2021-09-07 02:45:54.258202 : Building dataset train from orignial text documents
2021-09-07 02:46:19.960402 : Finish Loading dataset train
2021-09-07 02:46:19.988007 : Data Shuffle
2021-09-07 02:46:20.021211 : Start Shuffling
2021-09-07 02:46:20.942530 : Finish Shuffling
2021-09-07 02:46:21.014143 : Generate Batch
2021-09-07 02:46:21.310781 : Building dataset valid from orignial text documents
2021-09-07 02:46:22.436032 : Finish Loading dataset valid
2021-09-07 02:46:22.461087 : Data Shuffle
2021-09-07 02:46:22.487536 : Start Shuffling
2021-09-07 02:46:22.545425 : Finish Shuffling
2021-09-07 02:46:22.565189 : Generate Batch
2021-09-07 02:46:22.595664 : There are 787 batches per epoch
2021-09-07 02:46:22.613505 : Batch Shuffled
2021-09-07 02:48:07.826332 : Building dataset train from orignial text documents
2021-09-07 02:48:33.217134 : Finish Loading dataset train
2021-09-07 02:48:33.245972 : Data Shuffle
2021-09-07 02:48:33.259212 : Start Shuffling
2021-09-07 02:48:34.178445 : Finish Shuffling
2021-09-07 02:48:34.256152 : Generate Batch
2021-09-07 02:48:34.533427 : Building dataset valid from orignial text documents
2021-09-07 02:48:35.648915 : Finish Loading dataset valid
2021-09-07 02:48:35.674152 : Data Shuffle
2021-09-07 02:48:35.690760 : Start Shuffling
2021-09-07 02:48:35.748768 : Finish Shuffling
2021-09-07 02:48:35.770349 : Generate Batch
2021-09-07 02:48:35.799529 : There are 787 batches per epoch
2021-09-07 02:48:35.816423 : Batch Shuffled
2021-09-07 02:49:52.796727 : Building dataset train from orignial text documents
2021-09-07 02:50:18.067581 : Finish Loading dataset train
2021-09-07 02:50:18.103225 : Data Shuffle
2021-09-07 02:50:18.134024 : Start Shuffling
2021-09-07 02:50:19.068146 : Finish Shuffling
2021-09-07 02:50:19.145029 : Generate Batch
2021-09-07 02:50:19.452053 : Building dataset valid from orignial text documents
2021-09-07 02:50:20.560167 : Finish Loading dataset valid
2021-09-07 02:50:20.590221 : Data Shuffle
2021-09-07 02:50:20.623403 : Start Shuffling
2021-09-07 02:50:20.699947 : Finish Shuffling
2021-09-07 02:50:20.733340 : Generate Batch
2021-09-07 02:50:20.781676 : There are 787 batches per epoch
2021-09-07 02:50:20.815823 : Batch Shuffled
2021-09-07 02:50:22.915572 : Epoch  1, Batch      1, Loss  1.131831, Average Loss  1.131831, Time  0.668692
2021-09-07 02:50:24.814690 : Epoch  1, Batch      2, Loss  1.129041, Average Loss  1.130436, Time  0.461854
2021-09-07 02:50:26.717098 : Epoch  1, Batch      3, Loss  1.128399, Average Loss  1.129757, Time  0.460605
2021-09-07 02:50:28.592271 : Epoch  1, Batch      4, Loss  1.123432, Average Loss  1.128176, Time  0.460456
2021-09-07 02:50:30.462053 : Epoch  1, Batch      5, Loss  1.115865, Average Loss  1.125714, Time  0.460095
2021-09-07 02:50:32.325752 : Epoch  1, Batch      6, Loss  1.105397, Average Loss  1.122328, Time  0.459917
2021-09-07 02:50:34.185728 : Epoch  1, Batch      7, Loss  1.096993, Average Loss  1.118708, Time  0.459539
2021-09-07 02:50:36.040421 : Epoch  1, Batch      8, Loss  1.085054, Average Loss  1.114502, Time  0.460080
2021-09-07 02:50:37.900772 : Epoch  1, Batch      9, Loss  1.077467, Average Loss  1.110387, Time  0.460000
2021-09-07 02:50:39.762877 : Epoch  1, Batch     10, Loss  1.064659, Average Loss  1.105814, Time  0.461271
2021-09-07 02:50:41.636428 : Epoch  1, Batch     11, Loss  1.050771, Average Loss  1.100810, Time  0.460441
2021-09-07 02:50:43.508574 : Epoch  1, Batch     12, Loss  1.040707, Average Loss  1.095801, Time  0.460102
2021-09-07 02:50:45.372040 : Epoch  1, Batch     13, Loss  1.024936, Average Loss  1.090350, Time  0.459995
2021-09-07 02:50:47.254930 : Epoch  1, Batch     14, Loss  1.017127, Average Loss  1.085120, Time  0.460498
2021-09-07 02:50:49.136364 : Epoch  1, Batch     15, Loss  1.014788, Average Loss  1.080431, Time  0.460509
2021-09-07 02:50:51.054972 : Epoch  1, Batch     16, Loss  1.005822, Average Loss  1.075768, Time  0.462672
2021-09-07 02:50:52.979409 : Epoch  1, Batch     17, Loss  0.993087, Average Loss  1.070905, Time  0.461330
2021-09-07 02:50:54.872191 : Epoch  1, Batch     18, Loss  0.986667, Average Loss  1.066225, Time  0.460572
2021-09-07 02:50:56.737295 : Epoch  1, Batch     19, Loss  0.982434, Average Loss  1.061815, Time  0.459925
2021-09-07 02:50:58.595434 : Epoch  1, Batch     20, Loss  0.974431, Average Loss  1.057445, Time  0.459705
2021-09-07 02:51:00.464446 : Epoch  1, Batch     21, Loss  0.966672, Average Loss  1.053123, Time  0.461054
2021-09-07 02:51:02.342661 : Epoch  1, Batch     22, Loss  0.966249, Average Loss  1.049174, Time  0.460649
2021-09-07 02:51:04.211704 : Epoch  1, Batch     23, Loss  0.959623, Average Loss  1.045281, Time  0.459829
2021-09-07 02:51:06.071784 : Epoch  1, Batch     24, Loss  0.962530, Average Loss  1.041833, Time  0.459604
2021-09-07 02:51:07.957486 : Epoch  1, Batch     25, Loss  0.950815, Average Loss  1.038192, Time  0.459714
2021-09-07 02:51:09.817501 : Epoch  1, Batch     26, Loss  0.954951, Average Loss  1.034990, Time  0.461158
2021-09-07 02:51:11.681652 : Epoch  1, Batch     27, Loss  0.951707, Average Loss  1.031906, Time  0.459873
2021-09-07 02:51:13.557625 : Epoch  1, Batch     28, Loss  0.949956, Average Loss  1.028979, Time  0.460562
2021-09-07 02:51:15.432700 : Epoch  1, Batch     29, Loss  0.943655, Average Loss  1.026037, Time  0.459934
2021-09-07 02:51:17.300580 : Epoch  1, Batch     30, Loss  0.947214, Average Loss  1.023409, Time  0.459723
2021-09-07 02:51:19.163124 : Epoch  1, Batch     31, Loss  0.939291, Average Loss  1.020696, Time  0.460145
2021-09-07 02:51:21.022254 : Epoch  1, Batch     32, Loss  0.935312, Average Loss  1.018028, Time  0.458697
2021-09-07 02:51:22.899126 : Epoch  1, Batch     33, Loss  0.938409, Average Loss  1.015615, Time  0.459725
2021-09-07 02:51:24.767873 : Epoch  1, Batch     34, Loss  0.936971, Average Loss  1.013302, Time  0.460220
2021-09-07 02:51:26.627673 : Epoch  1, Batch     35, Loss  0.927933, Average Loss  1.010863, Time  0.459373
2021-09-07 02:51:28.496515 : Epoch  1, Batch     36, Loss  0.934413, Average Loss  1.008739, Time  0.461337
2021-09-07 02:51:30.374320 : Epoch  1, Batch     37, Loss  0.929783, Average Loss  1.006605, Time  0.459497
2021-09-07 02:51:32.244315 : Epoch  1, Batch     38, Loss  0.924102, Average Loss  1.004434, Time  0.460431
2021-09-07 02:51:34.107227 : Epoch  1, Batch     39, Loss  0.919825, Average Loss  1.002265, Time  0.460674
2021-09-07 02:51:35.977875 : Epoch  1, Batch     40, Loss  0.912190, Average Loss  1.000013, Time  0.459892
2021-09-07 02:51:37.849339 : Epoch  1, Batch     41, Loss  0.911672, Average Loss  0.997858, Time  0.460870
2021-09-07 02:51:39.720747 : Epoch  1, Batch     42, Loss  0.908518, Average Loss  0.995731, Time  0.459751
2021-09-07 02:51:41.579434 : Epoch  1, Batch     43, Loss  0.898960, Average Loss  0.993480, Time  0.460908
2021-09-07 02:51:43.462476 : Epoch  1, Batch     44, Loss  0.888650, Average Loss  0.991098, Time  0.461191
2021-09-07 02:51:45.341871 : Epoch  1, Batch     45, Loss  0.882545, Average Loss  0.988686, Time  0.460293
2021-09-07 02:51:47.223473 : Epoch  1, Batch     46, Loss  0.875884, Average Loss  0.986233, Time  0.461377
2021-09-07 02:51:49.091136 : Epoch  1, Batch     47, Loss  0.864693, Average Loss  0.983648, Time  0.460639
2021-09-07 02:51:50.971953 : Epoch  1, Batch     48, Loss  0.850631, Average Loss  0.980876, Time  0.460286
2021-09-07 02:51:52.860099 : Epoch  1, Batch     49, Loss  0.839668, Average Loss  0.977995, Time  0.460307
2021-09-07 02:51:54.719812 : Epoch  1, Batch     50, Loss  0.826551, Average Loss  0.974966, Time  0.460368
2021-09-07 02:51:56.584201 : Epoch  1, Batch     51, Loss  0.816899, Average Loss  0.971866, Time  0.460134
2021-09-07 02:51:58.461579 : Epoch  1, Batch     52, Loss  0.800513, Average Loss  0.968571, Time  0.460495
2021-09-07 02:52:00.342409 : Epoch  1, Batch     53, Loss  0.786709, Average Loss  0.965140, Time  0.459541
2021-09-07 02:52:02.205816 : Epoch  1, Batch     54, Loss  0.786560, Average Loss  0.961833, Time  0.459839
2021-09-07 02:52:04.067769 : Epoch  1, Batch     55, Loss  0.765928, Average Loss  0.958271, Time  0.459326
2021-09-07 02:52:05.931321 : Epoch  1, Batch     56, Loss  0.765822, Average Loss  0.954834, Time  0.460486
2021-09-07 02:52:07.795616 : Epoch  1, Batch     57, Loss  0.768382, Average Loss  0.951563, Time  0.460006
2021-09-07 02:52:09.651683 : Epoch  1, Batch     58, Loss  0.744394, Average Loss  0.947991, Time  0.459517
2021-09-07 02:52:11.512285 : Epoch  1, Batch     59, Loss  0.753415, Average Loss  0.944693, Time  0.459614
2021-09-07 02:52:13.377230 : Epoch  1, Batch     60, Loss  0.719561, Average Loss  0.940941, Time  0.460261
2021-09-07 02:52:15.247459 : Epoch  1, Batch     61, Loss  0.713124, Average Loss  0.937206, Time  0.459937
2021-09-07 02:52:17.106087 : Epoch  1, Batch     62, Loss  0.709914, Average Loss  0.933540, Time  0.458377
2021-09-07 02:52:18.933495 : Epoch  1, Batch     63, Loss  0.705006, Average Loss  0.929913, Time  0.458968
2021-09-07 02:52:20.800875 : Epoch  1, Batch     64, Loss  0.696684, Average Loss  0.926269, Time  0.460221
2021-09-07 02:52:22.666844 : Epoch  1, Batch     65, Loss  0.684419, Average Loss  0.922548, Time  0.459811
2021-09-07 02:52:24.526245 : Epoch  1, Batch     66, Loss  0.701249, Average Loss  0.919195, Time  0.459326
2021-09-07 02:52:26.384445 : Epoch  1, Batch     67, Loss  0.674128, Average Loss  0.915537, Time  0.459929
2021-09-07 02:52:28.253786 : Epoch  1, Batch     68, Loss  0.684262, Average Loss  0.912136, Time  0.460574
2021-09-07 02:52:30.131853 : Epoch  1, Batch     69, Loss  0.679558, Average Loss  0.908765, Time  0.460277
2021-09-07 02:52:32.004524 : Epoch  1, Batch     70, Loss  0.666765, Average Loss  0.905308, Time  0.461249
2021-09-07 02:52:33.877231 : Epoch  1, Batch     71, Loss  0.670185, Average Loss  0.901997, Time  0.460131
2021-09-07 02:52:35.735308 : Epoch  1, Batch     72, Loss  0.659591, Average Loss  0.898630, Time  0.460044
2021-09-07 02:52:37.594615 : Epoch  1, Batch     73, Loss  0.666106, Average Loss  0.895445, Time  0.460029
2021-09-07 02:52:39.460429 : Epoch  1, Batch     74, Loss  0.651305, Average Loss  0.892145, Time  0.459418
2021-09-07 02:52:41.339059 : Epoch  1, Batch     75, Loss  0.664235, Average Loss  0.889107, Time  0.459649
2021-09-07 02:52:43.202971 : Epoch  1, Batch     76, Loss  0.655300, Average Loss  0.886030, Time  0.460680
2021-09-07 02:52:45.080042 : Epoch  1, Batch     77, Loss  0.651527, Average Loss  0.882985, Time  0.460918
2021-09-07 02:52:46.951949 : Epoch  1, Batch     78, Loss  0.651789, Average Loss  0.880021, Time  0.460087
2021-09-07 02:52:48.837814 : Epoch  1, Batch     79, Loss  0.659005, Average Loss  0.877223, Time  0.459688
2021-09-07 02:52:50.708395 : Epoch  1, Batch     80, Loss  0.643669, Average Loss  0.874304, Time  0.460592
2021-09-07 02:52:52.580064 : Epoch  1, Batch     81, Loss  0.656579, Average Loss  0.871616, Time  0.459276
2021-09-07 02:52:54.439997 : Epoch  1, Batch     82, Loss  0.644230, Average Loss  0.868843, Time  0.460261
2021-09-07 02:52:56.310716 : Epoch  1, Batch     83, Loss  0.660836, Average Loss  0.866337, Time  0.461584
2021-09-07 02:52:58.173631 : Epoch  1, Batch     84, Loss  0.650467, Average Loss  0.863767, Time  0.459512
2021-09-07 02:53:00.036807 : Epoch  1, Batch     85, Loss  0.653936, Average Loss  0.861298, Time  0.459958
2021-09-07 02:53:01.915569 : Epoch  1, Batch     86, Loss  0.649813, Average Loss  0.858839, Time  0.460487
2021-09-07 02:53:03.791335 : Epoch  1, Batch     87, Loss  0.654269, Average Loss  0.856488, Time  0.459960
2021-09-07 02:53:05.659842 : Epoch  1, Batch     88, Loss  0.643482, Average Loss  0.854067, Time  0.460255
2021-09-07 02:53:07.538430 : Epoch  1, Batch     89, Loss  0.646783, Average Loss  0.851738, Time  0.460701
2021-09-07 02:53:09.415670 : Epoch  1, Batch     90, Loss  0.647069, Average Loss  0.849464, Time  0.459616
2021-09-07 02:53:11.280481 : Epoch  1, Batch     91, Loss  0.652204, Average Loss  0.847296, Time  0.460446
2021-09-07 02:53:13.143612 : Epoch  1, Batch     92, Loss  0.646588, Average Loss  0.845115, Time  0.459842
2021-09-07 02:53:15.008446 : Epoch  1, Batch     93, Loss  0.650091, Average Loss  0.843018, Time  0.460387
2021-09-07 02:53:16.880887 : Epoch  1, Batch     94, Loss  0.645797, Average Loss  0.840920, Time  0.461251
2021-09-07 02:53:18.756492 : Epoch  1, Batch     95, Loss  0.651431, Average Loss  0.838925, Time  0.461667
2021-09-07 02:53:20.639940 : Epoch  1, Batch     96, Loss  0.635483, Average Loss  0.836806, Time  0.459974
2021-09-07 02:53:22.518499 : Epoch  1, Batch     97, Loss  0.647052, Average Loss  0.834849, Time  0.461769
2021-09-07 02:53:24.398708 : Epoch  1, Batch     98, Loss  0.649189, Average Loss  0.832955, Time  0.459785
2021-09-07 02:53:26.269510 : Epoch  1, Batch     99, Loss  0.655426, Average Loss  0.831162, Time  0.460662
2021-09-07 02:53:28.134680 : Epoch  1, Batch    100, Loss  0.649629, Average Loss  0.829346, Time  0.459284
2021-09-07 02:55:45.115515 : Building dataset train from orignial text documents
2021-09-07 02:56:10.658361 : Finish Loading dataset train
2021-09-07 02:56:10.687942 : Data Shuffle
2021-09-07 02:56:10.717963 : Start Shuffling
2021-09-07 02:56:11.633155 : Finish Shuffling
2021-09-07 02:56:11.710374 : Generate Batch
2021-09-07 02:56:12.005434 : Building dataset valid from orignial text documents
2021-09-07 02:56:13.106622 : Finish Loading dataset valid
2021-09-07 02:56:13.141233 : Data Shuffle
2021-09-07 02:56:13.174568 : Start Shuffling
2021-09-07 02:56:13.248535 : Finish Shuffling
2021-09-07 02:56:13.275676 : Generate Batch
2021-09-07 02:56:13.323511 : There are 787 batches per epoch
2021-09-07 02:56:13.350218 : Batch Shuffled
2021-09-07 02:56:15.432143 : Epoch  1, Batch      1, Loss  1.191906, Average Loss  1.191906, Time  0.666622
2021-09-07 02:56:17.295649 : Epoch  1, Batch      2, Loss  1.190055, Average Loss  1.190981, Time  0.461008
2021-09-07 02:56:19.178131 : Epoch  1, Batch      3, Loss  1.200572, Average Loss  1.194178, Time  0.461655
2021-09-07 02:56:21.090964 : Epoch  1, Batch      4, Loss  1.182444, Average Loss  1.191245, Time  0.463454
2021-09-07 02:56:23.002680 : Epoch  1, Batch      5, Loss  1.173622, Average Loss  1.187720, Time  0.462143
2021-09-07 02:56:24.903986 : Epoch  1, Batch      6, Loss  1.161716, Average Loss  1.183386, Time  0.461042
2021-09-07 02:56:26.776323 : Epoch  1, Batch      7, Loss  1.148965, Average Loss  1.178469, Time  0.460306
2021-09-07 02:56:28.632475 : Epoch  1, Batch      8, Loss  1.127785, Average Loss  1.172133, Time  0.460966
2021-09-07 02:56:30.516231 : Epoch  1, Batch      9, Loss  1.117713, Average Loss  1.166087, Time  0.461892
2021-09-07 02:56:32.399941 : Epoch  1, Batch     10, Loss  1.100929, Average Loss  1.159571, Time  0.461742
2021-09-07 02:56:34.272291 : Epoch  1, Batch     11, Loss  1.083816, Average Loss  1.152684, Time  0.460836
2021-09-07 02:56:36.137074 : Epoch  1, Batch     12, Loss  1.061813, Average Loss  1.145112, Time  0.461434
2021-09-07 02:56:38.017412 : Epoch  1, Batch     13, Loss  1.055644, Average Loss  1.138229, Time  0.460126
2021-09-07 02:56:39.872250 : Epoch  1, Batch     14, Loss  1.030631, Average Loss  1.130544, Time  0.460822
2021-09-07 02:56:41.728721 : Epoch  1, Batch     15, Loss  1.023953, Average Loss  1.123438, Time  0.461972
2021-09-07 02:56:43.606761 : Epoch  1, Batch     16, Loss  1.011992, Average Loss  1.116472, Time  0.461243
2021-09-07 02:56:45.481921 : Epoch  1, Batch     17, Loss  1.003449, Average Loss  1.109824, Time  0.461344
2021-09-07 02:56:47.370139 : Epoch  1, Batch     18, Loss  0.988085, Average Loss  1.103061, Time  0.462286
2021-09-07 02:56:49.262365 : Epoch  1, Batch     19, Loss  0.984088, Average Loss  1.096799, Time  0.461086
2021-09-07 02:56:51.127563 : Epoch  1, Batch     20, Loss  0.978447, Average Loss  1.090881, Time  0.461433
2021-09-07 02:56:53.016581 : Epoch  1, Batch     21, Loss  0.972470, Average Loss  1.085243, Time  0.461549
2021-09-07 02:56:54.886108 : Epoch  1, Batch     22, Loss  0.962585, Average Loss  1.079667, Time  0.461099
2021-09-07 02:56:56.764871 : Epoch  1, Batch     23, Loss  0.962716, Average Loss  1.074582, Time  0.461736
2021-09-07 02:56:58.651094 : Epoch  1, Batch     24, Loss  0.964048, Average Loss  1.069977, Time  0.461509
2021-09-07 02:57:00.540999 : Epoch  1, Batch     25, Loss  0.956700, Average Loss  1.065446, Time  0.461979
2021-09-07 02:57:02.422341 : Epoch  1, Batch     26, Loss  0.948949, Average Loss  1.060965, Time  0.461822
2021-09-07 02:57:04.288072 : Epoch  1, Batch     27, Loss  0.952178, Average Loss  1.056936, Time  0.461978
2021-09-07 02:57:06.169717 : Epoch  1, Batch     28, Loss  0.947019, Average Loss  1.053010, Time  0.461213
2021-09-07 02:57:08.047927 : Epoch  1, Batch     29, Loss  0.945408, Average Loss  1.049300, Time  0.460282
2021-09-07 02:57:09.930771 : Epoch  1, Batch     30, Loss  0.939000, Average Loss  1.045623, Time  0.461853
2021-09-07 02:57:11.820022 : Epoch  1, Batch     31, Loss  0.931615, Average Loss  1.041946, Time  0.464076
2021-09-07 02:57:13.691509 : Epoch  1, Batch     32, Loss  0.938178, Average Loss  1.038703, Time  0.460296
2021-09-07 02:57:15.560722 : Epoch  1, Batch     33, Loss  0.942098, Average Loss  1.035775, Time  0.460540
2021-09-07 02:57:17.431160 : Epoch  1, Batch     34, Loss  0.928169, Average Loss  1.032611, Time  0.463113
2021-09-07 02:57:19.302072 : Epoch  1, Batch     35, Loss  0.928218, Average Loss  1.029628, Time  0.461717
2021-09-07 02:57:21.192476 : Epoch  1, Batch     36, Loss  0.925135, Average Loss  1.026725, Time  0.461409
2021-09-07 02:57:23.061555 : Epoch  1, Batch     37, Loss  0.917937, Average Loss  1.023785, Time  0.460547
2021-09-07 02:57:24.932472 : Epoch  1, Batch     38, Loss  0.914300, Average Loss  1.020904, Time  0.463122
2021-09-07 02:57:26.807317 : Epoch  1, Batch     39, Loss  0.914641, Average Loss  1.018179, Time  0.461134
2021-09-07 02:57:28.683429 : Epoch  1, Batch     40, Loss  0.906384, Average Loss  1.015384, Time  0.460804
2021-09-07 02:57:30.548624 : Epoch  1, Batch     41, Loss  0.897131, Average Loss  1.012500, Time  0.460968
2021-09-07 02:57:32.409273 : Epoch  1, Batch     42, Loss  0.888908, Average Loss  1.009557, Time  0.460861
2021-09-07 02:57:34.275967 : Epoch  1, Batch     43, Loss  0.890764, Average Loss  1.006795, Time  0.460964
2021-09-07 02:57:36.141525 : Epoch  1, Batch     44, Loss  0.872279, Average Loss  1.003738, Time  0.461026
2021-09-07 02:57:38.027758 : Epoch  1, Batch     45, Loss  0.862763, Average Loss  1.000605, Time  0.461492
2021-09-07 02:57:39.902696 : Epoch  1, Batch     46, Loss  0.851960, Average Loss  0.997373, Time  0.460309
2021-09-07 02:57:41.773406 : Epoch  1, Batch     47, Loss  0.836185, Average Loss  0.993944, Time  0.460796
2021-09-07 02:57:43.660299 : Epoch  1, Batch     48, Loss  0.833159, Average Loss  0.990594, Time  0.460920
2021-09-07 02:57:45.545289 : Epoch  1, Batch     49, Loss  0.823943, Average Loss  0.987193, Time  0.462097
2021-09-07 02:57:47.444297 : Epoch  1, Batch     50, Loss  0.816608, Average Loss  0.983781, Time  0.462311
2021-09-07 02:57:49.322259 : Epoch  1, Batch     51, Loss  0.821991, Average Loss  0.980609, Time  0.461154
2021-09-07 02:57:51.190812 : Epoch  1, Batch     52, Loss  0.821798, Average Loss  0.977555, Time  0.460759
2021-09-07 02:57:53.062365 : Epoch  1, Batch     53, Loss  0.819847, Average Loss  0.974579, Time  0.461227
2021-09-07 02:57:54.927787 : Epoch  1, Batch     54, Loss  0.820721, Average Loss  0.971730, Time  0.461046
2021-09-07 02:57:56.805530 : Epoch  1, Batch     55, Loss  0.824494, Average Loss  0.969053, Time  0.460703
2021-09-07 02:57:58.673200 : Epoch  1, Batch     56, Loss  0.810433, Average Loss  0.966221, Time  0.461862
2021-09-07 02:58:00.540643 : Epoch  1, Batch     57, Loss  0.803947, Average Loss  0.963374, Time  0.461631
2021-09-07 02:58:02.411473 : Epoch  1, Batch     58, Loss  0.800449, Average Loss  0.960565, Time  0.460742
2021-09-07 02:58:04.279518 : Epoch  1, Batch     59, Loss  0.787594, Average Loss  0.957633, Time  0.461275
2021-09-07 02:58:06.166517 : Epoch  1, Batch     60, Loss  0.754717, Average Loss  0.954251, Time  0.461536
2021-09-07 02:58:08.048130 : Epoch  1, Batch     61, Loss  0.758060, Average Loss  0.951035, Time  0.460528
2021-09-07 02:58:09.911105 : Epoch  1, Batch     62, Loss  0.751387, Average Loss  0.947815, Time  0.460525
2021-09-07 02:58:11.783201 : Epoch  1, Batch     63, Loss  0.742486, Average Loss  0.944556, Time  0.460885
2021-09-07 02:58:13.653616 : Epoch  1, Batch     64, Loss  0.710362, Average Loss  0.940896, Time  0.460850
2021-09-07 02:58:15.525780 : Epoch  1, Batch     65, Loss  0.704841, Average Loss  0.937265, Time  0.461507
2021-09-07 02:58:17.394333 : Epoch  1, Batch     66, Loss  0.694329, Average Loss  0.933584, Time  0.461119
2021-09-07 02:58:19.265407 : Epoch  1, Batch     67, Loss  0.685900, Average Loss  0.929887, Time  0.461006
2021-09-07 02:58:21.145431 : Epoch  1, Batch     68, Loss  0.680395, Average Loss  0.926218, Time  0.462098
2021-09-07 02:58:23.013627 : Epoch  1, Batch     69, Loss  0.670363, Average Loss  0.922510, Time  0.460853
2021-09-07 02:58:24.893697 : Epoch  1, Batch     70, Loss  0.660749, Average Loss  0.918771, Time  0.461415
2021-09-07 02:58:26.780703 : Epoch  1, Batch     71, Loss  0.677423, Average Loss  0.915371, Time  0.461799
2021-09-07 02:58:28.647124 : Epoch  1, Batch     72, Loss  0.675586, Average Loss  0.912041, Time  0.461792
2021-09-07 02:58:30.524861 : Epoch  1, Batch     73, Loss  0.670753, Average Loss  0.908736, Time  0.461029
2021-09-07 02:58:32.394925 : Epoch  1, Batch     74, Loss  0.669446, Average Loss  0.905502, Time  0.460479
2021-09-07 02:58:34.256306 : Epoch  1, Batch     75, Loss  0.662879, Average Loss  0.902267, Time  0.460965
2021-09-07 02:58:36.132021 : Epoch  1, Batch     76, Loss  0.656171, Average Loss  0.899029, Time  0.461635
2021-09-07 02:58:38.013995 : Epoch  1, Batch     77, Loss  0.651677, Average Loss  0.895817, Time  0.461526
2021-09-07 02:58:39.900061 : Epoch  1, Batch     78, Loss  0.649798, Average Loss  0.892662, Time  0.460360
2021-09-07 02:58:41.783743 : Epoch  1, Batch     79, Loss  0.654528, Average Loss  0.889648, Time  0.460357
2021-09-07 02:58:43.669163 : Epoch  1, Batch     80, Loss  0.650929, Average Loss  0.886664, Time  0.461829
2021-09-07 02:58:45.547932 : Epoch  1, Batch     81, Loss  0.659830, Average Loss  0.883864, Time  0.460651
2021-09-07 02:58:47.414798 : Epoch  1, Batch     82, Loss  0.659105, Average Loss  0.881123, Time  0.461446
2021-09-07 02:58:49.285274 : Epoch  1, Batch     83, Loss  0.644153, Average Loss  0.878268, Time  0.461720
2021-09-07 02:58:51.155844 : Epoch  1, Batch     84, Loss  0.646036, Average Loss  0.875503, Time  0.461478
2021-09-07 02:58:53.048346 : Epoch  1, Batch     85, Loss  0.650170, Average Loss  0.872852, Time  0.462624
2021-09-07 02:58:54.935566 : Epoch  1, Batch     86, Loss  0.650415, Average Loss  0.870266, Time  0.461101
2021-09-07 02:58:56.806638 : Epoch  1, Batch     87, Loss  0.641743, Average Loss  0.867639, Time  0.461179
2021-09-07 02:58:58.674882 : Epoch  1, Batch     88, Loss  0.656307, Average Loss  0.865237, Time  0.461960
2021-09-07 02:59:00.556355 : Epoch  1, Batch     89, Loss  0.641678, Average Loss  0.862725, Time  0.460937
2021-09-07 02:59:02.430129 : Epoch  1, Batch     90, Loss  0.655518, Average Loss  0.860423, Time  0.461631
2021-09-07 02:59:04.298935 : Epoch  1, Batch     91, Loss  0.642438, Average Loss  0.858028, Time  0.461273
2021-09-07 02:59:06.174032 : Epoch  1, Batch     92, Loss  0.645201, Average Loss  0.855714, Time  0.461365
2021-09-07 02:59:08.055438 : Epoch  1, Batch     93, Loss  0.654920, Average Loss  0.853555, Time  0.460812
2021-09-07 02:59:09.919315 : Epoch  1, Batch     94, Loss  0.652105, Average Loss  0.851412, Time  0.460872
2021-09-07 02:59:11.783707 : Epoch  1, Batch     95, Loss  0.640124, Average Loss  0.849188, Time  0.460693
2021-09-07 02:59:13.648834 : Epoch  1, Batch     96, Loss  0.644473, Average Loss  0.847056, Time  0.461143
2021-09-07 02:59:15.540577 : Epoch  1, Batch     97, Loss  0.654389, Average Loss  0.845069, Time  0.461929
2021-09-07 02:59:17.424970 : Epoch  1, Batch     98, Loss  0.638763, Average Loss  0.842964, Time  0.461614
2021-09-07 02:59:19.301155 : Epoch  1, Batch     99, Loss  0.651944, Average Loss  0.841035, Time  0.462061
2021-09-07 02:59:21.178022 : Epoch  1, Batch    100, Loss  0.647714, Average Loss  0.839102, Time  0.461605
2021-09-07 03:00:25.392535 : CheckPoint: Validation Loss  0.00027180, Best Loss  0.00027180
2021-09-07 03:00:25.418706 : Best Model Updated
2021-09-07 03:00:31.619017 : Epoch  1, Batch    101, Loss  0.645751, Average Loss  0.837187, Time  0.476034
2021-09-07 03:00:33.498075 : Epoch  1, Batch    102, Loss  0.644910, Average Loss  0.835302, Time  0.462091
2021-09-07 03:00:35.368035 : Epoch  1, Batch    103, Loss  0.657874, Average Loss  0.833579, Time  0.460502
2021-09-07 03:00:37.229321 : Epoch  1, Batch    104, Loss  0.642462, Average Loss  0.831742, Time  0.460742
2021-09-07 03:00:39.103111 : Epoch  1, Batch    105, Loss  0.647945, Average Loss  0.829991, Time  0.460649
2021-09-07 03:00:40.983844 : Epoch  1, Batch    106, Loss  0.648661, Average Loss  0.828281, Time  0.461741
2021-09-07 03:00:42.873472 : Epoch  1, Batch    107, Loss  0.642912, Average Loss  0.826548, Time  0.461172
2021-09-07 03:00:44.739412 : Epoch  1, Batch    108, Loss  0.644318, Average Loss  0.824861, Time  0.461948
2021-09-07 03:00:46.635841 : Epoch  1, Batch    109, Loss  0.642739, Average Loss  0.823190, Time  0.461746
2021-09-07 03:00:48.506532 : Epoch  1, Batch    110, Loss  0.644713, Average Loss  0.821568, Time  0.461413
2021-09-07 03:00:50.366629 : Epoch  1, Batch    111, Loss  0.633682, Average Loss  0.819875, Time  0.460591
2021-09-07 03:00:52.231434 : Epoch  1, Batch    112, Loss  0.648468, Average Loss  0.818345, Time  0.462658
2021-09-07 03:00:54.111485 : Epoch  1, Batch    113, Loss  0.654772, Average Loss  0.816897, Time  0.460098
2021-09-07 03:00:55.985458 : Epoch  1, Batch    114, Loss  0.647002, Average Loss  0.815407, Time  0.461392
2021-09-07 03:00:57.862277 : Epoch  1, Batch    115, Loss  0.654619, Average Loss  0.814009, Time  0.460706
2021-09-07 03:00:59.728201 : Epoch  1, Batch    116, Loss  0.644446, Average Loss  0.812547, Time  0.462542
2021-09-07 03:01:01.589245 : Epoch  1, Batch    117, Loss  0.637670, Average Loss  0.811052, Time  0.461740
2021-09-07 03:01:03.481250 : Epoch  1, Batch    118, Loss  0.644618, Average Loss  0.809642, Time  0.461619
2021-09-07 03:01:05.396406 : Epoch  1, Batch    119, Loss  0.646862, Average Loss  0.808274, Time  0.464758
2021-09-07 03:01:07.279616 : Epoch  1, Batch    120, Loss  0.642280, Average Loss  0.806890, Time  0.461665
2021-09-07 03:01:09.163781 : Epoch  1, Batch    121, Loss  0.649321, Average Loss  0.805588, Time  0.462983
2021-09-07 03:01:11.054252 : Epoch  1, Batch    122, Loss  0.633063, Average Loss  0.804174, Time  0.461607
2021-09-07 03:01:12.950244 : Epoch  1, Batch    123, Loss  0.644800, Average Loss  0.802878, Time  0.460846
2021-09-07 03:01:14.820069 : Epoch  1, Batch    124, Loss  0.650329, Average Loss  0.801648, Time  0.461259
2021-09-07 03:01:16.689048 : Epoch  1, Batch    125, Loss  0.645411, Average Loss  0.800398, Time  0.461732
2021-09-07 03:01:18.553177 : Epoch  1, Batch    126, Loss  0.660768, Average Loss  0.799290, Time  0.462146
2021-09-07 03:01:20.426749 : Epoch  1, Batch    127, Loss  0.640886, Average Loss  0.798043, Time  0.460418
2021-09-07 03:01:22.306031 : Epoch  1, Batch    128, Loss  0.652601, Average Loss  0.796907, Time  0.462253
2021-09-07 03:01:24.160028 : Epoch  1, Batch    129, Loss  0.651511, Average Loss  0.795779, Time  0.460917
2021-09-07 03:01:26.021887 : Epoch  1, Batch    130, Loss  0.641889, Average Loss  0.794596, Time  0.460587
2021-09-07 03:01:27.881017 : Epoch  1, Batch    131, Loss  0.644893, Average Loss  0.793453, Time  0.460808
2021-09-07 03:01:29.745655 : Epoch  1, Batch    132, Loss  0.649019, Average Loss  0.792359, Time  0.461767
2021-09-07 03:01:31.632631 : Epoch  1, Batch    133, Loss  0.636825, Average Loss  0.791189, Time  0.461264
2021-09-07 03:01:33.511625 : Epoch  1, Batch    134, Loss  0.641750, Average Loss  0.790074, Time  0.461552
2021-09-07 03:01:35.394634 : Epoch  1, Batch    135, Loss  0.654612, Average Loss  0.789071, Time  0.461793
2021-09-07 03:01:37.278993 : Epoch  1, Batch    136, Loss  0.636085, Average Loss  0.787946, Time  0.462119
2021-09-07 03:01:39.160440 : Epoch  1, Batch    137, Loss  0.645699, Average Loss  0.786907, Time  0.461904
2021-09-07 03:01:41.049412 : Epoch  1, Batch    138, Loss  0.639444, Average Loss  0.785839, Time  0.460748
2021-09-07 03:01:42.925064 : Epoch  1, Batch    139, Loss  0.642917, Average Loss  0.784811, Time  0.461687
2021-09-07 03:01:44.809907 : Epoch  1, Batch    140, Loss  0.643697, Average Loss  0.783803, Time  0.461293
2021-09-07 03:01:46.677090 : Epoch  1, Batch    141, Loss  0.654113, Average Loss  0.782883, Time  0.460522
2021-09-07 03:01:48.541915 : Epoch  1, Batch    142, Loss  0.641482, Average Loss  0.781887, Time  0.460523
2021-09-07 03:01:50.412504 : Epoch  1, Batch    143, Loss  0.635014, Average Loss  0.780860, Time  0.460886
2021-09-07 03:01:52.273115 : Epoch  1, Batch    144, Loss  0.649970, Average Loss  0.779951, Time  0.460862
2021-09-07 03:01:54.153825 : Epoch  1, Batch    145, Loss  0.643639, Average Loss  0.779011, Time  0.461528
2021-09-07 03:01:56.039528 : Epoch  1, Batch    146, Loss  0.649938, Average Loss  0.778127, Time  0.461735
2021-09-07 03:01:57.925476 : Epoch  1, Batch    147, Loss  0.650662, Average Loss  0.777260, Time  0.461902
2021-09-07 03:01:59.804114 : Epoch  1, Batch    148, Loss  0.642687, Average Loss  0.776351, Time  0.461059
2021-09-07 03:02:01.674360 : Epoch  1, Batch    149, Loss  0.650310, Average Loss  0.775505, Time  0.461210
2021-09-07 03:02:03.565844 : Epoch  1, Batch    150, Loss  0.651702, Average Loss  0.774679, Time  0.462835
2021-09-07 03:02:05.439814 : Epoch  1, Batch    151, Loss  0.642058, Average Loss  0.773801, Time  0.461872
2021-09-07 03:02:07.333330 : Epoch  1, Batch    152, Loss  0.652326, Average Loss  0.773002, Time  0.462023
2021-09-07 03:02:09.208120 : Epoch  1, Batch    153, Loss  0.653119, Average Loss  0.772218, Time  0.460560
2021-09-07 03:02:11.083934 : Epoch  1, Batch    154, Loss  0.640740, Average Loss  0.771365, Time  0.460612
2021-09-07 03:02:12.953049 : Epoch  1, Batch    155, Loss  0.645670, Average Loss  0.770554, Time  0.461775
2021-09-07 03:02:14.831030 : Epoch  1, Batch    156, Loss  0.646353, Average Loss  0.769757, Time  0.460424
2021-09-07 03:02:16.698387 : Epoch  1, Batch    157, Loss  0.641904, Average Loss  0.768943, Time  0.460827
2021-09-07 03:02:18.582814 : Epoch  1, Batch    158, Loss  0.644235, Average Loss  0.768154, Time  0.461143
2021-09-07 03:02:20.458409 : Epoch  1, Batch    159, Loss  0.646696, Average Loss  0.767390, Time  0.461898
2021-09-07 03:02:22.324720 : Epoch  1, Batch    160, Loss  0.644405, Average Loss  0.766621, Time  0.460740
2021-09-07 03:02:24.205574 : Epoch  1, Batch    161, Loss  0.639698, Average Loss  0.765833, Time  0.460683
2021-09-07 03:02:26.080194 : Epoch  1, Batch    162, Loss  0.645470, Average Loss  0.765090, Time  0.461255
2021-09-07 03:02:27.952760 : Epoch  1, Batch    163, Loss  0.643102, Average Loss  0.764342, Time  0.461066
2021-09-07 03:02:28.152779 : Epoch  1, Batch    164, Loss  0.532737, Average Loss  0.762929, Time  0.158454
2021-09-07 03:02:30.030352 : Epoch  1, Batch    165, Loss  0.646076, Average Loss  0.762221, Time  0.461661
2021-09-07 03:02:31.922987 : Epoch  1, Batch    166, Loss  0.664734, Average Loss  0.761634, Time  0.460606
2021-09-07 03:02:33.796966 : Epoch  1, Batch    167, Loss  0.666947, Average Loss  0.761067, Time  0.460903
2021-09-07 03:02:35.667267 : Epoch  1, Batch    168, Loss  0.652095, Average Loss  0.760418, Time  0.461708
2021-09-07 03:02:37.541616 : Epoch  1, Batch    169, Loss  0.654180, Average Loss  0.759790, Time  0.462064
2021-09-07 03:02:39.479330 : Epoch  1, Batch    170, Loss  0.638989, Average Loss  0.759079, Time  0.460907
2021-09-07 03:02:41.353393 : Epoch  1, Batch    171, Loss  0.629207, Average Loss  0.758320, Time  0.460811
2021-09-07 03:02:45.328517 : Epoch  1, Batch    172, Loss  0.654675, Average Loss  0.757717, Time  0.473997
2021-09-07 03:02:47.190793 : Epoch  1, Batch    173, Loss  0.656534, Average Loss  0.757132, Time  0.460608
2021-09-07 03:02:49.060570 : Epoch  1, Batch    174, Loss  0.650003, Average Loss  0.756516, Time  0.460793
2021-09-07 03:02:50.941745 : Epoch  1, Batch    175, Loss  0.648378, Average Loss  0.755898, Time  0.462457
2021-09-07 03:02:52.829460 : Epoch  1, Batch    176, Loss  0.645042, Average Loss  0.755269, Time  0.461317
2021-09-07 03:02:54.711651 : Epoch  1, Batch    177, Loss  0.642888, Average Loss  0.754634, Time  0.461015
2021-09-07 03:02:56.573672 : Epoch  1, Batch    178, Loss  0.650630, Average Loss  0.754049, Time  0.460344
2021-09-07 03:02:58.475806 : Epoch  1, Batch    179, Loss  0.634808, Average Loss  0.753383, Time  0.460910
2021-09-07 03:03:00.363999 : Epoch  1, Batch    180, Loss  0.644134, Average Loss  0.752776, Time  0.461964
2021-09-07 03:03:02.257163 : Epoch  1, Batch    181, Loss  0.645770, Average Loss  0.752185, Time  0.461569
2021-09-07 03:03:04.154765 : Epoch  1, Batch    182, Loss  0.653736, Average Loss  0.751644, Time  0.460809
2021-09-07 03:03:06.019045 : Epoch  1, Batch    183, Loss  0.642330, Average Loss  0.751047, Time  0.461702
2021-09-07 03:03:07.899991 : Epoch  1, Batch    184, Loss  0.644202, Average Loss  0.750466, Time  0.461716
2021-09-07 03:03:09.777034 : Epoch  1, Batch    185, Loss  0.636935, Average Loss  0.749852, Time  0.461565
2021-09-07 03:03:11.664855 : Epoch  1, Batch    186, Loss  0.642338, Average Loss  0.749274, Time  0.463000
2021-09-07 03:03:13.537132 : Epoch  1, Batch    187, Loss  0.648732, Average Loss  0.748737, Time  0.460398
2021-09-07 03:03:15.397798 : Epoch  1, Batch    188, Loss  0.644431, Average Loss  0.748182, Time  0.461702
2021-09-07 03:03:17.261023 : Epoch  1, Batch    189, Loss  0.639149, Average Loss  0.747605, Time  0.461926
2021-09-07 03:03:19.148342 : Epoch  1, Batch    190, Loss  0.646421, Average Loss  0.747072, Time  0.461433
2021-09-07 03:03:21.027262 : Epoch  1, Batch    191, Loss  0.645915, Average Loss  0.746543, Time  0.462309
2021-09-07 03:03:22.889595 : Epoch  1, Batch    192, Loss  0.649376, Average Loss  0.746037, Time  0.461295
2021-09-07 03:03:24.759824 : Epoch  1, Batch    193, Loss  0.637981, Average Loss  0.745477, Time  0.460407
2021-09-07 03:03:26.624113 : Epoch  1, Batch    194, Loss  0.650428, Average Loss  0.744987, Time  0.461457
2021-09-07 03:03:28.515253 : Epoch  1, Batch    195, Loss  0.649739, Average Loss  0.744499, Time  0.461849
2021-09-07 03:03:30.393754 : Epoch  1, Batch    196, Loss  0.633200, Average Loss  0.743931, Time  0.461938
2021-09-07 03:03:32.272190 : Epoch  1, Batch    197, Loss  0.636846, Average Loss  0.743387, Time  0.460771
2021-09-07 03:03:34.136591 : Epoch  1, Batch    198, Loss  0.642043, Average Loss  0.742875, Time  0.460919
2021-09-07 03:03:36.002611 : Epoch  1, Batch    199, Loss  0.644003, Average Loss  0.742378, Time  0.460952
2021-09-07 03:03:37.870652 : Epoch  1, Batch    200, Loss  0.633286, Average Loss  0.741833, Time  0.462158
2021-09-07 03:04:41.921548 : CheckPoint: Validation Loss  0.00026035, Best Loss  0.00026035
2021-09-07 03:04:41.956035 : Best Model Updated
2021-09-07 03:04:46.836691 : Epoch  1, Batch    201, Loss  0.637728, Average Loss  0.739062, Time  0.473512
2021-09-07 03:04:48.719235 : Epoch  1, Batch    202, Loss  0.644561, Average Loss  0.736335, Time  0.460905
2021-09-07 03:04:50.594823 : Epoch  1, Batch    203, Loss  0.647470, Average Loss  0.733569, Time  0.460548
2021-09-07 03:04:52.468100 : Epoch  1, Batch    204, Loss  0.649858, Average Loss  0.730906, Time  0.461479
2021-09-07 03:04:54.360645 : Epoch  1, Batch    205, Loss  0.637294, Average Loss  0.728224, Time  0.459997
2021-09-07 03:04:56.238357 : Epoch  1, Batch    206, Loss  0.641067, Average Loss  0.725621, Time  0.461906
2021-09-07 03:04:58.129265 : Epoch  1, Batch    207, Loss  0.642230, Average Loss  0.723088, Time  0.461277
2021-09-07 03:05:00.019793 : Epoch  1, Batch    208, Loss  0.647763, Average Loss  0.720687, Time  0.461926
2021-09-07 03:05:01.909538 : Epoch  1, Batch    209, Loss  0.644089, Average Loss  0.718319, Time  0.462659
2021-09-07 03:05:03.799609 : Epoch  1, Batch    210, Loss  0.646736, Average Loss  0.716048, Time  0.461280
2021-09-07 03:05:05.695561 : Epoch  1, Batch    211, Loss  0.643696, Average Loss  0.713848, Time  0.462934
2021-09-07 03:05:07.587737 : Epoch  1, Batch    212, Loss  0.641175, Average Loss  0.711745, Time  0.462715
2021-09-07 03:05:09.457212 : Epoch  1, Batch    213, Loss  0.650747, Average Loss  0.709720, Time  0.461171
2021-09-07 03:05:11.336774 : Epoch  1, Batch    214, Loss  0.644461, Average Loss  0.707789, Time  0.461479
2021-09-07 03:05:13.220120 : Epoch  1, Batch    215, Loss  0.643991, Average Loss  0.705889, Time  0.461619
2021-09-07 03:05:15.089455 : Epoch  1, Batch    216, Loss  0.635006, Average Loss  0.704005, Time  0.461552
2021-09-07 03:05:16.977432 : Epoch  1, Batch    217, Loss  0.642523, Average Loss  0.702200, Time  0.461944
2021-09-07 03:05:18.859774 : Epoch  1, Batch    218, Loss  0.651430, Average Loss  0.700517, Time  0.461361
2021-09-07 03:05:20.739757 : Epoch  1, Batch    219, Loss  0.646079, Average Loss  0.698827, Time  0.460783
2021-09-07 03:05:22.607439 : Epoch  1, Batch    220, Loss  0.644043, Average Loss  0.697155, Time  0.460937
2021-09-07 03:05:24.495503 : Epoch  1, Batch    221, Loss  0.639516, Average Loss  0.695490, Time  0.461733
2021-09-07 03:05:26.386806 : Epoch  1, Batch    222, Loss  0.651291, Average Loss  0.693933, Time  0.461831
2021-09-07 03:05:28.260802 : Epoch  1, Batch    223, Loss  0.652362, Average Loss  0.692382, Time  0.461587
2021-09-07 03:05:30.145667 : Epoch  1, Batch    224, Loss  0.644771, Average Loss  0.690785, Time  0.460561
2021-09-07 03:05:32.019185 : Epoch  1, Batch    225, Loss  0.642451, Average Loss  0.689214, Time  0.460827
2021-09-07 03:05:33.885769 : Epoch  1, Batch    226, Loss  0.652833, Average Loss  0.687733, Time  0.460403
2021-09-07 03:05:35.776758 : Epoch  1, Batch    227, Loss  0.643170, Average Loss  0.686188, Time  0.460345
2021-09-07 03:05:37.643067 : Epoch  1, Batch    228, Loss  0.643291, Average Loss  0.684670, Time  0.461255
2021-09-07 03:05:39.513869 : Epoch  1, Batch    229, Loss  0.643983, Average Loss  0.683163, Time  0.460994
2021-09-07 03:05:41.405959 : Epoch  1, Batch    230, Loss  0.641731, Average Loss  0.681676, Time  0.461581
2021-09-07 03:05:43.289000 : Epoch  1, Batch    231, Loss  0.646567, Average Loss  0.680251, Time  0.462751
2021-09-07 03:05:45.184964 : Epoch  1, Batch    232, Loss  0.649193, Average Loss  0.678806, Time  0.461242
2021-09-07 03:05:47.104817 : Epoch  1, Batch    233, Loss  0.629958, Average Loss  0.677245, Time  0.461737
2021-09-07 03:05:48.994572 : Epoch  1, Batch    234, Loss  0.646192, Average Loss  0.675835, Time  0.460403
2021-09-07 03:05:50.872243 : Epoch  1, Batch    235, Loss  0.643972, Average Loss  0.674414, Time  0.460503
2021-09-07 03:05:52.741873 : Epoch  1, Batch    236, Loss  0.645070, Average Loss  0.673014, Time  0.461099
2021-09-07 03:05:54.640525 : Epoch  1, Batch    237, Loss  0.636245, Average Loss  0.671605, Time  0.462196
2021-09-07 03:05:56.533189 : Epoch  1, Batch    238, Loss  0.638351, Average Loss  0.670226, Time  0.461790
2021-09-07 03:05:58.427562 : Epoch  1, Batch    239, Loss  0.649208, Average Loss  0.668898, Time  0.461880
2021-09-07 03:06:00.322208 : Epoch  1, Batch    240, Loss  0.646349, Average Loss  0.667598, Time  0.461647
2021-09-07 03:06:02.196158 : Epoch  1, Batch    241, Loss  0.638938, Average Loss  0.666307, Time  0.461341
2021-09-07 03:06:04.080725 : Epoch  1, Batch    242, Loss  0.634624, Average Loss  0.665036, Time  0.461597
2021-09-07 03:06:05.951705 : Epoch  1, Batch    243, Loss  0.647330, Average Loss  0.663819, Time  0.460669
2021-09-07 03:06:07.821790 : Epoch  1, Batch    244, Loss  0.640974, Average Loss  0.662662, Time  0.461158
2021-09-07 03:06:09.711202 : Epoch  1, Batch    245, Loss  0.633198, Average Loss  0.661514, Time  0.461179
2021-09-07 03:06:11.610223 : Epoch  1, Batch    246, Loss  0.648051, Average Loss  0.660495, Time  0.460774
2021-09-07 03:06:13.495666 : Epoch  1, Batch    247, Loss  0.641752, Average Loss  0.659523, Time  0.461622
2021-09-07 03:06:15.364377 : Epoch  1, Batch    248, Loss  0.640108, Average Loss  0.658557, Time  0.460764
2021-09-07 03:06:17.247777 : Epoch  1, Batch    249, Loss  0.644657, Average Loss  0.657661, Time  0.461052
2021-09-07 03:06:19.120778 : Epoch  1, Batch    250, Loss  0.643788, Average Loss  0.656797, Time  0.460804
2021-09-07 03:06:20.996108 : Epoch  1, Batch    251, Loss  0.640450, Average Loss  0.655889, Time  0.460958
2021-09-07 03:06:22.877174 : Epoch  1, Batch    252, Loss  0.646303, Average Loss  0.655012, Time  0.461539
2021-09-07 03:06:24.760389 : Epoch  1, Batch    253, Loss  0.635549, Average Loss  0.654090, Time  0.460703
2021-09-07 03:06:26.644054 : Epoch  1, Batch    254, Loss  0.642524, Average Loss  0.653199, Time  0.460923
2021-09-07 03:06:28.510571 : Epoch  1, Batch    255, Loss  0.644712, Average Loss  0.652300, Time  0.460553
2021-09-07 03:06:30.378467 : Epoch  1, Batch    256, Loss  0.652179, Average Loss  0.651509, Time  0.461740
2021-09-07 03:06:32.253459 : Epoch  1, Batch    257, Loss  0.642708, Average Loss  0.650703, Time  0.460865
2021-09-07 03:06:34.130484 : Epoch  1, Batch    258, Loss  0.646264, Average Loss  0.649932, Time  0.460879
2021-09-07 03:06:36.015667 : Epoch  1, Batch    259, Loss  0.644488, Average Loss  0.649216, Time  0.462081
2021-09-07 03:06:37.896765 : Epoch  1, Batch    260, Loss  0.645073, Average Loss  0.648668, Time  0.461274
2021-09-07 03:06:39.772360 : Epoch  1, Batch    261, Loss  0.637420, Average Loss  0.648065, Time  0.461081
2021-09-07 03:06:41.655456 : Epoch  1, Batch    262, Loss  0.642588, Average Loss  0.647521, Time  0.461434
2021-09-07 03:06:43.546630 : Epoch  1, Batch    263, Loss  0.640967, Average Loss  0.647013, Time  0.463018
2021-09-07 03:06:45.418996 : Epoch  1, Batch    264, Loss  0.641680, Average Loss  0.646670, Time  0.461267
2021-09-07 03:06:47.289356 : Epoch  1, Batch    265, Loss  0.639411, Average Loss  0.646343, Time  0.461469
2021-09-07 03:06:49.183386 : Epoch  1, Batch    266, Loss  0.635981, Average Loss  0.646051, Time  0.461877
2021-09-07 03:06:51.051304 : Epoch  1, Batch    267, Loss  0.654903, Average Loss  0.645896, Time  0.461373
2021-09-07 03:06:52.956537 : Epoch  1, Batch    268, Loss  0.640516, Average Loss  0.645697, Time  0.463290
2021-09-07 03:06:54.840700 : Epoch  1, Batch    269, Loss  0.646797, Average Loss  0.645579, Time  0.462055
2021-09-07 03:06:56.732210 : Epoch  1, Batch    270, Loss  0.635659, Average Loss  0.645453, Time  0.461742
2021-09-07 03:07:00.663761 : Epoch  1, Batch    271, Loss  0.649198, Average Loss  0.645312, Time  0.474297
2021-09-07 03:07:02.540798 : Epoch  1, Batch    272, Loss  0.652058, Average Loss  0.645195, Time  0.461108
2021-09-07 03:07:04.408205 : Epoch  1, Batch    273, Loss  0.643697, Average Loss  0.645059, Time  0.460776
2021-09-07 03:07:06.277732 : Epoch  1, Batch    274, Loss  0.643351, Average Loss  0.644929, Time  0.461034
2021-09-07 03:07:08.159270 : Epoch  1, Batch    275, Loss  0.636765, Average Loss  0.644798, Time  0.461540
2021-09-07 03:07:10.022703 : Epoch  1, Batch    276, Loss  0.649295, Average Loss  0.644764, Time  0.461490
2021-09-07 03:07:11.901685 : Epoch  1, Batch    277, Loss  0.641006, Average Loss  0.644711, Time  0.460625
2021-09-07 03:07:13.781322 : Epoch  1, Batch    278, Loss  0.646097, Average Loss  0.644692, Time  0.461324
2021-09-07 03:07:15.641415 : Epoch  1, Batch    279, Loss  0.642095, Average Loss  0.644630, Time  0.461050
2021-09-07 03:07:17.549111 : Epoch  1, Batch    280, Loss  0.638684, Average Loss  0.644569, Time  0.461384
2021-09-07 03:07:19.432231 : Epoch  1, Batch    281, Loss  0.640771, Average Loss  0.644473, Time  0.462763
2021-09-07 03:07:21.323682 : Epoch  1, Batch    282, Loss  0.634291, Average Loss  0.644349, Time  0.461204
2021-09-07 03:07:23.193186 : Epoch  1, Batch    283, Loss  0.637591, Average Loss  0.644317, Time  0.461833
2021-09-07 03:07:25.082392 : Epoch  1, Batch    284, Loss  0.641790, Average Loss  0.644295, Time  0.461602
2021-09-07 03:07:26.968042 : Epoch  1, Batch    285, Loss  0.643747, Average Loss  0.644263, Time  0.462262
2021-09-07 03:07:28.842687 : Epoch  1, Batch    286, Loss  0.647273, Average Loss  0.644248, Time  0.463092
2021-09-07 03:07:30.717914 : Epoch  1, Batch    287, Loss  0.642834, Average Loss  0.644253, Time  0.460288
2021-09-07 03:07:32.587186 : Epoch  1, Batch    288, Loss  0.639376, Average Loss  0.644168, Time  0.460780
2021-09-07 03:07:34.480080 : Epoch  1, Batch    289, Loss  0.638205, Average Loss  0.644151, Time  0.461662
2021-09-07 03:07:36.363206 : Epoch  1, Batch    290, Loss  0.644269, Average Loss  0.644095, Time  0.461854
2021-09-07 03:07:38.233564 : Epoch  1, Batch    291, Loss  0.641638, Average Loss  0.644091, Time  0.461893
2021-09-07 03:07:40.107426 : Epoch  1, Batch    292, Loss  0.636680, Average Loss  0.644048, Time  0.461575
2021-09-07 03:07:42.000764 : Epoch  1, Batch    293, Loss  0.644697, Average Loss  0.643997, Time  0.461979
2021-09-07 03:07:43.899505 : Epoch  1, Batch    294, Loss  0.633018, Average Loss  0.643902, Time  0.461309
2021-09-07 03:07:45.789851 : Epoch  1, Batch    295, Loss  0.644647, Average Loss  0.643924, Time  0.461236
2021-09-07 03:07:47.656263 : Epoch  1, Batch    296, Loss  0.639086, Average Loss  0.643897, Time  0.460951
2021-09-07 03:07:49.524668 : Epoch  1, Batch    297, Loss  0.647750, Average Loss  0.643864, Time  0.461365
2021-09-07 03:07:51.403953 : Epoch  1, Batch    298, Loss  0.646219, Average Loss  0.643901, Time  0.465433
2021-09-07 03:07:53.266772 : Epoch  1, Batch    299, Loss  0.647583, Average Loss  0.643880, Time  0.462019
2021-09-07 03:07:55.129740 : Epoch  1, Batch    300, Loss  0.647251, Average Loss  0.643877, Time  0.462110
2021-09-07 03:08:59.253398 : CheckPoint: Validation Loss  0.00027033, Best Loss  0.00026035
2021-09-07 03:09:01.148429 : Epoch  1, Batch    301, Loss  0.632266, Average Loss  0.643810, Time  0.461443
2021-09-07 03:09:03.026007 : Epoch  1, Batch    302, Loss  0.637899, Average Loss  0.643775, Time  0.460940
2021-09-07 03:09:04.884772 : Epoch  1, Batch    303, Loss  0.633223, Average Loss  0.643651, Time  0.460257
2021-09-07 03:09:06.744456 : Epoch  1, Batch    304, Loss  0.655305, Average Loss  0.643716, Time  0.460697
2021-09-07 03:09:08.609255 : Epoch  1, Batch    305, Loss  0.641954, Average Loss  0.643686, Time  0.460771
2021-09-07 03:09:10.476775 : Epoch  1, Batch    306, Loss  0.650441, Average Loss  0.643695, Time  0.460432
2021-09-07 03:09:12.343324 : Epoch  1, Batch    307, Loss  0.657430, Average Loss  0.643767, Time  0.460629
2021-09-07 03:09:14.205974 : Epoch  1, Batch    308, Loss  0.646131, Average Loss  0.643776, Time  0.462488
2021-09-07 03:09:16.096326 : Epoch  1, Batch    309, Loss  0.645379, Average Loss  0.643789, Time  0.462009
2021-09-07 03:09:17.968093 : Epoch  1, Batch    310, Loss  0.642423, Average Loss  0.643778, Time  0.461029
2021-09-07 03:09:19.847412 : Epoch  1, Batch    311, Loss  0.642133, Average Loss  0.643820, Time  0.461932
2021-09-07 03:09:21.709966 : Epoch  1, Batch    312, Loss  0.643652, Average Loss  0.643796, Time  0.461671
2021-09-07 03:09:23.595526 : Epoch  1, Batch    313, Loss  0.645882, Average Loss  0.643752, Time  0.462249
2021-09-07 03:09:25.465007 : Epoch  1, Batch    314, Loss  0.649920, Average Loss  0.643766, Time  0.461613
2021-09-07 03:09:27.334374 : Epoch  1, Batch    315, Loss  0.645070, Average Loss  0.643719, Time  0.461644
2021-09-07 03:09:29.214248 : Epoch  1, Batch    316, Loss  0.647674, Average Loss  0.643735, Time  0.461810
2021-09-07 03:09:31.091140 : Epoch  1, Batch    317, Loss  0.647036, Average Loss  0.643782, Time  0.460998
2021-09-07 03:09:32.962096 : Epoch  1, Batch    318, Loss  0.652846, Average Loss  0.643823, Time  0.462020
2021-09-07 03:09:34.826715 : Epoch  1, Batch    319, Loss  0.646463, Average Loss  0.643821, Time  0.460867
2021-09-07 03:09:36.693495 : Epoch  1, Batch    320, Loss  0.637122, Average Loss  0.643795, Time  0.461898
2021-09-07 03:09:38.572943 : Epoch  1, Batch    321, Loss  0.635950, Average Loss  0.643728, Time  0.460793
2021-09-07 03:09:40.439240 : Epoch  1, Batch    322, Loss  0.646147, Average Loss  0.643793, Time  0.462217
2021-09-07 03:09:42.310458 : Epoch  1, Batch    323, Loss  0.633257, Average Loss  0.643736, Time  0.461504
2021-09-07 03:09:44.179029 : Epoch  1, Batch    324, Loss  0.639838, Average Loss  0.643683, Time  0.460820
2021-09-07 03:09:46.048961 : Epoch  1, Batch    325, Loss  0.643346, Average Loss  0.643673, Time  0.461288
2021-09-07 03:09:47.910350 : Epoch  1, Batch    326, Loss  0.631839, Average Loss  0.643528, Time  0.461180
2021-09-07 03:09:49.778120 : Epoch  1, Batch    327, Loss  0.634413, Average Loss  0.643496, Time  0.461991
2021-09-07 03:09:51.637065 : Epoch  1, Batch    328, Loss  0.633635, Average Loss  0.643401, Time  0.460651
2021-09-07 03:09:53.524353 : Epoch  1, Batch    329, Loss  0.644644, Average Loss  0.643367, Time  0.462033
2021-09-07 03:09:55.402355 : Epoch  1, Batch    330, Loss  0.643037, Average Loss  0.643373, Time  0.461718
2021-09-07 03:09:57.285639 : Epoch  1, Batch    331, Loss  0.635926, Average Loss  0.643328, Time  0.461384
2021-09-07 03:09:59.153905 : Epoch  1, Batch    332, Loss  0.642241, Average Loss  0.643294, Time  0.461297
2021-09-07 03:10:01.030413 : Epoch  1, Batch    333, Loss  0.642309, Average Loss  0.643321, Time  0.461339
2021-09-07 03:10:02.903751 : Epoch  1, Batch    334, Loss  0.634674, Average Loss  0.643286, Time  0.461011
2021-09-07 03:10:04.787970 : Epoch  1, Batch    335, Loss  0.640939, Average Loss  0.643218, Time  0.461496
2021-09-07 03:10:06.648634 : Epoch  1, Batch    336, Loss  0.648284, Average Loss  0.643279, Time  0.460848
2021-09-07 03:10:08.519527 : Epoch  1, Batch    337, Loss  0.630965, Average Loss  0.643205, Time  0.461426
2021-09-07 03:10:10.394254 : Epoch  1, Batch    338, Loss  0.637716, Average Loss  0.643196, Time  0.460393
2021-09-07 03:10:12.254361 : Epoch  1, Batch    339, Loss  0.636234, Average Loss  0.643163, Time  0.461055
2021-09-07 03:10:14.123273 : Epoch  1, Batch    340, Loss  0.636313, Average Loss  0.643126, Time  0.461072
2021-09-07 03:10:16.001736 : Epoch  1, Batch    341, Loss  0.637930, Average Loss  0.643045, Time  0.461050
2021-09-07 03:10:17.885514 : Epoch  1, Batch    342, Loss  0.636370, Average Loss  0.643019, Time  0.461402
2021-09-07 03:10:19.764780 : Epoch  1, Batch    343, Loss  0.635754, Average Loss  0.643023, Time  0.461069
2021-09-07 03:10:21.643865 : Epoch  1, Batch    344, Loss  0.636211, Average Loss  0.642954, Time  0.460935
2021-09-07 03:10:23.506892 : Epoch  1, Batch    345, Loss  0.642471, Average Loss  0.642948, Time  0.461030
2021-09-07 03:10:25.367507 : Epoch  1, Batch    346, Loss  0.642466, Average Loss  0.642911, Time  0.461601
2021-09-07 03:10:27.234581 : Epoch  1, Batch    347, Loss  0.641611, Average Loss  0.642866, Time  0.461246
2021-09-07 03:10:29.098388 : Epoch  1, Batch    348, Loss  0.641168, Average Loss  0.642858, Time  0.461212
2021-09-07 03:10:30.984148 : Epoch  1, Batch    349, Loss  0.638050, Average Loss  0.642797, Time  0.463515
2021-09-07 03:10:32.866881 : Epoch  1, Batch    350, Loss  0.642802, Average Loss  0.642752, Time  0.461592
2021-09-07 03:10:34.750482 : Epoch  1, Batch    351, Loss  0.645637, Average Loss  0.642770, Time  0.462626
2021-09-07 03:10:36.637145 : Epoch  1, Batch    352, Loss  0.644464, Average Loss  0.642731, Time  0.463754
2021-09-07 03:10:38.532504 : Epoch  1, Batch    353, Loss  0.645919, Average Loss  0.642695, Time  0.462971
2021-09-07 03:10:40.399996 : Epoch  1, Batch    354, Loss  0.640396, Average Loss  0.642693, Time  0.462151
2021-09-07 03:10:42.274806 : Epoch  1, Batch    355, Loss  0.644492, Average Loss  0.642687, Time  0.461920
2021-09-07 03:10:44.158840 : Epoch  1, Batch    356, Loss  0.639433, Average Loss  0.642653, Time  0.460796
2021-09-07 03:10:46.038177 : Epoch  1, Batch    357, Loss  0.652871, Average Loss  0.642708, Time  0.461862
2021-09-07 03:10:47.920029 : Epoch  1, Batch    358, Loss  0.652328, Average Loss  0.642748, Time  0.461987
2021-09-07 03:10:49.793514 : Epoch  1, Batch    359, Loss  0.634752, Average Loss  0.642688, Time  0.460935
2021-09-07 03:10:51.655368 : Epoch  1, Batch    360, Loss  0.649599, Average Loss  0.642714, Time  0.460570
2021-09-07 03:10:53.543790 : Epoch  1, Batch    361, Loss  0.634968, Average Loss  0.642691, Time  0.460304
2021-09-07 03:10:55.404692 : Epoch  1, Batch    362, Loss  0.638672, Average Loss  0.642657, Time  0.461060
2021-09-07 03:10:57.268558 : Epoch  1, Batch    363, Loss  0.641239, Average Loss  0.642647, Time  0.461968
2021-09-07 03:10:59.148188 : Epoch  1, Batch    364, Loss  0.647301, Average Loss  0.643220, Time  0.461454
2021-09-07 03:11:01.018783 : Epoch  1, Batch    365, Loss  0.635349, Average Loss  0.643167, Time  0.461689
2021-09-07 03:11:02.902561 : Epoch  1, Batch    366, Loss  0.636885, Average Loss  0.643027, Time  0.462276
2021-09-07 03:11:04.781141 : Epoch  1, Batch    367, Loss  0.638370, Average Loss  0.642884, Time  0.461205
2021-09-07 03:11:06.642459 : Epoch  1, Batch    368, Loss  0.637662, Average Loss  0.642812, Time  0.461047
2021-09-07 03:11:08.514184 : Epoch  1, Batch    369, Loss  0.646613, Average Loss  0.642774, Time  0.461189
2021-09-07 03:11:10.389149 : Epoch  1, Batch    370, Loss  0.642915, Average Loss  0.642794, Time  0.460906
2021-09-07 03:11:14.359614 : Epoch  1, Batch    371, Loss  0.628527, Average Loss  0.642791, Time  0.473449
2021-09-07 03:11:16.233469 : Epoch  1, Batch    372, Loss  0.637166, Average Loss  0.642703, Time  0.461551
2021-09-07 03:11:18.108150 : Epoch  1, Batch    373, Loss  0.642451, Average Loss  0.642633, Time  0.462262
2021-09-07 03:11:19.998471 : Epoch  1, Batch    374, Loss  0.640527, Average Loss  0.642585, Time  0.461819
2021-09-07 03:11:21.873984 : Epoch  1, Batch    375, Loss  0.645084, Average Loss  0.642569, Time  0.461147
2021-09-07 03:11:23.737132 : Epoch  1, Batch    376, Loss  0.648880, Average Loss  0.642588, Time  0.461973
2021-09-07 03:11:25.613224 : Epoch  1, Batch    377, Loss  0.639803, Average Loss  0.642573, Time  0.461608
2021-09-07 03:11:27.488644 : Epoch  1, Batch    378, Loss  0.639787, Average Loss  0.642518, Time  0.461361
2021-09-07 03:11:29.367127 : Epoch  1, Batch    379, Loss  0.638899, Average Loss  0.642539, Time  0.461931
2021-09-07 03:11:31.240402 : Epoch  1, Batch    380, Loss  0.639902, Average Loss  0.642518, Time  0.461207
2021-09-07 03:11:33.102929 : Epoch  1, Batch    381, Loss  0.647383, Average Loss  0.642526, Time  0.460966
2021-09-07 03:11:34.975497 : Epoch  1, Batch    382, Loss  0.640522, Average Loss  0.642460, Time  0.462176
2021-09-07 03:11:36.863954 : Epoch  1, Batch    383, Loss  0.646138, Average Loss  0.642479, Time  0.461192
2021-09-07 03:11:38.722823 : Epoch  1, Batch    384, Loss  0.649142, Average Loss  0.642503, Time  0.461198
2021-09-07 03:11:40.599726 : Epoch  1, Batch    385, Loss  0.634674, Average Loss  0.642492, Time  0.461335
2021-09-07 03:11:42.480966 : Epoch  1, Batch    386, Loss  0.633383, Average Loss  0.642447, Time  0.461587
2021-09-07 03:11:44.370655 : Epoch  1, Batch    387, Loss  0.641726, Average Loss  0.642412, Time  0.462274
2021-09-07 03:11:46.251569 : Epoch  1, Batch    388, Loss  0.637806, Average Loss  0.642379, Time  0.461934
2021-09-07 03:11:48.132133 : Epoch  1, Batch    389, Loss  0.634510, Average Loss  0.642356, Time  0.460937
2021-09-07 03:11:50.003704 : Epoch  1, Batch    390, Loss  0.647543, Average Loss  0.642362, Time  0.462621
2021-09-07 03:11:51.877894 : Epoch  1, Batch    391, Loss  0.652220, Average Loss  0.642393, Time  0.460730
2021-09-07 03:11:53.729303 : Epoch  1, Batch    392, Loss  0.636288, Average Loss  0.642328, Time  0.462436
2021-09-07 03:11:55.589051 : Epoch  1, Batch    393, Loss  0.647183, Average Loss  0.642374, Time  0.461020
2021-09-07 03:11:57.462618 : Epoch  1, Batch    394, Loss  0.636592, Average Loss  0.642305, Time  0.461485
2021-09-07 03:11:59.340496 : Epoch  1, Batch    395, Loss  0.645713, Average Loss  0.642284, Time  0.461188
2021-09-07 03:12:01.223106 : Epoch  1, Batch    396, Loss  0.633325, Average Loss  0.642285, Time  0.461374
2021-09-07 03:12:03.105480 : Epoch  1, Batch    397, Loss  0.638065, Average Loss  0.642291, Time  0.461328
2021-09-07 03:12:04.974550 : Epoch  1, Batch    398, Loss  0.634251, Average Loss  0.642252, Time  0.462042
2021-09-07 03:12:06.852652 : Epoch  1, Batch    399, Loss  0.644031, Average Loss  0.642252, Time  0.462163
2021-09-07 03:12:08.711721 : Epoch  1, Batch    400, Loss  0.636008, Average Loss  0.642266, Time  0.461323
2021-09-07 03:13:12.653857 : CheckPoint: Validation Loss  0.00026846, Best Loss  0.00026035
2021-09-07 03:13:14.563830 : Epoch  1, Batch    401, Loss  0.641866, Average Loss  0.642287, Time  0.462319
2021-09-07 03:13:16.430570 : Epoch  1, Batch    402, Loss  0.643211, Average Loss  0.642280, Time  0.460432
2021-09-07 03:13:18.313302 : Epoch  1, Batch    403, Loss  0.637345, Average Loss  0.642229, Time  0.461829
2021-09-07 03:13:20.189339 : Epoch  1, Batch    404, Loss  0.643307, Average Loss  0.642197, Time  0.461659
2021-09-07 03:13:22.057113 : Epoch  1, Batch    405, Loss  0.646406, Average Loss  0.642242, Time  0.460956
2021-09-07 03:13:23.933412 : Epoch  1, Batch    406, Loss  0.638120, Average Loss  0.642227, Time  0.461586
2021-09-07 03:13:25.818747 : Epoch  1, Batch    407, Loss  0.642420, Average Loss  0.642228, Time  0.461934
2021-09-07 03:13:27.705955 : Epoch  1, Batch    408, Loss  0.646817, Average Loss  0.642224, Time  0.461880
2021-09-07 03:13:29.584343 : Epoch  1, Batch    409, Loss  0.639864, Average Loss  0.642202, Time  0.461372
2021-09-07 03:13:31.468854 : Epoch  1, Batch    410, Loss  0.633081, Average Loss  0.642134, Time  0.461539
2021-09-07 03:13:33.331541 : Epoch  1, Batch    411, Loss  0.641084, Average Loss  0.642121, Time  0.461223
2021-09-07 03:13:35.203603 : Epoch  1, Batch    412, Loss  0.625309, Average Loss  0.642042, Time  0.462263
2021-09-07 03:13:37.066762 : Epoch  1, Batch    413, Loss  0.635822, Average Loss  0.641967, Time  0.460563
2021-09-07 03:13:38.934360 : Epoch  1, Batch    414, Loss  0.645712, Average Loss  0.641973, Time  0.461088
2021-09-07 03:13:40.799321 : Epoch  1, Batch    415, Loss  0.639392, Average Loss  0.641950, Time  0.460299
2021-09-07 03:13:42.665063 : Epoch  1, Batch    416, Loss  0.645516, Average Loss  0.642003, Time  0.460750
2021-09-07 03:13:44.531531 : Epoch  1, Batch    417, Loss  0.642923, Average Loss  0.642005, Time  0.462319
2021-09-07 03:13:46.395142 : Epoch  1, Batch    418, Loss  0.651700, Average Loss  0.642006, Time  0.461568
2021-09-07 03:13:48.264707 : Epoch  1, Batch    419, Loss  0.646829, Average Loss  0.642010, Time  0.461904
2021-09-07 03:13:50.172729 : Epoch  1, Batch    420, Loss  0.638938, Average Loss  0.641985, Time  0.462734
2021-09-07 03:13:52.094784 : Epoch  1, Batch    421, Loss  0.636620, Average Loss  0.641970, Time  0.462970
2021-09-07 03:13:53.999433 : Epoch  1, Batch    422, Loss  0.639254, Average Loss  0.641910, Time  0.461927
2021-09-07 03:13:55.889537 : Epoch  1, Batch    423, Loss  0.649305, Average Loss  0.641895, Time  0.464212
2021-09-07 03:13:57.751255 : Epoch  1, Batch    424, Loss  0.644432, Average Loss  0.641893, Time  0.460500
2021-09-07 03:13:59.635023 : Epoch  1, Batch    425, Loss  0.636964, Average Loss  0.641865, Time  0.460787
2021-09-07 03:14:01.502759 : Epoch  1, Batch    426, Loss  0.639926, Average Loss  0.641801, Time  0.461232
2021-09-07 03:14:03.374854 : Epoch  1, Batch    427, Loss  0.636714, Average Loss  0.641769, Time  0.461138
2021-09-07 03:14:05.247766 : Epoch  1, Batch    428, Loss  0.645991, Average Loss  0.641782, Time  0.462522
2021-09-07 03:14:07.125836 : Epoch  1, Batch    429, Loss  0.639382, Average Loss  0.641759, Time  0.460798
2021-09-07 03:14:09.009197 : Epoch  1, Batch    430, Loss  0.645615, Average Loss  0.641779, Time  0.463330
2021-09-07 03:14:10.956752 : Epoch  1, Batch    431, Loss  0.635598, Average Loss  0.641724, Time  0.464052
2021-09-07 03:14:12.827866 : Epoch  1, Batch    432, Loss  0.640020, Average Loss  0.641678, Time  0.462051
2021-09-07 03:14:14.703224 : Epoch  1, Batch    433, Loss  0.635771, Average Loss  0.641707, Time  0.460971
2021-09-07 03:14:16.586469 : Epoch  1, Batch    434, Loss  0.646572, Average Loss  0.641709, Time  0.461530
2021-09-07 03:14:18.474638 : Epoch  1, Batch    435, Loss  0.640385, Average Loss  0.641691, Time  0.462345
2021-09-07 03:14:20.366797 : Epoch  1, Batch    436, Loss  0.637700, Average Loss  0.641654, Time  0.462081
2021-09-07 03:14:22.237373 : Epoch  1, Batch    437, Loss  0.642125, Average Loss  0.641683, Time  0.461458
2021-09-07 03:14:24.119041 : Epoch  1, Batch    438, Loss  0.646045, Average Loss  0.641722, Time  0.460872
2021-09-07 03:14:25.986745 : Epoch  1, Batch    439, Loss  0.633089, Average Loss  0.641641, Time  0.460708
2021-09-07 03:14:27.862407 : Epoch  1, Batch    440, Loss  0.636266, Average Loss  0.641591, Time  0.461299
2021-09-07 03:14:29.740617 : Epoch  1, Batch    441, Loss  0.642801, Average Loss  0.641610, Time  0.460535
2021-09-07 03:14:31.615740 : Epoch  1, Batch    442, Loss  0.639123, Average Loss  0.641633, Time  0.461788
2021-09-07 03:14:33.503283 : Epoch  1, Batch    443, Loss  0.641911, Average Loss  0.641606, Time  0.461718
2021-09-07 03:14:35.388652 : Epoch  1, Batch    444, Loss  0.642642, Average Loss  0.641614, Time  0.460959
2021-09-07 03:14:37.254072 : Epoch  1, Batch    445, Loss  0.631210, Average Loss  0.641604, Time  0.460742
2021-09-07 03:14:39.111121 : Epoch  1, Batch    446, Loss  0.645046, Average Loss  0.641589, Time  0.461109
2021-09-07 03:14:40.976799 : Epoch  1, Batch    447, Loss  0.654756, Average Loss  0.641654, Time  0.460509
2021-09-07 03:14:42.839435 : Epoch  1, Batch    448, Loss  0.646664, Average Loss  0.641687, Time  0.461890
2021-09-07 03:14:44.720511 : Epoch  1, Batch    449, Loss  0.642707, Average Loss  0.641677, Time  0.461093
2021-09-07 03:14:46.583380 : Epoch  1, Batch    450, Loss  0.636503, Average Loss  0.641641, Time  0.461075
2021-09-07 03:14:48.451754 : Epoch  1, Batch    451, Loss  0.642656, Average Loss  0.641652, Time  0.461079
2021-09-07 03:14:50.319230 : Epoch  1, Batch    452, Loss  0.642977, Average Loss  0.641635, Time  0.463571
2021-09-07 03:14:52.184233 : Epoch  1, Batch    453, Loss  0.640593, Average Loss  0.641660, Time  0.461193
2021-09-07 03:14:54.052280 : Epoch  1, Batch    454, Loss  0.639330, Average Loss  0.641644, Time  0.461472
2021-09-07 03:14:55.928853 : Epoch  1, Batch    455, Loss  0.644259, Average Loss  0.641642, Time  0.461142
2021-09-07 03:14:57.796305 : Epoch  1, Batch    456, Loss  0.628390, Average Loss  0.641523, Time  0.460574
2021-09-07 03:14:59.668103 : Epoch  1, Batch    457, Loss  0.636943, Average Loss  0.641494, Time  0.461848
2021-09-07 03:15:01.550739 : Epoch  1, Batch    458, Loss  0.639127, Average Loss  0.641459, Time  0.461889
2021-09-07 03:15:03.415964 : Epoch  1, Batch    459, Loss  0.637048, Average Loss  0.641421, Time  0.461365
2021-09-07 03:15:05.299979 : Epoch  1, Batch    460, Loss  0.648250, Average Loss  0.641437, Time  0.461997
2021-09-07 03:15:07.177976 : Epoch  1, Batch    461, Loss  0.648405, Average Loss  0.641492, Time  0.461354
2021-09-07 03:15:09.055711 : Epoch  1, Batch    462, Loss  0.638957, Average Loss  0.641474, Time  0.461438
2021-09-07 03:15:10.934127 : Epoch  1, Batch    463, Loss  0.641018, Average Loss  0.641474, Time  0.461154
2021-09-07 03:15:12.816228 : Epoch  1, Batch    464, Loss  0.650277, Average Loss  0.641517, Time  0.461413
2021-09-07 03:15:14.703069 : Epoch  1, Batch    465, Loss  0.637476, Average Loss  0.641508, Time  0.461889
2021-09-07 03:15:16.574145 : Epoch  1, Batch    466, Loss  0.638071, Average Loss  0.641518, Time  0.460980
2021-09-07 03:15:18.441306 : Epoch  1, Batch    467, Loss  0.640965, Average Loss  0.641448, Time  0.461409
2021-09-07 03:15:20.311283 : Epoch  1, Batch    468, Loss  0.651681, Average Loss  0.641504, Time  0.461520
2021-09-07 03:15:22.177334 : Epoch  1, Batch    469, Loss  0.642598, Average Loss  0.641483, Time  0.461563
2021-09-07 03:15:24.036857 : Epoch  1, Batch    470, Loss  0.638242, Average Loss  0.641496, Time  0.462006
2021-09-07 03:15:28.006811 : Epoch  1, Batch    471, Loss  0.634778, Average Loss  0.641424, Time  0.475071
2021-09-07 03:15:29.892432 : Epoch  1, Batch    472, Loss  0.642272, Average Loss  0.641375, Time  0.461888
2021-09-07 03:15:31.764994 : Epoch  1, Batch    473, Loss  0.632313, Average Loss  0.641318, Time  0.461652
2021-09-07 03:15:33.648484 : Epoch  1, Batch    474, Loss  0.636198, Average Loss  0.641282, Time  0.461454
2021-09-07 03:15:35.521895 : Epoch  1, Batch    475, Loss  0.645479, Average Loss  0.641326, Time  0.460567
2021-09-07 03:15:37.392045 : Epoch  1, Batch    476, Loss  0.635821, Average Loss  0.641259, Time  0.461492
2021-09-07 03:15:39.304998 : Epoch  1, Batch    477, Loss  0.642718, Average Loss  0.641267, Time  0.462808
2021-09-07 03:15:41.196206 : Epoch  1, Batch    478, Loss  0.633611, Average Loss  0.641205, Time  0.461145
2021-09-07 03:15:43.065056 : Epoch  1, Batch    479, Loss  0.641689, Average Loss  0.641203, Time  0.460435
2021-09-07 03:15:44.930424 : Epoch  1, Batch    480, Loss  0.635797, Average Loss  0.641188, Time  0.461232
2021-09-07 03:15:46.794836 : Epoch  1, Batch    481, Loss  0.635406, Average Loss  0.641161, Time  0.460975
2021-09-07 03:15:48.662176 : Epoch  1, Batch    482, Loss  0.639505, Average Loss  0.641187, Time  0.460725
2021-09-07 03:15:50.533924 : Epoch  1, Batch    483, Loss  0.651591, Average Loss  0.641257, Time  0.461730
2021-09-07 03:15:52.418413 : Epoch  1, Batch    484, Loss  0.642578, Average Loss  0.641261, Time  0.461764
2021-09-07 03:15:54.304378 : Epoch  1, Batch    485, Loss  0.633605, Average Loss  0.641211, Time  0.461169
2021-09-07 03:15:56.175935 : Epoch  1, Batch    486, Loss  0.637096, Average Loss  0.641160, Time  0.461728
2021-09-07 03:15:58.052885 : Epoch  1, Batch    487, Loss  0.645941, Average Loss  0.641175, Time  0.461912
2021-09-07 03:15:59.916833 : Epoch  1, Batch    488, Loss  0.648105, Average Loss  0.641219, Time  0.460677
2021-09-07 03:16:01.786294 : Epoch  1, Batch    489, Loss  0.640658, Average Loss  0.641231, Time  0.461129
2021-09-07 03:16:03.666795 : Epoch  1, Batch    490, Loss  0.634123, Average Loss  0.641180, Time  0.460811
2021-09-07 03:16:05.554037 : Epoch  1, Batch    491, Loss  0.642042, Average Loss  0.641183, Time  0.460503
2021-09-07 03:16:07.477790 : Epoch  1, Batch    492, Loss  0.641704, Average Loss  0.641208, Time  0.461497
2021-09-07 03:16:09.357172 : Epoch  1, Batch    493, Loss  0.649283, Average Loss  0.641231, Time  0.460643
2021-09-07 03:16:11.228659 : Epoch  1, Batch    494, Loss  0.639895, Average Loss  0.641265, Time  0.460748
2021-09-07 03:16:13.102317 : Epoch  1, Batch    495, Loss  0.640202, Average Loss  0.641243, Time  0.460824
2021-09-07 03:16:14.980114 : Epoch  1, Batch    496, Loss  0.632882, Average Loss  0.641212, Time  0.460710
2021-09-07 03:16:16.879952 : Epoch  1, Batch    497, Loss  0.636363, Average Loss  0.641155, Time  0.461429
2021-09-07 03:16:18.769161 : Epoch  1, Batch    498, Loss  0.636584, Average Loss  0.641107, Time  0.460793
2021-09-07 03:16:20.640179 : Epoch  1, Batch    499, Loss  0.651400, Average Loss  0.641126, Time  0.461019
2021-09-07 03:16:22.541214 : Epoch  1, Batch    500, Loss  0.642215, Average Loss  0.641101, Time  0.461775
2021-09-07 03:17:26.633638 : CheckPoint: Validation Loss  0.00027318, Best Loss  0.00026035
2021-09-07 03:17:28.510565 : Epoch  1, Batch    501, Loss  0.636159, Average Loss  0.641120, Time  0.461147
2021-09-07 03:17:30.372493 : Epoch  1, Batch    502, Loss  0.645285, Average Loss  0.641157, Time  0.460540
2021-09-07 03:17:32.250095 : Epoch  1, Batch    503, Loss  0.647057, Average Loss  0.641226, Time  0.461073
2021-09-07 03:17:34.125256 : Epoch  1, Batch    504, Loss  0.643249, Average Loss  0.641166, Time  0.460162
2021-09-07 03:17:35.987696 : Epoch  1, Batch    505, Loss  0.642063, Average Loss  0.641166, Time  0.460618
2021-09-07 03:17:37.869543 : Epoch  1, Batch    506, Loss  0.646880, Average Loss  0.641149, Time  0.460579
2021-09-07 03:17:39.737074 : Epoch  1, Batch    507, Loss  0.644080, Average Loss  0.641082, Time  0.460619
2021-09-07 03:17:41.603610 : Epoch  1, Batch    508, Loss  0.650810, Average Loss  0.641105, Time  0.460698
2021-09-07 03:17:43.478121 : Epoch  1, Batch    509, Loss  0.638914, Average Loss  0.641073, Time  0.460752
2021-09-07 03:17:45.362154 : Epoch  1, Batch    510, Loss  0.641173, Average Loss  0.641067, Time  0.461280
2021-09-07 03:17:47.228328 : Epoch  1, Batch    511, Loss  0.646825, Average Loss  0.641090, Time  0.460991
2021-09-07 03:17:49.116805 : Epoch  1, Batch    512, Loss  0.641978, Average Loss  0.641082, Time  0.461751
2021-09-07 03:17:50.989384 : Epoch  1, Batch    513, Loss  0.647790, Average Loss  0.641091, Time  0.462356
2021-09-07 03:17:52.878539 : Epoch  1, Batch    514, Loss  0.634707, Average Loss  0.641015, Time  0.462141
2021-09-07 03:17:54.772890 : Epoch  1, Batch    515, Loss  0.635210, Average Loss  0.640966, Time  0.460604
2021-09-07 03:17:56.633022 : Epoch  1, Batch    516, Loss  0.642643, Average Loss  0.640941, Time  0.461098
2021-09-07 03:17:58.507566 : Epoch  1, Batch    517, Loss  0.643429, Average Loss  0.640923, Time  0.460833
2021-09-07 03:18:00.402705 : Epoch  1, Batch    518, Loss  0.628623, Average Loss  0.640802, Time  0.461996
2021-09-07 03:18:02.287090 : Epoch  1, Batch    519, Loss  0.630578, Average Loss  0.640722, Time  0.464039
2021-09-07 03:18:04.175733 : Epoch  1, Batch    520, Loss  0.636357, Average Loss  0.640718, Time  0.461778
2021-09-07 03:18:06.057219 : Epoch  1, Batch    521, Loss  0.645706, Average Loss  0.640767, Time  0.462821
2021-09-07 03:18:07.940295 : Epoch  1, Batch    522, Loss  0.640892, Average Loss  0.640741, Time  0.461155
2021-09-07 03:18:09.821234 : Epoch  1, Batch    523, Loss  0.640125, Average Loss  0.640775, Time  0.461961
2021-09-07 03:18:11.710345 : Epoch  1, Batch    524, Loss  0.643544, Average Loss  0.640794, Time  0.461184
2021-09-07 03:18:13.572818 : Epoch  1, Batch    525, Loss  0.639223, Average Loss  0.640773, Time  0.461357
2021-09-07 03:18:15.458472 : Epoch  1, Batch    526, Loss  0.641530, Average Loss  0.640822, Time  0.461581
2021-09-07 03:18:17.343105 : Epoch  1, Batch    527, Loss  0.645091, Average Loss  0.640875, Time  0.461488
2021-09-07 03:18:19.213319 : Epoch  1, Batch    528, Loss  0.638504, Average Loss  0.640899, Time  0.461610
2021-09-07 03:18:21.087832 : Epoch  1, Batch    529, Loss  0.635784, Average Loss  0.640855, Time  0.461427
2021-09-07 03:18:22.966534 : Epoch  1, Batch    530, Loss  0.634890, Average Loss  0.640814, Time  0.460562
2021-09-07 03:18:24.826278 : Epoch  1, Batch    531, Loss  0.638121, Average Loss  0.640825, Time  0.462284
2021-09-07 03:18:26.690801 : Epoch  1, Batch    532, Loss  0.639405, Average Loss  0.640811, Time  0.460404
2021-09-07 03:18:28.556517 : Epoch  1, Batch    533, Loss  0.645769, Average Loss  0.640828, Time  0.460850
2021-09-07 03:18:30.420235 : Epoch  1, Batch    534, Loss  0.642102, Average Loss  0.640865, Time  0.461047
2021-09-07 03:18:32.275367 : Epoch  1, Batch    535, Loss  0.640921, Average Loss  0.640865, Time  0.461246
2021-09-07 03:18:34.172705 : Epoch  1, Batch    536, Loss  0.634703, Average Loss  0.640797, Time  0.460711
2021-09-07 03:18:36.045297 : Epoch  1, Batch    537, Loss  0.638016, Average Loss  0.640833, Time  0.462310
2021-09-07 03:18:37.928709 : Epoch  1, Batch    538, Loss  0.632874, Average Loss  0.640809, Time  0.461998
2021-09-07 03:18:39.814251 : Epoch  1, Batch    539, Loss  0.650863, Average Loss  0.640882, Time  0.461323
2021-09-07 03:18:41.679903 : Epoch  1, Batch    540, Loss  0.637945, Average Loss  0.640890, Time  0.460827
2021-09-07 03:18:43.549759 : Epoch  1, Batch    541, Loss  0.642562, Average Loss  0.640913, Time  0.460794
2021-09-07 03:18:45.412360 : Epoch  1, Batch    542, Loss  0.634245, Average Loss  0.640902, Time  0.461267
2021-09-07 03:18:47.275301 : Epoch  1, Batch    543, Loss  0.649543, Average Loss  0.640971, Time  0.461392
2021-09-07 03:18:49.160094 : Epoch  1, Batch    544, Loss  0.638297, Average Loss  0.640982, Time  0.461301
2021-09-07 03:18:51.038048 : Epoch  1, Batch    545, Loss  0.633164, Average Loss  0.640935, Time  0.460683
2021-09-07 03:18:52.907607 : Epoch  1, Batch    546, Loss  0.635016, Average Loss  0.640898, Time  0.462128
2021-09-07 03:18:54.767348 : Epoch  1, Batch    547, Loss  0.642615, Average Loss  0.640903, Time  0.460909
2021-09-07 03:18:56.657862 : Epoch  1, Batch    548, Loss  0.638652, Average Loss  0.640890, Time  0.461840
2021-09-07 03:18:58.545810 : Epoch  1, Batch    549, Loss  0.632865, Average Loss  0.640864, Time  0.461390
2021-09-07 03:19:00.433209 : Epoch  1, Batch    550, Loss  0.642959, Average Loss  0.640865, Time  0.463232
2021-09-07 03:19:02.311659 : Epoch  1, Batch    551, Loss  0.639702, Average Loss  0.640836, Time  0.461234
2021-09-07 03:19:04.175788 : Epoch  1, Batch    552, Loss  0.651774, Average Loss  0.640872, Time  0.460619
2021-09-07 03:19:06.044735 : Epoch  1, Batch    553, Loss  0.645864, Average Loss  0.640872, Time  0.461795
2021-09-07 03:19:07.920772 : Epoch  1, Batch    554, Loss  0.642940, Average Loss  0.640885, Time  0.460174
2021-09-07 03:19:09.786036 : Epoch  1, Batch    555, Loss  0.633148, Average Loss  0.640828, Time  0.461045
2021-09-07 03:19:11.645246 : Epoch  1, Batch    556, Loss  0.647629, Average Loss  0.640869, Time  0.461447
2021-09-07 03:19:13.530713 : Epoch  1, Batch    557, Loss  0.644079, Average Loss  0.640825, Time  0.461796
2021-09-07 03:19:15.411567 : Epoch  1, Batch    558, Loss  0.647034, Average Loss  0.640798, Time  0.461464
2021-09-07 03:19:17.287960 : Epoch  1, Batch    559, Loss  0.652959, Average Loss  0.640889, Time  0.460922
2021-09-07 03:19:19.154206 : Epoch  1, Batch    560, Loss  0.647831, Average Loss  0.640881, Time  0.460332
2021-09-07 03:19:21.013994 : Epoch  1, Batch    561, Loss  0.644776, Average Loss  0.640930, Time  0.460627
2021-09-07 03:19:22.877757 : Epoch  1, Batch    562, Loss  0.642143, Average Loss  0.640947, Time  0.460927
2021-09-07 03:19:24.759668 : Epoch  1, Batch    563, Loss  0.638842, Average Loss  0.640935, Time  0.460912
2021-09-07 03:19:26.637191 : Epoch  1, Batch    564, Loss  0.637323, Average Loss  0.640885, Time  0.461545
2021-09-07 03:19:28.503640 : Epoch  1, Batch    565, Loss  0.645139, Average Loss  0.640934, Time  0.461895
2021-09-07 03:19:30.368322 : Epoch  1, Batch    566, Loss  0.640888, Average Loss  0.640954, Time  0.461576
2021-09-07 03:19:32.240347 : Epoch  1, Batch    567, Loss  0.645265, Average Loss  0.640989, Time  0.463077
2021-09-07 03:19:34.116078 : Epoch  1, Batch    568, Loss  0.643793, Average Loss  0.641019, Time  0.461086
2021-09-07 03:19:35.974506 : Epoch  1, Batch    569, Loss  0.642935, Average Loss  0.641001, Time  0.460623
2021-09-07 03:19:37.849686 : Epoch  1, Batch    570, Loss  0.647785, Average Loss  0.641025, Time  0.462303
2021-09-07 03:19:41.812095 : Epoch  1, Batch    571, Loss  0.645706, Average Loss  0.641111, Time  0.477954
2021-09-07 03:19:43.693975 : Epoch  1, Batch    572, Loss  0.637707, Average Loss  0.641114, Time  0.461592
2021-09-07 03:19:45.559939 : Epoch  1, Batch    573, Loss  0.647763, Average Loss  0.641140, Time  0.463078
2021-09-07 03:19:47.433423 : Epoch  1, Batch    574, Loss  0.638268, Average Loss  0.641129, Time  0.460565
2021-09-07 03:19:49.319634 : Epoch  1, Batch    575, Loss  0.632412, Average Loss  0.641066, Time  0.462839
2021-09-07 03:19:51.191423 : Epoch  1, Batch    576, Loss  0.637880, Average Loss  0.641011, Time  0.460556
2021-09-07 03:19:53.050189 : Epoch  1, Batch    577, Loss  0.639849, Average Loss  0.641011, Time  0.460191
2021-09-07 03:19:54.956355 : Epoch  1, Batch    578, Loss  0.635931, Average Loss  0.640992, Time  0.461680
2021-09-07 03:19:56.830143 : Epoch  1, Batch    579, Loss  0.637513, Average Loss  0.640985, Time  0.461785
2021-09-07 03:19:58.708838 : Epoch  1, Batch    580, Loss  0.645908, Average Loss  0.641015, Time  0.461231
2021-09-07 03:20:00.588691 : Epoch  1, Batch    581, Loss  0.641080, Average Loss  0.640983, Time  0.460919
2021-09-07 03:20:02.466627 : Epoch  1, Batch    582, Loss  0.635754, Average Loss  0.640959, Time  0.461784
2021-09-07 03:20:04.350373 : Epoch  1, Batch    583, Loss  0.641061, Average Loss  0.640934, Time  0.461983
2021-09-07 03:20:06.217118 : Epoch  1, Batch    584, Loss  0.638036, Average Loss  0.640878, Time  0.461199
2021-09-07 03:20:08.086149 : Epoch  1, Batch    585, Loss  0.637227, Average Loss  0.640891, Time  0.461731
2021-09-07 03:20:09.967626 : Epoch  1, Batch    586, Loss  0.644837, Average Loss  0.640948, Time  0.461210
2021-09-07 03:20:11.841053 : Epoch  1, Batch    587, Loss  0.647157, Average Loss  0.640976, Time  0.462164
2021-09-07 03:20:13.724029 : Epoch  1, Batch    588, Loss  0.632225, Average Loss  0.640948, Time  0.462743
2021-09-07 03:20:15.605839 : Epoch  1, Batch    589, Loss  0.645422, Average Loss  0.641002, Time  0.461602
2021-09-07 03:20:17.485795 : Epoch  1, Batch    590, Loss  0.643546, Average Loss  0.640982, Time  0.460906
2021-09-07 03:20:19.358081 : Epoch  1, Batch    591, Loss  0.633368, Average Loss  0.640888, Time  0.461003
2021-09-07 03:20:21.254916 : Epoch  1, Batch    592, Loss  0.652588, Average Loss  0.640970, Time  0.461769
2021-09-07 03:20:23.125111 : Epoch  1, Batch    593, Loss  0.645361, Average Loss  0.640960, Time  0.460520
2021-09-07 03:20:24.997028 : Epoch  1, Batch    594, Loss  0.648441, Average Loss  0.641020, Time  0.461774
2021-09-07 03:20:26.863088 : Epoch  1, Batch    595, Loss  0.637009, Average Loss  0.640976, Time  0.460750
2021-09-07 03:20:28.741872 : Epoch  1, Batch    596, Loss  0.641327, Average Loss  0.641016, Time  0.460636
2021-09-07 03:20:30.632565 : Epoch  1, Batch    597, Loss  0.635931, Average Loss  0.641005, Time  0.461891
2021-09-07 03:20:32.503459 : Epoch  1, Batch    598, Loss  0.634925, Average Loss  0.641009, Time  0.462224
2021-09-07 03:20:34.375699 : Epoch  1, Batch    599, Loss  0.639378, Average Loss  0.640986, Time  0.460937
2021-09-07 03:20:36.249332 : Epoch  1, Batch    600, Loss  0.634596, Average Loss  0.640979, Time  0.461664
2021-09-07 03:21:40.017884 : CheckPoint: Validation Loss  0.00027211, Best Loss  0.00026035
2021-09-07 03:21:41.899667 : Epoch  1, Batch    601, Loss  0.644814, Average Loss  0.640993, Time  0.460878
2021-09-07 03:21:43.758947 : Epoch  1, Batch    602, Loss  0.635007, Average Loss  0.640952, Time  0.460328
2021-09-07 03:21:45.645677 : Epoch  1, Batch    603, Loss  0.649473, Average Loss  0.641013, Time  0.462474
2021-09-07 03:21:47.507919 : Epoch  1, Batch    604, Loss  0.638259, Average Loss  0.640988, Time  0.461601
2021-09-07 03:21:49.374649 : Epoch  1, Batch    605, Loss  0.655409, Average Loss  0.641033, Time  0.462014
2021-09-07 03:21:51.261820 : Epoch  1, Batch    606, Loss  0.636911, Average Loss  0.641027, Time  0.463471
2021-09-07 03:21:53.169045 : Epoch  1, Batch    607, Loss  0.640671, Average Loss  0.641018, Time  0.463144
2021-09-07 03:21:55.053576 : Epoch  1, Batch    608, Loss  0.631689, Average Loss  0.640942, Time  0.462369
2021-09-07 03:21:56.925752 : Epoch  1, Batch    609, Loss  0.644264, Average Loss  0.640964, Time  0.461087
2021-09-07 03:21:58.799018 : Epoch  1, Batch    610, Loss  0.641350, Average Loss  0.641006, Time  0.460808
2021-09-07 03:22:00.673493 : Epoch  1, Batch    611, Loss  0.635247, Average Loss  0.640976, Time  0.462059
2021-09-07 03:22:02.538577 : Epoch  1, Batch    612, Loss  0.640534, Average Loss  0.641053, Time  0.460603
2021-09-07 03:22:04.401623 : Epoch  1, Batch    613, Loss  0.640373, Average Loss  0.641075, Time  0.461388
2021-09-07 03:22:06.287166 : Epoch  1, Batch    614, Loss  0.645746, Average Loss  0.641075, Time  0.461967
2021-09-07 03:22:08.158495 : Epoch  1, Batch    615, Loss  0.644542, Average Loss  0.641101, Time  0.462021
2021-09-07 03:22:10.042978 : Epoch  1, Batch    616, Loss  0.643379, Average Loss  0.641091, Time  0.461335
2021-09-07 03:22:11.929623 : Epoch  1, Batch    617, Loss  0.641236, Average Loss  0.641082, Time  0.460658
2021-09-07 03:22:13.796711 : Epoch  1, Batch    618, Loss  0.639702, Average Loss  0.641022, Time  0.461615
2021-09-07 03:22:15.661486 : Epoch  1, Batch    619, Loss  0.642675, Average Loss  0.641001, Time  0.460356
2021-09-07 03:22:17.542179 : Epoch  1, Batch    620, Loss  0.643552, Average Loss  0.641024, Time  0.461757
2021-09-07 03:22:19.428791 : Epoch  1, Batch    621, Loss  0.642585, Average Loss  0.641054, Time  0.461210
2021-09-07 03:22:21.326611 : Epoch  1, Batch    622, Loss  0.628494, Average Loss  0.641000, Time  0.461113
2021-09-07 03:22:23.197165 : Epoch  1, Batch    623, Loss  0.628455, Average Loss  0.640896, Time  0.461636
2021-09-07 03:22:25.080770 : Epoch  1, Batch    624, Loss  0.642421, Average Loss  0.640886, Time  0.461055
2021-09-07 03:22:26.942833 : Epoch  1, Batch    625, Loss  0.644370, Average Loss  0.640923, Time  0.461560
2021-09-07 03:22:28.836751 : Epoch  1, Batch    626, Loss  0.634138, Average Loss  0.640894, Time  0.462101
2021-09-07 03:22:30.729998 : Epoch  1, Batch    627, Loss  0.635420, Average Loss  0.640888, Time  0.461569
2021-09-07 03:22:32.616026 : Epoch  1, Batch    628, Loss  0.639932, Average Loss  0.640857, Time  0.460854
2021-09-07 03:22:34.496786 : Epoch  1, Batch    629, Loss  0.637276, Average Loss  0.640847, Time  0.460897
2021-09-07 03:22:36.363251 : Epoch  1, Batch    630, Loss  0.639408, Average Loss  0.640816, Time  0.460760
2021-09-07 03:22:38.227779 : Epoch  1, Batch    631, Loss  0.648697, Average Loss  0.640881, Time  0.461213
2021-09-07 03:22:40.087674 : Epoch  1, Batch    632, Loss  0.640965, Average Loss  0.640886, Time  0.461143
2021-09-07 03:22:41.969199 : Epoch  1, Batch    633, Loss  0.633888, Average Loss  0.640877, Time  0.461037
2021-09-07 03:22:43.843200 : Epoch  1, Batch    634, Loss  0.636242, Average Loss  0.640825, Time  0.461309
2021-09-07 03:22:45.721516 : Epoch  1, Batch    635, Loss  0.633635, Average Loss  0.640791, Time  0.461820
2021-09-07 03:22:47.593814 : Epoch  1, Batch    636, Loss  0.634512, Average Loss  0.640775, Time  0.460896
2021-09-07 03:22:49.469261 : Epoch  1, Batch    637, Loss  0.639128, Average Loss  0.640760, Time  0.461438
2021-09-07 03:22:51.347240 : Epoch  1, Batch    638, Loss  0.639876, Average Loss  0.640730, Time  0.461937
2021-09-07 03:22:53.230201 : Epoch  1, Batch    639, Loss  0.643277, Average Loss  0.640780, Time  0.461529
2021-09-07 03:22:55.104674 : Epoch  1, Batch    640, Loss  0.645197, Average Loss  0.640825, Time  0.460612
2021-09-07 03:22:56.972941 : Epoch  1, Batch    641, Loss  0.640408, Average Loss  0.640813, Time  0.460771
2021-09-07 03:22:58.850266 : Epoch  1, Batch    642, Loss  0.631748, Average Loss  0.640776, Time  0.461349
2021-09-07 03:23:00.743792 : Epoch  1, Batch    643, Loss  0.643769, Average Loss  0.640786, Time  0.461877
2021-09-07 03:23:02.623254 : Epoch  1, Batch    644, Loss  0.640027, Average Loss  0.640772, Time  0.460553
2021-09-07 03:23:04.484319 : Epoch  1, Batch    645, Loss  0.641820, Average Loss  0.640826, Time  0.461215
2021-09-07 03:23:06.359836 : Epoch  1, Batch    646, Loss  0.640133, Average Loss  0.640801, Time  0.461511
2021-09-07 03:23:08.230422 : Epoch  1, Batch    647, Loss  0.647319, Average Loss  0.640764, Time  0.460640
2021-09-07 03:23:10.109952 : Epoch  1, Batch    648, Loss  0.643411, Average Loss  0.640748, Time  0.461922
2021-09-07 03:23:12.005953 : Epoch  1, Batch    649, Loss  0.644918, Average Loss  0.640759, Time  0.461485
2021-09-07 03:23:13.892992 : Epoch  1, Batch    650, Loss  0.634349, Average Loss  0.640748, Time  0.462026
2021-09-07 03:23:15.778033 : Epoch  1, Batch    651, Loss  0.629059, Average Loss  0.640680, Time  0.461406
2021-09-07 03:23:17.679532 : Epoch  1, Batch    652, Loss  0.643976, Average Loss  0.640685, Time  0.461274
2021-09-07 03:23:19.567341 : Epoch  1, Batch    653, Loss  0.637391, Average Loss  0.640669, Time  0.460369
2021-09-07 03:23:21.436847 : Epoch  1, Batch    654, Loss  0.638702, Average Loss  0.640666, Time  0.461072
2021-09-07 03:23:23.303659 : Epoch  1, Batch    655, Loss  0.634420, Average Loss  0.640616, Time  0.460802
2021-09-07 03:23:25.173682 : Epoch  1, Batch    656, Loss  0.637825, Average Loss  0.640664, Time  0.461681
2021-09-07 03:23:27.048390 : Epoch  1, Batch    657, Loss  0.637334, Average Loss  0.640666, Time  0.461189
2021-09-07 03:23:28.937420 : Epoch  1, Batch    658, Loss  0.639652, Average Loss  0.640668, Time  0.462188
2021-09-07 03:23:30.810914 : Epoch  1, Batch    659, Loss  0.633932, Average Loss  0.640653, Time  0.461075
2021-09-07 03:23:32.686521 : Epoch  1, Batch    660, Loss  0.632704, Average Loss  0.640575, Time  0.461819
2021-09-07 03:23:34.572739 : Epoch  1, Batch    661, Loss  0.639643, Average Loss  0.640531, Time  0.461178
2021-09-07 03:23:36.470699 : Epoch  1, Batch    662, Loss  0.646693, Average Loss  0.640570, Time  0.461628
2021-09-07 03:23:38.332283 : Epoch  1, Batch    663, Loss  0.633818, Average Loss  0.640534, Time  0.461649
2021-09-07 03:23:40.200244 : Epoch  1, Batch    664, Loss  0.645026, Average Loss  0.640508, Time  0.460547
2021-09-07 03:23:42.076163 : Epoch  1, Batch    665, Loss  0.636245, Average Loss  0.640501, Time  0.461547
2021-09-07 03:23:43.965275 : Epoch  1, Batch    666, Loss  0.632456, Average Loss  0.640473, Time  0.462135
2021-09-07 03:23:45.850707 : Epoch  1, Batch    667, Loss  0.639921, Average Loss  0.640468, Time  0.463040
2021-09-07 03:23:47.731987 : Epoch  1, Batch    668, Loss  0.630519, Average Loss  0.640362, Time  0.461047
2021-09-07 03:23:49.611693 : Epoch  1, Batch    669, Loss  0.647394, Average Loss  0.640386, Time  0.461273
2021-09-07 03:23:51.473715 : Epoch  1, Batch    670, Loss  0.637634, Average Loss  0.640383, Time  0.461345
2021-09-07 03:23:55.415758 : Epoch  1, Batch    671, Loss  0.638848, Average Loss  0.640404, Time  0.471347
2021-09-07 03:23:57.287071 : Epoch  1, Batch    672, Loss  0.643486, Average Loss  0.640410, Time  0.462000
2021-09-07 03:23:59.149737 : Epoch  1, Batch    673, Loss  0.645403, Average Loss  0.640475, Time  0.461648
2021-09-07 03:24:01.026023 : Epoch  1, Batch    674, Loss  0.641050, Average Loss  0.640499, Time  0.463223
2021-09-07 03:24:02.888832 : Epoch  1, Batch    675, Loss  0.635711, Average Loss  0.640451, Time  0.460555
2021-09-07 03:24:04.759055 : Epoch  1, Batch    676, Loss  0.641950, Average Loss  0.640481, Time  0.461678
2021-09-07 03:24:06.631838 : Epoch  1, Batch    677, Loss  0.638780, Average Loss  0.640461, Time  0.461441
2021-09-07 03:24:08.507791 : Epoch  1, Batch    678, Loss  0.636247, Average Loss  0.640475, Time  0.461311
2021-09-07 03:24:10.367388 : Epoch  1, Batch    679, Loss  0.646968, Average Loss  0.640501, Time  0.460586
2021-09-07 03:24:12.234034 : Epoch  1, Batch    680, Loss  0.631158, Average Loss  0.640478, Time  0.461207
2021-09-07 03:24:14.117426 : Epoch  1, Batch    681, Loss  0.642895, Average Loss  0.640515, Time  0.461949
2021-09-07 03:24:16.001409 : Epoch  1, Batch    682, Loss  0.638252, Average Loss  0.640509, Time  0.461859
2021-09-07 03:24:17.893700 : Epoch  1, Batch    683, Loss  0.643502, Average Loss  0.640469, Time  0.463737
2021-09-07 03:24:19.768786 : Epoch  1, Batch    684, Loss  0.645256, Average Loss  0.640482, Time  0.461545
2021-09-07 03:24:21.647711 : Epoch  1, Batch    685, Loss  0.637157, Average Loss  0.640500, Time  0.461827
2021-09-07 03:24:23.531983 : Epoch  1, Batch    686, Loss  0.646940, Average Loss  0.640549, Time  0.460961
2021-09-07 03:24:25.395268 : Epoch  1, Batch    687, Loss  0.637211, Average Loss  0.640505, Time  0.460835
2021-09-07 03:24:27.280283 : Epoch  1, Batch    688, Loss  0.649713, Average Loss  0.640513, Time  0.462154
2021-09-07 03:24:29.150346 : Epoch  1, Batch    689, Loss  0.647534, Average Loss  0.640548, Time  0.462893
2021-09-07 03:24:31.024495 : Epoch  1, Batch    690, Loss  0.638098, Average Loss  0.640568, Time  0.462646
2021-09-07 03:24:32.902055 : Epoch  1, Batch    691, Loss  0.644063, Average Loss  0.640578, Time  0.461743
2021-09-07 03:24:34.777532 : Epoch  1, Batch    692, Loss  0.640967, Average Loss  0.640574, Time  0.460313
2021-09-07 03:24:36.654198 : Epoch  1, Batch    693, Loss  0.639846, Average Loss  0.640527, Time  0.462242
2021-09-07 03:24:38.527765 : Epoch  1, Batch    694, Loss  0.630614, Average Loss  0.640480, Time  0.460670
2021-09-07 03:24:40.384786 : Epoch  1, Batch    695, Loss  0.646769, Average Loss  0.640513, Time  0.460658
2021-09-07 03:24:42.244174 : Epoch  1, Batch    696, Loss  0.641182, Average Loss  0.640555, Time  0.461310
2021-09-07 03:24:44.125228 : Epoch  1, Batch    697, Loss  0.635166, Average Loss  0.640549, Time  0.461231
2021-09-07 03:24:46.007723 : Epoch  1, Batch    698, Loss  0.619901, Average Loss  0.640465, Time  0.461282
2021-09-07 03:24:47.897831 : Epoch  1, Batch    699, Loss  0.633133, Average Loss  0.640374, Time  0.461363
2021-09-07 03:24:49.788778 : Epoch  1, Batch    700, Loss  0.649945, Average Loss  0.640413, Time  0.461874
2021-09-07 03:25:53.758647 : CheckPoint: Validation Loss  0.00026502, Best Loss  0.00026035
2021-09-07 03:25:55.646523 : Epoch  1, Batch    701, Loss  0.642624, Average Loss  0.640445, Time  0.461017
2021-09-07 03:25:57.517410 : Epoch  1, Batch    702, Loss  0.637674, Average Loss  0.640407, Time  0.460651
2021-09-07 03:25:59.420157 : Epoch  1, Batch    703, Loss  0.630019, Average Loss  0.640322, Time  0.461887
2021-09-07 03:26:01.301553 : Epoch  1, Batch    704, Loss  0.626033, Average Loss  0.640236, Time  0.463269
2021-09-07 03:26:03.196882 : Epoch  1, Batch    705, Loss  0.642524, Average Loss  0.640238, Time  0.461041
2021-09-07 03:26:05.068636 : Epoch  1, Batch    706, Loss  0.638459, Average Loss  0.640196, Time  0.461188
2021-09-07 03:26:06.953832 : Epoch  1, Batch    707, Loss  0.643935, Average Loss  0.640195, Time  0.461350
2021-09-07 03:26:08.830217 : Epoch  1, Batch    708, Loss  0.636578, Average Loss  0.640124, Time  0.460672
2021-09-07 03:26:10.713362 : Epoch  1, Batch    709, Loss  0.640349, Average Loss  0.640131, Time  0.461871
2021-09-07 03:26:12.607103 : Epoch  1, Batch    710, Loss  0.639625, Average Loss  0.640123, Time  0.462565
2021-09-07 03:26:14.502791 : Epoch  1, Batch    711, Loss  0.637830, Average Loss  0.640078, Time  0.463061
2021-09-07 03:26:16.408928 : Epoch  1, Batch    712, Loss  0.650151, Average Loss  0.640119, Time  0.461473
2021-09-07 03:26:18.285407 : Epoch  1, Batch    713, Loss  0.641464, Average Loss  0.640088, Time  0.460969
2021-09-07 03:26:20.160675 : Epoch  1, Batch    714, Loss  0.637140, Average Loss  0.640100, Time  0.461818
2021-09-07 03:26:22.049811 : Epoch  1, Batch    715, Loss  0.636915, Average Loss  0.640108, Time  0.461689
2021-09-07 03:26:23.931678 : Epoch  1, Batch    716, Loss  0.634100, Average Loss  0.640066, Time  0.460750
2021-09-07 03:26:25.815041 : Epoch  1, Batch    717, Loss  0.644581, Average Loss  0.640071, Time  0.460971
2021-09-07 03:26:27.694082 : Epoch  1, Batch    718, Loss  0.651911, Average Loss  0.640188, Time  0.462178
2021-09-07 03:26:29.577401 : Epoch  1, Batch    719, Loss  0.645820, Average Loss  0.640264, Time  0.460510
2021-09-07 03:26:31.448131 : Epoch  1, Batch    720, Loss  0.639475, Average Loss  0.640280, Time  0.461387
2021-09-07 03:26:33.324198 : Epoch  1, Batch    721, Loss  0.642477, Average Loss  0.640264, Time  0.461395
2021-09-07 03:26:35.215344 : Epoch  1, Batch    722, Loss  0.640044, Average Loss  0.640259, Time  0.461519
2021-09-07 03:26:37.095868 : Epoch  1, Batch    723, Loss  0.630812, Average Loss  0.640213, Time  0.460925
2021-09-07 03:26:38.965752 : Epoch  1, Batch    724, Loss  0.637772, Average Loss  0.640184, Time  0.461503
2021-09-07 03:26:40.840144 : Epoch  1, Batch    725, Loss  0.639828, Average Loss  0.640187, Time  0.460780
2021-09-07 03:26:42.712718 : Epoch  1, Batch    726, Loss  0.641109, Average Loss  0.640185, Time  0.462776
2021-09-07 03:26:44.595313 : Epoch  1, Batch    727, Loss  0.647665, Average Loss  0.640198, Time  0.461633
2021-09-07 03:26:46.468637 : Epoch  1, Batch    728, Loss  0.628834, Average Loss  0.640149, Time  0.461825
2021-09-07 03:26:48.361458 : Epoch  1, Batch    729, Loss  0.636931, Average Loss  0.640155, Time  0.460465
2021-09-07 03:26:50.236884 : Epoch  1, Batch    730, Loss  0.645472, Average Loss  0.640208, Time  0.460802
2021-09-07 03:26:52.126146 : Epoch  1, Batch    731, Loss  0.632395, Average Loss  0.640179, Time  0.461608
2021-09-07 03:26:54.008260 : Epoch  1, Batch    732, Loss  0.641670, Average Loss  0.640191, Time  0.460238
2021-09-07 03:26:55.884252 : Epoch  1, Batch    733, Loss  0.632855, Average Loss  0.640126, Time  0.460142
2021-09-07 03:26:57.763358 : Epoch  1, Batch    734, Loss  0.630903, Average Loss  0.640070, Time  0.462296
2021-09-07 03:26:59.640544 : Epoch  1, Batch    735, Loss  0.637158, Average Loss  0.640051, Time  0.460602
2021-09-07 03:27:01.539074 : Epoch  1, Batch    736, Loss  0.639056, Average Loss  0.640073, Time  0.461305
2021-09-07 03:27:03.427210 : Epoch  1, Batch    737, Loss  0.644355, Average Loss  0.640105, Time  0.461623
2021-09-07 03:27:05.304773 : Epoch  1, Batch    738, Loss  0.645488, Average Loss  0.640168, Time  0.461397
2021-09-07 03:27:07.197766 : Epoch  1, Batch    739, Loss  0.642011, Average Loss  0.640124, Time  0.461438
2021-09-07 03:27:09.077332 : Epoch  1, Batch    740, Loss  0.643743, Average Loss  0.640153, Time  0.460963
2021-09-07 03:27:10.968348 : Epoch  1, Batch    741, Loss  0.645681, Average Loss  0.640168, Time  0.460908
2021-09-07 03:27:12.845511 : Epoch  1, Batch    742, Loss  0.624789, Average Loss  0.640121, Time  0.461150
2021-09-07 03:27:14.719973 : Epoch  1, Batch    743, Loss  0.641765, Average Loss  0.640082, Time  0.460720
2021-09-07 03:27:16.596731 : Epoch  1, Batch    744, Loss  0.651822, Average Loss  0.640150, Time  0.461392
2021-09-07 03:27:18.486746 : Epoch  1, Batch    745, Loss  0.633979, Average Loss  0.640154, Time  0.461338
2021-09-07 03:27:20.376352 : Epoch  1, Batch    746, Loss  0.629424, Average Loss  0.640126, Time  0.460509
2021-09-07 03:27:22.254743 : Epoch  1, Batch    747, Loss  0.645563, Average Loss  0.640140, Time  0.461175
2021-09-07 03:27:24.132113 : Epoch  1, Batch    748, Loss  0.638427, Average Loss  0.640139, Time  0.460876
2021-09-07 03:27:26.002951 : Epoch  1, Batch    749, Loss  0.636655, Average Loss  0.640158, Time  0.461353
2021-09-07 03:27:27.895204 : Epoch  1, Batch    750, Loss  0.634568, Average Loss  0.640116, Time  0.460953
2021-09-07 03:27:29.774830 : Epoch  1, Batch    751, Loss  0.635348, Average Loss  0.640094, Time  0.460555
2021-09-07 03:27:31.647703 : Epoch  1, Batch    752, Loss  0.646455, Average Loss  0.640068, Time  0.460660
2021-09-07 03:27:33.528440 : Epoch  1, Batch    753, Loss  0.635236, Average Loss  0.640015, Time  0.462221
2021-09-07 03:27:35.400370 : Epoch  1, Batch    754, Loss  0.640017, Average Loss  0.640000, Time  0.461214
2021-09-07 03:27:37.283814 : Epoch  1, Batch    755, Loss  0.634997, Average Loss  0.640009, Time  0.463145
2021-09-07 03:27:39.180466 : Epoch  1, Batch    756, Loss  0.638853, Average Loss  0.639966, Time  0.461705
2021-09-07 03:27:41.075436 : Epoch  1, Batch    757, Loss  0.652799, Average Loss  0.640009, Time  0.461621
2021-09-07 03:27:42.973442 : Epoch  1, Batch    758, Loss  0.651677, Average Loss  0.640032, Time  0.461679
2021-09-07 03:27:44.865126 : Epoch  1, Batch    759, Loss  0.648002, Average Loss  0.640008, Time  0.461174
2021-09-07 03:27:46.755881 : Epoch  1, Batch    760, Loss  0.641383, Average Loss  0.639975, Time  0.462042
2021-09-07 03:27:48.643633 : Epoch  1, Batch    761, Loss  0.644392, Average Loss  0.639973, Time  0.462205
2021-09-07 03:27:50.535116 : Epoch  1, Batch    762, Loss  0.630244, Average Loss  0.639914, Time  0.461240
2021-09-07 03:27:52.406992 : Epoch  1, Batch    763, Loss  0.643463, Average Loss  0.639937, Time  0.461643
2021-09-07 03:27:54.295075 : Epoch  1, Batch    764, Loss  0.641403, Average Loss  0.639957, Time  0.460723
2021-09-07 03:27:56.170813 : Epoch  1, Batch    765, Loss  0.638857, Average Loss  0.639926, Time  0.461684
2021-09-07 03:27:58.050739 : Epoch  1, Batch    766, Loss  0.641048, Average Loss  0.639927, Time  0.461774
2021-09-07 03:27:59.955548 : Epoch  1, Batch    767, Loss  0.633492, Average Loss  0.639868, Time  0.461374
2021-09-07 03:28:01.862064 : Epoch  1, Batch    768, Loss  0.639652, Average Loss  0.639847, Time  0.462148
2021-09-07 03:28:03.754981 : Epoch  1, Batch    769, Loss  0.640621, Average Loss  0.639836, Time  0.461100
2021-09-07 03:28:05.630964 : Epoch  1, Batch    770, Loss  0.642852, Average Loss  0.639811, Time  0.461256
2021-09-07 03:28:09.596448 : Epoch  1, Batch    771, Loss  0.649000, Average Loss  0.639827, Time  0.471646
2021-09-07 03:28:11.498050 : Epoch  1, Batch    772, Loss  0.641618, Average Loss  0.639847, Time  0.461805
2021-09-07 03:28:13.373062 : Epoch  1, Batch    773, Loss  0.643585, Average Loss  0.639826, Time  0.462122
2021-09-07 03:28:15.274079 : Epoch  1, Batch    774, Loss  0.631934, Average Loss  0.639794, Time  0.461749
2021-09-07 03:28:17.147202 : Epoch  1, Batch    775, Loss  0.641707, Average Loss  0.639841, Time  0.460927
2021-09-07 03:28:19.031093 : Epoch  1, Batch    776, Loss  0.639662, Average Loss  0.639850, Time  0.461606
2021-09-07 03:28:20.909983 : Epoch  1, Batch    777, Loss  0.630818, Average Loss  0.639805, Time  0.461775
2021-09-07 03:28:22.807362 : Epoch  1, Batch    778, Loss  0.642751, Average Loss  0.639839, Time  0.461913
2021-09-07 03:28:24.693070 : Epoch  1, Batch    779, Loss  0.636136, Average Loss  0.639832, Time  0.460356
2021-09-07 03:28:26.566931 : Epoch  1, Batch    780, Loss  0.629385, Average Loss  0.639749, Time  0.460858
2021-09-07 03:28:28.452274 : Epoch  1, Batch    781, Loss  0.642496, Average Loss  0.639756, Time  0.462470
2021-09-07 03:28:30.334228 : Epoch  1, Batch    782, Loss  0.632087, Average Loss  0.639738, Time  0.460378
2021-09-07 03:28:32.211515 : Epoch  1, Batch    783, Loss  0.639279, Average Loss  0.639729, Time  0.461873
2021-09-07 03:28:34.105134 : Epoch  1, Batch    784, Loss  0.639134, Average Loss  0.639735, Time  0.460987
2021-09-07 03:28:35.983919 : Epoch  1, Batch    785, Loss  0.637323, Average Loss  0.639735, Time  0.461701
2021-09-07 03:28:37.881905 : Epoch  1, Batch    786, Loss  0.631346, Average Loss  0.639668, Time  0.461102
2021-09-07 03:28:39.767654 : Epoch  1, Batch    787, Loss  0.645572, Average Loss  0.639660, Time  0.461269
2021-09-07 03:28:39.790922 : Saving Model after 1-th Epoch.
2021-09-07 03:28:43.834178 : Epoch Finished.
2021-09-07 03:28:45.803271 : Batch Shuffled
2021-09-07 03:28:47.676048 : Epoch  2, Batch      1, Loss  0.641554, Average Loss  0.639706, Time  0.460906
2021-09-07 03:28:49.562638 : Epoch  2, Batch      2, Loss  0.646823, Average Loss  0.639713, Time  0.461646
2021-09-07 03:28:51.439654 : Epoch  2, Batch      3, Loss  0.643433, Average Loss  0.639713, Time  0.460526
2021-09-07 03:28:53.309524 : Epoch  2, Batch      4, Loss  0.634757, Average Loss  0.639720, Time  0.460605
2021-09-07 03:28:55.183653 : Epoch  2, Batch      5, Loss  0.647270, Average Loss  0.639693, Time  0.460604
2021-09-07 03:28:57.057109 : Epoch  2, Batch      6, Loss  0.648179, Average Loss  0.639707, Time  0.461046
2021-09-07 03:28:58.933754 : Epoch  2, Batch      7, Loss  0.646226, Average Loss  0.639696, Time  0.460869
2021-09-07 03:29:00.795479 : Epoch  2, Batch      8, Loss  0.639460, Average Loss  0.639708, Time  0.461018
2021-09-07 03:29:02.672775 : Epoch  2, Batch      9, Loss  0.637923, Average Loss  0.639691, Time  0.462208
2021-09-07 03:29:04.542754 : Epoch  2, Batch     10, Loss  0.644104, Average Loss  0.639732, Time  0.461480
2021-09-07 03:29:06.419432 : Epoch  2, Batch     11, Loss  0.646543, Average Loss  0.639790, Time  0.460668
2021-09-07 03:29:08.297756 : Epoch  2, Batch     12, Loss  0.640124, Average Loss  0.639794, Time  0.462315
2021-09-07 03:29:10.176484 : Epoch  2, Batch     13, Loss  0.639122, Average Loss  0.639817, Time  0.460272
2021-09-07 03:30:14.155094 : CheckPoint: Validation Loss  0.00027203, Best Loss  0.00026035
2021-09-07 03:30:16.048486 : Epoch  2, Batch     14, Loss  0.638780, Average Loss  0.639787, Time  0.461075
2021-09-07 03:30:17.917404 : Epoch  2, Batch     15, Loss  0.631951, Average Loss  0.639771, Time  0.460726
2021-09-07 03:30:19.782646 : Epoch  2, Batch     16, Loss  0.644355, Average Loss  0.639746, Time  0.461478
2021-09-07 03:30:21.646313 : Epoch  2, Batch     17, Loss  0.642014, Average Loss  0.639764, Time  0.460731
2021-09-07 03:30:23.511677 : Epoch  2, Batch     18, Loss  0.643383, Average Loss  0.639704, Time  0.460924
2021-09-07 03:30:25.382702 : Epoch  2, Batch     19, Loss  0.638436, Average Loss  0.639712, Time  0.461359
2021-09-07 03:30:27.252996 : Epoch  2, Batch     20, Loss  0.640597, Average Loss  0.639712, Time  0.461162
2021-09-07 03:30:29.131141 : Epoch  2, Batch     21, Loss  0.636281, Average Loss  0.639735, Time  0.461628
2021-09-07 03:30:31.027827 : Epoch  2, Batch     22, Loss  0.637708, Average Loss  0.639702, Time  0.461861
2021-09-07 03:30:32.909658 : Epoch  2, Batch     23, Loss  0.642640, Average Loss  0.639708, Time  0.461022
2021-09-07 03:30:34.792477 : Epoch  2, Batch     24, Loss  0.644534, Average Loss  0.639755, Time  0.461124
2021-09-07 03:30:36.683279 : Epoch  2, Batch     25, Loss  0.656375, Average Loss  0.639834, Time  0.460927
2021-09-07 03:30:38.555818 : Epoch  2, Batch     26, Loss  0.639319, Average Loss  0.639829, Time  0.461272
2021-09-07 03:30:40.436193 : Epoch  2, Batch     27, Loss  0.633578, Average Loss  0.639768, Time  0.461420
2021-09-07 03:30:42.303978 : Epoch  2, Batch     28, Loss  0.633114, Average Loss  0.639711, Time  0.460665
2021-09-07 03:30:44.178908 : Epoch  2, Batch     29, Loss  0.632740, Average Loss  0.639657, Time  0.462115
2021-09-07 03:30:46.062020 : Epoch  2, Batch     30, Loss  0.641379, Average Loss  0.639658, Time  0.460593
2021-09-07 03:30:47.933251 : Epoch  2, Batch     31, Loss  0.641302, Average Loss  0.639666, Time  0.460971
2021-09-07 03:30:49.805493 : Epoch  2, Batch     32, Loss  0.632978, Average Loss  0.639618, Time  0.461063
2021-09-07 03:30:51.690993 : Epoch  2, Batch     33, Loss  0.644403, Average Loss  0.639622, Time  0.461349
2021-09-07 03:30:53.573172 : Epoch  2, Batch     34, Loss  0.643792, Average Loss  0.639628, Time  0.461428
2021-09-07 03:30:55.445272 : Epoch  2, Batch     35, Loss  0.642528, Average Loss  0.639698, Time  0.461246
2021-09-07 03:30:57.324207 : Epoch  2, Batch     36, Loss  0.645406, Average Loss  0.639783, Time  0.462306
2021-09-07 03:30:59.208331 : Epoch  2, Batch     37, Loss  0.635018, Average Loss  0.639746, Time  0.462068
2021-09-07 03:31:01.075922 : Epoch  2, Batch     38, Loss  0.641001, Average Loss  0.639729, Time  0.460643
2021-09-07 03:31:02.948940 : Epoch  2, Batch     39, Loss  0.652380, Average Loss  0.639820, Time  0.461978
2021-09-07 03:31:04.833727 : Epoch  2, Batch     40, Loss  0.653642, Average Loss  0.639911, Time  0.460816
2021-09-07 03:31:06.706985 : Epoch  2, Batch     41, Loss  0.642952, Average Loss  0.639926, Time  0.462048
2021-09-07 03:31:08.623772 : Epoch  2, Batch     42, Loss  0.638036, Average Loss  0.639930, Time  0.464079
2021-09-07 03:31:10.512938 : Epoch  2, Batch     43, Loss  0.638750, Average Loss  0.639927, Time  0.461289
2021-09-07 03:31:12.378805 : Epoch  2, Batch     44, Loss  0.645185, Average Loss  0.639909, Time  0.461047
2021-09-07 03:31:14.253094 : Epoch  2, Batch     45, Loss  0.631467, Average Loss  0.639862, Time  0.461471
2021-09-07 03:31:16.115415 : Epoch  2, Batch     46, Loss  0.629988, Average Loss  0.639842, Time  0.460842
2021-09-07 03:31:17.995075 : Epoch  2, Batch     47, Loss  0.642456, Average Loss  0.639873, Time  0.461270
2021-09-07 03:31:19.862252 : Epoch  2, Batch     48, Loss  0.633453, Average Loss  0.639873, Time  0.461155
2021-09-07 03:31:21.747008 : Epoch  2, Batch     49, Loss  0.637258, Average Loss  0.639886, Time  0.461309
2021-09-07 03:31:23.620768 : Epoch  2, Batch     50, Loss  0.639133, Average Loss  0.639886, Time  0.461298
2021-09-07 03:31:25.498400 : Epoch  2, Batch     51, Loss  0.634791, Average Loss  0.639861, Time  0.461654
2021-09-07 03:31:27.361774 : Epoch  2, Batch     52, Loss  0.631163, Average Loss  0.639800, Time  0.461809
2021-09-07 03:31:29.252263 : Epoch  2, Batch     53, Loss  0.647002, Average Loss  0.639809, Time  0.462913
2021-09-07 03:31:31.119971 : Epoch  2, Batch     54, Loss  0.645833, Average Loss  0.639836, Time  0.460824
2021-09-07 03:31:32.998137 : Epoch  2, Batch     55, Loss  0.639462, Average Loss  0.639875, Time  0.462119
2021-09-07 03:31:34.882979 : Epoch  2, Batch     56, Loss  0.644184, Average Loss  0.639877, Time  0.460582
2021-09-07 03:31:36.751920 : Epoch  2, Batch     57, Loss  0.647056, Average Loss  0.639912, Time  0.460705
2021-09-07 03:31:38.619800 : Epoch  2, Batch     58, Loss  0.640080, Average Loss  0.639904, Time  0.460985
2021-09-07 03:31:40.489764 : Epoch  2, Batch     59, Loss  0.639722, Average Loss  0.639901, Time  0.461498
2021-09-07 03:31:42.354375 : Epoch  2, Batch     60, Loss  0.633521, Average Loss  0.639832, Time  0.461123
2021-09-07 03:31:44.238614 : Epoch  2, Batch     61, Loss  0.648448, Average Loss  0.639858, Time  0.461149
2021-09-07 03:31:46.128530 : Epoch  2, Batch     62, Loss  0.643610, Average Loss  0.639851, Time  0.460767
2021-09-07 03:31:48.013000 : Epoch  2, Batch     63, Loss  0.644808, Average Loss  0.639903, Time  0.460657
2021-09-07 03:31:49.891865 : Epoch  2, Batch     64, Loss  0.643165, Average Loss  0.639974, Time  0.461728
2021-09-07 03:31:51.794850 : Epoch  2, Batch     65, Loss  0.651480, Average Loss  0.640011, Time  0.461796
2021-09-07 03:31:53.680412 : Epoch  2, Batch     66, Loss  0.641600, Average Loss  0.640033, Time  0.461600
2021-09-07 03:31:55.571544 : Epoch  2, Batch     67, Loss  0.635893, Average Loss  0.640018, Time  0.460657
2021-09-07 03:31:57.447895 : Epoch  2, Batch     68, Loss  0.625515, Average Loss  0.639974, Time  0.461607
2021-09-07 03:31:59.335440 : Epoch  2, Batch     69, Loss  0.643071, Average Loss  0.640000, Time  0.460990
2021-09-07 03:32:01.217400 : Epoch  2, Batch     70, Loss  0.650741, Average Loss  0.640067, Time  0.461590
2021-09-07 03:32:03.114700 : Epoch  2, Batch     71, Loss  0.635251, Average Loss  0.640045, Time  0.460842
2021-09-07 03:32:04.981953 : Epoch  2, Batch     72, Loss  0.642037, Average Loss  0.640086, Time  0.460753
2021-09-07 03:32:06.866786 : Epoch  2, Batch     73, Loss  0.638234, Average Loss  0.640113, Time  0.460984
2021-09-07 03:32:08.733428 : Epoch  2, Batch     74, Loss  0.629407, Average Loss  0.640062, Time  0.460540
2021-09-07 03:32:10.605706 : Epoch  2, Batch     75, Loss  0.646920, Average Loss  0.640063, Time  0.461672
2021-09-07 03:32:12.506645 : Epoch  2, Batch     76, Loss  0.641149, Average Loss  0.640100, Time  0.461702
2021-09-07 03:32:14.394396 : Epoch  2, Batch     77, Loss  0.639879, Average Loss  0.640074, Time  0.461281
2021-09-07 03:32:16.260699 : Epoch  2, Batch     78, Loss  0.644330, Average Loss  0.640115, Time  0.460784
2021-09-07 03:32:18.137960 : Epoch  2, Batch     79, Loss  0.638127, Average Loss  0.640143, Time  0.460567
2021-09-07 03:32:20.029430 : Epoch  2, Batch     80, Loss  0.632902, Average Loss  0.640108, Time  0.461410
2021-09-07 03:32:21.937320 : Epoch  2, Batch     81, Loss  0.642604, Average Loss  0.640168, Time  0.461542
2021-09-07 03:32:23.808367 : Epoch  2, Batch     82, Loss  0.649759, Average Loss  0.640180, Time  0.461676
2021-09-07 03:32:25.681796 : Epoch  2, Batch     83, Loss  0.636208, Average Loss  0.640173, Time  0.461618
2021-09-07 03:32:29.610144 : Epoch  2, Batch     84, Loss  0.643218, Average Loss  0.640195, Time  0.471978
2021-09-07 03:32:31.490139 : Epoch  2, Batch     85, Loss  0.649530, Average Loss  0.640225, Time  0.461827
2021-09-07 03:32:33.363854 : Epoch  2, Batch     86, Loss  0.649851, Average Loss  0.640247, Time  0.461434
2021-09-07 03:32:35.244809 : Epoch  2, Batch     87, Loss  0.641376, Average Loss  0.640249, Time  0.461752
2021-09-07 03:32:37.132311 : Epoch  2, Batch     88, Loss  0.650745, Average Loss  0.640324, Time  0.461246
2021-09-07 03:32:38.994823 : Epoch  2, Batch     89, Loss  0.643924, Average Loss  0.640334, Time  0.461369
2021-09-07 03:32:40.870905 : Epoch  2, Batch     90, Loss  0.642645, Average Loss  0.640353, Time  0.461438
2021-09-07 03:32:42.744221 : Epoch  2, Batch     91, Loss  0.639889, Average Loss  0.640372, Time  0.461061
2021-09-07 03:32:44.613036 : Epoch  2, Batch     92, Loss  0.651827, Average Loss  0.640396, Time  0.462276
2021-09-07 03:32:46.507048 : Epoch  2, Batch     93, Loss  0.637687, Average Loss  0.640429, Time  0.462356
2021-09-07 03:32:48.378344 : Epoch  2, Batch     94, Loss  0.640715, Average Loss  0.640418, Time  0.461402
2021-09-07 03:32:50.262664 : Epoch  2, Batch     95, Loss  0.639925, Average Loss  0.640426, Time  0.464024
2021-09-07 03:32:52.152511 : Epoch  2, Batch     96, Loss  0.637272, Average Loss  0.640395, Time  0.461722
2021-09-07 03:32:54.021286 : Epoch  2, Batch     97, Loss  0.643859, Average Loss  0.640388, Time  0.460655
2021-09-07 03:32:55.889502 : Epoch  2, Batch     98, Loss  0.634170, Average Loss  0.640373, Time  0.460764
2021-09-07 03:32:57.780444 : Epoch  2, Batch     99, Loss  0.650520, Average Loss  0.640391, Time  0.461890
2021-09-07 03:32:59.670179 : Epoch  2, Batch    100, Loss  0.628881, Average Loss  0.640349, Time  0.462190
2021-09-07 03:33:01.561121 : Epoch  2, Batch    101, Loss  0.645193, Average Loss  0.640327, Time  0.461340
2021-09-07 03:33:03.451672 : Epoch  2, Batch    102, Loss  0.638328, Average Loss  0.640281, Time  0.461662
2021-09-07 03:33:05.336955 : Epoch  2, Batch    103, Loss  0.630901, Average Loss  0.640245, Time  0.462546
2021-09-07 03:33:07.240992 : Epoch  2, Batch    104, Loss  0.639150, Average Loss  0.640220, Time  0.462359
2021-09-07 03:33:09.112123 : Epoch  2, Batch    105, Loss  0.648332, Average Loss  0.640257, Time  0.460951
2021-09-07 03:33:10.997103 : Epoch  2, Batch    106, Loss  0.645370, Average Loss  0.640284, Time  0.462839
2021-09-07 03:33:12.878177 : Epoch  2, Batch    107, Loss  0.640824, Average Loss  0.640335, Time  0.461177
2021-09-07 03:33:14.778754 : Epoch  2, Batch    108, Loss  0.638194, Average Loss  0.640293, Time  0.461447
2021-09-07 03:33:16.642709 : Epoch  2, Batch    109, Loss  0.644852, Average Loss  0.640311, Time  0.460669
2021-09-07 03:33:18.526968 : Epoch  2, Batch    110, Loss  0.641058, Average Loss  0.640340, Time  0.462258
2021-09-07 03:33:20.396521 : Epoch  2, Batch    111, Loss  0.640655, Average Loss  0.640444, Time  0.461368
2021-09-07 03:33:22.282227 : Epoch  2, Batch    112, Loss  0.638739, Average Loss  0.640472, Time  0.461841
2021-09-07 03:33:24.164788 : Epoch  2, Batch    113, Loss  0.633330, Average Loss  0.640389, Time  0.461251
2021-09-07 03:34:28.008386 : CheckPoint: Validation Loss  0.00026709, Best Loss  0.00026035
2021-09-07 03:34:29.879203 : Epoch  2, Batch    114, Loss  0.640687, Average Loss  0.640379, Time  0.461729
2021-09-07 03:34:31.769016 : Epoch  2, Batch    115, Loss  0.645914, Average Loss  0.640421, Time  0.462082
2021-09-07 03:34:33.644365 : Epoch  2, Batch    116, Loss  0.642286, Average Loss  0.640482, Time  0.461333
2021-09-07 03:34:35.513327 : Epoch  2, Batch    117, Loss  0.640138, Average Loss  0.640553, Time  0.460260
2021-09-07 03:34:37.388647 : Epoch  2, Batch    118, Loss  0.646791, Average Loss  0.640574, Time  0.462103
2021-09-07 03:34:39.259456 : Epoch  2, Batch    119, Loss  0.650409, Average Loss  0.640634, Time  0.461044
2021-09-07 03:34:41.126065 : Epoch  2, Batch    120, Loss  0.642143, Average Loss  0.640625, Time  0.461560
2021-09-07 03:34:42.993918 : Epoch  2, Batch    121, Loss  0.642646, Average Loss  0.640655, Time  0.460686
2021-09-07 03:34:44.863639 : Epoch  2, Batch    122, Loss  0.630385, Average Loss  0.640605, Time  0.461926
2021-09-07 03:34:46.737509 : Epoch  2, Batch    123, Loss  0.635351, Average Loss  0.640584, Time  0.461776
2021-09-07 03:34:48.618572 : Epoch  2, Batch    124, Loss  0.645837, Average Loss  0.640624, Time  0.460824
2021-09-07 03:34:50.497139 : Epoch  2, Batch    125, Loss  0.649045, Average Loss  0.640618, Time  0.462198
2021-09-07 03:34:52.374769 : Epoch  2, Batch    126, Loss  0.645546, Average Loss  0.640639, Time  0.460573
2021-09-07 03:34:54.243929 : Epoch  2, Batch    127, Loss  0.644465, Average Loss  0.640675, Time  0.461570
2021-09-07 03:34:56.118727 : Epoch  2, Batch    128, Loss  0.637494, Average Loss  0.640678, Time  0.462471
2021-09-07 03:34:58.006474 : Epoch  2, Batch    129, Loss  0.640543, Average Loss  0.640710, Time  0.462018
2021-09-07 03:34:59.878721 : Epoch  2, Batch    130, Loss  0.635508, Average Loss  0.640665, Time  0.461610
2021-09-07 03:35:01.762493 : Epoch  2, Batch    131, Loss  0.645726, Average Loss  0.640634, Time  0.462402
2021-09-07 03:35:03.648095 : Epoch  2, Batch    132, Loss  0.630631, Average Loss  0.640558, Time  0.462106
2021-09-07 03:35:05.534460 : Epoch  2, Batch    133, Loss  0.634300, Average Loss  0.640532, Time  0.461627
2021-09-07 03:35:07.405660 : Epoch  2, Batch    134, Loss  0.636535, Average Loss  0.640503, Time  0.460474
2021-09-07 03:35:09.269563 : Epoch  2, Batch    135, Loss  0.638287, Average Loss  0.640494, Time  0.462070
2021-09-07 03:35:11.168398 : Epoch  2, Batch    136, Loss  0.642080, Average Loss  0.640550, Time  0.461559
2021-09-07 03:35:13.079428 : Epoch  2, Batch    137, Loss  0.643801, Average Loss  0.640580, Time  0.461887
2021-09-07 03:35:14.945146 : Epoch  2, Batch    138, Loss  0.636192, Average Loss  0.640562, Time  0.460663
2021-09-07 03:35:16.807749 : Epoch  2, Batch    139, Loss  0.635788, Average Loss  0.640536, Time  0.461237
2021-09-07 03:35:18.672605 : Epoch  2, Batch    140, Loss  0.644372, Average Loss  0.640519, Time  0.460297
2021-09-07 03:35:20.533047 : Epoch  2, Batch    141, Loss  0.633389, Average Loss  0.640542, Time  0.460768
2021-09-07 03:35:22.392258 : Epoch  2, Batch    142, Loss  0.640406, Average Loss  0.640559, Time  0.460715
2021-09-07 03:35:24.268014 : Epoch  2, Batch    143, Loss  0.630333, Average Loss  0.640484, Time  0.461784
2021-09-07 03:35:26.146809 : Epoch  2, Batch    144, Loss  0.651533, Average Loss  0.640579, Time  0.460974
2021-09-07 03:35:28.013319 : Epoch  2, Batch    145, Loss  0.632713, Average Loss  0.640534, Time  0.460708
2021-09-07 03:35:29.906202 : Epoch  2, Batch    146, Loss  0.635240, Average Loss  0.640546, Time  0.462073
2021-09-07 03:35:31.769800 : Epoch  2, Batch    147, Loss  0.649544, Average Loss  0.640640, Time  0.461192
2021-09-07 03:35:33.631536 : Epoch  2, Batch    148, Loss  0.636134, Average Loss  0.640634, Time  0.460735
2021-09-07 03:35:35.501090 : Epoch  2, Batch    149, Loss  0.645357, Average Loss  0.640666, Time  0.460770
2021-09-07 03:35:37.381320 : Epoch  2, Batch    150, Loss  0.639183, Average Loss  0.640640, Time  0.460860
2021-09-07 03:35:39.252464 : Epoch  2, Batch    151, Loss  0.649802, Average Loss  0.640662, Time  0.462500
2021-09-07 03:35:41.140076 : Epoch  2, Batch    152, Loss  0.647150, Average Loss  0.640687, Time  0.461904
2021-09-07 03:35:43.033892 : Epoch  2, Batch    153, Loss  0.639104, Average Loss  0.640664, Time  0.461689
2021-09-07 03:35:44.910325 : Epoch  2, Batch    154, Loss  0.637012, Average Loss  0.640621, Time  0.461380
2021-09-07 03:35:46.781867 : Epoch  2, Batch    155, Loss  0.639772, Average Loss  0.640696, Time  0.461511
2021-09-07 03:35:48.647756 : Epoch  2, Batch    156, Loss  0.639055, Average Loss  0.640682, Time  0.461254
2021-09-07 03:35:50.517620 : Epoch  2, Batch    157, Loss  0.634638, Average Loss  0.640596, Time  0.460883
2021-09-07 03:35:52.393124 : Epoch  2, Batch    158, Loss  0.644820, Average Loss  0.640650, Time  0.461250
2021-09-07 03:35:54.276549 : Epoch  2, Batch    159, Loss  0.623323, Average Loss  0.640620, Time  0.463234
2021-09-07 03:35:56.152350 : Epoch  2, Batch    160, Loss  0.628338, Average Loss  0.640534, Time  0.460827
2021-09-07 03:35:58.009812 : Epoch  2, Batch    161, Loss  0.639669, Average Loss  0.640540, Time  0.460930
2021-09-07 03:35:59.872838 : Epoch  2, Batch    162, Loss  0.638590, Average Loss  0.640550, Time  0.461406
2021-09-07 03:36:01.753404 : Epoch  2, Batch    163, Loss  0.649071, Average Loss  0.640622, Time  0.461789
2021-09-07 03:36:03.630472 : Epoch  2, Batch    164, Loss  0.628092, Average Loss  0.640586, Time  0.461200
2021-09-07 03:36:05.485272 : Epoch  2, Batch    165, Loss  0.630556, Average Loss  0.640506, Time  0.461036
2021-09-07 03:36:07.340360 : Epoch  2, Batch    166, Loss  0.639653, Average Loss  0.640529, Time  0.460229
2021-09-07 03:36:09.201871 : Epoch  2, Batch    167, Loss  0.639650, Average Loss  0.640527, Time  0.460986
2021-09-07 03:36:11.069860 : Epoch  2, Batch    168, Loss  0.643119, Average Loss  0.640567, Time  0.461760
2021-09-07 03:36:12.930149 : Epoch  2, Batch    169, Loss  0.635267, Average Loss  0.640549, Time  0.460731
2021-09-07 03:36:14.797160 : Epoch  2, Batch    170, Loss  0.636187, Average Loss  0.640466, Time  0.461410
2021-09-07 03:36:16.682542 : Epoch  2, Batch    171, Loss  0.636728, Average Loss  0.640392, Time  0.461687
2021-09-07 03:36:18.545306 : Epoch  2, Batch    172, Loss  0.632679, Average Loss  0.640315, Time  0.460840
2021-09-07 03:36:20.412334 : Epoch  2, Batch    173, Loss  0.636589, Average Loss  0.640291, Time  0.461075
2021-09-07 03:36:22.273146 : Epoch  2, Batch    174, Loss  0.648646, Average Loss  0.640312, Time  0.461529
2021-09-07 03:36:24.152935 : Epoch  2, Batch    175, Loss  0.641543, Average Loss  0.640369, Time  0.462788
2021-09-07 03:36:26.029930 : Epoch  2, Batch    176, Loss  0.648215, Average Loss  0.640393, Time  0.461049
2021-09-07 03:36:27.894475 : Epoch  2, Batch    177, Loss  0.640323, Average Loss  0.640387, Time  0.461296
2021-09-07 03:36:29.783725 : Epoch  2, Batch    178, Loss  0.641591, Average Loss  0.640401, Time  0.461544
2021-09-07 03:36:31.645493 : Epoch  2, Batch    179, Loss  0.636409, Average Loss  0.640378, Time  0.461335
2021-09-07 03:36:33.509729 : Epoch  2, Batch    180, Loss  0.633171, Average Loss  0.640376, Time  0.460555
2021-09-07 03:36:35.382622 : Epoch  2, Batch    181, Loss  0.643732, Average Loss  0.640396, Time  0.462007
2021-09-07 03:36:37.267058 : Epoch  2, Batch    182, Loss  0.645735, Average Loss  0.640422, Time  0.461083
2021-09-07 03:36:39.135820 : Epoch  2, Batch    183, Loss  0.634613, Average Loss  0.640381, Time  0.462276
2021-09-07 03:36:43.129259 : Epoch  2, Batch    184, Loss  0.638212, Average Loss  0.640327, Time  0.471738
2021-09-07 03:36:45.011800 : Epoch  2, Batch    185, Loss  0.647239, Average Loss  0.640355, Time  0.461754
2021-09-07 03:36:46.884709 : Epoch  2, Batch    186, Loss  0.639316, Average Loss  0.640334, Time  0.460994
2021-09-07 03:36:48.743866 : Epoch  2, Batch    187, Loss  0.643373, Average Loss  0.640391, Time  0.464075
2021-09-07 03:36:50.606553 : Epoch  2, Batch    188, Loss  0.642152, Average Loss  0.640393, Time  0.460698
2021-09-07 03:36:52.469220 : Epoch  2, Batch    189, Loss  0.638854, Average Loss  0.640389, Time  0.461492
2021-09-07 03:36:54.327271 : Epoch  2, Batch    190, Loss  0.642596, Average Loss  0.640448, Time  0.460882
2021-09-07 03:36:56.194167 : Epoch  2, Batch    191, Loss  0.629847, Average Loss  0.640383, Time  0.460968
2021-09-07 03:36:58.082479 : Epoch  2, Batch    192, Loss  0.638251, Average Loss  0.640394, Time  0.461314
2021-09-07 03:36:59.941485 : Epoch  2, Batch    193, Loss  0.636321, Average Loss  0.640429, Time  0.461430
2021-09-07 03:37:01.812932 : Epoch  2, Batch    194, Loss  0.643675, Average Loss  0.640434, Time  0.461022
2021-09-07 03:37:03.668067 : Epoch  2, Batch    195, Loss  0.628782, Average Loss  0.640418, Time  0.460857
2021-09-07 03:37:05.535033 : Epoch  2, Batch    196, Loss  0.632204, Average Loss  0.640383, Time  0.461568
2021-09-07 03:37:07.420521 : Epoch  2, Batch    197, Loss  0.645054, Average Loss  0.640412, Time  0.462088
2021-09-07 03:37:09.303422 : Epoch  2, Batch    198, Loss  0.633585, Average Loss  0.640393, Time  0.462541
2021-09-07 03:37:11.189098 : Epoch  2, Batch    199, Loss  0.636790, Average Loss  0.640421, Time  0.461180
2021-09-07 03:37:13.051862 : Epoch  2, Batch    200, Loss  0.641603, Average Loss  0.640401, Time  0.461136
2021-09-07 03:37:14.939502 : Epoch  2, Batch    201, Loss  0.645084, Average Loss  0.640419, Time  0.461142
2021-09-07 03:37:16.806080 : Epoch  2, Batch    202, Loss  0.629948, Average Loss  0.640334, Time  0.462288
2021-09-07 03:37:18.707632 : Epoch  2, Batch    203, Loss  0.633973, Average Loss  0.640287, Time  0.463233
2021-09-07 03:37:20.573153 : Epoch  2, Batch    204, Loss  0.635238, Average Loss  0.640289, Time  0.462024
2021-09-07 03:37:22.455493 : Epoch  2, Batch    205, Loss  0.634497, Average Loss  0.640225, Time  0.460710
2021-09-07 03:37:24.318899 : Epoch  2, Batch    206, Loss  0.630807, Average Loss  0.640139, Time  0.461676
2021-09-07 03:37:26.204464 : Epoch  2, Batch    207, Loss  0.640914, Average Loss  0.640112, Time  0.461779
2021-09-07 03:37:28.095332 : Epoch  2, Batch    208, Loss  0.646173, Average Loss  0.640146, Time  0.461872
2021-09-07 03:37:29.982341 : Epoch  2, Batch    209, Loss  0.641662, Average Loss  0.640164, Time  0.460967
2021-09-07 03:37:31.856691 : Epoch  2, Batch    210, Loss  0.640498, Average Loss  0.640146, Time  0.461917
2021-09-07 03:37:33.754844 : Epoch  2, Batch    211, Loss  0.647955, Average Loss  0.640153, Time  0.461952
2021-09-07 03:37:35.637071 : Epoch  2, Batch    212, Loss  0.634130, Average Loss  0.640123, Time  0.461778
2021-09-07 03:37:39.588554 : Epoch  2, Batch    213, Loss  0.640446, Average Loss  0.640130, Time  0.474204
2021-09-07 03:38:43.311803 : CheckPoint: Validation Loss  0.00026360, Best Loss  0.00026035
2021-09-07 03:38:45.215872 : Epoch  2, Batch    214, Loss  0.633941, Average Loss  0.640106, Time  0.461779
2021-09-07 03:38:47.098189 : Epoch  2, Batch    215, Loss  0.630370, Average Loss  0.640098, Time  0.461301
2021-09-07 03:38:48.990036 : Epoch  2, Batch    216, Loss  0.643210, Average Loss  0.640092, Time  0.461764
2021-09-07 03:38:50.873128 : Epoch  2, Batch    217, Loss  0.642070, Average Loss  0.640092, Time  0.462223
2021-09-07 03:38:52.758459 : Epoch  2, Batch    218, Loss  0.628277, Average Loss  0.640017, Time  0.461482
2021-09-07 03:38:54.634076 : Epoch  2, Batch    219, Loss  0.644530, Average Loss  0.640047, Time  0.461062
2021-09-07 03:38:56.500504 : Epoch  2, Batch    220, Loss  0.626675, Average Loss  0.639978, Time  0.460921
2021-09-07 03:38:58.387093 : Epoch  2, Batch    221, Loss  0.642351, Average Loss  0.640008, Time  0.461572
2021-09-07 03:39:00.258767 : Epoch  2, Batch    222, Loss  0.634903, Average Loss  0.639994, Time  0.461503
2021-09-07 03:39:02.134041 : Epoch  2, Batch    223, Loss  0.643711, Average Loss  0.639999, Time  0.460858
2021-09-07 03:39:04.004398 : Epoch  2, Batch    224, Loss  0.638899, Average Loss  0.639971, Time  0.460585
2021-09-07 03:39:05.887701 : Epoch  2, Batch    225, Loss  0.629626, Average Loss  0.639837, Time  0.460810
2021-09-07 03:39:07.756522 : Epoch  2, Batch    226, Loss  0.633817, Average Loss  0.639810, Time  0.461117
2021-09-07 03:39:09.631906 : Epoch  2, Batch    227, Loss  0.645203, Average Loss  0.639868, Time  0.461611
2021-09-07 03:39:11.503810 : Epoch  2, Batch    228, Loss  0.632812, Average Loss  0.639867, Time  0.462087
2021-09-07 03:39:13.384365 : Epoch  2, Batch    229, Loss  0.634649, Average Loss  0.639876, Time  0.460968
2021-09-07 03:39:15.258003 : Epoch  2, Batch    230, Loss  0.642870, Average Loss  0.639884, Time  0.462048
2021-09-07 03:39:17.147569 : Epoch  2, Batch    231, Loss  0.634065, Average Loss  0.639847, Time  0.461401
2021-09-07 03:39:19.027411 : Epoch  2, Batch    232, Loss  0.640381, Average Loss  0.639884, Time  0.461055
2021-09-07 03:39:20.912718 : Epoch  2, Batch    233, Loss  0.634618, Average Loss  0.639835, Time  0.462057
2021-09-07 03:39:22.792120 : Epoch  2, Batch    234, Loss  0.631364, Average Loss  0.639773, Time  0.461160
2021-09-07 03:39:24.661067 : Epoch  2, Batch    235, Loss  0.644177, Average Loss  0.639782, Time  0.461206
2021-09-07 03:39:26.541163 : Epoch  2, Batch    236, Loss  0.633539, Average Loss  0.639722, Time  0.461934
2021-09-07 03:39:28.417188 : Epoch  2, Batch    237, Loss  0.637193, Average Loss  0.639733, Time  0.460778
2021-09-07 03:39:30.305339 : Epoch  2, Batch    238, Loss  0.652869, Average Loss  0.639792, Time  0.462789
2021-09-07 03:39:32.190531 : Epoch  2, Batch    239, Loss  0.633420, Average Loss  0.639698, Time  0.461379
2021-09-07 03:39:34.079607 : Epoch  2, Batch    240, Loss  0.635558, Average Loss  0.639607, Time  0.461826
2021-09-07 03:39:35.959161 : Epoch  2, Batch    241, Loss  0.644551, Average Loss  0.639615, Time  0.461147
2021-09-07 03:39:37.829274 : Epoch  2, Batch    242, Loss  0.626017, Average Loss  0.639555, Time  0.462178
2021-09-07 03:39:39.714064 : Epoch  2, Batch    243, Loss  0.639402, Average Loss  0.639558, Time  0.460658
2021-09-07 03:39:41.579798 : Epoch  2, Batch    244, Loss  0.634335, Average Loss  0.639504, Time  0.461509
2021-09-07 03:39:43.451128 : Epoch  2, Batch    245, Loss  0.630945, Average Loss  0.639502, Time  0.460750
2021-09-07 03:39:45.328025 : Epoch  2, Batch    246, Loss  0.640017, Average Loss  0.639552, Time  0.463100
2021-09-07 03:39:47.201027 : Epoch  2, Batch    247, Loss  0.636578, Average Loss  0.639522, Time  0.460821
2021-09-07 03:39:49.064343 : Epoch  2, Batch    248, Loss  0.648862, Average Loss  0.639599, Time  0.462075
2021-09-07 03:39:50.951203 : Epoch  2, Batch    249, Loss  0.635822, Average Loss  0.639592, Time  0.462185
2021-09-07 03:39:52.826698 : Epoch  2, Batch    250, Loss  0.634701, Average Loss  0.639570, Time  0.461124
2021-09-07 03:39:54.694915 : Epoch  2, Batch    251, Loss  0.643793, Average Loss  0.639615, Time  0.461981
2021-09-07 03:39:56.595268 : Epoch  2, Batch    252, Loss  0.635044, Average Loss  0.639634, Time  0.461944
2021-09-07 03:39:58.468219 : Epoch  2, Batch    253, Loss  0.632149, Average Loss  0.639560, Time  0.461349
2021-09-07 03:40:00.339476 : Epoch  2, Batch    254, Loss  0.641207, Average Loss  0.639537, Time  0.461133
2021-09-07 03:40:02.212341 : Epoch  2, Batch    255, Loss  0.635863, Average Loss  0.639519, Time  0.461760
2021-09-07 03:40:04.098535 : Epoch  2, Batch    256, Loss  0.638073, Average Loss  0.639488, Time  0.461522
2021-09-07 03:40:05.992887 : Epoch  2, Batch    257, Loss  0.639017, Average Loss  0.639448, Time  0.461721
2021-09-07 03:40:07.885891 : Epoch  2, Batch    258, Loss  0.640306, Average Loss  0.639449, Time  0.461982
2021-09-07 03:40:09.776140 : Epoch  2, Batch    259, Loss  0.640921, Average Loss  0.639455, Time  0.462119
2021-09-07 03:40:11.667379 : Epoch  2, Batch    260, Loss  0.641396, Average Loss  0.639495, Time  0.460667
2021-09-07 03:40:13.537843 : Epoch  2, Batch    261, Loss  0.642328, Average Loss  0.639464, Time  0.460712
2021-09-07 03:40:15.407944 : Epoch  2, Batch    262, Loss  0.636657, Average Loss  0.639429, Time  0.460920
2021-09-07 03:40:17.289444 : Epoch  2, Batch    263, Loss  0.635830, Average Loss  0.639384, Time  0.461963
2021-09-07 03:40:19.168670 : Epoch  2, Batch    264, Loss  0.636288, Average Loss  0.639350, Time  0.460810
2021-09-07 03:40:21.036146 : Epoch  2, Batch    265, Loss  0.631736, Average Loss  0.639251, Time  0.461977
2021-09-07 03:40:22.916856 : Epoch  2, Batch    266, Loss  0.638152, Average Loss  0.639234, Time  0.461071
2021-09-07 03:40:24.791008 : Epoch  2, Batch    267, Loss  0.633624, Average Loss  0.639223, Time  0.460486
2021-09-07 03:40:26.660797 : Epoch  2, Batch    268, Loss  0.635114, Average Loss  0.639271, Time  0.461239
2021-09-07 03:40:28.539712 : Epoch  2, Batch    269, Loss  0.635236, Average Loss  0.639232, Time  0.460427
2021-09-07 03:40:30.422985 : Epoch  2, Batch    270, Loss  0.633393, Average Loss  0.639145, Time  0.460680
2021-09-07 03:40:32.304346 : Epoch  2, Batch    271, Loss  0.629514, Average Loss  0.639116, Time  0.462225
2021-09-07 03:40:34.182806 : Epoch  2, Batch    272, Loss  0.630893, Average Loss  0.639060, Time  0.460871
2021-09-07 03:40:36.054084 : Epoch  2, Batch    273, Loss  0.632789, Average Loss  0.639033, Time  0.462768
2021-09-07 03:40:37.925548 : Epoch  2, Batch    274, Loss  0.647478, Average Loss  0.639124, Time  0.462189
2021-09-07 03:40:39.800810 : Epoch  2, Batch    275, Loss  0.626496, Average Loss  0.639021, Time  0.460648
2021-09-07 03:40:41.683153 : Epoch  2, Batch    276, Loss  0.635586, Average Loss  0.638994, Time  0.462199
2021-09-07 03:40:43.570390 : Epoch  2, Batch    277, Loss  0.627298, Average Loss  0.638931, Time  0.461442
2021-09-07 03:40:45.460649 : Epoch  2, Batch    278, Loss  0.624472, Average Loss  0.638831, Time  0.462059
2021-09-07 03:40:47.372860 : Epoch  2, Batch    279, Loss  0.628930, Average Loss  0.638785, Time  0.460291
2021-09-07 03:40:49.245052 : Epoch  2, Batch    280, Loss  0.640157, Average Loss  0.638822, Time  0.461445
2021-09-07 03:40:51.107015 : Epoch  2, Batch    281, Loss  0.637863, Average Loss  0.638798, Time  0.461137
2021-09-07 03:40:52.979014 : Epoch  2, Batch    282, Loss  0.629858, Average Loss  0.638699, Time  0.461591
2021-09-07 03:40:54.849708 : Epoch  2, Batch    283, Loss  0.637648, Average Loss  0.638706, Time  0.461252
2021-09-07 03:40:58.785197 : Epoch  2, Batch    284, Loss  0.636068, Average Loss  0.638670, Time  0.474538
2021-09-07 03:41:00.669077 : Epoch  2, Batch    285, Loss  0.652083, Average Loss  0.638683, Time  0.462052
2021-09-07 03:41:02.535502 : Epoch  2, Batch    286, Loss  0.632584, Average Loss  0.638596, Time  0.460809
2021-09-07 03:41:04.405358 : Epoch  2, Batch    287, Loss  0.641641, Average Loss  0.638598, Time  0.462213
2021-09-07 03:41:06.274633 : Epoch  2, Batch    288, Loss  0.628324, Average Loss  0.638486, Time  0.463021
2021-09-07 03:41:08.145424 : Epoch  2, Batch    289, Loss  0.640525, Average Loss  0.638469, Time  0.461417
2021-09-07 03:41:10.026462 : Epoch  2, Batch    290, Loss  0.626227, Average Loss  0.638387, Time  0.460737
2021-09-07 03:41:11.917146 : Epoch  2, Batch    291, Loss  0.625532, Average Loss  0.638315, Time  0.459930
2021-09-07 03:41:13.793234 : Epoch  2, Batch    292, Loss  0.631802, Average Loss  0.638215, Time  0.460838
2021-09-07 03:41:15.668452 : Epoch  2, Batch    293, Loss  0.624118, Average Loss  0.638147, Time  0.461732
2021-09-07 03:41:17.559193 : Epoch  2, Batch    294, Loss  0.629441, Average Loss  0.638090, Time  0.461749
2021-09-07 03:41:19.449774 : Epoch  2, Batch    295, Loss  0.629326, Average Loss  0.638037, Time  0.461528
2021-09-07 03:41:21.332209 : Epoch  2, Batch    296, Loss  0.635229, Average Loss  0.638027, Time  0.461137
2021-09-07 03:41:23.201516 : Epoch  2, Batch    297, Loss  0.633960, Average Loss  0.637978, Time  0.460351
2021-09-07 03:41:25.077624 : Epoch  2, Batch    298, Loss  0.626557, Average Loss  0.637940, Time  0.462123
2021-09-07 03:41:26.971509 : Epoch  2, Batch    299, Loss  0.630929, Average Loss  0.637842, Time  0.461810
2021-09-07 03:41:28.846168 : Epoch  2, Batch    300, Loss  0.636822, Average Loss  0.637881, Time  0.462435
2021-09-07 03:41:30.735178 : Epoch  2, Batch    301, Loss  0.632366, Average Loss  0.637817, Time  0.461362
2021-09-07 03:41:32.603094 : Epoch  2, Batch    302, Loss  0.631689, Average Loss  0.637784, Time  0.460900
2021-09-07 03:41:34.480400 : Epoch  2, Batch    303, Loss  0.638344, Average Loss  0.637821, Time  0.461131
2021-09-07 03:41:36.361214 : Epoch  2, Batch    304, Loss  0.627074, Average Loss  0.637761, Time  0.461360
2021-09-07 03:41:38.253326 : Epoch  2, Batch    305, Loss  0.635939, Average Loss  0.637699, Time  0.461786
2021-09-07 03:41:40.139443 : Epoch  2, Batch    306, Loss  0.624625, Average Loss  0.637595, Time  0.460875
2021-09-07 03:41:42.020825 : Epoch  2, Batch    307, Loss  0.626399, Average Loss  0.637523, Time  0.461441
2021-09-07 03:41:43.893149 : Epoch  2, Batch    308, Loss  0.624179, Average Loss  0.637453, Time  0.460572
2021-09-07 03:41:45.764191 : Epoch  2, Batch    309, Loss  0.624824, Average Loss  0.637353, Time  0.460964
2021-09-07 03:41:47.633261 : Epoch  2, Batch    310, Loss  0.622811, Average Loss  0.637262, Time  0.461839
2021-09-07 03:41:49.520241 : Epoch  2, Batch    311, Loss  0.631849, Average Loss  0.637218, Time  0.461003
2021-09-07 03:41:51.383147 : Epoch  2, Batch    312, Loss  0.623472, Average Loss  0.637141, Time  0.461029
2021-09-07 03:41:53.257184 : Epoch  2, Batch    313, Loss  0.625782, Average Loss  0.637104, Time  0.461287
2021-09-07 03:42:57.631229 : CheckPoint: Validation Loss  0.00026588, Best Loss  0.00026035
2021-09-07 03:42:59.525749 : Epoch  2, Batch    314, Loss  0.628497, Average Loss  0.637043, Time  0.462418
2021-09-07 03:43:01.410333 : Epoch  2, Batch    315, Loss  0.626866, Average Loss  0.636947, Time  0.460844
2021-09-07 03:43:03.277842 : Epoch  2, Batch    316, Loss  0.613434, Average Loss  0.636803, Time  0.460180
2021-09-07 03:43:05.147067 : Epoch  2, Batch    317, Loss  0.612060, Average Loss  0.636663, Time  0.460660
2021-09-07 03:43:07.016733 : Epoch  2, Batch    318, Loss  0.617209, Average Loss  0.636515, Time  0.460664
2021-09-07 03:43:08.884788 : Epoch  2, Batch    319, Loss  0.630602, Average Loss  0.636416, Time  0.460337
2021-09-07 03:43:10.755140 : Epoch  2, Batch    320, Loss  0.614581, Average Loss  0.636278, Time  0.462712
2021-09-07 03:43:12.644885 : Epoch  2, Batch    321, Loss  0.625897, Average Loss  0.636194, Time  0.461730
2021-09-07 03:43:14.533559 : Epoch  2, Batch    322, Loss  0.620182, Average Loss  0.636143, Time  0.461453
2021-09-07 03:43:16.410650 : Epoch  2, Batch    323, Loss  0.620264, Average Loss  0.636068, Time  0.459968
2021-09-07 03:43:18.281590 : Epoch  2, Batch    324, Loss  0.632060, Average Loss  0.635999, Time  0.461480
2021-09-07 03:43:20.155621 : Epoch  2, Batch    325, Loss  0.625727, Average Loss  0.635882, Time  0.461526
2021-09-07 03:43:22.036347 : Epoch  2, Batch    326, Loss  0.631437, Average Loss  0.635812, Time  0.461590
2021-09-07 03:43:23.925085 : Epoch  2, Batch    327, Loss  0.632403, Average Loss  0.635751, Time  0.461304
2021-09-07 03:43:25.801142 : Epoch  2, Batch    328, Loss  0.629373, Average Loss  0.635711, Time  0.460531
2021-09-07 03:43:27.678496 : Epoch  2, Batch    329, Loss  0.621431, Average Loss  0.635615, Time  0.463025
2021-09-07 03:43:29.559509 : Epoch  2, Batch    330, Loss  0.628461, Average Loss  0.635580, Time  0.460704
2021-09-07 03:43:31.445236 : Epoch  2, Batch    331, Loss  0.614915, Average Loss  0.635426, Time  0.461261
2021-09-07 03:43:33.318662 : Epoch  2, Batch    332, Loss  0.627152, Average Loss  0.635409, Time  0.462560
2021-09-07 03:43:35.202536 : Epoch  2, Batch    333, Loss  0.620067, Average Loss  0.635337, Time  0.461987
2021-09-07 03:43:37.079935 : Epoch  2, Batch    334, Loss  0.629833, Average Loss  0.635304, Time  0.461133
2021-09-07 03:43:38.949907 : Epoch  2, Batch    335, Loss  0.633281, Average Loss  0.635279, Time  0.460731
2021-09-07 03:43:40.828427 : Epoch  2, Batch    336, Loss  0.630527, Average Loss  0.635221, Time  0.461806
2021-09-07 03:43:41.021922 : Epoch  2, Batch    337, Loss  0.640336, Average Loss  0.635204, Time  0.159359
2021-09-07 03:43:42.917458 : Epoch  2, Batch    338, Loss  0.626295, Average Loss  0.635154, Time  0.461725
2021-09-07 03:43:44.802153 : Epoch  2, Batch    339, Loss  0.623570, Average Loss  0.635093, Time  0.461532
2021-09-07 03:43:46.678981 : Epoch  2, Batch    340, Loss  0.633371, Average Loss  0.635038, Time  0.461266
2021-09-07 03:43:48.562371 : Epoch  2, Batch    341, Loss  0.640162, Average Loss  0.635072, Time  0.461075
2021-09-07 03:43:50.450238 : Epoch  2, Batch    342, Loss  0.626123, Average Loss  0.635001, Time  0.461628
2021-09-07 03:43:52.345609 : Epoch  2, Batch    343, Loss  0.627571, Average Loss  0.634987, Time  0.461066
2021-09-07 03:43:54.235075 : Epoch  2, Batch    344, Loss  0.625401, Average Loss  0.634856, Time  0.461697
2021-09-07 03:43:56.122534 : Epoch  2, Batch    345, Loss  0.616241, Average Loss  0.634774, Time  0.461134
2021-09-07 03:43:57.989517 : Epoch  2, Batch    346, Loss  0.636208, Average Loss  0.634779, Time  0.461374
2021-09-07 03:43:59.872671 : Epoch  2, Batch    347, Loss  0.635121, Average Loss  0.634707, Time  0.460301
2021-09-07 03:44:01.750977 : Epoch  2, Batch    348, Loss  0.633484, Average Loss  0.634693, Time  0.461507
2021-09-07 03:44:03.627019 : Epoch  2, Batch    349, Loss  0.632747, Average Loss  0.634630, Time  0.461079
2021-09-07 03:44:05.489310 : Epoch  2, Batch    350, Loss  0.635279, Average Loss  0.634611, Time  0.460675
2021-09-07 03:44:07.352157 : Epoch  2, Batch    351, Loss  0.632583, Average Loss  0.634525, Time  0.460629
2021-09-07 03:44:09.235642 : Epoch  2, Batch    352, Loss  0.627730, Average Loss  0.634428, Time  0.461622
2021-09-07 03:44:11.124182 : Epoch  2, Batch    353, Loss  0.606187, Average Loss  0.634263, Time  0.462081
2021-09-07 03:44:13.000498 : Epoch  2, Batch    354, Loss  0.623948, Average Loss  0.634198, Time  0.460305
2021-09-07 03:44:14.867681 : Epoch  2, Batch    355, Loss  0.622124, Average Loss  0.634109, Time  0.460425
2021-09-07 03:44:16.732881 : Epoch  2, Batch    356, Loss  0.620372, Average Loss  0.634016, Time  0.461740
2021-09-07 03:44:18.615390 : Epoch  2, Batch    357, Loss  0.628435, Average Loss  0.633985, Time  0.460674
2021-09-07 03:44:20.482460 : Epoch  2, Batch    358, Loss  0.624168, Average Loss  0.633882, Time  0.460814
2021-09-07 03:44:22.357104 : Epoch  2, Batch    359, Loss  0.622417, Average Loss  0.633877, Time  0.461092
2021-09-07 03:44:24.244681 : Epoch  2, Batch    360, Loss  0.612145, Average Loss  0.633796, Time  0.460713
2021-09-07 03:44:26.132928 : Epoch  2, Batch    361, Loss  0.629374, Average Loss  0.633745, Time  0.461268
2021-09-07 03:44:28.002535 : Epoch  2, Batch    362, Loss  0.621982, Average Loss  0.633662, Time  0.461849
2021-09-07 03:44:29.900563 : Epoch  2, Batch    363, Loss  0.625276, Average Loss  0.633543, Time  0.462264
2021-09-07 03:44:31.783552 : Epoch  2, Batch    364, Loss  0.624401, Average Loss  0.633524, Time  0.460572
2021-09-07 03:44:33.653618 : Epoch  2, Batch    365, Loss  0.635448, Average Loss  0.633549, Time  0.461006
2021-09-07 03:44:35.549482 : Epoch  2, Batch    366, Loss  0.633578, Average Loss  0.633518, Time  0.461520
2021-09-07 03:44:37.434295 : Epoch  2, Batch    367, Loss  0.616182, Average Loss  0.633401, Time  0.461829
2021-09-07 03:44:39.326476 : Epoch  2, Batch    368, Loss  0.630535, Average Loss  0.633338, Time  0.461502
2021-09-07 03:44:41.211525 : Epoch  2, Batch    369, Loss  0.622115, Average Loss  0.633272, Time  0.461402
2021-09-07 03:44:43.086303 : Epoch  2, Batch    370, Loss  0.621698, Average Loss  0.633200, Time  0.460984
2021-09-07 03:44:44.955077 : Epoch  2, Batch    371, Loss  0.624017, Average Loss  0.633136, Time  0.460806
2021-09-07 03:44:46.820959 : Epoch  2, Batch    372, Loss  0.621912, Average Loss  0.633083, Time  0.461562
2021-09-07 03:44:48.692515 : Epoch  2, Batch    373, Loss  0.610986, Average Loss  0.632954, Time  0.460537
2021-09-07 03:44:50.568192 : Epoch  2, Batch    374, Loss  0.623402, Average Loss  0.632828, Time  0.461099
2021-09-07 03:44:52.434288 : Epoch  2, Batch    375, Loss  0.629938, Average Loss  0.632770, Time  0.461377
2021-09-07 03:44:54.324162 : Epoch  2, Batch    376, Loss  0.618567, Average Loss  0.632622, Time  0.463478
2021-09-07 03:44:56.203495 : Epoch  2, Batch    377, Loss  0.613149, Average Loss  0.632486, Time  0.461234
2021-09-07 03:44:58.066101 : Epoch  2, Batch    378, Loss  0.632674, Average Loss  0.632442, Time  0.461561
2021-09-07 03:44:59.958340 : Epoch  2, Batch    379, Loss  0.629712, Average Loss  0.632408, Time  0.460972
2021-09-07 03:45:01.836246 : Epoch  2, Batch    380, Loss  0.625771, Average Loss  0.632371, Time  0.460570
2021-09-07 03:45:03.697020 : Epoch  2, Batch    381, Loss  0.626907, Average Loss  0.632287, Time  0.461572
2021-09-07 03:45:05.558422 : Epoch  2, Batch    382, Loss  0.617057, Average Loss  0.632144, Time  0.460716
2021-09-07 03:45:07.412991 : Epoch  2, Batch    383, Loss  0.619106, Average Loss  0.632066, Time  0.463033
2021-09-07 03:45:09.314838 : Epoch  2, Batch    384, Loss  0.623077, Average Loss  0.631990, Time  0.461270
2021-09-07 03:45:13.250529 : Epoch  2, Batch    385, Loss  0.631792, Average Loss  0.631913, Time  0.476267
2021-09-07 03:45:15.107413 : Epoch  2, Batch    386, Loss  0.614266, Average Loss  0.631788, Time  0.461880
2021-09-07 03:45:16.986782 : Epoch  2, Batch    387, Loss  0.624541, Average Loss  0.631694, Time  0.462529
2021-09-07 03:45:18.864580 : Epoch  2, Batch    388, Loss  0.618774, Average Loss  0.631577, Time  0.462113
2021-09-07 03:45:20.725314 : Epoch  2, Batch    389, Loss  0.634987, Average Loss  0.631557, Time  0.461712
2021-09-07 03:45:22.603086 : Epoch  2, Batch    390, Loss  0.619296, Average Loss  0.631441, Time  0.461733
2021-09-07 03:45:24.477894 : Epoch  2, Batch    391, Loss  0.630062, Average Loss  0.631442, Time  0.461843
2021-09-07 03:45:26.358449 : Epoch  2, Batch    392, Loss  0.619641, Average Loss  0.631349, Time  0.461331
2021-09-07 03:45:28.218472 : Epoch  2, Batch    393, Loss  0.629334, Average Loss  0.631314, Time  0.460898
2021-09-07 03:45:30.113856 : Epoch  2, Batch    394, Loss  0.633352, Average Loss  0.631262, Time  0.461523
2021-09-07 03:45:31.980504 : Epoch  2, Batch    395, Loss  0.635794, Average Loss  0.631298, Time  0.460263
2021-09-07 03:45:33.842504 : Epoch  2, Batch    396, Loss  0.626783, Average Loss  0.631270, Time  0.461474
2021-09-07 03:45:35.699299 : Epoch  2, Batch    397, Loss  0.622594, Average Loss  0.631158, Time  0.461037
2021-09-07 03:45:37.570380 : Epoch  2, Batch    398, Loss  0.628434, Average Loss  0.631132, Time  0.460517
2021-09-07 03:45:39.426335 : Epoch  2, Batch    399, Loss  0.623829, Average Loss  0.631068, Time  0.460433
2021-09-07 03:45:41.288253 : Epoch  2, Batch    400, Loss  0.620240, Average Loss  0.630961, Time  0.461855
2021-09-07 03:45:43.153954 : Epoch  2, Batch    401, Loss  0.617760, Average Loss  0.630824, Time  0.460898
2021-09-07 03:45:45.023167 : Epoch  2, Batch    402, Loss  0.623063, Average Loss  0.630790, Time  0.461930
2021-09-07 03:45:46.888368 : Epoch  2, Batch    403, Loss  0.622407, Average Loss  0.630732, Time  0.461683
2021-09-07 03:45:48.752779 : Epoch  2, Batch    404, Loss  0.617149, Average Loss  0.630641, Time  0.460645
2021-09-07 03:45:50.613529 : Epoch  2, Batch    405, Loss  0.611306, Average Loss  0.630525, Time  0.460299
2021-09-07 03:45:52.484736 : Epoch  2, Batch    406, Loss  0.615678, Average Loss  0.630450, Time  0.462593
2021-09-07 03:45:54.380718 : Epoch  2, Batch    407, Loss  0.627021, Average Loss  0.630380, Time  0.463279
2021-09-07 03:45:56.245161 : Epoch  2, Batch    408, Loss  0.611382, Average Loss  0.630206, Time  0.460642
2021-09-07 03:45:58.119208 : Epoch  2, Batch    409, Loss  0.630621, Average Loss  0.630151, Time  0.461680
2021-09-07 03:46:00.015652 : Epoch  2, Batch    410, Loss  0.617804, Average Loss  0.630038, Time  0.461420
2021-09-07 03:46:01.918445 : Epoch  2, Batch    411, Loss  0.613003, Average Loss  0.629863, Time  0.461531
2021-09-07 03:46:03.797849 : Epoch  2, Batch    412, Loss  0.625172, Average Loss  0.629818, Time  0.460631
2021-09-07 03:46:05.658653 : Epoch  2, Batch    413, Loss  0.613106, Average Loss  0.629681, Time  0.460952
2021-09-07 03:47:09.973547 : CheckPoint: Validation Loss  0.00026225, Best Loss  0.00026035
2021-09-07 03:47:11.881132 : Epoch  2, Batch    414, Loss  0.632048, Average Loss  0.629672, Time  0.462052
2021-09-07 03:47:13.796635 : Epoch  2, Batch    415, Loss  0.614661, Average Loss  0.629593, Time  0.461418
2021-09-07 03:47:15.664433 : Epoch  2, Batch    416, Loss  0.622913, Average Loss  0.629492, Time  0.460492
2021-09-07 03:47:17.530812 : Epoch  2, Batch    417, Loss  0.617354, Average Loss  0.629368, Time  0.461951
2021-09-07 03:47:19.409164 : Epoch  2, Batch    418, Loss  0.616382, Average Loss  0.629309, Time  0.460792
2021-09-07 03:47:21.281611 : Epoch  2, Batch    419, Loss  0.618494, Average Loss  0.629179, Time  0.463661
2021-09-07 03:47:23.159124 : Epoch  2, Batch    420, Loss  0.616125, Average Loss  0.629126, Time  0.460830
2021-09-07 03:47:25.014217 : Epoch  2, Batch    421, Loss  0.620307, Average Loss  0.629016, Time  0.461082
2021-09-07 03:47:26.872580 : Epoch  2, Batch    422, Loss  0.631261, Average Loss  0.628998, Time  0.461056
2021-09-07 03:47:28.741811 : Epoch  2, Batch    423, Loss  0.612044, Average Loss  0.628839, Time  0.461668
2021-09-07 03:47:30.619915 : Epoch  2, Batch    424, Loss  0.617147, Average Loss  0.628730, Time  0.460490
2021-09-07 03:47:32.476132 : Epoch  2, Batch    425, Loss  0.622252, Average Loss  0.628694, Time  0.463565
2021-09-07 03:47:34.370884 : Epoch  2, Batch    426, Loss  0.612532, Average Loss  0.628587, Time  0.461532
2021-09-07 03:47:36.262997 : Epoch  2, Batch    427, Loss  0.612135, Average Loss  0.628422, Time  0.461273
2021-09-07 03:47:38.124444 : Epoch  2, Batch    428, Loss  0.607757, Average Loss  0.628297, Time  0.460987
2021-09-07 03:47:39.999941 : Epoch  2, Batch    429, Loss  0.625475, Average Loss  0.628251, Time  0.460768
2021-09-07 03:47:41.868241 : Epoch  2, Batch    430, Loss  0.615039, Average Loss  0.628112, Time  0.460944
2021-09-07 03:47:43.726429 : Epoch  2, Batch    431, Loss  0.631622, Average Loss  0.628099, Time  0.461719
2021-09-07 03:47:45.615974 : Epoch  2, Batch    432, Loss  0.623413, Average Loss  0.628014, Time  0.461241
2021-09-07 03:47:47.474213 : Epoch  2, Batch    433, Loss  0.613026, Average Loss  0.627906, Time  0.460722
2021-09-07 03:47:49.332816 : Epoch  2, Batch    434, Loss  0.621037, Average Loss  0.627855, Time  0.462582
2021-09-07 03:47:51.192175 : Epoch  2, Batch    435, Loss  0.621771, Average Loss  0.627743, Time  0.461127
2021-09-07 03:47:53.052819 : Epoch  2, Batch    436, Loss  0.617194, Average Loss  0.627661, Time  0.461488
2021-09-07 03:47:54.921964 : Epoch  2, Batch    437, Loss  0.619939, Average Loss  0.627575, Time  0.461268
2021-09-07 03:47:56.803754 : Epoch  2, Batch    438, Loss  0.612869, Average Loss  0.627375, Time  0.461564
2021-09-07 03:47:58.666212 : Epoch  2, Batch    439, Loss  0.617492, Average Loss  0.627295, Time  0.461099
2021-09-07 03:48:00.538591 : Epoch  2, Batch    440, Loss  0.624653, Average Loss  0.627241, Time  0.461657
2021-09-07 03:48:02.414944 : Epoch  2, Batch    441, Loss  0.612024, Average Loss  0.627078, Time  0.461575
2021-09-07 03:48:04.287759 : Epoch  2, Batch    442, Loss  0.627551, Average Loss  0.627086, Time  0.461757
2021-09-07 03:48:06.161269 : Epoch  2, Batch    443, Loss  0.632950, Average Loss  0.627053, Time  0.462427
2021-09-07 03:48:08.025338 : Epoch  2, Batch    444, Loss  0.618257, Average Loss  0.626973, Time  0.461022
2021-09-07 03:48:09.882687 : Epoch  2, Batch    445, Loss  0.616726, Average Loss  0.626902, Time  0.461258
2021-09-07 03:48:11.761740 : Epoch  2, Batch    446, Loss  0.625774, Average Loss  0.626831, Time  0.461345
2021-09-07 03:48:13.633835 : Epoch  2, Batch    447, Loss  0.616494, Average Loss  0.626730, Time  0.460859
2021-09-07 03:48:15.512487 : Epoch  2, Batch    448, Loss  0.615761, Average Loss  0.626565, Time  0.460448
2021-09-07 03:48:17.369136 : Epoch  2, Batch    449, Loss  0.610874, Average Loss  0.626440, Time  0.460526
2021-09-07 03:48:19.226305 : Epoch  2, Batch    450, Loss  0.633992, Average Loss  0.626437, Time  0.460187
2021-09-07 03:48:21.088779 : Epoch  2, Batch    451, Loss  0.616222, Average Loss  0.626299, Time  0.460894
2021-09-07 03:48:22.965339 : Epoch  2, Batch    452, Loss  0.620204, Average Loss  0.626224, Time  0.461494
2021-09-07 03:48:24.823719 : Epoch  2, Batch    453, Loss  0.619615, Average Loss  0.626162, Time  0.461247
2021-09-07 03:48:26.686015 : Epoch  2, Batch    454, Loss  0.618917, Average Loss  0.626050, Time  0.461891
2021-09-07 03:48:28.558649 : Epoch  2, Batch    455, Loss  0.616488, Average Loss  0.625953, Time  0.461710
2021-09-07 03:48:30.437126 : Epoch  2, Batch    456, Loss  0.609927, Average Loss  0.625813, Time  0.461608
2021-09-07 03:48:32.329938 : Epoch  2, Batch    457, Loss  0.615103, Average Loss  0.625693, Time  0.462054
2021-09-07 03:48:34.202130 : Epoch  2, Batch    458, Loss  0.627083, Average Loss  0.625627, Time  0.460743
2021-09-07 03:48:36.070296 : Epoch  2, Batch    459, Loss  0.616017, Average Loss  0.625503, Time  0.460974
2021-09-07 03:48:37.937639 : Epoch  2, Batch    460, Loss  0.613258, Average Loss  0.625362, Time  0.460789
2021-09-07 03:48:39.796357 : Epoch  2, Batch    461, Loss  0.607133, Average Loss  0.625186, Time  0.462351
2021-09-07 03:48:41.656808 : Epoch  2, Batch    462, Loss  0.616119, Average Loss  0.625083, Time  0.461265
2021-09-07 03:48:43.521804 : Epoch  2, Batch    463, Loss  0.613871, Average Loss  0.624973, Time  0.461584
2021-09-07 03:48:45.405871 : Epoch  2, Batch    464, Loss  0.607923, Average Loss  0.624832, Time  0.462823
2021-09-07 03:48:47.269482 : Epoch  2, Batch    465, Loss  0.614410, Average Loss  0.624745, Time  0.461623
2021-09-07 03:48:49.146834 : Epoch  2, Batch    466, Loss  0.615740, Average Loss  0.624633, Time  0.461957
2021-09-07 03:48:51.028031 : Epoch  2, Batch    467, Loss  0.615528, Average Loss  0.624542, Time  0.460829
2021-09-07 03:48:52.898805 : Epoch  2, Batch    468, Loss  0.620499, Average Loss  0.624469, Time  0.461031
2021-09-07 03:48:54.765306 : Epoch  2, Batch    469, Loss  0.609689, Average Loss  0.624342, Time  0.461000
2021-09-07 03:48:56.653735 : Epoch  2, Batch    470, Loss  0.614055, Average Loss  0.624245, Time  0.461887
2021-09-07 03:48:58.539531 : Epoch  2, Batch    471, Loss  0.628123, Average Loss  0.624238, Time  0.461861
2021-09-07 03:49:00.420343 : Epoch  2, Batch    472, Loss  0.617518, Average Loss  0.624171, Time  0.461707
2021-09-07 03:49:02.316993 : Epoch  2, Batch    473, Loss  0.609339, Average Loss  0.624054, Time  0.461359
2021-09-07 03:49:04.199179 : Epoch  2, Batch    474, Loss  0.611343, Average Loss  0.623873, Time  0.461302
2021-09-07 03:49:06.057633 : Epoch  2, Batch    475, Loss  0.627491, Average Loss  0.623878, Time  0.460990
2021-09-07 03:49:07.916387 : Epoch  2, Batch    476, Loss  0.628754, Average Loss  0.623844, Time  0.460515
2021-09-07 03:49:09.793998 : Epoch  2, Batch    477, Loss  0.608665, Average Loss  0.623751, Time  0.462158
2021-09-07 03:49:11.667232 : Epoch  2, Batch    478, Loss  0.617835, Average Loss  0.623718, Time  0.461274
2021-09-07 03:49:13.525872 : Epoch  2, Batch    479, Loss  0.617681, Average Loss  0.623661, Time  0.460745
2021-09-07 03:49:15.386899 : Epoch  2, Batch    480, Loss  0.605644, Average Loss  0.623489, Time  0.460953
2021-09-07 03:49:17.249471 : Epoch  2, Batch    481, Loss  0.610050, Average Loss  0.623350, Time  0.461015
2021-09-07 03:49:19.134310 : Epoch  2, Batch    482, Loss  0.605305, Average Loss  0.623227, Time  0.461978
2021-09-07 03:49:20.999279 : Epoch  2, Batch    483, Loss  0.609087, Average Loss  0.623084, Time  0.461478
2021-09-07 03:49:24.919051 : Epoch  2, Batch    484, Loss  0.610834, Average Loss  0.622958, Time  0.477693
2021-09-07 03:49:26.781024 : Epoch  2, Batch    485, Loss  0.615767, Average Loss  0.622776, Time  0.461264
2021-09-07 03:49:28.635636 : Epoch  2, Batch    486, Loss  0.632933, Average Loss  0.622778, Time  0.461025
2021-09-07 03:49:30.500785 : Epoch  2, Batch    487, Loss  0.616894, Average Loss  0.622654, Time  0.462004
2021-09-07 03:49:32.377383 : Epoch  2, Batch    488, Loss  0.604656, Average Loss  0.622536, Time  0.461061
2021-09-07 03:49:34.232179 : Epoch  2, Batch    489, Loss  0.635469, Average Loss  0.622511, Time  0.461309
2021-09-07 03:49:36.107738 : Epoch  2, Batch    490, Loss  0.613925, Average Loss  0.622449, Time  0.461511
2021-09-07 03:49:37.995946 : Epoch  2, Batch    491, Loss  0.612718, Average Loss  0.622385, Time  0.461828
2021-09-07 03:49:39.883932 : Epoch  2, Batch    492, Loss  0.616536, Average Loss  0.622309, Time  0.461302
2021-09-07 03:49:41.774077 : Epoch  2, Batch    493, Loss  0.615142, Average Loss  0.622264, Time  0.461283
2021-09-07 03:49:43.651073 : Epoch  2, Batch    494, Loss  0.611802, Average Loss  0.622176, Time  0.461727
2021-09-07 03:49:45.544331 : Epoch  2, Batch    495, Loss  0.611328, Average Loss  0.622086, Time  0.462053
2021-09-07 03:49:47.426998 : Epoch  2, Batch    496, Loss  0.617056, Average Loss  0.621995, Time  0.460810
2021-09-07 03:49:49.306845 : Epoch  2, Batch    497, Loss  0.619140, Average Loss  0.621921, Time  0.462533
2021-09-07 03:49:51.183695 : Epoch  2, Batch    498, Loss  0.622192, Average Loss  0.621899, Time  0.460645
2021-09-07 03:49:53.062022 : Epoch  2, Batch    499, Loss  0.613256, Average Loss  0.621811, Time  0.461176
2021-09-07 03:49:54.945390 : Epoch  2, Batch    500, Loss  0.625516, Average Loss  0.621754, Time  0.460892
2021-09-07 03:49:56.819035 : Epoch  2, Batch    501, Loss  0.632113, Average Loss  0.621753, Time  0.461974
2021-09-07 03:49:58.719796 : Epoch  2, Batch    502, Loss  0.604643, Average Loss  0.621618, Time  0.462067
2021-09-07 03:50:00.602685 : Epoch  2, Batch    503, Loss  0.620812, Average Loss  0.621530, Time  0.460914
2021-09-07 03:50:02.478251 : Epoch  2, Batch    504, Loss  0.609918, Average Loss  0.621444, Time  0.461627
2021-09-07 03:50:04.345670 : Epoch  2, Batch    505, Loss  0.619577, Average Loss  0.621362, Time  0.460670
2021-09-07 03:50:06.225521 : Epoch  2, Batch    506, Loss  0.623892, Average Loss  0.621359, Time  0.461051
2021-09-07 03:50:08.103715 : Epoch  2, Batch    507, Loss  0.621932, Average Loss  0.621336, Time  0.461095
2021-09-07 03:50:09.976234 : Epoch  2, Batch    508, Loss  0.608890, Average Loss  0.621260, Time  0.460996
2021-09-07 03:50:11.857368 : Epoch  2, Batch    509, Loss  0.608429, Average Loss  0.621178, Time  0.463015
2021-09-07 03:50:13.741471 : Epoch  2, Batch    510, Loss  0.609276, Average Loss  0.621110, Time  0.462617
2021-09-07 03:50:15.631846 : Epoch  2, Batch    511, Loss  0.621573, Average Loss  0.621059, Time  0.461525
2021-09-07 03:50:17.507749 : Epoch  2, Batch    512, Loss  0.624374, Average Loss  0.621063, Time  0.461319
2021-09-07 03:50:19.384513 : Epoch  2, Batch    513, Loss  0.629515, Average Loss  0.621082, Time  0.461166
2021-09-07 03:51:23.584628 : CheckPoint: Validation Loss  0.00025692, Best Loss  0.00025692
2021-09-07 03:51:23.612493 : Best Model Updated
2021-09-07 03:51:28.944726 : Epoch  2, Batch    514, Loss  0.633775, Average Loss  0.621109, Time  0.475273
2021-09-07 03:51:30.828111 : Epoch  2, Batch    515, Loss  0.615752, Average Loss  0.621053, Time  0.461339
2021-09-07 03:51:32.702508 : Epoch  2, Batch    516, Loss  0.621098, Average Loss  0.621091, Time  0.460690
2021-09-07 03:51:34.591672 : Epoch  2, Batch    517, Loss  0.611263, Average Loss  0.621087, Time  0.461532
2021-09-07 03:51:36.464037 : Epoch  2, Batch    518, Loss  0.596616, Average Loss  0.620984, Time  0.461511
2021-09-07 03:51:38.341481 : Epoch  2, Batch    519, Loss  0.617588, Average Loss  0.620919, Time  0.461843
2021-09-07 03:51:40.228669 : Epoch  2, Batch    520, Loss  0.597604, Average Loss  0.620834, Time  0.460841
2021-09-07 03:51:42.104087 : Epoch  2, Batch    521, Loss  0.618544, Average Loss  0.620798, Time  0.461666
2021-09-07 03:51:43.970255 : Epoch  2, Batch    522, Loss  0.624799, Average Loss  0.620821, Time  0.460538
2021-09-07 03:51:45.839306 : Epoch  2, Batch    523, Loss  0.615627, Average Loss  0.620797, Time  0.461753
2021-09-07 03:51:47.722522 : Epoch  2, Batch    524, Loss  0.614919, Average Loss  0.620712, Time  0.463230
2021-09-07 03:51:49.611270 : Epoch  2, Batch    525, Loss  0.610769, Average Loss  0.620637, Time  0.461130
2021-09-07 03:51:51.489253 : Epoch  2, Batch    526, Loss  0.609024, Average Loss  0.620525, Time  0.461167
2021-09-07 03:51:53.357107 : Epoch  2, Batch    527, Loss  0.613659, Average Loss  0.620431, Time  0.461385
2021-09-07 03:51:55.220978 : Epoch  2, Batch    528, Loss  0.610910, Average Loss  0.620339, Time  0.460485
2021-09-07 03:51:57.099849 : Epoch  2, Batch    529, Loss  0.622155, Average Loss  0.620343, Time  0.460696
2021-09-07 03:51:58.967726 : Epoch  2, Batch    530, Loss  0.606224, Average Loss  0.620231, Time  0.461727
2021-09-07 03:52:00.839082 : Epoch  2, Batch    531, Loss  0.614806, Average Loss  0.620231, Time  0.462590
2021-09-07 03:52:02.738890 : Epoch  2, Batch    532, Loss  0.619764, Average Loss  0.620194, Time  0.461957
2021-09-07 03:52:04.612828 : Epoch  2, Batch    533, Loss  0.611738, Average Loss  0.620152, Time  0.461706
2021-09-07 03:52:06.500097 : Epoch  2, Batch    534, Loss  0.600129, Average Loss  0.620004, Time  0.461741
2021-09-07 03:52:08.377898 : Epoch  2, Batch    535, Loss  0.617235, Average Loss  0.619923, Time  0.460856
2021-09-07 03:52:10.246793 : Epoch  2, Batch    536, Loss  0.610739, Average Loss  0.619824, Time  0.460771
2021-09-07 03:52:12.127382 : Epoch  2, Batch    537, Loss  0.616873, Average Loss  0.619707, Time  0.461157
2021-09-07 03:52:14.018015 : Epoch  2, Batch    538, Loss  0.622388, Average Loss  0.619688, Time  0.461927
2021-09-07 03:52:15.891393 : Epoch  2, Batch    539, Loss  0.608274, Average Loss  0.619611, Time  0.461139
2021-09-07 03:52:17.772248 : Epoch  2, Batch    540, Loss  0.613335, Average Loss  0.619511, Time  0.462747
2021-09-07 03:52:19.658085 : Epoch  2, Batch    541, Loss  0.602174, Average Loss  0.619321, Time  0.460700
2021-09-07 03:52:21.539761 : Epoch  2, Batch    542, Loss  0.610589, Average Loss  0.619243, Time  0.462168
2021-09-07 03:52:23.426005 : Epoch  2, Batch    543, Loss  0.611732, Average Loss  0.619164, Time  0.461195
2021-09-07 03:52:25.303710 : Epoch  2, Batch    544, Loss  0.600288, Average Loss  0.619039, Time  0.461946
2021-09-07 03:52:27.170345 : Epoch  2, Batch    545, Loss  0.618626, Average Loss  0.619051, Time  0.461725
2021-09-07 03:52:29.047342 : Epoch  2, Batch    546, Loss  0.615000, Average Loss  0.618944, Time  0.461200
2021-09-07 03:52:30.936672 : Epoch  2, Batch    547, Loss  0.621956, Average Loss  0.618879, Time  0.461702
2021-09-07 03:52:32.829081 : Epoch  2, Batch    548, Loss  0.608700, Average Loss  0.618755, Time  0.462306
2021-09-07 03:52:34.701297 : Epoch  2, Batch    549, Loss  0.597941, Average Loss  0.618581, Time  0.461093
2021-09-07 03:52:36.584011 : Epoch  2, Batch    550, Loss  0.603316, Average Loss  0.618421, Time  0.460769
2021-09-07 03:52:38.453566 : Epoch  2, Batch    551, Loss  0.617952, Average Loss  0.618348, Time  0.461624
2021-09-07 03:52:40.322187 : Epoch  2, Batch    552, Loss  0.607912, Average Loss  0.618249, Time  0.461170
2021-09-07 03:52:42.202812 : Epoch  2, Batch    553, Loss  0.617692, Average Loss  0.618306, Time  0.461514
2021-09-07 03:52:44.082499 : Epoch  2, Batch    554, Loss  0.608522, Average Loss  0.618229, Time  0.460602
2021-09-07 03:52:45.952828 : Epoch  2, Batch    555, Loss  0.618395, Average Loss  0.618210, Time  0.461048
2021-09-07 03:52:47.825075 : Epoch  2, Batch    556, Loss  0.591450, Average Loss  0.618066, Time  0.461690
2021-09-07 03:52:49.717160 : Epoch  2, Batch    557, Loss  0.620194, Average Loss  0.618025, Time  0.461256
2021-09-07 03:52:51.587091 : Epoch  2, Batch    558, Loss  0.603065, Average Loss  0.617919, Time  0.461380
2021-09-07 03:52:53.474843 : Epoch  2, Batch    559, Loss  0.603564, Average Loss  0.617825, Time  0.462769
2021-09-07 03:52:55.358456 : Epoch  2, Batch    560, Loss  0.601546, Average Loss  0.617772, Time  0.462110
2021-09-07 03:52:57.235506 : Epoch  2, Batch    561, Loss  0.605584, Average Loss  0.617653, Time  0.460799
2021-09-07 03:52:59.123876 : Epoch  2, Batch    562, Loss  0.610297, Average Loss  0.617594, Time  0.462327
2021-09-07 03:53:01.014560 : Epoch  2, Batch    563, Loss  0.600884, Average Loss  0.617472, Time  0.461296
2021-09-07 03:53:02.900472 : Epoch  2, Batch    564, Loss  0.618681, Average Loss  0.617444, Time  0.461957
2021-09-07 03:53:04.791372 : Epoch  2, Batch    565, Loss  0.609688, Average Loss  0.617315, Time  0.462351
2021-09-07 03:53:06.681646 : Epoch  2, Batch    566, Loss  0.597932, Average Loss  0.617137, Time  0.461502
2021-09-07 03:53:08.569608 : Epoch  2, Batch    567, Loss  0.604936, Average Loss  0.617081, Time  0.460603
2021-09-07 03:53:10.439036 : Epoch  2, Batch    568, Loss  0.607315, Average Loss  0.616965, Time  0.463187
2021-09-07 03:53:12.328407 : Epoch  2, Batch    569, Loss  0.607212, Average Loss  0.616890, Time  0.461126
2021-09-07 03:53:14.209696 : Epoch  2, Batch    570, Loss  0.610158, Average Loss  0.616832, Time  0.460535
2021-09-07 03:53:16.098052 : Epoch  2, Batch    571, Loss  0.610263, Average Loss  0.616764, Time  0.460702
2021-09-07 03:53:17.974778 : Epoch  2, Batch    572, Loss  0.602018, Average Loss  0.616664, Time  0.461575
2021-09-07 03:53:19.854300 : Epoch  2, Batch    573, Loss  0.611151, Average Loss  0.616665, Time  0.460906
2021-09-07 03:53:21.719797 : Epoch  2, Batch    574, Loss  0.602544, Average Loss  0.616561, Time  0.462455
2021-09-07 03:53:23.582202 : Epoch  2, Batch    575, Loss  0.620356, Average Loss  0.616513, Time  0.460846
2021-09-07 03:53:25.447527 : Epoch  2, Batch    576, Loss  0.609163, Average Loss  0.616466, Time  0.460681
2021-09-07 03:53:27.319683 : Epoch  2, Batch    577, Loss  0.606068, Average Loss  0.616430, Time  0.460957
2021-09-07 03:53:29.188127 : Epoch  2, Batch    578, Loss  0.603195, Average Loss  0.616283, Time  0.460430
2021-09-07 03:53:31.055711 : Epoch  2, Batch    579, Loss  0.612279, Average Loss  0.616196, Time  0.462666
2021-09-07 03:53:32.918057 : Epoch  2, Batch    580, Loss  0.604721, Average Loss  0.616090, Time  0.460688
2021-09-07 03:53:34.783642 : Epoch  2, Batch    581, Loss  0.597033, Average Loss  0.615941, Time  0.460626
2021-09-07 03:53:36.659948 : Epoch  2, Batch    582, Loss  0.611956, Average Loss  0.615916, Time  0.462376
2021-09-07 03:53:38.575403 : Epoch  2, Batch    583, Loss  0.607162, Average Loss  0.615856, Time  0.462230
2021-09-07 03:53:42.550919 : Epoch  2, Batch    584, Loss  0.609377, Average Loss  0.615787, Time  0.471652
2021-09-07 03:53:44.432390 : Epoch  2, Batch    585, Loss  0.612810, Average Loss  0.615692, Time  0.461540
2021-09-07 03:53:46.297271 : Epoch  2, Batch    586, Loss  0.601937, Average Loss  0.615631, Time  0.461879
2021-09-07 03:53:48.194997 : Epoch  2, Batch    587, Loss  0.618116, Average Loss  0.615599, Time  0.461775
2021-09-07 03:53:50.093522 : Epoch  2, Batch    588, Loss  0.610597, Average Loss  0.615558, Time  0.461645
2021-09-07 03:53:51.966889 : Epoch  2, Batch    589, Loss  0.596661, Average Loss  0.615366, Time  0.461273
2021-09-07 03:53:53.848964 : Epoch  2, Batch    590, Loss  0.601037, Average Loss  0.615275, Time  0.461256
2021-09-07 03:53:55.754391 : Epoch  2, Batch    591, Loss  0.609234, Average Loss  0.615171, Time  0.461667
2021-09-07 03:53:57.643748 : Epoch  2, Batch    592, Loss  0.608221, Average Loss  0.615114, Time  0.460639
2021-09-07 03:53:59.519306 : Epoch  2, Batch    593, Loss  0.617547, Average Loss  0.615055, Time  0.461250
2021-09-07 03:54:01.387383 : Epoch  2, Batch    594, Loss  0.605547, Average Loss  0.614916, Time  0.461096
2021-09-07 03:54:03.279510 : Epoch  2, Batch    595, Loss  0.605766, Average Loss  0.614766, Time  0.461980
2021-09-07 03:54:05.166176 : Epoch  2, Batch    596, Loss  0.602246, Average Loss  0.614643, Time  0.460868
2021-09-07 03:54:07.033377 : Epoch  2, Batch    597, Loss  0.614994, Average Loss  0.614605, Time  0.462069
2021-09-07 03:54:08.916531 : Epoch  2, Batch    598, Loss  0.609584, Average Loss  0.614511, Time  0.462313
2021-09-07 03:54:10.787325 : Epoch  2, Batch    599, Loss  0.607201, Average Loss  0.614427, Time  0.461252
2021-09-07 03:54:12.663938 : Epoch  2, Batch    600, Loss  0.602546, Average Loss  0.614339, Time  0.461687
2021-09-07 03:54:14.543336 : Epoch  2, Batch    601, Loss  0.603981, Average Loss  0.614270, Time  0.461754
2021-09-07 03:54:16.424187 : Epoch  2, Batch    602, Loss  0.610166, Average Loss  0.614206, Time  0.460779
2021-09-07 03:54:18.298497 : Epoch  2, Batch    603, Loss  0.602130, Average Loss  0.614104, Time  0.460681
2021-09-07 03:54:20.162521 : Epoch  2, Batch    604, Loss  0.605853, Average Loss  0.614048, Time  0.460875
2021-09-07 03:54:22.044082 : Epoch  2, Batch    605, Loss  0.605033, Average Loss  0.614016, Time  0.462362
2021-09-07 03:54:23.924558 : Epoch  2, Batch    606, Loss  0.595767, Average Loss  0.613917, Time  0.461394
2021-09-07 03:54:25.809572 : Epoch  2, Batch    607, Loss  0.618017, Average Loss  0.613872, Time  0.460388
2021-09-07 03:54:27.672443 : Epoch  2, Batch    608, Loss  0.594056, Average Loss  0.613785, Time  0.460823
2021-09-07 03:54:29.536142 : Epoch  2, Batch    609, Loss  0.611214, Average Loss  0.613688, Time  0.460956
2021-09-07 03:54:31.408326 : Epoch  2, Batch    610, Loss  0.597172, Average Loss  0.613585, Time  0.460679
2021-09-07 03:54:33.291988 : Epoch  2, Batch    611, Loss  0.608327, Average Loss  0.613562, Time  0.461710
2021-09-07 03:54:35.175043 : Epoch  2, Batch    612, Loss  0.604959, Average Loss  0.613461, Time  0.461039
2021-09-07 03:54:37.041130 : Epoch  2, Batch    613, Loss  0.603647, Average Loss  0.613413, Time  0.461788
2021-09-07 03:55:41.196166 : CheckPoint: Validation Loss  0.00026059, Best Loss  0.00025692
2021-09-07 03:55:43.099841 : Epoch  2, Batch    614, Loss  0.598994, Average Loss  0.613248, Time  0.461844
2021-09-07 03:55:44.986856 : Epoch  2, Batch    615, Loss  0.600409, Average Loss  0.613177, Time  0.461066
2021-09-07 03:55:46.862805 : Epoch  2, Batch    616, Loss  0.593437, Average Loss  0.613029, Time  0.461342
2021-09-07 03:55:48.752455 : Epoch  2, Batch    617, Loss  0.600145, Average Loss  0.612943, Time  0.461687
2021-09-07 03:55:50.643471 : Epoch  2, Batch    618, Loss  0.604589, Average Loss  0.612884, Time  0.460849
2021-09-07 03:55:52.518289 : Epoch  2, Batch    619, Loss  0.597641, Average Loss  0.612780, Time  0.460997
2021-09-07 03:55:54.394034 : Epoch  2, Batch    620, Loss  0.599097, Average Loss  0.612695, Time  0.460387
2021-09-07 03:55:56.271042 : Epoch  2, Batch    621, Loss  0.605191, Average Loss  0.612619, Time  0.461627
2021-09-07 03:55:58.137210 : Epoch  2, Batch    622, Loss  0.613934, Average Loss  0.612533, Time  0.461591
2021-09-07 03:56:00.026150 : Epoch  2, Batch    623, Loss  0.602014, Average Loss  0.612483, Time  0.460959
2021-09-07 03:56:01.898007 : Epoch  2, Batch    624, Loss  0.594803, Average Loss  0.612371, Time  0.461703
2021-09-07 03:56:03.769672 : Epoch  2, Batch    625, Loss  0.608160, Average Loss  0.612300, Time  0.460886
2021-09-07 03:56:05.647049 : Epoch  2, Batch    626, Loss  0.595946, Average Loss  0.612217, Time  0.461562
2021-09-07 03:56:07.531231 : Epoch  2, Batch    627, Loss  0.601818, Average Loss  0.612166, Time  0.462389
2021-09-07 03:56:09.412018 : Epoch  2, Batch    628, Loss  0.598438, Average Loss  0.612119, Time  0.461433
2021-09-07 03:56:11.303410 : Epoch  2, Batch    629, Loss  0.610120, Average Loss  0.612043, Time  0.460532
2021-09-07 03:56:13.175255 : Epoch  2, Batch    630, Loss  0.603821, Average Loss  0.611986, Time  0.461076
2021-09-07 03:56:15.048529 : Epoch  2, Batch    631, Loss  0.601237, Average Loss  0.611834, Time  0.461143
2021-09-07 03:56:16.948340 : Epoch  2, Batch    632, Loss  0.598542, Average Loss  0.611710, Time  0.461774
2021-09-07 03:56:18.833949 : Epoch  2, Batch    633, Loss  0.600147, Average Loss  0.611646, Time  0.460891
2021-09-07 03:56:20.703511 : Epoch  2, Batch    634, Loss  0.591531, Average Loss  0.611498, Time  0.460739
2021-09-07 03:56:22.580488 : Epoch  2, Batch    635, Loss  0.597442, Average Loss  0.611377, Time  0.461005
2021-09-07 03:56:24.471959 : Epoch  2, Batch    636, Loss  0.603085, Average Loss  0.611306, Time  0.460714
2021-09-07 03:56:26.352876 : Epoch  2, Batch    637, Loss  0.602283, Average Loss  0.611218, Time  0.461653
2021-09-07 03:56:28.241106 : Epoch  2, Batch    638, Loss  0.603556, Average Loss  0.611171, Time  0.460366
2021-09-07 03:56:30.121725 : Epoch  2, Batch    639, Loss  0.602540, Average Loss  0.611096, Time  0.460823
2021-09-07 03:56:32.019231 : Epoch  2, Batch    640, Loss  0.610275, Average Loss  0.611025, Time  0.461264
2021-09-07 03:56:33.922027 : Epoch  2, Batch    641, Loss  0.592237, Average Loss  0.610926, Time  0.460923
2021-09-07 03:56:35.807018 : Epoch  2, Batch    642, Loss  0.593507, Average Loss  0.610755, Time  0.461318
2021-09-07 03:56:37.678842 : Epoch  2, Batch    643, Loss  0.600223, Average Loss  0.610592, Time  0.461660
2021-09-07 03:56:39.550663 : Epoch  2, Batch    644, Loss  0.604461, Average Loss  0.610523, Time  0.461231
2021-09-07 03:56:41.423553 : Epoch  2, Batch    645, Loss  0.609466, Average Loss  0.610486, Time  0.460973
2021-09-07 03:56:43.309191 : Epoch  2, Batch    646, Loss  0.597443, Average Loss  0.610345, Time  0.461207
2021-09-07 03:56:45.181431 : Epoch  2, Batch    647, Loss  0.607464, Average Loss  0.610300, Time  0.460393
2021-09-07 03:56:47.067609 : Epoch  2, Batch    648, Loss  0.600990, Average Loss  0.610226, Time  0.460740
2021-09-07 03:56:48.956948 : Epoch  2, Batch    649, Loss  0.594558, Average Loss  0.610144, Time  0.461632
2021-09-07 03:56:50.853328 : Epoch  2, Batch    650, Loss  0.601995, Average Loss  0.609984, Time  0.462327
2021-09-07 03:56:52.755827 : Epoch  2, Batch    651, Loss  0.606069, Average Loss  0.609933, Time  0.461027
2021-09-07 03:56:54.646289 : Epoch  2, Batch    652, Loss  0.603746, Average Loss  0.609851, Time  0.461363
2021-09-07 03:56:56.557177 : Epoch  2, Batch    653, Loss  0.608295, Average Loss  0.609795, Time  0.462145
2021-09-07 03:56:58.449843 : Epoch  2, Batch    654, Loss  0.601085, Average Loss  0.609705, Time  0.461199
2021-09-07 03:57:00.340379 : Epoch  2, Batch    655, Loss  0.586591, Average Loss  0.609556, Time  0.461645
2021-09-07 03:57:02.232156 : Epoch  2, Batch    656, Loss  0.596400, Average Loss  0.609488, Time  0.461508
2021-09-07 03:57:04.111398 : Epoch  2, Batch    657, Loss  0.606950, Average Loss  0.609448, Time  0.460581
2021-09-07 03:57:06.008995 : Epoch  2, Batch    658, Loss  0.609330, Average Loss  0.609359, Time  0.461586
2021-09-07 03:57:07.889141 : Epoch  2, Batch    659, Loss  0.585531, Average Loss  0.609206, Time  0.460084
2021-09-07 03:57:09.765482 : Epoch  2, Batch    660, Loss  0.604041, Average Loss  0.609160, Time  0.460982
2021-09-07 03:57:11.646372 : Epoch  2, Batch    661, Loss  0.609818, Average Loss  0.609174, Time  0.461440
2021-09-07 03:57:13.521821 : Epoch  2, Batch    662, Loss  0.605023, Average Loss  0.609118, Time  0.461177
2021-09-07 03:57:15.416371 : Epoch  2, Batch    663, Loss  0.602963, Average Loss  0.609064, Time  0.461930
2021-09-07 03:57:17.316876 : Epoch  2, Batch    664, Loss  0.591921, Average Loss  0.608984, Time  0.462892
2021-09-07 03:57:19.210693 : Epoch  2, Batch    665, Loss  0.599490, Average Loss  0.608909, Time  0.461046
2021-09-07 03:57:21.089651 : Epoch  2, Batch    666, Loss  0.602266, Average Loss  0.608842, Time  0.461966
2021-09-07 03:57:22.971343 : Epoch  2, Batch    667, Loss  0.613051, Average Loss  0.608829, Time  0.461135
2021-09-07 03:57:24.851351 : Epoch  2, Batch    668, Loss  0.610963, Average Loss  0.608782, Time  0.460946
2021-09-07 03:57:26.737758 : Epoch  2, Batch    669, Loss  0.602730, Average Loss  0.608747, Time  0.461655
2021-09-07 03:57:28.614129 : Epoch  2, Batch    670, Loss  0.597435, Average Loss  0.608664, Time  0.461504
2021-09-07 03:57:30.494713 : Epoch  2, Batch    671, Loss  0.598954, Average Loss  0.608518, Time  0.460926
2021-09-07 03:57:32.364665 : Epoch  2, Batch    672, Loss  0.599863, Average Loss  0.608430, Time  0.460863
2021-09-07 03:57:34.247399 : Epoch  2, Batch    673, Loss  0.611498, Average Loss  0.608440, Time  0.462672
2021-09-07 03:57:36.138968 : Epoch  2, Batch    674, Loss  0.601297, Average Loss  0.608390, Time  0.461752
2021-09-07 03:57:38.028397 : Epoch  2, Batch    675, Loss  0.592460, Average Loss  0.608215, Time  0.462124
2021-09-07 03:57:39.905668 : Epoch  2, Batch    676, Loss  0.592044, Average Loss  0.608031, Time  0.460855
2021-09-07 03:57:41.800537 : Epoch  2, Batch    677, Loss  0.592883, Average Loss  0.607953, Time  0.461450
2021-09-07 03:57:43.668188 : Epoch  2, Batch    678, Loss  0.601969, Average Loss  0.607873, Time  0.460754
2021-09-07 03:57:45.558165 : Epoch  2, Batch    679, Loss  0.603083, Average Loss  0.607800, Time  0.460705
2021-09-07 03:57:47.449464 : Epoch  2, Batch    680, Loss  0.601791, Average Loss  0.607781, Time  0.461921
2021-09-07 03:57:49.344359 : Epoch  2, Batch    681, Loss  0.604347, Average Loss  0.607752, Time  0.462238
2021-09-07 03:57:51.218369 : Epoch  2, Batch    682, Loss  0.589205, Average Loss  0.607672, Time  0.461102
2021-09-07 03:57:53.095415 : Epoch  2, Batch    683, Loss  0.599529, Average Loss  0.607624, Time  0.461657
2021-09-07 03:57:57.065939 : Epoch  2, Batch    684, Loss  0.597799, Average Loss  0.607559, Time  0.472685
2021-09-07 03:57:58.937009 : Epoch  2, Batch    685, Loss  0.603660, Average Loss  0.607498, Time  0.460993
2021-09-07 03:58:00.815119 : Epoch  2, Batch    686, Loss  0.610842, Average Loss  0.607388, Time  0.460763
2021-09-07 03:58:02.685143 : Epoch  2, Batch    687, Loss  0.606500, Average Loss  0.607336, Time  0.461323
2021-09-07 03:58:04.558450 : Epoch  2, Batch    688, Loss  0.588142, Average Loss  0.607253, Time  0.460838
2021-09-07 03:58:06.431785 : Epoch  2, Batch    689, Loss  0.598246, Average Loss  0.607067, Time  0.461054
2021-09-07 03:58:08.311722 : Epoch  2, Batch    690, Loss  0.585162, Average Loss  0.606924, Time  0.461722
2021-09-07 03:58:10.204826 : Epoch  2, Batch    691, Loss  0.597061, Average Loss  0.606845, Time  0.461928
2021-09-07 03:58:12.108473 : Epoch  2, Batch    692, Loss  0.598931, Average Loss  0.606757, Time  0.461164
2021-09-07 03:58:14.009091 : Epoch  2, Batch    693, Loss  0.616986, Average Loss  0.606766, Time  0.461173
2021-09-07 03:58:15.880764 : Epoch  2, Batch    694, Loss  0.604476, Average Loss  0.606730, Time  0.460750
2021-09-07 03:58:17.760961 : Epoch  2, Batch    695, Loss  0.590365, Average Loss  0.606625, Time  0.460593
2021-09-07 03:58:19.630765 : Epoch  2, Batch    696, Loss  0.592499, Average Loss  0.606502, Time  0.461822
2021-09-07 03:58:21.509254 : Epoch  2, Batch    697, Loss  0.597163, Average Loss  0.606392, Time  0.464025
2021-09-07 03:58:23.387979 : Epoch  2, Batch    698, Loss  0.604279, Average Loss  0.606303, Time  0.460913
2021-09-07 03:58:25.261250 : Epoch  2, Batch    699, Loss  0.598028, Average Loss  0.606227, Time  0.461332
2021-09-07 03:58:27.141314 : Epoch  2, Batch    700, Loss  0.609488, Average Loss  0.606146, Time  0.461306
2021-09-07 03:58:29.020805 : Epoch  2, Batch    701, Loss  0.597372, Average Loss  0.605973, Time  0.460888
2021-09-07 03:58:30.901914 : Epoch  2, Batch    702, Loss  0.593828, Average Loss  0.605919, Time  0.461563
2021-09-07 03:58:32.793249 : Epoch  2, Batch    703, Loss  0.603019, Average Loss  0.605830, Time  0.461025
2021-09-07 03:58:34.676826 : Epoch  2, Batch    704, Loss  0.601881, Average Loss  0.605790, Time  0.460751
2021-09-07 03:58:36.561382 : Epoch  2, Batch    705, Loss  0.604288, Average Loss  0.605713, Time  0.461939
2021-09-07 03:58:38.436759 : Epoch  2, Batch    706, Loss  0.593014, Average Loss  0.605559, Time  0.461079
2021-09-07 03:58:40.314672 : Epoch  2, Batch    707, Loss  0.598277, Average Loss  0.605440, Time  0.461524
2021-09-07 03:58:42.182471 : Epoch  2, Batch    708, Loss  0.593979, Average Loss  0.605366, Time  0.461690
2021-09-07 03:58:44.076247 : Epoch  2, Batch    709, Loss  0.605343, Average Loss  0.605350, Time  0.460928
2021-09-07 03:58:45.969760 : Epoch  2, Batch    710, Loss  0.599826, Average Loss  0.605303, Time  0.460704
2021-09-07 03:58:47.855526 : Epoch  2, Batch    711, Loss  0.598592, Average Loss  0.605188, Time  0.461727
2021-09-07 03:58:49.753699 : Epoch  2, Batch    712, Loss  0.599651, Average Loss  0.605065, Time  0.461919
2021-09-07 03:58:51.648138 : Epoch  2, Batch    713, Loss  0.589704, Average Loss  0.604866, Time  0.461004
2021-09-07 03:59:55.879157 : CheckPoint: Validation Loss  0.00024605, Best Loss  0.00024605
2021-09-07 03:59:55.902909 : Best Model Updated
2021-09-07 04:00:00.512813 : Epoch  2, Batch    714, Loss  0.590773, Average Loss  0.604651, Time  0.475357
2021-09-07 04:00:02.421324 : Epoch  2, Batch    715, Loss  0.609113, Average Loss  0.604617, Time  0.461320
2021-09-07 04:00:04.294658 : Epoch  2, Batch    716, Loss  0.599860, Average Loss  0.604511, Time  0.461893
2021-09-07 04:00:06.181929 : Epoch  2, Batch    717, Loss  0.596295, Average Loss  0.604436, Time  0.462052
2021-09-07 04:00:08.050471 : Epoch  2, Batch    718, Loss  0.602866, Average Loss  0.604468, Time  0.462739
2021-09-07 04:00:09.963103 : Epoch  2, Batch    719, Loss  0.593824, Average Loss  0.604349, Time  0.461221
2021-09-07 04:00:11.849414 : Epoch  2, Batch    720, Loss  0.599314, Average Loss  0.604357, Time  0.461703
2021-09-07 04:00:13.725741 : Epoch  2, Batch    721, Loss  0.611831, Average Loss  0.604324, Time  0.461129
2021-09-07 04:00:15.590301 : Epoch  2, Batch    722, Loss  0.607364, Average Loss  0.604237, Time  0.460946
2021-09-07 04:00:17.451214 : Epoch  2, Batch    723, Loss  0.590728, Average Loss  0.604112, Time  0.460251
2021-09-07 04:00:19.325339 : Epoch  2, Batch    724, Loss  0.599762, Average Loss  0.604036, Time  0.460169
2021-09-07 04:00:21.181138 : Epoch  2, Batch    725, Loss  0.597239, Average Loss  0.603969, Time  0.461575
2021-09-07 04:00:23.050304 : Epoch  2, Batch    726, Loss  0.602820, Average Loss  0.603938, Time  0.460593
2021-09-07 04:00:24.920844 : Epoch  2, Batch    727, Loss  0.591412, Average Loss  0.603826, Time  0.461091
2021-09-07 04:00:26.794539 : Epoch  2, Batch    728, Loss  0.600598, Average Loss  0.603775, Time  0.461043
2021-09-07 04:00:28.663820 : Epoch  2, Batch    729, Loss  0.596515, Average Loss  0.603647, Time  0.462513
2021-09-07 04:00:30.531209 : Epoch  2, Batch    730, Loss  0.608794, Average Loss  0.603660, Time  0.460976
2021-09-07 04:00:32.391568 : Epoch  2, Batch    731, Loss  0.606747, Average Loss  0.603619, Time  0.460823
2021-09-07 04:00:34.256798 : Epoch  2, Batch    732, Loss  0.587006, Average Loss  0.603455, Time  0.460965
2021-09-07 04:00:36.144332 : Epoch  2, Batch    733, Loss  0.592630, Average Loss  0.603360, Time  0.461548
2021-09-07 04:00:38.022409 : Epoch  2, Batch    734, Loss  0.599582, Average Loss  0.603357, Time  0.461272
2021-09-07 04:00:39.894990 : Epoch  2, Batch    735, Loss  0.594607, Average Loss  0.603244, Time  0.460997
2021-09-07 04:00:41.769619 : Epoch  2, Batch    736, Loss  0.605507, Average Loss  0.603218, Time  0.461153
2021-09-07 04:00:43.630223 : Epoch  2, Batch    737, Loss  0.589048, Average Loss  0.603079, Time  0.460874
2021-09-07 04:00:45.490436 : Epoch  2, Batch    738, Loss  0.594716, Average Loss  0.602940, Time  0.461864
2021-09-07 04:00:47.371901 : Epoch  2, Batch    739, Loss  0.598824, Average Loss  0.602893, Time  0.461048
2021-09-07 04:00:49.232818 : Epoch  2, Batch    740, Loss  0.588241, Average Loss  0.602768, Time  0.461272
2021-09-07 04:00:51.104191 : Epoch  2, Batch    741, Loss  0.598100, Average Loss  0.602747, Time  0.462418
2021-09-07 04:00:52.983566 : Epoch  2, Batch    742, Loss  0.592294, Average Loss  0.602656, Time  0.461084
2021-09-07 04:00:54.882637 : Epoch  2, Batch    743, Loss  0.596184, Average Loss  0.602578, Time  0.461929
2021-09-07 04:00:56.744422 : Epoch  2, Batch    744, Loss  0.603449, Average Loss  0.602594, Time  0.460791
2021-09-07 04:00:58.603177 : Epoch  2, Batch    745, Loss  0.580166, Average Loss  0.602402, Time  0.461816
2021-09-07 04:01:00.530463 : Epoch  2, Batch    746, Loss  0.609846, Average Loss  0.602376, Time  0.463446
2021-09-07 04:01:02.446274 : Epoch  2, Batch    747, Loss  0.592270, Average Loss  0.602227, Time  0.464101
2021-09-07 04:01:04.368630 : Epoch  2, Batch    748, Loss  0.593834, Average Loss  0.602153, Time  0.461797
2021-09-07 04:01:06.231481 : Epoch  2, Batch    749, Loss  0.599748, Average Loss  0.602162, Time  0.460431
2021-09-07 04:01:08.099200 : Epoch  2, Batch    750, Loss  0.598617, Average Loss  0.602139, Time  0.461837
2021-09-07 04:01:09.964466 : Epoch  2, Batch    751, Loss  0.593329, Average Loss  0.602015, Time  0.462101
2021-09-07 04:01:11.884380 : Epoch  2, Batch    752, Loss  0.614557, Average Loss  0.602049, Time  0.462969
2021-09-07 04:01:13.773781 : Epoch  2, Batch    753, Loss  0.606032, Average Loss  0.601990, Time  0.462005
2021-09-07 04:01:15.642828 : Epoch  2, Batch    754, Loss  0.597441, Average Loss  0.601935, Time  0.460611
2021-09-07 04:01:17.515267 : Epoch  2, Batch    755, Loss  0.586033, Average Loss  0.601773, Time  0.462004
2021-09-07 04:01:19.393635 : Epoch  2, Batch    756, Loss  0.602646, Average Loss  0.601829, Time  0.460880
2021-09-07 04:01:21.269421 : Epoch  2, Batch    757, Loss  0.600122, Average Loss  0.601729, Time  0.460423
2021-09-07 04:01:23.132608 : Epoch  2, Batch    758, Loss  0.598975, Average Loss  0.601708, Time  0.460591
2021-09-07 04:01:24.999346 : Epoch  2, Batch    759, Loss  0.580936, Average Loss  0.601595, Time  0.462525
2021-09-07 04:01:26.884148 : Epoch  2, Batch    760, Loss  0.602071, Average Loss  0.601598, Time  0.463218
2021-09-07 04:01:28.763321 : Epoch  2, Batch    761, Loss  0.590527, Average Loss  0.601523, Time  0.461698
2021-09-07 04:01:30.641687 : Epoch  2, Batch    762, Loss  0.591323, Average Loss  0.601428, Time  0.461185
2021-09-07 04:01:32.515564 : Epoch  2, Batch    763, Loss  0.600825, Average Loss  0.601427, Time  0.462075
2021-09-07 04:01:34.405125 : Epoch  2, Batch    764, Loss  0.591774, Average Loss  0.601293, Time  0.461489
2021-09-07 04:01:36.290771 : Epoch  2, Batch    765, Loss  0.605588, Average Loss  0.601272, Time  0.461412
2021-09-07 04:01:38.151577 : Epoch  2, Batch    766, Loss  0.607710, Average Loss  0.601321, Time  0.461298
2021-09-07 04:01:40.019353 : Epoch  2, Batch    767, Loss  0.592984, Average Loss  0.601261, Time  0.460947
2021-09-07 04:01:41.881207 : Epoch  2, Batch    768, Loss  0.597460, Average Loss  0.601212, Time  0.461747
2021-09-07 04:01:43.737634 : Epoch  2, Batch    769, Loss  0.594625, Average Loss  0.601149, Time  0.462181
2021-09-07 04:01:45.599172 : Epoch  2, Batch    770, Loss  0.587188, Average Loss  0.601034, Time  0.461656
2021-09-07 04:01:47.474550 : Epoch  2, Batch    771, Loss  0.604526, Average Loss  0.601006, Time  0.460944
2021-09-07 04:01:49.335458 : Epoch  2, Batch    772, Loss  0.600047, Average Loss  0.600996, Time  0.460759
2021-09-07 04:01:51.211223 : Epoch  2, Batch    773, Loss  0.598677, Average Loss  0.600933, Time  0.462350
2021-09-07 04:01:53.091484 : Epoch  2, Batch    774, Loss  0.595355, Average Loss  0.600898, Time  0.460841
2021-09-07 04:01:54.961384 : Epoch  2, Batch    775, Loss  0.580628, Average Loss  0.600699, Time  0.461130
2021-09-07 04:01:56.838325 : Epoch  2, Batch    776, Loss  0.588893, Average Loss  0.600598, Time  0.460790
2021-09-07 04:01:58.719076 : Epoch  2, Batch    777, Loss  0.599533, Average Loss  0.600565, Time  0.460987
2021-09-07 04:02:00.581695 : Epoch  2, Batch    778, Loss  0.604850, Average Loss  0.600573, Time  0.460697
2021-09-07 04:02:02.465495 : Epoch  2, Batch    779, Loss  0.601332, Average Loss  0.600518, Time  0.461970
2021-09-07 04:02:04.352039 : Epoch  2, Batch    780, Loss  0.597585, Average Loss  0.600483, Time  0.462058
2021-09-07 04:02:06.241688 : Epoch  2, Batch    781, Loss  0.592469, Average Loss  0.600460, Time  0.462870
2021-09-07 04:02:08.121467 : Epoch  2, Batch    782, Loss  0.591113, Average Loss  0.600356, Time  0.461025
2021-09-07 04:02:10.004235 : Epoch  2, Batch    783, Loss  0.597587, Average Loss  0.600308, Time  0.461540
2021-09-07 04:02:14.033158 : Epoch  2, Batch    784, Loss  0.601247, Average Loss  0.600267, Time  0.475070
2021-09-07 04:02:15.905804 : Epoch  2, Batch    785, Loss  0.587821, Average Loss  0.600142, Time  0.461926
2021-09-07 04:02:17.775434 : Epoch  2, Batch    786, Loss  0.588980, Average Loss  0.600077, Time  0.461254
2021-09-07 04:02:19.647807 : Epoch  2, Batch    787, Loss  0.597993, Average Loss  0.599977, Time  0.461377
2021-09-07 04:02:19.669259 : Saving Model after 2-th Epoch.
2021-09-07 04:02:23.314291 : Epoch Finished.
2021-09-07 04:02:25.226693 : Batch Shuffled
2021-09-07 04:02:27.120025 : Epoch  3, Batch      1, Loss  0.588431, Average Loss  0.599866, Time  0.461132
2021-09-07 04:02:28.995117 : Epoch  3, Batch      2, Loss  0.590925, Average Loss  0.599837, Time  0.461572
2021-09-07 04:02:30.887088 : Epoch  3, Batch      3, Loss  0.597207, Average Loss  0.599818, Time  0.461095
2021-09-07 04:02:32.760570 : Epoch  3, Batch      4, Loss  0.591581, Average Loss  0.599730, Time  0.461296
2021-09-07 04:02:34.632444 : Epoch  3, Batch      5, Loss  0.605956, Average Loss  0.599719, Time  0.462080
2021-09-07 04:02:36.514714 : Epoch  3, Batch      6, Loss  0.601089, Average Loss  0.599636, Time  0.460864
2021-09-07 04:02:38.390985 : Epoch  3, Batch      7, Loss  0.591304, Average Loss  0.599565, Time  0.461889
2021-09-07 04:02:40.277489 : Epoch  3, Batch      8, Loss  0.597000, Average Loss  0.599521, Time  0.462051
2021-09-07 04:02:42.149050 : Epoch  3, Batch      9, Loss  0.599615, Average Loss  0.599508, Time  0.461547
2021-09-07 04:02:44.028447 : Epoch  3, Batch     10, Loss  0.600652, Average Loss  0.599436, Time  0.461067
2021-09-07 04:02:45.911416 : Epoch  3, Batch     11, Loss  0.602241, Average Loss  0.599400, Time  0.461395
2021-09-07 04:02:47.791252 : Epoch  3, Batch     12, Loss  0.592831, Average Loss  0.599328, Time  0.461644
2021-09-07 04:02:49.655118 : Epoch  3, Batch     13, Loss  0.587617, Average Loss  0.599253, Time  0.461086
2021-09-07 04:02:51.518523 : Epoch  3, Batch     14, Loss  0.587479, Average Loss  0.599171, Time  0.461712
2021-09-07 04:02:53.392645 : Epoch  3, Batch     15, Loss  0.601624, Average Loss  0.599128, Time  0.460848
2021-09-07 04:02:55.260070 : Epoch  3, Batch     16, Loss  0.592024, Average Loss  0.599077, Time  0.461412
2021-09-07 04:02:57.133956 : Epoch  3, Batch     17, Loss  0.584644, Average Loss  0.598971, Time  0.461159
2021-09-07 04:02:59.008614 : Epoch  3, Batch     18, Loss  0.608186, Average Loss  0.598987, Time  0.460774
2021-09-07 04:03:00.885662 : Epoch  3, Batch     19, Loss  0.598514, Average Loss  0.599001, Time  0.461839
2021-09-07 04:03:02.772572 : Epoch  3, Batch     20, Loss  0.597975, Average Loss  0.598901, Time  0.461210
2021-09-07 04:03:04.661179 : Epoch  3, Batch     21, Loss  0.588964, Average Loss  0.598875, Time  0.462315
2021-09-07 04:03:06.527063 : Epoch  3, Batch     22, Loss  0.593967, Average Loss  0.598789, Time  0.460455
2021-09-07 04:03:08.398346 : Epoch  3, Batch     23, Loss  0.581912, Average Loss  0.598713, Time  0.461005
2021-09-07 04:03:10.323172 : Epoch  3, Batch     24, Loss  0.588164, Average Loss  0.598612, Time  0.462344
2021-09-07 04:03:12.204035 : Epoch  3, Batch     25, Loss  0.591119, Average Loss  0.598543, Time  0.461745
2021-09-07 04:03:14.092064 : Epoch  3, Batch     26, Loss  0.582499, Average Loss  0.598437, Time  0.461853
2021-09-07 04:04:18.284776 : CheckPoint: Validation Loss  0.00024687, Best Loss  0.00024605
2021-09-07 04:04:20.168666 : Epoch  3, Batch     27, Loss  0.596169, Average Loss  0.598423, Time  0.460616
2021-09-07 04:04:22.045478 : Epoch  3, Batch     28, Loss  0.578445, Average Loss  0.598313, Time  0.460936
2021-09-07 04:04:23.916776 : Epoch  3, Batch     29, Loss  0.583639, Average Loss  0.598264, Time  0.460675
2021-09-07 04:04:25.789936 : Epoch  3, Batch     30, Loss  0.594104, Average Loss  0.598234, Time  0.461827
2021-09-07 04:04:27.679418 : Epoch  3, Batch     31, Loss  0.599343, Average Loss  0.598208, Time  0.461030
2021-09-07 04:04:29.562543 : Epoch  3, Batch     32, Loss  0.604000, Average Loss  0.598239, Time  0.460789
2021-09-07 04:04:31.436732 : Epoch  3, Batch     33, Loss  0.588245, Average Loss  0.598185, Time  0.460134
2021-09-07 04:04:33.324263 : Epoch  3, Batch     34, Loss  0.596195, Average Loss  0.598140, Time  0.461462
2021-09-07 04:04:35.221421 : Epoch  3, Batch     35, Loss  0.580928, Average Loss  0.597975, Time  0.461840
2021-09-07 04:04:37.108040 : Epoch  3, Batch     36, Loss  0.588855, Average Loss  0.597909, Time  0.460840
2021-09-07 04:04:38.999191 : Epoch  3, Batch     37, Loss  0.593535, Average Loss  0.597903, Time  0.460707
2021-09-07 04:04:40.875084 : Epoch  3, Batch     38, Loss  0.602323, Average Loss  0.597874, Time  0.462505
2021-09-07 04:04:42.765995 : Epoch  3, Batch     39, Loss  0.596262, Average Loss  0.597875, Time  0.461494
2021-09-07 04:04:44.639142 : Epoch  3, Batch     40, Loss  0.602015, Average Loss  0.597876, Time  0.462197
2021-09-07 04:04:46.536510 : Epoch  3, Batch     41, Loss  0.586584, Average Loss  0.597817, Time  0.461044
2021-09-07 04:04:48.412155 : Epoch  3, Batch     42, Loss  0.597161, Average Loss  0.597752, Time  0.460682
2021-09-07 04:04:50.440557 : Epoch  3, Batch     43, Loss  0.601036, Average Loss  0.597738, Time  0.460813
2021-09-07 04:04:52.327271 : Epoch  3, Batch     44, Loss  0.595598, Average Loss  0.597710, Time  0.462384
2021-09-07 04:04:54.217524 : Epoch  3, Batch     45, Loss  0.590368, Average Loss  0.597669, Time  0.461784
2021-09-07 04:04:56.097738 : Epoch  3, Batch     46, Loss  0.589213, Average Loss  0.597615, Time  0.462049
2021-09-07 04:04:57.989020 : Epoch  3, Batch     47, Loss  0.595300, Average Loss  0.597633, Time  0.461663
2021-09-07 04:04:59.881108 : Epoch  3, Batch     48, Loss  0.591862, Average Loss  0.597606, Time  0.461654
2021-09-07 04:05:01.765013 : Epoch  3, Batch     49, Loss  0.599142, Average Loss  0.597586, Time  0.460832
2021-09-07 04:05:03.663125 : Epoch  3, Batch     50, Loss  0.593081, Average Loss  0.597540, Time  0.461165
2021-09-07 04:05:05.555612 : Epoch  3, Batch     51, Loss  0.605495, Average Loss  0.597549, Time  0.460812
2021-09-07 04:05:07.438184 : Epoch  3, Batch     52, Loss  0.591891, Average Loss  0.597496, Time  0.460844
2021-09-07 04:05:09.318051 : Epoch  3, Batch     53, Loss  0.582712, Average Loss  0.597358, Time  0.462747
2021-09-07 04:05:11.218244 : Epoch  3, Batch     54, Loss  0.594776, Average Loss  0.597371, Time  0.461949
2021-09-07 04:05:13.103147 : Epoch  3, Batch     55, Loss  0.592562, Average Loss  0.597366, Time  0.460869
2021-09-07 04:05:14.983067 : Epoch  3, Batch     56, Loss  0.597542, Average Loss  0.597353, Time  0.461314
2021-09-07 04:05:16.857758 : Epoch  3, Batch     57, Loss  0.591930, Average Loss  0.597290, Time  0.461389
2021-09-07 04:05:18.741645 : Epoch  3, Batch     58, Loss  0.594049, Average Loss  0.597213, Time  0.461678
2021-09-07 04:05:20.619488 : Epoch  3, Batch     59, Loss  0.587624, Average Loss  0.597164, Time  0.461417
2021-09-07 04:05:22.533380 : Epoch  3, Batch     60, Loss  0.588688, Average Loss  0.597070, Time  0.463616
2021-09-07 04:05:24.436502 : Epoch  3, Batch     61, Loss  0.588151, Average Loss  0.597006, Time  0.460794
2021-09-07 04:05:26.326756 : Epoch  3, Batch     62, Loss  0.583256, Average Loss  0.596950, Time  0.460773
2021-09-07 04:05:28.202911 : Epoch  3, Batch     63, Loss  0.591150, Average Loss  0.596895, Time  0.460858
2021-09-07 04:05:30.079976 : Epoch  3, Batch     64, Loss  0.590809, Average Loss  0.596819, Time  0.462017
2021-09-07 04:05:31.965072 : Epoch  3, Batch     65, Loss  0.589152, Average Loss  0.596746, Time  0.461289
2021-09-07 04:05:33.871066 : Epoch  3, Batch     66, Loss  0.579468, Average Loss  0.596602, Time  0.462105
2021-09-07 04:05:35.757485 : Epoch  3, Batch     67, Loss  0.581306, Average Loss  0.596503, Time  0.460319
2021-09-07 04:05:37.628249 : Epoch  3, Batch     68, Loss  0.596452, Average Loss  0.596552, Time  0.460591
2021-09-07 04:05:39.529193 : Epoch  3, Batch     69, Loss  0.582925, Average Loss  0.596485, Time  0.461465
2021-09-07 04:05:41.407535 : Epoch  3, Batch     70, Loss  0.593313, Average Loss  0.596417, Time  0.461124
2021-09-07 04:05:43.282910 : Epoch  3, Batch     71, Loss  0.591708, Average Loss  0.596329, Time  0.462033
2021-09-07 04:05:45.179109 : Epoch  3, Batch     72, Loss  0.596249, Average Loss  0.596382, Time  0.462067
2021-09-07 04:05:47.073538 : Epoch  3, Batch     73, Loss  0.579757, Average Loss  0.596261, Time  0.461328
2021-09-07 04:05:48.947418 : Epoch  3, Batch     74, Loss  0.598706, Average Loss  0.596205, Time  0.460830
2021-09-07 04:05:50.831193 : Epoch  3, Batch     75, Loss  0.599985, Average Loss  0.596180, Time  0.461641
2021-09-07 04:05:52.710074 : Epoch  3, Batch     76, Loss  0.583327, Average Loss  0.596082, Time  0.460822
2021-09-07 04:05:54.604567 : Epoch  3, Batch     77, Loss  0.593859, Average Loss  0.596092, Time  0.461850
2021-09-07 04:05:56.490803 : Epoch  3, Batch     78, Loss  0.588117, Average Loss  0.596035, Time  0.461722
2021-09-07 04:05:58.376843 : Epoch  3, Batch     79, Loss  0.594677, Average Loss  0.595997, Time  0.461800
2021-09-07 04:06:00.261280 : Epoch  3, Batch     80, Loss  0.591123, Average Loss  0.595887, Time  0.461371
2021-09-07 04:06:02.136235 : Epoch  3, Batch     81, Loss  0.591514, Average Loss  0.595790, Time  0.460939
2021-09-07 04:06:04.032681 : Epoch  3, Batch     82, Loss  0.595907, Average Loss  0.595756, Time  0.462458
2021-09-07 04:06:05.923751 : Epoch  3, Batch     83, Loss  0.593309, Average Loss  0.595735, Time  0.461266
2021-09-07 04:06:07.831646 : Epoch  3, Batch     84, Loss  0.586549, Average Loss  0.595673, Time  0.462341
2021-09-07 04:06:09.717655 : Epoch  3, Batch     85, Loss  0.599180, Average Loss  0.595670, Time  0.460891
2021-09-07 04:06:11.595827 : Epoch  3, Batch     86, Loss  0.592365, Average Loss  0.595574, Time  0.461064
2021-09-07 04:06:13.487337 : Epoch  3, Batch     87, Loss  0.581465, Average Loss  0.595475, Time  0.462156
2021-09-07 04:06:15.368181 : Epoch  3, Batch     88, Loss  0.599981, Average Loss  0.595513, Time  0.460801
2021-09-07 04:06:17.246519 : Epoch  3, Batch     89, Loss  0.597805, Average Loss  0.595541, Time  0.461451
2021-09-07 04:06:19.123542 : Epoch  3, Batch     90, Loss  0.592174, Average Loss  0.595538, Time  0.460858
2021-09-07 04:06:21.001797 : Epoch  3, Batch     91, Loss  0.596443, Average Loss  0.595510, Time  0.461864
2021-09-07 04:06:22.889468 : Epoch  3, Batch     92, Loss  0.599509, Average Loss  0.595492, Time  0.461807
2021-09-07 04:06:24.770515 : Epoch  3, Batch     93, Loss  0.589714, Average Loss  0.595432, Time  0.461347
2021-09-07 04:06:26.664552 : Epoch  3, Batch     94, Loss  0.597691, Average Loss  0.595399, Time  0.461435
2021-09-07 04:06:28.537674 : Epoch  3, Batch     95, Loss  0.591299, Average Loss  0.595409, Time  0.460972
2021-09-07 04:06:30.408147 : Epoch  3, Batch     96, Loss  0.589625, Average Loss  0.595360, Time  0.460798
2021-09-07 04:06:34.367506 : Epoch  3, Batch     97, Loss  0.605300, Average Loss  0.595397, Time  0.476984
2021-09-07 04:06:36.240713 : Epoch  3, Batch     98, Loss  0.579943, Average Loss  0.595278, Time  0.461061
2021-09-07 04:06:38.103650 : Epoch  3, Batch     99, Loss  0.592287, Average Loss  0.595186, Time  0.461359
2021-09-07 04:06:39.967142 : Epoch  3, Batch    100, Loss  0.601486, Average Loss  0.595161, Time  0.460775
2021-09-07 04:06:41.834392 : Epoch  3, Batch    101, Loss  0.600152, Average Loss  0.595221, Time  0.461804
2021-09-07 04:06:42.029563 : Epoch  3, Batch    102, Loss  0.670449, Average Loss  0.595582, Time  0.160502
2021-09-07 04:06:43.903699 : Epoch  3, Batch    103, Loss  0.613551, Average Loss  0.595724, Time  0.460353
2021-09-07 04:06:45.764189 : Epoch  3, Batch    104, Loss  0.614125, Average Loss  0.595809, Time  0.461075
2021-09-07 04:06:47.630153 : Epoch  3, Batch    105, Loss  0.595140, Average Loss  0.595790, Time  0.461459
2021-09-07 04:06:49.515636 : Epoch  3, Batch    106, Loss  0.600677, Average Loss  0.595708, Time  0.461624
2021-09-07 04:06:51.378663 : Epoch  3, Batch    107, Loss  0.599855, Average Loss  0.595685, Time  0.461085
2021-09-07 04:06:53.276755 : Epoch  3, Batch    108, Loss  0.596133, Average Loss  0.595714, Time  0.462641
2021-09-07 04:06:55.148220 : Epoch  3, Batch    109, Loss  0.607949, Average Loss  0.595791, Time  0.461235
2021-09-07 04:06:57.031626 : Epoch  3, Batch    110, Loss  0.605268, Average Loss  0.595832, Time  0.462284
2021-09-07 04:06:58.901722 : Epoch  3, Batch    111, Loss  0.596737, Average Loss  0.595794, Time  0.461300
2021-09-07 04:07:00.788269 : Epoch  3, Batch    112, Loss  0.605283, Average Loss  0.595831, Time  0.461275
2021-09-07 04:07:02.660225 : Epoch  3, Batch    113, Loss  0.595446, Average Loss  0.595760, Time  0.460480
2021-09-07 04:07:04.534509 : Epoch  3, Batch    114, Loss  0.595547, Average Loss  0.595751, Time  0.461058
2021-09-07 04:07:06.421982 : Epoch  3, Batch    115, Loss  0.597738, Average Loss  0.595771, Time  0.461672
2021-09-07 04:07:08.312516 : Epoch  3, Batch    116, Loss  0.610280, Average Loss  0.595807, Time  0.461594
2021-09-07 04:07:10.199356 : Epoch  3, Batch    117, Loss  0.595569, Average Loss  0.595775, Time  0.461272
2021-09-07 04:07:12.083752 : Epoch  3, Batch    118, Loss  0.587609, Average Loss  0.595692, Time  0.461605
2021-09-07 04:07:13.970357 : Epoch  3, Batch    119, Loss  0.591263, Average Loss  0.595683, Time  0.461424
2021-09-07 04:07:15.864609 : Epoch  3, Batch    120, Loss  0.596043, Average Loss  0.595672, Time  0.462671
2021-09-07 04:07:17.749086 : Epoch  3, Batch    121, Loss  0.594148, Average Loss  0.595673, Time  0.460959
2021-09-07 04:07:19.621736 : Epoch  3, Batch    122, Loss  0.587705, Average Loss  0.595585, Time  0.461204
2021-09-07 04:07:21.488774 : Epoch  3, Batch    123, Loss  0.609798, Average Loss  0.595635, Time  0.460945
2021-09-07 04:07:23.360415 : Epoch  3, Batch    124, Loss  0.591405, Average Loss  0.595599, Time  0.461348
2021-09-07 04:07:25.255871 : Epoch  3, Batch    125, Loss  0.593885, Average Loss  0.595570, Time  0.461644
2021-09-07 04:07:27.141218 : Epoch  3, Batch    126, Loss  0.591778, Average Loss  0.595580, Time  0.461947
2021-09-07 04:08:31.405869 : CheckPoint: Validation Loss  0.00024619, Best Loss  0.00024605
2021-09-07 04:08:33.299334 : Epoch  3, Batch    127, Loss  0.603983, Average Loss  0.595646, Time  0.461484
2021-09-07 04:08:35.207874 : Epoch  3, Batch    128, Loss  0.593664, Average Loss  0.595569, Time  0.462003
2021-09-07 04:08:37.087105 : Epoch  3, Batch    129, Loss  0.593397, Average Loss  0.595537, Time  0.460677
2021-09-07 04:08:38.977201 : Epoch  3, Batch    130, Loss  0.583816, Average Loss  0.595474, Time  0.462155
2021-09-07 04:08:40.870112 : Epoch  3, Batch    131, Loss  0.586188, Average Loss  0.595391, Time  0.461502
2021-09-07 04:08:42.760456 : Epoch  3, Batch    132, Loss  0.594773, Average Loss  0.595396, Time  0.460516
2021-09-07 04:08:44.634061 : Epoch  3, Batch    133, Loss  0.583195, Average Loss  0.595315, Time  0.461570
2021-09-07 04:08:46.517874 : Epoch  3, Batch    134, Loss  0.583773, Average Loss  0.595175, Time  0.461950
2021-09-07 04:08:48.381983 : Epoch  3, Batch    135, Loss  0.585411, Average Loss  0.595065, Time  0.460820
2021-09-07 04:08:50.262364 : Epoch  3, Batch    136, Loss  0.577585, Average Loss  0.594999, Time  0.461761
2021-09-07 04:08:52.152339 : Epoch  3, Batch    137, Loss  0.577924, Average Loss  0.594890, Time  0.461689
2021-09-07 04:08:54.026305 : Epoch  3, Batch    138, Loss  0.592646, Average Loss  0.594867, Time  0.461355
2021-09-07 04:08:55.916139 : Epoch  3, Batch    139, Loss  0.586896, Average Loss  0.594788, Time  0.460550
2021-09-07 04:08:57.793418 : Epoch  3, Batch    140, Loss  0.588343, Average Loss  0.594772, Time  0.461736
2021-09-07 04:08:59.690250 : Epoch  3, Batch    141, Loss  0.587052, Average Loss  0.594705, Time  0.460622
2021-09-07 04:09:01.563922 : Epoch  3, Batch    142, Loss  0.597735, Average Loss  0.594711, Time  0.461411
2021-09-07 04:09:03.428694 : Epoch  3, Batch    143, Loss  0.592110, Average Loss  0.594627, Time  0.460555
2021-09-07 04:09:05.300176 : Epoch  3, Batch    144, Loss  0.589176, Average Loss  0.594539, Time  0.460953
2021-09-07 04:09:07.180508 : Epoch  3, Batch    145, Loss  0.592072, Average Loss  0.594565, Time  0.461174
2021-09-07 04:09:09.082038 : Epoch  3, Batch    146, Loss  0.571406, Average Loss  0.594459, Time  0.462417
2021-09-07 04:09:10.969410 : Epoch  3, Batch    147, Loss  0.609797, Average Loss  0.594510, Time  0.460448
2021-09-07 04:09:12.836391 : Epoch  3, Batch    148, Loss  0.578134, Average Loss  0.594427, Time  0.461036
2021-09-07 04:09:14.703193 : Epoch  3, Batch    149, Loss  0.592447, Average Loss  0.594362, Time  0.461177
2021-09-07 04:09:16.569650 : Epoch  3, Batch    150, Loss  0.587167, Average Loss  0.594353, Time  0.461443
2021-09-07 04:09:18.447669 : Epoch  3, Batch    151, Loss  0.602063, Average Loss  0.594389, Time  0.461480
2021-09-07 04:09:20.329272 : Epoch  3, Batch    152, Loss  0.583767, Average Loss  0.594314, Time  0.460436
2021-09-07 04:09:22.194472 : Epoch  3, Batch    153, Loss  0.581203, Average Loss  0.594279, Time  0.460588
2021-09-07 04:09:24.068543 : Epoch  3, Batch    154, Loss  0.587952, Average Loss  0.594228, Time  0.461465
2021-09-07 04:09:25.959459 : Epoch  3, Batch    155, Loss  0.581474, Average Loss  0.594174, Time  0.461625
2021-09-07 04:09:27.837705 : Epoch  3, Batch    156, Loss  0.594521, Average Loss  0.594166, Time  0.460706
2021-09-07 04:09:29.715022 : Epoch  3, Batch    157, Loss  0.594901, Average Loss  0.594123, Time  0.461227
2021-09-07 04:09:31.584256 : Epoch  3, Batch    158, Loss  0.597680, Average Loss  0.594211, Time  0.460505
2021-09-07 04:09:33.461424 : Epoch  3, Batch    159, Loss  0.594559, Average Loss  0.594134, Time  0.462032
2021-09-07 04:09:35.326688 : Epoch  3, Batch    160, Loss  0.589872, Average Loss  0.594122, Time  0.460664
2021-09-07 04:09:37.195904 : Epoch  3, Batch    161, Loss  0.602198, Average Loss  0.594164, Time  0.462447
2021-09-07 04:09:39.091830 : Epoch  3, Batch    162, Loss  0.596786, Average Loss  0.594149, Time  0.461828
2021-09-07 04:09:40.967319 : Epoch  3, Batch    163, Loss  0.582627, Average Loss  0.594069, Time  0.461327
2021-09-07 04:09:42.855340 : Epoch  3, Batch    164, Loss  0.592810, Average Loss  0.594067, Time  0.460893
2021-09-07 04:09:44.723962 : Epoch  3, Batch    165, Loss  0.597003, Average Loss  0.593979, Time  0.461591
2021-09-07 04:09:46.615495 : Epoch  3, Batch    166, Loss  0.585986, Average Loss  0.593879, Time  0.461710
2021-09-07 04:09:48.498802 : Epoch  3, Batch    167, Loss  0.583487, Average Loss  0.593809, Time  0.460755
2021-09-07 04:09:50.400768 : Epoch  3, Batch    168, Loss  0.585092, Average Loss  0.593804, Time  0.463472
2021-09-07 04:09:52.290455 : Epoch  3, Batch    169, Loss  0.597634, Average Loss  0.593779, Time  0.461014
2021-09-07 04:09:54.157309 : Epoch  3, Batch    170, Loss  0.592686, Average Loss  0.593742, Time  0.460877
2021-09-07 04:09:56.043268 : Epoch  3, Batch    171, Loss  0.587629, Average Loss  0.593685, Time  0.462200
2021-09-07 04:09:57.930114 : Epoch  3, Batch    172, Loss  0.597745, Average Loss  0.593769, Time  0.462033
2021-09-07 04:09:59.827668 : Epoch  3, Batch    173, Loss  0.601413, Average Loss  0.593766, Time  0.461868
2021-09-07 04:10:01.707093 : Epoch  3, Batch    174, Loss  0.587048, Average Loss  0.593748, Time  0.460790
2021-09-07 04:10:03.574824 : Epoch  3, Batch    175, Loss  0.590613, Average Loss  0.593745, Time  0.461010
2021-09-07 04:10:05.457100 : Epoch  3, Batch    176, Loss  0.578582, Average Loss  0.593634, Time  0.460633
2021-09-07 04:10:07.330672 : Epoch  3, Batch    177, Loss  0.592010, Average Loss  0.593635, Time  0.462767
2021-09-07 04:10:09.201375 : Epoch  3, Batch    178, Loss  0.590904, Average Loss  0.593561, Time  0.461418
2021-09-07 04:10:11.086142 : Epoch  3, Batch    179, Loss  0.582779, Average Loss  0.593437, Time  0.460845
2021-09-07 04:10:12.957461 : Epoch  3, Batch    180, Loss  0.588446, Average Loss  0.593414, Time  0.461380
2021-09-07 04:10:14.854917 : Epoch  3, Batch    181, Loss  0.584583, Average Loss  0.593350, Time  0.463153
2021-09-07 04:10:16.737457 : Epoch  3, Batch    182, Loss  0.592674, Average Loss  0.593340, Time  0.460806
2021-09-07 04:10:18.626501 : Epoch  3, Batch    183, Loss  0.593780, Average Loss  0.593373, Time  0.462564
2021-09-07 04:10:20.507008 : Epoch  3, Batch    184, Loss  0.595245, Average Loss  0.593327, Time  0.461689
2021-09-07 04:10:22.403457 : Epoch  3, Batch    185, Loss  0.589967, Average Loss  0.593276, Time  0.461398
2021-09-07 04:10:24.287818 : Epoch  3, Batch    186, Loss  0.589744, Average Loss  0.593231, Time  0.461651
2021-09-07 04:10:26.157580 : Epoch  3, Batch    187, Loss  0.586411, Average Loss  0.593187, Time  0.461031
2021-09-07 04:10:28.044152 : Epoch  3, Batch    188, Loss  0.589152, Average Loss  0.593229, Time  0.461434
2021-09-07 04:10:29.925306 : Epoch  3, Batch    189, Loss  0.588006, Average Loss  0.593225, Time  0.460725
2021-09-07 04:10:31.796827 : Epoch  3, Batch    190, Loss  0.591734, Average Loss  0.593186, Time  0.461061
2021-09-07 04:10:33.662633 : Epoch  3, Batch    191, Loss  0.588475, Average Loss  0.593104, Time  0.461320
2021-09-07 04:10:35.554328 : Epoch  3, Batch    192, Loss  0.598355, Average Loss  0.593089, Time  0.461685
2021-09-07 04:10:37.427667 : Epoch  3, Batch    193, Loss  0.585288, Average Loss  0.593028, Time  0.460685
2021-09-07 04:10:39.290845 : Epoch  3, Batch    194, Loss  0.596823, Average Loss  0.593049, Time  0.460681
2021-09-07 04:10:41.171268 : Epoch  3, Batch    195, Loss  0.587499, Average Loss  0.593031, Time  0.461432
2021-09-07 04:10:43.045000 : Epoch  3, Batch    196, Loss  0.593587, Average Loss  0.593011, Time  0.460401
2021-09-07 04:10:47.030811 : Epoch  3, Batch    197, Loss  0.583254, Average Loss  0.592921, Time  0.471270
2021-09-07 04:10:48.915306 : Epoch  3, Batch    198, Loss  0.610110, Average Loss  0.593033, Time  0.461684
2021-09-07 04:10:50.792936 : Epoch  3, Batch    199, Loss  0.588593, Average Loss  0.593031, Time  0.460765
2021-09-07 04:10:52.650194 : Epoch  3, Batch    200, Loss  0.584117, Average Loss  0.592962, Time  0.460665
2021-09-07 04:10:54.521662 : Epoch  3, Batch    201, Loss  0.588796, Average Loss  0.592963, Time  0.461082
2021-09-07 04:10:56.382882 : Epoch  3, Batch    202, Loss  0.602556, Average Loss  0.593022, Time  0.460393
2021-09-07 04:10:58.257382 : Epoch  3, Batch    203, Loss  0.586299, Average Loss  0.592967, Time  0.462348
2021-09-07 04:11:00.129886 : Epoch  3, Batch    204, Loss  0.585243, Average Loss  0.592935, Time  0.460581
2021-09-07 04:11:01.998330 : Epoch  3, Batch    205, Loss  0.582370, Average Loss  0.592817, Time  0.462683
2021-09-07 04:11:03.880984 : Epoch  3, Batch    206, Loss  0.598281, Average Loss  0.592803, Time  0.460567
2021-09-07 04:11:05.743730 : Epoch  3, Batch    207, Loss  0.589467, Average Loss  0.592794, Time  0.461004
2021-09-07 04:11:07.627781 : Epoch  3, Batch    208, Loss  0.586571, Average Loss  0.592742, Time  0.461494
2021-09-07 04:11:09.509990 : Epoch  3, Batch    209, Loss  0.580326, Average Loss  0.592646, Time  0.461755
2021-09-07 04:11:11.376351 : Epoch  3, Batch    210, Loss  0.580556, Average Loss  0.592545, Time  0.461455
2021-09-07 04:11:13.254698 : Epoch  3, Batch    211, Loss  0.581703, Average Loss  0.592442, Time  0.461646
2021-09-07 04:11:15.138993 : Epoch  3, Batch    212, Loss  0.581679, Average Loss  0.592387, Time  0.462034
2021-09-07 04:11:17.023133 : Epoch  3, Batch    213, Loss  0.588364, Average Loss  0.592390, Time  0.462284
2021-09-07 04:11:18.902565 : Epoch  3, Batch    214, Loss  0.589311, Average Loss  0.592400, Time  0.461265
2021-09-07 04:11:20.792659 : Epoch  3, Batch    215, Loss  0.580337, Average Loss  0.592293, Time  0.461237
2021-09-07 04:11:22.666440 : Epoch  3, Batch    216, Loss  0.571845, Average Loss  0.592192, Time  0.461203
2021-09-07 04:11:24.542543 : Epoch  3, Batch    217, Loss  0.588555, Average Loss  0.592212, Time  0.462721
2021-09-07 04:11:26.417968 : Epoch  3, Batch    218, Loss  0.585018, Average Loss  0.592096, Time  0.461752
2021-09-07 04:11:28.300658 : Epoch  3, Batch    219, Loss  0.575986, Average Loss  0.591983, Time  0.460530
2021-09-07 04:11:30.173503 : Epoch  3, Batch    220, Loss  0.593668, Average Loss  0.591962, Time  0.461853
2021-09-07 04:11:32.052558 : Epoch  3, Batch    221, Loss  0.593128, Average Loss  0.591983, Time  0.460863
2021-09-07 04:11:33.936969 : Epoch  3, Batch    222, Loss  0.596953, Average Loss  0.591998, Time  0.462285
2021-09-07 04:11:35.821150 : Epoch  3, Batch    223, Loss  0.593677, Average Loss  0.592056, Time  0.461252
2021-09-07 04:11:37.692639 : Epoch  3, Batch    224, Loss  0.578869, Average Loss  0.592010, Time  0.461629
2021-09-07 04:11:39.572916 : Epoch  3, Batch    225, Loss  0.601281, Average Loss  0.592061, Time  0.460990
2021-09-07 04:11:41.436541 : Epoch  3, Batch    226, Loss  0.591648, Average Loss  0.592106, Time  0.460775
2021-09-07 04:12:45.838472 : CheckPoint: Validation Loss  0.00024384, Best Loss  0.00024384
2021-09-07 04:12:45.872097 : Best Model Updated
2021-09-07 04:12:50.829662 : Epoch  3, Batch    227, Loss  0.591807, Average Loss  0.592085, Time  0.470593
2021-09-07 04:12:52.704014 : Epoch  3, Batch    228, Loss  0.579195, Average Loss  0.592088, Time  0.460753
2021-09-07 04:12:54.583189 : Epoch  3, Batch    229, Loss  0.593334, Average Loss  0.592137, Time  0.460567
2021-09-07 04:12:56.455349 : Epoch  3, Batch    230, Loss  0.581363, Average Loss  0.592073, Time  0.463385
2021-09-07 04:12:58.368029 : Epoch  3, Batch    231, Loss  0.591872, Average Loss  0.592036, Time  0.460312
2021-09-07 04:13:00.234863 : Epoch  3, Batch    232, Loss  0.583933, Average Loss  0.591935, Time  0.461075
2021-09-07 04:13:02.113218 : Epoch  3, Batch    233, Loss  0.584072, Average Loss  0.591915, Time  0.461617
2021-09-07 04:13:04.001478 : Epoch  3, Batch    234, Loss  0.591727, Average Loss  0.591892, Time  0.461741
2021-09-07 04:13:05.885141 : Epoch  3, Batch    235, Loss  0.580382, Average Loss  0.591890, Time  0.461364
2021-09-07 04:13:07.780522 : Epoch  3, Batch    236, Loss  0.592756, Average Loss  0.591909, Time  0.461799
2021-09-07 04:13:09.668376 : Epoch  3, Batch    237, Loss  0.579507, Average Loss  0.591839, Time  0.461468
2021-09-07 04:13:11.549964 : Epoch  3, Batch    238, Loss  0.578465, Average Loss  0.591720, Time  0.460541
2021-09-07 04:13:13.416995 : Epoch  3, Batch    239, Loss  0.602562, Average Loss  0.591751, Time  0.460827
2021-09-07 04:13:15.292855 : Epoch  3, Batch    240, Loss  0.567270, Average Loss  0.591577, Time  0.461574
2021-09-07 04:13:17.165497 : Epoch  3, Batch    241, Loss  0.586137, Average Loss  0.591575, Time  0.461712
2021-09-07 04:13:19.050538 : Epoch  3, Batch    242, Loss  0.597368, Average Loss  0.591576, Time  0.462012
2021-09-07 04:13:20.950782 : Epoch  3, Batch    243, Loss  0.571436, Average Loss  0.591428, Time  0.460667
2021-09-07 04:13:22.821988 : Epoch  3, Batch    244, Loss  0.585619, Average Loss  0.591378, Time  0.461889
2021-09-07 04:13:24.707199 : Epoch  3, Batch    245, Loss  0.592609, Average Loss  0.591389, Time  0.461415
2021-09-07 04:13:26.585088 : Epoch  3, Batch    246, Loss  0.563550, Average Loss  0.591261, Time  0.461454
2021-09-07 04:13:28.489919 : Epoch  3, Batch    247, Loss  0.590086, Average Loss  0.591235, Time  0.462591
2021-09-07 04:13:30.358372 : Epoch  3, Batch    248, Loss  0.584319, Average Loss  0.591197, Time  0.460731
2021-09-07 04:13:32.232489 : Epoch  3, Batch    249, Loss  0.588556, Average Loss  0.591144, Time  0.461460
2021-09-07 04:13:34.105692 : Epoch  3, Batch    250, Loss  0.572347, Average Loss  0.591041, Time  0.461559
2021-09-07 04:13:35.999238 : Epoch  3, Batch    251, Loss  0.576741, Average Loss  0.590897, Time  0.461026
2021-09-07 04:13:37.864476 : Epoch  3, Batch    252, Loss  0.582360, Average Loss  0.590849, Time  0.460809
2021-09-07 04:13:39.738811 : Epoch  3, Batch    253, Loss  0.581977, Average Loss  0.590846, Time  0.461530
2021-09-07 04:13:41.615436 : Epoch  3, Batch    254, Loss  0.589574, Average Loss  0.590820, Time  0.462272
2021-09-07 04:13:43.495998 : Epoch  3, Batch    255, Loss  0.576695, Average Loss  0.590740, Time  0.460988
2021-09-07 04:13:45.371514 : Epoch  3, Batch    256, Loss  0.583717, Average Loss  0.590671, Time  0.463476
2021-09-07 04:13:47.252027 : Epoch  3, Batch    257, Loss  0.579148, Average Loss  0.590607, Time  0.461568
2021-09-07 04:13:49.125932 : Epoch  3, Batch    258, Loss  0.591207, Average Loss  0.590593, Time  0.461775
2021-09-07 04:13:51.026540 : Epoch  3, Batch    259, Loss  0.586156, Average Loss  0.590586, Time  0.462930
2021-09-07 04:13:52.898503 : Epoch  3, Batch    260, Loss  0.587172, Average Loss  0.590578, Time  0.460806
2021-09-07 04:13:54.771945 : Epoch  3, Batch    261, Loss  0.589770, Average Loss  0.590586, Time  0.460835
2021-09-07 04:13:56.649434 : Epoch  3, Batch    262, Loss  0.585424, Average Loss  0.590597, Time  0.461796
2021-09-07 04:13:58.529821 : Epoch  3, Batch    263, Loss  0.585248, Average Loss  0.590568, Time  0.461088
2021-09-07 04:14:00.398102 : Epoch  3, Batch    264, Loss  0.594525, Average Loss  0.590586, Time  0.461642
2021-09-07 04:14:02.298972 : Epoch  3, Batch    265, Loss  0.582129, Average Loss  0.590551, Time  0.462060
2021-09-07 04:14:04.180275 : Epoch  3, Batch    266, Loss  0.589765, Average Loss  0.590603, Time  0.461548
2021-09-07 04:14:06.072038 : Epoch  3, Batch    267, Loss  0.594781, Average Loss  0.590670, Time  0.461936
2021-09-07 04:14:07.964545 : Epoch  3, Batch    268, Loss  0.575433, Average Loss  0.590565, Time  0.461637
2021-09-07 04:14:09.832481 : Epoch  3, Batch    269, Loss  0.587427, Average Loss  0.590587, Time  0.461259
2021-09-07 04:14:11.719438 : Epoch  3, Batch    270, Loss  0.589182, Average Loss  0.590567, Time  0.460560
2021-09-07 04:14:13.592230 : Epoch  3, Batch    271, Loss  0.585791, Average Loss  0.590537, Time  0.462010
2021-09-07 04:14:15.462573 : Epoch  3, Batch    272, Loss  0.585360, Average Loss  0.590483, Time  0.461210
2021-09-07 04:14:17.343713 : Epoch  3, Batch    273, Loss  0.600399, Average Loss  0.590586, Time  0.461566
2021-09-07 04:14:19.224987 : Epoch  3, Batch    274, Loss  0.584724, Average Loss  0.590516, Time  0.461112
2021-09-07 04:14:21.093432 : Epoch  3, Batch    275, Loss  0.594467, Average Loss  0.590488, Time  0.460808
2021-09-07 04:14:22.965437 : Epoch  3, Batch    276, Loss  0.580510, Average Loss  0.590474, Time  0.461136
2021-09-07 04:14:24.841954 : Epoch  3, Batch    277, Loss  0.587195, Average Loss  0.590441, Time  0.461829
2021-09-07 04:14:26.728397 : Epoch  3, Batch    278, Loss  0.571729, Average Loss  0.590359, Time  0.461457
2021-09-07 04:14:28.602803 : Epoch  3, Batch    279, Loss  0.586611, Average Loss  0.590319, Time  0.461488
2021-09-07 04:14:30.494983 : Epoch  3, Batch    280, Loss  0.601101, Average Loss  0.590369, Time  0.460849
2021-09-07 04:14:32.374696 : Epoch  3, Batch    281, Loss  0.583137, Average Loss  0.590327, Time  0.464258
2021-09-07 04:14:34.246129 : Epoch  3, Batch    282, Loss  0.596346, Average Loss  0.590329, Time  0.460505
2021-09-07 04:14:36.118902 : Epoch  3, Batch    283, Loss  0.587383, Average Loss  0.590299, Time  0.460926
2021-09-07 04:14:38.017559 : Epoch  3, Batch    284, Loss  0.579825, Average Loss  0.590266, Time  0.460776
2021-09-07 04:14:39.901818 : Epoch  3, Batch    285, Loss  0.590649, Average Loss  0.590223, Time  0.461964
2021-09-07 04:14:41.789754 : Epoch  3, Batch    286, Loss  0.585517, Average Loss  0.590189, Time  0.461188
2021-09-07 04:14:43.684523 : Epoch  3, Batch    287, Loss  0.586686, Average Loss  0.590215, Time  0.461757
2021-09-07 04:14:45.571103 : Epoch  3, Batch    288, Loss  0.595501, Average Loss  0.590192, Time  0.461638
2021-09-07 04:14:47.473482 : Epoch  3, Batch    289, Loss  0.591414, Average Loss  0.590160, Time  0.462332
2021-09-07 04:14:49.362574 : Epoch  3, Batch    290, Loss  0.584193, Average Loss  0.590121, Time  0.460996
2021-09-07 04:14:51.249137 : Epoch  3, Batch    291, Loss  0.570605, Average Loss  0.589991, Time  0.460494
2021-09-07 04:14:53.125680 : Epoch  3, Batch    292, Loss  0.584610, Average Loss  0.589917, Time  0.461588
2021-09-07 04:14:55.015880 : Epoch  3, Batch    293, Loss  0.578565, Average Loss  0.589861, Time  0.461439
2021-09-07 04:14:56.894181 : Epoch  3, Batch    294, Loss  0.578928, Average Loss  0.589767, Time  0.460611
2021-09-07 04:14:58.775618 : Epoch  3, Batch    295, Loss  0.591047, Average Loss  0.589766, Time  0.461665
2021-09-07 04:15:00.643800 : Epoch  3, Batch    296, Loss  0.584842, Average Loss  0.589742, Time  0.461679
2021-09-07 04:15:04.580159 : Epoch  3, Batch    297, Loss  0.583779, Average Loss  0.589635, Time  0.477319
2021-09-07 04:15:06.451143 : Epoch  3, Batch    298, Loss  0.577026, Average Loss  0.589620, Time  0.461412
2021-09-07 04:15:08.333756 : Epoch  3, Batch    299, Loss  0.579059, Average Loss  0.589554, Time  0.461954
2021-09-07 04:15:10.203389 : Epoch  3, Batch    300, Loss  0.577617, Average Loss  0.589434, Time  0.461798
2021-09-07 04:15:12.084820 : Epoch  3, Batch    301, Loss  0.585774, Average Loss  0.589363, Time  0.461470
2021-09-07 04:15:13.961908 : Epoch  3, Batch    302, Loss  0.574968, Average Loss  0.588885, Time  0.460885
2021-09-07 04:15:15.839383 : Epoch  3, Batch    303, Loss  0.582836, Average Loss  0.588732, Time  0.461523
2021-09-07 04:15:17.702138 : Epoch  3, Batch    304, Loss  0.588463, Average Loss  0.588603, Time  0.461004
2021-09-07 04:15:19.573648 : Epoch  3, Batch    305, Loss  0.591630, Average Loss  0.588586, Time  0.461810
2021-09-07 04:15:21.463467 : Epoch  3, Batch    306, Loss  0.584787, Average Loss  0.588506, Time  0.460943
2021-09-07 04:15:23.336072 : Epoch  3, Batch    307, Loss  0.599725, Average Loss  0.588506, Time  0.460939
2021-09-07 04:15:25.224128 : Epoch  3, Batch    308, Loss  0.571852, Average Loss  0.588384, Time  0.461362
2021-09-07 04:15:27.084612 : Epoch  3, Batch    309, Loss  0.578331, Average Loss  0.588236, Time  0.460505
2021-09-07 04:15:28.962363 : Epoch  3, Batch    310, Loss  0.591606, Average Loss  0.588168, Time  0.460298
2021-09-07 04:15:30.840255 : Epoch  3, Batch    311, Loss  0.570726, Average Loss  0.588038, Time  0.461526
2021-09-07 04:15:32.714069 : Epoch  3, Batch    312, Loss  0.580101, Average Loss  0.587912, Time  0.461340
2021-09-07 04:15:34.607563 : Epoch  3, Batch    313, Loss  0.569546, Average Loss  0.587782, Time  0.461995
2021-09-07 04:15:36.473338 : Epoch  3, Batch    314, Loss  0.581838, Average Loss  0.587714, Time  0.461384
2021-09-07 04:15:38.365371 : Epoch  3, Batch    315, Loss  0.583953, Average Loss  0.587645, Time  0.460589
2021-09-07 04:15:40.244070 : Epoch  3, Batch    316, Loss  0.573331, Average Loss  0.587460, Time  0.462182
2021-09-07 04:15:42.112081 : Epoch  3, Batch    317, Loss  0.584224, Average Loss  0.587403, Time  0.460326
2021-09-07 04:15:43.991687 : Epoch  3, Batch    318, Loss  0.584528, Average Loss  0.587388, Time  0.460520
2021-09-07 04:15:45.873856 : Epoch  3, Batch    319, Loss  0.580620, Average Loss  0.587335, Time  0.461131
2021-09-07 04:15:47.763453 : Epoch  3, Batch    320, Loss  0.584311, Average Loss  0.587276, Time  0.461539
2021-09-07 04:15:49.635633 : Epoch  3, Batch    321, Loss  0.571061, Average Loss  0.587161, Time  0.460913
2021-09-07 04:15:51.507161 : Epoch  3, Batch    322, Loss  0.586641, Average Loss  0.587155, Time  0.463506
2021-09-07 04:15:53.416678 : Epoch  3, Batch    323, Loss  0.588835, Average Loss  0.587051, Time  0.461021
2021-09-07 04:15:55.290279 : Epoch  3, Batch    324, Loss  0.579358, Average Loss  0.586990, Time  0.461874
2021-09-07 04:15:57.180379 : Epoch  3, Batch    325, Loss  0.568883, Average Loss  0.586865, Time  0.462377
2021-09-07 04:15:59.057645 : Epoch  3, Batch    326, Loss  0.576973, Average Loss  0.586791, Time  0.462332
2021-09-07 04:17:03.293786 : CheckPoint: Validation Loss  0.00023669, Best Loss  0.00023669
2021-09-07 04:17:03.345802 : Best Model Updated
2021-09-07 04:17:08.298215 : Epoch  3, Batch    327, Loss  0.586608, Average Loss  0.586704, Time  0.475766
2021-09-07 04:17:10.185723 : Epoch  3, Batch    328, Loss  0.583359, Average Loss  0.586653, Time  0.461031
2021-09-07 04:17:12.060426 : Epoch  3, Batch    329, Loss  0.582491, Average Loss  0.586598, Time  0.460717
2021-09-07 04:17:13.941780 : Epoch  3, Batch    330, Loss  0.585355, Average Loss  0.586606, Time  0.461429
2021-09-07 04:17:15.814411 : Epoch  3, Batch    331, Loss  0.576595, Average Loss  0.586558, Time  0.461672
2021-09-07 04:17:17.741732 : Epoch  3, Batch    332, Loss  0.582319, Average Loss  0.586496, Time  0.460877
2021-09-07 04:17:19.631111 : Epoch  3, Batch    333, Loss  0.581574, Average Loss  0.586488, Time  0.461258
2021-09-07 04:17:21.513941 : Epoch  3, Batch    334, Loss  0.572868, Average Loss  0.586433, Time  0.461175
2021-09-07 04:17:23.392852 : Epoch  3, Batch    335, Loss  0.585197, Average Loss  0.586432, Time  0.461361
2021-09-07 04:17:25.271278 : Epoch  3, Batch    336, Loss  0.593469, Average Loss  0.586512, Time  0.460835
2021-09-07 04:17:27.154656 : Epoch  3, Batch    337, Loss  0.580262, Average Loss  0.586523, Time  0.461280
2021-09-07 04:17:29.028515 : Epoch  3, Batch    338, Loss  0.572876, Average Loss  0.586424, Time  0.462062
2021-09-07 04:17:30.904028 : Epoch  3, Batch    339, Loss  0.578401, Average Loss  0.586382, Time  0.460287
2021-09-07 04:17:32.781127 : Epoch  3, Batch    340, Loss  0.585959, Average Loss  0.586370, Time  0.461419
2021-09-07 04:17:34.666733 : Epoch  3, Batch    341, Loss  0.577929, Average Loss  0.586324, Time  0.460643
2021-09-07 04:17:36.554975 : Epoch  3, Batch    342, Loss  0.574895, Average Loss  0.586210, Time  0.460898
2021-09-07 04:17:38.437800 : Epoch  3, Batch    343, Loss  0.562908, Average Loss  0.586064, Time  0.462509
2021-09-07 04:17:40.331347 : Epoch  3, Batch    344, Loss  0.573915, Average Loss  0.585988, Time  0.461803
2021-09-07 04:17:42.210816 : Epoch  3, Batch    345, Loss  0.585402, Average Loss  0.585955, Time  0.460313
2021-09-07 04:17:44.083901 : Epoch  3, Batch    346, Loss  0.577892, Average Loss  0.585987, Time  0.461177
2021-09-07 04:17:45.978656 : Epoch  3, Batch    347, Loss  0.581640, Average Loss  0.585846, Time  0.461106
2021-09-07 04:17:47.843661 : Epoch  3, Batch    348, Loss  0.574011, Average Loss  0.585826, Time  0.461063
2021-09-07 04:17:49.711006 : Epoch  3, Batch    349, Loss  0.581051, Average Loss  0.585769, Time  0.461850
2021-09-07 04:17:51.586781 : Epoch  3, Batch    350, Loss  0.569992, Average Loss  0.585683, Time  0.460433
2021-09-07 04:17:53.452421 : Epoch  3, Batch    351, Loss  0.578061, Average Loss  0.585563, Time  0.461756
2021-09-07 04:17:55.317106 : Epoch  3, Batch    352, Loss  0.583336, Average Loss  0.585561, Time  0.460644
2021-09-07 04:17:57.181957 : Epoch  3, Batch    353, Loss  0.572807, Average Loss  0.585519, Time  0.460734
2021-09-07 04:17:59.068387 : Epoch  3, Batch    354, Loss  0.573034, Average Loss  0.585444, Time  0.460810
2021-09-07 04:18:00.935624 : Epoch  3, Batch    355, Loss  0.584661, Average Loss  0.585460, Time  0.460559
2021-09-07 04:18:02.805625 : Epoch  3, Batch    356, Loss  0.573290, Average Loss  0.585354, Time  0.460745
2021-09-07 04:18:04.666576 : Epoch  3, Batch    357, Loss  0.579417, Average Loss  0.585276, Time  0.461316
2021-09-07 04:18:06.556238 : Epoch  3, Batch    358, Loss  0.579296, Average Loss  0.585184, Time  0.460711
2021-09-07 04:18:08.442825 : Epoch  3, Batch    359, Loss  0.585043, Average Loss  0.585137, Time  0.460906
2021-09-07 04:18:10.308404 : Epoch  3, Batch    360, Loss  0.578137, Average Loss  0.585078, Time  0.460979
2021-09-07 04:18:12.193983 : Epoch  3, Batch    361, Loss  0.564246, Average Loss  0.584888, Time  0.461596
2021-09-07 04:18:14.063985 : Epoch  3, Batch    362, Loss  0.579680, Average Loss  0.584803, Time  0.460902
2021-09-07 04:18:15.960876 : Epoch  3, Batch    363, Loss  0.554134, Average Loss  0.584660, Time  0.462502
2021-09-07 04:18:17.833383 : Epoch  3, Batch    364, Loss  0.576788, Average Loss  0.584580, Time  0.462123
2021-09-07 04:18:19.718555 : Epoch  3, Batch    365, Loss  0.564701, Average Loss  0.584419, Time  0.460860
2021-09-07 04:18:21.586101 : Epoch  3, Batch    366, Loss  0.571203, Average Loss  0.584345, Time  0.460170
2021-09-07 04:18:23.456291 : Epoch  3, Batch    367, Loss  0.574666, Average Loss  0.584301, Time  0.460875
2021-09-07 04:18:25.329086 : Epoch  3, Batch    368, Loss  0.580995, Average Loss  0.584280, Time  0.461277
2021-09-07 04:18:27.199248 : Epoch  3, Batch    369, Loss  0.563825, Average Loss  0.584111, Time  0.460763
2021-09-07 04:18:29.064115 : Epoch  3, Batch    370, Loss  0.577766, Average Loss  0.584037, Time  0.461001
2021-09-07 04:18:30.929744 : Epoch  3, Batch    371, Loss  0.584970, Average Loss  0.584023, Time  0.460927
2021-09-07 04:18:32.810075 : Epoch  3, Batch    372, Loss  0.571144, Average Loss  0.583890, Time  0.462980
2021-09-07 04:18:34.709626 : Epoch  3, Batch    373, Loss  0.566851, Average Loss  0.583718, Time  0.461097
2021-09-07 04:18:36.595968 : Epoch  3, Batch    374, Loss  0.575430, Average Loss  0.583659, Time  0.460646
2021-09-07 04:18:38.468212 : Epoch  3, Batch    375, Loss  0.574078, Average Loss  0.583577, Time  0.462170
2021-09-07 04:18:40.346518 : Epoch  3, Batch    376, Loss  0.579515, Average Loss  0.583581, Time  0.461840
2021-09-07 04:18:42.216061 : Epoch  3, Batch    377, Loss  0.561700, Average Loss  0.583430, Time  0.460953
2021-09-07 04:18:44.085794 : Epoch  3, Batch    378, Loss  0.563516, Average Loss  0.583293, Time  0.461291
2021-09-07 04:18:45.965819 : Epoch  3, Batch    379, Loss  0.573627, Average Loss  0.583247, Time  0.460759
2021-09-07 04:18:47.836821 : Epoch  3, Batch    380, Loss  0.577324, Average Loss  0.583192, Time  0.461702
2021-09-07 04:18:49.726617 : Epoch  3, Batch    381, Loss  0.583629, Average Loss  0.583187, Time  0.461673
2021-09-07 04:18:51.601822 : Epoch  3, Batch    382, Loss  0.578233, Average Loss  0.583115, Time  0.460685
2021-09-07 04:18:53.468817 : Epoch  3, Batch    383, Loss  0.562553, Average Loss  0.582958, Time  0.460864
2021-09-07 04:18:55.339780 : Epoch  3, Batch    384, Loss  0.580818, Average Loss  0.582886, Time  0.461270
2021-09-07 04:18:57.204137 : Epoch  3, Batch    385, Loss  0.576529, Average Loss  0.582819, Time  0.461141
2021-09-07 04:18:59.073515 : Epoch  3, Batch    386, Loss  0.570175, Average Loss  0.582721, Time  0.460680
2021-09-07 04:19:00.937830 : Epoch  3, Batch    387, Loss  0.569410, Average Loss  0.582636, Time  0.460472
2021-09-07 04:19:02.800120 : Epoch  3, Batch    388, Loss  0.571336, Average Loss  0.582547, Time  0.460528
2021-09-07 04:19:04.667527 : Epoch  3, Batch    389, Loss  0.579894, Average Loss  0.582507, Time  0.461116
2021-09-07 04:19:06.558515 : Epoch  3, Batch    390, Loss  0.580756, Average Loss  0.582452, Time  0.463054
2021-09-07 04:19:08.422348 : Epoch  3, Batch    391, Loss  0.570667, Average Loss  0.582363, Time  0.460609
2021-09-07 04:19:10.289745 : Epoch  3, Batch    392, Loss  0.568668, Average Loss  0.582214, Time  0.461480
2021-09-07 04:19:12.162948 : Epoch  3, Batch    393, Loss  0.582469, Average Loss  0.582200, Time  0.460831
2021-09-07 04:19:14.046180 : Epoch  3, Batch    394, Loss  0.580310, Average Loss  0.582118, Time  0.461892
2021-09-07 04:19:15.927788 : Epoch  3, Batch    395, Loss  0.574086, Average Loss  0.582051, Time  0.460808
2021-09-07 04:19:17.796782 : Epoch  3, Batch    396, Loss  0.586923, Average Loss  0.582017, Time  0.460145
2021-09-07 04:19:21.743796 : Epoch  3, Batch    397, Loss  0.582284, Average Loss  0.582012, Time  0.468901
2021-09-07 04:19:23.635149 : Epoch  3, Batch    398, Loss  0.575181, Average Loss  0.581838, Time  0.461536
2021-09-07 04:19:25.520359 : Epoch  3, Batch    399, Loss  0.579249, Average Loss  0.581791, Time  0.460965
2021-09-07 04:19:27.389259 : Epoch  3, Batch    400, Loss  0.578034, Average Loss  0.581761, Time  0.460752
2021-09-07 04:19:29.268829 : Epoch  3, Batch    401, Loss  0.575592, Average Loss  0.581695, Time  0.461259
2021-09-07 04:19:31.147477 : Epoch  3, Batch    402, Loss  0.567207, Average Loss  0.581518, Time  0.461143
2021-09-07 04:19:33.022304 : Epoch  3, Batch    403, Loss  0.570380, Average Loss  0.581438, Time  0.460930
2021-09-07 04:19:34.898192 : Epoch  3, Batch    404, Loss  0.579285, Average Loss  0.581408, Time  0.461936
2021-09-07 04:19:36.770828 : Epoch  3, Batch    405, Loss  0.577661, Average Loss  0.581385, Time  0.460813
2021-09-07 04:19:38.665036 : Epoch  3, Batch    406, Loss  0.567360, Average Loss  0.581230, Time  0.461417
2021-09-07 04:19:40.542175 : Epoch  3, Batch    407, Loss  0.564511, Average Loss  0.581105, Time  0.461870
2021-09-07 04:19:42.426748 : Epoch  3, Batch    408, Loss  0.580935, Average Loss  0.581077, Time  0.461169
2021-09-07 04:19:44.298089 : Epoch  3, Batch    409, Loss  0.571119, Average Loss  0.581031, Time  0.461265
2021-09-07 04:19:46.175224 : Epoch  3, Batch    410, Loss  0.586602, Average Loss  0.581061, Time  0.460560
2021-09-07 04:19:48.046650 : Epoch  3, Batch    411, Loss  0.578895, Average Loss  0.581047, Time  0.461938
2021-09-07 04:19:49.921118 : Epoch  3, Batch    412, Loss  0.575708, Average Loss  0.581018, Time  0.461185
2021-09-07 04:19:51.790779 : Epoch  3, Batch    413, Loss  0.582786, Average Loss  0.580990, Time  0.460969
2021-09-07 04:19:53.674426 : Epoch  3, Batch    414, Loss  0.568626, Average Loss  0.580886, Time  0.460419
2021-09-07 04:19:55.565897 : Epoch  3, Batch    415, Loss  0.555718, Average Loss  0.580763, Time  0.461642
2021-09-07 04:19:57.454455 : Epoch  3, Batch    416, Loss  0.581703, Average Loss  0.580812, Time  0.460507
2021-09-07 04:19:59.321955 : Epoch  3, Batch    417, Loss  0.584260, Average Loss  0.580791, Time  0.460388
2021-09-07 04:20:01.206255 : Epoch  3, Batch    418, Loss  0.574658, Average Loss  0.580739, Time  0.460599
2021-09-07 04:20:03.079343 : Epoch  3, Batch    419, Loss  0.577979, Average Loss  0.580749, Time  0.461717
2021-09-07 04:20:04.966390 : Epoch  3, Batch    420, Loss  0.584354, Average Loss  0.580703, Time  0.460924
2021-09-07 04:20:06.852304 : Epoch  3, Batch    421, Loss  0.592710, Average Loss  0.580701, Time  0.462456
2021-09-07 04:20:08.724446 : Epoch  3, Batch    422, Loss  0.560741, Average Loss  0.580519, Time  0.460729
2021-09-07 04:20:10.620019 : Epoch  3, Batch    423, Loss  0.580629, Average Loss  0.580454, Time  0.461392
2021-09-07 04:20:12.510835 : Epoch  3, Batch    424, Loss  0.567920, Average Loss  0.580399, Time  0.461589
2021-09-07 04:20:14.408824 : Epoch  3, Batch    425, Loss  0.585288, Average Loss  0.580319, Time  0.461624
2021-09-07 04:20:18.334794 : Epoch  3, Batch    426, Loss  0.572657, Average Loss  0.580225, Time  0.473679
2021-09-07 04:21:22.051626 : CheckPoint: Validation Loss  0.00023508, Best Loss  0.00023508
2021-09-07 04:21:22.085276 : Best Model Updated
2021-09-07 04:21:26.682753 : Epoch  3, Batch    427, Loss  0.564227, Average Loss  0.580087, Time  0.472843
2021-09-07 04:21:28.558840 : Epoch  3, Batch    428, Loss  0.580491, Average Loss  0.580093, Time  0.460737
2021-09-07 04:21:30.432393 : Epoch  3, Batch    429, Loss  0.585743, Average Loss  0.580055, Time  0.463230
2021-09-07 04:21:32.326845 : Epoch  3, Batch    430, Loss  0.568766, Average Loss  0.579992, Time  0.461290
2021-09-07 04:21:34.209043 : Epoch  3, Batch    431, Loss  0.580336, Average Loss  0.579934, Time  0.462972
2021-09-07 04:21:36.085708 : Epoch  3, Batch    432, Loss  0.579979, Average Loss  0.579915, Time  0.460744
2021-09-07 04:21:37.962874 : Epoch  3, Batch    433, Loss  0.577799, Average Loss  0.579883, Time  0.460622
2021-09-07 04:21:39.844842 : Epoch  3, Batch    434, Loss  0.571966, Average Loss  0.579785, Time  0.461033
2021-09-07 04:21:41.711708 : Epoch  3, Batch    435, Loss  0.584904, Average Loss  0.579807, Time  0.460941
2021-09-07 04:21:43.581529 : Epoch  3, Batch    436, Loss  0.585260, Average Loss  0.579770, Time  0.460987
2021-09-07 04:21:45.469491 : Epoch  3, Batch    437, Loss  0.582175, Average Loss  0.579783, Time  0.461496
2021-09-07 04:21:47.358871 : Epoch  3, Batch    438, Loss  0.567302, Average Loss  0.579727, Time  0.460859
2021-09-07 04:21:49.239964 : Epoch  3, Batch    439, Loss  0.569449, Average Loss  0.579562, Time  0.462514
2021-09-07 04:21:51.137969 : Epoch  3, Batch    440, Loss  0.575591, Average Loss  0.579603, Time  0.460986
2021-09-07 04:21:53.016793 : Epoch  3, Batch    441, Loss  0.580319, Average Loss  0.579574, Time  0.461489
2021-09-07 04:21:54.898104 : Epoch  3, Batch    442, Loss  0.577788, Average Loss  0.579476, Time  0.460705
2021-09-07 04:21:56.786871 : Epoch  3, Batch    443, Loss  0.584223, Average Loss  0.579540, Time  0.461685
2021-09-07 04:21:58.680567 : Epoch  3, Batch    444, Loss  0.579838, Average Loss  0.579511, Time  0.461145
2021-09-07 04:22:00.559821 : Epoch  3, Batch    445, Loss  0.577713, Average Loss  0.579437, Time  0.461883
2021-09-07 04:22:02.456549 : Epoch  3, Batch    446, Loss  0.575050, Average Loss  0.579494, Time  0.461965
2021-09-07 04:22:04.321637 : Epoch  3, Batch    447, Loss  0.574946, Average Loss  0.579419, Time  0.460685
2021-09-07 04:22:06.207164 : Epoch  3, Batch    448, Loss  0.580252, Average Loss  0.579398, Time  0.461443
2021-09-07 04:22:08.072233 : Epoch  3, Batch    449, Loss  0.573599, Average Loss  0.579323, Time  0.462087
2021-09-07 04:22:09.955510 : Epoch  3, Batch    450, Loss  0.587342, Average Loss  0.579398, Time  0.460570
2021-09-07 04:22:11.836957 : Epoch  3, Batch    451, Loss  0.574871, Average Loss  0.579389, Time  0.462471
2021-09-07 04:22:13.733050 : Epoch  3, Batch    452, Loss  0.573614, Average Loss  0.579345, Time  0.460648
2021-09-07 04:22:15.624470 : Epoch  3, Batch    453, Loss  0.582076, Average Loss  0.579346, Time  0.463183
2021-09-07 04:22:17.515156 : Epoch  3, Batch    454, Loss  0.566419, Average Loss  0.579230, Time  0.461027
2021-09-07 04:22:19.401383 : Epoch  3, Batch    455, Loss  0.577030, Average Loss  0.579232, Time  0.461107
2021-09-07 04:22:21.264895 : Epoch  3, Batch    456, Loss  0.565094, Average Loss  0.579139, Time  0.461161
2021-09-07 04:22:23.153253 : Epoch  3, Batch    457, Loss  0.572572, Average Loss  0.579106, Time  0.461413
2021-09-07 04:22:25.047163 : Epoch  3, Batch    458, Loss  0.574372, Average Loss  0.579022, Time  0.462014
2021-09-07 04:22:26.933527 : Epoch  3, Batch    459, Loss  0.570295, Average Loss  0.578942, Time  0.461609
2021-09-07 04:22:28.823255 : Epoch  3, Batch    460, Loss  0.571014, Average Loss  0.578862, Time  0.462636
2021-09-07 04:22:30.714531 : Epoch  3, Batch    461, Loss  0.574152, Average Loss  0.578783, Time  0.461267
2021-09-07 04:22:32.622815 : Epoch  3, Batch    462, Loss  0.565495, Average Loss  0.578684, Time  0.460740
2021-09-07 04:22:34.495467 : Epoch  3, Batch    463, Loss  0.578869, Average Loss  0.578652, Time  0.460906
2021-09-07 04:22:36.382757 : Epoch  3, Batch    464, Loss  0.581630, Average Loss  0.578587, Time  0.461734
2021-09-07 04:22:38.261957 : Epoch  3, Batch    465, Loss  0.587105, Average Loss  0.578612, Time  0.461641
2021-09-07 04:22:40.146347 : Epoch  3, Batch    466, Loss  0.584972, Average Loss  0.578588, Time  0.461587
2021-09-07 04:22:42.040778 : Epoch  3, Batch    467, Loss  0.578187, Average Loss  0.578505, Time  0.461374
2021-09-07 04:22:43.930260 : Epoch  3, Batch    468, Loss  0.576706, Average Loss  0.578512, Time  0.461408
2021-09-07 04:22:45.813760 : Epoch  3, Batch    469, Loss  0.588287, Average Loss  0.578516, Time  0.460696
2021-09-07 04:22:47.679013 : Epoch  3, Batch    470, Loss  0.564248, Average Loss  0.578391, Time  0.460797
2021-09-07 04:22:49.547251 : Epoch  3, Batch    471, Loss  0.574659, Average Loss  0.578336, Time  0.464176
2021-09-07 04:22:51.440096 : Epoch  3, Batch    472, Loss  0.555077, Average Loss  0.578184, Time  0.462043
2021-09-07 04:22:53.308281 : Epoch  3, Batch    473, Loss  0.557576, Average Loss  0.577970, Time  0.461257
2021-09-07 04:22:55.189733 : Epoch  3, Batch    474, Loss  0.568497, Average Loss  0.577889, Time  0.460856
2021-09-07 04:22:57.059679 : Epoch  3, Batch    475, Loss  0.570548, Average Loss  0.577769, Time  0.461403
2021-09-07 04:22:58.947083 : Epoch  3, Batch    476, Loss  0.586852, Average Loss  0.577801, Time  0.461801
2021-09-07 04:23:00.841195 : Epoch  3, Batch    477, Loss  0.576386, Average Loss  0.577747, Time  0.462579
2021-09-07 04:23:02.742792 : Epoch  3, Batch    478, Loss  0.568088, Average Loss  0.577729, Time  0.461061
2021-09-07 04:23:04.634503 : Epoch  3, Batch    479, Loss  0.590056, Average Loss  0.577746, Time  0.461486
2021-09-07 04:23:06.525740 : Epoch  3, Batch    480, Loss  0.576586, Average Loss  0.577624, Time  0.460343
2021-09-07 04:23:08.417326 : Epoch  3, Batch    481, Loss  0.578165, Average Loss  0.577599, Time  0.461750
2021-09-07 04:23:10.306229 : Epoch  3, Batch    482, Loss  0.577696, Average Loss  0.577505, Time  0.461774
2021-09-07 04:23:12.180908 : Epoch  3, Batch    483, Loss  0.570308, Average Loss  0.577420, Time  0.461523
2021-09-07 04:23:14.065731 : Epoch  3, Batch    484, Loss  0.575386, Average Loss  0.577398, Time  0.460750
2021-09-07 04:23:15.940005 : Epoch  3, Batch    485, Loss  0.585286, Average Loss  0.577371, Time  0.460202
2021-09-07 04:23:17.819845 : Epoch  3, Batch    486, Loss  0.583990, Average Loss  0.577363, Time  0.461227
2021-09-07 04:23:19.692492 : Epoch  3, Batch    487, Loss  0.568330, Average Loss  0.577272, Time  0.461808
2021-09-07 04:23:21.575778 : Epoch  3, Batch    488, Loss  0.572018, Average Loss  0.577154, Time  0.460350
2021-09-07 04:23:23.447649 : Epoch  3, Batch    489, Loss  0.560588, Average Loss  0.577000, Time  0.461434
2021-09-07 04:23:25.311945 : Epoch  3, Batch    490, Loss  0.589467, Average Loss  0.577026, Time  0.460851
2021-09-07 04:23:27.181139 : Epoch  3, Batch    491, Loss  0.576531, Average Loss  0.577056, Time  0.461485
2021-09-07 04:23:29.073713 : Epoch  3, Batch    492, Loss  0.565000, Average Loss  0.576958, Time  0.461542
2021-09-07 04:23:30.961801 : Epoch  3, Batch    493, Loss  0.558154, Average Loss  0.576856, Time  0.461334
2021-09-07 04:23:32.852019 : Epoch  3, Batch    494, Loss  0.576072, Average Loss  0.576842, Time  0.463245
2021-09-07 04:23:34.744306 : Epoch  3, Batch    495, Loss  0.572567, Average Loss  0.576749, Time  0.460907
2021-09-07 04:23:36.611750 : Epoch  3, Batch    496, Loss  0.573580, Average Loss  0.576693, Time  0.461882
2021-09-07 04:23:40.542751 : Epoch  3, Batch    497, Loss  0.577464, Average Loss  0.576661, Time  0.472544
2021-09-07 04:23:42.412022 : Epoch  3, Batch    498, Loss  0.586654, Average Loss  0.576710, Time  0.460763
2021-09-07 04:23:44.280832 : Epoch  3, Batch    499, Loss  0.575613, Average Loss  0.576692, Time  0.461571
2021-09-07 04:23:46.156865 : Epoch  3, Batch    500, Loss  0.565736, Average Loss  0.576633, Time  0.460904
2021-09-07 04:23:48.039872 : Epoch  3, Batch    501, Loss  0.571752, Average Loss  0.576563, Time  0.461104
2021-09-07 04:23:49.910092 : Epoch  3, Batch    502, Loss  0.574856, Average Loss  0.576562, Time  0.462866
2021-09-07 04:23:51.782431 : Epoch  3, Batch    503, Loss  0.578196, Average Loss  0.576539, Time  0.460992
2021-09-07 04:23:53.662757 : Epoch  3, Batch    504, Loss  0.581286, Average Loss  0.576503, Time  0.460771
2021-09-07 04:23:55.531105 : Epoch  3, Batch    505, Loss  0.575335, Average Loss  0.576422, Time  0.460771
2021-09-07 04:23:57.400722 : Epoch  3, Batch    506, Loss  0.573376, Average Loss  0.576365, Time  0.460546
2021-09-07 04:23:59.271723 : Epoch  3, Batch    507, Loss  0.572432, Average Loss  0.576228, Time  0.461518
2021-09-07 04:24:01.157664 : Epoch  3, Batch    508, Loss  0.569271, Average Loss  0.576215, Time  0.461385
2021-09-07 04:24:03.050227 : Epoch  3, Batch    509, Loss  0.566896, Average Loss  0.576158, Time  0.461367
2021-09-07 04:24:04.943660 : Epoch  3, Batch    510, Loss  0.568547, Average Loss  0.576043, Time  0.461813
2021-09-07 04:24:06.834389 : Epoch  3, Batch    511, Loss  0.574649, Average Loss  0.576062, Time  0.462211
2021-09-07 04:24:08.729639 : Epoch  3, Batch    512, Loss  0.582200, Average Loss  0.576073, Time  0.461653
2021-09-07 04:24:10.603706 : Epoch  3, Batch    513, Loss  0.585605, Average Loss  0.576153, Time  0.461681
2021-09-07 04:24:12.496561 : Epoch  3, Batch    514, Loss  0.565394, Average Loss  0.576071, Time  0.460614
2021-09-07 04:24:14.386253 : Epoch  3, Batch    515, Loss  0.570278, Average Loss  0.576003, Time  0.461271
2021-09-07 04:24:16.276237 : Epoch  3, Batch    516, Loss  0.579765, Average Loss  0.576035, Time  0.462001
2021-09-07 04:24:18.162143 : Epoch  3, Batch    517, Loss  0.579929, Average Loss  0.576013, Time  0.461130
2021-09-07 04:24:20.058899 : Epoch  3, Batch    518, Loss  0.582451, Average Loss  0.576003, Time  0.460840
2021-09-07 04:24:21.929101 : Epoch  3, Batch    519, Loss  0.568037, Average Loss  0.575940, Time  0.461400
2021-09-07 04:24:23.802083 : Epoch  3, Batch    520, Loss  0.564200, Average Loss  0.575839, Time  0.460786
2021-09-07 04:24:25.673940 : Epoch  3, Batch    521, Loss  0.573484, Average Loss  0.575852, Time  0.462354
2021-09-07 04:24:27.566511 : Epoch  3, Batch    522, Loss  0.575233, Average Loss  0.575795, Time  0.461052
2021-09-07 04:24:29.438563 : Epoch  3, Batch    523, Loss  0.570287, Average Loss  0.575702, Time  0.460714
2021-09-07 04:24:31.307373 : Epoch  3, Batch    524, Loss  0.559674, Average Loss  0.575603, Time  0.462101
2021-09-07 04:24:33.185156 : Epoch  3, Batch    525, Loss  0.567660, Average Loss  0.575597, Time  0.461294
2021-09-07 04:24:35.056947 : Epoch  3, Batch    526, Loss  0.561310, Average Loss  0.575519, Time  0.460753
2021-09-07 04:25:39.122760 : CheckPoint: Validation Loss  0.00024291, Best Loss  0.00023508
2021-09-07 04:25:41.012382 : Epoch  3, Batch    527, Loss  0.579460, Average Loss  0.575483, Time  0.461312
2021-09-07 04:25:42.879047 : Epoch  3, Batch    528, Loss  0.565142, Average Loss  0.575392, Time  0.460795
2021-09-07 04:25:44.771568 : Epoch  3, Batch    529, Loss  0.575814, Average Loss  0.575359, Time  0.460743
2021-09-07 04:25:46.660394 : Epoch  3, Batch    530, Loss  0.567021, Average Loss  0.575267, Time  0.461020
2021-09-07 04:25:48.541442 : Epoch  3, Batch    531, Loss  0.584178, Average Loss  0.575305, Time  0.461699
2021-09-07 04:25:50.431700 : Epoch  3, Batch    532, Loss  0.556070, Average Loss  0.575174, Time  0.463492
2021-09-07 04:25:52.342213 : Epoch  3, Batch    533, Loss  0.570044, Average Loss  0.575116, Time  0.461413
2021-09-07 04:25:54.232577 : Epoch  3, Batch    534, Loss  0.585021, Average Loss  0.575177, Time  0.460525
2021-09-07 04:25:56.101044 : Epoch  3, Batch    535, Loss  0.562027, Average Loss  0.575061, Time  0.460418
2021-09-07 04:25:57.968449 : Epoch  3, Batch    536, Loss  0.571693, Average Loss  0.574952, Time  0.460299
2021-09-07 04:25:59.852097 : Epoch  3, Batch    537, Loss  0.565997, Average Loss  0.574881, Time  0.460753
2021-09-07 04:26:01.724275 : Epoch  3, Batch    538, Loss  0.577787, Average Loss  0.574905, Time  0.461364
2021-09-07 04:26:03.597180 : Epoch  3, Batch    539, Loss  0.579650, Average Loss  0.574912, Time  0.461356
2021-09-07 04:26:05.469312 : Epoch  3, Batch    540, Loss  0.567079, Average Loss  0.574817, Time  0.460741
2021-09-07 04:26:07.334013 : Epoch  3, Batch    541, Loss  0.577161, Average Loss  0.574813, Time  0.461294
2021-09-07 04:26:09.212318 : Epoch  3, Batch    542, Loss  0.562272, Average Loss  0.574750, Time  0.460866
2021-09-07 04:26:11.083820 : Epoch  3, Batch    543, Loss  0.576372, Average Loss  0.574818, Time  0.460941
2021-09-07 04:26:12.951051 : Epoch  3, Batch    544, Loss  0.569897, Average Loss  0.574797, Time  0.461046
2021-09-07 04:26:14.832627 : Epoch  3, Batch    545, Loss  0.572736, Average Loss  0.574734, Time  0.462793
2021-09-07 04:26:16.718957 : Epoch  3, Batch    546, Loss  0.563838, Average Loss  0.574664, Time  0.462770
2021-09-07 04:26:18.590843 : Epoch  3, Batch    547, Loss  0.562313, Average Loss  0.574567, Time  0.462611
2021-09-07 04:26:20.471705 : Epoch  3, Batch    548, Loss  0.566208, Average Loss  0.574528, Time  0.461437
2021-09-07 04:26:22.351824 : Epoch  3, Batch    549, Loss  0.564518, Average Loss  0.574446, Time  0.460672
2021-09-07 04:26:24.215712 : Epoch  3, Batch    550, Loss  0.572143, Average Loss  0.574456, Time  0.461081
2021-09-07 04:26:26.080598 : Epoch  3, Batch    551, Loss  0.562316, Average Loss  0.574378, Time  0.461187
2021-09-07 04:26:27.943656 : Epoch  3, Batch    552, Loss  0.574660, Average Loss  0.574334, Time  0.461412
2021-09-07 04:26:29.824814 : Epoch  3, Batch    553, Loss  0.570581, Average Loss  0.574323, Time  0.460971
2021-09-07 04:26:31.703897 : Epoch  3, Batch    554, Loss  0.564529, Average Loss  0.574281, Time  0.462067
2021-09-07 04:26:33.585240 : Epoch  3, Batch    555, Loss  0.567286, Average Loss  0.574194, Time  0.461435
2021-09-07 04:26:35.469184 : Epoch  3, Batch    556, Loss  0.576647, Average Loss  0.574210, Time  0.461610
2021-09-07 04:26:37.340630 : Epoch  3, Batch    557, Loss  0.572511, Average Loss  0.574176, Time  0.460669
2021-09-07 04:26:39.219147 : Epoch  3, Batch    558, Loss  0.578468, Average Loss  0.574172, Time  0.462729
2021-09-07 04:26:41.101797 : Epoch  3, Batch    559, Loss  0.577092, Average Loss  0.574132, Time  0.460782
2021-09-07 04:26:42.964758 : Epoch  3, Batch    560, Loss  0.566467, Average Loss  0.574074, Time  0.461180
2021-09-07 04:26:44.848615 : Epoch  3, Batch    561, Loss  0.566492, Average Loss  0.574085, Time  0.461580
2021-09-07 04:26:46.712534 : Epoch  3, Batch    562, Loss  0.583798, Average Loss  0.574106, Time  0.461155
2021-09-07 04:26:48.588795 : Epoch  3, Batch    563, Loss  0.583696, Average Loss  0.574253, Time  0.462384
2021-09-07 04:26:50.471457 : Epoch  3, Batch    564, Loss  0.578637, Average Loss  0.574263, Time  0.461374
2021-09-07 04:26:52.370938 : Epoch  3, Batch    565, Loss  0.574707, Average Loss  0.574313, Time  0.461679
2021-09-07 04:26:54.249581 : Epoch  3, Batch    566, Loss  0.570122, Average Loss  0.574307, Time  0.461135
2021-09-07 04:26:56.117590 : Epoch  3, Batch    567, Loss  0.566536, Average Loss  0.574267, Time  0.462903
2021-09-07 04:26:57.993293 : Epoch  3, Batch    568, Loss  0.566342, Average Loss  0.574193, Time  0.460977
2021-09-07 04:26:59.871971 : Epoch  3, Batch    569, Loss  0.579917, Average Loss  0.574274, Time  0.461737
2021-09-07 04:27:01.780222 : Epoch  3, Batch    570, Loss  0.567504, Average Loss  0.574222, Time  0.460821
2021-09-07 04:27:03.660444 : Epoch  3, Batch    571, Loss  0.586499, Average Loss  0.574230, Time  0.461768
2021-09-07 04:27:05.531370 : Epoch  3, Batch    572, Loss  0.584403, Average Loss  0.574296, Time  0.460771
2021-09-07 04:27:07.403229 : Epoch  3, Batch    573, Loss  0.558347, Average Loss  0.574254, Time  0.461487
2021-09-07 04:27:09.308399 : Epoch  3, Batch    574, Loss  0.560980, Average Loss  0.574182, Time  0.462291
2021-09-07 04:27:11.202650 : Epoch  3, Batch    575, Loss  0.559539, Average Loss  0.574109, Time  0.462761
2021-09-07 04:27:13.084251 : Epoch  3, Batch    576, Loss  0.570469, Average Loss  0.574064, Time  0.460954
2021-09-07 04:27:14.961009 : Epoch  3, Batch    577, Loss  0.565263, Average Loss  0.574082, Time  0.462137
2021-09-07 04:27:16.833328 : Epoch  3, Batch    578, Loss  0.572850, Average Loss  0.574128, Time  0.462510
2021-09-07 04:27:18.715381 : Epoch  3, Batch    579, Loss  0.567454, Average Loss  0.574097, Time  0.460824
2021-09-07 04:27:20.598983 : Epoch  3, Batch    580, Loss  0.565105, Average Loss  0.574036, Time  0.461916
2021-09-07 04:27:22.475252 : Epoch  3, Batch    581, Loss  0.572660, Average Loss  0.573981, Time  0.462067
2021-09-07 04:27:24.360846 : Epoch  3, Batch    582, Loss  0.573444, Average Loss  0.573957, Time  0.462523
2021-09-07 04:27:26.261626 : Epoch  3, Batch    583, Loss  0.571587, Average Loss  0.574003, Time  0.461100
2021-09-07 04:27:28.124537 : Epoch  3, Batch    584, Loss  0.563037, Average Loss  0.573914, Time  0.462340
2021-09-07 04:27:29.989932 : Epoch  3, Batch    585, Loss  0.559792, Average Loss  0.573830, Time  0.461691
2021-09-07 04:27:31.875380 : Epoch  3, Batch    586, Loss  0.574790, Average Loss  0.573853, Time  0.462184
2021-09-07 04:27:33.751849 : Epoch  3, Batch    587, Loss  0.570489, Average Loss  0.573858, Time  0.462014
2021-09-07 04:27:35.639944 : Epoch  3, Batch    588, Loss  0.566664, Average Loss  0.573835, Time  0.462784
2021-09-07 04:27:37.514632 : Epoch  3, Batch    589, Loss  0.570913, Average Loss  0.573790, Time  0.461633
2021-09-07 04:27:39.396786 : Epoch  3, Batch    590, Loss  0.569795, Average Loss  0.573735, Time  0.461263
2021-09-07 04:27:41.262295 : Epoch  3, Batch    591, Loss  0.555235, Average Loss  0.573658, Time  0.461150
2021-09-07 04:27:43.146438 : Epoch  3, Batch    592, Loss  0.575369, Average Loss  0.573692, Time  0.461178
2021-09-07 04:27:45.028264 : Epoch  3, Batch    593, Loss  0.560412, Average Loss  0.573581, Time  0.461465
2021-09-07 04:27:46.898291 : Epoch  3, Batch    594, Loss  0.576415, Average Loss  0.573562, Time  0.461140
2021-09-07 04:27:48.762786 : Epoch  3, Batch    595, Loss  0.555527, Average Loss  0.573469, Time  0.461441
2021-09-07 04:27:50.656026 : Epoch  3, Batch    596, Loss  0.576052, Average Loss  0.573415, Time  0.461596
2021-09-07 04:27:54.648098 : Epoch  3, Batch    597, Loss  0.578683, Average Loss  0.573397, Time  0.477231
2021-09-07 04:27:56.520778 : Epoch  3, Batch    598, Loss  0.567414, Average Loss  0.573358, Time  0.461065
2021-09-07 04:27:58.381480 : Epoch  3, Batch    599, Loss  0.557795, Average Loss  0.573251, Time  0.461395
2021-09-07 04:28:00.278071 : Epoch  3, Batch    600, Loss  0.571377, Average Loss  0.573217, Time  0.463256
2021-09-07 04:28:02.158807 : Epoch  3, Batch    601, Loss  0.570851, Average Loss  0.573194, Time  0.460846
2021-09-07 04:28:04.019292 : Epoch  3, Batch    602, Loss  0.581546, Average Loss  0.573265, Time  0.461511
2021-09-07 04:28:05.927264 : Epoch  3, Batch    603, Loss  0.594657, Average Loss  0.573387, Time  0.463157
2021-09-07 04:28:07.830066 : Epoch  3, Batch    604, Loss  0.569930, Average Loss  0.573340, Time  0.461735
2021-09-07 04:28:09.715448 : Epoch  3, Batch    605, Loss  0.571011, Average Loss  0.573307, Time  0.461558
2021-09-07 04:28:11.593766 : Epoch  3, Batch    606, Loss  0.581920, Average Loss  0.573380, Time  0.460791
2021-09-07 04:28:13.476272 : Epoch  3, Batch    607, Loss  0.570425, Average Loss  0.573409, Time  0.461966
2021-09-07 04:28:15.374072 : Epoch  3, Batch    608, Loss  0.575437, Average Loss  0.573382, Time  0.462146
2021-09-07 04:28:17.250731 : Epoch  3, Batch    609, Loss  0.576412, Average Loss  0.573408, Time  0.460667
2021-09-07 04:28:19.134831 : Epoch  3, Batch    610, Loss  0.572830, Average Loss  0.573339, Time  0.461885
2021-09-07 04:28:21.003813 : Epoch  3, Batch    611, Loss  0.586464, Average Loss  0.573377, Time  0.461060
2021-09-07 04:28:22.877922 : Epoch  3, Batch    612, Loss  0.576602, Average Loss  0.573382, Time  0.461454
2021-09-07 04:28:24.763092 : Epoch  3, Batch    613, Loss  0.565670, Average Loss  0.573296, Time  0.460989
2021-09-07 04:28:26.630171 : Epoch  3, Batch    614, Loss  0.575789, Average Loss  0.573332, Time  0.462035
2021-09-07 04:28:28.500379 : Epoch  3, Batch    615, Loss  0.578237, Average Loss  0.573444, Time  0.461631
2021-09-07 04:28:30.362635 : Epoch  3, Batch    616, Loss  0.587980, Average Loss  0.573476, Time  0.460426
2021-09-07 04:28:32.227516 : Epoch  3, Batch    617, Loss  0.564004, Average Loss  0.573375, Time  0.461271
2021-09-07 04:28:34.104640 : Epoch  3, Batch    618, Loss  0.575756, Average Loss  0.573380, Time  0.461019
2021-09-07 04:28:35.994276 : Epoch  3, Batch    619, Loss  0.583240, Average Loss  0.573406, Time  0.461089
2021-09-07 04:28:37.859989 : Epoch  3, Batch    620, Loss  0.569791, Average Loss  0.573334, Time  0.461122
2021-09-07 04:28:39.722340 : Epoch  3, Batch    621, Loss  0.566930, Average Loss  0.573205, Time  0.460728
2021-09-07 04:28:41.604273 : Epoch  3, Batch    622, Loss  0.558767, Average Loss  0.573195, Time  0.461594
2021-09-07 04:28:43.502981 : Epoch  3, Batch    623, Loss  0.573269, Average Loss  0.573158, Time  0.461780
2021-09-07 04:28:45.389993 : Epoch  3, Batch    624, Loss  0.565627, Average Loss  0.573147, Time  0.462013
2021-09-07 04:28:47.268574 : Epoch  3, Batch    625, Loss  0.561626, Average Loss  0.573028, Time  0.461941
2021-09-07 04:28:49.136644 : Epoch  3, Batch    626, Loss  0.565692, Average Loss  0.572993, Time  0.461144
2021-09-07 04:29:53.280498 : CheckPoint: Validation Loss  0.00023780, Best Loss  0.00023508
2021-09-07 04:29:55.160520 : Epoch  3, Batch    627, Loss  0.572081, Average Loss  0.573033, Time  0.461423
2021-09-07 04:29:57.027510 : Epoch  3, Batch    628, Loss  0.568703, Average Loss  0.572974, Time  0.460741
2021-09-07 04:29:58.895078 : Epoch  3, Batch    629, Loss  0.577534, Average Loss  0.572933, Time  0.460756
2021-09-07 04:30:00.796369 : Epoch  3, Batch    630, Loss  0.563845, Average Loss  0.572908, Time  0.461343
2021-09-07 04:30:02.672857 : Epoch  3, Batch    631, Loss  0.571532, Average Loss  0.572864, Time  0.461416
2021-09-07 04:30:04.548019 : Epoch  3, Batch    632, Loss  0.570984, Average Loss  0.572819, Time  0.460976
2021-09-07 04:30:06.416161 : Epoch  3, Batch    633, Loss  0.554155, Average Loss  0.572701, Time  0.461510
2021-09-07 04:30:08.301053 : Epoch  3, Batch    634, Loss  0.566880, Average Loss  0.572675, Time  0.461154
2021-09-07 04:30:10.159520 : Epoch  3, Batch    635, Loss  0.572825, Average Loss  0.572615, Time  0.461004
2021-09-07 04:30:12.017031 : Epoch  3, Batch    636, Loss  0.570947, Average Loss  0.572543, Time  0.460604
2021-09-07 04:30:13.883457 : Epoch  3, Batch    637, Loss  0.565260, Average Loss  0.572459, Time  0.460450
2021-09-07 04:30:15.747950 : Epoch  3, Batch    638, Loss  0.577680, Average Loss  0.572511, Time  0.460624
2021-09-07 04:30:17.616769 : Epoch  3, Batch    639, Loss  0.553213, Average Loss  0.572430, Time  0.461180
2021-09-07 04:30:19.482532 : Epoch  3, Batch    640, Loss  0.564930, Average Loss  0.572376, Time  0.460354
2021-09-07 04:30:21.346044 : Epoch  3, Batch    641, Loss  0.583492, Average Loss  0.572392, Time  0.461118
2021-09-07 04:30:23.215933 : Epoch  3, Batch    642, Loss  0.565711, Average Loss  0.572332, Time  0.460475
2021-09-07 04:30:25.070779 : Epoch  3, Batch    643, Loss  0.574076, Average Loss  0.572281, Time  0.460243
2021-09-07 04:30:26.944022 : Epoch  3, Batch    644, Loss  0.575037, Average Loss  0.572257, Time  0.460342
2021-09-07 04:30:28.807826 : Epoch  3, Batch    645, Loss  0.575593, Average Loss  0.572246, Time  0.461287
2021-09-07 04:30:30.710521 : Epoch  3, Batch    646, Loss  0.566179, Average Loss  0.572202, Time  0.462198
2021-09-07 04:30:32.582936 : Epoch  3, Batch    647, Loss  0.574919, Average Loss  0.572202, Time  0.460483
2021-09-07 04:30:34.449466 : Epoch  3, Batch    648, Loss  0.581784, Average Loss  0.572210, Time  0.461475
2021-09-07 04:30:36.341110 : Epoch  3, Batch    649, Loss  0.573386, Average Loss  0.572209, Time  0.461490
2021-09-07 04:30:38.226323 : Epoch  3, Batch    650, Loss  0.571536, Average Loss  0.572130, Time  0.461628
2021-09-07 04:30:40.104833 : Epoch  3, Batch    651, Loss  0.572513, Average Loss  0.572118, Time  0.460718
2021-09-07 04:30:41.978655 : Epoch  3, Batch    652, Loss  0.585807, Average Loss  0.572179, Time  0.461665
2021-09-07 04:30:43.854944 : Epoch  3, Batch    653, Loss  0.565439, Average Loss  0.572096, Time  0.460767
2021-09-07 04:30:45.725489 : Epoch  3, Batch    654, Loss  0.573733, Average Loss  0.572132, Time  0.461773
2021-09-07 04:30:47.599715 : Epoch  3, Batch    655, Loss  0.568594, Average Loss  0.572090, Time  0.461574
2021-09-07 04:30:49.477308 : Epoch  3, Batch    656, Loss  0.546481, Average Loss  0.571997, Time  0.460112
2021-09-07 04:30:51.351438 : Epoch  3, Batch    657, Loss  0.585698, Average Loss  0.572062, Time  0.460812
2021-09-07 04:30:53.221659 : Epoch  3, Batch    658, Loss  0.567876, Average Loss  0.572030, Time  0.462442
2021-09-07 04:30:55.089258 : Epoch  3, Batch    659, Loss  0.572015, Average Loss  0.572039, Time  0.461210
2021-09-07 04:30:56.963055 : Epoch  3, Batch    660, Loss  0.571378, Average Loss  0.572040, Time  0.460075
2021-09-07 04:30:58.831844 : Epoch  3, Batch    661, Loss  0.575832, Average Loss  0.572049, Time  0.461742
2021-09-07 04:31:00.712873 : Epoch  3, Batch    662, Loss  0.568091, Average Loss  0.572062, Time  0.460735
2021-09-07 04:31:02.594033 : Epoch  3, Batch    663, Loss  0.566926, Average Loss  0.572002, Time  0.461885
2021-09-07 04:31:04.465946 : Epoch  3, Batch    664, Loss  0.579151, Average Loss  0.571990, Time  0.461793
2021-09-07 04:31:06.351676 : Epoch  3, Batch    665, Loss  0.567444, Average Loss  0.571891, Time  0.461477
2021-09-07 04:31:08.234471 : Epoch  3, Batch    666, Loss  0.561814, Average Loss  0.571776, Time  0.462085
2021-09-07 04:31:10.094608 : Epoch  3, Batch    667, Loss  0.557898, Average Loss  0.571674, Time  0.460750
2021-09-07 04:31:11.976463 : Epoch  3, Batch    668, Loss  0.574519, Average Loss  0.571663, Time  0.460922
2021-09-07 04:31:13.850590 : Epoch  3, Batch    669, Loss  0.563595, Average Loss  0.571540, Time  0.461798
2021-09-07 04:31:15.760814 : Epoch  3, Batch    670, Loss  0.570089, Average Loss  0.571569, Time  0.461785
2021-09-07 04:31:17.641050 : Epoch  3, Batch    671, Loss  0.547996, Average Loss  0.571436, Time  0.461962
2021-09-07 04:31:19.521398 : Epoch  3, Batch    672, Loss  0.570159, Average Loss  0.571511, Time  0.460926
2021-09-07 04:31:21.385989 : Epoch  3, Batch    673, Loss  0.564599, Average Loss  0.571546, Time  0.460879
2021-09-07 04:31:23.264490 : Epoch  3, Batch    674, Loss  0.566618, Average Loss  0.571537, Time  0.462082
2021-09-07 04:31:25.131545 : Epoch  3, Batch    675, Loss  0.570950, Average Loss  0.571539, Time  0.461120
2021-09-07 04:31:27.014110 : Epoch  3, Batch    676, Loss  0.577304, Average Loss  0.571491, Time  0.460736
2021-09-07 04:31:28.893470 : Epoch  3, Batch    677, Loss  0.568558, Average Loss  0.571452, Time  0.463258
2021-09-07 04:31:30.759382 : Epoch  3, Batch    678, Loss  0.563744, Average Loss  0.571430, Time  0.461195
2021-09-07 04:31:32.651909 : Epoch  3, Batch    679, Loss  0.567819, Average Loss  0.571319, Time  0.462068
2021-09-07 04:31:34.521431 : Epoch  3, Batch    680, Loss  0.567975, Average Loss  0.571276, Time  0.460780
2021-09-07 04:31:36.383295 : Epoch  3, Batch    681, Loss  0.569989, Average Loss  0.571235, Time  0.460525
2021-09-07 04:31:38.252080 : Epoch  3, Batch    682, Loss  0.555695, Average Loss  0.571125, Time  0.460637
2021-09-07 04:31:40.117050 : Epoch  3, Batch    683, Loss  0.574353, Average Loss  0.571145, Time  0.460579
2021-09-07 04:31:41.991851 : Epoch  3, Batch    684, Loss  0.566644, Average Loss  0.571102, Time  0.461500
2021-09-07 04:31:43.889935 : Epoch  3, Batch    685, Loss  0.566286, Average Loss  0.571007, Time  0.462008
2021-09-07 04:31:45.781413 : Epoch  3, Batch    686, Loss  0.562709, Average Loss  0.570900, Time  0.461429
2021-09-07 04:31:47.666293 : Epoch  3, Batch    687, Loss  0.560733, Average Loss  0.570862, Time  0.460795
2021-09-07 04:31:49.541464 : Epoch  3, Batch    688, Loss  0.562092, Average Loss  0.570813, Time  0.462094
2021-09-07 04:31:51.417234 : Epoch  3, Batch    689, Loss  0.567199, Average Loss  0.570846, Time  0.461845
2021-09-07 04:31:53.306685 : Epoch  3, Batch    690, Loss  0.563481, Average Loss  0.570716, Time  0.461157
2021-09-07 04:31:55.179378 : Epoch  3, Batch    691, Loss  0.560104, Average Loss  0.570634, Time  0.460962
2021-09-07 04:31:57.059322 : Epoch  3, Batch    692, Loss  0.569824, Average Loss  0.570658, Time  0.462221
2021-09-07 04:31:58.933451 : Epoch  3, Batch    693, Loss  0.568984, Average Loss  0.570712, Time  0.460813
2021-09-07 04:32:00.815038 : Epoch  3, Batch    694, Loss  0.548637, Average Loss  0.570575, Time  0.461093
2021-09-07 04:32:02.710766 : Epoch  3, Batch    695, Loss  0.574677, Average Loss  0.570585, Time  0.461733
2021-09-07 04:32:04.605450 : Epoch  3, Batch    696, Loss  0.562851, Average Loss  0.570532, Time  0.461332
2021-09-07 04:32:08.578558 : Epoch  3, Batch    697, Loss  0.557691, Average Loss  0.570433, Time  0.474048
2021-09-07 04:32:10.465816 : Epoch  3, Batch    698, Loss  0.562369, Average Loss  0.570311, Time  0.462445
2021-09-07 04:32:12.344697 : Epoch  3, Batch    699, Loss  0.567598, Average Loss  0.570271, Time  0.460465
2021-09-07 04:32:14.200834 : Epoch  3, Batch    700, Loss  0.562189, Average Loss  0.570253, Time  0.460434
2021-09-07 04:32:16.076098 : Epoch  3, Batch    701, Loss  0.575903, Average Loss  0.570274, Time  0.461090
2021-09-07 04:32:17.932362 : Epoch  3, Batch    702, Loss  0.556723, Average Loss  0.570184, Time  0.460953
2021-09-07 04:32:19.793417 : Epoch  3, Batch    703, Loss  0.577841, Average Loss  0.570182, Time  0.461025
2021-09-07 04:32:21.655153 : Epoch  3, Batch    704, Loss  0.560415, Average Loss  0.570077, Time  0.460629
2021-09-07 04:32:23.531687 : Epoch  3, Batch    705, Loss  0.549012, Average Loss  0.569946, Time  0.462009
2021-09-07 04:32:25.432947 : Epoch  3, Batch    706, Loss  0.562570, Average Loss  0.569892, Time  0.460846
2021-09-07 04:32:27.310185 : Epoch  3, Batch    707, Loss  0.560961, Average Loss  0.569834, Time  0.462795
2021-09-07 04:32:29.180043 : Epoch  3, Batch    708, Loss  0.552765, Average Loss  0.569752, Time  0.462397
2021-09-07 04:32:31.058536 : Epoch  3, Batch    709, Loss  0.587636, Average Loss  0.569856, Time  0.460945
2021-09-07 04:32:32.926818 : Epoch  3, Batch    710, Loss  0.576883, Average Loss  0.569897, Time  0.461251
2021-09-07 04:32:34.798141 : Epoch  3, Batch    711, Loss  0.574935, Average Loss  0.569899, Time  0.461217
2021-09-07 04:32:36.687316 : Epoch  3, Batch    712, Loss  0.572592, Average Loss  0.569851, Time  0.460622
2021-09-07 04:32:38.570795 : Epoch  3, Batch    713, Loss  0.584792, Average Loss  0.569847, Time  0.461712
2021-09-07 04:32:40.460905 : Epoch  3, Batch    714, Loss  0.568934, Average Loss  0.569864, Time  0.460893
2021-09-07 04:32:42.339446 : Epoch  3, Batch    715, Loss  0.562431, Average Loss  0.569825, Time  0.461766
2021-09-07 04:32:44.224471 : Epoch  3, Batch    716, Loss  0.561400, Average Loss  0.569733, Time  0.462147
2021-09-07 04:32:46.105624 : Epoch  3, Batch    717, Loss  0.567806, Average Loss  0.569673, Time  0.462077
2021-09-07 04:32:47.979541 : Epoch  3, Batch    718, Loss  0.573898, Average Loss  0.569630, Time  0.461449
2021-09-07 04:32:49.868437 : Epoch  3, Batch    719, Loss  0.555036, Average Loss  0.569565, Time  0.462953
2021-09-07 04:32:51.743530 : Epoch  3, Batch    720, Loss  0.565547, Average Loss  0.569572, Time  0.461759
2021-09-07 04:32:53.617191 : Epoch  3, Batch    721, Loss  0.556901, Average Loss  0.569489, Time  0.461276
2021-09-07 04:32:55.485521 : Epoch  3, Batch    722, Loss  0.566692, Average Loss  0.569446, Time  0.460833
2021-09-07 04:32:57.348792 : Epoch  3, Batch    723, Loss  0.551199, Average Loss  0.569350, Time  0.460753
2021-09-07 04:32:59.226713 : Epoch  3, Batch    724, Loss  0.560654, Average Loss  0.569355, Time  0.461785
2021-09-07 04:33:01.109619 : Epoch  3, Batch    725, Loss  0.564467, Average Loss  0.569339, Time  0.461010
2021-09-07 04:33:02.976592 : Epoch  3, Batch    726, Loss  0.569281, Average Loss  0.569379, Time  0.461008
2021-09-07 04:34:06.869377 : CheckPoint: Validation Loss  0.00023701, Best Loss  0.00023508
2021-09-07 04:34:08.773156 : Epoch  3, Batch    727, Loss  0.568958, Average Loss  0.569327, Time  0.462317
2021-09-07 04:34:10.665470 : Epoch  3, Batch    728, Loss  0.564536, Average Loss  0.569324, Time  0.460892
2021-09-07 04:34:12.537755 : Epoch  3, Batch    729, Loss  0.548949, Average Loss  0.569189, Time  0.461328
2021-09-07 04:34:14.421888 : Epoch  3, Batch    730, Loss  0.566526, Average Loss  0.569187, Time  0.462391
2021-09-07 04:34:16.290232 : Epoch  3, Batch    731, Loss  0.564350, Average Loss  0.569088, Time  0.461507
2021-09-07 04:34:18.178636 : Epoch  3, Batch    732, Loss  0.573791, Average Loss  0.569176, Time  0.461402
2021-09-07 04:34:20.078092 : Epoch  3, Batch    733, Loss  0.573277, Average Loss  0.569193, Time  0.461726
2021-09-07 04:34:21.952990 : Epoch  3, Batch    734, Loss  0.550325, Average Loss  0.569019, Time  0.460393
2021-09-07 04:34:23.818784 : Epoch  3, Batch    735, Loss  0.559904, Average Loss  0.569008, Time  0.460727
2021-09-07 04:34:25.690687 : Epoch  3, Batch    736, Loss  0.568393, Average Loss  0.568992, Time  0.461283
2021-09-07 04:34:27.559861 : Epoch  3, Batch    737, Loss  0.560864, Average Loss  0.568966, Time  0.460937
2021-09-07 04:34:29.422726 : Epoch  3, Batch    738, Loss  0.563915, Average Loss  0.568897, Time  0.460578
2021-09-07 04:34:31.300224 : Epoch  3, Batch    739, Loss  0.572955, Average Loss  0.568863, Time  0.461183
2021-09-07 04:34:33.166960 : Epoch  3, Batch    740, Loss  0.558023, Average Loss  0.568818, Time  0.460921
2021-09-07 04:34:35.049445 : Epoch  3, Batch    741, Loss  0.558475, Average Loss  0.568725, Time  0.460830
2021-09-07 04:34:36.927351 : Epoch  3, Batch    742, Loss  0.563718, Average Loss  0.568732, Time  0.461489
2021-09-07 04:34:38.787924 : Epoch  3, Batch    743, Loss  0.572000, Average Loss  0.568710, Time  0.460799
2021-09-07 04:34:40.664929 : Epoch  3, Batch    744, Loss  0.562943, Average Loss  0.568675, Time  0.461760
2021-09-07 04:34:42.532612 : Epoch  3, Batch    745, Loss  0.578732, Average Loss  0.568705, Time  0.460776
2021-09-07 04:34:44.403542 : Epoch  3, Batch    746, Loss  0.570134, Average Loss  0.568737, Time  0.461318
2021-09-07 04:34:46.268515 : Epoch  3, Batch    747, Loss  0.575783, Average Loss  0.568804, Time  0.460817
2021-09-07 04:34:48.150033 : Epoch  3, Batch    748, Loss  0.581381, Average Loss  0.568880, Time  0.460913
2021-09-07 04:34:50.013032 : Epoch  3, Batch    749, Loss  0.554515, Average Loss  0.568830, Time  0.461123
2021-09-07 04:34:51.876473 : Epoch  3, Batch    750, Loss  0.565716, Average Loss  0.568798, Time  0.461350
2021-09-07 04:34:53.762149 : Epoch  3, Batch    751, Loss  0.576267, Average Loss  0.568868, Time  0.461720
2021-09-07 04:34:55.623649 : Epoch  3, Batch    752, Loss  0.566496, Average Loss  0.568827, Time  0.461518
2021-09-07 04:34:57.501578 : Epoch  3, Batch    753, Loss  0.555663, Average Loss  0.568752, Time  0.461089
2021-09-07 04:34:59.374514 : Epoch  3, Batch    754, Loss  0.563319, Average Loss  0.568746, Time  0.461282
2021-09-07 04:35:01.243130 : Epoch  3, Batch    755, Loss  0.554700, Average Loss  0.568683, Time  0.461493
2021-09-07 04:35:03.105058 : Epoch  3, Batch    756, Loss  0.567180, Average Loss  0.568636, Time  0.460362
2021-09-07 04:35:04.989095 : Epoch  3, Batch    757, Loss  0.553969, Average Loss  0.568543, Time  0.463452
2021-09-07 04:35:06.865918 : Epoch  3, Batch    758, Loss  0.569425, Average Loss  0.568498, Time  0.460568
2021-09-07 04:35:08.750466 : Epoch  3, Batch    759, Loss  0.559643, Average Loss  0.568411, Time  0.460654
2021-09-07 04:35:10.613653 : Epoch  3, Batch    760, Loss  0.555811, Average Loss  0.568357, Time  0.460882
2021-09-07 04:35:12.481033 : Epoch  3, Batch    761, Loss  0.565123, Average Loss  0.568351, Time  0.461248
2021-09-07 04:35:14.358441 : Epoch  3, Batch    762, Loss  0.555766, Average Loss  0.568210, Time  0.460789
2021-09-07 04:35:16.239973 : Epoch  3, Batch    763, Loss  0.570853, Average Loss  0.568146, Time  0.460841
2021-09-07 04:35:18.109762 : Epoch  3, Batch    764, Loss  0.563990, Average Loss  0.568073, Time  0.461854
2021-09-07 04:35:19.969777 : Epoch  3, Batch    765, Loss  0.566755, Average Loss  0.568033, Time  0.461020
2021-09-07 04:35:21.837748 : Epoch  3, Batch    766, Loss  0.559297, Average Loss  0.567979, Time  0.460851
2021-09-07 04:35:23.721624 : Epoch  3, Batch    767, Loss  0.560396, Average Loss  0.567948, Time  0.460858
2021-09-07 04:35:25.589095 : Epoch  3, Batch    768, Loss  0.571479, Average Loss  0.567974, Time  0.460702
2021-09-07 04:35:27.470428 : Epoch  3, Batch    769, Loss  0.567996, Average Loss  0.567914, Time  0.460831
2021-09-07 04:35:29.345649 : Epoch  3, Batch    770, Loss  0.572341, Average Loss  0.567939, Time  0.461303
2021-09-07 04:35:31.233262 : Epoch  3, Batch    771, Loss  0.569898, Average Loss  0.567856, Time  0.462026
2021-09-07 04:35:33.115660 : Epoch  3, Batch    772, Loss  0.554880, Average Loss  0.567708, Time  0.460746
2021-09-07 04:35:35.004559 : Epoch  3, Batch    773, Loss  0.565089, Average Loss  0.567742, Time  0.462519
2021-09-07 04:35:36.875945 : Epoch  3, Batch    774, Loss  0.556945, Average Loss  0.567722, Time  0.461582
2021-09-07 04:35:38.755173 : Epoch  3, Batch    775, Loss  0.566824, Average Loss  0.567758, Time  0.461602
2021-09-07 04:35:40.644974 : Epoch  3, Batch    776, Loss  0.565214, Average Loss  0.567732, Time  0.462208
2021-09-07 04:35:42.519664 : Epoch  3, Batch    777, Loss  0.549650, Average Loss  0.567654, Time  0.460864
2021-09-07 04:35:44.405231 : Epoch  3, Batch    778, Loss  0.548063, Average Loss  0.567530, Time  0.462986
2021-09-07 04:35:46.299628 : Epoch  3, Batch    779, Loss  0.546032, Average Loss  0.567423, Time  0.462499
2021-09-07 04:35:48.169137 : Epoch  3, Batch    780, Loss  0.558030, Average Loss  0.567387, Time  0.461101
2021-09-07 04:35:50.055751 : Epoch  3, Batch    781, Loss  0.563675, Average Loss  0.567342, Time  0.461692
2021-09-07 04:35:51.949126 : Epoch  3, Batch    782, Loss  0.567743, Average Loss  0.567314, Time  0.460716
2021-09-07 04:35:53.814431 : Epoch  3, Batch    783, Loss  0.561234, Average Loss  0.567262, Time  0.461018
2021-09-07 04:35:55.686217 : Epoch  3, Batch    784, Loss  0.554957, Average Loss  0.567222, Time  0.461525
2021-09-07 04:35:57.567303 : Epoch  3, Batch    785, Loss  0.566792, Average Loss  0.567257, Time  0.460985
2021-09-07 04:35:59.437695 : Epoch  3, Batch    786, Loss  0.556407, Average Loss  0.567165, Time  0.461529
2021-09-07 04:36:01.322203 : Epoch  3, Batch    787, Loss  0.554458, Average Loss  0.567085, Time  0.460805
2021-09-07 04:36:01.349048 : Saving Model after 3-th Epoch.
2021-09-07 04:36:04.773211 : Epoch Finished.
2021-09-07 04:36:06.826691 : Batch Shuffled
2021-09-07 04:36:08.716396 : Epoch  4, Batch      1, Loss  0.566852, Average Loss  0.567085, Time  0.473529
2021-09-07 04:36:10.602062 : Epoch  4, Batch      2, Loss  0.561938, Average Loss  0.567041, Time  0.461500
2021-09-07 04:36:12.464703 : Epoch  4, Batch      3, Loss  0.561831, Average Loss  0.567001, Time  0.461982
2021-09-07 04:36:14.344758 : Epoch  4, Batch      4, Loss  0.572142, Average Loss  0.567085, Time  0.461724
2021-09-07 04:36:16.225049 : Epoch  4, Batch      5, Loss  0.563617, Average Loss  0.567027, Time  0.462389
2021-09-07 04:36:18.111134 : Epoch  4, Batch      6, Loss  0.558293, Average Loss  0.567016, Time  0.461843
2021-09-07 04:36:20.003505 : Epoch  4, Batch      7, Loss  0.558517, Average Loss  0.566926, Time  0.462112
2021-09-07 04:36:21.890315 : Epoch  4, Batch      8, Loss  0.569158, Average Loss  0.566995, Time  0.461413
2021-09-07 04:36:23.757760 : Epoch  4, Batch      9, Loss  0.568889, Average Loss  0.566959, Time  0.461429
2021-09-07 04:36:25.637418 : Epoch  4, Batch     10, Loss  0.573004, Average Loss  0.566930, Time  0.460780
2021-09-07 04:36:27.501372 : Epoch  4, Batch     11, Loss  0.561259, Average Loss  0.566900, Time  0.460670
2021-09-07 04:36:29.375166 : Epoch  4, Batch     12, Loss  0.564748, Average Loss  0.566934, Time  0.460756
2021-09-07 04:36:31.237573 : Epoch  4, Batch     13, Loss  0.560461, Average Loss  0.566880, Time  0.460592
2021-09-07 04:36:33.152832 : Epoch  4, Batch     14, Loss  0.571460, Average Loss  0.566883, Time  0.461093
2021-09-07 04:36:35.038415 : Epoch  4, Batch     15, Loss  0.563944, Average Loss  0.566795, Time  0.460798
2021-09-07 04:36:36.914009 : Epoch  4, Batch     16, Loss  0.568084, Average Loss  0.566662, Time  0.461584
2021-09-07 04:36:38.784186 : Epoch  4, Batch     17, Loss  0.572285, Average Loss  0.566674, Time  0.461943
2021-09-07 04:36:40.655769 : Epoch  4, Batch     18, Loss  0.570897, Average Loss  0.566673, Time  0.460717
2021-09-07 04:36:42.522990 : Epoch  4, Batch     19, Loss  0.551394, Average Loss  0.566521, Time  0.460751
2021-09-07 04:36:44.386947 : Epoch  4, Batch     20, Loss  0.581034, Average Loss  0.566574, Time  0.461758
2021-09-07 04:36:46.266800 : Epoch  4, Batch     21, Loss  0.569616, Average Loss  0.566545, Time  0.461151
2021-09-07 04:36:48.148545 : Epoch  4, Batch     22, Loss  0.551600, Average Loss  0.566420, Time  0.462202
2021-09-07 04:36:50.031510 : Epoch  4, Batch     23, Loss  0.561444, Average Loss  0.566364, Time  0.461117
2021-09-07 04:36:51.907536 : Epoch  4, Batch     24, Loss  0.566371, Average Loss  0.566263, Time  0.461062
2021-09-07 04:36:53.771286 : Epoch  4, Batch     25, Loss  0.564750, Average Loss  0.566204, Time  0.460557
2021-09-07 04:36:55.637108 : Epoch  4, Batch     26, Loss  0.559625, Average Loss  0.566174, Time  0.461112
2021-09-07 04:36:57.505805 : Epoch  4, Batch     27, Loss  0.575154, Average Loss  0.566170, Time  0.461791
2021-09-07 04:36:59.391128 : Epoch  4, Batch     28, Loss  0.566180, Average Loss  0.566110, Time  0.461517
2021-09-07 04:37:01.284465 : Epoch  4, Batch     29, Loss  0.568062, Average Loss  0.566011, Time  0.462439
2021-09-07 04:37:03.164710 : Epoch  4, Batch     30, Loss  0.568052, Average Loss  0.566031, Time  0.460940
2021-09-07 04:37:05.025329 : Epoch  4, Batch     31, Loss  0.554968, Average Loss  0.565927, Time  0.461972
2021-09-07 04:37:06.908231 : Epoch  4, Batch     32, Loss  0.563243, Average Loss  0.565827, Time  0.461236
2021-09-07 04:37:08.772319 : Epoch  4, Batch     33, Loss  0.565213, Average Loss  0.565804, Time  0.460951
2021-09-07 04:37:10.637231 : Epoch  4, Batch     34, Loss  0.565384, Average Loss  0.565796, Time  0.460568
2021-09-07 04:37:12.502668 : Epoch  4, Batch     35, Loss  0.575886, Average Loss  0.565882, Time  0.460550
2021-09-07 04:37:14.374769 : Epoch  4, Batch     36, Loss  0.578442, Average Loss  0.565908, Time  0.461317
2021-09-07 04:37:16.255001 : Epoch  4, Batch     37, Loss  0.565106, Average Loss  0.565905, Time  0.462341
2021-09-07 04:37:18.159172 : Epoch  4, Batch     38, Loss  0.561391, Average Loss  0.565904, Time  0.461507
2021-09-07 04:37:20.048182 : Epoch  4, Batch     39, Loss  0.566251, Average Loss  0.565907, Time  0.460856
2021-09-07 04:38:24.023636 : CheckPoint: Validation Loss  0.00023116, Best Loss  0.00023116
2021-09-07 04:38:24.059684 : Best Model Updated
2021-09-07 04:38:29.388530 : Epoch  4, Batch     40, Loss  0.570362, Average Loss  0.565898, Time  0.475215
2021-09-07 04:38:31.289037 : Epoch  4, Batch     41, Loss  0.572023, Average Loss  0.565915, Time  0.462113
2021-09-07 04:38:33.171791 : Epoch  4, Batch     42, Loss  0.578907, Average Loss  0.565922, Time  0.461760
2021-09-07 04:38:35.052995 : Epoch  4, Batch     43, Loss  0.567781, Average Loss  0.565941, Time  0.462269
2021-09-07 04:38:36.940462 : Epoch  4, Batch     44, Loss  0.571160, Average Loss  0.565939, Time  0.461943
2021-09-07 04:38:38.818555 : Epoch  4, Batch     45, Loss  0.576004, Average Loss  0.565964, Time  0.461038
2021-09-07 04:38:40.686574 : Epoch  4, Batch     46, Loss  0.556451, Average Loss  0.565976, Time  0.460721
2021-09-07 04:38:42.564965 : Epoch  4, Batch     47, Loss  0.556124, Average Loss  0.565922, Time  0.462208
2021-09-07 04:38:44.452822 : Epoch  4, Batch     48, Loss  0.572556, Average Loss  0.565921, Time  0.461300
2021-09-07 04:38:46.318082 : Epoch  4, Batch     49, Loss  0.566028, Average Loss  0.565896, Time  0.460947
2021-09-07 04:38:48.179062 : Epoch  4, Batch     50, Loss  0.562663, Average Loss  0.565883, Time  0.460316
2021-09-07 04:38:50.054774 : Epoch  4, Batch     51, Loss  0.566774, Average Loss  0.565829, Time  0.461049
2021-09-07 04:38:51.928272 : Epoch  4, Batch     52, Loss  0.566628, Average Loss  0.565896, Time  0.461287
2021-09-07 04:38:53.814505 : Epoch  4, Batch     53, Loss  0.560251, Average Loss  0.565872, Time  0.461501
2021-09-07 04:38:55.692042 : Epoch  4, Batch     54, Loss  0.563933, Average Loss  0.565775, Time  0.461550
2021-09-07 04:38:57.580099 : Epoch  4, Batch     55, Loss  0.554703, Average Loss  0.565720, Time  0.461310
2021-09-07 04:38:59.467589 : Epoch  4, Batch     56, Loss  0.558843, Average Loss  0.565643, Time  0.460924
2021-09-07 04:39:01.336495 : Epoch  4, Batch     57, Loss  0.562212, Average Loss  0.565579, Time  0.460678
2021-09-07 04:39:03.203171 : Epoch  4, Batch     58, Loss  0.562652, Average Loss  0.565515, Time  0.461192
2021-09-07 04:39:05.076971 : Epoch  4, Batch     59, Loss  0.568554, Average Loss  0.565526, Time  0.460584
2021-09-07 04:39:06.947949 : Epoch  4, Batch     60, Loss  0.565012, Average Loss  0.565477, Time  0.460940
2021-09-07 04:39:08.831526 : Epoch  4, Batch     61, Loss  0.567503, Average Loss  0.565406, Time  0.461926
2021-09-07 04:39:10.706835 : Epoch  4, Batch     62, Loss  0.565087, Average Loss  0.565364, Time  0.460711
2021-09-07 04:39:12.589959 : Epoch  4, Batch     63, Loss  0.543458, Average Loss  0.565224, Time  0.461372
2021-09-07 04:39:14.461631 : Epoch  4, Batch     64, Loss  0.571698, Average Loss  0.565220, Time  0.460602
2021-09-07 04:39:16.360692 : Epoch  4, Batch     65, Loss  0.561695, Average Loss  0.565099, Time  0.462301
2021-09-07 04:39:18.238613 : Epoch  4, Batch     66, Loss  0.565029, Average Loss  0.565097, Time  0.461909
2021-09-07 04:39:20.130199 : Epoch  4, Batch     67, Loss  0.564369, Average Loss  0.565050, Time  0.461645
2021-09-07 04:39:22.016941 : Epoch  4, Batch     68, Loss  0.556795, Average Loss  0.564991, Time  0.461930
2021-09-07 04:39:23.913571 : Epoch  4, Batch     69, Loss  0.567946, Average Loss  0.565098, Time  0.462062
2021-09-07 04:39:25.808062 : Epoch  4, Batch     70, Loss  0.563766, Average Loss  0.564989, Time  0.462483
2021-09-07 04:39:27.691331 : Epoch  4, Batch     71, Loss  0.570236, Average Loss  0.565001, Time  0.460765
2021-09-07 04:39:29.556990 : Epoch  4, Batch     72, Loss  0.558379, Average Loss  0.564932, Time  0.462299
2021-09-07 04:39:31.438445 : Epoch  4, Batch     73, Loss  0.569802, Average Loss  0.564925, Time  0.461043
2021-09-07 04:39:33.303532 : Epoch  4, Batch     74, Loss  0.566224, Average Loss  0.564876, Time  0.460780
2021-09-07 04:39:35.181068 : Epoch  4, Batch     75, Loss  0.559309, Average Loss  0.564833, Time  0.461596
2021-09-07 04:39:37.054132 : Epoch  4, Batch     76, Loss  0.563936, Average Loss  0.564818, Time  0.461719
2021-09-07 04:39:38.938506 : Epoch  4, Batch     77, Loss  0.569444, Average Loss  0.564769, Time  0.461303
2021-09-07 04:39:40.819818 : Epoch  4, Batch     78, Loss  0.567006, Average Loss  0.564767, Time  0.462061
2021-09-07 04:39:42.715704 : Epoch  4, Batch     79, Loss  0.574907, Average Loss  0.564832, Time  0.460627
2021-09-07 04:39:44.589020 : Epoch  4, Batch     80, Loss  0.564798, Average Loss  0.564867, Time  0.461209
2021-09-07 04:39:46.477820 : Epoch  4, Batch     81, Loss  0.559648, Average Loss  0.564793, Time  0.461993
2021-09-07 04:39:48.380890 : Epoch  4, Batch     82, Loss  0.559921, Average Loss  0.564774, Time  0.462114
2021-09-07 04:39:50.248376 : Epoch  4, Batch     83, Loss  0.558133, Average Loss  0.564714, Time  0.461365
2021-09-07 04:39:52.119287 : Epoch  4, Batch     84, Loss  0.559811, Average Loss  0.564773, Time  0.460952
2021-09-07 04:39:53.992259 : Epoch  4, Batch     85, Loss  0.549506, Average Loss  0.564670, Time  0.461189
2021-09-07 04:39:55.877493 : Epoch  4, Batch     86, Loss  0.551353, Average Loss  0.564604, Time  0.460875
2021-09-07 04:39:57.759481 : Epoch  4, Batch     87, Loss  0.570270, Average Loss  0.564622, Time  0.461850
2021-09-07 04:39:59.641576 : Epoch  4, Batch     88, Loss  0.573935, Average Loss  0.564637, Time  0.461272
2021-09-07 04:40:01.533008 : Epoch  4, Batch     89, Loss  0.577707, Average Loss  0.564639, Time  0.461765
2021-09-07 04:40:03.427093 : Epoch  4, Batch     90, Loss  0.543339, Average Loss  0.564513, Time  0.462273
2021-09-07 04:40:05.311030 : Epoch  4, Batch     91, Loss  0.560217, Average Loss  0.564495, Time  0.461557
2021-09-07 04:40:07.191681 : Epoch  4, Batch     92, Loss  0.554711, Average Loss  0.564430, Time  0.460999
2021-09-07 04:40:09.050995 : Epoch  4, Batch     93, Loss  0.556047, Average Loss  0.564370, Time  0.460351
2021-09-07 04:40:10.919484 : Epoch  4, Batch     94, Loss  0.566488, Average Loss  0.564353, Time  0.461806
2021-09-07 04:40:12.782237 : Epoch  4, Batch     95, Loss  0.573538, Average Loss  0.564442, Time  0.460341
2021-09-07 04:40:14.661692 : Epoch  4, Batch     96, Loss  0.564309, Average Loss  0.564392, Time  0.460800
2021-09-07 04:40:16.526090 : Epoch  4, Batch     97, Loss  0.577217, Average Loss  0.564445, Time  0.460895
2021-09-07 04:40:18.390929 : Epoch  4, Batch     98, Loss  0.560556, Average Loss  0.564416, Time  0.460564
2021-09-07 04:40:20.256620 : Epoch  4, Batch     99, Loss  0.557352, Average Loss  0.564389, Time  0.461679
2021-09-07 04:40:22.146357 : Epoch  4, Batch    100, Loss  0.568504, Average Loss  0.564428, Time  0.460808
2021-09-07 04:40:24.008325 : Epoch  4, Batch    101, Loss  0.562121, Average Loss  0.564428, Time  0.461142
2021-09-07 04:40:25.872527 : Epoch  4, Batch    102, Loss  0.562054, Average Loss  0.564402, Time  0.462163
2021-09-07 04:40:27.761549 : Epoch  4, Batch    103, Loss  0.568705, Average Loss  0.564429, Time  0.461110
2021-09-07 04:40:29.643250 : Epoch  4, Batch    104, Loss  0.554581, Average Loss  0.564401, Time  0.461787
2021-09-07 04:40:31.525898 : Epoch  4, Batch    105, Loss  0.567757, Average Loss  0.564391, Time  0.460501
2021-09-07 04:40:33.407677 : Epoch  4, Batch    106, Loss  0.549201, Average Loss  0.564292, Time  0.460244
2021-09-07 04:40:35.272727 : Epoch  4, Batch    107, Loss  0.567713, Average Loss  0.564387, Time  0.460970
2021-09-07 04:40:37.150081 : Epoch  4, Batch    108, Loss  0.558009, Average Loss  0.564304, Time  0.462180
2021-09-07 04:40:39.028649 : Epoch  4, Batch    109, Loss  0.548147, Average Loss  0.564230, Time  0.461089
2021-09-07 04:40:42.958409 : Epoch  4, Batch    110, Loss  0.564188, Average Loss  0.564263, Time  0.473121
2021-09-07 04:40:44.840636 : Epoch  4, Batch    111, Loss  0.568260, Average Loss  0.564292, Time  0.462582
2021-09-07 04:40:46.723896 : Epoch  4, Batch    112, Loss  0.553466, Average Loss  0.564221, Time  0.462033
2021-09-07 04:40:48.584947 : Epoch  4, Batch    113, Loss  0.554634, Average Loss  0.564184, Time  0.461187
2021-09-07 04:40:50.472094 : Epoch  4, Batch    114, Loss  0.564052, Average Loss  0.564124, Time  0.461853
2021-09-07 04:40:52.356135 : Epoch  4, Batch    115, Loss  0.556467, Average Loss  0.564123, Time  0.462931
2021-09-07 04:40:54.226290 : Epoch  4, Batch    116, Loss  0.561128, Average Loss  0.564040, Time  0.460949
2021-09-07 04:40:56.088112 : Epoch  4, Batch    117, Loss  0.559797, Average Loss  0.564037, Time  0.462018
2021-09-07 04:40:57.974056 : Epoch  4, Batch    118, Loss  0.561496, Average Loss  0.564099, Time  0.462805
2021-09-07 04:40:59.852548 : Epoch  4, Batch    119, Loss  0.551381, Average Loss  0.564043, Time  0.461654
2021-09-07 04:41:01.733100 : Epoch  4, Batch    120, Loss  0.556661, Average Loss  0.564022, Time  0.461437
2021-09-07 04:41:03.600546 : Epoch  4, Batch    121, Loss  0.545673, Average Loss  0.563986, Time  0.461472
2021-09-07 04:41:05.484200 : Epoch  4, Batch    122, Loss  0.558986, Average Loss  0.563843, Time  0.461795
2021-09-07 04:41:07.346627 : Epoch  4, Batch    123, Loss  0.563184, Average Loss  0.563774, Time  0.460729
2021-09-07 04:41:09.219766 : Epoch  4, Batch    124, Loss  0.555578, Average Loss  0.563678, Time  0.461193
2021-09-07 04:41:11.083266 : Epoch  4, Batch    125, Loss  0.548306, Average Loss  0.563556, Time  0.460944
2021-09-07 04:41:12.969709 : Epoch  4, Batch    126, Loss  0.557922, Average Loss  0.563422, Time  0.464562
2021-09-07 04:41:14.840837 : Epoch  4, Batch    127, Loss  0.561599, Average Loss  0.563385, Time  0.461316
2021-09-07 04:41:16.702489 : Epoch  4, Batch    128, Loss  0.553686, Average Loss  0.563341, Time  0.461623
2021-09-07 04:41:18.598758 : Epoch  4, Batch    129, Loss  0.560026, Average Loss  0.563334, Time  0.462512
2021-09-07 04:41:20.472645 : Epoch  4, Batch    130, Loss  0.566077, Average Loss  0.563326, Time  0.461965
2021-09-07 04:41:22.342580 : Epoch  4, Batch    131, Loss  0.548676, Average Loss  0.563200, Time  0.462240
2021-09-07 04:41:24.217311 : Epoch  4, Batch    132, Loss  0.550063, Average Loss  0.563175, Time  0.461018
2021-09-07 04:41:26.080033 : Epoch  4, Batch    133, Loss  0.564221, Average Loss  0.563168, Time  0.460701
2021-09-07 04:41:27.944396 : Epoch  4, Batch    134, Loss  0.560620, Average Loss  0.563187, Time  0.460460
2021-09-07 04:41:29.806978 : Epoch  4, Batch    135, Loss  0.566737, Average Loss  0.563187, Time  0.462368
2021-09-07 04:41:31.674473 : Epoch  4, Batch    136, Loss  0.569584, Average Loss  0.563279, Time  0.460553
2021-09-07 04:41:33.537219 : Epoch  4, Batch    137, Loss  0.577009, Average Loss  0.563361, Time  0.460791
2021-09-07 04:41:35.400155 : Epoch  4, Batch    138, Loss  0.569932, Average Loss  0.563388, Time  0.460653
2021-09-07 04:41:37.262735 : Epoch  4, Batch    139, Loss  0.551731, Average Loss  0.563300, Time  0.461522
2021-09-07 04:42:41.199097 : CheckPoint: Validation Loss  0.00023880, Best Loss  0.00023116
2021-09-07 04:42:43.099413 : Epoch  4, Batch    140, Loss  0.564378, Average Loss  0.563277, Time  0.461986
2021-09-07 04:42:44.969004 : Epoch  4, Batch    141, Loss  0.554733, Average Loss  0.563228, Time  0.460874
2021-09-07 04:42:46.852289 : Epoch  4, Batch    142, Loss  0.545490, Average Loss  0.563211, Time  0.462217
2021-09-07 04:42:48.738477 : Epoch  4, Batch    143, Loss  0.547974, Average Loss  0.563118, Time  0.461761
2021-09-07 04:42:50.639466 : Epoch  4, Batch    144, Loss  0.558480, Average Loss  0.563089, Time  0.460770
2021-09-07 04:42:52.507212 : Epoch  4, Batch    145, Loss  0.561297, Average Loss  0.563027, Time  0.461217
2021-09-07 04:42:54.403343 : Epoch  4, Batch    146, Loss  0.572972, Average Loss  0.563025, Time  0.460459
2021-09-07 04:42:56.308075 : Epoch  4, Batch    147, Loss  0.564863, Average Loss  0.563098, Time  0.462773
2021-09-07 04:42:58.203833 : Epoch  4, Batch    148, Loss  0.567096, Average Loss  0.563134, Time  0.461040
2021-09-07 04:43:00.098437 : Epoch  4, Batch    149, Loss  0.569265, Average Loss  0.563138, Time  0.463625
2021-09-07 04:43:01.969547 : Epoch  4, Batch    150, Loss  0.561788, Average Loss  0.563143, Time  0.460007
2021-09-07 04:43:03.848578 : Epoch  4, Batch    151, Loss  0.541778, Average Loss  0.563032, Time  0.462068
2021-09-07 04:43:05.744138 : Epoch  4, Batch    152, Loss  0.566830, Average Loss  0.563001, Time  0.460857
2021-09-07 04:43:07.614195 : Epoch  4, Batch    153, Loss  0.555687, Average Loss  0.562990, Time  0.462619
2021-09-07 04:43:09.509060 : Epoch  4, Batch    154, Loss  0.557821, Average Loss  0.562986, Time  0.461762
2021-09-07 04:43:11.400386 : Epoch  4, Batch    155, Loss  0.563776, Average Loss  0.562987, Time  0.461612
2021-09-07 04:43:13.269360 : Epoch  4, Batch    156, Loss  0.578974, Average Loss  0.563022, Time  0.461080
2021-09-07 04:43:15.141981 : Epoch  4, Batch    157, Loss  0.554594, Average Loss  0.562980, Time  0.461149
2021-09-07 04:43:17.011287 : Epoch  4, Batch    158, Loss  0.561149, Average Loss  0.562892, Time  0.460975
2021-09-07 04:43:18.881222 : Epoch  4, Batch    159, Loss  0.563381, Average Loss  0.562858, Time  0.461718
2021-09-07 04:43:20.793574 : Epoch  4, Batch    160, Loss  0.553079, Average Loss  0.562745, Time  0.462511
2021-09-07 04:43:22.655388 : Epoch  4, Batch    161, Loss  0.565891, Average Loss  0.562667, Time  0.461215
2021-09-07 04:43:24.519619 : Epoch  4, Batch    162, Loss  0.553363, Average Loss  0.562661, Time  0.460941
2021-09-07 04:43:26.386266 : Epoch  4, Batch    163, Loss  0.566056, Average Loss  0.562663, Time  0.460874
2021-09-07 04:43:28.271051 : Epoch  4, Batch    164, Loss  0.567286, Average Loss  0.562618, Time  0.460803
2021-09-07 04:43:30.142104 : Epoch  4, Batch    165, Loss  0.564180, Average Loss  0.562607, Time  0.461826
2021-09-07 04:43:32.013475 : Epoch  4, Batch    166, Loss  0.556276, Average Loss  0.562610, Time  0.461878
2021-09-07 04:43:33.896204 : Epoch  4, Batch    167, Loss  0.551586, Average Loss  0.562551, Time  0.461028
2021-09-07 04:43:35.784740 : Epoch  4, Batch    168, Loss  0.555829, Average Loss  0.562557, Time  0.462212
2021-09-07 04:43:37.656724 : Epoch  4, Batch    169, Loss  0.567246, Average Loss  0.562557, Time  0.461764
2021-09-07 04:43:39.551161 : Epoch  4, Batch    170, Loss  0.569717, Average Loss  0.562636, Time  0.461755
2021-09-07 04:43:41.440883 : Epoch  4, Batch    171, Loss  0.561802, Average Loss  0.562598, Time  0.461113
2021-09-07 04:43:43.309136 : Epoch  4, Batch    172, Loss  0.567056, Average Loss  0.562635, Time  0.461569
2021-09-07 04:43:45.190365 : Epoch  4, Batch    173, Loss  0.564381, Average Loss  0.562678, Time  0.461477
2021-09-07 04:43:47.073627 : Epoch  4, Batch    174, Loss  0.559769, Average Loss  0.562651, Time  0.461703
2021-09-07 04:43:48.947413 : Epoch  4, Batch    175, Loss  0.552342, Average Loss  0.562634, Time  0.461183
2021-09-07 04:43:50.835689 : Epoch  4, Batch    176, Loss  0.575898, Average Loss  0.562659, Time  0.461281
2021-09-07 04:43:52.709340 : Epoch  4, Batch    177, Loss  0.559784, Average Loss  0.562638, Time  0.460927
2021-09-07 04:43:54.590072 : Epoch  4, Batch    178, Loss  0.556058, Average Loss  0.562584, Time  0.461076
2021-09-07 04:43:56.454252 : Epoch  4, Batch    179, Loss  0.552624, Average Loss  0.562551, Time  0.461713
2021-09-07 04:43:58.344141 : Epoch  4, Batch    180, Loss  0.550148, Average Loss  0.562500, Time  0.461321
2021-09-07 04:44:00.215188 : Epoch  4, Batch    181, Loss  0.562401, Average Loss  0.562454, Time  0.462193
2021-09-07 04:44:02.110632 : Epoch  4, Batch    182, Loss  0.568849, Average Loss  0.562459, Time  0.461969
2021-09-07 04:44:03.992008 : Epoch  4, Batch    183, Loss  0.560781, Average Loss  0.562401, Time  0.460847
2021-09-07 04:44:05.863998 : Epoch  4, Batch    184, Loss  0.546045, Average Loss  0.562282, Time  0.460726
2021-09-07 04:44:07.729172 : Epoch  4, Batch    185, Loss  0.561976, Average Loss  0.562317, Time  0.461689
2021-09-07 04:44:09.618026 : Epoch  4, Batch    186, Loss  0.568552, Average Loss  0.562334, Time  0.461301
2021-09-07 04:44:11.493645 : Epoch  4, Batch    187, Loss  0.563958, Average Loss  0.562369, Time  0.461467
2021-09-07 04:44:13.384407 : Epoch  4, Batch    188, Loss  0.574524, Average Loss  0.562408, Time  0.460626
2021-09-07 04:44:15.265759 : Epoch  4, Batch    189, Loss  0.549898, Average Loss  0.562331, Time  0.461066
2021-09-07 04:44:17.135967 : Epoch  4, Batch    190, Loss  0.564901, Average Loss  0.562408, Time  0.461642
2021-09-07 04:44:19.012698 : Epoch  4, Batch    191, Loss  0.562232, Average Loss  0.562478, Time  0.461243
2021-09-07 04:44:20.895203 : Epoch  4, Batch    192, Loss  0.554805, Average Loss  0.562522, Time  0.462375
2021-09-07 04:44:22.771671 : Epoch  4, Batch    193, Loss  0.561341, Average Loss  0.562539, Time  0.461873
2021-09-07 04:44:24.654136 : Epoch  4, Batch    194, Loss  0.564763, Average Loss  0.562544, Time  0.461041
2021-09-07 04:44:26.525929 : Epoch  4, Batch    195, Loss  0.562145, Average Loss  0.562516, Time  0.460964
2021-09-07 04:44:28.388227 : Epoch  4, Batch    196, Loss  0.562508, Average Loss  0.562523, Time  0.461215
2021-09-07 04:44:30.268864 : Epoch  4, Batch    197, Loss  0.562268, Average Loss  0.562559, Time  0.463167
2021-09-07 04:44:32.154444 : Epoch  4, Batch    198, Loss  0.550806, Average Loss  0.562479, Time  0.463426
2021-09-07 04:44:34.048310 : Epoch  4, Batch    199, Loss  0.546435, Average Loss  0.562429, Time  0.462386
2021-09-07 04:44:35.933124 : Epoch  4, Batch    200, Loss  0.552219, Average Loss  0.562418, Time  0.461900
2021-09-07 04:44:37.818324 : Epoch  4, Batch    201, Loss  0.556480, Average Loss  0.562366, Time  0.461350
2021-09-07 04:44:39.685407 : Epoch  4, Batch    202, Loss  0.546191, Average Loss  0.562288, Time  0.460938
2021-09-07 04:44:41.559659 : Epoch  4, Batch    203, Loss  0.556579, Average Loss  0.562261, Time  0.461147
2021-09-07 04:44:43.433341 : Epoch  4, Batch    204, Loss  0.550048, Average Loss  0.562151, Time  0.462349
2021-09-07 04:44:45.307554 : Epoch  4, Batch    205, Loss  0.551265, Average Loss  0.562089, Time  0.461737
2021-09-07 04:44:47.182142 : Epoch  4, Batch    206, Loss  0.551903, Average Loss  0.562057, Time  0.462568
2021-09-07 04:44:49.052295 : Epoch  4, Batch    207, Loss  0.561075, Average Loss  0.562070, Time  0.461020
2021-09-07 04:44:50.938979 : Epoch  4, Batch    208, Loss  0.542664, Average Loss  0.561938, Time  0.460936
2021-09-07 04:44:52.808269 : Epoch  4, Batch    209, Loss  0.579152, Average Loss  0.561989, Time  0.462226
2021-09-07 04:44:56.768904 : Epoch  4, Batch    210, Loss  0.560270, Average Loss  0.561925, Time  0.474728
2021-09-07 04:44:58.652409 : Epoch  4, Batch    211, Loss  0.570177, Average Loss  0.561970, Time  0.461130
2021-09-07 04:45:00.524524 : Epoch  4, Batch    212, Loss  0.564898, Average Loss  0.561971, Time  0.464925
2021-09-07 04:45:02.413087 : Epoch  4, Batch    213, Loss  0.565486, Average Loss  0.561996, Time  0.461883
2021-09-07 04:45:04.294519 : Epoch  4, Batch    214, Loss  0.553352, Average Loss  0.561905, Time  0.461451
2021-09-07 04:45:06.170243 : Epoch  4, Batch    215, Loss  0.566374, Average Loss  0.561917, Time  0.461329
2021-09-07 04:45:08.044272 : Epoch  4, Batch    216, Loss  0.562717, Average Loss  0.561890, Time  0.461413
2021-09-07 04:45:09.926249 : Epoch  4, Batch    217, Loss  0.569366, Average Loss  0.561876, Time  0.462596
2021-09-07 04:45:11.794836 : Epoch  4, Batch    218, Loss  0.564500, Average Loss  0.561844, Time  0.461036
2021-09-07 04:45:13.659957 : Epoch  4, Batch    219, Loss  0.575317, Average Loss  0.561963, Time  0.460912
2021-09-07 04:45:15.526424 : Epoch  4, Batch    220, Loss  0.558341, Average Loss  0.561850, Time  0.461808
2021-09-07 04:45:17.409259 : Epoch  4, Batch    221, Loss  0.566376, Average Loss  0.561834, Time  0.461724
2021-09-07 04:45:19.280453 : Epoch  4, Batch    222, Loss  0.569663, Average Loss  0.561924, Time  0.461604
2021-09-07 04:45:21.147702 : Epoch  4, Batch    223, Loss  0.552244, Average Loss  0.561878, Time  0.461847
2021-09-07 04:45:23.027566 : Epoch  4, Batch    224, Loss  0.548813, Average Loss  0.561790, Time  0.460949
2021-09-07 04:45:24.888194 : Epoch  4, Batch    225, Loss  0.566187, Average Loss  0.561798, Time  0.461443
2021-09-07 04:45:26.760137 : Epoch  4, Batch    226, Loss  0.562881, Average Loss  0.561814, Time  0.460418
2021-09-07 04:45:28.638253 : Epoch  4, Batch    227, Loss  0.553283, Average Loss  0.561704, Time  0.460980
2021-09-07 04:45:30.504006 : Epoch  4, Batch    228, Loss  0.558146, Average Loss  0.561664, Time  0.461164
2021-09-07 04:45:32.366218 : Epoch  4, Batch    229, Loss  0.557497, Average Loss  0.561611, Time  0.461949
2021-09-07 04:45:34.250911 : Epoch  4, Batch    230, Loss  0.551937, Average Loss  0.561531, Time  0.461544
2021-09-07 04:45:36.142090 : Epoch  4, Batch    231, Loss  0.564236, Average Loss  0.561577, Time  0.461950
2021-09-07 04:45:38.032922 : Epoch  4, Batch    232, Loss  0.550353, Average Loss  0.561513, Time  0.461151
2021-09-07 04:45:39.915122 : Epoch  4, Batch    233, Loss  0.551921, Average Loss  0.561446, Time  0.460625
2021-09-07 04:45:41.798788 : Epoch  4, Batch    234, Loss  0.554133, Average Loss  0.561390, Time  0.461704
2021-09-07 04:45:43.687682 : Epoch  4, Batch    235, Loss  0.561613, Average Loss  0.561319, Time  0.463311
2021-09-07 04:45:45.576797 : Epoch  4, Batch    236, Loss  0.556501, Average Loss  0.561209, Time  0.461643
2021-09-07 04:45:47.463856 : Epoch  4, Batch    237, Loss  0.562359, Average Loss  0.561195, Time  0.462291
2021-09-07 04:45:49.345270 : Epoch  4, Batch    238, Loss  0.548475, Average Loss  0.561131, Time  0.461467
2021-09-07 04:45:51.238502 : Epoch  4, Batch    239, Loss  0.545806, Average Loss  0.561028, Time  0.460905
2021-09-07 04:46:55.233930 : CheckPoint: Validation Loss  0.00023069, Best Loss  0.00023069
2021-09-07 04:46:55.268295 : Best Model Updated
2021-09-07 04:47:00.186007 : Epoch  4, Batch    240, Loss  0.553104, Average Loss  0.560942, Time  0.470731
2021-09-07 04:47:02.064464 : Epoch  4, Batch    241, Loss  0.569244, Average Loss  0.560928, Time  0.460633
2021-09-07 04:47:03.932510 : Epoch  4, Batch    242, Loss  0.561065, Average Loss  0.560839, Time  0.461901
2021-09-07 04:47:05.824252 : Epoch  4, Batch    243, Loss  0.557460, Average Loss  0.560787, Time  0.463137
2021-09-07 04:47:07.711387 : Epoch  4, Batch    244, Loss  0.556548, Average Loss  0.560714, Time  0.461479
2021-09-07 04:47:09.589788 : Epoch  4, Batch    245, Loss  0.548726, Average Loss  0.560578, Time  0.460840
2021-09-07 04:47:11.451175 : Epoch  4, Batch    246, Loss  0.560861, Average Loss  0.560600, Time  0.460413
2021-09-07 04:47:13.313212 : Epoch  4, Batch    247, Loss  0.566862, Average Loss  0.560654, Time  0.460841
2021-09-07 04:47:15.174406 : Epoch  4, Batch    248, Loss  0.555166, Average Loss  0.560567, Time  0.460605
2021-09-07 04:47:17.058193 : Epoch  4, Batch    249, Loss  0.543813, Average Loss  0.560456, Time  0.460836
2021-09-07 04:47:18.919938 : Epoch  4, Batch    250, Loss  0.561913, Average Loss  0.560452, Time  0.460434
2021-09-07 04:47:20.797105 : Epoch  4, Batch    251, Loss  0.550333, Average Loss  0.560370, Time  0.461436
2021-09-07 04:47:22.660848 : Epoch  4, Batch    252, Loss  0.565107, Average Loss  0.560362, Time  0.461141
2021-09-07 04:47:24.549227 : Epoch  4, Batch    253, Loss  0.565216, Average Loss  0.560387, Time  0.462109
2021-09-07 04:47:26.439022 : Epoch  4, Batch    254, Loss  0.561749, Average Loss  0.560376, Time  0.461766
2021-09-07 04:47:28.314552 : Epoch  4, Batch    255, Loss  0.546846, Average Loss  0.560337, Time  0.461252
2021-09-07 04:47:30.179485 : Epoch  4, Batch    256, Loss  0.573484, Average Loss  0.560410, Time  0.460906
2021-09-07 04:47:32.044568 : Epoch  4, Batch    257, Loss  0.551058, Average Loss  0.560354, Time  0.461531
2021-09-07 04:47:33.912922 : Epoch  4, Batch    258, Loss  0.561253, Average Loss  0.560347, Time  0.460932
2021-09-07 04:47:35.780149 : Epoch  4, Batch    259, Loss  0.551119, Average Loss  0.560260, Time  0.462441
2021-09-07 04:47:37.660032 : Epoch  4, Batch    260, Loss  0.557457, Average Loss  0.560222, Time  0.461645
2021-09-07 04:47:39.536718 : Epoch  4, Batch    261, Loss  0.553208, Average Loss  0.560151, Time  0.461169
2021-09-07 04:47:41.401965 : Epoch  4, Batch    262, Loss  0.558788, Average Loss  0.560119, Time  0.460680
2021-09-07 04:47:43.271318 : Epoch  4, Batch    263, Loss  0.542921, Average Loss  0.560117, Time  0.461106
2021-09-07 04:47:45.162000 : Epoch  4, Batch    264, Loss  0.559730, Average Loss  0.560057, Time  0.461635
2021-09-07 04:47:47.039397 : Epoch  4, Batch    265, Loss  0.566921, Average Loss  0.560083, Time  0.460779
2021-09-07 04:47:48.908689 : Epoch  4, Batch    266, Loss  0.553762, Average Loss  0.560027, Time  0.462072
2021-09-07 04:47:50.800517 : Epoch  4, Batch    267, Loss  0.550664, Average Loss  0.559958, Time  0.461315
2021-09-07 04:47:52.671741 : Epoch  4, Batch    268, Loss  0.554896, Average Loss  0.559949, Time  0.461152
2021-09-07 04:47:54.538705 : Epoch  4, Batch    269, Loss  0.571352, Average Loss  0.559966, Time  0.462518
2021-09-07 04:47:56.420240 : Epoch  4, Batch    270, Loss  0.559626, Average Loss  0.559945, Time  0.463162
2021-09-07 04:47:58.300440 : Epoch  4, Batch    271, Loss  0.556193, Average Loss  0.559875, Time  0.462286
2021-09-07 04:48:00.186842 : Epoch  4, Batch    272, Loss  0.552272, Average Loss  0.559844, Time  0.461379
2021-09-07 04:48:02.069684 : Epoch  4, Batch    273, Loss  0.549594, Average Loss  0.559743, Time  0.462406
2021-09-07 04:48:03.951193 : Epoch  4, Batch    274, Loss  0.556349, Average Loss  0.559694, Time  0.461580
2021-09-07 04:48:05.830035 : Epoch  4, Batch    275, Loss  0.544855, Average Loss  0.559621, Time  0.462129
2021-09-07 04:48:07.715166 : Epoch  4, Batch    276, Loss  0.567306, Average Loss  0.559638, Time  0.461819
2021-09-07 04:48:09.595992 : Epoch  4, Batch    277, Loss  0.537977, Average Loss  0.559481, Time  0.461750
2021-09-07 04:48:11.477074 : Epoch  4, Batch    278, Loss  0.558882, Average Loss  0.559440, Time  0.461737
2021-09-07 04:48:13.357895 : Epoch  4, Batch    279, Loss  0.563770, Average Loss  0.559385, Time  0.461011
2021-09-07 04:48:15.228023 : Epoch  4, Batch    280, Loss  0.551886, Average Loss  0.559320, Time  0.461861
2021-09-07 04:48:17.103439 : Epoch  4, Batch    281, Loss  0.559858, Average Loss  0.559321, Time  0.461173
2021-09-07 04:48:18.971169 : Epoch  4, Batch    282, Loss  0.543751, Average Loss  0.559240, Time  0.461837
2021-09-07 04:48:20.836665 : Epoch  4, Batch    283, Loss  0.548326, Average Loss  0.559191, Time  0.462025
2021-09-07 04:48:22.712743 : Epoch  4, Batch    284, Loss  0.543998, Average Loss  0.559112, Time  0.461422
2021-09-07 04:48:24.597419 : Epoch  4, Batch    285, Loss  0.573364, Average Loss  0.559231, Time  0.461579
2021-09-07 04:48:26.471523 : Epoch  4, Batch    286, Loss  0.554974, Average Loss  0.559250, Time  0.462375
2021-09-07 04:48:28.340564 : Epoch  4, Batch    287, Loss  0.551321, Average Loss  0.559155, Time  0.460670
2021-09-07 04:48:30.222473 : Epoch  4, Batch    288, Loss  0.553645, Average Loss  0.559053, Time  0.461415
2021-09-07 04:48:32.087510 : Epoch  4, Batch    289, Loss  0.548812, Average Loss  0.558909, Time  0.460689
2021-09-07 04:48:33.981950 : Epoch  4, Batch    290, Loss  0.555042, Average Loss  0.558967, Time  0.461339
2021-09-07 04:48:35.854568 : Epoch  4, Batch    291, Loss  0.550800, Average Loss  0.558920, Time  0.462452
2021-09-07 04:48:37.737682 : Epoch  4, Batch    292, Loss  0.564505, Average Loss  0.558969, Time  0.463088
2021-09-07 04:48:39.616823 : Epoch  4, Batch    293, Loss  0.557244, Average Loss  0.558975, Time  0.460815
2021-09-07 04:48:41.500215 : Epoch  4, Batch    294, Loss  0.571208, Average Loss  0.558999, Time  0.461801
2021-09-07 04:48:43.386682 : Epoch  4, Batch    295, Loss  0.561615, Average Loss  0.558939, Time  0.461760
2021-09-07 04:48:45.255626 : Epoch  4, Batch    296, Loss  0.551540, Average Loss  0.558875, Time  0.460870
2021-09-07 04:48:47.132415 : Epoch  4, Batch    297, Loss  0.555989, Average Loss  0.558769, Time  0.462841
2021-09-07 04:48:48.994340 : Epoch  4, Batch    298, Loss  0.537883, Average Loss  0.558656, Time  0.461223
2021-09-07 04:48:50.869243 : Epoch  4, Batch    299, Loss  0.563079, Average Loss  0.558685, Time  0.461925
2021-09-07 04:48:52.757313 : Epoch  4, Batch    300, Loss  0.544764, Average Loss  0.558566, Time  0.462068
2021-09-07 04:48:54.639392 : Epoch  4, Batch    301, Loss  0.558896, Average Loss  0.558550, Time  0.461953
2021-09-07 04:48:56.525398 : Epoch  4, Batch    302, Loss  0.557005, Average Loss  0.558524, Time  0.461637
2021-09-07 04:48:58.423826 : Epoch  4, Batch    303, Loss  0.551002, Average Loss  0.558436, Time  0.462128
2021-09-07 04:49:00.311056 : Epoch  4, Batch    304, Loss  0.556711, Average Loss  0.558447, Time  0.461236
2021-09-07 04:49:02.185365 : Epoch  4, Batch    305, Loss  0.557551, Average Loss  0.558396, Time  0.461324
2021-09-07 04:49:04.069632 : Epoch  4, Batch    306, Loss  0.559004, Average Loss  0.558445, Time  0.461463
2021-09-07 04:49:05.951087 : Epoch  4, Batch    307, Loss  0.562143, Average Loss  0.558417, Time  0.460914
2021-09-07 04:49:07.819112 : Epoch  4, Batch    308, Loss  0.559537, Average Loss  0.558424, Time  0.461421
2021-09-07 04:49:09.688802 : Epoch  4, Batch    309, Loss  0.552255, Average Loss  0.558445, Time  0.460975
2021-09-07 04:49:13.606554 : Epoch  4, Batch    310, Loss  0.557036, Average Loss  0.558409, Time  0.475650
2021-09-07 04:49:15.466695 : Epoch  4, Batch    311, Loss  0.550123, Average Loss  0.558318, Time  0.461001
2021-09-07 04:49:17.329550 : Epoch  4, Batch    312, Loss  0.549117, Average Loss  0.558297, Time  0.461414
2021-09-07 04:49:19.187552 : Epoch  4, Batch    313, Loss  0.554790, Average Loss  0.558298, Time  0.461509
2021-09-07 04:49:21.047123 : Epoch  4, Batch    314, Loss  0.549639, Average Loss  0.558225, Time  0.461812
2021-09-07 04:49:22.925746 : Epoch  4, Batch    315, Loss  0.560481, Average Loss  0.558246, Time  0.461632
2021-09-07 04:49:24.799575 : Epoch  4, Batch    316, Loss  0.564523, Average Loss  0.558263, Time  0.461754
2021-09-07 04:49:26.676743 : Epoch  4, Batch    317, Loss  0.554652, Average Loss  0.558237, Time  0.462232
2021-09-07 04:49:28.557016 : Epoch  4, Batch    318, Loss  0.561658, Average Loss  0.558238, Time  0.460993
2021-09-07 04:49:30.433886 : Epoch  4, Batch    319, Loss  0.541649, Average Loss  0.558189, Time  0.461387
2021-09-07 04:49:32.297708 : Epoch  4, Batch    320, Loss  0.546380, Average Loss  0.558138, Time  0.461398
2021-09-07 04:49:34.163029 : Epoch  4, Batch    321, Loss  0.551486, Average Loss  0.558167, Time  0.461754
2021-09-07 04:49:36.030949 : Epoch  4, Batch    322, Loss  0.558871, Average Loss  0.558166, Time  0.460912
2021-09-07 04:49:37.892236 : Epoch  4, Batch    323, Loss  0.552855, Average Loss  0.558114, Time  0.461369
2021-09-07 04:49:39.758205 : Epoch  4, Batch    324, Loss  0.554453, Average Loss  0.558109, Time  0.461418
2021-09-07 04:49:41.643843 : Epoch  4, Batch    325, Loss  0.555246, Average Loss  0.558143, Time  0.461642
2021-09-07 04:49:43.545052 : Epoch  4, Batch    326, Loss  0.552330, Average Loss  0.558115, Time  0.461865
2021-09-07 04:49:45.457442 : Epoch  4, Batch    327, Loss  0.552213, Average Loss  0.558069, Time  0.461331
2021-09-07 04:49:47.325901 : Epoch  4, Batch    328, Loss  0.571609, Average Loss  0.558158, Time  0.461273
2021-09-07 04:49:49.198088 : Epoch  4, Batch    329, Loss  0.569721, Average Loss  0.558207, Time  0.461262
2021-09-07 04:49:51.088387 : Epoch  4, Batch    330, Loss  0.579008, Average Loss  0.558271, Time  0.462166
2021-09-07 04:49:52.976778 : Epoch  4, Batch    331, Loss  0.554312, Average Loss  0.558299, Time  0.461313
2021-09-07 04:49:54.853770 : Epoch  4, Batch    332, Loss  0.555195, Average Loss  0.558325, Time  0.461882
2021-09-07 04:49:56.724532 : Epoch  4, Batch    333, Loss  0.554913, Average Loss  0.558279, Time  0.460880
2021-09-07 04:49:58.593382 : Epoch  4, Batch    334, Loss  0.552007, Average Loss  0.558236, Time  0.460816
2021-09-07 04:50:00.473719 : Epoch  4, Batch    335, Loss  0.547135, Average Loss  0.558138, Time  0.465068
2021-09-07 04:50:02.343468 : Epoch  4, Batch    336, Loss  0.563015, Average Loss  0.558105, Time  0.461091
2021-09-07 04:50:04.223768 : Epoch  4, Batch    337, Loss  0.567428, Average Loss  0.558057, Time  0.461207
2021-09-07 04:50:06.087924 : Epoch  4, Batch    338, Loss  0.555445, Average Loss  0.557984, Time  0.461588
2021-09-07 04:50:07.967060 : Epoch  4, Batch    339, Loss  0.561664, Average Loss  0.558034, Time  0.461169
2021-09-07 04:51:11.752973 : CheckPoint: Validation Loss  0.00022741, Best Loss  0.00022741
2021-09-07 04:51:11.792002 : Best Model Updated
2021-09-07 04:51:16.627981 : Epoch  4, Batch    340, Loss  0.567891, Average Loss  0.558052, Time  0.475891
2021-09-07 04:51:18.508649 : Epoch  4, Batch    341, Loss  0.547990, Average Loss  0.558018, Time  0.461520
2021-09-07 04:51:20.391533 : Epoch  4, Batch    342, Loss  0.565699, Average Loss  0.558119, Time  0.460595
2021-09-07 04:51:22.254339 : Epoch  4, Batch    343, Loss  0.544563, Average Loss  0.558102, Time  0.461071
2021-09-07 04:51:24.143305 : Epoch  4, Batch    344, Loss  0.568712, Average Loss  0.558153, Time  0.460325
2021-09-07 04:51:26.009666 : Epoch  4, Batch    345, Loss  0.564747, Average Loss  0.558170, Time  0.461165
2021-09-07 04:51:27.879426 : Epoch  4, Batch    346, Loss  0.540810, Average Loss  0.558009, Time  0.460820
2021-09-07 04:51:29.749803 : Epoch  4, Batch    347, Loss  0.544108, Average Loss  0.557906, Time  0.461880
2021-09-07 04:51:31.634181 : Epoch  4, Batch    348, Loss  0.543108, Average Loss  0.557786, Time  0.461622
2021-09-07 04:51:33.501804 : Epoch  4, Batch    349, Loss  0.561098, Average Loss  0.557745, Time  0.462140
2021-09-07 04:51:35.388661 : Epoch  4, Batch    350, Loss  0.566367, Average Loss  0.557768, Time  0.461915
2021-09-07 04:51:37.274237 : Epoch  4, Batch    351, Loss  0.536480, Average Loss  0.557741, Time  0.461515
2021-09-07 04:51:39.152574 : Epoch  4, Batch    352, Loss  0.550412, Average Loss  0.557659, Time  0.461219
2021-09-07 04:51:41.024842 : Epoch  4, Batch    353, Loss  0.547843, Average Loss  0.557620, Time  0.460489
2021-09-07 04:51:42.894212 : Epoch  4, Batch    354, Loss  0.554696, Average Loss  0.557604, Time  0.461217
2021-09-07 04:51:44.782108 : Epoch  4, Batch    355, Loss  0.552190, Average Loss  0.557546, Time  0.462026
2021-09-07 04:51:46.677891 : Epoch  4, Batch    356, Loss  0.560949, Average Loss  0.557456, Time  0.461773
2021-09-07 04:51:48.554730 : Epoch  4, Batch    357, Loss  0.552150, Average Loss  0.557444, Time  0.461800
2021-09-07 04:51:50.438826 : Epoch  4, Batch    358, Loss  0.561576, Average Loss  0.557446, Time  0.461893
2021-09-07 04:51:52.339840 : Epoch  4, Batch    359, Loss  0.561537, Average Loss  0.557437, Time  0.462539
2021-09-07 04:51:54.216705 : Epoch  4, Batch    360, Loss  0.552997, Average Loss  0.557437, Time  0.462844
2021-09-07 04:51:56.094510 : Epoch  4, Batch    361, Loss  0.559060, Average Loss  0.557402, Time  0.460743
2021-09-07 04:51:57.985751 : Epoch  4, Batch    362, Loss  0.563640, Average Loss  0.557454, Time  0.460995
2021-09-07 04:51:59.851044 : Epoch  4, Batch    363, Loss  0.546463, Average Loss  0.557356, Time  0.462242
2021-09-07 04:52:01.725453 : Epoch  4, Batch    364, Loss  0.546646, Average Loss  0.557253, Time  0.461022
2021-09-07 04:52:03.599141 : Epoch  4, Batch    365, Loss  0.553035, Average Loss  0.557197, Time  0.460316
2021-09-07 04:52:05.462670 : Epoch  4, Batch    366, Loss  0.563614, Average Loss  0.557234, Time  0.460771
2021-09-07 04:52:07.342006 : Epoch  4, Batch    367, Loss  0.544398, Average Loss  0.557198, Time  0.460910
2021-09-07 04:52:09.204957 : Epoch  4, Batch    368, Loss  0.555777, Average Loss  0.557197, Time  0.460804
2021-09-07 04:52:11.062039 : Epoch  4, Batch    369, Loss  0.561351, Average Loss  0.557168, Time  0.460229
2021-09-07 04:52:12.921971 : Epoch  4, Batch    370, Loss  0.552657, Average Loss  0.557083, Time  0.460568
2021-09-07 04:52:14.789462 : Epoch  4, Batch    371, Loss  0.543025, Average Loss  0.556989, Time  0.460733
2021-09-07 04:52:16.648406 : Epoch  4, Batch    372, Loss  0.560814, Average Loss  0.556958, Time  0.460873
2021-09-07 04:52:18.523883 : Epoch  4, Batch    373, Loss  0.558545, Average Loss  0.556928, Time  0.460274
2021-09-07 04:52:20.392896 : Epoch  4, Batch    374, Loss  0.550120, Average Loss  0.556880, Time  0.462345
2021-09-07 04:52:22.254793 : Epoch  4, Batch    375, Loss  0.566164, Average Loss  0.556949, Time  0.460249
2021-09-07 04:52:24.125731 : Epoch  4, Batch    376, Loss  0.551254, Average Loss  0.556826, Time  0.462113
2021-09-07 04:52:26.015741 : Epoch  4, Batch    377, Loss  0.566735, Average Loss  0.556861, Time  0.461952
2021-09-07 04:52:27.896485 : Epoch  4, Batch    378, Loss  0.556873, Average Loss  0.556865, Time  0.461754
2021-09-07 04:52:29.760561 : Epoch  4, Batch    379, Loss  0.564474, Average Loss  0.556924, Time  0.460929
2021-09-07 04:52:31.621738 : Epoch  4, Batch    380, Loss  0.549347, Average Loss  0.556920, Time  0.461760
2021-09-07 04:52:33.508059 : Epoch  4, Batch    381, Loss  0.562316, Average Loss  0.556920, Time  0.461034
2021-09-07 04:52:35.394112 : Epoch  4, Batch    382, Loss  0.545663, Average Loss  0.556804, Time  0.461673
2021-09-07 04:52:37.274059 : Epoch  4, Batch    383, Loss  0.551597, Average Loss  0.556758, Time  0.460972
2021-09-07 04:52:39.149231 : Epoch  4, Batch    384, Loss  0.554802, Average Loss  0.556802, Time  0.461707
2021-09-07 04:52:41.024216 : Epoch  4, Batch    385, Loss  0.558351, Average Loss  0.556783, Time  0.461997
2021-09-07 04:52:42.895559 : Epoch  4, Batch    386, Loss  0.543773, Average Loss  0.556660, Time  0.461647
2021-09-07 04:52:44.775958 : Epoch  4, Batch    387, Loss  0.549392, Average Loss  0.556587, Time  0.461384
2021-09-07 04:52:46.668334 : Epoch  4, Batch    388, Loss  0.563945, Average Loss  0.556534, Time  0.461245
2021-09-07 04:52:48.537081 : Epoch  4, Batch    389, Loss  0.551018, Average Loss  0.556539, Time  0.460588
2021-09-07 04:52:50.414426 : Epoch  4, Batch    390, Loss  0.557174, Average Loss  0.556501, Time  0.462161
2021-09-07 04:52:52.297622 : Epoch  4, Batch    391, Loss  0.548083, Average Loss  0.556430, Time  0.461667
2021-09-07 04:52:54.173509 : Epoch  4, Batch    392, Loss  0.566673, Average Loss  0.556489, Time  0.461496
2021-09-07 04:52:56.058243 : Epoch  4, Batch    393, Loss  0.548350, Average Loss  0.556424, Time  0.460739
2021-09-07 04:52:57.933728 : Epoch  4, Batch    394, Loss  0.551283, Average Loss  0.556357, Time  0.462220
2021-09-07 04:52:59.825384 : Epoch  4, Batch    395, Loss  0.542909, Average Loss  0.556261, Time  0.462189
2021-09-07 04:53:01.745560 : Epoch  4, Batch    396, Loss  0.559021, Average Loss  0.556243, Time  0.461101
2021-09-07 04:53:03.604906 : Epoch  4, Batch    397, Loss  0.562641, Average Loss  0.556245, Time  0.460956
2021-09-07 04:53:05.482749 : Epoch  4, Batch    398, Loss  0.556754, Average Loss  0.556275, Time  0.461052
2021-09-07 04:53:07.352035 : Epoch  4, Batch    399, Loss  0.552215, Average Loss  0.556304, Time  0.461593
2021-09-07 04:53:09.214603 : Epoch  4, Batch    400, Loss  0.550034, Average Loss  0.556293, Time  0.461929
2021-09-07 04:53:11.083702 : Epoch  4, Batch    401, Loss  0.576484, Average Loss  0.556393, Time  0.460923
2021-09-07 04:53:12.945501 : Epoch  4, Batch    402, Loss  0.549975, Average Loss  0.556412, Time  0.461170
2021-09-07 04:53:14.819935 : Epoch  4, Batch    403, Loss  0.559519, Average Loss  0.556427, Time  0.462254
2021-09-07 04:53:16.679247 : Epoch  4, Batch    404, Loss  0.546369, Average Loss  0.556408, Time  0.460420
2021-09-07 04:53:18.546686 : Epoch  4, Batch    405, Loss  0.555979, Average Loss  0.556432, Time  0.462821
2021-09-07 04:53:20.411149 : Epoch  4, Batch    406, Loss  0.552348, Average Loss  0.556434, Time  0.460263
2021-09-07 04:53:22.292986 : Epoch  4, Batch    407, Loss  0.550993, Average Loss  0.556384, Time  0.463643
2021-09-07 04:53:24.176410 : Epoch  4, Batch    408, Loss  0.567339, Average Loss  0.556507, Time  0.461185
2021-09-07 04:53:26.041838 : Epoch  4, Batch    409, Loss  0.549589, Average Loss  0.556359, Time  0.460818
2021-09-07 04:53:29.992089 : Epoch  4, Batch    410, Loss  0.556901, Average Loss  0.556342, Time  0.474782
2021-09-07 04:53:31.868813 : Epoch  4, Batch    411, Loss  0.552571, Average Loss  0.556254, Time  0.462079
2021-09-07 04:53:33.727142 : Epoch  4, Batch    412, Loss  0.555809, Average Loss  0.556209, Time  0.461056
2021-09-07 04:53:35.601132 : Epoch  4, Batch    413, Loss  0.544079, Average Loss  0.556102, Time  0.464113
2021-09-07 04:53:37.479998 : Epoch  4, Batch    414, Loss  0.550036, Average Loss  0.556085, Time  0.460771
2021-09-07 04:53:39.335394 : Epoch  4, Batch    415, Loss  0.558666, Average Loss  0.556047, Time  0.461034
2021-09-07 04:53:41.208783 : Epoch  4, Batch    416, Loss  0.556586, Average Loss  0.556016, Time  0.462562
2021-09-07 04:53:43.091311 : Epoch  4, Batch    417, Loss  0.559836, Average Loss  0.555968, Time  0.462132
2021-09-07 04:53:44.963578 : Epoch  4, Batch    418, Loss  0.558852, Average Loss  0.555940, Time  0.461346
2021-09-07 04:53:46.829447 : Epoch  4, Batch    419, Loss  0.531933, Average Loss  0.555723, Time  0.461833
2021-09-07 04:53:48.706192 : Epoch  4, Batch    420, Loss  0.541107, Average Loss  0.555637, Time  0.461644
2021-09-07 04:53:50.586636 : Epoch  4, Batch    421, Loss  0.550295, Average Loss  0.555557, Time  0.461686
2021-09-07 04:53:52.450535 : Epoch  4, Batch    422, Loss  0.536294, Average Loss  0.555390, Time  0.460799
2021-09-07 04:53:54.324428 : Epoch  4, Batch    423, Loss  0.561844, Average Loss  0.555438, Time  0.460750
2021-09-07 04:53:56.195085 : Epoch  4, Batch    424, Loss  0.552153, Average Loss  0.555455, Time  0.461633
2021-09-07 04:53:58.068359 : Epoch  4, Batch    425, Loss  0.568597, Average Loss  0.555467, Time  0.460745
2021-09-07 04:53:59.944727 : Epoch  4, Batch    426, Loss  0.558665, Average Loss  0.555445, Time  0.461449
2021-09-07 04:54:01.805620 : Epoch  4, Batch    427, Loss  0.553646, Average Loss  0.555447, Time  0.460969
2021-09-07 04:54:03.675171 : Epoch  4, Batch    428, Loss  0.559028, Average Loss  0.555452, Time  0.461940
2021-09-07 04:54:05.554841 : Epoch  4, Batch    429, Loss  0.543826, Average Loss  0.555383, Time  0.461880
2021-09-07 04:54:07.432512 : Epoch  4, Batch    430, Loss  0.546241, Average Loss  0.555355, Time  0.461147
2021-09-07 04:54:09.306190 : Epoch  4, Batch    431, Loss  0.542432, Average Loss  0.555246, Time  0.462152
2021-09-07 04:54:11.184228 : Epoch  4, Batch    432, Loss  0.562677, Average Loss  0.555307, Time  0.461543
2021-09-07 04:54:13.064359 : Epoch  4, Batch    433, Loss  0.542100, Average Loss  0.555258, Time  0.460688
2021-09-07 04:54:14.925985 : Epoch  4, Batch    434, Loss  0.542384, Average Loss  0.555200, Time  0.462582
2021-09-07 04:54:16.801171 : Epoch  4, Batch    435, Loss  0.542410, Average Loss  0.555104, Time  0.462005
2021-09-07 04:54:18.681220 : Epoch  4, Batch    436, Loss  0.554563, Average Loss  0.555094, Time  0.462409
2021-09-07 04:54:20.565456 : Epoch  4, Batch    437, Loss  0.551573, Average Loss  0.555040, Time  0.462347
2021-09-07 04:54:22.456303 : Epoch  4, Batch    438, Loss  0.562054, Average Loss  0.555108, Time  0.463460
2021-09-07 04:54:24.337875 : Epoch  4, Batch    439, Loss  0.542424, Average Loss  0.555091, Time  0.461050
2021-09-07 04:55:28.235428 : CheckPoint: Validation Loss  0.00023269, Best Loss  0.00022741
2021-09-07 04:55:30.118122 : Epoch  4, Batch    440, Loss  0.557600, Average Loss  0.555113, Time  0.461028
2021-09-07 04:55:31.989644 : Epoch  4, Batch    441, Loss  0.551862, Average Loss  0.555027, Time  0.461184
2021-09-07 04:55:33.862068 : Epoch  4, Batch    442, Loss  0.551401, Average Loss  0.554978, Time  0.460985
2021-09-07 04:55:35.735784 : Epoch  4, Batch    443, Loss  0.545737, Average Loss  0.554920, Time  0.461724
2021-09-07 04:55:37.627157 : Epoch  4, Batch    444, Loss  0.550917, Average Loss  0.554891, Time  0.461365
2021-09-07 04:55:39.511949 : Epoch  4, Batch    445, Loss  0.554437, Average Loss  0.554920, Time  0.461735
2021-09-07 04:55:41.384998 : Epoch  4, Batch    446, Loss  0.564571, Average Loss  0.554939, Time  0.460387
2021-09-07 04:55:43.255147 : Epoch  4, Batch    447, Loss  0.555743, Average Loss  0.554883, Time  0.460926
2021-09-07 04:55:45.133931 : Epoch  4, Batch    448, Loss  0.548801, Average Loss  0.554851, Time  0.460655
2021-09-07 04:55:47.014409 : Epoch  4, Batch    449, Loss  0.557778, Average Loss  0.554921, Time  0.461922
2021-09-07 04:55:48.899498 : Epoch  4, Batch    450, Loss  0.550889, Average Loss  0.554866, Time  0.460902
2021-09-07 04:55:50.783683 : Epoch  4, Batch    451, Loss  0.550226, Average Loss  0.554865, Time  0.461795
2021-09-07 04:55:52.654151 : Epoch  4, Batch    452, Loss  0.549461, Average Loss  0.554787, Time  0.460475
2021-09-07 04:55:54.527135 : Epoch  4, Batch    453, Loss  0.568178, Average Loss  0.554802, Time  0.460828
2021-09-07 04:55:56.398960 : Epoch  4, Batch    454, Loss  0.551683, Average Loss  0.554752, Time  0.461987
2021-09-07 04:55:58.271312 : Epoch  4, Batch    455, Loss  0.544821, Average Loss  0.554741, Time  0.461011
2021-09-07 04:56:00.137736 : Epoch  4, Batch    456, Loss  0.539887, Average Loss  0.554573, Time  0.460625
2021-09-07 04:56:02.021920 : Epoch  4, Batch    457, Loss  0.571581, Average Loss  0.554676, Time  0.462066
2021-09-07 04:56:03.908678 : Epoch  4, Batch    458, Loss  0.556420, Average Loss  0.554652, Time  0.460552
2021-09-07 04:56:05.788946 : Epoch  4, Batch    459, Loss  0.539766, Average Loss  0.554595, Time  0.461339
2021-09-07 04:56:07.672151 : Epoch  4, Batch    460, Loss  0.561900, Average Loss  0.554617, Time  0.461891
2021-09-07 04:56:09.563306 : Epoch  4, Batch    461, Loss  0.563740, Average Loss  0.554670, Time  0.462711
2021-09-07 04:56:11.437661 : Epoch  4, Batch    462, Loss  0.547396, Average Loss  0.554613, Time  0.461608
2021-09-07 04:56:13.319209 : Epoch  4, Batch    463, Loss  0.548485, Average Loss  0.554641, Time  0.460948
2021-09-07 04:56:15.190148 : Epoch  4, Batch    464, Loss  0.548232, Average Loss  0.554583, Time  0.462087
2021-09-07 04:56:17.082314 : Epoch  4, Batch    465, Loss  0.568084, Average Loss  0.554589, Time  0.461325
2021-09-07 04:56:18.951012 : Epoch  4, Batch    466, Loss  0.555025, Average Loss  0.554595, Time  0.460921
2021-09-07 04:56:20.818728 : Epoch  4, Batch    467, Loss  0.554759, Average Loss  0.554616, Time  0.461827
2021-09-07 04:56:22.694851 : Epoch  4, Batch    468, Loss  0.548608, Average Loss  0.554585, Time  0.460398
2021-09-07 04:56:24.562046 : Epoch  4, Batch    469, Loss  0.555567, Average Loss  0.554506, Time  0.461375
2021-09-07 04:56:26.445065 : Epoch  4, Batch    470, Loss  0.552727, Average Loss  0.554471, Time  0.461485
2021-09-07 04:56:28.322752 : Epoch  4, Batch    471, Loss  0.564509, Average Loss  0.554513, Time  0.461842
2021-09-07 04:56:30.210577 : Epoch  4, Batch    472, Loss  0.555269, Average Loss  0.554528, Time  0.461116
2021-09-07 04:56:32.081779 : Epoch  4, Batch    473, Loss  0.547653, Average Loss  0.554518, Time  0.461463
2021-09-07 04:56:33.960025 : Epoch  4, Batch    474, Loss  0.561417, Average Loss  0.554543, Time  0.461551
2021-09-07 04:56:35.829414 : Epoch  4, Batch    475, Loss  0.556321, Average Loss  0.554601, Time  0.462266
2021-09-07 04:56:37.699219 : Epoch  4, Batch    476, Loss  0.547363, Average Loss  0.554501, Time  0.461472
2021-09-07 04:56:39.569949 : Epoch  4, Batch    477, Loss  0.568664, Average Loss  0.554654, Time  0.460602
2021-09-07 04:56:41.440997 : Epoch  4, Batch    478, Loss  0.553545, Average Loss  0.554628, Time  0.461429
2021-09-07 04:56:43.308899 : Epoch  4, Batch    479, Loss  0.547492, Average Loss  0.554546, Time  0.462472
2021-09-07 04:56:45.195861 : Epoch  4, Batch    480, Loss  0.547143, Average Loss  0.554523, Time  0.461164
2021-09-07 04:56:47.053843 : Epoch  4, Batch    481, Loss  0.547687, Average Loss  0.554462, Time  0.461029
2021-09-07 04:56:48.922114 : Epoch  4, Batch    482, Loss  0.543147, Average Loss  0.554459, Time  0.461133
2021-09-07 04:56:50.810233 : Epoch  4, Batch    483, Loss  0.543686, Average Loss  0.554435, Time  0.460821
2021-09-07 04:56:52.689459 : Epoch  4, Batch    484, Loss  0.541027, Average Loss  0.554421, Time  0.460842
2021-09-07 04:56:54.550439 : Epoch  4, Batch    485, Loss  0.548026, Average Loss  0.554294, Time  0.464405
2021-09-07 04:56:56.419078 : Epoch  4, Batch    486, Loss  0.551506, Average Loss  0.554277, Time  0.462352
2021-09-07 04:56:58.309474 : Epoch  4, Batch    487, Loss  0.550782, Average Loss  0.554274, Time  0.463063
2021-09-07 04:57:00.192623 : Epoch  4, Batch    488, Loss  0.549428, Average Loss  0.554253, Time  0.461363
2021-09-07 04:57:02.082084 : Epoch  4, Batch    489, Loss  0.560691, Average Loss  0.554312, Time  0.462398
2021-09-07 04:57:03.947993 : Epoch  4, Batch    490, Loss  0.566807, Average Loss  0.554371, Time  0.461663
2021-09-07 04:57:05.823491 : Epoch  4, Batch    491, Loss  0.560858, Average Loss  0.554421, Time  0.461588
2021-09-07 04:57:07.694731 : Epoch  4, Batch    492, Loss  0.556513, Average Loss  0.554381, Time  0.460791
2021-09-07 04:57:09.565403 : Epoch  4, Batch    493, Loss  0.559621, Average Loss  0.554393, Time  0.461216
2021-09-07 04:57:11.451093 : Epoch  4, Batch    494, Loss  0.556070, Average Loss  0.554318, Time  0.460591
2021-09-07 04:57:13.323182 : Epoch  4, Batch    495, Loss  0.549490, Average Loss  0.554257, Time  0.461314
2021-09-07 04:57:15.194509 : Epoch  4, Batch    496, Loss  0.566257, Average Loss  0.554331, Time  0.461026
2021-09-07 04:57:17.067524 : Epoch  4, Batch    497, Loss  0.555152, Average Loss  0.554326, Time  0.467991
2021-09-07 04:57:18.961741 : Epoch  4, Batch    498, Loss  0.544748, Average Loss  0.554361, Time  0.462737
2021-09-07 04:57:20.855916 : Epoch  4, Batch    499, Loss  0.556245, Average Loss  0.554326, Time  0.461144
2021-09-07 04:57:22.735124 : Epoch  4, Batch    500, Loss  0.558408, Average Loss  0.554395, Time  0.462578
2021-09-07 04:57:24.613245 : Epoch  4, Batch    501, Loss  0.546817, Average Loss  0.554334, Time  0.461662
2021-09-07 04:57:26.487072 : Epoch  4, Batch    502, Loss  0.568504, Average Loss  0.554392, Time  0.460714
2021-09-07 04:57:28.360282 : Epoch  4, Batch    503, Loss  0.546358, Average Loss  0.554369, Time  0.462176
2021-09-07 04:57:30.232296 : Epoch  4, Batch    504, Loss  0.543884, Average Loss  0.554304, Time  0.461832
2021-09-07 04:57:32.118155 : Epoch  4, Batch    505, Loss  0.555831, Average Loss  0.554296, Time  0.460868
2021-09-07 04:57:34.005899 : Epoch  4, Batch    506, Loss  0.552451, Average Loss  0.554263, Time  0.462028
2021-09-07 04:57:35.898811 : Epoch  4, Batch    507, Loss  0.549752, Average Loss  0.554201, Time  0.461988
2021-09-07 04:57:37.784196 : Epoch  4, Batch    508, Loss  0.560066, Average Loss  0.554204, Time  0.461048
2021-09-07 04:57:39.665973 : Epoch  4, Batch    509, Loss  0.561087, Average Loss  0.554248, Time  0.461345
2021-09-07 04:57:43.637706 : Epoch  4, Batch    510, Loss  0.543416, Average Loss  0.554180, Time  0.476939
2021-09-07 04:57:45.515719 : Epoch  4, Batch    511, Loss  0.557664, Average Loss  0.554218, Time  0.460780
2021-09-07 04:57:47.371780 : Epoch  4, Batch    512, Loss  0.544385, Average Loss  0.554194, Time  0.460992
2021-09-07 04:57:49.244666 : Epoch  4, Batch    513, Loss  0.563080, Average Loss  0.554235, Time  0.462400
2021-09-07 04:57:51.132402 : Epoch  4, Batch    514, Loss  0.551723, Average Loss  0.554246, Time  0.461025
2021-09-07 04:57:52.995536 : Epoch  4, Batch    515, Loss  0.545391, Average Loss  0.554170, Time  0.461204
2021-09-07 04:57:54.860001 : Epoch  4, Batch    516, Loss  0.540073, Average Loss  0.554048, Time  0.460916
2021-09-07 04:57:56.730128 : Epoch  4, Batch    517, Loss  0.542535, Average Loss  0.553987, Time  0.461783
2021-09-07 04:57:58.608752 : Epoch  4, Batch    518, Loss  0.556208, Average Loss  0.553960, Time  0.460678
2021-09-07 04:58:00.476918 : Epoch  4, Batch    519, Loss  0.555210, Average Loss  0.554028, Time  0.462083
2021-09-07 04:58:02.358719 : Epoch  4, Batch    520, Loss  0.552174, Average Loss  0.554057, Time  0.461808
2021-09-07 04:58:04.233908 : Epoch  4, Batch    521, Loss  0.529643, Average Loss  0.553948, Time  0.462549
2021-09-07 04:58:06.129763 : Epoch  4, Batch    522, Loss  0.564442, Average Loss  0.553976, Time  0.461356
2021-09-07 04:58:08.009395 : Epoch  4, Batch    523, Loss  0.553580, Average Loss  0.553979, Time  0.460882
2021-09-07 04:58:09.877355 : Epoch  4, Batch    524, Loss  0.567607, Average Loss  0.554045, Time  0.460561
2021-09-07 04:58:11.742763 : Epoch  4, Batch    525, Loss  0.565706, Average Loss  0.554097, Time  0.461164
2021-09-07 04:58:13.614028 : Epoch  4, Batch    526, Loss  0.538276, Average Loss  0.554027, Time  0.460923
2021-09-07 04:58:15.479932 : Epoch  4, Batch    527, Loss  0.548508, Average Loss  0.554009, Time  0.461274
2021-09-07 04:58:17.353482 : Epoch  4, Batch    528, Loss  0.544348, Average Loss  0.553872, Time  0.461052
2021-09-07 04:58:19.251769 : Epoch  4, Batch    529, Loss  0.555517, Average Loss  0.553801, Time  0.462126
2021-09-07 04:58:21.134723 : Epoch  4, Batch    530, Loss  0.562631, Average Loss  0.553719, Time  0.460821
2021-09-07 04:58:23.011228 : Epoch  4, Batch    531, Loss  0.553573, Average Loss  0.553716, Time  0.461408
2021-09-07 04:58:24.886861 : Epoch  4, Batch    532, Loss  0.554695, Average Loss  0.553713, Time  0.462154
2021-09-07 04:58:26.769973 : Epoch  4, Batch    533, Loss  0.552123, Average Loss  0.553699, Time  0.461513
2021-09-07 04:58:28.661729 : Epoch  4, Batch    534, Loss  0.555184, Average Loss  0.553715, Time  0.461989
2021-09-07 04:58:30.554640 : Epoch  4, Batch    535, Loss  0.547817, Average Loss  0.553719, Time  0.461409
2021-09-07 04:58:32.423033 : Epoch  4, Batch    536, Loss  0.555491, Average Loss  0.553681, Time  0.461527
2021-09-07 04:58:34.297842 : Epoch  4, Batch    537, Loss  0.559362, Average Loss  0.553641, Time  0.461173
2021-09-07 04:58:36.180799 : Epoch  4, Batch    538, Loss  0.549910, Average Loss  0.553613, Time  0.461303
2021-09-07 04:58:38.050580 : Epoch  4, Batch    539, Loss  0.555422, Average Loss  0.553582, Time  0.462559
2021-09-07 04:59:42.005788 : CheckPoint: Validation Loss  0.00022399, Best Loss  0.00022399
2021-09-07 04:59:42.035378 : Best Model Updated
2021-09-07 04:59:47.009310 : Epoch  4, Batch    540, Loss  0.553700, Average Loss  0.553511, Time  0.474577
2021-09-07 04:59:48.885448 : Epoch  4, Batch    541, Loss  0.549577, Average Loss  0.553519, Time  0.461734
2021-09-07 04:59:50.778143 : Epoch  4, Batch    542, Loss  0.560127, Average Loss  0.553491, Time  0.461712
2021-09-07 04:59:52.650092 : Epoch  4, Batch    543, Loss  0.556521, Average Loss  0.553551, Time  0.461146
2021-09-07 04:59:54.543023 : Epoch  4, Batch    544, Loss  0.558010, Average Loss  0.553497, Time  0.460970
2021-09-07 04:59:56.424612 : Epoch  4, Batch    545, Loss  0.571911, Average Loss  0.553533, Time  0.461184
2021-09-07 04:59:58.302739 : Epoch  4, Batch    546, Loss  0.546001, Average Loss  0.553559, Time  0.460966
2021-09-07 05:00:00.180661 : Epoch  4, Batch    547, Loss  0.546872, Average Loss  0.553573, Time  0.460986
2021-09-07 05:00:02.054290 : Epoch  4, Batch    548, Loss  0.565923, Average Loss  0.553687, Time  0.461464
2021-09-07 05:00:03.917784 : Epoch  4, Batch    549, Loss  0.562658, Average Loss  0.553695, Time  0.462677
2021-09-07 05:00:05.805402 : Epoch  4, Batch    550, Loss  0.556501, Average Loss  0.553645, Time  0.460536
2021-09-07 05:00:07.680398 : Epoch  4, Batch    551, Loss  0.548948, Average Loss  0.553708, Time  0.461414
2021-09-07 05:00:09.571610 : Epoch  4, Batch    552, Loss  0.560009, Average Loss  0.553756, Time  0.460590
2021-09-07 05:00:11.442637 : Epoch  4, Batch    553, Loss  0.561888, Average Loss  0.553826, Time  0.460704
2021-09-07 05:00:13.314711 : Epoch  4, Batch    554, Loss  0.555232, Average Loss  0.553828, Time  0.461303
2021-09-07 05:00:15.219899 : Epoch  4, Batch    555, Loss  0.555519, Average Loss  0.553845, Time  0.461661
2021-09-07 05:00:17.112308 : Epoch  4, Batch    556, Loss  0.566115, Average Loss  0.553871, Time  0.462411
2021-09-07 05:00:18.991624 : Epoch  4, Batch    557, Loss  0.557896, Average Loss  0.553900, Time  0.461063
2021-09-07 05:00:20.874107 : Epoch  4, Batch    558, Loss  0.561008, Average Loss  0.553897, Time  0.460606
2021-09-07 05:00:22.751968 : Epoch  4, Batch    559, Loss  0.547082, Average Loss  0.553825, Time  0.461750
2021-09-07 05:00:24.637770 : Epoch  4, Batch    560, Loss  0.565159, Average Loss  0.553885, Time  0.462124
2021-09-07 05:00:26.505934 : Epoch  4, Batch    561, Loss  0.550148, Average Loss  0.553841, Time  0.461157
2021-09-07 05:00:28.365312 : Epoch  4, Batch    562, Loss  0.558813, Average Loss  0.553817, Time  0.460701
2021-09-07 05:00:30.229820 : Epoch  4, Batch    563, Loss  0.555323, Average Loss  0.553861, Time  0.461591
2021-09-07 05:00:32.114311 : Epoch  4, Batch    564, Loss  0.551219, Average Loss  0.553884, Time  0.461450
2021-09-07 05:00:33.993817 : Epoch  4, Batch    565, Loss  0.567317, Average Loss  0.553955, Time  0.460470
2021-09-07 05:00:35.858113 : Epoch  4, Batch    566, Loss  0.552268, Average Loss  0.553898, Time  0.461526
2021-09-07 05:00:37.721868 : Epoch  4, Batch    567, Loss  0.550052, Average Loss  0.553927, Time  0.460661
2021-09-07 05:00:39.582790 : Epoch  4, Batch    568, Loss  0.556042, Average Loss  0.553928, Time  0.460850
2021-09-07 05:00:41.446763 : Epoch  4, Batch    569, Loss  0.548487, Average Loss  0.553864, Time  0.460280
2021-09-07 05:00:43.314653 : Epoch  4, Batch    570, Loss  0.558124, Average Loss  0.553891, Time  0.461532
2021-09-07 05:00:45.181609 : Epoch  4, Batch    571, Loss  0.553971, Average Loss  0.553946, Time  0.460164
2021-09-07 05:00:47.047543 : Epoch  4, Batch    572, Loss  0.553976, Average Loss  0.553912, Time  0.462985
2021-09-07 05:00:48.907145 : Epoch  4, Batch    573, Loss  0.548588, Average Loss  0.553862, Time  0.460594
2021-09-07 05:00:50.783819 : Epoch  4, Batch    574, Loss  0.539401, Average Loss  0.553808, Time  0.461025
2021-09-07 05:00:52.648743 : Epoch  4, Batch    575, Loss  0.560042, Average Loss  0.553778, Time  0.461383
2021-09-07 05:00:54.539703 : Epoch  4, Batch    576, Loss  0.557572, Average Loss  0.553809, Time  0.461408
2021-09-07 05:00:56.421517 : Epoch  4, Batch    577, Loss  0.566373, Average Loss  0.553807, Time  0.461767
2021-09-07 05:00:58.287647 : Epoch  4, Batch    578, Loss  0.542718, Average Loss  0.553737, Time  0.461793
2021-09-07 05:01:00.181680 : Epoch  4, Batch    579, Loss  0.539135, Average Loss  0.553610, Time  0.462367
2021-09-07 05:01:02.075383 : Epoch  4, Batch    580, Loss  0.533071, Average Loss  0.553529, Time  0.461906
2021-09-07 05:01:03.954972 : Epoch  4, Batch    581, Loss  0.546937, Average Loss  0.553452, Time  0.460518
2021-09-07 05:01:05.838561 : Epoch  4, Batch    582, Loss  0.550514, Average Loss  0.553476, Time  0.461782
2021-09-07 05:01:07.723211 : Epoch  4, Batch    583, Loss  0.549487, Average Loss  0.553465, Time  0.461166
2021-09-07 05:01:09.603085 : Epoch  4, Batch    584, Loss  0.535297, Average Loss  0.553368, Time  0.461473
2021-09-07 05:01:11.467097 : Epoch  4, Batch    585, Loss  0.556721, Average Loss  0.553360, Time  0.461922
2021-09-07 05:01:13.348059 : Epoch  4, Batch    586, Loss  0.548072, Average Loss  0.553381, Time  0.461405
2021-09-07 05:01:15.225025 : Epoch  4, Batch    587, Loss  0.548919, Average Loss  0.553379, Time  0.461903
2021-09-07 05:01:17.102070 : Epoch  4, Batch    588, Loss  0.562677, Average Loss  0.553373, Time  0.464491
2021-09-07 05:01:19.001393 : Epoch  4, Batch    589, Loss  0.554358, Average Loss  0.553389, Time  0.460952
2021-09-07 05:01:20.874031 : Epoch  4, Batch    590, Loss  0.553178, Average Loss  0.553369, Time  0.460216
2021-09-07 05:01:22.760363 : Epoch  4, Batch    591, Loss  0.554851, Average Loss  0.553403, Time  0.461910
2021-09-07 05:01:24.640767 : Epoch  4, Batch    592, Loss  0.562367, Average Loss  0.553382, Time  0.461549
2021-09-07 05:01:26.501078 : Epoch  4, Batch    593, Loss  0.552226, Average Loss  0.553401, Time  0.460454
2021-09-07 05:01:28.391402 : Epoch  4, Batch    594, Loss  0.553947, Average Loss  0.553414, Time  0.460581
2021-09-07 05:01:30.269159 : Epoch  4, Batch    595, Loss  0.535712, Average Loss  0.553378, Time  0.461465
2021-09-07 05:01:32.130970 : Epoch  4, Batch    596, Loss  0.534572, Average Loss  0.553256, Time  0.462083
2021-09-07 05:01:34.007115 : Epoch  4, Batch    597, Loss  0.573610, Average Loss  0.553311, Time  0.462780
2021-09-07 05:01:35.873476 : Epoch  4, Batch    598, Loss  0.546532, Average Loss  0.553260, Time  0.461347
2021-09-07 05:01:37.749544 : Epoch  4, Batch    599, Loss  0.547247, Average Loss  0.553235, Time  0.460966
2021-09-07 05:01:39.621237 : Epoch  4, Batch    600, Loss  0.538994, Average Loss  0.553180, Time  0.460723
2021-09-07 05:01:41.492346 : Epoch  4, Batch    601, Loss  0.541559, Average Loss  0.553005, Time  0.463385
2021-09-07 05:01:43.365311 : Epoch  4, Batch    602, Loss  0.560302, Average Loss  0.553057, Time  0.461026
2021-09-07 05:01:45.253258 : Epoch  4, Batch    603, Loss  0.552636, Average Loss  0.553022, Time  0.463234
2021-09-07 05:01:47.129632 : Epoch  4, Batch    604, Loss  0.541042, Average Loss  0.552996, Time  0.462207
2021-09-07 05:01:48.989881 : Epoch  4, Batch    605, Loss  0.545329, Average Loss  0.552942, Time  0.460732
2021-09-07 05:01:50.864196 : Epoch  4, Batch    606, Loss  0.551768, Average Loss  0.552940, Time  0.461246
2021-09-07 05:01:52.737913 : Epoch  4, Batch    607, Loss  0.542633, Average Loss  0.552898, Time  0.460841
2021-09-07 05:01:54.617834 : Epoch  4, Batch    608, Loss  0.547808, Average Loss  0.552800, Time  0.462490
2021-09-07 05:01:56.510747 : Epoch  4, Batch    609, Loss  0.553433, Average Loss  0.552819, Time  0.461564
2021-09-07 05:02:00.451708 : Epoch  4, Batch    610, Loss  0.564353, Average Loss  0.552857, Time  0.470811
2021-09-07 05:02:02.323052 : Epoch  4, Batch    611, Loss  0.543464, Average Loss  0.552811, Time  0.461173
2021-09-07 05:02:02.516050 : Epoch  4, Batch    612, Loss  0.443295, Average Loss  0.552248, Time  0.157349
2021-09-07 05:02:04.382199 : Epoch  4, Batch    613, Loss  0.557146, Average Loss  0.552314, Time  0.462312
2021-09-07 05:02:06.256916 : Epoch  4, Batch    614, Loss  0.581917, Average Loss  0.552473, Time  0.460907
2021-09-07 05:02:08.116758 : Epoch  4, Batch    615, Loss  0.574087, Average Loss  0.552550, Time  0.460475
2021-09-07 05:02:09.984761 : Epoch  4, Batch    616, Loss  0.580207, Average Loss  0.552668, Time  0.460742
2021-09-07 05:02:11.862721 : Epoch  4, Batch    617, Loss  0.566471, Average Loss  0.552702, Time  0.461904
2021-09-07 05:02:13.751353 : Epoch  4, Batch    618, Loss  0.574082, Average Loss  0.552778, Time  0.460693
2021-09-07 05:02:15.617087 : Epoch  4, Batch    619, Loss  0.569544, Average Loss  0.552966, Time  0.460840
2021-09-07 05:02:17.480320 : Epoch  4, Batch    620, Loss  0.551992, Average Loss  0.553020, Time  0.460627
2021-09-07 05:02:19.366417 : Epoch  4, Batch    621, Loss  0.575270, Average Loss  0.553145, Time  0.461254
2021-09-07 05:02:21.233178 : Epoch  4, Batch    622, Loss  0.565804, Average Loss  0.553293, Time  0.460442
2021-09-07 05:02:23.098126 : Epoch  4, Batch    623, Loss  0.570359, Average Loss  0.553335, Time  0.461133
2021-09-07 05:02:24.977146 : Epoch  4, Batch    624, Loss  0.553403, Average Loss  0.553341, Time  0.460939
2021-09-07 05:02:26.852189 : Epoch  4, Batch    625, Loss  0.555279, Average Loss  0.553275, Time  0.461746
2021-09-07 05:02:28.736533 : Epoch  4, Batch    626, Loss  0.573120, Average Loss  0.553347, Time  0.460813
2021-09-07 05:02:30.614281 : Epoch  4, Batch    627, Loss  0.565693, Average Loss  0.553407, Time  0.460490
2021-09-07 05:02:32.492095 : Epoch  4, Batch    628, Loss  0.543348, Average Loss  0.553329, Time  0.461662
2021-09-07 05:02:34.356495 : Epoch  4, Batch    629, Loss  0.557877, Average Loss  0.553399, Time  0.461178
2021-09-07 05:02:36.240281 : Epoch  4, Batch    630, Loss  0.545773, Average Loss  0.553397, Time  0.461415
2021-09-07 05:02:38.103842 : Epoch  4, Batch    631, Loss  0.563247, Average Loss  0.553501, Time  0.461704
2021-09-07 05:02:39.964785 : Epoch  4, Batch    632, Loss  0.563377, Average Loss  0.553504, Time  0.461399
2021-09-07 05:02:41.837839 : Epoch  4, Batch    633, Loss  0.560411, Average Loss  0.553596, Time  0.461668
2021-09-07 05:02:43.726795 : Epoch  4, Batch    634, Loss  0.547067, Average Loss  0.553619, Time  0.461946
2021-09-07 05:02:45.621074 : Epoch  4, Batch    635, Loss  0.564247, Average Loss  0.553729, Time  0.462385
2021-09-07 05:02:47.502417 : Epoch  4, Batch    636, Loss  0.558582, Average Loss  0.553749, Time  0.461086
2021-09-07 05:02:49.373496 : Epoch  4, Batch    637, Loss  0.543570, Average Loss  0.553709, Time  0.461433
2021-09-07 05:02:51.259027 : Epoch  4, Batch    638, Loss  0.553077, Average Loss  0.553664, Time  0.461857
2021-09-07 05:02:55.210915 : Epoch  4, Batch    639, Loss  0.552723, Average Loss  0.553715, Time  0.473343
2021-09-07 05:03:59.236174 : CheckPoint: Validation Loss  0.00022697, Best Loss  0.00022399
2021-09-07 05:04:01.127746 : Epoch  4, Batch    640, Loss  0.552973, Average Loss  0.553692, Time  0.461625
2021-09-07 05:04:03.028919 : Epoch  4, Batch    641, Loss  0.551092, Average Loss  0.553688, Time  0.461674
2021-09-07 05:04:04.902125 : Epoch  4, Batch    642, Loss  0.548216, Average Loss  0.553672, Time  0.460773
2021-09-07 05:04:06.773284 : Epoch  4, Batch    643, Loss  0.559640, Average Loss  0.553742, Time  0.463177
2021-09-07 05:04:08.667889 : Epoch  4, Batch    644, Loss  0.550741, Average Loss  0.553741, Time  0.460854
2021-09-07 05:04:10.532016 : Epoch  4, Batch    645, Loss  0.556213, Average Loss  0.553750, Time  0.461344
2021-09-07 05:04:12.415935 : Epoch  4, Batch    646, Loss  0.544325, Average Loss  0.553649, Time  0.461521
2021-09-07 05:04:14.281261 : Epoch  4, Batch    647, Loss  0.559764, Average Loss  0.553669, Time  0.461756
2021-09-07 05:04:16.150678 : Epoch  4, Batch    648, Loss  0.562299, Average Loss  0.553736, Time  0.461459
2021-09-07 05:04:18.028990 : Epoch  4, Batch    649, Loss  0.553895, Average Loss  0.553717, Time  0.460892
2021-09-07 05:04:19.889810 : Epoch  4, Batch    650, Loss  0.555923, Average Loss  0.553742, Time  0.460917
2021-09-07 05:04:21.755851 : Epoch  4, Batch    651, Loss  0.538543, Average Loss  0.553684, Time  0.462173
2021-09-07 05:04:23.625391 : Epoch  4, Batch    652, Loss  0.545940, Average Loss  0.553666, Time  0.460581
2021-09-07 05:04:25.492526 : Epoch  4, Batch    653, Loss  0.552218, Average Loss  0.553586, Time  0.461447
2021-09-07 05:04:27.371518 : Epoch  4, Batch    654, Loss  0.542328, Average Loss  0.553539, Time  0.460392
2021-09-07 05:04:29.247220 : Epoch  4, Batch    655, Loss  0.557328, Average Loss  0.553602, Time  0.462702
2021-09-07 05:04:31.121915 : Epoch  4, Batch    656, Loss  0.573796, Average Loss  0.553772, Time  0.461818
2021-09-07 05:04:32.993712 : Epoch  4, Batch    657, Loss  0.566254, Average Loss  0.553745, Time  0.461076
2021-09-07 05:04:34.878036 : Epoch  4, Batch    658, Loss  0.548489, Average Loss  0.553705, Time  0.461622
2021-09-07 05:04:36.761359 : Epoch  4, Batch    659, Loss  0.549843, Average Loss  0.553756, Time  0.461455
2021-09-07 05:04:38.637431 : Epoch  4, Batch    660, Loss  0.556264, Average Loss  0.553727, Time  0.460319
2021-09-07 05:04:40.509783 : Epoch  4, Batch    661, Loss  0.544344, Average Loss  0.553630, Time  0.462180
2021-09-07 05:04:42.390156 : Epoch  4, Batch    662, Loss  0.545884, Average Loss  0.553623, Time  0.461418
2021-09-07 05:04:44.272980 : Epoch  4, Batch    663, Loss  0.547728, Average Loss  0.553619, Time  0.462130
2021-09-07 05:04:46.144830 : Epoch  4, Batch    664, Loss  0.552857, Average Loss  0.553642, Time  0.460577
2021-09-07 05:04:48.018355 : Epoch  4, Batch    665, Loss  0.555171, Average Loss  0.553578, Time  0.460906
2021-09-07 05:04:49.884570 : Epoch  4, Batch    666, Loss  0.549189, Average Loss  0.553548, Time  0.461892
2021-09-07 05:04:51.755264 : Epoch  4, Batch    667, Loss  0.560517, Average Loss  0.553577, Time  0.461130
2021-09-07 05:04:53.640798 : Epoch  4, Batch    668, Loss  0.568689, Average Loss  0.553678, Time  0.461290
2021-09-07 05:04:55.528395 : Epoch  4, Batch    669, Loss  0.549988, Average Loss  0.553650, Time  0.461703
2021-09-07 05:04:57.414387 : Epoch  4, Batch    670, Loss  0.568455, Average Loss  0.553728, Time  0.461508
2021-09-07 05:04:59.301547 : Epoch  4, Batch    671, Loss  0.546439, Average Loss  0.553638, Time  0.461728
2021-09-07 05:05:01.195009 : Epoch  4, Batch    672, Loss  0.551412, Average Loss  0.553619, Time  0.467415
2021-09-07 05:05:03.069020 : Epoch  4, Batch    673, Loss  0.543093, Average Loss  0.553596, Time  0.461027
2021-09-07 05:05:04.934007 : Epoch  4, Batch    674, Loss  0.559724, Average Loss  0.553588, Time  0.460596
2021-09-07 05:05:06.801198 : Epoch  4, Batch    675, Loss  0.550940, Average Loss  0.553561, Time  0.461144
2021-09-07 05:05:08.671342 : Epoch  4, Batch    676, Loss  0.553366, Average Loss  0.553591, Time  0.461040
2021-09-07 05:05:10.544689 : Epoch  4, Batch    677, Loss  0.544641, Average Loss  0.553471, Time  0.461575
2021-09-07 05:05:12.429625 : Epoch  4, Batch    678, Loss  0.550877, Average Loss  0.553457, Time  0.461498
2021-09-07 05:05:14.313351 : Epoch  4, Batch    679, Loss  0.559417, Average Loss  0.553517, Time  0.462178
2021-09-07 05:05:16.191145 : Epoch  4, Batch    680, Loss  0.554050, Average Loss  0.553551, Time  0.461048
2021-09-07 05:05:18.065326 : Epoch  4, Batch    681, Loss  0.554344, Average Loss  0.553585, Time  0.461174
2021-09-07 05:05:19.928756 : Epoch  4, Batch    682, Loss  0.552648, Average Loss  0.553632, Time  0.461147
2021-09-07 05:05:21.803426 : Epoch  4, Batch    683, Loss  0.562517, Average Loss  0.553726, Time  0.461478
2021-09-07 05:05:23.667756 : Epoch  4, Batch    684, Loss  0.551336, Average Loss  0.553778, Time  0.460660
2021-09-07 05:05:25.533377 : Epoch  4, Batch    685, Loss  0.557423, Average Loss  0.553825, Time  0.461378
2021-09-07 05:05:27.418360 : Epoch  4, Batch    686, Loss  0.545296, Average Loss  0.553794, Time  0.461524
2021-09-07 05:05:29.286963 : Epoch  4, Batch    687, Loss  0.534200, Average Loss  0.553711, Time  0.461492
2021-09-07 05:05:31.160371 : Epoch  4, Batch    688, Loss  0.547990, Average Loss  0.553704, Time  0.461979
2021-09-07 05:05:33.033111 : Epoch  4, Batch    689, Loss  0.537069, Average Loss  0.553586, Time  0.462145
2021-09-07 05:05:34.924931 : Epoch  4, Batch    690, Loss  0.567167, Average Loss  0.553587, Time  0.461617
2021-09-07 05:05:36.814753 : Epoch  4, Batch    691, Loss  0.545802, Average Loss  0.553512, Time  0.462332
2021-09-07 05:05:38.702903 : Epoch  4, Batch    692, Loss  0.551205, Average Loss  0.553486, Time  0.460702
2021-09-07 05:05:40.581321 : Epoch  4, Batch    693, Loss  0.550205, Average Loss  0.553438, Time  0.460906
2021-09-07 05:05:42.453960 : Epoch  4, Batch    694, Loss  0.551774, Average Loss  0.553417, Time  0.462698
2021-09-07 05:05:44.319228 : Epoch  4, Batch    695, Loss  0.543706, Average Loss  0.553388, Time  0.460887
2021-09-07 05:05:46.203431 : Epoch  4, Batch    696, Loss  0.554842, Average Loss  0.553331, Time  0.461615
2021-09-07 05:05:48.087913 : Epoch  4, Batch    697, Loss  0.561587, Average Loss  0.553363, Time  0.462041
2021-09-07 05:05:49.974551 : Epoch  4, Batch    698, Loss  0.544336, Average Loss  0.553361, Time  0.461716
2021-09-07 05:05:51.848349 : Epoch  4, Batch    699, Loss  0.545331, Average Loss  0.553307, Time  0.461434
2021-09-07 05:05:53.727712 : Epoch  4, Batch    700, Loss  0.560647, Average Loss  0.553318, Time  0.460881
2021-09-07 05:05:55.600944 : Epoch  4, Batch    701, Loss  0.548444, Average Loss  0.553326, Time  0.461263
2021-09-07 05:05:57.482252 : Epoch  4, Batch    702, Loss  0.542911, Average Loss  0.553198, Time  0.461712
2021-09-07 05:05:59.363767 : Epoch  4, Batch    703, Loss  0.545980, Average Loss  0.553196, Time  0.461195
2021-09-07 05:06:01.231040 : Epoch  4, Batch    704, Loss  0.560006, Average Loss  0.553277, Time  0.462175
2021-09-07 05:06:03.108239 : Epoch  4, Batch    705, Loss  0.548369, Average Loss  0.553239, Time  0.460815
2021-09-07 05:06:04.989946 : Epoch  4, Batch    706, Loss  0.551078, Average Loss  0.553232, Time  0.461173
2021-09-07 05:06:06.866729 : Epoch  4, Batch    707, Loss  0.550208, Average Loss  0.553235, Time  0.460608
2021-09-07 05:06:08.732576 : Epoch  4, Batch    708, Loss  0.558001, Average Loss  0.553224, Time  0.460780
2021-09-07 05:06:10.597051 : Epoch  4, Batch    709, Loss  0.558666, Average Loss  0.553212, Time  0.461105
2021-09-07 05:06:14.576368 : Epoch  4, Batch    710, Loss  0.550550, Average Loss  0.553248, Time  0.473782
2021-09-07 05:06:16.442093 : Epoch  4, Batch    711, Loss  0.543809, Average Loss  0.553179, Time  0.461260
2021-09-07 05:06:18.320976 : Epoch  4, Batch    712, Loss  0.538574, Average Loss  0.553150, Time  0.461270
2021-09-07 05:06:20.182784 : Epoch  4, Batch    713, Loss  0.559484, Average Loss  0.553132, Time  0.460800
2021-09-07 05:06:22.040392 : Epoch  4, Batch    714, Loss  0.560637, Average Loss  0.553176, Time  0.461140
2021-09-07 05:06:23.897804 : Epoch  4, Batch    715, Loss  0.546660, Average Loss  0.553183, Time  0.460722
2021-09-07 05:06:25.760680 : Epoch  4, Batch    716, Loss  0.548251, Average Loss  0.553223, Time  0.460819
2021-09-07 05:06:27.633105 : Epoch  4, Batch    717, Loss  0.544252, Average Loss  0.553232, Time  0.461783
2021-09-07 05:06:29.499524 : Epoch  4, Batch    718, Loss  0.547210, Average Loss  0.553187, Time  0.462104
2021-09-07 05:06:31.376650 : Epoch  4, Batch    719, Loss  0.548662, Average Loss  0.553154, Time  0.461835
2021-09-07 05:06:33.263453 : Epoch  4, Batch    720, Loss  0.559563, Average Loss  0.553191, Time  0.462108
2021-09-07 05:06:35.133108 : Epoch  4, Batch    721, Loss  0.549299, Average Loss  0.553290, Time  0.460785
2021-09-07 05:06:37.001032 : Epoch  4, Batch    722, Loss  0.565790, Average Loss  0.553296, Time  0.461132
2021-09-07 05:06:38.861993 : Epoch  4, Batch    723, Loss  0.543020, Average Loss  0.553243, Time  0.461404
2021-09-07 05:06:40.725156 : Epoch  4, Batch    724, Loss  0.560626, Average Loss  0.553209, Time  0.462174
2021-09-07 05:06:42.616024 : Epoch  4, Batch    725, Loss  0.552445, Average Loss  0.553142, Time  0.461631
2021-09-07 05:06:44.486652 : Epoch  4, Batch    726, Loss  0.562255, Average Loss  0.553262, Time  0.462178
2021-09-07 05:06:46.372287 : Epoch  4, Batch    727, Loss  0.561831, Average Loss  0.553329, Time  0.461253
2021-09-07 05:06:48.238036 : Epoch  4, Batch    728, Loss  0.553006, Average Loss  0.553372, Time  0.461037
2021-09-07 05:06:50.105140 : Epoch  4, Batch    729, Loss  0.557087, Average Loss  0.553380, Time  0.463450
2021-09-07 05:06:52.002166 : Epoch  4, Batch    730, Loss  0.551577, Average Loss  0.553325, Time  0.461333
2021-09-07 05:06:53.887828 : Epoch  4, Batch    731, Loss  0.571595, Average Loss  0.553415, Time  0.461750
2021-09-07 05:06:55.771830 : Epoch  4, Batch    732, Loss  0.544332, Average Loss  0.553363, Time  0.460908
2021-09-07 05:06:57.640219 : Epoch  4, Batch    733, Loss  0.547049, Average Loss  0.553338, Time  0.460459
2021-09-07 05:06:59.513776 : Epoch  4, Batch    734, Loss  0.559399, Average Loss  0.553359, Time  0.462641
2021-09-07 05:07:01.404849 : Epoch  4, Batch    735, Loss  0.545685, Average Loss  0.553348, Time  0.462094
2021-09-07 05:07:03.280176 : Epoch  4, Batch    736, Loss  0.559891, Average Loss  0.553370, Time  0.461676
2021-09-07 05:07:05.147506 : Epoch  4, Batch    737, Loss  0.543748, Average Loss  0.553292, Time  0.461629
2021-09-07 05:07:07.068474 : Epoch  4, Batch    738, Loss  0.552730, Average Loss  0.553306, Time  0.463628
2021-09-07 05:07:08.961936 : Epoch  4, Batch    739, Loss  0.537631, Average Loss  0.553217, Time  0.461556
2021-09-07 05:08:12.983217 : CheckPoint: Validation Loss  0.00023972, Best Loss  0.00022399
2021-09-07 05:08:14.867496 : Epoch  4, Batch    740, Loss  0.557472, Average Loss  0.553236, Time  0.461866
2021-09-07 05:08:16.741643 : Epoch  4, Batch    741, Loss  0.543123, Average Loss  0.553204, Time  0.460596
2021-09-07 05:08:18.615936 : Epoch  4, Batch    742, Loss  0.543397, Average Loss  0.553120, Time  0.461025
2021-09-07 05:08:20.497244 : Epoch  4, Batch    743, Loss  0.548321, Average Loss  0.553079, Time  0.461135
2021-09-07 05:08:22.371059 : Epoch  4, Batch    744, Loss  0.548912, Average Loss  0.553033, Time  0.460386
2021-09-07 05:08:24.250313 : Epoch  4, Batch    745, Loss  0.548122, Average Loss  0.552915, Time  0.461718
2021-09-07 05:08:26.129433 : Epoch  4, Batch    746, Loss  0.529194, Average Loss  0.552831, Time  0.461477
2021-09-07 05:08:28.006630 : Epoch  4, Batch    747, Loss  0.555470, Average Loss  0.552874, Time  0.462237
2021-09-07 05:08:29.892678 : Epoch  4, Batch    748, Loss  0.557901, Average Loss  0.552833, Time  0.462018
2021-09-07 05:08:31.783741 : Epoch  4, Batch    749, Loss  0.556296, Average Loss  0.552802, Time  0.462106
2021-09-07 05:08:33.658016 : Epoch  4, Batch    750, Loss  0.550873, Average Loss  0.552773, Time  0.462362
2021-09-07 05:08:35.528825 : Epoch  4, Batch    751, Loss  0.542116, Average Loss  0.552739, Time  0.461366
2021-09-07 05:08:37.408502 : Epoch  4, Batch    752, Loss  0.539854, Average Loss  0.552639, Time  0.461460
2021-09-07 05:08:39.286261 : Epoch  4, Batch    753, Loss  0.561944, Average Loss  0.552639, Time  0.460600
2021-09-07 05:08:41.169238 : Epoch  4, Batch    754, Loss  0.543962, Average Loss  0.552582, Time  0.461018
2021-09-07 05:08:43.039766 : Epoch  4, Batch    755, Loss  0.552935, Average Loss  0.552570, Time  0.461121
2021-09-07 05:08:44.931803 : Epoch  4, Batch    756, Loss  0.556301, Average Loss  0.552520, Time  0.461308
2021-09-07 05:08:46.812333 : Epoch  4, Batch    757, Loss  0.550484, Average Loss  0.552483, Time  0.463629
2021-09-07 05:08:48.700797 : Epoch  4, Batch    758, Loss  0.556817, Average Loss  0.552462, Time  0.460489
2021-09-07 05:08:50.566169 : Epoch  4, Batch    759, Loss  0.563976, Average Loss  0.552547, Time  0.461665
2021-09-07 05:08:52.437539 : Epoch  4, Batch    760, Loss  0.549166, Average Loss  0.552467, Time  0.461908
2021-09-07 05:08:54.302035 : Epoch  4, Batch    761, Loss  0.554456, Average Loss  0.552488, Time  0.460885
2021-09-07 05:08:56.180982 : Epoch  4, Batch    762, Loss  0.547952, Average Loss  0.552434, Time  0.462561
2021-09-07 05:08:58.062261 : Epoch  4, Batch    763, Loss  0.548578, Average Loss  0.552400, Time  0.460828
2021-09-07 05:08:59.947404 : Epoch  4, Batch    764, Loss  0.555216, Average Loss  0.552420, Time  0.461303
2021-09-07 05:09:01.809627 : Epoch  4, Batch    765, Loss  0.547335, Average Loss  0.552321, Time  0.462428
2021-09-07 05:09:03.681398 : Epoch  4, Batch    766, Loss  0.553000, Average Loss  0.552324, Time  0.462511
2021-09-07 05:09:05.577041 : Epoch  4, Batch    767, Loss  0.562195, Average Loss  0.552385, Time  0.461858
2021-09-07 05:09:07.458221 : Epoch  4, Batch    768, Loss  0.558127, Average Loss  0.552395, Time  0.461656
2021-09-07 05:09:09.335145 : Epoch  4, Batch    769, Loss  0.550543, Average Loss  0.552406, Time  0.460935
2021-09-07 05:09:11.202744 : Epoch  4, Batch    770, Loss  0.556350, Average Loss  0.552397, Time  0.461211
2021-09-07 05:09:13.070525 : Epoch  4, Batch    771, Loss  0.552623, Average Loss  0.552390, Time  0.462038
2021-09-07 05:09:14.938974 : Epoch  4, Batch    772, Loss  0.537475, Average Loss  0.552307, Time  0.461050
2021-09-07 05:09:16.818923 : Epoch  4, Batch    773, Loss  0.546365, Average Loss  0.552296, Time  0.463012
2021-09-07 05:09:18.678838 : Epoch  4, Batch    774, Loss  0.545163, Average Loss  0.552325, Time  0.460702
2021-09-07 05:09:20.542206 : Epoch  4, Batch    775, Loss  0.550821, Average Loss  0.552279, Time  0.460595
2021-09-07 05:09:22.417198 : Epoch  4, Batch    776, Loss  0.549743, Average Loss  0.552240, Time  0.460796
2021-09-07 05:09:24.287271 : Epoch  4, Batch    777, Loss  0.551331, Average Loss  0.552165, Time  0.461023
2021-09-07 05:09:26.157164 : Epoch  4, Batch    778, Loss  0.553250, Average Loss  0.552217, Time  0.462402
2021-09-07 05:09:28.031104 : Epoch  4, Batch    779, Loss  0.539536, Average Loss  0.552219, Time  0.461135
2021-09-07 05:09:29.897157 : Epoch  4, Batch    780, Loss  0.551471, Average Loss  0.552311, Time  0.463882
2021-09-07 05:09:31.783872 : Epoch  4, Batch    781, Loss  0.535261, Average Loss  0.552253, Time  0.461625
2021-09-07 05:09:33.657369 : Epoch  4, Batch    782, Loss  0.574053, Average Loss  0.552371, Time  0.461919
2021-09-07 05:09:35.536106 : Epoch  4, Batch    783, Loss  0.544642, Average Loss  0.552346, Time  0.461356
2021-09-07 05:09:37.396372 : Epoch  4, Batch    784, Loss  0.557984, Average Loss  0.552460, Time  0.460712
2021-09-07 05:09:39.280508 : Epoch  4, Batch    785, Loss  0.549867, Average Loss  0.552426, Time  0.462229
2021-09-07 05:09:41.169152 : Epoch  4, Batch    786, Loss  0.548757, Average Loss  0.552429, Time  0.463643
2021-09-07 05:09:43.056874 : Epoch  4, Batch    787, Loss  0.544017, Average Loss  0.552405, Time  0.461601
2021-09-07 05:09:43.082464 : Saving Model after 4-th Epoch.
2021-09-07 05:09:47.151519 : Epoch Finished.
2021-09-07 05:09:49.248169 : Batch Shuffled
2021-09-07 05:09:51.148028 : Epoch  5, Batch      1, Loss  0.549089, Average Loss  0.552337, Time  0.474018
2021-09-07 05:09:53.021021 : Epoch  5, Batch      2, Loss  0.544619, Average Loss  0.552288, Time  0.462000
2021-09-07 05:09:54.892940 : Epoch  5, Batch      3, Loss  0.555028, Average Loss  0.552297, Time  0.461688
2021-09-07 05:09:56.751986 : Epoch  5, Batch      4, Loss  0.553497, Average Loss  0.552290, Time  0.461093
2021-09-07 05:09:58.610429 : Epoch  5, Batch      5, Loss  0.554978, Average Loss  0.552253, Time  0.461875
2021-09-07 05:10:00.494494 : Epoch  5, Batch      6, Loss  0.550034, Average Loss  0.552243, Time  0.461526
2021-09-07 05:10:02.355370 : Epoch  5, Batch      7, Loss  0.536079, Average Loss  0.552153, Time  0.460929
2021-09-07 05:10:04.208040 : Epoch  5, Batch      8, Loss  0.537648, Average Loss  0.552163, Time  0.460706
2021-09-07 05:10:06.113482 : Epoch  5, Batch      9, Loss  0.537649, Average Loss  0.552178, Time  0.463640
2021-09-07 05:10:07.994792 : Epoch  5, Batch     10, Loss  0.552158, Average Loss  0.552071, Time  0.461138
2021-09-07 05:10:09.856366 : Epoch  5, Batch     11, Loss  0.546288, Average Loss  0.552070, Time  0.460876
2021-09-07 05:10:11.714683 : Epoch  5, Batch     12, Loss  0.542751, Average Loss  0.552047, Time  0.460750
2021-09-07 05:10:13.582773 : Epoch  5, Batch     13, Loss  0.541792, Average Loss  0.552061, Time  0.462292
2021-09-07 05:10:15.459214 : Epoch  5, Batch     14, Loss  0.555677, Average Loss  0.552132, Time  0.462046
2021-09-07 05:10:17.320303 : Epoch  5, Batch     15, Loss  0.551884, Average Loss  0.552090, Time  0.460350
2021-09-07 05:10:19.188881 : Epoch  5, Batch     16, Loss  0.540251, Average Loss  0.552028, Time  0.461978
2021-09-07 05:10:21.067385 : Epoch  5, Batch     17, Loss  0.555469, Average Loss  0.552100, Time  0.462364
2021-09-07 05:10:22.942379 : Epoch  5, Batch     18, Loss  0.543425, Average Loss  0.552090, Time  0.461655
2021-09-07 05:10:24.813798 : Epoch  5, Batch     19, Loss  0.539356, Average Loss  0.552028, Time  0.461844
2021-09-07 05:10:26.684353 : Epoch  5, Batch     20, Loss  0.550468, Average Loss  0.552068, Time  0.464414
2021-09-07 05:10:28.597332 : Epoch  5, Batch     21, Loss  0.557998, Average Loss  0.552119, Time  0.461402
2021-09-07 05:10:30.467218 : Epoch  5, Batch     22, Loss  0.529142, Average Loss  0.551997, Time  0.461909
2021-09-07 05:10:32.346571 : Epoch  5, Batch     23, Loss  0.560264, Average Loss  0.551977, Time  0.460895
2021-09-07 05:10:34.218156 : Epoch  5, Batch     24, Loss  0.544926, Average Loss  0.551984, Time  0.461931
2021-09-07 05:10:36.082318 : Epoch  5, Batch     25, Loss  0.558351, Average Loss  0.552559, Time  0.461845
2021-09-07 05:10:37.966225 : Epoch  5, Batch     26, Loss  0.559984, Average Loss  0.552573, Time  0.462078
2021-09-07 05:10:39.846594 : Epoch  5, Batch     27, Loss  0.547997, Average Loss  0.552404, Time  0.463828
2021-09-07 05:10:41.791191 : Epoch  5, Batch     28, Loss  0.543726, Average Loss  0.552252, Time  0.462835
2021-09-07 05:10:43.712244 : Epoch  5, Batch     29, Loss  0.541317, Average Loss  0.552058, Time  0.463599
2021-09-07 05:10:45.601525 : Epoch  5, Batch     30, Loss  0.554943, Average Loss  0.552000, Time  0.461085
2021-09-07 05:10:47.466059 : Epoch  5, Batch     31, Loss  0.560692, Average Loss  0.551933, Time  0.461424
2021-09-07 05:10:49.326476 : Epoch  5, Batch     32, Loss  0.535283, Average Loss  0.551762, Time  0.460710
2021-09-07 05:10:51.199461 : Epoch  5, Batch     33, Loss  0.555750, Average Loss  0.551780, Time  0.461596
2021-09-07 05:10:53.063820 : Epoch  5, Batch     34, Loss  0.539648, Average Loss  0.551602, Time  0.460711
2021-09-07 05:10:54.930454 : Epoch  5, Batch     35, Loss  0.556661, Average Loss  0.551557, Time  0.461420
2021-09-07 05:10:56.799363 : Epoch  5, Batch     36, Loss  0.553381, Average Loss  0.551472, Time  0.460946
2021-09-07 05:10:58.661972 : Epoch  5, Batch     37, Loss  0.550708, Average Loss  0.551458, Time  0.461699
2021-09-07 05:11:00.526412 : Epoch  5, Batch     38, Loss  0.553595, Average Loss  0.551450, Time  0.462301
2021-09-07 05:11:02.391660 : Epoch  5, Batch     39, Loss  0.548979, Average Loss  0.551329, Time  0.461421
2021-09-07 05:11:04.255390 : Epoch  5, Batch     40, Loss  0.545980, Average Loss  0.551231, Time  0.461040
2021-09-07 05:11:06.126723 : Epoch  5, Batch     41, Loss  0.541836, Average Loss  0.551223, Time  0.461997
2021-09-07 05:11:08.003821 : Epoch  5, Batch     42, Loss  0.546658, Average Loss  0.551167, Time  0.461591
2021-09-07 05:11:09.892068 : Epoch  5, Batch     43, Loss  0.550967, Average Loss  0.551193, Time  0.462410
2021-09-07 05:11:11.806865 : Epoch  5, Batch     44, Loss  0.552395, Average Loss  0.551139, Time  0.462371
2021-09-07 05:11:13.695308 : Epoch  5, Batch     45, Loss  0.549532, Average Loss  0.551069, Time  0.461902
2021-09-07 05:11:15.559351 : Epoch  5, Batch     46, Loss  0.548975, Average Loss  0.551012, Time  0.461185
2021-09-07 05:11:17.422049 : Epoch  5, Batch     47, Loss  0.542192, Average Loss  0.550988, Time  0.460582
2021-09-07 05:11:19.301084 : Epoch  5, Batch     48, Loss  0.536738, Average Loss  0.550850, Time  0.462149
2021-09-07 05:11:21.179824 : Epoch  5, Batch     49, Loss  0.556347, Average Loss  0.550839, Time  0.461075
2021-09-07 05:11:23.048682 : Epoch  5, Batch     50, Loss  0.539728, Average Loss  0.550820, Time  0.462001
2021-09-07 05:11:24.922928 : Epoch  5, Batch     51, Loss  0.540131, Average Loss  0.550755, Time  0.462009
2021-09-07 05:11:26.818745 : Epoch  5, Batch     52, Loss  0.551026, Average Loss  0.550747, Time  0.462620
2021-09-07 05:12:30.882788 : CheckPoint: Validation Loss  0.00023050, Best Loss  0.00022399
2021-09-07 05:12:32.758193 : Epoch  5, Batch     53, Loss  0.557098, Average Loss  0.550767, Time  0.461607
2021-09-07 05:12:34.638177 : Epoch  5, Batch     54, Loss  0.548269, Average Loss  0.550753, Time  0.461385
2021-09-07 05:12:36.520248 : Epoch  5, Batch     55, Loss  0.556238, Average Loss  0.550793, Time  0.460732
2021-09-07 05:12:38.388156 : Epoch  5, Batch     56, Loss  0.549984, Average Loss  0.550745, Time  0.460834
2021-09-07 05:12:40.252627 : Epoch  5, Batch     57, Loss  0.538607, Average Loss  0.550684, Time  0.461178
2021-09-07 05:12:42.127435 : Epoch  5, Batch     58, Loss  0.561318, Average Loss  0.550710, Time  0.461031
2021-09-07 05:12:43.991643 : Epoch  5, Batch     59, Loss  0.555098, Average Loss  0.550764, Time  0.460662
2021-09-07 05:12:45.867403 : Epoch  5, Batch     60, Loss  0.544318, Average Loss  0.550687, Time  0.462004
2021-09-07 05:12:47.747305 : Epoch  5, Batch     61, Loss  0.548962, Average Loss  0.550620, Time  0.461281
2021-09-07 05:12:49.629172 : Epoch  5, Batch     62, Loss  0.539889, Average Loss  0.550550, Time  0.460705
2021-09-07 05:12:51.500423 : Epoch  5, Batch     63, Loss  0.552438, Average Loss  0.550532, Time  0.461152
2021-09-07 05:12:53.366913 : Epoch  5, Batch     64, Loss  0.533273, Average Loss  0.550506, Time  0.460801
2021-09-07 05:12:55.239831 : Epoch  5, Batch     65, Loss  0.550735, Average Loss  0.550530, Time  0.461031
2021-09-07 05:12:57.102968 : Epoch  5, Batch     66, Loss  0.561771, Average Loss  0.550578, Time  0.460674
2021-09-07 05:12:58.990052 : Epoch  5, Batch     67, Loss  0.549170, Average Loss  0.550612, Time  0.461468
2021-09-07 05:13:00.867861 : Epoch  5, Batch     68, Loss  0.547895, Average Loss  0.550565, Time  0.461533
2021-09-07 05:13:02.752766 : Epoch  5, Batch     69, Loss  0.542399, Average Loss  0.550408, Time  0.460390
2021-09-07 05:13:04.614704 : Epoch  5, Batch     70, Loss  0.547131, Average Loss  0.550312, Time  0.462073
2021-09-07 05:13:06.486613 : Epoch  5, Batch     71, Loss  0.564480, Average Loss  0.550392, Time  0.460821
2021-09-07 05:13:08.361157 : Epoch  5, Batch     72, Loss  0.548808, Average Loss  0.550387, Time  0.461569
2021-09-07 05:13:10.226466 : Epoch  5, Batch     73, Loss  0.556580, Average Loss  0.550389, Time  0.461022
2021-09-07 05:13:12.091503 : Epoch  5, Batch     74, Loss  0.554331, Average Loss  0.550439, Time  0.461013
2021-09-07 05:13:13.962934 : Epoch  5, Batch     75, Loss  0.560105, Average Loss  0.550510, Time  0.462060
2021-09-07 05:13:15.834772 : Epoch  5, Batch     76, Loss  0.552450, Average Loss  0.550533, Time  0.461241
2021-09-07 05:13:17.706245 : Epoch  5, Batch     77, Loss  0.550750, Average Loss  0.550523, Time  0.461070
2021-09-07 05:13:19.577204 : Epoch  5, Batch     78, Loss  0.547866, Average Loss  0.550486, Time  0.460575
2021-09-07 05:13:21.459531 : Epoch  5, Batch     79, Loss  0.540632, Average Loss  0.550443, Time  0.461423
2021-09-07 05:13:23.343628 : Epoch  5, Batch     80, Loss  0.558443, Average Loss  0.550433, Time  0.461483
2021-09-07 05:13:25.223975 : Epoch  5, Batch     81, Loss  0.561020, Average Loss  0.550395, Time  0.461633
2021-09-07 05:13:27.096514 : Epoch  5, Batch     82, Loss  0.550652, Average Loss  0.550398, Time  0.461774
2021-09-07 05:13:28.969656 : Epoch  5, Batch     83, Loss  0.550415, Average Loss  0.550308, Time  0.460938
2021-09-07 05:13:30.838693 : Epoch  5, Batch     84, Loss  0.548523, Average Loss  0.550318, Time  0.460909
2021-09-07 05:13:32.699647 : Epoch  5, Batch     85, Loss  0.555398, Average Loss  0.550338, Time  0.460609
2021-09-07 05:13:34.582306 : Epoch  5, Batch     86, Loss  0.556603, Average Loss  0.550406, Time  0.460682
2021-09-07 05:13:36.455125 : Epoch  5, Batch     87, Loss  0.551511, Average Loss  0.550365, Time  0.460909
2021-09-07 05:13:38.332229 : Epoch  5, Batch     88, Loss  0.556225, Average Loss  0.550391, Time  0.461632
2021-09-07 05:13:40.219293 : Epoch  5, Batch     89, Loss  0.542802, Average Loss  0.550338, Time  0.462349
2021-09-07 05:13:42.093765 : Epoch  5, Batch     90, Loss  0.552183, Average Loss  0.550376, Time  0.461142
2021-09-07 05:13:43.955417 : Epoch  5, Batch     91, Loss  0.549560, Average Loss  0.550369, Time  0.460593
2021-09-07 05:13:45.821746 : Epoch  5, Batch     92, Loss  0.553269, Average Loss  0.550339, Time  0.461068
2021-09-07 05:13:47.707858 : Epoch  5, Batch     93, Loss  0.552743, Average Loss  0.550332, Time  0.460318
2021-09-07 05:13:49.574418 : Epoch  5, Batch     94, Loss  0.556023, Average Loss  0.550340, Time  0.460859
2021-09-07 05:13:51.454862 : Epoch  5, Batch     95, Loss  0.561774, Average Loss  0.550386, Time  0.461766
2021-09-07 05:13:53.327515 : Epoch  5, Batch     96, Loss  0.554561, Average Loss  0.550346, Time  0.462612
2021-09-07 05:13:55.189823 : Epoch  5, Batch     97, Loss  0.561246, Average Loss  0.550396, Time  0.460805
2021-09-07 05:13:57.047949 : Epoch  5, Batch     98, Loss  0.543436, Average Loss  0.550326, Time  0.460772
2021-09-07 05:13:58.928265 : Epoch  5, Batch     99, Loss  0.547267, Average Loss  0.550336, Time  0.461370
2021-09-07 05:14:00.788752 : Epoch  5, Batch    100, Loss  0.547431, Average Loss  0.550402, Time  0.460811
2021-09-07 05:14:02.658716 : Epoch  5, Batch    101, Loss  0.542463, Average Loss  0.550374, Time  0.461417
2021-09-07 05:14:04.547062 : Epoch  5, Batch    102, Loss  0.556777, Average Loss  0.550473, Time  0.461804
2021-09-07 05:14:06.430919 : Epoch  5, Batch    103, Loss  0.542676, Average Loss  0.550350, Time  0.462879
2021-09-07 05:14:08.291887 : Epoch  5, Batch    104, Loss  0.551831, Average Loss  0.550381, Time  0.461892
2021-09-07 05:14:10.178849 : Epoch  5, Batch    105, Loss  0.546529, Average Loss  0.550357, Time  0.461051
2021-09-07 05:14:12.040865 : Epoch  5, Batch    106, Loss  0.551191, Average Loss  0.550362, Time  0.460571
2021-09-07 05:14:13.928892 : Epoch  5, Batch    107, Loss  0.534699, Average Loss  0.550277, Time  0.461340
2021-09-07 05:14:15.802096 : Epoch  5, Batch    108, Loss  0.555817, Average Loss  0.550337, Time  0.460896
2021-09-07 05:14:17.668629 : Epoch  5, Batch    109, Loss  0.560601, Average Loss  0.550366, Time  0.460607
2021-09-07 05:14:19.534327 : Epoch  5, Batch    110, Loss  0.541923, Average Loss  0.550268, Time  0.460524
2021-09-07 05:14:21.405972 : Epoch  5, Batch    111, Loss  0.548211, Average Loss  0.550287, Time  0.460968
2021-09-07 05:14:23.283964 : Epoch  5, Batch    112, Loss  0.550110, Average Loss  0.550311, Time  0.461515
2021-09-07 05:14:25.168220 : Epoch  5, Batch    113, Loss  0.548669, Average Loss  0.550251, Time  0.461535
2021-09-07 05:14:27.049159 : Epoch  5, Batch    114, Loss  0.552323, Average Loss  0.550271, Time  0.461605
2021-09-07 05:14:28.912796 : Epoch  5, Batch    115, Loss  0.553574, Average Loss  0.550324, Time  0.460769
2021-09-07 05:14:30.786215 : Epoch  5, Batch    116, Loss  0.555112, Average Loss  0.550370, Time  0.461059
2021-09-07 05:14:32.647500 : Epoch  5, Batch    117, Loss  0.550779, Average Loss  0.550323, Time  0.461296
2021-09-07 05:14:34.518889 : Epoch  5, Batch    118, Loss  0.545170, Average Loss  0.550307, Time  0.460707
2021-09-07 05:14:36.388780 : Epoch  5, Batch    119, Loss  0.554089, Average Loss  0.550322, Time  0.460802
2021-09-07 05:14:38.265286 : Epoch  5, Batch    120, Loss  0.547445, Average Loss  0.550309, Time  0.464282
2021-09-07 05:14:40.177611 : Epoch  5, Batch    121, Loss  0.557516, Average Loss  0.550306, Time  0.462602
2021-09-07 05:14:42.068014 : Epoch  5, Batch    122, Loss  0.554218, Average Loss  0.550284, Time  0.461286
2021-09-07 05:14:46.045480 : Epoch  5, Batch    123, Loss  0.548310, Average Loss  0.550273, Time  0.475477
2021-09-07 05:14:47.912236 : Epoch  5, Batch    124, Loss  0.544807, Average Loss  0.550278, Time  0.461407
2021-09-07 05:14:49.796249 : Epoch  5, Batch    125, Loss  0.528906, Average Loss  0.550229, Time  0.462909
2021-09-07 05:14:51.709352 : Epoch  5, Batch    126, Loss  0.553153, Average Loss  0.550198, Time  0.461406
2021-09-07 05:14:53.584315 : Epoch  5, Batch    127, Loss  0.546180, Average Loss  0.550125, Time  0.461466
2021-09-07 05:14:55.460034 : Epoch  5, Batch    128, Loss  0.535378, Average Loss  0.550069, Time  0.461729
2021-09-07 05:14:57.340736 : Epoch  5, Batch    129, Loss  0.548121, Average Loss  0.550068, Time  0.461338
2021-09-07 05:14:59.196618 : Epoch  5, Batch    130, Loss  0.543482, Average Loss  0.550065, Time  0.460720
2021-09-07 05:15:01.074481 : Epoch  5, Batch    131, Loss  0.545691, Average Loss  0.550057, Time  0.460678
2021-09-07 05:15:02.948129 : Epoch  5, Batch    132, Loss  0.557946, Average Loss  0.550103, Time  0.462464
2021-09-07 05:15:04.831513 : Epoch  5, Batch    133, Loss  0.555668, Average Loss  0.550084, Time  0.465082
2021-09-07 05:15:06.715304 : Epoch  5, Batch    134, Loss  0.539945, Average Loss  0.550037, Time  0.460491
2021-09-07 05:15:08.582770 : Epoch  5, Batch    135, Loss  0.557408, Average Loss  0.549995, Time  0.461694
2021-09-07 05:15:10.470483 : Epoch  5, Batch    136, Loss  0.541677, Average Loss  0.549989, Time  0.461753
2021-09-07 05:15:12.348237 : Epoch  5, Batch    137, Loss  0.543688, Average Loss  0.549904, Time  0.461016
2021-09-07 05:15:14.235170 : Epoch  5, Batch    138, Loss  0.544288, Average Loss  0.549863, Time  0.462861
2021-09-07 05:15:16.117138 : Epoch  5, Batch    139, Loss  0.570208, Average Loss  0.549903, Time  0.460733
2021-09-07 05:15:17.988805 : Epoch  5, Batch    140, Loss  0.546693, Average Loss  0.549827, Time  0.462133
2021-09-07 05:15:19.888488 : Epoch  5, Batch    141, Loss  0.550510, Average Loss  0.549815, Time  0.460928
2021-09-07 05:15:21.771977 : Epoch  5, Batch    142, Loss  0.542510, Average Loss  0.549742, Time  0.461617
2021-09-07 05:15:23.660533 : Epoch  5, Batch    143, Loss  0.535970, Average Loss  0.549664, Time  0.461595
2021-09-07 05:15:25.562510 : Epoch  5, Batch    144, Loss  0.548526, Average Loss  0.549548, Time  0.461312
2021-09-07 05:15:27.431032 : Epoch  5, Batch    145, Loss  0.563088, Average Loss  0.549642, Time  0.461265
2021-09-07 05:15:29.308092 : Epoch  5, Batch    146, Loss  0.546710, Average Loss  0.549640, Time  0.461212
2021-09-07 05:15:31.173045 : Epoch  5, Batch    147, Loss  0.534223, Average Loss  0.549515, Time  0.460167
2021-09-07 05:15:33.047089 : Epoch  5, Batch    148, Loss  0.549138, Average Loss  0.549532, Time  0.461766
2021-09-07 05:15:34.922985 : Epoch  5, Batch    149, Loss  0.548226, Average Loss  0.549474, Time  0.460885
2021-09-07 05:15:36.783848 : Epoch  5, Batch    150, Loss  0.551288, Average Loss  0.549511, Time  0.461964
2021-09-07 05:15:38.670503 : Epoch  5, Batch    151, Loss  0.554969, Average Loss  0.549522, Time  0.461429
2021-09-07 05:15:40.551253 : Epoch  5, Batch    152, Loss  0.566337, Average Loss  0.549666, Time  0.461365
2021-09-07 05:16:44.419331 : CheckPoint: Validation Loss  0.00022510, Best Loss  0.00022399
2021-09-07 05:16:46.290409 : Epoch  5, Batch    153, Loss  0.556242, Average Loss  0.549660, Time  0.461202
2021-09-07 05:16:48.161718 : Epoch  5, Batch    154, Loss  0.551509, Average Loss  0.549702, Time  0.461838
2021-09-07 05:16:50.045803 : Epoch  5, Batch    155, Loss  0.547266, Average Loss  0.549721, Time  0.461404
2021-09-07 05:16:51.944216 : Epoch  5, Batch    156, Loss  0.544055, Average Loss  0.549700, Time  0.460293
2021-09-07 05:16:53.827713 : Epoch  5, Batch    157, Loss  0.550186, Average Loss  0.549706, Time  0.461100
2021-09-07 05:16:55.716803 : Epoch  5, Batch    158, Loss  0.562223, Average Loss  0.549777, Time  0.460614
2021-09-07 05:16:57.583902 : Epoch  5, Batch    159, Loss  0.545475, Average Loss  0.549858, Time  0.460390
2021-09-07 05:16:59.449002 : Epoch  5, Batch    160, Loss  0.540979, Average Loss  0.549786, Time  0.460894
2021-09-07 05:17:01.337701 : Epoch  5, Batch    161, Loss  0.553313, Average Loss  0.549763, Time  0.461623
2021-09-07 05:17:03.208192 : Epoch  5, Batch    162, Loss  0.540561, Average Loss  0.549684, Time  0.461266
2021-09-07 05:17:05.083074 : Epoch  5, Batch    163, Loss  0.539266, Average Loss  0.549626, Time  0.460486
2021-09-07 05:17:06.994034 : Epoch  5, Batch    164, Loss  0.553287, Average Loss  0.549682, Time  0.461840
2021-09-07 05:17:08.889545 : Epoch  5, Batch    165, Loss  0.551292, Average Loss  0.549739, Time  0.460715
2021-09-07 05:17:10.770426 : Epoch  5, Batch    166, Loss  0.555719, Average Loss  0.549708, Time  0.461885
2021-09-07 05:17:12.650344 : Epoch  5, Batch    167, Loss  0.545336, Average Loss  0.549715, Time  0.460994
2021-09-07 05:17:14.557027 : Epoch  5, Batch    168, Loss  0.547884, Average Loss  0.549689, Time  0.461181
2021-09-07 05:17:16.419946 : Epoch  5, Batch    169, Loss  0.558896, Average Loss  0.549702, Time  0.460494
2021-09-07 05:17:18.328810 : Epoch  5, Batch    170, Loss  0.564804, Average Loss  0.549774, Time  0.461445
2021-09-07 05:17:20.212274 : Epoch  5, Batch    171, Loss  0.565256, Average Loss  0.549816, Time  0.461822
2021-09-07 05:17:22.099274 : Epoch  5, Batch    172, Loss  0.557091, Average Loss  0.549782, Time  0.461104
2021-09-07 05:17:23.968170 : Epoch  5, Batch    173, Loss  0.526012, Average Loss  0.549666, Time  0.461357
2021-09-07 05:17:25.851978 : Epoch  5, Batch    174, Loss  0.563512, Average Loss  0.549711, Time  0.462554
2021-09-07 05:17:27.728166 : Epoch  5, Batch    175, Loss  0.547987, Average Loss  0.549711, Time  0.461040
2021-09-07 05:17:29.592440 : Epoch  5, Batch    176, Loss  0.545074, Average Loss  0.549694, Time  0.460839
2021-09-07 05:17:31.456794 : Epoch  5, Batch    177, Loss  0.543843, Average Loss  0.549637, Time  0.460853
2021-09-07 05:17:33.346944 : Epoch  5, Batch    178, Loss  0.541592, Average Loss  0.549608, Time  0.462397
2021-09-07 05:17:35.245128 : Epoch  5, Batch    179, Loss  0.554044, Average Loss  0.549614, Time  0.462066
2021-09-07 05:17:37.131020 : Epoch  5, Batch    180, Loss  0.543222, Average Loss  0.549519, Time  0.461548
2021-09-07 05:17:39.009236 : Epoch  5, Batch    181, Loss  0.548450, Average Loss  0.549470, Time  0.461267
2021-09-07 05:17:40.877989 : Epoch  5, Batch    182, Loss  0.551393, Average Loss  0.549475, Time  0.461894
2021-09-07 05:17:42.765923 : Epoch  5, Batch    183, Loss  0.554371, Average Loss  0.549465, Time  0.461663
2021-09-07 05:17:44.647462 : Epoch  5, Batch    184, Loss  0.547499, Average Loss  0.549439, Time  0.462259
2021-09-07 05:17:46.511227 : Epoch  5, Batch    185, Loss  0.542031, Average Loss  0.549462, Time  0.461078
2021-09-07 05:17:48.372005 : Epoch  5, Batch    186, Loss  0.556365, Average Loss  0.549512, Time  0.461556
2021-09-07 05:17:50.248410 : Epoch  5, Batch    187, Loss  0.550639, Average Loss  0.549539, Time  0.462006
2021-09-07 05:17:52.118077 : Epoch  5, Batch    188, Loss  0.544276, Average Loss  0.549507, Time  0.460917
2021-09-07 05:17:53.987020 : Epoch  5, Batch    189, Loss  0.540097, Average Loss  0.549458, Time  0.461642
2021-09-07 05:17:55.869174 : Epoch  5, Batch    190, Loss  0.550455, Average Loss  0.549454, Time  0.461217
2021-09-07 05:17:57.741733 : Epoch  5, Batch    191, Loss  0.540788, Average Loss  0.549392, Time  0.461306
2021-09-07 05:17:59.628817 : Epoch  5, Batch    192, Loss  0.545463, Average Loss  0.549421, Time  0.461968
2021-09-07 05:18:01.514406 : Epoch  5, Batch    193, Loss  0.542180, Average Loss  0.549375, Time  0.460965
2021-09-07 05:18:03.380870 : Epoch  5, Batch    194, Loss  0.543332, Average Loss  0.549415, Time  0.460995
2021-09-07 05:18:05.245208 : Epoch  5, Batch    195, Loss  0.551490, Average Loss  0.549302, Time  0.460659
2021-09-07 05:18:07.109270 : Epoch  5, Batch    196, Loss  0.544268, Average Loss  0.549300, Time  0.460908
2021-09-07 05:18:08.981632 : Epoch  5, Batch    197, Loss  0.552551, Average Loss  0.549273, Time  0.461901
2021-09-07 05:18:10.855038 : Epoch  5, Batch    198, Loss  0.547484, Average Loss  0.549261, Time  0.460978
2021-09-07 05:18:12.723519 : Epoch  5, Batch    199, Loss  0.552054, Average Loss  0.549278, Time  0.460810
2021-09-07 05:18:14.596466 : Epoch  5, Batch    200, Loss  0.547732, Average Loss  0.549296, Time  0.461519
2021-09-07 05:18:16.475972 : Epoch  5, Batch    201, Loss  0.559809, Average Loss  0.549350, Time  0.461331
2021-09-07 05:18:18.345837 : Epoch  5, Batch    202, Loss  0.553989, Average Loss  0.549397, Time  0.461284
2021-09-07 05:18:20.214773 : Epoch  5, Batch    203, Loss  0.543660, Average Loss  0.549340, Time  0.461318
2021-09-07 05:18:22.082011 : Epoch  5, Batch    204, Loss  0.537781, Average Loss  0.549261, Time  0.461076
2021-09-07 05:18:23.943183 : Epoch  5, Batch    205, Loss  0.545432, Average Loss  0.549214, Time  0.461984
2021-09-07 05:18:25.808831 : Epoch  5, Batch    206, Loss  0.552934, Average Loss  0.549228, Time  0.461394
2021-09-07 05:18:27.681296 : Epoch  5, Batch    207, Loss  0.555413, Average Loss  0.549325, Time  0.461901
2021-09-07 05:18:29.561567 : Epoch  5, Batch    208, Loss  0.558189, Average Loss  0.549428, Time  0.461199
2021-09-07 05:18:31.431955 : Epoch  5, Batch    209, Loss  0.547132, Average Loss  0.549475, Time  0.461352
2021-09-07 05:18:33.302812 : Epoch  5, Batch    210, Loss  0.551932, Average Loss  0.549474, Time  0.461258
2021-09-07 05:18:35.164978 : Epoch  5, Batch    211, Loss  0.549462, Average Loss  0.549490, Time  0.461069
2021-09-07 05:18:37.066081 : Epoch  5, Batch    212, Loss  0.543653, Average Loss  0.549494, Time  0.460896
2021-09-07 05:18:38.942373 : Epoch  5, Batch    213, Loss  0.547612, Average Loss  0.549523, Time  0.460514
2021-09-07 05:18:40.806111 : Epoch  5, Batch    214, Loss  0.545422, Average Loss  0.549472, Time  0.460889
2021-09-07 05:18:42.669238 : Epoch  5, Batch    215, Loss  0.540571, Average Loss  0.549416, Time  0.460972
2021-09-07 05:18:44.561414 : Epoch  5, Batch    216, Loss  0.563521, Average Loss  0.549532, Time  0.460994
2021-09-07 05:18:46.444009 : Epoch  5, Batch    217, Loss  0.542865, Average Loss  0.549469, Time  0.461640
2021-09-07 05:18:48.322260 : Epoch  5, Batch    218, Loss  0.549418, Average Loss  0.549499, Time  0.461292
2021-09-07 05:18:50.206533 : Epoch  5, Batch    219, Loss  0.538275, Average Loss  0.549493, Time  0.464400
2021-09-07 05:18:52.097871 : Epoch  5, Batch    220, Loss  0.549937, Average Loss  0.549491, Time  0.462126
2021-09-07 05:18:53.984387 : Epoch  5, Batch    221, Loss  0.560811, Average Loss  0.549505, Time  0.462205
2021-09-07 05:18:55.869102 : Epoch  5, Batch    222, Loss  0.531953, Average Loss  0.549519, Time  0.461182
2021-09-07 05:18:59.851508 : Epoch  5, Batch    223, Loss  0.556249, Average Loss  0.549499, Time  0.470995
2021-09-07 05:19:01.716986 : Epoch  5, Batch    224, Loss  0.550281, Average Loss  0.549526, Time  0.460494
2021-09-07 05:19:03.599959 : Epoch  5, Batch    225, Loss  0.533095, Average Loss  0.549399, Time  0.460794
2021-09-07 05:19:05.468053 : Epoch  5, Batch    226, Loss  0.549994, Average Loss  0.549349, Time  0.461495
2021-09-07 05:19:07.350343 : Epoch  5, Batch    227, Loss  0.544919, Average Loss  0.549334, Time  0.460887
2021-09-07 05:19:09.244372 : Epoch  5, Batch    228, Loss  0.542078, Average Loss  0.549326, Time  0.461358
2021-09-07 05:19:11.115164 : Epoch  5, Batch    229, Loss  0.538359, Average Loss  0.549311, Time  0.460770
2021-09-07 05:19:12.981977 : Epoch  5, Batch    230, Loss  0.544412, Average Loss  0.549258, Time  0.460418
2021-09-07 05:19:14.851022 : Epoch  5, Batch    231, Loss  0.534792, Average Loss  0.549129, Time  0.462234
2021-09-07 05:19:16.732678 : Epoch  5, Batch    232, Loss  0.541593, Average Loss  0.549160, Time  0.461001
2021-09-07 05:19:18.605647 : Epoch  5, Batch    233, Loss  0.555361, Average Loss  0.549158, Time  0.461646
2021-09-07 05:19:20.476859 : Epoch  5, Batch    234, Loss  0.547673, Average Loss  0.549199, Time  0.462308
2021-09-07 05:19:22.348557 : Epoch  5, Batch    235, Loss  0.539362, Average Loss  0.549112, Time  0.460701
2021-09-07 05:19:24.212510 : Epoch  5, Batch    236, Loss  0.551262, Average Loss  0.549101, Time  0.461597
2021-09-07 05:19:26.098981 : Epoch  5, Batch    237, Loss  0.540266, Average Loss  0.549049, Time  0.461369
2021-09-07 05:19:27.965958 : Epoch  5, Batch    238, Loss  0.540829, Average Loss  0.548985, Time  0.460762
2021-09-07 05:19:29.842102 : Epoch  5, Batch    239, Loss  0.538243, Average Loss  0.548932, Time  0.462157
2021-09-07 05:19:31.729118 : Epoch  5, Batch    240, Loss  0.544309, Average Loss  0.548923, Time  0.461832
2021-09-07 05:19:33.608069 : Epoch  5, Batch    241, Loss  0.548480, Average Loss  0.548957, Time  0.461139
2021-09-07 05:19:35.471726 : Epoch  5, Batch    242, Loss  0.544104, Average Loss  0.548944, Time  0.460861
2021-09-07 05:19:37.361606 : Epoch  5, Batch    243, Loss  0.554151, Average Loss  0.548960, Time  0.462693
2021-09-07 05:19:39.228173 : Epoch  5, Batch    244, Loss  0.553219, Average Loss  0.548964, Time  0.461216
2021-09-07 05:19:41.097309 : Epoch  5, Batch    245, Loss  0.550317, Average Loss  0.548968, Time  0.461701
2021-09-07 05:19:42.985678 : Epoch  5, Batch    246, Loss  0.545008, Average Loss  0.548948, Time  0.461653
2021-09-07 05:19:44.849949 : Epoch  5, Batch    247, Loss  0.554680, Average Loss  0.549010, Time  0.461449
2021-09-07 05:19:46.723075 : Epoch  5, Batch    248, Loss  0.539294, Average Loss  0.549023, Time  0.460788
2021-09-07 05:19:48.622941 : Epoch  5, Batch    249, Loss  0.545061, Average Loss  0.548967, Time  0.462299
2021-09-07 05:19:50.504855 : Epoch  5, Batch    250, Loss  0.551999, Average Loss  0.549028, Time  0.462652
2021-09-07 05:19:52.383422 : Epoch  5, Batch    251, Loss  0.541840, Average Loss  0.549037, Time  0.461003
2021-09-07 05:19:54.244278 : Epoch  5, Batch    252, Loss  0.551122, Average Loss  0.549037, Time  0.460603
2021-09-07 05:20:58.273276 : CheckPoint: Validation Loss  0.00021669, Best Loss  0.00021669
2021-09-07 05:20:58.300976 : Best Model Updated
2021-09-07 05:21:03.626589 : Epoch  5, Batch    253, Loss  0.528538, Average Loss  0.548894, Time  0.472759
2021-09-07 05:21:05.520397 : Epoch  5, Batch    254, Loss  0.536375, Average Loss  0.548835, Time  0.461127
2021-09-07 05:21:07.410788 : Epoch  5, Batch    255, Loss  0.545466, Average Loss  0.548781, Time  0.461971
2021-09-07 05:21:09.298008 : Epoch  5, Batch    256, Loss  0.543958, Average Loss  0.548751, Time  0.461902
2021-09-07 05:21:11.168030 : Epoch  5, Batch    257, Loss  0.556692, Average Loss  0.548841, Time  0.460803
2021-09-07 05:21:13.049252 : Epoch  5, Batch    258, Loss  0.538013, Average Loss  0.548725, Time  0.462671
2021-09-07 05:21:14.943693 : Epoch  5, Batch    259, Loss  0.534189, Average Loss  0.548620, Time  0.460816
2021-09-07 05:21:16.829349 : Epoch  5, Batch    260, Loss  0.552034, Average Loss  0.548659, Time  0.462259
2021-09-07 05:21:18.720515 : Epoch  5, Batch    261, Loss  0.542937, Average Loss  0.548629, Time  0.461793
2021-09-07 05:21:20.593296 : Epoch  5, Batch    262, Loss  0.545922, Average Loss  0.548659, Time  0.461103
2021-09-07 05:21:22.473830 : Epoch  5, Batch    263, Loss  0.538630, Average Loss  0.548590, Time  0.461740
2021-09-07 05:21:24.364405 : Epoch  5, Batch    264, Loss  0.556992, Average Loss  0.548708, Time  0.462074
2021-09-07 05:21:26.244524 : Epoch  5, Batch    265, Loss  0.533218, Average Loss  0.548621, Time  0.461510
2021-09-07 05:21:28.137614 : Epoch  5, Batch    266, Loss  0.547036, Average Loss  0.548547, Time  0.462377
2021-09-07 05:21:30.008080 : Epoch  5, Batch    267, Loss  0.553168, Average Loss  0.548567, Time  0.460546
2021-09-07 05:21:31.890305 : Epoch  5, Batch    268, Loss  0.551287, Average Loss  0.548584, Time  0.462165
2021-09-07 05:21:33.770172 : Epoch  5, Batch    269, Loss  0.542227, Average Loss  0.548583, Time  0.460748
2021-09-07 05:21:35.655220 : Epoch  5, Batch    270, Loss  0.547262, Average Loss  0.548584, Time  0.461750
2021-09-07 05:21:37.539472 : Epoch  5, Batch    271, Loss  0.545894, Average Loss  0.548491, Time  0.460756
2021-09-07 05:21:39.426947 : Epoch  5, Batch    272, Loss  0.559312, Average Loss  0.548543, Time  0.461287
2021-09-07 05:21:41.310638 : Epoch  5, Batch    273, Loss  0.550983, Average Loss  0.548515, Time  0.460680
2021-09-07 05:21:43.193740 : Epoch  5, Batch    274, Loss  0.556832, Average Loss  0.548528, Time  0.461953
2021-09-07 05:21:45.063842 : Epoch  5, Batch    275, Loss  0.544925, Average Loss  0.548452, Time  0.460859
2021-09-07 05:21:46.950072 : Epoch  5, Batch    276, Loss  0.538252, Average Loss  0.548381, Time  0.463088
2021-09-07 05:21:48.842151 : Epoch  5, Batch    277, Loss  0.548503, Average Loss  0.548370, Time  0.461073
2021-09-07 05:21:50.720965 : Epoch  5, Batch    278, Loss  0.552856, Average Loss  0.548395, Time  0.461854
2021-09-07 05:21:52.614719 : Epoch  5, Batch    279, Loss  0.532066, Average Loss  0.548352, Time  0.461550
2021-09-07 05:21:54.501865 : Epoch  5, Batch    280, Loss  0.561317, Average Loss  0.548366, Time  0.461404
2021-09-07 05:21:56.376361 : Epoch  5, Batch    281, Loss  0.534728, Average Loss  0.548235, Time  0.460787
2021-09-07 05:21:58.258739 : Epoch  5, Batch    282, Loss  0.539745, Average Loss  0.548180, Time  0.463457
2021-09-07 05:22:00.148289 : Epoch  5, Batch    283, Loss  0.545114, Average Loss  0.548154, Time  0.461813
2021-09-07 05:22:02.034294 : Epoch  5, Batch    284, Loss  0.559254, Average Loss  0.548207, Time  0.461846
2021-09-07 05:22:03.928957 : Epoch  5, Batch    285, Loss  0.551920, Average Loss  0.548190, Time  0.461029
2021-09-07 05:22:05.802045 : Epoch  5, Batch    286, Loss  0.549305, Average Loss  0.548154, Time  0.461322
2021-09-07 05:22:07.697348 : Epoch  5, Batch    287, Loss  0.529259, Average Loss  0.548042, Time  0.461482
2021-09-07 05:22:09.571474 : Epoch  5, Batch    288, Loss  0.548695, Average Loss  0.548005, Time  0.460678
2021-09-07 05:22:11.449825 : Epoch  5, Batch    289, Loss  0.542497, Average Loss  0.548003, Time  0.460764
2021-09-07 05:22:13.325517 : Epoch  5, Batch    290, Loss  0.545311, Average Loss  0.547969, Time  0.461468
2021-09-07 05:22:15.194717 : Epoch  5, Batch    291, Loss  0.544237, Average Loss  0.547942, Time  0.461001
2021-09-07 05:22:17.089619 : Epoch  5, Batch    292, Loss  0.533540, Average Loss  0.547844, Time  0.463151
2021-09-07 05:22:18.992777 : Epoch  5, Batch    293, Loss  0.541197, Average Loss  0.547786, Time  0.461708
2021-09-07 05:22:20.871878 : Epoch  5, Batch    294, Loss  0.541403, Average Loss  0.547713, Time  0.461646
2021-09-07 05:22:22.770357 : Epoch  5, Batch    295, Loss  0.560026, Average Loss  0.547704, Time  0.462176
2021-09-07 05:22:24.645827 : Epoch  5, Batch    296, Loss  0.547519, Average Loss  0.547669, Time  0.461792
2021-09-07 05:22:26.542418 : Epoch  5, Batch    297, Loss  0.535111, Average Loss  0.547538, Time  0.460937
2021-09-07 05:22:28.427801 : Epoch  5, Batch    298, Loss  0.554463, Average Loss  0.547593, Time  0.461733
2021-09-07 05:22:30.301936 : Epoch  5, Batch    299, Loss  0.551728, Average Loss  0.547616, Time  0.461056
2021-09-07 05:22:32.182525 : Epoch  5, Batch    300, Loss  0.543168, Average Loss  0.547594, Time  0.462264
2021-09-07 05:22:34.075592 : Epoch  5, Batch    301, Loss  0.550564, Average Loss  0.547635, Time  0.462080
2021-09-07 05:22:35.965647 : Epoch  5, Batch    302, Loss  0.545545, Average Loss  0.547579, Time  0.462912
2021-09-07 05:22:37.848750 : Epoch  5, Batch    303, Loss  0.541000, Average Loss  0.547570, Time  0.462412
2021-09-07 05:22:39.729365 : Epoch  5, Batch    304, Loss  0.559272, Average Loss  0.547607, Time  0.461735
2021-09-07 05:22:41.604721 : Epoch  5, Batch    305, Loss  0.540590, Average Loss  0.547578, Time  0.460845
2021-09-07 05:22:43.493772 : Epoch  5, Batch    306, Loss  0.548769, Average Loss  0.547566, Time  0.462082
2021-09-07 05:22:45.378247 : Epoch  5, Batch    307, Loss  0.545179, Average Loss  0.547618, Time  0.460599
2021-09-07 05:22:47.259333 : Epoch  5, Batch    308, Loss  0.556416, Average Loss  0.547621, Time  0.462185
2021-09-07 05:22:49.157729 : Epoch  5, Batch    309, Loss  0.541819, Average Loss  0.547527, Time  0.460835
2021-09-07 05:22:51.039512 : Epoch  5, Batch    310, Loss  0.540899, Average Loss  0.547522, Time  0.461313
2021-09-07 05:22:52.916746 : Epoch  5, Batch    311, Loss  0.553580, Average Loss  0.547549, Time  0.461715
2021-09-07 05:22:54.796373 : Epoch  5, Batch    312, Loss  0.541003, Average Loss  0.547503, Time  0.461691
2021-09-07 05:22:56.678371 : Epoch  5, Batch    313, Loss  0.549074, Average Loss  0.547505, Time  0.460983
2021-09-07 05:22:58.581193 : Epoch  5, Batch    314, Loss  0.556707, Average Loss  0.547527, Time  0.461496
2021-09-07 05:23:00.464656 : Epoch  5, Batch    315, Loss  0.547547, Average Loss  0.547497, Time  0.462118
2021-09-07 05:23:02.370994 : Epoch  5, Batch    316, Loss  0.541619, Average Loss  0.547430, Time  0.461706
2021-09-07 05:23:04.251953 : Epoch  5, Batch    317, Loss  0.531463, Average Loss  0.547333, Time  0.460476
2021-09-07 05:23:06.130937 : Epoch  5, Batch    318, Loss  0.541313, Average Loss  0.547314, Time  0.461536
2021-09-07 05:23:08.009292 : Epoch  5, Batch    319, Loss  0.544972, Average Loss  0.547268, Time  0.460955
2021-09-07 05:23:09.895875 : Epoch  5, Batch    320, Loss  0.548684, Average Loss  0.547274, Time  0.460731
2021-09-07 05:23:11.770970 : Epoch  5, Batch    321, Loss  0.557672, Average Loss  0.547275, Time  0.460592
2021-09-07 05:23:13.649185 : Epoch  5, Batch    322, Loss  0.538869, Average Loss  0.547198, Time  0.461154
2021-09-07 05:23:17.603240 : Epoch  5, Batch    323, Loss  0.536315, Average Loss  0.547138, Time  0.476517
2021-09-07 05:23:19.471000 : Epoch  5, Batch    324, Loss  0.549793, Average Loss  0.547163, Time  0.462174
2021-09-07 05:23:21.359812 : Epoch  5, Batch    325, Loss  0.537161, Average Loss  0.547205, Time  0.463238
2021-09-07 05:23:23.254350 : Epoch  5, Batch    326, Loss  0.552433, Average Loss  0.547201, Time  0.460430
2021-09-07 05:23:25.131506 : Epoch  5, Batch    327, Loss  0.542588, Average Loss  0.547183, Time  0.462288
2021-09-07 05:23:27.029780 : Epoch  5, Batch    328, Loss  0.547031, Average Loss  0.547241, Time  0.461549
2021-09-07 05:23:28.907784 : Epoch  5, Batch    329, Loss  0.551216, Average Loss  0.547257, Time  0.461548
2021-09-07 05:23:30.786548 : Epoch  5, Batch    330, Loss  0.547586, Average Loss  0.547277, Time  0.460906
2021-09-07 05:23:32.675784 : Epoch  5, Batch    331, Loss  0.549485, Average Loss  0.547296, Time  0.462153
2021-09-07 05:23:34.559171 : Epoch  5, Batch    332, Loss  0.552850, Average Loss  0.547271, Time  0.461543
2021-09-07 05:23:36.446440 : Epoch  5, Batch    333, Loss  0.556941, Average Loss  0.547277, Time  0.461897
2021-09-07 05:23:38.336306 : Epoch  5, Batch    334, Loss  0.540255, Average Loss  0.547279, Time  0.460928
2021-09-07 05:23:40.211458 : Epoch  5, Batch    335, Loss  0.541068, Average Loss  0.547197, Time  0.461083
2021-09-07 05:23:42.090160 : Epoch  5, Batch    336, Loss  0.558508, Average Loss  0.547281, Time  0.461064
2021-09-07 05:23:43.956754 : Epoch  5, Batch    337, Loss  0.544434, Average Loss  0.547285, Time  0.461688
2021-09-07 05:23:45.833833 : Epoch  5, Batch    338, Loss  0.550952, Average Loss  0.547318, Time  0.461139
2021-09-07 05:23:47.702776 : Epoch  5, Batch    339, Loss  0.552271, Average Loss  0.547229, Time  0.461465
2021-09-07 05:23:49.587206 : Epoch  5, Batch    340, Loss  0.534269, Average Loss  0.547166, Time  0.462010
2021-09-07 05:23:51.480299 : Epoch  5, Batch    341, Loss  0.560256, Average Loss  0.547215, Time  0.461017
2021-09-07 05:23:53.348560 : Epoch  5, Batch    342, Loss  0.546102, Average Loss  0.547233, Time  0.461517
2021-09-07 05:23:55.235913 : Epoch  5, Batch    343, Loss  0.546809, Average Loss  0.547287, Time  0.462211
2021-09-07 05:23:57.109171 : Epoch  5, Batch    344, Loss  0.551755, Average Loss  0.547303, Time  0.461029
2021-09-07 05:23:58.979494 : Epoch  5, Batch    345, Loss  0.547328, Average Loss  0.547225, Time  0.461162
2021-09-07 05:23:59.176918 : Epoch  5, Batch    346, Loss  0.373948, Average Loss  0.546361, Time  0.157274
2021-09-07 05:24:01.070964 : Epoch  5, Batch    347, Loss  0.557910, Average Loss  0.546479, Time  0.461217
2021-09-07 05:24:02.940754 : Epoch  5, Batch    348, Loss  0.582122, Average Loss  0.546644, Time  0.460692
2021-09-07 05:24:04.829482 : Epoch  5, Batch    349, Loss  0.597160, Average Loss  0.546889, Time  0.466755
2021-09-07 05:24:06.697086 : Epoch  5, Batch    350, Loss  0.596963, Average Loss  0.547117, Time  0.461947
2021-09-07 05:24:08.584996 : Epoch  5, Batch    351, Loss  0.595766, Average Loss  0.547321, Time  0.462419
2021-09-07 05:24:10.459886 : Epoch  5, Batch    352, Loss  0.571750, Average Loss  0.547348, Time  0.461594
2021-09-07 05:25:14.378579 : CheckPoint: Validation Loss  0.00023505, Best Loss  0.00021669
2021-09-07 05:25:16.256989 : Epoch  5, Batch    353, Loss  0.577475, Average Loss  0.547454, Time  0.461568
2021-09-07 05:25:18.134166 : Epoch  5, Batch    354, Loss  0.565671, Average Loss  0.547525, Time  0.461484
2021-09-07 05:25:20.023787 : Epoch  5, Batch    355, Loss  0.587886, Average Loss  0.547728, Time  0.461816
2021-09-07 05:25:21.897750 : Epoch  5, Batch    356, Loss  0.563241, Average Loss  0.547824, Time  0.460904
2021-09-07 05:25:23.769688 : Epoch  5, Batch    357, Loss  0.576496, Average Loss  0.547956, Time  0.461082
2021-09-07 05:25:25.639268 : Epoch  5, Batch    358, Loss  0.563993, Average Loss  0.547965, Time  0.460701
2021-09-07 05:25:27.511375 : Epoch  5, Batch    359, Loss  0.564950, Average Loss  0.548062, Time  0.461276
2021-09-07 05:25:29.400997 : Epoch  5, Batch    360, Loss  0.570955, Average Loss  0.548212, Time  0.461743
2021-09-07 05:25:31.287196 : Epoch  5, Batch    361, Loss  0.567688, Average Loss  0.548284, Time  0.461960
2021-09-07 05:25:33.177077 : Epoch  5, Batch    362, Loss  0.566895, Average Loss  0.548415, Time  0.461553
2021-09-07 05:25:35.049936 : Epoch  5, Batch    363, Loss  0.555391, Average Loss  0.548496, Time  0.461210
2021-09-07 05:25:36.930416 : Epoch  5, Batch    364, Loss  0.563424, Average Loss  0.548547, Time  0.461962
2021-09-07 05:25:38.821646 : Epoch  5, Batch    365, Loss  0.563187, Average Loss  0.548606, Time  0.461637
2021-09-07 05:25:40.704787 : Epoch  5, Batch    366, Loss  0.564334, Average Loss  0.548649, Time  0.461126
2021-09-07 05:25:42.595900 : Epoch  5, Batch    367, Loss  0.567438, Average Loss  0.548760, Time  0.461300
2021-09-07 05:25:44.483318 : Epoch  5, Batch    368, Loss  0.555275, Average Loss  0.548797, Time  0.460801
2021-09-07 05:25:46.365557 : Epoch  5, Batch    369, Loss  0.570754, Average Loss  0.548856, Time  0.460751
2021-09-07 05:25:48.235100 : Epoch  5, Batch    370, Loss  0.554955, Average Loss  0.548807, Time  0.461758
2021-09-07 05:25:50.098463 : Epoch  5, Batch    371, Loss  0.558019, Average Loss  0.548771, Time  0.460676
2021-09-07 05:25:51.974151 : Epoch  5, Batch    372, Loss  0.556279, Average Loss  0.548767, Time  0.460963
2021-09-07 05:25:53.841202 : Epoch  5, Batch    373, Loss  0.562005, Average Loss  0.548947, Time  0.460670
2021-09-07 05:25:55.729616 : Epoch  5, Batch    374, Loss  0.560932, Average Loss  0.548934, Time  0.461155
2021-09-07 05:25:57.606245 : Epoch  5, Batch    375, Loss  0.559913, Average Loss  0.548993, Time  0.461447
2021-09-07 05:25:59.477321 : Epoch  5, Batch    376, Loss  0.548679, Average Loss  0.549011, Time  0.463265
2021-09-07 05:26:01.371998 : Epoch  5, Batch    377, Loss  0.544079, Average Loss  0.549012, Time  0.462393
2021-09-07 05:26:03.256838 : Epoch  5, Batch    378, Loss  0.547899, Average Loss  0.549044, Time  0.461368
2021-09-07 05:26:05.173579 : Epoch  5, Batch    379, Loss  0.551475, Average Loss  0.549031, Time  0.461136
2021-09-07 05:26:07.062135 : Epoch  5, Batch    380, Loss  0.538862, Average Loss  0.549009, Time  0.461514
2021-09-07 05:26:08.955065 : Epoch  5, Batch    381, Loss  0.542818, Average Loss  0.548981, Time  0.461885
2021-09-07 05:26:10.845006 : Epoch  5, Batch    382, Loss  0.552215, Average Loss  0.548985, Time  0.462226
2021-09-07 05:26:12.716338 : Epoch  5, Batch    383, Loss  0.568820, Average Loss  0.549058, Time  0.460770
2021-09-07 05:26:14.600634 : Epoch  5, Batch    384, Loss  0.542807, Average Loss  0.549034, Time  0.461122
2021-09-07 05:26:16.479280 : Epoch  5, Batch    385, Loss  0.556028, Average Loss  0.549104, Time  0.461910
2021-09-07 05:26:18.354594 : Epoch  5, Batch    386, Loss  0.551922, Average Loss  0.549082, Time  0.462136
2021-09-07 05:26:20.233848 : Epoch  5, Batch    387, Loss  0.545740, Average Loss  0.549057, Time  0.460743
2021-09-07 05:26:22.100862 : Epoch  5, Batch    388, Loss  0.551434, Average Loss  0.549093, Time  0.460821
2021-09-07 05:26:23.966493 : Epoch  5, Batch    389, Loss  0.554948, Average Loss  0.549167, Time  0.461186
2021-09-07 05:26:25.866367 : Epoch  5, Batch    390, Loss  0.549855, Average Loss  0.549164, Time  0.461012
2021-09-07 05:26:27.753894 : Epoch  5, Batch    391, Loss  0.557262, Average Loss  0.549247, Time  0.461290
2021-09-07 05:26:29.636999 : Epoch  5, Batch    392, Loss  0.546431, Average Loss  0.549252, Time  0.461172
2021-09-07 05:26:31.508332 : Epoch  5, Batch    393, Loss  0.554906, Average Loss  0.549315, Time  0.460918
2021-09-07 05:26:33.408304 : Epoch  5, Batch    394, Loss  0.545561, Average Loss  0.549326, Time  0.460065
2021-09-07 05:26:35.288140 : Epoch  5, Batch    395, Loss  0.556668, Average Loss  0.549352, Time  0.461503
2021-09-07 05:26:37.161119 : Epoch  5, Batch    396, Loss  0.555469, Average Loss  0.549408, Time  0.461942
2021-09-07 05:26:39.044320 : Epoch  5, Batch    397, Loss  0.546902, Average Loss  0.549380, Time  0.460617
2021-09-07 05:26:40.937158 : Epoch  5, Batch    398, Loss  0.555933, Average Loss  0.549422, Time  0.461121
2021-09-07 05:26:42.803976 : Epoch  5, Batch    399, Loss  0.540251, Average Loss  0.549363, Time  0.460854
2021-09-07 05:26:44.669442 : Epoch  5, Batch    400, Loss  0.544805, Average Loss  0.549349, Time  0.460821
2021-09-07 05:26:46.543869 : Epoch  5, Batch    401, Loss  0.542431, Average Loss  0.549262, Time  0.461039
2021-09-07 05:26:48.415932 : Epoch  5, Batch    402, Loss  0.543100, Average Loss  0.549207, Time  0.461578
2021-09-07 05:26:50.312484 : Epoch  5, Batch    403, Loss  0.552386, Average Loss  0.549251, Time  0.461723
2021-09-07 05:26:52.212453 : Epoch  5, Batch    404, Loss  0.539539, Average Loss  0.549260, Time  0.461558
2021-09-07 05:26:54.098956 : Epoch  5, Batch    405, Loss  0.556636, Average Loss  0.549316, Time  0.461842
2021-09-07 05:26:55.975280 : Epoch  5, Batch    406, Loss  0.547029, Average Loss  0.549286, Time  0.460664
2021-09-07 05:26:57.846383 : Epoch  5, Batch    407, Loss  0.553428, Average Loss  0.549276, Time  0.462803
2021-09-07 05:26:59.719250 : Epoch  5, Batch    408, Loss  0.549602, Average Loss  0.549233, Time  0.462063
2021-09-07 05:27:01.614984 : Epoch  5, Batch    409, Loss  0.548964, Average Loss  0.549243, Time  0.461837
2021-09-07 05:27:03.502532 : Epoch  5, Batch    410, Loss  0.539866, Average Loss  0.549182, Time  0.461213
2021-09-07 05:27:05.369994 : Epoch  5, Batch    411, Loss  0.541406, Average Loss  0.549142, Time  0.460911
2021-09-07 05:27:07.245027 : Epoch  5, Batch    412, Loss  0.545642, Average Loss  0.549152, Time  0.460804
2021-09-07 05:27:09.122257 : Epoch  5, Batch    413, Loss  0.537356, Average Loss  0.549101, Time  0.461681
2021-09-07 05:27:11.010829 : Epoch  5, Batch    414, Loss  0.554480, Average Loss  0.549146, Time  0.461175
2021-09-07 05:27:12.894508 : Epoch  5, Batch    415, Loss  0.542975, Average Loss  0.549158, Time  0.461771
2021-09-07 05:27:14.782933 : Epoch  5, Batch    416, Loss  0.556351, Average Loss  0.549122, Time  0.462922
2021-09-07 05:27:16.655563 : Epoch  5, Batch    417, Loss  0.547248, Average Loss  0.549144, Time  0.461783
2021-09-07 05:27:18.524201 : Epoch  5, Batch    418, Loss  0.555536, Average Loss  0.549175, Time  0.461385
2021-09-07 05:27:20.389983 : Epoch  5, Batch    419, Loss  0.550681, Average Loss  0.549237, Time  0.460711
2021-09-07 05:27:22.256351 : Epoch  5, Batch    420, Loss  0.531589, Average Loss  0.549145, Time  0.461092
2021-09-07 05:27:24.130885 : Epoch  5, Batch    421, Loss  0.546277, Average Loss  0.549072, Time  0.464215
2021-09-07 05:27:26.006774 : Epoch  5, Batch    422, Loss  0.551817, Average Loss  0.549171, Time  0.461260
2021-09-07 05:27:29.935443 : Epoch  5, Batch    423, Loss  0.546903, Average Loss  0.549125, Time  0.477273
2021-09-07 05:27:31.807467 : Epoch  5, Batch    424, Loss  0.546934, Average Loss  0.549108, Time  0.461951
2021-09-07 05:27:33.700547 : Epoch  5, Batch    425, Loss  0.540876, Average Loss  0.549147, Time  0.461436
2021-09-07 05:27:35.593562 : Epoch  5, Batch    426, Loss  0.551372, Average Loss  0.549154, Time  0.462260
2021-09-07 05:27:37.479789 : Epoch  5, Batch    427, Loss  0.554662, Average Loss  0.549203, Time  0.461062
2021-09-07 05:27:39.355242 : Epoch  5, Batch    428, Loss  0.544981, Average Loss  0.549217, Time  0.460989
2021-09-07 05:27:41.229480 : Epoch  5, Batch    429, Loss  0.553571, Average Loss  0.549293, Time  0.460605
2021-09-07 05:27:43.132433 : Epoch  5, Batch    430, Loss  0.544877, Average Loss  0.549295, Time  0.460938
2021-09-07 05:27:45.032220 : Epoch  5, Batch    431, Loss  0.553587, Average Loss  0.549389, Time  0.461957
2021-09-07 05:27:46.935999 : Epoch  5, Batch    432, Loss  0.530861, Average Loss  0.549336, Time  0.461233
2021-09-07 05:27:48.816550 : Epoch  5, Batch    433, Loss  0.548067, Average Loss  0.549299, Time  0.461871
2021-09-07 05:27:50.710565 : Epoch  5, Batch    434, Loss  0.540234, Average Loss  0.549262, Time  0.462776
2021-09-07 05:27:52.602231 : Epoch  5, Batch    435, Loss  0.548713, Average Loss  0.549309, Time  0.462099
2021-09-07 05:27:54.485446 : Epoch  5, Batch    436, Loss  0.543023, Average Loss  0.549268, Time  0.461611
2021-09-07 05:27:56.369798 : Epoch  5, Batch    437, Loss  0.550069, Average Loss  0.549317, Time  0.461896
2021-09-07 05:27:58.279825 : Epoch  5, Batch    438, Loss  0.553035, Average Loss  0.549378, Time  0.462598
2021-09-07 05:28:00.169127 : Epoch  5, Batch    439, Loss  0.542111, Average Loss  0.549397, Time  0.461697
2021-09-07 05:28:02.047390 : Epoch  5, Batch    440, Loss  0.537687, Average Loss  0.549364, Time  0.461139
2021-09-07 05:28:03.932913 : Epoch  5, Batch    441, Loss  0.535640, Average Loss  0.549300, Time  0.460248
2021-09-07 05:28:05.817967 : Epoch  5, Batch    442, Loss  0.540450, Average Loss  0.549281, Time  0.461689
2021-09-07 05:28:07.689071 : Epoch  5, Batch    443, Loss  0.563916, Average Loss  0.549330, Time  0.461406
2021-09-07 05:28:09.577404 : Epoch  5, Batch    444, Loss  0.543936, Average Loss  0.549284, Time  0.461724
2021-09-07 05:28:11.470626 : Epoch  5, Batch    445, Loss  0.548408, Average Loss  0.549274, Time  0.462077
2021-09-07 05:28:13.366953 : Epoch  5, Batch    446, Loss  0.542479, Average Loss  0.549262, Time  0.461625
2021-09-07 05:28:15.266574 : Epoch  5, Batch    447, Loss  0.555121, Average Loss  0.549264, Time  0.461352
2021-09-07 05:28:17.139931 : Epoch  5, Batch    448, Loss  0.555538, Average Loss  0.549345, Time  0.461764
2021-09-07 05:28:19.011171 : Epoch  5, Batch    449, Loss  0.564296, Average Loss  0.549441, Time  0.461348
2021-09-07 05:28:20.899860 : Epoch  5, Batch    450, Loss  0.556226, Average Loss  0.549462, Time  0.462361
2021-09-07 05:28:22.781671 : Epoch  5, Batch    451, Loss  0.548912, Average Loss  0.549498, Time  0.463523
2021-09-07 05:28:24.680374 : Epoch  5, Batch    452, Loss  0.566351, Average Loss  0.549574, Time  0.461216
2021-09-07 05:29:28.822763 : CheckPoint: Validation Loss  0.00021621, Best Loss  0.00021621
2021-09-07 05:29:28.853795 : Best Model Updated
2021-09-07 05:29:33.627473 : Epoch  5, Batch    453, Loss  0.545353, Average Loss  0.549658, Time  0.477196
2021-09-07 05:29:35.526110 : Epoch  5, Batch    454, Loss  0.543255, Average Loss  0.549692, Time  0.463445
2021-09-07 05:29:37.426611 : Epoch  5, Batch    455, Loss  0.548014, Average Loss  0.549705, Time  0.460755
2021-09-07 05:29:39.315045 : Epoch  5, Batch    456, Loss  0.550739, Average Loss  0.549739, Time  0.461140
2021-09-07 05:29:41.210778 : Epoch  5, Batch    457, Loss  0.557681, Average Loss  0.549744, Time  0.461960
2021-09-07 05:29:43.104143 : Epoch  5, Batch    458, Loss  0.556499, Average Loss  0.549836, Time  0.460862
2021-09-07 05:29:44.996463 : Epoch  5, Batch    459, Loss  0.538254, Average Loss  0.549857, Time  0.461431
2021-09-07 05:29:46.890815 : Epoch  5, Batch    460, Loss  0.553306, Average Loss  0.549863, Time  0.461802
2021-09-07 05:29:48.784318 : Epoch  5, Batch    461, Loss  0.548744, Average Loss  0.549892, Time  0.461512
2021-09-07 05:29:50.663267 : Epoch  5, Batch    462, Loss  0.549320, Average Loss  0.549909, Time  0.462291
2021-09-07 05:29:52.558051 : Epoch  5, Batch    463, Loss  0.553679, Average Loss  0.549984, Time  0.461518
2021-09-07 05:29:54.434385 : Epoch  5, Batch    464, Loss  0.543748, Average Loss  0.549918, Time  0.460755
2021-09-07 05:29:56.324011 : Epoch  5, Batch    465, Loss  0.543374, Average Loss  0.549969, Time  0.461326
2021-09-07 05:29:58.215267 : Epoch  5, Batch    466, Loss  0.548856, Average Loss  0.549978, Time  0.461116
2021-09-07 05:30:00.091716 : Epoch  5, Batch    467, Loss  0.544202, Average Loss  0.549933, Time  0.460662
2021-09-07 05:30:01.963490 : Epoch  5, Batch    468, Loss  0.553924, Average Loss  0.549946, Time  0.461577
2021-09-07 05:30:03.847967 : Epoch  5, Batch    469, Loss  0.542850, Average Loss  0.549949, Time  0.461869
2021-09-07 05:30:05.723269 : Epoch  5, Batch    470, Loss  0.556392, Average Loss  0.549995, Time  0.460834
2021-09-07 05:30:07.586787 : Epoch  5, Batch    471, Loss  0.552314, Average Loss  0.550027, Time  0.461045
2021-09-07 05:30:09.462839 : Epoch  5, Batch    472, Loss  0.542888, Average Loss  0.549945, Time  0.461534
2021-09-07 05:30:11.333699 : Epoch  5, Batch    473, Loss  0.543598, Average Loss  0.549908, Time  0.460558
2021-09-07 05:30:13.207569 : Epoch  5, Batch    474, Loss  0.545101, Average Loss  0.549850, Time  0.462115
2021-09-07 05:30:15.081529 : Epoch  5, Batch    475, Loss  0.551468, Average Loss  0.549882, Time  0.460663
2021-09-07 05:30:16.952491 : Epoch  5, Batch    476, Loss  0.551663, Average Loss  0.549949, Time  0.460556
2021-09-07 05:30:18.823226 : Epoch  5, Batch    477, Loss  0.539992, Average Loss  0.549907, Time  0.460782
2021-09-07 05:30:20.700008 : Epoch  5, Batch    478, Loss  0.551866, Average Loss  0.549902, Time  0.461314
2021-09-07 05:30:22.584580 : Epoch  5, Batch    479, Loss  0.544405, Average Loss  0.549963, Time  0.460690
2021-09-07 05:30:24.459507 : Epoch  5, Batch    480, Loss  0.549314, Average Loss  0.549903, Time  0.461409
2021-09-07 05:30:26.345005 : Epoch  5, Batch    481, Loss  0.543326, Average Loss  0.549946, Time  0.461309
2021-09-07 05:30:28.234036 : Epoch  5, Batch    482, Loss  0.550629, Average Loss  0.550001, Time  0.461813
2021-09-07 05:30:30.128144 : Epoch  5, Batch    483, Loss  0.551938, Average Loss  0.550035, Time  0.460962
2021-09-07 05:30:31.994268 : Epoch  5, Batch    484, Loss  0.551099, Average Loss  0.549994, Time  0.460542
2021-09-07 05:30:33.861782 : Epoch  5, Batch    485, Loss  0.546220, Average Loss  0.549966, Time  0.460930
2021-09-07 05:30:35.738761 : Epoch  5, Batch    486, Loss  0.546691, Average Loss  0.549953, Time  0.461098
2021-09-07 05:30:37.608130 : Epoch  5, Batch    487, Loss  0.550549, Average Loss  0.550059, Time  0.461802
2021-09-07 05:30:39.497424 : Epoch  5, Batch    488, Loss  0.549337, Average Loss  0.550062, Time  0.462079
2021-09-07 05:30:41.389770 : Epoch  5, Batch    489, Loss  0.543929, Average Loss  0.550069, Time  0.462219
2021-09-07 05:30:43.278741 : Epoch  5, Batch    490, Loss  0.552123, Average Loss  0.550104, Time  0.461413
2021-09-07 05:30:45.153506 : Epoch  5, Batch    491, Loss  0.543282, Average Loss  0.550099, Time  0.461418
2021-09-07 05:30:47.025143 : Epoch  5, Batch    492, Loss  0.538804, Average Loss  0.550125, Time  0.461626
2021-09-07 05:30:48.910558 : Epoch  5, Batch    493, Loss  0.547192, Average Loss  0.550155, Time  0.461904
2021-09-07 05:30:50.805049 : Epoch  5, Batch    494, Loss  0.562017, Average Loss  0.550258, Time  0.461905
2021-09-07 05:30:52.695141 : Epoch  5, Batch    495, Loss  0.543820, Average Loss  0.550177, Time  0.461897
2021-09-07 05:30:54.582687 : Epoch  5, Batch    496, Loss  0.547475, Average Loss  0.550177, Time  0.461735
2021-09-07 05:30:56.447061 : Epoch  5, Batch    497, Loss  0.557176, Average Loss  0.550287, Time  0.461139
2021-09-07 05:30:58.309973 : Epoch  5, Batch    498, Loss  0.540433, Average Loss  0.550217, Time  0.460865
2021-09-07 05:31:00.195494 : Epoch  5, Batch    499, Loss  0.538833, Average Loss  0.550153, Time  0.461371
2021-09-07 05:31:02.085973 : Epoch  5, Batch    500, Loss  0.543628, Average Loss  0.550155, Time  0.461620
2021-09-07 05:31:03.967465 : Epoch  5, Batch    501, Loss  0.550310, Average Loss  0.550154, Time  0.460518
2021-09-07 05:31:05.833884 : Epoch  5, Batch    502, Loss  0.547614, Average Loss  0.550164, Time  0.460767
2021-09-07 05:31:07.701273 : Epoch  5, Batch    503, Loss  0.545215, Average Loss  0.550185, Time  0.461087
2021-09-07 05:31:09.569267 : Epoch  5, Batch    504, Loss  0.542265, Average Loss  0.550100, Time  0.461241
2021-09-07 05:31:11.432311 : Epoch  5, Batch    505, Loss  0.538567, Average Loss  0.550090, Time  0.460804
2021-09-07 05:31:13.302148 : Epoch  5, Batch    506, Loss  0.558035, Average Loss  0.550136, Time  0.460897
2021-09-07 05:31:15.168059 : Epoch  5, Batch    507, Loss  0.558929, Average Loss  0.550205, Time  0.461548
2021-09-07 05:31:17.052839 : Epoch  5, Batch    508, Loss  0.553867, Average Loss  0.550192, Time  0.460685
2021-09-07 05:31:18.922062 : Epoch  5, Batch    509, Loss  0.558779, Average Loss  0.550277, Time  0.461393
2021-09-07 05:31:20.842151 : Epoch  5, Batch    510, Loss  0.546415, Average Loss  0.550305, Time  0.463842
2021-09-07 05:31:22.732666 : Epoch  5, Batch    511, Loss  0.533912, Average Loss  0.550206, Time  0.462633
2021-09-07 05:31:24.608156 : Epoch  5, Batch    512, Loss  0.548168, Average Loss  0.550242, Time  0.461278
2021-09-07 05:31:26.480243 : Epoch  5, Batch    513, Loss  0.549080, Average Loss  0.550242, Time  0.460935
2021-09-07 05:31:28.358293 : Epoch  5, Batch    514, Loss  0.540982, Average Loss  0.550163, Time  0.462820
2021-09-07 05:31:30.249766 : Epoch  5, Batch    515, Loss  0.546531, Average Loss  0.550158, Time  0.461581
2021-09-07 05:31:32.141568 : Epoch  5, Batch    516, Loss  0.547765, Average Loss  0.550189, Time  0.462121
2021-09-07 05:31:34.020472 : Epoch  5, Batch    517, Loss  0.525210, Average Loss  0.550158, Time  0.460898
2021-09-07 05:31:35.905704 : Epoch  5, Batch    518, Loss  0.562815, Average Loss  0.550265, Time  0.462523
2021-09-07 05:31:37.794891 : Epoch  5, Batch    519, Loss  0.541089, Average Loss  0.550246, Time  0.463123
2021-09-07 05:31:39.688834 : Epoch  5, Batch    520, Loss  0.536696, Average Loss  0.550186, Time  0.462603
2021-09-07 05:31:41.579621 : Epoch  5, Batch    521, Loss  0.533928, Average Loss  0.550067, Time  0.462139
2021-09-07 05:31:43.470594 : Epoch  5, Batch    522, Loss  0.551876, Average Loss  0.550132, Time  0.462586
2021-09-07 05:31:47.411514 : Epoch  5, Batch    523, Loss  0.554604, Average Loss  0.550224, Time  0.472590
2021-09-07 05:31:49.282756 : Epoch  5, Batch    524, Loss  0.555523, Average Loss  0.550252, Time  0.461795
2021-09-07 05:31:51.177257 : Epoch  5, Batch    525, Loss  0.547505, Average Loss  0.550304, Time  0.461993
2021-09-07 05:31:53.067012 : Epoch  5, Batch    526, Loss  0.556165, Average Loss  0.550323, Time  0.461486
2021-09-07 05:31:54.960097 : Epoch  5, Batch    527, Loss  0.536402, Average Loss  0.550292, Time  0.461619
2021-09-07 05:31:56.832694 : Epoch  5, Batch    528, Loss  0.541590, Average Loss  0.550265, Time  0.460933
2021-09-07 05:31:58.716497 : Epoch  5, Batch    529, Loss  0.551372, Average Loss  0.550265, Time  0.461777
2021-09-07 05:32:00.598857 : Epoch  5, Batch    530, Loss  0.540509, Average Loss  0.550230, Time  0.460505
2021-09-07 05:32:02.492000 : Epoch  5, Batch    531, Loss  0.549116, Average Loss  0.550228, Time  0.462711
2021-09-07 05:32:04.378956 : Epoch  5, Batch    532, Loss  0.541180, Average Loss  0.550170, Time  0.461154
2021-09-07 05:32:06.243666 : Epoch  5, Batch    533, Loss  0.551215, Average Loss  0.550141, Time  0.460794
2021-09-07 05:32:08.114816 : Epoch  5, Batch    534, Loss  0.543851, Average Loss  0.550159, Time  0.461210
2021-09-07 05:32:09.983359 : Epoch  5, Batch    535, Loss  0.549745, Average Loss  0.550203, Time  0.461266
2021-09-07 05:32:11.875168 : Epoch  5, Batch    536, Loss  0.547639, Average Loss  0.550148, Time  0.462137
2021-09-07 05:32:13.753876 : Epoch  5, Batch    537, Loss  0.546711, Average Loss  0.550160, Time  0.461649
2021-09-07 05:32:15.631783 : Epoch  5, Batch    538, Loss  0.561155, Average Loss  0.550211, Time  0.460891
2021-09-07 05:32:17.523909 : Epoch  5, Batch    539, Loss  0.551509, Average Loss  0.550207, Time  0.461732
2021-09-07 05:32:19.408943 : Epoch  5, Batch    540, Loss  0.546685, Average Loss  0.550269, Time  0.462524
2021-09-07 05:32:21.293829 : Epoch  5, Batch    541, Loss  0.542702, Average Loss  0.550181, Time  0.461113
2021-09-07 05:32:23.175352 : Epoch  5, Batch    542, Loss  0.551421, Average Loss  0.550208, Time  0.461533
2021-09-07 05:32:25.058105 : Epoch  5, Batch    543, Loss  0.552024, Average Loss  0.550234, Time  0.461957
2021-09-07 05:32:26.957313 : Epoch  5, Batch    544, Loss  0.540322, Average Loss  0.550177, Time  0.461837
2021-09-07 05:32:28.854775 : Epoch  5, Batch    545, Loss  0.544495, Average Loss  0.550162, Time  0.461139
2021-09-07 05:32:30.729145 : Epoch  5, Batch    546, Loss  0.552611, Average Loss  0.551056, Time  0.460819
2021-09-07 05:32:32.599566 : Epoch  5, Batch    547, Loss  0.539368, Average Loss  0.550963, Time  0.460567
2021-09-07 05:32:34.502337 : Epoch  5, Batch    548, Loss  0.551364, Average Loss  0.550809, Time  0.462412
2021-09-07 05:32:36.395574 : Epoch  5, Batch    549, Loss  0.530297, Average Loss  0.550475, Time  0.462790
2021-09-07 05:32:38.273751 : Epoch  5, Batch    550, Loss  0.534785, Average Loss  0.550164, Time  0.461234
2021-09-07 05:32:40.177665 : Epoch  5, Batch    551, Loss  0.541251, Average Loss  0.549892, Time  0.460786
2021-09-07 05:32:42.067727 : Epoch  5, Batch    552, Loss  0.532199, Average Loss  0.549694, Time  0.463446
2021-09-07 05:33:46.030871 : CheckPoint: Validation Loss  0.00023004, Best Loss  0.00021621
2021-09-07 05:33:47.918824 : Epoch  5, Batch    553, Loss  0.535865, Average Loss  0.549486, Time  0.460534
2021-09-07 05:33:49.803214 : Epoch  5, Batch    554, Loss  0.533125, Average Loss  0.549323, Time  0.460541
2021-09-07 05:33:51.683796 : Epoch  5, Batch    555, Loss  0.549406, Average Loss  0.549131, Time  0.460265
2021-09-07 05:33:53.551147 : Epoch  5, Batch    556, Loss  0.545543, Average Loss  0.549042, Time  0.461539
2021-09-07 05:33:55.443883 : Epoch  5, Batch    557, Loss  0.537738, Average Loss  0.548848, Time  0.461001
2021-09-07 05:33:57.317667 : Epoch  5, Batch    558, Loss  0.546385, Average Loss  0.548760, Time  0.460868
2021-09-07 05:33:59.190409 : Epoch  5, Batch    559, Loss  0.530496, Average Loss  0.548588, Time  0.460378
2021-09-07 05:34:01.085754 : Epoch  5, Batch    560, Loss  0.542355, Average Loss  0.548445, Time  0.461016
2021-09-07 05:34:02.963979 : Epoch  5, Batch    561, Loss  0.542721, Average Loss  0.548320, Time  0.461474
2021-09-07 05:34:04.849338 : Epoch  5, Batch    562, Loss  0.549054, Average Loss  0.548231, Time  0.461384
2021-09-07 05:34:06.723317 : Epoch  5, Batch    563, Loss  0.531764, Average Loss  0.548113, Time  0.460944
2021-09-07 05:34:08.610323 : Epoch  5, Batch    564, Loss  0.548890, Average Loss  0.548040, Time  0.460821
2021-09-07 05:34:10.484276 : Epoch  5, Batch    565, Loss  0.544483, Average Loss  0.547947, Time  0.461666
2021-09-07 05:34:12.349794 : Epoch  5, Batch    566, Loss  0.542933, Average Loss  0.547840, Time  0.460709
2021-09-07 05:34:14.230659 : Epoch  5, Batch    567, Loss  0.536845, Average Loss  0.547687, Time  0.460817
2021-09-07 05:34:16.122369 : Epoch  5, Batch    568, Loss  0.542618, Average Loss  0.547623, Time  0.461700
2021-09-07 05:34:18.007202 : Epoch  5, Batch    569, Loss  0.554179, Average Loss  0.547541, Time  0.461661
2021-09-07 05:34:19.884567 : Epoch  5, Batch    570, Loss  0.550348, Average Loss  0.547517, Time  0.460933
2021-09-07 05:34:21.767830 : Epoch  5, Batch    571, Loss  0.541307, Average Loss  0.547434, Time  0.461610
2021-09-07 05:34:23.649204 : Epoch  5, Batch    572, Loss  0.540115, Average Loss  0.547353, Time  0.460702
2021-09-07 05:34:25.519134 : Epoch  5, Batch    573, Loss  0.546819, Average Loss  0.547277, Time  0.460842
2021-09-07 05:34:27.385951 : Epoch  5, Batch    574, Loss  0.555238, Average Loss  0.547249, Time  0.461250
2021-09-07 05:34:29.253056 : Epoch  5, Batch    575, Loss  0.552447, Average Loss  0.547211, Time  0.460596
2021-09-07 05:34:31.119564 : Epoch  5, Batch    576, Loss  0.562380, Average Loss  0.547280, Time  0.461396
2021-09-07 05:34:33.002750 : Epoch  5, Batch    577, Loss  0.554651, Average Loss  0.547333, Time  0.461033
2021-09-07 05:34:34.888393 : Epoch  5, Batch    578, Loss  0.563742, Average Loss  0.547412, Time  0.460984
2021-09-07 05:34:36.755161 : Epoch  5, Batch    579, Loss  0.559583, Average Loss  0.547452, Time  0.460975
2021-09-07 05:34:38.626413 : Epoch  5, Batch    580, Loss  0.549951, Average Loss  0.547508, Time  0.461591
2021-09-07 05:34:40.519514 : Epoch  5, Batch    581, Loss  0.542250, Average Loss  0.547505, Time  0.461008
2021-09-07 05:34:42.386685 : Epoch  5, Batch    582, Loss  0.551063, Average Loss  0.547499, Time  0.461664
2021-09-07 05:34:44.290797 : Epoch  5, Batch    583, Loss  0.541094, Average Loss  0.547361, Time  0.461784
2021-09-07 05:34:46.202301 : Epoch  5, Batch    584, Loss  0.543114, Average Loss  0.547362, Time  0.462069
2021-09-07 05:34:48.096793 : Epoch  5, Batch    585, Loss  0.551373, Average Loss  0.547339, Time  0.460836
2021-09-07 05:34:49.976287 : Epoch  5, Batch    586, Loss  0.536574, Average Loss  0.547262, Time  0.461053
2021-09-07 05:34:51.851876 : Epoch  5, Batch    587, Loss  0.558776, Average Loss  0.547327, Time  0.462655
2021-09-07 05:34:53.731822 : Epoch  5, Batch    588, Loss  0.554765, Average Loss  0.547344, Time  0.460281
2021-09-07 05:34:55.600499 : Epoch  5, Batch    589, Loss  0.542667, Average Loss  0.547283, Time  0.461427
2021-09-07 05:34:57.493407 : Epoch  5, Batch    590, Loss  0.543232, Average Loss  0.547250, Time  0.461104
2021-09-07 05:34:59.377372 : Epoch  5, Batch    591, Loss  0.545308, Average Loss  0.547190, Time  0.461240
2021-09-07 05:35:01.259440 : Epoch  5, Batch    592, Loss  0.546437, Average Loss  0.547190, Time  0.461951
2021-09-07 05:35:03.146575 : Epoch  5, Batch    593, Loss  0.533736, Average Loss  0.547084, Time  0.462945
2021-09-07 05:35:05.022877 : Epoch  5, Batch    594, Loss  0.551336, Average Loss  0.547113, Time  0.461312
2021-09-07 05:35:06.901961 : Epoch  5, Batch    595, Loss  0.544961, Average Loss  0.547054, Time  0.461616
2021-09-07 05:35:08.789718 : Epoch  5, Batch    596, Loss  0.534627, Average Loss  0.546950, Time  0.461449
2021-09-07 05:35:10.689229 : Epoch  5, Batch    597, Loss  0.546118, Average Loss  0.546946, Time  0.460886
2021-09-07 05:35:12.574422 : Epoch  5, Batch    598, Loss  0.537152, Average Loss  0.546852, Time  0.462224
2021-09-07 05:35:14.465510 : Epoch  5, Batch    599, Loss  0.537332, Average Loss  0.546838, Time  0.461344
2021-09-07 05:35:16.342724 : Epoch  5, Batch    600, Loss  0.558097, Average Loss  0.546904, Time  0.461017
2021-09-07 05:35:18.219458 : Epoch  5, Batch    601, Loss  0.537075, Average Loss  0.546877, Time  0.460770
2021-09-07 05:35:20.109821 : Epoch  5, Batch    602, Loss  0.554693, Average Loss  0.546935, Time  0.463539
2021-09-07 05:35:22.014966 : Epoch  5, Batch    603, Loss  0.542578, Average Loss  0.546886, Time  0.461457
2021-09-07 05:35:23.888275 : Epoch  5, Batch    604, Loss  0.540235, Average Loss  0.546890, Time  0.460713
2021-09-07 05:35:25.776524 : Epoch  5, Batch    605, Loss  0.549085, Average Loss  0.546852, Time  0.461624
2021-09-07 05:35:27.662570 : Epoch  5, Batch    606, Loss  0.557329, Average Loss  0.546904, Time  0.460859
2021-09-07 05:35:29.536858 : Epoch  5, Batch    607, Loss  0.547259, Average Loss  0.546873, Time  0.461052
2021-09-07 05:35:31.408064 : Epoch  5, Batch    608, Loss  0.539914, Average Loss  0.546824, Time  0.461274
2021-09-07 05:35:33.290428 : Epoch  5, Batch    609, Loss  0.557753, Average Loss  0.546868, Time  0.461033
2021-09-07 05:35:35.179779 : Epoch  5, Batch    610, Loss  0.556367, Average Loss  0.546951, Time  0.461549
2021-09-07 05:35:37.064040 : Epoch  5, Batch    611, Loss  0.544978, Average Loss  0.546969, Time  0.461651
2021-09-07 05:35:38.937249 : Epoch  5, Batch    612, Loss  0.540536, Average Loss  0.546943, Time  0.461416
2021-09-07 05:35:40.824830 : Epoch  5, Batch    613, Loss  0.559197, Average Loss  0.547052, Time  0.461337
2021-09-07 05:35:42.695141 : Epoch  5, Batch    614, Loss  0.545208, Average Loss  0.547006, Time  0.461321
2021-09-07 05:35:44.592403 : Epoch  5, Batch    615, Loss  0.531594, Average Loss  0.546949, Time  0.461348
2021-09-07 05:35:46.482357 : Epoch  5, Batch    616, Loss  0.556913, Average Loss  0.546952, Time  0.460900
2021-09-07 05:35:48.357931 : Epoch  5, Batch    617, Loss  0.540781, Average Loss  0.546919, Time  0.460723
2021-09-07 05:35:50.232274 : Epoch  5, Batch    618, Loss  0.544854, Average Loss  0.546866, Time  0.461792
2021-09-07 05:35:52.111541 : Epoch  5, Batch    619, Loss  0.534350, Average Loss  0.546784, Time  0.460928
2021-09-07 05:35:54.003219 : Epoch  5, Batch    620, Loss  0.543982, Average Loss  0.546846, Time  0.461783
2021-09-07 05:35:55.902116 : Epoch  5, Batch    621, Loss  0.542596, Average Loss  0.546828, Time  0.461061
2021-09-07 05:35:57.773972 : Epoch  5, Batch    622, Loss  0.538128, Average Loss  0.546759, Time  0.460545
2021-09-07 05:36:01.745132 : Epoch  5, Batch    623, Loss  0.547219, Average Loss  0.546761, Time  0.472457
2021-09-07 05:36:03.637978 : Epoch  5, Batch    624, Loss  0.542960, Average Loss  0.546741, Time  0.461963
2021-09-07 05:36:05.525346 : Epoch  5, Batch    625, Loss  0.533298, Average Loss  0.546703, Time  0.461009
2021-09-07 05:36:07.411433 : Epoch  5, Batch    626, Loss  0.552096, Average Loss  0.546707, Time  0.462001
2021-09-07 05:36:09.295087 : Epoch  5, Batch    627, Loss  0.539163, Average Loss  0.546629, Time  0.461155
2021-09-07 05:36:11.158957 : Epoch  5, Batch    628, Loss  0.532193, Average Loss  0.546566, Time  0.460753
2021-09-07 05:36:13.055112 : Epoch  5, Batch    629, Loss  0.538377, Average Loss  0.546490, Time  0.461321
2021-09-07 05:36:14.928588 : Epoch  5, Batch    630, Loss  0.539008, Average Loss  0.546460, Time  0.460799
2021-09-07 05:36:16.810008 : Epoch  5, Batch    631, Loss  0.544424, Average Loss  0.546414, Time  0.462485
2021-09-07 05:36:18.682951 : Epoch  5, Batch    632, Loss  0.553601, Average Loss  0.546528, Time  0.461503
2021-09-07 05:36:20.562430 : Epoch  5, Batch    633, Loss  0.535437, Average Loss  0.546465, Time  0.462213
2021-09-07 05:36:22.449779 : Epoch  5, Batch    634, Loss  0.550236, Average Loss  0.546515, Time  0.460694
2021-09-07 05:36:24.313745 : Epoch  5, Batch    635, Loss  0.548186, Average Loss  0.546512, Time  0.460838
2021-09-07 05:36:26.196641 : Epoch  5, Batch    636, Loss  0.534603, Average Loss  0.546470, Time  0.461712
2021-09-07 05:36:28.073823 : Epoch  5, Batch    637, Loss  0.526335, Average Loss  0.546352, Time  0.460375
2021-09-07 05:36:29.960505 : Epoch  5, Batch    638, Loss  0.533637, Average Loss  0.546255, Time  0.462008
2021-09-07 05:36:31.848273 : Epoch  5, Batch    639, Loss  0.553731, Average Loss  0.546313, Time  0.462373
2021-09-07 05:36:33.713815 : Epoch  5, Batch    640, Loss  0.549253, Average Loss  0.546370, Time  0.461104
2021-09-07 05:36:35.584560 : Epoch  5, Batch    641, Loss  0.549428, Average Loss  0.546439, Time  0.460964
2021-09-07 05:36:37.454174 : Epoch  5, Batch    642, Loss  0.555664, Average Loss  0.546515, Time  0.461176
2021-09-07 05:36:39.319188 : Epoch  5, Batch    643, Loss  0.553635, Average Loss  0.546464, Time  0.460670
2021-09-07 05:36:41.197782 : Epoch  5, Batch    644, Loss  0.535241, Average Loss  0.546421, Time  0.463533
2021-09-07 05:36:43.074799 : Epoch  5, Batch    645, Loss  0.541938, Average Loss  0.546388, Time  0.460837
2021-09-07 05:36:44.945359 : Epoch  5, Batch    646, Loss  0.532169, Average Loss  0.546337, Time  0.461796
2021-09-07 05:36:46.837687 : Epoch  5, Batch    647, Loss  0.530973, Average Loss  0.546216, Time  0.462499
2021-09-07 05:36:48.718347 : Epoch  5, Batch    648, Loss  0.546073, Average Loss  0.546169, Time  0.461979
2021-09-07 05:36:50.586535 : Epoch  5, Batch    649, Loss  0.544992, Average Loss  0.546072, Time  0.461430
2021-09-07 05:36:52.476234 : Epoch  5, Batch    650, Loss  0.543474, Average Loss  0.546008, Time  0.461199
2021-09-07 05:36:54.356063 : Epoch  5, Batch    651, Loss  0.526819, Average Loss  0.545898, Time  0.460619
2021-09-07 05:36:56.233429 : Epoch  5, Batch    652, Loss  0.534601, Average Loss  0.545739, Time  0.461782
2021-09-07 05:38:00.479131 : CheckPoint: Validation Loss  0.00022587, Best Loss  0.00021621
2021-09-07 05:38:02.365647 : Epoch  5, Batch    653, Loss  0.544078, Average Loss  0.545733, Time  0.461940
2021-09-07 05:38:04.241677 : Epoch  5, Batch    654, Loss  0.550841, Average Loss  0.545771, Time  0.461288
2021-09-07 05:38:06.112323 : Epoch  5, Batch    655, Loss  0.550842, Average Loss  0.545785, Time  0.460299
2021-09-07 05:38:07.970377 : Epoch  5, Batch    656, Loss  0.545088, Average Loss  0.545757, Time  0.460693
2021-09-07 05:38:09.835159 : Epoch  5, Batch    657, Loss  0.534344, Average Loss  0.545640, Time  0.461021
2021-09-07 05:38:11.708768 : Epoch  5, Batch    658, Loss  0.530530, Average Loss  0.545510, Time  0.460819
2021-09-07 05:38:13.576890 : Epoch  5, Batch    659, Loss  0.541818, Average Loss  0.545528, Time  0.461194
2021-09-07 05:38:15.442568 : Epoch  5, Batch    660, Loss  0.542630, Average Loss  0.545474, Time  0.460769
2021-09-07 05:38:17.321609 : Epoch  5, Batch    661, Loss  0.550173, Average Loss  0.545482, Time  0.461537
2021-09-07 05:38:19.209042 : Epoch  5, Batch    662, Loss  0.543360, Average Loss  0.545452, Time  0.462597
2021-09-07 05:38:21.084581 : Epoch  5, Batch    663, Loss  0.555588, Average Loss  0.545461, Time  0.460516
2021-09-07 05:38:22.959508 : Epoch  5, Batch    664, Loss  0.557643, Average Loss  0.545531, Time  0.461701
2021-09-07 05:38:24.823007 : Epoch  5, Batch    665, Loss  0.535840, Average Loss  0.545493, Time  0.461381
2021-09-07 05:38:26.715036 : Epoch  5, Batch    666, Loss  0.558576, Average Loss  0.545542, Time  0.460947
2021-09-07 05:38:28.582575 : Epoch  5, Batch    667, Loss  0.564206, Average Loss  0.545642, Time  0.460567
2021-09-07 05:38:30.459869 : Epoch  5, Batch    668, Loss  0.557998, Average Loss  0.545662, Time  0.461864
2021-09-07 05:38:32.331694 : Epoch  5, Batch    669, Loss  0.548645, Average Loss  0.545691, Time  0.461596
2021-09-07 05:38:34.206540 : Epoch  5, Batch    670, Loss  0.544773, Average Loss  0.545633, Time  0.461539
2021-09-07 05:38:36.085995 : Epoch  5, Batch    671, Loss  0.545794, Average Loss  0.545600, Time  0.462414
2021-09-07 05:38:37.948327 : Epoch  5, Batch    672, Loss  0.548700, Average Loss  0.545630, Time  0.461242
2021-09-07 05:38:39.807811 : Epoch  5, Batch    673, Loss  0.544863, Average Loss  0.545636, Time  0.460461
2021-09-07 05:38:41.676765 : Epoch  5, Batch    674, Loss  0.565784, Average Loss  0.545739, Time  0.461703
2021-09-07 05:38:43.564450 : Epoch  5, Batch    675, Loss  0.535725, Average Loss  0.545661, Time  0.460637
2021-09-07 05:38:45.421223 : Epoch  5, Batch    676, Loss  0.536079, Average Loss  0.545583, Time  0.460808
2021-09-07 05:38:47.294827 : Epoch  5, Batch    677, Loss  0.549912, Average Loss  0.545632, Time  0.460919
2021-09-07 05:38:49.155540 : Epoch  5, Batch    678, Loss  0.528916, Average Loss  0.545517, Time  0.460329
2021-09-07 05:38:51.035803 : Epoch  5, Batch    679, Loss  0.539359, Average Loss  0.545492, Time  0.462684
2021-09-07 05:38:52.900535 : Epoch  5, Batch    680, Loss  0.537825, Average Loss  0.545435, Time  0.460790
2021-09-07 05:38:54.763143 : Epoch  5, Batch    681, Loss  0.566710, Average Loss  0.545552, Time  0.460831
2021-09-07 05:38:56.639400 : Epoch  5, Batch    682, Loss  0.535324, Average Loss  0.545475, Time  0.461440
2021-09-07 05:38:58.509409 : Epoch  5, Batch    683, Loss  0.543442, Average Loss  0.545433, Time  0.461126
2021-09-07 05:39:00.394960 : Epoch  5, Batch    684, Loss  0.554997, Average Loss  0.545452, Time  0.462946
2021-09-07 05:39:02.262240 : Epoch  5, Batch    685, Loss  0.536541, Average Loss  0.545404, Time  0.462196
2021-09-07 05:39:04.133560 : Epoch  5, Batch    686, Loss  0.552597, Average Loss  0.545433, Time  0.460821
2021-09-07 05:39:06.018826 : Epoch  5, Batch    687, Loss  0.527144, Average Loss  0.545316, Time  0.462065
2021-09-07 05:39:07.898873 : Epoch  5, Batch    688, Loss  0.546450, Average Loss  0.545302, Time  0.461130
2021-09-07 05:39:09.785964 : Epoch  5, Batch    689, Loss  0.540935, Average Loss  0.545287, Time  0.461711
2021-09-07 05:39:11.669305 : Epoch  5, Batch    690, Loss  0.538442, Average Loss  0.545219, Time  0.461744
2021-09-07 05:39:13.551266 : Epoch  5, Batch    691, Loss  0.555132, Average Loss  0.545278, Time  0.461764
2021-09-07 05:39:15.438303 : Epoch  5, Batch    692, Loss  0.558128, Average Loss  0.545374, Time  0.460703
2021-09-07 05:39:17.305009 : Epoch  5, Batch    693, Loss  0.546465, Average Loss  0.545371, Time  0.461288
2021-09-07 05:39:19.191556 : Epoch  5, Batch    694, Loss  0.542744, Average Loss  0.545274, Time  0.462626
2021-09-07 05:39:21.070362 : Epoch  5, Batch    695, Loss  0.550568, Average Loss  0.545308, Time  0.461603
2021-09-07 05:39:22.967573 : Epoch  5, Batch    696, Loss  0.553678, Average Loss  0.545339, Time  0.461354
2021-09-07 05:39:24.835453 : Epoch  5, Batch    697, Loss  0.535293, Average Loss  0.545230, Time  0.461736
2021-09-07 05:39:26.711062 : Epoch  5, Batch    698, Loss  0.527866, Average Loss  0.545167, Time  0.462424
2021-09-07 05:39:28.580983 : Epoch  5, Batch    699, Loss  0.533592, Average Loss  0.545141, Time  0.461346
2021-09-07 05:39:30.464180 : Epoch  5, Batch    700, Loss  0.539071, Average Loss  0.545118, Time  0.461882
2021-09-07 05:39:32.344160 : Epoch  5, Batch    701, Loss  0.546909, Average Loss  0.545101, Time  0.462333
2021-09-07 05:39:34.227847 : Epoch  5, Batch    702, Loss  0.540917, Average Loss  0.545067, Time  0.461551
2021-09-07 05:39:36.084921 : Epoch  5, Batch    703, Loss  0.546400, Average Loss  0.545073, Time  0.460899
2021-09-07 05:39:37.952431 : Epoch  5, Batch    704, Loss  0.533436, Average Loss  0.545029, Time  0.460736
2021-09-07 05:39:39.819823 : Epoch  5, Batch    705, Loss  0.556119, Average Loss  0.545117, Time  0.461804
2021-09-07 05:39:41.703078 : Epoch  5, Batch    706, Loss  0.547179, Average Loss  0.545063, Time  0.461576
2021-09-07 05:39:43.586255 : Epoch  5, Batch    707, Loss  0.542974, Average Loss  0.544983, Time  0.460686
2021-09-07 05:39:45.470667 : Epoch  5, Batch    708, Loss  0.543597, Average Loss  0.544932, Time  0.461885
2021-09-07 05:39:47.336528 : Epoch  5, Batch    709, Loss  0.556217, Average Loss  0.544919, Time  0.460865
2021-09-07 05:39:49.199872 : Epoch  5, Batch    710, Loss  0.552868, Average Loss  0.544951, Time  0.460560
2021-09-07 05:39:51.062515 : Epoch  5, Batch    711, Loss  0.537561, Average Loss  0.544969, Time  0.461317
2021-09-07 05:39:52.937369 : Epoch  5, Batch    712, Loss  0.544645, Average Loss  0.544952, Time  0.462569
2021-09-07 05:39:54.818263 : Epoch  5, Batch    713, Loss  0.537448, Average Loss  0.544893, Time  0.461854
2021-09-07 05:39:56.677642 : Epoch  5, Batch    714, Loss  0.547160, Average Loss  0.544924, Time  0.462198
2021-09-07 05:39:58.550367 : Epoch  5, Batch    715, Loss  0.552501, Average Loss  0.544954, Time  0.461516
2021-09-07 05:40:00.428875 : Epoch  5, Batch    716, Loss  0.541776, Average Loss  0.544924, Time  0.461875
2021-09-07 05:40:02.299405 : Epoch  5, Batch    717, Loss  0.542900, Average Loss  0.545013, Time  0.460390
2021-09-07 05:40:04.180415 : Epoch  5, Batch    718, Loss  0.550373, Average Loss  0.544951, Time  0.460952
2021-09-07 05:40:06.060022 : Epoch  5, Batch    719, Loss  0.545465, Average Loss  0.544972, Time  0.460835
2021-09-07 05:40:07.924906 : Epoch  5, Batch    720, Loss  0.538399, Average Loss  0.544981, Time  0.461172
2021-09-07 05:40:09.798298 : Epoch  5, Batch    721, Loss  0.550319, Average Loss  0.545063, Time  0.461562
2021-09-07 05:40:11.672766 : Epoch  5, Batch    722, Loss  0.539018, Average Loss  0.544999, Time  0.460936
2021-09-07 05:40:15.632487 : Epoch  5, Batch    723, Loss  0.542933, Average Loss  0.544940, Time  0.469425
2021-09-07 05:40:17.500986 : Epoch  5, Batch    724, Loss  0.545752, Average Loss  0.544891, Time  0.461310
2021-09-07 05:40:19.357465 : Epoch  5, Batch    725, Loss  0.544322, Average Loss  0.544875, Time  0.461720
2021-09-07 05:40:21.221664 : Epoch  5, Batch    726, Loss  0.540123, Average Loss  0.544795, Time  0.461136
2021-09-07 05:40:23.080250 : Epoch  5, Batch    727, Loss  0.548917, Average Loss  0.544858, Time  0.460500
2021-09-07 05:40:24.932916 : Epoch  5, Batch    728, Loss  0.540877, Average Loss  0.544854, Time  0.460690
2021-09-07 05:40:26.787083 : Epoch  5, Batch    729, Loss  0.547095, Average Loss  0.544833, Time  0.460947
2021-09-07 05:40:28.646576 : Epoch  5, Batch    730, Loss  0.536507, Average Loss  0.544813, Time  0.461504
2021-09-07 05:40:30.505562 : Epoch  5, Batch    731, Loss  0.537394, Average Loss  0.544754, Time  0.462163
2021-09-07 05:40:32.360096 : Epoch  5, Batch    732, Loss  0.553313, Average Loss  0.544815, Time  0.461550
2021-09-07 05:40:34.229816 : Epoch  5, Batch    733, Loss  0.558288, Average Loss  0.544850, Time  0.461506
2021-09-07 05:40:36.093204 : Epoch  5, Batch    734, Loss  0.533789, Average Loss  0.544800, Time  0.461879
2021-09-07 05:40:37.966474 : Epoch  5, Batch    735, Loss  0.539253, Average Loss  0.544747, Time  0.461957
2021-09-07 05:40:39.840272 : Epoch  5, Batch    736, Loss  0.540196, Average Loss  0.544710, Time  0.461433
2021-09-07 05:40:41.732943 : Epoch  5, Batch    737, Loss  0.545605, Average Loss  0.544705, Time  0.460996
2021-09-07 05:40:43.602110 : Epoch  5, Batch    738, Loss  0.540170, Average Loss  0.544600, Time  0.463194
2021-09-07 05:40:45.477236 : Epoch  5, Batch    739, Loss  0.538877, Average Loss  0.544537, Time  0.461662
2021-09-07 05:40:47.362100 : Epoch  5, Batch    740, Loss  0.549693, Average Loss  0.544552, Time  0.461964
2021-09-07 05:40:49.227760 : Epoch  5, Batch    741, Loss  0.544889, Average Loss  0.544563, Time  0.461333
2021-09-07 05:40:51.093096 : Epoch  5, Batch    742, Loss  0.535101, Average Loss  0.544481, Time  0.461079
2021-09-07 05:40:52.967986 : Epoch  5, Batch    743, Loss  0.531580, Average Loss  0.544379, Time  0.461354
2021-09-07 05:40:54.858030 : Epoch  5, Batch    744, Loss  0.528509, Average Loss  0.544320, Time  0.461210
2021-09-07 05:40:56.726537 : Epoch  5, Batch    745, Loss  0.542690, Average Loss  0.544311, Time  0.461144
2021-09-07 05:40:58.592410 : Epoch  5, Batch    746, Loss  0.554701, Average Loss  0.544321, Time  0.462177
2021-09-07 05:41:00.462338 : Epoch  5, Batch    747, Loss  0.533932, Average Loss  0.544294, Time  0.461560
2021-09-07 05:41:02.347570 : Epoch  5, Batch    748, Loss  0.537531, Average Loss  0.544225, Time  0.461486
2021-09-07 05:41:04.232298 : Epoch  5, Batch    749, Loss  0.545943, Average Loss  0.544303, Time  0.461168
2021-09-07 05:41:06.096844 : Epoch  5, Batch    750, Loss  0.561520, Average Loss  0.544437, Time  0.461558
2021-09-07 05:41:07.963969 : Epoch  5, Batch    751, Loss  0.533811, Average Loss  0.544400, Time  0.461544
2021-09-07 05:41:09.837463 : Epoch  5, Batch    752, Loss  0.546761, Average Loss  0.544472, Time  0.461158
2021-09-07 05:42:13.940713 : CheckPoint: Validation Loss  0.00022566, Best Loss  0.00021621
2021-09-07 05:42:15.844406 : Epoch  5, Batch    753, Loss  0.541203, Average Loss  0.544499, Time  0.461946
2021-09-07 05:42:17.721678 : Epoch  5, Batch    754, Loss  0.547972, Average Loss  0.544573, Time  0.460730
2021-09-07 05:42:19.597064 : Epoch  5, Batch    755, Loss  0.555918, Average Loss  0.544606, Time  0.461578
2021-09-07 05:42:21.467336 : Epoch  5, Batch    756, Loss  0.547070, Average Loss  0.544613, Time  0.461119
2021-09-07 05:42:23.328462 : Epoch  5, Batch    757, Loss  0.543998, Average Loss  0.544645, Time  0.461882
2021-09-07 05:42:25.211545 : Epoch  5, Batch    758, Loss  0.535606, Average Loss  0.544591, Time  0.460426
2021-09-07 05:42:27.074274 : Epoch  5, Batch    759, Loss  0.557211, Average Loss  0.544724, Time  0.460805
2021-09-07 05:42:28.935119 : Epoch  5, Batch    760, Loss  0.538136, Average Loss  0.544703, Time  0.460323
2021-09-07 05:42:30.792679 : Epoch  5, Batch    761, Loss  0.547311, Average Loss  0.544726, Time  0.461640
2021-09-07 05:42:32.666109 : Epoch  5, Batch    762, Loss  0.538545, Average Loss  0.544674, Time  0.462237
2021-09-07 05:42:34.537434 : Epoch  5, Batch    763, Loss  0.546217, Average Loss  0.544746, Time  0.463329
2021-09-07 05:42:36.429410 : Epoch  5, Batch    764, Loss  0.531857, Average Loss  0.544661, Time  0.461801
2021-09-07 05:42:38.306949 : Epoch  5, Batch    765, Loss  0.523192, Average Loss  0.544554, Time  0.461830
2021-09-07 05:42:40.185352 : Epoch  5, Batch    766, Loss  0.539077, Average Loss  0.544535, Time  0.461448
2021-09-07 05:42:42.049026 : Epoch  5, Batch    767, Loss  0.554101, Average Loss  0.544621, Time  0.461145
2021-09-07 05:42:43.929548 : Epoch  5, Batch    768, Loss  0.541506, Average Loss  0.544616, Time  0.460962
2021-09-07 05:42:45.788289 : Epoch  5, Batch    769, Loss  0.533878, Average Loss  0.544514, Time  0.461233
2021-09-07 05:42:47.688670 : Epoch  5, Batch    770, Loss  0.539410, Average Loss  0.544460, Time  0.461675
2021-09-07 05:42:49.573440 : Epoch  5, Batch    771, Loss  0.538818, Average Loss  0.544447, Time  0.461311
2021-09-07 05:42:51.472240 : Epoch  5, Batch    772, Loss  0.534132, Average Loss  0.544417, Time  0.462188
2021-09-07 05:42:53.357309 : Epoch  5, Batch    773, Loss  0.542983, Average Loss  0.544398, Time  0.461665
2021-09-07 05:42:55.220769 : Epoch  5, Batch    774, Loss  0.556125, Average Loss  0.544403, Time  0.461484
2021-09-07 05:42:57.090980 : Epoch  5, Batch    775, Loss  0.542796, Average Loss  0.544354, Time  0.461566
2021-09-07 05:42:58.953697 : Epoch  5, Batch    776, Loss  0.545188, Average Loss  0.544268, Time  0.461440
2021-09-07 05:43:00.828060 : Epoch  5, Batch    777, Loss  0.543692, Average Loss  0.544214, Time  0.462714
2021-09-07 05:43:02.682313 : Epoch  5, Batch    778, Loss  0.543789, Average Loss  0.544114, Time  0.461132
2021-09-07 05:43:04.550236 : Epoch  5, Batch    779, Loss  0.549971, Average Loss  0.544066, Time  0.461533
2021-09-07 05:43:06.434494 : Epoch  5, Batch    780, Loss  0.551977, Average Loss  0.544076, Time  0.462138
2021-09-07 05:43:08.313036 : Epoch  5, Batch    781, Loss  0.546698, Average Loss  0.544098, Time  0.461751
2021-09-07 05:43:10.188944 : Epoch  5, Batch    782, Loss  0.539311, Average Loss  0.544039, Time  0.461786
2021-09-07 05:43:12.070018 : Epoch  5, Batch    783, Loss  0.536451, Average Loss  0.544016, Time  0.461212
2021-09-07 05:43:13.942014 : Epoch  5, Batch    784, Loss  0.544389, Average Loss  0.544022, Time  0.460190
2021-09-07 05:43:15.804757 : Epoch  5, Batch    785, Loss  0.541204, Average Loss  0.543972, Time  0.461987
2021-09-07 05:43:17.678963 : Epoch  5, Batch    786, Loss  0.540766, Average Loss  0.543993, Time  0.461342
2021-09-07 05:43:19.562057 : Epoch  5, Batch    787, Loss  0.567491, Average Loss  0.544036, Time  0.461901
2021-09-07 05:43:19.587298 : Saving Model after 5-th Epoch.
2021-09-07 05:43:23.547793 : Epoch Finished.
2021-09-07 05:43:25.599441 : Batch Shuffled
2021-09-07 05:43:27.475032 : Epoch  6, Batch      1, Loss  0.549939, Average Loss  0.544012, Time  0.471377
2021-09-07 05:43:29.358195 : Epoch  6, Batch      2, Loss  0.538624, Average Loss  0.543992, Time  0.460578
2021-09-07 05:43:31.229578 : Epoch  6, Batch      3, Loss  0.547292, Average Loss  0.544012, Time  0.460609
2021-09-07 05:43:33.100190 : Epoch  6, Batch      4, Loss  0.543336, Average Loss  0.544002, Time  0.464309
2021-09-07 05:43:34.960542 : Epoch  6, Batch      5, Loss  0.539959, Average Loss  0.543970, Time  0.460813
2021-09-07 05:43:36.858815 : Epoch  6, Batch      6, Loss  0.545319, Average Loss  0.544028, Time  0.462193
2021-09-07 05:43:38.744148 : Epoch  6, Batch      7, Loss  0.544556, Average Loss  0.543994, Time  0.461804
2021-09-07 05:43:40.622354 : Epoch  6, Batch      8, Loss  0.554291, Average Loss  0.544041, Time  0.461338
2021-09-07 05:43:42.494852 : Epoch  6, Batch      9, Loss  0.528993, Average Loss  0.544012, Time  0.462104
2021-09-07 05:43:44.381939 : Epoch  6, Batch     10, Loss  0.548824, Average Loss  0.544026, Time  0.461913
2021-09-07 05:43:46.281036 : Epoch  6, Batch     11, Loss  0.534240, Average Loss  0.544011, Time  0.461214
2021-09-07 05:43:48.145070 : Epoch  6, Batch     12, Loss  0.545711, Average Loss  0.544053, Time  0.461018
2021-09-07 05:43:50.023651 : Epoch  6, Batch     13, Loss  0.544910, Average Loss  0.543987, Time  0.461463
2021-09-07 05:43:51.913433 : Epoch  6, Batch     14, Loss  0.532173, Average Loss  0.543963, Time  0.462645
2021-09-07 05:43:53.776346 : Epoch  6, Batch     15, Loss  0.539527, Average Loss  0.543887, Time  0.460693
2021-09-07 05:43:55.648933 : Epoch  6, Batch     16, Loss  0.540872, Average Loss  0.543878, Time  0.461061
2021-09-07 05:43:57.537146 : Epoch  6, Batch     17, Loss  0.539418, Average Loss  0.543874, Time  0.460607
2021-09-07 05:43:59.406062 : Epoch  6, Batch     18, Loss  0.560353, Average Loss  0.543931, Time  0.460871
2021-09-07 05:44:01.280978 : Epoch  6, Batch     19, Loss  0.570909, Average Loss  0.543999, Time  0.460865
2021-09-07 05:44:03.159629 : Epoch  6, Batch     20, Loss  0.538588, Average Loss  0.543955, Time  0.463174
2021-09-07 05:44:05.039434 : Epoch  6, Batch     21, Loss  0.538675, Average Loss  0.543949, Time  0.460690
2021-09-07 05:44:06.922360 : Epoch  6, Batch     22, Loss  0.564738, Average Loss  0.543984, Time  0.461124
2021-09-07 05:44:08.796102 : Epoch  6, Batch     23, Loss  0.548799, Average Loss  0.543946, Time  0.462283
2021-09-07 05:44:10.687067 : Epoch  6, Batch     24, Loss  0.544446, Average Loss  0.543943, Time  0.462713
2021-09-07 05:44:12.576002 : Epoch  6, Batch     25, Loss  0.542832, Average Loss  0.543955, Time  0.461645
2021-09-07 05:44:14.467455 : Epoch  6, Batch     26, Loss  0.533181, Average Loss  0.543825, Time  0.461057
2021-09-07 05:44:16.354444 : Epoch  6, Batch     27, Loss  0.550364, Average Loss  0.543851, Time  0.461703
2021-09-07 05:44:18.224634 : Epoch  6, Batch     28, Loss  0.533608, Average Loss  0.543861, Time  0.460742
2021-09-07 05:44:20.103226 : Epoch  6, Batch     29, Loss  0.551828, Average Loss  0.543835, Time  0.461839
2021-09-07 05:44:21.980817 : Epoch  6, Batch     30, Loss  0.535851, Average Loss  0.543811, Time  0.460710
2021-09-07 05:44:23.847263 : Epoch  6, Batch     31, Loss  0.549446, Average Loss  0.543834, Time  0.461105
2021-09-07 05:44:25.713437 : Epoch  6, Batch     32, Loss  0.550317, Average Loss  0.543913, Time  0.460907
2021-09-07 05:44:27.581802 : Epoch  6, Batch     33, Loss  0.554615, Average Loss  0.543967, Time  0.461267
2021-09-07 05:44:29.455829 : Epoch  6, Batch     34, Loss  0.537566, Average Loss  0.543941, Time  0.460392
2021-09-07 05:44:31.325290 : Epoch  6, Batch     35, Loss  0.544128, Average Loss  0.543971, Time  0.460716
2021-09-07 05:44:33.199660 : Epoch  6, Batch     36, Loss  0.536942, Average Loss  0.543920, Time  0.461085
2021-09-07 05:44:35.094684 : Epoch  6, Batch     37, Loss  0.537673, Average Loss  0.543894, Time  0.461960
2021-09-07 05:44:36.990194 : Epoch  6, Batch     38, Loss  0.545036, Average Loss  0.543952, Time  0.462327
2021-09-07 05:44:38.864215 : Epoch  6, Batch     39, Loss  0.546831, Average Loss  0.543926, Time  0.462058
2021-09-07 05:44:40.757481 : Epoch  6, Batch     40, Loss  0.538559, Average Loss  0.543923, Time  0.462546
2021-09-07 05:44:42.646039 : Epoch  6, Batch     41, Loss  0.552460, Average Loss  0.544024, Time  0.460799
2021-09-07 05:44:44.541272 : Epoch  6, Batch     42, Loss  0.549459, Average Loss  0.544080, Time  0.462370
2021-09-07 05:44:46.435364 : Epoch  6, Batch     43, Loss  0.557481, Average Loss  0.544172, Time  0.460925
2021-09-07 05:44:48.318754 : Epoch  6, Batch     44, Loss  0.540663, Average Loss  0.544153, Time  0.461963
2021-09-07 05:44:50.209476 : Epoch  6, Batch     45, Loss  0.540695, Average Loss  0.544089, Time  0.461317
2021-09-07 05:44:52.085715 : Epoch  6, Batch     46, Loss  0.533145, Average Loss  0.544077, Time  0.461413
2021-09-07 05:44:53.974267 : Epoch  6, Batch     47, Loss  0.525200, Average Loss  0.543952, Time  0.460798
2021-09-07 05:44:55.847439 : Epoch  6, Batch     48, Loss  0.534688, Average Loss  0.543885, Time  0.462147
2021-09-07 05:44:57.745645 : Epoch  6, Batch     49, Loss  0.553451, Average Loss  0.543979, Time  0.461291
2021-09-07 05:44:59.624973 : Epoch  6, Batch     50, Loss  0.543732, Average Loss  0.544066, Time  0.461407
2021-09-07 05:45:01.511226 : Epoch  6, Batch     51, Loss  0.546167, Average Loss  0.544128, Time  0.461949
2021-09-07 05:45:03.407572 : Epoch  6, Batch     52, Loss  0.541554, Average Loss  0.544068, Time  0.461812
2021-09-07 05:45:05.312292 : Epoch  6, Batch     53, Loss  0.539669, Average Loss  0.544020, Time  0.461461
2021-09-07 05:45:07.188015 : Epoch  6, Batch     54, Loss  0.551257, Average Loss  0.544029, Time  0.461687
2021-09-07 05:45:09.061686 : Epoch  6, Batch     55, Loss  0.544474, Average Loss  0.543973, Time  0.460521
2021-09-07 05:45:10.958963 : Epoch  6, Batch     56, Loss  0.545349, Average Loss  0.543931, Time  0.461743
2021-09-07 05:45:12.843378 : Epoch  6, Batch     57, Loss  0.538079, Average Loss  0.543946, Time  0.462356
2021-09-07 05:45:14.732985 : Epoch  6, Batch     58, Loss  0.544574, Average Loss  0.543959, Time  0.461287
2021-09-07 05:45:16.616719 : Epoch  6, Batch     59, Loss  0.537884, Average Loss  0.543987, Time  0.460985
2021-09-07 05:45:18.487202 : Epoch  6, Batch     60, Loss  0.549353, Average Loss  0.544079, Time  0.460796
2021-09-07 05:45:20.362344 : Epoch  6, Batch     61, Loss  0.547983, Average Loss  0.544089, Time  0.461286
2021-09-07 05:45:22.264267 : Epoch  6, Batch     62, Loss  0.543007, Average Loss  0.544079, Time  0.461171
2021-09-07 05:45:24.137939 : Epoch  6, Batch     63, Loss  0.539338, Average Loss  0.544058, Time  0.462107
2021-09-07 05:45:26.027793 : Epoch  6, Batch     64, Loss  0.536984, Average Loss  0.544109, Time  0.461640
2021-09-07 05:45:29.943022 : Epoch  6, Batch     65, Loss  0.544600, Average Loss  0.544159, Time  0.474767
2021-09-07 05:46:33.831628 : CheckPoint: Validation Loss  0.00022519, Best Loss  0.00021621
2021-09-07 05:46:35.721111 : Epoch  6, Batch     66, Loss  0.523513, Average Loss  0.544056, Time  0.461639
2021-09-07 05:46:37.594471 : Epoch  6, Batch     67, Loss  0.539848, Average Loss  0.544001, Time  0.461368
2021-09-07 05:46:39.486436 : Epoch  6, Batch     68, Loss  0.544648, Average Loss  0.543970, Time  0.461588
2021-09-07 05:46:41.370834 : Epoch  6, Batch     69, Loss  0.545119, Average Loss  0.543970, Time  0.461348
2021-09-07 05:46:43.235876 : Epoch  6, Batch     70, Loss  0.555300, Average Loss  0.544075, Time  0.461778
2021-09-07 05:46:45.106739 : Epoch  6, Batch     71, Loss  0.550333, Average Loss  0.544174, Time  0.461148
2021-09-07 05:46:46.974622 : Epoch  6, Batch     72, Loss  0.538739, Average Loss  0.544159, Time  0.461217
2021-09-07 05:46:48.872921 : Epoch  6, Batch     73, Loss  0.553829, Average Loss  0.544215, Time  0.461087
2021-09-07 05:46:50.749278 : Epoch  6, Batch     74, Loss  0.552066, Average Loss  0.544224, Time  0.462217
2021-09-07 05:46:52.644931 : Epoch  6, Batch     75, Loss  0.537394, Average Loss  0.544194, Time  0.461798
2021-09-07 05:46:54.525917 : Epoch  6, Batch     76, Loss  0.537158, Average Loss  0.544102, Time  0.462021
2021-09-07 05:46:56.406031 : Epoch  6, Batch     77, Loss  0.544689, Average Loss  0.544038, Time  0.460612
2021-09-07 05:46:58.274942 : Epoch  6, Batch     78, Loss  0.544222, Average Loss  0.544079, Time  0.461832
2021-09-07 05:47:00.161233 : Epoch  6, Batch     79, Loss  0.541567, Average Loss  0.543994, Time  0.461623
2021-09-07 05:47:02.053201 : Epoch  6, Batch     80, Loss  0.538320, Average Loss  0.543865, Time  0.461538
2021-09-07 05:47:03.934081 : Epoch  6, Batch     81, Loss  0.553142, Average Loss  0.543841, Time  0.461206
2021-09-07 05:47:05.809823 : Epoch  6, Batch     82, Loss  0.554837, Average Loss  0.543872, Time  0.461226
2021-09-07 05:47:07.673074 : Epoch  6, Batch     83, Loss  0.540620, Average Loss  0.543851, Time  0.461769
2021-09-07 05:47:09.548242 : Epoch  6, Batch     84, Loss  0.545447, Average Loss  0.543849, Time  0.460627
2021-09-07 05:47:11.416113 : Epoch  6, Batch     85, Loss  0.545238, Average Loss  0.543832, Time  0.461777
2021-09-07 05:47:13.289410 : Epoch  6, Batch     86, Loss  0.555419, Average Loss  0.543885, Time  0.461590
2021-09-07 05:47:15.172735 : Epoch  6, Batch     87, Loss  0.549739, Average Loss  0.543804, Time  0.461048
2021-09-07 05:47:17.039432 : Epoch  6, Batch     88, Loss  0.529437, Average Loss  0.543773, Time  0.461252
2021-09-07 05:47:18.913103 : Epoch  6, Batch     89, Loss  0.554263, Average Loss  0.543864, Time  0.462358
2021-09-07 05:47:20.788676 : Epoch  6, Batch     90, Loss  0.543381, Average Loss  0.543831, Time  0.460848
2021-09-07 05:47:22.664798 : Epoch  6, Batch     91, Loss  0.554772, Average Loss  0.543960, Time  0.461976
2021-09-07 05:47:24.552486 : Epoch  6, Batch     92, Loss  0.541393, Average Loss  0.543971, Time  0.461179
2021-09-07 05:47:26.415188 : Epoch  6, Batch     93, Loss  0.517028, Average Loss  0.543867, Time  0.461751
2021-09-07 05:47:28.298138 : Epoch  6, Batch     94, Loss  0.546024, Average Loss  0.543763, Time  0.461289
2021-09-07 05:47:30.162869 : Epoch  6, Batch     95, Loss  0.539864, Average Loss  0.543786, Time  0.462028
2021-09-07 05:47:32.036020 : Epoch  6, Batch     96, Loss  0.547151, Average Loss  0.543804, Time  0.460467
2021-09-07 05:47:33.945175 : Epoch  6, Batch     97, Loss  0.537148, Average Loss  0.543715, Time  0.461318
2021-09-07 05:47:35.805492 : Epoch  6, Batch     98, Loss  0.550695, Average Loss  0.543786, Time  0.461074
2021-09-07 05:47:37.673984 : Epoch  6, Batch     99, Loss  0.550378, Average Loss  0.543775, Time  0.460961
2021-09-07 05:47:39.537470 : Epoch  6, Batch    100, Loss  0.556588, Average Loss  0.543922, Time  0.461132
2021-09-07 05:47:41.417903 : Epoch  6, Batch    101, Loss  0.535478, Average Loss  0.543867, Time  0.461056
2021-09-07 05:47:43.311219 : Epoch  6, Batch    102, Loss  0.542993, Average Loss  0.543878, Time  0.461848
2021-09-07 05:47:45.204109 : Epoch  6, Batch    103, Loss  0.528944, Average Loss  0.543830, Time  0.461260
2021-09-07 05:47:47.099026 : Epoch  6, Batch    104, Loss  0.537908, Average Loss  0.543744, Time  0.460778
2021-09-07 05:47:48.972746 : Epoch  6, Batch    105, Loss  0.550055, Average Loss  0.543704, Time  0.461701
2021-09-07 05:47:50.849806 : Epoch  6, Batch    106, Loss  0.552885, Average Loss  0.543736, Time  0.461972
2021-09-07 05:47:52.743627 : Epoch  6, Batch    107, Loss  0.538431, Average Loss  0.543714, Time  0.461588
2021-09-07 05:47:54.609960 : Epoch  6, Batch    108, Loss  0.539195, Average Loss  0.543657, Time  0.462495
2021-09-07 05:47:56.493749 : Epoch  6, Batch    109, Loss  0.550697, Average Loss  0.543642, Time  0.463072
2021-09-07 05:47:58.365794 : Epoch  6, Batch    110, Loss  0.554547, Average Loss  0.543739, Time  0.460561
2021-09-07 05:48:00.229682 : Epoch  6, Batch    111, Loss  0.554516, Average Loss  0.543872, Time  0.461984
2021-09-07 05:48:02.103689 : Epoch  6, Batch    112, Loss  0.542195, Average Loss  0.543915, Time  0.460446
2021-09-07 05:48:03.968388 : Epoch  6, Batch    113, Loss  0.543484, Average Loss  0.543937, Time  0.461852
2021-09-07 05:48:05.849405 : Epoch  6, Batch    114, Loss  0.552488, Average Loss  0.543965, Time  0.461121
2021-09-07 05:48:07.710667 : Epoch  6, Batch    115, Loss  0.523382, Average Loss  0.543877, Time  0.461540
2021-09-07 05:48:09.597389 : Epoch  6, Batch    116, Loss  0.550429, Average Loss  0.543897, Time  0.460846
2021-09-07 05:48:11.458979 : Epoch  6, Batch    117, Loss  0.547824, Average Loss  0.543969, Time  0.460641
2021-09-07 05:48:13.326928 : Epoch  6, Batch    118, Loss  0.540200, Average Loss  0.543890, Time  0.461579
2021-09-07 05:48:15.210550 : Epoch  6, Batch    119, Loss  0.555015, Average Loss  0.543929, Time  0.461665
2021-09-07 05:48:17.074466 : Epoch  6, Batch    120, Loss  0.541524, Average Loss  0.543922, Time  0.461518
2021-09-07 05:48:18.958788 : Epoch  6, Batch    121, Loss  0.545336, Average Loss  0.543930, Time  0.461068
2021-09-07 05:48:20.828042 : Epoch  6, Batch    122, Loss  0.542276, Average Loss  0.543861, Time  0.461226
2021-09-07 05:48:22.697148 : Epoch  6, Batch    123, Loss  0.538188, Average Loss  0.543787, Time  0.461246
2021-09-07 05:48:24.571664 : Epoch  6, Batch    124, Loss  0.545810, Average Loss  0.543828, Time  0.460842
2021-09-07 05:48:26.439478 : Epoch  6, Batch    125, Loss  0.537082, Average Loss  0.543791, Time  0.463118
2021-09-07 05:48:28.303388 : Epoch  6, Batch    126, Loss  0.535753, Average Loss  0.543782, Time  0.461076
2021-09-07 05:48:30.166245 : Epoch  6, Batch    127, Loss  0.551505, Average Loss  0.543804, Time  0.460803
2021-09-07 05:48:32.040993 : Epoch  6, Batch    128, Loss  0.545660, Average Loss  0.543770, Time  0.461548
2021-09-07 05:48:33.912579 : Epoch  6, Batch    129, Loss  0.550137, Average Loss  0.543811, Time  0.461406
2021-09-07 05:48:35.798268 : Epoch  6, Batch    130, Loss  0.532437, Average Loss  0.543759, Time  0.461088
2021-09-07 05:48:37.663835 : Epoch  6, Batch    131, Loss  0.543615, Average Loss  0.543725, Time  0.460919
2021-09-07 05:48:39.534178 : Epoch  6, Batch    132, Loss  0.539314, Average Loss  0.543695, Time  0.461040
2021-09-07 05:48:41.404303 : Epoch  6, Batch    133, Loss  0.544906, Average Loss  0.543727, Time  0.461231
2021-09-07 05:48:43.270417 : Epoch  6, Batch    134, Loss  0.554287, Average Loss  0.543747, Time  0.462164
2021-09-07 05:48:45.154379 : Epoch  6, Batch    135, Loss  0.535182, Average Loss  0.543728, Time  0.460933
2021-09-07 05:48:49.133876 : Epoch  6, Batch    136, Loss  0.533878, Average Loss  0.543683, Time  0.475898
2021-09-07 05:48:51.014567 : Epoch  6, Batch    137, Loss  0.555402, Average Loss  0.543731, Time  0.464948
2021-09-07 05:48:52.905107 : Epoch  6, Batch    138, Loss  0.535043, Average Loss  0.543684, Time  0.461793
2021-09-07 05:48:54.790343 : Epoch  6, Batch    139, Loss  0.555745, Average Loss  0.543762, Time  0.461188
2021-09-07 05:48:56.651292 : Epoch  6, Batch    140, Loss  0.539731, Average Loss  0.543717, Time  0.460373
2021-09-07 05:48:58.531055 : Epoch  6, Batch    141, Loss  0.542884, Average Loss  0.543727, Time  0.460504
2021-09-07 05:49:00.387030 : Epoch  6, Batch    142, Loss  0.536900, Average Loss  0.543676, Time  0.460703
2021-09-07 05:49:02.267197 : Epoch  6, Batch    143, Loss  0.532897, Average Loss  0.543658, Time  0.462265
2021-09-07 05:49:04.143660 : Epoch  6, Batch    144, Loss  0.542664, Average Loss  0.543684, Time  0.460849
2021-09-07 05:49:06.015442 : Epoch  6, Batch    145, Loss  0.547911, Average Loss  0.543657, Time  0.460969
2021-09-07 05:49:07.886443 : Epoch  6, Batch    146, Loss  0.544713, Average Loss  0.543589, Time  0.461677
2021-09-07 05:49:09.752368 : Epoch  6, Batch    147, Loss  0.547341, Average Loss  0.543657, Time  0.461710
2021-09-07 05:49:11.624527 : Epoch  6, Batch    148, Loss  0.543937, Average Loss  0.543680, Time  0.460554
2021-09-07 05:49:13.484996 : Epoch  6, Batch    149, Loss  0.543734, Average Loss  0.543698, Time  0.461418
2021-09-07 05:49:15.353556 : Epoch  6, Batch    150, Loss  0.528332, Average Loss  0.543612, Time  0.461096
2021-09-07 05:49:17.210450 : Epoch  6, Batch    151, Loss  0.541808, Average Loss  0.543620, Time  0.460997
2021-09-07 05:49:19.074068 : Epoch  6, Batch    152, Loss  0.535974, Average Loss  0.543605, Time  0.460585
2021-09-07 05:49:20.948041 : Epoch  6, Batch    153, Loss  0.543339, Average Loss  0.543573, Time  0.461890
2021-09-07 05:49:22.828407 : Epoch  6, Batch    154, Loss  0.535191, Average Loss  0.543525, Time  0.461710
2021-09-07 05:49:24.698662 : Epoch  6, Batch    155, Loss  0.538873, Average Loss  0.543544, Time  0.460792
2021-09-07 05:49:26.556673 : Epoch  6, Batch    156, Loss  0.551856, Average Loss  0.543645, Time  0.460684
2021-09-07 05:49:28.419922 : Epoch  6, Batch    157, Loss  0.550091, Average Loss  0.543753, Time  0.460635
2021-09-07 05:49:30.289004 : Epoch  6, Batch    158, Loss  0.546036, Average Loss  0.543770, Time  0.461082
2021-09-07 05:49:32.163102 : Epoch  6, Batch    159, Loss  0.530816, Average Loss  0.543650, Time  0.461539
2021-09-07 05:49:34.047096 : Epoch  6, Batch    160, Loss  0.531845, Average Loss  0.543640, Time  0.460955
2021-09-07 05:49:35.927259 : Epoch  6, Batch    161, Loss  0.548706, Average Loss  0.543696, Time  0.462152
2021-09-07 05:49:37.796237 : Epoch  6, Batch    162, Loss  0.542289, Average Loss  0.543678, Time  0.461454
2021-09-07 05:49:39.661349 : Epoch  6, Batch    163, Loss  0.551092, Average Loss  0.543625, Time  0.460696
2021-09-07 05:49:41.523261 : Epoch  6, Batch    164, Loss  0.549174, Average Loss  0.543702, Time  0.460646
2021-09-07 05:49:43.403234 : Epoch  6, Batch    165, Loss  0.548743, Average Loss  0.543712, Time  0.462577
2021-09-07 05:50:47.384383 : CheckPoint: Validation Loss  0.00023040, Best Loss  0.00021621
2021-09-07 05:50:49.292187 : Epoch  6, Batch    166, Loss  0.553265, Average Loss  0.543772, Time  0.462595
2021-09-07 05:50:51.179999 : Epoch  6, Batch    167, Loss  0.532589, Average Loss  0.543696, Time  0.461662
2021-09-07 05:50:53.058545 : Epoch  6, Batch    168, Loss  0.545249, Average Loss  0.543642, Time  0.460762
2021-09-07 05:50:54.940438 : Epoch  6, Batch    169, Loss  0.547975, Average Loss  0.543647, Time  0.460666
2021-09-07 05:50:56.804759 : Epoch  6, Batch    170, Loss  0.550744, Average Loss  0.543680, Time  0.460609
2021-09-07 05:50:58.672371 : Epoch  6, Batch    171, Loss  0.546027, Average Loss  0.543733, Time  0.460848
2021-09-07 05:51:00.558985 : Epoch  6, Batch    172, Loss  0.549343, Average Loss  0.543693, Time  0.461717
2021-09-07 05:51:02.442713 : Epoch  6, Batch    173, Loss  0.548945, Average Loss  0.543747, Time  0.462136
2021-09-07 05:51:04.319335 : Epoch  6, Batch    174, Loss  0.532499, Average Loss  0.543673, Time  0.461468
2021-09-07 05:51:06.205172 : Epoch  6, Batch    175, Loss  0.525455, Average Loss  0.543608, Time  0.461401
2021-09-07 05:51:08.066683 : Epoch  6, Batch    176, Loss  0.540497, Average Loss  0.543579, Time  0.461916
2021-09-07 05:51:09.947519 : Epoch  6, Batch    177, Loss  0.535696, Average Loss  0.543598, Time  0.461817
2021-09-07 05:51:11.839649 : Epoch  6, Batch    178, Loss  0.553899, Average Loss  0.543752, Time  0.461438
2021-09-07 05:51:13.701233 : Epoch  6, Batch    179, Loss  0.533323, Average Loss  0.543723, Time  0.461678
2021-09-07 05:51:15.593231 : Epoch  6, Batch    180, Loss  0.543004, Average Loss  0.543668, Time  0.461607
2021-09-07 05:51:17.493512 : Epoch  6, Batch    181, Loss  0.533891, Average Loss  0.543630, Time  0.461635
2021-09-07 05:51:19.366229 : Epoch  6, Batch    182, Loss  0.541772, Average Loss  0.543669, Time  0.461274
2021-09-07 05:51:21.233613 : Epoch  6, Batch    183, Loss  0.540460, Average Loss  0.543674, Time  0.461659
2021-09-07 05:51:23.112641 : Epoch  6, Batch    184, Loss  0.545016, Average Loss  0.543705, Time  0.462117
2021-09-07 05:51:24.982590 : Epoch  6, Batch    185, Loss  0.532922, Average Loss  0.543699, Time  0.461071
2021-09-07 05:51:26.854027 : Epoch  6, Batch    186, Loss  0.538221, Average Loss  0.543675, Time  0.461971
2021-09-07 05:51:28.729884 : Epoch  6, Batch    187, Loss  0.542746, Average Loss  0.543609, Time  0.460760
2021-09-07 05:51:30.595969 : Epoch  6, Batch    188, Loss  0.549932, Average Loss  0.543644, Time  0.460825
2021-09-07 05:51:32.460861 : Epoch  6, Batch    189, Loss  0.533198, Average Loss  0.543584, Time  0.461702
2021-09-07 05:51:34.328229 : Epoch  6, Batch    190, Loss  0.551835, Average Loss  0.543625, Time  0.460775
2021-09-07 05:51:36.197988 : Epoch  6, Batch    191, Loss  0.541087, Average Loss  0.543611, Time  0.460918
2021-09-07 05:51:38.063292 : Epoch  6, Batch    192, Loss  0.534645, Average Loss  0.543535, Time  0.461205
2021-09-07 05:51:39.929478 : Epoch  6, Batch    193, Loss  0.543299, Average Loss  0.543491, Time  0.462128
2021-09-07 05:51:41.813357 : Epoch  6, Batch    194, Loss  0.546812, Average Loss  0.543492, Time  0.462371
2021-09-07 05:51:43.683746 : Epoch  6, Batch    195, Loss  0.544405, Average Loss  0.543517, Time  0.461507
2021-09-07 05:51:45.564117 : Epoch  6, Batch    196, Loss  0.565789, Average Loss  0.543664, Time  0.461419
2021-09-07 05:51:47.447923 : Epoch  6, Batch    197, Loss  0.550132, Average Loss  0.543693, Time  0.461984
2021-09-07 05:51:49.328986 : Epoch  6, Batch    198, Loss  0.545381, Average Loss  0.543714, Time  0.461250
2021-09-07 05:51:51.205092 : Epoch  6, Batch    199, Loss  0.543824, Average Loss  0.543729, Time  0.460768
2021-09-07 05:51:53.079799 : Epoch  6, Batch    200, Loss  0.537513, Average Loss  0.543579, Time  0.460668
2021-09-07 05:51:54.942574 : Epoch  6, Batch    201, Loss  0.541391, Average Loss  0.543536, Time  0.460836
2021-09-07 05:51:56.803988 : Epoch  6, Batch    202, Loss  0.540462, Average Loss  0.543546, Time  0.461178
2021-09-07 05:51:58.666504 : Epoch  6, Batch    203, Loss  0.530339, Average Loss  0.543461, Time  0.460706
2021-09-07 05:52:00.532536 : Epoch  6, Batch    204, Loss  0.545155, Average Loss  0.543470, Time  0.461317
2021-09-07 05:52:02.412768 : Epoch  6, Batch    205, Loss  0.536376, Average Loss  0.543452, Time  0.461402
2021-09-07 05:52:04.305689 : Epoch  6, Batch    206, Loss  0.544200, Average Loss  0.543446, Time  0.461409
2021-09-07 05:52:06.182045 : Epoch  6, Batch    207, Loss  0.531868, Average Loss  0.543383, Time  0.462755
2021-09-07 05:52:08.053066 : Epoch  6, Batch    208, Loss  0.539400, Average Loss  0.543309, Time  0.460686
2021-09-07 05:52:09.915557 : Epoch  6, Batch    209, Loss  0.553991, Average Loss  0.543434, Time  0.460993
2021-09-07 05:52:11.783327 : Epoch  6, Batch    210, Loss  0.551753, Average Loss  0.543448, Time  0.460936
2021-09-07 05:52:13.661710 : Epoch  6, Batch    211, Loss  0.544335, Average Loss  0.543499, Time  0.461175
2021-09-07 05:52:15.540104 : Epoch  6, Batch    212, Loss  0.544404, Average Loss  0.543492, Time  0.461461
2021-09-07 05:52:17.404514 : Epoch  6, Batch    213, Loss  0.541327, Average Loss  0.543474, Time  0.460572
2021-09-07 05:52:19.283129 : Epoch  6, Batch    214, Loss  0.539556, Average Loss  0.543511, Time  0.462303
2021-09-07 05:52:21.167344 : Epoch  6, Batch    215, Loss  0.548098, Average Loss  0.543554, Time  0.460924
2021-09-07 05:52:23.035382 : Epoch  6, Batch    216, Loss  0.552388, Average Loss  0.543612, Time  0.461007
2021-09-07 05:52:24.911347 : Epoch  6, Batch    217, Loss  0.538316, Average Loss  0.543606, Time  0.462049
2021-09-07 05:52:26.804673 : Epoch  6, Batch    218, Loss  0.537118, Average Loss  0.543490, Time  0.462330
2021-09-07 05:52:28.672246 : Epoch  6, Batch    219, Loss  0.540929, Average Loss  0.543340, Time  0.461344
2021-09-07 05:52:30.553401 : Epoch  6, Batch    220, Loss  0.554267, Average Loss  0.543418, Time  0.460805
2021-09-07 05:52:32.419822 : Epoch  6, Batch    221, Loss  0.543645, Average Loss  0.543443, Time  0.461333
2021-09-07 05:52:34.290977 : Epoch  6, Batch    222, Loss  0.554936, Average Loss  0.543394, Time  0.460915
2021-09-07 05:52:36.176430 : Epoch  6, Batch    223, Loss  0.542375, Average Loss  0.543362, Time  0.461806
2021-09-07 05:52:38.052154 : Epoch  6, Batch    224, Loss  0.541495, Average Loss  0.543347, Time  0.461592
2021-09-07 05:52:39.933522 : Epoch  6, Batch    225, Loss  0.530897, Average Loss  0.543288, Time  0.462191
2021-09-07 05:52:41.822796 : Epoch  6, Batch    226, Loss  0.548705, Average Loss  0.543365, Time  0.461375
2021-09-07 05:52:43.688033 : Epoch  6, Batch    227, Loss  0.530718, Average Loss  0.543267, Time  0.461876
2021-09-07 05:52:45.558551 : Epoch  6, Batch    228, Loss  0.539260, Average Loss  0.543295, Time  0.462135
2021-09-07 05:52:47.444003 : Epoch  6, Batch    229, Loss  0.529749, Average Loss  0.543185, Time  0.462133
2021-09-07 05:52:49.328132 : Epoch  6, Batch    230, Loss  0.540144, Average Loss  0.543206, Time  0.461749
2021-09-07 05:52:51.205680 : Epoch  6, Batch    231, Loss  0.543394, Average Loss  0.543176, Time  0.461320
2021-09-07 05:52:53.072407 : Epoch  6, Batch    232, Loss  0.542279, Average Loss  0.543136, Time  0.460323
2021-09-07 05:52:54.952142 : Epoch  6, Batch    233, Loss  0.544369, Average Loss  0.543085, Time  0.460876
2021-09-07 05:52:56.831451 : Epoch  6, Batch    234, Loss  0.523348, Average Loss  0.543014, Time  0.460842
2021-09-07 05:52:58.693869 : Epoch  6, Batch    235, Loss  0.561929, Average Loss  0.543103, Time  0.461639
2021-09-07 05:53:02.634580 : Epoch  6, Batch    236, Loss  0.534827, Average Loss  0.543092, Time  0.474840
2021-09-07 05:53:04.508510 : Epoch  6, Batch    237, Loss  0.544915, Average Loss  0.543128, Time  0.462391
2021-09-07 05:53:06.369478 : Epoch  6, Batch    238, Loss  0.544777, Average Loss  0.543127, Time  0.461139
2021-09-07 05:53:08.244381 : Epoch  6, Batch    239, Loss  0.536809, Average Loss  0.543077, Time  0.461519
2021-09-07 05:53:10.150096 : Epoch  6, Batch    240, Loss  0.539108, Average Loss  0.543080, Time  0.462103
2021-09-07 05:53:12.027546 : Epoch  6, Batch    241, Loss  0.549603, Average Loss  0.543065, Time  0.461852
2021-09-07 05:53:13.913679 : Epoch  6, Batch    242, Loss  0.534886, Average Loss  0.542992, Time  0.461205
2021-09-07 05:53:15.774535 : Epoch  6, Batch    243, Loss  0.541348, Average Loss  0.542912, Time  0.461270
2021-09-07 05:53:17.645064 : Epoch  6, Batch    244, Loss  0.536583, Average Loss  0.542891, Time  0.461980
2021-09-07 05:53:19.529995 : Epoch  6, Batch    245, Loss  0.542458, Average Loss  0.542900, Time  0.461115
2021-09-07 05:53:21.401914 : Epoch  6, Batch    246, Loss  0.535120, Average Loss  0.542910, Time  0.461522
2021-09-07 05:53:23.270491 : Epoch  6, Batch    247, Loss  0.545650, Average Loss  0.543012, Time  0.460833
2021-09-07 05:53:25.135875 : Epoch  6, Batch    248, Loss  0.536886, Average Loss  0.543023, Time  0.460822
2021-09-07 05:53:27.009774 : Epoch  6, Batch    249, Loss  0.529288, Average Loss  0.542902, Time  0.461934
2021-09-07 05:53:28.884270 : Epoch  6, Batch    250, Loss  0.537252, Average Loss  0.542870, Time  0.460784
2021-09-07 05:53:30.760640 : Epoch  6, Batch    251, Loss  0.551878, Average Loss  0.542899, Time  0.461620
2021-09-07 05:53:32.653590 : Epoch  6, Batch    252, Loss  0.558159, Average Loss  0.542982, Time  0.461346
2021-09-07 05:53:34.538269 : Epoch  6, Batch    253, Loss  0.542456, Average Loss  0.542996, Time  0.461832
2021-09-07 05:53:36.443625 : Epoch  6, Batch    254, Loss  0.535793, Average Loss  0.542918, Time  0.460857
2021-09-07 05:53:38.313478 : Epoch  6, Batch    255, Loss  0.540116, Average Loss  0.542896, Time  0.462383
2021-09-07 05:53:40.189702 : Epoch  6, Batch    256, Loss  0.533690, Average Loss  0.542838, Time  0.462148
2021-09-07 05:53:42.081035 : Epoch  6, Batch    257, Loss  0.539537, Average Loss  0.542845, Time  0.462104
2021-09-07 05:53:43.962057 : Epoch  6, Batch    258, Loss  0.543524, Average Loss  0.542840, Time  0.461781
2021-09-07 05:53:45.832976 : Epoch  6, Batch    259, Loss  0.544086, Average Loss  0.542871, Time  0.462339
2021-09-07 05:53:47.721522 : Epoch  6, Batch    260, Loss  0.536576, Average Loss  0.542807, Time  0.462059
2021-09-07 05:53:49.605863 : Epoch  6, Batch    261, Loss  0.548977, Average Loss  0.542812, Time  0.461451
2021-09-07 05:53:51.473540 : Epoch  6, Batch    262, Loss  0.538796, Average Loss  0.542791, Time  0.461401
2021-09-07 05:53:53.359681 : Epoch  6, Batch    263, Loss  0.544761, Average Loss  0.542818, Time  0.462219
2021-09-07 05:53:55.248769 : Epoch  6, Batch    264, Loss  0.550057, Average Loss  0.542884, Time  0.461314
2021-09-07 05:53:57.129009 : Epoch  6, Batch    265, Loss  0.537595, Average Loss  0.542849, Time  0.461393
2021-09-07 05:55:00.985353 : CheckPoint: Validation Loss  0.00022645, Best Loss  0.00021621
2021-09-07 05:55:02.861777 : Epoch  6, Batch    266, Loss  0.535184, Average Loss  0.542907, Time  0.461620
2021-09-07 05:55:04.732061 : Epoch  6, Batch    267, Loss  0.524819, Average Loss  0.542832, Time  0.460927
2021-09-07 05:55:06.602140 : Epoch  6, Batch    268, Loss  0.543629, Average Loss  0.542827, Time  0.460838
2021-09-07 05:55:08.484520 : Epoch  6, Batch    269, Loss  0.535783, Average Loss  0.542780, Time  0.462534
2021-09-07 05:55:10.360469 : Epoch  6, Batch    270, Loss  0.546448, Average Loss  0.542736, Time  0.461134
2021-09-07 05:55:12.218796 : Epoch  6, Batch    271, Loss  0.553050, Average Loss  0.542750, Time  0.460653
2021-09-07 05:55:14.089350 : Epoch  6, Batch    272, Loss  0.538505, Average Loss  0.542748, Time  0.461834
2021-09-07 05:55:15.965130 : Epoch  6, Batch    273, Loss  0.532201, Average Loss  0.542640, Time  0.460923
2021-09-07 05:55:17.835336 : Epoch  6, Batch    274, Loss  0.541947, Average Loss  0.542590, Time  0.462085
2021-09-07 05:55:19.703102 : Epoch  6, Batch    275, Loss  0.527854, Average Loss  0.542542, Time  0.460626
2021-09-07 05:55:21.571491 : Epoch  6, Batch    276, Loss  0.550576, Average Loss  0.542609, Time  0.461176
2021-09-07 05:55:23.444808 : Epoch  6, Batch    277, Loss  0.550098, Average Loss  0.542636, Time  0.461044
2021-09-07 05:55:25.308419 : Epoch  6, Batch    278, Loss  0.535792, Average Loss  0.542594, Time  0.461237
2021-09-07 05:55:27.192236 : Epoch  6, Batch    279, Loss  0.552451, Average Loss  0.542648, Time  0.462425
2021-09-07 05:55:29.068895 : Epoch  6, Batch    280, Loss  0.537988, Average Loss  0.542647, Time  0.460524
2021-09-07 05:55:30.930417 : Epoch  6, Batch    281, Loss  0.550045, Average Loss  0.542631, Time  0.461684
2021-09-07 05:55:32.798169 : Epoch  6, Batch    282, Loss  0.548447, Average Loss  0.542599, Time  0.461056
2021-09-07 05:55:34.663045 : Epoch  6, Batch    283, Loss  0.545330, Average Loss  0.542623, Time  0.460569
2021-09-07 05:55:36.530456 : Epoch  6, Batch    284, Loss  0.519237, Average Loss  0.542492, Time  0.461747
2021-09-07 05:55:38.399526 : Epoch  6, Batch    285, Loss  0.537937, Average Loss  0.542455, Time  0.460597
2021-09-07 05:55:40.256413 : Epoch  6, Batch    286, Loss  0.548246, Average Loss  0.542419, Time  0.460353
2021-09-07 05:55:42.119642 : Epoch  6, Batch    287, Loss  0.549090, Average Loss  0.542416, Time  0.460949
2021-09-07 05:55:43.996825 : Epoch  6, Batch    288, Loss  0.552344, Average Loss  0.542531, Time  0.462139
2021-09-07 05:55:45.884952 : Epoch  6, Batch    289, Loss  0.543849, Average Loss  0.542479, Time  0.461753
2021-09-07 05:55:47.767972 : Epoch  6, Batch    290, Loss  0.542121, Average Loss  0.542472, Time  0.461962
2021-09-07 05:55:49.657534 : Epoch  6, Batch    291, Loss  0.547912, Average Loss  0.542438, Time  0.461299
2021-09-07 05:55:51.537762 : Epoch  6, Batch    292, Loss  0.552444, Average Loss  0.542493, Time  0.461111
2021-09-07 05:55:53.410772 : Epoch  6, Batch    293, Loss  0.539869, Average Loss  0.542607, Time  0.460948
2021-09-07 05:55:55.272217 : Epoch  6, Batch    294, Loss  0.534224, Average Loss  0.542548, Time  0.461992
2021-09-07 05:55:57.137181 : Epoch  6, Batch    295, Loss  0.549312, Average Loss  0.542596, Time  0.461882
2021-09-07 05:55:59.006021 : Epoch  6, Batch    296, Loss  0.545155, Average Loss  0.542586, Time  0.461186
2021-09-07 05:56:00.865207 : Epoch  6, Batch    297, Loss  0.529841, Average Loss  0.542549, Time  0.461321
2021-09-07 05:56:02.734673 : Epoch  6, Batch    298, Loss  0.551791, Average Loss  0.542555, Time  0.461054
2021-09-07 05:56:04.606716 : Epoch  6, Batch    299, Loss  0.542137, Average Loss  0.542513, Time  0.462069
2021-09-07 05:56:06.488118 : Epoch  6, Batch    300, Loss  0.541549, Average Loss  0.542438, Time  0.461524
2021-09-07 05:56:08.373239 : Epoch  6, Batch    301, Loss  0.555226, Average Loss  0.542537, Time  0.461612
2021-09-07 05:56:10.256961 : Epoch  6, Batch    302, Loss  0.538911, Average Loss  0.542517, Time  0.461362
2021-09-07 05:56:12.140653 : Epoch  6, Batch    303, Loss  0.557571, Average Loss  0.542660, Time  0.462870
2021-09-07 05:56:14.038528 : Epoch  6, Batch    304, Loss  0.556293, Average Loss  0.542752, Time  0.460614
2021-09-07 05:56:15.900507 : Epoch  6, Batch    305, Loss  0.549756, Average Loss  0.542750, Time  0.460897
2021-09-07 05:56:17.772014 : Epoch  6, Batch    306, Loss  0.542734, Average Loss  0.542699, Time  0.463192
2021-09-07 05:56:19.657831 : Epoch  6, Batch    307, Loss  0.552990, Average Loss  0.542772, Time  0.460700
2021-09-07 05:56:21.542630 : Epoch  6, Batch    308, Loss  0.536521, Average Loss  0.542759, Time  0.461633
2021-09-07 05:56:23.411426 : Epoch  6, Batch    309, Loss  0.531968, Average Loss  0.542665, Time  0.460893
2021-09-07 05:56:25.291790 : Epoch  6, Batch    310, Loss  0.549850, Average Loss  0.542642, Time  0.461481
2021-09-07 05:56:27.156528 : Epoch  6, Batch    311, Loss  0.552185, Average Loss  0.542630, Time  0.460779
2021-09-07 05:56:29.040397 : Epoch  6, Batch    312, Loss  0.545544, Average Loss  0.542647, Time  0.460582
2021-09-07 05:56:30.904964 : Epoch  6, Batch    313, Loss  0.529381, Average Loss  0.542576, Time  0.461018
2021-09-07 05:56:32.763388 : Epoch  6, Batch    314, Loss  0.549128, Average Loss  0.542559, Time  0.461236
2021-09-07 05:56:34.628019 : Epoch  6, Batch    315, Loss  0.535893, Average Loss  0.542622, Time  0.461966
2021-09-07 05:56:36.498614 : Epoch  6, Batch    316, Loss  0.540262, Average Loss  0.542571, Time  0.462146
2021-09-07 05:56:38.383189 : Epoch  6, Batch    317, Loss  0.541890, Average Loss  0.542541, Time  0.461112
2021-09-07 05:56:40.245489 : Epoch  6, Batch    318, Loss  0.542499, Average Loss  0.542553, Time  0.460346
2021-09-07 05:56:42.131802 : Epoch  6, Batch    319, Loss  0.536398, Average Loss  0.542460, Time  0.461495
2021-09-07 05:56:44.008694 : Epoch  6, Batch    320, Loss  0.536889, Average Loss  0.542437, Time  0.461062
2021-09-07 05:56:45.876890 : Epoch  6, Batch    321, Loss  0.554281, Average Loss  0.542481, Time  0.461417
2021-09-07 05:56:47.756087 : Epoch  6, Batch    322, Loss  0.544183, Average Loss  0.542491, Time  0.462186
2021-09-07 05:56:49.644503 : Epoch  6, Batch    323, Loss  0.551989, Average Loss  0.542560, Time  0.462020
2021-09-07 05:56:51.542408 : Epoch  6, Batch    324, Loss  0.552676, Average Loss  0.542594, Time  0.461095
2021-09-07 05:56:53.406222 : Epoch  6, Batch    325, Loss  0.533975, Average Loss  0.542579, Time  0.460994
2021-09-07 05:56:55.274901 : Epoch  6, Batch    326, Loss  0.548753, Average Loss  0.542644, Time  0.461767
2021-09-07 05:56:57.155693 : Epoch  6, Batch    327, Loss  0.538025, Average Loss  0.542576, Time  0.460779
2021-09-07 05:56:59.020160 : Epoch  6, Batch    328, Loss  0.533757, Average Loss  0.542517, Time  0.460515
2021-09-07 05:57:00.899947 : Epoch  6, Batch    329, Loss  0.551729, Average Loss  0.542525, Time  0.461117
2021-09-07 05:57:02.768094 : Epoch  6, Batch    330, Loss  0.528191, Average Loss  0.542504, Time  0.461621
2021-09-07 05:57:04.637206 : Epoch  6, Batch    331, Loss  0.531077, Average Loss  0.542441, Time  0.460576
2021-09-07 05:57:06.501021 : Epoch  6, Batch    332, Loss  0.536251, Average Loss  0.542426, Time  0.461106
2021-09-07 05:57:08.369504 : Epoch  6, Batch    333, Loss  0.541095, Average Loss  0.542407, Time  0.461529
2021-09-07 05:57:10.253055 : Epoch  6, Batch    334, Loss  0.545869, Average Loss  0.542364, Time  0.460845
2021-09-07 05:57:12.135149 : Epoch  6, Batch    335, Loss  0.532309, Average Loss  0.542350, Time  0.462198
2021-09-07 05:57:16.086350 : Epoch  6, Batch    336, Loss  0.551229, Average Loss  0.542437, Time  0.469337
2021-09-07 05:57:17.996210 : Epoch  6, Batch    337, Loss  0.536829, Average Loss  0.542344, Time  0.461459
2021-09-07 05:57:19.868000 : Epoch  6, Batch    338, Loss  0.541235, Average Loss  0.542375, Time  0.461023
2021-09-07 05:57:21.738765 : Epoch  6, Batch    339, Loss  0.551822, Average Loss  0.542355, Time  0.461195
2021-09-07 05:57:23.610009 : Epoch  6, Batch    340, Loss  0.541633, Average Loss  0.542365, Time  0.460785
2021-09-07 05:57:25.493245 : Epoch  6, Batch    341, Loss  0.532000, Average Loss  0.542310, Time  0.461549
2021-09-07 05:57:27.368568 : Epoch  6, Batch    342, Loss  0.551537, Average Loss  0.542384, Time  0.462231
2021-09-07 05:57:29.256809 : Epoch  6, Batch    343, Loss  0.550078, Average Loss  0.542470, Time  0.462229
2021-09-07 05:57:31.138838 : Epoch  6, Batch    344, Loss  0.530665, Average Loss  0.542410, Time  0.461416
2021-09-07 05:57:33.021555 : Epoch  6, Batch    345, Loss  0.550214, Average Loss  0.542421, Time  0.461858
2021-09-07 05:57:34.904060 : Epoch  6, Batch    346, Loss  0.547797, Average Loss  0.542436, Time  0.461040
2021-09-07 05:57:36.780208 : Epoch  6, Batch    347, Loss  0.545830, Average Loss  0.542429, Time  0.461654
2021-09-07 05:57:38.657507 : Epoch  6, Batch    348, Loss  0.546818, Average Loss  0.542443, Time  0.461093
2021-09-07 05:57:40.517917 : Epoch  6, Batch    349, Loss  0.549792, Average Loss  0.542474, Time  0.460604
2021-09-07 05:57:42.384889 : Epoch  6, Batch    350, Loss  0.553602, Average Loss  0.542600, Time  0.461306
2021-09-07 05:57:44.270096 : Epoch  6, Batch    351, Loss  0.534560, Average Loss  0.542564, Time  0.461903
2021-09-07 05:57:46.161185 : Epoch  6, Batch    352, Loss  0.541306, Average Loss  0.542590, Time  0.461283
2021-09-07 05:57:48.023961 : Epoch  6, Batch    353, Loss  0.556300, Average Loss  0.542655, Time  0.460545
2021-09-07 05:57:49.894196 : Epoch  6, Batch    354, Loss  0.551342, Average Loss  0.542736, Time  0.461048
2021-09-07 05:57:51.776510 : Epoch  6, Batch    355, Loss  0.537994, Average Loss  0.542732, Time  0.462248
2021-09-07 05:57:53.656265 : Epoch  6, Batch    356, Loss  0.547478, Average Loss  0.542710, Time  0.460644
2021-09-07 05:57:55.542353 : Epoch  6, Batch    357, Loss  0.542229, Average Loss  0.542670, Time  0.460647
2021-09-07 05:57:57.406050 : Epoch  6, Batch    358, Loss  0.556524, Average Loss  0.542723, Time  0.461168
2021-09-07 05:57:59.271466 : Epoch  6, Batch    359, Loss  0.559169, Average Loss  0.542865, Time  0.461251
2021-09-07 05:58:01.159924 : Epoch  6, Batch    360, Loss  0.540249, Average Loss  0.542907, Time  0.461859
2021-09-07 05:58:03.046266 : Epoch  6, Batch    361, Loss  0.534456, Average Loss  0.542835, Time  0.460909
2021-09-07 05:58:04.916387 : Epoch  6, Batch    362, Loss  0.538122, Average Loss  0.542814, Time  0.461339
2021-09-07 05:58:06.790400 : Epoch  6, Batch    363, Loss  0.551642, Average Loss  0.542817, Time  0.462101
2021-09-07 05:58:08.687737 : Epoch  6, Batch    364, Loss  0.531048, Average Loss  0.542727, Time  0.461287
2021-09-07 05:58:10.575976 : Epoch  6, Batch    365, Loss  0.541574, Average Loss  0.542691, Time  0.461242
2021-09-07 05:59:14.479748 : CheckPoint: Validation Loss  0.00022951, Best Loss  0.00021621
2021-09-07 05:59:16.354242 : Epoch  6, Batch    366, Loss  0.536148, Average Loss  0.542605, Time  0.462232
2021-09-07 05:59:18.223856 : Epoch  6, Batch    367, Loss  0.548378, Average Loss  0.542684, Time  0.461397
2021-09-07 05:59:20.103549 : Epoch  6, Batch    368, Loss  0.540050, Average Loss  0.542658, Time  0.461457
2021-09-07 05:59:21.973275 : Epoch  6, Batch    369, Loss  0.548427, Average Loss  0.542660, Time  0.460748
2021-09-07 05:59:23.851068 : Epoch  6, Batch    370, Loss  0.532279, Average Loss  0.542568, Time  0.461048
2021-09-07 05:59:25.714403 : Epoch  6, Batch    371, Loss  0.547698, Average Loss  0.542576, Time  0.460675
2021-09-07 05:59:27.572480 : Epoch  6, Batch    372, Loss  0.543787, Average Loss  0.542549, Time  0.460042
2021-09-07 05:59:29.424795 : Epoch  6, Batch    373, Loss  0.533129, Average Loss  0.542470, Time  0.460876
2021-09-07 05:59:31.289723 : Epoch  6, Batch    374, Loss  0.547724, Average Loss  0.542546, Time  0.461919
2021-09-07 05:59:33.171093 : Epoch  6, Batch    375, Loss  0.532374, Average Loss  0.542580, Time  0.461355
2021-09-07 05:59:35.035187 : Epoch  6, Batch    376, Loss  0.545273, Average Loss  0.542604, Time  0.461606
2021-09-07 05:59:36.898565 : Epoch  6, Batch    377, Loss  0.543661, Average Loss  0.542644, Time  0.460932
2021-09-07 05:59:38.752566 : Epoch  6, Batch    378, Loss  0.528642, Average Loss  0.542518, Time  0.460595
2021-09-07 05:59:40.612038 : Epoch  6, Batch    379, Loss  0.544771, Average Loss  0.542575, Time  0.461078
2021-09-07 05:59:42.482078 : Epoch  6, Batch    380, Loss  0.522021, Average Loss  0.542470, Time  0.461071
2021-09-07 05:59:44.361243 : Epoch  6, Batch    381, Loss  0.541359, Average Loss  0.542507, Time  0.461976
2021-09-07 05:59:46.238590 : Epoch  6, Batch    382, Loss  0.547887, Average Loss  0.542538, Time  0.460999
2021-09-07 05:59:48.096528 : Epoch  6, Batch    383, Loss  0.536580, Average Loss  0.542519, Time  0.460826
2021-09-07 05:59:49.956342 : Epoch  6, Batch    384, Loss  0.558079, Average Loss  0.542584, Time  0.462947
2021-09-07 05:59:51.834185 : Epoch  6, Batch    385, Loss  0.535708, Average Loss  0.542598, Time  0.461967
2021-09-07 05:59:53.711448 : Epoch  6, Batch    386, Loss  0.545092, Average Loss  0.542632, Time  0.461728
2021-09-07 05:59:55.597648 : Epoch  6, Batch    387, Loss  0.544429, Average Loss  0.542641, Time  0.460806
2021-09-07 05:59:57.460062 : Epoch  6, Batch    388, Loss  0.534253, Average Loss  0.542562, Time  0.461942
2021-09-07 05:59:59.340553 : Epoch  6, Batch    389, Loss  0.525055, Average Loss  0.542521, Time  0.460916
2021-09-07 06:00:01.211977 : Epoch  6, Batch    390, Loss  0.555299, Average Loss  0.542539, Time  0.461080
2021-09-07 06:00:03.066010 : Epoch  6, Batch    391, Loss  0.552105, Average Loss  0.542594, Time  0.461712
2021-09-07 06:00:04.935159 : Epoch  6, Batch    392, Loss  0.539952, Average Loss  0.542620, Time  0.461847
2021-09-07 06:00:06.805816 : Epoch  6, Batch    393, Loss  0.549827, Average Loss  0.542653, Time  0.461527
2021-09-07 06:00:08.670495 : Epoch  6, Batch    394, Loss  0.553123, Average Loss  0.542685, Time  0.461299
2021-09-07 06:00:10.546278 : Epoch  6, Batch    395, Loss  0.539608, Average Loss  0.542661, Time  0.461550
2021-09-07 06:00:12.425454 : Epoch  6, Batch    396, Loss  0.542738, Average Loss  0.542545, Time  0.461862
2021-09-07 06:00:14.303212 : Epoch  6, Batch    397, Loss  0.541657, Average Loss  0.542503, Time  0.462118
2021-09-07 06:00:16.168219 : Epoch  6, Batch    398, Loss  0.536677, Average Loss  0.542459, Time  0.460833
2021-09-07 06:00:18.043143 : Epoch  6, Batch    399, Loss  0.537472, Average Loss  0.542428, Time  0.462577
2021-09-07 06:00:19.926783 : Epoch  6, Batch    400, Loss  0.547358, Average Loss  0.542477, Time  0.461252
2021-09-07 06:00:21.792545 : Epoch  6, Batch    401, Loss  0.552347, Average Loss  0.542532, Time  0.461074
2021-09-07 06:00:23.658142 : Epoch  6, Batch    402, Loss  0.548993, Average Loss  0.542574, Time  0.462224
2021-09-07 06:00:25.558643 : Epoch  6, Batch    403, Loss  0.533810, Average Loss  0.542592, Time  0.460785
2021-09-07 06:00:27.425968 : Epoch  6, Batch    404, Loss  0.544338, Average Loss  0.542588, Time  0.461286
2021-09-07 06:00:29.308798 : Epoch  6, Batch    405, Loss  0.546897, Average Loss  0.542640, Time  0.461512
2021-09-07 06:00:31.190833 : Epoch  6, Batch    406, Loss  0.552356, Average Loss  0.542681, Time  0.461255
2021-09-07 06:00:33.049146 : Epoch  6, Batch    407, Loss  0.527960, Average Loss  0.542661, Time  0.460688
2021-09-07 06:00:34.902375 : Epoch  6, Batch    408, Loss  0.550466, Average Loss  0.542717, Time  0.460816
2021-09-07 06:00:36.762233 : Epoch  6, Batch    409, Loss  0.543574, Average Loss  0.542665, Time  0.461086
2021-09-07 06:00:38.641310 : Epoch  6, Batch    410, Loss  0.555851, Average Loss  0.542685, Time  0.460831
2021-09-07 06:00:40.526040 : Epoch  6, Batch    411, Loss  0.533506, Average Loss  0.542631, Time  0.461427
2021-09-07 06:00:42.394055 : Epoch  6, Batch    412, Loss  0.538467, Average Loss  0.542601, Time  0.460817
2021-09-07 06:00:44.261981 : Epoch  6, Batch    413, Loss  0.539629, Average Loss  0.542593, Time  0.461708
2021-09-07 06:00:46.130220 : Epoch  6, Batch    414, Loss  0.532317, Average Loss  0.542557, Time  0.460810
2021-09-07 06:00:47.993634 : Epoch  6, Batch    415, Loss  0.540352, Average Loss  0.542518, Time  0.463297
2021-09-07 06:00:49.872556 : Epoch  6, Batch    416, Loss  0.529127, Average Loss  0.542402, Time  0.461737
2021-09-07 06:00:51.758701 : Epoch  6, Batch    417, Loss  0.538905, Average Loss  0.542405, Time  0.461152
2021-09-07 06:00:53.644221 : Epoch  6, Batch    418, Loss  0.526151, Average Loss  0.542350, Time  0.460478
2021-09-07 06:00:55.513967 : Epoch  6, Batch    419, Loss  0.527691, Average Loss  0.542284, Time  0.460834
2021-09-07 06:00:57.376388 : Epoch  6, Batch    420, Loss  0.544848, Average Loss  0.542236, Time  0.460845
2021-09-07 06:00:59.235957 : Epoch  6, Batch    421, Loss  0.553702, Average Loss  0.542287, Time  0.462269
2021-09-07 06:01:01.130809 : Epoch  6, Batch    422, Loss  0.542546, Average Loss  0.542225, Time  0.461668
2021-09-07 06:01:03.003058 : Epoch  6, Batch    423, Loss  0.541320, Average Loss  0.542220, Time  0.461039
2021-09-07 06:01:04.852238 : Epoch  6, Batch    424, Loss  0.550874, Average Loss  0.542266, Time  0.460781
2021-09-07 06:01:06.718793 : Epoch  6, Batch    425, Loss  0.530679, Average Loss  0.542265, Time  0.461482
2021-09-07 06:01:08.599514 : Epoch  6, Batch    426, Loss  0.533811, Average Loss  0.542191, Time  0.462428
2021-09-07 06:01:10.465974 : Epoch  6, Batch    427, Loss  0.553873, Average Loss  0.542307, Time  0.461220
2021-09-07 06:01:12.349153 : Epoch  6, Batch    428, Loss  0.540174, Average Loss  0.542311, Time  0.461035
2021-09-07 06:01:14.210173 : Epoch  6, Batch    429, Loss  0.540398, Average Loss  0.542364, Time  0.461233
2021-09-07 06:01:16.089049 : Epoch  6, Batch    430, Loss  0.537378, Average Loss  0.542351, Time  0.462183
2021-09-07 06:01:17.951065 : Epoch  6, Batch    431, Loss  0.560559, Average Loss  0.542436, Time  0.460881
2021-09-07 06:01:19.813449 : Epoch  6, Batch    432, Loss  0.534337, Average Loss  0.542397, Time  0.460624
2021-09-07 06:01:21.668987 : Epoch  6, Batch    433, Loss  0.556379, Average Loss  0.542457, Time  0.461447
2021-09-07 06:01:23.536815 : Epoch  6, Batch    434, Loss  0.541938, Average Loss  0.542550, Time  0.465156
2021-09-07 06:01:25.431658 : Epoch  6, Batch    435, Loss  0.542756, Average Loss  0.542454, Time  0.460928
2021-09-07 06:01:29.372880 : Epoch  6, Batch    436, Loss  0.547799, Average Loss  0.542519, Time  0.474013
2021-09-07 06:01:31.227418 : Epoch  6, Batch    437, Loss  0.538440, Average Loss  0.542486, Time  0.460999
2021-09-07 06:01:33.075124 : Epoch  6, Batch    438, Loss  0.536385, Average Loss  0.542444, Time  0.461316
2021-09-07 06:01:34.938201 : Epoch  6, Batch    439, Loss  0.540382, Average Loss  0.542462, Time  0.461155
2021-09-07 06:01:36.789840 : Epoch  6, Batch    440, Loss  0.547855, Average Loss  0.542506, Time  0.461378
2021-09-07 06:01:38.650983 : Epoch  6, Batch    441, Loss  0.543875, Average Loss  0.542477, Time  0.461074
2021-09-07 06:01:40.497794 : Epoch  6, Batch    442, Loss  0.543700, Average Loss  0.542521, Time  0.460852
2021-09-07 06:01:42.370351 : Epoch  6, Batch    443, Loss  0.530735, Average Loss  0.542468, Time  0.461659
2021-09-07 06:01:44.253436 : Epoch  6, Batch    444, Loss  0.548272, Average Loss  0.542527, Time  0.460805
2021-09-07 06:01:46.108065 : Epoch  6, Batch    445, Loss  0.527525, Average Loss  0.542452, Time  0.462460
2021-09-07 06:01:47.989786 : Epoch  6, Batch    446, Loss  0.525619, Average Loss  0.542405, Time  0.461849
2021-09-07 06:01:49.833784 : Epoch  6, Batch    447, Loss  0.562661, Average Loss  0.542490, Time  0.460660
2021-09-07 06:01:51.708485 : Epoch  6, Batch    448, Loss  0.534850, Average Loss  0.542479, Time  0.460539
2021-09-07 06:01:53.570034 : Epoch  6, Batch    449, Loss  0.557295, Average Loss  0.542620, Time  0.461266
2021-09-07 06:01:55.438248 : Epoch  6, Batch    450, Loss  0.539899, Average Loss  0.542633, Time  0.460637
2021-09-07 06:01:57.297760 : Epoch  6, Batch    451, Loss  0.538284, Average Loss  0.542565, Time  0.460534
2021-09-07 06:01:59.160284 : Epoch  6, Batch    452, Loss  0.543732, Average Loss  0.542493, Time  0.461009
2021-09-07 06:02:01.033948 : Epoch  6, Batch    453, Loss  0.563712, Average Loss  0.542599, Time  0.460735
2021-09-07 06:02:02.884991 : Epoch  6, Batch    454, Loss  0.539203, Average Loss  0.542616, Time  0.462307
2021-09-07 06:02:04.736449 : Epoch  6, Batch    455, Loss  0.544011, Average Loss  0.542635, Time  0.460812
2021-09-07 06:02:06.598528 : Epoch  6, Batch    456, Loss  0.556133, Average Loss  0.542748, Time  0.461715
2021-09-07 06:02:08.465306 : Epoch  6, Batch    457, Loss  0.541206, Average Loss  0.542756, Time  0.460889
2021-09-07 06:02:10.323041 : Epoch  6, Batch    458, Loss  0.541405, Average Loss  0.542745, Time  0.461973
2021-09-07 06:02:12.185121 : Epoch  6, Batch    459, Loss  0.541397, Average Loss  0.542732, Time  0.461585
2021-09-07 06:02:14.042965 : Epoch  6, Batch    460, Loss  0.524849, Average Loss  0.542673, Time  0.461919
2021-09-07 06:02:15.910204 : Epoch  6, Batch    461, Loss  0.537661, Average Loss  0.542617, Time  0.461436
2021-09-07 06:02:17.784753 : Epoch  6, Batch    462, Loss  0.545196, Average Loss  0.542649, Time  0.460941
2021-09-07 06:02:19.638531 : Epoch  6, Batch    463, Loss  0.536291, Average Loss  0.542606, Time  0.461299
2021-09-07 06:02:21.489987 : Epoch  6, Batch    464, Loss  0.524320, Average Loss  0.542478, Time  0.463131
2021-09-07 06:02:23.342933 : Epoch  6, Batch    465, Loss  0.534836, Average Loss  0.542464, Time  0.460584
2021-09-07 06:03:27.099309 : CheckPoint: Validation Loss  0.00022306, Best Loss  0.00021621
2021-09-07 06:03:29.001012 : Epoch  6, Batch    466, Loss  0.532291, Average Loss  0.542449, Time  0.461113
2021-09-07 06:03:30.870423 : Epoch  6, Batch    467, Loss  0.544194, Average Loss  0.542546, Time  0.460466
2021-09-07 06:03:32.735758 : Epoch  6, Batch    468, Loss  0.539558, Average Loss  0.542526, Time  0.460849
2021-09-07 06:03:34.605352 : Epoch  6, Batch    469, Loss  0.554947, Average Loss  0.542622, Time  0.462939
2021-09-07 06:03:36.483780 : Epoch  6, Batch    470, Loss  0.544305, Average Loss  0.542611, Time  0.462160
2021-09-07 06:03:38.353796 : Epoch  6, Batch    471, Loss  0.548371, Average Loss  0.542588, Time  0.461274
2021-09-07 06:03:40.214204 : Epoch  6, Batch    472, Loss  0.522063, Average Loss  0.542505, Time  0.461137
2021-09-07 06:03:42.078122 : Epoch  6, Batch    473, Loss  0.538463, Average Loss  0.542537, Time  0.461607
2021-09-07 06:03:43.957874 : Epoch  6, Batch    474, Loss  0.557409, Average Loss  0.542614, Time  0.461572
2021-09-07 06:03:45.825288 : Epoch  6, Batch    475, Loss  0.545594, Average Loss  0.542703, Time  0.461997
2021-09-07 06:03:47.694168 : Epoch  6, Batch    476, Loss  0.541376, Average Loss  0.542657, Time  0.461288
2021-09-07 06:03:49.555110 : Epoch  6, Batch    477, Loss  0.530611, Average Loss  0.542559, Time  0.461835
2021-09-07 06:03:51.449123 : Epoch  6, Batch    478, Loss  0.545476, Average Loss  0.542608, Time  0.461951
2021-09-07 06:03:53.319253 : Epoch  6, Batch    479, Loss  0.541703, Average Loss  0.542554, Time  0.460658
2021-09-07 06:03:55.187736 : Epoch  6, Batch    480, Loss  0.545417, Average Loss  0.542591, Time  0.461029
2021-09-07 06:03:57.072803 : Epoch  6, Batch    481, Loss  0.548170, Average Loss  0.542582, Time  0.461269
2021-09-07 06:03:58.960839 : Epoch  6, Batch    482, Loss  0.530683, Average Loss  0.542493, Time  0.461950
2021-09-07 06:04:00.856306 : Epoch  6, Batch    483, Loss  0.542609, Average Loss  0.542479, Time  0.461685
2021-09-07 06:04:02.738692 : Epoch  6, Batch    484, Loss  0.528813, Average Loss  0.542527, Time  0.460537
2021-09-07 06:04:04.604326 : Epoch  6, Batch    485, Loss  0.557715, Average Loss  0.542626, Time  0.461354
2021-09-07 06:04:06.472448 : Epoch  6, Batch    486, Loss  0.529527, Average Loss  0.542533, Time  0.460861
2021-09-07 06:04:08.339031 : Epoch  6, Batch    487, Loss  0.545679, Average Loss  0.542516, Time  0.460673
2021-09-07 06:04:10.205857 : Epoch  6, Batch    488, Loss  0.550281, Average Loss  0.542505, Time  0.461022
2021-09-07 06:04:12.085027 : Epoch  6, Batch    489, Loss  0.546069, Average Loss  0.542516, Time  0.461144
2021-09-07 06:04:13.973306 : Epoch  6, Batch    490, Loss  0.543122, Average Loss  0.542521, Time  0.461639
2021-09-07 06:04:15.853063 : Epoch  6, Batch    491, Loss  0.532869, Average Loss  0.542446, Time  0.461671
2021-09-07 06:04:17.721027 : Epoch  6, Batch    492, Loss  0.547078, Average Loss  0.542419, Time  0.462043
2021-09-07 06:04:19.604696 : Epoch  6, Batch    493, Loss  0.535064, Average Loss  0.542395, Time  0.462973
2021-09-07 06:04:21.469089 : Epoch  6, Batch    494, Loss  0.536820, Average Loss  0.542408, Time  0.461265
2021-09-07 06:04:23.326813 : Epoch  6, Batch    495, Loss  0.540954, Average Loss  0.542366, Time  0.460863
2021-09-07 06:04:25.189311 : Epoch  6, Batch    496, Loss  0.548005, Average Loss  0.542381, Time  0.460571
2021-09-07 06:04:27.056090 : Epoch  6, Batch    497, Loss  0.530264, Average Loss  0.542383, Time  0.460911
2021-09-07 06:04:28.933726 : Epoch  6, Batch    498, Loss  0.539348, Average Loss  0.542321, Time  0.460256
2021-09-07 06:04:30.799924 : Epoch  6, Batch    499, Loss  0.532744, Average Loss  0.542274, Time  0.460542
2021-09-07 06:04:32.681281 : Epoch  6, Batch    500, Loss  0.534200, Average Loss  0.542237, Time  0.460790
2021-09-07 06:04:34.546696 : Epoch  6, Batch    501, Loss  0.529800, Average Loss  0.542110, Time  0.461773
2021-09-07 06:04:36.413107 : Epoch  6, Batch    502, Loss  0.536228, Average Loss  0.542096, Time  0.460406
2021-09-07 06:04:38.275296 : Epoch  6, Batch    503, Loss  0.541464, Average Loss  0.542016, Time  0.461128
2021-09-07 06:04:40.151887 : Epoch  6, Batch    504, Loss  0.534931, Average Loss  0.541909, Time  0.464212
2021-09-07 06:04:42.032648 : Epoch  6, Batch    505, Loss  0.531543, Average Loss  0.541818, Time  0.463561
2021-09-07 06:04:43.932863 : Epoch  6, Batch    506, Loss  0.532681, Average Loss  0.541768, Time  0.462886
2021-09-07 06:04:45.812759 : Epoch  6, Batch    507, Loss  0.548396, Average Loss  0.541745, Time  0.461035
2021-09-07 06:04:47.679448 : Epoch  6, Batch    508, Loss  0.538601, Average Loss  0.541755, Time  0.461366
2021-09-07 06:04:49.543579 : Epoch  6, Batch    509, Loss  0.551197, Average Loss  0.541851, Time  0.460608
2021-09-07 06:04:51.426349 : Epoch  6, Batch    510, Loss  0.540083, Average Loss  0.541802, Time  0.462759
2021-09-07 06:04:53.450732 : Epoch  6, Batch    511, Loss  0.538130, Average Loss  0.541732, Time  0.461706
2021-09-07 06:04:55.327043 : Epoch  6, Batch    512, Loss  0.550220, Average Loss  0.541755, Time  0.461441
2021-09-07 06:04:57.203148 : Epoch  6, Batch    513, Loss  0.544058, Average Loss  0.541829, Time  0.461867
2021-09-07 06:04:59.078928 : Epoch  6, Batch    514, Loss  0.547104, Average Loss  0.541819, Time  0.461989
2021-09-07 06:05:00.958063 : Epoch  6, Batch    515, Loss  0.533638, Average Loss  0.541807, Time  0.461396
2021-09-07 06:05:02.874127 : Epoch  6, Batch    516, Loss  0.526521, Average Loss  0.541739, Time  0.461490
2021-09-07 06:05:04.738275 : Epoch  6, Batch    517, Loss  0.535934, Average Loss  0.541709, Time  0.461584
2021-09-07 06:05:06.599615 : Epoch  6, Batch    518, Loss  0.536232, Average Loss  0.541678, Time  0.461148
2021-09-07 06:05:08.490207 : Epoch  6, Batch    519, Loss  0.544996, Average Loss  0.541721, Time  0.462527
2021-09-07 06:05:10.351062 : Epoch  6, Batch    520, Loss  0.535176, Average Loss  0.541712, Time  0.461438
2021-09-07 06:05:12.230320 : Epoch  6, Batch    521, Loss  0.537221, Average Loss  0.541627, Time  0.460949
2021-09-07 06:05:14.097056 : Epoch  6, Batch    522, Loss  0.539460, Average Loss  0.541603, Time  0.461082
2021-09-07 06:05:15.963682 : Epoch  6, Batch    523, Loss  0.536880, Average Loss  0.541528, Time  0.461131
2021-09-07 06:05:17.826448 : Epoch  6, Batch    524, Loss  0.537493, Average Loss  0.541452, Time  0.460970
2021-09-07 06:05:19.690737 : Epoch  6, Batch    525, Loss  0.551442, Average Loss  0.541539, Time  0.461065
2021-09-07 06:05:21.553734 : Epoch  6, Batch    526, Loss  0.529179, Average Loss  0.541441, Time  0.461899
2021-09-07 06:05:23.432111 : Epoch  6, Batch    527, Loss  0.544594, Average Loss  0.541474, Time  0.460682
2021-09-07 06:05:25.296539 : Epoch  6, Batch    528, Loss  0.532326, Average Loss  0.541467, Time  0.461552
2021-09-07 06:05:27.156405 : Epoch  6, Batch    529, Loss  0.528746, Average Loss  0.541352, Time  0.461154
2021-09-07 06:05:29.016792 : Epoch  6, Batch    530, Loss  0.553307, Average Loss  0.541478, Time  0.460979
2021-09-07 06:05:30.885186 : Epoch  6, Batch    531, Loss  0.558781, Average Loss  0.541616, Time  0.461175
2021-09-07 06:05:32.747097 : Epoch  6, Batch    532, Loss  0.536028, Average Loss  0.541615, Time  0.462021
2021-09-07 06:05:34.624792 : Epoch  6, Batch    533, Loss  0.526731, Average Loss  0.541543, Time  0.463816
2021-09-07 06:05:36.509662 : Epoch  6, Batch    534, Loss  0.535925, Average Loss  0.541493, Time  0.461666
2021-09-07 06:05:38.400312 : Epoch  6, Batch    535, Loss  0.555585, Average Loss  0.541610, Time  0.463406
2021-09-07 06:05:42.381954 : Epoch  6, Batch    536, Loss  0.548414, Average Loss  0.541596, Time  0.472838
2021-09-07 06:05:44.246298 : Epoch  6, Batch    537, Loss  0.530586, Average Loss  0.541564, Time  0.461159
2021-09-07 06:05:46.112601 : Epoch  6, Batch    538, Loss  0.557181, Average Loss  0.541644, Time  0.461812
2021-09-07 06:05:47.980389 : Epoch  6, Batch    539, Loss  0.533507, Average Loss  0.541553, Time  0.462141
2021-09-07 06:05:49.854352 : Epoch  6, Batch    540, Loss  0.543555, Average Loss  0.541562, Time  0.461572
2021-09-07 06:05:51.720516 : Epoch  6, Batch    541, Loss  0.542833, Average Loss  0.541616, Time  0.463840
2021-09-07 06:05:53.581033 : Epoch  6, Batch    542, Loss  0.547989, Average Loss  0.541599, Time  0.462093
2021-09-07 06:05:55.459021 : Epoch  6, Batch    543, Loss  0.546619, Average Loss  0.541581, Time  0.461941
2021-09-07 06:05:57.344980 : Epoch  6, Batch    544, Loss  0.545331, Average Loss  0.541655, Time  0.461381
2021-09-07 06:05:59.219019 : Epoch  6, Batch    545, Loss  0.551275, Average Loss  0.541660, Time  0.462010
2021-09-07 06:06:01.098367 : Epoch  6, Batch    546, Loss  0.528046, Average Loss  0.541561, Time  0.461857
2021-09-07 06:06:02.969325 : Epoch  6, Batch    547, Loss  0.539416, Average Loss  0.541529, Time  0.461261
2021-09-07 06:06:04.843749 : Epoch  6, Batch    548, Loss  0.540221, Average Loss  0.541496, Time  0.461175
2021-09-07 06:06:06.708048 : Epoch  6, Batch    549, Loss  0.546245, Average Loss  0.541478, Time  0.461288
2021-09-07 06:06:08.583965 : Epoch  6, Batch    550, Loss  0.534194, Average Loss  0.541381, Time  0.461797
2021-09-07 06:06:10.455397 : Epoch  6, Batch    551, Loss  0.535498, Average Loss  0.541386, Time  0.460854
2021-09-07 06:06:12.319084 : Epoch  6, Batch    552, Loss  0.539833, Average Loss  0.541379, Time  0.460679
2021-09-07 06:06:14.180502 : Epoch  6, Batch    553, Loss  0.528437, Average Loss  0.541239, Time  0.461124
2021-09-07 06:06:16.055455 : Epoch  6, Batch    554, Loss  0.536365, Average Loss  0.541165, Time  0.461472
2021-09-07 06:06:17.943735 : Epoch  6, Batch    555, Loss  0.526025, Average Loss  0.541105, Time  0.461104
2021-09-07 06:06:19.818417 : Epoch  6, Batch    556, Loss  0.524964, Average Loss  0.540992, Time  0.461397
2021-09-07 06:06:21.701224 : Epoch  6, Batch    557, Loss  0.545066, Average Loss  0.541006, Time  0.461602
2021-09-07 06:06:23.585196 : Epoch  6, Batch    558, Loss  0.534853, Average Loss  0.540898, Time  0.463648
2021-09-07 06:06:25.473822 : Epoch  6, Batch    559, Loss  0.548055, Average Loss  0.540842, Time  0.462005
2021-09-07 06:06:27.362065 : Epoch  6, Batch    560, Loss  0.539529, Average Loss  0.540839, Time  0.461830
2021-09-07 06:06:29.239678 : Epoch  6, Batch    561, Loss  0.538955, Average Loss  0.540861, Time  0.460936
2021-09-07 06:06:31.101743 : Epoch  6, Batch    562, Loss  0.544876, Average Loss  0.540895, Time  0.460835
2021-09-07 06:06:32.984376 : Epoch  6, Batch    563, Loss  0.544535, Average Loss  0.540860, Time  0.461793
2021-09-07 06:06:34.871452 : Epoch  6, Batch    564, Loss  0.533561, Average Loss  0.540872, Time  0.461558
2021-09-07 06:06:36.757349 : Epoch  6, Batch    565, Loss  0.543810, Average Loss  0.540883, Time  0.460593
2021-09-07 06:07:40.468123 : CheckPoint: Validation Loss  0.00022189, Best Loss  0.00021621
2021-09-07 06:07:42.355724 : Epoch  6, Batch    566, Loss  0.541620, Average Loss  0.540911, Time  0.461355
2021-09-07 06:07:44.234939 : Epoch  6, Batch    567, Loss  0.525381, Average Loss  0.540796, Time  0.461560
2021-09-07 06:07:46.136142 : Epoch  6, Batch    568, Loss  0.541645, Average Loss  0.540804, Time  0.461724
2021-09-07 06:07:48.025401 : Epoch  6, Batch    569, Loss  0.542946, Average Loss  0.540776, Time  0.461009
2021-09-07 06:07:49.897070 : Epoch  6, Batch    570, Loss  0.543584, Average Loss  0.540833, Time  0.460759
2021-09-07 06:07:51.766146 : Epoch  6, Batch    571, Loss  0.544885, Average Loss  0.540819, Time  0.461436
2021-09-07 06:07:53.650484 : Epoch  6, Batch    572, Loss  0.548002, Average Loss  0.540840, Time  0.462230
2021-09-07 06:07:55.533988 : Epoch  6, Batch    573, Loss  0.526547, Average Loss  0.540807, Time  0.461132
2021-09-07 06:07:57.397488 : Epoch  6, Batch    574, Loss  0.529398, Average Loss  0.540715, Time  0.461305
2021-09-07 06:07:59.280946 : Epoch  6, Batch    575, Loss  0.550344, Average Loss  0.540805, Time  0.461921
2021-09-07 06:08:01.157091 : Epoch  6, Batch    576, Loss  0.536115, Average Loss  0.540759, Time  0.460936
2021-09-07 06:08:03.043182 : Epoch  6, Batch    577, Loss  0.540664, Average Loss  0.540744, Time  0.461390
2021-09-07 06:08:04.927056 : Epoch  6, Batch    578, Loss  0.544766, Average Loss  0.540825, Time  0.462974
2021-09-07 06:08:06.807043 : Epoch  6, Batch    579, Loss  0.533547, Average Loss  0.540769, Time  0.461160
2021-09-07 06:08:08.681303 : Epoch  6, Batch    580, Loss  0.534364, Average Loss  0.540831, Time  0.460576
2021-09-07 06:08:10.552392 : Epoch  6, Batch    581, Loss  0.554125, Average Loss  0.540894, Time  0.461805
2021-09-07 06:08:12.437892 : Epoch  6, Batch    582, Loss  0.537113, Average Loss  0.540840, Time  0.461755
2021-09-07 06:08:14.322137 : Epoch  6, Batch    583, Loss  0.532218, Average Loss  0.540819, Time  0.461056
2021-09-07 06:08:16.203419 : Epoch  6, Batch    584, Loss  0.545602, Average Loss  0.540756, Time  0.460865
2021-09-07 06:08:18.080412 : Epoch  6, Batch    585, Loss  0.557580, Average Loss  0.540866, Time  0.462745
2021-09-07 06:08:19.987746 : Epoch  6, Batch    586, Loss  0.547629, Average Loss  0.540878, Time  0.462005
2021-09-07 06:08:21.855525 : Epoch  6, Batch    587, Loss  0.533664, Average Loss  0.540824, Time  0.461192
2021-09-07 06:08:23.724169 : Epoch  6, Batch    588, Loss  0.540730, Average Loss  0.540857, Time  0.461182
2021-09-07 06:08:25.595848 : Epoch  6, Batch    589, Loss  0.537685, Average Loss  0.540920, Time  0.462392
2021-09-07 06:08:27.487038 : Epoch  6, Batch    590, Loss  0.536012, Average Loss  0.540824, Time  0.461753
2021-09-07 06:08:29.387276 : Epoch  6, Batch    591, Loss  0.530471, Average Loss  0.540715, Time  0.461784
2021-09-07 06:08:31.300956 : Epoch  6, Batch    592, Loss  0.540180, Average Loss  0.540717, Time  0.461802
2021-09-07 06:08:33.192420 : Epoch  6, Batch    593, Loss  0.553909, Average Loss  0.540737, Time  0.461918
2021-09-07 06:08:35.065336 : Epoch  6, Batch    594, Loss  0.542379, Average Loss  0.540683, Time  0.461014
2021-09-07 06:08:36.935426 : Epoch  6, Batch    595, Loss  0.545210, Average Loss  0.540711, Time  0.461344
2021-09-07 06:08:38.831581 : Epoch  6, Batch    596, Loss  0.546454, Average Loss  0.540730, Time  0.461873
2021-09-07 06:08:40.716678 : Epoch  6, Batch    597, Loss  0.540867, Average Loss  0.540726, Time  0.462469
2021-09-07 06:08:42.604952 : Epoch  6, Batch    598, Loss  0.536279, Average Loss  0.540724, Time  0.462342
2021-09-07 06:08:44.492408 : Epoch  6, Batch    599, Loss  0.541149, Average Loss  0.540742, Time  0.461439
2021-09-07 06:08:46.376695 : Epoch  6, Batch    600, Loss  0.528609, Average Loss  0.540649, Time  0.461980
2021-09-07 06:08:48.264502 : Epoch  6, Batch    601, Loss  0.543235, Average Loss  0.540603, Time  0.461139
2021-09-07 06:08:50.139366 : Epoch  6, Batch    602, Loss  0.531179, Average Loss  0.540514, Time  0.461476
2021-09-07 06:08:52.026407 : Epoch  6, Batch    603, Loss  0.546772, Average Loss  0.540579, Time  0.461331
2021-09-07 06:08:53.899387 : Epoch  6, Batch    604, Loss  0.525710, Average Loss  0.540486, Time  0.462643
2021-09-07 06:08:55.787149 : Epoch  6, Batch    605, Loss  0.541467, Average Loss  0.540458, Time  0.462170
2021-09-07 06:08:57.658517 : Epoch  6, Batch    606, Loss  0.537151, Average Loss  0.540382, Time  0.460362
2021-09-07 06:08:59.522722 : Epoch  6, Batch    607, Loss  0.527509, Average Loss  0.540380, Time  0.461578
2021-09-07 06:09:01.383015 : Epoch  6, Batch    608, Loss  0.527322, Average Loss  0.540264, Time  0.460539
2021-09-07 06:09:03.271579 : Epoch  6, Batch    609, Loss  0.546300, Average Loss  0.540278, Time  0.463823
2021-09-07 06:09:05.161126 : Epoch  6, Batch    610, Loss  0.539139, Average Loss  0.540195, Time  0.461951
2021-09-07 06:09:07.028397 : Epoch  6, Batch    611, Loss  0.539074, Average Loss  0.540222, Time  0.461046
2021-09-07 06:09:08.911229 : Epoch  6, Batch    612, Loss  0.530969, Average Loss  0.540185, Time  0.461290
2021-09-07 06:09:10.773647 : Epoch  6, Batch    613, Loss  0.536177, Average Loss  0.540168, Time  0.461061
2021-09-07 06:09:12.649990 : Epoch  6, Batch    614, Loss  0.547428, Average Loss  0.540243, Time  0.463492
2021-09-07 06:09:14.515352 : Epoch  6, Batch    615, Loss  0.528349, Average Loss  0.540183, Time  0.461137
2021-09-07 06:09:16.391700 : Epoch  6, Batch    616, Loss  0.545454, Average Loss  0.540265, Time  0.461754
2021-09-07 06:09:18.263095 : Epoch  6, Batch    617, Loss  0.530411, Average Loss  0.540222, Time  0.461140
2021-09-07 06:09:20.126185 : Epoch  6, Batch    618, Loss  0.547467, Average Loss  0.540329, Time  0.460310
2021-09-07 06:09:21.998130 : Epoch  6, Batch    619, Loss  0.543409, Average Loss  0.540407, Time  0.461268
2021-09-07 06:09:23.865088 : Epoch  6, Batch    620, Loss  0.530558, Average Loss  0.540336, Time  0.461409
2021-09-07 06:09:25.731524 : Epoch  6, Batch    621, Loss  0.533058, Average Loss  0.540233, Time  0.461923
2021-09-07 06:09:27.640500 : Epoch  6, Batch    622, Loss  0.526722, Average Loss  0.540154, Time  0.460745
2021-09-07 06:09:29.533554 : Epoch  6, Batch    623, Loss  0.534702, Average Loss  0.540121, Time  0.461740
2021-09-07 06:09:31.423463 : Epoch  6, Batch    624, Loss  0.546860, Average Loss  0.540101, Time  0.461742
2021-09-07 06:09:33.303795 : Epoch  6, Batch    625, Loss  0.529206, Average Loss  0.540093, Time  0.460847
2021-09-07 06:09:35.183676 : Epoch  6, Batch    626, Loss  0.528265, Average Loss  0.540065, Time  0.461999
2021-09-07 06:09:37.060267 : Epoch  6, Batch    627, Loss  0.558152, Average Loss  0.540087, Time  0.461953
2021-09-07 06:09:38.961541 : Epoch  6, Batch    628, Loss  0.555233, Average Loss  0.540162, Time  0.461482
2021-09-07 06:09:40.833335 : Epoch  6, Batch    629, Loss  0.547215, Average Loss  0.540196, Time  0.461340
2021-09-07 06:09:42.708665 : Epoch  6, Batch    630, Loss  0.544951, Average Loss  0.540234, Time  0.460377
2021-09-07 06:09:44.592926 : Epoch  6, Batch    631, Loss  0.526383, Average Loss  0.540063, Time  0.461774
2021-09-07 06:09:46.479052 : Epoch  6, Batch    632, Loss  0.532945, Average Loss  0.540056, Time  0.462020
2021-09-07 06:09:48.366203 : Epoch  6, Batch    633, Loss  0.534274, Average Loss  0.539946, Time  0.461250
2021-09-07 06:09:50.235624 : Epoch  6, Batch    634, Loss  0.537757, Average Loss  0.539925, Time  0.461888
2021-09-07 06:09:52.109975 : Epoch  6, Batch    635, Loss  0.538949, Average Loss  0.539906, Time  0.461129
2021-09-07 06:09:56.047294 : Epoch  6, Batch    636, Loss  0.541332, Average Loss  0.539873, Time  0.474405
2021-09-07 06:09:57.909098 : Epoch  6, Batch    637, Loss  0.555969, Average Loss  0.539961, Time  0.461650
2021-09-07 06:09:59.784464 : Epoch  6, Batch    638, Loss  0.559540, Average Loss  0.540077, Time  0.461996
2021-09-07 06:10:01.656505 : Epoch  6, Batch    639, Loss  0.541926, Average Loss  0.540085, Time  0.461800
2021-09-07 06:10:03.536499 : Epoch  6, Batch    640, Loss  0.532478, Average Loss  0.540008, Time  0.461984
2021-09-07 06:10:05.418386 : Epoch  6, Batch    641, Loss  0.528689, Average Loss  0.539932, Time  0.461744
2021-09-07 06:10:07.299761 : Epoch  6, Batch    642, Loss  0.547126, Average Loss  0.539949, Time  0.462158
2021-09-07 06:10:09.177953 : Epoch  6, Batch    643, Loss  0.547459, Average Loss  0.540032, Time  0.461553
2021-09-07 06:10:11.047987 : Epoch  6, Batch    644, Loss  0.551432, Average Loss  0.540048, Time  0.460720
2021-09-07 06:10:12.916954 : Epoch  6, Batch    645, Loss  0.547139, Average Loss  0.540146, Time  0.461329
2021-09-07 06:10:14.795052 : Epoch  6, Batch    646, Loss  0.540997, Average Loss  0.540223, Time  0.461626
2021-09-07 06:10:16.679704 : Epoch  6, Batch    647, Loss  0.531861, Average Loss  0.540069, Time  0.461286
2021-09-07 06:10:18.544624 : Epoch  6, Batch    648, Loss  0.559147, Average Loss  0.540191, Time  0.461740
2021-09-07 06:10:20.427442 : Epoch  6, Batch    649, Loss  0.545715, Average Loss  0.540133, Time  0.464943
2021-09-07 06:10:22.332454 : Epoch  6, Batch    650, Loss  0.537641, Average Loss  0.540122, Time  0.461627
2021-09-07 06:10:24.209263 : Epoch  6, Batch    651, Loss  0.542850, Average Loss  0.540144, Time  0.460710
2021-09-07 06:10:26.092848 : Epoch  6, Batch    652, Loss  0.551223, Average Loss  0.540182, Time  0.460638
2021-09-07 06:10:27.957774 : Epoch  6, Batch    653, Loss  0.547471, Average Loss  0.540101, Time  0.461827
2021-09-07 06:10:29.839097 : Epoch  6, Batch    654, Loss  0.548058, Average Loss  0.540145, Time  0.461208
2021-09-07 06:10:31.702212 : Epoch  6, Batch    655, Loss  0.542488, Average Loss  0.540137, Time  0.460566
2021-09-07 06:10:33.565376 : Epoch  6, Batch    656, Loss  0.530774, Average Loss  0.540010, Time  0.461295
2021-09-07 06:10:35.443062 : Epoch  6, Batch    657, Loss  0.542139, Average Loss  0.540015, Time  0.461767
2021-09-07 06:10:37.323201 : Epoch  6, Batch    658, Loss  0.535880, Average Loss  0.539988, Time  0.461106
2021-09-07 06:10:39.197262 : Epoch  6, Batch    659, Loss  0.537179, Average Loss  0.539966, Time  0.461800
2021-09-07 06:10:41.064077 : Epoch  6, Batch    660, Loss  0.536806, Average Loss  0.540026, Time  0.461416
2021-09-07 06:10:42.946710 : Epoch  6, Batch    661, Loss  0.548372, Average Loss  0.540080, Time  0.461496
2021-09-07 06:10:44.821717 : Epoch  6, Batch    662, Loss  0.536162, Average Loss  0.540035, Time  0.462270
2021-09-07 06:10:46.723995 : Epoch  6, Batch    663, Loss  0.535202, Average Loss  0.540029, Time  0.462258
2021-09-07 06:10:48.610317 : Epoch  6, Batch    664, Loss  0.519548, Average Loss  0.540005, Time  0.461361
2021-09-07 06:10:50.485352 : Epoch  6, Batch    665, Loss  0.541921, Average Loss  0.540041, Time  0.461066
2021-09-07 06:11:54.207615 : CheckPoint: Validation Loss  0.00022156, Best Loss  0.00021621
2021-09-07 06:11:56.080757 : Epoch  6, Batch    666, Loss  0.541099, Average Loss  0.540085, Time  0.460927
2021-09-07 06:11:57.955097 : Epoch  6, Batch    667, Loss  0.540424, Average Loss  0.540066, Time  0.460410
2021-09-07 06:11:59.822235 : Epoch  6, Batch    668, Loss  0.530853, Average Loss  0.540022, Time  0.460729
2021-09-07 06:12:01.710032 : Epoch  6, Batch    669, Loss  0.542931, Average Loss  0.539962, Time  0.462050
2021-09-07 06:12:03.600131 : Epoch  6, Batch    670, Loss  0.534873, Average Loss  0.539915, Time  0.462860
2021-09-07 06:12:05.472018 : Epoch  6, Batch    671, Loss  0.545259, Average Loss  0.539900, Time  0.460832
2021-09-07 06:12:07.347031 : Epoch  6, Batch    672, Loss  0.529941, Average Loss  0.539939, Time  0.462037
2021-09-07 06:12:09.235808 : Epoch  6, Batch    673, Loss  0.539087, Average Loss  0.539942, Time  0.461697
2021-09-07 06:12:11.127209 : Epoch  6, Batch    674, Loss  0.549383, Average Loss  0.539902, Time  0.461006
2021-09-07 06:12:12.992225 : Epoch  6, Batch    675, Loss  0.538023, Average Loss  0.539864, Time  0.460658
2021-09-07 06:12:14.856039 : Epoch  6, Batch    676, Loss  0.527316, Average Loss  0.539794, Time  0.460825
2021-09-07 06:12:16.725001 : Epoch  6, Batch    677, Loss  0.552492, Average Loss  0.539903, Time  0.460932
2021-09-07 06:12:18.594680 : Epoch  6, Batch    678, Loss  0.550869, Average Loss  0.539930, Time  0.461890
2021-09-07 06:12:20.459282 : Epoch  6, Batch    679, Loss  0.548736, Average Loss  0.539965, Time  0.461042
2021-09-07 06:12:22.323455 : Epoch  6, Batch    680, Loss  0.533902, Average Loss  0.539908, Time  0.461309
2021-09-07 06:12:24.207704 : Epoch  6, Batch    681, Loss  0.530214, Average Loss  0.539818, Time  0.462600
2021-09-07 06:12:26.084520 : Epoch  6, Batch    682, Loss  0.533194, Average Loss  0.539831, Time  0.461469
2021-09-07 06:12:27.943141 : Epoch  6, Batch    683, Loss  0.544484, Average Loss  0.539840, Time  0.460688
2021-09-07 06:12:29.824663 : Epoch  6, Batch    684, Loss  0.534131, Average Loss  0.539867, Time  0.461397
2021-09-07 06:12:31.690024 : Epoch  6, Batch    685, Loss  0.543259, Average Loss  0.539794, Time  0.460459
2021-09-07 06:12:33.565500 : Epoch  6, Batch    686, Loss  0.550794, Average Loss  0.539901, Time  0.461626
2021-09-07 06:12:35.454549 : Epoch  6, Batch    687, Loss  0.540463, Average Loss  0.539874, Time  0.460867
2021-09-07 06:12:37.324851 : Epoch  6, Batch    688, Loss  0.532165, Average Loss  0.539784, Time  0.461472
2021-09-07 06:12:39.206868 : Epoch  6, Batch    689, Loss  0.535287, Average Loss  0.539730, Time  0.461240
2021-09-07 06:12:41.071922 : Epoch  6, Batch    690, Loss  0.550279, Average Loss  0.539766, Time  0.461648
2021-09-07 06:12:42.932970 : Epoch  6, Batch    691, Loss  0.548579, Average Loss  0.539844, Time  0.460832
2021-09-07 06:12:44.795545 : Epoch  6, Batch    692, Loss  0.535888, Average Loss  0.539788, Time  0.460890
2021-09-07 06:12:46.665021 : Epoch  6, Batch    693, Loss  0.534189, Average Loss  0.539784, Time  0.460877
2021-09-07 06:12:48.529497 : Epoch  6, Batch    694, Loss  0.559686, Average Loss  0.539898, Time  0.460887
2021-09-07 06:12:50.388597 : Epoch  6, Batch    695, Loss  0.549903, Average Loss  0.539943, Time  0.460368
2021-09-07 06:12:52.280196 : Epoch  6, Batch    696, Loss  0.546309, Average Loss  0.539935, Time  0.462135
2021-09-07 06:12:54.153984 : Epoch  6, Batch    697, Loss  0.536514, Average Loss  0.539966, Time  0.460204
2021-09-07 06:12:56.021642 : Epoch  6, Batch    698, Loss  0.542041, Average Loss  0.539979, Time  0.460330
2021-09-07 06:12:57.887249 : Epoch  6, Batch    699, Loss  0.556507, Average Loss  0.540098, Time  0.461124
2021-09-07 06:12:59.752269 : Epoch  6, Batch    700, Loss  0.535119, Average Loss  0.540103, Time  0.460848
2021-09-07 06:13:01.641533 : Epoch  6, Batch    701, Loss  0.548887, Average Loss  0.540198, Time  0.461405
2021-09-07 06:13:03.522103 : Epoch  6, Batch    702, Loss  0.539858, Average Loss  0.540216, Time  0.461427
2021-09-07 06:13:05.413984 : Epoch  6, Batch    703, Loss  0.535605, Average Loss  0.540187, Time  0.461876
2021-09-07 06:13:07.303106 : Epoch  6, Batch    704, Loss  0.537037, Average Loss  0.540198, Time  0.462177
2021-09-07 06:13:09.187223 : Epoch  6, Batch    705, Loss  0.536745, Average Loss  0.540224, Time  0.460563
2021-09-07 06:13:11.053950 : Epoch  6, Batch    706, Loss  0.537643, Average Loss  0.540248, Time  0.460654
2021-09-07 06:13:12.919450 : Epoch  6, Batch    707, Loss  0.553211, Average Loss  0.540272, Time  0.461132
2021-09-07 06:13:14.806282 : Epoch  6, Batch    708, Loss  0.522081, Average Loss  0.540190, Time  0.462473
2021-09-07 06:13:16.696777 : Epoch  6, Batch    709, Loss  0.526457, Average Loss  0.540066, Time  0.461606
2021-09-07 06:13:18.573897 : Epoch  6, Batch    710, Loss  0.540260, Average Loss  0.540067, Time  0.462174
2021-09-07 06:13:20.456625 : Epoch  6, Batch    711, Loss  0.520806, Average Loss  0.539980, Time  0.461380
2021-09-07 06:13:22.341176 : Epoch  6, Batch    712, Loss  0.535180, Average Loss  0.539905, Time  0.460822
2021-09-07 06:13:24.214539 : Epoch  6, Batch    713, Loss  0.536477, Average Loss  0.539867, Time  0.461233
2021-09-07 06:13:26.082430 : Epoch  6, Batch    714, Loss  0.548443, Average Loss  0.539874, Time  0.461011
2021-09-07 06:13:27.963721 : Epoch  6, Batch    715, Loss  0.552401, Average Loss  0.539968, Time  0.462415
2021-09-07 06:13:29.836076 : Epoch  6, Batch    716, Loss  0.563104, Average Loss  0.540151, Time  0.461643
2021-09-07 06:13:31.723876 : Epoch  6, Batch    717, Loss  0.528028, Average Loss  0.540111, Time  0.460706
2021-09-07 06:13:33.598674 : Epoch  6, Batch    718, Loss  0.531659, Average Loss  0.540088, Time  0.463381
2021-09-07 06:13:35.491306 : Epoch  6, Batch    719, Loss  0.524166, Average Loss  0.539984, Time  0.461231
2021-09-07 06:13:37.370068 : Epoch  6, Batch    720, Loss  0.551949, Average Loss  0.540068, Time  0.461954
2021-09-07 06:13:39.257386 : Epoch  6, Batch    721, Loss  0.535976, Average Loss  0.540062, Time  0.460979
2021-09-07 06:13:41.126190 : Epoch  6, Batch    722, Loss  0.525680, Average Loss  0.539993, Time  0.462615
2021-09-07 06:13:42.995952 : Epoch  6, Batch    723, Loss  0.535836, Average Loss  0.539988, Time  0.461660
2021-09-07 06:13:44.917382 : Epoch  6, Batch    724, Loss  0.538103, Average Loss  0.539991, Time  0.461330
2021-09-07 06:13:46.783034 : Epoch  6, Batch    725, Loss  0.529691, Average Loss  0.539882, Time  0.461243
2021-09-07 06:13:48.651902 : Epoch  6, Batch    726, Loss  0.553675, Average Loss  0.540004, Time  0.462200
2021-09-07 06:13:50.546825 : Epoch  6, Batch    727, Loss  0.544784, Average Loss  0.540005, Time  0.463675
2021-09-07 06:13:52.457217 : Epoch  6, Batch    728, Loss  0.539456, Average Loss  0.540041, Time  0.461434
2021-09-07 06:13:54.334324 : Epoch  6, Batch    729, Loss  0.550454, Average Loss  0.540150, Time  0.462142
2021-09-07 06:13:56.215324 : Epoch  6, Batch    730, Loss  0.529227, Average Loss  0.540029, Time  0.461067
2021-09-07 06:13:58.083086 : Epoch  6, Batch    731, Loss  0.551495, Average Loss  0.539993, Time  0.460418
2021-09-07 06:13:59.970169 : Epoch  6, Batch    732, Loss  0.539579, Average Loss  0.540011, Time  0.462048
2021-09-07 06:14:01.856005 : Epoch  6, Batch    733, Loss  0.543355, Average Loss  0.540094, Time  0.461907
2021-09-07 06:14:03.745046 : Epoch  6, Batch    734, Loss  0.538859, Average Loss  0.540108, Time  0.461918
2021-09-07 06:14:05.645647 : Epoch  6, Batch    735, Loss  0.532124, Average Loss  0.539991, Time  0.461504
2021-09-07 06:14:09.658061 : Epoch  6, Batch    736, Loss  0.531145, Average Loss  0.539905, Time  0.469049
2021-09-07 06:14:11.582414 : Epoch  6, Batch    737, Loss  0.534547, Average Loss  0.539924, Time  0.462398
2021-09-07 06:14:13.488905 : Epoch  6, Batch    738, Loss  0.532468, Average Loss  0.539801, Time  0.462306
2021-09-07 06:14:15.360071 : Epoch  6, Batch    739, Loss  0.537260, Average Loss  0.539820, Time  0.461153
2021-09-07 06:14:17.226740 : Epoch  6, Batch    740, Loss  0.532975, Average Loss  0.539767, Time  0.462223
2021-09-07 06:14:19.092821 : Epoch  6, Batch    741, Loss  0.551860, Average Loss  0.539812, Time  0.460706
2021-09-07 06:14:20.967490 : Epoch  6, Batch    742, Loss  0.543005, Average Loss  0.539787, Time  0.460522
2021-09-07 06:14:22.840279 : Epoch  6, Batch    743, Loss  0.538821, Average Loss  0.539748, Time  0.461226
2021-09-07 06:14:24.709685 : Epoch  6, Batch    744, Loss  0.534646, Average Loss  0.539695, Time  0.461312
2021-09-07 06:14:26.585003 : Epoch  6, Batch    745, Loss  0.533409, Average Loss  0.539605, Time  0.461396
2021-09-07 06:14:28.451144 : Epoch  6, Batch    746, Loss  0.538680, Average Loss  0.539658, Time  0.461020
2021-09-07 06:14:30.318184 : Epoch  6, Batch    747, Loss  0.544032, Average Loss  0.539682, Time  0.461435
2021-09-07 06:14:32.190099 : Epoch  6, Batch    748, Loss  0.531485, Average Loss  0.539638, Time  0.461002
2021-09-07 06:14:34.074654 : Epoch  6, Batch    749, Loss  0.533881, Average Loss  0.539576, Time  0.460843
2021-09-07 06:14:35.937542 : Epoch  6, Batch    750, Loss  0.544794, Average Loss  0.539629, Time  0.461683
2021-09-07 06:14:37.822798 : Epoch  6, Batch    751, Loss  0.538708, Average Loss  0.539645, Time  0.462589
2021-09-07 06:14:39.693799 : Epoch  6, Batch    752, Loss  0.545103, Average Loss  0.539671, Time  0.462116
2021-09-07 06:14:39.890780 : Epoch  6, Batch    753, Loss  0.635280, Average Loss  0.540206, Time  0.159587
2021-09-07 06:14:41.763043 : Epoch  6, Batch    754, Loss  0.542568, Average Loss  0.540237, Time  0.461234
2021-09-07 06:14:43.632768 : Epoch  6, Batch    755, Loss  0.537697, Average Loss  0.540295, Time  0.461306
2021-09-07 06:14:45.515292 : Epoch  6, Batch    756, Loss  0.556809, Average Loss  0.540454, Time  0.461206
2021-09-07 06:14:47.378940 : Epoch  6, Batch    757, Loss  0.547272, Average Loss  0.540465, Time  0.461647
2021-09-07 06:14:49.262545 : Epoch  6, Batch    758, Loss  0.542049, Average Loss  0.540501, Time  0.461812
2021-09-07 06:14:51.134046 : Epoch  6, Batch    759, Loss  0.552201, Average Loss  0.540522, Time  0.461777
2021-09-07 06:14:53.016699 : Epoch  6, Batch    760, Loss  0.543302, Average Loss  0.540541, Time  0.461354
2021-09-07 06:14:54.908770 : Epoch  6, Batch    761, Loss  0.567941, Average Loss  0.540686, Time  0.462513
2021-09-07 06:14:56.796863 : Epoch  6, Batch    762, Loss  0.548427, Average Loss  0.540703, Time  0.461693
2021-09-07 06:14:58.669662 : Epoch  6, Batch    763, Loss  0.549165, Average Loss  0.540727, Time  0.461472
2021-09-07 06:15:00.557967 : Epoch  6, Batch    764, Loss  0.560317, Average Loss  0.540860, Time  0.461059
2021-09-07 06:15:02.446706 : Epoch  6, Batch    765, Loss  0.546011, Average Loss  0.540871, Time  0.462085
2021-09-07 06:16:06.489517 : CheckPoint: Validation Loss  0.00023265, Best Loss  0.00021621
2021-09-07 06:16:08.382071 : Epoch  6, Batch    766, Loss  0.539830, Average Loss  0.540862, Time  0.461735
2021-09-07 06:16:10.254259 : Epoch  6, Batch    767, Loss  0.539305, Average Loss  0.540932, Time  0.461829
2021-09-07 06:16:12.150036 : Epoch  6, Batch    768, Loss  0.540983, Average Loss  0.540929, Time  0.460758
2021-09-07 06:16:14.027687 : Epoch  6, Batch    769, Loss  0.530185, Average Loss  0.540865, Time  0.461307
2021-09-07 06:16:15.923824 : Epoch  6, Batch    770, Loss  0.544719, Average Loss  0.540871, Time  0.461866
2021-09-07 06:16:17.798137 : Epoch  6, Batch    771, Loss  0.536973, Average Loss  0.540831, Time  0.461277
2021-09-07 06:16:19.681813 : Epoch  6, Batch    772, Loss  0.548065, Average Loss  0.540831, Time  0.461614
2021-09-07 06:16:21.569210 : Epoch  6, Batch    773, Loss  0.539603, Average Loss  0.540897, Time  0.461738
2021-09-07 06:16:23.448198 : Epoch  6, Batch    774, Loss  0.531470, Average Loss  0.540907, Time  0.461700
2021-09-07 06:16:25.347284 : Epoch  6, Batch    775, Loss  0.542037, Average Loss  0.540866, Time  0.465787
2021-09-07 06:16:27.249445 : Epoch  6, Batch    776, Loss  0.547745, Average Loss  0.540924, Time  0.462049
2021-09-07 06:16:29.119273 : Epoch  6, Batch    777, Loss  0.554068, Average Loss  0.540991, Time  0.462457
2021-09-07 06:16:31.041259 : Epoch  6, Batch    778, Loss  0.538427, Average Loss  0.540959, Time  0.462636
2021-09-07 06:16:32.932455 : Epoch  6, Batch    779, Loss  0.533981, Average Loss  0.540961, Time  0.460451
2021-09-07 06:16:34.807708 : Epoch  6, Batch    780, Loss  0.545014, Average Loss  0.541014, Time  0.461222
2021-09-07 06:16:36.683297 : Epoch  6, Batch    781, Loss  0.538660, Average Loss  0.540937, Time  0.460935
2021-09-07 06:16:38.558664 : Epoch  6, Batch    782, Loss  0.543255, Average Loss  0.540968, Time  0.461583
2021-09-07 06:16:40.440192 : Epoch  6, Batch    783, Loss  0.545632, Average Loss  0.541035, Time  0.460710
2021-09-07 06:16:42.323774 : Epoch  6, Batch    784, Loss  0.527550, Average Loss  0.540945, Time  0.461647
2021-09-07 06:16:44.208688 : Epoch  6, Batch    785, Loss  0.541191, Average Loss  0.540863, Time  0.461981
2021-09-07 06:16:46.075237 : Epoch  6, Batch    786, Loss  0.554623, Average Loss  0.540898, Time  0.461038
2021-09-07 06:16:47.950774 : Epoch  6, Batch    787, Loss  0.527743, Average Loss  0.540868, Time  0.461016
2021-09-07 06:16:47.980735 : Saving Model after 6-th Epoch.
2021-09-07 06:16:52.064283 : Epoch Finished.
2021-09-07 06:16:54.159659 : Batch Shuffled
2021-09-07 06:16:56.041111 : Epoch  7, Batch      1, Loss  0.531554, Average Loss  0.540822, Time  0.471354
2021-09-07 06:16:57.904433 : Epoch  7, Batch      2, Loss  0.530376, Average Loss  0.540786, Time  0.461217
2021-09-07 06:16:59.766852 : Epoch  7, Batch      3, Loss  0.540603, Average Loss  0.540809, Time  0.460802
2021-09-07 06:17:01.658357 : Epoch  7, Batch      4, Loss  0.537693, Average Loss  0.540845, Time  0.462313
2021-09-07 06:17:03.540225 : Epoch  7, Batch      5, Loss  0.560327, Average Loss  0.540945, Time  0.461844
2021-09-07 06:17:05.409555 : Epoch  7, Batch      6, Loss  0.544224, Average Loss  0.540897, Time  0.463921
2021-09-07 06:17:07.278580 : Epoch  7, Batch      7, Loss  0.551813, Average Loss  0.540944, Time  0.461612
2021-09-07 06:17:09.142010 : Epoch  7, Batch      8, Loss  0.546943, Average Loss  0.540953, Time  0.461229
2021-09-07 06:17:11.028240 : Epoch  7, Batch      9, Loss  0.548329, Average Loss  0.540962, Time  0.462043
2021-09-07 06:17:12.893489 : Epoch  7, Batch     10, Loss  0.539667, Average Loss  0.540956, Time  0.461778
2021-09-07 06:17:14.784971 : Epoch  7, Batch     11, Loss  0.536018, Average Loss  0.540955, Time  0.464712
2021-09-07 06:17:16.649845 : Epoch  7, Batch     12, Loss  0.546853, Average Loss  0.540983, Time  0.460706
2021-09-07 06:17:18.559752 : Epoch  7, Batch     13, Loss  0.532139, Average Loss  0.541001, Time  0.462202
2021-09-07 06:17:20.444058 : Epoch  7, Batch     14, Loss  0.539611, Average Loss  0.540983, Time  0.461806
2021-09-07 06:17:22.344399 : Epoch  7, Batch     15, Loss  0.545739, Average Loss  0.541056, Time  0.460950
2021-09-07 06:17:24.206174 : Epoch  7, Batch     16, Loss  0.536982, Average Loss  0.541007, Time  0.460858
2021-09-07 06:17:26.086104 : Epoch  7, Batch     17, Loss  0.528686, Average Loss  0.541022, Time  0.461185
2021-09-07 06:17:27.974772 : Epoch  7, Batch     18, Loss  0.540447, Average Loss  0.541017, Time  0.461713
2021-09-07 06:17:29.848808 : Epoch  7, Batch     19, Loss  0.545075, Average Loss  0.541056, Time  0.462661
2021-09-07 06:17:31.736200 : Epoch  7, Batch     20, Loss  0.547705, Average Loss  0.541157, Time  0.461038
2021-09-07 06:17:33.606826 : Epoch  7, Batch     21, Loss  0.537266, Average Loss  0.541207, Time  0.462146
2021-09-07 06:17:35.474033 : Epoch  7, Batch     22, Loss  0.537196, Average Loss  0.541161, Time  0.460639
2021-09-07 06:17:37.348516 : Epoch  7, Batch     23, Loss  0.544198, Average Loss  0.541187, Time  0.462218
2021-09-07 06:17:39.212428 : Epoch  7, Batch     24, Loss  0.549516, Average Loss  0.541239, Time  0.462021
2021-09-07 06:17:41.096746 : Epoch  7, Batch     25, Loss  0.538561, Average Loss  0.541277, Time  0.462523
2021-09-07 06:17:42.970144 : Epoch  7, Batch     26, Loss  0.545050, Average Loss  0.541321, Time  0.463804
2021-09-07 06:17:44.869840 : Epoch  7, Batch     27, Loss  0.558490, Average Loss  0.541376, Time  0.461164
2021-09-07 06:17:46.767968 : Epoch  7, Batch     28, Loss  0.541137, Average Loss  0.541440, Time  0.462082
2021-09-07 06:17:48.666498 : Epoch  7, Batch     29, Loss  0.537166, Average Loss  0.541399, Time  0.462258
2021-09-07 06:17:50.541517 : Epoch  7, Batch     30, Loss  0.545728, Average Loss  0.541476, Time  0.461479
2021-09-07 06:17:52.446017 : Epoch  7, Batch     31, Loss  0.541283, Average Loss  0.541445, Time  0.460835
2021-09-07 06:17:54.313387 : Epoch  7, Batch     32, Loss  0.525434, Average Loss  0.541355, Time  0.461139
2021-09-07 06:17:56.197275 : Epoch  7, Batch     33, Loss  0.533598, Average Loss  0.541370, Time  0.461140
2021-09-07 06:17:58.062423 : Epoch  7, Batch     34, Loss  0.539555, Average Loss  0.541402, Time  0.461958
2021-09-07 06:17:59.933265 : Epoch  7, Batch     35, Loss  0.545286, Average Loss  0.541495, Time  0.460458
2021-09-07 06:18:01.853467 : Epoch  7, Batch     36, Loss  0.535430, Average Loss  0.541499, Time  0.462155
2021-09-07 06:18:03.723996 : Epoch  7, Batch     37, Loss  0.544638, Average Loss  0.541488, Time  0.460849
2021-09-07 06:18:05.593240 : Epoch  7, Batch     38, Loss  0.534196, Average Loss  0.541513, Time  0.461326
2021-09-07 06:18:07.468499 : Epoch  7, Batch     39, Loss  0.540083, Average Loss  0.541572, Time  0.460419
2021-09-07 06:18:09.338431 : Epoch  7, Batch     40, Loss  0.534036, Average Loss  0.541451, Time  0.461696
2021-09-07 06:18:11.203459 : Epoch  7, Batch     41, Loss  0.529028, Average Loss  0.541320, Time  0.461393
2021-09-07 06:18:13.079536 : Epoch  7, Batch     42, Loss  0.532958, Average Loss  0.541249, Time  0.460890
2021-09-07 06:18:14.956428 : Epoch  7, Batch     43, Loss  0.534467, Average Loss  0.541197, Time  0.461201
2021-09-07 06:18:16.824106 : Epoch  7, Batch     44, Loss  0.531026, Average Loss  0.541220, Time  0.462110
2021-09-07 06:18:18.691989 : Epoch  7, Batch     45, Loss  0.543136, Average Loss  0.541271, Time  0.461595
2021-09-07 06:18:20.578139 : Epoch  7, Batch     46, Loss  0.534660, Average Loss  0.541273, Time  0.461781
2021-09-07 06:18:22.459005 : Epoch  7, Batch     47, Loss  0.543687, Average Loss  0.541302, Time  0.461195
2021-09-07 06:18:24.322016 : Epoch  7, Batch     48, Loss  0.547887, Average Loss  0.541347, Time  0.461050
2021-09-07 06:18:26.186590 : Epoch  7, Batch     49, Loss  0.519571, Average Loss  0.541238, Time  0.460789
2021-09-07 06:18:28.075449 : Epoch  7, Batch     50, Loss  0.526383, Average Loss  0.541090, Time  0.461689
2021-09-07 06:18:29.947243 : Epoch  7, Batch     51, Loss  0.535675, Average Loss  0.540971, Time  0.461256
2021-09-07 06:18:31.818965 : Epoch  7, Batch     52, Loss  0.539037, Average Loss  0.540956, Time  0.461477
2021-09-07 06:18:33.681980 : Epoch  7, Batch     53, Loss  0.536330, Average Loss  0.540976, Time  0.460516
2021-09-07 06:18:35.568967 : Epoch  7, Batch     54, Loss  0.521458, Average Loss  0.540940, Time  0.461683
2021-09-07 06:18:37.458796 : Epoch  7, Batch     55, Loss  0.550351, Average Loss  0.540956, Time  0.462159
2021-09-07 06:18:39.350137 : Epoch  7, Batch     56, Loss  0.539350, Average Loss  0.540915, Time  0.461472
2021-09-07 06:18:41.226649 : Epoch  7, Batch     57, Loss  0.533943, Average Loss  0.540828, Time  0.461552
2021-09-07 06:18:43.110411 : Epoch  7, Batch     58, Loss  0.547251, Average Loss  0.540828, Time  0.460254
2021-09-07 06:18:44.991927 : Epoch  7, Batch     59, Loss  0.543702, Average Loss  0.540842, Time  0.460430
2021-09-07 06:18:46.859277 : Epoch  7, Batch     60, Loss  0.537725, Average Loss  0.540871, Time  0.463109
2021-09-07 06:18:48.725916 : Epoch  7, Batch     61, Loss  0.531548, Average Loss  0.540733, Time  0.460855
2021-09-07 06:18:50.593081 : Epoch  7, Batch     62, Loss  0.547396, Average Loss  0.540742, Time  0.461040
2021-09-07 06:18:52.487209 : Epoch  7, Batch     63, Loss  0.537762, Average Loss  0.540742, Time  0.461924
2021-09-07 06:18:54.376853 : Epoch  7, Batch     64, Loss  0.522961, Average Loss  0.540643, Time  0.462661
2021-09-07 06:18:56.267731 : Epoch  7, Batch     65, Loss  0.520194, Average Loss  0.540488, Time  0.461703
2021-09-07 06:18:58.151509 : Epoch  7, Batch     66, Loss  0.543674, Average Loss  0.540469, Time  0.461100
2021-09-07 06:19:00.043164 : Epoch  7, Batch     67, Loss  0.553284, Average Loss  0.540495, Time  0.461850
2021-09-07 06:19:01.910847 : Epoch  7, Batch     68, Loss  0.527859, Average Loss  0.540422, Time  0.460978
2021-09-07 06:19:03.780928 : Epoch  7, Batch     69, Loss  0.547477, Average Loss  0.540505, Time  0.460481
2021-09-07 06:19:05.652734 : Epoch  7, Batch     70, Loss  0.543498, Average Loss  0.540512, Time  0.462000
2021-09-07 06:19:07.528189 : Epoch  7, Batch     71, Loss  0.546766, Average Loss  0.540566, Time  0.461188
2021-09-07 06:19:09.414929 : Epoch  7, Batch     72, Loss  0.538469, Average Loss  0.540573, Time  0.462012
2021-09-07 06:19:11.312766 : Epoch  7, Batch     73, Loss  0.542061, Average Loss  0.540599, Time  0.461939
2021-09-07 06:19:13.201859 : Epoch  7, Batch     74, Loss  0.545084, Average Loss  0.540583, Time  0.460807
2021-09-07 06:19:15.069681 : Epoch  7, Batch     75, Loss  0.534818, Average Loss  0.540576, Time  0.461157
2021-09-07 06:19:16.954664 : Epoch  7, Batch     76, Loss  0.529161, Average Loss  0.540546, Time  0.461803
2021-09-07 06:19:18.830756 : Epoch  7, Batch     77, Loss  0.539637, Average Loss  0.540646, Time  0.461281
2021-09-07 06:19:20.701081 : Epoch  7, Batch     78, Loss  0.549883, Average Loss  0.540686, Time  0.460467
2021-09-07 06:20:24.657865 : CheckPoint: Validation Loss  0.00022387, Best Loss  0.00021621
2021-09-07 06:20:26.526637 : Epoch  7, Batch     79, Loss  0.544694, Average Loss  0.540704, Time  0.461291
2021-09-07 06:20:28.393931 : Epoch  7, Batch     80, Loss  0.542690, Average Loss  0.540715, Time  0.460788
2021-09-07 06:20:30.257205 : Epoch  7, Batch     81, Loss  0.542883, Average Loss  0.540775, Time  0.461033
2021-09-07 06:20:32.141343 : Epoch  7, Batch     82, Loss  0.552622, Average Loss  0.540824, Time  0.460849
2021-09-07 06:20:34.026189 : Epoch  7, Batch     83, Loss  0.542147, Average Loss  0.540860, Time  0.460715
2021-09-07 06:20:35.890590 : Epoch  7, Batch     84, Loss  0.533591, Average Loss  0.540802, Time  0.461264
2021-09-07 06:20:37.767821 : Epoch  7, Batch     85, Loss  0.537210, Average Loss  0.540838, Time  0.460874
2021-09-07 06:20:39.653380 : Epoch  7, Batch     86, Loss  0.538531, Average Loss  0.540835, Time  0.461813
2021-09-07 06:20:41.535839 : Epoch  7, Batch     87, Loss  0.539755, Average Loss  0.540787, Time  0.460208
2021-09-07 06:20:43.400881 : Epoch  7, Batch     88, Loss  0.540918, Average Loss  0.540802, Time  0.460944
2021-09-07 06:20:45.262764 : Epoch  7, Batch     89, Loss  0.538376, Average Loss  0.540857, Time  0.461620
2021-09-07 06:20:47.148024 : Epoch  7, Batch     90, Loss  0.554254, Average Loss  0.540866, Time  0.461585
2021-09-07 06:20:49.018158 : Epoch  7, Batch     91, Loss  0.543122, Average Loss  0.540827, Time  0.461167
2021-09-07 06:20:50.889734 : Epoch  7, Batch     92, Loss  0.546122, Average Loss  0.540814, Time  0.460833
2021-09-07 06:20:52.769479 : Epoch  7, Batch     93, Loss  0.541679, Average Loss  0.540853, Time  0.460765
2021-09-07 06:20:54.635563 : Epoch  7, Batch     94, Loss  0.531732, Average Loss  0.540861, Time  0.461037
2021-09-07 06:20:56.507103 : Epoch  7, Batch     95, Loss  0.537787, Average Loss  0.540884, Time  0.460673
2021-09-07 06:20:58.375119 : Epoch  7, Batch     96, Loss  0.533052, Average Loss  0.540826, Time  0.462766
2021-09-07 06:21:00.256770 : Epoch  7, Batch     97, Loss  0.554157, Average Loss  0.540926, Time  0.461073
2021-09-07 06:21:02.124253 : Epoch  7, Batch     98, Loss  0.528122, Average Loss  0.540851, Time  0.460434
2021-09-07 06:21:03.989472 : Epoch  7, Batch     99, Loss  0.557549, Average Loss  0.540885, Time  0.460737
2021-09-07 06:21:05.858181 : Epoch  7, Batch    100, Loss  0.530593, Average Loss  0.540835, Time  0.461600
2021-09-07 06:21:07.721869 : Epoch  7, Batch    101, Loss  0.539504, Average Loss  0.540872, Time  0.461814
2021-09-07 06:21:09.604918 : Epoch  7, Batch    102, Loss  0.538468, Average Loss  0.540888, Time  0.461640
2021-09-07 06:21:11.493259 : Epoch  7, Batch    103, Loss  0.534371, Average Loss  0.540808, Time  0.461391
2021-09-07 06:21:13.369053 : Epoch  7, Batch    104, Loss  0.531313, Average Loss  0.540722, Time  0.460761
2021-09-07 06:21:15.241059 : Epoch  7, Batch    105, Loss  0.531856, Average Loss  0.540702, Time  0.461370
2021-09-07 06:21:17.128465 : Epoch  7, Batch    106, Loss  0.539959, Average Loss  0.540731, Time  0.462320
2021-09-07 06:21:19.015221 : Epoch  7, Batch    107, Loss  0.533270, Average Loss  0.540599, Time  0.461939
2021-09-07 06:21:20.905479 : Epoch  7, Batch    108, Loss  0.548017, Average Loss  0.540589, Time  0.462240
2021-09-07 06:21:22.791652 : Epoch  7, Batch    109, Loss  0.532479, Average Loss  0.540520, Time  0.461449
2021-09-07 06:21:24.689817 : Epoch  7, Batch    110, Loss  0.544867, Average Loss  0.540562, Time  0.461484
2021-09-07 06:21:26.555435 : Epoch  7, Batch    111, Loss  0.535311, Average Loss  0.540528, Time  0.461351
2021-09-07 06:21:28.438993 : Epoch  7, Batch    112, Loss  0.549329, Average Loss  0.540492, Time  0.461281
2021-09-07 06:21:30.323858 : Epoch  7, Batch    113, Loss  0.533678, Average Loss  0.540485, Time  0.461846
2021-09-07 06:21:32.205869 : Epoch  7, Batch    114, Loss  0.551295, Average Loss  0.540497, Time  0.460381
2021-09-07 06:21:34.075965 : Epoch  7, Batch    115, Loss  0.535878, Average Loss  0.540477, Time  0.462060
2021-09-07 06:21:35.952937 : Epoch  7, Batch    116, Loss  0.527574, Average Loss  0.540437, Time  0.460998
2021-09-07 06:21:37.822381 : Epoch  7, Batch    117, Loss  0.530171, Average Loss  0.540403, Time  0.461195
2021-09-07 06:21:39.688957 : Epoch  7, Batch    118, Loss  0.524957, Average Loss  0.540344, Time  0.460917
2021-09-07 06:21:41.559736 : Epoch  7, Batch    119, Loss  0.555206, Average Loss  0.540432, Time  0.460636
2021-09-07 06:21:43.446109 : Epoch  7, Batch    120, Loss  0.525130, Average Loss  0.540291, Time  0.461884
2021-09-07 06:21:45.336338 : Epoch  7, Batch    121, Loss  0.538893, Average Loss  0.540375, Time  0.461689
2021-09-07 06:21:47.222846 : Epoch  7, Batch    122, Loss  0.528560, Average Loss  0.540386, Time  0.462298
2021-09-07 06:21:49.107994 : Epoch  7, Batch    123, Loss  0.541657, Average Loss  0.540393, Time  0.461268
2021-09-07 06:21:50.993355 : Epoch  7, Batch    124, Loss  0.539364, Average Loss  0.540485, Time  0.461549
2021-09-07 06:21:52.871203 : Epoch  7, Batch    125, Loss  0.538829, Average Loss  0.540504, Time  0.460601
2021-09-07 06:21:54.742498 : Epoch  7, Batch    126, Loss  0.547720, Average Loss  0.540560, Time  0.461629
2021-09-07 06:21:56.626715 : Epoch  7, Batch    127, Loss  0.543813, Average Loss  0.540537, Time  0.460578
2021-09-07 06:21:58.494609 : Epoch  7, Batch    128, Loss  0.545576, Average Loss  0.540503, Time  0.461316
2021-09-07 06:22:00.372796 : Epoch  7, Batch    129, Loss  0.534290, Average Loss  0.540359, Time  0.460608
2021-09-07 06:22:02.241032 : Epoch  7, Batch    130, Loss  0.550790, Average Loss  0.540472, Time  0.461514
2021-09-07 06:22:04.112985 : Epoch  7, Batch    131, Loss  0.542380, Average Loss  0.540526, Time  0.460952
2021-09-07 06:22:05.984431 : Epoch  7, Batch    132, Loss  0.534591, Average Loss  0.540578, Time  0.460660
2021-09-07 06:22:07.854944 : Epoch  7, Batch    133, Loss  0.544819, Average Loss  0.540542, Time  0.461329
2021-09-07 06:22:09.742039 : Epoch  7, Batch    134, Loss  0.530638, Average Loss  0.540516, Time  0.461581
2021-09-07 06:22:11.611370 : Epoch  7, Batch    135, Loss  0.563294, Average Loss  0.540704, Time  0.460670
2021-09-07 06:22:13.483516 : Epoch  7, Batch    136, Loss  0.532666, Average Loss  0.540688, Time  0.461155
2021-09-07 06:22:15.347527 : Epoch  7, Batch    137, Loss  0.529495, Average Loss  0.540645, Time  0.461296
2021-09-07 06:22:17.234010 : Epoch  7, Batch    138, Loss  0.534338, Average Loss  0.540668, Time  0.461722
2021-09-07 06:22:19.120700 : Epoch  7, Batch    139, Loss  0.539282, Average Loss  0.540596, Time  0.462661
2021-09-07 06:22:20.994370 : Epoch  7, Batch    140, Loss  0.524077, Average Loss  0.540493, Time  0.461098
2021-09-07 06:22:22.880009 : Epoch  7, Batch    141, Loss  0.539398, Average Loss  0.540492, Time  0.460887
2021-09-07 06:22:24.752638 : Epoch  7, Batch    142, Loss  0.546645, Average Loss  0.540473, Time  0.461363
2021-09-07 06:22:26.622018 : Epoch  7, Batch    143, Loss  0.540637, Average Loss  0.540530, Time  0.460926
2021-09-07 06:22:28.484707 : Epoch  7, Batch    144, Loss  0.545250, Average Loss  0.540499, Time  0.461173
2021-09-07 06:22:30.363385 : Epoch  7, Batch    145, Loss  0.537256, Average Loss  0.540488, Time  0.461818
2021-09-07 06:22:32.255472 : Epoch  7, Batch    146, Loss  0.539717, Average Loss  0.540469, Time  0.461744
2021-09-07 06:22:34.155654 : Epoch  7, Batch    147, Loss  0.538304, Average Loss  0.540467, Time  0.462204
2021-09-07 06:22:36.038516 : Epoch  7, Batch    148, Loss  0.531020, Average Loss  0.540461, Time  0.460828
2021-09-07 06:22:40.016751 : Epoch  7, Batch    149, Loss  0.533326, Average Loss  0.540472, Time  0.469587
2021-09-07 06:22:41.906397 : Epoch  7, Batch    150, Loss  0.535623, Average Loss  0.540477, Time  0.462001
2021-09-07 06:22:43.788041 : Epoch  7, Batch    151, Loss  0.538801, Average Loss  0.540509, Time  0.462095
2021-09-07 06:22:45.663791 : Epoch  7, Batch    152, Loss  0.541433, Average Loss  0.540530, Time  0.461719
2021-09-07 06:22:47.528141 : Epoch  7, Batch    153, Loss  0.530023, Average Loss  0.540515, Time  0.460635
2021-09-07 06:22:49.395429 : Epoch  7, Batch    154, Loss  0.527652, Average Loss  0.540394, Time  0.462696
2021-09-07 06:22:51.280563 : Epoch  7, Batch    155, Loss  0.548374, Average Loss  0.540421, Time  0.460969
2021-09-07 06:22:53.149818 : Epoch  7, Batch    156, Loss  0.546324, Average Loss  0.540458, Time  0.461615
2021-09-07 06:22:55.025862 : Epoch  7, Batch    157, Loss  0.536839, Average Loss  0.540469, Time  0.461156
2021-09-07 06:22:56.908543 : Epoch  7, Batch    158, Loss  0.524012, Average Loss  0.540422, Time  0.461807
2021-09-07 06:22:58.798230 : Epoch  7, Batch    159, Loss  0.526783, Average Loss  0.540363, Time  0.462412
2021-09-07 06:23:00.687051 : Epoch  7, Batch    160, Loss  0.542668, Average Loss  0.540356, Time  0.461243
2021-09-07 06:23:02.547071 : Epoch  7, Batch    161, Loss  0.527626, Average Loss  0.540337, Time  0.460782
2021-09-07 06:23:04.459569 : Epoch  7, Batch    162, Loss  0.540697, Average Loss  0.540371, Time  0.461704
2021-09-07 06:23:06.338245 : Epoch  7, Batch    163, Loss  0.533877, Average Loss  0.540316, Time  0.461789
2021-09-07 06:23:08.219013 : Epoch  7, Batch    164, Loss  0.527259, Average Loss  0.540259, Time  0.460070
2021-09-07 06:23:10.087722 : Epoch  7, Batch    165, Loss  0.539343, Average Loss  0.540230, Time  0.461606
2021-09-07 06:23:11.956837 : Epoch  7, Batch    166, Loss  0.527305, Average Loss  0.539690, Time  0.460382
2021-09-07 06:23:13.822204 : Epoch  7, Batch    167, Loss  0.530486, Average Loss  0.539630, Time  0.460723
2021-09-07 06:23:15.711823 : Epoch  7, Batch    168, Loss  0.535012, Average Loss  0.539617, Time  0.461074
2021-09-07 06:23:17.577615 : Epoch  7, Batch    169, Loss  0.541071, Average Loss  0.539538, Time  0.461721
2021-09-07 06:23:19.449689 : Epoch  7, Batch    170, Loss  0.526615, Average Loss  0.539435, Time  0.461587
2021-09-07 06:23:21.327628 : Epoch  7, Batch    171, Loss  0.534141, Average Loss  0.539395, Time  0.460992
2021-09-07 06:23:23.208040 : Epoch  7, Batch    172, Loss  0.547453, Average Loss  0.539371, Time  0.461557
2021-09-07 06:23:25.087275 : Epoch  7, Batch    173, Loss  0.526094, Average Loss  0.539285, Time  0.461017
2021-09-07 06:23:26.966409 : Epoch  7, Batch    174, Loss  0.540813, Average Loss  0.539150, Time  0.460772
2021-09-07 06:23:28.833869 : Epoch  7, Batch    175, Loss  0.542975, Average Loss  0.539122, Time  0.461427
2021-09-07 06:23:30.711974 : Epoch  7, Batch    176, Loss  0.530958, Average Loss  0.539031, Time  0.461566
2021-09-07 06:23:32.595853 : Epoch  7, Batch    177, Loss  0.529700, Average Loss  0.538878, Time  0.461427
2021-09-07 06:23:34.479532 : Epoch  7, Batch    178, Loss  0.533683, Average Loss  0.538817, Time  0.463354
2021-09-07 06:24:38.398622 : CheckPoint: Validation Loss  0.00021856, Best Loss  0.00021621
2021-09-07 06:24:40.267195 : Epoch  7, Batch    179, Loss  0.535135, Average Loss  0.538793, Time  0.461553
2021-09-07 06:24:42.135280 : Epoch  7, Batch    180, Loss  0.549678, Average Loss  0.538845, Time  0.460704
2021-09-07 06:24:44.019287 : Epoch  7, Batch    181, Loss  0.547168, Average Loss  0.538876, Time  0.461282
2021-09-07 06:24:45.906470 : Epoch  7, Batch    182, Loss  0.537885, Average Loss  0.538914, Time  0.461843
2021-09-07 06:24:47.792314 : Epoch  7, Batch    183, Loss  0.536199, Average Loss  0.538872, Time  0.460715
2021-09-07 06:24:49.665917 : Epoch  7, Batch    184, Loss  0.555291, Average Loss  0.538963, Time  0.462290
2021-09-07 06:24:51.547150 : Epoch  7, Batch    185, Loss  0.531542, Average Loss  0.538881, Time  0.461292
2021-09-07 06:24:53.421178 : Epoch  7, Batch    186, Loss  0.547396, Average Loss  0.538920, Time  0.460998
2021-09-07 06:24:55.299167 : Epoch  7, Batch    187, Loss  0.545990, Average Loss  0.538992, Time  0.461756
2021-09-07 06:24:57.185701 : Epoch  7, Batch    188, Loss  0.543991, Average Loss  0.539002, Time  0.462469
2021-09-07 06:24:59.063980 : Epoch  7, Batch    189, Loss  0.543013, Average Loss  0.538979, Time  0.461549
2021-09-07 06:25:00.944214 : Epoch  7, Batch    190, Loss  0.544780, Average Loss  0.538932, Time  0.460912
2021-09-07 06:25:02.824060 : Epoch  7, Batch    191, Loss  0.537801, Average Loss  0.538929, Time  0.462125
2021-09-07 06:25:04.702974 : Epoch  7, Batch    192, Loss  0.546709, Average Loss  0.538993, Time  0.461323
2021-09-07 06:25:06.581356 : Epoch  7, Batch    193, Loss  0.542510, Average Loss  0.538980, Time  0.461186
2021-09-07 06:25:08.455410 : Epoch  7, Batch    194, Loss  0.537236, Average Loss  0.538973, Time  0.463599
2021-09-07 06:25:10.329496 : Epoch  7, Batch    195, Loss  0.536098, Average Loss  0.538937, Time  0.461705
2021-09-07 06:25:12.211122 : Epoch  7, Batch    196, Loss  0.553426, Average Loss  0.538976, Time  0.462297
2021-09-07 06:25:14.086537 : Epoch  7, Batch    197, Loss  0.522657, Average Loss  0.538952, Time  0.461673
2021-09-07 06:25:15.964429 : Epoch  7, Batch    198, Loss  0.535276, Average Loss  0.538922, Time  0.461045
2021-09-07 06:25:17.831733 : Epoch  7, Batch    199, Loss  0.533968, Average Loss  0.538819, Time  0.462000
2021-09-07 06:25:19.711452 : Epoch  7, Batch    200, Loss  0.527393, Average Loss  0.538817, Time  0.461032
2021-09-07 06:25:21.587473 : Epoch  7, Batch    201, Loss  0.544240, Average Loss  0.538881, Time  0.461675
2021-09-07 06:25:23.472983 : Epoch  7, Batch    202, Loss  0.533705, Average Loss  0.538897, Time  0.460618
2021-09-07 06:25:25.341138 : Epoch  7, Batch    203, Loss  0.540449, Average Loss  0.538896, Time  0.461885
2021-09-07 06:25:27.230269 : Epoch  7, Batch    204, Loss  0.542433, Average Loss  0.538920, Time  0.463330
2021-09-07 06:25:29.092939 : Epoch  7, Batch    205, Loss  0.537582, Average Loss  0.538806, Time  0.461048
2021-09-07 06:25:30.960784 : Epoch  7, Batch    206, Loss  0.530201, Average Loss  0.538736, Time  0.460541
2021-09-07 06:25:32.845335 : Epoch  7, Batch    207, Loss  0.538031, Average Loss  0.538667, Time  0.462639
2021-09-07 06:25:34.729686 : Epoch  7, Batch    208, Loss  0.531676, Average Loss  0.538591, Time  0.462125
2021-09-07 06:25:36.613022 : Epoch  7, Batch    209, Loss  0.533601, Average Loss  0.538517, Time  0.461138
2021-09-07 06:25:38.492402 : Epoch  7, Batch    210, Loss  0.533551, Average Loss  0.538487, Time  0.461498
2021-09-07 06:25:40.369127 : Epoch  7, Batch    211, Loss  0.528995, Average Loss  0.538452, Time  0.461950
2021-09-07 06:25:42.238711 : Epoch  7, Batch    212, Loss  0.538148, Average Loss  0.538408, Time  0.460726
2021-09-07 06:25:44.108865 : Epoch  7, Batch    213, Loss  0.526799, Average Loss  0.538381, Time  0.462035
2021-09-07 06:25:45.977047 : Epoch  7, Batch    214, Loss  0.533956, Average Loss  0.538353, Time  0.462953
2021-09-07 06:25:47.897481 : Epoch  7, Batch    215, Loss  0.523590, Average Loss  0.538242, Time  0.461853
2021-09-07 06:25:49.808715 : Epoch  7, Batch    216, Loss  0.522544, Average Loss  0.538170, Time  0.462111
2021-09-07 06:25:51.688995 : Epoch  7, Batch    217, Loss  0.554822, Average Loss  0.538301, Time  0.461502
2021-09-07 06:25:53.567272 : Epoch  7, Batch    218, Loss  0.538842, Average Loss  0.538293, Time  0.460699
2021-09-07 06:25:55.440994 : Epoch  7, Batch    219, Loss  0.528068, Average Loss  0.538208, Time  0.462111
2021-09-07 06:25:57.324569 : Epoch  7, Batch    220, Loss  0.550090, Average Loss  0.538220, Time  0.460488
2021-09-07 06:25:59.198186 : Epoch  7, Batch    221, Loss  0.541664, Average Loss  0.538242, Time  0.461937
2021-09-07 06:26:01.078092 : Epoch  7, Batch    222, Loss  0.531836, Average Loss  0.538215, Time  0.461885
2021-09-07 06:26:02.976531 : Epoch  7, Batch    223, Loss  0.525178, Average Loss  0.538120, Time  0.461758
2021-09-07 06:26:04.842202 : Epoch  7, Batch    224, Loss  0.540455, Average Loss  0.538075, Time  0.461012
2021-09-07 06:26:06.706062 : Epoch  7, Batch    225, Loss  0.533903, Average Loss  0.538051, Time  0.461442
2021-09-07 06:26:08.574144 : Epoch  7, Batch    226, Loss  0.519250, Average Loss  0.537922, Time  0.461566
2021-09-07 06:26:10.447504 : Epoch  7, Batch    227, Loss  0.545284, Average Loss  0.537856, Time  0.461673
2021-09-07 06:26:12.328762 : Epoch  7, Batch    228, Loss  0.541891, Average Loss  0.537860, Time  0.461796
2021-09-07 06:26:14.206080 : Epoch  7, Batch    229, Loss  0.532858, Average Loss  0.537838, Time  0.460712
2021-09-07 06:26:16.080777 : Epoch  7, Batch    230, Loss  0.535516, Average Loss  0.537787, Time  0.463661
2021-09-07 06:26:17.993733 : Epoch  7, Batch    231, Loss  0.529769, Average Loss  0.537730, Time  0.462463
2021-09-07 06:26:19.894036 : Epoch  7, Batch    232, Loss  0.541432, Average Loss  0.537810, Time  0.460968
2021-09-07 06:26:21.765544 : Epoch  7, Batch    233, Loss  0.543786, Average Loss  0.537861, Time  0.460955
2021-09-07 06:26:23.625781 : Epoch  7, Batch    234, Loss  0.533384, Average Loss  0.537830, Time  0.460502
2021-09-07 06:26:25.487228 : Epoch  7, Batch    235, Loss  0.539488, Average Loss  0.537801, Time  0.461853
2021-09-07 06:26:27.363505 : Epoch  7, Batch    236, Loss  0.538320, Average Loss  0.537815, Time  0.461773
2021-09-07 06:26:29.248028 : Epoch  7, Batch    237, Loss  0.542919, Average Loss  0.537807, Time  0.462114
2021-09-07 06:26:31.124558 : Epoch  7, Batch    238, Loss  0.545071, Average Loss  0.537861, Time  0.462996
2021-09-07 06:26:32.996640 : Epoch  7, Batch    239, Loss  0.545978, Average Loss  0.537891, Time  0.461622
2021-09-07 06:26:34.890685 : Epoch  7, Batch    240, Loss  0.540845, Average Loss  0.537925, Time  0.461661
2021-09-07 06:26:36.773136 : Epoch  7, Batch    241, Loss  0.538210, Average Loss  0.537971, Time  0.461087
2021-09-07 06:26:38.635593 : Epoch  7, Batch    242, Loss  0.511574, Average Loss  0.537864, Time  0.460883
2021-09-07 06:26:40.502677 : Epoch  7, Batch    243, Loss  0.538641, Average Loss  0.537885, Time  0.461734
2021-09-07 06:26:42.376024 : Epoch  7, Batch    244, Loss  0.532506, Average Loss  0.537892, Time  0.461853
2021-09-07 06:26:44.241947 : Epoch  7, Batch    245, Loss  0.538619, Average Loss  0.537869, Time  0.462049
2021-09-07 06:26:46.116087 : Epoch  7, Batch    246, Loss  0.539530, Average Loss  0.537894, Time  0.461739
2021-09-07 06:26:47.991942 : Epoch  7, Batch    247, Loss  0.555066, Average Loss  0.537951, Time  0.460777
2021-09-07 06:26:49.867969 : Epoch  7, Batch    248, Loss  0.530727, Average Loss  0.537865, Time  0.463286
2021-09-07 06:26:53.840474 : Epoch  7, Batch    249, Loss  0.531007, Average Loss  0.537922, Time  0.471952
2021-09-07 06:26:55.717487 : Epoch  7, Batch    250, Loss  0.528502, Average Loss  0.537933, Time  0.460634
2021-09-07 06:26:57.584458 : Epoch  7, Batch    251, Loss  0.539055, Average Loss  0.537949, Time  0.463081
2021-09-07 06:26:59.462509 : Epoch  7, Batch    252, Loss  0.538493, Average Loss  0.537947, Time  0.461879
2021-09-07 06:27:01.326962 : Epoch  7, Batch    253, Loss  0.557339, Average Loss  0.538052, Time  0.461594
2021-09-07 06:27:03.197549 : Epoch  7, Batch    254, Loss  0.546980, Average Loss  0.538179, Time  0.460312
2021-09-07 06:27:05.076579 : Epoch  7, Batch    255, Loss  0.547617, Average Loss  0.538166, Time  0.461498
2021-09-07 06:27:06.966026 : Epoch  7, Batch    256, Loss  0.534327, Average Loss  0.538141, Time  0.461962
2021-09-07 06:27:08.840718 : Epoch  7, Batch    257, Loss  0.525487, Average Loss  0.538098, Time  0.461223
2021-09-07 06:27:10.699256 : Epoch  7, Batch    258, Loss  0.527447, Average Loss  0.537999, Time  0.460477
2021-09-07 06:27:12.563186 : Epoch  7, Batch    259, Loss  0.537446, Average Loss  0.537968, Time  0.461673
2021-09-07 06:27:14.419036 : Epoch  7, Batch    260, Loss  0.538665, Average Loss  0.537973, Time  0.460609
2021-09-07 06:27:16.278507 : Epoch  7, Batch    261, Loss  0.552671, Average Loss  0.538078, Time  0.461414
2021-09-07 06:27:18.137795 : Epoch  7, Batch    262, Loss  0.536543, Average Loss  0.538024, Time  0.460666
2021-09-07 06:27:20.003069 : Epoch  7, Batch    263, Loss  0.547501, Average Loss  0.538073, Time  0.461231
2021-09-07 06:27:21.862790 : Epoch  7, Batch    264, Loss  0.536050, Average Loss  0.538138, Time  0.461257
2021-09-07 06:27:23.732110 : Epoch  7, Batch    265, Loss  0.531232, Average Loss  0.538193, Time  0.461734
2021-09-07 06:27:25.612798 : Epoch  7, Batch    266, Loss  0.530891, Average Loss  0.538130, Time  0.461400
2021-09-07 06:27:27.477107 : Epoch  7, Batch    267, Loss  0.526385, Average Loss  0.537995, Time  0.461163
2021-09-07 06:27:29.362442 : Epoch  7, Batch    268, Loss  0.535624, Average Loss  0.538034, Time  0.460520
2021-09-07 06:27:31.218112 : Epoch  7, Batch    269, Loss  0.535723, Average Loss  0.537975, Time  0.461283
2021-09-07 06:27:33.093534 : Epoch  7, Batch    270, Loss  0.539591, Average Loss  0.537956, Time  0.461918
2021-09-07 06:27:34.972667 : Epoch  7, Batch    271, Loss  0.540765, Average Loss  0.537926, Time  0.461131
2021-09-07 06:27:36.846020 : Epoch  7, Batch    272, Loss  0.526359, Average Loss  0.537865, Time  0.461759
2021-09-07 06:27:38.734112 : Epoch  7, Batch    273, Loss  0.547970, Average Loss  0.537895, Time  0.461890
2021-09-07 06:27:40.610352 : Epoch  7, Batch    274, Loss  0.533734, Average Loss  0.537838, Time  0.462244
2021-09-07 06:27:42.493845 : Epoch  7, Batch    275, Loss  0.533018, Average Loss  0.537829, Time  0.462364
2021-09-07 06:27:44.375497 : Epoch  7, Batch    276, Loss  0.541836, Average Loss  0.537892, Time  0.465958
2021-09-07 06:27:46.249942 : Epoch  7, Batch    277, Loss  0.533806, Average Loss  0.537863, Time  0.462711
2021-09-07 06:27:50.159172 : Epoch  7, Batch    278, Loss  0.528781, Average Loss  0.537757, Time  0.472294
2021-09-07 06:28:54.012220 : CheckPoint: Validation Loss  0.00022677, Best Loss  0.00021621
2021-09-07 06:28:55.909815 : Epoch  7, Batch    279, Loss  0.536281, Average Loss  0.537715, Time  0.461640
2021-09-07 06:28:57.770666 : Epoch  7, Batch    280, Loss  0.534237, Average Loss  0.537673, Time  0.461534
2021-09-07 06:28:59.652244 : Epoch  7, Batch    281, Loss  0.528613, Average Loss  0.537602, Time  0.461891
2021-09-07 06:29:01.536068 : Epoch  7, Batch    282, Loss  0.540325, Average Loss  0.537540, Time  0.462636
2021-09-07 06:29:03.415157 : Epoch  7, Batch    283, Loss  0.536610, Average Loss  0.537513, Time  0.461422
2021-09-07 06:29:05.285672 : Epoch  7, Batch    284, Loss  0.537361, Average Loss  0.537531, Time  0.460811
2021-09-07 06:29:07.178708 : Epoch  7, Batch    285, Loss  0.534170, Average Loss  0.537516, Time  0.460830
2021-09-07 06:29:09.048113 : Epoch  7, Batch    286, Loss  0.542497, Average Loss  0.537536, Time  0.461049
2021-09-07 06:29:10.898489 : Epoch  7, Batch    287, Loss  0.532051, Average Loss  0.537498, Time  0.460913
2021-09-07 06:29:12.773014 : Epoch  7, Batch    288, Loss  0.541788, Average Loss  0.537502, Time  0.463133
2021-09-07 06:29:14.637078 : Epoch  7, Batch    289, Loss  0.538790, Average Loss  0.537504, Time  0.461099
2021-09-07 06:29:16.506580 : Epoch  7, Batch    290, Loss  0.541769, Average Loss  0.537442, Time  0.461732
2021-09-07 06:29:18.367968 : Epoch  7, Batch    291, Loss  0.543908, Average Loss  0.537446, Time  0.461397
2021-09-07 06:29:20.216628 : Epoch  7, Batch    292, Loss  0.539872, Average Loss  0.537414, Time  0.460688
2021-09-07 06:29:22.078556 : Epoch  7, Batch    293, Loss  0.528521, Average Loss  0.537348, Time  0.461022
2021-09-07 06:29:23.947784 : Epoch  7, Batch    294, Loss  0.551722, Average Loss  0.537448, Time  0.461983
2021-09-07 06:29:25.814392 : Epoch  7, Batch    295, Loss  0.541552, Average Loss  0.537467, Time  0.460793
2021-09-07 06:29:27.692315 : Epoch  7, Batch    296, Loss  0.540348, Average Loss  0.537504, Time  0.461810
2021-09-07 06:29:29.554059 : Epoch  7, Batch    297, Loss  0.542768, Average Loss  0.537447, Time  0.461459
2021-09-07 06:29:31.422552 : Epoch  7, Batch    298, Loss  0.538502, Average Loss  0.537499, Time  0.460888
2021-09-07 06:29:33.287039 : Epoch  7, Batch    299, Loss  0.552362, Average Loss  0.537473, Time  0.462131
2021-09-07 06:29:35.156545 : Epoch  7, Batch    300, Loss  0.545699, Average Loss  0.537548, Time  0.461560
2021-09-07 06:29:37.029689 : Epoch  7, Batch    301, Loss  0.525922, Average Loss  0.537480, Time  0.461601
2021-09-07 06:29:38.904208 : Epoch  7, Batch    302, Loss  0.539733, Average Loss  0.537487, Time  0.461026
2021-09-07 06:29:40.756092 : Epoch  7, Batch    303, Loss  0.535212, Average Loss  0.537491, Time  0.460765
2021-09-07 06:29:42.616633 : Epoch  7, Batch    304, Loss  0.532553, Average Loss  0.537497, Time  0.462361
2021-09-07 06:29:44.494694 : Epoch  7, Batch    305, Loss  0.531828, Average Loss  0.537497, Time  0.463425
2021-09-07 06:29:46.368414 : Epoch  7, Batch    306, Loss  0.535088, Average Loss  0.537473, Time  0.461750
2021-09-07 06:29:48.219829 : Epoch  7, Batch    307, Loss  0.532616, Average Loss  0.537469, Time  0.461753
2021-09-07 06:29:50.090749 : Epoch  7, Batch    308, Loss  0.541893, Average Loss  0.537439, Time  0.461314
2021-09-07 06:29:51.946031 : Epoch  7, Batch    309, Loss  0.536798, Average Loss  0.537460, Time  0.460959
2021-09-07 06:29:53.851094 : Epoch  7, Batch    310, Loss  0.551669, Average Loss  0.537494, Time  0.463994
2021-09-07 06:29:55.773056 : Epoch  7, Batch    311, Loss  0.539304, Average Loss  0.537514, Time  0.461681
2021-09-07 06:29:57.647362 : Epoch  7, Batch    312, Loss  0.524964, Average Loss  0.537392, Time  0.461682
2021-09-07 06:29:59.514211 : Epoch  7, Batch    313, Loss  0.538204, Average Loss  0.537415, Time  0.462519
2021-09-07 06:30:01.388030 : Epoch  7, Batch    314, Loss  0.529811, Average Loss  0.537308, Time  0.461789
2021-09-07 06:30:03.275115 : Epoch  7, Batch    315, Loss  0.527954, Average Loss  0.537268, Time  0.463439
2021-09-07 06:30:05.156431 : Epoch  7, Batch    316, Loss  0.534626, Average Loss  0.537303, Time  0.461618
2021-09-07 06:30:07.041377 : Epoch  7, Batch    317, Loss  0.542434, Average Loss  0.537365, Time  0.462785
2021-09-07 06:30:08.933271 : Epoch  7, Batch    318, Loss  0.548133, Average Loss  0.537480, Time  0.461779
2021-09-07 06:30:10.812823 : Epoch  7, Batch    319, Loss  0.536307, Average Loss  0.537386, Time  0.462123
2021-09-07 06:30:12.694049 : Epoch  7, Batch    320, Loss  0.541520, Average Loss  0.537468, Time  0.461617
2021-09-07 06:30:14.575632 : Epoch  7, Batch    321, Loss  0.526796, Average Loss  0.537407, Time  0.461727
2021-09-07 06:30:16.445797 : Epoch  7, Batch    322, Loss  0.542897, Average Loss  0.537479, Time  0.463179
2021-09-07 06:30:18.322163 : Epoch  7, Batch    323, Loss  0.543296, Average Loss  0.537487, Time  0.461186
2021-09-07 06:30:20.182715 : Epoch  7, Batch    324, Loss  0.545456, Average Loss  0.537518, Time  0.460445
2021-09-07 06:30:22.040127 : Epoch  7, Batch    325, Loss  0.533534, Average Loss  0.537491, Time  0.462111
2021-09-07 06:30:23.915447 : Epoch  7, Batch    326, Loss  0.532029, Average Loss  0.537413, Time  0.460903
2021-09-07 06:30:25.778082 : Epoch  7, Batch    327, Loss  0.539040, Average Loss  0.537389, Time  0.460654
2021-09-07 06:30:27.632933 : Epoch  7, Batch    328, Loss  0.544624, Average Loss  0.537384, Time  0.460979
2021-09-07 06:30:29.504417 : Epoch  7, Batch    329, Loss  0.530762, Average Loss  0.537367, Time  0.461834
2021-09-07 06:30:31.369785 : Epoch  7, Batch    330, Loss  0.533843, Average Loss  0.537282, Time  0.460647
2021-09-07 06:30:33.233709 : Epoch  7, Batch    331, Loss  0.540095, Average Loss  0.537270, Time  0.461712
2021-09-07 06:30:35.142359 : Epoch  7, Batch    332, Loss  0.536127, Average Loss  0.537278, Time  0.461676
2021-09-07 06:30:37.012056 : Epoch  7, Batch    333, Loss  0.529077, Average Loss  0.537199, Time  0.461670
2021-09-07 06:30:38.903919 : Epoch  7, Batch    334, Loss  0.550265, Average Loss  0.537298, Time  0.462049
2021-09-07 06:30:40.782684 : Epoch  7, Batch    335, Loss  0.525407, Average Loss  0.537108, Time  0.461586
2021-09-07 06:30:42.650759 : Epoch  7, Batch    336, Loss  0.545634, Average Loss  0.537173, Time  0.460144
2021-09-07 06:30:44.516182 : Epoch  7, Batch    337, Loss  0.542686, Average Loss  0.537239, Time  0.461747
2021-09-07 06:30:46.398823 : Epoch  7, Batch    338, Loss  0.537795, Average Loss  0.537256, Time  0.462204
2021-09-07 06:30:48.260902 : Epoch  7, Batch    339, Loss  0.533659, Average Loss  0.537228, Time  0.460675
2021-09-07 06:30:50.128054 : Epoch  7, Batch    340, Loss  0.531561, Average Loss  0.537266, Time  0.460341
2021-09-07 06:30:51.998442 : Epoch  7, Batch    341, Loss  0.531160, Average Loss  0.537224, Time  0.461285
2021-09-07 06:30:53.886368 : Epoch  7, Batch    342, Loss  0.555291, Average Loss  0.537268, Time  0.461915
2021-09-07 06:30:55.764517 : Epoch  7, Batch    343, Loss  0.552490, Average Loss  0.537327, Time  0.461799
2021-09-07 06:30:57.648276 : Epoch  7, Batch    344, Loss  0.530708, Average Loss  0.537254, Time  0.462073
2021-09-07 06:30:59.526115 : Epoch  7, Batch    345, Loss  0.540568, Average Loss  0.537271, Time  0.461753
2021-09-07 06:31:01.391079 : Epoch  7, Batch    346, Loss  0.519944, Average Loss  0.537172, Time  0.461119
2021-09-07 06:31:03.245788 : Epoch  7, Batch    347, Loss  0.534162, Average Loss  0.537151, Time  0.461193
2021-09-07 06:31:05.126096 : Epoch  7, Batch    348, Loss  0.539093, Average Loss  0.537191, Time  0.462271
2021-09-07 06:31:09.125777 : Epoch  7, Batch    349, Loss  0.538561, Average Loss  0.537218, Time  0.474489
2021-09-07 06:31:10.989749 : Epoch  7, Batch    350, Loss  0.546171, Average Loss  0.537270, Time  0.461294
2021-09-07 06:31:12.843924 : Epoch  7, Batch    351, Loss  0.551785, Average Loss  0.537335, Time  0.461667
2021-09-07 06:31:14.706559 : Epoch  7, Batch    352, Loss  0.542682, Average Loss  0.537342, Time  0.461370
2021-09-07 06:31:16.563285 : Epoch  7, Batch    353, Loss  0.544432, Average Loss  0.537414, Time  0.460884
2021-09-07 06:31:18.418460 : Epoch  7, Batch    354, Loss  0.537264, Average Loss  0.537462, Time  0.461144
2021-09-07 06:31:20.272183 : Epoch  7, Batch    355, Loss  0.543926, Average Loss  0.537439, Time  0.461174
2021-09-07 06:31:22.124939 : Epoch  7, Batch    356, Loss  0.535282, Average Loss  0.537384, Time  0.461068
2021-09-07 06:31:23.978540 : Epoch  7, Batch    357, Loss  0.542232, Average Loss  0.537411, Time  0.460821
2021-09-07 06:31:25.838547 : Epoch  7, Batch    358, Loss  0.532951, Average Loss  0.537456, Time  0.462069
2021-09-07 06:31:27.745361 : Epoch  7, Batch    359, Loss  0.533114, Average Loss  0.537487, Time  0.460736
2021-09-07 06:31:29.605231 : Epoch  7, Batch    360, Loss  0.555456, Average Loss  0.537551, Time  0.462014
2021-09-07 06:31:31.468406 : Epoch  7, Batch    361, Loss  0.547876, Average Loss  0.537653, Time  0.460975
2021-09-07 06:31:33.335635 : Epoch  7, Batch    362, Loss  0.549778, Average Loss  0.537698, Time  0.460491
2021-09-07 06:31:35.202334 : Epoch  7, Batch    363, Loss  0.537811, Average Loss  0.537718, Time  0.462109
2021-09-07 06:31:37.075581 : Epoch  7, Batch    364, Loss  0.538960, Average Loss  0.537776, Time  0.462004
2021-09-07 06:31:38.955377 : Epoch  7, Batch    365, Loss  0.540609, Average Loss  0.537783, Time  0.460434
2021-09-07 06:31:40.812133 : Epoch  7, Batch    366, Loss  0.529475, Average Loss  0.537793, Time  0.462787
2021-09-07 06:31:42.672187 : Epoch  7, Batch    367, Loss  0.539799, Average Loss  0.537840, Time  0.461780
2021-09-07 06:31:44.540300 : Epoch  7, Batch    368, Loss  0.536412, Average Loss  0.537847, Time  0.461575
2021-09-07 06:31:46.416081 : Epoch  7, Batch    369, Loss  0.544559, Average Loss  0.537864, Time  0.462072
2021-09-07 06:31:48.296645 : Epoch  7, Batch    370, Loss  0.538050, Average Loss  0.537922, Time  0.461433
2021-09-07 06:31:50.162138 : Epoch  7, Batch    371, Loss  0.544879, Average Loss  0.537975, Time  0.460982
2021-09-07 06:31:52.039304 : Epoch  7, Batch    372, Loss  0.525349, Average Loss  0.537865, Time  0.461950
2021-09-07 06:31:53.911191 : Epoch  7, Batch    373, Loss  0.520969, Average Loss  0.537839, Time  0.461120
2021-09-07 06:31:55.774067 : Epoch  7, Batch    374, Loss  0.542100, Average Loss  0.537846, Time  0.461959
2021-09-07 06:31:57.636294 : Epoch  7, Batch    375, Loss  0.533476, Average Loss  0.537798, Time  0.461645
2021-09-07 06:31:59.508824 : Epoch  7, Batch    376, Loss  0.534563, Average Loss  0.537816, Time  0.463144
2021-09-07 06:32:01.379744 : Epoch  7, Batch    377, Loss  0.535325, Average Loss  0.537844, Time  0.461661
2021-09-07 06:32:03.252982 : Epoch  7, Batch    378, Loss  0.534528, Average Loss  0.537848, Time  0.461082
2021-09-07 06:33:07.185380 : CheckPoint: Validation Loss  0.00022559, Best Loss  0.00021621
2021-09-07 06:33:09.058480 : Epoch  7, Batch    379, Loss  0.554260, Average Loss  0.537944, Time  0.460751
2021-09-07 06:33:10.912075 : Epoch  7, Batch    380, Loss  0.533128, Average Loss  0.537861, Time  0.462030
2021-09-07 06:33:12.773829 : Epoch  7, Batch    381, Loss  0.544184, Average Loss  0.537846, Time  0.460950
2021-09-07 06:33:14.623789 : Epoch  7, Batch    382, Loss  0.528991, Average Loss  0.537802, Time  0.461848
2021-09-07 06:33:16.499610 : Epoch  7, Batch    383, Loss  0.522606, Average Loss  0.537734, Time  0.461817
2021-09-07 06:33:18.376438 : Epoch  7, Batch    384, Loss  0.536875, Average Loss  0.537642, Time  0.461262
2021-09-07 06:33:20.242270 : Epoch  7, Batch    385, Loss  0.544331, Average Loss  0.537706, Time  0.462886
2021-09-07 06:33:22.108811 : Epoch  7, Batch    386, Loss  0.546079, Average Loss  0.537699, Time  0.461159
2021-09-07 06:33:23.972931 : Epoch  7, Batch    387, Loss  0.543221, Average Loss  0.537685, Time  0.461312
2021-09-07 06:33:25.847038 : Epoch  7, Batch    388, Loss  0.542858, Average Loss  0.537680, Time  0.460202
2021-09-07 06:33:27.717059 : Epoch  7, Batch    389, Loss  0.550200, Average Loss  0.537716, Time  0.462291
2021-09-07 06:33:29.588375 : Epoch  7, Batch    390, Loss  0.541628, Average Loss  0.537700, Time  0.460987
2021-09-07 06:33:31.468198 : Epoch  7, Batch    391, Loss  0.544497, Average Loss  0.537733, Time  0.460646
2021-09-07 06:33:33.339342 : Epoch  7, Batch    392, Loss  0.532844, Average Loss  0.537664, Time  0.461809
2021-09-07 06:33:35.223663 : Epoch  7, Batch    393, Loss  0.547982, Average Loss  0.537691, Time  0.461887
2021-09-07 06:33:37.093825 : Epoch  7, Batch    394, Loss  0.549413, Average Loss  0.537752, Time  0.460753
2021-09-07 06:33:38.960644 : Epoch  7, Batch    395, Loss  0.532761, Average Loss  0.537736, Time  0.460670
2021-09-07 06:33:40.825011 : Epoch  7, Batch    396, Loss  0.524944, Average Loss  0.537593, Time  0.460302
2021-09-07 06:33:42.692795 : Epoch  7, Batch    397, Loss  0.553555, Average Loss  0.537748, Time  0.462083
2021-09-07 06:33:44.571282 : Epoch  7, Batch    398, Loss  0.537788, Average Loss  0.537760, Time  0.460962
2021-09-07 06:33:46.450579 : Epoch  7, Batch    399, Loss  0.559886, Average Loss  0.537890, Time  0.461730
2021-09-07 06:33:48.327055 : Epoch  7, Batch    400, Loss  0.540441, Average Loss  0.537955, Time  0.460561
2021-09-07 06:33:50.187542 : Epoch  7, Batch    401, Loss  0.532761, Average Loss  0.537898, Time  0.460581
2021-09-07 06:33:52.046682 : Epoch  7, Batch    402, Loss  0.533530, Average Loss  0.537897, Time  0.460363
2021-09-07 06:33:53.902912 : Epoch  7, Batch    403, Loss  0.541777, Average Loss  0.537904, Time  0.461403
2021-09-07 06:33:55.772316 : Epoch  7, Batch    404, Loss  0.532543, Average Loss  0.537854, Time  0.460729
2021-09-07 06:33:57.631277 : Epoch  7, Batch    405, Loss  0.539772, Average Loss  0.537865, Time  0.460820
2021-09-07 06:33:59.514277 : Epoch  7, Batch    406, Loss  0.538268, Average Loss  0.537905, Time  0.461004
2021-09-07 06:34:01.383283 : Epoch  7, Batch    407, Loss  0.543220, Average Loss  0.537931, Time  0.460895
2021-09-07 06:34:01.580120 : Epoch  7, Batch    408, Loss  0.557866, Average Loss  0.538062, Time  0.157386
2021-09-07 06:34:03.445215 : Epoch  7, Batch    409, Loss  0.548463, Average Loss  0.538137, Time  0.461195
2021-09-07 06:34:05.339422 : Epoch  7, Batch    410, Loss  0.547705, Average Loss  0.538207, Time  0.462075
2021-09-07 06:34:07.210788 : Epoch  7, Batch    411, Loss  0.535980, Average Loss  0.538242, Time  0.461901
2021-09-07 06:34:09.081516 : Epoch  7, Batch    412, Loss  0.545666, Average Loss  0.538280, Time  0.460956
2021-09-07 06:34:10.944886 : Epoch  7, Batch    413, Loss  0.555124, Average Loss  0.538421, Time  0.461703
2021-09-07 06:34:12.819775 : Epoch  7, Batch    414, Loss  0.540262, Average Loss  0.538453, Time  0.461133
2021-09-07 06:34:14.691077 : Epoch  7, Batch    415, Loss  0.553889, Average Loss  0.538605, Time  0.461794
2021-09-07 06:34:16.574795 : Epoch  7, Batch    416, Loss  0.559636, Average Loss  0.538790, Time  0.460699
2021-09-07 06:34:18.433036 : Epoch  7, Batch    417, Loss  0.556679, Average Loss  0.538799, Time  0.460817
2021-09-07 06:34:20.311161 : Epoch  7, Batch    418, Loss  0.544220, Average Loss  0.538826, Time  0.460611
2021-09-07 06:34:22.178238 : Epoch  7, Batch    419, Loss  0.536186, Average Loss  0.538867, Time  0.460922
2021-09-07 06:34:24.038394 : Epoch  7, Batch    420, Loss  0.557087, Average Loss  0.538902, Time  0.462273
2021-09-07 06:34:25.905085 : Epoch  7, Batch    421, Loss  0.547844, Average Loss  0.538933, Time  0.462368
2021-09-07 06:34:27.782038 : Epoch  7, Batch    422, Loss  0.553369, Average Loss  0.539040, Time  0.461033
2021-09-07 06:34:29.647221 : Epoch  7, Batch    423, Loss  0.529955, Average Loss  0.539064, Time  0.462161
2021-09-07 06:34:31.543960 : Epoch  7, Batch    424, Loss  0.546196, Average Loss  0.539093, Time  0.461249
2021-09-07 06:34:33.405129 : Epoch  7, Batch    425, Loss  0.550327, Average Loss  0.539175, Time  0.460711
2021-09-07 06:34:35.274526 : Epoch  7, Batch    426, Loss  0.537304, Average Loss  0.539265, Time  0.461395
2021-09-07 06:34:37.145510 : Epoch  7, Batch    427, Loss  0.540273, Average Loss  0.539240, Time  0.460803
2021-09-07 06:34:39.012721 : Epoch  7, Batch    428, Loss  0.560875, Average Loss  0.539335, Time  0.461836
2021-09-07 06:34:40.878184 : Epoch  7, Batch    429, Loss  0.541375, Average Loss  0.539378, Time  0.460887
2021-09-07 06:34:42.740799 : Epoch  7, Batch    430, Loss  0.543913, Average Loss  0.539420, Time  0.460774
2021-09-07 06:34:44.612314 : Epoch  7, Batch    431, Loss  0.541218, Average Loss  0.539477, Time  0.462168
2021-09-07 06:34:46.477552 : Epoch  7, Batch    432, Loss  0.553605, Average Loss  0.539538, Time  0.461560
2021-09-07 06:34:48.365376 : Epoch  7, Batch    433, Loss  0.528438, Average Loss  0.539461, Time  0.461451
2021-09-07 06:34:50.225441 : Epoch  7, Batch    434, Loss  0.557621, Average Loss  0.539582, Time  0.461348
2021-09-07 06:34:52.115726 : Epoch  7, Batch    435, Loss  0.537662, Average Loss  0.539573, Time  0.462085
2021-09-07 06:34:54.153354 : Epoch  7, Batch    436, Loss  0.533497, Average Loss  0.539549, Time  0.461501
2021-09-07 06:34:56.030282 : Epoch  7, Batch    437, Loss  0.542081, Average Loss  0.539545, Time  0.461698
2021-09-07 06:34:57.916904 : Epoch  7, Batch    438, Loss  0.542386, Average Loss  0.539531, Time  0.460828
2021-09-07 06:34:59.785385 : Epoch  7, Batch    439, Loss  0.536791, Average Loss  0.539485, Time  0.461108
2021-09-07 06:35:01.660536 : Epoch  7, Batch    440, Loss  0.549186, Average Loss  0.539527, Time  0.461492
2021-09-07 06:35:03.541970 : Epoch  7, Batch    441, Loss  0.543257, Average Loss  0.539552, Time  0.461482
2021-09-07 06:35:05.427800 : Epoch  7, Batch    442, Loss  0.529691, Average Loss  0.539643, Time  0.461584
2021-09-07 06:35:07.308375 : Epoch  7, Batch    443, Loss  0.549347, Average Loss  0.539697, Time  0.461688
2021-09-07 06:35:09.189443 : Epoch  7, Batch    444, Loss  0.546073, Average Loss  0.539764, Time  0.461812
2021-09-07 06:35:11.063307 : Epoch  7, Batch    445, Loss  0.539838, Average Loss  0.539770, Time  0.460763
2021-09-07 06:35:12.931014 : Epoch  7, Batch    446, Loss  0.531578, Average Loss  0.539731, Time  0.461772
2021-09-07 06:35:14.809481 : Epoch  7, Batch    447, Loss  0.531984, Average Loss  0.539615, Time  0.461115
2021-09-07 06:35:16.668048 : Epoch  7, Batch    448, Loss  0.551356, Average Loss  0.539718, Time  0.461769
2021-09-07 06:35:18.546814 : Epoch  7, Batch    449, Loss  0.548508, Average Loss  0.539806, Time  0.461974
2021-09-07 06:35:22.491833 : Epoch  7, Batch    450, Loss  0.538053, Average Loss  0.539854, Time  0.473968
2021-09-07 06:35:24.356921 : Epoch  7, Batch    451, Loss  0.539060, Average Loss  0.539854, Time  0.461909
2021-09-07 06:35:26.239822 : Epoch  7, Batch    452, Loss  0.533339, Average Loss  0.539828, Time  0.461302
2021-09-07 06:35:28.123334 : Epoch  7, Batch    453, Loss  0.541338, Average Loss  0.539748, Time  0.461970
2021-09-07 06:35:29.990460 : Epoch  7, Batch    454, Loss  0.544250, Average Loss  0.539734, Time  0.460986
2021-09-07 06:35:31.846936 : Epoch  7, Batch    455, Loss  0.533181, Average Loss  0.539662, Time  0.460974
2021-09-07 06:35:33.706921 : Epoch  7, Batch    456, Loss  0.537753, Average Loss  0.539679, Time  0.461046
2021-09-07 06:35:35.583328 : Epoch  7, Batch    457, Loss  0.530458, Average Loss  0.539704, Time  0.460893
2021-09-07 06:35:37.446128 : Epoch  7, Batch    458, Loss  0.552373, Average Loss  0.539829, Time  0.461750
2021-09-07 06:35:39.318860 : Epoch  7, Batch    459, Loss  0.534047, Average Loss  0.539812, Time  0.461326
2021-09-07 06:35:41.176443 : Epoch  7, Batch    460, Loss  0.542993, Average Loss  0.539833, Time  0.461048
2021-09-07 06:35:43.048029 : Epoch  7, Batch    461, Loss  0.541318, Average Loss  0.539777, Time  0.461606
2021-09-07 06:35:44.920887 : Epoch  7, Batch    462, Loss  0.537056, Average Loss  0.539779, Time  0.460770
2021-09-07 06:35:46.798312 : Epoch  7, Batch    463, Loss  0.541810, Average Loss  0.539751, Time  0.461942
2021-09-07 06:35:48.709098 : Epoch  7, Batch    464, Loss  0.540418, Average Loss  0.539773, Time  0.462234
2021-09-07 06:35:50.610772 : Epoch  7, Batch    465, Loss  0.543893, Average Loss  0.539836, Time  0.460892
2021-09-07 06:35:52.504765 : Epoch  7, Batch    466, Loss  0.549130, Average Loss  0.539927, Time  0.463191
2021-09-07 06:35:54.394696 : Epoch  7, Batch    467, Loss  0.535291, Average Loss  0.539972, Time  0.462060
2021-09-07 06:35:56.277130 : Epoch  7, Batch    468, Loss  0.525155, Average Loss  0.539919, Time  0.462077
2021-09-07 06:35:58.165684 : Epoch  7, Batch    469, Loss  0.539698, Average Loss  0.539939, Time  0.461775
2021-09-07 06:36:00.043143 : Epoch  7, Batch    470, Loss  0.531191, Average Loss  0.539897, Time  0.460807
2021-09-07 06:36:01.908729 : Epoch  7, Batch    471, Loss  0.532441, Average Loss  0.539855, Time  0.462547
2021-09-07 06:36:03.779883 : Epoch  7, Batch    472, Loss  0.541124, Average Loss  0.539929, Time  0.461048
2021-09-07 06:36:05.639093 : Epoch  7, Batch    473, Loss  0.532612, Average Loss  0.539853, Time  0.460733
2021-09-07 06:36:07.530728 : Epoch  7, Batch    474, Loss  0.553987, Average Loss  0.539954, Time  0.461479
2021-09-07 06:36:09.418053 : Epoch  7, Batch    475, Loss  0.540359, Average Loss  0.539990, Time  0.461594
2021-09-07 06:36:11.298233 : Epoch  7, Batch    476, Loss  0.535817, Average Loss  0.539960, Time  0.462333
2021-09-07 06:36:13.166324 : Epoch  7, Batch    477, Loss  0.539089, Average Loss  0.539987, Time  0.461947
2021-09-07 06:36:15.057882 : Epoch  7, Batch    478, Loss  0.554945, Average Loss  0.540118, Time  0.461808
2021-09-07 06:37:19.162327 : CheckPoint: Validation Loss  0.00022722, Best Loss  0.00021621
2021-09-07 06:37:21.042878 : Epoch  7, Batch    479, Loss  0.538369, Average Loss  0.540128, Time  0.461556
2021-09-07 06:37:22.914029 : Epoch  7, Batch    480, Loss  0.542516, Average Loss  0.540169, Time  0.460113
2021-09-07 06:37:24.785006 : Epoch  7, Batch    481, Loss  0.547146, Average Loss  0.540262, Time  0.460670
2021-09-07 06:37:26.675735 : Epoch  7, Batch    482, Loss  0.534616, Average Loss  0.540234, Time  0.460717
2021-09-07 06:37:28.559191 : Epoch  7, Batch    483, Loss  0.539651, Average Loss  0.540249, Time  0.460808
2021-09-07 06:37:30.431607 : Epoch  7, Batch    484, Loss  0.542375, Average Loss  0.540274, Time  0.461157
2021-09-07 06:37:32.305990 : Epoch  7, Batch    485, Loss  0.544073, Average Loss  0.540323, Time  0.461969
2021-09-07 06:37:34.195141 : Epoch  7, Batch    486, Loss  0.544035, Average Loss  0.540331, Time  0.461467
2021-09-07 06:37:36.072374 : Epoch  7, Batch    487, Loss  0.542558, Average Loss  0.540384, Time  0.461593
2021-09-07 06:37:37.966380 : Epoch  7, Batch    488, Loss  0.534841, Average Loss  0.540349, Time  0.461144
2021-09-07 06:37:39.843075 : Epoch  7, Batch    489, Loss  0.537649, Average Loss  0.540343, Time  0.461656
2021-09-07 06:37:41.721159 : Epoch  7, Batch    490, Loss  0.524308, Average Loss  0.540256, Time  0.461133
2021-09-07 06:37:43.598480 : Epoch  7, Batch    491, Loss  0.560357, Average Loss  0.540338, Time  0.460921
2021-09-07 06:37:45.490781 : Epoch  7, Batch    492, Loss  0.539028, Average Loss  0.540334, Time  0.460564
2021-09-07 06:37:47.365946 : Epoch  7, Batch    493, Loss  0.537981, Average Loss  0.540381, Time  0.462354
2021-09-07 06:37:49.254994 : Epoch  7, Batch    494, Loss  0.538390, Average Loss  0.540315, Time  0.461504
2021-09-07 06:37:51.146210 : Epoch  7, Batch    495, Loss  0.541967, Average Loss  0.540317, Time  0.462267
2021-09-07 06:37:53.029328 : Epoch  7, Batch    496, Loss  0.524950, Average Loss  0.540240, Time  0.462297
2021-09-07 06:37:54.928256 : Epoch  7, Batch    497, Loss  0.531559, Average Loss  0.540184, Time  0.460690
2021-09-07 06:37:56.814851 : Epoch  7, Batch    498, Loss  0.537273, Average Loss  0.540177, Time  0.462314
2021-09-07 06:37:58.696431 : Epoch  7, Batch    499, Loss  0.537382, Average Loss  0.540103, Time  0.461092
2021-09-07 06:38:00.577880 : Epoch  7, Batch    500, Loss  0.532791, Average Loss  0.540038, Time  0.460604
2021-09-07 06:38:02.444901 : Epoch  7, Batch    501, Loss  0.537237, Average Loss  0.540095, Time  0.460758
2021-09-07 06:38:04.316054 : Epoch  7, Batch    502, Loss  0.535387, Average Loss  0.540073, Time  0.461345
2021-09-07 06:38:06.187188 : Epoch  7, Batch    503, Loss  0.536546, Average Loss  0.540079, Time  0.460612
2021-09-07 06:38:08.063680 : Epoch  7, Batch    504, Loss  0.552520, Average Loss  0.540179, Time  0.461741
2021-09-07 06:38:09.946245 : Epoch  7, Batch    505, Loss  0.540893, Average Loss  0.540225, Time  0.460955
2021-09-07 06:38:11.836294 : Epoch  7, Batch    506, Loss  0.542765, Average Loss  0.540263, Time  0.461918
2021-09-07 06:38:13.716185 : Epoch  7, Batch    507, Loss  0.545953, Average Loss  0.540330, Time  0.461350
2021-09-07 06:38:15.588806 : Epoch  7, Batch    508, Loss  0.537201, Average Loss  0.540306, Time  0.461284
2021-09-07 06:38:17.493718 : Epoch  7, Batch    509, Loss  0.534295, Average Loss  0.540294, Time  0.462334
2021-09-07 06:38:19.384806 : Epoch  7, Batch    510, Loss  0.535668, Average Loss  0.540214, Time  0.461924
2021-09-07 06:38:21.245384 : Epoch  7, Batch    511, Loss  0.539333, Average Loss  0.540214, Time  0.461046
2021-09-07 06:38:23.127891 : Epoch  7, Batch    512, Loss  0.527515, Average Loss  0.540227, Time  0.463176
2021-09-07 06:38:25.027846 : Epoch  7, Batch    513, Loss  0.531770, Average Loss  0.540194, Time  0.462209
2021-09-07 06:38:26.909832 : Epoch  7, Batch    514, Loss  0.542560, Average Loss  0.540258, Time  0.461539
2021-09-07 06:38:28.786283 : Epoch  7, Batch    515, Loss  0.540586, Average Loss  0.540321, Time  0.460876
2021-09-07 06:38:30.663238 : Epoch  7, Batch    516, Loss  0.531118, Average Loss  0.540304, Time  0.460479
2021-09-07 06:38:32.542579 : Epoch  7, Batch    517, Loss  0.528920, Average Loss  0.540236, Time  0.460501
2021-09-07 06:38:34.414327 : Epoch  7, Batch    518, Loss  0.543828, Average Loss  0.540215, Time  0.460671
2021-09-07 06:38:36.288389 : Epoch  7, Batch    519, Loss  0.537745, Average Loss  0.540222, Time  0.461731
2021-09-07 06:38:38.174331 : Epoch  7, Batch    520, Loss  0.548363, Average Loss  0.540256, Time  0.461428
2021-09-07 06:38:40.061154 : Epoch  7, Batch    521, Loss  0.551398, Average Loss  0.540379, Time  0.461544
2021-09-07 06:38:41.958550 : Epoch  7, Batch    522, Loss  0.519208, Average Loss  0.540261, Time  0.461977
2021-09-07 06:38:43.848688 : Epoch  7, Batch    523, Loss  0.549908, Average Loss  0.540294, Time  0.461426
2021-09-07 06:38:45.724269 : Epoch  7, Batch    524, Loss  0.528243, Average Loss  0.540208, Time  0.461153
2021-09-07 06:38:47.614531 : Epoch  7, Batch    525, Loss  0.532655, Average Loss  0.540203, Time  0.461676
2021-09-07 06:38:49.514803 : Epoch  7, Batch    526, Loss  0.538164, Average Loss  0.540234, Time  0.461698
2021-09-07 06:38:51.404946 : Epoch  7, Batch    527, Loss  0.545710, Average Loss  0.540267, Time  0.462195
2021-09-07 06:38:53.283540 : Epoch  7, Batch    528, Loss  0.553150, Average Loss  0.540310, Time  0.460473
2021-09-07 06:38:55.160176 : Epoch  7, Batch    529, Loss  0.543005, Average Loss  0.540371, Time  0.461105
2021-09-07 06:38:57.028108 : Epoch  7, Batch    530, Loss  0.538344, Average Loss  0.540394, Time  0.460564
2021-09-07 06:38:58.909963 : Epoch  7, Batch    531, Loss  0.540098, Average Loss  0.540394, Time  0.461520
2021-09-07 06:39:00.798764 : Epoch  7, Batch    532, Loss  0.534181, Average Loss  0.540384, Time  0.460894
2021-09-07 06:39:02.680528 : Epoch  7, Batch    533, Loss  0.535990, Average Loss  0.540419, Time  0.460976
2021-09-07 06:39:04.559181 : Epoch  7, Batch    534, Loss  0.537484, Average Loss  0.540355, Time  0.461504
2021-09-07 06:39:06.434200 : Epoch  7, Batch    535, Loss  0.537332, Average Loss  0.540414, Time  0.461392
2021-09-07 06:39:08.313420 : Epoch  7, Batch    536, Loss  0.541630, Average Loss  0.540394, Time  0.461833
2021-09-07 06:39:10.191549 : Epoch  7, Batch    537, Loss  0.541676, Average Loss  0.540389, Time  0.460782
2021-09-07 06:39:12.063526 : Epoch  7, Batch    538, Loss  0.534230, Average Loss  0.540371, Time  0.461420
2021-09-07 06:39:13.931348 : Epoch  7, Batch    539, Loss  0.538151, Average Loss  0.540394, Time  0.461392
2021-09-07 06:39:15.822869 : Epoch  7, Batch    540, Loss  0.536506, Average Loss  0.540419, Time  0.462162
2021-09-07 06:39:17.711287 : Epoch  7, Batch    541, Loss  0.550601, Average Loss  0.540516, Time  0.462714
2021-09-07 06:39:19.580411 : Epoch  7, Batch    542, Loss  0.522436, Average Loss  0.540351, Time  0.460944
2021-09-07 06:39:21.449380 : Epoch  7, Batch    543, Loss  0.534437, Average Loss  0.540261, Time  0.461152
2021-09-07 06:39:23.316722 : Epoch  7, Batch    544, Loss  0.530524, Average Loss  0.540260, Time  0.461062
2021-09-07 06:39:25.221324 : Epoch  7, Batch    545, Loss  0.536692, Average Loss  0.540241, Time  0.461845
2021-09-07 06:39:27.111386 : Epoch  7, Batch    546, Loss  0.537078, Average Loss  0.540327, Time  0.463428
2021-09-07 06:39:28.993387 : Epoch  7, Batch    547, Loss  0.552384, Average Loss  0.540418, Time  0.462175
2021-09-07 06:39:30.858959 : Epoch  7, Batch    548, Loss  0.525525, Average Loss  0.540350, Time  0.460750
2021-09-07 06:39:34.825613 : Epoch  7, Batch    549, Loss  0.525546, Average Loss  0.540285, Time  0.474829
2021-09-07 06:39:36.706969 : Epoch  7, Batch    550, Loss  0.534201, Average Loss  0.540225, Time  0.460702
2021-09-07 06:39:38.584981 : Epoch  7, Batch    551, Loss  0.539583, Average Loss  0.540164, Time  0.460853
2021-09-07 06:39:40.449407 : Epoch  7, Batch    552, Loss  0.539594, Average Loss  0.540148, Time  0.461691
2021-09-07 06:39:42.310935 : Epoch  7, Batch    553, Loss  0.535784, Average Loss  0.540105, Time  0.461460
2021-09-07 06:39:44.195157 : Epoch  7, Batch    554, Loss  0.528538, Average Loss  0.540062, Time  0.461476
2021-09-07 06:39:46.084801 : Epoch  7, Batch    555, Loss  0.524777, Average Loss  0.539966, Time  0.461467
2021-09-07 06:39:47.965258 : Epoch  7, Batch    556, Loss  0.544208, Average Loss  0.540010, Time  0.460531
2021-09-07 06:39:49.857355 : Epoch  7, Batch    557, Loss  0.544658, Average Loss  0.540023, Time  0.462188
2021-09-07 06:39:51.731862 : Epoch  7, Batch    558, Loss  0.549897, Average Loss  0.540107, Time  0.460689
2021-09-07 06:39:53.600954 : Epoch  7, Batch    559, Loss  0.543053, Average Loss  0.540157, Time  0.461703
2021-09-07 06:39:55.474465 : Epoch  7, Batch    560, Loss  0.539198, Average Loss  0.540076, Time  0.461218
2021-09-07 06:39:57.341367 : Epoch  7, Batch    561, Loss  0.548291, Average Loss  0.540078, Time  0.460659
2021-09-07 06:39:59.213829 : Epoch  7, Batch    562, Loss  0.535712, Average Loss  0.540007, Time  0.462114
2021-09-07 06:40:01.092099 : Epoch  7, Batch    563, Loss  0.539565, Average Loss  0.540016, Time  0.461395
2021-09-07 06:40:02.960969 : Epoch  7, Batch    564, Loss  0.540597, Average Loss  0.540024, Time  0.460643
2021-09-07 06:40:04.828457 : Epoch  7, Batch    565, Loss  0.533469, Average Loss  0.539989, Time  0.460865
2021-09-07 06:40:06.705191 : Epoch  7, Batch    566, Loss  0.533385, Average Loss  0.540008, Time  0.461855
2021-09-07 06:40:08.594018 : Epoch  7, Batch    567, Loss  0.551769, Average Loss  0.540068, Time  0.461525
2021-09-07 06:40:10.459023 : Epoch  7, Batch    568, Loss  0.538894, Average Loss  0.540081, Time  0.461800
2021-09-07 06:40:12.338114 : Epoch  7, Batch    569, Loss  0.541194, Average Loss  0.540064, Time  0.461338
2021-09-07 06:40:14.198092 : Epoch  7, Batch    570, Loss  0.536550, Average Loss  0.540056, Time  0.461026
2021-09-07 06:40:16.063508 : Epoch  7, Batch    571, Loss  0.525479, Average Loss  0.539959, Time  0.461802
2021-09-07 06:40:17.935236 : Epoch  7, Batch    572, Loss  0.538325, Average Loss  0.540024, Time  0.462303
2021-09-07 06:40:19.794895 : Epoch  7, Batch    573, Loss  0.540478, Average Loss  0.540122, Time  0.461986
2021-09-07 06:40:21.666199 : Epoch  7, Batch    574, Loss  0.519907, Average Loss  0.540011, Time  0.461358
2021-09-07 06:40:23.521088 : Epoch  7, Batch    575, Loss  0.534996, Average Loss  0.540018, Time  0.460972
2021-09-07 06:40:25.384855 : Epoch  7, Batch    576, Loss  0.530041, Average Loss  0.539996, Time  0.461940
2021-09-07 06:40:27.266234 : Epoch  7, Batch    577, Loss  0.545660, Average Loss  0.540047, Time  0.461698
2021-09-07 06:40:29.126839 : Epoch  7, Batch    578, Loss  0.537347, Average Loss  0.540061, Time  0.461040
2021-09-07 06:41:33.241917 : CheckPoint: Validation Loss  0.00021895, Best Loss  0.00021621
2021-09-07 06:41:35.117827 : Epoch  7, Batch    579, Loss  0.537888, Average Loss  0.539980, Time  0.461661
2021-09-07 06:41:36.998296 : Epoch  7, Batch    580, Loss  0.539246, Average Loss  0.540010, Time  0.461764
2021-09-07 06:41:38.862977 : Epoch  7, Batch    581, Loss  0.546993, Average Loss  0.540024, Time  0.461443
2021-09-07 06:41:40.742173 : Epoch  7, Batch    582, Loss  0.535927, Average Loss  0.540059, Time  0.461761
2021-09-07 06:41:42.628409 : Epoch  7, Batch    583, Loss  0.539666, Average Loss  0.540144, Time  0.461827
2021-09-07 06:41:44.491437 : Epoch  7, Batch    584, Loss  0.542525, Average Loss  0.540172, Time  0.461249
2021-09-07 06:41:46.358153 : Epoch  7, Batch    585, Loss  0.538835, Average Loss  0.540145, Time  0.460901
2021-09-07 06:41:48.222064 : Epoch  7, Batch    586, Loss  0.535535, Average Loss  0.540092, Time  0.461784
2021-09-07 06:41:50.097313 : Epoch  7, Batch    587, Loss  0.538522, Average Loss  0.540069, Time  0.461523
2021-09-07 06:41:51.995108 : Epoch  7, Batch    588, Loss  0.546914, Average Loss  0.540089, Time  0.461954
2021-09-07 06:41:53.871173 : Epoch  7, Batch    589, Loss  0.537446, Average Loss  0.540025, Time  0.460999
2021-09-07 06:41:55.728208 : Epoch  7, Batch    590, Loss  0.542032, Average Loss  0.540027, Time  0.461658
2021-09-07 06:41:57.592463 : Epoch  7, Batch    591, Loss  0.530028, Average Loss  0.539955, Time  0.460502
2021-09-07 06:41:59.443453 : Epoch  7, Batch    592, Loss  0.540583, Average Loss  0.539994, Time  0.460104
2021-09-07 06:42:01.322132 : Epoch  7, Batch    593, Loss  0.537261, Average Loss  0.539940, Time  0.461754
2021-09-07 06:42:03.196793 : Epoch  7, Batch    594, Loss  0.535037, Average Loss  0.539868, Time  0.460836
2021-09-07 06:42:05.054630 : Epoch  7, Batch    595, Loss  0.528546, Average Loss  0.539847, Time  0.460650
2021-09-07 06:42:06.927734 : Epoch  7, Batch    596, Loss  0.546192, Average Loss  0.539953, Time  0.461996
2021-09-07 06:42:08.794928 : Epoch  7, Batch    597, Loss  0.542367, Average Loss  0.539897, Time  0.460820
2021-09-07 06:42:10.648627 : Epoch  7, Batch    598, Loss  0.533551, Average Loss  0.539876, Time  0.461235
2021-09-07 06:42:12.526240 : Epoch  7, Batch    599, Loss  0.538892, Average Loss  0.539771, Time  0.462301
2021-09-07 06:42:14.403289 : Epoch  7, Batch    600, Loss  0.543044, Average Loss  0.539784, Time  0.461231
2021-09-07 06:42:16.268655 : Epoch  7, Batch    601, Loss  0.553088, Average Loss  0.539886, Time  0.461860
2021-09-07 06:42:18.127286 : Epoch  7, Batch    602, Loss  0.530864, Average Loss  0.539873, Time  0.462424
2021-09-07 06:42:19.991419 : Epoch  7, Batch    603, Loss  0.544179, Average Loss  0.539885, Time  0.461317
2021-09-07 06:42:21.857727 : Epoch  7, Batch    604, Loss  0.530450, Average Loss  0.539874, Time  0.461899
2021-09-07 06:42:23.733951 : Epoch  7, Batch    605, Loss  0.539025, Average Loss  0.539870, Time  0.461966
2021-09-07 06:42:25.609365 : Epoch  7, Batch    606, Loss  0.536812, Average Loss  0.539863, Time  0.462101
2021-09-07 06:42:27.487810 : Epoch  7, Batch    607, Loss  0.540281, Average Loss  0.539848, Time  0.461443
2021-09-07 06:42:29.350269 : Epoch  7, Batch    608, Loss  0.536779, Average Loss  0.539743, Time  0.461120
2021-09-07 06:42:31.208640 : Epoch  7, Batch    609, Loss  0.546566, Average Loss  0.539733, Time  0.461169
2021-09-07 06:42:33.066241 : Epoch  7, Batch    610, Loss  0.538641, Average Loss  0.539688, Time  0.461035
2021-09-07 06:42:34.937381 : Epoch  7, Batch    611, Loss  0.546463, Average Loss  0.539741, Time  0.460225
2021-09-07 06:42:36.794119 : Epoch  7, Batch    612, Loss  0.529641, Average Loss  0.539660, Time  0.460994
2021-09-07 06:42:38.655895 : Epoch  7, Batch    613, Loss  0.528242, Average Loss  0.539526, Time  0.462192
2021-09-07 06:42:40.537707 : Epoch  7, Batch    614, Loss  0.536097, Average Loss  0.539505, Time  0.462024
2021-09-07 06:42:42.398175 : Epoch  7, Batch    615, Loss  0.546983, Average Loss  0.539471, Time  0.461961
2021-09-07 06:42:44.264084 : Epoch  7, Batch    616, Loss  0.540536, Average Loss  0.539375, Time  0.460719
2021-09-07 06:42:46.121821 : Epoch  7, Batch    617, Loss  0.537760, Average Loss  0.539281, Time  0.460775
2021-09-07 06:42:47.977795 : Epoch  7, Batch    618, Loss  0.525558, Average Loss  0.539187, Time  0.461175
2021-09-07 06:42:49.841764 : Epoch  7, Batch    619, Loss  0.540564, Average Loss  0.539209, Time  0.460771
2021-09-07 06:42:51.716123 : Epoch  7, Batch    620, Loss  0.546443, Average Loss  0.539156, Time  0.461602
2021-09-07 06:42:53.576298 : Epoch  7, Batch    621, Loss  0.542039, Average Loss  0.539127, Time  0.463428
2021-09-07 06:42:55.440088 : Epoch  7, Batch    622, Loss  0.542583, Average Loss  0.539073, Time  0.461209
2021-09-07 06:42:57.294339 : Epoch  7, Batch    623, Loss  0.534574, Average Loss  0.539096, Time  0.460934
2021-09-07 06:42:59.150286 : Epoch  7, Batch    624, Loss  0.532070, Average Loss  0.539025, Time  0.460791
2021-09-07 06:43:01.019304 : Epoch  7, Batch    625, Loss  0.530857, Average Loss  0.538928, Time  0.461561
2021-09-07 06:43:02.876525 : Epoch  7, Batch    626, Loss  0.522482, Average Loss  0.538854, Time  0.460819
2021-09-07 06:43:04.735252 : Epoch  7, Batch    627, Loss  0.526333, Average Loss  0.538784, Time  0.461764
2021-09-07 06:43:06.613643 : Epoch  7, Batch    628, Loss  0.529634, Average Loss  0.538628, Time  0.462130
2021-09-07 06:43:08.491812 : Epoch  7, Batch    629, Loss  0.534344, Average Loss  0.538593, Time  0.462082
2021-09-07 06:43:10.360017 : Epoch  7, Batch    630, Loss  0.537900, Average Loss  0.538563, Time  0.461379
2021-09-07 06:43:12.229496 : Epoch  7, Batch    631, Loss  0.527097, Average Loss  0.538492, Time  0.462406
2021-09-07 06:43:14.114003 : Epoch  7, Batch    632, Loss  0.547769, Average Loss  0.538463, Time  0.462116
2021-09-07 06:43:15.999548 : Epoch  7, Batch    633, Loss  0.535088, Average Loss  0.538496, Time  0.463178
2021-09-07 06:43:17.887797 : Epoch  7, Batch    634, Loss  0.545915, Average Loss  0.538438, Time  0.461840
2021-09-07 06:43:19.778127 : Epoch  7, Batch    635, Loss  0.539023, Average Loss  0.538445, Time  0.460901
2021-09-07 06:43:21.640073 : Epoch  7, Batch    636, Loss  0.545311, Average Loss  0.538504, Time  0.461738
2021-09-07 06:43:23.546665 : Epoch  7, Batch    637, Loss  0.544737, Average Loss  0.538517, Time  0.461719
2021-09-07 06:43:25.408154 : Epoch  7, Batch    638, Loss  0.536872, Average Loss  0.538489, Time  0.460500
2021-09-07 06:43:27.277219 : Epoch  7, Batch    639, Loss  0.557881, Average Loss  0.538595, Time  0.462222
2021-09-07 06:43:29.183674 : Epoch  7, Batch    640, Loss  0.543166, Average Loss  0.538565, Time  0.460703
2021-09-07 06:43:31.051893 : Epoch  7, Batch    641, Loss  0.550503, Average Loss  0.538601, Time  0.461782
2021-09-07 06:43:32.921834 : Epoch  7, Batch    642, Loss  0.526911, Average Loss  0.538587, Time  0.461183
2021-09-07 06:43:34.797262 : Epoch  7, Batch    643, Loss  0.539788, Average Loss  0.538539, Time  0.460311
2021-09-07 06:43:36.656202 : Epoch  7, Batch    644, Loss  0.541065, Average Loss  0.538514, Time  0.462986
2021-09-07 06:43:38.522552 : Epoch  7, Batch    645, Loss  0.533729, Average Loss  0.538484, Time  0.461844
2021-09-07 06:43:40.395438 : Epoch  7, Batch    646, Loss  0.543051, Average Loss  0.538541, Time  0.461019
2021-09-07 06:43:42.262591 : Epoch  7, Batch    647, Loss  0.535433, Average Loss  0.538558, Time  0.461899
2021-09-07 06:43:44.124500 : Epoch  7, Batch    648, Loss  0.533397, Average Loss  0.538468, Time  0.461316
2021-09-07 06:43:48.092845 : Epoch  7, Batch    649, Loss  0.527754, Average Loss  0.538365, Time  0.470834
2021-09-07 06:43:49.954399 : Epoch  7, Batch    650, Loss  0.530876, Average Loss  0.538329, Time  0.461684
2021-09-07 06:43:51.816076 : Epoch  7, Batch    651, Loss  0.548605, Average Loss  0.538377, Time  0.460979
2021-09-07 06:43:53.670561 : Epoch  7, Batch    652, Loss  0.542618, Average Loss  0.538423, Time  0.461045
2021-09-07 06:43:55.545418 : Epoch  7, Batch    653, Loss  0.543636, Average Loss  0.538434, Time  0.461831
2021-09-07 06:43:57.427356 : Epoch  7, Batch    654, Loss  0.535655, Average Loss  0.538391, Time  0.461039
2021-09-07 06:43:59.302270 : Epoch  7, Batch    655, Loss  0.531828, Average Loss  0.538385, Time  0.460946
2021-09-07 06:44:01.156298 : Epoch  7, Batch    656, Loss  0.544008, Average Loss  0.538416, Time  0.461677
2021-09-07 06:44:03.022031 : Epoch  7, Batch    657, Loss  0.549323, Average Loss  0.538510, Time  0.462805
2021-09-07 06:44:04.880739 : Epoch  7, Batch    658, Loss  0.522180, Average Loss  0.538359, Time  0.460876
2021-09-07 06:44:06.742040 : Epoch  7, Batch    659, Loss  0.539328, Average Loss  0.538386, Time  0.462113
2021-09-07 06:44:08.619682 : Epoch  7, Batch    660, Loss  0.542614, Average Loss  0.538384, Time  0.461052
2021-09-07 06:44:10.475287 : Epoch  7, Batch    661, Loss  0.541188, Average Loss  0.538383, Time  0.462061
2021-09-07 06:44:12.338252 : Epoch  7, Batch    662, Loss  0.533314, Average Loss  0.538364, Time  0.461805
2021-09-07 06:44:14.203145 : Epoch  7, Batch    663, Loss  0.543599, Average Loss  0.538373, Time  0.461157
2021-09-07 06:44:16.100724 : Epoch  7, Batch    664, Loss  0.532438, Average Loss  0.538334, Time  0.461636
2021-09-07 06:44:17.986257 : Epoch  7, Batch    665, Loss  0.543374, Average Loss  0.538331, Time  0.461506
2021-09-07 06:44:19.855158 : Epoch  7, Batch    666, Loss  0.523040, Average Loss  0.538200, Time  0.461576
2021-09-07 06:44:21.724233 : Epoch  7, Batch    667, Loss  0.526679, Average Loss  0.538157, Time  0.463545
2021-09-07 06:44:23.583857 : Epoch  7, Batch    668, Loss  0.533912, Average Loss  0.538201, Time  0.460781
2021-09-07 06:44:25.455345 : Epoch  7, Batch    669, Loss  0.536500, Average Loss  0.538185, Time  0.460748
2021-09-07 06:44:27.325966 : Epoch  7, Batch    670, Loss  0.546630, Average Loss  0.538262, Time  0.461621
2021-09-07 06:44:29.207628 : Epoch  7, Batch    671, Loss  0.524902, Average Loss  0.538225, Time  0.461513
2021-09-07 06:44:31.093969 : Epoch  7, Batch    672, Loss  0.525890, Average Loss  0.538149, Time  0.460579
2021-09-07 06:44:32.954870 : Epoch  7, Batch    673, Loss  0.528323, Average Loss  0.538127, Time  0.460411
2021-09-07 06:44:34.820720 : Epoch  7, Batch    674, Loss  0.530521, Average Loss  0.538010, Time  0.461447
2021-09-07 06:44:36.686628 : Epoch  7, Batch    675, Loss  0.530657, Average Loss  0.537961, Time  0.461752
2021-09-07 06:44:38.553314 : Epoch  7, Batch    676, Loss  0.531545, Average Loss  0.537940, Time  0.460726
2021-09-07 06:44:40.428445 : Epoch  7, Batch    677, Loss  0.529566, Average Loss  0.537892, Time  0.462321
2021-09-07 06:44:42.310939 : Epoch  7, Batch    678, Loss  0.539827, Average Loss  0.537817, Time  0.461863
2021-09-07 06:45:46.290921 : CheckPoint: Validation Loss  0.00022793, Best Loss  0.00021621
2021-09-07 06:45:48.183673 : Epoch  7, Batch    679, Loss  0.531487, Average Loss  0.537782, Time  0.462030
2021-09-07 06:45:50.067903 : Epoch  7, Batch    680, Loss  0.521495, Average Loss  0.537677, Time  0.462252
2021-09-07 06:45:51.951035 : Epoch  7, Batch    681, Loss  0.541025, Average Loss  0.537647, Time  0.460910
2021-09-07 06:45:53.856772 : Epoch  7, Batch    682, Loss  0.539245, Average Loss  0.537670, Time  0.461988
2021-09-07 06:45:55.732615 : Epoch  7, Batch    683, Loss  0.545690, Average Loss  0.537700, Time  0.460651
2021-09-07 06:45:57.591681 : Epoch  7, Batch    684, Loss  0.529396, Average Loss  0.537635, Time  0.460516
2021-09-07 06:45:59.473325 : Epoch  7, Batch    685, Loss  0.533146, Average Loss  0.537580, Time  0.461909
2021-09-07 06:46:01.363289 : Epoch  7, Batch    686, Loss  0.555790, Average Loss  0.537639, Time  0.461546
2021-09-07 06:46:03.250290 : Epoch  7, Batch    687, Loss  0.538191, Average Loss  0.537617, Time  0.461935
2021-09-07 06:46:05.123092 : Epoch  7, Batch    688, Loss  0.543300, Average Loss  0.537660, Time  0.460643
2021-09-07 06:46:06.988196 : Epoch  7, Batch    689, Loss  0.521506, Average Loss  0.537579, Time  0.461264
2021-09-07 06:46:08.874835 : Epoch  7, Batch    690, Loss  0.535859, Average Loss  0.537637, Time  0.461209
2021-09-07 06:46:10.757921 : Epoch  7, Batch    691, Loss  0.535195, Average Loss  0.537511, Time  0.461190
2021-09-07 06:46:12.628523 : Epoch  7, Batch    692, Loss  0.547045, Average Loss  0.537551, Time  0.460531
2021-09-07 06:46:14.496111 : Epoch  7, Batch    693, Loss  0.528086, Average Loss  0.537501, Time  0.460469
2021-09-07 06:46:16.361867 : Epoch  7, Batch    694, Loss  0.538651, Average Loss  0.537503, Time  0.460889
2021-09-07 06:46:18.236422 : Epoch  7, Batch    695, Loss  0.539473, Average Loss  0.537490, Time  0.461310
2021-09-07 06:46:20.117908 : Epoch  7, Batch    696, Loss  0.541259, Average Loss  0.537572, Time  0.461801
2021-09-07 06:46:21.983373 : Epoch  7, Batch    697, Loss  0.535755, Average Loss  0.537593, Time  0.460593
2021-09-07 06:46:23.843058 : Epoch  7, Batch    698, Loss  0.541389, Average Loss  0.537613, Time  0.460531
2021-09-07 06:46:25.706692 : Epoch  7, Batch    699, Loss  0.536379, Average Loss  0.537608, Time  0.461114
2021-09-07 06:46:27.587534 : Epoch  7, Batch    700, Loss  0.540947, Average Loss  0.537649, Time  0.461562
2021-09-07 06:46:29.516201 : Epoch  7, Batch    701, Loss  0.543153, Average Loss  0.537679, Time  0.461817
2021-09-07 06:46:31.397800 : Epoch  7, Batch    702, Loss  0.530582, Average Loss  0.537655, Time  0.461841
2021-09-07 06:46:33.283560 : Epoch  7, Batch    703, Loss  0.537375, Average Loss  0.537659, Time  0.462374
2021-09-07 06:46:35.156427 : Epoch  7, Batch    704, Loss  0.543911, Average Loss  0.537616, Time  0.460635
2021-09-07 06:46:37.039072 : Epoch  7, Batch    705, Loss  0.536653, Average Loss  0.537595, Time  0.460190
2021-09-07 06:46:38.915078 : Epoch  7, Batch    706, Loss  0.535876, Average Loss  0.537560, Time  0.461329
2021-09-07 06:46:40.792967 : Epoch  7, Batch    707, Loss  0.537901, Average Loss  0.537520, Time  0.460662
2021-09-07 06:46:42.660144 : Epoch  7, Batch    708, Loss  0.546956, Average Loss  0.537569, Time  0.461091
2021-09-07 06:46:44.557918 : Epoch  7, Batch    709, Loss  0.546341, Average Loss  0.537629, Time  0.460727
2021-09-07 06:46:46.425206 : Epoch  7, Batch    710, Loss  0.534350, Average Loss  0.537622, Time  0.460796
2021-09-07 06:46:48.301751 : Epoch  7, Batch    711, Loss  0.539553, Average Loss  0.537623, Time  0.461047
2021-09-07 06:46:50.173100 : Epoch  7, Batch    712, Loss  0.520390, Average Loss  0.537588, Time  0.461361
2021-09-07 06:46:52.053498 : Epoch  7, Batch    713, Loss  0.546932, Average Loss  0.537664, Time  0.461404
2021-09-07 06:46:53.923649 : Epoch  7, Batch    714, Loss  0.526865, Average Loss  0.537585, Time  0.461211
2021-09-07 06:46:55.786731 : Epoch  7, Batch    715, Loss  0.539084, Average Loss  0.537578, Time  0.460367
2021-09-07 06:46:57.682357 : Epoch  7, Batch    716, Loss  0.539620, Average Loss  0.537620, Time  0.461276
2021-09-07 06:46:59.573786 : Epoch  7, Batch    717, Loss  0.537700, Average Loss  0.537664, Time  0.465186
2021-09-07 06:47:01.461703 : Epoch  7, Batch    718, Loss  0.527009, Average Loss  0.537580, Time  0.462111
2021-09-07 06:47:03.347312 : Epoch  7, Batch    719, Loss  0.542146, Average Loss  0.537602, Time  0.461656
2021-09-07 06:47:05.227251 : Epoch  7, Batch    720, Loss  0.539943, Average Loss  0.537560, Time  0.460913
2021-09-07 06:47:07.096670 : Epoch  7, Batch    721, Loss  0.530958, Average Loss  0.537458, Time  0.461754
2021-09-07 06:47:08.975175 : Epoch  7, Batch    722, Loss  0.535405, Average Loss  0.537539, Time  0.460888
2021-09-07 06:47:10.848904 : Epoch  7, Batch    723, Loss  0.531771, Average Loss  0.537448, Time  0.462175
2021-09-07 06:47:12.719719 : Epoch  7, Batch    724, Loss  0.533747, Average Loss  0.537475, Time  0.461911
2021-09-07 06:47:14.608201 : Epoch  7, Batch    725, Loss  0.534079, Average Loss  0.537483, Time  0.461638
2021-09-07 06:47:16.502901 : Epoch  7, Batch    726, Loss  0.534091, Average Loss  0.537462, Time  0.461670
2021-09-07 06:47:18.398395 : Epoch  7, Batch    727, Loss  0.532240, Average Loss  0.537395, Time  0.461954
2021-09-07 06:47:20.288492 : Epoch  7, Batch    728, Loss  0.545333, Average Loss  0.537356, Time  0.462415
2021-09-07 06:47:22.154817 : Epoch  7, Batch    729, Loss  0.548685, Average Loss  0.537384, Time  0.461347
2021-09-07 06:47:24.035366 : Epoch  7, Batch    730, Loss  0.534199, Average Loss  0.537363, Time  0.461975
2021-09-07 06:47:25.907544 : Epoch  7, Batch    731, Loss  0.530855, Average Loss  0.537317, Time  0.461029
2021-09-07 06:47:27.781990 : Epoch  7, Batch    732, Loss  0.528491, Average Loss  0.537289, Time  0.461747
2021-09-07 06:47:29.659521 : Epoch  7, Batch    733, Loss  0.527905, Average Loss  0.537248, Time  0.461779
2021-09-07 06:47:31.540020 : Epoch  7, Batch    734, Loss  0.541720, Average Loss  0.537270, Time  0.460616
2021-09-07 06:47:33.422532 : Epoch  7, Batch    735, Loss  0.538157, Average Loss  0.537274, Time  0.461491
2021-09-07 06:47:35.298388 : Epoch  7, Batch    736, Loss  0.541428, Average Loss  0.537273, Time  0.461673
2021-09-07 06:47:37.182355 : Epoch  7, Batch    737, Loss  0.525328, Average Loss  0.537191, Time  0.461200
2021-09-07 06:47:39.054814 : Epoch  7, Batch    738, Loss  0.536645, Average Loss  0.537203, Time  0.462003
2021-09-07 06:47:40.945421 : Epoch  7, Batch    739, Loss  0.547572, Average Loss  0.537250, Time  0.461389
2021-09-07 06:47:42.833116 : Epoch  7, Batch    740, Loss  0.533331, Average Loss  0.537234, Time  0.461862
2021-09-07 06:47:44.714986 : Epoch  7, Batch    741, Loss  0.537851, Average Loss  0.537170, Time  0.462144
2021-09-07 06:47:46.584977 : Epoch  7, Batch    742, Loss  0.533841, Average Loss  0.537227, Time  0.460994
2021-09-07 06:47:48.452486 : Epoch  7, Batch    743, Loss  0.528560, Average Loss  0.537198, Time  0.460885
2021-09-07 06:47:50.335043 : Epoch  7, Batch    744, Loss  0.531693, Average Loss  0.537204, Time  0.461784
2021-09-07 06:47:52.216849 : Epoch  7, Batch    745, Loss  0.540426, Average Loss  0.537223, Time  0.461918
2021-09-07 06:47:54.092658 : Epoch  7, Batch    746, Loss  0.544577, Average Loss  0.537260, Time  0.460970
2021-09-07 06:47:55.970131 : Epoch  7, Batch    747, Loss  0.533139, Average Loss  0.537164, Time  0.461008
2021-09-07 06:47:57.835334 : Epoch  7, Batch    748, Loss  0.542774, Average Loss  0.537250, Time  0.461438
2021-09-07 06:48:01.845851 : Epoch  7, Batch    749, Loss  0.541073, Average Loss  0.537328, Time  0.476951
2021-09-07 06:48:03.709943 : Epoch  7, Batch    750, Loss  0.533093, Average Loss  0.537322, Time  0.461998
2021-09-07 06:48:05.574905 : Epoch  7, Batch    751, Loss  0.543114, Average Loss  0.537340, Time  0.460673
2021-09-07 06:48:07.436218 : Epoch  7, Batch    752, Loss  0.541521, Average Loss  0.537350, Time  0.460570
2021-09-07 06:48:09.300798 : Epoch  7, Batch    753, Loss  0.544258, Average Loss  0.537392, Time  0.461962
2021-09-07 06:48:11.181064 : Epoch  7, Batch    754, Loss  0.543038, Average Loss  0.537464, Time  0.461850
2021-09-07 06:48:13.063825 : Epoch  7, Batch    755, Loss  0.542781, Average Loss  0.537554, Time  0.461490
2021-09-07 06:48:14.956143 : Epoch  7, Batch    756, Loss  0.522436, Average Loss  0.537446, Time  0.462084
2021-09-07 06:48:16.840826 : Epoch  7, Batch    757, Loss  0.533656, Average Loss  0.537391, Time  0.463048
2021-09-07 06:48:18.732920 : Epoch  7, Batch    758, Loss  0.531701, Average Loss  0.537300, Time  0.461903
2021-09-07 06:48:20.619435 : Epoch  7, Batch    759, Loss  0.528096, Average Loss  0.537225, Time  0.460524
2021-09-07 06:48:22.507322 : Epoch  7, Batch    760, Loss  0.539293, Average Loss  0.537225, Time  0.461053
2021-09-07 06:48:24.375827 : Epoch  7, Batch    761, Loss  0.542922, Average Loss  0.537198, Time  0.462608
2021-09-07 06:48:26.259314 : Epoch  7, Batch    762, Loss  0.540148, Average Loss  0.537221, Time  0.461000
2021-09-07 06:48:28.134226 : Epoch  7, Batch    763, Loss  0.544140, Average Loss  0.537243, Time  0.461518
2021-09-07 06:48:30.017657 : Epoch  7, Batch    764, Loss  0.526574, Average Loss  0.537173, Time  0.461766
2021-09-07 06:48:31.902967 : Epoch  7, Batch    765, Loss  0.539465, Average Loss  0.537203, Time  0.461591
2021-09-07 06:48:33.782348 : Epoch  7, Batch    766, Loss  0.527315, Average Loss  0.537173, Time  0.460713
2021-09-07 06:48:35.652820 : Epoch  7, Batch    767, Loss  0.544349, Average Loss  0.537136, Time  0.460755
2021-09-07 06:48:37.516734 : Epoch  7, Batch    768, Loss  0.528915, Average Loss  0.537086, Time  0.460720
2021-09-07 06:48:39.381836 : Epoch  7, Batch    769, Loss  0.538833, Average Loss  0.537074, Time  0.461118
2021-09-07 06:48:41.263175 : Epoch  7, Batch    770, Loss  0.551164, Average Loss  0.537147, Time  0.461827
2021-09-07 06:48:43.142391 : Epoch  7, Batch    771, Loss  0.535745, Average Loss  0.537199, Time  0.460704
2021-09-07 06:48:45.012741 : Epoch  7, Batch    772, Loss  0.533328, Average Loss  0.537174, Time  0.461054
2021-09-07 06:48:46.880245 : Epoch  7, Batch    773, Loss  0.540207, Average Loss  0.537172, Time  0.462260
2021-09-07 06:48:48.756942 : Epoch  7, Batch    774, Loss  0.539147, Average Loss  0.537268, Time  0.460792
2021-09-07 06:48:50.626323 : Epoch  7, Batch    775, Loss  0.541591, Average Loss  0.537301, Time  0.461408
2021-09-07 06:48:52.504842 : Epoch  7, Batch    776, Loss  0.548528, Average Loss  0.537394, Time  0.462177
2021-09-07 06:48:54.392234 : Epoch  7, Batch    777, Loss  0.532054, Average Loss  0.537326, Time  0.462015
2021-09-07 06:48:56.272577 : Epoch  7, Batch    778, Loss  0.524131, Average Loss  0.537260, Time  0.463506
2021-09-07 06:50:00.315983 : CheckPoint: Validation Loss  0.00021885, Best Loss  0.00021621
2021-09-07 06:50:02.194982 : Epoch  7, Batch    779, Loss  0.530057, Average Loss  0.537221, Time  0.461418
2021-09-07 06:50:04.052765 : Epoch  7, Batch    780, Loss  0.546023, Average Loss  0.537254, Time  0.460243
2021-09-07 06:50:05.950929 : Epoch  7, Batch    781, Loss  0.530736, Average Loss  0.537173, Time  0.460503
2021-09-07 06:50:07.819453 : Epoch  7, Batch    782, Loss  0.527817, Average Loss  0.537133, Time  0.461896
2021-09-07 06:50:09.708465 : Epoch  7, Batch    783, Loss  0.531299, Average Loss  0.537091, Time  0.460494
2021-09-07 06:50:11.593984 : Epoch  7, Batch    784, Loss  0.539583, Average Loss  0.537076, Time  0.461515
2021-09-07 06:50:13.467661 : Epoch  7, Batch    785, Loss  0.533400, Average Loss  0.537049, Time  0.462283
2021-09-07 06:50:15.344292 : Epoch  7, Batch    786, Loss  0.531723, Average Loss  0.537030, Time  0.460778
2021-09-07 06:50:17.208136 : Epoch  7, Batch    787, Loss  0.539053, Average Loss  0.537032, Time  0.461910
2021-09-07 06:50:17.234654 : Saving Model after 7-th Epoch.
2021-09-07 06:50:21.537640 : Epoch Finished.
2021-09-07 06:50:23.614536 : Batch Shuffled
2021-09-07 06:50:25.536009 : Epoch  8, Batch      1, Loss  0.542603, Average Loss  0.537011, Time  0.469525
2021-09-07 06:50:27.463225 : Epoch  8, Batch      2, Loss  0.529981, Average Loss  0.536974, Time  0.463566
2021-09-07 06:50:29.370079 : Epoch  8, Batch      3, Loss  0.536759, Average Loss  0.536947, Time  0.463700
2021-09-07 06:50:31.284687 : Epoch  8, Batch      4, Loss  0.546473, Average Loss  0.537029, Time  0.461212
2021-09-07 06:50:33.175757 : Epoch  8, Batch      5, Loss  0.534213, Average Loss  0.536998, Time  0.462719
2021-09-07 06:50:35.071969 : Epoch  8, Batch      6, Loss  0.542063, Average Loss  0.537022, Time  0.461755
2021-09-07 06:50:36.961669 : Epoch  8, Batch      7, Loss  0.533254, Average Loss  0.537013, Time  0.463483
2021-09-07 06:50:38.878148 : Epoch  8, Batch      8, Loss  0.530421, Average Loss  0.537022, Time  0.462178
2021-09-07 06:50:40.792642 : Epoch  8, Batch      9, Loss  0.534597, Average Loss  0.536964, Time  0.463563
2021-09-07 06:50:42.671046 : Epoch  8, Batch     10, Loss  0.544081, Average Loss  0.536973, Time  0.461851
2021-09-07 06:50:44.565347 : Epoch  8, Batch     11, Loss  0.549490, Average Loss  0.537052, Time  0.461488
2021-09-07 06:50:46.455349 : Epoch  8, Batch     12, Loss  0.534052, Average Loss  0.537028, Time  0.461170
2021-09-07 06:50:48.327100 : Epoch  8, Batch     13, Loss  0.530436, Average Loss  0.536965, Time  0.462177
2021-09-07 06:50:50.190928 : Epoch  8, Batch     14, Loss  0.531812, Average Loss  0.536859, Time  0.460729
2021-09-07 06:50:52.054027 : Epoch  8, Batch     15, Loss  0.539389, Average Loss  0.536901, Time  0.461453
2021-09-07 06:50:53.940312 : Epoch  8, Batch     16, Loss  0.546544, Average Loss  0.536913, Time  0.461218
2021-09-07 06:50:55.799762 : Epoch  8, Batch     17, Loss  0.539734, Average Loss  0.536960, Time  0.460659
2021-09-07 06:50:57.676657 : Epoch  8, Batch     18, Loss  0.529908, Average Loss  0.536914, Time  0.460763
2021-09-07 06:50:59.542237 : Epoch  8, Batch     19, Loss  0.536767, Average Loss  0.536914, Time  0.461257
2021-09-07 06:51:01.413179 : Epoch  8, Batch     20, Loss  0.533338, Average Loss  0.536879, Time  0.460764
2021-09-07 06:51:03.293708 : Epoch  8, Batch     21, Loss  0.536766, Average Loss  0.536879, Time  0.461661
2021-09-07 06:51:05.155954 : Epoch  8, Batch     22, Loss  0.539011, Average Loss  0.536841, Time  0.460480
2021-09-07 06:51:07.027015 : Epoch  8, Batch     23, Loss  0.538852, Average Loss  0.536842, Time  0.461694
2021-09-07 06:51:08.903515 : Epoch  8, Batch     24, Loss  0.541303, Average Loss  0.536817, Time  0.460854
2021-09-07 06:51:10.769781 : Epoch  8, Batch     25, Loss  0.533757, Average Loss  0.536837, Time  0.464165
2021-09-07 06:51:12.645825 : Epoch  8, Batch     26, Loss  0.543434, Average Loss  0.536913, Time  0.461045
2021-09-07 06:51:14.530804 : Epoch  8, Batch     27, Loss  0.546484, Average Loss  0.536965, Time  0.460970
2021-09-07 06:51:16.403463 : Epoch  8, Batch     28, Loss  0.528454, Average Loss  0.536872, Time  0.461568
2021-09-07 06:51:18.271252 : Epoch  8, Batch     29, Loss  0.534832, Average Loss  0.536844, Time  0.461102
2021-09-07 06:51:20.138243 : Epoch  8, Batch     30, Loss  0.540788, Average Loss  0.536859, Time  0.461126
2021-09-07 06:51:22.041809 : Epoch  8, Batch     31, Loss  0.539833, Average Loss  0.536930, Time  0.462845
2021-09-07 06:51:23.925036 : Epoch  8, Batch     32, Loss  0.519285, Average Loss  0.536824, Time  0.461621
2021-09-07 06:51:25.812807 : Epoch  8, Batch     33, Loss  0.546701, Average Loss  0.536825, Time  0.463607
2021-09-07 06:51:27.725887 : Epoch  8, Batch     34, Loss  0.537112, Average Loss  0.536801, Time  0.462293
2021-09-07 06:51:29.597263 : Epoch  8, Batch     35, Loss  0.538286, Average Loss  0.536779, Time  0.461105
2021-09-07 06:51:31.471675 : Epoch  8, Batch     36, Loss  0.530022, Average Loss  0.536756, Time  0.462705
2021-09-07 06:51:33.354425 : Epoch  8, Batch     37, Loss  0.531287, Average Loss  0.536752, Time  0.460415
2021-09-07 06:51:35.219696 : Epoch  8, Batch     38, Loss  0.546195, Average Loss  0.536829, Time  0.461077
2021-09-07 06:51:37.087454 : Epoch  8, Batch     39, Loss  0.543954, Average Loss  0.536936, Time  0.460599
2021-09-07 06:51:38.956232 : Epoch  8, Batch     40, Loss  0.546311, Average Loss  0.537036, Time  0.461201
2021-09-07 06:51:40.816880 : Epoch  8, Batch     41, Loss  0.531151, Average Loss  0.537044, Time  0.461638
2021-09-07 06:51:42.700761 : Epoch  8, Batch     42, Loss  0.535277, Average Loss  0.537049, Time  0.461023
2021-09-07 06:51:44.578544 : Epoch  8, Batch     43, Loss  0.527911, Average Loss  0.536999, Time  0.460688
2021-09-07 06:51:46.455735 : Epoch  8, Batch     44, Loss  0.541618, Average Loss  0.537071, Time  0.460776
2021-09-07 06:51:48.328127 : Epoch  8, Batch     45, Loss  0.538420, Average Loss  0.537025, Time  0.460967
2021-09-07 06:51:50.204989 : Epoch  8, Batch     46, Loss  0.537914, Average Loss  0.537039, Time  0.461574
2021-09-07 06:51:50.402776 : Epoch  8, Batch     47, Loss  0.397488, Average Loss  0.536297, Time  0.159297
2021-09-07 06:51:52.290028 : Epoch  8, Batch     48, Loss  0.538740, Average Loss  0.536295, Time  0.460929
2021-09-07 06:51:54.154442 : Epoch  8, Batch     49, Loss  0.540011, Average Loss  0.536269, Time  0.460641
2021-09-07 06:51:56.029202 : Epoch  8, Batch     50, Loss  0.550467, Average Loss  0.536297, Time  0.461854
2021-09-07 06:51:57.895974 : Epoch  8, Batch     51, Loss  0.529392, Average Loss  0.536260, Time  0.462307
2021-09-07 06:51:59.762098 : Epoch  8, Batch     52, Loss  0.551877, Average Loss  0.536230, Time  0.462180
2021-09-07 06:52:01.631495 : Epoch  8, Batch     53, Loss  0.549840, Average Loss  0.536263, Time  0.461005
2021-09-07 06:52:03.513810 : Epoch  8, Batch     54, Loss  0.531529, Average Loss  0.536168, Time  0.462826
2021-09-07 06:52:05.382383 : Epoch  8, Batch     55, Loss  0.552223, Average Loss  0.536295, Time  0.460787
2021-09-07 06:52:07.245045 : Epoch  8, Batch     56, Loss  0.526054, Average Loss  0.536226, Time  0.462186
2021-09-07 06:52:09.110156 : Epoch  8, Batch     57, Loss  0.530194, Average Loss  0.536172, Time  0.461652
2021-09-07 06:52:10.983280 : Epoch  8, Batch     58, Loss  0.527705, Average Loss  0.536142, Time  0.460923
2021-09-07 06:52:12.846983 : Epoch  8, Batch     59, Loss  0.547642, Average Loss  0.536165, Time  0.461135
2021-09-07 06:52:14.735187 : Epoch  8, Batch     60, Loss  0.536655, Average Loss  0.536171, Time  0.462492
2021-09-07 06:52:16.623271 : Epoch  8, Batch     61, Loss  0.543721, Average Loss  0.536222, Time  0.462007
2021-09-07 06:52:18.500102 : Epoch  8, Batch     62, Loss  0.528390, Average Loss  0.536226, Time  0.461621
2021-09-07 06:52:20.383811 : Epoch  8, Batch     63, Loss  0.525629, Average Loss  0.536199, Time  0.461165
2021-09-07 06:52:22.286388 : Epoch  8, Batch     64, Loss  0.538988, Average Loss  0.536151, Time  0.461609
2021-09-07 06:52:24.150042 : Epoch  8, Batch     65, Loss  0.527051, Average Loss  0.536073, Time  0.461001
2021-09-07 06:52:26.014364 : Epoch  8, Batch     66, Loss  0.548809, Average Loss  0.536099, Time  0.461021
2021-09-07 06:52:27.878719 : Epoch  8, Batch     67, Loss  0.549362, Average Loss  0.536168, Time  0.460687
2021-09-07 06:52:29.755321 : Epoch  8, Batch     68, Loss  0.530513, Average Loss  0.536161, Time  0.461565
2021-09-07 06:52:31.639695 : Epoch  8, Batch     69, Loss  0.550622, Average Loss  0.536194, Time  0.461878
2021-09-07 06:52:33.510387 : Epoch  8, Batch     70, Loss  0.527962, Average Loss  0.536088, Time  0.462222
2021-09-07 06:52:35.373889 : Epoch  8, Batch     71, Loss  0.512149, Average Loss  0.536037, Time  0.460480
2021-09-07 06:52:37.232067 : Epoch  8, Batch     72, Loss  0.530493, Average Loss  0.535993, Time  0.461469
2021-09-07 06:52:39.112388 : Epoch  8, Batch     73, Loss  0.542388, Average Loss  0.535992, Time  0.463716
2021-09-07 06:52:40.984449 : Epoch  8, Batch     74, Loss  0.544163, Average Loss  0.536007, Time  0.461476
2021-09-07 06:52:42.870834 : Epoch  8, Batch     75, Loss  0.538385, Average Loss  0.536032, Time  0.462204
2021-09-07 06:52:44.752550 : Epoch  8, Batch     76, Loss  0.536145, Average Loss  0.535995, Time  0.461444
2021-09-07 06:52:46.630289 : Epoch  8, Batch     77, Loss  0.542993, Average Loss  0.536048, Time  0.460495
2021-09-07 06:52:48.495534 : Epoch  8, Batch     78, Loss  0.553343, Average Loss  0.536098, Time  0.460891
2021-09-07 06:52:50.353036 : Epoch  8, Batch     79, Loss  0.526095, Average Loss  0.536113, Time  0.461758
2021-09-07 06:52:52.232823 : Epoch  8, Batch     80, Loss  0.535909, Average Loss  0.536159, Time  0.461924
2021-09-07 06:52:54.115129 : Epoch  8, Batch     81, Loss  0.525771, Average Loss  0.536118, Time  0.460803
2021-09-07 06:52:55.978409 : Epoch  8, Batch     82, Loss  0.545146, Average Loss  0.536162, Time  0.461751
2021-09-07 06:52:57.851695 : Epoch  8, Batch     83, Loss  0.544054, Average Loss  0.536149, Time  0.460700
2021-09-07 06:52:59.727532 : Epoch  8, Batch     84, Loss  0.535654, Average Loss  0.536203, Time  0.462933
2021-09-07 06:53:01.623136 : Epoch  8, Batch     85, Loss  0.534090, Average Loss  0.536244, Time  0.460974
2021-09-07 06:53:03.494678 : Epoch  8, Batch     86, Loss  0.536089, Average Loss  0.536282, Time  0.461214
2021-09-07 06:53:05.382999 : Epoch  8, Batch     87, Loss  0.528764, Average Loss  0.536274, Time  0.461119
2021-09-07 06:53:07.242397 : Epoch  8, Batch     88, Loss  0.522965, Average Loss  0.536235, Time  0.460577
2021-09-07 06:53:09.109071 : Epoch  8, Batch     89, Loss  0.524307, Average Loss  0.536199, Time  0.460644
2021-09-07 06:53:10.980806 : Epoch  8, Batch     90, Loss  0.540971, Average Loss  0.536256, Time  0.461286
2021-09-07 06:53:12.854086 : Epoch  8, Batch     91, Loss  0.542368, Average Loss  0.536269, Time  0.460926
2021-09-07 06:54:16.833545 : CheckPoint: Validation Loss  0.00022911, Best Loss  0.00021621
2021-09-07 06:54:18.728987 : Epoch  8, Batch     92, Loss  0.536498, Average Loss  0.536294, Time  0.460934
2021-09-07 06:54:20.599813 : Epoch  8, Batch     93, Loss  0.512743, Average Loss  0.536250, Time  0.461655
2021-09-07 06:54:22.479245 : Epoch  8, Batch     94, Loss  0.544491, Average Loss  0.536267, Time  0.461676
2021-09-07 06:54:24.363364 : Epoch  8, Batch     95, Loss  0.534754, Average Loss  0.536245, Time  0.461150
2021-09-07 06:54:26.243731 : Epoch  8, Batch     96, Loss  0.537836, Average Loss  0.536206, Time  0.460883
2021-09-07 06:54:28.103335 : Epoch  8, Batch     97, Loss  0.531632, Average Loss  0.536217, Time  0.460350
2021-09-07 06:54:29.962340 : Epoch  8, Batch     98, Loss  0.535262, Average Loss  0.536227, Time  0.461022
2021-09-07 06:54:31.842785 : Epoch  8, Batch     99, Loss  0.539598, Average Loss  0.536146, Time  0.461654
2021-09-07 06:54:33.704253 : Epoch  8, Batch    100, Loss  0.551396, Average Loss  0.536212, Time  0.461709
2021-09-07 06:54:35.598365 : Epoch  8, Batch    101, Loss  0.533060, Average Loss  0.536161, Time  0.462021
2021-09-07 06:54:37.480951 : Epoch  8, Batch    102, Loss  0.535739, Average Loss  0.536232, Time  0.461398
2021-09-07 06:54:39.357743 : Epoch  8, Batch    103, Loss  0.538451, Average Loss  0.536245, Time  0.460584
2021-09-07 06:54:41.223484 : Epoch  8, Batch    104, Loss  0.527824, Average Loss  0.536208, Time  0.460757
2021-09-07 06:54:43.090469 : Epoch  8, Batch    105, Loss  0.515472, Average Loss  0.536051, Time  0.461215
2021-09-07 06:54:44.967693 : Epoch  8, Batch    106, Loss  0.528983, Average Loss  0.536055, Time  0.461189
2021-09-07 06:54:46.847952 : Epoch  8, Batch    107, Loss  0.526433, Average Loss  0.535994, Time  0.461808
2021-09-07 06:54:48.740214 : Epoch  8, Batch    108, Loss  0.533308, Average Loss  0.535963, Time  0.462271
2021-09-07 06:54:50.628966 : Epoch  8, Batch    109, Loss  0.535048, Average Loss  0.535932, Time  0.461803
2021-09-07 06:54:52.509147 : Epoch  8, Batch    110, Loss  0.533104, Average Loss  0.535919, Time  0.461023
2021-09-07 06:54:54.473687 : Epoch  8, Batch    111, Loss  0.541501, Average Loss  0.535919, Time  0.460929
2021-09-07 06:54:56.349306 : Epoch  8, Batch    112, Loss  0.526189, Average Loss  0.535868, Time  0.462166
2021-09-07 06:54:58.227696 : Epoch  8, Batch    113, Loss  0.537626, Average Loss  0.535852, Time  0.461190
2021-09-07 06:55:00.101672 : Epoch  8, Batch    114, Loss  0.543539, Average Loss  0.535854, Time  0.461433
2021-09-07 06:55:01.980828 : Epoch  8, Batch    115, Loss  0.519866, Average Loss  0.535800, Time  0.461741
2021-09-07 06:55:03.862547 : Epoch  8, Batch    116, Loss  0.537887, Average Loss  0.535803, Time  0.460775
2021-09-07 06:55:05.746514 : Epoch  8, Batch    117, Loss  0.538421, Average Loss  0.535775, Time  0.461275
2021-09-07 06:55:07.615915 : Epoch  8, Batch    118, Loss  0.540904, Average Loss  0.535797, Time  0.461355
2021-09-07 06:55:09.488151 : Epoch  8, Batch    119, Loss  0.537781, Average Loss  0.535806, Time  0.461686
2021-09-07 06:55:11.371969 : Epoch  8, Batch    120, Loss  0.539923, Average Loss  0.535816, Time  0.461283
2021-09-07 06:55:13.244467 : Epoch  8, Batch    121, Loss  0.543148, Average Loss  0.535797, Time  0.461661
2021-09-07 06:55:15.129794 : Epoch  8, Batch    122, Loss  0.524908, Average Loss  0.535690, Time  0.460730
2021-09-07 06:55:16.993696 : Epoch  8, Batch    123, Loss  0.531543, Average Loss  0.535676, Time  0.461559
2021-09-07 06:55:18.882527 : Epoch  8, Batch    124, Loss  0.543534, Average Loss  0.535696, Time  0.461694
2021-09-07 06:55:20.757022 : Epoch  8, Batch    125, Loss  0.534625, Average Loss  0.535767, Time  0.461669
2021-09-07 06:55:22.627730 : Epoch  8, Batch    126, Loss  0.536581, Average Loss  0.535715, Time  0.460752
2021-09-07 06:55:24.508144 : Epoch  8, Batch    127, Loss  0.538212, Average Loss  0.535772, Time  0.461157
2021-09-07 06:55:26.373277 : Epoch  8, Batch    128, Loss  0.539237, Average Loss  0.535773, Time  0.462267
2021-09-07 06:55:28.239251 : Epoch  8, Batch    129, Loss  0.529620, Average Loss  0.535723, Time  0.461176
2021-09-07 06:55:30.096755 : Epoch  8, Batch    130, Loss  0.531634, Average Loss  0.535693, Time  0.461350
2021-09-07 06:55:31.952282 : Epoch  8, Batch    131, Loss  0.534750, Average Loss  0.535731, Time  0.460280
2021-09-07 06:55:33.800239 : Epoch  8, Batch    132, Loss  0.536711, Average Loss  0.535704, Time  0.460595
2021-09-07 06:55:35.649319 : Epoch  8, Batch    133, Loss  0.536203, Average Loss  0.535685, Time  0.460571
2021-09-07 06:55:37.506217 : Epoch  8, Batch    134, Loss  0.531478, Average Loss  0.535688, Time  0.461416
2021-09-07 06:55:39.385467 : Epoch  8, Batch    135, Loss  0.541972, Average Loss  0.535721, Time  0.461120
2021-09-07 06:55:41.237486 : Epoch  8, Batch    136, Loss  0.538741, Average Loss  0.535756, Time  0.460529
2021-09-07 06:55:43.090784 : Epoch  8, Batch    137, Loss  0.541737, Average Loss  0.535796, Time  0.461206
2021-09-07 06:55:44.940831 : Epoch  8, Batch    138, Loss  0.542050, Average Loss  0.535835, Time  0.462123
2021-09-07 06:55:46.802106 : Epoch  8, Batch    139, Loss  0.528983, Average Loss  0.535810, Time  0.460820
2021-09-07 06:55:48.669002 : Epoch  8, Batch    140, Loss  0.533283, Average Loss  0.535815, Time  0.460822
2021-09-07 06:55:50.514143 : Epoch  8, Batch    141, Loss  0.531238, Average Loss  0.535745, Time  0.461047
2021-09-07 06:55:52.379358 : Epoch  8, Batch    142, Loss  0.549895, Average Loss  0.535751, Time  0.462555
2021-09-07 06:55:54.238309 : Epoch  8, Batch    143, Loss  0.535948, Average Loss  0.535759, Time  0.460887
2021-09-07 06:55:56.086311 : Epoch  8, Batch    144, Loss  0.535416, Average Loss  0.535782, Time  0.461243
2021-09-07 06:55:57.953784 : Epoch  8, Batch    145, Loss  0.530116, Average Loss  0.535790, Time  0.460946
2021-09-07 06:55:59.808151 : Epoch  8, Batch    146, Loss  0.524425, Average Loss  0.535773, Time  0.462624
2021-09-07 06:56:01.654778 : Epoch  8, Batch    147, Loss  0.530063, Average Loss  0.535715, Time  0.460998
2021-09-07 06:56:03.521190 : Epoch  8, Batch    148, Loss  0.541557, Average Loss  0.535732, Time  0.462097
2021-09-07 06:56:05.390518 : Epoch  8, Batch    149, Loss  0.530014, Average Loss  0.535675, Time  0.461491
2021-09-07 06:56:07.247539 : Epoch  8, Batch    150, Loss  0.543683, Average Loss  0.535766, Time  0.462377
2021-09-07 06:56:09.108052 : Epoch  8, Batch    151, Loss  0.534197, Average Loss  0.535754, Time  0.461400
2021-09-07 06:56:10.974714 : Epoch  8, Batch    152, Loss  0.521646, Average Loss  0.535624, Time  0.461493
2021-09-07 06:56:12.835027 : Epoch  8, Batch    153, Loss  0.536033, Average Loss  0.535638, Time  0.461781
2021-09-07 06:56:14.709528 : Epoch  8, Batch    154, Loss  0.528481, Average Loss  0.535591, Time  0.461704
2021-09-07 06:56:16.567030 : Epoch  8, Batch    155, Loss  0.525853, Average Loss  0.535551, Time  0.461854
2021-09-07 06:56:18.444549 : Epoch  8, Batch    156, Loss  0.548935, Average Loss  0.535653, Time  0.460587
2021-09-07 06:56:20.292285 : Epoch  8, Batch    157, Loss  0.528653, Average Loss  0.535638, Time  0.461029
2021-09-07 06:56:22.143016 : Epoch  8, Batch    158, Loss  0.544358, Average Loss  0.535658, Time  0.461269
2021-09-07 06:56:24.005368 : Epoch  8, Batch    159, Loss  0.538442, Average Loss  0.535627, Time  0.460939
2021-09-07 06:56:25.872082 : Epoch  8, Batch    160, Loss  0.543400, Average Loss  0.535678, Time  0.461290
2021-09-07 06:56:27.720590 : Epoch  8, Batch    161, Loss  0.537837, Average Loss  0.535653, Time  0.461455
2021-09-07 06:56:31.632731 : Epoch  8, Batch    162, Loss  0.553930, Average Loss  0.535718, Time  0.471605
2021-09-07 06:56:33.482515 : Epoch  8, Batch    163, Loss  0.533006, Average Loss  0.535717, Time  0.461685
2021-09-07 06:56:35.331699 : Epoch  8, Batch    164, Loss  0.536282, Average Loss  0.535683, Time  0.461116
2021-09-07 06:56:37.175678 : Epoch  8, Batch    165, Loss  0.546584, Average Loss  0.535708, Time  0.461495
2021-09-07 06:56:39.025059 : Epoch  8, Batch    166, Loss  0.529055, Average Loss  0.535632, Time  0.461127
2021-09-07 06:56:40.889952 : Epoch  8, Batch    167, Loss  0.533452, Average Loss  0.535585, Time  0.460865
2021-09-07 06:56:42.740634 : Epoch  8, Batch    168, Loss  0.534501, Average Loss  0.535543, Time  0.461791
2021-09-07 06:56:44.605657 : Epoch  8, Batch    169, Loss  0.540540, Average Loss  0.535634, Time  0.462251
2021-09-07 06:56:46.472662 : Epoch  8, Batch    170, Loss  0.531591, Average Loss  0.535623, Time  0.460878
2021-09-07 06:56:48.323941 : Epoch  8, Batch    171, Loss  0.529997, Average Loss  0.535615, Time  0.460343
2021-09-07 06:56:50.179693 : Epoch  8, Batch    172, Loss  0.543486, Average Loss  0.535692, Time  0.461717
2021-09-07 06:56:52.071327 : Epoch  8, Batch    173, Loss  0.527093, Average Loss  0.535631, Time  0.461679
2021-09-07 06:56:53.933787 : Epoch  8, Batch    174, Loss  0.536699, Average Loss  0.535600, Time  0.461357
2021-09-07 06:56:55.805773 : Epoch  8, Batch    175, Loss  0.531034, Average Loss  0.535554, Time  0.461378
2021-09-07 06:56:57.665359 : Epoch  8, Batch    176, Loss  0.541151, Average Loss  0.535539, Time  0.462448
2021-09-07 06:56:59.533845 : Epoch  8, Batch    177, Loss  0.533010, Average Loss  0.535571, Time  0.461210
2021-09-07 06:57:01.404215 : Epoch  8, Batch    178, Loss  0.532701, Average Loss  0.535538, Time  0.461980
2021-09-07 06:57:03.276008 : Epoch  8, Batch    179, Loss  0.548384, Average Loss  0.535643, Time  0.461834
2021-09-07 06:57:05.139181 : Epoch  8, Batch    180, Loss  0.528841, Average Loss  0.535565, Time  0.461441
2021-09-07 06:57:06.987874 : Epoch  8, Batch    181, Loss  0.531971, Average Loss  0.535581, Time  0.460779
2021-09-07 06:57:08.848071 : Epoch  8, Batch    182, Loss  0.540243, Average Loss  0.535588, Time  0.461652
2021-09-07 06:57:10.721353 : Epoch  8, Batch    183, Loss  0.536950, Average Loss  0.535517, Time  0.462007
2021-09-07 06:57:12.591762 : Epoch  8, Batch    184, Loss  0.544022, Average Loss  0.535558, Time  0.461728
2021-09-07 06:57:14.448801 : Epoch  8, Batch    185, Loss  0.541436, Average Loss  0.535598, Time  0.461740
2021-09-07 06:57:16.328710 : Epoch  8, Batch    186, Loss  0.534794, Average Loss  0.535571, Time  0.461655
2021-09-07 06:57:18.230955 : Epoch  8, Batch    187, Loss  0.527951, Average Loss  0.535515, Time  0.461115
2021-09-07 06:57:20.118240 : Epoch  8, Batch    188, Loss  0.523198, Average Loss  0.535423, Time  0.461657
2021-09-07 06:57:21.997024 : Epoch  8, Batch    189, Loss  0.545827, Average Loss  0.535410, Time  0.462016
2021-09-07 06:57:23.873841 : Epoch  8, Batch    190, Loss  0.528287, Average Loss  0.535391, Time  0.460560
2021-09-07 06:57:25.772486 : Epoch  8, Batch    191, Loss  0.534684, Average Loss  0.535444, Time  0.461471
2021-09-07 06:58:29.860840 : CheckPoint: Validation Loss  0.00022287, Best Loss  0.00021621
2021-09-07 06:58:31.745467 : Epoch  8, Batch    192, Loss  0.543997, Average Loss  0.535514, Time  0.461168
2021-09-07 06:58:33.602755 : Epoch  8, Batch    193, Loss  0.540394, Average Loss  0.535485, Time  0.460468
2021-09-07 06:58:35.461220 : Epoch  8, Batch    194, Loss  0.522899, Average Loss  0.535446, Time  0.461624
2021-09-07 06:58:37.325314 : Epoch  8, Batch    195, Loss  0.531010, Average Loss  0.535462, Time  0.460955
2021-09-07 06:58:39.191348 : Epoch  8, Batch    196, Loss  0.534518, Average Loss  0.535478, Time  0.460566
2021-09-07 06:58:41.058053 : Epoch  8, Batch    197, Loss  0.530459, Average Loss  0.535433, Time  0.461360
2021-09-07 06:58:42.929304 : Epoch  8, Batch    198, Loss  0.527092, Average Loss  0.535401, Time  0.460892
2021-09-07 06:58:44.796052 : Epoch  8, Batch    199, Loss  0.545809, Average Loss  0.535472, Time  0.461267
2021-09-07 06:58:46.673833 : Epoch  8, Batch    200, Loss  0.523040, Average Loss  0.535392, Time  0.461455
2021-09-07 06:58:48.549002 : Epoch  8, Batch    201, Loss  0.537953, Average Loss  0.535368, Time  0.460695
2021-09-07 06:58:50.404198 : Epoch  8, Batch    202, Loss  0.539629, Average Loss  0.535417, Time  0.460413
2021-09-07 06:58:52.271811 : Epoch  8, Batch    203, Loss  0.518526, Average Loss  0.535325, Time  0.461959
2021-09-07 06:58:54.153281 : Epoch  8, Batch    204, Loss  0.532650, Average Loss  0.535256, Time  0.460839
2021-09-07 06:58:56.024879 : Epoch  8, Batch    205, Loss  0.545023, Average Loss  0.535310, Time  0.461688
2021-09-07 06:58:57.890985 : Epoch  8, Batch    206, Loss  0.526435, Average Loss  0.535232, Time  0.463749
2021-09-07 06:58:59.746344 : Epoch  8, Batch    207, Loss  0.542775, Average Loss  0.535280, Time  0.461130
2021-09-07 06:59:01.604240 : Epoch  8, Batch    208, Loss  0.534720, Average Loss  0.535301, Time  0.460375
2021-09-07 06:59:03.470962 : Epoch  8, Batch    209, Loss  0.513206, Average Loss  0.535194, Time  0.461098
2021-09-07 06:59:05.331709 : Epoch  8, Batch    210, Loss  0.535583, Average Loss  0.535152, Time  0.460333
2021-09-07 06:59:07.192035 : Epoch  8, Batch    211, Loss  0.534291, Average Loss  0.535076, Time  0.461685
2021-09-07 06:59:09.066075 : Epoch  8, Batch    212, Loss  0.536135, Average Loss  0.535086, Time  0.461181
2021-09-07 06:59:10.926788 : Epoch  8, Batch    213, Loss  0.524340, Average Loss  0.535056, Time  0.460635
2021-09-07 06:59:12.783129 : Epoch  8, Batch    214, Loss  0.535669, Average Loss  0.535075, Time  0.460808
2021-09-07 06:59:14.636307 : Epoch  8, Batch    215, Loss  0.520268, Average Loss  0.534979, Time  0.461217
2021-09-07 06:59:16.497125 : Epoch  8, Batch    216, Loss  0.550952, Average Loss  0.535001, Time  0.462185
2021-09-07 06:59:18.355660 : Epoch  8, Batch    217, Loss  0.519354, Average Loss  0.534900, Time  0.461660
2021-09-07 06:59:20.211880 : Epoch  8, Batch    218, Loss  0.523467, Average Loss  0.534867, Time  0.460659
2021-09-07 06:59:22.089457 : Epoch  8, Batch    219, Loss  0.543178, Average Loss  0.534899, Time  0.462162
2021-09-07 06:59:23.976460 : Epoch  8, Batch    220, Loss  0.542419, Average Loss  0.534945, Time  0.462477
2021-09-07 06:59:25.844074 : Epoch  8, Batch    221, Loss  0.536433, Average Loss  0.534943, Time  0.463420
2021-09-07 06:59:27.726641 : Epoch  8, Batch    222, Loss  0.533558, Average Loss  0.534916, Time  0.461021
2021-09-07 06:59:29.585983 : Epoch  8, Batch    223, Loss  0.537460, Average Loss  0.534909, Time  0.461170
2021-09-07 06:59:31.453275 : Epoch  8, Batch    224, Loss  0.535834, Average Loss  0.534882, Time  0.461667
2021-09-07 06:59:33.308080 : Epoch  8, Batch    225, Loss  0.526233, Average Loss  0.534844, Time  0.460963
2021-09-07 06:59:35.168068 : Epoch  8, Batch    226, Loss  0.534532, Average Loss  0.534799, Time  0.460725
2021-09-07 06:59:37.038746 : Epoch  8, Batch    227, Loss  0.537785, Average Loss  0.534756, Time  0.461150
2021-09-07 06:59:38.906885 : Epoch  8, Batch    228, Loss  0.536739, Average Loss  0.534797, Time  0.461608
2021-09-07 06:59:40.767360 : Epoch  8, Batch    229, Loss  0.535959, Average Loss  0.534803, Time  0.460880
2021-09-07 06:59:42.626139 : Epoch  8, Batch    230, Loss  0.534614, Average Loss  0.534772, Time  0.460697
2021-09-07 06:59:44.489108 : Epoch  8, Batch    231, Loss  0.558119, Average Loss  0.534864, Time  0.461483
2021-09-07 06:59:46.367480 : Epoch  8, Batch    232, Loss  0.536578, Average Loss  0.534950, Time  0.461133
2021-09-07 06:59:48.226964 : Epoch  8, Batch    233, Loss  0.542766, Average Loss  0.534930, Time  0.461083
2021-09-07 06:59:50.107840 : Epoch  8, Batch    234, Loss  0.531607, Average Loss  0.534903, Time  0.461524
2021-09-07 06:59:51.992647 : Epoch  8, Batch    235, Loss  0.540007, Average Loss  0.534911, Time  0.461680
2021-09-07 06:59:53.865438 : Epoch  8, Batch    236, Loss  0.537802, Average Loss  0.534950, Time  0.461693
2021-09-07 06:59:55.731357 : Epoch  8, Batch    237, Loss  0.550143, Average Loss  0.535045, Time  0.461414
2021-09-07 06:59:57.610737 : Epoch  8, Batch    238, Loss  0.541719, Average Loss  0.535022, Time  0.462041
2021-09-07 06:59:59.490578 : Epoch  8, Batch    239, Loss  0.537590, Average Loss  0.534990, Time  0.461972
2021-09-07 07:00:01.360111 : Epoch  8, Batch    240, Loss  0.532238, Average Loss  0.534920, Time  0.461753
2021-09-07 07:00:03.241506 : Epoch  8, Batch    241, Loss  0.540956, Average Loss  0.534969, Time  0.462301
2021-09-07 07:00:05.111831 : Epoch  8, Batch    242, Loss  0.547514, Average Loss  0.535030, Time  0.461126
2021-09-07 07:00:06.975190 : Epoch  8, Batch    243, Loss  0.545687, Average Loss  0.535119, Time  0.460839
2021-09-07 07:00:08.842096 : Epoch  8, Batch    244, Loss  0.518772, Average Loss  0.535005, Time  0.462209
2021-09-07 07:00:10.721405 : Epoch  8, Batch    245, Loss  0.512259, Average Loss  0.534874, Time  0.460792
2021-09-07 07:00:12.573629 : Epoch  8, Batch    246, Loss  0.520148, Average Loss  0.534785, Time  0.460613
2021-09-07 07:00:14.435319 : Epoch  8, Batch    247, Loss  0.532817, Average Loss  0.535462, Time  0.462471
2021-09-07 07:00:16.291362 : Epoch  8, Batch    248, Loss  0.542492, Average Loss  0.535481, Time  0.461016
2021-09-07 07:00:18.157467 : Epoch  8, Batch    249, Loss  0.537543, Average Loss  0.535468, Time  0.462052
2021-09-07 07:00:20.034965 : Epoch  8, Batch    250, Loss  0.530882, Average Loss  0.535370, Time  0.463488
2021-09-07 07:00:21.905843 : Epoch  8, Batch    251, Loss  0.535074, Average Loss  0.535399, Time  0.461519
2021-09-07 07:00:23.771909 : Epoch  8, Batch    252, Loss  0.531589, Average Loss  0.535297, Time  0.463300
2021-09-07 07:00:25.658062 : Epoch  8, Batch    253, Loss  0.526777, Average Loss  0.535182, Time  0.463468
2021-09-07 07:00:27.563139 : Epoch  8, Batch    254, Loss  0.526872, Average Loss  0.535159, Time  0.461981
2021-09-07 07:00:29.430752 : Epoch  8, Batch    255, Loss  0.546830, Average Loss  0.535132, Time  0.462275
2021-09-07 07:00:31.294144 : Epoch  8, Batch    256, Loss  0.540297, Average Loss  0.535203, Time  0.462038
2021-09-07 07:00:33.162339 : Epoch  8, Batch    257, Loss  0.535376, Average Loss  0.535229, Time  0.460839
2021-09-07 07:00:35.027118 : Epoch  8, Batch    258, Loss  0.525641, Average Loss  0.535219, Time  0.460800
2021-09-07 07:00:36.882118 : Epoch  8, Batch    259, Loss  0.547877, Average Loss  0.535220, Time  0.460841
2021-09-07 07:00:38.748812 : Epoch  8, Batch    260, Loss  0.531366, Average Loss  0.535193, Time  0.462271
2021-09-07 07:00:40.608128 : Epoch  8, Batch    261, Loss  0.528872, Average Loss  0.535119, Time  0.460913
2021-09-07 07:00:44.571408 : Epoch  8, Batch    262, Loss  0.532870, Average Loss  0.535142, Time  0.475300
2021-09-07 07:00:46.427765 : Epoch  8, Batch    263, Loss  0.523646, Average Loss  0.535132, Time  0.461535
2021-09-07 07:00:48.307062 : Epoch  8, Batch    264, Loss  0.533347, Average Loss  0.535103, Time  0.461293
2021-09-07 07:00:50.173750 : Epoch  8, Batch    265, Loss  0.520719, Average Loss  0.535072, Time  0.461552
2021-09-07 07:00:52.038297 : Epoch  8, Batch    266, Loss  0.538993, Average Loss  0.535023, Time  0.461557
2021-09-07 07:00:53.904173 : Epoch  8, Batch    267, Loss  0.530426, Average Loss  0.534928, Time  0.461409
2021-09-07 07:00:55.761253 : Epoch  8, Batch    268, Loss  0.544379, Average Loss  0.534997, Time  0.460971
2021-09-07 07:00:57.622253 : Epoch  8, Batch    269, Loss  0.542730, Average Loss  0.534958, Time  0.461210
2021-09-07 07:00:59.474481 : Epoch  8, Batch    270, Loss  0.529936, Average Loss  0.534968, Time  0.460607
2021-09-07 07:01:01.336364 : Epoch  8, Batch    271, Loss  0.546798, Average Loss  0.535141, Time  0.464127
2021-09-07 07:01:03.211642 : Epoch  8, Batch    272, Loss  0.533270, Average Loss  0.535155, Time  0.461357
2021-09-07 07:01:05.093797 : Epoch  8, Batch    273, Loss  0.545971, Average Loss  0.535173, Time  0.461563
2021-09-07 07:01:06.952055 : Epoch  8, Batch    274, Loss  0.532593, Average Loss  0.535115, Time  0.462445
2021-09-07 07:01:08.807986 : Epoch  8, Batch    275, Loss  0.534640, Average Loss  0.535096, Time  0.460764
2021-09-07 07:01:10.665047 : Epoch  8, Batch    276, Loss  0.529914, Average Loss  0.535065, Time  0.461857
2021-09-07 07:01:12.529153 : Epoch  8, Batch    277, Loss  0.541716, Average Loss  0.535059, Time  0.461383
2021-09-07 07:01:14.393378 : Epoch  8, Batch    278, Loss  0.540098, Average Loss  0.534992, Time  0.460818
2021-09-07 07:01:16.252491 : Epoch  8, Batch    279, Loss  0.529770, Average Loss  0.535011, Time  0.461534
2021-09-07 07:01:18.111371 : Epoch  8, Batch    280, Loss  0.540622, Average Loss  0.535034, Time  0.461876
2021-09-07 07:01:19.982212 : Epoch  8, Batch    281, Loss  0.550728, Average Loss  0.535159, Time  0.460710
2021-09-07 07:01:21.839358 : Epoch  8, Batch    282, Loss  0.527124, Average Loss  0.535069, Time  0.461662
2021-09-07 07:01:23.715882 : Epoch  8, Batch    283, Loss  0.524117, Average Loss  0.534969, Time  0.462654
2021-09-07 07:01:25.584090 : Epoch  8, Batch    284, Loss  0.530489, Average Loss  0.534944, Time  0.460629
2021-09-07 07:01:27.451488 : Epoch  8, Batch    285, Loss  0.539626, Average Loss  0.534971, Time  0.461716
2021-09-07 07:01:29.330160 : Epoch  8, Batch    286, Loss  0.535531, Average Loss  0.534968, Time  0.461582
2021-09-07 07:01:31.227285 : Epoch  8, Batch    287, Loss  0.527153, Average Loss  0.534960, Time  0.461348
2021-09-07 07:01:33.109542 : Epoch  8, Batch    288, Loss  0.535826, Average Loss  0.535025, Time  0.463767
2021-09-07 07:01:34.969868 : Epoch  8, Batch    289, Loss  0.529954, Average Loss  0.535053, Time  0.460918
2021-09-07 07:01:36.831338 : Epoch  8, Batch    290, Loss  0.534457, Average Loss  0.535020, Time  0.461594
2021-09-07 07:01:38.688048 : Epoch  8, Batch    291, Loss  0.538384, Average Loss  0.535000, Time  0.460410
2021-09-07 07:02:42.450491 : CheckPoint: Validation Loss  0.00021826, Best Loss  0.00021621
2021-09-07 07:02:44.349724 : Epoch  8, Batch    292, Loss  0.529571, Average Loss  0.534966, Time  0.461156
2021-09-07 07:02:46.220477 : Epoch  8, Batch    293, Loss  0.533550, Average Loss  0.535070, Time  0.461866
2021-09-07 07:02:48.108123 : Epoch  8, Batch    294, Loss  0.546739, Average Loss  0.535081, Time  0.461441
2021-09-07 07:02:49.988882 : Epoch  8, Batch    295, Loss  0.530192, Average Loss  0.535058, Time  0.461456
2021-09-07 07:02:51.862146 : Epoch  8, Batch    296, Loss  0.518651, Average Loss  0.534962, Time  0.460446
2021-09-07 07:02:53.740513 : Epoch  8, Batch    297, Loss  0.537659, Average Loss  0.534992, Time  0.462032
2021-09-07 07:02:55.623026 : Epoch  8, Batch    298, Loss  0.534871, Average Loss  0.534990, Time  0.461443
2021-09-07 07:02:57.492030 : Epoch  8, Batch    299, Loss  0.538862, Average Loss  0.534987, Time  0.462194
2021-09-07 07:02:59.363350 : Epoch  8, Batch    300, Loss  0.541104, Average Loss  0.534935, Time  0.460338
2021-09-07 07:03:01.224818 : Epoch  8, Batch    301, Loss  0.532514, Average Loss  0.534933, Time  0.460937
2021-09-07 07:03:03.092023 : Epoch  8, Batch    302, Loss  0.518542, Average Loss  0.534847, Time  0.461143
2021-09-07 07:03:04.978387 : Epoch  8, Batch    303, Loss  0.542547, Average Loss  0.534867, Time  0.461708
2021-09-07 07:03:06.844193 : Epoch  8, Batch    304, Loss  0.530077, Average Loss  0.534878, Time  0.460929
2021-09-07 07:03:08.718710 : Epoch  8, Batch    305, Loss  0.530959, Average Loss  0.534956, Time  0.463388
2021-09-07 07:03:10.589246 : Epoch  8, Batch    306, Loss  0.543449, Average Loss  0.535028, Time  0.460659
2021-09-07 07:03:12.457379 : Epoch  8, Batch    307, Loss  0.540695, Average Loss  0.535099, Time  0.461803
2021-09-07 07:03:14.329657 : Epoch  8, Batch    308, Loss  0.524459, Average Loss  0.535055, Time  0.461687
2021-09-07 07:03:16.198759 : Epoch  8, Batch    309, Loss  0.507412, Average Loss  0.534917, Time  0.461121
2021-09-07 07:03:18.073869 : Epoch  8, Batch    310, Loss  0.533889, Average Loss  0.534921, Time  0.462565
2021-09-07 07:03:19.963243 : Epoch  8, Batch    311, Loss  0.522034, Average Loss  0.534824, Time  0.462008
2021-09-07 07:03:21.847422 : Epoch  8, Batch    312, Loss  0.535527, Average Loss  0.534870, Time  0.461388
2021-09-07 07:03:23.715774 : Epoch  8, Batch    313, Loss  0.535398, Average Loss  0.534859, Time  0.460309
2021-09-07 07:03:25.585700 : Epoch  8, Batch    314, Loss  0.538605, Average Loss  0.534834, Time  0.460537
2021-09-07 07:03:27.456765 : Epoch  8, Batch    315, Loss  0.543466, Average Loss  0.534952, Time  0.460710
2021-09-07 07:03:29.365785 : Epoch  8, Batch    316, Loss  0.535793, Average Loss  0.534942, Time  0.461013
2021-09-07 07:03:31.237497 : Epoch  8, Batch    317, Loss  0.528143, Average Loss  0.534891, Time  0.461601
2021-09-07 07:03:33.127234 : Epoch  8, Batch    318, Loss  0.539227, Average Loss  0.534882, Time  0.461058
2021-09-07 07:03:34.993960 : Epoch  8, Batch    319, Loss  0.533093, Average Loss  0.534859, Time  0.460165
2021-09-07 07:03:36.872563 : Epoch  8, Batch    320, Loss  0.539613, Average Loss  0.534857, Time  0.461466
2021-09-07 07:03:38.754838 : Epoch  8, Batch    321, Loss  0.545369, Average Loss  0.534868, Time  0.460706
2021-09-07 07:03:40.625843 : Epoch  8, Batch    322, Loss  0.531953, Average Loss  0.534904, Time  0.462449
2021-09-07 07:03:42.515958 : Epoch  8, Batch    323, Loss  0.522870, Average Loss  0.534860, Time  0.461188
2021-09-07 07:03:44.383004 : Epoch  8, Batch    324, Loss  0.543216, Average Loss  0.534859, Time  0.460748
2021-09-07 07:03:46.249166 : Epoch  8, Batch    325, Loss  0.529622, Average Loss  0.534834, Time  0.461383
2021-09-07 07:03:48.131318 : Epoch  8, Batch    326, Loss  0.530218, Average Loss  0.534802, Time  0.460355
2021-09-07 07:03:50.015734 : Epoch  8, Batch    327, Loss  0.519067, Average Loss  0.534706, Time  0.461461
2021-09-07 07:03:51.905578 : Epoch  8, Batch    328, Loss  0.537478, Average Loss  0.534697, Time  0.461946
2021-09-07 07:03:53.793459 : Epoch  8, Batch    329, Loss  0.537732, Average Loss  0.534738, Time  0.461480
2021-09-07 07:03:55.681194 : Epoch  8, Batch    330, Loss  0.542225, Average Loss  0.534791, Time  0.461076
2021-09-07 07:03:57.563800 : Epoch  8, Batch    331, Loss  0.543006, Average Loss  0.534832, Time  0.462906
2021-09-07 07:03:59.445858 : Epoch  8, Batch    332, Loss  0.544003, Average Loss  0.534869, Time  0.460985
2021-09-07 07:04:01.312912 : Epoch  8, Batch    333, Loss  0.527451, Average Loss  0.534825, Time  0.460590
2021-09-07 07:04:03.171141 : Epoch  8, Batch    334, Loss  0.527440, Average Loss  0.534805, Time  0.461278
2021-09-07 07:04:05.058052 : Epoch  8, Batch    335, Loss  0.547605, Average Loss  0.534833, Time  0.460967
2021-09-07 07:04:06.923748 : Epoch  8, Batch    336, Loss  0.539634, Average Loss  0.534837, Time  0.460731
2021-09-07 07:04:08.790067 : Epoch  8, Batch    337, Loss  0.538703, Average Loss  0.534822, Time  0.463145
2021-09-07 07:04:10.662395 : Epoch  8, Batch    338, Loss  0.530069, Average Loss  0.534762, Time  0.460870
2021-09-07 07:04:12.525574 : Epoch  8, Batch    339, Loss  0.534067, Average Loss  0.534788, Time  0.460623
2021-09-07 07:04:14.398085 : Epoch  8, Batch    340, Loss  0.542229, Average Loss  0.534832, Time  0.461869
2021-09-07 07:04:16.280942 : Epoch  8, Batch    341, Loss  0.532041, Average Loss  0.534836, Time  0.461567
2021-09-07 07:04:18.159846 : Epoch  8, Batch    342, Loss  0.548106, Average Loss  0.534827, Time  0.460943
2021-09-07 07:04:20.026970 : Epoch  8, Batch    343, Loss  0.548977, Average Loss  0.534893, Time  0.460923
2021-09-07 07:04:21.890213 : Epoch  8, Batch    344, Loss  0.531215, Average Loss  0.534872, Time  0.461127
2021-09-07 07:04:23.775128 : Epoch  8, Batch    345, Loss  0.526931, Average Loss  0.534856, Time  0.461573
2021-09-07 07:04:25.645866 : Epoch  8, Batch    346, Loss  0.546073, Average Loss  0.534964, Time  0.460704
2021-09-07 07:04:27.517486 : Epoch  8, Batch    347, Loss  0.531244, Average Loss  0.534970, Time  0.461728
2021-09-07 07:04:29.385451 : Epoch  8, Batch    348, Loss  0.542678, Average Loss  0.534975, Time  0.462634
2021-09-07 07:04:31.280062 : Epoch  8, Batch    349, Loss  0.524194, Average Loss  0.534946, Time  0.460829
2021-09-07 07:04:33.146086 : Epoch  8, Batch    350, Loss  0.526498, Average Loss  0.534860, Time  0.460783
2021-09-07 07:04:35.022277 : Epoch  8, Batch    351, Loss  0.548712, Average Loss  0.534933, Time  0.461584
2021-09-07 07:04:36.902851 : Epoch  8, Batch    352, Loss  0.551269, Average Loss  0.535081, Time  0.461856
2021-09-07 07:04:38.784571 : Epoch  8, Batch    353, Loss  0.537071, Average Loss  0.535086, Time  0.462483
2021-09-07 07:04:40.667232 : Epoch  8, Batch    354, Loss  0.525311, Average Loss  0.535070, Time  0.460958
2021-09-07 07:04:42.540069 : Epoch  8, Batch    355, Loss  0.535955, Average Loss  0.535121, Time  0.461122
2021-09-07 07:04:44.403932 : Epoch  8, Batch    356, Loss  0.538179, Average Loss  0.535067, Time  0.461016
2021-09-07 07:04:46.269358 : Epoch  8, Batch    357, Loss  0.531950, Average Loss  0.535084, Time  0.460671
2021-09-07 07:04:48.146936 : Epoch  8, Batch    358, Loss  0.552174, Average Loss  0.535123, Time  0.461120
2021-09-07 07:04:50.036821 : Epoch  8, Batch    359, Loss  0.535921, Average Loss  0.535110, Time  0.461029
2021-09-07 07:04:51.900841 : Epoch  8, Batch    360, Loss  0.519911, Average Loss  0.534993, Time  0.460656
2021-09-07 07:04:53.764071 : Epoch  8, Batch    361, Loss  0.531107, Average Loss  0.534959, Time  0.461132
2021-09-07 07:04:57.688640 : Epoch  8, Batch    362, Loss  0.529456, Average Loss  0.534837, Time  0.469264
2021-09-07 07:04:59.557386 : Epoch  8, Batch    363, Loss  0.544434, Average Loss  0.534894, Time  0.462394
2021-09-07 07:05:01.448502 : Epoch  8, Batch    364, Loss  0.546756, Average Loss  0.534946, Time  0.466836
2021-09-07 07:05:03.306358 : Epoch  8, Batch    365, Loss  0.530168, Average Loss  0.534864, Time  0.461075
2021-09-07 07:05:05.172395 : Epoch  8, Batch    366, Loss  0.531769, Average Loss  0.534878, Time  0.461691
2021-09-07 07:05:07.029109 : Epoch  8, Batch    367, Loss  0.527721, Average Loss  0.534849, Time  0.462263
2021-09-07 07:05:08.884122 : Epoch  8, Batch    368, Loss  0.521379, Average Loss  0.534783, Time  0.461101
2021-09-07 07:05:10.739340 : Epoch  8, Batch    369, Loss  0.514384, Average Loss  0.534653, Time  0.460854
2021-09-07 07:05:12.595264 : Epoch  8, Batch    370, Loss  0.531186, Average Loss  0.534650, Time  0.460575
2021-09-07 07:05:14.453246 : Epoch  8, Batch    371, Loss  0.534686, Average Loss  0.534674, Time  0.462260
2021-09-07 07:05:16.312955 : Epoch  8, Batch    372, Loss  0.527806, Average Loss  0.534596, Time  0.461904
2021-09-07 07:05:18.169203 : Epoch  8, Batch    373, Loss  0.542038, Average Loss  0.534670, Time  0.460983
2021-09-07 07:05:20.032157 : Epoch  8, Batch    374, Loss  0.545035, Average Loss  0.534712, Time  0.461644
2021-09-07 07:05:21.918495 : Epoch  8, Batch    375, Loss  0.525281, Average Loss  0.534683, Time  0.463137
2021-09-07 07:05:23.781661 : Epoch  8, Batch    376, Loss  0.532353, Average Loss  0.534639, Time  0.462615
2021-09-07 07:05:25.650091 : Epoch  8, Batch    377, Loss  0.552938, Average Loss  0.534739, Time  0.461179
2021-09-07 07:05:27.503209 : Epoch  8, Batch    378, Loss  0.534021, Average Loss  0.534745, Time  0.460816
2021-09-07 07:05:29.365706 : Epoch  8, Batch    379, Loss  0.536687, Average Loss  0.534687, Time  0.462038
2021-09-07 07:05:31.248710 : Epoch  8, Batch    380, Loss  0.527460, Average Loss  0.534680, Time  0.461945
2021-09-07 07:05:33.127234 : Epoch  8, Batch    381, Loss  0.540157, Average Loss  0.534721, Time  0.460907
2021-09-07 07:05:34.985646 : Epoch  8, Batch    382, Loss  0.516019, Average Loss  0.534600, Time  0.461151
2021-09-07 07:05:36.836753 : Epoch  8, Batch    383, Loss  0.536356, Average Loss  0.534597, Time  0.460865
2021-09-07 07:05:38.701718 : Epoch  8, Batch    384, Loss  0.565224, Average Loss  0.534703, Time  0.461771
2021-09-07 07:05:40.564984 : Epoch  8, Batch    385, Loss  0.538157, Average Loss  0.534686, Time  0.462044
2021-09-07 07:05:42.443551 : Epoch  8, Batch    386, Loss  0.537630, Average Loss  0.534701, Time  0.461775
2021-09-07 07:05:44.320507 : Epoch  8, Batch    387, Loss  0.536920, Average Loss  0.534746, Time  0.461544
2021-09-07 07:05:46.194744 : Epoch  8, Batch    388, Loss  0.527209, Average Loss  0.534766, Time  0.460612
2021-09-07 07:05:48.069837 : Epoch  8, Batch    389, Loss  0.550695, Average Loss  0.534790, Time  0.460889
2021-09-07 07:05:49.938183 : Epoch  8, Batch    390, Loss  0.531664, Average Loss  0.534807, Time  0.461364
2021-09-07 07:05:51.793171 : Epoch  8, Batch    391, Loss  0.533426, Average Loss  0.534800, Time  0.462393
2021-09-07 07:06:55.745961 : CheckPoint: Validation Loss  0.00021928, Best Loss  0.00021621
2021-09-07 07:06:57.616367 : Epoch  8, Batch    392, Loss  0.520379, Average Loss  0.534682, Time  0.461218
2021-09-07 07:06:59.469875 : Epoch  8, Batch    393, Loss  0.529889, Average Loss  0.534630, Time  0.461295
2021-09-07 07:07:01.354975 : Epoch  8, Batch    394, Loss  0.521416, Average Loss  0.534622, Time  0.460909
2021-09-07 07:07:03.204984 : Epoch  8, Batch    395, Loss  0.536518, Average Loss  0.534650, Time  0.461705
2021-09-07 07:07:05.077326 : Epoch  8, Batch    396, Loss  0.534141, Average Loss  0.534648, Time  0.460546
2021-09-07 07:07:06.957663 : Epoch  8, Batch    397, Loss  0.531870, Average Loss  0.534655, Time  0.460793
2021-09-07 07:07:08.807580 : Epoch  8, Batch    398, Loss  0.530636, Average Loss  0.534673, Time  0.460984
2021-09-07 07:07:10.669547 : Epoch  8, Batch    399, Loss  0.530319, Average Loss  0.534595, Time  0.462385
2021-09-07 07:07:12.542360 : Epoch  8, Batch    400, Loss  0.529078, Average Loss  0.534626, Time  0.461347
2021-09-07 07:07:14.411697 : Epoch  8, Batch    401, Loss  0.543670, Average Loss  0.534654, Time  0.462478
2021-09-07 07:07:16.273207 : Epoch  8, Batch    402, Loss  0.537654, Average Loss  0.534644, Time  0.461257
2021-09-07 07:07:18.128973 : Epoch  8, Batch    403, Loss  0.543567, Average Loss  0.534770, Time  0.462019
2021-09-07 07:07:20.008255 : Epoch  8, Batch    404, Loss  0.532652, Average Loss  0.534770, Time  0.461738
2021-09-07 07:07:21.890013 : Epoch  8, Batch    405, Loss  0.530792, Average Loss  0.534698, Time  0.460913
2021-09-07 07:07:23.776306 : Epoch  8, Batch    406, Loss  0.534327, Average Loss  0.534738, Time  0.461349
2021-09-07 07:07:25.646722 : Epoch  8, Batch    407, Loss  0.539301, Average Loss  0.534721, Time  0.461360
2021-09-07 07:07:27.510377 : Epoch  8, Batch    408, Loss  0.521818, Average Loss  0.534656, Time  0.460564
2021-09-07 07:07:29.379555 : Epoch  8, Batch    409, Loss  0.534540, Average Loss  0.534763, Time  0.462064
2021-09-07 07:07:31.251028 : Epoch  8, Batch    410, Loss  0.547232, Average Loss  0.534821, Time  0.460995
2021-09-07 07:07:33.119328 : Epoch  8, Batch    411, Loss  0.536828, Average Loss  0.534834, Time  0.461105
2021-09-07 07:07:34.987517 : Epoch  8, Batch    412, Loss  0.518105, Average Loss  0.534743, Time  0.460423
2021-09-07 07:07:36.869767 : Epoch  8, Batch    413, Loss  0.530261, Average Loss  0.534773, Time  0.461658
2021-09-07 07:07:38.751849 : Epoch  8, Batch    414, Loss  0.546019, Average Loss  0.534825, Time  0.460948
2021-09-07 07:07:40.611935 : Epoch  8, Batch    415, Loss  0.551955, Average Loss  0.534983, Time  0.462189
2021-09-07 07:07:42.478840 : Epoch  8, Batch    416, Loss  0.535325, Average Loss  0.534905, Time  0.460905
2021-09-07 07:07:44.362289 : Epoch  8, Batch    417, Loss  0.531202, Average Loss  0.534964, Time  0.465757
2021-09-07 07:07:46.229417 : Epoch  8, Batch    418, Loss  0.544868, Average Loss  0.535071, Time  0.460948
2021-09-07 07:07:48.098443 : Epoch  8, Batch    419, Loss  0.542635, Average Loss  0.535069, Time  0.461323
2021-09-07 07:07:49.961502 : Epoch  8, Batch    420, Loss  0.511226, Average Loss  0.534913, Time  0.462457
2021-09-07 07:07:51.879867 : Epoch  8, Batch    421, Loss  0.534954, Average Loss  0.534905, Time  0.462078
2021-09-07 07:07:53.766068 : Epoch  8, Batch    422, Loss  0.535605, Average Loss  0.534916, Time  0.461170
2021-09-07 07:07:55.627653 : Epoch  8, Batch    423, Loss  0.547717, Average Loss  0.534967, Time  0.461026
2021-09-07 07:07:57.494974 : Epoch  8, Batch    424, Loss  0.519533, Average Loss  0.534885, Time  0.462168
2021-09-07 07:07:59.372511 : Epoch  8, Batch    425, Loss  0.538272, Average Loss  0.534946, Time  0.461341
2021-09-07 07:08:01.261924 : Epoch  8, Batch    426, Loss  0.526335, Average Loss  0.534905, Time  0.462051
2021-09-07 07:08:03.144389 : Epoch  8, Batch    427, Loss  0.528877, Average Loss  0.534860, Time  0.460727
2021-09-07 07:08:05.020181 : Epoch  8, Batch    428, Loss  0.533982, Average Loss  0.534846, Time  0.461931
2021-09-07 07:08:06.904187 : Epoch  8, Batch    429, Loss  0.526104, Average Loss  0.534797, Time  0.462196
2021-09-07 07:08:08.769056 : Epoch  8, Batch    430, Loss  0.541206, Average Loss  0.534830, Time  0.462488
2021-09-07 07:08:10.651673 : Epoch  8, Batch    431, Loss  0.523878, Average Loss  0.534659, Time  0.462175
2021-09-07 07:08:12.532840 : Epoch  8, Batch    432, Loss  0.551855, Average Loss  0.534735, Time  0.461771
2021-09-07 07:08:14.410195 : Epoch  8, Batch    433, Loss  0.537785, Average Loss  0.534710, Time  0.461035
2021-09-07 07:08:16.293888 : Epoch  8, Batch    434, Loss  0.547303, Average Loss  0.534789, Time  0.461895
2021-09-07 07:08:18.180822 : Epoch  8, Batch    435, Loss  0.533368, Average Loss  0.534755, Time  0.461786
2021-09-07 07:08:20.067137 : Epoch  8, Batch    436, Loss  0.551827, Average Loss  0.534826, Time  0.462124
2021-09-07 07:08:21.952670 : Epoch  8, Batch    437, Loss  0.522386, Average Loss  0.534687, Time  0.461497
2021-09-07 07:08:23.861069 : Epoch  8, Batch    438, Loss  0.533559, Average Loss  0.534646, Time  0.462171
2021-09-07 07:08:25.725354 : Epoch  8, Batch    439, Loss  0.530169, Average Loss  0.534609, Time  0.461133
2021-09-07 07:08:27.623764 : Epoch  8, Batch    440, Loss  0.534450, Average Loss  0.534620, Time  0.462218
2021-09-07 07:08:29.521414 : Epoch  8, Batch    441, Loss  0.535056, Average Loss  0.534590, Time  0.463244
2021-09-07 07:08:31.412563 : Epoch  8, Batch    442, Loss  0.539205, Average Loss  0.534549, Time  0.463176
2021-09-07 07:08:33.295153 : Epoch  8, Batch    443, Loss  0.529870, Average Loss  0.534470, Time  0.461647
2021-09-07 07:08:35.173430 : Epoch  8, Batch    444, Loss  0.522880, Average Loss  0.534490, Time  0.461414
2021-09-07 07:08:37.049955 : Epoch  8, Batch    445, Loss  0.536645, Average Loss  0.534612, Time  0.460852
2021-09-07 07:08:38.934674 : Epoch  8, Batch    446, Loss  0.537619, Average Loss  0.534700, Time  0.461628
2021-09-07 07:08:40.806494 : Epoch  8, Batch    447, Loss  0.545923, Average Loss  0.534765, Time  0.461978
2021-09-07 07:08:42.712747 : Epoch  8, Batch    448, Loss  0.530936, Average Loss  0.534707, Time  0.461704
2021-09-07 07:08:44.598171 : Epoch  8, Batch    449, Loss  0.547945, Average Loss  0.534759, Time  0.462824
2021-09-07 07:08:46.477272 : Epoch  8, Batch    450, Loss  0.535598, Average Loss  0.534783, Time  0.461034
2021-09-07 07:08:48.350903 : Epoch  8, Batch    451, Loss  0.552401, Average Loss  0.534870, Time  0.461284
2021-09-07 07:08:50.218212 : Epoch  8, Batch    452, Loss  0.549953, Average Loss  0.534961, Time  0.461748
2021-09-07 07:08:52.084088 : Epoch  8, Batch    453, Loss  0.548823, Average Loss  0.535072, Time  0.461477
2021-09-07 07:08:53.960746 : Epoch  8, Batch    454, Loss  0.537415, Average Loss  0.535124, Time  0.460891
2021-09-07 07:08:55.830190 : Epoch  8, Batch    455, Loss  0.552298, Average Loss  0.535152, Time  0.461519
2021-09-07 07:08:57.704291 : Epoch  8, Batch    456, Loss  0.538176, Average Loss  0.535141, Time  0.461088
2021-09-07 07:08:59.578027 : Epoch  8, Batch    457, Loss  0.542073, Average Loss  0.535175, Time  0.461340
2021-09-07 07:09:01.438510 : Epoch  8, Batch    458, Loss  0.533776, Average Loss  0.535215, Time  0.461077
2021-09-07 07:09:03.309767 : Epoch  8, Batch    459, Loss  0.521303, Average Loss  0.535082, Time  0.461466
2021-09-07 07:09:05.175096 : Epoch  8, Batch    460, Loss  0.528185, Average Loss  0.535066, Time  0.460445
2021-09-07 07:09:07.055322 : Epoch  8, Batch    461, Loss  0.542710, Average Loss  0.535136, Time  0.462327
2021-09-07 07:09:11.063024 : Epoch  8, Batch    462, Loss  0.531429, Average Loss  0.535128, Time  0.469814
2021-09-07 07:09:12.946217 : Epoch  8, Batch    463, Loss  0.532706, Average Loss  0.535174, Time  0.461188
2021-09-07 07:09:14.805502 : Epoch  8, Batch    464, Loss  0.543080, Average Loss  0.535222, Time  0.461351
2021-09-07 07:09:16.671121 : Epoch  8, Batch    465, Loss  0.540794, Average Loss  0.535323, Time  0.461871
2021-09-07 07:09:18.550937 : Epoch  8, Batch    466, Loss  0.553174, Average Loss  0.535394, Time  0.461504
2021-09-07 07:09:20.427198 : Epoch  8, Batch    467, Loss  0.527027, Average Loss  0.535377, Time  0.461694
2021-09-07 07:09:22.308492 : Epoch  8, Batch    468, Loss  0.538559, Average Loss  0.535348, Time  0.462308
2021-09-07 07:09:24.195549 : Epoch  8, Batch    469, Loss  0.532637, Average Loss  0.535297, Time  0.460858
2021-09-07 07:09:26.066482 : Epoch  8, Batch    470, Loss  0.526071, Average Loss  0.535278, Time  0.462391
2021-09-07 07:09:27.951697 : Epoch  8, Batch    471, Loss  0.529545, Average Loss  0.535192, Time  0.461906
2021-09-07 07:09:29.822557 : Epoch  8, Batch    472, Loss  0.538909, Average Loss  0.535220, Time  0.462528
2021-09-07 07:09:31.684039 : Epoch  8, Batch    473, Loss  0.539282, Average Loss  0.535186, Time  0.461981
2021-09-07 07:09:33.562569 : Epoch  8, Batch    474, Loss  0.538844, Average Loss  0.535218, Time  0.461761
2021-09-07 07:09:35.453555 : Epoch  8, Batch    475, Loss  0.536497, Average Loss  0.535227, Time  0.462503
2021-09-07 07:09:37.333057 : Epoch  8, Batch    476, Loss  0.541575, Average Loss  0.535285, Time  0.461468
2021-09-07 07:09:39.215458 : Epoch  8, Batch    477, Loss  0.531866, Average Loss  0.535236, Time  0.461897
2021-09-07 07:09:41.096139 : Epoch  8, Batch    478, Loss  0.526378, Average Loss  0.535167, Time  0.462239
2021-09-07 07:09:42.983425 : Epoch  8, Batch    479, Loss  0.522925, Average Loss  0.535133, Time  0.461289
2021-09-07 07:09:44.838303 : Epoch  8, Batch    480, Loss  0.537627, Average Loss  0.535118, Time  0.461376
2021-09-07 07:09:46.731621 : Epoch  8, Batch    481, Loss  0.538515, Average Loss  0.535057, Time  0.462075
2021-09-07 07:09:48.605445 : Epoch  8, Batch    482, Loss  0.529860, Average Loss  0.535071, Time  0.461494
2021-09-07 07:09:50.457211 : Epoch  8, Batch    483, Loss  0.539680, Average Loss  0.535149, Time  0.461123
2021-09-07 07:09:52.306124 : Epoch  8, Batch    484, Loss  0.536092, Average Loss  0.535177, Time  0.462021
2021-09-07 07:09:54.183106 : Epoch  8, Batch    485, Loss  0.535022, Average Loss  0.535154, Time  0.462186
2021-09-07 07:09:56.060921 : Epoch  8, Batch    486, Loss  0.537402, Average Loss  0.535163, Time  0.461924
2021-09-07 07:09:57.941313 : Epoch  8, Batch    487, Loss  0.528784, Average Loss  0.535171, Time  0.462697
2021-09-07 07:09:59.807462 : Epoch  8, Batch    488, Loss  0.532105, Average Loss  0.535152, Time  0.461337
2021-09-07 07:10:01.670309 : Epoch  8, Batch    489, Loss  0.523968, Average Loss  0.535122, Time  0.462311
2021-09-07 07:10:03.536618 : Epoch  8, Batch    490, Loss  0.537336, Average Loss  0.535137, Time  0.461552
2021-09-07 07:10:07.444919 : Epoch  8, Batch    491, Loss  0.533304, Average Loss  0.535111, Time  0.475669
2021-09-07 07:11:11.292089 : CheckPoint: Validation Loss  0.00021135, Best Loss  0.00021135
2021-09-07 07:11:11.323794 : Best Model Updated
2021-09-07 07:11:16.616752 : Epoch  8, Batch    492, Loss  0.534911, Average Loss  0.535138, Time  0.476066
2021-09-07 07:11:18.487670 : Epoch  8, Batch    493, Loss  0.529618, Average Loss  0.535119, Time  0.460933
2021-09-07 07:11:20.341094 : Epoch  8, Batch    494, Loss  0.531087, Average Loss  0.535040, Time  0.460876
2021-09-07 07:11:22.189080 : Epoch  8, Batch    495, Loss  0.524863, Average Loss  0.535014, Time  0.460780
2021-09-07 07:11:24.065463 : Epoch  8, Batch    496, Loss  0.539569, Average Loss  0.535118, Time  0.462495
2021-09-07 07:11:25.935368 : Epoch  8, Batch    497, Loss  0.539653, Average Loss  0.535128, Time  0.460995
2021-09-07 07:11:27.783739 : Epoch  8, Batch    498, Loss  0.545296, Average Loss  0.535180, Time  0.461243
2021-09-07 07:11:29.638326 : Epoch  8, Batch    499, Loss  0.526892, Average Loss  0.535120, Time  0.460969
2021-09-07 07:11:31.506357 : Epoch  8, Batch    500, Loss  0.526860, Average Loss  0.535049, Time  0.461789
2021-09-07 07:11:33.360003 : Epoch  8, Batch    501, Loss  0.530097, Average Loss  0.535037, Time  0.460645
2021-09-07 07:11:35.223021 : Epoch  8, Batch    502, Loss  0.534367, Average Loss  0.535116, Time  0.461499
2021-09-07 07:11:37.080151 : Epoch  8, Batch    503, Loss  0.532050, Average Loss  0.535064, Time  0.460933
2021-09-07 07:11:38.933864 : Epoch  8, Batch    504, Loss  0.539800, Average Loss  0.535112, Time  0.460810
2021-09-07 07:11:40.782184 : Epoch  8, Batch    505, Loss  0.545403, Average Loss  0.535185, Time  0.464095
2021-09-07 07:11:42.648727 : Epoch  8, Batch    506, Loss  0.534536, Average Loss  0.535140, Time  0.461450
2021-09-07 07:11:44.508198 : Epoch  8, Batch    507, Loss  0.521603, Average Loss  0.535045, Time  0.460389
2021-09-07 07:11:46.361838 : Epoch  8, Batch    508, Loss  0.537150, Average Loss  0.535108, Time  0.461912
2021-09-07 07:11:48.235814 : Epoch  8, Batch    509, Loss  0.539205, Average Loss  0.535267, Time  0.464039
2021-09-07 07:11:50.124505 : Epoch  8, Batch    510, Loss  0.532881, Average Loss  0.535262, Time  0.462579
2021-09-07 07:11:52.002293 : Epoch  8, Batch    511, Loss  0.529714, Average Loss  0.535300, Time  0.461560
2021-09-07 07:11:53.887811 : Epoch  8, Batch    512, Loss  0.521281, Average Loss  0.535229, Time  0.461565
2021-09-07 07:11:55.773737 : Epoch  8, Batch    513, Loss  0.545303, Average Loss  0.535279, Time  0.461928
2021-09-07 07:11:57.658595 : Epoch  8, Batch    514, Loss  0.529740, Average Loss  0.535234, Time  0.461921
2021-09-07 07:11:59.530922 : Epoch  8, Batch    515, Loss  0.532800, Average Loss  0.535181, Time  0.461253
2021-09-07 07:12:01.395397 : Epoch  8, Batch    516, Loss  0.526428, Average Loss  0.535134, Time  0.461214
2021-09-07 07:12:03.282859 : Epoch  8, Batch    517, Loss  0.533517, Average Loss  0.535161, Time  0.462237
2021-09-07 07:12:05.154811 : Epoch  8, Batch    518, Loss  0.535681, Average Loss  0.535143, Time  0.461469
2021-09-07 07:12:07.025836 : Epoch  8, Batch    519, Loss  0.537327, Average Loss  0.535165, Time  0.460867
2021-09-07 07:12:08.891528 : Epoch  8, Batch    520, Loss  0.528457, Average Loss  0.535109, Time  0.461394
2021-09-07 07:12:10.757480 : Epoch  8, Batch    521, Loss  0.540614, Average Loss  0.535085, Time  0.461942
2021-09-07 07:12:12.624035 : Epoch  8, Batch    522, Loss  0.540473, Average Loss  0.535128, Time  0.462056
2021-09-07 07:12:14.487999 : Epoch  8, Batch    523, Loss  0.546919, Average Loss  0.535248, Time  0.461116
2021-09-07 07:12:16.353053 : Epoch  8, Batch    524, Loss  0.524706, Average Loss  0.535155, Time  0.461096
2021-09-07 07:12:18.234290 : Epoch  8, Batch    525, Loss  0.545908, Average Loss  0.535237, Time  0.462022
2021-09-07 07:12:20.122315 : Epoch  8, Batch    526, Loss  0.534063, Average Loss  0.535256, Time  0.462182
2021-09-07 07:12:21.996792 : Epoch  8, Batch    527, Loss  0.523499, Average Loss  0.535278, Time  0.461213
2021-09-07 07:12:23.864379 : Epoch  8, Batch    528, Loss  0.537132, Average Loss  0.535276, Time  0.460997
2021-09-07 07:12:25.738381 : Epoch  8, Batch    529, Loss  0.528016, Average Loss  0.535228, Time  0.460809
2021-09-07 07:12:27.612710 : Epoch  8, Batch    530, Loss  0.525738, Average Loss  0.535145, Time  0.461486
2021-09-07 07:12:29.486231 : Epoch  8, Batch    531, Loss  0.518450, Average Loss  0.535023, Time  0.462901
2021-09-07 07:12:31.347138 : Epoch  8, Batch    532, Loss  0.542341, Average Loss  0.535014, Time  0.461262
2021-09-07 07:12:33.202759 : Epoch  8, Batch    533, Loss  0.544582, Average Loss  0.535100, Time  0.460806
2021-09-07 07:12:35.067114 : Epoch  8, Batch    534, Loss  0.541248, Average Loss  0.535169, Time  0.462093
2021-09-07 07:12:36.946926 : Epoch  8, Batch    535, Loss  0.532286, Average Loss  0.535092, Time  0.461296
2021-09-07 07:12:38.819448 : Epoch  8, Batch    536, Loss  0.534747, Average Loss  0.535068, Time  0.462402
2021-09-07 07:12:40.703217 : Epoch  8, Batch    537, Loss  0.535899, Average Loss  0.535054, Time  0.461511
2021-09-07 07:12:42.571193 : Epoch  8, Batch    538, Loss  0.544960, Average Loss  0.535128, Time  0.461851
2021-09-07 07:12:44.435160 : Epoch  8, Batch    539, Loss  0.528553, Average Loss  0.535101, Time  0.461229
2021-09-07 07:12:46.293691 : Epoch  8, Batch    540, Loss  0.542083, Average Loss  0.535100, Time  0.461067
2021-09-07 07:12:48.149103 : Epoch  8, Batch    541, Loss  0.530514, Average Loss  0.535092, Time  0.460569
2021-09-07 07:12:50.008512 : Epoch  8, Batch    542, Loss  0.527713, Average Loss  0.534990, Time  0.460934
2021-09-07 07:12:51.895797 : Epoch  8, Batch    543, Loss  0.534002, Average Loss  0.534916, Time  0.462965
2021-09-07 07:12:53.770398 : Epoch  8, Batch    544, Loss  0.534197, Average Loss  0.534930, Time  0.461244
2021-09-07 07:12:55.631503 : Epoch  8, Batch    545, Loss  0.543136, Average Loss  0.535011, Time  0.460785
2021-09-07 07:12:57.487528 : Epoch  8, Batch    546, Loss  0.544886, Average Loss  0.535006, Time  0.460842
2021-09-07 07:12:59.348983 : Epoch  8, Batch    547, Loss  0.524471, Average Loss  0.534972, Time  0.460722
2021-09-07 07:13:01.204202 : Epoch  8, Batch    548, Loss  0.525393, Average Loss  0.534885, Time  0.461601
2021-09-07 07:13:03.078296 : Epoch  8, Batch    549, Loss  0.546982, Average Loss  0.534999, Time  0.460340
2021-09-07 07:13:04.937443 : Epoch  8, Batch    550, Loss  0.544674, Average Loss  0.535090, Time  0.462044
2021-09-07 07:13:06.798502 : Epoch  8, Batch    551, Loss  0.543623, Average Loss  0.535065, Time  0.461318
2021-09-07 07:13:08.666225 : Epoch  8, Batch    552, Loss  0.538540, Average Loss  0.535001, Time  0.461333
2021-09-07 07:13:10.544706 : Epoch  8, Batch    553, Loss  0.520767, Average Loss  0.534919, Time  0.462090
2021-09-07 07:13:12.407440 : Epoch  8, Batch    554, Loss  0.543139, Average Loss  0.535009, Time  0.461269
2021-09-07 07:13:14.273870 : Epoch  8, Batch    555, Loss  0.539766, Average Loss  0.535028, Time  0.463830
2021-09-07 07:13:16.134236 : Epoch  8, Batch    556, Loss  0.531264, Average Loss  0.534993, Time  0.460477
2021-09-07 07:13:18.019035 : Epoch  8, Batch    557, Loss  0.528408, Average Loss  0.534975, Time  0.461714
2021-09-07 07:13:19.902435 : Epoch  8, Batch    558, Loss  0.537950, Average Loss  0.534904, Time  0.461096
2021-09-07 07:13:21.764122 : Epoch  8, Batch    559, Loss  0.533960, Average Loss  0.534894, Time  0.461250
2021-09-07 07:13:23.637740 : Epoch  8, Batch    560, Loss  0.534580, Average Loss  0.534968, Time  0.461277
2021-09-07 07:13:25.500999 : Epoch  8, Batch    561, Loss  0.536353, Average Loss  0.534994, Time  0.462659
2021-09-07 07:13:29.400638 : Epoch  8, Batch    562, Loss  0.530950, Average Loss  0.535002, Time  0.470957
2021-09-07 07:13:31.288406 : Epoch  8, Batch    563, Loss  0.545215, Average Loss  0.535005, Time  0.463209
2021-09-07 07:13:33.166698 : Epoch  8, Batch    564, Loss  0.515670, Average Loss  0.534850, Time  0.461721
2021-09-07 07:13:35.032877 : Epoch  8, Batch    565, Loss  0.536940, Average Loss  0.534884, Time  0.461756
2021-09-07 07:13:36.888037 : Epoch  8, Batch    566, Loss  0.536248, Average Loss  0.534906, Time  0.461330
2021-09-07 07:13:38.765102 : Epoch  8, Batch    567, Loss  0.530398, Average Loss  0.534920, Time  0.460748
2021-09-07 07:13:40.642710 : Epoch  8, Batch    568, Loss  0.529190, Average Loss  0.534959, Time  0.461788
2021-09-07 07:13:42.521474 : Epoch  8, Batch    569, Loss  0.526682, Average Loss  0.535020, Time  0.462073
2021-09-07 07:13:44.403532 : Epoch  8, Batch    570, Loss  0.538574, Average Loss  0.535057, Time  0.461364
2021-09-07 07:13:46.265486 : Epoch  8, Batch    571, Loss  0.526260, Average Loss  0.535015, Time  0.460621
2021-09-07 07:13:48.128140 : Epoch  8, Batch    572, Loss  0.536628, Average Loss  0.535059, Time  0.461053
2021-09-07 07:13:50.011239 : Epoch  8, Batch    573, Loss  0.541321, Average Loss  0.535056, Time  0.461792
2021-09-07 07:13:51.877022 : Epoch  8, Batch    574, Loss  0.526771, Average Loss  0.534964, Time  0.462151
2021-09-07 07:13:53.740725 : Epoch  8, Batch    575, Loss  0.537910, Average Loss  0.535027, Time  0.461436
2021-09-07 07:13:55.610077 : Epoch  8, Batch    576, Loss  0.525602, Average Loss  0.534994, Time  0.460523
2021-09-07 07:13:57.487883 : Epoch  8, Batch    577, Loss  0.536581, Average Loss  0.534912, Time  0.461827
2021-09-07 07:13:59.360219 : Epoch  8, Batch    578, Loss  0.529760, Average Loss  0.534890, Time  0.460821
2021-09-07 07:14:01.227270 : Epoch  8, Batch    579, Loss  0.539671, Average Loss  0.534905, Time  0.461281
2021-09-07 07:14:03.107631 : Epoch  8, Batch    580, Loss  0.532932, Average Loss  0.534933, Time  0.460919
2021-09-07 07:14:04.987707 : Epoch  8, Batch    581, Loss  0.531899, Average Loss  0.534891, Time  0.462042
2021-09-07 07:14:06.879482 : Epoch  8, Batch    582, Loss  0.524103, Average Loss  0.534932, Time  0.461410
2021-09-07 07:14:08.761047 : Epoch  8, Batch    583, Loss  0.525309, Average Loss  0.534877, Time  0.461611
2021-09-07 07:14:10.652254 : Epoch  8, Batch    584, Loss  0.543800, Average Loss  0.534770, Time  0.461862
2021-09-07 07:14:12.541068 : Epoch  8, Batch    585, Loss  0.543370, Average Loss  0.534796, Time  0.461890
2021-09-07 07:14:14.421352 : Epoch  8, Batch    586, Loss  0.532535, Average Loss  0.534770, Time  0.461963
2021-09-07 07:14:16.294518 : Epoch  8, Batch    587, Loss  0.536199, Average Loss  0.534767, Time  0.462532
2021-09-07 07:14:18.168968 : Epoch  8, Batch    588, Loss  0.522605, Average Loss  0.534744, Time  0.460611
2021-09-07 07:14:20.047724 : Epoch  8, Batch    589, Loss  0.545997, Average Loss  0.534720, Time  0.461640
2021-09-07 07:14:21.914906 : Epoch  8, Batch    590, Loss  0.526661, Average Loss  0.534695, Time  0.461854
2021-09-07 07:14:23.779759 : Epoch  8, Batch    591, Loss  0.525467, Average Loss  0.534655, Time  0.460757
2021-09-07 07:15:27.679377 : CheckPoint: Validation Loss  0.00022174, Best Loss  0.00021135
2021-09-07 07:15:29.564187 : Epoch  8, Batch    592, Loss  0.533302, Average Loss  0.534720, Time  0.461696
2021-09-07 07:15:31.429571 : Epoch  8, Batch    593, Loss  0.528469, Average Loss  0.534713, Time  0.461088
2021-09-07 07:15:33.310514 : Epoch  8, Batch    594, Loss  0.538592, Average Loss  0.534799, Time  0.462118
2021-09-07 07:15:35.181112 : Epoch  8, Batch    595, Loss  0.541849, Average Loss  0.534825, Time  0.460695
2021-09-07 07:15:37.061280 : Epoch  8, Batch    596, Loss  0.548587, Average Loss  0.534897, Time  0.461791
2021-09-07 07:15:38.951096 : Epoch  8, Batch    597, Loss  0.540583, Average Loss  0.534941, Time  0.461870
2021-09-07 07:15:40.839764 : Epoch  8, Batch    598, Loss  0.535089, Average Loss  0.534963, Time  0.462119
2021-09-07 07:15:42.730812 : Epoch  8, Batch    599, Loss  0.539232, Average Loss  0.535008, Time  0.461273
2021-09-07 07:15:44.604703 : Epoch  8, Batch    600, Loss  0.520506, Average Loss  0.534965, Time  0.461210
2021-09-07 07:15:46.470424 : Epoch  8, Batch    601, Loss  0.537922, Average Loss  0.534936, Time  0.461650
2021-09-07 07:15:48.352028 : Epoch  8, Batch    602, Loss  0.529792, Average Loss  0.534897, Time  0.460616
2021-09-07 07:15:50.232389 : Epoch  8, Batch    603, Loss  0.527279, Average Loss  0.534816, Time  0.462155
2021-09-07 07:15:52.119235 : Epoch  8, Batch    604, Loss  0.524544, Average Loss  0.534775, Time  0.461568
2021-09-07 07:15:53.998915 : Epoch  8, Batch    605, Loss  0.531278, Average Loss  0.534777, Time  0.461476
2021-09-07 07:15:55.881101 : Epoch  8, Batch    606, Loss  0.529988, Average Loss  0.534756, Time  0.461965
2021-09-07 07:15:57.745552 : Epoch  8, Batch    607, Loss  0.534075, Average Loss  0.534730, Time  0.460664
2021-09-07 07:15:59.606486 : Epoch  8, Batch    608, Loss  0.555353, Average Loss  0.534897, Time  0.461094
2021-09-07 07:16:01.484048 : Epoch  8, Batch    609, Loss  0.521684, Average Loss  0.534833, Time  0.463567
2021-09-07 07:16:03.406394 : Epoch  8, Batch    610, Loss  0.538430, Average Loss  0.534789, Time  0.463495
2021-09-07 07:16:05.311274 : Epoch  8, Batch    611, Loss  0.544194, Average Loss  0.534826, Time  0.463096
2021-09-07 07:16:07.183119 : Epoch  8, Batch    612, Loss  0.525600, Average Loss  0.534863, Time  0.460638
2021-09-07 07:16:09.046422 : Epoch  8, Batch    613, Loss  0.553579, Average Loss  0.534980, Time  0.460161
2021-09-07 07:16:10.925284 : Epoch  8, Batch    614, Loss  0.529164, Average Loss  0.534896, Time  0.460952
2021-09-07 07:16:12.787272 : Epoch  8, Batch    615, Loss  0.548429, Average Loss  0.534878, Time  0.460373
2021-09-07 07:16:14.662013 : Epoch  8, Batch    616, Loss  0.544735, Average Loss  0.534925, Time  0.461573
2021-09-07 07:16:16.545464 : Epoch  8, Batch    617, Loss  0.545684, Average Loss  0.534997, Time  0.461803
2021-09-07 07:16:18.431822 : Epoch  8, Batch    618, Loss  0.535648, Average Loss  0.534951, Time  0.461477
2021-09-07 07:16:20.301835 : Epoch  8, Batch    619, Loss  0.526530, Average Loss  0.534871, Time  0.460921
2021-09-07 07:16:22.165871 : Epoch  8, Batch    620, Loss  0.530699, Average Loss  0.534968, Time  0.460795
2021-09-07 07:16:24.076564 : Epoch  8, Batch    621, Loss  0.536703, Average Loss  0.534977, Time  0.462609
2021-09-07 07:16:25.974006 : Epoch  8, Batch    622, Loss  0.537905, Average Loss  0.534988, Time  0.460734
2021-09-07 07:16:27.862216 : Epoch  8, Batch    623, Loss  0.518191, Average Loss  0.534841, Time  0.461753
2021-09-07 07:16:29.745783 : Epoch  8, Batch    624, Loss  0.525787, Average Loss  0.534872, Time  0.461374
2021-09-07 07:16:31.620039 : Epoch  8, Batch    625, Loss  0.541305, Average Loss  0.534887, Time  0.466052
2021-09-07 07:16:33.519997 : Epoch  8, Batch    626, Loss  0.536553, Average Loss  0.534938, Time  0.460931
2021-09-07 07:16:35.394057 : Epoch  8, Batch    627, Loss  0.538570, Average Loss  0.534987, Time  0.460279
2021-09-07 07:16:37.269209 : Epoch  8, Batch    628, Loss  0.560053, Average Loss  0.535117, Time  0.461308
2021-09-07 07:16:39.134657 : Epoch  8, Batch    629, Loss  0.550591, Average Loss  0.535240, Time  0.460665
2021-09-07 07:16:41.005819 : Epoch  8, Batch    630, Loss  0.542277, Average Loss  0.535245, Time  0.461652
2021-09-07 07:16:42.879375 : Epoch  8, Batch    631, Loss  0.529492, Average Loss  0.535273, Time  0.460395
2021-09-07 07:16:44.756771 : Epoch  8, Batch    632, Loss  0.529223, Average Loss  0.535160, Time  0.462539
2021-09-07 07:16:46.657771 : Epoch  8, Batch    633, Loss  0.525176, Average Loss  0.535097, Time  0.460649
2021-09-07 07:16:48.527559 : Epoch  8, Batch    634, Loss  0.534381, Average Loss  0.535032, Time  0.461219
2021-09-07 07:16:50.390712 : Epoch  8, Batch    635, Loss  0.545514, Average Loss  0.535093, Time  0.460620
2021-09-07 07:16:52.289925 : Epoch  8, Batch    636, Loss  0.529292, Average Loss  0.534980, Time  0.462497
2021-09-07 07:16:54.174003 : Epoch  8, Batch    637, Loss  0.520674, Average Loss  0.534972, Time  0.461104
2021-09-07 07:16:56.034999 : Epoch  8, Batch    638, Loss  0.542356, Average Loss  0.535016, Time  0.460736
2021-09-07 07:16:57.903547 : Epoch  8, Batch    639, Loss  0.536797, Average Loss  0.535049, Time  0.460987
2021-09-07 07:16:59.778267 : Epoch  8, Batch    640, Loss  0.540675, Average Loss  0.535080, Time  0.462597
2021-09-07 07:17:01.666070 : Epoch  8, Batch    641, Loss  0.536434, Average Loss  0.535087, Time  0.461148
2021-09-07 07:17:03.535094 : Epoch  8, Batch    642, Loss  0.528447, Average Loss  0.535033, Time  0.461943
2021-09-07 07:17:05.425026 : Epoch  8, Batch    643, Loss  0.539167, Average Loss  0.535080, Time  0.462112
2021-09-07 07:17:07.318942 : Epoch  8, Batch    644, Loss  0.537704, Average Loss  0.535154, Time  0.462349
2021-09-07 07:17:09.197941 : Epoch  8, Batch    645, Loss  0.540049, Average Loss  0.535171, Time  0.462169
2021-09-07 07:17:11.071569 : Epoch  8, Batch    646, Loss  0.547750, Average Loss  0.535221, Time  0.461881
2021-09-07 07:17:12.942876 : Epoch  8, Batch    647, Loss  0.542064, Average Loss  0.535202, Time  0.461975
2021-09-07 07:17:14.817839 : Epoch  8, Batch    648, Loss  0.530256, Average Loss  0.535199, Time  0.461658
2021-09-07 07:17:16.702847 : Epoch  8, Batch    649, Loss  0.529953, Average Loss  0.535109, Time  0.463616
2021-09-07 07:17:18.614950 : Epoch  8, Batch    650, Loss  0.522848, Average Loss  0.535045, Time  0.461403
2021-09-07 07:17:20.503327 : Epoch  8, Batch    651, Loss  0.560091, Average Loss  0.535083, Time  0.460957
2021-09-07 07:17:22.360604 : Epoch  8, Batch    652, Loss  0.535074, Average Loss  0.535009, Time  0.461775
2021-09-07 07:17:24.234211 : Epoch  8, Batch    653, Loss  0.529922, Average Loss  0.534914, Time  0.460919
2021-09-07 07:17:26.100274 : Epoch  8, Batch    654, Loss  0.532213, Average Loss  0.534888, Time  0.463883
2021-09-07 07:17:27.977564 : Epoch  8, Batch    655, Loss  0.537874, Average Loss  0.534816, Time  0.460810
2021-09-07 07:17:29.856039 : Epoch  8, Batch    656, Loss  0.543148, Average Loss  0.534841, Time  0.460975
2021-09-07 07:17:31.726694 : Epoch  8, Batch    657, Loss  0.536590, Average Loss  0.534814, Time  0.462427
2021-09-07 07:17:33.598800 : Epoch  8, Batch    658, Loss  0.526498, Average Loss  0.534777, Time  0.461351
2021-09-07 07:17:35.475299 : Epoch  8, Batch    659, Loss  0.530805, Average Loss  0.534825, Time  0.461432
2021-09-07 07:17:37.339518 : Epoch  8, Batch    660, Loss  0.536730, Average Loss  0.534868, Time  0.461232
2021-09-07 07:17:39.200435 : Epoch  8, Batch    661, Loss  0.541767, Average Loss  0.534863, Time  0.461308
2021-09-07 07:17:43.193775 : Epoch  8, Batch    662, Loss  0.522629, Average Loss  0.534819, Time  0.473317
2021-09-07 07:17:45.070883 : Epoch  8, Batch    663, Loss  0.529448, Average Loss  0.534803, Time  0.460310
2021-09-07 07:17:46.935806 : Epoch  8, Batch    664, Loss  0.542627, Average Loss  0.534800, Time  0.461165
2021-09-07 07:17:48.793941 : Epoch  8, Batch    665, Loss  0.540496, Average Loss  0.534799, Time  0.460755
2021-09-07 07:17:50.671432 : Epoch  8, Batch    666, Loss  0.523239, Average Loss  0.534649, Time  0.461084
2021-09-07 07:17:52.534192 : Epoch  8, Batch    667, Loss  0.532468, Average Loss  0.534676, Time  0.460726
2021-09-07 07:17:54.402669 : Epoch  8, Batch    668, Loss  0.555522, Average Loss  0.534761, Time  0.461074
2021-09-07 07:17:56.262534 : Epoch  8, Batch    669, Loss  0.539878, Average Loss  0.534797, Time  0.461112
2021-09-07 07:17:58.153962 : Epoch  8, Batch    670, Loss  0.534190, Average Loss  0.534838, Time  0.462409
2021-09-07 07:18:00.029481 : Epoch  8, Batch    671, Loss  0.518917, Average Loss  0.534785, Time  0.462131
2021-09-07 07:18:01.898841 : Epoch  8, Batch    672, Loss  0.537955, Average Loss  0.534780, Time  0.461238
2021-09-07 07:18:03.772020 : Epoch  8, Batch    673, Loss  0.524608, Average Loss  0.534707, Time  0.461162
2021-09-07 07:18:05.632976 : Epoch  8, Batch    674, Loss  0.558853, Average Loss  0.534807, Time  0.461308
2021-09-07 07:18:07.503065 : Epoch  8, Batch    675, Loss  0.532085, Average Loss  0.534785, Time  0.461461
2021-09-07 07:18:09.362808 : Epoch  8, Batch    676, Loss  0.527421, Average Loss  0.534714, Time  0.461657
2021-09-07 07:18:11.233636 : Epoch  8, Batch    677, Loss  0.525384, Average Loss  0.534682, Time  0.460750
2021-09-07 07:18:13.095929 : Epoch  8, Batch    678, Loss  0.529005, Average Loss  0.534695, Time  0.461442
2021-09-07 07:18:14.972273 : Epoch  8, Batch    679, Loss  0.526858, Average Loss  0.534714, Time  0.461610
2021-09-07 07:18:16.834433 : Epoch  8, Batch    680, Loss  0.521463, Average Loss  0.534634, Time  0.461879
2021-09-07 07:18:18.710227 : Epoch  8, Batch    681, Loss  0.534897, Average Loss  0.534615, Time  0.461571
2021-09-07 07:18:20.581420 : Epoch  8, Batch    682, Loss  0.525408, Average Loss  0.534593, Time  0.462533
2021-09-07 07:18:22.448046 : Epoch  8, Batch    683, Loss  0.521496, Average Loss  0.534502, Time  0.461020
2021-09-07 07:18:24.317168 : Epoch  8, Batch    684, Loss  0.548452, Average Loss  0.534564, Time  0.461160
2021-09-07 07:18:26.187432 : Epoch  8, Batch    685, Loss  0.534183, Average Loss  0.534560, Time  0.461720
2021-09-07 07:18:28.064221 : Epoch  8, Batch    686, Loss  0.536651, Average Loss  0.534556, Time  0.460824
2021-09-07 07:18:29.944185 : Epoch  8, Batch    687, Loss  0.540250, Average Loss  0.534613, Time  0.461040
2021-09-07 07:18:31.804399 : Epoch  8, Batch    688, Loss  0.518618, Average Loss  0.534546, Time  0.460827
2021-09-07 07:18:33.670503 : Epoch  8, Batch    689, Loss  0.538481, Average Loss  0.534619, Time  0.460764
2021-09-07 07:18:35.545066 : Epoch  8, Batch    690, Loss  0.527907, Average Loss  0.534571, Time  0.462327
2021-09-07 07:18:37.415056 : Epoch  8, Batch    691, Loss  0.528363, Average Loss  0.534547, Time  0.461092
2021-09-07 07:19:41.435367 : CheckPoint: Validation Loss  0.00022123, Best Loss  0.00021135
2021-09-07 07:19:43.336145 : Epoch  8, Batch    692, Loss  0.542759, Average Loss  0.534586, Time  0.461284
2021-09-07 07:19:45.197146 : Epoch  8, Batch    693, Loss  0.529325, Average Loss  0.534584, Time  0.461477
2021-09-07 07:19:47.056951 : Epoch  8, Batch    694, Loss  0.524859, Average Loss  0.534553, Time  0.460872
2021-09-07 07:19:48.934235 : Epoch  8, Batch    695, Loss  0.523302, Average Loss  0.534546, Time  0.461271
2021-09-07 07:19:50.797085 : Epoch  8, Batch    696, Loss  0.520527, Average Loss  0.534450, Time  0.460567
2021-09-07 07:19:52.657151 : Epoch  8, Batch    697, Loss  0.534671, Average Loss  0.534425, Time  0.461283
2021-09-07 07:19:54.516283 : Epoch  8, Batch    698, Loss  0.521403, Average Loss  0.534306, Time  0.460462
2021-09-07 07:19:56.380899 : Epoch  8, Batch    699, Loss  0.540970, Average Loss  0.534376, Time  0.460992
2021-09-07 07:19:58.244052 : Epoch  8, Batch    700, Loss  0.520355, Average Loss  0.534344, Time  0.462451
2021-09-07 07:20:00.123922 : Epoch  8, Batch    701, Loss  0.540301, Average Loss  0.534395, Time  0.461970
2021-09-07 07:20:02.002029 : Epoch  8, Batch    702, Loss  0.536756, Average Loss  0.534407, Time  0.460668
2021-09-07 07:20:03.868045 : Epoch  8, Batch    703, Loss  0.543147, Average Loss  0.534462, Time  0.461504
2021-09-07 07:20:05.752640 : Epoch  8, Batch    704, Loss  0.531607, Average Loss  0.534421, Time  0.461841
2021-09-07 07:20:07.607415 : Epoch  8, Batch    705, Loss  0.534433, Average Loss  0.534366, Time  0.461162
2021-09-07 07:20:09.470740 : Epoch  8, Batch    706, Loss  0.536337, Average Loss  0.534375, Time  0.460662
2021-09-07 07:20:11.343036 : Epoch  8, Batch    707, Loss  0.529574, Average Loss  0.534415, Time  0.460990
2021-09-07 07:20:13.205069 : Epoch  8, Batch    708, Loss  0.546254, Average Loss  0.534461, Time  0.460905
2021-09-07 07:20:15.065526 : Epoch  8, Batch    709, Loss  0.528507, Average Loss  0.534407, Time  0.461238
2021-09-07 07:20:16.938104 : Epoch  8, Batch    710, Loss  0.525144, Average Loss  0.534369, Time  0.461476
2021-09-07 07:20:18.811897 : Epoch  8, Batch    711, Loss  0.537785, Average Loss  0.534409, Time  0.462126
2021-09-07 07:20:20.681301 : Epoch  8, Batch    712, Loss  0.536779, Average Loss  0.534487, Time  0.461589
2021-09-07 07:20:22.546069 : Epoch  8, Batch    713, Loss  0.543092, Average Loss  0.534475, Time  0.461628
2021-09-07 07:20:24.414447 : Epoch  8, Batch    714, Loss  0.533765, Average Loss  0.534496, Time  0.461084
2021-09-07 07:20:26.272701 : Epoch  8, Batch    715, Loss  0.538662, Average Loss  0.534525, Time  0.462097
2021-09-07 07:20:28.161677 : Epoch  8, Batch    716, Loss  0.534544, Average Loss  0.534565, Time  0.461616
2021-09-07 07:20:30.047993 : Epoch  8, Batch    717, Loss  0.528938, Average Loss  0.534543, Time  0.461102
2021-09-07 07:20:31.910785 : Epoch  8, Batch    718, Loss  0.554067, Average Loss  0.534635, Time  0.460867
2021-09-07 07:20:33.798624 : Epoch  8, Batch    719, Loss  0.536099, Average Loss  0.534628, Time  0.461922
2021-09-07 07:20:35.672789 : Epoch  8, Batch    720, Loss  0.532835, Average Loss  0.534650, Time  0.461690
2021-09-07 07:20:37.553790 : Epoch  8, Batch    721, Loss  0.524306, Average Loss  0.534569, Time  0.461755
2021-09-07 07:20:39.429776 : Epoch  8, Batch    722, Loss  0.542338, Average Loss  0.534578, Time  0.461735
2021-09-07 07:20:41.313749 : Epoch  8, Batch    723, Loss  0.542098, Average Loss  0.534554, Time  0.461132
2021-09-07 07:20:43.173781 : Epoch  8, Batch    724, Loss  0.530151, Average Loss  0.534581, Time  0.461665
2021-09-07 07:20:45.042840 : Epoch  8, Batch    725, Loss  0.532128, Average Loss  0.534512, Time  0.460850
2021-09-07 07:20:46.912721 : Epoch  8, Batch    726, Loss  0.533691, Average Loss  0.534510, Time  0.460954
2021-09-07 07:20:48.782698 : Epoch  8, Batch    727, Loss  0.523555, Average Loss  0.534511, Time  0.461714
2021-09-07 07:20:50.681110 : Epoch  8, Batch    728, Loss  0.542026, Average Loss  0.534535, Time  0.461016
2021-09-07 07:20:52.538118 : Epoch  8, Batch    729, Loss  0.534040, Average Loss  0.534565, Time  0.460922
2021-09-07 07:20:54.429720 : Epoch  8, Batch    730, Loss  0.524297, Average Loss  0.534558, Time  0.462084
2021-09-07 07:20:56.309996 : Epoch  8, Batch    731, Loss  0.547374, Average Loss  0.534703, Time  0.462423
2021-09-07 07:20:58.200828 : Epoch  8, Batch    732, Loss  0.525088, Average Loss  0.534616, Time  0.462127
2021-09-07 07:21:00.076433 : Epoch  8, Batch    733, Loss  0.528566, Average Loss  0.534536, Time  0.461069
2021-09-07 07:21:01.945011 : Epoch  8, Batch    734, Loss  0.516337, Average Loss  0.534412, Time  0.461834
2021-09-07 07:21:03.808253 : Epoch  8, Batch    735, Loss  0.541501, Average Loss  0.534458, Time  0.461478
2021-09-07 07:21:05.670821 : Epoch  8, Batch    736, Loss  0.527717, Average Loss  0.534423, Time  0.461570
2021-09-07 07:21:07.538965 : Epoch  8, Batch    737, Loss  0.513626, Average Loss  0.534311, Time  0.460342
2021-09-07 07:21:09.399188 : Epoch  8, Batch    738, Loss  0.519751, Average Loss  0.534185, Time  0.462797
2021-09-07 07:21:11.261449 : Epoch  8, Batch    739, Loss  0.533324, Average Loss  0.534209, Time  0.462086
2021-09-07 07:21:13.140839 : Epoch  8, Batch    740, Loss  0.521112, Average Loss  0.534104, Time  0.460518
2021-09-07 07:21:15.019283 : Epoch  8, Batch    741, Loss  0.542319, Average Loss  0.534163, Time  0.461618
2021-09-07 07:21:16.894847 : Epoch  8, Batch    742, Loss  0.536969, Average Loss  0.534210, Time  0.461580
2021-09-07 07:21:18.784148 : Epoch  8, Batch    743, Loss  0.540310, Average Loss  0.534241, Time  0.462087
2021-09-07 07:21:20.662961 : Epoch  8, Batch    744, Loss  0.543346, Average Loss  0.534287, Time  0.461590
2021-09-07 07:21:22.529349 : Epoch  8, Batch    745, Loss  0.528869, Average Loss  0.534216, Time  0.460446
2021-09-07 07:21:24.401410 : Epoch  8, Batch    746, Loss  0.536518, Average Loss  0.534174, Time  0.461133
2021-09-07 07:21:26.281043 : Epoch  8, Batch    747, Loss  0.529130, Average Loss  0.534197, Time  0.460886
2021-09-07 07:21:28.153218 : Epoch  8, Batch    748, Loss  0.546021, Average Loss  0.534300, Time  0.460378
2021-09-07 07:21:30.021368 : Epoch  8, Batch    749, Loss  0.531934, Average Loss  0.534225, Time  0.461839
2021-09-07 07:21:31.899265 : Epoch  8, Batch    750, Loss  0.550722, Average Loss  0.534255, Time  0.461724
2021-09-07 07:21:33.776292 : Epoch  8, Batch    751, Loss  0.538116, Average Loss  0.534228, Time  0.461036
2021-09-07 07:21:35.642326 : Epoch  8, Batch    752, Loss  0.533540, Average Loss  0.534203, Time  0.460988
2021-09-07 07:21:37.506785 : Epoch  8, Batch    753, Loss  0.526913, Average Loss  0.534233, Time  0.460977
2021-09-07 07:21:39.371403 : Epoch  8, Batch    754, Loss  0.542206, Average Loss  0.534229, Time  0.461710
2021-09-07 07:21:41.235004 : Epoch  8, Batch    755, Loss  0.540669, Average Loss  0.534233, Time  0.461453
2021-09-07 07:21:43.104048 : Epoch  8, Batch    756, Loss  0.535748, Average Loss  0.534256, Time  0.460872
2021-09-07 07:21:44.980908 : Epoch  8, Batch    757, Loss  0.510346, Average Loss  0.534165, Time  0.461033
2021-09-07 07:21:46.857766 : Epoch  8, Batch    758, Loss  0.536689, Average Loss  0.534159, Time  0.463457
2021-09-07 07:21:48.727326 : Epoch  8, Batch    759, Loss  0.543647, Average Loss  0.534207, Time  0.460477
2021-09-07 07:21:50.593016 : Epoch  8, Batch    760, Loss  0.542762, Average Loss  0.534248, Time  0.461084
2021-09-07 07:21:52.490341 : Epoch  8, Batch    761, Loss  0.515524, Average Loss  0.534144, Time  0.462123
2021-09-07 07:21:56.460768 : Epoch  8, Batch    762, Loss  0.539997, Average Loss  0.534189, Time  0.470241
2021-09-07 07:21:58.320654 : Epoch  8, Batch    763, Loss  0.541763, Average Loss  0.534172, Time  0.462124
2021-09-07 07:22:00.201984 : Epoch  8, Batch    764, Loss  0.538276, Average Loss  0.534285, Time  0.462579
2021-09-07 07:22:02.081794 : Epoch  8, Batch    765, Loss  0.552944, Average Loss  0.534365, Time  0.462233
2021-09-07 07:22:03.947759 : Epoch  8, Batch    766, Loss  0.539157, Average Loss  0.534380, Time  0.461586
2021-09-07 07:22:05.824497 : Epoch  8, Batch    767, Loss  0.536645, Average Loss  0.534411, Time  0.461331
2021-09-07 07:22:07.685029 : Epoch  8, Batch    768, Loss  0.527523, Average Loss  0.534403, Time  0.461059
2021-09-07 07:22:09.551358 : Epoch  8, Batch    769, Loss  0.532555, Average Loss  0.534432, Time  0.462165
2021-09-07 07:22:11.428067 : Epoch  8, Batch    770, Loss  0.519575, Average Loss  0.534337, Time  0.461142
2021-09-07 07:22:13.306384 : Epoch  8, Batch    771, Loss  0.537302, Average Loss  0.534392, Time  0.463179
2021-09-07 07:22:15.195650 : Epoch  8, Batch    772, Loss  0.538228, Average Loss  0.534400, Time  0.461405
2021-09-07 07:22:17.064464 : Epoch  8, Batch    773, Loss  0.529198, Average Loss  0.534340, Time  0.461029
2021-09-07 07:22:18.930206 : Epoch  8, Batch    774, Loss  0.525056, Average Loss  0.534331, Time  0.460937
2021-09-07 07:22:20.798960 : Epoch  8, Batch    775, Loss  0.531469, Average Loss  0.534299, Time  0.463031
2021-09-07 07:22:22.674909 : Epoch  8, Batch    776, Loss  0.526033, Average Loss  0.534301, Time  0.460754
2021-09-07 07:22:24.544446 : Epoch  8, Batch    777, Loss  0.530768, Average Loss  0.534272, Time  0.461976
2021-09-07 07:22:26.418635 : Epoch  8, Batch    778, Loss  0.543545, Average Loss  0.534341, Time  0.462149
2021-09-07 07:22:28.289076 : Epoch  8, Batch    779, Loss  0.525432, Average Loss  0.534270, Time  0.461103
2021-09-07 07:22:30.165555 : Epoch  8, Batch    780, Loss  0.545608, Average Loss  0.534333, Time  0.460803
2021-09-07 07:22:32.058449 : Epoch  8, Batch    781, Loss  0.529995, Average Loss  0.534324, Time  0.462075
2021-09-07 07:22:33.942017 : Epoch  8, Batch    782, Loss  0.542082, Average Loss  0.534413, Time  0.461674
2021-09-07 07:22:35.842104 : Epoch  8, Batch    783, Loss  0.538148, Average Loss  0.534478, Time  0.462286
2021-09-07 07:22:37.713111 : Epoch  8, Batch    784, Loss  0.523604, Average Loss  0.534377, Time  0.461462
2021-09-07 07:22:39.582761 : Epoch  8, Batch    785, Loss  0.527692, Average Loss  0.534298, Time  0.461160
2021-09-07 07:22:41.465538 : Epoch  8, Batch    786, Loss  0.507907, Average Loss  0.534175, Time  0.463174
2021-09-07 07:22:43.355616 : Epoch  8, Batch    787, Loss  0.549659, Average Loss  0.534242, Time  0.461646
2021-09-07 07:22:43.384373 : Saving Model after 8-th Epoch.
2021-09-07 07:22:47.664418 : Epoch Finished.
2021-09-07 07:22:49.738524 : Batch Shuffled
2021-09-07 07:22:51.622510 : Epoch  9, Batch      1, Loss  0.538706, Average Loss  0.534323, Time  0.476795
2021-09-07 07:22:53.478450 : Epoch  9, Batch      2, Loss  0.530138, Average Loss  0.534244, Time  0.461033
2021-09-07 07:22:55.343636 : Epoch  9, Batch      3, Loss  0.530104, Average Loss  0.534261, Time  0.462013
2021-09-07 07:22:57.220058 : Epoch  9, Batch      4, Loss  0.526482, Average Loss  0.534266, Time  0.462184
2021-09-07 07:24:00.990982 : CheckPoint: Validation Loss  0.00023030, Best Loss  0.00021135
2021-09-07 07:24:02.886533 : Epoch  9, Batch      5, Loss  0.525457, Average Loss  0.534227, Time  0.462029
2021-09-07 07:24:04.769780 : Epoch  9, Batch      6, Loss  0.528801, Average Loss  0.534228, Time  0.460724
2021-09-07 07:24:06.654860 : Epoch  9, Batch      7, Loss  0.538429, Average Loss  0.534228, Time  0.461591
2021-09-07 07:24:08.534092 : Epoch  9, Batch      8, Loss  0.528728, Average Loss  0.534162, Time  0.461156
2021-09-07 07:24:10.398235 : Epoch  9, Batch      9, Loss  0.536068, Average Loss  0.534099, Time  0.460607
2021-09-07 07:24:12.263825 : Epoch  9, Batch     10, Loss  0.526889, Average Loss  0.534031, Time  0.461685
2021-09-07 07:24:14.134336 : Epoch  9, Batch     11, Loss  0.530484, Average Loss  0.534008, Time  0.460846
2021-09-07 07:24:15.985646 : Epoch  9, Batch     12, Loss  0.532225, Average Loss  0.533973, Time  0.462130
2021-09-07 07:24:17.859034 : Epoch  9, Batch     13, Loss  0.519345, Average Loss  0.533967, Time  0.461611
2021-09-07 07:24:19.725478 : Epoch  9, Batch     14, Loss  0.551537, Average Loss  0.534035, Time  0.463003
2021-09-07 07:24:21.597038 : Epoch  9, Batch     15, Loss  0.523312, Average Loss  0.534003, Time  0.461514
2021-09-07 07:24:23.468117 : Epoch  9, Batch     16, Loss  0.538628, Average Loss  0.534059, Time  0.461912
2021-09-07 07:24:25.331328 : Epoch  9, Batch     17, Loss  0.520942, Average Loss  0.534041, Time  0.460897
2021-09-07 07:24:27.183194 : Epoch  9, Batch     18, Loss  0.550487, Average Loss  0.534137, Time  0.460829
2021-09-07 07:24:29.054651 : Epoch  9, Batch     19, Loss  0.522696, Average Loss  0.534101, Time  0.461863
2021-09-07 07:24:30.934156 : Epoch  9, Batch     20, Loss  0.521798, Average Loss  0.534040, Time  0.461282
2021-09-07 07:24:32.811140 : Epoch  9, Batch     21, Loss  0.537835, Average Loss  0.533952, Time  0.462194
2021-09-07 07:24:34.686540 : Epoch  9, Batch     22, Loss  0.531455, Average Loss  0.534001, Time  0.462036
2021-09-07 07:24:36.543072 : Epoch  9, Batch     23, Loss  0.538108, Average Loss  0.533999, Time  0.461339
2021-09-07 07:24:38.399775 : Epoch  9, Batch     24, Loss  0.541165, Average Loss  0.533984, Time  0.461407
2021-09-07 07:24:40.273645 : Epoch  9, Batch     25, Loss  0.517747, Average Loss  0.533945, Time  0.462001
2021-09-07 07:24:42.135572 : Epoch  9, Batch     26, Loss  0.525277, Average Loss  0.533803, Time  0.461399
2021-09-07 07:24:43.990977 : Epoch  9, Batch     27, Loss  0.534471, Average Loss  0.533830, Time  0.462305
2021-09-07 07:24:45.859753 : Epoch  9, Batch     28, Loss  0.529066, Average Loss  0.533733, Time  0.462070
2021-09-07 07:24:47.726003 : Epoch  9, Batch     29, Loss  0.525853, Average Loss  0.533639, Time  0.461783
2021-09-07 07:24:49.597168 : Epoch  9, Batch     30, Loss  0.531106, Average Loss  0.533566, Time  0.461500
2021-09-07 07:24:51.451315 : Epoch  9, Batch     31, Loss  0.542167, Average Loss  0.533598, Time  0.461726
2021-09-07 07:24:53.326536 : Epoch  9, Batch     32, Loss  0.527414, Average Loss  0.533603, Time  0.461727
2021-09-07 07:24:55.197300 : Epoch  9, Batch     33, Loss  0.529786, Average Loss  0.533598, Time  0.461042
2021-09-07 07:24:57.045140 : Epoch  9, Batch     34, Loss  0.541735, Average Loss  0.533623, Time  0.461173
2021-09-07 07:24:58.922314 : Epoch  9, Batch     35, Loss  0.521466, Average Loss  0.533541, Time  0.462365
2021-09-07 07:25:00.792517 : Epoch  9, Batch     36, Loss  0.543892, Average Loss  0.533670, Time  0.461625
2021-09-07 07:25:02.658589 : Epoch  9, Batch     37, Loss  0.540383, Average Loss  0.533743, Time  0.460982
2021-09-07 07:25:04.510624 : Epoch  9, Batch     38, Loss  0.535656, Average Loss  0.533714, Time  0.461691
2021-09-07 07:25:06.372525 : Epoch  9, Batch     39, Loss  0.526813, Average Loss  0.533666, Time  0.463171
2021-09-07 07:25:08.218897 : Epoch  9, Batch     40, Loss  0.532818, Average Loss  0.533637, Time  0.460614
2021-09-07 07:25:10.083167 : Epoch  9, Batch     41, Loss  0.532855, Average Loss  0.533501, Time  0.461696
2021-09-07 07:25:11.946552 : Epoch  9, Batch     42, Loss  0.545452, Average Loss  0.533475, Time  0.460780
2021-09-07 07:25:13.806905 : Epoch  9, Batch     43, Loss  0.535471, Average Loss  0.533441, Time  0.461539
2021-09-07 07:25:15.667165 : Epoch  9, Batch     44, Loss  0.540193, Average Loss  0.533495, Time  0.461400
2021-09-07 07:25:17.543189 : Epoch  9, Batch     45, Loss  0.524667, Average Loss  0.533472, Time  0.461507
2021-09-07 07:25:19.417887 : Epoch  9, Batch     46, Loss  0.538437, Average Loss  0.533538, Time  0.461071
2021-09-07 07:25:21.263043 : Epoch  9, Batch     47, Loss  0.527094, Average Loss  0.533502, Time  0.460517
2021-09-07 07:25:23.119554 : Epoch  9, Batch     48, Loss  0.538111, Average Loss  0.533465, Time  0.460670
2021-09-07 07:25:24.970142 : Epoch  9, Batch     49, Loss  0.526846, Average Loss  0.533453, Time  0.461146
2021-09-07 07:25:26.819845 : Epoch  9, Batch     50, Loss  0.538835, Average Loss  0.533543, Time  0.460904
2021-09-07 07:25:28.691417 : Epoch  9, Batch     51, Loss  0.536250, Average Loss  0.533513, Time  0.462780
2021-09-07 07:25:30.575529 : Epoch  9, Batch     52, Loss  0.536583, Average Loss  0.533512, Time  0.461516
2021-09-07 07:25:32.450650 : Epoch  9, Batch     53, Loss  0.529195, Average Loss  0.533454, Time  0.462071
2021-09-07 07:25:34.320185 : Epoch  9, Batch     54, Loss  0.532496, Average Loss  0.533435, Time  0.461528
2021-09-07 07:25:36.190460 : Epoch  9, Batch     55, Loss  0.542124, Average Loss  0.533503, Time  0.461272
2021-09-07 07:25:38.050020 : Epoch  9, Batch     56, Loss  0.541313, Average Loss  0.533514, Time  0.460616
2021-09-07 07:25:39.921089 : Epoch  9, Batch     57, Loss  0.525483, Average Loss  0.533453, Time  0.462085
2021-09-07 07:25:41.772947 : Epoch  9, Batch     58, Loss  0.531781, Average Loss  0.533411, Time  0.460896
2021-09-07 07:25:43.628150 : Epoch  9, Batch     59, Loss  0.520632, Average Loss  0.533276, Time  0.460977
2021-09-07 07:25:45.499154 : Epoch  9, Batch     60, Loss  0.528452, Average Loss  0.533208, Time  0.461885
2021-09-07 07:25:47.362940 : Epoch  9, Batch     61, Loss  0.526518, Average Loss  0.533189, Time  0.460474
2021-09-07 07:25:49.231804 : Epoch  9, Batch     62, Loss  0.529760, Average Loss  0.533188, Time  0.461319
2021-09-07 07:25:51.105862 : Epoch  9, Batch     63, Loss  0.540568, Average Loss  0.533277, Time  0.462609
2021-09-07 07:25:52.990445 : Epoch  9, Batch     64, Loss  0.521812, Average Loss  0.533085, Time  0.461261
2021-09-07 07:25:54.860401 : Epoch  9, Batch     65, Loss  0.542638, Average Loss  0.533123, Time  0.461295
2021-09-07 07:25:56.721656 : Epoch  9, Batch     66, Loss  0.536754, Average Loss  0.533157, Time  0.461217
2021-09-07 07:25:58.576979 : Epoch  9, Batch     67, Loss  0.527842, Average Loss  0.533135, Time  0.460626
2021-09-07 07:26:00.450172 : Epoch  9, Batch     68, Loss  0.541790, Average Loss  0.533155, Time  0.460752
2021-09-07 07:26:02.318845 : Epoch  9, Batch     69, Loss  0.528222, Average Loss  0.533080, Time  0.461273
2021-09-07 07:26:04.184151 : Epoch  9, Batch     70, Loss  0.533716, Average Loss  0.533066, Time  0.461097
2021-09-07 07:26:06.057518 : Epoch  9, Batch     71, Loss  0.548765, Average Loss  0.533177, Time  0.461530
2021-09-07 07:26:07.927136 : Epoch  9, Batch     72, Loss  0.533872, Average Loss  0.533193, Time  0.460624
2021-09-07 07:26:09.786801 : Epoch  9, Batch     73, Loss  0.537852, Average Loss  0.533198, Time  0.461520
2021-09-07 07:26:11.666013 : Epoch  9, Batch     74, Loss  0.529207, Average Loss  0.533135, Time  0.461584
2021-09-07 07:26:15.682127 : Epoch  9, Batch     75, Loss  0.511997, Average Loss  0.533082, Time  0.476474
2021-09-07 07:26:17.563533 : Epoch  9, Batch     76, Loss  0.528495, Average Loss  0.533078, Time  0.462044
2021-09-07 07:26:19.436466 : Epoch  9, Batch     77, Loss  0.540335, Average Loss  0.533066, Time  0.460504
2021-09-07 07:26:21.293381 : Epoch  9, Batch     78, Loss  0.524353, Average Loss  0.532985, Time  0.460644
2021-09-07 07:26:23.155258 : Epoch  9, Batch     79, Loss  0.522747, Average Loss  0.532983, Time  0.460579
2021-09-07 07:26:25.029734 : Epoch  9, Batch     80, Loss  0.540599, Average Loss  0.533024, Time  0.460737
2021-09-07 07:26:26.901654 : Epoch  9, Batch     81, Loss  0.529238, Average Loss  0.532892, Time  0.461788
2021-09-07 07:26:28.763816 : Epoch  9, Batch     82, Loss  0.527564, Average Loss  0.532831, Time  0.460604
2021-09-07 07:26:30.638568 : Epoch  9, Batch     83, Loss  0.537412, Average Loss  0.532847, Time  0.461040
2021-09-07 07:26:32.504476 : Epoch  9, Batch     84, Loss  0.531991, Average Loss  0.532912, Time  0.460944
2021-09-07 07:26:34.368904 : Epoch  9, Batch     85, Loss  0.540861, Average Loss  0.532927, Time  0.461794
2021-09-07 07:26:36.251413 : Epoch  9, Batch     86, Loss  0.530350, Average Loss  0.532955, Time  0.461698
2021-09-07 07:26:38.119588 : Epoch  9, Batch     87, Loss  0.536696, Average Loss  0.532844, Time  0.460580
2021-09-07 07:26:39.997465 : Epoch  9, Batch     88, Loss  0.534974, Average Loss  0.532859, Time  0.460966
2021-09-07 07:26:41.863261 : Epoch  9, Batch     89, Loss  0.530860, Average Loss  0.532876, Time  0.462698
2021-09-07 07:26:43.743085 : Epoch  9, Batch     90, Loss  0.541461, Average Loss  0.532957, Time  0.461004
2021-09-07 07:26:45.609656 : Epoch  9, Batch     91, Loss  0.539460, Average Loss  0.533009, Time  0.461892
2021-09-07 07:26:47.494539 : Epoch  9, Batch     92, Loss  0.527074, Average Loss  0.533010, Time  0.461523
2021-09-07 07:26:49.368793 : Epoch  9, Batch     93, Loss  0.524068, Average Loss  0.533023, Time  0.460340
2021-09-07 07:26:51.225802 : Epoch  9, Batch     94, Loss  0.528523, Average Loss  0.532991, Time  0.461924
2021-09-07 07:26:53.107464 : Epoch  9, Batch     95, Loss  0.524968, Average Loss  0.532989, Time  0.463611
2021-09-07 07:26:54.972000 : Epoch  9, Batch     96, Loss  0.538631, Average Loss  0.533075, Time  0.460914
2021-09-07 07:26:56.841568 : Epoch  9, Batch     97, Loss  0.532966, Average Loss  0.532997, Time  0.461648
2021-09-07 07:26:58.732723 : Epoch  9, Batch     98, Loss  0.530966, Average Loss  0.532981, Time  0.461083
2021-09-07 07:27:00.594959 : Epoch  9, Batch     99, Loss  0.523401, Average Loss  0.532915, Time  0.461281
2021-09-07 07:27:02.462509 : Epoch  9, Batch    100, Loss  0.543732, Average Loss  0.532932, Time  0.461265
2021-09-07 07:27:04.330895 : Epoch  9, Batch    101, Loss  0.525616, Average Loss  0.532967, Time  0.461213
2021-09-07 07:27:06.213490 : Epoch  9, Batch    102, Loss  0.531566, Average Loss  0.532933, Time  0.461696
2021-09-07 07:27:08.094008 : Epoch  9, Batch    103, Loss  0.554894, Average Loss  0.533067, Time  0.461179
2021-09-07 07:27:09.973101 : Epoch  9, Batch    104, Loss  0.519093, Average Loss  0.533021, Time  0.460937
2021-09-07 07:28:13.967167 : CheckPoint: Validation Loss  0.00021417, Best Loss  0.00021135
2021-09-07 07:28:15.885417 : Epoch  9, Batch    105, Loss  0.530435, Average Loss  0.532960, Time  0.462111
2021-09-07 07:28:17.757329 : Epoch  9, Batch    106, Loss  0.530004, Average Loss  0.532963, Time  0.460733
2021-09-07 07:28:19.644765 : Epoch  9, Batch    107, Loss  0.546576, Average Loss  0.533072, Time  0.461318
2021-09-07 07:28:21.533293 : Epoch  9, Batch    108, Loss  0.541415, Average Loss  0.533162, Time  0.462197
2021-09-07 07:28:23.416078 : Epoch  9, Batch    109, Loss  0.522608, Average Loss  0.533172, Time  0.460821
2021-09-07 07:28:25.284692 : Epoch  9, Batch    110, Loss  0.543910, Average Loss  0.533219, Time  0.461264
2021-09-07 07:28:27.157314 : Epoch  9, Batch    111, Loss  0.521282, Average Loss  0.533218, Time  0.461339
2021-09-07 07:28:29.039047 : Epoch  9, Batch    112, Loss  0.540434, Average Loss  0.533215, Time  0.462787
2021-09-07 07:28:30.924797 : Epoch  9, Batch    113, Loss  0.534589, Average Loss  0.533287, Time  0.460882
2021-09-07 07:28:32.801755 : Epoch  9, Batch    114, Loss  0.528563, Average Loss  0.533228, Time  0.462111
2021-09-07 07:28:34.692769 : Epoch  9, Batch    115, Loss  0.533713, Average Loss  0.533213, Time  0.461700
2021-09-07 07:28:36.561193 : Epoch  9, Batch    116, Loss  0.535215, Average Loss  0.533173, Time  0.462034
2021-09-07 07:28:38.430503 : Epoch  9, Batch    117, Loss  0.529040, Average Loss  0.533160, Time  0.461090
2021-09-07 07:28:40.304223 : Epoch  9, Batch    118, Loss  0.536380, Average Loss  0.533170, Time  0.462124
2021-09-07 07:28:42.191535 : Epoch  9, Batch    119, Loss  0.549493, Average Loss  0.533236, Time  0.461881
2021-09-07 07:28:44.072434 : Epoch  9, Batch    120, Loss  0.524989, Average Loss  0.533213, Time  0.462224
2021-09-07 07:28:45.935951 : Epoch  9, Batch    121, Loss  0.529730, Average Loss  0.533130, Time  0.461221
2021-09-07 07:28:47.805461 : Epoch  9, Batch    122, Loss  0.523290, Average Loss  0.533104, Time  0.462393
2021-09-07 07:28:49.697094 : Epoch  9, Batch    123, Loss  0.526991, Average Loss  0.533113, Time  0.461721
2021-09-07 07:28:51.577416 : Epoch  9, Batch    124, Loss  0.537815, Average Loss  0.533113, Time  0.460728
2021-09-07 07:28:53.461511 : Epoch  9, Batch    125, Loss  0.527401, Average Loss  0.533067, Time  0.462418
2021-09-07 07:28:55.339482 : Epoch  9, Batch    126, Loss  0.533359, Average Loss  0.533018, Time  0.461215
2021-09-07 07:28:57.235869 : Epoch  9, Batch    127, Loss  0.533229, Average Loss  0.533015, Time  0.463841
2021-09-07 07:28:59.101756 : Epoch  9, Batch    128, Loss  0.555171, Average Loss  0.533098, Time  0.460869
2021-09-07 07:29:00.989052 : Epoch  9, Batch    129, Loss  0.526483, Average Loss  0.533057, Time  0.461874
2021-09-07 07:29:02.871406 : Epoch  9, Batch    130, Loss  0.520129, Average Loss  0.533013, Time  0.461632
2021-09-07 07:29:04.748644 : Epoch  9, Batch    131, Loss  0.521894, Average Loss  0.532853, Time  0.460879
2021-09-07 07:29:06.619838 : Epoch  9, Batch    132, Loss  0.532031, Average Loss  0.532832, Time  0.461130
2021-09-07 07:29:08.481743 : Epoch  9, Batch    133, Loss  0.534971, Average Loss  0.532843, Time  0.460913
2021-09-07 07:29:10.357355 : Epoch  9, Batch    134, Loss  0.551078, Average Loss  0.532977, Time  0.461788
2021-09-07 07:29:12.223145 : Epoch  9, Batch    135, Loss  0.543091, Average Loss  0.532980, Time  0.460393
2021-09-07 07:29:14.085444 : Epoch  9, Batch    136, Loss  0.526552, Average Loss  0.532903, Time  0.462589
2021-09-07 07:29:15.982211 : Epoch  9, Batch    137, Loss  0.535404, Average Loss  0.532929, Time  0.461386
2021-09-07 07:29:17.848186 : Epoch  9, Batch    138, Loss  0.542308, Average Loss  0.532980, Time  0.461442
2021-09-07 07:29:19.736830 : Epoch  9, Batch    139, Loss  0.542937, Average Loss  0.533026, Time  0.462100
2021-09-07 07:29:21.612414 : Epoch  9, Batch    140, Loss  0.535981, Average Loss  0.533088, Time  0.460845
2021-09-07 07:29:23.478498 : Epoch  9, Batch    141, Loss  0.536218, Average Loss  0.533059, Time  0.460856
2021-09-07 07:29:25.342653 : Epoch  9, Batch    142, Loss  0.547734, Average Loss  0.533128, Time  0.461617
2021-09-07 07:29:27.229742 : Epoch  9, Batch    143, Loss  0.524025, Average Loss  0.533126, Time  0.461635
2021-09-07 07:29:29.120733 : Epoch  9, Batch    144, Loss  0.541217, Average Loss  0.533096, Time  0.461311
2021-09-07 07:29:31.009826 : Epoch  9, Batch    145, Loss  0.531919, Average Loss  0.533130, Time  0.461553
2021-09-07 07:29:32.898056 : Epoch  9, Batch    146, Loss  0.540074, Average Loss  0.533187, Time  0.461554
2021-09-07 07:29:34.787460 : Epoch  9, Batch    147, Loss  0.534860, Average Loss  0.533280, Time  0.460613
2021-09-07 07:29:36.645957 : Epoch  9, Batch    148, Loss  0.526296, Average Loss  0.533204, Time  0.460645
2021-09-07 07:29:38.514742 : Epoch  9, Batch    149, Loss  0.530125, Average Loss  0.533216, Time  0.462181
2021-09-07 07:29:40.394532 : Epoch  9, Batch    150, Loss  0.516210, Average Loss  0.533229, Time  0.461088
2021-09-07 07:29:42.269025 : Epoch  9, Batch    151, Loss  0.534905, Average Loss  0.533305, Time  0.461023
2021-09-07 07:29:44.146482 : Epoch  9, Batch    152, Loss  0.520044, Average Loss  0.533238, Time  0.461065
2021-09-07 07:29:46.013257 : Epoch  9, Batch    153, Loss  0.519488, Average Loss  0.533230, Time  0.460502
2021-09-07 07:29:47.884542 : Epoch  9, Batch    154, Loss  0.536694, Average Loss  0.533202, Time  0.460288
2021-09-07 07:29:49.748379 : Epoch  9, Batch    155, Loss  0.536823, Average Loss  0.533201, Time  0.461444
2021-09-07 07:29:51.625275 : Epoch  9, Batch    156, Loss  0.525582, Average Loss  0.533128, Time  0.461248
2021-09-07 07:29:53.492670 : Epoch  9, Batch    157, Loss  0.538969, Average Loss  0.533106, Time  0.461562
2021-09-07 07:29:55.375496 : Epoch  9, Batch    158, Loss  0.518724, Average Loss  0.533055, Time  0.461146
2021-09-07 07:29:57.249920 : Epoch  9, Batch    159, Loss  0.539230, Average Loss  0.533069, Time  0.461494
2021-09-07 07:29:59.122911 : Epoch  9, Batch    160, Loss  0.533639, Average Loss  0.533091, Time  0.462260
2021-09-07 07:30:00.999614 : Epoch  9, Batch    161, Loss  0.526030, Average Loss  0.532991, Time  0.460644
2021-09-07 07:30:02.865609 : Epoch  9, Batch    162, Loss  0.531536, Average Loss  0.532989, Time  0.460609
2021-09-07 07:30:04.741319 : Epoch  9, Batch    163, Loss  0.525509, Average Loss  0.532863, Time  0.461764
2021-09-07 07:30:06.620162 : Epoch  9, Batch    164, Loss  0.519882, Average Loss  0.532772, Time  0.460472
2021-09-07 07:30:08.496766 : Epoch  9, Batch    165, Loss  0.519226, Average Loss  0.532700, Time  0.461720
2021-09-07 07:30:10.382848 : Epoch  9, Batch    166, Loss  0.543782, Average Loss  0.532785, Time  0.460579
2021-09-07 07:30:12.255552 : Epoch  9, Batch    167, Loss  0.545843, Average Loss  0.532803, Time  0.462485
2021-09-07 07:30:14.110074 : Epoch  9, Batch    168, Loss  0.526523, Average Loss  0.532732, Time  0.461046
2021-09-07 07:30:15.982703 : Epoch  9, Batch    169, Loss  0.530941, Average Loss  0.532708, Time  0.460939
2021-09-07 07:30:17.842103 : Epoch  9, Batch    170, Loss  0.533928, Average Loss  0.532826, Time  0.461502
2021-09-07 07:30:19.723811 : Epoch  9, Batch    171, Loss  0.523694, Average Loss  0.532761, Time  0.461491
2021-09-07 07:30:21.602481 : Epoch  9, Batch    172, Loss  0.529419, Average Loss  0.532690, Time  0.461555
2021-09-07 07:30:23.467625 : Epoch  9, Batch    173, Loss  0.536392, Average Loss  0.532658, Time  0.461907
2021-09-07 07:30:25.349975 : Epoch  9, Batch    174, Loss  0.520784, Average Loss  0.532684, Time  0.462301
2021-09-07 07:30:29.305750 : Epoch  9, Batch    175, Loss  0.524611, Average Loss  0.532607, Time  0.470734
2021-09-07 07:30:31.162553 : Epoch  9, Batch    176, Loss  0.519830, Average Loss  0.532498, Time  0.461044
2021-09-07 07:30:33.014131 : Epoch  9, Batch    177, Loss  0.516585, Average Loss  0.532389, Time  0.461010
2021-09-07 07:30:34.874535 : Epoch  9, Batch    178, Loss  0.523551, Average Loss  0.532242, Time  0.461956
2021-09-07 07:30:36.746991 : Epoch  9, Batch    179, Loss  0.514254, Average Loss  0.532118, Time  0.462015
2021-09-07 07:30:38.611494 : Epoch  9, Batch    180, Loss  0.516934, Average Loss  0.532019, Time  0.460705
2021-09-07 07:30:40.482140 : Epoch  9, Batch    181, Loss  0.542725, Average Loss  0.532095, Time  0.462328
2021-09-07 07:30:42.350027 : Epoch  9, Batch    182, Loss  0.530820, Average Loss  0.532087, Time  0.460562
2021-09-07 07:30:44.213616 : Epoch  9, Batch    183, Loss  0.536658, Average Loss  0.532172, Time  0.461252
2021-09-07 07:30:46.076513 : Epoch  9, Batch    184, Loss  0.518218, Average Loss  0.532077, Time  0.460479
2021-09-07 07:30:47.938745 : Epoch  9, Batch    185, Loss  0.530821, Average Loss  0.532040, Time  0.460643
2021-09-07 07:30:49.814044 : Epoch  9, Batch    186, Loss  0.537924, Average Loss  0.532083, Time  0.463614
2021-09-07 07:30:51.669695 : Epoch  9, Batch    187, Loss  0.528153, Average Loss  0.532099, Time  0.460930
2021-09-07 07:30:53.561119 : Epoch  9, Batch    188, Loss  0.530738, Average Loss  0.532095, Time  0.461778
2021-09-07 07:30:55.425936 : Epoch  9, Batch    189, Loss  0.539101, Average Loss  0.532160, Time  0.460939
2021-09-07 07:30:57.295558 : Epoch  9, Batch    190, Loss  0.530562, Average Loss  0.532159, Time  0.460802
2021-09-07 07:30:59.176524 : Epoch  9, Batch    191, Loss  0.542227, Average Loss  0.532153, Time  0.460964
2021-09-07 07:31:01.039940 : Epoch  9, Batch    192, Loss  0.532864, Average Loss  0.532190, Time  0.460552
2021-09-07 07:31:02.899797 : Epoch  9, Batch    193, Loss  0.551411, Average Loss  0.532219, Time  0.460637
2021-09-07 07:31:04.763510 : Epoch  9, Batch    194, Loss  0.531504, Average Loss  0.532226, Time  0.460171
2021-09-07 07:31:06.643331 : Epoch  9, Batch    195, Loss  0.513476, Average Loss  0.532083, Time  0.461967
2021-09-07 07:31:08.528041 : Epoch  9, Batch    196, Loss  0.524830, Average Loss  0.532017, Time  0.461287
2021-09-07 07:31:10.405911 : Epoch  9, Batch    197, Loss  0.527942, Average Loss  0.532039, Time  0.461957
2021-09-07 07:31:12.289669 : Epoch  9, Batch    198, Loss  0.527641, Average Loss  0.532038, Time  0.460462
2021-09-07 07:31:14.155748 : Epoch  9, Batch    199, Loss  0.519327, Average Loss  0.532095, Time  0.462971
2021-09-07 07:31:16.022577 : Epoch  9, Batch    200, Loss  0.531931, Average Loss  0.532007, Time  0.460247
2021-09-07 07:31:17.880659 : Epoch  9, Batch    201, Loss  0.536769, Average Loss  0.531997, Time  0.460963
2021-09-07 07:31:19.752360 : Epoch  9, Batch    202, Loss  0.531871, Average Loss  0.532006, Time  0.461229
2021-09-07 07:31:21.622311 : Epoch  9, Batch    203, Loss  0.527682, Average Loss  0.531994, Time  0.460000
2021-09-07 07:31:23.479719 : Epoch  9, Batch    204, Loss  0.523794, Average Loss  0.531980, Time  0.460307
2021-09-07 07:32:27.131975 : CheckPoint: Validation Loss  0.00022148, Best Loss  0.00021135
2021-09-07 07:32:29.014315 : Epoch  9, Batch    205, Loss  0.535524, Average Loss  0.532030, Time  0.464057
2021-09-07 07:32:30.882158 : Epoch  9, Batch    206, Loss  0.541180, Average Loss  0.532092, Time  0.460095
2021-09-07 07:32:32.757852 : Epoch  9, Batch    207, Loss  0.508015, Average Loss  0.531940, Time  0.460853
2021-09-07 07:32:34.627112 : Epoch  9, Batch    208, Loss  0.523978, Average Loss  0.531917, Time  0.460859
2021-09-07 07:32:36.505942 : Epoch  9, Batch    209, Loss  0.521652, Average Loss  0.531844, Time  0.460060
2021-09-07 07:32:38.358992 : Epoch  9, Batch    210, Loss  0.538534, Average Loss  0.531903, Time  0.461733
2021-09-07 07:32:40.218070 : Epoch  9, Batch    211, Loss  0.543376, Average Loss  0.531967, Time  0.460258
2021-09-07 07:32:42.085533 : Epoch  9, Batch    212, Loss  0.546790, Average Loss  0.532040, Time  0.459613
2021-09-07 07:32:43.945003 : Epoch  9, Batch    213, Loss  0.532747, Average Loss  0.532107, Time  0.460323
2021-09-07 07:32:45.803348 : Epoch  9, Batch    214, Loss  0.529674, Average Loss  0.531998, Time  0.460395
2021-09-07 07:32:47.676018 : Epoch  9, Batch    215, Loss  0.523183, Average Loss  0.531997, Time  0.460316
2021-09-07 07:32:49.563320 : Epoch  9, Batch    216, Loss  0.529433, Average Loss  0.531951, Time  0.459973
2021-09-07 07:32:51.417313 : Epoch  9, Batch    217, Loss  0.536233, Average Loss  0.532028, Time  0.460646
2021-09-07 07:32:53.275016 : Epoch  9, Batch    218, Loss  0.533884, Average Loss  0.531944, Time  0.461696
2021-09-07 07:32:55.153104 : Epoch  9, Batch    219, Loss  0.525120, Average Loss  0.531957, Time  0.460140
2021-09-07 07:32:57.028777 : Epoch  9, Batch    220, Loss  0.531103, Average Loss  0.532003, Time  0.460155
2021-09-07 07:32:58.887666 : Epoch  9, Batch    221, Loss  0.533460, Average Loss  0.531981, Time  0.460681
2021-09-07 07:33:00.740551 : Epoch  9, Batch    222, Loss  0.525105, Average Loss  0.531950, Time  0.460093
2021-09-07 07:33:02.613659 : Epoch  9, Batch    223, Loss  0.532027, Average Loss  0.531919, Time  0.462809
2021-09-07 07:33:04.486022 : Epoch  9, Batch    224, Loss  0.539171, Average Loss  0.531909, Time  0.461288
2021-09-07 07:33:06.364357 : Epoch  9, Batch    225, Loss  0.538018, Average Loss  0.532010, Time  0.461019
2021-09-07 07:33:08.233744 : Epoch  9, Batch    226, Loss  0.536450, Average Loss  0.532066, Time  0.460632
2021-09-07 07:33:10.114638 : Epoch  9, Batch    227, Loss  0.532318, Average Loss  0.532056, Time  0.460784
2021-09-07 07:33:11.994428 : Epoch  9, Batch    228, Loss  0.539138, Average Loss  0.532106, Time  0.460988
2021-09-07 07:33:13.864757 : Epoch  9, Batch    229, Loss  0.537362, Average Loss  0.532163, Time  0.460607
2021-09-07 07:33:15.733414 : Epoch  9, Batch    230, Loss  0.530658, Average Loss  0.532161, Time  0.460194
2021-09-07 07:33:17.585420 : Epoch  9, Batch    231, Loss  0.531686, Average Loss  0.532109, Time  0.461721
2021-09-07 07:33:19.442836 : Epoch  9, Batch    232, Loss  0.532845, Average Loss  0.532136, Time  0.463294
2021-09-07 07:33:21.323341 : Epoch  9, Batch    233, Loss  0.525514, Average Loss  0.532115, Time  0.462067
2021-09-07 07:33:23.200765 : Epoch  9, Batch    234, Loss  0.526838, Average Loss  0.532040, Time  0.461173
2021-09-07 07:33:25.073575 : Epoch  9, Batch    235, Loss  0.537466, Average Loss  0.532120, Time  0.461939
2021-09-07 07:33:26.933791 : Epoch  9, Batch    236, Loss  0.533298, Average Loss  0.532067, Time  0.462376
2021-09-07 07:33:28.790837 : Epoch  9, Batch    237, Loss  0.510414, Average Loss  0.531917, Time  0.459869
2021-09-07 07:33:30.655916 : Epoch  9, Batch    238, Loss  0.513008, Average Loss  0.531804, Time  0.461087
2021-09-07 07:33:32.537276 : Epoch  9, Batch    239, Loss  0.535298, Average Loss  0.531847, Time  0.460251
2021-09-07 07:33:34.400356 : Epoch  9, Batch    240, Loss  0.547161, Average Loss  0.531918, Time  0.460604
2021-09-07 07:33:36.251999 : Epoch  9, Batch    241, Loss  0.526471, Average Loss  0.531886, Time  0.460265
2021-09-07 07:33:38.117149 : Epoch  9, Batch    242, Loss  0.524686, Average Loss  0.531782, Time  0.460673
2021-09-07 07:33:39.986164 : Epoch  9, Batch    243, Loss  0.534751, Average Loss  0.531779, Time  0.462092
2021-09-07 07:33:41.851574 : Epoch  9, Batch    244, Loss  0.529754, Average Loss  0.531727, Time  0.460497
2021-09-07 07:33:43.719344 : Epoch  9, Batch    245, Loss  0.529404, Average Loss  0.531750, Time  0.460195
2021-09-07 07:33:45.580110 : Epoch  9, Batch    246, Loss  0.529470, Average Loss  0.531706, Time  0.460212
2021-09-07 07:33:47.450996 : Epoch  9, Batch    247, Loss  0.549904, Average Loss  0.531820, Time  0.460443
2021-09-07 07:33:49.324339 : Epoch  9, Batch    248, Loss  0.534189, Average Loss  0.531800, Time  0.461278
2021-09-07 07:33:51.180418 : Epoch  9, Batch    249, Loss  0.531043, Average Loss  0.531821, Time  0.459869
2021-09-07 07:33:53.057667 : Epoch  9, Batch    250, Loss  0.529861, Average Loss  0.531776, Time  0.461017
2021-09-07 07:33:54.928129 : Epoch  9, Batch    251, Loss  0.528495, Average Loss  0.531737, Time  0.460361
2021-09-07 07:33:56.796148 : Epoch  9, Batch    252, Loss  0.529357, Average Loss  0.531701, Time  0.459992
2021-09-07 07:33:58.661518 : Epoch  9, Batch    253, Loss  0.525447, Average Loss  0.531682, Time  0.462068
2021-09-07 07:34:00.540003 : Epoch  9, Batch    254, Loss  0.521868, Average Loss  0.531629, Time  0.459781
2021-09-07 07:34:02.403091 : Epoch  9, Batch    255, Loss  0.540736, Average Loss  0.531622, Time  0.460163
2021-09-07 07:34:04.272121 : Epoch  9, Batch    256, Loss  0.540006, Average Loss  0.531616, Time  0.460383
2021-09-07 07:34:06.136040 : Epoch  9, Batch    257, Loss  0.519046, Average Loss  0.531584, Time  0.460268
2021-09-07 07:34:08.009993 : Epoch  9, Batch    258, Loss  0.543191, Average Loss  0.531641, Time  0.460961
2021-09-07 07:34:09.878320 : Epoch  9, Batch    259, Loss  0.543749, Average Loss  0.531756, Time  0.459779
2021-09-07 07:34:11.731348 : Epoch  9, Batch    260, Loss  0.544284, Average Loss  0.531835, Time  0.460979
2021-09-07 07:34:13.587713 : Epoch  9, Batch    261, Loss  0.533271, Average Loss  0.531869, Time  0.460139
2021-09-07 07:34:15.442274 : Epoch  9, Batch    262, Loss  0.519782, Average Loss  0.531819, Time  0.459853
2021-09-07 07:34:17.296755 : Epoch  9, Batch    263, Loss  0.529054, Average Loss  0.531762, Time  0.460433
2021-09-07 07:34:19.172020 : Epoch  9, Batch    264, Loss  0.536791, Average Loss  0.531837, Time  0.460681
2021-09-07 07:34:21.033425 : Epoch  9, Batch    265, Loss  0.514251, Average Loss  0.531695, Time  0.459846
2021-09-07 07:34:22.906860 : Epoch  9, Batch    266, Loss  0.530633, Average Loss  0.531664, Time  0.460582
2021-09-07 07:34:24.769402 : Epoch  9, Batch    267, Loss  0.532027, Average Loss  0.531685, Time  0.461592
2021-09-07 07:34:26.648340 : Epoch  9, Batch    268, Loss  0.524051, Average Loss  0.531596, Time  0.460864
2021-09-07 07:34:28.507375 : Epoch  9, Batch    269, Loss  0.529350, Average Loss  0.531602, Time  0.460296
2021-09-07 07:34:30.381831 : Epoch  9, Batch    270, Loss  0.519450, Average Loss  0.531531, Time  0.459992
2021-09-07 07:34:32.240531 : Epoch  9, Batch    271, Loss  0.543650, Average Loss  0.531505, Time  0.460335
2021-09-07 07:34:34.116241 : Epoch  9, Batch    272, Loss  0.532941, Average Loss  0.531500, Time  0.461977
2021-09-07 07:34:35.968374 : Epoch  9, Batch    273, Loss  0.547953, Average Loss  0.531551, Time  0.460056
2021-09-07 07:34:37.829799 : Epoch  9, Batch    274, Loss  0.546559, Average Loss  0.531638, Time  0.461015
2021-09-07 07:34:41.782155 : Epoch  9, Batch    275, Loss  0.533492, Average Loss  0.531745, Time  0.472494
2021-09-07 07:34:43.665844 : Epoch  9, Batch    276, Loss  0.516232, Average Loss  0.531684, Time  0.460984
2021-09-07 07:34:45.542290 : Epoch  9, Batch    277, Loss  0.524009, Average Loss  0.531602, Time  0.461126
2021-09-07 07:34:47.412466 : Epoch  9, Batch    278, Loss  0.526489, Average Loss  0.531613, Time  0.459844
2021-09-07 07:34:49.274567 : Epoch  9, Batch    279, Loss  0.530755, Average Loss  0.531653, Time  0.460563
2021-09-07 07:34:51.142690 : Epoch  9, Batch    280, Loss  0.534066, Average Loss  0.531620, Time  0.463279
2021-09-07 07:34:53.016413 : Epoch  9, Batch    281, Loss  0.530487, Average Loss  0.531627, Time  0.459781
2021-09-07 07:34:54.886054 : Epoch  9, Batch    282, Loss  0.530362, Average Loss  0.531641, Time  0.460136
2021-09-07 07:34:56.751283 : Epoch  9, Batch    283, Loss  0.531382, Average Loss  0.531610, Time  0.460150
2021-09-07 07:34:58.615410 : Epoch  9, Batch    284, Loss  0.533740, Average Loss  0.531619, Time  0.460391
2021-09-07 07:35:00.482975 : Epoch  9, Batch    285, Loss  0.536834, Average Loss  0.531599, Time  0.461050
2021-09-07 07:35:02.361839 : Epoch  9, Batch    286, Loss  0.533132, Average Loss  0.531613, Time  0.461332
2021-09-07 07:35:04.221824 : Epoch  9, Batch    287, Loss  0.519044, Average Loss  0.531525, Time  0.459683
2021-09-07 07:35:06.084994 : Epoch  9, Batch    288, Loss  0.531356, Average Loss  0.531507, Time  0.460857
2021-09-07 07:35:07.955801 : Epoch  9, Batch    289, Loss  0.536425, Average Loss  0.531534, Time  0.460286
2021-09-07 07:35:09.834839 : Epoch  9, Batch    290, Loss  0.539694, Average Loss  0.531526, Time  0.460539
2021-09-07 07:35:11.710197 : Epoch  9, Batch    291, Loss  0.534999, Average Loss  0.531503, Time  0.460134
2021-09-07 07:35:13.579754 : Epoch  9, Batch    292, Loss  0.540298, Average Loss  0.531569, Time  0.459854
2021-09-07 07:35:15.442576 : Epoch  9, Batch    293, Loss  0.531606, Average Loss  0.531607, Time  0.460455
2021-09-07 07:35:17.319807 : Epoch  9, Batch    294, Loss  0.549417, Average Loss  0.531712, Time  0.460115
2021-09-07 07:35:19.216689 : Epoch  9, Batch    295, Loss  0.532885, Average Loss  0.531751, Time  0.460707
2021-09-07 07:35:21.092134 : Epoch  9, Batch    296, Loss  0.531570, Average Loss  0.531716, Time  0.459778
2021-09-07 07:35:22.955688 : Epoch  9, Batch    297, Loss  0.541868, Average Loss  0.531760, Time  0.462958
2021-09-07 07:35:24.833627 : Epoch  9, Batch    298, Loss  0.527079, Average Loss  0.531741, Time  0.461024
2021-09-07 07:35:26.707115 : Epoch  9, Batch    299, Loss  0.519377, Average Loss  0.531721, Time  0.459750
2021-09-07 07:35:28.591135 : Epoch  9, Batch    300, Loss  0.533208, Average Loss  0.531668, Time  0.462670
2021-09-07 07:35:30.454341 : Epoch  9, Batch    301, Loss  0.526634, Average Loss  0.531673, Time  0.460144
2021-09-07 07:35:32.329167 : Epoch  9, Batch    302, Loss  0.538820, Average Loss  0.531709, Time  0.459985
2021-09-07 07:35:34.196690 : Epoch  9, Batch    303, Loss  0.532540, Average Loss  0.531598, Time  0.460326
2021-09-07 07:35:36.055468 : Epoch  9, Batch    304, Loss  0.520306, Average Loss  0.531604, Time  0.460147
2021-09-07 07:36:39.933260 : CheckPoint: Validation Loss  0.00022192, Best Loss  0.00021135
2021-09-07 07:36:41.841452 : Epoch  9, Batch    305, Loss  0.536253, Average Loss  0.531633, Time  0.461934
2021-09-07 07:36:43.702045 : Epoch  9, Batch    306, Loss  0.529094, Average Loss  0.531628, Time  0.459535
2021-09-07 07:36:45.578119 : Epoch  9, Batch    307, Loss  0.542393, Average Loss  0.531607, Time  0.460419
2021-09-07 07:36:47.467423 : Epoch  9, Batch    308, Loss  0.535080, Average Loss  0.531576, Time  0.461555
2021-09-07 07:36:49.353793 : Epoch  9, Batch    309, Loss  0.524342, Average Loss  0.531584, Time  0.460382
2021-09-07 07:36:51.240138 : Epoch  9, Batch    310, Loss  0.527906, Average Loss  0.531504, Time  0.459986
2021-09-07 07:36:53.127428 : Epoch  9, Batch    311, Loss  0.529748, Average Loss  0.531547, Time  0.459790
2021-09-07 07:36:55.003440 : Epoch  9, Batch    312, Loss  0.529147, Average Loss  0.531490, Time  0.461338
2021-09-07 07:36:56.883200 : Epoch  9, Batch    313, Loss  0.505941, Average Loss  0.531347, Time  0.459744
2021-09-07 07:36:58.747747 : Epoch  9, Batch    314, Loss  0.527516, Average Loss  0.531342, Time  0.460375
2021-09-07 07:37:00.615698 : Epoch  9, Batch    315, Loss  0.531151, Average Loss  0.531329, Time  0.460114
2021-09-07 07:37:02.482452 : Epoch  9, Batch    316, Loss  0.542258, Average Loss  0.531364, Time  0.460804
2021-09-07 07:37:04.354661 : Epoch  9, Batch    317, Loss  0.540539, Average Loss  0.531422, Time  0.460559
2021-09-07 07:37:06.218827 : Epoch  9, Batch    318, Loss  0.533276, Average Loss  0.531406, Time  0.461128
2021-09-07 07:37:08.099168 : Epoch  9, Batch    319, Loss  0.539810, Average Loss  0.531358, Time  0.460790
2021-09-07 07:37:09.976114 : Epoch  9, Batch    320, Loss  0.529865, Average Loss  0.531382, Time  0.461579
2021-09-07 07:37:11.864391 : Epoch  9, Batch    321, Loss  0.544833, Average Loss  0.531458, Time  0.462176
2021-09-07 07:37:13.728792 : Epoch  9, Batch    322, Loss  0.533273, Average Loss  0.531508, Time  0.460479
2021-09-07 07:37:15.594503 : Epoch  9, Batch    323, Loss  0.528993, Average Loss  0.531518, Time  0.460674
2021-09-07 07:37:17.478488 : Epoch  9, Batch    324, Loss  0.532358, Average Loss  0.531490, Time  0.462835
2021-09-07 07:37:19.365021 : Epoch  9, Batch    325, Loss  0.532193, Average Loss  0.531514, Time  0.460404
2021-09-07 07:37:21.230313 : Epoch  9, Batch    326, Loss  0.529980, Average Loss  0.531497, Time  0.460004
2021-09-07 07:37:23.097818 : Epoch  9, Batch    327, Loss  0.529483, Average Loss  0.531479, Time  0.460130
2021-09-07 07:37:24.978336 : Epoch  9, Batch    328, Loss  0.534375, Average Loss  0.531375, Time  0.460607
2021-09-07 07:37:26.844743 : Epoch  9, Batch    329, Loss  0.540772, Average Loss  0.531446, Time  0.460159
2021-09-07 07:37:28.703831 : Epoch  9, Batch    330, Loss  0.536968, Average Loss  0.531530, Time  0.460273
2021-09-07 07:37:30.593339 : Epoch  9, Batch    331, Loss  0.540945, Average Loss  0.531626, Time  0.462822
2021-09-07 07:37:32.502745 : Epoch  9, Batch    332, Loss  0.527840, Average Loss  0.531605, Time  0.461543
2021-09-07 07:37:34.375367 : Epoch  9, Batch    333, Loss  0.532466, Average Loss  0.531592, Time  0.460176
2021-09-07 07:37:36.256887 : Epoch  9, Batch    334, Loss  0.532932, Average Loss  0.531501, Time  0.460345
2021-09-07 07:37:38.167701 : Epoch  9, Batch    335, Loss  0.529088, Average Loss  0.531431, Time  0.461509
2021-09-07 07:37:40.027854 : Epoch  9, Batch    336, Loss  0.528023, Average Loss  0.531439, Time  0.460392
2021-09-07 07:37:41.893902 : Epoch  9, Batch    337, Loss  0.521971, Average Loss  0.531372, Time  0.460243
2021-09-07 07:37:43.759134 : Epoch  9, Batch    338, Loss  0.539636, Average Loss  0.531358, Time  0.459948
2021-09-07 07:37:45.654378 : Epoch  9, Batch    339, Loss  0.520676, Average Loss  0.531247, Time  0.460984
2021-09-07 07:37:47.549201 : Epoch  9, Batch    340, Loss  0.533590, Average Loss  0.531235, Time  0.459852
2021-09-07 07:37:49.418548 : Epoch  9, Batch    341, Loss  0.505216, Average Loss  0.531080, Time  0.461273
2021-09-07 07:37:51.292869 : Epoch  9, Batch    342, Loss  0.529111, Average Loss  0.530987, Time  0.461331
2021-09-07 07:37:53.171057 : Epoch  9, Batch    343, Loss  0.536882, Average Loss  0.531051, Time  0.459689
2021-09-07 07:37:55.041132 : Epoch  9, Batch    344, Loss  0.537800, Average Loss  0.531034, Time  0.460130
2021-09-07 07:37:56.913568 : Epoch  9, Batch    345, Loss  0.520668, Average Loss  0.530978, Time  0.460545
2021-09-07 07:37:58.778744 : Epoch  9, Batch    346, Loss  0.528260, Average Loss  0.530919, Time  0.460272
2021-09-07 07:38:00.644534 : Epoch  9, Batch    347, Loss  0.534607, Average Loss  0.530917, Time  0.459956
2021-09-07 07:38:02.506984 : Epoch  9, Batch    348, Loss  0.530813, Average Loss  0.530940, Time  0.460405
2021-09-07 07:38:04.366997 : Epoch  9, Batch    349, Loss  0.531033, Average Loss  0.530944, Time  0.461294
2021-09-07 07:38:06.237685 : Epoch  9, Batch    350, Loss  0.535971, Average Loss  0.531043, Time  0.459717
2021-09-07 07:38:08.111396 : Epoch  9, Batch    351, Loss  0.512629, Average Loss  0.530932, Time  0.460478
2021-09-07 07:38:08.308068 : Epoch  9, Batch    352, Loss  0.557790, Average Loss  0.531121, Time  0.156914
2021-09-07 07:38:10.169458 : Epoch  9, Batch    353, Loss  0.538776, Average Loss  0.531217, Time  0.460694
2021-09-07 07:38:12.032378 : Epoch  9, Batch    354, Loss  0.529538, Average Loss  0.531181, Time  0.460265
2021-09-07 07:38:13.888045 : Epoch  9, Batch    355, Loss  0.535654, Average Loss  0.531175, Time  0.460222
2021-09-07 07:38:15.761195 : Epoch  9, Batch    356, Loss  0.543254, Average Loss  0.531264, Time  0.459408
2021-09-07 07:38:17.618316 : Epoch  9, Batch    357, Loss  0.550285, Average Loss  0.531320, Time  0.460032
2021-09-07 07:38:19.495005 : Epoch  9, Batch    358, Loss  0.549944, Average Loss  0.531477, Time  0.459685
2021-09-07 07:38:21.365841 : Epoch  9, Batch    359, Loss  0.531966, Average Loss  0.531440, Time  0.461252
2021-09-07 07:38:23.230420 : Epoch  9, Batch    360, Loss  0.538843, Average Loss  0.531466, Time  0.461393
2021-09-07 07:38:25.097257 : Epoch  9, Batch    361, Loss  0.544671, Average Loss  0.531559, Time  0.460997
2021-09-07 07:38:26.968430 : Epoch  9, Batch    362, Loss  0.529606, Average Loss  0.531550, Time  0.460334
2021-09-07 07:38:28.826763 : Epoch  9, Batch    363, Loss  0.536558, Average Loss  0.531605, Time  0.460617
2021-09-07 07:38:30.700206 : Epoch  9, Batch    364, Loss  0.532738, Average Loss  0.531669, Time  0.461561
2021-09-07 07:38:32.574447 : Epoch  9, Batch    365, Loss  0.525480, Average Loss  0.531701, Time  0.459745
2021-09-07 07:38:34.441627 : Epoch  9, Batch    366, Loss  0.541241, Average Loss  0.531688, Time  0.460482
2021-09-07 07:38:36.306645 : Epoch  9, Batch    367, Loss  0.542939, Average Loss  0.531673, Time  0.461864
2021-09-07 07:38:38.177064 : Epoch  9, Batch    368, Loss  0.535650, Average Loss  0.531719, Time  0.459750
2021-09-07 07:38:40.045802 : Epoch  9, Batch    369, Loss  0.527355, Average Loss  0.531701, Time  0.461045
2021-09-07 07:38:41.917774 : Epoch  9, Batch    370, Loss  0.525579, Average Loss  0.531659, Time  0.461012
2021-09-07 07:38:43.790707 : Epoch  9, Batch    371, Loss  0.526326, Average Loss  0.531672, Time  0.460002
2021-09-07 07:38:45.663201 : Epoch  9, Batch    372, Loss  0.543117, Average Loss  0.531741, Time  0.461177
2021-09-07 07:38:47.530541 : Epoch  9, Batch    373, Loss  0.547657, Average Loss  0.531797, Time  0.460110
2021-09-07 07:38:49.405903 : Epoch  9, Batch    374, Loss  0.542217, Average Loss  0.531904, Time  0.460639
2021-09-07 07:38:51.288952 : Epoch  9, Batch    375, Loss  0.534558, Average Loss  0.531954, Time  0.460956
2021-09-07 07:38:55.191393 : Epoch  9, Batch    376, Loss  0.534568, Average Loss  0.532028, Time  0.466539
2021-09-07 07:38:57.060973 : Epoch  9, Batch    377, Loss  0.529724, Average Loss  0.532094, Time  0.460351
2021-09-07 07:38:58.922004 : Epoch  9, Batch    378, Loss  0.512354, Average Loss  0.532038, Time  0.461048
2021-09-07 07:39:00.796195 : Epoch  9, Batch    379, Loss  0.531509, Average Loss  0.532124, Time  0.461690
2021-09-07 07:39:02.663321 : Epoch  9, Batch    380, Loss  0.537837, Average Loss  0.532228, Time  0.461463
2021-09-07 07:39:04.545065 : Epoch  9, Batch    381, Loss  0.534525, Average Loss  0.532187, Time  0.460931
2021-09-07 07:39:06.416446 : Epoch  9, Batch    382, Loss  0.543945, Average Loss  0.532253, Time  0.460852
2021-09-07 07:39:08.270610 : Epoch  9, Batch    383, Loss  0.517890, Average Loss  0.532159, Time  0.459959
2021-09-07 07:39:10.140722 : Epoch  9, Batch    384, Loss  0.525337, Average Loss  0.532195, Time  0.460949
2021-09-07 07:39:12.018832 : Epoch  9, Batch    385, Loss  0.535552, Average Loss  0.532218, Time  0.460869
2021-09-07 07:39:13.895085 : Epoch  9, Batch    386, Loss  0.538131, Average Loss  0.532219, Time  0.460901
2021-09-07 07:39:15.759217 : Epoch  9, Batch    387, Loss  0.532190, Average Loss  0.532240, Time  0.460644
2021-09-07 07:39:17.615064 : Epoch  9, Batch    388, Loss  0.540593, Average Loss  0.532289, Time  0.460291
2021-09-07 07:39:19.489024 : Epoch  9, Batch    389, Loss  0.523224, Average Loss  0.532210, Time  0.461049
2021-09-07 07:39:21.368705 : Epoch  9, Batch    390, Loss  0.533043, Average Loss  0.532222, Time  0.460370
2021-09-07 07:39:23.236840 : Epoch  9, Batch    391, Loss  0.542688, Average Loss  0.532224, Time  0.459898
2021-09-07 07:39:25.095405 : Epoch  9, Batch    392, Loss  0.524623, Average Loss  0.532183, Time  0.461006
2021-09-07 07:39:26.994339 : Epoch  9, Batch    393, Loss  0.531659, Average Loss  0.532084, Time  0.461662
2021-09-07 07:39:28.884895 : Epoch  9, Batch    394, Loss  0.543615, Average Loss  0.532145, Time  0.459993
2021-09-07 07:39:30.749930 : Epoch  9, Batch    395, Loss  0.543972, Average Loss  0.532297, Time  0.460399
2021-09-07 07:39:32.616229 : Epoch  9, Batch    396, Loss  0.526945, Average Loss  0.532308, Time  0.461413
2021-09-07 07:39:34.497443 : Epoch  9, Batch    397, Loss  0.541304, Average Loss  0.532375, Time  0.462459
2021-09-07 07:39:36.384047 : Epoch  9, Batch    398, Loss  0.536087, Average Loss  0.532417, Time  0.460667
2021-09-07 07:39:38.265002 : Epoch  9, Batch    399, Loss  0.541030, Average Loss  0.532525, Time  0.461086
2021-09-07 07:39:40.142375 : Epoch  9, Batch    400, Loss  0.526613, Average Loss  0.532499, Time  0.461836
2021-09-07 07:39:42.004597 : Epoch  9, Batch    401, Loss  0.524384, Average Loss  0.532437, Time  0.460589
2021-09-07 07:39:43.897381 : Epoch  9, Batch    402, Loss  0.525069, Average Loss  0.532403, Time  0.461306
2021-09-07 07:39:45.768886 : Epoch  9, Batch    403, Loss  0.522540, Average Loss  0.532377, Time  0.462154
2021-09-07 07:39:47.632942 : Epoch  9, Batch    404, Loss  0.541272, Average Loss  0.532465, Time  0.459794
2021-09-07 07:40:51.392499 : CheckPoint: Validation Loss  0.00022971, Best Loss  0.00021135
2021-09-07 07:40:53.276554 : Epoch  9, Batch    405, Loss  0.538097, Average Loss  0.532477, Time  0.460061
2021-09-07 07:40:55.167312 : Epoch  9, Batch    406, Loss  0.543199, Average Loss  0.532488, Time  0.459765
2021-09-07 07:40:57.037163 : Epoch  9, Batch    407, Loss  0.545790, Average Loss  0.532676, Time  0.460099
2021-09-07 07:40:58.905632 : Epoch  9, Batch    408, Loss  0.526599, Average Loss  0.532690, Time  0.460600
2021-09-07 07:41:00.769125 : Epoch  9, Batch    409, Loss  0.537080, Average Loss  0.532767, Time  0.462633
2021-09-07 07:41:02.638975 : Epoch  9, Batch    410, Loss  0.530091, Average Loss  0.532724, Time  0.460301
2021-09-07 07:41:04.523002 : Epoch  9, Batch    411, Loss  0.517154, Average Loss  0.532593, Time  0.461857
2021-09-07 07:41:06.407337 : Epoch  9, Batch    412, Loss  0.522381, Average Loss  0.532471, Time  0.460455
2021-09-07 07:41:08.271047 : Epoch  9, Batch    413, Loss  0.532706, Average Loss  0.532471, Time  0.460030
2021-09-07 07:41:10.136831 : Epoch  9, Batch    414, Loss  0.512180, Average Loss  0.532384, Time  0.460643
2021-09-07 07:41:12.004652 : Epoch  9, Batch    415, Loss  0.536391, Average Loss  0.532450, Time  0.460590
2021-09-07 07:41:13.876201 : Epoch  9, Batch    416, Loss  0.538664, Average Loss  0.532496, Time  0.460715
2021-09-07 07:41:15.750759 : Epoch  9, Batch    417, Loss  0.524140, Average Loss  0.532435, Time  0.460327
2021-09-07 07:41:17.607579 : Epoch  9, Batch    418, Loss  0.516735, Average Loss  0.532350, Time  0.459902
2021-09-07 07:41:19.474169 : Epoch  9, Batch    419, Loss  0.531370, Average Loss  0.532381, Time  0.461325
2021-09-07 07:41:21.336994 : Epoch  9, Batch    420, Loss  0.540673, Average Loss  0.532429, Time  0.459754
2021-09-07 07:41:23.205454 : Epoch  9, Batch    421, Loss  0.530532, Average Loss  0.532414, Time  0.460081
2021-09-07 07:41:25.065661 : Epoch  9, Batch    422, Loss  0.528906, Average Loss  0.532433, Time  0.459981
2021-09-07 07:41:26.923768 : Epoch  9, Batch    423, Loss  0.525120, Average Loss  0.532399, Time  0.459943
2021-09-07 07:41:28.784360 : Epoch  9, Batch    424, Loss  0.537336, Average Loss  0.532389, Time  0.460352
2021-09-07 07:41:30.646129 : Epoch  9, Batch    425, Loss  0.541956, Average Loss  0.532409, Time  0.460031
2021-09-07 07:41:32.531803 : Epoch  9, Batch    426, Loss  0.544110, Average Loss  0.532447, Time  0.461174
2021-09-07 07:41:34.392950 : Epoch  9, Batch    427, Loss  0.525495, Average Loss  0.532413, Time  0.459943
2021-09-07 07:41:36.250979 : Epoch  9, Batch    428, Loss  0.523014, Average Loss  0.532333, Time  0.460490
2021-09-07 07:41:38.114632 : Epoch  9, Batch    429, Loss  0.525606, Average Loss  0.532274, Time  0.460219
2021-09-07 07:41:39.990266 : Epoch  9, Batch    430, Loss  0.526066, Average Loss  0.532251, Time  0.460822
2021-09-07 07:41:41.871055 : Epoch  9, Batch    431, Loss  0.528207, Average Loss  0.532233, Time  0.460756
2021-09-07 07:41:43.735414 : Epoch  9, Batch    432, Loss  0.524120, Average Loss  0.532190, Time  0.460534
2021-09-07 07:41:45.609994 : Epoch  9, Batch    433, Loss  0.549168, Average Loss  0.532308, Time  0.460758
2021-09-07 07:41:47.483201 : Epoch  9, Batch    434, Loss  0.531063, Average Loss  0.532329, Time  0.460659
2021-09-07 07:41:49.363205 : Epoch  9, Batch    435, Loss  0.531105, Average Loss  0.532297, Time  0.460900
2021-09-07 07:41:51.230069 : Epoch  9, Batch    436, Loss  0.528582, Average Loss  0.532274, Time  0.460068
2021-09-07 07:41:53.131195 : Epoch  9, Batch    437, Loss  0.517352, Average Loss  0.532309, Time  0.461139
2021-09-07 07:41:55.000684 : Epoch  9, Batch    438, Loss  0.541630, Average Loss  0.532452, Time  0.463126
2021-09-07 07:41:56.877916 : Epoch  9, Batch    439, Loss  0.536621, Average Loss  0.532458, Time  0.460680
2021-09-07 07:41:58.755143 : Epoch  9, Batch    440, Loss  0.527141, Average Loss  0.532358, Time  0.459861
2021-09-07 07:42:00.611782 : Epoch  9, Batch    441, Loss  0.533247, Average Loss  0.532392, Time  0.460443
2021-09-07 07:42:02.479141 : Epoch  9, Batch    442, Loss  0.521892, Average Loss  0.532378, Time  0.459841
2021-09-07 07:42:04.344081 : Epoch  9, Batch    443, Loss  0.519351, Average Loss  0.532301, Time  0.460589
2021-09-07 07:42:06.225767 : Epoch  9, Batch    444, Loss  0.542466, Average Loss  0.532365, Time  0.460511
2021-09-07 07:42:08.091221 : Epoch  9, Batch    445, Loss  0.530842, Average Loss  0.532372, Time  0.459949
2021-09-07 07:42:09.959577 : Epoch  9, Batch    446, Loss  0.529725, Average Loss  0.532373, Time  0.461458
2021-09-07 07:42:11.845046 : Epoch  9, Batch    447, Loss  0.523788, Average Loss  0.532243, Time  0.460944
2021-09-07 07:42:13.728578 : Epoch  9, Batch    448, Loss  0.519069, Average Loss  0.532167, Time  0.462309
2021-09-07 07:42:15.616708 : Epoch  9, Batch    449, Loss  0.528047, Average Loss  0.532152, Time  0.460273
2021-09-07 07:42:17.508443 : Epoch  9, Batch    450, Loss  0.531793, Average Loss  0.532162, Time  0.462102
2021-09-07 07:42:19.402964 : Epoch  9, Batch    451, Loss  0.544362, Average Loss  0.532241, Time  0.460839
2021-09-07 07:42:21.282898 : Epoch  9, Batch    452, Loss  0.518623, Average Loss  0.532187, Time  0.460795
2021-09-07 07:42:23.172616 : Epoch  9, Batch    453, Loss  0.543485, Average Loss  0.532277, Time  0.461001
2021-09-07 07:42:25.037397 : Epoch  9, Batch    454, Loss  0.526467, Average Loss  0.532300, Time  0.460440
2021-09-07 07:42:26.908233 : Epoch  9, Batch    455, Loss  0.526183, Average Loss  0.532228, Time  0.461498
2021-09-07 07:42:28.797179 : Epoch  9, Batch    456, Loss  0.523372, Average Loss  0.532145, Time  0.460852
2021-09-07 07:42:30.666120 : Epoch  9, Batch    457, Loss  0.532471, Average Loss  0.532212, Time  0.461258
2021-09-07 07:42:32.548536 : Epoch  9, Batch    458, Loss  0.531007, Average Loss  0.532151, Time  0.461116
2021-09-07 07:42:34.434445 : Epoch  9, Batch    459, Loss  0.534718, Average Loss  0.532106, Time  0.461443
2021-09-07 07:42:36.298166 : Epoch  9, Batch    460, Loss  0.516490, Average Loss  0.531967, Time  0.461692
2021-09-07 07:42:38.164131 : Epoch  9, Batch    461, Loss  0.535305, Average Loss  0.531977, Time  0.459913
2021-09-07 07:42:40.018532 : Epoch  9, Batch    462, Loss  0.519311, Average Loss  0.531974, Time  0.460500
2021-09-07 07:42:41.889049 : Epoch  9, Batch    463, Loss  0.535425, Average Loss  0.532006, Time  0.460486
2021-09-07 07:42:43.764764 : Epoch  9, Batch    464, Loss  0.541088, Average Loss  0.532028, Time  0.461236
2021-09-07 07:42:45.647263 : Epoch  9, Batch    465, Loss  0.536310, Average Loss  0.532138, Time  0.461165
2021-09-07 07:42:47.548760 : Epoch  9, Batch    466, Loss  0.535721, Average Loss  0.532163, Time  0.460867
2021-09-07 07:42:49.423364 : Epoch  9, Batch    467, Loss  0.528327, Average Loss  0.532145, Time  0.461315
2021-09-07 07:42:51.285726 : Epoch  9, Batch    468, Loss  0.532229, Average Loss  0.532186, Time  0.460377
2021-09-07 07:42:53.168466 : Epoch  9, Batch    469, Loss  0.544552, Average Loss  0.532262, Time  0.461165
2021-09-07 07:42:55.054701 : Epoch  9, Batch    470, Loss  0.530955, Average Loss  0.532319, Time  0.460490
2021-09-07 07:42:56.927434 : Epoch  9, Batch    471, Loss  0.534682, Average Loss  0.532275, Time  0.461033
2021-09-07 07:42:58.816315 : Epoch  9, Batch    472, Loss  0.541606, Average Loss  0.532318, Time  0.461616
2021-09-07 07:43:00.684433 : Epoch  9, Batch    473, Loss  0.533926, Average Loss  0.532248, Time  0.461233
2021-09-07 07:43:02.552951 : Epoch  9, Batch    474, Loss  0.536906, Average Loss  0.532199, Time  0.460050
2021-09-07 07:43:06.507259 : Epoch  9, Batch    475, Loss  0.535556, Average Loss  0.532210, Time  0.468947
2021-09-07 07:43:08.378781 : Epoch  9, Batch    476, Loss  0.519442, Average Loss  0.532226, Time  0.460815
2021-09-07 07:43:10.250065 : Epoch  9, Batch    477, Loss  0.540592, Average Loss  0.532309, Time  0.460941
2021-09-07 07:43:12.127941 : Epoch  9, Batch    478, Loss  0.517798, Average Loss  0.532265, Time  0.460405
2021-09-07 07:43:13.992327 : Epoch  9, Batch    479, Loss  0.536421, Average Loss  0.532294, Time  0.460869
2021-09-07 07:43:15.859019 : Epoch  9, Batch    480, Loss  0.535912, Average Loss  0.532303, Time  0.460254
2021-09-07 07:43:17.734269 : Epoch  9, Batch    481, Loss  0.531716, Average Loss  0.532309, Time  0.460918
2021-09-07 07:43:19.611056 : Epoch  9, Batch    482, Loss  0.527853, Average Loss  0.532296, Time  0.460750
2021-09-07 07:43:21.481149 : Epoch  9, Batch    483, Loss  0.533029, Average Loss  0.532305, Time  0.460105
2021-09-07 07:43:23.339118 : Epoch  9, Batch    484, Loss  0.532365, Average Loss  0.532298, Time  0.460249
2021-09-07 07:43:25.204287 : Epoch  9, Batch    485, Loss  0.530584, Average Loss  0.532267, Time  0.460482
2021-09-07 07:43:27.073100 : Epoch  9, Batch    486, Loss  0.523874, Average Loss  0.532220, Time  0.461461
2021-09-07 07:43:28.956201 : Epoch  9, Batch    487, Loss  0.530600, Average Loss  0.532278, Time  0.460685
2021-09-07 07:43:30.828434 : Epoch  9, Batch    488, Loss  0.531890, Average Loss  0.532281, Time  0.460595
2021-09-07 07:43:32.695970 : Epoch  9, Batch    489, Loss  0.545432, Average Loss  0.532326, Time  0.460289
2021-09-07 07:43:34.549228 : Epoch  9, Batch    490, Loss  0.527531, Average Loss  0.532265, Time  0.459485
2021-09-07 07:43:36.432063 : Epoch  9, Batch    491, Loss  0.532404, Average Loss  0.532252, Time  0.460113
2021-09-07 07:43:38.307823 : Epoch  9, Batch    492, Loss  0.522647, Average Loss  0.532164, Time  0.460696
2021-09-07 07:43:40.183637 : Epoch  9, Batch    493, Loss  0.520505, Average Loss  0.532108, Time  0.461068
2021-09-07 07:43:42.045535 : Epoch  9, Batch    494, Loss  0.532938, Average Loss  0.532026, Time  0.459874
2021-09-07 07:43:43.911668 : Epoch  9, Batch    495, Loss  0.518599, Average Loss  0.531954, Time  0.460897
2021-09-07 07:43:45.774049 : Epoch  9, Batch    496, Loss  0.531607, Average Loss  0.531955, Time  0.461115
2021-09-07 07:43:47.644921 : Epoch  9, Batch    497, Loss  0.530422, Average Loss  0.531897, Time  0.461205
2021-09-07 07:43:49.512026 : Epoch  9, Batch    498, Loss  0.529218, Average Loss  0.531908, Time  0.461141
2021-09-07 07:43:51.368450 : Epoch  9, Batch    499, Loss  0.525187, Average Loss  0.531937, Time  0.460209
2021-09-07 07:43:53.226619 : Epoch  9, Batch    500, Loss  0.540466, Average Loss  0.531973, Time  0.460589
2021-09-07 07:43:55.092124 : Epoch  9, Batch    501, Loss  0.550927, Average Loss  0.532095, Time  0.462136
2021-09-07 07:43:56.950873 : Epoch  9, Batch    502, Loss  0.530091, Average Loss  0.532051, Time  0.460128
2021-09-07 07:43:58.829431 : Epoch  9, Batch    503, Loss  0.534454, Average Loss  0.532061, Time  0.462003
2021-09-07 07:44:00.683234 : Epoch  9, Batch    504, Loss  0.530345, Average Loss  0.532111, Time  0.459765
2021-09-07 07:45:04.411449 : CheckPoint: Validation Loss  0.00022707, Best Loss  0.00021135
2021-09-07 07:45:06.308021 : Epoch  9, Batch    505, Loss  0.521535, Average Loss  0.532037, Time  0.461592
2021-09-07 07:45:08.195375 : Epoch  9, Batch    506, Loss  0.527969, Average Loss  0.532032, Time  0.460593
2021-09-07 07:45:10.089265 : Epoch  9, Batch    507, Loss  0.513220, Average Loss  0.531886, Time  0.460550
2021-09-07 07:45:11.985780 : Epoch  9, Batch    508, Loss  0.532299, Average Loss  0.531872, Time  0.460499
2021-09-07 07:45:13.849941 : Epoch  9, Batch    509, Loss  0.536252, Average Loss  0.531932, Time  0.460676
2021-09-07 07:45:15.732304 : Epoch  9, Batch    510, Loss  0.535056, Average Loss  0.531967, Time  0.460826
2021-09-07 07:45:17.596800 : Epoch  9, Batch    511, Loss  0.524497, Average Loss  0.531941, Time  0.460450
2021-09-07 07:45:19.461953 : Epoch  9, Batch    512, Loss  0.541300, Average Loss  0.532002, Time  0.460415
2021-09-07 07:45:21.334220 : Epoch  9, Batch    513, Loss  0.535779, Average Loss  0.532151, Time  0.459996
2021-09-07 07:45:23.190039 : Epoch  9, Batch    514, Loss  0.533276, Average Loss  0.532180, Time  0.461277
2021-09-07 07:45:25.076988 : Epoch  9, Batch    515, Loss  0.524228, Average Loss  0.532145, Time  0.460783
2021-09-07 07:45:26.958894 : Epoch  9, Batch    516, Loss  0.522012, Average Loss  0.532044, Time  0.460868
2021-09-07 07:45:28.820474 : Epoch  9, Batch    517, Loss  0.532605, Average Loss  0.532004, Time  0.460172
2021-09-07 07:45:30.681152 : Epoch  9, Batch    518, Loss  0.531186, Average Loss  0.531994, Time  0.460666
2021-09-07 07:45:32.554909 : Epoch  9, Batch    519, Loss  0.532999, Average Loss  0.531960, Time  0.460975
2021-09-07 07:45:34.420954 : Epoch  9, Batch    520, Loss  0.535362, Average Loss  0.531987, Time  0.460221
2021-09-07 07:45:36.291509 : Epoch  9, Batch    521, Loss  0.537334, Average Loss  0.531950, Time  0.460152
2021-09-07 07:45:38.155841 : Epoch  9, Batch    522, Loss  0.547570, Average Loss  0.532021, Time  0.461077
2021-09-07 07:45:40.040455 : Epoch  9, Batch    523, Loss  0.526313, Average Loss  0.532008, Time  0.460280
2021-09-07 07:45:41.891425 : Epoch  9, Batch    524, Loss  0.521221, Average Loss  0.531952, Time  0.459957
2021-09-07 07:45:43.741856 : Epoch  9, Batch    525, Loss  0.524018, Average Loss  0.531911, Time  0.461184
2021-09-07 07:45:45.615657 : Epoch  9, Batch    526, Loss  0.517309, Average Loss  0.531848, Time  0.459814
2021-09-07 07:45:47.466954 : Epoch  9, Batch    527, Loss  0.534158, Average Loss  0.531871, Time  0.460696
2021-09-07 07:45:49.316975 : Epoch  9, Batch    528, Loss  0.549492, Average Loss  0.531947, Time  0.459927
2021-09-07 07:45:51.181287 : Epoch  9, Batch    529, Loss  0.540587, Average Loss  0.531946, Time  0.460807
2021-09-07 07:45:53.036255 : Epoch  9, Batch    530, Loss  0.543336, Average Loss  0.531978, Time  0.459263
2021-09-07 07:45:54.906099 : Epoch  9, Batch    531, Loss  0.525204, Average Loss  0.531899, Time  0.459835
2021-09-07 07:45:56.763144 : Epoch  9, Batch    532, Loss  0.534491, Average Loss  0.531932, Time  0.459894
2021-09-07 07:45:58.630067 : Epoch  9, Batch    533, Loss  0.534906, Average Loss  0.531945, Time  0.459973
2021-09-07 07:46:00.497758 : Epoch  9, Batch    534, Loss  0.515832, Average Loss  0.531859, Time  0.459601
2021-09-07 07:46:02.349662 : Epoch  9, Batch    535, Loss  0.543719, Average Loss  0.531932, Time  0.459173
2021-09-07 07:46:04.190893 : Epoch  9, Batch    536, Loss  0.518711, Average Loss  0.531886, Time  0.459384
2021-09-07 07:46:06.044879 : Epoch  9, Batch    537, Loss  0.530682, Average Loss  0.531929, Time  0.459467
2021-09-07 07:46:07.900449 : Epoch  9, Batch    538, Loss  0.532393, Average Loss  0.531893, Time  0.459491
2021-09-07 07:46:09.769739 : Epoch  9, Batch    539, Loss  0.519953, Average Loss  0.531889, Time  0.459243
2021-09-07 07:46:11.621077 : Epoch  9, Batch    540, Loss  0.520767, Average Loss  0.531825, Time  0.460387
2021-09-07 07:46:13.467095 : Epoch  9, Batch    541, Loss  0.529027, Average Loss  0.531944, Time  0.459799
2021-09-07 07:46:15.326194 : Epoch  9, Batch    542, Loss  0.522110, Average Loss  0.531909, Time  0.460311
2021-09-07 07:46:17.186519 : Epoch  9, Batch    543, Loss  0.527061, Average Loss  0.531860, Time  0.458929
2021-09-07 07:46:19.041549 : Epoch  9, Batch    544, Loss  0.519419, Average Loss  0.531768, Time  0.460498
2021-09-07 07:46:20.905758 : Epoch  9, Batch    545, Loss  0.546464, Average Loss  0.531897, Time  0.460856
2021-09-07 07:46:22.758012 : Epoch  9, Batch    546, Loss  0.524200, Average Loss  0.531877, Time  0.460248
2021-09-07 07:46:24.630338 : Epoch  9, Batch    547, Loss  0.529368, Average Loss  0.531851, Time  0.460322
2021-09-07 07:46:26.491944 : Epoch  9, Batch    548, Loss  0.524699, Average Loss  0.531820, Time  0.459899
2021-09-07 07:46:28.346298 : Epoch  9, Batch    549, Loss  0.536779, Average Loss  0.531849, Time  0.459531
2021-09-07 07:46:30.218452 : Epoch  9, Batch    550, Loss  0.527615, Average Loss  0.531807, Time  0.460143
2021-09-07 07:46:32.083687 : Epoch  9, Batch    551, Loss  0.531142, Average Loss  0.531900, Time  0.459133
2021-09-07 07:46:33.947036 : Epoch  9, Batch    552, Loss  0.538127, Average Loss  0.531801, Time  0.460274
2021-09-07 07:46:35.854435 : Epoch  9, Batch    553, Loss  0.529027, Average Loss  0.531753, Time  0.460435
2021-09-07 07:46:37.710760 : Epoch  9, Batch    554, Loss  0.536521, Average Loss  0.531788, Time  0.460217
2021-09-07 07:46:39.557322 : Epoch  9, Batch    555, Loss  0.542001, Average Loss  0.531819, Time  0.461063
2021-09-07 07:46:41.424977 : Epoch  9, Batch    556, Loss  0.534894, Average Loss  0.531778, Time  0.460443
2021-09-07 07:46:43.276042 : Epoch  9, Batch    557, Loss  0.533015, Average Loss  0.531691, Time  0.459631
2021-09-07 07:46:45.143249 : Epoch  9, Batch    558, Loss  0.556899, Average Loss  0.531726, Time  0.459688
2021-09-07 07:46:47.000560 : Epoch  9, Batch    559, Loss  0.533186, Average Loss  0.531732, Time  0.460687
2021-09-07 07:46:48.869687 : Epoch  9, Batch    560, Loss  0.539137, Average Loss  0.531734, Time  0.459757
2021-09-07 07:46:50.743211 : Epoch  9, Batch    561, Loss  0.526188, Average Loss  0.531641, Time  0.460688
2021-09-07 07:46:52.617540 : Epoch  9, Batch    562, Loss  0.521523, Average Loss  0.531601, Time  0.459993
2021-09-07 07:46:54.470932 : Epoch  9, Batch    563, Loss  0.533437, Average Loss  0.531585, Time  0.460147
2021-09-07 07:46:56.331089 : Epoch  9, Batch    564, Loss  0.539751, Average Loss  0.531620, Time  0.461485
2021-09-07 07:46:58.213009 : Epoch  9, Batch    565, Loss  0.531967, Average Loss  0.531653, Time  0.460292
2021-09-07 07:47:00.085885 : Epoch  9, Batch    566, Loss  0.530529, Average Loss  0.531599, Time  0.460276
2021-09-07 07:47:01.952668 : Epoch  9, Batch    567, Loss  0.541480, Average Loss  0.531592, Time  0.459621
2021-09-07 07:47:03.801447 : Epoch  9, Batch    568, Loss  0.524495, Average Loss  0.531536, Time  0.459025
2021-09-07 07:47:05.656613 : Epoch  9, Batch    569, Loss  0.529854, Average Loss  0.531548, Time  0.459419
2021-09-07 07:47:07.527190 : Epoch  9, Batch    570, Loss  0.522578, Average Loss  0.531533, Time  0.459758
2021-09-07 07:47:09.385914 : Epoch  9, Batch    571, Loss  0.536465, Average Loss  0.531584, Time  0.460034
2021-09-07 07:47:11.263132 : Epoch  9, Batch    572, Loss  0.535260, Average Loss  0.531545, Time  0.460877
2021-09-07 07:47:13.133196 : Epoch  9, Batch    573, Loss  0.539845, Average Loss  0.531506, Time  0.460091
2021-09-07 07:47:14.992798 : Epoch  9, Batch    574, Loss  0.517216, Average Loss  0.531381, Time  0.459201
2021-09-07 07:47:18.793117 : Epoch  9, Batch    575, Loss  0.524022, Average Loss  0.531328, Time  0.472751
2021-09-07 07:47:20.659108 : Epoch  9, Batch    576, Loss  0.530889, Average Loss  0.531310, Time  0.459886
2021-09-07 07:47:22.519105 : Epoch  9, Batch    577, Loss  0.543229, Average Loss  0.531377, Time  0.460670
2021-09-07 07:47:24.370110 : Epoch  9, Batch    578, Loss  0.532916, Average Loss  0.531480, Time  0.459443
2021-09-07 07:47:26.219666 : Epoch  9, Batch    579, Loss  0.529825, Average Loss  0.531472, Time  0.460705
2021-09-07 07:47:28.072009 : Epoch  9, Batch    580, Loss  0.532869, Average Loss  0.531447, Time  0.460820
2021-09-07 07:47:29.928540 : Epoch  9, Batch    581, Loss  0.538054, Average Loss  0.531464, Time  0.460100
2021-09-07 07:47:31.794836 : Epoch  9, Batch    582, Loss  0.522816, Average Loss  0.531359, Time  0.460795
2021-09-07 07:47:33.645205 : Epoch  9, Batch    583, Loss  0.524604, Average Loss  0.531392, Time  0.459960
2021-09-07 07:47:35.511691 : Epoch  9, Batch    584, Loss  0.530019, Average Loss  0.531416, Time  0.460296
2021-09-07 07:47:37.378397 : Epoch  9, Batch    585, Loss  0.524181, Average Loss  0.531359, Time  0.459973
2021-09-07 07:47:39.227212 : Epoch  9, Batch    586, Loss  0.537283, Average Loss  0.531355, Time  0.459363
2021-09-07 07:47:41.103693 : Epoch  9, Batch    587, Loss  0.548657, Average Loss  0.531437, Time  0.459367
2021-09-07 07:47:42.955294 : Epoch  9, Batch    588, Loss  0.535416, Average Loss  0.531411, Time  0.460439
2021-09-07 07:47:44.833149 : Epoch  9, Batch    589, Loss  0.533706, Average Loss  0.531464, Time  0.460737
2021-09-07 07:47:46.710207 : Epoch  9, Batch    590, Loss  0.532475, Average Loss  0.531461, Time  0.459555
2021-09-07 07:47:48.575429 : Epoch  9, Batch    591, Loss  0.540373, Average Loss  0.531449, Time  0.459354
2021-09-07 07:47:50.451071 : Epoch  9, Batch    592, Loss  0.521831, Average Loss  0.531435, Time  0.461946
2021-09-07 07:47:52.329141 : Epoch  9, Batch    593, Loss  0.513952, Average Loss  0.531347, Time  0.461050
2021-09-07 07:47:54.205332 : Epoch  9, Batch    594, Loss  0.528384, Average Loss  0.531270, Time  0.459475
2021-09-07 07:47:56.083402 : Epoch  9, Batch    595, Loss  0.530582, Average Loss  0.531203, Time  0.460171
2021-09-07 07:47:57.962157 : Epoch  9, Batch    596, Loss  0.523953, Average Loss  0.531189, Time  0.460624
2021-09-07 07:47:59.856747 : Epoch  9, Batch    597, Loss  0.536281, Average Loss  0.531163, Time  0.461187
2021-09-07 07:48:01.715388 : Epoch  9, Batch    598, Loss  0.522667, Average Loss  0.531096, Time  0.460331
2021-09-07 07:48:03.584213 : Epoch  9, Batch    599, Loss  0.527198, Average Loss  0.531027, Time  0.460107
2021-09-07 07:48:05.457441 : Epoch  9, Batch    600, Loss  0.523688, Average Loss  0.531013, Time  0.460221
2021-09-07 07:48:07.332746 : Epoch  9, Batch    601, Loss  0.523409, Average Loss  0.531008, Time  0.460028
2021-09-07 07:48:09.219110 : Epoch  9, Batch    602, Loss  0.535565, Average Loss  0.531060, Time  0.460778
2021-09-07 07:48:11.099120 : Epoch  9, Batch    603, Loss  0.514107, Average Loss  0.531018, Time  0.460591
2021-09-07 07:48:12.970184 : Epoch  9, Batch    604, Loss  0.529952, Average Loss  0.530961, Time  0.459969
2021-09-07 07:49:16.450784 : CheckPoint: Validation Loss  0.00022132, Best Loss  0.00021135
2021-09-07 07:49:18.325272 : Epoch  9, Batch    605, Loss  0.526421, Average Loss  0.530903, Time  0.459548
2021-09-07 07:49:20.162433 : Epoch  9, Batch    606, Loss  0.545301, Average Loss  0.530914, Time  0.459890
2021-09-07 07:49:22.039763 : Epoch  9, Batch    607, Loss  0.533050, Average Loss  0.530850, Time  0.460242
2021-09-07 07:49:23.898437 : Epoch  9, Batch    608, Loss  0.532881, Average Loss  0.530881, Time  0.459281
2021-09-07 07:49:25.732721 : Epoch  9, Batch    609, Loss  0.530716, Average Loss  0.530849, Time  0.458876
2021-09-07 07:49:27.582640 : Epoch  9, Batch    610, Loss  0.537371, Average Loss  0.530886, Time  0.460663
2021-09-07 07:49:29.434446 : Epoch  9, Batch    611, Loss  0.547447, Average Loss  0.531037, Time  0.459753
2021-09-07 07:49:31.290992 : Epoch  9, Batch    612, Loss  0.539336, Average Loss  0.531122, Time  0.460407
2021-09-07 07:49:33.142931 : Epoch  9, Batch    613, Loss  0.536262, Average Loss  0.531140, Time  0.459949
2021-09-07 07:49:34.980114 : Epoch  9, Batch    614, Loss  0.548992, Average Loss  0.531324, Time  0.460168
2021-09-07 07:49:36.841446 : Epoch  9, Batch    615, Loss  0.557635, Average Loss  0.531430, Time  0.460635
2021-09-07 07:49:38.692342 : Epoch  9, Batch    616, Loss  0.537607, Average Loss  0.531425, Time  0.460296
2021-09-07 07:49:40.541212 : Epoch  9, Batch    617, Loss  0.534422, Average Loss  0.531476, Time  0.459648
2021-09-07 07:49:42.392815 : Epoch  9, Batch    618, Loss  0.523275, Average Loss  0.531509, Time  0.458752
2021-09-07 07:49:44.237425 : Epoch  9, Batch    619, Loss  0.549735, Average Loss  0.531601, Time  0.459972
2021-09-07 07:49:46.090918 : Epoch  9, Batch    620, Loss  0.539280, Average Loss  0.531594, Time  0.460185
2021-09-07 07:49:47.925419 : Epoch  9, Batch    621, Loss  0.523420, Average Loss  0.531558, Time  0.459281
2021-09-07 07:49:49.761456 : Epoch  9, Batch    622, Loss  0.534952, Average Loss  0.531588, Time  0.459451
2021-09-07 07:49:51.593485 : Epoch  9, Batch    623, Loss  0.540944, Average Loss  0.531668, Time  0.458950
2021-09-07 07:49:53.437051 : Epoch  9, Batch    624, Loss  0.546543, Average Loss  0.531714, Time  0.461655
2021-09-07 07:49:55.282411 : Epoch  9, Batch    625, Loss  0.527474, Average Loss  0.531641, Time  0.459142
2021-09-07 07:49:57.122031 : Epoch  9, Batch    626, Loss  0.528092, Average Loss  0.531561, Time  0.460459
2021-09-07 07:49:58.965300 : Epoch  9, Batch    627, Loss  0.533436, Average Loss  0.531601, Time  0.459971
2021-09-07 07:50:00.797613 : Epoch  9, Batch    628, Loss  0.526704, Average Loss  0.531619, Time  0.459799
2021-09-07 07:50:02.650041 : Epoch  9, Batch    629, Loss  0.518710, Average Loss  0.531585, Time  0.459308
2021-09-07 07:50:04.483910 : Epoch  9, Batch    630, Loss  0.529050, Average Loss  0.531600, Time  0.460959
2021-09-07 07:50:06.314170 : Epoch  9, Batch    631, Loss  0.512975, Average Loss  0.531524, Time  0.458706
2021-09-07 07:50:08.157027 : Epoch  9, Batch    632, Loss  0.523875, Average Loss  0.531522, Time  0.460422
2021-09-07 07:50:09.990081 : Epoch  9, Batch    633, Loss  0.529609, Average Loss  0.531425, Time  0.459175
2021-09-07 07:50:11.843286 : Epoch  9, Batch    634, Loss  0.542796, Average Loss  0.531483, Time  0.460269
2021-09-07 07:50:13.691695 : Epoch  9, Batch    635, Loss  0.532984, Average Loss  0.531493, Time  0.460147
2021-09-07 07:50:15.530154 : Epoch  9, Batch    636, Loss  0.530634, Average Loss  0.531503, Time  0.459230
2021-09-07 07:50:17.372759 : Epoch  9, Batch    637, Loss  0.518018, Average Loss  0.531506, Time  0.460539
2021-09-07 07:50:19.221864 : Epoch  9, Batch    638, Loss  0.540712, Average Loss  0.531502, Time  0.459483
2021-09-07 07:50:21.055378 : Epoch  9, Batch    639, Loss  0.539629, Average Loss  0.531517, Time  0.459624
2021-09-07 07:50:22.900853 : Epoch  9, Batch    640, Loss  0.529303, Average Loss  0.531527, Time  0.459255
2021-09-07 07:50:24.743009 : Epoch  9, Batch    641, Loss  0.534643, Average Loss  0.531534, Time  0.460137
2021-09-07 07:50:26.592570 : Epoch  9, Batch    642, Loss  0.528269, Average Loss  0.531566, Time  0.462168
2021-09-07 07:50:28.447027 : Epoch  9, Batch    643, Loss  0.532364, Average Loss  0.531631, Time  0.460585
2021-09-07 07:50:30.307047 : Epoch  9, Batch    644, Loss  0.533805, Average Loss  0.531588, Time  0.460576
2021-09-07 07:50:32.148705 : Epoch  9, Batch    645, Loss  0.546613, Average Loss  0.531667, Time  0.459567
2021-09-07 07:50:33.978146 : Epoch  9, Batch    646, Loss  0.523507, Average Loss  0.531636, Time  0.459466
2021-09-07 07:50:35.811481 : Epoch  9, Batch    647, Loss  0.532358, Average Loss  0.531679, Time  0.459206
2021-09-07 07:50:37.661615 : Epoch  9, Batch    648, Loss  0.529832, Average Loss  0.531732, Time  0.460810
2021-09-07 07:50:39.516255 : Epoch  9, Batch    649, Loss  0.532660, Average Loss  0.531756, Time  0.459180
2021-09-07 07:50:41.367801 : Epoch  9, Batch    650, Loss  0.530356, Average Loss  0.531748, Time  0.460494
2021-09-07 07:50:43.222791 : Epoch  9, Batch    651, Loss  0.536892, Average Loss  0.531711, Time  0.460369
2021-09-07 07:50:45.068808 : Epoch  9, Batch    652, Loss  0.542557, Average Loss  0.531831, Time  0.458988
2021-09-07 07:50:46.907920 : Epoch  9, Batch    653, Loss  0.529152, Average Loss  0.531759, Time  0.460432
2021-09-07 07:50:48.758915 : Epoch  9, Batch    654, Loss  0.527786, Average Loss  0.531766, Time  0.460113
2021-09-07 07:50:50.607541 : Epoch  9, Batch    655, Loss  0.516980, Average Loss  0.531720, Time  0.460082
2021-09-07 07:50:52.458021 : Epoch  9, Batch    656, Loss  0.546770, Average Loss  0.531837, Time  0.459838
2021-09-07 07:50:54.321097 : Epoch  9, Batch    657, Loss  0.531755, Average Loss  0.531833, Time  0.459240
2021-09-07 07:50:56.158863 : Epoch  9, Batch    658, Loss  0.522654, Average Loss  0.531791, Time  0.459639
2021-09-07 07:50:57.997552 : Epoch  9, Batch    659, Loss  0.525432, Average Loss  0.531745, Time  0.459781
2021-09-07 07:50:59.851439 : Epoch  9, Batch    660, Loss  0.533980, Average Loss  0.531832, Time  0.460869
2021-09-07 07:51:01.698036 : Epoch  9, Batch    661, Loss  0.534318, Average Loss  0.531827, Time  0.459988
2021-09-07 07:51:03.536220 : Epoch  9, Batch    662, Loss  0.520880, Average Loss  0.531835, Time  0.459224
2021-09-07 07:51:05.376508 : Epoch  9, Batch    663, Loss  0.516289, Average Loss  0.531739, Time  0.459094
2021-09-07 07:51:07.237205 : Epoch  9, Batch    664, Loss  0.539445, Average Loss  0.531731, Time  0.460091
2021-09-07 07:51:09.084784 : Epoch  9, Batch    665, Loss  0.526126, Average Loss  0.531680, Time  0.460664
2021-09-07 07:51:10.953851 : Epoch  9, Batch    666, Loss  0.523314, Average Loss  0.531618, Time  0.460183
2021-09-07 07:51:12.788942 : Epoch  9, Batch    667, Loss  0.522967, Average Loss  0.531592, Time  0.459036
2021-09-07 07:51:14.622979 : Epoch  9, Batch    668, Loss  0.531386, Average Loss  0.531587, Time  0.459716
2021-09-07 07:51:16.456671 : Epoch  9, Batch    669, Loss  0.527746, Average Loss  0.531503, Time  0.460151
2021-09-07 07:51:18.339998 : Epoch  9, Batch    670, Loss  0.533182, Average Loss  0.531514, Time  0.459543
2021-09-07 07:51:20.187063 : Epoch  9, Batch    671, Loss  0.527795, Average Loss  0.531480, Time  0.460028
2021-09-07 07:51:22.042613 : Epoch  9, Batch    672, Loss  0.534988, Average Loss  0.531447, Time  0.459221
2021-09-07 07:51:23.888903 : Epoch  9, Batch    673, Loss  0.535676, Average Loss  0.531456, Time  0.459302
2021-09-07 07:51:25.756647 : Epoch  9, Batch    674, Loss  0.524054, Average Loss  0.531391, Time  0.460061
2021-09-07 07:51:29.475111 : Epoch  9, Batch    675, Loss  0.529267, Average Loss  0.531360, Time  0.471686
2021-09-07 07:51:31.344178 : Epoch  9, Batch    676, Loss  0.532187, Average Loss  0.531424, Time  0.460284
2021-09-07 07:51:33.194606 : Epoch  9, Batch    677, Loss  0.523040, Average Loss  0.531336, Time  0.460624
2021-09-07 07:51:35.041718 : Epoch  9, Batch    678, Loss  0.539625, Average Loss  0.531445, Time  0.459309
2021-09-07 07:51:36.890596 : Epoch  9, Batch    679, Loss  0.527395, Average Loss  0.531400, Time  0.460478
2021-09-07 07:51:38.762001 : Epoch  9, Batch    680, Loss  0.522812, Average Loss  0.531334, Time  0.459039
2021-09-07 07:51:40.631555 : Epoch  9, Batch    681, Loss  0.528871, Average Loss  0.531320, Time  0.459993
2021-09-07 07:51:42.487514 : Epoch  9, Batch    682, Loss  0.538784, Average Loss  0.531375, Time  0.460544
2021-09-07 07:51:44.332928 : Epoch  9, Batch    683, Loss  0.540844, Average Loss  0.531414, Time  0.459837
2021-09-07 07:51:46.201446 : Epoch  9, Batch    684, Loss  0.545703, Average Loss  0.531481, Time  0.459954
2021-09-07 07:51:48.058894 : Epoch  9, Batch    685, Loss  0.538085, Average Loss  0.531518, Time  0.460021
2021-09-07 07:51:49.937149 : Epoch  9, Batch    686, Loss  0.524998, Average Loss  0.531524, Time  0.462184
2021-09-07 07:51:51.797248 : Epoch  9, Batch    687, Loss  0.542268, Average Loss  0.531582, Time  0.460019
2021-09-07 07:51:53.661758 : Epoch  9, Batch    688, Loss  0.531233, Average Loss  0.531579, Time  0.459524
2021-09-07 07:51:55.513017 : Epoch  9, Batch    689, Loss  0.539334, Average Loss  0.531548, Time  0.459782
2021-09-07 07:51:57.364155 : Epoch  9, Batch    690, Loss  0.546481, Average Loss  0.531643, Time  0.459284
2021-09-07 07:51:59.222473 : Epoch  9, Batch    691, Loss  0.517956, Average Loss  0.531571, Time  0.459414
2021-09-07 07:52:01.098981 : Epoch  9, Batch    692, Loss  0.535418, Average Loss  0.531635, Time  0.460097
2021-09-07 07:52:02.973319 : Epoch  9, Batch    693, Loss  0.531698, Average Loss  0.531691, Time  0.460348
2021-09-07 07:52:04.834038 : Epoch  9, Batch    694, Loss  0.547128, Average Loss  0.531762, Time  0.460137
2021-09-07 07:52:06.687943 : Epoch  9, Batch    695, Loss  0.537968, Average Loss  0.531858, Time  0.460106
2021-09-07 07:52:08.557144 : Epoch  9, Batch    696, Loss  0.533911, Average Loss  0.531870, Time  0.459537
2021-09-07 07:52:10.406259 : Epoch  9, Batch    697, Loss  0.527988, Average Loss  0.531858, Time  0.459449
2021-09-07 07:52:12.280122 : Epoch  9, Batch    698, Loss  0.534174, Average Loss  0.531883, Time  0.459976
2021-09-07 07:52:14.143477 : Epoch  9, Batch    699, Loss  0.542824, Average Loss  0.531971, Time  0.461181
2021-09-07 07:52:16.001366 : Epoch  9, Batch    700, Loss  0.542527, Average Loss  0.531981, Time  0.460418
2021-09-07 07:52:17.880779 : Epoch  9, Batch    701, Loss  0.539852, Average Loss  0.531926, Time  0.458960
2021-09-07 07:52:19.727923 : Epoch  9, Batch    702, Loss  0.543829, Average Loss  0.531994, Time  0.459624
2021-09-07 07:52:21.597538 : Epoch  9, Batch    703, Loss  0.520854, Average Loss  0.531926, Time  0.460534
2021-09-07 07:52:25.292111 : Epoch  9, Batch    704, Loss  0.520765, Average Loss  0.531878, Time  0.474842
2021-09-07 07:53:28.402160 : CheckPoint: Validation Loss  0.00021671, Best Loss  0.00021135
2021-09-07 07:53:30.270663 : Epoch  9, Batch    705, Loss  0.536420, Average Loss  0.531953, Time  0.459599
2021-09-07 07:53:32.122399 : Epoch  9, Batch    706, Loss  0.534888, Average Loss  0.531987, Time  0.459449
2021-09-07 07:53:33.983539 : Epoch  9, Batch    707, Loss  0.528441, Average Loss  0.532064, Time  0.460268
2021-09-07 07:53:35.846115 : Epoch  9, Batch    708, Loss  0.526890, Average Loss  0.532037, Time  0.459609
2021-09-07 07:53:37.695829 : Epoch  9, Batch    709, Loss  0.532304, Average Loss  0.532017, Time  0.459397
2021-09-07 07:53:39.560665 : Epoch  9, Batch    710, Loss  0.529796, Average Loss  0.531991, Time  0.459488
2021-09-07 07:53:41.410658 : Epoch  9, Batch    711, Loss  0.526162, Average Loss  0.531999, Time  0.460251
2021-09-07 07:53:43.270882 : Epoch  9, Batch    712, Loss  0.530415, Average Loss  0.531944, Time  0.460581
2021-09-07 07:53:45.138199 : Epoch  9, Batch    713, Loss  0.531644, Average Loss  0.531924, Time  0.459094
2021-09-07 07:53:46.993557 : Epoch  9, Batch    714, Loss  0.526195, Average Loss  0.531888, Time  0.459002
2021-09-07 07:53:48.844911 : Epoch  9, Batch    715, Loss  0.529576, Average Loss  0.531915, Time  0.460134
2021-09-07 07:53:50.683267 : Epoch  9, Batch    716, Loss  0.524810, Average Loss  0.531929, Time  0.458808
2021-09-07 07:53:52.535733 : Epoch  9, Batch    717, Loss  0.530251, Average Loss  0.531917, Time  0.459311
2021-09-07 07:53:54.390417 : Epoch  9, Batch    718, Loss  0.527663, Average Loss  0.531900, Time  0.460171
2021-09-07 07:53:56.246229 : Epoch  9, Batch    719, Loss  0.516869, Average Loss  0.531819, Time  0.459270
2021-09-07 07:53:58.091334 : Epoch  9, Batch    720, Loss  0.539564, Average Loss  0.531840, Time  0.460057
2021-09-07 07:53:59.946014 : Epoch  9, Batch    721, Loss  0.517821, Average Loss  0.531742, Time  0.458961
2021-09-07 07:54:01.802544 : Epoch  9, Batch    722, Loss  0.538378, Average Loss  0.531697, Time  0.460013
2021-09-07 07:54:03.654453 : Epoch  9, Batch    723, Loss  0.530245, Average Loss  0.531716, Time  0.459073
2021-09-07 07:54:05.510903 : Epoch  9, Batch    724, Loss  0.534679, Average Loss  0.531783, Time  0.460775
2021-09-07 07:54:07.374405 : Epoch  9, Batch    725, Loss  0.533628, Average Loss  0.531832, Time  0.460193
2021-09-07 07:54:09.241995 : Epoch  9, Batch    726, Loss  0.530220, Average Loss  0.531896, Time  0.459870
2021-09-07 07:54:11.096591 : Epoch  9, Batch    727, Loss  0.521851, Average Loss  0.531835, Time  0.458863
2021-09-07 07:54:12.942916 : Epoch  9, Batch    728, Loss  0.517515, Average Loss  0.531675, Time  0.460562
2021-09-07 07:54:14.795117 : Epoch  9, Batch    729, Loss  0.540145, Average Loss  0.531672, Time  0.459806
2021-09-07 07:54:16.646494 : Epoch  9, Batch    730, Loss  0.520998, Average Loss  0.531561, Time  0.459814
2021-09-07 07:54:18.488989 : Epoch  9, Batch    731, Loss  0.531377, Average Loss  0.531592, Time  0.460157
2021-09-07 07:54:20.345499 : Epoch  9, Batch    732, Loss  0.518279, Average Loss  0.531511, Time  0.460420
2021-09-07 07:54:22.191473 : Epoch  9, Batch    733, Loss  0.519203, Average Loss  0.531432, Time  0.458875
2021-09-07 07:54:24.036541 : Epoch  9, Batch    734, Loss  0.532972, Average Loss  0.531518, Time  0.460838
2021-09-07 07:54:25.927813 : Epoch  9, Batch    735, Loss  0.541415, Average Loss  0.531506, Time  0.463057
2021-09-07 07:54:27.820265 : Epoch  9, Batch    736, Loss  0.517883, Average Loss  0.531502, Time  0.462053
2021-09-07 07:54:29.719922 : Epoch  9, Batch    737, Loss  0.530463, Average Loss  0.531501, Time  0.462241
2021-09-07 07:54:31.600150 : Epoch  9, Batch    738, Loss  0.532591, Average Loss  0.531502, Time  0.459139
2021-09-07 07:54:33.439822 : Epoch  9, Batch    739, Loss  0.527943, Average Loss  0.531542, Time  0.460608
2021-09-07 07:54:35.293176 : Epoch  9, Batch    740, Loss  0.533187, Average Loss  0.531604, Time  0.460454
2021-09-07 07:54:37.148875 : Epoch  9, Batch    741, Loss  0.530579, Average Loss  0.531612, Time  0.459154
2021-09-07 07:54:39.008427 : Epoch  9, Batch    742, Loss  0.535760, Average Loss  0.531680, Time  0.460092
2021-09-07 07:54:40.873277 : Epoch  9, Batch    743, Loss  0.535856, Average Loss  0.531724, Time  0.459499
2021-09-07 07:54:42.737349 : Epoch  9, Batch    744, Loss  0.540471, Average Loss  0.531829, Time  0.459101
2021-09-07 07:54:44.583023 : Epoch  9, Batch    745, Loss  0.540844, Average Loss  0.531801, Time  0.459542
2021-09-07 07:54:46.460047 : Epoch  9, Batch    746, Loss  0.536112, Average Loss  0.531861, Time  0.458806
2021-09-07 07:54:48.301296 : Epoch  9, Batch    747, Loss  0.543940, Average Loss  0.531934, Time  0.459704
2021-09-07 07:54:50.168970 : Epoch  9, Batch    748, Loss  0.543625, Average Loss  0.532028, Time  0.460200
2021-09-07 07:54:52.021225 : Epoch  9, Batch    749, Loss  0.528023, Average Loss  0.531984, Time  0.458962
2021-09-07 07:54:53.875890 : Epoch  9, Batch    750, Loss  0.529882, Average Loss  0.531996, Time  0.461628
2021-09-07 07:54:55.735695 : Epoch  9, Batch    751, Loss  0.528611, Average Loss  0.531983, Time  0.458632
2021-09-07 07:54:57.583179 : Epoch  9, Batch    752, Loss  0.520543, Average Loss  0.531895, Time  0.459473
2021-09-07 07:54:59.425169 : Epoch  9, Batch    753, Loss  0.516434, Average Loss  0.531832, Time  0.459073
2021-09-07 07:55:01.267516 : Epoch  9, Batch    754, Loss  0.531741, Average Loss  0.531808, Time  0.460419
2021-09-07 07:55:03.125237 : Epoch  9, Batch    755, Loss  0.526118, Average Loss  0.531729, Time  0.459585
2021-09-07 07:55:04.986256 : Epoch  9, Batch    756, Loss  0.540342, Average Loss  0.531756, Time  0.460087
2021-09-07 07:55:06.848646 : Epoch  9, Batch    757, Loss  0.526039, Average Loss  0.531721, Time  0.460073
2021-09-07 07:55:08.720959 : Epoch  9, Batch    758, Loss  0.519177, Average Loss  0.531533, Time  0.459507
2021-09-07 07:55:10.563779 : Epoch  9, Batch    759, Loss  0.544067, Average Loss  0.531587, Time  0.459693
2021-09-07 07:55:12.412283 : Epoch  9, Batch    760, Loss  0.522011, Average Loss  0.531501, Time  0.460069
2021-09-07 07:55:14.281530 : Epoch  9, Batch    761, Loss  0.529068, Average Loss  0.531516, Time  0.460320
2021-09-07 07:55:16.121736 : Epoch  9, Batch    762, Loss  0.532369, Average Loss  0.531570, Time  0.459797
2021-09-07 07:55:17.971946 : Epoch  9, Batch    763, Loss  0.517618, Average Loss  0.531491, Time  0.458786
2021-09-07 07:55:19.804246 : Epoch  9, Batch    764, Loss  0.529206, Average Loss  0.531438, Time  0.460180
2021-09-07 07:55:21.665069 : Epoch  9, Batch    765, Loss  0.520468, Average Loss  0.531381, Time  0.459141
2021-09-07 07:55:23.517412 : Epoch  9, Batch    766, Loss  0.512289, Average Loss  0.531290, Time  0.459762
2021-09-07 07:55:25.367940 : Epoch  9, Batch    767, Loss  0.524374, Average Loss  0.531204, Time  0.460436
2021-09-07 07:55:27.229557 : Epoch  9, Batch    768, Loss  0.534456, Average Loss  0.531254, Time  0.459567
2021-09-07 07:55:29.089057 : Epoch  9, Batch    769, Loss  0.525122, Average Loss  0.531230, Time  0.459363
2021-09-07 07:55:30.939016 : Epoch  9, Batch    770, Loss  0.539142, Average Loss  0.531313, Time  0.459302
2021-09-07 07:55:32.790760 : Epoch  9, Batch    771, Loss  0.523733, Average Loss  0.531249, Time  0.460585
2021-09-07 07:55:34.637588 : Epoch  9, Batch    772, Loss  0.520533, Average Loss  0.531176, Time  0.461274
2021-09-07 07:55:36.477683 : Epoch  9, Batch    773, Loss  0.518837, Average Loss  0.531071, Time  0.460709
2021-09-07 07:55:38.326279 : Epoch  9, Batch    774, Loss  0.522848, Average Loss  0.531099, Time  0.460213
2021-09-07 07:55:42.006220 : Epoch  9, Batch    775, Loss  0.534865, Average Loss  0.531153, Time  0.470169
2021-09-07 07:55:43.844664 : Epoch  9, Batch    776, Loss  0.542490, Average Loss  0.531211, Time  0.459524
2021-09-07 07:55:45.691068 : Epoch  9, Batch    777, Loss  0.535920, Average Loss  0.531174, Time  0.458955
2021-09-07 07:55:47.558286 : Epoch  9, Batch    778, Loss  0.532531, Average Loss  0.531173, Time  0.459047
2021-09-07 07:55:49.400068 : Epoch  9, Batch    779, Loss  0.537956, Average Loss  0.531213, Time  0.460496
2021-09-07 07:55:51.240945 : Epoch  9, Batch    780, Loss  0.533422, Average Loss  0.531216, Time  0.459643
2021-09-07 07:55:53.080011 : Epoch  9, Batch    781, Loss  0.532152, Average Loss  0.531186, Time  0.458844
2021-09-07 07:55:54.917393 : Epoch  9, Batch    782, Loss  0.525882, Average Loss  0.531202, Time  0.459233
2021-09-07 07:55:56.774253 : Epoch  9, Batch    783, Loss  0.551935, Average Loss  0.531338, Time  0.459650
2021-09-07 07:55:58.621204 : Epoch  9, Batch    784, Loss  0.534403, Average Loss  0.531360, Time  0.458866
2021-09-07 07:56:00.465791 : Epoch  9, Batch    785, Loss  0.522874, Average Loss  0.531354, Time  0.460020
2021-09-07 07:56:02.316188 : Epoch  9, Batch    786, Loss  0.533365, Average Loss  0.531334, Time  0.459141
2021-09-07 07:56:04.159306 : Epoch  9, Batch    787, Loss  0.523009, Average Loss  0.531206, Time  0.458919
2021-09-07 07:56:04.188700 : Saving Model after 9-th Epoch.
2021-09-07 07:56:08.066588 : Epoch Finished.
2021-09-07 07:56:09.817874 : Batch Shuffled
2021-09-07 07:56:11.672745 : Epoch 10, Batch      1, Loss  0.549360, Average Loss  0.531276, Time  0.459442
2021-09-07 07:56:13.522565 : Epoch 10, Batch      2, Loss  0.532377, Average Loss  0.531269, Time  0.459078
2021-09-07 07:56:15.365338 : Epoch 10, Batch      3, Loss  0.529080, Average Loss  0.531252, Time  0.459538
2021-09-07 07:56:17.213536 : Epoch 10, Batch      4, Loss  0.525470, Average Loss  0.531178, Time  0.459175
2021-09-07 07:56:19.063342 : Epoch 10, Batch      5, Loss  0.532287, Average Loss  0.531230, Time  0.459069
2021-09-07 07:56:20.910517 : Epoch 10, Batch      6, Loss  0.521735, Average Loss  0.531269, Time  0.460080
2021-09-07 07:56:22.770844 : Epoch 10, Batch      7, Loss  0.533656, Average Loss  0.531295, Time  0.459559
2021-09-07 07:56:24.612794 : Epoch 10, Batch      8, Loss  0.534880, Average Loss  0.531317, Time  0.459707
2021-09-07 07:56:26.461577 : Epoch 10, Batch      9, Loss  0.536477, Average Loss  0.531379, Time  0.459265
2021-09-07 07:56:28.302971 : Epoch 10, Batch     10, Loss  0.524465, Average Loss  0.531320, Time  0.459295
2021-09-07 07:56:30.147080 : Epoch 10, Batch     11, Loss  0.527389, Average Loss  0.531344, Time  0.460099
2021-09-07 07:56:32.021784 : Epoch 10, Batch     12, Loss  0.527681, Average Loss  0.531346, Time  0.461096
2021-09-07 07:56:33.877787 : Epoch 10, Batch     13, Loss  0.521681, Average Loss  0.531336, Time  0.458842
2021-09-07 07:56:35.725352 : Epoch 10, Batch     14, Loss  0.534809, Average Loss  0.531393, Time  0.460018
2021-09-07 07:56:37.596083 : Epoch 10, Batch     15, Loss  0.525909, Average Loss  0.531345, Time  0.460017
2021-09-07 07:56:39.465050 : Epoch 10, Batch     16, Loss  0.530416, Average Loss  0.531426, Time  0.461878
2021-09-07 07:56:41.302220 : Epoch 10, Batch     17, Loss  0.516753, Average Loss  0.531360, Time  0.459739
2021-09-07 07:57:44.305513 : CheckPoint: Validation Loss  0.00022133, Best Loss  0.00021135
2021-09-07 07:57:46.178350 : Epoch 10, Batch     18, Loss  0.545602, Average Loss  0.531456, Time  0.464183
2021-09-07 07:57:48.036657 : Epoch 10, Batch     19, Loss  0.527538, Average Loss  0.531368, Time  0.458811
2021-09-07 07:57:49.883866 : Epoch 10, Batch     20, Loss  0.526506, Average Loss  0.531335, Time  0.459913
2021-09-07 07:57:51.742635 : Epoch 10, Batch     21, Loss  0.547407, Average Loss  0.531407, Time  0.459615
2021-09-07 07:57:53.597000 : Epoch 10, Batch     22, Loss  0.540197, Average Loss  0.531455, Time  0.460878
2021-09-07 07:57:55.438621 : Epoch 10, Batch     23, Loss  0.532047, Average Loss  0.531428, Time  0.460318
2021-09-07 07:57:57.286555 : Epoch 10, Batch     24, Loss  0.536545, Average Loss  0.531374, Time  0.459002
2021-09-07 07:57:59.134610 : Epoch 10, Batch     25, Loss  0.522922, Average Loss  0.531292, Time  0.459444
2021-09-07 07:58:00.976879 : Epoch 10, Batch     26, Loss  0.524935, Average Loss  0.531235, Time  0.459182
2021-09-07 07:58:02.845191 : Epoch 10, Batch     27, Loss  0.527728, Average Loss  0.531129, Time  0.459872
2021-09-07 07:58:04.706575 : Epoch 10, Batch     28, Loss  0.547954, Average Loss  0.531080, Time  0.459289
2021-09-07 07:58:06.563844 : Epoch 10, Batch     29, Loss  0.526299, Average Loss  0.531024, Time  0.460300
2021-09-07 07:58:08.433481 : Epoch 10, Batch     30, Loss  0.530450, Average Loss  0.531004, Time  0.460336
2021-09-07 07:58:10.277808 : Epoch 10, Batch     31, Loss  0.530202, Average Loss  0.531039, Time  0.459715
2021-09-07 07:58:12.128207 : Epoch 10, Batch     32, Loss  0.525750, Average Loss  0.530919, Time  0.459805
2021-09-07 07:58:13.974869 : Epoch 10, Batch     33, Loss  0.531514, Average Loss  0.530880, Time  0.459546
2021-09-07 07:58:15.836826 : Epoch 10, Batch     34, Loss  0.528539, Average Loss  0.530905, Time  0.461746
2021-09-07 07:58:17.684146 : Epoch 10, Batch     35, Loss  0.533655, Average Loss  0.530899, Time  0.460659
2021-09-07 07:58:19.551330 : Epoch 10, Batch     36, Loss  0.530284, Average Loss  0.530846, Time  0.459209
2021-09-07 07:58:21.403462 : Epoch 10, Batch     37, Loss  0.527902, Average Loss  0.530752, Time  0.459343
2021-09-07 07:58:23.252038 : Epoch 10, Batch     38, Loss  0.537230, Average Loss  0.530801, Time  0.459104
2021-09-07 07:58:25.101967 : Epoch 10, Batch     39, Loss  0.524636, Average Loss  0.530784, Time  0.459924
2021-09-07 07:58:26.950931 : Epoch 10, Batch     40, Loss  0.517722, Average Loss  0.530705, Time  0.460258
2021-09-07 07:58:28.808849 : Epoch 10, Batch     41, Loss  0.529528, Average Loss  0.530719, Time  0.460356
2021-09-07 07:58:30.652888 : Epoch 10, Batch     42, Loss  0.527718, Average Loss  0.530764, Time  0.459620
2021-09-07 07:58:32.500460 : Epoch 10, Batch     43, Loss  0.537956, Average Loss  0.530809, Time  0.459475
2021-09-07 07:58:34.351995 : Epoch 10, Batch     44, Loss  0.529457, Average Loss  0.530891, Time  0.459379
2021-09-07 07:58:36.207891 : Epoch 10, Batch     45, Loss  0.537366, Average Loss  0.530959, Time  0.459371
2021-09-07 07:58:38.061210 : Epoch 10, Batch     46, Loss  0.525942, Average Loss  0.530941, Time  0.460334
2021-09-07 07:58:39.915768 : Epoch 10, Batch     47, Loss  0.532201, Average Loss  0.530888, Time  0.459490
2021-09-07 07:58:41.763092 : Epoch 10, Batch     48, Loss  0.533984, Average Loss  0.530893, Time  0.459980
2021-09-07 07:58:43.613333 : Epoch 10, Batch     49, Loss  0.529351, Average Loss  0.530886, Time  0.460103
2021-09-07 07:58:45.466194 : Epoch 10, Batch     50, Loss  0.543216, Average Loss  0.531012, Time  0.458989
2021-09-07 07:58:47.331478 : Epoch 10, Batch     51, Loss  0.521420, Average Loss  0.530916, Time  0.460350
2021-09-07 07:58:49.195752 : Epoch 10, Batch     52, Loss  0.549733, Average Loss  0.530966, Time  0.460677
2021-09-07 07:58:51.063796 : Epoch 10, Batch     53, Loss  0.538479, Average Loss  0.531012, Time  0.460012
2021-09-07 07:58:52.916408 : Epoch 10, Batch     54, Loss  0.527530, Average Loss  0.530977, Time  0.459343
2021-09-07 07:58:54.759404 : Epoch 10, Batch     55, Loss  0.533760, Average Loss  0.531004, Time  0.460433
2021-09-07 07:58:56.615188 : Epoch 10, Batch     56, Loss  0.529031, Average Loss  0.530987, Time  0.459241
2021-09-07 07:58:58.474345 : Epoch 10, Batch     57, Loss  0.521132, Average Loss  0.530924, Time  0.460349
2021-09-07 07:59:00.338713 : Epoch 10, Batch     58, Loss  0.528454, Average Loss  0.530833, Time  0.460412
2021-09-07 07:59:02.180404 : Epoch 10, Batch     59, Loss  0.500669, Average Loss  0.530719, Time  0.458942
2021-09-07 07:59:04.022943 : Epoch 10, Batch     60, Loss  0.533074, Average Loss  0.530723, Time  0.460443
2021-09-07 07:59:05.882977 : Epoch 10, Batch     61, Loss  0.515820, Average Loss  0.530652, Time  0.459411
2021-09-07 07:59:07.737684 : Epoch 10, Batch     62, Loss  0.519030, Average Loss  0.530584, Time  0.459752
2021-09-07 07:59:09.589662 : Epoch 10, Batch     63, Loss  0.532448, Average Loss  0.530595, Time  0.461652
2021-09-07 07:59:11.452191 : Epoch 10, Batch     64, Loss  0.530758, Average Loss  0.530564, Time  0.459356
2021-09-07 07:59:13.306332 : Epoch 10, Batch     65, Loss  0.529584, Average Loss  0.530499, Time  0.459105
2021-09-07 07:59:15.163458 : Epoch 10, Batch     66, Loss  0.503211, Average Loss  0.530370, Time  0.460166
2021-09-07 07:59:15.356681 : Epoch 10, Batch     67, Loss  0.654000, Average Loss  0.531001, Time  0.153893
2021-09-07 07:59:17.206011 : Epoch 10, Batch     68, Loss  0.533247, Average Loss  0.531082, Time  0.460038
2021-09-07 07:59:19.060570 : Epoch 10, Batch     69, Loss  0.538623, Average Loss  0.531041, Time  0.459257
2021-09-07 07:59:20.909758 : Epoch 10, Batch     70, Loss  0.528016, Average Loss  0.531023, Time  0.459412
2021-09-07 07:59:22.759173 : Epoch 10, Batch     71, Loss  0.537603, Average Loss  0.531097, Time  0.459443
2021-09-07 07:59:24.605748 : Epoch 10, Batch     72, Loss  0.548951, Average Loss  0.531215, Time  0.460095
2021-09-07 07:59:26.472703 : Epoch 10, Batch     73, Loss  0.536973, Average Loss  0.531230, Time  0.460364
2021-09-07 07:59:28.333692 : Epoch 10, Batch     74, Loss  0.527979, Average Loss  0.531198, Time  0.459306
2021-09-07 07:59:30.193486 : Epoch 10, Batch     75, Loss  0.544873, Average Loss  0.531318, Time  0.459382
2021-09-07 07:59:32.057186 : Epoch 10, Batch     76, Loss  0.536508, Average Loss  0.531419, Time  0.460758
2021-09-07 07:59:33.920501 : Epoch 10, Batch     77, Loss  0.548464, Average Loss  0.531464, Time  0.460867
2021-09-07 07:59:35.755986 : Epoch 10, Batch     78, Loss  0.519500, Average Loss  0.531431, Time  0.459025
2021-09-07 07:59:37.598030 : Epoch 10, Batch     79, Loss  0.526102, Average Loss  0.531445, Time  0.459086
2021-09-07 07:59:39.444669 : Epoch 10, Batch     80, Loss  0.530393, Average Loss  0.531482, Time  0.459862
2021-09-07 07:59:41.292383 : Epoch 10, Batch     81, Loss  0.543094, Average Loss  0.531541, Time  0.459562
2021-09-07 07:59:43.137789 : Epoch 10, Batch     82, Loss  0.525877, Average Loss  0.531531, Time  0.459429
2021-09-07 07:59:44.986430 : Epoch 10, Batch     83, Loss  0.535785, Average Loss  0.531544, Time  0.459724
2021-09-07 07:59:46.854569 : Epoch 10, Batch     84, Loss  0.526442, Average Loss  0.531538, Time  0.459748
2021-09-07 07:59:48.698681 : Epoch 10, Batch     85, Loss  0.536113, Average Loss  0.531543, Time  0.459289
2021-09-07 07:59:50.538310 : Epoch 10, Batch     86, Loss  0.531725, Average Loss  0.531524, Time  0.460338
2021-09-07 07:59:52.377138 : Epoch 10, Batch     87, Loss  0.535665, Average Loss  0.531582, Time  0.459454
2021-09-07 07:59:54.220462 : Epoch 10, Batch     88, Loss  0.538721, Average Loss  0.531629, Time  0.459688
2021-09-07 07:59:57.840776 : Epoch 10, Batch     89, Loss  0.546149, Average Loss  0.531699, Time  0.472112
2021-09-07 07:59:59.675573 : Epoch 10, Batch     90, Loss  0.536710, Average Loss  0.531767, Time  0.459235
2021-09-07 08:00:01.533956 : Epoch 10, Batch     91, Loss  0.540568, Average Loss  0.531772, Time  0.465848
2021-09-07 08:00:03.390478 : Epoch 10, Batch     92, Loss  0.533371, Average Loss  0.531802, Time  0.459796
2021-09-07 08:00:05.245361 : Epoch 10, Batch     93, Loss  0.528447, Average Loss  0.531830, Time  0.459127
2021-09-07 08:00:07.096121 : Epoch 10, Batch     94, Loss  0.515894, Average Loss  0.531765, Time  0.459157
2021-09-07 08:00:08.953967 : Epoch 10, Batch     95, Loss  0.520036, Average Loss  0.531671, Time  0.459651
2021-09-07 08:00:10.795013 : Epoch 10, Batch     96, Loss  0.533614, Average Loss  0.531635, Time  0.459487
2021-09-07 08:00:12.652535 : Epoch 10, Batch     97, Loss  0.542387, Average Loss  0.531618, Time  0.459812
2021-09-07 08:00:14.524231 : Epoch 10, Batch     98, Loss  0.538991, Average Loss  0.531623, Time  0.460949
2021-09-07 08:00:16.368837 : Epoch 10, Batch     99, Loss  0.523801, Average Loss  0.531617, Time  0.459344
2021-09-07 08:00:18.230874 : Epoch 10, Batch    100, Loss  0.538409, Average Loss  0.531598, Time  0.460493
2021-09-07 08:00:20.081072 : Epoch 10, Batch    101, Loss  0.531765, Average Loss  0.531600, Time  0.459202
2021-09-07 08:00:21.922836 : Epoch 10, Batch    102, Loss  0.545322, Average Loss  0.531630, Time  0.460255
2021-09-07 08:00:23.781067 : Epoch 10, Batch    103, Loss  0.523909, Average Loss  0.531517, Time  0.460389
2021-09-07 08:00:25.625131 : Epoch 10, Batch    104, Loss  0.527301, Average Loss  0.531564, Time  0.459337
2021-09-07 08:00:27.474038 : Epoch 10, Batch    105, Loss  0.523635, Average Loss  0.531505, Time  0.459532
2021-09-07 08:00:29.319929 : Epoch 10, Batch    106, Loss  0.531921, Average Loss  0.531506, Time  0.459683
2021-09-07 08:00:31.195277 : Epoch 10, Batch    107, Loss  0.531822, Average Loss  0.531430, Time  0.460613
2021-09-07 08:00:33.047284 : Epoch 10, Batch    108, Loss  0.520948, Average Loss  0.531345, Time  0.459735
2021-09-07 08:00:34.887318 : Epoch 10, Batch    109, Loss  0.515667, Average Loss  0.531253, Time  0.459515
2021-09-07 08:00:36.726227 : Epoch 10, Batch    110, Loss  0.533760, Average Loss  0.531282, Time  0.459736
2021-09-07 08:00:38.582508 : Epoch 10, Batch    111, Loss  0.537528, Average Loss  0.531299, Time  0.460110
2021-09-07 08:00:40.421641 : Epoch 10, Batch    112, Loss  0.534538, Average Loss  0.531258, Time  0.459459
2021-09-07 08:00:42.258401 : Epoch 10, Batch    113, Loss  0.523837, Average Loss  0.531164, Time  0.461257
2021-09-07 08:00:44.111699 : Epoch 10, Batch    114, Loss  0.525014, Average Loss  0.531090, Time  0.459904
2021-09-07 08:00:45.976115 : Epoch 10, Batch    115, Loss  0.530186, Average Loss  0.531022, Time  0.460098
2021-09-07 08:00:47.825760 : Epoch 10, Batch    116, Loss  0.535142, Average Loss  0.531093, Time  0.460451
2021-09-07 08:00:49.667643 : Epoch 10, Batch    117, Loss  0.530939, Average Loss  0.531144, Time  0.460463
2021-09-07 08:01:52.555943 : CheckPoint: Validation Loss  0.00021913, Best Loss  0.00021135
2021-09-07 08:01:54.409040 : Epoch 10, Batch    118, Loss  0.526939, Average Loss  0.531097, Time  0.460029
2021-09-07 08:01:56.239099 : Epoch 10, Batch    119, Loss  0.543452, Average Loss  0.531140, Time  0.459706
2021-09-07 08:01:58.079238 : Epoch 10, Batch    120, Loss  0.529108, Average Loss  0.531143, Time  0.459013
2021-09-07 08:01:59.911837 : Epoch 10, Batch    121, Loss  0.527905, Average Loss  0.531148, Time  0.459810
2021-09-07 08:02:01.766051 : Epoch 10, Batch    122, Loss  0.536595, Average Loss  0.531169, Time  0.459997
2021-09-07 08:02:03.611193 : Epoch 10, Batch    123, Loss  0.530553, Average Loss  0.531173, Time  0.459650
2021-09-07 08:02:05.453385 : Epoch 10, Batch    124, Loss  0.527140, Average Loss  0.531178, Time  0.458848
2021-09-07 08:02:07.288331 : Epoch 10, Batch    125, Loss  0.524295, Average Loss  0.531147, Time  0.459904
2021-09-07 08:02:09.125146 : Epoch 10, Batch    126, Loss  0.529930, Average Loss  0.531139, Time  0.459799
2021-09-07 08:02:10.954506 : Epoch 10, Batch    127, Loss  0.537418, Average Loss  0.531195, Time  0.459812
2021-09-07 08:02:12.782563 : Epoch 10, Batch    128, Loss  0.528547, Average Loss  0.531190, Time  0.459715
2021-09-07 08:02:14.614050 : Epoch 10, Batch    129, Loss  0.527094, Average Loss  0.531201, Time  0.459796
2021-09-07 08:02:16.443260 : Epoch 10, Batch    130, Loss  0.537906, Average Loss  0.531240, Time  0.459333
2021-09-07 08:02:18.282826 : Epoch 10, Batch    131, Loss  0.540357, Average Loss  0.531303, Time  0.460474
2021-09-07 08:02:20.136998 : Epoch 10, Batch    132, Loss  0.523902, Average Loss  0.531338, Time  0.460634
2021-09-07 08:02:21.969867 : Epoch 10, Batch    133, Loss  0.529952, Average Loss  0.531290, Time  0.459429
2021-09-07 08:02:23.807513 : Epoch 10, Batch    134, Loss  0.537525, Average Loss  0.531389, Time  0.460670
2021-09-07 08:02:25.656041 : Epoch 10, Batch    135, Loss  0.537491, Average Loss  0.531384, Time  0.460347
2021-09-07 08:02:27.496647 : Epoch 10, Batch    136, Loss  0.534313, Average Loss  0.531405, Time  0.459882
2021-09-07 08:02:29.343100 : Epoch 10, Batch    137, Loss  0.545567, Average Loss  0.531459, Time  0.460203
2021-09-07 08:02:31.183496 : Epoch 10, Batch    138, Loss  0.540559, Average Loss  0.531494, Time  0.459381
2021-09-07 08:02:33.033573 : Epoch 10, Batch    139, Loss  0.524722, Average Loss  0.531466, Time  0.460320
2021-09-07 08:02:34.870126 : Epoch 10, Batch    140, Loss  0.518669, Average Loss  0.531450, Time  0.459271
2021-09-07 08:02:36.700186 : Epoch 10, Batch    141, Loss  0.514869, Average Loss  0.531437, Time  0.459077
2021-09-07 08:02:38.530951 : Epoch 10, Batch    142, Loss  0.545549, Average Loss  0.531464, Time  0.460080
2021-09-07 08:02:40.374482 : Epoch 10, Batch    143, Loss  0.538383, Average Loss  0.531551, Time  0.459412
2021-09-07 08:02:42.217353 : Epoch 10, Batch    144, Loss  0.520739, Average Loss  0.531498, Time  0.459234
2021-09-07 08:02:44.046239 : Epoch 10, Batch    145, Loss  0.537891, Average Loss  0.531596, Time  0.459036
2021-09-07 08:02:45.900020 : Epoch 10, Batch    146, Loss  0.536348, Average Loss  0.531682, Time  0.459857
2021-09-07 08:02:47.729767 : Epoch 10, Batch    147, Loss  0.531119, Average Loss  0.531672, Time  0.460227
2021-09-07 08:02:49.566362 : Epoch 10, Batch    148, Loss  0.530017, Average Loss  0.531615, Time  0.460015
2021-09-07 08:02:51.417059 : Epoch 10, Batch    149, Loss  0.536064, Average Loss  0.531706, Time  0.460032
2021-09-07 08:02:53.254634 : Epoch 10, Batch    150, Loss  0.528685, Average Loss  0.531697, Time  0.459444
2021-09-07 08:02:55.087456 : Epoch 10, Batch    151, Loss  0.551045, Average Loss  0.531790, Time  0.459334
2021-09-07 08:02:56.940857 : Epoch 10, Batch    152, Loss  0.525731, Average Loss  0.531779, Time  0.459527
2021-09-07 08:02:58.767151 : Epoch 10, Batch    153, Loss  0.542117, Average Loss  0.531823, Time  0.459670
2021-09-07 08:03:00.598944 : Epoch 10, Batch    154, Loss  0.525406, Average Loss  0.531797, Time  0.459068
2021-09-07 08:03:02.428498 : Epoch 10, Batch    155, Loss  0.542649, Average Loss  0.531832, Time  0.459536
2021-09-07 08:03:04.267088 : Epoch 10, Batch    156, Loss  0.502524, Average Loss  0.531665, Time  0.459166
2021-09-07 08:03:06.115748 : Epoch 10, Batch    157, Loss  0.531954, Average Loss  0.531623, Time  0.460932
2021-09-07 08:03:07.944465 : Epoch 10, Batch    158, Loss  0.528027, Average Loss  0.531558, Time  0.459967
2021-09-07 08:03:09.801894 : Epoch 10, Batch    159, Loss  0.509856, Average Loss  0.531427, Time  0.460446
2021-09-07 08:03:11.654640 : Epoch 10, Batch    160, Loss  0.529994, Average Loss  0.531357, Time  0.459912
2021-09-07 08:03:13.496482 : Epoch 10, Batch    161, Loss  0.532599, Average Loss  0.531302, Time  0.459006
2021-09-07 08:03:15.338403 : Epoch 10, Batch    162, Loss  0.530234, Average Loss  0.531313, Time  0.462924
2021-09-07 08:03:17.185004 : Epoch 10, Batch    163, Loss  0.534565, Average Loss  0.531337, Time  0.459088
2021-09-07 08:03:19.017147 : Epoch 10, Batch    164, Loss  0.526190, Average Loss  0.531325, Time  0.459441
2021-09-07 08:03:20.854750 : Epoch 10, Batch    165, Loss  0.535884, Average Loss  0.531401, Time  0.459855
2021-09-07 08:03:22.709689 : Epoch 10, Batch    166, Loss  0.537492, Average Loss  0.531507, Time  0.460097
2021-09-07 08:03:24.562892 : Epoch 10, Batch    167, Loss  0.505497, Average Loss  0.531375, Time  0.460159
2021-09-07 08:03:26.415746 : Epoch 10, Batch    168, Loss  0.522040, Average Loss  0.531355, Time  0.459207
2021-09-07 08:03:28.250719 : Epoch 10, Batch    169, Loss  0.522126, Average Loss  0.531264, Time  0.459382
2021-09-07 08:03:30.094132 : Epoch 10, Batch    170, Loss  0.538253, Average Loss  0.531325, Time  0.459084
2021-09-07 08:03:31.929993 : Epoch 10, Batch    171, Loss  0.514406, Average Loss  0.531301, Time  0.458952
2021-09-07 08:03:33.765905 : Epoch 10, Batch    172, Loss  0.537530, Average Loss  0.531269, Time  0.459300
2021-09-07 08:03:35.620145 : Epoch 10, Batch    173, Loss  0.518356, Average Loss  0.531250, Time  0.459924
2021-09-07 08:03:37.473816 : Epoch 10, Batch    174, Loss  0.535962, Average Loss  0.531285, Time  0.459968
2021-09-07 08:03:39.328531 : Epoch 10, Batch    175, Loss  0.539775, Average Loss  0.531322, Time  0.460038
2021-09-07 08:03:41.166504 : Epoch 10, Batch    176, Loss  0.523534, Average Loss  0.531351, Time  0.459169
2021-09-07 08:03:43.021757 : Epoch 10, Batch    177, Loss  0.533977, Average Loss  0.531375, Time  0.460355
2021-09-07 08:03:44.873837 : Epoch 10, Batch    178, Loss  0.537609, Average Loss  0.531461, Time  0.460294
2021-09-07 08:03:46.718016 : Epoch 10, Batch    179, Loss  0.519336, Average Loss  0.531496, Time  0.459195
2021-09-07 08:03:48.557823 : Epoch 10, Batch    180, Loss  0.540016, Average Loss  0.531574, Time  0.459449
2021-09-07 08:03:50.400229 : Epoch 10, Batch    181, Loss  0.544893, Average Loss  0.531627, Time  0.459388
2021-09-07 08:03:52.237813 : Epoch 10, Batch    182, Loss  0.535303, Average Loss  0.531677, Time  0.460345
2021-09-07 08:03:54.077010 : Epoch 10, Batch    183, Loss  0.529184, Average Loss  0.531628, Time  0.460304
2021-09-07 08:03:55.942361 : Epoch 10, Batch    184, Loss  0.524522, Average Loss  0.531632, Time  0.459515
2021-09-07 08:03:57.779200 : Epoch 10, Batch    185, Loss  0.539041, Average Loss  0.531724, Time  0.461196
2021-09-07 08:03:59.646903 : Epoch 10, Batch    186, Loss  0.513793, Average Loss  0.531699, Time  0.460625
2021-09-07 08:04:01.500370 : Epoch 10, Batch    187, Loss  0.547061, Average Loss  0.531820, Time  0.460052
2021-09-07 08:04:05.075092 : Epoch 10, Batch    188, Loss  0.515334, Average Loss  0.531722, Time  0.470112
2021-09-07 08:04:06.929561 : Epoch 10, Batch    189, Loss  0.518754, Average Loss  0.531604, Time  0.458724
2021-09-07 08:04:08.769792 : Epoch 10, Batch    190, Loss  0.525141, Average Loss  0.531550, Time  0.459122
2021-09-07 08:04:10.608054 : Epoch 10, Batch    191, Loss  0.518586, Average Loss  0.531480, Time  0.459404
2021-09-07 08:04:12.440774 : Epoch 10, Batch    192, Loss  0.536679, Average Loss  0.531474, Time  0.458935
2021-09-07 08:04:14.274477 : Epoch 10, Batch    193, Loss  0.509316, Average Loss  0.531353, Time  0.459939
2021-09-07 08:04:16.123825 : Epoch 10, Batch    194, Loss  0.529280, Average Loss  0.531339, Time  0.459872
2021-09-07 08:04:17.981279 : Epoch 10, Batch    195, Loss  0.518263, Average Loss  0.531301, Time  0.460054
2021-09-07 08:04:19.838319 : Epoch 10, Batch    196, Loss  0.545393, Average Loss  0.531268, Time  0.461027
2021-09-07 08:04:21.684187 : Epoch 10, Batch    197, Loss  0.521792, Average Loss  0.531205, Time  0.459429
2021-09-07 08:04:23.526493 : Epoch 10, Batch    198, Loss  0.527149, Average Loss  0.531226, Time  0.459377
2021-09-07 08:04:25.382516 : Epoch 10, Batch    199, Loss  0.520604, Average Loss  0.531162, Time  0.460456
2021-09-07 08:04:27.237822 : Epoch 10, Batch    200, Loss  0.543358, Average Loss  0.531264, Time  0.458948
2021-09-07 08:04:29.095451 : Epoch 10, Batch    201, Loss  0.537030, Average Loss  0.531203, Time  0.460510
2021-09-07 08:04:30.940652 : Epoch 10, Batch    202, Loss  0.520802, Average Loss  0.531145, Time  0.459629
2021-09-07 08:04:32.786845 : Epoch 10, Batch    203, Loss  0.548675, Average Loss  0.531243, Time  0.459384
2021-09-07 08:04:34.621958 : Epoch 10, Batch    204, Loss  0.533504, Average Loss  0.531283, Time  0.460067
2021-09-07 08:04:36.496053 : Epoch 10, Batch    205, Loss  0.534377, Average Loss  0.531293, Time  0.461560
2021-09-07 08:04:38.345326 : Epoch 10, Batch    206, Loss  0.522576, Average Loss  0.531297, Time  0.459552
2021-09-07 08:04:40.194949 : Epoch 10, Batch    207, Loss  0.539068, Average Loss  0.531325, Time  0.460576
2021-09-07 08:04:42.058707 : Epoch 10, Batch    208, Loss  0.542524, Average Loss  0.531363, Time  0.460026
2021-09-07 08:04:43.898623 : Epoch 10, Batch    209, Loss  0.524692, Average Loss  0.531304, Time  0.459696
2021-09-07 08:04:45.745964 : Epoch 10, Batch    210, Loss  0.534142, Average Loss  0.531352, Time  0.459351
2021-09-07 08:04:47.589023 : Epoch 10, Batch    211, Loss  0.547084, Average Loss  0.531451, Time  0.459076
2021-09-07 08:04:49.427922 : Epoch 10, Batch    212, Loss  0.537970, Average Loss  0.531502, Time  0.460785
2021-09-07 08:04:51.296450 : Epoch 10, Batch    213, Loss  0.525879, Average Loss  0.531523, Time  0.460006
2021-09-07 08:04:53.152068 : Epoch 10, Batch    214, Loss  0.525647, Average Loss  0.531477, Time  0.459564
2021-09-07 08:04:54.997973 : Epoch 10, Batch    215, Loss  0.521146, Average Loss  0.531453, Time  0.459939
2021-09-07 08:04:56.844833 : Epoch 10, Batch    216, Loss  0.537035, Average Loss  0.531487, Time  0.459362
2021-09-07 08:04:58.676534 : Epoch 10, Batch    217, Loss  0.535482, Average Loss  0.531580, Time  0.459625
2021-09-07 08:06:01.512050 : CheckPoint: Validation Loss  0.00022017, Best Loss  0.00021135
2021-09-07 08:06:03.364439 : Epoch 10, Batch    218, Loss  0.534016, Average Loss  0.531522, Time  0.461169
2021-09-07 08:06:05.217637 : Epoch 10, Batch    219, Loss  0.535577, Average Loss  0.531563, Time  0.460574
2021-09-07 08:06:07.074856 : Epoch 10, Batch    220, Loss  0.524541, Average Loss  0.531553, Time  0.458979
2021-09-07 08:06:08.919251 : Epoch 10, Batch    221, Loss  0.528351, Average Loss  0.531457, Time  0.459924
2021-09-07 08:06:10.772858 : Epoch 10, Batch    222, Loss  0.533895, Average Loss  0.531426, Time  0.459344
2021-09-07 08:06:12.618177 : Epoch 10, Batch    223, Loss  0.539729, Average Loss  0.531464, Time  0.459354
2021-09-07 08:06:14.465642 : Epoch 10, Batch    224, Loss  0.524296, Average Loss  0.531403, Time  0.459340
2021-09-07 08:06:16.304630 : Epoch 10, Batch    225, Loss  0.539077, Average Loss  0.531484, Time  0.458897
2021-09-07 08:06:18.157121 : Epoch 10, Batch    226, Loss  0.524563, Average Loss  0.531482, Time  0.459263
2021-09-07 08:06:19.995070 : Epoch 10, Batch    227, Loss  0.523626, Average Loss  0.531461, Time  0.459891
2021-09-07 08:06:21.839227 : Epoch 10, Batch    228, Loss  0.526392, Average Loss  0.531354, Time  0.460398
2021-09-07 08:06:23.692518 : Epoch 10, Batch    229, Loss  0.520276, Average Loss  0.531324, Time  0.459878
2021-09-07 08:06:25.532382 : Epoch 10, Batch    230, Loss  0.549449, Average Loss  0.531419, Time  0.459665
2021-09-07 08:06:27.377184 : Epoch 10, Batch    231, Loss  0.525336, Average Loss  0.531394, Time  0.459922
2021-09-07 08:06:29.240693 : Epoch 10, Batch    232, Loss  0.520719, Average Loss  0.531369, Time  0.459841
2021-09-07 08:06:31.078793 : Epoch 10, Batch    233, Loss  0.536395, Average Loss  0.531393, Time  0.460391
2021-09-07 08:06:32.926181 : Epoch 10, Batch    234, Loss  0.534181, Average Loss  0.531422, Time  0.459199
2021-09-07 08:06:34.765928 : Epoch 10, Batch    235, Loss  0.520960, Average Loss  0.531358, Time  0.459316
2021-09-07 08:06:36.615725 : Epoch 10, Batch    236, Loss  0.539853, Average Loss  0.531406, Time  0.460127
2021-09-07 08:06:38.464638 : Epoch 10, Batch    237, Loss  0.530883, Average Loss  0.531421, Time  0.459643
2021-09-07 08:06:40.302279 : Epoch 10, Batch    238, Loss  0.521837, Average Loss  0.531344, Time  0.459570
2021-09-07 08:06:42.140522 : Epoch 10, Batch    239, Loss  0.531519, Average Loss  0.531378, Time  0.458895
2021-09-07 08:06:43.992479 : Epoch 10, Batch    240, Loss  0.538451, Average Loss  0.531482, Time  0.460108
2021-09-07 08:06:45.846734 : Epoch 10, Batch    241, Loss  0.536297, Average Loss  0.531516, Time  0.459448
2021-09-07 08:06:47.683760 : Epoch 10, Batch    242, Loss  0.528794, Average Loss  0.531521, Time  0.459207
2021-09-07 08:06:49.528314 : Epoch 10, Batch    243, Loss  0.519618, Average Loss  0.531430, Time  0.459976
2021-09-07 08:06:51.374982 : Epoch 10, Batch    244, Loss  0.531386, Average Loss  0.531439, Time  0.459356
2021-09-07 08:06:53.239077 : Epoch 10, Batch    245, Loss  0.529985, Average Loss  0.531402, Time  0.460404
2021-09-07 08:06:55.095095 : Epoch 10, Batch    246, Loss  0.529370, Average Loss  0.531419, Time  0.459742
2021-09-07 08:06:56.940276 : Epoch 10, Batch    247, Loss  0.526928, Average Loss  0.531393, Time  0.459329
2021-09-07 08:06:58.792810 : Epoch 10, Batch    248, Loss  0.524218, Average Loss  0.531344, Time  0.460045
2021-09-07 08:07:00.652204 : Epoch 10, Batch    249, Loss  0.537573, Average Loss  0.531385, Time  0.460719
2021-09-07 08:07:02.513144 : Epoch 10, Batch    250, Loss  0.513254, Average Loss  0.531236, Time  0.459993
2021-09-07 08:07:04.354158 : Epoch 10, Batch    251, Loss  0.531024, Average Loss  0.531284, Time  0.459869
2021-09-07 08:07:06.208505 : Epoch 10, Batch    252, Loss  0.528946, Average Loss  0.531180, Time  0.459347
2021-09-07 08:07:08.047272 : Epoch 10, Batch    253, Loss  0.543062, Average Loss  0.531203, Time  0.460188
2021-09-07 08:07:09.903713 : Epoch 10, Batch    254, Loss  0.523215, Average Loss  0.531181, Time  0.459982
2021-09-07 08:07:11.749379 : Epoch 10, Batch    255, Loss  0.527164, Average Loss  0.531148, Time  0.459139
2021-09-07 08:07:13.593873 : Epoch 10, Batch    256, Loss  0.536222, Average Loss  0.531184, Time  0.460893
2021-09-07 08:07:15.429318 : Epoch 10, Batch    257, Loss  0.535893, Average Loss  0.531258, Time  0.459022
2021-09-07 08:07:17.283166 : Epoch 10, Batch    258, Loss  0.519441, Average Loss  0.531213, Time  0.460372
2021-09-07 08:07:19.142831 : Epoch 10, Batch    259, Loss  0.544006, Average Loss  0.531429, Time  0.460181
2021-09-07 08:07:21.004672 : Epoch 10, Batch    260, Loss  0.527284, Average Loss  0.531400, Time  0.459220
2021-09-07 08:07:22.843088 : Epoch 10, Batch    261, Loss  0.534304, Average Loss  0.531493, Time  0.460416
2021-09-07 08:07:24.693354 : Epoch 10, Batch    262, Loss  0.535899, Average Loss  0.531577, Time  0.459133
2021-09-07 08:07:26.535222 : Epoch 10, Batch    263, Loss  0.510622, Average Loss  0.531468, Time  0.460639
2021-09-07 08:07:28.392592 : Epoch 10, Batch    264, Loss  0.527570, Average Loss  0.531452, Time  0.458978
2021-09-07 08:07:30.234506 : Epoch 10, Batch    265, Loss  0.528524, Average Loss  0.531447, Time  0.459924
2021-09-07 08:07:32.082924 : Epoch 10, Batch    266, Loss  0.512128, Average Loss  0.531491, Time  0.460378
2021-09-07 08:07:33.920187 : Epoch 10, Batch    267, Loss  0.533892, Average Loss  0.530891, Time  0.459620
2021-09-07 08:07:35.772071 : Epoch 10, Batch    268, Loss  0.524739, Average Loss  0.530848, Time  0.459974
2021-09-07 08:07:37.627885 : Epoch 10, Batch    269, Loss  0.521864, Average Loss  0.530765, Time  0.459620
2021-09-07 08:07:39.468236 : Epoch 10, Batch    270, Loss  0.528471, Average Loss  0.530767, Time  0.459449
2021-09-07 08:07:41.299964 : Epoch 10, Batch    271, Loss  0.533379, Average Loss  0.530746, Time  0.459897
2021-09-07 08:07:43.133165 : Epoch 10, Batch    272, Loss  0.527220, Average Loss  0.530637, Time  0.459629
2021-09-07 08:07:45.006113 : Epoch 10, Batch    273, Loss  0.529364, Average Loss  0.530599, Time  0.459809
2021-09-07 08:07:46.852501 : Epoch 10, Batch    274, Loss  0.522391, Average Loss  0.530571, Time  0.460383
2021-09-07 08:07:48.702879 : Epoch 10, Batch    275, Loss  0.527514, Average Loss  0.530484, Time  0.458871
2021-09-07 08:07:50.527735 : Epoch 10, Batch    276, Loss  0.534368, Average Loss  0.530474, Time  0.459408
2021-09-07 08:07:52.377071 : Epoch 10, Batch    277, Loss  0.536330, Average Loss  0.530413, Time  0.460447
2021-09-07 08:07:54.221876 : Epoch 10, Batch    278, Loss  0.529676, Average Loss  0.530464, Time  0.460216
2021-09-07 08:07:56.064947 : Epoch 10, Batch    279, Loss  0.515781, Average Loss  0.530412, Time  0.459253
2021-09-07 08:07:57.913387 : Epoch 10, Batch    280, Loss  0.519800, Average Loss  0.530359, Time  0.459813
2021-09-07 08:07:59.753835 : Epoch 10, Batch    281, Loss  0.533343, Average Loss  0.530310, Time  0.460080
2021-09-07 08:08:01.599989 : Epoch 10, Batch    282, Loss  0.522446, Average Loss  0.530293, Time  0.459552
2021-09-07 08:08:03.437292 : Epoch 10, Batch    283, Loss  0.519248, Average Loss  0.530211, Time  0.461761
2021-09-07 08:08:05.314732 : Epoch 10, Batch    284, Loss  0.537062, Average Loss  0.530264, Time  0.460249
2021-09-07 08:08:07.169199 : Epoch 10, Batch    285, Loss  0.522462, Average Loss  0.530195, Time  0.460752
2021-09-07 08:08:09.008521 : Epoch 10, Batch    286, Loss  0.525949, Average Loss  0.530167, Time  0.459521
2021-09-07 08:08:10.864174 : Epoch 10, Batch    287, Loss  0.527742, Average Loss  0.530127, Time  0.459516
2021-09-07 08:08:14.430825 : Epoch 10, Batch    288, Loss  0.529357, Average Loss  0.530080, Time  0.467704
2021-09-07 08:08:16.325702 : Epoch 10, Batch    289, Loss  0.542314, Average Loss  0.530061, Time  0.459825
2021-09-07 08:08:18.168968 : Epoch 10, Batch    290, Loss  0.533182, Average Loss  0.530043, Time  0.459226
2021-09-07 08:08:20.027396 : Epoch 10, Batch    291, Loss  0.528409, Average Loss  0.529983, Time  0.460414
2021-09-07 08:08:21.878030 : Epoch 10, Batch    292, Loss  0.518576, Average Loss  0.529909, Time  0.460298
2021-09-07 08:08:23.721191 : Epoch 10, Batch    293, Loss  0.538132, Average Loss  0.529957, Time  0.459435
2021-09-07 08:08:25.582159 : Epoch 10, Batch    294, Loss  0.524739, Average Loss  0.530001, Time  0.459549
2021-09-07 08:08:27.421690 : Epoch 10, Batch    295, Loss  0.536709, Average Loss  0.530085, Time  0.460458
2021-09-07 08:08:29.281955 : Epoch 10, Batch    296, Loss  0.516383, Average Loss  0.529998, Time  0.460095
2021-09-07 08:08:31.142924 : Epoch 10, Batch    297, Loss  0.533289, Average Loss  0.529953, Time  0.460454
2021-09-07 08:08:33.005337 : Epoch 10, Batch    298, Loss  0.537390, Average Loss  0.529945, Time  0.460422
2021-09-07 08:08:34.873821 : Epoch 10, Batch    299, Loss  0.534433, Average Loss  0.529998, Time  0.459622
2021-09-07 08:08:36.713521 : Epoch 10, Batch    300, Loss  0.531626, Average Loss  0.529964, Time  0.459529
2021-09-07 08:08:38.554327 : Epoch 10, Batch    301, Loss  0.520903, Average Loss  0.529910, Time  0.459763
2021-09-07 08:08:40.402965 : Epoch 10, Batch    302, Loss  0.533280, Average Loss  0.529850, Time  0.460431
2021-09-07 08:08:42.246253 : Epoch 10, Batch    303, Loss  0.546278, Average Loss  0.529961, Time  0.460431
2021-09-07 08:08:44.094018 : Epoch 10, Batch    304, Loss  0.532352, Average Loss  0.529987, Time  0.459558
2021-09-07 08:08:45.948692 : Epoch 10, Batch    305, Loss  0.520445, Average Loss  0.529971, Time  0.459327
2021-09-07 08:08:47.783998 : Epoch 10, Batch    306, Loss  0.510777, Average Loss  0.529865, Time  0.460325
2021-09-07 08:08:49.627786 : Epoch 10, Batch    307, Loss  0.528858, Average Loss  0.529850, Time  0.458958
2021-09-07 08:08:51.468319 : Epoch 10, Batch    308, Loss  0.522107, Average Loss  0.529856, Time  0.459573
2021-09-07 08:08:53.303164 : Epoch 10, Batch    309, Loss  0.525190, Average Loss  0.529904, Time  0.459882
2021-09-07 08:08:55.164576 : Epoch 10, Batch    310, Loss  0.543422, Average Loss  0.529952, Time  0.460705
2021-09-07 08:08:57.019763 : Epoch 10, Batch    311, Loss  0.533644, Average Loss  0.529933, Time  0.459086
2021-09-07 08:08:58.861292 : Epoch 10, Batch    312, Loss  0.522977, Average Loss  0.529875, Time  0.460209
2021-09-07 08:09:00.715719 : Epoch 10, Batch    313, Loss  0.545647, Average Loss  0.529984, Time  0.460593
2021-09-07 08:09:02.567240 : Epoch 10, Batch    314, Loss  0.549284, Average Loss  0.530105, Time  0.459897
2021-09-07 08:09:04.412608 : Epoch 10, Batch    315, Loss  0.509223, Average Loss  0.530000, Time  0.460711
2021-09-07 08:09:06.269789 : Epoch 10, Batch    316, Loss  0.525400, Average Loss  0.529952, Time  0.460452
2021-09-07 08:09:08.127324 : Epoch 10, Batch    317, Loss  0.533261, Average Loss  0.529963, Time  0.460135
2021-09-07 08:10:11.076840 : CheckPoint: Validation Loss  0.00021173, Best Loss  0.00021135
2021-09-07 08:10:12.919986 : Epoch 10, Batch    318, Loss  0.527973, Average Loss  0.529968, Time  0.458913
2021-09-07 08:10:14.758787 : Epoch 10, Batch    319, Loss  0.518791, Average Loss  0.529845, Time  0.459011
2021-09-07 08:10:16.601030 : Epoch 10, Batch    320, Loss  0.543395, Average Loss  0.529917, Time  0.459925
2021-09-07 08:10:18.487948 : Epoch 10, Batch    321, Loss  0.517405, Average Loss  0.529864, Time  0.462556
2021-09-07 08:10:20.336057 : Epoch 10, Batch    322, Loss  0.525609, Average Loss  0.529809, Time  0.459359
2021-09-07 08:10:22.179863 : Epoch 10, Batch    323, Loss  0.539388, Average Loss  0.529853, Time  0.460039
2021-09-07 08:10:24.030367 : Epoch 10, Batch    324, Loss  0.531144, Average Loss  0.529873, Time  0.458820
2021-09-07 08:10:25.870364 : Epoch 10, Batch    325, Loss  0.550856, Average Loss  0.530006, Time  0.459902
2021-09-07 08:10:27.715882 : Epoch 10, Batch    326, Loss  0.528707, Average Loss  0.530000, Time  0.458778
2021-09-07 08:10:29.561591 : Epoch 10, Batch    327, Loss  0.522395, Average Loss  0.529925, Time  0.459679
2021-09-07 08:10:31.402642 : Epoch 10, Batch    328, Loss  0.536089, Average Loss  0.529963, Time  0.458795
2021-09-07 08:10:33.246426 : Epoch 10, Batch    329, Loss  0.529518, Average Loss  0.529975, Time  0.459970
2021-09-07 08:10:35.111062 : Epoch 10, Batch    330, Loss  0.533268, Average Loss  0.529952, Time  0.459755
2021-09-07 08:10:36.965278 : Epoch 10, Batch    331, Loss  0.523363, Average Loss  0.529867, Time  0.460240
2021-09-07 08:10:38.808298 : Epoch 10, Batch    332, Loss  0.521549, Average Loss  0.529855, Time  0.459538
2021-09-07 08:10:40.648210 : Epoch 10, Batch    333, Loss  0.516701, Average Loss  0.529789, Time  0.459180
2021-09-07 08:10:42.487113 : Epoch 10, Batch    334, Loss  0.532609, Average Loss  0.529764, Time  0.459045
2021-09-07 08:10:44.332788 : Epoch 10, Batch    335, Loss  0.530395, Average Loss  0.529728, Time  0.460741
2021-09-07 08:10:46.196788 : Epoch 10, Batch    336, Loss  0.519625, Average Loss  0.529655, Time  0.460035
2021-09-07 08:10:48.034480 : Epoch 10, Batch    337, Loss  0.534858, Average Loss  0.529601, Time  0.460197
2021-09-07 08:10:49.875735 : Epoch 10, Batch    338, Loss  0.524382, Average Loss  0.529521, Time  0.459317
2021-09-07 08:10:51.714068 : Epoch 10, Batch    339, Loss  0.537204, Average Loss  0.529583, Time  0.459160
2021-09-07 08:10:53.560555 : Epoch 10, Batch    340, Loss  0.538931, Average Loss  0.529684, Time  0.459605
2021-09-07 08:10:55.404499 : Epoch 10, Batch    341, Loss  0.536992, Average Loss  0.529795, Time  0.459089
2021-09-07 08:10:57.244180 : Epoch 10, Batch    342, Loss  0.539340, Average Loss  0.529764, Time  0.458921
2021-09-07 08:10:59.092861 : Epoch 10, Batch    343, Loss  0.535005, Average Loss  0.529747, Time  0.459894
2021-09-07 08:11:00.952081 : Epoch 10, Batch    344, Loss  0.524361, Average Loss  0.529765, Time  0.459902
2021-09-07 08:11:02.809071 : Epoch 10, Batch    345, Loss  0.524101, Average Loss  0.529696, Time  0.459945
2021-09-07 08:11:04.656285 : Epoch 10, Batch    346, Loss  0.529923, Average Loss  0.529664, Time  0.459116
2021-09-07 08:11:06.499863 : Epoch 10, Batch    347, Loss  0.531863, Average Loss  0.529668, Time  0.459534
2021-09-07 08:11:08.341364 : Epoch 10, Batch    348, Loss  0.531390, Average Loss  0.529675, Time  0.460104
2021-09-07 08:11:10.189634 : Epoch 10, Batch    349, Loss  0.520494, Average Loss  0.529597, Time  0.459403
2021-09-07 08:11:12.037864 : Epoch 10, Batch    350, Loss  0.549219, Average Loss  0.529699, Time  0.461031
2021-09-07 08:11:13.896939 : Epoch 10, Batch    351, Loss  0.536324, Average Loss  0.529626, Time  0.460439
2021-09-07 08:11:15.750147 : Epoch 10, Batch    352, Loss  0.546254, Average Loss  0.529728, Time  0.459250
2021-09-07 08:11:17.598549 : Epoch 10, Batch    353, Loss  0.529137, Average Loss  0.529664, Time  0.459572
2021-09-07 08:11:19.435136 : Epoch 10, Batch    354, Loss  0.521965, Average Loss  0.529646, Time  0.460469
2021-09-07 08:11:21.277987 : Epoch 10, Batch    355, Loss  0.519872, Average Loss  0.529532, Time  0.459937
2021-09-07 08:11:23.133991 : Epoch 10, Batch    356, Loss  0.531689, Average Loss  0.529678, Time  0.459888
2021-09-07 08:11:24.974956 : Epoch 10, Batch    357, Loss  0.520964, Average Loss  0.529623, Time  0.459219
2021-09-07 08:11:26.810552 : Epoch 10, Batch    358, Loss  0.544506, Average Loss  0.529706, Time  0.459407
2021-09-07 08:11:28.646144 : Epoch 10, Batch    359, Loss  0.525060, Average Loss  0.529782, Time  0.459112
2021-09-07 08:11:30.487537 : Epoch 10, Batch    360, Loss  0.522805, Average Loss  0.529746, Time  0.459967
2021-09-07 08:11:32.344785 : Epoch 10, Batch    361, Loss  0.524292, Average Loss  0.529704, Time  0.460207
2021-09-07 08:11:34.203593 : Epoch 10, Batch    362, Loss  0.519510, Average Loss  0.529651, Time  0.459285
2021-09-07 08:11:36.052774 : Epoch 10, Batch    363, Loss  0.520984, Average Loss  0.529583, Time  0.459603
2021-09-07 08:11:37.891637 : Epoch 10, Batch    364, Loss  0.533621, Average Loss  0.529620, Time  0.459928
2021-09-07 08:11:39.746381 : Epoch 10, Batch    365, Loss  0.519967, Average Loss  0.529540, Time  0.459523
2021-09-07 08:11:41.606514 : Epoch 10, Batch    366, Loss  0.537884, Average Loss  0.529542, Time  0.458975
2021-09-07 08:11:43.480470 : Epoch 10, Batch    367, Loss  0.525392, Average Loss  0.529642, Time  0.461988
2021-09-07 08:11:45.359103 : Epoch 10, Batch    368, Loss  0.534220, Average Loss  0.529703, Time  0.460819
2021-09-07 08:11:47.204406 : Epoch 10, Batch    369, Loss  0.531106, Average Loss  0.529748, Time  0.460344
2021-09-07 08:11:49.046558 : Epoch 10, Batch    370, Loss  0.518816, Average Loss  0.529650, Time  0.460219
2021-09-07 08:11:50.924013 : Epoch 10, Batch    371, Loss  0.533131, Average Loss  0.529744, Time  0.459938
2021-09-07 08:11:52.776629 : Epoch 10, Batch    372, Loss  0.521492, Average Loss  0.529664, Time  0.459213
2021-09-07 08:11:54.617463 : Epoch 10, Batch    373, Loss  0.512877, Average Loss  0.529636, Time  0.459660
2021-09-07 08:11:56.453457 : Epoch 10, Batch    374, Loss  0.526264, Average Loss  0.529588, Time  0.460695
2021-09-07 08:11:58.282308 : Epoch 10, Batch    375, Loss  0.530586, Average Loss  0.529542, Time  0.459152
2021-09-07 08:12:00.148854 : Epoch 10, Batch    376, Loss  0.539162, Average Loss  0.529620, Time  0.461287
2021-09-07 08:12:02.000654 : Epoch 10, Batch    377, Loss  0.525453, Average Loss  0.529577, Time  0.459144
2021-09-07 08:12:03.854984 : Epoch 10, Batch    378, Loss  0.516225, Average Loss  0.529471, Time  0.460486
2021-09-07 08:12:05.698346 : Epoch 10, Batch    379, Loss  0.524647, Average Loss  0.529497, Time  0.460854
2021-09-07 08:12:07.557226 : Epoch 10, Batch    380, Loss  0.517610, Average Loss  0.529385, Time  0.459944
2021-09-07 08:12:09.410233 : Epoch 10, Batch    381, Loss  0.516178, Average Loss  0.529242, Time  0.460426
2021-09-07 08:12:11.284251 : Epoch 10, Batch    382, Loss  0.545318, Average Loss  0.529292, Time  0.459223
2021-09-07 08:12:13.131545 : Epoch 10, Batch    383, Loss  0.528145, Average Loss  0.529286, Time  0.461574
2021-09-07 08:12:14.993670 : Epoch 10, Batch    384, Loss  0.519584, Average Loss  0.529262, Time  0.460652
2021-09-07 08:12:16.832860 : Epoch 10, Batch    385, Loss  0.521441, Average Loss  0.529174, Time  0.459463
2021-09-07 08:12:18.666086 : Epoch 10, Batch    386, Loss  0.534911, Average Loss  0.529279, Time  0.459152
2021-09-07 08:12:20.496402 : Epoch 10, Batch    387, Loss  0.527065, Average Loss  0.529179, Time  0.459491
2021-09-07 08:12:24.057565 : Epoch 10, Batch    388, Loss  0.545728, Average Loss  0.529331, Time  0.470205
2021-09-07 08:12:25.901322 : Epoch 10, Batch    389, Loss  0.530337, Average Loss  0.529389, Time  0.459935
2021-09-07 08:12:27.730571 : Epoch 10, Batch    390, Loss  0.526500, Average Loss  0.529396, Time  0.459193
2021-09-07 08:12:29.569161 : Epoch 10, Batch    391, Loss  0.529820, Average Loss  0.529452, Time  0.460119
2021-09-07 08:12:31.424697 : Epoch 10, Batch    392, Loss  0.518758, Average Loss  0.529363, Time  0.459126
2021-09-07 08:12:33.272293 : Epoch 10, Batch    393, Loss  0.531321, Average Loss  0.529473, Time  0.460645
2021-09-07 08:12:35.111847 : Epoch 10, Batch    394, Loss  0.532740, Average Loss  0.529490, Time  0.459902
2021-09-07 08:12:36.961978 : Epoch 10, Batch    395, Loss  0.527574, Average Loss  0.529536, Time  0.460112
2021-09-07 08:12:38.812819 : Epoch 10, Batch    396, Loss  0.533314, Average Loss  0.529476, Time  0.458492
2021-09-07 08:12:40.647518 : Epoch 10, Batch    397, Loss  0.518264, Average Loss  0.529458, Time  0.459372
2021-09-07 08:12:42.486267 : Epoch 10, Batch    398, Loss  0.523266, Average Loss  0.529439, Time  0.460098
2021-09-07 08:12:44.323910 : Epoch 10, Batch    399, Loss  0.535143, Average Loss  0.529512, Time  0.463119
2021-09-07 08:12:46.192627 : Epoch 10, Batch    400, Loss  0.533421, Average Loss  0.529462, Time  0.459544
2021-09-07 08:12:48.028214 : Epoch 10, Batch    401, Loss  0.521197, Average Loss  0.529383, Time  0.458786
2021-09-07 08:12:49.880222 : Epoch 10, Batch    402, Loss  0.534249, Average Loss  0.529450, Time  0.459915
2021-09-07 08:12:51.717438 : Epoch 10, Batch    403, Loss  0.526952, Average Loss  0.529341, Time  0.460054
2021-09-07 08:12:53.558821 : Epoch 10, Batch    404, Loss  0.525697, Average Loss  0.529302, Time  0.459817
2021-09-07 08:12:55.407774 : Epoch 10, Batch    405, Loss  0.522445, Average Loss  0.529243, Time  0.460556
2021-09-07 08:12:57.243392 : Epoch 10, Batch    406, Loss  0.511813, Average Loss  0.529189, Time  0.459109
2021-09-07 08:12:59.075440 : Epoch 10, Batch    407, Loss  0.521032, Average Loss  0.529099, Time  0.459255
2021-09-07 08:13:00.905400 : Epoch 10, Batch    408, Loss  0.539335, Average Loss  0.529083, Time  0.459558
2021-09-07 08:13:02.767009 : Epoch 10, Batch    409, Loss  0.525622, Average Loss  0.529087, Time  0.460498
2021-09-07 08:13:04.631065 : Epoch 10, Batch    410, Loss  0.532736, Average Loss  0.529080, Time  0.461731
2021-09-07 08:13:06.503000 : Epoch 10, Batch    411, Loss  0.538796, Average Loss  0.529039, Time  0.459505
2021-09-07 08:13:08.334268 : Epoch 10, Batch    412, Loss  0.520959, Average Loss  0.528954, Time  0.459971
2021-09-07 08:13:10.182292 : Epoch 10, Batch    413, Loss  0.528989, Average Loss  0.528969, Time  0.459665
2021-09-07 08:13:12.013767 : Epoch 10, Batch    414, Loss  0.534662, Average Loss  0.529015, Time  0.459558
2021-09-07 08:13:13.849320 : Epoch 10, Batch    415, Loss  0.516650, Average Loss  0.528992, Time  0.460624
2021-09-07 08:13:15.718243 : Epoch 10, Batch    416, Loss  0.542977, Average Loss  0.529022, Time  0.459393
2021-09-07 08:13:17.554403 : Epoch 10, Batch    417, Loss  0.535100, Average Loss  0.529020, Time  0.459029
2021-09-07 08:14:20.283964 : CheckPoint: Validation Loss  0.00021321, Best Loss  0.00021135
2021-09-07 08:14:22.130519 : Epoch 10, Batch    418, Loss  0.530338, Average Loss  0.529001, Time  0.458790
2021-09-07 08:14:23.965644 : Epoch 10, Batch    419, Loss  0.547907, Average Loss  0.529063, Time  0.461260
2021-09-07 08:14:25.830079 : Epoch 10, Batch    420, Loss  0.531345, Average Loss  0.529097, Time  0.459810
2021-09-07 08:14:27.679113 : Epoch 10, Batch    421, Loss  0.537697, Average Loss  0.529144, Time  0.459424
2021-09-07 08:14:29.519230 : Epoch 10, Batch    422, Loss  0.532023, Average Loss  0.529135, Time  0.459878
2021-09-07 08:14:31.380095 : Epoch 10, Batch    423, Loss  0.541437, Average Loss  0.529143, Time  0.459459
2021-09-07 08:14:33.216475 : Epoch 10, Batch    424, Loss  0.528719, Average Loss  0.529165, Time  0.459611
2021-09-07 08:14:35.058831 : Epoch 10, Batch    425, Loss  0.542112, Average Loss  0.529180, Time  0.460108
2021-09-07 08:14:36.914871 : Epoch 10, Batch    426, Loss  0.523549, Average Loss  0.529175, Time  0.459691
2021-09-07 08:14:38.771111 : Epoch 10, Batch    427, Loss  0.528167, Average Loss  0.529198, Time  0.459316
2021-09-07 08:14:40.609262 : Epoch 10, Batch    428, Loss  0.512711, Average Loss  0.529130, Time  0.460764
2021-09-07 08:14:42.453115 : Epoch 10, Batch    429, Loss  0.524215, Average Loss  0.529149, Time  0.459462
2021-09-07 08:14:44.288038 : Epoch 10, Batch    430, Loss  0.520724, Average Loss  0.529006, Time  0.459596
2021-09-07 08:14:46.126189 : Epoch 10, Batch    431, Loss  0.543079, Average Loss  0.529094, Time  0.460307
2021-09-07 08:14:47.984058 : Epoch 10, Batch    432, Loss  0.523196, Average Loss  0.529107, Time  0.459725
2021-09-07 08:14:49.836057 : Epoch 10, Batch    433, Loss  0.533395, Average Loss  0.529092, Time  0.460886
2021-09-07 08:14:51.686433 : Epoch 10, Batch    434, Loss  0.519439, Average Loss  0.529018, Time  0.460201
2021-09-07 08:14:53.553835 : Epoch 10, Batch    435, Loss  0.533269, Average Loss  0.529080, Time  0.459800
2021-09-07 08:14:55.405573 : Epoch 10, Batch    436, Loss  0.522938, Average Loss  0.528995, Time  0.458975
2021-09-07 08:14:57.272296 : Epoch 10, Batch    437, Loss  0.534061, Average Loss  0.529011, Time  0.459318
2021-09-07 08:14:59.114130 : Epoch 10, Batch    438, Loss  0.521385, Average Loss  0.529009, Time  0.459478
2021-09-07 08:15:00.953648 : Epoch 10, Batch    439, Loss  0.532080, Average Loss  0.529011, Time  0.459286
2021-09-07 08:15:02.802800 : Epoch 10, Batch    440, Loss  0.535886, Average Loss  0.528999, Time  0.459333
2021-09-07 08:15:04.650333 : Epoch 10, Batch    441, Loss  0.523358, Average Loss  0.528934, Time  0.460507
2021-09-07 08:15:06.493151 : Epoch 10, Batch    442, Loss  0.523878, Average Loss  0.528909, Time  0.459490
2021-09-07 08:15:08.336932 : Epoch 10, Batch    443, Loss  0.532734, Average Loss  0.528975, Time  0.459672
2021-09-07 08:15:10.178403 : Epoch 10, Batch    444, Loss  0.527108, Average Loss  0.528954, Time  0.459087
2021-09-07 08:15:12.017107 : Epoch 10, Batch    445, Loss  0.529415, Average Loss  0.528951, Time  0.460054
2021-09-07 08:15:13.857113 : Epoch 10, Batch    446, Loss  0.529223, Average Loss  0.528950, Time  0.459542
2021-09-07 08:15:15.713520 : Epoch 10, Batch    447, Loss  0.521942, Average Loss  0.528925, Time  0.460334
2021-09-07 08:15:17.572516 : Epoch 10, Batch    448, Loss  0.537591, Average Loss  0.528992, Time  0.460172
2021-09-07 08:15:19.425314 : Epoch 10, Batch    449, Loss  0.543799, Average Loss  0.529023, Time  0.459540
2021-09-07 08:15:21.272011 : Epoch 10, Batch    450, Loss  0.523688, Average Loss  0.529075, Time  0.460120
2021-09-07 08:15:23.120552 : Epoch 10, Batch    451, Loss  0.534888, Average Loss  0.529095, Time  0.458985
2021-09-07 08:15:24.956178 : Epoch 10, Batch    452, Loss  0.525758, Average Loss  0.529079, Time  0.459342
2021-09-07 08:15:26.807101 : Epoch 10, Batch    453, Loss  0.524350, Average Loss  0.528985, Time  0.461085
2021-09-07 08:15:28.644177 : Epoch 10, Batch    454, Loss  0.524599, Average Loss  0.528992, Time  0.459960
2021-09-07 08:15:30.493428 : Epoch 10, Batch    455, Loss  0.539891, Average Loss  0.529056, Time  0.460066
2021-09-07 08:15:32.351169 : Epoch 10, Batch    456, Loss  0.530300, Average Loss  0.529026, Time  0.459437
2021-09-07 08:15:34.187797 : Epoch 10, Batch    457, Loss  0.542135, Average Loss  0.529057, Time  0.459512
2021-09-07 08:15:36.038219 : Epoch 10, Batch    458, Loss  0.531693, Average Loss  0.529118, Time  0.461331
2021-09-07 08:15:37.882900 : Epoch 10, Batch    459, Loss  0.526607, Average Loss  0.529031, Time  0.459030
2021-09-07 08:15:39.717092 : Epoch 10, Batch    460, Loss  0.529733, Average Loss  0.529044, Time  0.459180
2021-09-07 08:15:41.548846 : Epoch 10, Batch    461, Loss  0.520647, Average Loss  0.528975, Time  0.459227
2021-09-07 08:15:43.382162 : Epoch 10, Batch    462, Loss  0.526368, Average Loss  0.528928, Time  0.458596
2021-09-07 08:15:45.214055 : Epoch 10, Batch    463, Loss  0.540089, Average Loss  0.529075, Time  0.460042
2021-09-07 08:15:47.069566 : Epoch 10, Batch    464, Loss  0.534606, Average Loss  0.529110, Time  0.459138
2021-09-07 08:15:48.903560 : Epoch 10, Batch    465, Loss  0.525780, Average Loss  0.529097, Time  0.459451
2021-09-07 08:15:50.751270 : Epoch 10, Batch    466, Loss  0.541800, Average Loss  0.529245, Time  0.459115
2021-09-07 08:15:52.586956 : Epoch 10, Batch    467, Loss  0.537731, Average Loss  0.529264, Time  0.458679
2021-09-07 08:15:54.422248 : Epoch 10, Batch    468, Loss  0.536457, Average Loss  0.529323, Time  0.458871
2021-09-07 08:15:56.250714 : Epoch 10, Batch    469, Loss  0.532110, Average Loss  0.529374, Time  0.458671
2021-09-07 08:15:58.096039 : Epoch 10, Batch    470, Loss  0.532818, Average Loss  0.529396, Time  0.461427
2021-09-07 08:15:59.930688 : Epoch 10, Batch    471, Loss  0.529348, Average Loss  0.529376, Time  0.459266
2021-09-07 08:16:01.774945 : Epoch 10, Batch    472, Loss  0.532971, Average Loss  0.529404, Time  0.459206
2021-09-07 08:16:03.605484 : Epoch 10, Batch    473, Loss  0.510204, Average Loss  0.529308, Time  0.459099
2021-09-07 08:16:05.435973 : Epoch 10, Batch    474, Loss  0.523880, Average Loss  0.529316, Time  0.459797
2021-09-07 08:16:07.278650 : Epoch 10, Batch    475, Loss  0.526629, Average Loss  0.529311, Time  0.459304
2021-09-07 08:16:09.107214 : Epoch 10, Batch    476, Loss  0.518659, Average Loss  0.529233, Time  0.459238
2021-09-07 08:16:10.942389 : Epoch 10, Batch    477, Loss  0.535080, Average Loss  0.529227, Time  0.459333
2021-09-07 08:16:12.769042 : Epoch 10, Batch    478, Loss  0.527637, Average Loss  0.529216, Time  0.459545
2021-09-07 08:16:14.601029 : Epoch 10, Batch    479, Loss  0.521328, Average Loss  0.529244, Time  0.459256
2021-09-07 08:16:16.435770 : Epoch 10, Batch    480, Loss  0.516917, Average Loss  0.529230, Time  0.459327
2021-09-07 08:16:18.288784 : Epoch 10, Batch    481, Loss  0.521593, Average Loss  0.529171, Time  0.460554
2021-09-07 08:16:20.142891 : Epoch 10, Batch    482, Loss  0.529430, Average Loss  0.529206, Time  0.459960
2021-09-07 08:16:21.987341 : Epoch 10, Batch    483, Loss  0.531089, Average Loss  0.529265, Time  0.459233
2021-09-07 08:16:23.838960 : Epoch 10, Batch    484, Loss  0.533980, Average Loss  0.529250, Time  0.459985
2021-09-07 08:16:25.682862 : Epoch 10, Batch    485, Loss  0.532755, Average Loss  0.529301, Time  0.458718
2021-09-07 08:16:27.517334 : Epoch 10, Batch    486, Loss  0.530834, Average Loss  0.529326, Time  0.459448
2021-09-07 08:16:29.368396 : Epoch 10, Batch    487, Loss  0.525634, Average Loss  0.529315, Time  0.458964
2021-09-07 08:16:32.927688 : Epoch 10, Batch    488, Loss  0.542625, Average Loss  0.529381, Time  0.468924
2021-09-07 08:16:34.761871 : Epoch 10, Batch    489, Loss  0.530973, Average Loss  0.529325, Time  0.459838
2021-09-07 08:16:36.593158 : Epoch 10, Batch    490, Loss  0.524171, Average Loss  0.529280, Time  0.458838
2021-09-07 08:16:38.464982 : Epoch 10, Batch    491, Loss  0.533679, Average Loss  0.529306, Time  0.465264
2021-09-07 08:16:40.306694 : Epoch 10, Batch    492, Loss  0.533787, Average Loss  0.529382, Time  0.459505
2021-09-07 08:16:42.136692 : Epoch 10, Batch    493, Loss  0.538554, Average Loss  0.529384, Time  0.460568
2021-09-07 08:16:43.973847 : Epoch 10, Batch    494, Loss  0.526546, Average Loss  0.529393, Time  0.459355
2021-09-07 08:16:45.828431 : Epoch 10, Batch    495, Loss  0.525204, Average Loss  0.529336, Time  0.460268
2021-09-07 08:16:47.669724 : Epoch 10, Batch    496, Loss  0.528667, Average Loss  0.529397, Time  0.459188
2021-09-07 08:16:49.501567 : Epoch 10, Batch    497, Loss  0.533216, Average Loss  0.529397, Time  0.459068
2021-09-07 08:16:51.341967 : Epoch 10, Batch    498, Loss  0.526271, Average Loss  0.529341, Time  0.459094
2021-09-07 08:16:53.198126 : Epoch 10, Batch    499, Loss  0.540876, Average Loss  0.529373, Time  0.459760
2021-09-07 08:16:55.045072 : Epoch 10, Batch    500, Loss  0.533261, Average Loss  0.529382, Time  0.459830
2021-09-07 08:16:56.887522 : Epoch 10, Batch    501, Loss  0.531804, Average Loss  0.529436, Time  0.459329
2021-09-07 08:16:58.721307 : Epoch 10, Batch    502, Loss  0.526903, Average Loss  0.529404, Time  0.459439
2021-09-07 08:17:00.574628 : Epoch 10, Batch    503, Loss  0.536437, Average Loss  0.529355, Time  0.461131
2021-09-07 08:17:02.434572 : Epoch 10, Batch    504, Loss  0.530650, Average Loss  0.529346, Time  0.460599
2021-09-07 08:17:04.280138 : Epoch 10, Batch    505, Loss  0.544001, Average Loss  0.529464, Time  0.459711
2021-09-07 08:17:06.115238 : Epoch 10, Batch    506, Loss  0.521480, Average Loss  0.529518, Time  0.459297
2021-09-07 08:17:07.970473 : Epoch 10, Batch    507, Loss  0.517433, Average Loss  0.529461, Time  0.459693
2021-09-07 08:17:09.814379 : Epoch 10, Batch    508, Loss  0.522154, Average Loss  0.529461, Time  0.460155
2021-09-07 08:17:11.665644 : Epoch 10, Batch    509, Loss  0.537662, Average Loss  0.529523, Time  0.459270
2021-09-07 08:17:13.516657 : Epoch 10, Batch    510, Loss  0.530690, Average Loss  0.529460, Time  0.459823
2021-09-07 08:17:15.371793 : Epoch 10, Batch    511, Loss  0.529669, Average Loss  0.529440, Time  0.459052
2021-09-07 08:17:17.210126 : Epoch 10, Batch    512, Loss  0.534708, Average Loss  0.529498, Time  0.464593
2021-09-07 08:17:19.047985 : Epoch 10, Batch    513, Loss  0.527396, Average Loss  0.529407, Time  0.459481
2021-09-07 08:17:20.883358 : Epoch 10, Batch    514, Loss  0.529006, Average Loss  0.529306, Time  0.458692
2021-09-07 08:17:22.714131 : Epoch 10, Batch    515, Loss  0.532362, Average Loss  0.529421, Time  0.460242
2021-09-07 08:17:24.547642 : Epoch 10, Batch    516, Loss  0.525578, Average Loss  0.529422, Time  0.459026
2021-09-07 08:17:26.374348 : Epoch 10, Batch    517, Loss  0.531378, Average Loss  0.529413, Time  0.459184
2021-09-07 08:18:28.874568 : CheckPoint: Validation Loss  0.00021659, Best Loss  0.00021135
2021-09-07 08:18:30.729933 : Epoch 10, Batch    518, Loss  0.535836, Average Loss  0.529452, Time  0.459627
2021-09-07 08:18:32.557566 : Epoch 10, Batch    519, Loss  0.534852, Average Loss  0.529533, Time  0.459176
2021-09-07 08:18:34.405706 : Epoch 10, Batch    520, Loss  0.542967, Average Loss  0.529530, Time  0.461346
2021-09-07 08:18:36.236694 : Epoch 10, Batch    521, Loss  0.514033, Average Loss  0.529514, Time  0.459477
2021-09-07 08:18:38.083127 : Epoch 10, Batch    522, Loss  0.527784, Average Loss  0.529524, Time  0.459035
2021-09-07 08:18:39.924088 : Epoch 10, Batch    523, Loss  0.526213, Average Loss  0.529459, Time  0.460418
2021-09-07 08:18:41.777163 : Epoch 10, Batch    524, Loss  0.552279, Average Loss  0.529564, Time  0.460113
2021-09-07 08:18:43.620714 : Epoch 10, Batch    525, Loss  0.530814, Average Loss  0.529464, Time  0.459541
2021-09-07 08:18:45.461030 : Epoch 10, Batch    526, Loss  0.529330, Average Loss  0.529467, Time  0.460632
2021-09-07 08:18:47.310936 : Epoch 10, Batch    527, Loss  0.539817, Average Loss  0.529554, Time  0.459577
2021-09-07 08:18:49.148042 : Epoch 10, Batch    528, Loss  0.528422, Average Loss  0.529516, Time  0.459197
2021-09-07 08:18:50.993213 : Epoch 10, Batch    529, Loss  0.533553, Average Loss  0.529536, Time  0.460356
2021-09-07 08:18:52.852217 : Epoch 10, Batch    530, Loss  0.527230, Average Loss  0.529506, Time  0.458799
2021-09-07 08:18:54.692006 : Epoch 10, Batch    531, Loss  0.531518, Average Loss  0.529547, Time  0.459376
2021-09-07 08:18:56.526290 : Epoch 10, Batch    532, Loss  0.545624, Average Loss  0.529667, Time  0.459315
2021-09-07 08:18:58.361739 : Epoch 10, Batch    533, Loss  0.528650, Average Loss  0.529727, Time  0.459982
2021-09-07 08:19:00.199981 : Epoch 10, Batch    534, Loss  0.529802, Average Loss  0.529713, Time  0.459525
2021-09-07 08:19:02.042665 : Epoch 10, Batch    535, Loss  0.522931, Average Loss  0.529675, Time  0.460017
2021-09-07 08:19:03.896160 : Epoch 10, Batch    536, Loss  0.532098, Average Loss  0.529738, Time  0.460516
2021-09-07 08:19:05.745320 : Epoch 10, Batch    537, Loss  0.521525, Average Loss  0.529671, Time  0.461035
2021-09-07 08:19:07.572193 : Epoch 10, Batch    538, Loss  0.528400, Average Loss  0.529691, Time  0.459215
2021-09-07 08:19:09.409234 : Epoch 10, Batch    539, Loss  0.535510, Average Loss  0.529683, Time  0.459396
2021-09-07 08:19:11.252031 : Epoch 10, Batch    540, Loss  0.534750, Average Loss  0.529662, Time  0.458824
2021-09-07 08:19:13.097022 : Epoch 10, Batch    541, Loss  0.534308, Average Loss  0.529648, Time  0.461427
2021-09-07 08:19:14.976991 : Epoch 10, Batch    542, Loss  0.530090, Average Loss  0.529602, Time  0.460091
2021-09-07 08:19:16.828088 : Epoch 10, Batch    543, Loss  0.526012, Average Loss  0.529557, Time  0.460030
2021-09-07 08:19:18.669529 : Epoch 10, Batch    544, Loss  0.532069, Average Loss  0.529596, Time  0.459402
2021-09-07 08:19:20.509814 : Epoch 10, Batch    545, Loss  0.520843, Average Loss  0.529579, Time  0.459824
2021-09-07 08:19:22.360505 : Epoch 10, Batch    546, Loss  0.528024, Average Loss  0.529570, Time  0.460977
2021-09-07 08:19:24.212885 : Epoch 10, Batch    547, Loss  0.522891, Average Loss  0.529525, Time  0.459565
2021-09-07 08:19:26.059436 : Epoch 10, Batch    548, Loss  0.514460, Average Loss  0.529440, Time  0.460205
2021-09-07 08:19:27.910646 : Epoch 10, Batch    549, Loss  0.534360, Average Loss  0.529510, Time  0.460074
2021-09-07 08:19:29.747348 : Epoch 10, Batch    550, Loss  0.535813, Average Loss  0.529443, Time  0.459316
2021-09-07 08:19:31.578320 : Epoch 10, Batch    551, Loss  0.536092, Average Loss  0.529442, Time  0.459136
2021-09-07 08:19:33.434242 : Epoch 10, Batch    552, Loss  0.533156, Average Loss  0.529376, Time  0.460147
2021-09-07 08:19:35.294189 : Epoch 10, Batch    553, Loss  0.544203, Average Loss  0.529451, Time  0.460395
2021-09-07 08:19:37.132721 : Epoch 10, Batch    554, Loss  0.544685, Average Loss  0.529565, Time  0.459676
2021-09-07 08:19:38.974789 : Epoch 10, Batch    555, Loss  0.519892, Average Loss  0.529565, Time  0.459438
2021-09-07 08:19:40.826134 : Epoch 10, Batch    556, Loss  0.529549, Average Loss  0.529554, Time  0.459378
2021-09-07 08:19:42.664116 : Epoch 10, Batch    557, Loss  0.516611, Average Loss  0.529533, Time  0.460274
2021-09-07 08:19:44.495147 : Epoch 10, Batch    558, Loss  0.528722, Average Loss  0.529454, Time  0.459692
2021-09-07 08:19:46.355831 : Epoch 10, Batch    559, Loss  0.525285, Average Loss  0.529455, Time  0.460023
2021-09-07 08:19:48.215852 : Epoch 10, Batch    560, Loss  0.534310, Average Loss  0.529512, Time  0.459933
2021-09-07 08:19:50.078184 : Epoch 10, Batch    561, Loss  0.531430, Average Loss  0.529548, Time  0.459783
2021-09-07 08:19:51.935092 : Epoch 10, Batch    562, Loss  0.523900, Average Loss  0.529570, Time  0.459966
2021-09-07 08:19:53.787300 : Epoch 10, Batch    563, Loss  0.530134, Average Loss  0.529616, Time  0.460047
2021-09-07 08:19:55.640548 : Epoch 10, Batch    564, Loss  0.539470, Average Loss  0.529645, Time  0.459543
2021-09-07 08:19:57.475185 : Epoch 10, Batch    565, Loss  0.538126, Average Loss  0.529736, Time  0.459625
2021-09-07 08:19:59.306491 : Epoch 10, Batch    566, Loss  0.530634, Average Loss  0.529700, Time  0.459717
2021-09-07 08:20:01.147782 : Epoch 10, Batch    567, Loss  0.521834, Average Loss  0.529682, Time  0.459100
2021-09-07 08:20:02.983152 : Epoch 10, Batch    568, Loss  0.523850, Average Loss  0.529630, Time  0.459792
2021-09-07 08:20:04.818569 : Epoch 10, Batch    569, Loss  0.523545, Average Loss  0.529592, Time  0.459689
2021-09-07 08:20:06.671348 : Epoch 10, Batch    570, Loss  0.532337, Average Loss  0.529660, Time  0.459136
2021-09-07 08:20:08.507011 : Epoch 10, Batch    571, Loss  0.546206, Average Loss  0.529725, Time  0.459018
2021-09-07 08:20:10.339508 : Epoch 10, Batch    572, Loss  0.523821, Average Loss  0.529737, Time  0.459190
2021-09-07 08:20:12.171384 : Epoch 10, Batch    573, Loss  0.519292, Average Loss  0.529769, Time  0.459370
2021-09-07 08:20:14.007900 : Epoch 10, Batch    574, Loss  0.526519, Average Loss  0.529770, Time  0.460019
2021-09-07 08:20:15.875549 : Epoch 10, Batch    575, Loss  0.543182, Average Loss  0.529833, Time  0.460160
2021-09-07 08:20:17.729121 : Epoch 10, Batch    576, Loss  0.521522, Average Loss  0.529745, Time  0.460086
2021-09-07 08:20:19.586478 : Epoch 10, Batch    577, Loss  0.523004, Average Loss  0.529733, Time  0.460450
2021-09-07 08:20:21.442496 : Epoch 10, Batch    578, Loss  0.530310, Average Loss  0.529803, Time  0.459924
2021-09-07 08:20:23.295849 : Epoch 10, Batch    579, Loss  0.537522, Average Loss  0.529867, Time  0.460017
2021-09-07 08:20:25.139741 : Epoch 10, Batch    580, Loss  0.545254, Average Loss  0.530006, Time  0.459367
2021-09-07 08:20:26.978037 : Epoch 10, Batch    581, Loss  0.546113, Average Loss  0.530155, Time  0.459746
2021-09-07 08:20:28.841179 : Epoch 10, Batch    582, Loss  0.527085, Average Loss  0.530064, Time  0.460068
2021-09-07 08:20:30.697147 : Epoch 10, Batch    583, Loss  0.537106, Average Loss  0.530109, Time  0.460599
2021-09-07 08:20:32.550618 : Epoch 10, Batch    584, Loss  0.523294, Average Loss  0.530127, Time  0.460192
2021-09-07 08:20:34.390935 : Epoch 10, Batch    585, Loss  0.532191, Average Loss  0.530181, Time  0.459523
2021-09-07 08:20:36.226607 : Epoch 10, Batch    586, Loss  0.524529, Average Loss  0.530129, Time  0.459335
2021-09-07 08:20:38.069916 : Epoch 10, Batch    587, Loss  0.535842, Average Loss  0.530173, Time  0.459920
2021-09-07 08:20:41.656192 : Epoch 10, Batch    588, Loss  0.535706, Average Loss  0.530123, Time  0.474615
2021-09-07 08:20:43.488701 : Epoch 10, Batch    589, Loss  0.534734, Average Loss  0.530145, Time  0.459195
2021-09-07 08:20:45.338469 : Epoch 10, Batch    590, Loss  0.530745, Average Loss  0.530166, Time  0.461085
2021-09-07 08:20:47.188161 : Epoch 10, Batch    591, Loss  0.535299, Average Loss  0.530194, Time  0.458966
2021-09-07 08:20:49.046766 : Epoch 10, Batch    592, Loss  0.527142, Average Loss  0.530236, Time  0.460152
2021-09-07 08:20:50.902253 : Epoch 10, Batch    593, Loss  0.518120, Average Loss  0.530170, Time  0.459357
2021-09-07 08:20:52.748615 : Epoch 10, Batch    594, Loss  0.520186, Average Loss  0.530107, Time  0.460447
2021-09-07 08:20:54.595902 : Epoch 10, Batch    595, Loss  0.526978, Average Loss  0.530104, Time  0.460353
2021-09-07 08:20:56.444072 : Epoch 10, Batch    596, Loss  0.525341, Average Loss  0.530064, Time  0.460404
2021-09-07 08:20:58.282390 : Epoch 10, Batch    597, Loss  0.530517, Average Loss  0.530125, Time  0.459348
2021-09-07 08:21:00.119092 : Epoch 10, Batch    598, Loss  0.528014, Average Loss  0.530149, Time  0.459939
2021-09-07 08:21:01.954036 : Epoch 10, Batch    599, Loss  0.534282, Average Loss  0.530145, Time  0.459357
2021-09-07 08:21:03.792352 : Epoch 10, Batch    600, Loss  0.539146, Average Loss  0.530173, Time  0.460072
2021-09-07 08:21:05.666219 : Epoch 10, Batch    601, Loss  0.511304, Average Loss  0.530124, Time  0.459572
2021-09-07 08:21:07.501395 : Epoch 10, Batch    602, Loss  0.525071, Average Loss  0.530078, Time  0.459047
2021-09-07 08:21:09.333966 : Epoch 10, Batch    603, Loss  0.540158, Average Loss  0.530144, Time  0.459231
2021-09-07 08:21:11.180523 : Epoch 10, Batch    604, Loss  0.529860, Average Loss  0.530165, Time  0.459984
2021-09-07 08:21:13.023326 : Epoch 10, Batch    605, Loss  0.530424, Average Loss  0.530205, Time  0.459208
2021-09-07 08:21:14.861291 : Epoch 10, Batch    606, Loss  0.540669, Average Loss  0.530349, Time  0.460819
2021-09-07 08:21:16.711393 : Epoch 10, Batch    607, Loss  0.513492, Average Loss  0.530311, Time  0.459911
2021-09-07 08:21:18.560555 : Epoch 10, Batch    608, Loss  0.525735, Average Loss  0.530243, Time  0.459966
2021-09-07 08:21:20.417724 : Epoch 10, Batch    609, Loss  0.517141, Average Loss  0.530201, Time  0.459834
2021-09-07 08:21:22.272084 : Epoch 10, Batch    610, Loss  0.529818, Average Loss  0.530186, Time  0.459717
2021-09-07 08:21:24.124238 : Epoch 10, Batch    611, Loss  0.516616, Average Loss  0.530075, Time  0.460050
2021-09-07 08:21:25.969368 : Epoch 10, Batch    612, Loss  0.531778, Average Loss  0.530129, Time  0.459203
2021-09-07 08:21:27.816199 : Epoch 10, Batch    613, Loss  0.539027, Average Loss  0.530180, Time  0.459307
2021-09-07 08:21:29.646826 : Epoch 10, Batch    614, Loss  0.541776, Average Loss  0.530215, Time  0.458884
2021-09-07 08:21:31.485205 : Epoch 10, Batch    615, Loss  0.524183, Average Loss  0.530253, Time  0.459380
2021-09-07 08:21:33.322280 : Epoch 10, Batch    616, Loss  0.532651, Average Loss  0.530201, Time  0.459277
2021-09-07 08:21:35.168942 : Epoch 10, Batch    617, Loss  0.522268, Average Loss  0.530137, Time  0.459584
2021-09-07 08:22:37.760846 : CheckPoint: Validation Loss  0.00021899, Best Loss  0.00021135
2021-09-07 08:22:39.618770 : Epoch 10, Batch    618, Loss  0.531222, Average Loss  0.530142, Time  0.460911
2021-09-07 08:22:41.470525 : Epoch 10, Batch    619, Loss  0.527675, Average Loss  0.530040, Time  0.459072
2021-09-07 08:22:43.319973 : Epoch 10, Batch    620, Loss  0.530829, Average Loss  0.530038, Time  0.459798
2021-09-07 08:22:45.169021 : Epoch 10, Batch    621, Loss  0.514096, Average Loss  0.529920, Time  0.460304
2021-09-07 08:22:47.022009 : Epoch 10, Batch    622, Loss  0.538700, Average Loss  0.529953, Time  0.459097
2021-09-07 08:22:48.869402 : Epoch 10, Batch    623, Loss  0.537512, Average Loss  0.529934, Time  0.461465
2021-09-07 08:22:50.721669 : Epoch 10, Batch    624, Loss  0.520216, Average Loss  0.529891, Time  0.459366
2021-09-07 08:22:52.568909 : Epoch 10, Batch    625, Loss  0.513592, Average Loss  0.529748, Time  0.460023
2021-09-07 08:22:54.428616 : Epoch 10, Batch    626, Loss  0.532387, Average Loss  0.529793, Time  0.459932
2021-09-07 08:22:56.261039 : Epoch 10, Batch    627, Loss  0.535139, Average Loss  0.529827, Time  0.459445
2021-09-07 08:22:58.104225 : Epoch 10, Batch    628, Loss  0.528268, Average Loss  0.529905, Time  0.461229
2021-09-07 08:22:59.961711 : Epoch 10, Batch    629, Loss  0.524836, Average Loss  0.529908, Time  0.459807
2021-09-07 08:23:01.830007 : Epoch 10, Batch    630, Loss  0.539133, Average Loss  0.530000, Time  0.460208
2021-09-07 08:23:03.664374 : Epoch 10, Batch    631, Loss  0.524872, Average Loss  0.529909, Time  0.460023
2021-09-07 08:23:05.509779 : Epoch 10, Batch    632, Loss  0.526310, Average Loss  0.529925, Time  0.459501
2021-09-07 08:23:07.342293 : Epoch 10, Batch    633, Loss  0.532559, Average Loss  0.529921, Time  0.459325
2021-09-07 08:23:09.178343 : Epoch 10, Batch    634, Loss  0.540295, Average Loss  0.530025, Time  0.459128
2021-09-07 08:23:11.033452 : Epoch 10, Batch    635, Loss  0.525098, Average Loss  0.529984, Time  0.460254
2021-09-07 08:23:12.879052 : Epoch 10, Batch    636, Loss  0.536427, Average Loss  0.530052, Time  0.459914
2021-09-07 08:23:14.757438 : Epoch 10, Batch    637, Loss  0.524404, Average Loss  0.530003, Time  0.460138
2021-09-07 08:23:16.616230 : Epoch 10, Batch    638, Loss  0.530661, Average Loss  0.530050, Time  0.459363
2021-09-07 08:23:18.462731 : Epoch 10, Batch    639, Loss  0.528337, Average Loss  0.530031, Time  0.459555
2021-09-07 08:23:20.295165 : Epoch 10, Batch    640, Loss  0.532431, Average Loss  0.530014, Time  0.459861
2021-09-07 08:23:22.146850 : Epoch 10, Batch    641, Loss  0.521301, Average Loss  0.530003, Time  0.459087
2021-09-07 08:23:23.983666 : Epoch 10, Batch    642, Loss  0.536011, Average Loss  0.530064, Time  0.459420
2021-09-07 08:23:25.817800 : Epoch 10, Batch    643, Loss  0.521218, Average Loss  0.530007, Time  0.459812
2021-09-07 08:23:27.677646 : Epoch 10, Batch    644, Loss  0.529890, Average Loss  0.530020, Time  0.459319
2021-09-07 08:23:29.546345 : Epoch 10, Batch    645, Loss  0.535778, Average Loss  0.530052, Time  0.458609
2021-09-07 08:23:31.392098 : Epoch 10, Batch    646, Loss  0.529388, Average Loss  0.530053, Time  0.460291
2021-09-07 08:23:33.244212 : Epoch 10, Batch    647, Loss  0.541237, Average Loss  0.530150, Time  0.459361
2021-09-07 08:23:35.080945 : Epoch 10, Batch    648, Loss  0.532410, Average Loss  0.530124, Time  0.458973
2021-09-07 08:23:36.928761 : Epoch 10, Batch    649, Loss  0.525000, Average Loss  0.530030, Time  0.459881
2021-09-07 08:23:38.766788 : Epoch 10, Batch    650, Loss  0.519626, Average Loss  0.530009, Time  0.459246
2021-09-07 08:23:40.607655 : Epoch 10, Batch    651, Loss  0.549869, Average Loss  0.530084, Time  0.458946
2021-09-07 08:23:42.440234 : Epoch 10, Batch    652, Loss  0.536459, Average Loss  0.530138, Time  0.458908
2021-09-07 08:23:44.275245 : Epoch 10, Batch    653, Loss  0.522197, Average Loss  0.530127, Time  0.460014
2021-09-07 08:23:46.121915 : Epoch 10, Batch    654, Loss  0.534921, Average Loss  0.530179, Time  0.459070
2021-09-07 08:23:47.985495 : Epoch 10, Batch    655, Loss  0.528744, Average Loss  0.530123, Time  0.460170
2021-09-07 08:23:49.840186 : Epoch 10, Batch    656, Loss  0.523205, Average Loss  0.530087, Time  0.460108
2021-09-07 08:23:51.695456 : Epoch 10, Batch    657, Loss  0.522136, Average Loss  0.529987, Time  0.461024
2021-09-07 08:23:53.543006 : Epoch 10, Batch    658, Loss  0.550568, Average Loss  0.530082, Time  0.460092
2021-09-07 08:23:55.405866 : Epoch 10, Batch    659, Loss  0.523101, Average Loss  0.530064, Time  0.460477
2021-09-07 08:23:57.261858 : Epoch 10, Batch    660, Loss  0.528514, Average Loss  0.530058, Time  0.460195
2021-09-07 08:23:59.114655 : Epoch 10, Batch    661, Loss  0.533306, Average Loss  0.530121, Time  0.460259
2021-09-07 08:24:00.973537 : Epoch 10, Batch    662, Loss  0.538178, Average Loss  0.530180, Time  0.460015
2021-09-07 08:24:02.825032 : Epoch 10, Batch    663, Loss  0.530048, Average Loss  0.530130, Time  0.459133
2021-09-07 08:24:04.674974 : Epoch 10, Batch    664, Loss  0.531651, Average Loss  0.530116, Time  0.460018
2021-09-07 08:24:06.521019 : Epoch 10, Batch    665, Loss  0.538846, Average Loss  0.530181, Time  0.459530
2021-09-07 08:24:08.362823 : Epoch 10, Batch    666, Loss  0.537281, Average Loss  0.530158, Time  0.459570
2021-09-07 08:24:10.204472 : Epoch 10, Batch    667, Loss  0.526111, Average Loss  0.530100, Time  0.459522
2021-09-07 08:24:12.049003 : Epoch 10, Batch    668, Loss  0.538635, Average Loss  0.530111, Time  0.460263
2021-09-07 08:24:13.903892 : Epoch 10, Batch    669, Loss  0.527714, Average Loss  0.530089, Time  0.460068
2021-09-07 08:24:15.748935 : Epoch 10, Batch    670, Loss  0.515229, Average Loss  0.530001, Time  0.460021
2021-09-07 08:24:17.591568 : Epoch 10, Batch    671, Loss  0.525417, Average Loss  0.529981, Time  0.459373
2021-09-07 08:24:19.429862 : Epoch 10, Batch    672, Loss  0.522538, Average Loss  0.529929, Time  0.459740
2021-09-07 08:24:21.287421 : Epoch 10, Batch    673, Loss  0.525523, Average Loss  0.530006, Time  0.460616
2021-09-07 08:24:23.131938 : Epoch 10, Batch    674, Loss  0.513018, Average Loss  0.529952, Time  0.459525
2021-09-07 08:24:24.971501 : Epoch 10, Batch    675, Loss  0.537027, Average Loss  0.530004, Time  0.459172
2021-09-07 08:24:26.809977 : Epoch 10, Batch    676, Loss  0.546651, Average Loss  0.530144, Time  0.459556
2021-09-07 08:24:28.656782 : Epoch 10, Batch    677, Loss  0.509697, Average Loss  0.530017, Time  0.459956
2021-09-07 08:24:30.508169 : Epoch 10, Batch    678, Loss  0.524522, Average Loss  0.530001, Time  0.459319
2021-09-07 08:24:32.340916 : Epoch 10, Batch    679, Loss  0.522949, Average Loss  0.530009, Time  0.459485
2021-09-07 08:24:34.181541 : Epoch 10, Batch    680, Loss  0.528468, Average Loss  0.530067, Time  0.459465
2021-09-07 08:24:36.020260 : Epoch 10, Batch    681, Loss  0.529051, Average Loss  0.530104, Time  0.460261
2021-09-07 08:24:37.871499 : Epoch 10, Batch    682, Loss  0.521173, Average Loss  0.530063, Time  0.459960
2021-09-07 08:24:39.725452 : Epoch 10, Batch    683, Loss  0.540795, Average Loss  0.530111, Time  0.459142
2021-09-07 08:24:41.557563 : Epoch 10, Batch    684, Loss  0.529694, Average Loss  0.530090, Time  0.459305
2021-09-07 08:24:43.391202 : Epoch 10, Batch    685, Loss  0.523175, Average Loss  0.530042, Time  0.459790
2021-09-07 08:24:45.226938 : Epoch 10, Batch    686, Loss  0.539589, Average Loss  0.530086, Time  0.459294
2021-09-07 08:24:47.077540 : Epoch 10, Batch    687, Loss  0.534205, Average Loss  0.530129, Time  0.459819
2021-09-07 08:24:50.656471 : Epoch 10, Batch    688, Loss  0.531085, Average Loss  0.530071, Time  0.475574
2021-09-07 08:24:52.519970 : Epoch 10, Batch    689, Loss  0.529942, Average Loss  0.530066, Time  0.459793
2021-09-07 08:24:54.372020 : Epoch 10, Batch    690, Loss  0.525044, Average Loss  0.530070, Time  0.459648
2021-09-07 08:24:56.238139 : Epoch 10, Batch    691, Loss  0.535803, Average Loss  0.530081, Time  0.459936
2021-09-07 08:24:58.123721 : Epoch 10, Batch    692, Loss  0.507524, Average Loss  0.529950, Time  0.459163
2021-09-07 08:24:59.982119 : Epoch 10, Batch    693, Loss  0.519769, Average Loss  0.529856, Time  0.459404
2021-09-07 08:25:01.836881 : Epoch 10, Batch    694, Loss  0.540662, Average Loss  0.529926, Time  0.459456
2021-09-07 08:25:03.679469 : Epoch 10, Batch    695, Loss  0.528604, Average Loss  0.529943, Time  0.459341
2021-09-07 08:25:05.524018 : Epoch 10, Batch    696, Loss  0.528870, Average Loss  0.529944, Time  0.459622
2021-09-07 08:25:07.369412 : Epoch 10, Batch    697, Loss  0.517487, Average Loss  0.529866, Time  0.460619
2021-09-07 08:25:09.211529 : Epoch 10, Batch    698, Loss  0.518608, Average Loss  0.529827, Time  0.460084
2021-09-07 08:25:11.055349 : Epoch 10, Batch    699, Loss  0.522697, Average Loss  0.529736, Time  0.459377
2021-09-07 08:25:12.905011 : Epoch 10, Batch    700, Loss  0.538301, Average Loss  0.529762, Time  0.460057
2021-09-07 08:25:14.752430 : Epoch 10, Batch    701, Loss  0.514574, Average Loss  0.529675, Time  0.459779
2021-09-07 08:25:16.580015 : Epoch 10, Batch    702, Loss  0.517380, Average Loss  0.529628, Time  0.459805
2021-09-07 08:25:18.412843 : Epoch 10, Batch    703, Loss  0.524314, Average Loss  0.529567, Time  0.460862
2021-09-07 08:25:20.263678 : Epoch 10, Batch    704, Loss  0.517121, Average Loss  0.529500, Time  0.458840
2021-09-07 08:25:22.093335 : Epoch 10, Batch    705, Loss  0.536029, Average Loss  0.529460, Time  0.459040
2021-09-07 08:25:23.942645 : Epoch 10, Batch    706, Loss  0.527514, Average Loss  0.529490, Time  0.459992
2021-09-07 08:25:25.783340 : Epoch 10, Batch    707, Loss  0.525100, Average Loss  0.529528, Time  0.460525
2021-09-07 08:25:27.612524 : Epoch 10, Batch    708, Loss  0.538076, Average Loss  0.529608, Time  0.460304
2021-09-07 08:25:29.446731 : Epoch 10, Batch    709, Loss  0.529433, Average Loss  0.529567, Time  0.459156
2021-09-07 08:25:31.278020 : Epoch 10, Batch    710, Loss  0.514436, Average Loss  0.529485, Time  0.460109
2021-09-07 08:25:33.115641 : Epoch 10, Batch    711, Loss  0.536776, Average Loss  0.529521, Time  0.459189
2021-09-07 08:25:34.945695 : Epoch 10, Batch    712, Loss  0.535374, Average Loss  0.529524, Time  0.459380
2021-09-07 08:25:36.776522 : Epoch 10, Batch    713, Loss  0.531776, Average Loss  0.529546, Time  0.459566
2021-09-07 08:25:38.617042 : Epoch 10, Batch    714, Loss  0.524800, Average Loss  0.529525, Time  0.459857
2021-09-07 08:25:40.447868 : Epoch 10, Batch    715, Loss  0.535281, Average Loss  0.529540, Time  0.459280
2021-09-07 08:25:42.276916 : Epoch 10, Batch    716, Loss  0.540885, Average Loss  0.529616, Time  0.459482
2021-09-07 08:25:44.121486 : Epoch 10, Batch    717, Loss  0.526983, Average Loss  0.529594, Time  0.459444
2021-09-07 08:26:46.718048 : CheckPoint: Validation Loss  0.00021725, Best Loss  0.00021135
2021-09-07 08:26:48.552794 : Epoch 10, Batch    718, Loss  0.516827, Average Loss  0.529499, Time  0.459036
2021-09-07 08:26:50.389165 : Epoch 10, Batch    719, Loss  0.518234, Average Loss  0.529416, Time  0.459216
2021-09-07 08:26:52.230441 : Epoch 10, Batch    720, Loss  0.539137, Average Loss  0.529397, Time  0.459280
2021-09-07 08:26:54.059185 : Epoch 10, Batch    721, Loss  0.527368, Average Loss  0.529464, Time  0.459682
2021-09-07 08:26:55.899143 : Epoch 10, Batch    722, Loss  0.533880, Average Loss  0.529494, Time  0.458715
2021-09-07 08:26:57.732641 : Epoch 10, Batch    723, Loss  0.534170, Average Loss  0.529534, Time  0.459173
2021-09-07 08:26:59.605069 : Epoch 10, Batch    724, Loss  0.528067, Average Loss  0.529413, Time  0.461637
2021-09-07 08:27:01.509069 : Epoch 10, Batch    725, Loss  0.535758, Average Loss  0.529438, Time  0.461246
2021-09-07 08:27:03.382217 : Epoch 10, Batch    726, Loss  0.532041, Average Loss  0.529451, Time  0.459485
2021-09-07 08:27:05.221127 : Epoch 10, Batch    727, Loss  0.531161, Average Loss  0.529408, Time  0.459524
2021-09-07 08:27:07.056423 : Epoch 10, Batch    728, Loss  0.515143, Average Loss  0.529341, Time  0.459582
2021-09-07 08:27:08.888641 : Epoch 10, Batch    729, Loss  0.506826, Average Loss  0.529208, Time  0.459219
2021-09-07 08:27:10.732501 : Epoch 10, Batch    730, Loss  0.510349, Average Loss  0.529123, Time  0.459851
2021-09-07 08:27:12.573018 : Epoch 10, Batch    731, Loss  0.529787, Average Loss  0.529115, Time  0.459423
2021-09-07 08:27:14.398592 : Epoch 10, Batch    732, Loss  0.550786, Average Loss  0.529141, Time  0.459428
2021-09-07 08:27:16.222088 : Epoch 10, Batch    733, Loss  0.519029, Average Loss  0.529092, Time  0.460794
2021-09-07 08:27:18.050152 : Epoch 10, Batch    734, Loss  0.529198, Average Loss  0.529089, Time  0.460346
2021-09-07 08:27:19.887815 : Epoch 10, Batch    735, Loss  0.533234, Average Loss  0.529141, Time  0.459753
2021-09-07 08:27:21.720325 : Epoch 10, Batch    736, Loss  0.528034, Average Loss  0.529121, Time  0.459141
2021-09-07 08:27:23.549483 : Epoch 10, Batch    737, Loss  0.518540, Average Loss  0.529106, Time  0.459273
2021-09-07 08:27:25.374839 : Epoch 10, Batch    738, Loss  0.529342, Average Loss  0.529110, Time  0.459073
2021-09-07 08:27:27.212499 : Epoch 10, Batch    739, Loss  0.526501, Average Loss  0.529065, Time  0.459250
2021-09-07 08:27:29.040235 : Epoch 10, Batch    740, Loss  0.526101, Average Loss  0.529022, Time  0.459487
2021-09-07 08:27:30.881918 : Epoch 10, Batch    741, Loss  0.519400, Average Loss  0.528948, Time  0.459565
2021-09-07 08:27:32.707848 : Epoch 10, Batch    742, Loss  0.525401, Average Loss  0.528924, Time  0.459485
2021-09-07 08:27:34.538625 : Epoch 10, Batch    743, Loss  0.539577, Average Loss  0.528992, Time  0.460430
2021-09-07 08:27:36.377730 : Epoch 10, Batch    744, Loss  0.527796, Average Loss  0.528971, Time  0.459815
2021-09-07 08:27:38.203360 : Epoch 10, Batch    745, Loss  0.525114, Average Loss  0.528992, Time  0.459285
2021-09-07 08:27:40.044157 : Epoch 10, Batch    746, Loss  0.536609, Average Loss  0.529035, Time  0.460618
2021-09-07 08:27:41.887273 : Epoch 10, Batch    747, Loss  0.528299, Average Loss  0.529062, Time  0.460351
2021-09-07 08:27:43.737476 : Epoch 10, Batch    748, Loss  0.547957, Average Loss  0.529229, Time  0.460125
2021-09-07 08:27:45.589509 : Epoch 10, Batch    749, Loss  0.520115, Average Loss  0.529158, Time  0.459813
2021-09-07 08:27:47.420803 : Epoch 10, Batch    750, Loss  0.523610, Average Loss  0.529097, Time  0.460291
2021-09-07 08:27:49.266201 : Epoch 10, Batch    751, Loss  0.528888, Average Loss  0.529061, Time  0.459909
2021-09-07 08:27:51.095261 : Epoch 10, Batch    752, Loss  0.536167, Average Loss  0.529076, Time  0.459668
2021-09-07 08:27:52.949092 : Epoch 10, Batch    753, Loss  0.532367, Average Loss  0.529017, Time  0.459551
2021-09-07 08:27:54.800801 : Epoch 10, Batch    754, Loss  0.516376, Average Loss  0.528875, Time  0.459746
2021-09-07 08:27:56.662849 : Epoch 10, Batch    755, Loss  0.542708, Average Loss  0.528990, Time  0.459306
2021-09-07 08:27:58.494155 : Epoch 10, Batch    756, Loss  0.531644, Average Loss  0.529000, Time  0.459209
2021-09-07 08:28:00.338206 : Epoch 10, Batch    757, Loss  0.554895, Average Loss  0.529191, Time  0.458970
2021-09-07 08:28:02.170608 : Epoch 10, Batch    758, Loss  0.528351, Average Loss  0.529190, Time  0.459451
2021-09-07 08:28:04.012757 : Epoch 10, Batch    759, Loss  0.529281, Average Loss  0.529210, Time  0.459790
2021-09-07 08:28:05.860285 : Epoch 10, Batch    760, Loss  0.524483, Average Loss  0.529160, Time  0.459823
2021-09-07 08:28:07.710142 : Epoch 10, Batch    761, Loss  0.529315, Average Loss  0.529150, Time  0.459646
2021-09-07 08:28:09.562658 : Epoch 10, Batch    762, Loss  0.523010, Average Loss  0.529145, Time  0.459453
2021-09-07 08:28:11.405818 : Epoch 10, Batch    763, Loss  0.516433, Average Loss  0.529077, Time  0.459214
2021-09-07 08:28:13.248150 : Epoch 10, Batch    764, Loss  0.538357, Average Loss  0.529071, Time  0.460069
2021-09-07 08:28:15.109507 : Epoch 10, Batch    765, Loss  0.523982, Average Loss  0.529001, Time  0.460104
2021-09-07 08:28:16.960841 : Epoch 10, Batch    766, Loss  0.534953, Average Loss  0.529022, Time  0.459153
2021-09-07 08:28:18.788731 : Epoch 10, Batch    767, Loss  0.522504, Average Loss  0.529026, Time  0.459682
2021-09-07 08:28:20.643467 : Epoch 10, Batch    768, Loss  0.532963, Average Loss  0.529071, Time  0.460221
2021-09-07 08:28:22.483653 : Epoch 10, Batch    769, Loss  0.529238, Average Loss  0.529100, Time  0.460965
2021-09-07 08:28:24.313463 : Epoch 10, Batch    770, Loss  0.532877, Average Loss  0.529102, Time  0.460471
2021-09-07 08:28:26.155219 : Epoch 10, Batch    771, Loss  0.534420, Average Loss  0.529043, Time  0.460247
2021-09-07 08:28:27.999291 : Epoch 10, Batch    772, Loss  0.527355, Average Loss  0.529061, Time  0.459674
2021-09-07 08:28:29.839907 : Epoch 10, Batch    773, Loss  0.542953, Average Loss  0.529179, Time  0.459565
2021-09-07 08:28:31.681951 : Epoch 10, Batch    774, Loss  0.544312, Average Loss  0.529268, Time  0.460194
2021-09-07 08:28:33.528938 : Epoch 10, Batch    775, Loss  0.538123, Average Loss  0.529243, Time  0.459107
2021-09-07 08:28:35.390864 : Epoch 10, Batch    776, Loss  0.529060, Average Loss  0.529281, Time  0.462004
2021-09-07 08:28:37.224695 : Epoch 10, Batch    777, Loss  0.529750, Average Loss  0.529314, Time  0.459087
2021-09-07 08:28:39.061443 : Epoch 10, Batch    778, Loss  0.535592, Average Loss  0.529341, Time  0.459429
2021-09-07 08:28:40.891990 : Epoch 10, Batch    779, Loss  0.524037, Average Loss  0.529273, Time  0.459828
2021-09-07 08:28:42.734099 : Epoch 10, Batch    780, Loss  0.530957, Average Loss  0.529202, Time  0.459831
2021-09-07 08:28:44.567692 : Epoch 10, Batch    781, Loss  0.545207, Average Loss  0.529197, Time  0.460711
2021-09-07 08:28:46.393972 : Epoch 10, Batch    782, Loss  0.528070, Average Loss  0.529202, Time  0.459148
2021-09-07 08:28:48.239249 : Epoch 10, Batch    783, Loss  0.519733, Average Loss  0.529115, Time  0.459968
2021-09-07 08:28:50.094401 : Epoch 10, Batch    784, Loss  0.519424, Average Loss  0.529096, Time  0.460156
2021-09-07 08:28:51.940351 : Epoch 10, Batch    785, Loss  0.519232, Average Loss  0.529031, Time  0.461118
2021-09-07 08:28:53.788922 : Epoch 10, Batch    786, Loss  0.542344, Average Loss  0.529120, Time  0.459112
2021-09-07 08:28:55.631849 : Epoch 10, Batch    787, Loss  0.534661, Average Loss  0.529115, Time  0.459059
2021-09-07 08:28:55.658676 : Saving Model after 10-th Epoch.
2021-09-07 08:29:01.600564 : Epoch Finished.
2021-09-08 14:07:12.985966 : Building dataset train from orignial text documents
2021-09-08 14:10:04.531526 : Finish Loading dataset train
2021-09-08 14:10:04.565945 : Data Shuffle
2021-09-08 14:10:04.599251 : Start Shuffling
2021-09-08 14:10:05.754089 : Finish Shuffling
2021-09-08 14:10:05.843507 : Generate Batch
2021-09-08 14:10:06.210751 : Building dataset valid from orignial text documents
2021-09-08 14:10:14.001150 : Finish Loading dataset valid
2021-09-08 14:10:14.033349 : Data Shuffle
2021-09-08 14:10:14.066614 : Start Shuffling
2021-09-08 14:10:14.152658 : Finish Shuffling
2021-09-08 14:10:14.185269 : Generate Batch
2021-09-08 14:10:14.238463 : There are 928 batches per epoch
2021-09-08 14:10:14.275711 : Batch Shuffled
2021-09-08 14:16:55.913823 : Building dataset train from orignial text documents
2021-09-08 14:19:46.664805 : Finish Loading dataset train
2021-09-08 14:19:46.700857 : Data Shuffle
2021-09-08 14:19:46.734136 : Start Shuffling
2021-09-08 14:19:47.883057 : Finish Shuffling
2021-09-08 14:19:47.968460 : Generate Batch
2021-09-08 14:19:48.304450 : Building dataset valid from orignial text documents
2021-09-08 14:19:55.800372 : Finish Loading dataset valid
2021-09-08 14:19:55.835016 : Data Shuffle
2021-09-08 14:19:55.868023 : Start Shuffling
2021-09-08 14:19:55.953370 : Finish Shuffling
2021-09-08 14:19:55.987338 : Generate Batch
2021-09-08 14:19:56.040691 : There are 928 batches per epoch
2021-09-08 14:19:56.068785 : Batch Shuffled
2021-09-08 14:21:46.623538 : Building dataset train from orignial text documents
2021-09-08 14:24:38.535751 : Finish Loading dataset train
2021-09-08 14:24:38.568952 : Data Shuffle
2021-09-08 14:24:38.585603 : Start Shuffling
2021-09-08 14:24:39.713123 : Finish Shuffling
2021-09-08 14:24:39.795524 : Generate Batch
2021-09-08 14:24:40.179783 : Building dataset valid from orignial text documents
2021-09-08 14:24:47.773085 : Finish Loading dataset valid
2021-09-08 14:24:47.802802 : Data Shuffle
2021-09-08 14:24:47.811085 : Start Shuffling
2021-09-08 14:24:47.870162 : Finish Shuffling
2021-09-08 14:24:47.888073 : Generate Batch
2021-09-08 14:24:47.917414 : There are 3711 batches per epoch
2021-09-08 14:24:47.930661 : Batch Shuffled
2021-09-08 14:24:49.776420 : Epoch  1, Batch      1, Loss  1.861452, Average Loss  1.861452, Time  0.580612
2021-09-08 14:24:51.520575 : Epoch  1, Batch      2, Loss  1.866873, Average Loss  1.864163, Time  0.455745
2021-09-08 14:24:53.158434 : Epoch  1, Batch      3, Loss  1.862217, Average Loss  1.863514, Time  0.354830
2021-09-08 14:24:54.803357 : Epoch  1, Batch      4, Loss  1.849383, Average Loss  1.859981, Time  0.354337
2021-09-08 14:24:56.539026 : Epoch  1, Batch      5, Loss  1.846563, Average Loss  1.857298, Time  0.457897
2021-09-08 14:24:58.184488 : Epoch  1, Batch      6, Loss  1.840342, Average Loss  1.854472, Time  0.354218
2021-09-08 14:24:59.832126 : Epoch  1, Batch      7, Loss  1.814614, Average Loss  1.848778, Time  0.355727
2021-09-08 14:25:01.564977 : Epoch  1, Batch      8, Loss  1.800999, Average Loss  1.842806, Time  0.444211
2021-09-08 14:25:03.299180 : Epoch  1, Batch      9, Loss  1.782073, Average Loss  1.836057, Time  0.440799
2021-09-08 14:25:04.941098 : Epoch  1, Batch     10, Loss  1.773685, Average Loss  1.829820, Time  0.354521
2021-09-08 14:25:06.587490 : Epoch  1, Batch     11, Loss  1.763773, Average Loss  1.823816, Time  0.357276
2021-09-08 14:25:08.330643 : Epoch  1, Batch     12, Loss  1.733301, Average Loss  1.816273, Time  0.451882
2021-09-08 14:25:09.978120 : Epoch  1, Batch     13, Loss  1.736165, Average Loss  1.810111, Time  0.358392
2021-09-08 14:25:11.624118 : Epoch  1, Batch     14, Loss  1.719185, Average Loss  1.803616, Time  0.356297
2021-09-08 14:25:13.375395 : Epoch  1, Batch     15, Loss  1.718901, Average Loss  1.797969, Time  0.460944
2021-09-08 14:25:15.021025 : Epoch  1, Batch     16, Loss  1.697639, Average Loss  1.791698, Time  0.355024
2021-09-08 14:25:16.674545 : Epoch  1, Batch     17, Loss  1.706847, Average Loss  1.786707, Time  0.355421
2021-09-08 14:25:18.417571 : Epoch  1, Batch     18, Loss  1.681716, Average Loss  1.780874, Time  0.450779
2021-09-08 14:25:20.144937 : Epoch  1, Batch     19, Loss  1.673228, Average Loss  1.775208, Time  0.433918
2021-09-08 14:25:21.789918 : Epoch  1, Batch     20, Loss  1.697129, Average Loss  1.771304, Time  0.355374
2021-09-08 14:25:23.446908 : Epoch  1, Batch     21, Loss  1.686642, Average Loss  1.767273, Time  0.354651
2021-09-08 14:25:25.200862 : Epoch  1, Batch     22, Loss  1.695510, Average Loss  1.764011, Time  0.458931
2021-09-08 14:25:26.846638 : Epoch  1, Batch     23, Loss  1.706802, Average Loss  1.761524, Time  0.355765
2021-09-08 14:25:28.616975 : Epoch  1, Batch     24, Loss  1.672889, Average Loss  1.757830, Time  0.354295
2021-09-08 14:25:30.337529 : Epoch  1, Batch     25, Loss  1.685162, Average Loss  1.754924, Time  0.424837
2021-09-08 14:25:32.070970 : Epoch  1, Batch     26, Loss  1.661152, Average Loss  1.751317, Time  0.444424
2021-09-08 14:25:33.713533 : Epoch  1, Batch     27, Loss  1.662354, Average Loss  1.748022, Time  0.355281
2021-09-08 14:25:35.359792 : Epoch  1, Batch     28, Loss  1.659998, Average Loss  1.744878, Time  0.354361
2021-09-08 14:25:37.099999 : Epoch  1, Batch     29, Loss  1.677306, Average Loss  1.742548, Time  0.454498
2021-09-08 14:25:38.746734 : Epoch  1, Batch     30, Loss  1.677016, Average Loss  1.740364, Time  0.356889
2021-09-08 14:25:40.394408 : Epoch  1, Batch     31, Loss  1.653807, Average Loss  1.737572, Time  0.356237
2021-09-08 14:25:42.134290 : Epoch  1, Batch     32, Loss  1.656672, Average Loss  1.735044, Time  0.452112
2021-09-08 14:25:43.853044 : Epoch  1, Batch     33, Loss  1.658564, Average Loss  1.732726, Time  0.428894
2021-09-08 14:25:45.509950 : Epoch  1, Batch     34, Loss  1.670805, Average Loss  1.730905, Time  0.357149
2021-09-08 14:25:47.173481 : Epoch  1, Batch     35, Loss  1.657179, Average Loss  1.728798, Time  0.356800
2021-09-08 14:25:48.943420 : Epoch  1, Batch     36, Loss  1.659140, Average Loss  1.726864, Time  0.458076
2021-09-08 14:25:50.608756 : Epoch  1, Batch     37, Loss  1.656178, Average Loss  1.724953, Time  0.355049
2021-09-08 14:25:52.275353 : Epoch  1, Batch     38, Loss  1.651509, Average Loss  1.723020, Time  0.357621
2021-09-08 14:25:54.030509 : Epoch  1, Batch     39, Loss  1.623541, Average Loss  1.720470, Time  0.449076
2021-09-08 14:25:55.779547 : Epoch  1, Batch     40, Loss  1.646890, Average Loss  1.718630, Time  0.436809
2021-09-08 14:25:57.443728 : Epoch  1, Batch     41, Loss  1.627994, Average Loss  1.716419, Time  0.355691
2021-09-08 14:25:59.094926 : Epoch  1, Batch     42, Loss  1.668116, Average Loss  1.715269, Time  0.355849
2021-09-08 14:26:00.842978 : Epoch  1, Batch     43, Loss  1.646241, Average Loss  1.713664, Time  0.458630
2021-09-08 14:26:02.491047 : Epoch  1, Batch     44, Loss  1.638143, Average Loss  1.711948, Time  0.358159
2021-09-08 14:26:04.144846 : Epoch  1, Batch     45, Loss  1.633700, Average Loss  1.710209, Time  0.354818
2021-09-08 14:26:05.889902 : Epoch  1, Batch     46, Loss  1.635695, Average Loss  1.708589, Time  0.459637
2021-09-08 14:26:07.533960 : Epoch  1, Batch     47, Loss  1.640298, Average Loss  1.707136, Time  0.354806
2021-09-08 14:26:09.175388 : Epoch  1, Batch     48, Loss  1.610319, Average Loss  1.705119, Time  0.355426
2021-09-08 14:26:10.904339 : Epoch  1, Batch     49, Loss  1.614809, Average Loss  1.703276, Time  0.436183
2021-09-08 14:26:12.617073 : Epoch  1, Batch     50, Loss  1.603156, Average Loss  1.701274, Time  0.423450
2021-09-08 14:26:14.276985 : Epoch  1, Batch     51, Loss  1.631325, Average Loss  1.699902, Time  0.357735
2021-09-08 14:26:15.935460 : Epoch  1, Batch     52, Loss  1.604147, Average Loss  1.698061, Time  0.354898
2021-09-08 14:26:17.680970 : Epoch  1, Batch     53, Loss  1.598828, Average Loss  1.696188, Time  0.457859
2021-09-08 14:26:19.323803 : Epoch  1, Batch     54, Loss  1.587556, Average Loss  1.694177, Time  0.354547
2021-09-08 14:26:20.962486 : Epoch  1, Batch     55, Loss  1.556402, Average Loss  1.691672, Time  0.355536
2021-09-08 14:26:22.700805 : Epoch  1, Batch     56, Loss  1.575841, Average Loss  1.689603, Time  0.453812
2021-09-08 14:26:24.413019 : Epoch  1, Batch     57, Loss  1.563936, Average Loss  1.687398, Time  0.420967
2021-09-08 14:26:26.067954 : Epoch  1, Batch     58, Loss  1.546700, Average Loss  1.684973, Time  0.355954
2021-09-08 14:26:27.709285 : Epoch  1, Batch     59, Loss  1.502046, Average Loss  1.681872, Time  0.357063
2021-09-08 14:26:29.453214 : Epoch  1, Batch     60, Loss  1.467968, Average Loss  1.678307, Time  0.459131
2021-09-08 14:26:31.101722 : Epoch  1, Batch     61, Loss  1.404287, Average Loss  1.673815, Time  0.356200
2021-09-08 14:26:32.744659 : Epoch  1, Batch     62, Loss  1.381750, Average Loss  1.669104, Time  0.355186
2021-09-08 14:26:34.483316 : Epoch  1, Batch     63, Loss  1.358897, Average Loss  1.664180, Time  0.452362
2021-09-08 14:26:36.192846 : Epoch  1, Batch     64, Loss  1.393627, Average Loss  1.659953, Time  0.421918
2021-09-08 14:26:37.843151 : Epoch  1, Batch     65, Loss  1.318956, Average Loss  1.654707, Time  0.355512
2021-09-08 14:26:39.491329 : Epoch  1, Batch     66, Loss  1.324364, Average Loss  1.649702, Time  0.358495
2021-09-08 14:26:41.244464 : Epoch  1, Batch     67, Loss  1.334432, Average Loss  1.644996, Time  0.459243
2021-09-08 14:26:42.883605 : Epoch  1, Batch     68, Loss  1.297509, Average Loss  1.639886, Time  0.353883
2021-09-08 14:26:44.530321 : Epoch  1, Batch     69, Loss  1.291699, Average Loss  1.634840, Time  0.356162
2021-09-08 14:26:46.281208 : Epoch  1, Batch     70, Loss  1.279925, Average Loss  1.629770, Time  0.452165
2021-09-08 14:26:47.992337 : Epoch  1, Batch     71, Loss  1.285832, Average Loss  1.624925, Time  0.424883
2021-09-08 14:26:49.632779 : Epoch  1, Batch     72, Loss  1.326443, Average Loss  1.620780, Time  0.354958
2021-09-08 14:26:51.306070 : Epoch  1, Batch     73, Loss  1.279413, Average Loss  1.616104, Time  0.354640
2021-09-08 14:26:53.062357 : Epoch  1, Batch     74, Loss  1.250585, Average Loss  1.611164, Time  0.456266
2021-09-08 14:26:54.708609 : Epoch  1, Batch     75, Loss  1.224556, Average Loss  1.606009, Time  0.358321
2021-09-08 14:26:56.356417 : Epoch  1, Batch     76, Loss  1.200818, Average Loss  1.600678, Time  0.355135
2021-09-08 14:26:58.103203 : Epoch  1, Batch     77, Loss  1.214818, Average Loss  1.595667, Time  0.461883
2021-09-08 14:26:59.740108 : Epoch  1, Batch     78, Loss  1.199533, Average Loss  1.590588, Time  0.348521
2021-09-08 14:27:01.386007 : Epoch  1, Batch     79, Loss  1.147436, Average Loss  1.584979, Time  0.354827
2021-09-08 14:27:03.097991 : Epoch  1, Batch     80, Loss  1.187946, Average Loss  1.580016, Time  0.425005
2021-09-08 14:27:04.836044 : Epoch  1, Batch     81, Loss  1.202052, Average Loss  1.575349, Time  0.438723
2021-09-08 14:27:06.477345 : Epoch  1, Batch     82, Loss  1.143517, Average Loss  1.570083, Time  0.355723
2021-09-08 14:27:08.113819 : Epoch  1, Batch     83, Loss  1.142211, Average Loss  1.564928, Time  0.355900
2021-09-08 14:27:09.858394 : Epoch  1, Batch     84, Loss  1.148983, Average Loss  1.559976, Time  0.457848
2021-09-08 14:27:11.504651 : Epoch  1, Batch     85, Loss  1.152846, Average Loss  1.555187, Time  0.356435
2021-09-08 14:27:13.141340 : Epoch  1, Batch     86, Loss  1.164913, Average Loss  1.550649, Time  0.354391
2021-09-08 14:27:14.887337 : Epoch  1, Batch     87, Loss  1.112049, Average Loss  1.545607, Time  0.458216
2021-09-08 14:27:16.568001 : Epoch  1, Batch     88, Loss  1.130692, Average Loss  1.540892, Time  0.391927
2021-09-08 14:27:18.224017 : Epoch  1, Batch     89, Loss  1.082940, Average Loss  1.535747, Time  0.356464
2021-09-08 14:27:19.866676 : Epoch  1, Batch     90, Loss  1.094708, Average Loss  1.530846, Time  0.355268
2021-09-08 14:27:21.615629 : Epoch  1, Batch     91, Loss  1.079308, Average Loss  1.525884, Time  0.452717
2021-09-08 14:27:23.267023 : Epoch  1, Batch     92, Loss  1.070789, Average Loss  1.520938, Time  0.356219
2021-09-08 14:27:24.912479 : Epoch  1, Batch     93, Loss  1.063036, Average Loss  1.516014, Time  0.356514
2021-09-08 14:27:26.653219 : Epoch  1, Batch     94, Loss  1.048830, Average Loss  1.511044, Time  0.454631
2021-09-08 14:27:28.294527 : Epoch  1, Batch     95, Loss  1.024469, Average Loss  1.505922, Time  0.355214
2021-09-08 14:27:29.935090 : Epoch  1, Batch     96, Loss  1.059901, Average Loss  1.501276, Time  0.356721
2021-09-08 14:27:31.670101 : Epoch  1, Batch     97, Loss  1.015237, Average Loss  1.496265, Time  0.446922
2021-09-08 14:27:33.378992 : Epoch  1, Batch     98, Loss  0.992853, Average Loss  1.491128, Time  0.423408
2021-09-08 14:27:35.020632 : Epoch  1, Batch     99, Loss  0.996338, Average Loss  1.486131, Time  0.357625
2021-09-08 14:27:36.658863 : Epoch  1, Batch    100, Loss  1.051234, Average Loss  1.481782, Time  0.355071
2021-09-08 14:32:01.436479 : CheckPoint: Validation Loss  0.00066689, Best Loss  0.00066689
2021-09-08 14:32:01.491520 : Best Model Updated
2021-09-08 14:32:07.253063 : Epoch  1, Batch    101, Loss  1.001358, Average Loss  1.477025, Time  0.376186
2021-09-08 14:32:08.966019 : Epoch  1, Batch    102, Loss  0.982539, Average Loss  1.472177, Time  0.458712
2021-09-08 14:32:10.569157 : Epoch  1, Batch    103, Loss  0.970582, Average Loss  1.467307, Time  0.355072
2021-09-08 14:32:12.164119 : Epoch  1, Batch    104, Loss  0.966572, Average Loss  1.462492, Time  0.352392
2021-09-08 14:32:13.866338 : Epoch  1, Batch    105, Loss  0.958351, Average Loss  1.457691, Time  0.461408
2021-09-08 14:32:15.500221 : Epoch  1, Batch    106, Loss  0.957219, Average Loss  1.452970, Time  0.392348
2021-09-08 14:32:17.102994 : Epoch  1, Batch    107, Loss  0.972067, Average Loss  1.448475, Time  0.353124
2021-09-08 14:32:18.709021 : Epoch  1, Batch    108, Loss  0.972696, Average Loss  1.444070, Time  0.352805
2021-09-08 14:32:20.416107 : Epoch  1, Batch    109, Loss  0.925179, Average Loss  1.439309, Time  0.461874
2021-09-08 14:32:22.012435 : Epoch  1, Batch    110, Loss  0.927692, Average Loss  1.434658, Time  0.355010
2021-09-08 14:32:23.609838 : Epoch  1, Batch    111, Loss  0.942911, Average Loss  1.430228, Time  0.353364
2021-09-08 14:32:25.314975 : Epoch  1, Batch    112, Loss  0.980151, Average Loss  1.426210, Time  0.462860
2021-09-08 14:32:26.906619 : Epoch  1, Batch    113, Loss  0.934853, Average Loss  1.421861, Time  0.351996
2021-09-08 14:32:28.503936 : Epoch  1, Batch    114, Loss  0.958982, Average Loss  1.417801, Time  0.353038
2021-09-08 14:32:30.211368 : Epoch  1, Batch    115, Loss  0.953039, Average Loss  1.413760, Time  0.459115
2021-09-08 14:32:31.888970 : Epoch  1, Batch    116, Loss  0.970799, Average Loss  1.409941, Time  0.426222
2021-09-08 14:32:33.492308 : Epoch  1, Batch    117, Loss  0.954650, Average Loss  1.406050, Time  0.351742
2021-09-08 14:32:35.090540 : Epoch  1, Batch    118, Loss  0.958802, Average Loss  1.402259, Time  0.352798
2021-09-08 14:32:36.791787 : Epoch  1, Batch    119, Loss  0.914406, Average Loss  1.398160, Time  0.464025
2021-09-08 14:32:38.381834 : Epoch  1, Batch    120, Loss  0.933356, Average Loss  1.394286, Time  0.355752
2021-09-08 14:32:39.972859 : Epoch  1, Batch    121, Loss  0.954903, Average Loss  1.390655, Time  0.352511
2021-09-08 14:32:41.664686 : Epoch  1, Batch    122, Loss  0.934068, Average Loss  1.386913, Time  0.456961
2021-09-08 14:32:43.339471 : Epoch  1, Batch    123, Loss  0.890871, Average Loss  1.382880, Time  0.427616
2021-09-08 14:32:44.932439 : Epoch  1, Batch    124, Loss  0.911183, Average Loss  1.379076, Time  0.354348
2021-09-08 14:32:46.523674 : Epoch  1, Batch    125, Loss  0.916595, Average Loss  1.375376, Time  0.354674
2021-09-08 14:32:48.221843 : Epoch  1, Batch    126, Loss  0.920785, Average Loss  1.371768, Time  0.462129
2021-09-08 14:32:49.814535 : Epoch  1, Batch    127, Loss  0.915514, Average Loss  1.368175, Time  0.353162
2021-09-08 14:32:51.421628 : Epoch  1, Batch    128, Loss  0.922225, Average Loss  1.364691, Time  0.355264
2021-09-08 14:32:53.119537 : Epoch  1, Batch    129, Loss  0.931597, Average Loss  1.361334, Time  0.454568
2021-09-08 14:32:54.840430 : Epoch  1, Batch    130, Loss  0.910750, Average Loss  1.357868, Time  0.443682
2021-09-08 14:32:56.460792 : Epoch  1, Batch    131, Loss  0.899377, Average Loss  1.354368, Time  0.355179
2021-09-08 14:32:58.074271 : Epoch  1, Batch    132, Loss  0.903165, Average Loss  1.350950, Time  0.354625
2021-09-08 14:32:59.791815 : Epoch  1, Batch    133, Loss  0.890932, Average Loss  1.347491, Time  0.460922
2021-09-08 14:33:01.411513 : Epoch  1, Batch    134, Loss  0.949216, Average Loss  1.344519, Time  0.353590
2021-09-08 14:33:03.027474 : Epoch  1, Batch    135, Loss  0.931965, Average Loss  1.341463, Time  0.354932
2021-09-08 14:33:04.732786 : Epoch  1, Batch    136, Loss  0.884721, Average Loss  1.338105, Time  0.448339
2021-09-08 14:33:06.422290 : Epoch  1, Batch    137, Loss  0.911254, Average Loss  1.334989, Time  0.430718
2021-09-08 14:33:08.036828 : Epoch  1, Batch    138, Loss  0.884302, Average Loss  1.331723, Time  0.355711
2021-09-08 14:33:09.642700 : Epoch  1, Batch    139, Loss  0.928697, Average Loss  1.328824, Time  0.354245
2021-09-08 14:33:11.342087 : Epoch  1, Batch    140, Loss  0.888598, Average Loss  1.325679, Time  0.460050
2021-09-08 14:33:12.931661 : Epoch  1, Batch    141, Loss  0.916026, Average Loss  1.322774, Time  0.351684
2021-09-08 14:33:14.528134 : Epoch  1, Batch    142, Loss  0.905697, Average Loss  1.319837, Time  0.354234
2021-09-08 14:33:16.235210 : Epoch  1, Batch    143, Loss  0.947804, Average Loss  1.317235, Time  0.451742
2021-09-08 14:33:17.916963 : Epoch  1, Batch    144, Loss  0.895938, Average Loss  1.314309, Time  0.412145
2021-09-08 14:33:19.531615 : Epoch  1, Batch    145, Loss  0.842719, Average Loss  1.311057, Time  0.353585
2021-09-08 14:33:21.142248 : Epoch  1, Batch    146, Loss  0.892073, Average Loss  1.308187, Time  0.352958
2021-09-08 14:33:22.835538 : Epoch  1, Batch    147, Loss  0.862947, Average Loss  1.305158, Time  0.433450
2021-09-08 14:33:24.453655 : Epoch  1, Batch    148, Loss  0.901490, Average Loss  1.302431, Time  0.355266
2021-09-08 14:33:26.062186 : Epoch  1, Batch    149, Loss  0.884334, Average Loss  1.299625, Time  0.353424
2021-09-08 14:33:27.794709 : Epoch  1, Batch    150, Loss  0.909340, Average Loss  1.297023, Time  0.460002
2021-09-08 14:33:29.418147 : Epoch  1, Batch    151, Loss  0.865296, Average Loss  1.294164, Time  0.355782
2021-09-08 14:33:31.037739 : Epoch  1, Batch    152, Loss  0.883124, Average Loss  1.291460, Time  0.353507
2021-09-08 14:33:32.755244 : Epoch  1, Batch    153, Loss  0.899016, Average Loss  1.288895, Time  0.457794
2021-09-08 14:33:34.440494 : Epoch  1, Batch    154, Loss  0.918029, Average Loss  1.286486, Time  0.421793
2021-09-08 14:33:36.054776 : Epoch  1, Batch    155, Loss  0.914657, Average Loss  1.284088, Time  0.353796
2021-09-08 14:33:37.672807 : Epoch  1, Batch    156, Loss  0.860942, Average Loss  1.281375, Time  0.354983
2021-09-08 14:33:39.405933 : Epoch  1, Batch    157, Loss  0.899389, Average Loss  1.278942, Time  0.462220
2021-09-08 14:33:41.042668 : Epoch  1, Batch    158, Loss  0.861896, Average Loss  1.276303, Time  0.352064
2021-09-08 14:33:42.682236 : Epoch  1, Batch    159, Loss  0.923999, Average Loss  1.274087, Time  0.353491
2021-09-08 14:33:44.387775 : Epoch  1, Batch    160, Loss  0.882701, Average Loss  1.271641, Time  0.443693
2021-09-08 14:33:46.095083 : Epoch  1, Batch    161, Loss  0.918778, Average Loss  1.269449, Time  0.445668
2021-09-08 14:33:47.711870 : Epoch  1, Batch    162, Loss  0.882333, Average Loss  1.267059, Time  0.354453
2021-09-08 14:33:49.327992 : Epoch  1, Batch    163, Loss  0.904666, Average Loss  1.264836, Time  0.355025
2021-09-08 14:33:51.050707 : Epoch  1, Batch    164, Loss  0.873538, Average Loss  1.262450, Time  0.462969
2021-09-08 14:33:52.663184 : Epoch  1, Batch    165, Loss  0.887482, Average Loss  1.260178, Time  0.353656
2021-09-08 14:33:54.278072 : Epoch  1, Batch    166, Loss  0.895447, Average Loss  1.257980, Time  0.355696
2021-09-08 14:33:55.972968 : Epoch  1, Batch    167, Loss  0.907890, Average Loss  1.255884, Time  0.444018
2021-09-08 14:33:57.647646 : Epoch  1, Batch    168, Loss  0.915188, Average Loss  1.253856, Time  0.433490
2021-09-08 14:33:59.239848 : Epoch  1, Batch    169, Loss  0.878485, Average Loss  1.251635, Time  0.353234
2021-09-08 14:34:00.830712 : Epoch  1, Batch    170, Loss  0.890628, Average Loss  1.249511, Time  0.353442
2021-09-08 14:34:02.536874 : Epoch  1, Batch    171, Loss  0.907660, Average Loss  1.247512, Time  0.461596
2021-09-08 14:34:04.140939 : Epoch  1, Batch    172, Loss  0.877297, Average Loss  1.245360, Time  0.352957
2021-09-08 14:34:05.742493 : Epoch  1, Batch    173, Loss  0.864398, Average Loss  1.243158, Time  0.353651
2021-09-08 14:34:07.437533 : Epoch  1, Batch    174, Loss  0.894330, Average Loss  1.241153, Time  0.454700
2021-09-08 14:34:09.105621 : Epoch  1, Batch    175, Loss  0.892788, Average Loss  1.239162, Time  0.427022
2021-09-08 14:34:10.702266 : Epoch  1, Batch    176, Loss  0.888924, Average Loss  1.237172, Time  0.355537
2021-09-08 14:34:12.312220 : Epoch  1, Batch    177, Loss  0.875172, Average Loss  1.235127, Time  0.353145
2021-09-08 14:34:14.024543 : Epoch  1, Batch    178, Loss  0.884030, Average Loss  1.233155, Time  0.453037
2021-09-08 14:34:15.637726 : Epoch  1, Batch    179, Loss  0.861215, Average Loss  1.231077, Time  0.354940
2021-09-08 14:34:17.251832 : Epoch  1, Batch    180, Loss  0.895567, Average Loss  1.229213, Time  0.352971
2021-09-08 14:34:18.964477 : Epoch  1, Batch    181, Loss  0.878546, Average Loss  1.227275, Time  0.459522
2021-09-08 14:34:20.577197 : Epoch  1, Batch    182, Loss  0.867508, Average Loss  1.225299, Time  0.352883
2021-09-08 14:34:22.195120 : Epoch  1, Batch    183, Loss  0.902159, Average Loss  1.223533, Time  0.354522
2021-09-08 14:34:23.920764 : Epoch  1, Batch    184, Loss  0.895157, Average Loss  1.221748, Time  0.458695
2021-09-08 14:34:25.607817 : Epoch  1, Batch    185, Loss  0.893929, Average Loss  1.219976, Time  0.422477
2021-09-08 14:34:27.229948 : Epoch  1, Batch    186, Loss  0.873719, Average Loss  1.218115, Time  0.353750
2021-09-08 14:34:28.861487 : Epoch  1, Batch    187, Loss  0.856671, Average Loss  1.216182, Time  0.354120
2021-09-08 14:34:30.605769 : Epoch  1, Batch    188, Loss  0.860728, Average Loss  1.214291, Time  0.460861
2021-09-08 14:34:32.223304 : Epoch  1, Batch    189, Loss  0.899453, Average Loss  1.212625, Time  0.354062
2021-09-08 14:34:33.836796 : Epoch  1, Batch    190, Loss  0.885299, Average Loss  1.210903, Time  0.354213
2021-09-08 14:34:35.546868 : Epoch  1, Batch    191, Loss  0.870052, Average Loss  1.209118, Time  0.454221
2021-09-08 14:34:37.235403 : Epoch  1, Batch    192, Loss  0.864873, Average Loss  1.207325, Time  0.428976
2021-09-08 14:34:38.848307 : Epoch  1, Batch    193, Loss  0.894911, Average Loss  1.205706, Time  0.353875
2021-09-08 14:34:40.466742 : Epoch  1, Batch    194, Loss  0.879248, Average Loss  1.204024, Time  0.355404
2021-09-08 14:34:42.189665 : Epoch  1, Batch    195, Loss  0.864322, Average Loss  1.202281, Time  0.457747
2021-09-08 14:34:43.805710 : Epoch  1, Batch    196, Loss  0.892146, Average Loss  1.200699, Time  0.354178
2021-09-08 14:34:45.428340 : Epoch  1, Batch    197, Loss  0.909472, Average Loss  1.199221, Time  0.359290
2021-09-08 14:34:47.173458 : Epoch  1, Batch    198, Loss  0.887068, Average Loss  1.197644, Time  0.453681
2021-09-08 14:34:48.850173 : Epoch  1, Batch    199, Loss  0.912197, Average Loss  1.196210, Time  0.414667
2021-09-08 14:34:50.470100 : Epoch  1, Batch    200, Loss  0.896509, Average Loss  1.194711, Time  0.354099
2021-09-08 14:39:13.272647 : CheckPoint: Validation Loss  0.00059064, Best Loss  0.00059064
2021-09-08 14:39:13.313541 : Best Model Updated
2021-09-08 14:39:17.929810 : Epoch  1, Batch    201, Loss  0.876597, Average Loss  1.189787, Time  0.362860
2021-09-08 14:39:19.549773 : Epoch  1, Batch    202, Loss  0.881401, Average Loss  1.184860, Time  0.352070
2021-09-08 14:39:21.234823 : Epoch  1, Batch    203, Loss  0.857511, Average Loss  1.179836, Time  0.431650
2021-09-08 14:39:22.933662 : Epoch  1, Batch    204, Loss  0.867175, Average Loss  1.174925, Time  0.444124
2021-09-08 14:39:24.532056 : Epoch  1, Batch    205, Loss  0.894626, Average Loss  1.170166, Time  0.351546
2021-09-08 14:39:26.141093 : Epoch  1, Batch    206, Loss  0.881415, Average Loss  1.165371, Time  0.353251
2021-09-08 14:39:27.855417 : Epoch  1, Batch    207, Loss  0.903366, Average Loss  1.160815, Time  0.462809
2021-09-08 14:39:29.460316 : Epoch  1, Batch    208, Loss  0.867537, Average Loss  1.156147, Time  0.355053
2021-09-08 14:39:31.063746 : Epoch  1, Batch    209, Loss  0.894926, Average Loss  1.151712, Time  0.353506
2021-09-08 14:39:32.753765 : Epoch  1, Batch    210, Loss  0.894385, Average Loss  1.147315, Time  0.441706
2021-09-08 14:39:34.435668 : Epoch  1, Batch    211, Loss  0.872349, Average Loss  1.142858, Time  0.437142
2021-09-08 14:39:36.041491 : Epoch  1, Batch    212, Loss  0.876456, Average Loss  1.138574, Time  0.354277
2021-09-08 14:39:37.644529 : Epoch  1, Batch    213, Loss  0.878012, Average Loss  1.134283, Time  0.351644
2021-09-08 14:39:39.360760 : Epoch  1, Batch    214, Loss  0.871080, Average Loss  1.130042, Time  0.462980
2021-09-08 14:39:40.966910 : Epoch  1, Batch    215, Loss  0.886078, Average Loss  1.125878, Time  0.354695
2021-09-08 14:39:42.570384 : Epoch  1, Batch    216, Loss  0.875013, Average Loss  1.121765, Time  0.353104
2021-09-08 14:39:44.269535 : Epoch  1, Batch    217, Loss  0.846463, Average Loss  1.117463, Time  0.452234
2021-09-08 14:39:45.849490 : Epoch  1, Batch    218, Loss  0.877005, Average Loss  1.113440, Time  0.333358
2021-09-08 14:39:47.460616 : Epoch  1, Batch    219, Loss  0.876764, Average Loss  1.109457, Time  0.356071
2021-09-08 14:39:49.097038 : Epoch  1, Batch    220, Loss  0.889630, Average Loss  1.105420, Time  0.391317
2021-09-08 14:39:50.796657 : Epoch  1, Batch    221, Loss  0.876712, Average Loss  1.101370, Time  0.450496
2021-09-08 14:39:52.397420 : Epoch  1, Batch    222, Loss  0.897226, Average Loss  1.097379, Time  0.352301
2021-09-08 14:39:53.994755 : Epoch  1, Batch    223, Loss  0.877134, Average Loss  1.093231, Time  0.352601
2021-09-08 14:39:55.702517 : Epoch  1, Batch    224, Loss  0.861667, Average Loss  1.089174, Time  0.459985
2021-09-08 14:39:57.307383 : Epoch  1, Batch    225, Loss  0.868284, Average Loss  1.085090, Time  0.352418
2021-09-08 14:39:58.912122 : Epoch  1, Batch    226, Loss  0.887100, Average Loss  1.081220, Time  0.353830
2021-09-08 14:40:00.617846 : Epoch  1, Batch    227, Loss  0.870665, Average Loss  1.077261, Time  0.455374
2021-09-08 14:40:02.309478 : Epoch  1, Batch    228, Loss  0.882379, Average Loss  1.073373, Time  0.440120
2021-09-08 14:40:03.915307 : Epoch  1, Batch    229, Loss  0.883160, Average Loss  1.069402, Time  0.352865
2021-09-08 14:40:05.520878 : Epoch  1, Batch    230, Loss  0.862821, Average Loss  1.065331, Time  0.352353
2021-09-08 14:40:07.225069 : Epoch  1, Batch    231, Loss  0.892345, Average Loss  1.061524, Time  0.461293
2021-09-08 14:40:08.828167 : Epoch  1, Batch    232, Loss  0.892034, Average Loss  1.057701, Time  0.353213
2021-09-08 14:40:10.435089 : Epoch  1, Batch    233, Loss  0.938083, Average Loss  1.054099, Time  0.351875
2021-09-08 14:40:12.127038 : Epoch  1, Batch    234, Loss  0.874732, Average Loss  1.050118, Time  0.439515
2021-09-08 14:40:13.821156 : Epoch  1, Batch    235, Loss  0.900360, Average Loss  1.046334, Time  0.442196
2021-09-08 14:40:15.422772 : Epoch  1, Batch    236, Loss  0.906853, Average Loss  1.042573, Time  0.354441
2021-09-08 14:40:17.029845 : Epoch  1, Batch    237, Loss  0.891120, Average Loss  1.038747, Time  0.355576
2021-09-08 14:40:18.749810 : Epoch  1, Batch    238, Loss  0.874617, Average Loss  1.034863, Time  0.464458
2021-09-08 14:40:20.346635 : Epoch  1, Batch    239, Loss  0.868921, Average Loss  1.031090, Time  0.352914
2021-09-08 14:40:21.948786 : Epoch  1, Batch    240, Loss  0.880193, Average Loss  1.027256, Time  0.353743
2021-09-08 14:40:23.652083 : Epoch  1, Batch    241, Loss  0.876335, Average Loss  1.023498, Time  0.441136
2021-09-08 14:40:25.341958 : Epoch  1, Batch    242, Loss  0.908049, Average Loss  1.019698, Time  0.438725
2021-09-08 14:40:26.961227 : Epoch  1, Batch    243, Loss  0.863488, Average Loss  1.015784, Time  0.353973
2021-09-08 14:40:28.577426 : Epoch  1, Batch    244, Loss  0.885534, Average Loss  1.012021, Time  0.354148
2021-09-08 14:40:30.310280 : Epoch  1, Batch    245, Loss  0.878638, Average Loss  1.008246, Time  0.462383
2021-09-08 14:40:31.936767 : Epoch  1, Batch    246, Loss  0.887401, Average Loss  1.004504, Time  0.354575
2021-09-08 14:40:33.557408 : Epoch  1, Batch    247, Loss  0.864693, Average Loss  1.000626, Time  0.355019
2021-09-08 14:40:35.270388 : Epoch  1, Batch    248, Loss  0.899270, Average Loss  0.997071, Time  0.444788
2021-09-08 14:40:36.969838 : Epoch  1, Batch    249, Loss  0.887174, Average Loss  0.993433, Time  0.426531
2021-09-08 14:40:38.596627 : Epoch  1, Batch    250, Loss  0.888970, Average Loss  0.989862, Time  0.353690
2021-09-08 14:40:40.216677 : Epoch  1, Batch    251, Loss  0.850253, Average Loss  0.985956, Time  0.353133
2021-09-08 14:40:41.932975 : Epoch  1, Batch    252, Loss  0.848372, Average Loss  0.982178, Time  0.453705
2021-09-08 14:40:43.555411 : Epoch  1, Batch    253, Loss  0.905784, Average Loss  0.978712, Time  0.352591
2021-09-08 14:40:45.162139 : Epoch  1, Batch    254, Loss  0.876056, Average Loss  0.975155, Time  0.354153
2021-09-08 14:40:46.877468 : Epoch  1, Batch    255, Loss  0.870087, Average Loss  0.971723, Time  0.462883
2021-09-08 14:40:48.508579 : Epoch  1, Batch    256, Loss  0.875911, Average Loss  0.968224, Time  0.354768
2021-09-08 14:40:50.125273 : Epoch  1, Batch    257, Loss  0.884221, Average Loss  0.964825, Time  0.354594
2021-09-08 14:40:51.827084 : Epoch  1, Batch    258, Loss  0.885580, Average Loss  0.961519, Time  0.448896
2021-09-08 14:40:53.517816 : Epoch  1, Batch    259, Loss  0.898131, Average Loss  0.958500, Time  0.426825
2021-09-08 14:40:55.136403 : Epoch  1, Batch    260, Loss  0.880099, Average Loss  0.955560, Time  0.355271
2021-09-08 14:40:56.746120 : Epoch  1, Batch    261, Loss  0.863732, Average Loss  0.952858, Time  0.354892
2021-09-08 14:40:58.469775 : Epoch  1, Batch    262, Loss  0.887289, Average Loss  0.950385, Time  0.460760
2021-09-08 14:41:00.086969 : Epoch  1, Batch    263, Loss  0.887344, Average Loss  0.948028, Time  0.355510
2021-09-08 14:41:01.699069 : Epoch  1, Batch    264, Loss  0.908196, Average Loss  0.945600, Time  0.353080
2021-09-08 14:41:03.413694 : Epoch  1, Batch    265, Loss  0.880629, Average Loss  0.943409, Time  0.460982
2021-09-08 14:41:05.088793 : Epoch  1, Batch    266, Loss  0.895136, Average Loss  0.941263, Time  0.409263
2021-09-08 14:41:06.696561 : Epoch  1, Batch    267, Loss  0.893005, Average Loss  0.939056, Time  0.356237
2021-09-08 14:41:08.312868 : Epoch  1, Batch    268, Loss  0.873929, Average Loss  0.936938, Time  0.353141
2021-09-08 14:41:10.031756 : Epoch  1, Batch    269, Loss  0.856712, Average Loss  0.934763, Time  0.458801
2021-09-08 14:41:11.646529 : Epoch  1, Batch    270, Loss  0.860656, Average Loss  0.932666, Time  0.356712
2021-09-08 14:41:13.257329 : Epoch  1, Batch    271, Loss  0.878046, Average Loss  0.930627, Time  0.353109
2021-09-08 14:41:14.981147 : Epoch  1, Batch    272, Loss  0.879219, Average Loss  0.928391, Time  0.461398
2021-09-08 14:41:16.588516 : Epoch  1, Batch    273, Loss  0.872235, Average Loss  0.926355, Time  0.345099
2021-09-08 14:41:18.203854 : Epoch  1, Batch    274, Loss  0.855390, Average Loss  0.924379, Time  0.354686
2021-09-08 14:41:19.842775 : Epoch  1, Batch    275, Loss  0.853717, Average Loss  0.922525, Time  0.379689
2021-09-08 14:41:21.535648 : Epoch  1, Batch    276, Loss  0.878217, Average Loss  0.920912, Time  0.449769
2021-09-08 14:41:23.151337 : Epoch  1, Batch    277, Loss  0.882971, Average Loss  0.919253, Time  0.353080
2021-09-08 14:41:24.762158 : Epoch  1, Batch    278, Loss  0.854950, Average Loss  0.917530, Time  0.353061
2021-09-08 14:41:26.482937 : Epoch  1, Batch    279, Loss  0.898760, Average Loss  0.916287, Time  0.463794
2021-09-08 14:41:28.093075 : Epoch  1, Batch    280, Loss  0.868183, Average Loss  0.914688, Time  0.352463
2021-09-08 14:41:29.713150 : Epoch  1, Batch    281, Loss  0.867869, Average Loss  0.913017, Time  0.354641
2021-09-08 14:41:31.420735 : Epoch  1, Batch    282, Loss  0.879447, Average Loss  0.911697, Time  0.452964
2021-09-08 14:41:33.003734 : Epoch  1, Batch    283, Loss  0.869974, Average Loss  0.910335, Time  0.321327
2021-09-08 14:41:34.615300 : Epoch  1, Batch    284, Loss  0.847335, Average Loss  0.908827, Time  0.354441
2021-09-08 14:41:36.284801 : Epoch  1, Batch    285, Loss  0.899651, Average Loss  0.907561, Time  0.423218
2021-09-08 14:41:37.968957 : Epoch  1, Batch    286, Loss  0.861436, Average Loss  0.906044, Time  0.438958
2021-09-08 14:41:39.561187 : Epoch  1, Batch    287, Loss  0.860070, Average Loss  0.904784, Time  0.354216
2021-09-08 14:41:41.158710 : Epoch  1, Batch    288, Loss  0.867323, Average Loss  0.903467, Time  0.352460
2021-09-08 14:41:42.866690 : Epoch  1, Batch    289, Loss  0.885146, Average Loss  0.902478, Time  0.460305
2021-09-08 14:41:44.482039 : Epoch  1, Batch    290, Loss  0.829229, Average Loss  0.901151, Time  0.355529
2021-09-08 14:41:46.095839 : Epoch  1, Batch    291, Loss  0.865948, Average Loss  0.900084, Time  0.354430
2021-09-08 14:41:47.807261 : Epoch  1, Batch    292, Loss  0.871775, Average Loss  0.899089, Time  0.458219
2021-09-08 14:41:49.476107 : Epoch  1, Batch    293, Loss  0.888721, Average Loss  0.898217, Time  0.409092
2021-09-08 14:41:51.085075 : Epoch  1, Batch    294, Loss  0.886066, Average Loss  0.897403, Time  0.355177
2021-09-08 14:41:52.703747 : Epoch  1, Batch    295, Loss  0.874143, Average Loss  0.896652, Time  0.352621
2021-09-08 14:41:54.419464 : Epoch  1, Batch    296, Loss  0.878438, Average Loss  0.895745, Time  0.456272
2021-09-08 14:41:56.033992 : Epoch  1, Batch    297, Loss  0.854119, Average Loss  0.894939, Time  0.357520
2021-09-08 14:41:57.649137 : Epoch  1, Batch    298, Loss  0.867894, Average Loss  0.894314, Time  0.356306
2021-09-08 14:41:59.369299 : Epoch  1, Batch    299, Loss  0.863952, Average Loss  0.893652, Time  0.461307
2021-09-08 14:42:01.023384 : Epoch  1, Batch    300, Loss  0.893265, Average Loss  0.892862, Time  0.389276
2021-09-08 14:46:23.172566 : CheckPoint: Validation Loss  0.00060252, Best Loss  0.00059064
2021-09-08 14:46:24.782694 : Epoch  1, Batch    301, Loss  0.895777, Average Loss  0.892334, Time  0.354524
2021-09-08 14:46:26.499906 : Epoch  1, Batch    302, Loss  0.879028, Average Loss  0.891817, Time  0.455846
2021-09-08 14:46:28.114915 : Epoch  1, Batch    303, Loss  0.877047, Average Loss  0.891349, Time  0.354325
2021-09-08 14:46:29.726318 : Epoch  1, Batch    304, Loss  0.879194, Average Loss  0.890912, Time  0.354957
2021-09-08 14:46:31.550467 : Epoch  1, Batch    305, Loss  0.873966, Average Loss  0.890490, Time  0.457557
2021-09-08 14:46:33.326945 : Epoch  1, Batch    306, Loss  0.867112, Average Loss  0.890040, Time  0.361857
2021-09-08 14:46:35.175140 : Epoch  1, Batch    307, Loss  0.851254, Average Loss  0.889436, Time  0.371174
2021-09-08 14:46:37.030347 : Epoch  1, Batch    308, Loss  0.898025, Average Loss  0.889062, Time  0.408059
2021-09-08 14:46:38.804488 : Epoch  1, Batch    309, Loss  0.858390, Average Loss  0.888729, Time  0.451288
2021-09-08 14:46:40.485625 : Epoch  1, Batch    310, Loss  0.905451, Average Loss  0.888617, Time  0.358572
2021-09-08 14:46:42.163501 : Epoch  1, Batch    311, Loss  0.861218, Average Loss  0.888209, Time  0.357186
2021-09-08 14:46:43.949119 : Epoch  1, Batch    312, Loss  0.878212, Average Loss  0.887699, Time  0.460272
2021-09-08 14:46:45.636819 : Epoch  1, Batch    313, Loss  0.878940, Average Loss  0.887420, Time  0.356021
2021-09-08 14:46:47.315229 : Epoch  1, Batch    314, Loss  0.855845, Average Loss  0.886904, Time  0.358138
2021-09-08 14:46:49.078800 : Epoch  1, Batch    315, Loss  0.919847, Average Loss  0.886738, Time  0.448539
2021-09-08 14:46:50.804821 : Epoch  1, Batch    316, Loss  0.874063, Average Loss  0.886254, Time  0.416249
2021-09-08 14:46:52.463049 : Epoch  1, Batch    317, Loss  0.852729, Average Loss  0.885745, Time  0.355758
2021-09-08 14:46:54.124792 : Epoch  1, Batch    318, Loss  0.922790, Average Loss  0.885565, Time  0.356270
2021-09-08 14:46:55.887999 : Epoch  1, Batch    319, Loss  0.862229, Average Loss  0.885304, Time  0.453979
2021-09-08 14:46:57.567494 : Epoch  1, Batch    320, Loss  0.860749, Average Loss  0.884941, Time  0.360273
2021-09-08 14:46:59.236823 : Epoch  1, Batch    321, Loss  0.879575, Average Loss  0.884564, Time  0.355935
2021-09-08 14:47:01.000752 : Epoch  1, Batch    322, Loss  0.858269, Average Loss  0.884185, Time  0.459464
2021-09-08 14:47:02.665813 : Epoch  1, Batch    323, Loss  0.887014, Average Loss  0.884166, Time  0.356251
2021-09-08 14:47:04.327136 : Epoch  1, Batch    324, Loss  0.853983, Average Loss  0.883880, Time  0.355428
2021-09-08 14:47:06.103705 : Epoch  1, Batch    325, Loss  0.888373, Average Loss  0.883739, Time  0.456608
2021-09-08 14:47:07.764898 : Epoch  1, Batch    326, Loss  0.849291, Average Loss  0.883381, Time  0.356100
2021-09-08 14:47:09.438404 : Epoch  1, Batch    327, Loss  0.873711, Average Loss  0.883172, Time  0.358175
2021-09-08 14:47:11.213069 : Epoch  1, Batch    328, Loss  0.867387, Average Loss  0.882898, Time  0.453584
2021-09-08 14:47:12.943497 : Epoch  1, Batch    329, Loss  0.848267, Average Loss  0.882481, Time  0.404315
2021-09-08 14:47:14.611413 : Epoch  1, Batch    330, Loss  0.884309, Average Loss  0.882349, Time  0.357993
2021-09-08 14:47:16.266088 : Epoch  1, Batch    331, Loss  0.897150, Average Loss  0.882338, Time  0.356405
2021-09-08 14:47:18.030431 : Epoch  1, Batch    332, Loss  0.870875, Average Loss  0.882177, Time  0.453824
2021-09-08 14:47:19.703287 : Epoch  1, Batch    333, Loss  0.884887, Average Loss  0.882146, Time  0.356297
2021-09-08 14:47:21.371405 : Epoch  1, Batch    334, Loss  0.885530, Average Loss  0.881828, Time  0.356620
2021-09-08 14:47:23.139047 : Epoch  1, Batch    335, Loss  0.885567, Average Loss  0.881596, Time  0.456958
2021-09-08 14:47:24.804597 : Epoch  1, Batch    336, Loss  0.857853, Average Loss  0.881462, Time  0.357153
2021-09-08 14:47:26.465026 : Epoch  1, Batch    337, Loss  0.860319, Average Loss  0.881207, Time  0.357045
2021-09-08 14:47:28.238992 : Epoch  1, Batch    338, Loss  0.862646, Average Loss  0.881099, Time  0.457896
2021-09-08 14:47:29.973403 : Epoch  1, Batch    339, Loss  0.898175, Average Loss  0.880946, Time  0.408661
2021-09-08 14:47:31.653329 : Epoch  1, Batch    340, Loss  0.887762, Average Loss  0.880942, Time  0.358629
2021-09-08 14:47:33.332935 : Epoch  1, Batch    341, Loss  0.845599, Average Loss  0.880590, Time  0.356408
2021-09-08 14:47:35.107790 : Epoch  1, Batch    342, Loss  0.875699, Average Loss  0.880440, Time  0.455602
2021-09-08 14:47:36.787178 : Epoch  1, Batch    343, Loss  0.849449, Average Loss  0.879948, Time  0.359940
2021-09-08 14:47:38.457953 : Epoch  1, Batch    344, Loss  0.871662, Average Loss  0.879827, Time  0.356487
2021-09-08 14:47:40.212040 : Epoch  1, Batch    345, Loss  0.882686, Average Loss  0.880026, Time  0.456408
2021-09-08 14:47:41.893490 : Epoch  1, Batch    346, Loss  0.867082, Average Loss  0.879901, Time  0.356828
2021-09-08 14:47:43.569956 : Epoch  1, Batch    347, Loss  0.906846, Average Loss  0.880121, Time  0.356973
2021-09-08 14:47:45.342746 : Epoch  1, Batch    348, Loss  0.871292, Average Loss  0.879970, Time  0.439461
2021-09-08 14:47:47.115086 : Epoch  1, Batch    349, Loss  0.858902, Average Loss  0.879843, Time  0.447379
2021-09-08 14:47:48.795246 : Epoch  1, Batch    350, Loss  0.904047, Average Loss  0.879816, Time  0.357229
2021-09-08 14:47:50.470387 : Epoch  1, Batch    351, Loss  0.866861, Average Loss  0.879824, Time  0.357137
2021-09-08 14:47:52.251102 : Epoch  1, Batch    352, Loss  0.858753, Average Loss  0.879702, Time  0.453778
2021-09-08 14:47:53.928105 : Epoch  1, Batch    353, Loss  0.896844, Average Loss  0.879691, Time  0.359622
2021-09-08 14:47:55.579142 : Epoch  1, Batch    354, Loss  0.875809, Average Loss  0.879480, Time  0.356359
2021-09-08 14:47:57.360424 : Epoch  1, Batch    355, Loss  0.863395, Average Loss  0.879224, Time  0.450634
2021-09-08 14:47:59.044775 : Epoch  1, Batch    356, Loss  0.852483, Average Loss  0.879182, Time  0.361046
2021-09-08 14:48:00.718294 : Epoch  1, Batch    357, Loss  0.838055, Average Loss  0.878875, Time  0.357746
2021-09-08 14:48:02.498139 : Epoch  1, Batch    358, Loss  0.865030, Average Loss  0.878891, Time  0.457942
2021-09-08 14:48:04.162295 : Epoch  1, Batch    359, Loss  0.896381, Average Loss  0.878753, Time  0.351125
2021-09-08 14:48:05.832902 : Epoch  1, Batch    360, Loss  0.881002, Average Loss  0.878744, Time  0.356384
2021-09-08 14:48:07.597841 : Epoch  1, Batch    361, Loss  0.897843, Average Loss  0.878639, Time  0.446199
2021-09-08 14:48:09.290546 : Epoch  1, Batch    362, Loss  0.872025, Average Loss  0.878588, Time  0.394276
2021-09-08 14:48:10.952401 : Epoch  1, Batch    363, Loss  0.846678, Average Loss  0.878298, Time  0.359492
2021-09-08 14:48:12.609231 : Epoch  1, Batch    364, Loss  0.900937, Average Loss  0.878435, Time  0.358398
2021-09-08 14:48:14.365902 : Epoch  1, Batch    365, Loss  0.889165, Average Loss  0.878443, Time  0.450014
2021-09-08 14:48:16.036533 : Epoch  1, Batch    366, Loss  0.880642, Average Loss  0.878369, Time  0.357509
2021-09-08 14:48:17.689681 : Epoch  1, Batch    367, Loss  0.879571, Average Loss  0.878228, Time  0.355658
2021-09-08 14:48:19.434004 : Epoch  1, Batch    368, Loss  0.848567, Average Loss  0.877895, Time  0.457908
2021-09-08 14:48:21.092033 : Epoch  1, Batch    369, Loss  0.887665, Average Loss  0.877941, Time  0.356571
2021-09-08 14:48:22.756663 : Epoch  1, Batch    370, Loss  0.875288, Average Loss  0.877864, Time  0.355782
2021-09-08 14:48:24.530180 : Epoch  1, Batch    371, Loss  0.884859, Average Loss  0.877750, Time  0.457606
2021-09-08 14:48:26.245507 : Epoch  1, Batch    372, Loss  0.865758, Average Loss  0.877692, Time  0.388727
2021-09-08 14:48:27.925843 : Epoch  1, Batch    373, Loss  0.908354, Average Loss  0.877912, Time  0.355746
2021-09-08 14:48:29.583843 : Epoch  1, Batch    374, Loss  0.874829, Average Loss  0.877814, Time  0.354853
2021-09-08 14:48:31.349118 : Epoch  1, Batch    375, Loss  0.869947, Average Loss  0.877700, Time  0.452137
2021-09-08 14:48:33.024157 : Epoch  1, Batch    376, Loss  0.865889, Average Loss  0.877585, Time  0.358770
2021-09-08 14:48:34.701236 : Epoch  1, Batch    377, Loss  0.894579, Average Loss  0.877682, Time  0.355733
2021-09-08 14:48:36.449219 : Epoch  1, Batch    378, Loss  0.896250, Average Loss  0.877743, Time  0.459617
2021-09-08 14:48:38.087652 : Epoch  1, Batch    379, Loss  0.896162, Average Loss  0.877918, Time  0.353057
2021-09-08 14:48:39.688866 : Epoch  1, Batch    380, Loss  0.851799, Average Loss  0.877699, Time  0.355739
2021-09-08 14:48:41.437005 : Epoch  1, Batch    381, Loss  0.909850, Average Loss  0.877856, Time  0.455622
2021-09-08 14:48:43.149265 : Epoch  1, Batch    382, Loss  0.870734, Average Loss  0.877872, Time  0.407093
2021-09-08 14:48:44.814593 : Epoch  1, Batch    383, Loss  0.876770, Average Loss  0.877745, Time  0.356757
2021-09-08 14:48:46.478720 : Epoch  1, Batch    384, Loss  0.880387, Average Loss  0.877671, Time  0.355837
2021-09-08 14:48:48.231263 : Epoch  1, Batch    385, Loss  0.882460, Average Loss  0.877614, Time  0.456377
2021-09-08 14:48:49.873729 : Epoch  1, Batch    386, Loss  0.909344, Average Loss  0.877792, Time  0.356663
2021-09-08 14:48:51.514700 : Epoch  1, Batch    387, Loss  0.885550, Average Loss  0.877936, Time  0.354602
2021-09-08 14:48:53.271571 : Epoch  1, Batch    388, Loss  0.861976, Average Loss  0.877942, Time  0.456588
2021-09-08 14:48:54.937624 : Epoch  1, Batch    389, Loss  0.899925, Average Loss  0.877945, Time  0.360897
2021-09-08 14:48:56.602296 : Epoch  1, Batch    390, Loss  0.874598, Average Loss  0.877891, Time  0.354960
2021-09-08 14:48:58.354908 : Epoch  1, Batch    391, Loss  0.890429, Average Loss  0.877993, Time  0.461249
2021-09-08 14:49:00.045280 : Epoch  1, Batch    392, Loss  0.876526, Average Loss  0.878051, Time  0.382750
2021-09-08 14:49:01.703081 : Epoch  1, Batch    393, Loss  0.851875, Average Loss  0.877836, Time  0.355742
2021-09-08 14:49:03.341833 : Epoch  1, Batch    394, Loss  0.865866, Average Loss  0.877769, Time  0.352709
2021-09-08 14:49:05.089679 : Epoch  1, Batch    395, Loss  0.868100, Average Loss  0.877788, Time  0.453874
2021-09-08 14:49:06.724857 : Epoch  1, Batch    396, Loss  0.905043, Average Loss  0.877853, Time  0.354511
2021-09-08 14:49:08.370574 : Epoch  1, Batch    397, Loss  0.860909, Average Loss  0.877610, Time  0.355827
2021-09-08 14:49:10.124638 : Epoch  1, Batch    398, Loss  0.870323, Average Loss  0.877526, Time  0.461543
2021-09-08 14:49:11.766089 : Epoch  1, Batch    399, Loss  0.903986, Average Loss  0.877485, Time  0.357408
2021-09-08 14:49:13.405750 : Epoch  1, Batch    400, Loss  0.864097, Average Loss  0.877323, Time  0.355236
2021-09-08 14:53:41.975713 : CheckPoint: Validation Loss  0.00058797, Best Loss  0.00058797
2021-09-08 14:53:41.999745 : Best Model Updated
2021-09-08 14:53:46.520341 : Epoch  1, Batch    401, Loss  0.879887, Average Loss  0.877339, Time  0.366342
2021-09-08 14:53:48.150812 : Epoch  1, Batch    402, Loss  0.884070, Average Loss  0.877353, Time  0.353574
2021-09-08 14:53:49.789121 : Epoch  1, Batch    403, Loss  0.849381, Average Loss  0.877312, Time  0.356673
2021-09-08 14:53:51.531924 : Epoch  1, Batch    404, Loss  0.892596, Average Loss  0.877439, Time  0.448699
2021-09-08 14:53:53.156919 : Epoch  1, Batch    405, Loss  0.857008, Average Loss  0.877251, Time  0.354760
2021-09-08 14:53:54.858042 : Epoch  1, Batch    406, Loss  0.841654, Average Loss  0.877052, Time  0.429777
2021-09-08 14:53:56.497034 : Epoch  1, Batch    407, Loss  0.875114, Average Loss  0.876911, Time  0.356431
2021-09-08 14:53:58.102247 : Epoch  1, Batch    408, Loss  0.858177, Average Loss  0.876864, Time  0.356762
2021-09-08 14:53:59.702868 : Epoch  1, Batch    409, Loss  0.846782, Average Loss  0.876624, Time  0.357403
2021-09-08 14:54:01.340243 : Epoch  1, Batch    410, Loss  0.864226, Average Loss  0.876473, Time  0.354449
2021-09-08 14:54:02.967145 : Epoch  1, Batch    411, Loss  0.864690, Average Loss  0.876434, Time  0.356849
2021-09-08 14:54:04.590544 : Epoch  1, Batch    412, Loss  0.889581, Average Loss  0.876500, Time  0.357303
2021-09-08 14:54:06.219415 : Epoch  1, Batch    413, Loss  0.852214, Average Loss  0.876371, Time  0.354468
2021-09-08 14:54:07.857102 : Epoch  1, Batch    414, Loss  0.866579, Average Loss  0.876349, Time  0.355941
2021-09-08 14:54:09.546869 : Epoch  1, Batch    415, Loss  0.879150, Average Loss  0.876314, Time  0.403162
2021-09-08 14:54:11.202709 : Epoch  1, Batch    416, Loss  0.872236, Average Loss  0.876300, Time  0.356152
2021-09-08 14:54:12.932739 : Epoch  1, Batch    417, Loss  0.889640, Average Loss  0.876516, Time  0.440081
2021-09-08 14:54:14.563499 : Epoch  1, Batch    418, Loss  0.836463, Average Loss  0.876313, Time  0.355877
2021-09-08 14:54:16.204360 : Epoch  1, Batch    419, Loss  0.894660, Average Loss  0.876403, Time  0.354770
2021-09-08 14:54:17.850422 : Epoch  1, Batch    420, Loss  0.880405, Average Loss  0.876357, Time  0.357406
2021-09-08 14:54:19.510122 : Epoch  1, Batch    421, Loss  0.909916, Average Loss  0.876523, Time  0.355509
2021-09-08 14:54:21.137385 : Epoch  1, Batch    422, Loss  0.889192, Average Loss  0.876482, Time  0.353520
2021-09-08 14:54:22.763441 : Epoch  1, Batch    423, Loss  0.874227, Average Loss  0.876468, Time  0.353842
2021-09-08 14:54:24.454930 : Epoch  1, Batch    424, Loss  0.871068, Average Loss  0.876515, Time  0.408690
2021-09-08 14:54:26.108610 : Epoch  1, Batch    425, Loss  0.812605, Average Loss  0.876237, Time  0.354069
2021-09-08 14:54:27.813444 : Epoch  1, Batch    426, Loss  0.856793, Average Loss  0.876085, Time  0.431499
2021-09-08 14:54:29.456093 : Epoch  1, Batch    427, Loss  0.824452, Average Loss  0.875854, Time  0.355814
2021-09-08 14:54:31.095950 : Epoch  1, Batch    428, Loss  0.861946, Average Loss  0.875752, Time  0.354160
2021-09-08 14:54:32.752165 : Epoch  1, Batch    429, Loss  0.852028, Average Loss  0.875596, Time  0.357892
2021-09-08 14:54:34.406538 : Epoch  1, Batch    430, Loss  0.859459, Average Loss  0.875579, Time  0.354564
2021-09-08 14:54:36.054885 : Epoch  1, Batch    431, Loss  0.902234, Average Loss  0.875629, Time  0.352996
2021-09-08 14:54:37.706616 : Epoch  1, Batch    432, Loss  0.858624, Average Loss  0.875462, Time  0.356404
2021-09-08 14:54:39.475015 : Epoch  1, Batch    433, Loss  0.880134, Average Loss  0.875172, Time  0.468667
2021-09-08 14:54:41.128322 : Epoch  1, Batch    434, Loss  0.878078, Average Loss  0.875189, Time  0.354671
2021-09-08 14:54:42.804892 : Epoch  1, Batch    435, Loss  0.876609, Average Loss  0.875070, Time  0.386921
2021-09-08 14:54:44.438049 : Epoch  1, Batch    436, Loss  0.888540, Average Loss  0.874978, Time  0.354312
2021-09-08 14:54:46.072280 : Epoch  1, Batch    437, Loss  0.866652, Average Loss  0.874856, Time  0.354023
2021-09-08 14:54:47.704544 : Epoch  1, Batch    438, Loss  0.864367, Average Loss  0.874805, Time  0.357013
2021-09-08 14:54:49.348223 : Epoch  1, Batch    439, Loss  0.874327, Average Loss  0.874832, Time  0.357740
2021-09-08 14:54:51.044476 : Epoch  1, Batch    440, Loss  0.893065, Average Loss  0.874896, Time  0.397761
2021-09-08 14:54:52.705782 : Epoch  1, Batch    441, Loss  0.909993, Average Loss  0.875064, Time  0.355719
2021-09-08 14:54:54.425972 : Epoch  1, Batch    442, Loss  0.908265, Average Loss  0.875066, Time  0.424390
2021-09-08 14:54:56.080373 : Epoch  1, Batch    443, Loss  0.866867, Average Loss  0.875082, Time  0.357027
2021-09-08 14:54:57.732739 : Epoch  1, Batch    444, Loss  0.885731, Average Loss  0.875083, Time  0.355922
2021-09-08 14:54:59.392504 : Epoch  1, Batch    445, Loss  0.864741, Average Loss  0.875014, Time  0.355614
2021-09-08 14:55:01.048348 : Epoch  1, Batch    446, Loss  0.879106, Average Loss  0.874972, Time  0.355148
2021-09-08 14:55:02.720222 : Epoch  1, Batch    447, Loss  0.863985, Average Loss  0.874969, Time  0.375042
2021-09-08 14:55:04.353068 : Epoch  1, Batch    448, Loss  0.880169, Average Loss  0.874873, Time  0.355353
2021-09-08 14:55:06.098191 : Epoch  1, Batch    449, Loss  0.877267, Average Loss  0.874824, Time  0.465134
2021-09-08 14:55:07.736186 : Epoch  1, Batch    450, Loss  0.849813, Average Loss  0.874628, Time  0.355455
2021-09-08 14:55:09.368469 : Epoch  1, Batch    451, Loss  0.864591, Average Loss  0.874700, Time  0.354245
2021-09-08 14:55:11.005737 : Epoch  1, Batch    452, Loss  0.866903, Average Loss  0.874792, Time  0.358842
2021-09-08 14:55:12.638229 : Epoch  1, Batch    453, Loss  0.885941, Average Loss  0.874693, Time  0.354685
2021-09-08 14:55:14.278292 : Epoch  1, Batch    454, Loss  0.856855, Average Loss  0.874597, Time  0.354744
2021-09-08 14:55:15.909459 : Epoch  1, Batch    455, Loss  0.841608, Average Loss  0.874455, Time  0.353573
2021-09-08 14:55:17.541346 : Epoch  1, Batch    456, Loss  0.886995, Average Loss  0.874510, Time  0.348837
2021-09-08 14:55:19.173939 : Epoch  1, Batch    457, Loss  0.892083, Average Loss  0.874550, Time  0.353276
2021-09-08 14:55:20.940343 : Epoch  1, Batch    458, Loss  0.873343, Average Loss  0.874488, Time  0.469815
2021-09-08 14:55:22.592779 : Epoch  1, Batch    459, Loss  0.867598, Average Loss  0.874336, Time  0.355581
2021-09-08 14:55:24.252932 : Epoch  1, Batch    460, Loss  0.845052, Average Loss  0.874160, Time  0.355950
2021-09-08 14:55:25.914763 : Epoch  1, Batch    461, Loss  0.819288, Average Loss  0.873938, Time  0.358433
2021-09-08 14:55:27.572630 : Epoch  1, Batch    462, Loss  0.842569, Average Loss  0.873715, Time  0.355286
2021-09-08 14:55:29.367621 : Epoch  1, Batch    463, Loss  0.901137, Average Loss  0.873784, Time  0.430783
2021-09-08 14:55:31.019981 : Epoch  1, Batch    464, Loss  0.907331, Average Loss  0.873779, Time  0.356174
2021-09-08 14:55:32.762589 : Epoch  1, Batch    465, Loss  0.899951, Average Loss  0.873876, Time  0.437604
2021-09-08 14:55:34.418155 : Epoch  1, Batch    466, Loss  0.895447, Average Loss  0.873877, Time  0.357352
2021-09-08 14:55:36.070673 : Epoch  1, Batch    467, Loss  0.860477, Average Loss  0.873715, Time  0.355774
2021-09-08 14:55:37.719002 : Epoch  1, Batch    468, Loss  0.876038, Average Loss  0.873725, Time  0.355129
2021-09-08 14:55:39.369722 : Epoch  1, Batch    469, Loss  0.865934, Average Loss  0.873771, Time  0.356025
2021-09-08 14:55:41.096108 : Epoch  1, Batch    470, Loss  0.898774, Average Loss  0.873962, Time  0.436273
2021-09-08 14:55:42.748992 : Epoch  1, Batch    471, Loss  0.843998, Average Loss  0.873792, Time  0.355493
2021-09-08 14:55:44.435055 : Epoch  1, Batch    472, Loss  0.894782, Average Loss  0.873870, Time  0.410175
2021-09-08 14:55:46.043404 : Epoch  1, Batch    473, Loss  0.896073, Average Loss  0.873989, Time  0.353796
2021-09-08 14:55:47.672085 : Epoch  1, Batch    474, Loss  0.872164, Average Loss  0.874073, Time  0.354914
2021-09-08 14:55:49.309733 : Epoch  1, Batch    475, Loss  0.867303, Average Loss  0.874141, Time  0.356478
2021-09-08 14:55:50.944818 : Epoch  1, Batch    476, Loss  0.858589, Average Loss  0.874042, Time  0.356253
2021-09-08 14:55:52.597412 : Epoch  1, Batch    477, Loss  0.865074, Average Loss  0.873953, Time  0.355656
2021-09-08 14:55:54.249261 : Epoch  1, Batch    478, Loss  0.849701, Average Loss  0.873927, Time  0.355191
2021-09-08 14:55:55.985820 : Epoch  1, Batch    479, Loss  0.878560, Average Loss  0.873826, Time  0.441617
2021-09-08 14:55:57.623171 : Epoch  1, Batch    480, Loss  0.899856, Average Loss  0.873984, Time  0.354865
2021-09-08 14:55:59.315759 : Epoch  1, Batch    481, Loss  0.882085, Average Loss  0.874055, Time  0.408316
2021-09-08 14:56:00.959498 : Epoch  1, Batch    482, Loss  0.866650, Average Loss  0.873991, Time  0.356780
2021-09-08 14:56:02.611089 : Epoch  1, Batch    483, Loss  0.864992, Average Loss  0.873966, Time  0.354784
2021-09-08 14:56:04.264357 : Epoch  1, Batch    484, Loss  0.872620, Average Loss  0.874093, Time  0.355641
2021-09-08 14:56:05.904608 : Epoch  1, Batch    485, Loss  0.874980, Average Loss  0.873969, Time  0.355726
2021-09-08 14:56:07.544133 : Epoch  1, Batch    486, Loss  0.875781, Average Loss  0.874041, Time  0.354828
2021-09-08 14:56:09.182313 : Epoch  1, Batch    487, Loss  0.875390, Average Loss  0.874118, Time  0.356363
2021-09-08 14:56:10.887331 : Epoch  1, Batch    488, Loss  0.889697, Average Loss  0.874230, Time  0.418771
2021-09-08 14:56:12.526635 : Epoch  1, Batch    489, Loss  0.927967, Average Loss  0.874444, Time  0.356159
2021-09-08 14:56:14.249726 : Epoch  1, Batch    490, Loss  0.894137, Average Loss  0.874768, Time  0.439261
2021-09-08 14:56:15.889795 : Epoch  1, Batch    491, Loss  0.876333, Average Loss  0.874820, Time  0.354449
2021-09-08 14:56:17.546971 : Epoch  1, Batch    492, Loss  0.817757, Average Loss  0.874550, Time  0.356591
2021-09-08 14:56:19.208295 : Epoch  1, Batch    493, Loss  0.894275, Average Loss  0.874578, Time  0.355255
2021-09-08 14:56:20.860780 : Epoch  1, Batch    494, Loss  0.878758, Average Loss  0.874541, Time  0.355875
2021-09-08 14:56:22.589664 : Epoch  1, Batch    495, Loss  0.881729, Average Loss  0.874579, Time  0.423705
2021-09-08 14:56:24.237846 : Epoch  1, Batch    496, Loss  0.882518, Average Loss  0.874600, Time  0.355014
2021-09-08 14:56:25.943988 : Epoch  1, Batch    497, Loss  0.889729, Average Loss  0.874778, Time  0.423270
2021-09-08 14:56:27.581072 : Epoch  1, Batch    498, Loss  0.865944, Average Loss  0.874768, Time  0.355808
2021-09-08 14:56:29.220310 : Epoch  1, Batch    499, Loss  0.896599, Average Loss  0.874931, Time  0.354765
2021-09-08 14:56:30.864825 : Epoch  1, Batch    500, Loss  0.898634, Average Loss  0.874958, Time  0.356885
2021-09-08 15:00:59.474540 : CheckPoint: Validation Loss  0.00058889, Best Loss  0.00058797
2021-09-08 15:01:01.066169 : Epoch  1, Batch    501, Loss  0.869749, Average Loss  0.874828, Time  0.353801
2021-09-08 15:01:02.787888 : Epoch  1, Batch    502, Loss  0.897856, Average Loss  0.874922, Time  0.440932
2021-09-08 15:01:04.405571 : Epoch  1, Batch    503, Loss  0.865481, Average Loss  0.874864, Time  0.357210
2021-09-08 15:01:06.037648 : Epoch  1, Batch    504, Loss  0.906144, Average Loss  0.874999, Time  0.353273
2021-09-08 15:01:07.677307 : Epoch  1, Batch    505, Loss  0.892519, Average Loss  0.875092, Time  0.356158
2021-09-08 15:01:09.277507 : Epoch  1, Batch    506, Loss  0.880099, Average Loss  0.875157, Time  0.353143
2021-09-08 15:01:11.022981 : Epoch  1, Batch    507, Loss  0.914517, Average Loss  0.875473, Time  0.462162
2021-09-08 15:01:12.667173 : Epoch  1, Batch    508, Loss  0.882197, Average Loss  0.875394, Time  0.356415
2021-09-08 15:01:14.307170 : Epoch  1, Batch    509, Loss  0.882882, Average Loss  0.875516, Time  0.355236
2021-09-08 15:01:16.046068 : Epoch  1, Batch    510, Loss  0.884506, Average Loss  0.875411, Time  0.453038
2021-09-08 15:01:17.785546 : Epoch  1, Batch    511, Loss  0.913470, Average Loss  0.875673, Time  0.453702
2021-09-08 15:01:19.428984 : Epoch  1, Batch    512, Loss  0.867465, Average Loss  0.875619, Time  0.356634
2021-09-08 15:01:21.070568 : Epoch  1, Batch    513, Loss  0.876979, Average Loss  0.875609, Time  0.355063
2021-09-08 15:01:22.812227 : Epoch  1, Batch    514, Loss  0.856157, Average Loss  0.875611, Time  0.452909
2021-09-08 15:01:24.512513 : Epoch  1, Batch    515, Loss  0.851731, Average Loss  0.875270, Time  0.442194
2021-09-08 15:01:26.157536 : Epoch  1, Batch    516, Loss  0.862416, Average Loss  0.875212, Time  0.355713
2021-09-08 15:01:27.772127 : Epoch  1, Batch    517, Loss  0.871036, Average Loss  0.875303, Time  0.353558
2021-09-08 15:01:29.525484 : Epoch  1, Batch    518, Loss  0.842184, Average Loss  0.874900, Time  0.460371
2021-09-08 15:01:31.123434 : Epoch  1, Batch    519, Loss  0.876499, Average Loss  0.874972, Time  0.357307
2021-09-08 15:01:32.747227 : Epoch  1, Batch    520, Loss  0.871739, Average Loss  0.875027, Time  0.354524
2021-09-08 15:01:34.460368 : Epoch  1, Batch    521, Loss  0.914382, Average Loss  0.875201, Time  0.461215
2021-09-08 15:01:36.072346 : Epoch  1, Batch    522, Loss  0.867836, Average Loss  0.875249, Time  0.355428
2021-09-08 15:01:37.681858 : Epoch  1, Batch    523, Loss  0.903580, Average Loss  0.875331, Time  0.354411
2021-09-08 15:01:39.324011 : Epoch  1, Batch    524, Loss  0.882696, Average Loss  0.875475, Time  0.384874
2021-09-08 15:01:41.047809 : Epoch  1, Batch    525, Loss  0.868761, Average Loss  0.875377, Time  0.455104
2021-09-08 15:01:42.643995 : Epoch  1, Batch    526, Loss  0.845995, Average Loss  0.875360, Time  0.353579
2021-09-08 15:01:44.284580 : Epoch  1, Batch    527, Loss  0.842803, Average Loss  0.875206, Time  0.353682
2021-09-08 15:01:45.977836 : Epoch  1, Batch    528, Loss  0.911387, Average Loss  0.875426, Time  0.449218
2021-09-08 15:01:47.598484 : Epoch  1, Batch    529, Loss  0.863980, Average Loss  0.875505, Time  0.354292
2021-09-08 15:01:49.203065 : Epoch  1, Batch    530, Loss  0.875984, Average Loss  0.875463, Time  0.352694
2021-09-08 15:01:50.917493 : Epoch  1, Batch    531, Loss  0.895104, Average Loss  0.875453, Time  0.461394
2021-09-08 15:01:52.497558 : Epoch  1, Batch    532, Loss  0.900297, Average Loss  0.875600, Time  0.319382
2021-09-08 15:01:54.088802 : Epoch  1, Batch    533, Loss  0.883827, Average Loss  0.875594, Time  0.352134
2021-09-08 15:01:55.759964 : Epoch  1, Batch    534, Loss  0.872887, Average Loss  0.875531, Time  0.393686
2021-09-08 15:01:57.432928 : Epoch  1, Batch    535, Loss  0.870804, Average Loss  0.875457, Time  0.431046
2021-09-08 15:01:59.065363 : Epoch  1, Batch    536, Loss  0.881689, Average Loss  0.875577, Time  0.355295
2021-09-08 15:02:00.695097 : Epoch  1, Batch    537, Loss  0.858862, Average Loss  0.875569, Time  0.357557
2021-09-08 15:02:02.436235 : Epoch  1, Batch    538, Loss  0.888653, Average Loss  0.875699, Time  0.459249
2021-09-08 15:02:04.078640 : Epoch  1, Batch    539, Loss  0.834910, Average Loss  0.875383, Time  0.355953
2021-09-08 15:02:05.692899 : Epoch  1, Batch    540, Loss  0.888624, Average Loss  0.875387, Time  0.354653
2021-09-08 15:02:07.428176 : Epoch  1, Batch    541, Loss  0.894523, Average Loss  0.875632, Time  0.436265
2021-09-08 15:02:09.094575 : Epoch  1, Batch    542, Loss  0.861440, Average Loss  0.875561, Time  0.422439
2021-09-08 15:02:10.728301 : Epoch  1, Batch    543, Loss  0.892329, Average Loss  0.875775, Time  0.355134
2021-09-08 15:02:12.318247 : Epoch  1, Batch    544, Loss  0.870027, Average Loss  0.875767, Time  0.354633
2021-09-08 15:02:14.050134 : Epoch  1, Batch    545, Loss  0.907020, Average Loss  0.875889, Time  0.455811
2021-09-08 15:02:15.664621 : Epoch  1, Batch    546, Loss  0.853001, Average Loss  0.875818, Time  0.357872
2021-09-08 15:02:17.285712 : Epoch  1, Batch    547, Loss  0.868152, Average Loss  0.875625, Time  0.354342
2021-09-08 15:02:18.986869 : Epoch  1, Batch    548, Loss  0.831460, Average Loss  0.875426, Time  0.458693
2021-09-08 15:02:20.655489 : Epoch  1, Batch    549, Loss  0.891644, Average Loss  0.875589, Time  0.386743
2021-09-08 15:02:22.253263 : Epoch  1, Batch    550, Loss  0.898900, Average Loss  0.875564, Time  0.351306
2021-09-08 15:02:23.891034 : Epoch  1, Batch    551, Loss  0.867496, Average Loss  0.875567, Time  0.353213
2021-09-08 15:02:25.582181 : Epoch  1, Batch    552, Loss  0.844151, Average Loss  0.875494, Time  0.452577
2021-09-08 15:02:27.221183 : Epoch  1, Batch    553, Loss  0.893447, Average Loss  0.875477, Time  0.355735
2021-09-08 15:02:28.848300 : Epoch  1, Batch    554, Loss  0.885923, Average Loss  0.875527, Time  0.356447
2021-09-08 15:02:30.595022 : Epoch  1, Batch    555, Loss  0.855849, Average Loss  0.875490, Time  0.464045
2021-09-08 15:02:32.242763 : Epoch  1, Batch    556, Loss  0.892778, Average Loss  0.875691, Time  0.357761
2021-09-08 15:02:33.858261 : Epoch  1, Batch    557, Loss  0.871865, Average Loss  0.875860, Time  0.354018
2021-09-08 15:02:35.502173 : Epoch  1, Batch    558, Loss  0.878662, Average Loss  0.875928, Time  0.352733
2021-09-08 15:02:37.196232 : Epoch  1, Batch    559, Loss  0.893450, Average Loss  0.875914, Time  0.444741
2021-09-08 15:02:38.873695 : Epoch  1, Batch    560, Loss  0.862133, Average Loss  0.875819, Time  0.358068
2021-09-08 15:02:40.525331 : Epoch  1, Batch    561, Loss  0.915317, Average Loss  0.875907, Time  0.355871
2021-09-08 15:02:42.294485 : Epoch  1, Batch    562, Loss  0.854247, Average Loss  0.875818, Time  0.455188
2021-09-08 15:02:44.027494 : Epoch  1, Batch    563, Loss  0.878598, Average Loss  0.875977, Time  0.407645
2021-09-08 15:02:45.695359 : Epoch  1, Batch    564, Loss  0.913113, Average Loss  0.876038, Time  0.357162
2021-09-08 15:02:47.385497 : Epoch  1, Batch    565, Loss  0.877216, Average Loss  0.875978, Time  0.357634
2021-09-08 15:02:49.207836 : Epoch  1, Batch    566, Loss  0.868107, Average Loss  0.875916, Time  0.462291
2021-09-08 15:02:50.989287 : Epoch  1, Batch    567, Loss  0.860140, Average Loss  0.875819, Time  0.462855
2021-09-08 15:02:52.633414 : Epoch  1, Batch    568, Loss  0.875134, Average Loss  0.875951, Time  0.353918
2021-09-08 15:02:54.249654 : Epoch  1, Batch    569, Loss  0.870535, Average Loss  0.875866, Time  0.354516
2021-09-08 15:02:55.965934 : Epoch  1, Batch    570, Loss  0.865155, Average Loss  0.875815, Time  0.421140
2021-09-08 15:02:57.703251 : Epoch  1, Batch    571, Loss  0.884087, Average Loss  0.875811, Time  0.467033
2021-09-08 15:02:59.324337 : Epoch  1, Batch    572, Loss  0.879680, Average Loss  0.875881, Time  0.356544
2021-09-08 15:03:00.949904 : Epoch  1, Batch    573, Loss  0.887689, Average Loss  0.875778, Time  0.356205
2021-09-08 15:03:02.660509 : Epoch  1, Batch    574, Loss  0.896845, Average Loss  0.875888, Time  0.457649
2021-09-08 15:03:04.352238 : Epoch  1, Batch    575, Loss  0.867988, Average Loss  0.875878, Time  0.409408
2021-09-08 15:03:05.950981 : Epoch  1, Batch    576, Loss  0.872821, Average Loss  0.875912, Time  0.353467
2021-09-08 15:03:07.587312 : Epoch  1, Batch    577, Loss  0.867868, Average Loss  0.875779, Time  0.351508
2021-09-08 15:03:09.256309 : Epoch  1, Batch    578, Loss  0.863652, Average Loss  0.875616, Time  0.431337
2021-09-08 15:03:10.886576 : Epoch  1, Batch    579, Loss  0.871492, Average Loss  0.875493, Time  0.354650
2021-09-08 15:03:12.519975 : Epoch  1, Batch    580, Loss  0.858752, Average Loss  0.875527, Time  0.357649
2021-09-08 15:03:14.231188 : Epoch  1, Batch    581, Loss  0.863102, Average Loss  0.875294, Time  0.458892
2021-09-08 15:03:15.854761 : Epoch  1, Batch    582, Loss  0.879264, Average Loss  0.875336, Time  0.347293
2021-09-08 15:03:17.454269 : Epoch  1, Batch    583, Loss  0.878068, Average Loss  0.875343, Time  0.355630
2021-09-08 15:03:19.098161 : Epoch  1, Batch    584, Loss  0.870889, Average Loss  0.875295, Time  0.368340
2021-09-08 15:03:20.795793 : Epoch  1, Batch    585, Loss  0.919389, Average Loss  0.875480, Time  0.450917
2021-09-08 15:03:22.409060 : Epoch  1, Batch    586, Loss  0.850952, Average Loss  0.875188, Time  0.352774
2021-09-08 15:03:24.025922 : Epoch  1, Batch    587, Loss  0.873814, Average Loss  0.875129, Time  0.355929
2021-09-08 15:03:25.723180 : Epoch  1, Batch    588, Loss  0.860912, Average Loss  0.875124, Time  0.456675
2021-09-08 15:03:27.346756 : Epoch  1, Batch    589, Loss  0.892747, Average Loss  0.875088, Time  0.358236
2021-09-08 15:03:28.966490 : Epoch  1, Batch    590, Loss  0.856079, Average Loss  0.874995, Time  0.352264
2021-09-08 15:03:30.698435 : Epoch  1, Batch    591, Loss  0.897460, Average Loss  0.875031, Time  0.453610
2021-09-08 15:03:32.358023 : Epoch  1, Batch    592, Loss  0.855151, Average Loss  0.874924, Time  0.411455
2021-09-08 15:03:33.983468 : Epoch  1, Batch    593, Loss  0.863006, Average Loss  0.874979, Time  0.352545
2021-09-08 15:03:35.574648 : Epoch  1, Batch    594, Loss  0.874025, Average Loss  0.875020, Time  0.352979
2021-09-08 15:03:37.310477 : Epoch  1, Batch    595, Loss  0.863818, Average Loss  0.874999, Time  0.461349
2021-09-08 15:03:38.925735 : Epoch  1, Batch    596, Loss  0.879100, Average Loss  0.874869, Time  0.354670
2021-09-08 15:03:40.568298 : Epoch  1, Batch    597, Loss  0.892118, Average Loss  0.875025, Time  0.353741
2021-09-08 15:03:42.263035 : Epoch  1, Batch    598, Loss  0.844037, Average Loss  0.874894, Time  0.429416
2021-09-08 15:03:43.997861 : Epoch  1, Batch    599, Loss  0.883047, Average Loss  0.874789, Time  0.457483
2021-09-08 15:03:45.615471 : Epoch  1, Batch    600, Loss  0.860234, Average Loss  0.874770, Time  0.359312
2021-09-08 15:08:09.318792 : CheckPoint: Validation Loss  0.00060312, Best Loss  0.00058797
2021-09-08 15:08:11.029318 : Epoch  1, Batch    601, Loss  0.878123, Average Loss  0.874761, Time  0.457569
2021-09-08 15:08:12.712376 : Epoch  1, Batch    602, Loss  0.880409, Average Loss  0.874743, Time  0.419769
2021-09-08 15:08:14.329133 : Epoch  1, Batch    603, Loss  0.879366, Average Loss  0.874892, Time  0.354708
2021-09-08 15:08:15.972380 : Epoch  1, Batch    604, Loss  0.908075, Average Loss  0.874970, Time  0.389741
2021-09-08 15:08:17.574754 : Epoch  1, Batch    605, Loss  0.875393, Average Loss  0.875062, Time  0.352342
2021-09-08 15:08:19.185938 : Epoch  1, Batch    606, Loss  0.877915, Average Loss  0.875243, Time  0.358527
2021-09-08 15:08:20.781387 : Epoch  1, Batch    607, Loss  0.872684, Average Loss  0.875231, Time  0.353660
2021-09-08 15:08:22.392980 : Epoch  1, Batch    608, Loss  0.861596, Average Loss  0.875248, Time  0.352611
2021-09-08 15:08:24.005358 : Epoch  1, Batch    609, Loss  0.857128, Average Loss  0.875300, Time  0.352778
2021-09-08 15:08:25.645195 : Epoch  1, Batch    610, Loss  0.886900, Average Loss  0.875413, Time  0.355278
2021-09-08 15:08:27.297272 : Epoch  1, Batch    611, Loss  0.869214, Average Loss  0.875436, Time  0.354193
2021-09-08 15:08:28.936005 : Epoch  1, Batch    612, Loss  0.893962, Average Loss  0.875458, Time  0.354731
2021-09-08 15:08:30.659078 : Epoch  1, Batch    613, Loss  0.867144, Average Loss  0.875532, Time  0.454041
2021-09-08 15:08:32.289924 : Epoch  1, Batch    614, Loss  0.875917, Average Loss  0.875579, Time  0.356652
2021-09-08 15:08:33.909530 : Epoch  1, Batch    615, Loss  0.861124, Average Loss  0.875489, Time  0.354032
2021-09-08 15:08:35.606763 : Epoch  1, Batch    616, Loss  0.890275, Average Loss  0.875579, Time  0.440662
2021-09-08 15:08:37.301868 : Epoch  1, Batch    617, Loss  0.875806, Average Loss  0.875510, Time  0.439194
2021-09-08 15:08:38.921837 : Epoch  1, Batch    618, Loss  0.879202, Average Loss  0.875724, Time  0.355658
2021-09-08 15:08:40.553855 : Epoch  1, Batch    619, Loss  0.874651, Average Loss  0.875624, Time  0.379061
2021-09-08 15:08:42.274702 : Epoch  1, Batch    620, Loss  0.872497, Average Loss  0.875584, Time  0.456277
2021-09-08 15:08:43.885389 : Epoch  1, Batch    621, Loss  0.861748, Average Loss  0.875343, Time  0.354229
2021-09-08 15:08:45.512351 : Epoch  1, Batch    622, Loss  0.867747, Average Loss  0.875236, Time  0.352838
2021-09-08 15:08:47.236047 : Epoch  1, Batch    623, Loss  0.867814, Average Loss  0.875204, Time  0.461318
2021-09-08 15:08:48.809531 : Epoch  1, Batch    624, Loss  0.871740, Average Loss  0.875207, Time  0.332548
2021-09-08 15:08:50.424948 : Epoch  1, Batch    625, Loss  0.884241, Average Loss  0.875565, Time  0.353736
2021-09-08 15:08:52.093105 : Epoch  1, Batch    626, Loss  0.865303, Average Loss  0.875608, Time  0.408468
2021-09-08 15:08:53.738447 : Epoch  1, Batch    627, Loss  0.865367, Average Loss  0.875813, Time  0.348146
2021-09-08 15:08:55.387003 : Epoch  1, Batch    628, Loss  0.901927, Average Loss  0.876012, Time  0.355422
2021-09-08 15:08:57.065902 : Epoch  1, Batch    629, Loss  0.840531, Average Loss  0.875955, Time  0.398350
2021-09-08 15:08:58.793715 : Epoch  1, Batch    630, Loss  0.897600, Average Loss  0.876146, Time  0.412320
2021-09-08 15:09:00.451882 : Epoch  1, Batch    631, Loss  0.860430, Average Loss  0.875937, Time  0.356548
2021-09-08 15:09:02.084752 : Epoch  1, Batch    632, Loss  0.855235, Average Loss  0.875920, Time  0.353154
2021-09-08 15:09:03.730481 : Epoch  1, Batch    633, Loss  0.872553, Average Loss  0.875882, Time  0.356182
2021-09-08 15:09:05.392391 : Epoch  1, Batch    634, Loss  0.895930, Average Loss  0.875971, Time  0.377374
2021-09-08 15:09:07.107992 : Epoch  1, Batch    635, Loss  0.892513, Average Loss  0.876051, Time  0.406489
2021-09-08 15:09:08.729364 : Epoch  1, Batch    636, Loss  0.865161, Average Loss  0.875934, Time  0.353486
2021-09-08 15:09:10.369205 : Epoch  1, Batch    637, Loss  0.869815, Average Loss  0.875950, Time  0.367374
2021-09-08 15:09:11.924988 : Epoch  1, Batch    638, Loss  0.879856, Average Loss  0.876027, Time  0.301836
2021-09-08 15:09:13.529961 : Epoch  1, Batch    639, Loss  0.878556, Average Loss  0.876048, Time  0.352363
2021-09-08 15:09:15.241469 : Epoch  1, Batch    640, Loss  0.866191, Average Loss  0.875914, Time  0.444252
2021-09-08 15:09:16.862142 : Epoch  1, Batch    641, Loss  0.914175, Average Loss  0.875935, Time  0.352999
2021-09-08 15:09:18.514493 : Epoch  1, Batch    642, Loss  0.868014, Average Loss  0.875733, Time  0.389499
2021-09-08 15:09:20.159067 : Epoch  1, Batch    643, Loss  0.875523, Average Loss  0.875777, Time  0.346175
2021-09-08 15:09:21.767570 : Epoch  1, Batch    644, Loss  0.863262, Average Loss  0.875664, Time  0.355734
2021-09-08 15:09:23.513529 : Epoch  1, Batch    645, Loss  0.881055, Average Loss  0.875746, Time  0.442282
2021-09-08 15:09:25.190637 : Epoch  1, Batch    646, Loss  0.881269, Average Loss  0.875757, Time  0.352247
2021-09-08 15:09:26.797528 : Epoch  1, Batch    647, Loss  0.850782, Average Loss  0.875691, Time  0.354083
2021-09-08 15:09:28.393174 : Epoch  1, Batch    648, Loss  0.882791, Average Loss  0.875704, Time  0.354898
2021-09-08 15:09:29.987108 : Epoch  1, Batch    649, Loss  0.857664, Average Loss  0.875606, Time  0.353885
2021-09-08 15:09:31.581441 : Epoch  1, Batch    650, Loss  0.890434, Average Loss  0.875809, Time  0.353143
2021-09-08 15:09:33.185894 : Epoch  1, Batch    651, Loss  0.887552, Average Loss  0.875924, Time  0.352332
2021-09-08 15:09:34.891162 : Epoch  1, Batch    652, Loss  0.867981, Average Loss  0.875929, Time  0.458632
2021-09-08 15:09:36.467476 : Epoch  1, Batch    653, Loss  0.894073, Average Loss  0.875970, Time  0.331854
2021-09-08 15:09:38.080715 : Epoch  1, Batch    654, Loss  0.885918, Average Loss  0.876115, Time  0.354120
2021-09-08 15:09:39.780745 : Epoch  1, Batch    655, Loss  0.875475, Average Loss  0.876284, Time  0.446514
2021-09-08 15:09:41.442229 : Epoch  1, Batch    656, Loss  0.862435, Average Loss  0.876162, Time  0.409704
2021-09-08 15:09:43.036293 : Epoch  1, Batch    657, Loss  0.859777, Average Loss  0.876000, Time  0.354674
2021-09-08 15:09:44.676866 : Epoch  1, Batch    658, Loss  0.844855, Average Loss  0.875858, Time  0.354770
2021-09-08 15:09:46.389538 : Epoch  1, Batch    659, Loss  0.857707, Average Loss  0.875808, Time  0.450732
2021-09-08 15:09:48.035744 : Epoch  1, Batch    660, Loss  0.873904, Average Loss  0.875952, Time  0.356340
2021-09-08 15:09:49.653375 : Epoch  1, Batch    661, Loss  0.867219, Average Loss  0.876192, Time  0.354830
2021-09-08 15:09:51.412365 : Epoch  1, Batch    662, Loss  0.862805, Average Loss  0.876293, Time  0.457894
2021-09-08 15:09:53.145782 : Epoch  1, Batch    663, Loss  0.871958, Average Loss  0.876147, Time  0.442555
2021-09-08 15:09:54.789761 : Epoch  1, Batch    664, Loss  0.872313, Average Loss  0.875972, Time  0.355920
2021-09-08 15:09:56.421799 : Epoch  1, Batch    665, Loss  0.862357, Average Loss  0.875784, Time  0.353197
2021-09-08 15:09:58.135722 : Epoch  1, Batch    666, Loss  0.862592, Average Loss  0.875620, Time  0.453239
2021-09-08 15:09:59.763772 : Epoch  1, Batch    667, Loss  0.887179, Average Loss  0.875754, Time  0.356652
2021-09-08 15:10:01.418704 : Epoch  1, Batch    668, Loss  0.863743, Average Loss  0.875692, Time  0.356020
2021-09-08 15:10:03.133541 : Epoch  1, Batch    669, Loss  0.868117, Average Loss  0.875703, Time  0.416101
2021-09-08 15:10:04.789673 : Epoch  1, Batch    670, Loss  0.868412, Average Loss  0.875551, Time  0.353505
2021-09-08 15:10:06.495684 : Epoch  1, Batch    671, Loss  0.850229, Average Loss  0.875582, Time  0.403298
2021-09-08 15:10:08.188976 : Epoch  1, Batch    672, Loss  0.871680, Average Loss  0.875467, Time  0.415868
2021-09-08 15:10:09.846370 : Epoch  1, Batch    673, Loss  0.871204, Average Loss  0.875343, Time  0.355102
2021-09-08 15:10:11.544268 : Epoch  1, Batch    674, Loss  0.874180, Average Loss  0.875353, Time  0.417969
2021-09-08 15:10:13.175794 : Epoch  1, Batch    675, Loss  0.856008, Average Loss  0.875296, Time  0.352776
2021-09-08 15:10:14.829027 : Epoch  1, Batch    676, Loss  0.869007, Average Loss  0.875348, Time  0.357106
2021-09-08 15:10:16.524618 : Epoch  1, Batch    677, Loss  0.873403, Average Loss  0.875390, Time  0.418822
2021-09-08 15:10:18.191190 : Epoch  1, Batch    678, Loss  0.857032, Average Loss  0.875426, Time  0.356154
2021-09-08 15:10:19.855480 : Epoch  1, Batch    679, Loss  0.872929, Average Loss  0.875398, Time  0.383803
2021-09-08 15:10:21.554490 : Epoch  1, Batch    680, Loss  0.889840, Average Loss  0.875348, Time  0.408985
2021-09-08 15:10:23.168172 : Epoch  1, Batch    681, Loss  0.866036, Average Loss  0.875268, Time  0.355284
2021-09-08 15:10:24.876441 : Epoch  1, Batch    682, Loss  0.852718, Average Loss  0.875198, Time  0.413377
2021-09-08 15:10:26.506442 : Epoch  1, Batch    683, Loss  0.825422, Average Loss  0.875001, Time  0.355150
2021-09-08 15:10:28.144661 : Epoch  1, Batch    684, Loss  0.888110, Average Loss  0.875078, Time  0.352681
2021-09-08 15:10:29.846365 : Epoch  1, Batch    685, Loss  0.855813, Average Loss  0.874982, Time  0.420949
2021-09-08 15:10:31.497746 : Epoch  1, Batch    686, Loss  0.852884, Average Loss  0.874868, Time  0.354425
2021-09-08 15:10:33.179057 : Epoch  1, Batch    687, Loss  0.891322, Average Loss  0.874947, Time  0.413845
2021-09-08 15:10:34.791177 : Epoch  1, Batch    688, Loss  0.887405, Average Loss  0.874936, Time  0.350205
2021-09-08 15:10:36.415637 : Epoch  1, Batch    689, Loss  0.899968, Average Loss  0.874796, Time  0.356513
2021-09-08 15:10:38.101566 : Epoch  1, Batch    690, Loss  0.880510, Average Loss  0.874728, Time  0.420917
2021-09-08 15:10:39.760395 : Epoch  1, Batch    691, Loss  0.865366, Average Loss  0.874673, Time  0.355781
2021-09-08 15:10:41.432747 : Epoch  1, Batch    692, Loss  0.861588, Average Loss  0.874892, Time  0.384453
2021-09-08 15:10:43.134147 : Epoch  1, Batch    693, Loss  0.882537, Average Loss  0.874833, Time  0.411736
2021-09-08 15:10:44.780935 : Epoch  1, Batch    694, Loss  0.895392, Average Loss  0.874917, Time  0.354072
2021-09-08 15:10:46.458921 : Epoch  1, Batch    695, Loss  0.889827, Average Loss  0.874957, Time  0.411122
2021-09-08 15:10:48.126231 : Epoch  1, Batch    696, Loss  0.881929, Average Loss  0.874954, Time  0.356990
2021-09-08 15:10:49.748025 : Epoch  1, Batch    697, Loss  0.877190, Average Loss  0.874891, Time  0.365448
2021-09-08 15:10:51.394013 : Epoch  1, Batch    698, Loss  0.876551, Average Loss  0.874944, Time  0.355209
2021-09-08 15:10:53.004267 : Epoch  1, Batch    699, Loss  0.841687, Average Loss  0.874670, Time  0.354453
2021-09-08 15:10:54.651902 : Epoch  1, Batch    700, Loss  0.877854, Average Loss  0.874566, Time  0.356930
2021-09-08 15:15:23.075015 : CheckPoint: Validation Loss  0.00059827, Best Loss  0.00058797
2021-09-08 15:15:24.784951 : Epoch  1, Batch    701, Loss  0.885256, Average Loss  0.874643, Time  0.401439
2021-09-08 15:15:26.504966 : Epoch  1, Batch    702, Loss  0.873104, Average Loss  0.874520, Time  0.413097
2021-09-08 15:15:28.162964 : Epoch  1, Batch    703, Loss  0.867451, Average Loss  0.874530, Time  0.355063
2021-09-08 15:15:29.875162 : Epoch  1, Batch    704, Loss  0.867037, Average Loss  0.874334, Time  0.411549
2021-09-08 15:15:31.576661 : Epoch  1, Batch    705, Loss  0.805546, Average Loss  0.873899, Time  0.414478
2021-09-08 15:15:33.211160 : Epoch  1, Batch    706, Loss  0.899418, Average Loss  0.873996, Time  0.353841
2021-09-08 15:15:34.922622 : Epoch  1, Batch    707, Loss  0.874058, Average Loss  0.873793, Time  0.414450
2021-09-08 15:15:36.639259 : Epoch  1, Batch    708, Loss  0.861283, Average Loss  0.873689, Time  0.417527
2021-09-08 15:15:38.275116 : Epoch  1, Batch    709, Loss  0.876421, Average Loss  0.873657, Time  0.354825
2021-09-08 15:15:39.969684 : Epoch  1, Batch    710, Loss  0.864950, Average Loss  0.873559, Time  0.408468
2021-09-08 15:15:41.662758 : Epoch  1, Batch    711, Loss  0.859056, Average Loss  0.873287, Time  0.410913
2021-09-08 15:15:43.274297 : Epoch  1, Batch    712, Loss  0.852512, Average Loss  0.873212, Time  0.353767
2021-09-08 15:15:44.968742 : Epoch  1, Batch    713, Loss  0.897385, Average Loss  0.873314, Time  0.416831
2021-09-08 15:15:46.600754 : Epoch  1, Batch    714, Loss  0.877344, Average Loss  0.873420, Time  0.376233
2021-09-08 15:15:48.232845 : Epoch  1, Batch    715, Loss  0.873851, Average Loss  0.873531, Time  0.350735
2021-09-08 15:15:49.888112 : Epoch  1, Batch    716, Loss  0.877694, Average Loss  0.873607, Time  0.411757
2021-09-08 15:15:51.521532 : Epoch  1, Batch    717, Loss  0.851364, Average Loss  0.873509, Time  0.355114
2021-09-08 15:15:53.153846 : Epoch  1, Batch    718, Loss  0.874182, Average Loss  0.873669, Time  0.381549
2021-09-08 15:15:54.833544 : Epoch  1, Batch    719, Loss  0.882735, Average Loss  0.873700, Time  0.406854
2021-09-08 15:15:56.468041 : Epoch  1, Batch    720, Loss  0.885754, Average Loss  0.873770, Time  0.357937
2021-09-08 15:15:58.127949 : Epoch  1, Batch    721, Loss  0.880149, Average Loss  0.873599, Time  0.414586
2021-09-08 15:15:59.744256 : Epoch  1, Batch    722, Loss  0.872274, Average Loss  0.873621, Time  0.353081
2021-09-08 15:16:01.397787 : Epoch  1, Batch    723, Loss  0.889976, Average Loss  0.873553, Time  0.354932
2021-09-08 15:16:03.112377 : Epoch  1, Batch    724, Loss  0.877922, Average Loss  0.873529, Time  0.421103
2021-09-08 15:16:04.768206 : Epoch  1, Batch    725, Loss  0.851433, Average Loss  0.873442, Time  0.355577
2021-09-08 15:16:06.454983 : Epoch  1, Batch    726, Loss  0.872762, Average Loss  0.873576, Time  0.383623
2021-09-08 15:16:08.181994 : Epoch  1, Batch    727, Loss  0.850204, Average Loss  0.873613, Time  0.417587
2021-09-08 15:16:09.823799 : Epoch  1, Batch    728, Loss  0.858755, Average Loss  0.873350, Time  0.355227
2021-09-08 15:16:11.524022 : Epoch  1, Batch    729, Loss  0.872611, Average Loss  0.873393, Time  0.393611
2021-09-08 15:16:13.244425 : Epoch  1, Batch    730, Loss  0.847787, Average Loss  0.873252, Time  0.417740
2021-09-08 15:16:14.889525 : Epoch  1, Batch    731, Loss  0.864919, Average Loss  0.873101, Time  0.354061
2021-09-08 15:16:16.574344 : Epoch  1, Batch    732, Loss  0.879543, Average Loss  0.872997, Time  0.403902
2021-09-08 15:16:18.265228 : Epoch  1, Batch    733, Loss  0.895315, Average Loss  0.873055, Time  0.412163
2021-09-08 15:16:19.904849 : Epoch  1, Batch    734, Loss  0.903327, Average Loss  0.873207, Time  0.354454
2021-09-08 15:16:21.612311 : Epoch  1, Batch    735, Loss  0.897490, Average Loss  0.873341, Time  0.414594
2021-09-08 15:16:23.333415 : Epoch  1, Batch    736, Loss  0.855684, Average Loss  0.873211, Time  0.415640
2021-09-08 15:16:24.996643 : Epoch  1, Batch    737, Loss  0.858163, Average Loss  0.873207, Time  0.355842
2021-09-08 15:16:26.709508 : Epoch  1, Batch    738, Loss  0.890973, Average Loss  0.873219, Time  0.409183
2021-09-08 15:16:28.401527 : Epoch  1, Batch    739, Loss  0.883300, Average Loss  0.873461, Time  0.406780
2021-09-08 15:16:30.040808 : Epoch  1, Batch    740, Loss  0.863451, Average Loss  0.873335, Time  0.355397
2021-09-08 15:16:31.741444 : Epoch  1, Batch    741, Loss  0.857968, Average Loss  0.873152, Time  0.415849
2021-09-08 15:16:33.448630 : Epoch  1, Batch    742, Loss  0.894174, Average Loss  0.873316, Time  0.406729
2021-09-08 15:16:35.108426 : Epoch  1, Batch    743, Loss  0.877634, Average Loss  0.873242, Time  0.353810
2021-09-08 15:16:36.775299 : Epoch  1, Batch    744, Loss  0.870785, Average Loss  0.873246, Time  0.414902
2021-09-08 15:16:38.466924 : Epoch  1, Batch    745, Loss  0.856648, Average Loss  0.872994, Time  0.395181
2021-09-08 15:16:40.081547 : Epoch  1, Batch    746, Loss  0.873539, Average Loss  0.873097, Time  0.353560
2021-09-08 15:16:41.781737 : Epoch  1, Batch    747, Loss  0.862162, Average Loss  0.873067, Time  0.416578
2021-09-08 15:16:43.405634 : Epoch  1, Batch    748, Loss  0.892581, Average Loss  0.873372, Time  0.355110
2021-09-08 15:16:45.015914 : Epoch  1, Batch    749, Loss  0.902261, Average Loss  0.873425, Time  0.354245
2021-09-08 15:16:46.711347 : Epoch  1, Batch    750, Loss  0.867182, Average Loss  0.873267, Time  0.417741
2021-09-08 15:16:48.306329 : Epoch  1, Batch    751, Loss  0.885899, Average Loss  0.873359, Time  0.352664
2021-09-08 15:16:49.994973 : Epoch  1, Batch    752, Loss  0.887110, Average Loss  0.873574, Time  0.413792
2021-09-08 15:16:51.643794 : Epoch  1, Batch    753, Loss  0.829918, Average Loss  0.873256, Time  0.394737
2021-09-08 15:16:53.292111 : Epoch  1, Batch    754, Loss  0.851330, Average Loss  0.873083, Time  0.353133
2021-09-08 15:16:54.951180 : Epoch  1, Batch    755, Loss  0.866083, Average Loss  0.873134, Time  0.418098
2021-09-08 15:16:56.572550 : Epoch  1, Batch    756, Loss  0.924991, Average Loss  0.873295, Time  0.352293
2021-09-08 15:16:58.174127 : Epoch  1, Batch    757, Loss  0.885153, Average Loss  0.873362, Time  0.354299
2021-09-08 15:16:59.838046 : Epoch  1, Batch    758, Loss  0.870895, Average Loss  0.873323, Time  0.408098
2021-09-08 15:17:01.456286 : Epoch  1, Batch    759, Loss  0.863987, Average Loss  0.873176, Time  0.354840
2021-09-08 15:17:03.109101 : Epoch  1, Batch    760, Loss  0.857770, Average Loss  0.873154, Time  0.413716
2021-09-08 15:17:04.734818 : Epoch  1, Batch    761, Loss  0.867761, Average Loss  0.872916, Time  0.353477
2021-09-08 15:17:06.340137 : Epoch  1, Batch    762, Loss  0.895127, Average Loss  0.873120, Time  0.352113
2021-09-08 15:17:08.031679 : Epoch  1, Batch    763, Loss  0.879279, Average Loss  0.873124, Time  0.404454
2021-09-08 15:17:09.632301 : Epoch  1, Batch    764, Loss  0.873990, Average Loss  0.872928, Time  0.355587
2021-09-08 15:17:11.337332 : Epoch  1, Batch    765, Loss  0.852362, Average Loss  0.872804, Time  0.414560
2021-09-08 15:17:12.967005 : Epoch  1, Batch    766, Loss  0.855748, Average Loss  0.872742, Time  0.356401
2021-09-08 15:17:14.562086 : Epoch  1, Batch    767, Loss  0.912932, Average Loss  0.873006, Time  0.354209
2021-09-08 15:17:16.290706 : Epoch  1, Batch    768, Loss  0.859896, Average Loss  0.872930, Time  0.455994
2021-09-08 15:17:17.958306 : Epoch  1, Batch    769, Loss  0.861860, Average Loss  0.872887, Time  0.392274
2021-09-08 15:17:19.597592 : Epoch  1, Batch    770, Loss  0.868425, Average Loss  0.872903, Time  0.357009
2021-09-08 15:17:21.211390 : Epoch  1, Batch    771, Loss  0.882034, Average Loss  0.872893, Time  0.354441
2021-09-08 15:17:22.954580 : Epoch  1, Batch    772, Loss  0.883490, Average Loss  0.872912, Time  0.456022
2021-09-08 15:17:24.554394 : Epoch  1, Batch    773, Loss  0.864814, Average Loss  0.872797, Time  0.354385
2021-09-08 15:17:26.186088 : Epoch  1, Batch    774, Loss  0.861012, Average Loss  0.872618, Time  0.353815
2021-09-08 15:17:27.786093 : Epoch  1, Batch    775, Loss  0.865778, Average Loss  0.872607, Time  0.354436
2021-09-08 15:17:29.412464 : Epoch  1, Batch    776, Loss  0.860922, Average Loss  0.872548, Time  0.354767
2021-09-08 15:17:31.121845 : Epoch  1, Batch    777, Loss  0.890842, Average Loss  0.872662, Time  0.456933
2021-09-08 15:17:32.790022 : Epoch  1, Batch    778, Loss  0.888080, Average Loss  0.872785, Time  0.385872
2021-09-08 15:17:34.389553 : Epoch  1, Batch    779, Loss  0.878999, Average Loss  0.872822, Time  0.354013
2021-09-08 15:17:36.004765 : Epoch  1, Batch    780, Loss  0.873425, Average Loss  0.872896, Time  0.356001
2021-09-08 15:17:37.671234 : Epoch  1, Batch    781, Loss  0.842620, Average Loss  0.872793, Time  0.431361
2021-09-08 15:17:39.301608 : Epoch  1, Batch    782, Loss  0.889570, Average Loss  0.872845, Time  0.353325
2021-09-08 15:17:40.944349 : Epoch  1, Batch    783, Loss  0.868878, Average Loss  0.872799, Time  0.354948
2021-09-08 15:17:42.708815 : Epoch  1, Batch    784, Loss  0.875521, Average Loss  0.872822, Time  0.464119
2021-09-08 15:17:44.352774 : Epoch  1, Batch    785, Loss  0.876467, Average Loss  0.872607, Time  0.357749
2021-09-08 15:17:46.001830 : Epoch  1, Batch    786, Loss  0.869531, Average Loss  0.872700, Time  0.354134
2021-09-08 15:17:47.701545 : Epoch  1, Batch    787, Loss  0.874554, Average Loss  0.872704, Time  0.409915
2021-09-08 15:17:49.362818 : Epoch  1, Batch    788, Loss  0.879065, Average Loss  0.872795, Time  0.401486
2021-09-08 15:17:51.006682 : Epoch  1, Batch    789, Loss  0.892742, Average Loss  0.872795, Time  0.354515
2021-09-08 15:17:52.625655 : Epoch  1, Batch    790, Loss  0.855774, Average Loss  0.872793, Time  0.353792
2021-09-08 15:17:54.360243 : Epoch  1, Batch    791, Loss  0.866915, Average Loss  0.872640, Time  0.464732
2021-09-08 15:17:55.969479 : Epoch  1, Batch    792, Loss  0.864081, Average Loss  0.872685, Time  0.355654
2021-09-08 15:17:57.596212 : Epoch  1, Batch    793, Loss  0.858013, Average Loss  0.872660, Time  0.354457
2021-09-08 15:17:59.273637 : Epoch  1, Batch    794, Loss  0.834373, Average Loss  0.872462, Time  0.437678
2021-09-08 15:18:00.908053 : Epoch  1, Batch    795, Loss  0.848985, Average Loss  0.872388, Time  0.354385
2021-09-08 15:18:02.500326 : Epoch  1, Batch    796, Loss  0.898314, Average Loss  0.872484, Time  0.353956
2021-09-08 15:18:04.187430 : Epoch  1, Batch    797, Loss  0.882388, Average Loss  0.872435, Time  0.415717
2021-09-08 15:18:05.792417 : Epoch  1, Batch    798, Loss  0.873056, Average Loss  0.872580, Time  0.355997
2021-09-08 15:18:07.453970 : Epoch  1, Batch    799, Loss  0.852125, Average Loss  0.872426, Time  0.397299
2021-09-08 15:18:09.114750 : Epoch  1, Batch    800, Loss  0.860387, Average Loss  0.872426, Time  0.406031
2021-09-08 15:22:37.976974 : CheckPoint: Validation Loss  0.00061128, Best Loss  0.00058797
2021-09-08 15:22:39.625130 : Epoch  1, Batch    801, Loss  0.929714, Average Loss  0.872684, Time  0.357061
2021-09-08 15:22:41.351738 : Epoch  1, Batch    802, Loss  0.840004, Average Loss  0.872482, Time  0.432858
2021-09-08 15:22:42.992417 : Epoch  1, Batch    803, Loss  0.877395, Average Loss  0.872472, Time  0.354334
2021-09-08 15:22:44.706316 : Epoch  1, Batch    804, Loss  0.867853, Average Loss  0.872271, Time  0.425397
2021-09-08 15:22:46.348878 : Epoch  1, Batch    805, Loss  0.875009, Average Loss  0.872269, Time  0.354494
2021-09-08 15:22:47.975386 : Epoch  1, Batch    806, Loss  0.857726, Average Loss  0.872168, Time  0.353829
2021-09-08 15:22:49.587318 : Epoch  1, Batch    807, Loss  0.859503, Average Loss  0.872102, Time  0.353978
2021-09-08 15:22:51.207134 : Epoch  1, Batch    808, Loss  0.867893, Average Loss  0.872134, Time  0.352876
2021-09-08 15:22:52.808695 : Epoch  1, Batch    809, Loss  0.853814, Average Loss  0.872117, Time  0.354540
2021-09-08 15:22:54.432508 : Epoch  1, Batch    810, Loss  0.874266, Average Loss  0.872054, Time  0.352327
2021-09-08 15:22:56.025433 : Epoch  1, Batch    811, Loss  0.896217, Average Loss  0.872189, Time  0.353225
2021-09-08 15:22:57.651490 : Epoch  1, Batch    812, Loss  0.874586, Average Loss  0.872092, Time  0.352614
2021-09-08 15:22:59.248949 : Epoch  1, Batch    813, Loss  0.903254, Average Loss  0.872273, Time  0.354397
2021-09-08 15:23:00.880254 : Epoch  1, Batch    814, Loss  0.880201, Average Loss  0.872294, Time  0.351501
2021-09-08 15:23:02.478736 : Epoch  1, Batch    815, Loss  0.876137, Average Loss  0.872369, Time  0.355321
2021-09-08 15:23:04.102424 : Epoch  1, Batch    816, Loss  0.845457, Average Loss  0.872145, Time  0.353621
2021-09-08 15:23:05.706132 : Epoch  1, Batch    817, Loss  0.888482, Average Loss  0.872209, Time  0.356839
2021-09-08 15:23:07.325794 : Epoch  1, Batch    818, Loss  0.882134, Average Loss  0.872223, Time  0.353919
2021-09-08 15:23:08.938160 : Epoch  1, Batch    819, Loss  0.864878, Average Loss  0.872174, Time  0.355758
2021-09-08 15:23:10.541242 : Epoch  1, Batch    820, Loss  0.940030, Average Loss  0.872512, Time  0.352661
2021-09-08 15:23:12.165014 : Epoch  1, Batch    821, Loss  0.850541, Average Loss  0.872456, Time  0.355862
2021-09-08 15:23:13.774561 : Epoch  1, Batch    822, Loss  0.878806, Average Loss  0.872511, Time  0.357104
2021-09-08 15:23:15.416785 : Epoch  1, Batch    823, Loss  0.861937, Average Loss  0.872482, Time  0.350168
2021-09-08 15:23:17.059481 : Epoch  1, Batch    824, Loss  0.856073, Average Loss  0.872404, Time  0.358790
2021-09-08 15:23:18.824688 : Epoch  1, Batch    825, Loss  0.862267, Average Loss  0.872294, Time  0.467355
2021-09-08 15:23:20.472686 : Epoch  1, Batch    826, Loss  0.843477, Average Loss  0.872185, Time  0.357601
2021-09-08 15:23:22.134929 : Epoch  1, Batch    827, Loss  0.905951, Average Loss  0.872388, Time  0.371615
2021-09-08 15:23:23.775060 : Epoch  1, Batch    828, Loss  0.843498, Average Loss  0.872095, Time  0.354959
2021-09-08 15:23:25.438442 : Epoch  1, Batch    829, Loss  0.865103, Average Loss  0.872218, Time  0.355534
2021-09-08 15:23:27.105874 : Epoch  1, Batch    830, Loss  0.859856, Average Loss  0.872030, Time  0.358931
2021-09-08 15:23:28.775710 : Epoch  1, Batch    831, Loss  0.882221, Average Loss  0.872139, Time  0.357008
2021-09-08 15:23:30.419737 : Epoch  1, Batch    832, Loss  0.885961, Average Loss  0.872292, Time  0.351541
2021-09-08 15:23:32.059176 : Epoch  1, Batch    833, Loss  0.898566, Average Loss  0.872422, Time  0.354705
2021-09-08 15:23:33.767924 : Epoch  1, Batch    834, Loss  0.875862, Average Loss  0.872322, Time  0.440688
2021-09-08 15:23:35.389276 : Epoch  1, Batch    835, Loss  0.904505, Average Loss  0.872382, Time  0.357605
2021-09-08 15:23:37.091199 : Epoch  1, Batch    836, Loss  0.879122, Average Loss  0.872452, Time  0.446522
2021-09-08 15:23:38.717153 : Epoch  1, Batch    837, Loss  0.840036, Average Loss  0.872303, Time  0.355377
2021-09-08 15:23:40.334654 : Epoch  1, Batch    838, Loss  0.844580, Average Loss  0.872126, Time  0.352568
2021-09-08 15:23:41.991051 : Epoch  1, Batch    839, Loss  0.865636, Average Loss  0.872062, Time  0.356904
2021-09-08 15:23:43.587168 : Epoch  1, Batch    840, Loss  0.878141, Average Loss  0.872122, Time  0.352659
2021-09-08 15:23:45.230451 : Epoch  1, Batch    841, Loss  0.882632, Average Loss  0.871964, Time  0.356099
2021-09-08 15:23:46.828055 : Epoch  1, Batch    842, Loss  0.896770, Average Loss  0.872108, Time  0.356545
2021-09-08 15:23:48.454272 : Epoch  1, Batch    843, Loss  0.868336, Average Loss  0.872072, Time  0.354150
2021-09-08 15:23:50.073363 : Epoch  1, Batch    844, Loss  0.872869, Average Loss  0.872120, Time  0.355951
2021-09-08 15:23:51.701765 : Epoch  1, Batch    845, Loss  0.839326, Average Loss  0.871911, Time  0.352723
2021-09-08 15:23:53.296725 : Epoch  1, Batch    846, Loss  0.845977, Average Loss  0.871735, Time  0.356040
2021-09-08 15:23:54.927023 : Epoch  1, Batch    847, Loss  0.862594, Average Loss  0.871794, Time  0.353571
2021-09-08 15:23:56.560324 : Epoch  1, Batch    848, Loss  0.860373, Average Loss  0.871682, Time  0.355745
2021-09-08 15:23:58.237251 : Epoch  1, Batch    849, Loss  0.864492, Average Loss  0.871716, Time  0.419107
2021-09-08 15:23:59.861902 : Epoch  1, Batch    850, Loss  0.866970, Average Loss  0.871598, Time  0.356908
2021-09-08 15:24:01.559245 : Epoch  1, Batch    851, Loss  0.868051, Average Loss  0.871501, Time  0.458300
2021-09-08 15:24:03.201028 : Epoch  1, Batch    852, Loss  0.849418, Average Loss  0.871408, Time  0.353304
2021-09-08 15:24:04.847546 : Epoch  1, Batch    853, Loss  0.878933, Average Loss  0.871332, Time  0.398227
2021-09-08 15:24:06.466805 : Epoch  1, Batch    854, Loss  0.888402, Average Loss  0.871345, Time  0.353859
2021-09-08 15:24:08.083698 : Epoch  1, Batch    855, Loss  0.904931, Average Loss  0.871492, Time  0.355577
2021-09-08 15:24:09.711966 : Epoch  1, Batch    856, Loss  0.869575, Average Loss  0.871528, Time  0.353990
2021-09-08 15:24:11.338031 : Epoch  1, Batch    857, Loss  0.872535, Average Loss  0.871592, Time  0.352451
2021-09-08 15:24:12.932496 : Epoch  1, Batch    858, Loss  0.869609, Average Loss  0.871715, Time  0.354238
2021-09-08 15:24:14.585249 : Epoch  1, Batch    859, Loss  0.901098, Average Loss  0.871932, Time  0.355035
2021-09-08 15:24:16.198386 : Epoch  1, Batch    860, Loss  0.855580, Average Loss  0.871841, Time  0.355012
2021-09-08 15:24:17.843396 : Epoch  1, Batch    861, Loss  0.840935, Average Loss  0.871709, Time  0.352911
2021-09-08 15:24:19.464295 : Epoch  1, Batch    862, Loss  0.892264, Average Loss  0.871857, Time  0.350968
2021-09-08 15:24:21.099094 : Epoch  1, Batch    863, Loss  0.859202, Average Loss  0.871793, Time  0.354675
2021-09-08 15:24:22.810885 : Epoch  1, Batch    864, Loss  0.835466, Average Loss  0.871609, Time  0.433351
2021-09-08 15:24:24.509280 : Epoch  1, Batch    865, Loss  0.873155, Average Loss  0.871663, Time  0.442867
2021-09-08 15:24:26.174384 : Epoch  1, Batch    866, Loss  0.883993, Average Loss  0.871770, Time  0.356595
2021-09-08 15:24:27.819702 : Epoch  1, Batch    867, Loss  0.868127, Average Loss  0.871674, Time  0.357249
2021-09-08 15:24:29.580802 : Epoch  1, Batch    868, Loss  0.903262, Average Loss  0.871872, Time  0.466153
2021-09-08 15:24:31.315380 : Epoch  1, Batch    869, Loss  0.866481, Average Loss  0.871864, Time  0.444843
2021-09-08 15:24:32.966927 : Epoch  1, Batch    870, Loss  0.872336, Average Loss  0.871883, Time  0.356986
2021-09-08 15:24:34.615730 : Epoch  1, Batch    871, Loss  0.887326, Average Loss  0.872069, Time  0.354664
2021-09-08 15:24:36.269851 : Epoch  1, Batch    872, Loss  0.883709, Average Loss  0.872129, Time  0.361136
2021-09-08 15:24:37.928510 : Epoch  1, Batch    873, Loss  0.889766, Average Loss  0.872222, Time  0.355896
2021-09-08 15:24:39.685992 : Epoch  1, Batch    874, Loss  0.884829, Average Loss  0.872275, Time  0.466238
2021-09-08 15:24:41.335750 : Epoch  1, Batch    875, Loss  0.871114, Average Loss  0.872350, Time  0.355911
2021-09-08 15:24:42.982572 : Epoch  1, Batch    876, Loss  0.858737, Average Loss  0.872299, Time  0.357366
2021-09-08 15:24:44.631064 : Epoch  1, Batch    877, Loss  0.890237, Average Loss  0.872383, Time  0.357657
2021-09-08 15:24:46.274799 : Epoch  1, Batch    878, Loss  0.842693, Average Loss  0.872312, Time  0.356258
2021-09-08 15:24:47.901927 : Epoch  1, Batch    879, Loss  0.848922, Average Loss  0.872192, Time  0.355898
2021-09-08 15:24:49.543081 : Epoch  1, Batch    880, Loss  0.879100, Average Loss  0.872138, Time  0.356131
2021-09-08 15:24:51.149148 : Epoch  1, Batch    881, Loss  0.847588, Average Loss  0.872046, Time  0.354503
2021-09-08 15:24:52.779644 : Epoch  1, Batch    882, Loss  0.894194, Average Loss  0.872253, Time  0.356426
2021-09-08 15:24:54.396967 : Epoch  1, Batch    883, Loss  0.873076, Average Loss  0.872491, Time  0.355718
2021-09-08 15:24:56.037745 : Epoch  1, Batch    884, Loss  0.880764, Average Loss  0.872455, Time  0.353520
2021-09-08 15:24:57.747831 : Epoch  1, Batch    885, Loss  0.867100, Average Loss  0.872511, Time  0.464004
2021-09-08 15:24:59.368590 : Epoch  1, Batch    886, Loss  0.853177, Average Loss  0.872512, Time  0.353242
2021-09-08 15:25:00.970272 : Epoch  1, Batch    887, Loss  0.843414, Average Loss  0.872273, Time  0.355649
2021-09-08 15:25:02.673176 : Epoch  1, Batch    888, Loss  0.854370, Average Loss  0.872108, Time  0.437083
2021-09-08 15:25:04.374382 : Epoch  1, Batch    889, Loss  0.870881, Average Loss  0.871962, Time  0.444064
2021-09-08 15:25:05.980454 : Epoch  1, Batch    890, Loss  0.841351, Average Loss  0.871767, Time  0.353385
2021-09-08 15:25:07.605958 : Epoch  1, Batch    891, Loss  0.880954, Average Loss  0.871844, Time  0.355857
2021-09-08 15:25:09.353314 : Epoch  1, Batch    892, Loss  0.846583, Average Loss  0.871769, Time  0.459433
2021-09-08 15:25:11.003288 : Epoch  1, Batch    893, Loss  0.902932, Average Loss  0.871871, Time  0.355307
2021-09-08 15:25:12.649217 : Epoch  1, Batch    894, Loss  0.862338, Average Loss  0.871706, Time  0.356231
2021-09-08 15:25:14.367852 : Epoch  1, Batch    895, Loss  0.884586, Average Loss  0.871680, Time  0.417694
2021-09-08 15:25:16.152335 : Epoch  1, Batch    896, Loss  0.880577, Average Loss  0.871673, Time  0.468455
2021-09-08 15:25:17.866190 : Epoch  1, Batch    897, Loss  0.876833, Average Loss  0.871671, Time  0.401144
2021-09-08 15:25:19.530660 : Epoch  1, Batch    898, Loss  0.876231, Average Loss  0.871670, Time  0.356547
2021-09-08 15:25:21.193956 : Epoch  1, Batch    899, Loss  0.855599, Average Loss  0.871739, Time  0.356666
2021-09-08 15:25:22.965631 : Epoch  1, Batch    900, Loss  0.891598, Average Loss  0.871808, Time  0.466908
2021-09-08 15:29:51.482502 : CheckPoint: Validation Loss  0.00060148, Best Loss  0.00058797
2021-09-08 15:29:53.126375 : Epoch  1, Batch    901, Loss  0.849749, Average Loss  0.871631, Time  0.357403
2021-09-08 15:29:54.771894 : Epoch  1, Batch    902, Loss  0.822619, Average Loss  0.871378, Time  0.354781
2021-09-08 15:29:56.417140 : Epoch  1, Batch    903, Loss  0.882000, Average Loss  0.871451, Time  0.355735
2021-09-08 15:29:58.132320 : Epoch  1, Batch    904, Loss  0.854378, Average Loss  0.871388, Time  0.413911
2021-09-08 15:29:59.798234 : Epoch  1, Batch    905, Loss  0.885217, Average Loss  0.871786, Time  0.355872
2021-09-08 15:30:01.516667 : Epoch  1, Batch    906, Loss  0.882891, Average Loss  0.871703, Time  0.420689
2021-09-08 15:30:03.181300 : Epoch  1, Batch    907, Loss  0.858593, Average Loss  0.871626, Time  0.356857
2021-09-08 15:30:04.836770 : Epoch  1, Batch    908, Loss  0.883519, Average Loss  0.871737, Time  0.356921
2021-09-08 15:30:06.482689 : Epoch  1, Batch    909, Loss  0.838654, Average Loss  0.871548, Time  0.355528
2021-09-08 15:30:08.127226 : Epoch  1, Batch    910, Loss  0.876634, Average Loss  0.871607, Time  0.355237
2021-09-08 15:30:09.860748 : Epoch  1, Batch    911, Loss  0.914081, Average Loss  0.871882, Time  0.429170
2021-09-08 15:30:11.521238 : Epoch  1, Batch    912, Loss  0.900674, Average Loss  0.872123, Time  0.354530
2021-09-08 15:30:13.233914 : Epoch  1, Batch    913, Loss  0.879225, Average Loss  0.872032, Time  0.407318
2021-09-08 15:30:14.892234 : Epoch  1, Batch    914, Loss  0.874007, Average Loss  0.872015, Time  0.356430
2021-09-08 15:30:16.539709 : Epoch  1, Batch    915, Loss  0.884635, Average Loss  0.872069, Time  0.355037
2021-09-08 15:30:18.183721 : Epoch  1, Batch    916, Loss  0.891973, Average Loss  0.872140, Time  0.355063
2021-09-08 15:30:19.840451 : Epoch  1, Batch    917, Loss  0.859270, Average Loss  0.872180, Time  0.356693
2021-09-08 15:30:21.533203 : Epoch  1, Batch    918, Loss  0.890252, Average Loss  0.872260, Time  0.387491
2021-09-08 15:30:23.194024 : Epoch  1, Batch    919, Loss  0.898624, Average Loss  0.872340, Time  0.356407
2021-09-08 15:30:24.950772 : Epoch  1, Batch    920, Loss  0.906012, Average Loss  0.872441, Time  0.443175
2021-09-08 15:30:26.587487 : Epoch  1, Batch    921, Loss  0.884230, Average Loss  0.872461, Time  0.354743
2021-09-08 15:30:28.195967 : Epoch  1, Batch    922, Loss  0.873389, Average Loss  0.872467, Time  0.354379
2021-09-08 15:30:29.796243 : Epoch  1, Batch    923, Loss  0.846655, Average Loss  0.872250, Time  0.355588
2021-09-08 15:30:31.397610 : Epoch  1, Batch    924, Loss  0.846734, Average Loss  0.872095, Time  0.352577
2021-09-08 15:30:33.005922 : Epoch  1, Batch    925, Loss  0.858647, Average Loss  0.872131, Time  0.356890
2021-09-08 15:30:34.611169 : Epoch  1, Batch    926, Loss  0.854583, Average Loss  0.872040, Time  0.356945
2021-09-08 15:30:36.209003 : Epoch  1, Batch    927, Loss  0.905164, Average Loss  0.872314, Time  0.353685
2021-09-08 15:30:37.802498 : Epoch  1, Batch    928, Loss  0.855139, Average Loss  0.872296, Time  0.354821
2021-09-08 15:30:39.416916 : Epoch  1, Batch    929, Loss  0.862812, Average Loss  0.872247, Time  0.355536
2021-09-08 15:30:41.042025 : Epoch  1, Batch    930, Loss  0.854150, Average Loss  0.872279, Time  0.358188
2021-09-08 15:30:42.641797 : Epoch  1, Batch    931, Loss  0.920855, Average Loss  0.872559, Time  0.353986
2021-09-08 15:30:44.247915 : Epoch  1, Batch    932, Loss  0.842707, Average Loss  0.872375, Time  0.354232
2021-09-08 15:30:45.865861 : Epoch  1, Batch    933, Loss  0.899776, Average Loss  0.872397, Time  0.354901
2021-09-08 15:30:47.475809 : Epoch  1, Batch    934, Loss  0.862397, Average Loss  0.872192, Time  0.354257
2021-09-08 15:30:49.076652 : Epoch  1, Batch    935, Loss  0.854343, Average Loss  0.871977, Time  0.351464
2021-09-08 15:30:50.696724 : Epoch  1, Batch    936, Loss  0.848070, Average Loss  0.871939, Time  0.353222
2021-09-08 15:30:52.416910 : Epoch  1, Batch    937, Loss  0.855260, Average Loss  0.871924, Time  0.456978
2021-09-08 15:30:54.018064 : Epoch  1, Batch    938, Loss  0.874574, Average Loss  0.871842, Time  0.354428
2021-09-08 15:30:55.708296 : Epoch  1, Batch    939, Loss  0.853526, Average Loss  0.871693, Time  0.433702
2021-09-08 15:30:57.304952 : Epoch  1, Batch    940, Loss  0.868804, Average Loss  0.871720, Time  0.354211
2021-09-08 15:30:58.908523 : Epoch  1, Batch    941, Loss  0.851253, Average Loss  0.871686, Time  0.355296
2021-09-08 15:31:00.508413 : Epoch  1, Batch    942, Loss  0.859887, Average Loss  0.871515, Time  0.353045
2021-09-08 15:31:02.107469 : Epoch  1, Batch    943, Loss  0.886202, Average Loss  0.871558, Time  0.352779
2021-09-08 15:31:03.708810 : Epoch  1, Batch    944, Loss  0.898308, Average Loss  0.871695, Time  0.354136
2021-09-08 15:31:05.305743 : Epoch  1, Batch    945, Loss  0.891045, Average Loss  0.871867, Time  0.351966
2021-09-08 15:31:06.909333 : Epoch  1, Batch    946, Loss  0.854741, Average Loss  0.871773, Time  0.354228
2021-09-08 15:31:08.507857 : Epoch  1, Batch    947, Loss  0.885185, Average Loss  0.871889, Time  0.355289
2021-09-08 15:31:10.134240 : Epoch  1, Batch    948, Loss  0.879875, Average Loss  0.871825, Time  0.357477
2021-09-08 15:31:11.757292 : Epoch  1, Batch    949, Loss  0.848614, Average Loss  0.871557, Time  0.355795
2021-09-08 15:31:13.372996 : Epoch  1, Batch    950, Loss  0.902951, Average Loss  0.871736, Time  0.355818
2021-09-08 15:31:14.996366 : Epoch  1, Batch    951, Loss  0.915063, Average Loss  0.871881, Time  0.354972
2021-09-08 15:31:16.621011 : Epoch  1, Batch    952, Loss  0.842073, Average Loss  0.871656, Time  0.357707
2021-09-08 15:31:18.235795 : Epoch  1, Batch    953, Loss  0.854870, Average Loss  0.871781, Time  0.354874
2021-09-08 15:31:19.899755 : Epoch  1, Batch    954, Loss  0.873689, Average Loss  0.871893, Time  0.394208
2021-09-08 15:31:21.517151 : Epoch  1, Batch    955, Loss  0.898778, Average Loss  0.872056, Time  0.354716
2021-09-08 15:31:23.236377 : Epoch  1, Batch    956, Loss  0.856487, Average Loss  0.871714, Time  0.455623
2021-09-08 15:31:24.863411 : Epoch  1, Batch    957, Loss  0.852772, Average Loss  0.871552, Time  0.356337
2021-09-08 15:31:26.491287 : Epoch  1, Batch    958, Loss  0.847166, Average Loss  0.871433, Time  0.356240
2021-09-08 15:31:28.108181 : Epoch  1, Batch    959, Loss  0.887750, Average Loss  0.871552, Time  0.355987
2021-09-08 15:31:29.723954 : Epoch  1, Batch    960, Loss  0.852559, Average Loss  0.871526, Time  0.355514
2021-09-08 15:31:31.333498 : Epoch  1, Batch    961, Loss  0.867175, Average Loss  0.871523, Time  0.355381
2021-09-08 15:31:32.935875 : Epoch  1, Batch    962, Loss  0.848465, Average Loss  0.871290, Time  0.353075
2021-09-08 15:31:34.537792 : Epoch  1, Batch    963, Loss  0.874537, Average Loss  0.871266, Time  0.357250
2021-09-08 15:31:36.150427 : Epoch  1, Batch    964, Loss  0.846361, Average Loss  0.871128, Time  0.355688
2021-09-08 15:31:37.750457 : Epoch  1, Batch    965, Loss  0.880184, Average Loss  0.871267, Time  0.356662
2021-09-08 15:31:39.351498 : Epoch  1, Batch    966, Loss  0.850613, Average Loss  0.871241, Time  0.354959
2021-09-08 15:31:40.956857 : Epoch  1, Batch    967, Loss  0.856368, Average Loss  0.870958, Time  0.355699
2021-09-08 15:31:42.564796 : Epoch  1, Batch    968, Loss  0.860136, Average Loss  0.870960, Time  0.353103
2021-09-08 15:31:44.166436 : Epoch  1, Batch    969, Loss  0.867740, Average Loss  0.870989, Time  0.352773
2021-09-08 15:31:45.765667 : Epoch  1, Batch    970, Loss  0.891450, Average Loss  0.871104, Time  0.353032
2021-09-08 15:31:47.370596 : Epoch  1, Batch    971, Loss  0.859885, Average Loss  0.870993, Time  0.353803
2021-09-08 15:31:48.975860 : Epoch  1, Batch    972, Loss  0.874617, Average Loss  0.870949, Time  0.355297
2021-09-08 15:31:50.605809 : Epoch  1, Batch    973, Loss  0.840964, Average Loss  0.870830, Time  0.355149
2021-09-08 15:31:52.261949 : Epoch  1, Batch    974, Loss  0.879212, Average Loss  0.870921, Time  0.355801
2021-09-08 15:31:54.031073 : Epoch  1, Batch    975, Loss  0.860780, Average Loss  0.870896, Time  0.464241
2021-09-08 15:31:55.693484 : Epoch  1, Batch    976, Loss  0.875837, Average Loss  0.870970, Time  0.354381
2021-09-08 15:31:57.357265 : Epoch  1, Batch    977, Loss  0.870532, Average Loss  0.870869, Time  0.373200
2021-09-08 15:31:59.000858 : Epoch  1, Batch    978, Loss  0.849077, Average Loss  0.870674, Time  0.355452
2021-09-08 15:32:00.649166 : Epoch  1, Batch    979, Loss  0.850456, Average Loss  0.870531, Time  0.356534
2021-09-08 15:32:02.312802 : Epoch  1, Batch    980, Loss  0.863304, Average Loss  0.870481, Time  0.355662
2021-09-08 15:32:03.974428 : Epoch  1, Batch    981, Loss  0.878512, Average Loss  0.870660, Time  0.354491
2021-09-08 15:32:05.713853 : Epoch  1, Batch    982, Loss  0.866930, Average Loss  0.870547, Time  0.445893
2021-09-08 15:32:07.357499 : Epoch  1, Batch    983, Loss  0.881760, Average Loss  0.870611, Time  0.354561
2021-09-08 15:32:09.053618 : Epoch  1, Batch    984, Loss  0.864666, Average Loss  0.870557, Time  0.413686
2021-09-08 15:32:10.709914 : Epoch  1, Batch    985, Loss  0.878257, Average Loss  0.870566, Time  0.356584
2021-09-08 15:32:12.372422 : Epoch  1, Batch    986, Loss  0.879392, Average Loss  0.870615, Time  0.355286
2021-09-08 15:32:14.020061 : Epoch  1, Batch    987, Loss  0.871295, Average Loss  0.870599, Time  0.355933
2021-09-08 15:32:15.676171 : Epoch  1, Batch    988, Loss  0.882503, Average Loss  0.870616, Time  0.357021
2021-09-08 15:32:17.312339 : Epoch  1, Batch    989, Loss  0.878665, Average Loss  0.870546, Time  0.336750
2021-09-08 15:32:18.976118 : Epoch  1, Batch    990, Loss  0.887577, Average Loss  0.870705, Time  0.356087
2021-09-08 15:32:20.746770 : Epoch  1, Batch    991, Loss  0.875737, Average Loss  0.870749, Time  0.466827
2021-09-08 15:32:22.404813 : Epoch  1, Batch    992, Loss  0.858077, Average Loss  0.870719, Time  0.356753
2021-09-08 15:32:24.059904 : Epoch  1, Batch    993, Loss  0.861404, Average Loss  0.870736, Time  0.355436
2021-09-08 15:32:25.724792 : Epoch  1, Batch    994, Loss  0.890572, Average Loss  0.871017, Time  0.357272
2021-09-08 15:32:27.373800 : Epoch  1, Batch    995, Loss  0.870271, Average Loss  0.871123, Time  0.355414
2021-09-08 15:32:29.013220 : Epoch  1, Batch    996, Loss  0.849624, Average Loss  0.870880, Time  0.355815
2021-09-08 15:32:30.655805 : Epoch  1, Batch    997, Loss  0.885152, Average Loss  0.870894, Time  0.355970
2021-09-08 15:32:32.367951 : Epoch  1, Batch    998, Loss  0.868378, Average Loss  0.870870, Time  0.418856
2021-09-08 15:32:34.012209 : Epoch  1, Batch    999, Loss  0.834560, Average Loss  0.870782, Time  0.356058
2021-09-08 15:32:43.298356 : Epoch  1, Batch   1000, Loss  0.881515, Average Loss  0.870888, Time  0.473684
2021-09-08 15:37:07.397662 : CheckPoint: Validation Loss  0.00061134, Best Loss  0.00058797
2021-09-08 15:37:09.009617 : Epoch  1, Batch   1001, Loss  0.842387, Average Loss  0.870451, Time  0.354811
2021-09-08 15:37:10.615399 : Epoch  1, Batch   1002, Loss  0.871012, Average Loss  0.870606, Time  0.354603
2021-09-08 15:37:12.210883 : Epoch  1, Batch   1003, Loss  0.856945, Average Loss  0.870504, Time  0.353522
2021-09-08 15:37:13.813387 : Epoch  1, Batch   1004, Loss  0.841175, Average Loss  0.870371, Time  0.353245
2021-09-08 15:37:15.437526 : Epoch  1, Batch   1005, Loss  0.855392, Average Loss  0.870273, Time  0.355688
2021-09-08 15:37:17.063431 : Epoch  1, Batch   1006, Loss  0.843496, Average Loss  0.870201, Time  0.359741
2021-09-08 15:37:18.675873 : Epoch  1, Batch   1007, Loss  0.842669, Average Loss  0.870117, Time  0.353405
2021-09-08 15:37:20.318030 : Epoch  1, Batch   1008, Loss  0.884116, Average Loss  0.870198, Time  0.354196
2021-09-08 15:37:22.003114 : Epoch  1, Batch   1009, Loss  0.877110, Average Loss  0.870315, Time  0.398286
2021-09-08 15:37:23.646340 : Epoch  1, Batch   1010, Loss  0.882919, Average Loss  0.870358, Time  0.356777
2021-09-08 15:37:25.399701 : Epoch  1, Batch   1011, Loss  0.872915, Average Loss  0.870242, Time  0.461249
2021-09-08 15:37:27.035392 : Epoch  1, Batch   1012, Loss  0.832887, Average Loss  0.870033, Time  0.356111
2021-09-08 15:37:28.684003 : Epoch  1, Batch   1013, Loss  0.858251, Average Loss  0.869808, Time  0.356946
2021-09-08 15:37:30.337494 : Epoch  1, Batch   1014, Loss  0.911009, Average Loss  0.869962, Time  0.357855
2021-09-08 15:37:31.979368 : Epoch  1, Batch   1015, Loss  0.839511, Average Loss  0.869779, Time  0.355076
2021-09-08 15:37:33.617528 : Epoch  1, Batch   1016, Loss  0.872292, Average Loss  0.869913, Time  0.355289
2021-09-08 15:37:35.253954 : Epoch  1, Batch   1017, Loss  0.825237, Average Loss  0.869597, Time  0.356078
2021-09-08 15:37:36.978552 : Epoch  1, Batch   1018, Loss  0.839987, Average Loss  0.869386, Time  0.441485
2021-09-08 15:37:38.619166 : Epoch  1, Batch   1019, Loss  0.894705, Average Loss  0.869535, Time  0.355312
2021-09-08 15:37:40.327024 : Epoch  1, Batch   1020, Loss  0.847670, Average Loss  0.869074, Time  0.404172
2021-09-08 15:37:41.989657 : Epoch  1, Batch   1021, Loss  0.892343, Average Loss  0.869283, Time  0.355253
2021-09-08 15:37:43.619069 : Epoch  1, Batch   1022, Loss  0.888537, Average Loss  0.869331, Time  0.355394
2021-09-08 15:37:45.270540 : Epoch  1, Batch   1023, Loss  0.869709, Average Loss  0.869370, Time  0.356083
2021-09-08 15:37:46.919432 : Epoch  1, Batch   1024, Loss  0.839791, Average Loss  0.869289, Time  0.356287
2021-09-08 15:37:48.561159 : Epoch  1, Batch   1025, Loss  0.895177, Average Loss  0.869453, Time  0.354037
2021-09-08 15:37:50.198036 : Epoch  1, Batch   1026, Loss  0.857001, Average Loss  0.869521, Time  0.354684
2021-09-08 15:37:51.805121 : Epoch  1, Batch   1027, Loss  0.837270, Average Loss  0.869177, Time  0.350303
2021-09-08 15:37:53.398434 : Epoch  1, Batch   1028, Loss  0.865781, Average Loss  0.869289, Time  0.354326
2021-09-08 15:37:55.059349 : Epoch  1, Batch   1029, Loss  0.892587, Average Loss  0.869426, Time  0.403549
2021-09-08 15:37:56.701854 : Epoch  1, Batch   1030, Loss  0.878883, Average Loss  0.869521, Time  0.355520
2021-09-08 15:37:58.449700 : Epoch  1, Batch   1031, Loss  0.861574, Average Loss  0.869418, Time  0.452517
2021-09-08 15:38:00.101255 : Epoch  1, Batch   1032, Loss  0.880164, Average Loss  0.869389, Time  0.356987
2021-09-08 15:38:01.760757 : Epoch  1, Batch   1033, Loss  0.906792, Average Loss  0.869430, Time  0.356124
2021-09-08 15:38:03.413232 : Epoch  1, Batch   1034, Loss  0.850534, Average Loss  0.869304, Time  0.358670
2021-09-08 15:38:05.055150 : Epoch  1, Batch   1035, Loss  0.890300, Average Loss  0.869233, Time  0.355350
2021-09-08 15:38:06.670245 : Epoch  1, Batch   1036, Loss  0.862058, Average Loss  0.869147, Time  0.334139
2021-09-08 15:38:08.310444 : Epoch  1, Batch   1037, Loss  0.912417, Average Loss  0.869509, Time  0.355739
2021-09-08 15:38:10.055514 : Epoch  1, Batch   1038, Loss  0.866056, Average Loss  0.869617, Time  0.463270
2021-09-08 15:38:11.690186 : Epoch  1, Batch   1039, Loss  0.870920, Average Loss  0.869643, Time  0.355358
2021-09-08 15:38:13.351804 : Epoch  1, Batch   1040, Loss  0.874000, Average Loss  0.869622, Time  0.388608
2021-09-08 15:38:14.993127 : Epoch  1, Batch   1041, Loss  0.854412, Average Loss  0.869481, Time  0.355521
2021-09-08 15:38:16.635597 : Epoch  1, Batch   1042, Loss  0.868181, Average Loss  0.869338, Time  0.356183
2021-09-08 15:38:18.290558 : Epoch  1, Batch   1043, Loss  0.852206, Average Loss  0.869258, Time  0.354103
2021-09-08 15:38:19.918552 : Epoch  1, Batch   1044, Loss  0.853288, Average Loss  0.869160, Time  0.354257
2021-09-08 15:38:21.554059 : Epoch  1, Batch   1045, Loss  0.832818, Average Loss  0.869127, Time  0.356031
2021-09-08 15:38:23.205171 : Epoch  1, Batch   1046, Loss  0.878976, Average Loss  0.869292, Time  0.356952
2021-09-08 15:38:24.937766 : Epoch  1, Batch   1047, Loss  0.859146, Average Loss  0.869275, Time  0.430284
2021-09-08 15:38:26.590538 : Epoch  1, Batch   1048, Loss  0.862191, Average Loss  0.869284, Time  0.353601
2021-09-08 15:38:28.295278 : Epoch  1, Batch   1049, Loss  0.870946, Average Loss  0.869316, Time  0.413231
2021-09-08 15:38:29.959113 : Epoch  1, Batch   1050, Loss  0.889650, Average Loss  0.869430, Time  0.357536
2021-09-08 15:38:31.600407 : Epoch  1, Batch   1051, Loss  0.866310, Average Loss  0.869421, Time  0.355364
2021-09-08 15:38:33.249383 : Epoch  1, Batch   1052, Loss  0.899769, Average Loss  0.869673, Time  0.357030
2021-09-08 15:38:34.915995 : Epoch  1, Batch   1053, Loss  0.888984, Average Loss  0.869723, Time  0.359574
2021-09-08 15:38:36.669246 : Epoch  1, Batch   1054, Loss  0.863980, Average Loss  0.869601, Time  0.460054
2021-09-08 15:38:38.301652 : Epoch  1, Batch   1055, Loss  0.841246, Average Loss  0.869283, Time  0.357321
2021-09-08 15:38:39.992118 : Epoch  1, Batch   1056, Loss  0.870471, Average Loss  0.869287, Time  0.390786
2021-09-08 15:38:41.659299 : Epoch  1, Batch   1057, Loss  0.857994, Average Loss  0.869214, Time  0.357953
2021-09-08 15:38:43.320772 : Epoch  1, Batch   1058, Loss  0.872069, Average Loss  0.869227, Time  0.356240
2021-09-08 15:38:44.967383 : Epoch  1, Batch   1059, Loss  0.844957, Average Loss  0.868946, Time  0.354872
2021-09-08 15:38:46.619027 : Epoch  1, Batch   1060, Loss  0.885831, Average Loss  0.869097, Time  0.356642
2021-09-08 15:38:48.275649 : Epoch  1, Batch   1061, Loss  0.807043, Average Loss  0.868928, Time  0.354023
2021-09-08 15:38:49.919298 : Epoch  1, Batch   1062, Loss  0.883279, Average Loss  0.868883, Time  0.354688
2021-09-08 15:38:51.678561 : Epoch  1, Batch   1063, Loss  0.864441, Average Loss  0.868909, Time  0.463364
2021-09-08 15:38:53.331231 : Epoch  1, Batch   1064, Loss  0.870950, Average Loss  0.869086, Time  0.354838
2021-09-08 15:38:54.995456 : Epoch  1, Batch   1065, Loss  0.880038, Average Loss  0.869121, Time  0.357422
2021-09-08 15:38:56.655462 : Epoch  1, Batch   1066, Loss  0.884138, Average Loss  0.869122, Time  0.355747
2021-09-08 15:38:58.291079 : Epoch  1, Batch   1067, Loss  0.859335, Average Loss  0.869078, Time  0.356095
2021-09-08 15:38:59.921081 : Epoch  1, Batch   1068, Loss  0.820618, Average Loss  0.868664, Time  0.354185
2021-09-08 15:39:01.559035 : Epoch  1, Batch   1069, Loss  0.889486, Average Loss  0.868779, Time  0.357507
2021-09-08 15:39:03.312871 : Epoch  1, Batch   1070, Loss  0.873756, Average Loss  0.868786, Time  0.465498
2021-09-08 15:39:04.959030 : Epoch  1, Batch   1071, Loss  0.851980, Average Loss  0.868610, Time  0.355996
2021-09-08 15:39:06.609729 : Epoch  1, Batch   1072, Loss  0.894274, Average Loss  0.868663, Time  0.354533
2021-09-08 15:39:08.241373 : Epoch  1, Batch   1073, Loss  0.866274, Average Loss  0.868545, Time  0.355986
2021-09-08 15:39:09.873294 : Epoch  1, Batch   1074, Loss  0.873772, Average Loss  0.868490, Time  0.355533
2021-09-08 15:39:11.505784 : Epoch  1, Batch   1075, Loss  0.858868, Average Loss  0.868429, Time  0.355904
2021-09-08 15:39:13.138218 : Epoch  1, Batch   1076, Loss  0.863456, Average Loss  0.868452, Time  0.354058
2021-09-08 15:39:14.773076 : Epoch  1, Batch   1077, Loss  0.889140, Average Loss  0.868447, Time  0.355487
2021-09-08 15:39:16.413614 : Epoch  1, Batch   1078, Loss  0.886052, Average Loss  0.868664, Time  0.355784
2021-09-08 15:39:18.096102 : Epoch  1, Batch   1079, Loss  0.892915, Average Loss  0.868883, Time  0.397152
2021-09-08 15:39:19.737149 : Epoch  1, Batch   1080, Loss  0.838071, Average Loss  0.868678, Time  0.356557
2021-09-08 15:39:21.464219 : Epoch  1, Batch   1081, Loss  0.890506, Average Loss  0.868893, Time  0.440859
2021-09-08 15:39:23.110920 : Epoch  1, Batch   1082, Loss  0.886581, Average Loss  0.868855, Time  0.356195
2021-09-08 15:39:24.764053 : Epoch  1, Batch   1083, Loss  0.854491, Average Loss  0.868762, Time  0.355249
2021-09-08 15:39:26.404900 : Epoch  1, Batch   1084, Loss  0.864774, Average Loss  0.868682, Time  0.355649
2021-09-08 15:39:28.058646 : Epoch  1, Batch   1085, Loss  0.868339, Average Loss  0.868688, Time  0.354923
2021-09-08 15:39:29.812921 : Epoch  1, Batch   1086, Loss  0.863549, Average Loss  0.868740, Time  0.454544
2021-09-08 15:39:31.464154 : Epoch  1, Batch   1087, Loss  0.881896, Average Loss  0.868932, Time  0.355574
2021-09-08 15:39:33.148876 : Epoch  1, Batch   1088, Loss  0.880254, Average Loss  0.869062, Time  0.389752
2021-09-08 15:39:34.806192 : Epoch  1, Batch   1089, Loss  0.850931, Average Loss  0.868962, Time  0.356233
2021-09-08 15:39:36.446871 : Epoch  1, Batch   1090, Loss  0.861181, Average Loss  0.869061, Time  0.354637
2021-09-08 15:39:38.086203 : Epoch  1, Batch   1091, Loss  0.872062, Average Loss  0.869017, Time  0.355638
2021-09-08 15:39:39.747787 : Epoch  1, Batch   1092, Loss  0.833901, Average Loss  0.868953, Time  0.355928
2021-09-08 15:39:41.446277 : Epoch  1, Batch   1093, Loss  0.863422, Average Loss  0.868756, Time  0.399266
2021-09-08 15:39:43.111061 : Epoch  1, Batch   1094, Loss  0.869658, Average Loss  0.868792, Time  0.358461
2021-09-08 15:39:44.847809 : Epoch  1, Batch   1095, Loss  0.880081, Average Loss  0.868770, Time  0.436031
2021-09-08 15:39:46.504827 : Epoch  1, Batch   1096, Loss  0.880491, Average Loss  0.868770, Time  0.357250
2021-09-08 15:39:48.166736 : Epoch  1, Batch   1097, Loss  0.857478, Average Loss  0.868673, Time  0.356967
2021-09-08 15:39:49.819023 : Epoch  1, Batch   1098, Loss  0.903004, Average Loss  0.868807, Time  0.355548
2021-09-08 15:39:51.478060 : Epoch  1, Batch   1099, Loss  0.870220, Average Loss  0.868880, Time  0.356051
2021-09-08 15:39:53.227265 : Epoch  1, Batch   1100, Loss  0.836406, Average Loss  0.868604, Time  0.451946
2021-09-08 15:44:16.987123 : CheckPoint: Validation Loss  0.00059141, Best Loss  0.00058797
2021-09-08 15:44:18.615094 : Epoch  1, Batch   1101, Loss  0.912745, Average Loss  0.868919, Time  0.360811
2021-09-08 15:44:20.227636 : Epoch  1, Batch   1102, Loss  0.870327, Average Loss  0.869157, Time  0.355011
2021-09-08 15:44:21.849142 : Epoch  1, Batch   1103, Loss  0.848872, Average Loss  0.868992, Time  0.355114
2021-09-08 15:44:23.458669 : Epoch  1, Batch   1104, Loss  0.888045, Average Loss  0.869160, Time  0.351805
2021-09-08 15:44:25.059761 : Epoch  1, Batch   1105, Loss  0.893765, Average Loss  0.869203, Time  0.353431
2021-09-08 15:44:26.675677 : Epoch  1, Batch   1106, Loss  0.844089, Average Loss  0.869009, Time  0.358373
2021-09-08 15:44:28.310160 : Epoch  1, Batch   1107, Loss  0.845039, Average Loss  0.868941, Time  0.356779
2021-09-08 15:44:30.075457 : Epoch  1, Batch   1108, Loss  0.870840, Average Loss  0.868878, Time  0.460535
2021-09-08 15:44:31.730569 : Epoch  1, Batch   1109, Loss  0.869544, Average Loss  0.869032, Time  0.357025
2021-09-08 15:44:33.345463 : Epoch  1, Batch   1110, Loss  0.862806, Average Loss  0.868963, Time  0.353359
2021-09-08 15:44:35.058464 : Epoch  1, Batch   1111, Loss  0.859570, Average Loss  0.868690, Time  0.463731
2021-09-08 15:44:36.673706 : Epoch  1, Batch   1112, Loss  0.860931, Average Loss  0.868492, Time  0.353209
2021-09-08 15:44:38.299871 : Epoch  1, Batch   1113, Loss  0.892413, Average Loss  0.868558, Time  0.353951
2021-09-08 15:44:40.007954 : Epoch  1, Batch   1114, Loss  0.867394, Average Loss  0.868524, Time  0.434388
2021-09-08 15:44:41.649170 : Epoch  1, Batch   1115, Loss  0.897146, Average Loss  0.868587, Time  0.380278
2021-09-08 15:44:43.300785 : Epoch  1, Batch   1116, Loss  0.894012, Average Loss  0.868597, Time  0.355767
2021-09-08 15:44:45.001989 : Epoch  1, Batch   1117, Loss  0.877743, Average Loss  0.868690, Time  0.395227
2021-09-08 15:44:46.648557 : Epoch  1, Batch   1118, Loss  0.864807, Average Loss  0.868562, Time  0.336585
2021-09-08 15:44:48.315169 : Epoch  1, Batch   1119, Loss  0.894137, Average Loss  0.868540, Time  0.356157
2021-09-08 15:44:50.061646 : Epoch  1, Batch   1120, Loss  0.888209, Average Loss  0.868451, Time  0.457439
2021-09-08 15:44:51.692383 : Epoch  1, Batch   1121, Loss  0.920837, Average Loss  0.868634, Time  0.355197
2021-09-08 15:44:53.306727 : Epoch  1, Batch   1122, Loss  0.872590, Average Loss  0.868630, Time  0.353947
2021-09-08 15:44:54.908229 : Epoch  1, Batch   1123, Loss  0.876060, Average Loss  0.868777, Time  0.353526
2021-09-08 15:44:56.490854 : Epoch  1, Batch   1124, Loss  0.873442, Average Loss  0.868910, Time  0.336827
2021-09-08 15:44:58.091255 : Epoch  1, Batch   1125, Loss  0.878887, Average Loss  0.869012, Time  0.354198
2021-09-08 15:44:59.731063 : Epoch  1, Batch   1126, Loss  0.903233, Average Loss  0.869255, Time  0.394506
2021-09-08 15:45:01.328048 : Epoch  1, Batch   1127, Loss  0.887248, Average Loss  0.869165, Time  0.354893
2021-09-08 15:45:02.943607 : Epoch  1, Batch   1128, Loss  0.870836, Average Loss  0.869244, Time  0.350582
2021-09-08 15:45:04.557537 : Epoch  1, Batch   1129, Loss  0.862752, Average Loss  0.869244, Time  0.355869
2021-09-08 15:45:06.158421 : Epoch  1, Batch   1130, Loss  0.847129, Average Loss  0.869208, Time  0.352365
2021-09-08 15:45:07.759753 : Epoch  1, Batch   1131, Loss  0.847501, Average Loss  0.868842, Time  0.354426
2021-09-08 15:45:09.378411 : Epoch  1, Batch   1132, Loss  0.864532, Average Loss  0.868951, Time  0.356046
2021-09-08 15:45:11.020656 : Epoch  1, Batch   1133, Loss  0.884903, Average Loss  0.868876, Time  0.335268
2021-09-08 15:45:12.663419 : Epoch  1, Batch   1134, Loss  0.860969, Average Loss  0.868869, Time  0.358603
2021-09-08 15:45:14.344495 : Epoch  1, Batch   1135, Loss  0.876832, Average Loss  0.868982, Time  0.397703
2021-09-08 15:45:16.054106 : Epoch  1, Batch   1136, Loss  0.878928, Average Loss  0.869136, Time  0.412563
2021-09-08 15:45:17.706105 : Epoch  1, Batch   1137, Loss  0.896330, Average Loss  0.869341, Time  0.357676
2021-09-08 15:45:19.462506 : Epoch  1, Batch   1138, Loss  0.879054, Average Loss  0.869364, Time  0.454678
2021-09-08 15:45:21.104068 : Epoch  1, Batch   1139, Loss  0.845847, Average Loss  0.869325, Time  0.357199
2021-09-08 15:45:22.731020 : Epoch  1, Batch   1140, Loss  0.849601, Average Loss  0.869229, Time  0.357121
2021-09-08 15:45:24.490063 : Epoch  1, Batch   1141, Loss  0.871259, Average Loss  0.869329, Time  0.462109
2021-09-08 15:45:26.156281 : Epoch  1, Batch   1142, Loss  0.844567, Average Loss  0.869253, Time  0.356920
2021-09-08 15:45:27.775106 : Epoch  1, Batch   1143, Loss  0.861712, Average Loss  0.869130, Time  0.354944
2021-09-08 15:45:29.516000 : Epoch  1, Batch   1144, Loss  0.900277, Average Loss  0.869140, Time  0.455685
2021-09-08 15:45:31.155242 : Epoch  1, Batch   1145, Loss  0.893088, Average Loss  0.869150, Time  0.356969
2021-09-08 15:45:32.772258 : Epoch  1, Batch   1146, Loss  0.902246, Average Loss  0.869388, Time  0.356318
2021-09-08 15:45:34.508714 : Epoch  1, Batch   1147, Loss  0.842847, Average Loss  0.869176, Time  0.458108
2021-09-08 15:45:36.157353 : Epoch  1, Batch   1148, Loss  0.859391, Average Loss  0.869074, Time  0.356326
2021-09-08 15:45:37.795379 : Epoch  1, Batch   1149, Loss  0.874018, Average Loss  0.869201, Time  0.356009
2021-09-08 15:45:39.555123 : Epoch  1, Batch   1150, Loss  0.863078, Average Loss  0.869001, Time  0.457624
2021-09-08 15:45:41.214230 : Epoch  1, Batch   1151, Loss  0.839737, Average Loss  0.868625, Time  0.356216
2021-09-08 15:45:42.828524 : Epoch  1, Batch   1152, Loss  0.853591, Average Loss  0.868682, Time  0.353872
2021-09-08 15:45:44.564674 : Epoch  1, Batch   1153, Loss  0.870659, Average Loss  0.868761, Time  0.456247
2021-09-08 15:45:46.173734 : Epoch  1, Batch   1154, Loss  0.879050, Average Loss  0.868788, Time  0.319861
2021-09-08 15:45:47.801513 : Epoch  1, Batch   1155, Loss  0.839069, Average Loss  0.868490, Time  0.354975
2021-09-08 15:45:49.501904 : Epoch  1, Batch   1156, Loss  0.898606, Average Loss  0.868700, Time  0.415360
2021-09-08 15:45:51.227569 : Epoch  1, Batch   1157, Loss  0.873036, Average Loss  0.868802, Time  0.432650
2021-09-08 15:45:52.860168 : Epoch  1, Batch   1158, Loss  0.841426, Average Loss  0.868773, Time  0.356478
2021-09-08 15:45:54.490384 : Epoch  1, Batch   1159, Loss  0.873637, Average Loss  0.868702, Time  0.369809
2021-09-08 15:45:56.209443 : Epoch  1, Batch   1160, Loss  0.844136, Average Loss  0.868660, Time  0.429292
2021-09-08 15:45:57.837052 : Epoch  1, Batch   1161, Loss  0.859053, Average Loss  0.868620, Time  0.356515
2021-09-08 15:45:59.469352 : Epoch  1, Batch   1162, Loss  0.859099, Average Loss  0.868673, Time  0.356630
2021-09-08 15:46:01.225841 : Epoch  1, Batch   1163, Loss  0.853436, Average Loss  0.868567, Time  0.450766
2021-09-08 15:46:02.883788 : Epoch  1, Batch   1164, Loss  0.885535, Average Loss  0.868763, Time  0.357904
2021-09-08 15:46:04.516879 : Epoch  1, Batch   1165, Loss  0.867875, Average Loss  0.868702, Time  0.354926
2021-09-08 15:46:06.253032 : Epoch  1, Batch   1166, Loss  0.865668, Average Loss  0.868777, Time  0.453437
2021-09-08 15:46:07.896909 : Epoch  1, Batch   1167, Loss  0.862402, Average Loss  0.868807, Time  0.355351
2021-09-08 15:46:09.526772 : Epoch  1, Batch   1168, Loss  0.881736, Average Loss  0.868915, Time  0.355998
2021-09-08 15:46:11.263374 : Epoch  1, Batch   1169, Loss  0.879985, Average Loss  0.868976, Time  0.456634
2021-09-08 15:46:12.903456 : Epoch  1, Batch   1170, Loss  0.883277, Average Loss  0.868935, Time  0.354824
2021-09-08 15:46:14.514097 : Epoch  1, Batch   1171, Loss  0.865633, Average Loss  0.868964, Time  0.356076
2021-09-08 15:46:16.250307 : Epoch  1, Batch   1172, Loss  0.881421, Average Loss  0.868998, Time  0.452373
2021-09-08 15:46:17.892667 : Epoch  1, Batch   1173, Loss  0.864812, Average Loss  0.869117, Time  0.357683
2021-09-08 15:46:19.520569 : Epoch  1, Batch   1174, Loss  0.851752, Average Loss  0.868980, Time  0.356574
2021-09-08 15:46:21.275081 : Epoch  1, Batch   1175, Loss  0.861978, Average Loss  0.868986, Time  0.455838
2021-09-08 15:46:22.900714 : Epoch  1, Batch   1176, Loss  0.879533, Average Loss  0.869005, Time  0.334729
2021-09-08 15:46:24.517816 : Epoch  1, Batch   1177, Loss  0.878912, Average Loss  0.869046, Time  0.355590
2021-09-08 15:46:26.227958 : Epoch  1, Batch   1178, Loss  0.873924, Average Loss  0.869171, Time  0.436256
2021-09-08 15:46:27.952014 : Epoch  1, Batch   1179, Loss  0.887399, Average Loss  0.869355, Time  0.428057
2021-09-08 15:46:29.587932 : Epoch  1, Batch   1180, Loss  0.856882, Average Loss  0.869323, Time  0.355868
2021-09-08 15:46:31.201019 : Epoch  1, Batch   1181, Loss  0.866854, Average Loss  0.869265, Time  0.355001
2021-09-08 15:46:32.871044 : Epoch  1, Batch   1182, Loss  0.854132, Average Loss  0.869201, Time  0.381629
2021-09-08 15:46:34.491902 : Epoch  1, Batch   1183, Loss  0.891634, Average Loss  0.869250, Time  0.354913
2021-09-08 15:46:36.155248 : Epoch  1, Batch   1184, Loss  0.884648, Average Loss  0.869350, Time  0.380582
2021-09-08 15:46:37.907465 : Epoch  1, Batch   1185, Loss  0.866293, Average Loss  0.869290, Time  0.443442
2021-09-08 15:46:39.555947 : Epoch  1, Batch   1186, Loss  0.868817, Average Loss  0.869238, Time  0.356027
2021-09-08 15:46:41.191878 : Epoch  1, Batch   1187, Loss  0.896191, Average Loss  0.869362, Time  0.357671
2021-09-08 15:46:42.953556 : Epoch  1, Batch   1188, Loss  0.885005, Average Loss  0.869375, Time  0.455689
2021-09-08 15:46:44.606143 : Epoch  1, Batch   1189, Loss  0.858042, Average Loss  0.869271, Time  0.359296
2021-09-08 15:46:46.245885 : Epoch  1, Batch   1190, Loss  0.862377, Average Loss  0.869145, Time  0.356018
2021-09-08 15:46:47.984031 : Epoch  1, Batch   1191, Loss  0.865195, Average Loss  0.869093, Time  0.458600
2021-09-08 15:46:49.653106 : Epoch  1, Batch   1192, Loss  0.871465, Average Loss  0.869160, Time  0.350021
2021-09-08 15:46:51.312119 : Epoch  1, Batch   1193, Loss  0.860912, Average Loss  0.869157, Time  0.353872
2021-09-08 15:46:53.029716 : Epoch  1, Batch   1194, Loss  0.877066, Average Loss  0.869090, Time  0.431961
2021-09-08 15:46:54.765593 : Epoch  1, Batch   1195, Loss  0.894285, Average Loss  0.869210, Time  0.429827
2021-09-08 15:46:56.413752 : Epoch  1, Batch   1196, Loss  0.879380, Average Loss  0.869359, Time  0.355343
2021-09-08 15:46:58.059250 : Epoch  1, Batch   1197, Loss  0.864739, Average Loss  0.869257, Time  0.364099
2021-09-08 15:46:59.789671 : Epoch  1, Batch   1198, Loss  0.897510, Average Loss  0.869402, Time  0.437678
2021-09-08 15:47:01.435092 : Epoch  1, Batch   1199, Loss  0.861329, Average Loss  0.869536, Time  0.355484
2021-09-08 15:47:03.054088 : Epoch  1, Batch   1200, Loss  0.898768, Average Loss  0.869622, Time  0.355540
2021-09-08 15:51:31.603457 : CheckPoint: Validation Loss  0.00059123, Best Loss  0.00058797
2021-09-08 15:51:33.335782 : Epoch  1, Batch   1201, Loss  0.878261, Average Loss  0.869802, Time  0.440036
2021-09-08 15:51:35.064471 : Epoch  1, Batch   1202, Loss  0.870592, Average Loss  0.869800, Time  0.439752
2021-09-08 15:51:36.697396 : Epoch  1, Batch   1203, Loss  0.881816, Average Loss  0.869924, Time  0.354000
2021-09-08 15:51:38.314408 : Epoch  1, Batch   1204, Loss  0.854888, Average Loss  0.869992, Time  0.354290
2021-09-08 15:51:40.037089 : Epoch  1, Batch   1205, Loss  0.879069, Average Loss  0.870111, Time  0.465120
2021-09-08 15:51:41.662952 : Epoch  1, Batch   1206, Loss  0.892185, Average Loss  0.870354, Time  0.354939
2021-09-08 15:51:43.262876 : Epoch  1, Batch   1207, Loss  0.892410, Average Loss  0.870603, Time  0.352161
2021-09-08 15:51:44.986697 : Epoch  1, Batch   1208, Loss  0.892900, Average Loss  0.870647, Time  0.444375
2021-09-08 15:51:46.668849 : Epoch  1, Batch   1209, Loss  0.831934, Average Loss  0.870421, Time  0.436932
2021-09-08 15:51:48.306876 : Epoch  1, Batch   1210, Loss  0.884484, Average Loss  0.870429, Time  0.354975
2021-09-08 15:51:49.906759 : Epoch  1, Batch   1211, Loss  0.859174, Average Loss  0.870360, Time  0.352527
2021-09-08 15:51:51.665376 : Epoch  1, Batch   1212, Loss  0.881502, Average Loss  0.870603, Time  0.460846
2021-09-08 15:51:53.280255 : Epoch  1, Batch   1213, Loss  0.866050, Average Loss  0.870642, Time  0.355616
2021-09-08 15:51:54.907655 : Epoch  1, Batch   1214, Loss  0.871023, Average Loss  0.870442, Time  0.354362
2021-09-08 15:51:56.617807 : Epoch  1, Batch   1215, Loss  0.861021, Average Loss  0.870550, Time  0.452145
2021-09-08 15:51:58.298841 : Epoch  1, Batch   1216, Loss  0.878420, Average Loss  0.870580, Time  0.412623
2021-09-08 15:51:59.915473 : Epoch  1, Batch   1217, Loss  0.868725, Average Loss  0.870798, Time  0.355194
2021-09-08 15:52:01.522501 : Epoch  1, Batch   1218, Loss  0.852353, Average Loss  0.870860, Time  0.353583
2021-09-08 15:52:03.232234 : Epoch  1, Batch   1219, Loss  0.879573, Average Loss  0.870784, Time  0.447845
2021-09-08 15:52:04.835902 : Epoch  1, Batch   1220, Loss  0.897532, Average Loss  0.871033, Time  0.352880
2021-09-08 15:52:06.477916 : Epoch  1, Batch   1221, Loss  0.861105, Average Loss  0.870877, Time  0.356337
2021-09-08 15:52:08.237474 : Epoch  1, Batch   1222, Loss  0.867948, Average Loss  0.870774, Time  0.459407
2021-09-08 15:52:09.909369 : Epoch  1, Batch   1223, Loss  0.860968, Average Loss  0.870731, Time  0.355307
2021-09-08 15:52:11.574075 : Epoch  1, Batch   1224, Loss  0.849997, Average Loss  0.870782, Time  0.356525
2021-09-08 15:52:13.330527 : Epoch  1, Batch   1225, Loss  0.832776, Average Loss  0.870470, Time  0.454583
2021-09-08 15:52:15.042771 : Epoch  1, Batch   1226, Loss  0.873373, Average Loss  0.870551, Time  0.406942
2021-09-08 15:52:16.689107 : Epoch  1, Batch   1227, Loss  0.857696, Average Loss  0.870654, Time  0.354898
2021-09-08 15:52:18.333383 : Epoch  1, Batch   1228, Loss  0.847068, Average Loss  0.870560, Time  0.351256
2021-09-08 15:52:20.042965 : Epoch  1, Batch   1229, Loss  0.880145, Average Loss  0.870498, Time  0.460340
2021-09-08 15:52:21.683545 : Epoch  1, Batch   1230, Loss  0.860496, Average Loss  0.870406, Time  0.356485
2021-09-08 15:52:23.285493 : Epoch  1, Batch   1231, Loss  0.890260, Average Loss  0.870549, Time  0.358560
2021-09-08 15:52:25.039678 : Epoch  1, Batch   1232, Loss  0.905934, Average Loss  0.870678, Time  0.463141
2021-09-08 15:52:26.710908 : Epoch  1, Batch   1233, Loss  0.863030, Average Loss  0.870459, Time  0.395926
2021-09-08 15:52:28.311933 : Epoch  1, Batch   1234, Loss  0.902847, Average Loss  0.870721, Time  0.354607
2021-09-08 15:52:29.947082 : Epoch  1, Batch   1235, Loss  0.838228, Average Loss  0.870461, Time  0.353903
2021-09-08 15:52:31.649057 : Epoch  1, Batch   1236, Loss  0.876319, Average Loss  0.870532, Time  0.454182
2021-09-08 15:52:33.293565 : Epoch  1, Batch   1237, Loss  0.904293, Average Loss  0.870491, Time  0.355344
2021-09-08 15:52:34.914792 : Epoch  1, Batch   1238, Loss  0.862790, Average Loss  0.870475, Time  0.355277
2021-09-08 15:52:36.676654 : Epoch  1, Batch   1239, Loss  0.858422, Average Loss  0.870412, Time  0.467620
2021-09-08 15:52:38.307151 : Epoch  1, Batch   1240, Loss  0.850736, Average Loss  0.870296, Time  0.368218
2021-09-08 15:52:39.967573 : Epoch  1, Batch   1241, Loss  0.884969, Average Loss  0.870449, Time  0.356531
2021-09-08 15:52:41.638414 : Epoch  1, Batch   1242, Loss  0.859635, Average Loss  0.870406, Time  0.365098
2021-09-08 15:52:43.379271 : Epoch  1, Batch   1243, Loss  0.902308, Average Loss  0.870657, Time  0.452772
2021-09-08 15:52:45.028203 : Epoch  1, Batch   1244, Loss  0.870419, Average Loss  0.870742, Time  0.357752
2021-09-08 15:52:46.678751 : Epoch  1, Batch   1245, Loss  0.903669, Average Loss  0.871097, Time  0.356247
2021-09-08 15:52:48.426471 : Epoch  1, Batch   1246, Loss  0.870725, Average Loss  0.871055, Time  0.458336
2021-09-08 15:52:50.084439 : Epoch  1, Batch   1247, Loss  0.867366, Average Loss  0.871096, Time  0.354688
2021-09-08 15:52:51.754993 : Epoch  1, Batch   1248, Loss  0.859913, Average Loss  0.871085, Time  0.357729
2021-09-08 15:52:53.508663 : Epoch  1, Batch   1249, Loss  0.887437, Average Loss  0.871167, Time  0.445911
2021-09-08 15:52:55.220317 : Epoch  1, Batch   1250, Loss  0.819793, Average Loss  0.870818, Time  0.400002
2021-09-08 15:52:56.882867 : Epoch  1, Batch   1251, Loss  0.884968, Average Loss  0.870911, Time  0.355388
2021-09-08 15:52:58.556549 : Epoch  1, Batch   1252, Loss  0.848241, Average Loss  0.870654, Time  0.368831
2021-09-08 15:53:00.304308 : Epoch  1, Batch   1253, Loss  0.893173, Average Loss  0.870675, Time  0.442462
2021-09-08 15:53:01.971884 : Epoch  1, Batch   1254, Loss  0.876033, Average Loss  0.870735, Time  0.355848
2021-09-08 15:53:03.628485 : Epoch  1, Batch   1255, Loss  0.888105, Average Loss  0.870969, Time  0.355374
2021-09-08 15:53:05.375095 : Epoch  1, Batch   1256, Loss  0.886201, Average Loss  0.871048, Time  0.459584
2021-09-08 15:53:07.022307 : Epoch  1, Batch   1257, Loss  0.879815, Average Loss  0.871157, Time  0.355603
2021-09-08 15:53:08.666378 : Epoch  1, Batch   1258, Loss  0.872871, Average Loss  0.871161, Time  0.354749
2021-09-08 15:53:10.411506 : Epoch  1, Batch   1259, Loss  0.858564, Average Loss  0.871229, Time  0.459638
2021-09-08 15:53:12.112520 : Epoch  1, Batch   1260, Loss  0.864287, Average Loss  0.871121, Time  0.410521
2021-09-08 15:53:13.759488 : Epoch  1, Batch   1261, Loss  0.902686, Average Loss  0.871600, Time  0.356133
2021-09-08 15:53:15.408907 : Epoch  1, Batch   1262, Loss  0.889343, Average Loss  0.871630, Time  0.354939
2021-09-08 15:53:17.155280 : Epoch  1, Batch   1263, Loss  0.855615, Average Loss  0.871586, Time  0.455722
2021-09-08 15:53:18.807132 : Epoch  1, Batch   1264, Loss  0.848228, Average Loss  0.871472, Time  0.356345
2021-09-08 15:53:20.453242 : Epoch  1, Batch   1265, Loss  0.851108, Average Loss  0.871328, Time  0.356016
2021-09-08 15:53:22.214134 : Epoch  1, Batch   1266, Loss  0.914962, Average Loss  0.871482, Time  0.460248
2021-09-08 15:53:23.836733 : Epoch  1, Batch   1267, Loss  0.895520, Average Loss  0.871663, Time  0.321246
2021-09-08 15:53:25.475404 : Epoch  1, Batch   1268, Loss  0.853001, Average Loss  0.871825, Time  0.354536
2021-09-08 15:53:27.174921 : Epoch  1, Batch   1269, Loss  0.880606, Average Loss  0.871780, Time  0.408234
2021-09-08 15:53:28.917197 : Epoch  1, Batch   1270, Loss  0.855787, Average Loss  0.871690, Time  0.447456
2021-09-08 15:53:30.571279 : Epoch  1, Batch   1271, Loss  0.835570, Average Loss  0.871608, Time  0.355954
2021-09-08 15:53:32.216535 : Epoch  1, Batch   1272, Loss  0.878123, Average Loss  0.871527, Time  0.354471
2021-09-08 15:53:33.975706 : Epoch  1, Batch   1273, Loss  0.872286, Average Loss  0.871558, Time  0.457766
2021-09-08 15:53:35.624131 : Epoch  1, Batch   1274, Loss  0.861160, Average Loss  0.871494, Time  0.354881
2021-09-08 15:53:37.266851 : Epoch  1, Batch   1275, Loss  0.913148, Average Loss  0.871766, Time  0.357403
2021-09-08 15:53:39.008395 : Epoch  1, Batch   1276, Loss  0.869749, Average Loss  0.871797, Time  0.453988
2021-09-08 15:53:40.707615 : Epoch  1, Batch   1277, Loss  0.870036, Average Loss  0.871702, Time  0.414015
2021-09-08 15:53:42.356665 : Epoch  1, Batch   1278, Loss  0.899187, Average Loss  0.871767, Time  0.356107
2021-09-08 15:53:44.002490 : Epoch  1, Batch   1279, Loss  0.846590, Average Loss  0.871536, Time  0.355901
2021-09-08 15:53:45.764017 : Epoch  1, Batch   1280, Loss  0.880278, Average Loss  0.871747, Time  0.454985
2021-09-08 15:53:47.430729 : Epoch  1, Batch   1281, Loss  0.856277, Average Loss  0.871576, Time  0.357275
2021-09-08 15:53:49.094725 : Epoch  1, Batch   1282, Loss  0.878224, Average Loss  0.871534, Time  0.355792
2021-09-08 15:53:50.868764 : Epoch  1, Batch   1283, Loss  0.835336, Average Loss  0.871438, Time  0.460877
2021-09-08 15:53:52.500167 : Epoch  1, Batch   1284, Loss  0.870427, Average Loss  0.871466, Time  0.324109
2021-09-08 15:53:54.146083 : Epoch  1, Batch   1285, Loss  0.839343, Average Loss  0.871321, Time  0.354488
2021-09-08 15:53:55.871397 : Epoch  1, Batch   1286, Loss  0.858805, Average Loss  0.871298, Time  0.439165
2021-09-08 15:53:57.584670 : Epoch  1, Batch   1287, Loss  0.898293, Average Loss  0.871380, Time  0.418222
2021-09-08 15:53:59.241578 : Epoch  1, Batch   1288, Loss  0.870479, Average Loss  0.871331, Time  0.357572
2021-09-08 15:54:00.880375 : Epoch  1, Batch   1289, Loss  0.862820, Average Loss  0.871390, Time  0.354872
2021-09-08 15:54:02.624731 : Epoch  1, Batch   1290, Loss  0.893184, Average Loss  0.871550, Time  0.455947
2021-09-08 15:54:04.277455 : Epoch  1, Batch   1291, Loss  0.850654, Average Loss  0.871443, Time  0.360121
2021-09-08 15:54:05.918992 : Epoch  1, Batch   1292, Loss  0.860682, Average Loss  0.871577, Time  0.355357
2021-09-08 15:54:07.664591 : Epoch  1, Batch   1293, Loss  0.885119, Average Loss  0.871686, Time  0.459417
2021-09-08 15:54:09.321599 : Epoch  1, Batch   1294, Loss  0.889421, Average Loss  0.871784, Time  0.356652
2021-09-08 15:54:10.976560 : Epoch  1, Batch   1295, Loss  0.867644, Average Loss  0.871722, Time  0.354702
2021-09-08 15:54:12.699561 : Epoch  1, Batch   1296, Loss  0.907389, Average Loss  0.871857, Time  0.433215
2021-09-08 15:54:14.451485 : Epoch  1, Batch   1297, Loss  0.858941, Average Loss  0.871864, Time  0.443223
2021-09-08 15:54:16.110312 : Epoch  1, Batch   1298, Loss  0.878021, Average Loss  0.871739, Time  0.356049
2021-09-08 15:54:17.752090 : Epoch  1, Batch   1299, Loss  0.871713, Average Loss  0.871747, Time  0.356591
2021-09-08 15:54:19.503029 : Epoch  1, Batch   1300, Loss  0.847934, Average Loss  0.871804, Time  0.459727
2021-09-08 15:58:49.491558 : CheckPoint: Validation Loss  0.00060646, Best Loss  0.00058797
2021-09-08 15:58:51.145805 : Epoch  1, Batch   1301, Loss  0.852822, Average Loss  0.871505, Time  0.356721
2021-09-08 15:58:52.812860 : Epoch  1, Batch   1302, Loss  0.896402, Average Loss  0.871635, Time  0.361365
2021-09-08 15:58:54.566778 : Epoch  1, Batch   1303, Loss  0.836545, Average Loss  0.871573, Time  0.459435
2021-09-08 15:58:56.217017 : Epoch  1, Batch   1304, Loss  0.882268, Average Loss  0.871545, Time  0.360780
2021-09-08 15:58:57.894189 : Epoch  1, Batch   1305, Loss  0.885320, Average Loss  0.871502, Time  0.359170
2021-09-08 15:58:59.648142 : Epoch  1, Batch   1306, Loss  0.853436, Average Loss  0.871549, Time  0.442005
2021-09-08 15:59:01.395498 : Epoch  1, Batch   1307, Loss  0.866656, Average Loss  0.871657, Time  0.455823
2021-09-08 15:59:03.059049 : Epoch  1, Batch   1308, Loss  0.861328, Average Loss  0.871610, Time  0.358323
2021-09-08 15:59:04.720924 : Epoch  1, Batch   1309, Loss  0.836906, Average Loss  0.871446, Time  0.354409
2021-09-08 15:59:06.445629 : Epoch  1, Batch   1310, Loss  0.876531, Average Loss  0.871515, Time  0.453261
2021-09-08 15:59:08.193519 : Epoch  1, Batch   1311, Loss  0.867348, Average Loss  0.871554, Time  0.454614
2021-09-08 15:59:09.854982 : Epoch  1, Batch   1312, Loss  0.893249, Average Loss  0.871715, Time  0.358900
2021-09-08 15:59:11.509389 : Epoch  1, Batch   1313, Loss  0.862247, Average Loss  0.871565, Time  0.354628
2021-09-08 15:59:13.249615 : Epoch  1, Batch   1314, Loss  0.866487, Average Loss  0.871560, Time  0.457551
2021-09-08 15:59:14.985365 : Epoch  1, Batch   1315, Loss  0.866322, Average Loss  0.871406, Time  0.453630
2021-09-08 15:59:16.636144 : Epoch  1, Batch   1316, Loss  0.876904, Average Loss  0.871320, Time  0.358119
2021-09-08 15:59:18.292121 : Epoch  1, Batch   1317, Loss  0.842165, Average Loss  0.871143, Time  0.355139
2021-09-08 15:59:20.037556 : Epoch  1, Batch   1318, Loss  0.848749, Average Loss  0.871062, Time  0.456923
2021-09-08 15:59:21.787462 : Epoch  1, Batch   1319, Loss  0.858629, Average Loss  0.870885, Time  0.458252
2021-09-08 15:59:23.438234 : Epoch  1, Batch   1320, Loss  0.828024, Average Loss  0.870584, Time  0.358725
2021-09-08 15:59:25.082510 : Epoch  1, Batch   1321, Loss  0.866470, Average Loss  0.870312, Time  0.356261
2021-09-08 15:59:26.824025 : Epoch  1, Batch   1322, Loss  0.864911, Average Loss  0.870274, Time  0.452464
2021-09-08 15:59:28.571712 : Epoch  1, Batch   1323, Loss  0.892084, Average Loss  0.870354, Time  0.457316
2021-09-08 15:59:30.220347 : Epoch  1, Batch   1324, Loss  0.877420, Average Loss  0.870374, Time  0.357991
2021-09-08 15:59:31.886135 : Epoch  1, Batch   1325, Loss  0.895032, Average Loss  0.870454, Time  0.356884
2021-09-08 15:59:33.640735 : Epoch  1, Batch   1326, Loss  0.879396, Average Loss  0.870335, Time  0.447339
2021-09-08 15:59:35.400478 : Epoch  1, Batch   1327, Loss  0.865703, Average Loss  0.870227, Time  0.457290
2021-09-08 15:59:37.065783 : Epoch  1, Batch   1328, Loss  0.854082, Average Loss  0.870144, Time  0.359502
2021-09-08 15:59:38.728121 : Epoch  1, Batch   1329, Loss  0.925846, Average Loss  0.870459, Time  0.356195
2021-09-08 15:59:40.480812 : Epoch  1, Batch   1330, Loss  0.857647, Average Loss  0.870512, Time  0.455377
2021-09-08 15:59:42.223193 : Epoch  1, Batch   1331, Loss  0.884852, Average Loss  0.870698, Time  0.453831
2021-09-08 15:59:43.864568 : Epoch  1, Batch   1332, Loss  0.873278, Average Loss  0.870742, Time  0.356690
2021-09-08 15:59:45.510139 : Epoch  1, Batch   1333, Loss  0.852677, Average Loss  0.870581, Time  0.355209
2021-09-08 15:59:47.266854 : Epoch  1, Batch   1334, Loss  0.874532, Average Loss  0.870649, Time  0.458849
2021-09-08 15:59:49.007768 : Epoch  1, Batch   1335, Loss  0.865561, Average Loss  0.870593, Time  0.452972
2021-09-08 15:59:50.650815 : Epoch  1, Batch   1336, Loss  0.853933, Average Loss  0.870468, Time  0.358212
2021-09-08 15:59:52.306382 : Epoch  1, Batch   1337, Loss  0.860496, Average Loss  0.870288, Time  0.357128
2021-09-08 15:59:54.066351 : Epoch  1, Batch   1338, Loss  0.869923, Average Loss  0.870243, Time  0.455682
2021-09-08 15:59:55.830862 : Epoch  1, Batch   1339, Loss  0.865157, Average Loss  0.870339, Time  0.456251
2021-09-08 15:59:57.490236 : Epoch  1, Batch   1340, Loss  0.871067, Average Loss  0.870447, Time  0.358223
2021-09-08 15:59:59.147028 : Epoch  1, Batch   1341, Loss  0.864696, Average Loss  0.870414, Time  0.354261
2021-09-08 16:00:00.884661 : Epoch  1, Batch   1342, Loss  0.872190, Average Loss  0.870552, Time  0.450484
2021-09-08 16:00:02.640924 : Epoch  1, Batch   1343, Loss  0.865504, Average Loss  0.870571, Time  0.455095
2021-09-08 16:00:04.279929 : Epoch  1, Batch   1344, Loss  0.879919, Average Loss  0.870469, Time  0.357345
2021-09-08 16:00:05.922129 : Epoch  1, Batch   1345, Loss  0.858858, Average Loss  0.870298, Time  0.355984
2021-09-08 16:00:07.656177 : Epoch  1, Batch   1346, Loss  0.890449, Average Loss  0.870239, Time  0.451910
2021-09-08 16:00:09.400226 : Epoch  1, Batch   1347, Loss  0.867123, Average Loss  0.870360, Time  0.457392
2021-09-08 16:00:11.051139 : Epoch  1, Batch   1348, Loss  0.860640, Average Loss  0.870367, Time  0.358262
2021-09-08 16:00:12.705871 : Epoch  1, Batch   1349, Loss  0.865849, Average Loss  0.870326, Time  0.354220
2021-09-08 16:00:14.446206 : Epoch  1, Batch   1350, Loss  0.853920, Average Loss  0.870280, Time  0.456332
2021-09-08 16:00:16.188918 : Epoch  1, Batch   1351, Loss  0.844611, Average Loss  0.870304, Time  0.458806
2021-09-08 16:00:17.847116 : Epoch  1, Batch   1352, Loss  0.846043, Average Loss  0.870267, Time  0.358408
2021-09-08 16:00:19.509146 : Epoch  1, Batch   1353, Loss  0.863489, Average Loss  0.870231, Time  0.356544
2021-09-08 16:00:21.237461 : Epoch  1, Batch   1354, Loss  0.854577, Average Loss  0.870108, Time  0.445344
2021-09-08 16:00:22.979667 : Epoch  1, Batch   1355, Loss  0.843910, Average Loss  0.870133, Time  0.454490
2021-09-08 16:00:24.630136 : Epoch  1, Batch   1356, Loss  0.871941, Average Loss  0.869999, Time  0.358273
2021-09-08 16:00:26.272830 : Epoch  1, Batch   1357, Loss  0.848311, Average Loss  0.869876, Time  0.353073
2021-09-08 16:00:28.001190 : Epoch  1, Batch   1358, Loss  0.881398, Average Loss  0.870075, Time  0.439169
2021-09-08 16:00:29.741537 : Epoch  1, Batch   1359, Loss  0.891079, Average Loss  0.870163, Time  0.455901
2021-09-08 16:00:31.391046 : Epoch  1, Batch   1360, Loss  0.869508, Average Loss  0.870289, Time  0.359026
2021-09-08 16:00:33.050836 : Epoch  1, Batch   1361, Loss  0.921381, Average Loss  0.870601, Time  0.356091
2021-09-08 16:00:34.786188 : Epoch  1, Batch   1362, Loss  0.868259, Average Loss  0.870647, Time  0.442970
2021-09-08 16:00:36.529271 : Epoch  1, Batch   1363, Loss  0.895167, Average Loss  0.870856, Time  0.454942
2021-09-08 16:00:38.190728 : Epoch  1, Batch   1364, Loss  0.856081, Average Loss  0.870708, Time  0.360430
2021-09-08 16:00:39.854111 : Epoch  1, Batch   1365, Loss  0.878629, Average Loss  0.870762, Time  0.355135
2021-09-08 16:00:41.582066 : Epoch  1, Batch   1366, Loss  0.850444, Average Loss  0.870686, Time  0.439136
2021-09-08 16:00:43.364185 : Epoch  1, Batch   1367, Loss  0.856447, Average Loss  0.870656, Time  0.459407
2021-09-08 16:00:45.030902 : Epoch  1, Batch   1368, Loss  0.885058, Average Loss  0.870673, Time  0.357614
2021-09-08 16:00:46.678380 : Epoch  1, Batch   1369, Loss  0.880613, Average Loss  0.870676, Time  0.356040
2021-09-08 16:00:48.398429 : Epoch  1, Batch   1370, Loss  0.859470, Average Loss  0.870557, Time  0.431840
2021-09-08 16:00:50.144682 : Epoch  1, Batch   1371, Loss  0.891939, Average Loss  0.870688, Time  0.457500
2021-09-08 16:00:51.789135 : Epoch  1, Batch   1372, Loss  0.873300, Average Loss  0.870648, Time  0.356008
2021-09-08 16:00:53.426135 : Epoch  1, Batch   1373, Loss  0.870852, Average Loss  0.870678, Time  0.355925
2021-09-08 16:00:55.161132 : Epoch  1, Batch   1374, Loss  0.911270, Average Loss  0.870976, Time  0.444406
2021-09-08 16:00:56.916647 : Epoch  1, Batch   1375, Loss  0.883693, Average Loss  0.871084, Time  0.461741
2021-09-08 16:00:58.558176 : Epoch  1, Batch   1376, Loss  0.883683, Average Loss  0.871105, Time  0.359715
2021-09-08 16:01:00.195526 : Epoch  1, Batch   1377, Loss  0.863784, Average Loss  0.871029, Time  0.355296
2021-09-08 16:01:01.916028 : Epoch  1, Batch   1378, Loss  0.866038, Average Loss  0.870990, Time  0.435403
2021-09-08 16:01:03.679093 : Epoch  1, Batch   1379, Loss  0.896502, Average Loss  0.871035, Time  0.457349
2021-09-08 16:01:05.343303 : Epoch  1, Batch   1380, Loss  0.821509, Average Loss  0.870859, Time  0.357818
2021-09-08 16:01:06.996132 : Epoch  1, Batch   1381, Loss  0.866870, Average Loss  0.870859, Time  0.356991
2021-09-08 16:01:08.723484 : Epoch  1, Batch   1382, Loss  0.859453, Average Loss  0.870885, Time  0.433884
2021-09-08 16:01:10.356111 : Epoch  1, Batch   1383, Loss  0.857126, Average Loss  0.870713, Time  0.354662
2021-09-08 16:01:11.980824 : Epoch  1, Batch   1384, Loss  0.871620, Average Loss  0.870648, Time  0.354509
2021-09-08 16:01:13.581950 : Epoch  1, Batch   1385, Loss  0.862284, Average Loss  0.870627, Time  0.353970
2021-09-08 16:01:15.222069 : Epoch  1, Batch   1386, Loss  0.874405, Average Loss  0.870655, Time  0.353582
2021-09-08 16:01:16.907776 : Epoch  1, Batch   1387, Loss  0.898119, Average Loss  0.870665, Time  0.420420
2021-09-08 16:01:18.551363 : Epoch  1, Batch   1388, Loss  0.881186, Average Loss  0.870646, Time  0.357064
2021-09-08 16:01:20.199987 : Epoch  1, Batch   1389, Loss  0.877145, Average Loss  0.870741, Time  0.355713
2021-09-08 16:01:21.957657 : Epoch  1, Batch   1390, Loss  0.851241, Average Loss  0.870686, Time  0.464300
2021-09-08 16:01:23.681263 : Epoch  1, Batch   1391, Loss  0.871784, Average Loss  0.870719, Time  0.435237
2021-09-08 16:01:25.329059 : Epoch  1, Batch   1392, Loss  0.863003, Average Loss  0.870676, Time  0.355914
2021-09-08 16:01:26.974965 : Epoch  1, Batch   1393, Loss  0.886494, Average Loss  0.870804, Time  0.356090
2021-09-08 16:01:28.733150 : Epoch  1, Batch   1394, Loss  0.875123, Average Loss  0.870795, Time  0.462482
2021-09-08 16:01:30.473632 : Epoch  1, Batch   1395, Loss  0.844420, Average Loss  0.870545, Time  0.432554
2021-09-08 16:01:32.134318 : Epoch  1, Batch   1396, Loss  0.887992, Average Loss  0.870588, Time  0.356074
2021-09-08 16:01:33.798303 : Epoch  1, Batch   1397, Loss  0.866770, Average Loss  0.870599, Time  0.357167
2021-09-08 16:01:35.556624 : Epoch  1, Batch   1398, Loss  0.869096, Average Loss  0.870456, Time  0.465066
2021-09-08 16:01:37.288645 : Epoch  1, Batch   1399, Loss  0.864035, Average Loss  0.870470, Time  0.443177
2021-09-08 16:01:38.947989 : Epoch  1, Batch   1400, Loss  0.837715, Average Loss  0.870165, Time  0.357747
2021-09-08 16:06:07.321768 : CheckPoint: Validation Loss  0.00059995, Best Loss  0.00058797
2021-09-08 16:06:09.063230 : Epoch  1, Batch   1401, Loss  0.876522, Average Loss  0.870156, Time  0.455950
2021-09-08 16:06:10.811416 : Epoch  1, Batch   1402, Loss  0.875318, Average Loss  0.870180, Time  0.459659
2021-09-08 16:06:12.453283 : Epoch  1, Batch   1403, Loss  0.861752, Average Loss  0.870079, Time  0.357123
2021-09-08 16:06:14.095416 : Epoch  1, Batch   1404, Loss  0.828843, Average Loss  0.869949, Time  0.354551
2021-09-08 16:06:15.807717 : Epoch  1, Batch   1405, Loss  0.847766, Average Loss  0.869793, Time  0.429420
2021-09-08 16:06:17.579448 : Epoch  1, Batch   1406, Loss  0.884372, Average Loss  0.869754, Time  0.459223
2021-09-08 16:06:19.237774 : Epoch  1, Batch   1407, Loss  0.870823, Average Loss  0.869646, Time  0.356695
2021-09-08 16:06:20.883223 : Epoch  1, Batch   1408, Loss  0.885207, Average Loss  0.869607, Time  0.356174
2021-09-08 16:06:22.593017 : Epoch  1, Batch   1409, Loss  0.869707, Average Loss  0.869796, Time  0.427137
2021-09-08 16:06:24.339180 : Epoch  1, Batch   1410, Loss  0.877510, Average Loss  0.869761, Time  0.459498
2021-09-08 16:06:25.992940 : Epoch  1, Batch   1411, Loss  0.877555, Average Loss  0.869853, Time  0.358433
2021-09-08 16:06:27.634530 : Epoch  1, Batch   1412, Loss  0.855146, Average Loss  0.869721, Time  0.356225
2021-09-08 16:06:29.360659 : Epoch  1, Batch   1413, Loss  0.884534, Average Loss  0.869814, Time  0.423002
2021-09-08 16:06:31.127925 : Epoch  1, Batch   1414, Loss  0.870465, Average Loss  0.869811, Time  0.457166
2021-09-08 16:06:32.781401 : Epoch  1, Batch   1415, Loss  0.853386, Average Loss  0.869773, Time  0.357730
2021-09-08 16:06:34.412918 : Epoch  1, Batch   1416, Loss  0.870504, Average Loss  0.869733, Time  0.354856
2021-09-08 16:06:36.127260 : Epoch  1, Batch   1417, Loss  0.885128, Average Loss  0.869815, Time  0.428883
2021-09-08 16:06:37.870831 : Epoch  1, Batch   1418, Loss  0.894169, Average Loss  0.870024, Time  0.458930
2021-09-08 16:06:39.513312 : Epoch  1, Batch   1419, Loss  0.880453, Average Loss  0.870029, Time  0.357332
2021-09-08 16:06:41.169489 : Epoch  1, Batch   1420, Loss  0.854979, Average Loss  0.869816, Time  0.356539
2021-09-08 16:06:42.905452 : Epoch  1, Batch   1421, Loss  0.849154, Average Loss  0.869756, Time  0.430473
2021-09-08 16:06:44.655689 : Epoch  1, Batch   1422, Loss  0.874998, Average Loss  0.869791, Time  0.461307
2021-09-08 16:06:46.303120 : Epoch  1, Batch   1423, Loss  0.865528, Average Loss  0.869814, Time  0.357355
2021-09-08 16:06:47.944673 : Epoch  1, Batch   1424, Loss  0.880389, Average Loss  0.869966, Time  0.356309
2021-09-08 16:06:49.671012 : Epoch  1, Batch   1425, Loss  0.859325, Average Loss  0.870099, Time  0.428231
2021-09-08 16:06:51.456596 : Epoch  1, Batch   1426, Loss  0.847808, Average Loss  0.869971, Time  0.457596
2021-09-08 16:06:53.117415 : Epoch  1, Batch   1427, Loss  0.854021, Average Loss  0.869953, Time  0.357637
2021-09-08 16:06:54.785742 : Epoch  1, Batch   1428, Loss  0.864555, Average Loss  0.870040, Time  0.357830
2021-09-08 16:06:56.522790 : Epoch  1, Batch   1429, Loss  0.853107, Average Loss  0.869905, Time  0.432765
2021-09-08 16:06:58.287341 : Epoch  1, Batch   1430, Loss  0.899363, Average Loss  0.870099, Time  0.458925
2021-09-08 16:06:59.944858 : Epoch  1, Batch   1431, Loss  0.858370, Average Loss  0.869940, Time  0.358675
2021-09-08 16:07:01.593308 : Epoch  1, Batch   1432, Loss  0.880493, Average Loss  0.869813, Time  0.354701
2021-09-08 16:07:03.305593 : Epoch  1, Batch   1433, Loss  0.853506, Average Loss  0.869765, Time  0.425240
2021-09-08 16:07:05.054828 : Epoch  1, Batch   1434, Loss  0.864915, Average Loss  0.869575, Time  0.461250
2021-09-08 16:07:06.714972 : Epoch  1, Batch   1435, Loss  0.875013, Average Loss  0.869759, Time  0.358773
2021-09-08 16:07:08.384005 : Epoch  1, Batch   1436, Loss  0.898194, Average Loss  0.869869, Time  0.357141
2021-09-08 16:07:10.114812 : Epoch  1, Batch   1437, Loss  0.834734, Average Loss  0.869521, Time  0.423351
2021-09-08 16:07:11.878382 : Epoch  1, Batch   1438, Loss  0.872752, Average Loss  0.869571, Time  0.459549
2021-09-08 16:07:13.543751 : Epoch  1, Batch   1439, Loss  0.878864, Average Loss  0.869673, Time  0.357235
2021-09-08 16:07:15.205357 : Epoch  1, Batch   1440, Loss  0.855828, Average Loss  0.869698, Time  0.357318
2021-09-08 16:07:16.937093 : Epoch  1, Batch   1441, Loss  0.862204, Average Loss  0.869584, Time  0.429266
2021-09-08 16:07:18.716236 : Epoch  1, Batch   1442, Loss  0.880034, Average Loss  0.869686, Time  0.457817
2021-09-08 16:07:20.361135 : Epoch  1, Batch   1443, Loss  0.860552, Average Loss  0.869478, Time  0.357815
2021-09-08 16:07:22.009512 : Epoch  1, Batch   1444, Loss  0.871422, Average Loss  0.869483, Time  0.355683
2021-09-08 16:07:23.724210 : Epoch  1, Batch   1445, Loss  0.830160, Average Loss  0.869115, Time  0.426115
2021-09-08 16:07:25.486958 : Epoch  1, Batch   1446, Loss  0.862648, Average Loss  0.869075, Time  0.458280
2021-09-08 16:07:27.127533 : Epoch  1, Batch   1447, Loss  0.875241, Average Loss  0.869114, Time  0.357103
2021-09-08 16:07:28.786772 : Epoch  1, Batch   1448, Loss  0.887653, Average Loss  0.869253, Time  0.355692
2021-09-08 16:07:30.517951 : Epoch  1, Batch   1449, Loss  0.891892, Average Loss  0.869275, Time  0.426470
2021-09-08 16:07:32.283424 : Epoch  1, Batch   1450, Loss  0.945521, Average Loss  0.869904, Time  0.458093
2021-09-08 16:07:33.929095 : Epoch  1, Batch   1451, Loss  0.855440, Average Loss  0.869756, Time  0.358736
2021-09-08 16:07:35.531236 : Epoch  1, Batch   1452, Loss  0.896673, Average Loss  0.869998, Time  0.353273
2021-09-08 16:07:37.211426 : Epoch  1, Batch   1453, Loss  0.882531, Average Loss  0.869945, Time  0.432145
2021-09-08 16:07:38.933254 : Epoch  1, Batch   1454, Loss  0.867173, Average Loss  0.869901, Time  0.462142
2021-09-08 16:07:40.555922 : Epoch  1, Batch   1455, Loss  0.885340, Average Loss  0.869887, Time  0.357702
2021-09-08 16:07:42.197344 : Epoch  1, Batch   1456, Loss  0.866351, Average Loss  0.869788, Time  0.354303
2021-09-08 16:07:43.912938 : Epoch  1, Batch   1457, Loss  0.858700, Average Loss  0.869682, Time  0.429626
2021-09-08 16:07:45.664035 : Epoch  1, Batch   1458, Loss  0.891734, Average Loss  0.869776, Time  0.461099
2021-09-08 16:07:47.322361 : Epoch  1, Batch   1459, Loss  0.866292, Average Loss  0.869815, Time  0.356026
2021-09-08 16:07:48.987419 : Epoch  1, Batch   1460, Loss  0.860640, Average Loss  0.869797, Time  0.356470
2021-09-08 16:07:50.725712 : Epoch  1, Batch   1461, Loss  0.877744, Average Loss  0.869672, Time  0.432899
2021-09-08 16:07:52.501335 : Epoch  1, Batch   1462, Loss  0.883883, Average Loss  0.869645, Time  0.460925
2021-09-08 16:07:54.164087 : Epoch  1, Batch   1463, Loss  0.875399, Average Loss  0.869744, Time  0.356619
2021-09-08 16:07:55.822761 : Epoch  1, Batch   1464, Loss  0.874593, Average Loss  0.869876, Time  0.355263
2021-09-08 16:07:57.552213 : Epoch  1, Batch   1465, Loss  0.854282, Average Loss  0.869891, Time  0.426911
2021-09-08 16:07:59.313766 : Epoch  1, Batch   1466, Loss  0.853447, Average Loss  0.869584, Time  0.458277
2021-09-08 16:08:00.979716 : Epoch  1, Batch   1467, Loss  0.871223, Average Loss  0.869462, Time  0.357563
2021-09-08 16:08:02.646099 : Epoch  1, Batch   1468, Loss  0.876542, Average Loss  0.869580, Time  0.358000
2021-09-08 16:08:04.376766 : Epoch  1, Batch   1469, Loss  0.882228, Average Loss  0.869588, Time  0.427319
2021-09-08 16:08:06.120301 : Epoch  1, Batch   1470, Loss  0.890019, Average Loss  0.869759, Time  0.456998
2021-09-08 16:08:07.760546 : Epoch  1, Batch   1471, Loss  0.848520, Average Loss  0.869824, Time  0.357151
2021-09-08 16:08:09.399665 : Epoch  1, Batch   1472, Loss  0.858254, Average Loss  0.869725, Time  0.355799
2021-09-08 16:08:11.141054 : Epoch  1, Batch   1473, Loss  0.882544, Average Loss  0.869776, Time  0.432605
2021-09-08 16:08:12.901520 : Epoch  1, Batch   1474, Loss  0.855446, Average Loss  0.869748, Time  0.457910
2021-09-08 16:08:14.565446 : Epoch  1, Batch   1475, Loss  0.882374, Average Loss  0.869594, Time  0.357847
2021-09-08 16:08:16.236742 : Epoch  1, Batch   1476, Loss  0.844435, Average Loss  0.869467, Time  0.356318
2021-09-08 16:08:17.979897 : Epoch  1, Batch   1477, Loss  0.877728, Average Loss  0.869506, Time  0.428349
2021-09-08 16:08:19.733007 : Epoch  1, Batch   1478, Loss  0.859060, Average Loss  0.869305, Time  0.460615
2021-09-08 16:08:21.377311 : Epoch  1, Batch   1479, Loss  0.874740, Average Loss  0.869446, Time  0.357181
2021-09-08 16:08:23.023164 : Epoch  1, Batch   1480, Loss  0.877565, Average Loss  0.869432, Time  0.357474
2021-09-08 16:08:24.755128 : Epoch  1, Batch   1481, Loss  0.885976, Average Loss  0.869581, Time  0.430321
2021-09-08 16:08:26.526235 : Epoch  1, Batch   1482, Loss  0.875652, Average Loss  0.869568, Time  0.457209
2021-09-08 16:08:28.186398 : Epoch  1, Batch   1483, Loss  0.889234, Average Loss  0.869837, Time  0.356847
2021-09-08 16:08:29.842155 : Epoch  1, Batch   1484, Loss  0.910338, Average Loss  0.870037, Time  0.355735
2021-09-08 16:08:31.580361 : Epoch  1, Batch   1485, Loss  0.865064, Average Loss  0.870165, Time  0.432864
2021-09-08 16:08:33.325899 : Epoch  1, Batch   1486, Loss  0.848007, Average Loss  0.870111, Time  0.460486
2021-09-08 16:08:34.991249 : Epoch  1, Batch   1487, Loss  0.854957, Average Loss  0.869895, Time  0.358121
2021-09-08 16:08:36.674048 : Epoch  1, Batch   1488, Loss  0.883170, Average Loss  0.869958, Time  0.356909
2021-09-08 16:08:38.390362 : Epoch  1, Batch   1489, Loss  0.877943, Average Loss  0.870034, Time  0.426176
2021-09-08 16:08:40.142312 : Epoch  1, Batch   1490, Loss  0.853596, Average Loss  0.869836, Time  0.459956
2021-09-08 16:08:41.807510 : Epoch  1, Batch   1491, Loss  0.893691, Average Loss  0.870051, Time  0.359557
2021-09-08 16:08:43.465352 : Epoch  1, Batch   1492, Loss  0.899691, Average Loss  0.870246, Time  0.356583
2021-09-08 16:08:45.196004 : Epoch  1, Batch   1493, Loss  0.871614, Average Loss  0.870179, Time  0.429629
2021-09-08 16:08:46.956839 : Epoch  1, Batch   1494, Loss  0.878429, Average Loss  0.870124, Time  0.459070
2021-09-08 16:08:48.622915 : Epoch  1, Batch   1495, Loss  0.880215, Average Loss  0.870186, Time  0.358192
2021-09-08 16:08:50.284175 : Epoch  1, Batch   1496, Loss  0.850300, Average Loss  0.869901, Time  0.355554
2021-09-08 16:08:52.005057 : Epoch  1, Batch   1497, Loss  0.898008, Average Loss  0.870096, Time  0.437342
2021-09-08 16:08:53.765039 : Epoch  1, Batch   1498, Loss  0.849650, Average Loss  0.869954, Time  0.460480
2021-09-08 16:08:55.429933 : Epoch  1, Batch   1499, Loss  0.877342, Average Loss  0.869983, Time  0.356442
2021-09-08 16:08:57.072915 : Epoch  1, Batch   1500, Loss  0.872958, Average Loss  0.870108, Time  0.356000
2021-09-08 16:13:28.104581 : CheckPoint: Validation Loss  0.00061141, Best Loss  0.00058797
2021-09-08 16:13:29.755020 : Epoch  1, Batch   1501, Loss  0.870200, Average Loss  0.870195, Time  0.357800
2021-09-08 16:13:31.534720 : Epoch  1, Batch   1502, Loss  0.866904, Average Loss  0.870047, Time  0.463635
2021-09-08 16:13:33.272686 : Epoch  1, Batch   1503, Loss  0.867962, Average Loss  0.870204, Time  0.418479
2021-09-08 16:13:34.939315 : Epoch  1, Batch   1504, Loss  0.879468, Average Loss  0.870190, Time  0.357087
2021-09-08 16:13:36.592676 : Epoch  1, Batch   1505, Loss  0.855242, Average Loss  0.870040, Time  0.356507
2021-09-08 16:13:38.352515 : Epoch  1, Batch   1506, Loss  0.844241, Average Loss  0.869994, Time  0.457271
2021-09-08 16:13:40.120541 : Epoch  1, Batch   1507, Loss  0.851025, Average Loss  0.869916, Time  0.455560
2021-09-08 16:13:41.780064 : Epoch  1, Batch   1508, Loss  0.859418, Average Loss  0.869906, Time  0.358005
2021-09-08 16:13:43.435012 : Epoch  1, Batch   1509, Loss  0.865826, Average Loss  0.870051, Time  0.355894
2021-09-08 16:13:45.164978 : Epoch  1, Batch   1510, Loss  0.841547, Average Loss  0.869876, Time  0.427864
2021-09-08 16:13:46.924658 : Epoch  1, Batch   1511, Loss  0.862511, Average Loss  0.869852, Time  0.458379
2021-09-08 16:13:48.576077 : Epoch  1, Batch   1512, Loss  0.872482, Average Loss  0.869748, Time  0.354803
2021-09-08 16:13:50.236152 : Epoch  1, Batch   1513, Loss  0.872062, Average Loss  0.869797, Time  0.355008
2021-09-08 16:13:51.954111 : Epoch  1, Batch   1514, Loss  0.852615, Average Loss  0.869728, Time  0.420384
2021-09-08 16:13:53.722805 : Epoch  1, Batch   1515, Loss  0.856767, Average Loss  0.869680, Time  0.460896
2021-09-08 16:13:55.372478 : Epoch  1, Batch   1516, Loss  0.873566, Average Loss  0.869663, Time  0.353390
2021-09-08 16:13:57.021020 : Epoch  1, Batch   1517, Loss  0.845401, Average Loss  0.869679, Time  0.354664
2021-09-08 16:13:58.748066 : Epoch  1, Batch   1518, Loss  0.873826, Average Loss  0.869805, Time  0.431943
2021-09-08 16:14:00.511004 : Epoch  1, Batch   1519, Loss  0.873467, Average Loss  0.869879, Time  0.459013
2021-09-08 16:14:02.167541 : Epoch  1, Batch   1520, Loss  0.830239, Average Loss  0.869890, Time  0.356391
2021-09-08 16:14:03.824684 : Epoch  1, Batch   1521, Loss  0.863667, Average Loss  0.869876, Time  0.355293
2021-09-08 16:14:05.541151 : Epoch  1, Batch   1522, Loss  0.882088, Average Loss  0.869962, Time  0.422248
2021-09-08 16:14:07.301169 : Epoch  1, Batch   1523, Loss  0.915734, Average Loss  0.870080, Time  0.461098
2021-09-08 16:14:08.951274 : Epoch  1, Batch   1524, Loss  0.876246, Average Loss  0.870074, Time  0.355355
2021-09-08 16:14:10.599218 : Epoch  1, Batch   1525, Loss  0.852761, Average Loss  0.869863, Time  0.354229
2021-09-08 16:14:12.313746 : Epoch  1, Batch   1526, Loss  0.861029, Average Loss  0.869771, Time  0.417067
2021-09-08 16:14:14.066725 : Epoch  1, Batch   1527, Loss  0.828089, Average Loss  0.869583, Time  0.459114
2021-09-08 16:14:15.718642 : Epoch  1, Batch   1528, Loss  0.874555, Average Loss  0.869685, Time  0.355656
2021-09-08 16:14:17.368058 : Epoch  1, Batch   1529, Loss  0.884274, Average Loss  0.869477, Time  0.355432
2021-09-08 16:14:19.083688 : Epoch  1, Batch   1530, Loss  0.869149, Average Loss  0.869535, Time  0.421449
2021-09-08 16:14:20.836075 : Epoch  1, Batch   1531, Loss  0.852037, Average Loss  0.869371, Time  0.457944
2021-09-08 16:14:22.484526 : Epoch  1, Batch   1532, Loss  0.863407, Average Loss  0.869321, Time  0.355348
2021-09-08 16:14:24.142481 : Epoch  1, Batch   1533, Loss  0.883350, Average Loss  0.869475, Time  0.355193
2021-09-08 16:14:25.873052 : Epoch  1, Batch   1534, Loss  0.869161, Average Loss  0.869448, Time  0.424416
2021-09-08 16:14:27.628438 : Epoch  1, Batch   1535, Loss  0.849590, Average Loss  0.869368, Time  0.458456
2021-09-08 16:14:29.275368 : Epoch  1, Batch   1536, Loss  0.841353, Average Loss  0.869305, Time  0.356140
2021-09-08 16:14:30.924628 : Epoch  1, Batch   1537, Loss  0.888402, Average Loss  0.869445, Time  0.354257
2021-09-08 16:14:32.641128 : Epoch  1, Batch   1538, Loss  0.846001, Average Loss  0.869325, Time  0.421163
2021-09-08 16:14:34.408805 : Epoch  1, Batch   1539, Loss  0.853549, Average Loss  0.869267, Time  0.461298
2021-09-08 16:14:36.081461 : Epoch  1, Batch   1540, Loss  0.858360, Average Loss  0.869204, Time  0.355467
2021-09-08 16:14:37.739652 : Epoch  1, Batch   1541, Loss  0.885669, Average Loss  0.869308, Time  0.352689
2021-09-08 16:14:39.453406 : Epoch  1, Batch   1542, Loss  0.855599, Average Loss  0.869225, Time  0.417523
2021-09-08 16:14:41.232634 : Epoch  1, Batch   1543, Loss  0.877626, Average Loss  0.869286, Time  0.458465
2021-09-08 16:14:42.899570 : Epoch  1, Batch   1544, Loss  0.875418, Average Loss  0.869264, Time  0.356393
2021-09-08 16:14:44.561565 : Epoch  1, Batch   1545, Loss  0.844399, Average Loss  0.869191, Time  0.355434
2021-09-08 16:14:46.285717 : Epoch  1, Batch   1546, Loss  0.875749, Average Loss  0.869118, Time  0.418488
2021-09-08 16:14:48.039224 : Epoch  1, Batch   1547, Loss  0.863128, Average Loss  0.869098, Time  0.459312
2021-09-08 16:14:49.694297 : Epoch  1, Batch   1548, Loss  0.880548, Average Loss  0.869197, Time  0.357102
2021-09-08 16:14:51.350799 : Epoch  1, Batch   1549, Loss  0.854062, Average Loss  0.869138, Time  0.354938
2021-09-08 16:14:53.065659 : Epoch  1, Batch   1550, Loss  0.850963, Average Loss  0.869124, Time  0.426936
2021-09-08 16:14:54.822252 : Epoch  1, Batch   1551, Loss  0.917419, Average Loss  0.869488, Time  0.461385
2021-09-08 16:14:56.467535 : Epoch  1, Batch   1552, Loss  0.848172, Average Loss  0.869498, Time  0.354264
2021-09-08 16:14:58.116626 : Epoch  1, Batch   1553, Loss  0.889797, Average Loss  0.869630, Time  0.354498
2021-09-08 16:14:59.831431 : Epoch  1, Batch   1554, Loss  0.888919, Average Loss  0.869802, Time  0.419415
2021-09-08 16:15:01.598363 : Epoch  1, Batch   1555, Loss  0.872467, Average Loss  0.869944, Time  0.465072
2021-09-08 16:15:03.258682 : Epoch  1, Batch   1556, Loss  0.819875, Average Loss  0.869684, Time  0.355623
2021-09-08 16:15:04.922318 : Epoch  1, Batch   1557, Loss  0.842862, Average Loss  0.869657, Time  0.356502
2021-09-08 16:15:06.644815 : Epoch  1, Batch   1558, Loss  0.856051, Average Loss  0.869530, Time  0.416020
2021-09-08 16:15:08.408959 : Epoch  1, Batch   1559, Loss  0.838096, Average Loss  0.869265, Time  0.460578
2021-09-08 16:15:10.055046 : Epoch  1, Batch   1560, Loss  0.874151, Average Loss  0.869288, Time  0.354722
2021-09-08 16:15:11.726187 : Epoch  1, Batch   1561, Loss  0.875689, Average Loss  0.869060, Time  0.356415
2021-09-08 16:15:13.459207 : Epoch  1, Batch   1562, Loss  0.899136, Average Loss  0.869214, Time  0.416669
2021-09-08 16:15:15.216999 : Epoch  1, Batch   1563, Loss  0.865952, Average Loss  0.869068, Time  0.459115
2021-09-08 16:15:16.868609 : Epoch  1, Batch   1564, Loss  0.858238, Average Loss  0.869079, Time  0.354895
2021-09-08 16:15:18.512555 : Epoch  1, Batch   1565, Loss  0.842874, Average Loss  0.868900, Time  0.354741
2021-09-08 16:15:20.222679 : Epoch  1, Batch   1566, Loss  0.863346, Average Loss  0.868965, Time  0.419884
2021-09-08 16:15:21.975317 : Epoch  1, Batch   1567, Loss  0.822572, Average Loss  0.868795, Time  0.459430
2021-09-08 16:15:23.634862 : Epoch  1, Batch   1568, Loss  0.887362, Average Loss  0.868807, Time  0.357118
2021-09-08 16:15:25.307035 : Epoch  1, Batch   1569, Loss  0.852774, Average Loss  0.868668, Time  0.356682
2021-09-08 16:15:27.084943 : Epoch  1, Batch   1570, Loss  0.901344, Average Loss  0.868877, Time  0.406863
2021-09-08 16:15:28.851814 : Epoch  1, Batch   1571, Loss  0.863242, Average Loss  0.868734, Time  0.456794
2021-09-08 16:15:30.504182 : Epoch  1, Batch   1572, Loss  0.853533, Average Loss  0.868635, Time  0.355750
2021-09-08 16:15:32.159046 : Epoch  1, Batch   1573, Loss  0.846588, Average Loss  0.868513, Time  0.354182
2021-09-08 16:15:33.868541 : Epoch  1, Batch   1574, Loss  0.868556, Average Loss  0.868300, Time  0.419772
2021-09-08 16:15:35.629282 : Epoch  1, Batch   1575, Loss  0.879125, Average Loss  0.868277, Time  0.462533
2021-09-08 16:15:37.281897 : Epoch  1, Batch   1576, Loss  0.862909, Average Loss  0.868173, Time  0.356548
2021-09-08 16:15:38.929265 : Epoch  1, Batch   1577, Loss  0.892360, Average Loss  0.868316, Time  0.353275
2021-09-08 16:15:40.641824 : Epoch  1, Batch   1578, Loss  0.872312, Average Loss  0.868347, Time  0.411026
2021-09-08 16:15:42.411118 : Epoch  1, Batch   1579, Loss  0.857146, Average Loss  0.868151, Time  0.458083
2021-09-08 16:15:44.060084 : Epoch  1, Batch   1580, Loss  0.871297, Average Loss  0.868400, Time  0.355258
2021-09-08 16:15:45.720251 : Epoch  1, Batch   1581, Loss  0.837647, Average Loss  0.868253, Time  0.354690
2021-09-08 16:15:47.425580 : Epoch  1, Batch   1582, Loss  0.856668, Average Loss  0.868239, Time  0.410566
2021-09-08 16:15:49.182666 : Epoch  1, Batch   1583, Loss  0.853323, Average Loss  0.868220, Time  0.463896
2021-09-08 16:15:50.833517 : Epoch  1, Batch   1584, Loss  0.867318, Average Loss  0.868199, Time  0.356133
2021-09-08 16:15:52.478852 : Epoch  1, Batch   1585, Loss  0.846894, Average Loss  0.868122, Time  0.354721
2021-09-08 16:15:54.180629 : Epoch  1, Batch   1586, Loss  0.883680, Average Loss  0.868168, Time  0.405754
2021-09-08 16:15:55.935258 : Epoch  1, Batch   1587, Loss  0.884407, Average Loss  0.868100, Time  0.461589
2021-09-08 16:15:57.583073 : Epoch  1, Batch   1588, Loss  0.827099, Average Loss  0.867829, Time  0.354199
2021-09-08 16:15:59.236525 : Epoch  1, Batch   1589, Loss  0.881447, Average Loss  0.867851, Time  0.354567
2021-09-08 16:16:00.923138 : Epoch  1, Batch   1590, Loss  0.887381, Average Loss  0.868032, Time  0.396687
2021-09-08 16:16:02.696542 : Epoch  1, Batch   1591, Loss  0.865299, Average Loss  0.867999, Time  0.462739
2021-09-08 16:16:04.367471 : Epoch  1, Batch   1592, Loss  0.868249, Average Loss  0.868025, Time  0.355294
2021-09-08 16:16:06.048198 : Epoch  1, Batch   1593, Loss  0.841794, Average Loss  0.867802, Time  0.356156
2021-09-08 16:16:07.732839 : Epoch  1, Batch   1594, Loss  0.896643, Average Loss  0.867910, Time  0.381995
2021-09-08 16:16:09.491714 : Epoch  1, Batch   1595, Loss  0.820890, Average Loss  0.867792, Time  0.464730
2021-09-08 16:16:11.160273 : Epoch  1, Batch   1596, Loss  0.861200, Average Loss  0.867658, Time  0.354339
2021-09-08 16:16:12.818408 : Epoch  1, Batch   1597, Loss  0.892635, Average Loss  0.867787, Time  0.354632
2021-09-08 16:16:14.502314 : Epoch  1, Batch   1598, Loss  0.886731, Average Loss  0.867875, Time  0.398674
2021-09-08 16:16:16.259376 : Epoch  1, Batch   1599, Loss  0.865703, Average Loss  0.867884, Time  0.463005
2021-09-08 16:16:17.910511 : Epoch  1, Batch   1600, Loss  0.885258, Average Loss  0.868121, Time  0.353315
2021-09-08 16:20:48.171638 : CheckPoint: Validation Loss  0.00061221, Best Loss  0.00058797
2021-09-08 16:20:49.771182 : Epoch  1, Batch   1601, Loss  0.873709, Average Loss  0.868107, Time  0.354811
2021-09-08 16:20:51.375097 : Epoch  1, Batch   1602, Loss  0.862555, Average Loss  0.868044, Time  0.355171
2021-09-08 16:20:53.043874 : Epoch  1, Batch   1603, Loss  0.837806, Average Loss  0.867924, Time  0.399524
2021-09-08 16:20:54.776075 : Epoch  1, Batch   1604, Loss  0.845792, Average Loss  0.868009, Time  0.467487
2021-09-08 16:20:56.392310 : Epoch  1, Batch   1605, Loss  0.846099, Average Loss  0.868000, Time  0.353336
2021-09-08 16:20:57.997083 : Epoch  1, Batch   1606, Loss  0.871879, Average Loss  0.867938, Time  0.352086
2021-09-08 16:20:59.644940 : Epoch  1, Batch   1607, Loss  0.872045, Average Loss  0.867944, Time  0.397965
2021-09-08 16:21:01.361031 : Epoch  1, Batch   1608, Loss  0.889841, Average Loss  0.867967, Time  0.469336
2021-09-08 16:21:02.974183 : Epoch  1, Batch   1609, Loss  0.868065, Average Loss  0.867959, Time  0.353737
2021-09-08 16:21:04.577247 : Epoch  1, Batch   1610, Loss  0.933579, Average Loss  0.868239, Time  0.353857
2021-09-08 16:21:06.263196 : Epoch  1, Batch   1611, Loss  0.899658, Average Loss  0.868350, Time  0.390700
2021-09-08 16:21:08.022203 : Epoch  1, Batch   1612, Loss  0.845118, Average Loss  0.868300, Time  0.464732
2021-09-08 16:21:09.696107 : Epoch  1, Batch   1613, Loss  0.862159, Average Loss  0.868188, Time  0.355208
2021-09-08 16:21:11.359123 : Epoch  1, Batch   1614, Loss  0.867924, Average Loss  0.868175, Time  0.355394
2021-09-08 16:21:13.061143 : Epoch  1, Batch   1615, Loss  0.886505, Average Loss  0.868341, Time  0.396492
2021-09-08 16:21:14.834925 : Epoch  1, Batch   1616, Loss  0.872868, Average Loss  0.868352, Time  0.464193
2021-09-08 16:21:16.503948 : Epoch  1, Batch   1617, Loss  0.912543, Average Loss  0.868489, Time  0.356003
2021-09-08 16:21:18.159908 : Epoch  1, Batch   1618, Loss  0.889003, Average Loss  0.868464, Time  0.353461
2021-09-08 16:21:19.844524 : Epoch  1, Batch   1619, Loss  0.872781, Average Loss  0.868425, Time  0.395920
2021-09-08 16:21:21.602489 : Epoch  1, Batch   1620, Loss  0.854094, Average Loss  0.868421, Time  0.461715
2021-09-08 16:21:23.273084 : Epoch  1, Batch   1621, Loss  0.839347, Average Loss  0.868372, Time  0.355887
2021-09-08 16:21:24.934490 : Epoch  1, Batch   1622, Loss  0.870610, Average Loss  0.868350, Time  0.354541
2021-09-08 16:21:26.623239 : Epoch  1, Batch   1623, Loss  0.904560, Average Loss  0.868545, Time  0.389863
2021-09-08 16:21:28.370565 : Epoch  1, Batch   1624, Loss  0.875988, Average Loss  0.868523, Time  0.462904
2021-09-08 16:21:30.020949 : Epoch  1, Batch   1625, Loss  0.856337, Average Loss  0.868508, Time  0.353342
2021-09-08 16:21:31.668778 : Epoch  1, Batch   1626, Loss  0.861437, Average Loss  0.868576, Time  0.354893
2021-09-08 16:21:33.366469 : Epoch  1, Batch   1627, Loss  0.860883, Average Loss  0.868611, Time  0.389902
2021-09-08 16:21:35.144241 : Epoch  1, Batch   1628, Loss  0.866126, Average Loss  0.868618, Time  0.462445
2021-09-08 16:21:36.798678 : Epoch  1, Batch   1629, Loss  0.868380, Average Loss  0.868695, Time  0.355314
2021-09-08 16:21:38.458657 : Epoch  1, Batch   1630, Loss  0.899826, Average Loss  0.868697, Time  0.355103
2021-09-08 16:21:40.157284 : Epoch  1, Batch   1631, Loss  0.882244, Average Loss  0.868816, Time  0.394788
2021-09-08 16:21:41.912749 : Epoch  1, Batch   1632, Loss  0.877009, Average Loss  0.868799, Time  0.464222
2021-09-08 16:21:43.566964 : Epoch  1, Batch   1633, Loss  0.880016, Average Loss  0.868932, Time  0.354537
2021-09-08 16:21:45.212141 : Epoch  1, Batch   1634, Loss  0.876608, Average Loss  0.868990, Time  0.353860
2021-09-08 16:21:46.897930 : Epoch  1, Batch   1635, Loss  0.875522, Average Loss  0.868993, Time  0.390623
2021-09-08 16:21:48.666676 : Epoch  1, Batch   1636, Loss  0.868056, Average Loss  0.868842, Time  0.462602
2021-09-08 16:21:50.330131 : Epoch  1, Batch   1637, Loss  0.878384, Average Loss  0.869060, Time  0.353278
2021-09-08 16:21:51.998671 : Epoch  1, Batch   1638, Loss  0.879525, Average Loss  0.869094, Time  0.355240
2021-09-08 16:21:53.701143 : Epoch  1, Batch   1639, Loss  0.860611, Average Loss  0.869003, Time  0.392156
2021-09-08 16:21:55.475724 : Epoch  1, Batch   1640, Loss  0.853454, Average Loss  0.868991, Time  0.461995
2021-09-08 16:21:57.144400 : Epoch  1, Batch   1641, Loss  0.837551, Average Loss  0.868868, Time  0.355462
2021-09-08 16:21:58.810738 : Epoch  1, Batch   1642, Loss  0.865399, Average Loss  0.868794, Time  0.356499
2021-09-08 16:22:00.512513 : Epoch  1, Batch   1643, Loss  0.852514, Average Loss  0.868754, Time  0.391147
2021-09-08 16:22:02.285928 : Epoch  1, Batch   1644, Loss  0.869563, Average Loss  0.868745, Time  0.461273
2021-09-08 16:22:03.957709 : Epoch  1, Batch   1645, Loss  0.898826, Average Loss  0.869088, Time  0.353699
2021-09-08 16:22:05.615865 : Epoch  1, Batch   1646, Loss  0.869559, Average Loss  0.869123, Time  0.352618
2021-09-08 16:22:07.302494 : Epoch  1, Batch   1647, Loss  0.883118, Average Loss  0.869162, Time  0.399812
2021-09-08 16:22:09.059640 : Epoch  1, Batch   1648, Loss  0.847651, Average Loss  0.868962, Time  0.461073
2021-09-08 16:22:10.712398 : Epoch  1, Batch   1649, Loss  0.891302, Average Loss  0.868959, Time  0.355202
2021-09-08 16:22:12.362542 : Epoch  1, Batch   1650, Loss  0.848924, Average Loss  0.868476, Time  0.354646
2021-09-08 16:22:14.052086 : Epoch  1, Batch   1651, Loss  0.839343, Average Loss  0.868396, Time  0.397880
2021-09-08 16:22:15.811644 : Epoch  1, Batch   1652, Loss  0.856748, Average Loss  0.868196, Time  0.464415
2021-09-08 16:22:17.457688 : Epoch  1, Batch   1653, Loss  0.881392, Average Loss  0.868190, Time  0.355250
2021-09-08 16:22:19.126305 : Epoch  1, Batch   1654, Loss  0.867153, Average Loss  0.868190, Time  0.355688
2021-09-08 16:22:20.823792 : Epoch  1, Batch   1655, Loss  0.906000, Average Loss  0.868294, Time  0.388446
2021-09-08 16:22:22.596082 : Epoch  1, Batch   1656, Loss  0.855053, Average Loss  0.868237, Time  0.463006
2021-09-08 16:22:24.258036 : Epoch  1, Batch   1657, Loss  0.851483, Average Loss  0.868201, Time  0.354753
2021-09-08 16:22:25.913763 : Epoch  1, Batch   1658, Loss  0.828308, Average Loss  0.867884, Time  0.354970
2021-09-08 16:22:27.595499 : Epoch  1, Batch   1659, Loss  0.864149, Average Loss  0.867873, Time  0.393262
2021-09-08 16:22:29.346308 : Epoch  1, Batch   1660, Loss  0.849424, Average Loss  0.867817, Time  0.462517
2021-09-08 16:22:31.016559 : Epoch  1, Batch   1661, Loss  0.842763, Average Loss  0.867642, Time  0.355592
2021-09-08 16:22:32.681947 : Epoch  1, Batch   1662, Loss  0.869853, Average Loss  0.867572, Time  0.355250
2021-09-08 16:22:34.375432 : Epoch  1, Batch   1663, Loss  0.878091, Average Loss  0.867586, Time  0.384488
2021-09-08 16:22:36.144997 : Epoch  1, Batch   1664, Loss  0.840242, Average Loss  0.867414, Time  0.465297
2021-09-08 16:22:37.805120 : Epoch  1, Batch   1665, Loss  0.844008, Average Loss  0.867362, Time  0.354722
2021-09-08 16:22:39.468798 : Epoch  1, Batch   1666, Loss  0.860852, Average Loss  0.867399, Time  0.355122
2021-09-08 16:22:41.170715 : Epoch  1, Batch   1667, Loss  0.875667, Average Loss  0.867422, Time  0.388260
2021-09-08 16:22:42.965442 : Epoch  1, Batch   1668, Loss  0.852460, Average Loss  0.867301, Time  0.464066
2021-09-08 16:22:44.628913 : Epoch  1, Batch   1669, Loss  0.809071, Average Loss  0.866936, Time  0.356130
2021-09-08 16:22:46.283256 : Epoch  1, Batch   1670, Loss  0.846052, Average Loss  0.866716, Time  0.353562
2021-09-08 16:22:47.961936 : Epoch  1, Batch   1671, Loss  0.840260, Average Loss  0.866674, Time  0.386915
2021-09-08 16:22:49.734115 : Epoch  1, Batch   1672, Loss  0.866392, Average Loss  0.866715, Time  0.462174
2021-09-08 16:22:51.382498 : Epoch  1, Batch   1673, Loss  0.862571, Average Loss  0.866615, Time  0.354740
2021-09-08 16:22:53.033549 : Epoch  1, Batch   1674, Loss  0.871819, Average Loss  0.866697, Time  0.355622
2021-09-08 16:22:54.715071 : Epoch  1, Batch   1675, Loss  0.876877, Average Loss  0.866670, Time  0.393635
2021-09-08 16:22:56.471057 : Epoch  1, Batch   1676, Loss  0.895351, Average Loss  0.866924, Time  0.464724
2021-09-08 16:22:58.115483 : Epoch  1, Batch   1677, Loss  0.877509, Average Loss  0.866923, Time  0.354605
2021-09-08 16:22:59.766762 : Epoch  1, Batch   1678, Loss  0.844652, Average Loss  0.866851, Time  0.355427
2021-09-08 16:23:01.448590 : Epoch  1, Batch   1679, Loss  0.875001, Average Loss  0.866852, Time  0.387316
2021-09-08 16:23:03.221964 : Epoch  1, Batch   1680, Loss  0.909555, Average Loss  0.867012, Time  0.463619
2021-09-08 16:23:04.870234 : Epoch  1, Batch   1681, Loss  0.874646, Average Loss  0.866956, Time  0.354441
2021-09-08 16:23:06.515501 : Epoch  1, Batch   1682, Loss  0.855634, Average Loss  0.866856, Time  0.354827
2021-09-08 16:23:08.211708 : Epoch  1, Batch   1683, Loss  0.839696, Average Loss  0.866608, Time  0.392640
2021-09-08 16:23:09.978825 : Epoch  1, Batch   1684, Loss  0.879137, Average Loss  0.866452, Time  0.464347
2021-09-08 16:23:11.622964 : Epoch  1, Batch   1685, Loss  0.854592, Average Loss  0.866399, Time  0.354008
2021-09-08 16:23:13.274615 : Epoch  1, Batch   1686, Loss  0.891049, Average Loss  0.866615, Time  0.353487
2021-09-08 16:23:14.955476 : Epoch  1, Batch   1687, Loss  0.876683, Average Loss  0.866723, Time  0.393678
2021-09-08 16:23:16.709163 : Epoch  1, Batch   1688, Loss  0.855250, Average Loss  0.866584, Time  0.465256
2021-09-08 16:23:18.366650 : Epoch  1, Batch   1689, Loss  0.823711, Average Loss  0.866313, Time  0.354860
2021-09-08 16:23:20.035470 : Epoch  1, Batch   1690, Loss  0.863844, Average Loss  0.866364, Time  0.354628
2021-09-08 16:23:21.727753 : Epoch  1, Batch   1691, Loss  0.860491, Average Loss  0.866198, Time  0.390050
2021-09-08 16:23:23.480273 : Epoch  1, Batch   1692, Loss  0.869243, Average Loss  0.866046, Time  0.465329
2021-09-08 16:23:25.126450 : Epoch  1, Batch   1693, Loss  0.874393, Average Loss  0.866059, Time  0.354141
2021-09-08 16:23:26.790320 : Epoch  1, Batch   1694, Loss  0.871486, Average Loss  0.866025, Time  0.354108
2021-09-08 16:23:28.497874 : Epoch  1, Batch   1695, Loss  0.851036, Average Loss  0.865879, Time  0.394397
2021-09-08 16:23:30.275422 : Epoch  1, Batch   1696, Loss  0.859212, Average Loss  0.865923, Time  0.463471
2021-09-08 16:23:31.942819 : Epoch  1, Batch   1697, Loss  0.871886, Average Loss  0.865793, Time  0.355854
2021-09-08 16:23:33.605930 : Epoch  1, Batch   1698, Loss  0.917977, Average Loss  0.866134, Time  0.353613
2021-09-08 16:23:35.287924 : Epoch  1, Batch   1699, Loss  0.881724, Average Loss  0.866156, Time  0.394059
2021-09-08 16:23:37.062310 : Epoch  1, Batch   1700, Loss  0.869494, Average Loss  0.866139, Time  0.461629
2021-09-08 16:28:08.527552 : CheckPoint: Validation Loss  0.00061034, Best Loss  0.00058797
2021-09-08 16:28:10.183190 : Epoch  1, Batch   1701, Loss  0.883272, Average Loss  0.866204, Time  0.355967
2021-09-08 16:28:11.831739 : Epoch  1, Batch   1702, Loss  0.867324, Average Loss  0.866206, Time  0.353683
2021-09-08 16:28:13.521319 : Epoch  1, Batch   1703, Loss  0.875030, Average Loss  0.866242, Time  0.393316
2021-09-08 16:28:15.299415 : Epoch  1, Batch   1704, Loss  0.890725, Average Loss  0.866298, Time  0.463335
2021-09-08 16:28:16.958463 : Epoch  1, Batch   1705, Loss  0.860844, Average Loss  0.866326, Time  0.354783
2021-09-08 16:28:18.621219 : Epoch  1, Batch   1706, Loss  0.863156, Average Loss  0.866421, Time  0.356016
2021-09-08 16:28:20.313669 : Epoch  1, Batch   1707, Loss  0.875339, Average Loss  0.866542, Time  0.377943
2021-09-08 16:28:22.106284 : Epoch  1, Batch   1708, Loss  0.853563, Average Loss  0.866513, Time  0.464989
2021-09-08 16:28:23.778277 : Epoch  1, Batch   1709, Loss  0.891288, Average Loss  0.866640, Time  0.354528
2021-09-08 16:28:25.430133 : Epoch  1, Batch   1710, Loss  0.863055, Average Loss  0.866748, Time  0.354059
2021-09-08 16:28:27.102227 : Epoch  1, Batch   1711, Loss  0.870057, Average Loss  0.866786, Time  0.377044
2021-09-08 16:28:28.878039 : Epoch  1, Batch   1712, Loss  0.890489, Average Loss  0.866876, Time  0.461683
2021-09-08 16:28:30.542137 : Epoch  1, Batch   1713, Loss  0.870423, Average Loss  0.866867, Time  0.357964
2021-09-08 16:28:32.211965 : Epoch  1, Batch   1714, Loss  0.867692, Average Loss  0.866943, Time  0.356152
2021-09-08 16:28:33.907505 : Epoch  1, Batch   1715, Loss  0.867097, Average Loss  0.866994, Time  0.376849
2021-09-08 16:28:35.689616 : Epoch  1, Batch   1716, Loss  0.878317, Average Loss  0.867018, Time  0.466412
2021-09-08 16:28:37.297439 : Epoch  1, Batch   1717, Loss  0.865467, Average Loss  0.867118, Time  0.348572
2021-09-08 16:28:38.905199 : Epoch  1, Batch   1718, Loss  0.890787, Average Loss  0.867203, Time  0.354563
2021-09-08 16:28:40.545388 : Epoch  1, Batch   1719, Loss  0.866979, Average Loss  0.867171, Time  0.372900
2021-09-08 16:28:42.287906 : Epoch  1, Batch   1720, Loss  0.859773, Average Loss  0.867319, Time  0.462350
2021-09-08 16:28:43.953452 : Epoch  1, Batch   1721, Loss  0.889352, Average Loss  0.867447, Time  0.355990
2021-09-08 16:28:45.617813 : Epoch  1, Batch   1722, Loss  0.863089, Average Loss  0.867352, Time  0.355735
2021-09-08 16:28:47.304934 : Epoch  1, Batch   1723, Loss  0.869299, Average Loss  0.867120, Time  0.387542
2021-09-08 16:28:49.064698 : Epoch  1, Batch   1724, Loss  0.869087, Average Loss  0.867084, Time  0.464158
2021-09-08 16:28:50.718798 : Epoch  1, Batch   1725, Loss  0.859133, Average Loss  0.867116, Time  0.354698
2021-09-08 16:28:52.367382 : Epoch  1, Batch   1726, Loss  0.864481, Average Loss  0.867133, Time  0.353752
2021-09-08 16:28:54.044130 : Epoch  1, Batch   1727, Loss  0.852055, Average Loss  0.867253, Time  0.386527
2021-09-08 16:28:55.816595 : Epoch  1, Batch   1728, Loss  0.837589, Average Loss  0.867068, Time  0.462429
2021-09-08 16:28:57.494449 : Epoch  1, Batch   1729, Loss  0.895374, Average Loss  0.867124, Time  0.355264
2021-09-08 16:28:59.150557 : Epoch  1, Batch   1730, Loss  0.857376, Average Loss  0.867065, Time  0.353129
2021-09-08 16:29:00.833264 : Epoch  1, Batch   1731, Loss  0.875996, Average Loss  0.867185, Time  0.383494
2021-09-08 16:29:02.596677 : Epoch  1, Batch   1732, Loss  0.891911, Average Loss  0.867327, Time  0.464269
2021-09-08 16:29:04.250006 : Epoch  1, Batch   1733, Loss  0.865860, Average Loss  0.867240, Time  0.353860
2021-09-08 16:29:05.895561 : Epoch  1, Batch   1734, Loss  0.866340, Average Loss  0.867225, Time  0.354164
2021-09-08 16:29:07.579441 : Epoch  1, Batch   1735, Loss  0.895436, Average Loss  0.867455, Time  0.378648
2021-09-08 16:29:09.335939 : Epoch  1, Batch   1736, Loss  0.858186, Average Loss  0.867539, Time  0.464217
2021-09-08 16:29:10.982307 : Epoch  1, Batch   1737, Loss  0.882246, Average Loss  0.867508, Time  0.354125
2021-09-08 16:29:12.635944 : Epoch  1, Batch   1738, Loss  0.873006, Average Loss  0.867643, Time  0.354933
2021-09-08 16:29:14.310097 : Epoch  1, Batch   1739, Loss  0.887146, Average Loss  0.867811, Time  0.380980
2021-09-08 16:29:16.071442 : Epoch  1, Batch   1740, Loss  0.850732, Average Loss  0.867773, Time  0.464952
2021-09-08 16:29:17.723579 : Epoch  1, Batch   1741, Loss  0.844665, Average Loss  0.867568, Time  0.354889
2021-09-08 16:29:19.369102 : Epoch  1, Batch   1742, Loss  0.882870, Average Loss  0.867704, Time  0.355272
2021-09-08 16:29:21.050958 : Epoch  1, Batch   1743, Loss  0.862395, Average Loss  0.867628, Time  0.381849
2021-09-08 16:29:22.810842 : Epoch  1, Batch   1744, Loss  0.878201, Average Loss  0.867642, Time  0.465330
2021-09-08 16:29:24.456824 : Epoch  1, Batch   1745, Loss  0.898362, Average Loss  0.867912, Time  0.355411
2021-09-08 16:29:26.114241 : Epoch  1, Batch   1746, Loss  0.892857, Average Loss  0.867997, Time  0.353877
2021-09-08 16:29:27.814947 : Epoch  1, Batch   1747, Loss  0.843324, Average Loss  0.867898, Time  0.391750
2021-09-08 16:29:29.588086 : Epoch  1, Batch   1748, Loss  0.869310, Average Loss  0.867842, Time  0.465077
2021-09-08 16:29:31.240110 : Epoch  1, Batch   1749, Loss  0.894476, Average Loss  0.868044, Time  0.355411
2021-09-08 16:29:32.910765 : Epoch  1, Batch   1750, Loss  0.857523, Average Loss  0.868077, Time  0.355510
2021-09-08 16:29:34.594662 : Epoch  1, Batch   1751, Loss  0.872854, Average Loss  0.867854, Time  0.375987
2021-09-08 16:29:36.365146 : Epoch  1, Batch   1752, Loss  0.865389, Average Loss  0.867940, Time  0.462779
2021-09-08 16:29:38.026346 : Epoch  1, Batch   1753, Loss  0.881051, Average Loss  0.867897, Time  0.348943
2021-09-08 16:29:39.697640 : Epoch  1, Batch   1754, Loss  0.914348, Average Loss  0.868024, Time  0.356178
2021-09-08 16:29:41.381011 : Epoch  1, Batch   1755, Loss  0.858682, Average Loss  0.867955, Time  0.367169
2021-09-08 16:29:43.162803 : Epoch  1, Batch   1756, Loss  0.878687, Average Loss  0.868249, Time  0.464645
2021-09-08 16:29:44.808655 : Epoch  1, Batch   1757, Loss  0.868758, Average Loss  0.868378, Time  0.348924
2021-09-08 16:29:46.460307 : Epoch  1, Batch   1758, Loss  0.893976, Average Loss  0.868568, Time  0.356113
2021-09-08 16:29:48.121663 : Epoch  1, Batch   1759, Loss  0.887773, Average Loss  0.868816, Time  0.364795
2021-09-08 16:29:49.884263 : Epoch  1, Batch   1760, Loss  0.876329, Average Loss  0.868827, Time  0.464436
2021-09-08 16:29:51.537675 : Epoch  1, Batch   1761, Loss  0.861621, Average Loss  0.868757, Time  0.355244
2021-09-08 16:29:53.185718 : Epoch  1, Batch   1762, Loss  0.855025, Average Loss  0.868536, Time  0.354634
2021-09-08 16:29:54.860657 : Epoch  1, Batch   1763, Loss  0.893594, Average Loss  0.868675, Time  0.382566
2021-09-08 16:29:56.624288 : Epoch  1, Batch   1764, Loss  0.855489, Average Loss  0.868661, Time  0.463293
2021-09-08 16:29:58.271512 : Epoch  1, Batch   1765, Loss  0.851239, Average Loss  0.868703, Time  0.355594
2021-09-08 16:29:59.938724 : Epoch  1, Batch   1766, Loss  0.881180, Average Loss  0.868792, Time  0.356302
2021-09-08 16:30:01.610380 : Epoch  1, Batch   1767, Loss  0.910998, Average Loss  0.869234, Time  0.370309
2021-09-08 16:30:03.375734 : Epoch  1, Batch   1768, Loss  0.844595, Average Loss  0.869020, Time  0.465893
2021-09-08 16:30:05.034280 : Epoch  1, Batch   1769, Loss  0.893816, Average Loss  0.869225, Time  0.355795
2021-09-08 16:30:06.679650 : Epoch  1, Batch   1770, Loss  0.871388, Average Loss  0.869076, Time  0.355142
2021-09-08 16:30:08.349555 : Epoch  1, Batch   1771, Loss  0.857965, Average Loss  0.869049, Time  0.375973
2021-09-08 16:30:10.114135 : Epoch  1, Batch   1772, Loss  0.876802, Average Loss  0.869166, Time  0.463325
2021-09-08 16:30:11.769985 : Epoch  1, Batch   1773, Loss  0.894964, Average Loss  0.869407, Time  0.354905
2021-09-08 16:30:13.421300 : Epoch  1, Batch   1774, Loss  0.863546, Average Loss  0.869382, Time  0.354745
2021-09-08 16:30:15.091756 : Epoch  1, Batch   1775, Loss  0.877677, Average Loss  0.869375, Time  0.371045
2021-09-08 16:30:16.862200 : Epoch  1, Batch   1776, Loss  0.912110, Average Loss  0.869621, Time  0.462418
2021-09-08 16:30:18.503772 : Epoch  1, Batch   1777, Loss  0.890082, Average Loss  0.869610, Time  0.347986
2021-09-08 16:30:20.156264 : Epoch  1, Batch   1778, Loss  0.859442, Average Loss  0.869545, Time  0.354757
2021-09-08 16:30:21.821317 : Epoch  1, Batch   1779, Loss  0.872836, Average Loss  0.869624, Time  0.367240
2021-09-08 16:30:23.584727 : Epoch  1, Batch   1780, Loss  0.832393, Average Loss  0.869429, Time  0.465104
2021-09-08 16:30:25.250481 : Epoch  1, Batch   1781, Loss  0.906327, Average Loss  0.869773, Time  0.335185
2021-09-08 16:30:26.912493 : Epoch  1, Batch   1782, Loss  0.885058, Average Loss  0.869915, Time  0.356046
2021-09-08 16:30:28.585812 : Epoch  1, Batch   1783, Loss  0.875193, Average Loss  0.870024, Time  0.360270
2021-09-08 16:30:30.344951 : Epoch  1, Batch   1784, Loss  0.869981, Average Loss  0.870037, Time  0.463352
2021-09-08 16:30:31.994541 : Epoch  1, Batch   1785, Loss  0.862184, Average Loss  0.870114, Time  0.355565
2021-09-08 16:30:33.654868 : Epoch  1, Batch   1786, Loss  0.896829, Average Loss  0.870180, Time  0.356954
2021-09-08 16:30:35.344921 : Epoch  1, Batch   1787, Loss  0.873469, Average Loss  0.870125, Time  0.372862
2021-09-08 16:30:37.107590 : Epoch  1, Batch   1788, Loss  0.883213, Average Loss  0.870405, Time  0.465368
2021-09-08 16:30:38.753869 : Epoch  1, Batch   1789, Loss  0.855251, Average Loss  0.870274, Time  0.338661
2021-09-08 16:30:40.430531 : Epoch  1, Batch   1790, Loss  0.866651, Average Loss  0.870171, Time  0.357008
2021-09-08 16:30:42.091762 : Epoch  1, Batch   1791, Loss  0.861353, Average Loss  0.870151, Time  0.358753
2021-09-08 16:30:43.848856 : Epoch  1, Batch   1792, Loss  0.869171, Average Loss  0.870156, Time  0.464214
2021-09-08 16:30:45.499893 : Epoch  1, Batch   1793, Loss  0.870052, Average Loss  0.870297, Time  0.356642
2021-09-08 16:30:47.145032 : Epoch  1, Batch   1794, Loss  0.894221, Average Loss  0.870285, Time  0.355007
2021-09-08 16:30:48.825258 : Epoch  1, Batch   1795, Loss  0.902719, Average Loss  0.870694, Time  0.376941
2021-09-08 16:30:50.599715 : Epoch  1, Batch   1796, Loss  0.870297, Average Loss  0.870739, Time  0.464064
2021-09-08 16:30:52.268051 : Epoch  1, Batch   1797, Loss  0.857655, Average Loss  0.870565, Time  0.354334
2021-09-08 16:30:53.932103 : Epoch  1, Batch   1798, Loss  0.822073, Average Loss  0.870241, Time  0.355632
2021-09-08 16:30:55.607175 : Epoch  1, Batch   1799, Loss  0.892362, Average Loss  0.870375, Time  0.381121
2021-09-08 16:30:57.361082 : Epoch  1, Batch   1800, Loss  0.881214, Average Loss  0.870354, Time  0.464720
2021-09-08 16:35:29.735217 : CheckPoint: Validation Loss  0.00060263, Best Loss  0.00058797
2021-09-08 16:35:31.506756 : Epoch  1, Batch   1801, Loss  0.863063, Average Loss  0.870301, Time  0.424648
2021-09-08 16:35:33.278814 : Epoch  1, Batch   1802, Loss  0.863111, Average Loss  0.870304, Time  0.463943
2021-09-08 16:35:34.928598 : Epoch  1, Batch   1803, Loss  0.878129, Average Loss  0.870506, Time  0.354263
2021-09-08 16:35:36.604411 : Epoch  1, Batch   1804, Loss  0.891668, Average Loss  0.870735, Time  0.355211
2021-09-08 16:35:38.315675 : Epoch  1, Batch   1805, Loss  0.875438, Average Loss  0.870882, Time  0.388719
2021-09-08 16:35:40.098107 : Epoch  1, Batch   1806, Loss  0.875907, Average Loss  0.870902, Time  0.461394
2021-09-08 16:35:41.759726 : Epoch  1, Batch   1807, Loss  0.851037, Average Loss  0.870797, Time  0.356016
2021-09-08 16:35:43.425145 : Epoch  1, Batch   1808, Loss  0.845100, Average Loss  0.870573, Time  0.354675
2021-09-08 16:35:45.126735 : Epoch  1, Batch   1809, Loss  0.895875, Average Loss  0.870712, Time  0.384289
2021-09-08 16:35:46.899648 : Epoch  1, Batch   1810, Loss  0.870344, Average Loss  0.870396, Time  0.464265
2021-09-08 16:35:48.552028 : Epoch  1, Batch   1811, Loss  0.879713, Average Loss  0.870296, Time  0.353621
2021-09-08 16:35:50.226617 : Epoch  1, Batch   1812, Loss  0.876657, Average Loss  0.870454, Time  0.355493
2021-09-08 16:35:51.922515 : Epoch  1, Batch   1813, Loss  0.892102, Average Loss  0.870604, Time  0.377517
2021-09-08 16:35:53.708334 : Epoch  1, Batch   1814, Loss  0.829965, Average Loss  0.870414, Time  0.463035
2021-09-08 16:35:55.376107 : Epoch  1, Batch   1815, Loss  0.843553, Average Loss  0.870199, Time  0.355575
2021-09-08 16:35:57.045198 : Epoch  1, Batch   1816, Loss  0.855781, Average Loss  0.870114, Time  0.354491
2021-09-08 16:35:58.722517 : Epoch  1, Batch   1817, Loss  0.889426, Average Loss  0.869998, Time  0.375136
2021-09-08 16:36:00.503013 : Epoch  1, Batch   1818, Loss  0.894955, Average Loss  0.870028, Time  0.466105
2021-09-08 16:36:02.140021 : Epoch  1, Batch   1819, Loss  0.859566, Average Loss  0.869962, Time  0.335038
2021-09-08 16:36:03.808035 : Epoch  1, Batch   1820, Loss  0.887885, Average Loss  0.870131, Time  0.354541
2021-09-08 16:36:05.468230 : Epoch  1, Batch   1821, Loss  0.874102, Average Loss  0.870304, Time  0.358058
2021-09-08 16:36:07.228628 : Epoch  1, Batch   1822, Loss  0.896306, Average Loss  0.870433, Time  0.463411
2021-09-08 16:36:08.883800 : Epoch  1, Batch   1823, Loss  0.882414, Average Loss  0.870322, Time  0.355424
2021-09-08 16:36:10.547461 : Epoch  1, Batch   1824, Loss  0.865439, Average Loss  0.870269, Time  0.355936
2021-09-08 16:36:12.230708 : Epoch  1, Batch   1825, Loss  0.872206, Average Loss  0.870349, Time  0.372140
2021-09-08 16:36:14.003132 : Epoch  1, Batch   1826, Loss  0.853782, Average Loss  0.870310, Time  0.464700
2021-09-08 16:36:15.654084 : Epoch  1, Batch   1827, Loss  0.861294, Average Loss  0.870313, Time  0.355871
2021-09-08 16:36:17.323337 : Epoch  1, Batch   1828, Loss  0.882735, Average Loss  0.870396, Time  0.357367
2021-09-08 16:36:19.011289 : Epoch  1, Batch   1829, Loss  0.868359, Average Loss  0.870395, Time  0.373137
2021-09-08 16:36:20.795993 : Epoch  1, Batch   1830, Loss  0.869142, Average Loss  0.870242, Time  0.463578
2021-09-08 16:36:22.465505 : Epoch  1, Batch   1831, Loss  0.852295, Average Loss  0.870092, Time  0.356262
2021-09-08 16:36:24.141210 : Epoch  1, Batch   1832, Loss  0.871595, Average Loss  0.870065, Time  0.356146
2021-09-08 16:36:25.834808 : Epoch  1, Batch   1833, Loss  0.868477, Average Loss  0.870008, Time  0.374867
2021-09-08 16:36:27.619113 : Epoch  1, Batch   1834, Loss  0.872769, Average Loss  0.869988, Time  0.463557
2021-09-08 16:36:29.288709 : Epoch  1, Batch   1835, Loss  0.855432, Average Loss  0.869888, Time  0.336480
2021-09-08 16:36:30.967575 : Epoch  1, Batch   1836, Loss  0.866070, Average Loss  0.869878, Time  0.356148
2021-09-08 16:36:32.641444 : Epoch  1, Batch   1837, Loss  0.878621, Average Loss  0.869879, Time  0.356417
2021-09-08 16:36:34.404183 : Epoch  1, Batch   1838, Loss  0.912374, Average Loss  0.870043, Time  0.462760
2021-09-08 16:36:36.069559 : Epoch  1, Batch   1839, Loss  0.846427, Average Loss  0.869972, Time  0.355534
2021-09-08 16:36:37.728024 : Epoch  1, Batch   1840, Loss  0.844380, Average Loss  0.869927, Time  0.355668
2021-09-08 16:36:39.402575 : Epoch  1, Batch   1841, Loss  0.868832, Average Loss  0.870084, Time  0.370343
2021-09-08 16:36:41.169274 : Epoch  1, Batch   1842, Loss  0.873538, Average Loss  0.870124, Time  0.464826
2021-09-08 16:36:42.825555 : Epoch  1, Batch   1843, Loss  0.901268, Average Loss  0.870368, Time  0.356263
2021-09-08 16:36:44.486327 : Epoch  1, Batch   1844, Loss  0.865483, Average Loss  0.870348, Time  0.356001
2021-09-08 16:36:46.157439 : Epoch  1, Batch   1845, Loss  0.874550, Average Loss  0.870226, Time  0.374799
2021-09-08 16:36:47.931618 : Epoch  1, Batch   1846, Loss  0.885018, Average Loss  0.870303, Time  0.461625
2021-09-08 16:36:49.599738 : Epoch  1, Batch   1847, Loss  0.858583, Average Loss  0.870181, Time  0.355690
2021-09-08 16:36:51.305382 : Epoch  1, Batch   1848, Loss  0.885897, Average Loss  0.870372, Time  0.356287
2021-09-08 16:36:52.981401 : Epoch  1, Batch   1849, Loss  0.864223, Average Loss  0.870237, Time  0.374252
2021-09-08 16:36:54.742225 : Epoch  1, Batch   1850, Loss  0.880002, Average Loss  0.870392, Time  0.461260
2021-09-08 16:36:56.395017 : Epoch  1, Batch   1851, Loss  0.860804, Average Loss  0.870499, Time  0.354522
2021-09-08 16:36:58.061440 : Epoch  1, Batch   1852, Loss  0.829778, Average Loss  0.870364, Time  0.355990
2021-09-08 16:36:59.760172 : Epoch  1, Batch   1853, Loss  0.866535, Average Loss  0.870290, Time  0.383533
2021-09-08 16:37:01.526070 : Epoch  1, Batch   1854, Loss  0.882550, Average Loss  0.870367, Time  0.464475
2021-09-08 16:37:03.184057 : Epoch  1, Batch   1855, Loss  0.902557, Average Loss  0.870350, Time  0.355294
2021-09-08 16:37:04.861369 : Epoch  1, Batch   1856, Loss  0.877339, Average Loss  0.870461, Time  0.354299
2021-09-08 16:37:06.567247 : Epoch  1, Batch   1857, Loss  0.856014, Average Loss  0.870484, Time  0.381172
2021-09-08 16:37:08.351373 : Epoch  1, Batch   1858, Loss  0.874978, Average Loss  0.870717, Time  0.462914
2021-09-08 16:37:10.030865 : Epoch  1, Batch   1859, Loss  0.855222, Average Loss  0.870673, Time  0.356564
2021-09-08 16:37:11.708158 : Epoch  1, Batch   1860, Loss  0.856010, Average Loss  0.870706, Time  0.357548
2021-09-08 16:37:13.394248 : Epoch  1, Batch   1861, Loss  0.858890, Average Loss  0.870786, Time  0.370658
2021-09-08 16:37:15.163241 : Epoch  1, Batch   1862, Loss  0.886720, Average Loss  0.870871, Time  0.464653
2021-09-08 16:37:16.819593 : Epoch  1, Batch   1863, Loss  0.853242, Average Loss  0.870746, Time  0.356086
2021-09-08 16:37:18.503074 : Epoch  1, Batch   1864, Loss  0.862009, Average Loss  0.870855, Time  0.355461
2021-09-08 16:37:20.177213 : Epoch  1, Batch   1865, Loss  0.862074, Average Loss  0.870946, Time  0.374000
2021-09-08 16:37:21.942022 : Epoch  1, Batch   1866, Loss  0.887771, Average Loss  0.871080, Time  0.465638
2021-09-08 16:37:23.594035 : Epoch  1, Batch   1867, Loss  0.840110, Average Loss  0.870902, Time  0.350794
2021-09-08 16:37:25.244033 : Epoch  1, Batch   1868, Loss  0.886305, Average Loss  0.871072, Time  0.354992
2021-09-08 16:37:26.921372 : Epoch  1, Batch   1869, Loss  0.858317, Average Loss  0.871318, Time  0.370117
2021-09-08 16:37:28.698690 : Epoch  1, Batch   1870, Loss  0.886480, Average Loss  0.871520, Time  0.463416
2021-09-08 16:37:30.369782 : Epoch  1, Batch   1871, Loss  0.840138, Average Loss  0.871519, Time  0.355377
2021-09-08 16:37:32.040873 : Epoch  1, Batch   1872, Loss  0.857190, Average Loss  0.871473, Time  0.355474
2021-09-08 16:37:33.747792 : Epoch  1, Batch   1873, Loss  0.869273, Average Loss  0.871507, Time  0.386968
2021-09-08 16:37:35.528540 : Epoch  1, Batch   1874, Loss  0.855121, Average Loss  0.871423, Time  0.461897
2021-09-08 16:37:37.203483 : Epoch  1, Batch   1875, Loss  0.861693, Average Loss  0.871347, Time  0.355705
2021-09-08 16:37:38.873487 : Epoch  1, Batch   1876, Loss  0.898125, Average Loss  0.871361, Time  0.355045
2021-09-08 16:37:40.581013 : Epoch  1, Batch   1877, Loss  0.849175, Average Loss  0.871220, Time  0.384530
2021-09-08 16:37:42.364725 : Epoch  1, Batch   1878, Loss  0.896930, Average Loss  0.871481, Time  0.461920
2021-09-08 16:37:44.035852 : Epoch  1, Batch   1879, Loss  0.882672, Average Loss  0.871519, Time  0.356149
2021-09-08 16:37:45.704918 : Epoch  1, Batch   1880, Loss  0.870861, Average Loss  0.871326, Time  0.357188
2021-09-08 16:37:47.398654 : Epoch  1, Batch   1881, Loss  0.847425, Average Loss  0.871190, Time  0.376585
2021-09-08 16:37:49.175211 : Epoch  1, Batch   1882, Loss  0.866583, Average Loss  0.871245, Time  0.462773
2021-09-08 16:37:50.850155 : Epoch  1, Batch   1883, Loss  0.859176, Average Loss  0.871342, Time  0.354444
2021-09-08 16:37:52.524222 : Epoch  1, Batch   1884, Loss  0.835104, Average Loss  0.871122, Time  0.356510
2021-09-08 16:37:54.221786 : Epoch  1, Batch   1885, Loss  0.914418, Average Loss  0.871421, Time  0.377118
2021-09-08 16:37:55.987019 : Epoch  1, Batch   1886, Loss  0.852016, Average Loss  0.871226, Time  0.465064
2021-09-08 16:37:57.643618 : Epoch  1, Batch   1887, Loss  0.867032, Average Loss  0.871178, Time  0.356464
2021-09-08 16:37:59.317444 : Epoch  1, Batch   1888, Loss  0.842958, Average Loss  0.871116, Time  0.354376
2021-09-08 16:38:01.018386 : Epoch  1, Batch   1889, Loss  0.847718, Average Loss  0.871236, Time  0.374281
2021-09-08 16:38:02.800394 : Epoch  1, Batch   1890, Loss  0.873260, Average Loss  0.871283, Time  0.463295
2021-09-08 16:38:04.465809 : Epoch  1, Batch   1891, Loss  0.853251, Average Loss  0.871247, Time  0.354491
2021-09-08 16:38:06.118156 : Epoch  1, Batch   1892, Loss  0.881563, Average Loss  0.871309, Time  0.354654
2021-09-08 16:38:07.824501 : Epoch  1, Batch   1893, Loss  0.862778, Average Loss  0.871251, Time  0.386468
2021-09-08 16:38:09.608567 : Epoch  1, Batch   1894, Loss  0.872139, Average Loss  0.871254, Time  0.464540
2021-09-08 16:38:11.279834 : Epoch  1, Batch   1895, Loss  0.893527, Average Loss  0.871466, Time  0.355198
2021-09-08 16:38:12.944536 : Epoch  1, Batch   1896, Loss  0.884650, Average Loss  0.871593, Time  0.354858
2021-09-08 16:38:14.625532 : Epoch  1, Batch   1897, Loss  0.877807, Average Loss  0.871623, Time  0.383460
2021-09-08 16:38:16.399222 : Epoch  1, Batch   1898, Loss  0.851573, Average Loss  0.871291, Time  0.463281
2021-09-08 16:38:18.068083 : Epoch  1, Batch   1899, Loss  0.865282, Average Loss  0.871209, Time  0.355607
2021-09-08 16:38:19.734792 : Epoch  1, Batch   1900, Loss  0.866286, Average Loss  0.871193, Time  0.354264
2021-09-08 16:42:53.040821 : CheckPoint: Validation Loss  0.00061163, Best Loss  0.00058797
2021-09-08 16:42:54.697654 : Epoch  1, Batch   1901, Loss  0.866498, Average Loss  0.871109, Time  0.357292
2021-09-08 16:42:56.357788 : Epoch  1, Batch   1902, Loss  0.877513, Average Loss  0.871160, Time  0.355646
2021-09-08 16:42:58.054826 : Epoch  1, Batch   1903, Loss  0.836067, Average Loss  0.870965, Time  0.396114
2021-09-08 16:42:59.817418 : Epoch  1, Batch   1904, Loss  0.867962, Average Loss  0.870851, Time  0.464710
2021-09-08 16:43:01.478621 : Epoch  1, Batch   1905, Loss  0.867605, Average Loss  0.870885, Time  0.355523
2021-09-08 16:43:03.134189 : Epoch  1, Batch   1906, Loss  0.872467, Average Loss  0.870932, Time  0.354580
2021-09-08 16:43:04.838924 : Epoch  1, Batch   1907, Loss  0.873996, Average Loss  0.870925, Time  0.407001
2021-09-08 16:43:06.606675 : Epoch  1, Batch   1908, Loss  0.863523, Average Loss  0.870975, Time  0.464587
2021-09-08 16:43:08.266795 : Epoch  1, Batch   1909, Loss  0.830766, Average Loss  0.870672, Time  0.355281
2021-09-08 16:43:09.918658 : Epoch  1, Batch   1910, Loss  0.865773, Average Loss  0.870686, Time  0.355349
2021-09-08 16:43:11.622265 : Epoch  1, Batch   1911, Loss  0.871083, Average Loss  0.870691, Time  0.401160
2021-09-08 16:43:13.379625 : Epoch  1, Batch   1912, Loss  0.869749, Average Loss  0.870587, Time  0.465078
2021-09-08 16:43:15.017944 : Epoch  1, Batch   1913, Loss  0.852101, Average Loss  0.870495, Time  0.354417
2021-09-08 16:43:16.649730 : Epoch  1, Batch   1914, Loss  0.874081, Average Loss  0.870527, Time  0.354531
2021-09-08 16:43:18.347283 : Epoch  1, Batch   1915, Loss  0.853814, Average Loss  0.870461, Time  0.403267
2021-09-08 16:43:20.116386 : Epoch  1, Batch   1916, Loss  0.848213, Average Loss  0.870310, Time  0.465420
2021-09-08 16:43:21.771698 : Epoch  1, Batch   1917, Loss  0.842301, Average Loss  0.870195, Time  0.356057
2021-09-08 16:43:23.433514 : Epoch  1, Batch   1918, Loss  0.881397, Average Loss  0.870148, Time  0.355685
2021-09-08 16:43:25.136707 : Epoch  1, Batch   1919, Loss  0.873257, Average Loss  0.870179, Time  0.401176
2021-09-08 16:43:26.892752 : Epoch  1, Batch   1920, Loss  0.866181, Average Loss  0.870211, Time  0.464570
2021-09-08 16:43:28.528067 : Epoch  1, Batch   1921, Loss  0.877491, Average Loss  0.870152, Time  0.355497
2021-09-08 16:43:30.162206 : Epoch  1, Batch   1922, Loss  0.878900, Average Loss  0.870231, Time  0.354497
2021-09-08 16:43:31.847339 : Epoch  1, Batch   1923, Loss  0.839551, Average Loss  0.870082, Time  0.397236
2021-09-08 16:43:33.603277 : Epoch  1, Batch   1924, Loss  0.857153, Average Loss  0.870022, Time  0.464185
2021-09-08 16:43:35.245459 : Epoch  1, Batch   1925, Loss  0.851038, Average Loss  0.869982, Time  0.355439
2021-09-08 16:43:36.886282 : Epoch  1, Batch   1926, Loss  0.855428, Average Loss  0.869937, Time  0.353342
2021-09-08 16:43:38.562660 : Epoch  1, Batch   1927, Loss  0.868473, Average Loss  0.870019, Time  0.394849
2021-09-08 16:43:40.306705 : Epoch  1, Batch   1928, Loss  0.874231, Average Loss  0.870202, Time  0.465048
2021-09-08 16:43:41.955421 : Epoch  1, Batch   1929, Loss  0.872126, Average Loss  0.870086, Time  0.355558
2021-09-08 16:43:43.587926 : Epoch  1, Batch   1930, Loss  0.853229, Average Loss  0.870065, Time  0.353922
2021-09-08 16:43:45.276799 : Epoch  1, Batch   1931, Loss  0.872966, Average Loss  0.870050, Time  0.402105
2021-09-08 16:43:47.035769 : Epoch  1, Batch   1932, Loss  0.845840, Average Loss  0.869820, Time  0.463359
2021-09-08 16:43:48.701616 : Epoch  1, Batch   1933, Loss  0.858701, Average Loss  0.869784, Time  0.354521
2021-09-08 16:43:50.359484 : Epoch  1, Batch   1934, Loss  0.859492, Average Loss  0.869750, Time  0.355425
2021-09-08 16:43:52.039994 : Epoch  1, Batch   1935, Loss  0.859019, Average Loss  0.869567, Time  0.396885
2021-09-08 16:43:53.790226 : Epoch  1, Batch   1936, Loss  0.863929, Average Loss  0.869596, Time  0.462539
2021-09-08 16:43:55.427921 : Epoch  1, Batch   1937, Loss  0.860057, Average Loss  0.869485, Time  0.354831
2021-09-08 16:43:57.077537 : Epoch  1, Batch   1938, Loss  0.879383, Average Loss  0.869517, Time  0.352947
2021-09-08 16:43:58.767265 : Epoch  1, Batch   1939, Loss  0.859840, Average Loss  0.869381, Time  0.395715
2021-09-08 16:44:00.522876 : Epoch  1, Batch   1940, Loss  0.855155, Average Loss  0.869403, Time  0.466473
2021-09-08 16:44:02.155266 : Epoch  1, Batch   1941, Loss  0.868313, Average Loss  0.869521, Time  0.355206
2021-09-08 16:44:03.809532 : Epoch  1, Batch   1942, Loss  0.873177, Average Loss  0.869472, Time  0.355962
2021-09-08 16:44:05.506271 : Epoch  1, Batch   1943, Loss  0.849616, Average Loss  0.869409, Time  0.394932
2021-09-08 16:44:07.252316 : Epoch  1, Batch   1944, Loss  0.881565, Average Loss  0.869425, Time  0.463626
2021-09-08 16:44:08.917800 : Epoch  1, Batch   1945, Loss  0.885563, Average Loss  0.869361, Time  0.355711
2021-09-08 16:44:10.577253 : Epoch  1, Batch   1946, Loss  0.835715, Average Loss  0.869076, Time  0.355527
2021-09-08 16:44:12.272189 : Epoch  1, Batch   1947, Loss  0.869423, Average Loss  0.869206, Time  0.397017
2021-09-08 16:44:14.042222 : Epoch  1, Batch   1948, Loss  0.872406, Average Loss  0.869222, Time  0.462112
2021-09-08 16:44:15.702652 : Epoch  1, Batch   1949, Loss  0.873312, Average Loss  0.869116, Time  0.355201
2021-09-08 16:44:17.344249 : Epoch  1, Batch   1950, Loss  0.879500, Average Loss  0.869226, Time  0.353973
2021-09-08 16:44:19.021047 : Epoch  1, Batch   1951, Loss  0.866153, Average Loss  0.869192, Time  0.398617
2021-09-08 16:44:20.779958 : Epoch  1, Batch   1952, Loss  0.889431, Average Loss  0.869312, Time  0.462643
2021-09-08 16:44:22.429936 : Epoch  1, Batch   1953, Loss  0.863874, Average Loss  0.869227, Time  0.355752
2021-09-08 16:44:24.076629 : Epoch  1, Batch   1954, Loss  0.867544, Average Loss  0.868993, Time  0.354926
2021-09-08 16:44:25.767690 : Epoch  1, Batch   1955, Loss  0.839261, Average Loss  0.868895, Time  0.405251
2021-09-08 16:44:27.530796 : Epoch  1, Batch   1956, Loss  0.861890, Average Loss  0.868811, Time  0.461683
2021-09-08 16:44:29.167471 : Epoch  1, Batch   1957, Loss  0.868540, Average Loss  0.868810, Time  0.353847
2021-09-08 16:44:30.800437 : Epoch  1, Batch   1958, Loss  0.847766, Average Loss  0.868579, Time  0.354263
2021-09-08 16:44:32.490758 : Epoch  1, Batch   1959, Loss  0.895977, Average Loss  0.868620, Time  0.404771
2021-09-08 16:44:34.243177 : Epoch  1, Batch   1960, Loss  0.867170, Average Loss  0.868575, Time  0.464647
2021-09-08 16:44:35.897502 : Epoch  1, Batch   1961, Loss  0.899053, Average Loss  0.868762, Time  0.355716
2021-09-08 16:44:37.551754 : Epoch  1, Batch   1962, Loss  0.880339, Average Loss  0.868888, Time  0.354478
2021-09-08 16:44:39.254192 : Epoch  1, Batch   1963, Loss  0.864783, Average Loss  0.868744, Time  0.399096
2021-09-08 16:44:40.999735 : Epoch  1, Batch   1964, Loss  0.875088, Average Loss  0.868842, Time  0.463854
2021-09-08 16:44:42.655318 : Epoch  1, Batch   1965, Loss  0.855290, Average Loss  0.868862, Time  0.354956
2021-09-08 16:44:44.303643 : Epoch  1, Batch   1966, Loss  0.862846, Average Loss  0.868771, Time  0.354825
2021-09-08 16:44:45.984098 : Epoch  1, Batch   1967, Loss  0.869395, Average Loss  0.868563, Time  0.401126
2021-09-08 16:44:47.742705 : Epoch  1, Batch   1968, Loss  0.889026, Average Loss  0.868785, Time  0.464825
2021-09-08 16:44:49.393041 : Epoch  1, Batch   1969, Loss  0.887158, Average Loss  0.868752, Time  0.355555
2021-09-08 16:44:51.030160 : Epoch  1, Batch   1970, Loss  0.880011, Average Loss  0.868795, Time  0.355267
2021-09-08 16:44:52.719052 : Epoch  1, Batch   1971, Loss  0.872670, Average Loss  0.868868, Time  0.396143
2021-09-08 16:44:54.487412 : Epoch  1, Batch   1972, Loss  0.849085, Average Loss  0.868730, Time  0.463191
2021-09-08 16:44:56.140797 : Epoch  1, Batch   1973, Loss  0.895718, Average Loss  0.868733, Time  0.355278
2021-09-08 16:44:57.796475 : Epoch  1, Batch   1974, Loss  0.873335, Average Loss  0.868782, Time  0.355232
2021-09-08 16:44:59.496448 : Epoch  1, Batch   1975, Loss  0.852134, Average Loss  0.868655, Time  0.398211
2021-09-08 16:45:01.260297 : Epoch  1, Batch   1976, Loss  0.878051, Average Loss  0.868484, Time  0.463639
2021-09-08 16:45:02.912507 : Epoch  1, Batch   1977, Loss  0.883353, Average Loss  0.868451, Time  0.355754
2021-09-08 16:45:04.568135 : Epoch  1, Batch   1978, Loss  0.886772, Average Loss  0.868587, Time  0.356464
2021-09-08 16:45:06.271540 : Epoch  1, Batch   1979, Loss  0.899869, Average Loss  0.868723, Time  0.407026
2021-09-08 16:45:08.033098 : Epoch  1, Batch   1980, Loss  0.858496, Average Loss  0.868853, Time  0.460662
2021-09-08 16:45:09.690130 : Epoch  1, Batch   1981, Loss  0.881351, Average Loss  0.868728, Time  0.354664
2021-09-08 16:45:11.346827 : Epoch  1, Batch   1982, Loss  0.854777, Average Loss  0.868577, Time  0.355108
2021-09-08 16:45:13.055256 : Epoch  1, Batch   1983, Loss  0.863062, Average Loss  0.868516, Time  0.403773
2021-09-08 16:45:14.810719 : Epoch  1, Batch   1984, Loss  0.846605, Average Loss  0.868399, Time  0.465168
2021-09-08 16:45:16.445441 : Epoch  1, Batch   1985, Loss  0.886574, Average Loss  0.868521, Time  0.355130
2021-09-08 16:45:18.093313 : Epoch  1, Batch   1986, Loss  0.888398, Average Loss  0.868479, Time  0.352647
2021-09-08 16:45:19.779304 : Epoch  1, Batch   1987, Loss  0.872228, Average Loss  0.868473, Time  0.402708
2021-09-08 16:45:21.526777 : Epoch  1, Batch   1988, Loss  0.879233, Average Loss  0.868453, Time  0.464062
2021-09-08 16:45:23.159325 : Epoch  1, Batch   1989, Loss  0.867379, Average Loss  0.868514, Time  0.354275
2021-09-08 16:45:24.795099 : Epoch  1, Batch   1990, Loss  0.883788, Average Loss  0.868599, Time  0.354604
2021-09-08 16:45:26.496346 : Epoch  1, Batch   1991, Loss  0.893650, Average Loss  0.868761, Time  0.400666
2021-09-08 16:45:28.259842 : Epoch  1, Batch   1992, Loss  0.867435, Average Loss  0.868752, Time  0.463899
2021-09-08 16:45:29.908208 : Epoch  1, Batch   1993, Loss  0.883857, Average Loss  0.868821, Time  0.355423
2021-09-08 16:45:31.643420 : Epoch  1, Batch   1994, Loss  0.852886, Average Loss  0.868614, Time  0.355774
2021-09-08 16:45:33.313290 : Epoch  1, Batch   1995, Loss  0.885802, Average Loss  0.868530, Time  0.372911
2021-09-08 16:45:35.080914 : Epoch  1, Batch   1996, Loss  0.900694, Average Loss  0.868682, Time  0.464478
2021-09-08 16:45:36.736122 : Epoch  1, Batch   1997, Loss  0.884956, Average Loss  0.868818, Time  0.353855
2021-09-08 16:45:38.392132 : Epoch  1, Batch   1998, Loss  0.874820, Average Loss  0.869082, Time  0.355529
2021-09-08 16:45:40.082144 : Epoch  1, Batch   1999, Loss  0.859530, Average Loss  0.868918, Time  0.395733
2021-09-08 16:45:49.093248 : Epoch  1, Batch   2000, Loss  0.871114, Average Loss  0.868867, Time  0.368402
2021-09-08 16:50:20.987843 : CheckPoint: Validation Loss  0.00063113, Best Loss  0.00058797
2021-09-08 16:50:22.715161 : Epoch  1, Batch   2001, Loss  0.885321, Average Loss  0.868979, Time  0.426486
2021-09-08 16:50:24.475496 : Epoch  1, Batch   2002, Loss  0.852655, Average Loss  0.868926, Time  0.462493
2021-09-08 16:50:26.119717 : Epoch  1, Batch   2003, Loss  0.874581, Average Loss  0.868909, Time  0.354376
2021-09-08 16:50:27.755400 : Epoch  1, Batch   2004, Loss  0.884285, Average Loss  0.868872, Time  0.355061
2021-09-08 16:50:29.463399 : Epoch  1, Batch   2005, Loss  0.870180, Average Loss  0.868845, Time  0.409337
2021-09-08 16:50:31.230397 : Epoch  1, Batch   2006, Loss  0.856199, Average Loss  0.868747, Time  0.463726
2021-09-08 16:50:32.884167 : Epoch  1, Batch   2007, Loss  0.854519, Average Loss  0.868764, Time  0.353920
2021-09-08 16:50:34.550170 : Epoch  1, Batch   2008, Loss  0.863352, Average Loss  0.868856, Time  0.353279
2021-09-08 16:50:36.225487 : Epoch  1, Batch   2009, Loss  0.876333, Average Loss  0.868758, Time  0.398209
2021-09-08 16:50:37.969734 : Epoch  1, Batch   2010, Loss  0.844863, Average Loss  0.868630, Time  0.463188
2021-09-08 16:50:39.611195 : Epoch  1, Batch   2011, Loss  0.857145, Average Loss  0.868518, Time  0.354333
2021-09-08 16:50:41.260252 : Epoch  1, Batch   2012, Loss  0.854877, Average Loss  0.868409, Time  0.355727
2021-09-08 16:50:42.969314 : Epoch  1, Batch   2013, Loss  0.855387, Average Loss  0.868225, Time  0.407014
2021-09-08 16:50:44.735474 : Epoch  1, Batch   2014, Loss  0.854857, Average Loss  0.868350, Time  0.465922
2021-09-08 16:50:46.382513 : Epoch  1, Batch   2015, Loss  0.855695, Average Loss  0.868410, Time  0.354648
2021-09-08 16:50:48.037423 : Epoch  1, Batch   2016, Loss  0.889293, Average Loss  0.868578, Time  0.355114
2021-09-08 16:50:49.738935 : Epoch  1, Batch   2017, Loss  0.878975, Average Loss  0.868526, Time  0.398890
2021-09-08 16:50:51.501749 : Epoch  1, Batch   2018, Loss  0.865863, Average Loss  0.868380, Time  0.462100
2021-09-08 16:50:53.147220 : Epoch  1, Batch   2019, Loss  0.845002, Average Loss  0.868307, Time  0.354861
2021-09-08 16:50:54.781055 : Epoch  1, Batch   2020, Loss  0.849636, Average Loss  0.868116, Time  0.357559
2021-09-08 16:50:56.460932 : Epoch  1, Batch   2021, Loss  0.840370, Average Loss  0.867947, Time  0.401041
2021-09-08 16:50:58.215399 : Epoch  1, Batch   2022, Loss  0.885437, Average Loss  0.867893, Time  0.463366
2021-09-08 16:50:59.852273 : Epoch  1, Batch   2023, Loss  0.860771, Average Loss  0.867785, Time  0.355268
2021-09-08 16:51:01.493298 : Epoch  1, Batch   2024, Loss  0.852665, Average Loss  0.867721, Time  0.354924
2021-09-08 16:51:03.195054 : Epoch  1, Batch   2025, Loss  0.896524, Average Loss  0.867843, Time  0.402256
2021-09-08 16:51:04.959422 : Epoch  1, Batch   2026, Loss  0.896817, Average Loss  0.868058, Time  0.463951
2021-09-08 16:51:06.610868 : Epoch  1, Batch   2027, Loss  0.850102, Average Loss  0.868002, Time  0.355273
2021-09-08 16:51:08.255407 : Epoch  1, Batch   2028, Loss  0.876980, Average Loss  0.867973, Time  0.355252
2021-09-08 16:51:09.953054 : Epoch  1, Batch   2029, Loss  0.872545, Average Loss  0.867994, Time  0.404670
2021-09-08 16:51:11.711737 : Epoch  1, Batch   2030, Loss  0.880361, Average Loss  0.868050, Time  0.464301
2021-09-08 16:51:13.346245 : Epoch  1, Batch   2031, Loss  0.864181, Average Loss  0.868109, Time  0.356083
2021-09-08 16:51:14.996417 : Epoch  1, Batch   2032, Loss  0.896299, Average Loss  0.868233, Time  0.354925
2021-09-08 16:51:16.693203 : Epoch  1, Batch   2033, Loss  0.865721, Average Loss  0.868219, Time  0.401120
2021-09-08 16:51:18.474852 : Epoch  1, Batch   2034, Loss  0.869912, Average Loss  0.868205, Time  0.463496
2021-09-08 16:51:20.133553 : Epoch  1, Batch   2035, Loss  0.880328, Average Loss  0.868329, Time  0.356262
2021-09-08 16:51:21.806223 : Epoch  1, Batch   2036, Loss  0.866134, Average Loss  0.868330, Time  0.354995
2021-09-08 16:51:23.507961 : Epoch  1, Batch   2037, Loss  0.883900, Average Loss  0.868356, Time  0.389128
2021-09-08 16:51:25.279996 : Epoch  1, Batch   2038, Loss  0.857021, Average Loss  0.868079, Time  0.463425
2021-09-08 16:51:26.918993 : Epoch  1, Batch   2039, Loss  0.862059, Average Loss  0.868158, Time  0.353398
2021-09-08 16:51:28.557471 : Epoch  1, Batch   2040, Loss  0.853262, Average Loss  0.868202, Time  0.355140
2021-09-08 16:51:30.256445 : Epoch  1, Batch   2041, Loss  0.891590, Average Loss  0.868316, Time  0.404922
2021-09-08 16:51:32.011970 : Epoch  1, Batch   2042, Loss  0.857916, Average Loss  0.868238, Time  0.463582
2021-09-08 16:51:33.643145 : Epoch  1, Batch   2043, Loss  0.886165, Average Loss  0.868162, Time  0.354065
2021-09-08 16:51:35.277922 : Epoch  1, Batch   2044, Loss  0.850465, Average Loss  0.868087, Time  0.354776
2021-09-08 16:51:36.964973 : Epoch  1, Batch   2045, Loss  0.880292, Average Loss  0.868116, Time  0.404881
2021-09-08 16:51:38.716327 : Epoch  1, Batch   2046, Loss  0.877559, Average Loss  0.868078, Time  0.462975
2021-09-08 16:51:40.354646 : Epoch  1, Batch   2047, Loss  0.867243, Average Loss  0.868122, Time  0.354988
2021-09-08 16:51:42.004327 : Epoch  1, Batch   2048, Loss  0.870032, Average Loss  0.868042, Time  0.354048
2021-09-08 16:51:43.704917 : Epoch  1, Batch   2049, Loss  0.865041, Average Loss  0.868046, Time  0.407900
2021-09-08 16:51:45.474694 : Epoch  1, Batch   2050, Loss  0.852585, Average Loss  0.867909, Time  0.463566
2021-09-08 16:51:47.129180 : Epoch  1, Batch   2051, Loss  0.883499, Average Loss  0.868023, Time  0.355840
2021-09-08 16:51:48.793216 : Epoch  1, Batch   2052, Loss  0.905029, Average Loss  0.868399, Time  0.354062
2021-09-08 16:51:50.496544 : Epoch  1, Batch   2053, Loss  0.877138, Average Loss  0.868452, Time  0.400025
2021-09-08 16:51:52.257327 : Epoch  1, Batch   2054, Loss  0.865678, Average Loss  0.868368, Time  0.464711
2021-09-08 16:51:53.914503 : Epoch  1, Batch   2055, Loss  0.865385, Average Loss  0.868182, Time  0.355468
2021-09-08 16:51:55.577835 : Epoch  1, Batch   2056, Loss  0.857583, Average Loss  0.868083, Time  0.355808
2021-09-08 16:51:57.281270 : Epoch  1, Batch   2057, Loss  0.881970, Average Loss  0.868213, Time  0.404597
2021-09-08 16:51:59.031470 : Epoch  1, Batch   2058, Loss  0.870248, Average Loss  0.868189, Time  0.462785
2021-09-08 16:52:00.665118 : Epoch  1, Batch   2059, Loss  0.845146, Average Loss  0.868139, Time  0.354755
2021-09-08 16:52:02.302489 : Epoch  1, Batch   2060, Loss  0.848547, Average Loss  0.868102, Time  0.353509
2021-09-08 16:52:03.989713 : Epoch  1, Batch   2061, Loss  0.871762, Average Loss  0.868166, Time  0.411234
2021-09-08 16:52:05.761556 : Epoch  1, Batch   2062, Loss  0.870918, Average Loss  0.868087, Time  0.463301
2021-09-08 16:52:07.418769 : Epoch  1, Batch   2063, Loss  0.853082, Average Loss  0.868086, Time  0.355363
2021-09-08 16:52:09.058100 : Epoch  1, Batch   2064, Loss  0.877871, Average Loss  0.868165, Time  0.355026
2021-09-08 16:52:10.742724 : Epoch  1, Batch   2065, Loss  0.878720, Average Loss  0.868249, Time  0.402336
2021-09-08 16:52:12.493198 : Epoch  1, Batch   2066, Loss  0.894491, Average Loss  0.868282, Time  0.464658
2021-09-08 16:52:14.124289 : Epoch  1, Batch   2067, Loss  0.880004, Average Loss  0.868482, Time  0.353178
2021-09-08 16:52:15.768856 : Epoch  1, Batch   2068, Loss  0.917050, Average Loss  0.868635, Time  0.354824
2021-09-08 16:52:17.464966 : Epoch  1, Batch   2069, Loss  0.840236, Average Loss  0.868545, Time  0.408201
2021-09-08 16:52:19.217340 : Epoch  1, Batch   2070, Loss  0.877148, Average Loss  0.868498, Time  0.464936
2021-09-08 16:52:20.852918 : Epoch  1, Batch   2071, Loss  0.860214, Average Loss  0.868599, Time  0.355122
2021-09-08 16:52:22.490846 : Epoch  1, Batch   2072, Loss  0.867220, Average Loss  0.868649, Time  0.355210
2021-09-08 16:52:24.187766 : Epoch  1, Batch   2073, Loss  0.878763, Average Loss  0.868696, Time  0.402272
2021-09-08 16:52:25.941273 : Epoch  1, Batch   2074, Loss  0.883407, Average Loss  0.868838, Time  0.462686
2021-09-08 16:52:27.579697 : Epoch  1, Batch   2075, Loss  0.866733, Average Loss  0.868863, Time  0.355350
2021-09-08 16:52:29.228392 : Epoch  1, Batch   2076, Loss  0.877043, Average Loss  0.868758, Time  0.356035
2021-09-08 16:52:30.918137 : Epoch  1, Batch   2077, Loss  0.872967, Average Loss  0.868877, Time  0.404515
2021-09-08 16:52:32.684227 : Epoch  1, Batch   2078, Loss  0.886038, Average Loss  0.868822, Time  0.462422
2021-09-08 16:52:34.344755 : Epoch  1, Batch   2079, Loss  0.878577, Average Loss  0.868802, Time  0.354330
2021-09-08 16:52:35.982709 : Epoch  1, Batch   2080, Loss  0.911045, Average Loss  0.869003, Time  0.354620
2021-09-08 16:52:37.693464 : Epoch  1, Batch   2081, Loss  0.880324, Average Loss  0.869167, Time  0.402956
2021-09-08 16:52:39.468542 : Epoch  1, Batch   2082, Loss  0.883280, Average Loss  0.869251, Time  0.464820
2021-09-08 16:52:41.130921 : Epoch  1, Batch   2083, Loss  0.881538, Average Loss  0.869362, Time  0.355308
2021-09-08 16:52:42.776691 : Epoch  1, Batch   2084, Loss  0.866710, Average Loss  0.869520, Time  0.354087
2021-09-08 16:52:44.463418 : Epoch  1, Batch   2085, Loss  0.860336, Average Loss  0.869250, Time  0.399745
2021-09-08 16:52:46.219605 : Epoch  1, Batch   2086, Loss  0.851236, Average Loss  0.869246, Time  0.462533
2021-09-08 16:52:47.854506 : Epoch  1, Batch   2087, Loss  0.885019, Average Loss  0.869336, Time  0.353146
2021-09-08 16:52:49.504072 : Epoch  1, Batch   2088, Loss  0.865282, Average Loss  0.869448, Time  0.355577
2021-09-08 16:52:51.214877 : Epoch  1, Batch   2089, Loss  0.852746, Average Loss  0.869473, Time  0.398311
2021-09-08 16:52:52.984478 : Epoch  1, Batch   2090, Loss  0.855831, Average Loss  0.869386, Time  0.462015
2021-09-08 16:52:54.647254 : Epoch  1, Batch   2091, Loss  0.886692, Average Loss  0.869553, Time  0.354357
2021-09-08 16:52:56.313613 : Epoch  1, Batch   2092, Loss  0.841482, Average Loss  0.869352, Time  0.355503
2021-09-08 16:52:58.018028 : Epoch  1, Batch   2093, Loss  0.880536, Average Loss  0.869441, Time  0.398502
2021-09-08 16:52:59.790137 : Epoch  1, Batch   2094, Loss  0.888454, Average Loss  0.869523, Time  0.462064
2021-09-08 16:53:01.447888 : Epoch  1, Batch   2095, Loss  0.889057, Average Loss  0.869500, Time  0.355976
2021-09-08 16:53:03.107941 : Epoch  1, Batch   2096, Loss  0.859662, Average Loss  0.869375, Time  0.355531
2021-09-08 16:53:04.802387 : Epoch  1, Batch   2097, Loss  0.851467, Average Loss  0.869244, Time  0.400930
2021-09-08 16:53:06.554094 : Epoch  1, Batch   2098, Loss  0.852989, Average Loss  0.869251, Time  0.465959
2021-09-08 16:53:08.197678 : Epoch  1, Batch   2099, Loss  0.899934, Average Loss  0.869424, Time  0.355067
2021-09-08 16:53:09.836535 : Epoch  1, Batch   2100, Loss  0.865918, Average Loss  0.869422, Time  0.354041
2021-09-08 16:57:42.617295 : CheckPoint: Validation Loss  0.00061722, Best Loss  0.00058797
2021-09-08 16:57:44.283159 : Epoch  1, Batch   2101, Loss  0.887319, Average Loss  0.869526, Time  0.358804
2021-09-08 16:57:45.935480 : Epoch  1, Batch   2102, Loss  0.878941, Average Loss  0.869534, Time  0.355198
2021-09-08 16:57:47.605142 : Epoch  1, Batch   2103, Loss  0.856526, Average Loss  0.869636, Time  0.386491
2021-09-08 16:57:49.354960 : Epoch  1, Batch   2104, Loss  0.850764, Average Loss  0.869550, Time  0.464004
2021-09-08 16:57:50.994166 : Epoch  1, Batch   2105, Loss  0.861745, Average Loss  0.869521, Time  0.354138
2021-09-08 16:57:52.640794 : Epoch  1, Batch   2106, Loss  0.842757, Average Loss  0.869372, Time  0.353444
2021-09-08 16:57:54.322628 : Epoch  1, Batch   2107, Loss  0.857225, Average Loss  0.869288, Time  0.402369
2021-09-08 16:57:56.073147 : Epoch  1, Batch   2108, Loss  0.880748, Average Loss  0.869374, Time  0.462618
2021-09-08 16:57:57.732858 : Epoch  1, Batch   2109, Loss  0.893216, Average Loss  0.869687, Time  0.354309
2021-09-08 16:57:59.393486 : Epoch  1, Batch   2110, Loss  0.892278, Average Loss  0.869819, Time  0.356174
2021-09-08 16:58:01.097358 : Epoch  1, Batch   2111, Loss  0.862957, Average Loss  0.869778, Time  0.401655
2021-09-08 16:58:02.850483 : Epoch  1, Batch   2112, Loss  0.860850, Average Loss  0.869734, Time  0.463871
2021-09-08 16:58:04.493456 : Epoch  1, Batch   2113, Loss  0.853635, Average Loss  0.869742, Time  0.356514
2021-09-08 16:58:06.151650 : Epoch  1, Batch   2114, Loss  0.866465, Average Loss  0.869704, Time  0.355632
2021-09-08 16:58:07.851338 : Epoch  1, Batch   2115, Loss  0.859218, Average Loss  0.869731, Time  0.400085
2021-09-08 16:58:09.612163 : Epoch  1, Batch   2116, Loss  0.876740, Average Loss  0.869873, Time  0.464009
2021-09-08 16:58:11.277383 : Epoch  1, Batch   2117, Loss  0.888101, Average Loss  0.870102, Time  0.355482
2021-09-08 16:58:12.948539 : Epoch  1, Batch   2118, Loss  0.881313, Average Loss  0.870102, Time  0.354311
2021-09-08 16:58:14.649237 : Epoch  1, Batch   2119, Loss  0.866655, Average Loss  0.870069, Time  0.394823
2021-09-08 16:58:16.415785 : Epoch  1, Batch   2120, Loss  0.884151, Average Loss  0.870159, Time  0.462957
2021-09-08 16:58:18.077645 : Epoch  1, Batch   2121, Loss  0.864542, Average Loss  0.870094, Time  0.355428
2021-09-08 16:58:19.732569 : Epoch  1, Batch   2122, Loss  0.848400, Average Loss  0.869941, Time  0.357760
2021-09-08 16:58:21.421472 : Epoch  1, Batch   2123, Loss  0.876917, Average Loss  0.870128, Time  0.403625
2021-09-08 16:58:23.164735 : Epoch  1, Batch   2124, Loss  0.862873, Average Loss  0.870157, Time  0.463430
2021-09-08 16:58:24.798637 : Epoch  1, Batch   2125, Loss  0.844273, Average Loss  0.870123, Time  0.355600
2021-09-08 16:58:26.447294 : Epoch  1, Batch   2126, Loss  0.876398, Average Loss  0.870228, Time  0.355177
2021-09-08 16:58:28.170525 : Epoch  1, Batch   2127, Loss  0.860032, Average Loss  0.870186, Time  0.402056
2021-09-08 16:58:29.962225 : Epoch  1, Batch   2128, Loss  0.885312, Average Loss  0.870241, Time  0.462873
2021-09-08 16:58:31.611819 : Epoch  1, Batch   2129, Loss  0.885746, Average Loss  0.870309, Time  0.358059
2021-09-08 16:58:33.266114 : Epoch  1, Batch   2130, Loss  0.885822, Average Loss  0.870472, Time  0.356309
2021-09-08 16:58:34.974850 : Epoch  1, Batch   2131, Loss  0.879231, Average Loss  0.870503, Time  0.406564
2021-09-08 16:58:36.723165 : Epoch  1, Batch   2132, Loss  0.883663, Average Loss  0.870693, Time  0.464210
2021-09-08 16:58:38.359049 : Epoch  1, Batch   2133, Loss  0.902935, Average Loss  0.870914, Time  0.354800
2021-09-08 16:58:39.996853 : Epoch  1, Batch   2134, Loss  0.852342, Average Loss  0.870878, Time  0.354055
2021-09-08 16:58:41.701090 : Epoch  1, Batch   2135, Loss  0.901397, Average Loss  0.871090, Time  0.408382
2021-09-08 16:58:43.464676 : Epoch  1, Batch   2136, Loss  0.871646, Average Loss  0.871128, Time  0.463600
2021-09-08 16:58:45.123083 : Epoch  1, Batch   2137, Loss  0.905888, Average Loss  0.871358, Time  0.354817
2021-09-08 16:58:46.780332 : Epoch  1, Batch   2138, Loss  0.863455, Average Loss  0.871278, Time  0.355064
2021-09-08 16:58:48.469225 : Epoch  1, Batch   2139, Loss  0.847660, Average Loss  0.871217, Time  0.405449
2021-09-08 16:58:50.230361 : Epoch  1, Batch   2140, Loss  0.884331, Average Loss  0.871363, Time  0.459344
2021-09-08 16:58:51.881166 : Epoch  1, Batch   2141, Loss  0.855657, Average Loss  0.871300, Time  0.354231
2021-09-08 16:58:53.519787 : Epoch  1, Batch   2142, Loss  0.852788, Average Loss  0.871198, Time  0.353427
2021-09-08 16:58:55.216076 : Epoch  1, Batch   2143, Loss  0.906061, Average Loss  0.871480, Time  0.410587
2021-09-08 16:58:56.958845 : Epoch  1, Batch   2144, Loss  0.863122, Average Loss  0.871388, Time  0.464108
2021-09-08 16:58:58.603949 : Epoch  1, Batch   2145, Loss  0.879498, Average Loss  0.871357, Time  0.353786
2021-09-08 16:59:00.246818 : Epoch  1, Batch   2146, Loss  0.887723, Average Loss  0.871617, Time  0.355856
2021-09-08 16:59:01.949335 : Epoch  1, Batch   2147, Loss  0.867599, Average Loss  0.871608, Time  0.407617
2021-09-08 16:59:03.714255 : Epoch  1, Batch   2148, Loss  0.882790, Average Loss  0.871660, Time  0.464444
2021-09-08 16:59:05.370675 : Epoch  1, Batch   2149, Loss  0.880577, Average Loss  0.871697, Time  0.355203
2021-09-08 16:59:07.047076 : Epoch  1, Batch   2150, Loss  0.860348, Average Loss  0.871601, Time  0.354993
2021-09-08 16:59:08.752351 : Epoch  1, Batch   2151, Loss  0.840842, Average Loss  0.871474, Time  0.407565
2021-09-08 16:59:10.518932 : Epoch  1, Batch   2152, Loss  0.866751, Average Loss  0.871361, Time  0.463932
2021-09-08 16:59:12.152159 : Epoch  1, Batch   2153, Loss  0.853795, Average Loss  0.871310, Time  0.354747
2021-09-08 16:59:13.791950 : Epoch  1, Batch   2154, Loss  0.909715, Average Loss  0.871521, Time  0.355802
2021-09-08 16:59:15.478159 : Epoch  1, Batch   2155, Loss  0.870144, Average Loss  0.871676, Time  0.408259
2021-09-08 16:59:17.233709 : Epoch  1, Batch   2156, Loss  0.882333, Average Loss  0.871778, Time  0.463649
2021-09-08 16:59:18.878346 : Epoch  1, Batch   2157, Loss  0.892954, Average Loss  0.871900, Time  0.354333
2021-09-08 16:59:20.516419 : Epoch  1, Batch   2158, Loss  0.841671, Average Loss  0.871869, Time  0.354651
2021-09-08 16:59:22.203792 : Epoch  1, Batch   2159, Loss  0.877754, Average Loss  0.871778, Time  0.397820
2021-09-08 16:59:23.970766 : Epoch  1, Batch   2160, Loss  0.862570, Average Loss  0.871755, Time  0.462943
2021-09-08 16:59:25.612191 : Epoch  1, Batch   2161, Loss  0.894603, Average Loss  0.871733, Time  0.355294
2021-09-08 16:59:27.269504 : Epoch  1, Batch   2162, Loss  0.847131, Average Loss  0.871567, Time  0.356635
2021-09-08 16:59:28.965604 : Epoch  1, Batch   2163, Loss  0.879709, Average Loss  0.871642, Time  0.398410
2021-09-08 16:59:30.723429 : Epoch  1, Batch   2164, Loss  0.877979, Average Loss  0.871656, Time  0.466402
2021-09-08 16:59:32.364929 : Epoch  1, Batch   2165, Loss  0.876719, Average Loss  0.871763, Time  0.354392
2021-09-08 16:59:34.009336 : Epoch  1, Batch   2166, Loss  0.858910, Average Loss  0.871744, Time  0.354264
2021-09-08 16:59:35.694517 : Epoch  1, Batch   2167, Loss  0.904457, Average Loss  0.871919, Time  0.390744
2021-09-08 16:59:37.447223 : Epoch  1, Batch   2168, Loss  0.858887, Average Loss  0.871768, Time  0.463734
2021-09-08 16:59:39.084275 : Epoch  1, Batch   2169, Loss  0.869460, Average Loss  0.871680, Time  0.354603
2021-09-08 16:59:40.722659 : Epoch  1, Batch   2170, Loss  0.882541, Average Loss  0.871692, Time  0.353292
2021-09-08 16:59:42.410744 : Epoch  1, Batch   2171, Loss  0.861328, Average Loss  0.871636, Time  0.397440
2021-09-08 16:59:44.183214 : Epoch  1, Batch   2172, Loss  0.903828, Average Loss  0.871909, Time  0.463583
2021-09-08 16:59:45.833619 : Epoch  1, Batch   2173, Loss  0.851324, Average Loss  0.871687, Time  0.355124
2021-09-08 16:59:47.477418 : Epoch  1, Batch   2174, Loss  0.855576, Average Loss  0.871599, Time  0.354872
2021-09-08 16:59:49.158393 : Epoch  1, Batch   2175, Loss  0.881005, Average Loss  0.871743, Time  0.398113
2021-09-08 16:59:50.908174 : Epoch  1, Batch   2176, Loss  0.852612, Average Loss  0.871616, Time  0.462367
2021-09-08 16:59:52.546165 : Epoch  1, Batch   2177, Loss  0.861026, Average Loss  0.871504, Time  0.353167
2021-09-08 16:59:54.189206 : Epoch  1, Batch   2178, Loss  0.865108, Average Loss  0.871396, Time  0.354588
2021-09-08 16:59:55.871664 : Epoch  1, Batch   2179, Loss  0.852244, Average Loss  0.871158, Time  0.402073
2021-09-08 16:59:57.616742 : Epoch  1, Batch   2180, Loss  0.839786, Average Loss  0.871064, Time  0.463015
2021-09-08 16:59:59.257045 : Epoch  1, Batch   2181, Loss  0.853893, Average Loss  0.870927, Time  0.353937
2021-09-08 17:00:00.899611 : Epoch  1, Batch   2182, Loss  0.867136, Average Loss  0.870989, Time  0.354320
2021-09-08 17:00:02.584736 : Epoch  1, Batch   2183, Loss  0.853205, Average Loss  0.870939, Time  0.404125
2021-09-08 17:00:04.354461 : Epoch  1, Batch   2184, Loss  0.879411, Average Loss  0.871103, Time  0.463397
2021-09-08 17:00:06.014305 : Epoch  1, Batch   2185, Loss  0.903259, Average Loss  0.871187, Time  0.353874
2021-09-08 17:00:07.669464 : Epoch  1, Batch   2186, Loss  0.883621, Average Loss  0.871163, Time  0.355582
2021-09-08 17:00:09.356682 : Epoch  1, Batch   2187, Loss  0.860713, Average Loss  0.871105, Time  0.398938
2021-09-08 17:00:11.107740 : Epoch  1, Batch   2188, Loss  0.853534, Average Loss  0.870977, Time  0.465171
2021-09-08 17:00:12.742082 : Epoch  1, Batch   2189, Loss  0.859587, Average Loss  0.870938, Time  0.353687
2021-09-08 17:00:14.380218 : Epoch  1, Batch   2190, Loss  0.879885, Average Loss  0.870918, Time  0.355978
2021-09-08 17:00:16.069953 : Epoch  1, Batch   2191, Loss  0.868992, Average Loss  0.870795, Time  0.400550
2021-09-08 17:00:17.818000 : Epoch  1, Batch   2192, Loss  0.904168, Average Loss  0.870979, Time  0.463689
2021-09-08 17:00:19.468793 : Epoch  1, Batch   2193, Loss  0.885351, Average Loss  0.870986, Time  0.355747
2021-09-08 17:00:21.127044 : Epoch  1, Batch   2194, Loss  0.870629, Average Loss  0.871075, Time  0.355061
2021-09-08 17:00:22.822843 : Epoch  1, Batch   2195, Loss  0.884183, Average Loss  0.871067, Time  0.398386
2021-09-08 17:00:24.566354 : Epoch  1, Batch   2196, Loss  0.888049, Average Loss  0.871004, Time  0.461776
2021-09-08 17:00:26.207042 : Epoch  1, Batch   2197, Loss  0.862305, Average Loss  0.870890, Time  0.354262
2021-09-08 17:00:27.843902 : Epoch  1, Batch   2198, Loss  0.834658, Average Loss  0.870690, Time  0.355065
2021-09-08 17:00:29.533957 : Epoch  1, Batch   2199, Loss  0.874064, Average Loss  0.870762, Time  0.403229
2021-09-08 17:00:31.287753 : Epoch  1, Batch   2200, Loss  0.849660, Average Loss  0.870655, Time  0.463824
2021-09-08 17:05:04.909757 : CheckPoint: Validation Loss  0.00061762, Best Loss  0.00058797
2021-09-08 17:05:06.570143 : Epoch  1, Batch   2201, Loss  0.875302, Average Loss  0.870605, Time  0.358108
2021-09-08 17:05:08.294711 : Epoch  1, Batch   2202, Loss  0.856947, Average Loss  0.870626, Time  0.423701
2021-09-08 17:05:10.054357 : Epoch  1, Batch   2203, Loss  0.862799, Average Loss  0.870567, Time  0.462133
2021-09-08 17:05:11.708234 : Epoch  1, Batch   2204, Loss  0.896024, Average Loss  0.870626, Time  0.354730
2021-09-08 17:05:13.363012 : Epoch  1, Batch   2205, Loss  0.898822, Average Loss  0.870769, Time  0.357001
2021-09-08 17:05:15.057948 : Epoch  1, Batch   2206, Loss  0.849308, Average Loss  0.870735, Time  0.400695
2021-09-08 17:05:16.807258 : Epoch  1, Batch   2207, Loss  0.832087, Average Loss  0.870623, Time  0.462572
2021-09-08 17:05:18.460874 : Epoch  1, Batch   2208, Loss  0.862034, Average Loss  0.870616, Time  0.358040
2021-09-08 17:05:20.121954 : Epoch  1, Batch   2209, Loss  0.881012, Average Loss  0.870640, Time  0.356705
2021-09-08 17:05:21.814021 : Epoch  1, Batch   2210, Loss  0.844220, Average Loss  0.870636, Time  0.401293
2021-09-08 17:05:23.575082 : Epoch  1, Batch   2211, Loss  0.872897, Average Loss  0.870715, Time  0.464904
2021-09-08 17:05:25.232848 : Epoch  1, Batch   2212, Loss  0.873333, Average Loss  0.870807, Time  0.357409
2021-09-08 17:05:26.881400 : Epoch  1, Batch   2213, Loss  0.901927, Average Loss  0.871040, Time  0.355528
2021-09-08 17:05:28.559987 : Epoch  1, Batch   2214, Loss  0.837023, Average Loss  0.870951, Time  0.395278
2021-09-08 17:05:30.323722 : Epoch  1, Batch   2215, Loss  0.892644, Average Loss  0.871136, Time  0.464162
2021-09-08 17:05:32.195081 : Epoch  1, Batch   2216, Loss  0.892136, Average Loss  0.871150, Time  0.459456
2021-09-08 17:05:33.827588 : Epoch  1, Batch   2217, Loss  0.881747, Average Loss  0.871164, Time  0.357184
2021-09-08 17:05:35.462773 : Epoch  1, Batch   2218, Loss  0.873191, Average Loss  0.871200, Time  0.355744
2021-09-08 17:05:37.177590 : Epoch  1, Batch   2219, Loss  0.846766, Average Loss  0.871209, Time  0.418371
2021-09-08 17:05:38.927288 : Epoch  1, Batch   2220, Loss  0.883784, Average Loss  0.871380, Time  0.464642
2021-09-08 17:05:40.596875 : Epoch  1, Batch   2221, Loss  0.842844, Average Loss  0.871392, Time  0.357267
2021-09-08 17:05:42.269741 : Epoch  1, Batch   2222, Loss  0.856121, Average Loss  0.871246, Time  0.355014
2021-09-08 17:05:43.972111 : Epoch  1, Batch   2223, Loss  0.847574, Average Loss  0.871180, Time  0.395687
2021-09-08 17:05:45.728561 : Epoch  1, Batch   2224, Loss  0.835078, Average Loss  0.871092, Time  0.463453
2021-09-08 17:05:47.383792 : Epoch  1, Batch   2225, Loss  0.837661, Average Loss  0.870797, Time  0.354967
2021-09-08 17:05:49.021647 : Epoch  1, Batch   2226, Loss  0.905704, Average Loss  0.870842, Time  0.354027
2021-09-08 17:05:50.711562 : Epoch  1, Batch   2227, Loss  0.861775, Average Loss  0.870900, Time  0.396321
2021-09-08 17:05:52.468780 : Epoch  1, Batch   2228, Loss  0.879284, Average Loss  0.870912, Time  0.465274
2021-09-08 17:05:54.104948 : Epoch  1, Batch   2229, Loss  0.860852, Average Loss  0.870853, Time  0.356097
2021-09-08 17:05:55.742982 : Epoch  1, Batch   2230, Loss  0.891047, Average Loss  0.870907, Time  0.354918
2021-09-08 17:05:57.412551 : Epoch  1, Batch   2231, Loss  0.867596, Average Loss  0.870924, Time  0.389078
2021-09-08 17:05:59.164644 : Epoch  1, Batch   2232, Loss  0.865503, Average Loss  0.870770, Time  0.463118
2021-09-08 17:06:00.796427 : Epoch  1, Batch   2233, Loss  0.860058, Average Loss  0.870742, Time  0.355058
2021-09-08 17:06:02.453303 : Epoch  1, Batch   2234, Loss  0.893078, Average Loss  0.870857, Time  0.355555
2021-09-08 17:06:04.155554 : Epoch  1, Batch   2235, Loss  0.856424, Average Loss  0.870738, Time  0.395749
2021-09-08 17:06:05.926660 : Epoch  1, Batch   2236, Loss  0.855869, Average Loss  0.870687, Time  0.462355
2021-09-08 17:06:07.585110 : Epoch  1, Batch   2237, Loss  0.855066, Average Loss  0.870542, Time  0.354067
2021-09-08 17:06:09.241411 : Epoch  1, Batch   2238, Loss  0.868788, Average Loss  0.870601, Time  0.353515
2021-09-08 17:06:10.943559 : Epoch  1, Batch   2239, Loss  0.873326, Average Loss  0.870658, Time  0.397563
2021-09-08 17:06:12.712451 : Epoch  1, Batch   2240, Loss  0.869948, Average Loss  0.870741, Time  0.462718
2021-09-08 17:06:14.371333 : Epoch  1, Batch   2241, Loss  0.836748, Average Loss  0.870467, Time  0.356754
2021-09-08 17:06:16.028779 : Epoch  1, Batch   2242, Loss  0.826170, Average Loss  0.870308, Time  0.354008
2021-09-08 17:06:17.731788 : Epoch  1, Batch   2243, Loss  0.883435, Average Loss  0.870294, Time  0.394680
2021-09-08 17:06:19.498623 : Epoch  1, Batch   2244, Loss  0.896912, Average Loss  0.870527, Time  0.463980
2021-09-08 17:06:21.149334 : Epoch  1, Batch   2245, Loss  0.892776, Average Loss  0.870589, Time  0.356302
2021-09-08 17:06:22.790427 : Epoch  1, Batch   2246, Loss  0.858610, Average Loss  0.870494, Time  0.355564
2021-09-08 17:06:24.491938 : Epoch  1, Batch   2247, Loss  0.868039, Average Loss  0.870498, Time  0.396206
2021-09-08 17:06:26.249402 : Epoch  1, Batch   2248, Loss  0.884942, Average Loss  0.870573, Time  0.464823
2021-09-08 17:06:27.878095 : Epoch  1, Batch   2249, Loss  0.879511, Average Loss  0.870645, Time  0.353823
2021-09-08 17:06:29.528651 : Epoch  1, Batch   2250, Loss  0.898855, Average Loss  0.870876, Time  0.354676
2021-09-08 17:06:31.231704 : Epoch  1, Batch   2251, Loss  0.884105, Average Loss  0.870880, Time  0.397959
2021-09-08 17:06:32.995679 : Epoch  1, Batch   2252, Loss  0.874378, Average Loss  0.870726, Time  0.463693
2021-09-08 17:06:34.652802 : Epoch  1, Batch   2253, Loss  0.843835, Average Loss  0.870560, Time  0.354631
2021-09-08 17:06:36.309417 : Epoch  1, Batch   2254, Loss  0.871140, Average Loss  0.870587, Time  0.354895
2021-09-08 17:06:37.993660 : Epoch  1, Batch   2255, Loss  0.853422, Average Loss  0.870527, Time  0.395049
2021-09-08 17:06:39.743260 : Epoch  1, Batch   2256, Loss  0.848929, Average Loss  0.870484, Time  0.465257
2021-09-08 17:06:41.378970 : Epoch  1, Batch   2257, Loss  0.859908, Average Loss  0.870374, Time  0.354981
2021-09-08 17:06:43.012736 : Epoch  1, Batch   2258, Loss  0.886509, Average Loss  0.870455, Time  0.354109
2021-09-08 17:06:44.696563 : Epoch  1, Batch   2259, Loss  0.890267, Average Loss  0.870681, Time  0.394890
2021-09-08 17:06:46.445346 : Epoch  1, Batch   2260, Loss  0.886323, Average Loss  0.870869, Time  0.464988
2021-09-08 17:06:48.087417 : Epoch  1, Batch   2261, Loss  0.870683, Average Loss  0.870864, Time  0.355551
2021-09-08 17:06:49.723621 : Epoch  1, Batch   2262, Loss  0.843024, Average Loss  0.870725, Time  0.355835
2021-09-08 17:06:51.434421 : Epoch  1, Batch   2263, Loss  0.864064, Average Loss  0.870779, Time  0.386007
2021-09-08 17:06:53.201516 : Epoch  1, Batch   2264, Loss  0.870501, Average Loss  0.870743, Time  0.462104
2021-09-08 17:06:54.856262 : Epoch  1, Batch   2265, Loss  0.838892, Average Loss  0.870543, Time  0.357015
2021-09-08 17:06:56.517694 : Epoch  1, Batch   2266, Loss  0.868268, Average Loss  0.870412, Time  0.354887
2021-09-08 17:06:58.217207 : Epoch  1, Batch   2267, Loss  0.882818, Average Loss  0.870426, Time  0.397620
2021-09-08 17:06:59.969622 : Epoch  1, Batch   2268, Loss  0.854867, Average Loss  0.870116, Time  0.465603
2021-09-08 17:07:01.610032 : Epoch  1, Batch   2269, Loss  0.867977, Average Loss  0.870254, Time  0.355670
2021-09-08 17:07:03.268462 : Epoch  1, Batch   2270, Loss  0.886880, Average Loss  0.870303, Time  0.355263
2021-09-08 17:07:04.960636 : Epoch  1, Batch   2271, Loss  0.888176, Average Loss  0.870443, Time  0.389135
2021-09-08 17:07:06.735424 : Epoch  1, Batch   2272, Loss  0.904829, Average Loss  0.870631, Time  0.464875
2021-09-08 17:07:08.372279 : Epoch  1, Batch   2273, Loss  0.869269, Average Loss  0.870583, Time  0.354620
2021-09-08 17:07:10.002458 : Epoch  1, Batch   2274, Loss  0.882427, Average Loss  0.870578, Time  0.354088
2021-09-08 17:07:11.692641 : Epoch  1, Batch   2275, Loss  0.872151, Average Loss  0.870605, Time  0.392277
2021-09-08 17:07:13.456800 : Epoch  1, Batch   2276, Loss  0.875029, Average Loss  0.870595, Time  0.462849
2021-09-08 17:07:15.111402 : Epoch  1, Batch   2277, Loss  0.893311, Average Loss  0.870697, Time  0.354260
2021-09-08 17:07:16.762475 : Epoch  1, Batch   2278, Loss  0.839902, Average Loss  0.870466, Time  0.355216
2021-09-08 17:07:18.435632 : Epoch  1, Batch   2279, Loss  0.885794, Average Loss  0.870503, Time  0.399295
2021-09-08 17:07:20.175035 : Epoch  1, Batch   2280, Loss  0.853480, Average Loss  0.870215, Time  0.462545
2021-09-08 17:07:21.805623 : Epoch  1, Batch   2281, Loss  0.896392, Average Loss  0.870295, Time  0.354652
2021-09-08 17:07:23.443491 : Epoch  1, Batch   2282, Loss  0.872612, Average Loss  0.870242, Time  0.354201
2021-09-08 17:07:25.119637 : Epoch  1, Batch   2283, Loss  0.861799, Average Loss  0.870143, Time  0.400693
2021-09-08 17:07:26.868645 : Epoch  1, Batch   2284, Loss  0.851980, Average Loss  0.870069, Time  0.463315
2021-09-08 17:07:28.504754 : Epoch  1, Batch   2285, Loss  0.880229, Average Loss  0.870169, Time  0.355043
2021-09-08 17:07:30.154351 : Epoch  1, Batch   2286, Loss  0.896551, Average Loss  0.870395, Time  0.356097
2021-09-08 17:07:31.848146 : Epoch  1, Batch   2287, Loss  0.857995, Average Loss  0.870260, Time  0.403986
2021-09-08 17:07:33.608651 : Epoch  1, Batch   2288, Loss  0.869111, Average Loss  0.870279, Time  0.464034
2021-09-08 17:07:35.265083 : Epoch  1, Batch   2289, Loss  0.876138, Average Loss  0.870396, Time  0.355720
2021-09-08 17:07:36.920496 : Epoch  1, Batch   2290, Loss  0.915971, Average Loss  0.870697, Time  0.355305
2021-09-08 17:07:38.610455 : Epoch  1, Batch   2291, Loss  0.899215, Average Loss  0.870760, Time  0.400085
2021-09-08 17:07:40.359442 : Epoch  1, Batch   2292, Loss  0.876647, Average Loss  0.870936, Time  0.463409
2021-09-08 17:07:42.017173 : Epoch  1, Batch   2293, Loss  0.871436, Average Loss  0.870890, Time  0.354823
2021-09-08 17:07:43.666948 : Epoch  1, Batch   2294, Loss  0.892770, Average Loss  0.870912, Time  0.356056
2021-09-08 17:07:45.373036 : Epoch  1, Batch   2295, Loss  0.906048, Average Loss  0.870997, Time  0.402131
2021-09-08 17:07:47.139580 : Epoch  1, Batch   2296, Loss  0.846959, Average Loss  0.870933, Time  0.463310
2021-09-08 17:07:48.798829 : Epoch  1, Batch   2297, Loss  0.881787, Average Loss  0.871085, Time  0.355713
2021-09-08 17:07:50.451380 : Epoch  1, Batch   2298, Loss  0.885407, Average Loss  0.871247, Time  0.354505
2021-09-08 17:07:52.140116 : Epoch  1, Batch   2299, Loss  0.873492, Average Loss  0.871115, Time  0.395271
2021-09-08 17:07:53.898013 : Epoch  1, Batch   2300, Loss  0.859383, Average Loss  0.871082, Time  0.462573
2021-09-08 17:12:25.928408 : CheckPoint: Validation Loss  0.00063277, Best Loss  0.00058797
2021-09-08 17:12:27.592675 : Epoch  1, Batch   2301, Loss  0.851455, Average Loss  0.870903, Time  0.357422
2021-09-08 17:12:29.321031 : Epoch  1, Batch   2302, Loss  0.853246, Average Loss  0.870774, Time  0.418122
2021-09-08 17:12:31.093172 : Epoch  1, Batch   2303, Loss  0.851347, Average Loss  0.870748, Time  0.464628
2021-09-08 17:12:32.754465 : Epoch  1, Batch   2304, Loss  0.908801, Average Loss  0.871038, Time  0.353923
2021-09-08 17:12:34.394673 : Epoch  1, Batch   2305, Loss  0.865818, Average Loss  0.871059, Time  0.354742
2021-09-08 17:12:36.070727 : Epoch  1, Batch   2306, Loss  0.895987, Average Loss  0.871325, Time  0.385737
2021-09-08 17:12:37.824983 : Epoch  1, Batch   2307, Loss  0.851850, Average Loss  0.871298, Time  0.464993
2021-09-08 17:12:39.468044 : Epoch  1, Batch   2308, Loss  0.904356, Average Loss  0.871416, Time  0.353068
2021-09-08 17:12:41.124641 : Epoch  1, Batch   2309, Loss  0.879203, Average Loss  0.871346, Time  0.355859
2021-09-08 17:12:42.824231 : Epoch  1, Batch   2310, Loss  0.864405, Average Loss  0.871207, Time  0.386119
2021-09-08 17:12:44.594716 : Epoch  1, Batch   2311, Loss  0.881810, Average Loss  0.871301, Time  0.462616
2021-09-08 17:12:46.254452 : Epoch  1, Batch   2312, Loss  0.831453, Average Loss  0.871154, Time  0.354179
2021-09-08 17:12:47.901346 : Epoch  1, Batch   2313, Loss  0.849431, Average Loss  0.871133, Time  0.354212
2021-09-08 17:12:49.576134 : Epoch  1, Batch   2314, Loss  0.904496, Average Loss  0.871323, Time  0.382083
2021-09-08 17:12:51.338082 : Epoch  1, Batch   2315, Loss  0.881548, Average Loss  0.871435, Time  0.466560
2021-09-08 17:12:52.978862 : Epoch  1, Batch   2316, Loss  0.882670, Average Loss  0.871464, Time  0.354759
2021-09-08 17:12:54.643979 : Epoch  1, Batch   2317, Loss  0.884023, Average Loss  0.871444, Time  0.355504
2021-09-08 17:12:56.323676 : Epoch  1, Batch   2318, Loss  0.852274, Average Loss  0.871299, Time  0.371226
2021-09-08 17:12:58.084484 : Epoch  1, Batch   2319, Loss  0.905226, Average Loss  0.871492, Time  0.462555
2021-09-08 17:12:59.737366 : Epoch  1, Batch   2320, Loss  0.877611, Average Loss  0.871459, Time  0.353128
2021-09-08 17:13:01.379247 : Epoch  1, Batch   2321, Loss  0.888372, Average Loss  0.871578, Time  0.353174
2021-09-08 17:13:03.075260 : Epoch  1, Batch   2322, Loss  0.876936, Average Loss  0.871721, Time  0.390754
2021-09-08 17:13:04.849589 : Epoch  1, Batch   2323, Loss  0.867591, Average Loss  0.871674, Time  0.464864
2021-09-08 17:13:06.507475 : Epoch  1, Batch   2324, Loss  0.876233, Average Loss  0.871741, Time  0.354258
2021-09-08 17:13:08.147954 : Epoch  1, Batch   2325, Loss  0.879069, Average Loss  0.871915, Time  0.353382
2021-09-08 17:13:09.822041 : Epoch  1, Batch   2326, Loss  0.864296, Average Loss  0.871854, Time  0.387322
2021-09-08 17:13:11.578155 : Epoch  1, Batch   2327, Loss  0.838019, Average Loss  0.871744, Time  0.464377
2021-09-08 17:13:13.233895 : Epoch  1, Batch   2328, Loss  0.865872, Average Loss  0.871647, Time  0.354521
2021-09-08 17:13:14.871621 : Epoch  1, Batch   2329, Loss  0.884446, Average Loss  0.871641, Time  0.354155
2021-09-08 17:13:16.571978 : Epoch  1, Batch   2330, Loss  0.876635, Average Loss  0.871595, Time  0.390782
2021-09-08 17:13:18.344455 : Epoch  1, Batch   2331, Loss  0.878476, Average Loss  0.871591, Time  0.463715
2021-09-08 17:13:20.007452 : Epoch  1, Batch   2332, Loss  0.882946, Average Loss  0.871587, Time  0.355391
2021-09-08 17:13:21.675645 : Epoch  1, Batch   2333, Loss  0.875490, Average Loss  0.871450, Time  0.356483
2021-09-08 17:13:23.368159 : Epoch  1, Batch   2334, Loss  0.877972, Average Loss  0.871578, Time  0.386933
2021-09-08 17:13:25.142090 : Epoch  1, Batch   2335, Loss  0.882971, Average Loss  0.871486, Time  0.463867
2021-09-08 17:13:26.808363 : Epoch  1, Batch   2336, Loss  0.880035, Average Loss  0.871528, Time  0.355403
2021-09-08 17:13:28.446258 : Epoch  1, Batch   2337, Loss  0.874883, Average Loss  0.871373, Time  0.354706
2021-09-08 17:13:30.124845 : Epoch  1, Batch   2338, Loss  0.884190, Average Loss  0.871477, Time  0.386957
2021-09-08 17:13:31.872252 : Epoch  1, Batch   2339, Loss  0.872989, Average Loss  0.871603, Time  0.463570
2021-09-08 17:13:33.510540 : Epoch  1, Batch   2340, Loss  0.877562, Average Loss  0.871569, Time  0.353234
2021-09-08 17:13:35.153182 : Epoch  1, Batch   2341, Loss  0.887470, Average Loss  0.871729, Time  0.354387
2021-09-08 17:13:36.832195 : Epoch  1, Batch   2342, Loss  0.858472, Average Loss  0.871757, Time  0.398466
2021-09-08 17:13:38.585764 : Epoch  1, Batch   2343, Loss  0.870473, Average Loss  0.871579, Time  0.464108
2021-09-08 17:13:40.248558 : Epoch  1, Batch   2344, Loss  0.832669, Average Loss  0.871427, Time  0.355437
2021-09-08 17:13:41.907308 : Epoch  1, Batch   2345, Loss  0.858134, Average Loss  0.871320, Time  0.354959
2021-09-08 17:13:43.586455 : Epoch  1, Batch   2346, Loss  0.871037, Average Loss  0.871237, Time  0.394499
2021-09-08 17:13:45.336717 : Epoch  1, Batch   2347, Loss  0.855333, Average Loss  0.871175, Time  0.463362
2021-09-08 17:13:46.992746 : Epoch  1, Batch   2348, Loss  0.873140, Average Loss  0.871127, Time  0.354380
2021-09-08 17:13:48.651177 : Epoch  1, Batch   2349, Loss  0.877861, Average Loss  0.871113, Time  0.354777
2021-09-08 17:13:50.349467 : Epoch  1, Batch   2350, Loss  0.895022, Average Loss  0.871287, Time  0.398794
2021-09-08 17:13:52.114792 : Epoch  1, Batch   2351, Loss  0.864795, Average Loss  0.871406, Time  0.464975
2021-09-08 17:13:53.752972 : Epoch  1, Batch   2352, Loss  0.835969, Average Loss  0.871253, Time  0.353746
2021-09-08 17:13:55.397409 : Epoch  1, Batch   2353, Loss  0.884054, Average Loss  0.871404, Time  0.353606
2021-09-08 17:13:57.070461 : Epoch  1, Batch   2354, Loss  0.829735, Average Loss  0.871004, Time  0.391066
2021-09-08 17:13:58.812159 : Epoch  1, Batch   2355, Loss  0.878455, Average Loss  0.871046, Time  0.463573
2021-09-08 17:14:00.452756 : Epoch  1, Batch   2356, Loss  0.897676, Average Loss  0.871122, Time  0.356000
2021-09-08 17:14:02.086373 : Epoch  1, Batch   2357, Loss  0.853920, Average Loss  0.870927, Time  0.352824
2021-09-08 17:14:03.770350 : Epoch  1, Batch   2358, Loss  0.856612, Average Loss  0.871002, Time  0.397395
2021-09-08 17:14:05.534714 : Epoch  1, Batch   2359, Loss  0.875147, Average Loss  0.870989, Time  0.464259
2021-09-08 17:14:07.193456 : Epoch  1, Batch   2360, Loss  0.860603, Average Loss  0.870979, Time  0.354507
2021-09-08 17:14:08.837350 : Epoch  1, Batch   2361, Loss  0.878955, Average Loss  0.870901, Time  0.355330
2021-09-08 17:14:10.529489 : Epoch  1, Batch   2362, Loss  0.885469, Average Loss  0.871092, Time  0.396154
2021-09-08 17:14:12.284210 : Epoch  1, Batch   2363, Loss  0.851790, Average Loss  0.870953, Time  0.465280
2021-09-08 17:14:13.942474 : Epoch  1, Batch   2364, Loss  0.885686, Average Loss  0.870991, Time  0.354153
2021-09-08 17:14:15.594543 : Epoch  1, Batch   2365, Loss  0.881944, Average Loss  0.871017, Time  0.353989
2021-09-08 17:14:17.278732 : Epoch  1, Batch   2366, Loss  0.890192, Average Loss  0.871174, Time  0.387951
2021-09-08 17:14:19.030866 : Epoch  1, Batch   2367, Loss  0.850284, Average Loss  0.870903, Time  0.464498
2021-09-08 17:14:20.683147 : Epoch  1, Batch   2368, Loss  0.879203, Average Loss  0.871005, Time  0.355087
2021-09-08 17:14:22.342345 : Epoch  1, Batch   2369, Loss  0.891246, Average Loss  0.871113, Time  0.355465
2021-09-08 17:14:24.009038 : Epoch  1, Batch   2370, Loss  0.869516, Average Loss  0.871048, Time  0.379441
2021-09-08 17:14:25.773795 : Epoch  1, Batch   2371, Loss  0.884899, Average Loss  0.871166, Time  0.466428
2021-09-08 17:14:27.431615 : Epoch  1, Batch   2372, Loss  0.846432, Average Loss  0.870879, Time  0.355462
2021-09-08 17:14:29.088024 : Epoch  1, Batch   2373, Loss  0.850237, Average Loss  0.870874, Time  0.358001
2021-09-08 17:14:30.766678 : Epoch  1, Batch   2374, Loss  0.878636, Average Loss  0.870989, Time  0.374655
2021-09-08 17:14:32.520516 : Epoch  1, Batch   2375, Loss  0.854510, Average Loss  0.870857, Time  0.462722
2021-09-08 17:14:34.168639 : Epoch  1, Batch   2376, Loss  0.885350, Average Loss  0.871020, Time  0.352793
2021-09-08 17:14:35.834701 : Epoch  1, Batch   2377, Loss  0.861724, Average Loss  0.871024, Time  0.355729
2021-09-08 17:14:37.507374 : Epoch  1, Batch   2378, Loss  0.888250, Average Loss  0.871140, Time  0.378811
2021-09-08 17:14:39.283415 : Epoch  1, Batch   2379, Loss  0.865726, Average Loss  0.871207, Time  0.464080
2021-09-08 17:14:40.949266 : Epoch  1, Batch   2380, Loss  0.832218, Average Loss  0.871169, Time  0.355010
2021-09-08 17:14:42.595832 : Epoch  1, Batch   2381, Loss  0.869770, Average Loss  0.871248, Time  0.356388
2021-09-08 17:14:44.271687 : Epoch  1, Batch   2382, Loss  0.865483, Average Loss  0.871240, Time  0.375812
2021-09-08 17:14:46.042906 : Epoch  1, Batch   2383, Loss  0.866305, Average Loss  0.871306, Time  0.462211
2021-09-08 17:14:47.690419 : Epoch  1, Batch   2384, Loss  0.880935, Average Loss  0.871313, Time  0.354463
2021-09-08 17:14:49.345699 : Epoch  1, Batch   2385, Loss  0.877144, Average Loss  0.871183, Time  0.357916
2021-09-08 17:14:51.019502 : Epoch  1, Batch   2386, Loss  0.860290, Average Loss  0.871066, Time  0.376846
2021-09-08 17:14:52.785371 : Epoch  1, Batch   2387, Loss  0.876307, Average Loss  0.871144, Time  0.464379
2021-09-08 17:14:54.451095 : Epoch  1, Batch   2388, Loss  0.885832, Average Loss  0.871306, Time  0.356224
2021-09-08 17:14:56.102520 : Epoch  1, Batch   2389, Loss  0.838533, Average Loss  0.871200, Time  0.355293
2021-09-08 17:14:57.776637 : Epoch  1, Batch   2390, Loss  0.862943, Average Loss  0.871116, Time  0.379024
2021-09-08 17:14:59.550577 : Epoch  1, Batch   2391, Loss  0.896887, Average Loss  0.871255, Time  0.464400
2021-09-08 17:15:01.198111 : Epoch  1, Batch   2392, Loss  0.848057, Average Loss  0.870975, Time  0.353746
2021-09-08 17:15:02.844281 : Epoch  1, Batch   2393, Loss  0.846928, Average Loss  0.870782, Time  0.354603
2021-09-08 17:15:04.526526 : Epoch  1, Batch   2394, Loss  0.872756, Average Loss  0.870793, Time  0.381721
2021-09-08 17:15:06.291270 : Epoch  1, Batch   2395, Loss  0.919970, Average Loss  0.870972, Time  0.466200
2021-09-08 17:15:07.941644 : Epoch  1, Batch   2396, Loss  0.870206, Average Loss  0.870883, Time  0.355674
2021-09-08 17:15:09.609351 : Epoch  1, Batch   2397, Loss  0.885187, Average Loss  0.870997, Time  0.356434
2021-09-08 17:15:11.290358 : Epoch  1, Batch   2398, Loss  0.880473, Average Loss  0.871226, Time  0.370872
2021-09-08 17:15:13.052487 : Epoch  1, Batch   2399, Loss  0.894456, Average Loss  0.871328, Time  0.466012
2021-09-08 17:15:14.696733 : Epoch  1, Batch   2400, Loss  0.858470, Average Loss  0.871372, Time  0.348247
2021-09-08 17:19:46.750224 : CheckPoint: Validation Loss  0.00063609, Best Loss  0.00058797
2021-09-08 17:19:48.419631 : Epoch  1, Batch   2401, Loss  0.885233, Average Loss  0.871422, Time  0.360197
2021-09-08 17:19:50.149316 : Epoch  1, Batch   2402, Loss  0.900775, Average Loss  0.871641, Time  0.416375
2021-09-08 17:19:51.923015 : Epoch  1, Batch   2403, Loss  0.895238, Average Loss  0.871803, Time  0.462270
2021-09-08 17:19:53.562779 : Epoch  1, Batch   2404, Loss  0.852154, Average Loss  0.871584, Time  0.355741
2021-09-08 17:19:55.218646 : Epoch  1, Batch   2405, Loss  0.871279, Average Loss  0.871446, Time  0.354684
2021-09-08 17:19:56.917506 : Epoch  1, Batch   2406, Loss  0.884366, Average Loss  0.871621, Time  0.394647
2021-09-08 17:19:58.678434 : Epoch  1, Batch   2407, Loss  0.881907, Average Loss  0.871871, Time  0.463556
2021-09-08 17:20:00.315847 : Epoch  1, Batch   2408, Loss  0.869774, Average Loss  0.871909, Time  0.355106
2021-09-08 17:20:01.974994 : Epoch  1, Batch   2409, Loss  0.877217, Average Loss  0.871890, Time  0.354595
2021-09-08 17:20:03.662726 : Epoch  1, Batch   2410, Loss  0.861835, Average Loss  0.871978, Time  0.395471
2021-09-08 17:20:05.423863 : Epoch  1, Batch   2411, Loss  0.806596, Average Loss  0.871647, Time  0.463413
2021-09-08 17:20:07.125344 : Epoch  1, Batch   2412, Loss  0.865168, Average Loss  0.871606, Time  0.355517
2021-09-08 17:20:08.782964 : Epoch  1, Batch   2413, Loss  0.873733, Average Loss  0.871465, Time  0.355545
2021-09-08 17:20:10.484764 : Epoch  1, Batch   2414, Loss  0.854822, Average Loss  0.871554, Time  0.396230
2021-09-08 17:20:12.256281 : Epoch  1, Batch   2415, Loss  0.868569, Average Loss  0.871434, Time  0.462078
2021-09-08 17:20:13.912080 : Epoch  1, Batch   2416, Loss  0.873054, Average Loss  0.871338, Time  0.355340
2021-09-08 17:20:15.569836 : Epoch  1, Batch   2417, Loss  0.861692, Average Loss  0.871238, Time  0.356066
2021-09-08 17:20:17.272333 : Epoch  1, Batch   2418, Loss  0.914460, Average Loss  0.871444, Time  0.399396
2021-09-08 17:20:19.050689 : Epoch  1, Batch   2419, Loss  0.901768, Average Loss  0.871719, Time  0.467641
2021-09-08 17:20:20.701817 : Epoch  1, Batch   2420, Loss  0.862846, Average Loss  0.871615, Time  0.355685
2021-09-08 17:20:22.347382 : Epoch  1, Batch   2421, Loss  0.888650, Average Loss  0.871844, Time  0.358488
2021-09-08 17:20:24.028022 : Epoch  1, Batch   2422, Loss  0.891905, Average Loss  0.872023, Time  0.389426
2021-09-08 17:20:25.788830 : Epoch  1, Batch   2423, Loss  0.867851, Average Loss  0.872124, Time  0.466695
2021-09-08 17:20:27.429303 : Epoch  1, Batch   2424, Loss  0.877568, Average Loss  0.872336, Time  0.355464
2021-09-08 17:20:29.090823 : Epoch  1, Batch   2425, Loss  0.861340, Average Loss  0.872455, Time  0.355408
2021-09-08 17:20:30.793813 : Epoch  1, Batch   2426, Loss  0.860493, Average Loss  0.872229, Time  0.393571
2021-09-08 17:20:32.549269 : Epoch  1, Batch   2427, Loss  0.880314, Average Loss  0.872321, Time  0.462487
2021-09-08 17:20:34.187706 : Epoch  1, Batch   2428, Loss  0.858955, Average Loss  0.872220, Time  0.354423
2021-09-08 17:20:35.832756 : Epoch  1, Batch   2429, Loss  0.901539, Average Loss  0.872423, Time  0.356178
2021-09-08 17:20:37.532488 : Epoch  1, Batch   2430, Loss  0.860861, Average Loss  0.872272, Time  0.398160
2021-09-08 17:20:39.304999 : Epoch  1, Batch   2431, Loss  0.862255, Average Loss  0.872246, Time  0.463772
2021-09-08 17:20:40.969535 : Epoch  1, Batch   2432, Loss  0.880926, Average Loss  0.872323, Time  0.355105
2021-09-08 17:20:42.622450 : Epoch  1, Batch   2433, Loss  0.884284, Average Loss  0.872444, Time  0.354703
2021-09-08 17:20:44.325781 : Epoch  1, Batch   2434, Loss  0.816713, Average Loss  0.872062, Time  0.403499
2021-09-08 17:20:46.101561 : Epoch  1, Batch   2435, Loss  0.884855, Average Loss  0.872204, Time  0.462377
2021-09-08 17:20:47.771623 : Epoch  1, Batch   2436, Loss  0.878432, Average Loss  0.872317, Time  0.355096
2021-09-08 17:20:49.436614 : Epoch  1, Batch   2437, Loss  0.865635, Average Loss  0.872370, Time  0.354217
2021-09-08 17:20:51.136841 : Epoch  1, Batch   2438, Loss  0.870765, Average Loss  0.872380, Time  0.391052
2021-09-08 17:20:52.917991 : Epoch  1, Batch   2439, Loss  0.873773, Average Loss  0.872382, Time  0.464411
2021-09-08 17:20:54.561858 : Epoch  1, Batch   2440, Loss  0.898837, Average Loss  0.872526, Time  0.354450
2021-09-08 17:20:56.209978 : Epoch  1, Batch   2441, Loss  0.829194, Average Loss  0.872489, Time  0.354008
2021-09-08 17:20:57.890600 : Epoch  1, Batch   2442, Loss  0.841158, Average Loss  0.872564, Time  0.386994
2021-09-08 17:20:59.642492 : Epoch  1, Batch   2443, Loss  0.855442, Average Loss  0.872424, Time  0.462235
2021-09-08 17:21:01.282838 : Epoch  1, Batch   2444, Loss  0.871550, Average Loss  0.872297, Time  0.353894
2021-09-08 17:21:02.929670 : Epoch  1, Batch   2445, Loss  0.874208, Average Loss  0.872204, Time  0.354016
2021-09-08 17:21:04.627877 : Epoch  1, Batch   2446, Loss  0.873209, Average Loss  0.872277, Time  0.394959
2021-09-08 17:21:06.383985 : Epoch  1, Batch   2447, Loss  0.858147, Average Loss  0.872228, Time  0.463679
2021-09-08 17:21:08.028976 : Epoch  1, Batch   2448, Loss  0.915556, Average Loss  0.872381, Time  0.354207
2021-09-08 17:21:09.671644 : Epoch  1, Batch   2449, Loss  0.835100, Average Loss  0.872159, Time  0.354362
2021-09-08 17:21:11.358161 : Epoch  1, Batch   2450, Loss  0.861560, Average Loss  0.871972, Time  0.388569
2021-09-08 17:21:13.107728 : Epoch  1, Batch   2451, Loss  0.855356, Average Loss  0.871828, Time  0.462525
2021-09-08 17:21:14.752443 : Epoch  1, Batch   2452, Loss  0.836918, Average Loss  0.871641, Time  0.355157
2021-09-08 17:21:16.402147 : Epoch  1, Batch   2453, Loss  0.874997, Average Loss  0.871797, Time  0.353965
2021-09-08 17:21:18.073148 : Epoch  1, Batch   2454, Loss  0.871431, Average Loss  0.871798, Time  0.386436
2021-09-08 17:21:19.907868 : Epoch  1, Batch   2455, Loss  0.861719, Average Loss  0.871840, Time  0.461652
2021-09-08 17:21:21.593185 : Epoch  1, Batch   2456, Loss  0.877457, Average Loss  0.871982, Time  0.356005
2021-09-08 17:21:23.272089 : Epoch  1, Batch   2457, Loss  0.848829, Average Loss  0.871927, Time  0.354791
2021-09-08 17:21:24.970206 : Epoch  1, Batch   2458, Loss  0.866709, Average Loss  0.871828, Time  0.392526
2021-09-08 17:21:26.727326 : Epoch  1, Batch   2459, Loss  0.836750, Average Loss  0.871560, Time  0.463552
2021-09-08 17:21:28.388062 : Epoch  1, Batch   2460, Loss  0.883209, Average Loss  0.871545, Time  0.355068
2021-09-08 17:21:30.058689 : Epoch  1, Batch   2461, Loss  0.859043, Average Loss  0.871487, Time  0.356888
2021-09-08 17:21:31.754675 : Epoch  1, Batch   2462, Loss  0.869658, Average Loss  0.871620, Time  0.384550
2021-09-08 17:21:33.532984 : Epoch  1, Batch   2463, Loss  0.875539, Average Loss  0.871677, Time  0.460523
2021-09-08 17:21:35.197577 : Epoch  1, Batch   2464, Loss  0.879777, Average Loss  0.871724, Time  0.354935
2021-09-08 17:21:36.863869 : Epoch  1, Batch   2465, Loss  0.853275, Average Loss  0.871795, Time  0.355587
2021-09-08 17:21:38.572542 : Epoch  1, Batch   2466, Loss  0.878235, Average Loss  0.871845, Time  0.390951
2021-09-08 17:21:40.333738 : Epoch  1, Batch   2467, Loss  0.867323, Average Loss  0.871768, Time  0.464561
2021-09-08 17:21:41.985348 : Epoch  1, Batch   2468, Loss  0.860202, Average Loss  0.871795, Time  0.353652
2021-09-08 17:21:43.646444 : Epoch  1, Batch   2469, Loss  0.888155, Average Loss  0.871895, Time  0.352182
2021-09-08 17:21:45.342801 : Epoch  1, Batch   2470, Loss  0.871391, Average Loss  0.871818, Time  0.392027
2021-09-08 17:21:47.118961 : Epoch  1, Batch   2471, Loss  0.870315, Average Loss  0.871729, Time  0.462974
2021-09-08 17:21:48.794134 : Epoch  1, Batch   2472, Loss  0.868166, Average Loss  0.871545, Time  0.355252
2021-09-08 17:21:50.464974 : Epoch  1, Batch   2473, Loss  0.892562, Average Loss  0.871662, Time  0.354388
2021-09-08 17:21:52.158083 : Epoch  1, Batch   2474, Loss  0.862777, Average Loss  0.871564, Time  0.386725
2021-09-08 17:21:53.927657 : Epoch  1, Batch   2475, Loss  0.845074, Average Loss  0.871428, Time  0.462646
2021-09-08 17:21:55.580777 : Epoch  1, Batch   2476, Loss  0.890461, Average Loss  0.871505, Time  0.354213
2021-09-08 17:21:57.227568 : Epoch  1, Batch   2477, Loss  0.886089, Average Loss  0.871469, Time  0.353657
2021-09-08 17:21:58.909130 : Epoch  1, Batch   2478, Loss  0.855533, Average Loss  0.871547, Time  0.392769
2021-09-08 17:22:00.676533 : Epoch  1, Batch   2479, Loss  0.880263, Average Loss  0.871520, Time  0.463084
2021-09-08 17:22:02.340233 : Epoch  1, Batch   2480, Loss  0.879904, Average Loss  0.871652, Time  0.355361
2021-09-08 17:22:04.003130 : Epoch  1, Batch   2481, Loss  0.879183, Average Loss  0.871566, Time  0.355481
2021-09-08 17:22:05.688045 : Epoch  1, Batch   2482, Loss  0.862710, Average Loss  0.871516, Time  0.389692
2021-09-08 17:22:07.459322 : Epoch  1, Batch   2483, Loss  0.883776, Average Loss  0.871626, Time  0.462209
2021-09-08 17:22:09.114959 : Epoch  1, Batch   2484, Loss  0.891507, Average Loss  0.871824, Time  0.353657
2021-09-08 17:22:10.760974 : Epoch  1, Batch   2485, Loss  0.896684, Average Loss  0.871906, Time  0.354665
2021-09-08 17:22:12.438201 : Epoch  1, Batch   2486, Loss  0.883221, Average Loss  0.871839, Time  0.387862
2021-09-08 17:22:14.198157 : Epoch  1, Batch   2487, Loss  0.863113, Average Loss  0.871865, Time  0.464870
2021-09-08 17:22:15.838321 : Epoch  1, Batch   2488, Loss  0.861776, Average Loss  0.871828, Time  0.354464
2021-09-08 17:22:17.481979 : Epoch  1, Batch   2489, Loss  0.873962, Average Loss  0.871817, Time  0.354592
2021-09-08 17:22:19.163873 : Epoch  1, Batch   2490, Loss  0.878811, Average Loss  0.871632, Time  0.383402
2021-09-08 17:22:20.924927 : Epoch  1, Batch   2491, Loss  0.886659, Average Loss  0.871569, Time  0.464452
2021-09-08 17:22:22.574628 : Epoch  1, Batch   2492, Loss  0.854806, Average Loss  0.871460, Time  0.354800
2021-09-08 17:22:24.234560 : Epoch  1, Batch   2493, Loss  0.874812, Average Loss  0.871477, Time  0.355525
2021-09-08 17:22:25.925288 : Epoch  1, Batch   2494, Loss  0.873539, Average Loss  0.871380, Time  0.378472
2021-09-08 17:22:27.709850 : Epoch  1, Batch   2495, Loss  0.848994, Average Loss  0.871095, Time  0.465521
2021-09-08 17:22:29.375945 : Epoch  1, Batch   2496, Loss  0.876198, Average Loss  0.871241, Time  0.356076
2021-09-08 17:22:31.029214 : Epoch  1, Batch   2497, Loss  0.834130, Average Loss  0.871003, Time  0.355337
2021-09-08 17:22:32.702836 : Epoch  1, Batch   2498, Loss  0.845172, Average Loss  0.870802, Time  0.375292
2021-09-08 17:22:34.458096 : Epoch  1, Batch   2499, Loss  0.892029, Average Loss  0.870895, Time  0.462048
2021-09-08 17:22:36.096692 : Epoch  1, Batch   2500, Loss  0.873947, Average Loss  0.870967, Time  0.355795
2021-09-08 17:27:07.733543 : CheckPoint: Validation Loss  0.00061536, Best Loss  0.00058797
2021-09-08 17:27:09.383837 : Epoch  1, Batch   2501, Loss  0.897408, Average Loss  0.871197, Time  0.357327
2021-09-08 17:27:11.092182 : Epoch  1, Batch   2502, Loss  0.889142, Average Loss  0.871377, Time  0.421685
2021-09-08 17:27:12.845933 : Epoch  1, Batch   2503, Loss  0.873176, Average Loss  0.871486, Time  0.464735
2021-09-08 17:27:14.497414 : Epoch  1, Batch   2504, Loss  0.867719, Average Loss  0.871280, Time  0.354978
2021-09-08 17:27:16.137444 : Epoch  1, Batch   2505, Loss  0.890409, Average Loss  0.871403, Time  0.352947
2021-09-08 17:27:17.826793 : Epoch  1, Batch   2506, Loss  0.868455, Average Loss  0.871266, Time  0.397630
2021-09-08 17:27:19.582184 : Epoch  1, Batch   2507, Loss  0.881487, Average Loss  0.871414, Time  0.463039
2021-09-08 17:27:21.232438 : Epoch  1, Batch   2508, Loss  0.869625, Average Loss  0.871240, Time  0.355271
2021-09-08 17:27:22.886711 : Epoch  1, Batch   2509, Loss  0.839236, Average Loss  0.871040, Time  0.354561
2021-09-08 17:27:24.577195 : Epoch  1, Batch   2510, Loss  0.881661, Average Loss  0.871127, Time  0.375254
2021-09-08 17:27:26.339245 : Epoch  1, Batch   2511, Loss  0.852653, Average Loss  0.870981, Time  0.464875
2021-09-08 17:27:27.983044 : Epoch  1, Batch   2512, Loss  0.864856, Average Loss  0.871148, Time  0.354335
2021-09-08 17:27:29.632464 : Epoch  1, Batch   2513, Loss  0.904237, Average Loss  0.871422, Time  0.353331
2021-09-08 17:27:31.313809 : Epoch  1, Batch   2514, Loss  0.837086, Average Loss  0.871085, Time  0.385221
2021-09-08 17:27:33.065667 : Epoch  1, Batch   2515, Loss  0.861597, Average Loss  0.870985, Time  0.462815
2021-09-08 17:27:34.722619 : Epoch  1, Batch   2516, Loss  0.861699, Average Loss  0.870880, Time  0.354501
2021-09-08 17:27:36.383421 : Epoch  1, Batch   2517, Loss  0.866506, Average Loss  0.870793, Time  0.352922
2021-09-08 17:27:38.065726 : Epoch  1, Batch   2518, Loss  0.855536, Average Loss  0.870809, Time  0.385054
2021-09-08 17:27:39.824811 : Epoch  1, Batch   2519, Loss  0.867293, Average Loss  0.870619, Time  0.462708
2021-09-08 17:27:41.469997 : Epoch  1, Batch   2520, Loss  0.863746, Average Loss  0.870550, Time  0.354375
2021-09-08 17:27:43.126033 : Epoch  1, Batch   2521, Loss  0.883359, Average Loss  0.870525, Time  0.356128
2021-09-08 17:27:44.823423 : Epoch  1, Batch   2522, Loss  0.877720, Average Loss  0.870529, Time  0.384246
2021-09-08 17:27:46.596423 : Epoch  1, Batch   2523, Loss  0.871287, Average Loss  0.870547, Time  0.463477
2021-09-08 17:27:48.261850 : Epoch  1, Batch   2524, Loss  0.875444, Average Loss  0.870543, Time  0.355373
2021-09-08 17:27:49.927117 : Epoch  1, Batch   2525, Loss  0.869149, Average Loss  0.870494, Time  0.354879
2021-09-08 17:27:51.621277 : Epoch  1, Batch   2526, Loss  0.876319, Average Loss  0.870554, Time  0.386673
2021-09-08 17:27:53.408106 : Epoch  1, Batch   2527, Loss  0.877047, Average Loss  0.870749, Time  0.466218
2021-09-08 17:27:55.068287 : Epoch  1, Batch   2528, Loss  0.875578, Average Loss  0.870798, Time  0.356294
2021-09-08 17:27:56.735750 : Epoch  1, Batch   2529, Loss  0.883919, Average Loss  0.870795, Time  0.355326
2021-09-08 17:27:58.424264 : Epoch  1, Batch   2530, Loss  0.866150, Average Loss  0.870742, Time  0.378408
2021-09-08 17:28:00.186455 : Epoch  1, Batch   2531, Loss  0.859808, Average Loss  0.870649, Time  0.463899
2021-09-08 17:28:01.833188 : Epoch  1, Batch   2532, Loss  0.876866, Average Loss  0.870619, Time  0.356656
2021-09-08 17:28:03.476666 : Epoch  1, Batch   2533, Loss  0.844679, Average Loss  0.870465, Time  0.354527
2021-09-08 17:28:05.139343 : Epoch  1, Batch   2534, Loss  0.865447, Average Loss  0.870402, Time  0.375033
2021-09-08 17:28:06.894096 : Epoch  1, Batch   2535, Loss  0.856562, Average Loss  0.870270, Time  0.462258
2021-09-08 17:28:08.544030 : Epoch  1, Batch   2536, Loss  0.886221, Average Loss  0.870301, Time  0.356091
2021-09-08 17:28:10.192654 : Epoch  1, Batch   2537, Loss  0.867073, Average Loss  0.870262, Time  0.354817
2021-09-08 17:28:11.855032 : Epoch  1, Batch   2538, Loss  0.883071, Average Loss  0.870256, Time  0.376132
2021-09-08 17:28:13.613556 : Epoch  1, Batch   2539, Loss  0.897074, Average Loss  0.870377, Time  0.462367
2021-09-08 17:28:15.282404 : Epoch  1, Batch   2540, Loss  0.884099, Average Loss  0.870409, Time  0.354575
2021-09-08 17:28:16.952953 : Epoch  1, Batch   2541, Loss  0.873114, Average Loss  0.870338, Time  0.355672
2021-09-08 17:28:18.644936 : Epoch  1, Batch   2542, Loss  0.893116, Average Loss  0.870511, Time  0.383795
2021-09-08 17:28:20.415980 : Epoch  1, Batch   2543, Loss  0.860737, Average Loss  0.870462, Time  0.463390
2021-09-08 17:28:22.083440 : Epoch  1, Batch   2544, Loss  0.868842, Average Loss  0.870643, Time  0.355965
2021-09-08 17:28:23.743250 : Epoch  1, Batch   2545, Loss  0.861431, Average Loss  0.870660, Time  0.354156
2021-09-08 17:28:25.431708 : Epoch  1, Batch   2546, Loss  0.856546, Average Loss  0.870587, Time  0.389787
2021-09-08 17:28:27.194017 : Epoch  1, Batch   2547, Loss  0.900777, Average Loss  0.870814, Time  0.465292
2021-09-08 17:28:28.861645 : Epoch  1, Batch   2548, Loss  0.882081, Average Loss  0.870859, Time  0.355866
2021-09-08 17:28:30.522089 : Epoch  1, Batch   2549, Loss  0.857427, Average Loss  0.870757, Time  0.354142
2021-09-08 17:28:32.227270 : Epoch  1, Batch   2550, Loss  0.829763, Average Loss  0.870431, Time  0.389791
2021-09-08 17:28:34.005764 : Epoch  1, Batch   2551, Loss  0.856799, Average Loss  0.870391, Time  0.463795
2021-09-08 17:28:35.677803 : Epoch  1, Batch   2552, Loss  0.871544, Average Loss  0.870568, Time  0.355318
2021-09-08 17:28:37.346685 : Epoch  1, Batch   2553, Loss  0.871614, Average Loss  0.870506, Time  0.355760
2021-09-08 17:28:39.036521 : Epoch  1, Batch   2554, Loss  0.857930, Average Loss  0.870647, Time  0.378637
2021-09-08 17:28:40.807454 : Epoch  1, Batch   2555, Loss  0.867971, Average Loss  0.870595, Time  0.463848
2021-09-08 17:28:42.472865 : Epoch  1, Batch   2556, Loss  0.875838, Average Loss  0.870486, Time  0.355437
2021-09-08 17:28:44.121565 : Epoch  1, Batch   2557, Loss  0.841601, Average Loss  0.870424, Time  0.355971
2021-09-08 17:28:45.797682 : Epoch  1, Batch   2558, Loss  0.870501, Average Loss  0.870493, Time  0.376701
2021-09-08 17:28:47.553760 : Epoch  1, Batch   2559, Loss  0.848548, Average Loss  0.870360, Time  0.466035
2021-09-08 17:28:49.202330 : Epoch  1, Batch   2560, Loss  0.895749, Average Loss  0.870536, Time  0.354471
2021-09-08 17:28:50.856853 : Epoch  1, Batch   2561, Loss  0.885251, Average Loss  0.870568, Time  0.354726
2021-09-08 17:28:52.540961 : Epoch  1, Batch   2562, Loss  0.847667, Average Loss  0.870379, Time  0.388641
2021-09-08 17:28:54.294717 : Epoch  1, Batch   2563, Loss  0.862257, Average Loss  0.870431, Time  0.464965
2021-09-08 17:28:55.947568 : Epoch  1, Batch   2564, Loss  0.856648, Average Loss  0.870286, Time  0.355540
2021-09-08 17:28:57.592848 : Epoch  1, Batch   2565, Loss  0.835329, Average Loss  0.870053, Time  0.355994
2021-09-08 17:28:59.269380 : Epoch  1, Batch   2566, Loss  0.904958, Average Loss  0.870127, Time  0.380282
2021-09-08 17:29:01.026615 : Epoch  1, Batch   2567, Loss  0.870347, Average Loss  0.870227, Time  0.464105
2021-09-08 17:29:02.674876 : Epoch  1, Batch   2568, Loss  0.872184, Average Loss  0.870192, Time  0.355657
2021-09-08 17:29:04.324456 : Epoch  1, Batch   2569, Loss  0.910430, Average Loss  0.870288, Time  0.355605
2021-09-08 17:29:05.993500 : Epoch  1, Batch   2570, Loss  0.878547, Average Loss  0.870333, Time  0.379520
2021-09-08 17:29:07.728053 : Epoch  1, Batch   2571, Loss  0.878982, Average Loss  0.870303, Time  0.465366
2021-09-08 17:29:09.373831 : Epoch  1, Batch   2572, Loss  0.889030, Average Loss  0.870516, Time  0.354165
2021-09-08 17:29:11.040701 : Epoch  1, Batch   2573, Loss  0.891766, Average Loss  0.870724, Time  0.356372
2021-09-08 17:29:12.738948 : Epoch  1, Batch   2574, Loss  0.854276, Average Loss  0.870602, Time  0.388696
2021-09-08 17:29:14.515495 : Epoch  1, Batch   2575, Loss  0.870219, Average Loss  0.870681, Time  0.464251
2021-09-08 17:29:16.178004 : Epoch  1, Batch   2576, Loss  0.837084, Average Loss  0.870439, Time  0.355355
2021-09-08 17:29:17.829778 : Epoch  1, Batch   2577, Loss  0.881733, Average Loss  0.870539, Time  0.355419
2021-09-08 17:29:19.507822 : Epoch  1, Batch   2578, Loss  0.887614, Average Loss  0.870536, Time  0.387340
2021-09-08 17:29:21.262819 : Epoch  1, Batch   2579, Loss  0.903241, Average Loss  0.870724, Time  0.463700
2021-09-08 17:29:22.918821 : Epoch  1, Batch   2580, Loss  0.859481, Average Loss  0.870860, Time  0.354181
2021-09-08 17:29:24.565857 : Epoch  1, Batch   2581, Loss  0.890695, Average Loss  0.870965, Time  0.354364
2021-09-08 17:29:26.257755 : Epoch  1, Batch   2582, Loss  0.867878, Average Loss  0.870977, Time  0.382187
2021-09-08 17:29:28.035318 : Epoch  1, Batch   2583, Loss  0.888724, Average Loss  0.871089, Time  0.464457
2021-09-08 17:29:29.680810 : Epoch  1, Batch   2584, Loss  0.844525, Average Loss  0.870907, Time  0.355861
2021-09-08 17:29:31.357355 : Epoch  1, Batch   2585, Loss  0.873268, Average Loss  0.870887, Time  0.357521
2021-09-08 17:29:33.052862 : Epoch  1, Batch   2586, Loss  0.859418, Average Loss  0.870883, Time  0.383493
2021-09-08 17:29:34.817865 : Epoch  1, Batch   2587, Loss  0.866255, Average Loss  0.870833, Time  0.465312
2021-09-08 17:29:36.469787 : Epoch  1, Batch   2588, Loss  0.885284, Average Loss  0.870830, Time  0.354558
2021-09-08 17:29:38.111559 : Epoch  1, Batch   2589, Loss  0.864234, Average Loss  0.870958, Time  0.354862
2021-09-08 17:29:39.806445 : Epoch  1, Batch   2590, Loss  0.848940, Average Loss  0.870888, Time  0.390921
2021-09-08 17:29:41.567960 : Epoch  1, Batch   2591, Loss  0.852086, Average Loss  0.870664, Time  0.465034
2021-09-08 17:29:43.203377 : Epoch  1, Batch   2592, Loss  0.861361, Average Loss  0.870731, Time  0.354006
2021-09-08 17:29:44.847620 : Epoch  1, Batch   2593, Loss  0.883888, Average Loss  0.870916, Time  0.354671
2021-09-08 17:29:46.520028 : Epoch  1, Batch   2594, Loss  0.845709, Average Loss  0.870781, Time  0.389470
2021-09-08 17:29:48.270674 : Epoch  1, Batch   2595, Loss  0.890710, Average Loss  0.870634, Time  0.464150
2021-09-08 17:29:49.909336 : Epoch  1, Batch   2596, Loss  0.851976, Average Loss  0.870543, Time  0.354493
2021-09-08 17:29:51.546813 : Epoch  1, Batch   2597, Loss  0.874085, Average Loss  0.870488, Time  0.353767
2021-09-08 17:29:53.226710 : Epoch  1, Batch   2598, Loss  0.871983, Average Loss  0.870445, Time  0.394329
2021-09-08 17:29:54.987171 : Epoch  1, Batch   2599, Loss  0.896729, Average Loss  0.870457, Time  0.465766
2021-09-08 17:29:56.634158 : Epoch  1, Batch   2600, Loss  0.884064, Average Loss  0.870584, Time  0.355998
2021-09-08 17:34:28.292780 : CheckPoint: Validation Loss  0.00059896, Best Loss  0.00058797
2021-09-08 17:34:30.022534 : Epoch  1, Batch   2601, Loss  0.867919, Average Loss  0.870498, Time  0.427214
2021-09-08 17:34:31.769035 : Epoch  1, Batch   2602, Loss  0.877455, Average Loss  0.870381, Time  0.463512
2021-09-08 17:34:33.415104 : Epoch  1, Batch   2603, Loss  0.885814, Average Loss  0.870334, Time  0.354158
2021-09-08 17:34:35.075749 : Epoch  1, Batch   2604, Loss  0.840145, Average Loss  0.870274, Time  0.355896
2021-09-08 17:34:36.792841 : Epoch  1, Batch   2605, Loss  0.872970, Average Loss  0.870283, Time  0.399567
2021-09-08 17:34:38.539115 : Epoch  1, Batch   2606, Loss  0.861334, Average Loss  0.870167, Time  0.465389
2021-09-08 17:34:40.178611 : Epoch  1, Batch   2607, Loss  0.860781, Average Loss  0.870062, Time  0.354794
2021-09-08 17:34:41.813393 : Epoch  1, Batch   2608, Loss  0.859110, Average Loss  0.870008, Time  0.353232
2021-09-08 17:34:43.499011 : Epoch  1, Batch   2609, Loss  0.850028, Average Loss  0.869873, Time  0.398180
2021-09-08 17:34:45.263640 : Epoch  1, Batch   2610, Loss  0.885059, Average Loss  0.869989, Time  0.464275
2021-09-08 17:34:46.899146 : Epoch  1, Batch   2611, Loss  0.886279, Average Loss  0.870387, Time  0.353764
2021-09-08 17:34:48.537486 : Epoch  1, Batch   2612, Loss  0.853401, Average Loss  0.870328, Time  0.354451
2021-09-08 17:34:50.217066 : Epoch  1, Batch   2613, Loss  0.895599, Average Loss  0.870438, Time  0.399956
2021-09-08 17:34:51.960650 : Epoch  1, Batch   2614, Loss  0.846588, Average Loss  0.870396, Time  0.464938
2021-09-08 17:34:53.590424 : Epoch  1, Batch   2615, Loss  0.872043, Average Loss  0.870414, Time  0.354082
2021-09-08 17:34:55.251422 : Epoch  1, Batch   2616, Loss  0.895461, Average Loss  0.870526, Time  0.354990
2021-09-08 17:34:56.953174 : Epoch  1, Batch   2617, Loss  0.869042, Average Loss  0.870563, Time  0.401070
2021-09-08 17:34:58.716621 : Epoch  1, Batch   2618, Loss  0.873849, Average Loss  0.870360, Time  0.462310
2021-09-08 17:35:00.361085 : Epoch  1, Batch   2619, Loss  0.921194, Average Loss  0.870457, Time  0.354949
2021-09-08 17:35:01.994855 : Epoch  1, Batch   2620, Loss  0.877517, Average Loss  0.870530, Time  0.354019
2021-09-08 17:35:03.676551 : Epoch  1, Batch   2621, Loss  0.885029, Average Loss  0.870512, Time  0.398669
2021-09-08 17:35:05.438535 : Epoch  1, Batch   2622, Loss  0.872707, Average Loss  0.870416, Time  0.463841
2021-09-08 17:35:07.082525 : Epoch  1, Batch   2623, Loss  0.850727, Average Loss  0.870330, Time  0.355417
2021-09-08 17:35:08.751292 : Epoch  1, Batch   2624, Loss  0.849460, Average Loss  0.870190, Time  0.355951
2021-09-08 17:35:10.436643 : Epoch  1, Batch   2625, Loss  0.879209, Average Loss  0.870279, Time  0.401395
2021-09-08 17:35:12.188817 : Epoch  1, Batch   2626, Loss  0.897685, Average Loss  0.870465, Time  0.462851
2021-09-08 17:35:13.826162 : Epoch  1, Batch   2627, Loss  0.844076, Average Loss  0.870284, Time  0.354795
2021-09-08 17:35:15.470679 : Epoch  1, Batch   2628, Loss  0.850670, Average Loss  0.870242, Time  0.353415
2021-09-08 17:35:17.154459 : Epoch  1, Batch   2629, Loss  0.907863, Average Loss  0.870274, Time  0.396655
2021-09-08 17:35:18.912235 : Epoch  1, Batch   2630, Loss  0.838420, Average Loss  0.870162, Time  0.463737
2021-09-08 17:35:20.552365 : Epoch  1, Batch   2631, Loss  0.890699, Average Loss  0.870304, Time  0.355971
2021-09-08 17:35:22.188331 : Epoch  1, Batch   2632, Loss  0.897557, Average Loss  0.870387, Time  0.354128
2021-09-08 17:35:23.872030 : Epoch  1, Batch   2633, Loss  0.848739, Average Loss  0.870209, Time  0.397494
2021-09-08 17:35:25.624301 : Epoch  1, Batch   2634, Loss  0.853308, Average Loss  0.870392, Time  0.464344
2021-09-08 17:35:27.269529 : Epoch  1, Batch   2635, Loss  0.863234, Average Loss  0.870284, Time  0.355423
2021-09-08 17:35:28.915295 : Epoch  1, Batch   2636, Loss  0.891354, Average Loss  0.870349, Time  0.355634
2021-09-08 17:35:30.610838 : Epoch  1, Batch   2637, Loss  0.841876, Average Loss  0.870230, Time  0.391327
2021-09-08 17:35:32.373951 : Epoch  1, Batch   2638, Loss  0.866403, Average Loss  0.870208, Time  0.463838
2021-09-08 17:35:34.009710 : Epoch  1, Batch   2639, Loss  0.844161, Average Loss  0.870060, Time  0.354841
2021-09-08 17:35:35.672446 : Epoch  1, Batch   2640, Loss  0.889635, Average Loss  0.870014, Time  0.354380
2021-09-08 17:35:37.361941 : Epoch  1, Batch   2641, Loss  0.854921, Average Loss  0.870143, Time  0.397523
2021-09-08 17:35:39.117895 : Epoch  1, Batch   2642, Loss  0.867235, Average Loss  0.870273, Time  0.464415
2021-09-08 17:35:40.763766 : Epoch  1, Batch   2643, Loss  0.864871, Average Loss  0.870320, Time  0.354886
2021-09-08 17:35:42.417326 : Epoch  1, Batch   2644, Loss  0.856037, Average Loss  0.870243, Time  0.353778
2021-09-08 17:35:44.093184 : Epoch  1, Batch   2645, Loss  0.887800, Average Loss  0.870311, Time  0.399220
2021-09-08 17:35:45.842649 : Epoch  1, Batch   2646, Loss  0.850301, Average Loss  0.870196, Time  0.463884
2021-09-08 17:35:47.493856 : Epoch  1, Batch   2647, Loss  0.862294, Average Loss  0.870217, Time  0.353707
2021-09-08 17:35:49.124786 : Epoch  1, Batch   2648, Loss  0.868483, Average Loss  0.869982, Time  0.354779
2021-09-08 17:35:50.813152 : Epoch  1, Batch   2649, Loss  0.841476, Average Loss  0.870014, Time  0.399851
2021-09-08 17:35:52.558571 : Epoch  1, Batch   2650, Loss  0.890289, Average Loss  0.870157, Time  0.464814
2021-09-08 17:35:54.194946 : Epoch  1, Batch   2651, Loss  0.883404, Average Loss  0.870297, Time  0.354184
2021-09-08 17:35:55.833531 : Epoch  1, Batch   2652, Loss  0.860544, Average Loss  0.870416, Time  0.355969
2021-09-08 17:35:57.532211 : Epoch  1, Batch   2653, Loss  0.834157, Average Loss  0.870211, Time  0.398314
2021-09-08 17:35:59.292979 : Epoch  1, Batch   2654, Loss  0.852866, Average Loss  0.870119, Time  0.466575
2021-09-08 17:36:00.923315 : Epoch  1, Batch   2655, Loss  0.865260, Average Loss  0.870136, Time  0.355059
2021-09-08 17:36:02.557416 : Epoch  1, Batch   2656, Loss  0.885514, Average Loss  0.870177, Time  0.354197
2021-09-08 17:36:04.235635 : Epoch  1, Batch   2657, Loss  0.851431, Average Loss  0.870190, Time  0.404501
2021-09-08 17:36:05.982123 : Epoch  1, Batch   2658, Loss  0.872972, Average Loss  0.870221, Time  0.465181
2021-09-08 17:36:07.599716 : Epoch  1, Batch   2659, Loss  0.871502, Average Loss  0.870395, Time  0.353639
2021-09-08 17:36:09.230796 : Epoch  1, Batch   2660, Loss  0.903504, Average Loss  0.870496, Time  0.354173
2021-09-08 17:36:10.920990 : Epoch  1, Batch   2661, Loss  0.869563, Average Loss  0.870549, Time  0.406199
2021-09-08 17:36:12.665987 : Epoch  1, Batch   2662, Loss  0.883474, Average Loss  0.870618, Time  0.464868
2021-09-08 17:36:14.301802 : Epoch  1, Batch   2663, Loss  0.887912, Average Loss  0.870680, Time  0.354423
2021-09-08 17:36:15.944175 : Epoch  1, Batch   2664, Loss  0.848464, Average Loss  0.870523, Time  0.355251
2021-09-08 17:36:17.621509 : Epoch  1, Batch   2665, Loss  0.878923, Average Loss  0.870651, Time  0.400663
2021-09-08 17:36:19.373266 : Epoch  1, Batch   2666, Loss  0.851262, Average Loss  0.870516, Time  0.463899
2021-09-08 17:36:21.016862 : Epoch  1, Batch   2667, Loss  0.858716, Average Loss  0.870473, Time  0.354540
2021-09-08 17:36:22.651397 : Epoch  1, Batch   2668, Loss  0.855853, Average Loss  0.870452, Time  0.355971
2021-09-08 17:36:24.338428 : Epoch  1, Batch   2669, Loss  0.886336, Average Loss  0.870443, Time  0.402904
2021-09-08 17:36:26.082849 : Epoch  1, Batch   2670, Loss  0.850821, Average Loss  0.870340, Time  0.465025
2021-09-08 17:36:27.745204 : Epoch  1, Batch   2671, Loss  0.864870, Average Loss  0.870312, Time  0.356200
2021-09-08 17:36:29.384811 : Epoch  1, Batch   2672, Loss  0.833086, Average Loss  0.870137, Time  0.355666
2021-09-08 17:36:31.051811 : Epoch  1, Batch   2673, Loss  0.859168, Average Loss  0.869970, Time  0.388942
2021-09-08 17:36:32.790511 : Epoch  1, Batch   2674, Loss  0.872331, Average Loss  0.870018, Time  0.463783
2021-09-08 17:36:34.427041 : Epoch  1, Batch   2675, Loss  0.868849, Average Loss  0.870137, Time  0.353918
2021-09-08 17:36:36.083516 : Epoch  1, Batch   2676, Loss  0.852131, Average Loss  0.869945, Time  0.355918
2021-09-08 17:36:37.775109 : Epoch  1, Batch   2677, Loss  0.856917, Average Loss  0.869799, Time  0.408050
2021-09-08 17:36:39.523152 : Epoch  1, Batch   2678, Loss  0.865556, Average Loss  0.869849, Time  0.465727
2021-09-08 17:36:41.168043 : Epoch  1, Batch   2679, Loss  0.865664, Average Loss  0.869776, Time  0.354140
2021-09-08 17:36:42.810692 : Epoch  1, Batch   2680, Loss  0.859411, Average Loss  0.869674, Time  0.354750
2021-09-08 17:36:44.491736 : Epoch  1, Batch   2681, Loss  0.864173, Average Loss  0.869599, Time  0.400806
2021-09-08 17:36:46.256644 : Epoch  1, Batch   2682, Loss  0.906288, Average Loss  0.869817, Time  0.462612
2021-09-08 17:36:47.912403 : Epoch  1, Batch   2683, Loss  0.902027, Average Loss  0.869908, Time  0.355022
2021-09-08 17:36:49.560501 : Epoch  1, Batch   2684, Loss  0.869483, Average Loss  0.869798, Time  0.355243
2021-09-08 17:36:51.260897 : Epoch  1, Batch   2685, Loss  0.865802, Average Loss  0.869643, Time  0.402843
2021-09-08 17:36:53.031942 : Epoch  1, Batch   2686, Loss  0.883257, Average Loss  0.869644, Time  0.463906
2021-09-08 17:36:54.679475 : Epoch  1, Batch   2687, Loss  0.884943, Average Loss  0.869753, Time  0.354057
2021-09-08 17:36:56.333487 : Epoch  1, Batch   2688, Loss  0.887695, Average Loss  0.869882, Time  0.355456
2021-09-08 17:36:58.036520 : Epoch  1, Batch   2689, Loss  0.848489, Average Loss  0.869755, Time  0.405363
2021-09-08 17:36:59.796674 : Epoch  1, Batch   2690, Loss  0.896485, Average Loss  0.869843, Time  0.465115
2021-09-08 17:37:01.435997 : Epoch  1, Batch   2691, Loss  0.897871, Average Loss  0.869899, Time  0.355366
2021-09-08 17:37:03.075226 : Epoch  1, Batch   2692, Loss  0.848628, Average Loss  0.869869, Time  0.354240
2021-09-08 17:37:04.763416 : Epoch  1, Batch   2693, Loss  0.853125, Average Loss  0.869760, Time  0.403397
2021-09-08 17:37:06.541846 : Epoch  1, Batch   2694, Loss  0.898562, Average Loss  0.869885, Time  0.458920
2021-09-08 17:37:08.188550 : Epoch  1, Batch   2695, Loss  0.865263, Average Loss  0.869967, Time  0.356163
2021-09-08 17:37:09.846370 : Epoch  1, Batch   2696, Loss  0.915929, Average Loss  0.870165, Time  0.355224
2021-09-08 17:37:11.552158 : Epoch  1, Batch   2697, Loss  0.877935, Average Loss  0.870384, Time  0.405719
2021-09-08 17:37:13.315364 : Epoch  1, Batch   2698, Loss  0.905100, Average Loss  0.870684, Time  0.463595
2021-09-08 17:37:14.970900 : Epoch  1, Batch   2699, Loss  0.886539, Average Loss  0.870656, Time  0.355987
2021-09-08 17:37:16.611248 : Epoch  1, Batch   2700, Loss  0.864544, Average Loss  0.870609, Time  0.354773
2021-09-08 17:41:46.716822 : CheckPoint: Validation Loss  0.00059275, Best Loss  0.00058797
2021-09-08 17:41:48.442389 : Epoch  1, Batch   2701, Loss  0.882762, Average Loss  0.870536, Time  0.436995
2021-09-08 17:41:50.194664 : Epoch  1, Batch   2702, Loss  0.869197, Average Loss  0.870437, Time  0.464094
2021-09-08 17:41:51.840046 : Epoch  1, Batch   2703, Loss  0.878316, Average Loss  0.870462, Time  0.356503
2021-09-08 17:41:53.506374 : Epoch  1, Batch   2704, Loss  0.879592, Average Loss  0.870522, Time  0.359660
2021-09-08 17:41:55.200132 : Epoch  1, Batch   2705, Loss  0.879859, Average Loss  0.870469, Time  0.405571
2021-09-08 17:41:56.969849 : Epoch  1, Batch   2706, Loss  0.861638, Average Loss  0.870435, Time  0.464147
2021-09-08 17:41:58.620063 : Epoch  1, Batch   2707, Loss  0.856681, Average Loss  0.870311, Time  0.355525
2021-09-08 17:42:00.279533 : Epoch  1, Batch   2708, Loss  0.876247, Average Loss  0.870344, Time  0.355700
2021-09-08 17:42:01.968730 : Epoch  1, Batch   2709, Loss  0.844264, Average Loss  0.870369, Time  0.401227
2021-09-08 17:42:03.723557 : Epoch  1, Batch   2710, Loss  0.841413, Average Loss  0.870168, Time  0.463456
2021-09-08 17:42:05.365783 : Epoch  1, Batch   2711, Loss  0.886926, Average Loss  0.870339, Time  0.354516
2021-09-08 17:42:07.013502 : Epoch  1, Batch   2712, Loss  0.853877, Average Loss  0.870284, Time  0.355227
2021-09-08 17:42:08.725125 : Epoch  1, Batch   2713, Loss  0.878559, Average Loss  0.870156, Time  0.398199
2021-09-08 17:42:10.482441 : Epoch  1, Batch   2714, Loss  0.882557, Average Loss  0.870383, Time  0.465340
2021-09-08 17:42:12.126196 : Epoch  1, Batch   2715, Loss  0.876942, Average Loss  0.870460, Time  0.355258
2021-09-08 17:42:13.792518 : Epoch  1, Batch   2716, Loss  0.895279, Average Loss  0.870628, Time  0.355690
2021-09-08 17:42:15.501621 : Epoch  1, Batch   2717, Loss  0.875018, Average Loss  0.870670, Time  0.402338
2021-09-08 17:42:17.253769 : Epoch  1, Batch   2718, Loss  0.874306, Average Loss  0.870764, Time  0.462688
2021-09-08 17:42:18.893919 : Epoch  1, Batch   2719, Loss  0.877864, Average Loss  0.870817, Time  0.354196
2021-09-08 17:42:20.533680 : Epoch  1, Batch   2720, Loss  0.871720, Average Loss  0.870857, Time  0.355099
2021-09-08 17:42:22.238234 : Epoch  1, Batch   2721, Loss  0.836682, Average Loss  0.870624, Time  0.400472
2021-09-08 17:42:23.995142 : Epoch  1, Batch   2722, Loss  0.860714, Average Loss  0.870539, Time  0.465034
2021-09-08 17:42:25.638428 : Epoch  1, Batch   2723, Loss  0.865580, Average Loss  0.870510, Time  0.355470
2021-09-08 17:42:27.289486 : Epoch  1, Batch   2724, Loss  0.905244, Average Loss  0.870659, Time  0.355441
2021-09-08 17:42:28.978481 : Epoch  1, Batch   2725, Loss  0.864529, Average Loss  0.870636, Time  0.399635
2021-09-08 17:42:30.741846 : Epoch  1, Batch   2726, Loss  0.869034, Average Loss  0.870599, Time  0.464569
2021-09-08 17:42:32.401281 : Epoch  1, Batch   2727, Loss  0.901276, Average Loss  0.870721, Time  0.354184
2021-09-08 17:42:34.066984 : Epoch  1, Batch   2728, Loss  0.830541, Average Loss  0.870495, Time  0.356165
2021-09-08 17:42:35.772706 : Epoch  1, Batch   2729, Loss  0.878726, Average Loss  0.870469, Time  0.396542
2021-09-08 17:42:37.527115 : Epoch  1, Batch   2730, Loss  0.841118, Average Loss  0.870344, Time  0.464852
2021-09-08 17:42:39.185197 : Epoch  1, Batch   2731, Loss  0.879536, Average Loss  0.870443, Time  0.354515
2021-09-08 17:42:40.830393 : Epoch  1, Batch   2732, Loss  0.917276, Average Loss  0.870645, Time  0.355856
2021-09-08 17:42:42.535445 : Epoch  1, Batch   2733, Loss  0.871691, Average Loss  0.870780, Time  0.401106
2021-09-08 17:42:44.307032 : Epoch  1, Batch   2734, Loss  0.877301, Average Loss  0.870839, Time  0.463065
2021-09-08 17:42:45.945088 : Epoch  1, Batch   2735, Loss  0.858143, Average Loss  0.870847, Time  0.355500
2021-09-08 17:42:47.588522 : Epoch  1, Batch   2736, Loss  0.877526, Average Loss  0.870804, Time  0.354312
2021-09-08 17:42:49.280707 : Epoch  1, Batch   2737, Loss  0.856238, Average Loss  0.870750, Time  0.398904
2021-09-08 17:42:51.050372 : Epoch  1, Batch   2738, Loss  0.890619, Average Loss  0.870787, Time  0.461718
2021-09-08 17:42:52.708301 : Epoch  1, Batch   2739, Loss  0.830811, Average Loss  0.870456, Time  0.354084
2021-09-08 17:42:54.356010 : Epoch  1, Batch   2740, Loss  0.888437, Average Loss  0.870478, Time  0.355037
2021-09-08 17:42:56.042272 : Epoch  1, Batch   2741, Loss  0.832395, Average Loss  0.870274, Time  0.402459
2021-09-08 17:42:57.798283 : Epoch  1, Batch   2742, Loss  0.857532, Average Loss  0.870096, Time  0.462429
2021-09-08 17:42:59.462155 : Epoch  1, Batch   2743, Loss  0.896516, Average Loss  0.870275, Time  0.354604
2021-09-08 17:43:01.125683 : Epoch  1, Batch   2744, Loss  0.896959, Average Loss  0.870416, Time  0.353307
2021-09-08 17:43:02.811058 : Epoch  1, Batch   2745, Loss  0.850363, Average Loss  0.870360, Time  0.401293
2021-09-08 17:43:04.573782 : Epoch  1, Batch   2746, Loss  0.873243, Average Loss  0.870444, Time  0.462770
2021-09-08 17:43:06.234921 : Epoch  1, Batch   2747, Loss  0.856353, Average Loss  0.870222, Time  0.356282
2021-09-08 17:43:07.896408 : Epoch  1, Batch   2748, Loss  0.865569, Average Loss  0.870139, Time  0.356039
2021-09-08 17:43:09.609744 : Epoch  1, Batch   2749, Loss  0.860220, Average Loss  0.870153, Time  0.401556
2021-09-08 17:43:11.361832 : Epoch  1, Batch   2750, Loss  0.884137, Average Loss  0.870425, Time  0.464968
2021-09-08 17:43:13.006553 : Epoch  1, Batch   2751, Loss  0.882462, Average Loss  0.870553, Time  0.355441
2021-09-08 17:43:14.647291 : Epoch  1, Batch   2752, Loss  0.846353, Average Loss  0.870427, Time  0.354017
2021-09-08 17:43:16.347142 : Epoch  1, Batch   2753, Loss  0.806891, Average Loss  0.870104, Time  0.399070
2021-09-08 17:43:18.113100 : Epoch  1, Batch   2754, Loss  0.875341, Average Loss  0.870191, Time  0.463162
2021-09-08 17:43:19.752574 : Epoch  1, Batch   2755, Loss  0.876942, Average Loss  0.870236, Time  0.355440
2021-09-08 17:43:21.406926 : Epoch  1, Batch   2756, Loss  0.878889, Average Loss  0.870251, Time  0.356109
2021-09-08 17:43:23.113150 : Epoch  1, Batch   2757, Loss  0.819155, Average Loss  0.870139, Time  0.401959
2021-09-08 17:43:24.882372 : Epoch  1, Batch   2758, Loss  0.880850, Average Loss  0.870190, Time  0.463462
2021-09-08 17:43:26.528014 : Epoch  1, Batch   2759, Loss  0.891876, Average Loss  0.870407, Time  0.355326
2021-09-08 17:43:28.172061 : Epoch  1, Batch   2760, Loss  0.885582, Average Loss  0.870356, Time  0.355697
2021-09-08 17:43:29.863485 : Epoch  1, Batch   2761, Loss  0.842607, Average Loss  0.870143, Time  0.397459
2021-09-08 17:43:31.625790 : Epoch  1, Batch   2762, Loss  0.868141, Average Loss  0.870245, Time  0.464028
2021-09-08 17:43:33.278214 : Epoch  1, Batch   2763, Loss  0.888107, Average Loss  0.870375, Time  0.353657
2021-09-08 17:43:34.921541 : Epoch  1, Batch   2764, Loss  0.850547, Average Loss  0.870344, Time  0.356633
2021-09-08 17:43:36.561182 : Epoch  1, Batch   2765, Loss  0.866085, Average Loss  0.870498, Time  0.405747
2021-09-08 17:43:38.296929 : Epoch  1, Batch   2766, Loss  0.841173, Average Loss  0.870179, Time  0.465698
2021-09-08 17:43:39.908846 : Epoch  1, Batch   2767, Loss  0.880575, Average Loss  0.870230, Time  0.353157
2021-09-08 17:43:41.546982 : Epoch  1, Batch   2768, Loss  0.884238, Average Loss  0.870290, Time  0.353505
2021-09-08 17:43:43.246319 : Epoch  1, Batch   2769, Loss  0.863885, Average Loss  0.870058, Time  0.406519
2021-09-08 17:43:44.997976 : Epoch  1, Batch   2770, Loss  0.907477, Average Loss  0.870202, Time  0.463423
2021-09-08 17:43:46.658662 : Epoch  1, Batch   2771, Loss  0.864182, Average Loss  0.870128, Time  0.354543
2021-09-08 17:43:48.305522 : Epoch  1, Batch   2772, Loss  0.867745, Average Loss  0.870022, Time  0.354829
2021-09-08 17:43:49.994106 : Epoch  1, Batch   2773, Loss  0.872634, Average Loss  0.869926, Time  0.403956
2021-09-08 17:43:51.760942 : Epoch  1, Batch   2774, Loss  0.868606, Average Loss  0.869998, Time  0.464240
2021-09-08 17:43:53.418575 : Epoch  1, Batch   2775, Loss  0.883835, Average Loss  0.870066, Time  0.355068
2021-09-08 17:43:55.077514 : Epoch  1, Batch   2776, Loss  0.858975, Average Loss  0.870175, Time  0.356529
2021-09-08 17:43:56.780173 : Epoch  1, Batch   2777, Loss  0.858247, Average Loss  0.870058, Time  0.405472
2021-09-08 17:43:58.545963 : Epoch  1, Batch   2778, Loss  0.878049, Average Loss  0.870010, Time  0.464344
2021-09-08 17:44:00.201112 : Epoch  1, Batch   2779, Loss  0.842023, Average Loss  0.869704, Time  0.355469
2021-09-08 17:44:01.854778 : Epoch  1, Batch   2780, Loss  0.858127, Average Loss  0.869697, Time  0.355564
2021-09-08 17:44:03.564125 : Epoch  1, Batch   2781, Loss  0.863818, Average Loss  0.869563, Time  0.409438
2021-09-08 17:44:05.335530 : Epoch  1, Batch   2782, Loss  0.857396, Average Loss  0.869510, Time  0.465133
2021-09-08 17:44:06.989827 : Epoch  1, Batch   2783, Loss  0.871385, Average Loss  0.869424, Time  0.355310
2021-09-08 17:44:08.651906 : Epoch  1, Batch   2784, Loss  0.848093, Average Loss  0.869442, Time  0.355298
2021-09-08 17:44:10.353987 : Epoch  1, Batch   2785, Loss  0.884159, Average Loss  0.869496, Time  0.402320
2021-09-08 17:44:12.110833 : Epoch  1, Batch   2786, Loss  0.864560, Average Loss  0.869522, Time  0.463465
2021-09-08 17:44:13.762555 : Epoch  1, Batch   2787, Loss  0.884823, Average Loss  0.869615, Time  0.354022
2021-09-08 17:44:15.418259 : Epoch  1, Batch   2788, Loss  0.895776, Average Loss  0.869667, Time  0.354366
2021-09-08 17:44:17.117282 : Epoch  1, Batch   2789, Loss  0.870277, Average Loss  0.869697, Time  0.411077
2021-09-08 17:44:18.863774 : Epoch  1, Batch   2790, Loss  0.887550, Average Loss  0.869890, Time  0.464587
2021-09-08 17:44:20.521812 : Epoch  1, Batch   2791, Loss  0.862960, Average Loss  0.869945, Time  0.355784
2021-09-08 17:44:22.175950 : Epoch  1, Batch   2792, Loss  0.883720, Average Loss  0.870056, Time  0.354053
2021-09-08 17:44:23.879047 : Epoch  1, Batch   2793, Loss  0.880693, Average Loss  0.870040, Time  0.414231
2021-09-08 17:44:25.630271 : Epoch  1, Batch   2794, Loss  0.830640, Average Loss  0.869965, Time  0.461778
2021-09-08 17:44:27.292693 : Epoch  1, Batch   2795, Loss  0.872999, Average Loss  0.869877, Time  0.355082
2021-09-08 17:44:28.939483 : Epoch  1, Batch   2796, Loss  0.850919, Average Loss  0.869871, Time  0.355442
2021-09-08 17:44:30.663377 : Epoch  1, Batch   2797, Loss  0.880729, Average Loss  0.869905, Time  0.412103
2021-09-08 17:44:32.425599 : Epoch  1, Batch   2798, Loss  0.858186, Average Loss  0.869836, Time  0.463383
2021-09-08 17:44:34.059353 : Epoch  1, Batch   2799, Loss  0.853137, Average Loss  0.869618, Time  0.352131
2021-09-08 17:44:35.693542 : Epoch  1, Batch   2800, Loss  0.860859, Average Loss  0.869502, Time  0.356065
2021-09-08 17:49:03.910136 : CheckPoint: Validation Loss  0.00060591, Best Loss  0.00058797
2021-09-08 17:49:05.557754 : Epoch  1, Batch   2801, Loss  0.859190, Average Loss  0.869458, Time  0.362027
2021-09-08 17:49:07.317739 : Epoch  1, Batch   2802, Loss  0.878973, Average Loss  0.869465, Time  0.461712
2021-09-08 17:49:08.974435 : Epoch  1, Batch   2803, Loss  0.824748, Average Loss  0.869160, Time  0.355568
2021-09-08 17:49:10.634039 : Epoch  1, Batch   2804, Loss  0.850505, Average Loss  0.869212, Time  0.356579
2021-09-08 17:49:12.330976 : Epoch  1, Batch   2805, Loss  0.871307, Average Loss  0.869204, Time  0.403072
2021-09-08 17:49:14.079446 : Epoch  1, Batch   2806, Loss  0.911574, Average Loss  0.869455, Time  0.463658
2021-09-08 17:49:15.733007 : Epoch  1, Batch   2807, Loss  0.884385, Average Loss  0.869573, Time  0.358107
2021-09-08 17:49:17.379529 : Epoch  1, Batch   2808, Loss  0.846099, Average Loss  0.869508, Time  0.354083
2021-09-08 17:49:19.082513 : Epoch  1, Batch   2809, Loss  0.869490, Average Loss  0.869605, Time  0.410249
2021-09-08 17:49:20.842527 : Epoch  1, Batch   2810, Loss  0.874847, Average Loss  0.869554, Time  0.463892
2021-09-08 17:49:22.496421 : Epoch  1, Batch   2811, Loss  0.861631, Average Loss  0.869431, Time  0.355924
2021-09-08 17:49:24.139417 : Epoch  1, Batch   2812, Loss  0.880650, Average Loss  0.869567, Time  0.357304
2021-09-08 17:49:25.849461 : Epoch  1, Batch   2813, Loss  0.855679, Average Loss  0.869367, Time  0.414549
2021-09-08 17:49:27.601503 : Epoch  1, Batch   2814, Loss  0.886328, Average Loss  0.869566, Time  0.460565
2021-09-08 17:49:29.252046 : Epoch  1, Batch   2815, Loss  0.868143, Average Loss  0.869547, Time  0.357393
2021-09-08 17:49:30.911712 : Epoch  1, Batch   2816, Loss  0.896605, Average Loss  0.869552, Time  0.356442
2021-09-08 17:49:32.635819 : Epoch  1, Batch   2817, Loss  0.885456, Average Loss  0.869634, Time  0.418626
2021-09-08 17:49:34.394307 : Epoch  1, Batch   2818, Loss  0.883422, Average Loss  0.869682, Time  0.462956
2021-09-08 17:49:36.053319 : Epoch  1, Batch   2819, Loss  0.873282, Average Loss  0.869443, Time  0.355606
2021-09-08 17:49:37.709893 : Epoch  1, Batch   2820, Loss  0.869321, Average Loss  0.869402, Time  0.356783
2021-09-08 17:49:39.400432 : Epoch  1, Batch   2821, Loss  0.834160, Average Loss  0.869147, Time  0.405562
2021-09-08 17:49:41.165390 : Epoch  1, Batch   2822, Loss  0.862009, Average Loss  0.869094, Time  0.464805
2021-09-08 17:49:42.810452 : Epoch  1, Batch   2823, Loss  0.826305, Average Loss  0.868972, Time  0.355780
2021-09-08 17:49:44.448777 : Epoch  1, Batch   2824, Loss  0.875032, Average Loss  0.869100, Time  0.355067
2021-09-08 17:49:46.141915 : Epoch  1, Batch   2825, Loss  0.869755, Average Loss  0.869052, Time  0.408772
2021-09-08 17:49:47.885483 : Epoch  1, Batch   2826, Loss  0.827432, Average Loss  0.868701, Time  0.463220
2021-09-08 17:49:49.520925 : Epoch  1, Batch   2827, Loss  0.880746, Average Loss  0.868884, Time  0.354458
2021-09-08 17:49:51.154756 : Epoch  1, Batch   2828, Loss  0.897585, Average Loss  0.869119, Time  0.355386
2021-09-08 17:49:52.845632 : Epoch  1, Batch   2829, Loss  0.868280, Average Loss  0.868921, Time  0.410397
2021-09-08 17:49:54.597376 : Epoch  1, Batch   2830, Loss  0.848812, Average Loss  0.868973, Time  0.466385
2021-09-08 17:49:56.251293 : Epoch  1, Batch   2831, Loss  0.863270, Average Loss  0.868836, Time  0.356465
2021-09-08 17:49:57.900661 : Epoch  1, Batch   2832, Loss  0.871077, Average Loss  0.868704, Time  0.354593
2021-09-08 17:49:59.601214 : Epoch  1, Batch   2833, Loss  0.851352, Average Loss  0.868717, Time  0.409316
2021-09-08 17:50:01.353591 : Epoch  1, Batch   2834, Loss  0.856446, Average Loss  0.868732, Time  0.465616
2021-09-08 17:50:02.996114 : Epoch  1, Batch   2835, Loss  0.861946, Average Loss  0.868726, Time  0.355161
2021-09-08 17:50:04.650341 : Epoch  1, Batch   2836, Loss  0.851843, Average Loss  0.868528, Time  0.354324
2021-09-08 17:50:06.350071 : Epoch  1, Batch   2837, Loss  0.874726, Average Loss  0.868693, Time  0.412498
2021-09-08 17:50:08.115322 : Epoch  1, Batch   2838, Loss  0.845914, Average Loss  0.868590, Time  0.461855
2021-09-08 17:50:09.763468 : Epoch  1, Batch   2839, Loss  0.851619, Average Loss  0.868627, Time  0.357464
2021-09-08 17:50:11.427253 : Epoch  1, Batch   2840, Loss  0.857048, Average Loss  0.868464, Time  0.353893
2021-09-08 17:50:13.119339 : Epoch  1, Batch   2841, Loss  0.890134, Average Loss  0.868641, Time  0.418244
2021-09-08 17:50:14.903151 : Epoch  1, Batch   2842, Loss  0.859832, Average Loss  0.868604, Time  0.464020
2021-09-08 17:50:16.558427 : Epoch  1, Batch   2843, Loss  0.897705, Average Loss  0.868768, Time  0.356482
2021-09-08 17:50:18.223700 : Epoch  1, Batch   2844, Loss  0.880810, Average Loss  0.868892, Time  0.353426
2021-09-08 17:50:19.907309 : Epoch  1, Batch   2845, Loss  0.837308, Average Loss  0.868639, Time  0.399031
2021-09-08 17:50:21.670991 : Epoch  1, Batch   2846, Loss  0.860988, Average Loss  0.868693, Time  0.463503
2021-09-08 17:50:23.314046 : Epoch  1, Batch   2847, Loss  0.834890, Average Loss  0.868556, Time  0.357975
2021-09-08 17:50:24.993988 : Epoch  1, Batch   2848, Loss  0.862352, Average Loss  0.868525, Time  0.353409
2021-09-08 17:50:26.685074 : Epoch  1, Batch   2849, Loss  0.896996, Average Loss  0.868802, Time  0.401383
2021-09-08 17:50:28.436513 : Epoch  1, Batch   2850, Loss  0.844525, Average Loss  0.868574, Time  0.463063
2021-09-08 17:50:30.110425 : Epoch  1, Batch   2851, Loss  0.881430, Average Loss  0.868564, Time  0.356875
2021-09-08 17:50:31.763776 : Epoch  1, Batch   2852, Loss  0.868472, Average Loss  0.868603, Time  0.355415
2021-09-08 17:50:33.464394 : Epoch  1, Batch   2853, Loss  0.852185, Average Loss  0.868694, Time  0.399755
2021-09-08 17:50:35.225263 : Epoch  1, Batch   2854, Loss  0.848822, Average Loss  0.868673, Time  0.463361
2021-09-08 17:50:36.881934 : Epoch  1, Batch   2855, Loss  0.852785, Average Loss  0.868611, Time  0.355526
2021-09-08 17:50:38.486832 : Epoch  1, Batch   2856, Loss  0.863585, Average Loss  0.868501, Time  0.353369
2021-09-08 17:50:40.183161 : Epoch  1, Batch   2857, Loss  0.882516, Average Loss  0.868657, Time  0.408835
2021-09-08 17:50:41.894868 : Epoch  1, Batch   2858, Loss  0.880349, Average Loss  0.868694, Time  0.466813
2021-09-08 17:50:43.536740 : Epoch  1, Batch   2859, Loss  0.861834, Average Loss  0.868645, Time  0.355436
2021-09-08 17:50:45.197712 : Epoch  1, Batch   2860, Loss  0.845696, Average Loss  0.868356, Time  0.355920
2021-09-08 17:50:46.902011 : Epoch  1, Batch   2861, Loss  0.882296, Average Loss  0.868420, Time  0.407426
2021-09-08 17:50:48.657485 : Epoch  1, Batch   2862, Loss  0.838737, Average Loss  0.868196, Time  0.461314
2021-09-08 17:50:50.301075 : Epoch  1, Batch   2863, Loss  0.854594, Average Loss  0.868030, Time  0.353492
2021-09-08 17:50:51.936165 : Epoch  1, Batch   2864, Loss  0.857273, Average Loss  0.868074, Time  0.354787
2021-09-08 17:50:53.637095 : Epoch  1, Batch   2865, Loss  0.873989, Average Loss  0.868049, Time  0.412923
2021-09-08 17:50:55.404922 : Epoch  1, Batch   2866, Loss  0.869995, Average Loss  0.868143, Time  0.464858
2021-09-08 17:50:57.060913 : Epoch  1, Batch   2867, Loss  0.862577, Average Loss  0.868162, Time  0.355490
2021-09-08 17:50:58.719138 : Epoch  1, Batch   2868, Loss  0.886430, Average Loss  0.868315, Time  0.357739
2021-09-08 17:51:00.406329 : Epoch  1, Batch   2869, Loss  0.883031, Average Loss  0.868298, Time  0.405382
2021-09-08 17:51:02.158009 : Epoch  1, Batch   2870, Loss  0.893286, Average Loss  0.868511, Time  0.463770
2021-09-08 17:51:03.803571 : Epoch  1, Batch   2871, Loss  0.854981, Average Loss  0.868461, Time  0.355067
2021-09-08 17:51:05.441545 : Epoch  1, Batch   2872, Loss  0.861781, Average Loss  0.868605, Time  0.356205
2021-09-08 17:51:07.124054 : Epoch  1, Batch   2873, Loss  0.899207, Average Loss  0.868805, Time  0.403051
2021-09-08 17:51:08.867572 : Epoch  1, Batch   2874, Loss  0.861429, Average Loss  0.868750, Time  0.464149
2021-09-08 17:51:10.503951 : Epoch  1, Batch   2875, Loss  0.869582, Average Loss  0.868754, Time  0.353863
2021-09-08 17:51:12.138803 : Epoch  1, Batch   2876, Loss  0.888846, Average Loss  0.868938, Time  0.356908
2021-09-08 17:51:13.834804 : Epoch  1, Batch   2877, Loss  0.881584, Average Loss  0.869061, Time  0.405298
2021-09-08 17:51:15.593185 : Epoch  1, Batch   2878, Loss  0.869243, Average Loss  0.869079, Time  0.464615
2021-09-08 17:51:17.242648 : Epoch  1, Batch   2879, Loss  0.904116, Average Loss  0.869272, Time  0.354136
2021-09-08 17:51:18.899765 : Epoch  1, Batch   2880, Loss  0.867902, Average Loss  0.869314, Time  0.356604
2021-09-08 17:51:20.605270 : Epoch  1, Batch   2881, Loss  0.871953, Average Loss  0.869353, Time  0.399828
2021-09-08 17:51:22.366733 : Epoch  1, Batch   2882, Loss  0.865643, Average Loss  0.869150, Time  0.459370
2021-09-08 17:51:24.026070 : Epoch  1, Batch   2883, Loss  0.846837, Average Loss  0.868874, Time  0.353758
2021-09-08 17:51:25.667336 : Epoch  1, Batch   2884, Loss  0.859888, Average Loss  0.868826, Time  0.355005
2021-09-08 17:51:27.351800 : Epoch  1, Batch   2885, Loss  0.835627, Average Loss  0.868675, Time  0.404469
2021-09-08 17:51:29.098154 : Epoch  1, Batch   2886, Loss  0.858761, Average Loss  0.868553, Time  0.464104
2021-09-08 17:51:30.744237 : Epoch  1, Batch   2887, Loss  0.890063, Average Loss  0.868578, Time  0.356405
2021-09-08 17:51:32.388995 : Epoch  1, Batch   2888, Loss  0.874403, Average Loss  0.868512, Time  0.355251
2021-09-08 17:51:34.076828 : Epoch  1, Batch   2889, Loss  0.896487, Average Loss  0.868752, Time  0.398370
2021-09-08 17:51:35.820914 : Epoch  1, Batch   2890, Loss  0.897528, Average Loss  0.868757, Time  0.462847
2021-09-08 17:51:37.456551 : Epoch  1, Batch   2891, Loss  0.859842, Average Loss  0.868567, Time  0.355156
2021-09-08 17:51:39.094531 : Epoch  1, Batch   2892, Loss  0.870249, Average Loss  0.868675, Time  0.355058
2021-09-08 17:51:40.776061 : Epoch  1, Batch   2893, Loss  0.850708, Average Loss  0.868663, Time  0.402533
2021-09-08 17:51:42.520008 : Epoch  1, Batch   2894, Loss  0.893553, Average Loss  0.868638, Time  0.463547
2021-09-08 17:51:44.160078 : Epoch  1, Batch   2895, Loss  0.854763, Average Loss  0.868585, Time  0.354449
2021-09-08 17:51:45.796151 : Epoch  1, Batch   2896, Loss  0.902824, Average Loss  0.868520, Time  0.353735
2021-09-08 17:51:47.472222 : Epoch  1, Batch   2897, Loss  0.885608, Average Loss  0.868558, Time  0.397506
2021-09-08 17:51:49.215259 : Epoch  1, Batch   2898, Loss  0.902780, Average Loss  0.868546, Time  0.464701
2021-09-08 17:51:50.851254 : Epoch  1, Batch   2899, Loss  0.871294, Average Loss  0.868470, Time  0.353561
2021-09-08 17:51:52.486227 : Epoch  1, Batch   2900, Loss  0.869493, Average Loss  0.868495, Time  0.353072
2021-09-08 17:56:24.611205 : CheckPoint: Validation Loss  0.00058177, Best Loss  0.00058177
2021-09-08 17:56:24.646904 : Best Model Updated
2021-09-08 17:56:29.099836 : Epoch  1, Batch   2901, Loss  0.868234, Average Loss  0.868422, Time  0.376824
2021-09-08 17:56:30.835146 : Epoch  1, Batch   2902, Loss  0.861847, Average Loss  0.868386, Time  0.462289
2021-09-08 17:56:32.473454 : Epoch  1, Batch   2903, Loss  0.886633, Average Loss  0.868427, Time  0.354099
2021-09-08 17:56:34.103589 : Epoch  1, Batch   2904, Loss  0.896836, Average Loss  0.868513, Time  0.356842
2021-09-08 17:56:35.797701 : Epoch  1, Batch   2905, Loss  0.874538, Average Loss  0.868487, Time  0.402082
2021-09-08 17:56:37.551694 : Epoch  1, Batch   2906, Loss  0.878086, Average Loss  0.868569, Time  0.462121
2021-09-08 17:56:39.197117 : Epoch  1, Batch   2907, Loss  0.811150, Average Loss  0.868341, Time  0.355991
2021-09-08 17:56:40.849767 : Epoch  1, Batch   2908, Loss  0.864061, Average Loss  0.868280, Time  0.354363
2021-09-08 17:56:42.544188 : Epoch  1, Batch   2909, Loss  0.878810, Average Loss  0.868453, Time  0.403366
2021-09-08 17:56:44.299123 : Epoch  1, Batch   2910, Loss  0.860226, Average Loss  0.868547, Time  0.462806
2021-09-08 17:56:45.949699 : Epoch  1, Batch   2911, Loss  0.851722, Average Loss  0.868371, Time  0.354537
2021-09-08 17:56:47.604081 : Epoch  1, Batch   2912, Loss  0.861154, Average Loss  0.868408, Time  0.355593
2021-09-08 17:56:49.307209 : Epoch  1, Batch   2913, Loss  0.869710, Average Loss  0.868363, Time  0.404839
2021-09-08 17:56:51.058609 : Epoch  1, Batch   2914, Loss  0.852970, Average Loss  0.868215, Time  0.465171
2021-09-08 17:56:52.697188 : Epoch  1, Batch   2915, Loss  0.898891, Average Loss  0.868325, Time  0.356337
2021-09-08 17:56:54.345092 : Epoch  1, Batch   2916, Loss  0.865928, Average Loss  0.868178, Time  0.355894
2021-09-08 17:56:56.046820 : Epoch  1, Batch   2917, Loss  0.840458, Average Loss  0.868006, Time  0.405831
2021-09-08 17:56:57.798460 : Epoch  1, Batch   2918, Loss  0.854477, Average Loss  0.867906, Time  0.465124
2021-09-08 17:56:59.439821 : Epoch  1, Batch   2919, Loss  0.892425, Average Loss  0.867979, Time  0.354271
2021-09-08 17:57:01.072911 : Epoch  1, Batch   2920, Loss  0.851320, Average Loss  0.867877, Time  0.356205
2021-09-08 17:57:02.752272 : Epoch  1, Batch   2921, Loss  0.861073, Average Loss  0.867999, Time  0.404885
2021-09-08 17:57:04.502877 : Epoch  1, Batch   2922, Loss  0.895759, Average Loss  0.868174, Time  0.464207
2021-09-08 17:57:06.147974 : Epoch  1, Batch   2923, Loss  0.867851, Average Loss  0.868186, Time  0.353397
2021-09-08 17:57:07.781361 : Epoch  1, Batch   2924, Loss  0.868401, Average Loss  0.868002, Time  0.355009
2021-09-08 17:57:09.462531 : Epoch  1, Batch   2925, Loss  0.847195, Average Loss  0.867915, Time  0.403380
2021-09-08 17:57:11.206322 : Epoch  1, Batch   2926, Loss  0.888747, Average Loss  0.868013, Time  0.464105
2021-09-08 17:57:12.837749 : Epoch  1, Batch   2927, Loss  0.853649, Average Loss  0.867775, Time  0.353360
2021-09-08 17:57:14.479255 : Epoch  1, Batch   2928, Loss  0.902929, Average Loss  0.868137, Time  0.355181
2021-09-08 17:57:16.162204 : Epoch  1, Batch   2929, Loss  0.869487, Average Loss  0.868091, Time  0.407260
2021-09-08 17:57:17.940673 : Epoch  1, Batch   2930, Loss  0.887000, Average Loss  0.868320, Time  0.463753
2021-09-08 17:57:19.572966 : Epoch  1, Batch   2931, Loss  0.835176, Average Loss  0.868099, Time  0.355598
2021-09-08 17:57:21.225572 : Epoch  1, Batch   2932, Loss  0.892866, Average Loss  0.867977, Time  0.355698
2021-09-08 17:57:22.930677 : Epoch  1, Batch   2933, Loss  0.867308, Average Loss  0.867955, Time  0.401001
2021-09-08 17:57:24.674563 : Epoch  1, Batch   2934, Loss  0.883223, Average Loss  0.867984, Time  0.464662
2021-09-08 17:57:26.310795 : Epoch  1, Batch   2935, Loss  0.833178, Average Loss  0.867859, Time  0.355125
2021-09-08 17:57:27.941779 : Epoch  1, Batch   2936, Loss  0.883121, Average Loss  0.867887, Time  0.355183
2021-09-08 17:57:29.620828 : Epoch  1, Batch   2937, Loss  0.854328, Average Loss  0.867878, Time  0.401276
2021-09-08 17:57:31.373342 : Epoch  1, Batch   2938, Loss  0.868401, Average Loss  0.867767, Time  0.464031
2021-09-08 17:57:33.006127 : Epoch  1, Batch   2939, Loss  0.848968, Average Loss  0.867858, Time  0.353768
2021-09-08 17:57:34.641737 : Epoch  1, Batch   2940, Loss  0.851614, Average Loss  0.867673, Time  0.353670
2021-09-08 17:57:36.331984 : Epoch  1, Batch   2941, Loss  0.872302, Average Loss  0.867873, Time  0.400681
2021-09-08 17:57:38.101644 : Epoch  1, Batch   2942, Loss  0.838283, Average Loss  0.867777, Time  0.463229
2021-09-08 17:57:39.738329 : Epoch  1, Batch   2943, Loss  0.867351, Average Loss  0.867631, Time  0.354759
2021-09-08 17:57:41.370697 : Epoch  1, Batch   2944, Loss  0.889993, Average Loss  0.867596, Time  0.353886
2021-09-08 17:57:43.057742 : Epoch  1, Batch   2945, Loss  0.870323, Average Loss  0.867696, Time  0.405270
2021-09-08 17:57:44.810709 : Epoch  1, Batch   2946, Loss  0.877527, Average Loss  0.867717, Time  0.461860
2021-09-08 17:57:46.437230 : Epoch  1, Batch   2947, Loss  0.896146, Average Loss  0.867916, Time  0.355610
2021-09-08 17:57:48.074743 : Epoch  1, Batch   2948, Loss  0.871817, Average Loss  0.867948, Time  0.353535
2021-09-08 17:57:49.771742 : Epoch  1, Batch   2949, Loss  0.890331, Average Loss  0.868098, Time  0.407485
2021-09-08 17:57:51.530264 : Epoch  1, Batch   2950, Loss  0.863659, Average Loss  0.867996, Time  0.461736
2021-09-08 17:57:53.182834 : Epoch  1, Batch   2951, Loss  0.870167, Average Loss  0.867934, Time  0.354459
2021-09-08 17:57:54.818715 : Epoch  1, Batch   2952, Loss  0.876350, Average Loss  0.868084, Time  0.354763
2021-09-08 17:57:56.499699 : Epoch  1, Batch   2953, Loss  0.894030, Average Loss  0.868520, Time  0.403537
2021-09-08 17:57:58.239627 : Epoch  1, Batch   2954, Loss  0.853968, Average Loss  0.868413, Time  0.464049
2021-09-08 17:57:59.883272 : Epoch  1, Batch   2955, Loss  0.894619, Average Loss  0.868501, Time  0.354692
2021-09-08 17:58:01.529107 : Epoch  1, Batch   2956, Loss  0.860354, Average Loss  0.868409, Time  0.355035
2021-09-08 17:58:03.227473 : Epoch  1, Batch   2957, Loss  0.895085, Average Loss  0.868788, Time  0.403744
2021-09-08 17:58:04.982928 : Epoch  1, Batch   2958, Loss  0.887032, Average Loss  0.868819, Time  0.464912
2021-09-08 17:58:06.617549 : Epoch  1, Batch   2959, Loss  0.841165, Average Loss  0.868566, Time  0.355378
2021-09-08 17:58:08.253099 : Epoch  1, Batch   2960, Loss  0.877154, Average Loss  0.868524, Time  0.354760
2021-09-08 17:58:09.936421 : Epoch  1, Batch   2961, Loss  0.861482, Average Loss  0.868618, Time  0.406204
2021-09-08 17:58:11.679831 : Epoch  1, Batch   2962, Loss  0.881702, Average Loss  0.868686, Time  0.464472
2021-09-08 17:58:13.315605 : Epoch  1, Batch   2963, Loss  0.857999, Average Loss  0.868535, Time  0.354125
2021-09-08 17:58:14.955066 : Epoch  1, Batch   2964, Loss  0.854673, Average Loss  0.868556, Time  0.355143
2021-09-08 17:58:16.625392 : Epoch  1, Batch   2965, Loss  0.867636, Average Loss  0.868564, Time  0.404884
2021-09-08 17:58:18.378728 : Epoch  1, Batch   2966, Loss  0.850648, Average Loss  0.868611, Time  0.461269
2021-09-08 17:58:20.027059 : Epoch  1, Batch   2967, Loss  0.876869, Average Loss  0.868593, Time  0.354237
2021-09-08 17:58:21.680987 : Epoch  1, Batch   2968, Loss  0.892347, Average Loss  0.868633, Time  0.355130
2021-09-08 17:58:23.375244 : Epoch  1, Batch   2969, Loss  0.845015, Average Loss  0.868539, Time  0.405300
2021-09-08 17:58:25.127568 : Epoch  1, Batch   2970, Loss  0.889265, Average Loss  0.868448, Time  0.464590
2021-09-08 17:58:26.765281 : Epoch  1, Batch   2971, Loss  0.882547, Average Loss  0.868539, Time  0.354186
2021-09-08 17:58:28.410641 : Epoch  1, Batch   2972, Loss  0.852743, Average Loss  0.868464, Time  0.357716
2021-09-08 17:58:30.100883 : Epoch  1, Batch   2973, Loss  0.840869, Average Loss  0.868306, Time  0.399575
2021-09-08 17:58:31.850069 : Epoch  1, Batch   2974, Loss  0.856069, Average Loss  0.868243, Time  0.466320
2021-09-08 17:58:33.488694 : Epoch  1, Batch   2975, Loss  0.886962, Average Loss  0.868259, Time  0.354130
2021-09-08 17:58:35.135368 : Epoch  1, Batch   2976, Loss  0.866706, Average Loss  0.868297, Time  0.354102
2021-09-08 17:58:36.807210 : Epoch  1, Batch   2977, Loss  0.854550, Average Loss  0.868279, Time  0.394455
2021-09-08 17:58:38.549825 : Epoch  1, Batch   2978, Loss  0.853974, Average Loss  0.868158, Time  0.460679
2021-09-08 17:58:40.207512 : Epoch  1, Batch   2979, Loss  0.888438, Average Loss  0.868390, Time  0.356822
2021-09-08 17:58:41.863641 : Epoch  1, Batch   2980, Loss  0.889346, Average Loss  0.868547, Time  0.353853
2021-09-08 17:58:43.542058 : Epoch  1, Batch   2981, Loss  0.852785, Average Loss  0.868491, Time  0.404624
2021-09-08 17:58:45.293962 : Epoch  1, Batch   2982, Loss  0.869229, Average Loss  0.868551, Time  0.465425
2021-09-08 17:58:46.917785 : Epoch  1, Batch   2983, Loss  0.900605, Average Loss  0.868697, Time  0.356574
2021-09-08 17:58:48.568429 : Epoch  1, Batch   2984, Loss  0.862802, Average Loss  0.868770, Time  0.355715
2021-09-08 17:58:50.269261 : Epoch  1, Batch   2985, Loss  0.853268, Average Loss  0.868616, Time  0.399365
2021-09-08 17:58:52.017685 : Epoch  1, Batch   2986, Loss  0.846558, Average Loss  0.868526, Time  0.465176
2021-09-08 17:58:53.663255 : Epoch  1, Batch   2987, Loss  0.854319, Average Loss  0.868373, Time  0.354869
2021-09-08 17:58:55.321193 : Epoch  1, Batch   2988, Loss  0.876415, Average Loss  0.868276, Time  0.354827
2021-09-08 17:58:57.006452 : Epoch  1, Batch   2989, Loss  0.880952, Average Loss  0.868330, Time  0.398128
2021-09-08 17:58:58.753503 : Epoch  1, Batch   2990, Loss  0.871520, Average Loss  0.868250, Time  0.464005
2021-09-08 17:59:00.387054 : Epoch  1, Batch   2991, Loss  0.873878, Average Loss  0.868304, Time  0.354596
2021-09-08 17:59:02.022411 : Epoch  1, Batch   2992, Loss  0.870912, Average Loss  0.868240, Time  0.355160
2021-09-08 17:59:03.712894 : Epoch  1, Batch   2993, Loss  0.888684, Average Loss  0.868280, Time  0.408081
2021-09-08 17:59:05.459103 : Epoch  1, Batch   2994, Loss  0.886233, Average Loss  0.868558, Time  0.464418
2021-09-08 17:59:07.099937 : Epoch  1, Batch   2995, Loss  0.889150, Average Loss  0.868639, Time  0.356014
2021-09-08 17:59:08.735455 : Epoch  1, Batch   2996, Loss  0.865585, Average Loss  0.868712, Time  0.355120
2021-09-08 17:59:10.415323 : Epoch  1, Batch   2997, Loss  0.901535, Average Loss  0.868816, Time  0.400232
2021-09-08 17:59:12.164478 : Epoch  1, Batch   2998, Loss  0.873635, Average Loss  0.868893, Time  0.466465
2021-09-08 17:59:13.807641 : Epoch  1, Batch   2999, Loss  0.906086, Average Loss  0.869158, Time  0.356551
2021-09-08 17:59:23.043141 : Epoch  1, Batch   3000, Loss  0.889173, Average Loss  0.869300, Time  0.411520
2021-09-08 18:03:53.664822 : CheckPoint: Validation Loss  0.00061308, Best Loss  0.00058177
2021-09-08 18:03:55.332531 : Epoch  1, Batch   3001, Loss  0.939302, Average Loss  0.869700, Time  0.351206
2021-09-08 18:03:56.989761 : Epoch  1, Batch   3002, Loss  0.868625, Average Loss  0.869649, Time  0.354678
2021-09-08 18:03:58.649397 : Epoch  1, Batch   3003, Loss  0.849393, Average Loss  0.869772, Time  0.365442
2021-09-08 18:04:00.396071 : Epoch  1, Batch   3004, Loss  0.884493, Average Loss  0.869942, Time  0.464052
2021-09-08 18:04:02.039691 : Epoch  1, Batch   3005, Loss  0.889747, Average Loss  0.870034, Time  0.356799
2021-09-08 18:04:03.679275 : Epoch  1, Batch   3006, Loss  0.891687, Average Loss  0.869935, Time  0.355883
2021-09-08 18:04:05.337580 : Epoch  1, Batch   3007, Loss  0.864895, Average Loss  0.869837, Time  0.376734
2021-09-08 18:04:07.085400 : Epoch  1, Batch   3008, Loss  0.860736, Average Loss  0.869910, Time  0.465633
2021-09-08 18:04:08.728274 : Epoch  1, Batch   3009, Loss  0.855756, Average Loss  0.869842, Time  0.356830
2021-09-08 18:04:10.384101 : Epoch  1, Batch   3010, Loss  0.866422, Average Loss  0.869799, Time  0.356041
2021-09-08 18:04:12.072066 : Epoch  1, Batch   3011, Loss  0.849300, Average Loss  0.869738, Time  0.374314
2021-09-08 18:04:13.837157 : Epoch  1, Batch   3012, Loss  0.859684, Average Loss  0.869633, Time  0.463476
2021-09-08 18:04:15.492471 : Epoch  1, Batch   3013, Loss  0.865994, Average Loss  0.869685, Time  0.354686
2021-09-08 18:04:17.154472 : Epoch  1, Batch   3014, Loss  0.896519, Average Loss  0.869736, Time  0.357398
2021-09-08 18:04:18.851416 : Epoch  1, Batch   3015, Loss  0.856626, Average Loss  0.869678, Time  0.391201
2021-09-08 18:04:20.621854 : Epoch  1, Batch   3016, Loss  0.866991, Average Loss  0.869530, Time  0.462202
2021-09-08 18:04:22.274814 : Epoch  1, Batch   3017, Loss  0.876358, Average Loss  0.869484, Time  0.354937
2021-09-08 18:04:23.917672 : Epoch  1, Batch   3018, Loss  0.888401, Average Loss  0.869509, Time  0.353859
2021-09-08 18:04:25.594916 : Epoch  1, Batch   3019, Loss  0.875327, Average Loss  0.869519, Time  0.390049
2021-09-08 18:04:27.346784 : Epoch  1, Batch   3020, Loss  0.864556, Average Loss  0.869496, Time  0.466298
2021-09-08 18:04:29.012170 : Epoch  1, Batch   3021, Loss  0.899292, Average Loss  0.869821, Time  0.356002
2021-09-08 18:04:30.674044 : Epoch  1, Batch   3022, Loss  0.862604, Average Loss  0.869824, Time  0.357342
2021-09-08 18:04:32.354564 : Epoch  1, Batch   3023, Loss  0.899335, Average Loss  0.870189, Time  0.381439
2021-09-08 18:04:34.101511 : Epoch  1, Batch   3024, Loss  0.922088, Average Loss  0.870425, Time  0.464184
2021-09-08 18:04:35.741223 : Epoch  1, Batch   3025, Loss  0.990982, Average Loss  0.871031, Time  0.354559
2021-09-08 18:04:37.378076 : Epoch  1, Batch   3026, Loss  1.069905, Average Loss  0.872243, Time  0.353749
2021-09-08 18:04:39.055954 : Epoch  1, Batch   3027, Loss  0.890718, Average Loss  0.872293, Time  0.388011
2021-09-08 18:04:40.800269 : Epoch  1, Batch   3028, Loss  0.925071, Average Loss  0.872431, Time  0.463318
2021-09-08 18:04:42.442441 : Epoch  1, Batch   3029, Loss  0.911972, Average Loss  0.872649, Time  0.353387
2021-09-08 18:04:44.078638 : Epoch  1, Batch   3030, Loss  1.020556, Average Loss  0.873508, Time  0.354271
2021-09-08 18:04:45.752480 : Epoch  1, Batch   3031, Loss  0.949562, Average Loss  0.873939, Time  0.395832
2021-09-08 18:04:47.501452 : Epoch  1, Batch   3032, Loss  1.071944, Average Loss  0.874943, Time  0.463990
2021-09-08 18:04:49.146741 : Epoch  1, Batch   3033, Loss  0.936825, Average Loss  0.875371, Time  0.355881
2021-09-08 18:04:50.794187 : Epoch  1, Batch   3034, Loss  1.022914, Average Loss  0.876203, Time  0.353829
2021-09-08 18:04:52.477726 : Epoch  1, Batch   3035, Loss  0.990966, Average Loss  0.876848, Time  0.395445
2021-09-08 18:04:54.242544 : Epoch  1, Batch   3036, Loss  1.006691, Average Loss  0.877623, Time  0.462824
2021-09-08 18:04:55.902162 : Epoch  1, Batch   3037, Loss  1.082826, Average Loss  0.878663, Time  0.355929
2021-09-08 18:04:57.555942 : Epoch  1, Batch   3038, Loss  0.947599, Average Loss  0.879171, Time  0.354368
2021-09-08 18:04:59.238201 : Epoch  1, Batch   3039, Loss  0.927851, Average Loss  0.879553, Time  0.391361
2021-09-08 18:05:00.985766 : Epoch  1, Batch   3040, Loss  0.911664, Average Loss  0.879826, Time  0.465825
2021-09-08 18:05:02.634454 : Epoch  1, Batch   3041, Loss  0.916295, Average Loss  0.879957, Time  0.353826
2021-09-08 18:05:04.282251 : Epoch  1, Batch   3042, Loss  0.897447, Average Loss  0.880145, Time  0.354311
2021-09-08 18:05:05.956134 : Epoch  1, Batch   3043, Loss  0.882795, Average Loss  0.880070, Time  0.390505
2021-09-08 18:05:07.710607 : Epoch  1, Batch   3044, Loss  0.907244, Average Loss  0.880202, Time  0.465242
2021-09-08 18:05:09.348565 : Epoch  1, Batch   3045, Loss  0.915561, Average Loss  0.880593, Time  0.353436
2021-09-08 18:05:10.986801 : Epoch  1, Batch   3046, Loss  0.860993, Average Loss  0.880593, Time  0.353331
2021-09-08 18:05:12.726768 : Epoch  1, Batch   3047, Loss  0.879933, Average Loss  0.880819, Time  0.394746
2021-09-08 18:05:14.494367 : Epoch  1, Batch   3048, Loss  0.852983, Average Loss  0.880772, Time  0.463272
2021-09-08 18:05:16.134679 : Epoch  1, Batch   3049, Loss  0.864719, Average Loss  0.880610, Time  0.354917
2021-09-08 18:05:17.780653 : Epoch  1, Batch   3050, Loss  0.912016, Average Loss  0.880948, Time  0.354446
2021-09-08 18:05:19.466244 : Epoch  1, Batch   3051, Loss  0.865047, Average Loss  0.880866, Time  0.393995
2021-09-08 18:05:21.228035 : Epoch  1, Batch   3052, Loss  0.844189, Average Loss  0.880745, Time  0.463318
2021-09-08 18:05:22.862045 : Epoch  1, Batch   3053, Loss  0.858751, Average Loss  0.880777, Time  0.354156
2021-09-08 18:05:24.516173 : Epoch  1, Batch   3054, Loss  0.892195, Average Loss  0.880994, Time  0.356878
2021-09-08 18:05:26.212207 : Epoch  1, Batch   3055, Loss  0.888524, Average Loss  0.881173, Time  0.393414
2021-09-08 18:05:27.976996 : Epoch  1, Batch   3056, Loss  0.854429, Average Loss  0.881127, Time  0.461668
2021-09-08 18:05:29.640925 : Epoch  1, Batch   3057, Loss  0.895775, Average Loss  0.881194, Time  0.357859
2021-09-08 18:05:31.291062 : Epoch  1, Batch   3058, Loss  0.862781, Average Loss  0.881106, Time  0.354839
2021-09-08 18:05:32.987431 : Epoch  1, Batch   3059, Loss  0.864977, Average Loss  0.881121, Time  0.387252
2021-09-08 18:05:34.743318 : Epoch  1, Batch   3060, Loss  0.853445, Average Loss  0.881160, Time  0.459810
2021-09-08 18:05:36.401665 : Epoch  1, Batch   3061, Loss  0.876193, Average Loss  0.881130, Time  0.355418
2021-09-08 18:05:38.050910 : Epoch  1, Batch   3062, Loss  0.885075, Average Loss  0.881361, Time  0.354771
2021-09-08 18:05:39.735745 : Epoch  1, Batch   3063, Loss  0.889283, Average Loss  0.881535, Time  0.395372
2021-09-08 18:05:41.502481 : Epoch  1, Batch   3064, Loss  0.898211, Average Loss  0.881739, Time  0.464792
2021-09-08 18:05:43.160540 : Epoch  1, Batch   3065, Loss  0.854154, Average Loss  0.881640, Time  0.355116
2021-09-08 18:05:44.820057 : Epoch  1, Batch   3066, Loss  0.887455, Average Loss  0.881728, Time  0.354577
2021-09-08 18:05:46.509570 : Epoch  1, Batch   3067, Loss  0.884593, Average Loss  0.881838, Time  0.387804
2021-09-08 18:05:48.274707 : Epoch  1, Batch   3068, Loss  0.868271, Average Loss  0.881747, Time  0.461006
2021-09-08 18:05:49.921419 : Epoch  1, Batch   3069, Loss  0.886030, Average Loss  0.881762, Time  0.356088
2021-09-08 18:05:51.583131 : Epoch  1, Batch   3070, Loss  0.872628, Average Loss  0.881659, Time  0.355980
2021-09-08 18:05:53.279786 : Epoch  1, Batch   3071, Loss  0.873730, Average Loss  0.881752, Time  0.391648
2021-09-08 18:05:55.047339 : Epoch  1, Batch   3072, Loss  0.895137, Average Loss  0.881919, Time  0.463217
2021-09-08 18:05:56.705147 : Epoch  1, Batch   3073, Loss  0.899611, Average Loss  0.881921, Time  0.353863
2021-09-08 18:05:58.348782 : Epoch  1, Batch   3074, Loss  0.884754, Average Loss  0.882038, Time  0.353126
2021-09-08 18:06:00.020691 : Epoch  1, Batch   3075, Loss  0.865942, Average Loss  0.882020, Time  0.390711
2021-09-08 18:06:01.776744 : Epoch  1, Batch   3076, Loss  0.872882, Average Loss  0.881940, Time  0.464207
2021-09-08 18:06:03.417648 : Epoch  1, Batch   3077, Loss  0.869462, Average Loss  0.881879, Time  0.354272
2021-09-08 18:06:05.059646 : Epoch  1, Batch   3078, Loss  0.874400, Average Loss  0.881905, Time  0.354083
2021-09-08 18:06:06.753084 : Epoch  1, Batch   3079, Loss  0.881264, Average Loss  0.881791, Time  0.390007
2021-09-08 18:06:08.527663 : Epoch  1, Batch   3080, Loss  0.851437, Average Loss  0.881708, Time  0.463065
2021-09-08 18:06:10.190574 : Epoch  1, Batch   3081, Loss  0.864303, Average Loss  0.881670, Time  0.355372
2021-09-08 18:06:11.853073 : Epoch  1, Batch   3082, Loss  0.901734, Average Loss  0.881851, Time  0.355118
2021-09-08 18:06:13.547628 : Epoch  1, Batch   3083, Loss  0.918575, Average Loss  0.882209, Time  0.391813
2021-09-08 18:06:15.320576 : Epoch  1, Batch   3084, Loss  0.881873, Average Loss  0.882319, Time  0.463919
2021-09-08 18:06:16.981191 : Epoch  1, Batch   3085, Loss  0.853696, Average Loss  0.882409, Time  0.355060
2021-09-08 18:06:18.639214 : Epoch  1, Batch   3086, Loss  0.875382, Average Loss  0.882493, Time  0.355445
2021-09-08 18:06:20.336758 : Epoch  1, Batch   3087, Loss  0.842909, Average Loss  0.882257, Time  0.393010
2021-09-08 18:06:22.101103 : Epoch  1, Batch   3088, Loss  0.859992, Average Loss  0.882185, Time  0.461758
2021-09-08 18:06:23.764712 : Epoch  1, Batch   3089, Loss  0.854179, Average Loss  0.881973, Time  0.356400
2021-09-08 18:06:25.422682 : Epoch  1, Batch   3090, Loss  0.846077, Average Loss  0.881716, Time  0.355202
2021-09-08 18:06:27.123066 : Epoch  1, Batch   3091, Loss  0.829007, Average Loss  0.881562, Time  0.394714
2021-09-08 18:06:28.893925 : Epoch  1, Batch   3092, Loss  0.875657, Average Loss  0.881589, Time  0.462826
2021-09-08 18:06:30.565392 : Epoch  1, Batch   3093, Loss  0.848776, Average Loss  0.881579, Time  0.355267
2021-09-08 18:06:32.232866 : Epoch  1, Batch   3094, Loss  0.849280, Average Loss  0.881358, Time  0.356016
2021-09-08 18:06:33.907088 : Epoch  1, Batch   3095, Loss  0.875564, Average Loss  0.881462, Time  0.389699
2021-09-08 18:06:35.653916 : Epoch  1, Batch   3096, Loss  0.863249, Average Loss  0.881264, Time  0.460526
2021-09-08 18:06:37.297112 : Epoch  1, Batch   3097, Loss  0.857334, Average Loss  0.881123, Time  0.353998
2021-09-08 18:06:38.938622 : Epoch  1, Batch   3098, Loss  0.859953, Average Loss  0.880908, Time  0.353397
2021-09-08 18:06:40.627196 : Epoch  1, Batch   3099, Loss  0.856100, Average Loss  0.880832, Time  0.386776
2021-09-08 18:06:42.397222 : Epoch  1, Batch   3100, Loss  0.866608, Average Loss  0.880818, Time  0.462102
2021-09-08 18:11:13.720710 : CheckPoint: Validation Loss  0.00061228, Best Loss  0.00058177
2021-09-08 18:11:15.367175 : Epoch  1, Batch   3101, Loss  0.870130, Average Loss  0.880828, Time  0.357268
2021-09-08 18:11:17.012986 : Epoch  1, Batch   3102, Loss  0.876157, Average Loss  0.880899, Time  0.354678
2021-09-08 18:11:18.694965 : Epoch  1, Batch   3103, Loss  0.871859, Average Loss  0.880825, Time  0.394955
2021-09-08 18:11:20.449620 : Epoch  1, Batch   3104, Loss  0.866447, Average Loss  0.880673, Time  0.466804
2021-09-08 18:11:22.081762 : Epoch  1, Batch   3105, Loss  0.859434, Average Loss  0.880598, Time  0.354033
2021-09-08 18:11:23.726403 : Epoch  1, Batch   3106, Loss  0.855476, Average Loss  0.880485, Time  0.353539
2021-09-08 18:11:25.404572 : Epoch  1, Batch   3107, Loss  0.866368, Average Loss  0.880761, Time  0.391496
2021-09-08 18:11:27.174018 : Epoch  1, Batch   3108, Loss  0.881321, Average Loss  0.880847, Time  0.462720
2021-09-08 18:11:28.831894 : Epoch  1, Batch   3109, Loss  0.883710, Average Loss  0.880872, Time  0.355639
2021-09-08 18:11:30.492414 : Epoch  1, Batch   3110, Loss  0.894263, Average Loss  0.881042, Time  0.355104
2021-09-08 18:11:32.176613 : Epoch  1, Batch   3111, Loss  0.872162, Average Loss  0.881144, Time  0.392218
2021-09-08 18:11:33.924079 : Epoch  1, Batch   3112, Loss  0.871937, Average Loss  0.881198, Time  0.465585
2021-09-08 18:11:35.564265 : Epoch  1, Batch   3113, Loss  0.880229, Average Loss  0.881250, Time  0.353945
2021-09-08 18:11:37.203784 : Epoch  1, Batch   3114, Loss  0.863834, Average Loss  0.881305, Time  0.353787
2021-09-08 18:11:38.885859 : Epoch  1, Batch   3115, Loss  0.890328, Average Loss  0.881262, Time  0.392689
2021-09-08 18:11:40.629826 : Epoch  1, Batch   3116, Loss  0.867939, Average Loss  0.881272, Time  0.463629
2021-09-08 18:11:42.284544 : Epoch  1, Batch   3117, Loss  0.885921, Average Loss  0.881499, Time  0.354736
2021-09-08 18:11:43.942535 : Epoch  1, Batch   3118, Loss  0.871182, Average Loss  0.881583, Time  0.355143
2021-09-08 18:11:45.637190 : Epoch  1, Batch   3119, Loss  0.906151, Average Loss  0.881651, Time  0.390631
2021-09-08 18:11:47.402596 : Epoch  1, Batch   3120, Loss  0.848127, Average Loss  0.881636, Time  0.462290
2021-09-08 18:11:49.058061 : Epoch  1, Batch   3121, Loss  0.892669, Average Loss  0.881794, Time  0.354158
2021-09-08 18:11:50.714629 : Epoch  1, Batch   3122, Loss  0.833644, Average Loss  0.881483, Time  0.355216
2021-09-08 18:11:52.407622 : Epoch  1, Batch   3123, Loss  0.888761, Average Loss  0.881587, Time  0.400437
2021-09-08 18:11:54.160240 : Epoch  1, Batch   3124, Loss  0.898314, Average Loss  0.881737, Time  0.465280
2021-09-08 18:11:55.815563 : Epoch  1, Batch   3125, Loss  0.884322, Average Loss  0.881923, Time  0.353694
2021-09-08 18:11:57.477707 : Epoch  1, Batch   3126, Loss  0.860051, Average Loss  0.881779, Time  0.355085
2021-09-08 18:11:59.180144 : Epoch  1, Batch   3127, Loss  0.872077, Average Loss  0.881871, Time  0.394838
2021-09-08 18:12:00.945362 : Epoch  1, Batch   3128, Loss  0.885400, Average Loss  0.881784, Time  0.461984
2021-09-08 18:12:02.605999 : Epoch  1, Batch   3129, Loss  0.834607, Average Loss  0.881609, Time  0.356376
2021-09-08 18:12:04.255786 : Epoch  1, Batch   3130, Loss  0.831081, Average Loss  0.881330, Time  0.354209
2021-09-08 18:12:05.956054 : Epoch  1, Batch   3131, Loss  0.875913, Average Loss  0.881533, Time  0.395968
2021-09-08 18:12:07.720037 : Epoch  1, Batch   3132, Loss  0.896495, Average Loss  0.881552, Time  0.461857
2021-09-08 18:12:09.383204 : Epoch  1, Batch   3133, Loss  0.864692, Average Loss  0.881538, Time  0.356420
2021-09-08 18:12:11.031633 : Epoch  1, Batch   3134, Loss  0.858853, Average Loss  0.881417, Time  0.353140
2021-09-08 18:12:12.708087 : Epoch  1, Batch   3135, Loss  0.877400, Average Loss  0.881638, Time  0.391144
2021-09-08 18:12:14.457942 : Epoch  1, Batch   3136, Loss  0.898936, Average Loss  0.881717, Time  0.464058
2021-09-08 18:12:16.101277 : Epoch  1, Batch   3137, Loss  0.915095, Average Loss  0.882021, Time  0.354448
2021-09-08 18:12:17.738702 : Epoch  1, Batch   3138, Loss  0.847046, Average Loss  0.881914, Time  0.354080
2021-09-08 18:12:19.421229 : Epoch  1, Batch   3139, Loss  0.889541, Average Loss  0.882117, Time  0.388552
2021-09-08 18:12:21.172128 : Epoch  1, Batch   3140, Loss  0.843899, Average Loss  0.882078, Time  0.463102
2021-09-08 18:12:22.812128 : Epoch  1, Batch   3141, Loss  0.876984, Average Loss  0.882102, Time  0.357628
2021-09-08 18:12:24.466563 : Epoch  1, Batch   3142, Loss  0.902648, Average Loss  0.882423, Time  0.355040
2021-09-08 18:12:26.170054 : Epoch  1, Batch   3143, Loss  0.874265, Average Loss  0.882458, Time  0.396341
2021-09-08 18:12:27.945090 : Epoch  1, Batch   3144, Loss  0.853094, Average Loss  0.882273, Time  0.465062
2021-09-08 18:12:29.604622 : Epoch  1, Batch   3145, Loss  0.893257, Average Loss  0.882388, Time  0.354848
2021-09-08 18:12:31.258812 : Epoch  1, Batch   3146, Loss  0.864859, Average Loss  0.882325, Time  0.354944
2021-09-08 18:12:32.949973 : Epoch  1, Batch   3147, Loss  0.872975, Average Loss  0.882209, Time  0.388102
2021-09-08 18:12:34.696845 : Epoch  1, Batch   3148, Loss  0.861405, Average Loss  0.882157, Time  0.464852
2021-09-08 18:12:36.338150 : Epoch  1, Batch   3149, Loss  0.885058, Average Loss  0.882131, Time  0.354586
2021-09-08 18:12:37.978726 : Epoch  1, Batch   3150, Loss  0.872269, Average Loss  0.882174, Time  0.355083
2021-09-08 18:12:39.673730 : Epoch  1, Batch   3151, Loss  0.857710, Average Loss  0.882111, Time  0.388530
2021-09-08 18:12:41.445239 : Epoch  1, Batch   3152, Loss  0.852514, Average Loss  0.881992, Time  0.462854
2021-09-08 18:12:43.101223 : Epoch  1, Batch   3153, Loss  0.847281, Average Loss  0.881758, Time  0.355633
2021-09-08 18:12:44.740617 : Epoch  1, Batch   3154, Loss  0.861175, Average Loss  0.881794, Time  0.354377
2021-09-08 18:12:46.429433 : Epoch  1, Batch   3155, Loss  0.845987, Average Loss  0.881551, Time  0.398757
2021-09-08 18:12:48.195992 : Epoch  1, Batch   3156, Loss  0.876206, Average Loss  0.881630, Time  0.460331
2021-09-08 18:12:49.850310 : Epoch  1, Batch   3157, Loss  0.880631, Average Loss  0.881558, Time  0.355441
2021-09-08 18:12:51.511903 : Epoch  1, Batch   3158, Loss  0.857324, Average Loss  0.881410, Time  0.354991
2021-09-08 18:12:53.203718 : Epoch  1, Batch   3159, Loss  0.887958, Average Loss  0.881644, Time  0.397956
2021-09-08 18:12:54.959434 : Epoch  1, Batch   3160, Loss  0.869513, Average Loss  0.881605, Time  0.465062
2021-09-08 18:12:56.608984 : Epoch  1, Batch   3161, Loss  0.912943, Average Loss  0.881863, Time  0.354900
2021-09-08 18:12:58.247637 : Epoch  1, Batch   3162, Loss  0.862092, Average Loss  0.881765, Time  0.354780
2021-09-08 18:12:59.936323 : Epoch  1, Batch   3163, Loss  0.879239, Average Loss  0.881871, Time  0.386692
2021-09-08 18:13:01.702314 : Epoch  1, Batch   3164, Loss  0.887923, Average Loss  0.882037, Time  0.463110
2021-09-08 18:13:03.359230 : Epoch  1, Batch   3165, Loss  0.866329, Average Loss  0.882031, Time  0.354935
2021-09-08 18:13:05.016541 : Epoch  1, Batch   3166, Loss  0.851742, Average Loss  0.882036, Time  0.355626
2021-09-08 18:13:06.714662 : Epoch  1, Batch   3167, Loss  0.870412, Average Loss  0.882004, Time  0.400031
2021-09-08 18:13:08.479699 : Epoch  1, Batch   3168, Loss  0.855338, Average Loss  0.881819, Time  0.462280
2021-09-08 18:13:10.132465 : Epoch  1, Batch   3169, Loss  0.854399, Average Loss  0.881866, Time  0.354118
2021-09-08 18:13:11.781636 : Epoch  1, Batch   3170, Loss  0.860453, Average Loss  0.881722, Time  0.354310
2021-09-08 18:13:13.477643 : Epoch  1, Batch   3171, Loss  0.853343, Average Loss  0.881576, Time  0.391283
2021-09-08 18:13:15.224937 : Epoch  1, Batch   3172, Loss  0.855582, Average Loss  0.881590, Time  0.463087
2021-09-08 18:13:16.863640 : Epoch  1, Batch   3173, Loss  0.860656, Average Loss  0.881689, Time  0.355852
2021-09-08 18:13:18.514695 : Epoch  1, Batch   3174, Loss  0.879781, Average Loss  0.881807, Time  0.356687
2021-09-08 18:13:20.209166 : Epoch  1, Batch   3175, Loss  0.887085, Average Loss  0.881808, Time  0.400246
2021-09-08 18:13:21.971195 : Epoch  1, Batch   3176, Loss  0.877580, Average Loss  0.881862, Time  0.463510
2021-09-08 18:13:23.629863 : Epoch  1, Batch   3177, Loss  0.868996, Average Loss  0.881934, Time  0.354447
2021-09-08 18:13:25.288762 : Epoch  1, Batch   3178, Loss  0.901950, Average Loss  0.882174, Time  0.353127
2021-09-08 18:13:26.971680 : Epoch  1, Batch   3179, Loss  0.855098, Average Loss  0.882008, Time  0.396944
2021-09-08 18:13:28.731823 : Epoch  1, Batch   3180, Loss  0.880102, Average Loss  0.881961, Time  0.463394
2021-09-08 18:13:30.368799 : Epoch  1, Batch   3181, Loss  0.861691, Average Loss  0.882006, Time  0.357928
2021-09-08 18:13:32.024688 : Epoch  1, Batch   3182, Loss  0.880257, Average Loss  0.882061, Time  0.354830
2021-09-08 18:13:33.722388 : Epoch  1, Batch   3183, Loss  0.877891, Average Loss  0.881948, Time  0.398134
2021-09-08 18:13:35.485513 : Epoch  1, Batch   3184, Loss  0.891662, Average Loss  0.882092, Time  0.463252
2021-09-08 18:13:37.155365 : Epoch  1, Batch   3185, Loss  0.882087, Average Loss  0.882236, Time  0.353827
2021-09-08 18:13:38.810660 : Epoch  1, Batch   3186, Loss  0.847875, Average Loss  0.882243, Time  0.353537
2021-09-08 18:13:40.501623 : Epoch  1, Batch   3187, Loss  0.865181, Average Loss  0.882297, Time  0.392536
2021-09-08 18:13:42.257651 : Epoch  1, Batch   3188, Loss  0.885776, Average Loss  0.882344, Time  0.462403
2021-09-08 18:13:43.909719 : Epoch  1, Batch   3189, Loss  0.885272, Average Loss  0.882365, Time  0.354373
2021-09-08 18:13:45.563950 : Epoch  1, Batch   3190, Loss  0.882945, Average Loss  0.882422, Time  0.354636
2021-09-08 18:13:47.255404 : Epoch  1, Batch   3191, Loss  0.887824, Average Loss  0.882492, Time  0.395745
2021-09-08 18:13:49.003909 : Epoch  1, Batch   3192, Loss  0.886154, Average Loss  0.882568, Time  0.464438
2021-09-08 18:13:50.641629 : Epoch  1, Batch   3193, Loss  0.878305, Average Loss  0.882516, Time  0.355109
2021-09-08 18:13:52.283530 : Epoch  1, Batch   3194, Loss  0.875334, Average Loss  0.882462, Time  0.354382
2021-09-08 18:13:53.979083 : Epoch  1, Batch   3195, Loss  0.862401, Average Loss  0.882328, Time  0.391437
2021-09-08 18:13:55.742247 : Epoch  1, Batch   3196, Loss  0.884721, Average Loss  0.882424, Time  0.462892
2021-09-08 18:13:57.379176 : Epoch  1, Batch   3197, Loss  0.830184, Average Loss  0.882067, Time  0.354566
2021-09-08 18:13:59.014512 : Epoch  1, Batch   3198, Loss  0.859468, Average Loss  0.881996, Time  0.354364
2021-09-08 18:14:00.693475 : Epoch  1, Batch   3199, Loss  0.848457, Average Loss  0.881708, Time  0.401334
2021-09-08 18:14:02.439722 : Epoch  1, Batch   3200, Loss  0.847576, Average Loss  0.881500, Time  0.463343
2021-09-08 18:18:34.050549 : CheckPoint: Validation Loss  0.00061585, Best Loss  0.00058177
2021-09-08 18:18:35.691109 : Epoch  1, Batch   3201, Loss  0.888964, Average Loss  0.881248, Time  0.357518
2021-09-08 18:18:37.323326 : Epoch  1, Batch   3202, Loss  0.843054, Average Loss  0.881121, Time  0.354011
2021-09-08 18:18:39.001501 : Epoch  1, Batch   3203, Loss  0.905547, Average Loss  0.881401, Time  0.398925
2021-09-08 18:18:40.745083 : Epoch  1, Batch   3204, Loss  0.847633, Average Loss  0.881217, Time  0.463233
2021-09-08 18:18:42.379493 : Epoch  1, Batch   3205, Loss  0.868408, Average Loss  0.881110, Time  0.353539
2021-09-08 18:18:44.037045 : Epoch  1, Batch   3206, Loss  0.846347, Average Loss  0.880884, Time  0.356602
2021-09-08 18:18:45.742008 : Epoch  1, Batch   3207, Loss  0.835084, Average Loss  0.880735, Time  0.403465
2021-09-08 18:18:47.521568 : Epoch  1, Batch   3208, Loss  0.851798, Average Loss  0.880690, Time  0.464335
2021-09-08 18:18:49.160644 : Epoch  1, Batch   3209, Loss  0.880733, Average Loss  0.880815, Time  0.354907
2021-09-08 18:18:50.796752 : Epoch  1, Batch   3210, Loss  0.840824, Average Loss  0.880687, Time  0.353594
2021-09-08 18:18:52.470004 : Epoch  1, Batch   3211, Loss  0.870093, Average Loss  0.880791, Time  0.395497
2021-09-08 18:18:54.216518 : Epoch  1, Batch   3212, Loss  0.876162, Average Loss  0.880873, Time  0.463825
2021-09-08 18:18:55.861581 : Epoch  1, Batch   3213, Loss  0.851571, Average Loss  0.880801, Time  0.353784
2021-09-08 18:18:57.497213 : Epoch  1, Batch   3214, Loss  0.893013, Average Loss  0.880784, Time  0.354593
2021-09-08 18:18:59.174955 : Epoch  1, Batch   3215, Loss  0.864840, Average Loss  0.880825, Time  0.399862
2021-09-08 18:19:00.924112 : Epoch  1, Batch   3216, Loss  0.884677, Average Loss  0.880913, Time  0.463259
2021-09-08 18:19:02.571941 : Epoch  1, Batch   3217, Loss  0.885746, Average Loss  0.880960, Time  0.355739
2021-09-08 18:19:04.229477 : Epoch  1, Batch   3218, Loss  0.881767, Average Loss  0.880927, Time  0.355249
2021-09-08 18:19:05.928657 : Epoch  1, Batch   3219, Loss  0.883899, Average Loss  0.880970, Time  0.398476
2021-09-08 18:19:07.691015 : Epoch  1, Batch   3220, Loss  0.888053, Average Loss  0.881087, Time  0.462421
2021-09-08 18:19:09.324103 : Epoch  1, Batch   3221, Loss  0.864329, Average Loss  0.880912, Time  0.353764
2021-09-08 18:19:10.994543 : Epoch  1, Batch   3222, Loss  0.885930, Average Loss  0.881029, Time  0.355370
2021-09-08 18:19:12.699949 : Epoch  1, Batch   3223, Loss  0.869892, Average Loss  0.880882, Time  0.398493
2021-09-08 18:19:14.472651 : Epoch  1, Batch   3224, Loss  0.896261, Average Loss  0.880753, Time  0.463952
2021-09-08 18:19:16.144207 : Epoch  1, Batch   3225, Loss  0.873301, Average Loss  0.880164, Time  0.356625
2021-09-08 18:19:17.799208 : Epoch  1, Batch   3226, Loss  0.845766, Average Loss  0.879043, Time  0.356882
2021-09-08 18:19:19.494406 : Epoch  1, Batch   3227, Loss  0.874020, Average Loss  0.878960, Time  0.381689
2021-09-08 18:19:21.260078 : Epoch  1, Batch   3228, Loss  0.872541, Average Loss  0.878697, Time  0.464576
2021-09-08 18:19:22.908669 : Epoch  1, Batch   3229, Loss  0.851062, Average Loss  0.878393, Time  0.356071
2021-09-08 18:19:24.564416 : Epoch  1, Batch   3230, Loss  0.900798, Average Loss  0.877794, Time  0.354049
2021-09-08 18:19:26.252341 : Epoch  1, Batch   3231, Loss  0.889012, Average Loss  0.877491, Time  0.384565
2021-09-08 18:19:28.024414 : Epoch  1, Batch   3232, Loss  0.869918, Average Loss  0.876481, Time  0.463572
2021-09-08 18:19:29.679793 : Epoch  1, Batch   3233, Loss  0.886197, Average Loss  0.876228, Time  0.355696
2021-09-08 18:19:31.343551 : Epoch  1, Batch   3234, Loss  0.851226, Average Loss  0.875370, Time  0.354899
2021-09-08 18:19:33.038407 : Epoch  1, Batch   3235, Loss  0.865670, Average Loss  0.874743, Time  0.390656
2021-09-08 18:19:34.814706 : Epoch  1, Batch   3236, Loss  0.881768, Average Loss  0.874118, Time  0.463582
2021-09-08 18:19:36.457403 : Epoch  1, Batch   3237, Loss  0.859258, Average Loss  0.873001, Time  0.354250
2021-09-08 18:19:38.098206 : Epoch  1, Batch   3238, Loss  0.885786, Average Loss  0.872692, Time  0.353920
2021-09-08 18:19:39.788940 : Epoch  1, Batch   3239, Loss  0.900892, Average Loss  0.872557, Time  0.394255
2021-09-08 18:19:41.553239 : Epoch  1, Batch   3240, Loss  0.863230, Average Loss  0.872315, Time  0.464566
2021-09-08 18:19:43.209808 : Epoch  1, Batch   3241, Loss  0.856017, Average Loss  0.872013, Time  0.355171
2021-09-08 18:19:44.864386 : Epoch  1, Batch   3242, Loss  0.880363, Average Loss  0.871928, Time  0.354071
2021-09-08 18:19:46.551992 : Epoch  1, Batch   3243, Loss  0.887713, Average Loss  0.871952, Time  0.393523
2021-09-08 18:19:48.326527 : Epoch  1, Batch   3244, Loss  0.892433, Average Loss  0.871878, Time  0.463823
2021-09-08 18:19:49.985849 : Epoch  1, Batch   3245, Loss  0.903128, Average Loss  0.871816, Time  0.353677
2021-09-08 18:19:51.632098 : Epoch  1, Batch   3246, Loss  0.864888, Average Loss  0.871836, Time  0.354020
2021-09-08 18:19:53.311348 : Epoch  1, Batch   3247, Loss  0.863241, Average Loss  0.871752, Time  0.387997
2021-09-08 18:19:55.020761 : Epoch  1, Batch   3248, Loss  0.862020, Average Loss  0.871797, Time  0.465965
2021-09-08 18:19:56.625177 : Epoch  1, Batch   3249, Loss  0.882006, Average Loss  0.871884, Time  0.351997
2021-09-08 18:19:58.215932 : Epoch  1, Batch   3250, Loss  0.885367, Average Loss  0.871751, Time  0.352586
2021-09-08 18:19:59.881012 : Epoch  1, Batch   3251, Loss  0.868486, Average Loss  0.871768, Time  0.405326
2021-09-08 18:20:01.584834 : Epoch  1, Batch   3252, Loss  0.889507, Average Loss  0.871994, Time  0.463519
2021-09-08 18:20:03.186613 : Epoch  1, Batch   3253, Loss  0.873953, Average Loss  0.872070, Time  0.356564
2021-09-08 18:20:04.784131 : Epoch  1, Batch   3254, Loss  0.890625, Average Loss  0.872062, Time  0.352388
2021-09-08 18:20:06.431989 : Epoch  1, Batch   3255, Loss  0.841341, Average Loss  0.871827, Time  0.408848
2021-09-08 18:20:08.147773 : Epoch  1, Batch   3256, Loss  0.882117, Average Loss  0.871965, Time  0.468006
2021-09-08 18:20:09.741637 : Epoch  1, Batch   3257, Loss  0.850116, Average Loss  0.871737, Time  0.352095
2021-09-08 18:20:11.345458 : Epoch  1, Batch   3258, Loss  0.843057, Average Loss  0.871638, Time  0.353790
2021-09-08 18:20:13.002646 : Epoch  1, Batch   3259, Loss  0.882597, Average Loss  0.871726, Time  0.403299
2021-09-08 18:20:14.763855 : Epoch  1, Batch   3260, Loss  0.878289, Average Loss  0.871850, Time  0.466853
2021-09-08 18:20:16.364767 : Epoch  1, Batch   3261, Loss  0.861040, Average Loss  0.871775, Time  0.352998
2021-09-08 18:20:17.975394 : Epoch  1, Batch   3262, Loss  0.870323, Average Loss  0.871701, Time  0.353434
2021-09-08 18:20:19.627129 : Epoch  1, Batch   3263, Loss  0.868917, Average Loss  0.871599, Time  0.399859
2021-09-08 18:20:21.342455 : Epoch  1, Batch   3264, Loss  0.871214, Average Loss  0.871464, Time  0.466547
2021-09-08 18:20:22.946808 : Epoch  1, Batch   3265, Loss  0.866023, Average Loss  0.871523, Time  0.352728
2021-09-08 18:20:24.549962 : Epoch  1, Batch   3266, Loss  0.856568, Average Loss  0.871369, Time  0.352415
2021-09-08 18:20:26.200946 : Epoch  1, Batch   3267, Loss  0.890454, Average Loss  0.871398, Time  0.401296
2021-09-08 18:20:27.910784 : Epoch  1, Batch   3268, Loss  0.857030, Average Loss  0.871342, Time  0.467047
2021-09-08 18:20:29.515740 : Epoch  1, Batch   3269, Loss  0.883698, Average Loss  0.871330, Time  0.352674
2021-09-08 18:20:31.123779 : Epoch  1, Batch   3270, Loss  0.874423, Average Loss  0.871339, Time  0.353525
2021-09-08 18:20:32.794665 : Epoch  1, Batch   3271, Loss  0.845130, Average Loss  0.871196, Time  0.400457
2021-09-08 18:20:34.519469 : Epoch  1, Batch   3272, Loss  0.853781, Average Loss  0.870990, Time  0.468471
2021-09-08 18:20:36.125532 : Epoch  1, Batch   3273, Loss  0.870666, Average Loss  0.870845, Time  0.353651
2021-09-08 18:20:37.730653 : Epoch  1, Batch   3274, Loss  0.858963, Average Loss  0.870716, Time  0.353260
2021-09-08 18:20:39.377011 : Epoch  1, Batch   3275, Loss  0.880820, Average Loss  0.870790, Time  0.398877
2021-09-08 18:20:41.104236 : Epoch  1, Batch   3276, Loss  0.868265, Average Loss  0.870767, Time  0.467200
2021-09-08 18:20:42.716434 : Epoch  1, Batch   3277, Loss  0.875534, Average Loss  0.870798, Time  0.352939
2021-09-08 18:20:44.335261 : Epoch  1, Batch   3278, Loss  0.890750, Average Loss  0.870879, Time  0.353847
2021-09-08 18:20:45.991088 : Epoch  1, Batch   3279, Loss  0.861311, Average Loss  0.870780, Time  0.397201
2021-09-08 18:20:47.741620 : Epoch  1, Batch   3280, Loss  0.867228, Average Loss  0.870859, Time  0.463708
2021-09-08 18:20:49.405051 : Epoch  1, Batch   3281, Loss  0.867124, Average Loss  0.870873, Time  0.353223
2021-09-08 18:20:51.061390 : Epoch  1, Batch   3282, Loss  0.887429, Average Loss  0.870801, Time  0.355699
2021-09-08 18:20:52.755823 : Epoch  1, Batch   3283, Loss  0.890103, Average Loss  0.870659, Time  0.395094
2021-09-08 18:20:54.539976 : Epoch  1, Batch   3284, Loss  0.865247, Average Loss  0.870576, Time  0.462209
2021-09-08 18:20:56.172319 : Epoch  1, Batch   3285, Loss  0.873512, Average Loss  0.870675, Time  0.354629
2021-09-08 18:20:57.817069 : Epoch  1, Batch   3286, Loss  0.863374, Average Loss  0.870615, Time  0.354089
2021-09-08 18:20:59.501258 : Epoch  1, Batch   3287, Loss  0.882072, Average Loss  0.870810, Time  0.398772
2021-09-08 18:21:01.257629 : Epoch  1, Batch   3288, Loss  0.818278, Average Loss  0.870602, Time  0.462283
2021-09-08 18:21:02.913689 : Epoch  1, Batch   3289, Loss  0.897478, Average Loss  0.870818, Time  0.355095
2021-09-08 18:21:04.555356 : Epoch  1, Batch   3290, Loss  0.874363, Average Loss  0.870960, Time  0.354142
2021-09-08 18:21:06.237704 : Epoch  1, Batch   3291, Loss  0.842646, Average Loss  0.871028, Time  0.398157
2021-09-08 18:21:07.992963 : Epoch  1, Batch   3292, Loss  0.844570, Average Loss  0.870873, Time  0.460967
2021-09-08 18:21:09.652053 : Epoch  1, Batch   3293, Loss  0.889240, Average Loss  0.871075, Time  0.354191
2021-09-08 18:21:11.310968 : Epoch  1, Batch   3294, Loss  0.871696, Average Loss  0.871187, Time  0.355188
2021-09-08 18:21:13.011197 : Epoch  1, Batch   3295, Loss  0.860377, Average Loss  0.871111, Time  0.400400
2021-09-08 18:21:14.786766 : Epoch  1, Batch   3296, Loss  0.909036, Average Loss  0.871340, Time  0.461844
2021-09-08 18:21:16.442937 : Epoch  1, Batch   3297, Loss  0.866003, Average Loss  0.871383, Time  0.353607
2021-09-08 18:21:18.105053 : Epoch  1, Batch   3298, Loss  0.845946, Average Loss  0.871313, Time  0.354449
2021-09-08 18:21:19.792395 : Epoch  1, Batch   3299, Loss  0.840818, Average Loss  0.871237, Time  0.389425
2021-09-08 18:21:21.539081 : Epoch  1, Batch   3300, Loss  0.883865, Average Loss  0.871323, Time  0.464350
2021-09-08 18:25:52.351307 : CheckPoint: Validation Loss  0.00061681, Best Loss  0.00058177
2021-09-08 18:25:54.097975 : Epoch  1, Batch   3301, Loss  0.867027, Average Loss  0.871308, Time  0.446863
2021-09-08 18:25:55.858843 : Epoch  1, Batch   3302, Loss  0.866303, Average Loss  0.871258, Time  0.461590
2021-09-08 18:25:57.520532 : Epoch  1, Batch   3303, Loss  0.864247, Average Loss  0.871220, Time  0.354967
2021-09-08 18:25:59.184921 : Epoch  1, Batch   3304, Loss  0.859625, Average Loss  0.871186, Time  0.355942
2021-09-08 18:26:00.883180 : Epoch  1, Batch   3305, Loss  0.857220, Average Loss  0.871175, Time  0.401107
2021-09-08 18:26:02.643225 : Epoch  1, Batch   3306, Loss  0.861110, Average Loss  0.871203, Time  0.461791
2021-09-08 18:26:04.303698 : Epoch  1, Batch   3307, Loss  0.830368, Average Loss  0.871023, Time  0.354894
2021-09-08 18:26:05.962216 : Epoch  1, Batch   3308, Loss  0.893953, Average Loss  0.871086, Time  0.355053
2021-09-08 18:26:07.660353 : Epoch  1, Batch   3309, Loss  0.865668, Average Loss  0.870996, Time  0.397319
2021-09-08 18:26:09.412380 : Epoch  1, Batch   3310, Loss  0.860970, Average Loss  0.870830, Time  0.462831
2021-09-08 18:26:11.063296 : Epoch  1, Batch   3311, Loss  0.859715, Average Loss  0.870768, Time  0.354672
2021-09-08 18:26:12.709809 : Epoch  1, Batch   3312, Loss  0.869239, Average Loss  0.870754, Time  0.355238
2021-09-08 18:26:14.390790 : Epoch  1, Batch   3313, Loss  0.896572, Average Loss  0.870836, Time  0.396530
2021-09-08 18:26:16.150647 : Epoch  1, Batch   3314, Loss  0.862833, Average Loss  0.870831, Time  0.463251
2021-09-08 18:26:17.807759 : Epoch  1, Batch   3315, Loss  0.901735, Average Loss  0.870888, Time  0.355258
2021-09-08 18:26:19.466526 : Epoch  1, Batch   3316, Loss  0.878920, Average Loss  0.870943, Time  0.354460
2021-09-08 18:26:21.152515 : Epoch  1, Batch   3317, Loss  0.881041, Average Loss  0.870918, Time  0.402311
2021-09-08 18:26:22.900384 : Epoch  1, Batch   3318, Loss  0.856344, Average Loss  0.870844, Time  0.462828
2021-09-08 18:26:24.542823 : Epoch  1, Batch   3319, Loss  0.862592, Average Loss  0.870626, Time  0.353528
2021-09-08 18:26:26.189636 : Epoch  1, Batch   3320, Loss  0.851645, Average Loss  0.870644, Time  0.354684
2021-09-08 18:26:27.866347 : Epoch  1, Batch   3321, Loss  0.853168, Average Loss  0.870446, Time  0.389024
2021-09-08 18:26:29.634738 : Epoch  1, Batch   3322, Loss  0.871213, Average Loss  0.870634, Time  0.463445
2021-09-08 18:26:31.301138 : Epoch  1, Batch   3323, Loss  0.855461, Average Loss  0.870468, Time  0.354779
2021-09-08 18:26:32.959984 : Epoch  1, Batch   3324, Loss  0.835573, Average Loss  0.870154, Time  0.355002
2021-09-08 18:26:34.640745 : Epoch  1, Batch   3325, Loss  0.879030, Average Loss  0.870128, Time  0.395387
2021-09-08 18:26:36.399811 : Epoch  1, Batch   3326, Loss  0.855806, Average Loss  0.870106, Time  0.464462
2021-09-08 18:26:38.061780 : Epoch  1, Batch   3327, Loss  0.895762, Average Loss  0.870225, Time  0.354630
2021-09-08 18:26:39.709374 : Epoch  1, Batch   3328, Loss  0.882702, Average Loss  0.870211, Time  0.354847
2021-09-08 18:26:41.383937 : Epoch  1, Batch   3329, Loss  0.863920, Average Loss  0.870358, Time  0.389597
2021-09-08 18:26:43.149336 : Epoch  1, Batch   3330, Loss  0.891762, Average Loss  0.870661, Time  0.463736
2021-09-08 18:26:44.802475 : Epoch  1, Batch   3331, Loss  0.859991, Average Loss  0.870582, Time  0.354231
2021-09-08 18:26:46.444545 : Epoch  1, Batch   3332, Loss  0.856550, Average Loss  0.870382, Time  0.354532
2021-09-08 18:26:48.140884 : Epoch  1, Batch   3333, Loss  0.890753, Average Loss  0.870512, Time  0.390756
2021-09-08 18:26:49.904398 : Epoch  1, Batch   3334, Loss  0.877530, Average Loss  0.870606, Time  0.461804
2021-09-08 18:26:51.536631 : Epoch  1, Batch   3335, Loss  0.871999, Average Loss  0.870579, Time  0.353786
2021-09-08 18:26:53.190320 : Epoch  1, Batch   3336, Loss  0.876413, Average Loss  0.870466, Time  0.354853
2021-09-08 18:26:54.896699 : Epoch  1, Batch   3337, Loss  0.861270, Average Loss  0.870197, Time  0.397438
2021-09-08 18:26:56.661390 : Epoch  1, Batch   3338, Loss  0.860821, Average Loss  0.870266, Time  0.463310
2021-09-08 18:26:58.312498 : Epoch  1, Batch   3339, Loss  0.886780, Average Loss  0.870252, Time  0.355703
2021-09-08 18:26:59.973995 : Epoch  1, Batch   3340, Loss  0.889979, Average Loss  0.870482, Time  0.354749
2021-09-08 18:27:01.656997 : Epoch  1, Batch   3341, Loss  0.851150, Average Loss  0.870353, Time  0.396810
2021-09-08 18:27:03.414897 : Epoch  1, Batch   3342, Loss  0.869175, Average Loss  0.870186, Time  0.466084
2021-09-08 18:27:05.056563 : Epoch  1, Batch   3343, Loss  0.854759, Average Loss  0.870088, Time  0.356060
2021-09-08 18:27:06.701343 : Epoch  1, Batch   3344, Loss  0.886286, Average Loss  0.870254, Time  0.356611
2021-09-08 18:27:08.380406 : Epoch  1, Batch   3345, Loss  0.841811, Average Loss  0.869997, Time  0.376095
2021-09-08 18:27:10.153445 : Epoch  1, Batch   3346, Loss  0.866879, Average Loss  0.870007, Time  0.464521
2021-09-08 18:27:11.809237 : Epoch  1, Batch   3347, Loss  0.885410, Average Loss  0.870069, Time  0.354626
2021-09-08 18:27:13.475736 : Epoch  1, Batch   3348, Loss  0.869618, Average Loss  0.870110, Time  0.356322
2021-09-08 18:27:15.164990 : Epoch  1, Batch   3349, Loss  0.852194, Average Loss  0.869946, Time  0.382777
2021-09-08 18:27:16.923482 : Epoch  1, Batch   3350, Loss  0.866156, Average Loss  0.869915, Time  0.463368
2021-09-08 18:27:18.571188 : Epoch  1, Batch   3351, Loss  0.883695, Average Loss  0.870045, Time  0.355035
2021-09-08 18:27:20.239481 : Epoch  1, Batch   3352, Loss  0.876891, Average Loss  0.870167, Time  0.357359
2021-09-08 18:27:21.932730 : Epoch  1, Batch   3353, Loss  0.863579, Average Loss  0.870249, Time  0.383289
2021-09-08 18:27:23.687238 : Epoch  1, Batch   3354, Loss  0.909206, Average Loss  0.870489, Time  0.465714
2021-09-08 18:27:25.327555 : Epoch  1, Batch   3355, Loss  0.874686, Average Loss  0.870632, Time  0.353367
2021-09-08 18:27:26.975328 : Epoch  1, Batch   3356, Loss  0.869959, Average Loss  0.870601, Time  0.356869
2021-09-08 18:27:28.636178 : Epoch  1, Batch   3357, Loss  0.871870, Average Loss  0.870557, Time  0.381732
2021-09-08 18:27:30.402799 : Epoch  1, Batch   3358, Loss  0.869816, Average Loss  0.870620, Time  0.463111
2021-09-08 18:27:32.070927 : Epoch  1, Batch   3359, Loss  0.852374, Average Loss  0.870442, Time  0.356342
2021-09-08 18:27:33.729692 : Epoch  1, Batch   3360, Loss  0.874986, Average Loss  0.870469, Time  0.356314
2021-09-08 18:27:35.404403 : Epoch  1, Batch   3361, Loss  0.867681, Average Loss  0.870243, Time  0.375514
2021-09-08 18:27:37.179462 : Epoch  1, Batch   3362, Loss  0.865438, Average Loss  0.870260, Time  0.464046
2021-09-08 18:27:38.836286 : Epoch  1, Batch   3363, Loss  0.884218, Average Loss  0.870285, Time  0.355580
2021-09-08 18:27:40.493461 : Epoch  1, Batch   3364, Loss  0.856884, Average Loss  0.870129, Time  0.355656
2021-09-08 18:27:42.172088 : Epoch  1, Batch   3365, Loss  0.859710, Average Loss  0.870096, Time  0.384519
2021-09-08 18:27:43.940932 : Epoch  1, Batch   3366, Loss  0.847555, Average Loss  0.870075, Time  0.464511
2021-09-08 18:27:45.599469 : Epoch  1, Batch   3367, Loss  0.899542, Average Loss  0.870221, Time  0.355463
2021-09-08 18:27:47.244672 : Epoch  1, Batch   3368, Loss  0.858291, Average Loss  0.870236, Time  0.355523
2021-09-08 18:27:48.903651 : Epoch  1, Batch   3369, Loss  0.889270, Average Loss  0.870410, Time  0.370221
2021-09-08 18:27:50.659697 : Epoch  1, Batch   3370, Loss  0.867406, Average Loss  0.870445, Time  0.465104
2021-09-08 18:27:52.295043 : Epoch  1, Batch   3371, Loss  0.887580, Average Loss  0.870616, Time  0.355138
2021-09-08 18:27:53.936023 : Epoch  1, Batch   3372, Loss  0.876342, Average Loss  0.870720, Time  0.355744
2021-09-08 18:27:55.605446 : Epoch  1, Batch   3373, Loss  0.878480, Average Loss  0.870809, Time  0.378816
2021-09-08 18:27:57.352590 : Epoch  1, Batch   3374, Loss  0.852054, Average Loss  0.870670, Time  0.463434
2021-09-08 18:27:58.987813 : Epoch  1, Batch   3375, Loss  0.886797, Average Loss  0.870669, Time  0.355116
2021-09-08 18:28:00.640218 : Epoch  1, Batch   3376, Loss  0.840512, Average Loss  0.870484, Time  0.355216
2021-09-08 18:28:02.338926 : Epoch  1, Batch   3377, Loss  0.838865, Average Loss  0.870333, Time  0.394073
2021-09-08 18:28:04.110405 : Epoch  1, Batch   3378, Loss  0.894672, Average Loss  0.870297, Time  0.464020
2021-09-08 18:28:05.771140 : Epoch  1, Batch   3379, Loss  0.872028, Average Loss  0.870381, Time  0.356979
2021-09-08 18:28:07.441066 : Epoch  1, Batch   3380, Loss  0.886136, Average Loss  0.870411, Time  0.355083
2021-09-08 18:28:09.124695 : Epoch  1, Batch   3381, Loss  0.875289, Average Loss  0.870479, Time  0.376485
2021-09-08 18:28:10.897351 : Epoch  1, Batch   3382, Loss  0.856001, Average Loss  0.870358, Time  0.463926
2021-09-08 18:28:12.561567 : Epoch  1, Batch   3383, Loss  0.898504, Average Loss  0.870461, Time  0.356666
2021-09-08 18:28:14.203254 : Epoch  1, Batch   3384, Loss  0.847251, Average Loss  0.870239, Time  0.357116
2021-09-08 18:28:15.863088 : Epoch  1, Batch   3385, Loss  0.859158, Average Loss  0.870124, Time  0.375077
2021-09-08 18:28:17.619362 : Epoch  1, Batch   3386, Loss  0.861299, Average Loss  0.870192, Time  0.465974
2021-09-08 18:28:19.258845 : Epoch  1, Batch   3387, Loss  0.862103, Average Loss  0.870176, Time  0.355516
2021-09-08 18:28:20.906125 : Epoch  1, Batch   3388, Loss  0.869438, Average Loss  0.870094, Time  0.354910
2021-09-08 18:28:22.586778 : Epoch  1, Batch   3389, Loss  0.862047, Average Loss  0.869978, Time  0.380012
2021-09-08 18:28:24.357578 : Epoch  1, Batch   3390, Loss  0.877859, Average Loss  0.869953, Time  0.463500
2021-09-08 18:28:25.991664 : Epoch  1, Batch   3391, Loss  0.895125, Average Loss  0.869989, Time  0.354439
2021-09-08 18:28:27.650756 : Epoch  1, Batch   3392, Loss  0.859231, Average Loss  0.869855, Time  0.356286
2021-09-08 18:28:29.343441 : Epoch  1, Batch   3393, Loss  0.864711, Average Loss  0.869787, Time  0.389326
2021-09-08 18:28:31.095248 : Epoch  1, Batch   3394, Loss  0.857011, Average Loss  0.869695, Time  0.462821
2021-09-08 18:28:32.744134 : Epoch  1, Batch   3395, Loss  0.850033, Average Loss  0.869633, Time  0.355519
2021-09-08 18:28:34.406258 : Epoch  1, Batch   3396, Loss  0.879509, Average Loss  0.869607, Time  0.356025
2021-09-08 18:28:36.101692 : Epoch  1, Batch   3397, Loss  0.868996, Average Loss  0.869801, Time  0.385125
2021-09-08 18:28:37.876369 : Epoch  1, Batch   3398, Loss  0.875083, Average Loss  0.869879, Time  0.463044
2021-09-08 18:28:39.513006 : Epoch  1, Batch   3399, Loss  0.869947, Average Loss  0.869987, Time  0.355380
2021-09-08 18:28:41.156398 : Epoch  1, Batch   3400, Loss  0.846174, Average Loss  0.869980, Time  0.355260
2021-09-08 18:33:12.793297 : CheckPoint: Validation Loss  0.00060972, Best Loss  0.00058177
2021-09-08 18:33:14.430456 : Epoch  1, Batch   3401, Loss  0.878000, Average Loss  0.869925, Time  0.355032
2021-09-08 18:33:16.080708 : Epoch  1, Batch   3402, Loss  0.890957, Average Loss  0.870165, Time  0.353747
2021-09-08 18:33:17.776484 : Epoch  1, Batch   3403, Loss  0.881384, Average Loss  0.870044, Time  0.406253
2021-09-08 18:33:19.528473 : Epoch  1, Batch   3404, Loss  0.836134, Average Loss  0.869986, Time  0.462640
2021-09-08 18:33:21.169230 : Epoch  1, Batch   3405, Loss  0.893154, Average Loss  0.870110, Time  0.354375
2021-09-08 18:33:22.828516 : Epoch  1, Batch   3406, Loss  0.851396, Average Loss  0.870135, Time  0.353387
2021-09-08 18:33:24.522217 : Epoch  1, Batch   3407, Loss  0.908179, Average Loss  0.870501, Time  0.395413
2021-09-08 18:33:26.276345 : Epoch  1, Batch   3408, Loss  0.848391, Average Loss  0.870484, Time  0.464911
2021-09-08 18:33:27.940746 : Epoch  1, Batch   3409, Loss  0.882453, Average Loss  0.870492, Time  0.354550
2021-09-08 18:33:29.598571 : Epoch  1, Batch   3410, Loss  0.874717, Average Loss  0.870662, Time  0.354286
2021-09-08 18:33:31.289790 : Epoch  1, Batch   3411, Loss  0.883240, Average Loss  0.870727, Time  0.390928
2021-09-08 18:33:33.062364 : Epoch  1, Batch   3412, Loss  0.887351, Average Loss  0.870783, Time  0.462687
2021-09-08 18:33:34.718376 : Epoch  1, Batch   3413, Loss  0.888908, Average Loss  0.870970, Time  0.354596
2021-09-08 18:33:36.377281 : Epoch  1, Batch   3414, Loss  0.860785, Average Loss  0.870809, Time  0.354934
2021-09-08 18:33:38.074775 : Epoch  1, Batch   3415, Loss  0.842104, Average Loss  0.870695, Time  0.395676
2021-09-08 18:33:39.830189 : Epoch  1, Batch   3416, Loss  0.853664, Average Loss  0.870540, Time  0.465199
2021-09-08 18:33:41.485898 : Epoch  1, Batch   3417, Loss  0.866511, Average Loss  0.870444, Time  0.353543
2021-09-08 18:33:43.147370 : Epoch  1, Batch   3418, Loss  0.896730, Average Loss  0.870519, Time  0.354070
2021-09-08 18:33:44.837637 : Epoch  1, Batch   3419, Loss  0.867974, Average Loss  0.870439, Time  0.388400
2021-09-08 18:33:46.589672 : Epoch  1, Batch   3420, Loss  0.847194, Average Loss  0.870235, Time  0.462933
2021-09-08 18:33:48.230458 : Epoch  1, Batch   3421, Loss  0.855405, Average Loss  0.870190, Time  0.354016
2021-09-08 18:33:49.891028 : Epoch  1, Batch   3422, Loss  0.859081, Average Loss  0.870056, Time  0.354497
2021-09-08 18:33:51.589278 : Epoch  1, Batch   3423, Loss  0.845278, Average Loss  0.869933, Time  0.388214
2021-09-08 18:33:53.358631 : Epoch  1, Batch   3424, Loss  0.890912, Average Loss  0.869906, Time  0.462688
2021-09-08 18:33:55.018222 : Epoch  1, Batch   3425, Loss  0.858556, Average Loss  0.869833, Time  0.354766
2021-09-08 18:33:56.676771 : Epoch  1, Batch   3426, Loss  0.847561, Average Loss  0.869842, Time  0.354824
2021-09-08 18:33:58.367969 : Epoch  1, Batch   3427, Loss  0.862379, Average Loss  0.869783, Time  0.387832
2021-09-08 18:34:00.137649 : Epoch  1, Batch   3428, Loss  0.915907, Average Loss  0.870000, Time  0.461438
2021-09-08 18:34:01.795883 : Epoch  1, Batch   3429, Loss  0.834283, Average Loss  0.869916, Time  0.353932
2021-09-08 18:34:03.432878 : Epoch  1, Batch   3430, Loss  0.848245, Average Loss  0.869654, Time  0.352500
2021-09-08 18:34:05.110555 : Epoch  1, Batch   3431, Loss  0.886463, Average Loss  0.869641, Time  0.391420
2021-09-08 18:34:06.876132 : Epoch  1, Batch   3432, Loss  0.893586, Average Loss  0.869759, Time  0.465526
2021-09-08 18:34:08.516139 : Epoch  1, Batch   3433, Loss  0.870214, Average Loss  0.869679, Time  0.351885
2021-09-08 18:34:10.152948 : Epoch  1, Batch   3434, Loss  0.852670, Average Loss  0.869686, Time  0.354731
2021-09-08 18:34:11.820735 : Epoch  1, Batch   3435, Loss  0.871143, Average Loss  0.869714, Time  0.380855
2021-09-08 18:34:13.569493 : Epoch  1, Batch   3436, Loss  0.865779, Average Loss  0.869634, Time  0.465575
2021-09-08 18:34:15.210982 : Epoch  1, Batch   3437, Loss  0.855942, Average Loss  0.869617, Time  0.355153
2021-09-08 18:34:16.862515 : Epoch  1, Batch   3438, Loss  0.860010, Average Loss  0.869488, Time  0.355207
2021-09-08 18:34:18.548220 : Epoch  1, Batch   3439, Loss  0.877379, Average Loss  0.869371, Time  0.378855
2021-09-08 18:34:20.310953 : Epoch  1, Batch   3440, Loss  0.861025, Average Loss  0.869360, Time  0.459620
2021-09-08 18:34:21.951316 : Epoch  1, Batch   3441, Loss  0.875403, Average Loss  0.869457, Time  0.353853
2021-09-08 18:34:23.592423 : Epoch  1, Batch   3442, Loss  0.852083, Average Loss  0.869315, Time  0.353888
2021-09-08 18:34:25.275537 : Epoch  1, Batch   3443, Loss  0.884969, Average Loss  0.869302, Time  0.389124
2021-09-08 18:34:27.041347 : Epoch  1, Batch   3444, Loss  0.883998, Average Loss  0.869259, Time  0.461618
2021-09-08 18:34:28.680157 : Epoch  1, Batch   3445, Loss  0.870991, Average Loss  0.869099, Time  0.353215
2021-09-08 18:34:30.321392 : Epoch  1, Batch   3446, Loss  0.857438, Average Loss  0.869061, Time  0.352838
2021-09-08 18:34:31.992219 : Epoch  1, Batch   3447, Loss  0.851729, Average Loss  0.869004, Time  0.387973
2021-09-08 18:34:33.758708 : Epoch  1, Batch   3448, Loss  0.861393, Average Loss  0.869001, Time  0.462856
2021-09-08 18:34:35.415854 : Epoch  1, Batch   3449, Loss  0.868615, Average Loss  0.868934, Time  0.353708
2021-09-08 18:34:37.073791 : Epoch  1, Batch   3450, Loss  0.891090, Average Loss  0.868962, Time  0.353446
2021-09-08 18:34:38.758364 : Epoch  1, Batch   3451, Loss  0.883276, Average Loss  0.869036, Time  0.388121
2021-09-08 18:34:40.505702 : Epoch  1, Batch   3452, Loss  0.852933, Average Loss  0.868854, Time  0.465462
2021-09-08 18:34:42.142690 : Epoch  1, Batch   3453, Loss  0.852760, Average Loss  0.868748, Time  0.354591
2021-09-08 18:34:43.783020 : Epoch  1, Batch   3454, Loss  0.848848, Average Loss  0.868539, Time  0.354450
2021-09-08 18:34:45.463038 : Epoch  1, Batch   3455, Loss  0.897072, Average Loss  0.868817, Time  0.394545
2021-09-08 18:34:47.215169 : Epoch  1, Batch   3456, Loss  0.872685, Average Loss  0.868770, Time  0.463103
2021-09-08 18:34:48.854572 : Epoch  1, Batch   3457, Loss  0.884883, Average Loss  0.868944, Time  0.353406
2021-09-08 18:34:50.493093 : Epoch  1, Batch   3458, Loss  0.855444, Average Loss  0.869006, Time  0.352808
2021-09-08 18:34:52.177440 : Epoch  1, Batch   3459, Loss  0.855715, Average Loss  0.868872, Time  0.395064
2021-09-08 18:34:53.927514 : Epoch  1, Batch   3460, Loss  0.843109, Average Loss  0.868696, Time  0.463208
2021-09-08 18:34:55.584570 : Epoch  1, Batch   3461, Loss  0.857054, Average Loss  0.868676, Time  0.353707
2021-09-08 18:34:57.237101 : Epoch  1, Batch   3462, Loss  0.882111, Average Loss  0.868735, Time  0.352099
2021-09-08 18:34:58.915279 : Epoch  1, Batch   3463, Loss  0.891088, Average Loss  0.868845, Time  0.390389
2021-09-08 18:35:00.685551 : Epoch  1, Batch   3464, Loss  0.883367, Average Loss  0.868906, Time  0.462103
2021-09-08 18:35:02.350613 : Epoch  1, Batch   3465, Loss  0.875878, Average Loss  0.868956, Time  0.353589
2021-09-08 18:35:04.009105 : Epoch  1, Batch   3466, Loss  0.853275, Average Loss  0.868939, Time  0.354152
2021-09-08 18:35:05.704372 : Epoch  1, Batch   3467, Loss  0.899045, Average Loss  0.868982, Time  0.392699
2021-09-08 18:35:07.476542 : Epoch  1, Batch   3468, Loss  0.898457, Average Loss  0.869189, Time  0.463441
2021-09-08 18:35:09.132410 : Epoch  1, Batch   3469, Loss  0.889541, Average Loss  0.869218, Time  0.353182
2021-09-08 18:35:10.789950 : Epoch  1, Batch   3470, Loss  0.865548, Average Loss  0.869174, Time  0.355136
2021-09-08 18:35:12.466219 : Epoch  1, Batch   3471, Loss  0.852737, Average Loss  0.869212, Time  0.393385
2021-09-08 18:35:14.220934 : Epoch  1, Batch   3472, Loss  0.880855, Average Loss  0.869347, Time  0.462203
2021-09-08 18:35:15.887839 : Epoch  1, Batch   3473, Loss  0.864791, Average Loss  0.869318, Time  0.354738
2021-09-08 18:35:17.532920 : Epoch  1, Batch   3474, Loss  0.865067, Average Loss  0.869349, Time  0.352830
2021-09-08 18:35:19.223498 : Epoch  1, Batch   3475, Loss  0.889218, Average Loss  0.869391, Time  0.386452
2021-09-08 18:35:20.992129 : Epoch  1, Batch   3476, Loss  0.893592, Average Loss  0.869517, Time  0.463022
2021-09-08 18:35:22.654832 : Epoch  1, Batch   3477, Loss  0.878822, Average Loss  0.869534, Time  0.354879
2021-09-08 18:35:24.312147 : Epoch  1, Batch   3478, Loss  0.880413, Average Loss  0.869482, Time  0.354110
2021-09-08 18:35:25.996876 : Epoch  1, Batch   3479, Loss  0.863928, Average Loss  0.869495, Time  0.384745
2021-09-08 18:35:27.748998 : Epoch  1, Batch   3480, Loss  0.881713, Average Loss  0.869567, Time  0.463140
2021-09-08 18:35:29.402652 : Epoch  1, Batch   3481, Loss  0.833877, Average Loss  0.869401, Time  0.354339
2021-09-08 18:35:31.072561 : Epoch  1, Batch   3482, Loss  0.891249, Average Loss  0.869420, Time  0.355166
2021-09-08 18:35:32.732609 : Epoch  1, Batch   3483, Loss  0.860205, Average Loss  0.869271, Time  0.377334
2021-09-08 18:35:34.488516 : Epoch  1, Batch   3484, Loss  0.885599, Average Loss  0.869373, Time  0.462012
2021-09-08 18:35:36.138662 : Epoch  1, Batch   3485, Loss  0.906612, Average Loss  0.869538, Time  0.353556
2021-09-08 18:35:37.803642 : Epoch  1, Batch   3486, Loss  0.864293, Average Loss  0.869543, Time  0.354816
2021-09-08 18:35:39.486542 : Epoch  1, Batch   3487, Loss  0.862483, Average Loss  0.869445, Time  0.376207
2021-09-08 18:35:41.239555 : Epoch  1, Batch   3488, Loss  0.873405, Average Loss  0.869720, Time  0.464290
2021-09-08 18:35:42.890095 : Epoch  1, Batch   3489, Loss  0.848564, Average Loss  0.869476, Time  0.354083
2021-09-08 18:35:44.526872 : Epoch  1, Batch   3490, Loss  0.898454, Average Loss  0.869596, Time  0.354113
2021-09-08 18:35:46.219318 : Epoch  1, Batch   3491, Loss  0.875047, Average Loss  0.869758, Time  0.386491
2021-09-08 18:35:47.985118 : Epoch  1, Batch   3492, Loss  0.876383, Average Loss  0.869917, Time  0.461941
2021-09-08 18:35:49.647476 : Epoch  1, Batch   3493, Loss  0.847644, Average Loss  0.869709, Time  0.352748
2021-09-08 18:35:51.309978 : Epoch  1, Batch   3494, Loss  0.884397, Average Loss  0.869773, Time  0.354145
2021-09-08 18:35:53.002745 : Epoch  1, Batch   3495, Loss  0.877525, Average Loss  0.869859, Time  0.388424
2021-09-08 18:35:54.752664 : Epoch  1, Batch   3496, Loss  0.863999, Average Loss  0.869633, Time  0.463631
2021-09-08 18:35:56.391541 : Epoch  1, Batch   3497, Loss  0.847831, Average Loss  0.869543, Time  0.353455
2021-09-08 18:35:58.032552 : Epoch  1, Batch   3498, Loss  0.859583, Average Loss  0.869611, Time  0.353105
2021-09-08 18:35:59.706515 : Epoch  1, Batch   3499, Loss  0.874329, Average Loss  0.869778, Time  0.388393
2021-09-08 18:36:01.476332 : Epoch  1, Batch   3500, Loss  0.890398, Average Loss  0.869811, Time  0.464606
2021-09-08 18:40:31.988484 : CheckPoint: Validation Loss  0.00061022, Best Loss  0.00058177
2021-09-08 18:40:33.636301 : Epoch  1, Batch   3501, Loss  0.880676, Average Loss  0.869879, Time  0.355620
2021-09-08 18:40:35.282716 : Epoch  1, Batch   3502, Loss  0.900918, Average Loss  0.870052, Time  0.353377
2021-09-08 18:40:36.978435 : Epoch  1, Batch   3503, Loss  0.837434, Average Loss  0.869918, Time  0.385755
2021-09-08 18:40:38.735877 : Epoch  1, Batch   3504, Loss  0.856312, Average Loss  0.869902, Time  0.462006
2021-09-08 18:40:40.389266 : Epoch  1, Batch   3505, Loss  0.846376, Average Loss  0.869847, Time  0.354040
2021-09-08 18:40:42.027635 : Epoch  1, Batch   3506, Loss  0.861320, Average Loss  0.869848, Time  0.354710
2021-09-08 18:40:43.714673 : Epoch  1, Batch   3507, Loss  0.861730, Average Loss  0.870005, Time  0.390281
2021-09-08 18:40:45.482315 : Epoch  1, Batch   3508, Loss  0.863467, Average Loss  0.869853, Time  0.463665
2021-09-08 18:40:47.147326 : Epoch  1, Batch   3509, Loss  0.885082, Average Loss  0.869950, Time  0.354752
2021-09-08 18:40:48.795304 : Epoch  1, Batch   3510, Loss  0.882038, Average Loss  0.870055, Time  0.353546
2021-09-08 18:40:50.475391 : Epoch  1, Batch   3511, Loss  0.860047, Average Loss  0.870057, Time  0.392009
2021-09-08 18:40:52.219913 : Epoch  1, Batch   3512, Loss  0.857450, Average Loss  0.869998, Time  0.464493
2021-09-08 18:40:53.867842 : Epoch  1, Batch   3513, Loss  0.897757, Average Loss  0.870004, Time  0.353692
2021-09-08 18:40:55.528742 : Epoch  1, Batch   3514, Loss  0.858141, Average Loss  0.869980, Time  0.354440
2021-09-08 18:40:57.222374 : Epoch  1, Batch   3515, Loss  0.881943, Average Loss  0.869882, Time  0.397377
2021-09-08 18:40:58.985162 : Epoch  1, Batch   3516, Loss  0.853082, Average Loss  0.869752, Time  0.462099
2021-09-08 18:41:00.638296 : Epoch  1, Batch   3517, Loss  0.870470, Average Loss  0.869699, Time  0.354406
2021-09-08 18:41:02.287978 : Epoch  1, Batch   3518, Loss  0.886816, Average Loss  0.869852, Time  0.353131
2021-09-08 18:41:03.963730 : Epoch  1, Batch   3519, Loss  0.862009, Average Loss  0.869849, Time  0.393133
2021-09-08 18:41:05.723256 : Epoch  1, Batch   3520, Loss  0.870033, Average Loss  0.869941, Time  0.462293
2021-09-08 18:41:07.379012 : Epoch  1, Batch   3521, Loss  0.875184, Average Loss  0.870051, Time  0.352738
2021-09-08 18:41:09.025067 : Epoch  1, Batch   3522, Loss  0.865641, Average Loss  0.870023, Time  0.353814
2021-09-08 18:41:10.702402 : Epoch  1, Batch   3523, Loss  0.875210, Average Loss  0.870122, Time  0.394920
2021-09-08 18:41:12.452114 : Epoch  1, Batch   3524, Loss  0.865359, Average Loss  0.870271, Time  0.461999
2021-09-08 18:41:14.109333 : Epoch  1, Batch   3525, Loss  0.865348, Average Loss  0.870202, Time  0.355144
2021-09-08 18:41:15.766731 : Epoch  1, Batch   3526, Loss  0.888140, Average Loss  0.870364, Time  0.355739
2021-09-08 18:41:17.453568 : Epoch  1, Batch   3527, Loss  0.864923, Average Loss  0.870210, Time  0.395707
2021-09-08 18:41:19.226793 : Epoch  1, Batch   3528, Loss  0.861102, Average Loss  0.870102, Time  0.464419
2021-09-08 18:41:20.879358 : Epoch  1, Batch   3529, Loss  0.870901, Average Loss  0.870137, Time  0.352998
2021-09-08 18:41:22.516757 : Epoch  1, Batch   3530, Loss  0.842895, Average Loss  0.869892, Time  0.354030
2021-09-08 18:41:24.208888 : Epoch  1, Batch   3531, Loss  0.880184, Average Loss  0.869993, Time  0.391413
2021-09-08 18:41:25.975286 : Epoch  1, Batch   3532, Loss  0.865798, Average Loss  0.870040, Time  0.464057
2021-09-08 18:41:27.631171 : Epoch  1, Batch   3533, Loss  0.849063, Average Loss  0.869831, Time  0.354073
2021-09-08 18:41:29.275701 : Epoch  1, Batch   3534, Loss  0.902518, Average Loss  0.869956, Time  0.352884
2021-09-08 18:41:30.954388 : Epoch  1, Batch   3535, Loss  0.877375, Average Loss  0.869983, Time  0.394201
2021-09-08 18:41:32.705926 : Epoch  1, Batch   3536, Loss  0.848353, Average Loss  0.869843, Time  0.466692
2021-09-08 18:41:34.354223 : Epoch  1, Batch   3537, Loss  0.888824, Average Loss  0.869980, Time  0.354732
2021-09-08 18:41:35.985718 : Epoch  1, Batch   3538, Loss  0.852348, Average Loss  0.869938, Time  0.352036
2021-09-08 18:41:37.670939 : Epoch  1, Batch   3539, Loss  0.876487, Average Loss  0.869887, Time  0.390452
2021-09-08 18:41:39.440032 : Epoch  1, Batch   3540, Loss  0.862961, Average Loss  0.869751, Time  0.462956
2021-09-08 18:41:41.095558 : Epoch  1, Batch   3541, Loss  0.870010, Average Loss  0.869846, Time  0.354620
2021-09-08 18:41:42.749321 : Epoch  1, Batch   3542, Loss  0.856589, Average Loss  0.869783, Time  0.354192
2021-09-08 18:41:44.448700 : Epoch  1, Batch   3543, Loss  0.840653, Average Loss  0.869712, Time  0.396116
2021-09-08 18:41:46.204302 : Epoch  1, Batch   3544, Loss  0.855630, Average Loss  0.869559, Time  0.466665
2021-09-08 18:41:47.849358 : Epoch  1, Batch   3545, Loss  0.870765, Average Loss  0.869704, Time  0.354640
2021-09-08 18:41:49.502487 : Epoch  1, Batch   3546, Loss  0.896997, Average Loss  0.869854, Time  0.355374
2021-09-08 18:41:51.188054 : Epoch  1, Batch   3547, Loss  0.856418, Average Loss  0.869709, Time  0.381085
2021-09-08 18:41:52.956134 : Epoch  1, Batch   3548, Loss  0.859039, Average Loss  0.869657, Time  0.466347
2021-09-08 18:41:54.592923 : Epoch  1, Batch   3549, Loss  0.898732, Average Loss  0.869889, Time  0.354158
2021-09-08 18:41:56.232337 : Epoch  1, Batch   3550, Loss  0.866150, Average Loss  0.869889, Time  0.354348
2021-09-08 18:41:57.910737 : Epoch  1, Batch   3551, Loss  0.886685, Average Loss  0.869904, Time  0.392375
2021-09-08 18:41:59.675524 : Epoch  1, Batch   3552, Loss  0.868602, Average Loss  0.869863, Time  0.462887
2021-09-08 18:42:01.331958 : Epoch  1, Batch   3553, Loss  0.876831, Average Loss  0.869929, Time  0.354706
2021-09-08 18:42:02.990926 : Epoch  1, Batch   3554, Loss  0.883162, Average Loss  0.869799, Time  0.356292
2021-09-08 18:42:04.681015 : Epoch  1, Batch   3555, Loss  0.843280, Average Loss  0.869642, Time  0.404933
2021-09-08 18:42:06.449080 : Epoch  1, Batch   3556, Loss  0.838629, Average Loss  0.869485, Time  0.463408
2021-09-08 18:42:08.082756 : Epoch  1, Batch   3557, Loss  0.873977, Average Loss  0.869496, Time  0.353498
2021-09-08 18:42:09.737634 : Epoch  1, Batch   3558, Loss  0.871795, Average Loss  0.869506, Time  0.354637
2021-09-08 18:42:11.430060 : Epoch  1, Batch   3559, Loss  0.870365, Average Loss  0.869595, Time  0.392798
2021-09-08 18:42:13.177420 : Epoch  1, Batch   3560, Loss  0.867657, Average Loss  0.869559, Time  0.462394
2021-09-08 18:42:14.815444 : Epoch  1, Batch   3561, Loss  0.875716, Average Loss  0.869599, Time  0.354565
2021-09-08 18:42:16.454074 : Epoch  1, Batch   3562, Loss  0.878932, Average Loss  0.869666, Time  0.353406
2021-09-08 18:42:18.138224 : Epoch  1, Batch   3563, Loss  0.881454, Average Loss  0.869653, Time  0.397164
2021-09-08 18:42:19.891806 : Epoch  1, Batch   3564, Loss  0.874783, Average Loss  0.869742, Time  0.463077
2021-09-08 18:42:21.532325 : Epoch  1, Batch   3565, Loss  0.844481, Average Loss  0.869666, Time  0.353104
2021-09-08 18:42:23.182608 : Epoch  1, Batch   3566, Loss  0.861822, Average Loss  0.869737, Time  0.354957
2021-09-08 18:42:24.867977 : Epoch  1, Batch   3567, Loss  0.877980, Average Loss  0.869630, Time  0.387488
2021-09-08 18:42:26.609066 : Epoch  1, Batch   3568, Loss  0.851288, Average Loss  0.869595, Time  0.461398
2021-09-08 18:42:28.260731 : Epoch  1, Batch   3569, Loss  0.854521, Average Loss  0.869421, Time  0.353384
2021-09-08 18:42:29.901506 : Epoch  1, Batch   3570, Loss  0.848233, Average Loss  0.869325, Time  0.352796
2021-09-08 18:42:31.544174 : Epoch  1, Batch   3571, Loss  0.850991, Average Loss  0.869142, Time  0.399727
2021-09-08 18:42:33.253235 : Epoch  1, Batch   3572, Loss  0.861048, Average Loss  0.869065, Time  0.464668
2021-09-08 18:42:34.848562 : Epoch  1, Batch   3573, Loss  0.842990, Average Loss  0.868888, Time  0.352361
2021-09-08 18:42:36.463765 : Epoch  1, Batch   3574, Loss  0.904730, Average Loss  0.869151, Time  0.352403
2021-09-08 18:42:38.135846 : Epoch  1, Batch   3575, Loss  0.864829, Average Loss  0.869042, Time  0.395532
2021-09-08 18:42:39.893526 : Epoch  1, Batch   3576, Loss  0.882502, Average Loss  0.869252, Time  0.463892
2021-09-08 18:42:41.555693 : Epoch  1, Batch   3577, Loss  0.853877, Average Loss  0.869327, Time  0.354199
2021-09-08 18:42:43.201224 : Epoch  1, Batch   3578, Loss  0.880750, Average Loss  0.869257, Time  0.353235
2021-09-08 18:42:44.879740 : Epoch  1, Batch   3579, Loss  0.859641, Average Loss  0.869195, Time  0.394757
2021-09-08 18:42:46.628274 : Epoch  1, Batch   3580, Loss  0.865844, Average Loss  0.869094, Time  0.464008
2021-09-08 18:42:48.288535 : Epoch  1, Batch   3581, Loss  0.877620, Average Loss  0.869105, Time  0.355815
2021-09-08 18:42:49.930821 : Epoch  1, Batch   3582, Loss  0.850140, Average Loss  0.869076, Time  0.353657
2021-09-08 18:42:51.613787 : Epoch  1, Batch   3583, Loss  0.873772, Average Loss  0.868952, Time  0.398494
2021-09-08 18:42:53.357714 : Epoch  1, Batch   3584, Loss  0.838163, Average Loss  0.868907, Time  0.462854
2021-09-08 18:42:55.005491 : Epoch  1, Batch   3585, Loss  0.878806, Average Loss  0.869005, Time  0.352708
2021-09-08 18:42:56.638692 : Epoch  1, Batch   3586, Loss  0.860018, Average Loss  0.868999, Time  0.353893
2021-09-08 18:42:58.338687 : Epoch  1, Batch   3587, Loss  0.875323, Average Loss  0.869065, Time  0.400572
2021-09-08 18:43:00.098482 : Epoch  1, Batch   3588, Loss  0.858296, Average Loss  0.869009, Time  0.463080
2021-09-08 18:43:01.730589 : Epoch  1, Batch   3589, Loss  0.883969, Average Loss  0.869119, Time  0.355198
2021-09-08 18:43:03.387245 : Epoch  1, Batch   3590, Loss  0.890910, Average Loss  0.869184, Time  0.354877
2021-09-08 18:43:05.079937 : Epoch  1, Batch   3591, Loss  0.863924, Average Loss  0.869028, Time  0.403223
2021-09-08 18:43:06.846624 : Epoch  1, Batch   3592, Loss  0.858865, Average Loss  0.869026, Time  0.462414
2021-09-08 18:43:08.486174 : Epoch  1, Batch   3593, Loss  0.873781, Average Loss  0.869071, Time  0.354230
2021-09-08 18:43:10.117367 : Epoch  1, Batch   3594, Loss  0.858617, Average Loss  0.869079, Time  0.354031
2021-09-08 18:43:11.813372 : Epoch  1, Batch   3595, Loss  0.841332, Average Loss  0.869036, Time  0.401518
2021-09-08 18:43:13.562998 : Epoch  1, Batch   3596, Loss  0.859264, Average Loss  0.868935, Time  0.462827
2021-09-08 18:43:15.214172 : Epoch  1, Batch   3597, Loss  0.866869, Average Loss  0.868924, Time  0.353899
2021-09-08 18:43:16.859469 : Epoch  1, Batch   3598, Loss  0.878021, Average Loss  0.868939, Time  0.353068
2021-09-08 18:43:18.544429 : Epoch  1, Batch   3599, Loss  0.878752, Average Loss  0.868983, Time  0.401805
2021-09-08 18:43:20.281089 : Epoch  1, Batch   3600, Loss  0.872167, Average Loss  0.869113, Time  0.462726
2021-09-08 18:47:49.585720 : CheckPoint: Validation Loss  0.00058569, Best Loss  0.00058177
2021-09-08 18:47:51.242420 : Epoch  1, Batch   3601, Loss  0.875856, Average Loss  0.869102, Time  0.358186
2021-09-08 18:47:53.010776 : Epoch  1, Batch   3602, Loss  0.850116, Average Loss  0.868898, Time  0.465159
2021-09-08 18:47:54.753592 : Epoch  1, Batch   3603, Loss  0.869609, Average Loss  0.868839, Time  0.454617
2021-09-08 18:47:56.399301 : Epoch  1, Batch   3604, Loss  0.851130, Average Loss  0.868914, Time  0.356259
2021-09-08 18:47:58.045717 : Epoch  1, Batch   3605, Loss  0.869669, Average Loss  0.868797, Time  0.354105
2021-09-08 18:47:59.745374 : Epoch  1, Batch   3606, Loss  0.877395, Average Loss  0.868927, Time  0.415956
2021-09-08 18:48:01.501167 : Epoch  1, Batch   3607, Loss  0.886613, Average Loss  0.868819, Time  0.459460
2021-09-08 18:48:03.145650 : Epoch  1, Batch   3608, Loss  0.876274, Average Loss  0.868958, Time  0.353808
2021-09-08 18:48:04.795167 : Epoch  1, Batch   3609, Loss  0.879719, Average Loss  0.868944, Time  0.353725
2021-09-08 18:48:06.496789 : Epoch  1, Batch   3610, Loss  0.866845, Average Loss  0.868905, Time  0.395552
2021-09-08 18:48:08.272561 : Epoch  1, Batch   3611, Loss  0.893284, Average Loss  0.868955, Time  0.460673
2021-09-08 18:48:09.930672 : Epoch  1, Batch   3612, Loss  0.880851, Average Loss  0.868923, Time  0.355129
2021-09-08 18:48:11.591242 : Epoch  1, Batch   3613, Loss  0.839821, Average Loss  0.868677, Time  0.353754
2021-09-08 18:48:13.273787 : Epoch  1, Batch   3614, Loss  0.875553, Average Loss  0.868751, Time  0.387745
2021-09-08 18:48:15.022362 : Epoch  1, Batch   3615, Loss  0.829911, Average Loss  0.868690, Time  0.463311
2021-09-08 18:48:16.672275 : Epoch  1, Batch   3616, Loss  0.840133, Average Loss  0.868623, Time  0.353544
2021-09-08 18:48:18.321395 : Epoch  1, Batch   3617, Loss  0.858848, Average Loss  0.868584, Time  0.353245
2021-09-08 18:48:19.999511 : Epoch  1, Batch   3618, Loss  0.873739, Average Loss  0.868469, Time  0.389085
2021-09-08 18:48:21.753021 : Epoch  1, Batch   3619, Loss  0.901083, Average Loss  0.868635, Time  0.464369
2021-09-08 18:48:23.399087 : Epoch  1, Batch   3620, Loss  0.887195, Average Loss  0.868835, Time  0.354650
2021-09-08 18:48:25.054379 : Epoch  1, Batch   3621, Loss  0.841213, Average Loss  0.868764, Time  0.354253
2021-09-08 18:48:26.746013 : Epoch  1, Batch   3622, Loss  0.880993, Average Loss  0.868873, Time  0.388712
2021-09-08 18:48:28.520767 : Epoch  1, Batch   3623, Loss  0.909195, Average Loss  0.869193, Time  0.462112
2021-09-08 18:48:30.175845 : Epoch  1, Batch   3624, Loss  0.873788, Average Loss  0.869107, Time  0.352900
2021-09-08 18:48:31.827344 : Epoch  1, Batch   3625, Loss  0.867296, Average Loss  0.869151, Time  0.353302
2021-09-08 18:48:33.526324 : Epoch  1, Batch   3626, Loss  0.873301, Average Loss  0.869280, Time  0.392030
2021-09-08 18:48:35.296966 : Epoch  1, Batch   3627, Loss  0.875321, Average Loss  0.869345, Time  0.463568
2021-09-08 18:48:36.938609 : Epoch  1, Batch   3628, Loss  0.895121, Average Loss  0.869241, Time  0.353718
2021-09-08 18:48:38.590668 : Epoch  1, Batch   3629, Loss  0.877585, Average Loss  0.869457, Time  0.352378
2021-09-08 18:48:40.283580 : Epoch  1, Batch   3630, Loss  0.869076, Average Loss  0.869561, Time  0.389055
2021-09-08 18:48:42.045432 : Epoch  1, Batch   3631, Loss  0.884106, Average Loss  0.869550, Time  0.463415
2021-09-08 18:48:43.702570 : Epoch  1, Batch   3632, Loss  0.874980, Average Loss  0.869456, Time  0.354740
2021-09-08 18:48:45.363558 : Epoch  1, Batch   3633, Loss  0.873818, Average Loss  0.869474, Time  0.352989
2021-09-08 18:48:47.051852 : Epoch  1, Batch   3634, Loss  0.840987, Average Loss  0.869416, Time  0.399549
2021-09-08 18:48:48.817282 : Epoch  1, Batch   3635, Loss  0.896943, Average Loss  0.869545, Time  0.463027
2021-09-08 18:48:50.474789 : Epoch  1, Batch   3636, Loss  0.884246, Average Loss  0.869637, Time  0.355294
2021-09-08 18:48:52.128752 : Epoch  1, Batch   3637, Loss  0.858619, Average Loss  0.869651, Time  0.352393
2021-09-08 18:48:53.814018 : Epoch  1, Batch   3638, Loss  0.862647, Average Loss  0.869664, Time  0.395469
2021-09-08 18:48:55.562376 : Epoch  1, Batch   3639, Loss  0.892330, Average Loss  0.869739, Time  0.464878
2021-09-08 18:48:57.205061 : Epoch  1, Batch   3640, Loss  0.888573, Average Loss  0.869876, Time  0.353020
2021-09-08 18:48:58.854710 : Epoch  1, Batch   3641, Loss  0.893840, Average Loss  0.869969, Time  0.352572
2021-09-08 18:49:00.534385 : Epoch  1, Batch   3642, Loss  0.868580, Average Loss  0.870051, Time  0.391419
2021-09-08 18:49:02.287892 : Epoch  1, Batch   3643, Loss  0.869745, Average Loss  0.869975, Time  0.460941
2021-09-08 18:49:03.928204 : Epoch  1, Batch   3644, Loss  0.865378, Average Loss  0.869882, Time  0.354005
2021-09-08 18:49:05.589705 : Epoch  1, Batch   3645, Loss  0.897928, Average Loss  0.870017, Time  0.354623
2021-09-08 18:49:07.268268 : Epoch  1, Batch   3646, Loss  0.873092, Average Loss  0.870095, Time  0.398225
2021-09-08 18:49:09.020684 : Epoch  1, Batch   3647, Loss  0.877118, Average Loss  0.870222, Time  0.466758
2021-09-08 18:49:10.669728 : Epoch  1, Batch   3648, Loss  0.850731, Average Loss  0.870169, Time  0.352857
2021-09-08 18:49:12.329369 : Epoch  1, Batch   3649, Loss  0.832550, Average Loss  0.869988, Time  0.353341
2021-09-08 18:49:14.018802 : Epoch  1, Batch   3650, Loss  0.869756, Average Loss  0.869882, Time  0.385418
2021-09-08 18:49:15.769621 : Epoch  1, Batch   3651, Loss  0.856979, Average Loss  0.869750, Time  0.464073
2021-09-08 18:49:17.413073 : Epoch  1, Batch   3652, Loss  0.875824, Average Loss  0.869865, Time  0.353420
2021-09-08 18:49:19.053030 : Epoch  1, Batch   3653, Loss  0.886278, Average Loss  0.870032, Time  0.353807
2021-09-08 18:49:20.729139 : Epoch  1, Batch   3654, Loss  0.862117, Average Loss  0.870098, Time  0.387480
2021-09-08 18:49:22.483974 : Epoch  1, Batch   3655, Loss  0.831438, Average Loss  0.869770, Time  0.463646
2021-09-08 18:49:24.132642 : Epoch  1, Batch   3656, Loss  0.843650, Average Loss  0.869625, Time  0.355411
2021-09-08 18:49:25.781366 : Epoch  1, Batch   3657, Loss  0.868660, Average Loss  0.869544, Time  0.354184
2021-09-08 18:49:27.441344 : Epoch  1, Batch   3658, Loss  0.867914, Average Loss  0.869606, Time  0.378217
2021-09-08 18:49:29.202716 : Epoch  1, Batch   3659, Loss  0.883810, Average Loss  0.869747, Time  0.465453
2021-09-08 18:49:30.845389 : Epoch  1, Batch   3660, Loss  0.862468, Average Loss  0.869844, Time  0.356419
2021-09-08 18:49:32.503714 : Epoch  1, Batch   3661, Loss  0.895855, Average Loss  0.870038, Time  0.354035
2021-09-08 18:49:34.195633 : Epoch  1, Batch   3662, Loss  0.903541, Average Loss  0.870145, Time  0.388626
2021-09-08 18:49:35.962199 : Epoch  1, Batch   3663, Loss  0.857117, Average Loss  0.869975, Time  0.463156
2021-09-08 18:49:37.608614 : Epoch  1, Batch   3664, Loss  0.884401, Average Loss  0.869980, Time  0.354388
2021-09-08 18:49:39.267472 : Epoch  1, Batch   3665, Loss  0.900108, Average Loss  0.870101, Time  0.353335
2021-09-08 18:49:40.971171 : Epoch  1, Batch   3666, Loss  0.883567, Average Loss  0.870253, Time  0.396983
2021-09-08 18:49:42.740363 : Epoch  1, Batch   3667, Loss  0.847966, Average Loss  0.869997, Time  0.461523
2021-09-08 18:49:44.395066 : Epoch  1, Batch   3668, Loss  0.900017, Average Loss  0.870005, Time  0.355106
2021-09-08 18:49:46.042674 : Epoch  1, Batch   3669, Loss  0.883152, Average Loss  0.869973, Time  0.353302
2021-09-08 18:49:47.733156 : Epoch  1, Batch   3670, Loss  0.827467, Average Loss  0.869783, Time  0.389254
2021-09-08 18:49:49.500834 : Epoch  1, Batch   3671, Loss  0.895814, Average Loss  0.869998, Time  0.462675
2021-09-08 18:49:51.140794 : Epoch  1, Batch   3672, Loss  0.859662, Average Loss  0.869892, Time  0.352915
2021-09-08 18:49:52.782979 : Epoch  1, Batch   3673, Loss  0.852900, Average Loss  0.869833, Time  0.353197
2021-09-08 18:49:54.456685 : Epoch  1, Batch   3674, Loss  0.880890, Average Loss  0.869912, Time  0.389018
2021-09-08 18:49:56.206998 : Epoch  1, Batch   3675, Loss  0.866112, Average Loss  0.869796, Time  0.460777
2021-09-08 18:49:57.852684 : Epoch  1, Batch   3676, Loss  0.873663, Average Loss  0.869697, Time  0.353208
2021-09-08 18:49:59.491061 : Epoch  1, Batch   3677, Loss  0.837728, Average Loss  0.869491, Time  0.352010
2021-09-08 18:50:01.166995 : Epoch  1, Batch   3678, Loss  0.865055, Average Loss  0.869414, Time  0.392221
2021-09-08 18:50:02.920836 : Epoch  1, Batch   3679, Loss  0.835936, Average Loss  0.869274, Time  0.462548
2021-09-08 18:50:04.580119 : Epoch  1, Batch   3680, Loss  0.835065, Average Loss  0.869041, Time  0.355487
2021-09-08 18:50:06.231934 : Epoch  1, Batch   3681, Loss  0.882279, Average Loss  0.869283, Time  0.354020
2021-09-08 18:50:07.912236 : Epoch  1, Batch   3682, Loss  0.862895, Average Loss  0.869141, Time  0.391847
2021-09-08 18:50:09.669134 : Epoch  1, Batch   3683, Loss  0.879421, Average Loss  0.869238, Time  0.463793
2021-09-08 18:50:11.321424 : Epoch  1, Batch   3684, Loss  0.852480, Average Loss  0.869072, Time  0.352837
2021-09-08 18:50:12.964835 : Epoch  1, Batch   3685, Loss  0.887382, Average Loss  0.868976, Time  0.353003
2021-09-08 18:50:14.643777 : Epoch  1, Batch   3686, Loss  0.888526, Average Loss  0.869097, Time  0.398969
2021-09-08 18:50:16.423248 : Epoch  1, Batch   3687, Loss  0.879223, Average Loss  0.869181, Time  0.460168
2021-09-08 18:50:18.137851 : Epoch  1, Batch   3688, Loss  0.852704, Average Loss  0.869077, Time  0.353451
2021-09-08 18:50:19.781623 : Epoch  1, Batch   3689, Loss  0.880739, Average Loss  0.869238, Time  0.353194
2021-09-08 18:50:21.470281 : Epoch  1, Batch   3690, Loss  0.900978, Average Loss  0.869251, Time  0.396852
2021-09-08 18:50:23.242035 : Epoch  1, Batch   3691, Loss  0.870873, Average Loss  0.869230, Time  0.462917
2021-09-08 18:50:24.909098 : Epoch  1, Batch   3692, Loss  0.873687, Average Loss  0.869216, Time  0.354438
2021-09-08 18:50:26.567874 : Epoch  1, Batch   3693, Loss  0.879276, Average Loss  0.869374, Time  0.352961
2021-09-08 18:50:28.257633 : Epoch  1, Batch   3694, Loss  0.851438, Average Loss  0.869210, Time  0.384577
2021-09-08 18:50:30.007683 : Epoch  1, Batch   3695, Loss  0.875065, Average Loss  0.869197, Time  0.462070
2021-09-08 18:50:31.662871 : Epoch  1, Batch   3696, Loss  0.863390, Average Loss  0.869194, Time  0.353729
2021-09-08 18:50:33.303632 : Epoch  1, Batch   3697, Loss  0.855004, Average Loss  0.869230, Time  0.353501
2021-09-08 18:50:34.982666 : Epoch  1, Batch   3698, Loss  0.874733, Average Loss  0.869306, Time  0.390884
2021-09-08 18:50:36.630192 : Epoch  1, Batch   3699, Loss  0.885578, Average Loss  0.869362, Time  0.441194
2021-09-08 18:50:38.259170 : Epoch  1, Batch   3700, Loss  0.882583, Average Loss  0.869323, Time  0.356670
2021-09-08 18:55:07.144296 : CheckPoint: Validation Loss  0.00060481, Best Loss  0.00058177
2021-09-08 18:55:08.776878 : Epoch  1, Batch   3701, Loss  0.853476, Average Loss  0.869187, Time  0.356015
2021-09-08 18:55:10.417555 : Epoch  1, Batch   3702, Loss  0.862989, Average Loss  0.868997, Time  0.353806
2021-09-08 18:55:12.157299 : Epoch  1, Batch   3703, Loss  0.868806, Average Loss  0.869154, Time  0.457350
2021-09-08 18:55:13.913534 : Epoch  1, Batch   3704, Loss  0.877484, Average Loss  0.869260, Time  0.461314
2021-09-08 18:55:15.560385 : Epoch  1, Batch   3705, Loss  0.884745, Average Loss  0.869452, Time  0.352811
2021-09-08 18:55:17.199128 : Epoch  1, Batch   3706, Loss  0.878196, Average Loss  0.869536, Time  0.352325
2021-09-08 18:55:18.901843 : Epoch  1, Batch   3707, Loss  0.867976, Average Loss  0.869568, Time  0.405881
2021-09-08 18:55:20.665922 : Epoch  1, Batch   3708, Loss  0.846565, Average Loss  0.869483, Time  0.461242
2021-09-08 18:55:22.321731 : Epoch  1, Batch   3709, Loss  0.854893, Average Loss  0.869332, Time  0.353257
2021-09-08 18:55:23.962751 : Epoch  1, Batch   3710, Loss  0.855500, Average Loss  0.869199, Time  0.352523
2021-09-08 18:55:25.648207 : Epoch  1, Batch   3711, Loss  0.848528, Average Loss  0.869142, Time  0.396674
2021-09-08 18:55:25.684775 : Saving Model after 1-th Epoch.
2021-09-08 18:55:29.533463 : Epoch Finished.
2021-09-08 18:55:36.783926 : Batch Shuffled
2021-09-08 18:55:38.434241 : Epoch  2, Batch      1, Loss  0.871971, Average Loss  0.869214, Time  0.363806
2021-09-08 18:55:40.146419 : Epoch  2, Batch      2, Loss  0.860894, Average Loss  0.869030, Time  0.416571
2021-09-08 18:55:41.893756 : Epoch  2, Batch      3, Loss  0.858121, Average Loss  0.869030, Time  0.463625
2021-09-08 18:55:43.531272 : Epoch  2, Batch      4, Loss  0.884210, Average Loss  0.869041, Time  0.353020
2021-09-08 18:55:45.159388 : Epoch  2, Batch      5, Loss  0.876910, Average Loss  0.869161, Time  0.353507
2021-09-08 18:55:46.839272 : Epoch  2, Batch      6, Loss  0.854780, Average Loss  0.869082, Time  0.401886
2021-09-08 18:55:48.588360 : Epoch  2, Batch      7, Loss  0.863026, Average Loss  0.868963, Time  0.462558
2021-09-08 18:55:50.234012 : Epoch  2, Batch      8, Loss  0.855122, Average Loss  0.868929, Time  0.355444
2021-09-08 18:55:51.883065 : Epoch  2, Batch      9, Loss  0.879075, Average Loss  0.868974, Time  0.354819
2021-09-08 18:55:53.580541 : Epoch  2, Batch     10, Loss  0.867114, Average Loss  0.868934, Time  0.403930
2021-09-08 18:55:55.335540 : Epoch  2, Batch     11, Loss  0.887580, Average Loss  0.869043, Time  0.463542
2021-09-08 18:55:56.968029 : Epoch  2, Batch     12, Loss  0.852665, Average Loss  0.868931, Time  0.354452
2021-09-08 18:55:58.623422 : Epoch  2, Batch     13, Loss  0.866160, Average Loss  0.868935, Time  0.353524
2021-09-08 18:56:00.324436 : Epoch  2, Batch     14, Loss  0.849164, Average Loss  0.868854, Time  0.405930
2021-09-08 18:56:02.080968 : Epoch  2, Batch     15, Loss  0.890507, Average Loss  0.868865, Time  0.463286
2021-09-08 18:56:03.730265 : Epoch  2, Batch     16, Loss  0.875567, Average Loss  0.868919, Time  0.353680
2021-09-08 18:56:05.361817 : Epoch  2, Batch     17, Loss  0.860639, Average Loss  0.868916, Time  0.353385
2021-09-08 18:56:07.045354 : Epoch  2, Batch     18, Loss  0.874481, Average Loss  0.868934, Time  0.404812
2021-09-08 18:56:08.789908 : Epoch  2, Batch     19, Loss  0.862669, Average Loss  0.869033, Time  0.463939
2021-09-08 18:56:10.436948 : Epoch  2, Batch     20, Loss  0.866023, Average Loss  0.868962, Time  0.353254
2021-09-08 18:56:12.085464 : Epoch  2, Batch     21, Loss  0.899455, Average Loss  0.869131, Time  0.352958
2021-09-08 18:56:13.784465 : Epoch  2, Batch     22, Loss  0.840134, Average Loss  0.869086, Time  0.400446
2021-09-08 18:56:15.549284 : Epoch  2, Batch     23, Loss  0.865671, Average Loss  0.868902, Time  0.462855
2021-09-08 18:56:17.188259 : Epoch  2, Batch     24, Loss  0.866440, Average Loss  0.868847, Time  0.352647
2021-09-08 18:56:18.829457 : Epoch  2, Batch     25, Loss  0.899287, Average Loss  0.869102, Time  0.353478
2021-09-08 18:56:20.502069 : Epoch  2, Batch     26, Loss  0.871436, Average Loss  0.869015, Time  0.396768
2021-09-08 18:56:22.253356 : Epoch  2, Batch     27, Loss  0.852197, Average Loss  0.869014, Time  0.463058
2021-09-08 18:56:23.899623 : Epoch  2, Batch     28, Loss  0.866516, Average Loss  0.868964, Time  0.356265
2021-09-08 18:56:25.550418 : Epoch  2, Batch     29, Loss  0.882656, Average Loss  0.869063, Time  0.354267
2021-09-08 18:56:27.242922 : Epoch  2, Batch     30, Loss  0.877238, Average Loss  0.869099, Time  0.394936
2021-09-08 18:56:28.988107 : Epoch  2, Batch     31, Loss  0.839852, Average Loss  0.869015, Time  0.462886
2021-09-08 18:56:30.630701 : Epoch  2, Batch     32, Loss  0.858455, Average Loss  0.869104, Time  0.354136
2021-09-08 18:56:32.272146 : Epoch  2, Batch     33, Loss  0.834942, Average Loss  0.869001, Time  0.354716
2021-09-08 18:56:33.954733 : Epoch  2, Batch     34, Loss  0.885203, Average Loss  0.869073, Time  0.400071
2021-09-08 18:56:35.697864 : Epoch  2, Batch     35, Loss  0.869311, Average Loss  0.868934, Time  0.461876
2021-09-08 18:56:37.327575 : Epoch  2, Batch     36, Loss  0.895674, Average Loss  0.869131, Time  0.353250
2021-09-08 18:56:38.965922 : Epoch  2, Batch     37, Loss  0.878171, Average Loss  0.869226, Time  0.354122
2021-09-08 18:56:40.662392 : Epoch  2, Batch     38, Loss  0.896086, Average Loss  0.869213, Time  0.406697
2021-09-08 18:56:42.422090 : Epoch  2, Batch     39, Loss  0.870932, Average Loss  0.869237, Time  0.461152
2021-09-08 18:56:44.071294 : Epoch  2, Batch     40, Loss  0.899178, Average Loss  0.869300, Time  0.353156
2021-09-08 18:56:45.710604 : Epoch  2, Batch     41, Loss  0.845304, Average Loss  0.869183, Time  0.353142
2021-09-08 18:56:47.393165 : Epoch  2, Batch     42, Loss  0.863469, Average Loss  0.869116, Time  0.401127
2021-09-08 18:56:49.134237 : Epoch  2, Batch     43, Loss  0.894908, Average Loss  0.869175, Time  0.460384
2021-09-08 18:56:50.765967 : Epoch  2, Batch     44, Loss  0.861636, Average Loss  0.869267, Time  0.352635
2021-09-08 18:56:52.400823 : Epoch  2, Batch     45, Loss  0.884199, Average Loss  0.869495, Time  0.353337
2021-09-08 18:56:54.090373 : Epoch  2, Batch     46, Loss  0.856692, Average Loss  0.869408, Time  0.402632
2021-09-08 18:56:55.837748 : Epoch  2, Batch     47, Loss  0.863992, Average Loss  0.869369, Time  0.464834
2021-09-08 18:56:57.476908 : Epoch  2, Batch     48, Loss  0.894624, Average Loss  0.869490, Time  0.352188
2021-09-08 18:56:59.121752 : Epoch  2, Batch     49, Loss  0.859755, Average Loss  0.869451, Time  0.354789
2021-09-08 18:57:00.820898 : Epoch  2, Batch     50, Loss  0.871722, Average Loss  0.869431, Time  0.398072
2021-09-08 18:57:02.570178 : Epoch  2, Batch     51, Loss  0.811165, Average Loss  0.869092, Time  0.461872
2021-09-08 18:57:04.204021 : Epoch  2, Batch     52, Loss  0.870827, Average Loss  0.869039, Time  0.352911
2021-09-08 18:57:05.837221 : Epoch  2, Batch     53, Loss  0.869285, Average Loss  0.869011, Time  0.353657
2021-09-08 18:57:07.524501 : Epoch  2, Batch     54, Loss  0.878813, Average Loss  0.869183, Time  0.401788
2021-09-08 18:57:09.274276 : Epoch  2, Batch     55, Loss  0.866489, Average Loss  0.869206, Time  0.461847
2021-09-08 18:57:10.909838 : Epoch  2, Batch     56, Loss  0.859878, Average Loss  0.869116, Time  0.354479
2021-09-08 18:57:12.529441 : Epoch  2, Batch     57, Loss  0.857377, Average Loss  0.869146, Time  0.352203
2021-09-08 18:57:14.211251 : Epoch  2, Batch     58, Loss  0.838287, Average Loss  0.869065, Time  0.411426
2021-09-08 18:57:15.960308 : Epoch  2, Batch     59, Loss  0.844560, Average Loss  0.869047, Time  0.460545
2021-09-08 18:57:17.619919 : Epoch  2, Batch     60, Loss  0.854983, Average Loss  0.869067, Time  0.354037
2021-09-08 18:57:19.262208 : Epoch  2, Batch     61, Loss  0.885496, Average Loss  0.869189, Time  0.353154
2021-09-08 18:57:20.944934 : Epoch  2, Batch     62, Loss  0.851657, Average Loss  0.869232, Time  0.411790
2021-09-08 18:57:22.680390 : Epoch  2, Batch     63, Loss  0.874762, Average Loss  0.869083, Time  0.462327
2021-09-08 18:57:24.307048 : Epoch  2, Batch     64, Loss  0.889024, Average Loss  0.869204, Time  0.352872
2021-09-08 18:57:25.932055 : Epoch  2, Batch     65, Loss  0.865433, Average Loss  0.869118, Time  0.353795
2021-09-08 18:57:27.609898 : Epoch  2, Batch     66, Loss  0.866826, Average Loss  0.869183, Time  0.411427
2021-09-08 18:57:29.339781 : Epoch  2, Batch     67, Loss  0.921725, Average Loss  0.869388, Time  0.456704
2021-09-08 18:57:30.985814 : Epoch  2, Batch     68, Loss  0.828980, Average Loss  0.869235, Time  0.353454
2021-09-08 18:57:32.618250 : Epoch  2, Batch     69, Loss  0.858952, Average Loss  0.869200, Time  0.354445
2021-09-08 18:57:34.311258 : Epoch  2, Batch     70, Loss  0.880167, Average Loss  0.869213, Time  0.418241
2021-09-08 18:57:36.064146 : Epoch  2, Batch     71, Loss  0.862259, Average Loss  0.869273, Time  0.461441
2021-09-08 18:57:37.700844 : Epoch  2, Batch     72, Loss  0.887674, Average Loss  0.869343, Time  0.353812
2021-09-08 18:57:39.326348 : Epoch  2, Batch     73, Loss  0.824035, Average Loss  0.869272, Time  0.353689
2021-09-08 18:57:41.009469 : Epoch  2, Batch     74, Loss  0.871676, Average Loss  0.869237, Time  0.416982
2021-09-08 18:57:42.740121 : Epoch  2, Batch     75, Loss  0.821792, Average Loss  0.869045, Time  0.461274
2021-09-08 18:57:44.364789 : Epoch  2, Batch     76, Loss  0.879218, Average Loss  0.869065, Time  0.355691
2021-09-08 18:57:45.987785 : Epoch  2, Batch     77, Loss  0.861121, Average Loss  0.869079, Time  0.352722
2021-09-08 18:57:47.672909 : Epoch  2, Batch     78, Loss  0.892703, Average Loss  0.869123, Time  0.413706
2021-09-08 18:57:49.409025 : Epoch  2, Batch     79, Loss  0.845455, Average Loss  0.868895, Time  0.463025
2021-09-08 18:57:51.031931 : Epoch  2, Batch     80, Loss  0.885019, Average Loss  0.869001, Time  0.353378
2021-09-08 18:57:52.659701 : Epoch  2, Batch     81, Loss  0.853898, Average Loss  0.868976, Time  0.353062
2021-09-08 18:57:54.345593 : Epoch  2, Batch     82, Loss  0.869161, Average Loss  0.868953, Time  0.417699
2021-09-08 18:57:56.081462 : Epoch  2, Batch     83, Loss  0.847905, Average Loss  0.868899, Time  0.460615
2021-09-08 18:57:57.699520 : Epoch  2, Batch     84, Loss  0.888127, Average Loss  0.869133, Time  0.352084
2021-09-08 18:57:59.332139 : Epoch  2, Batch     85, Loss  0.851622, Average Loss  0.869095, Time  0.353643
2021-09-08 18:58:01.040915 : Epoch  2, Batch     86, Loss  0.863492, Average Loss  0.869078, Time  0.416323
2021-09-08 18:58:02.783139 : Epoch  2, Batch     87, Loss  0.887965, Average Loss  0.869128, Time  0.462739
2021-09-08 18:58:04.405746 : Epoch  2, Batch     88, Loss  0.881451, Average Loss  0.869142, Time  0.352708
2021-09-08 18:58:06.029928 : Epoch  2, Batch     89, Loss  0.893697, Average Loss  0.869249, Time  0.353187
2021-09-08 19:02:34.584238 : CheckPoint: Validation Loss  0.00059547, Best Loss  0.00058177
2021-09-08 19:02:36.292264 : Epoch  2, Batch     90, Loss  0.883591, Average Loss  0.869288, Time  0.411002
2021-09-08 19:02:38.055080 : Epoch  2, Batch     91, Loss  0.881121, Average Loss  0.869443, Time  0.461113
2021-09-08 19:02:39.694919 : Epoch  2, Batch     92, Loss  0.854938, Average Loss  0.869370, Time  0.353703
2021-09-08 19:02:41.336963 : Epoch  2, Batch     93, Loss  0.887828, Average Loss  0.869553, Time  0.353831
2021-09-08 19:02:43.043291 : Epoch  2, Batch     94, Loss  0.863008, Average Loss  0.869520, Time  0.405166
2021-09-08 19:02:44.788711 : Epoch  2, Batch     95, Loss  0.867464, Average Loss  0.869470, Time  0.464381
2021-09-08 19:02:46.428122 : Epoch  2, Batch     96, Loss  0.869295, Average Loss  0.869383, Time  0.355631
2021-09-08 19:02:48.076441 : Epoch  2, Batch     97, Loss  0.859609, Average Loss  0.869300, Time  0.353824
2021-09-08 19:02:49.778085 : Epoch  2, Batch     98, Loss  0.874554, Average Loss  0.869274, Time  0.399700
2021-09-08 19:02:51.540702 : Epoch  2, Batch     99, Loss  0.886158, Average Loss  0.869371, Time  0.462123
2021-09-08 19:02:53.186703 : Epoch  2, Batch    100, Loss  0.833303, Average Loss  0.869071, Time  0.353867
2021-09-08 19:02:54.836501 : Epoch  2, Batch    101, Loss  0.860204, Average Loss  0.868968, Time  0.354153
2021-09-08 19:02:56.533965 : Epoch  2, Batch    102, Loss  0.853372, Average Loss  0.869036, Time  0.405854
2021-09-08 19:02:58.297916 : Epoch  2, Batch    103, Loss  0.904386, Average Loss  0.869180, Time  0.460065
2021-09-08 19:02:59.946192 : Epoch  2, Batch    104, Loss  0.852458, Average Loss  0.869292, Time  0.353703
2021-09-08 19:03:01.590668 : Epoch  2, Batch    105, Loss  0.863149, Average Loss  0.869407, Time  0.354291
2021-09-08 19:03:03.291364 : Epoch  2, Batch    106, Loss  0.884685, Average Loss  0.869537, Time  0.400664
2021-09-08 19:03:05.045507 : Epoch  2, Batch    107, Loss  0.887234, Average Loss  0.869604, Time  0.459318
2021-09-08 19:03:06.679012 : Epoch  2, Batch    108, Loss  0.872959, Average Loss  0.869464, Time  0.353815
2021-09-08 19:03:08.303455 : Epoch  2, Batch    109, Loss  0.852348, Average Loss  0.869289, Time  0.352615
2021-09-08 19:03:09.978028 : Epoch  2, Batch    110, Loss  0.899880, Average Loss  0.869583, Time  0.406016
2021-09-08 19:03:11.719342 : Epoch  2, Batch    111, Loss  0.882486, Average Loss  0.869590, Time  0.461112
2021-09-08 19:03:13.343675 : Epoch  2, Batch    112, Loss  0.854516, Average Loss  0.869317, Time  0.352646
2021-09-08 19:03:14.966051 : Epoch  2, Batch    113, Loss  0.892319, Average Loss  0.869409, Time  0.352187
2021-09-08 19:03:16.645533 : Epoch  2, Batch    114, Loss  0.865979, Average Loss  0.869403, Time  0.409028
2021-09-08 19:03:18.383806 : Epoch  2, Batch    115, Loss  0.872844, Average Loss  0.869400, Time  0.464794
2021-09-08 19:03:20.028786 : Epoch  2, Batch    116, Loss  0.846348, Average Loss  0.869256, Time  0.354236
2021-09-08 19:03:21.668370 : Epoch  2, Batch    117, Loss  0.832330, Average Loss  0.868942, Time  0.354349
2021-09-08 19:03:23.361807 : Epoch  2, Batch    118, Loss  0.845757, Average Loss  0.868783, Time  0.410932
2021-09-08 19:03:25.123384 : Epoch  2, Batch    119, Loss  0.887767, Average Loss  0.868876, Time  0.461868
2021-09-08 19:03:26.759928 : Epoch  2, Batch    120, Loss  0.898029, Average Loss  0.868946, Time  0.353690
2021-09-08 19:03:28.389579 : Epoch  2, Batch    121, Loss  0.882288, Average Loss  0.868982, Time  0.353302
2021-09-08 19:03:30.089711 : Epoch  2, Batch    122, Loss  0.892886, Average Loss  0.869077, Time  0.407457
2021-09-08 19:03:31.850021 : Epoch  2, Batch    123, Loss  0.877461, Average Loss  0.869260, Time  0.462909
2021-09-08 19:03:33.490483 : Epoch  2, Batch    124, Loss  0.896174, Average Loss  0.869256, Time  0.353608
2021-09-08 19:03:35.132174 : Epoch  2, Batch    125, Loss  0.881403, Average Loss  0.869242, Time  0.352083
2021-09-08 19:03:36.811521 : Epoch  2, Batch    126, Loss  0.889605, Average Loss  0.869397, Time  0.413491
2021-09-08 19:03:38.551983 : Epoch  2, Batch    127, Loss  0.896627, Average Loss  0.869567, Time  0.462484
2021-09-08 19:03:40.179049 : Epoch  2, Batch    128, Loss  0.874111, Average Loss  0.869476, Time  0.353720
2021-09-08 19:03:41.805645 : Epoch  2, Batch    129, Loss  0.876198, Average Loss  0.869414, Time  0.353868
2021-09-08 19:03:43.489498 : Epoch  2, Batch    130, Loss  0.868791, Average Loss  0.869288, Time  0.405335
2021-09-08 19:03:45.245330 : Epoch  2, Batch    131, Loss  0.892697, Average Loss  0.869409, Time  0.462001
2021-09-08 19:03:46.888125 : Epoch  2, Batch    132, Loss  0.882053, Average Loss  0.869471, Time  0.353028
2021-09-08 19:03:48.532292 : Epoch  2, Batch    133, Loss  0.892312, Average Loss  0.869605, Time  0.354736
2021-09-08 19:03:50.233067 : Epoch  2, Batch    134, Loss  0.883879, Average Loss  0.869535, Time  0.407738
2021-09-08 19:03:51.991518 : Epoch  2, Batch    135, Loss  0.882806, Average Loss  0.869584, Time  0.465175
2021-09-08 19:03:53.649440 : Epoch  2, Batch    136, Loss  0.851332, Average Loss  0.869455, Time  0.353505
2021-09-08 19:03:55.285822 : Epoch  2, Batch    137, Loss  0.867882, Average Loss  0.869540, Time  0.354499
2021-09-08 19:03:56.963814 : Epoch  2, Batch    138, Loss  0.872137, Average Loss  0.869738, Time  0.404295
2021-09-08 19:03:58.722883 : Epoch  2, Batch    139, Loss  0.851838, Average Loss  0.869649, Time  0.463339
2021-09-08 19:04:00.370276 : Epoch  2, Batch    140, Loss  0.850904, Average Loss  0.869618, Time  0.353652
2021-09-08 19:04:01.995276 : Epoch  2, Batch    141, Loss  0.862501, Average Loss  0.869552, Time  0.351603
2021-09-08 19:04:03.702708 : Epoch  2, Batch    142, Loss  0.832077, Average Loss  0.869281, Time  0.411591
2021-09-08 19:04:05.445483 : Epoch  2, Batch    143, Loss  0.884402, Average Loss  0.869392, Time  0.464529
2021-09-08 19:04:07.072571 : Epoch  2, Batch    144, Loss  0.835658, Average Loss  0.869413, Time  0.352214
2021-09-08 19:04:08.706495 : Epoch  2, Batch    145, Loss  0.864245, Average Loss  0.869516, Time  0.353887
2021-09-08 19:04:10.392821 : Epoch  2, Batch    146, Loss  0.871979, Average Loss  0.869533, Time  0.405427
2021-09-08 19:04:12.126580 : Epoch  2, Batch    147, Loss  0.885708, Average Loss  0.869622, Time  0.460783
2021-09-08 19:04:13.752950 : Epoch  2, Batch    148, Loss  0.865751, Average Loss  0.869531, Time  0.354382
2021-09-08 19:04:15.404259 : Epoch  2, Batch    149, Loss  0.843741, Average Loss  0.869438, Time  0.353533
2021-09-08 19:04:17.103341 : Epoch  2, Batch    150, Loss  0.842436, Average Loss  0.869171, Time  0.406844
2021-09-08 19:04:18.844909 : Epoch  2, Batch    151, Loss  0.861241, Average Loss  0.868959, Time  0.463011
2021-09-08 19:04:20.471289 : Epoch  2, Batch    152, Loss  0.867722, Average Loss  0.869012, Time  0.354032
2021-09-08 19:04:22.098540 : Epoch  2, Batch    153, Loss  0.872659, Average Loss  0.868954, Time  0.354730
2021-09-08 19:04:23.778786 : Epoch  2, Batch    154, Loss  0.887520, Average Loss  0.868891, Time  0.403023
2021-09-08 19:04:25.518482 : Epoch  2, Batch    155, Loss  0.858547, Average Loss  0.868766, Time  0.461503
2021-09-08 19:04:27.160049 : Epoch  2, Batch    156, Loss  0.901130, Average Loss  0.869031, Time  0.355471
2021-09-08 19:04:28.792493 : Epoch  2, Batch    157, Loss  0.869997, Average Loss  0.868881, Time  0.353193
2021-09-08 19:04:30.464441 : Epoch  2, Batch    158, Loss  0.895099, Average Loss  0.868941, Time  0.395519
2021-09-08 19:04:32.209377 : Epoch  2, Batch    159, Loss  0.860401, Average Loss  0.869106, Time  0.464979
2021-09-08 19:04:33.834177 : Epoch  2, Batch    160, Loss  0.875916, Average Loss  0.869006, Time  0.353652
2021-09-08 19:04:35.464186 : Epoch  2, Batch    161, Loss  0.863439, Average Loss  0.869025, Time  0.352643
2021-09-08 19:04:37.146552 : Epoch  2, Batch    162, Loss  0.854407, Average Loss  0.869033, Time  0.401188
2021-09-08 19:04:38.883802 : Epoch  2, Batch    163, Loss  0.908824, Average Loss  0.869172, Time  0.464183
2021-09-08 19:04:40.511749 : Epoch  2, Batch    164, Loss  0.866673, Average Loss  0.869175, Time  0.354728
2021-09-08 19:04:42.150363 : Epoch  2, Batch    165, Loss  0.860027, Average Loss  0.869107, Time  0.353284
2021-09-08 19:04:43.831416 : Epoch  2, Batch    166, Loss  0.852502, Average Loss  0.869181, Time  0.405615
2021-09-08 19:04:45.566841 : Epoch  2, Batch    167, Loss  0.877506, Average Loss  0.869243, Time  0.462238
2021-09-08 19:04:47.197672 : Epoch  2, Batch    168, Loss  0.821776, Average Loss  0.869172, Time  0.354451
2021-09-08 19:04:48.819589 : Epoch  2, Batch    169, Loss  0.835799, Average Loss  0.869176, Time  0.353359
2021-09-08 19:04:50.507522 : Epoch  2, Batch    170, Loss  0.872062, Average Loss  0.869125, Time  0.403466
2021-09-08 19:04:52.247052 : Epoch  2, Batch    171, Loss  0.855964, Average Loss  0.869090, Time  0.465230
2021-09-08 19:04:53.874671 : Epoch  2, Batch    172, Loss  0.890848, Average Loss  0.869147, Time  0.352313
2021-09-08 19:04:55.502122 : Epoch  2, Batch    173, Loss  0.855197, Average Loss  0.869161, Time  0.354180
2021-09-08 19:04:57.186476 : Epoch  2, Batch    174, Loss  0.831423, Average Loss  0.868881, Time  0.398736
2021-09-08 19:04:58.939404 : Epoch  2, Batch    175, Loss  0.843231, Average Loss  0.868655, Time  0.462108
2021-09-08 19:05:00.591863 : Epoch  2, Batch    176, Loss  0.859943, Average Loss  0.868558, Time  0.354576
2021-09-08 19:05:02.246907 : Epoch  2, Batch    177, Loss  0.871142, Average Loss  0.868650, Time  0.353316
2021-09-08 19:05:03.924689 : Epoch  2, Batch    178, Loss  0.879266, Average Loss  0.868643, Time  0.402715
2021-09-08 19:05:05.664829 : Epoch  2, Batch    179, Loss  0.847664, Average Loss  0.868376, Time  0.462924
2021-09-08 19:05:07.295830 : Epoch  2, Batch    180, Loss  0.889875, Average Loss  0.868471, Time  0.352375
2021-09-08 19:05:08.922625 : Epoch  2, Batch    181, Loss  0.859943, Average Loss  0.868403, Time  0.353283
2021-09-08 19:05:10.593455 : Epoch  2, Batch    182, Loss  0.877148, Average Loss  0.868392, Time  0.397625
2021-09-08 19:05:12.346398 : Epoch  2, Batch    183, Loss  0.862485, Average Loss  0.868447, Time  0.463123
2021-09-08 19:05:13.998865 : Epoch  2, Batch    184, Loss  0.877388, Average Loss  0.868459, Time  0.353714
2021-09-08 19:05:15.648647 : Epoch  2, Batch    185, Loss  0.857473, Average Loss  0.868429, Time  0.353712
2021-09-08 19:05:17.329677 : Epoch  2, Batch    186, Loss  0.880699, Average Loss  0.868558, Time  0.399846
2021-09-08 19:05:19.074445 : Epoch  2, Batch    187, Loss  0.845244, Average Loss  0.868410, Time  0.455126
2021-09-08 19:05:20.712515 : Epoch  2, Batch    188, Loss  0.865327, Average Loss  0.868309, Time  0.354086
2021-09-08 19:05:22.351007 : Epoch  2, Batch    189, Loss  0.832925, Average Loss  0.868061, Time  0.353675
2021-09-08 19:09:50.857699 : CheckPoint: Validation Loss  0.00059763, Best Loss  0.00058177
2021-09-08 19:09:52.565109 : Epoch  2, Batch    190, Loss  0.888935, Average Loss  0.868238, Time  0.413671
2021-09-08 19:09:54.311931 : Epoch  2, Batch    191, Loss  0.876110, Average Loss  0.868304, Time  0.461563
2021-09-08 19:09:55.953139 : Epoch  2, Batch    192, Loss  0.905232, Average Loss  0.868486, Time  0.354700
2021-09-08 19:09:57.583435 : Epoch  2, Batch    193, Loss  0.871837, Average Loss  0.868458, Time  0.353331
2021-09-08 19:09:59.267842 : Epoch  2, Batch    194, Loss  0.865958, Average Loss  0.868364, Time  0.410535
2021-09-08 19:10:01.017009 : Epoch  2, Batch    195, Loss  0.882411, Average Loss  0.868385, Time  0.462051
2021-09-08 19:10:02.653067 : Epoch  2, Batch    196, Loss  0.870400, Average Loss  0.868397, Time  0.353380
2021-09-08 19:10:04.279195 : Epoch  2, Batch    197, Loss  0.857667, Average Loss  0.868452, Time  0.353781
2021-09-08 19:10:05.965053 : Epoch  2, Batch    198, Loss  0.872828, Average Loss  0.868542, Time  0.414333
2021-09-08 19:10:07.702524 : Epoch  2, Batch    199, Loss  0.875086, Average Loss  0.868640, Time  0.461689
2021-09-08 19:10:09.354155 : Epoch  2, Batch    200, Loss  0.862760, Average Loss  0.868711, Time  0.354770
2021-09-08 19:10:11.005315 : Epoch  2, Batch    201, Loss  0.865130, Average Loss  0.868677, Time  0.354869
2021-09-08 19:10:12.706532 : Epoch  2, Batch    202, Loss  0.862866, Average Loss  0.868687, Time  0.404027
2021-09-08 19:10:14.458646 : Epoch  2, Batch    203, Loss  0.887906, Average Loss  0.868836, Time  0.462505
2021-09-08 19:10:16.104035 : Epoch  2, Batch    204, Loss  0.896239, Average Loss  0.868896, Time  0.357118
2021-09-08 19:10:17.765944 : Epoch  2, Batch    205, Loss  0.875829, Average Loss  0.868890, Time  0.352465
2021-09-08 19:10:19.459087 : Epoch  2, Batch    206, Loss  0.871738, Average Loss  0.868975, Time  0.416119
2021-09-08 19:10:21.193208 : Epoch  2, Batch    207, Loss  0.858473, Average Loss  0.868952, Time  0.462722
2021-09-08 19:10:22.828227 : Epoch  2, Batch    208, Loss  0.870592, Average Loss  0.869030, Time  0.353903
2021-09-08 19:10:24.473975 : Epoch  2, Batch    209, Loss  0.882248, Average Loss  0.869046, Time  0.354115
2021-09-08 19:10:26.178911 : Epoch  2, Batch    210, Loss  0.858811, Average Loss  0.869004, Time  0.408358
2021-09-08 19:10:27.932236 : Epoch  2, Batch    211, Loss  0.872575, Average Loss  0.868929, Time  0.462768
2021-09-08 19:10:29.562491 : Epoch  2, Batch    212, Loss  0.852206, Average Loss  0.868927, Time  0.352158
2021-09-08 19:10:31.191011 : Epoch  2, Batch    213, Loss  0.899252, Average Loss  0.869092, Time  0.353361
2021-09-08 19:10:32.890553 : Epoch  2, Batch    214, Loss  0.914937, Average Loss  0.869421, Time  0.403825
2021-09-08 19:10:34.631051 : Epoch  2, Batch    215, Loss  0.904145, Average Loss  0.869489, Time  0.462930
2021-09-08 19:10:36.282487 : Epoch  2, Batch    216, Loss  0.863287, Average Loss  0.869428, Time  0.354650
2021-09-08 19:10:37.933925 : Epoch  2, Batch    217, Loss  0.865768, Average Loss  0.869454, Time  0.354513
2021-09-08 19:10:39.621011 : Epoch  2, Batch    218, Loss  0.869922, Average Loss  0.869431, Time  0.399150
2021-09-08 19:10:41.367497 : Epoch  2, Batch    219, Loss  0.832138, Average Loss  0.869278, Time  0.462292
2021-09-08 19:10:42.993167 : Epoch  2, Batch    220, Loss  0.866215, Average Loss  0.869279, Time  0.353013
2021-09-08 19:10:44.624616 : Epoch  2, Batch    221, Loss  0.858491, Average Loss  0.869074, Time  0.353825
2021-09-08 19:10:46.321712 : Epoch  2, Batch    222, Loss  0.876083, Average Loss  0.869254, Time  0.390247
2021-09-08 19:10:48.057090 : Epoch  2, Batch    223, Loss  0.843868, Average Loss  0.869145, Time  0.464059
2021-09-08 19:10:49.704754 : Epoch  2, Batch    224, Loss  0.929924, Average Loss  0.869462, Time  0.354208
2021-09-08 19:10:51.353251 : Epoch  2, Batch    225, Loss  0.872370, Average Loss  0.869328, Time  0.353624
2021-09-08 19:10:53.044654 : Epoch  2, Batch    226, Loss  0.835843, Average Loss  0.869150, Time  0.398991
2021-09-08 19:10:54.791608 : Epoch  2, Batch    227, Loss  0.856114, Average Loss  0.869170, Time  0.463838
2021-09-08 19:10:56.415149 : Epoch  2, Batch    228, Loss  0.858210, Average Loss  0.869128, Time  0.351047
2021-09-08 19:10:58.048045 : Epoch  2, Batch    229, Loss  0.878671, Average Loss  0.869108, Time  0.353996
2021-09-08 19:10:59.724658 : Epoch  2, Batch    230, Loss  0.857133, Average Loss  0.869008, Time  0.400553
2021-09-08 19:11:01.461897 : Epoch  2, Batch    231, Loss  0.865582, Average Loss  0.869136, Time  0.462300
2021-09-08 19:11:03.094114 : Epoch  2, Batch    232, Loss  0.863758, Average Loss  0.869163, Time  0.353785
2021-09-08 19:11:04.722064 : Epoch  2, Batch    233, Loss  0.881028, Average Loss  0.869393, Time  0.355069
2021-09-08 19:11:06.400343 : Epoch  2, Batch    234, Loss  0.882077, Average Loss  0.869377, Time  0.407063
2021-09-08 19:11:08.136335 : Epoch  2, Batch    235, Loss  0.898141, Average Loss  0.869522, Time  0.462021
2021-09-08 19:11:09.765618 : Epoch  2, Batch    236, Loss  0.854663, Average Loss  0.869317, Time  0.353114
2021-09-08 19:11:11.390840 : Epoch  2, Batch    237, Loss  0.879400, Average Loss  0.869323, Time  0.355165
2021-09-08 19:11:13.079826 : Epoch  2, Batch    238, Loss  0.868617, Average Loss  0.869185, Time  0.405447
2021-09-08 19:11:14.815626 : Epoch  2, Batch    239, Loss  0.865755, Average Loss  0.869159, Time  0.463271
2021-09-08 19:11:16.443520 : Epoch  2, Batch    240, Loss  0.879548, Average Loss  0.869061, Time  0.353533
2021-09-08 19:11:18.076175 : Epoch  2, Batch    241, Loss  0.874046, Average Loss  0.869205, Time  0.354839
2021-09-08 19:11:19.771801 : Epoch  2, Batch    242, Loss  0.839157, Average Loss  0.869083, Time  0.401861
2021-09-08 19:11:21.515489 : Epoch  2, Batch    243, Loss  0.861352, Average Loss  0.868916, Time  0.462145
2021-09-08 19:11:23.141087 : Epoch  2, Batch    244, Loss  0.852346, Average Loss  0.868869, Time  0.353875
2021-09-08 19:11:24.773554 : Epoch  2, Batch    245, Loss  0.864276, Average Loss  0.868770, Time  0.355256
2021-09-08 19:11:26.466402 : Epoch  2, Batch    246, Loss  0.869211, Average Loss  0.868832, Time  0.403149
2021-09-08 19:11:28.207386 : Epoch  2, Batch    247, Loss  0.858854, Average Loss  0.868807, Time  0.462250
2021-09-08 19:11:29.838779 : Epoch  2, Batch    248, Loss  0.856066, Average Loss  0.868614, Time  0.354097
2021-09-08 19:11:31.489641 : Epoch  2, Batch    249, Loss  0.870077, Average Loss  0.868665, Time  0.354083
2021-09-08 19:11:33.162999 : Epoch  2, Batch    250, Loss  0.855063, Average Loss  0.868582, Time  0.401754
2021-09-08 19:11:34.906865 : Epoch  2, Batch    251, Loss  0.874471, Average Loss  0.868899, Time  0.463768
2021-09-08 19:11:36.536009 : Epoch  2, Batch    252, Loss  0.887603, Average Loss  0.868982, Time  0.352955
2021-09-08 19:11:38.172703 : Epoch  2, Batch    253, Loss  0.874263, Average Loss  0.869007, Time  0.356624
2021-09-08 19:11:39.848866 : Epoch  2, Batch    254, Loss  0.859778, Average Loss  0.868912, Time  0.399735
2021-09-08 19:11:41.588845 : Epoch  2, Batch    255, Loss  0.861267, Average Loss  0.868886, Time  0.464387
2021-09-08 19:11:43.231950 : Epoch  2, Batch    256, Loss  0.867499, Average Loss  0.868924, Time  0.353869
2021-09-08 19:11:44.877813 : Epoch  2, Batch    257, Loss  0.897510, Average Loss  0.869125, Time  0.354059
2021-09-08 19:11:46.573487 : Epoch  2, Batch    258, Loss  0.900627, Average Loss  0.869437, Time  0.399515
2021-09-08 19:11:48.342544 : Epoch  2, Batch    259, Loss  0.875068, Average Loss  0.869589, Time  0.461986
2021-09-08 19:11:49.998739 : Epoch  2, Batch    260, Loss  0.872284, Average Loss  0.869676, Time  0.354438
2021-09-08 19:11:51.660135 : Epoch  2, Batch    261, Loss  0.880023, Average Loss  0.869648, Time  0.354758
2021-09-08 19:11:53.357770 : Epoch  2, Batch    262, Loss  0.875210, Average Loss  0.869766, Time  0.386021
2021-09-08 19:11:55.130058 : Epoch  2, Batch    263, Loss  0.854407, Average Loss  0.869664, Time  0.462941
2021-09-08 19:11:56.794714 : Epoch  2, Batch    264, Loss  0.844095, Average Loss  0.869440, Time  0.354493
2021-09-08 19:11:58.455716 : Epoch  2, Batch    265, Loss  0.873872, Average Loss  0.869482, Time  0.355939
2021-09-08 19:12:00.136419 : Epoch  2, Batch    266, Loss  0.862197, Average Loss  0.869459, Time  0.373510
2021-09-08 19:12:01.907719 : Epoch  2, Batch    267, Loss  0.874409, Average Loss  0.869222, Time  0.463633
2021-09-08 19:12:03.546404 : Epoch  2, Batch    268, Loss  0.868698, Average Loss  0.869421, Time  0.347616
2021-09-08 19:12:05.186441 : Epoch  2, Batch    269, Loss  0.858446, Average Loss  0.869418, Time  0.353337
2021-09-08 19:12:06.841735 : Epoch  2, Batch    270, Loss  0.863775, Average Loss  0.869336, Time  0.368710
2021-09-08 19:12:08.594219 : Epoch  2, Batch    271, Loss  0.887616, Average Loss  0.869463, Time  0.464307
2021-09-08 19:12:10.244378 : Epoch  2, Batch    272, Loss  0.885738, Average Loss  0.869453, Time  0.354589
2021-09-08 19:12:11.896159 : Epoch  2, Batch    273, Loss  0.865423, Average Loss  0.869660, Time  0.355301
2021-09-08 19:12:13.572160 : Epoch  2, Batch    274, Loss  0.874430, Average Loss  0.869674, Time  0.373079
2021-09-08 19:12:15.345935 : Epoch  2, Batch    275, Loss  0.830864, Average Loss  0.869719, Time  0.459137
2021-09-08 19:12:16.991027 : Epoch  2, Batch    276, Loss  0.888066, Average Loss  0.869764, Time  0.354636
2021-09-08 19:12:18.651224 : Epoch  2, Batch    277, Loss  0.868792, Average Loss  0.869802, Time  0.352609
2021-09-08 19:12:20.349360 : Epoch  2, Batch    278, Loss  0.880952, Average Loss  0.869743, Time  0.384688
2021-09-08 19:12:22.115171 : Epoch  2, Batch    279, Loss  0.857142, Average Loss  0.869802, Time  0.464124
2021-09-08 19:12:23.754927 : Epoch  2, Batch    280, Loss  0.864517, Average Loss  0.869699, Time  0.352466
2021-09-08 19:12:25.404238 : Epoch  2, Batch    281, Loss  0.884280, Average Loss  0.869851, Time  0.353267
2021-09-08 19:12:27.086275 : Epoch  2, Batch    282, Loss  0.879929, Average Loss  0.869905, Time  0.386783
2021-09-08 19:12:28.846146 : Epoch  2, Batch    283, Loss  0.889750, Average Loss  0.870114, Time  0.462827
2021-09-08 19:12:30.490871 : Epoch  2, Batch    284, Loss  0.897853, Average Loss  0.870163, Time  0.353676
2021-09-08 19:12:32.160022 : Epoch  2, Batch    285, Loss  0.868386, Average Loss  0.870247, Time  0.356115
2021-09-08 19:12:33.847110 : Epoch  2, Batch    286, Loss  0.856201, Average Loss  0.870210, Time  0.378562
2021-09-08 19:12:35.615482 : Epoch  2, Batch    287, Loss  0.871640, Average Loss  0.870128, Time  0.463190
2021-09-08 19:12:37.264313 : Epoch  2, Batch    288, Loss  0.887455, Average Loss  0.870158, Time  0.343055
2021-09-08 19:12:46.007465 : Epoch  2, Batch    289, Loss  0.897450, Average Loss  0.870177, Time  0.471798
2021-09-08 19:17:13.193818 : CheckPoint: Validation Loss  0.00060383, Best Loss  0.00058177
2021-09-08 19:17:14.829946 : Epoch  2, Batch    290, Loss  0.881674, Average Loss  0.870168, Time  0.354146
2021-09-08 19:17:16.598316 : Epoch  2, Batch    291, Loss  0.877861, Average Loss  0.870151, Time  0.461073
2021-09-08 19:17:18.272408 : Epoch  2, Batch    292, Loss  0.869948, Average Loss  0.870226, Time  0.351516
2021-09-08 19:17:19.906616 : Epoch  2, Batch    293, Loss  0.893300, Average Loss  0.870254, Time  0.353555
2021-09-08 19:17:21.543997 : Epoch  2, Batch    294, Loss  0.902455, Average Loss  0.870451, Time  0.352299
2021-09-08 19:17:23.290653 : Epoch  2, Batch    295, Loss  0.902262, Average Loss  0.870625, Time  0.461356
2021-09-08 19:17:24.911859 : Epoch  2, Batch    296, Loss  0.892381, Average Loss  0.870740, Time  0.333322
2021-09-08 19:17:26.565745 : Epoch  2, Batch    297, Loss  0.889311, Average Loss  0.870889, Time  0.354510
2021-09-08 19:17:28.229116 : Epoch  2, Batch    298, Loss  0.869944, Average Loss  0.870866, Time  0.362721
2021-09-08 19:17:29.997235 : Epoch  2, Batch    299, Loss  0.871645, Average Loss  0.870793, Time  0.460820
2021-09-08 19:17:31.652034 : Epoch  2, Batch    300, Loss  0.862873, Average Loss  0.870941, Time  0.353983
2021-09-08 19:17:33.296355 : Epoch  2, Batch    301, Loss  0.861679, Average Loss  0.870949, Time  0.355625
2021-09-08 19:17:34.965197 : Epoch  2, Batch    302, Loss  0.876587, Average Loss  0.871065, Time  0.376422
2021-09-08 19:17:36.732365 : Epoch  2, Batch    303, Loss  0.856236, Average Loss  0.870824, Time  0.461043
2021-09-08 19:17:38.376661 : Epoch  2, Batch    304, Loss  0.869952, Average Loss  0.870911, Time  0.352363
2021-09-08 19:17:40.018181 : Epoch  2, Batch    305, Loss  0.840224, Average Loss  0.870797, Time  0.353100
2021-09-08 19:17:41.693634 : Epoch  2, Batch    306, Loss  0.858795, Average Loss  0.870667, Time  0.388939
2021-09-08 19:17:43.443453 : Epoch  2, Batch    307, Loss  0.886703, Average Loss  0.870665, Time  0.463454
2021-09-08 19:17:45.096317 : Epoch  2, Batch    308, Loss  0.865502, Average Loss  0.870627, Time  0.353434
2021-09-08 19:17:46.746942 : Epoch  2, Batch    309, Loss  0.870097, Average Loss  0.870716, Time  0.353771
2021-09-08 19:17:48.413737 : Epoch  2, Batch    310, Loss  0.865846, Average Loss  0.870546, Time  0.378107
2021-09-08 19:17:50.163813 : Epoch  2, Batch    311, Loss  0.882659, Average Loss  0.870547, Time  0.461090
2021-09-08 19:17:51.823025 : Epoch  2, Batch    312, Loss  0.869256, Average Loss  0.870620, Time  0.355800
2021-09-08 19:17:53.480737 : Epoch  2, Batch    313, Loss  0.892861, Average Loss  0.870623, Time  0.353504
2021-09-08 19:17:55.139003 : Epoch  2, Batch    314, Loss  0.847284, Average Loss  0.870530, Time  0.383901
2021-09-08 19:17:56.856240 : Epoch  2, Batch    315, Loss  0.865433, Average Loss  0.870493, Time  0.465470
2021-09-08 19:17:58.455016 : Epoch  2, Batch    316, Loss  0.886142, Average Loss  0.870692, Time  0.352272
2021-09-08 19:18:00.071249 : Epoch  2, Batch    317, Loss  0.867569, Average Loss  0.870868, Time  0.351881
2021-09-08 19:18:01.723844 : Epoch  2, Batch    318, Loss  0.875882, Average Loss  0.871018, Time  0.389672
2021-09-08 19:18:03.453944 : Epoch  2, Batch    319, Loss  0.826032, Average Loss  0.870710, Time  0.464581
2021-09-08 19:18:05.067900 : Epoch  2, Batch    320, Loss  0.844342, Average Loss  0.870441, Time  0.351896
2021-09-08 19:18:06.663060 : Epoch  2, Batch    321, Loss  0.862298, Average Loss  0.870341, Time  0.351638
2021-09-08 19:18:08.323187 : Epoch  2, Batch    322, Loss  0.879322, Average Loss  0.870274, Time  0.395682
2021-09-08 19:18:10.047145 : Epoch  2, Batch    323, Loss  0.876009, Average Loss  0.870266, Time  0.462909
2021-09-08 19:18:11.645175 : Epoch  2, Batch    324, Loss  0.863526, Average Loss  0.870103, Time  0.350922
2021-09-08 19:18:13.243817 : Epoch  2, Batch    325, Loss  0.855109, Average Loss  0.869972, Time  0.352055
2021-09-08 19:18:14.885790 : Epoch  2, Batch    326, Loss  0.894288, Average Loss  0.869995, Time  0.402232
2021-09-08 19:18:16.645284 : Epoch  2, Batch    327, Loss  0.864468, Average Loss  0.869834, Time  0.460487
2021-09-08 19:18:18.314530 : Epoch  2, Batch    328, Loss  0.843627, Average Loss  0.869682, Time  0.353630
2021-09-08 19:18:19.961097 : Epoch  2, Batch    329, Loss  0.884801, Average Loss  0.869725, Time  0.355214
2021-09-08 19:18:21.637642 : Epoch  2, Batch    330, Loss  0.867267, Average Loss  0.869717, Time  0.386858
2021-09-08 19:18:23.395001 : Epoch  2, Batch    331, Loss  0.891895, Average Loss  0.869713, Time  0.463298
2021-09-08 19:18:25.034773 : Epoch  2, Batch    332, Loss  0.886717, Average Loss  0.869736, Time  0.352738
2021-09-08 19:18:26.678554 : Epoch  2, Batch    333, Loss  0.894955, Average Loss  0.869750, Time  0.352864
2021-09-08 19:18:28.357049 : Epoch  2, Batch    334, Loss  0.879493, Average Loss  0.869728, Time  0.385750
2021-09-08 19:18:30.117660 : Epoch  2, Batch    335, Loss  0.862826, Average Loss  0.869628, Time  0.461536
2021-09-08 19:18:31.779434 : Epoch  2, Batch    336, Loss  0.871203, Average Loss  0.869727, Time  0.353949
2021-09-08 19:18:33.419379 : Epoch  2, Batch    337, Loss  0.875648, Average Loss  0.869766, Time  0.353313
2021-09-08 19:18:35.101652 : Epoch  2, Batch    338, Loss  0.863113, Average Loss  0.869721, Time  0.393158
2021-09-08 19:18:36.874380 : Epoch  2, Batch    339, Loss  0.858867, Average Loss  0.869756, Time  0.459129
2021-09-08 19:18:38.532052 : Epoch  2, Batch    340, Loss  0.894956, Average Loss  0.869976, Time  0.352085
2021-09-08 19:18:40.172764 : Epoch  2, Batch    341, Loss  0.877827, Average Loss  0.870053, Time  0.352158
2021-09-08 19:18:41.873170 : Epoch  2, Batch    342, Loss  0.869815, Average Loss  0.870242, Time  0.396915
2021-09-08 19:18:43.637662 : Epoch  2, Batch    343, Loss  0.872529, Average Loss  0.870182, Time  0.463830
2021-09-08 19:18:45.283330 : Epoch  2, Batch    344, Loss  0.848017, Average Loss  0.870244, Time  0.354482
2021-09-08 19:18:46.927066 : Epoch  2, Batch    345, Loss  0.862843, Average Loss  0.870237, Time  0.353325
2021-09-08 19:18:48.616822 : Epoch  2, Batch    346, Loss  0.866687, Average Loss  0.870211, Time  0.385350
2021-09-08 19:18:50.389442 : Epoch  2, Batch    347, Loss  0.847137, Average Loss  0.870018, Time  0.462368
2021-09-08 19:18:52.046798 : Epoch  2, Batch    348, Loss  0.864025, Average Loss  0.870009, Time  0.354141
2021-09-08 19:18:53.700726 : Epoch  2, Batch    349, Loss  0.851921, Average Loss  0.870050, Time  0.352782
2021-09-08 19:18:55.378222 : Epoch  2, Batch    350, Loss  0.875684, Average Loss  0.870216, Time  0.386783
2021-09-08 19:18:57.133849 : Epoch  2, Batch    351, Loss  0.868638, Average Loss  0.870253, Time  0.460349
2021-09-08 19:18:58.772043 : Epoch  2, Batch    352, Loss  0.879639, Average Loss  0.870313, Time  0.353031
2021-09-08 19:19:00.422678 : Epoch  2, Batch    353, Loss  0.884134, Average Loss  0.870370, Time  0.352397
2021-09-08 19:19:02.099141 : Epoch  2, Batch    354, Loss  0.861570, Average Loss  0.870240, Time  0.390794
2021-09-08 19:19:03.874555 : Epoch  2, Batch    355, Loss  0.841819, Average Loss  0.870157, Time  0.463253
2021-09-08 19:19:05.535985 : Epoch  2, Batch    356, Loss  0.881085, Average Loss  0.870057, Time  0.354692
2021-09-08 19:19:07.190018 : Epoch  2, Batch    357, Loss  0.860592, Average Loss  0.870010, Time  0.352897
2021-09-08 19:19:08.872485 : Epoch  2, Batch    358, Loss  0.879416, Average Loss  0.869931, Time  0.379987
2021-09-08 19:19:10.640374 : Epoch  2, Batch    359, Loss  0.864681, Average Loss  0.869953, Time  0.461890
2021-09-08 19:19:12.302377 : Epoch  2, Batch    360, Loss  0.875982, Average Loss  0.869953, Time  0.352619
2021-09-08 19:19:13.943798 : Epoch  2, Batch    361, Loss  0.869709, Average Loss  0.869984, Time  0.351681
2021-09-08 19:19:15.627815 : Epoch  2, Batch    362, Loss  0.858413, Average Loss  0.870004, Time  0.388437
2021-09-08 19:19:17.383831 : Epoch  2, Batch    363, Loss  0.870527, Average Loss  0.869813, Time  0.463120
2021-09-08 19:19:19.023485 : Epoch  2, Batch    364, Loss  0.892256, Average Loss  0.869941, Time  0.352909
2021-09-08 19:19:20.664050 : Epoch  2, Batch    365, Loss  0.903523, Average Loss  0.870158, Time  0.352636
2021-09-08 19:19:22.344503 : Epoch  2, Batch    366, Loss  0.852701, Average Loss  0.870159, Time  0.396122
2021-09-08 19:19:24.097087 : Epoch  2, Batch    367, Loss  0.848235, Average Loss  0.870013, Time  0.462102
2021-09-08 19:19:25.758260 : Epoch  2, Batch    368, Loss  0.865367, Average Loss  0.870231, Time  0.353702
2021-09-08 19:19:27.422682 : Epoch  2, Batch    369, Loss  0.841845, Average Loss  0.870261, Time  0.355849
2021-09-08 19:19:29.116803 : Epoch  2, Batch    370, Loss  0.839933, Average Loss  0.870100, Time  0.388173
2021-09-08 19:19:30.888480 : Epoch  2, Batch    371, Loss  0.891400, Average Loss  0.870278, Time  0.462051
2021-09-08 19:19:32.545964 : Epoch  2, Batch    372, Loss  0.896029, Average Loss  0.870303, Time  0.354201
2021-09-08 19:19:34.210173 : Epoch  2, Batch    373, Loss  0.865655, Average Loss  0.870356, Time  0.355000
2021-09-08 19:19:35.901694 : Epoch  2, Batch    374, Loss  0.866067, Average Loss  0.870529, Time  0.387406
2021-09-08 19:19:37.674704 : Epoch  2, Batch    375, Loss  0.917968, Average Loss  0.870903, Time  0.460585
2021-09-08 19:19:39.333543 : Epoch  2, Batch    376, Loss  0.887518, Average Loss  0.871041, Time  0.354418
2021-09-08 19:19:40.998075 : Epoch  2, Batch    377, Loss  0.885012, Average Loss  0.871110, Time  0.353874
2021-09-08 19:19:42.694495 : Epoch  2, Batch    378, Loss  0.889889, Average Loss  0.871163, Time  0.394401
2021-09-08 19:19:44.459580 : Epoch  2, Batch    379, Loss  0.911150, Average Loss  0.871480, Time  0.461523
2021-09-08 19:19:46.119246 : Epoch  2, Batch    380, Loss  0.875910, Average Loss  0.871411, Time  0.354168
2021-09-08 19:19:47.784846 : Epoch  2, Batch    381, Loss  0.862323, Average Loss  0.871422, Time  0.354261
2021-09-08 19:19:49.478435 : Epoch  2, Batch    382, Loss  0.842523, Average Loss  0.871249, Time  0.393690
2021-09-08 19:19:51.226982 : Epoch  2, Batch    383, Loss  0.872577, Average Loss  0.871300, Time  0.463629
2021-09-08 19:19:52.869372 : Epoch  2, Batch    384, Loss  0.868547, Average Loss  0.871256, Time  0.353191
2021-09-08 19:19:54.508975 : Epoch  2, Batch    385, Loss  0.874306, Average Loss  0.871340, Time  0.353257
2021-09-08 19:19:56.210216 : Epoch  2, Batch    386, Loss  0.873601, Average Loss  0.871304, Time  0.389371
2021-09-08 19:19:57.963810 : Epoch  2, Batch    387, Loss  0.888693, Average Loss  0.871522, Time  0.462538
2021-09-08 19:19:59.603227 : Epoch  2, Batch    388, Loss  0.858073, Average Loss  0.871485, Time  0.354755
2021-09-08 19:20:01.258591 : Epoch  2, Batch    389, Loss  0.894362, Average Loss  0.871792, Time  0.353284
2021-09-08 19:24:30.878211 : CheckPoint: Validation Loss  0.00059503, Best Loss  0.00058177
2021-09-08 19:24:32.600534 : Epoch  2, Batch    390, Loss  0.855838, Average Loss  0.871627, Time  0.427907
2021-09-08 19:24:34.244118 : Epoch  2, Batch    391, Loss  0.892668, Average Loss  0.871710, Time  0.354060
2021-09-08 19:24:35.882117 : Epoch  2, Batch    392, Loss  0.884900, Average Loss  0.871608, Time  0.353233
2021-09-08 19:24:37.614423 : Epoch  2, Batch    393, Loss  0.866209, Average Loss  0.871580, Time  0.441878
2021-09-08 19:24:39.369658 : Epoch  2, Batch    394, Loss  0.873325, Average Loss  0.871617, Time  0.464381
2021-09-08 19:24:41.026694 : Epoch  2, Batch    395, Loss  0.904361, Average Loss  0.871727, Time  0.353975
2021-09-08 19:24:42.686532 : Epoch  2, Batch    396, Loss  0.850788, Average Loss  0.871628, Time  0.353423
2021-09-08 19:24:44.385422 : Epoch  2, Batch    397, Loss  0.850666, Average Loss  0.871593, Time  0.395219
2021-09-08 19:24:46.161417 : Epoch  2, Batch    398, Loss  0.867818, Average Loss  0.871568, Time  0.460718
2021-09-08 19:24:47.817020 : Epoch  2, Batch    399, Loss  0.853469, Average Loss  0.871460, Time  0.348773
2021-09-08 19:24:49.457928 : Epoch  2, Batch    400, Loss  0.868677, Average Loss  0.871490, Time  0.353750
2021-09-08 19:24:51.118028 : Epoch  2, Batch    401, Loss  0.854668, Average Loss  0.871438, Time  0.370713
2021-09-08 19:24:52.872915 : Epoch  2, Batch    402, Loss  0.854775, Average Loss  0.871397, Time  0.463937
2021-09-08 19:24:54.523674 : Epoch  2, Batch    403, Loss  0.907853, Average Loss  0.871497, Time  0.346749
2021-09-08 19:24:56.167263 : Epoch  2, Batch    404, Loss  0.837241, Average Loss  0.871202, Time  0.355869
2021-09-08 19:24:57.823208 : Epoch  2, Batch    405, Loss  0.851660, Average Loss  0.871081, Time  0.369872
2021-09-08 19:24:59.585559 : Epoch  2, Batch    406, Loss  0.839693, Average Loss  0.870921, Time  0.460425
2021-09-08 19:25:01.251986 : Epoch  2, Batch    407, Loss  0.888164, Average Loss  0.871069, Time  0.354466
2021-09-08 19:25:02.891388 : Epoch  2, Batch    408, Loss  0.868306, Average Loss  0.871058, Time  0.352073
2021-09-08 19:25:04.568244 : Epoch  2, Batch    409, Loss  0.883147, Average Loss  0.871062, Time  0.390175
2021-09-08 19:25:06.316001 : Epoch  2, Batch    410, Loss  0.875352, Average Loss  0.871145, Time  0.462736
2021-09-08 19:25:07.954168 : Epoch  2, Batch    411, Loss  0.899116, Average Loss  0.871278, Time  0.352881
2021-09-08 19:25:09.599925 : Epoch  2, Batch    412, Loss  0.842412, Average Loss  0.871229, Time  0.353060
2021-09-08 19:25:11.281388 : Epoch  2, Batch    413, Loss  0.823964, Average Loss  0.870852, Time  0.388685
2021-09-08 19:25:13.040270 : Epoch  2, Batch    414, Loss  0.851302, Average Loss  0.870534, Time  0.459008
2021-09-08 19:25:14.701507 : Epoch  2, Batch    415, Loss  0.888643, Average Loss  0.870457, Time  0.354271
2021-09-08 19:25:16.342910 : Epoch  2, Batch    416, Loss  0.862619, Average Loss  0.870453, Time  0.353306
2021-09-08 19:25:18.023689 : Epoch  2, Batch    417, Loss  0.865357, Average Loss  0.870451, Time  0.391025
2021-09-08 19:25:19.768906 : Epoch  2, Batch    418, Loss  0.865712, Average Loss  0.870430, Time  0.461286
2021-09-08 19:25:21.430136 : Epoch  2, Batch    419, Loss  0.887206, Average Loss  0.870706, Time  0.354922
2021-09-08 19:25:23.083705 : Epoch  2, Batch    420, Loss  0.840806, Average Loss  0.870578, Time  0.352210
2021-09-08 19:25:24.777294 : Epoch  2, Batch    421, Loss  0.844931, Average Loss  0.870511, Time  0.390896
2021-09-08 19:25:26.548183 : Epoch  2, Batch    422, Loss  0.887538, Average Loss  0.870568, Time  0.462015
2021-09-08 19:25:28.204342 : Epoch  2, Batch    423, Loss  0.858567, Average Loss  0.870641, Time  0.352426
2021-09-08 19:25:29.846534 : Epoch  2, Batch    424, Loss  0.881518, Average Loss  0.870399, Time  0.353338
2021-09-08 19:25:31.524354 : Epoch  2, Batch    425, Loss  0.861466, Average Loss  0.870345, Time  0.389376
2021-09-08 19:25:33.278447 : Epoch  2, Batch    426, Loss  0.855212, Average Loss  0.870442, Time  0.463394
2021-09-08 19:25:35.157699 : Epoch  2, Batch    427, Loss  0.867436, Average Loss  0.870498, Time  0.455030
2021-09-08 19:25:36.804758 : Epoch  2, Batch    428, Loss  0.920564, Average Loss  0.870810, Time  0.355878
2021-09-08 19:25:38.443589 : Epoch  2, Batch    429, Loss  0.874441, Average Loss  0.870789, Time  0.353296
2021-09-08 19:25:40.145030 : Epoch  2, Batch    430, Loss  0.861828, Average Loss  0.870812, Time  0.410393
2021-09-08 19:25:41.896522 : Epoch  2, Batch    431, Loss  0.861464, Average Loss  0.870792, Time  0.463214
2021-09-08 19:25:43.540379 : Epoch  2, Batch    432, Loss  0.866629, Average Loss  0.870806, Time  0.351868
2021-09-08 19:25:45.197267 : Epoch  2, Batch    433, Loss  0.868576, Average Loss  0.870744, Time  0.353706
2021-09-08 19:25:46.901559 : Epoch  2, Batch    434, Loss  0.853187, Average Loss  0.870600, Time  0.388403
2021-09-08 19:25:48.658578 : Epoch  2, Batch    435, Loss  0.883163, Average Loss  0.870525, Time  0.463460
2021-09-08 19:25:50.308510 : Epoch  2, Batch    436, Loss  0.864022, Average Loss  0.870571, Time  0.355255
2021-09-08 19:25:51.956742 : Epoch  2, Batch    437, Loss  0.860922, Average Loss  0.870479, Time  0.353719
2021-09-08 19:25:53.630781 : Epoch  2, Batch    438, Loss  0.867784, Average Loss  0.870475, Time  0.372539
2021-09-08 19:25:55.383174 : Epoch  2, Batch    439, Loss  0.844302, Average Loss  0.870368, Time  0.462504
2021-09-08 19:25:57.021979 : Epoch  2, Batch    440, Loss  0.867744, Average Loss  0.870309, Time  0.352774
2021-09-08 19:25:58.665929 : Epoch  2, Batch    441, Loss  0.905764, Average Loss  0.870467, Time  0.352475
2021-09-08 19:26:00.324406 : Epoch  2, Batch    442, Loss  0.876792, Average Loss  0.870655, Time  0.371790
2021-09-08 19:26:02.040491 : Epoch  2, Batch    443, Loss  0.867305, Average Loss  0.870685, Time  0.462034
2021-09-08 19:26:03.704287 : Epoch  2, Batch    444, Loss  0.873310, Average Loss  0.870790, Time  0.356462
2021-09-08 19:26:05.370527 : Epoch  2, Batch    445, Loss  0.870410, Average Loss  0.870821, Time  0.355508
2021-09-08 19:26:07.038294 : Epoch  2, Batch    446, Loss  0.865489, Average Loss  0.870802, Time  0.367946
2021-09-08 19:26:08.794469 : Epoch  2, Batch    447, Loss  0.881258, Average Loss  0.870914, Time  0.461576
2021-09-08 19:26:10.455424 : Epoch  2, Batch    448, Loss  0.849209, Average Loss  0.870880, Time  0.351876
2021-09-08 19:26:12.104337 : Epoch  2, Batch    449, Loss  0.872811, Average Loss  0.870893, Time  0.353518
2021-09-08 19:26:13.760011 : Epoch  2, Batch    450, Loss  0.830780, Average Loss  0.870772, Time  0.366377
2021-09-08 19:26:15.515265 : Epoch  2, Batch    451, Loss  0.848430, Average Loss  0.870642, Time  0.463609
2021-09-08 19:26:17.155456 : Epoch  2, Batch    452, Loss  0.879029, Average Loss  0.870599, Time  0.347264
2021-09-08 19:26:18.801539 : Epoch  2, Batch    453, Loss  0.884055, Average Loss  0.870648, Time  0.353858
2021-09-08 19:26:20.461727 : Epoch  2, Batch    454, Loss  0.867800, Average Loss  0.870688, Time  0.361979
2021-09-08 19:26:22.239577 : Epoch  2, Batch    455, Loss  0.855061, Average Loss  0.870657, Time  0.463185
2021-09-08 19:26:23.864759 : Epoch  2, Batch    456, Loss  0.873536, Average Loss  0.870687, Time  0.333494
2021-09-08 19:26:25.521568 : Epoch  2, Batch    457, Loss  0.875687, Average Loss  0.870578, Time  0.353491
2021-09-08 19:26:27.190451 : Epoch  2, Batch    458, Loss  0.831165, Average Loss  0.870231, Time  0.359496
2021-09-08 19:26:28.961255 : Epoch  2, Batch    459, Loss  0.876306, Average Loss  0.870237, Time  0.463139
2021-09-08 19:26:30.628756 : Epoch  2, Batch    460, Loss  0.869615, Average Loss  0.870224, Time  0.355314
2021-09-08 19:26:32.287794 : Epoch  2, Batch    461, Loss  0.853664, Average Loss  0.870092, Time  0.355514
2021-09-08 19:26:33.975614 : Epoch  2, Batch    462, Loss  0.873621, Average Loss  0.870084, Time  0.372584
2021-09-08 19:26:35.780753 : Epoch  2, Batch    463, Loss  0.863857, Average Loss  0.870131, Time  0.459101
2021-09-08 19:26:37.486802 : Epoch  2, Batch    464, Loss  0.877454, Average Loss  0.870298, Time  0.355900
2021-09-08 19:26:39.146124 : Epoch  2, Batch    465, Loss  0.873843, Average Loss  0.870298, Time  0.354524
2021-09-08 19:26:40.815707 : Epoch  2, Batch    466, Loss  0.848355, Average Loss  0.870229, Time  0.372581
2021-09-08 19:26:42.589256 : Epoch  2, Batch    467, Loss  0.872035, Average Loss  0.870217, Time  0.463699
2021-09-08 19:26:44.234873 : Epoch  2, Batch    468, Loss  0.870106, Average Loss  0.870224, Time  0.355038
2021-09-08 19:26:45.877522 : Epoch  2, Batch    469, Loss  0.848974, Average Loss  0.870176, Time  0.354670
2021-09-08 19:26:47.558385 : Epoch  2, Batch    470, Loss  0.877765, Average Loss  0.870246, Time  0.374041
2021-09-08 19:26:49.326342 : Epoch  2, Batch    471, Loss  0.873823, Average Loss  0.870177, Time  0.462662
2021-09-08 19:26:50.967256 : Epoch  2, Batch    472, Loss  0.865199, Average Loss  0.870075, Time  0.353352
2021-09-08 19:26:52.611383 : Epoch  2, Batch    473, Loss  0.843750, Average Loss  0.869966, Time  0.353848
2021-09-08 19:26:54.266831 : Epoch  2, Batch    474, Loss  0.868028, Average Loss  0.869934, Time  0.374582
2021-09-08 19:26:56.020160 : Epoch  2, Batch    475, Loss  0.879802, Average Loss  0.870179, Time  0.465117
2021-09-08 19:26:57.664519 : Epoch  2, Batch    476, Loss  0.861836, Average Loss  0.870048, Time  0.352957
2021-09-08 19:26:59.316711 : Epoch  2, Batch    477, Loss  0.847662, Average Loss  0.869942, Time  0.352611
2021-09-08 19:27:00.997631 : Epoch  2, Batch    478, Loss  0.858478, Average Loss  0.869830, Time  0.377372
2021-09-08 19:27:02.772096 : Epoch  2, Batch    479, Loss  0.864523, Average Loss  0.869867, Time  0.465338
2021-09-08 19:27:04.434229 : Epoch  2, Batch    480, Loss  0.866862, Average Loss  0.869878, Time  0.354697
2021-09-08 19:27:06.098073 : Epoch  2, Batch    481, Loss  0.884412, Average Loss  0.869879, Time  0.354638
2021-09-08 19:27:07.781032 : Epoch  2, Batch    482, Loss  0.840746, Average Loss  0.869683, Time  0.375380
2021-09-08 19:27:09.547718 : Epoch  2, Batch    483, Loss  0.895751, Average Loss  0.869713, Time  0.463175
2021-09-08 19:27:11.187170 : Epoch  2, Batch    484, Loss  0.889648, Average Loss  0.869672, Time  0.348551
2021-09-08 19:27:12.853768 : Epoch  2, Batch    485, Loss  0.866393, Average Loss  0.869662, Time  0.356188
2021-09-08 19:27:14.539898 : Epoch  2, Batch    486, Loss  0.870560, Average Loss  0.869734, Time  0.367229
2021-09-08 19:27:16.341406 : Epoch  2, Batch    487, Loss  0.857703, Average Loss  0.869664, Time  0.464566
2021-09-08 19:27:17.987623 : Epoch  2, Batch    488, Loss  0.878309, Average Loss  0.869619, Time  0.354972
2021-09-08 19:27:19.643868 : Epoch  2, Batch    489, Loss  0.883505, Average Loss  0.869549, Time  0.354775
2021-09-08 19:31:46.487526 : CheckPoint: Validation Loss  0.00060600, Best Loss  0.00058177
2021-09-08 19:31:48.162372 : Epoch  2, Batch    490, Loss  0.867475, Average Loss  0.869478, Time  0.375577
2021-09-08 19:31:49.920428 : Epoch  2, Batch    491, Loss  0.912838, Average Loss  0.869653, Time  0.464634
2021-09-08 19:31:51.561327 : Epoch  2, Batch    492, Loss  0.874216, Average Loss  0.869674, Time  0.347929
2021-09-08 19:31:53.209494 : Epoch  2, Batch    493, Loss  0.869975, Average Loss  0.869557, Time  0.354744
2021-09-08 19:31:54.865217 : Epoch  2, Batch    494, Loss  0.876181, Average Loss  0.869426, Time  0.364172
2021-09-08 19:31:56.638177 : Epoch  2, Batch    495, Loss  0.880977, Average Loss  0.869320, Time  0.460616
2021-09-08 19:31:58.329294 : Epoch  2, Batch    496, Loss  0.868912, Average Loss  0.869202, Time  0.354635
2021-09-08 19:31:59.996231 : Epoch  2, Batch    497, Loss  0.884673, Average Loss  0.869179, Time  0.355381
2021-09-08 19:32:01.691454 : Epoch  2, Batch    498, Loss  0.876373, Average Loss  0.869211, Time  0.379025
2021-09-08 19:32:03.470167 : Epoch  2, Batch    499, Loss  0.875634, Average Loss  0.869231, Time  0.460552
2021-09-08 19:32:05.138929 : Epoch  2, Batch    500, Loss  0.852635, Average Loss  0.869180, Time  0.353226
2021-09-08 19:32:06.847436 : Epoch  2, Batch    501, Loss  0.881584, Average Loss  0.869279, Time  0.354831
2021-09-08 19:32:08.546289 : Epoch  2, Batch    502, Loss  0.857664, Average Loss  0.869185, Time  0.384291
2021-09-08 19:32:10.313701 : Epoch  2, Batch    503, Loss  0.905164, Average Loss  0.869430, Time  0.462857
2021-09-08 19:32:11.957292 : Epoch  2, Batch    504, Loss  0.835081, Average Loss  0.869255, Time  0.353621
2021-09-08 19:32:13.606921 : Epoch  2, Batch    505, Loss  0.888312, Average Loss  0.869496, Time  0.353716
2021-09-08 19:32:15.284754 : Epoch  2, Batch    506, Loss  0.870369, Average Loss  0.869553, Time  0.382592
2021-09-08 19:32:17.045704 : Epoch  2, Batch    507, Loss  0.852823, Average Loss  0.869384, Time  0.463377
2021-09-08 19:32:18.692471 : Epoch  2, Batch    508, Loss  0.885165, Average Loss  0.869482, Time  0.353507
2021-09-08 19:32:20.343957 : Epoch  2, Batch    509, Loss  0.858354, Average Loss  0.869424, Time  0.354632
2021-09-08 19:32:22.024131 : Epoch  2, Batch    510, Loss  0.845800, Average Loss  0.869323, Time  0.370412
2021-09-08 19:32:23.815674 : Epoch  2, Batch    511, Loss  0.897893, Average Loss  0.869400, Time  0.462232
2021-09-08 19:32:25.440317 : Epoch  2, Batch    512, Loss  0.856010, Average Loss  0.869333, Time  0.332852
2021-09-08 19:32:27.104778 : Epoch  2, Batch    513, Loss  0.845528, Average Loss  0.869097, Time  0.354655
2021-09-08 19:32:28.754756 : Epoch  2, Batch    514, Loss  0.863387, Average Loss  0.869177, Time  0.356598
2021-09-08 19:32:30.513131 : Epoch  2, Batch    515, Loss  0.877584, Average Loss  0.869238, Time  0.464695
2021-09-08 19:32:32.155342 : Epoch  2, Batch    516, Loss  0.878813, Average Loss  0.869201, Time  0.346769
2021-09-08 19:32:33.809734 : Epoch  2, Batch    517, Loss  0.852603, Average Loss  0.869127, Time  0.353975
2021-09-08 19:32:35.465486 : Epoch  2, Batch    518, Loss  0.863196, Average Loss  0.869063, Time  0.361768
2021-09-08 19:32:37.223476 : Epoch  2, Batch    519, Loss  0.878202, Average Loss  0.869324, Time  0.463352
2021-09-08 19:32:38.869533 : Epoch  2, Batch    520, Loss  0.863542, Average Loss  0.869420, Time  0.353734
2021-09-08 19:32:40.521182 : Epoch  2, Batch    521, Loss  0.856743, Average Loss  0.869392, Time  0.355546
2021-09-08 19:32:42.186105 : Epoch  2, Batch    522, Loss  0.865080, Average Loss  0.869321, Time  0.368553
2021-09-08 19:32:43.956888 : Epoch  2, Batch    523, Loss  0.890412, Average Loss  0.869393, Time  0.461767
2021-09-08 19:32:45.611542 : Epoch  2, Batch    524, Loss  0.856356, Average Loss  0.869357, Time  0.353168
2021-09-08 19:32:47.263236 : Epoch  2, Batch    525, Loss  0.879835, Average Loss  0.869481, Time  0.353515
2021-09-08 19:32:48.927548 : Epoch  2, Batch    526, Loss  0.848869, Average Loss  0.869254, Time  0.370620
2021-09-08 19:32:50.679887 : Epoch  2, Batch    527, Loss  0.882554, Average Loss  0.869344, Time  0.460671
2021-09-08 19:32:52.324243 : Epoch  2, Batch    528, Loss  0.865447, Average Loss  0.869453, Time  0.353337
2021-09-08 19:32:53.974814 : Epoch  2, Batch    529, Loss  0.851550, Average Loss  0.869287, Time  0.353745
2021-09-08 19:32:55.642794 : Epoch  2, Batch    530, Loss  0.847961, Average Loss  0.869190, Time  0.375502
2021-09-08 19:32:57.406487 : Epoch  2, Batch    531, Loss  0.844718, Average Loss  0.868955, Time  0.463160
2021-09-08 19:32:59.051177 : Epoch  2, Batch    532, Loss  0.877299, Average Loss  0.868907, Time  0.353919
2021-09-08 19:33:00.705229 : Epoch  2, Batch    533, Loss  0.869300, Average Loss  0.868779, Time  0.356098
2021-09-08 19:33:02.369057 : Epoch  2, Batch    534, Loss  0.890928, Average Loss  0.868836, Time  0.369622
2021-09-08 19:33:04.138068 : Epoch  2, Batch    535, Loss  0.882823, Average Loss  0.868936, Time  0.464429
2021-09-08 19:33:05.791521 : Epoch  2, Batch    536, Loss  0.854205, Average Loss  0.868851, Time  0.347204
2021-09-08 19:33:07.439334 : Epoch  2, Batch    537, Loss  0.873396, Average Loss  0.868840, Time  0.355369
2021-09-08 19:33:09.096792 : Epoch  2, Batch    538, Loss  0.877110, Average Loss  0.868910, Time  0.365704
2021-09-08 19:33:10.855942 : Epoch  2, Batch    539, Loss  0.835637, Average Loss  0.868794, Time  0.463716
2021-09-08 19:33:12.505260 : Epoch  2, Batch    540, Loss  0.850758, Average Loss  0.868573, Time  0.350441
2021-09-08 19:33:14.158801 : Epoch  2, Batch    541, Loss  0.868444, Average Loss  0.868526, Time  0.354143
2021-09-08 19:33:15.824279 : Epoch  2, Batch    542, Loss  0.841555, Average Loss  0.868385, Time  0.364748
2021-09-08 19:33:17.589733 : Epoch  2, Batch    543, Loss  0.890140, Average Loss  0.868473, Time  0.463460
2021-09-08 19:33:19.235985 : Epoch  2, Batch    544, Loss  0.871617, Average Loss  0.868591, Time  0.347246
2021-09-08 19:33:20.884769 : Epoch  2, Batch    545, Loss  0.853001, Average Loss  0.868542, Time  0.354306
2021-09-08 19:33:22.544268 : Epoch  2, Batch    546, Loss  0.849648, Average Loss  0.868456, Time  0.365282
2021-09-08 19:33:24.295636 : Epoch  2, Batch    547, Loss  0.877371, Average Loss  0.868608, Time  0.463156
2021-09-08 19:33:25.944057 : Epoch  2, Batch    548, Loss  0.874780, Average Loss  0.868661, Time  0.352937
2021-09-08 19:33:27.593814 : Epoch  2, Batch    549, Loss  0.863580, Average Loss  0.868720, Time  0.353747
2021-09-08 19:33:29.278922 : Epoch  2, Batch    550, Loss  0.877724, Average Loss  0.868730, Time  0.373019
2021-09-08 19:33:31.039119 : Epoch  2, Batch    551, Loss  0.855991, Average Loss  0.868667, Time  0.466493
2021-09-08 19:33:32.686502 : Epoch  2, Batch    552, Loss  0.861961, Average Loss  0.868578, Time  0.346699
2021-09-08 19:33:34.337329 : Epoch  2, Batch    553, Loss  0.859101, Average Loss  0.868453, Time  0.354494
2021-09-08 19:33:35.997497 : Epoch  2, Batch    554, Loss  0.870724, Average Loss  0.868499, Time  0.364339
2021-09-08 19:33:37.756906 : Epoch  2, Batch    555, Loss  0.863957, Average Loss  0.868609, Time  0.463250
2021-09-08 19:33:39.403234 : Epoch  2, Batch    556, Loss  0.877414, Average Loss  0.868591, Time  0.353008
2021-09-08 19:33:41.053901 : Epoch  2, Batch    557, Loss  0.866873, Average Loss  0.868623, Time  0.353414
2021-09-08 19:33:42.717540 : Epoch  2, Batch    558, Loss  0.856474, Average Loss  0.868508, Time  0.373093
2021-09-08 19:33:44.477708 : Epoch  2, Batch    559, Loss  0.869130, Average Loss  0.868530, Time  0.465979
2021-09-08 19:33:46.122807 : Epoch  2, Batch    560, Loss  0.866987, Average Loss  0.868485, Time  0.347463
2021-09-08 19:33:47.773118 : Epoch  2, Batch    561, Loss  0.909522, Average Loss  0.868684, Time  0.354923
2021-09-08 19:33:49.428993 : Epoch  2, Batch    562, Loss  0.866122, Average Loss  0.868723, Time  0.364787
2021-09-08 19:33:51.187331 : Epoch  2, Batch    563, Loss  0.871348, Average Loss  0.868727, Time  0.459316
2021-09-08 19:33:52.836750 : Epoch  2, Batch    564, Loss  0.888697, Average Loss  0.868709, Time  0.352444
2021-09-08 19:33:54.496975 : Epoch  2, Batch    565, Loss  0.838505, Average Loss  0.868384, Time  0.354478
2021-09-08 19:33:56.166355 : Epoch  2, Batch    566, Loss  0.869939, Average Loss  0.868470, Time  0.374330
2021-09-08 19:33:57.930917 : Epoch  2, Batch    567, Loss  0.877842, Average Loss  0.868618, Time  0.463431
2021-09-08 19:33:59.569415 : Epoch  2, Batch    568, Loss  0.894951, Average Loss  0.868766, Time  0.334687
2021-09-08 19:34:01.235721 : Epoch  2, Batch    569, Loss  0.898511, Average Loss  0.869049, Time  0.355071
2021-09-08 19:34:02.940825 : Epoch  2, Batch    570, Loss  0.877702, Average Loss  0.869238, Time  0.407476
2021-09-08 19:34:04.654452 : Epoch  2, Batch    571, Loss  0.856764, Average Loss  0.869065, Time  0.411763
2021-09-08 19:34:06.300278 : Epoch  2, Batch    572, Loss  0.869633, Average Loss  0.868933, Time  0.354679
2021-09-08 19:34:07.987051 : Epoch  2, Batch    573, Loss  0.858460, Average Loss  0.868897, Time  0.401626
2021-09-08 19:34:09.711570 : Epoch  2, Batch    574, Loss  0.854587, Average Loss  0.868840, Time  0.412085
2021-09-08 19:34:11.357235 : Epoch  2, Batch    575, Loss  0.885295, Average Loss  0.868676, Time  0.353145
2021-09-08 19:34:13.045557 : Epoch  2, Batch    576, Loss  0.843299, Average Loss  0.868455, Time  0.402447
2021-09-08 19:34:14.775010 : Epoch  2, Batch    577, Loss  0.870485, Average Loss  0.868383, Time  0.414399
2021-09-08 19:34:16.410384 : Epoch  2, Batch    578, Loss  0.899647, Average Loss  0.868431, Time  0.353861
2021-09-08 19:34:18.087714 : Epoch  2, Batch    579, Loss  0.876129, Average Loss  0.868256, Time  0.404373
2021-09-08 19:34:19.789418 : Epoch  2, Batch    580, Loss  0.869811, Average Loss  0.868226, Time  0.411417
2021-09-08 19:34:21.432524 : Epoch  2, Batch    581, Loss  0.844269, Average Loss  0.868136, Time  0.352877
2021-09-08 19:34:23.124107 : Epoch  2, Batch    582, Loss  0.865780, Average Loss  0.868252, Time  0.402249
2021-09-08 19:34:24.843738 : Epoch  2, Batch    583, Loss  0.876388, Average Loss  0.868271, Time  0.409602
2021-09-08 19:34:26.474699 : Epoch  2, Batch    584, Loss  0.893552, Average Loss  0.868396, Time  0.352649
2021-09-08 19:34:28.146716 : Epoch  2, Batch    585, Loss  0.862591, Average Loss  0.868337, Time  0.403607
2021-09-08 19:34:29.867549 : Epoch  2, Batch    586, Loss  0.861178, Average Loss  0.868275, Time  0.411993
2021-09-08 19:34:31.523274 : Epoch  2, Batch    587, Loss  0.875480, Average Loss  0.868209, Time  0.352620
2021-09-08 19:34:33.211040 : Epoch  2, Batch    588, Loss  0.875549, Average Loss  0.868296, Time  0.400577
2021-09-08 19:34:34.977258 : Epoch  2, Batch    589, Loss  0.873779, Average Loss  0.868194, Time  0.415316
2021-09-08 19:39:01.800710 : CheckPoint: Validation Loss  0.00060311, Best Loss  0.00058177
2021-09-08 19:39:03.446273 : Epoch  2, Batch    590, Loss  0.866717, Average Loss  0.868248, Time  0.361827
2021-09-08 19:39:05.212871 : Epoch  2, Batch    591, Loss  0.864045, Average Loss  0.868105, Time  0.460980
2021-09-08 19:39:06.874635 : Epoch  2, Batch    592, Loss  0.860533, Average Loss  0.867983, Time  0.353717
2021-09-08 19:39:08.540164 : Epoch  2, Batch    593, Loss  0.849768, Average Loss  0.867901, Time  0.354307
2021-09-08 19:39:10.220484 : Epoch  2, Batch    594, Loss  0.872296, Average Loss  0.867896, Time  0.378744
2021-09-08 19:39:11.972839 : Epoch  2, Batch    595, Loss  0.885421, Average Loss  0.867801, Time  0.461201
2021-09-08 19:39:13.612564 : Epoch  2, Batch    596, Loss  0.892752, Average Loss  0.868011, Time  0.353029
2021-09-08 19:39:15.262708 : Epoch  2, Batch    597, Loss  0.893326, Average Loss  0.868224, Time  0.354162
2021-09-08 19:39:16.940173 : Epoch  2, Batch    598, Loss  0.892346, Average Loss  0.868347, Time  0.390296
2021-09-08 19:39:18.692855 : Epoch  2, Batch    599, Loss  0.856962, Average Loss  0.868364, Time  0.460726
2021-09-08 19:39:20.335377 : Epoch  2, Batch    600, Loss  0.845297, Average Loss  0.868247, Time  0.353077
2021-09-08 19:39:21.977529 : Epoch  2, Batch    601, Loss  0.874360, Average Loss  0.868346, Time  0.352703
2021-09-08 19:39:23.660269 : Epoch  2, Batch    602, Loss  0.885299, Average Loss  0.868498, Time  0.391663
2021-09-08 19:39:25.416102 : Epoch  2, Batch    603, Loss  0.862308, Average Loss  0.868271, Time  0.460493
2021-09-08 19:39:27.067334 : Epoch  2, Batch    604, Loss  0.904750, Average Loss  0.868608, Time  0.353449
2021-09-08 19:39:28.709185 : Epoch  2, Batch    605, Loss  0.852176, Average Loss  0.868611, Time  0.353735
2021-09-08 19:39:30.385034 : Epoch  2, Batch    606, Loss  0.868234, Average Loss  0.868753, Time  0.398833
2021-09-08 19:39:32.143755 : Epoch  2, Batch    607, Loss  0.863292, Average Loss  0.868629, Time  0.461937
2021-09-08 19:39:33.794851 : Epoch  2, Batch    608, Loss  0.871710, Average Loss  0.868646, Time  0.352229
2021-09-08 19:39:35.441084 : Epoch  2, Batch    609, Loss  0.845900, Average Loss  0.868460, Time  0.352483
2021-09-08 19:39:37.130664 : Epoch  2, Batch    610, Loss  0.890419, Average Loss  0.868535, Time  0.401211
2021-09-08 19:39:38.893700 : Epoch  2, Batch    611, Loss  0.863523, Average Loss  0.868357, Time  0.461732
2021-09-08 19:39:40.536385 : Epoch  2, Batch    612, Loss  0.863812, Average Loss  0.868464, Time  0.353762
2021-09-08 19:39:42.175818 : Epoch  2, Batch    613, Loss  0.836936, Average Loss  0.868529, Time  0.353262
2021-09-08 19:39:43.876770 : Epoch  2, Batch    614, Loss  0.868473, Average Loss  0.868615, Time  0.398405
2021-09-08 19:39:45.640875 : Epoch  2, Batch    615, Loss  0.869959, Average Loss  0.868522, Time  0.462886
2021-09-08 19:39:47.287416 : Epoch  2, Batch    616, Loss  0.890332, Average Loss  0.868660, Time  0.353920
2021-09-08 19:39:48.932986 : Epoch  2, Batch    617, Loss  0.879501, Average Loss  0.868731, Time  0.354031
2021-09-08 19:39:50.640986 : Epoch  2, Batch    618, Loss  0.865975, Average Loss  0.868732, Time  0.401968
2021-09-08 19:39:52.391449 : Epoch  2, Batch    619, Loss  0.848870, Average Loss  0.868541, Time  0.462040
2021-09-08 19:39:54.034099 : Epoch  2, Batch    620, Loss  0.854890, Average Loss  0.868611, Time  0.353303
2021-09-08 19:39:55.678753 : Epoch  2, Batch    621, Loss  0.870256, Average Loss  0.868738, Time  0.353747
2021-09-08 19:39:57.365904 : Epoch  2, Batch    622, Loss  0.887940, Average Loss  0.868740, Time  0.397502
2021-09-08 19:39:59.123333 : Epoch  2, Batch    623, Loss  0.901797, Average Loss  0.868956, Time  0.459722
2021-09-08 19:40:00.778614 : Epoch  2, Batch    624, Loss  0.901705, Average Loss  0.869057, Time  0.354221
2021-09-08 19:40:02.438299 : Epoch  2, Batch    625, Loss  0.875554, Average Loss  0.869127, Time  0.354388
2021-09-08 19:40:04.147049 : Epoch  2, Batch    626, Loss  0.877552, Average Loss  0.869239, Time  0.398956
2021-09-08 19:40:05.922487 : Epoch  2, Batch    627, Loss  0.889250, Average Loss  0.869348, Time  0.462474
2021-09-08 19:40:07.580454 : Epoch  2, Batch    628, Loss  0.859081, Average Loss  0.869040, Time  0.355385
2021-09-08 19:40:09.244232 : Epoch  2, Batch    629, Loss  0.883928, Average Loss  0.869088, Time  0.352407
2021-09-08 19:40:10.923752 : Epoch  2, Batch    630, Loss  0.881446, Average Loss  0.869186, Time  0.393957
2021-09-08 19:40:12.676721 : Epoch  2, Batch    631, Loss  0.891027, Average Loss  0.869334, Time  0.462351
2021-09-08 19:40:14.312299 : Epoch  2, Batch    632, Loss  0.854179, Average Loss  0.869272, Time  0.354293
2021-09-08 19:40:15.964493 : Epoch  2, Batch    633, Loss  0.865495, Average Loss  0.869256, Time  0.354184
2021-09-08 19:40:17.678630 : Epoch  2, Batch    634, Loss  0.868723, Average Loss  0.869334, Time  0.396606
2021-09-08 19:40:19.441536 : Epoch  2, Batch    635, Loss  0.879932, Average Loss  0.869318, Time  0.460688
2021-09-08 19:40:21.095654 : Epoch  2, Batch    636, Loss  0.844597, Average Loss  0.869221, Time  0.353500
2021-09-08 19:40:22.754070 : Epoch  2, Batch    637, Loss  0.868934, Average Loss  0.869261, Time  0.354736
2021-09-08 19:40:24.440076 : Epoch  2, Batch    638, Loss  0.827404, Average Loss  0.869059, Time  0.394629
2021-09-08 19:40:26.199628 : Epoch  2, Batch    639, Loss  0.869300, Average Loss  0.869184, Time  0.461937
2021-09-08 19:40:27.836993 : Epoch  2, Batch    640, Loss  0.878085, Average Loss  0.869235, Time  0.353856
2021-09-08 19:40:29.477070 : Epoch  2, Batch    641, Loss  0.863809, Average Loss  0.869026, Time  0.352542
2021-09-08 19:40:31.158213 : Epoch  2, Batch    642, Loss  0.884458, Average Loss  0.869064, Time  0.403376
2021-09-08 19:40:32.923676 : Epoch  2, Batch    643, Loss  0.859441, Average Loss  0.869025, Time  0.462222
2021-09-08 19:40:34.576254 : Epoch  2, Batch    644, Loss  0.892205, Average Loss  0.869119, Time  0.354410
2021-09-08 19:40:36.237551 : Epoch  2, Batch    645, Loss  0.870517, Average Loss  0.869120, Time  0.353103
2021-09-08 19:40:37.947007 : Epoch  2, Batch    646, Loss  0.856809, Average Loss  0.869076, Time  0.402929
2021-09-08 19:40:39.712666 : Epoch  2, Batch    647, Loss  0.883942, Average Loss  0.869090, Time  0.460792
2021-09-08 19:40:41.368580 : Epoch  2, Batch    648, Loss  0.867524, Average Loss  0.869181, Time  0.354797
2021-09-08 19:40:43.020729 : Epoch  2, Batch    649, Loss  0.865835, Average Loss  0.869146, Time  0.353636
2021-09-08 19:40:44.700996 : Epoch  2, Batch    650, Loss  0.895408, Average Loss  0.869469, Time  0.399275
2021-09-08 19:40:46.460053 : Epoch  2, Batch    651, Loss  0.884009, Average Loss  0.869647, Time  0.461796
2021-09-08 19:40:48.091730 : Epoch  2, Batch    652, Loss  0.835313, Average Loss  0.869429, Time  0.351434
2021-09-08 19:40:49.738305 : Epoch  2, Batch    653, Loss  0.882940, Average Loss  0.869423, Time  0.353582
2021-09-08 19:40:51.447368 : Epoch  2, Batch    654, Loss  0.855864, Average Loss  0.869364, Time  0.402104
2021-09-08 19:40:53.218738 : Epoch  2, Batch    655, Loss  0.863147, Average Loss  0.869404, Time  0.461669
2021-09-08 19:40:54.856693 : Epoch  2, Batch    656, Loss  0.820847, Average Loss  0.869141, Time  0.354297
2021-09-08 19:40:56.488486 : Epoch  2, Batch    657, Loss  0.866814, Average Loss  0.869096, Time  0.354035
2021-09-08 19:40:58.172215 : Epoch  2, Batch    658, Loss  0.868858, Average Loss  0.869285, Time  0.401352
2021-09-08 19:40:59.927447 : Epoch  2, Batch    659, Loss  0.861143, Average Loss  0.869209, Time  0.462316
2021-09-08 19:41:01.588166 : Epoch  2, Batch    660, Loss  0.855350, Average Loss  0.869137, Time  0.356557
2021-09-08 19:41:03.254131 : Epoch  2, Batch    661, Loss  0.866818, Average Loss  0.869203, Time  0.355175
2021-09-08 19:41:04.961066 : Epoch  2, Batch    662, Loss  0.877485, Average Loss  0.869223, Time  0.395007
2021-09-08 19:41:06.732723 : Epoch  2, Batch    663, Loss  0.873195, Average Loss  0.869269, Time  0.461023
2021-09-08 19:41:08.388882 : Epoch  2, Batch    664, Loss  0.883993, Average Loss  0.869302, Time  0.353898
2021-09-08 19:41:10.039384 : Epoch  2, Batch    665, Loss  0.856419, Average Loss  0.869215, Time  0.353061
2021-09-08 19:41:11.730432 : Epoch  2, Batch    666, Loss  0.890801, Average Loss  0.869427, Time  0.402888
2021-09-08 19:41:13.472100 : Epoch  2, Batch    667, Loss  0.854065, Average Loss  0.869337, Time  0.462598
2021-09-08 19:41:15.114028 : Epoch  2, Batch    668, Loss  0.870635, Average Loss  0.869340, Time  0.353580
2021-09-08 19:41:16.751131 : Epoch  2, Batch    669, Loss  0.872617, Average Loss  0.869458, Time  0.353142
2021-09-08 19:41:18.455106 : Epoch  2, Batch    670, Loss  0.829010, Average Loss  0.869214, Time  0.409617
2021-09-08 19:41:20.214185 : Epoch  2, Batch    671, Loss  0.894127, Average Loss  0.869316, Time  0.462581
2021-09-08 19:41:21.864745 : Epoch  2, Batch    672, Loss  0.898650, Average Loss  0.869483, Time  0.354691
2021-09-08 19:41:23.522083 : Epoch  2, Batch    673, Loss  0.866883, Average Loss  0.869599, Time  0.352866
2021-09-08 19:41:25.226632 : Epoch  2, Batch    674, Loss  0.872074, Average Loss  0.869619, Time  0.409594
2021-09-08 19:41:26.988926 : Epoch  2, Batch    675, Loss  0.891011, Average Loss  0.869675, Time  0.461457
2021-09-08 19:41:28.644071 : Epoch  2, Batch    676, Loss  0.844869, Average Loss  0.869590, Time  0.355000
2021-09-08 19:41:30.302291 : Epoch  2, Batch    677, Loss  0.860715, Average Loss  0.869655, Time  0.355482
2021-09-08 19:41:32.011882 : Epoch  2, Batch    678, Loss  0.865023, Average Loss  0.869688, Time  0.406909
2021-09-08 19:41:33.773513 : Epoch  2, Batch    679, Loss  0.880908, Average Loss  0.869770, Time  0.460611
2021-09-08 19:41:35.429512 : Epoch  2, Batch    680, Loss  0.880369, Average Loss  0.869838, Time  0.353630
2021-09-08 19:41:37.073852 : Epoch  2, Batch    681, Loss  0.855256, Average Loss  0.869692, Time  0.354034
2021-09-08 19:41:38.763980 : Epoch  2, Batch    682, Loss  0.860770, Average Loss  0.869792, Time  0.407890
2021-09-08 19:41:40.509377 : Epoch  2, Batch    683, Loss  0.853803, Average Loss  0.869582, Time  0.464918
2021-09-08 19:41:42.156693 : Epoch  2, Batch    684, Loss  0.848780, Average Loss  0.869378, Time  0.353820
2021-09-08 19:41:43.795170 : Epoch  2, Batch    685, Loss  0.890469, Average Loss  0.869498, Time  0.353227
2021-09-08 19:41:45.472299 : Epoch  2, Batch    686, Loss  0.856670, Average Loss  0.869429, Time  0.399469
2021-09-08 19:41:47.219405 : Epoch  2, Batch    687, Loss  0.873100, Average Loss  0.869506, Time  0.461698
2021-09-08 19:41:48.848506 : Epoch  2, Batch    688, Loss  0.861982, Average Loss  0.869424, Time  0.352414
2021-09-08 19:41:50.475389 : Epoch  2, Batch    689, Loss  0.866651, Average Loss  0.869340, Time  0.351752
2021-09-08 19:46:17.234117 : CheckPoint: Validation Loss  0.00060186, Best Loss  0.00058177
2021-09-08 19:46:18.878832 : Epoch  2, Batch    690, Loss  0.869928, Average Loss  0.869352, Time  0.370510
2021-09-08 19:46:20.516008 : Epoch  2, Batch    691, Loss  0.885880, Average Loss  0.869217, Time  0.352737
2021-09-08 19:46:22.153411 : Epoch  2, Batch    692, Loss  0.886415, Average Loss  0.869278, Time  0.354160
2021-09-08 19:46:23.904003 : Epoch  2, Batch    693, Loss  0.866939, Average Loss  0.869263, Time  0.462425
2021-09-08 19:46:25.629739 : Epoch  2, Batch    694, Loss  0.878169, Average Loss  0.869273, Time  0.422287
2021-09-08 19:46:27.279240 : Epoch  2, Batch    695, Loss  0.886002, Average Loss  0.869298, Time  0.353739
2021-09-08 19:46:28.912264 : Epoch  2, Batch    696, Loss  0.853575, Average Loss  0.869222, Time  0.352813
2021-09-08 19:46:30.656042 : Epoch  2, Batch    697, Loss  0.857287, Average Loss  0.869085, Time  0.452900
2021-09-08 19:46:32.408502 : Epoch  2, Batch    698, Loss  0.874464, Average Loss  0.869075, Time  0.459189
2021-09-08 19:46:34.060516 : Epoch  2, Batch    699, Loss  0.882846, Average Loss  0.869111, Time  0.353873
2021-09-08 19:46:35.714091 : Epoch  2, Batch    700, Loss  0.830556, Average Loss  0.869001, Time  0.352327
2021-09-08 19:46:37.427417 : Epoch  2, Batch    701, Loss  0.884441, Average Loss  0.869015, Time  0.411153
2021-09-08 19:46:39.193188 : Epoch  2, Batch    702, Loss  0.870955, Average Loss  0.869082, Time  0.461663
2021-09-08 19:46:40.846297 : Epoch  2, Batch    703, Loss  0.887067, Average Loss  0.868991, Time  0.354971
2021-09-08 19:46:42.508883 : Epoch  2, Batch    704, Loss  0.865424, Average Loss  0.869143, Time  0.354942
2021-09-08 19:46:44.209410 : Epoch  2, Batch    705, Loss  0.886865, Average Loss  0.869136, Time  0.400468
2021-09-08 19:46:45.980786 : Epoch  2, Batch    706, Loss  0.864654, Average Loss  0.869107, Time  0.462923
2021-09-08 19:46:47.634262 : Epoch  2, Batch    707, Loss  0.829804, Average Loss  0.868992, Time  0.352982
2021-09-08 19:46:49.270399 : Epoch  2, Batch    708, Loss  0.858325, Average Loss  0.868858, Time  0.353645
2021-09-08 19:46:50.954652 : Epoch  2, Batch    709, Loss  0.873406, Average Loss  0.868933, Time  0.399652
2021-09-08 19:46:52.698682 : Epoch  2, Batch    710, Loss  0.861572, Average Loss  0.869012, Time  0.462732
2021-09-08 19:46:54.347630 : Epoch  2, Batch    711, Loss  0.844660, Average Loss  0.868746, Time  0.352865
2021-09-08 19:46:56.005721 : Epoch  2, Batch    712, Loss  0.851305, Average Loss  0.868722, Time  0.355302
2021-09-08 19:46:57.702000 : Epoch  2, Batch    713, Loss  0.850686, Average Loss  0.868748, Time  0.396907
2021-09-08 19:46:59.457814 : Epoch  2, Batch    714, Loss  0.870769, Average Loss  0.868785, Time  0.462772
2021-09-08 19:47:01.096344 : Epoch  2, Batch    715, Loss  0.832906, Average Loss  0.868561, Time  0.354304
2021-09-08 19:47:02.729737 : Epoch  2, Batch    716, Loss  0.846504, Average Loss  0.868400, Time  0.352705
2021-09-08 19:47:04.409523 : Epoch  2, Batch    717, Loss  0.844837, Average Loss  0.868361, Time  0.397324
2021-09-08 19:47:06.160360 : Epoch  2, Batch    718, Loss  0.857310, Average Loss  0.868332, Time  0.461908
2021-09-08 19:47:07.797680 : Epoch  2, Batch    719, Loss  0.860205, Average Loss  0.868242, Time  0.351440
2021-09-08 19:47:09.433998 : Epoch  2, Batch    720, Loss  0.873637, Average Loss  0.868292, Time  0.352697
2021-09-08 19:47:11.134933 : Epoch  2, Batch    721, Loss  0.859489, Average Loss  0.868306, Time  0.391848
2021-09-08 19:47:12.898679 : Epoch  2, Batch    722, Loss  0.865105, Average Loss  0.868306, Time  0.461193
2021-09-08 19:47:14.560805 : Epoch  2, Batch    723, Loss  0.909928, Average Loss  0.868403, Time  0.354021
2021-09-08 19:47:16.213488 : Epoch  2, Batch    724, Loss  0.874103, Average Loss  0.868492, Time  0.353837
2021-09-08 19:47:17.893209 : Epoch  2, Batch    725, Loss  0.856175, Average Loss  0.868374, Time  0.393629
2021-09-08 19:47:19.648271 : Epoch  2, Batch    726, Loss  0.879161, Average Loss  0.868525, Time  0.464217
2021-09-08 19:47:21.295862 : Epoch  2, Batch    727, Loss  0.875053, Average Loss  0.868488, Time  0.353948
2021-09-08 19:47:22.949110 : Epoch  2, Batch    728, Loss  0.872484, Average Loss  0.868523, Time  0.354921
2021-09-08 19:47:24.641301 : Epoch  2, Batch    729, Loss  0.876799, Average Loss  0.868649, Time  0.384005
2021-09-08 19:47:26.409457 : Epoch  2, Batch    730, Loss  0.869764, Average Loss  0.868758, Time  0.461376
2021-09-08 19:47:28.069731 : Epoch  2, Batch    731, Loss  0.842829, Average Loss  0.868749, Time  0.354318
2021-09-08 19:47:29.723405 : Epoch  2, Batch    732, Loss  0.889903, Average Loss  0.868812, Time  0.351329
2021-09-08 19:47:31.409473 : Epoch  2, Batch    733, Loss  0.882115, Average Loss  0.868876, Time  0.392638
2021-09-08 19:47:33.173211 : Epoch  2, Batch    734, Loss  0.883544, Average Loss  0.868839, Time  0.461440
2021-09-08 19:47:34.830043 : Epoch  2, Batch    735, Loss  0.885588, Average Loss  0.868853, Time  0.353351
2021-09-08 19:47:36.469988 : Epoch  2, Batch    736, Loss  0.889055, Average Loss  0.869027, Time  0.352384
2021-09-08 19:47:38.156751 : Epoch  2, Batch    737, Loss  0.868505, Average Loss  0.869003, Time  0.397478
2021-09-08 19:47:39.910978 : Epoch  2, Batch    738, Loss  0.876998, Average Loss  0.869002, Time  0.463907
2021-09-08 19:47:41.550288 : Epoch  2, Batch    739, Loss  0.883190, Average Loss  0.869240, Time  0.353313
2021-09-08 19:47:43.193944 : Epoch  2, Batch    740, Loss  0.879285, Average Loss  0.869383, Time  0.352490
2021-09-08 19:47:44.898796 : Epoch  2, Batch    741, Loss  0.886140, Average Loss  0.869471, Time  0.392573
2021-09-08 19:47:46.665666 : Epoch  2, Batch    742, Loss  0.862227, Average Loss  0.869574, Time  0.462591
2021-09-08 19:47:48.332304 : Epoch  2, Batch    743, Loss  0.872615, Average Loss  0.869487, Time  0.354730
2021-09-08 19:47:49.993796 : Epoch  2, Batch    744, Loss  0.870018, Average Loss  0.869479, Time  0.353920
2021-09-08 19:47:51.686464 : Epoch  2, Batch    745, Loss  0.856681, Average Loss  0.869497, Time  0.384979
2021-09-08 19:47:53.446087 : Epoch  2, Batch    746, Loss  0.841337, Average Loss  0.869456, Time  0.459599
2021-09-08 19:47:55.106753 : Epoch  2, Batch    747, Loss  0.825554, Average Loss  0.869197, Time  0.354658
2021-09-08 19:47:56.765415 : Epoch  2, Batch    748, Loss  0.867705, Average Loss  0.869161, Time  0.354788
2021-09-08 19:47:58.463210 : Epoch  2, Batch    749, Loss  0.855444, Average Loss  0.869120, Time  0.396961
2021-09-08 19:48:00.228801 : Epoch  2, Batch    750, Loss  0.871408, Average Loss  0.869089, Time  0.461040
2021-09-08 19:48:01.893502 : Epoch  2, Batch    751, Loss  0.873811, Average Loss  0.869178, Time  0.354152
2021-09-08 19:48:03.548262 : Epoch  2, Batch    752, Loss  0.890605, Average Loss  0.869321, Time  0.353191
2021-09-08 19:48:05.228522 : Epoch  2, Batch    753, Loss  0.851457, Average Loss  0.869283, Time  0.393133
2021-09-08 19:48:06.987715 : Epoch  2, Batch    754, Loss  0.864011, Average Loss  0.869249, Time  0.462345
2021-09-08 19:48:08.643064 : Epoch  2, Batch    755, Loss  0.895485, Average Loss  0.869407, Time  0.353878
2021-09-08 19:48:10.285791 : Epoch  2, Batch    756, Loss  0.850191, Average Loss  0.869271, Time  0.353493
2021-09-08 19:48:11.963696 : Epoch  2, Batch    757, Loss  0.889625, Average Loss  0.869385, Time  0.395464
2021-09-08 19:48:13.714829 : Epoch  2, Batch    758, Loss  0.875171, Average Loss  0.869478, Time  0.462382
2021-09-08 19:48:15.352874 : Epoch  2, Batch    759, Loss  0.868146, Average Loss  0.869473, Time  0.353701
2021-09-08 19:48:16.993347 : Epoch  2, Batch    760, Loss  0.879461, Average Loss  0.869536, Time  0.352133
2021-09-08 19:48:18.669779 : Epoch  2, Batch    761, Loss  0.879787, Average Loss  0.869387, Time  0.390899
2021-09-08 19:48:20.416348 : Epoch  2, Batch    762, Loss  0.876752, Average Loss  0.869440, Time  0.460510
2021-09-08 19:48:22.053970 : Epoch  2, Batch    763, Loss  0.863508, Average Loss  0.869401, Time  0.354229
2021-09-08 19:48:23.696475 : Epoch  2, Batch    764, Loss  0.888427, Average Loss  0.869400, Time  0.352664
2021-09-08 19:48:25.378364 : Epoch  2, Batch    765, Loss  0.837894, Average Loss  0.869396, Time  0.396850
2021-09-08 19:48:27.143107 : Epoch  2, Batch    766, Loss  0.858862, Average Loss  0.869341, Time  0.460784
2021-09-08 19:48:28.803803 : Epoch  2, Batch    767, Loss  0.873785, Average Loss  0.869321, Time  0.354928
2021-09-08 19:48:30.461528 : Epoch  2, Batch    768, Loss  0.881230, Average Loss  0.869252, Time  0.353393
2021-09-08 19:48:32.156901 : Epoch  2, Batch    769, Loss  0.843946, Average Loss  0.868979, Time  0.393831
2021-09-08 19:48:33.921197 : Epoch  2, Batch    770, Loss  0.873978, Average Loss  0.868961, Time  0.461997
2021-09-08 19:48:35.558949 : Epoch  2, Batch    771, Loss  0.899710, Average Loss  0.869176, Time  0.352278
2021-09-08 19:48:37.189356 : Epoch  2, Batch    772, Loss  0.864316, Average Loss  0.869149, Time  0.353493
2021-09-08 19:48:38.886994 : Epoch  2, Batch    773, Loss  0.839617, Average Loss  0.869055, Time  0.400253
2021-09-08 19:48:40.646117 : Epoch  2, Batch    774, Loss  0.860871, Average Loss  0.869086, Time  0.461730
2021-09-08 19:48:42.295250 : Epoch  2, Batch    775, Loss  0.841107, Average Loss  0.868865, Time  0.352944
2021-09-08 19:48:43.941725 : Epoch  2, Batch    776, Loss  0.870105, Average Loss  0.868999, Time  0.352378
2021-09-08 19:48:45.624238 : Epoch  2, Batch    777, Loss  0.880967, Average Loss  0.869052, Time  0.391549
2021-09-08 19:48:47.381176 : Epoch  2, Batch    778, Loss  0.871237, Average Loss  0.868910, Time  0.461440
2021-09-08 19:48:49.021153 : Epoch  2, Batch    779, Loss  0.882647, Average Loss  0.868942, Time  0.352524
2021-09-08 19:48:50.673716 : Epoch  2, Batch    780, Loss  0.864157, Average Loss  0.868914, Time  0.350852
2021-09-08 19:48:52.352928 : Epoch  2, Batch    781, Loss  0.851717, Average Loss  0.868951, Time  0.389241
2021-09-08 19:48:54.092185 : Epoch  2, Batch    782, Loss  0.840420, Average Loss  0.868824, Time  0.461279
2021-09-08 19:48:55.737369 : Epoch  2, Batch    783, Loss  0.875030, Average Loss  0.868818, Time  0.354779
2021-09-08 19:48:57.371747 : Epoch  2, Batch    784, Loss  0.864521, Average Loss  0.868672, Time  0.352343
2021-09-08 19:48:59.062738 : Epoch  2, Batch    785, Loss  0.899666, Average Loss  0.868858, Time  0.404628
2021-09-08 19:49:00.820515 : Epoch  2, Batch    786, Loss  0.915713, Average Loss  0.869130, Time  0.463603
2021-09-08 19:49:02.453955 : Epoch  2, Batch    787, Loss  0.856548, Average Loss  0.869036, Time  0.352287
2021-09-08 19:49:04.095466 : Epoch  2, Batch    788, Loss  0.856819, Average Loss  0.868942, Time  0.352749
2021-09-08 19:49:05.775669 : Epoch  2, Batch    789, Loss  0.851460, Average Loss  0.868831, Time  0.393062
2021-09-08 19:53:33.475491 : CheckPoint: Validation Loss  0.00060327, Best Loss  0.00058177
2021-09-08 19:53:35.199494 : Epoch  2, Batch    790, Loss  0.858066, Average Loss  0.868787, Time  0.436284
2021-09-08 19:53:36.962799 : Epoch  2, Batch    791, Loss  0.874732, Average Loss  0.868841, Time  0.460843
2021-09-08 19:53:38.621741 : Epoch  2, Batch    792, Loss  0.864316, Average Loss  0.868860, Time  0.353331
2021-09-08 19:53:40.259852 : Epoch  2, Batch    793, Loss  0.849266, Average Loss  0.868857, Time  0.352116
2021-09-08 19:53:41.949465 : Epoch  2, Batch    794, Loss  0.879747, Average Loss  0.868894, Time  0.396235
2021-09-08 19:53:43.719040 : Epoch  2, Batch    795, Loss  0.842365, Average Loss  0.868679, Time  0.460630
2021-09-08 19:53:45.357314 : Epoch  2, Batch    796, Loss  0.898343, Average Loss  0.868707, Time  0.352424
2021-09-08 19:53:47.000233 : Epoch  2, Batch    797, Loss  0.863587, Average Loss  0.868558, Time  0.354255
2021-09-08 19:53:48.682571 : Epoch  2, Batch    798, Loss  0.866078, Average Loss  0.868427, Time  0.395056
2021-09-08 19:53:50.450470 : Epoch  2, Batch    799, Loss  0.893846, Average Loss  0.868611, Time  0.462687
2021-09-08 19:53:52.106940 : Epoch  2, Batch    800, Loss  0.856831, Average Loss  0.868669, Time  0.354210
2021-09-08 19:53:53.751662 : Epoch  2, Batch    801, Loss  0.855278, Average Loss  0.868574, Time  0.353374
2021-09-08 19:53:55.433040 : Epoch  2, Batch    802, Loss  0.842485, Average Loss  0.868360, Time  0.392652
2021-09-08 19:53:57.181209 : Epoch  2, Batch    803, Loss  0.908923, Average Loss  0.868593, Time  0.462975
2021-09-08 19:53:58.826044 : Epoch  2, Batch    804, Loss  0.890973, Average Loss  0.868524, Time  0.356324
2021-09-08 19:54:00.456446 : Epoch  2, Batch    805, Loss  0.866352, Average Loss  0.868595, Time  0.351475
2021-09-08 19:54:02.137935 : Epoch  2, Batch    806, Loss  0.881086, Average Loss  0.868659, Time  0.395320
2021-09-08 19:54:03.897974 : Epoch  2, Batch    807, Loss  0.864866, Average Loss  0.868667, Time  0.462149
2021-09-08 19:54:05.538973 : Epoch  2, Batch    808, Loss  0.879747, Average Loss  0.868707, Time  0.353133
2021-09-08 19:54:07.182787 : Epoch  2, Batch    809, Loss  0.872347, Average Loss  0.868839, Time  0.353578
2021-09-08 19:54:08.859905 : Epoch  2, Batch    810, Loss  0.869015, Average Loss  0.868732, Time  0.393802
2021-09-08 19:54:10.612919 : Epoch  2, Batch    811, Loss  0.853778, Average Loss  0.868683, Time  0.462607
2021-09-08 19:54:12.257165 : Epoch  2, Batch    812, Loss  0.868332, Average Loss  0.868706, Time  0.353964
2021-09-08 19:54:13.906931 : Epoch  2, Batch    813, Loss  0.889972, Average Loss  0.868971, Time  0.354064
2021-09-08 19:54:15.576381 : Epoch  2, Batch    814, Loss  0.857534, Average Loss  0.868917, Time  0.381072
2021-09-08 19:54:17.335649 : Epoch  2, Batch    815, Loss  0.855296, Average Loss  0.868843, Time  0.458874
2021-09-08 19:54:18.991863 : Epoch  2, Batch    816, Loss  0.885412, Average Loss  0.868819, Time  0.351602
2021-09-08 19:54:20.629096 : Epoch  2, Batch    817, Loss  0.871431, Average Loss  0.868778, Time  0.351762
2021-09-08 19:54:22.307192 : Epoch  2, Batch    818, Loss  0.867922, Average Loss  0.868788, Time  0.391432
2021-09-08 19:54:24.058438 : Epoch  2, Batch    819, Loss  0.870485, Average Loss  0.868896, Time  0.462423
2021-09-08 19:54:25.721550 : Epoch  2, Batch    820, Loss  0.903474, Average Loss  0.869139, Time  0.353756
2021-09-08 19:54:27.373154 : Epoch  2, Batch    821, Loss  0.853609, Average Loss  0.869056, Time  0.352441
2021-09-08 19:54:29.044156 : Epoch  2, Batch    822, Loss  0.854898, Average Loss  0.868891, Time  0.386061
2021-09-08 19:54:30.810755 : Epoch  2, Batch    823, Loss  0.871510, Average Loss  0.868739, Time  0.464371
2021-09-08 19:54:32.448560 : Epoch  2, Batch    824, Loss  0.862113, Average Loss  0.868541, Time  0.352426
2021-09-08 19:54:34.092260 : Epoch  2, Batch    825, Loss  0.883417, Average Loss  0.868581, Time  0.352308
2021-09-08 19:54:35.764791 : Epoch  2, Batch    826, Loss  0.860700, Average Loss  0.868496, Time  0.388777
2021-09-08 19:54:37.529803 : Epoch  2, Batch    827, Loss  0.873099, Average Loss  0.868415, Time  0.460557
2021-09-08 19:54:39.188478 : Epoch  2, Batch    828, Loss  0.870981, Average Loss  0.868475, Time  0.354220
2021-09-08 19:54:40.822893 : Epoch  2, Batch    829, Loss  0.870063, Average Loss  0.868406, Time  0.350688
2021-09-08 19:54:42.514773 : Epoch  2, Batch    830, Loss  0.887167, Average Loss  0.868434, Time  0.394339
2021-09-08 19:54:44.282960 : Epoch  2, Batch    831, Loss  0.875056, Average Loss  0.868354, Time  0.461708
2021-09-08 19:54:45.921809 : Epoch  2, Batch    832, Loss  0.866740, Average Loss  0.868417, Time  0.353811
2021-09-08 19:54:47.580367 : Epoch  2, Batch    833, Loss  0.872721, Average Loss  0.868453, Time  0.354274
2021-09-08 19:54:49.269225 : Epoch  2, Batch    834, Loss  0.900434, Average Loss  0.868612, Time  0.388932
2021-09-08 19:54:51.040664 : Epoch  2, Batch    835, Loss  0.882686, Average Loss  0.868626, Time  0.462943
2021-09-08 19:54:52.688041 : Epoch  2, Batch    836, Loss  0.865233, Average Loss  0.868729, Time  0.352931
2021-09-08 19:54:54.325897 : Epoch  2, Batch    837, Loss  0.857197, Average Loss  0.868670, Time  0.354381
2021-09-08 19:54:55.996078 : Epoch  2, Batch    838, Loss  0.876772, Average Loss  0.868917, Time  0.383362
2021-09-08 19:54:57.752441 : Epoch  2, Batch    839, Loss  0.866329, Average Loss  0.868902, Time  0.463030
2021-09-08 19:54:59.415269 : Epoch  2, Batch    840, Loss  0.837022, Average Loss  0.868697, Time  0.355936
2021-09-08 19:55:01.051725 : Epoch  2, Batch    841, Loss  0.885798, Average Loss  0.868807, Time  0.352633
2021-09-08 19:55:02.736005 : Epoch  2, Batch    842, Loss  0.861689, Average Loss  0.868693, Time  0.396456
2021-09-08 19:55:04.498962 : Epoch  2, Batch    843, Loss  0.855527, Average Loss  0.868673, Time  0.461774
2021-09-08 19:55:06.158468 : Epoch  2, Batch    844, Loss  0.851610, Average Loss  0.868470, Time  0.353190
2021-09-08 19:55:07.815082 : Epoch  2, Batch    845, Loss  0.863787, Average Loss  0.868437, Time  0.354578
2021-09-08 19:55:09.517136 : Epoch  2, Batch    846, Loss  0.877701, Average Loss  0.868541, Time  0.398618
2021-09-08 19:55:11.286563 : Epoch  2, Batch    847, Loss  0.885760, Average Loss  0.868550, Time  0.462426
2021-09-08 19:55:12.940936 : Epoch  2, Batch    848, Loss  0.845571, Average Loss  0.868441, Time  0.353576
2021-09-08 19:55:14.587210 : Epoch  2, Batch    849, Loss  0.852947, Average Loss  0.868376, Time  0.353773
2021-09-08 19:55:16.271783 : Epoch  2, Batch    850, Loss  0.844964, Average Loss  0.868124, Time  0.395455
2021-09-08 19:55:18.034339 : Epoch  2, Batch    851, Loss  0.857205, Average Loss  0.867990, Time  0.460237
2021-09-08 19:55:19.699257 : Epoch  2, Batch    852, Loss  0.891378, Average Loss  0.868270, Time  0.353131
2021-09-08 19:55:21.334791 : Epoch  2, Batch    853, Loss  0.859124, Average Loss  0.868151, Time  0.353602
2021-09-08 19:55:23.019963 : Epoch  2, Batch    854, Loss  0.869534, Average Loss  0.868219, Time  0.398491
2021-09-08 19:55:24.775595 : Epoch  2, Batch    855, Loss  0.885329, Average Loss  0.868330, Time  0.461820
2021-09-08 19:55:26.429577 : Epoch  2, Batch    856, Loss  0.906980, Average Loss  0.868761, Time  0.353606
2021-09-08 19:55:28.071433 : Epoch  2, Batch    857, Loss  0.869236, Average Loss  0.868773, Time  0.355201
2021-09-08 19:55:29.756813 : Epoch  2, Batch    858, Loss  0.879083, Average Loss  0.868824, Time  0.401470
2021-09-08 19:55:31.496729 : Epoch  2, Batch    859, Loss  0.875114, Average Loss  0.868894, Time  0.460970
2021-09-08 19:55:33.147974 : Epoch  2, Batch    860, Loss  0.839613, Average Loss  0.868815, Time  0.353092
2021-09-08 19:55:34.796319 : Epoch  2, Batch    861, Loss  0.859566, Average Loss  0.868779, Time  0.353223
2021-09-08 19:55:36.482105 : Epoch  2, Batch    862, Loss  0.882633, Average Loss  0.868805, Time  0.396814
2021-09-08 19:55:38.227457 : Epoch  2, Batch    863, Loss  0.874028, Average Loss  0.868809, Time  0.461573
2021-09-08 19:55:39.869827 : Epoch  2, Batch    864, Loss  0.867047, Average Loss  0.868724, Time  0.352903
2021-09-08 19:55:41.508707 : Epoch  2, Batch    865, Loss  0.872057, Average Loss  0.868803, Time  0.352629
2021-09-08 19:55:43.200222 : Epoch  2, Batch    866, Loss  0.889249, Average Loss  0.868795, Time  0.390134
2021-09-08 19:55:44.963259 : Epoch  2, Batch    867, Loss  0.863371, Average Loss  0.868841, Time  0.460649
2021-09-08 19:55:46.623410 : Epoch  2, Batch    868, Loss  0.837954, Average Loss  0.868678, Time  0.354133
2021-09-08 19:55:48.279392 : Epoch  2, Batch    869, Loss  0.845885, Average Loss  0.868544, Time  0.352741
2021-09-08 19:55:49.976359 : Epoch  2, Batch    870, Loss  0.877872, Average Loss  0.868789, Time  0.397162
2021-09-08 19:55:51.723729 : Epoch  2, Batch    871, Loss  0.894293, Average Loss  0.868789, Time  0.464914
2021-09-08 19:55:53.371258 : Epoch  2, Batch    872, Loss  0.881891, Average Loss  0.868706, Time  0.352092
2021-09-08 19:55:55.032016 : Epoch  2, Batch    873, Loss  0.857832, Average Loss  0.868660, Time  0.355224
2021-09-08 19:55:56.726913 : Epoch  2, Batch    874, Loss  0.888258, Average Loss  0.868741, Time  0.387097
2021-09-08 19:55:58.496470 : Epoch  2, Batch    875, Loss  0.871997, Average Loss  0.868646, Time  0.463039
2021-09-08 19:56:00.137233 : Epoch  2, Batch    876, Loss  0.871318, Average Loss  0.868778, Time  0.354269
2021-09-08 19:56:01.780085 : Epoch  2, Batch    877, Loss  0.872479, Average Loss  0.868837, Time  0.353113
2021-09-08 19:56:03.458027 : Epoch  2, Batch    878, Loss  0.891529, Average Loss  0.868970, Time  0.394170
2021-09-08 19:56:05.211793 : Epoch  2, Batch    879, Loss  0.874679, Average Loss  0.868939, Time  0.463292
2021-09-08 19:56:06.853336 : Epoch  2, Batch    880, Loss  0.878688, Average Loss  0.868930, Time  0.353427
2021-09-08 19:56:08.503825 : Epoch  2, Batch    881, Loss  0.851081, Average Loss  0.868909, Time  0.353864
2021-09-08 19:56:10.177547 : Epoch  2, Batch    882, Loss  0.846273, Average Loss  0.868837, Time  0.387429
2021-09-08 19:56:11.929685 : Epoch  2, Batch    883, Loss  0.892223, Average Loss  0.869029, Time  0.463678
2021-09-08 19:56:13.571862 : Epoch  2, Batch    884, Loss  0.872819, Average Loss  0.869149, Time  0.352337
2021-09-08 19:56:15.231279 : Epoch  2, Batch    885, Loss  0.846220, Average Loss  0.868928, Time  0.352138
2021-09-08 19:56:16.919923 : Epoch  2, Batch    886, Loss  0.866092, Average Loss  0.868975, Time  0.387668
2021-09-08 19:56:18.674645 : Epoch  2, Batch    887, Loss  0.887311, Average Loss  0.869046, Time  0.464256
2021-09-08 19:56:20.326717 : Epoch  2, Batch    888, Loss  0.868891, Average Loss  0.869081, Time  0.348121
2021-09-08 19:56:21.964566 : Epoch  2, Batch    889, Loss  0.883920, Average Loss  0.869167, Time  0.352129
2021-09-08 20:00:49.751846 : CheckPoint: Validation Loss  0.00060518, Best Loss  0.00058177
2021-09-08 20:00:51.392065 : Epoch  2, Batch    890, Loss  0.866399, Average Loss  0.869149, Time  0.354828
2021-09-08 20:00:53.033393 : Epoch  2, Batch    891, Loss  0.907910, Average Loss  0.869259, Time  0.353499
2021-09-08 20:00:54.776854 : Epoch  2, Batch    892, Loss  0.830622, Average Loss  0.868981, Time  0.460601
2021-09-08 20:00:56.532814 : Epoch  2, Batch    893, Loss  0.897832, Average Loss  0.869135, Time  0.459424
2021-09-08 20:00:58.169094 : Epoch  2, Batch    894, Loss  0.874379, Average Loss  0.869116, Time  0.353756
2021-09-08 20:00:59.802687 : Epoch  2, Batch    895, Loss  0.866284, Average Loss  0.869017, Time  0.352689
2021-09-08 20:01:01.497779 : Epoch  2, Batch    896, Loss  0.856035, Average Loss  0.869030, Time  0.414612
2021-09-08 20:01:03.260492 : Epoch  2, Batch    897, Loss  0.837169, Average Loss  0.868929, Time  0.462662
2021-09-08 20:01:04.919947 : Epoch  2, Batch    898, Loss  0.909472, Average Loss  0.869104, Time  0.355389
2021-09-08 20:01:06.584177 : Epoch  2, Batch    899, Loss  0.883091, Average Loss  0.869105, Time  0.352941
2021-09-08 20:01:08.283391 : Epoch  2, Batch    900, Loss  0.862762, Average Loss  0.869266, Time  0.398272
2021-09-08 20:01:10.045681 : Epoch  2, Batch    901, Loss  0.900835, Average Loss  0.869348, Time  0.462609
2021-09-08 20:01:11.742654 : Epoch  2, Batch    902, Loss  0.857511, Average Loss  0.869281, Time  0.358292
2021-09-08 20:01:13.421169 : Epoch  2, Batch    903, Loss  0.880176, Average Loss  0.869247, Time  0.354285
2021-09-08 20:01:15.121240 : Epoch  2, Batch    904, Loss  0.880233, Average Loss  0.869321, Time  0.415350
2021-09-08 20:01:16.864009 : Epoch  2, Batch    905, Loss  0.846968, Average Loss  0.869121, Time  0.461280
2021-09-08 20:01:18.502496 : Epoch  2, Batch    906, Loss  0.866423, Average Loss  0.869130, Time  0.353595
2021-09-08 20:01:20.138487 : Epoch  2, Batch    907, Loss  0.889006, Average Loss  0.869426, Time  0.354757
2021-09-08 20:01:21.826777 : Epoch  2, Batch    908, Loss  0.885741, Average Loss  0.869563, Time  0.403592
2021-09-08 20:01:23.585512 : Epoch  2, Batch    909, Loss  0.879399, Average Loss  0.869593, Time  0.458866
2021-09-08 20:01:25.242209 : Epoch  2, Batch    910, Loss  0.857039, Average Loss  0.869571, Time  0.353689
2021-09-08 20:01:26.896967 : Epoch  2, Batch    911, Loss  0.867014, Average Loss  0.869682, Time  0.354014
2021-09-08 20:01:28.593814 : Epoch  2, Batch    912, Loss  0.867442, Average Loss  0.869763, Time  0.396656
2021-09-08 20:01:30.342267 : Epoch  2, Batch    913, Loss  0.865960, Average Loss  0.869839, Time  0.462598
2021-09-08 20:01:31.985459 : Epoch  2, Batch    914, Loss  0.883158, Average Loss  0.869901, Time  0.352389
2021-09-08 20:01:33.631965 : Epoch  2, Batch    915, Loss  0.862950, Average Loss  0.870052, Time  0.353666
2021-09-08 20:01:35.330114 : Epoch  2, Batch    916, Loss  0.893939, Average Loss  0.870289, Time  0.399239
2021-09-08 20:01:37.088609 : Epoch  2, Batch    917, Loss  0.864109, Average Loss  0.870385, Time  0.458799
2021-09-08 20:01:38.747796 : Epoch  2, Batch    918, Loss  0.867481, Average Loss  0.870436, Time  0.353696
2021-09-08 20:01:40.405188 : Epoch  2, Batch    919, Loss  0.877979, Average Loss  0.870525, Time  0.353450
2021-09-08 20:01:42.102183 : Epoch  2, Batch    920, Loss  0.886249, Average Loss  0.870588, Time  0.399240
2021-09-08 20:01:43.850041 : Epoch  2, Batch    921, Loss  0.887827, Average Loss  0.870730, Time  0.461898
2021-09-08 20:01:45.491516 : Epoch  2, Batch    922, Loss  0.851861, Average Loss  0.870663, Time  0.352624
2021-09-08 20:01:47.133354 : Epoch  2, Batch    923, Loss  0.888638, Average Loss  0.870557, Time  0.354474
2021-09-08 20:01:48.821799 : Epoch  2, Batch    924, Loss  0.872345, Average Loss  0.870548, Time  0.393797
2021-09-08 20:01:50.578578 : Epoch  2, Batch    925, Loss  0.834565, Average Loss  0.870440, Time  0.462094
2021-09-08 20:01:52.219795 : Epoch  2, Batch    926, Loss  0.857122, Average Loss  0.870330, Time  0.355420
2021-09-08 20:01:53.875346 : Epoch  2, Batch    927, Loss  0.842631, Average Loss  0.870168, Time  0.354149
2021-09-08 20:01:55.591176 : Epoch  2, Batch    928, Loss  0.875093, Average Loss  0.870181, Time  0.390648
2021-09-08 20:01:57.339015 : Epoch  2, Batch    929, Loss  0.865550, Average Loss  0.870125, Time  0.462400
2021-09-08 20:01:58.983037 : Epoch  2, Batch    930, Loss  0.885138, Average Loss  0.870201, Time  0.353322
2021-09-08 20:02:00.622255 : Epoch  2, Batch    931, Loss  0.864319, Average Loss  0.870309, Time  0.354460
2021-09-08 20:02:02.321433 : Epoch  2, Batch    932, Loss  0.870656, Average Loss  0.870213, Time  0.394753
2021-09-08 20:02:04.084516 : Epoch  2, Batch    933, Loss  0.850256, Average Loss  0.870053, Time  0.460696
2021-09-08 20:02:05.738281 : Epoch  2, Batch    934, Loss  0.881400, Average Loss  0.870043, Time  0.353901
2021-09-08 20:02:07.368531 : Epoch  2, Batch    935, Loss  0.846187, Average Loss  0.869846, Time  0.352404
2021-09-08 20:02:09.047618 : Epoch  2, Batch    936, Loss  0.893145, Average Loss  0.869866, Time  0.399875
2021-09-08 20:02:10.791285 : Epoch  2, Batch    937, Loss  0.894410, Average Loss  0.869996, Time  0.462013
2021-09-08 20:02:12.455383 : Epoch  2, Batch    938, Loss  0.845663, Average Loss  0.869839, Time  0.353362
2021-09-08 20:02:14.108365 : Epoch  2, Batch    939, Loss  0.870854, Average Loss  0.869777, Time  0.353493
2021-09-08 20:02:15.804876 : Epoch  2, Batch    940, Loss  0.893055, Average Loss  0.869846, Time  0.394681
2021-09-08 20:02:17.556520 : Epoch  2, Batch    941, Loss  0.864534, Average Loss  0.869738, Time  0.460085
2021-09-08 20:02:19.193255 : Epoch  2, Batch    942, Loss  0.856646, Average Loss  0.869710, Time  0.353154
2021-09-08 20:02:20.825389 : Epoch  2, Batch    943, Loss  0.879538, Average Loss  0.869745, Time  0.352581
2021-09-08 20:02:22.505932 : Epoch  2, Batch    944, Loss  0.849830, Average Loss  0.869644, Time  0.400295
2021-09-08 20:02:24.245709 : Epoch  2, Batch    945, Loss  0.864994, Average Loss  0.869685, Time  0.459623
2021-09-08 20:02:25.899927 : Epoch  2, Batch    946, Loss  0.845730, Average Loss  0.869707, Time  0.354275
2021-09-08 20:02:27.554443 : Epoch  2, Batch    947, Loss  0.865327, Average Loss  0.869906, Time  0.352844
2021-09-08 20:02:29.237415 : Epoch  2, Batch    948, Loss  0.872405, Average Loss  0.869930, Time  0.396695
2021-09-08 20:02:30.981210 : Epoch  2, Batch    949, Loss  0.869531, Average Loss  0.870000, Time  0.459900
2021-09-08 20:02:32.613462 : Epoch  2, Batch    950, Loss  0.839050, Average Loss  0.869838, Time  0.353272
2021-09-08 20:02:34.251106 : Epoch  2, Batch    951, Loss  0.899003, Average Loss  0.869964, Time  0.353976
2021-09-08 20:02:35.930808 : Epoch  2, Batch    952, Loss  0.857997, Average Loss  0.869801, Time  0.394942
2021-09-08 20:02:37.676150 : Epoch  2, Batch    953, Loss  0.881387, Average Loss  0.869951, Time  0.461012
2021-09-08 20:02:39.324487 : Epoch  2, Batch    954, Loss  0.876143, Average Loss  0.870012, Time  0.351674
2021-09-08 20:02:40.982545 : Epoch  2, Batch    955, Loss  0.877864, Average Loss  0.869923, Time  0.353391
2021-09-08 20:02:42.675968 : Epoch  2, Batch    956, Loss  0.864523, Average Loss  0.869995, Time  0.396226
2021-09-08 20:02:44.434936 : Epoch  2, Batch    957, Loss  0.881396, Average Loss  0.869954, Time  0.460797
2021-09-08 20:02:46.068176 : Epoch  2, Batch    958, Loss  0.871086, Average Loss  0.869934, Time  0.352375
2021-09-08 20:02:47.707508 : Epoch  2, Batch    959, Loss  0.881181, Average Loss  0.869999, Time  0.353594
2021-09-08 20:02:49.394054 : Epoch  2, Batch    960, Loss  0.851576, Average Loss  0.869859, Time  0.395524
2021-09-08 20:02:51.161277 : Epoch  2, Batch    961, Loss  0.870005, Average Loss  0.869810, Time  0.461850
2021-09-08 20:02:52.814752 : Epoch  2, Batch    962, Loss  0.895446, Average Loss  0.869904, Time  0.353676
2021-09-08 20:02:54.467868 : Epoch  2, Batch    963, Loss  0.852958, Average Loss  0.869851, Time  0.353971
2021-09-08 20:02:56.167291 : Epoch  2, Batch    964, Loss  0.889051, Average Loss  0.869854, Time  0.396803
2021-09-08 20:02:57.929922 : Epoch  2, Batch    965, Loss  0.886350, Average Loss  0.870097, Time  0.462410
2021-09-08 20:02:59.588512 : Epoch  2, Batch    966, Loss  0.864521, Average Loss  0.870125, Time  0.355806
2021-09-08 20:03:01.245755 : Epoch  2, Batch    967, Loss  0.873948, Average Loss  0.870126, Time  0.353516
2021-09-08 20:03:02.935975 : Epoch  2, Batch    968, Loss  0.864582, Average Loss  0.870042, Time  0.400163
2021-09-08 20:03:04.680204 : Epoch  2, Batch    969, Loss  0.848976, Average Loss  0.870068, Time  0.463761
2021-09-08 20:03:06.323308 : Epoch  2, Batch    970, Loss  0.890090, Average Loss  0.870148, Time  0.353822
2021-09-08 20:03:07.960225 : Epoch  2, Batch    971, Loss  0.855886, Average Loss  0.869929, Time  0.353843
2021-09-08 20:03:09.645096 : Epoch  2, Batch    972, Loss  0.837312, Average Loss  0.869794, Time  0.402157
2021-09-08 20:03:11.392653 : Epoch  2, Batch    973, Loss  0.859593, Average Loss  0.869894, Time  0.462450
2021-09-08 20:03:13.032464 : Epoch  2, Batch    974, Loss  0.869749, Average Loss  0.869938, Time  0.354340
2021-09-08 20:03:14.683624 : Epoch  2, Batch    975, Loss  0.884683, Average Loss  0.870156, Time  0.354253
2021-09-08 20:03:16.384905 : Epoch  2, Batch    976, Loss  0.874741, Average Loss  0.870179, Time  0.398705
2021-09-08 20:03:18.141073 : Epoch  2, Batch    977, Loss  0.851965, Average Loss  0.870034, Time  0.460558
2021-09-08 20:03:19.776333 : Epoch  2, Batch    978, Loss  0.881457, Average Loss  0.870085, Time  0.351888
2021-09-08 20:03:21.419448 : Epoch  2, Batch    979, Loss  0.855502, Average Loss  0.869950, Time  0.352905
2021-09-08 20:03:23.103592 : Epoch  2, Batch    980, Loss  0.867808, Average Loss  0.869968, Time  0.398960
2021-09-08 20:03:24.845652 : Epoch  2, Batch    981, Loss  0.846303, Average Loss  0.869941, Time  0.459735
2021-09-08 20:03:26.489807 : Epoch  2, Batch    982, Loss  0.895441, Average Loss  0.870216, Time  0.353797
2021-09-08 20:03:28.129524 : Epoch  2, Batch    983, Loss  0.886121, Average Loss  0.870271, Time  0.353013
2021-09-08 20:03:29.819942 : Epoch  2, Batch    984, Loss  0.870980, Average Loss  0.870304, Time  0.397861
2021-09-08 20:03:31.567186 : Epoch  2, Batch    985, Loss  0.897738, Average Loss  0.870294, Time  0.463470
2021-09-08 20:03:33.222988 : Epoch  2, Batch    986, Loss  0.868054, Average Loss  0.870056, Time  0.354549
2021-09-08 20:03:34.882006 : Epoch  2, Batch    987, Loss  0.860004, Average Loss  0.870073, Time  0.354381
2021-09-08 20:03:36.577872 : Epoch  2, Batch    988, Loss  0.879023, Average Loss  0.870184, Time  0.398443
2021-09-08 20:03:38.326023 : Epoch  2, Batch    989, Loss  0.899604, Average Loss  0.870425, Time  0.458812
2021-09-08 20:08:05.534347 : CheckPoint: Validation Loss  0.00059677, Best Loss  0.00058177
2021-09-08 20:08:07.195473 : Epoch  2, Batch    990, Loss  0.891104, Average Loss  0.870590, Time  0.356510
2021-09-08 20:08:08.932197 : Epoch  2, Batch    991, Loss  0.905513, Average Loss  0.870744, Time  0.430596
2021-09-08 20:08:10.696290 : Epoch  2, Batch    992, Loss  0.925731, Average Loss  0.871051, Time  0.460295
2021-09-08 20:08:12.346465 : Epoch  2, Batch    993, Loss  0.853239, Average Loss  0.871071, Time  0.352378
2021-09-08 20:08:13.989079 : Epoch  2, Batch    994, Loss  0.883510, Average Loss  0.871090, Time  0.354465
2021-09-08 20:08:15.671390 : Epoch  2, Batch    995, Loss  0.886873, Average Loss  0.871312, Time  0.406020
2021-09-08 20:08:17.413135 : Epoch  2, Batch    996, Loss  0.874176, Average Loss  0.871191, Time  0.461866
2021-09-08 20:08:19.052855 : Epoch  2, Batch    997, Loss  0.851178, Average Loss  0.871129, Time  0.352836
2021-09-08 20:08:20.705786 : Epoch  2, Batch    998, Loss  0.869502, Average Loss  0.871146, Time  0.353950
2021-09-08 20:08:22.403558 : Epoch  2, Batch    999, Loss  0.883369, Average Loss  0.871094, Time  0.402513
2021-09-08 20:08:24.173775 : Epoch  2, Batch   1000, Loss  0.867175, Average Loss  0.871146, Time  0.459962
2021-09-08 20:08:25.823166 : Epoch  2, Batch   1001, Loss  0.878945, Average Loss  0.871264, Time  0.353832
2021-09-08 20:08:27.451937 : Epoch  2, Batch   1002, Loss  0.836607, Average Loss  0.871235, Time  0.354425
2021-09-08 20:08:29.155842 : Epoch  2, Batch   1003, Loss  0.867023, Average Loss  0.871025, Time  0.409475
2021-09-08 20:08:30.918544 : Epoch  2, Batch   1004, Loss  0.866017, Average Loss  0.870900, Time  0.459054
2021-09-08 20:08:32.569555 : Epoch  2, Batch   1005, Loss  0.883824, Average Loss  0.870988, Time  0.352871
2021-09-08 20:08:34.224267 : Epoch  2, Batch   1006, Loss  0.894310, Average Loss  0.871054, Time  0.354272
2021-09-08 20:08:35.930277 : Epoch  2, Batch   1007, Loss  0.882149, Average Loss  0.871140, Time  0.411112
2021-09-08 20:08:37.686218 : Epoch  2, Batch   1008, Loss  0.890836, Average Loss  0.871196, Time  0.459836
2021-09-08 20:08:39.333847 : Epoch  2, Batch   1009, Loss  0.842819, Average Loss  0.871048, Time  0.352644
2021-09-08 20:08:40.965358 : Epoch  2, Batch   1010, Loss  0.864796, Average Loss  0.871027, Time  0.353511
2021-09-08 20:08:42.666116 : Epoch  2, Batch   1011, Loss  0.831958, Average Loss  0.870918, Time  0.409434
2021-09-08 20:08:44.431039 : Epoch  2, Batch   1012, Loss  0.879891, Average Loss  0.870976, Time  0.463331
2021-09-08 20:08:46.067180 : Epoch  2, Batch   1013, Loss  0.868444, Average Loss  0.870868, Time  0.352551
2021-09-08 20:08:47.704628 : Epoch  2, Batch   1014, Loss  0.885536, Average Loss  0.871008, Time  0.354002
2021-09-08 20:08:49.387440 : Epoch  2, Batch   1015, Loss  0.898180, Average Loss  0.871222, Time  0.406040
2021-09-08 20:08:51.134548 : Epoch  2, Batch   1016, Loss  0.831660, Average Loss  0.870954, Time  0.461623
2021-09-08 20:08:52.771697 : Epoch  2, Batch   1017, Loss  0.909901, Average Loss  0.871146, Time  0.354515
2021-09-08 20:08:54.406823 : Epoch  2, Batch   1018, Loss  0.881298, Average Loss  0.871213, Time  0.353845
2021-09-08 20:08:56.106523 : Epoch  2, Batch   1019, Loss  0.853692, Average Loss  0.871129, Time  0.403790
2021-09-08 20:08:57.868094 : Epoch  2, Batch   1020, Loss  0.825689, Average Loss  0.870740, Time  0.460438
2021-09-08 20:08:59.516527 : Epoch  2, Batch   1021, Loss  0.861381, Average Loss  0.870779, Time  0.354609
2021-09-08 20:09:01.167458 : Epoch  2, Batch   1022, Loss  0.852200, Average Loss  0.870765, Time  0.354662
2021-09-08 20:09:02.852536 : Epoch  2, Batch   1023, Loss  0.847453, Average Loss  0.870645, Time  0.407389
2021-09-08 20:09:04.611539 : Epoch  2, Batch   1024, Loss  0.884420, Average Loss  0.870757, Time  0.461137
2021-09-08 20:09:06.261656 : Epoch  2, Batch   1025, Loss  0.880242, Average Loss  0.870741, Time  0.355683
2021-09-08 20:09:07.913612 : Epoch  2, Batch   1026, Loss  0.858852, Average Loss  0.870732, Time  0.355247
2021-09-08 20:09:09.610549 : Epoch  2, Batch   1027, Loss  0.871332, Average Loss  0.870723, Time  0.405178
2021-09-08 20:09:11.367339 : Epoch  2, Batch   1028, Loss  0.838491, Average Loss  0.870560, Time  0.461713
2021-09-08 20:09:13.014692 : Epoch  2, Batch   1029, Loss  0.867065, Average Loss  0.870545, Time  0.353333
2021-09-08 20:09:14.664396 : Epoch  2, Batch   1030, Loss  0.872072, Average Loss  0.870470, Time  0.353949
2021-09-08 20:09:16.371299 : Epoch  2, Batch   1031, Loss  0.879397, Average Loss  0.870492, Time  0.412815
2021-09-08 20:09:18.133873 : Epoch  2, Batch   1032, Loss  0.867600, Average Loss  0.870496, Time  0.461693
2021-09-08 20:09:19.780342 : Epoch  2, Batch   1033, Loss  0.869415, Average Loss  0.870479, Time  0.353396
2021-09-08 20:09:21.424432 : Epoch  2, Batch   1034, Loss  0.897349, Average Loss  0.870464, Time  0.353652
2021-09-08 20:09:23.130338 : Epoch  2, Batch   1035, Loss  0.847016, Average Loss  0.870286, Time  0.410416
2021-09-08 20:09:24.879117 : Epoch  2, Batch   1036, Loss  0.865772, Average Loss  0.870288, Time  0.463707
2021-09-08 20:09:26.509052 : Epoch  2, Batch   1037, Loss  0.870756, Average Loss  0.870356, Time  0.353409
2021-09-08 20:09:28.132103 : Epoch  2, Batch   1038, Loss  0.845414, Average Loss  0.870199, Time  0.353495
2021-09-08 20:09:29.828786 : Epoch  2, Batch   1039, Loss  0.900629, Average Loss  0.870371, Time  0.416750
2021-09-08 20:09:31.572949 : Epoch  2, Batch   1040, Loss  0.888153, Average Loss  0.870626, Time  0.460294
2021-09-08 20:09:33.200271 : Epoch  2, Batch   1041, Loss  0.882002, Average Loss  0.870607, Time  0.352517
2021-09-08 20:09:34.835424 : Epoch  2, Batch   1042, Loss  0.878592, Average Loss  0.870692, Time  0.354553
2021-09-08 20:09:36.516209 : Epoch  2, Batch   1043, Loss  0.854782, Average Loss  0.870688, Time  0.407897
2021-09-08 20:09:38.248085 : Epoch  2, Batch   1044, Loss  0.871196, Average Loss  0.870786, Time  0.454607
2021-09-08 20:09:39.890682 : Epoch  2, Batch   1045, Loss  0.859049, Average Loss  0.870762, Time  0.353414
2021-09-08 20:09:41.534393 : Epoch  2, Batch   1046, Loss  0.859929, Average Loss  0.870674, Time  0.352035
2021-09-08 20:09:43.231207 : Epoch  2, Batch   1047, Loss  0.904110, Average Loss  0.870765, Time  0.417292
2021-09-08 20:09:44.971756 : Epoch  2, Batch   1048, Loss  0.869251, Average Loss  0.870884, Time  0.463089
2021-09-08 20:09:46.605475 : Epoch  2, Batch   1049, Loss  0.895491, Average Loss  0.871096, Time  0.355890
2021-09-08 20:09:48.236265 : Epoch  2, Batch   1050, Loss  0.869226, Average Loss  0.871218, Time  0.353439
2021-09-08 20:09:49.921738 : Epoch  2, Batch   1051, Loss  0.887537, Average Loss  0.871369, Time  0.412604
2021-09-08 20:09:51.663540 : Epoch  2, Batch   1052, Loss  0.855107, Average Loss  0.871188, Time  0.461995
2021-09-08 20:09:53.299502 : Epoch  2, Batch   1053, Loss  0.881229, Average Loss  0.871299, Time  0.355825
2021-09-08 20:09:54.927477 : Epoch  2, Batch   1054, Loss  0.854283, Average Loss  0.871222, Time  0.353663
2021-09-08 20:09:56.617273 : Epoch  2, Batch   1055, Loss  0.879835, Average Loss  0.871195, Time  0.407645
2021-09-08 20:09:58.360826 : Epoch  2, Batch   1056, Loss  0.845123, Average Loss  0.870886, Time  0.462504
2021-09-08 20:09:59.998701 : Epoch  2, Batch   1057, Loss  0.876812, Average Loss  0.870923, Time  0.352568
2021-09-08 20:10:01.635871 : Epoch  2, Batch   1058, Loss  0.892353, Average Loss  0.870990, Time  0.353021
2021-09-08 20:10:03.324256 : Epoch  2, Batch   1059, Loss  0.834677, Average Loss  0.870788, Time  0.400306
2021-09-08 20:10:05.077027 : Epoch  2, Batch   1060, Loss  0.876711, Average Loss  0.870973, Time  0.463265
2021-09-08 20:10:06.716277 : Epoch  2, Batch   1061, Loss  0.865464, Average Loss  0.871003, Time  0.354259
2021-09-08 20:10:08.352008 : Epoch  2, Batch   1062, Loss  0.854874, Average Loss  0.870864, Time  0.352238
2021-09-08 20:10:10.033547 : Epoch  2, Batch   1063, Loss  0.864882, Average Loss  0.870818, Time  0.400272
2021-09-08 20:10:11.776160 : Epoch  2, Batch   1064, Loss  0.885283, Average Loss  0.870909, Time  0.462007
2021-09-08 20:10:13.407872 : Epoch  2, Batch   1065, Loss  0.888027, Average Loss  0.870989, Time  0.354204
2021-09-08 20:10:15.046532 : Epoch  2, Batch   1066, Loss  0.884024, Average Loss  0.870963, Time  0.353871
2021-09-08 20:10:16.732154 : Epoch  2, Batch   1067, Loss  0.880542, Average Loss  0.871049, Time  0.406798
2021-09-08 20:10:18.480395 : Epoch  2, Batch   1068, Loss  0.888265, Average Loss  0.871300, Time  0.462849
2021-09-08 20:10:20.118509 : Epoch  2, Batch   1069, Loss  0.900142, Average Loss  0.871572, Time  0.352670
2021-09-08 20:10:21.756537 : Epoch  2, Batch   1070, Loss  0.870730, Average Loss  0.871536, Time  0.354012
2021-09-08 20:10:23.445735 : Epoch  2, Batch   1071, Loss  0.852483, Average Loss  0.871327, Time  0.406497
2021-09-08 20:10:25.204742 : Epoch  2, Batch   1072, Loss  0.865194, Average Loss  0.871243, Time  0.461109
2021-09-08 20:10:26.857493 : Epoch  2, Batch   1073, Loss  0.885886, Average Loss  0.871384, Time  0.354006
2021-09-08 20:10:28.499156 : Epoch  2, Batch   1074, Loss  0.882435, Average Loss  0.871355, Time  0.352446
2021-09-08 20:10:30.186085 : Epoch  2, Batch   1075, Loss  0.835318, Average Loss  0.871171, Time  0.403726
2021-09-08 20:10:31.940057 : Epoch  2, Batch   1076, Loss  0.887183, Average Loss  0.871251, Time  0.460441
2021-09-08 20:10:33.589105 : Epoch  2, Batch   1077, Loss  0.868452, Average Loss  0.871230, Time  0.354293
2021-09-08 20:10:35.246621 : Epoch  2, Batch   1078, Loss  0.855010, Average Loss  0.871048, Time  0.354299
2021-09-08 20:10:36.948512 : Epoch  2, Batch   1079, Loss  0.866628, Average Loss  0.871008, Time  0.401625
2021-09-08 20:10:38.710006 : Epoch  2, Batch   1080, Loss  0.880719, Average Loss  0.871018, Time  0.460223
2021-09-08 20:10:40.364045 : Epoch  2, Batch   1081, Loss  0.878456, Average Loss  0.871155, Time  0.353307
2021-09-08 20:10:42.004792 : Epoch  2, Batch   1082, Loss  0.872630, Average Loss  0.871286, Time  0.353532
2021-09-08 20:10:43.693310 : Epoch  2, Batch   1083, Loss  0.857904, Average Loss  0.871115, Time  0.402771
2021-09-08 20:10:45.447637 : Epoch  2, Batch   1084, Loss  0.876314, Average Loss  0.871132, Time  0.462730
2021-09-08 20:10:47.102726 : Epoch  2, Batch   1085, Loss  0.870589, Average Loss  0.871254, Time  0.353084
2021-09-08 20:10:48.735263 : Epoch  2, Batch   1086, Loss  0.889432, Average Loss  0.871371, Time  0.352764
2021-09-08 20:10:50.421956 : Epoch  2, Batch   1087, Loss  0.854687, Average Loss  0.871208, Time  0.402784
2021-09-08 20:10:52.170636 : Epoch  2, Batch   1088, Loss  0.865165, Average Loss  0.871189, Time  0.462584
2021-09-08 20:10:53.817512 : Epoch  2, Batch   1089, Loss  0.860176, Average Loss  0.871070, Time  0.353405
2021-09-08 20:15:17.802378 : CheckPoint: Validation Loss  0.00063019, Best Loss  0.00058177
2021-09-08 20:15:19.446752 : Epoch  2, Batch   1090, Loss  0.876203, Average Loss  0.871119, Time  0.357317
2021-09-08 20:15:21.148684 : Epoch  2, Batch   1091, Loss  0.870249, Average Loss  0.870931, Time  0.422734
2021-09-08 20:15:22.890391 : Epoch  2, Batch   1092, Loss  0.838838, Average Loss  0.870972, Time  0.459247
2021-09-08 20:15:24.545047 : Epoch  2, Batch   1093, Loss  0.884328, Average Loss  0.870905, Time  0.352674
2021-09-08 20:15:26.184542 : Epoch  2, Batch   1094, Loss  0.857274, Average Loss  0.870819, Time  0.353573
2021-09-08 20:15:27.871394 : Epoch  2, Batch   1095, Loss  0.859184, Average Loss  0.870784, Time  0.409865
2021-09-08 20:15:29.610118 : Epoch  2, Batch   1096, Loss  0.838980, Average Loss  0.870698, Time  0.462955
2021-09-08 20:15:31.257786 : Epoch  2, Batch   1097, Loss  0.861516, Average Loss  0.870820, Time  0.353353
2021-09-08 20:15:32.909439 : Epoch  2, Batch   1098, Loss  0.883276, Average Loss  0.870689, Time  0.352801
2021-09-08 20:15:34.615253 : Epoch  2, Batch   1099, Loss  0.888624, Average Loss  0.870717, Time  0.410264
2021-09-08 20:15:36.374763 : Epoch  2, Batch   1100, Loss  0.847743, Average Loss  0.870642, Time  0.460132
2021-09-08 20:15:38.009336 : Epoch  2, Batch   1101, Loss  0.844965, Average Loss  0.870362, Time  0.353878
2021-09-08 20:15:39.664742 : Epoch  2, Batch   1102, Loss  0.855658, Average Loss  0.870353, Time  0.354568
2021-09-08 20:15:41.357158 : Epoch  2, Batch   1103, Loss  0.913459, Average Loss  0.870519, Time  0.404669
2021-09-08 20:15:43.120159 : Epoch  2, Batch   1104, Loss  0.868864, Average Loss  0.870463, Time  0.461609
2021-09-08 20:15:44.761665 : Epoch  2, Batch   1105, Loss  0.859656, Average Loss  0.870526, Time  0.352994
2021-09-08 20:15:46.394185 : Epoch  2, Batch   1106, Loss  0.846588, Average Loss  0.870427, Time  0.355089
2021-09-08 20:15:48.105040 : Epoch  2, Batch   1107, Loss  0.876173, Average Loss  0.870363, Time  0.407513
2021-09-08 20:15:49.861455 : Epoch  2, Batch   1108, Loss  0.834154, Average Loss  0.870105, Time  0.463106
2021-09-08 20:15:51.514673 : Epoch  2, Batch   1109, Loss  0.864637, Average Loss  0.870031, Time  0.353198
2021-09-08 20:15:53.165015 : Epoch  2, Batch   1110, Loss  0.882466, Average Loss  0.870158, Time  0.353184
2021-09-08 20:15:54.866756 : Epoch  2, Batch   1111, Loss  0.858771, Average Loss  0.870117, Time  0.407674
2021-09-08 20:15:56.617466 : Epoch  2, Batch   1112, Loss  0.854059, Average Loss  0.870050, Time  0.458672
2021-09-08 20:15:58.259850 : Epoch  2, Batch   1113, Loss  0.884278, Average Loss  0.870141, Time  0.353367
2021-09-08 20:15:59.891699 : Epoch  2, Batch   1114, Loss  0.867964, Average Loss  0.870066, Time  0.352566
2021-09-08 20:16:01.584670 : Epoch  2, Batch   1115, Loss  0.850398, Average Loss  0.870003, Time  0.411898
2021-09-08 20:16:03.323567 : Epoch  2, Batch   1116, Loss  0.862849, Average Loss  0.869847, Time  0.460687
2021-09-08 20:16:04.954305 : Epoch  2, Batch   1117, Loss  0.828065, Average Loss  0.869667, Time  0.352986
2021-09-08 20:16:06.605489 : Epoch  2, Batch   1118, Loss  0.850306, Average Loss  0.869581, Time  0.352871
2021-09-08 20:16:08.318458 : Epoch  2, Batch   1119, Loss  0.882683, Average Loss  0.869605, Time  0.416611
2021-09-08 20:16:10.072063 : Epoch  2, Batch   1120, Loss  0.850233, Average Loss  0.869425, Time  0.458427
2021-09-08 20:16:11.716895 : Epoch  2, Batch   1121, Loss  0.892139, Average Loss  0.869446, Time  0.353149
2021-09-08 20:16:13.367472 : Epoch  2, Batch   1122, Loss  0.899907, Average Loss  0.869686, Time  0.354324
2021-09-08 20:16:15.070375 : Epoch  2, Batch   1123, Loss  0.854564, Average Loss  0.869516, Time  0.416344
2021-09-08 20:16:16.831532 : Epoch  2, Batch   1124, Loss  0.871239, Average Loss  0.869511, Time  0.462791
2021-09-08 20:16:18.479261 : Epoch  2, Batch   1125, Loss  0.862986, Average Loss  0.869653, Time  0.353058
2021-09-08 20:16:20.105787 : Epoch  2, Batch   1126, Loss  0.910084, Average Loss  0.869917, Time  0.353560
2021-09-08 20:16:21.804654 : Epoch  2, Batch   1127, Loss  0.857038, Average Loss  0.869989, Time  0.412922
2021-09-08 20:16:23.562812 : Epoch  2, Batch   1128, Loss  0.861841, Average Loss  0.869923, Time  0.459382
2021-09-08 20:16:25.208190 : Epoch  2, Batch   1129, Loss  0.856607, Average Loss  0.869879, Time  0.352531
2021-09-08 20:16:26.834003 : Epoch  2, Batch   1130, Loss  0.875841, Average Loss  0.869832, Time  0.352703
2021-09-08 20:16:28.532595 : Epoch  2, Batch   1131, Loss  0.860140, Average Loss  0.869811, Time  0.418684
2021-09-08 20:16:30.276964 : Epoch  2, Batch   1132, Loss  0.883793, Average Loss  0.869877, Time  0.460900
2021-09-08 20:16:31.910055 : Epoch  2, Batch   1133, Loss  0.895562, Average Loss  0.870103, Time  0.353423
2021-09-08 20:16:33.543405 : Epoch  2, Batch   1134, Loss  0.862483, Average Loss  0.870009, Time  0.353260
2021-09-08 20:16:35.235748 : Epoch  2, Batch   1135, Loss  0.872135, Average Loss  0.870139, Time  0.415847
2021-09-08 20:16:37.001823 : Epoch  2, Batch   1136, Loss  0.889980, Average Loss  0.870123, Time  0.461738
2021-09-08 20:16:38.673331 : Epoch  2, Batch   1137, Loss  0.863057, Average Loss  0.869966, Time  0.353690
2021-09-08 20:16:40.338011 : Epoch  2, Batch   1138, Loss  0.861424, Average Loss  0.870045, Time  0.356064
2021-09-08 20:16:42.053194 : Epoch  2, Batch   1139, Loss  0.876076, Average Loss  0.870071, Time  0.397397
2021-09-08 20:16:43.849643 : Epoch  2, Batch   1140, Loss  0.878751, Average Loss  0.869999, Time  0.461678
2021-09-08 20:16:45.499140 : Epoch  2, Batch   1141, Loss  0.882132, Average Loss  0.870087, Time  0.353163
2021-09-08 20:16:47.151520 : Epoch  2, Batch   1142, Loss  0.847293, Average Loss  0.870041, Time  0.354450
2021-09-08 20:16:48.859843 : Epoch  2, Batch   1143, Loss  0.884750, Average Loss  0.870067, Time  0.405729
2021-09-08 20:16:50.621079 : Epoch  2, Batch   1144, Loss  0.867214, Average Loss  0.870154, Time  0.458084
2021-09-08 20:16:52.268427 : Epoch  2, Batch   1145, Loss  0.868036, Average Loss  0.870169, Time  0.353878
2021-09-08 20:16:53.921063 : Epoch  2, Batch   1146, Loss  0.845383, Average Loss  0.870167, Time  0.356266
2021-09-08 20:16:55.628082 : Epoch  2, Batch   1147, Loss  0.861990, Average Loss  0.870150, Time  0.405954
2021-09-08 20:16:57.390778 : Epoch  2, Batch   1148, Loss  0.889014, Average Loss  0.870233, Time  0.461662
2021-09-08 20:16:59.033442 : Epoch  2, Batch   1149, Loss  0.864800, Average Loss  0.870210, Time  0.351831
2021-09-08 20:17:00.668666 : Epoch  2, Batch   1150, Loss  0.832727, Average Loss  0.870178, Time  0.352457
2021-09-08 20:17:02.350990 : Epoch  2, Batch   1151, Loss  0.870974, Average Loss  0.870038, Time  0.403463
2021-09-08 20:17:04.093119 : Epoch  2, Batch   1152, Loss  0.871421, Average Loss  0.870105, Time  0.461693
2021-09-08 20:17:05.733568 : Epoch  2, Batch   1153, Loss  0.882327, Average Loss  0.870110, Time  0.353860
2021-09-08 20:17:07.382285 : Epoch  2, Batch   1154, Loss  0.861693, Average Loss  0.870038, Time  0.353710
2021-09-08 20:17:09.087836 : Epoch  2, Batch   1155, Loss  0.850966, Average Loss  0.869903, Time  0.410611
2021-09-08 20:17:10.853496 : Epoch  2, Batch   1156, Loss  0.888719, Average Loss  0.870024, Time  0.461890
2021-09-08 20:17:12.478211 : Epoch  2, Batch   1157, Loss  0.877205, Average Loss  0.870003, Time  0.352908
2021-09-08 20:17:14.109793 : Epoch  2, Batch   1158, Loss  0.847248, Average Loss  0.869884, Time  0.353743
2021-09-08 20:17:15.789375 : Epoch  2, Batch   1159, Loss  0.865271, Average Loss  0.869804, Time  0.403283
2021-09-08 20:17:17.534862 : Epoch  2, Batch   1160, Loss  0.890782, Average Loss  0.870000, Time  0.458099
2021-09-08 20:17:19.169493 : Epoch  2, Batch   1161, Loss  0.878486, Average Loss  0.870043, Time  0.351445
2021-09-08 20:17:20.807373 : Epoch  2, Batch   1162, Loss  0.908363, Average Loss  0.870107, Time  0.352945
2021-09-08 20:17:22.512160 : Epoch  2, Batch   1163, Loss  0.870546, Average Loss  0.870195, Time  0.410629
2021-09-08 20:17:24.275881 : Epoch  2, Batch   1164, Loss  0.884708, Average Loss  0.870174, Time  0.461024
2021-09-08 20:17:25.936272 : Epoch  2, Batch   1165, Loss  0.870196, Average Loss  0.870093, Time  0.352889
2021-09-08 20:17:27.590827 : Epoch  2, Batch   1166, Loss  0.852683, Average Loss  0.870034, Time  0.354374
2021-09-08 20:17:29.292654 : Epoch  2, Batch   1167, Loss  0.854811, Average Loss  0.869938, Time  0.402727
2021-09-08 20:17:31.058633 : Epoch  2, Batch   1168, Loss  0.866976, Average Loss  0.869950, Time  0.462286
2021-09-08 20:17:32.709578 : Epoch  2, Batch   1169, Loss  0.870225, Average Loss  0.870056, Time  0.352851
2021-09-08 20:17:34.355303 : Epoch  2, Batch   1170, Loss  0.873368, Average Loss  0.869972, Time  0.351891
2021-09-08 20:17:36.045063 : Epoch  2, Batch   1171, Loss  0.872860, Average Loss  0.870057, Time  0.408252
2021-09-08 20:17:37.788888 : Epoch  2, Batch   1172, Loss  0.872386, Average Loss  0.870233, Time  0.461658
2021-09-08 20:17:39.426644 : Epoch  2, Batch   1173, Loss  0.854288, Average Loss  0.870206, Time  0.353354
2021-09-08 20:17:41.062003 : Epoch  2, Batch   1174, Loss  0.869467, Average Loss  0.870205, Time  0.352808
2021-09-08 20:17:42.739484 : Epoch  2, Batch   1175, Loss  0.869856, Average Loss  0.870131, Time  0.399679
2021-09-08 20:17:44.483045 : Epoch  2, Batch   1176, Loss  0.859363, Average Loss  0.870054, Time  0.461723
2021-09-08 20:17:46.143224 : Epoch  2, Batch   1177, Loss  0.816427, Average Loss  0.869876, Time  0.353968
2021-09-08 20:17:47.800312 : Epoch  2, Batch   1178, Loss  0.860058, Average Loss  0.869769, Time  0.354561
2021-09-08 20:17:49.502678 : Epoch  2, Batch   1179, Loss  0.861385, Average Loss  0.869799, Time  0.400274
2021-09-08 20:17:51.261275 : Epoch  2, Batch   1180, Loss  0.858563, Average Loss  0.869752, Time  0.461646
2021-09-08 20:17:52.912727 : Epoch  2, Batch   1181, Loss  0.866146, Average Loss  0.869851, Time  0.352942
2021-09-08 20:17:54.550528 : Epoch  2, Batch   1182, Loss  0.860638, Average Loss  0.869677, Time  0.352261
2021-09-08 20:17:56.247340 : Epoch  2, Batch   1183, Loss  0.854701, Average Loss  0.869520, Time  0.405781
2021-09-08 20:17:58.002837 : Epoch  2, Batch   1184, Loss  0.885627, Average Loss  0.869594, Time  0.460938
2021-09-08 20:17:59.641017 : Epoch  2, Batch   1185, Loss  0.879009, Average Loss  0.869500, Time  0.353510
2021-09-08 20:18:01.275820 : Epoch  2, Batch   1186, Loss  0.850312, Average Loss  0.869411, Time  0.353631
2021-09-08 20:18:02.960177 : Epoch  2, Batch   1187, Loss  0.883207, Average Loss  0.869527, Time  0.404671
2021-09-08 20:18:04.710077 : Epoch  2, Batch   1188, Loss  0.847912, Average Loss  0.869372, Time  0.461893
2021-09-08 20:18:06.355463 : Epoch  2, Batch   1189, Loss  0.874581, Average Loss  0.869247, Time  0.353581
2021-09-08 20:22:32.640429 : CheckPoint: Validation Loss  0.00058617, Best Loss  0.00058177
2021-09-08 20:22:34.282270 : Epoch  2, Batch   1190, Loss  0.889367, Average Loss  0.869238, Time  0.353502
2021-09-08 20:22:35.922769 : Epoch  2, Batch   1191, Loss  0.856205, Average Loss  0.868991, Time  0.354477
2021-09-08 20:22:37.612535 : Epoch  2, Batch   1192, Loss  0.865808, Average Loss  0.868692, Time  0.400098
2021-09-08 20:22:39.355843 : Epoch  2, Batch   1193, Loss  0.888991, Average Loss  0.868871, Time  0.462610
2021-09-08 20:22:40.998571 : Epoch  2, Batch   1194, Loss  0.885726, Average Loss  0.868882, Time  0.354102
2021-09-08 20:22:42.653659 : Epoch  2, Batch   1195, Loss  0.883154, Average Loss  0.868863, Time  0.352674
2021-09-08 20:22:44.344322 : Epoch  2, Batch   1196, Loss  0.877552, Average Loss  0.868880, Time  0.405174
2021-09-08 20:22:46.091538 : Epoch  2, Batch   1197, Loss  0.886229, Average Loss  0.869055, Time  0.464767
2021-09-08 20:22:47.728471 : Epoch  2, Batch   1198, Loss  0.877586, Average Loss  0.869096, Time  0.353735
2021-09-08 20:22:49.379320 : Epoch  2, Batch   1199, Loss  0.878423, Average Loss  0.869071, Time  0.353795
2021-09-08 20:22:51.085071 : Epoch  2, Batch   1200, Loss  0.897748, Average Loss  0.869224, Time  0.399407
2021-09-08 20:22:52.724258 : Epoch  2, Batch   1201, Loss  0.855676, Average Loss  0.869107, Time  0.353790
2021-09-08 20:22:54.450314 : Epoch  2, Batch   1202, Loss  0.859281, Average Loss  0.869221, Time  0.443197
2021-09-08 20:22:56.217778 : Epoch  2, Batch   1203, Loss  0.876642, Average Loss  0.869269, Time  0.462774
2021-09-08 20:22:57.874013 : Epoch  2, Batch   1204, Loss  0.874459, Average Loss  0.869311, Time  0.354896
2021-09-08 20:22:59.512864 : Epoch  2, Batch   1205, Loss  0.864155, Average Loss  0.869213, Time  0.353824
2021-09-08 20:23:01.198328 : Epoch  2, Batch   1206, Loss  0.855017, Average Loss  0.869016, Time  0.401100
2021-09-08 20:23:02.944310 : Epoch  2, Batch   1207, Loss  0.848576, Average Loss  0.868848, Time  0.461667
2021-09-08 20:23:04.581616 : Epoch  2, Batch   1208, Loss  0.854783, Average Loss  0.868668, Time  0.353512
2021-09-08 20:23:06.219539 : Epoch  2, Batch   1209, Loss  0.870363, Average Loss  0.868806, Time  0.352658
2021-09-08 20:23:07.901696 : Epoch  2, Batch   1210, Loss  0.880644, Average Loss  0.868885, Time  0.395116
2021-09-08 20:23:09.648860 : Epoch  2, Batch   1211, Loss  0.894375, Average Loss  0.869197, Time  0.461290
2021-09-08 20:23:11.291443 : Epoch  2, Batch   1212, Loss  0.878777, Average Loss  0.869192, Time  0.352300
2021-09-08 20:23:12.932833 : Epoch  2, Batch   1213, Loss  0.898128, Average Loss  0.869340, Time  0.352156
2021-09-08 20:23:14.611872 : Epoch  2, Batch   1214, Loss  0.855234, Average Loss  0.869188, Time  0.392790
2021-09-08 20:23:16.351774 : Epoch  2, Batch   1215, Loss  0.855279, Average Loss  0.868974, Time  0.460032
2021-09-08 20:23:17.988640 : Epoch  2, Batch   1216, Loss  0.827126, Average Loss  0.868951, Time  0.351157
2021-09-08 20:23:19.623677 : Epoch  2, Batch   1217, Loss  0.897276, Average Loss  0.868888, Time  0.353664
2021-09-08 20:23:21.319175 : Epoch  2, Batch   1218, Loss  0.874282, Average Loss  0.868853, Time  0.400603
2021-09-08 20:23:23.077736 : Epoch  2, Batch   1219, Loss  0.868518, Average Loss  0.868927, Time  0.461792
2021-09-08 20:23:24.705029 : Epoch  2, Batch   1220, Loss  0.872844, Average Loss  0.869163, Time  0.352712
2021-09-08 20:23:26.342384 : Epoch  2, Batch   1221, Loss  0.882361, Average Loss  0.869268, Time  0.353820
2021-09-08 20:23:28.026772 : Epoch  2, Batch   1222, Loss  0.855294, Average Loss  0.869283, Time  0.406478
2021-09-08 20:23:29.768986 : Epoch  2, Batch   1223, Loss  0.878667, Average Loss  0.869439, Time  0.460499
2021-09-08 20:23:31.403087 : Epoch  2, Batch   1224, Loss  0.836413, Average Loss  0.869199, Time  0.353477
2021-09-08 20:23:33.035952 : Epoch  2, Batch   1225, Loss  0.877937, Average Loss  0.869188, Time  0.354105
2021-09-08 20:23:34.720269 : Epoch  2, Batch   1226, Loss  0.874974, Average Loss  0.869268, Time  0.402896
2021-09-08 20:23:36.462959 : Epoch  2, Batch   1227, Loss  0.844512, Average Loss  0.869134, Time  0.462432
2021-09-08 20:23:38.098895 : Epoch  2, Batch   1228, Loss  0.867175, Average Loss  0.869278, Time  0.352793
2021-09-08 20:23:39.729408 : Epoch  2, Batch   1229, Loss  0.892470, Average Loss  0.869405, Time  0.353099
2021-09-08 20:23:41.415951 : Epoch  2, Batch   1230, Loss  0.879254, Average Loss  0.869441, Time  0.404733
2021-09-08 20:23:43.171905 : Epoch  2, Batch   1231, Loss  0.864881, Average Loss  0.869368, Time  0.460184
2021-09-08 20:23:44.828867 : Epoch  2, Batch   1232, Loss  0.889552, Average Loss  0.869478, Time  0.354132
2021-09-08 20:23:46.470443 : Epoch  2, Batch   1233, Loss  0.879138, Average Loss  0.869527, Time  0.353572
2021-09-08 20:23:48.177977 : Epoch  2, Batch   1234, Loss  0.868754, Average Loss  0.869384, Time  0.406119
2021-09-08 20:23:49.922919 : Epoch  2, Batch   1235, Loss  0.860932, Average Loss  0.869453, Time  0.461035
2021-09-08 20:23:51.567547 : Epoch  2, Batch   1236, Loss  0.864129, Average Loss  0.869445, Time  0.353743
2021-09-08 20:23:53.218311 : Epoch  2, Batch   1237, Loss  0.878003, Average Loss  0.869481, Time  0.354582
2021-09-08 20:23:54.915879 : Epoch  2, Batch   1238, Loss  0.883507, Average Loss  0.869672, Time  0.404238
2021-09-08 20:23:56.676076 : Epoch  2, Batch   1239, Loss  0.868060, Average Loss  0.869509, Time  0.461833
2021-09-08 20:23:58.329637 : Epoch  2, Batch   1240, Loss  0.874417, Average Loss  0.869440, Time  0.354158
2021-09-08 20:23:59.979353 : Epoch  2, Batch   1241, Loss  0.859668, Average Loss  0.869328, Time  0.353082
2021-09-08 20:24:01.675175 : Epoch  2, Batch   1242, Loss  0.855241, Average Loss  0.869212, Time  0.403745
2021-09-08 20:24:03.432429 : Epoch  2, Batch   1243, Loss  0.882987, Average Loss  0.869353, Time  0.461362
2021-09-08 20:24:05.070834 : Epoch  2, Batch   1244, Loss  0.852362, Average Loss  0.869259, Time  0.352766
2021-09-08 20:24:06.705774 : Epoch  2, Batch   1245, Loss  0.858111, Average Loss  0.869254, Time  0.353184
2021-09-08 20:24:08.387454 : Epoch  2, Batch   1246, Loss  0.875037, Average Loss  0.869329, Time  0.401511
2021-09-08 20:24:10.126224 : Epoch  2, Batch   1247, Loss  0.872998, Average Loss  0.869174, Time  0.461991
2021-09-08 20:24:11.757299 : Epoch  2, Batch   1248, Loss  0.864539, Average Loss  0.869150, Time  0.353502
2021-09-08 20:24:13.393062 : Epoch  2, Batch   1249, Loss  0.888644, Average Loss  0.869116, Time  0.352930
2021-09-08 20:24:15.075231 : Epoch  2, Batch   1250, Loss  0.848110, Average Loss  0.869010, Time  0.405823
2021-09-08 20:24:16.830566 : Epoch  2, Batch   1251, Loss  0.860125, Average Loss  0.868873, Time  0.461138
2021-09-08 20:24:18.483945 : Epoch  2, Batch   1252, Loss  0.869565, Average Loss  0.868946, Time  0.353559
2021-09-08 20:24:20.138427 : Epoch  2, Batch   1253, Loss  0.860704, Average Loss  0.868843, Time  0.354990
2021-09-08 20:24:21.835756 : Epoch  2, Batch   1254, Loss  0.847392, Average Loss  0.868809, Time  0.402375
2021-09-08 20:24:23.592571 : Epoch  2, Batch   1255, Loss  0.868600, Average Loss  0.868752, Time  0.460366
2021-09-08 20:24:25.222655 : Epoch  2, Batch   1256, Loss  0.902671, Average Loss  0.869040, Time  0.352921
2021-09-08 20:24:26.853385 : Epoch  2, Batch   1257, Loss  0.875950, Average Loss  0.869036, Time  0.352598
2021-09-08 20:24:28.539807 : Epoch  2, Batch   1258, Loss  0.891377, Average Loss  0.869031, Time  0.405641
2021-09-08 20:24:30.274786 : Epoch  2, Batch   1259, Loss  0.855053, Average Loss  0.869133, Time  0.462041
2021-09-08 20:24:31.926719 : Epoch  2, Batch   1260, Loss  0.903706, Average Loss  0.869268, Time  0.352541
2021-09-08 20:24:33.560161 : Epoch  2, Batch   1261, Loss  0.875326, Average Loss  0.869317, Time  0.352862
2021-09-08 20:24:35.246363 : Epoch  2, Batch   1262, Loss  0.880376, Average Loss  0.869445, Time  0.406957
2021-09-08 20:24:36.983688 : Epoch  2, Batch   1263, Loss  0.859330, Average Loss  0.869417, Time  0.459195
2021-09-08 20:24:38.631428 : Epoch  2, Batch   1264, Loss  0.854916, Average Loss  0.869265, Time  0.352433
2021-09-08 20:24:40.276220 : Epoch  2, Batch   1265, Loss  0.871696, Average Loss  0.869183, Time  0.354348
2021-09-08 20:24:41.962388 : Epoch  2, Batch   1266, Loss  0.849321, Average Loss  0.869010, Time  0.398135
2021-09-08 20:24:43.703736 : Epoch  2, Batch   1267, Loss  0.874070, Average Loss  0.868978, Time  0.462253
2021-09-08 20:24:45.351768 : Epoch  2, Batch   1268, Loss  0.882104, Average Loss  0.868947, Time  0.353527
2021-09-08 20:24:46.984761 : Epoch  2, Batch   1269, Loss  0.856104, Average Loss  0.868727, Time  0.352983
2021-09-08 20:24:48.662940 : Epoch  2, Batch   1270, Loss  0.901087, Average Loss  0.868878, Time  0.403822
2021-09-08 20:24:50.414283 : Epoch  2, Batch   1271, Loss  0.879364, Average Loss  0.869013, Time  0.462497
2021-09-08 20:24:52.075634 : Epoch  2, Batch   1272, Loss  0.884814, Average Loss  0.869111, Time  0.352765
2021-09-08 20:24:53.719278 : Epoch  2, Batch   1273, Loss  0.882630, Average Loss  0.869095, Time  0.352354
2021-09-08 20:24:55.392621 : Epoch  2, Batch   1274, Loss  0.886249, Average Loss  0.869114, Time  0.397629
2021-09-08 20:24:57.134042 : Epoch  2, Batch   1275, Loss  0.881585, Average Loss  0.869345, Time  0.461227
2021-09-08 20:24:58.776137 : Epoch  2, Batch   1276, Loss  0.859498, Average Loss  0.869207, Time  0.354305
2021-09-08 20:25:00.413051 : Epoch  2, Batch   1277, Loss  0.864122, Average Loss  0.869185, Time  0.353963
2021-09-08 20:25:02.088757 : Epoch  2, Batch   1278, Loss  0.849467, Average Loss  0.869157, Time  0.398281
2021-09-08 20:25:03.843779 : Epoch  2, Batch   1279, Loss  0.883735, Average Loss  0.869243, Time  0.461420
2021-09-08 20:25:05.488943 : Epoch  2, Batch   1280, Loss  0.877223, Average Loss  0.869225, Time  0.352242
2021-09-08 20:25:07.123887 : Epoch  2, Batch   1281, Loss  0.880991, Average Loss  0.869238, Time  0.352619
2021-09-08 20:25:08.810436 : Epoch  2, Batch   1282, Loss  0.868785, Average Loss  0.869219, Time  0.408211
2021-09-08 20:25:10.553468 : Epoch  2, Batch   1283, Loss  0.854948, Average Loss  0.869204, Time  0.462181
2021-09-08 20:25:12.188011 : Epoch  2, Batch   1284, Loss  0.857219, Average Loss  0.869108, Time  0.353746
2021-09-08 20:25:13.819783 : Epoch  2, Batch   1285, Loss  0.862921, Average Loss  0.869070, Time  0.353816
2021-09-08 20:25:15.500711 : Epoch  2, Batch   1286, Loss  0.822061, Average Loss  0.868733, Time  0.406240
2021-09-08 20:25:17.241471 : Epoch  2, Batch   1287, Loss  0.865651, Average Loss  0.868788, Time  0.461980
2021-09-08 20:25:18.883872 : Epoch  2, Batch   1288, Loss  0.898087, Average Loss  0.868953, Time  0.354508
2021-09-08 20:25:26.248613 : Epoch  2, Batch   1289, Loss  0.876216, Average Loss  0.869033, Time  0.395888
2021-09-08 20:29:52.697677 : CheckPoint: Validation Loss  0.00062059, Best Loss  0.00058177
2021-09-08 20:29:54.336157 : Epoch  2, Batch   1290, Loss  0.883734, Average Loss  0.869071, Time  0.351002
2021-09-08 20:29:56.075808 : Epoch  2, Batch   1291, Loss  0.871117, Average Loss  0.869075, Time  0.464912
2021-09-08 20:29:57.706598 : Epoch  2, Batch   1292, Loss  0.857394, Average Loss  0.869168, Time  0.336488
2021-09-08 20:29:59.354673 : Epoch  2, Batch   1293, Loss  0.860734, Average Loss  0.869050, Time  0.353879
2021-09-08 20:30:01.016171 : Epoch  2, Batch   1294, Loss  0.855863, Average Loss  0.869043, Time  0.362113
2021-09-08 20:30:02.768373 : Epoch  2, Batch   1295, Loss  0.888011, Average Loss  0.869187, Time  0.460124
2021-09-08 20:30:04.402376 : Epoch  2, Batch   1296, Loss  0.856873, Average Loss  0.869276, Time  0.354254
2021-09-08 20:30:06.058085 : Epoch  2, Batch   1297, Loss  0.874903, Average Loss  0.869343, Time  0.356286
2021-09-08 20:30:07.758290 : Epoch  2, Batch   1298, Loss  0.854645, Average Loss  0.869200, Time  0.399995
2021-09-08 20:30:09.501423 : Epoch  2, Batch   1299, Loss  0.854720, Average Loss  0.869030, Time  0.460872
2021-09-08 20:30:11.142001 : Epoch  2, Batch   1300, Loss  0.903972, Average Loss  0.869312, Time  0.353756
2021-09-08 20:30:12.778456 : Epoch  2, Batch   1301, Loss  0.852906, Average Loss  0.869351, Time  0.353781
2021-09-08 20:30:14.461921 : Epoch  2, Batch   1302, Loss  0.860707, Average Loss  0.869377, Time  0.406880
2021-09-08 20:30:16.209176 : Epoch  2, Batch   1303, Loss  0.889318, Average Loss  0.869256, Time  0.462904
2021-09-08 20:30:17.844125 : Epoch  2, Batch   1304, Loss  0.861155, Average Loss  0.869217, Time  0.353644
2021-09-08 20:30:19.470510 : Epoch  2, Batch   1305, Loss  0.848522, Average Loss  0.869162, Time  0.353814
2021-09-08 20:30:21.157364 : Epoch  2, Batch   1306, Loss  0.870637, Average Loss  0.869282, Time  0.405238
2021-09-08 20:30:22.919266 : Epoch  2, Batch   1307, Loss  0.857131, Average Loss  0.869187, Time  0.461094
2021-09-08 20:30:24.565099 : Epoch  2, Batch   1308, Loss  0.890361, Average Loss  0.869468, Time  0.352271
2021-09-08 20:30:26.201180 : Epoch  2, Batch   1309, Loss  0.812570, Average Loss  0.869207, Time  0.355047
2021-09-08 20:30:27.894202 : Epoch  2, Batch   1310, Loss  0.849451, Average Loss  0.869042, Time  0.406671
2021-09-08 20:30:29.637117 : Epoch  2, Batch   1311, Loss  0.856253, Average Loss  0.869030, Time  0.461158
2021-09-08 20:30:31.276643 : Epoch  2, Batch   1312, Loss  0.827816, Average Loss  0.868899, Time  0.353909
2021-09-08 20:30:32.922544 : Epoch  2, Batch   1313, Loss  0.879323, Average Loss  0.868874, Time  0.354275
2021-09-08 20:30:34.610518 : Epoch  2, Batch   1314, Loss  0.885082, Average Loss  0.868959, Time  0.404861
2021-09-08 20:30:36.353728 : Epoch  2, Batch   1315, Loss  0.913108, Average Loss  0.869273, Time  0.462503
2021-09-08 20:30:38.010829 : Epoch  2, Batch   1316, Loss  0.894425, Average Loss  0.869431, Time  0.354134
2021-09-08 20:30:39.664369 : Epoch  2, Batch   1317, Loss  0.875507, Average Loss  0.869668, Time  0.354405
2021-09-08 20:30:41.363468 : Epoch  2, Batch   1318, Loss  0.902183, Average Loss  0.869927, Time  0.402816
2021-09-08 20:30:43.113532 : Epoch  2, Batch   1319, Loss  0.850229, Average Loss  0.869765, Time  0.462340
2021-09-08 20:30:44.753497 : Epoch  2, Batch   1320, Loss  0.891056, Average Loss  0.869969, Time  0.353059
2021-09-08 20:30:46.386129 : Epoch  2, Batch   1321, Loss  0.829183, Average Loss  0.869654, Time  0.354500
2021-09-08 20:30:48.071636 : Epoch  2, Batch   1322, Loss  0.885390, Average Loss  0.869582, Time  0.403013
2021-09-08 20:30:49.827997 : Epoch  2, Batch   1323, Loss  0.857158, Average Loss  0.869595, Time  0.460576
2021-09-08 20:30:51.483069 : Epoch  2, Batch   1324, Loss  0.864846, Average Loss  0.869563, Time  0.353706
2021-09-08 20:30:53.136330 : Epoch  2, Batch   1325, Loss  0.897930, Average Loss  0.869738, Time  0.353204
2021-09-08 20:30:54.841493 : Epoch  2, Batch   1326, Loss  0.858527, Average Loss  0.869480, Time  0.405435
2021-09-08 20:30:56.594811 : Epoch  2, Batch   1327, Loss  0.856102, Average Loss  0.869475, Time  0.456421
2021-09-08 20:30:58.234319 : Epoch  2, Batch   1328, Loss  0.869332, Average Loss  0.869513, Time  0.352468
2021-09-08 20:30:59.871722 : Epoch  2, Batch   1329, Loss  0.869278, Average Loss  0.869576, Time  0.354699
2021-09-08 20:31:01.591885 : Epoch  2, Batch   1330, Loss  0.853669, Average Loss  0.869465, Time  0.405290
2021-09-08 20:31:03.346843 : Epoch  2, Batch   1331, Loss  0.884282, Average Loss  0.869586, Time  0.461900
2021-09-08 20:31:05.004810 : Epoch  2, Batch   1332, Loss  0.878028, Average Loss  0.869557, Time  0.354211
2021-09-08 20:31:06.664027 : Epoch  2, Batch   1333, Loss  0.886087, Average Loss  0.869510, Time  0.354736
2021-09-08 20:31:08.362395 : Epoch  2, Batch   1334, Loss  0.839741, Average Loss  0.869396, Time  0.399231
2021-09-08 20:31:10.120099 : Epoch  2, Batch   1335, Loss  0.848385, Average Loss  0.869277, Time  0.459843
2021-09-08 20:31:11.772578 : Epoch  2, Batch   1336, Loss  0.875198, Average Loss  0.869203, Time  0.353661
2021-09-08 20:31:13.413500 : Epoch  2, Batch   1337, Loss  0.886876, Average Loss  0.869322, Time  0.354838
2021-09-08 20:31:15.103225 : Epoch  2, Batch   1338, Loss  0.892301, Average Loss  0.869477, Time  0.403245
2021-09-08 20:31:16.873673 : Epoch  2, Batch   1339, Loss  0.896493, Average Loss  0.869579, Time  0.460816
2021-09-08 20:31:18.527448 : Epoch  2, Batch   1340, Loss  0.859634, Average Loss  0.869483, Time  0.355412
2021-09-08 20:31:20.183398 : Epoch  2, Batch   1341, Loss  0.881439, Average Loss  0.869480, Time  0.354011
2021-09-08 20:31:21.880091 : Epoch  2, Batch   1342, Loss  0.869749, Average Loss  0.869592, Time  0.403113
2021-09-08 20:31:23.643324 : Epoch  2, Batch   1343, Loss  0.864720, Average Loss  0.869492, Time  0.461820
2021-09-08 20:31:25.274622 : Epoch  2, Batch   1344, Loss  0.871533, Average Loss  0.869513, Time  0.352452
2021-09-08 20:31:26.909611 : Epoch  2, Batch   1345, Loss  0.895413, Average Loss  0.869650, Time  0.353909
2021-09-08 20:31:28.584752 : Epoch  2, Batch   1346, Loss  0.846589, Average Loss  0.869656, Time  0.403213
2021-09-08 20:31:30.331637 : Epoch  2, Batch   1347, Loss  0.860326, Average Loss  0.869648, Time  0.462871
2021-09-08 20:31:31.962963 : Epoch  2, Batch   1348, Loss  0.876423, Average Loss  0.869585, Time  0.354510
2021-09-08 20:31:33.595306 : Epoch  2, Batch   1349, Loss  0.831337, Average Loss  0.869418, Time  0.354005
2021-09-08 20:31:35.273755 : Epoch  2, Batch   1350, Loss  0.883915, Average Loss  0.869674, Time  0.403801
2021-09-08 20:31:37.011162 : Epoch  2, Batch   1351, Loss  0.890040, Average Loss  0.869769, Time  0.458198
2021-09-08 20:31:38.646403 : Epoch  2, Batch   1352, Loss  0.873947, Average Loss  0.869782, Time  0.353618
2021-09-08 20:31:40.271644 : Epoch  2, Batch   1353, Loss  0.863381, Average Loss  0.869687, Time  0.351261
2021-09-08 20:31:41.969891 : Epoch  2, Batch   1354, Loss  0.873821, Average Loss  0.869748, Time  0.412004
2021-09-08 20:31:43.727918 : Epoch  2, Batch   1355, Loss  0.851659, Average Loss  0.869751, Time  0.461881
2021-09-08 20:31:45.365025 : Epoch  2, Batch   1356, Loss  0.833311, Average Loss  0.869474, Time  0.353674
2021-09-08 20:31:46.998804 : Epoch  2, Batch   1357, Loss  0.878751, Average Loss  0.869482, Time  0.353873
2021-09-08 20:31:48.681857 : Epoch  2, Batch   1358, Loss  0.840242, Average Loss  0.869447, Time  0.408620
2021-09-08 20:31:50.422428 : Epoch  2, Batch   1359, Loss  0.825943, Average Loss  0.869250, Time  0.460312
2021-09-08 20:31:52.052263 : Epoch  2, Batch   1360, Loss  0.883016, Average Loss  0.869211, Time  0.353302
2021-09-08 20:31:53.696353 : Epoch  2, Batch   1361, Loss  0.843316, Average Loss  0.869035, Time  0.351577
2021-09-08 20:31:55.398571 : Epoch  2, Batch   1362, Loss  0.903469, Average Loss  0.869011, Time  0.413478
2021-09-08 20:31:57.154781 : Epoch  2, Batch   1363, Loss  0.870637, Average Loss  0.869011, Time  0.460583
2021-09-08 20:31:58.808378 : Epoch  2, Batch   1364, Loss  0.846681, Average Loss  0.868821, Time  0.355871
2021-09-08 20:32:00.452256 : Epoch  2, Batch   1365, Loss  0.906367, Average Loss  0.869002, Time  0.353778
2021-09-08 20:32:02.146259 : Epoch  2, Batch   1366, Loss  0.908265, Average Loss  0.869280, Time  0.413432
2021-09-08 20:32:03.886647 : Epoch  2, Batch   1367, Loss  0.854391, Average Loss  0.869278, Time  0.461966
2021-09-08 20:32:05.515866 : Epoch  2, Batch   1368, Loss  0.866998, Average Loss  0.869278, Time  0.353085
2021-09-08 20:32:07.148563 : Epoch  2, Batch   1369, Loss  0.868761, Average Loss  0.869271, Time  0.352977
2021-09-08 20:32:08.835290 : Epoch  2, Batch   1370, Loss  0.859525, Average Loss  0.869201, Time  0.409575
2021-09-08 20:32:10.579205 : Epoch  2, Batch   1371, Loss  0.847005, Average Loss  0.869072, Time  0.463310
2021-09-08 20:32:12.209848 : Epoch  2, Batch   1372, Loss  0.880151, Average Loss  0.869111, Time  0.353555
2021-09-08 20:32:13.856926 : Epoch  2, Batch   1373, Loss  0.852251, Average Loss  0.869101, Time  0.353657
2021-09-08 20:32:15.563080 : Epoch  2, Batch   1374, Loss  0.879643, Average Loss  0.869152, Time  0.407198
2021-09-08 20:32:17.325026 : Epoch  2, Batch   1375, Loss  0.833799, Average Loss  0.868971, Time  0.461160
2021-09-08 20:32:18.955279 : Epoch  2, Batch   1376, Loss  0.849973, Average Loss  0.868924, Time  0.354664
2021-09-08 20:32:20.589535 : Epoch  2, Batch   1377, Loss  0.890289, Average Loss  0.869294, Time  0.353453
2021-09-08 20:32:22.292176 : Epoch  2, Batch   1378, Loss  0.877402, Average Loss  0.869380, Time  0.408041
2021-09-08 20:32:24.053833 : Epoch  2, Batch   1379, Loss  0.862469, Average Loss  0.869386, Time  0.461405
2021-09-08 20:32:25.698142 : Epoch  2, Batch   1380, Loss  0.858505, Average Loss  0.869386, Time  0.354325
2021-09-08 20:32:27.339482 : Epoch  2, Batch   1381, Loss  0.835633, Average Loss  0.869233, Time  0.354296
2021-09-08 20:32:29.042301 : Epoch  2, Batch   1382, Loss  0.870583, Average Loss  0.869283, Time  0.407360
2021-09-08 20:32:30.804812 : Epoch  2, Batch   1383, Loss  0.860634, Average Loss  0.869312, Time  0.461452
2021-09-08 20:32:32.451506 : Epoch  2, Batch   1384, Loss  0.874124, Average Loss  0.869255, Time  0.354408
2021-09-08 20:32:34.097844 : Epoch  2, Batch   1385, Loss  0.886673, Average Loss  0.869293, Time  0.353881
2021-09-08 20:32:35.812210 : Epoch  2, Batch   1386, Loss  0.882797, Average Loss  0.869456, Time  0.407695
2021-09-08 20:32:37.566345 : Epoch  2, Batch   1387, Loss  0.884054, Average Loss  0.869460, Time  0.459451
2021-09-08 20:32:39.217928 : Epoch  2, Batch   1388, Loss  0.858121, Average Loss  0.869511, Time  0.354460
2021-09-08 20:32:40.856825 : Epoch  2, Batch   1389, Loss  0.849552, Average Loss  0.869386, Time  0.353090
2021-09-08 20:37:10.006486 : CheckPoint: Validation Loss  0.00058592, Best Loss  0.00058177
2021-09-08 20:37:11.767480 : Epoch  2, Batch   1390, Loss  0.873886, Average Loss  0.869308, Time  0.462008
2021-09-08 20:37:13.412410 : Epoch  2, Batch   1391, Loss  0.848791, Average Loss  0.869271, Time  0.352546
2021-09-08 20:37:15.053217 : Epoch  2, Batch   1392, Loss  0.862474, Average Loss  0.869255, Time  0.354079
2021-09-08 20:37:16.742480 : Epoch  2, Batch   1393, Loss  0.897378, Average Loss  0.869297, Time  0.405933
2021-09-08 20:37:18.500733 : Epoch  2, Batch   1394, Loss  0.871947, Average Loss  0.869228, Time  0.461119
2021-09-08 20:37:20.124352 : Epoch  2, Batch   1395, Loss  0.872542, Average Loss  0.869175, Time  0.353633
2021-09-08 20:37:21.748131 : Epoch  2, Batch   1396, Loss  0.886518, Average Loss  0.869219, Time  0.353311
2021-09-08 20:37:23.439941 : Epoch  2, Batch   1397, Loss  0.884777, Average Loss  0.869212, Time  0.422570
2021-09-08 20:37:25.172555 : Epoch  2, Batch   1398, Loss  0.839591, Average Loss  0.869022, Time  0.460397
2021-09-08 20:37:26.800455 : Epoch  2, Batch   1399, Loss  0.850982, Average Loss  0.868885, Time  0.354054
2021-09-08 20:37:28.426453 : Epoch  2, Batch   1400, Loss  0.865751, Average Loss  0.868725, Time  0.354609
2021-09-08 20:37:30.114822 : Epoch  2, Batch   1401, Loss  0.880111, Average Loss  0.868847, Time  0.422262
2021-09-08 20:37:31.845558 : Epoch  2, Batch   1402, Loss  0.866292, Average Loss  0.868882, Time  0.459787
2021-09-08 20:37:33.470562 : Epoch  2, Batch   1403, Loss  0.839444, Average Loss  0.868696, Time  0.353467
2021-09-08 20:37:35.101354 : Epoch  2, Batch   1404, Loss  0.896500, Average Loss  0.868806, Time  0.353659
2021-09-08 20:37:36.811875 : Epoch  2, Batch   1405, Loss  0.858089, Average Loss  0.868776, Time  0.419068
2021-09-08 20:37:38.551624 : Epoch  2, Batch   1406, Loss  0.876081, Average Loss  0.868881, Time  0.459469
2021-09-08 20:37:40.190725 : Epoch  2, Batch   1407, Loss  0.860269, Average Loss  0.868940, Time  0.353819
2021-09-08 20:37:41.834837 : Epoch  2, Batch   1408, Loss  0.910038, Average Loss  0.869216, Time  0.356144
2021-09-08 20:37:43.533268 : Epoch  2, Batch   1409, Loss  0.884640, Average Loss  0.869288, Time  0.416334
2021-09-08 20:37:45.280020 : Epoch  2, Batch   1410, Loss  0.871391, Average Loss  0.869241, Time  0.464033
2021-09-08 20:37:46.909387 : Epoch  2, Batch   1411, Loss  0.893685, Average Loss  0.869238, Time  0.354376
2021-09-08 20:37:48.533165 : Epoch  2, Batch   1412, Loss  0.901131, Average Loss  0.869350, Time  0.353040
2021-09-08 20:37:50.217029 : Epoch  2, Batch   1413, Loss  0.873753, Average Loss  0.869228, Time  0.414918
2021-09-08 20:37:51.967972 : Epoch  2, Batch   1414, Loss  0.875628, Average Loss  0.869330, Time  0.462776
2021-09-08 20:37:53.594295 : Epoch  2, Batch   1415, Loss  0.879495, Average Loss  0.869451, Time  0.351139
2021-09-08 20:37:55.214904 : Epoch  2, Batch   1416, Loss  0.897556, Average Loss  0.869803, Time  0.351319
2021-09-08 20:37:56.905804 : Epoch  2, Batch   1417, Loss  0.879171, Average Loss  0.869712, Time  0.413719
2021-09-08 20:37:58.642311 : Epoch  2, Batch   1418, Loss  0.869944, Average Loss  0.869691, Time  0.461101
2021-09-08 20:38:00.264798 : Epoch  2, Batch   1419, Loss  0.860398, Average Loss  0.869650, Time  0.353232
2021-09-08 20:38:01.887913 : Epoch  2, Batch   1420, Loss  0.899830, Average Loss  0.869785, Time  0.353617
2021-09-08 20:38:03.573140 : Epoch  2, Batch   1421, Loss  0.878631, Average Loss  0.869766, Time  0.417529
2021-09-08 20:38:05.311851 : Epoch  2, Batch   1422, Loss  0.880431, Average Loss  0.869892, Time  0.461199
2021-09-08 20:38:06.932309 : Epoch  2, Batch   1423, Loss  0.860106, Average Loss  0.869799, Time  0.352850
2021-09-08 20:38:08.554402 : Epoch  2, Batch   1424, Loss  0.837525, Average Loss  0.869805, Time  0.353088
2021-09-08 20:38:10.247365 : Epoch  2, Batch   1425, Loss  0.845864, Average Loss  0.869645, Time  0.417965
2021-09-08 20:38:11.993074 : Epoch  2, Batch   1426, Loss  0.869916, Average Loss  0.869619, Time  0.458732
2021-09-08 20:38:13.634255 : Epoch  2, Batch   1427, Loss  0.848913, Average Loss  0.869641, Time  0.354212
2021-09-08 20:38:15.275041 : Epoch  2, Batch   1428, Loss  0.871112, Average Loss  0.869661, Time  0.353204
2021-09-08 20:38:16.965404 : Epoch  2, Batch   1429, Loss  0.867016, Average Loss  0.869534, Time  0.421298
2021-09-08 20:38:18.696725 : Epoch  2, Batch   1430, Loss  0.842261, Average Loss  0.869349, Time  0.460045
2021-09-08 20:38:20.315627 : Epoch  2, Batch   1431, Loss  0.856466, Average Loss  0.869307, Time  0.353374
2021-09-08 20:38:21.935304 : Epoch  2, Batch   1432, Loss  0.857953, Average Loss  0.869149, Time  0.353359
2021-09-08 20:38:23.629245 : Epoch  2, Batch   1433, Loss  0.888141, Average Loss  0.869194, Time  0.422607
2021-09-08 20:38:25.360180 : Epoch  2, Batch   1434, Loss  0.841353, Average Loss  0.869057, Time  0.462685
2021-09-08 20:38:26.980507 : Epoch  2, Batch   1435, Loss  0.859721, Average Loss  0.869051, Time  0.353479
2021-09-08 20:38:28.610221 : Epoch  2, Batch   1436, Loss  0.871345, Average Loss  0.869087, Time  0.353834
2021-09-08 20:38:30.314356 : Epoch  2, Batch   1437, Loss  0.884863, Average Loss  0.869121, Time  0.421926
2021-09-08 20:38:32.062014 : Epoch  2, Batch   1438, Loss  0.838698, Average Loss  0.868897, Time  0.460500
2021-09-08 20:38:33.685124 : Epoch  2, Batch   1439, Loss  0.868223, Average Loss  0.868898, Time  0.353967
2021-09-08 20:38:35.311615 : Epoch  2, Batch   1440, Loss  0.867199, Average Loss  0.868862, Time  0.353521
2021-09-08 20:38:36.997038 : Epoch  2, Batch   1441, Loss  0.887604, Average Loss  0.869001, Time  0.420139
2021-09-08 20:38:38.754747 : Epoch  2, Batch   1442, Loss  0.903056, Average Loss  0.869240, Time  0.460483
2021-09-08 20:38:40.400157 : Epoch  2, Batch   1443, Loss  0.885000, Average Loss  0.869250, Time  0.353726
2021-09-08 20:38:42.035890 : Epoch  2, Batch   1444, Loss  0.869229, Average Loss  0.869335, Time  0.353879
2021-09-08 20:38:43.731318 : Epoch  2, Batch   1445, Loss  0.859671, Average Loss  0.869343, Time  0.417721
2021-09-08 20:38:45.469254 : Epoch  2, Batch   1446, Loss  0.815394, Average Loss  0.869044, Time  0.462552
2021-09-08 20:38:47.090900 : Epoch  2, Batch   1447, Loss  0.873793, Average Loss  0.869048, Time  0.354378
2021-09-08 20:38:48.721773 : Epoch  2, Batch   1448, Loss  0.889829, Average Loss  0.869175, Time  0.353391
2021-09-08 20:38:50.411359 : Epoch  2, Batch   1449, Loss  0.857336, Average Loss  0.869018, Time  0.417795
2021-09-08 20:38:52.146247 : Epoch  2, Batch   1450, Loss  0.884554, Average Loss  0.869200, Time  0.460414
2021-09-08 20:38:53.775191 : Epoch  2, Batch   1451, Loss  0.893324, Average Loss  0.869366, Time  0.353764
2021-09-08 20:38:55.419758 : Epoch  2, Batch   1452, Loss  0.884854, Average Loss  0.869443, Time  0.354719
2021-09-08 20:38:57.135096 : Epoch  2, Batch   1453, Loss  0.865172, Average Loss  0.869465, Time  0.417960
2021-09-08 20:38:58.867366 : Epoch  2, Batch   1454, Loss  0.894092, Average Loss  0.869699, Time  0.458033
2021-09-08 20:39:00.500853 : Epoch  2, Batch   1455, Loss  0.869802, Average Loss  0.869705, Time  0.353295
2021-09-08 20:39:02.138021 : Epoch  2, Batch   1456, Loss  0.867175, Average Loss  0.869527, Time  0.354298
2021-09-08 20:39:03.845851 : Epoch  2, Batch   1457, Loss  0.878192, Average Loss  0.869538, Time  0.422186
2021-09-08 20:39:05.576037 : Epoch  2, Batch   1458, Loss  0.840208, Average Loss  0.869283, Time  0.462567
2021-09-08 20:39:07.201766 : Epoch  2, Batch   1459, Loss  0.866302, Average Loss  0.869339, Time  0.353220
2021-09-08 20:39:08.821881 : Epoch  2, Batch   1460, Loss  0.852703, Average Loss  0.869084, Time  0.353782
2021-09-08 20:39:10.525121 : Epoch  2, Batch   1461, Loss  0.892105, Average Loss  0.869168, Time  0.418696
2021-09-08 20:39:12.274799 : Epoch  2, Batch   1462, Loss  0.867202, Average Loss  0.869102, Time  0.458700
2021-09-08 20:39:13.920408 : Epoch  2, Batch   1463, Loss  0.867077, Average Loss  0.869141, Time  0.352679
2021-09-08 20:39:15.545758 : Epoch  2, Batch   1464, Loss  0.871767, Average Loss  0.869225, Time  0.354610
2021-09-08 20:39:17.234102 : Epoch  2, Batch   1465, Loss  0.877086, Average Loss  0.869252, Time  0.421614
2021-09-08 20:39:18.978316 : Epoch  2, Batch   1466, Loss  0.883678, Average Loss  0.869424, Time  0.458805
2021-09-08 20:39:20.617894 : Epoch  2, Batch   1467, Loss  0.875948, Average Loss  0.869433, Time  0.353086
2021-09-08 20:39:22.261539 : Epoch  2, Batch   1468, Loss  0.848739, Average Loss  0.869266, Time  0.353391
2021-09-08 20:39:23.972391 : Epoch  2, Batch   1469, Loss  0.863626, Average Loss  0.869304, Time  0.420794
2021-09-08 20:39:25.727226 : Epoch  2, Batch   1470, Loss  0.873545, Average Loss  0.869166, Time  0.459744
2021-09-08 20:39:27.368858 : Epoch  2, Batch   1471, Loss  0.843214, Average Loss  0.868985, Time  0.353520
2021-09-08 20:39:29.005841 : Epoch  2, Batch   1472, Loss  0.870594, Average Loss  0.868914, Time  0.353942
2021-09-08 20:39:30.703878 : Epoch  2, Batch   1473, Loss  0.867880, Average Loss  0.868840, Time  0.422804
2021-09-08 20:39:32.465253 : Epoch  2, Batch   1474, Loss  0.879245, Average Loss  0.868805, Time  0.460957
2021-09-08 20:39:34.074046 : Epoch  2, Batch   1475, Loss  0.911293, Average Loss  0.868954, Time  0.352284
2021-09-08 20:39:35.740574 : Epoch  2, Batch   1476, Loss  0.862415, Average Loss  0.868969, Time  0.394237
2021-09-08 20:39:37.342374 : Epoch  2, Batch   1477, Loss  0.851906, Average Loss  0.868908, Time  0.352521
2021-09-08 20:39:38.960486 : Epoch  2, Batch   1478, Loss  0.898735, Average Loss  0.869154, Time  0.352123
2021-09-08 20:39:40.530299 : Epoch  2, Batch   1479, Loss  0.867454, Average Loss  0.869072, Time  0.352453
2021-09-08 20:39:42.135779 : Epoch  2, Batch   1480, Loss  0.887250, Average Loss  0.869123, Time  0.352050
2021-09-08 20:39:43.714517 : Epoch  2, Batch   1481, Loss  0.860073, Average Loss  0.869018, Time  0.353613
2021-09-08 20:39:45.333379 : Epoch  2, Batch   1482, Loss  0.853465, Average Loss  0.868941, Time  0.352885
2021-09-08 20:39:46.923497 : Epoch  2, Batch   1483, Loss  0.850907, Average Loss  0.868921, Time  0.350179
2021-09-08 20:39:48.554070 : Epoch  2, Batch   1484, Loss  0.875111, Average Loss  0.869011, Time  0.365722
2021-09-08 20:39:50.146766 : Epoch  2, Batch   1485, Loss  0.905861, Average Loss  0.869225, Time  0.352689
2021-09-08 20:39:51.767109 : Epoch  2, Batch   1486, Loss  0.877702, Average Loss  0.869504, Time  0.352283
2021-09-08 20:39:53.371377 : Epoch  2, Batch   1487, Loss  0.859953, Average Loss  0.869475, Time  0.354593
2021-09-08 20:39:54.992567 : Epoch  2, Batch   1488, Loss  0.842165, Average Loss  0.869195, Time  0.353288
2021-09-08 20:39:56.582474 : Epoch  2, Batch   1489, Loss  0.862512, Average Loss  0.869127, Time  0.352496
2021-09-08 20:44:24.124710 : CheckPoint: Validation Loss  0.00061004, Best Loss  0.00058177
2021-09-08 20:44:25.855057 : Epoch  2, Batch   1490, Loss  0.874943, Average Loss  0.869083, Time  0.435727
2021-09-08 20:44:27.602971 : Epoch  2, Batch   1491, Loss  0.859537, Average Loss  0.869025, Time  0.460042
2021-09-08 20:44:29.241730 : Epoch  2, Batch   1492, Loss  0.839311, Average Loss  0.868935, Time  0.354329
2021-09-08 20:44:30.864693 : Epoch  2, Batch   1493, Loss  0.861313, Average Loss  0.868938, Time  0.352907
2021-09-08 20:44:32.567040 : Epoch  2, Batch   1494, Loss  0.865815, Average Loss  0.868987, Time  0.413428
2021-09-08 20:44:34.323351 : Epoch  2, Batch   1495, Loss  0.872471, Average Loss  0.868910, Time  0.461345
2021-09-08 20:44:35.975438 : Epoch  2, Batch   1496, Loss  0.868063, Average Loss  0.868966, Time  0.353012
2021-09-08 20:44:37.604080 : Epoch  2, Batch   1497, Loss  0.904402, Average Loss  0.869113, Time  0.353740
2021-09-08 20:44:39.295917 : Epoch  2, Batch   1498, Loss  0.904225, Average Loss  0.869361, Time  0.415108
2021-09-08 20:44:41.035331 : Epoch  2, Batch   1499, Loss  0.834592, Average Loss  0.869260, Time  0.460962
2021-09-08 20:44:42.676216 : Epoch  2, Batch   1500, Loss  0.860602, Average Loss  0.869043, Time  0.354002
2021-09-08 20:44:44.322211 : Epoch  2, Batch   1501, Loss  0.860124, Average Loss  0.869080, Time  0.352187
2021-09-08 20:44:46.022645 : Epoch  2, Batch   1502, Loss  0.834630, Average Loss  0.868949, Time  0.410220
2021-09-08 20:44:47.778747 : Epoch  2, Batch   1503, Loss  0.854107, Average Loss  0.868773, Time  0.462731
2021-09-08 20:44:49.410958 : Epoch  2, Batch   1504, Loss  0.864005, Average Loss  0.868787, Time  0.353734
2021-09-08 20:44:51.046881 : Epoch  2, Batch   1505, Loss  0.868913, Average Loss  0.868889, Time  0.353906
2021-09-08 20:44:52.748551 : Epoch  2, Batch   1506, Loss  0.868753, Average Loss  0.868880, Time  0.409626
2021-09-08 20:44:54.497545 : Epoch  2, Batch   1507, Loss  0.882601, Average Loss  0.869007, Time  0.461003
2021-09-08 20:44:56.137155 : Epoch  2, Batch   1508, Loss  0.878486, Average Loss  0.868948, Time  0.353282
2021-09-08 20:44:57.762326 : Epoch  2, Batch   1509, Loss  0.855114, Average Loss  0.869161, Time  0.353330
2021-09-08 20:44:59.446989 : Epoch  2, Batch   1510, Loss  0.863560, Average Loss  0.869231, Time  0.416627
2021-09-08 20:45:01.188376 : Epoch  2, Batch   1511, Loss  0.845402, Average Loss  0.869177, Time  0.462663
2021-09-08 20:45:02.814643 : Epoch  2, Batch   1512, Loss  0.850046, Average Loss  0.869288, Time  0.353696
2021-09-08 20:45:04.463837 : Epoch  2, Batch   1513, Loss  0.867155, Average Loss  0.869227, Time  0.355654
2021-09-08 20:45:06.161903 : Epoch  2, Batch   1514, Loss  0.873764, Average Loss  0.869171, Time  0.412755
2021-09-08 20:45:07.903093 : Epoch  2, Batch   1515, Loss  0.894865, Average Loss  0.869079, Time  0.462045
2021-09-08 20:45:09.551921 : Epoch  2, Batch   1516, Loss  0.874064, Average Loss  0.868978, Time  0.354060
2021-09-08 20:45:11.199095 : Epoch  2, Batch   1517, Loss  0.891063, Average Loss  0.869055, Time  0.353011
2021-09-08 20:45:12.882408 : Epoch  2, Batch   1518, Loss  0.875658, Average Loss  0.868923, Time  0.410154
2021-09-08 20:45:14.620340 : Epoch  2, Batch   1519, Loss  0.855607, Average Loss  0.868950, Time  0.458482
2021-09-08 20:45:16.263288 : Epoch  2, Batch   1520, Loss  0.905645, Average Loss  0.869023, Time  0.353171
2021-09-08 20:45:17.887021 : Epoch  2, Batch   1521, Loss  0.873218, Average Loss  0.869243, Time  0.351778
2021-09-08 20:45:19.577459 : Epoch  2, Batch   1522, Loss  0.863787, Average Loss  0.869135, Time  0.418446
2021-09-08 20:45:21.329844 : Epoch  2, Batch   1523, Loss  0.836557, Average Loss  0.869032, Time  0.458978
2021-09-08 20:45:22.972640 : Epoch  2, Batch   1524, Loss  0.866581, Average Loss  0.869040, Time  0.354622
2021-09-08 20:45:24.622784 : Epoch  2, Batch   1525, Loss  0.892211, Average Loss  0.869012, Time  0.352967
2021-09-08 20:45:26.317769 : Epoch  2, Batch   1526, Loss  0.865882, Average Loss  0.869049, Time  0.416892
2021-09-08 20:45:28.058699 : Epoch  2, Batch   1527, Loss  0.879553, Average Loss  0.869166, Time  0.461571
2021-09-08 20:45:29.681698 : Epoch  2, Batch   1528, Loss  0.860108, Average Loss  0.869120, Time  0.352234
2021-09-08 20:45:31.308065 : Epoch  2, Batch   1529, Loss  0.886799, Average Loss  0.869207, Time  0.352417
2021-09-08 20:45:32.996553 : Epoch  2, Batch   1530, Loss  0.881946, Average Loss  0.869349, Time  0.407393
2021-09-08 20:45:34.726156 : Epoch  2, Batch   1531, Loss  0.894155, Average Loss  0.869398, Time  0.462145
2021-09-08 20:45:36.355185 : Epoch  2, Batch   1532, Loss  0.908623, Average Loss  0.869551, Time  0.352901
2021-09-08 20:45:37.977453 : Epoch  2, Batch   1533, Loss  0.835483, Average Loss  0.869298, Time  0.352944
2021-09-08 20:45:39.655723 : Epoch  2, Batch   1534, Loss  0.866775, Average Loss  0.869433, Time  0.412516
2021-09-08 20:45:41.393815 : Epoch  2, Batch   1535, Loss  0.869881, Average Loss  0.869541, Time  0.463970
2021-09-08 20:45:43.019634 : Epoch  2, Batch   1536, Loss  0.855609, Average Loss  0.869443, Time  0.352589
2021-09-08 20:45:44.645151 : Epoch  2, Batch   1537, Loss  0.855385, Average Loss  0.869285, Time  0.352970
2021-09-08 20:45:46.332890 : Epoch  2, Batch   1538, Loss  0.866269, Average Loss  0.869155, Time  0.411179
2021-09-08 20:45:48.069502 : Epoch  2, Batch   1539, Loss  0.867620, Average Loss  0.869011, Time  0.462770
2021-09-08 20:45:49.698944 : Epoch  2, Batch   1540, Loss  0.878622, Average Loss  0.869106, Time  0.353235
2021-09-08 20:45:51.328448 : Epoch  2, Batch   1541, Loss  0.869072, Average Loss  0.869044, Time  0.352747
2021-09-08 20:45:53.009713 : Epoch  2, Batch   1542, Loss  0.860920, Average Loss  0.869000, Time  0.408048
2021-09-08 20:45:54.744866 : Epoch  2, Batch   1543, Loss  0.854642, Average Loss  0.868949, Time  0.463396
2021-09-08 20:45:56.372626 : Epoch  2, Batch   1544, Loss  0.889705, Average Loss  0.869040, Time  0.352995
2021-09-08 20:45:58.001069 : Epoch  2, Batch   1545, Loss  0.879139, Average Loss  0.868959, Time  0.353948
2021-09-08 20:45:59.681129 : Epoch  2, Batch   1546, Loss  0.886597, Average Loss  0.869159, Time  0.411685
2021-09-08 20:46:01.433053 : Epoch  2, Batch   1547, Loss  0.862846, Average Loss  0.869171, Time  0.460826
2021-09-08 20:46:03.080290 : Epoch  2, Batch   1548, Loss  0.901753, Average Loss  0.869298, Time  0.355350
2021-09-08 20:46:04.720724 : Epoch  2, Batch   1549, Loss  0.896922, Average Loss  0.869626, Time  0.351287
2021-09-08 20:46:06.390066 : Epoch  2, Batch   1550, Loss  0.879940, Average Loss  0.869606, Time  0.415613
2021-09-08 20:46:08.105923 : Epoch  2, Batch   1551, Loss  0.864950, Average Loss  0.869481, Time  0.465761
2021-09-08 20:46:09.714854 : Epoch  2, Batch   1552, Loss  0.879021, Average Loss  0.869506, Time  0.352026
2021-09-08 20:46:11.320725 : Epoch  2, Batch   1553, Loss  0.851175, Average Loss  0.869445, Time  0.355527
2021-09-08 20:46:13.043115 : Epoch  2, Batch   1554, Loss  0.876111, Average Loss  0.869456, Time  0.418210
2021-09-08 20:46:14.782865 : Epoch  2, Batch   1555, Loss  0.861723, Average Loss  0.869507, Time  0.463928
2021-09-08 20:46:16.411899 : Epoch  2, Batch   1556, Loss  0.878235, Average Loss  0.869731, Time  0.352072
2021-09-08 20:46:18.032624 : Epoch  2, Batch   1557, Loss  0.873269, Average Loss  0.869704, Time  0.352970
2021-09-08 20:46:19.717743 : Epoch  2, Batch   1558, Loss  0.832649, Average Loss  0.869666, Time  0.416992
2021-09-08 20:46:21.455792 : Epoch  2, Batch   1559, Loss  0.876130, Average Loss  0.869917, Time  0.460738
2021-09-08 20:46:23.094780 : Epoch  2, Batch   1560, Loss  0.859095, Average Loss  0.869797, Time  0.352073
2021-09-08 20:46:24.736717 : Epoch  2, Batch   1561, Loss  0.916048, Average Loss  0.870161, Time  0.354122
2021-09-08 20:46:26.442389 : Epoch  2, Batch   1562, Loss  0.910799, Average Loss  0.870198, Time  0.418134
2021-09-08 20:46:28.176768 : Epoch  2, Batch   1563, Loss  0.868529, Average Loss  0.870187, Time  0.463919
2021-09-08 20:46:29.808834 : Epoch  2, Batch   1564, Loss  0.875441, Average Loss  0.870331, Time  0.354718
2021-09-08 20:46:31.450015 : Epoch  2, Batch   1565, Loss  0.865467, Average Loss  0.870126, Time  0.354634
2021-09-08 20:46:33.145712 : Epoch  2, Batch   1566, Loss  0.888032, Average Loss  0.870025, Time  0.417055
2021-09-08 20:46:34.885472 : Epoch  2, Batch   1567, Loss  0.859449, Average Loss  0.870051, Time  0.461509
2021-09-08 20:46:36.503901 : Epoch  2, Batch   1568, Loss  0.842769, Average Loss  0.869929, Time  0.352870
2021-09-08 20:46:38.121960 : Epoch  2, Batch   1569, Loss  0.869997, Average Loss  0.869936, Time  0.352593
2021-09-08 20:46:39.817048 : Epoch  2, Batch   1570, Loss  0.858994, Average Loss  0.869933, Time  0.419123
2021-09-08 20:46:41.574422 : Epoch  2, Batch   1571, Loss  0.865935, Average Loss  0.870028, Time  0.459983
2021-09-08 20:46:43.215366 : Epoch  2, Batch   1572, Loss  0.873047, Average Loss  0.869992, Time  0.353372
2021-09-08 20:46:44.849488 : Epoch  2, Batch   1573, Loss  0.854036, Average Loss  0.870001, Time  0.354582
2021-09-08 20:46:46.539717 : Epoch  2, Batch   1574, Loss  0.852115, Average Loss  0.869863, Time  0.419535
2021-09-08 20:46:48.277441 : Epoch  2, Batch   1575, Loss  0.871539, Average Loss  0.870052, Time  0.461455
2021-09-08 20:46:49.899899 : Epoch  2, Batch   1576, Loss  0.858744, Average Loss  0.870096, Time  0.354079
2021-09-08 20:46:51.536938 : Epoch  2, Batch   1577, Loss  0.872553, Average Loss  0.870007, Time  0.353777
2021-09-08 20:46:53.211071 : Epoch  2, Batch   1578, Loss  0.850976, Average Loss  0.869875, Time  0.415216
2021-09-08 20:46:54.907362 : Epoch  2, Batch   1579, Loss  0.859846, Average Loss  0.869862, Time  0.461277
2021-09-08 20:46:56.489866 : Epoch  2, Batch   1580, Loss  0.890302, Average Loss  0.870021, Time  0.351800
2021-09-08 20:46:58.070156 : Epoch  2, Batch   1581, Loss  0.850332, Average Loss  0.870094, Time  0.350899
2021-09-08 20:46:59.713449 : Epoch  2, Batch   1582, Loss  0.878752, Average Loss  0.870135, Time  0.420231
2021-09-08 20:47:01.409151 : Epoch  2, Batch   1583, Loss  0.910583, Average Loss  0.870385, Time  0.464768
2021-09-08 20:47:03.043077 : Epoch  2, Batch   1584, Loss  0.886666, Average Loss  0.870448, Time  0.353713
2021-09-08 20:47:04.665698 : Epoch  2, Batch   1585, Loss  0.880283, Average Loss  0.870416, Time  0.352617
2021-09-08 20:47:06.344849 : Epoch  2, Batch   1586, Loss  0.892363, Average Loss  0.870464, Time  0.407301
2021-09-08 20:47:08.085807 : Epoch  2, Batch   1587, Loss  0.877871, Average Loss  0.870433, Time  0.462716
2021-09-08 20:47:09.702282 : Epoch  2, Batch   1588, Loss  0.834567, Average Loss  0.870315, Time  0.353270
2021-09-08 20:47:11.341485 : Epoch  2, Batch   1589, Loss  0.872801, Average Loss  0.870431, Time  0.353098
2021-09-08 20:51:39.150301 : CheckPoint: Validation Loss  0.00060259, Best Loss  0.00058177
2021-09-08 20:51:40.884890 : Epoch  2, Batch   1590, Loss  0.863458, Average Loss  0.870379, Time  0.450575
2021-09-08 20:51:42.627561 : Epoch  2, Batch   1591, Loss  0.856976, Average Loss  0.870420, Time  0.458749
2021-09-08 20:51:44.249544 : Epoch  2, Batch   1592, Loss  0.844350, Average Loss  0.870329, Time  0.355376
2021-09-08 20:51:45.876379 : Epoch  2, Batch   1593, Loss  0.866084, Average Loss  0.870173, Time  0.354338
2021-09-08 20:51:47.569609 : Epoch  2, Batch   1594, Loss  0.850887, Average Loss  0.870068, Time  0.424007
2021-09-08 20:51:49.294658 : Epoch  2, Batch   1595, Loss  0.863806, Average Loss  0.870024, Time  0.458119
2021-09-08 20:51:50.926378 : Epoch  2, Batch   1596, Loss  0.847598, Average Loss  0.869829, Time  0.353515
2021-09-08 20:51:52.542371 : Epoch  2, Batch   1597, Loss  0.862432, Average Loss  0.869718, Time  0.353832
2021-09-08 20:51:54.226967 : Epoch  2, Batch   1598, Loss  0.862069, Average Loss  0.869830, Time  0.423520
2021-09-08 20:51:55.969001 : Epoch  2, Batch   1599, Loss  0.868571, Average Loss  0.869918, Time  0.462822
2021-09-08 20:51:57.591082 : Epoch  2, Batch   1600, Loss  0.851460, Average Loss  0.869846, Time  0.353861
2021-09-08 20:51:59.223678 : Epoch  2, Batch   1601, Loss  0.844878, Average Loss  0.869670, Time  0.354201
2021-09-08 20:52:00.938459 : Epoch  2, Batch   1602, Loss  0.890684, Average Loss  0.869792, Time  0.417415
2021-09-08 20:52:02.686307 : Epoch  2, Batch   1603, Loss  0.846409, Average Loss  0.869827, Time  0.459582
2021-09-08 20:52:04.305519 : Epoch  2, Batch   1604, Loss  0.860084, Average Loss  0.869645, Time  0.352860
2021-09-08 20:52:05.940927 : Epoch  2, Batch   1605, Loss  0.842649, Average Loss  0.869568, Time  0.354403
2021-09-08 20:52:07.658654 : Epoch  2, Batch   1606, Loss  0.901650, Average Loss  0.869696, Time  0.419965
2021-09-08 20:52:09.424815 : Epoch  2, Batch   1607, Loss  0.898618, Average Loss  0.869887, Time  0.462243
2021-09-08 20:52:11.042633 : Epoch  2, Batch   1608, Loss  0.903090, Average Loss  0.869853, Time  0.353165
2021-09-08 20:52:12.661960 : Epoch  2, Batch   1609, Loss  0.856672, Average Loss  0.869713, Time  0.354852
2021-09-08 20:52:14.350897 : Epoch  2, Batch   1610, Loss  0.859986, Average Loss  0.869656, Time  0.423395
2021-09-08 20:52:16.089776 : Epoch  2, Batch   1611, Loss  0.875324, Average Loss  0.869564, Time  0.460915
2021-09-08 20:52:17.719613 : Epoch  2, Batch   1612, Loss  0.861418, Average Loss  0.869365, Time  0.354429
2021-09-08 20:52:19.360260 : Epoch  2, Batch   1613, Loss  0.846063, Average Loss  0.869227, Time  0.354624
2021-09-08 20:52:21.057957 : Epoch  2, Batch   1614, Loss  0.882156, Average Loss  0.869260, Time  0.419783
2021-09-08 20:52:22.789295 : Epoch  2, Batch   1615, Loss  0.898739, Average Loss  0.869356, Time  0.460043
2021-09-08 20:52:24.409074 : Epoch  2, Batch   1616, Loss  0.887067, Average Loss  0.869303, Time  0.352424
2021-09-08 20:52:26.042923 : Epoch  2, Batch   1617, Loss  0.890620, Average Loss  0.869361, Time  0.354624
2021-09-08 20:52:27.747191 : Epoch  2, Batch   1618, Loss  0.892194, Average Loss  0.869472, Time  0.416723
2021-09-08 20:52:29.495247 : Epoch  2, Batch   1619, Loss  0.900698, Average Loss  0.869673, Time  0.458559
2021-09-08 20:52:31.116404 : Epoch  2, Batch   1620, Loss  0.858683, Average Loss  0.869468, Time  0.353757
2021-09-08 20:52:32.742666 : Epoch  2, Batch   1621, Loss  0.880277, Average Loss  0.869476, Time  0.356349
2021-09-08 20:52:34.445790 : Epoch  2, Batch   1622, Loss  0.837259, Average Loss  0.869260, Time  0.422886
2021-09-08 20:52:36.185018 : Epoch  2, Batch   1623, Loss  0.846085, Average Loss  0.869190, Time  0.459309
2021-09-08 20:52:37.826980 : Epoch  2, Batch   1624, Loss  0.871193, Average Loss  0.869358, Time  0.357356
2021-09-08 20:52:39.468568 : Epoch  2, Batch   1625, Loss  0.851744, Average Loss  0.869388, Time  0.356797
2021-09-08 20:52:41.180415 : Epoch  2, Batch   1626, Loss  0.881532, Average Loss  0.869446, Time  0.421752
2021-09-08 20:52:42.903915 : Epoch  2, Batch   1627, Loss  0.897941, Average Loss  0.869691, Time  0.457567
2021-09-08 20:52:44.530410 : Epoch  2, Batch   1628, Loss  0.855143, Average Loss  0.869611, Time  0.355076
2021-09-08 20:52:46.162341 : Epoch  2, Batch   1629, Loss  0.878663, Average Loss  0.869669, Time  0.355483
2021-09-08 20:52:47.868866 : Epoch  2, Batch   1630, Loss  0.872415, Average Loss  0.869820, Time  0.424653
2021-09-08 20:52:49.596397 : Epoch  2, Batch   1631, Loss  0.895425, Average Loss  0.870015, Time  0.460156
2021-09-08 20:52:51.233051 : Epoch  2, Batch   1632, Loss  0.850368, Average Loss  0.869977, Time  0.355065
2021-09-08 20:52:52.868326 : Epoch  2, Batch   1633, Loss  0.902822, Average Loss  0.870050, Time  0.354209
2021-09-08 20:52:54.573761 : Epoch  2, Batch   1634, Loss  0.873695, Average Loss  0.870212, Time  0.420053
2021-09-08 20:52:56.327270 : Epoch  2, Batch   1635, Loss  0.855954, Average Loss  0.870193, Time  0.460398
2021-09-08 20:52:57.965934 : Epoch  2, Batch   1636, Loss  0.874462, Average Loss  0.870209, Time  0.354653
2021-09-08 20:52:59.604762 : Epoch  2, Batch   1637, Loss  0.884396, Average Loss  0.870206, Time  0.353740
2021-09-08 20:53:01.311049 : Epoch  2, Batch   1638, Loss  0.851962, Average Loss  0.870273, Time  0.418242
2021-09-08 20:53:03.064490 : Epoch  2, Batch   1639, Loss  0.894174, Average Loss  0.870403, Time  0.462867
2021-09-08 20:53:04.682335 : Epoch  2, Batch   1640, Loss  0.878912, Average Loss  0.870461, Time  0.353134
2021-09-08 20:53:06.300232 : Epoch  2, Batch   1641, Loss  0.835042, Average Loss  0.870198, Time  0.353903
2021-09-08 20:53:07.994460 : Epoch  2, Batch   1642, Loss  0.852835, Average Loss  0.869947, Time  0.421218
2021-09-08 20:53:09.728849 : Epoch  2, Batch   1643, Loss  0.855336, Average Loss  0.869799, Time  0.462865
2021-09-08 20:53:11.355106 : Epoch  2, Batch   1644, Loss  0.838835, Average Loss  0.869647, Time  0.352590
2021-09-08 20:53:12.976046 : Epoch  2, Batch   1645, Loss  0.897880, Average Loss  0.869838, Time  0.353239
2021-09-08 20:53:14.664707 : Epoch  2, Batch   1646, Loss  0.860619, Average Loss  0.870064, Time  0.414956
2021-09-08 20:53:16.406125 : Epoch  2, Batch   1647, Loss  0.841841, Average Loss  0.869904, Time  0.462965
2021-09-08 20:53:18.034897 : Epoch  2, Batch   1648, Loss  0.884631, Average Loss  0.869878, Time  0.352829
2021-09-08 20:53:19.654826 : Epoch  2, Batch   1649, Loss  0.838381, Average Loss  0.869784, Time  0.353825
2021-09-08 20:53:21.345789 : Epoch  2, Batch   1650, Loss  0.858932, Average Loss  0.869655, Time  0.416248
2021-09-08 20:53:23.076701 : Epoch  2, Batch   1651, Loss  0.843430, Average Loss  0.869406, Time  0.459728
2021-09-08 20:53:24.708118 : Epoch  2, Batch   1652, Loss  0.908802, Average Loss  0.869526, Time  0.354107
2021-09-08 20:53:26.348035 : Epoch  2, Batch   1653, Loss  0.860746, Average Loss  0.869504, Time  0.353803
2021-09-08 20:53:28.032444 : Epoch  2, Batch   1654, Loss  0.873828, Average Loss  0.869402, Time  0.418288
2021-09-08 20:53:29.764766 : Epoch  2, Batch   1655, Loss  0.870645, Average Loss  0.869406, Time  0.462265
2021-09-08 20:53:31.395949 : Epoch  2, Batch   1656, Loss  0.899160, Average Loss  0.869566, Time  0.354962
2021-09-08 20:53:33.034862 : Epoch  2, Batch   1657, Loss  0.827274, Average Loss  0.869312, Time  0.352796
2021-09-08 20:53:34.728374 : Epoch  2, Batch   1658, Loss  0.829947, Average Loss  0.869261, Time  0.417679
2021-09-08 20:53:36.465710 : Epoch  2, Batch   1659, Loss  0.880518, Average Loss  0.869332, Time  0.460700
2021-09-08 20:53:38.090364 : Epoch  2, Batch   1660, Loss  0.896966, Average Loss  0.869553, Time  0.353696
2021-09-08 20:53:39.714952 : Epoch  2, Batch   1661, Loss  0.821102, Average Loss  0.869198, Time  0.353490
2021-09-08 20:53:41.399648 : Epoch  2, Batch   1662, Loss  0.877588, Average Loss  0.869250, Time  0.415823
2021-09-08 20:53:43.124939 : Epoch  2, Batch   1663, Loss  0.899695, Average Loss  0.869413, Time  0.461287
2021-09-08 20:53:44.774791 : Epoch  2, Batch   1664, Loss  0.869203, Average Loss  0.869400, Time  0.354271
2021-09-08 20:53:46.416776 : Epoch  2, Batch   1665, Loss  0.880885, Average Loss  0.869419, Time  0.352751
2021-09-08 20:53:48.119647 : Epoch  2, Batch   1666, Loss  0.863533, Average Loss  0.869318, Time  0.414133
2021-09-08 20:53:49.866257 : Epoch  2, Batch   1667, Loss  0.847460, Average Loss  0.869176, Time  0.458973
2021-09-08 20:53:51.511633 : Epoch  2, Batch   1668, Loss  0.869599, Average Loss  0.869280, Time  0.356121
2021-09-08 20:53:53.154452 : Epoch  2, Batch   1669, Loss  0.874111, Average Loss  0.869333, Time  0.354041
2021-09-08 20:53:54.879917 : Epoch  2, Batch   1670, Loss  0.862161, Average Loss  0.869276, Time  0.413908
2021-09-08 20:53:56.631155 : Epoch  2, Batch   1671, Loss  0.844374, Average Loss  0.869282, Time  0.463033
2021-09-08 20:53:58.256612 : Epoch  2, Batch   1672, Loss  0.859925, Average Loss  0.869228, Time  0.353646
2021-09-08 20:53:59.904794 : Epoch  2, Batch   1673, Loss  0.859506, Average Loss  0.869186, Time  0.354470
2021-09-08 20:54:01.614788 : Epoch  2, Batch   1674, Loss  0.867707, Average Loss  0.869129, Time  0.410282
2021-09-08 20:54:03.368722 : Epoch  2, Batch   1675, Loss  0.882227, Average Loss  0.868983, Time  0.461615
2021-09-08 20:54:05.001729 : Epoch  2, Batch   1676, Loss  0.857185, Average Loss  0.868957, Time  0.353279
2021-09-08 20:54:06.631685 : Epoch  2, Batch   1677, Loss  0.899239, Average Loss  0.869194, Time  0.352441
2021-09-08 20:54:08.319632 : Epoch  2, Batch   1678, Loss  0.875901, Average Loss  0.869080, Time  0.412782
2021-09-08 20:54:10.064997 : Epoch  2, Batch   1679, Loss  0.864520, Average Loss  0.869065, Time  0.457990
2021-09-08 20:54:11.700660 : Epoch  2, Batch   1680, Loss  0.880352, Average Loss  0.869030, Time  0.354937
2021-09-08 20:54:13.342413 : Epoch  2, Batch   1681, Loss  0.827912, Average Loss  0.868870, Time  0.353667
2021-09-08 20:54:15.022452 : Epoch  2, Batch   1682, Loss  0.853450, Average Loss  0.868870, Time  0.410607
2021-09-08 20:54:16.760120 : Epoch  2, Batch   1683, Loss  0.871898, Average Loss  0.868975, Time  0.459934
2021-09-08 20:54:18.406656 : Epoch  2, Batch   1684, Loss  0.878096, Average Loss  0.868989, Time  0.354177
2021-09-08 20:54:20.033028 : Epoch  2, Batch   1685, Loss  0.875081, Average Loss  0.868836, Time  0.351607
2021-09-08 20:54:21.697553 : Epoch  2, Batch   1686, Loss  0.887858, Average Loss  0.868886, Time  0.416913
2021-09-08 20:54:23.434801 : Epoch  2, Batch   1687, Loss  0.863974, Average Loss  0.868906, Time  0.461071
2021-09-08 20:54:25.068173 : Epoch  2, Batch   1688, Loss  0.889518, Average Loss  0.869143, Time  0.352930
2021-09-08 20:54:26.712296 : Epoch  2, Batch   1689, Loss  0.877276, Average Loss  0.869217, Time  0.353824
2021-09-08 20:58:55.186554 : CheckPoint: Validation Loss  0.00060279, Best Loss  0.00058177
2021-09-08 20:58:56.822103 : Epoch  2, Batch   1690, Loss  0.881671, Average Loss  0.869251, Time  0.353949
2021-09-08 20:58:58.468697 : Epoch  2, Batch   1691, Loss  0.903038, Average Loss  0.869468, Time  0.381775
2021-09-08 20:59:00.203909 : Epoch  2, Batch   1692, Loss  0.872809, Average Loss  0.869636, Time  0.464413
2021-09-08 20:59:01.824811 : Epoch  2, Batch   1693, Loss  0.875279, Average Loss  0.869706, Time  0.353662
2021-09-08 20:59:03.444260 : Epoch  2, Batch   1694, Loss  0.877461, Average Loss  0.869764, Time  0.352503
2021-09-08 20:59:05.133634 : Epoch  2, Batch   1695, Loss  0.870388, Average Loss  0.869753, Time  0.418738
2021-09-08 20:59:06.879622 : Epoch  2, Batch   1696, Loss  0.871720, Average Loss  0.869772, Time  0.462915
2021-09-08 20:59:08.500080 : Epoch  2, Batch   1697, Loss  0.891775, Average Loss  0.869708, Time  0.353027
2021-09-08 20:59:10.139390 : Epoch  2, Batch   1698, Loss  0.889134, Average Loss  0.869633, Time  0.353730
2021-09-08 20:59:11.845708 : Epoch  2, Batch   1699, Loss  0.922833, Average Loss  0.870074, Time  0.419543
2021-09-08 20:59:13.593392 : Epoch  2, Batch   1700, Loss  0.855401, Average Loss  0.870048, Time  0.461056
2021-09-08 20:59:15.238579 : Epoch  2, Batch   1701, Loss  0.859996, Average Loss  0.870048, Time  0.353740
2021-09-08 20:59:16.868196 : Epoch  2, Batch   1702, Loss  0.856682, Average Loss  0.870158, Time  0.351310
2021-09-08 20:59:18.561257 : Epoch  2, Batch   1703, Loss  0.893864, Average Loss  0.870357, Time  0.417433
2021-09-08 20:59:20.307084 : Epoch  2, Batch   1704, Loss  0.884761, Average Loss  0.870460, Time  0.460024
2021-09-08 20:59:21.952707 : Epoch  2, Batch   1705, Loss  0.865101, Average Loss  0.870441, Time  0.355481
2021-09-08 20:59:23.598404 : Epoch  2, Batch   1706, Loss  0.865893, Average Loss  0.870427, Time  0.355113
2021-09-08 20:59:25.304361 : Epoch  2, Batch   1707, Loss  0.851668, Average Loss  0.870272, Time  0.419905
2021-09-08 20:59:27.054144 : Epoch  2, Batch   1708, Loss  0.863946, Average Loss  0.870200, Time  0.458040
2021-09-08 20:59:28.692062 : Epoch  2, Batch   1709, Loss  0.845630, Average Loss  0.870152, Time  0.355164
2021-09-08 20:59:30.334339 : Epoch  2, Batch   1710, Loss  0.860935, Average Loss  0.870139, Time  0.355023
2021-09-08 20:59:32.038051 : Epoch  2, Batch   1711, Loss  0.855825, Average Loss  0.870191, Time  0.419909
2021-09-08 20:59:33.783931 : Epoch  2, Batch   1712, Loss  0.856176, Average Loss  0.870222, Time  0.461035
2021-09-08 20:59:35.431450 : Epoch  2, Batch   1713, Loss  0.857111, Average Loss  0.870172, Time  0.354537
2021-09-08 20:59:37.049899 : Epoch  2, Batch   1714, Loss  0.875019, Average Loss  0.870178, Time  0.354508
2021-09-08 20:59:38.709955 : Epoch  2, Batch   1715, Loss  0.868686, Average Loss  0.870047, Time  0.423919
2021-09-08 20:59:40.430477 : Epoch  2, Batch   1716, Loss  0.873763, Average Loss  0.870046, Time  0.459694
2021-09-08 20:59:42.054819 : Epoch  2, Batch   1717, Loss  0.886461, Average Loss  0.870023, Time  0.354619
2021-09-08 20:59:43.690749 : Epoch  2, Batch   1718, Loss  0.884375, Average Loss  0.870066, Time  0.354126
2021-09-08 20:59:45.398442 : Epoch  2, Batch   1719, Loss  0.873277, Average Loss  0.870154, Time  0.419609
2021-09-08 20:59:47.140614 : Epoch  2, Batch   1720, Loss  0.885391, Average Loss  0.870053, Time  0.461240
2021-09-08 20:59:48.765808 : Epoch  2, Batch   1721, Loss  0.906762, Average Loss  0.870221, Time  0.353634
2021-09-08 20:59:50.388846 : Epoch  2, Batch   1722, Loss  0.862778, Average Loss  0.870216, Time  0.352909
2021-09-08 20:59:52.090095 : Epoch  2, Batch   1723, Loss  0.878326, Average Loss  0.870425, Time  0.413722
2021-09-08 20:59:53.837157 : Epoch  2, Batch   1724, Loss  0.846241, Average Loss  0.870323, Time  0.459168
2021-09-08 20:59:55.480857 : Epoch  2, Batch   1725, Loss  0.876081, Average Loss  0.870242, Time  0.355109
2021-09-08 20:59:57.125210 : Epoch  2, Batch   1726, Loss  0.906240, Average Loss  0.870444, Time  0.354677
2021-09-08 20:59:58.832352 : Epoch  2, Batch   1727, Loss  0.836799, Average Loss  0.870230, Time  0.420287
2021-09-08 21:00:00.569734 : Epoch  2, Batch   1728, Loss  0.834289, Average Loss  0.870101, Time  0.460665
2021-09-08 21:00:02.203285 : Epoch  2, Batch   1729, Loss  0.874270, Average Loss  0.870039, Time  0.353148
2021-09-08 21:00:03.830228 : Epoch  2, Batch   1730, Loss  0.883433, Average Loss  0.870046, Time  0.352127
2021-09-08 21:00:05.535034 : Epoch  2, Batch   1731, Loss  0.873981, Average Loss  0.869945, Time  0.418755
2021-09-08 21:00:07.287024 : Epoch  2, Batch   1732, Loss  0.832008, Average Loss  0.869562, Time  0.461070
2021-09-08 21:00:08.925248 : Epoch  2, Batch   1733, Loss  0.859819, Average Loss  0.869684, Time  0.353941
2021-09-08 21:00:10.569494 : Epoch  2, Batch   1734, Loss  0.888483, Average Loss  0.869792, Time  0.354281
2021-09-08 21:00:12.275274 : Epoch  2, Batch   1735, Loss  0.861573, Average Loss  0.869751, Time  0.412781
2021-09-08 21:00:14.030636 : Epoch  2, Batch   1736, Loss  0.868347, Average Loss  0.869815, Time  0.459513
2021-09-08 21:00:15.659103 : Epoch  2, Batch   1737, Loss  0.829941, Average Loss  0.869687, Time  0.352443
2021-09-08 21:00:17.301337 : Epoch  2, Batch   1738, Loss  0.870485, Average Loss  0.869708, Time  0.353142
2021-09-08 21:00:18.992119 : Epoch  2, Batch   1739, Loss  0.860913, Average Loss  0.869675, Time  0.417173
2021-09-08 21:00:20.754208 : Epoch  2, Batch   1740, Loss  0.892264, Average Loss  0.869743, Time  0.462459
2021-09-08 21:00:22.401887 : Epoch  2, Batch   1741, Loss  0.821988, Average Loss  0.869508, Time  0.354714
2021-09-08 21:00:24.046232 : Epoch  2, Batch   1742, Loss  0.846008, Average Loss  0.869433, Time  0.353158
2021-09-08 21:00:25.752238 : Epoch  2, Batch   1743, Loss  0.889670, Average Loss  0.869608, Time  0.414037
2021-09-08 21:00:27.483930 : Epoch  2, Batch   1744, Loss  0.891231, Average Loss  0.869616, Time  0.461552
2021-09-08 21:00:29.111339 : Epoch  2, Batch   1745, Loss  0.871354, Average Loss  0.869577, Time  0.353182
2021-09-08 21:00:30.735413 : Epoch  2, Batch   1746, Loss  0.857614, Average Loss  0.869432, Time  0.353444
2021-09-08 21:00:32.428268 : Epoch  2, Batch   1747, Loss  0.888652, Average Loss  0.869561, Time  0.416932
2021-09-08 21:00:34.169983 : Epoch  2, Batch   1748, Loss  0.894867, Average Loss  0.869527, Time  0.458601
2021-09-08 21:00:35.817638 : Epoch  2, Batch   1749, Loss  0.855936, Average Loss  0.869322, Time  0.354273
2021-09-08 21:00:37.462392 : Epoch  2, Batch   1750, Loss  0.877943, Average Loss  0.869312, Time  0.355317
2021-09-08 21:00:39.167720 : Epoch  2, Batch   1751, Loss  0.856032, Average Loss  0.869267, Time  0.417847
2021-09-08 21:00:40.912793 : Epoch  2, Batch   1752, Loss  0.860584, Average Loss  0.869175, Time  0.457374
2021-09-08 21:00:42.571506 : Epoch  2, Batch   1753, Loss  0.857043, Average Loss  0.869204, Time  0.355466
2021-09-08 21:00:44.214401 : Epoch  2, Batch   1754, Loss  0.848063, Average Loss  0.869064, Time  0.355089
2021-09-08 21:00:45.910972 : Epoch  2, Batch   1755, Loss  0.865986, Average Loss  0.869085, Time  0.419419
2021-09-08 21:00:47.642218 : Epoch  2, Batch   1756, Loss  0.848378, Average Loss  0.868936, Time  0.460006
2021-09-08 21:00:49.270036 : Epoch  2, Batch   1757, Loss  0.848379, Average Loss  0.868812, Time  0.354442
2021-09-08 21:00:50.901029 : Epoch  2, Batch   1758, Loss  0.873709, Average Loss  0.869017, Time  0.353954
2021-09-08 21:00:52.582006 : Epoch  2, Batch   1759, Loss  0.872856, Average Loss  0.869001, Time  0.415124
2021-09-08 21:00:54.327174 : Epoch  2, Batch   1760, Loss  0.841349, Average Loss  0.868912, Time  0.458773
2021-09-08 21:00:55.957924 : Epoch  2, Batch   1761, Loss  0.867879, Average Loss  0.868671, Time  0.353201
2021-09-08 21:00:57.577139 : Epoch  2, Batch   1762, Loss  0.854382, Average Loss  0.868389, Time  0.353410
2021-09-08 21:00:59.264319 : Epoch  2, Batch   1763, Loss  0.898002, Average Loss  0.868536, Time  0.419705
2021-09-08 21:01:01.001736 : Epoch  2, Batch   1764, Loss  0.870093, Average Loss  0.868510, Time  0.461672
2021-09-08 21:01:02.627932 : Epoch  2, Batch   1765, Loss  0.861263, Average Loss  0.868488, Time  0.354731
2021-09-08 21:01:04.272209 : Epoch  2, Batch   1766, Loss  0.901996, Average Loss  0.868558, Time  0.352437
2021-09-08 21:01:05.974643 : Epoch  2, Batch   1767, Loss  0.894321, Average Loss  0.868733, Time  0.411223
2021-09-08 21:01:07.710763 : Epoch  2, Batch   1768, Loss  0.887736, Average Loss  0.868958, Time  0.458278
2021-09-08 21:01:09.355490 : Epoch  2, Batch   1769, Loss  0.895833, Average Loss  0.869087, Time  0.355061
2021-09-08 21:01:10.990533 : Epoch  2, Batch   1770, Loss  0.887741, Average Loss  0.869230, Time  0.353034
2021-09-08 21:01:12.680357 : Epoch  2, Batch   1771, Loss  0.865351, Average Loss  0.869227, Time  0.419827
2021-09-08 21:01:14.411643 : Epoch  2, Batch   1772, Loss  0.853846, Average Loss  0.869131, Time  0.460284
2021-09-08 21:01:16.039814 : Epoch  2, Batch   1773, Loss  0.863963, Average Loss  0.869181, Time  0.353990
2021-09-08 21:01:17.659880 : Epoch  2, Batch   1774, Loss  0.868789, Average Loss  0.869265, Time  0.353084
2021-09-08 21:01:19.363671 : Epoch  2, Batch   1775, Loss  0.850090, Average Loss  0.869157, Time  0.416356
2021-09-08 21:01:21.115465 : Epoch  2, Batch   1776, Loss  0.866136, Average Loss  0.869194, Time  0.457797
2021-09-08 21:01:22.759012 : Epoch  2, Batch   1777, Loss  0.897996, Average Loss  0.869321, Time  0.353253
2021-09-08 21:01:24.392575 : Epoch  2, Batch   1778, Loss  0.877303, Average Loss  0.869453, Time  0.353036
2021-09-08 21:01:26.084054 : Epoch  2, Batch   1779, Loss  0.880873, Average Loss  0.869558, Time  0.421403
2021-09-08 21:01:27.824416 : Epoch  2, Batch   1780, Loss  0.876606, Average Loss  0.869490, Time  0.460380
2021-09-08 21:01:29.455367 : Epoch  2, Batch   1781, Loss  0.878464, Average Loss  0.869630, Time  0.353805
2021-09-08 21:01:31.109969 : Epoch  2, Batch   1782, Loss  0.894864, Average Loss  0.869711, Time  0.353740
2021-09-08 21:01:32.800969 : Epoch  2, Batch   1783, Loss  0.868125, Average Loss  0.869499, Time  0.413585
2021-09-08 21:01:34.535542 : Epoch  2, Batch   1784, Loss  0.869173, Average Loss  0.869411, Time  0.457459
2021-09-08 21:01:36.180345 : Epoch  2, Batch   1785, Loss  0.873682, Average Loss  0.869378, Time  0.354116
2021-09-08 21:01:37.811255 : Epoch  2, Batch   1786, Loss  0.860467, Average Loss  0.869219, Time  0.352539
2021-09-08 21:01:39.500943 : Epoch  2, Batch   1787, Loss  0.868809, Average Loss  0.869173, Time  0.417295
2021-09-08 21:01:41.241754 : Epoch  2, Batch   1788, Loss  0.854891, Average Loss  0.869275, Time  0.460777
2021-09-08 21:01:42.867711 : Epoch  2, Batch   1789, Loss  0.873302, Average Loss  0.869278, Time  0.353650
2021-09-08 21:06:11.642689 : CheckPoint: Validation Loss  0.00061246, Best Loss  0.00058177
2021-09-08 21:06:13.284443 : Epoch  2, Batch   1790, Loss  0.869213, Average Loss  0.869306, Time  0.353477
2021-09-08 21:06:15.029466 : Epoch  2, Batch   1791, Loss  0.854351, Average Loss  0.869293, Time  0.461300
2021-09-08 21:06:16.658313 : Epoch  2, Batch   1792, Loss  0.859162, Average Loss  0.869367, Time  0.353184
2021-09-08 21:06:18.285266 : Epoch  2, Batch   1793, Loss  0.859578, Average Loss  0.869335, Time  0.353616
2021-09-08 21:06:19.974097 : Epoch  2, Batch   1794, Loss  0.873382, Average Loss  0.869447, Time  0.408969
2021-09-08 21:06:21.712982 : Epoch  2, Batch   1795, Loss  0.884547, Average Loss  0.869551, Time  0.462510
2021-09-08 21:06:23.339680 : Epoch  2, Batch   1796, Loss  0.865407, Average Loss  0.869640, Time  0.354027
2021-09-08 21:06:24.958735 : Epoch  2, Batch   1797, Loss  0.873297, Average Loss  0.869694, Time  0.352370
2021-09-08 21:06:26.650119 : Epoch  2, Batch   1798, Loss  0.886570, Average Loss  0.869817, Time  0.410479
2021-09-08 21:06:28.382812 : Epoch  2, Batch   1799, Loss  0.879002, Average Loss  0.869869, Time  0.461705
2021-09-08 21:06:30.009350 : Epoch  2, Batch   1800, Loss  0.852718, Average Loss  0.869875, Time  0.353125
2021-09-08 21:06:31.634939 : Epoch  2, Batch   1801, Loss  0.866107, Average Loss  0.869981, Time  0.352601
2021-09-08 21:06:33.320909 : Epoch  2, Batch   1802, Loss  0.854005, Average Loss  0.869798, Time  0.416777
2021-09-08 21:06:35.059040 : Epoch  2, Batch   1803, Loss  0.891915, Average Loss  0.870025, Time  0.458577
2021-09-08 21:06:36.704343 : Epoch  2, Batch   1804, Loss  0.893954, Average Loss  0.870195, Time  0.353364
2021-09-08 21:06:38.330755 : Epoch  2, Batch   1805, Loss  0.868315, Average Loss  0.870323, Time  0.353246
2021-09-08 21:06:40.020210 : Epoch  2, Batch   1806, Loss  0.895135, Average Loss  0.870291, Time  0.415064
2021-09-08 21:06:41.758145 : Epoch  2, Batch   1807, Loss  0.889610, Average Loss  0.870246, Time  0.462024
2021-09-08 21:06:43.393965 : Epoch  2, Batch   1808, Loss  0.869713, Average Loss  0.870079, Time  0.354866
2021-09-08 21:06:45.064852 : Epoch  2, Batch   1809, Loss  0.887500, Average Loss  0.870233, Time  0.353614
2021-09-08 21:06:46.753231 : Epoch  2, Batch   1810, Loss  0.874560, Average Loss  0.870306, Time  0.408063
2021-09-08 21:06:48.487977 : Epoch  2, Batch   1811, Loss  0.871566, Average Loss  0.870287, Time  0.461689
2021-09-08 21:06:50.121926 : Epoch  2, Batch   1812, Loss  0.868295, Average Loss  0.870321, Time  0.354268
2021-09-08 21:06:51.755158 : Epoch  2, Batch   1813, Loss  0.861163, Average Loss  0.870397, Time  0.353894
2021-09-08 21:06:53.442380 : Epoch  2, Batch   1814, Loss  0.871167, Average Loss  0.870342, Time  0.414726
2021-09-08 21:06:55.190435 : Epoch  2, Batch   1815, Loss  0.858225, Average Loss  0.870139, Time  0.458183
2021-09-08 21:06:56.843361 : Epoch  2, Batch   1816, Loss  0.852538, Average Loss  0.869967, Time  0.355548
2021-09-08 21:06:58.491197 : Epoch  2, Batch   1817, Loss  0.854917, Average Loss  0.869788, Time  0.354002
2021-09-08 21:07:00.207682 : Epoch  2, Batch   1818, Loss  0.864466, Average Loss  0.869649, Time  0.422733
2021-09-08 21:07:01.954865 : Epoch  2, Batch   1819, Loss  0.888233, Average Loss  0.869587, Time  0.456714
2021-09-08 21:07:03.607213 : Epoch  2, Batch   1820, Loss  0.887251, Average Loss  0.869730, Time  0.353946
2021-09-08 21:07:05.228280 : Epoch  2, Batch   1821, Loss  0.856105, Average Loss  0.869609, Time  0.353785
2021-09-08 21:07:06.917769 : Epoch  2, Batch   1822, Loss  0.908286, Average Loss  0.869964, Time  0.416975
2021-09-08 21:07:08.654639 : Epoch  2, Batch   1823, Loss  0.863947, Average Loss  0.870054, Time  0.465431
2021-09-08 21:07:10.286403 : Epoch  2, Batch   1824, Loss  0.867159, Average Loss  0.870033, Time  0.353359
2021-09-08 21:07:11.908668 : Epoch  2, Batch   1825, Loss  0.837099, Average Loss  0.869960, Time  0.353892
2021-09-08 21:07:13.611154 : Epoch  2, Batch   1826, Loss  0.862698, Average Loss  0.869866, Time  0.412363
2021-09-08 21:07:15.363113 : Epoch  2, Batch   1827, Loss  0.867815, Average Loss  0.869715, Time  0.460899
2021-09-08 21:07:16.997754 : Epoch  2, Batch   1828, Loss  0.897072, Average Loss  0.869925, Time  0.353545
2021-09-08 21:07:18.628083 : Epoch  2, Batch   1829, Loss  0.860258, Average Loss  0.869833, Time  0.354526
2021-09-08 21:07:20.321914 : Epoch  2, Batch   1830, Loss  0.893521, Average Loss  0.869939, Time  0.408037
2021-09-08 21:07:22.070277 : Epoch  2, Batch   1831, Loss  0.862931, Average Loss  0.869776, Time  0.454988
2021-09-08 21:07:23.719847 : Epoch  2, Batch   1832, Loss  0.899832, Average Loss  0.870023, Time  0.353863
2021-09-08 21:07:25.345190 : Epoch  2, Batch   1833, Loss  0.886295, Average Loss  0.869941, Time  0.352287
2021-09-08 21:07:27.035050 : Epoch  2, Batch   1834, Loss  0.859797, Average Loss  0.869871, Time  0.415991
2021-09-08 21:07:28.764111 : Epoch  2, Batch   1835, Loss  0.887525, Average Loss  0.870029, Time  0.458281
2021-09-08 21:07:30.448196 : Epoch  2, Batch   1836, Loss  0.880224, Average Loss  0.870058, Time  0.387740
2021-09-08 21:07:32.098366 : Epoch  2, Batch   1837, Loss  0.877007, Average Loss  0.870021, Time  0.388096
2021-09-08 21:07:33.789309 : Epoch  2, Batch   1838, Loss  0.850408, Average Loss  0.870013, Time  0.426308
2021-09-08 21:07:35.569303 : Epoch  2, Batch   1839, Loss  0.886338, Average Loss  0.869974, Time  0.494808
2021-09-08 21:07:37.344015 : Epoch  2, Batch   1840, Loss  0.880015, Average Loss  0.869980, Time  0.484409
2021-09-08 21:07:39.019535 : Epoch  2, Batch   1841, Loss  0.910599, Average Loss  0.870357, Time  0.389632
2021-09-08 21:07:40.734160 : Epoch  2, Batch   1842, Loss  0.883265, Average Loss  0.870509, Time  0.395488
2021-09-08 21:07:42.513008 : Epoch  2, Batch   1843, Loss  0.833679, Average Loss  0.870401, Time  0.429979
2021-09-08 21:07:44.341942 : Epoch  2, Batch   1844, Loss  0.872038, Average Loss  0.870567, Time  0.527128
2021-09-08 21:07:46.189918 : Epoch  2, Batch   1845, Loss  0.855006, Average Loss  0.870353, Time  0.514319
2021-09-08 21:07:48.046131 : Epoch  2, Batch   1846, Loss  0.867531, Average Loss  0.870387, Time  0.492290
2021-09-08 21:07:49.825285 : Epoch  2, Batch   1847, Loss  0.887084, Average Loss  0.870614, Time  0.437600
2021-09-08 21:07:51.536190 : Epoch  2, Batch   1848, Loss  0.856262, Average Loss  0.870472, Time  0.389330
2021-09-08 21:07:53.284315 : Epoch  2, Batch   1849, Loss  0.849822, Average Loss  0.870529, Time  0.387721
2021-09-08 21:07:55.054205 : Epoch  2, Batch   1850, Loss  0.892391, Average Loss  0.870696, Time  0.397051
2021-09-08 21:07:56.912178 : Epoch  2, Batch   1851, Loss  0.841497, Average Loss  0.870687, Time  0.492943
2021-09-08 21:07:58.779842 : Epoch  2, Batch   1852, Loss  0.868485, Average Loss  0.870485, Time  0.493753
2021-09-08 21:08:00.640618 : Epoch  2, Batch   1853, Loss  0.867113, Average Loss  0.870517, Time  0.487782
2021-09-08 21:08:02.556159 : Epoch  2, Batch   1854, Loss  0.858565, Average Loss  0.870440, Time  0.484374
2021-09-08 21:08:04.322691 : Epoch  2, Batch   1855, Loss  0.849706, Average Loss  0.870336, Time  0.380073
2021-09-08 21:08:06.057462 : Epoch  2, Batch   1856, Loss  0.878419, Average Loss  0.870232, Time  0.388202
2021-09-08 21:08:07.817471 : Epoch  2, Batch   1857, Loss  0.862122, Average Loss  0.870406, Time  0.389603
2021-09-08 21:08:09.635182 : Epoch  2, Batch   1858, Loss  0.881210, Average Loss  0.870663, Time  0.475439
2021-09-08 21:08:11.437495 : Epoch  2, Batch   1859, Loss  0.873876, Average Loss  0.870629, Time  0.467762
2021-09-08 21:08:13.278901 : Epoch  2, Batch   1860, Loss  0.884743, Average Loss  0.870568, Time  0.493209
2021-09-08 21:08:15.104242 : Epoch  2, Batch   1861, Loss  0.882205, Average Loss  0.870874, Time  0.457928
2021-09-08 21:08:16.827854 : Epoch  2, Batch   1862, Loss  0.891246, Average Loss  0.870942, Time  0.387750
2021-09-08 21:08:18.545768 : Epoch  2, Batch   1863, Loss  0.858633, Average Loss  0.870737, Time  0.389278
2021-09-08 21:08:20.300445 : Epoch  2, Batch   1864, Loss  0.874776, Average Loss  0.870765, Time  0.393712
2021-09-08 21:08:22.117976 : Epoch  2, Batch   1865, Loss  0.868507, Average Loss  0.870703, Time  0.494084
2021-09-08 21:08:23.921453 : Epoch  2, Batch   1866, Loss  0.853984, Average Loss  0.870655, Time  0.487288
2021-09-08 21:08:25.587106 : Epoch  2, Batch   1867, Loss  0.853183, Average Loss  0.870684, Time  0.386625
2021-09-08 21:08:27.257763 : Epoch  2, Batch   1868, Loss  0.853090, Average Loss  0.870601, Time  0.383293
2021-09-08 21:08:28.959846 : Epoch  2, Batch   1869, Loss  0.866930, Average Loss  0.870565, Time  0.439646
2021-09-08 21:08:30.693837 : Epoch  2, Batch   1870, Loss  0.861311, Average Loss  0.870561, Time  0.481812
2021-09-08 21:08:32.326998 : Epoch  2, Batch   1871, Loss  0.865630, Average Loss  0.870667, Time  0.354510
2021-09-08 21:08:33.920733 : Epoch  2, Batch   1872, Loss  0.846768, Average Loss  0.870601, Time  0.355790
2021-09-08 21:08:35.642552 : Epoch  2, Batch   1873, Loss  0.902266, Average Loss  0.870815, Time  0.418601
2021-09-08 21:08:37.412526 : Epoch  2, Batch   1874, Loss  0.862003, Average Loss  0.870787, Time  0.462723
2021-09-08 21:08:39.065164 : Epoch  2, Batch   1875, Loss  0.903725, Average Loss  0.870894, Time  0.355139
2021-09-08 21:08:40.725167 : Epoch  2, Batch   1876, Loss  0.882298, Average Loss  0.871020, Time  0.354267
2021-09-08 21:08:42.452183 : Epoch  2, Batch   1877, Loss  0.864589, Average Loss  0.870847, Time  0.381467
2021-09-08 21:08:44.256614 : Epoch  2, Batch   1878, Loss  0.844424, Average Loss  0.870689, Time  0.465569
2021-09-08 21:08:46.011337 : Epoch  2, Batch   1879, Loss  0.881717, Average Loss  0.870775, Time  0.419775
2021-09-08 21:08:47.723290 : Epoch  2, Batch   1880, Loss  0.855015, Average Loss  0.870648, Time  0.358226
2021-09-08 21:08:49.586045 : Epoch  2, Batch   1881, Loss  0.862807, Average Loss  0.870823, Time  0.380328
2021-09-08 21:08:51.386449 : Epoch  2, Batch   1882, Loss  0.860713, Average Loss  0.870859, Time  0.373245
2021-09-08 21:08:53.234967 : Epoch  2, Batch   1883, Loss  0.877726, Average Loss  0.870888, Time  0.495303
2021-09-08 21:08:55.047072 : Epoch  2, Batch   1884, Loss  0.867754, Average Loss  0.870837, Time  0.455248
2021-09-08 21:08:56.735043 : Epoch  2, Batch   1885, Loss  0.901362, Average Loss  0.870968, Time  0.354362
2021-09-08 21:08:58.418145 : Epoch  2, Batch   1886, Loss  0.852530, Average Loss  0.870791, Time  0.351629
2021-09-08 21:09:00.145686 : Epoch  2, Batch   1887, Loss  0.886291, Average Loss  0.870903, Time  0.392484
2021-09-08 21:09:01.940945 : Epoch  2, Batch   1888, Loss  0.849028, Average Loss  0.870701, Time  0.460080
2021-09-08 21:09:03.612251 : Epoch  2, Batch   1889, Loss  0.834646, Average Loss  0.870487, Time  0.343583
2021-09-08 21:13:28.150313 : CheckPoint: Validation Loss  0.00063172, Best Loss  0.00058177
2021-09-08 21:13:29.719287 : Epoch  2, Batch   1890, Loss  0.900992, Average Loss  0.870584, Time  0.353939
2021-09-08 21:13:31.284560 : Epoch  2, Batch   1891, Loss  0.886575, Average Loss  0.870502, Time  0.353858
2021-09-08 21:13:32.988054 : Epoch  2, Batch   1892, Loss  0.906369, Average Loss  0.870670, Time  0.456463
2021-09-08 21:13:34.580913 : Epoch  2, Batch   1893, Loss  0.858119, Average Loss  0.870584, Time  0.352336
2021-09-08 21:13:36.140357 : Epoch  2, Batch   1894, Loss  0.869273, Average Loss  0.870543, Time  0.352793
2021-09-08 21:13:37.783975 : Epoch  2, Batch   1895, Loss  0.859347, Average Loss  0.870488, Time  0.445132
2021-09-08 21:13:39.473030 : Epoch  2, Batch   1896, Loss  0.875491, Average Loss  0.870506, Time  0.455702
2021-09-08 21:13:41.037142 : Epoch  2, Batch   1897, Loss  0.871528, Average Loss  0.870405, Time  0.355125
2021-09-08 21:13:42.602655 : Epoch  2, Batch   1898, Loss  0.858814, Average Loss  0.870254, Time  0.356334
2021-09-08 21:13:44.308482 : Epoch  2, Batch   1899, Loss  0.855267, Average Loss  0.869916, Time  0.458290
2021-09-08 21:13:45.967172 : Epoch  2, Batch   1900, Loss  0.881631, Average Loss  0.870047, Time  0.442966
2021-09-08 21:13:47.525355 : Epoch  2, Batch   1901, Loss  0.885365, Average Loss  0.870174, Time  0.352378
2021-09-08 21:13:49.095573 : Epoch  2, Batch   1902, Loss  0.873809, Average Loss  0.870259, Time  0.353402
2021-09-08 21:13:50.771290 : Epoch  2, Batch   1903, Loss  0.873088, Average Loss  0.870156, Time  0.461235
2021-09-08 21:13:52.332687 : Epoch  2, Batch   1904, Loss  0.860293, Average Loss  0.870033, Time  0.352591
2021-09-08 21:13:53.897149 : Epoch  2, Batch   1905, Loss  0.843782, Average Loss  0.869927, Time  0.352332
2021-09-08 21:13:55.531289 : Epoch  2, Batch   1906, Loss  0.860802, Average Loss  0.869901, Time  0.419746
2021-09-08 21:13:57.151631 : Epoch  2, Batch   1907, Loss  0.854935, Average Loss  0.869917, Time  0.433730
2021-09-08 21:13:58.706652 : Epoch  2, Batch   1908, Loss  0.838058, Average Loss  0.869788, Time  0.353188
2021-09-08 21:14:00.257844 : Epoch  2, Batch   1909, Loss  0.859935, Average Loss  0.869860, Time  0.353632
2021-09-08 21:14:01.994218 : Epoch  2, Batch   1910, Loss  0.882078, Average Loss  0.869965, Time  0.490573
2021-09-08 21:14:03.704869 : Epoch  2, Batch   1911, Loss  0.877849, Average Loss  0.870075, Time  0.453578
2021-09-08 21:14:05.348328 : Epoch  2, Batch   1912, Loss  0.872771, Average Loss  0.870158, Time  0.386774
2021-09-08 21:14:06.983245 : Epoch  2, Batch   1913, Loss  0.877204, Average Loss  0.870259, Time  0.385513
2021-09-08 21:14:08.713524 : Epoch  2, Batch   1914, Loss  0.861747, Average Loss  0.870192, Time  0.480990
2021-09-08 21:14:10.420170 : Epoch  2, Batch   1915, Loss  0.854733, Average Loss  0.870123, Time  0.477836
2021-09-08 21:14:12.036726 : Epoch  2, Batch   1916, Loss  0.857013, Average Loss  0.870039, Time  0.383574
2021-09-08 21:14:13.644335 : Epoch  2, Batch   1917, Loss  0.857965, Average Loss  0.869896, Time  0.381589
2021-09-08 21:14:15.354114 : Epoch  2, Batch   1918, Loss  0.869670, Average Loss  0.869823, Time  0.486629
2021-09-08 21:14:17.055893 : Epoch  2, Batch   1919, Loss  0.853965, Average Loss  0.869726, Time  0.472804
2021-09-08 21:14:18.664163 : Epoch  2, Batch   1920, Loss  0.910442, Average Loss  0.869852, Time  0.382299
2021-09-08 21:14:20.274673 : Epoch  2, Batch   1921, Loss  0.884168, Average Loss  0.869739, Time  0.384478
2021-09-08 21:14:21.990824 : Epoch  2, Batch   1922, Loss  0.846600, Average Loss  0.869658, Time  0.485591
2021-09-08 21:14:23.717299 : Epoch  2, Batch   1923, Loss  0.867146, Average Loss  0.869602, Time  0.478804
2021-09-08 21:14:25.348698 : Epoch  2, Batch   1924, Loss  0.907217, Average Loss  0.869907, Time  0.385334
2021-09-08 21:14:26.953069 : Epoch  2, Batch   1925, Loss  0.850817, Average Loss  0.869780, Time  0.382482
2021-09-08 21:14:28.678319 : Epoch  2, Batch   1926, Loss  0.851078, Average Loss  0.869505, Time  0.477069
2021-09-08 21:14:30.407107 : Epoch  2, Batch   1927, Loss  0.878885, Average Loss  0.869715, Time  0.480670
2021-09-08 21:14:32.040514 : Epoch  2, Batch   1928, Loss  0.857049, Average Loss  0.869829, Time  0.385983
2021-09-08 21:14:33.654408 : Epoch  2, Batch   1929, Loss  0.854370, Average Loss  0.869729, Time  0.383023
2021-09-08 21:14:35.353351 : Epoch  2, Batch   1930, Loss  0.858476, Average Loss  0.869605, Time  0.467974
2021-09-08 21:14:37.085852 : Epoch  2, Batch   1931, Loss  0.885419, Average Loss  0.869662, Time  0.484542
2021-09-08 21:14:38.696660 : Epoch  2, Batch   1932, Loss  0.843901, Average Loss  0.869721, Time  0.358599
2021-09-08 21:14:40.299059 : Epoch  2, Batch   1933, Loss  0.880134, Average Loss  0.869823, Time  0.353229
2021-09-08 21:14:41.960980 : Epoch  2, Batch   1934, Loss  0.845933, Average Loss  0.869610, Time  0.410088
2021-09-08 21:14:43.659758 : Epoch  2, Batch   1935, Loss  0.858267, Average Loss  0.869594, Time  0.464469
2021-09-08 21:14:45.248274 : Epoch  2, Batch   1936, Loss  0.875531, Average Loss  0.869629, Time  0.351872
2021-09-08 21:14:46.826915 : Epoch  2, Batch   1937, Loss  0.845191, Average Loss  0.869706, Time  0.352618
2021-09-08 21:14:48.477832 : Epoch  2, Batch   1938, Loss  0.875901, Average Loss  0.869733, Time  0.418686
2021-09-08 21:14:50.167640 : Epoch  2, Batch   1939, Loss  0.873216, Average Loss  0.869794, Time  0.461282
2021-09-08 21:14:51.764241 : Epoch  2, Batch   1940, Loss  0.848725, Average Loss  0.869577, Time  0.354992
2021-09-08 21:14:53.370869 : Epoch  2, Batch   1941, Loss  0.865763, Average Loss  0.869795, Time  0.353801
2021-09-08 21:14:55.021268 : Epoch  2, Batch   1942, Loss  0.889549, Average Loss  0.870013, Time  0.418619
2021-09-08 21:14:56.733748 : Epoch  2, Batch   1943, Loss  0.894858, Average Loss  0.870039, Time  0.462198
2021-09-08 21:14:58.333790 : Epoch  2, Batch   1944, Loss  0.898668, Average Loss  0.870076, Time  0.353563
2021-09-08 21:14:59.921373 : Epoch  2, Batch   1945, Loss  0.861491, Average Loss  0.870027, Time  0.353470
2021-09-08 21:15:01.567958 : Epoch  2, Batch   1946, Loss  0.893218, Average Loss  0.870205, Time  0.424783
2021-09-08 21:15:03.252527 : Epoch  2, Batch   1947, Loss  0.880838, Average Loss  0.870166, Time  0.458202
2021-09-08 21:15:04.839550 : Epoch  2, Batch   1948, Loss  0.877105, Average Loss  0.870077, Time  0.356616
2021-09-08 21:15:06.442510 : Epoch  2, Batch   1949, Loss  0.878299, Average Loss  0.870189, Time  0.355966
2021-09-08 21:15:08.132825 : Epoch  2, Batch   1950, Loss  0.847118, Average Loss  0.870035, Time  0.418849
2021-09-08 21:15:09.823032 : Epoch  2, Batch   1951, Loss  0.846129, Average Loss  0.869985, Time  0.461600
2021-09-08 21:15:11.534081 : Epoch  2, Batch   1952, Loss  0.873582, Average Loss  0.870050, Time  0.356882
2021-09-08 21:15:13.202120 : Epoch  2, Batch   1953, Loss  0.858380, Average Loss  0.870057, Time  0.357535
2021-09-08 21:15:14.943421 : Epoch  2, Batch   1954, Loss  0.849973, Average Loss  0.870067, Time  0.398079
2021-09-08 21:15:16.610963 : Epoch  2, Batch   1955, Loss  0.857941, Average Loss  0.870026, Time  0.453553
2021-09-08 21:15:18.169679 : Epoch  2, Batch   1956, Loss  0.881522, Average Loss  0.870192, Time  0.352101
2021-09-08 21:15:19.721333 : Epoch  2, Batch   1957, Loss  0.865214, Average Loss  0.870276, Time  0.353233
2021-09-08 21:15:21.381021 : Epoch  2, Batch   1958, Loss  0.902231, Average Loss  0.870419, Time  0.457026
2021-09-08 21:15:22.917975 : Epoch  2, Batch   1959, Loss  0.861289, Average Loss  0.870361, Time  0.351796
2021-09-08 21:15:24.458364 : Epoch  2, Batch   1960, Loss  0.853152, Average Loss  0.870420, Time  0.350922
2021-09-08 21:15:26.088011 : Epoch  2, Batch   1961, Loss  0.853533, Average Loss  0.870348, Time  0.452295
2021-09-08 21:15:27.550310 : Epoch  2, Batch   1962, Loss  0.875123, Average Loss  0.870452, Time  0.351219
2021-09-08 21:15:29.017997 : Epoch  2, Batch   1963, Loss  0.858024, Average Loss  0.870252, Time  0.351805
2021-09-08 21:15:30.659612 : Epoch  2, Batch   1964, Loss  0.864987, Average Loss  0.870227, Time  0.453492
2021-09-08 21:15:32.204051 : Epoch  2, Batch   1965, Loss  0.839649, Average Loss  0.870118, Time  0.356728
2021-09-08 21:15:33.752376 : Epoch  2, Batch   1966, Loss  0.855763, Average Loss  0.869887, Time  0.351985
2021-09-08 21:15:35.395351 : Epoch  2, Batch   1967, Loss  0.858757, Average Loss  0.869709, Time  0.457174
2021-09-08 21:15:36.993480 : Epoch  2, Batch   1968, Loss  0.847872, Average Loss  0.869510, Time  0.368743
2021-09-08 21:15:38.543944 : Epoch  2, Batch   1969, Loss  0.863251, Average Loss  0.869347, Time  0.355013
2021-09-08 21:15:40.152238 : Epoch  2, Batch   1970, Loss  0.868591, Average Loss  0.869252, Time  0.353961
2021-09-08 21:15:41.831105 : Epoch  2, Batch   1971, Loss  0.868456, Average Loss  0.869267, Time  0.458703
2021-09-08 21:15:43.393905 : Epoch  2, Batch   1972, Loss  0.878564, Average Loss  0.869391, Time  0.357221
2021-09-08 21:15:45.001843 : Epoch  2, Batch   1973, Loss  0.884804, Average Loss  0.869495, Time  0.355589
2021-09-08 21:15:46.750253 : Epoch  2, Batch   1974, Loss  0.854978, Average Loss  0.869426, Time  0.420504
2021-09-08 21:15:48.531656 : Epoch  2, Batch   1975, Loss  0.889580, Average Loss  0.869623, Time  0.454059
2021-09-08 21:15:50.131705 : Epoch  2, Batch   1976, Loss  0.897118, Average Loss  0.869778, Time  0.353536
2021-09-08 21:15:51.707551 : Epoch  2, Batch   1977, Loss  0.838443, Average Loss  0.869480, Time  0.354191
2021-09-08 21:15:53.379797 : Epoch  2, Batch   1978, Loss  0.885216, Average Loss  0.869520, Time  0.420834
2021-09-08 21:15:55.089303 : Epoch  2, Batch   1979, Loss  0.879692, Average Loss  0.869514, Time  0.460194
2021-09-08 21:15:56.669991 : Epoch  2, Batch   1980, Loss  0.863021, Average Loss  0.869446, Time  0.356476
2021-09-08 21:15:58.280532 : Epoch  2, Batch   1981, Loss  0.868713, Average Loss  0.869397, Time  0.355539
2021-09-08 21:15:59.932491 : Epoch  2, Batch   1982, Loss  0.862415, Average Loss  0.869235, Time  0.433865
2021-09-08 21:16:01.625443 : Epoch  2, Batch   1983, Loss  0.869965, Average Loss  0.869244, Time  0.452297
2021-09-08 21:16:03.214518 : Epoch  2, Batch   1984, Loss  0.834576, Average Loss  0.869071, Time  0.356554
2021-09-08 21:16:04.769275 : Epoch  2, Batch   1985, Loss  0.840758, Average Loss  0.868907, Time  0.354606
2021-09-08 21:16:06.459756 : Epoch  2, Batch   1986, Loss  0.905466, Average Loss  0.869132, Time  0.441667
2021-09-08 21:16:08.120704 : Epoch  2, Batch   1987, Loss  0.893843, Average Loss  0.869257, Time  0.454075
2021-09-08 21:16:09.712457 : Epoch  2, Batch   1988, Loss  0.854118, Average Loss  0.869253, Time  0.355155
2021-09-08 21:16:11.310550 : Epoch  2, Batch   1989, Loss  0.883832, Average Loss  0.869306, Time  0.354367
2021-09-08 21:20:26.544910 : CheckPoint: Validation Loss  0.00058790, Best Loss  0.00058177
2021-09-08 21:20:28.145981 : Epoch  2, Batch   1990, Loss  0.880903, Average Loss  0.869364, Time  0.353973
2021-09-08 21:20:29.813882 : Epoch  2, Batch   1991, Loss  0.847408, Average Loss  0.869329, Time  0.464243
2021-09-08 21:20:31.377055 : Epoch  2, Batch   1992, Loss  0.886417, Average Loss  0.869466, Time  0.352570
2021-09-08 21:20:32.937054 : Epoch  2, Batch   1993, Loss  0.874583, Average Loss  0.869541, Time  0.354140
2021-09-08 21:20:34.573466 : Epoch  2, Batch   1994, Loss  0.874989, Average Loss  0.869549, Time  0.443002
2021-09-08 21:20:36.269911 : Epoch  2, Batch   1995, Loss  0.866189, Average Loss  0.869457, Time  0.459265
2021-09-08 21:20:37.850435 : Epoch  2, Batch   1996, Loss  0.877869, Average Loss  0.869519, Time  0.355233
2021-09-08 21:20:39.440859 : Epoch  2, Batch   1997, Loss  0.879883, Average Loss  0.869552, Time  0.352150
2021-09-08 21:20:41.111040 : Epoch  2, Batch   1998, Loss  0.872100, Average Loss  0.869480, Time  0.438500
2021-09-08 21:20:42.789702 : Epoch  2, Batch   1999, Loss  0.875353, Average Loss  0.869462, Time  0.461142
2021-09-08 21:20:44.390641 : Epoch  2, Batch   2000, Loss  0.875174, Average Loss  0.869574, Time  0.353603
2021-09-08 21:20:45.954035 : Epoch  2, Batch   2001, Loss  0.857131, Average Loss  0.869529, Time  0.353749
2021-09-08 21:20:47.666084 : Epoch  2, Batch   2002, Loss  0.897260, Average Loss  0.869745, Time  0.462607
2021-09-08 21:20:49.427699 : Epoch  2, Batch   2003, Loss  0.852863, Average Loss  0.869550, Time  0.493401
2021-09-08 21:20:51.158454 : Epoch  2, Batch   2004, Loss  0.872494, Average Loss  0.869443, Time  0.456088
2021-09-08 21:20:52.800747 : Epoch  2, Batch   2005, Loss  0.889458, Average Loss  0.869548, Time  0.385921
2021-09-08 21:20:54.444966 : Epoch  2, Batch   2006, Loss  0.881893, Average Loss  0.869482, Time  0.385626
2021-09-08 21:20:56.169443 : Epoch  2, Batch   2007, Loss  0.871672, Average Loss  0.869392, Time  0.470222
2021-09-08 21:20:57.945200 : Epoch  2, Batch   2008, Loss  0.900357, Average Loss  0.869546, Time  0.493545
2021-09-08 21:20:59.684916 : Epoch  2, Batch   2009, Loss  0.881079, Average Loss  0.869514, Time  0.461007
2021-09-08 21:21:01.361877 : Epoch  2, Batch   2010, Loss  0.868441, Average Loss  0.869483, Time  0.392049
2021-09-08 21:21:03.030057 : Epoch  2, Batch   2011, Loss  0.896923, Average Loss  0.869610, Time  0.387930
2021-09-08 21:21:04.740033 : Epoch  2, Batch   2012, Loss  0.837804, Average Loss  0.869457, Time  0.428536
2021-09-08 21:21:06.484111 : Epoch  2, Batch   2013, Loss  0.866140, Average Loss  0.869482, Time  0.492499
2021-09-08 21:21:08.152076 : Epoch  2, Batch   2014, Loss  0.879714, Average Loss  0.869525, Time  0.350073
2021-09-08 21:21:09.776192 : Epoch  2, Batch   2015, Loss  0.890488, Average Loss  0.869686, Time  0.356706
2021-09-08 21:21:11.458441 : Epoch  2, Batch   2016, Loss  0.872386, Average Loss  0.869786, Time  0.355836
2021-09-08 21:21:13.346417 : Epoch  2, Batch   2017, Loss  0.832227, Average Loss  0.869672, Time  0.465943
2021-09-08 21:21:15.267391 : Epoch  2, Batch   2018, Loss  0.879625, Average Loss  0.869748, Time  0.499903
2021-09-08 21:21:16.907201 : Epoch  2, Batch   2019, Loss  0.875332, Average Loss  0.869683, Time  0.373126
2021-09-08 21:21:18.543720 : Epoch  2, Batch   2020, Loss  0.874301, Average Loss  0.869619, Time  0.387053
2021-09-08 21:21:20.130195 : Epoch  2, Batch   2021, Loss  0.868579, Average Loss  0.869681, Time  0.356110
2021-09-08 21:21:21.819644 : Epoch  2, Batch   2022, Loss  0.872930, Average Loss  0.869504, Time  0.460590
2021-09-08 21:21:23.359708 : Epoch  2, Batch   2023, Loss  0.864595, Average Loss  0.869507, Time  0.356558
2021-09-08 21:21:24.922752 : Epoch  2, Batch   2024, Loss  0.898791, Average Loss  0.869666, Time  0.350826
2021-09-08 21:21:26.594698 : Epoch  2, Batch   2025, Loss  0.897810, Average Loss  0.869969, Time  0.460415
2021-09-08 21:21:28.344157 : Epoch  2, Batch   2026, Loss  0.846529, Average Loss  0.869888, Time  0.483723
2021-09-08 21:21:29.982777 : Epoch  2, Batch   2027, Loss  0.866852, Average Loss  0.869883, Time  0.359483
2021-09-08 21:21:31.625947 : Epoch  2, Batch   2028, Loss  0.855025, Average Loss  0.869673, Time  0.385689
2021-09-08 21:21:33.319264 : Epoch  2, Batch   2029, Loss  0.846445, Average Loss  0.869604, Time  0.444699
2021-09-08 21:21:35.078776 : Epoch  2, Batch   2030, Loss  0.863177, Average Loss  0.869452, Time  0.488215
2021-09-08 21:21:36.709952 : Epoch  2, Batch   2031, Loss  0.841735, Average Loss  0.869346, Time  0.386789
2021-09-08 21:21:38.339764 : Epoch  2, Batch   2032, Loss  0.885589, Average Loss  0.869275, Time  0.382188
2021-09-08 21:21:40.039562 : Epoch  2, Batch   2033, Loss  0.847646, Average Loss  0.869082, Time  0.442584
2021-09-08 21:21:41.760771 : Epoch  2, Batch   2034, Loss  0.849887, Average Loss  0.869032, Time  0.485683
2021-09-08 21:21:43.415727 : Epoch  2, Batch   2035, Loss  0.856098, Average Loss  0.868875, Time  0.383531
2021-09-08 21:21:45.059408 : Epoch  2, Batch   2036, Loss  0.840375, Average Loss  0.868676, Time  0.385509
2021-09-08 21:21:46.762365 : Epoch  2, Batch   2037, Loss  0.897108, Average Loss  0.868777, Time  0.447925
2021-09-08 21:21:48.515429 : Epoch  2, Batch   2038, Loss  0.846169, Average Loss  0.868755, Time  0.487085
2021-09-08 21:21:50.171112 : Epoch  2, Batch   2039, Loss  0.894047, Average Loss  0.868794, Time  0.388377
2021-09-08 21:21:51.831568 : Epoch  2, Batch   2040, Loss  0.902136, Average Loss  0.868905, Time  0.385261
2021-09-08 21:21:53.535712 : Epoch  2, Batch   2041, Loss  0.864712, Average Loss  0.868675, Time  0.405222
2021-09-08 21:21:55.290883 : Epoch  2, Batch   2042, Loss  0.875941, Average Loss  0.868639, Time  0.492221
2021-09-08 21:21:56.925139 : Epoch  2, Batch   2043, Loss  0.901743, Average Loss  0.868979, Time  0.382369
2021-09-08 21:21:58.582036 : Epoch  2, Batch   2044, Loss  0.877006, Average Loss  0.869004, Time  0.397475
2021-09-08 21:22:00.244546 : Epoch  2, Batch   2045, Loss  0.869665, Average Loss  0.869077, Time  0.434778
2021-09-08 21:22:01.992528 : Epoch  2, Batch   2046, Loss  0.881475, Average Loss  0.869147, Time  0.483964
2021-09-08 21:22:03.651005 : Epoch  2, Batch   2047, Loss  0.853704, Average Loss  0.868980, Time  0.389256
2021-09-08 21:22:05.301712 : Epoch  2, Batch   2048, Loss  0.867943, Average Loss  0.869038, Time  0.388388
2021-09-08 21:22:06.989074 : Epoch  2, Batch   2049, Loss  0.861940, Average Loss  0.869099, Time  0.394980
2021-09-08 21:22:08.725921 : Epoch  2, Batch   2050, Loss  0.872272, Average Loss  0.868998, Time  0.482712
2021-09-08 21:22:10.349752 : Epoch  2, Batch   2051, Loss  0.842752, Average Loss  0.869004, Time  0.385387
2021-09-08 21:22:11.980077 : Epoch  2, Batch   2052, Loss  0.869038, Average Loss  0.869007, Time  0.386582
2021-09-08 21:22:13.685259 : Epoch  2, Batch   2053, Loss  0.871687, Average Loss  0.869030, Time  0.456273
2021-09-08 21:22:15.405117 : Epoch  2, Batch   2054, Loss  0.845167, Average Loss  0.868963, Time  0.480536
2021-09-08 21:22:17.018090 : Epoch  2, Batch   2055, Loss  0.887995, Average Loss  0.869155, Time  0.387339
2021-09-08 21:22:18.627637 : Epoch  2, Batch   2056, Loss  0.860814, Average Loss  0.869067, Time  0.386818
2021-09-08 21:22:20.349060 : Epoch  2, Batch   2057, Loss  0.884200, Average Loss  0.869177, Time  0.480537
2021-09-08 21:22:22.076816 : Epoch  2, Batch   2058, Loss  0.880553, Average Loss  0.869174, Time  0.482484
2021-09-08 21:22:23.706661 : Epoch  2, Batch   2059, Loss  0.872858, Average Loss  0.869169, Time  0.387506
2021-09-08 21:22:25.292769 : Epoch  2, Batch   2060, Loss  0.860036, Average Loss  0.869045, Time  0.358461
2021-09-08 21:22:26.974505 : Epoch  2, Batch   2061, Loss  0.868758, Average Loss  0.868978, Time  0.433337
2021-09-08 21:22:28.555224 : Epoch  2, Batch   2062, Loss  0.889868, Average Loss  0.868971, Time  0.355839
2021-09-08 21:22:30.115291 : Epoch  2, Batch   2063, Loss  0.901004, Average Loss  0.869183, Time  0.368556
2021-09-08 21:22:31.801449 : Epoch  2, Batch   2064, Loss  0.882953, Average Loss  0.869224, Time  0.459186
2021-09-08 21:22:33.363806 : Epoch  2, Batch   2065, Loss  0.843593, Average Loss  0.869099, Time  0.361583
2021-09-08 21:22:34.939591 : Epoch  2, Batch   2066, Loss  0.867129, Average Loss  0.869165, Time  0.353563
2021-09-08 21:22:36.595437 : Epoch  2, Batch   2067, Loss  0.850072, Average Loss  0.869149, Time  0.454054
2021-09-08 21:22:38.299865 : Epoch  2, Batch   2068, Loss  0.854238, Average Loss  0.869155, Time  0.457494
2021-09-08 21:22:39.891226 : Epoch  2, Batch   2069, Loss  0.869530, Average Loss  0.869168, Time  0.356310
2021-09-08 21:22:41.477391 : Epoch  2, Batch   2070, Loss  0.836309, Average Loss  0.869043, Time  0.353925
2021-09-08 21:22:43.143072 : Epoch  2, Batch   2071, Loss  0.894783, Average Loss  0.869189, Time  0.422505
2021-09-08 21:22:44.821740 : Epoch  2, Batch   2072, Loss  0.845878, Average Loss  0.869184, Time  0.461387
2021-09-08 21:22:46.416525 : Epoch  2, Batch   2073, Loss  0.845669, Average Loss  0.868901, Time  0.353953
2021-09-08 21:22:48.001486 : Epoch  2, Batch   2074, Loss  0.863684, Average Loss  0.868910, Time  0.355468
2021-09-08 21:22:49.651719 : Epoch  2, Batch   2075, Loss  0.889279, Average Loss  0.868837, Time  0.436040
2021-09-08 21:22:51.258383 : Epoch  2, Batch   2076, Loss  0.861672, Average Loss  0.868734, Time  0.424375
2021-09-08 21:22:52.792204 : Epoch  2, Batch   2077, Loss  0.856253, Average Loss  0.868693, Time  0.351827
2021-09-08 21:22:54.324323 : Epoch  2, Batch   2078, Loss  0.844155, Average Loss  0.868691, Time  0.352680
2021-09-08 21:22:55.981763 : Epoch  2, Batch   2079, Loss  0.837387, Average Loss  0.868470, Time  0.453929
2021-09-08 21:22:57.537814 : Epoch  2, Batch   2080, Loss  0.861842, Average Loss  0.868504, Time  0.354192
2021-09-08 21:22:59.096401 : Epoch  2, Batch   2081, Loss  0.861077, Average Loss  0.868495, Time  0.353173
2021-09-08 21:23:00.749725 : Epoch  2, Batch   2082, Loss  0.872887, Average Loss  0.868556, Time  0.457196
2021-09-08 21:23:02.295388 : Epoch  2, Batch   2083, Loss  0.839119, Average Loss  0.868363, Time  0.353296
2021-09-08 21:23:03.833484 : Epoch  2, Batch   2084, Loss  0.858402, Average Loss  0.868316, Time  0.352998
2021-09-08 21:23:05.462867 : Epoch  2, Batch   2085, Loss  0.844787, Average Loss  0.868033, Time  0.453094
2021-09-08 21:23:07.149180 : Epoch  2, Batch   2086, Loss  0.873855, Average Loss  0.868140, Time  0.470671
2021-09-08 21:23:08.774872 : Epoch  2, Batch   2087, Loss  0.836785, Average Loss  0.867892, Time  0.383170
2021-09-08 21:23:10.371039 : Epoch  2, Batch   2088, Loss  0.865323, Average Loss  0.867974, Time  0.382241
2021-09-08 21:23:12.064127 : Epoch  2, Batch   2089, Loss  0.875612, Average Loss  0.868179, Time  0.482542
2021-09-08 21:27:27.932292 : CheckPoint: Validation Loss  0.00060354, Best Loss  0.00058177
2021-09-08 21:27:29.594249 : Epoch  2, Batch   2090, Loss  0.845923, Average Loss  0.867903, Time  0.456995
2021-09-08 21:27:31.163452 : Epoch  2, Batch   2091, Loss  0.883685, Average Loss  0.867889, Time  0.352094
2021-09-08 21:27:32.714532 : Epoch  2, Batch   2092, Loss  0.862181, Average Loss  0.867668, Time  0.350068
2021-09-08 21:27:34.389355 : Epoch  2, Batch   2093, Loss  0.862931, Average Loss  0.867692, Time  0.460134
2021-09-08 21:27:36.108482 : Epoch  2, Batch   2094, Loss  0.885590, Average Loss  0.867774, Time  0.480525
2021-09-08 21:27:37.736344 : Epoch  2, Batch   2095, Loss  0.889693, Average Loss  0.867925, Time  0.387639
2021-09-08 21:27:39.331854 : Epoch  2, Batch   2096, Loss  0.888086, Average Loss  0.867988, Time  0.380731
2021-09-08 21:27:41.021630 : Epoch  2, Batch   2097, Loss  0.859736, Average Loss  0.867929, Time  0.478797
2021-09-08 21:27:42.709931 : Epoch  2, Batch   2098, Loss  0.865415, Average Loss  0.867962, Time  0.469424
2021-09-08 21:27:44.306023 : Epoch  2, Batch   2099, Loss  0.858910, Average Loss  0.867981, Time  0.389521
2021-09-08 21:27:45.926434 : Epoch  2, Batch   2100, Loss  0.861455, Average Loss  0.867880, Time  0.385388
2021-09-08 21:27:47.651100 : Epoch  2, Batch   2101, Loss  0.819066, Average Loss  0.867548, Time  0.488436
2021-09-08 21:27:49.360698 : Epoch  2, Batch   2102, Loss  0.883032, Average Loss  0.867594, Time  0.473845
2021-09-08 21:27:50.977403 : Epoch  2, Batch   2103, Loss  0.881094, Average Loss  0.867634, Time  0.384519
2021-09-08 21:27:52.593136 : Epoch  2, Batch   2104, Loss  0.862733, Average Loss  0.867647, Time  0.383250
2021-09-08 21:27:54.306852 : Epoch  2, Batch   2105, Loss  0.863878, Average Loss  0.867747, Time  0.485101
2021-09-08 21:27:56.014764 : Epoch  2, Batch   2106, Loss  0.869606, Average Loss  0.867791, Time  0.479097
2021-09-08 21:27:57.647959 : Epoch  2, Batch   2107, Loss  0.881418, Average Loss  0.867923, Time  0.386295
2021-09-08 21:27:59.264476 : Epoch  2, Batch   2108, Loss  0.908052, Average Loss  0.868273, Time  0.384828
2021-09-08 21:28:00.960578 : Epoch  2, Batch   2109, Loss  0.866198, Average Loss  0.868305, Time  0.478943
2021-09-08 21:28:02.659972 : Epoch  2, Batch   2110, Loss  0.893515, Average Loss  0.868362, Time  0.478885
2021-09-08 21:28:04.287163 : Epoch  2, Batch   2111, Loss  0.866317, Average Loss  0.868304, Time  0.385927
2021-09-08 21:28:05.888371 : Epoch  2, Batch   2112, Loss  0.874329, Average Loss  0.868312, Time  0.381416
2021-09-08 21:28:07.584677 : Epoch  2, Batch   2113, Loss  0.861437, Average Loss  0.868233, Time  0.485759
2021-09-08 21:28:09.252198 : Epoch  2, Batch   2114, Loss  0.870750, Average Loss  0.868278, Time  0.458248
2021-09-08 21:28:10.848693 : Epoch  2, Batch   2115, Loss  0.895094, Average Loss  0.868480, Time  0.383067
2021-09-08 21:28:12.459184 : Epoch  2, Batch   2116, Loss  0.863190, Average Loss  0.868511, Time  0.381505
2021-09-08 21:28:14.153227 : Epoch  2, Batch   2117, Loss  0.876689, Average Loss  0.868605, Time  0.486807
2021-09-08 21:28:15.765742 : Epoch  2, Batch   2118, Loss  0.869710, Average Loss  0.868605, Time  0.372043
2021-09-08 21:28:17.367021 : Epoch  2, Batch   2119, Loss  0.868115, Average Loss  0.868676, Time  0.383446
2021-09-08 21:28:18.990431 : Epoch  2, Batch   2120, Loss  0.885911, Average Loss  0.868553, Time  0.409861
2021-09-08 21:28:20.679166 : Epoch  2, Batch   2121, Loss  0.873871, Average Loss  0.868501, Time  0.479529
2021-09-08 21:28:22.280919 : Epoch  2, Batch   2122, Loss  0.877191, Average Loss  0.868654, Time  0.382609
2021-09-08 21:28:23.875316 : Epoch  2, Batch   2123, Loss  0.860270, Average Loss  0.868620, Time  0.386755
2021-09-08 21:28:25.628696 : Epoch  2, Batch   2124, Loss  0.902674, Average Loss  0.868597, Time  0.469795
2021-09-08 21:28:27.390033 : Epoch  2, Batch   2125, Loss  0.881852, Average Loss  0.868752, Time  0.492297
2021-09-08 21:28:29.031430 : Epoch  2, Batch   2126, Loss  0.897555, Average Loss  0.868985, Time  0.387190
2021-09-08 21:28:30.675163 : Epoch  2, Batch   2127, Loss  0.876337, Average Loss  0.868972, Time  0.385085
2021-09-08 21:28:32.348429 : Epoch  2, Batch   2128, Loss  0.886995, Average Loss  0.869122, Time  0.424812
2021-09-08 21:28:34.100377 : Epoch  2, Batch   2129, Loss  0.875857, Average Loss  0.869229, Time  0.488700
2021-09-08 21:28:35.758805 : Epoch  2, Batch   2130, Loss  0.859512, Average Loss  0.869234, Time  0.387647
2021-09-08 21:28:37.405807 : Epoch  2, Batch   2131, Loss  0.863850, Average Loss  0.869127, Time  0.387434
2021-09-08 21:28:39.048507 : Epoch  2, Batch   2132, Loss  0.892812, Average Loss  0.869371, Time  0.402988
2021-09-08 21:28:40.793254 : Epoch  2, Batch   2133, Loss  0.869790, Average Loss  0.869319, Time  0.488862
2021-09-08 21:28:42.400381 : Epoch  2, Batch   2134, Loss  0.856609, Average Loss  0.869373, Time  0.386463
2021-09-08 21:28:44.005895 : Epoch  2, Batch   2135, Loss  0.872583, Average Loss  0.869444, Time  0.354354
2021-09-08 21:28:45.699676 : Epoch  2, Batch   2136, Loss  0.877864, Average Loss  0.869456, Time  0.450539
2021-09-08 21:28:47.454832 : Epoch  2, Batch   2137, Loss  0.858122, Average Loss  0.869521, Time  0.492205
2021-09-08 21:28:49.158781 : Epoch  2, Batch   2138, Loss  0.861749, Average Loss  0.869450, Time  0.421607
2021-09-08 21:28:50.814661 : Epoch  2, Batch   2139, Loss  0.870772, Average Loss  0.869438, Time  0.398534
2021-09-08 21:28:52.464781 : Epoch  2, Batch   2140, Loss  0.886555, Average Loss  0.869627, Time  0.386438
2021-09-08 21:28:54.225791 : Epoch  2, Batch   2141, Loss  0.879389, Average Loss  0.869695, Time  0.478811
2021-09-08 21:28:55.973945 : Epoch  2, Batch   2142, Loss  0.888727, Average Loss  0.869691, Time  0.497404
2021-09-08 21:28:57.614498 : Epoch  2, Batch   2143, Loss  0.896603, Average Loss  0.869700, Time  0.362950
2021-09-08 21:28:59.258097 : Epoch  2, Batch   2144, Loss  0.877868, Average Loss  0.869596, Time  0.386575
2021-09-08 21:29:00.890014 : Epoch  2, Batch   2145, Loss  0.869952, Average Loss  0.869638, Time  0.399288
2021-09-08 21:29:02.635329 : Epoch  2, Batch   2146, Loss  0.853187, Average Loss  0.869438, Time  0.487941
2021-09-08 21:29:04.272488 : Epoch  2, Batch   2147, Loss  0.846579, Average Loss  0.869266, Time  0.386725
2021-09-08 21:29:05.912091 : Epoch  2, Batch   2148, Loss  0.852697, Average Loss  0.869144, Time  0.385872
2021-09-08 21:29:07.553192 : Epoch  2, Batch   2149, Loss  0.864973, Average Loss  0.869078, Time  0.400646
2021-09-08 21:29:09.239004 : Epoch  2, Batch   2150, Loss  0.914618, Average Loss  0.869415, Time  0.457215
2021-09-08 21:29:10.847634 : Epoch  2, Batch   2151, Loss  0.855157, Average Loss  0.869460, Time  0.352434
2021-09-08 21:29:12.346845 : Epoch  2, Batch   2152, Loss  0.864910, Average Loss  0.869417, Time  0.353097
2021-09-08 21:29:14.001235 : Epoch  2, Batch   2153, Loss  0.829914, Average Loss  0.869275, Time  0.462972
2021-09-08 21:29:15.533310 : Epoch  2, Batch   2154, Loss  0.841391, Average Loss  0.869232, Time  0.331967
2021-09-08 21:29:17.107008 : Epoch  2, Batch   2155, Loss  0.875116, Average Loss  0.869318, Time  0.353469
2021-09-08 21:29:18.707433 : Epoch  2, Batch   2156, Loss  0.883706, Average Loss  0.869329, Time  0.396949
2021-09-08 21:29:20.415004 : Epoch  2, Batch   2157, Loss  0.890496, Average Loss  0.869455, Time  0.464301
2021-09-08 21:29:21.982980 : Epoch  2, Batch   2158, Loss  0.885814, Average Loss  0.869373, Time  0.354584
2021-09-08 21:29:23.570026 : Epoch  2, Batch   2159, Loss  0.855811, Average Loss  0.869346, Time  0.352444
2021-09-08 21:29:25.285310 : Epoch  2, Batch   2160, Loss  0.865105, Average Loss  0.869405, Time  0.447252
2021-09-08 21:29:26.998169 : Epoch  2, Batch   2161, Loss  0.862371, Average Loss  0.869449, Time  0.464820
2021-09-08 21:29:28.594138 : Epoch  2, Batch   2162, Loss  0.867652, Average Loss  0.869412, Time  0.352516
2021-09-08 21:29:30.311368 : Epoch  2, Batch   2163, Loss  0.895284, Average Loss  0.869598, Time  0.353775
2021-09-08 21:29:32.065060 : Epoch  2, Batch   2164, Loss  0.879919, Average Loss  0.869673, Time  0.384050
2021-09-08 21:29:33.872570 : Epoch  2, Batch   2165, Loss  0.836851, Average Loss  0.869659, Time  0.461498
2021-09-08 21:29:35.422899 : Epoch  2, Batch   2166, Loss  0.872101, Average Loss  0.869741, Time  0.353597
2021-09-08 21:29:36.943008 : Epoch  2, Batch   2167, Loss  0.848508, Average Loss  0.869690, Time  0.350111
2021-09-08 21:29:38.633185 : Epoch  2, Batch   2168, Loss  0.886479, Average Loss  0.869883, Time  0.486335
2021-09-08 21:29:40.291028 : Epoch  2, Batch   2169, Loss  0.865524, Average Loss  0.869894, Time  0.450059
2021-09-08 21:29:41.890777 : Epoch  2, Batch   2170, Loss  0.860930, Average Loss  0.869856, Time  0.383622
2021-09-08 21:29:43.490504 : Epoch  2, Batch   2171, Loss  0.881574, Average Loss  0.869921, Time  0.383392
2021-09-08 21:29:45.196822 : Epoch  2, Batch   2172, Loss  0.859219, Average Loss  0.869825, Time  0.486925
2021-09-08 21:29:46.798099 : Epoch  2, Batch   2173, Loss  0.870871, Average Loss  0.869755, Time  0.381187
2021-09-08 21:29:48.402233 : Epoch  2, Batch   2174, Loss  0.846501, Average Loss  0.869712, Time  0.380973
2021-09-08 21:29:50.081824 : Epoch  2, Batch   2175, Loss  0.857815, Average Loss  0.869554, Time  0.456254
2021-09-08 21:29:51.794710 : Epoch  2, Batch   2176, Loss  0.865471, Average Loss  0.869395, Time  0.482564
2021-09-08 21:29:53.427714 : Epoch  2, Batch   2177, Loss  0.879075, Average Loss  0.869599, Time  0.384963
2021-09-08 21:29:55.067866 : Epoch  2, Batch   2178, Loss  0.897496, Average Loss  0.869660, Time  0.385799
2021-09-08 21:29:56.781827 : Epoch  2, Batch   2179, Loss  0.898728, Average Loss  0.869755, Time  0.461051
2021-09-08 21:29:58.510293 : Epoch  2, Batch   2180, Loss  0.864804, Average Loss  0.869764, Time  0.485821
2021-09-08 21:30:00.166173 : Epoch  2, Batch   2181, Loss  0.860601, Average Loss  0.869723, Time  0.387258
2021-09-08 21:30:01.780793 : Epoch  2, Batch   2182, Loss  0.868420, Average Loss  0.869754, Time  0.378140
2021-09-08 21:30:03.483036 : Epoch  2, Batch   2183, Loss  0.866056, Average Loss  0.869734, Time  0.446038
2021-09-08 21:30:05.237375 : Epoch  2, Batch   2184, Loss  0.875751, Average Loss  0.869940, Time  0.489635
2021-09-08 21:30:06.878471 : Epoch  2, Batch   2185, Loss  0.853869, Average Loss  0.870005, Time  0.382818
2021-09-08 21:30:08.534020 : Epoch  2, Batch   2186, Loss  0.872315, Average Loss  0.869840, Time  0.385845
2021-09-08 21:30:10.208500 : Epoch  2, Batch   2187, Loss  0.877265, Average Loss  0.869757, Time  0.417332
2021-09-08 21:30:11.990625 : Epoch  2, Batch   2188, Loss  0.892142, Average Loss  0.869947, Time  0.489543
2021-09-08 21:30:13.676363 : Epoch  2, Batch   2189, Loss  0.867288, Average Loss  0.869864, Time  0.418657
2021-09-08 21:34:31.205222 : CheckPoint: Validation Loss  0.00060513, Best Loss  0.00058177
2021-09-08 21:34:32.812700 : Epoch  2, Batch   2190, Loss  0.873565, Average Loss  0.869827, Time  0.355418
2021-09-08 21:34:34.419447 : Epoch  2, Batch   2191, Loss  0.835110, Average Loss  0.869766, Time  0.353519
2021-09-08 21:34:36.119299 : Epoch  2, Batch   2192, Loss  0.872756, Average Loss  0.869698, Time  0.442898
2021-09-08 21:34:37.829908 : Epoch  2, Batch   2193, Loss  0.882739, Average Loss  0.869738, Time  0.457646
2021-09-08 21:34:39.415269 : Epoch  2, Batch   2194, Loss  0.859589, Average Loss  0.869661, Time  0.353918
2021-09-08 21:34:41.066022 : Epoch  2, Batch   2195, Loss  0.860939, Average Loss  0.869635, Time  0.384199
2021-09-08 21:34:42.806967 : Epoch  2, Batch   2196, Loss  0.884289, Average Loss  0.869667, Time  0.480219
2021-09-08 21:34:44.553925 : Epoch  2, Batch   2197, Loss  0.887202, Average Loss  0.869704, Time  0.482046
2021-09-08 21:34:46.193905 : Epoch  2, Batch   2198, Loss  0.861891, Average Loss  0.869653, Time  0.387939
2021-09-08 21:34:47.841771 : Epoch  2, Batch   2199, Loss  0.868865, Average Loss  0.869620, Time  0.384612
2021-09-08 21:34:49.573116 : Epoch  2, Batch   2200, Loss  0.853566, Average Loss  0.869512, Time  0.466064
2021-09-08 21:34:51.324989 : Epoch  2, Batch   2201, Loss  0.888640, Average Loss  0.869670, Time  0.483057
2021-09-08 21:34:52.998746 : Epoch  2, Batch   2202, Loss  0.884536, Average Loss  0.869606, Time  0.389309
2021-09-08 21:34:54.674139 : Epoch  2, Batch   2203, Loss  0.868154, Average Loss  0.869683, Time  0.388411
2021-09-08 21:34:56.418627 : Epoch  2, Batch   2204, Loss  0.861971, Average Loss  0.869630, Time  0.445246
2021-09-08 21:34:58.196195 : Epoch  2, Batch   2205, Loss  0.903663, Average Loss  0.869701, Time  0.490716
2021-09-08 21:34:59.847972 : Epoch  2, Batch   2206, Loss  0.870390, Average Loss  0.869644, Time  0.385180
2021-09-08 21:35:01.502159 : Epoch  2, Batch   2207, Loss  0.866161, Average Loss  0.869616, Time  0.386099
2021-09-08 21:35:03.211058 : Epoch  2, Batch   2208, Loss  0.887309, Average Loss  0.869551, Time  0.453612
2021-09-08 21:35:04.963381 : Epoch  2, Batch   2209, Loss  0.842919, Average Loss  0.869360, Time  0.485485
2021-09-08 21:35:06.616847 : Epoch  2, Batch   2210, Loss  0.846138, Average Loss  0.869249, Time  0.389858
2021-09-08 21:35:08.291377 : Epoch  2, Batch   2211, Loss  0.847276, Average Loss  0.869000, Time  0.386712
2021-09-08 21:35:10.026676 : Epoch  2, Batch   2212, Loss  0.864122, Average Loss  0.869132, Time  0.446251
2021-09-08 21:35:11.799055 : Epoch  2, Batch   2213, Loss  0.853607, Average Loss  0.869069, Time  0.488576
2021-09-08 21:35:13.453366 : Epoch  2, Batch   2214, Loss  0.881313, Average Loss  0.869077, Time  0.385574
2021-09-08 21:35:15.129905 : Epoch  2, Batch   2215, Loss  0.902956, Average Loss  0.869140, Time  0.386407
2021-09-08 21:35:16.788317 : Epoch  2, Batch   2216, Loss  0.859958, Average Loss  0.869077, Time  0.414287
2021-09-08 21:35:18.483170 : Epoch  2, Batch   2217, Loss  0.856119, Average Loss  0.869197, Time  0.447145
2021-09-08 21:35:20.102408 : Epoch  2, Batch   2218, Loss  0.873303, Average Loss  0.869165, Time  0.353572
2021-09-08 21:35:21.709620 : Epoch  2, Batch   2219, Loss  0.858154, Average Loss  0.869079, Time  0.352358
2021-09-08 21:35:23.420312 : Epoch  2, Batch   2220, Loss  0.873360, Average Loss  0.869075, Time  0.459561
2021-09-08 21:35:25.026648 : Epoch  2, Batch   2221, Loss  0.860280, Average Loss  0.869033, Time  0.367528
2021-09-08 21:35:26.646267 : Epoch  2, Batch   2222, Loss  0.829203, Average Loss  0.868815, Time  0.370553
2021-09-08 21:35:28.338827 : Epoch  2, Batch   2223, Loss  0.876281, Average Loss  0.868873, Time  0.455332
2021-09-08 21:35:30.069138 : Epoch  2, Batch   2224, Loss  0.879228, Average Loss  0.868775, Time  0.489042
2021-09-08 21:35:31.846641 : Epoch  2, Batch   2225, Loss  0.869731, Average Loss  0.868635, Time  0.504945
2021-09-08 21:35:33.632157 : Epoch  2, Batch   2226, Loss  0.842253, Average Loss  0.868613, Time  0.500873
2021-09-08 21:35:35.559034 : Epoch  2, Batch   2227, Loss  0.855161, Average Loss  0.868555, Time  0.501970
2021-09-08 21:35:37.507860 : Epoch  2, Batch   2228, Loss  0.858331, Average Loss  0.868572, Time  0.481968
2021-09-08 21:35:39.320890 : Epoch  2, Batch   2229, Loss  0.892922, Average Loss  0.868804, Time  0.357084
2021-09-08 21:35:41.090328 : Epoch  2, Batch   2230, Loss  0.865474, Average Loss  0.868815, Time  0.359276
2021-09-08 21:35:42.887606 : Epoch  2, Batch   2231, Loss  0.839142, Average Loss  0.868802, Time  0.390407
2021-09-08 21:35:44.794812 : Epoch  2, Batch   2232, Loss  0.874539, Average Loss  0.868747, Time  0.489013
2021-09-08 21:35:46.612256 : Epoch  2, Batch   2233, Loss  0.888773, Average Loss  0.868953, Time  0.438066
2021-09-08 21:35:48.494797 : Epoch  2, Batch   2234, Loss  0.884575, Average Loss  0.869126, Time  0.479698
2021-09-08 21:35:50.539367 : Epoch  2, Batch   2235, Loss  0.858941, Average Loss  0.869140, Time  0.633010
2021-09-08 21:35:52.430715 : Epoch  2, Batch   2236, Loss  0.873800, Average Loss  0.869308, Time  0.478114
2021-09-08 21:35:54.310181 : Epoch  2, Batch   2237, Loss  0.870816, Average Loss  0.869176, Time  0.465334
2021-09-08 21:35:56.131435 : Epoch  2, Batch   2238, Loss  0.900551, Average Loss  0.869448, Time  0.410031
2021-09-08 21:35:58.014848 : Epoch  2, Batch   2239, Loss  0.893394, Average Loss  0.869445, Time  0.470700
2021-09-08 21:35:59.915823 : Epoch  2, Batch   2240, Loss  0.868646, Average Loss  0.869277, Time  0.486528
2021-09-08 21:36:01.801491 : Epoch  2, Batch   2241, Loss  0.876429, Average Loss  0.869336, Time  0.476336
2021-09-08 21:36:03.682808 : Epoch  2, Batch   2242, Loss  0.864562, Average Loss  0.869279, Time  0.464883
2021-09-08 21:36:05.618705 : Epoch  2, Batch   2243, Loss  0.863094, Average Loss  0.869086, Time  0.476425
2021-09-08 21:36:07.525293 : Epoch  2, Batch   2244, Loss  0.885826, Average Loss  0.869130, Time  0.468994
2021-09-08 21:36:09.515346 : Epoch  2, Batch   2245, Loss  0.849332, Average Loss  0.869028, Time  0.565543
2021-09-08 21:36:11.499348 : Epoch  2, Batch   2246, Loss  0.862675, Average Loss  0.868934, Time  0.523098
2021-09-08 21:36:13.575198 : Epoch  2, Batch   2247, Loss  0.894129, Average Loss  0.869136, Time  0.617863
2021-09-08 21:36:15.551716 : Epoch  2, Batch   2248, Loss  0.874253, Average Loss  0.869168, Time  0.508831
2021-09-08 21:36:17.647340 : Epoch  2, Batch   2249, Loss  0.896180, Average Loss  0.869339, Time  0.637791
2021-09-08 21:36:19.604025 : Epoch  2, Batch   2250, Loss  0.857926, Average Loss  0.869267, Time  0.493215
2021-09-08 21:36:21.616063 : Epoch  2, Batch   2251, Loss  0.880357, Average Loss  0.869455, Time  0.551027
2021-09-08 21:36:23.592254 : Epoch  2, Batch   2252, Loss  0.879339, Average Loss  0.869507, Time  0.521334
2021-09-08 21:36:25.704240 : Epoch  2, Batch   2253, Loss  0.885962, Average Loss  0.869578, Time  0.648775
2021-09-08 21:36:27.670966 : Epoch  2, Batch   2254, Loss  0.865077, Average Loss  0.869678, Time  0.506057
2021-09-08 21:36:29.782045 : Epoch  2, Batch   2255, Loss  0.845265, Average Loss  0.869464, Time  0.663813
2021-09-08 21:36:31.681207 : Epoch  2, Batch   2256, Loss  0.899925, Average Loss  0.869660, Time  0.475741
2021-09-08 21:36:33.735973 : Epoch  2, Batch   2257, Loss  0.854815, Average Loss  0.869513, Time  0.577216
2021-09-08 21:36:35.634473 : Epoch  2, Batch   2258, Loss  0.886723, Average Loss  0.869544, Time  0.486006
2021-09-08 21:36:37.711158 : Epoch  2, Batch   2259, Loss  0.874718, Average Loss  0.869553, Time  0.618548
2021-09-08 21:36:39.666982 : Epoch  2, Batch   2260, Loss  0.881401, Average Loss  0.869660, Time  0.494453
2021-09-08 21:36:41.683696 : Epoch  2, Batch   2261, Loss  0.887423, Average Loss  0.869753, Time  0.611024
2021-09-08 21:36:43.546196 : Epoch  2, Batch   2262, Loss  0.879391, Average Loss  0.869701, Time  0.457542
2021-09-08 21:36:45.425573 : Epoch  2, Batch   2263, Loss  0.872737, Average Loss  0.869559, Time  0.472402
2021-09-08 21:36:47.333033 : Epoch  2, Batch   2264, Loss  0.858334, Average Loss  0.869436, Time  0.444664
2021-09-08 21:36:49.303134 : Epoch  2, Batch   2265, Loss  0.879743, Average Loss  0.869617, Time  0.515020
2021-09-08 21:36:51.271376 : Epoch  2, Batch   2266, Loss  0.854501, Average Loss  0.869554, Time  0.513846
2021-09-08 21:36:53.250565 : Epoch  2, Batch   2267, Loss  0.863845, Average Loss  0.869623, Time  0.522813
2021-09-08 21:36:55.349843 : Epoch  2, Batch   2268, Loss  0.869086, Average Loss  0.869697, Time  0.647644
2021-09-08 21:36:57.315823 : Epoch  2, Batch   2269, Loss  0.894374, Average Loss  0.869821, Time  0.512751
2021-09-08 21:36:59.398275 : Epoch  2, Batch   2270, Loss  0.870189, Average Loss  0.869991, Time  0.618184
2021-09-08 21:37:01.368230 : Epoch  2, Batch   2271, Loss  0.873193, Average Loss  0.869883, Time  0.517575
2021-09-08 21:37:03.483954 : Epoch  2, Batch   2272, Loss  0.852530, Average Loss  0.869916, Time  0.645214
2021-09-08 21:37:05.445834 : Epoch  2, Batch   2273, Loss  0.890918, Average Loss  0.870142, Time  0.502499
2021-09-08 21:37:07.465211 : Epoch  2, Batch   2274, Loss  0.836991, Average Loss  0.870009, Time  0.601020
2021-09-08 21:37:09.358337 : Epoch  2, Batch   2275, Loss  0.895601, Average Loss  0.870040, Time  0.483969
2021-09-08 21:37:11.337198 : Epoch  2, Batch   2276, Loss  0.891579, Average Loss  0.870190, Time  0.521230
2021-09-08 21:37:13.304813 : Epoch  2, Batch   2277, Loss  0.862426, Average Loss  0.870221, Time  0.509218
2021-09-08 21:37:15.250816 : Epoch  2, Batch   2278, Loss  0.857630, Average Loss  0.870288, Time  0.491206
2021-09-08 21:37:17.178478 : Epoch  2, Batch   2279, Loss  0.895616, Average Loss  0.870579, Time  0.473386
2021-09-08 21:37:19.139809 : Epoch  2, Batch   2280, Loss  0.873031, Average Loss  0.870635, Time  0.493767
2021-09-08 21:37:21.066550 : Epoch  2, Batch   2281, Loss  0.888064, Average Loss  0.870770, Time  0.510297
2021-09-08 21:37:22.966033 : Epoch  2, Batch   2282, Loss  0.862017, Average Loss  0.870716, Time  0.485100
2021-09-08 21:37:25.071510 : Epoch  2, Batch   2283, Loss  0.876412, Average Loss  0.870902, Time  0.661106
2021-09-08 21:37:27.010563 : Epoch  2, Batch   2284, Loss  0.862381, Average Loss  0.870922, Time  0.486453
2021-09-08 21:37:29.041483 : Epoch  2, Batch   2285, Loss  0.875536, Average Loss  0.871076, Time  0.623809
2021-09-08 21:37:30.927835 : Epoch  2, Batch   2286, Loss  0.857422, Average Loss  0.870994, Time  0.478691
2021-09-08 21:37:32.797501 : Epoch  2, Batch   2287, Loss  0.858742, Average Loss  0.871103, Time  0.453271
2021-09-08 21:37:34.703254 : Epoch  2, Batch   2288, Loss  0.879651, Average Loss  0.871175, Time  0.485234
2021-09-08 21:37:42.186753 : Epoch  2, Batch   2289, Loss  0.884843, Average Loss  0.871221, Time  0.600443
2021-09-08 21:42:35.209330 : CheckPoint: Validation Loss  0.00062963, Best Loss  0.00058177
2021-09-08 21:42:37.054503 : Epoch  2, Batch   2290, Loss  0.888255, Average Loss  0.871433, Time  0.429707
2021-09-08 21:42:38.893266 : Epoch  2, Batch   2291, Loss  0.863787, Average Loss  0.871333, Time  0.430997
2021-09-08 21:42:40.805376 : Epoch  2, Batch   2292, Loss  0.900542, Average Loss  0.871525, Time  0.460557
2021-09-08 21:42:42.648797 : Epoch  2, Batch   2293, Loss  0.846869, Average Loss  0.871445, Time  0.431429
2021-09-08 21:42:44.586842 : Epoch  2, Batch   2294, Loss  0.850174, Average Loss  0.871268, Time  0.515908
2021-09-08 21:42:46.416815 : Epoch  2, Batch   2295, Loss  0.871759, Average Loss  0.871178, Time  0.418236
2021-09-08 21:42:48.380820 : Epoch  2, Batch   2296, Loss  0.890730, Average Loss  0.871191, Time  0.544763
2021-09-08 21:42:50.220757 : Epoch  2, Batch   2297, Loss  0.893739, Average Loss  0.871361, Time  0.423886
2021-09-08 21:42:52.205167 : Epoch  2, Batch   2298, Loss  0.886479, Average Loss  0.871467, Time  0.527296
2021-09-08 21:42:54.124812 : Epoch  2, Batch   2299, Loss  0.891995, Average Loss  0.871632, Time  0.466473
2021-09-08 21:42:56.127724 : Epoch  2, Batch   2300, Loss  0.869024, Average Loss  0.871670, Time  0.545113
2021-09-08 21:42:58.037273 : Epoch  2, Batch   2301, Loss  0.865816, Average Loss  0.871904, Time  0.460947
2021-09-08 21:43:00.053749 : Epoch  2, Batch   2302, Loss  0.911989, Average Loss  0.872049, Time  0.559564
2021-09-08 21:43:01.979215 : Epoch  2, Batch   2303, Loss  0.844415, Average Loss  0.871865, Time  0.466499
2021-09-08 21:43:03.939872 : Epoch  2, Batch   2304, Loss  0.875184, Average Loss  0.871927, Time  0.499577
2021-09-08 21:43:05.864811 : Epoch  2, Batch   2305, Loss  0.857754, Average Loss  0.871897, Time  0.462662
2021-09-08 21:43:07.814879 : Epoch  2, Batch   2306, Loss  0.841148, Average Loss  0.871754, Time  0.500927
2021-09-08 21:43:09.738435 : Epoch  2, Batch   2307, Loss  0.891263, Average Loss  0.871804, Time  0.466469
2021-09-08 21:43:11.726259 : Epoch  2, Batch   2308, Loss  0.873686, Average Loss  0.871632, Time  0.535380
2021-09-08 21:43:13.649086 : Epoch  2, Batch   2309, Loss  0.887591, Average Loss  0.871739, Time  0.466182
2021-09-08 21:43:15.645767 : Epoch  2, Batch   2310, Loss  0.884289, Average Loss  0.871693, Time  0.541734
2021-09-08 21:43:17.563433 : Epoch  2, Batch   2311, Loss  0.867157, Average Loss  0.871697, Time  0.467271
2021-09-08 21:43:19.544901 : Epoch  2, Batch   2312, Loss  0.889496, Average Loss  0.871773, Time  0.518840
2021-09-08 21:43:21.465295 : Epoch  2, Batch   2313, Loss  0.884656, Average Loss  0.871889, Time  0.463950
2021-09-08 21:43:23.459691 : Epoch  2, Batch   2314, Loss  0.890861, Average Loss  0.871989, Time  0.542363
2021-09-08 21:43:25.385249 : Epoch  2, Batch   2315, Loss  0.855449, Average Loss  0.871791, Time  0.469504
2021-09-08 21:43:27.414254 : Epoch  2, Batch   2316, Loss  0.877642, Average Loss  0.871863, Time  0.563115
2021-09-08 21:43:29.340822 : Epoch  2, Batch   2317, Loss  0.860955, Average Loss  0.871785, Time  0.469503
2021-09-08 21:43:31.370332 : Epoch  2, Batch   2318, Loss  0.884139, Average Loss  0.871857, Time  0.573120
2021-09-08 21:43:33.286816 : Epoch  2, Batch   2319, Loss  0.856811, Average Loss  0.871800, Time  0.466396
2021-09-08 21:43:35.247124 : Epoch  2, Batch   2320, Loss  0.869454, Average Loss  0.871718, Time  0.532368
2021-09-08 21:43:37.104524 : Epoch  2, Batch   2321, Loss  0.858811, Average Loss  0.871643, Time  0.431522
2021-09-08 21:43:39.078855 : Epoch  2, Batch   2322, Loss  0.857665, Average Loss  0.871545, Time  0.513850
2021-09-08 21:43:41.003242 : Epoch  2, Batch   2323, Loss  0.878348, Average Loss  0.871636, Time  0.467295
2021-09-08 21:43:42.984248 : Epoch  2, Batch   2324, Loss  0.823398, Average Loss  0.871239, Time  0.525311
2021-09-08 21:43:44.917322 : Epoch  2, Batch   2325, Loss  0.842252, Average Loss  0.871041, Time  0.468418
2021-09-08 21:43:46.950820 : Epoch  2, Batch   2326, Loss  0.867720, Average Loss  0.870892, Time  0.581677
2021-09-08 21:43:48.878317 : Epoch  2, Batch   2327, Loss  0.858780, Average Loss  0.870804, Time  0.467775
2021-09-08 21:43:50.848850 : Epoch  2, Batch   2328, Loss  0.850757, Average Loss  0.870623, Time  0.517647
2021-09-08 21:43:52.767168 : Epoch  2, Batch   2329, Loss  0.863878, Average Loss  0.870563, Time  0.467875
2021-09-08 21:43:54.808837 : Epoch  2, Batch   2330, Loss  0.893139, Average Loss  0.870731, Time  0.584253
2021-09-08 21:43:56.734866 : Epoch  2, Batch   2331, Loss  0.877464, Average Loss  0.870799, Time  0.468250
2021-09-08 21:43:58.756616 : Epoch  2, Batch   2332, Loss  0.885779, Average Loss  0.870764, Time  0.555670
2021-09-08 21:44:00.675817 : Epoch  2, Batch   2333, Loss  0.862312, Average Loss  0.870727, Time  0.468081
2021-09-08 21:44:02.692847 : Epoch  2, Batch   2334, Loss  0.848170, Average Loss  0.870685, Time  0.558281
2021-09-08 21:44:04.612446 : Epoch  2, Batch   2335, Loss  0.879856, Average Loss  0.870721, Time  0.460916
2021-09-08 21:44:06.650158 : Epoch  2, Batch   2336, Loss  0.885898, Average Loss  0.870761, Time  0.586177
2021-09-08 21:44:08.581078 : Epoch  2, Batch   2337, Loss  0.879366, Average Loss  0.870867, Time  0.468761
2021-09-08 21:44:10.591871 : Epoch  2, Batch   2338, Loss  0.848435, Average Loss  0.870801, Time  0.552535
2021-09-08 21:44:12.522819 : Epoch  2, Batch   2339, Loss  0.895896, Average Loss  0.870926, Time  0.469291
2021-09-08 21:44:14.534897 : Epoch  2, Batch   2340, Loss  0.840516, Average Loss  0.870696, Time  0.549691
2021-09-08 21:44:16.437821 : Epoch  2, Batch   2341, Loss  0.926600, Average Loss  0.870932, Time  0.436850
2021-09-08 21:44:18.447818 : Epoch  2, Batch   2342, Loss  0.892524, Average Loss  0.870951, Time  0.549277
2021-09-08 21:44:20.362219 : Epoch  2, Batch   2343, Loss  0.860742, Average Loss  0.870772, Time  0.466947
2021-09-08 21:44:22.384498 : Epoch  2, Batch   2344, Loss  0.833231, Average Loss  0.870549, Time  0.560606
2021-09-08 21:44:24.304241 : Epoch  2, Batch   2345, Loss  0.878797, Average Loss  0.870593, Time  0.464929
2021-09-08 21:44:26.312812 : Epoch  2, Batch   2346, Loss  0.844195, Average Loss  0.870548, Time  0.556923
2021-09-08 21:44:28.230581 : Epoch  2, Batch   2347, Loss  0.877255, Average Loss  0.870701, Time  0.461273
2021-09-08 21:44:30.212980 : Epoch  2, Batch   2348, Loss  0.904441, Average Loss  0.870960, Time  0.529716
2021-09-08 21:44:32.138006 : Epoch  2, Batch   2349, Loss  0.852959, Average Loss  0.870900, Time  0.468156
2021-09-08 21:44:34.157861 : Epoch  2, Batch   2350, Loss  0.859027, Average Loss  0.870622, Time  0.557995
2021-09-08 21:44:36.017166 : Epoch  2, Batch   2351, Loss  0.837007, Average Loss  0.870531, Time  0.427120
2021-09-08 21:44:37.921862 : Epoch  2, Batch   2352, Loss  0.877753, Average Loss  0.870596, Time  0.471176
2021-09-08 21:44:39.809439 : Epoch  2, Batch   2353, Loss  0.869019, Average Loss  0.870791, Time  0.424614
2021-09-08 21:44:41.772452 : Epoch  2, Batch   2354, Loss  0.866236, Average Loss  0.870915, Time  0.544796
2021-09-08 21:44:43.719580 : Epoch  2, Batch   2355, Loss  0.900186, Average Loss  0.871041, Time  0.468629
2021-09-08 21:44:45.682742 : Epoch  2, Batch   2356, Loss  0.891389, Average Loss  0.871079, Time  0.506861
2021-09-08 21:44:47.606087 : Epoch  2, Batch   2357, Loss  0.873823, Average Loss  0.870996, Time  0.467956
2021-09-08 21:44:49.619625 : Epoch  2, Batch   2358, Loss  0.854664, Average Loss  0.870840, Time  0.552208
2021-09-08 21:44:51.529657 : Epoch  2, Batch   2359, Loss  0.861405, Average Loss  0.870868, Time  0.462472
2021-09-08 21:44:53.568496 : Epoch  2, Batch   2360, Loss  0.854124, Average Loss  0.870813, Time  0.584296
2021-09-08 21:44:55.490715 : Epoch  2, Batch   2361, Loss  0.871660, Average Loss  0.870859, Time  0.468204
2021-09-08 21:44:57.485036 : Epoch  2, Batch   2362, Loss  0.872679, Average Loss  0.870885, Time  0.527609
2021-09-08 21:44:59.418455 : Epoch  2, Batch   2363, Loss  0.840048, Average Loss  0.870608, Time  0.468119
2021-09-08 21:45:01.432917 : Epoch  2, Batch   2364, Loss  0.909792, Average Loss  0.870758, Time  0.561347
2021-09-08 21:45:03.364263 : Epoch  2, Batch   2365, Loss  0.852661, Average Loss  0.870837, Time  0.470876
2021-09-08 21:45:05.360337 : Epoch  2, Batch   2366, Loss  0.841383, Average Loss  0.870683, Time  0.556778
2021-09-08 21:45:07.198733 : Epoch  2, Batch   2367, Loss  0.868857, Average Loss  0.870785, Time  0.421922
2021-09-08 21:45:09.155403 : Epoch  2, Batch   2368, Loss  0.863870, Average Loss  0.870672, Time  0.541299
2021-09-08 21:45:11.083627 : Epoch  2, Batch   2369, Loss  0.904803, Average Loss  0.870868, Time  0.469192
2021-09-08 21:45:13.091264 : Epoch  2, Batch   2370, Loss  0.869241, Average Loss  0.870910, Time  0.552132
2021-09-08 21:45:14.925419 : Epoch  2, Batch   2371, Loss  0.892270, Average Loss  0.870963, Time  0.423172
2021-09-08 21:45:16.865081 : Epoch  2, Batch   2372, Loss  0.868210, Average Loss  0.871008, Time  0.523859
2021-09-08 21:45:18.705857 : Epoch  2, Batch   2373, Loss  0.862135, Average Loss  0.870965, Time  0.420949
2021-09-08 21:45:20.639157 : Epoch  2, Batch   2374, Loss  0.903071, Average Loss  0.871248, Time  0.512603
2021-09-08 21:45:22.549791 : Epoch  2, Batch   2375, Loss  0.877799, Average Loss  0.871347, Time  0.454729
2021-09-08 21:45:24.548514 : Epoch  2, Batch   2376, Loss  0.857697, Average Loss  0.871309, Time  0.547296
2021-09-08 21:45:26.458855 : Epoch  2, Batch   2377, Loss  0.868217, Average Loss  0.871254, Time  0.457071
2021-09-08 21:45:28.452961 : Epoch  2, Batch   2378, Loss  0.878048, Average Loss  0.871157, Time  0.539864
2021-09-08 21:45:30.295686 : Epoch  2, Batch   2379, Loss  0.861221, Average Loss  0.870970, Time  0.431121
2021-09-08 21:45:32.276391 : Epoch  2, Batch   2380, Loss  0.860005, Average Loss  0.870946, Time  0.516262
2021-09-08 21:45:34.128688 : Epoch  2, Batch   2381, Loss  0.870806, Average Loss  0.870997, Time  0.430053
2021-09-08 21:45:36.060946 : Epoch  2, Batch   2382, Loss  0.890642, Average Loss  0.871108, Time  0.507108
2021-09-08 21:45:37.903752 : Epoch  2, Batch   2383, Loss  0.901685, Average Loss  0.871286, Time  0.423983
2021-09-08 21:45:39.832396 : Epoch  2, Batch   2384, Loss  0.874128, Average Loss  0.871278, Time  0.466869
2021-09-08 21:45:41.761363 : Epoch  2, Batch   2385, Loss  0.852141, Average Loss  0.871269, Time  0.470685
2021-09-08 21:45:43.616385 : Epoch  2, Batch   2386, Loss  0.909009, Average Loss  0.871453, Time  0.434447
2021-09-08 21:45:45.474930 : Epoch  2, Batch   2387, Loss  0.859798, Average Loss  0.871365, Time  0.446475
2021-09-08 21:45:47.322538 : Epoch  2, Batch   2388, Loss  0.838710, Average Loss  0.871098, Time  0.428491
2021-09-08 21:45:49.248408 : Epoch  2, Batch   2389, Loss  0.869692, Average Loss  0.871110, Time  0.505291
2021-09-08 21:50:40.972082 : CheckPoint: Validation Loss  0.00059774, Best Loss  0.00058177
2021-09-08 21:50:42.819814 : Epoch  2, Batch   2390, Loss  0.893838, Average Loss  0.871211, Time  0.435398
2021-09-08 21:50:44.660220 : Epoch  2, Batch   2391, Loss  0.872630, Average Loss  0.871399, Time  0.419679
2021-09-08 21:50:46.504776 : Epoch  2, Batch   2392, Loss  0.887862, Average Loss  0.871475, Time  0.424108
2021-09-08 21:50:48.334001 : Epoch  2, Batch   2393, Loss  0.857773, Average Loss  0.871350, Time  0.419720
2021-09-08 21:50:50.173971 : Epoch  2, Batch   2394, Loss  0.906848, Average Loss  0.871586, Time  0.430604
2021-09-08 21:50:52.134630 : Epoch  2, Batch   2395, Loss  0.870974, Average Loss  0.871636, Time  0.543483
2021-09-08 21:50:53.968963 : Epoch  2, Batch   2396, Loss  0.856059, Average Loss  0.871495, Time  0.426583
2021-09-08 21:50:55.965817 : Epoch  2, Batch   2397, Loss  0.852219, Average Loss  0.871320, Time  0.535996
2021-09-08 21:50:57.863321 : Epoch  2, Batch   2398, Loss  0.873708, Average Loss  0.871379, Time  0.434370
2021-09-08 21:50:59.893571 : Epoch  2, Batch   2399, Loss  0.827766, Average Loss  0.871174, Time  0.578612
2021-09-08 21:51:01.816569 : Epoch  2, Batch   2400, Loss  0.860944, Average Loss  0.871211, Time  0.466697
2021-09-08 21:51:03.844909 : Epoch  2, Batch   2401, Loss  0.858305, Average Loss  0.871059, Time  0.568345
2021-09-08 21:51:05.762638 : Epoch  2, Batch   2402, Loss  0.863339, Average Loss  0.870953, Time  0.463825
2021-09-08 21:51:07.806908 : Epoch  2, Batch   2403, Loss  0.840629, Average Loss  0.870815, Time  0.589928
2021-09-08 21:51:09.732096 : Epoch  2, Batch   2404, Loss  0.867971, Average Loss  0.870845, Time  0.467932
2021-09-08 21:51:11.740154 : Epoch  2, Batch   2405, Loss  0.898484, Average Loss  0.870819, Time  0.542618
2021-09-08 21:51:13.660323 : Epoch  2, Batch   2406, Loss  0.867678, Average Loss  0.870806, Time  0.460887
2021-09-08 21:51:15.670595 : Epoch  2, Batch   2407, Loss  0.878720, Average Loss  0.870869, Time  0.546600
2021-09-08 21:51:17.597225 : Epoch  2, Batch   2408, Loss  0.884867, Average Loss  0.870856, Time  0.467182
2021-09-08 21:51:19.593099 : Epoch  2, Batch   2409, Loss  0.816709, Average Loss  0.870725, Time  0.544773
2021-09-08 21:51:21.511188 : Epoch  2, Batch   2410, Loss  0.849680, Average Loss  0.870743, Time  0.461601
2021-09-08 21:51:23.501047 : Epoch  2, Batch   2411, Loss  0.885426, Average Loss  0.870934, Time  0.527623
2021-09-08 21:51:25.340218 : Epoch  2, Batch   2412, Loss  0.855314, Average Loss  0.870890, Time  0.410665
2021-09-08 21:51:27.278913 : Epoch  2, Batch   2413, Loss  0.871485, Average Loss  0.870979, Time  0.527110
2021-09-08 21:51:29.118688 : Epoch  2, Batch   2414, Loss  0.823753, Average Loss  0.870691, Time  0.431028
2021-09-08 21:51:31.151256 : Epoch  2, Batch   2415, Loss  0.870822, Average Loss  0.870531, Time  0.581860
2021-09-08 21:51:33.072866 : Epoch  2, Batch   2416, Loss  0.874021, Average Loss  0.870601, Time  0.468564
2021-09-08 21:51:35.079818 : Epoch  2, Batch   2417, Loss  0.869091, Average Loss  0.870666, Time  0.549521
2021-09-08 21:51:37.005228 : Epoch  2, Batch   2418, Loss  0.864928, Average Loss  0.870624, Time  0.465075
2021-09-08 21:51:38.981321 : Epoch  2, Batch   2419, Loss  0.867978, Average Loss  0.870673, Time  0.523748
2021-09-08 21:51:40.903367 : Epoch  2, Batch   2420, Loss  0.866314, Average Loss  0.870638, Time  0.466985
2021-09-08 21:51:42.905815 : Epoch  2, Batch   2421, Loss  0.873474, Average Loss  0.870704, Time  0.548959
2021-09-08 21:51:44.829770 : Epoch  2, Batch   2422, Loss  0.835447, Average Loss  0.870735, Time  0.466129
2021-09-08 21:51:46.852867 : Epoch  2, Batch   2423, Loss  0.840740, Average Loss  0.870557, Time  0.564357
2021-09-08 21:51:48.772340 : Epoch  2, Batch   2424, Loss  0.887689, Average Loss  0.870600, Time  0.466003
2021-09-08 21:51:50.766843 : Epoch  2, Batch   2425, Loss  0.861982, Average Loss  0.870561, Time  0.550761
2021-09-08 21:51:52.610950 : Epoch  2, Batch   2426, Loss  0.869072, Average Loss  0.870695, Time  0.428347
2021-09-08 21:51:54.588648 : Epoch  2, Batch   2427, Loss  0.882271, Average Loss  0.870831, Time  0.549758
2021-09-08 21:51:56.431983 : Epoch  2, Batch   2428, Loss  0.875197, Average Loss  0.870915, Time  0.432532
2021-09-08 21:51:58.402254 : Epoch  2, Batch   2429, Loss  0.864080, Average Loss  0.870771, Time  0.558824
2021-09-08 21:52:00.241124 : Epoch  2, Batch   2430, Loss  0.886141, Average Loss  0.870874, Time  0.429619
2021-09-08 21:52:02.172932 : Epoch  2, Batch   2431, Loss  0.855133, Average Loss  0.870954, Time  0.522438
2021-09-08 21:52:04.017996 : Epoch  2, Batch   2432, Loss  0.861693, Average Loss  0.870890, Time  0.431422
2021-09-08 21:52:05.970195 : Epoch  2, Batch   2433, Loss  0.863682, Average Loss  0.870764, Time  0.534801
2021-09-08 21:52:07.803742 : Epoch  2, Batch   2434, Loss  0.833463, Average Loss  0.870509, Time  0.427205
2021-09-08 21:52:09.646528 : Epoch  2, Batch   2435, Loss  0.870422, Average Loss  0.870566, Time  0.432097
2021-09-08 21:52:11.495977 : Epoch  2, Batch   2436, Loss  0.837726, Average Loss  0.870386, Time  0.432110
2021-09-08 21:52:13.318789 : Epoch  2, Batch   2437, Loss  0.865774, Average Loss  0.870361, Time  0.406404
2021-09-08 21:52:15.170886 : Epoch  2, Batch   2438, Loss  0.835707, Average Loss  0.870036, Time  0.430839
2021-09-08 21:52:17.011011 : Epoch  2, Batch   2439, Loss  0.871915, Average Loss  0.869929, Time  0.429461
2021-09-08 21:52:18.938554 : Epoch  2, Batch   2440, Loss  0.893905, Average Loss  0.870055, Time  0.504758
2021-09-08 21:52:20.783837 : Epoch  2, Batch   2441, Loss  0.845773, Average Loss  0.869902, Time  0.433068
2021-09-08 21:52:22.755346 : Epoch  2, Batch   2442, Loss  0.884931, Average Loss  0.870004, Time  0.557586
2021-09-08 21:52:24.598813 : Epoch  2, Batch   2443, Loss  0.860457, Average Loss  0.869991, Time  0.431191
2021-09-08 21:52:26.568294 : Epoch  2, Batch   2444, Loss  0.865333, Average Loss  0.869888, Time  0.556315
2021-09-08 21:52:28.410940 : Epoch  2, Batch   2445, Loss  0.853776, Average Loss  0.869910, Time  0.431097
2021-09-08 21:52:30.458670 : Epoch  2, Batch   2446, Loss  0.875186, Average Loss  0.869973, Time  0.582976
2021-09-08 21:52:32.385874 : Epoch  2, Batch   2447, Loss  0.892745, Average Loss  0.869966, Time  0.466693
2021-09-08 21:52:34.359311 : Epoch  2, Batch   2448, Loss  0.887214, Average Loss  0.870031, Time  0.542260
2021-09-08 21:52:36.197073 : Epoch  2, Batch   2449, Loss  0.827488, Average Loss  0.869687, Time  0.424791
2021-09-08 21:52:38.179951 : Epoch  2, Batch   2450, Loss  0.890607, Average Loss  0.869851, Time  0.552367
2021-09-08 21:52:40.013453 : Epoch  2, Batch   2451, Loss  0.843759, Average Loss  0.869668, Time  0.428537
2021-09-08 21:52:41.964473 : Epoch  2, Batch   2452, Loss  0.845406, Average Loss  0.869498, Time  0.535598
2021-09-08 21:52:43.783681 : Epoch  2, Batch   2453, Loss  0.872213, Average Loss  0.869429, Time  0.412307
2021-09-08 21:52:45.744774 : Epoch  2, Batch   2454, Loss  0.866196, Average Loss  0.869435, Time  0.548994
2021-09-08 21:52:47.633977 : Epoch  2, Batch   2455, Loss  0.855793, Average Loss  0.869488, Time  0.472922
2021-09-08 21:52:49.583474 : Epoch  2, Batch   2456, Loss  0.880451, Average Loss  0.869390, Time  0.531667
2021-09-08 21:52:51.423414 : Epoch  2, Batch   2457, Loss  0.909515, Average Loss  0.869664, Time  0.429905
2021-09-08 21:52:53.396942 : Epoch  2, Batch   2458, Loss  0.831244, Average Loss  0.869386, Time  0.544815
2021-09-08 21:52:55.240765 : Epoch  2, Batch   2459, Loss  0.868487, Average Loss  0.869355, Time  0.432503
2021-09-08 21:52:57.236325 : Epoch  2, Batch   2460, Loss  0.849177, Average Loss  0.869194, Time  0.554035
2021-09-08 21:52:59.073561 : Epoch  2, Batch   2461, Loss  0.827445, Average Loss  0.868894, Time  0.432402
2021-09-08 21:53:01.041081 : Epoch  2, Batch   2462, Loss  0.859175, Average Loss  0.868793, Time  0.551760
2021-09-08 21:53:02.867893 : Epoch  2, Batch   2463, Loss  0.843140, Average Loss  0.868645, Time  0.413077
2021-09-08 21:53:04.806617 : Epoch  2, Batch   2464, Loss  0.848300, Average Loss  0.868595, Time  0.533593
2021-09-08 21:53:06.705093 : Epoch  2, Batch   2465, Loss  0.842929, Average Loss  0.868411, Time  0.446914
2021-09-08 21:53:08.736034 : Epoch  2, Batch   2466, Loss  0.887152, Average Loss  0.868574, Time  0.581092
2021-09-08 21:53:10.583020 : Epoch  2, Batch   2467, Loss  0.885563, Average Loss  0.868683, Time  0.435984
2021-09-08 21:53:12.599997 : Epoch  2, Batch   2468, Loss  0.884846, Average Loss  0.868762, Time  0.543194
2021-09-08 21:53:14.517223 : Epoch  2, Batch   2469, Loss  0.855890, Average Loss  0.868569, Time  0.468657
2021-09-08 21:53:16.542188 : Epoch  2, Batch   2470, Loss  0.860125, Average Loss  0.868519, Time  0.573983
2021-09-08 21:53:18.469248 : Epoch  2, Batch   2471, Loss  0.884910, Average Loss  0.868577, Time  0.462056
2021-09-08 21:53:20.457664 : Epoch  2, Batch   2472, Loss  0.874463, Average Loss  0.868687, Time  0.536773
2021-09-08 21:53:22.290797 : Epoch  2, Batch   2473, Loss  0.865531, Average Loss  0.868560, Time  0.421191
2021-09-08 21:53:24.194375 : Epoch  2, Batch   2474, Loss  0.870993, Average Loss  0.868730, Time  0.487708
2021-09-08 21:53:26.133866 : Epoch  2, Batch   2475, Loss  0.837756, Average Loss  0.868441, Time  0.469297
2021-09-08 21:53:28.161207 : Epoch  2, Batch   2476, Loss  0.855282, Average Loss  0.868259, Time  0.569340
2021-09-08 21:53:30.087975 : Epoch  2, Batch   2477, Loss  0.907313, Average Loss  0.868484, Time  0.455837
2021-09-08 21:53:32.124890 : Epoch  2, Batch   2478, Loss  0.850632, Average Loss  0.868449, Time  0.574202
2021-09-08 21:53:34.040842 : Epoch  2, Batch   2479, Loss  0.888375, Average Loss  0.868413, Time  0.461770
2021-09-08 21:53:36.075819 : Epoch  2, Batch   2480, Loss  0.887901, Average Loss  0.868487, Time  0.584875
2021-09-08 21:53:37.998744 : Epoch  2, Batch   2481, Loss  0.841534, Average Loss  0.868254, Time  0.466947
2021-09-08 21:53:39.988211 : Epoch  2, Batch   2482, Loss  0.877974, Average Loss  0.868334, Time  0.522590
2021-09-08 21:53:41.901952 : Epoch  2, Batch   2483, Loss  0.879997, Average Loss  0.868352, Time  0.463928
2021-09-08 21:53:43.937666 : Epoch  2, Batch   2484, Loss  0.874814, Average Loss  0.868414, Time  0.588350
2021-09-08 21:53:45.810818 : Epoch  2, Batch   2485, Loss  0.863033, Average Loss  0.868352, Time  0.463291
2021-09-08 21:53:47.849819 : Epoch  2, Batch   2486, Loss  0.867674, Average Loss  0.868403, Time  0.585101
2021-09-08 21:53:49.772012 : Epoch  2, Batch   2487, Loss  0.848545, Average Loss  0.868352, Time  0.469154
2021-09-08 21:53:51.746802 : Epoch  2, Batch   2488, Loss  0.871997, Average Loss  0.868314, Time  0.546659
2021-09-08 21:53:53.564758 : Epoch  2, Batch   2489, Loss  0.864900, Average Loss  0.868214, Time  0.412706
2021-09-08 21:58:47.695756 : CheckPoint: Validation Loss  0.00061542, Best Loss  0.00058177
2021-09-08 21:58:49.527733 : Epoch  2, Batch   2490, Loss  0.890109, Average Loss  0.868223, Time  0.430594
2021-09-08 21:58:51.362267 : Epoch  2, Batch   2491, Loss  0.849235, Average Loss  0.868150, Time  0.424300
2021-09-08 21:58:53.185524 : Epoch  2, Batch   2492, Loss  0.861340, Average Loss  0.867954, Time  0.418633
2021-09-08 21:58:55.033717 : Epoch  2, Batch   2493, Loss  0.840248, Average Loss  0.867921, Time  0.434231
2021-09-08 21:58:56.895100 : Epoch  2, Batch   2494, Loss  0.855518, Average Loss  0.867948, Time  0.438627
2021-09-08 21:58:58.729706 : Epoch  2, Batch   2495, Loss  0.880571, Average Loss  0.867992, Time  0.431481
2021-09-08 21:59:00.680768 : Epoch  2, Batch   2496, Loss  0.882523, Average Loss  0.867951, Time  0.548399
2021-09-08 21:59:02.520313 : Epoch  2, Batch   2497, Loss  0.861412, Average Loss  0.867789, Time  0.433024
2021-09-08 21:59:04.485434 : Epoch  2, Batch   2498, Loss  0.862736, Average Loss  0.867671, Time  0.553988
2021-09-08 21:59:06.459833 : Epoch  2, Batch   2499, Loss  0.859372, Average Loss  0.867508, Time  0.468428
2021-09-08 21:59:08.493365 : Epoch  2, Batch   2500, Loss  0.843328, Average Loss  0.867379, Time  0.581868
2021-09-08 21:59:10.412867 : Epoch  2, Batch   2501, Loss  0.860341, Average Loss  0.867352, Time  0.463925
2021-09-08 21:59:12.436936 : Epoch  2, Batch   2502, Loss  0.897595, Average Loss  0.867280, Time  0.571120
2021-09-08 21:59:14.363828 : Epoch  2, Batch   2503, Loss  0.869056, Average Loss  0.867403, Time  0.464856
2021-09-08 21:59:16.303869 : Epoch  2, Batch   2504, Loss  0.887495, Average Loss  0.867465, Time  0.519624
2021-09-08 21:59:18.144844 : Epoch  2, Batch   2505, Loss  0.867114, Average Loss  0.867511, Time  0.431162
2021-09-08 21:59:20.106846 : Epoch  2, Batch   2506, Loss  0.878609, Average Loss  0.867699, Time  0.552503
2021-09-08 21:59:21.950709 : Epoch  2, Batch   2507, Loss  0.855168, Average Loss  0.867518, Time  0.424783
2021-09-08 21:59:23.916710 : Epoch  2, Batch   2508, Loss  0.878795, Average Loss  0.867544, Time  0.557386
2021-09-08 21:59:25.740339 : Epoch  2, Batch   2509, Loss  0.885362, Average Loss  0.867533, Time  0.418900
2021-09-08 21:59:27.713432 : Epoch  2, Batch   2510, Loss  0.830757, Average Loss  0.867265, Time  0.556229
2021-09-08 21:59:29.548249 : Epoch  2, Batch   2511, Loss  0.844894, Average Loss  0.867154, Time  0.431847
2021-09-08 21:59:31.601177 : Epoch  2, Batch   2512, Loss  0.882475, Average Loss  0.867119, Time  0.594602
2021-09-08 21:59:33.515844 : Epoch  2, Batch   2513, Loss  0.850356, Average Loss  0.866947, Time  0.467300
2021-09-08 21:59:35.537280 : Epoch  2, Batch   2514, Loss  0.850991, Average Loss  0.866748, Time  0.575435
2021-09-08 21:59:37.450789 : Epoch  2, Batch   2515, Loss  0.915288, Average Loss  0.867047, Time  0.459939
2021-09-08 21:59:39.448808 : Epoch  2, Batch   2516, Loss  0.875056, Average Loss  0.867034, Time  0.547074
2021-09-08 21:59:41.371073 : Epoch  2, Batch   2517, Loss  0.858386, Average Loss  0.867021, Time  0.468997
2021-09-08 21:59:43.360521 : Epoch  2, Batch   2518, Loss  0.877848, Average Loss  0.866990, Time  0.578015
2021-09-08 21:59:45.203512 : Epoch  2, Batch   2519, Loss  0.852825, Average Loss  0.866970, Time  0.431289
2021-09-08 21:59:47.048842 : Epoch  2, Batch   2520, Loss  0.859568, Average Loss  0.866920, Time  0.431707
2021-09-08 21:59:48.981179 : Epoch  2, Batch   2521, Loss  0.874811, Average Loss  0.867000, Time  0.469128
2021-09-08 21:59:50.898802 : Epoch  2, Batch   2522, Loss  0.874309, Average Loss  0.867083, Time  0.467705
2021-09-08 21:59:52.820650 : Epoch  2, Batch   2523, Loss  0.855407, Average Loss  0.866969, Time  0.476020
2021-09-08 21:59:54.740953 : Epoch  2, Batch   2524, Loss  0.912670, Average Loss  0.867415, Time  0.467146
2021-09-08 21:59:56.735168 : Epoch  2, Batch   2525, Loss  0.854369, Average Loss  0.867476, Time  0.545240
2021-09-08 21:59:58.655689 : Epoch  2, Batch   2526, Loss  0.841157, Average Loss  0.867343, Time  0.467171
2021-09-08 22:00:00.625511 : Epoch  2, Batch   2527, Loss  0.897260, Average Loss  0.867535, Time  0.512473
2021-09-08 22:00:02.541814 : Epoch  2, Batch   2528, Loss  0.888911, Average Loss  0.867726, Time  0.463809
2021-09-08 22:00:04.534644 : Epoch  2, Batch   2529, Loss  0.871956, Average Loss  0.867766, Time  0.545685
2021-09-08 22:00:06.360159 : Epoch  2, Batch   2530, Loss  0.884344, Average Loss  0.867722, Time  0.423404
2021-09-08 22:00:08.324312 : Epoch  2, Batch   2531, Loss  0.870922, Average Loss  0.867690, Time  0.552395
2021-09-08 22:00:10.154940 : Epoch  2, Batch   2532, Loss  0.867512, Average Loss  0.867598, Time  0.420126
2021-09-08 22:00:12.122842 : Epoch  2, Batch   2533, Loss  0.860385, Average Loss  0.867589, Time  0.561338
2021-09-08 22:00:13.964770 : Epoch  2, Batch   2534, Loss  0.858734, Average Loss  0.867642, Time  0.432527
2021-09-08 22:00:15.929829 : Epoch  2, Batch   2535, Loss  0.875380, Average Loss  0.867619, Time  0.554261
2021-09-08 22:00:17.764726 : Epoch  2, Batch   2536, Loss  0.890663, Average Loss  0.867643, Time  0.427345
2021-09-08 22:00:19.803028 : Epoch  2, Batch   2537, Loss  0.882941, Average Loss  0.867661, Time  0.591599
2021-09-08 22:00:21.709235 : Epoch  2, Batch   2538, Loss  0.864178, Average Loss  0.867740, Time  0.459594
2021-09-08 22:00:23.705186 : Epoch  2, Batch   2539, Loss  0.888233, Average Loss  0.867701, Time  0.544687
2021-09-08 22:00:25.625611 : Epoch  2, Batch   2540, Loss  0.848017, Average Loss  0.867739, Time  0.468414
2021-09-08 22:00:27.630890 : Epoch  2, Batch   2541, Loss  0.867920, Average Loss  0.867445, Time  0.538800
2021-09-08 22:00:29.548149 : Epoch  2, Batch   2542, Loss  0.885062, Average Loss  0.867408, Time  0.466632
2021-09-08 22:00:31.511398 : Epoch  2, Batch   2543, Loss  0.879680, Average Loss  0.867503, Time  0.512861
2021-09-08 22:00:33.346933 : Epoch  2, Batch   2544, Loss  0.870571, Average Loss  0.867690, Time  0.425963
2021-09-08 22:00:35.300628 : Epoch  2, Batch   2545, Loss  0.860548, Average Loss  0.867598, Time  0.547373
2021-09-08 22:00:37.133404 : Epoch  2, Batch   2546, Loss  0.892506, Average Loss  0.867840, Time  0.425328
2021-09-08 22:00:39.104285 : Epoch  2, Batch   2547, Loss  0.890077, Average Loss  0.867904, Time  0.554705
2021-09-08 22:00:40.917414 : Epoch  2, Batch   2548, Loss  0.862008, Average Loss  0.867692, Time  0.410101
2021-09-08 22:00:42.877191 : Epoch  2, Batch   2549, Loss  0.865816, Average Loss  0.867756, Time  0.549936
2021-09-08 22:00:44.806011 : Epoch  2, Batch   2550, Loss  0.902725, Average Loss  0.867975, Time  0.479982
2021-09-08 22:00:46.809002 : Epoch  2, Batch   2551, Loss  0.894073, Average Loss  0.868260, Time  0.558010
2021-09-08 22:00:48.724865 : Epoch  2, Batch   2552, Loss  0.860384, Average Loss  0.868173, Time  0.468359
2021-09-08 22:00:50.708708 : Epoch  2, Batch   2553, Loss  0.890152, Average Loss  0.868279, Time  0.526156
2021-09-08 22:00:52.546127 : Epoch  2, Batch   2554, Loss  0.851264, Average Loss  0.868204, Time  0.431344
2021-09-08 22:00:54.496130 : Epoch  2, Batch   2555, Loss  0.882990, Average Loss  0.868118, Time  0.537978
2021-09-08 22:00:56.328396 : Epoch  2, Batch   2556, Loss  0.871721, Average Loss  0.868020, Time  0.427032
2021-09-08 22:00:58.292530 : Epoch  2, Batch   2557, Loss  0.886252, Average Loss  0.868082, Time  0.553953
2021-09-08 22:01:00.138811 : Epoch  2, Batch   2558, Loss  0.873335, Average Loss  0.868175, Time  0.432342
2021-09-08 22:01:02.118914 : Epoch  2, Batch   2559, Loss  0.897661, Average Loss  0.868356, Time  0.560244
2021-09-08 22:01:04.025757 : Epoch  2, Batch   2560, Loss  0.855524, Average Loss  0.868363, Time  0.454457
2021-09-08 22:01:06.071251 : Epoch  2, Batch   2561, Loss  0.878038, Average Loss  0.868395, Time  0.583492
2021-09-08 22:01:07.969263 : Epoch  2, Batch   2562, Loss  0.843171, Average Loss  0.868248, Time  0.452728
2021-09-08 22:01:10.021747 : Epoch  2, Batch   2563, Loss  0.871215, Average Loss  0.868404, Time  0.581384
2021-09-08 22:01:11.944445 : Epoch  2, Batch   2564, Loss  0.895764, Average Loss  0.868333, Time  0.467621
2021-09-08 22:01:13.977745 : Epoch  2, Batch   2565, Loss  0.878210, Average Loss  0.868461, Time  0.580006
2021-09-08 22:01:15.898598 : Epoch  2, Batch   2566, Loss  0.903256, Average Loss  0.868770, Time  0.457570
2021-09-08 22:01:17.927494 : Epoch  2, Batch   2567, Loss  0.848615, Average Loss  0.868669, Time  0.573258
2021-09-08 22:01:19.776296 : Epoch  2, Batch   2568, Loss  0.872625, Average Loss  0.868713, Time  0.430336
2021-09-08 22:01:21.854993 : Epoch  2, Batch   2569, Loss  0.908495, Average Loss  0.868732, Time  0.576640
2021-09-08 22:01:23.787326 : Epoch  2, Batch   2570, Loss  0.899084, Average Loss  0.868881, Time  0.467349
2021-09-08 22:01:25.730171 : Epoch  2, Batch   2571, Loss  0.866590, Average Loss  0.868752, Time  0.520091
2021-09-08 22:01:27.655509 : Epoch  2, Batch   2572, Loss  0.858106, Average Loss  0.868702, Time  0.467537
2021-09-08 22:01:29.660039 : Epoch  2, Batch   2573, Loss  0.872282, Average Loss  0.868753, Time  0.545616
2021-09-08 22:01:31.534877 : Epoch  2, Batch   2574, Loss  0.852233, Average Loss  0.868498, Time  0.422853
2021-09-08 22:01:33.506823 : Epoch  2, Batch   2575, Loss  0.854698, Average Loss  0.868383, Time  0.556719
2021-09-08 22:01:35.359564 : Epoch  2, Batch   2576, Loss  0.884308, Average Loss  0.868516, Time  0.431507
2021-09-08 22:01:37.334813 : Epoch  2, Batch   2577, Loss  0.872505, Average Loss  0.868537, Time  0.558372
2021-09-08 22:01:39.194247 : Epoch  2, Batch   2578, Loss  0.886680, Average Loss  0.868580, Time  0.430778
2021-09-08 22:01:41.176866 : Epoch  2, Batch   2579, Loss  0.876343, Average Loss  0.868656, Time  0.559753
2021-09-08 22:01:43.027366 : Epoch  2, Batch   2580, Loss  0.869407, Average Loss  0.868703, Time  0.432056
2021-09-08 22:01:44.953468 : Epoch  2, Batch   2581, Loss  0.882591, Average Loss  0.868762, Time  0.512535
2021-09-08 22:01:46.798669 : Epoch  2, Batch   2582, Loss  0.877556, Average Loss  0.868697, Time  0.431180
2021-09-08 22:01:48.654030 : Epoch  2, Batch   2583, Loss  0.869357, Average Loss  0.868535, Time  0.443205
2021-09-08 22:01:50.494535 : Epoch  2, Batch   2584, Loss  0.901051, Average Loss  0.868670, Time  0.428456
2021-09-08 22:01:52.357806 : Epoch  2, Batch   2585, Loss  0.816173, Average Loss  0.868490, Time  0.435847
2021-09-08 22:01:54.220325 : Epoch  2, Batch   2586, Loss  0.865232, Average Loss  0.868271, Time  0.432073
2021-09-08 22:01:56.072625 : Epoch  2, Batch   2587, Loss  0.866411, Average Loss  0.868304, Time  0.431628
2021-09-08 22:01:57.917552 : Epoch  2, Batch   2588, Loss  0.861715, Average Loss  0.868419, Time  0.430992
2021-09-08 22:01:59.761211 : Epoch  2, Batch   2589, Loss  0.860119, Average Loss  0.868371, Time  0.426748
2021-09-08 22:06:51.868759 : CheckPoint: Validation Loss  0.00061569, Best Loss  0.00058177
2021-09-08 22:06:53.694095 : Epoch  2, Batch   2590, Loss  0.872681, Average Loss  0.868265, Time  0.413802
2021-09-08 22:06:55.543431 : Epoch  2, Batch   2591, Loss  0.902467, Average Loss  0.868414, Time  0.433664
2021-09-08 22:06:57.389977 : Epoch  2, Batch   2592, Loss  0.844791, Average Loss  0.868199, Time  0.430174
2021-09-08 22:06:59.274131 : Epoch  2, Batch   2593, Loss  0.908184, Average Loss  0.868451, Time  0.472568
2021-09-08 22:07:01.126309 : Epoch  2, Batch   2594, Loss  0.850150, Average Loss  0.868168, Time  0.432462
2021-09-08 22:07:03.073753 : Epoch  2, Batch   2595, Loss  0.879084, Average Loss  0.868208, Time  0.524498
2021-09-08 22:07:04.913289 : Epoch  2, Batch   2596, Loss  0.902581, Average Loss  0.868441, Time  0.429693
2021-09-08 22:07:06.889195 : Epoch  2, Batch   2597, Loss  0.878403, Average Loss  0.868572, Time  0.560339
2021-09-08 22:07:08.739614 : Epoch  2, Batch   2598, Loss  0.854843, Average Loss  0.868477, Time  0.432954
2021-09-08 22:07:10.736136 : Epoch  2, Batch   2599, Loss  0.847743, Average Loss  0.868577, Time  0.556621
2021-09-08 22:07:12.582172 : Epoch  2, Batch   2600, Loss  0.880324, Average Loss  0.868674, Time  0.431762
2021-09-08 22:07:14.551531 : Epoch  2, Batch   2601, Loss  0.869774, Average Loss  0.868732, Time  0.554235
2021-09-08 22:07:16.428160 : Epoch  2, Batch   2602, Loss  0.881654, Average Loss  0.868823, Time  0.433553
2021-09-08 22:07:18.396956 : Epoch  2, Batch   2603, Loss  0.864430, Average Loss  0.868942, Time  0.550715
2021-09-08 22:07:20.232811 : Epoch  2, Batch   2604, Loss  0.886848, Average Loss  0.869037, Time  0.422519
2021-09-08 22:07:22.211240 : Epoch  2, Batch   2605, Loss  0.862659, Average Loss  0.868857, Time  0.557279
2021-09-08 22:07:24.130426 : Epoch  2, Batch   2606, Loss  0.847726, Average Loss  0.868758, Time  0.463464
2021-09-08 22:07:26.172233 : Epoch  2, Batch   2607, Loss  0.859051, Average Loss  0.868659, Time  0.584198
2021-09-08 22:07:28.093352 : Epoch  2, Batch   2608, Loss  0.853600, Average Loss  0.868503, Time  0.468302
2021-09-08 22:07:30.065336 : Epoch  2, Batch   2609, Loss  0.889120, Average Loss  0.868865, Time  0.551336
2021-09-08 22:07:31.913184 : Epoch  2, Batch   2610, Loss  0.878094, Average Loss  0.869007, Time  0.423988
2021-09-08 22:07:33.966773 : Epoch  2, Batch   2611, Loss  0.848388, Average Loss  0.868822, Time  0.590960
2021-09-08 22:07:35.823808 : Epoch  2, Batch   2612, Loss  0.888404, Average Loss  0.868987, Time  0.432768
2021-09-08 22:07:37.782615 : Epoch  2, Batch   2613, Loss  0.874818, Average Loss  0.869004, Time  0.539238
2021-09-08 22:07:39.632019 : Epoch  2, Batch   2614, Loss  0.847747, Average Loss  0.869124, Time  0.429922
2021-09-08 22:07:41.606364 : Epoch  2, Batch   2615, Loss  0.871827, Average Loss  0.869129, Time  0.552768
2021-09-08 22:07:43.531682 : Epoch  2, Batch   2616, Loss  0.881338, Average Loss  0.869166, Time  0.467869
2021-09-08 22:07:45.579172 : Epoch  2, Batch   2617, Loss  0.849022, Average Loss  0.869065, Time  0.589477
2021-09-08 22:07:47.513522 : Epoch  2, Batch   2618, Loss  0.887182, Average Loss  0.869177, Time  0.469799
2021-09-08 22:07:49.568939 : Epoch  2, Batch   2619, Loss  0.886353, Average Loss  0.869268, Time  0.592120
2021-09-08 22:07:51.412119 : Epoch  2, Batch   2620, Loss  0.878639, Average Loss  0.869330, Time  0.431007
2021-09-08 22:07:53.382010 : Epoch  2, Batch   2621, Loss  0.866090, Average Loss  0.869293, Time  0.547179
2021-09-08 22:07:55.276510 : Epoch  2, Batch   2622, Loss  0.882694, Average Loss  0.869529, Time  0.463819
2021-09-08 22:07:57.322250 : Epoch  2, Batch   2623, Loss  0.828258, Average Loss  0.869467, Time  0.590316
2021-09-08 22:07:59.173571 : Epoch  2, Batch   2624, Loss  0.862568, Average Loss  0.869341, Time  0.430627
2021-09-08 22:08:01.083682 : Epoch  2, Batch   2625, Loss  0.880489, Average Loss  0.869434, Time  0.485812
2021-09-08 22:08:02.936269 : Epoch  2, Batch   2626, Loss  0.885769, Average Loss  0.869517, Time  0.430076
2021-09-08 22:08:04.897920 : Epoch  2, Batch   2627, Loss  0.872655, Average Loss  0.869469, Time  0.548780
2021-09-08 22:08:06.752830 : Epoch  2, Batch   2628, Loss  0.869436, Average Loss  0.869440, Time  0.433690
2021-09-08 22:08:08.726985 : Epoch  2, Batch   2629, Loss  0.860238, Average Loss  0.869421, Time  0.550170
2021-09-08 22:08:10.560928 : Epoch  2, Batch   2630, Loss  0.847255, Average Loss  0.869227, Time  0.412107
2021-09-08 22:08:12.495819 : Epoch  2, Batch   2631, Loss  0.846375, Average Loss  0.869183, Time  0.514982
2021-09-08 22:08:14.338857 : Epoch  2, Batch   2632, Loss  0.862270, Average Loss  0.869186, Time  0.428062
2021-09-08 22:08:16.264109 : Epoch  2, Batch   2633, Loss  0.872959, Average Loss  0.869232, Time  0.499856
2021-09-08 22:08:18.115234 : Epoch  2, Batch   2634, Loss  0.873128, Average Loss  0.869431, Time  0.430506
2021-09-08 22:08:20.042516 : Epoch  2, Batch   2635, Loss  0.872187, Average Loss  0.869439, Time  0.506045
2021-09-08 22:08:21.888763 : Epoch  2, Batch   2636, Loss  0.888550, Average Loss  0.869694, Time  0.429863
2021-09-08 22:08:23.736306 : Epoch  2, Batch   2637, Loss  0.852279, Average Loss  0.869626, Time  0.426458
2021-09-08 22:08:25.589924 : Epoch  2, Batch   2638, Loss  0.853767, Average Loss  0.869716, Time  0.432169
2021-09-08 22:08:27.438150 : Epoch  2, Batch   2639, Loss  0.843395, Average Loss  0.869574, Time  0.429440
2021-09-08 22:08:29.364340 : Epoch  2, Batch   2640, Loss  0.835364, Average Loss  0.869281, Time  0.507448
2021-09-08 22:08:31.198051 : Epoch  2, Batch   2641, Loss  0.870175, Average Loss  0.869403, Time  0.421320
2021-09-08 22:08:33.119943 : Epoch  2, Batch   2642, Loss  0.886934, Average Loss  0.869413, Time  0.500995
2021-09-08 22:08:34.976234 : Epoch  2, Batch   2643, Loss  0.853454, Average Loss  0.869378, Time  0.432950
2021-09-08 22:08:36.834896 : Epoch  2, Batch   2644, Loss  0.879462, Average Loss  0.869449, Time  0.432217
2021-09-08 22:08:38.692252 : Epoch  2, Batch   2645, Loss  0.855861, Average Loss  0.869459, Time  0.436207
2021-09-08 22:08:40.549541 : Epoch  2, Batch   2646, Loss  0.848305, Average Loss  0.869325, Time  0.433537
2021-09-08 22:08:42.483208 : Epoch  2, Batch   2647, Loss  0.888711, Average Loss  0.869305, Time  0.510347
2021-09-08 22:08:44.301466 : Epoch  2, Batch   2648, Loss  0.868456, Average Loss  0.869211, Time  0.396827
2021-09-08 22:08:46.147138 : Epoch  2, Batch   2649, Loss  0.873698, Average Loss  0.869442, Time  0.431444
2021-09-08 22:08:48.051930 : Epoch  2, Batch   2650, Loss  0.865908, Average Loss  0.869318, Time  0.484059
2021-09-08 22:08:49.935228 : Epoch  2, Batch   2651, Loss  0.902904, Average Loss  0.869614, Time  0.431325
2021-09-08 22:08:51.862275 : Epoch  2, Batch   2652, Loss  0.853326, Average Loss  0.869654, Time  0.506097
2021-09-08 22:08:53.728161 : Epoch  2, Batch   2653, Loss  0.869416, Average Loss  0.869640, Time  0.431790
2021-09-08 22:08:55.601092 : Epoch  2, Batch   2654, Loss  0.895842, Average Loss  0.869788, Time  0.442115
2021-09-08 22:08:57.448326 : Epoch  2, Batch   2655, Loss  0.878723, Average Loss  0.869903, Time  0.430850
2021-09-08 22:08:59.299469 : Epoch  2, Batch   2656, Loss  0.849950, Average Loss  0.869750, Time  0.433900
2021-09-08 22:09:01.152368 : Epoch  2, Batch   2657, Loss  0.878740, Average Loss  0.869596, Time  0.434072
2021-09-08 22:09:02.990296 : Epoch  2, Batch   2658, Loss  0.882234, Average Loss  0.869851, Time  0.422575
2021-09-08 22:09:04.872852 : Epoch  2, Batch   2659, Loss  0.821551, Average Loss  0.869616, Time  0.461361
2021-09-08 22:09:06.719442 : Epoch  2, Batch   2660, Loss  0.901717, Average Loss  0.869879, Time  0.424179
2021-09-08 22:09:08.684963 : Epoch  2, Batch   2661, Loss  0.864013, Average Loss  0.870062, Time  0.544550
2021-09-08 22:09:10.517251 : Epoch  2, Batch   2662, Loss  0.878850, Average Loss  0.870160, Time  0.414547
2021-09-08 22:09:12.548821 : Epoch  2, Batch   2663, Loss  0.851243, Average Loss  0.870201, Time  0.567047
2021-09-08 22:09:14.480294 : Epoch  2, Batch   2664, Loss  0.866874, Average Loss  0.870294, Time  0.469178
2021-09-08 22:09:16.499270 : Epoch  2, Batch   2665, Loss  0.867739, Average Loss  0.870418, Time  0.552874
2021-09-08 22:09:18.423500 : Epoch  2, Batch   2666, Loss  0.872055, Average Loss  0.870342, Time  0.466287
2021-09-08 22:09:20.398628 : Epoch  2, Batch   2667, Loss  0.869778, Average Loss  0.870263, Time  0.519236
2021-09-08 22:09:22.322251 : Epoch  2, Batch   2668, Loss  0.854346, Average Loss  0.870111, Time  0.464194
2021-09-08 22:09:24.347639 : Epoch  2, Batch   2669, Loss  0.879807, Average Loss  0.870231, Time  0.563771
2021-09-08 22:09:26.265769 : Epoch  2, Batch   2670, Loss  0.863818, Average Loss  0.870249, Time  0.463261
2021-09-08 22:09:28.224385 : Epoch  2, Batch   2671, Loss  0.874240, Average Loss  0.870196, Time  0.498981
2021-09-08 22:09:30.136967 : Epoch  2, Batch   2672, Loss  0.857517, Average Loss  0.870111, Time  0.459526
2021-09-08 22:09:32.093856 : Epoch  2, Batch   2673, Loss  0.857621, Average Loss  0.870071, Time  0.540460
2021-09-08 22:09:33.925227 : Epoch  2, Batch   2674, Loss  0.868141, Average Loss  0.870057, Time  0.415700
2021-09-08 22:09:35.869814 : Epoch  2, Batch   2675, Loss  0.889290, Average Loss  0.870315, Time  0.528351
2021-09-08 22:09:37.720714 : Epoch  2, Batch   2676, Loss  0.879916, Average Loss  0.870438, Time  0.430866
2021-09-08 22:09:39.722454 : Epoch  2, Batch   2677, Loss  0.867498, Average Loss  0.870239, Time  0.545498
2021-09-08 22:09:41.643854 : Epoch  2, Batch   2678, Loss  0.874572, Average Loss  0.870359, Time  0.468585
2021-09-08 22:09:43.652865 : Epoch  2, Batch   2679, Loss  0.872531, Average Loss  0.870279, Time  0.554024
2021-09-08 22:09:45.501541 : Epoch  2, Batch   2680, Loss  0.868170, Average Loss  0.870181, Time  0.426179
2021-09-08 22:09:47.469019 : Epoch  2, Batch   2681, Loss  0.859221, Average Loss  0.870269, Time  0.555392
2021-09-08 22:09:49.322867 : Epoch  2, Batch   2682, Loss  0.876731, Average Loss  0.870263, Time  0.430623
2021-09-08 22:09:51.285321 : Epoch  2, Batch   2683, Loss  0.860124, Average Loss  0.870164, Time  0.543082
2021-09-08 22:09:53.126797 : Epoch  2, Batch   2684, Loss  0.881205, Average Loss  0.870195, Time  0.422280
2021-09-08 22:09:55.103762 : Epoch  2, Batch   2685, Loss  0.895741, Average Loss  0.870359, Time  0.558504
2021-09-08 22:09:56.954960 : Epoch  2, Batch   2686, Loss  0.848540, Average Loss  0.870263, Time  0.429995
2021-09-08 22:09:58.930859 : Epoch  2, Batch   2687, Loss  0.861218, Average Loss  0.870327, Time  0.559793
2021-09-08 22:10:00.775116 : Epoch  2, Batch   2688, Loss  0.844683, Average Loss  0.870190, Time  0.429750
2021-09-08 22:10:02.747811 : Epoch  2, Batch   2689, Loss  0.877748, Average Loss  0.870254, Time  0.553845
2021-09-08 22:14:48.385080 : CheckPoint: Validation Loss  0.00061066, Best Loss  0.00058177
2021-09-08 22:14:50.084056 : Epoch  2, Batch   2690, Loss  0.873798, Average Loss  0.870173, Time  0.437118
2021-09-08 22:14:51.684000 : Epoch  2, Batch   2691, Loss  0.911672, Average Loss  0.870485, Time  0.353095
2021-09-08 22:14:53.273264 : Epoch  2, Batch   2692, Loss  0.886339, Average Loss  0.870610, Time  0.352935
2021-09-08 22:14:54.971741 : Epoch  2, Batch   2693, Loss  0.862044, Average Loss  0.870719, Time  0.465083
2021-09-08 22:14:56.655088 : Epoch  2, Batch   2694, Loss  0.870675, Average Loss  0.870795, Time  0.447151
2021-09-08 22:14:58.249059 : Epoch  2, Batch   2695, Loss  0.878991, Average Loss  0.870787, Time  0.356717
2021-09-08 22:14:59.851322 : Epoch  2, Batch   2696, Loss  0.869229, Average Loss  0.870720, Time  0.352939
2021-09-08 22:15:01.533068 : Epoch  2, Batch   2697, Loss  0.862354, Average Loss  0.870725, Time  0.436575
2021-09-08 22:15:03.224387 : Epoch  2, Batch   2698, Loss  0.854761, Average Loss  0.870685, Time  0.457371
2021-09-08 22:15:04.814240 : Epoch  2, Batch   2699, Loss  0.869143, Average Loss  0.870734, Time  0.354539
2021-09-08 22:15:06.414211 : Epoch  2, Batch   2700, Loss  0.884616, Average Loss  0.870941, Time  0.352936
2021-09-08 22:15:08.086434 : Epoch  2, Batch   2701, Loss  0.866819, Average Loss  0.870973, Time  0.423099
2021-09-08 22:15:09.778783 : Epoch  2, Batch   2702, Loss  0.865586, Average Loss  0.870813, Time  0.455041
2021-09-08 22:15:11.359960 : Epoch  2, Batch   2703, Loss  0.866913, Average Loss  0.870802, Time  0.353693
2021-09-08 22:15:13.006301 : Epoch  2, Batch   2704, Loss  0.855646, Average Loss  0.870643, Time  0.353742
2021-09-08 22:15:14.696644 : Epoch  2, Batch   2705, Loss  0.844058, Average Loss  0.870528, Time  0.411484
2021-09-08 22:15:16.451476 : Epoch  2, Batch   2706, Loss  0.868610, Average Loss  0.870478, Time  0.457642
2021-09-08 22:15:18.099668 : Epoch  2, Batch   2707, Loss  0.885813, Average Loss  0.870631, Time  0.356624
2021-09-08 22:15:19.797277 : Epoch  2, Batch   2708, Loss  0.861172, Average Loss  0.870543, Time  0.356563
2021-09-08 22:15:21.540159 : Epoch  2, Batch   2709, Loss  0.886079, Average Loss  0.870546, Time  0.438548
2021-09-08 22:15:23.265315 : Epoch  2, Batch   2710, Loss  0.835432, Average Loss  0.870570, Time  0.458523
2021-09-08 22:15:24.880970 : Epoch  2, Batch   2711, Loss  0.851917, Average Loss  0.870605, Time  0.353969
2021-09-08 22:15:26.501844 : Epoch  2, Batch   2712, Loss  0.867586, Average Loss  0.870530, Time  0.355546
2021-09-08 22:15:28.192044 : Epoch  2, Batch   2713, Loss  0.866290, Average Loss  0.870610, Time  0.410451
2021-09-08 22:15:29.929630 : Epoch  2, Batch   2714, Loss  0.856970, Average Loss  0.870640, Time  0.462064
2021-09-08 22:15:31.544755 : Epoch  2, Batch   2715, Loss  0.864249, Average Loss  0.870385, Time  0.353447
2021-09-08 22:15:33.168648 : Epoch  2, Batch   2716, Loss  0.867660, Average Loss  0.870348, Time  0.354089
2021-09-08 22:15:34.832015 : Epoch  2, Batch   2717, Loss  0.889748, Average Loss  0.870505, Time  0.416088
2021-09-08 22:15:36.529748 : Epoch  2, Batch   2718, Loss  0.874689, Average Loss  0.870489, Time  0.413341
2021-09-08 22:15:38.144936 : Epoch  2, Batch   2719, Loss  0.876869, Average Loss  0.870609, Time  0.351399
2021-09-08 22:15:39.815905 : Epoch  2, Batch   2720, Loss  0.895847, Average Loss  0.870790, Time  0.397874
2021-09-08 22:15:41.496015 : Epoch  2, Batch   2721, Loss  0.874125, Average Loss  0.870787, Time  0.413955
2021-09-08 22:15:43.095139 : Epoch  2, Batch   2722, Loss  0.890117, Average Loss  0.870866, Time  0.351863
2021-09-08 22:15:44.735357 : Epoch  2, Batch   2723, Loss  0.876663, Average Loss  0.870972, Time  0.406454
2021-09-08 22:15:46.377973 : Epoch  2, Batch   2724, Loss  0.851227, Average Loss  0.870665, Time  0.407393
2021-09-08 22:15:47.986473 : Epoch  2, Batch   2725, Loss  0.880187, Average Loss  0.870794, Time  0.353383
2021-09-08 22:15:49.653547 : Epoch  2, Batch   2726, Loss  0.870114, Average Loss  0.870939, Time  0.411399
2021-09-08 22:15:51.319935 : Epoch  2, Batch   2727, Loss  0.850673, Average Loss  0.870706, Time  0.412076
2021-09-08 22:15:52.916481 : Epoch  2, Batch   2728, Loss  0.861003, Average Loss  0.870567, Time  0.351411
2021-09-08 22:15:54.567727 : Epoch  2, Batch   2729, Loss  0.845644, Average Loss  0.870435, Time  0.414489
2021-09-08 22:15:56.229461 : Epoch  2, Batch   2730, Loss  0.894677, Average Loss  0.870487, Time  0.411439
2021-09-08 22:15:57.833310 : Epoch  2, Batch   2731, Loss  0.866656, Average Loss  0.870465, Time  0.353944
2021-09-08 22:15:59.500538 : Epoch  2, Batch   2732, Loss  0.882499, Average Loss  0.870540, Time  0.403800
2021-09-08 22:16:01.148897 : Epoch  2, Batch   2733, Loss  0.857430, Average Loss  0.870525, Time  0.408381
2021-09-08 22:16:02.739856 : Epoch  2, Batch   2734, Loss  0.874672, Average Loss  0.870605, Time  0.352712
2021-09-08 22:16:04.389616 : Epoch  2, Batch   2735, Loss  0.866389, Average Loss  0.870560, Time  0.414261
2021-09-08 22:16:06.025075 : Epoch  2, Batch   2736, Loss  0.908361, Average Loss  0.870649, Time  0.395239
2021-09-08 22:16:07.607135 : Epoch  2, Batch   2737, Loss  0.846543, Average Loss  0.870467, Time  0.353298
2021-09-08 22:16:09.271088 : Epoch  2, Batch   2738, Loss  0.872100, Average Loss  0.870506, Time  0.417170
2021-09-08 22:16:10.923736 : Epoch  2, Batch   2739, Loss  0.861056, Average Loss  0.870370, Time  0.367478
2021-09-08 22:16:12.544604 : Epoch  2, Batch   2740, Loss  0.870396, Average Loss  0.870482, Time  0.352516
2021-09-08 22:16:14.238515 : Epoch  2, Batch   2741, Loss  0.851377, Average Loss  0.870400, Time  0.418463
2021-09-08 22:16:15.891322 : Epoch  2, Batch   2742, Loss  0.860384, Average Loss  0.870276, Time  0.357634
2021-09-08 22:16:17.529267 : Epoch  2, Batch   2743, Loss  0.865942, Average Loss  0.870207, Time  0.379711
2021-09-08 22:16:19.200807 : Epoch  2, Batch   2744, Loss  0.864890, Average Loss  0.870179, Time  0.368370
2021-09-08 22:16:20.815793 : Epoch  2, Batch   2745, Loss  0.850720, Average Loss  0.870130, Time  0.353555
2021-09-08 22:16:22.491958 : Epoch  2, Batch   2746, Loss  0.857912, Average Loss  0.869957, Time  0.410709
2021-09-08 22:16:24.124874 : Epoch  2, Batch   2747, Loss  0.871676, Average Loss  0.869865, Time  0.356833
2021-09-08 22:16:25.730205 : Epoch  2, Batch   2748, Loss  0.839401, Average Loss  0.869752, Time  0.360015
2021-09-08 22:16:27.417335 : Epoch  2, Batch   2749, Loss  0.848609, Average Loss  0.869666, Time  0.411354
2021-09-08 22:16:29.035259 : Epoch  2, Batch   2750, Loss  0.866697, Average Loss  0.869486, Time  0.354788
2021-09-08 22:16:30.721492 : Epoch  2, Batch   2751, Loss  0.883479, Average Loss  0.869433, Time  0.414129
2021-09-08 22:16:32.451647 : Epoch  2, Batch   2752, Loss  0.839868, Average Loss  0.869330, Time  0.430475
2021-09-08 22:16:34.071796 : Epoch  2, Batch   2753, Loss  0.885773, Average Loss  0.869308, Time  0.354216
2021-09-08 22:16:35.683375 : Epoch  2, Batch   2754, Loss  0.853507, Average Loss  0.869320, Time  0.353171
2021-09-08 22:16:37.426040 : Epoch  2, Batch   2755, Loss  0.872279, Average Loss  0.869266, Time  0.458247
2021-09-08 22:16:39.089002 : Epoch  2, Batch   2756, Loss  0.901635, Average Loss  0.869416, Time  0.366230
2021-09-08 22:16:40.718638 : Epoch  2, Batch   2757, Loss  0.867280, Average Loss  0.869321, Time  0.354479
2021-09-08 22:16:42.346224 : Epoch  2, Batch   2758, Loss  0.880612, Average Loss  0.869357, Time  0.355705
2021-09-08 22:16:44.092821 : Epoch  2, Batch   2759, Loss  0.854171, Average Loss  0.869140, Time  0.457720
2021-09-08 22:16:45.735676 : Epoch  2, Batch   2760, Loss  0.858529, Average Loss  0.869155, Time  0.355372
2021-09-08 22:16:47.355255 : Epoch  2, Batch   2761, Loss  0.892862, Average Loss  0.869229, Time  0.355886
2021-09-08 22:16:49.059374 : Epoch  2, Batch   2762, Loss  0.871556, Average Loss  0.869371, Time  0.438915
2021-09-08 22:16:50.795561 : Epoch  2, Batch   2763, Loss  0.872813, Average Loss  0.869379, Time  0.452163
2021-09-08 22:16:52.437668 : Epoch  2, Batch   2764, Loss  0.873148, Average Loss  0.869266, Time  0.357472
2021-09-08 22:16:54.056392 : Epoch  2, Batch   2765, Loss  0.854948, Average Loss  0.869149, Time  0.353531
2021-09-08 22:16:55.790571 : Epoch  2, Batch   2766, Loss  0.861628, Average Loss  0.868941, Time  0.454702
2021-09-08 22:16:57.541575 : Epoch  2, Batch   2767, Loss  0.883338, Average Loss  0.869115, Time  0.455527
2021-09-08 22:16:59.191638 : Epoch  2, Batch   2768, Loss  0.865770, Average Loss  0.869080, Time  0.356218
2021-09-08 22:17:00.808032 : Epoch  2, Batch   2769, Loss  0.892954, Average Loss  0.869003, Time  0.352892
2021-09-08 22:17:02.537801 : Epoch  2, Batch   2770, Loss  0.867686, Average Loss  0.868846, Time  0.447675
2021-09-08 22:17:04.261512 : Epoch  2, Batch   2771, Loss  0.848696, Average Loss  0.868756, Time  0.451659
2021-09-08 22:17:05.894449 : Epoch  2, Batch   2772, Loss  0.842544, Average Loss  0.868679, Time  0.356810
2021-09-08 22:17:07.525221 : Epoch  2, Batch   2773, Loss  0.890059, Average Loss  0.868767, Time  0.354525
2021-09-08 22:17:09.237688 : Epoch  2, Batch   2774, Loss  0.857292, Average Loss  0.868793, Time  0.448555
2021-09-08 22:17:10.968352 : Epoch  2, Batch   2775, Loss  0.856550, Average Loss  0.868802, Time  0.451583
2021-09-08 22:17:12.597709 : Epoch  2, Batch   2776, Loss  0.874152, Average Loss  0.868751, Time  0.355801
2021-09-08 22:17:14.215453 : Epoch  2, Batch   2777, Loss  0.894465, Average Loss  0.868861, Time  0.355879
2021-09-08 22:17:15.950615 : Epoch  2, Batch   2778, Loss  0.895795, Average Loss  0.868907, Time  0.450946
2021-09-08 22:17:17.732406 : Epoch  2, Batch   2779, Loss  0.865902, Average Loss  0.868854, Time  0.448358
2021-09-08 22:17:19.361466 : Epoch  2, Batch   2780, Loss  0.887956, Average Loss  0.868947, Time  0.356005
2021-09-08 22:17:20.969680 : Epoch  2, Batch   2781, Loss  0.873765, Average Loss  0.868903, Time  0.352790
2021-09-08 22:17:22.688590 : Epoch  2, Batch   2782, Loss  0.875857, Average Loss  0.868894, Time  0.450823
2021-09-08 22:17:24.423115 : Epoch  2, Batch   2783, Loss  0.880379, Average Loss  0.868950, Time  0.450437
2021-09-08 22:17:26.053579 : Epoch  2, Batch   2784, Loss  0.882373, Average Loss  0.868856, Time  0.355572
2021-09-08 22:17:27.666010 : Epoch  2, Batch   2785, Loss  0.868621, Average Loss  0.869118, Time  0.353800
2021-09-08 22:17:29.384456 : Epoch  2, Batch   2786, Loss  0.884822, Average Loss  0.869216, Time  0.449703
2021-09-08 22:17:31.116087 : Epoch  2, Batch   2787, Loss  0.878069, Average Loss  0.869275, Time  0.450317
2021-09-08 22:17:32.751703 : Epoch  2, Batch   2788, Loss  0.870141, Average Loss  0.869317, Time  0.355624
2021-09-08 22:17:34.356117 : Epoch  2, Batch   2789, Loss  0.885795, Average Loss  0.869445, Time  0.353189
2021-09-08 22:21:59.548799 : CheckPoint: Validation Loss  0.00062179, Best Loss  0.00058177
2021-09-08 22:22:01.210999 : Epoch  2, Batch   2790, Loss  0.859148, Average Loss  0.869377, Time  0.391875
2021-09-08 22:22:02.964060 : Epoch  2, Batch   2791, Loss  0.863621, Average Loss  0.869183, Time  0.460811
2021-09-08 22:22:04.593860 : Epoch  2, Batch   2792, Loss  0.855243, Average Loss  0.869236, Time  0.354660
2021-09-08 22:22:06.221200 : Epoch  2, Batch   2793, Loss  0.884199, Average Loss  0.869116, Time  0.353249
2021-09-08 22:22:07.920542 : Epoch  2, Batch   2794, Loss  0.874091, Average Loss  0.869235, Time  0.404432
2021-09-08 22:22:09.679188 : Epoch  2, Batch   2795, Loss  0.903360, Average Loss  0.869357, Time  0.462170
2021-09-08 22:22:11.306135 : Epoch  2, Batch   2796, Loss  0.885808, Average Loss  0.869273, Time  0.351827
2021-09-08 22:22:12.939342 : Epoch  2, Batch   2797, Loss  0.872052, Average Loss  0.869241, Time  0.352800
2021-09-08 22:22:14.626622 : Epoch  2, Batch   2798, Loss  0.874676, Average Loss  0.869340, Time  0.408914
2021-09-08 22:22:16.380917 : Epoch  2, Batch   2799, Loss  0.842002, Average Loss  0.869312, Time  0.463358
2021-09-08 22:22:18.028404 : Epoch  2, Batch   2800, Loss  0.841346, Average Loss  0.869117, Time  0.353516
2021-09-08 22:22:19.677353 : Epoch  2, Batch   2801, Loss  0.889493, Average Loss  0.869215, Time  0.353853
2021-09-08 22:22:21.366054 : Epoch  2, Batch   2802, Loss  0.847655, Average Loss  0.869045, Time  0.406670
2021-09-08 22:22:23.113908 : Epoch  2, Batch   2803, Loss  0.844558, Average Loss  0.868946, Time  0.462684
2021-09-08 22:22:24.745081 : Epoch  2, Batch   2804, Loss  0.885285, Average Loss  0.868938, Time  0.353201
2021-09-08 22:22:26.373794 : Epoch  2, Batch   2805, Loss  0.887949, Average Loss  0.869065, Time  0.353520
2021-09-08 22:22:28.058992 : Epoch  2, Batch   2806, Loss  0.877139, Average Loss  0.869212, Time  0.406217
2021-09-08 22:22:29.799966 : Epoch  2, Batch   2807, Loss  0.859474, Average Loss  0.869214, Time  0.462902
2021-09-08 22:22:31.431245 : Epoch  2, Batch   2808, Loss  0.868798, Average Loss  0.869290, Time  0.352989
2021-09-08 22:22:33.070874 : Epoch  2, Batch   2809, Loss  0.830043, Average Loss  0.868994, Time  0.353827
2021-09-08 22:22:34.756053 : Epoch  2, Batch   2810, Loss  0.860127, Average Loss  0.868904, Time  0.406623
2021-09-08 22:22:36.495710 : Epoch  2, Batch   2811, Loss  0.861011, Average Loss  0.868968, Time  0.459956
2021-09-08 22:22:38.130556 : Epoch  2, Batch   2812, Loss  0.840833, Average Loss  0.868730, Time  0.353202
2021-09-08 22:22:39.761532 : Epoch  2, Batch   2813, Loss  0.868784, Average Loss  0.868700, Time  0.353462
2021-09-08 22:22:41.448371 : Epoch  2, Batch   2814, Loss  0.882190, Average Loss  0.868872, Time  0.410249
2021-09-08 22:22:43.188562 : Epoch  2, Batch   2815, Loss  0.887208, Average Loss  0.868949, Time  0.464229
2021-09-08 22:22:44.839873 : Epoch  2, Batch   2816, Loss  0.909260, Average Loss  0.869088, Time  0.354464
2021-09-08 22:22:46.481362 : Epoch  2, Batch   2817, Loss  0.884854, Average Loss  0.869267, Time  0.353670
2021-09-08 22:22:48.164141 : Epoch  2, Batch   2818, Loss  0.862603, Average Loss  0.869145, Time  0.407304
2021-09-08 22:22:49.902040 : Epoch  2, Batch   2819, Loss  0.856039, Average Loss  0.868993, Time  0.462287
2021-09-08 22:22:51.537776 : Epoch  2, Batch   2820, Loss  0.854645, Average Loss  0.868873, Time  0.353678
2021-09-08 22:22:53.162382 : Epoch  2, Batch   2821, Loss  0.848102, Average Loss  0.868783, Time  0.352742
2021-09-08 22:22:54.845732 : Epoch  2, Batch   2822, Loss  0.884671, Average Loss  0.868793, Time  0.412690
2021-09-08 22:22:56.578109 : Epoch  2, Batch   2823, Loss  0.850064, Average Loss  0.868902, Time  0.461014
2021-09-08 22:22:58.210810 : Epoch  2, Batch   2824, Loss  0.853661, Average Loss  0.868857, Time  0.353951
2021-09-08 22:22:59.853699 : Epoch  2, Batch   2825, Loss  0.868725, Average Loss  0.868799, Time  0.353777
2021-09-08 22:23:01.555928 : Epoch  2, Batch   2826, Loss  0.845556, Average Loss  0.868598, Time  0.411676
2021-09-08 22:23:03.293320 : Epoch  2, Batch   2827, Loss  0.873705, Average Loss  0.868603, Time  0.462977
2021-09-08 22:23:04.924146 : Epoch  2, Batch   2828, Loss  0.858136, Average Loss  0.868546, Time  0.353543
2021-09-08 22:23:06.552806 : Epoch  2, Batch   2829, Loss  0.875865, Average Loss  0.868624, Time  0.353180
2021-09-08 22:23:08.240376 : Epoch  2, Batch   2830, Loss  0.849594, Average Loss  0.868636, Time  0.409983
2021-09-08 22:23:09.977239 : Epoch  2, Batch   2831, Loss  0.878535, Average Loss  0.868797, Time  0.461735
2021-09-08 22:23:11.606623 : Epoch  2, Batch   2832, Loss  0.852388, Average Loss  0.868748, Time  0.353391
2021-09-08 22:23:13.246762 : Epoch  2, Batch   2833, Loss  0.850446, Average Loss  0.868635, Time  0.354069
2021-09-08 22:23:14.958816 : Epoch  2, Batch   2834, Loss  0.873559, Average Loss  0.868637, Time  0.417847
2021-09-08 22:23:16.699517 : Epoch  2, Batch   2835, Loss  0.884220, Average Loss  0.868697, Time  0.461200
2021-09-08 22:23:18.331592 : Epoch  2, Batch   2836, Loss  0.872501, Average Loss  0.868617, Time  0.353286
2021-09-08 22:23:19.968137 : Epoch  2, Batch   2837, Loss  0.860374, Average Loss  0.868658, Time  0.351442
2021-09-08 22:23:21.660760 : Epoch  2, Batch   2838, Loss  0.846831, Average Loss  0.868623, Time  0.415656
2021-09-08 22:23:23.416352 : Epoch  2, Batch   2839, Loss  0.895422, Average Loss  0.868883, Time  0.458623
2021-09-08 22:23:25.065029 : Epoch  2, Batch   2840, Loss  0.850079, Average Loss  0.868957, Time  0.354362
2021-09-08 22:23:26.714144 : Epoch  2, Batch   2841, Loss  0.899237, Average Loss  0.869102, Time  0.353436
2021-09-08 22:23:28.421142 : Epoch  2, Batch   2842, Loss  0.876469, Average Loss  0.869050, Time  0.412942
2021-09-08 22:23:30.194238 : Epoch  2, Batch   2843, Loss  0.834158, Average Loss  0.868953, Time  0.462096
2021-09-08 22:23:31.825932 : Epoch  2, Batch   2844, Loss  0.894797, Average Loss  0.869030, Time  0.352658
2021-09-08 22:23:33.459146 : Epoch  2, Batch   2845, Loss  0.885332, Average Loss  0.869177, Time  0.352927
2021-09-08 22:23:35.136789 : Epoch  2, Batch   2846, Loss  0.843404, Average Loss  0.869153, Time  0.403088
2021-09-08 22:23:36.870468 : Epoch  2, Batch   2847, Loss  0.903222, Average Loss  0.869225, Time  0.460340
2021-09-08 22:23:38.515287 : Epoch  2, Batch   2848, Loss  0.858131, Average Loss  0.869174, Time  0.353176
2021-09-08 22:23:40.158765 : Epoch  2, Batch   2849, Loss  0.878606, Average Loss  0.869198, Time  0.353737
2021-09-08 22:23:41.844466 : Epoch  2, Batch   2850, Loss  0.897914, Average Loss  0.869358, Time  0.408600
2021-09-08 22:23:43.592566 : Epoch  2, Batch   2851, Loss  0.851171, Average Loss  0.869099, Time  0.459146
2021-09-08 22:23:45.237082 : Epoch  2, Batch   2852, Loss  0.851366, Average Loss  0.869090, Time  0.354613
2021-09-08 22:23:46.865388 : Epoch  2, Batch   2853, Loss  0.866007, Average Loss  0.869073, Time  0.352681
2021-09-08 22:23:48.567962 : Epoch  2, Batch   2854, Loss  0.867289, Average Loss  0.868930, Time  0.414066
2021-09-08 22:23:50.320665 : Epoch  2, Batch   2855, Loss  0.859316, Average Loss  0.868833, Time  0.462309
2021-09-08 22:23:51.950527 : Epoch  2, Batch   2856, Loss  0.885443, Average Loss  0.869010, Time  0.353499
2021-09-08 22:23:53.581850 : Epoch  2, Batch   2857, Loss  0.837852, Average Loss  0.868806, Time  0.351576
2021-09-08 22:23:55.272236 : Epoch  2, Batch   2858, Loss  0.871723, Average Loss  0.868753, Time  0.409037
2021-09-08 22:23:57.010079 : Epoch  2, Batch   2859, Loss  0.859801, Average Loss  0.868944, Time  0.460771
2021-09-08 22:23:58.646092 : Epoch  2, Batch   2860, Loss  0.892857, Average Loss  0.868900, Time  0.353367
2021-09-08 22:24:00.274658 : Epoch  2, Batch   2861, Loss  0.859623, Average Loss  0.868878, Time  0.352697
2021-09-08 22:24:01.962421 : Epoch  2, Batch   2862, Loss  0.894156, Average Loss  0.868955, Time  0.409641
2021-09-08 22:24:03.706568 : Epoch  2, Batch   2863, Loss  0.861531, Average Loss  0.869006, Time  0.457987
2021-09-08 22:24:05.358739 : Epoch  2, Batch   2864, Loss  0.858617, Average Loss  0.868965, Time  0.355382
2021-09-08 22:24:07.000045 : Epoch  2, Batch   2865, Loss  0.878084, Average Loss  0.869017, Time  0.352054
2021-09-08 22:24:08.683763 : Epoch  2, Batch   2866, Loss  0.884572, Average Loss  0.869079, Time  0.410006
2021-09-08 22:24:10.423158 : Epoch  2, Batch   2867, Loss  0.868659, Average Loss  0.869074, Time  0.462976
2021-09-08 22:24:12.057081 : Epoch  2, Batch   2868, Loss  0.845081, Average Loss  0.869027, Time  0.352809
2021-09-08 22:24:13.693400 : Epoch  2, Batch   2869, Loss  0.861942, Average Loss  0.868938, Time  0.354123
2021-09-08 22:24:15.378659 : Epoch  2, Batch   2870, Loss  0.872464, Average Loss  0.868981, Time  0.407039
2021-09-08 22:24:17.114554 : Epoch  2, Batch   2871, Loss  0.884322, Average Loss  0.869032, Time  0.462461
2021-09-08 22:24:18.749520 : Epoch  2, Batch   2872, Loss  0.862629, Average Loss  0.869057, Time  0.355135
2021-09-08 22:24:20.394640 : Epoch  2, Batch   2873, Loss  0.862855, Average Loss  0.869083, Time  0.354711
2021-09-08 22:24:22.084169 : Epoch  2, Batch   2874, Loss  0.870462, Average Loss  0.869095, Time  0.405853
2021-09-08 22:24:23.826002 : Epoch  2, Batch   2875, Loss  0.840340, Average Loss  0.868850, Time  0.460985
2021-09-08 22:24:25.457346 : Epoch  2, Batch   2876, Loss  0.826163, Average Loss  0.868581, Time  0.353192
2021-09-08 22:24:27.088152 : Epoch  2, Batch   2877, Loss  0.889904, Average Loss  0.868693, Time  0.353883
2021-09-08 22:24:28.771730 : Epoch  2, Batch   2878, Loss  0.885859, Average Loss  0.868750, Time  0.407393
2021-09-08 22:24:30.506634 : Epoch  2, Batch   2879, Loss  0.879226, Average Loss  0.868783, Time  0.462148
2021-09-08 22:24:32.145403 : Epoch  2, Batch   2880, Loss  0.865105, Average Loss  0.868768, Time  0.352940
2021-09-08 22:24:33.779034 : Epoch  2, Batch   2881, Loss  0.865774, Average Loss  0.868801, Time  0.354804
2021-09-08 22:24:35.489033 : Epoch  2, Batch   2882, Loss  0.883071, Average Loss  0.868833, Time  0.414038
2021-09-08 22:24:37.235674 : Epoch  2, Batch   2883, Loss  0.877450, Average Loss  0.868919, Time  0.464258
2021-09-08 22:24:38.868599 : Epoch  2, Batch   2884, Loss  0.838491, Average Loss  0.868706, Time  0.352625
2021-09-08 22:24:40.496722 : Epoch  2, Batch   2885, Loss  0.847103, Average Loss  0.868462, Time  0.352146
2021-09-08 22:24:42.185383 : Epoch  2, Batch   2886, Loss  0.891424, Average Loss  0.868677, Time  0.410200
2021-09-08 22:24:43.928023 : Epoch  2, Batch   2887, Loss  0.839257, Average Loss  0.868567, Time  0.463351
2021-09-08 22:24:45.562255 : Epoch  2, Batch   2888, Loss  0.862917, Average Loss  0.868658, Time  0.353163
2021-09-08 22:24:47.196243 : Epoch  2, Batch   2889, Loss  0.883357, Average Loss  0.868686, Time  0.354571
2021-09-08 22:29:12.844243 : CheckPoint: Validation Loss  0.00059678, Best Loss  0.00058177
2021-09-08 22:29:14.553914 : Epoch  2, Batch   2890, Loss  0.852647, Average Loss  0.868580, Time  0.428585
2021-09-08 22:29:16.292843 : Epoch  2, Batch   2891, Loss  0.882651, Average Loss  0.868435, Time  0.460868
2021-09-08 22:29:17.925742 : Epoch  2, Batch   2892, Loss  0.854082, Average Loss  0.868274, Time  0.354600
2021-09-08 22:29:19.565919 : Epoch  2, Batch   2893, Loss  0.858804, Average Loss  0.868258, Time  0.352615
2021-09-08 22:29:21.250623 : Epoch  2, Batch   2894, Loss  0.836284, Average Loss  0.868086, Time  0.416358
2021-09-08 22:29:22.988087 : Epoch  2, Batch   2895, Loss  0.831679, Average Loss  0.867849, Time  0.461978
2021-09-08 22:29:24.637196 : Epoch  2, Batch   2896, Loss  0.866536, Average Loss  0.867836, Time  0.354455
2021-09-08 22:29:26.263085 : Epoch  2, Batch   2897, Loss  0.849704, Average Loss  0.867773, Time  0.352584
2021-09-08 22:29:27.943444 : Epoch  2, Batch   2898, Loss  0.851180, Average Loss  0.867755, Time  0.410283
2021-09-08 22:29:29.688317 : Epoch  2, Batch   2899, Loss  0.861771, Average Loss  0.867718, Time  0.459156
2021-09-08 22:29:31.319014 : Epoch  2, Batch   2900, Loss  0.860561, Average Loss  0.867598, Time  0.353543
2021-09-08 22:29:32.948555 : Epoch  2, Batch   2901, Loss  0.857673, Average Loss  0.867552, Time  0.352175
2021-09-08 22:29:34.636720 : Epoch  2, Batch   2902, Loss  0.864545, Average Loss  0.867547, Time  0.411395
2021-09-08 22:29:36.368187 : Epoch  2, Batch   2903, Loss  0.866820, Average Loss  0.867546, Time  0.459557
2021-09-08 22:29:38.001054 : Epoch  2, Batch   2904, Loss  0.884236, Average Loss  0.867689, Time  0.354066
2021-09-08 22:29:39.624497 : Epoch  2, Batch   2905, Loss  0.855329, Average Loss  0.867746, Time  0.352551
2021-09-08 22:29:41.333736 : Epoch  2, Batch   2906, Loss  0.866499, Average Loss  0.867735, Time  0.417442
2021-09-08 22:29:43.088643 : Epoch  2, Batch   2907, Loss  0.896914, Average Loss  0.867790, Time  0.461479
2021-09-08 22:29:44.735257 : Epoch  2, Batch   2908, Loss  0.871100, Average Loss  0.867840, Time  0.353266
2021-09-08 22:29:46.378840 : Epoch  2, Batch   2909, Loss  0.907954, Average Loss  0.867949, Time  0.353757
2021-09-08 22:29:48.066788 : Epoch  2, Batch   2910, Loss  0.843884, Average Loss  0.867992, Time  0.410006
2021-09-08 22:29:49.801852 : Epoch  2, Batch   2911, Loss  0.871053, Average Loss  0.868087, Time  0.459641
2021-09-08 22:29:51.448364 : Epoch  2, Batch   2912, Loss  0.892174, Average Loss  0.868210, Time  0.353967
2021-09-08 22:29:53.068122 : Epoch  2, Batch   2913, Loss  0.875780, Average Loss  0.868258, Time  0.352908
2021-09-08 22:29:54.753495 : Epoch  2, Batch   2914, Loss  0.862755, Average Loss  0.868287, Time  0.413975
2021-09-08 22:29:56.484187 : Epoch  2, Batch   2915, Loss  0.856212, Average Loss  0.868247, Time  0.461193
2021-09-08 22:29:58.118247 : Epoch  2, Batch   2916, Loss  0.847293, Average Loss  0.868145, Time  0.354230
2021-09-08 22:29:59.754423 : Epoch  2, Batch   2917, Loss  0.888148, Average Loss  0.868137, Time  0.353091
2021-09-08 22:30:01.458834 : Epoch  2, Batch   2918, Loss  0.863845, Average Loss  0.868082, Time  0.416235
2021-09-08 22:30:03.214218 : Epoch  2, Batch   2919, Loss  0.866020, Average Loss  0.868028, Time  0.462511
2021-09-08 22:30:04.849696 : Epoch  2, Batch   2920, Loss  0.873566, Average Loss  0.867917, Time  0.354055
2021-09-08 22:30:06.484992 : Epoch  2, Batch   2921, Loss  0.892114, Average Loss  0.868007, Time  0.353938
2021-09-08 22:30:08.166405 : Epoch  2, Batch   2922, Loss  0.869863, Average Loss  0.867906, Time  0.413055
2021-09-08 22:30:09.899978 : Epoch  2, Batch   2923, Loss  0.847126, Average Loss  0.867758, Time  0.463001
2021-09-08 22:30:11.530392 : Epoch  2, Batch   2924, Loss  0.873462, Average Loss  0.867869, Time  0.353707
2021-09-08 22:30:13.194508 : Epoch  2, Batch   2925, Loss  0.866341, Average Loss  0.867800, Time  0.353838
2021-09-08 22:30:14.913669 : Epoch  2, Batch   2926, Loss  0.846072, Average Loss  0.867680, Time  0.411257
2021-09-08 22:30:16.667719 : Epoch  2, Batch   2927, Loss  0.864925, Average Loss  0.867751, Time  0.462901
2021-09-08 22:30:18.293714 : Epoch  2, Batch   2928, Loss  0.849421, Average Loss  0.867693, Time  0.353905
2021-09-08 22:30:19.918663 : Epoch  2, Batch   2929, Loss  0.871198, Average Loss  0.867821, Time  0.354428
2021-09-08 22:30:21.620288 : Epoch  2, Batch   2930, Loss  0.889731, Average Loss  0.867796, Time  0.411882
2021-09-08 22:30:23.371096 : Epoch  2, Batch   2931, Loss  0.848549, Average Loss  0.867705, Time  0.459517
2021-09-08 22:30:25.012755 : Epoch  2, Batch   2932, Loss  0.873939, Average Loss  0.867663, Time  0.352899
2021-09-08 22:30:26.631047 : Epoch  2, Batch   2933, Loss  0.848374, Average Loss  0.867617, Time  0.351088
2021-09-08 22:30:28.315437 : Epoch  2, Batch   2934, Loss  0.863566, Average Loss  0.867562, Time  0.415269
2021-09-08 22:30:30.044767 : Epoch  2, Batch   2935, Loss  0.863085, Average Loss  0.867545, Time  0.461947
2021-09-08 22:30:31.691945 : Epoch  2, Batch   2936, Loss  0.866716, Average Loss  0.867337, Time  0.353159
2021-09-08 22:30:33.333872 : Epoch  2, Batch   2937, Loss  0.862411, Average Loss  0.867416, Time  0.353918
2021-09-08 22:30:35.031937 : Epoch  2, Batch   2938, Loss  0.819965, Average Loss  0.867156, Time  0.410867
2021-09-08 22:30:36.785317 : Epoch  2, Batch   2939, Loss  0.886217, Average Loss  0.867282, Time  0.459827
2021-09-08 22:30:38.437080 : Epoch  2, Batch   2940, Loss  0.851182, Average Loss  0.867185, Time  0.353005
2021-09-08 22:30:40.061718 : Epoch  2, Batch   2941, Loss  0.849805, Average Loss  0.867178, Time  0.351419
2021-09-08 22:30:41.746910 : Epoch  2, Batch   2942, Loss  0.867162, Average Loss  0.867211, Time  0.409921
2021-09-08 22:30:43.478919 : Epoch  2, Batch   2943, Loss  0.876288, Average Loss  0.867263, Time  0.461510
2021-09-08 22:30:45.097950 : Epoch  2, Batch   2944, Loss  0.864191, Average Loss  0.867260, Time  0.353120
2021-09-08 22:30:46.732019 : Epoch  2, Batch   2945, Loss  0.878764, Average Loss  0.867400, Time  0.352660
2021-09-08 22:30:48.415378 : Epoch  2, Batch   2946, Loss  0.859297, Average Loss  0.867407, Time  0.411585
2021-09-08 22:30:50.160265 : Epoch  2, Batch   2947, Loss  0.838508, Average Loss  0.867241, Time  0.461583
2021-09-08 22:30:51.815947 : Epoch  2, Batch   2948, Loss  0.896815, Average Loss  0.867528, Time  0.353865
2021-09-08 22:30:53.462084 : Epoch  2, Batch   2949, Loss  0.862556, Average Loss  0.867598, Time  0.353081
2021-09-08 22:30:55.155704 : Epoch  2, Batch   2950, Loss  0.895568, Average Loss  0.867742, Time  0.414689
2021-09-08 22:30:56.888697 : Epoch  2, Batch   2951, Loss  0.842797, Average Loss  0.867539, Time  0.459693
2021-09-08 22:30:58.518095 : Epoch  2, Batch   2952, Loss  0.884336, Average Loss  0.867761, Time  0.354650
2021-09-08 22:31:00.138770 : Epoch  2, Batch   2953, Loss  0.866574, Average Loss  0.867665, Time  0.352249
2021-09-08 22:31:01.825659 : Epoch  2, Batch   2954, Loss  0.843517, Average Loss  0.867615, Time  0.414776
2021-09-08 22:31:03.560792 : Epoch  2, Batch   2955, Loss  0.866557, Average Loss  0.867587, Time  0.464181
2021-09-08 22:31:05.193290 : Epoch  2, Batch   2956, Loss  0.844067, Average Loss  0.867299, Time  0.353915
2021-09-08 22:31:06.821233 : Epoch  2, Batch   2957, Loss  0.863350, Average Loss  0.867279, Time  0.354530
2021-09-08 22:31:08.512396 : Epoch  2, Batch   2958, Loss  0.863488, Average Loss  0.867193, Time  0.406205
2021-09-08 22:31:10.245752 : Epoch  2, Batch   2959, Loss  0.853684, Average Loss  0.867191, Time  0.461760
2021-09-08 22:31:11.828823 : Epoch  2, Batch   2960, Loss  0.910115, Average Loss  0.867449, Time  0.353240
2021-09-08 22:31:13.412110 : Epoch  2, Batch   2961, Loss  0.848986, Average Loss  0.867230, Time  0.351391
2021-09-08 22:31:15.059694 : Epoch  2, Batch   2962, Loss  0.880296, Average Loss  0.867273, Time  0.416968
2021-09-08 22:31:16.751510 : Epoch  2, Batch   2963, Loss  0.883141, Average Loss  0.867325, Time  0.462983
2021-09-08 22:31:18.345925 : Epoch  2, Batch   2964, Loss  0.880682, Average Loss  0.867363, Time  0.351918
2021-09-08 22:31:19.945071 : Epoch  2, Batch   2965, Loss  0.849088, Average Loss  0.867333, Time  0.352528
2021-09-08 22:31:21.614567 : Epoch  2, Batch   2966, Loss  0.870855, Average Loss  0.867379, Time  0.419965
2021-09-08 22:31:23.316788 : Epoch  2, Batch   2967, Loss  0.873083, Average Loss  0.867328, Time  0.457665
2021-09-08 22:31:24.921341 : Epoch  2, Batch   2968, Loss  0.905808, Average Loss  0.867528, Time  0.353827
2021-09-08 22:31:26.520264 : Epoch  2, Batch   2969, Loss  0.834358, Average Loss  0.867235, Time  0.355335
2021-09-08 22:31:28.186806 : Epoch  2, Batch   2970, Loss  0.878015, Average Loss  0.867287, Time  0.422904
2021-09-08 22:31:29.892235 : Epoch  2, Batch   2971, Loss  0.873650, Average Loss  0.867412, Time  0.459543
2021-09-08 22:31:31.498530 : Epoch  2, Batch   2972, Loss  0.870551, Average Loss  0.867552, Time  0.353638
2021-09-08 22:31:33.102646 : Epoch  2, Batch   2973, Loss  0.838015, Average Loss  0.867292, Time  0.356099
2021-09-08 22:31:34.813813 : Epoch  2, Batch   2974, Loss  0.841126, Average Loss  0.867211, Time  0.418883
2021-09-08 22:31:36.544061 : Epoch  2, Batch   2975, Loss  0.860150, Average Loss  0.867229, Time  0.457224
2021-09-08 22:31:38.176124 : Epoch  2, Batch   2976, Loss  0.866808, Average Loss  0.867192, Time  0.354631
2021-09-08 22:31:39.801234 : Epoch  2, Batch   2977, Loss  0.883353, Average Loss  0.867136, Time  0.355951
2021-09-08 22:31:41.466991 : Epoch  2, Batch   2978, Loss  0.854239, Average Loss  0.866929, Time  0.425591
2021-09-08 22:31:43.216035 : Epoch  2, Batch   2979, Loss  0.871370, Average Loss  0.866956, Time  0.463302
2021-09-08 22:31:44.841250 : Epoch  2, Batch   2980, Loss  0.864625, Average Loss  0.866839, Time  0.352987
2021-09-08 22:31:46.439039 : Epoch  2, Batch   2981, Loss  0.861538, Average Loss  0.866778, Time  0.354658
2021-09-08 22:31:48.129547 : Epoch  2, Batch   2982, Loss  0.858121, Average Loss  0.866690, Time  0.416808
2021-09-08 22:31:49.842975 : Epoch  2, Batch   2983, Loss  0.869441, Average Loss  0.866635, Time  0.460502
2021-09-08 22:31:51.447000 : Epoch  2, Batch   2984, Loss  0.859685, Average Loss  0.866521, Time  0.352055
2021-09-08 22:31:53.078142 : Epoch  2, Batch   2985, Loss  0.856375, Average Loss  0.866460, Time  0.352988
2021-09-08 22:31:54.742709 : Epoch  2, Batch   2986, Loss  0.869085, Average Loss  0.866381, Time  0.422496
2021-09-08 22:31:56.492005 : Epoch  2, Batch   2987, Loss  0.905567, Average Loss  0.866519, Time  0.461107
2021-09-08 22:31:58.110345 : Epoch  2, Batch   2988, Loss  0.858035, Average Loss  0.866458, Time  0.353425
2021-09-08 22:31:59.706578 : Epoch  2, Batch   2989, Loss  0.863722, Average Loss  0.866348, Time  0.354665
2021-09-08 22:36:25.380030 : CheckPoint: Validation Loss  0.00058715, Best Loss  0.00058177
2021-09-08 22:36:27.104513 : Epoch  2, Batch   2990, Loss  0.866585, Average Loss  0.866385, Time  0.461117
2021-09-08 22:36:28.856394 : Epoch  2, Batch   2991, Loss  0.839806, Average Loss  0.866266, Time  0.457531
2021-09-08 22:36:30.506123 : Epoch  2, Batch   2992, Loss  0.877732, Average Loss  0.866379, Time  0.356774
2021-09-08 22:36:32.150290 : Epoch  2, Batch   2993, Loss  0.854525, Average Loss  0.866230, Time  0.354310
2021-09-08 22:36:33.869551 : Epoch  2, Batch   2994, Loss  0.878440, Average Loss  0.866252, Time  0.423366
2021-09-08 22:36:35.607504 : Epoch  2, Batch   2995, Loss  0.879470, Average Loss  0.866133, Time  0.461895
2021-09-08 22:36:37.250085 : Epoch  2, Batch   2996, Loss  0.881168, Average Loss  0.866109, Time  0.353490
2021-09-08 22:36:38.876303 : Epoch  2, Batch   2997, Loss  0.879913, Average Loss  0.866149, Time  0.353287
2021-09-08 22:36:40.572590 : Epoch  2, Batch   2998, Loss  0.845036, Average Loss  0.866000, Time  0.416032
2021-09-08 22:36:42.342201 : Epoch  2, Batch   2999, Loss  0.827773, Average Loss  0.865929, Time  0.461166
2021-09-08 22:36:43.989744 : Epoch  2, Batch   3000, Loss  0.865198, Average Loss  0.866049, Time  0.354121
2021-09-08 22:36:45.636340 : Epoch  2, Batch   3001, Loss  0.876395, Average Loss  0.865983, Time  0.353880
2021-09-08 22:36:47.336861 : Epoch  2, Batch   3002, Loss  0.847986, Average Loss  0.865985, Time  0.407332
2021-09-08 22:36:49.092519 : Epoch  2, Batch   3003, Loss  0.887840, Average Loss  0.866201, Time  0.460186
2021-09-08 22:36:50.725896 : Epoch  2, Batch   3004, Loss  0.871540, Average Loss  0.866132, Time  0.352636
2021-09-08 22:36:52.362490 : Epoch  2, Batch   3005, Loss  0.858653, Average Loss  0.865986, Time  0.353542
2021-09-08 22:36:54.045034 : Epoch  2, Batch   3006, Loss  0.856293, Average Loss  0.865882, Time  0.409180
2021-09-08 22:36:55.780326 : Epoch  2, Batch   3007, Loss  0.898030, Average Loss  0.866075, Time  0.459956
2021-09-08 22:36:57.417446 : Epoch  2, Batch   3008, Loss  0.859792, Average Loss  0.866029, Time  0.355475
2021-09-08 22:36:59.060297 : Epoch  2, Batch   3009, Loss  0.862125, Average Loss  0.866190, Time  0.354006
2021-09-08 22:37:00.764657 : Epoch  2, Batch   3010, Loss  0.855947, Average Loss  0.866169, Time  0.411353
2021-09-08 22:37:02.512557 : Epoch  2, Batch   3011, Loss  0.835881, Average Loss  0.866043, Time  0.462596
2021-09-08 22:37:04.135764 : Epoch  2, Batch   3012, Loss  0.859908, Average Loss  0.866139, Time  0.353291
2021-09-08 22:37:05.760853 : Epoch  2, Batch   3013, Loss  0.887133, Average Loss  0.866230, Time  0.353721
2021-09-08 22:37:07.446515 : Epoch  2, Batch   3014, Loss  0.835240, Average Loss  0.865996, Time  0.415956
2021-09-08 22:37:09.197282 : Epoch  2, Batch   3015, Loss  0.867228, Average Loss  0.865896, Time  0.459481
2021-09-08 22:37:10.837151 : Epoch  2, Batch   3016, Loss  0.882961, Average Loss  0.865764, Time  0.353386
2021-09-08 22:37:12.467806 : Epoch  2, Batch   3017, Loss  0.859949, Average Loss  0.865640, Time  0.352609
2021-09-08 22:37:14.163233 : Epoch  2, Batch   3018, Loss  0.817171, Average Loss  0.865413, Time  0.416012
2021-09-08 22:37:15.900673 : Epoch  2, Batch   3019, Loss  0.865610, Average Loss  0.865460, Time  0.459500
2021-09-08 22:37:17.553514 : Epoch  2, Batch   3020, Loss  0.864637, Average Loss  0.865510, Time  0.353224
2021-09-08 22:37:19.176276 : Epoch  2, Batch   3021, Loss  0.847893, Average Loss  0.865509, Time  0.352045
2021-09-08 22:37:20.862120 : Epoch  2, Batch   3022, Loss  0.887815, Average Loss  0.865525, Time  0.414299
2021-09-08 22:37:22.597690 : Epoch  2, Batch   3023, Loss  0.841743, Average Loss  0.865484, Time  0.457561
2021-09-08 22:37:24.251135 : Epoch  2, Batch   3024, Loss  0.866526, Average Loss  0.865548, Time  0.354620
2021-09-08 22:37:25.897475 : Epoch  2, Batch   3025, Loss  0.877483, Average Loss  0.865592, Time  0.353279
2021-09-08 22:37:27.590267 : Epoch  2, Batch   3026, Loss  0.880631, Average Loss  0.865767, Time  0.416620
2021-09-08 22:37:29.338223 : Epoch  2, Batch   3027, Loss  0.871916, Average Loss  0.865758, Time  0.457887
2021-09-08 22:37:30.992440 : Epoch  2, Batch   3028, Loss  0.849857, Average Loss  0.865717, Time  0.355447
2021-09-08 22:37:32.632357 : Epoch  2, Batch   3029, Loss  0.904696, Average Loss  0.865861, Time  0.352507
2021-09-08 22:37:34.319555 : Epoch  2, Batch   3030, Loss  0.892750, Average Loss  0.866077, Time  0.418819
2021-09-08 22:37:36.059458 : Epoch  2, Batch   3031, Loss  0.887529, Average Loss  0.866122, Time  0.465133
2021-09-08 22:37:37.690795 : Epoch  2, Batch   3032, Loss  0.838008, Average Loss  0.866050, Time  0.352330
2021-09-08 22:37:39.322356 : Epoch  2, Batch   3033, Loss  0.880294, Average Loss  0.866199, Time  0.353457
2021-09-08 22:37:41.024617 : Epoch  2, Batch   3034, Loss  0.874921, Average Loss  0.866206, Time  0.410086
2021-09-08 22:37:42.782535 : Epoch  2, Batch   3035, Loss  0.860241, Average Loss  0.866086, Time  0.460205
2021-09-08 22:37:44.430724 : Epoch  2, Batch   3036, Loss  0.852701, Average Loss  0.865987, Time  0.355129
2021-09-08 22:37:46.070322 : Epoch  2, Batch   3037, Loss  0.846319, Average Loss  0.865917, Time  0.353042
2021-09-08 22:37:47.767437 : Epoch  2, Batch   3038, Loss  0.853922, Average Loss  0.865952, Time  0.411405
2021-09-08 22:37:49.519509 : Epoch  2, Batch   3039, Loss  0.856702, Average Loss  0.865758, Time  0.462083
2021-09-08 22:37:51.154068 : Epoch  2, Batch   3040, Loss  0.861232, Average Loss  0.865814, Time  0.354502
2021-09-08 22:37:52.798331 : Epoch  2, Batch   3041, Loss  0.881354, Average Loss  0.865725, Time  0.353894
2021-09-08 22:37:54.485948 : Epoch  2, Batch   3042, Loss  0.883765, Average Loss  0.865761, Time  0.411646
2021-09-08 22:37:56.222682 : Epoch  2, Batch   3043, Loss  0.858776, Average Loss  0.865884, Time  0.463067
2021-09-08 22:37:57.850235 : Epoch  2, Batch   3044, Loss  0.856580, Average Loss  0.865693, Time  0.352651
2021-09-08 22:37:59.482529 : Epoch  2, Batch   3045, Loss  0.865471, Average Loss  0.865594, Time  0.352026
2021-09-08 22:38:01.165070 : Epoch  2, Batch   3046, Loss  0.876929, Average Loss  0.865762, Time  0.410874
2021-09-08 22:38:02.903356 : Epoch  2, Batch   3047, Loss  0.862796, Average Loss  0.865559, Time  0.461870
2021-09-08 22:38:04.530324 : Epoch  2, Batch   3048, Loss  0.861447, Average Loss  0.865576, Time  0.352879
2021-09-08 22:38:06.149822 : Epoch  2, Batch   3049, Loss  0.851905, Average Loss  0.865443, Time  0.351579
2021-09-08 22:38:07.833352 : Epoch  2, Batch   3050, Loss  0.828647, Average Loss  0.865096, Time  0.408287
2021-09-08 22:38:09.572113 : Epoch  2, Batch   3051, Loss  0.871791, Average Loss  0.865199, Time  0.462098
2021-09-08 22:38:11.203815 : Epoch  2, Batch   3052, Loss  0.859043, Average Loss  0.865238, Time  0.353655
2021-09-08 22:38:12.834710 : Epoch  2, Batch   3053, Loss  0.846122, Average Loss  0.865138, Time  0.354407
2021-09-08 22:38:14.521382 : Epoch  2, Batch   3054, Loss  0.847215, Average Loss  0.865038, Time  0.409475
2021-09-08 22:38:16.285692 : Epoch  2, Batch   3055, Loss  0.885864, Average Loss  0.865171, Time  0.463420
2021-09-08 22:38:17.911758 : Epoch  2, Batch   3056, Loss  0.871482, Average Loss  0.865101, Time  0.353582
2021-09-08 22:38:19.534415 : Epoch  2, Batch   3057, Loss  0.881058, Average Loss  0.865317, Time  0.352419
2021-09-08 22:38:21.221043 : Epoch  2, Batch   3058, Loss  0.835142, Average Loss  0.865134, Time  0.414576
2021-09-08 22:38:22.965904 : Epoch  2, Batch   3059, Loss  0.850166, Average Loss  0.865086, Time  0.456158
2021-09-08 22:38:24.625556 : Epoch  2, Batch   3060, Loss  0.853592, Average Loss  0.864889, Time  0.355096
2021-09-08 22:38:26.267761 : Epoch  2, Batch   3061, Loss  0.867928, Average Loss  0.864931, Time  0.353232
2021-09-08 22:38:27.971553 : Epoch  2, Batch   3062, Loss  0.843607, Average Loss  0.864678, Time  0.418152
2021-09-08 22:38:29.714282 : Epoch  2, Batch   3063, Loss  0.892586, Average Loss  0.864833, Time  0.465410
2021-09-08 22:38:31.341001 : Epoch  2, Batch   3064, Loss  0.896752, Average Loss  0.865024, Time  0.352967
2021-09-08 22:38:32.967503 : Epoch  2, Batch   3065, Loss  0.877199, Average Loss  0.865020, Time  0.352504
2021-09-08 22:38:34.655946 : Epoch  2, Batch   3066, Loss  0.856990, Average Loss  0.864882, Time  0.410806
2021-09-08 22:38:36.391681 : Epoch  2, Batch   3067, Loss  0.863684, Average Loss  0.864857, Time  0.458315
2021-09-08 22:38:38.038685 : Epoch  2, Batch   3068, Loss  0.877972, Average Loss  0.865021, Time  0.352503
2021-09-08 22:38:39.685508 : Epoch  2, Batch   3069, Loss  0.892929, Average Loss  0.865176, Time  0.354480
2021-09-08 22:38:41.387390 : Epoch  2, Batch   3070, Loss  0.875923, Average Loss  0.865194, Time  0.416015
2021-09-08 22:38:43.130929 : Epoch  2, Batch   3071, Loss  0.833706, Average Loss  0.864941, Time  0.459524
2021-09-08 22:38:44.754990 : Epoch  2, Batch   3072, Loss  0.834237, Average Loss  0.864799, Time  0.354670
2021-09-08 22:38:46.392199 : Epoch  2, Batch   3073, Loss  0.878055, Average Loss  0.864875, Time  0.353564
2021-09-08 22:38:48.099346 : Epoch  2, Batch   3074, Loss  0.887814, Average Loss  0.864961, Time  0.413356
2021-09-08 22:38:49.847242 : Epoch  2, Batch   3075, Loss  0.868685, Average Loss  0.865103, Time  0.458462
2021-09-08 22:38:51.493919 : Epoch  2, Batch   3076, Loss  0.849906, Average Loss  0.865222, Time  0.353365
2021-09-08 22:38:53.123419 : Epoch  2, Batch   3077, Loss  0.853976, Average Loss  0.865042, Time  0.352377
2021-09-08 22:38:54.805702 : Epoch  2, Batch   3078, Loss  0.868592, Average Loss  0.864956, Time  0.414942
2021-09-08 22:38:56.542681 : Epoch  2, Batch   3079, Loss  0.845541, Average Loss  0.864787, Time  0.462063
2021-09-08 22:38:58.167126 : Epoch  2, Batch   3080, Loss  0.883239, Average Loss  0.864878, Time  0.353582
2021-09-08 22:38:59.794096 : Epoch  2, Batch   3081, Loss  0.866249, Average Loss  0.864880, Time  0.353203
2021-09-08 22:39:01.473128 : Epoch  2, Batch   3082, Loss  0.883244, Average Loss  0.864881, Time  0.410327
2021-09-08 22:39:03.201045 : Epoch  2, Batch   3083, Loss  0.883566, Average Loss  0.864912, Time  0.457318
2021-09-08 22:39:04.824622 : Epoch  2, Batch   3084, Loss  0.848912, Average Loss  0.864964, Time  0.353899
2021-09-08 22:39:06.469148 : Epoch  2, Batch   3085, Loss  0.902601, Average Loss  0.865241, Time  0.354084
2021-09-08 22:39:08.170162 : Epoch  2, Batch   3086, Loss  0.877525, Average Loss  0.865172, Time  0.416443
2021-09-08 22:39:09.924058 : Epoch  2, Batch   3087, Loss  0.837913, Average Loss  0.865165, Time  0.460732
2021-09-08 22:39:11.552087 : Epoch  2, Batch   3088, Loss  0.834245, Average Loss  0.865022, Time  0.353182
2021-09-08 22:39:13.182439 : Epoch  2, Batch   3089, Loss  0.872078, Average Loss  0.864965, Time  0.352718
2021-09-08 22:43:35.478750 : CheckPoint: Validation Loss  0.00061387, Best Loss  0.00058177
2021-09-08 22:43:37.077622 : Epoch  2, Batch   3090, Loss  0.903492, Average Loss  0.865220, Time  0.352905
2021-09-08 22:43:38.660800 : Epoch  2, Batch   3091, Loss  0.879800, Average Loss  0.865205, Time  0.351812
2021-09-08 22:43:40.313224 : Epoch  2, Batch   3092, Loss  0.859559, Average Loss  0.865233, Time  0.424964
2021-09-08 22:43:42.028046 : Epoch  2, Batch   3093, Loss  0.842902, Average Loss  0.865153, Time  0.461464
2021-09-08 22:43:43.627764 : Epoch  2, Batch   3094, Loss  0.873855, Average Loss  0.865341, Time  0.351412
2021-09-08 22:43:45.221910 : Epoch  2, Batch   3095, Loss  0.833823, Average Loss  0.865352, Time  0.355252
2021-09-08 22:43:46.931797 : Epoch  2, Batch   3096, Loss  0.863402, Average Loss  0.865336, Time  0.418183
2021-09-08 22:43:48.632144 : Epoch  2, Batch   3097, Loss  0.877548, Average Loss  0.865475, Time  0.462728
2021-09-08 22:43:50.215170 : Epoch  2, Batch   3098, Loss  0.886659, Average Loss  0.865653, Time  0.352694
2021-09-08 22:43:51.797868 : Epoch  2, Batch   3099, Loss  0.892317, Average Loss  0.865806, Time  0.350931
2021-09-08 22:43:53.477424 : Epoch  2, Batch   3100, Loss  0.875499, Average Loss  0.865880, Time  0.421171
2021-09-08 22:43:55.247688 : Epoch  2, Batch   3101, Loss  0.867513, Average Loss  0.865929, Time  0.459760
2021-09-08 22:43:56.877728 : Epoch  2, Batch   3102, Loss  0.857831, Average Loss  0.865896, Time  0.353581
2021-09-08 22:43:58.501504 : Epoch  2, Batch   3103, Loss  0.837025, Average Loss  0.865747, Time  0.353169
2021-09-08 22:44:00.188919 : Epoch  2, Batch   3104, Loss  0.868057, Average Loss  0.865666, Time  0.413225
2021-09-08 22:44:01.922963 : Epoch  2, Batch   3105, Loss  0.862053, Average Loss  0.865700, Time  0.460273
2021-09-08 22:44:03.554593 : Epoch  2, Batch   3106, Loss  0.865846, Average Loss  0.865696, Time  0.352892
2021-09-08 22:44:05.182117 : Epoch  2, Batch   3107, Loss  0.875753, Average Loss  0.865591, Time  0.353300
2021-09-08 22:44:06.877846 : Epoch  2, Batch   3108, Loss  0.865162, Average Loss  0.865561, Time  0.418082
2021-09-08 22:44:08.610886 : Epoch  2, Batch   3109, Loss  0.881295, Average Loss  0.865428, Time  0.460580
2021-09-08 22:44:10.248555 : Epoch  2, Batch   3110, Loss  0.863862, Average Loss  0.865527, Time  0.353493
2021-09-08 22:44:11.872914 : Epoch  2, Batch   3111, Loss  0.847322, Average Loss  0.865409, Time  0.352496
2021-09-08 22:44:13.567735 : Epoch  2, Batch   3112, Loss  0.887488, Average Loss  0.865385, Time  0.410507
2021-09-08 22:44:15.317376 : Epoch  2, Batch   3113, Loss  0.884393, Average Loss  0.865428, Time  0.459536
2021-09-08 22:44:16.939758 : Epoch  2, Batch   3114, Loss  0.849583, Average Loss  0.865363, Time  0.351942
2021-09-08 22:44:18.561557 : Epoch  2, Batch   3115, Loss  0.868208, Average Loss  0.865423, Time  0.352925
2021-09-08 22:44:20.246513 : Epoch  2, Batch   3116, Loss  0.852467, Average Loss  0.865448, Time  0.420031
2021-09-08 22:44:21.992080 : Epoch  2, Batch   3117, Loss  0.871829, Average Loss  0.865367, Time  0.458788
2021-09-08 22:44:23.639179 : Epoch  2, Batch   3118, Loss  0.847024, Average Loss  0.865283, Time  0.352256
2021-09-08 22:44:25.280833 : Epoch  2, Batch   3119, Loss  0.865923, Average Loss  0.865282, Time  0.354496
2021-09-08 22:44:26.981394 : Epoch  2, Batch   3120, Loss  0.886790, Average Loss  0.865348, Time  0.416507
2021-09-08 22:44:28.733738 : Epoch  2, Batch   3121, Loss  0.889181, Average Loss  0.865334, Time  0.459923
2021-09-08 22:44:30.370712 : Epoch  2, Batch   3122, Loss  0.850926, Average Loss  0.865239, Time  0.353119
2021-09-08 22:44:31.997697 : Epoch  2, Batch   3123, Loss  0.899453, Average Loss  0.865501, Time  0.355430
2021-09-08 22:44:33.689304 : Epoch  2, Batch   3124, Loss  0.851886, Average Loss  0.865393, Time  0.421691
2021-09-08 22:44:35.430125 : Epoch  2, Batch   3125, Loss  0.872875, Average Loss  0.865425, Time  0.457872
2021-09-08 22:44:37.064843 : Epoch  2, Batch   3126, Loss  0.864594, Average Loss  0.865518, Time  0.353561
2021-09-08 22:44:38.690937 : Epoch  2, Batch   3127, Loss  0.872492, Average Loss  0.865556, Time  0.354180
2021-09-08 22:44:40.384164 : Epoch  2, Batch   3128, Loss  0.849600, Average Loss  0.865557, Time  0.421004
2021-09-08 22:44:42.118920 : Epoch  2, Batch   3129, Loss  0.881217, Average Loss  0.865607, Time  0.460850
2021-09-08 22:44:43.763124 : Epoch  2, Batch   3130, Loss  0.870300, Average Loss  0.865510, Time  0.353712
2021-09-08 22:44:45.404483 : Epoch  2, Batch   3131, Loss  0.876341, Average Loss  0.865649, Time  0.353373
2021-09-08 22:44:47.103536 : Epoch  2, Batch   3132, Loss  0.848769, Average Loss  0.865523, Time  0.417284
2021-09-08 22:44:48.846168 : Epoch  2, Batch   3133, Loss  0.844228, Average Loss  0.865502, Time  0.462886
2021-09-08 22:44:50.469736 : Epoch  2, Batch   3134, Loss  0.875436, Average Loss  0.865561, Time  0.354124
2021-09-08 22:44:52.121101 : Epoch  2, Batch   3135, Loss  0.871024, Average Loss  0.865601, Time  0.351696
2021-09-08 22:44:53.807605 : Epoch  2, Batch   3136, Loss  0.850563, Average Loss  0.865520, Time  0.415679
2021-09-08 22:44:55.543443 : Epoch  2, Batch   3137, Loss  0.879005, Average Loss  0.865603, Time  0.455741
2021-09-08 22:44:57.168503 : Epoch  2, Batch   3138, Loss  0.846900, Average Loss  0.865738, Time  0.354871
2021-09-08 22:44:58.787696 : Epoch  2, Batch   3139, Loss  0.881577, Average Loss  0.865715, Time  0.352398
2021-09-08 22:45:00.482123 : Epoch  2, Batch   3140, Loss  0.861643, Average Loss  0.865767, Time  0.421708
2021-09-08 22:45:02.219525 : Epoch  2, Batch   3141, Loss  0.845587, Average Loss  0.865746, Time  0.461720
2021-09-08 22:45:03.844435 : Epoch  2, Batch   3142, Loss  0.895228, Average Loss  0.865886, Time  0.353545
2021-09-08 22:45:05.476178 : Epoch  2, Batch   3143, Loss  0.877136, Average Loss  0.865891, Time  0.355350
2021-09-08 22:45:07.180763 : Epoch  2, Batch   3144, Loss  0.868445, Average Loss  0.865912, Time  0.415431
2021-09-08 22:45:08.921355 : Epoch  2, Batch   3145, Loss  0.881346, Average Loss  0.865925, Time  0.462143
2021-09-08 22:45:10.547724 : Epoch  2, Batch   3146, Loss  0.873337, Average Loss  0.865995, Time  0.353276
2021-09-08 22:45:12.174808 : Epoch  2, Batch   3147, Loss  0.898963, Average Loss  0.866297, Time  0.352544
2021-09-08 22:45:13.860667 : Epoch  2, Batch   3148, Loss  0.885627, Average Loss  0.866241, Time  0.421002
2021-09-08 22:45:15.591537 : Epoch  2, Batch   3149, Loss  0.913655, Average Loss  0.866497, Time  0.458750
2021-09-08 22:45:17.233615 : Epoch  2, Batch   3150, Loss  0.867274, Average Loss  0.866355, Time  0.353831
2021-09-08 22:45:18.877699 : Epoch  2, Batch   3151, Loss  0.834634, Average Loss  0.866315, Time  0.354863
2021-09-08 22:45:20.578684 : Epoch  2, Batch   3152, Loss  0.872384, Average Loss  0.866255, Time  0.425601
2021-09-08 22:45:22.312213 : Epoch  2, Batch   3153, Loss  0.860314, Average Loss  0.866224, Time  0.460177
2021-09-08 22:45:23.934541 : Epoch  2, Batch   3154, Loss  0.861233, Average Loss  0.866312, Time  0.353164
2021-09-08 22:45:25.566874 : Epoch  2, Batch   3155, Loss  0.897871, Average Loss  0.866469, Time  0.353875
2021-09-08 22:45:27.259044 : Epoch  2, Batch   3156, Loss  0.847213, Average Loss  0.866484, Time  0.417448
2021-09-08 22:45:28.991325 : Epoch  2, Batch   3157, Loss  0.868499, Average Loss  0.866510, Time  0.460596
2021-09-08 22:45:30.611873 : Epoch  2, Batch   3158, Loss  0.896634, Average Loss  0.866676, Time  0.353363
2021-09-08 22:45:32.239332 : Epoch  2, Batch   3159, Loss  0.850158, Average Loss  0.866658, Time  0.352752
2021-09-08 22:45:33.932046 : Epoch  2, Batch   3160, Loss  0.855737, Average Loss  0.866386, Time  0.421469
2021-09-08 22:45:35.666734 : Epoch  2, Batch   3161, Loss  0.906064, Average Loss  0.866672, Time  0.459902
2021-09-08 22:45:37.293874 : Epoch  2, Batch   3162, Loss  0.874077, Average Loss  0.866641, Time  0.354055
2021-09-08 22:45:38.932021 : Epoch  2, Batch   3163, Loss  0.839744, Average Loss  0.866424, Time  0.353222
2021-09-08 22:45:40.628659 : Epoch  2, Batch   3164, Loss  0.844753, Average Loss  0.866244, Time  0.420120
2021-09-08 22:45:42.358100 : Epoch  2, Batch   3165, Loss  0.877165, Average Loss  0.866384, Time  0.458563
2021-09-08 22:45:43.987005 : Epoch  2, Batch   3166, Loss  0.851190, Average Loss  0.866286, Time  0.355327
2021-09-08 22:45:45.612816 : Epoch  2, Batch   3167, Loss  0.873501, Average Loss  0.866288, Time  0.353526
2021-09-08 22:45:47.305126 : Epoch  2, Batch   3168, Loss  0.870376, Average Loss  0.866111, Time  0.420149
2021-09-08 22:45:49.036670 : Epoch  2, Batch   3169, Loss  0.865505, Average Loss  0.866267, Time  0.459297
2021-09-08 22:45:50.662942 : Epoch  2, Batch   3170, Loss  0.879057, Average Loss  0.866272, Time  0.352810
2021-09-08 22:45:52.290416 : Epoch  2, Batch   3171, Loss  0.852615, Average Loss  0.866167, Time  0.353750
2021-09-08 22:45:53.993590 : Epoch  2, Batch   3172, Loss  0.855142, Average Loss  0.866090, Time  0.420309
2021-09-08 22:45:55.733548 : Epoch  2, Batch   3173, Loss  0.869200, Average Loss  0.866246, Time  0.461734
2021-09-08 22:45:57.361419 : Epoch  2, Batch   3174, Loss  0.860564, Average Loss  0.866343, Time  0.353723
2021-09-08 22:45:58.978259 : Epoch  2, Batch   3175, Loss  0.855935, Average Loss  0.866322, Time  0.353498
2021-09-08 22:46:00.670965 : Epoch  2, Batch   3176, Loss  0.844064, Average Loss  0.866208, Time  0.418652
2021-09-08 22:46:02.417263 : Epoch  2, Batch   3177, Loss  0.848522, Average Loss  0.866034, Time  0.457367
2021-09-08 22:46:04.050648 : Epoch  2, Batch   3178, Loss  0.856794, Average Loss  0.866047, Time  0.354193
2021-09-08 22:46:05.683129 : Epoch  2, Batch   3179, Loss  0.857523, Average Loss  0.865977, Time  0.354871
2021-09-08 22:46:07.375748 : Epoch  2, Batch   3180, Loss  0.873827, Average Loss  0.866023, Time  0.419627
2021-09-08 22:46:09.103298 : Epoch  2, Batch   3181, Loss  0.891473, Average Loss  0.866173, Time  0.459884
2021-09-08 22:46:10.719767 : Epoch  2, Batch   3182, Loss  0.900777, Average Loss  0.866386, Time  0.352797
2021-09-08 22:46:12.349401 : Epoch  2, Batch   3183, Loss  0.873834, Average Loss  0.866408, Time  0.354253
2021-09-08 22:46:14.049286 : Epoch  2, Batch   3184, Loss  0.878694, Average Loss  0.866503, Time  0.419588
2021-09-08 22:46:15.787122 : Epoch  2, Batch   3185, Loss  0.867591, Average Loss  0.866559, Time  0.460217
2021-09-08 22:46:17.413775 : Epoch  2, Batch   3186, Loss  0.873276, Average Loss  0.866580, Time  0.352425
2021-09-08 22:46:19.037696 : Epoch  2, Batch   3187, Loss  0.887982, Average Loss  0.866493, Time  0.353364
2021-09-08 22:46:20.728164 : Epoch  2, Batch   3188, Loss  0.843265, Average Loss  0.866419, Time  0.420610
2021-09-08 22:46:22.464114 : Epoch  2, Batch   3189, Loss  0.862668, Average Loss  0.866413, Time  0.461724
2021-09-08 22:50:48.350696 : CheckPoint: Validation Loss  0.00062125, Best Loss  0.00058177
2021-09-08 22:50:50.084885 : Epoch  2, Batch   3190, Loss  0.873114, Average Loss  0.866446, Time  0.462997
2021-09-08 22:50:51.830441 : Epoch  2, Batch   3191, Loss  0.865041, Average Loss  0.866572, Time  0.455340
2021-09-08 22:50:53.473108 : Epoch  2, Batch   3192, Loss  0.866198, Average Loss  0.866515, Time  0.357572
2021-09-08 22:50:55.105964 : Epoch  2, Batch   3193, Loss  0.829601, Average Loss  0.866390, Time  0.355762
2021-09-08 22:50:56.814952 : Epoch  2, Batch   3194, Loss  0.870596, Average Loss  0.866351, Time  0.426058
2021-09-08 22:50:58.566493 : Epoch  2, Batch   3195, Loss  0.862135, Average Loss  0.866264, Time  0.457549
2021-09-08 22:51:00.202422 : Epoch  2, Batch   3196, Loss  0.881733, Average Loss  0.866267, Time  0.353803
2021-09-08 22:51:01.826796 : Epoch  2, Batch   3197, Loss  0.876617, Average Loss  0.866250, Time  0.354702
2021-09-08 22:51:03.512767 : Epoch  2, Batch   3198, Loss  0.877469, Average Loss  0.866413, Time  0.416182
2021-09-08 22:51:05.243574 : Epoch  2, Batch   3199, Loss  0.884100, Average Loss  0.866694, Time  0.458814
2021-09-08 22:51:06.865093 : Epoch  2, Batch   3200, Loss  0.850375, Average Loss  0.866620, Time  0.352992
2021-09-08 22:51:08.488981 : Epoch  2, Batch   3201, Loss  0.898055, Average Loss  0.866728, Time  0.354354
2021-09-08 22:51:10.183479 : Epoch  2, Batch   3202, Loss  0.879001, Average Loss  0.866883, Time  0.422271
2021-09-08 22:51:11.928705 : Epoch  2, Batch   3203, Loss  0.859500, Average Loss  0.866742, Time  0.458621
2021-09-08 22:51:13.559704 : Epoch  2, Batch   3204, Loss  0.869672, Average Loss  0.866732, Time  0.354182
2021-09-08 22:51:15.185734 : Epoch  2, Batch   3205, Loss  0.850800, Average Loss  0.866693, Time  0.354709
2021-09-08 22:51:16.876156 : Epoch  2, Batch   3206, Loss  0.909334, Average Loss  0.866958, Time  0.418908
2021-09-08 22:51:18.623358 : Epoch  2, Batch   3207, Loss  0.873493, Average Loss  0.866836, Time  0.459356
2021-09-08 22:51:20.266467 : Epoch  2, Batch   3208, Loss  0.866470, Average Loss  0.866869, Time  0.353915
2021-09-08 22:51:21.889160 : Epoch  2, Batch   3209, Loss  0.877413, Average Loss  0.866946, Time  0.352713
2021-09-08 22:51:23.581701 : Epoch  2, Batch   3210, Loss  0.872361, Average Loss  0.867028, Time  0.419744
2021-09-08 22:51:25.310296 : Epoch  2, Batch   3211, Loss  0.845732, Average Loss  0.867077, Time  0.459480
2021-09-08 22:51:26.938418 : Epoch  2, Batch   3212, Loss  0.863761, Average Loss  0.867096, Time  0.353065
2021-09-08 22:51:28.576413 : Epoch  2, Batch   3213, Loss  0.861977, Average Loss  0.866970, Time  0.354232
2021-09-08 22:51:30.288623 : Epoch  2, Batch   3214, Loss  0.852239, Average Loss  0.867055, Time  0.419253
2021-09-08 22:51:32.038987 : Epoch  2, Batch   3215, Loss  0.866993, Average Loss  0.867054, Time  0.460310
2021-09-08 22:51:33.681086 : Epoch  2, Batch   3216, Loss  0.885245, Average Loss  0.867066, Time  0.353890
2021-09-08 22:51:35.322300 : Epoch  2, Batch   3217, Loss  0.899998, Average Loss  0.867266, Time  0.355429
2021-09-08 22:51:37.022796 : Epoch  2, Batch   3218, Loss  0.878374, Average Loss  0.867572, Time  0.421058
2021-09-08 22:51:38.784500 : Epoch  2, Batch   3219, Loss  0.857931, Average Loss  0.867533, Time  0.462022
2021-09-08 22:51:40.416479 : Epoch  2, Batch   3220, Loss  0.883097, Average Loss  0.867626, Time  0.354514
2021-09-08 22:51:42.055957 : Epoch  2, Batch   3221, Loss  0.846050, Average Loss  0.867616, Time  0.353596
2021-09-08 22:51:43.754131 : Epoch  2, Batch   3222, Loss  0.870028, Average Loss  0.867528, Time  0.411216
2021-09-08 22:51:45.487552 : Epoch  2, Batch   3223, Loss  0.867294, Average Loss  0.867655, Time  0.462139
2021-09-08 22:51:47.107426 : Epoch  2, Batch   3224, Loss  0.868564, Average Loss  0.867666, Time  0.352997
2021-09-08 22:51:48.733990 : Epoch  2, Batch   3225, Loss  0.879435, Average Loss  0.867675, Time  0.352659
2021-09-08 22:51:50.426036 : Epoch  2, Batch   3226, Loss  0.873106, Average Loss  0.867638, Time  0.416194
2021-09-08 22:51:52.152931 : Epoch  2, Batch   3227, Loss  0.858157, Average Loss  0.867569, Time  0.460627
2021-09-08 22:51:53.776130 : Epoch  2, Batch   3228, Loss  0.873692, Average Loss  0.867688, Time  0.353535
2021-09-08 22:51:55.394947 : Epoch  2, Batch   3229, Loss  0.904613, Average Loss  0.867688, Time  0.352950
2021-09-08 22:51:57.079661 : Epoch  2, Batch   3230, Loss  0.881896, Average Loss  0.867633, Time  0.416724
2021-09-08 22:51:58.807070 : Epoch  2, Batch   3231, Loss  0.877577, Average Loss  0.867584, Time  0.462588
2021-09-08 22:52:00.440957 : Epoch  2, Batch   3232, Loss  0.877967, Average Loss  0.867783, Time  0.352838
2021-09-08 22:52:02.068180 : Epoch  2, Batch   3233, Loss  0.838862, Average Loss  0.867576, Time  0.353797
2021-09-08 22:52:03.762577 : Epoch  2, Batch   3234, Loss  0.851982, Average Loss  0.867462, Time  0.406713
2021-09-08 22:52:05.509864 : Epoch  2, Batch   3235, Loss  0.862843, Average Loss  0.867475, Time  0.461428
2021-09-08 22:52:07.139702 : Epoch  2, Batch   3236, Loss  0.861011, Average Loss  0.867516, Time  0.353245
2021-09-08 22:52:08.762434 : Epoch  2, Batch   3237, Loss  0.884126, Average Loss  0.867705, Time  0.352423
2021-09-08 22:52:10.455621 : Epoch  2, Batch   3238, Loss  0.866183, Average Loss  0.867766, Time  0.410434
2021-09-08 22:52:12.211231 : Epoch  2, Batch   3239, Loss  0.858271, Average Loss  0.867774, Time  0.461204
2021-09-08 22:52:13.864099 : Epoch  2, Batch   3240, Loss  0.857771, Average Loss  0.867757, Time  0.354815
2021-09-08 22:52:15.502179 : Epoch  2, Batch   3241, Loss  0.860964, Average Loss  0.867655, Time  0.353470
2021-09-08 22:52:17.181992 : Epoch  2, Batch   3242, Loss  0.856306, Average Loss  0.867518, Time  0.404886
2021-09-08 22:52:18.921070 : Epoch  2, Batch   3243, Loss  0.861651, Average Loss  0.867532, Time  0.462800
2021-09-08 22:52:20.569023 : Epoch  2, Batch   3244, Loss  0.893238, Average Loss  0.867715, Time  0.354059
2021-09-08 22:52:22.210747 : Epoch  2, Batch   3245, Loss  0.865644, Average Loss  0.867716, Time  0.353876
2021-09-08 22:52:23.907205 : Epoch  2, Batch   3246, Loss  0.856550, Average Loss  0.867614, Time  0.409680
2021-09-08 22:52:25.657079 : Epoch  2, Batch   3247, Loss  0.876817, Average Loss  0.867684, Time  0.460022
2021-09-08 22:52:27.300328 : Epoch  2, Batch   3248, Loss  0.886764, Average Loss  0.867811, Time  0.352938
2021-09-08 22:52:28.926885 : Epoch  2, Batch   3249, Loss  0.866450, Average Loss  0.867884, Time  0.353692
2021-09-08 22:52:30.626296 : Epoch  2, Batch   3250, Loss  0.844363, Average Loss  0.867962, Time  0.409478
2021-09-08 22:52:32.375405 : Epoch  2, Batch   3251, Loss  0.877522, Average Loss  0.867991, Time  0.461855
2021-09-08 22:52:33.997324 : Epoch  2, Batch   3252, Loss  0.835282, Average Loss  0.867872, Time  0.350885
2021-09-08 22:52:35.641346 : Epoch  2, Batch   3253, Loss  0.883982, Average Loss  0.868061, Time  0.354191
2021-09-08 22:52:37.339075 : Epoch  2, Batch   3254, Loss  0.890610, Average Loss  0.868278, Time  0.407925
2021-09-08 22:52:39.072834 : Epoch  2, Batch   3255, Loss  0.898774, Average Loss  0.868343, Time  0.462201
2021-09-08 22:52:40.723097 : Epoch  2, Batch   3256, Loss  0.894243, Average Loss  0.868457, Time  0.353127
2021-09-08 22:52:42.354017 : Epoch  2, Batch   3257, Loss  0.883282, Average Loss  0.868468, Time  0.352787
2021-09-08 22:52:44.044888 : Epoch  2, Batch   3258, Loss  0.867668, Average Loss  0.868631, Time  0.411035
2021-09-08 22:52:45.793998 : Epoch  2, Batch   3259, Loss  0.855141, Average Loss  0.868655, Time  0.460636
2021-09-08 22:52:47.430860 : Epoch  2, Batch   3260, Loss  0.848119, Average Loss  0.868628, Time  0.353843
2021-09-08 22:52:49.075442 : Epoch  2, Batch   3261, Loss  0.885542, Average Loss  0.868716, Time  0.353216
2021-09-08 22:52:50.760514 : Epoch  2, Batch   3262, Loss  0.874818, Average Loss  0.868872, Time  0.410306
2021-09-08 22:52:52.503777 : Epoch  2, Batch   3263, Loss  0.839021, Average Loss  0.868604, Time  0.460528
2021-09-08 22:52:54.153819 : Epoch  2, Batch   3264, Loss  0.872801, Average Loss  0.868485, Time  0.352639
2021-09-08 22:52:55.805929 : Epoch  2, Batch   3265, Loss  0.845393, Average Loss  0.868326, Time  0.353568
2021-09-08 22:52:57.507665 : Epoch  2, Batch   3266, Loss  0.887176, Average Loss  0.868477, Time  0.408815
2021-09-08 22:52:59.260329 : Epoch  2, Batch   3267, Loss  0.864839, Average Loss  0.868482, Time  0.461420
2021-09-08 22:53:00.906430 : Epoch  2, Batch   3268, Loss  0.879109, Average Loss  0.868488, Time  0.352854
2021-09-08 22:53:02.553472 : Epoch  2, Batch   3269, Loss  0.876720, Average Loss  0.868407, Time  0.353993
2021-09-08 22:53:04.242035 : Epoch  2, Batch   3270, Loss  0.851299, Average Loss  0.868284, Time  0.407142
2021-09-08 22:53:05.992531 : Epoch  2, Batch   3271, Loss  0.862580, Average Loss  0.868428, Time  0.459852
2021-09-08 22:53:07.631533 : Epoch  2, Batch   3272, Loss  0.877661, Average Loss  0.868645, Time  0.353675
2021-09-08 22:53:09.261893 : Epoch  2, Batch   3273, Loss  0.854636, Average Loss  0.868528, Time  0.353827
2021-09-08 22:53:10.951292 : Epoch  2, Batch   3274, Loss  0.866589, Average Loss  0.868422, Time  0.411825
2021-09-08 22:53:12.702554 : Epoch  2, Batch   3275, Loss  0.899499, Average Loss  0.868576, Time  0.461421
2021-09-08 22:53:14.337141 : Epoch  2, Batch   3276, Loss  0.856095, Average Loss  0.868607, Time  0.353677
2021-09-08 22:53:15.987299 : Epoch  2, Batch   3277, Loss  0.875089, Average Loss  0.868713, Time  0.354528
2021-09-08 22:53:17.672072 : Epoch  2, Batch   3278, Loss  0.850271, Average Loss  0.868621, Time  0.405594
2021-09-08 22:53:19.404919 : Epoch  2, Batch   3279, Loss  0.883807, Average Loss  0.868812, Time  0.460404
2021-09-08 22:53:21.049789 : Epoch  2, Batch   3280, Loss  0.901985, Average Loss  0.868906, Time  0.350951
2021-09-08 22:53:22.680380 : Epoch  2, Batch   3281, Loss  0.841428, Average Loss  0.868782, Time  0.352578
2021-09-08 22:53:24.371169 : Epoch  2, Batch   3282, Loss  0.850567, Average Loss  0.868619, Time  0.417215
2021-09-08 22:53:26.109016 : Epoch  2, Batch   3283, Loss  0.839860, Average Loss  0.868400, Time  0.458479
2021-09-08 22:53:27.743262 : Epoch  2, Batch   3284, Loss  0.858934, Average Loss  0.868450, Time  0.354500
2021-09-08 22:53:29.376105 : Epoch  2, Batch   3285, Loss  0.851700, Average Loss  0.868196, Time  0.353662
2021-09-08 22:53:31.073657 : Epoch  2, Batch   3286, Loss  0.860928, Average Loss  0.868113, Time  0.416939
2021-09-08 22:53:32.817283 : Epoch  2, Batch   3287, Loss  0.862351, Average Loss  0.868235, Time  0.460176
2021-09-08 22:53:34.456622 : Epoch  2, Batch   3288, Loss  0.880828, Average Loss  0.868468, Time  0.353523
2021-09-08 22:53:41.729801 : Epoch  2, Batch   3289, Loss  0.902122, Average Loss  0.868618, Time  0.445528
2021-09-08 22:58:08.939320 : CheckPoint: Validation Loss  0.00058199, Best Loss  0.00058177
2021-09-08 22:58:10.653672 : Epoch  2, Batch   3290, Loss  0.879095, Average Loss  0.868496, Time  0.434734
2021-09-08 22:58:12.408457 : Epoch  2, Batch   3291, Loss  0.868541, Average Loss  0.868440, Time  0.458187
2021-09-08 22:58:14.043784 : Epoch  2, Batch   3292, Loss  0.865336, Average Loss  0.868469, Time  0.352444
2021-09-08 22:58:15.679209 : Epoch  2, Batch   3293, Loss  0.897388, Average Loss  0.868741, Time  0.352911
2021-09-08 22:58:17.376021 : Epoch  2, Batch   3294, Loss  0.861674, Average Loss  0.868680, Time  0.412342
2021-09-08 22:58:19.131332 : Epoch  2, Batch   3295, Loss  0.856891, Average Loss  0.868796, Time  0.462691
2021-09-08 22:58:20.749821 : Epoch  2, Batch   3296, Loss  0.855910, Average Loss  0.868758, Time  0.353502
2021-09-08 22:58:22.378919 : Epoch  2, Batch   3297, Loss  0.860358, Average Loss  0.868672, Time  0.353231
2021-09-08 22:58:24.072812 : Epoch  2, Batch   3298, Loss  0.841180, Average Loss  0.868445, Time  0.414093
2021-09-08 22:58:25.815813 : Epoch  2, Batch   3299, Loss  0.864192, Average Loss  0.868304, Time  0.463878
2021-09-08 22:58:27.442827 : Epoch  2, Batch   3300, Loss  0.899799, Average Loss  0.868426, Time  0.352891
2021-09-08 22:58:29.072517 : Epoch  2, Batch   3301, Loss  0.898024, Average Loss  0.868578, Time  0.354482
2021-09-08 22:58:30.761437 : Epoch  2, Batch   3302, Loss  0.856240, Average Loss  0.868570, Time  0.416172
2021-09-08 22:58:32.504783 : Epoch  2, Batch   3303, Loss  0.873327, Average Loss  0.868752, Time  0.461890
2021-09-08 22:58:34.135309 : Epoch  2, Batch   3304, Loss  0.868959, Average Loss  0.868756, Time  0.353250
2021-09-08 22:58:35.774927 : Epoch  2, Batch   3305, Loss  0.857859, Average Loss  0.868735, Time  0.352777
2021-09-08 22:58:37.479208 : Epoch  2, Batch   3306, Loss  0.919614, Average Loss  0.869004, Time  0.410245
2021-09-08 22:58:39.230162 : Epoch  2, Batch   3307, Loss  0.873823, Average Loss  0.868994, Time  0.459424
2021-09-08 22:58:40.856069 : Epoch  2, Batch   3308, Loss  0.850747, Average Loss  0.868922, Time  0.354322
2021-09-08 22:58:42.497602 : Epoch  2, Batch   3309, Loss  0.871071, Average Loss  0.868871, Time  0.354795
2021-09-08 22:58:44.206487 : Epoch  2, Batch   3310, Loss  0.882312, Average Loss  0.868963, Time  0.419072
2021-09-08 22:58:45.961326 : Epoch  2, Batch   3311, Loss  0.886681, Average Loss  0.869160, Time  0.462537
2021-09-08 22:58:47.594990 : Epoch  2, Batch   3312, Loss  0.847105, Average Loss  0.868958, Time  0.353084
2021-09-08 22:58:49.226470 : Epoch  2, Batch   3313, Loss  0.847840, Average Loss  0.868776, Time  0.354457
2021-09-08 22:58:50.925999 : Epoch  2, Batch   3314, Loss  0.864126, Average Loss  0.868848, Time  0.407369
2021-09-08 22:58:52.679408 : Epoch  2, Batch   3315, Loss  0.836675, Average Loss  0.868691, Time  0.462043
2021-09-08 22:58:54.332123 : Epoch  2, Batch   3316, Loss  0.869641, Average Loss  0.868777, Time  0.354913
2021-09-08 22:58:55.981728 : Epoch  2, Batch   3317, Loss  0.880373, Average Loss  0.868819, Time  0.353963
2021-09-08 22:58:57.672913 : Epoch  2, Batch   3318, Loss  0.853945, Average Loss  0.868854, Time  0.412511
2021-09-08 22:58:59.415455 : Epoch  2, Batch   3319, Loss  0.899587, Average Loss  0.869022, Time  0.459152
2021-09-08 22:59:01.063784 : Epoch  2, Batch   3320, Loss  0.877164, Average Loss  0.868974, Time  0.355461
2021-09-08 22:59:02.715712 : Epoch  2, Batch   3321, Loss  0.869182, Average Loss  0.868874, Time  0.353488
2021-09-08 22:59:04.423557 : Epoch  2, Batch   3322, Loss  0.864235, Average Loss  0.868941, Time  0.414284
2021-09-08 22:59:06.177438 : Epoch  2, Batch   3323, Loss  0.893510, Average Loss  0.868911, Time  0.460865
2021-09-08 22:59:07.829321 : Epoch  2, Batch   3324, Loss  0.883342, Average Loss  0.869068, Time  0.355364
2021-09-08 22:59:09.475467 : Epoch  2, Batch   3325, Loss  0.864685, Average Loss  0.869027, Time  0.352333
2021-09-08 22:59:11.193640 : Epoch  2, Batch   3326, Loss  0.834400, Average Loss  0.868876, Time  0.416506
2021-09-08 22:59:12.936945 : Epoch  2, Batch   3327, Loss  0.903989, Average Loss  0.869034, Time  0.460924
2021-09-08 22:59:14.572803 : Epoch  2, Batch   3328, Loss  0.831139, Average Loss  0.868941, Time  0.353434
2021-09-08 22:59:16.214754 : Epoch  2, Batch   3329, Loss  0.866959, Average Loss  0.868870, Time  0.352579
2021-09-08 22:59:17.919990 : Epoch  2, Batch   3330, Loss  0.861910, Average Loss  0.868828, Time  0.413421
2021-09-08 22:59:19.659113 : Epoch  2, Batch   3331, Loss  0.902383, Average Loss  0.868958, Time  0.460092
2021-09-08 22:59:21.296694 : Epoch  2, Batch   3332, Loss  0.876476, Average Loss  0.869097, Time  0.352702
2021-09-08 22:59:22.929143 : Epoch  2, Batch   3333, Loss  0.893399, Average Loss  0.869343, Time  0.352455
2021-09-08 22:59:24.623078 : Epoch  2, Batch   3334, Loss  0.878343, Average Loss  0.869357, Time  0.415094
2021-09-08 22:59:26.360557 : Epoch  2, Batch   3335, Loss  0.865048, Average Loss  0.869327, Time  0.462807
2021-09-08 22:59:27.989727 : Epoch  2, Batch   3336, Loss  0.856951, Average Loss  0.869359, Time  0.353511
2021-09-08 22:59:29.618050 : Epoch  2, Batch   3337, Loss  0.866232, Average Loss  0.869296, Time  0.353513
2021-09-08 22:59:31.317050 : Epoch  2, Batch   3338, Loss  0.847108, Average Loss  0.869297, Time  0.414381
2021-09-08 22:59:33.066296 : Epoch  2, Batch   3339, Loss  0.850337, Average Loss  0.869140, Time  0.457517
2021-09-08 22:59:34.732368 : Epoch  2, Batch   3340, Loss  0.876358, Average Loss  0.869214, Time  0.355099
2021-09-08 22:59:36.382407 : Epoch  2, Batch   3341, Loss  0.885569, Average Loss  0.869414, Time  0.353388
2021-09-08 22:59:38.092145 : Epoch  2, Batch   3342, Loss  0.881731, Average Loss  0.869346, Time  0.418795
2021-09-08 22:59:39.848696 : Epoch  2, Batch   3343, Loss  0.859902, Average Loss  0.869260, Time  0.458652
2021-09-08 22:59:41.495361 : Epoch  2, Batch   3344, Loss  0.870795, Average Loss  0.869272, Time  0.353699
2021-09-08 22:59:43.138791 : Epoch  2, Batch   3345, Loss  0.891097, Average Loss  0.869321, Time  0.354688
2021-09-08 22:59:44.858238 : Epoch  2, Batch   3346, Loss  0.832951, Average Loss  0.869119, Time  0.416843
2021-09-08 22:59:46.618254 : Epoch  2, Batch   3347, Loss  0.885512, Average Loss  0.869052, Time  0.461968
2021-09-08 22:59:48.270873 : Epoch  2, Batch   3348, Loss  0.873929, Average Loss  0.868993, Time  0.353609
2021-09-08 22:59:49.914996 : Epoch  2, Batch   3349, Loss  0.841443, Average Loss  0.868632, Time  0.353675
2021-09-08 22:59:51.630161 : Epoch  2, Batch   3350, Loss  0.883682, Average Loss  0.868714, Time  0.417087
2021-09-08 22:59:53.389113 : Epoch  2, Batch   3351, Loss  0.866364, Average Loss  0.868873, Time  0.460486
2021-09-08 22:59:55.044347 : Epoch  2, Batch   3352, Loss  0.862861, Average Loss  0.868825, Time  0.355453
2021-09-08 22:59:56.696242 : Epoch  2, Batch   3353, Loss  0.866877, Average Loss  0.868858, Time  0.353279
2021-09-08 22:59:58.401229 : Epoch  2, Batch   3354, Loss  0.897854, Average Loss  0.869041, Time  0.412253
2021-09-08 23:00:00.159321 : Epoch  2, Batch   3355, Loss  0.875236, Average Loss  0.868928, Time  0.460068
2021-09-08 23:00:01.805397 : Epoch  2, Batch   3356, Loss  0.886759, Average Loss  0.869126, Time  0.354142
2021-09-08 23:00:03.458435 : Epoch  2, Batch   3357, Loss  0.855595, Average Loss  0.869061, Time  0.353935
2021-09-08 23:00:05.163764 : Epoch  2, Batch   3358, Loss  0.873448, Average Loss  0.868945, Time  0.413017
2021-09-08 23:00:06.918639 : Epoch  2, Batch   3359, Loss  0.870415, Average Loss  0.869046, Time  0.459186
2021-09-08 23:00:08.570274 : Epoch  2, Batch   3360, Loss  0.864244, Average Loss  0.869089, Time  0.354254
2021-09-08 23:00:10.217736 : Epoch  2, Batch   3361, Loss  0.873591, Average Loss  0.868927, Time  0.353203
2021-09-08 23:00:11.908942 : Epoch  2, Batch   3362, Loss  0.873786, Average Loss  0.868925, Time  0.414920
2021-09-08 23:00:13.654724 : Epoch  2, Batch   3363, Loss  0.889277, Average Loss  0.869173, Time  0.461436
2021-09-08 23:00:15.287222 : Epoch  2, Batch   3364, Loss  0.889350, Average Loss  0.869396, Time  0.352551
2021-09-08 23:00:16.934949 : Epoch  2, Batch   3365, Loss  0.881328, Average Loss  0.869417, Time  0.353893
2021-09-08 23:00:18.641909 : Epoch  2, Batch   3366, Loss  0.871746, Average Loss  0.869519, Time  0.409289
2021-09-08 23:00:20.387819 : Epoch  2, Batch   3367, Loss  0.833876, Average Loss  0.869321, Time  0.461785
2021-09-08 23:00:22.015477 : Epoch  2, Batch   3368, Loss  0.880113, Average Loss  0.869370, Time  0.353335
2021-09-08 23:00:23.665203 : Epoch  2, Batch   3369, Loss  0.881806, Average Loss  0.869451, Time  0.353009
2021-09-08 23:00:25.373956 : Epoch  2, Batch   3370, Loss  0.878480, Average Loss  0.869449, Time  0.416910
2021-09-08 23:00:27.109782 : Epoch  2, Batch   3371, Loss  0.888364, Average Loss  0.869627, Time  0.463066
2021-09-08 23:00:28.748763 : Epoch  2, Batch   3372, Loss  0.857707, Average Loss  0.869640, Time  0.354139
2021-09-08 23:00:30.380654 : Epoch  2, Batch   3373, Loss  0.889884, Average Loss  0.869743, Time  0.352519
2021-09-08 23:00:32.090841 : Epoch  2, Batch   3374, Loss  0.886773, Average Loss  0.869875, Time  0.411696
2021-09-08 23:00:33.830985 : Epoch  2, Batch   3375, Loss  0.862377, Average Loss  0.869907, Time  0.461299
2021-09-08 23:00:35.482737 : Epoch  2, Batch   3376, Loss  0.880610, Average Loss  0.870089, Time  0.355077
2021-09-08 23:00:37.129205 : Epoch  2, Batch   3377, Loss  0.910750, Average Loss  0.870401, Time  0.353440
2021-09-08 23:00:38.837011 : Epoch  2, Batch   3378, Loss  0.855558, Average Loss  0.870394, Time  0.414914
2021-09-08 23:00:40.597457 : Epoch  2, Batch   3379, Loss  0.877166, Average Loss  0.870493, Time  0.461768
2021-09-08 23:00:42.262967 : Epoch  2, Batch   3380, Loss  0.863359, Average Loss  0.870440, Time  0.355520
2021-09-08 23:00:43.918924 : Epoch  2, Batch   3381, Loss  0.874343, Average Loss  0.870355, Time  0.353910
2021-09-08 23:00:45.619286 : Epoch  2, Batch   3382, Loss  0.905280, Average Loss  0.870377, Time  0.409158
2021-09-08 23:00:47.371635 : Epoch  2, Batch   3383, Loss  0.848431, Average Loss  0.870250, Time  0.462022
2021-09-08 23:00:49.015223 : Epoch  2, Batch   3384, Loss  0.874209, Average Loss  0.870228, Time  0.352832
2021-09-08 23:00:50.569930 : Epoch  2, Batch   3385, Loss  0.836920, Average Loss  0.870074, Time  0.341902
2021-09-08 23:00:52.296838 : Epoch  2, Batch   3386, Loss  0.840996, Average Loss  0.869913, Time  0.434134
2021-09-08 23:00:54.050957 : Epoch  2, Batch   3387, Loss  0.858106, Average Loss  0.869764, Time  0.457989
2021-09-08 23:00:55.676993 : Epoch  2, Batch   3388, Loss  0.890501, Average Loss  0.870000, Time  0.352516
2021-09-08 23:00:57.314837 : Epoch  2, Batch   3389, Loss  0.841968, Average Loss  0.869896, Time  0.352886
2021-09-08 23:05:24.562349 : CheckPoint: Validation Loss  0.00061903, Best Loss  0.00058177
2021-09-08 23:05:26.212195 : Epoch  2, Batch   3390, Loss  0.857144, Average Loss  0.869816, Time  0.354632
2021-09-08 23:05:27.853701 : Epoch  2, Batch   3391, Loss  0.858690, Average Loss  0.869785, Time  0.364688
2021-09-08 23:05:29.586452 : Epoch  2, Batch   3392, Loss  0.890257, Average Loss  0.869905, Time  0.460868
2021-09-08 23:05:31.220960 : Epoch  2, Batch   3393, Loss  0.861272, Average Loss  0.870063, Time  0.352413
2021-09-08 23:05:32.846237 : Epoch  2, Batch   3394, Loss  0.864967, Average Loss  0.870035, Time  0.352883
2021-09-08 23:05:34.521990 : Epoch  2, Batch   3395, Loss  0.854404, Average Loss  0.869997, Time  0.407072
2021-09-08 23:05:36.235891 : Epoch  2, Batch   3396, Loss  0.836855, Average Loss  0.869772, Time  0.461843
2021-09-08 23:05:37.843269 : Epoch  2, Batch   3397, Loss  0.848478, Average Loss  0.869631, Time  0.351577
2021-09-08 23:05:39.489828 : Epoch  2, Batch   3398, Loss  0.840732, Average Loss  0.869448, Time  0.353435
2021-09-08 23:05:41.177658 : Epoch  2, Batch   3399, Loss  0.877966, Average Loss  0.869417, Time  0.416815
2021-09-08 23:05:42.906204 : Epoch  2, Batch   3400, Loss  0.874440, Average Loss  0.869537, Time  0.456614
2021-09-08 23:05:44.552492 : Epoch  2, Batch   3401, Loss  0.868976, Average Loss  0.869392, Time  0.353962
2021-09-08 23:05:46.198646 : Epoch  2, Batch   3402, Loss  0.872762, Average Loss  0.869361, Time  0.355862
2021-09-08 23:05:47.920846 : Epoch  2, Batch   3403, Loss  0.899679, Average Loss  0.869562, Time  0.416596
2021-09-08 23:05:49.661212 : Epoch  2, Batch   3404, Loss  0.857782, Average Loss  0.869502, Time  0.464678
2021-09-08 23:05:51.289313 : Epoch  2, Batch   3405, Loss  0.878437, Average Loss  0.869640, Time  0.353580
2021-09-08 23:05:52.917872 : Epoch  2, Batch   3406, Loss  0.876750, Average Loss  0.869478, Time  0.353353
2021-09-08 23:05:54.615168 : Epoch  2, Batch   3407, Loss  0.862689, Average Loss  0.869423, Time  0.408027
2021-09-08 23:05:56.352846 : Epoch  2, Batch   3408, Loss  0.890536, Average Loss  0.869544, Time  0.460487
2021-09-08 23:05:57.983377 : Epoch  2, Batch   3409, Loss  0.860283, Average Loss  0.869458, Time  0.353795
2021-09-08 23:05:59.616306 : Epoch  2, Batch   3410, Loss  0.852220, Average Loss  0.869357, Time  0.352997
2021-09-08 23:06:01.318326 : Epoch  2, Batch   3411, Loss  0.898644, Average Loss  0.869622, Time  0.411556
2021-09-08 23:06:03.068428 : Epoch  2, Batch   3412, Loss  0.899863, Average Loss  0.869803, Time  0.459515
2021-09-08 23:06:04.699247 : Epoch  2, Batch   3413, Loss  0.874303, Average Loss  0.869864, Time  0.353239
2021-09-08 23:06:06.345926 : Epoch  2, Batch   3414, Loss  0.870106, Average Loss  0.869954, Time  0.352865
2021-09-08 23:06:08.049706 : Epoch  2, Batch   3415, Loss  0.890454, Average Loss  0.870071, Time  0.413918
2021-09-08 23:06:09.792377 : Epoch  2, Batch   3416, Loss  0.874663, Average Loss  0.870018, Time  0.461869
2021-09-08 23:06:11.442290 : Epoch  2, Batch   3417, Loss  0.837481, Average Loss  0.869705, Time  0.353997
2021-09-08 23:06:13.084266 : Epoch  2, Batch   3418, Loss  0.879456, Average Loss  0.869711, Time  0.352207
2021-09-08 23:06:14.768368 : Epoch  2, Batch   3419, Loss  0.840602, Average Loss  0.869624, Time  0.412140
2021-09-08 23:06:16.514692 : Epoch  2, Batch   3420, Loss  0.879410, Average Loss  0.869606, Time  0.464086
2021-09-08 23:06:18.157400 : Epoch  2, Batch   3421, Loss  0.867436, Average Loss  0.869713, Time  0.353248
2021-09-08 23:06:19.808910 : Epoch  2, Batch   3422, Loss  0.878296, Average Loss  0.869754, Time  0.354008
2021-09-08 23:06:21.514768 : Epoch  2, Batch   3423, Loss  0.902117, Average Loss  0.869928, Time  0.408556
2021-09-08 23:06:23.273757 : Epoch  2, Batch   3424, Loss  0.896293, Average Loss  0.870067, Time  0.459623
2021-09-08 23:06:24.922806 : Epoch  2, Batch   3425, Loss  0.872094, Average Loss  0.870030, Time  0.354116
2021-09-08 23:06:26.567387 : Epoch  2, Batch   3426, Loss  0.898288, Average Loss  0.870156, Time  0.353311
2021-09-08 23:06:28.265567 : Epoch  2, Batch   3427, Loss  0.868716, Average Loss  0.870209, Time  0.410919
2021-09-08 23:06:30.006490 : Epoch  2, Batch   3428, Loss  0.870517, Average Loss  0.870193, Time  0.460065
2021-09-08 23:06:31.656914 : Epoch  2, Batch   3429, Loss  0.861017, Average Loss  0.869975, Time  0.354235
2021-09-08 23:06:33.295402 : Epoch  2, Batch   3430, Loss  0.864460, Average Loss  0.869888, Time  0.353311
2021-09-08 23:06:34.986160 : Epoch  2, Batch   3431, Loss  0.870939, Average Loss  0.869854, Time  0.416223
2021-09-08 23:06:36.724451 : Epoch  2, Batch   3432, Loss  0.889068, Average Loss  0.869910, Time  0.461090
2021-09-08 23:06:38.355990 : Epoch  2, Batch   3433, Loss  0.867679, Average Loss  0.870054, Time  0.353131
2021-09-08 23:06:39.980255 : Epoch  2, Batch   3434, Loss  0.871415, Average Loss  0.870151, Time  0.353348
2021-09-08 23:06:41.689492 : Epoch  2, Batch   3435, Loss  0.875689, Average Loss  0.870215, Time  0.413629
2021-09-08 23:06:43.444824 : Epoch  2, Batch   3436, Loss  0.840190, Average Loss  0.870111, Time  0.459412
2021-09-08 23:06:45.097312 : Epoch  2, Batch   3437, Loss  0.882452, Average Loss  0.870103, Time  0.354322
2021-09-08 23:06:46.741297 : Epoch  2, Batch   3438, Loss  0.839196, Average Loss  0.869968, Time  0.351536
2021-09-08 23:06:48.452073 : Epoch  2, Batch   3439, Loss  0.876372, Average Loss  0.870059, Time  0.413352
2021-09-08 23:06:50.209591 : Epoch  2, Batch   3440, Loss  0.885074, Average Loss  0.870195, Time  0.460251
2021-09-08 23:06:51.856825 : Epoch  2, Batch   3441, Loss  0.899082, Average Loss  0.870386, Time  0.353384
2021-09-08 23:06:53.491781 : Epoch  2, Batch   3442, Loss  0.883695, Average Loss  0.870523, Time  0.353274
2021-09-08 23:06:55.183976 : Epoch  2, Batch   3443, Loss  0.862698, Average Loss  0.870528, Time  0.418727
2021-09-08 23:06:56.928682 : Epoch  2, Batch   3444, Loss  0.848373, Average Loss  0.870303, Time  0.463513
2021-09-08 23:06:58.556551 : Epoch  2, Batch   3445, Loss  0.867383, Average Loss  0.870312, Time  0.353704
2021-09-08 23:07:00.190661 : Epoch  2, Batch   3446, Loss  0.916826, Average Loss  0.870614, Time  0.353102
2021-09-08 23:07:01.873001 : Epoch  2, Batch   3447, Loss  0.867466, Average Loss  0.870567, Time  0.409341
2021-09-08 23:07:03.629989 : Epoch  2, Batch   3448, Loss  0.866656, Average Loss  0.870466, Time  0.461507
2021-09-08 23:07:05.279062 : Epoch  2, Batch   3449, Loss  0.864094, Average Loss  0.870454, Time  0.353497
2021-09-08 23:07:06.909101 : Epoch  2, Batch   3450, Loss  0.824042, Average Loss  0.870353, Time  0.353142
2021-09-08 23:07:08.597181 : Epoch  2, Batch   3451, Loss  0.861152, Average Loss  0.870271, Time  0.413879
2021-09-08 23:07:10.338173 : Epoch  2, Batch   3452, Loss  0.862225, Average Loss  0.870406, Time  0.460189
2021-09-08 23:07:11.991569 : Epoch  2, Batch   3453, Loss  0.839404, Average Loss  0.870183, Time  0.353306
2021-09-08 23:07:13.637344 : Epoch  2, Batch   3454, Loss  0.869499, Average Loss  0.870077, Time  0.352492
2021-09-08 23:07:15.350767 : Epoch  2, Batch   3455, Loss  0.872664, Average Loss  0.869947, Time  0.414311
2021-09-08 23:07:17.108644 : Epoch  2, Batch   3456, Loss  0.876391, Average Loss  0.869857, Time  0.458532
2021-09-08 23:07:18.758776 : Epoch  2, Batch   3457, Loss  0.862838, Average Loss  0.869755, Time  0.353782
2021-09-08 23:07:20.398310 : Epoch  2, Batch   3458, Loss  0.856159, Average Loss  0.869698, Time  0.353910
2021-09-08 23:07:22.090130 : Epoch  2, Batch   3459, Loss  0.857106, Average Loss  0.869708, Time  0.415986
2021-09-08 23:07:23.830324 : Epoch  2, Batch   3460, Loss  0.836333, Average Loss  0.869649, Time  0.464314
2021-09-08 23:07:25.463177 : Epoch  2, Batch   3461, Loss  0.850032, Average Loss  0.869471, Time  0.355199
2021-09-08 23:07:27.092328 : Epoch  2, Batch   3462, Loss  0.870792, Average Loss  0.869451, Time  0.351308
2021-09-08 23:07:28.785515 : Epoch  2, Batch   3463, Loss  0.859715, Average Loss  0.869554, Time  0.414681
2021-09-08 23:07:30.540074 : Epoch  2, Batch   3464, Loss  0.862434, Average Loss  0.869503, Time  0.462432
2021-09-08 23:07:32.198993 : Epoch  2, Batch   3465, Loss  0.854463, Average Loss  0.869548, Time  0.354674
2021-09-08 23:07:33.852456 : Epoch  2, Batch   3466, Loss  0.871130, Average Loss  0.869468, Time  0.352889
2021-09-08 23:07:35.556241 : Epoch  2, Batch   3467, Loss  0.866436, Average Loss  0.869476, Time  0.408089
2021-09-08 23:07:37.313960 : Epoch  2, Batch   3468, Loss  0.852754, Average Loss  0.869344, Time  0.462635
2021-09-08 23:07:38.948379 : Epoch  2, Batch   3469, Loss  0.883611, Average Loss  0.869378, Time  0.352759
2021-09-08 23:07:40.578560 : Epoch  2, Batch   3470, Loss  0.841556, Average Loss  0.869330, Time  0.352846
2021-09-08 23:07:42.263214 : Epoch  2, Batch   3471, Loss  0.841764, Average Loss  0.869226, Time  0.404481
2021-09-08 23:07:44.003988 : Epoch  2, Batch   3472, Loss  0.867675, Average Loss  0.869176, Time  0.463290
2021-09-08 23:07:45.649981 : Epoch  2, Batch   3473, Loss  0.874679, Average Loss  0.869276, Time  0.353586
2021-09-08 23:07:47.288264 : Epoch  2, Batch   3474, Loss  0.866362, Average Loss  0.869275, Time  0.354722
2021-09-08 23:07:48.987472 : Epoch  2, Batch   3475, Loss  0.879860, Average Loss  0.869177, Time  0.407239
2021-09-08 23:07:50.750876 : Epoch  2, Batch   3476, Loss  0.859452, Average Loss  0.869193, Time  0.462424
2021-09-08 23:07:52.381065 : Epoch  2, Batch   3477, Loss  0.861327, Average Loss  0.869124, Time  0.351325
2021-09-08 23:07:54.013747 : Epoch  2, Batch   3478, Loss  0.891029, Average Loss  0.869328, Time  0.353520
2021-09-08 23:07:55.702674 : Epoch  2, Batch   3479, Loss  0.889633, Average Loss  0.869357, Time  0.407192
2021-09-08 23:07:57.445019 : Epoch  2, Batch   3480, Loss  0.871171, Average Loss  0.869203, Time  0.462785
2021-09-08 23:07:59.076508 : Epoch  2, Batch   3481, Loss  0.856331, Average Loss  0.869278, Time  0.353885
2021-09-08 23:08:00.714672 : Epoch  2, Batch   3482, Loss  0.862726, Average Loss  0.869339, Time  0.352650
2021-09-08 23:08:02.412994 : Epoch  2, Batch   3483, Loss  0.882543, Average Loss  0.869552, Time  0.409175
2021-09-08 23:08:04.176296 : Epoch  2, Batch   3484, Loss  0.862902, Average Loss  0.869572, Time  0.462741
2021-09-08 23:08:05.814320 : Epoch  2, Batch   3485, Loss  0.847317, Average Loss  0.869550, Time  0.354745
2021-09-08 23:08:07.443932 : Epoch  2, Batch   3486, Loss  0.883016, Average Loss  0.869660, Time  0.353593
2021-09-08 23:08:09.140256 : Epoch  2, Batch   3487, Loss  0.831745, Average Loss  0.869507, Time  0.410356
2021-09-08 23:08:10.874999 : Epoch  2, Batch   3488, Loss  0.855291, Average Loss  0.869380, Time  0.460600
2021-09-08 23:08:12.518581 : Epoch  2, Batch   3489, Loss  0.858389, Average Loss  0.869161, Time  0.355240
2021-09-08 23:12:37.581108 : CheckPoint: Validation Loss  0.00059451, Best Loss  0.00058177
2021-09-08 23:12:39.225818 : Epoch  2, Batch   3490, Loss  0.856858, Average Loss  0.869050, Time  0.352745
2021-09-08 23:12:40.943978 : Epoch  2, Batch   3491, Loss  0.892085, Average Loss  0.869168, Time  0.436504
2021-09-08 23:12:42.699841 : Epoch  2, Batch   3492, Loss  0.873827, Average Loss  0.869210, Time  0.457517
2021-09-08 23:12:44.352295 : Epoch  2, Batch   3493, Loss  0.895533, Average Loss  0.869201, Time  0.354636
2021-09-08 23:12:46.003479 : Epoch  2, Batch   3494, Loss  0.873537, Average Loss  0.869260, Time  0.353582
2021-09-08 23:12:47.717044 : Epoch  2, Batch   3495, Loss  0.862160, Average Loss  0.869286, Time  0.413984
2021-09-08 23:12:49.484212 : Epoch  2, Batch   3496, Loss  0.883548, Average Loss  0.869425, Time  0.462600
2021-09-08 23:12:51.139782 : Epoch  2, Batch   3497, Loss  0.890532, Average Loss  0.869575, Time  0.354277
2021-09-08 23:12:52.783271 : Epoch  2, Batch   3498, Loss  0.860725, Average Loss  0.869673, Time  0.352787
2021-09-08 23:12:54.477519 : Epoch  2, Batch   3499, Loss  0.876255, Average Loss  0.869734, Time  0.411890
2021-09-08 23:12:56.214526 : Epoch  2, Batch   3500, Loss  0.905524, Average Loss  0.869762, Time  0.459961
2021-09-08 23:12:57.846447 : Epoch  2, Batch   3501, Loss  0.902236, Average Loss  0.869783, Time  0.354045
2021-09-08 23:12:59.473700 : Epoch  2, Batch   3502, Loss  0.837442, Average Loss  0.869689, Time  0.351341
2021-09-08 23:13:01.174267 : Epoch  2, Batch   3503, Loss  0.872183, Average Loss  0.869683, Time  0.417808
2021-09-08 23:13:02.927726 : Epoch  2, Batch   3504, Loss  0.865176, Average Loss  0.869665, Time  0.458045
2021-09-08 23:13:04.576807 : Epoch  2, Batch   3505, Loss  0.858579, Average Loss  0.869668, Time  0.355601
2021-09-08 23:13:06.229981 : Epoch  2, Batch   3506, Loss  0.872110, Average Loss  0.869431, Time  0.353838
2021-09-08 23:13:07.941198 : Epoch  2, Batch   3507, Loss  0.848770, Average Loss  0.869305, Time  0.415430
2021-09-08 23:13:09.687151 : Epoch  2, Batch   3508, Loss  0.878475, Average Loss  0.869444, Time  0.460257
2021-09-08 23:13:11.333218 : Epoch  2, Batch   3509, Loss  0.820068, Average Loss  0.869189, Time  0.354464
2021-09-08 23:13:12.983202 : Epoch  2, Batch   3510, Loss  0.852560, Average Loss  0.869040, Time  0.352864
2021-09-08 23:13:14.691184 : Epoch  2, Batch   3511, Loss  0.876758, Average Loss  0.868991, Time  0.402173
2021-09-08 23:13:16.446132 : Epoch  2, Batch   3512, Loss  0.846048, Average Loss  0.868985, Time  0.457113
2021-09-08 23:13:18.095474 : Epoch  2, Batch   3513, Loss  0.854331, Average Loss  0.869018, Time  0.354058
2021-09-08 23:13:19.728720 : Epoch  2, Batch   3514, Loss  0.846111, Average Loss  0.868928, Time  0.353246
2021-09-08 23:13:21.422113 : Epoch  2, Batch   3515, Loss  0.841951, Average Loss  0.868954, Time  0.415462
2021-09-08 23:13:23.165211 : Epoch  2, Batch   3516, Loss  0.859113, Average Loss  0.868901, Time  0.462912
2021-09-08 23:13:24.759708 : Epoch  2, Batch   3517, Loss  0.841299, Average Loss  0.868706, Time  0.354765
2021-09-08 23:13:26.391811 : Epoch  2, Batch   3518, Loss  0.884721, Average Loss  0.868860, Time  0.354206
2021-09-08 23:13:28.074099 : Epoch  2, Batch   3519, Loss  0.886886, Average Loss  0.868796, Time  0.406978
2021-09-08 23:13:29.813478 : Epoch  2, Batch   3520, Loss  0.870343, Average Loss  0.868762, Time  0.463105
2021-09-08 23:13:31.448051 : Epoch  2, Batch   3521, Loss  0.867997, Average Loss  0.868756, Time  0.352651
2021-09-08 23:13:33.079904 : Epoch  2, Batch   3522, Loss  0.855797, Average Loss  0.868714, Time  0.354862
2021-09-08 23:13:34.784895 : Epoch  2, Batch   3523, Loss  0.884857, Average Loss  0.868671, Time  0.413640
2021-09-08 23:13:36.536305 : Epoch  2, Batch   3524, Loss  0.829021, Average Loss  0.868399, Time  0.457500
2021-09-08 23:13:38.187922 : Epoch  2, Batch   3525, Loss  0.869219, Average Loss  0.868422, Time  0.355340
2021-09-08 23:13:39.829860 : Epoch  2, Batch   3526, Loss  0.836127, Average Loss  0.868431, Time  0.351463
2021-09-08 23:13:41.518274 : Epoch  2, Batch   3527, Loss  0.852772, Average Loss  0.868175, Time  0.415483
2021-09-08 23:13:43.269996 : Epoch  2, Batch   3528, Loss  0.880734, Average Loss  0.868423, Time  0.460201
2021-09-08 23:13:44.904562 : Epoch  2, Batch   3529, Loss  0.881967, Average Loss  0.868498, Time  0.353224
2021-09-08 23:13:46.557894 : Epoch  2, Batch   3530, Loss  0.878077, Average Loss  0.868578, Time  0.353476
2021-09-08 23:13:48.258397 : Epoch  2, Batch   3531, Loss  0.845436, Average Loss  0.868294, Time  0.407586
2021-09-08 23:13:50.004110 : Epoch  2, Batch   3532, Loss  0.866922, Average Loss  0.868246, Time  0.462641
2021-09-08 23:13:51.635229 : Epoch  2, Batch   3533, Loss  0.877230, Average Loss  0.868165, Time  0.353140
2021-09-08 23:13:53.268143 : Epoch  2, Batch   3534, Loss  0.852731, Average Loss  0.868037, Time  0.354399
2021-09-08 23:13:54.957574 : Epoch  2, Batch   3535, Loss  0.884176, Average Loss  0.868133, Time  0.409352
2021-09-08 23:13:56.708035 : Epoch  2, Batch   3536, Loss  0.837221, Average Loss  0.868034, Time  0.464268
2021-09-08 23:13:58.336466 : Epoch  2, Batch   3537, Loss  0.839386, Average Loss  0.867900, Time  0.353359
2021-09-08 23:13:59.975775 : Epoch  2, Batch   3538, Loss  0.858966, Average Loss  0.867959, Time  0.352391
2021-09-08 23:14:01.664251 : Epoch  2, Batch   3539, Loss  0.857916, Average Loss  0.867997, Time  0.412637
2021-09-08 23:14:03.401350 : Epoch  2, Batch   3540, Loss  0.882888, Average Loss  0.868030, Time  0.464878
2021-09-08 23:14:05.028938 : Epoch  2, Batch   3541, Loss  0.887236, Average Loss  0.868038, Time  0.351339
2021-09-08 23:14:06.663179 : Epoch  2, Batch   3542, Loss  0.892455, Average Loss  0.868092, Time  0.352384
2021-09-08 23:14:08.348184 : Epoch  2, Batch   3543, Loss  0.889769, Average Loss  0.868241, Time  0.410824
2021-09-08 23:14:10.088305 : Epoch  2, Batch   3544, Loss  0.848979, Average Loss  0.868132, Time  0.462682
2021-09-08 23:14:11.727877 : Epoch  2, Batch   3545, Loss  0.824060, Average Loss  0.867797, Time  0.353630
2021-09-08 23:14:13.359717 : Epoch  2, Batch   3546, Loss  0.872921, Average Loss  0.867997, Time  0.353725
2021-09-08 23:14:15.045747 : Epoch  2, Batch   3547, Loss  0.821969, Average Loss  0.867679, Time  0.409819
2021-09-08 23:14:16.789356 : Epoch  2, Batch   3548, Loss  0.846128, Average Loss  0.867540, Time  0.460776
2021-09-08 23:14:18.422717 : Epoch  2, Batch   3549, Loss  0.854148, Average Loss  0.867603, Time  0.354623
2021-09-08 23:14:20.054447 : Epoch  2, Batch   3550, Loss  0.844261, Average Loss  0.867406, Time  0.353274
2021-09-08 23:14:21.740521 : Epoch  2, Batch   3551, Loss  0.887555, Average Loss  0.867512, Time  0.409416
2021-09-08 23:14:23.485937 : Epoch  2, Batch   3552, Loss  0.856134, Average Loss  0.867479, Time  0.460377
2021-09-08 23:14:25.121847 : Epoch  2, Batch   3553, Loss  0.876629, Average Loss  0.867527, Time  0.353516
2021-09-08 23:14:26.763668 : Epoch  2, Batch   3554, Loss  0.867629, Average Loss  0.867376, Time  0.353451
2021-09-08 23:14:28.456732 : Epoch  2, Batch   3555, Loss  0.893808, Average Loss  0.867469, Time  0.407537
2021-09-08 23:14:30.193735 : Epoch  2, Batch   3556, Loss  0.874872, Average Loss  0.867410, Time  0.461254
2021-09-08 23:14:31.829109 : Epoch  2, Batch   3557, Loss  0.866665, Average Loss  0.867465, Time  0.353711
2021-09-08 23:14:33.469940 : Epoch  2, Batch   3558, Loss  0.856685, Average Loss  0.867381, Time  0.352031
2021-09-08 23:14:35.156037 : Epoch  2, Batch   3559, Loss  0.864880, Average Loss  0.867353, Time  0.411505
2021-09-08 23:14:36.894121 : Epoch  2, Batch   3560, Loss  0.895499, Average Loss  0.867510, Time  0.459510
2021-09-08 23:14:38.522870 : Epoch  2, Batch   3561, Loss  0.856360, Average Loss  0.867424, Time  0.352353
2021-09-08 23:14:40.158445 : Epoch  2, Batch   3562, Loss  0.872428, Average Loss  0.867417, Time  0.352475
2021-09-08 23:14:41.843996 : Epoch  2, Batch   3563, Loss  0.899607, Average Loss  0.867468, Time  0.415572
2021-09-08 23:14:43.598240 : Epoch  2, Batch   3564, Loss  0.852354, Average Loss  0.867283, Time  0.458023
2021-09-08 23:14:45.231651 : Epoch  2, Batch   3565, Loss  0.889237, Average Loss  0.867323, Time  0.353412
2021-09-08 23:14:46.853992 : Epoch  2, Batch   3566, Loss  0.864627, Average Loss  0.867287, Time  0.354244
2021-09-08 23:14:48.557020 : Epoch  2, Batch   3567, Loss  0.864998, Average Loss  0.867443, Time  0.418359
2021-09-08 23:14:50.322381 : Epoch  2, Batch   3568, Loss  0.861492, Average Loss  0.867350, Time  0.462703
2021-09-08 23:14:51.967022 : Epoch  2, Batch   3569, Loss  0.855504, Average Loss  0.867218, Time  0.352047
2021-09-08 23:14:53.600003 : Epoch  2, Batch   3570, Loss  0.846412, Average Loss  0.867058, Time  0.353474
2021-09-08 23:14:55.287033 : Epoch  2, Batch   3571, Loss  0.880014, Average Loss  0.867016, Time  0.416603
2021-09-08 23:14:57.027777 : Epoch  2, Batch   3572, Loss  0.867767, Average Loss  0.867067, Time  0.459147
2021-09-08 23:14:58.670922 : Epoch  2, Batch   3573, Loss  0.850865, Average Loss  0.866871, Time  0.354057
2021-09-08 23:15:00.311267 : Epoch  2, Batch   3574, Loss  0.905130, Average Loss  0.866963, Time  0.353426
2021-09-08 23:15:02.019689 : Epoch  2, Batch   3575, Loss  0.839068, Average Loss  0.866847, Time  0.421075
2021-09-08 23:15:03.773783 : Epoch  2, Batch   3576, Loss  0.871029, Average Loss  0.866799, Time  0.461073
2021-09-08 23:15:05.441874 : Epoch  2, Batch   3577, Loss  0.882924, Average Loss  0.866660, Time  0.351941
2021-09-08 23:15:07.072336 : Epoch  2, Batch   3578, Loss  0.902191, Average Loss  0.866893, Time  0.352994
2021-09-08 23:15:08.759507 : Epoch  2, Batch   3579, Loss  0.856462, Average Loss  0.866789, Time  0.417302
2021-09-08 23:15:10.508330 : Epoch  2, Batch   3580, Loss  0.850028, Average Loss  0.866723, Time  0.460154
2021-09-08 23:15:12.149432 : Epoch  2, Batch   3581, Loss  0.883324, Average Loss  0.866768, Time  0.352423
2021-09-08 23:15:13.771471 : Epoch  2, Batch   3582, Loss  0.908554, Average Loss  0.866784, Time  0.350831
2021-09-08 23:15:15.464969 : Epoch  2, Batch   3583, Loss  0.873274, Average Loss  0.866908, Time  0.417782
2021-09-08 23:15:17.197056 : Epoch  2, Batch   3584, Loss  0.905513, Average Loss  0.867065, Time  0.459404
2021-09-08 23:15:18.833204 : Epoch  2, Batch   3585, Loss  0.874220, Average Loss  0.867251, Time  0.355019
2021-09-08 23:15:20.461033 : Epoch  2, Batch   3586, Loss  0.858932, Average Loss  0.867341, Time  0.353503
2021-09-08 23:15:22.146797 : Epoch  2, Batch   3587, Loss  0.860150, Average Loss  0.867351, Time  0.415105
2021-09-08 23:15:23.884605 : Epoch  2, Batch   3588, Loss  0.902620, Average Loss  0.867412, Time  0.461751
2021-09-08 23:15:25.520332 : Epoch  2, Batch   3589, Loss  0.859310, Average Loss  0.867498, Time  0.353194
2021-09-08 23:19:52.020032 : CheckPoint: Validation Loss  0.00061218, Best Loss  0.00058177
2021-09-08 23:19:53.665418 : Epoch  2, Batch   3590, Loss  0.851611, Average Loss  0.867471, Time  0.354712
2021-09-08 23:19:55.342810 : Epoch  2, Batch   3591, Loss  0.859054, Average Loss  0.867473, Time  0.384070
2021-09-08 23:19:57.089153 : Epoch  2, Batch   3592, Loss  0.888586, Average Loss  0.867464, Time  0.458885
2021-09-08 23:19:58.711219 : Epoch  2, Batch   3593, Loss  0.872259, Average Loss  0.867519, Time  0.353611
2021-09-08 23:20:00.338707 : Epoch  2, Batch   3594, Loss  0.854705, Average Loss  0.867468, Time  0.353279
2021-09-08 23:20:02.023998 : Epoch  2, Batch   3595, Loss  0.877266, Average Loss  0.867582, Time  0.417313
2021-09-08 23:20:03.772113 : Epoch  2, Batch   3596, Loss  0.872159, Average Loss  0.867759, Time  0.457828
2021-09-08 23:20:05.410373 : Epoch  2, Batch   3597, Loss  0.859751, Average Loss  0.867815, Time  0.352876
2021-09-08 23:20:07.030533 : Epoch  2, Batch   3598, Loss  0.886045, Average Loss  0.868042, Time  0.353274
2021-09-08 23:20:08.721330 : Epoch  2, Batch   3599, Loss  0.862608, Average Loss  0.867965, Time  0.419307
2021-09-08 23:20:10.461893 : Epoch  2, Batch   3600, Loss  0.829600, Average Loss  0.867741, Time  0.459267
2021-09-08 23:20:12.104687 : Epoch  2, Batch   3601, Loss  0.884476, Average Loss  0.867818, Time  0.353809
2021-09-08 23:20:13.749573 : Epoch  2, Batch   3602, Loss  0.891887, Average Loss  0.867914, Time  0.352884
2021-09-08 23:20:15.460712 : Epoch  2, Batch   3603, Loss  0.865047, Average Loss  0.867741, Time  0.419301
2021-09-08 23:20:17.222324 : Epoch  2, Batch   3604, Loss  0.877427, Average Loss  0.867839, Time  0.462237
2021-09-08 23:20:18.870505 : Epoch  2, Batch   3605, Loss  0.843938, Average Loss  0.867666, Time  0.354807
2021-09-08 23:20:20.509448 : Epoch  2, Batch   3606, Loss  0.901618, Average Loss  0.867791, Time  0.353682
2021-09-08 23:20:22.195520 : Epoch  2, Batch   3607, Loss  0.893056, Average Loss  0.867942, Time  0.413329
2021-09-08 23:20:23.934852 : Epoch  2, Batch   3608, Loss  0.877929, Average Loss  0.867879, Time  0.460105
2021-09-08 23:20:25.562331 : Epoch  2, Batch   3609, Loss  0.877426, Average Loss  0.867965, Time  0.354192
2021-09-08 23:20:27.192359 : Epoch  2, Batch   3610, Loss  0.868025, Average Loss  0.868044, Time  0.351799
2021-09-08 23:20:28.880911 : Epoch  2, Batch   3611, Loss  0.823719, Average Loss  0.867670, Time  0.412674
2021-09-08 23:20:30.614247 : Epoch  2, Batch   3612, Loss  0.868641, Average Loss  0.867513, Time  0.460324
2021-09-08 23:20:32.247213 : Epoch  2, Batch   3613, Loss  0.845709, Average Loss  0.867370, Time  0.355326
2021-09-08 23:20:33.870747 : Epoch  2, Batch   3614, Loss  0.889600, Average Loss  0.867468, Time  0.353694
2021-09-08 23:20:35.559106 : Epoch  2, Batch   3615, Loss  0.912791, Average Loss  0.867580, Time  0.419131
2021-09-08 23:20:37.292365 : Epoch  2, Batch   3616, Loss  0.894729, Average Loss  0.867680, Time  0.461033
2021-09-08 23:20:38.925961 : Epoch  2, Batch   3617, Loss  0.872773, Average Loss  0.867856, Time  0.352588
2021-09-08 23:20:40.553949 : Epoch  2, Batch   3618, Loss  0.861394, Average Loss  0.867766, Time  0.352638
2021-09-08 23:20:42.241718 : Epoch  2, Batch   3619, Loss  0.874558, Average Loss  0.867936, Time  0.415916
2021-09-08 23:20:43.977195 : Epoch  2, Batch   3620, Loss  0.832606, Average Loss  0.867702, Time  0.460812
2021-09-08 23:20:45.611014 : Epoch  2, Batch   3621, Loss  0.882198, Average Loss  0.867776, Time  0.353346
2021-09-08 23:20:47.231529 : Epoch  2, Batch   3622, Loss  0.842310, Average Loss  0.867596, Time  0.354182
2021-09-08 23:20:48.964722 : Epoch  2, Batch   3623, Loss  0.898439, Average Loss  0.867577, Time  0.419760
2021-09-08 23:20:50.704836 : Epoch  2, Batch   3624, Loss  0.862306, Average Loss  0.867407, Time  0.460607
2021-09-08 23:20:52.333939 : Epoch  2, Batch   3625, Loss  0.905606, Average Loss  0.867575, Time  0.353996
2021-09-08 23:20:53.946568 : Epoch  2, Batch   3626, Loss  0.878388, Average Loss  0.867475, Time  0.350613
2021-09-08 23:20:55.595650 : Epoch  2, Batch   3627, Loss  0.859004, Average Loss  0.867427, Time  0.414993
2021-09-08 23:20:57.331411 : Epoch  2, Batch   3628, Loss  0.878309, Average Loss  0.867466, Time  0.459548
2021-09-08 23:20:58.938982 : Epoch  2, Batch   3629, Loss  0.880075, Average Loss  0.867561, Time  0.353549
2021-09-08 23:21:00.573149 : Epoch  2, Batch   3630, Loss  0.871653, Average Loss  0.867597, Time  0.354512
2021-09-08 23:21:02.269995 : Epoch  2, Batch   3631, Loss  0.844914, Average Loss  0.867467, Time  0.424146
2021-09-08 23:21:03.974075 : Epoch  2, Batch   3632, Loss  0.851808, Average Loss  0.867281, Time  0.458955
2021-09-08 23:21:05.611697 : Epoch  2, Batch   3633, Loss  0.843808, Average Loss  0.867161, Time  0.351887
2021-09-08 23:21:07.236674 : Epoch  2, Batch   3634, Loss  0.870784, Average Loss  0.867158, Time  0.355910
2021-09-08 23:21:08.925988 : Epoch  2, Batch   3635, Loss  0.869863, Average Loss  0.867129, Time  0.421298
2021-09-08 23:21:10.688702 : Epoch  2, Batch   3636, Loss  0.884444, Average Loss  0.867350, Time  0.461663
2021-09-08 23:21:12.303525 : Epoch  2, Batch   3637, Loss  0.869466, Average Loss  0.867285, Time  0.354883
2021-09-08 23:21:13.930559 : Epoch  2, Batch   3638, Loss  0.865881, Average Loss  0.867419, Time  0.353690
2021-09-08 23:21:15.631148 : Epoch  2, Batch   3639, Loss  0.853926, Average Loss  0.867307, Time  0.426901
2021-09-08 23:21:17.369149 : Epoch  2, Batch   3640, Loss  0.875225, Average Loss  0.867257, Time  0.459981
2021-09-08 23:21:19.024376 : Epoch  2, Batch   3641, Loss  0.851265, Average Loss  0.867018, Time  0.354918
2021-09-08 23:21:20.644497 : Epoch  2, Batch   3642, Loss  0.848747, Average Loss  0.866844, Time  0.355501
2021-09-08 23:21:22.345887 : Epoch  2, Batch   3643, Loss  0.849752, Average Loss  0.866779, Time  0.424179
2021-09-08 23:21:24.082669 : Epoch  2, Batch   3644, Loss  0.877125, Average Loss  0.866923, Time  0.459532
2021-09-08 23:21:25.708067 : Epoch  2, Batch   3645, Loss  0.874000, Average Loss  0.866956, Time  0.354116
2021-09-08 23:21:27.350355 : Epoch  2, Batch   3646, Loss  0.853765, Average Loss  0.866640, Time  0.354313
2021-09-08 23:21:29.058671 : Epoch  2, Batch   3647, Loss  0.872910, Average Loss  0.866668, Time  0.417267
2021-09-08 23:21:30.807389 : Epoch  2, Batch   3648, Loss  0.868133, Average Loss  0.866675, Time  0.456646
2021-09-08 23:21:32.437013 : Epoch  2, Batch   3649, Loss  0.854103, Average Loss  0.866625, Time  0.352889
2021-09-08 23:21:34.056980 : Epoch  2, Batch   3650, Loss  0.888297, Average Loss  0.866946, Time  0.353748
2021-09-08 23:21:35.746068 : Epoch  2, Batch   3651, Loss  0.888919, Average Loss  0.867085, Time  0.418946
2021-09-08 23:21:37.481439 : Epoch  2, Batch   3652, Loss  0.853764, Average Loss  0.867043, Time  0.462614
2021-09-08 23:21:39.107522 : Epoch  2, Batch   3653, Loss  0.865131, Average Loss  0.867171, Time  0.354691
2021-09-08 23:21:40.743396 : Epoch  2, Batch   3654, Loss  0.865203, Average Loss  0.867150, Time  0.353035
2021-09-08 23:21:42.446544 : Epoch  2, Batch   3655, Loss  0.877446, Average Loss  0.867174, Time  0.417190
2021-09-08 23:21:44.178591 : Epoch  2, Batch   3656, Loss  0.855648, Average Loss  0.867070, Time  0.461527
2021-09-08 23:21:45.814979 : Epoch  2, Batch   3657, Loss  0.874513, Average Loss  0.867129, Time  0.355256
2021-09-08 23:21:47.456896 : Epoch  2, Batch   3658, Loss  0.862345, Average Loss  0.867159, Time  0.355191
2021-09-08 23:21:49.135050 : Epoch  2, Batch   3659, Loss  0.830223, Average Loss  0.867025, Time  0.415625
2021-09-08 23:21:50.872670 : Epoch  2, Batch   3660, Loss  0.883540, Average Loss  0.867261, Time  0.462069
2021-09-08 23:21:52.501023 : Epoch  2, Batch   3661, Loss  0.861844, Average Loss  0.867320, Time  0.353802
2021-09-08 23:21:54.127745 : Epoch  2, Batch   3662, Loss  0.843584, Average Loss  0.867184, Time  0.353470
2021-09-08 23:21:55.808787 : Epoch  2, Batch   3663, Loss  0.871130, Average Loss  0.867241, Time  0.415220
2021-09-08 23:21:57.578744 : Epoch  2, Batch   3664, Loss  0.887269, Average Loss  0.867365, Time  0.459393
2021-09-08 23:21:59.241538 : Epoch  2, Batch   3665, Loss  0.838217, Average Loss  0.867284, Time  0.355148
2021-09-08 23:22:00.886103 : Epoch  2, Batch   3666, Loss  0.860074, Average Loss  0.867229, Time  0.353295
2021-09-08 23:22:02.586671 : Epoch  2, Batch   3667, Loss  0.870471, Average Loss  0.867249, Time  0.415968
2021-09-08 23:22:04.343558 : Epoch  2, Batch   3668, Loss  0.855183, Average Loss  0.867261, Time  0.463226
2021-09-08 23:22:05.966156 : Epoch  2, Batch   3669, Loss  0.850477, Average Loss  0.867096, Time  0.352999
2021-09-08 23:22:07.591437 : Epoch  2, Batch   3670, Loss  0.879375, Average Loss  0.867285, Time  0.353249
2021-09-08 23:22:09.293084 : Epoch  2, Batch   3671, Loss  0.836812, Average Loss  0.867260, Time  0.419208
2021-09-08 23:22:11.053701 : Epoch  2, Batch   3672, Loss  0.914554, Average Loss  0.867494, Time  0.461469
2021-09-08 23:22:12.692896 : Epoch  2, Batch   3673, Loss  0.852109, Average Loss  0.867381, Time  0.354017
2021-09-08 23:22:14.333098 : Epoch  2, Batch   3674, Loss  0.862762, Average Loss  0.867363, Time  0.352794
2021-09-08 23:22:16.037732 : Epoch  2, Batch   3675, Loss  0.881327, Average Loss  0.867371, Time  0.416161
2021-09-08 23:22:17.792474 : Epoch  2, Batch   3676, Loss  0.871974, Average Loss  0.867433, Time  0.461924
2021-09-08 23:22:19.422547 : Epoch  2, Batch   3677, Loss  0.871017, Average Loss  0.867482, Time  0.352347
2021-09-08 23:22:21.050377 : Epoch  2, Batch   3678, Loss  0.834841, Average Loss  0.867201, Time  0.352049
2021-09-08 23:22:22.743808 : Epoch  2, Batch   3679, Loss  0.886135, Average Loss  0.867183, Time  0.417655
2021-09-08 23:22:24.480288 : Epoch  2, Batch   3680, Loss  0.879430, Average Loss  0.867225, Time  0.459977
2021-09-08 23:22:26.106600 : Epoch  2, Batch   3681, Loss  0.863155, Average Loss  0.867259, Time  0.353384
2021-09-08 23:22:27.730942 : Epoch  2, Batch   3682, Loss  0.892169, Average Loss  0.867406, Time  0.352711
2021-09-08 23:22:29.422652 : Epoch  2, Batch   3683, Loss  0.872637, Average Loss  0.867356, Time  0.419528
2021-09-08 23:22:31.154802 : Epoch  2, Batch   3684, Loss  0.882530, Average Loss  0.867455, Time  0.461826
2021-09-08 23:22:32.780699 : Epoch  2, Batch   3685, Loss  0.856130, Average Loss  0.867499, Time  0.353590
2021-09-08 23:22:34.403194 : Epoch  2, Batch   3686, Loss  0.888854, Average Loss  0.867528, Time  0.352802
2021-09-08 23:22:36.089341 : Epoch  2, Batch   3687, Loss  0.850295, Average Loss  0.867621, Time  0.414534
2021-09-08 23:22:37.817221 : Epoch  2, Batch   3688, Loss  0.893790, Average Loss  0.867813, Time  0.458975
2021-09-08 23:22:39.440341 : Epoch  2, Batch   3689, Loss  0.877339, Average Loss  0.867908, Time  0.353192
2021-09-08 23:27:05.723436 : CheckPoint: Validation Loss  0.00063275, Best Loss  0.00058177
2021-09-08 23:27:07.345437 : Epoch  2, Batch   3690, Loss  0.882972, Average Loss  0.868038, Time  0.354227
2021-09-08 23:27:08.946083 : Epoch  2, Batch   3691, Loss  0.892572, Average Loss  0.868041, Time  0.353815
2021-09-08 23:27:10.635327 : Epoch  2, Batch   3692, Loss  0.865043, Average Loss  0.867997, Time  0.434328
2021-09-08 23:27:12.369030 : Epoch  2, Batch   3693, Loss  0.856531, Average Loss  0.867802, Time  0.451611
2021-09-08 23:27:13.992247 : Epoch  2, Batch   3694, Loss  0.856104, Average Loss  0.867715, Time  0.355667
2021-09-08 23:27:15.589704 : Epoch  2, Batch   3695, Loss  0.860126, Average Loss  0.867705, Time  0.354254
2021-09-08 23:27:17.303302 : Epoch  2, Batch   3696, Loss  0.871058, Average Loss  0.867642, Time  0.436434
2021-09-08 23:27:19.043080 : Epoch  2, Batch   3697, Loss  0.844470, Average Loss  0.867412, Time  0.452992
2021-09-08 23:27:20.670005 : Epoch  2, Batch   3698, Loss  0.865649, Average Loss  0.867436, Time  0.355046
2021-09-08 23:27:22.288092 : Epoch  2, Batch   3699, Loss  0.866045, Average Loss  0.867385, Time  0.354579
2021-09-08 23:27:23.992030 : Epoch  2, Batch   3700, Loss  0.885948, Average Loss  0.867287, Time  0.434413
2021-09-08 23:27:25.741730 : Epoch  2, Batch   3701, Loss  0.856990, Average Loss  0.867061, Time  0.454594
2021-09-08 23:27:27.360941 : Epoch  2, Batch   3702, Loss  0.831951, Average Loss  0.867034, Time  0.354471
2021-09-08 23:27:28.969705 : Epoch  2, Batch   3703, Loss  0.879462, Average Loss  0.867070, Time  0.356787
2021-09-08 23:27:30.682337 : Epoch  2, Batch   3704, Loss  0.856539, Average Loss  0.867027, Time  0.437739
2021-09-08 23:27:32.421809 : Epoch  2, Batch   3705, Loss  0.859874, Average Loss  0.867033, Time  0.456159
2021-09-08 23:27:34.047100 : Epoch  2, Batch   3706, Loss  0.864030, Average Loss  0.866993, Time  0.355585
2021-09-08 23:27:35.638296 : Epoch  2, Batch   3707, Loss  0.839605, Average Loss  0.866947, Time  0.352939
2021-09-08 23:27:37.340141 : Epoch  2, Batch   3708, Loss  0.856677, Average Loss  0.866838, Time  0.440806
2021-09-08 23:27:39.061363 : Epoch  2, Batch   3709, Loss  0.860571, Average Loss  0.867041, Time  0.451048
2021-09-08 23:27:40.684516 : Epoch  2, Batch   3710, Loss  0.872386, Average Loss  0.867140, Time  0.356940
2021-09-08 23:27:42.283451 : Epoch  2, Batch   3711, Loss  0.841888, Average Loss  0.866966, Time  0.352918
2021-09-08 23:27:42.317667 : Saving Model after 2-th Epoch.
2021-09-08 23:27:46.281813 : Epoch Finished.
2021-09-08 23:27:51.893092 : Batch Shuffled
2021-09-08 23:27:53.537335 : Epoch  3, Batch      1, Loss  0.843763, Average Loss  0.866954, Time  0.367641
2021-09-08 23:27:55.133493 : Epoch  3, Batch      2, Loss  0.855278, Average Loss  0.866959, Time  0.352440
2021-09-08 23:27:56.832648 : Epoch  3, Batch      3, Loss  0.884983, Average Loss  0.867153, Time  0.440724
2021-09-08 23:27:58.521349 : Epoch  3, Batch      4, Loss  0.859711, Average Loss  0.867242, Time  0.405926
2021-09-08 23:28:00.135066 : Epoch  3, Batch      5, Loss  0.876910, Average Loss  0.867331, Time  0.352607
2021-09-08 23:28:01.813398 : Epoch  3, Batch      6, Loss  0.856900, Average Loss  0.867409, Time  0.417931
2021-09-08 23:28:03.475201 : Epoch  3, Batch      7, Loss  0.868270, Average Loss  0.867327, Time  0.392116
2021-09-08 23:28:05.083910 : Epoch  3, Batch      8, Loss  0.867520, Average Loss  0.867230, Time  0.353837
2021-09-08 23:28:06.759690 : Epoch  3, Batch      9, Loss  0.885748, Average Loss  0.867307, Time  0.415385
2021-09-08 23:28:08.370768 : Epoch  3, Batch     10, Loss  0.893171, Average Loss  0.867433, Time  0.332511
2021-09-08 23:28:09.961862 : Epoch  3, Batch     11, Loss  0.882279, Average Loss  0.867565, Time  0.355154
2021-09-08 23:28:11.645816 : Epoch  3, Batch     12, Loss  0.892722, Average Loss  0.867605, Time  0.411155
2021-09-08 23:28:13.270819 : Epoch  3, Batch     13, Loss  0.864443, Average Loss  0.867782, Time  0.353897
2021-09-08 23:28:14.905966 : Epoch  3, Batch     14, Loss  0.864383, Average Loss  0.867758, Time  0.397699
2021-09-08 23:28:16.641061 : Epoch  3, Batch     15, Loss  0.884069, Average Loss  0.867997, Time  0.459524
2021-09-08 23:28:18.260590 : Epoch  3, Batch     16, Loss  0.849309, Average Loss  0.867980, Time  0.354979
2021-09-08 23:28:19.860182 : Epoch  3, Batch     17, Loss  0.871887, Average Loss  0.867936, Time  0.352686
2021-09-08 23:28:21.574058 : Epoch  3, Batch     18, Loss  0.844804, Average Loss  0.867750, Time  0.449685
2021-09-08 23:28:23.359733 : Epoch  3, Batch     19, Loss  0.847339, Average Loss  0.867596, Time  0.460069
2021-09-08 23:28:25.004539 : Epoch  3, Batch     20, Loss  0.865228, Average Loss  0.867695, Time  0.351503
2021-09-08 23:28:26.598131 : Epoch  3, Batch     21, Loss  0.835004, Average Loss  0.867536, Time  0.355316
2021-09-08 23:28:28.272481 : Epoch  3, Batch     22, Loss  0.864989, Average Loss  0.867474, Time  0.416613
2021-09-08 23:28:29.995114 : Epoch  3, Batch     23, Loss  0.868407, Average Loss  0.867553, Time  0.447894
2021-09-08 23:28:31.612419 : Epoch  3, Batch     24, Loss  0.885255, Average Loss  0.867558, Time  0.355572
2021-09-08 23:28:33.226954 : Epoch  3, Batch     25, Loss  0.889673, Average Loss  0.867820, Time  0.353151
2021-09-08 23:28:34.942004 : Epoch  3, Batch     26, Loss  0.876746, Average Loss  0.868007, Time  0.459346
2021-09-08 23:28:36.655783 : Epoch  3, Batch     27, Loss  0.876157, Average Loss  0.868093, Time  0.444178
2021-09-08 23:28:38.296944 : Epoch  3, Batch     28, Loss  0.866876, Average Loss  0.868138, Time  0.355745
2021-09-08 23:28:39.906750 : Epoch  3, Batch     29, Loss  0.890381, Average Loss  0.868175, Time  0.354047
2021-09-08 23:28:41.631944 : Epoch  3, Batch     30, Loss  0.875839, Average Loss  0.868118, Time  0.458642
2021-09-08 23:28:43.342372 : Epoch  3, Batch     31, Loss  0.881914, Average Loss  0.868066, Time  0.441547
2021-09-08 23:28:44.957350 : Epoch  3, Batch     32, Loss  0.873123, Average Loss  0.867982, Time  0.353583
2021-09-08 23:28:46.553258 : Epoch  3, Batch     33, Loss  0.882443, Average Loss  0.868150, Time  0.354009
2021-09-08 23:28:48.277091 : Epoch  3, Batch     34, Loss  0.867094, Average Loss  0.868365, Time  0.461669
2021-09-08 23:28:49.984415 : Epoch  3, Batch     35, Loss  0.887428, Average Loss  0.868437, Time  0.428180
2021-09-08 23:28:51.601287 : Epoch  3, Batch     36, Loss  0.922439, Average Loss  0.868940, Time  0.353182
2021-09-08 23:28:53.200499 : Epoch  3, Batch     37, Loss  0.871410, Average Loss  0.869066, Time  0.353678
2021-09-08 23:28:54.919157 : Epoch  3, Batch     38, Loss  0.863357, Average Loss  0.869112, Time  0.457662
2021-09-08 23:28:56.519443 : Epoch  3, Batch     39, Loss  0.872346, Average Loss  0.869253, Time  0.334013
2021-09-08 23:28:58.119198 : Epoch  3, Batch     40, Loss  0.851195, Average Loss  0.869071, Time  0.355058
2021-09-08 23:28:59.754746 : Epoch  3, Batch     41, Loss  0.873036, Average Loss  0.869155, Time  0.380599
2021-09-08 23:29:01.478897 : Epoch  3, Batch     42, Loss  0.884993, Average Loss  0.869197, Time  0.455354
2021-09-08 23:29:03.097945 : Epoch  3, Batch     43, Loss  0.832621, Average Loss  0.869022, Time  0.358404
2021-09-08 23:29:04.705770 : Epoch  3, Batch     44, Loss  0.845478, Average Loss  0.868781, Time  0.352867
2021-09-08 23:29:06.429956 : Epoch  3, Batch     45, Loss  0.884120, Average Loss  0.868827, Time  0.448720
2021-09-08 23:29:08.152438 : Epoch  3, Batch     46, Loss  0.848155, Average Loss  0.868734, Time  0.448437
2021-09-08 23:29:09.794505 : Epoch  3, Batch     47, Loss  0.876309, Average Loss  0.868832, Time  0.354928
2021-09-08 23:29:11.396674 : Epoch  3, Batch     48, Loss  0.845028, Average Loss  0.868733, Time  0.353501
2021-09-08 23:29:13.103195 : Epoch  3, Batch     49, Loss  0.879714, Average Loss  0.868654, Time  0.449732
2021-09-08 23:29:14.834313 : Epoch  3, Batch     50, Loss  0.868008, Average Loss  0.868712, Time  0.454043
2021-09-08 23:29:16.470442 : Epoch  3, Batch     51, Loss  0.847734, Average Loss  0.868589, Time  0.357979
2021-09-08 23:29:18.115669 : Epoch  3, Batch     52, Loss  0.861636, Average Loss  0.868399, Time  0.356730
2021-09-08 23:29:19.861375 : Epoch  3, Batch     53, Loss  0.858598, Average Loss  0.868430, Time  0.440607
2021-09-08 23:29:21.634488 : Epoch  3, Batch     54, Loss  0.883162, Average Loss  0.868400, Time  0.458051
2021-09-08 23:29:23.270198 : Epoch  3, Batch     55, Loss  0.894933, Average Loss  0.868551, Time  0.355986
2021-09-08 23:29:24.884805 : Epoch  3, Batch     56, Loss  0.879046, Average Loss  0.868622, Time  0.353472
2021-09-08 23:29:26.592098 : Epoch  3, Batch     57, Loss  0.877219, Average Loss  0.868700, Time  0.442345
2021-09-08 23:29:28.311237 : Epoch  3, Batch     58, Loss  0.874454, Average Loss  0.868795, Time  0.449671
2021-09-08 23:29:29.936019 : Epoch  3, Batch     59, Loss  0.872929, Average Loss  0.868928, Time  0.356532
2021-09-08 23:29:31.539414 : Epoch  3, Batch     60, Loss  0.863643, Average Loss  0.868846, Time  0.353014
2021-09-08 23:29:33.255392 : Epoch  3, Batch     61, Loss  0.866539, Average Loss  0.868840, Time  0.455041
2021-09-08 23:29:34.975920 : Epoch  3, Batch     62, Loss  0.874444, Average Loss  0.868958, Time  0.444685
2021-09-08 23:29:36.583967 : Epoch  3, Batch     63, Loss  0.901642, Average Loss  0.868940, Time  0.354857
2021-09-08 23:29:38.227920 : Epoch  3, Batch     64, Loss  0.879026, Average Loss  0.869140, Time  0.355048
2021-09-08 23:29:39.983021 : Epoch  3, Batch     65, Loss  0.892050, Average Loss  0.869245, Time  0.458889
2021-09-08 23:29:41.746343 : Epoch  3, Batch     66, Loss  0.846763, Average Loss  0.869064, Time  0.455324
2021-09-08 23:29:43.381483 : Epoch  3, Batch     67, Loss  0.864194, Average Loss  0.868874, Time  0.357515
2021-09-08 23:29:44.980389 : Epoch  3, Batch     68, Loss  0.886020, Average Loss  0.869022, Time  0.353065
2021-09-08 23:29:46.696278 : Epoch  3, Batch     69, Loss  0.845192, Average Loss  0.868998, Time  0.447420
2021-09-08 23:29:48.414645 : Epoch  3, Batch     70, Loss  0.856436, Average Loss  0.868863, Time  0.447445
2021-09-08 23:29:50.052441 : Epoch  3, Batch     71, Loss  0.854339, Average Loss  0.868592, Time  0.356558
2021-09-08 23:29:51.651421 : Epoch  3, Batch     72, Loss  0.852039, Average Loss  0.868486, Time  0.353096
2021-09-08 23:29:53.355926 : Epoch  3, Batch     73, Loss  0.869217, Average Loss  0.868305, Time  0.446877
2021-09-08 23:29:55.076759 : Epoch  3, Batch     74, Loss  0.902867, Average Loss  0.868448, Time  0.451029
2021-09-08 23:29:56.696088 : Epoch  3, Batch     75, Loss  0.866546, Average Loss  0.868486, Time  0.356647
2021-09-08 23:29:58.295230 : Epoch  3, Batch     76, Loss  0.892435, Average Loss  0.868647, Time  0.352977
2021-09-08 23:29:59.968168 : Epoch  3, Batch     77, Loss  0.882991, Average Loss  0.868549, Time  0.413308
2021-09-08 23:30:01.580315 : Epoch  3, Batch     78, Loss  0.850049, Average Loss  0.868503, Time  0.354530
2021-09-08 23:34:26.315572 : CheckPoint: Validation Loss  0.00062322, Best Loss  0.00058177
2021-09-08 23:34:27.979124 : Epoch  3, Batch     79, Loss  0.854461, Average Loss  0.868517, Time  0.356268
2021-09-08 23:34:29.636753 : Epoch  3, Batch     80, Loss  0.860469, Average Loss  0.868524, Time  0.353690
2021-09-08 23:34:31.351636 : Epoch  3, Batch     81, Loss  0.865533, Average Loss  0.868409, Time  0.423196
2021-09-08 23:34:33.106839 : Epoch  3, Batch     82, Loss  0.822224, Average Loss  0.868159, Time  0.461644
2021-09-08 23:34:34.733362 : Epoch  3, Batch     83, Loss  0.848473, Average Loss  0.868128, Time  0.351022
2021-09-08 23:34:36.371006 : Epoch  3, Batch     84, Loss  0.905892, Average Loss  0.868271, Time  0.353335
2021-09-08 23:34:38.057545 : Epoch  3, Batch     85, Loss  0.862530, Average Loss  0.868223, Time  0.415414
2021-09-08 23:34:39.815410 : Epoch  3, Batch     86, Loss  0.881875, Average Loss  0.868333, Time  0.461154
2021-09-08 23:34:41.466786 : Epoch  3, Batch     87, Loss  0.866081, Average Loss  0.868233, Time  0.354674
2021-09-08 23:34:43.109065 : Epoch  3, Batch     88, Loss  0.842526, Average Loss  0.868133, Time  0.353135
2021-09-08 23:34:44.806504 : Epoch  3, Batch     89, Loss  0.863586, Average Loss  0.868303, Time  0.417825
2021-09-08 23:34:46.562780 : Epoch  3, Batch     90, Loss  0.861401, Average Loss  0.868188, Time  0.462222
2021-09-08 23:34:48.220952 : Epoch  3, Batch     91, Loss  0.829818, Average Loss  0.867877, Time  0.354560
2021-09-08 23:34:49.870163 : Epoch  3, Batch     92, Loss  0.840081, Average Loss  0.867752, Time  0.354274
2021-09-08 23:34:51.560129 : Epoch  3, Batch     93, Loss  0.896953, Average Loss  0.867850, Time  0.407532
2021-09-08 23:34:53.299098 : Epoch  3, Batch     94, Loss  0.865732, Average Loss  0.867959, Time  0.461881
2021-09-08 23:34:54.934891 : Epoch  3, Batch     95, Loss  0.848235, Average Loss  0.867692, Time  0.354040
2021-09-08 23:34:56.562825 : Epoch  3, Batch     96, Loss  0.861403, Average Loss  0.867534, Time  0.351337
2021-09-08 23:34:58.249379 : Epoch  3, Batch     97, Loss  0.874679, Average Loss  0.867518, Time  0.414180
2021-09-08 23:34:59.987141 : Epoch  3, Batch     98, Loss  0.882863, Average Loss  0.867545, Time  0.461846
2021-09-08 23:35:01.619768 : Epoch  3, Batch     99, Loss  0.874943, Average Loss  0.867579, Time  0.354136
2021-09-08 23:35:03.261680 : Epoch  3, Batch    100, Loss  0.880538, Average Loss  0.867863, Time  0.351724
2021-09-08 23:35:04.967701 : Epoch  3, Batch    101, Loss  0.852300, Average Loss  0.867782, Time  0.413410
2021-09-08 23:35:06.701151 : Epoch  3, Batch    102, Loss  0.867848, Average Loss  0.867892, Time  0.459748
2021-09-08 23:35:08.345359 : Epoch  3, Batch    103, Loss  0.887756, Average Loss  0.867883, Time  0.353034
2021-09-08 23:35:09.995342 : Epoch  3, Batch    104, Loss  0.868164, Average Loss  0.867660, Time  0.354337
2021-09-08 23:35:11.703256 : Epoch  3, Batch    105, Loss  0.875090, Average Loss  0.867562, Time  0.415204
2021-09-08 23:35:13.442827 : Epoch  3, Batch    106, Loss  0.859812, Average Loss  0.867497, Time  0.463623
2021-09-08 23:35:15.071680 : Epoch  3, Batch    107, Loss  0.898535, Average Loss  0.867683, Time  0.354115
2021-09-08 23:35:16.691696 : Epoch  3, Batch    108, Loss  0.854978, Average Loss  0.867585, Time  0.353693
2021-09-08 23:35:18.386322 : Epoch  3, Batch    109, Loss  0.882237, Average Loss  0.867833, Time  0.415327
2021-09-08 23:35:20.126940 : Epoch  3, Batch    110, Loss  0.879968, Average Loss  0.867822, Time  0.461024
2021-09-08 23:35:21.757410 : Epoch  3, Batch    111, Loss  0.890508, Average Loss  0.868063, Time  0.352710
2021-09-08 23:35:23.381834 : Epoch  3, Batch    112, Loss  0.871396, Average Loss  0.867928, Time  0.354164
2021-09-08 23:35:25.080551 : Epoch  3, Batch    113, Loss  0.866332, Average Loss  0.867948, Time  0.416544
2021-09-08 23:35:26.819877 : Epoch  3, Batch    114, Loss  0.841300, Average Loss  0.867626, Time  0.460420
2021-09-08 23:35:28.442561 : Epoch  3, Batch    115, Loss  0.887647, Average Loss  0.867673, Time  0.353462
2021-09-08 23:35:30.066332 : Epoch  3, Batch    116, Loss  0.868651, Average Loss  0.867721, Time  0.352539
2021-09-08 23:35:31.755108 : Epoch  3, Batch    117, Loss  0.828843, Average Loss  0.867474, Time  0.417124
2021-09-08 23:35:33.497407 : Epoch  3, Batch    118, Loss  0.849619, Average Loss  0.867321, Time  0.462792
2021-09-08 23:35:35.124995 : Epoch  3, Batch    119, Loss  0.832773, Average Loss  0.867127, Time  0.352560
2021-09-08 23:35:36.762635 : Epoch  3, Batch    120, Loss  0.870482, Average Loss  0.867255, Time  0.351403
2021-09-08 23:35:38.446819 : Epoch  3, Batch    121, Loss  0.877895, Average Loss  0.867385, Time  0.414569
2021-09-08 23:35:40.201933 : Epoch  3, Batch    122, Loss  0.858246, Average Loss  0.867457, Time  0.461495
2021-09-08 23:35:41.848740 : Epoch  3, Batch    123, Loss  0.857624, Average Loss  0.867392, Time  0.353100
2021-09-08 23:35:43.487475 : Epoch  3, Batch    124, Loss  0.864880, Average Loss  0.867367, Time  0.353292
2021-09-08 23:35:45.183640 : Epoch  3, Batch    125, Loss  0.894265, Average Loss  0.867416, Time  0.416811
2021-09-08 23:35:46.920504 : Epoch  3, Batch    126, Loss  0.860897, Average Loss  0.867373, Time  0.457255
2021-09-08 23:35:48.553520 : Epoch  3, Batch    127, Loss  0.892389, Average Loss  0.867505, Time  0.352769
2021-09-08 23:35:50.222638 : Epoch  3, Batch    128, Loss  0.891816, Average Loss  0.867695, Time  0.352442
2021-09-08 23:35:51.919821 : Epoch  3, Batch    129, Loss  0.860507, Average Loss  0.867621, Time  0.421650
2021-09-08 23:35:53.653943 : Epoch  3, Batch    130, Loss  0.860903, Average Loss  0.867669, Time  0.462756
2021-09-08 23:35:55.277935 : Epoch  3, Batch    131, Loss  0.884631, Average Loss  0.867849, Time  0.353282
2021-09-08 23:35:56.919865 : Epoch  3, Batch    132, Loss  0.868360, Average Loss  0.867942, Time  0.354056
2021-09-08 23:35:58.625050 : Epoch  3, Batch    133, Loss  0.895302, Average Loss  0.868033, Time  0.419509
2021-09-08 23:36:00.373477 : Epoch  3, Batch    134, Loss  0.861873, Average Loss  0.867972, Time  0.457861
2021-09-08 23:36:02.016500 : Epoch  3, Batch    135, Loss  0.859088, Average Loss  0.867999, Time  0.354182
2021-09-08 23:36:03.664870 : Epoch  3, Batch    136, Loss  0.885843, Average Loss  0.868063, Time  0.354038
2021-09-08 23:36:05.369923 : Epoch  3, Batch    137, Loss  0.866566, Average Loss  0.868056, Time  0.418166
2021-09-08 23:36:07.111729 : Epoch  3, Batch    138, Loss  0.877418, Average Loss  0.868172, Time  0.462349
2021-09-08 23:36:08.761975 : Epoch  3, Batch    139, Loss  0.862914, Average Loss  0.868045, Time  0.354101
2021-09-08 23:36:10.411732 : Epoch  3, Batch    140, Loss  0.858789, Average Loss  0.867895, Time  0.353386
2021-09-08 23:36:12.118723 : Epoch  3, Batch    141, Loss  0.875178, Average Loss  0.868002, Time  0.413086
2021-09-08 23:36:13.879412 : Epoch  3, Batch    142, Loss  0.862265, Average Loss  0.867987, Time  0.454597
2021-09-08 23:36:15.504775 : Epoch  3, Batch    143, Loss  0.864393, Average Loss  0.867983, Time  0.354464
2021-09-08 23:36:17.131368 : Epoch  3, Batch    144, Loss  0.875722, Average Loss  0.867975, Time  0.354017
2021-09-08 23:36:18.827056 : Epoch  3, Batch    145, Loss  0.831411, Average Loss  0.867853, Time  0.422306
2021-09-08 23:36:20.594428 : Epoch  3, Batch    146, Loss  0.838718, Average Loss  0.867675, Time  0.462347
2021-09-08 23:36:22.241405 : Epoch  3, Batch    147, Loss  0.857230, Average Loss  0.867649, Time  0.352404
2021-09-08 23:36:23.882939 : Epoch  3, Batch    148, Loss  0.836940, Average Loss  0.867683, Time  0.353225
2021-09-08 23:36:25.589158 : Epoch  3, Batch    149, Loss  0.848633, Average Loss  0.867508, Time  0.412489
2021-09-08 23:36:27.345011 : Epoch  3, Batch    150, Loss  0.869698, Average Loss  0.867547, Time  0.459495
2021-09-08 23:36:28.975197 : Epoch  3, Batch    151, Loss  0.890271, Average Loss  0.867781, Time  0.353899
2021-09-08 23:36:30.610470 : Epoch  3, Batch    152, Loss  0.842865, Average Loss  0.867639, Time  0.352777
2021-09-08 23:36:32.318426 : Epoch  3, Batch    153, Loss  0.855762, Average Loss  0.867482, Time  0.415212
2021-09-08 23:36:34.059461 : Epoch  3, Batch    154, Loss  0.882380, Average Loss  0.867703, Time  0.464087
2021-09-08 23:36:35.684313 : Epoch  3, Batch    155, Loss  0.844389, Average Loss  0.867624, Time  0.354344
2021-09-08 23:36:37.312646 : Epoch  3, Batch    156, Loss  0.850590, Average Loss  0.867525, Time  0.354016
2021-09-08 23:36:39.001760 : Epoch  3, Batch    157, Loss  0.876302, Average Loss  0.867630, Time  0.411980
2021-09-08 23:36:40.741850 : Epoch  3, Batch    158, Loss  0.863115, Average Loss  0.867694, Time  0.460121
2021-09-08 23:36:42.370847 : Epoch  3, Batch    159, Loss  0.862657, Average Loss  0.867610, Time  0.353403
2021-09-08 23:36:43.993480 : Epoch  3, Batch    160, Loss  0.880456, Average Loss  0.867828, Time  0.352055
2021-09-08 23:36:45.677846 : Epoch  3, Batch    161, Loss  0.849082, Average Loss  0.867501, Time  0.411064
2021-09-08 23:36:47.423424 : Epoch  3, Batch    162, Loss  0.870916, Average Loss  0.867595, Time  0.457510
2021-09-08 23:36:49.064304 : Epoch  3, Batch    163, Loss  0.883935, Average Loss  0.867701, Time  0.353687
2021-09-08 23:36:50.691220 : Epoch  3, Batch    164, Loss  0.857796, Average Loss  0.867583, Time  0.354631
2021-09-08 23:36:52.378213 : Epoch  3, Batch    165, Loss  0.849610, Average Loss  0.867471, Time  0.421503
2021-09-08 23:36:54.108156 : Epoch  3, Batch    166, Loss  0.860912, Average Loss  0.867421, Time  0.458484
2021-09-08 23:36:55.740410 : Epoch  3, Batch    167, Loss  0.859276, Average Loss  0.867543, Time  0.353620
2021-09-08 23:36:57.386102 : Epoch  3, Batch    168, Loss  0.853203, Average Loss  0.867378, Time  0.355195
2021-09-08 23:36:59.085979 : Epoch  3, Batch    169, Loss  0.874074, Average Loss  0.867352, Time  0.412776
2021-09-08 23:37:00.840561 : Epoch  3, Batch    170, Loss  0.869761, Average Loss  0.867385, Time  0.462503
2021-09-08 23:37:02.469079 : Epoch  3, Batch    171, Loss  0.848597, Average Loss  0.867167, Time  0.354029
2021-09-08 23:37:04.107332 : Epoch  3, Batch    172, Loss  0.888197, Average Loss  0.867245, Time  0.354503
2021-09-08 23:37:05.814693 : Epoch  3, Batch    173, Loss  0.844927, Average Loss  0.867056, Time  0.407263
2021-09-08 23:37:07.570385 : Epoch  3, Batch    174, Loss  0.884624, Average Loss  0.867199, Time  0.461261
2021-09-08 23:37:09.221721 : Epoch  3, Batch    175, Loss  0.895106, Average Loss  0.867230, Time  0.354283
2021-09-08 23:37:10.866670 : Epoch  3, Batch    176, Loss  0.873948, Average Loss  0.867348, Time  0.354064
2021-09-08 23:37:12.566487 : Epoch  3, Batch    177, Loss  0.894807, Average Loss  0.867354, Time  0.412954
2021-09-08 23:37:14.306663 : Epoch  3, Batch    178, Loss  0.854536, Average Loss  0.867240, Time  0.461723
2021-09-08 23:41:38.799859 : CheckPoint: Validation Loss  0.00060248, Best Loss  0.00058177
2021-09-08 23:41:40.468814 : Epoch  3, Batch    179, Loss  0.859163, Average Loss  0.867121, Time  0.355067
2021-09-08 23:41:42.147157 : Epoch  3, Batch    180, Loss  0.847388, Average Loss  0.866895, Time  0.355053
2021-09-08 23:41:43.920253 : Epoch  3, Batch    181, Loss  0.858705, Average Loss  0.866863, Time  0.459393
2021-09-08 23:41:45.622746 : Epoch  3, Batch    182, Loss  0.864036, Average Loss  0.866900, Time  0.356550
2021-09-08 23:41:47.295678 : Epoch  3, Batch    183, Loss  0.857756, Average Loss  0.866909, Time  0.356162
2021-09-08 23:41:48.983796 : Epoch  3, Batch    184, Loss  0.884931, Average Loss  0.867033, Time  0.403985
2021-09-08 23:41:50.745867 : Epoch  3, Batch    185, Loss  0.857355, Average Loss  0.866964, Time  0.461561
2021-09-08 23:41:52.357351 : Epoch  3, Batch    186, Loss  0.849482, Average Loss  0.866989, Time  0.353534
2021-09-08 23:41:54.001914 : Epoch  3, Batch    187, Loss  0.861195, Average Loss  0.866967, Time  0.352592
2021-09-08 23:41:55.702813 : Epoch  3, Batch    188, Loss  0.863168, Average Loss  0.866953, Time  0.416714
2021-09-08 23:41:57.406005 : Epoch  3, Batch    189, Loss  0.863765, Average Loss  0.866842, Time  0.456756
2021-09-08 23:41:59.046233 : Epoch  3, Batch    190, Loss  0.851435, Average Loss  0.866814, Time  0.352896
2021-09-08 23:42:00.667673 : Epoch  3, Batch    191, Loss  0.876409, Average Loss  0.867036, Time  0.353714
2021-09-08 23:42:02.346869 : Epoch  3, Batch    192, Loss  0.898824, Average Loss  0.867133, Time  0.422250
2021-09-08 23:42:04.050486 : Epoch  3, Batch    193, Loss  0.846007, Average Loss  0.867080, Time  0.465831
2021-09-08 23:42:05.656657 : Epoch  3, Batch    194, Loss  0.851173, Average Loss  0.867037, Time  0.352717
2021-09-08 23:42:07.315411 : Epoch  3, Batch    195, Loss  0.890718, Average Loss  0.867170, Time  0.354937
2021-09-08 23:42:08.996481 : Epoch  3, Batch    196, Loss  0.855067, Average Loss  0.867248, Time  0.406894
2021-09-08 23:42:10.702792 : Epoch  3, Batch    197, Loss  0.867718, Average Loss  0.867303, Time  0.462250
2021-09-08 23:42:12.300006 : Epoch  3, Batch    198, Loss  0.857432, Average Loss  0.867287, Time  0.352633
2021-09-08 23:42:13.889856 : Epoch  3, Batch    199, Loss  0.815381, Average Loss  0.867002, Time  0.350811
2021-09-08 23:42:15.543941 : Epoch  3, Batch    200, Loss  0.880347, Average Loss  0.867194, Time  0.417605
2021-09-08 23:42:17.250362 : Epoch  3, Batch    201, Loss  0.872626, Average Loss  0.867339, Time  0.463614
2021-09-08 23:42:18.842038 : Epoch  3, Batch    202, Loss  0.863847, Average Loss  0.867382, Time  0.351744
2021-09-08 23:42:20.473801 : Epoch  3, Batch    203, Loss  0.855150, Average Loss  0.867232, Time  0.353960
2021-09-08 23:42:22.171971 : Epoch  3, Batch    204, Loss  0.862136, Average Loss  0.867244, Time  0.417255
2021-09-08 23:42:23.912971 : Epoch  3, Batch    205, Loss  0.870028, Average Loss  0.867210, Time  0.461620
2021-09-08 23:42:25.547438 : Epoch  3, Batch    206, Loss  0.881443, Average Loss  0.867333, Time  0.353566
2021-09-08 23:42:27.196974 : Epoch  3, Batch    207, Loss  0.901781, Average Loss  0.867500, Time  0.353955
2021-09-08 23:42:28.910132 : Epoch  3, Batch    208, Loss  0.916018, Average Loss  0.867743, Time  0.410270
2021-09-08 23:42:30.647471 : Epoch  3, Batch    209, Loss  0.882907, Average Loss  0.867729, Time  0.462445
2021-09-08 23:42:32.282887 : Epoch  3, Batch    210, Loss  0.843616, Average Loss  0.867481, Time  0.352885
2021-09-08 23:42:33.910809 : Epoch  3, Batch    211, Loss  0.879022, Average Loss  0.867465, Time  0.351841
2021-09-08 23:42:35.602936 : Epoch  3, Batch    212, Loss  0.883445, Average Loss  0.867418, Time  0.415410
2021-09-08 23:42:37.343755 : Epoch  3, Batch    213, Loss  0.871827, Average Loss  0.867455, Time  0.461066
2021-09-08 23:42:38.972157 : Epoch  3, Batch    214, Loss  0.858616, Average Loss  0.867426, Time  0.351250
2021-09-08 23:42:40.610345 : Epoch  3, Batch    215, Loss  0.873007, Average Loss  0.867371, Time  0.352293
2021-09-08 23:42:42.315809 : Epoch  3, Batch    216, Loss  0.861998, Average Loss  0.867434, Time  0.412152
2021-09-08 23:42:44.077791 : Epoch  3, Batch    217, Loss  0.872519, Average Loss  0.867438, Time  0.462163
2021-09-08 23:42:45.708327 : Epoch  3, Batch    218, Loss  0.861790, Average Loss  0.867523, Time  0.352954
2021-09-08 23:42:47.345294 : Epoch  3, Batch    219, Loss  0.857653, Average Loss  0.867574, Time  0.353613
2021-09-08 23:42:49.056074 : Epoch  3, Batch    220, Loss  0.884719, Average Loss  0.867672, Time  0.410924
2021-09-08 23:42:50.802747 : Epoch  3, Batch    221, Loss  0.874184, Average Loss  0.867867, Time  0.460787
2021-09-08 23:42:52.440415 : Epoch  3, Batch    222, Loss  0.880329, Average Loss  0.867944, Time  0.353466
2021-09-08 23:42:54.072110 : Epoch  3, Batch    223, Loss  0.877949, Average Loss  0.867992, Time  0.353940
2021-09-08 23:42:55.754556 : Epoch  3, Batch    224, Loss  0.872949, Average Loss  0.867930, Time  0.407796
2021-09-08 23:42:57.498698 : Epoch  3, Batch    225, Loss  0.877655, Average Loss  0.867870, Time  0.460967
2021-09-08 23:42:59.130095 : Epoch  3, Batch    226, Loss  0.882792, Average Loss  0.867900, Time  0.353300
2021-09-08 23:43:00.768258 : Epoch  3, Batch    227, Loss  0.885002, Average Loss  0.867945, Time  0.354162
2021-09-08 23:43:02.465192 : Epoch  3, Batch    228, Loss  0.874232, Average Loss  0.867981, Time  0.411739
2021-09-08 23:43:04.199057 : Epoch  3, Batch    229, Loss  0.870793, Average Loss  0.867884, Time  0.457880
2021-09-08 23:43:05.849749 : Epoch  3, Batch    230, Loss  0.856055, Average Loss  0.867785, Time  0.352515
2021-09-08 23:43:07.491376 : Epoch  3, Batch    231, Loss  0.867286, Average Loss  0.867711, Time  0.354323
2021-09-08 23:43:09.191779 : Epoch  3, Batch    232, Loss  0.873538, Average Loss  0.867714, Time  0.417999
2021-09-08 23:43:10.942323 : Epoch  3, Batch    233, Loss  0.881688, Average Loss  0.867710, Time  0.458994
2021-09-08 23:43:12.572538 : Epoch  3, Batch    234, Loss  0.847860, Average Loss  0.867614, Time  0.352607
2021-09-08 23:43:14.202792 : Epoch  3, Batch    235, Loss  0.861934, Average Loss  0.867486, Time  0.353753
2021-09-08 23:43:15.899876 : Epoch  3, Batch    236, Loss  0.843965, Average Loss  0.867094, Time  0.418251
2021-09-08 23:43:17.663785 : Epoch  3, Batch    237, Loss  0.876690, Average Loss  0.867120, Time  0.461491
2021-09-08 23:43:19.312521 : Epoch  3, Batch    238, Loss  0.873522, Average Loss  0.867171, Time  0.351620
2021-09-08 23:43:20.966403 : Epoch  3, Batch    239, Loss  0.880939, Average Loss  0.867214, Time  0.353680
2021-09-08 23:43:22.657155 : Epoch  3, Batch    240, Loss  0.853588, Average Loss  0.867226, Time  0.412226
2021-09-08 23:43:24.403936 : Epoch  3, Batch    241, Loss  0.868709, Average Loss  0.867204, Time  0.462003
2021-09-08 23:43:26.030532 : Epoch  3, Batch    242, Loss  0.857551, Average Loss  0.867067, Time  0.352279
2021-09-08 23:43:27.658176 : Epoch  3, Batch    243, Loss  0.869580, Average Loss  0.867252, Time  0.352260
2021-09-08 23:43:29.349961 : Epoch  3, Batch    244, Loss  0.899791, Average Loss  0.867523, Time  0.413666
2021-09-08 23:43:31.087783 : Epoch  3, Batch    245, Loss  0.859221, Average Loss  0.867399, Time  0.462189
2021-09-08 23:43:32.721920 : Epoch  3, Batch    246, Loss  0.868697, Average Loss  0.867502, Time  0.352123
2021-09-08 23:43:34.353645 : Epoch  3, Batch    247, Loss  0.900286, Average Loss  0.867622, Time  0.353053
2021-09-08 23:43:36.035965 : Epoch  3, Batch    248, Loss  0.864645, Average Loss  0.867720, Time  0.410040
2021-09-08 23:43:37.790031 : Epoch  3, Batch    249, Loss  0.857721, Average Loss  0.867610, Time  0.461317
2021-09-08 23:43:39.424176 : Epoch  3, Batch    250, Loss  0.865607, Average Loss  0.867598, Time  0.352038
2021-09-08 23:43:41.051589 : Epoch  3, Batch    251, Loss  0.865701, Average Loss  0.867687, Time  0.352360
2021-09-08 23:43:42.745523 : Epoch  3, Batch    252, Loss  0.869440, Average Loss  0.867726, Time  0.417737
2021-09-08 23:43:44.487396 : Epoch  3, Batch    253, Loss  0.872221, Average Loss  0.867795, Time  0.464308
2021-09-08 23:43:46.113128 : Epoch  3, Batch    254, Loss  0.883985, Average Loss  0.867799, Time  0.353710
2021-09-08 23:43:47.754024 : Epoch  3, Batch    255, Loss  0.866396, Average Loss  0.867656, Time  0.353810
2021-09-08 23:43:49.462399 : Epoch  3, Batch    256, Loss  0.835034, Average Loss  0.867436, Time  0.411781
2021-09-08 23:43:51.203983 : Epoch  3, Batch    257, Loss  0.868112, Average Loss  0.867390, Time  0.463289
2021-09-08 23:43:52.833080 : Epoch  3, Batch    258, Loss  0.876648, Average Loss  0.867401, Time  0.353147
2021-09-08 23:43:54.458731 : Epoch  3, Batch    259, Loss  0.871911, Average Loss  0.867396, Time  0.352533
2021-09-08 23:43:56.147094 : Epoch  3, Batch    260, Loss  0.871590, Average Loss  0.867436, Time  0.410141
2021-09-08 23:43:57.893970 : Epoch  3, Batch    261, Loss  0.891225, Average Loss  0.867559, Time  0.460683
2021-09-08 23:43:59.523112 : Epoch  3, Batch    262, Loss  0.868792, Average Loss  0.867531, Time  0.353010
2021-09-08 23:44:01.151791 : Epoch  3, Batch    263, Loss  0.888666, Average Loss  0.867466, Time  0.353195
2021-09-08 23:44:02.863742 : Epoch  3, Batch    264, Loss  0.891262, Average Loss  0.867528, Time  0.413438
2021-09-08 23:44:04.608787 : Epoch  3, Batch    265, Loss  0.857784, Average Loss  0.867356, Time  0.460239
2021-09-08 23:44:06.238552 : Epoch  3, Batch    266, Loss  0.866893, Average Loss  0.867457, Time  0.353910
2021-09-08 23:44:07.868099 : Epoch  3, Batch    267, Loss  0.873491, Average Loss  0.867503, Time  0.353500
2021-09-08 23:44:09.564911 : Epoch  3, Batch    268, Loss  0.879445, Average Loss  0.867470, Time  0.421172
2021-09-08 23:44:11.319151 : Epoch  3, Batch    269, Loss  0.829361, Average Loss  0.867391, Time  0.462197
2021-09-08 23:44:12.951751 : Epoch  3, Batch    270, Loss  0.883072, Average Loss  0.867524, Time  0.354835
2021-09-08 23:44:14.591410 : Epoch  3, Batch    271, Loss  0.857330, Average Loss  0.867539, Time  0.353359
2021-09-08 23:44:16.301423 : Epoch  3, Batch    272, Loss  0.877673, Average Loss  0.867668, Time  0.414171
2021-09-08 23:44:18.035794 : Epoch  3, Batch    273, Loss  0.855707, Average Loss  0.867600, Time  0.461215
2021-09-08 23:44:19.664380 : Epoch  3, Batch    274, Loss  0.857675, Average Loss  0.867374, Time  0.351276
2021-09-08 23:44:21.296109 : Epoch  3, Batch    275, Loss  0.885259, Average Loss  0.867468, Time  0.354235
2021-09-08 23:44:22.997495 : Epoch  3, Batch    276, Loss  0.850050, Average Loss  0.867256, Time  0.415823
2021-09-08 23:44:24.731913 : Epoch  3, Batch    277, Loss  0.843640, Average Loss  0.867059, Time  0.461000
2021-09-08 23:44:26.361078 : Epoch  3, Batch    278, Loss  0.852853, Average Loss  0.867073, Time  0.352955
2021-09-08 23:48:53.107475 : CheckPoint: Validation Loss  0.00059445, Best Loss  0.00058177
2021-09-08 23:48:54.775224 : Epoch  3, Batch    279, Loss  0.841225, Average Loss  0.867007, Time  0.388287
2021-09-08 23:48:56.517056 : Epoch  3, Batch    280, Loss  0.900412, Average Loss  0.867207, Time  0.461874
2021-09-08 23:48:58.170267 : Epoch  3, Batch    281, Loss  0.904799, Average Loss  0.867403, Time  0.353826
2021-09-08 23:48:59.816111 : Epoch  3, Batch    282, Loss  0.826184, Average Loss  0.867423, Time  0.352830
2021-09-08 23:49:01.526225 : Epoch  3, Batch    283, Loss  0.874452, Average Loss  0.867553, Time  0.416316
2021-09-08 23:49:03.266653 : Epoch  3, Batch    284, Loss  0.874519, Average Loss  0.867396, Time  0.462669
2021-09-08 23:49:04.900730 : Epoch  3, Batch    285, Loss  0.875054, Average Loss  0.867458, Time  0.353671
2021-09-08 23:49:06.542806 : Epoch  3, Batch    286, Loss  0.884382, Average Loss  0.867471, Time  0.353985
2021-09-08 23:49:08.248721 : Epoch  3, Batch    287, Loss  0.871682, Average Loss  0.867499, Time  0.416394
2021-09-08 23:49:09.997657 : Epoch  3, Batch    288, Loss  0.844983, Average Loss  0.867511, Time  0.456358
2021-09-08 23:49:11.646883 : Epoch  3, Batch    289, Loss  0.846628, Average Loss  0.867426, Time  0.354326
2021-09-08 23:49:13.268120 : Epoch  3, Batch    290, Loss  0.892703, Average Loss  0.867583, Time  0.353430
2021-09-08 23:49:14.961112 : Epoch  3, Batch    291, Loss  0.884718, Average Loss  0.867857, Time  0.420191
2021-09-08 23:49:16.697811 : Epoch  3, Batch    292, Loss  0.914459, Average Loss  0.868229, Time  0.460442
2021-09-08 23:49:18.329162 : Epoch  3, Batch    293, Loss  0.853368, Average Loss  0.868011, Time  0.352509
2021-09-08 23:49:19.956078 : Epoch  3, Batch    294, Loss  0.894993, Average Loss  0.868158, Time  0.353713
2021-09-08 23:49:21.659921 : Epoch  3, Batch    295, Loss  0.860283, Average Loss  0.868218, Time  0.418036
2021-09-08 23:49:23.417590 : Epoch  3, Batch    296, Loss  0.877602, Average Loss  0.868299, Time  0.462783
2021-09-08 23:49:25.047493 : Epoch  3, Batch    297, Loss  0.865166, Average Loss  0.868251, Time  0.353305
2021-09-08 23:49:26.693072 : Epoch  3, Batch    298, Loss  0.864605, Average Loss  0.868160, Time  0.353204
2021-09-08 23:49:28.400998 : Epoch  3, Batch    299, Loss  0.866771, Average Loss  0.868119, Time  0.410759
2021-09-08 23:49:30.151031 : Epoch  3, Batch    300, Loss  0.849024, Average Loss  0.867962, Time  0.460326
2021-09-08 23:49:31.797405 : Epoch  3, Batch    301, Loss  0.857947, Average Loss  0.867990, Time  0.354124
2021-09-08 23:49:33.434793 : Epoch  3, Batch    302, Loss  0.876549, Average Loss  0.868033, Time  0.353223
2021-09-08 23:49:35.120424 : Epoch  3, Batch    303, Loss  0.865347, Average Loss  0.867921, Time  0.417478
2021-09-08 23:49:36.863784 : Epoch  3, Batch    304, Loss  0.891335, Average Loss  0.868037, Time  0.461282
2021-09-08 23:49:38.489431 : Epoch  3, Batch    305, Loss  0.852308, Average Loss  0.867923, Time  0.355479
2021-09-08 23:49:40.119753 : Epoch  3, Batch    306, Loss  0.878627, Average Loss  0.868017, Time  0.353312
2021-09-08 23:49:41.811903 : Epoch  3, Batch    307, Loss  0.844064, Average Loss  0.867745, Time  0.414373
2021-09-08 23:49:43.552111 : Epoch  3, Batch    308, Loss  0.867537, Average Loss  0.867808, Time  0.458816
2021-09-08 23:49:45.197062 : Epoch  3, Batch    309, Loss  0.863223, Average Loss  0.867713, Time  0.353441
2021-09-08 23:49:46.845487 : Epoch  3, Batch    310, Loss  0.881315, Average Loss  0.867719, Time  0.352822
2021-09-08 23:49:48.552226 : Epoch  3, Batch    311, Loss  0.866605, Average Loss  0.867600, Time  0.418300
2021-09-08 23:49:50.304783 : Epoch  3, Batch    312, Loss  0.882758, Average Loss  0.867657, Time  0.461657
2021-09-08 23:49:51.934371 : Epoch  3, Batch    313, Loss  0.884039, Average Loss  0.867745, Time  0.352420
2021-09-08 23:49:53.566347 : Epoch  3, Batch    314, Loss  0.877596, Average Loss  0.867927, Time  0.353510
2021-09-08 23:49:55.250055 : Epoch  3, Batch    315, Loss  0.893213, Average Loss  0.867955, Time  0.410750
2021-09-08 23:49:56.993961 : Epoch  3, Batch    316, Loss  0.869265, Average Loss  0.867958, Time  0.461845
2021-09-08 23:49:58.624291 : Epoch  3, Batch    317, Loss  0.850065, Average Loss  0.868064, Time  0.352649
2021-09-08 23:50:00.253878 : Epoch  3, Batch    318, Loss  0.878120, Average Loss  0.868206, Time  0.352304
2021-09-08 23:50:01.964916 : Epoch  3, Batch    319, Loss  0.854246, Average Loss  0.868314, Time  0.411588
2021-09-08 23:50:03.705406 : Epoch  3, Batch    320, Loss  0.898636, Average Loss  0.868454, Time  0.460770
2021-09-08 23:50:05.350480 : Epoch  3, Batch    321, Loss  0.864053, Average Loss  0.868385, Time  0.356115
2021-09-08 23:50:07.002238 : Epoch  3, Batch    322, Loss  0.854807, Average Loss  0.868368, Time  0.353650
2021-09-08 23:50:08.708950 : Epoch  3, Batch    323, Loss  0.875530, Average Loss  0.868457, Time  0.412180
2021-09-08 23:50:10.448685 : Epoch  3, Batch    324, Loss  0.874749, Average Loss  0.868507, Time  0.461244
2021-09-08 23:50:12.081992 : Epoch  3, Batch    325, Loss  0.826591, Average Loss  0.868168, Time  0.352396
2021-09-08 23:50:13.712026 : Epoch  3, Batch    326, Loss  0.875742, Average Loss  0.868243, Time  0.353087
2021-09-08 23:50:15.416067 : Epoch  3, Batch    327, Loss  0.857895, Average Loss  0.868070, Time  0.409760
2021-09-08 23:50:17.210237 : Epoch  3, Batch    328, Loss  0.861470, Average Loss  0.867918, Time  0.461455
2021-09-08 23:50:18.839830 : Epoch  3, Batch    329, Loss  0.880167, Average Loss  0.868017, Time  0.352858
2021-09-08 23:50:20.482069 : Epoch  3, Batch    330, Loss  0.841928, Average Loss  0.867922, Time  0.354567
2021-09-08 23:50:22.180882 : Epoch  3, Batch    331, Loss  0.855577, Average Loss  0.867777, Time  0.413176
2021-09-08 23:50:23.909244 : Epoch  3, Batch    332, Loss  0.880904, Average Loss  0.867839, Time  0.458078
2021-09-08 23:50:25.535100 : Epoch  3, Batch    333, Loss  0.874819, Average Loss  0.867737, Time  0.353300
2021-09-08 23:50:27.179681 : Epoch  3, Batch    334, Loss  0.879191, Average Loss  0.867824, Time  0.353369
2021-09-08 23:50:28.866976 : Epoch  3, Batch    335, Loss  0.851085, Average Loss  0.867784, Time  0.422352
2021-09-08 23:50:30.598460 : Epoch  3, Batch    336, Loss  0.886776, Average Loss  0.867788, Time  0.460701
2021-09-08 23:50:32.219832 : Epoch  3, Batch    337, Loss  0.867239, Average Loss  0.867792, Time  0.352620
2021-09-08 23:50:33.845790 : Epoch  3, Batch    338, Loss  0.873669, Average Loss  0.867773, Time  0.353072
2021-09-08 23:50:35.530549 : Epoch  3, Batch    339, Loss  0.901298, Average Loss  0.867965, Time  0.418829
2021-09-08 23:50:37.259386 : Epoch  3, Batch    340, Loss  0.878451, Average Loss  0.868063, Time  0.460273
2021-09-08 23:50:38.876772 : Epoch  3, Batch    341, Loss  0.855579, Average Loss  0.867965, Time  0.353506
2021-09-08 23:50:40.501762 : Epoch  3, Batch    342, Loss  0.839888, Average Loss  0.867853, Time  0.354600
2021-09-08 23:50:42.190392 : Epoch  3, Batch    343, Loss  0.856099, Average Loss  0.867812, Time  0.422603
2021-09-08 23:50:43.916147 : Epoch  3, Batch    344, Loss  0.868017, Average Loss  0.867773, Time  0.458683
2021-09-08 23:50:45.553824 : Epoch  3, Batch    345, Loss  0.871396, Average Loss  0.867973, Time  0.355238
2021-09-08 23:50:47.191833 : Epoch  3, Batch    346, Loss  0.877396, Average Loss  0.868166, Time  0.354245
2021-09-08 23:50:48.888327 : Epoch  3, Batch    347, Loss  0.877305, Average Loss  0.868267, Time  0.420928
2021-09-08 23:50:50.618996 : Epoch  3, Batch    348, Loss  0.837283, Average Loss  0.868269, Time  0.457622
2021-09-08 23:50:52.269853 : Epoch  3, Batch    349, Loss  0.876077, Average Loss  0.868406, Time  0.353688
2021-09-08 23:50:53.896343 : Epoch  3, Batch    350, Loss  0.870231, Average Loss  0.868408, Time  0.353466
2021-09-08 23:50:55.585491 : Epoch  3, Batch    351, Loss  0.867765, Average Loss  0.868296, Time  0.422935
2021-09-08 23:50:57.314044 : Epoch  3, Batch    352, Loss  0.863499, Average Loss  0.868399, Time  0.459044
2021-09-08 23:50:58.944574 : Epoch  3, Batch    353, Loss  0.858354, Average Loss  0.868412, Time  0.352234
2021-09-08 23:51:00.577741 : Epoch  3, Batch    354, Loss  0.887301, Average Loss  0.868437, Time  0.353664
2021-09-08 23:51:02.263413 : Epoch  3, Batch    355, Loss  0.851420, Average Loss  0.868472, Time  0.422515
2021-09-08 23:51:04.006141 : Epoch  3, Batch    356, Loss  0.856239, Average Loss  0.868500, Time  0.461004
2021-09-08 23:51:05.623806 : Epoch  3, Batch    357, Loss  0.846910, Average Loss  0.868353, Time  0.353303
2021-09-08 23:51:07.241825 : Epoch  3, Batch    358, Loss  0.887064, Average Loss  0.868473, Time  0.351489
2021-09-08 23:51:08.928005 : Epoch  3, Batch    359, Loss  0.855494, Average Loss  0.868437, Time  0.417740
2021-09-08 23:51:10.660074 : Epoch  3, Batch    360, Loss  0.905977, Average Loss  0.868565, Time  0.463614
2021-09-08 23:51:12.284126 : Epoch  3, Batch    361, Loss  0.886928, Average Loss  0.868754, Time  0.353791
2021-09-08 23:51:13.900566 : Epoch  3, Batch    362, Loss  0.880587, Average Loss  0.868802, Time  0.353256
2021-09-08 23:51:15.580749 : Epoch  3, Batch    363, Loss  0.862401, Average Loss  0.868695, Time  0.416483
2021-09-08 23:51:17.322430 : Epoch  3, Batch    364, Loss  0.849561, Average Loss  0.868653, Time  0.461534
2021-09-08 23:51:18.954481 : Epoch  3, Batch    365, Loss  0.902223, Average Loss  0.868916, Time  0.354433
2021-09-08 23:51:20.596046 : Epoch  3, Batch    366, Loss  0.841620, Average Loss  0.868820, Time  0.354260
2021-09-08 23:51:22.303910 : Epoch  3, Batch    367, Loss  0.873065, Average Loss  0.868889, Time  0.411173
2021-09-08 23:51:24.052348 : Epoch  3, Batch    368, Loss  0.876749, Average Loss  0.869007, Time  0.461345
2021-09-08 23:51:25.676852 : Epoch  3, Batch    369, Loss  0.867406, Average Loss  0.868973, Time  0.353151
2021-09-08 23:51:27.304398 : Epoch  3, Batch    370, Loss  0.907471, Average Loss  0.869162, Time  0.353483
2021-09-08 23:51:28.989759 : Epoch  3, Batch    371, Loss  0.862977, Average Loss  0.869234, Time  0.414314
2021-09-08 23:51:30.737739 : Epoch  3, Batch    372, Loss  0.826773, Average Loss  0.868927, Time  0.461677
2021-09-08 23:51:32.369293 : Epoch  3, Batch    373, Loss  0.885038, Average Loss  0.869127, Time  0.354606
2021-09-08 23:51:34.004286 : Epoch  3, Batch    374, Loss  0.870874, Average Loss  0.869058, Time  0.354338
2021-09-08 23:51:35.684489 : Epoch  3, Batch    375, Loss  0.865969, Average Loss  0.868913, Time  0.407839
2021-09-08 23:51:37.439954 : Epoch  3, Batch    376, Loss  0.886008, Average Loss  0.868973, Time  0.461585
2021-09-08 23:51:39.086178 : Epoch  3, Batch    377, Loss  0.850947, Average Loss  0.868754, Time  0.353296
2021-09-08 23:51:40.724834 : Epoch  3, Batch    378, Loss  0.866707, Average Loss  0.868815, Time  0.353663
2021-09-08 23:56:33.411797 : CheckPoint: Validation Loss  0.00059792, Best Loss  0.00058177
2021-09-08 23:56:35.289790 : Epoch  3, Batch    379, Loss  0.849200, Average Loss  0.868765, Time  0.401481
2021-09-08 23:56:37.185829 : Epoch  3, Batch    380, Loss  0.864238, Average Loss  0.868849, Time  0.398236
2021-09-08 23:56:39.056268 : Epoch  3, Batch    381, Loss  0.888318, Average Loss  0.868997, Time  0.450423
2021-09-08 23:56:41.065926 : Epoch  3, Batch    382, Loss  0.842899, Average Loss  0.868891, Time  0.461994
2021-09-08 23:56:42.993004 : Epoch  3, Batch    383, Loss  0.868936, Average Loss  0.868947, Time  0.455851
2021-09-08 23:56:44.787783 : Epoch  3, Batch    384, Loss  0.866966, Average Loss  0.868857, Time  0.358438
2021-09-08 23:56:46.583392 : Epoch  3, Batch    385, Loss  0.848735, Average Loss  0.868814, Time  0.356735
2021-09-08 23:56:48.413828 : Epoch  3, Batch    386, Loss  0.893883, Average Loss  0.869036, Time  0.385641
2021-09-08 23:56:50.299994 : Epoch  3, Batch    387, Loss  0.884162, Average Loss  0.869151, Time  0.456550
2021-09-08 23:56:52.270111 : Epoch  3, Batch    388, Loss  0.907563, Average Loss  0.869373, Time  0.481619
2021-09-08 23:56:54.152054 : Epoch  3, Batch    389, Loss  0.838997, Average Loss  0.869249, Time  0.400750
2021-09-08 23:56:56.023329 : Epoch  3, Batch    390, Loss  0.873468, Average Loss  0.869360, Time  0.400313
2021-09-08 23:56:57.916781 : Epoch  3, Batch    391, Loss  0.859650, Average Loss  0.869276, Time  0.397073
2021-09-08 23:56:59.885835 : Epoch  3, Batch    392, Loss  0.877505, Average Loss  0.869169, Time  0.486007
2021-09-08 23:57:01.842781 : Epoch  3, Batch    393, Loss  0.877466, Average Loss  0.869326, Time  0.484267
2021-09-08 23:57:03.714782 : Epoch  3, Batch    394, Loss  0.872234, Average Loss  0.869432, Time  0.402855
2021-09-08 23:57:05.586787 : Epoch  3, Batch    395, Loss  0.873484, Average Loss  0.869346, Time  0.400131
2021-09-08 23:57:07.458781 : Epoch  3, Batch    396, Loss  0.878316, Average Loss  0.869462, Time  0.398939
2021-09-08 23:57:09.416369 : Epoch  3, Batch    397, Loss  0.877244, Average Loss  0.869509, Time  0.490030
2021-09-08 23:57:11.313287 : Epoch  3, Batch    398, Loss  0.855747, Average Loss  0.869501, Time  0.454099
2021-09-08 23:57:13.129849 : Epoch  3, Batch    399, Loss  0.879985, Average Loss  0.869824, Time  0.385975
2021-09-08 23:57:15.002832 : Epoch  3, Batch    400, Loss  0.882168, Average Loss  0.869833, Time  0.406144
2021-09-08 23:57:16.874055 : Epoch  3, Batch    401, Loss  0.855427, Average Loss  0.869747, Time  0.398972
2021-09-08 23:57:18.836932 : Epoch  3, Batch    402, Loss  0.882216, Average Loss  0.869839, Time  0.489842
2021-09-08 23:57:20.795935 : Epoch  3, Batch    403, Loss  0.855528, Average Loss  0.869841, Time  0.487254
2021-09-08 23:57:22.657768 : Epoch  3, Batch    404, Loss  0.887475, Average Loss  0.869968, Time  0.400336
2021-09-08 23:57:24.453779 : Epoch  3, Batch    405, Loss  0.882024, Average Loss  0.870028, Time  0.361126
2021-09-08 23:57:26.250781 : Epoch  3, Batch    406, Loss  0.851831, Average Loss  0.869880, Time  0.369167
2021-09-08 23:57:28.155837 : Epoch  3, Batch    407, Loss  0.905433, Average Loss  0.869898, Time  0.457387
2021-09-08 23:57:29.987319 : Epoch  3, Batch    408, Loss  0.884248, Average Loss  0.869739, Time  0.417015
2021-09-08 23:57:31.777342 : Epoch  3, Batch    409, Loss  0.870182, Average Loss  0.869675, Time  0.363248
2021-09-08 23:57:33.574187 : Epoch  3, Batch    410, Loss  0.857500, Average Loss  0.869745, Time  0.361289
2021-09-08 23:57:35.440746 : Epoch  3, Batch    411, Loss  0.867187, Average Loss  0.869686, Time  0.436543
2021-09-08 23:57:37.330389 : Epoch  3, Batch    412, Loss  0.885787, Average Loss  0.869697, Time  0.466461
2021-09-08 23:57:39.122770 : Epoch  3, Batch    413, Loss  0.903988, Average Loss  0.869858, Time  0.359305
2021-09-08 23:57:40.910994 : Epoch  3, Batch    414, Loss  0.869719, Average Loss  0.869914, Time  0.362382
2021-09-08 23:57:42.792975 : Epoch  3, Batch    415, Loss  0.871416, Average Loss  0.869906, Time  0.409587
2021-09-08 23:57:44.769211 : Epoch  3, Batch    416, Loss  0.863748, Average Loss  0.869914, Time  0.489401
2021-09-08 23:57:46.717607 : Epoch  3, Batch    417, Loss  0.866647, Average Loss  0.869885, Time  0.487380
2021-09-08 23:57:48.657930 : Epoch  3, Batch    418, Loss  0.899244, Average Loss  0.870072, Time  0.465937
2021-09-08 23:57:50.542825 : Epoch  3, Batch    419, Loss  0.865054, Average Loss  0.870109, Time  0.405226
2021-09-08 23:57:52.413436 : Epoch  3, Batch    420, Loss  0.882813, Average Loss  0.870100, Time  0.402440
2021-09-08 23:57:54.278794 : Epoch  3, Batch    421, Loss  0.855099, Average Loss  0.870004, Time  0.396795
2021-09-08 23:57:56.244939 : Epoch  3, Batch    422, Loss  0.871671, Average Loss  0.869961, Time  0.491220
2021-09-08 23:57:58.196780 : Epoch  3, Batch    423, Loss  0.871273, Average Loss  0.869928, Time  0.481331
2021-09-08 23:58:00.057880 : Epoch  3, Batch    424, Loss  0.853875, Average Loss  0.869832, Time  0.404164
2021-09-08 23:58:01.928115 : Epoch  3, Batch    425, Loss  0.833687, Average Loss  0.869612, Time  0.398388
2021-09-08 23:58:03.791783 : Epoch  3, Batch    426, Loss  0.863434, Average Loss  0.869516, Time  0.397828
2021-09-08 23:58:05.735825 : Epoch  3, Batch    427, Loss  0.870785, Average Loss  0.869445, Time  0.483055
2021-09-08 23:58:07.658600 : Epoch  3, Batch    428, Loss  0.857169, Average Loss  0.869359, Time  0.496725
2021-09-08 23:58:09.432334 : Epoch  3, Batch    429, Loss  0.875527, Average Loss  0.869383, Time  0.359447
2021-09-08 23:58:11.217202 : Epoch  3, Batch    430, Loss  0.848979, Average Loss  0.869348, Time  0.357357
2021-09-08 23:58:13.031823 : Epoch  3, Batch    431, Loss  0.854111, Average Loss  0.869282, Time  0.386608
2021-09-08 23:58:14.908839 : Epoch  3, Batch    432, Loss  0.874689, Average Loss  0.869287, Time  0.457745
2021-09-08 23:58:16.690339 : Epoch  3, Batch    433, Loss  0.874979, Average Loss  0.869254, Time  0.358516
2021-09-08 23:58:18.474319 : Epoch  3, Batch    434, Loss  0.849353, Average Loss  0.869261, Time  0.361111
2021-09-08 23:58:20.308361 : Epoch  3, Batch    435, Loss  0.838020, Average Loss  0.869142, Time  0.367519
2021-09-08 23:58:22.189722 : Epoch  3, Batch    436, Loss  0.888243, Average Loss  0.869363, Time  0.458357
2021-09-08 23:58:23.993777 : Epoch  3, Batch    437, Loss  0.876648, Average Loss  0.869363, Time  0.387704
2021-09-08 23:58:25.769772 : Epoch  3, Batch    438, Loss  0.860314, Average Loss  0.869297, Time  0.363228
2021-09-08 23:58:27.544933 : Epoch  3, Batch    439, Loss  0.868568, Average Loss  0.869235, Time  0.359912
2021-09-08 23:58:29.410061 : Epoch  3, Batch    440, Loss  0.871078, Average Loss  0.869323, Time  0.451342
2021-09-08 23:58:31.308287 : Epoch  3, Batch    441, Loss  0.871049, Average Loss  0.869334, Time  0.465278
2021-09-08 23:58:33.107849 : Epoch  3, Batch    442, Loss  0.874092, Average Loss  0.869417, Time  0.338642
2021-09-08 23:58:34.905814 : Epoch  3, Batch    443, Loss  0.883875, Average Loss  0.869488, Time  0.361804
2021-09-08 23:58:36.710999 : Epoch  3, Batch    444, Loss  0.863347, Average Loss  0.869306, Time  0.394391
2021-09-08 23:58:38.658566 : Epoch  3, Batch    445, Loss  0.850973, Average Loss  0.869265, Time  0.489693
2021-09-08 23:58:40.526779 : Epoch  3, Batch    446, Loss  0.840532, Average Loss  0.869124, Time  0.448440
2021-09-08 23:58:42.317323 : Epoch  3, Batch    447, Loss  0.842085, Average Loss  0.868833, Time  0.360752
2021-09-08 23:58:44.103890 : Epoch  3, Batch    448, Loss  0.888438, Average Loss  0.868952, Time  0.359602
2021-09-08 23:58:45.941178 : Epoch  3, Batch    449, Loss  0.846596, Average Loss  0.868896, Time  0.422309
2021-09-08 23:58:47.832779 : Epoch  3, Batch    450, Loss  0.898874, Average Loss  0.869063, Time  0.467319
2021-09-08 23:58:49.622098 : Epoch  3, Batch    451, Loss  0.882312, Average Loss  0.869146, Time  0.363476
2021-09-08 23:58:51.403841 : Epoch  3, Batch    452, Loss  0.854329, Average Loss  0.869070, Time  0.361167
2021-09-08 23:58:53.311089 : Epoch  3, Batch    453, Loss  0.872755, Average Loss  0.869073, Time  0.401451
2021-09-08 23:58:55.265017 : Epoch  3, Batch    454, Loss  0.857086, Average Loss  0.868938, Time  0.487453
2021-09-08 23:58:57.168383 : Epoch  3, Batch    455, Loss  0.860401, Average Loss  0.868908, Time  0.453418
2021-09-08 23:58:58.943775 : Epoch  3, Batch    456, Loss  0.881145, Average Loss  0.869139, Time  0.358845
2021-09-08 23:59:00.732148 : Epoch  3, Batch    457, Loss  0.906322, Average Loss  0.869330, Time  0.359476
2021-09-08 23:59:02.562807 : Epoch  3, Batch    458, Loss  0.835577, Average Loss  0.869125, Time  0.403452
2021-09-08 23:59:04.442333 : Epoch  3, Batch    459, Loss  0.867781, Average Loss  0.869104, Time  0.459408
2021-09-08 23:59:06.217880 : Epoch  3, Batch    460, Loss  0.858719, Average Loss  0.869040, Time  0.361105
2021-09-08 23:59:07.999944 : Epoch  3, Batch    461, Loss  0.885057, Average Loss  0.869009, Time  0.362815
2021-09-08 23:59:09.806827 : Epoch  3, Batch    462, Loss  0.859345, Average Loss  0.868962, Time  0.384913
2021-09-08 23:59:11.683354 : Epoch  3, Batch    463, Loss  0.890920, Average Loss  0.868973, Time  0.454707
2021-09-08 23:59:13.447514 : Epoch  3, Batch    464, Loss  0.867720, Average Loss  0.868855, Time  0.337563
2021-09-08 23:59:15.248863 : Epoch  3, Batch    465, Loss  0.853204, Average Loss  0.868832, Time  0.362128
2021-09-08 23:59:17.044830 : Epoch  3, Batch    466, Loss  0.889894, Average Loss  0.868947, Time  0.362770
2021-09-08 23:59:18.928061 : Epoch  3, Batch    467, Loss  0.894452, Average Loss  0.869052, Time  0.456120
2021-09-08 23:59:20.771247 : Epoch  3, Batch    468, Loss  0.877699, Average Loss  0.869043, Time  0.420347
2021-09-08 23:59:22.639965 : Epoch  3, Batch    469, Loss  0.869491, Average Loss  0.869244, Time  0.399944
2021-09-08 23:59:24.513009 : Epoch  3, Batch    470, Loss  0.844823, Average Loss  0.869053, Time  0.402325
2021-09-08 23:59:26.366869 : Epoch  3, Batch    471, Loss  0.884785, Average Loss  0.869190, Time  0.382740
2021-09-08 23:59:28.244421 : Epoch  3, Batch    472, Loss  0.870408, Average Loss  0.869154, Time  0.454680
2021-09-08 23:59:30.039618 : Epoch  3, Batch    473, Loss  0.864439, Average Loss  0.869197, Time  0.374534
2021-09-08 23:59:31.919122 : Epoch  3, Batch    474, Loss  0.870536, Average Loss  0.869262, Time  0.403828
2021-09-08 23:59:33.695899 : Epoch  3, Batch    475, Loss  0.871166, Average Loss  0.869191, Time  0.372559
2021-09-08 23:59:35.574572 : Epoch  3, Batch    476, Loss  0.880723, Average Loss  0.869345, Time  0.457925
2021-09-08 23:59:37.451050 : Epoch  3, Batch    477, Loss  0.867085, Average Loss  0.869462, Time  0.445929
2021-09-08 23:59:39.310077 : Epoch  3, Batch    478, Loss  0.886237, Average Loss  0.869629, Time  0.411832
2021-09-09 00:04:32.449737 : CheckPoint: Validation Loss  0.00060769, Best Loss  0.00058177
2021-09-09 00:04:34.236136 : Epoch  3, Batch    479, Loss  0.847483, Average Loss  0.869660, Time  0.349981
2021-09-09 00:04:36.122778 : Epoch  3, Batch    480, Loss  0.901566, Average Loss  0.869666, Time  0.447320
2021-09-09 00:04:38.009262 : Epoch  3, Batch    481, Loss  0.879370, Average Loss  0.869539, Time  0.454196
2021-09-09 00:04:39.788995 : Epoch  3, Batch    482, Loss  0.872928, Average Loss  0.869772, Time  0.359368
2021-09-09 00:04:41.572237 : Epoch  3, Batch    483, Loss  0.883136, Average Loss  0.869816, Time  0.358915
2021-09-09 00:04:43.481102 : Epoch  3, Batch    484, Loss  0.873138, Average Loss  0.869809, Time  0.416966
2021-09-09 00:04:45.448783 : Epoch  3, Batch    485, Loss  0.848727, Average Loss  0.869677, Time  0.490930
2021-09-09 00:04:47.397463 : Epoch  3, Batch    486, Loss  0.882231, Average Loss  0.869667, Time  0.474886
2021-09-09 00:04:49.258354 : Epoch  3, Batch    487, Loss  0.866123, Average Loss  0.869639, Time  0.399088
2021-09-09 00:04:51.130981 : Epoch  3, Batch    488, Loss  0.844197, Average Loss  0.869635, Time  0.401071
2021-09-09 00:04:53.015621 : Epoch  3, Batch    489, Loss  0.839829, Average Loss  0.869601, Time  0.408909
2021-09-09 00:04:54.979787 : Epoch  3, Batch    490, Loss  0.855791, Average Loss  0.869416, Time  0.489911
2021-09-09 00:04:56.932779 : Epoch  3, Batch    491, Loss  0.865180, Average Loss  0.869319, Time  0.483168
2021-09-09 00:04:58.807329 : Epoch  3, Batch    492, Loss  0.882061, Average Loss  0.869157, Time  0.401829
2021-09-09 00:05:00.670003 : Epoch  3, Batch    493, Loss  0.880566, Average Loss  0.869293, Time  0.401303
2021-09-09 00:05:02.546787 : Epoch  3, Batch    494, Loss  0.857489, Average Loss  0.869105, Time  0.401713
2021-09-09 00:05:04.508776 : Epoch  3, Batch    495, Loss  0.873347, Average Loss  0.869170, Time  0.489817
2021-09-09 00:05:06.452125 : Epoch  3, Batch    496, Loss  0.886461, Average Loss  0.869215, Time  0.462790
2021-09-09 00:05:08.239772 : Epoch  3, Batch    497, Loss  0.847344, Average Loss  0.869126, Time  0.360231
2021-09-09 00:05:10.027775 : Epoch  3, Batch    498, Loss  0.871039, Average Loss  0.869158, Time  0.359155
2021-09-09 00:05:11.840817 : Epoch  3, Batch    499, Loss  0.858745, Average Loss  0.869118, Time  0.389746
2021-09-09 00:05:13.732479 : Epoch  3, Batch    500, Loss  0.872359, Average Loss  0.869234, Time  0.458639
2021-09-09 00:05:15.716780 : Epoch  3, Batch    501, Loss  0.917691, Average Loss  0.869533, Time  0.481982
2021-09-09 00:05:17.604224 : Epoch  3, Batch    502, Loss  0.883714, Average Loss  0.869569, Time  0.410778
2021-09-09 00:05:19.498885 : Epoch  3, Batch    503, Loss  0.897457, Average Loss  0.869729, Time  0.410250
2021-09-09 00:05:21.360816 : Epoch  3, Batch    504, Loss  0.881755, Average Loss  0.869681, Time  0.400479
2021-09-09 00:05:23.296480 : Epoch  3, Batch    505, Loss  0.872029, Average Loss  0.869780, Time  0.456797
2021-09-09 00:05:25.242783 : Epoch  3, Batch    506, Loss  0.862743, Average Loss  0.869701, Time  0.480632
2021-09-09 00:05:27.118821 : Epoch  3, Batch    507, Loss  0.859805, Average Loss  0.869779, Time  0.400747
2021-09-09 00:05:29.020783 : Epoch  3, Batch    508, Loss  0.865919, Average Loss  0.869771, Time  0.404337
2021-09-09 00:05:30.900370 : Epoch  3, Batch    509, Loss  0.860147, Average Loss  0.869756, Time  0.399935
2021-09-09 00:05:32.862777 : Epoch  3, Batch    510, Loss  0.900437, Average Loss  0.869851, Time  0.496130
2021-09-09 00:05:34.818367 : Epoch  3, Batch    511, Loss  0.884218, Average Loss  0.869940, Time  0.482417
2021-09-09 00:05:36.686828 : Epoch  3, Batch    512, Loss  0.887025, Average Loss  0.869961, Time  0.402094
2021-09-09 00:05:38.527777 : Epoch  3, Batch    513, Loss  0.873766, Average Loss  0.869910, Time  0.371116
2021-09-09 00:05:40.326818 : Epoch  3, Batch    514, Loss  0.866362, Average Loss  0.869853, Time  0.361242
2021-09-09 00:05:42.214771 : Epoch  3, Batch    515, Loss  0.852940, Average Loss  0.869652, Time  0.452266
2021-09-09 00:05:44.026795 : Epoch  3, Batch    516, Loss  0.873758, Average Loss  0.869674, Time  0.383710
2021-09-09 00:05:45.808100 : Epoch  3, Batch    517, Loss  0.885679, Average Loss  0.869853, Time  0.359150
2021-09-09 00:05:47.651775 : Epoch  3, Batch    518, Loss  0.855073, Average Loss  0.869737, Time  0.399941
2021-09-09 00:05:49.602084 : Epoch  3, Batch    519, Loss  0.861887, Average Loss  0.869775, Time  0.479184
2021-09-09 00:05:51.513682 : Epoch  3, Batch    520, Loss  0.881407, Average Loss  0.869689, Time  0.452448
2021-09-09 00:05:53.375799 : Epoch  3, Batch    521, Loss  0.886823, Average Loss  0.869803, Time  0.402726
2021-09-09 00:05:55.247924 : Epoch  3, Batch    522, Loss  0.878556, Average Loss  0.869922, Time  0.401041
2021-09-09 00:05:57.109919 : Epoch  3, Batch    523, Loss  0.859445, Average Loss  0.869841, Time  0.400473
2021-09-09 00:05:59.061709 : Epoch  3, Batch    524, Loss  0.895864, Average Loss  0.869947, Time  0.489525
2021-09-09 00:06:01.011782 : Epoch  3, Batch    525, Loss  0.878625, Average Loss  0.870207, Time  0.483831
2021-09-09 00:06:02.879134 : Epoch  3, Batch    526, Loss  0.861650, Average Loss  0.870137, Time  0.398793
2021-09-09 00:06:04.744713 : Epoch  3, Batch    527, Loss  0.848758, Average Loss  0.870091, Time  0.405074
2021-09-09 00:06:06.611788 : Epoch  3, Batch    528, Loss  0.859253, Average Loss  0.870080, Time  0.399192
2021-09-09 00:06:08.564229 : Epoch  3, Batch    529, Loss  0.859609, Average Loss  0.869977, Time  0.489795
2021-09-09 00:06:10.519786 : Epoch  3, Batch    530, Loss  0.870141, Average Loss  0.870118, Time  0.487369
2021-09-09 00:06:12.461199 : Epoch  3, Batch    531, Loss  0.906984, Average Loss  0.870375, Time  0.471882
2021-09-09 00:06:14.333805 : Epoch  3, Batch    532, Loss  0.874204, Average Loss  0.870342, Time  0.401890
2021-09-09 00:06:16.211345 : Epoch  3, Batch    533, Loss  0.868067, Average Loss  0.870308, Time  0.399412
2021-09-09 00:06:18.158773 : Epoch  3, Batch    534, Loss  0.856549, Average Loss  0.870195, Time  0.397569
2021-09-09 00:06:20.111902 : Epoch  3, Batch    535, Loss  0.894470, Average Loss  0.870412, Time  0.488299
2021-09-09 00:06:22.067289 : Epoch  3, Batch    536, Loss  0.862062, Average Loss  0.870288, Time  0.482050
2021-09-09 00:06:23.937781 : Epoch  3, Batch    537, Loss  0.865764, Average Loss  0.870281, Time  0.401939
2021-09-09 00:06:25.811565 : Epoch  3, Batch    538, Loss  0.860505, Average Loss  0.870215, Time  0.402595
2021-09-09 00:06:27.680299 : Epoch  3, Batch    539, Loss  0.871627, Average Loss  0.870067, Time  0.400197
2021-09-09 00:06:29.628787 : Epoch  3, Batch    540, Loss  0.854355, Average Loss  0.869946, Time  0.484037
2021-09-09 00:06:31.593847 : Epoch  3, Batch    541, Loss  0.886768, Average Loss  0.870102, Time  0.479990
2021-09-09 00:06:33.470809 : Epoch  3, Batch    542, Loss  0.880938, Average Loss  0.870307, Time  0.412127
2021-09-09 00:06:35.304215 : Epoch  3, Batch    543, Loss  0.885244, Average Loss  0.870453, Time  0.390843
2021-09-09 00:06:37.194778 : Epoch  3, Batch    544, Loss  0.870555, Average Loss  0.870466, Time  0.411936
2021-09-09 00:06:39.119227 : Epoch  3, Batch    545, Loss  0.854430, Average Loss  0.870381, Time  0.453583
2021-09-09 00:06:40.929830 : Epoch  3, Batch    546, Loss  0.900533, Average Loss  0.870497, Time  0.397958
2021-09-09 00:06:42.723134 : Epoch  3, Batch    547, Loss  0.874573, Average Loss  0.870483, Time  0.360110
2021-09-09 00:06:44.508774 : Epoch  3, Batch    548, Loss  0.867562, Average Loss  0.870634, Time  0.358389
2021-09-09 00:06:46.395330 : Epoch  3, Batch    549, Loss  0.884147, Average Loss  0.870675, Time  0.461009
2021-09-09 00:06:48.274121 : Epoch  3, Batch    550, Loss  0.858978, Average Loss  0.870618, Time  0.451164
2021-09-09 00:06:50.136445 : Epoch  3, Batch    551, Loss  0.915774, Average Loss  0.870859, Time  0.397228
2021-09-09 00:06:52.009913 : Epoch  3, Batch    552, Loss  0.865167, Average Loss  0.870867, Time  0.399480
2021-09-09 00:06:53.822821 : Epoch  3, Batch    553, Loss  0.867302, Average Loss  0.870912, Time  0.371277
2021-09-09 00:06:55.714779 : Epoch  3, Batch    554, Loss  0.850442, Average Loss  0.870727, Time  0.469081
2021-09-09 00:06:57.567023 : Epoch  3, Batch    555, Loss  0.897240, Average Loss  0.870956, Time  0.421105
2021-09-09 00:06:59.449815 : Epoch  3, Batch    556, Loss  0.908610, Average Loss  0.871218, Time  0.420056
2021-09-09 00:07:01.321786 : Epoch  3, Batch    557, Loss  0.882493, Average Loss  0.871396, Time  0.398550
2021-09-09 00:07:03.216786 : Epoch  3, Batch    558, Loss  0.838665, Average Loss  0.871154, Time  0.416194
2021-09-09 00:07:05.184206 : Epoch  3, Batch    559, Loss  0.880400, Average Loss  0.871279, Time  0.492381
2021-09-09 00:07:07.092799 : Epoch  3, Batch    560, Loss  0.855266, Average Loss  0.871025, Time  0.456670
2021-09-09 00:07:08.896780 : Epoch  3, Batch    561, Loss  0.865239, Average Loss  0.870917, Time  0.367032
2021-09-09 00:07:10.739850 : Epoch  3, Batch    562, Loss  0.866939, Average Loss  0.870848, Time  0.406307
2021-09-09 00:07:12.569778 : Epoch  3, Batch    563, Loss  0.864576, Average Loss  0.870859, Time  0.393032
2021-09-09 00:07:14.475777 : Epoch  3, Batch    564, Loss  0.880722, Average Loss  0.871015, Time  0.455739
2021-09-09 00:07:16.276456 : Epoch  3, Batch    565, Loss  0.851345, Average Loss  0.870761, Time  0.363399
2021-09-09 00:07:18.064334 : Epoch  3, Batch    566, Loss  0.866910, Average Loss  0.870887, Time  0.361388
2021-09-09 00:07:19.876983 : Epoch  3, Batch    567, Loss  0.865025, Average Loss  0.870847, Time  0.392430
2021-09-09 00:07:21.800291 : Epoch  3, Batch    568, Loss  0.883993, Average Loss  0.870883, Time  0.471904
2021-09-09 00:07:23.576771 : Epoch  3, Batch    569, Loss  0.895468, Average Loss  0.871024, Time  0.359047
2021-09-09 00:07:25.364886 : Epoch  3, Batch    570, Loss  0.845087, Average Loss  0.870712, Time  0.357643
2021-09-09 00:07:27.162975 : Epoch  3, Batch    571, Loss  0.849031, Average Loss  0.870642, Time  0.373451
2021-09-09 00:07:29.033694 : Epoch  3, Batch    572, Loss  0.873839, Average Loss  0.870877, Time  0.453778
2021-09-09 00:07:30.811389 : Epoch  3, Batch    573, Loss  0.869959, Average Loss  0.870802, Time  0.359365
2021-09-09 00:07:32.670051 : Epoch  3, Batch    574, Loss  0.884477, Average Loss  0.870870, Time  0.400565
2021-09-09 00:07:34.515358 : Epoch  3, Batch    575, Loss  0.875047, Average Loss  0.870915, Time  0.367383
2021-09-09 00:07:36.400847 : Epoch  3, Batch    576, Loss  0.880370, Average Loss  0.870887, Time  0.457583
2021-09-09 00:07:38.183990 : Epoch  3, Batch    577, Loss  0.878745, Average Loss  0.871026, Time  0.362240
2021-09-09 00:07:45.707800 : Epoch  3, Batch    578, Loss  0.855524, Average Loss  0.870970, Time  0.456613
2021-09-09 00:12:38.852822 : CheckPoint: Validation Loss  0.00059166, Best Loss  0.00058177
2021-09-09 00:12:40.702812 : Epoch  3, Batch    579, Loss  0.871625, Average Loss  0.871082, Time  0.418923
2021-09-09 00:12:42.589833 : Epoch  3, Batch    580, Loss  0.877930, Average Loss  0.871151, Time  0.458162
2021-09-09 00:12:44.379795 : Epoch  3, Batch    581, Loss  0.853250, Average Loss  0.870975, Time  0.366038
2021-09-09 00:12:46.203025 : Epoch  3, Batch    582, Loss  0.872234, Average Loss  0.871122, Time  0.359905
2021-09-09 00:12:47.985779 : Epoch  3, Batch    583, Loss  0.841448, Average Loss  0.870985, Time  0.361879
2021-09-09 00:12:49.874820 : Epoch  3, Batch    584, Loss  0.860765, Average Loss  0.870954, Time  0.453518
2021-09-09 00:12:51.640399 : Epoch  3, Batch    585, Loss  0.858970, Average Loss  0.871005, Time  0.338281
2021-09-09 00:12:53.442801 : Epoch  3, Batch    586, Loss  0.878078, Average Loss  0.870926, Time  0.361905
2021-09-09 00:12:55.223810 : Epoch  3, Batch    587, Loss  0.854688, Average Loss  0.870778, Time  0.356672
2021-09-09 00:12:57.113832 : Epoch  3, Batch    588, Loss  0.863718, Average Loss  0.870559, Time  0.452204
2021-09-09 00:12:59.098841 : Epoch  3, Batch    589, Loss  0.880582, Average Loss  0.870767, Time  0.482614
2021-09-09 00:13:00.979202 : Epoch  3, Batch    590, Loss  0.901173, Average Loss  0.870906, Time  0.402145
2021-09-09 00:13:02.845292 : Epoch  3, Batch    591, Loss  0.848024, Average Loss  0.870847, Time  0.395197
2021-09-09 00:13:04.687348 : Epoch  3, Batch    592, Loss  0.888225, Average Loss  0.870901, Time  0.377115
2021-09-09 00:13:06.632247 : Epoch  3, Batch    593, Loss  0.818677, Average Loss  0.870607, Time  0.486905
2021-09-09 00:13:08.586296 : Epoch  3, Batch    594, Loss  0.876145, Average Loss  0.870627, Time  0.480826
2021-09-09 00:13:10.457025 : Epoch  3, Batch    595, Loss  0.864762, Average Loss  0.870583, Time  0.403094
2021-09-09 00:13:12.342336 : Epoch  3, Batch    596, Loss  0.894405, Average Loss  0.870664, Time  0.404804
2021-09-09 00:13:14.146270 : Epoch  3, Batch    597, Loss  0.879315, Average Loss  0.870674, Time  0.379090
2021-09-09 00:13:16.037679 : Epoch  3, Batch    598, Loss  0.866519, Average Loss  0.870728, Time  0.461537
2021-09-09 00:13:17.823842 : Epoch  3, Batch    599, Loss  0.845258, Average Loss  0.870554, Time  0.357679
2021-09-09 00:13:19.608159 : Epoch  3, Batch    600, Loss  0.876645, Average Loss  0.870526, Time  0.366077
2021-09-09 00:13:21.429776 : Epoch  3, Batch    601, Loss  0.846476, Average Loss  0.870482, Time  0.388139
2021-09-09 00:13:23.331796 : Epoch  3, Batch    602, Loss  0.861960, Average Loss  0.870380, Time  0.467784
2021-09-09 00:13:25.223775 : Epoch  3, Batch    603, Loss  0.854953, Average Loss  0.870378, Time  0.473985
2021-09-09 00:13:27.251864 : Epoch  3, Batch    604, Loss  0.872150, Average Loss  0.870301, Time  0.490802
2021-09-09 00:13:29.244304 : Epoch  3, Batch    605, Loss  0.869076, Average Loss  0.870236, Time  0.505116
2021-09-09 00:13:31.216873 : Epoch  3, Batch    606, Loss  0.861875, Average Loss  0.870286, Time  0.499583
2021-09-09 00:13:33.085040 : Epoch  3, Batch    607, Loss  0.881471, Average Loss  0.870167, Time  0.437295
2021-09-09 00:13:35.200025 : Epoch  3, Batch    608, Loss  0.892364, Average Loss  0.870207, Time  0.483407
2021-09-09 00:13:37.153419 : Epoch  3, Batch    609, Loss  0.888601, Average Loss  0.870299, Time  0.487496
2021-09-09 00:13:39.020186 : Epoch  3, Batch    610, Loss  0.868838, Average Loss  0.870356, Time  0.403895
2021-09-09 00:13:41.025784 : Epoch  3, Batch    611, Loss  0.855398, Average Loss  0.870297, Time  0.399406
2021-09-09 00:13:42.900033 : Epoch  3, Batch    612, Loss  0.875150, Average Loss  0.870244, Time  0.404622
2021-09-09 00:13:44.892879 : Epoch  3, Batch    613, Loss  0.873308, Average Loss  0.870090, Time  0.521299
2021-09-09 00:13:46.820786 : Epoch  3, Batch    614, Loss  0.854563, Average Loss  0.870015, Time  0.470047
2021-09-09 00:13:48.662809 : Epoch  3, Batch    615, Loss  0.877253, Average Loss  0.870044, Time  0.409293
2021-09-09 00:13:50.492823 : Epoch  3, Batch    616, Loss  0.869021, Average Loss  0.870070, Time  0.397350
2021-09-09 00:13:52.421819 : Epoch  3, Batch    617, Loss  0.900164, Average Loss  0.870238, Time  0.501510
2021-09-09 00:13:54.246201 : Epoch  3, Batch    618, Loss  0.904213, Average Loss  0.870263, Time  0.411149
2021-09-09 00:13:56.134800 : Epoch  3, Batch    619, Loss  0.895966, Average Loss  0.870417, Time  0.465105
2021-09-09 00:13:57.958450 : Epoch  3, Batch    620, Loss  0.882974, Average Loss  0.870418, Time  0.394411
2021-09-09 00:13:59.843820 : Epoch  3, Batch    621, Loss  0.866218, Average Loss  0.870474, Time  0.449245
2021-09-09 00:14:01.721007 : Epoch  3, Batch    622, Loss  0.884127, Average Loss  0.870536, Time  0.449482
2021-09-09 00:14:03.566598 : Epoch  3, Batch    623, Loss  0.885477, Average Loss  0.870607, Time  0.395684
2021-09-09 00:14:05.383851 : Epoch  3, Batch    624, Loss  0.855725, Average Loss  0.870616, Time  0.385424
2021-09-09 00:14:07.227280 : Epoch  3, Batch    625, Loss  0.877483, Average Loss  0.870835, Time  0.435895
2021-09-09 00:14:09.111696 : Epoch  3, Batch    626, Loss  0.892864, Average Loss  0.870982, Time  0.452612
2021-09-09 00:14:11.085181 : Epoch  3, Batch    627, Loss  0.844853, Average Loss  0.870853, Time  0.553080
2021-09-09 00:14:12.905892 : Epoch  3, Batch    628, Loss  0.869790, Average Loss  0.870916, Time  0.400861
2021-09-09 00:14:14.747872 : Epoch  3, Batch    629, Loss  0.879450, Average Loss  0.870935, Time  0.421174
2021-09-09 00:14:16.724271 : Epoch  3, Batch    630, Loss  0.885223, Average Loss  0.871117, Time  0.553214
2021-09-09 00:14:18.631785 : Epoch  3, Batch    631, Loss  0.843320, Average Loss  0.871063, Time  0.460208
2021-09-09 00:14:20.445878 : Epoch  3, Batch    632, Loss  0.837911, Average Loss  0.870879, Time  0.392127
2021-09-09 00:14:22.319249 : Epoch  3, Batch    633, Loss  0.870233, Average Loss  0.870855, Time  0.444400
2021-09-09 00:14:24.180293 : Epoch  3, Batch    634, Loss  0.882468, Average Loss  0.871021, Time  0.413222
2021-09-09 00:14:26.101465 : Epoch  3, Batch    635, Loss  0.867059, Average Loss  0.871166, Time  0.510162
2021-09-09 00:14:27.967995 : Epoch  3, Batch    636, Loss  0.899211, Average Loss  0.871221, Time  0.404259
2021-09-09 00:14:29.832294 : Epoch  3, Batch    637, Loss  0.871785, Average Loss  0.871196, Time  0.429672
2021-09-09 00:14:31.804076 : Epoch  3, Batch    638, Loss  0.873723, Average Loss  0.871263, Time  0.514330
2021-09-09 00:14:33.693040 : Epoch  3, Batch    639, Loss  0.863964, Average Loss  0.871240, Time  0.459552
2021-09-09 00:14:35.634431 : Epoch  3, Batch    640, Loss  0.894765, Average Loss  0.871359, Time  0.445015
2021-09-09 00:14:37.592877 : Epoch  3, Batch    641, Loss  0.883161, Average Loss  0.871419, Time  0.476678
2021-09-09 00:14:39.579170 : Epoch  3, Batch    642, Loss  0.910403, Average Loss  0.871601, Time  0.485038
2021-09-09 00:14:41.579998 : Epoch  3, Batch    643, Loss  0.875432, Average Loss  0.871559, Time  0.531242
2021-09-09 00:14:43.498639 : Epoch  3, Batch    644, Loss  0.843695, Average Loss  0.871460, Time  0.441892
2021-09-09 00:14:45.484571 : Epoch  3, Batch    645, Loss  0.868839, Average Loss  0.871550, Time  0.507569
2021-09-09 00:14:47.407235 : Epoch  3, Batch    646, Loss  0.873518, Average Loss  0.871715, Time  0.461294
2021-09-09 00:14:49.298464 : Epoch  3, Batch    647, Loss  0.847905, Average Loss  0.871744, Time  0.438091
2021-09-09 00:14:51.192676 : Epoch  3, Batch    648, Loss  0.899981, Average Loss  0.871801, Time  0.491066
2021-09-09 00:14:53.075761 : Epoch  3, Batch    649, Loss  0.840460, Average Loss  0.871771, Time  0.479757
2021-09-09 00:14:55.065022 : Epoch  3, Batch    650, Loss  0.860236, Average Loss  0.871578, Time  0.521365
2021-09-09 00:14:56.892380 : Epoch  3, Batch    651, Loss  0.863002, Average Loss  0.871481, Time  0.420047
2021-09-09 00:14:58.804752 : Epoch  3, Batch    652, Loss  0.856292, Average Loss  0.871491, Time  0.501493
2021-09-09 00:15:00.703672 : Epoch  3, Batch    653, Loss  0.872754, Average Loss  0.871491, Time  0.462436
2021-09-09 00:15:02.577092 : Epoch  3, Batch    654, Loss  0.866637, Average Loss  0.871539, Time  0.464899
2021-09-09 00:15:04.471108 : Epoch  3, Batch    655, Loss  0.873921, Average Loss  0.871606, Time  0.452954
2021-09-09 00:15:06.388289 : Epoch  3, Batch    656, Loss  0.856505, Average Loss  0.871483, Time  0.460889
2021-09-09 00:15:08.277101 : Epoch  3, Batch    657, Loss  0.890462, Average Loss  0.871404, Time  0.431153
2021-09-09 00:15:10.243102 : Epoch  3, Batch    658, Loss  0.857601, Average Loss  0.871514, Time  0.507409
2021-09-09 00:15:12.219498 : Epoch  3, Batch    659, Loss  0.858528, Average Loss  0.871468, Time  0.523015
2021-09-09 00:15:14.068238 : Epoch  3, Batch    660, Loss  0.881105, Average Loss  0.871580, Time  0.434326
2021-09-09 00:15:15.921891 : Epoch  3, Batch    661, Loss  0.885021, Average Loss  0.871579, Time  0.435370
2021-09-09 00:15:17.801830 : Epoch  3, Batch    662, Loss  0.887929, Average Loss  0.871722, Time  0.465537
2021-09-09 00:15:19.686281 : Epoch  3, Batch    663, Loss  0.844214, Average Loss  0.871489, Time  0.458786
2021-09-09 00:15:21.508233 : Epoch  3, Batch    664, Loss  0.881671, Average Loss  0.871558, Time  0.406199
2021-09-09 00:15:23.463237 : Epoch  3, Batch    665, Loss  0.862900, Average Loss  0.871607, Time  0.537221
2021-09-09 00:15:25.310147 : Epoch  3, Batch    666, Loss  0.869451, Average Loss  0.871505, Time  0.415818
2021-09-09 00:15:27.156242 : Epoch  3, Batch    667, Loss  0.899776, Average Loss  0.871531, Time  0.441632
2021-09-09 00:15:29.064833 : Epoch  3, Batch    668, Loss  0.868776, Average Loss  0.871487, Time  0.497717
2021-09-09 00:15:30.945784 : Epoch  3, Batch    669, Loss  0.852346, Average Loss  0.871401, Time  0.469455
2021-09-09 00:15:32.902754 : Epoch  3, Batch    670, Loss  0.892399, Average Loss  0.871639, Time  0.474412
2021-09-09 00:15:34.836385 : Epoch  3, Batch    671, Loss  0.894920, Average Loss  0.871690, Time  0.461545
2021-09-09 00:15:36.769602 : Epoch  3, Batch    672, Loss  0.865307, Average Loss  0.871664, Time  0.466183
2021-09-09 00:15:38.766426 : Epoch  3, Batch    673, Loss  0.868372, Average Loss  0.871684, Time  0.475479
2021-09-09 00:15:40.721408 : Epoch  3, Batch    674, Loss  0.865448, Average Loss  0.871658, Time  0.486051
2021-09-09 00:15:42.761578 : Epoch  3, Batch    675, Loss  0.889944, Average Loss  0.871752, Time  0.501488
2021-09-09 00:15:44.823175 : Epoch  3, Batch    676, Loss  0.878765, Average Loss  0.871742, Time  0.636957
2021-09-09 00:15:46.635777 : Epoch  3, Batch    677, Loss  0.865179, Average Loss  0.871733, Time  0.395333
2021-09-09 00:15:48.570454 : Epoch  3, Batch    678, Loss  0.862334, Average Loss  0.871613, Time  0.464773
2021-09-09 00:20:44.351367 : CheckPoint: Validation Loss  0.00061744, Best Loss  0.00058177
2021-09-09 00:20:46.270664 : Epoch  3, Batch    679, Loss  0.888235, Average Loss  0.871817, Time  0.500050
2021-09-09 00:20:48.231793 : Epoch  3, Batch    680, Loss  0.851227, Average Loss  0.871565, Time  0.468042
2021-09-09 00:20:50.087788 : Epoch  3, Batch    681, Loss  0.893338, Average Loss  0.871635, Time  0.397969
2021-09-09 00:20:51.949782 : Epoch  3, Batch    682, Loss  0.873669, Average Loss  0.871639, Time  0.436919
2021-09-09 00:20:53.794810 : Epoch  3, Batch    683, Loss  0.849290, Average Loss  0.871470, Time  0.407564
2021-09-09 00:20:55.619150 : Epoch  3, Batch    684, Loss  0.873642, Average Loss  0.871472, Time  0.391891
2021-09-09 00:20:57.500889 : Epoch  3, Batch    685, Loss  0.886248, Average Loss  0.871660, Time  0.428232
2021-09-09 00:20:59.341481 : Epoch  3, Batch    686, Loss  0.839955, Average Loss  0.871448, Time  0.397566
2021-09-09 00:21:01.233835 : Epoch  3, Batch    687, Loss  0.869230, Average Loss  0.871464, Time  0.456274
2021-09-09 00:21:03.159785 : Epoch  3, Batch    688, Loss  0.862166, Average Loss  0.871554, Time  0.411690
2021-09-09 00:21:04.997379 : Epoch  3, Batch    689, Loss  0.880352, Average Loss  0.871756, Time  0.404920
2021-09-09 00:21:06.937856 : Epoch  3, Batch    690, Loss  0.866451, Average Loss  0.871810, Time  0.487106
2021-09-09 00:21:08.780374 : Epoch  3, Batch    691, Loss  0.847368, Average Loss  0.871721, Time  0.411255
2021-09-09 00:21:10.729780 : Epoch  3, Batch    692, Loss  0.870806, Average Loss  0.871664, Time  0.521344
2021-09-09 00:21:12.540149 : Epoch  3, Batch    693, Loss  0.864100, Average Loss  0.871582, Time  0.386320
2021-09-09 00:21:14.485764 : Epoch  3, Batch    694, Loss  0.866181, Average Loss  0.871626, Time  0.468332
2021-09-09 00:21:16.403850 : Epoch  3, Batch    695, Loss  0.900145, Average Loss  0.871760, Time  0.446601
2021-09-09 00:21:18.444468 : Epoch  3, Batch    696, Loss  0.857168, Average Loss  0.871613, Time  0.566470
2021-09-09 00:21:20.600332 : Epoch  3, Batch    697, Loss  0.866692, Average Loss  0.871710, Time  0.556446
2021-09-09 00:21:22.519457 : Epoch  3, Batch    698, Loss  0.860901, Average Loss  0.871659, Time  0.439304
2021-09-09 00:21:24.447216 : Epoch  3, Batch    699, Loss  0.828176, Average Loss  0.871506, Time  0.464666
2021-09-09 00:21:26.383930 : Epoch  3, Batch    700, Loss  0.879459, Average Loss  0.871542, Time  0.452526
2021-09-09 00:21:28.291200 : Epoch  3, Batch    701, Loss  0.865365, Average Loss  0.871280, Time  0.446537
2021-09-09 00:21:30.191018 : Epoch  3, Batch    702, Loss  0.861891, Average Loss  0.871171, Time  0.429382
2021-09-09 00:21:32.103824 : Epoch  3, Batch    703, Loss  0.905438, Average Loss  0.871211, Time  0.434465
2021-09-09 00:21:34.094949 : Epoch  3, Batch    704, Loss  0.859150, Average Loss  0.871098, Time  0.540386
2021-09-09 00:21:36.019783 : Epoch  3, Batch    705, Loss  0.845731, Average Loss  0.870966, Time  0.464672
2021-09-09 00:21:37.937322 : Epoch  3, Batch    706, Loss  0.869526, Average Loss  0.871000, Time  0.445021
2021-09-09 00:21:39.942094 : Epoch  3, Batch    707, Loss  0.876636, Average Loss  0.871085, Time  0.529281
2021-09-09 00:21:41.858214 : Epoch  3, Batch    708, Loss  0.904012, Average Loss  0.871275, Time  0.443883
2021-09-09 00:21:43.777894 : Epoch  3, Batch    709, Loss  0.857507, Average Loss  0.871262, Time  0.458461
2021-09-09 00:21:45.711653 : Epoch  3, Batch    710, Loss  0.894011, Average Loss  0.871230, Time  0.451913
2021-09-09 00:21:47.632744 : Epoch  3, Batch    711, Loss  0.870273, Average Loss  0.871160, Time  0.440421
2021-09-09 00:21:49.556750 : Epoch  3, Batch    712, Loss  0.905224, Average Loss  0.871251, Time  0.474223
2021-09-09 00:21:51.476888 : Epoch  3, Batch    713, Loss  0.867294, Average Loss  0.871219, Time  0.461492
2021-09-09 00:21:53.484990 : Epoch  3, Batch    714, Loss  0.877778, Average Loss  0.871276, Time  0.539146
2021-09-09 00:21:55.439308 : Epoch  3, Batch    715, Loss  0.881310, Average Loss  0.871417, Time  0.471498
2021-09-09 00:21:57.435066 : Epoch  3, Batch    716, Loss  0.857495, Average Loss  0.871336, Time  0.533362
2021-09-09 00:21:59.386900 : Epoch  3, Batch    717, Loss  0.892864, Average Loss  0.871372, Time  0.480376
2021-09-09 00:22:01.248058 : Epoch  3, Batch    718, Loss  0.854849, Average Loss  0.871371, Time  0.391313
2021-09-09 00:22:03.068869 : Epoch  3, Batch    719, Loss  0.888488, Average Loss  0.871504, Time  0.393978
2021-09-09 00:22:04.924980 : Epoch  3, Batch    720, Loss  0.871065, Average Loss  0.871452, Time  0.430914
2021-09-09 00:22:06.824744 : Epoch  3, Batch    721, Loss  0.859119, Average Loss  0.871314, Time  0.419989
2021-09-09 00:22:08.741024 : Epoch  3, Batch    722, Loss  0.891526, Average Loss  0.871379, Time  0.459082
2021-09-09 00:22:10.824497 : Epoch  3, Batch    723, Loss  0.891490, Average Loss  0.871539, Time  0.589112
2021-09-09 00:22:12.746606 : Epoch  3, Batch    724, Loss  0.862722, Average Loss  0.871373, Time  0.454884
2021-09-09 00:22:14.650932 : Epoch  3, Batch    725, Loss  0.895480, Average Loss  0.871457, Time  0.471596
2021-09-09 00:22:16.683329 : Epoch  3, Batch    726, Loss  0.859788, Average Loss  0.871448, Time  0.545833
2021-09-09 00:22:18.699162 : Epoch  3, Batch    727, Loss  0.865516, Average Loss  0.871532, Time  0.469251
2021-09-09 00:22:20.619057 : Epoch  3, Batch    728, Loss  0.868818, Average Loss  0.871580, Time  0.429010
2021-09-09 00:22:22.543932 : Epoch  3, Batch    729, Loss  0.827814, Average Loss  0.871421, Time  0.464164
2021-09-09 00:22:24.445463 : Epoch  3, Batch    730, Loss  0.857995, Average Loss  0.871360, Time  0.436875
2021-09-09 00:22:26.448411 : Epoch  3, Batch    731, Loss  0.885771, Average Loss  0.871254, Time  0.512025
2021-09-09 00:22:28.341259 : Epoch  3, Batch    732, Loss  0.855891, Average Loss  0.871162, Time  0.432746
2021-09-09 00:22:30.186861 : Epoch  3, Batch    733, Loss  0.855224, Average Loss  0.871098, Time  0.403751
2021-09-09 00:22:32.251011 : Epoch  3, Batch    734, Loss  0.885662, Average Loss  0.871244, Time  0.494120
2021-09-09 00:22:34.275796 : Epoch  3, Batch    735, Loss  0.867837, Average Loss  0.871111, Time  0.589508
2021-09-09 00:22:36.228148 : Epoch  3, Batch    736, Loss  0.859546, Average Loss  0.871098, Time  0.487672
2021-09-09 00:22:38.165324 : Epoch  3, Batch    737, Loss  0.863876, Average Loss  0.871089, Time  0.470170
2021-09-09 00:22:40.106418 : Epoch  3, Batch    738, Loss  0.876291, Average Loss  0.871167, Time  0.478927
2021-09-09 00:22:41.980800 : Epoch  3, Batch    739, Loss  0.873568, Average Loss  0.871177, Time  0.430535
2021-09-09 00:22:43.906977 : Epoch  3, Batch    740, Loss  0.892342, Average Loss  0.871367, Time  0.456275
2021-09-09 00:22:45.862296 : Epoch  3, Batch    741, Loss  0.873866, Average Loss  0.871303, Time  0.462677
2021-09-09 00:22:47.958311 : Epoch  3, Batch    742, Loss  0.869267, Average Loss  0.871244, Time  0.626206
2021-09-09 00:22:49.863064 : Epoch  3, Batch    743, Loss  0.867070, Average Loss  0.871153, Time  0.441718
2021-09-09 00:22:51.716727 : Epoch  3, Batch    744, Loss  0.866356, Average Loss  0.871132, Time  0.387306
2021-09-09 00:22:53.668930 : Epoch  3, Batch    745, Loss  0.868965, Average Loss  0.871205, Time  0.490774
2021-09-09 00:22:55.527828 : Epoch  3, Batch    746, Loss  0.869281, Average Loss  0.871049, Time  0.389310
2021-09-09 00:22:57.389776 : Epoch  3, Batch    747, Loss  0.851607, Average Loss  0.870934, Time  0.387182
2021-09-09 00:22:59.399595 : Epoch  3, Batch    748, Loss  0.856623, Average Loss  0.870879, Time  0.520235
2021-09-09 00:23:01.222004 : Epoch  3, Batch    749, Loss  0.879524, Average Loss  0.870856, Time  0.389595
2021-09-09 00:23:03.072774 : Epoch  3, Batch    750, Loss  0.857673, Average Loss  0.870850, Time  0.386024
2021-09-09 00:23:04.946212 : Epoch  3, Batch    751, Loss  0.887977, Average Loss  0.870711, Time  0.415142
2021-09-09 00:23:06.803825 : Epoch  3, Batch    752, Loss  0.891174, Average Loss  0.870841, Time  0.426404
2021-09-09 00:23:08.734737 : Epoch  3, Batch    753, Loss  0.886671, Average Loss  0.870938, Time  0.445551
2021-09-09 00:23:10.635499 : Epoch  3, Batch    754, Loss  0.873662, Average Loss  0.871054, Time  0.387243
2021-09-09 00:23:12.536036 : Epoch  3, Batch    755, Loss  0.858537, Average Loss  0.870860, Time  0.483731
2021-09-09 00:23:14.374967 : Epoch  3, Batch    756, Loss  0.845342, Average Loss  0.870544, Time  0.409908
2021-09-09 00:23:16.265959 : Epoch  3, Batch    757, Loss  0.879089, Average Loss  0.870527, Time  0.467901
2021-09-09 00:23:18.102119 : Epoch  3, Batch    758, Loss  0.906971, Average Loss  0.870868, Time  0.411342
2021-09-09 00:23:20.037329 : Epoch  3, Batch    759, Loss  0.845032, Average Loss  0.870691, Time  0.454481
2021-09-09 00:23:21.931784 : Epoch  3, Batch    760, Loss  0.870340, Average Loss  0.870767, Time  0.424984
2021-09-09 00:23:23.841790 : Epoch  3, Batch    761, Loss  0.845385, Average Loss  0.870668, Time  0.445814
2021-09-09 00:23:25.911965 : Epoch  3, Batch    762, Loss  0.873530, Average Loss  0.870700, Time  0.579539
2021-09-09 00:23:27.829106 : Epoch  3, Batch    763, Loss  0.846573, Average Loss  0.870610, Time  0.457016
2021-09-09 00:23:29.642791 : Epoch  3, Batch    764, Loss  0.873002, Average Loss  0.870572, Time  0.383507
2021-09-09 00:23:31.483671 : Epoch  3, Batch    765, Loss  0.871012, Average Loss  0.870670, Time  0.412090
2021-09-09 00:23:33.287587 : Epoch  3, Batch    766, Loss  0.885400, Average Loss  0.870763, Time  0.389178
2021-09-09 00:23:35.181904 : Epoch  3, Batch    767, Loss  0.860951, Average Loss  0.870742, Time  0.454749
2021-09-09 00:23:37.077183 : Epoch  3, Batch    768, Loss  0.857312, Average Loss  0.870609, Time  0.409855
2021-09-09 00:23:39.066843 : Epoch  3, Batch    769, Loss  0.881887, Average Loss  0.870541, Time  0.553608
2021-09-09 00:23:41.012039 : Epoch  3, Batch    770, Loss  0.861849, Average Loss  0.870625, Time  0.448166
2021-09-09 00:23:42.938019 : Epoch  3, Batch    771, Loss  0.889062, Average Loss  0.870825, Time  0.445061
2021-09-09 00:23:44.897165 : Epoch  3, Batch    772, Loss  0.895466, Average Loss  0.870933, Time  0.489899
2021-09-09 00:23:46.767039 : Epoch  3, Batch    773, Loss  0.874508, Average Loss  0.870956, Time  0.397098
2021-09-09 00:23:48.616379 : Epoch  3, Batch    774, Loss  0.831468, Average Loss  0.870691, Time  0.417228
2021-09-09 00:23:50.442948 : Epoch  3, Batch    775, Loss  0.877822, Average Loss  0.870705, Time  0.408068
2021-09-09 00:23:52.548854 : Epoch  3, Batch    776, Loss  0.851501, Average Loss  0.870560, Time  0.545675
2021-09-09 00:23:54.457902 : Epoch  3, Batch    777, Loss  0.869692, Average Loss  0.870515, Time  0.438396
2021-09-09 00:23:56.398806 : Epoch  3, Batch    778, Loss  0.906060, Average Loss  0.870768, Time  0.453133
2021-09-09 00:28:51.849708 : CheckPoint: Validation Loss  0.00059191, Best Loss  0.00058177
2021-09-09 00:28:53.660542 : Epoch  3, Batch    779, Loss  0.853620, Average Loss  0.870678, Time  0.396417
2021-09-09 00:28:55.493781 : Epoch  3, Batch    780, Loss  0.851419, Average Loss  0.870545, Time  0.414932
2021-09-09 00:28:57.455773 : Epoch  3, Batch    781, Loss  0.878980, Average Loss  0.870674, Time  0.524683
2021-09-09 00:28:59.304065 : Epoch  3, Batch    782, Loss  0.871938, Average Loss  0.870672, Time  0.408257
2021-09-09 00:29:01.141176 : Epoch  3, Batch    783, Loss  0.880437, Average Loss  0.870867, Time  0.403761
2021-09-09 00:29:02.967695 : Epoch  3, Batch    784, Loss  0.896834, Average Loss  0.871048, Time  0.405067
2021-09-09 00:29:04.842851 : Epoch  3, Batch    785, Loss  0.887818, Average Loss  0.871192, Time  0.423090
2021-09-09 00:29:06.676773 : Epoch  3, Batch    786, Loss  0.909027, Average Loss  0.871347, Time  0.416147
2021-09-09 00:29:08.497223 : Epoch  3, Batch    787, Loss  0.862473, Average Loss  0.871385, Time  0.409077
2021-09-09 00:29:10.334218 : Epoch  3, Batch    788, Loss  0.880725, Average Loss  0.871471, Time  0.426488
2021-09-09 00:29:12.169239 : Epoch  3, Batch    789, Loss  0.897587, Average Loss  0.871556, Time  0.413872
2021-09-09 00:29:14.106777 : Epoch  3, Batch    790, Loss  0.867068, Average Loss  0.871385, Time  0.506759
2021-09-09 00:29:15.929774 : Epoch  3, Batch    791, Loss  0.847657, Average Loss  0.871383, Time  0.407522
2021-09-09 00:29:17.794778 : Epoch  3, Batch    792, Loss  0.875237, Average Loss  0.871318, Time  0.436846
2021-09-09 00:29:19.740771 : Epoch  3, Batch    793, Loss  0.852361, Average Loss  0.871487, Time  0.413459
2021-09-09 00:29:21.623830 : Epoch  3, Batch    794, Loss  0.878810, Average Loss  0.871500, Time  0.456368
2021-09-09 00:29:23.515785 : Epoch  3, Batch    795, Loss  0.859171, Average Loss  0.871472, Time  0.432393
2021-09-09 00:29:25.417820 : Epoch  3, Batch    796, Loss  0.872830, Average Loss  0.871364, Time  0.441036
2021-09-09 00:29:27.345873 : Epoch  3, Batch    797, Loss  0.881792, Average Loss  0.871377, Time  0.472840
2021-09-09 00:29:29.233892 : Epoch  3, Batch    798, Loss  0.852321, Average Loss  0.871306, Time  0.414117
2021-09-09 00:29:31.325405 : Epoch  3, Batch    799, Loss  0.847236, Average Loss  0.871315, Time  0.600089
2021-09-09 00:29:33.237925 : Epoch  3, Batch    800, Loss  0.854099, Average Loss  0.871203, Time  0.446860
2021-09-09 00:29:35.190169 : Epoch  3, Batch    801, Loss  0.876097, Average Loss  0.871351, Time  0.487139
2021-09-09 00:29:37.022779 : Epoch  3, Batch    802, Loss  0.871091, Average Loss  0.871396, Time  0.404187
2021-09-09 00:29:38.851777 : Epoch  3, Batch    803, Loss  0.878743, Average Loss  0.871515, Time  0.409499
2021-09-09 00:29:40.780826 : Epoch  3, Batch    804, Loss  0.844865, Average Loss  0.871379, Time  0.451262
2021-09-09 00:29:42.703895 : Epoch  3, Batch    805, Loss  0.852904, Average Loss  0.871298, Time  0.457367
2021-09-09 00:29:44.610784 : Epoch  3, Batch    806, Loss  0.885105, Average Loss  0.871414, Time  0.448037
2021-09-09 00:29:46.542151 : Epoch  3, Batch    807, Loss  0.886163, Average Loss  0.871438, Time  0.468083
2021-09-09 00:29:48.610595 : Epoch  3, Batch    808, Loss  0.883967, Average Loss  0.871396, Time  0.575331
2021-09-09 00:29:50.508043 : Epoch  3, Batch    809, Loss  0.844763, Average Loss  0.871177, Time  0.444546
2021-09-09 00:29:52.444952 : Epoch  3, Batch    810, Loss  0.849469, Average Loss  0.871080, Time  0.445194
2021-09-09 00:29:54.360914 : Epoch  3, Batch    811, Loss  0.863098, Average Loss  0.871118, Time  0.446070
2021-09-09 00:29:56.273782 : Epoch  3, Batch    812, Loss  0.855222, Average Loss  0.871019, Time  0.442238
2021-09-09 00:29:58.205556 : Epoch  3, Batch    813, Loss  0.900663, Average Loss  0.871155, Time  0.498796
2021-09-09 00:30:00.101785 : Epoch  3, Batch    814, Loss  0.877115, Average Loss  0.871268, Time  0.426699
2021-09-09 00:30:01.921827 : Epoch  3, Batch    815, Loss  0.873167, Average Loss  0.871248, Time  0.404531
2021-09-09 00:30:03.784821 : Epoch  3, Batch    816, Loss  0.893997, Average Loss  0.871373, Time  0.410202
2021-09-09 00:30:05.620035 : Epoch  3, Batch    817, Loss  0.844630, Average Loss  0.871095, Time  0.419925
2021-09-09 00:30:07.632832 : Epoch  3, Batch    818, Loss  0.862446, Average Loss  0.870886, Time  0.525070
2021-09-09 00:30:09.440190 : Epoch  3, Batch    819, Loss  0.885804, Average Loss  0.870835, Time  0.384928
2021-09-09 00:30:11.250820 : Epoch  3, Batch    820, Loss  0.856667, Average Loss  0.870704, Time  0.396281
2021-09-09 00:30:13.147331 : Epoch  3, Batch    821, Loss  0.846012, Average Loss  0.870603, Time  0.413264
2021-09-09 00:30:14.965355 : Epoch  3, Batch    822, Loss  0.848808, Average Loss  0.870426, Time  0.393416
2021-09-09 00:30:16.994035 : Epoch  3, Batch    823, Loss  0.900335, Average Loss  0.870500, Time  0.556645
2021-09-09 00:30:18.893807 : Epoch  3, Batch    824, Loss  0.900207, Average Loss  0.870723, Time  0.430603
2021-09-09 00:30:20.790337 : Epoch  3, Batch    825, Loss  0.857404, Average Loss  0.870622, Time  0.432524
2021-09-09 00:30:22.694666 : Epoch  3, Batch    826, Loss  0.894223, Average Loss  0.870629, Time  0.410409
2021-09-09 00:30:24.601815 : Epoch  3, Batch    827, Loss  0.852832, Average Loss  0.870669, Time  0.428765
2021-09-09 00:30:26.606299 : Epoch  3, Batch    828, Loss  0.853341, Average Loss  0.870587, Time  0.528858
2021-09-09 00:30:28.521841 : Epoch  3, Batch    829, Loss  0.885212, Average Loss  0.870616, Time  0.432489
2021-09-09 00:30:30.444535 : Epoch  3, Batch    830, Loss  0.866577, Average Loss  0.870522, Time  0.465302
2021-09-09 00:30:32.365290 : Epoch  3, Batch    831, Loss  0.882622, Average Loss  0.870719, Time  0.448278
2021-09-09 00:30:34.273501 : Epoch  3, Batch    832, Loss  0.881351, Average Loss  0.870936, Time  0.447304
2021-09-09 00:30:36.313815 : Epoch  3, Batch    833, Loss  0.868343, Average Loss  0.870927, Time  0.529719
2021-09-09 00:30:38.238374 : Epoch  3, Batch    834, Loss  0.853031, Average Loss  0.870780, Time  0.439184
2021-09-09 00:30:40.182009 : Epoch  3, Batch    835, Loss  0.887979, Average Loss  0.870884, Time  0.455369
2021-09-09 00:30:42.099788 : Epoch  3, Batch    836, Loss  0.899921, Average Loss  0.870888, Time  0.465097
2021-09-09 00:30:43.951178 : Epoch  3, Batch    837, Loss  0.867384, Average Loss  0.870866, Time  0.429155
2021-09-09 00:30:45.786973 : Epoch  3, Batch    838, Loss  0.868651, Average Loss  0.870840, Time  0.409677
2021-09-09 00:30:47.663775 : Epoch  3, Batch    839, Loss  0.848038, Average Loss  0.870761, Time  0.433424
2021-09-09 00:30:49.496781 : Epoch  3, Batch    840, Loss  0.907466, Average Loss  0.870824, Time  0.392026
2021-09-09 00:30:51.337995 : Epoch  3, Batch    841, Loss  0.862708, Average Loss  0.870722, Time  0.425920
2021-09-09 00:30:53.313838 : Epoch  3, Batch    842, Loss  0.862181, Average Loss  0.870481, Time  0.491353
2021-09-09 00:30:55.127772 : Epoch  3, Batch    843, Loss  0.882599, Average Loss  0.870517, Time  0.376799
2021-09-09 00:30:57.012898 : Epoch  3, Batch    844, Loss  0.887726, Average Loss  0.870737, Time  0.408143
2021-09-09 00:30:58.861819 : Epoch  3, Batch    845, Loss  0.896983, Average Loss  0.870878, Time  0.417349
2021-09-09 00:31:00.696798 : Epoch  3, Batch    846, Loss  0.879280, Average Loss  0.870906, Time  0.410028
2021-09-09 00:31:02.552777 : Epoch  3, Batch    847, Loss  0.848066, Average Loss  0.870907, Time  0.417558
2021-09-09 00:31:04.404774 : Epoch  3, Batch    848, Loss  0.902944, Average Loss  0.870922, Time  0.427283
2021-09-09 00:31:06.276776 : Epoch  3, Batch    849, Loss  0.853298, Average Loss  0.870986, Time  0.430824
2021-09-09 00:31:08.084555 : Epoch  3, Batch    850, Loss  0.875837, Average Loss  0.871064, Time  0.384980
2021-09-09 00:31:09.970276 : Epoch  3, Batch    851, Loss  0.899430, Average Loss  0.871246, Time  0.408497
2021-09-09 00:31:11.781698 : Epoch  3, Batch    852, Loss  0.832689, Average Loss  0.871128, Time  0.389362
2021-09-09 00:31:13.743558 : Epoch  3, Batch    853, Loss  0.849860, Average Loss  0.871014, Time  0.536127
2021-09-09 00:31:15.546150 : Epoch  3, Batch    854, Loss  0.873697, Average Loss  0.871049, Time  0.392368
2021-09-09 00:31:17.432660 : Epoch  3, Batch    855, Loss  0.890992, Average Loss  0.871134, Time  0.417296
2021-09-09 00:31:19.273773 : Epoch  3, Batch    856, Loss  0.872570, Average Loss  0.871215, Time  0.407262
2021-09-09 00:31:21.081874 : Epoch  3, Batch    857, Loss  0.858416, Average Loss  0.871055, Time  0.383794
2021-09-09 00:31:22.951973 : Epoch  3, Batch    858, Loss  0.873624, Average Loss  0.871135, Time  0.410052
2021-09-09 00:31:24.772269 : Epoch  3, Batch    859, Loss  0.880737, Average Loss  0.871246, Time  0.385059
2021-09-09 00:31:26.759264 : Epoch  3, Batch    860, Loss  0.885614, Average Loss  0.871268, Time  0.562001
2021-09-09 00:31:28.591813 : Epoch  3, Batch    861, Loss  0.853610, Average Loss  0.871111, Time  0.416003
2021-09-09 00:31:30.427299 : Epoch  3, Batch    862, Loss  0.874912, Average Loss  0.871046, Time  0.407168
2021-09-09 00:31:32.271118 : Epoch  3, Batch    863, Loss  0.875385, Average Loss  0.871202, Time  0.405160
2021-09-09 00:31:34.124512 : Epoch  3, Batch    864, Loss  0.892030, Average Loss  0.871254, Time  0.421057
2021-09-09 00:31:36.038776 : Epoch  3, Batch    865, Loss  0.882633, Average Loss  0.871352, Time  0.488797
2021-09-09 00:31:37.860680 : Epoch  3, Batch    866, Loss  0.819449, Average Loss  0.871102, Time  0.393972
2021-09-09 00:31:39.682094 : Epoch  3, Batch    867, Loss  0.851606, Average Loss  0.870862, Time  0.385442
2021-09-09 00:31:41.611780 : Epoch  3, Batch    868, Loss  0.879389, Average Loss  0.870915, Time  0.481260
2021-09-09 00:31:43.447316 : Epoch  3, Batch    869, Loss  0.827345, Average Loss  0.870790, Time  0.413567
2021-09-09 00:31:45.441824 : Epoch  3, Batch    870, Loss  0.844062, Average Loss  0.870548, Time  0.565991
2021-09-09 00:31:47.379825 : Epoch  3, Batch    871, Loss  0.859124, Average Loss  0.870369, Time  0.506698
2021-09-09 00:31:49.219871 : Epoch  3, Batch    872, Loss  0.858945, Average Loss  0.870337, Time  0.398397
2021-09-09 00:31:51.072850 : Epoch  3, Batch    873, Loss  0.897330, Average Loss  0.870482, Time  0.428583
2021-09-09 00:31:52.889024 : Epoch  3, Batch    874, Loss  0.874428, Average Loss  0.870527, Time  0.382034
2021-09-09 00:31:54.797286 : Epoch  3, Batch    875, Loss  0.858958, Average Loss  0.870372, Time  0.472135
2021-09-09 00:31:56.631999 : Epoch  3, Batch    876, Loss  0.900546, Average Loss  0.870481, Time  0.400227
2021-09-09 00:31:58.461855 : Epoch  3, Batch    877, Loss  0.882091, Average Loss  0.870565, Time  0.407113
2021-09-09 00:32:00.304813 : Epoch  3, Batch    878, Loss  0.845751, Average Loss  0.870482, Time  0.411606
2021-09-09 00:36:54.355752 : CheckPoint: Validation Loss  0.00061460, Best Loss  0.00058177
2021-09-09 00:36:56.265146 : Epoch  3, Batch    879, Loss  0.881404, Average Loss  0.870448, Time  0.465827
2021-09-09 00:36:58.114832 : Epoch  3, Batch    880, Loss  0.837565, Average Loss  0.870380, Time  0.429960
2021-09-09 00:36:59.999533 : Epoch  3, Batch    881, Loss  0.882496, Average Loss  0.870326, Time  0.475162
2021-09-09 00:37:01.823781 : Epoch  3, Batch    882, Loss  0.866711, Average Loss  0.870291, Time  0.401417
2021-09-09 00:37:03.655960 : Epoch  3, Batch    883, Loss  0.875692, Average Loss  0.870423, Time  0.414516
2021-09-09 00:37:05.577491 : Epoch  3, Batch    884, Loss  0.863068, Average Loss  0.870370, Time  0.467486
2021-09-09 00:37:07.493829 : Epoch  3, Batch    885, Loss  0.879897, Average Loss  0.870338, Time  0.457618
2021-09-09 00:37:09.501254 : Epoch  3, Batch    886, Loss  0.857430, Average Loss  0.870426, Time  0.521410
2021-09-09 00:37:11.340795 : Epoch  3, Batch    887, Loss  0.882991, Average Loss  0.870495, Time  0.411979
2021-09-09 00:37:13.274221 : Epoch  3, Batch    888, Loss  0.835334, Average Loss  0.870360, Time  0.457507
2021-09-09 00:37:15.197132 : Epoch  3, Batch    889, Loss  0.909851, Average Loss  0.870508, Time  0.466335
2021-09-09 00:37:17.069315 : Epoch  3, Batch    890, Loss  0.873598, Average Loss  0.870544, Time  0.385306
2021-09-09 00:37:18.941771 : Epoch  3, Batch    891, Loss  0.891175, Average Loss  0.870763, Time  0.431302
2021-09-09 00:37:20.806820 : Epoch  3, Batch    892, Loss  0.890692, Average Loss  0.870862, Time  0.412180
2021-09-09 00:37:22.721272 : Epoch  3, Batch    893, Loss  0.882643, Average Loss  0.870955, Time  0.482010
2021-09-09 00:37:24.526359 : Epoch  3, Batch    894, Loss  0.908547, Average Loss  0.871167, Time  0.393581
2021-09-09 00:37:26.377775 : Epoch  3, Batch    895, Loss  0.854043, Average Loss  0.870936, Time  0.390784
2021-09-09 00:37:28.314870 : Epoch  3, Batch    896, Loss  0.846198, Average Loss  0.870881, Time  0.486665
2021-09-09 00:37:30.131034 : Epoch  3, Batch    897, Loss  0.872551, Average Loss  0.870911, Time  0.396024
2021-09-09 00:37:31.995857 : Epoch  3, Batch    898, Loss  0.870264, Average Loss  0.870957, Time  0.397656
2021-09-09 00:37:33.854822 : Epoch  3, Batch    899, Loss  0.864000, Average Loss  0.871137, Time  0.430325
2021-09-09 00:37:35.762219 : Epoch  3, Batch    900, Loss  0.878204, Average Loss  0.871130, Time  0.436439
2021-09-09 00:37:37.703486 : Epoch  3, Batch    901, Loss  0.887283, Average Loss  0.871240, Time  0.484237
2021-09-09 00:37:39.614081 : Epoch  3, Batch    902, Loss  0.886397, Average Loss  0.871362, Time  0.452325
2021-09-09 00:37:41.591403 : Epoch  3, Batch    903, Loss  0.856962, Average Loss  0.871120, Time  0.513503
2021-09-09 00:37:43.420778 : Epoch  3, Batch    904, Loss  0.882294, Average Loss  0.871236, Time  0.403545
2021-09-09 00:37:45.296341 : Epoch  3, Batch    905, Loss  0.833781, Average Loss  0.871176, Time  0.425108
2021-09-09 00:37:47.259195 : Epoch  3, Batch    906, Loss  0.834167, Average Loss  0.870999, Time  0.534900
2021-09-09 00:37:49.080851 : Epoch  3, Batch    907, Loss  0.867526, Average Loss  0.870954, Time  0.390651
2021-09-09 00:37:50.901169 : Epoch  3, Batch    908, Loss  0.892453, Average Loss  0.870896, Time  0.406880
2021-09-09 00:37:52.866781 : Epoch  3, Batch    909, Loss  0.848778, Average Loss  0.870852, Time  0.493689
2021-09-09 00:37:54.765844 : Epoch  3, Batch    910, Loss  0.842472, Average Loss  0.870594, Time  0.424979
2021-09-09 00:37:56.714789 : Epoch  3, Batch    911, Loss  0.853893, Average Loss  0.870513, Time  0.444102
2021-09-09 00:37:58.613226 : Epoch  3, Batch    912, Loss  0.865355, Average Loss  0.870313, Time  0.433567
2021-09-09 00:38:00.536884 : Epoch  3, Batch    913, Loss  0.850749, Average Loss  0.870230, Time  0.464222
2021-09-09 00:38:02.536775 : Epoch  3, Batch    914, Loss  0.889013, Average Loss  0.870287, Time  0.522633
2021-09-09 00:38:04.473836 : Epoch  3, Batch    915, Loss  0.829863, Average Loss  0.870029, Time  0.470763
2021-09-09 00:38:06.405780 : Epoch  3, Batch    916, Loss  0.871584, Average Loss  0.870100, Time  0.437545
2021-09-09 00:38:08.348779 : Epoch  3, Batch    917, Loss  0.896930, Average Loss  0.870120, Time  0.465921
2021-09-09 00:38:10.235847 : Epoch  3, Batch    918, Loss  0.874429, Average Loss  0.870218, Time  0.420462
2021-09-09 00:38:12.073020 : Epoch  3, Batch    919, Loss  0.875278, Average Loss  0.870152, Time  0.413245
2021-09-09 00:38:13.932775 : Epoch  3, Batch    920, Loss  0.862319, Average Loss  0.870108, Time  0.423873
2021-09-09 00:38:15.938071 : Epoch  3, Batch    921, Loss  0.850332, Average Loss  0.870064, Time  0.542188
2021-09-09 00:38:17.853829 : Epoch  3, Batch    922, Loss  0.850614, Average Loss  0.869860, Time  0.450986
2021-09-09 00:38:19.842397 : Epoch  3, Batch    923, Loss  0.870850, Average Loss  0.869757, Time  0.498937
2021-09-09 00:38:21.741196 : Epoch  3, Batch    924, Loss  0.881425, Average Loss  0.869850, Time  0.436690
2021-09-09 00:38:23.643011 : Epoch  3, Batch    925, Loss  0.881039, Average Loss  0.869778, Time  0.445701
2021-09-09 00:38:25.488825 : Epoch  3, Batch    926, Loss  0.873430, Average Loss  0.869846, Time  0.412489
2021-09-09 00:38:27.324624 : Epoch  3, Batch    927, Loss  0.860970, Average Loss  0.869823, Time  0.414914
2021-09-09 00:38:29.364641 : Epoch  3, Batch    928, Loss  0.841510, Average Loss  0.869687, Time  0.588064
2021-09-09 00:38:31.203034 : Epoch  3, Batch    929, Loss  0.872763, Average Loss  0.869912, Time  0.423630
2021-09-09 00:38:33.050214 : Epoch  3, Batch    930, Loss  0.856008, Average Loss  0.869902, Time  0.425255
2021-09-09 00:38:34.986487 : Epoch  3, Batch    931, Loss  0.872625, Average Loss  0.869836, Time  0.445627
2021-09-09 00:38:36.881775 : Epoch  3, Batch    932, Loss  0.865270, Average Loss  0.869883, Time  0.421091
2021-09-09 00:38:38.871943 : Epoch  3, Batch    933, Loss  0.850490, Average Loss  0.869859, Time  0.531116
2021-09-09 00:38:40.701134 : Epoch  3, Batch    934, Loss  0.894472, Average Loss  0.869903, Time  0.413727
2021-09-09 00:38:42.631150 : Epoch  3, Batch    935, Loss  0.879455, Average Loss  0.869961, Time  0.503760
2021-09-09 00:38:44.438449 : Epoch  3, Batch    936, Loss  0.846393, Average Loss  0.869896, Time  0.402359
2021-09-09 00:38:46.413250 : Epoch  3, Batch    937, Loss  0.873505, Average Loss  0.869944, Time  0.440667
2021-09-09 00:38:48.350897 : Epoch  3, Batch    938, Loss  0.871847, Average Loss  0.869921, Time  0.496335
2021-09-09 00:38:50.205427 : Epoch  3, Batch    939, Loss  0.867597, Average Loss  0.869892, Time  0.419619
2021-09-09 00:38:52.084662 : Epoch  3, Batch    940, Loss  0.866917, Average Loss  0.869765, Time  0.458594
2021-09-09 00:38:54.029830 : Epoch  3, Batch    941, Loss  0.901507, Average Loss  0.869903, Time  0.477363
2021-09-09 00:38:55.879532 : Epoch  3, Batch    942, Loss  0.849526, Average Loss  0.869804, Time  0.418751
2021-09-09 00:38:57.718930 : Epoch  3, Batch    943, Loss  0.890668, Average Loss  0.869922, Time  0.405469
2021-09-09 00:38:59.580669 : Epoch  3, Batch    944, Loss  0.884377, Average Loss  0.870012, Time  0.445936
2021-09-09 00:39:01.446733 : Epoch  3, Batch    945, Loss  0.894255, Average Loss  0.870139, Time  0.417884
2021-09-09 00:39:03.273712 : Epoch  3, Batch    946, Loss  0.845675, Average Loss  0.870021, Time  0.405610
2021-09-09 00:39:05.189848 : Epoch  3, Batch    947, Loss  0.864916, Average Loss  0.870087, Time  0.506045
2021-09-09 00:39:07.130109 : Epoch  3, Batch    948, Loss  0.844045, Average Loss  0.870024, Time  0.440060
2021-09-09 00:39:09.057813 : Epoch  3, Batch    949, Loss  0.907675, Average Loss  0.870165, Time  0.464838
2021-09-09 00:39:11.065022 : Epoch  3, Batch    950, Loss  0.864582, Average Loss  0.870199, Time  0.531776
2021-09-09 00:39:12.894383 : Epoch  3, Batch    951, Loss  0.860864, Average Loss  0.870064, Time  0.412938
2021-09-09 00:39:14.800113 : Epoch  3, Batch    952, Loss  0.862440, Average Loss  0.869920, Time  0.431621
2021-09-09 00:39:16.649179 : Epoch  3, Batch    953, Loss  0.856185, Average Loss  0.869768, Time  0.428667
2021-09-09 00:39:18.494405 : Epoch  3, Batch    954, Loss  0.892096, Average Loss  0.869860, Time  0.419218
2021-09-09 00:39:20.344824 : Epoch  3, Batch    955, Loss  0.889904, Average Loss  0.870017, Time  0.401886
2021-09-09 00:39:22.215248 : Epoch  3, Batch    956, Loss  0.867041, Average Loss  0.870125, Time  0.445735
2021-09-09 00:39:24.225530 : Epoch  3, Batch    957, Loss  0.876548, Average Loss  0.870113, Time  0.546943
2021-09-09 00:39:26.091098 : Epoch  3, Batch    958, Loss  0.880376, Average Loss  0.869980, Time  0.410413
2021-09-09 00:39:27.941910 : Epoch  3, Batch    959, Loss  0.834400, Average Loss  0.869926, Time  0.421271
2021-09-09 00:39:29.796167 : Epoch  3, Batch    960, Loss  0.865807, Average Loss  0.869904, Time  0.388472
2021-09-09 00:39:31.622165 : Epoch  3, Batch    961, Loss  0.846380, Average Loss  0.869909, Time  0.406205
2021-09-09 00:39:33.579163 : Epoch  3, Batch    962, Loss  0.838719, Average Loss  0.869735, Time  0.541221
2021-09-09 00:39:35.444188 : Epoch  3, Batch    963, Loss  0.874307, Average Loss  0.869873, Time  0.411263
2021-09-09 00:39:37.341025 : Epoch  3, Batch    964, Loss  0.863033, Average Loss  0.869824, Time  0.449514
2021-09-09 00:39:39.234933 : Epoch  3, Batch    965, Loss  0.876665, Average Loss  0.869852, Time  0.393089
2021-09-09 00:39:41.046008 : Epoch  3, Batch    966, Loss  0.906342, Average Loss  0.869957, Time  0.384098
2021-09-09 00:39:42.990472 : Epoch  3, Batch    967, Loss  0.871715, Average Loss  0.870010, Time  0.517583
2021-09-09 00:39:44.814391 : Epoch  3, Batch    968, Loss  0.886146, Average Loss  0.870155, Time  0.401432
2021-09-09 00:39:46.673176 : Epoch  3, Batch    969, Loss  0.869479, Average Loss  0.870092, Time  0.444078
2021-09-09 00:39:48.499913 : Epoch  3, Batch    970, Loss  0.880767, Average Loss  0.870187, Time  0.410742
2021-09-09 00:39:50.369775 : Epoch  3, Batch    971, Loss  0.896436, Average Loss  0.870224, Time  0.434056
2021-09-09 00:39:52.324101 : Epoch  3, Batch    972, Loss  0.890571, Average Loss  0.870199, Time  0.529530
2021-09-09 00:39:54.267830 : Epoch  3, Batch    973, Loss  0.850505, Average Loss  0.870079, Time  0.477998
2021-09-09 00:39:56.118776 : Epoch  3, Batch    974, Loss  0.869822, Average Loss  0.870271, Time  0.418167
2021-09-09 00:39:57.966389 : Epoch  3, Batch    975, Loss  0.869909, Average Loss  0.870232, Time  0.403329
2021-09-09 00:39:59.827137 : Epoch  3, Batch    976, Loss  0.852774, Average Loss  0.870238, Time  0.418593
2021-09-09 00:40:01.668821 : Epoch  3, Batch    977, Loss  0.877535, Average Loss  0.870277, Time  0.401984
2021-09-09 00:40:03.502423 : Epoch  3, Batch    978, Loss  0.860297, Average Loss  0.870048, Time  0.418814
2021-09-09 00:45:00.999717 : CheckPoint: Validation Loss  0.00061663, Best Loss  0.00058177
2021-09-09 00:45:02.814405 : Epoch  3, Batch    979, Loss  0.873413, Average Loss  0.870147, Time  0.386714
2021-09-09 00:45:04.767802 : Epoch  3, Batch    980, Loss  0.878285, Average Loss  0.870282, Time  0.530617
2021-09-09 00:45:06.606779 : Epoch  3, Batch    981, Loss  0.885055, Average Loss  0.870312, Time  0.406910
2021-09-09 00:45:08.446788 : Epoch  3, Batch    982, Loss  0.912189, Average Loss  0.870513, Time  0.406198
2021-09-09 00:45:10.406823 : Epoch  3, Batch    983, Loss  0.871580, Average Loss  0.870469, Time  0.532540
2021-09-09 00:45:12.293782 : Epoch  3, Batch    984, Loss  0.831172, Average Loss  0.870141, Time  0.418924
2021-09-09 00:45:14.256776 : Epoch  3, Batch    985, Loss  0.876487, Average Loss  0.870084, Time  0.481843
2021-09-09 00:45:16.173808 : Epoch  3, Batch    986, Loss  0.850842, Average Loss  0.869793, Time  0.445577
2021-09-09 00:45:18.104823 : Epoch  3, Batch    987, Loss  0.864653, Average Loss  0.869804, Time  0.395970
2021-09-09 00:45:19.950194 : Epoch  3, Batch    988, Loss  0.849016, Average Loss  0.869646, Time  0.422550
2021-09-09 00:45:21.787776 : Epoch  3, Batch    989, Loss  0.874116, Average Loss  0.869528, Time  0.388363
2021-09-09 00:45:23.634877 : Epoch  3, Batch    990, Loss  0.817344, Average Loss  0.869280, Time  0.429405
2021-09-09 00:45:25.448122 : Epoch  3, Batch    991, Loss  0.867505, Average Loss  0.869379, Time  0.387796
2021-09-09 00:45:27.479846 : Epoch  3, Batch    992, Loss  0.863826, Average Loss  0.869322, Time  0.525803
2021-09-09 00:45:29.415037 : Epoch  3, Batch    993, Loss  0.902458, Average Loss  0.869572, Time  0.469004
2021-09-09 00:45:31.351953 : Epoch  3, Batch    994, Loss  0.868578, Average Loss  0.869521, Time  0.459095
2021-09-09 00:45:33.386783 : Epoch  3, Batch    995, Loss  0.875850, Average Loss  0.869604, Time  0.550064
2021-09-09 00:45:35.335546 : Epoch  3, Batch    996, Loss  0.866296, Average Loss  0.869572, Time  0.461907
2021-09-09 00:45:37.262854 : Epoch  3, Batch    997, Loss  0.867369, Average Loss  0.869500, Time  0.451330
2021-09-09 00:45:39.201024 : Epoch  3, Batch    998, Loss  0.865256, Average Loss  0.869564, Time  0.461409
2021-09-09 00:45:41.070821 : Epoch  3, Batch    999, Loss  0.841336, Average Loss  0.869535, Time  0.427355
2021-09-09 00:45:43.026421 : Epoch  3, Batch   1000, Loss  0.815090, Average Loss  0.869340, Time  0.523999
2021-09-09 00:45:44.939877 : Epoch  3, Batch   1001, Loss  0.878539, Average Loss  0.869352, Time  0.432692
2021-09-09 00:45:46.763049 : Epoch  3, Batch   1002, Loss  0.887404, Average Loss  0.869434, Time  0.390992
2021-09-09 00:45:48.605525 : Epoch  3, Batch   1003, Loss  0.839168, Average Loss  0.869236, Time  0.398949
2021-09-09 00:45:50.579253 : Epoch  3, Batch   1004, Loss  0.878383, Average Loss  0.869403, Time  0.469505
2021-09-09 00:45:52.628870 : Epoch  3, Batch   1005, Loss  0.848450, Average Loss  0.869381, Time  0.542271
2021-09-09 00:45:54.588566 : Epoch  3, Batch   1006, Loss  0.862293, Average Loss  0.869267, Time  0.491588
2021-09-09 00:45:56.567335 : Epoch  3, Batch   1007, Loss  0.857965, Average Loss  0.869126, Time  0.423454
2021-09-09 00:45:58.436857 : Epoch  3, Batch   1008, Loss  0.907296, Average Loss  0.869243, Time  0.434602
2021-09-09 00:46:00.287897 : Epoch  3, Batch   1009, Loss  0.860884, Average Loss  0.869323, Time  0.408449
2021-09-09 00:46:02.225817 : Epoch  3, Batch   1010, Loss  0.867597, Average Loss  0.869414, Time  0.506099
2021-09-09 00:46:04.089802 : Epoch  3, Batch   1011, Loss  0.865057, Average Loss  0.869424, Time  0.433239
2021-09-09 00:46:05.938546 : Epoch  3, Batch   1012, Loss  0.888075, Average Loss  0.869588, Time  0.385606
2021-09-09 00:46:07.760840 : Epoch  3, Batch   1013, Loss  0.884419, Average Loss  0.869507, Time  0.391440
2021-09-09 00:46:09.594830 : Epoch  3, Batch   1014, Loss  0.892103, Average Loss  0.869582, Time  0.408449
2021-09-09 00:46:11.461049 : Epoch  3, Batch   1015, Loss  0.878343, Average Loss  0.869608, Time  0.432125
2021-09-09 00:46:13.390819 : Epoch  3, Batch   1016, Loss  0.892121, Average Loss  0.869598, Time  0.415229
2021-09-09 00:46:15.338105 : Epoch  3, Batch   1017, Loss  0.842399, Average Loss  0.869587, Time  0.510390
2021-09-09 00:46:17.276904 : Epoch  3, Batch   1018, Loss  0.877571, Average Loss  0.869663, Time  0.462108
2021-09-09 00:46:19.187281 : Epoch  3, Batch   1019, Loss  0.869459, Average Loss  0.869581, Time  0.409345
2021-09-09 00:46:21.174754 : Epoch  3, Batch   1020, Loss  0.863777, Average Loss  0.869616, Time  0.526155
2021-09-09 00:46:23.057177 : Epoch  3, Batch   1021, Loss  0.850918, Average Loss  0.869641, Time  0.450681
2021-09-09 00:46:25.020110 : Epoch  3, Batch   1022, Loss  0.868388, Average Loss  0.869739, Time  0.466936
2021-09-09 00:46:27.058957 : Epoch  3, Batch   1023, Loss  0.844210, Average Loss  0.869458, Time  0.575557
2021-09-09 00:46:28.982676 : Epoch  3, Batch   1024, Loss  0.870727, Average Loss  0.869311, Time  0.438532
2021-09-09 00:46:30.870465 : Epoch  3, Batch   1025, Loss  0.864005, Average Loss  0.869344, Time  0.433482
2021-09-09 00:46:32.791659 : Epoch  3, Batch   1026, Loss  0.894873, Average Loss  0.869347, Time  0.438014
2021-09-09 00:46:34.728982 : Epoch  3, Batch   1027, Loss  0.884379, Average Loss  0.869505, Time  0.439935
2021-09-09 00:46:36.652778 : Epoch  3, Batch   1028, Loss  0.895168, Average Loss  0.869714, Time  0.448295
2021-09-09 00:46:38.501957 : Epoch  3, Batch   1029, Loss  0.861082, Average Loss  0.869593, Time  0.429733
2021-09-09 00:46:40.443452 : Epoch  3, Batch   1030, Loss  0.889627, Average Loss  0.869709, Time  0.506074
2021-09-09 00:46:42.359859 : Epoch  3, Batch   1031, Loss  0.877753, Average Loss  0.869684, Time  0.382212
2021-09-09 00:46:44.191164 : Epoch  3, Batch   1032, Loss  0.873094, Average Loss  0.869643, Time  0.405524
2021-09-09 00:46:46.038015 : Epoch  3, Batch   1033, Loss  0.876033, Average Loss  0.869681, Time  0.412336
2021-09-09 00:46:47.867077 : Epoch  3, Batch   1034, Loss  0.866560, Average Loss  0.869749, Time  0.392638
2021-09-09 00:46:49.784880 : Epoch  3, Batch   1035, Loss  0.873941, Average Loss  0.869679, Time  0.493379
2021-09-09 00:46:51.709145 : Epoch  3, Batch   1036, Loss  0.848292, Average Loss  0.869421, Time  0.457952
2021-09-09 00:46:53.640906 : Epoch  3, Batch   1037, Loss  0.893893, Average Loss  0.869553, Time  0.439996
2021-09-09 00:46:55.666511 : Epoch  3, Batch   1038, Loss  0.852191, Average Loss  0.869471, Time  0.543664
2021-09-09 00:46:57.586015 : Epoch  3, Batch   1039, Loss  0.863794, Average Loss  0.869550, Time  0.444322
2021-09-09 00:46:59.507840 : Epoch  3, Batch   1040, Loss  0.859029, Average Loss  0.869308, Time  0.453494
2021-09-09 00:47:01.443028 : Epoch  3, Batch   1041, Loss  0.905393, Average Loss  0.869521, Time  0.461269
2021-09-09 00:47:03.446971 : Epoch  3, Batch   1042, Loss  0.893756, Average Loss  0.869679, Time  0.455617
2021-09-09 00:47:05.481129 : Epoch  3, Batch   1043, Loss  0.859175, Average Loss  0.869562, Time  0.546233
2021-09-09 00:47:07.372479 : Epoch  3, Batch   1044, Loss  0.849674, Average Loss  0.869371, Time  0.429289
2021-09-09 00:47:09.190404 : Epoch  3, Batch   1045, Loss  0.847854, Average Loss  0.869126, Time  0.397827
2021-09-09 00:47:11.057849 : Epoch  3, Batch   1046, Loss  0.863269, Average Loss  0.869046, Time  0.406790
2021-09-09 00:47:13.003133 : Epoch  3, Batch   1047, Loss  0.869360, Average Loss  0.869152, Time  0.461582
2021-09-09 00:47:14.919863 : Epoch  3, Batch   1048, Loss  0.862247, Average Loss  0.868949, Time  0.454353
2021-09-09 00:47:16.808824 : Epoch  3, Batch   1049, Loss  0.856369, Average Loss  0.868964, Time  0.430485
2021-09-09 00:47:18.724759 : Epoch  3, Batch   1050, Loss  0.901453, Average Loss  0.869092, Time  0.489535
2021-09-09 00:47:20.631336 : Epoch  3, Batch   1051, Loss  0.887856, Average Loss  0.869034, Time  0.435502
2021-09-09 00:47:22.468765 : Epoch  3, Batch   1052, Loss  0.856439, Average Loss  0.869153, Time  0.392968
2021-09-09 00:47:24.554910 : Epoch  3, Batch   1053, Loss  0.851032, Average Loss  0.869159, Time  0.531382
2021-09-09 00:47:26.495581 : Epoch  3, Batch   1054, Loss  0.856743, Average Loss  0.869074, Time  0.427037
2021-09-09 00:47:28.322476 : Epoch  3, Batch   1055, Loss  0.875033, Average Loss  0.868994, Time  0.385918
2021-09-09 00:47:30.147820 : Epoch  3, Batch   1056, Loss  0.890127, Average Loss  0.869082, Time  0.394204
2021-09-09 00:47:32.021931 : Epoch  3, Batch   1057, Loss  0.866302, Average Loss  0.869122, Time  0.420864
2021-09-09 00:47:33.930170 : Epoch  3, Batch   1058, Loss  0.881335, Average Loss  0.869160, Time  0.409889
2021-09-09 00:47:35.749225 : Epoch  3, Batch   1059, Loss  0.870368, Average Loss  0.869108, Time  0.398067
2021-09-09 00:47:37.660871 : Epoch  3, Batch   1060, Loss  0.838188, Average Loss  0.868871, Time  0.489283
2021-09-09 00:47:39.506779 : Epoch  3, Batch   1061, Loss  0.888920, Average Loss  0.869048, Time  0.407679
2021-09-09 00:47:41.398814 : Epoch  3, Batch   1062, Loss  0.855258, Average Loss  0.868949, Time  0.431704
2021-09-09 00:47:43.326405 : Epoch  3, Batch   1063, Loss  0.842348, Average Loss  0.868784, Time  0.423684
2021-09-09 00:47:45.237013 : Epoch  3, Batch   1064, Loss  0.853003, Average Loss  0.868589, Time  0.427278
2021-09-09 00:47:47.296981 : Epoch  3, Batch   1065, Loss  0.899126, Average Loss  0.868672, Time  0.558066
2021-09-09 00:47:49.223131 : Epoch  3, Batch   1066, Loss  0.855811, Average Loss  0.868853, Time  0.438019
2021-09-09 00:47:51.168366 : Epoch  3, Batch   1067, Loss  0.876661, Average Loss  0.868979, Time  0.464641
2021-09-09 00:47:53.069338 : Epoch  3, Batch   1068, Loss  0.866369, Average Loss  0.868914, Time  0.416293
2021-09-09 00:47:55.496809 : Epoch  3, Batch   1069, Loss  0.901398, Average Loss  0.869284, Time  0.397540
2021-09-09 00:47:57.873340 : Epoch  3, Batch   1070, Loss  0.880051, Average Loss  0.869464, Time  0.398854
2021-09-09 00:48:15.388316 : Epoch  3, Batch   1071, Loss  0.874286, Average Loss  0.869540, Time  0.369216
2021-09-09 00:48:17.172173 : Epoch  3, Batch   1072, Loss  0.853577, Average Loss  0.869513, Time  0.356666
2021-09-09 00:48:19.034019 : Epoch  3, Batch   1073, Loss  0.830471, Average Loss  0.869178, Time  0.433994
2021-09-09 00:48:20.924004 : Epoch  3, Batch   1074, Loss  0.860095, Average Loss  0.869107, Time  0.453479
2021-09-09 00:48:22.789095 : Epoch  3, Batch   1075, Loss  0.861560, Average Loss  0.869120, Time  0.373371
2021-09-09 00:48:24.577247 : Epoch  3, Batch   1076, Loss  0.916008, Average Loss  0.869197, Time  0.356995
2021-09-09 00:48:26.371066 : Epoch  3, Batch   1077, Loss  0.876307, Average Loss  0.869168, Time  0.357086
2021-09-09 00:48:28.332185 : Epoch  3, Batch   1078, Loss  0.875945, Average Loss  0.869319, Time  0.470879
2021-09-09 00:53:20.764711 : CheckPoint: Validation Loss  0.00061955, Best Loss  0.00058177
2021-09-09 00:53:22.616375 : Epoch  3, Batch   1079, Loss  0.904669, Average Loss  0.869435, Time  0.421664
2021-09-09 00:53:24.487784 : Epoch  3, Batch   1080, Loss  0.878955, Average Loss  0.869642, Time  0.400506
2021-09-09 00:53:26.361424 : Epoch  3, Batch   1081, Loss  0.912129, Average Loss  0.869791, Time  0.403158
2021-09-09 00:53:28.245506 : Epoch  3, Batch   1082, Loss  0.855868, Average Loss  0.869736, Time  0.418888
2021-09-09 00:53:30.214798 : Epoch  3, Batch   1083, Loss  0.854471, Average Loss  0.869630, Time  0.499982
2021-09-09 00:53:31.988773 : Epoch  3, Batch   1084, Loss  0.859631, Average Loss  0.869613, Time  0.385536
2021-09-09 00:53:33.772793 : Epoch  3, Batch   1085, Loss  0.861134, Average Loss  0.869519, Time  0.357304
2021-09-09 00:53:35.595840 : Epoch  3, Batch   1086, Loss  0.868989, Average Loss  0.869577, Time  0.393309
2021-09-09 00:53:37.465795 : Epoch  3, Batch   1087, Loss  0.859018, Average Loss  0.869457, Time  0.456620
2021-09-09 00:53:39.248779 : Epoch  3, Batch   1088, Loss  0.856417, Average Loss  0.869563, Time  0.357088
2021-09-09 00:53:41.029839 : Epoch  3, Batch   1089, Loss  0.866790, Average Loss  0.869347, Time  0.358490
2021-09-09 00:53:42.840779 : Epoch  3, Batch   1090, Loss  0.879906, Average Loss  0.869379, Time  0.376684
2021-09-09 00:53:44.816819 : Epoch  3, Batch   1091, Loss  0.841236, Average Loss  0.869129, Time  0.507925
2021-09-09 00:53:46.763809 : Epoch  3, Batch   1092, Loss  0.873511, Average Loss  0.869043, Time  0.482252
2021-09-09 00:53:48.632171 : Epoch  3, Batch   1093, Loss  0.866511, Average Loss  0.868963, Time  0.397113
2021-09-09 00:53:50.497009 : Epoch  3, Batch   1094, Loss  0.849503, Average Loss  0.868667, Time  0.397735
2021-09-09 00:53:52.318833 : Epoch  3, Batch   1095, Loss  0.893822, Average Loss  0.868866, Time  0.389623
2021-09-09 00:53:54.269831 : Epoch  3, Batch   1096, Loss  0.881229, Average Loss  0.869041, Time  0.486077
2021-09-09 00:53:56.211777 : Epoch  3, Batch   1097, Loss  0.866750, Average Loss  0.869012, Time  0.482426
2021-09-09 00:53:58.101059 : Epoch  3, Batch   1098, Loss  0.863941, Average Loss  0.868981, Time  0.405604
2021-09-09 00:53:59.970780 : Epoch  3, Batch   1099, Loss  0.868746, Average Loss  0.869005, Time  0.401086
2021-09-09 00:54:01.836822 : Epoch  3, Batch   1100, Loss  0.888297, Average Loss  0.869055, Time  0.397674
2021-09-09 00:54:03.811675 : Epoch  3, Batch   1101, Loss  0.854799, Average Loss  0.868893, Time  0.488519
2021-09-09 00:54:05.757207 : Epoch  3, Batch   1102, Loss  0.882326, Average Loss  0.868872, Time  0.483269
2021-09-09 00:54:07.642877 : Epoch  3, Batch   1103, Loss  0.875997, Average Loss  0.868967, Time  0.414683
2021-09-09 00:54:09.457776 : Epoch  3, Batch   1104, Loss  0.858329, Average Loss  0.868848, Time  0.358217
2021-09-09 00:54:11.239963 : Epoch  3, Batch   1105, Loss  0.871475, Average Loss  0.869036, Time  0.356565
2021-09-09 00:54:13.104778 : Epoch  3, Batch   1106, Loss  0.860644, Average Loss  0.869168, Time  0.440386
2021-09-09 00:54:14.981775 : Epoch  3, Batch   1107, Loss  0.900095, Average Loss  0.869331, Time  0.452013
2021-09-09 00:54:16.768711 : Epoch  3, Batch   1108, Loss  0.878810, Average Loss  0.869263, Time  0.364623
2021-09-09 00:54:18.649828 : Epoch  3, Batch   1109, Loss  0.876641, Average Loss  0.869402, Time  0.398428
2021-09-09 00:54:20.501190 : Epoch  3, Batch   1110, Loss  0.852129, Average Loss  0.869451, Time  0.396691
2021-09-09 00:54:22.467775 : Epoch  3, Batch   1111, Loss  0.854451, Average Loss  0.869453, Time  0.487383
2021-09-09 00:54:24.424073 : Epoch  3, Batch   1112, Loss  0.860751, Average Loss  0.869430, Time  0.488528
2021-09-09 00:54:26.362110 : Epoch  3, Batch   1113, Loss  0.869278, Average Loss  0.869523, Time  0.473746
2021-09-09 00:54:28.237247 : Epoch  3, Batch   1114, Loss  0.869381, Average Loss  0.869425, Time  0.402098
2021-09-09 00:54:30.122786 : Epoch  3, Batch   1115, Loss  0.853952, Average Loss  0.869545, Time  0.399901
2021-09-09 00:54:31.981189 : Epoch  3, Batch   1116, Loss  0.905809, Average Loss  0.869716, Time  0.401704
2021-09-09 00:54:33.955933 : Epoch  3, Batch   1117, Loss  0.909636, Average Loss  0.869780, Time  0.479542
2021-09-09 00:54:35.813411 : Epoch  3, Batch   1118, Loss  0.848243, Average Loss  0.869649, Time  0.416574
2021-09-09 00:54:37.595391 : Epoch  3, Batch   1119, Loss  0.873385, Average Loss  0.869640, Time  0.356983
2021-09-09 00:54:39.478441 : Epoch  3, Batch   1120, Loss  0.866616, Average Loss  0.869661, Time  0.402826
2021-09-09 00:54:41.412637 : Epoch  3, Batch   1121, Loss  0.853228, Average Loss  0.869676, Time  0.456172
2021-09-09 00:54:43.310856 : Epoch  3, Batch   1122, Loss  0.866637, Average Loss  0.869756, Time  0.456048
2021-09-09 00:54:45.268784 : Epoch  3, Batch   1123, Loss  0.851701, Average Loss  0.869660, Time  0.480620
2021-09-09 00:54:47.137783 : Epoch  3, Batch   1124, Loss  0.863645, Average Loss  0.869571, Time  0.397866
2021-09-09 00:54:49.008915 : Epoch  3, Batch   1125, Loss  0.869164, Average Loss  0.869512, Time  0.398215
2021-09-09 00:54:50.875799 : Epoch  3, Batch   1126, Loss  0.853248, Average Loss  0.869411, Time  0.396637
2021-09-09 00:54:52.838926 : Epoch  3, Batch   1127, Loss  0.875703, Average Loss  0.869484, Time  0.492474
2021-09-09 00:54:54.781218 : Epoch  3, Batch   1128, Loss  0.885049, Average Loss  0.869702, Time  0.478904
2021-09-09 00:54:56.648777 : Epoch  3, Batch   1129, Loss  0.869547, Average Loss  0.869686, Time  0.397296
2021-09-09 00:54:58.532048 : Epoch  3, Batch   1130, Loss  0.865368, Average Loss  0.869733, Time  0.399861
2021-09-09 00:55:00.406211 : Epoch  3, Batch   1131, Loss  0.880282, Average Loss  0.869771, Time  0.396865
2021-09-09 00:55:02.386785 : Epoch  3, Batch   1132, Loss  0.916418, Average Loss  0.870027, Time  0.499262
2021-09-09 00:55:04.322650 : Epoch  3, Batch   1133, Loss  0.867515, Average Loss  0.870112, Time  0.480784
2021-09-09 00:55:06.168437 : Epoch  3, Batch   1134, Loss  0.870695, Average Loss  0.869993, Time  0.377912
2021-09-09 00:55:08.058222 : Epoch  3, Batch   1135, Loss  0.874735, Average Loss  0.869969, Time  0.398703
2021-09-09 00:55:09.926813 : Epoch  3, Batch   1136, Loss  0.850389, Average Loss  0.869989, Time  0.398599
2021-09-09 00:55:11.821153 : Epoch  3, Batch   1137, Loss  0.867516, Average Loss  0.869960, Time  0.450204
2021-09-09 00:55:13.745336 : Epoch  3, Batch   1138, Loss  0.884800, Average Loss  0.870024, Time  0.491560
2021-09-09 00:55:15.669778 : Epoch  3, Batch   1139, Loss  0.880370, Average Loss  0.870088, Time  0.456150
2021-09-09 00:55:17.540910 : Epoch  3, Batch   1140, Loss  0.898639, Average Loss  0.870247, Time  0.402891
2021-09-09 00:55:19.409740 : Epoch  3, Batch   1141, Loss  0.886628, Average Loss  0.870172, Time  0.397203
2021-09-09 00:55:21.288761 : Epoch  3, Batch   1142, Loss  0.860352, Average Loss  0.870226, Time  0.405271
2021-09-09 00:55:23.252657 : Epoch  3, Batch   1143, Loss  0.838405, Average Loss  0.869965, Time  0.486784
2021-09-09 00:55:25.201257 : Epoch  3, Batch   1144, Loss  0.868958, Average Loss  0.869888, Time  0.482034
2021-09-09 00:55:26.993870 : Epoch  3, Batch   1145, Loss  0.892012, Average Loss  0.869877, Time  0.366981
2021-09-09 00:55:28.870781 : Epoch  3, Batch   1146, Loss  0.852700, Average Loss  0.869912, Time  0.399957
2021-09-09 00:55:30.734923 : Epoch  3, Batch   1147, Loss  0.875781, Average Loss  0.869966, Time  0.403222
2021-09-09 00:55:32.691805 : Epoch  3, Batch   1148, Loss  0.887470, Average Loss  0.870183, Time  0.490849
2021-09-09 00:55:34.586776 : Epoch  3, Batch   1149, Loss  0.862649, Average Loss  0.869958, Time  0.450349
2021-09-09 00:55:36.362372 : Epoch  3, Batch   1150, Loss  0.857139, Average Loss  0.869921, Time  0.360578
2021-09-09 00:55:38.141774 : Epoch  3, Batch   1151, Loss  0.864535, Average Loss  0.869939, Time  0.356568
2021-09-09 00:55:39.974163 : Epoch  3, Batch   1152, Loss  0.879600, Average Loss  0.870025, Time  0.397165
2021-09-09 00:55:41.857181 : Epoch  3, Batch   1153, Loss  0.851567, Average Loss  0.870002, Time  0.454166
2021-09-09 00:55:43.620132 : Epoch  3, Batch   1154, Loss  0.858908, Average Loss  0.869836, Time  0.334742
2021-09-09 00:55:45.404065 : Epoch  3, Batch   1155, Loss  0.862905, Average Loss  0.869701, Time  0.359275
2021-09-09 00:55:47.183775 : Epoch  3, Batch   1156, Loss  0.878696, Average Loss  0.869760, Time  0.356894
2021-09-09 00:55:49.068127 : Epoch  3, Batch   1157, Loss  0.858497, Average Loss  0.869669, Time  0.453759
2021-09-09 00:55:50.861835 : Epoch  3, Batch   1158, Loss  0.873555, Average Loss  0.869635, Time  0.372209
2021-09-09 00:55:52.640809 : Epoch  3, Batch   1159, Loss  0.878592, Average Loss  0.869856, Time  0.358613
2021-09-09 00:55:54.424774 : Epoch  3, Batch   1160, Loss  0.864762, Average Loss  0.869851, Time  0.359035
2021-09-09 00:55:56.301959 : Epoch  3, Batch   1161, Loss  0.839199, Average Loss  0.869815, Time  0.451353
2021-09-09 00:55:58.177236 : Epoch  3, Batch   1162, Loss  0.876848, Average Loss  0.870006, Time  0.454191
2021-09-09 00:55:59.961776 : Epoch  3, Batch   1163, Loss  0.861176, Average Loss  0.869940, Time  0.358901
2021-09-09 00:56:01.737160 : Epoch  3, Batch   1164, Loss  0.878319, Average Loss  0.870016, Time  0.357183
2021-09-09 00:56:03.553778 : Epoch  3, Batch   1165, Loss  0.833476, Average Loss  0.869800, Time  0.387672
2021-09-09 00:56:05.435834 : Epoch  3, Batch   1166, Loss  0.871306, Average Loss  0.869625, Time  0.453073
2021-09-09 00:56:07.214174 : Epoch  3, Batch   1167, Loss  0.853545, Average Loss  0.869534, Time  0.351443
2021-09-09 00:56:08.993177 : Epoch  3, Batch   1168, Loss  0.879962, Average Loss  0.869504, Time  0.355959
2021-09-09 00:56:10.775609 : Epoch  3, Batch   1169, Loss  0.879841, Average Loss  0.869555, Time  0.358928
2021-09-09 00:56:12.730653 : Epoch  3, Batch   1170, Loss  0.870662, Average Loss  0.869505, Time  0.496566
2021-09-09 00:56:14.695936 : Epoch  3, Batch   1171, Loss  0.872073, Average Loss  0.869383, Time  0.493230
2021-09-09 00:56:16.596775 : Epoch  3, Batch   1172, Loss  0.884199, Average Loss  0.869351, Time  0.441159
2021-09-09 00:56:18.382212 : Epoch  3, Batch   1173, Loss  0.892370, Average Loss  0.869560, Time  0.360353
2021-09-09 00:56:20.157086 : Epoch  3, Batch   1174, Loss  0.877971, Average Loss  0.869601, Time  0.359120
2021-09-09 00:56:21.996285 : Epoch  3, Batch   1175, Loss  0.858627, Average Loss  0.869545, Time  0.412388
2021-09-09 00:56:23.969772 : Epoch  3, Batch   1176, Loss  0.844565, Average Loss  0.869504, Time  0.484655
2021-09-09 00:56:25.926009 : Epoch  3, Batch   1177, Loss  0.889552, Average Loss  0.869564, Time  0.482391
2021-09-09 00:56:27.788057 : Epoch  3, Batch   1178, Loss  0.875013, Average Loss  0.869637, Time  0.397249
2021-09-09 01:01:20.741732 : CheckPoint: Validation Loss  0.00061190, Best Loss  0.00058177
2021-09-09 01:01:22.520777 : Epoch  3, Batch   1179, Loss  0.867811, Average Loss  0.869609, Time  0.355969
2021-09-09 01:01:24.307221 : Epoch  3, Batch   1180, Loss  0.857305, Average Loss  0.869504, Time  0.367934
2021-09-09 01:01:26.213779 : Epoch  3, Batch   1181, Loss  0.865801, Average Loss  0.869408, Time  0.457653
2021-09-09 01:01:28.073471 : Epoch  3, Batch   1182, Loss  0.893236, Average Loss  0.869313, Time  0.433551
2021-09-09 01:01:30.003991 : Epoch  3, Batch   1183, Loss  0.853379, Average Loss  0.869222, Time  0.402820
2021-09-09 01:01:31.876210 : Epoch  3, Batch   1184, Loss  0.901642, Average Loss  0.869575, Time  0.400713
2021-09-09 01:01:33.788789 : Epoch  3, Batch   1185, Loss  0.867347, Average Loss  0.869529, Time  0.436549
2021-09-09 01:01:35.753335 : Epoch  3, Batch   1186, Loss  0.854430, Average Loss  0.869547, Time  0.503375
2021-09-09 01:01:37.695320 : Epoch  3, Batch   1187, Loss  0.844023, Average Loss  0.869444, Time  0.482589
2021-09-09 01:01:39.482789 : Epoch  3, Batch   1188, Loss  0.869809, Average Loss  0.869548, Time  0.356796
2021-09-09 01:01:41.281211 : Epoch  3, Batch   1189, Loss  0.833419, Average Loss  0.869344, Time  0.368138
2021-09-09 01:01:43.075335 : Epoch  3, Batch   1190, Loss  0.851573, Average Loss  0.869516, Time  0.380940
2021-09-09 01:01:44.952202 : Epoch  3, Batch   1191, Loss  0.842627, Average Loss  0.869391, Time  0.453373
2021-09-09 01:01:46.728127 : Epoch  3, Batch   1192, Loss  0.865519, Average Loss  0.869400, Time  0.356799
2021-09-09 01:01:48.506951 : Epoch  3, Batch   1193, Loss  0.893813, Average Loss  0.869356, Time  0.358914
2021-09-09 01:01:50.296964 : Epoch  3, Batch   1194, Loss  0.893893, Average Loss  0.869483, Time  0.361644
2021-09-09 01:01:52.175891 : Epoch  3, Batch   1195, Loss  0.870580, Average Loss  0.869457, Time  0.454752
2021-09-09 01:01:53.950781 : Epoch  3, Batch   1196, Loss  0.854211, Average Loss  0.869396, Time  0.351994
2021-09-09 01:01:55.742864 : Epoch  3, Batch   1197, Loss  0.859232, Average Loss  0.869355, Time  0.358601
2021-09-09 01:01:57.528597 : Epoch  3, Batch   1198, Loss  0.864426, Average Loss  0.869351, Time  0.357415
2021-09-09 01:01:59.407818 : Epoch  3, Batch   1199, Loss  0.883557, Average Loss  0.869562, Time  0.456951
2021-09-09 01:02:01.283160 : Epoch  3, Batch   1200, Loss  0.843386, Average Loss  0.869704, Time  0.451248
2021-09-09 01:02:03.068809 : Epoch  3, Batch   1201, Loss  0.827103, Average Loss  0.869447, Time  0.362540
2021-09-09 01:02:04.872942 : Epoch  3, Batch   1202, Loss  0.853738, Average Loss  0.869278, Time  0.356518
2021-09-09 01:02:06.688293 : Epoch  3, Batch   1203, Loss  0.866764, Average Loss  0.869416, Time  0.399434
2021-09-09 01:02:08.646856 : Epoch  3, Batch   1204, Loss  0.826851, Average Loss  0.869159, Time  0.493217
2021-09-09 01:02:10.600778 : Epoch  3, Batch   1205, Loss  0.875578, Average Loss  0.869294, Time  0.479811
2021-09-09 01:02:12.464259 : Epoch  3, Batch   1206, Loss  0.878663, Average Loss  0.869376, Time  0.397797
2021-09-09 01:02:14.342440 : Epoch  3, Batch   1207, Loss  0.868918, Average Loss  0.869431, Time  0.399480
2021-09-09 01:02:16.200885 : Epoch  3, Batch   1208, Loss  0.845983, Average Loss  0.869124, Time  0.396942
2021-09-09 01:02:18.153228 : Epoch  3, Batch   1209, Loss  0.892206, Average Loss  0.869281, Time  0.489402
2021-09-09 01:02:20.105784 : Epoch  3, Batch   1210, Loss  0.874521, Average Loss  0.869316, Time  0.482372
2021-09-09 01:02:21.962895 : Epoch  3, Batch   1211, Loss  0.874127, Average Loss  0.869361, Time  0.376552
2021-09-09 01:02:23.825267 : Epoch  3, Batch   1212, Loss  0.870978, Average Loss  0.869276, Time  0.397665
2021-09-09 01:02:25.718899 : Epoch  3, Batch   1213, Loss  0.883417, Average Loss  0.869270, Time  0.397429
2021-09-09 01:02:27.656290 : Epoch  3, Batch   1214, Loss  0.879007, Average Loss  0.869205, Time  0.475797
2021-09-09 01:02:29.619171 : Epoch  3, Batch   1215, Loss  0.872205, Average Loss  0.869174, Time  0.485726
2021-09-09 01:02:31.568830 : Epoch  3, Batch   1216, Loss  0.876433, Average Loss  0.869096, Time  0.481492
2021-09-09 01:02:33.387167 : Epoch  3, Batch   1217, Loss  0.847325, Average Loss  0.869121, Time  0.356469
2021-09-09 01:02:35.166774 : Epoch  3, Batch   1218, Loss  0.877644, Average Loss  0.869121, Time  0.357433
2021-09-09 01:02:36.969447 : Epoch  3, Batch   1219, Loss  0.894174, Average Loss  0.869244, Time  0.386881
2021-09-09 01:02:38.853247 : Epoch  3, Batch   1220, Loss  0.865967, Average Loss  0.869255, Time  0.455906
2021-09-09 01:02:40.623352 : Epoch  3, Batch   1221, Loss  0.900032, Average Loss  0.869501, Time  0.350268
2021-09-09 01:02:42.398827 : Epoch  3, Batch   1222, Loss  0.863066, Average Loss  0.869474, Time  0.360113
2021-09-09 01:02:44.185077 : Epoch  3, Batch   1223, Loss  0.858774, Average Loss  0.869547, Time  0.357651
2021-09-09 01:02:46.075330 : Epoch  3, Batch   1224, Loss  0.869459, Average Loss  0.869541, Time  0.455348
2021-09-09 01:02:47.890363 : Epoch  3, Batch   1225, Loss  0.883117, Average Loss  0.869636, Time  0.390285
2021-09-09 01:02:49.713344 : Epoch  3, Batch   1226, Loss  0.870907, Average Loss  0.869517, Time  0.359843
2021-09-09 01:02:51.500471 : Epoch  3, Batch   1227, Loss  0.865258, Average Loss  0.869421, Time  0.362599
2021-09-09 01:02:53.356157 : Epoch  3, Batch   1228, Loss  0.846224, Average Loss  0.869176, Time  0.439163
2021-09-09 01:02:55.239040 : Epoch  3, Batch   1229, Loss  0.892454, Average Loss  0.869333, Time  0.454867
2021-09-09 01:02:57.011690 : Epoch  3, Batch   1230, Loss  0.892554, Average Loss  0.869348, Time  0.356224
2021-09-09 01:02:58.872959 : Epoch  3, Batch   1231, Loss  0.899595, Average Loss  0.869457, Time  0.372228
2021-09-09 01:03:00.655824 : Epoch  3, Batch   1232, Loss  0.857957, Average Loss  0.869381, Time  0.359092
2021-09-09 01:03:02.536420 : Epoch  3, Batch   1233, Loss  0.879726, Average Loss  0.869400, Time  0.456167
2021-09-09 01:03:04.378088 : Epoch  3, Batch   1234, Loss  0.855757, Average Loss  0.869346, Time  0.420040
2021-09-09 01:03:06.157418 : Epoch  3, Batch   1235, Loss  0.859547, Average Loss  0.869274, Time  0.357712
2021-09-09 01:03:07.986192 : Epoch  3, Batch   1236, Loss  0.880833, Average Loss  0.869436, Time  0.358144
2021-09-09 01:03:09.861608 : Epoch  3, Batch   1237, Loss  0.875244, Average Loss  0.869343, Time  0.423966
2021-09-09 01:03:11.813421 : Epoch  3, Batch   1238, Loss  0.856626, Average Loss  0.869365, Time  0.457139
2021-09-09 01:03:13.667895 : Epoch  3, Batch   1239, Loss  0.880026, Average Loss  0.869447, Time  0.428254
2021-09-09 01:03:15.496056 : Epoch  3, Batch   1240, Loss  0.865030, Average Loss  0.869477, Time  0.361605
2021-09-09 01:03:17.284771 : Epoch  3, Batch   1241, Loss  0.864563, Average Loss  0.869272, Time  0.362675
2021-09-09 01:03:19.136777 : Epoch  3, Batch   1242, Loss  0.868550, Average Loss  0.869146, Time  0.407201
2021-09-09 01:03:21.053465 : Epoch  3, Batch   1243, Loss  0.864749, Average Loss  0.869174, Time  0.488561
2021-09-09 01:03:22.902818 : Epoch  3, Batch   1244, Loss  0.878894, Average Loss  0.869320, Time  0.415048
2021-09-09 01:03:24.705770 : Epoch  3, Batch   1245, Loss  0.873938, Average Loss  0.869451, Time  0.360733
2021-09-09 01:03:26.495262 : Epoch  3, Batch   1246, Loss  0.828012, Average Loss  0.869274, Time  0.358442
2021-09-09 01:03:28.328044 : Epoch  3, Batch   1247, Loss  0.836276, Average Loss  0.869109, Time  0.411111
2021-09-09 01:03:30.192788 : Epoch  3, Batch   1248, Loss  0.863331, Average Loss  0.869114, Time  0.452973
2021-09-09 01:03:31.977000 : Epoch  3, Batch   1249, Loss  0.889637, Average Loss  0.869281, Time  0.358366
2021-09-09 01:03:33.810239 : Epoch  3, Batch   1250, Loss  0.866178, Average Loss  0.869104, Time  0.358981
2021-09-09 01:03:35.618789 : Epoch  3, Batch   1251, Loss  0.877385, Average Loss  0.869052, Time  0.357779
2021-09-09 01:03:37.512771 : Epoch  3, Batch   1252, Loss  0.873247, Average Loss  0.869136, Time  0.456039
2021-09-09 01:03:39.369772 : Epoch  3, Batch   1253, Loss  0.872907, Average Loss  0.869245, Time  0.425061
2021-09-09 01:03:41.167819 : Epoch  3, Batch   1254, Loss  0.893030, Average Loss  0.869427, Time  0.360222
2021-09-09 01:03:42.953777 : Epoch  3, Batch   1255, Loss  0.885696, Average Loss  0.869480, Time  0.361330
2021-09-09 01:03:44.789007 : Epoch  3, Batch   1256, Loss  0.904666, Average Loss  0.869553, Time  0.414412
2021-09-09 01:03:46.705776 : Epoch  3, Batch   1257, Loss  0.885286, Average Loss  0.869648, Time  0.455132
2021-09-09 01:03:48.568085 : Epoch  3, Batch   1258, Loss  0.877941, Average Loss  0.869631, Time  0.420459
2021-09-09 01:03:50.366787 : Epoch  3, Batch   1259, Loss  0.866765, Average Loss  0.869613, Time  0.360169
2021-09-09 01:03:52.176518 : Epoch  3, Batch   1260, Loss  0.858699, Average Loss  0.869715, Time  0.358907
2021-09-09 01:03:54.042106 : Epoch  3, Batch   1261, Loss  0.874481, Average Loss  0.869643, Time  0.401713
2021-09-09 01:03:55.960783 : Epoch  3, Batch   1262, Loss  0.852801, Average Loss  0.869631, Time  0.457593
2021-09-09 01:03:57.811233 : Epoch  3, Batch   1263, Loss  0.889378, Average Loss  0.869866, Time  0.424399
2021-09-09 01:03:59.589552 : Epoch  3, Batch   1264, Loss  0.853525, Average Loss  0.869869, Time  0.359714
2021-09-09 01:04:01.382782 : Epoch  3, Batch   1265, Loss  0.859887, Average Loss  0.869672, Time  0.358487
2021-09-09 01:04:03.215910 : Epoch  3, Batch   1266, Loss  0.851006, Average Loss  0.869648, Time  0.414338
2021-09-09 01:04:05.114772 : Epoch  3, Batch   1267, Loss  0.897578, Average Loss  0.869753, Time  0.453546
2021-09-09 01:04:07.013452 : Epoch  3, Batch   1268, Loss  0.877491, Average Loss  0.869809, Time  0.445473
2021-09-09 01:04:08.817846 : Epoch  3, Batch   1269, Loss  0.892870, Average Loss  0.869766, Time  0.359150
2021-09-09 01:04:10.619774 : Epoch  3, Batch   1270, Loss  0.867800, Average Loss  0.869705, Time  0.359423
2021-09-09 01:04:12.462139 : Epoch  3, Batch   1271, Loss  0.916271, Average Loss  0.869915, Time  0.413773
2021-09-09 01:04:14.387777 : Epoch  3, Batch   1272, Loss  0.881956, Average Loss  0.870057, Time  0.454981
2021-09-09 01:04:16.161889 : Epoch  3, Batch   1273, Loss  0.860868, Average Loss  0.870209, Time  0.356323
2021-09-09 01:04:17.961230 : Epoch  3, Batch   1274, Loss  0.861209, Average Loss  0.870214, Time  0.359149
2021-09-09 01:04:19.755127 : Epoch  3, Batch   1275, Loss  0.856023, Average Loss  0.870186, Time  0.372923
2021-09-09 01:04:21.632281 : Epoch  3, Batch   1276, Loss  0.846573, Average Loss  0.869839, Time  0.454960
2021-09-09 01:04:23.423774 : Epoch  3, Batch   1277, Loss  0.880915, Average Loss  0.869862, Time  0.356474
2021-09-09 01:04:25.216763 : Epoch  3, Batch   1278, Loss  0.867336, Average Loss  0.869819, Time  0.360906
2021-09-09 01:09:16.532719 : CheckPoint: Validation Loss  0.00061372, Best Loss  0.00058177
2021-09-09 01:09:18.307778 : Epoch  3, Batch   1279, Loss  0.868043, Average Loss  0.869636, Time  0.365451
2021-09-09 01:09:20.078773 : Epoch  3, Batch   1280, Loss  0.878300, Average Loss  0.869633, Time  0.355304
2021-09-09 01:09:21.873777 : Epoch  3, Batch   1281, Loss  0.869084, Average Loss  0.869418, Time  0.365138
2021-09-09 01:09:23.748772 : Epoch  3, Batch   1282, Loss  0.861608, Average Loss  0.869446, Time  0.458388
2021-09-09 01:09:25.630017 : Epoch  3, Batch   1283, Loss  0.858468, Average Loss  0.869466, Time  0.450172
2021-09-09 01:09:27.415934 : Epoch  3, Batch   1284, Loss  0.869488, Average Loss  0.869516, Time  0.356822
2021-09-09 01:09:29.200860 : Epoch  3, Batch   1285, Loss  0.839897, Average Loss  0.869409, Time  0.357398
2021-09-09 01:09:31.016914 : Epoch  3, Batch   1286, Loss  0.859649, Average Loss  0.869363, Time  0.391931
2021-09-09 01:09:32.893101 : Epoch  3, Batch   1287, Loss  0.875722, Average Loss  0.869446, Time  0.458331
2021-09-09 01:09:34.657523 : Epoch  3, Batch   1288, Loss  0.870691, Average Loss  0.869518, Time  0.335488
2021-09-09 01:09:36.438199 : Epoch  3, Batch   1289, Loss  0.888237, Average Loss  0.869625, Time  0.357985
2021-09-09 01:09:38.232153 : Epoch  3, Batch   1290, Loss  0.842421, Average Loss  0.869437, Time  0.363790
2021-09-09 01:09:40.106800 : Epoch  3, Batch   1291, Loss  0.862508, Average Loss  0.869544, Time  0.454874
2021-09-09 01:09:41.894040 : Epoch  3, Batch   1292, Loss  0.857026, Average Loss  0.869461, Time  0.360525
2021-09-09 01:09:43.680777 : Epoch  3, Batch   1293, Loss  0.860696, Average Loss  0.869432, Time  0.358979
2021-09-09 01:09:45.468429 : Epoch  3, Batch   1294, Loss  0.877190, Average Loss  0.869571, Time  0.364175
2021-09-09 01:09:47.360836 : Epoch  3, Batch   1295, Loss  0.828801, Average Loss  0.869246, Time  0.456870
2021-09-09 01:09:49.132874 : Epoch  3, Batch   1296, Loss  0.879471, Average Loss  0.869237, Time  0.352084
2021-09-09 01:09:50.916794 : Epoch  3, Batch   1297, Loss  0.873776, Average Loss  0.869272, Time  0.359517
2021-09-09 01:09:52.700202 : Epoch  3, Batch   1298, Loss  0.841487, Average Loss  0.869160, Time  0.359377
2021-09-09 01:09:54.652228 : Epoch  3, Batch   1299, Loss  0.884193, Average Loss  0.869237, Time  0.486434
2021-09-09 01:09:56.603272 : Epoch  3, Batch   1300, Loss  0.881859, Average Loss  0.869205, Time  0.483386
2021-09-09 01:09:58.504471 : Epoch  3, Batch   1301, Loss  0.862800, Average Loss  0.869245, Time  0.436387
2021-09-09 01:10:00.367801 : Epoch  3, Batch   1302, Loss  0.854860, Average Loss  0.869107, Time  0.399555
2021-09-09 01:10:02.159771 : Epoch  3, Batch   1303, Loss  0.859854, Average Loss  0.869027, Time  0.363515
2021-09-09 01:10:04.056822 : Epoch  3, Batch   1304, Loss  0.874421, Average Loss  0.869107, Time  0.440690
2021-09-09 01:10:05.999790 : Epoch  3, Batch   1305, Loss  0.876048, Average Loss  0.869130, Time  0.477347
2021-09-09 01:10:07.953102 : Epoch  3, Batch   1306, Loss  0.885366, Average Loss  0.869254, Time  0.479401
2021-09-09 01:10:09.832605 : Epoch  3, Batch   1307, Loss  0.870044, Average Loss  0.869103, Time  0.398316
2021-09-09 01:10:11.693192 : Epoch  3, Batch   1308, Loss  0.860582, Average Loss  0.869012, Time  0.399477
2021-09-09 01:10:13.548074 : Epoch  3, Batch   1309, Loss  0.884823, Average Loss  0.869053, Time  0.398240
2021-09-09 01:10:15.505778 : Epoch  3, Batch   1310, Loss  0.859916, Average Loss  0.869092, Time  0.487293
2021-09-09 01:10:17.472851 : Epoch  3, Batch   1311, Loss  0.873913, Average Loss  0.869189, Time  0.483006
2021-09-09 01:10:19.338006 : Epoch  3, Batch   1312, Loss  0.862258, Average Loss  0.869197, Time  0.399374
2021-09-09 01:10:21.195136 : Epoch  3, Batch   1313, Loss  0.870312, Average Loss  0.869202, Time  0.399327
2021-09-09 01:10:23.061778 : Epoch  3, Batch   1314, Loss  0.883364, Average Loss  0.869272, Time  0.397740
2021-09-09 01:10:24.954773 : Epoch  3, Batch   1315, Loss  0.880263, Average Loss  0.869404, Time  0.455204
2021-09-09 01:10:26.837834 : Epoch  3, Batch   1316, Loss  0.853268, Average Loss  0.869141, Time  0.445020
2021-09-09 01:10:28.623778 : Epoch  3, Batch   1317, Loss  0.901952, Average Loss  0.869102, Time  0.358403
2021-09-09 01:10:30.404163 : Epoch  3, Batch   1318, Loss  0.874435, Average Loss  0.869233, Time  0.358047
2021-09-09 01:10:32.237580 : Epoch  3, Batch   1319, Loss  0.903690, Average Loss  0.869385, Time  0.412666
2021-09-09 01:10:34.116031 : Epoch  3, Batch   1320, Loss  0.829076, Average Loss  0.869197, Time  0.454795
2021-09-09 01:10:35.922193 : Epoch  3, Batch   1321, Loss  0.864860, Average Loss  0.869255, Time  0.347401
2021-09-09 01:10:37.696816 : Epoch  3, Batch   1322, Loss  0.863947, Average Loss  0.869242, Time  0.360237
2021-09-09 01:10:39.583051 : Epoch  3, Batch   1323, Loss  0.858028, Average Loss  0.869274, Time  0.405579
2021-09-09 01:10:41.530001 : Epoch  3, Batch   1324, Loss  0.844232, Average Loss  0.869177, Time  0.487270
2021-09-09 01:10:43.479847 : Epoch  3, Batch   1325, Loss  0.862414, Average Loss  0.869143, Time  0.478041
2021-09-09 01:10:45.344094 : Epoch  3, Batch   1326, Loss  0.873904, Average Loss  0.869246, Time  0.398980
2021-09-09 01:10:47.203911 : Epoch  3, Batch   1327, Loss  0.870603, Average Loss  0.869221, Time  0.402253
2021-09-09 01:10:49.066813 : Epoch  3, Batch   1328, Loss  0.884060, Average Loss  0.869216, Time  0.396293
2021-09-09 01:10:51.013274 : Epoch  3, Batch   1329, Loss  0.880763, Average Loss  0.869272, Time  0.486409
2021-09-09 01:10:52.900789 : Epoch  3, Batch   1330, Loss  0.844823, Average Loss  0.869169, Time  0.450228
2021-09-09 01:10:54.682856 : Epoch  3, Batch   1331, Loss  0.858725, Average Loss  0.869061, Time  0.358770
2021-09-09 01:10:56.492183 : Epoch  3, Batch   1332, Loss  0.875436, Average Loss  0.868856, Time  0.364125
2021-09-09 01:10:58.308142 : Epoch  3, Batch   1333, Loss  0.885152, Average Loss  0.868944, Time  0.389384
2021-09-09 01:11:00.189780 : Epoch  3, Batch   1334, Loss  0.856642, Average Loss  0.868874, Time  0.454643
2021-09-09 01:11:01.964701 : Epoch  3, Batch   1335, Loss  0.864493, Average Loss  0.868823, Time  0.346792
2021-09-09 01:11:03.825249 : Epoch  3, Batch   1336, Loss  0.827403, Average Loss  0.868708, Time  0.398966
2021-09-09 01:11:05.649972 : Epoch  3, Batch   1337, Loss  0.902036, Average Loss  0.868881, Time  0.366793
2021-09-09 01:11:07.531311 : Epoch  3, Batch   1338, Loss  0.862892, Average Loss  0.868771, Time  0.451108
2021-09-09 01:11:09.411834 : Epoch  3, Batch   1339, Loss  0.837613, Average Loss  0.868557, Time  0.454893
2021-09-09 01:11:11.199563 : Epoch  3, Batch   1340, Loss  0.869357, Average Loss  0.868411, Time  0.371184
2021-09-09 01:11:12.986806 : Epoch  3, Batch   1341, Loss  0.870519, Average Loss  0.868330, Time  0.356983
2021-09-09 01:11:14.786771 : Epoch  3, Batch   1342, Loss  0.877450, Average Loss  0.868416, Time  0.371873
2021-09-09 01:11:16.686859 : Epoch  3, Batch   1343, Loss  0.840015, Average Loss  0.868424, Time  0.452283
2021-09-09 01:11:18.623385 : Epoch  3, Batch   1344, Loss  0.889262, Average Loss  0.868525, Time  0.469593
2021-09-09 01:11:20.491208 : Epoch  3, Batch   1345, Loss  0.890787, Average Loss  0.868519, Time  0.401377
2021-09-09 01:11:22.356968 : Epoch  3, Batch   1346, Loss  0.898723, Average Loss  0.868749, Time  0.396389
2021-09-09 01:11:24.223801 : Epoch  3, Batch   1347, Loss  0.880383, Average Loss  0.868772, Time  0.403095
2021-09-09 01:11:26.166986 : Epoch  3, Batch   1348, Loss  0.881641, Average Loss  0.868743, Time  0.488775
2021-09-09 01:11:28.107534 : Epoch  3, Batch   1349, Loss  0.874759, Average Loss  0.868804, Time  0.480055
2021-09-09 01:11:29.971227 : Epoch  3, Batch   1350, Loss  0.855906, Average Loss  0.868798, Time  0.397553
2021-09-09 01:11:31.830781 : Epoch  3, Batch   1351, Loss  0.891003, Average Loss  0.868930, Time  0.399794
2021-09-09 01:11:33.676812 : Epoch  3, Batch   1352, Loss  0.885891, Average Loss  0.868961, Time  0.380134
2021-09-09 01:11:35.614160 : Epoch  3, Batch   1353, Loss  0.845817, Average Loss  0.868933, Time  0.459174
2021-09-09 01:11:37.522021 : Epoch  3, Batch   1354, Loss  0.855576, Average Loss  0.868916, Time  0.478875
2021-09-09 01:11:39.395823 : Epoch  3, Batch   1355, Loss  0.881499, Average Loss  0.869009, Time  0.399512
2021-09-09 01:11:41.216798 : Epoch  3, Batch   1356, Loss  0.862903, Average Loss  0.868930, Time  0.357044
2021-09-09 01:11:43.004775 : Epoch  3, Batch   1357, Loss  0.863509, Average Loss  0.868955, Time  0.373731
2021-09-09 01:11:44.886267 : Epoch  3, Batch   1358, Loss  0.869865, Average Loss  0.868937, Time  0.455191
2021-09-09 01:11:46.646060 : Epoch  3, Batch   1359, Loss  0.871937, Average Loss  0.868903, Time  0.338595
2021-09-09 01:11:48.425132 : Epoch  3, Batch   1360, Loss  0.868919, Average Loss  0.868924, Time  0.357536
2021-09-09 01:11:50.240632 : Epoch  3, Batch   1361, Loss  0.822103, Average Loss  0.868839, Time  0.356706
2021-09-09 01:11:52.122773 : Epoch  3, Batch   1362, Loss  0.841939, Average Loss  0.868664, Time  0.452327
2021-09-09 01:11:53.905849 : Epoch  3, Batch   1363, Loss  0.897698, Average Loss  0.868847, Time  0.349426
2021-09-09 01:11:55.689218 : Epoch  3, Batch   1364, Loss  0.897917, Average Loss  0.868945, Time  0.357505
2021-09-09 01:11:57.574785 : Epoch  3, Batch   1365, Loss  0.847033, Average Loss  0.869013, Time  0.397948
2021-09-09 01:11:59.516868 : Epoch  3, Batch   1366, Loss  0.875281, Average Loss  0.869032, Time  0.481148
2021-09-09 01:12:01.468198 : Epoch  3, Batch   1367, Loss  0.876929, Average Loss  0.869149, Time  0.488199
2021-09-09 01:12:03.404445 : Epoch  3, Batch   1368, Loss  0.840538, Average Loss  0.868952, Time  0.477686
2021-09-09 01:12:05.225711 : Epoch  3, Batch   1369, Loss  0.855027, Average Loss  0.868828, Time  0.362753
2021-09-09 01:12:07.099904 : Epoch  3, Batch   1370, Loss  0.884127, Average Loss  0.868895, Time  0.397613
2021-09-09 01:12:08.991776 : Epoch  3, Batch   1371, Loss  0.866628, Average Loss  0.868868, Time  0.399164
2021-09-09 01:12:10.938166 : Epoch  3, Batch   1372, Loss  0.887283, Average Loss  0.868884, Time  0.482591
2021-09-09 01:12:12.885428 : Epoch  3, Batch   1373, Loss  0.866080, Average Loss  0.868752, Time  0.481966
2021-09-09 01:12:14.749228 : Epoch  3, Batch   1374, Loss  0.869430, Average Loss  0.868710, Time  0.398541
2021-09-09 01:12:16.608685 : Epoch  3, Batch   1375, Loss  0.865247, Average Loss  0.868743, Time  0.398087
2021-09-09 01:12:18.474216 : Epoch  3, Batch   1376, Loss  0.865240, Average Loss  0.868846, Time  0.397410
2021-09-09 01:12:20.448866 : Epoch  3, Batch   1377, Loss  0.856688, Average Loss  0.868682, Time  0.488530
2021-09-09 01:12:22.320826 : Epoch  3, Batch   1378, Loss  0.897360, Average Loss  0.868793, Time  0.452623
2021-09-09 01:17:13.847132 : CheckPoint: Validation Loss  0.00060268, Best Loss  0.00058177
2021-09-09 01:17:15.736393 : Epoch  3, Batch   1379, Loss  0.874567, Average Loss  0.868827, Time  0.410036
2021-09-09 01:17:17.612006 : Epoch  3, Batch   1380, Loss  0.872147, Average Loss  0.868901, Time  0.399164
2021-09-09 01:17:19.521832 : Epoch  3, Batch   1381, Loss  0.899773, Average Loss  0.869071, Time  0.436192
2021-09-09 01:17:21.419826 : Epoch  3, Batch   1382, Loss  0.867150, Average Loss  0.868941, Time  0.454709
2021-09-09 01:17:23.199816 : Epoch  3, Batch   1383, Loss  0.872957, Average Loss  0.869039, Time  0.361756
2021-09-09 01:17:25.071046 : Epoch  3, Batch   1384, Loss  0.859616, Average Loss  0.868829, Time  0.398231
2021-09-09 01:17:26.943325 : Epoch  3, Batch   1385, Loss  0.846039, Average Loss  0.868722, Time  0.402102
2021-09-09 01:17:28.913882 : Epoch  3, Batch   1386, Loss  0.849834, Average Loss  0.868699, Time  0.486426
2021-09-09 01:17:30.878878 : Epoch  3, Batch   1387, Loss  0.868581, Average Loss  0.868822, Time  0.481690
2021-09-09 01:17:32.759797 : Epoch  3, Batch   1388, Loss  0.863697, Average Loss  0.868791, Time  0.392372
2021-09-09 01:17:34.659231 : Epoch  3, Batch   1389, Loss  0.858705, Average Loss  0.868918, Time  0.398577
2021-09-09 01:17:36.433833 : Epoch  3, Batch   1390, Loss  0.886715, Average Loss  0.869093, Time  0.392304
2021-09-09 01:17:38.392937 : Epoch  3, Batch   1391, Loss  0.872856, Average Loss  0.869245, Time  0.473756
2021-09-09 01:17:40.184419 : Epoch  3, Batch   1392, Loss  0.868684, Average Loss  0.869260, Time  0.356587
2021-09-09 01:17:42.018161 : Epoch  3, Batch   1393, Loss  0.821459, Average Loss  0.868899, Time  0.371735
2021-09-09 01:17:43.819775 : Epoch  3, Batch   1394, Loss  0.883980, Average Loss  0.868849, Time  0.368169
2021-09-09 01:17:45.714251 : Epoch  3, Batch   1395, Loss  0.860233, Average Loss  0.868797, Time  0.453880
2021-09-09 01:17:47.486771 : Epoch  3, Batch   1396, Loss  0.890634, Average Loss  0.868979, Time  0.357722
2021-09-09 01:17:49.309207 : Epoch  3, Batch   1397, Loss  0.853734, Average Loss  0.868952, Time  0.367454
2021-09-09 01:17:51.125386 : Epoch  3, Batch   1398, Loss  0.893648, Average Loss  0.869098, Time  0.382470
2021-09-09 01:17:53.020933 : Epoch  3, Batch   1399, Loss  0.871417, Average Loss  0.869037, Time  0.470619
2021-09-09 01:17:54.818776 : Epoch  3, Batch   1400, Loss  0.869872, Average Loss  0.869170, Time  0.357633
2021-09-09 01:17:56.630433 : Epoch  3, Batch   1401, Loss  0.864397, Average Loss  0.869356, Time  0.375128
2021-09-09 01:17:58.441789 : Epoch  3, Batch   1402, Loss  0.872243, Average Loss  0.869449, Time  0.380347
2021-09-09 01:18:00.411788 : Epoch  3, Batch   1403, Loss  0.897292, Average Loss  0.869601, Time  0.477560
2021-09-09 01:18:02.299864 : Epoch  3, Batch   1404, Loss  0.881660, Average Loss  0.869875, Time  0.397644
2021-09-09 01:18:04.170778 : Epoch  3, Batch   1405, Loss  0.889132, Average Loss  0.869943, Time  0.400393
2021-09-09 01:18:05.983163 : Epoch  3, Batch   1406, Loss  0.898776, Average Loss  0.870044, Time  0.371649
2021-09-09 01:18:07.875775 : Epoch  3, Batch   1407, Loss  0.874727, Average Loss  0.870073, Time  0.452269
2021-09-09 01:18:09.643378 : Epoch  3, Batch   1408, Loss  0.886170, Average Loss  0.870274, Time  0.339701
2021-09-09 01:18:11.531819 : Epoch  3, Batch   1409, Loss  0.841841, Average Loss  0.870022, Time  0.396012
2021-09-09 01:18:13.398782 : Epoch  3, Batch   1410, Loss  0.866197, Average Loss  0.869980, Time  0.396965
2021-09-09 01:18:15.374310 : Epoch  3, Batch   1411, Loss  0.859538, Average Loss  0.869907, Time  0.480664
2021-09-09 01:18:17.344780 : Epoch  3, Batch   1412, Loss  0.859357, Average Loss  0.869849, Time  0.489527
2021-09-09 01:18:19.282034 : Epoch  3, Batch   1413, Loss  0.885719, Average Loss  0.869861, Time  0.471592
2021-09-09 01:18:21.084427 : Epoch  3, Batch   1414, Loss  0.881097, Average Loss  0.869871, Time  0.361198
2021-09-09 01:18:22.893865 : Epoch  3, Batch   1415, Loss  0.890975, Average Loss  0.869965, Time  0.355037
2021-09-09 01:18:24.724788 : Epoch  3, Batch   1416, Loss  0.876102, Average Loss  0.869963, Time  0.415386
2021-09-09 01:18:26.635185 : Epoch  3, Batch   1417, Loss  0.876303, Average Loss  0.870108, Time  0.451640
2021-09-09 01:18:28.423775 : Epoch  3, Batch   1418, Loss  0.840382, Average Loss  0.869922, Time  0.362531
2021-09-09 01:18:30.195342 : Epoch  3, Batch   1419, Loss  0.875018, Average Loss  0.869826, Time  0.352682
2021-09-09 01:18:32.003773 : Epoch  3, Batch   1420, Loss  0.872364, Average Loss  0.869858, Time  0.357533
2021-09-09 01:18:33.898824 : Epoch  3, Batch   1421, Loss  0.877023, Average Loss  0.869743, Time  0.455697
2021-09-09 01:18:35.731829 : Epoch  3, Batch   1422, Loss  0.854242, Average Loss  0.869699, Time  0.414222
2021-09-09 01:18:37.522846 : Epoch  3, Batch   1423, Loss  0.885785, Average Loss  0.869834, Time  0.358495
2021-09-09 01:18:39.357778 : Epoch  3, Batch   1424, Loss  0.843703, Average Loss  0.869705, Time  0.369554
2021-09-09 01:18:41.263802 : Epoch  3, Batch   1425, Loss  0.850432, Average Loss  0.869542, Time  0.453207
2021-09-09 01:18:43.058826 : Epoch  3, Batch   1426, Loss  0.892443, Average Loss  0.869650, Time  0.358993
2021-09-09 01:18:44.855999 : Epoch  3, Batch   1427, Loss  0.874609, Average Loss  0.869696, Time  0.374961
2021-09-09 01:18:46.736775 : Epoch  3, Batch   1428, Loss  0.857400, Average Loss  0.869752, Time  0.440213
2021-09-09 01:18:48.630029 : Epoch  3, Batch   1429, Loss  0.903336, Average Loss  0.869807, Time  0.445771
2021-09-09 01:18:50.429794 : Epoch  3, Batch   1430, Loss  0.871211, Average Loss  0.869700, Time  0.363342
2021-09-09 01:18:52.228363 : Epoch  3, Batch   1431, Loss  0.894413, Average Loss  0.869674, Time  0.365231
2021-09-09 01:18:54.056876 : Epoch  3, Batch   1432, Loss  0.836361, Average Loss  0.869566, Time  0.401116
2021-09-09 01:18:55.938349 : Epoch  3, Batch   1433, Loss  0.859217, Average Loss  0.869464, Time  0.455376
2021-09-09 01:18:57.727772 : Epoch  3, Batch   1434, Loss  0.886757, Average Loss  0.869619, Time  0.360687
2021-09-09 01:18:59.514834 : Epoch  3, Batch   1435, Loss  0.909238, Average Loss  0.869867, Time  0.361111
2021-09-09 01:19:01.345794 : Epoch  3, Batch   1436, Loss  0.874391, Average Loss  0.869835, Time  0.388288
2021-09-09 01:19:03.236072 : Epoch  3, Batch   1437, Loss  0.861874, Average Loss  0.869768, Time  0.453155
2021-09-09 01:19:05.206811 : Epoch  3, Batch   1438, Loss  0.886383, Average Loss  0.869917, Time  0.485249
2021-09-09 01:19:07.015965 : Epoch  3, Batch   1439, Loss  0.849468, Average Loss  0.869764, Time  0.359248
2021-09-09 01:19:08.799792 : Epoch  3, Batch   1440, Loss  0.883883, Average Loss  0.869858, Time  0.356357
2021-09-09 01:19:10.660219 : Epoch  3, Batch   1441, Loss  0.892972, Average Loss  0.870000, Time  0.397548
2021-09-09 01:19:12.545774 : Epoch  3, Batch   1442, Loss  0.891199, Average Loss  0.870113, Time  0.449728
2021-09-09 01:19:14.328113 : Epoch  3, Batch   1443, Loss  0.871471, Average Loss  0.870147, Time  0.350967
2021-09-09 01:19:16.132815 : Epoch  3, Batch   1444, Loss  0.872358, Average Loss  0.870114, Time  0.357606
2021-09-09 01:19:18.036818 : Epoch  3, Batch   1445, Loss  0.888590, Average Loss  0.870188, Time  0.417717
2021-09-09 01:19:19.913944 : Epoch  3, Batch   1446, Loss  0.880982, Average Loss  0.870452, Time  0.454691
2021-09-09 01:19:21.703987 : Epoch  3, Batch   1447, Loss  0.878466, Average Loss  0.870663, Time  0.363286
2021-09-09 01:19:23.508166 : Epoch  3, Batch   1448, Loss  0.868221, Average Loss  0.870688, Time  0.370116
2021-09-09 01:19:25.345785 : Epoch  3, Batch   1449, Loss  0.876023, Average Loss  0.870620, Time  0.407104
2021-09-09 01:19:27.334609 : Epoch  3, Batch   1450, Loss  0.877421, Average Loss  0.870676, Time  0.462266
2021-09-09 01:19:29.237144 : Epoch  3, Batch   1451, Loss  0.869403, Average Loss  0.870636, Time  0.451092
2021-09-09 01:19:31.097004 : Epoch  3, Batch   1452, Loss  0.842180, Average Loss  0.870481, Time  0.361395
2021-09-09 01:19:32.890224 : Epoch  3, Batch   1453, Loss  0.888252, Average Loss  0.870558, Time  0.360485
2021-09-09 01:19:34.737204 : Epoch  3, Batch   1454, Loss  0.872978, Average Loss  0.870457, Time  0.404253
2021-09-09 01:19:36.608777 : Epoch  3, Batch   1455, Loss  0.867915, Average Loss  0.870368, Time  0.449634
2021-09-09 01:19:38.409280 : Epoch  3, Batch   1456, Loss  0.857725, Average Loss  0.870134, Time  0.357913
2021-09-09 01:19:40.318814 : Epoch  3, Batch   1457, Loss  0.866187, Average Loss  0.870038, Time  0.416956
2021-09-09 01:19:42.099175 : Epoch  3, Batch   1458, Loss  0.865990, Average Loss  0.869978, Time  0.362062
2021-09-09 01:19:43.983773 : Epoch  3, Batch   1459, Loss  0.885750, Average Loss  0.870073, Time  0.463819
2021-09-09 01:19:45.753855 : Epoch  3, Batch   1460, Loss  0.863719, Average Loss  0.870098, Time  0.359227
2021-09-09 01:19:47.537938 : Epoch  3, Batch   1461, Loss  0.862245, Average Loss  0.870037, Time  0.366179
2021-09-09 01:19:49.350773 : Epoch  3, Batch   1462, Loss  0.897409, Average Loss  0.870260, Time  0.375512
2021-09-09 01:19:51.229604 : Epoch  3, Batch   1463, Loss  0.895041, Average Loss  0.870289, Time  0.466106
2021-09-09 01:19:53.058268 : Epoch  3, Batch   1464, Loss  0.881502, Average Loss  0.870429, Time  0.387667
2021-09-09 01:19:54.834819 : Epoch  3, Batch   1465, Loss  0.858825, Average Loss  0.870423, Time  0.358638
2021-09-09 01:19:56.628492 : Epoch  3, Batch   1466, Loss  0.872374, Average Loss  0.870530, Time  0.382980
2021-09-09 01:19:58.580863 : Epoch  3, Batch   1467, Loss  0.866522, Average Loss  0.870375, Time  0.486131
2021-09-09 01:20:00.440208 : Epoch  3, Batch   1468, Loss  0.877139, Average Loss  0.870373, Time  0.396912
2021-09-09 01:20:02.289919 : Epoch  3, Batch   1469, Loss  0.882985, Average Loss  0.870324, Time  0.374166
2021-09-09 01:20:04.109323 : Epoch  3, Batch   1470, Loss  0.885272, Average Loss  0.870411, Time  0.380336
2021-09-09 01:20:05.971776 : Epoch  3, Batch   1471, Loss  0.908759, Average Loss  0.870373, Time  0.439748
2021-09-09 01:20:07.915812 : Epoch  3, Batch   1472, Loss  0.879664, Average Loss  0.870362, Time  0.403177
2021-09-09 01:20:09.771851 : Epoch  3, Batch   1473, Loss  0.874208, Average Loss  0.870429, Time  0.404104
2021-09-09 01:20:11.565194 : Epoch  3, Batch   1474, Loss  0.847248, Average Loss  0.870359, Time  0.378129
2021-09-09 01:20:13.465789 : Epoch  3, Batch   1475, Loss  0.842576, Average Loss  0.870292, Time  0.484910
2021-09-09 01:20:15.331227 : Epoch  3, Batch   1476, Loss  0.879233, Average Loss  0.870455, Time  0.397355
2021-09-09 01:20:17.208322 : Epoch  3, Batch   1477, Loss  0.886829, Average Loss  0.870484, Time  0.398301
2021-09-09 01:20:19.071111 : Epoch  3, Batch   1478, Loss  0.862868, Average Loss  0.870462, Time  0.396612
2021-09-09 01:25:11.857726 : CheckPoint: Validation Loss  0.00060775, Best Loss  0.00058177
2021-09-09 01:25:13.649777 : Epoch  3, Batch   1479, Loss  0.875082, Average Loss  0.870497, Time  0.364579
2021-09-09 01:25:15.463847 : Epoch  3, Batch   1480, Loss  0.871785, Average Loss  0.870465, Time  0.392208
2021-09-09 01:25:17.359922 : Epoch  3, Batch   1481, Loss  0.868253, Average Loss  0.870461, Time  0.470390
2021-09-09 01:25:19.238889 : Epoch  3, Batch   1482, Loss  0.880908, Average Loss  0.870557, Time  0.431127
2021-09-09 01:25:21.053803 : Epoch  3, Batch   1483, Loss  0.869315, Average Loss  0.870611, Time  0.358950
2021-09-09 01:25:22.926772 : Epoch  3, Batch   1484, Loss  0.871563, Average Loss  0.870622, Time  0.380228
2021-09-09 01:25:24.748771 : Epoch  3, Batch   1485, Loss  0.882245, Average Loss  0.870833, Time  0.407434
2021-09-09 01:25:26.733776 : Epoch  3, Batch   1486, Loss  0.858121, Average Loss  0.870826, Time  0.472766
2021-09-09 01:25:28.610269 : Epoch  3, Batch   1487, Loss  0.866580, Average Loss  0.870780, Time  0.455014
2021-09-09 01:25:30.398461 : Epoch  3, Batch   1488, Loss  0.853773, Average Loss  0.870695, Time  0.361012
2021-09-09 01:25:32.190772 : Epoch  3, Batch   1489, Loss  0.862970, Average Loss  0.870569, Time  0.359101
2021-09-09 01:25:34.038727 : Epoch  3, Batch   1490, Loss  0.873645, Average Loss  0.870725, Time  0.418043
2021-09-09 01:25:35.936857 : Epoch  3, Batch   1491, Loss  0.862080, Average Loss  0.870723, Time  0.455977
2021-09-09 01:25:37.904784 : Epoch  3, Batch   1492, Loss  0.886197, Average Loss  0.870869, Time  0.487422
2021-09-09 01:25:39.760238 : Epoch  3, Batch   1493, Loss  0.856790, Average Loss  0.870849, Time  0.398567
2021-09-09 01:25:41.637844 : Epoch  3, Batch   1494, Loss  0.880273, Average Loss  0.870865, Time  0.399131
2021-09-09 01:25:43.500131 : Epoch  3, Batch   1495, Loss  0.864087, Average Loss  0.871041, Time  0.398387
2021-09-09 01:25:45.470789 : Epoch  3, Batch   1496, Loss  0.864415, Average Loss  0.870966, Time  0.489621
2021-09-09 01:25:47.440374 : Epoch  3, Batch   1497, Loss  0.864515, Average Loss  0.870920, Time  0.482296
2021-09-09 01:25:49.303792 : Epoch  3, Batch   1498, Loss  0.838565, Average Loss  0.870905, Time  0.392342
2021-09-09 01:25:51.159986 : Epoch  3, Batch   1499, Loss  0.877693, Average Loss  0.870873, Time  0.396545
2021-09-09 01:25:52.967727 : Epoch  3, Batch   1500, Loss  0.874223, Average Loss  0.870834, Time  0.366563
2021-09-09 01:25:54.869491 : Epoch  3, Batch   1501, Loss  0.860338, Average Loss  0.870822, Time  0.480268
2021-09-09 01:25:56.756526 : Epoch  3, Batch   1502, Loss  0.889612, Average Loss  0.870996, Time  0.455297
2021-09-09 01:25:58.537133 : Epoch  3, Batch   1503, Loss  0.870425, Average Loss  0.871049, Time  0.363417
2021-09-09 01:26:00.370782 : Epoch  3, Batch   1504, Loss  0.853025, Average Loss  0.870942, Time  0.407109
2021-09-09 01:26:02.170154 : Epoch  3, Batch   1505, Loss  0.876119, Average Loss  0.870942, Time  0.373150
2021-09-09 01:26:04.053807 : Epoch  3, Batch   1506, Loss  0.866732, Average Loss  0.870849, Time  0.453351
2021-09-09 01:26:05.834347 : Epoch  3, Batch   1507, Loss  0.890240, Average Loss  0.870950, Time  0.351532
2021-09-09 01:26:07.633916 : Epoch  3, Batch   1508, Loss  0.886383, Average Loss  0.871079, Time  0.356580
2021-09-09 01:26:09.411770 : Epoch  3, Batch   1509, Loss  0.870805, Average Loss  0.871009, Time  0.356738
2021-09-09 01:26:11.287383 : Epoch  3, Batch   1510, Loss  0.881279, Average Loss  0.871116, Time  0.455207
2021-09-09 01:26:13.191771 : Epoch  3, Batch   1511, Loss  0.872293, Average Loss  0.871108, Time  0.448359
2021-09-09 01:26:15.090805 : Epoch  3, Batch   1512, Loss  0.898609, Average Loss  0.871289, Time  0.399404
2021-09-09 01:26:16.955242 : Epoch  3, Batch   1513, Loss  0.845039, Average Loss  0.871163, Time  0.399297
2021-09-09 01:26:18.751821 : Epoch  3, Batch   1514, Loss  0.889737, Average Loss  0.871195, Time  0.363962
2021-09-09 01:26:20.655013 : Epoch  3, Batch   1515, Loss  0.878563, Average Loss  0.871186, Time  0.469784
2021-09-09 01:26:22.434205 : Epoch  3, Batch   1516, Loss  0.882013, Average Loss  0.871330, Time  0.359361
2021-09-09 01:26:24.318802 : Epoch  3, Batch   1517, Loss  0.857770, Average Loss  0.871109, Time  0.401301
2021-09-09 01:26:26.191774 : Epoch  3, Batch   1518, Loss  0.889124, Average Loss  0.871183, Time  0.404120
2021-09-09 01:26:28.155635 : Epoch  3, Batch   1519, Loss  0.859242, Average Loss  0.870960, Time  0.487665
2021-09-09 01:26:30.093966 : Epoch  3, Batch   1520, Loss  0.855091, Average Loss  0.871090, Time  0.485053
2021-09-09 01:26:32.008846 : Epoch  3, Batch   1521, Loss  0.872834, Average Loss  0.871130, Time  0.457451
2021-09-09 01:26:33.870791 : Epoch  3, Batch   1522, Loss  0.887768, Average Loss  0.871249, Time  0.401268
2021-09-09 01:26:35.732169 : Epoch  3, Batch   1523, Loss  0.851838, Average Loss  0.871218, Time  0.397022
2021-09-09 01:26:37.615168 : Epoch  3, Batch   1524, Loss  0.863094, Average Loss  0.871313, Time  0.417478
2021-09-09 01:26:39.572784 : Epoch  3, Batch   1525, Loss  0.862535, Average Loss  0.871313, Time  0.489348
2021-09-09 01:26:41.523096 : Epoch  3, Batch   1526, Loss  0.892920, Average Loss  0.871408, Time  0.483631
2021-09-09 01:26:43.393196 : Epoch  3, Batch   1527, Loss  0.867139, Average Loss  0.871391, Time  0.399209
2021-09-09 01:26:45.262442 : Epoch  3, Batch   1528, Loss  0.862557, Average Loss  0.871284, Time  0.398664
2021-09-09 01:26:47.141003 : Epoch  3, Batch   1529, Loss  0.846639, Average Loss  0.871113, Time  0.400707
2021-09-09 01:26:49.108793 : Epoch  3, Batch   1530, Loss  0.874344, Average Loss  0.871261, Time  0.488091
2021-09-09 01:26:51.059802 : Epoch  3, Batch   1531, Loss  0.849509, Average Loss  0.871214, Time  0.481900
2021-09-09 01:26:52.922245 : Epoch  3, Batch   1532, Loss  0.858178, Average Loss  0.871128, Time  0.396654
2021-09-09 01:26:54.787776 : Epoch  3, Batch   1533, Loss  0.864823, Average Loss  0.871027, Time  0.397670
2021-09-09 01:26:56.654462 : Epoch  3, Batch   1534, Loss  0.857644, Average Loss  0.871032, Time  0.364675
2021-09-09 01:26:58.569937 : Epoch  3, Batch   1535, Loss  0.900254, Average Loss  0.871210, Time  0.458282
2021-09-09 01:27:00.525612 : Epoch  3, Batch   1536, Loss  0.857213, Average Loss  0.871359, Time  0.480060
2021-09-09 01:27:02.411028 : Epoch  3, Batch   1537, Loss  0.866751, Average Loss  0.871183, Time  0.425256
2021-09-09 01:27:04.272744 : Epoch  3, Batch   1538, Loss  0.883838, Average Loss  0.871288, Time  0.399659
2021-09-09 01:27:06.135815 : Epoch  3, Batch   1539, Loss  0.864263, Average Loss  0.871421, Time  0.400955
2021-09-09 01:27:08.105838 : Epoch  3, Batch   1540, Loss  0.888724, Average Loss  0.871518, Time  0.499161
2021-09-09 01:27:10.066881 : Epoch  3, Batch   1541, Loss  0.874561, Average Loss  0.871538, Time  0.493836
2021-09-09 01:27:11.852592 : Epoch  3, Batch   1542, Loss  0.896877, Average Loss  0.871635, Time  0.358761
2021-09-09 01:27:13.730185 : Epoch  3, Batch   1543, Loss  0.896088, Average Loss  0.871915, Time  0.420858
2021-09-09 01:27:15.697058 : Epoch  3, Batch   1544, Loss  0.898325, Average Loss  0.871961, Time  0.472130
2021-09-09 01:27:17.682739 : Epoch  3, Batch   1545, Loss  0.847115, Average Loss  0.871742, Time  0.513288
2021-09-09 01:27:19.652235 : Epoch  3, Batch   1546, Loss  0.869333, Average Loss  0.871595, Time  0.483304
2021-09-09 01:27:21.513828 : Epoch  3, Batch   1547, Loss  0.861638, Average Loss  0.871502, Time  0.405861
2021-09-09 01:27:23.382994 : Epoch  3, Batch   1548, Loss  0.865314, Average Loss  0.871420, Time  0.399877
2021-09-09 01:27:25.255162 : Epoch  3, Batch   1549, Loss  0.884387, Average Loss  0.871468, Time  0.395289
2021-09-09 01:27:27.209042 : Epoch  3, Batch   1550, Loss  0.878433, Average Loss  0.871581, Time  0.476323
2021-09-09 01:27:29.165186 : Epoch  3, Batch   1551, Loss  0.860988, Average Loss  0.871431, Time  0.483565
2021-09-09 01:27:31.028781 : Epoch  3, Batch   1552, Loss  0.879670, Average Loss  0.871400, Time  0.395284
2021-09-09 01:27:32.822796 : Epoch  3, Batch   1553, Loss  0.843202, Average Loss  0.871387, Time  0.360400
2021-09-09 01:27:34.673223 : Epoch  3, Batch   1554, Loss  0.863914, Average Loss  0.871428, Time  0.398928
2021-09-09 01:27:36.550090 : Epoch  3, Batch   1555, Loss  0.872704, Average Loss  0.871384, Time  0.455461
2021-09-09 01:27:38.333169 : Epoch  3, Batch   1556, Loss  0.869026, Average Loss  0.871415, Time  0.336032
2021-09-09 01:27:40.117569 : Epoch  3, Batch   1557, Loss  0.873555, Average Loss  0.871465, Time  0.361646
2021-09-09 01:27:41.912957 : Epoch  3, Batch   1558, Loss  0.889651, Average Loss  0.871564, Time  0.359540
2021-09-09 01:27:43.927300 : Epoch  3, Batch   1559, Loss  0.850567, Average Loss  0.871457, Time  0.521944
2021-09-09 01:27:45.892241 : Epoch  3, Batch   1560, Loss  0.852763, Average Loss  0.871377, Time  0.487632
2021-09-09 01:27:47.790050 : Epoch  3, Batch   1561, Loss  0.854426, Average Loss  0.871538, Time  0.412459
2021-09-09 01:27:49.589821 : Epoch  3, Batch   1562, Loss  0.900331, Average Loss  0.871830, Time  0.358164
2021-09-09 01:27:51.383999 : Epoch  3, Batch   1563, Loss  0.889376, Average Loss  0.871788, Time  0.357821
2021-09-09 01:27:53.309908 : Epoch  3, Batch   1564, Loss  0.838027, Average Loss  0.871489, Time  0.444897
2021-09-09 01:27:55.234223 : Epoch  3, Batch   1565, Loss  0.880850, Average Loss  0.871658, Time  0.477531
2021-09-09 01:27:57.038027 : Epoch  3, Batch   1566, Loss  0.871943, Average Loss  0.871641, Time  0.375164
2021-09-09 01:27:58.940420 : Epoch  3, Batch   1567, Loss  0.875750, Average Loss  0.871636, Time  0.420204
2021-09-09 01:28:00.818992 : Epoch  3, Batch   1568, Loss  0.897506, Average Loss  0.871920, Time  0.398400
2021-09-09 01:28:02.744873 : Epoch  3, Batch   1569, Loss  0.858426, Average Loss  0.871937, Time  0.455261
2021-09-09 01:28:04.712812 : Epoch  3, Batch   1570, Loss  0.830360, Average Loss  0.871669, Time  0.490395
2021-09-09 01:28:06.638774 : Epoch  3, Batch   1571, Loss  0.897822, Average Loss  0.871824, Time  0.449747
2021-09-09 01:28:08.546894 : Epoch  3, Batch   1572, Loss  0.873183, Average Loss  0.871754, Time  0.359674
2021-09-09 01:28:10.337847 : Epoch  3, Batch   1573, Loss  0.882112, Average Loss  0.871834, Time  0.358750
2021-09-09 01:28:12.132308 : Epoch  3, Batch   1574, Loss  0.891202, Average Loss  0.871943, Time  0.355590
2021-09-09 01:28:14.128145 : Epoch  3, Batch   1575, Loss  0.862499, Average Loss  0.871929, Time  0.446644
2021-09-09 01:28:16.007839 : Epoch  3, Batch   1576, Loss  0.894894, Average Loss  0.872078, Time  0.452864
2021-09-09 01:28:17.879837 : Epoch  3, Batch   1577, Loss  0.867257, Average Loss  0.872130, Time  0.400836
2021-09-09 01:28:25.374800 : Epoch  3, Batch   1578, Loss  0.845318, Average Loss  0.871870, Time  0.493438
2021-09-09 01:33:17.211783 : CheckPoint: Validation Loss  0.00060425, Best Loss  0.00058177
2021-09-09 01:33:19.052776 : Epoch  3, Batch   1579, Loss  0.833549, Average Loss  0.871665, Time  0.411958
2021-09-09 01:33:20.886958 : Epoch  3, Batch   1580, Loss  0.860154, Average Loss  0.871605, Time  0.358950
2021-09-09 01:33:22.671915 : Epoch  3, Batch   1581, Loss  0.866362, Average Loss  0.871438, Time  0.356876
2021-09-09 01:33:24.590707 : Epoch  3, Batch   1582, Loss  0.881510, Average Loss  0.871510, Time  0.477946
2021-09-09 01:33:26.564262 : Epoch  3, Batch   1583, Loss  0.832929, Average Loss  0.871310, Time  0.493460
2021-09-09 01:33:28.506760 : Epoch  3, Batch   1584, Loss  0.885719, Average Loss  0.871440, Time  0.480363
2021-09-09 01:33:30.388828 : Epoch  3, Batch   1585, Loss  0.845767, Average Loss  0.871439, Time  0.403552
2021-09-09 01:33:32.263007 : Epoch  3, Batch   1586, Loss  0.840837, Average Loss  0.871394, Time  0.398781
2021-09-09 01:33:34.130538 : Epoch  3, Batch   1587, Loss  0.877976, Average Loss  0.871441, Time  0.396033
2021-09-09 01:33:36.083822 : Epoch  3, Batch   1588, Loss  0.890323, Average Loss  0.871574, Time  0.489284
2021-09-09 01:33:38.035162 : Epoch  3, Batch   1589, Loss  0.854730, Average Loss  0.871554, Time  0.481651
2021-09-09 01:33:39.894799 : Epoch  3, Batch   1590, Loss  0.835307, Average Loss  0.871297, Time  0.397602
2021-09-09 01:33:41.765825 : Epoch  3, Batch   1591, Loss  0.858501, Average Loss  0.871225, Time  0.402170
2021-09-09 01:33:43.633781 : Epoch  3, Batch   1592, Loss  0.855914, Average Loss  0.871161, Time  0.401425
2021-09-09 01:33:45.598398 : Epoch  3, Batch   1593, Loss  0.880899, Average Loss  0.871459, Time  0.490068
2021-09-09 01:33:47.554847 : Epoch  3, Batch   1594, Loss  0.847230, Average Loss  0.871275, Time  0.480372
2021-09-09 01:33:49.439800 : Epoch  3, Batch   1595, Loss  0.856822, Average Loss  0.871258, Time  0.398151
2021-09-09 01:33:51.261801 : Epoch  3, Batch   1596, Loss  0.883371, Average Loss  0.871222, Time  0.355965
2021-09-09 01:33:53.052655 : Epoch  3, Batch   1597, Loss  0.860259, Average Loss  0.871254, Time  0.367448
2021-09-09 01:33:55.027882 : Epoch  3, Batch   1598, Loss  0.850651, Average Loss  0.871039, Time  0.492232
2021-09-09 01:33:57.004078 : Epoch  3, Batch   1599, Loss  0.872126, Average Loss  0.871043, Time  0.498998
2021-09-09 01:33:58.889775 : Epoch  3, Batch   1600, Loss  0.876130, Average Loss  0.871074, Time  0.406650
2021-09-09 01:34:00.800969 : Epoch  3, Batch   1601, Loss  0.855046, Average Loss  0.871027, Time  0.402706
2021-09-09 01:34:02.687776 : Epoch  3, Batch   1602, Loss  0.880540, Average Loss  0.871069, Time  0.398674
2021-09-09 01:34:04.691251 : Epoch  3, Batch   1603, Loss  0.873298, Average Loss  0.870949, Time  0.506709
2021-09-09 01:34:06.627242 : Epoch  3, Batch   1604, Loss  0.885531, Average Loss  0.870968, Time  0.457345
2021-09-09 01:34:08.409134 : Epoch  3, Batch   1605, Loss  0.907138, Average Loss  0.871058, Time  0.356440
2021-09-09 01:34:10.194135 : Epoch  3, Batch   1606, Loss  0.849905, Average Loss  0.870814, Time  0.359241
2021-09-09 01:34:12.096120 : Epoch  3, Batch   1607, Loss  0.872129, Average Loss  0.870801, Time  0.411260
2021-09-09 01:34:14.044340 : Epoch  3, Batch   1608, Loss  0.928722, Average Loss  0.871014, Time  0.476246
2021-09-09 01:34:16.002326 : Epoch  3, Batch   1609, Loss  0.885417, Average Loss  0.871231, Time  0.482893
2021-09-09 01:34:17.874774 : Epoch  3, Batch   1610, Loss  0.854044, Average Loss  0.871171, Time  0.397909
2021-09-09 01:34:19.795802 : Epoch  3, Batch   1611, Loss  0.873417, Average Loss  0.871240, Time  0.452747
2021-09-09 01:34:21.586892 : Epoch  3, Batch   1612, Loss  0.891796, Average Loss  0.871402, Time  0.358060
2021-09-09 01:34:23.476775 : Epoch  3, Batch   1613, Loss  0.851075, Average Loss  0.871229, Time  0.451653
2021-09-09 01:34:25.256826 : Epoch  3, Batch   1614, Loss  0.877120, Average Loss  0.871209, Time  0.354989
2021-09-09 01:34:27.062775 : Epoch  3, Batch   1615, Loss  0.858676, Average Loss  0.871048, Time  0.358553
2021-09-09 01:34:28.864260 : Epoch  3, Batch   1616, Loss  0.843432, Average Loss  0.870884, Time  0.370050
2021-09-09 01:34:30.729905 : Epoch  3, Batch   1617, Loss  0.839348, Average Loss  0.870700, Time  0.437142
2021-09-09 01:34:32.515998 : Epoch  3, Batch   1618, Loss  0.884362, Average Loss  0.870919, Time  0.359226
2021-09-09 01:34:34.433829 : Epoch  3, Batch   1619, Loss  0.850592, Average Loss  0.870797, Time  0.411077
2021-09-09 01:34:36.246150 : Epoch  3, Batch   1620, Loss  0.874888, Average Loss  0.870810, Time  0.374155
2021-09-09 01:34:38.213834 : Epoch  3, Batch   1621, Loss  0.902782, Average Loss  0.870939, Time  0.492802
2021-09-09 01:34:40.155779 : Epoch  3, Batch   1622, Loss  0.858410, Average Loss  0.870960, Time  0.483335
2021-09-09 01:34:42.030919 : Epoch  3, Batch   1623, Loss  0.876618, Average Loss  0.870914, Time  0.399665
2021-09-09 01:34:43.842231 : Epoch  3, Batch   1624, Loss  0.877177, Average Loss  0.871081, Time  0.358514
2021-09-09 01:34:45.648393 : Epoch  3, Batch   1625, Loss  0.878247, Average Loss  0.871220, Time  0.365975
2021-09-09 01:34:47.522773 : Epoch  3, Batch   1626, Loss  0.844761, Average Loss  0.870982, Time  0.453025
2021-09-09 01:34:49.460789 : Epoch  3, Batch   1627, Loss  0.896510, Average Loss  0.871091, Time  0.466947
2021-09-09 01:34:51.353157 : Epoch  3, Batch   1628, Loss  0.886521, Average Loss  0.871237, Time  0.423570
2021-09-09 01:34:53.247784 : Epoch  3, Batch   1629, Loss  0.840610, Average Loss  0.870923, Time  0.399079
2021-09-09 01:34:55.124781 : Epoch  3, Batch   1630, Loss  0.862562, Average Loss  0.870880, Time  0.397163
2021-09-09 01:34:57.098797 : Epoch  3, Batch   1631, Loss  0.868172, Average Loss  0.870749, Time  0.492555
2021-09-09 01:34:59.053815 : Epoch  3, Batch   1632, Loss  0.887820, Average Loss  0.871006, Time  0.482095
2021-09-09 01:35:00.884773 : Epoch  3, Batch   1633, Loss  0.863763, Average Loss  0.871029, Time  0.363235
2021-09-09 01:35:02.668844 : Epoch  3, Batch   1634, Loss  0.882532, Average Loss  0.871008, Time  0.363813
2021-09-09 01:35:04.483803 : Epoch  3, Batch   1635, Loss  0.862668, Average Loss  0.870775, Time  0.382220
2021-09-09 01:35:06.370775 : Epoch  3, Batch   1636, Loss  0.873971, Average Loss  0.870773, Time  0.452878
2021-09-09 01:35:08.308188 : Epoch  3, Batch   1637, Loss  0.876745, Average Loss  0.870847, Time  0.464511
2021-09-09 01:35:10.177782 : Epoch  3, Batch   1638, Loss  0.855214, Average Loss  0.870691, Time  0.399915
2021-09-09 01:35:12.057868 : Epoch  3, Batch   1639, Loss  0.873198, Average Loss  0.870810, Time  0.397057
2021-09-09 01:35:13.935792 : Epoch  3, Batch   1640, Loss  0.864800, Average Loss  0.870714, Time  0.406751
2021-09-09 01:35:15.889148 : Epoch  3, Batch   1641, Loss  0.841098, Average Loss  0.870455, Time  0.489740
2021-09-09 01:35:17.832807 : Epoch  3, Batch   1642, Loss  0.893946, Average Loss  0.870469, Time  0.476096
2021-09-09 01:35:19.709951 : Epoch  3, Batch   1643, Loss  0.860405, Average Loss  0.870414, Time  0.397596
2021-09-09 01:35:21.585829 : Epoch  3, Batch   1644, Loss  0.880322, Average Loss  0.870453, Time  0.400056
2021-09-09 01:35:23.444016 : Epoch  3, Batch   1645, Loss  0.869300, Average Loss  0.870357, Time  0.398031
2021-09-09 01:35:25.406797 : Epoch  3, Batch   1646, Loss  0.892279, Average Loss  0.870413, Time  0.485565
2021-09-09 01:35:27.366954 : Epoch  3, Batch   1647, Loss  0.875732, Average Loss  0.870400, Time  0.486023
2021-09-09 01:35:29.282777 : Epoch  3, Batch   1648, Loss  0.844121, Average Loss  0.870279, Time  0.440241
2021-09-09 01:35:31.155815 : Epoch  3, Batch   1649, Loss  0.880043, Average Loss  0.870299, Time  0.399382
2021-09-09 01:35:33.023798 : Epoch  3, Batch   1650, Loss  0.857354, Average Loss  0.870199, Time  0.397011
2021-09-09 01:35:34.925797 : Epoch  3, Batch   1651, Loss  0.875673, Average Loss  0.870230, Time  0.408122
2021-09-09 01:35:36.871415 : Epoch  3, Batch   1652, Loss  0.877564, Average Loss  0.870407, Time  0.486318
2021-09-09 01:35:38.822222 : Epoch  3, Batch   1653, Loss  0.872206, Average Loss  0.870327, Time  0.479950
2021-09-09 01:35:40.705806 : Epoch  3, Batch   1654, Loss  0.879639, Average Loss  0.870360, Time  0.404564
2021-09-09 01:35:42.568234 : Epoch  3, Batch   1655, Loss  0.888072, Average Loss  0.870461, Time  0.401737
2021-09-09 01:35:44.427786 : Epoch  3, Batch   1656, Loss  0.898201, Average Loss  0.870663, Time  0.397943
2021-09-09 01:35:46.407171 : Epoch  3, Batch   1657, Loss  0.867786, Average Loss  0.870671, Time  0.491357
2021-09-09 01:35:48.364020 : Epoch  3, Batch   1658, Loss  0.846604, Average Loss  0.870575, Time  0.482219
2021-09-09 01:35:50.222152 : Epoch  3, Batch   1659, Loss  0.894072, Average Loss  0.870616, Time  0.397174
2021-09-09 01:35:52.096783 : Epoch  3, Batch   1660, Loss  0.836743, Average Loss  0.870481, Time  0.398783
2021-09-09 01:35:53.956888 : Epoch  3, Batch   1661, Loss  0.877116, Average Loss  0.870556, Time  0.398132
2021-09-09 01:35:55.899018 : Epoch  3, Batch   1662, Loss  0.825505, Average Loss  0.870196, Time  0.484276
2021-09-09 01:35:57.844118 : Epoch  3, Batch   1663, Loss  0.885475, Average Loss  0.870148, Time  0.481374
2021-09-09 01:35:59.730806 : Epoch  3, Batch   1664, Loss  0.858129, Average Loss  0.870031, Time  0.405496
2021-09-09 01:36:01.605187 : Epoch  3, Batch   1665, Loss  0.877822, Average Loss  0.870126, Time  0.396685
2021-09-09 01:36:03.491996 : Epoch  3, Batch   1666, Loss  0.873347, Average Loss  0.870131, Time  0.401461
2021-09-09 01:36:05.437143 : Epoch  3, Batch   1667, Loss  0.865442, Average Loss  0.870126, Time  0.484549
2021-09-09 01:36:07.409183 : Epoch  3, Batch   1668, Loss  0.878073, Average Loss  0.870131, Time  0.488438
2021-09-09 01:36:09.370508 : Epoch  3, Batch   1669, Loss  0.877875, Average Loss  0.870105, Time  0.481264
2021-09-09 01:36:11.243797 : Epoch  3, Batch   1670, Loss  0.871363, Average Loss  0.870035, Time  0.398240
2021-09-09 01:36:13.103935 : Epoch  3, Batch   1671, Loss  0.841895, Average Loss  0.869701, Time  0.398396
2021-09-09 01:36:14.900964 : Epoch  3, Batch   1672, Loss  0.855947, Average Loss  0.869583, Time  0.372648
2021-09-09 01:36:16.868847 : Epoch  3, Batch   1673, Loss  0.893655, Average Loss  0.869680, Time  0.495825
2021-09-09 01:36:18.813796 : Epoch  3, Batch   1674, Loss  0.870978, Average Loss  0.869798, Time  0.481334
2021-09-09 01:36:20.690823 : Epoch  3, Batch   1675, Loss  0.921461, Average Loss  0.870193, Time  0.397352
2021-09-09 01:36:22.561782 : Epoch  3, Batch   1676, Loss  0.880539, Average Loss  0.870199, Time  0.400862
2021-09-09 01:36:24.434213 : Epoch  3, Batch   1677, Loss  0.850324, Average Loss  0.870017, Time  0.399491
2021-09-09 01:36:26.381779 : Epoch  3, Batch   1678, Loss  0.873565, Average Loss  0.870070, Time  0.478714
2021-09-09 01:41:22.559731 : CheckPoint: Validation Loss  0.00060807, Best Loss  0.00058177
2021-09-09 01:41:24.507025 : Epoch  3, Batch   1679, Loss  0.874519, Average Loss  0.870068, Time  0.488602
2021-09-09 01:41:26.449019 : Epoch  3, Batch   1680, Loss  0.890243, Average Loss  0.870160, Time  0.482155
2021-09-09 01:41:28.290166 : Epoch  3, Batch   1681, Loss  0.869915, Average Loss  0.870168, Time  0.399307
2021-09-09 01:41:30.148243 : Epoch  3, Batch   1682, Loss  0.879337, Average Loss  0.870160, Time  0.401086
2021-09-09 01:41:32.014905 : Epoch  3, Batch   1683, Loss  0.867410, Average Loss  0.870151, Time  0.396917
2021-09-09 01:41:33.968786 : Epoch  3, Batch   1684, Loss  0.887910, Average Loss  0.870232, Time  0.488961
2021-09-09 01:41:35.904834 : Epoch  3, Batch   1685, Loss  0.876523, Average Loss  0.870204, Time  0.482680
2021-09-09 01:41:37.775159 : Epoch  3, Batch   1686, Loss  0.847310, Average Loss  0.870150, Time  0.396404
2021-09-09 01:41:39.644780 : Epoch  3, Batch   1687, Loss  0.870876, Average Loss  0.870171, Time  0.397817
2021-09-09 01:41:41.506118 : Epoch  3, Batch   1688, Loss  0.868475, Average Loss  0.870245, Time  0.396660
2021-09-09 01:41:43.464193 : Epoch  3, Batch   1689, Loss  0.887477, Average Loss  0.870367, Time  0.487315
2021-09-09 01:41:45.411266 : Epoch  3, Batch   1690, Loss  0.865504, Average Loss  0.870327, Time  0.485320
2021-09-09 01:41:47.297153 : Epoch  3, Batch   1691, Loss  0.869939, Average Loss  0.870366, Time  0.415653
2021-09-09 01:41:49.151247 : Epoch  3, Batch   1692, Loss  0.847458, Average Loss  0.870172, Time  0.398561
2021-09-09 01:41:51.045180 : Epoch  3, Batch   1693, Loss  0.862492, Average Loss  0.870201, Time  0.399139
2021-09-09 01:41:52.950873 : Epoch  3, Batch   1694, Loss  0.889130, Average Loss  0.870245, Time  0.445351
2021-09-09 01:41:54.909214 : Epoch  3, Batch   1695, Loss  0.875265, Average Loss  0.870301, Time  0.488578
2021-09-09 01:41:56.849827 : Epoch  3, Batch   1696, Loss  0.862853, Average Loss  0.870293, Time  0.479888
2021-09-09 01:41:58.709196 : Epoch  3, Batch   1697, Loss  0.853777, Average Loss  0.870239, Time  0.397186
2021-09-09 01:42:00.502113 : Epoch  3, Batch   1698, Loss  0.913598, Average Loss  0.870615, Time  0.355260
2021-09-09 01:42:02.324052 : Epoch  3, Batch   1699, Loss  0.866669, Average Loss  0.870559, Time  0.404161
2021-09-09 01:42:04.251925 : Epoch  3, Batch   1700, Loss  0.835896, Average Loss  0.870368, Time  0.456284
2021-09-09 01:42:06.091203 : Epoch  3, Batch   1701, Loss  0.848675, Average Loss  0.870310, Time  0.410259
2021-09-09 01:42:07.874264 : Epoch  3, Batch   1702, Loss  0.838677, Average Loss  0.870055, Time  0.357381
2021-09-09 01:42:09.656004 : Epoch  3, Batch   1703, Loss  0.879068, Average Loss  0.870098, Time  0.357652
2021-09-09 01:42:11.546865 : Epoch  3, Batch   1704, Loss  0.871080, Average Loss  0.870188, Time  0.447707
2021-09-09 01:42:13.444519 : Epoch  3, Batch   1705, Loss  0.885044, Average Loss  0.870233, Time  0.455520
2021-09-09 01:42:15.394381 : Epoch  3, Batch   1706, Loss  0.836051, Average Loss  0.870080, Time  0.454775
2021-09-09 01:42:17.172775 : Epoch  3, Batch   1707, Loss  0.895594, Average Loss  0.870106, Time  0.359684
2021-09-09 01:42:19.074872 : Epoch  3, Batch   1708, Loss  0.845877, Average Loss  0.869904, Time  0.401465
2021-09-09 01:42:20.875703 : Epoch  3, Batch   1709, Loss  0.841046, Average Loss  0.869755, Time  0.383192
2021-09-09 01:42:22.804774 : Epoch  3, Batch   1710, Loss  0.857184, Average Loss  0.869635, Time  0.455666
2021-09-09 01:42:24.663171 : Epoch  3, Batch   1711, Loss  0.843265, Average Loss  0.869489, Time  0.435368
2021-09-09 01:42:26.456216 : Epoch  3, Batch   1712, Loss  0.873918, Average Loss  0.869366, Time  0.366949
2021-09-09 01:42:28.246176 : Epoch  3, Batch   1713, Loss  0.888737, Average Loss  0.869584, Time  0.363529
2021-09-09 01:42:30.078852 : Epoch  3, Batch   1714, Loss  0.869985, Average Loss  0.869486, Time  0.414891
2021-09-09 01:42:31.942213 : Epoch  3, Batch   1715, Loss  0.870427, Average Loss  0.869445, Time  0.449730
2021-09-09 01:42:33.720932 : Epoch  3, Batch   1716, Loss  0.859699, Average Loss  0.869333, Time  0.358638
2021-09-09 01:42:35.499234 : Epoch  3, Batch   1717, Loss  0.865513, Average Loss  0.869372, Time  0.357203
2021-09-09 01:42:37.375994 : Epoch  3, Batch   1718, Loss  0.883111, Average Loss  0.869342, Time  0.417098
2021-09-09 01:42:39.333233 : Epoch  3, Batch   1719, Loss  0.890854, Average Loss  0.869500, Time  0.490549
2021-09-09 01:42:41.280575 : Epoch  3, Batch   1720, Loss  0.887581, Average Loss  0.869663, Time  0.480518
2021-09-09 01:42:43.141190 : Epoch  3, Batch   1721, Loss  0.868514, Average Loss  0.869641, Time  0.398933
2021-09-09 01:42:45.013306 : Epoch  3, Batch   1722, Loss  0.872134, Average Loss  0.869563, Time  0.400158
2021-09-09 01:42:46.832194 : Epoch  3, Batch   1723, Loss  0.890068, Average Loss  0.869754, Time  0.372859
2021-09-09 01:42:48.732665 : Epoch  3, Batch   1724, Loss  0.898336, Average Loss  0.869930, Time  0.465477
2021-09-09 01:42:50.592907 : Epoch  3, Batch   1725, Loss  0.876268, Average Loss  0.869999, Time  0.430468
2021-09-09 01:42:52.376778 : Epoch  3, Batch   1726, Loss  0.861078, Average Loss  0.869840, Time  0.363679
2021-09-09 01:42:54.259781 : Epoch  3, Batch   1727, Loss  0.848558, Average Loss  0.869747, Time  0.416781
2021-09-09 01:42:56.147864 : Epoch  3, Batch   1728, Loss  0.854699, Average Loss  0.869707, Time  0.424087
2021-09-09 01:42:58.071940 : Epoch  3, Batch   1729, Loss  0.887394, Average Loss  0.869911, Time  0.457536
2021-09-09 01:42:59.924698 : Epoch  3, Batch   1730, Loss  0.867890, Average Loss  0.869879, Time  0.429447
2021-09-09 01:43:01.813805 : Epoch  3, Batch   1731, Loss  0.867401, Average Loss  0.869968, Time  0.411702
2021-09-09 01:43:03.709830 : Epoch  3, Batch   1732, Loss  0.867916, Average Loss  0.870017, Time  0.400928
2021-09-09 01:43:05.580836 : Epoch  3, Batch   1733, Loss  0.875382, Average Loss  0.870070, Time  0.397017
2021-09-09 01:43:07.558087 : Epoch  3, Batch   1734, Loss  0.871590, Average Loss  0.870140, Time  0.492793
2021-09-09 01:43:09.504393 : Epoch  3, Batch   1735, Loss  0.864372, Average Loss  0.869960, Time  0.489207
2021-09-09 01:43:11.372225 : Epoch  3, Batch   1736, Loss  0.842722, Average Loss  0.869888, Time  0.403099
2021-09-09 01:43:13.243976 : Epoch  3, Batch   1737, Loss  0.894882, Average Loss  0.870028, Time  0.399013
2021-09-09 01:43:15.173788 : Epoch  3, Batch   1738, Loss  0.863272, Average Loss  0.869926, Time  0.463716
2021-09-09 01:43:17.151460 : Epoch  3, Batch   1739, Loss  0.851158, Average Loss  0.869860, Time  0.478983
2021-09-09 01:43:19.114737 : Epoch  3, Batch   1740, Loss  0.869972, Average Loss  0.869766, Time  0.491982
2021-09-09 01:43:21.005777 : Epoch  3, Batch   1741, Loss  0.861643, Average Loss  0.869702, Time  0.437090
2021-09-09 01:43:22.776805 : Epoch  3, Batch   1742, Loss  0.870590, Average Loss  0.869570, Time  0.359239
2021-09-09 01:43:24.552979 : Epoch  3, Batch   1743, Loss  0.835979, Average Loss  0.869270, Time  0.358208
2021-09-09 01:43:26.464859 : Epoch  3, Batch   1744, Loss  0.871852, Average Loss  0.869137, Time  0.443073
2021-09-09 01:43:28.420823 : Epoch  3, Batch   1745, Loss  0.895892, Average Loss  0.869381, Time  0.486906
2021-09-09 01:43:30.389415 : Epoch  3, Batch   1746, Loss  0.870899, Average Loss  0.869389, Time  0.492900
2021-09-09 01:43:32.258161 : Epoch  3, Batch   1747, Loss  0.857705, Average Loss  0.869369, Time  0.403652
2021-09-09 01:43:34.115200 : Epoch  3, Batch   1748, Loss  0.881315, Average Loss  0.869449, Time  0.401999
2021-09-09 01:43:35.972418 : Epoch  3, Batch   1749, Loss  0.884580, Average Loss  0.869450, Time  0.396469
2021-09-09 01:43:37.916432 : Epoch  3, Batch   1750, Loss  0.889664, Average Loss  0.869507, Time  0.483070
2021-09-09 01:43:39.861841 : Epoch  3, Batch   1751, Loss  0.864598, Average Loss  0.869525, Time  0.481289
2021-09-09 01:43:41.730639 : Epoch  3, Batch   1752, Loss  0.856698, Average Loss  0.869410, Time  0.397882
2021-09-09 01:43:43.599147 : Epoch  3, Batch   1753, Loss  0.848677, Average Loss  0.869437, Time  0.398387
2021-09-09 01:43:45.457408 : Epoch  3, Batch   1754, Loss  0.858343, Average Loss  0.869409, Time  0.397471
2021-09-09 01:43:47.343982 : Epoch  3, Batch   1755, Loss  0.876935, Average Loss  0.869430, Time  0.455103
2021-09-09 01:43:49.191776 : Epoch  3, Batch   1756, Loss  0.881543, Average Loss  0.869493, Time  0.431880
2021-09-09 01:43:50.961154 : Epoch  3, Batch   1757, Loss  0.855328, Average Loss  0.869402, Time  0.358371
2021-09-09 01:43:52.726249 : Epoch  3, Batch   1758, Loss  0.889981, Average Loss  0.869403, Time  0.357944
2021-09-09 01:43:54.563797 : Epoch  3, Batch   1759, Loss  0.881724, Average Loss  0.869559, Time  0.426902
2021-09-09 01:43:56.424275 : Epoch  3, Batch   1760, Loss  0.861293, Average Loss  0.869602, Time  0.452251
2021-09-09 01:43:58.197964 : Epoch  3, Batch   1761, Loss  0.864780, Average Loss  0.869654, Time  0.356278
2021-09-09 01:43:59.974838 : Epoch  3, Batch   1762, Loss  0.866447, Average Loss  0.869484, Time  0.357180
2021-09-09 01:44:01.794862 : Epoch  3, Batch   1763, Loss  0.854444, Average Loss  0.869310, Time  0.379401
2021-09-09 01:44:03.662778 : Epoch  3, Batch   1764, Loss  0.858337, Average Loss  0.869411, Time  0.453032
2021-09-09 01:44:05.572199 : Epoch  3, Batch   1765, Loss  0.866683, Average Loss  0.869340, Time  0.440679
2021-09-09 01:44:07.460828 : Epoch  3, Batch   1766, Loss  0.886755, Average Loss  0.869414, Time  0.412615
2021-09-09 01:44:09.277958 : Epoch  3, Batch   1767, Loss  0.881219, Average Loss  0.869442, Time  0.361231
2021-09-09 01:44:11.119771 : Epoch  3, Batch   1768, Loss  0.877103, Average Loss  0.869340, Time  0.423765
2021-09-09 01:44:13.006164 : Epoch  3, Batch   1769, Loss  0.900643, Average Loss  0.869551, Time  0.458097
2021-09-09 01:44:14.997362 : Epoch  3, Batch   1770, Loss  0.868442, Average Loss  0.869741, Time  0.451863
2021-09-09 01:44:16.785167 : Epoch  3, Batch   1771, Loss  0.845718, Average Loss  0.869481, Time  0.374969
2021-09-09 01:44:18.584371 : Epoch  3, Batch   1772, Loss  0.883309, Average Loss  0.869531, Time  0.377996
2021-09-09 01:44:20.469080 : Epoch  3, Batch   1773, Loss  0.872037, Average Loss  0.869481, Time  0.420996
2021-09-09 01:44:22.382189 : Epoch  3, Batch   1774, Loss  0.851747, Average Loss  0.869284, Time  0.456112
2021-09-09 01:44:24.247830 : Epoch  3, Batch   1775, Loss  0.858730, Average Loss  0.869265, Time  0.397370
2021-09-09 01:44:26.112454 : Epoch  3, Batch   1776, Loss  0.870991, Average Loss  0.869145, Time  0.399155
2021-09-09 01:44:27.972780 : Epoch  3, Batch   1777, Loss  0.877301, Average Loss  0.869196, Time  0.396866
2021-09-09 01:44:29.920975 : Epoch  3, Batch   1778, Loss  0.853747, Average Loss  0.869238, Time  0.484702
2021-09-09 01:49:22.140033 : CheckPoint: Validation Loss  0.00061663, Best Loss  0.00058177
2021-09-09 01:49:23.908769 : Epoch  3, Batch   1779, Loss  0.874213, Average Loss  0.869441, Time  0.357375
2021-09-09 01:49:25.810085 : Epoch  3, Batch   1780, Loss  0.862805, Average Loss  0.869454, Time  0.426822
2021-09-09 01:49:27.744039 : Epoch  3, Batch   1781, Loss  0.871800, Average Loss  0.869481, Time  0.484401
2021-09-09 01:49:29.680207 : Epoch  3, Batch   1782, Loss  0.850245, Average Loss  0.869325, Time  0.485602
2021-09-09 01:49:31.534874 : Epoch  3, Batch   1783, Loss  0.859079, Average Loss  0.869456, Time  0.402511
2021-09-09 01:49:33.396966 : Epoch  3, Batch   1784, Loss  0.884170, Average Loss  0.869448, Time  0.397782
2021-09-09 01:49:35.251771 : Epoch  3, Batch   1785, Loss  0.886839, Average Loss  0.869653, Time  0.411760
2021-09-09 01:49:37.194384 : Epoch  3, Batch   1786, Loss  0.884562, Average Loss  0.869872, Time  0.494334
2021-09-09 01:49:39.078776 : Epoch  3, Batch   1787, Loss  0.869634, Average Loss  0.869830, Time  0.432146
2021-09-09 01:49:40.857924 : Epoch  3, Batch   1788, Loss  0.863529, Average Loss  0.869696, Time  0.361643
2021-09-09 01:49:42.642147 : Epoch  3, Batch   1789, Loss  0.843193, Average Loss  0.869639, Time  0.357507
2021-09-09 01:49:44.473168 : Epoch  3, Batch   1790, Loss  0.878232, Average Loss  0.869853, Time  0.417157
2021-09-09 01:49:46.440962 : Epoch  3, Batch   1791, Loss  0.851386, Average Loss  0.869818, Time  0.497986
2021-09-09 01:49:48.353835 : Epoch  3, Batch   1792, Loss  0.876720, Average Loss  0.869922, Time  0.450235
2021-09-09 01:49:50.225179 : Epoch  3, Batch   1793, Loss  0.854446, Average Loss  0.869790, Time  0.397380
2021-09-09 01:49:52.086945 : Epoch  3, Batch   1794, Loss  0.852013, Average Loss  0.869813, Time  0.404403
2021-09-09 01:49:53.943776 : Epoch  3, Batch   1795, Loss  0.882590, Average Loss  0.869942, Time  0.400483
2021-09-09 01:49:55.890933 : Epoch  3, Batch   1796, Loss  0.899005, Average Loss  0.870020, Time  0.484649
2021-09-09 01:49:57.840966 : Epoch  3, Batch   1797, Loss  0.872105, Average Loss  0.870080, Time  0.480855
2021-09-09 01:49:59.701780 : Epoch  3, Batch   1798, Loss  0.869604, Average Loss  0.870174, Time  0.397322
2021-09-09 01:50:01.546290 : Epoch  3, Batch   1799, Loss  0.878109, Average Loss  0.870204, Time  0.399461
2021-09-09 01:50:03.375042 : Epoch  3, Batch   1800, Loss  0.884474, Average Loss  0.870246, Time  0.396218
2021-09-09 01:50:05.325440 : Epoch  3, Batch   1801, Loss  0.848880, Average Loss  0.870215, Time  0.491252
2021-09-09 01:50:07.270184 : Epoch  3, Batch   1802, Loss  0.853071, Average Loss  0.870078, Time  0.482130
2021-09-09 01:50:09.128331 : Epoch  3, Batch   1803, Loss  0.847138, Average Loss  0.869947, Time  0.399831
2021-09-09 01:50:11.007359 : Epoch  3, Batch   1804, Loss  0.893509, Average Loss  0.869987, Time  0.401057
2021-09-09 01:50:12.870842 : Epoch  3, Batch   1805, Loss  0.864628, Average Loss  0.869774, Time  0.398781
2021-09-09 01:50:14.922307 : Epoch  3, Batch   1806, Loss  0.880570, Average Loss  0.869928, Time  0.552829
2021-09-09 01:50:16.886775 : Epoch  3, Batch   1807, Loss  0.865367, Average Loss  0.869894, Time  0.480775
2021-09-09 01:50:18.746792 : Epoch  3, Batch   1808, Loss  0.848971, Average Loss  0.869495, Time  0.399885
2021-09-09 01:50:20.615920 : Epoch  3, Batch   1809, Loss  0.859128, Average Loss  0.869364, Time  0.406029
2021-09-09 01:50:22.494860 : Epoch  3, Batch   1810, Loss  0.892095, Average Loss  0.869554, Time  0.397764
2021-09-09 01:50:24.450865 : Epoch  3, Batch   1811, Loss  0.859174, Average Loss  0.869483, Time  0.489755
2021-09-09 01:50:26.403017 : Epoch  3, Batch   1812, Loss  0.854577, Average Loss  0.869297, Time  0.483415
2021-09-09 01:50:28.272782 : Epoch  3, Batch   1813, Loss  0.845039, Average Loss  0.869267, Time  0.376051
2021-09-09 01:50:30.136038 : Epoch  3, Batch   1814, Loss  0.890912, Average Loss  0.869336, Time  0.399451
2021-09-09 01:50:31.999780 : Epoch  3, Batch   1815, Loss  0.858243, Average Loss  0.869333, Time  0.399096
2021-09-09 01:50:33.947965 : Epoch  3, Batch   1816, Loss  0.877285, Average Loss  0.869503, Time  0.479299
2021-09-09 01:50:35.888897 : Epoch  3, Batch   1817, Loss  0.888274, Average Loss  0.869747, Time  0.485431
2021-09-09 01:50:37.839781 : Epoch  3, Batch   1818, Loss  0.898686, Average Loss  0.869819, Time  0.479747
2021-09-09 01:50:39.702329 : Epoch  3, Batch   1819, Loss  0.875831, Average Loss  0.869945, Time  0.399911
2021-09-09 01:50:41.570825 : Epoch  3, Batch   1820, Loss  0.855686, Average Loss  0.869849, Time  0.397798
2021-09-09 01:50:43.408160 : Epoch  3, Batch   1821, Loss  0.880666, Average Loss  0.869738, Time  0.369533
2021-09-09 01:50:45.285690 : Epoch  3, Batch   1822, Loss  0.869865, Average Loss  0.869796, Time  0.452849
2021-09-09 01:50:47.047042 : Epoch  3, Batch   1823, Loss  0.885564, Average Loss  0.869840, Time  0.339763
2021-09-09 01:50:48.915783 : Epoch  3, Batch   1824, Loss  0.853347, Average Loss  0.869721, Time  0.399030
2021-09-09 01:50:50.770328 : Epoch  3, Batch   1825, Loss  0.876572, Average Loss  0.869713, Time  0.398158
2021-09-09 01:50:52.708875 : Epoch  3, Batch   1826, Loss  0.875197, Average Loss  0.869865, Time  0.486690
2021-09-09 01:50:54.665326 : Epoch  3, Batch   1827, Loss  0.862049, Average Loss  0.869693, Time  0.496643
2021-09-09 01:50:56.594787 : Epoch  3, Batch   1828, Loss  0.871137, Average Loss  0.869616, Time  0.467638
2021-09-09 01:50:58.476099 : Epoch  3, Batch   1829, Loss  0.863207, Average Loss  0.869729, Time  0.402796
2021-09-09 01:51:00.328204 : Epoch  3, Batch   1830, Loss  0.831036, Average Loss  0.869571, Time  0.399923
2021-09-09 01:51:02.188853 : Epoch  3, Batch   1831, Loss  0.858345, Average Loss  0.869522, Time  0.410232
2021-09-09 01:51:04.138784 : Epoch  3, Batch   1832, Loss  0.887623, Average Loss  0.869521, Time  0.485820
2021-09-09 01:51:06.085218 : Epoch  3, Batch   1833, Loss  0.871122, Average Loss  0.869558, Time  0.482856
2021-09-09 01:51:07.952781 : Epoch  3, Batch   1834, Loss  0.871652, Average Loss  0.869504, Time  0.401313
2021-09-09 01:51:09.809918 : Epoch  3, Batch   1835, Loss  0.874633, Average Loss  0.869563, Time  0.396919
2021-09-09 01:51:11.672782 : Epoch  3, Batch   1836, Loss  0.855743, Average Loss  0.869472, Time  0.397574
2021-09-09 01:51:13.629225 : Epoch  3, Batch   1837, Loss  0.899217, Average Loss  0.869585, Time  0.486661
2021-09-09 01:51:15.576784 : Epoch  3, Batch   1838, Loss  0.901954, Average Loss  0.869818, Time  0.478396
2021-09-09 01:51:17.431382 : Epoch  3, Batch   1839, Loss  0.853470, Average Loss  0.869720, Time  0.397321
2021-09-09 01:51:19.284944 : Epoch  3, Batch   1840, Loss  0.861018, Average Loss  0.869701, Time  0.399395
2021-09-09 01:51:21.144324 : Epoch  3, Batch   1841, Loss  0.895471, Average Loss  0.869973, Time  0.396283
2021-09-09 01:51:23.108825 : Epoch  3, Batch   1842, Loss  0.893445, Average Loss  0.869970, Time  0.488297
2021-09-09 01:51:25.051504 : Epoch  3, Batch   1843, Loss  0.868871, Average Loss  0.870012, Time  0.483953
2021-09-09 01:51:26.908777 : Epoch  3, Batch   1844, Loss  0.843377, Average Loss  0.869828, Time  0.398892
2021-09-09 01:51:28.760039 : Epoch  3, Batch   1845, Loss  0.850483, Average Loss  0.869734, Time  0.398550
2021-09-09 01:51:30.615170 : Epoch  3, Batch   1846, Loss  0.867899, Average Loss  0.869612, Time  0.398438
2021-09-09 01:51:32.554380 : Epoch  3, Batch   1847, Loss  0.875066, Average Loss  0.869608, Time  0.488298
2021-09-09 01:51:34.490459 : Epoch  3, Batch   1848, Loss  0.890397, Average Loss  0.869840, Time  0.480111
2021-09-09 01:51:36.345155 : Epoch  3, Batch   1849, Loss  0.874091, Average Loss  0.869810, Time  0.390937
2021-09-09 01:51:38.204224 : Epoch  3, Batch   1850, Loss  0.889244, Average Loss  0.869969, Time  0.401347
2021-09-09 01:51:40.055183 : Epoch  3, Batch   1851, Loss  0.862382, Average Loss  0.869903, Time  0.396094
2021-09-09 01:51:42.009828 : Epoch  3, Batch   1852, Loss  0.858903, Average Loss  0.869810, Time  0.486400
2021-09-09 01:51:43.956159 : Epoch  3, Batch   1853, Loss  0.895291, Average Loss  0.869925, Time  0.479012
2021-09-09 01:51:45.817802 : Epoch  3, Batch   1854, Loss  0.865131, Average Loss  0.869853, Time  0.397660
2021-09-09 01:51:47.672104 : Epoch  3, Batch   1855, Loss  0.858187, Average Loss  0.869703, Time  0.399374
2021-09-09 01:51:49.526141 : Epoch  3, Batch   1856, Loss  0.859298, Average Loss  0.869509, Time  0.398312
2021-09-09 01:51:51.478271 : Epoch  3, Batch   1857, Loss  0.864642, Average Loss  0.869493, Time  0.489956
2021-09-09 01:51:53.424930 : Epoch  3, Batch   1858, Loss  0.868794, Average Loss  0.869604, Time  0.482556
2021-09-09 01:51:55.290911 : Epoch  3, Batch   1859, Loss  0.866500, Average Loss  0.869466, Time  0.397216
2021-09-09 01:51:57.145891 : Epoch  3, Batch   1860, Loss  0.846558, Average Loss  0.869515, Time  0.397469
2021-09-09 01:51:58.948038 : Epoch  3, Batch   1861, Loss  0.884015, Average Loss  0.869550, Time  0.357024
2021-09-09 01:52:00.816106 : Epoch  3, Batch   1862, Loss  0.873660, Average Loss  0.869790, Time  0.454177
2021-09-09 01:52:02.766508 : Epoch  3, Batch   1863, Loss  0.874621, Average Loss  0.869736, Time  0.484158
2021-09-09 01:52:04.629619 : Epoch  3, Batch   1864, Loss  0.879280, Average Loss  0.869842, Time  0.403867
2021-09-09 01:52:06.511827 : Epoch  3, Batch   1865, Loss  0.865391, Average Loss  0.869780, Time  0.404912
2021-09-09 01:52:08.388174 : Epoch  3, Batch   1866, Loss  0.851702, Average Loss  0.869671, Time  0.407026
2021-09-09 01:52:10.325786 : Epoch  3, Batch   1867, Loss  0.899455, Average Loss  0.869841, Time  0.485454
2021-09-09 01:52:12.272259 : Epoch  3, Batch   1868, Loss  0.849170, Average Loss  0.869697, Time  0.479466
2021-09-09 01:52:14.125779 : Epoch  3, Batch   1869, Loss  0.827312, Average Loss  0.869444, Time  0.398566
2021-09-09 01:52:15.993076 : Epoch  3, Batch   1870, Loss  0.852854, Average Loss  0.869352, Time  0.398063
2021-09-09 01:52:17.891871 : Epoch  3, Batch   1871, Loss  0.855618, Average Loss  0.869420, Time  0.399039
2021-09-09 01:52:19.769802 : Epoch  3, Batch   1872, Loss  0.865294, Average Loss  0.869467, Time  0.454418
2021-09-09 01:52:21.692781 : Epoch  3, Batch   1873, Loss  0.900466, Average Loss  0.869501, Time  0.462900
2021-09-09 01:52:23.589979 : Epoch  3, Batch   1874, Loss  0.859411, Average Loss  0.869443, Time  0.406036
2021-09-09 01:52:25.494844 : Epoch  3, Batch   1875, Loss  0.869830, Average Loss  0.869185, Time  0.398711
2021-09-09 01:52:27.363382 : Epoch  3, Batch   1876, Loss  0.859147, Average Loss  0.869078, Time  0.397761
2021-09-09 01:52:29.378132 : Epoch  3, Batch   1877, Loss  0.898083, Average Loss  0.869317, Time  0.493449
2021-09-09 01:52:31.323007 : Epoch  3, Batch   1878, Loss  0.867239, Average Loss  0.869285, Time  0.484312
2021-09-09 01:57:24.414928 : CheckPoint: Validation Loss  0.00059774, Best Loss  0.00058177
2021-09-09 01:57:26.257800 : Epoch  3, Batch   1879, Loss  0.867611, Average Loss  0.869251, Time  0.417722
2021-09-09 01:57:28.125793 : Epoch  3, Batch   1880, Loss  0.872907, Average Loss  0.869164, Time  0.455509
2021-09-09 01:57:29.974174 : Epoch  3, Batch   1881, Loss  0.901732, Average Loss  0.869323, Time  0.382222
2021-09-09 01:57:31.764007 : Epoch  3, Batch   1882, Loss  0.884608, Average Loss  0.869349, Time  0.357670
2021-09-09 01:57:33.695779 : Epoch  3, Batch   1883, Loss  0.877278, Average Loss  0.869399, Time  0.397963
2021-09-09 01:57:35.631432 : Epoch  3, Batch   1884, Loss  0.853858, Average Loss  0.869229, Time  0.474262
2021-09-09 01:57:37.591032 : Epoch  3, Batch   1885, Loss  0.877824, Average Loss  0.869235, Time  0.487438
2021-09-09 01:57:39.550778 : Epoch  3, Batch   1886, Loss  0.860412, Average Loss  0.869301, Time  0.488763
2021-09-09 01:57:41.410222 : Epoch  3, Batch   1887, Loss  0.874688, Average Loss  0.869320, Time  0.399738
2021-09-09 01:57:43.249803 : Epoch  3, Batch   1888, Loss  0.861137, Average Loss  0.869283, Time  0.367698
2021-09-09 01:57:45.054690 : Epoch  3, Batch   1889, Loss  0.856020, Average Loss  0.869126, Time  0.372551
2021-09-09 01:57:46.983087 : Epoch  3, Batch   1890, Loss  0.840412, Average Loss  0.869000, Time  0.453798
2021-09-09 01:57:48.955800 : Epoch  3, Batch   1891, Loss  0.903589, Average Loss  0.869168, Time  0.480122
2021-09-09 01:57:50.837858 : Epoch  3, Batch   1892, Loss  0.837698, Average Loss  0.869120, Time  0.414402
2021-09-09 01:57:52.740825 : Epoch  3, Batch   1893, Loss  0.854036, Average Loss  0.869077, Time  0.411401
2021-09-09 01:57:54.602801 : Epoch  3, Batch   1894, Loss  0.863654, Average Loss  0.868950, Time  0.400826
2021-09-09 01:57:56.540782 : Epoch  3, Batch   1895, Loss  0.882528, Average Loss  0.868986, Time  0.469923
2021-09-09 01:57:58.393792 : Epoch  3, Batch   1896, Loss  0.830891, Average Loss  0.868826, Time  0.433927
2021-09-09 01:58:00.221787 : Epoch  3, Batch   1897, Loss  0.831526, Average Loss  0.868715, Time  0.405884
2021-09-09 01:58:02.025229 : Epoch  3, Batch   1898, Loss  0.887229, Average Loss  0.868583, Time  0.357436
2021-09-09 01:58:03.880889 : Epoch  3, Batch   1899, Loss  0.893524, Average Loss  0.868718, Time  0.417826
2021-09-09 01:58:05.779918 : Epoch  3, Batch   1900, Loss  0.872713, Average Loss  0.868902, Time  0.458045
2021-09-09 01:58:07.743782 : Epoch  3, Batch   1901, Loss  0.860077, Average Loss  0.868959, Time  0.498311
2021-09-09 01:58:09.625870 : Epoch  3, Batch   1902, Loss  0.878512, Average Loss  0.869158, Time  0.409018
2021-09-09 01:58:11.496829 : Epoch  3, Batch   1903, Loss  0.860734, Average Loss  0.869066, Time  0.398857
2021-09-09 01:58:13.372800 : Epoch  3, Batch   1904, Loss  0.846618, Average Loss  0.868944, Time  0.401305
2021-09-09 01:58:15.314780 : Epoch  3, Batch   1905, Loss  0.862207, Average Loss  0.868830, Time  0.478802
2021-09-09 01:58:17.212347 : Epoch  3, Batch   1906, Loss  0.860255, Average Loss  0.868951, Time  0.440746
2021-09-09 01:58:19.032821 : Epoch  3, Batch   1907, Loss  0.876384, Average Loss  0.868855, Time  0.378156
2021-09-09 01:58:20.833135 : Epoch  3, Batch   1908, Loss  0.871843, Average Loss  0.868985, Time  0.358037
2021-09-09 01:58:22.730799 : Epoch  3, Batch   1909, Loss  0.884133, Average Loss  0.869200, Time  0.447778
2021-09-09 01:58:24.681930 : Epoch  3, Batch   1910, Loss  0.858455, Average Loss  0.869206, Time  0.490339
2021-09-09 01:58:26.659610 : Epoch  3, Batch   1911, Loss  0.840214, Average Loss  0.869191, Time  0.481264
2021-09-09 01:58:28.541157 : Epoch  3, Batch   1912, Loss  0.886908, Average Loss  0.869256, Time  0.397568
2021-09-09 01:58:30.411160 : Epoch  3, Batch   1913, Loss  0.891190, Average Loss  0.869268, Time  0.399215
2021-09-09 01:58:32.273138 : Epoch  3, Batch   1914, Loss  0.850959, Average Loss  0.869173, Time  0.398749
2021-09-09 01:58:34.256322 : Epoch  3, Batch   1915, Loss  0.852096, Average Loss  0.869082, Time  0.487188
2021-09-09 01:58:36.234284 : Epoch  3, Batch   1916, Loss  0.884673, Average Loss  0.869206, Time  0.481822
2021-09-09 01:58:38.095829 : Epoch  3, Batch   1917, Loss  0.908403, Average Loss  0.869421, Time  0.397089
2021-09-09 01:58:39.969784 : Epoch  3, Batch   1918, Loss  0.847668, Average Loss  0.869244, Time  0.399634
2021-09-09 01:58:41.846742 : Epoch  3, Batch   1919, Loss  0.868362, Average Loss  0.869131, Time  0.397201
2021-09-09 01:58:43.806178 : Epoch  3, Batch   1920, Loss  0.867712, Average Loss  0.869032, Time  0.486613
2021-09-09 01:58:45.756194 : Epoch  3, Batch   1921, Loss  0.865785, Average Loss  0.869018, Time  0.480366
2021-09-09 01:58:47.620280 : Epoch  3, Batch   1922, Loss  0.850493, Average Loss  0.868910, Time  0.403038
2021-09-09 01:58:49.485879 : Epoch  3, Batch   1923, Loss  0.865897, Average Loss  0.868789, Time  0.398792
2021-09-09 01:58:51.349926 : Epoch  3, Batch   1924, Loss  0.851989, Average Loss  0.868557, Time  0.402132
2021-09-09 01:58:53.310827 : Epoch  3, Batch   1925, Loss  0.866986, Average Loss  0.868511, Time  0.487117
2021-09-09 01:58:55.298022 : Epoch  3, Batch   1926, Loss  0.843050, Average Loss  0.868421, Time  0.488427
2021-09-09 01:58:57.241781 : Epoch  3, Batch   1927, Loss  0.866494, Average Loss  0.868511, Time  0.476895
2021-09-09 01:58:59.106936 : Epoch  3, Batch   1928, Loss  0.882026, Average Loss  0.868647, Time  0.398341
2021-09-09 01:59:00.978779 : Epoch  3, Batch   1929, Loss  0.870136, Average Loss  0.868561, Time  0.397306
2021-09-09 01:59:02.861785 : Epoch  3, Batch   1930, Loss  0.900139, Average Loss  0.868722, Time  0.401952
2021-09-09 01:59:04.817910 : Epoch  3, Batch   1931, Loss  0.868230, Average Loss  0.868726, Time  0.487042
2021-09-09 01:59:06.764050 : Epoch  3, Batch   1932, Loss  0.876924, Average Loss  0.868771, Time  0.479236
2021-09-09 01:59:08.634829 : Epoch  3, Batch   1933, Loss  0.878390, Average Loss  0.868786, Time  0.394557
2021-09-09 01:59:10.424027 : Epoch  3, Batch   1934, Loss  0.863032, Average Loss  0.868744, Time  0.358529
2021-09-09 01:59:12.234793 : Epoch  3, Batch   1935, Loss  0.883541, Average Loss  0.868839, Time  0.383720
2021-09-09 01:59:14.140442 : Epoch  3, Batch   1936, Loss  0.872747, Average Loss  0.868990, Time  0.452531
2021-09-09 01:59:15.942771 : Epoch  3, Batch   1937, Loss  0.887188, Average Loss  0.868951, Time  0.359481
2021-09-09 01:59:17.742080 : Epoch  3, Batch   1938, Loss  0.863119, Average Loss  0.868950, Time  0.358894
2021-09-09 01:59:19.538923 : Epoch  3, Batch   1939, Loss  0.868637, Average Loss  0.869038, Time  0.378966
2021-09-09 01:59:21.409027 : Epoch  3, Batch   1940, Loss  0.903357, Average Loss  0.869205, Time  0.454919
2021-09-09 01:59:23.187703 : Epoch  3, Batch   1941, Loss  0.866429, Average Loss  0.869229, Time  0.357141
2021-09-09 01:59:25.007809 : Epoch  3, Batch   1942, Loss  0.874946, Average Loss  0.869250, Time  0.360077
2021-09-09 01:59:26.789931 : Epoch  3, Batch   1943, Loss  0.882985, Average Loss  0.869485, Time  0.359860
2021-09-09 01:59:28.763867 : Epoch  3, Batch   1944, Loss  0.836201, Average Loss  0.869307, Time  0.493877
2021-09-09 01:59:30.722789 : Epoch  3, Batch   1945, Loss  0.838305, Average Loss  0.869019, Time  0.498199
2021-09-09 01:59:32.594402 : Epoch  3, Batch   1946, Loss  0.828180, Average Loss  0.868806, Time  0.398823
2021-09-09 01:59:34.455779 : Epoch  3, Batch   1947, Loss  0.871766, Average Loss  0.868876, Time  0.399338
2021-09-09 01:59:36.315462 : Epoch  3, Batch   1948, Loss  0.850978, Average Loss  0.868724, Time  0.395668
2021-09-09 01:59:38.282843 : Epoch  3, Batch   1949, Loss  0.860336, Average Loss  0.868603, Time  0.490682
2021-09-09 01:59:40.229809 : Epoch  3, Batch   1950, Loss  0.863133, Average Loss  0.868470, Time  0.478836
2021-09-09 01:59:42.101780 : Epoch  3, Batch   1951, Loss  0.854682, Average Loss  0.868421, Time  0.397823
2021-09-09 01:59:43.964972 : Epoch  3, Batch   1952, Loss  0.883468, Average Loss  0.868555, Time  0.398992
2021-09-09 01:59:45.777138 : Epoch  3, Batch   1953, Loss  0.851856, Average Loss  0.868570, Time  0.363847
2021-09-09 01:59:47.661438 : Epoch  3, Batch   1954, Loss  0.848902, Average Loss  0.868523, Time  0.463516
2021-09-09 01:59:49.610784 : Epoch  3, Batch   1955, Loss  0.862706, Average Loss  0.868452, Time  0.480174
2021-09-09 01:59:51.469634 : Epoch  3, Batch   1956, Loss  0.851825, Average Loss  0.868304, Time  0.397789
2021-09-09 01:59:53.322345 : Epoch  3, Batch   1957, Loss  0.896286, Average Loss  0.868508, Time  0.372475
2021-09-09 01:59:55.185196 : Epoch  3, Batch   1958, Loss  0.889842, Average Loss  0.868508, Time  0.398573
2021-09-09 01:59:57.127777 : Epoch  3, Batch   1959, Loss  0.886160, Average Loss  0.868530, Time  0.485924
2021-09-09 01:59:59.077792 : Epoch  3, Batch   1960, Loss  0.899380, Average Loss  0.868720, Time  0.479264
2021-09-09 02:00:00.943838 : Epoch  3, Batch   1961, Loss  0.872134, Average Loss  0.868757, Time  0.396407
2021-09-09 02:00:02.801795 : Epoch  3, Batch   1962, Loss  0.857275, Average Loss  0.868711, Time  0.399019
2021-09-09 02:00:04.679483 : Epoch  3, Batch   1963, Loss  0.851873, Average Loss  0.868698, Time  0.397888
2021-09-09 02:00:06.637858 : Epoch  3, Batch   1964, Loss  0.882919, Average Loss  0.868821, Time  0.489624
2021-09-09 02:00:08.586831 : Epoch  3, Batch   1965, Loss  0.876174, Average Loss  0.868869, Time  0.482116
2021-09-09 02:00:10.450219 : Epoch  3, Batch   1966, Loss  0.866221, Average Loss  0.868766, Time  0.398254
2021-09-09 02:00:12.315899 : Epoch  3, Batch   1967, Loss  0.873849, Average Loss  0.868729, Time  0.399209
2021-09-09 02:00:14.174830 : Epoch  3, Batch   1968, Loss  0.859865, Average Loss  0.868643, Time  0.397233
2021-09-09 02:00:16.123781 : Epoch  3, Batch   1969, Loss  0.876144, Average Loss  0.868520, Time  0.486274
2021-09-09 02:00:18.010299 : Epoch  3, Batch   1970, Loss  0.833413, Average Loss  0.868345, Time  0.453944
2021-09-09 02:00:19.886780 : Epoch  3, Batch   1971, Loss  0.844789, Average Loss  0.868341, Time  0.407370
2021-09-09 02:00:21.755357 : Epoch  3, Batch   1972, Loss  0.896900, Average Loss  0.868409, Time  0.396575
2021-09-09 02:00:23.622170 : Epoch  3, Batch   1973, Loss  0.860236, Average Loss  0.868350, Time  0.394578
2021-09-09 02:00:25.582901 : Epoch  3, Batch   1974, Loss  0.872492, Average Loss  0.868453, Time  0.488348
2021-09-09 02:00:27.537827 : Epoch  3, Batch   1975, Loss  0.869887, Average Loss  0.868509, Time  0.480271
2021-09-09 02:00:29.371375 : Epoch  3, Batch   1976, Loss  0.861063, Average Loss  0.868459, Time  0.356154
2021-09-09 02:00:31.261793 : Epoch  3, Batch   1977, Loss  0.892287, Average Loss  0.868534, Time  0.400916
2021-09-09 02:00:33.134795 : Epoch  3, Batch   1978, Loss  0.855596, Average Loss  0.868544, Time  0.397479
2021-09-09 02:05:27.850046 : CheckPoint: Validation Loss  0.00061111, Best Loss  0.00058177
2021-09-09 02:05:29.638050 : Epoch  3, Batch   1979, Loss  0.876996, Average Loss  0.868558, Time  0.358397
2021-09-09 02:05:31.470051 : Epoch  3, Batch   1980, Loss  0.868334, Average Loss  0.868585, Time  0.393906
2021-09-09 02:05:33.332777 : Epoch  3, Batch   1981, Loss  0.890874, Average Loss  0.868681, Time  0.401386
2021-09-09 02:05:35.360163 : Epoch  3, Batch   1982, Loss  0.875709, Average Loss  0.868808, Time  0.493617
2021-09-09 02:05:37.301776 : Epoch  3, Batch   1983, Loss  0.867367, Average Loss  0.868849, Time  0.475696
2021-09-09 02:05:39.168958 : Epoch  3, Batch   1984, Loss  0.832373, Average Loss  0.868590, Time  0.398018
2021-09-09 02:05:41.121212 : Epoch  3, Batch   1985, Loss  0.864990, Average Loss  0.868481, Time  0.398299
2021-09-09 02:05:42.992403 : Epoch  3, Batch   1986, Loss  0.885115, Average Loss  0.868484, Time  0.395987
2021-09-09 02:05:44.956835 : Epoch  3, Batch   1987, Loss  0.867287, Average Loss  0.868472, Time  0.489202
2021-09-09 02:05:46.903790 : Epoch  3, Batch   1988, Loss  0.893208, Average Loss  0.868621, Time  0.476299
2021-09-09 02:05:48.764782 : Epoch  3, Batch   1989, Loss  0.864903, Average Loss  0.868729, Time  0.398946
2021-09-09 02:05:50.623141 : Epoch  3, Batch   1990, Loss  0.856089, Average Loss  0.868618, Time  0.399251
2021-09-09 02:05:52.506008 : Epoch  3, Batch   1991, Loss  0.848632, Average Loss  0.868605, Time  0.410881
2021-09-09 02:05:54.466838 : Epoch  3, Batch   1992, Loss  0.913274, Average Loss  0.868787, Time  0.486963
2021-09-09 02:05:56.404299 : Epoch  3, Batch   1993, Loss  0.884013, Average Loss  0.868935, Time  0.470979
2021-09-09 02:05:58.285780 : Epoch  3, Batch   1994, Loss  0.853415, Average Loss  0.868942, Time  0.399387
2021-09-09 02:06:00.146803 : Epoch  3, Batch   1995, Loss  0.861936, Average Loss  0.868839, Time  0.396308
2021-09-09 02:06:02.028137 : Epoch  3, Batch   1996, Loss  0.901930, Average Loss  0.868854, Time  0.417742
2021-09-09 02:06:03.990004 : Epoch  3, Batch   1997, Loss  0.842735, Average Loss  0.868707, Time  0.486972
2021-09-09 02:06:05.922145 : Epoch  3, Batch   1998, Loss  0.872060, Average Loss  0.868719, Time  0.463848
2021-09-09 02:06:07.809782 : Epoch  3, Batch   1999, Loss  0.864883, Average Loss  0.868653, Time  0.403021
2021-09-09 02:06:09.664196 : Epoch  3, Batch   2000, Loss  0.839721, Average Loss  0.868429, Time  0.363983
2021-09-09 02:06:11.493174 : Epoch  3, Batch   2001, Loss  0.846295, Average Loss  0.868416, Time  0.389329
2021-09-09 02:06:13.400144 : Epoch  3, Batch   2002, Loss  0.871811, Average Loss  0.868510, Time  0.455659
2021-09-09 02:06:15.192813 : Epoch  3, Batch   2003, Loss  0.858795, Average Loss  0.868568, Time  0.345264
2021-09-09 02:06:16.978850 : Epoch  3, Batch   2004, Loss  0.883878, Average Loss  0.868520, Time  0.362907
2021-09-09 02:06:18.775852 : Epoch  3, Batch   2005, Loss  0.853641, Average Loss  0.868465, Time  0.362298
2021-09-09 02:06:20.659793 : Epoch  3, Batch   2006, Loss  0.863242, Average Loss  0.868378, Time  0.451669
2021-09-09 02:06:22.539359 : Epoch  3, Batch   2007, Loss  0.886871, Average Loss  0.868486, Time  0.442470
2021-09-09 02:06:24.437715 : Epoch  3, Batch   2008, Loss  0.877943, Average Loss  0.868631, Time  0.403903
2021-09-09 02:06:26.308803 : Epoch  3, Batch   2009, Loss  0.869356, Average Loss  0.868682, Time  0.398399
2021-09-09 02:06:28.190844 : Epoch  3, Batch   2010, Loss  0.881576, Average Loss  0.868629, Time  0.410507
2021-09-09 02:06:30.146293 : Epoch  3, Batch   2011, Loss  0.873243, Average Loss  0.868700, Time  0.485864
2021-09-09 02:06:32.096228 : Epoch  3, Batch   2012, Loss  0.879936, Average Loss  0.868827, Time  0.481181
2021-09-09 02:06:33.963165 : Epoch  3, Batch   2013, Loss  0.895368, Average Loss  0.869078, Time  0.394578
2021-09-09 02:06:35.828778 : Epoch  3, Batch   2014, Loss  0.856172, Average Loss  0.868904, Time  0.397314
2021-09-09 02:06:37.662063 : Epoch  3, Batch   2015, Loss  0.857425, Average Loss  0.868900, Time  0.361619
2021-09-09 02:06:39.648795 : Epoch  3, Batch   2016, Loss  0.854106, Average Loss  0.868784, Time  0.506945
2021-09-09 02:06:41.704059 : Epoch  3, Batch   2017, Loss  0.850659, Average Loss  0.868596, Time  0.484756
2021-09-09 02:06:43.663246 : Epoch  3, Batch   2018, Loss  0.830881, Average Loss  0.868257, Time  0.481718
2021-09-09 02:06:45.526372 : Epoch  3, Batch   2019, Loss  0.874607, Average Loss  0.868251, Time  0.398409
2021-09-09 02:06:47.400969 : Epoch  3, Batch   2020, Loss  0.896372, Average Loss  0.868455, Time  0.399437
2021-09-09 02:06:49.276773 : Epoch  3, Batch   2021, Loss  0.883174, Average Loss  0.868467, Time  0.401374
2021-09-09 02:06:51.247830 : Epoch  3, Batch   2022, Loss  0.889328, Average Loss  0.868565, Time  0.486258
2021-09-09 02:06:53.185041 : Epoch  3, Batch   2023, Loss  0.864335, Average Loss  0.868458, Time  0.477109
2021-09-09 02:06:55.046006 : Epoch  3, Batch   2024, Loss  0.886499, Average Loss  0.868624, Time  0.400160
2021-09-09 02:06:56.931811 : Epoch  3, Batch   2025, Loss  0.880350, Average Loss  0.868643, Time  0.400354
2021-09-09 02:06:58.788944 : Epoch  3, Batch   2026, Loss  0.857953, Average Loss  0.868557, Time  0.397244
2021-09-09 02:07:00.750369 : Epoch  3, Batch   2027, Loss  0.855677, Average Loss  0.868525, Time  0.483491
2021-09-09 02:07:02.668138 : Epoch  3, Batch   2028, Loss  0.875998, Average Loss  0.868549, Time  0.455364
2021-09-09 02:07:04.535555 : Epoch  3, Batch   2029, Loss  0.903068, Average Loss  0.868749, Time  0.406217
2021-09-09 02:07:06.412951 : Epoch  3, Batch   2030, Loss  0.879184, Average Loss  0.868989, Time  0.397793
2021-09-09 02:07:08.350798 : Epoch  3, Batch   2031, Loss  0.878306, Average Loss  0.869089, Time  0.451769
2021-09-09 02:07:10.314312 : Epoch  3, Batch   2032, Loss  0.858224, Average Loss  0.868942, Time  0.481726
2021-09-09 02:07:12.267779 : Epoch  3, Batch   2033, Loss  0.881244, Average Loss  0.868993, Time  0.474132
2021-09-09 02:07:14.145782 : Epoch  3, Batch   2034, Loss  0.844571, Average Loss  0.868857, Time  0.401716
2021-09-09 02:07:16.013736 : Epoch  3, Batch   2035, Loss  0.879184, Average Loss  0.868880, Time  0.397982
2021-09-09 02:07:17.908926 : Epoch  3, Batch   2036, Loss  0.855148, Average Loss  0.868877, Time  0.437892
2021-09-09 02:07:19.867307 : Epoch  3, Batch   2037, Loss  0.867955, Average Loss  0.868721, Time  0.483548
2021-09-09 02:07:21.703177 : Epoch  3, Batch   2038, Loss  0.840414, Average Loss  0.868413, Time  0.376448
2021-09-09 02:07:23.569884 : Epoch  3, Batch   2039, Loss  0.883806, Average Loss  0.868565, Time  0.402786
2021-09-09 02:07:25.428314 : Epoch  3, Batch   2040, Loss  0.874298, Average Loss  0.868631, Time  0.401235
2021-09-09 02:07:27.388805 : Epoch  3, Batch   2041, Loss  0.867401, Average Loss  0.868491, Time  0.485992
2021-09-09 02:07:29.348140 : Epoch  3, Batch   2042, Loss  0.879070, Average Loss  0.868419, Time  0.485245
2021-09-09 02:07:31.308835 : Epoch  3, Batch   2043, Loss  0.895844, Average Loss  0.868554, Time  0.477216
2021-09-09 02:07:33.186061 : Epoch  3, Batch   2044, Loss  0.882968, Average Loss  0.868752, Time  0.399296
2021-09-09 02:07:35.052974 : Epoch  3, Batch   2045, Loss  0.878537, Average Loss  0.868892, Time  0.397640
2021-09-09 02:07:36.939324 : Epoch  3, Batch   2046, Loss  0.848505, Average Loss  0.868795, Time  0.395082
2021-09-09 02:07:38.899774 : Epoch  3, Batch   2047, Loss  0.875438, Average Loss  0.868797, Time  0.488045
2021-09-09 02:07:40.899319 : Epoch  3, Batch   2048, Loss  0.874146, Average Loss  0.868716, Time  0.483539
2021-09-09 02:07:42.766379 : Epoch  3, Batch   2049, Loss  0.870342, Average Loss  0.868697, Time  0.396887
2021-09-09 02:07:44.634380 : Epoch  3, Batch   2050, Loss  0.854133, Average Loss  0.868521, Time  0.397822
2021-09-09 02:07:46.491779 : Epoch  3, Batch   2051, Loss  0.869386, Average Loss  0.868556, Time  0.398945
2021-09-09 02:07:48.473735 : Epoch  3, Batch   2052, Loss  0.884123, Average Loss  0.868682, Time  0.485401
2021-09-09 02:07:50.428005 : Epoch  3, Batch   2053, Loss  0.826254, Average Loss  0.868337, Time  0.486918
2021-09-09 02:07:52.372787 : Epoch  3, Batch   2054, Loss  0.901066, Average Loss  0.868517, Time  0.476990
2021-09-09 02:07:54.235779 : Epoch  3, Batch   2055, Loss  0.873411, Average Loss  0.868593, Time  0.398859
2021-09-09 02:07:56.095778 : Epoch  3, Batch   2056, Loss  0.862473, Average Loss  0.868609, Time  0.397305
2021-09-09 02:07:57.981126 : Epoch  3, Batch   2057, Loss  0.882470, Average Loss  0.868698, Time  0.405730
2021-09-09 02:07:59.939825 : Epoch  3, Batch   2058, Loss  0.873440, Average Loss  0.868721, Time  0.485980
2021-09-09 02:08:01.868783 : Epoch  3, Batch   2059, Loss  0.877051, Average Loss  0.868774, Time  0.451311
2021-09-09 02:08:03.734208 : Epoch  3, Batch   2060, Loss  0.870952, Average Loss  0.868896, Time  0.399471
2021-09-09 02:08:05.593781 : Epoch  3, Batch   2061, Loss  0.898194, Average Loss  0.868967, Time  0.397308
2021-09-09 02:08:07.556802 : Epoch  3, Batch   2062, Loss  0.851465, Average Loss  0.868856, Time  0.479054
2021-09-09 02:08:09.508795 : Epoch  3, Batch   2063, Loss  0.885220, Average Loss  0.868909, Time  0.488170
2021-09-09 02:08:11.469672 : Epoch  3, Batch   2064, Loss  0.848267, Average Loss  0.868754, Time  0.476364
2021-09-09 02:08:13.341779 : Epoch  3, Batch   2065, Loss  0.873837, Average Loss  0.868796, Time  0.403891
2021-09-09 02:08:15.158229 : Epoch  3, Batch   2066, Loss  0.876172, Average Loss  0.868919, Time  0.359605
2021-09-09 02:08:16.976414 : Epoch  3, Batch   2067, Loss  0.832415, Average Loss  0.868583, Time  0.388266
2021-09-09 02:08:18.843792 : Epoch  3, Batch   2068, Loss  0.878214, Average Loss  0.868729, Time  0.454057
2021-09-09 02:08:20.621122 : Epoch  3, Batch   2069, Loss  0.879678, Average Loss  0.868990, Time  0.358146
2021-09-09 02:08:22.400771 : Epoch  3, Batch   2070, Loss  0.875988, Average Loss  0.869106, Time  0.357130
2021-09-09 02:08:24.230833 : Epoch  3, Batch   2071, Loss  0.875587, Average Loss  0.869206, Time  0.376046
2021-09-09 02:08:26.191995 : Epoch  3, Batch   2072, Loss  0.866446, Average Loss  0.869212, Time  0.486255
2021-09-09 02:08:28.092778 : Epoch  3, Batch   2073, Loss  0.882411, Average Loss  0.869121, Time  0.448283
2021-09-09 02:08:29.962374 : Epoch  3, Batch   2074, Loss  0.881597, Average Loss  0.869232, Time  0.398424
2021-09-09 02:08:31.833824 : Epoch  3, Batch   2075, Loss  0.864270, Average Loss  0.869204, Time  0.403636
2021-09-09 02:08:33.641231 : Epoch  3, Batch   2076, Loss  0.860655, Average Loss  0.869212, Time  0.376681
2021-09-09 02:08:35.519775 : Epoch  3, Batch   2077, Loss  0.878598, Average Loss  0.869115, Time  0.454048
2021-09-09 02:08:37.297109 : Epoch  3, Batch   2078, Loss  0.871629, Average Loss  0.869137, Time  0.355311
2021-09-09 02:13:30.359713 : CheckPoint: Validation Loss  0.00062887, Best Loss  0.00058177
2021-09-09 02:13:32.192352 : Epoch  3, Batch   2079, Loss  0.854030, Average Loss  0.869069, Time  0.413729
2021-09-09 02:13:34.122784 : Epoch  3, Batch   2080, Loss  0.856303, Average Loss  0.868986, Time  0.473185
2021-09-09 02:13:36.094134 : Epoch  3, Batch   2081, Loss  0.881268, Average Loss  0.868883, Time  0.482179
2021-09-09 02:13:37.885955 : Epoch  3, Batch   2082, Loss  0.832555, Average Loss  0.868623, Time  0.361233
2021-09-09 02:13:39.703783 : Epoch  3, Batch   2083, Loss  0.861269, Average Loss  0.868543, Time  0.358628
2021-09-09 02:13:41.548747 : Epoch  3, Batch   2084, Loss  0.900076, Average Loss  0.868774, Time  0.407389
2021-09-09 02:13:43.427817 : Epoch  3, Batch   2085, Loss  0.883674, Average Loss  0.868803, Time  0.451839
2021-09-09 02:13:45.217011 : Epoch  3, Batch   2086, Loss  0.873649, Average Loss  0.868870, Time  0.357150
2021-09-09 02:13:47.089202 : Epoch  3, Batch   2087, Loss  0.913694, Average Loss  0.869065, Time  0.379991
2021-09-09 02:13:48.885938 : Epoch  3, Batch   2088, Loss  0.887526, Average Loss  0.869197, Time  0.363423
2021-09-09 02:13:50.808252 : Epoch  3, Batch   2089, Loss  0.872669, Average Loss  0.869280, Time  0.454998
2021-09-09 02:13:52.671801 : Epoch  3, Batch   2090, Loss  0.859559, Average Loss  0.869375, Time  0.430504
2021-09-09 02:13:54.563262 : Epoch  3, Batch   2091, Loss  0.873106, Average Loss  0.869223, Time  0.403237
2021-09-09 02:13:56.388796 : Epoch  3, Batch   2092, Loss  0.914819, Average Loss  0.869609, Time  0.360225
2021-09-09 02:13:58.217859 : Epoch  3, Batch   2093, Loss  0.871328, Average Loss  0.869695, Time  0.400416
2021-09-09 02:14:00.161784 : Epoch  3, Batch   2094, Loss  0.850618, Average Loss  0.869630, Time  0.457935
2021-09-09 02:14:01.940555 : Epoch  3, Batch   2095, Loss  0.885585, Average Loss  0.869645, Time  0.352650
2021-09-09 02:14:03.732025 : Epoch  3, Batch   2096, Loss  0.885811, Average Loss  0.869920, Time  0.363550
2021-09-09 02:14:05.532151 : Epoch  3, Batch   2097, Loss  0.876307, Average Loss  0.870144, Time  0.359210
2021-09-09 02:14:07.406774 : Epoch  3, Batch   2098, Loss  0.865833, Average Loss  0.870037, Time  0.453475
2021-09-09 02:14:09.191453 : Epoch  3, Batch   2099, Loss  0.856829, Average Loss  0.869853, Time  0.357235
2021-09-09 02:14:11.015935 : Epoch  3, Batch   2100, Loss  0.842391, Average Loss  0.869702, Time  0.358277
2021-09-09 02:14:12.812825 : Epoch  3, Batch   2101, Loss  0.853916, Average Loss  0.869671, Time  0.369363
2021-09-09 02:14:14.687771 : Epoch  3, Batch   2102, Loss  0.862668, Average Loss  0.869592, Time  0.451978
2021-09-09 02:14:16.475983 : Epoch  3, Batch   2103, Loss  0.873512, Average Loss  0.869656, Time  0.356415
2021-09-09 02:14:18.274774 : Epoch  3, Batch   2104, Loss  0.855851, Average Loss  0.869702, Time  0.358644
2021-09-09 02:14:20.103109 : Epoch  3, Batch   2105, Loss  0.889359, Average Loss  0.869837, Time  0.369148
2021-09-09 02:14:21.971969 : Epoch  3, Batch   2106, Loss  0.880126, Average Loss  0.869937, Time  0.454219
2021-09-09 02:14:23.767776 : Epoch  3, Batch   2107, Loss  0.876536, Average Loss  0.869938, Time  0.356176
2021-09-09 02:14:25.550799 : Epoch  3, Batch   2108, Loss  0.872480, Average Loss  0.869941, Time  0.358219
2021-09-09 02:14:27.351771 : Epoch  3, Batch   2109, Loss  0.872429, Average Loss  0.869882, Time  0.378097
2021-09-09 02:14:29.237171 : Epoch  3, Batch   2110, Loss  0.879991, Average Loss  0.869990, Time  0.454485
2021-09-09 02:14:31.023027 : Epoch  3, Batch   2111, Loss  0.869084, Average Loss  0.870134, Time  0.356622
2021-09-09 02:14:32.847247 : Epoch  3, Batch   2112, Loss  0.876784, Average Loss  0.870084, Time  0.358108
2021-09-09 02:14:34.639095 : Epoch  3, Batch   2113, Loss  0.875866, Average Loss  0.870007, Time  0.363600
2021-09-09 02:14:36.524779 : Epoch  3, Batch   2114, Loss  0.886513, Average Loss  0.870185, Time  0.455029
2021-09-09 02:14:38.397000 : Epoch  3, Batch   2115, Loss  0.894553, Average Loss  0.870397, Time  0.415234
2021-09-09 02:14:40.184843 : Epoch  3, Batch   2116, Loss  0.871565, Average Loss  0.870332, Time  0.358168
2021-09-09 02:14:41.967812 : Epoch  3, Batch   2117, Loss  0.852515, Average Loss  0.870052, Time  0.358633
2021-09-09 02:14:43.816780 : Epoch  3, Batch   2118, Loss  0.856960, Average Loss  0.870099, Time  0.429759
2021-09-09 02:14:45.683794 : Epoch  3, Batch   2119, Loss  0.893556, Average Loss  0.870225, Time  0.449246
2021-09-09 02:14:47.463774 : Epoch  3, Batch   2120, Loss  0.854829, Average Loss  0.870160, Time  0.358513
2021-09-09 02:14:49.247786 : Epoch  3, Batch   2121, Loss  0.871374, Average Loss  0.870188, Time  0.355981
2021-09-09 02:14:51.062095 : Epoch  3, Batch   2122, Loss  0.836033, Average Loss  0.870116, Time  0.402506
2021-09-09 02:14:52.928255 : Epoch  3, Batch   2123, Loss  0.852713, Average Loss  0.870050, Time  0.452106
2021-09-09 02:14:54.707774 : Epoch  3, Batch   2124, Loss  0.858498, Average Loss  0.870082, Time  0.357140
2021-09-09 02:14:56.502776 : Epoch  3, Batch   2125, Loss  0.874487, Average Loss  0.870120, Time  0.356485
2021-09-09 02:14:58.308798 : Epoch  3, Batch   2126, Loss  0.856273, Average Loss  0.870186, Time  0.380147
2021-09-09 02:15:00.195949 : Epoch  3, Batch   2127, Loss  0.859072, Average Loss  0.870149, Time  0.455909
2021-09-09 02:15:01.975178 : Epoch  3, Batch   2128, Loss  0.867948, Average Loss  0.870079, Time  0.357781
2021-09-09 02:15:03.920915 : Epoch  3, Batch   2129, Loss  0.878374, Average Loss  0.870120, Time  0.398854
2021-09-09 02:15:05.724815 : Epoch  3, Batch   2130, Loss  0.879586, Average Loss  0.870017, Time  0.371342
2021-09-09 02:15:07.610815 : Epoch  3, Batch   2131, Loss  0.847108, Average Loss  0.869911, Time  0.453573
2021-09-09 02:15:09.376119 : Epoch  3, Batch   2132, Loss  0.870810, Average Loss  0.869881, Time  0.335341
2021-09-09 02:15:11.252887 : Epoch  3, Batch   2133, Loss  0.883653, Average Loss  0.869907, Time  0.400425
2021-09-09 02:15:13.147828 : Epoch  3, Batch   2134, Loss  0.851200, Average Loss  0.869848, Time  0.400856
2021-09-09 02:15:15.076160 : Epoch  3, Batch   2135, Loss  0.884576, Average Loss  0.869853, Time  0.456108
2021-09-09 02:15:17.044232 : Epoch  3, Batch   2136, Loss  0.877027, Average Loss  0.869874, Time  0.459336
2021-09-09 02:15:18.921895 : Epoch  3, Batch   2137, Loss  0.875017, Average Loss  0.869814, Time  0.400671
2021-09-09 02:15:20.776335 : Epoch  3, Batch   2138, Loss  0.872015, Average Loss  0.869858, Time  0.390460
2021-09-09 02:15:22.669268 : Epoch  3, Batch   2139, Loss  0.871339, Average Loss  0.869872, Time  0.435174
2021-09-09 02:15:24.633856 : Epoch  3, Batch   2140, Loss  0.861065, Average Loss  0.869660, Time  0.483765
2021-09-09 02:15:26.580178 : Epoch  3, Batch   2141, Loss  0.884431, Average Loss  0.869750, Time  0.471754
2021-09-09 02:15:28.456347 : Epoch  3, Batch   2142, Loss  0.869199, Average Loss  0.869721, Time  0.401317
2021-09-09 02:15:30.312346 : Epoch  3, Batch   2143, Loss  0.860908, Average Loss  0.869611, Time  0.396554
2021-09-09 02:15:32.202011 : Epoch  3, Batch   2144, Loss  0.849631, Average Loss  0.869678, Time  0.408329
2021-09-09 02:15:34.156155 : Epoch  3, Batch   2145, Loss  0.891709, Average Loss  0.869945, Time  0.484915
2021-09-09 02:15:36.111932 : Epoch  3, Batch   2146, Loss  0.894878, Average Loss  0.870279, Time  0.480521
2021-09-09 02:15:37.982973 : Epoch  3, Batch   2147, Loss  0.840510, Average Loss  0.870122, Time  0.399062
2021-09-09 02:15:39.848846 : Epoch  3, Batch   2148, Loss  0.885474, Average Loss  0.870295, Time  0.399126
2021-09-09 02:15:41.713658 : Epoch  3, Batch   2149, Loss  0.879758, Average Loss  0.870392, Time  0.399375
2021-09-09 02:15:43.664889 : Epoch  3, Batch   2150, Loss  0.877150, Average Loss  0.870462, Time  0.485626
2021-09-09 02:15:45.689929 : Epoch  3, Batch   2151, Loss  0.873238, Average Loss  0.870555, Time  0.479277
2021-09-09 02:15:47.565305 : Epoch  3, Batch   2152, Loss  0.847102, Average Loss  0.870373, Time  0.397598
2021-09-09 02:15:49.442816 : Epoch  3, Batch   2153, Loss  0.848764, Average Loss  0.870358, Time  0.398379
2021-09-09 02:15:51.311997 : Epoch  3, Batch   2154, Loss  0.873053, Average Loss  0.870478, Time  0.397749
2021-09-09 02:15:53.298168 : Epoch  3, Batch   2155, Loss  0.893274, Average Loss  0.870631, Time  0.484771
2021-09-09 02:15:55.247161 : Epoch  3, Batch   2156, Loss  0.869670, Average Loss  0.870720, Time  0.482108
2021-09-09 02:15:57.103626 : Epoch  3, Batch   2157, Loss  0.851926, Average Loss  0.870499, Time  0.400006
2021-09-09 02:15:58.965869 : Epoch  3, Batch   2158, Loss  0.862487, Average Loss  0.870362, Time  0.398545
2021-09-09 02:16:00.825785 : Epoch  3, Batch   2159, Loss  0.882541, Average Loss  0.870344, Time  0.396352
2021-09-09 02:16:02.775999 : Epoch  3, Batch   2160, Loss  0.908368, Average Loss  0.870389, Time  0.486823
2021-09-09 02:16:04.722895 : Epoch  3, Batch   2161, Loss  0.879815, Average Loss  0.870427, Time  0.480046
2021-09-09 02:16:06.601209 : Epoch  3, Batch   2162, Loss  0.868647, Average Loss  0.870484, Time  0.397525
2021-09-09 02:16:08.471696 : Epoch  3, Batch   2163, Loss  0.859470, Average Loss  0.870522, Time  0.399411
2021-09-09 02:16:10.322778 : Epoch  3, Batch   2164, Loss  0.868688, Average Loss  0.870451, Time  0.394987
2021-09-09 02:16:12.277674 : Epoch  3, Batch   2165, Loss  0.855075, Average Loss  0.870345, Time  0.486457
2021-09-09 02:16:14.231255 : Epoch  3, Batch   2166, Loss  0.889483, Average Loss  0.870462, Time  0.480788
2021-09-09 02:16:16.096784 : Epoch  3, Batch   2167, Loss  0.870492, Average Loss  0.870445, Time  0.403819
2021-09-09 02:16:17.893194 : Epoch  3, Batch   2168, Loss  0.885595, Average Loss  0.870573, Time  0.366275
2021-09-09 02:16:19.714769 : Epoch  3, Batch   2169, Loss  0.865467, Average Loss  0.870520, Time  0.397642
2021-09-09 02:16:21.670928 : Epoch  3, Batch   2170, Loss  0.861243, Average Loss  0.870659, Time  0.484221
2021-09-09 02:16:23.620765 : Epoch  3, Batch   2171, Loss  0.859972, Average Loss  0.870735, Time  0.479773
2021-09-09 02:16:25.473816 : Epoch  3, Batch   2172, Loss  0.871887, Average Loss  0.870610, Time  0.399225
2021-09-09 02:16:27.327893 : Epoch  3, Batch   2173, Loss  0.864696, Average Loss  0.870632, Time  0.398486
2021-09-09 02:16:29.187140 : Epoch  3, Batch   2174, Loss  0.854273, Average Loss  0.870541, Time  0.400163
2021-09-09 02:16:31.127002 : Epoch  3, Batch   2175, Loss  0.836415, Average Loss  0.870374, Time  0.483456
2021-09-09 02:16:32.983182 : Epoch  3, Batch   2176, Loss  0.852813, Average Loss  0.870333, Time  0.430073
2021-09-09 02:16:34.785534 : Epoch  3, Batch   2177, Loss  0.863716, Average Loss  0.870190, Time  0.366457
2021-09-09 02:16:36.654210 : Epoch  3, Batch   2178, Loss  0.884741, Average Loss  0.870336, Time  0.397385
2021-09-09 02:21:32.460713 : CheckPoint: Validation Loss  0.00060502, Best Loss  0.00058177
2021-09-09 02:21:34.329786 : Epoch  3, Batch   2179, Loss  0.866518, Average Loss  0.870283, Time  0.406767
2021-09-09 02:21:36.166774 : Epoch  3, Batch   2180, Loss  0.862662, Average Loss  0.870255, Time  0.417733
2021-09-09 02:21:38.067871 : Epoch  3, Batch   2181, Loss  0.877875, Average Loss  0.870190, Time  0.453740
2021-09-09 02:21:39.852919 : Epoch  3, Batch   2182, Loss  0.871329, Average Loss  0.870168, Time  0.356879
2021-09-09 02:21:41.620966 : Epoch  3, Batch   2183, Loss  0.890260, Average Loss  0.870282, Time  0.356498
2021-09-09 02:21:43.428119 : Epoch  3, Batch   2184, Loss  0.875231, Average Loss  0.870497, Time  0.376367
2021-09-09 02:21:45.321682 : Epoch  3, Batch   2185, Loss  0.871284, Average Loss  0.870528, Time  0.451949
2021-09-09 02:21:47.101819 : Epoch  3, Batch   2186, Loss  0.877274, Average Loss  0.870489, Time  0.344028
2021-09-09 02:21:48.880471 : Epoch  3, Batch   2187, Loss  0.865844, Average Loss  0.870482, Time  0.358013
2021-09-09 02:21:50.740790 : Epoch  3, Batch   2188, Loss  0.866443, Average Loss  0.870348, Time  0.398104
2021-09-09 02:21:52.701966 : Epoch  3, Batch   2189, Loss  0.834690, Average Loss  0.870197, Time  0.494765
2021-09-09 02:21:54.648866 : Epoch  3, Batch   2190, Loss  0.864712, Average Loss  0.870240, Time  0.481823
2021-09-09 02:21:56.513179 : Epoch  3, Batch   2191, Loss  0.860869, Average Loss  0.870301, Time  0.397938
2021-09-09 02:21:58.364756 : Epoch  3, Batch   2192, Loss  0.874362, Average Loss  0.870107, Time  0.395988
2021-09-09 02:22:00.288864 : Epoch  3, Batch   2193, Loss  0.866901, Average Loss  0.870021, Time  0.405684
2021-09-09 02:22:02.242791 : Epoch  3, Batch   2194, Loss  0.872555, Average Loss  0.870117, Time  0.490142
2021-09-09 02:22:04.177924 : Epoch  3, Batch   2195, Loss  0.845435, Average Loss  0.870034, Time  0.481187
2021-09-09 02:22:06.040827 : Epoch  3, Batch   2196, Loss  0.884402, Average Loss  0.869947, Time  0.398788
2021-09-09 02:22:07.913004 : Epoch  3, Batch   2197, Loss  0.869368, Average Loss  0.870080, Time  0.400632
2021-09-09 02:22:09.769821 : Epoch  3, Batch   2198, Loss  0.857004, Average Loss  0.870004, Time  0.397829
2021-09-09 02:22:11.720883 : Epoch  3, Batch   2199, Loss  0.884014, Average Loss  0.870100, Time  0.488919
2021-09-09 02:22:13.652783 : Epoch  3, Batch   2200, Loss  0.861152, Average Loss  0.870207, Time  0.481186
2021-09-09 02:22:15.515276 : Epoch  3, Batch   2201, Loss  0.875234, Average Loss  0.870352, Time  0.396702
2021-09-09 02:22:17.374825 : Epoch  3, Batch   2202, Loss  0.888482, Average Loss  0.870435, Time  0.398769
2021-09-09 02:22:19.241106 : Epoch  3, Batch   2203, Loss  0.883924, Average Loss  0.870561, Time  0.402012
2021-09-09 02:22:21.220772 : Epoch  3, Batch   2204, Loss  0.857367, Average Loss  0.870428, Time  0.455461
2021-09-09 02:22:23.073693 : Epoch  3, Batch   2205, Loss  0.867430, Average Loss  0.870497, Time  0.434060
2021-09-09 02:22:24.851777 : Epoch  3, Batch   2206, Loss  0.859474, Average Loss  0.870478, Time  0.359831
2021-09-09 02:22:26.624201 : Epoch  3, Batch   2207, Loss  0.879066, Average Loss  0.870439, Time  0.358563
2021-09-09 02:22:28.482775 : Epoch  3, Batch   2208, Loss  0.872241, Average Loss  0.870411, Time  0.432998
2021-09-09 02:22:30.367122 : Epoch  3, Batch   2209, Loss  0.836765, Average Loss  0.870248, Time  0.455729
2021-09-09 02:22:32.147365 : Epoch  3, Batch   2210, Loss  0.864898, Average Loss  0.870165, Time  0.357843
2021-09-09 02:22:33.932771 : Epoch  3, Batch   2211, Loss  0.855349, Average Loss  0.870075, Time  0.358863
2021-09-09 02:22:35.726772 : Epoch  3, Batch   2212, Loss  0.867868, Average Loss  0.870015, Time  0.369774
2021-09-09 02:22:37.602780 : Epoch  3, Batch   2213, Loss  0.873712, Average Loss  0.869907, Time  0.455889
2021-09-09 02:22:39.373048 : Epoch  3, Batch   2214, Loss  0.860922, Average Loss  0.869930, Time  0.343267
2021-09-09 02:22:41.321006 : Epoch  3, Batch   2215, Loss  0.878910, Average Loss  0.870038, Time  0.394526
2021-09-09 02:22:43.117819 : Epoch  3, Batch   2216, Loss  0.866762, Average Loss  0.870101, Time  0.357195
2021-09-09 02:22:45.008770 : Epoch  3, Batch   2217, Loss  0.833899, Average Loss  0.870017, Time  0.451527
2021-09-09 02:22:46.866188 : Epoch  3, Batch   2218, Loss  0.856786, Average Loss  0.870147, Time  0.441998
2021-09-09 02:22:48.653791 : Epoch  3, Batch   2219, Loss  0.877848, Average Loss  0.870163, Time  0.357646
2021-09-09 02:22:50.436361 : Epoch  3, Batch   2220, Loss  0.858848, Average Loss  0.869975, Time  0.357742
2021-09-09 02:22:52.255782 : Epoch  3, Batch   2221, Loss  0.883430, Average Loss  0.869977, Time  0.400824
2021-09-09 02:22:54.140194 : Epoch  3, Batch   2222, Loss  0.867824, Average Loss  0.869869, Time  0.459052
2021-09-09 02:22:55.927796 : Epoch  3, Batch   2223, Loss  0.887593, Average Loss  0.869985, Time  0.357437
2021-09-09 02:22:57.695851 : Epoch  3, Batch   2224, Loss  0.828410, Average Loss  0.869695, Time  0.356744
2021-09-09 02:22:59.490000 : Epoch  3, Batch   2225, Loss  0.882043, Average Loss  0.869703, Time  0.385148
2021-09-09 02:23:01.451286 : Epoch  3, Batch   2226, Loss  0.848438, Average Loss  0.869656, Time  0.485524
2021-09-09 02:23:03.413826 : Epoch  3, Batch   2227, Loss  0.873656, Average Loss  0.869746, Time  0.489327
2021-09-09 02:23:05.271151 : Epoch  3, Batch   2228, Loss  0.901095, Average Loss  0.869871, Time  0.398776
2021-09-09 02:23:07.151200 : Epoch  3, Batch   2229, Loss  0.864657, Average Loss  0.869679, Time  0.404822
2021-09-09 02:23:09.033023 : Epoch  3, Batch   2230, Loss  0.866944, Average Loss  0.869618, Time  0.400882
2021-09-09 02:23:10.998825 : Epoch  3, Batch   2231, Loss  0.892095, Average Loss  0.869687, Time  0.496613
2021-09-09 02:23:12.885142 : Epoch  3, Batch   2232, Loss  0.867105, Average Loss  0.869731, Time  0.459965
2021-09-09 02:23:14.748772 : Epoch  3, Batch   2233, Loss  0.898908, Average Loss  0.869820, Time  0.396798
2021-09-09 02:23:16.667822 : Epoch  3, Batch   2234, Loss  0.887929, Average Loss  0.870036, Time  0.399350
2021-09-09 02:23:18.532802 : Epoch  3, Batch   2235, Loss  0.874013, Average Loss  0.870011, Time  0.397298
2021-09-09 02:23:20.491129 : Epoch  3, Batch   2236, Loss  0.872882, Average Loss  0.870099, Time  0.485538
2021-09-09 02:23:22.442511 : Epoch  3, Batch   2237, Loss  0.915098, Average Loss  0.870335, Time  0.479973
2021-09-09 02:23:24.300779 : Epoch  3, Batch   2238, Loss  0.885997, Average Loss  0.870563, Time  0.396892
2021-09-09 02:23:26.167835 : Epoch  3, Batch   2239, Loss  0.885755, Average Loss  0.870573, Time  0.399525
2021-09-09 02:23:28.053861 : Epoch  3, Batch   2240, Loss  0.876520, Average Loss  0.870584, Time  0.397711
2021-09-09 02:23:30.012779 : Epoch  3, Batch   2241, Loss  0.874116, Average Loss  0.870617, Time  0.488408
2021-09-09 02:23:31.966813 : Epoch  3, Batch   2242, Loss  0.831071, Average Loss  0.870377, Time  0.483346
2021-09-09 02:23:33.831835 : Epoch  3, Batch   2243, Loss  0.894945, Average Loss  0.870373, Time  0.397964
2021-09-09 02:23:35.707823 : Epoch  3, Batch   2244, Loss  0.874644, Average Loss  0.870331, Time  0.400107
2021-09-09 02:23:37.588998 : Epoch  3, Batch   2245, Loss  0.896536, Average Loss  0.870421, Time  0.396642
2021-09-09 02:23:39.550163 : Epoch  3, Batch   2246, Loss  0.885622, Average Loss  0.870607, Time  0.486827
2021-09-09 02:23:41.505781 : Epoch  3, Batch   2247, Loss  0.892631, Average Loss  0.870693, Time  0.481182
2021-09-09 02:23:43.369063 : Epoch  3, Batch   2248, Loss  0.863549, Average Loss  0.870640, Time  0.398658
2021-09-09 02:23:45.238231 : Epoch  3, Batch   2249, Loss  0.859061, Average Loss  0.870583, Time  0.401157
2021-09-09 02:23:47.099780 : Epoch  3, Batch   2250, Loss  0.843307, Average Loss  0.870529, Time  0.397300
2021-09-09 02:23:49.055826 : Epoch  3, Batch   2251, Loss  0.889212, Average Loss  0.870628, Time  0.484920
2021-09-09 02:23:50.958794 : Epoch  3, Batch   2252, Loss  0.879926, Average Loss  0.870607, Time  0.460408
2021-09-09 02:23:52.752466 : Epoch  3, Batch   2253, Loss  0.882279, Average Loss  0.870887, Time  0.361637
2021-09-09 02:23:54.532157 : Epoch  3, Batch   2254, Loss  0.856670, Average Loss  0.870665, Time  0.358058
2021-09-09 02:23:56.371140 : Epoch  3, Batch   2255, Loss  0.893588, Average Loss  0.870766, Time  0.417704
2021-09-09 02:23:58.247111 : Epoch  3, Batch   2256, Loss  0.843920, Average Loss  0.870674, Time  0.454367
2021-09-09 02:24:00.030850 : Epoch  3, Batch   2257, Loss  0.882992, Average Loss  0.870676, Time  0.349887
2021-09-09 02:24:01.827338 : Epoch  3, Batch   2258, Loss  0.876592, Average Loss  0.870692, Time  0.363724
2021-09-09 02:24:03.633773 : Epoch  3, Batch   2259, Loss  0.856505, Average Loss  0.870589, Time  0.363277
2021-09-09 02:24:05.516964 : Epoch  3, Batch   2260, Loss  0.865897, Average Loss  0.870564, Time  0.460867
2021-09-09 02:24:07.365771 : Epoch  3, Batch   2261, Loss  0.875214, Average Loss  0.870449, Time  0.421215
2021-09-09 02:24:09.256920 : Epoch  3, Batch   2262, Loss  0.885151, Average Loss  0.870617, Time  0.405667
2021-09-09 02:24:11.124823 : Epoch  3, Batch   2263, Loss  0.867954, Average Loss  0.870531, Time  0.401995
2021-09-09 02:24:13.011005 : Epoch  3, Batch   2264, Loss  0.861865, Average Loss  0.870599, Time  0.413316
2021-09-09 02:24:14.904856 : Epoch  3, Batch   2265, Loss  0.898894, Average Loss  0.870724, Time  0.454682
2021-09-09 02:24:16.747103 : Epoch  3, Batch   2266, Loss  0.892164, Average Loss  0.870804, Time  0.411563
2021-09-09 02:24:18.539820 : Epoch  3, Batch   2267, Loss  0.868832, Average Loss  0.870986, Time  0.361025
2021-09-09 02:24:20.319223 : Epoch  3, Batch   2268, Loss  0.868513, Average Loss  0.870938, Time  0.358074
2021-09-09 02:24:22.187235 : Epoch  3, Batch   2269, Loss  0.856644, Average Loss  0.870823, Time  0.448329
2021-09-09 02:24:24.149787 : Epoch  3, Batch   2270, Loss  0.892557, Average Loss  0.870906, Time  0.491492
2021-09-09 02:24:25.984821 : Epoch  3, Batch   2271, Loss  0.911196, Average Loss  0.871084, Time  0.377117
2021-09-09 02:24:27.856776 : Epoch  3, Batch   2272, Loss  0.885345, Average Loss  0.871178, Time  0.408814
2021-09-09 02:24:29.743778 : Epoch  3, Batch   2273, Loss  0.855829, Average Loss  0.871045, Time  0.415168
2021-09-09 02:24:31.664042 : Epoch  3, Batch   2274, Loss  0.883477, Average Loss  0.871055, Time  0.445681
2021-09-09 02:24:33.620997 : Epoch  3, Batch   2275, Loss  0.855387, Average Loss  0.871010, Time  0.487273
2021-09-09 02:24:35.569688 : Epoch  3, Batch   2276, Loss  0.906205, Average Loss  0.871238, Time  0.481661
2021-09-09 02:24:37.444837 : Epoch  3, Batch   2277, Loss  0.865661, Average Loss  0.871173, Time  0.397740
2021-09-09 02:24:39.325234 : Epoch  3, Batch   2278, Loss  0.869360, Average Loss  0.871162, Time  0.398467
2021-09-09 02:29:33.031773 : CheckPoint: Validation Loss  0.00058310, Best Loss  0.00058177
2021-09-09 02:29:34.816799 : Epoch  3, Batch   2279, Loss  0.845394, Average Loss  0.871119, Time  0.357528
2021-09-09 02:29:36.643798 : Epoch  3, Batch   2280, Loss  0.858348, Average Loss  0.871129, Time  0.404501
2021-09-09 02:29:38.552908 : Epoch  3, Batch   2281, Loss  0.853786, Average Loss  0.870992, Time  0.464038
2021-09-09 02:29:40.356775 : Epoch  3, Batch   2282, Loss  0.869273, Average Loss  0.871175, Time  0.373683
2021-09-09 02:29:42.146768 : Epoch  3, Batch   2283, Loss  0.859185, Average Loss  0.871165, Time  0.371123
2021-09-09 02:29:43.930776 : Epoch  3, Batch   2284, Loss  0.845703, Average Loss  0.870893, Time  0.365830
2021-09-09 02:29:45.813790 : Epoch  3, Batch   2285, Loss  0.835414, Average Loss  0.870652, Time  0.455097
2021-09-09 02:29:47.684946 : Epoch  3, Batch   2286, Loss  0.868514, Average Loss  0.870626, Time  0.449708
2021-09-09 02:29:49.472336 : Epoch  3, Batch   2287, Loss  0.895997, Average Loss  0.870537, Time  0.359963
2021-09-09 02:29:51.266892 : Epoch  3, Batch   2288, Loss  0.868218, Average Loss  0.870441, Time  0.363332
2021-09-09 02:29:53.187125 : Epoch  3, Batch   2289, Loss  0.844797, Average Loss  0.870302, Time  0.420273
2021-09-09 02:29:55.162778 : Epoch  3, Batch   2290, Loss  0.870881, Average Loss  0.870358, Time  0.487963
2021-09-09 02:29:57.130153 : Epoch  3, Batch   2291, Loss  0.858003, Average Loss  0.870283, Time  0.484167
2021-09-09 02:29:58.997940 : Epoch  3, Batch   2292, Loss  0.840227, Average Loss  0.869910, Time  0.401261
2021-09-09 02:30:00.776768 : Epoch  3, Batch   2293, Loss  0.851080, Average Loss  0.869808, Time  0.360528
2021-09-09 02:30:02.568471 : Epoch  3, Batch   2294, Loss  0.849248, Average Loss  0.869802, Time  0.368201
2021-09-09 02:30:04.477857 : Epoch  3, Batch   2295, Loss  0.869657, Average Loss  0.869722, Time  0.455134
2021-09-09 02:30:06.228855 : Epoch  3, Batch   2296, Loss  0.863253, Average Loss  0.869609, Time  0.339238
2021-09-09 02:30:08.105780 : Epoch  3, Batch   2297, Loss  0.848101, Average Loss  0.869468, Time  0.397058
2021-09-09 02:30:09.978746 : Epoch  3, Batch   2298, Loss  0.864760, Average Loss  0.869463, Time  0.412726
2021-09-09 02:30:11.954031 : Epoch  3, Batch   2299, Loss  0.886192, Average Loss  0.869610, Time  0.477129
2021-09-09 02:30:13.904013 : Epoch  3, Batch   2300, Loss  0.856756, Average Loss  0.869681, Time  0.485170
2021-09-09 02:30:15.844001 : Epoch  3, Batch   2301, Loss  0.879785, Average Loss  0.869811, Time  0.474538
2021-09-09 02:30:17.654303 : Epoch  3, Batch   2302, Loss  0.875734, Average Loss  0.869876, Time  0.358958
2021-09-09 02:30:19.505829 : Epoch  3, Batch   2303, Loss  0.848450, Average Loss  0.869751, Time  0.405437
2021-09-09 02:30:21.333572 : Epoch  3, Batch   2304, Loss  0.867031, Average Loss  0.869807, Time  0.398819
2021-09-09 02:30:23.160799 : Epoch  3, Batch   2305, Loss  0.903590, Average Loss  0.869878, Time  0.405184
2021-09-09 02:30:24.949944 : Epoch  3, Batch   2306, Loss  0.875506, Average Loss  0.869855, Time  0.370472
2021-09-09 02:30:26.737784 : Epoch  3, Batch   2307, Loss  0.886623, Average Loss  0.869905, Time  0.354405
2021-09-09 02:30:28.593293 : Epoch  3, Batch   2308, Loss  0.876712, Average Loss  0.869926, Time  0.423288
2021-09-09 02:30:30.477162 : Epoch  3, Batch   2309, Loss  0.871487, Average Loss  0.869922, Time  0.455942
2021-09-09 02:30:32.273274 : Epoch  3, Batch   2310, Loss  0.850916, Average Loss  0.869776, Time  0.358252
2021-09-09 02:30:34.149782 : Epoch  3, Batch   2311, Loss  0.880436, Average Loss  0.869833, Time  0.398144
2021-09-09 02:30:36.026838 : Epoch  3, Batch   2312, Loss  0.858474, Average Loss  0.869741, Time  0.402732
2021-09-09 02:30:37.983901 : Epoch  3, Batch   2313, Loss  0.897960, Average Loss  0.869852, Time  0.489843
2021-09-09 02:30:39.926851 : Epoch  3, Batch   2314, Loss  0.841868, Average Loss  0.869629, Time  0.470772
2021-09-09 02:30:41.824819 : Epoch  3, Batch   2315, Loss  0.827822, Average Loss  0.869295, Time  0.420103
2021-09-09 02:30:43.688793 : Epoch  3, Batch   2316, Loss  0.876842, Average Loss  0.869321, Time  0.399052
2021-09-09 02:30:45.511002 : Epoch  3, Batch   2317, Loss  0.877196, Average Loss  0.869445, Time  0.372538
2021-09-09 02:30:47.391002 : Epoch  3, Batch   2318, Loss  0.825852, Average Loss  0.869289, Time  0.451934
2021-09-09 02:30:49.320047 : Epoch  3, Batch   2319, Loss  0.858759, Average Loss  0.869115, Time  0.431120
2021-09-09 02:30:51.225828 : Epoch  3, Batch   2320, Loss  0.899590, Average Loss  0.869339, Time  0.402480
2021-09-09 02:30:53.104472 : Epoch  3, Batch   2321, Loss  0.887310, Average Loss  0.869419, Time  0.398419
2021-09-09 02:30:54.991781 : Epoch  3, Batch   2322, Loss  0.862080, Average Loss  0.869549, Time  0.396210
2021-09-09 02:30:56.955777 : Epoch  3, Batch   2323, Loss  0.874903, Average Loss  0.869660, Time  0.487135
2021-09-09 02:30:58.911801 : Epoch  3, Batch   2324, Loss  0.859410, Average Loss  0.869664, Time  0.479969
2021-09-09 02:31:00.782268 : Epoch  3, Batch   2325, Loss  0.832636, Average Loss  0.869455, Time  0.398718
2021-09-09 02:31:02.642947 : Epoch  3, Batch   2326, Loss  0.867708, Average Loss  0.869512, Time  0.397913
2021-09-09 02:31:04.452103 : Epoch  3, Batch   2327, Loss  0.841996, Average Loss  0.869427, Time  0.355726
2021-09-09 02:31:06.321246 : Epoch  3, Batch   2328, Loss  0.865447, Average Loss  0.869415, Time  0.452516
2021-09-09 02:31:08.267114 : Epoch  3, Batch   2329, Loss  0.862548, Average Loss  0.869335, Time  0.471666
2021-09-09 02:31:10.127000 : Epoch  3, Batch   2330, Loss  0.858968, Average Loss  0.869232, Time  0.400585
2021-09-09 02:31:11.984782 : Epoch  3, Batch   2331, Loss  0.853323, Average Loss  0.869263, Time  0.397537
2021-09-09 02:31:13.853788 : Epoch  3, Batch   2332, Loss  0.871554, Average Loss  0.869267, Time  0.409312
2021-09-09 02:31:15.792785 : Epoch  3, Batch   2333, Loss  0.858214, Average Loss  0.869140, Time  0.482560
2021-09-09 02:31:17.660676 : Epoch  3, Batch   2334, Loss  0.863246, Average Loss  0.869200, Time  0.397748
2021-09-09 02:31:19.513832 : Epoch  3, Batch   2335, Loss  0.885595, Average Loss  0.869205, Time  0.398752
2021-09-09 02:31:21.410889 : Epoch  3, Batch   2336, Loss  0.883698, Average Loss  0.869239, Time  0.428401
2021-09-09 02:31:23.365802 : Epoch  3, Batch   2337, Loss  0.867261, Average Loss  0.869200, Time  0.485266
2021-09-09 02:31:25.320241 : Epoch  3, Batch   2338, Loss  0.874847, Average Loss  0.869214, Time  0.480536
2021-09-09 02:31:27.175796 : Epoch  3, Batch   2339, Loss  0.884317, Average Loss  0.869279, Time  0.399799
2021-09-09 02:31:29.045795 : Epoch  3, Batch   2340, Loss  0.892193, Average Loss  0.869434, Time  0.396937
2021-09-09 02:31:30.910843 : Epoch  3, Batch   2341, Loss  0.863053, Average Loss  0.869328, Time  0.396629
2021-09-09 02:31:32.819569 : Epoch  3, Batch   2342, Loss  0.861493, Average Loss  0.869289, Time  0.453666
2021-09-09 02:31:34.801793 : Epoch  3, Batch   2343, Loss  0.867922, Average Loss  0.869324, Time  0.481489
2021-09-09 02:31:36.588843 : Epoch  3, Batch   2344, Loss  0.867753, Average Loss  0.869415, Time  0.360298
2021-09-09 02:31:38.371850 : Epoch  3, Batch   2345, Loss  0.843890, Average Loss  0.869176, Time  0.357443
2021-09-09 02:31:40.254416 : Epoch  3, Batch   2346, Loss  0.863409, Average Loss  0.869018, Time  0.420480
2021-09-09 02:31:42.206458 : Epoch  3, Batch   2347, Loss  0.875075, Average Loss  0.869191, Time  0.488866
2021-09-09 02:31:44.168241 : Epoch  3, Batch   2348, Loss  0.879513, Average Loss  0.869161, Time  0.483661
2021-09-09 02:31:46.034784 : Epoch  3, Batch   2349, Loss  0.900569, Average Loss  0.869265, Time  0.397788
2021-09-09 02:31:47.903363 : Epoch  3, Batch   2350, Loss  0.834044, Average Loss  0.869050, Time  0.400724
2021-09-09 02:31:49.771780 : Epoch  3, Batch   2351, Loss  0.869707, Average Loss  0.869032, Time  0.396964
2021-09-09 02:31:51.729780 : Epoch  3, Batch   2352, Loss  0.881216, Average Loss  0.869203, Time  0.489750
2021-09-09 02:31:53.673397 : Epoch  3, Batch   2353, Loss  0.863969, Average Loss  0.869279, Time  0.481675
2021-09-09 02:31:55.546797 : Epoch  3, Batch   2354, Loss  0.864034, Average Loss  0.869234, Time  0.397450
2021-09-09 02:31:57.416802 : Epoch  3, Batch   2355, Loss  0.851442, Average Loss  0.869025, Time  0.397872
2021-09-09 02:31:59.272777 : Epoch  3, Batch   2356, Loss  0.857849, Average Loss  0.868965, Time  0.397007
2021-09-09 02:32:01.241774 : Epoch  3, Batch   2357, Loss  0.876091, Average Loss  0.869086, Time  0.486855
2021-09-09 02:32:03.229780 : Epoch  3, Batch   2358, Loss  0.894601, Average Loss  0.869247, Time  0.484833
2021-09-09 02:32:05.185827 : Epoch  3, Batch   2359, Loss  0.852923, Average Loss  0.869099, Time  0.478329
2021-09-09 02:32:07.041914 : Epoch  3, Batch   2360, Loss  0.862399, Average Loss  0.868869, Time  0.400263
2021-09-09 02:32:08.905864 : Epoch  3, Batch   2361, Loss  0.894417, Average Loss  0.868942, Time  0.396500
2021-09-09 02:32:10.767032 : Epoch  3, Batch   2362, Loss  0.866374, Average Loss  0.868931, Time  0.398838
2021-09-09 02:32:12.685773 : Epoch  3, Batch   2363, Loss  0.858363, Average Loss  0.868925, Time  0.481658
2021-09-09 02:32:14.557855 : Epoch  3, Batch   2364, Loss  0.867135, Average Loss  0.868917, Time  0.432894
2021-09-09 02:32:16.343779 : Epoch  3, Batch   2365, Loss  0.881389, Average Loss  0.869049, Time  0.360424
2021-09-09 02:32:18.136774 : Epoch  3, Batch   2366, Loss  0.878692, Average Loss  0.868995, Time  0.364843
2021-09-09 02:32:19.977122 : Epoch  3, Batch   2367, Loss  0.852981, Average Loss  0.868907, Time  0.414755
2021-09-09 02:32:21.856790 : Epoch  3, Batch   2368, Loss  0.900456, Average Loss  0.868982, Time  0.455953
2021-09-09 02:32:23.652770 : Epoch  3, Batch   2369, Loss  0.862504, Average Loss  0.868967, Time  0.358083
2021-09-09 02:32:25.436787 : Epoch  3, Batch   2370, Loss  0.839858, Average Loss  0.868860, Time  0.358228
2021-09-09 02:32:27.234328 : Epoch  3, Batch   2371, Loss  0.853972, Average Loss  0.868830, Time  0.370427
2021-09-09 02:32:29.111551 : Epoch  3, Batch   2372, Loss  0.843432, Average Loss  0.868688, Time  0.457297
2021-09-09 02:32:31.086820 : Epoch  3, Batch   2373, Loss  0.853494, Average Loss  0.868632, Time  0.473976
2021-09-09 02:32:32.875926 : Epoch  3, Batch   2374, Loss  0.874414, Average Loss  0.868732, Time  0.360598
2021-09-09 02:32:34.699784 : Epoch  3, Batch   2375, Loss  0.862840, Average Loss  0.868864, Time  0.356671
2021-09-09 02:32:36.535133 : Epoch  3, Batch   2376, Loss  0.847699, Average Loss  0.868839, Time  0.404794
2021-09-09 02:32:38.414460 : Epoch  3, Batch   2377, Loss  0.853106, Average Loss  0.868786, Time  0.455033
2021-09-09 02:32:40.350880 : Epoch  3, Batch   2378, Loss  0.862096, Average Loss  0.868673, Time  0.428313
2021-09-09 02:37:33.878806 : CheckPoint: Validation Loss  0.00057084, Best Loss  0.00057084
2021-09-09 02:37:33.919617 : Best Model Updated
2021-09-09 02:37:39.775793 : Epoch  3, Batch   2379, Loss  0.886078, Average Loss  0.868770, Time  0.363648
2021-09-09 02:37:41.661780 : Epoch  3, Batch   2380, Loss  0.870131, Average Loss  0.868808, Time  0.404218
2021-09-09 02:37:43.552820 : Epoch  3, Batch   2381, Loss  0.872434, Average Loss  0.868780, Time  0.406675
2021-09-09 02:37:45.529169 : Epoch  3, Batch   2382, Loss  0.841222, Average Loss  0.868630, Time  0.483042
2021-09-09 02:37:47.538292 : Epoch  3, Batch   2383, Loss  0.865770, Average Loss  0.868508, Time  0.505857
2021-09-09 02:37:49.523407 : Epoch  3, Batch   2384, Loss  0.868991, Average Loss  0.868476, Time  0.481677
2021-09-09 02:37:51.386844 : Epoch  3, Batch   2385, Loss  0.872841, Average Loss  0.868484, Time  0.390466
2021-09-09 02:37:53.255849 : Epoch  3, Batch   2386, Loss  0.846856, Average Loss  0.868332, Time  0.400022
2021-09-09 02:37:55.151109 : Epoch  3, Batch   2387, Loss  0.886269, Average Loss  0.868434, Time  0.399849
2021-09-09 02:37:57.084013 : Epoch  3, Batch   2388, Loss  0.850872, Average Loss  0.868356, Time  0.466126
2021-09-09 02:37:59.042090 : Epoch  3, Batch   2389, Loss  0.817856, Average Loss  0.868272, Time  0.484947
2021-09-09 02:38:00.895780 : Epoch  3, Batch   2390, Loss  0.853190, Average Loss  0.868214, Time  0.396144
2021-09-09 02:38:02.782998 : Epoch  3, Batch   2391, Loss  0.878830, Average Loss  0.868304, Time  0.398709
2021-09-09 02:38:04.665946 : Epoch  3, Batch   2392, Loss  0.871351, Average Loss  0.868289, Time  0.395866
2021-09-09 02:38:06.626221 : Epoch  3, Batch   2393, Loss  0.894750, Average Loss  0.868428, Time  0.485586
2021-09-09 02:38:08.590788 : Epoch  3, Batch   2394, Loss  0.863455, Average Loss  0.868383, Time  0.481311
2021-09-09 02:38:10.547393 : Epoch  3, Batch   2395, Loss  0.894201, Average Loss  0.868627, Time  0.462586
2021-09-09 02:38:12.425859 : Epoch  3, Batch   2396, Loss  0.886718, Average Loss  0.868638, Time  0.403830
2021-09-09 02:38:14.308782 : Epoch  3, Batch   2397, Loss  0.869026, Average Loss  0.868637, Time  0.397549
2021-09-09 02:38:16.199790 : Epoch  3, Batch   2398, Loss  0.859634, Average Loss  0.868650, Time  0.403312
2021-09-09 02:38:18.170799 : Epoch  3, Batch   2399, Loss  0.891618, Average Loss  0.868688, Time  0.491718
2021-09-09 02:38:20.115199 : Epoch  3, Batch   2400, Loss  0.896172, Average Loss  0.868863, Time  0.482706
2021-09-09 02:38:22.000998 : Epoch  3, Batch   2401, Loss  0.873917, Average Loss  0.868856, Time  0.397675
2021-09-09 02:38:23.874998 : Epoch  3, Batch   2402, Loss  0.898347, Average Loss  0.868906, Time  0.396766
2021-09-09 02:38:25.755370 : Epoch  3, Batch   2403, Loss  0.852250, Average Loss  0.868747, Time  0.401163
2021-09-09 02:38:27.727807 : Epoch  3, Batch   2404, Loss  0.859871, Average Loss  0.868760, Time  0.489840
2021-09-09 02:38:29.687841 : Epoch  3, Batch   2405, Loss  0.877779, Average Loss  0.868812, Time  0.484381
2021-09-09 02:38:31.645010 : Epoch  3, Batch   2406, Loss  0.844924, Average Loss  0.868739, Time  0.471308
2021-09-09 02:38:33.524273 : Epoch  3, Batch   2407, Loss  0.887608, Average Loss  0.868782, Time  0.400569
2021-09-09 02:38:35.401812 : Epoch  3, Batch   2408, Loss  0.896867, Average Loss  0.868905, Time  0.404320
2021-09-09 02:38:37.331794 : Epoch  3, Batch   2409, Loss  0.868563, Average Loss  0.869064, Time  0.421381
2021-09-09 02:38:39.262776 : Epoch  3, Batch   2410, Loss  0.852537, Average Loss  0.869002, Time  0.458154
2021-09-09 02:38:41.099013 : Epoch  3, Batch   2411, Loss  0.854966, Average Loss  0.869000, Time  0.420135
2021-09-09 02:38:43.039218 : Epoch  3, Batch   2412, Loss  0.870671, Average Loss  0.869014, Time  0.414917
2021-09-09 02:38:44.917489 : Epoch  3, Batch   2413, Loss  0.872677, Average Loss  0.869009, Time  0.406022
2021-09-09 02:38:46.793783 : Epoch  3, Batch   2414, Loss  0.855752, Average Loss  0.868983, Time  0.396387
2021-09-09 02:38:48.752780 : Epoch  3, Batch   2415, Loss  0.881366, Average Loss  0.868995, Time  0.481449
2021-09-09 02:38:50.754778 : Epoch  3, Batch   2416, Loss  0.899833, Average Loss  0.869161, Time  0.524938
2021-09-09 02:38:52.646802 : Epoch  3, Batch   2417, Loss  0.872255, Average Loss  0.869352, Time  0.412419
2021-09-09 02:38:54.513827 : Epoch  3, Batch   2418, Loss  0.891571, Average Loss  0.869526, Time  0.398873
2021-09-09 02:38:56.415785 : Epoch  3, Batch   2419, Loss  0.875108, Average Loss  0.869513, Time  0.400690
2021-09-09 02:38:58.399495 : Epoch  3, Batch   2420, Loss  0.878936, Average Loss  0.869613, Time  0.497598
2021-09-09 02:39:00.359777 : Epoch  3, Batch   2421, Loss  0.864230, Average Loss  0.869517, Time  0.492568
2021-09-09 02:39:02.312832 : Epoch  3, Batch   2422, Loss  0.859330, Average Loss  0.869475, Time  0.474796
2021-09-09 02:39:04.210168 : Epoch  3, Batch   2423, Loss  0.852675, Average Loss  0.869300, Time  0.412239
2021-09-09 02:39:06.078356 : Epoch  3, Batch   2424, Loss  0.851392, Average Loss  0.869415, Time  0.397818
2021-09-09 02:39:07.976205 : Epoch  3, Batch   2425, Loss  0.849929, Average Loss  0.869254, Time  0.407325
2021-09-09 02:39:10.071949 : Epoch  3, Batch   2426, Loss  0.869788, Average Loss  0.869361, Time  0.477834
2021-09-09 02:39:12.058341 : Epoch  3, Batch   2427, Loss  0.849457, Average Loss  0.869240, Time  0.492605
2021-09-09 02:39:14.051427 : Epoch  3, Batch   2428, Loss  0.876921, Average Loss  0.869119, Time  0.496188
2021-09-09 02:39:15.927288 : Epoch  3, Batch   2429, Loss  0.861632, Average Loss  0.869104, Time  0.401572
2021-09-09 02:39:17.726524 : Epoch  3, Batch   2430, Loss  0.836580, Average Loss  0.868952, Time  0.354470
2021-09-09 02:39:19.538179 : Epoch  3, Batch   2431, Loss  0.910637, Average Loss  0.869045, Time  0.376938
2021-09-09 02:39:21.419116 : Epoch  3, Batch   2432, Loss  0.889216, Average Loss  0.869156, Time  0.454006
2021-09-09 02:39:23.206833 : Epoch  3, Batch   2433, Loss  0.834498, Average Loss  0.868833, Time  0.344745
2021-09-09 02:39:25.057112 : Epoch  3, Batch   2434, Loss  0.866436, Average Loss  0.868726, Time  0.364312
2021-09-09 02:39:26.873342 : Epoch  3, Batch   2435, Loss  0.847901, Average Loss  0.868595, Time  0.366713
2021-09-09 02:39:28.851070 : Epoch  3, Batch   2436, Loss  0.872404, Average Loss  0.868593, Time  0.486544
2021-09-09 02:39:30.821873 : Epoch  3, Batch   2437, Loss  0.886510, Average Loss  0.868450, Time  0.510159
2021-09-09 02:39:32.781977 : Epoch  3, Batch   2438, Loss  0.863743, Average Loss  0.868339, Time  0.489914
2021-09-09 02:39:34.666759 : Epoch  3, Batch   2439, Loss  0.865141, Average Loss  0.868236, Time  0.398439
2021-09-09 02:39:36.523158 : Epoch  3, Batch   2440, Loss  0.836214, Average Loss  0.868034, Time  0.369510
2021-09-09 02:39:38.353145 : Epoch  3, Batch   2441, Loss  0.852801, Average Loss  0.867928, Time  0.364845
2021-09-09 02:39:40.238321 : Epoch  3, Batch   2442, Loss  0.868652, Average Loss  0.868116, Time  0.454699
2021-09-09 02:39:42.089773 : Epoch  3, Batch   2443, Loss  0.884004, Average Loss  0.868061, Time  0.432457
2021-09-09 02:39:44.001987 : Epoch  3, Batch   2444, Loss  0.876269, Average Loss  0.868069, Time  0.422112
2021-09-09 02:39:45.918822 : Epoch  3, Batch   2445, Loss  0.878769, Average Loss  0.867980, Time  0.436244
2021-09-09 02:39:47.858871 : Epoch  3, Batch   2446, Loss  0.872568, Average Loss  0.867915, Time  0.365788
2021-09-09 02:39:49.745182 : Epoch  3, Batch   2447, Loss  0.863778, Average Loss  0.867771, Time  0.455145
2021-09-09 02:39:51.666202 : Epoch  3, Batch   2448, Loss  0.867569, Average Loss  0.867791, Time  0.433272
2021-09-09 02:39:53.564787 : Epoch  3, Batch   2449, Loss  0.846964, Average Loss  0.867730, Time  0.398364
2021-09-09 02:39:55.451068 : Epoch  3, Batch   2450, Loss  0.880762, Average Loss  0.867918, Time  0.395896
2021-09-09 02:39:57.396825 : Epoch  3, Batch   2451, Loss  0.849650, Average Loss  0.867720, Time  0.449324
2021-09-09 02:39:59.361148 : Epoch  3, Batch   2452, Loss  0.865049, Average Loss  0.867645, Time  0.485558
2021-09-09 02:40:01.319861 : Epoch  3, Batch   2453, Loss  0.846762, Average Loss  0.867468, Time  0.481225
2021-09-09 02:40:03.214781 : Epoch  3, Batch   2454, Loss  0.858478, Average Loss  0.867477, Time  0.396761
2021-09-09 02:40:05.080344 : Epoch  3, Batch   2455, Loss  0.868857, Average Loss  0.867353, Time  0.385719
2021-09-09 02:40:06.950897 : Epoch  3, Batch   2456, Loss  0.849770, Average Loss  0.867382, Time  0.387317
2021-09-09 02:40:08.849240 : Epoch  3, Batch   2457, Loss  0.874071, Average Loss  0.867338, Time  0.456539
2021-09-09 02:40:10.647544 : Epoch  3, Batch   2458, Loss  0.860153, Average Loss  0.867256, Time  0.358696
2021-09-09 02:40:12.447350 : Epoch  3, Batch   2459, Loss  0.891820, Average Loss  0.867432, Time  0.357246
2021-09-09 02:40:14.269773 : Epoch  3, Batch   2460, Loss  0.867382, Average Loss  0.867440, Time  0.398016
2021-09-09 02:40:16.207329 : Epoch  3, Batch   2461, Loss  0.858975, Average Loss  0.867358, Time  0.465453
2021-09-09 02:40:17.989924 : Epoch  3, Batch   2462, Loss  0.863312, Average Loss  0.867249, Time  0.351169
2021-09-09 02:40:19.894308 : Epoch  3, Batch   2463, Loss  0.867825, Average Loss  0.867249, Time  0.423286
2021-09-09 02:40:21.796857 : Epoch  3, Batch   2464, Loss  0.840601, Average Loss  0.867142, Time  0.460690
2021-09-09 02:40:23.653047 : Epoch  3, Batch   2465, Loss  0.859871, Average Loss  0.866947, Time  0.394198
2021-09-09 02:40:25.504997 : Epoch  3, Batch   2466, Loss  0.866464, Average Loss  0.866819, Time  0.375341
2021-09-09 02:40:27.311333 : Epoch  3, Batch   2467, Loss  0.872429, Average Loss  0.866837, Time  0.368165
2021-09-09 02:40:29.165180 : Epoch  3, Batch   2468, Loss  0.905545, Average Loss  0.867022, Time  0.416408
2021-09-09 02:40:31.054318 : Epoch  3, Batch   2469, Loss  0.879623, Average Loss  0.867137, Time  0.463303
2021-09-09 02:40:32.846157 : Epoch  3, Batch   2470, Loss  0.880396, Average Loss  0.867076, Time  0.350962
2021-09-09 02:40:34.632298 : Epoch  3, Batch   2471, Loss  0.829216, Average Loss  0.866666, Time  0.357232
2021-09-09 02:40:36.421791 : Epoch  3, Batch   2472, Loss  0.903644, Average Loss  0.866757, Time  0.366663
2021-09-09 02:40:38.392791 : Epoch  3, Batch   2473, Loss  0.872180, Average Loss  0.866839, Time  0.456249
2021-09-09 02:40:40.274264 : Epoch  3, Batch   2474, Loss  0.844552, Average Loss  0.866645, Time  0.452589
2021-09-09 02:40:42.099063 : Epoch  3, Batch   2475, Loss  0.894251, Average Loss  0.866839, Time  0.360384
2021-09-09 02:40:43.992129 : Epoch  3, Batch   2476, Loss  0.912159, Average Loss  0.866869, Time  0.403898
2021-09-09 02:40:45.866563 : Epoch  3, Batch   2477, Loss  0.858700, Average Loss  0.866834, Time  0.399175
2021-09-09 02:40:47.848163 : Epoch  3, Batch   2478, Loss  0.877596, Average Loss  0.866875, Time  0.498701
2021-09-09 02:45:42.254048 : CheckPoint: Validation Loss  0.00063211, Best Loss  0.00057084
2021-09-09 02:45:44.200776 : Epoch  3, Batch   2479, Loss  0.865238, Average Loss  0.866974, Time  0.475368
2021-09-09 02:45:46.200772 : Epoch  3, Batch   2480, Loss  0.891579, Average Loss  0.867140, Time  0.414768
2021-09-09 02:45:48.002905 : Epoch  3, Batch   2481, Loss  0.889689, Average Loss  0.867320, Time  0.367676
2021-09-09 02:45:49.787002 : Epoch  3, Batch   2482, Loss  0.873195, Average Loss  0.867340, Time  0.361011
2021-09-09 02:45:51.714800 : Epoch  3, Batch   2483, Loss  0.874819, Average Loss  0.867418, Time  0.448976
2021-09-09 02:45:53.716151 : Epoch  3, Batch   2484, Loss  0.867591, Average Loss  0.867527, Time  0.515382
2021-09-09 02:45:55.664078 : Epoch  3, Batch   2485, Loss  0.858559, Average Loss  0.867643, Time  0.484964
2021-09-09 02:45:57.469797 : Epoch  3, Batch   2486, Loss  0.877395, Average Loss  0.867687, Time  0.357200
2021-09-09 02:45:59.374351 : Epoch  3, Batch   2487, Loss  0.886059, Average Loss  0.867638, Time  0.409458
2021-09-09 02:46:01.264443 : Epoch  3, Batch   2488, Loss  0.886191, Average Loss  0.867727, Time  0.407820
2021-09-09 02:46:03.225450 : Epoch  3, Batch   2489, Loss  0.849523, Average Loss  0.867751, Time  0.497334
2021-09-09 02:46:05.173785 : Epoch  3, Batch   2490, Loss  0.868794, Average Loss  0.867741, Time  0.484725
2021-09-09 02:46:07.127151 : Epoch  3, Batch   2491, Loss  0.863214, Average Loss  0.867767, Time  0.462145
2021-09-09 02:46:09.011997 : Epoch  3, Batch   2492, Loss  0.850317, Average Loss  0.867817, Time  0.398833
2021-09-09 02:46:10.880758 : Epoch  3, Batch   2493, Loss  0.840356, Average Loss  0.867764, Time  0.399357
2021-09-09 02:46:12.791796 : Epoch  3, Batch   2494, Loss  0.865830, Average Loss  0.867846, Time  0.398627
2021-09-09 02:46:14.750855 : Epoch  3, Batch   2495, Loss  0.878433, Average Loss  0.867890, Time  0.489681
2021-09-09 02:46:16.717190 : Epoch  3, Batch   2496, Loss  0.890335, Average Loss  0.868026, Time  0.472248
2021-09-09 02:46:18.608823 : Epoch  3, Batch   2497, Loss  0.826618, Average Loss  0.867918, Time  0.398129
2021-09-09 02:46:20.487785 : Epoch  3, Batch   2498, Loss  0.880260, Average Loss  0.867996, Time  0.399716
2021-09-09 02:46:22.392920 : Epoch  3, Batch   2499, Loss  0.877230, Average Loss  0.867951, Time  0.396219
2021-09-09 02:46:24.358639 : Epoch  3, Batch   2500, Loss  0.853714, Average Loss  0.867936, Time  0.480928
2021-09-09 02:46:26.344063 : Epoch  3, Batch   2501, Loss  0.873343, Average Loss  0.867904, Time  0.487494
2021-09-09 02:46:28.319780 : Epoch  3, Batch   2502, Loss  0.884964, Average Loss  0.867950, Time  0.482393
2021-09-09 02:46:30.225414 : Epoch  3, Batch   2503, Loss  0.869358, Average Loss  0.868054, Time  0.400806
2021-09-09 02:46:32.124913 : Epoch  3, Batch   2504, Loss  0.864118, Average Loss  0.868040, Time  0.401540
2021-09-09 02:46:34.000806 : Epoch  3, Batch   2505, Loss  0.853767, Average Loss  0.867791, Time  0.404493
2021-09-09 02:46:36.004198 : Epoch  3, Batch   2506, Loss  0.863747, Average Loss  0.867732, Time  0.490435
2021-09-09 02:46:38.001610 : Epoch  3, Batch   2507, Loss  0.888356, Average Loss  0.867740, Time  0.495186
2021-09-09 02:46:39.952712 : Epoch  3, Batch   2508, Loss  0.852494, Average Loss  0.867619, Time  0.484701
2021-09-09 02:46:41.837823 : Epoch  3, Batch   2509, Loss  0.865366, Average Loss  0.867589, Time  0.396390
2021-09-09 02:46:43.717178 : Epoch  3, Batch   2510, Loss  0.865125, Average Loss  0.867660, Time  0.399094
2021-09-09 02:46:45.601090 : Epoch  3, Batch   2511, Loss  0.865798, Average Loss  0.867587, Time  0.402948
2021-09-09 02:46:47.583410 : Epoch  3, Batch   2512, Loss  0.860084, Average Loss  0.867595, Time  0.489031
2021-09-09 02:46:49.529783 : Epoch  3, Batch   2513, Loss  0.839388, Average Loss  0.867302, Time  0.478510
2021-09-09 02:46:51.329287 : Epoch  3, Batch   2514, Loss  0.856643, Average Loss  0.867376, Time  0.371016
2021-09-09 02:46:53.209846 : Epoch  3, Batch   2515, Loss  0.877165, Average Loss  0.867622, Time  0.404001
2021-09-09 02:46:55.097784 : Epoch  3, Batch   2516, Loss  0.856958, Average Loss  0.867523, Time  0.400680
2021-09-09 02:46:57.066063 : Epoch  3, Batch   2517, Loss  0.822284, Average Loss  0.867248, Time  0.487185
2021-09-09 02:46:59.008784 : Epoch  3, Batch   2518, Loss  0.865801, Average Loss  0.867448, Time  0.485232
2021-09-09 02:47:00.883119 : Epoch  3, Batch   2519, Loss  0.862453, Average Loss  0.867467, Time  0.396657
2021-09-09 02:47:02.741181 : Epoch  3, Batch   2520, Loss  0.833290, Average Loss  0.867135, Time  0.397342
2021-09-09 02:47:04.626957 : Epoch  3, Batch   2521, Loss  0.874040, Average Loss  0.867069, Time  0.402092
2021-09-09 02:47:06.593517 : Epoch  3, Batch   2522, Loss  0.871233, Average Loss  0.867115, Time  0.485131
2021-09-09 02:47:08.544784 : Epoch  3, Batch   2523, Loss  0.859673, Average Loss  0.867038, Time  0.487828
2021-09-09 02:47:10.405324 : Epoch  3, Batch   2524, Loss  0.879831, Average Loss  0.867141, Time  0.396005
2021-09-09 02:47:12.267784 : Epoch  3, Batch   2525, Loss  0.879040, Average Loss  0.867373, Time  0.399297
2021-09-09 02:47:14.136556 : Epoch  3, Batch   2526, Loss  0.876839, Average Loss  0.867418, Time  0.404040
2021-09-09 02:47:16.067174 : Epoch  3, Batch   2527, Loss  0.888266, Average Loss  0.867650, Time  0.485924
2021-09-09 02:47:18.010973 : Epoch  3, Batch   2528, Loss  0.880972, Average Loss  0.867727, Time  0.481609
2021-09-09 02:47:19.858794 : Epoch  3, Batch   2529, Loss  0.897103, Average Loss  0.867900, Time  0.400002
2021-09-09 02:47:21.711527 : Epoch  3, Batch   2530, Loss  0.882945, Average Loss  0.868020, Time  0.402622
2021-09-09 02:47:23.591806 : Epoch  3, Batch   2531, Loss  0.841841, Average Loss  0.867962, Time  0.419608
2021-09-09 02:47:25.550316 : Epoch  3, Batch   2532, Loss  0.878032, Average Loss  0.867995, Time  0.490464
2021-09-09 02:47:27.501347 : Epoch  3, Batch   2533, Loss  0.878683, Average Loss  0.868097, Time  0.484823
2021-09-09 02:47:29.318383 : Epoch  3, Batch   2534, Loss  0.856788, Average Loss  0.868065, Time  0.358269
2021-09-09 02:47:31.185104 : Epoch  3, Batch   2535, Loss  0.861127, Average Loss  0.867943, Time  0.399614
2021-09-09 02:47:33.071027 : Epoch  3, Batch   2536, Loss  0.853577, Average Loss  0.867792, Time  0.404376
2021-09-09 02:47:35.024987 : Epoch  3, Batch   2537, Loss  0.889560, Average Loss  0.867903, Time  0.484955
2021-09-09 02:47:36.978310 : Epoch  3, Batch   2538, Loss  0.884215, Average Loss  0.867950, Time  0.497424
2021-09-09 02:47:38.856677 : Epoch  3, Batch   2539, Loss  0.874679, Average Loss  0.867902, Time  0.398685
2021-09-09 02:47:40.661042 : Epoch  3, Batch   2540, Loss  0.878293, Average Loss  0.867833, Time  0.358574
2021-09-09 02:47:42.455897 : Epoch  3, Batch   2541, Loss  0.854761, Average Loss  0.867791, Time  0.371699
2021-09-09 02:47:44.355462 : Epoch  3, Batch   2542, Loss  0.901835, Average Loss  0.867993, Time  0.454625
2021-09-09 02:47:46.183308 : Epoch  3, Batch   2543, Loss  0.840645, Average Loss  0.867856, Time  0.383893
2021-09-09 02:47:48.037101 : Epoch  3, Batch   2544, Loss  0.880406, Average Loss  0.867920, Time  0.400187
2021-09-09 02:47:49.925797 : Epoch  3, Batch   2545, Loss  0.886198, Average Loss  0.868131, Time  0.405874
2021-09-09 02:47:51.860140 : Epoch  3, Batch   2546, Loss  0.881398, Average Loss  0.868221, Time  0.474469
2021-09-09 02:47:53.815156 : Epoch  3, Batch   2547, Loss  0.890260, Average Loss  0.868297, Time  0.503857
2021-09-09 02:47:55.790325 : Epoch  3, Batch   2548, Loss  0.895359, Average Loss  0.868376, Time  0.492076
2021-09-09 02:47:57.696082 : Epoch  3, Batch   2549, Loss  0.843538, Average Loss  0.868091, Time  0.407555
2021-09-09 02:47:59.588778 : Epoch  3, Batch   2550, Loss  0.853766, Average Loss  0.868190, Time  0.401140
2021-09-09 02:48:01.458011 : Epoch  3, Batch   2551, Loss  0.876733, Average Loss  0.868225, Time  0.403331
2021-09-09 02:48:03.451777 : Epoch  3, Batch   2552, Loss  0.886038, Average Loss  0.868249, Time  0.532275
2021-09-09 02:48:05.426855 : Epoch  3, Batch   2553, Loss  0.878232, Average Loss  0.868320, Time  0.515130
2021-09-09 02:48:07.361777 : Epoch  3, Batch   2554, Loss  0.863158, Average Loss  0.868316, Time  0.459867
2021-09-09 02:48:09.222448 : Epoch  3, Batch   2555, Loss  0.856311, Average Loss  0.868340, Time  0.400085
2021-09-09 02:48:11.101115 : Epoch  3, Batch   2556, Loss  0.868117, Average Loss  0.868392, Time  0.399060
2021-09-09 02:48:12.994107 : Epoch  3, Batch   2557, Loss  0.874329, Average Loss  0.868383, Time  0.404459
2021-09-09 02:48:14.937572 : Epoch  3, Batch   2558, Loss  0.875972, Average Loss  0.868290, Time  0.486903
2021-09-09 02:48:16.770067 : Epoch  3, Batch   2559, Loss  0.892469, Average Loss  0.868487, Time  0.403348
2021-09-09 02:48:18.551373 : Epoch  3, Batch   2560, Loss  0.852191, Average Loss  0.868436, Time  0.360812
2021-09-09 02:48:20.354914 : Epoch  3, Batch   2561, Loss  0.861722, Average Loss  0.868273, Time  0.363154
2021-09-09 02:48:22.216662 : Epoch  3, Batch   2562, Loss  0.871306, Average Loss  0.868298, Time  0.448715
2021-09-09 02:48:24.206245 : Epoch  3, Batch   2563, Loss  0.851951, Average Loss  0.868266, Time  0.495337
2021-09-09 02:48:26.098006 : Epoch  3, Batch   2564, Loss  0.848557, Average Loss  0.868173, Time  0.457937
2021-09-09 02:48:27.967180 : Epoch  3, Batch   2565, Loss  0.878594, Average Loss  0.868159, Time  0.379397
2021-09-09 02:48:29.786257 : Epoch  3, Batch   2566, Loss  0.891143, Average Loss  0.868221, Time  0.364633
2021-09-09 02:48:31.612398 : Epoch  3, Batch   2567, Loss  0.857728, Average Loss  0.868245, Time  0.390140
2021-09-09 02:48:33.497806 : Epoch  3, Batch   2568, Loss  0.851903, Average Loss  0.868002, Time  0.458849
2021-09-09 02:48:35.312171 : Epoch  3, Batch   2569, Loss  0.878962, Average Loss  0.868084, Time  0.384590
2021-09-09 02:48:37.241435 : Epoch  3, Batch   2570, Loss  0.892908, Average Loss  0.868349, Time  0.438610
2021-09-09 02:48:39.117293 : Epoch  3, Batch   2571, Loss  0.889748, Average Loss  0.868528, Time  0.405617
2021-09-09 02:48:41.030847 : Epoch  3, Batch   2572, Loss  0.847508, Average Loss  0.868549, Time  0.436896
2021-09-09 02:48:42.982261 : Epoch  3, Batch   2573, Loss  0.857280, Average Loss  0.868568, Time  0.487089
2021-09-09 02:48:44.872899 : Epoch  3, Batch   2574, Loss  0.873695, Average Loss  0.868564, Time  0.424885
2021-09-09 02:48:46.997802 : Epoch  3, Batch   2575, Loss  0.842381, Average Loss  0.868462, Time  0.441407
2021-09-09 02:48:48.831063 : Epoch  3, Batch   2576, Loss  0.844660, Average Loss  0.868447, Time  0.372473
2021-09-09 02:48:50.698112 : Epoch  3, Batch   2577, Loss  0.885865, Average Loss  0.868610, Time  0.454699
2021-09-09 02:48:58.136796 : Epoch  3, Batch   2578, Loss  0.859847, Average Loss  0.868599, Time  0.365079
2021-09-09 02:53:52.662730 : CheckPoint: Validation Loss  0.00061042, Best Loss  0.00057084
2021-09-09 02:53:54.618342 : Epoch  3, Batch   2579, Loss  0.846518, Average Loss  0.868401, Time  0.483639
2021-09-09 02:53:56.545795 : Epoch  3, Batch   2580, Loss  0.893091, Average Loss  0.868516, Time  0.461093
2021-09-09 02:53:58.403127 : Epoch  3, Batch   2581, Loss  0.858050, Average Loss  0.868444, Time  0.400944
2021-09-09 02:54:00.255195 : Epoch  3, Batch   2582, Loss  0.865924, Average Loss  0.868568, Time  0.396202
2021-09-09 02:54:02.125896 : Epoch  3, Batch   2583, Loss  0.871658, Average Loss  0.868597, Time  0.424792
2021-09-09 02:54:04.079800 : Epoch  3, Batch   2584, Loss  0.881008, Average Loss  0.868657, Time  0.489387
2021-09-09 02:54:06.073018 : Epoch  3, Batch   2585, Loss  0.839765, Average Loss  0.868492, Time  0.483718
2021-09-09 02:54:07.949124 : Epoch  3, Batch   2586, Loss  0.863120, Average Loss  0.868573, Time  0.399977
2021-09-09 02:54:09.772051 : Epoch  3, Batch   2587, Loss  0.863666, Average Loss  0.868460, Time  0.361404
2021-09-09 02:54:11.572801 : Epoch  3, Batch   2588, Loss  0.897428, Average Loss  0.868693, Time  0.355834
2021-09-09 02:54:13.449797 : Epoch  3, Batch   2589, Loss  0.889096, Average Loss  0.869049, Time  0.463929
2021-09-09 02:54:15.218424 : Epoch  3, Batch   2590, Loss  0.823887, Average Loss  0.868903, Time  0.344860
2021-09-09 02:54:17.012001 : Epoch  3, Batch   2591, Loss  0.902125, Average Loss  0.869019, Time  0.359147
2021-09-09 02:54:18.900348 : Epoch  3, Batch   2592, Loss  0.856831, Average Loss  0.868946, Time  0.378026
2021-09-09 02:54:20.833833 : Epoch  3, Batch   2593, Loss  0.877644, Average Loss  0.868861, Time  0.469439
2021-09-09 02:54:22.768081 : Epoch  3, Batch   2594, Loss  0.895351, Average Loss  0.869020, Time  0.459772
2021-09-09 02:54:24.608020 : Epoch  3, Batch   2595, Loss  0.866729, Average Loss  0.868883, Time  0.357183
2021-09-09 02:54:26.535992 : Epoch  3, Batch   2596, Loss  0.877377, Average Loss  0.868836, Time  0.403335
2021-09-09 02:54:28.425616 : Epoch  3, Batch   2597, Loss  0.896887, Average Loss  0.868976, Time  0.402210
2021-09-09 02:54:30.413248 : Epoch  3, Batch   2598, Loss  0.846037, Average Loss  0.868908, Time  0.477454
2021-09-09 02:54:32.357083 : Epoch  3, Batch   2599, Loss  0.869207, Average Loss  0.868796, Time  0.486212
2021-09-09 02:54:34.245807 : Epoch  3, Batch   2600, Loss  0.888534, Average Loss  0.868757, Time  0.435472
2021-09-09 02:54:36.018327 : Epoch  3, Batch   2601, Loss  0.861869, Average Loss  0.868697, Time  0.357098
2021-09-09 02:54:37.818289 : Epoch  3, Batch   2602, Loss  0.893738, Average Loss  0.868674, Time  0.364209
2021-09-09 02:54:39.682807 : Epoch  3, Batch   2603, Loss  0.841849, Average Loss  0.868622, Time  0.411440
2021-09-09 02:54:41.552210 : Epoch  3, Batch   2604, Loss  0.851079, Average Loss  0.868578, Time  0.452296
2021-09-09 02:54:43.346135 : Epoch  3, Batch   2605, Loss  0.866310, Average Loss  0.868521, Time  0.358646
2021-09-09 02:54:45.179264 : Epoch  3, Batch   2606, Loss  0.899676, Average Loss  0.868795, Time  0.357505
2021-09-09 02:54:46.966794 : Epoch  3, Batch   2607, Loss  0.907879, Average Loss  0.868896, Time  0.365548
2021-09-09 02:54:48.834990 : Epoch  3, Batch   2608, Loss  0.874679, Average Loss  0.868785, Time  0.451628
2021-09-09 02:54:50.646791 : Epoch  3, Batch   2609, Loss  0.835023, Average Loss  0.868617, Time  0.357050
2021-09-09 02:54:52.427928 : Epoch  3, Batch   2610, Loss  0.857723, Average Loss  0.868643, Time  0.360009
2021-09-09 02:54:54.246289 : Epoch  3, Batch   2611, Loss  0.848190, Average Loss  0.868609, Time  0.393691
2021-09-09 02:54:56.226795 : Epoch  3, Batch   2612, Loss  0.854158, Average Loss  0.868527, Time  0.502244
2021-09-09 02:54:58.199891 : Epoch  3, Batch   2613, Loss  0.854130, Average Loss  0.868434, Time  0.484972
2021-09-09 02:55:00.105176 : Epoch  3, Batch   2614, Loss  0.860536, Average Loss  0.868458, Time  0.427677
2021-09-09 02:55:01.972841 : Epoch  3, Batch   2615, Loss  0.872834, Average Loss  0.868415, Time  0.407005
2021-09-09 02:55:03.833045 : Epoch  3, Batch   2616, Loss  0.869073, Average Loss  0.868262, Time  0.395269
2021-09-09 02:55:05.795633 : Epoch  3, Batch   2617, Loss  0.870360, Average Loss  0.868252, Time  0.487997
2021-09-09 02:55:07.773783 : Epoch  3, Batch   2618, Loss  0.867722, Average Loss  0.868133, Time  0.512352
2021-09-09 02:55:09.565292 : Epoch  3, Batch   2619, Loss  0.859307, Average Loss  0.868054, Time  0.349371
2021-09-09 02:55:11.369960 : Epoch  3, Batch   2620, Loss  0.858607, Average Loss  0.867952, Time  0.359732
2021-09-09 02:55:13.166930 : Epoch  3, Batch   2621, Loss  0.862464, Average Loss  0.867943, Time  0.369379
2021-09-09 02:55:15.147919 : Epoch  3, Batch   2622, Loss  0.844689, Average Loss  0.867870, Time  0.498489
2021-09-09 02:55:17.063454 : Epoch  3, Batch   2623, Loss  0.881857, Average Loss  0.868016, Time  0.450068
2021-09-09 02:55:18.859049 : Epoch  3, Batch   2624, Loss  0.871998, Average Loss  0.868119, Time  0.361864
2021-09-09 02:55:20.646134 : Epoch  3, Batch   2625, Loss  0.846278, Average Loss  0.868101, Time  0.362096
2021-09-09 02:55:22.482835 : Epoch  3, Batch   2626, Loss  0.888134, Average Loss  0.868193, Time  0.395756
2021-09-09 02:55:24.372791 : Epoch  3, Batch   2627, Loss  0.876422, Average Loss  0.868327, Time  0.454911
2021-09-09 02:55:26.143770 : Epoch  3, Batch   2628, Loss  0.848806, Average Loss  0.868187, Time  0.358841
2021-09-09 02:55:28.111199 : Epoch  3, Batch   2629, Loss  0.851012, Average Loss  0.868134, Time  0.417314
2021-09-09 02:55:29.914944 : Epoch  3, Batch   2630, Loss  0.857592, Average Loss  0.868239, Time  0.359664
2021-09-09 02:55:31.875070 : Epoch  3, Batch   2631, Loss  0.884051, Average Loss  0.868106, Time  0.455213
2021-09-09 02:55:33.813182 : Epoch  3, Batch   2632, Loss  0.849069, Average Loss  0.867905, Time  0.480650
2021-09-09 02:55:35.684012 : Epoch  3, Batch   2633, Loss  0.874978, Average Loss  0.868107, Time  0.396921
2021-09-09 02:55:37.549358 : Epoch  3, Batch   2634, Loss  0.853993, Average Loss  0.868045, Time  0.398307
2021-09-09 02:55:39.379792 : Epoch  3, Batch   2635, Loss  0.893740, Average Loss  0.868274, Time  0.382824
2021-09-09 02:55:41.266289 : Epoch  3, Batch   2636, Loss  0.864628, Average Loss  0.868236, Time  0.466106
2021-09-09 02:55:43.051795 : Epoch  3, Batch   2637, Loss  0.858106, Average Loss  0.868094, Time  0.349025
2021-09-09 02:55:44.862961 : Epoch  3, Batch   2638, Loss  0.860340, Average Loss  0.868077, Time  0.363859
2021-09-09 02:55:46.678854 : Epoch  3, Batch   2639, Loss  0.884640, Average Loss  0.868174, Time  0.360490
2021-09-09 02:55:48.577776 : Epoch  3, Batch   2640, Loss  0.858963, Average Loss  0.868288, Time  0.488314
2021-09-09 02:55:50.538993 : Epoch  3, Batch   2641, Loss  0.876412, Average Loss  0.868406, Time  0.492004
2021-09-09 02:55:52.408382 : Epoch  3, Batch   2642, Loss  0.876724, Average Loss  0.868446, Time  0.390409
2021-09-09 02:55:54.284160 : Epoch  3, Batch   2643, Loss  0.883033, Average Loss  0.868441, Time  0.400112
2021-09-09 02:55:56.189404 : Epoch  3, Batch   2644, Loss  0.879801, Average Loss  0.868459, Time  0.396602
2021-09-09 02:55:58.116126 : Epoch  3, Batch   2645, Loss  0.836714, Average Loss  0.868249, Time  0.451465
2021-09-09 02:56:00.085973 : Epoch  3, Batch   2646, Loss  0.890994, Average Loss  0.868341, Time  0.477759
2021-09-09 02:56:01.962918 : Epoch  3, Batch   2647, Loss  0.864602, Average Loss  0.868345, Time  0.397127
2021-09-09 02:56:03.827158 : Epoch  3, Batch   2648, Loss  0.855553, Average Loss  0.868285, Time  0.399870
2021-09-09 02:56:05.706782 : Epoch  3, Batch   2649, Loss  0.863027, Average Loss  0.868365, Time  0.398689
2021-09-09 02:56:07.680980 : Epoch  3, Batch   2650, Loss  0.845142, Average Loss  0.868187, Time  0.489959
2021-09-09 02:56:09.629887 : Epoch  3, Batch   2651, Loss  0.872775, Average Loss  0.868303, Time  0.488954
2021-09-09 02:56:11.442775 : Epoch  3, Batch   2652, Loss  0.847394, Average Loss  0.868214, Time  0.353956
2021-09-09 02:56:13.211516 : Epoch  3, Batch   2653, Loss  0.854687, Average Loss  0.868254, Time  0.355392
2021-09-09 02:56:15.013142 : Epoch  3, Batch   2654, Loss  0.851399, Average Loss  0.868219, Time  0.381226
2021-09-09 02:56:16.891021 : Epoch  3, Batch   2655, Loss  0.865479, Average Loss  0.868202, Time  0.452773
2021-09-09 02:56:18.671820 : Epoch  3, Batch   2656, Loss  0.890589, Average Loss  0.868406, Time  0.360063
2021-09-09 02:56:20.447860 : Epoch  3, Batch   2657, Loss  0.828600, Average Loss  0.868179, Time  0.358406
2021-09-09 02:56:22.255151 : Epoch  3, Batch   2658, Loss  0.897649, Average Loss  0.868366, Time  0.375794
2021-09-09 02:56:24.128472 : Epoch  3, Batch   2659, Loss  0.875039, Average Loss  0.868282, Time  0.453173
2021-09-09 02:56:25.910016 : Epoch  3, Batch   2660, Loss  0.856190, Average Loss  0.868226, Time  0.356285
2021-09-09 02:56:27.805168 : Epoch  3, Batch   2661, Loss  0.900842, Average Loss  0.868435, Time  0.398346
2021-09-09 02:56:29.656964 : Epoch  3, Batch   2662, Loss  0.855042, Average Loss  0.868394, Time  0.396700
2021-09-09 02:56:31.707605 : Epoch  3, Batch   2663, Loss  0.836510, Average Loss  0.868238, Time  0.487899
2021-09-09 02:56:33.600775 : Epoch  3, Batch   2664, Loss  0.890384, Average Loss  0.868486, Time  0.446242
2021-09-09 02:56:35.450825 : Epoch  3, Batch   2665, Loss  0.842590, Average Loss  0.868400, Time  0.367538
2021-09-09 02:56:37.320210 : Epoch  3, Batch   2666, Loss  0.871679, Average Loss  0.868426, Time  0.414599
2021-09-09 02:56:39.206189 : Epoch  3, Batch   2667, Loss  0.845219, Average Loss  0.868290, Time  0.409624
2021-09-09 02:56:41.176213 : Epoch  3, Batch   2668, Loss  0.872674, Average Loss  0.868126, Time  0.493205
2021-09-09 02:56:43.114219 : Epoch  3, Batch   2669, Loss  0.881244, Average Loss  0.868134, Time  0.469372
2021-09-09 02:56:44.968366 : Epoch  3, Batch   2670, Loss  0.830196, Average Loss  0.867883, Time  0.397036
2021-09-09 02:56:46.839750 : Epoch  3, Batch   2671, Loss  0.894681, Average Loss  0.868210, Time  0.398116
2021-09-09 02:56:48.707164 : Epoch  3, Batch   2672, Loss  0.870819, Average Loss  0.868046, Time  0.397467
2021-09-09 02:56:50.661157 : Epoch  3, Batch   2673, Loss  0.855088, Average Loss  0.867961, Time  0.484979
2021-09-09 02:56:52.618211 : Epoch  3, Batch   2674, Loss  0.855640, Average Loss  0.868016, Time  0.481045
2021-09-09 02:56:54.510125 : Epoch  3, Batch   2675, Loss  0.905817, Average Loss  0.868074, Time  0.399827
2021-09-09 02:56:56.371336 : Epoch  3, Batch   2676, Loss  0.867717, Average Loss  0.867852, Time  0.399103
2021-09-09 02:56:58.219032 : Epoch  3, Batch   2677, Loss  0.879757, Average Loss  0.867957, Time  0.399659
2021-09-09 02:57:00.196448 : Epoch  3, Batch   2678, Loss  0.865551, Average Loss  0.867897, Time  0.487088
2021-09-09 03:01:54.372108 : CheckPoint: Validation Loss  0.00058110, Best Loss  0.00057084
2021-09-09 03:01:56.237794 : Epoch  3, Batch   2679, Loss  0.854559, Average Loss  0.867843, Time  0.416986
2021-09-09 03:01:58.113382 : Epoch  3, Batch   2680, Loss  0.862786, Average Loss  0.867699, Time  0.410243
2021-09-09 03:02:00.014279 : Epoch  3, Batch   2681, Loss  0.884268, Average Loss  0.867672, Time  0.415251
2021-09-09 03:02:01.901106 : Epoch  3, Batch   2682, Loss  0.872474, Average Loss  0.867669, Time  0.415667
2021-09-09 03:02:03.888331 : Epoch  3, Batch   2683, Loss  0.864080, Average Loss  0.867615, Time  0.506469
2021-09-09 03:02:05.839958 : Epoch  3, Batch   2684, Loss  0.907875, Average Loss  0.867816, Time  0.477244
2021-09-09 03:02:07.701897 : Epoch  3, Batch   2685, Loss  0.873011, Average Loss  0.867889, Time  0.400012
2021-09-09 03:02:09.576051 : Epoch  3, Batch   2686, Loss  0.849478, Average Loss  0.867749, Time  0.400021
2021-09-09 03:02:11.473220 : Epoch  3, Batch   2687, Loss  0.877337, Average Loss  0.867705, Time  0.398436
2021-09-09 03:02:13.426922 : Epoch  3, Batch   2688, Loss  0.892340, Average Loss  0.867736, Time  0.479331
2021-09-09 03:02:15.393975 : Epoch  3, Batch   2689, Loss  0.870436, Average Loss  0.867841, Time  0.481413
2021-09-09 03:02:17.285936 : Epoch  3, Batch   2690, Loss  0.855650, Average Loss  0.867775, Time  0.397506
2021-09-09 03:02:19.174841 : Epoch  3, Batch   2691, Loss  0.842261, Average Loss  0.867670, Time  0.397414
2021-09-09 03:02:21.050134 : Epoch  3, Batch   2692, Loss  0.861724, Average Loss  0.867727, Time  0.396762
2021-09-09 03:02:23.014059 : Epoch  3, Batch   2693, Loss  0.871208, Average Loss  0.867882, Time  0.486940
2021-09-09 03:02:24.985401 : Epoch  3, Batch   2694, Loss  0.873487, Average Loss  0.867920, Time  0.484922
2021-09-09 03:02:26.946470 : Epoch  3, Batch   2695, Loss  0.842175, Average Loss  0.867739, Time  0.453928
2021-09-09 03:02:28.788794 : Epoch  3, Batch   2696, Loss  0.868087, Average Loss  0.867627, Time  0.372006
2021-09-09 03:02:30.638156 : Epoch  3, Batch   2697, Loss  0.884697, Average Loss  0.867918, Time  0.362301
2021-09-09 03:02:32.494821 : Epoch  3, Batch   2698, Loss  0.879328, Average Loss  0.867913, Time  0.412556
2021-09-09 03:02:34.377862 : Epoch  3, Batch   2699, Loss  0.861441, Average Loss  0.867834, Time  0.454624
2021-09-09 03:02:36.194793 : Epoch  3, Batch   2700, Loss  0.874454, Average Loss  0.867938, Time  0.364503
2021-09-09 03:02:38.001772 : Epoch  3, Batch   2701, Loss  0.871598, Average Loss  0.867929, Time  0.364169
2021-09-09 03:02:39.903990 : Epoch  3, Batch   2702, Loss  0.892783, Average Loss  0.867968, Time  0.414347
2021-09-09 03:02:41.899916 : Epoch  3, Batch   2703, Loss  0.858137, Average Loss  0.867912, Time  0.518900
2021-09-09 03:02:43.898277 : Epoch  3, Batch   2704, Loss  0.876310, Average Loss  0.867973, Time  0.506995
2021-09-09 03:02:45.685789 : Epoch  3, Batch   2705, Loss  0.904282, Average Loss  0.868226, Time  0.358990
2021-09-09 03:02:47.498360 : Epoch  3, Batch   2706, Loss  0.859451, Average Loss  0.868204, Time  0.367022
2021-09-09 03:02:49.442479 : Epoch  3, Batch   2707, Loss  0.891749, Average Loss  0.868221, Time  0.407614
2021-09-09 03:02:51.450864 : Epoch  3, Batch   2708, Loss  0.864815, Average Loss  0.868283, Time  0.511738
2021-09-09 03:02:53.340554 : Epoch  3, Batch   2709, Loss  0.838331, Average Loss  0.868148, Time  0.448232
2021-09-09 03:02:55.173833 : Epoch  3, Batch   2710, Loss  0.909201, Average Loss  0.868368, Time  0.360533
2021-09-09 03:02:56.990715 : Epoch  3, Batch   2711, Loss  0.869979, Average Loss  0.868389, Time  0.356742
2021-09-09 03:02:58.881236 : Epoch  3, Batch   2712, Loss  0.848553, Average Loss  0.868331, Time  0.404230
2021-09-09 03:03:00.872363 : Epoch  3, Batch   2713, Loss  0.878222, Average Loss  0.868525, Time  0.508720
2021-09-09 03:03:02.899781 : Epoch  3, Batch   2714, Loss  0.884626, Average Loss  0.868665, Time  0.511487
2021-09-09 03:03:04.859448 : Epoch  3, Batch   2715, Loss  0.854760, Average Loss  0.868553, Time  0.493685
2021-09-09 03:03:06.780363 : Epoch  3, Batch   2716, Loss  0.884733, Average Loss  0.868692, Time  0.437058
2021-09-09 03:03:08.588777 : Epoch  3, Batch   2717, Loss  0.838688, Average Loss  0.868774, Time  0.358697
2021-09-09 03:03:10.485380 : Epoch  3, Batch   2718, Loss  0.887391, Average Loss  0.868882, Time  0.407037
2021-09-09 03:03:12.462478 : Epoch  3, Batch   2719, Loss  0.895144, Average Loss  0.869046, Time  0.484601
2021-09-09 03:03:14.432317 : Epoch  3, Batch   2720, Loss  0.918740, Average Loss  0.869473, Time  0.467843
2021-09-09 03:03:16.212820 : Epoch  3, Batch   2721, Loss  0.861996, Average Loss  0.869413, Time  0.361366
2021-09-09 03:03:18.010071 : Epoch  3, Batch   2722, Loss  0.872354, Average Loss  0.869418, Time  0.357501
2021-09-09 03:03:19.958889 : Epoch  3, Batch   2723, Loss  0.874489, Average Loss  0.869492, Time  0.461901
2021-09-09 03:03:21.918675 : Epoch  3, Batch   2724, Loss  0.861423, Average Loss  0.869400, Time  0.482382
2021-09-09 03:03:23.830882 : Epoch  3, Batch   2725, Loss  0.866280, Average Loss  0.869336, Time  0.469894
2021-09-09 03:03:25.630963 : Epoch  3, Batch   2726, Loss  0.855967, Average Loss  0.869232, Time  0.357015
2021-09-09 03:03:27.410964 : Epoch  3, Batch   2727, Loss  0.849576, Average Loss  0.869039, Time  0.358425
2021-09-09 03:03:29.239663 : Epoch  3, Batch   2728, Loss  0.867601, Average Loss  0.868972, Time  0.392812
2021-09-09 03:03:31.139885 : Epoch  3, Batch   2729, Loss  0.885102, Average Loss  0.868912, Time  0.476318
2021-09-09 03:03:33.031021 : Epoch  3, Batch   2730, Loss  0.857459, Average Loss  0.868784, Time  0.444279
2021-09-09 03:03:34.891835 : Epoch  3, Batch   2731, Loss  0.847002, Average Loss  0.868810, Time  0.359239
2021-09-09 03:03:36.701161 : Epoch  3, Batch   2732, Loss  0.881825, Average Loss  0.868829, Time  0.360871
2021-09-09 03:03:38.562021 : Epoch  3, Batch   2733, Loss  0.857519, Average Loss  0.868723, Time  0.389129
2021-09-09 03:03:40.613389 : Epoch  3, Batch   2734, Loss  0.880157, Average Loss  0.868840, Time  0.508547
2021-09-09 03:03:42.574385 : Epoch  3, Batch   2735, Loss  0.840387, Average Loss  0.868736, Time  0.465168
2021-09-09 03:03:44.367678 : Epoch  3, Batch   2736, Loss  0.869882, Average Loss  0.868818, Time  0.357802
2021-09-09 03:03:46.239025 : Epoch  3, Batch   2737, Loss  0.851607, Average Loss  0.868628, Time  0.404043
2021-09-09 03:03:48.081018 : Epoch  3, Batch   2738, Loss  0.834848, Average Loss  0.868381, Time  0.364711
2021-09-09 03:03:49.976496 : Epoch  3, Batch   2739, Loss  0.853924, Average Loss  0.868278, Time  0.450344
2021-09-09 03:03:51.949012 : Epoch  3, Batch   2740, Loss  0.869706, Average Loss  0.868235, Time  0.463758
2021-09-09 03:03:53.806775 : Epoch  3, Batch   2741, Loss  0.883714, Average Loss  0.868379, Time  0.374491
2021-09-09 03:03:55.676193 : Epoch  3, Batch   2742, Loss  0.842659, Average Loss  0.868083, Time  0.367790
2021-09-09 03:03:57.495776 : Epoch  3, Batch   2743, Loss  0.857945, Average Loss  0.868170, Time  0.358441
2021-09-09 03:03:59.436885 : Epoch  3, Batch   2744, Loss  0.866608, Average Loss  0.868101, Time  0.462810
2021-09-09 03:04:01.336793 : Epoch  3, Batch   2745, Loss  0.837427, Average Loss  0.867857, Time  0.469474
2021-09-09 03:04:03.145947 : Epoch  3, Batch   2746, Loss  0.898938, Average Loss  0.867945, Time  0.359629
2021-09-09 03:04:04.927167 : Epoch  3, Batch   2747, Loss  0.865565, Average Loss  0.867821, Time  0.356306
2021-09-09 03:04:06.824010 : Epoch  3, Batch   2748, Loss  0.880248, Average Loss  0.867746, Time  0.399312
2021-09-09 03:04:08.759698 : Epoch  3, Batch   2749, Loss  0.862507, Average Loss  0.867841, Time  0.460494
2021-09-09 03:04:10.623802 : Epoch  3, Batch   2750, Loss  0.894187, Average Loss  0.868043, Time  0.433357
2021-09-09 03:04:12.405958 : Epoch  3, Batch   2751, Loss  0.860148, Average Loss  0.867960, Time  0.357148
2021-09-09 03:04:14.212009 : Epoch  3, Batch   2752, Loss  0.871575, Average Loss  0.867888, Time  0.362005
2021-09-09 03:04:16.075361 : Epoch  3, Batch   2753, Loss  0.852753, Average Loss  0.867760, Time  0.426458
2021-09-09 03:04:18.014125 : Epoch  3, Batch   2754, Loss  0.864354, Average Loss  0.867766, Time  0.462637
2021-09-09 03:04:20.014147 : Epoch  3, Batch   2755, Loss  0.866716, Average Loss  0.867818, Time  0.465793
2021-09-09 03:04:21.853772 : Epoch  3, Batch   2756, Loss  0.860696, Average Loss  0.867781, Time  0.370358
2021-09-09 03:04:23.728891 : Epoch  3, Batch   2757, Loss  0.851218, Average Loss  0.867665, Time  0.356714
2021-09-09 03:04:25.521857 : Epoch  3, Batch   2758, Loss  0.876798, Average Loss  0.867670, Time  0.363060
2021-09-09 03:04:27.428976 : Epoch  3, Batch   2759, Loss  0.848898, Average Loss  0.867452, Time  0.476647
2021-09-09 03:04:29.222255 : Epoch  3, Batch   2760, Loss  0.879767, Average Loss  0.867590, Time  0.358413
2021-09-09 03:04:31.014865 : Epoch  3, Batch   2761, Loss  0.878012, Average Loss  0.867671, Time  0.362988
2021-09-09 03:04:32.835773 : Epoch  3, Batch   2762, Loss  0.857060, Average Loss  0.867600, Time  0.378081
2021-09-09 03:04:34.765417 : Epoch  3, Batch   2763, Loss  0.870734, Average Loss  0.867694, Time  0.500549
2021-09-09 03:04:36.667819 : Epoch  3, Batch   2764, Loss  0.895949, Average Loss  0.867931, Time  0.446031
2021-09-09 03:04:38.457006 : Epoch  3, Batch   2765, Loss  0.831662, Average Loss  0.867696, Time  0.361105
2021-09-09 03:04:40.272871 : Epoch  3, Batch   2766, Loss  0.893441, Average Loss  0.867708, Time  0.369444
2021-09-09 03:04:42.174070 : Epoch  3, Batch   2767, Loss  0.860194, Average Loss  0.867720, Time  0.439748
2021-09-09 03:04:44.194994 : Epoch  3, Batch   2768, Loss  0.861233, Average Loss  0.867766, Time  0.544700
2021-09-09 03:04:46.148015 : Epoch  3, Batch   2769, Loss  0.869941, Average Loss  0.867721, Time  0.485924
2021-09-09 03:04:48.068350 : Epoch  3, Batch   2770, Loss  0.892143, Average Loss  0.867718, Time  0.454623
2021-09-09 03:04:49.954902 : Epoch  3, Batch   2771, Loss  0.861949, Average Loss  0.867579, Time  0.419895
2021-09-09 03:04:51.844966 : Epoch  3, Batch   2772, Loss  0.850089, Average Loss  0.867591, Time  0.403313
2021-09-09 03:04:53.767803 : Epoch  3, Batch   2773, Loss  0.884941, Average Loss  0.867730, Time  0.420025
2021-09-09 03:04:55.767852 : Epoch  3, Batch   2774, Loss  0.850827, Average Loss  0.867615, Time  0.509980
2021-09-09 03:04:57.726978 : Epoch  3, Batch   2775, Loss  0.874092, Average Loss  0.867774, Time  0.493640
2021-09-09 03:04:59.582959 : Epoch  3, Batch   2776, Loss  0.903193, Average Loss  0.868067, Time  0.385422
2021-09-09 03:05:01.484808 : Epoch  3, Batch   2777, Loss  0.863878, Average Loss  0.867957, Time  0.421817
2021-09-09 03:05:03.367891 : Epoch  3, Batch   2778, Loss  0.850367, Average Loss  0.867909, Time  0.417048
2021-09-09 03:09:58.064729 : CheckPoint: Validation Loss  0.00060655, Best Loss  0.00057084
2021-09-09 03:09:59.913801 : Epoch  3, Batch   2779, Loss  0.845465, Average Loss  0.867904, Time  0.371450
2021-09-09 03:10:01.822233 : Epoch  3, Batch   2780, Loss  0.859094, Average Loss  0.867734, Time  0.411089
2021-09-09 03:10:03.802672 : Epoch  3, Batch   2781, Loss  0.893352, Average Loss  0.867911, Time  0.521602
2021-09-09 03:10:05.747388 : Epoch  3, Batch   2782, Loss  0.855506, Average Loss  0.867859, Time  0.480299
2021-09-09 03:10:07.640845 : Epoch  3, Batch   2783, Loss  0.847378, Average Loss  0.867737, Time  0.407960
2021-09-09 03:10:09.537216 : Epoch  3, Batch   2784, Loss  0.872162, Average Loss  0.867693, Time  0.399762
2021-09-09 03:10:11.510952 : Epoch  3, Batch   2785, Loss  0.882809, Average Loss  0.867908, Time  0.425611
2021-09-09 03:10:13.407788 : Epoch  3, Batch   2786, Loss  0.851489, Average Loss  0.867850, Time  0.442370
2021-09-09 03:10:15.302992 : Epoch  3, Batch   2787, Loss  0.879800, Average Loss  0.867931, Time  0.467673
2021-09-09 03:10:17.155064 : Epoch  3, Batch   2788, Loss  0.856286, Average Loss  0.867725, Time  0.388687
2021-09-09 03:10:18.967773 : Epoch  3, Batch   2789, Loss  0.839672, Average Loss  0.867478, Time  0.365587
2021-09-09 03:10:20.767184 : Epoch  3, Batch   2790, Loss  0.885263, Average Loss  0.867785, Time  0.356370
2021-09-09 03:10:22.650185 : Epoch  3, Batch   2791, Loss  0.844609, Average Loss  0.867497, Time  0.440101
2021-09-09 03:10:24.523071 : Epoch  3, Batch   2792, Loss  0.869989, Average Loss  0.867563, Time  0.451681
2021-09-09 03:10:26.314797 : Epoch  3, Batch   2793, Loss  0.882086, Average Loss  0.867585, Time  0.357333
2021-09-09 03:10:28.132362 : Epoch  3, Batch   2794, Loss  0.868365, Average Loss  0.867450, Time  0.360304
2021-09-09 03:10:29.934796 : Epoch  3, Batch   2795, Loss  0.852445, Average Loss  0.867379, Time  0.363493
2021-09-09 03:10:31.852484 : Epoch  3, Batch   2796, Loss  0.887738, Average Loss  0.867431, Time  0.463854
2021-09-09 03:10:33.748760 : Epoch  3, Batch   2797, Loss  0.868465, Average Loss  0.867288, Time  0.427416
2021-09-09 03:10:35.542839 : Epoch  3, Batch   2798, Loss  0.848480, Average Loss  0.867301, Time  0.358502
2021-09-09 03:10:37.336098 : Epoch  3, Batch   2799, Loss  0.865361, Average Loss  0.867281, Time  0.357836
2021-09-09 03:10:39.191097 : Epoch  3, Batch   2800, Loss  0.864142, Average Loss  0.867159, Time  0.422158
2021-09-09 03:10:41.294776 : Epoch  3, Batch   2801, Loss  0.836119, Average Loss  0.867031, Time  0.533381
2021-09-09 03:10:43.326293 : Epoch  3, Batch   2802, Loss  0.864042, Average Loss  0.866882, Time  0.514779
2021-09-09 03:10:45.260191 : Epoch  3, Batch   2803, Loss  0.889525, Average Loss  0.867121, Time  0.452053
2021-09-09 03:10:47.167428 : Epoch  3, Batch   2804, Loss  0.888564, Average Loss  0.867308, Time  0.379696
2021-09-09 03:10:49.095961 : Epoch  3, Batch   2805, Loss  0.878823, Average Loss  0.867371, Time  0.426121
2021-09-09 03:10:50.894144 : Epoch  3, Batch   2806, Loss  0.852381, Average Loss  0.867134, Time  0.356971
2021-09-09 03:10:52.777086 : Epoch  3, Batch   2807, Loss  0.859794, Average Loss  0.866894, Time  0.456245
2021-09-09 03:10:54.725710 : Epoch  3, Batch   2808, Loss  0.862473, Average Loss  0.866833, Time  0.480914
2021-09-09 03:10:56.606269 : Epoch  3, Batch   2809, Loss  0.840337, Average Loss  0.866859, Time  0.413978
2021-09-09 03:10:58.483844 : Epoch  3, Batch   2810, Loss  0.855015, Average Loss  0.866846, Time  0.399219
2021-09-09 03:11:00.370305 : Epoch  3, Batch   2811, Loss  0.842885, Average Loss  0.866819, Time  0.400100
2021-09-09 03:11:02.319148 : Epoch  3, Batch   2812, Loss  0.871886, Average Loss  0.866908, Time  0.479196
2021-09-09 03:11:04.289407 : Epoch  3, Batch   2813, Loss  0.862556, Average Loss  0.866950, Time  0.486922
2021-09-09 03:11:06.165717 : Epoch  3, Batch   2814, Loss  0.870325, Average Loss  0.866999, Time  0.418814
2021-09-09 03:11:07.994838 : Epoch  3, Batch   2815, Loss  0.840824, Average Loss  0.866839, Time  0.365002
2021-09-09 03:11:09.769005 : Epoch  3, Batch   2816, Loss  0.874137, Average Loss  0.866864, Time  0.360774
2021-09-09 03:11:11.712069 : Epoch  3, Batch   2817, Loss  0.878385, Average Loss  0.866904, Time  0.464246
2021-09-09 03:11:13.665777 : Epoch  3, Batch   2818, Loss  0.874516, Average Loss  0.866938, Time  0.489569
2021-09-09 03:11:15.632252 : Epoch  3, Batch   2819, Loss  0.884642, Average Loss  0.867065, Time  0.485379
2021-09-09 03:11:17.492994 : Epoch  3, Batch   2820, Loss  0.875789, Average Loss  0.867151, Time  0.397730
2021-09-09 03:11:19.379358 : Epoch  3, Batch   2821, Loss  0.899046, Average Loss  0.867334, Time  0.399600
2021-09-09 03:11:21.250165 : Epoch  3, Batch   2822, Loss  0.851696, Average Loss  0.867369, Time  0.398645
2021-09-09 03:11:23.214836 : Epoch  3, Batch   2823, Loss  0.879351, Average Loss  0.867356, Time  0.484558
2021-09-09 03:11:25.166805 : Epoch  3, Batch   2824, Loss  0.873233, Average Loss  0.867362, Time  0.479841
2021-09-09 03:11:27.064270 : Epoch  3, Batch   2825, Loss  0.848371, Average Loss  0.867373, Time  0.398567
2021-09-09 03:11:28.926382 : Epoch  3, Batch   2826, Loss  0.875736, Average Loss  0.867311, Time  0.399301
2021-09-09 03:11:30.798823 : Epoch  3, Batch   2827, Loss  0.865378, Average Loss  0.867256, Time  0.396420
2021-09-09 03:11:32.754783 : Epoch  3, Batch   2828, Loss  0.868688, Average Loss  0.867355, Time  0.487952
2021-09-09 03:11:34.718800 : Epoch  3, Batch   2829, Loss  0.855678, Average Loss  0.867378, Time  0.481416
2021-09-09 03:11:36.602782 : Epoch  3, Batch   2830, Loss  0.847477, Average Loss  0.867328, Time  0.398213
2021-09-09 03:11:38.479805 : Epoch  3, Batch   2831, Loss  0.883724, Average Loss  0.867326, Time  0.399461
2021-09-09 03:11:40.312792 : Epoch  3, Batch   2832, Loss  0.845884, Average Loss  0.867310, Time  0.359031
2021-09-09 03:11:42.233153 : Epoch  3, Batch   2833, Loss  0.872709, Average Loss  0.867299, Time  0.457598
2021-09-09 03:11:44.176006 : Epoch  3, Batch   2834, Loss  0.861382, Average Loss  0.867336, Time  0.476483
2021-09-09 03:11:46.077859 : Epoch  3, Batch   2835, Loss  0.868354, Average Loss  0.867209, Time  0.435529
2021-09-09 03:11:47.967848 : Epoch  3, Batch   2836, Loss  0.851226, Average Loss  0.867142, Time  0.414363
2021-09-09 03:11:49.798621 : Epoch  3, Batch   2837, Loss  0.865567, Average Loss  0.867179, Time  0.366101
2021-09-09 03:11:51.683011 : Epoch  3, Batch   2838, Loss  0.856291, Average Loss  0.867159, Time  0.450229
2021-09-09 03:11:53.555095 : Epoch  3, Batch   2839, Loss  0.873387, Average Loss  0.867103, Time  0.394756
2021-09-09 03:11:55.413783 : Epoch  3, Batch   2840, Loss  0.864017, Average Loss  0.867128, Time  0.397635
2021-09-09 03:11:57.366239 : Epoch  3, Batch   2841, Loss  0.893533, Average Loss  0.867214, Time  0.408102
2021-09-09 03:11:59.355779 : Epoch  3, Batch   2842, Loss  0.844257, Average Loss  0.867051, Time  0.473069
2021-09-09 03:12:01.270849 : Epoch  3, Batch   2843, Loss  0.880873, Average Loss  0.867040, Time  0.441224
2021-09-09 03:12:03.085945 : Epoch  3, Batch   2844, Loss  0.899334, Average Loss  0.867138, Time  0.364701
2021-09-09 03:12:04.905936 : Epoch  3, Batch   2845, Loss  0.879093, Average Loss  0.867350, Time  0.369765
2021-09-09 03:12:06.974733 : Epoch  3, Batch   2846, Loss  0.863252, Average Loss  0.867211, Time  0.403545
2021-09-09 03:12:08.944211 : Epoch  3, Batch   2847, Loss  0.866703, Average Loss  0.867222, Time  0.489286
2021-09-09 03:12:10.895781 : Epoch  3, Batch   2848, Loss  0.862596, Average Loss  0.867257, Time  0.490769
2021-09-09 03:12:12.853061 : Epoch  3, Batch   2849, Loss  0.881934, Average Loss  0.867352, Time  0.473611
2021-09-09 03:12:14.674579 : Epoch  3, Batch   2850, Loss  0.859993, Average Loss  0.867426, Time  0.361834
2021-09-09 03:12:16.541036 : Epoch  3, Batch   2851, Loss  0.871608, Average Loss  0.867420, Time  0.398573
2021-09-09 03:12:18.420535 : Epoch  3, Batch   2852, Loss  0.863699, Average Loss  0.867502, Time  0.407617
2021-09-09 03:12:20.397746 : Epoch  3, Batch   2853, Loss  0.888941, Average Loss  0.867673, Time  0.496198
2021-09-09 03:12:22.353271 : Epoch  3, Batch   2854, Loss  0.848541, Average Loss  0.867659, Time  0.458903
2021-09-09 03:12:24.198677 : Epoch  3, Batch   2855, Loss  0.845342, Average Loss  0.867558, Time  0.369313
2021-09-09 03:12:25.994521 : Epoch  3, Batch   2856, Loss  0.877571, Average Loss  0.867493, Time  0.363722
2021-09-09 03:12:27.803188 : Epoch  3, Batch   2857, Loss  0.882878, Average Loss  0.867764, Time  0.382061
2021-09-09 03:12:29.709919 : Epoch  3, Batch   2858, Loss  0.875692, Average Loss  0.867654, Time  0.456733
2021-09-09 03:12:31.588196 : Epoch  3, Batch   2859, Loss  0.863555, Average Loss  0.867597, Time  0.427151
2021-09-09 03:12:33.370146 : Epoch  3, Batch   2860, Loss  0.848461, Average Loss  0.867558, Time  0.358797
2021-09-09 03:12:35.294323 : Epoch  3, Batch   2861, Loss  0.848443, Average Loss  0.867296, Time  0.399167
2021-09-09 03:12:37.131777 : Epoch  3, Batch   2862, Loss  0.878758, Average Loss  0.867415, Time  0.376399
2021-09-09 03:12:39.085031 : Epoch  3, Batch   2863, Loss  0.894964, Average Loss  0.867707, Time  0.491924
2021-09-09 03:12:41.033797 : Epoch  3, Batch   2864, Loss  0.883959, Average Loss  0.867675, Time  0.482647
2021-09-09 03:12:42.911668 : Epoch  3, Batch   2865, Loss  0.862509, Average Loss  0.867775, Time  0.398930
2021-09-09 03:12:44.784378 : Epoch  3, Batch   2866, Loss  0.882271, Average Loss  0.867828, Time  0.401882
2021-09-09 03:12:46.670955 : Epoch  3, Batch   2867, Loss  0.905038, Average Loss  0.868127, Time  0.400375
2021-09-09 03:12:48.680058 : Epoch  3, Batch   2868, Loss  0.892958, Average Loss  0.868228, Time  0.492252
2021-09-09 03:12:50.657400 : Epoch  3, Batch   2869, Loss  0.889018, Average Loss  0.868267, Time  0.488027
2021-09-09 03:12:52.522411 : Epoch  3, Batch   2870, Loss  0.875965, Average Loss  0.868496, Time  0.396798
2021-09-09 03:12:54.406898 : Epoch  3, Batch   2871, Loss  0.862203, Average Loss  0.868333, Time  0.399716
2021-09-09 03:12:56.271864 : Epoch  3, Batch   2872, Loss  0.883457, Average Loss  0.868397, Time  0.401583
2021-09-09 03:12:58.187804 : Epoch  3, Batch   2873, Loss  0.857002, Average Loss  0.868406, Time  0.460968
2021-09-09 03:13:00.159790 : Epoch  3, Batch   2874, Loss  0.866807, Average Loss  0.868462, Time  0.486807
2021-09-09 03:13:02.159062 : Epoch  3, Batch   2875, Loss  0.845315, Average Loss  0.868159, Time  0.497636
2021-09-09 03:13:03.974289 : Epoch  3, Batch   2876, Loss  0.861544, Average Loss  0.868129, Time  0.365421
2021-09-09 03:13:05.757999 : Epoch  3, Batch   2877, Loss  0.843714, Average Loss  0.867948, Time  0.358819
2021-09-09 03:13:07.658851 : Epoch  3, Batch   2878, Loss  0.886384, Average Loss  0.868053, Time  0.432916
2021-09-09 03:18:04.531716 : CheckPoint: Validation Loss  0.00062245, Best Loss  0.00057084
2021-09-09 03:18:06.410084 : Epoch  3, Batch   2879, Loss  0.874300, Average Loss  0.868151, Time  0.399448
2021-09-09 03:18:08.323311 : Epoch  3, Batch   2880, Loss  0.859323, Average Loss  0.868134, Time  0.442792
2021-09-09 03:18:10.275142 : Epoch  3, Batch   2881, Loss  0.886071, Average Loss  0.868143, Time  0.504293
2021-09-09 03:18:12.262062 : Epoch  3, Batch   2882, Loss  0.855705, Average Loss  0.868059, Time  0.482899
2021-09-09 03:18:14.158777 : Epoch  3, Batch   2883, Loss  0.865897, Average Loss  0.868068, Time  0.409237
2021-09-09 03:18:15.982777 : Epoch  3, Batch   2884, Loss  0.871712, Average Loss  0.867887, Time  0.358552
2021-09-09 03:18:17.804848 : Epoch  3, Batch   2885, Loss  0.875268, Average Loss  0.867899, Time  0.370456
2021-09-09 03:18:19.771826 : Epoch  3, Batch   2886, Loss  0.841179, Average Loss  0.867857, Time  0.492588
2021-09-09 03:18:21.774850 : Epoch  3, Batch   2887, Loss  0.884503, Average Loss  0.867893, Time  0.502714
2021-09-09 03:18:23.668867 : Epoch  3, Batch   2888, Loss  0.883602, Average Loss  0.867849, Time  0.400403
2021-09-09 03:18:25.533998 : Epoch  3, Batch   2889, Loss  0.885259, Average Loss  0.867923, Time  0.399373
2021-09-09 03:18:27.416156 : Epoch  3, Batch   2890, Loss  0.871632, Average Loss  0.868003, Time  0.397974
2021-09-09 03:18:29.381779 : Epoch  3, Batch   2891, Loss  0.880978, Average Loss  0.868197, Time  0.487219
2021-09-09 03:18:31.331831 : Epoch  3, Batch   2892, Loss  0.869467, Average Loss  0.868236, Time  0.486220
2021-09-09 03:18:33.301044 : Epoch  3, Batch   2893, Loss  0.846233, Average Loss  0.868111, Time  0.486074
2021-09-09 03:18:35.176782 : Epoch  3, Batch   2894, Loss  0.878271, Average Loss  0.868135, Time  0.399725
2021-09-09 03:18:37.050977 : Epoch  3, Batch   2895, Loss  0.848250, Average Loss  0.868165, Time  0.401548
2021-09-09 03:18:38.937837 : Epoch  3, Batch   2896, Loss  0.869692, Average Loss  0.868173, Time  0.398649
2021-09-09 03:18:40.883810 : Epoch  3, Batch   2897, Loss  0.863283, Average Loss  0.868066, Time  0.484610
2021-09-09 03:18:42.866179 : Epoch  3, Batch   2898, Loss  0.882977, Average Loss  0.868084, Time  0.483378
2021-09-09 03:18:44.771404 : Epoch  3, Batch   2899, Loss  0.877820, Average Loss  0.868166, Time  0.402130
2021-09-09 03:18:46.666818 : Epoch  3, Batch   2900, Loss  0.882751, Average Loss  0.868208, Time  0.400063
2021-09-09 03:18:48.533783 : Epoch  3, Batch   2901, Loss  0.848362, Average Loss  0.868091, Time  0.398535
2021-09-09 03:18:50.496178 : Epoch  3, Batch   2902, Loss  0.907891, Average Loss  0.868167, Time  0.487952
2021-09-09 03:18:52.448226 : Epoch  3, Batch   2903, Loss  0.856262, Average Loss  0.868158, Time  0.481970
2021-09-09 03:18:54.352334 : Epoch  3, Batch   2904, Loss  0.857774, Average Loss  0.868065, Time  0.378273
2021-09-09 03:18:56.206212 : Epoch  3, Batch   2905, Loss  0.866575, Average Loss  0.867876, Time  0.400489
2021-09-09 03:18:58.060200 : Epoch  3, Batch   2906, Loss  0.897514, Average Loss  0.868067, Time  0.398529
2021-09-09 03:19:00.020848 : Epoch  3, Batch   2907, Loss  0.866677, Average Loss  0.867941, Time  0.490985
2021-09-09 03:19:01.971782 : Epoch  3, Batch   2908, Loss  0.859580, Average Loss  0.867915, Time  0.466902
2021-09-09 03:19:03.871163 : Epoch  3, Batch   2909, Loss  0.862965, Average Loss  0.868038, Time  0.427120
2021-09-09 03:19:05.775120 : Epoch  3, Batch   2910, Loss  0.881658, Average Loss  0.867901, Time  0.364876
2021-09-09 03:19:07.708781 : Epoch  3, Batch   2911, Loss  0.876863, Average Loss  0.867935, Time  0.399407
2021-09-09 03:19:09.601210 : Epoch  3, Batch   2912, Loss  0.862360, Average Loss  0.868004, Time  0.407206
2021-09-09 03:19:11.590165 : Epoch  3, Batch   2913, Loss  0.872876, Average Loss  0.867977, Time  0.491182
2021-09-09 03:19:13.553196 : Epoch  3, Batch   2914, Loss  0.880250, Average Loss  0.867955, Time  0.484165
2021-09-09 03:19:15.455600 : Epoch  3, Batch   2915, Loss  0.872889, Average Loss  0.868046, Time  0.434712
2021-09-09 03:19:17.329860 : Epoch  3, Batch   2916, Loss  0.858976, Average Loss  0.867917, Time  0.397838
2021-09-09 03:19:19.214938 : Epoch  3, Batch   2917, Loss  0.838142, Average Loss  0.867915, Time  0.397821
2021-09-09 03:19:21.111853 : Epoch  3, Batch   2918, Loss  0.900688, Average Loss  0.867981, Time  0.418610
2021-09-09 03:19:23.110779 : Epoch  3, Batch   2919, Loss  0.881553, Average Loss  0.867913, Time  0.489815
2021-09-09 03:19:25.088779 : Epoch  3, Batch   2920, Loss  0.874854, Average Loss  0.867694, Time  0.485034
2021-09-09 03:19:27.003824 : Epoch  3, Batch   2921, Loss  0.858466, Average Loss  0.867676, Time  0.433337
2021-09-09 03:19:28.892779 : Epoch  3, Batch   2922, Loss  0.880318, Average Loss  0.867716, Time  0.397648
2021-09-09 03:19:30.794777 : Epoch  3, Batch   2923, Loss  0.881334, Average Loss  0.867750, Time  0.405433
2021-09-09 03:19:32.689835 : Epoch  3, Batch   2924, Loss  0.885429, Average Loss  0.867870, Time  0.415228
2021-09-09 03:19:34.660806 : Epoch  3, Batch   2925, Loss  0.880123, Average Loss  0.867939, Time  0.487745
2021-09-09 03:19:36.609831 : Epoch  3, Batch   2926, Loss  0.876885, Average Loss  0.868044, Time  0.480965
2021-09-09 03:19:38.516785 : Epoch  3, Batch   2927, Loss  0.878492, Average Loss  0.868189, Time  0.402577
2021-09-09 03:19:40.388882 : Epoch  3, Batch   2928, Loss  0.884005, Average Loss  0.868271, Time  0.399479
2021-09-09 03:19:42.274853 : Epoch  3, Batch   2929, Loss  0.850084, Average Loss  0.868095, Time  0.401737
2021-09-09 03:19:44.251113 : Epoch  3, Batch   2930, Loss  0.871039, Average Loss  0.868163, Time  0.486395
2021-09-09 03:19:46.197899 : Epoch  3, Batch   2931, Loss  0.860882, Average Loss  0.868233, Time  0.480751
2021-09-09 03:19:48.051729 : Epoch  3, Batch   2932, Loss  0.888994, Average Loss  0.868269, Time  0.380986
2021-09-09 03:19:49.926605 : Epoch  3, Batch   2933, Loss  0.859088, Average Loss  0.868276, Time  0.398535
2021-09-09 03:19:51.806831 : Epoch  3, Batch   2934, Loss  0.862551, Average Loss  0.868188, Time  0.400840
2021-09-09 03:19:53.755158 : Epoch  3, Batch   2935, Loss  0.829896, Average Loss  0.868136, Time  0.481229
2021-09-09 03:19:55.734384 : Epoch  3, Batch   2936, Loss  0.905175, Average Loss  0.868312, Time  0.491943
2021-09-09 03:19:57.707139 : Epoch  3, Batch   2937, Loss  0.850397, Average Loss  0.868306, Time  0.484866
2021-09-09 03:19:59.585258 : Epoch  3, Batch   2938, Loss  0.838748, Average Loss  0.868326, Time  0.398144
2021-09-09 03:20:01.466485 : Epoch  3, Batch   2939, Loss  0.849329, Average Loss  0.868303, Time  0.401591
2021-09-09 03:20:03.351825 : Epoch  3, Batch   2940, Loss  0.865981, Average Loss  0.868284, Time  0.398303
2021-09-09 03:20:05.336372 : Epoch  3, Batch   2941, Loss  0.864423, Average Loss  0.868188, Time  0.507003
2021-09-09 03:20:07.322799 : Epoch  3, Batch   2942, Loss  0.887618, Average Loss  0.868413, Time  0.487309
2021-09-09 03:20:09.153153 : Epoch  3, Batch   2943, Loss  0.855830, Average Loss  0.868402, Time  0.362736
2021-09-09 03:20:11.003882 : Epoch  3, Batch   2944, Loss  0.853696, Average Loss  0.868337, Time  0.359424
2021-09-09 03:20:12.799949 : Epoch  3, Batch   2945, Loss  0.858604, Average Loss  0.868443, Time  0.370101
2021-09-09 03:20:14.730083 : Epoch  3, Batch   2946, Loss  0.901401, Average Loss  0.868456, Time  0.481165
2021-09-09 03:20:16.745997 : Epoch  3, Batch   2947, Loss  0.876229, Average Loss  0.868509, Time  0.531770
2021-09-09 03:20:18.623791 : Epoch  3, Batch   2948, Loss  0.860079, Average Loss  0.868408, Time  0.402799
2021-09-09 03:20:20.495436 : Epoch  3, Batch   2949, Loss  0.851455, Average Loss  0.868353, Time  0.400542
2021-09-09 03:20:22.272541 : Epoch  3, Batch   2950, Loss  0.899414, Average Loss  0.868379, Time  0.357583
2021-09-09 03:20:24.241011 : Epoch  3, Batch   2951, Loss  0.871890, Average Loss  0.868438, Time  0.469480
2021-09-09 03:20:26.301073 : Epoch  3, Batch   2952, Loss  0.868099, Average Loss  0.868420, Time  0.501643
2021-09-09 03:20:28.256177 : Epoch  3, Batch   2953, Loss  0.929554, Average Loss  0.868804, Time  0.467005
2021-09-09 03:20:30.071402 : Epoch  3, Batch   2954, Loss  0.865865, Average Loss  0.868812, Time  0.365667
2021-09-09 03:20:32.071446 : Epoch  3, Batch   2955, Loss  0.852832, Average Loss  0.868742, Time  0.415411
2021-09-09 03:20:33.989229 : Epoch  3, Batch   2956, Loss  0.864865, Average Loss  0.868763, Time  0.419454
2021-09-09 03:20:35.952809 : Epoch  3, Batch   2957, Loss  0.898952, Average Loss  0.869002, Time  0.500328
2021-09-09 03:20:37.894120 : Epoch  3, Batch   2958, Loss  0.850687, Average Loss  0.868871, Time  0.474853
2021-09-09 03:20:39.756797 : Epoch  3, Batch   2959, Loss  0.854596, Average Loss  0.868900, Time  0.398157
2021-09-09 03:20:41.611740 : Epoch  3, Batch   2960, Loss  0.892109, Average Loss  0.868962, Time  0.384382
2021-09-09 03:20:43.453827 : Epoch  3, Batch   2961, Loss  0.828888, Average Loss  0.868716, Time  0.385520
2021-09-09 03:20:45.406893 : Epoch  3, Batch   2962, Loss  0.873159, Average Loss  0.868797, Time  0.484446
2021-09-09 03:20:47.364207 : Epoch  3, Batch   2963, Loss  0.861716, Average Loss  0.868751, Time  0.480731
2021-09-09 03:20:49.245800 : Epoch  3, Batch   2964, Loss  0.867328, Average Loss  0.868608, Time  0.401171
2021-09-09 03:20:51.060139 : Epoch  3, Batch   2965, Loss  0.852621, Average Loss  0.868713, Time  0.363412
2021-09-09 03:20:52.877798 : Epoch  3, Batch   2966, Loss  0.846299, Average Loss  0.868477, Time  0.378202
2021-09-09 03:20:54.803230 : Epoch  3, Batch   2967, Loss  0.868197, Average Loss  0.868517, Time  0.458983
2021-09-09 03:20:56.660019 : Epoch  3, Batch   2968, Loss  0.868524, Average Loss  0.868554, Time  0.423577
2021-09-09 03:20:58.591616 : Epoch  3, Batch   2969, Loss  0.896616, Average Loss  0.868687, Time  0.400526
2021-09-09 03:21:00.465997 : Epoch  3, Batch   2970, Loss  0.904443, Average Loss  0.868749, Time  0.402180
2021-09-09 03:21:02.353086 : Epoch  3, Batch   2971, Loss  0.880872, Average Loss  0.868843, Time  0.399989
2021-09-09 03:21:04.366240 : Epoch  3, Batch   2972, Loss  0.901562, Average Loss  0.869101, Time  0.530750
2021-09-09 03:21:06.346212 : Epoch  3, Batch   2973, Loss  0.877478, Average Loss  0.869063, Time  0.494554
2021-09-09 03:21:08.328250 : Epoch  3, Batch   2974, Loss  0.875525, Average Loss  0.869187, Time  0.493209
2021-09-09 03:21:10.203197 : Epoch  3, Batch   2975, Loss  0.856359, Average Loss  0.869098, Time  0.399163
2021-09-09 03:21:12.090781 : Epoch  3, Batch   2976, Loss  0.883959, Average Loss  0.869002, Time  0.417776
2021-09-09 03:21:13.975800 : Epoch  3, Batch   2977, Loss  0.874016, Average Loss  0.869053, Time  0.418101
2021-09-09 03:21:15.941653 : Epoch  3, Batch   2978, Loss  0.847579, Average Loss  0.869039, Time  0.492680
2021-09-09 03:26:10.991729 : CheckPoint: Validation Loss  0.00060088, Best Loss  0.00057084
2021-09-09 03:26:12.795798 : Epoch  3, Batch   2979, Loss  0.870886, Average Loss  0.869166, Time  0.357093
2021-09-09 03:26:14.573776 : Epoch  3, Batch   2980, Loss  0.845131, Average Loss  0.869096, Time  0.361201
2021-09-09 03:26:16.445024 : Epoch  3, Batch   2981, Loss  0.878429, Average Loss  0.869022, Time  0.407547
2021-09-09 03:26:18.511844 : Epoch  3, Batch   2982, Loss  0.900192, Average Loss  0.869245, Time  0.502199
2021-09-09 03:26:20.496381 : Epoch  3, Batch   2983, Loss  0.881835, Average Loss  0.869417, Time  0.502866
2021-09-09 03:26:22.534377 : Epoch  3, Batch   2984, Loss  0.877083, Average Loss  0.869442, Time  0.507833
2021-09-09 03:26:24.581025 : Epoch  3, Batch   2985, Loss  0.879982, Average Loss  0.869428, Time  0.476543
2021-09-09 03:26:26.488424 : Epoch  3, Batch   2986, Loss  0.886640, Average Loss  0.869603, Time  0.427795
2021-09-09 03:26:28.415794 : Epoch  3, Batch   2987, Loss  0.864368, Average Loss  0.869526, Time  0.410909
2021-09-09 03:26:30.290075 : Epoch  3, Batch   2988, Loss  0.871895, Average Loss  0.869604, Time  0.399420
2021-09-09 03:26:32.273840 : Epoch  3, Batch   2989, Loss  0.860022, Average Loss  0.869706, Time  0.494051
2021-09-09 03:26:34.248783 : Epoch  3, Batch   2990, Loss  0.869144, Average Loss  0.869625, Time  0.484676
2021-09-09 03:26:36.192781 : Epoch  3, Batch   2991, Loss  0.866208, Average Loss  0.869733, Time  0.451244
2021-09-09 03:26:38.027591 : Epoch  3, Batch   2992, Loss  0.861639, Average Loss  0.869692, Time  0.362020
2021-09-09 03:26:39.902894 : Epoch  3, Batch   2993, Loss  0.896865, Average Loss  0.869766, Time  0.370263
2021-09-09 03:26:41.765827 : Epoch  3, Batch   2994, Loss  0.835821, Average Loss  0.869603, Time  0.412678
2021-09-09 03:26:43.661846 : Epoch  3, Batch   2995, Loss  0.913278, Average Loss  0.869907, Time  0.452433
2021-09-09 03:26:45.447774 : Epoch  3, Batch   2996, Loss  0.895681, Average Loss  0.869947, Time  0.357988
2021-09-09 03:26:47.244237 : Epoch  3, Batch   2997, Loss  0.891762, Average Loss  0.870063, Time  0.358191
2021-09-09 03:26:49.046777 : Epoch  3, Batch   2998, Loss  0.860139, Average Loss  0.870122, Time  0.369384
2021-09-09 03:26:50.929790 : Epoch  3, Batch   2999, Loss  0.820067, Average Loss  0.869895, Time  0.450564
2021-09-09 03:26:52.715920 : Epoch  3, Batch   3000, Loss  0.863219, Average Loss  0.869890, Time  0.345877
2021-09-09 03:26:54.514088 : Epoch  3, Batch   3001, Loss  0.895057, Average Loss  0.870185, Time  0.355527
2021-09-09 03:26:56.559335 : Epoch  3, Batch   3002, Loss  0.895817, Average Loss  0.870344, Time  0.396888
2021-09-09 03:26:58.517141 : Epoch  3, Batch   3003, Loss  0.876562, Average Loss  0.870279, Time  0.481911
2021-09-09 03:27:00.458155 : Epoch  3, Batch   3004, Loss  0.892350, Average Loss  0.870298, Time  0.459783
2021-09-09 03:27:02.247384 : Epoch  3, Batch   3005, Loss  0.854956, Average Loss  0.870179, Time  0.354724
2021-09-09 03:27:04.079154 : Epoch  3, Batch   3006, Loss  0.825421, Average Loss  0.870044, Time  0.373698
2021-09-09 03:27:05.872015 : Epoch  3, Batch   3007, Loss  0.870643, Average Loss  0.870098, Time  0.366163
2021-09-09 03:27:07.762778 : Epoch  3, Batch   3008, Loss  0.871240, Average Loss  0.870142, Time  0.450569
2021-09-09 03:27:09.555145 : Epoch  3, Batch   3009, Loss  0.872083, Average Loss  0.870301, Time  0.353244
2021-09-09 03:27:11.369999 : Epoch  3, Batch   3010, Loss  0.861757, Average Loss  0.870335, Time  0.356667
2021-09-09 03:27:13.262922 : Epoch  3, Batch   3011, Loss  0.890612, Average Loss  0.870573, Time  0.401122
2021-09-09 03:27:15.244776 : Epoch  3, Batch   3012, Loss  0.876182, Average Loss  0.870595, Time  0.478606
2021-09-09 03:27:17.218020 : Epoch  3, Batch   3013, Loss  0.881638, Average Loss  0.870690, Time  0.493517
2021-09-09 03:27:19.291815 : Epoch  3, Batch   3014, Loss  0.854530, Average Loss  0.870611, Time  0.487178
2021-09-09 03:27:21.254019 : Epoch  3, Batch   3015, Loss  0.879142, Average Loss  0.870803, Time  0.476308
2021-09-09 03:27:23.130790 : Epoch  3, Batch   3016, Loss  0.869343, Average Loss  0.870779, Time  0.396958
2021-09-09 03:27:25.019950 : Epoch  3, Batch   3017, Loss  0.867292, Average Loss  0.870723, Time  0.398881
2021-09-09 03:27:26.904175 : Epoch  3, Batch   3018, Loss  0.867273, Average Loss  0.870687, Time  0.400891
2021-09-09 03:27:28.825038 : Epoch  3, Batch   3019, Loss  0.864068, Average Loss  0.870584, Time  0.454678
2021-09-09 03:27:30.684351 : Epoch  3, Batch   3020, Loss  0.881203, Average Loss  0.870611, Time  0.423666
2021-09-09 03:27:32.498826 : Epoch  3, Batch   3021, Loss  0.858091, Average Loss  0.870406, Time  0.359077
2021-09-09 03:27:34.309659 : Epoch  3, Batch   3022, Loss  0.895599, Average Loss  0.870626, Time  0.369752
2021-09-09 03:27:36.223551 : Epoch  3, Batch   3023, Loss  0.875869, Average Loss  0.870609, Time  0.409421
2021-09-09 03:27:38.132328 : Epoch  3, Batch   3024, Loss  0.836887, Average Loss  0.870427, Time  0.453358
2021-09-09 03:27:39.994841 : Epoch  3, Batch   3025, Loss  0.870702, Average Loss  0.870538, Time  0.417864
2021-09-09 03:27:41.784248 : Epoch  3, Batch   3026, Loss  0.905658, Average Loss  0.870688, Time  0.359251
2021-09-09 03:27:43.580140 : Epoch  3, Batch   3027, Loss  0.884359, Average Loss  0.870783, Time  0.366007
2021-09-09 03:27:45.466796 : Epoch  3, Batch   3028, Loss  0.860153, Average Loss  0.870740, Time  0.425168
2021-09-09 03:27:47.389218 : Epoch  3, Batch   3029, Loss  0.869958, Average Loss  0.870812, Time  0.481254
2021-09-09 03:27:49.369778 : Epoch  3, Batch   3030, Loss  0.835050, Average Loss  0.870750, Time  0.459326
2021-09-09 03:27:51.194771 : Epoch  3, Batch   3031, Loss  0.848471, Average Loss  0.870573, Time  0.369671
2021-09-09 03:27:53.001843 : Epoch  3, Batch   3032, Loss  0.894241, Average Loss  0.870815, Time  0.361259
2021-09-09 03:27:54.830312 : Epoch  3, Batch   3033, Loss  0.849101, Average Loss  0.870697, Time  0.385907
2021-09-09 03:27:56.771778 : Epoch  3, Batch   3034, Loss  0.886244, Average Loss  0.870821, Time  0.459455
2021-09-09 03:27:58.574141 : Epoch  3, Batch   3035, Loss  0.901626, Average Loss  0.870988, Time  0.377767
2021-09-09 03:28:00.417601 : Epoch  3, Batch   3036, Loss  0.880382, Average Loss  0.871134, Time  0.359468
2021-09-09 03:28:02.262476 : Epoch  3, Batch   3037, Loss  0.875987, Average Loss  0.871186, Time  0.361523
2021-09-09 03:28:04.171888 : Epoch  3, Batch   3038, Loss  0.858420, Average Loss  0.871196, Time  0.432870
2021-09-09 03:28:06.137159 : Epoch  3, Batch   3039, Loss  0.883697, Average Loss  0.871248, Time  0.479927
2021-09-09 03:28:08.082789 : Epoch  3, Batch   3040, Loss  0.873969, Average Loss  0.871298, Time  0.485164
2021-09-09 03:28:09.924785 : Epoch  3, Batch   3041, Loss  0.851498, Average Loss  0.871087, Time  0.375673
2021-09-09 03:28:11.765186 : Epoch  3, Batch   3042, Loss  0.881951, Average Loss  0.871276, Time  0.359810
2021-09-09 03:28:13.562784 : Epoch  3, Batch   3043, Loss  0.874040, Average Loss  0.871242, Time  0.368296
2021-09-09 03:28:15.451809 : Epoch  3, Batch   3044, Loss  0.867698, Average Loss  0.871084, Time  0.451141
2021-09-09 03:28:17.257015 : Epoch  3, Batch   3045, Loss  0.891933, Average Loss  0.871148, Time  0.367714
2021-09-09 03:28:19.084955 : Epoch  3, Batch   3046, Loss  0.846842, Average Loss  0.871066, Time  0.359859
2021-09-09 03:28:20.902715 : Epoch  3, Batch   3047, Loss  0.866703, Average Loss  0.871066, Time  0.357899
2021-09-09 03:28:22.819060 : Epoch  3, Batch   3048, Loss  0.911026, Average Loss  0.871308, Time  0.434666
2021-09-09 03:28:24.735825 : Epoch  3, Batch   3049, Loss  0.862294, Average Loss  0.871210, Time  0.453175
2021-09-09 03:28:26.629791 : Epoch  3, Batch   3050, Loss  0.860996, Average Loss  0.871215, Time  0.428915
2021-09-09 03:28:28.422139 : Epoch  3, Batch   3051, Loss  0.875655, Average Loss  0.871235, Time  0.357694
2021-09-09 03:28:30.281807 : Epoch  3, Batch   3052, Loss  0.871458, Average Loss  0.871274, Time  0.380229
2021-09-09 03:28:32.113101 : Epoch  3, Batch   3053, Loss  0.861244, Average Loss  0.871135, Time  0.395647
2021-09-09 03:28:34.020006 : Epoch  3, Batch   3054, Loss  0.877278, Average Loss  0.871279, Time  0.452996
2021-09-09 03:28:35.922228 : Epoch  3, Batch   3055, Loss  0.887596, Average Loss  0.871490, Time  0.448980
2021-09-09 03:28:37.749147 : Epoch  3, Batch   3056, Loss  0.866285, Average Loss  0.871434, Time  0.368318
2021-09-09 03:28:39.543148 : Epoch  3, Batch   3057, Loss  0.872971, Average Loss  0.871384, Time  0.356405
2021-09-09 03:28:41.449994 : Epoch  3, Batch   3058, Loss  0.845073, Average Loss  0.871231, Time  0.394291
2021-09-09 03:28:43.461143 : Epoch  3, Batch   3059, Loss  0.831154, Average Loss  0.871069, Time  0.476847
2021-09-09 03:28:45.337299 : Epoch  3, Batch   3060, Loss  0.858534, Average Loss  0.871119, Time  0.425097
2021-09-09 03:28:47.140282 : Epoch  3, Batch   3061, Loss  0.882376, Average Loss  0.871289, Time  0.366061
2021-09-09 03:28:48.940237 : Epoch  3, Batch   3062, Loss  0.871919, Average Loss  0.871255, Time  0.370751
2021-09-09 03:28:50.828167 : Epoch  3, Batch   3063, Loss  0.837484, Average Loss  0.870968, Time  0.448250
2021-09-09 03:28:52.720413 : Epoch  3, Batch   3064, Loss  0.875981, Average Loss  0.870928, Time  0.464695
2021-09-09 03:28:54.539106 : Epoch  3, Batch   3065, Loss  0.896829, Average Loss  0.871099, Time  0.359030
2021-09-09 03:28:56.380005 : Epoch  3, Batch   3066, Loss  0.917308, Average Loss  0.871274, Time  0.359289
2021-09-09 03:28:58.191233 : Epoch  3, Batch   3067, Loss  0.887780, Average Loss  0.871188, Time  0.367199
2021-09-09 03:29:00.144431 : Epoch  3, Batch   3068, Loss  0.880698, Average Loss  0.871127, Time  0.456176
2021-09-09 03:29:02.088772 : Epoch  3, Batch   3069, Loss  0.869342, Average Loss  0.871028, Time  0.455984
2021-09-09 03:29:03.875709 : Epoch  3, Batch   3070, Loss  0.895617, Average Loss  0.871127, Time  0.360361
2021-09-09 03:29:05.710843 : Epoch  3, Batch   3071, Loss  0.865002, Average Loss  0.871141, Time  0.367967
2021-09-09 03:29:07.555223 : Epoch  3, Batch   3072, Loss  0.864444, Average Loss  0.871046, Time  0.412504
2021-09-09 03:29:09.561774 : Epoch  3, Batch   3073, Loss  0.888263, Average Loss  0.871202, Time  0.455571
2021-09-09 03:29:11.532937 : Epoch  3, Batch   3074, Loss  0.876350, Average Loss  0.871250, Time  0.459527
2021-09-09 03:29:13.314833 : Epoch  3, Batch   3075, Loss  0.886767, Average Loss  0.871457, Time  0.352998
2021-09-09 03:29:15.109728 : Epoch  3, Batch   3076, Loss  0.833785, Average Loss  0.871318, Time  0.363955
2021-09-09 03:29:16.967776 : Epoch  3, Batch   3077, Loss  0.857243, Average Loss  0.871386, Time  0.378371
2021-09-09 03:29:18.926636 : Epoch  3, Batch   3078, Loss  0.846459, Average Loss  0.871186, Time  0.456885
2021-09-09 03:34:12.405729 : CheckPoint: Validation Loss  0.00063870, Best Loss  0.00057084
2021-09-09 03:34:14.299827 : Epoch  3, Batch   3079, Loss  0.889158, Average Loss  0.871260, Time  0.447402
2021-09-09 03:34:16.186387 : Epoch  3, Batch   3080, Loss  0.869627, Average Loss  0.871312, Time  0.382191
2021-09-09 03:34:17.980134 : Epoch  3, Batch   3081, Loss  0.868500, Average Loss  0.871224, Time  0.360674
2021-09-09 03:34:19.817776 : Epoch  3, Batch   3082, Loss  0.830229, Average Loss  0.871097, Time  0.370173
2021-09-09 03:34:21.723919 : Epoch  3, Batch   3083, Loss  0.851854, Average Loss  0.871027, Time  0.457902
2021-09-09 03:34:23.588551 : Epoch  3, Batch   3084, Loss  0.865893, Average Loss  0.870997, Time  0.433274
2021-09-09 03:34:25.467779 : Epoch  3, Batch   3085, Loss  0.887244, Average Loss  0.871057, Time  0.372491
2021-09-09 03:34:27.252324 : Epoch  3, Batch   3086, Loss  0.871436, Average Loss  0.871209, Time  0.366375
2021-09-09 03:34:29.071212 : Epoch  3, Batch   3087, Loss  0.878181, Average Loss  0.871177, Time  0.383911
2021-09-09 03:34:30.969636 : Epoch  3, Batch   3088, Loss  0.860755, Average Loss  0.871063, Time  0.457719
2021-09-09 03:34:32.853138 : Epoch  3, Batch   3089, Loss  0.897008, Average Loss  0.871121, Time  0.438815
2021-09-09 03:34:34.707910 : Epoch  3, Batch   3090, Loss  0.887832, Average Loss  0.871202, Time  0.370926
2021-09-09 03:34:36.504143 : Epoch  3, Batch   3091, Loss  0.856264, Average Loss  0.871079, Time  0.357386
2021-09-09 03:34:38.344780 : Epoch  3, Batch   3092, Loss  0.889819, Average Loss  0.871181, Time  0.404318
2021-09-09 03:34:40.243028 : Epoch  3, Batch   3093, Loss  0.861447, Average Loss  0.871257, Time  0.452937
2021-09-09 03:34:42.058749 : Epoch  3, Batch   3094, Loss  0.875655, Average Loss  0.871244, Time  0.384901
2021-09-09 03:34:43.867008 : Epoch  3, Batch   3095, Loss  0.867821, Average Loss  0.871342, Time  0.362296
2021-09-09 03:34:45.674794 : Epoch  3, Batch   3096, Loss  0.824571, Average Loss  0.871116, Time  0.358657
2021-09-09 03:34:47.582894 : Epoch  3, Batch   3097, Loss  0.864253, Average Loss  0.871121, Time  0.448776
2021-09-09 03:34:49.538794 : Epoch  3, Batch   3098, Loss  0.859518, Average Loss  0.871003, Time  0.456182
2021-09-09 03:34:51.380817 : Epoch  3, Batch   3099, Loss  0.862486, Average Loss  0.870927, Time  0.409725
2021-09-09 03:34:53.178250 : Epoch  3, Batch   3100, Loss  0.873125, Average Loss  0.870879, Time  0.354854
2021-09-09 03:34:54.966704 : Epoch  3, Batch   3101, Loss  0.876599, Average Loss  0.871020, Time  0.359903
2021-09-09 03:34:56.825637 : Epoch  3, Batch   3102, Loss  0.844727, Average Loss  0.870704, Time  0.439030
2021-09-09 03:34:58.833781 : Epoch  3, Batch   3103, Loss  0.877152, Average Loss  0.870808, Time  0.512369
2021-09-09 03:35:00.858076 : Epoch  3, Batch   3104, Loss  0.869072, Average Loss  0.870865, Time  0.485231
2021-09-09 03:35:02.682108 : Epoch  3, Batch   3105, Loss  0.855539, Average Loss  0.870810, Time  0.355482
2021-09-09 03:35:04.491773 : Epoch  3, Batch   3106, Loss  0.877797, Average Loss  0.870711, Time  0.364095
2021-09-09 03:35:06.362862 : Epoch  3, Batch   3107, Loss  0.890962, Average Loss  0.870833, Time  0.371376
2021-09-09 03:35:08.334978 : Epoch  3, Batch   3108, Loss  0.879715, Average Loss  0.870933, Time  0.498335
2021-09-09 03:35:10.287117 : Epoch  3, Batch   3109, Loss  0.886686, Average Loss  0.871052, Time  0.484592
2021-09-09 03:35:12.288791 : Epoch  3, Batch   3110, Loss  0.886816, Average Loss  0.871078, Time  0.460649
2021-09-09 03:35:14.169321 : Epoch  3, Batch   3111, Loss  0.881068, Average Loss  0.871099, Time  0.400990
2021-09-09 03:35:16.017804 : Epoch  3, Batch   3112, Loss  0.863045, Average Loss  0.871102, Time  0.388001
2021-09-09 03:35:17.913259 : Epoch  3, Batch   3113, Loss  0.863976, Average Loss  0.871058, Time  0.407965
2021-09-09 03:35:19.875332 : Epoch  3, Batch   3114, Loss  0.877946, Average Loss  0.871046, Time  0.485952
2021-09-09 03:35:21.844781 : Epoch  3, Batch   3115, Loss  0.863766, Average Loss  0.871001, Time  0.480781
2021-09-09 03:35:23.720038 : Epoch  3, Batch   3116, Loss  0.845863, Average Loss  0.870935, Time  0.395393
2021-09-09 03:35:25.596828 : Epoch  3, Batch   3117, Loss  0.857202, Average Loss  0.871030, Time  0.395299
2021-09-09 03:35:27.474763 : Epoch  3, Batch   3118, Loss  0.850314, Average Loss  0.870778, Time  0.408909
2021-09-09 03:35:29.420780 : Epoch  3, Batch   3119, Loss  0.871286, Average Loss  0.870727, Time  0.482541
2021-09-09 03:35:31.398295 : Epoch  3, Batch   3120, Loss  0.842898, Average Loss  0.870567, Time  0.479399
2021-09-09 03:35:33.293220 : Epoch  3, Batch   3121, Loss  0.841531, Average Loss  0.870483, Time  0.396253
2021-09-09 03:35:35.125748 : Epoch  3, Batch   3122, Loss  0.876420, Average Loss  0.870463, Time  0.377269
2021-09-09 03:35:36.926271 : Epoch  3, Batch   3123, Loss  0.892834, Average Loss  0.870521, Time  0.361854
2021-09-09 03:35:38.805803 : Epoch  3, Batch   3124, Loss  0.853854, Average Loss  0.870363, Time  0.451885
2021-09-09 03:35:40.589052 : Epoch  3, Batch   3125, Loss  0.881318, Average Loss  0.870369, Time  0.356338
2021-09-09 03:35:42.534150 : Epoch  3, Batch   3126, Loss  0.873531, Average Loss  0.870352, Time  0.435098
2021-09-09 03:35:44.496884 : Epoch  3, Batch   3127, Loss  0.856769, Average Loss  0.870243, Time  0.420303
2021-09-09 03:35:46.553941 : Epoch  3, Batch   3128, Loss  0.866226, Average Loss  0.870154, Time  0.538220
2021-09-09 03:35:48.587779 : Epoch  3, Batch   3129, Loss  0.867877, Average Loss  0.870243, Time  0.528859
2021-09-09 03:35:50.612548 : Epoch  3, Batch   3130, Loss  0.861585, Average Loss  0.870196, Time  0.484912
2021-09-09 03:35:52.616820 : Epoch  3, Batch   3131, Loss  0.885615, Average Loss  0.870320, Time  0.481753
2021-09-09 03:35:54.577699 : Epoch  3, Batch   3132, Loss  0.863489, Average Loss  0.870192, Time  0.421452
2021-09-09 03:35:56.408719 : Epoch  3, Batch   3133, Loss  0.891110, Average Loss  0.870352, Time  0.367391
2021-09-09 03:35:58.302782 : Epoch  3, Batch   3134, Loss  0.867495, Average Loss  0.870377, Time  0.413618
2021-09-09 03:36:00.288921 : Epoch  3, Batch   3135, Loss  0.879928, Average Loss  0.870627, Time  0.518621
2021-09-09 03:36:02.272800 : Epoch  3, Batch   3136, Loss  0.874112, Average Loss  0.870472, Time  0.490161
2021-09-09 03:36:04.240166 : Epoch  3, Batch   3137, Loss  0.860307, Average Loss  0.870521, Time  0.478974
2021-09-09 03:36:06.153850 : Epoch  3, Batch   3138, Loss  0.888775, Average Loss  0.870772, Time  0.404412
2021-09-09 03:36:08.045002 : Epoch  3, Batch   3139, Loss  0.852038, Average Loss  0.870785, Time  0.399692
2021-09-09 03:36:09.905115 : Epoch  3, Batch   3140, Loss  0.871584, Average Loss  0.870813, Time  0.397342
2021-09-09 03:36:11.872679 : Epoch  3, Batch   3141, Loss  0.849734, Average Loss  0.870740, Time  0.488644
2021-09-09 03:36:13.825843 : Epoch  3, Batch   3142, Loss  0.889252, Average Loss  0.870748, Time  0.481059
2021-09-09 03:36:15.718309 : Epoch  3, Batch   3143, Loss  0.865747, Average Loss  0.870798, Time  0.397301
2021-09-09 03:36:17.587783 : Epoch  3, Batch   3144, Loss  0.888699, Average Loss  0.870973, Time  0.397938
2021-09-09 03:36:19.475112 : Epoch  3, Batch   3145, Loss  0.883684, Average Loss  0.871098, Time  0.400950
2021-09-09 03:36:21.455814 : Epoch  3, Batch   3146, Loss  0.861588, Average Loss  0.870899, Time  0.485840
2021-09-09 03:36:23.401131 : Epoch  3, Batch   3147, Loss  0.862480, Average Loss  0.870830, Time  0.469739
2021-09-09 03:36:25.218981 : Epoch  3, Batch   3148, Loss  0.852776, Average Loss  0.870794, Time  0.363370
2021-09-09 03:36:27.090363 : Epoch  3, Batch   3149, Loss  0.856844, Average Loss  0.870821, Time  0.362502
2021-09-09 03:36:28.930771 : Epoch  3, Batch   3150, Loss  0.856927, Average Loss  0.870608, Time  0.406855
2021-09-09 03:36:30.815891 : Epoch  3, Batch   3151, Loss  0.873076, Average Loss  0.870614, Time  0.453491
2021-09-09 03:36:32.618778 : Epoch  3, Batch   3152, Loss  0.850668, Average Loss  0.870527, Time  0.358543
2021-09-09 03:36:34.434344 : Epoch  3, Batch   3153, Loss  0.842611, Average Loss  0.870092, Time  0.368322
2021-09-09 03:36:36.287287 : Epoch  3, Batch   3154, Loss  0.860805, Average Loss  0.870067, Time  0.372211
2021-09-09 03:36:38.222827 : Epoch  3, Batch   3155, Loss  0.887994, Average Loss  0.870243, Time  0.469952
2021-09-09 03:36:40.180257 : Epoch  3, Batch   3156, Loss  0.892722, Average Loss  0.870382, Time  0.479563
2021-09-09 03:36:42.071778 : Epoch  3, Batch   3157, Loss  0.881211, Average Loss  0.870293, Time  0.398090
2021-09-09 03:36:43.938040 : Epoch  3, Batch   3158, Loss  0.874035, Average Loss  0.870410, Time  0.402270
2021-09-09 03:36:45.836784 : Epoch  3, Batch   3159, Loss  0.873434, Average Loss  0.870504, Time  0.400777
2021-09-09 03:36:47.797172 : Epoch  3, Batch   3160, Loss  0.896999, Average Loss  0.870529, Time  0.485767
2021-09-09 03:36:49.752206 : Epoch  3, Batch   3161, Loss  0.870293, Average Loss  0.870736, Time  0.481470
2021-09-09 03:36:51.648821 : Epoch  3, Batch   3162, Loss  0.883714, Average Loss  0.870788, Time  0.402689
2021-09-09 03:36:53.558598 : Epoch  3, Batch   3163, Loss  0.877328, Average Loss  0.870867, Time  0.397632
2021-09-09 03:36:55.462824 : Epoch  3, Batch   3164, Loss  0.856601, Average Loss  0.870813, Time  0.400797
2021-09-09 03:36:57.356879 : Epoch  3, Batch   3165, Loss  0.855351, Average Loss  0.870827, Time  0.449618
2021-09-09 03:36:59.251890 : Epoch  3, Batch   3166, Loss  0.848244, Average Loss  0.870836, Time  0.459074
2021-09-09 03:37:01.039930 : Epoch  3, Batch   3167, Loss  0.857820, Average Loss  0.870784, Time  0.357163
2021-09-09 03:37:02.944868 : Epoch  3, Batch   3168, Loss  0.854015, Average Loss  0.870712, Time  0.408700
2021-09-09 03:37:04.819950 : Epoch  3, Batch   3169, Loss  0.851934, Average Loss  0.870488, Time  0.408692
2021-09-09 03:37:06.764828 : Epoch  3, Batch   3170, Loss  0.849420, Average Loss  0.870213, Time  0.472481
2021-09-09 03:37:08.719117 : Epoch  3, Batch   3171, Loss  0.873992, Average Loss  0.870179, Time  0.484321
2021-09-09 03:37:10.580777 : Epoch  3, Batch   3172, Loss  0.895303, Average Loss  0.870148, Time  0.398300
2021-09-09 03:37:12.452714 : Epoch  3, Batch   3173, Loss  0.862576, Average Loss  0.870073, Time  0.398498
2021-09-09 03:37:14.344135 : Epoch  3, Batch   3174, Loss  0.873467, Average Loss  0.870063, Time  0.396698
2021-09-09 03:37:16.349189 : Epoch  3, Batch   3175, Loss  0.864420, Average Loss  0.870103, Time  0.492886
2021-09-09 03:37:18.319624 : Epoch  3, Batch   3176, Loss  0.875616, Average Loss  0.870061, Time  0.482894
2021-09-09 03:37:20.138896 : Epoch  3, Batch   3177, Loss  0.840559, Average Loss  0.869894, Time  0.355976
2021-09-09 03:37:21.917231 : Epoch  3, Batch   3178, Loss  0.878405, Average Loss  0.870048, Time  0.354753
2021-09-09 03:42:17.379720 : CheckPoint: Validation Loss  0.00062127, Best Loss  0.00057084
2021-09-09 03:42:19.166061 : Epoch  3, Batch   3179, Loss  0.891309, Average Loss  0.870150, Time  0.358672
2021-09-09 03:42:21.076145 : Epoch  3, Batch   3180, Loss  0.885034, Average Loss  0.870350, Time  0.456994
2021-09-09 03:42:23.045313 : Epoch  3, Batch   3181, Loss  0.864220, Average Loss  0.870279, Time  0.493751
2021-09-09 03:42:24.925310 : Epoch  3, Batch   3182, Loss  0.848386, Average Loss  0.870020, Time  0.402592
2021-09-09 03:42:26.806906 : Epoch  3, Batch   3183, Loss  0.840389, Average Loss  0.869813, Time  0.400292
2021-09-09 03:42:28.678739 : Epoch  3, Batch   3184, Loss  0.876439, Average Loss  0.869809, Time  0.397433
2021-09-09 03:42:30.637549 : Epoch  3, Batch   3185, Loss  0.866682, Average Loss  0.869743, Time  0.493466
2021-09-09 03:42:32.582801 : Epoch  3, Batch   3186, Loss  0.867153, Average Loss  0.869645, Time  0.481790
2021-09-09 03:42:34.440167 : Epoch  3, Batch   3187, Loss  0.856713, Average Loss  0.869607, Time  0.397578
2021-09-09 03:42:36.328113 : Epoch  3, Batch   3188, Loss  0.865805, Average Loss  0.869577, Time  0.401337
2021-09-09 03:42:38.184333 : Epoch  3, Batch   3189, Loss  0.835038, Average Loss  0.869452, Time  0.400559
2021-09-09 03:42:40.133190 : Epoch  3, Batch   3190, Loss  0.839495, Average Loss  0.869304, Time  0.487465
2021-09-09 03:42:42.106948 : Epoch  3, Batch   3191, Loss  0.855258, Average Loss  0.869249, Time  0.481326
2021-09-09 03:42:43.989781 : Epoch  3, Batch   3192, Loss  0.899225, Average Loss  0.869437, Time  0.397566
2021-09-09 03:42:45.863870 : Epoch  3, Batch   3193, Loss  0.879614, Average Loss  0.869350, Time  0.398209
2021-09-09 03:42:47.728775 : Epoch  3, Batch   3194, Loss  0.884435, Average Loss  0.869594, Time  0.409499
2021-09-09 03:42:49.705202 : Epoch  3, Batch   3195, Loss  0.869567, Average Loss  0.869375, Time  0.491454
2021-09-09 03:42:51.674239 : Epoch  3, Batch   3196, Loss  0.868297, Average Loss  0.869238, Time  0.469835
2021-09-09 03:42:53.553038 : Epoch  3, Batch   3197, Loss  0.878052, Average Loss  0.869169, Time  0.401128
2021-09-09 03:42:55.428762 : Epoch  3, Batch   3198, Loss  0.894830, Average Loss  0.869343, Time  0.400552
2021-09-09 03:42:57.352830 : Epoch  3, Batch   3199, Loss  0.870279, Average Loss  0.869594, Time  0.415320
2021-09-09 03:42:59.310283 : Epoch  3, Batch   3200, Loss  0.863818, Average Loss  0.869597, Time  0.490560
2021-09-09 03:43:01.281315 : Epoch  3, Batch   3201, Loss  0.859911, Average Loss  0.869421, Time  0.481553
2021-09-09 03:43:03.140897 : Epoch  3, Batch   3202, Loss  0.852283, Average Loss  0.869204, Time  0.398420
2021-09-09 03:43:05.022822 : Epoch  3, Batch   3203, Loss  0.874387, Average Loss  0.869193, Time  0.397929
2021-09-09 03:43:06.899175 : Epoch  3, Batch   3204, Loss  0.876042, Average Loss  0.869111, Time  0.377047
2021-09-09 03:43:08.832298 : Epoch  3, Batch   3205, Loss  0.867188, Average Loss  0.869172, Time  0.474562
2021-09-09 03:43:10.753960 : Epoch  3, Batch   3206, Loss  0.851117, Average Loss  0.869301, Time  0.462482
2021-09-09 03:43:12.578993 : Epoch  3, Batch   3207, Loss  0.869449, Average Loss  0.869295, Time  0.365570
2021-09-09 03:43:14.377796 : Epoch  3, Batch   3208, Loss  0.848879, Average Loss  0.869183, Time  0.362613
2021-09-09 03:43:16.198364 : Epoch  3, Batch   3209, Loss  0.888147, Average Loss  0.869263, Time  0.396564
2021-09-09 03:43:18.119032 : Epoch  3, Batch   3210, Loss  0.868533, Average Loss  0.869297, Time  0.453825
2021-09-09 03:43:20.117472 : Epoch  3, Batch   3211, Loss  0.867962, Average Loss  0.869184, Time  0.495418
2021-09-09 03:43:22.019835 : Epoch  3, Batch   3212, Loss  0.880182, Average Loss  0.869204, Time  0.425779
2021-09-09 03:43:23.886681 : Epoch  3, Batch   3213, Loss  0.865397, Average Loss  0.869123, Time  0.398890
2021-09-09 03:43:25.780384 : Epoch  3, Batch   3214, Loss  0.868346, Average Loss  0.869192, Time  0.419779
2021-09-09 03:43:27.787977 : Epoch  3, Batch   3215, Loss  0.858264, Average Loss  0.869087, Time  0.522207
2021-09-09 03:43:29.743348 : Epoch  3, Batch   3216, Loss  0.880410, Average Loss  0.869143, Time  0.492799
2021-09-09 03:43:31.572303 : Epoch  3, Batch   3217, Loss  0.895848, Average Loss  0.869286, Time  0.358648
2021-09-09 03:43:33.481844 : Epoch  3, Batch   3218, Loss  0.847588, Average Loss  0.869187, Time  0.401067
2021-09-09 03:43:35.362194 : Epoch  3, Batch   3219, Loss  0.875117, Average Loss  0.869242, Time  0.426647
2021-09-09 03:43:37.253367 : Epoch  3, Batch   3220, Loss  0.854517, Average Loss  0.869109, Time  0.456782
2021-09-09 03:43:39.111820 : Epoch  3, Batch   3221, Loss  0.854346, Average Loss  0.869090, Time  0.433581
2021-09-09 03:43:40.981723 : Epoch  3, Batch   3222, Loss  0.853790, Average Loss  0.868881, Time  0.401614
2021-09-09 03:43:42.866804 : Epoch  3, Batch   3223, Loss  0.885505, Average Loss  0.868929, Time  0.400448
2021-09-09 03:43:44.755871 : Epoch  3, Batch   3224, Loss  0.871243, Average Loss  0.869101, Time  0.417516
2021-09-09 03:43:46.676264 : Epoch  3, Batch   3225, Loss  0.846990, Average Loss  0.868983, Time  0.454537
2021-09-09 03:43:48.439844 : Epoch  3, Batch   3226, Loss  0.856840, Average Loss  0.868739, Time  0.350802
2021-09-09 03:43:50.226789 : Epoch  3, Batch   3227, Loss  0.867438, Average Loss  0.868654, Time  0.356422
2021-09-09 03:43:52.009341 : Epoch  3, Batch   3228, Loss  0.861874, Average Loss  0.868663, Time  0.358122
2021-09-09 03:43:53.978002 : Epoch  3, Batch   3229, Loss  0.884539, Average Loss  0.868735, Time  0.500074
2021-09-09 03:43:55.924105 : Epoch  3, Batch   3230, Loss  0.865425, Average Loss  0.868887, Time  0.482094
2021-09-09 03:43:57.793131 : Epoch  3, Batch   3231, Loss  0.892452, Average Loss  0.869107, Time  0.399695
2021-09-09 03:43:59.671883 : Epoch  3, Batch   3232, Loss  0.885028, Average Loss  0.869061, Time  0.409168
2021-09-09 03:44:01.543252 : Epoch  3, Batch   3233, Loss  0.868531, Average Loss  0.869158, Time  0.398453
2021-09-09 03:44:03.487929 : Epoch  3, Batch   3234, Loss  0.876798, Average Loss  0.869111, Time  0.460457
2021-09-09 03:44:05.434891 : Epoch  3, Batch   3235, Loss  0.833141, Average Loss  0.868769, Time  0.480233
2021-09-09 03:44:07.320089 : Epoch  3, Batch   3236, Loss  0.873461, Average Loss  0.868734, Time  0.396801
2021-09-09 03:44:09.191154 : Epoch  3, Batch   3237, Loss  0.873446, Average Loss  0.868721, Time  0.398050
2021-09-09 03:44:11.051799 : Epoch  3, Batch   3238, Loss  0.861865, Average Loss  0.868739, Time  0.396984
2021-09-09 03:44:13.024025 : Epoch  3, Batch   3239, Loss  0.855752, Average Loss  0.868599, Time  0.486652
2021-09-09 03:44:14.963974 : Epoch  3, Batch   3240, Loss  0.876022, Average Loss  0.868609, Time  0.481284
2021-09-09 03:44:16.841955 : Epoch  3, Batch   3241, Loss  0.897615, Average Loss  0.868840, Time  0.398268
2021-09-09 03:44:18.717492 : Epoch  3, Batch   3242, Loss  0.904384, Average Loss  0.868952, Time  0.397919
2021-09-09 03:44:20.570388 : Epoch  3, Batch   3243, Loss  0.868003, Average Loss  0.868922, Time  0.396980
2021-09-09 03:44:22.515829 : Epoch  3, Batch   3244, Loss  0.897692, Average Loss  0.869072, Time  0.484491
2021-09-09 03:44:24.459752 : Epoch  3, Batch   3245, Loss  0.880216, Average Loss  0.869013, Time  0.473246
2021-09-09 03:44:26.252900 : Epoch  3, Batch   3246, Loss  0.857728, Average Loss  0.869067, Time  0.362475
2021-09-09 03:44:28.029593 : Epoch  3, Batch   3247, Loss  0.872339, Average Loss  0.869096, Time  0.358898
2021-09-09 03:44:29.888823 : Epoch  3, Batch   3248, Loss  0.838474, Average Loss  0.868733, Time  0.404760
2021-09-09 03:44:31.763044 : Epoch  3, Batch   3249, Loss  0.856105, Average Loss  0.868702, Time  0.454873
2021-09-09 03:44:33.819143 : Epoch  3, Batch   3250, Loss  0.870081, Average Loss  0.868747, Time  0.493755
2021-09-09 03:44:35.725880 : Epoch  3, Batch   3251, Loss  0.891517, Average Loss  0.868827, Time  0.410630
2021-09-09 03:44:37.637387 : Epoch  3, Batch   3252, Loss  0.893821, Average Loss  0.868938, Time  0.439057
2021-09-09 03:44:39.535891 : Epoch  3, Batch   3253, Loss  0.873110, Average Loss  0.868998, Time  0.410783
2021-09-09 03:44:41.519306 : Epoch  3, Batch   3254, Loss  0.880569, Average Loss  0.869014, Time  0.490134
2021-09-09 03:44:43.483213 : Epoch  3, Batch   3255, Loss  0.897764, Average Loss  0.869065, Time  0.497476
2021-09-09 03:44:45.483835 : Epoch  3, Batch   3256, Loss  0.881476, Average Loss  0.869141, Time  0.518181
2021-09-09 03:44:47.380029 : Epoch  3, Batch   3257, Loss  0.872440, Average Loss  0.869138, Time  0.407985
2021-09-09 03:44:49.259143 : Epoch  3, Batch   3258, Loss  0.903570, Average Loss  0.869431, Time  0.397502
2021-09-09 03:44:51.128909 : Epoch  3, Batch   3259, Loss  0.868191, Average Loss  0.869616, Time  0.396875
2021-09-09 03:44:53.100939 : Epoch  3, Batch   3260, Loss  0.891929, Average Loss  0.869783, Time  0.487643
2021-09-09 03:44:55.041972 : Epoch  3, Batch   3261, Loss  0.900656, Average Loss  0.869874, Time  0.483351
2021-09-09 03:44:56.878807 : Epoch  3, Batch   3262, Loss  0.864360, Average Loss  0.869837, Time  0.379999
2021-09-09 03:44:58.726108 : Epoch  3, Batch   3263, Loss  0.856591, Average Loss  0.869932, Time  0.361775
2021-09-09 03:45:00.526828 : Epoch  3, Batch   3264, Loss  0.898781, Average Loss  0.870046, Time  0.359253
2021-09-09 03:45:02.421879 : Epoch  3, Batch   3265, Loss  0.873505, Average Loss  0.869930, Time  0.455952
2021-09-09 03:45:04.319838 : Epoch  3, Batch   3266, Loss  0.835674, Average Loss  0.869521, Time  0.446922
2021-09-09 03:45:06.108824 : Epoch  3, Batch   3267, Loss  0.874992, Average Loss  0.869457, Time  0.360653
2021-09-09 03:45:07.916778 : Epoch  3, Batch   3268, Loss  0.886082, Average Loss  0.869484, Time  0.378210
2021-09-09 03:45:09.742263 : Epoch  3, Batch   3269, Loss  0.869509, Average Loss  0.869485, Time  0.403143
2021-09-09 03:45:11.682776 : Epoch  3, Batch   3270, Loss  0.872848, Average Loss  0.869371, Time  0.465488
2021-09-09 03:45:13.539941 : Epoch  3, Batch   3271, Loss  0.866016, Average Loss  0.869376, Time  0.436078
2021-09-09 03:45:15.423228 : Epoch  3, Batch   3272, Loss  0.859765, Average Loss  0.869353, Time  0.426839
2021-09-09 03:45:17.284959 : Epoch  3, Batch   3273, Loss  0.873523, Average Loss  0.869279, Time  0.394758
2021-09-09 03:45:19.191862 : Epoch  3, Batch   3274, Loss  0.829686, Average Loss  0.869046, Time  0.419678
2021-09-09 03:45:21.121880 : Epoch  3, Batch   3275, Loss  0.879648, Average Loss  0.869010, Time  0.465388
2021-09-09 03:45:22.974844 : Epoch  3, Batch   3276, Loss  0.858582, Average Loss  0.869134, Time  0.431839
2021-09-09 03:45:24.772277 : Epoch  3, Batch   3277, Loss  0.886609, Average Loss  0.869281, Time  0.357673
2021-09-09 03:45:26.553935 : Epoch  3, Batch   3278, Loss  0.872372, Average Loss  0.869411, Time  0.357385
2021-09-09 03:50:21.355792 : CheckPoint: Validation Loss  0.00060321, Best Loss  0.00057084
2021-09-09 03:50:23.214040 : Epoch  3, Batch   3279, Loss  0.885110, Average Loss  0.869391, Time  0.397998
2021-09-09 03:50:25.186809 : Epoch  3, Batch   3280, Loss  0.855183, Average Loss  0.869318, Time  0.438300
2021-09-09 03:50:27.070918 : Epoch  3, Batch   3281, Loss  0.868904, Average Loss  0.869320, Time  0.466177
2021-09-09 03:50:28.849117 : Epoch  3, Batch   3282, Loss  0.892002, Average Loss  0.869629, Time  0.356520
2021-09-09 03:50:30.789822 : Epoch  3, Batch   3283, Loss  0.875204, Average Loss  0.869746, Time  0.403213
2021-09-09 03:50:32.702165 : Epoch  3, Batch   3284, Loss  0.871558, Average Loss  0.869774, Time  0.421336
2021-09-09 03:50:34.695830 : Epoch  3, Batch   3285, Loss  0.861238, Average Loss  0.869644, Time  0.518521
2021-09-09 03:50:36.676420 : Epoch  3, Batch   3286, Loss  0.884167, Average Loss  0.869708, Time  0.501386
2021-09-09 03:50:38.680273 : Epoch  3, Batch   3287, Loss  0.879615, Average Loss  0.869715, Time  0.519774
2021-09-09 03:50:40.563791 : Epoch  3, Batch   3288, Loss  0.859505, Average Loss  0.869709, Time  0.401482
2021-09-09 03:50:42.422853 : Epoch  3, Batch   3289, Loss  0.864556, Average Loss  0.869547, Time  0.399287
2021-09-09 03:50:44.280783 : Epoch  3, Batch   3290, Loss  0.875602, Average Loss  0.869485, Time  0.398068
2021-09-09 03:50:46.246532 : Epoch  3, Batch   3291, Loss  0.858603, Average Loss  0.869497, Time  0.487968
2021-09-09 03:50:48.198315 : Epoch  3, Batch   3292, Loss  0.873846, Average Loss  0.869417, Time  0.484850
2021-09-09 03:50:50.125795 : Epoch  3, Batch   3293, Loss  0.859625, Average Loss  0.869408, Time  0.460352
2021-09-09 03:50:51.990357 : Epoch  3, Batch   3294, Loss  0.858167, Average Loss  0.869321, Time  0.407825
2021-09-09 03:50:53.840189 : Epoch  3, Batch   3295, Loss  0.836139, Average Loss  0.869162, Time  0.397417
2021-09-09 03:50:55.723859 : Epoch  3, Batch   3296, Loss  0.839535, Average Loss  0.869237, Time  0.406640
2021-09-09 03:50:57.678156 : Epoch  3, Batch   3297, Loss  0.857267, Average Loss  0.869202, Time  0.481281
2021-09-09 03:50:59.623806 : Epoch  3, Batch   3298, Loss  0.854166, Average Loss  0.869175, Time  0.480962
2021-09-09 03:51:01.480239 : Epoch  3, Batch   3299, Loss  0.853194, Average Loss  0.869129, Time  0.397340
2021-09-09 03:51:03.376367 : Epoch  3, Batch   3300, Loss  0.892844, Average Loss  0.869228, Time  0.400734
2021-09-09 03:51:05.246847 : Epoch  3, Batch   3301, Loss  0.856222, Average Loss  0.869126, Time  0.396924
2021-09-09 03:51:07.196227 : Epoch  3, Batch   3302, Loss  0.839608, Average Loss  0.869100, Time  0.490134
2021-09-09 03:51:09.095179 : Epoch  3, Batch   3303, Loss  0.860912, Average Loss  0.869019, Time  0.444382
2021-09-09 03:51:10.992393 : Epoch  3, Batch   3304, Loss  0.865688, Average Loss  0.869002, Time  0.429307
2021-09-09 03:51:12.897251 : Epoch  3, Batch   3305, Loss  0.872123, Average Loss  0.869085, Time  0.409732
2021-09-09 03:51:14.701659 : Epoch  3, Batch   3306, Loss  0.877120, Average Loss  0.869082, Time  0.374053
2021-09-09 03:51:16.571189 : Epoch  3, Batch   3307, Loss  0.833810, Average Loss  0.868796, Time  0.443443
2021-09-09 03:51:18.358067 : Epoch  3, Batch   3308, Loss  0.886908, Average Loss  0.868832, Time  0.359341
2021-09-09 03:51:20.174292 : Epoch  3, Batch   3309, Loss  0.853637, Average Loss  0.868666, Time  0.365861
2021-09-09 03:51:21.976977 : Epoch  3, Batch   3310, Loss  0.861413, Average Loss  0.868539, Time  0.382811
2021-09-09 03:51:23.962656 : Epoch  3, Batch   3311, Loss  0.893719, Average Loss  0.868603, Time  0.485255
2021-09-09 03:51:25.911839 : Epoch  3, Batch   3312, Loss  0.866437, Average Loss  0.868620, Time  0.483447
2021-09-09 03:51:27.781316 : Epoch  3, Batch   3313, Loss  0.849514, Average Loss  0.868547, Time  0.397366
2021-09-09 03:51:29.648829 : Epoch  3, Batch   3314, Loss  0.882391, Average Loss  0.868570, Time  0.398148
2021-09-09 03:51:31.516660 : Epoch  3, Batch   3315, Loss  0.870962, Average Loss  0.868606, Time  0.398889
2021-09-09 03:51:33.471882 : Epoch  3, Batch   3316, Loss  0.868900, Average Loss  0.868721, Time  0.487427
2021-09-09 03:51:35.429187 : Epoch  3, Batch   3317, Loss  0.879105, Average Loss  0.868830, Time  0.481343
2021-09-09 03:51:37.311784 : Epoch  3, Batch   3318, Loss  0.893143, Average Loss  0.869044, Time  0.399090
2021-09-09 03:51:39.195870 : Epoch  3, Batch   3319, Loss  0.869075, Average Loss  0.869033, Time  0.405017
2021-09-09 03:51:41.077797 : Epoch  3, Batch   3320, Loss  0.853331, Average Loss  0.869086, Time  0.399553
2021-09-09 03:51:42.990895 : Epoch  3, Batch   3321, Loss  0.840173, Average Loss  0.869079, Time  0.454081
2021-09-09 03:51:44.842991 : Epoch  3, Batch   3322, Loss  0.845891, Average Loss  0.868926, Time  0.437232
2021-09-09 03:51:46.693921 : Epoch  3, Batch   3323, Loss  0.860758, Average Loss  0.868766, Time  0.377771
2021-09-09 03:51:48.522278 : Epoch  3, Batch   3324, Loss  0.875273, Average Loss  0.868873, Time  0.356010
2021-09-09 03:51:50.466405 : Epoch  3, Batch   3325, Loss  0.849816, Average Loss  0.868715, Time  0.428766
2021-09-09 03:51:52.427567 : Epoch  3, Batch   3326, Loss  0.886663, Average Loss  0.868781, Time  0.480559
2021-09-09 03:51:54.379164 : Epoch  3, Batch   3327, Loss  0.859952, Average Loss  0.868797, Time  0.483659
2021-09-09 03:51:56.255288 : Epoch  3, Batch   3328, Loss  0.867710, Average Loss  0.868804, Time  0.402102
2021-09-09 03:51:58.135869 : Epoch  3, Batch   3329, Loss  0.888019, Average Loss  0.868905, Time  0.418074
2021-09-09 03:52:00.035287 : Epoch  3, Batch   3330, Loss  0.864005, Average Loss  0.868917, Time  0.406877
2021-09-09 03:52:01.991508 : Epoch  3, Batch   3331, Loss  0.847248, Average Loss  0.868725, Time  0.488483
2021-09-09 03:52:03.929326 : Epoch  3, Batch   3332, Loss  0.861695, Average Loss  0.868716, Time  0.482044
2021-09-09 03:52:05.746917 : Epoch  3, Batch   3333, Loss  0.866738, Average Loss  0.868594, Time  0.360800
2021-09-09 03:52:07.557299 : Epoch  3, Batch   3334, Loss  0.912681, Average Loss  0.868820, Time  0.375579
2021-09-09 03:52:09.492385 : Epoch  3, Batch   3335, Loss  0.861981, Average Loss  0.868731, Time  0.467666
2021-09-09 03:52:11.494439 : Epoch  3, Batch   3336, Loss  0.864114, Average Loss  0.868681, Time  0.487984
2021-09-09 03:52:13.492077 : Epoch  3, Batch   3337, Loss  0.873910, Average Loss  0.868749, Time  0.492101
2021-09-09 03:52:15.337161 : Epoch  3, Batch   3338, Loss  0.894538, Average Loss  0.868777, Time  0.396564
2021-09-09 03:52:17.282346 : Epoch  3, Batch   3339, Loss  0.873825, Average Loss  0.868886, Time  0.430190
2021-09-09 03:52:19.162884 : Epoch  3, Batch   3340, Loss  0.870927, Average Loss  0.868883, Time  0.410044
2021-09-09 03:52:21.069335 : Epoch  3, Batch   3341, Loss  0.868630, Average Loss  0.868978, Time  0.429986
2021-09-09 03:52:23.044020 : Epoch  3, Batch   3342, Loss  0.881788, Average Loss  0.868940, Time  0.488748
2021-09-09 03:52:25.009376 : Epoch  3, Batch   3343, Loss  0.873845, Average Loss  0.868981, Time  0.489141
2021-09-09 03:52:26.876333 : Epoch  3, Batch   3344, Loss  0.883506, Average Loss  0.868955, Time  0.397495
2021-09-09 03:52:28.741114 : Epoch  3, Batch   3345, Loss  0.883864, Average Loss  0.868956, Time  0.399512
2021-09-09 03:52:30.606848 : Epoch  3, Batch   3346, Loss  0.888296, Average Loss  0.869089, Time  0.399558
2021-09-09 03:52:32.563279 : Epoch  3, Batch   3347, Loss  0.878415, Average Loss  0.869169, Time  0.493833
2021-09-09 03:52:34.517900 : Epoch  3, Batch   3348, Loss  0.849400, Average Loss  0.869152, Time  0.485135
2021-09-09 03:52:36.396877 : Epoch  3, Batch   3349, Loss  0.873491, Average Loss  0.869235, Time  0.397344
2021-09-09 03:52:38.339891 : Epoch  3, Batch   3350, Loss  0.838553, Average Loss  0.869143, Time  0.398427
2021-09-09 03:52:40.232627 : Epoch  3, Batch   3351, Loss  0.859491, Average Loss  0.869075, Time  0.400059
2021-09-09 03:52:42.187161 : Epoch  3, Batch   3352, Loss  0.880958, Average Loss  0.869227, Time  0.483728
2021-09-09 03:52:44.066579 : Epoch  3, Batch   3353, Loss  0.866875, Average Loss  0.869348, Time  0.454006
2021-09-09 03:52:46.069398 : Epoch  3, Batch   3354, Loss  0.834165, Average Loss  0.869215, Time  0.498297
2021-09-09 03:52:47.957336 : Epoch  3, Batch   3355, Loss  0.865449, Average Loss  0.869102, Time  0.412820
2021-09-09 03:52:49.830852 : Epoch  3, Batch   3356, Loss  0.870964, Average Loss  0.868994, Time  0.401355
2021-09-09 03:52:51.693070 : Epoch  3, Batch   3357, Loss  0.881498, Average Loss  0.868995, Time  0.398215
2021-09-09 03:52:53.657394 : Epoch  3, Batch   3358, Loss  0.893736, Average Loss  0.869093, Time  0.483638
2021-09-09 03:52:55.600346 : Epoch  3, Batch   3359, Loss  0.833229, Average Loss  0.868892, Time  0.482871
2021-09-09 03:52:57.481076 : Epoch  3, Batch   3360, Loss  0.874906, Average Loss  0.868782, Time  0.398294
2021-09-09 03:52:59.360184 : Epoch  3, Batch   3361, Loss  0.867911, Average Loss  0.868770, Time  0.396187
2021-09-09 03:53:01.249870 : Epoch  3, Batch   3362, Loss  0.873481, Average Loss  0.868719, Time  0.415282
2021-09-09 03:53:03.210908 : Epoch  3, Batch   3363, Loss  0.863638, Average Loss  0.868650, Time  0.485306
2021-09-09 03:53:05.156479 : Epoch  3, Batch   3364, Loss  0.865615, Average Loss  0.868696, Time  0.478819
2021-09-09 03:53:06.945415 : Epoch  3, Batch   3365, Loss  0.887764, Average Loss  0.868858, Time  0.359934
2021-09-09 03:53:08.866277 : Epoch  3, Batch   3366, Loss  0.879944, Average Loss  0.869016, Time  0.438892
2021-09-09 03:53:10.740867 : Epoch  3, Batch   3367, Loss  0.889850, Average Loss  0.869176, Time  0.410237
2021-09-09 03:53:12.748129 : Epoch  3, Batch   3368, Loss  0.868673, Average Loss  0.869250, Time  0.501553
2021-09-09 03:53:14.746348 : Epoch  3, Batch   3369, Loss  0.849105, Average Loss  0.869235, Time  0.518941
2021-09-09 03:53:16.676982 : Epoch  3, Batch   3370, Loss  0.836747, Average Loss  0.869172, Time  0.432876
2021-09-09 03:53:18.554862 : Epoch  3, Batch   3371, Loss  0.868629, Average Loss  0.869145, Time  0.408531
2021-09-09 03:53:20.386781 : Epoch  3, Batch   3372, Loss  0.874290, Average Loss  0.869040, Time  0.364506
2021-09-09 03:53:22.231989 : Epoch  3, Batch   3373, Loss  0.881759, Average Loss  0.869136, Time  0.412314
2021-09-09 03:53:24.187578 : Epoch  3, Batch   3374, Loss  0.848083, Average Loss  0.869009, Time  0.480659
2021-09-09 03:53:26.061204 : Epoch  3, Batch   3375, Loss  0.893341, Average Loss  0.869154, Time  0.449304
2021-09-09 03:53:27.843929 : Epoch  3, Batch   3376, Loss  0.899034, Average Loss  0.869271, Time  0.362079
2021-09-09 03:53:29.638809 : Epoch  3, Batch   3377, Loss  0.896268, Average Loss  0.869549, Time  0.363099
2021-09-09 03:53:31.591039 : Epoch  3, Batch   3378, Loss  0.907150, Average Loss  0.869693, Time  0.452728
2021-09-09 03:58:26.986734 : CheckPoint: Validation Loss  0.00059840, Best Loss  0.00057084
2021-09-09 03:58:28.776776 : Epoch  3, Batch   3379, Loss  0.896528, Average Loss  0.869719, Time  0.357714
2021-09-09 03:58:30.670822 : Epoch  3, Batch   3380, Loss  0.882990, Average Loss  0.869709, Time  0.420691
2021-09-09 03:58:32.642266 : Epoch  3, Batch   3381, Loss  0.853159, Average Loss  0.869654, Time  0.503403
2021-09-09 03:58:34.618170 : Epoch  3, Batch   3382, Loss  0.880860, Average Loss  0.869816, Time  0.485259
2021-09-09 03:58:36.582080 : Epoch  3, Batch   3383, Loss  0.858425, Average Loss  0.869906, Time  0.464432
2021-09-09 03:58:38.525844 : Epoch  3, Batch   3384, Loss  0.859011, Average Loss  0.869819, Time  0.453425
2021-09-09 03:58:40.397779 : Epoch  3, Batch   3385, Loss  0.853983, Average Loss  0.869756, Time  0.401189
2021-09-09 03:58:42.265778 : Epoch  3, Batch   3386, Loss  0.886265, Average Loss  0.869851, Time  0.397243
2021-09-09 03:58:44.194863 : Epoch  3, Batch   3387, Loss  0.891092, Average Loss  0.870023, Time  0.457267
2021-09-09 03:58:46.054751 : Epoch  3, Batch   3388, Loss  0.882094, Average Loss  0.870104, Time  0.433167
2021-09-09 03:58:47.934151 : Epoch  3, Batch   3389, Loss  0.849712, Average Loss  0.870178, Time  0.410300
2021-09-09 03:58:49.828826 : Epoch  3, Batch   3390, Loss  0.833527, Average Loss  0.870148, Time  0.408570
2021-09-09 03:58:51.708310 : Epoch  3, Batch   3391, Loss  0.896457, Average Loss  0.870354, Time  0.442177
2021-09-09 03:58:53.638776 : Epoch  3, Batch   3392, Loss  0.878414, Average Loss  0.870250, Time  0.461223
2021-09-09 03:58:55.576129 : Epoch  3, Batch   3393, Loss  0.858266, Average Loss  0.870143, Time  0.460697
2021-09-09 03:58:57.444109 : Epoch  3, Batch   3394, Loss  0.869309, Average Loss  0.870068, Time  0.397475
2021-09-09 03:58:59.327968 : Epoch  3, Batch   3395, Loss  0.862309, Average Loss  0.870031, Time  0.398383
2021-09-09 03:59:01.195065 : Epoch  3, Batch   3396, Loss  0.877198, Average Loss  0.870076, Time  0.398128
2021-09-09 03:59:03.173625 : Epoch  3, Batch   3397, Loss  0.898549, Average Loss  0.870178, Time  0.489868
2021-09-09 03:59:05.165209 : Epoch  3, Batch   3398, Loss  0.853435, Average Loss  0.869971, Time  0.481635
2021-09-09 03:59:07.091054 : Epoch  3, Batch   3399, Loss  0.856385, Average Loss  0.869902, Time  0.435042
2021-09-09 03:59:08.977679 : Epoch  3, Batch   3400, Loss  0.856910, Average Loss  0.869867, Time  0.398149
2021-09-09 03:59:10.870299 : Epoch  3, Batch   3401, Loss  0.846844, Average Loss  0.869802, Time  0.399603
2021-09-09 03:59:12.786169 : Epoch  3, Batch   3402, Loss  0.870478, Average Loss  0.869893, Time  0.433089
2021-09-09 03:59:14.749203 : Epoch  3, Batch   3403, Loss  0.900971, Average Loss  0.870026, Time  0.483262
2021-09-09 03:59:16.741019 : Epoch  3, Batch   3404, Loss  0.854553, Average Loss  0.869918, Time  0.480917
2021-09-09 03:59:18.628166 : Epoch  3, Batch   3405, Loss  0.856742, Average Loss  0.869866, Time  0.397144
2021-09-09 03:59:20.502795 : Epoch  3, Batch   3406, Loss  0.858081, Average Loss  0.869901, Time  0.400643
2021-09-09 03:59:22.431163 : Epoch  3, Batch   3407, Loss  0.852442, Average Loss  0.869816, Time  0.408136
2021-09-09 03:59:24.357773 : Epoch  3, Batch   3408, Loss  0.859172, Average Loss  0.869867, Time  0.457344
2021-09-09 03:59:26.244753 : Epoch  3, Batch   3409, Loss  0.845772, Average Loss  0.869656, Time  0.451462
2021-09-09 03:59:28.093830 : Epoch  3, Batch   3410, Loss  0.874945, Average Loss  0.869688, Time  0.357419
2021-09-09 03:59:29.905667 : Epoch  3, Batch   3411, Loss  0.867537, Average Loss  0.869686, Time  0.356288
2021-09-09 03:59:31.840813 : Epoch  3, Batch   3412, Loss  0.895053, Average Loss  0.869760, Time  0.410496
2021-09-09 03:59:33.809172 : Epoch  3, Batch   3413, Loss  0.849797, Average Loss  0.869682, Time  0.493433
2021-09-09 03:59:35.799829 : Epoch  3, Batch   3414, Loss  0.864707, Average Loss  0.869664, Time  0.511267
2021-09-09 03:59:37.706810 : Epoch  3, Batch   3415, Loss  0.873821, Average Loss  0.869741, Time  0.405663
2021-09-09 03:59:39.576773 : Epoch  3, Batch   3416, Loss  0.866295, Average Loss  0.869671, Time  0.411412
2021-09-09 03:59:41.468822 : Epoch  3, Batch   3417, Loss  0.845911, Average Loss  0.869421, Time  0.402723
2021-09-09 03:59:43.445806 : Epoch  3, Batch   3418, Loss  0.898772, Average Loss  0.869677, Time  0.502522
2021-09-09 03:59:45.454837 : Epoch  3, Batch   3419, Loss  0.852143, Average Loss  0.869562, Time  0.497917
2021-09-09 03:59:47.306371 : Epoch  3, Batch   3420, Loss  0.861165, Average Loss  0.869595, Time  0.414313
2021-09-09 03:59:49.093793 : Epoch  3, Batch   3421, Loss  0.904263, Average Loss  0.869845, Time  0.356397
2021-09-09 03:59:50.906475 : Epoch  3, Batch   3422, Loss  0.872447, Average Loss  0.869938, Time  0.359258
2021-09-09 03:59:52.834032 : Epoch  3, Batch   3423, Loss  0.915631, Average Loss  0.870089, Time  0.446848
2021-09-09 03:59:54.865566 : Epoch  3, Batch   3424, Loss  0.889502, Average Loss  0.870180, Time  0.516636
2021-09-09 03:59:56.917212 : Epoch  3, Batch   3425, Loss  0.857199, Average Loss  0.870231, Time  0.453763
2021-09-09 03:59:58.821341 : Epoch  3, Batch   3426, Loss  0.887944, Average Loss  0.870387, Time  0.425265
2021-09-09 04:00:00.684377 : Epoch  3, Batch   3427, Loss  0.879469, Average Loss  0.870447, Time  0.398908
2021-09-09 04:00:02.581878 : Epoch  3, Batch   3428, Loss  0.867642, Average Loss  0.870476, Time  0.428408
2021-09-09 04:00:04.502509 : Epoch  3, Batch   3429, Loss  0.868841, Average Loss  0.870397, Time  0.450446
2021-09-09 04:00:06.339939 : Epoch  3, Batch   3430, Loss  0.874591, Average Loss  0.870443, Time  0.393156
2021-09-09 04:00:08.127457 : Epoch  3, Batch   3431, Loss  0.876252, Average Loss  0.870362, Time  0.365870
2021-09-09 04:00:10.052284 : Epoch  3, Batch   3432, Loss  0.872058, Average Loss  0.870297, Time  0.404555
2021-09-09 04:00:11.975848 : Epoch  3, Batch   3433, Loss  0.858725, Average Loss  0.870248, Time  0.448536
2021-09-09 04:00:13.920878 : Epoch  3, Batch   3434, Loss  0.892963, Average Loss  0.870329, Time  0.471506
2021-09-09 04:00:15.705206 : Epoch  3, Batch   3435, Loss  0.858192, Average Loss  0.870454, Time  0.357901
2021-09-09 04:00:17.629812 : Epoch  3, Batch   3436, Loss  0.873973, Average Loss  0.870457, Time  0.436191
2021-09-09 04:00:19.522574 : Epoch  3, Batch   3437, Loss  0.877231, Average Loss  0.870476, Time  0.407009
2021-09-09 04:00:21.474217 : Epoch  3, Batch   3438, Loss  0.884397, Average Loss  0.870589, Time  0.480720
2021-09-09 04:00:23.415439 : Epoch  3, Batch   3439, Loss  0.886781, Average Loss  0.870744, Time  0.476616
2021-09-09 04:00:25.341791 : Epoch  3, Batch   3440, Loss  0.876594, Average Loss  0.870747, Time  0.462265
2021-09-09 04:00:27.154351 : Epoch  3, Batch   3441, Loss  0.883655, Average Loss  0.870677, Time  0.361340
2021-09-09 04:00:28.965786 : Epoch  3, Batch   3442, Loss  0.884995, Average Loss  0.870580, Time  0.360430
2021-09-09 04:00:30.809149 : Epoch  3, Batch   3443, Loss  0.845209, Average Loss  0.870466, Time  0.399245
2021-09-09 04:00:32.796168 : Epoch  3, Batch   3444, Loss  0.869722, Average Loss  0.870326, Time  0.491287
2021-09-09 04:00:34.764928 : Epoch  3, Batch   3445, Loss  0.881283, Average Loss  0.870331, Time  0.485087
2021-09-09 04:00:36.637380 : Epoch  3, Batch   3446, Loss  0.857080, Average Loss  0.870328, Time  0.381216
2021-09-09 04:00:38.518999 : Epoch  3, Batch   3447, Loss  0.886736, Average Loss  0.870400, Time  0.399072
2021-09-09 04:00:40.391819 : Epoch  3, Batch   3448, Loss  0.858252, Average Loss  0.870499, Time  0.398386
2021-09-09 04:00:42.346007 : Epoch  3, Batch   3449, Loss  0.899940, Average Loss  0.870718, Time  0.480788
2021-09-09 04:00:44.316495 : Epoch  3, Batch   3450, Loss  0.843727, Average Loss  0.870586, Time  0.487888
2021-09-09 04:00:46.282640 : Epoch  3, Batch   3451, Loss  0.851934, Average Loss  0.870388, Time  0.482106
2021-09-09 04:00:48.095356 : Epoch  3, Batch   3452, Loss  0.883005, Average Loss  0.870334, Time  0.358227
2021-09-09 04:00:49.906126 : Epoch  3, Batch   3453, Loss  0.879326, Average Loss  0.870365, Time  0.365463
2021-09-09 04:00:51.764396 : Epoch  3, Batch   3454, Loss  0.837859, Average Loss  0.870152, Time  0.435243
2021-09-09 04:00:53.670525 : Epoch  3, Batch   3455, Loss  0.870292, Average Loss  0.870014, Time  0.456094
2021-09-09 04:00:55.453956 : Epoch  3, Batch   3456, Loss  0.836871, Average Loss  0.869791, Time  0.345456
2021-09-09 04:00:57.327677 : Epoch  3, Batch   3457, Loss  0.880527, Average Loss  0.869832, Time  0.404877
2021-09-09 04:00:59.191410 : Epoch  3, Batch   3458, Loss  0.874502, Average Loss  0.869687, Time  0.399724
2021-09-09 04:01:01.155958 : Epoch  3, Batch   3459, Loss  0.861600, Average Loss  0.869654, Time  0.508789
2021-09-09 04:01:03.148828 : Epoch  3, Batch   3460, Loss  0.870128, Average Loss  0.869545, Time  0.509603
2021-09-09 04:01:05.099961 : Epoch  3, Batch   3461, Loss  0.854580, Average Loss  0.869314, Time  0.476966
2021-09-09 04:01:06.955183 : Epoch  3, Batch   3462, Loss  0.893066, Average Loss  0.869458, Time  0.372658
2021-09-09 04:01:08.786109 : Epoch  3, Batch   3463, Loss  0.906677, Average Loss  0.869708, Time  0.357249
2021-09-09 04:01:10.613669 : Epoch  3, Batch   3464, Loss  0.869354, Average Loss  0.869561, Time  0.397897
2021-09-09 04:01:12.525382 : Epoch  3, Batch   3465, Loss  0.850396, Average Loss  0.869445, Time  0.454052
2021-09-09 04:01:14.321635 : Epoch  3, Batch   3466, Loss  0.823587, Average Loss  0.869385, Time  0.357794
2021-09-09 04:01:16.174920 : Epoch  3, Batch   3467, Loss  0.854776, Average Loss  0.869284, Time  0.369050
2021-09-09 04:01:18.054216 : Epoch  3, Batch   3468, Loss  0.878078, Average Loss  0.869244, Time  0.374825
2021-09-09 04:01:19.961517 : Epoch  3, Batch   3469, Loss  0.868712, Average Loss  0.869240, Time  0.456589
2021-09-09 04:01:21.812934 : Epoch  3, Batch   3470, Loss  0.837091, Average Loss  0.869061, Time  0.425810
2021-09-09 04:01:23.606937 : Epoch  3, Batch   3471, Loss  0.872268, Average Loss  0.869092, Time  0.358516
2021-09-09 04:01:25.396800 : Epoch  3, Batch   3472, Loss  0.897045, Average Loss  0.869279, Time  0.360306
2021-09-09 04:01:27.261183 : Epoch  3, Batch   3473, Loss  0.862026, Average Loss  0.869221, Time  0.442076
2021-09-09 04:01:29.180344 : Epoch  3, Batch   3474, Loss  0.882801, Average Loss  0.869487, Time  0.464193
2021-09-09 04:01:30.981359 : Epoch  3, Batch   3475, Loss  0.876146, Average Loss  0.869469, Time  0.364433
2021-09-09 04:01:32.772162 : Epoch  3, Batch   3476, Loss  0.862309, Average Loss  0.869488, Time  0.361030
2021-09-09 04:01:34.603796 : Epoch  3, Batch   3477, Loss  0.885567, Average Loss  0.869483, Time  0.363627
2021-09-09 04:01:36.592915 : Epoch  3, Batch   3478, Loss  0.878351, Average Loss  0.869513, Time  0.482493
2021-09-09 04:06:30.993805 : CheckPoint: Validation Loss  0.00060857, Best Loss  0.00057084
2021-09-09 04:06:32.919785 : Epoch  3, Batch   3479, Loss  0.865864, Average Loss  0.869417, Time  0.461637
2021-09-09 04:06:34.815801 : Epoch  3, Batch   3480, Loss  0.859862, Average Loss  0.869440, Time  0.400731
2021-09-09 04:06:36.679093 : Epoch  3, Batch   3481, Loss  0.863255, Average Loss  0.869412, Time  0.399586
2021-09-09 04:06:38.565833 : Epoch  3, Batch   3482, Loss  0.869871, Average Loss  0.869301, Time  0.402819
2021-09-09 04:06:40.531453 : Epoch  3, Batch   3483, Loss  0.881964, Average Loss  0.869335, Time  0.487980
2021-09-09 04:06:42.476809 : Epoch  3, Batch   3484, Loss  0.875972, Average Loss  0.869357, Time  0.479285
2021-09-09 04:06:44.365856 : Epoch  3, Batch   3485, Loss  0.874114, Average Loss  0.869421, Time  0.397610
2021-09-09 04:06:46.242046 : Epoch  3, Batch   3486, Loss  0.850747, Average Loss  0.869254, Time  0.393228
2021-09-09 04:06:48.108779 : Epoch  3, Batch   3487, Loss  0.886897, Average Loss  0.869291, Time  0.399247
2021-09-09 04:06:50.057723 : Epoch  3, Batch   3488, Loss  0.893902, Average Loss  0.869463, Time  0.482977
2021-09-09 04:06:52.014945 : Epoch  3, Batch   3489, Loss  0.847991, Average Loss  0.869380, Time  0.485200
2021-09-09 04:06:53.943829 : Epoch  3, Batch   3490, Loss  0.865085, Average Loss  0.869327, Time  0.442159
2021-09-09 04:06:55.825001 : Epoch  3, Batch   3491, Loss  0.867360, Average Loss  0.869371, Time  0.399866
2021-09-09 04:06:57.709977 : Epoch  3, Batch   3492, Loss  0.887126, Average Loss  0.869437, Time  0.407789
2021-09-09 04:06:59.571881 : Epoch  3, Batch   3493, Loss  0.893710, Average Loss  0.869608, Time  0.376985
2021-09-09 04:07:01.462020 : Epoch  3, Batch   3494, Loss  0.850398, Average Loss  0.869569, Time  0.459049
2021-09-09 04:07:03.345223 : Epoch  3, Batch   3495, Loss  0.867760, Average Loss  0.869727, Time  0.444301
2021-09-09 04:07:05.138514 : Epoch  3, Batch   3496, Loss  0.863567, Average Loss  0.869847, Time  0.354392
2021-09-09 04:07:07.008860 : Epoch  3, Batch   3497, Loss  0.875739, Average Loss  0.869940, Time  0.403251
2021-09-09 04:07:08.955825 : Epoch  3, Batch   3498, Loss  0.858210, Average Loss  0.869960, Time  0.463723
2021-09-09 04:07:10.923778 : Epoch  3, Batch   3499, Loss  0.886835, Average Loss  0.870128, Time  0.487384
2021-09-09 04:07:12.878956 : Epoch  3, Batch   3500, Loss  0.870876, Average Loss  0.870018, Time  0.498169
2021-09-09 04:07:14.787115 : Epoch  3, Batch   3501, Loss  0.823429, Average Loss  0.869854, Time  0.427909
2021-09-09 04:07:16.695154 : Epoch  3, Batch   3502, Loss  0.874999, Average Loss  0.870031, Time  0.437925
2021-09-09 04:07:18.586274 : Epoch  3, Batch   3503, Loss  0.882408, Average Loss  0.870139, Time  0.411813
2021-09-09 04:07:20.555818 : Epoch  3, Batch   3504, Loss  0.858494, Average Loss  0.870103, Time  0.494228
2021-09-09 04:07:22.543018 : Epoch  3, Batch   3505, Loss  0.866028, Average Loss  0.870072, Time  0.465022
2021-09-09 04:07:24.416808 : Epoch  3, Batch   3506, Loss  0.840898, Average Loss  0.869891, Time  0.397821
2021-09-09 04:07:26.299315 : Epoch  3, Batch   3507, Loss  0.872706, Average Loss  0.870086, Time  0.399640
2021-09-09 04:07:28.172796 : Epoch  3, Batch   3508, Loss  0.859307, Average Loss  0.869948, Time  0.397700
2021-09-09 04:07:30.183789 : Epoch  3, Batch   3509, Loss  0.882190, Average Loss  0.870090, Time  0.530163
2021-09-09 04:07:32.203885 : Epoch  3, Batch   3510, Loss  0.849156, Average Loss  0.870029, Time  0.525299
2021-09-09 04:07:34.167537 : Epoch  3, Batch   3511, Loss  0.892931, Average Loss  0.870025, Time  0.482164
2021-09-09 04:07:36.055122 : Epoch  3, Batch   3512, Loss  0.883117, Average Loss  0.870108, Time  0.403780
2021-09-09 04:07:37.941872 : Epoch  3, Batch   3513, Loss  0.878031, Average Loss  0.870251, Time  0.396323
2021-09-09 04:07:39.842198 : Epoch  3, Batch   3514, Loss  0.866426, Average Loss  0.870171, Time  0.399578
2021-09-09 04:07:41.801346 : Epoch  3, Batch   3515, Loss  0.876917, Average Loss  0.870201, Time  0.489589
2021-09-09 04:07:43.743766 : Epoch  3, Batch   3516, Loss  0.906643, Average Loss  0.870390, Time  0.473418
2021-09-09 04:07:45.612461 : Epoch  3, Batch   3517, Loss  0.869323, Average Loss  0.870341, Time  0.397379
2021-09-09 04:07:47.494929 : Epoch  3, Batch   3518, Loss  0.864624, Average Loss  0.870198, Time  0.398335
2021-09-09 04:07:49.367129 : Epoch  3, Batch   3519, Loss  0.865884, Average Loss  0.870182, Time  0.399014
2021-09-09 04:07:51.321180 : Epoch  3, Batch   3520, Loss  0.890133, Average Loss  0.870366, Time  0.487285
2021-09-09 04:07:53.268890 : Epoch  3, Batch   3521, Loss  0.841783, Average Loss  0.870374, Time  0.457304
2021-09-09 04:07:55.143194 : Epoch  3, Batch   3522, Loss  0.891194, Average Loss  0.870601, Time  0.397334
2021-09-09 04:07:57.025291 : Epoch  3, Batch   3523, Loss  0.847897, Average Loss  0.870537, Time  0.399995
2021-09-09 04:07:58.915117 : Epoch  3, Batch   3524, Loss  0.881158, Average Loss  0.870566, Time  0.402524
2021-09-09 04:08:00.894736 : Epoch  3, Batch   3525, Loss  0.868983, Average Loss  0.870662, Time  0.490292
2021-09-09 04:08:02.832796 : Epoch  3, Batch   3526, Loss  0.846635, Average Loss  0.870462, Time  0.483149
2021-09-09 04:08:04.700959 : Epoch  3, Batch   3527, Loss  0.826093, Average Loss  0.870292, Time  0.398106
2021-09-09 04:08:06.586327 : Epoch  3, Batch   3528, Loss  0.871601, Average Loss  0.870312, Time  0.407790
2021-09-09 04:08:08.483718 : Epoch  3, Batch   3529, Loss  0.850840, Average Loss  0.870126, Time  0.404509
2021-09-09 04:08:10.430087 : Epoch  3, Batch   3530, Loss  0.864683, Average Loss  0.870129, Time  0.487616
2021-09-09 04:08:12.382910 : Epoch  3, Batch   3531, Loss  0.848619, Average Loss  0.870136, Time  0.482075
2021-09-09 04:08:14.276122 : Epoch  3, Batch   3532, Loss  0.831976, Average Loss  0.869988, Time  0.397808
2021-09-09 04:08:16.145148 : Epoch  3, Batch   3533, Loss  0.874057, Average Loss  0.870024, Time  0.400602
2021-09-09 04:08:18.022144 : Epoch  3, Batch   3534, Loss  0.834346, Average Loss  0.869632, Time  0.399743
2021-09-09 04:08:19.991656 : Epoch  3, Batch   3535, Loss  0.851803, Average Loss  0.869582, Time  0.485878
2021-09-09 04:08:21.938788 : Epoch  3, Batch   3536, Loss  0.870883, Average Loss  0.869615, Time  0.479587
2021-09-09 04:08:23.817274 : Epoch  3, Batch   3537, Loss  0.874629, Average Loss  0.869619, Time  0.380805
2021-09-09 04:08:25.725126 : Epoch  3, Batch   3538, Loss  0.874720, Average Loss  0.869520, Time  0.402544
2021-09-09 04:08:27.591197 : Epoch  3, Batch   3539, Loss  0.820731, Average Loss  0.869254, Time  0.397701
2021-09-09 04:08:29.571161 : Epoch  3, Batch   3540, Loss  0.877982, Average Loss  0.869290, Time  0.465422
2021-09-09 04:08:31.540908 : Epoch  3, Batch   3541, Loss  0.878193, Average Loss  0.869338, Time  0.485711
2021-09-09 04:08:33.511879 : Epoch  3, Batch   3542, Loss  0.866778, Average Loss  0.869263, Time  0.481145
2021-09-09 04:08:35.386113 : Epoch  3, Batch   3543, Loss  0.826766, Average Loss  0.869027, Time  0.400191
2021-09-09 04:08:37.253045 : Epoch  3, Batch   3544, Loss  0.829284, Average Loss  0.868756, Time  0.403939
2021-09-09 04:08:39.140261 : Epoch  3, Batch   3545, Loss  0.892368, Average Loss  0.868799, Time  0.396904
2021-09-09 04:08:41.091346 : Epoch  3, Batch   3546, Loss  0.870128, Average Loss  0.868708, Time  0.487111
2021-09-09 04:08:43.031147 : Epoch  3, Batch   3547, Loss  0.859675, Average Loss  0.868614, Time  0.474769
2021-09-09 04:08:44.824884 : Epoch  3, Batch   3548, Loss  0.859164, Average Loss  0.868663, Time  0.359754
2021-09-09 04:08:46.613309 : Epoch  3, Batch   3549, Loss  0.880582, Average Loss  0.868698, Time  0.357807
2021-09-09 04:08:48.453362 : Epoch  3, Batch   3550, Loss  0.869924, Average Loss  0.868855, Time  0.402557
2021-09-09 04:08:50.426010 : Epoch  3, Batch   3551, Loss  0.869355, Average Loss  0.868904, Time  0.486775
2021-09-09 04:08:52.383183 : Epoch  3, Batch   3552, Loss  0.865004, Average Loss  0.868825, Time  0.484191
2021-09-09 04:08:54.272045 : Epoch  3, Batch   3553, Loss  0.849162, Average Loss  0.868736, Time  0.402160
2021-09-09 04:08:56.128786 : Epoch  3, Batch   3554, Loss  0.885377, Average Loss  0.868992, Time  0.399365
2021-09-09 04:08:57.979695 : Epoch  3, Batch   3555, Loss  0.873604, Average Loss  0.869033, Time  0.396872
2021-09-09 04:08:59.937486 : Epoch  3, Batch   3556, Loss  0.862351, Average Loss  0.868990, Time  0.488812
2021-09-09 04:09:01.906122 : Epoch  3, Batch   3557, Loss  0.859155, Average Loss  0.868878, Time  0.479847
2021-09-09 04:09:03.789150 : Epoch  3, Batch   3558, Loss  0.885692, Average Loss  0.868838, Time  0.398598
2021-09-09 04:09:05.666275 : Epoch  3, Batch   3559, Loss  0.881054, Average Loss  0.869077, Time  0.394005
2021-09-09 04:09:07.526085 : Epoch  3, Batch   3560, Loss  0.893828, Average Loss  0.869172, Time  0.398391
2021-09-09 04:09:09.481597 : Epoch  3, Batch   3561, Loss  0.857055, Average Loss  0.869117, Time  0.489951
2021-09-09 04:09:11.502811 : Epoch  3, Batch   3562, Loss  0.884137, Average Loss  0.869171, Time  0.489538
2021-09-09 04:09:13.445090 : Epoch  3, Batch   3563, Loss  0.866052, Average Loss  0.869183, Time  0.479594
2021-09-09 04:09:15.321269 : Epoch  3, Batch   3564, Loss  0.878006, Average Loss  0.869245, Time  0.408839
2021-09-09 04:09:17.213827 : Epoch  3, Batch   3565, Loss  0.918692, Average Loss  0.869399, Time  0.400841
2021-09-09 04:09:19.048698 : Epoch  3, Batch   3566, Loss  0.878773, Average Loss  0.869393, Time  0.381877
2021-09-09 04:09:21.001446 : Epoch  3, Batch   3567, Loss  0.869072, Average Loss  0.869290, Time  0.482004
2021-09-09 04:09:22.862137 : Epoch  3, Batch   3568, Loss  0.883810, Average Loss  0.869365, Time  0.389291
2021-09-09 04:09:24.727468 : Epoch  3, Batch   3569, Loss  0.870387, Average Loss  0.869472, Time  0.402861
2021-09-09 04:09:26.605007 : Epoch  3, Batch   3570, Loss  0.858561, Average Loss  0.869581, Time  0.399258
2021-09-09 04:09:28.588369 : Epoch  3, Batch   3571, Loss  0.886393, Average Loss  0.869670, Time  0.467896
2021-09-09 04:09:30.532782 : Epoch  3, Batch   3572, Loss  0.876444, Average Loss  0.869680, Time  0.471608
2021-09-09 04:09:32.399970 : Epoch  3, Batch   3573, Loss  0.869861, Average Loss  0.869621, Time  0.401480
2021-09-09 04:09:34.302839 : Epoch  3, Batch   3574, Loss  0.884426, Average Loss  0.869803, Time  0.397500
2021-09-09 04:09:36.152232 : Epoch  3, Batch   3575, Loss  0.862943, Average Loss  0.869651, Time  0.395943
2021-09-09 04:09:38.100699 : Epoch  3, Batch   3576, Loss  0.894629, Average Loss  0.869629, Time  0.453001
2021-09-09 04:09:40.143907 : Epoch  3, Batch   3577, Loss  0.879021, Average Loss  0.869542, Time  0.482902
2021-09-09 04:09:47.556211 : Epoch  3, Batch   3578, Loss  0.875821, Average Loss  0.869386, Time  0.380700
2021-09-09 04:14:41.227713 : CheckPoint: Validation Loss  0.00058124, Best Loss  0.00057084
2021-09-09 04:14:43.041379 : Epoch  3, Batch   3579, Loss  0.845611, Average Loss  0.869131, Time  0.377299
2021-09-09 04:14:44.927849 : Epoch  3, Batch   3580, Loss  0.870304, Average Loss  0.869068, Time  0.406846
2021-09-09 04:14:46.882158 : Epoch  3, Batch   3581, Loss  0.847545, Average Loss  0.869040, Time  0.482467
2021-09-09 04:14:48.879785 : Epoch  3, Batch   3582, Loss  0.881855, Average Loss  0.869045, Time  0.483242
2021-09-09 04:14:50.751011 : Epoch  3, Batch   3583, Loss  0.859106, Average Loss  0.869048, Time  0.398856
2021-09-09 04:14:52.628162 : Epoch  3, Batch   3584, Loss  0.864883, Average Loss  0.869077, Time  0.396509
2021-09-09 04:14:54.507060 : Epoch  3, Batch   3585, Loss  0.855120, Average Loss  0.869083, Time  0.400084
2021-09-09 04:14:56.383689 : Epoch  3, Batch   3586, Loss  0.863030, Average Loss  0.868967, Time  0.447911
2021-09-09 04:14:58.345842 : Epoch  3, Batch   3587, Loss  0.866681, Average Loss  0.868845, Time  0.449118
2021-09-09 04:15:00.169819 : Epoch  3, Batch   3588, Loss  0.878833, Average Loss  0.868828, Time  0.379571
2021-09-09 04:15:01.973784 : Epoch  3, Batch   3589, Loss  0.849903, Average Loss  0.868829, Time  0.368572
2021-09-09 04:15:03.859557 : Epoch  3, Batch   3590, Loss  0.856218, Average Loss  0.868943, Time  0.400431
2021-09-09 04:15:05.827778 : Epoch  3, Batch   3591, Loss  0.866483, Average Loss  0.868793, Time  0.486756
2021-09-09 04:15:07.786566 : Epoch  3, Batch   3592, Loss  0.891394, Average Loss  0.868858, Time  0.484855
2021-09-09 04:15:09.666231 : Epoch  3, Batch   3593, Loss  0.888476, Average Loss  0.869009, Time  0.405765
2021-09-09 04:15:11.542835 : Epoch  3, Batch   3594, Loss  0.887793, Average Loss  0.869101, Time  0.401175
2021-09-09 04:15:13.419783 : Epoch  3, Batch   3595, Loss  0.850189, Average Loss  0.869041, Time  0.400141
2021-09-09 04:15:15.384802 : Epoch  3, Batch   3596, Loss  0.847285, Average Loss  0.868891, Time  0.490490
2021-09-09 04:15:17.337785 : Epoch  3, Batch   3597, Loss  0.849539, Average Loss  0.868646, Time  0.486172
2021-09-09 04:15:19.226829 : Epoch  3, Batch   3598, Loss  0.867945, Average Loss  0.868719, Time  0.394562
2021-09-09 04:15:21.107849 : Epoch  3, Batch   3599, Loss  0.826916, Average Loss  0.868571, Time  0.399102
2021-09-09 04:15:22.988941 : Epoch  3, Batch   3600, Loss  0.839543, Average Loss  0.868485, Time  0.405132
2021-09-09 04:15:24.953786 : Epoch  3, Batch   3601, Loss  0.876770, Average Loss  0.868634, Time  0.469768
2021-09-09 04:15:26.921784 : Epoch  3, Batch   3602, Loss  0.902656, Average Loss  0.868795, Time  0.476184
2021-09-09 04:15:28.804130 : Epoch  3, Batch   3603, Loss  0.906268, Average Loss  0.868822, Time  0.400001
2021-09-09 04:15:30.671985 : Epoch  3, Batch   3604, Loss  0.861977, Average Loss  0.868859, Time  0.401804
2021-09-09 04:15:32.541783 : Epoch  3, Batch   3605, Loss  0.885364, Average Loss  0.869002, Time  0.397473
2021-09-09 04:15:34.501803 : Epoch  3, Batch   3606, Loss  0.861808, Average Loss  0.869020, Time  0.488073
2021-09-09 04:15:36.467783 : Epoch  3, Batch   3607, Loss  0.862721, Average Loss  0.869072, Time  0.485288
2021-09-09 04:15:38.452406 : Epoch  3, Batch   3608, Loss  0.854393, Average Loss  0.869048, Time  0.456752
2021-09-09 04:15:40.336801 : Epoch  3, Batch   3609, Loss  0.847771, Average Loss  0.869058, Time  0.404782
2021-09-09 04:15:42.235268 : Epoch  3, Batch   3610, Loss  0.899297, Average Loss  0.869180, Time  0.404626
2021-09-09 04:15:44.094777 : Epoch  3, Batch   3611, Loss  0.876109, Average Loss  0.869223, Time  0.396266
2021-09-09 04:15:46.072206 : Epoch  3, Batch   3612, Loss  0.898710, Average Loss  0.869241, Time  0.497044
2021-09-09 04:15:48.025785 : Epoch  3, Batch   3613, Loss  0.869803, Average Loss  0.869341, Time  0.483292
2021-09-09 04:15:49.892197 : Epoch  3, Batch   3614, Loss  0.862434, Average Loss  0.869329, Time  0.398233
2021-09-09 04:15:51.763808 : Epoch  3, Batch   3615, Loss  0.852836, Average Loss  0.869225, Time  0.405063
2021-09-09 04:15:53.562804 : Epoch  3, Batch   3616, Loss  0.863816, Average Loss  0.869212, Time  0.360403
2021-09-09 04:15:55.474252 : Epoch  3, Batch   3617, Loss  0.889767, Average Loss  0.869431, Time  0.468714
2021-09-09 04:15:57.271771 : Epoch  3, Batch   3618, Loss  0.875290, Average Loss  0.869314, Time  0.371833
2021-09-09 04:15:59.093171 : Epoch  3, Batch   3619, Loss  0.862815, Average Loss  0.869367, Time  0.369528
2021-09-09 04:16:00.900840 : Epoch  3, Batch   3620, Loss  0.860516, Average Loss  0.869364, Time  0.362398
2021-09-09 04:16:02.845977 : Epoch  3, Batch   3621, Loss  0.874414, Average Loss  0.869215, Time  0.453270
2021-09-09 04:16:04.737796 : Epoch  3, Batch   3622, Loss  0.876041, Average Loss  0.869233, Time  0.444409
2021-09-09 04:16:06.574993 : Epoch  3, Batch   3623, Loss  0.883712, Average Loss  0.869073, Time  0.378734
2021-09-09 04:16:08.369780 : Epoch  3, Batch   3624, Loss  0.877915, Average Loss  0.869015, Time  0.373369
2021-09-09 04:16:10.223918 : Epoch  3, Batch   3625, Loss  0.853281, Average Loss  0.868996, Time  0.392305
2021-09-09 04:16:12.117156 : Epoch  3, Batch   3626, Loss  0.880308, Average Loss  0.868958, Time  0.460424
2021-09-09 04:16:13.961014 : Epoch  3, Batch   3627, Loss  0.914036, Average Loss  0.869130, Time  0.409105
2021-09-09 04:16:15.835897 : Epoch  3, Batch   3628, Loss  0.832524, Average Loss  0.868955, Time  0.398746
2021-09-09 04:16:17.733856 : Epoch  3, Batch   3629, Loss  0.844353, Average Loss  0.868832, Time  0.408356
2021-09-09 04:16:19.655797 : Epoch  3, Batch   3630, Loss  0.899865, Average Loss  0.868959, Time  0.431790
2021-09-09 04:16:21.673736 : Epoch  3, Batch   3631, Loss  0.846702, Average Loss  0.868811, Time  0.484437
2021-09-09 04:16:23.629074 : Epoch  3, Batch   3632, Loss  0.878520, Average Loss  0.868843, Time  0.484056
2021-09-09 04:16:25.489141 : Epoch  3, Batch   3633, Loss  0.866078, Average Loss  0.868880, Time  0.383830
2021-09-09 04:16:27.400394 : Epoch  3, Batch   3634, Loss  0.888937, Average Loss  0.868860, Time  0.436791
2021-09-09 04:16:29.285008 : Epoch  3, Batch   3635, Loss  0.900777, Average Loss  0.869073, Time  0.417986
2021-09-09 04:16:31.213852 : Epoch  3, Batch   3636, Loss  0.879618, Average Loss  0.869101, Time  0.462666
2021-09-09 04:16:33.196175 : Epoch  3, Batch   3637, Loss  0.864791, Average Loss  0.869039, Time  0.485897
2021-09-09 04:16:35.256283 : Epoch  3, Batch   3638, Loss  0.860484, Average Loss  0.868919, Time  0.573380
2021-09-09 04:16:37.167776 : Epoch  3, Batch   3639, Loss  0.867493, Average Loss  0.868823, Time  0.434431
2021-09-09 04:16:38.944797 : Epoch  3, Batch   3640, Loss  0.865119, Average Loss  0.868766, Time  0.352821
2021-09-09 04:16:40.786795 : Epoch  3, Batch   3641, Loss  0.861547, Average Loss  0.868655, Time  0.357270
2021-09-09 04:16:42.670288 : Epoch  3, Batch   3642, Loss  0.880404, Average Loss  0.868632, Time  0.420051
2021-09-09 04:16:44.667781 : Epoch  3, Batch   3643, Loss  0.878758, Average Loss  0.868800, Time  0.490119
2021-09-09 04:16:46.612293 : Epoch  3, Batch   3644, Loss  0.895376, Average Loss  0.868928, Time  0.481357
2021-09-09 04:16:48.505805 : Epoch  3, Batch   3645, Loss  0.861497, Average Loss  0.868829, Time  0.406611
2021-09-09 04:16:50.419841 : Epoch  3, Batch   3646, Loss  0.876666, Average Loss  0.868927, Time  0.398031
2021-09-09 04:16:52.302166 : Epoch  3, Batch   3647, Loss  0.883746, Average Loss  0.868912, Time  0.391397
2021-09-09 04:16:54.308780 : Epoch  3, Batch   3648, Loss  0.910143, Average Loss  0.869172, Time  0.484243
2021-09-09 04:16:56.174803 : Epoch  3, Batch   3649, Loss  0.833491, Average Loss  0.868839, Time  0.376514
2021-09-09 04:16:58.006067 : Epoch  3, Batch   3650, Loss  0.870655, Average Loss  0.868974, Time  0.355932
2021-09-09 04:16:59.862842 : Epoch  3, Batch   3651, Loss  0.840429, Average Loss  0.868916, Time  0.365668
2021-09-09 04:17:01.810296 : Epoch  3, Batch   3652, Loss  0.877657, Average Loss  0.868890, Time  0.488599
2021-09-09 04:17:03.736158 : Epoch  3, Batch   3653, Loss  0.832644, Average Loss  0.868656, Time  0.470787
2021-09-09 04:17:05.598825 : Epoch  3, Batch   3654, Loss  0.842309, Average Loss  0.868678, Time  0.400298
2021-09-09 04:17:07.486194 : Epoch  3, Batch   3655, Loss  0.875203, Average Loss  0.868703, Time  0.397499
2021-09-09 04:17:09.359777 : Epoch  3, Batch   3656, Loss  0.841924, Average Loss  0.868728, Time  0.396389
2021-09-09 04:17:11.304235 : Epoch  3, Batch   3657, Loss  0.892109, Average Loss  0.868786, Time  0.487662
2021-09-09 04:17:13.157780 : Epoch  3, Batch   3658, Loss  0.835602, Average Loss  0.868592, Time  0.382667
2021-09-09 04:17:15.025879 : Epoch  3, Batch   3659, Loss  0.863950, Average Loss  0.868603, Time  0.398175
2021-09-09 04:17:16.887200 : Epoch  3, Batch   3660, Loss  0.839723, Average Loss  0.868451, Time  0.398541
2021-09-09 04:17:18.897009 : Epoch  3, Batch   3661, Loss  0.853087, Average Loss  0.868444, Time  0.463834
2021-09-09 04:17:20.848782 : Epoch  3, Batch   3662, Loss  0.886932, Average Loss  0.868413, Time  0.484420
2021-09-09 04:17:22.731918 : Epoch  3, Batch   3663, Loss  0.866154, Average Loss  0.868211, Time  0.419902
2021-09-09 04:17:24.592697 : Epoch  3, Batch   3664, Loss  0.857832, Average Loss  0.868153, Time  0.397575
2021-09-09 04:17:26.463827 : Epoch  3, Batch   3665, Loss  0.883807, Average Loss  0.868320, Time  0.406070
2021-09-09 04:17:28.390802 : Epoch  3, Batch   3666, Loss  0.834920, Average Loss  0.868377, Time  0.452449
2021-09-09 04:17:30.376763 : Epoch  3, Batch   3667, Loss  0.902967, Average Loss  0.868618, Time  0.503796
2021-09-09 04:17:32.346236 : Epoch  3, Batch   3668, Loss  0.858333, Average Loss  0.868519, Time  0.485538
2021-09-09 04:17:34.150328 : Epoch  3, Batch   3669, Loss  0.857788, Average Loss  0.868464, Time  0.359135
2021-09-09 04:17:36.004832 : Epoch  3, Batch   3670, Loss  0.853445, Average Loss  0.868546, Time  0.400320
2021-09-09 04:17:37.876142 : Epoch  3, Batch   3671, Loss  0.883559, Average Loss  0.868603, Time  0.395763
2021-09-09 04:17:39.832192 : Epoch  3, Batch   3672, Loss  0.873852, Average Loss  0.868487, Time  0.489973
2021-09-09 04:17:41.780249 : Epoch  3, Batch   3673, Loss  0.843359, Average Loss  0.868393, Time  0.476255
2021-09-09 04:17:43.683239 : Epoch  3, Batch   3674, Loss  0.859619, Average Loss  0.868277, Time  0.397725
2021-09-09 04:17:45.545829 : Epoch  3, Batch   3675, Loss  0.864974, Average Loss  0.868222, Time  0.401552
2021-09-09 04:17:47.399232 : Epoch  3, Batch   3676, Loss  0.851875, Average Loss  0.868169, Time  0.394228
2021-09-09 04:17:49.376796 : Epoch  3, Batch   3677, Loss  0.848772, Average Loss  0.867985, Time  0.486606
2021-09-09 04:17:51.305195 : Epoch  3, Batch   3678, Loss  0.859878, Average Loss  0.867893, Time  0.457291
2021-09-09 04:22:46.130383 : CheckPoint: Validation Loss  0.00061346, Best Loss  0.00057084
2021-09-09 04:22:47.972783 : Epoch  3, Batch   3679, Loss  0.867504, Average Loss  0.867901, Time  0.376034
2021-09-09 04:22:49.874041 : Epoch  3, Batch   3680, Loss  0.867857, Average Loss  0.867941, Time  0.455994
2021-09-09 04:22:51.868823 : Epoch  3, Batch   3681, Loss  0.856809, Average Loss  0.867909, Time  0.449252
2021-09-09 04:22:53.720773 : Epoch  3, Batch   3682, Loss  0.851707, Average Loss  0.867818, Time  0.372710
2021-09-09 04:22:55.554228 : Epoch  3, Batch   3683, Loss  0.847049, Average Loss  0.867644, Time  0.360029
2021-09-09 04:22:57.383526 : Epoch  3, Batch   3684, Loss  0.890177, Average Loss  0.867715, Time  0.385458
2021-09-09 04:22:59.298892 : Epoch  3, Batch   3685, Loss  0.847931, Average Loss  0.867584, Time  0.468310
2021-09-09 04:23:01.130020 : Epoch  3, Batch   3686, Loss  0.876620, Average Loss  0.867713, Time  0.384822
2021-09-09 04:23:02.964988 : Epoch  3, Batch   3687, Loss  0.862169, Average Loss  0.867589, Time  0.368747
2021-09-09 04:23:04.894804 : Epoch  3, Batch   3688, Loss  0.845357, Average Loss  0.867347, Time  0.414869
2021-09-09 04:23:06.822944 : Epoch  3, Batch   3689, Loss  0.870884, Average Loss  0.867461, Time  0.449095
2021-09-09 04:23:08.843436 : Epoch  3, Batch   3690, Loss  0.862083, Average Loss  0.867446, Time  0.513858
2021-09-09 04:23:10.811475 : Epoch  3, Batch   3691, Loss  0.856293, Average Loss  0.867391, Time  0.493261
2021-09-09 04:23:12.671327 : Epoch  3, Batch   3692, Loss  0.859977, Average Loss  0.867255, Time  0.394492
2021-09-09 04:23:14.527996 : Epoch  3, Batch   3693, Loss  0.867964, Average Loss  0.867126, Time  0.397425
2021-09-09 04:23:16.331365 : Epoch  3, Batch   3694, Loss  0.888409, Average Loss  0.867316, Time  0.362032
2021-09-09 04:23:18.296798 : Epoch  3, Batch   3695, Loss  0.872401, Average Loss  0.867340, Time  0.488745
2021-09-09 04:23:20.238742 : Epoch  3, Batch   3696, Loss  0.901766, Average Loss  0.867531, Time  0.482431
2021-09-09 04:23:22.280051 : Epoch  3, Batch   3697, Loss  0.882222, Average Loss  0.867563, Time  0.481205
2021-09-09 04:23:24.148951 : Epoch  3, Batch   3698, Loss  0.881300, Average Loss  0.867678, Time  0.400002
2021-09-09 04:23:26.028827 : Epoch  3, Batch   3699, Loss  0.853773, Average Loss  0.867513, Time  0.403919
2021-09-09 04:23:27.912934 : Epoch  3, Batch   3700, Loss  0.866571, Average Loss  0.867492, Time  0.396118
2021-09-09 04:23:29.903158 : Epoch  3, Batch   3701, Loss  0.905642, Average Loss  0.867903, Time  0.488451
2021-09-09 04:23:31.884479 : Epoch  3, Batch   3702, Loss  0.860837, Average Loss  0.867832, Time  0.486034
2021-09-09 04:23:33.778121 : Epoch  3, Batch   3703, Loss  0.864100, Average Loss  0.867740, Time  0.404346
2021-09-09 04:23:35.680218 : Epoch  3, Batch   3704, Loss  0.898647, Average Loss  0.867941, Time  0.426567
2021-09-09 04:23:37.581958 : Epoch  3, Batch   3705, Loss  0.868208, Average Loss  0.867952, Time  0.418669
2021-09-09 04:23:39.555513 : Epoch  3, Batch   3706, Loss  0.861918, Average Loss  0.868057, Time  0.494144
2021-09-09 04:23:41.555799 : Epoch  3, Batch   3707, Loss  0.869529, Average Loss  0.868041, Time  0.498220
2021-09-09 04:23:43.515788 : Epoch  3, Batch   3708, Loss  0.862077, Average Loss  0.868055, Time  0.479803
2021-09-09 04:23:45.415965 : Epoch  3, Batch   3709, Loss  0.889361, Average Loss  0.868091, Time  0.423660
2021-09-09 04:23:47.252785 : Epoch  3, Batch   3710, Loss  0.877677, Average Loss  0.868234, Time  0.358091
2021-09-09 04:23:49.055306 : Epoch  3, Batch   3711, Loss  0.883786, Average Loss  0.868188, Time  0.385304
2021-09-09 04:23:49.091617 : Saving Model after 3-th Epoch.
2021-09-09 04:23:53.129690 : Epoch Finished.
2021-09-09 04:23:58.718712 : Batch Shuffled
2021-09-09 04:24:00.524300 : Epoch  4, Batch      1, Loss  0.875082, Average Loss  0.868148, Time  0.369687
2021-09-09 04:24:02.403859 : Epoch  4, Batch      2, Loss  0.868220, Average Loss  0.868099, Time  0.453305
2021-09-09 04:24:04.289368 : Epoch  4, Batch      3, Loss  0.868209, Average Loss  0.868108, Time  0.458148
2021-09-09 04:24:06.122812 : Epoch  4, Batch      4, Loss  0.848338, Average Loss  0.867965, Time  0.362764
2021-09-09 04:24:07.939973 : Epoch  4, Batch      5, Loss  0.877738, Average Loss  0.867820, Time  0.359071
2021-09-09 04:24:09.888280 : Epoch  4, Batch      6, Loss  0.863999, Average Loss  0.867793, Time  0.454095
2021-09-09 04:24:11.810175 : Epoch  4, Batch      7, Loss  0.866004, Average Loss  0.867800, Time  0.460855
2021-09-09 04:24:13.600789 : Epoch  4, Batch      8, Loss  0.881394, Average Loss  0.867878, Time  0.356718
2021-09-09 04:24:15.378160 : Epoch  4, Batch      9, Loss  0.867792, Average Loss  0.867766, Time  0.363332
2021-09-09 04:24:17.194941 : Epoch  4, Batch     10, Loss  0.868423, Average Loss  0.867899, Time  0.365171
2021-09-09 04:24:19.082305 : Epoch  4, Batch     11, Loss  0.861773, Average Loss  0.867752, Time  0.462870
2021-09-09 04:24:21.071213 : Epoch  4, Batch     12, Loss  0.845770, Average Loss  0.867742, Time  0.475649
2021-09-09 04:24:22.961337 : Epoch  4, Batch     13, Loss  0.847993, Average Loss  0.867576, Time  0.399634
2021-09-09 04:24:24.806773 : Epoch  4, Batch     14, Loss  0.860322, Average Loss  0.867533, Time  0.367734
2021-09-09 04:24:26.692363 : Epoch  4, Batch     15, Loss  0.860827, Average Loss  0.867604, Time  0.356158
2021-09-09 04:24:28.649780 : Epoch  4, Batch     16, Loss  0.878056, Average Loss  0.867863, Time  0.461902
2021-09-09 04:24:30.542373 : Epoch  4, Batch     17, Loss  0.845696, Average Loss  0.867734, Time  0.466456
2021-09-09 04:24:32.365122 : Epoch  4, Batch     18, Loss  0.825107, Average Loss  0.867605, Time  0.356748
2021-09-09 04:24:34.174493 : Epoch  4, Batch     19, Loss  0.890000, Average Loss  0.867732, Time  0.358323
2021-09-09 04:24:36.022787 : Epoch  4, Batch     20, Loss  0.893408, Average Loss  0.867956, Time  0.359562
2021-09-09 04:24:37.914222 : Epoch  4, Batch     21, Loss  0.837688, Average Loss  0.867984, Time  0.453205
2021-09-09 04:24:39.799354 : Epoch  4, Batch     22, Loss  0.863986, Average Loss  0.867934, Time  0.419858
2021-09-09 04:24:41.599141 : Epoch  4, Batch     23, Loss  0.860867, Average Loss  0.868066, Time  0.359031
2021-09-09 04:24:43.394935 : Epoch  4, Batch     24, Loss  0.875276, Average Loss  0.868184, Time  0.361920
2021-09-09 04:24:45.251679 : Epoch  4, Batch     25, Loss  0.863338, Average Loss  0.868146, Time  0.414866
2021-09-09 04:24:47.146798 : Epoch  4, Batch     26, Loss  0.858804, Average Loss  0.868067, Time  0.455083
2021-09-09 04:24:48.933531 : Epoch  4, Batch     27, Loss  0.884733, Average Loss  0.868117, Time  0.336013
2021-09-09 04:24:50.745240 : Epoch  4, Batch     28, Loss  0.869289, Average Loss  0.868360, Time  0.357019
2021-09-09 04:24:52.539149 : Epoch  4, Batch     29, Loss  0.890599, Average Loss  0.868423, Time  0.359061
2021-09-09 04:24:54.611778 : Epoch  4, Batch     30, Loss  0.849085, Average Loss  0.868277, Time  0.526562
2021-09-09 04:24:56.661059 : Epoch  4, Batch     31, Loss  0.873890, Average Loss  0.868313, Time  0.511054
2021-09-09 04:24:58.606267 : Epoch  4, Batch     32, Loss  0.865104, Average Loss  0.868505, Time  0.455484
2021-09-09 04:25:00.400354 : Epoch  4, Batch     33, Loss  0.867217, Average Loss  0.868694, Time  0.362483
2021-09-09 04:25:02.196141 : Epoch  4, Batch     34, Loss  0.873774, Average Loss  0.868601, Time  0.356957
2021-09-09 04:25:04.122207 : Epoch  4, Batch     35, Loss  0.864136, Average Loss  0.868571, Time  0.442042
2021-09-09 04:25:06.099802 : Epoch  4, Batch     36, Loss  0.879198, Average Loss  0.868669, Time  0.505099
2021-09-09 04:25:08.098395 : Epoch  4, Batch     37, Loss  0.877271, Average Loss  0.868760, Time  0.482272
2021-09-09 04:25:09.951820 : Epoch  4, Batch     38, Loss  0.877345, Average Loss  0.868743, Time  0.386809
2021-09-09 04:25:11.803161 : Epoch  4, Batch     39, Loss  0.885142, Average Loss  0.868819, Time  0.396733
2021-09-09 04:25:13.672298 : Epoch  4, Batch     40, Loss  0.873105, Average Loss  0.868838, Time  0.397952
2021-09-09 04:25:15.622403 : Epoch  4, Batch     41, Loss  0.871526, Average Loss  0.868871, Time  0.476856
2021-09-09 04:25:17.574687 : Epoch  4, Batch     42, Loss  0.857233, Average Loss  0.868911, Time  0.486741
2021-09-09 04:25:19.420842 : Epoch  4, Batch     43, Loss  0.872092, Average Loss  0.868845, Time  0.428160
2021-09-09 04:25:21.239334 : Epoch  4, Batch     44, Loss  0.859664, Average Loss  0.868775, Time  0.364733
2021-09-09 04:25:23.072710 : Epoch  4, Batch     45, Loss  0.912566, Average Loss  0.869026, Time  0.364620
2021-09-09 04:25:24.984792 : Epoch  4, Batch     46, Loss  0.868113, Average Loss  0.869071, Time  0.411432
2021-09-09 04:25:26.922784 : Epoch  4, Batch     47, Loss  0.859054, Average Loss  0.868938, Time  0.457089
2021-09-09 04:25:28.954085 : Epoch  4, Batch     48, Loss  0.865297, Average Loss  0.868859, Time  0.485915
2021-09-09 04:25:30.807777 : Epoch  4, Batch     49, Loss  0.863686, Average Loss  0.868708, Time  0.396811
2021-09-09 04:25:32.675820 : Epoch  4, Batch     50, Loss  0.842075, Average Loss  0.868633, Time  0.397928
2021-09-09 04:25:34.545799 : Epoch  4, Batch     51, Loss  0.913024, Average Loss  0.868778, Time  0.396733
2021-09-09 04:25:36.496312 : Epoch  4, Batch     52, Loss  0.886752, Average Loss  0.868881, Time  0.490616
2021-09-09 04:25:38.470651 : Epoch  4, Batch     53, Loss  0.880207, Average Loss  0.868892, Time  0.504440
2021-09-09 04:25:40.334101 : Epoch  4, Batch     54, Loss  0.880434, Average Loss  0.868701, Time  0.405937
2021-09-09 04:25:42.154924 : Epoch  4, Batch     55, Loss  0.869755, Average Loss  0.868656, Time  0.367052
2021-09-09 04:25:43.973347 : Epoch  4, Batch     56, Loss  0.871964, Average Loss  0.868670, Time  0.369821
2021-09-09 04:25:45.867107 : Epoch  4, Batch     57, Loss  0.860293, Average Loss  0.868553, Time  0.474634
2021-09-09 04:25:47.802161 : Epoch  4, Batch     58, Loss  0.859076, Average Loss  0.868496, Time  0.464595
2021-09-09 04:25:49.608956 : Epoch  4, Batch     59, Loss  0.866444, Average Loss  0.868536, Time  0.358016
2021-09-09 04:25:51.385154 : Epoch  4, Batch     60, Loss  0.879342, Average Loss  0.868500, Time  0.343086
2021-09-09 04:25:53.246289 : Epoch  4, Batch     61, Loss  0.885980, Average Loss  0.868548, Time  0.426270
2021-09-09 04:25:55.166638 : Epoch  4, Batch     62, Loss  0.869740, Average Loss  0.868547, Time  0.453675
2021-09-09 04:25:57.125115 : Epoch  4, Batch     63, Loss  0.834944, Average Loss  0.868300, Time  0.477492
2021-09-09 04:25:59.050782 : Epoch  4, Batch     64, Loss  0.867395, Average Loss  0.868322, Time  0.398713
2021-09-09 04:26:00.906921 : Epoch  4, Batch     65, Loss  0.847217, Average Loss  0.868085, Time  0.396301
2021-09-09 04:26:02.777839 : Epoch  4, Batch     66, Loss  0.872815, Average Loss  0.868054, Time  0.397881
2021-09-09 04:26:04.741053 : Epoch  4, Batch     67, Loss  0.843780, Average Loss  0.867894, Time  0.490152
2021-09-09 04:31:01.402731 : CheckPoint: Validation Loss  0.00059888, Best Loss  0.00057084
2021-09-09 04:31:03.186773 : Epoch  4, Batch     68, Loss  0.876066, Average Loss  0.868046, Time  0.362334
2021-09-09 04:31:05.069782 : Epoch  4, Batch     69, Loss  0.877967, Average Loss  0.868085, Time  0.397831
2021-09-09 04:31:06.935067 : Epoch  4, Batch     70, Loss  0.843743, Average Loss  0.868066, Time  0.397565
2021-09-09 04:31:08.901702 : Epoch  4, Batch     71, Loss  0.860271, Average Loss  0.867958, Time  0.486214
2021-09-09 04:31:10.844794 : Epoch  4, Batch     72, Loss  0.892134, Average Loss  0.868123, Time  0.484935
2021-09-09 04:31:12.701847 : Epoch  4, Batch     73, Loss  0.858722, Average Loss  0.868092, Time  0.399053
2021-09-09 04:31:14.564776 : Epoch  4, Batch     74, Loss  0.853780, Average Loss  0.868085, Time  0.397636
2021-09-09 04:31:16.429790 : Epoch  4, Batch     75, Loss  0.868506, Average Loss  0.868113, Time  0.401834
2021-09-09 04:31:18.378010 : Epoch  4, Batch     76, Loss  0.868784, Average Loss  0.868123, Time  0.456201
2021-09-09 04:31:20.367790 : Epoch  4, Batch     77, Loss  0.895152, Average Loss  0.868205, Time  0.511791
2021-09-09 04:31:22.338830 : Epoch  4, Batch     78, Loss  0.870368, Average Loss  0.868307, Time  0.491058
2021-09-09 04:31:24.255781 : Epoch  4, Batch     79, Loss  0.866642, Average Loss  0.868359, Time  0.397855
2021-09-09 04:31:26.128794 : Epoch  4, Batch     80, Loss  0.859856, Average Loss  0.868326, Time  0.410383
2021-09-09 04:31:28.014823 : Epoch  4, Batch     81, Loss  0.838876, Average Loss  0.868063, Time  0.407895
2021-09-09 04:31:29.991776 : Epoch  4, Batch     82, Loss  0.871963, Average Loss  0.867981, Time  0.508693
2021-09-09 04:31:31.950021 : Epoch  4, Batch     83, Loss  0.871080, Average Loss  0.867897, Time  0.481038
2021-09-09 04:31:33.832802 : Epoch  4, Batch     84, Loss  0.872903, Average Loss  0.868011, Time  0.397096
2021-09-09 04:31:35.704937 : Epoch  4, Batch     85, Loss  0.894897, Average Loss  0.868249, Time  0.397122
2021-09-09 04:31:37.602779 : Epoch  4, Batch     86, Loss  0.864406, Average Loss  0.868323, Time  0.397118
2021-09-09 04:31:39.566181 : Epoch  4, Batch     87, Loss  0.870244, Average Loss  0.868335, Time  0.499493
2021-09-09 04:31:41.454818 : Epoch  4, Batch     88, Loss  0.857417, Average Loss  0.868487, Time  0.462332
2021-09-09 04:31:43.267097 : Epoch  4, Batch     89, Loss  0.873055, Average Loss  0.868655, Time  0.358624
2021-09-09 04:31:45.086791 : Epoch  4, Batch     90, Loss  0.886524, Average Loss  0.868704, Time  0.361856
2021-09-09 04:31:46.882712 : Epoch  4, Batch     91, Loss  0.858505, Average Loss  0.868483, Time  0.370485
2021-09-09 04:31:48.838178 : Epoch  4, Batch     92, Loss  0.880283, Average Loss  0.868353, Time  0.486226
2021-09-09 04:31:50.797847 : Epoch  4, Batch     93, Loss  0.874807, Average Loss  0.868417, Time  0.484353
2021-09-09 04:31:52.700792 : Epoch  4, Batch     94, Loss  0.856854, Average Loss  0.868275, Time  0.399990
2021-09-09 04:31:54.686812 : Epoch  4, Batch     95, Loss  0.875675, Average Loss  0.868344, Time  0.405484
2021-09-09 04:31:56.487008 : Epoch  4, Batch     96, Loss  0.845785, Average Loss  0.868259, Time  0.357884
2021-09-09 04:31:58.552826 : Epoch  4, Batch     97, Loss  0.898811, Average Loss  0.868481, Time  0.503017
2021-09-09 04:32:00.461173 : Epoch  4, Batch     98, Loss  0.888578, Average Loss  0.868685, Time  0.462355
2021-09-09 04:32:02.292037 : Epoch  4, Batch     99, Loss  0.851518, Average Loss  0.868446, Time  0.365154
2021-09-09 04:32:04.202870 : Epoch  4, Batch    100, Loss  0.847981, Average Loss  0.868306, Time  0.400990
2021-09-09 04:32:06.094893 : Epoch  4, Batch    101, Loss  0.868017, Average Loss  0.868152, Time  0.396329
2021-09-09 04:32:08.063793 : Epoch  4, Batch    102, Loss  0.876693, Average Loss  0.868187, Time  0.491727
2021-09-09 04:32:10.015841 : Epoch  4, Batch    103, Loss  0.899634, Average Loss  0.868373, Time  0.485843
2021-09-09 04:32:11.968831 : Epoch  4, Batch    104, Loss  0.834139, Average Loss  0.868279, Time  0.468849
2021-09-09 04:32:13.844948 : Epoch  4, Batch    105, Loss  0.895306, Average Loss  0.868437, Time  0.401567
2021-09-09 04:32:15.717839 : Epoch  4, Batch    106, Loss  0.893995, Average Loss  0.868458, Time  0.397961
2021-09-09 04:32:17.593984 : Epoch  4, Batch    107, Loss  0.861749, Average Loss  0.868390, Time  0.407308
2021-09-09 04:32:19.562790 : Epoch  4, Batch    108, Loss  0.871831, Average Loss  0.868435, Time  0.487912
2021-09-09 04:32:21.504829 : Epoch  4, Batch    109, Loss  0.860663, Average Loss  0.868436, Time  0.475752
2021-09-09 04:32:23.371876 : Epoch  4, Batch    110, Loss  0.880340, Average Loss  0.868466, Time  0.400822
2021-09-09 04:32:25.161032 : Epoch  4, Batch    111, Loss  0.837239, Average Loss  0.868272, Time  0.357571
2021-09-09 04:32:27.046782 : Epoch  4, Batch    112, Loss  0.848992, Average Loss  0.868098, Time  0.413209
2021-09-09 04:32:29.001821 : Epoch  4, Batch    113, Loss  0.886494, Average Loss  0.868141, Time  0.492964
2021-09-09 04:32:30.947791 : Epoch  4, Batch    114, Loss  0.848301, Average Loss  0.868116, Time  0.482639
2021-09-09 04:32:32.842779 : Epoch  4, Batch    115, Loss  0.880560, Average Loss  0.868117, Time  0.401264
2021-09-09 04:32:34.703780 : Epoch  4, Batch    116, Loss  0.878831, Average Loss  0.867941, Time  0.399828
2021-09-09 04:32:36.586946 : Epoch  4, Batch    117, Loss  0.844526, Average Loss  0.868001, Time  0.398759
2021-09-09 04:32:38.553817 : Epoch  4, Batch    118, Loss  0.865526, Average Loss  0.868107, Time  0.486306
2021-09-09 04:32:40.496181 : Epoch  4, Batch    119, Loss  0.883072, Average Loss  0.868023, Time  0.477556
2021-09-09 04:32:42.329819 : Epoch  4, Batch    120, Loss  0.859874, Average Loss  0.868089, Time  0.370237
2021-09-09 04:32:44.226173 : Epoch  4, Batch    121, Loss  0.858576, Average Loss  0.867989, Time  0.408165
2021-09-09 04:32:46.110901 : Epoch  4, Batch    122, Loss  0.882411, Average Loss  0.868071, Time  0.393037
2021-09-09 04:32:48.067946 : Epoch  4, Batch    123, Loss  0.887402, Average Loss  0.868063, Time  0.484958
2021-09-09 04:32:50.000878 : Epoch  4, Batch    124, Loss  0.860374, Average Loss  0.867861, Time  0.458032
2021-09-09 04:32:51.863798 : Epoch  4, Batch    125, Loss  0.900368, Average Loss  0.867965, Time  0.413674
2021-09-09 04:32:53.663730 : Epoch  4, Batch    126, Loss  0.870242, Average Loss  0.867992, Time  0.358181
2021-09-09 04:32:55.554828 : Epoch  4, Batch    127, Loss  0.859975, Average Loss  0.867990, Time  0.401569
2021-09-09 04:32:57.462885 : Epoch  4, Batch    128, Loss  0.878696, Average Loss  0.868046, Time  0.428774
2021-09-09 04:32:59.425799 : Epoch  4, Batch    129, Loss  0.856843, Average Loss  0.868004, Time  0.483504
2021-09-09 04:33:01.374954 : Epoch  4, Batch    130, Loss  0.874085, Average Loss  0.868067, Time  0.481770
2021-09-09 04:33:03.253782 : Epoch  4, Batch    131, Loss  0.872673, Average Loss  0.868028, Time  0.396286
2021-09-09 04:33:05.120951 : Epoch  4, Batch    132, Loss  0.868205, Average Loss  0.867976, Time  0.398760
2021-09-09 04:33:06.986648 : Epoch  4, Batch    133, Loss  0.848110, Average Loss  0.867739, Time  0.397390
2021-09-09 04:33:08.966232 : Epoch  4, Batch    134, Loss  0.877308, Average Loss  0.867818, Time  0.474896
2021-09-09 04:33:10.932769 : Epoch  4, Batch    135, Loss  0.898118, Average Loss  0.867926, Time  0.479245
2021-09-09 04:33:12.803025 : Epoch  4, Batch    136, Loss  0.825511, Average Loss  0.867634, Time  0.403902
2021-09-09 04:33:14.689276 : Epoch  4, Batch    137, Loss  0.870181, Average Loss  0.867435, Time  0.399130
2021-09-09 04:33:16.555261 : Epoch  4, Batch    138, Loss  0.889748, Average Loss  0.867716, Time  0.397077
2021-09-09 04:33:18.532875 : Epoch  4, Batch    139, Loss  0.888411, Average Loss  0.867805, Time  0.487422
2021-09-09 04:33:20.446739 : Epoch  4, Batch    140, Loss  0.876089, Average Loss  0.867983, Time  0.455081
2021-09-09 04:33:22.239503 : Epoch  4, Batch    141, Loss  0.863009, Average Loss  0.867910, Time  0.368541
2021-09-09 04:33:24.052149 : Epoch  4, Batch    142, Loss  0.837844, Average Loss  0.867936, Time  0.387951
2021-09-09 04:33:25.957851 : Epoch  4, Batch    143, Loss  0.874437, Average Loss  0.868096, Time  0.416728
2021-09-09 04:33:27.912021 : Epoch  4, Batch    144, Loss  0.868778, Average Loss  0.868064, Time  0.487290
2021-09-09 04:33:29.872540 : Epoch  4, Batch    145, Loss  0.869267, Average Loss  0.868201, Time  0.492085
2021-09-09 04:33:31.727616 : Epoch  4, Batch    146, Loss  0.843172, Average Loss  0.867956, Time  0.398754
2021-09-09 04:33:33.677579 : Epoch  4, Batch    147, Loss  0.863461, Average Loss  0.868096, Time  0.466619
2021-09-09 04:33:35.532799 : Epoch  4, Batch    148, Loss  0.883091, Average Loss  0.868191, Time  0.391336
2021-09-09 04:33:37.500800 : Epoch  4, Batch    149, Loss  0.853968, Average Loss  0.868263, Time  0.500685
2021-09-09 04:33:39.469824 : Epoch  4, Batch    150, Loss  0.861338, Average Loss  0.868304, Time  0.495141
2021-09-09 04:33:41.381783 : Epoch  4, Batch    151, Loss  0.841457, Average Loss  0.868076, Time  0.447056
2021-09-09 04:33:43.265791 : Epoch  4, Batch    152, Loss  0.873575, Average Loss  0.868114, Time  0.400862
2021-09-09 04:33:45.136786 : Epoch  4, Batch    153, Loss  0.864530, Average Loss  0.868147, Time  0.396860
2021-09-09 04:33:47.043992 : Epoch  4, Batch    154, Loss  0.849291, Average Loss  0.867974, Time  0.411389
2021-09-09 04:33:49.003780 : Epoch  4, Batch    155, Loss  0.860211, Average Loss  0.868101, Time  0.489118
2021-09-09 04:33:50.946038 : Epoch  4, Batch    156, Loss  0.872058, Average Loss  0.867946, Time  0.484485
2021-09-09 04:33:52.816803 : Epoch  4, Batch    157, Loss  0.857478, Average Loss  0.867942, Time  0.401077
2021-09-09 04:33:54.686065 : Epoch  4, Batch    158, Loss  0.880370, Average Loss  0.868055, Time  0.398646
2021-09-09 04:33:56.607831 : Epoch  4, Batch    159, Loss  0.871843, Average Loss  0.868147, Time  0.417397
2021-09-09 04:33:58.559783 : Epoch  4, Batch    160, Loss  0.859963, Average Loss  0.868029, Time  0.485461
2021-09-09 04:34:00.504784 : Epoch  4, Batch    161, Loss  0.869546, Average Loss  0.868007, Time  0.481222
2021-09-09 04:34:02.380828 : Epoch  4, Batch    162, Loss  0.868327, Average Loss  0.868132, Time  0.398403
2021-09-09 04:34:04.270116 : Epoch  4, Batch    163, Loss  0.878398, Average Loss  0.868226, Time  0.398242
2021-09-09 04:34:06.137006 : Epoch  4, Batch    164, Loss  0.867932, Average Loss  0.868241, Time  0.397951
2021-09-09 04:34:08.047773 : Epoch  4, Batch    165, Loss  0.892648, Average Loss  0.868445, Time  0.470331
2021-09-09 04:34:09.969818 : Epoch  4, Batch    166, Loss  0.832604, Average Loss  0.868364, Time  0.454676
2021-09-09 04:34:11.754997 : Epoch  4, Batch    167, Loss  0.875803, Average Loss  0.868444, Time  0.359532
2021-09-09 04:39:10.596717 : CheckPoint: Validation Loss  0.00061036, Best Loss  0.00057084
2021-09-09 04:39:12.392095 : Epoch  4, Batch    168, Loss  0.864431, Average Loss  0.868428, Time  0.359089
2021-09-09 04:39:14.154772 : Epoch  4, Batch    169, Loss  0.835843, Average Loss  0.868268, Time  0.356045
2021-09-09 04:39:16.061947 : Epoch  4, Batch    170, Loss  0.877000, Average Loss  0.868369, Time  0.430588
2021-09-09 04:39:18.074934 : Epoch  4, Batch    171, Loss  0.880485, Average Loss  0.868513, Time  0.543982
2021-09-09 04:39:19.968964 : Epoch  4, Batch    172, Loss  0.855661, Average Loss  0.868556, Time  0.410081
2021-09-09 04:39:21.846184 : Epoch  4, Batch    173, Loss  0.865226, Average Loss  0.868431, Time  0.398640
2021-09-09 04:39:23.715569 : Epoch  4, Batch    174, Loss  0.871761, Average Loss  0.868551, Time  0.398259
2021-09-09 04:39:25.650639 : Epoch  4, Batch    175, Loss  0.861108, Average Loss  0.868473, Time  0.450533
2021-09-09 04:39:27.542732 : Epoch  4, Batch    176, Loss  0.885699, Average Loss  0.868591, Time  0.453713
2021-09-09 04:39:29.537778 : Epoch  4, Batch    177, Loss  0.888175, Average Loss  0.868805, Time  0.465258
2021-09-09 04:39:31.477866 : Epoch  4, Batch    178, Loss  0.859200, Average Loss  0.868746, Time  0.407208
2021-09-09 04:39:33.365602 : Epoch  4, Batch    179, Loss  0.867653, Average Loss  0.868774, Time  0.398277
2021-09-09 04:39:35.275354 : Epoch  4, Batch    180, Loss  0.865957, Average Loss  0.868822, Time  0.450649
2021-09-09 04:39:37.279821 : Epoch  4, Batch    181, Loss  0.855860, Average Loss  0.868802, Time  0.528343
2021-09-09 04:39:39.235092 : Epoch  4, Batch    182, Loss  0.813524, Average Loss  0.868530, Time  0.490656
2021-09-09 04:39:41.016632 : Epoch  4, Batch    183, Loss  0.847528, Average Loss  0.868325, Time  0.356876
2021-09-09 04:39:42.884144 : Epoch  4, Batch    184, Loss  0.849767, Average Loss  0.868212, Time  0.397785
2021-09-09 04:39:44.787270 : Epoch  4, Batch    185, Loss  0.841251, Average Loss  0.867910, Time  0.437837
2021-09-09 04:39:46.704794 : Epoch  4, Batch    186, Loss  0.871049, Average Loss  0.867854, Time  0.472174
2021-09-09 04:39:48.618843 : Epoch  4, Batch    187, Loss  0.841970, Average Loss  0.867657, Time  0.449771
2021-09-09 04:39:50.449357 : Epoch  4, Batch    188, Loss  0.861805, Average Loss  0.867697, Time  0.362251
2021-09-09 04:39:52.382905 : Epoch  4, Batch    189, Loss  0.862038, Average Loss  0.867674, Time  0.442334
2021-09-09 04:39:54.337228 : Epoch  4, Batch    190, Loss  0.864230, Average Loss  0.867467, Time  0.402020
2021-09-09 04:39:56.297143 : Epoch  4, Batch    191, Loss  0.867061, Average Loss  0.867499, Time  0.486008
2021-09-09 04:39:58.257893 : Epoch  4, Batch    192, Loss  0.877079, Average Loss  0.867563, Time  0.483517
2021-09-09 04:40:00.106135 : Epoch  4, Batch    193, Loss  0.875463, Average Loss  0.867448, Time  0.378259
2021-09-09 04:40:01.941877 : Epoch  4, Batch    194, Loss  0.864122, Average Loss  0.867427, Time  0.357262
2021-09-09 04:40:03.729333 : Epoch  4, Batch    195, Loss  0.851930, Average Loss  0.867377, Time  0.360643
2021-09-09 04:40:05.634175 : Epoch  4, Batch    196, Loss  0.864328, Average Loss  0.867351, Time  0.453504
2021-09-09 04:40:07.680781 : Epoch  4, Batch    197, Loss  0.865719, Average Loss  0.867369, Time  0.499291
2021-09-09 04:40:09.548445 : Epoch  4, Batch    198, Loss  0.892740, Average Loss  0.867386, Time  0.389459
2021-09-09 04:40:11.452819 : Epoch  4, Batch    199, Loss  0.880153, Average Loss  0.867399, Time  0.358927
2021-09-09 04:40:13.228883 : Epoch  4, Batch    200, Loss  0.896926, Average Loss  0.867464, Time  0.363222
2021-09-09 04:40:15.125821 : Epoch  4, Batch    201, Loss  0.860964, Average Loss  0.867394, Time  0.455455
2021-09-09 04:40:17.033124 : Epoch  4, Batch    202, Loss  0.866313, Average Loss  0.867384, Time  0.448329
2021-09-09 04:40:18.925805 : Epoch  4, Batch    203, Loss  0.881829, Average Loss  0.867452, Time  0.419670
2021-09-09 04:40:20.908857 : Epoch  4, Batch    204, Loss  0.855068, Average Loss  0.867486, Time  0.398377
2021-09-09 04:40:22.778009 : Epoch  4, Batch    205, Loss  0.865294, Average Loss  0.867424, Time  0.398078
2021-09-09 04:40:24.744971 : Epoch  4, Batch    206, Loss  0.898914, Average Loss  0.867598, Time  0.506443
2021-09-09 04:40:26.735941 : Epoch  4, Batch    207, Loss  0.855952, Average Loss  0.867548, Time  0.502470
2021-09-09 04:40:28.616935 : Epoch  4, Batch    208, Loss  0.859724, Average Loss  0.867440, Time  0.407477
2021-09-09 04:40:30.478027 : Epoch  4, Batch    209, Loss  0.885138, Average Loss  0.867526, Time  0.400536
2021-09-09 04:40:32.363783 : Epoch  4, Batch    210, Loss  0.858973, Average Loss  0.867479, Time  0.419844
2021-09-09 04:40:34.291208 : Epoch  4, Batch    211, Loss  0.870206, Average Loss  0.867521, Time  0.461672
2021-09-09 04:40:36.196334 : Epoch  4, Batch    212, Loss  0.852158, Average Loss  0.867553, Time  0.454796
2021-09-09 04:40:38.239007 : Epoch  4, Batch    213, Loss  0.884796, Average Loss  0.867737, Time  0.481816
2021-09-09 04:40:40.118154 : Epoch  4, Batch    214, Loss  0.887059, Average Loss  0.867871, Time  0.396454
2021-09-09 04:40:41.986057 : Epoch  4, Batch    215, Loss  0.867992, Average Loss  0.867907, Time  0.398372
2021-09-09 04:40:43.799382 : Epoch  4, Batch    216, Loss  0.854674, Average Loss  0.867790, Time  0.365718
2021-09-09 04:40:45.750798 : Epoch  4, Batch    217, Loss  0.873976, Average Loss  0.867931, Time  0.489769
2021-09-09 04:40:47.809277 : Epoch  4, Batch    218, Loss  0.864604, Average Loss  0.868129, Time  0.541416
2021-09-09 04:40:49.847785 : Epoch  4, Batch    219, Loss  0.878026, Average Loss  0.868069, Time  0.513250
2021-09-09 04:40:51.721525 : Epoch  4, Batch    220, Loss  0.880183, Average Loss  0.868003, Time  0.402724
2021-09-09 04:40:53.610192 : Epoch  4, Batch    221, Loss  0.882884, Average Loss  0.868229, Time  0.429447
2021-09-09 04:40:55.497400 : Epoch  4, Batch    222, Loss  0.866362, Average Loss  0.868241, Time  0.398613
2021-09-09 04:40:57.487788 : Epoch  4, Batch    223, Loss  0.872243, Average Loss  0.868298, Time  0.486555
2021-09-09 04:40:59.451387 : Epoch  4, Batch    224, Loss  0.849971, Average Loss  0.868171, Time  0.498019
2021-09-09 04:41:01.338140 : Epoch  4, Batch    225, Loss  0.877589, Average Loss  0.868242, Time  0.381224
2021-09-09 04:41:03.214439 : Epoch  4, Batch    226, Loss  0.850037, Average Loss  0.868198, Time  0.397896
2021-09-09 04:41:05.118756 : Epoch  4, Batch    227, Loss  0.879802, Average Loss  0.868174, Time  0.411374
2021-09-09 04:41:07.081951 : Epoch  4, Batch    228, Loss  0.877047, Average Loss  0.868213, Time  0.471739
2021-09-09 04:41:09.066958 : Epoch  4, Batch    229, Loss  0.875966, Average Loss  0.868139, Time  0.509984
2021-09-09 04:41:11.097411 : Epoch  4, Batch    230, Loss  0.864423, Average Loss  0.868216, Time  0.500590
2021-09-09 04:41:12.936648 : Epoch  4, Batch    231, Loss  0.879336, Average Loss  0.868243, Time  0.380174
2021-09-09 04:41:14.719887 : Epoch  4, Batch    232, Loss  0.895688, Average Loss  0.868396, Time  0.362772
2021-09-09 04:41:16.539798 : Epoch  4, Batch    233, Loss  0.880861, Average Loss  0.868464, Time  0.382538
2021-09-09 04:41:18.467879 : Epoch  4, Batch    234, Loss  0.846556, Average Loss  0.868328, Time  0.463145
2021-09-09 04:41:20.362187 : Epoch  4, Batch    235, Loss  0.841881, Average Loss  0.868217, Time  0.457104
2021-09-09 04:41:22.226897 : Epoch  4, Batch    236, Loss  0.863122, Average Loss  0.868137, Time  0.408216
2021-09-09 04:41:24.102333 : Epoch  4, Batch    237, Loss  0.899622, Average Loss  0.868248, Time  0.400411
2021-09-09 04:41:26.050801 : Epoch  4, Batch    238, Loss  0.871130, Average Loss  0.868217, Time  0.431116
2021-09-09 04:41:28.055708 : Epoch  4, Batch    239, Loss  0.886860, Average Loss  0.868226, Time  0.520563
2021-09-09 04:41:30.013256 : Epoch  4, Batch    240, Loss  0.879357, Average Loss  0.868257, Time  0.490234
2021-09-09 04:41:32.072364 : Epoch  4, Batch    241, Loss  0.871869, Average Loss  0.868259, Time  0.483970
2021-09-09 04:41:33.970669 : Epoch  4, Batch    242, Loss  0.875267, Average Loss  0.868349, Time  0.403233
2021-09-09 04:41:35.857793 : Epoch  4, Batch    243, Loss  0.855983, Average Loss  0.868269, Time  0.396311
2021-09-09 04:41:37.716981 : Epoch  4, Batch    244, Loss  0.880537, Average Loss  0.868373, Time  0.396381
2021-09-09 04:41:39.667963 : Epoch  4, Batch    245, Loss  0.851575, Average Loss  0.868068, Time  0.484981
2021-09-09 04:41:41.627008 : Epoch  4, Batch    246, Loss  0.861202, Average Loss  0.868033, Time  0.485564
2021-09-09 04:41:43.551806 : Epoch  4, Batch    247, Loss  0.893606, Average Loss  0.868206, Time  0.439772
2021-09-09 04:41:45.434027 : Epoch  4, Batch    248, Loss  0.820778, Average Loss  0.867984, Time  0.406775
2021-09-09 04:41:47.345201 : Epoch  4, Batch    249, Loss  0.864650, Average Loss  0.867988, Time  0.397007
2021-09-09 04:41:49.259359 : Epoch  4, Batch    250, Loss  0.875210, Average Loss  0.868154, Time  0.434949
2021-09-09 04:41:51.227085 : Epoch  4, Batch    251, Loss  0.852891, Average Loss  0.867853, Time  0.489275
2021-09-09 04:41:53.178910 : Epoch  4, Batch    252, Loss  0.854430, Average Loss  0.867692, Time  0.482469
2021-09-09 04:41:55.040858 : Epoch  4, Batch    253, Loss  0.845292, Average Loss  0.867517, Time  0.399602
2021-09-09 04:41:56.928977 : Epoch  4, Batch    254, Loss  0.882012, Average Loss  0.867525, Time  0.397069
2021-09-09 04:41:58.816977 : Epoch  4, Batch    255, Loss  0.866385, Average Loss  0.867508, Time  0.403629
2021-09-09 04:42:00.785210 : Epoch  4, Batch    256, Loss  0.841147, Average Loss  0.867354, Time  0.492778
2021-09-09 04:42:02.745516 : Epoch  4, Batch    257, Loss  0.870934, Average Loss  0.867407, Time  0.480838
2021-09-09 04:42:04.630779 : Epoch  4, Batch    258, Loss  0.870742, Average Loss  0.867466, Time  0.404336
2021-09-09 04:42:06.516231 : Epoch  4, Batch    259, Loss  0.851025, Average Loss  0.867389, Time  0.397616
2021-09-09 04:42:08.379144 : Epoch  4, Batch    260, Loss  0.869462, Average Loss  0.867339, Time  0.397091
2021-09-09 04:42:10.328995 : Epoch  4, Batch    261, Loss  0.858271, Average Loss  0.867201, Time  0.483091
2021-09-09 04:42:12.273721 : Epoch  4, Batch    262, Loss  0.869358, Average Loss  0.867199, Time  0.477553
2021-09-09 04:42:14.143601 : Epoch  4, Batch    263, Loss  0.847011, Average Loss  0.867259, Time  0.398367
2021-09-09 04:42:16.032017 : Epoch  4, Batch    264, Loss  0.894495, Average Loss  0.867395, Time  0.397433
2021-09-09 04:42:17.909890 : Epoch  4, Batch    265, Loss  0.848617, Average Loss  0.867402, Time  0.395948
2021-09-09 04:42:19.857822 : Epoch  4, Batch    266, Loss  0.873772, Average Loss  0.867406, Time  0.478574
2021-09-09 04:42:21.822261 : Epoch  4, Batch    267, Loss  0.883606, Average Loss  0.867606, Time  0.480820
2021-09-09 04:47:18.478728 : CheckPoint: Validation Loss  0.00058037, Best Loss  0.00057084
2021-09-09 04:47:20.352777 : Epoch  4, Batch    268, Loss  0.889038, Average Loss  0.867670, Time  0.446466
2021-09-09 04:47:22.164780 : Epoch  4, Batch    269, Loss  0.862146, Average Loss  0.867591, Time  0.357146
2021-09-09 04:47:23.955178 : Epoch  4, Batch    270, Loss  0.895390, Average Loss  0.867850, Time  0.356606
2021-09-09 04:47:25.948841 : Epoch  4, Batch    271, Loss  0.882997, Average Loss  0.867963, Time  0.429381
2021-09-09 04:47:27.913932 : Epoch  4, Batch    272, Loss  0.862676, Average Loss  0.867816, Time  0.487405
2021-09-09 04:47:29.890959 : Epoch  4, Batch    273, Loss  0.887230, Average Loss  0.867958, Time  0.488808
2021-09-09 04:47:31.857919 : Epoch  4, Batch    274, Loss  0.842530, Average Loss  0.867902, Time  0.481395
2021-09-09 04:47:33.755027 : Epoch  4, Batch    275, Loss  0.876576, Average Loss  0.867943, Time  0.408442
2021-09-09 04:47:35.628841 : Epoch  4, Batch    276, Loss  0.873372, Average Loss  0.867965, Time  0.399771
2021-09-09 04:47:37.526053 : Epoch  4, Batch    277, Loss  0.886417, Average Loss  0.867922, Time  0.401865
2021-09-09 04:47:39.471162 : Epoch  4, Batch    278, Loss  0.870723, Average Loss  0.867924, Time  0.485183
2021-09-09 04:47:41.451783 : Epoch  4, Batch    279, Loss  0.883275, Average Loss  0.868007, Time  0.488670
2021-09-09 04:47:43.314844 : Epoch  4, Batch    280, Loss  0.880305, Average Loss  0.868109, Time  0.400712
2021-09-09 04:47:45.176829 : Epoch  4, Batch    281, Loss  0.860908, Average Loss  0.868219, Time  0.396986
2021-09-09 04:47:47.090842 : Epoch  4, Batch    282, Loss  0.876871, Average Loss  0.868244, Time  0.416693
2021-09-09 04:47:49.045780 : Epoch  4, Batch    283, Loss  0.888046, Average Loss  0.868328, Time  0.493443
2021-09-09 04:47:50.986064 : Epoch  4, Batch    284, Loss  0.890169, Average Loss  0.868415, Time  0.480134
2021-09-09 04:47:52.869517 : Epoch  4, Batch    285, Loss  0.857705, Average Loss  0.868229, Time  0.402954
2021-09-09 04:47:54.842779 : Epoch  4, Batch    286, Loss  0.858556, Average Loss  0.868200, Time  0.398870
2021-09-09 04:47:56.747206 : Epoch  4, Batch    287, Loss  0.867593, Average Loss  0.868186, Time  0.419434
2021-09-09 04:47:58.679222 : Epoch  4, Batch    288, Loss  0.879344, Average Loss  0.868296, Time  0.455701
2021-09-09 04:48:00.642219 : Epoch  4, Batch    289, Loss  0.901012, Average Loss  0.868436, Time  0.480405
2021-09-09 04:48:02.508785 : Epoch  4, Batch    290, Loss  0.857392, Average Loss  0.868290, Time  0.398998
2021-09-09 04:48:04.371785 : Epoch  4, Batch    291, Loss  0.848907, Average Loss  0.868242, Time  0.396961
2021-09-09 04:48:06.259868 : Epoch  4, Batch    292, Loss  0.881743, Average Loss  0.868249, Time  0.403256
2021-09-09 04:48:08.211811 : Epoch  4, Batch    293, Loss  0.864526, Average Loss  0.868198, Time  0.487057
2021-09-09 04:48:10.191779 : Epoch  4, Batch    294, Loss  0.852846, Average Loss  0.868178, Time  0.482426
2021-09-09 04:48:12.077279 : Epoch  4, Batch    295, Loss  0.869250, Average Loss  0.868146, Time  0.403667
2021-09-09 04:48:13.936940 : Epoch  4, Batch    296, Loss  0.872596, Average Loss  0.868280, Time  0.397094
2021-09-09 04:48:15.803990 : Epoch  4, Batch    297, Loss  0.885833, Average Loss  0.868215, Time  0.405642
2021-09-09 04:48:17.786402 : Epoch  4, Batch    298, Loss  0.885543, Average Loss  0.868200, Time  0.485810
2021-09-09 04:48:19.742770 : Epoch  4, Batch    299, Loss  0.850733, Average Loss  0.868196, Time  0.481882
2021-09-09 04:48:21.619928 : Epoch  4, Batch    300, Loss  0.863160, Average Loss  0.868272, Time  0.402908
2021-09-09 04:48:23.481015 : Epoch  4, Batch    301, Loss  0.865009, Average Loss  0.868257, Time  0.398365
2021-09-09 04:48:25.353121 : Epoch  4, Batch    302, Loss  0.876495, Average Loss  0.868256, Time  0.403069
2021-09-09 04:48:27.304783 : Epoch  4, Batch    303, Loss  0.867359, Average Loss  0.868094, Time  0.491916
2021-09-09 04:48:29.260997 : Epoch  4, Batch    304, Loss  0.905554, Average Loss  0.868451, Time  0.452880
2021-09-09 04:48:31.088778 : Epoch  4, Batch    305, Loss  0.894511, Average Loss  0.868448, Time  0.381651
2021-09-09 04:48:32.890894 : Epoch  4, Batch    306, Loss  0.844204, Average Loss  0.868199, Time  0.374919
2021-09-09 04:48:34.760844 : Epoch  4, Batch    307, Loss  0.860781, Average Loss  0.868194, Time  0.401930
2021-09-09 04:48:36.722852 : Epoch  4, Batch    308, Loss  0.839775, Average Loss  0.868033, Time  0.489281
2021-09-09 04:48:38.670233 : Epoch  4, Batch    309, Loss  0.867315, Average Loss  0.868067, Time  0.484585
2021-09-09 04:48:40.540268 : Epoch  4, Batch    310, Loss  0.858912, Average Loss  0.867960, Time  0.401111
2021-09-09 04:48:42.476216 : Epoch  4, Batch    311, Loss  0.858316, Average Loss  0.868065, Time  0.443429
2021-09-09 04:48:44.355405 : Epoch  4, Batch    312, Loss  0.866054, Average Loss  0.868150, Time  0.416319
2021-09-09 04:48:46.328228 : Epoch  4, Batch    313, Loss  0.883564, Average Loss  0.868136, Time  0.502170
2021-09-09 04:48:48.328612 : Epoch  4, Batch    314, Loss  0.874781, Average Loss  0.868268, Time  0.504830
2021-09-09 04:48:50.238780 : Epoch  4, Batch    315, Loss  0.840353, Average Loss  0.868067, Time  0.407670
2021-09-09 04:48:52.106404 : Epoch  4, Batch    316, Loss  0.856900, Average Loss  0.867957, Time  0.401057
2021-09-09 04:48:53.969784 : Epoch  4, Batch    317, Loss  0.871078, Average Loss  0.868090, Time  0.403510
2021-09-09 04:48:55.918802 : Epoch  4, Batch    318, Loss  0.857293, Average Loss  0.868049, Time  0.486504
2021-09-09 04:48:57.878335 : Epoch  4, Batch    319, Loss  0.868064, Average Loss  0.867974, Time  0.476167
2021-09-09 04:48:59.788302 : Epoch  4, Batch    320, Loss  0.892052, Average Loss  0.868135, Time  0.428936
2021-09-09 04:49:01.673794 : Epoch  4, Batch    321, Loss  0.886685, Average Loss  0.868275, Time  0.406542
2021-09-09 04:49:03.561931 : Epoch  4, Batch    322, Loss  0.876170, Average Loss  0.868244, Time  0.404584
2021-09-09 04:49:05.533776 : Epoch  4, Batch    323, Loss  0.877507, Average Loss  0.868195, Time  0.501235
2021-09-09 04:49:07.462996 : Epoch  4, Batch    324, Loss  0.863209, Average Loss  0.868209, Time  0.469190
2021-09-09 04:49:09.341931 : Epoch  4, Batch    325, Loss  0.878425, Average Loss  0.868099, Time  0.401138
2021-09-09 04:49:11.226783 : Epoch  4, Batch    326, Loss  0.879337, Average Loss  0.868145, Time  0.404886
2021-09-09 04:49:13.090830 : Epoch  4, Batch    327, Loss  0.849586, Average Loss  0.868093, Time  0.397423
2021-09-09 04:49:15.033264 : Epoch  4, Batch    328, Loss  0.871847, Average Loss  0.868058, Time  0.479720
2021-09-09 04:49:16.994793 : Epoch  4, Batch    329, Loss  0.871922, Average Loss  0.868134, Time  0.485784
2021-09-09 04:49:18.862849 : Epoch  4, Batch    330, Loss  0.906473, Average Loss  0.868296, Time  0.397772
2021-09-09 04:49:20.741601 : Epoch  4, Batch    331, Loss  0.893589, Average Loss  0.868400, Time  0.397825
2021-09-09 04:49:22.666228 : Epoch  4, Batch    332, Loss  0.853055, Average Loss  0.868325, Time  0.406818
2021-09-09 04:49:24.624194 : Epoch  4, Batch    333, Loss  0.864606, Average Loss  0.868407, Time  0.487913
2021-09-09 04:49:26.589095 : Epoch  4, Batch    334, Loss  0.843916, Average Loss  0.868240, Time  0.487343
2021-09-09 04:49:28.554143 : Epoch  4, Batch    335, Loss  0.876836, Average Loss  0.868134, Time  0.482450
2021-09-09 04:49:30.418811 : Epoch  4, Batch    336, Loss  0.885580, Average Loss  0.868434, Time  0.401330
2021-09-09 04:49:32.279798 : Epoch  4, Batch    337, Loss  0.869647, Average Loss  0.868431, Time  0.397934
2021-09-09 04:49:34.170003 : Epoch  4, Batch    338, Loss  0.863209, Average Loss  0.868299, Time  0.411770
2021-09-09 04:49:36.136781 : Epoch  4, Batch    339, Loss  0.853678, Average Loss  0.868125, Time  0.487992
2021-09-09 04:49:38.114994 : Epoch  4, Batch    340, Loss  0.874640, Average Loss  0.868118, Time  0.480193
2021-09-09 04:49:39.972787 : Epoch  4, Batch    341, Loss  0.857094, Average Loss  0.868088, Time  0.397477
2021-09-09 04:49:41.833823 : Epoch  4, Batch    342, Loss  0.858364, Average Loss  0.868191, Time  0.399467
2021-09-09 04:49:43.698406 : Epoch  4, Batch    343, Loss  0.877279, Average Loss  0.868205, Time  0.396498
2021-09-09 04:49:45.676027 : Epoch  4, Batch    344, Loss  0.850415, Average Loss  0.868113, Time  0.488463
2021-09-09 04:49:47.646189 : Epoch  4, Batch    345, Loss  0.848547, Average Loss  0.868010, Time  0.492062
2021-09-09 04:49:49.502849 : Epoch  4, Batch    346, Loss  0.879744, Average Loss  0.868192, Time  0.378914
2021-09-09 04:49:51.372781 : Epoch  4, Batch    347, Loss  0.853409, Average Loss  0.868142, Time  0.396672
2021-09-09 04:49:53.228954 : Epoch  4, Batch    348, Loss  0.879878, Average Loss  0.868126, Time  0.396439
2021-09-09 04:49:55.180830 : Epoch  4, Batch    349, Loss  0.869404, Average Loss  0.868203, Time  0.491446
2021-09-09 04:49:57.139364 : Epoch  4, Batch    350, Loss  0.877874, Average Loss  0.868286, Time  0.486816
2021-09-09 04:49:59.029185 : Epoch  4, Batch    351, Loss  0.854186, Average Loss  0.868350, Time  0.435334
2021-09-09 04:50:00.886092 : Epoch  4, Batch    352, Loss  0.858732, Average Loss  0.868275, Time  0.400304
2021-09-09 04:50:02.758779 : Epoch  4, Batch    353, Loss  0.888240, Average Loss  0.868394, Time  0.397861
2021-09-09 04:50:04.744357 : Epoch  4, Batch    354, Loss  0.832093, Average Loss  0.868308, Time  0.484457
2021-09-09 04:50:06.730783 : Epoch  4, Batch    355, Loss  0.881872, Average Loss  0.868416, Time  0.485789
2021-09-09 04:50:08.672164 : Epoch  4, Batch    356, Loss  0.847575, Average Loss  0.868294, Time  0.483140
2021-09-09 04:50:10.553826 : Epoch  4, Batch    357, Loss  0.859907, Average Loss  0.868306, Time  0.398668
2021-09-09 04:50:12.424629 : Epoch  4, Batch    358, Loss  0.881894, Average Loss  0.868314, Time  0.401356
2021-09-09 04:50:14.316803 : Epoch  4, Batch    359, Loss  0.882712, Average Loss  0.868368, Time  0.392220
2021-09-09 04:50:16.258897 : Epoch  4, Batch    360, Loss  0.884577, Average Loss  0.868491, Time  0.470376
2021-09-09 04:50:18.053139 : Epoch  4, Batch    361, Loss  0.875552, Average Loss  0.868521, Time  0.339924
2021-09-09 04:50:19.923118 : Epoch  4, Batch    362, Loss  0.850554, Average Loss  0.868432, Time  0.365934
2021-09-09 04:50:21.807297 : Epoch  4, Batch    363, Loss  0.849213, Average Loss  0.868286, Time  0.399752
2021-09-09 04:50:23.753115 : Epoch  4, Batch    364, Loss  0.862026, Average Loss  0.868257, Time  0.488352
2021-09-09 04:50:25.722173 : Epoch  4, Batch    365, Loss  0.836457, Average Loss  0.867976, Time  0.497282
2021-09-09 04:50:27.668809 : Epoch  4, Batch    366, Loss  0.835967, Average Loss  0.867993, Time  0.456506
2021-09-09 04:50:29.521122 : Epoch  4, Batch    367, Loss  0.898225, Average Loss  0.868105, Time  0.400058
2021-09-09 04:55:27.145733 : CheckPoint: Validation Loss  0.00060120, Best Loss  0.00057084
2021-09-09 04:55:28.931816 : Epoch  4, Batch    368, Loss  0.878531, Average Loss  0.868175, Time  0.359843
2021-09-09 04:55:30.726003 : Epoch  4, Batch    369, Loss  0.885080, Average Loss  0.868421, Time  0.369410
2021-09-09 04:55:32.658787 : Epoch  4, Batch    370, Loss  0.850247, Average Loss  0.868288, Time  0.456393
2021-09-09 04:55:34.577397 : Epoch  4, Batch    371, Loss  0.880260, Average Loss  0.868286, Time  0.451641
2021-09-09 04:55:36.482321 : Epoch  4, Batch    372, Loss  0.889750, Average Loss  0.868457, Time  0.421473
2021-09-09 04:55:38.354804 : Epoch  4, Batch    373, Loss  0.866764, Average Loss  0.868465, Time  0.412523
2021-09-09 04:55:40.199630 : Epoch  4, Batch    374, Loss  0.834436, Average Loss  0.868278, Time  0.378705
2021-09-09 04:55:42.075802 : Epoch  4, Batch    375, Loss  0.861535, Average Loss  0.868280, Time  0.461643
2021-09-09 04:55:43.880347 : Epoch  4, Batch    376, Loss  0.883871, Average Loss  0.868271, Time  0.376170
2021-09-09 04:55:45.690826 : Epoch  4, Batch    377, Loss  0.901000, Average Loss  0.868335, Time  0.360824
2021-09-09 04:55:47.467067 : Epoch  4, Batch    378, Loss  0.878569, Average Loss  0.868432, Time  0.358370
2021-09-09 04:55:49.438214 : Epoch  4, Batch    379, Loss  0.869305, Average Loss  0.868440, Time  0.506921
2021-09-09 04:55:51.404728 : Epoch  4, Batch    380, Loss  0.905286, Average Loss  0.868637, Time  0.483902
2021-09-09 04:55:53.289044 : Epoch  4, Batch    381, Loss  0.875486, Average Loss  0.868735, Time  0.415378
2021-09-09 04:55:55.131301 : Epoch  4, Batch    382, Loss  0.865510, Average Loss  0.868995, Time  0.396792
2021-09-09 04:55:57.100038 : Epoch  4, Batch    383, Loss  0.881738, Average Loss  0.869166, Time  0.398079
2021-09-09 04:55:59.044785 : Epoch  4, Batch    384, Loss  0.856084, Average Loss  0.869198, Time  0.489127
2021-09-09 04:56:00.989942 : Epoch  4, Batch    385, Loss  0.855018, Average Loss  0.869266, Time  0.482493
2021-09-09 04:56:02.831438 : Epoch  4, Batch    386, Loss  0.871215, Average Loss  0.869267, Time  0.376531
2021-09-09 04:56:04.686636 : Epoch  4, Batch    387, Loss  0.866301, Average Loss  0.869389, Time  0.399484
2021-09-09 04:56:06.567292 : Epoch  4, Batch    388, Loss  0.891751, Average Loss  0.869539, Time  0.402845
2021-09-09 04:56:08.501782 : Epoch  4, Batch    389, Loss  0.859652, Average Loss  0.869527, Time  0.475313
2021-09-09 04:56:10.436422 : Epoch  4, Batch    390, Loss  0.884845, Average Loss  0.869630, Time  0.465948
2021-09-09 04:56:12.294953 : Epoch  4, Batch    391, Loss  0.885046, Average Loss  0.869720, Time  0.375172
2021-09-09 04:56:14.088433 : Epoch  4, Batch    392, Loss  0.873728, Average Loss  0.869703, Time  0.356296
2021-09-09 04:56:15.958816 : Epoch  4, Batch    393, Loss  0.895369, Average Loss  0.869802, Time  0.415164
2021-09-09 04:56:17.897796 : Epoch  4, Batch    394, Loss  0.858331, Average Loss  0.869773, Time  0.476473
2021-09-09 04:56:19.877203 : Epoch  4, Batch    395, Loss  0.894974, Average Loss  0.869989, Time  0.488302
2021-09-09 04:56:21.775331 : Epoch  4, Batch    396, Loss  0.884001, Average Loss  0.870087, Time  0.423129
2021-09-09 04:56:23.631291 : Epoch  4, Batch    397, Loss  0.842270, Average Loss  0.869970, Time  0.398055
2021-09-09 04:56:25.487990 : Epoch  4, Batch    398, Loss  0.842250, Average Loss  0.869717, Time  0.397585
2021-09-09 04:56:27.415220 : Epoch  4, Batch    399, Loss  0.886915, Average Loss  0.869751, Time  0.447597
2021-09-09 04:56:29.395796 : Epoch  4, Batch    400, Loss  0.896628, Average Loss  0.869750, Time  0.482652
2021-09-09 04:56:31.336839 : Epoch  4, Batch    401, Loss  0.855314, Average Loss  0.869721, Time  0.478858
2021-09-09 04:56:33.185196 : Epoch  4, Batch    402, Loss  0.847463, Average Loss  0.869627, Time  0.396578
2021-09-09 04:56:35.033930 : Epoch  4, Batch    403, Loss  0.859673, Average Loss  0.869516, Time  0.398479
2021-09-09 04:56:36.894881 : Epoch  4, Batch    404, Loss  0.849954, Average Loss  0.869491, Time  0.395750
2021-09-09 04:56:38.859174 : Epoch  4, Batch    405, Loss  0.857261, Average Loss  0.869451, Time  0.483146
2021-09-09 04:56:40.834867 : Epoch  4, Batch    406, Loss  0.882047, Average Loss  0.869366, Time  0.481721
2021-09-09 04:56:42.720967 : Epoch  4, Batch    407, Loss  0.857106, Average Loss  0.869372, Time  0.410539
2021-09-09 04:56:44.580802 : Epoch  4, Batch    408, Loss  0.863125, Average Loss  0.869389, Time  0.400233
2021-09-09 04:56:46.369865 : Epoch  4, Batch    409, Loss  0.876791, Average Loss  0.869347, Time  0.361847
2021-09-09 04:56:48.321519 : Epoch  4, Batch    410, Loss  0.845926, Average Loss  0.869282, Time  0.490925
2021-09-09 04:56:50.245359 : Epoch  4, Batch    411, Loss  0.879659, Average Loss  0.869329, Time  0.472542
2021-09-09 04:56:52.110034 : Epoch  4, Batch    412, Loss  0.845670, Average Loss  0.869297, Time  0.399424
2021-09-09 04:56:53.971393 : Epoch  4, Batch    413, Loss  0.909462, Average Loss  0.869420, Time  0.397927
2021-09-09 04:56:55.835904 : Epoch  4, Batch    414, Loss  0.873689, Average Loss  0.869353, Time  0.400587
2021-09-09 04:56:57.784478 : Epoch  4, Batch    415, Loss  0.859704, Average Loss  0.869312, Time  0.485150
2021-09-09 04:56:59.595860 : Epoch  4, Batch    416, Loss  0.870780, Average Loss  0.869393, Time  0.357411
2021-09-09 04:57:01.369296 : Epoch  4, Batch    417, Loss  0.873062, Average Loss  0.869388, Time  0.355948
2021-09-09 04:57:03.203337 : Epoch  4, Batch    418, Loss  0.857664, Average Loss  0.869353, Time  0.363938
2021-09-09 04:57:05.097983 : Epoch  4, Batch    419, Loss  0.852116, Average Loss  0.869224, Time  0.459386
2021-09-09 04:57:07.028286 : Epoch  4, Batch    420, Loss  0.882034, Average Loss  0.869233, Time  0.442185
2021-09-09 04:57:08.918362 : Epoch  4, Batch    421, Loss  0.881989, Average Loss  0.869228, Time  0.414415
2021-09-09 04:57:10.751985 : Epoch  4, Batch    422, Loss  0.878935, Average Loss  0.869291, Time  0.368637
2021-09-09 04:57:12.688187 : Epoch  4, Batch    423, Loss  0.864474, Average Loss  0.869253, Time  0.470500
2021-09-09 04:57:14.631379 : Epoch  4, Batch    424, Loss  0.861379, Average Loss  0.869310, Time  0.484771
2021-09-09 04:57:16.602421 : Epoch  4, Batch    425, Loss  0.875318, Average Loss  0.869298, Time  0.492912
2021-09-09 04:57:18.582311 : Epoch  4, Batch    426, Loss  0.878539, Average Loss  0.869441, Time  0.418842
2021-09-09 04:57:20.489979 : Epoch  4, Batch    427, Loss  0.857165, Average Loss  0.869328, Time  0.417690
2021-09-09 04:57:22.350299 : Epoch  4, Batch    428, Loss  0.874911, Average Loss  0.869317, Time  0.403520
2021-09-09 04:57:24.283075 : Epoch  4, Batch    429, Loss  0.849309, Average Loss  0.869184, Time  0.458431
2021-09-09 04:57:26.275896 : Epoch  4, Batch    430, Loss  0.896867, Average Loss  0.869346, Time  0.485589
2021-09-09 04:57:28.282007 : Epoch  4, Batch    431, Loss  0.852825, Average Loss  0.869213, Time  0.485313
2021-09-09 04:57:30.166175 : Epoch  4, Batch    432, Loss  0.877924, Average Loss  0.869124, Time  0.395723
2021-09-09 04:57:32.025356 : Epoch  4, Batch    433, Loss  0.882221, Average Loss  0.869131, Time  0.398465
2021-09-09 04:57:33.811396 : Epoch  4, Batch    434, Loss  0.879724, Average Loss  0.869297, Time  0.355447
2021-09-09 04:57:35.865347 : Epoch  4, Batch    435, Loss  0.848286, Average Loss  0.869329, Time  0.519909
2021-09-09 04:57:37.833940 : Epoch  4, Batch    436, Loss  0.899966, Average Loss  0.869513, Time  0.496168
2021-09-09 04:57:39.766198 : Epoch  4, Batch    437, Loss  0.870206, Average Loss  0.869366, Time  0.478885
2021-09-09 04:57:41.638223 : Epoch  4, Batch    438, Loss  0.878177, Average Loss  0.869401, Time  0.412942
2021-09-09 04:57:43.515359 : Epoch  4, Batch    439, Loss  0.847292, Average Loss  0.869204, Time  0.397548
2021-09-09 04:57:45.393858 : Epoch  4, Batch    440, Loss  0.867463, Average Loss  0.869144, Time  0.403191
2021-09-09 04:57:47.343767 : Epoch  4, Batch    441, Loss  0.883872, Average Loss  0.869204, Time  0.487984
2021-09-09 04:57:49.276924 : Epoch  4, Batch    442, Loss  0.870255, Average Loss  0.869179, Time  0.474350
2021-09-09 04:57:51.156075 : Epoch  4, Batch    443, Loss  0.845874, Average Loss  0.869129, Time  0.398291
2021-09-09 04:57:53.016196 : Epoch  4, Batch    444, Loss  0.875016, Average Loss  0.869101, Time  0.397413
2021-09-09 04:57:54.874120 : Epoch  4, Batch    445, Loss  0.866856, Average Loss  0.869177, Time  0.398823
2021-09-09 04:57:56.770337 : Epoch  4, Batch    446, Loss  0.868113, Average Loss  0.869212, Time  0.448908
2021-09-09 04:57:58.732961 : Epoch  4, Batch    447, Loss  0.838412, Average Loss  0.868936, Time  0.453382
2021-09-09 04:58:00.589912 : Epoch  4, Batch    448, Loss  0.906446, Average Loss  0.869364, Time  0.402055
2021-09-09 04:58:02.459370 : Epoch  4, Batch    449, Loss  0.902629, Average Loss  0.869554, Time  0.396194
2021-09-09 04:58:04.329966 : Epoch  4, Batch    450, Loss  0.888981, Average Loss  0.869623, Time  0.414391
2021-09-09 04:58:06.286310 : Epoch  4, Batch    451, Loss  0.872515, Average Loss  0.869721, Time  0.484606
2021-09-09 04:58:08.253951 : Epoch  4, Batch    452, Loss  0.864872, Average Loss  0.869773, Time  0.510292
2021-09-09 04:58:10.158302 : Epoch  4, Batch    453, Loss  0.869753, Average Loss  0.869896, Time  0.404394
2021-09-09 04:58:12.028887 : Epoch  4, Batch    454, Loss  0.865084, Average Loss  0.869811, Time  0.398005
2021-09-09 04:58:13.888668 : Epoch  4, Batch    455, Loss  0.867297, Average Loss  0.869816, Time  0.397204
2021-09-09 04:58:15.849503 : Epoch  4, Batch    456, Loss  0.863683, Average Loss  0.869928, Time  0.486118
2021-09-09 04:58:17.796970 : Epoch  4, Batch    457, Loss  0.866446, Average Loss  0.869906, Time  0.480532
2021-09-09 04:58:19.638164 : Epoch  4, Batch    458, Loss  0.898982, Average Loss  0.870047, Time  0.372502
2021-09-09 04:58:21.433841 : Epoch  4, Batch    459, Loss  0.870197, Average Loss  0.870143, Time  0.361550
2021-09-09 04:58:23.245743 : Epoch  4, Batch    460, Loss  0.895038, Average Loss  0.870271, Time  0.369031
2021-09-09 04:58:25.187454 : Epoch  4, Batch    461, Loss  0.841447, Average Loss  0.870187, Time  0.488073
2021-09-09 04:58:27.147819 : Epoch  4, Batch    462, Loss  0.837317, Average Loss  0.870026, Time  0.481617
2021-09-09 04:58:29.019925 : Epoch  4, Batch    463, Loss  0.848928, Average Loss  0.870036, Time  0.396422
2021-09-09 04:58:30.818774 : Epoch  4, Batch    464, Loss  0.862998, Average Loss  0.869879, Time  0.357841
2021-09-09 04:58:32.639335 : Epoch  4, Batch    465, Loss  0.852062, Average Loss  0.869896, Time  0.395694
2021-09-09 04:58:34.529936 : Epoch  4, Batch    466, Loss  0.887123, Average Loss  0.869962, Time  0.456073
2021-09-09 04:58:36.442018 : Epoch  4, Batch    467, Loss  0.837811, Average Loss  0.869734, Time  0.445453
2021-09-09 05:03:31.920728 : CheckPoint: Validation Loss  0.00061282, Best Loss  0.00057084
2021-09-09 05:03:33.713874 : Epoch  4, Batch    468, Loss  0.874233, Average Loss  0.869659, Time  0.357794
2021-09-09 05:03:35.605663 : Epoch  4, Batch    469, Loss  0.853044, Average Loss  0.869614, Time  0.415228
2021-09-09 05:03:37.493146 : Epoch  4, Batch    470, Loss  0.862602, Average Loss  0.869450, Time  0.444107
2021-09-09 05:03:39.243743 : Epoch  4, Batch    471, Loss  0.854458, Average Loss  0.869307, Time  0.336417
2021-09-09 05:03:41.169842 : Epoch  4, Batch    472, Loss  0.863561, Average Loss  0.869312, Time  0.431775
2021-09-09 05:03:43.082000 : Epoch  4, Batch    473, Loss  0.844800, Average Loss  0.869100, Time  0.402843
2021-09-09 05:03:45.051782 : Epoch  4, Batch    474, Loss  0.883468, Average Loss  0.869304, Time  0.469837
2021-09-09 05:03:47.017781 : Epoch  4, Batch    475, Loss  0.861167, Average Loss  0.869227, Time  0.484705
2021-09-09 05:03:48.874993 : Epoch  4, Batch    476, Loss  0.839406, Average Loss  0.869057, Time  0.379203
2021-09-09 05:03:50.770191 : Epoch  4, Batch    477, Loss  0.869454, Average Loss  0.868973, Time  0.399352
2021-09-09 05:03:52.648183 : Epoch  4, Batch    478, Loss  0.860346, Average Loss  0.868921, Time  0.398981
2021-09-09 05:03:54.570148 : Epoch  4, Batch    479, Loss  0.849356, Average Loss  0.868751, Time  0.455002
2021-09-09 05:03:56.524830 : Epoch  4, Batch    480, Loss  0.870154, Average Loss  0.868700, Time  0.458173
2021-09-09 05:03:58.543183 : Epoch  4, Batch    481, Loss  0.906368, Average Loss  0.868928, Time  0.482584
2021-09-09 05:04:00.441710 : Epoch  4, Batch    482, Loss  0.872824, Average Loss  0.868907, Time  0.395977
2021-09-09 05:04:02.389783 : Epoch  4, Batch    483, Loss  0.867700, Average Loss  0.868806, Time  0.402768
2021-09-09 05:04:04.274849 : Epoch  4, Batch    484, Loss  0.893587, Average Loss  0.868823, Time  0.406396
2021-09-09 05:04:06.239667 : Epoch  4, Batch    485, Loss  0.850917, Average Loss  0.868789, Time  0.488716
2021-09-09 05:04:08.193352 : Epoch  4, Batch    486, Loss  0.875889, Average Loss  0.868876, Time  0.479078
2021-09-09 05:04:10.063797 : Epoch  4, Batch    487, Loss  0.823222, Average Loss  0.868654, Time  0.396911
2021-09-09 05:04:11.885168 : Epoch  4, Batch    488, Loss  0.838584, Average Loss  0.868450, Time  0.360810
2021-09-09 05:04:13.664104 : Epoch  4, Batch    489, Loss  0.853615, Average Loss  0.868213, Time  0.363759
2021-09-09 05:04:15.628015 : Epoch  4, Batch    490, Loss  0.861112, Average Loss  0.868231, Time  0.491514
2021-09-09 05:04:17.478373 : Epoch  4, Batch    491, Loss  0.859303, Average Loss  0.868283, Time  0.426477
2021-09-09 05:04:19.347182 : Epoch  4, Batch    492, Loss  0.850951, Average Loss  0.868130, Time  0.374281
2021-09-09 05:04:21.237572 : Epoch  4, Batch    493, Loss  0.881870, Average Loss  0.868216, Time  0.401372
2021-09-09 05:04:23.121885 : Epoch  4, Batch    494, Loss  0.868898, Average Loss  0.868296, Time  0.428468
2021-09-09 05:04:25.093781 : Epoch  4, Batch    495, Loss  0.868156, Average Loss  0.868291, Time  0.502671
2021-09-09 05:04:27.078339 : Epoch  4, Batch    496, Loss  0.871292, Average Loss  0.868284, Time  0.490142
2021-09-09 05:04:28.966192 : Epoch  4, Batch    497, Loss  0.850299, Average Loss  0.868107, Time  0.413704
2021-09-09 05:04:30.836832 : Epoch  4, Batch    498, Loss  0.874204, Average Loss  0.868050, Time  0.398587
2021-09-09 05:04:32.622287 : Epoch  4, Batch    499, Loss  0.847845, Average Loss  0.868036, Time  0.358623
2021-09-09 05:04:34.548773 : Epoch  4, Batch    500, Loss  0.901480, Average Loss  0.868227, Time  0.476096
2021-09-09 05:04:36.440426 : Epoch  4, Batch    501, Loss  0.863042, Average Loss  0.868217, Time  0.450092
2021-09-09 05:04:38.265246 : Epoch  4, Batch    502, Loss  0.830303, Average Loss  0.867986, Time  0.351230
2021-09-09 05:04:40.223759 : Epoch  4, Batch    503, Loss  0.876831, Average Loss  0.868034, Time  0.420649
2021-09-09 05:04:42.144994 : Epoch  4, Batch    504, Loss  0.885027, Average Loss  0.867931, Time  0.438643
2021-09-09 05:04:44.020183 : Epoch  4, Batch    505, Loss  0.861890, Average Loss  0.867768, Time  0.425773
2021-09-09 05:04:45.961767 : Epoch  4, Batch    506, Loss  0.881499, Average Loss  0.867955, Time  0.446368
2021-09-09 05:04:47.781565 : Epoch  4, Batch    507, Loss  0.860833, Average Loss  0.867955, Time  0.361331
2021-09-09 05:04:49.562718 : Epoch  4, Batch    508, Loss  0.861414, Average Loss  0.868063, Time  0.357560
2021-09-09 05:04:51.475183 : Epoch  4, Batch    509, Loss  0.870012, Average Loss  0.868077, Time  0.423979
2021-09-09 05:04:53.417477 : Epoch  4, Batch    510, Loss  0.888655, Average Loss  0.868225, Time  0.456704
2021-09-09 05:04:55.274177 : Epoch  4, Batch    511, Loss  0.879659, Average Loss  0.868332, Time  0.428957
2021-09-09 05:04:57.188922 : Epoch  4, Batch    512, Loss  0.870857, Average Loss  0.868356, Time  0.364851
2021-09-09 05:04:59.078261 : Epoch  4, Batch    513, Loss  0.878290, Average Loss  0.868330, Time  0.403444
2021-09-09 05:05:00.969141 : Epoch  4, Batch    514, Loss  0.869876, Average Loss  0.868305, Time  0.403337
2021-09-09 05:05:02.951195 : Epoch  4, Batch    515, Loss  0.881168, Average Loss  0.868509, Time  0.488436
2021-09-09 05:05:04.903183 : Epoch  4, Batch    516, Loss  0.849034, Average Loss  0.868470, Time  0.480241
2021-09-09 05:05:06.772847 : Epoch  4, Batch    517, Loss  0.866675, Average Loss  0.868448, Time  0.396779
2021-09-09 05:05:08.651974 : Epoch  4, Batch    518, Loss  0.884432, Average Loss  0.868584, Time  0.400521
2021-09-09 05:05:10.519060 : Epoch  4, Batch    519, Loss  0.858887, Average Loss  0.868538, Time  0.398216
2021-09-09 05:05:12.475327 : Epoch  4, Batch    520, Loss  0.880446, Average Loss  0.868480, Time  0.491748
2021-09-09 05:05:14.443011 : Epoch  4, Batch    521, Loss  0.888610, Average Loss  0.868489, Time  0.486351
2021-09-09 05:05:16.327236 : Epoch  4, Batch    522, Loss  0.883402, Average Loss  0.868525, Time  0.402449
2021-09-09 05:05:18.198259 : Epoch  4, Batch    523, Loss  0.887744, Average Loss  0.868577, Time  0.396527
2021-09-09 05:05:20.062204 : Epoch  4, Batch    524, Loss  0.876984, Average Loss  0.868645, Time  0.396707
2021-09-09 05:05:22.013778 : Epoch  4, Batch    525, Loss  0.873862, Average Loss  0.868623, Time  0.489396
2021-09-09 05:05:23.966696 : Epoch  4, Batch    526, Loss  0.878210, Average Loss  0.868617, Time  0.481259
2021-09-09 05:05:25.861937 : Epoch  4, Batch    527, Loss  0.878850, Average Loss  0.868763, Time  0.398910
2021-09-09 05:05:27.727707 : Epoch  4, Batch    528, Loss  0.868872, Average Loss  0.868748, Time  0.399260
2021-09-09 05:05:29.599026 : Epoch  4, Batch    529, Loss  0.914846, Average Loss  0.868963, Time  0.402618
2021-09-09 05:05:31.558153 : Epoch  4, Batch    530, Loss  0.903220, Average Loss  0.868947, Time  0.487987
2021-09-09 05:05:33.536411 : Epoch  4, Batch    531, Loss  0.876237, Average Loss  0.868860, Time  0.480062
2021-09-09 05:05:35.428187 : Epoch  4, Batch    532, Loss  0.887622, Average Loss  0.869033, Time  0.401355
2021-09-09 05:05:37.300872 : Epoch  4, Batch    533, Loss  0.865253, Average Loss  0.869036, Time  0.400792
2021-09-09 05:05:39.175350 : Epoch  4, Batch    534, Loss  0.880647, Average Loss  0.869220, Time  0.403033
2021-09-09 05:05:41.123905 : Epoch  4, Batch    535, Loss  0.856473, Average Loss  0.869118, Time  0.485398
2021-09-09 05:05:43.074780 : Epoch  4, Batch    536, Loss  0.851661, Average Loss  0.868948, Time  0.484251
2021-09-09 05:05:44.965886 : Epoch  4, Batch    537, Loss  0.893824, Average Loss  0.869069, Time  0.375888
2021-09-09 05:05:46.840103 : Epoch  4, Batch    538, Loss  0.882155, Average Loss  0.869164, Time  0.396753
2021-09-09 05:05:48.718780 : Epoch  4, Batch    539, Loss  0.887059, Average Loss  0.869331, Time  0.394401
2021-09-09 05:05:50.730914 : Epoch  4, Batch    540, Loss  0.866268, Average Loss  0.869289, Time  0.481385
2021-09-09 05:05:52.630013 : Epoch  4, Batch    541, Loss  0.854859, Average Loss  0.869278, Time  0.460174
2021-09-09 05:05:54.643203 : Epoch  4, Batch    542, Loss  0.851860, Average Loss  0.869245, Time  0.482699
2021-09-09 05:05:56.524062 : Epoch  4, Batch    543, Loss  0.892378, Average Loss  0.869321, Time  0.396349
2021-09-09 05:05:58.399363 : Epoch  4, Batch    544, Loss  0.908338, Average Loss  0.869610, Time  0.398916
2021-09-09 05:06:00.261233 : Epoch  4, Batch    545, Loss  0.863738, Average Loss  0.869686, Time  0.395773
2021-09-09 05:06:02.210838 : Epoch  4, Batch    546, Loss  0.864187, Average Loss  0.869609, Time  0.483902
2021-09-09 05:06:04.161157 : Epoch  4, Batch    547, Loss  0.898713, Average Loss  0.869835, Time  0.480658
2021-09-09 05:06:06.009794 : Epoch  4, Batch    548, Loss  0.877000, Average Loss  0.869821, Time  0.388273
2021-09-09 05:06:07.872881 : Epoch  4, Batch    549, Loss  0.859181, Average Loss  0.869770, Time  0.396140
2021-09-09 05:06:09.758933 : Epoch  4, Batch    550, Loss  0.851423, Average Loss  0.869637, Time  0.404858
2021-09-09 05:06:11.835006 : Epoch  4, Batch    551, Loss  0.840379, Average Loss  0.869568, Time  0.484462
2021-09-09 05:06:13.779843 : Epoch  4, Batch    552, Loss  0.848626, Average Loss  0.869518, Time  0.486330
2021-09-09 05:06:15.715039 : Epoch  4, Batch    553, Loss  0.849752, Average Loss  0.869325, Time  0.475096
2021-09-09 05:06:17.585906 : Epoch  4, Batch    554, Loss  0.879723, Average Loss  0.869563, Time  0.401548
2021-09-09 05:06:19.471424 : Epoch  4, Batch    555, Loss  0.868045, Average Loss  0.869494, Time  0.398944
2021-09-09 05:06:21.341014 : Epoch  4, Batch    556, Loss  0.873121, Average Loss  0.869622, Time  0.398477
2021-09-09 05:06:23.310179 : Epoch  4, Batch    557, Loss  0.862622, Average Loss  0.869636, Time  0.491180
2021-09-09 05:06:25.255847 : Epoch  4, Batch    558, Loss  0.877882, Average Loss  0.869616, Time  0.483180
2021-09-09 05:06:27.119733 : Epoch  4, Batch    559, Loss  0.854511, Average Loss  0.869475, Time  0.397730
2021-09-09 05:06:28.973849 : Epoch  4, Batch    560, Loss  0.869411, Average Loss  0.869399, Time  0.396444
2021-09-09 05:06:30.842802 : Epoch  4, Batch    561, Loss  0.857958, Average Loss  0.869311, Time  0.399990
2021-09-09 05:06:32.802889 : Epoch  4, Batch    562, Loss  0.854489, Average Loss  0.869330, Time  0.479610
2021-09-09 05:06:34.786392 : Epoch  4, Batch    563, Loss  0.876366, Average Loss  0.869466, Time  0.481391
2021-09-09 05:06:36.626737 : Epoch  4, Batch    564, Loss  0.886129, Average Loss  0.869587, Time  0.390978
2021-09-09 05:06:38.515930 : Epoch  4, Batch    565, Loss  0.881022, Average Loss  0.869810, Time  0.397510
2021-09-09 05:06:40.450836 : Epoch  4, Batch    566, Loss  0.854012, Average Loss  0.869900, Time  0.404124
2021-09-09 05:06:42.410676 : Epoch  4, Batch    567, Loss  0.884769, Average Loss  0.869833, Time  0.492087
2021-09-09 05:11:37.812720 : CheckPoint: Validation Loss  0.00060137, Best Loss  0.00057084
2021-09-09 05:11:39.754781 : Epoch  4, Batch    568, Loss  0.878127, Average Loss  0.869831, Time  0.471443
2021-09-09 05:11:41.712792 : Epoch  4, Batch    569, Loss  0.886033, Average Loss  0.869835, Time  0.486168
2021-09-09 05:11:43.613679 : Epoch  4, Batch    570, Loss  0.904391, Average Loss  0.870106, Time  0.441704
2021-09-09 05:11:45.388181 : Epoch  4, Batch    571, Loss  0.875925, Average Loss  0.870084, Time  0.360045
2021-09-09 05:11:47.172772 : Epoch  4, Batch    572, Loss  0.890116, Average Loss  0.870086, Time  0.362030
2021-09-09 05:11:49.050807 : Epoch  4, Batch    573, Loss  0.881072, Average Loss  0.870158, Time  0.433540
2021-09-09 05:11:50.896012 : Epoch  4, Batch    574, Loss  0.879670, Average Loss  0.870384, Time  0.383879
2021-09-09 05:11:52.801013 : Epoch  4, Batch    575, Loss  0.881720, Average Loss  0.870485, Time  0.431827
2021-09-09 05:11:54.727142 : Epoch  4, Batch    576, Loss  0.871788, Average Loss  0.870424, Time  0.423599
2021-09-09 05:11:56.697826 : Epoch  4, Batch    577, Loss  0.864632, Average Loss  0.870243, Time  0.500728
2021-09-09 05:11:58.689781 : Epoch  4, Batch    578, Loss  0.906241, Average Loss  0.870381, Time  0.513786
2021-09-09 05:12:00.552780 : Epoch  4, Batch    579, Loss  0.896962, Average Loss  0.870519, Time  0.400188
2021-09-09 05:12:02.434182 : Epoch  4, Batch    580, Loss  0.876175, Average Loss  0.870374, Time  0.401655
2021-09-09 05:12:04.316853 : Epoch  4, Batch    581, Loss  0.856081, Average Loss  0.870277, Time  0.403626
2021-09-09 05:12:06.267412 : Epoch  4, Batch    582, Loss  0.867565, Average Loss  0.870287, Time  0.478729
2021-09-09 05:12:08.189781 : Epoch  4, Batch    583, Loss  0.845780, Average Loss  0.870107, Time  0.462816
2021-09-09 05:12:10.066613 : Epoch  4, Batch    584, Loss  0.817732, Average Loss  0.869915, Time  0.399518
2021-09-09 05:12:11.934153 : Epoch  4, Batch    585, Loss  0.879382, Average Loss  0.870037, Time  0.398357
2021-09-09 05:12:13.824386 : Epoch  4, Batch    586, Loss  0.861040, Average Loss  0.869986, Time  0.424138
2021-09-09 05:12:15.780777 : Epoch  4, Batch    587, Loss  0.858655, Average Loss  0.869948, Time  0.491576
2021-09-09 05:12:17.724777 : Epoch  4, Batch    588, Loss  0.854764, Average Loss  0.869763, Time  0.486224
2021-09-09 05:12:19.615997 : Epoch  4, Batch    589, Loss  0.888722, Average Loss  0.869908, Time  0.407120
2021-09-09 05:12:21.491199 : Epoch  4, Batch    590, Loss  0.875262, Average Loss  0.869861, Time  0.402342
2021-09-09 05:12:23.392942 : Epoch  4, Batch    591, Loss  0.909828, Average Loss  0.869984, Time  0.415315
2021-09-09 05:12:25.353185 : Epoch  4, Batch    592, Loss  0.888332, Average Loss  0.870057, Time  0.486185
2021-09-09 05:12:27.311781 : Epoch  4, Batch    593, Loss  0.850370, Average Loss  0.869832, Time  0.473315
2021-09-09 05:12:29.183164 : Epoch  4, Batch    594, Loss  0.841070, Average Loss  0.869746, Time  0.399218
2021-09-09 05:12:31.053849 : Epoch  4, Batch    595, Loss  0.885813, Average Loss  0.869700, Time  0.398715
2021-09-09 05:12:32.896904 : Epoch  4, Batch    596, Loss  0.852809, Average Loss  0.869544, Time  0.379857
2021-09-09 05:12:34.867780 : Epoch  4, Batch    597, Loss  0.891196, Average Loss  0.869789, Time  0.486504
2021-09-09 05:12:36.717028 : Epoch  4, Batch    598, Loss  0.852097, Average Loss  0.869838, Time  0.385733
2021-09-09 05:12:38.503810 : Epoch  4, Batch    599, Loss  0.879895, Average Loss  0.869803, Time  0.356102
2021-09-09 05:12:40.280965 : Epoch  4, Batch    600, Loss  0.884236, Average Loss  0.869741, Time  0.361081
2021-09-09 05:12:42.274781 : Epoch  4, Batch    601, Loss  0.858745, Average Loss  0.869758, Time  0.505700
2021-09-09 05:12:44.183778 : Epoch  4, Batch    602, Loss  0.880552, Average Loss  0.869924, Time  0.449477
2021-09-09 05:12:45.956976 : Epoch  4, Batch    603, Loss  0.885717, Average Loss  0.870054, Time  0.350366
2021-09-09 05:12:47.781823 : Epoch  4, Batch    604, Loss  0.887056, Average Loss  0.870240, Time  0.372602
2021-09-09 05:12:49.709191 : Epoch  4, Batch    605, Loss  0.875500, Average Loss  0.870331, Time  0.420287
2021-09-09 05:12:51.694837 : Epoch  4, Batch    606, Loss  0.877977, Average Loss  0.870310, Time  0.492217
2021-09-09 05:12:53.605296 : Epoch  4, Batch    607, Loss  0.885035, Average Loss  0.870450, Time  0.450773
2021-09-09 05:12:55.476838 : Epoch  4, Batch    608, Loss  0.848869, Average Loss  0.870379, Time  0.398942
2021-09-09 05:12:57.375802 : Epoch  4, Batch    609, Loss  0.873297, Average Loss  0.870361, Time  0.423056
2021-09-09 05:12:59.276103 : Epoch  4, Batch    610, Loss  0.889688, Average Loss  0.870580, Time  0.409741
2021-09-09 05:13:01.267182 : Epoch  4, Batch    611, Loss  0.906520, Average Loss  0.870714, Time  0.518223
2021-09-09 05:13:03.157781 : Epoch  4, Batch    612, Loss  0.873003, Average Loss  0.870851, Time  0.448413
2021-09-09 05:13:05.037782 : Epoch  4, Batch    613, Loss  0.839949, Average Loss  0.870503, Time  0.405696
2021-09-09 05:13:06.907793 : Epoch  4, Batch    614, Loss  0.870881, Average Loss  0.870489, Time  0.394027
2021-09-09 05:13:08.798596 : Epoch  4, Batch    615, Loss  0.904072, Average Loss  0.870711, Time  0.414987
2021-09-09 05:13:10.778223 : Epoch  4, Batch    616, Loss  0.845057, Average Loss  0.870583, Time  0.487849
2021-09-09 05:13:12.738840 : Epoch  4, Batch    617, Loss  0.863451, Average Loss  0.870535, Time  0.480036
2021-09-09 05:13:14.565797 : Epoch  4, Batch    618, Loss  0.865386, Average Loss  0.870573, Time  0.371437
2021-09-09 05:13:16.394811 : Epoch  4, Batch    619, Loss  0.847664, Average Loss  0.870551, Time  0.359556
2021-09-09 05:13:18.254917 : Epoch  4, Batch    620, Loss  0.862087, Average Loss  0.870451, Time  0.391822
2021-09-09 05:13:20.133842 : Epoch  4, Batch    621, Loss  0.861865, Average Loss  0.870351, Time  0.455891
2021-09-09 05:13:21.904796 : Epoch  4, Batch    622, Loss  0.858774, Average Loss  0.870250, Time  0.356469
2021-09-09 05:13:23.688179 : Epoch  4, Batch    623, Loss  0.878674, Average Loss  0.870321, Time  0.359134
2021-09-09 05:13:25.501773 : Epoch  4, Batch    624, Loss  0.870950, Average Loss  0.870369, Time  0.387467
2021-09-09 05:13:27.506425 : Epoch  4, Batch    625, Loss  0.852416, Average Loss  0.870254, Time  0.519220
2021-09-09 05:13:29.448814 : Epoch  4, Batch    626, Loss  0.884008, Average Loss  0.870281, Time  0.477481
2021-09-09 05:13:31.336165 : Epoch  4, Batch    627, Loss  0.848483, Average Loss  0.870238, Time  0.397593
2021-09-09 05:13:33.228779 : Epoch  4, Batch    628, Loss  0.868615, Average Loss  0.870207, Time  0.402325
2021-09-09 05:13:35.108131 : Epoch  4, Batch    629, Loss  0.878569, Average Loss  0.870353, Time  0.407799
2021-09-09 05:13:37.069695 : Epoch  4, Batch    630, Loss  0.897358, Average Loss  0.870355, Time  0.488654
2021-09-09 05:13:38.975823 : Epoch  4, Batch    631, Loss  0.872757, Average Loss  0.870455, Time  0.459661
2021-09-09 05:13:40.767959 : Epoch  4, Batch    632, Loss  0.865341, Average Loss  0.870392, Time  0.361993
2021-09-09 05:13:42.593768 : Epoch  4, Batch    633, Loss  0.883855, Average Loss  0.870400, Time  0.370303
2021-09-09 05:13:44.410373 : Epoch  4, Batch    634, Loss  0.850819, Average Loss  0.870256, Time  0.399181
2021-09-09 05:13:46.300815 : Epoch  4, Batch    635, Loss  0.890146, Average Loss  0.870465, Time  0.452533
2021-09-09 05:13:48.109956 : Epoch  4, Batch    636, Loss  0.857278, Average Loss  0.870252, Time  0.360501
2021-09-09 05:13:49.894183 : Epoch  4, Batch    637, Loss  0.880252, Average Loss  0.870302, Time  0.356219
2021-09-09 05:13:51.727056 : Epoch  4, Batch    638, Loss  0.884682, Average Loss  0.870334, Time  0.389890
2021-09-09 05:13:53.721349 : Epoch  4, Batch    639, Loss  0.874948, Average Loss  0.870473, Time  0.487870
2021-09-09 05:13:55.677795 : Epoch  4, Batch    640, Loss  0.910501, Average Loss  0.870688, Time  0.487769
2021-09-09 05:13:57.566855 : Epoch  4, Batch    641, Loss  0.855351, Average Loss  0.870545, Time  0.426934
2021-09-09 05:13:59.445031 : Epoch  4, Batch    642, Loss  0.874533, Average Loss  0.870567, Time  0.412996
2021-09-09 05:14:01.317174 : Epoch  4, Batch    643, Loss  0.865893, Average Loss  0.870667, Time  0.405602
2021-09-09 05:14:03.336230 : Epoch  4, Batch    644, Loss  0.855814, Average Loss  0.870571, Time  0.502393
2021-09-09 05:14:05.313776 : Epoch  4, Batch    645, Loss  0.885201, Average Loss  0.870662, Time  0.503842
2021-09-09 05:14:07.272167 : Epoch  4, Batch    646, Loss  0.862469, Average Loss  0.870634, Time  0.481687
2021-09-09 05:14:09.061274 : Epoch  4, Batch    647, Loss  0.919966, Average Loss  0.871042, Time  0.364034
2021-09-09 05:14:10.841806 : Epoch  4, Batch    648, Loss  0.850430, Average Loss  0.870762, Time  0.357486
2021-09-09 05:14:12.711006 : Epoch  4, Batch    649, Loss  0.898663, Average Loss  0.870742, Time  0.413708
2021-09-09 05:14:14.693784 : Epoch  4, Batch    650, Loss  0.857882, Average Loss  0.870587, Time  0.506702
2021-09-09 05:14:16.566944 : Epoch  4, Batch    651, Loss  0.876412, Average Loss  0.870606, Time  0.416349
2021-09-09 05:14:18.439826 : Epoch  4, Batch    652, Loss  0.855676, Average Loss  0.870560, Time  0.397190
2021-09-09 05:14:20.304957 : Epoch  4, Batch    653, Loss  0.860075, Average Loss  0.870512, Time  0.400615
2021-09-09 05:14:22.144353 : Epoch  4, Batch    654, Loss  0.860926, Average Loss  0.870491, Time  0.422197
2021-09-09 05:14:24.178296 : Epoch  4, Batch    655, Loss  0.845581, Average Loss  0.870382, Time  0.507248
2021-09-09 05:14:26.138847 : Epoch  4, Batch    656, Loss  0.869912, Average Loss  0.870413, Time  0.486153
2021-09-09 05:14:28.048818 : Epoch  4, Batch    657, Loss  0.878904, Average Loss  0.870476, Time  0.423961
2021-09-09 05:14:29.931663 : Epoch  4, Batch    658, Loss  0.855934, Average Loss  0.870261, Time  0.401337
2021-09-09 05:14:31.723778 : Epoch  4, Batch    659, Loss  0.845775, Average Loss  0.870138, Time  0.352500
2021-09-09 05:14:33.599021 : Epoch  4, Batch    660, Loss  0.880611, Average Loss  0.870066, Time  0.454211
2021-09-09 05:14:35.433861 : Epoch  4, Batch    661, Loss  0.852986, Average Loss  0.870124, Time  0.415894
2021-09-09 05:14:37.310976 : Epoch  4, Batch    662, Loss  0.841850, Average Loss  0.870147, Time  0.409986
2021-09-09 05:14:39.285794 : Epoch  4, Batch    663, Loss  0.859849, Average Loss  0.870201, Time  0.407508
2021-09-09 05:14:41.189865 : Epoch  4, Batch    664, Loss  0.885147, Average Loss  0.870312, Time  0.411680
2021-09-09 05:14:43.138774 : Epoch  4, Batch    665, Loss  0.890092, Average Loss  0.870502, Time  0.454660
2021-09-09 05:14:45.039348 : Epoch  4, Batch    666, Loss  0.847857, Average Loss  0.870306, Time  0.462369
2021-09-09 05:14:46.838006 : Epoch  4, Batch    667, Loss  0.827276, Average Loss  0.870253, Time  0.359855
2021-09-09 05:19:43.040741 : CheckPoint: Validation Loss  0.00060464, Best Loss  0.00057084
2021-09-09 05:19:44.887047 : Epoch  4, Batch    668, Loss  0.870104, Average Loss  0.870232, Time  0.418914
2021-09-09 05:19:46.808001 : Epoch  4, Batch    669, Loss  0.869776, Average Loss  0.870316, Time  0.366269
2021-09-09 05:19:48.584015 : Epoch  4, Batch    670, Loss  0.844191, Average Loss  0.870224, Time  0.355166
2021-09-09 05:19:50.498833 : Epoch  4, Batch    671, Loss  0.853850, Average Loss  0.870221, Time  0.439768
2021-09-09 05:19:52.441020 : Epoch  4, Batch    672, Loss  0.859330, Average Loss  0.870200, Time  0.478953
2021-09-09 05:19:54.320876 : Epoch  4, Batch    673, Loss  0.846094, Average Loss  0.870206, Time  0.413620
2021-09-09 05:19:56.207990 : Epoch  4, Batch    674, Loss  0.869367, Average Loss  0.870136, Time  0.400430
2021-09-09 05:19:58.122829 : Epoch  4, Batch    675, Loss  0.872486, Average Loss  0.870192, Time  0.399910
2021-09-09 05:20:00.035799 : Epoch  4, Batch    676, Loss  0.884788, Average Loss  0.870419, Time  0.454523
2021-09-09 05:20:01.989184 : Epoch  4, Batch    677, Loss  0.863139, Average Loss  0.870388, Time  0.493068
2021-09-09 05:20:03.962775 : Epoch  4, Batch    678, Loss  0.866437, Average Loss  0.870418, Time  0.490447
2021-09-09 05:20:05.882697 : Epoch  4, Batch    679, Loss  0.866707, Average Loss  0.870505, Time  0.410665
2021-09-09 05:20:07.780183 : Epoch  4, Batch    680, Loss  0.879485, Average Loss  0.870552, Time  0.401656
2021-09-09 05:20:09.653869 : Epoch  4, Batch    681, Loss  0.858993, Average Loss  0.870315, Time  0.398420
2021-09-09 05:20:11.601997 : Epoch  4, Batch    682, Loss  0.846933, Average Loss  0.870185, Time  0.490415
2021-09-09 05:20:13.530164 : Epoch  4, Batch    683, Loss  0.867826, Average Loss  0.870186, Time  0.452910
2021-09-09 05:20:15.343150 : Epoch  4, Batch    684, Loss  0.886962, Average Loss  0.870153, Time  0.369202
2021-09-09 05:20:17.219847 : Epoch  4, Batch    685, Loss  0.872784, Average Loss  0.870262, Time  0.398786
2021-09-09 05:20:19.098868 : Epoch  4, Batch    686, Loss  0.872982, Average Loss  0.870248, Time  0.410602
2021-09-09 05:20:21.061221 : Epoch  4, Batch    687, Loss  0.848801, Average Loss  0.870376, Time  0.489217
2021-09-09 05:20:23.010481 : Epoch  4, Batch    688, Loss  0.858375, Average Loss  0.870474, Time  0.488381
2021-09-09 05:20:24.896150 : Epoch  4, Batch    689, Loss  0.864302, Average Loss  0.870528, Time  0.400448
2021-09-09 05:20:26.762779 : Epoch  4, Batch    690, Loss  0.888488, Average Loss  0.870665, Time  0.397629
2021-09-09 05:20:28.627196 : Epoch  4, Batch    691, Loss  0.881859, Average Loss  0.870778, Time  0.397198
2021-09-09 05:20:30.619817 : Epoch  4, Batch    692, Loss  0.847126, Average Loss  0.870758, Time  0.492739
2021-09-09 05:20:32.588155 : Epoch  4, Batch    693, Loss  0.875204, Average Loss  0.870725, Time  0.486326
2021-09-09 05:20:34.455787 : Epoch  4, Batch    694, Loss  0.864270, Average Loss  0.870702, Time  0.397340
2021-09-09 05:20:36.321053 : Epoch  4, Batch    695, Loss  0.898842, Average Loss  0.870855, Time  0.403673
2021-09-09 05:20:38.174007 : Epoch  4, Batch    696, Loss  0.875465, Average Loss  0.870876, Time  0.398994
2021-09-09 05:20:40.132321 : Epoch  4, Batch    697, Loss  0.866281, Average Loss  0.870956, Time  0.483302
2021-09-09 05:20:42.089209 : Epoch  4, Batch    698, Loss  0.881721, Average Loss  0.870994, Time  0.482400
2021-09-09 05:20:43.930807 : Epoch  4, Batch    699, Loss  0.847690, Average Loss  0.870993, Time  0.361646
2021-09-09 05:20:45.798124 : Epoch  4, Batch    700, Loss  0.874553, Average Loss  0.870858, Time  0.362532
2021-09-09 05:20:47.653044 : Epoch  4, Batch    701, Loss  0.890892, Average Loss  0.870998, Time  0.360846
2021-09-09 05:20:49.650278 : Epoch  4, Batch    702, Loss  0.863853, Average Loss  0.871165, Time  0.512341
2021-09-09 05:20:51.616250 : Epoch  4, Batch    703, Loss  0.858968, Average Loss  0.871076, Time  0.494990
2021-09-09 05:20:53.477824 : Epoch  4, Batch    704, Loss  0.877953, Average Loss  0.871041, Time  0.406558
2021-09-09 05:20:55.390788 : Epoch  4, Batch    705, Loss  0.872342, Average Loss  0.871093, Time  0.401437
2021-09-09 05:20:57.259314 : Epoch  4, Batch    706, Loss  0.870240, Average Loss  0.871037, Time  0.398163
2021-09-09 05:20:59.143780 : Epoch  4, Batch    707, Loss  0.874792, Average Loss  0.871106, Time  0.406058
2021-09-09 05:21:01.060070 : Epoch  4, Batch    708, Loss  0.875249, Average Loss  0.871176, Time  0.454562
2021-09-09 05:21:03.133108 : Epoch  4, Batch    709, Loss  0.878819, Average Loss  0.871220, Time  0.490135
2021-09-09 05:21:05.026364 : Epoch  4, Batch    710, Loss  0.870244, Average Loss  0.871128, Time  0.422863
2021-09-09 05:21:06.958175 : Epoch  4, Batch    711, Loss  0.851091, Average Loss  0.870985, Time  0.425166
2021-09-09 05:21:08.857156 : Epoch  4, Batch    712, Loss  0.882097, Average Loss  0.871041, Time  0.415280
2021-09-09 05:21:10.814822 : Epoch  4, Batch    713, Loss  0.859065, Average Loss  0.870945, Time  0.397179
2021-09-09 05:21:12.809929 : Epoch  4, Batch    714, Loss  0.880736, Average Loss  0.870999, Time  0.504502
2021-09-09 05:21:14.945335 : Epoch  4, Batch    715, Loss  0.879676, Average Loss  0.870992, Time  0.553096
2021-09-09 05:21:16.931304 : Epoch  4, Batch    716, Loss  0.869927, Average Loss  0.871096, Time  0.488768
2021-09-09 05:21:18.943240 : Epoch  4, Batch    717, Loss  0.888635, Average Loss  0.871206, Time  0.496454
2021-09-09 05:21:20.863874 : Epoch  4, Batch    718, Loss  0.855177, Average Loss  0.871060, Time  0.411539
2021-09-09 05:21:22.753799 : Epoch  4, Batch    719, Loss  0.868154, Average Loss  0.871106, Time  0.414738
2021-09-09 05:21:24.555347 : Epoch  4, Batch    720, Loss  0.862366, Average Loss  0.871016, Time  0.365370
2021-09-09 05:21:26.491015 : Epoch  4, Batch    721, Loss  0.846114, Average Loss  0.870803, Time  0.456042
2021-09-09 05:21:28.469853 : Epoch  4, Batch    722, Loss  0.845584, Average Loss  0.870614, Time  0.481769
2021-09-09 05:21:30.360826 : Epoch  4, Batch    723, Loss  0.858657, Average Loss  0.870469, Time  0.401906
2021-09-09 05:21:32.241331 : Epoch  4, Batch    724, Loss  0.890707, Average Loss  0.870537, Time  0.397576
2021-09-09 05:21:34.111500 : Epoch  4, Batch    725, Loss  0.884931, Average Loss  0.870593, Time  0.398398
2021-09-09 05:21:36.051805 : Epoch  4, Batch    726, Loss  0.849899, Average Loss  0.870451, Time  0.470272
2021-09-09 05:21:38.011099 : Epoch  4, Batch    727, Loss  0.870166, Average Loss  0.870408, Time  0.486353
2021-09-09 05:21:40.012912 : Epoch  4, Batch    728, Loss  0.857518, Average Loss  0.870351, Time  0.501274
2021-09-09 05:21:41.899862 : Epoch  4, Batch    729, Loss  0.877831, Average Loss  0.870166, Time  0.397616
2021-09-09 05:21:43.794970 : Epoch  4, Batch    730, Loss  0.865889, Average Loss  0.869979, Time  0.400302
2021-09-09 05:21:45.657081 : Epoch  4, Batch    731, Loss  0.865462, Average Loss  0.869925, Time  0.398347
2021-09-09 05:21:47.616092 : Epoch  4, Batch    732, Loss  0.862143, Average Loss  0.869798, Time  0.488219
2021-09-09 05:21:49.582970 : Epoch  4, Batch    733, Loss  0.878897, Average Loss  0.869866, Time  0.487637
2021-09-09 05:21:51.450274 : Epoch  4, Batch    734, Loss  0.895846, Average Loss  0.869942, Time  0.411665
2021-09-09 05:21:53.310835 : Epoch  4, Batch    735, Loss  0.901953, Average Loss  0.870169, Time  0.398293
2021-09-09 05:21:55.204134 : Epoch  4, Batch    736, Loss  0.876672, Average Loss  0.870294, Time  0.397271
2021-09-09 05:21:57.160209 : Epoch  4, Batch    737, Loss  0.894417, Average Loss  0.870297, Time  0.452296
2021-09-09 05:21:59.131166 : Epoch  4, Batch    738, Loss  0.880364, Average Loss  0.870288, Time  0.488361
2021-09-09 05:22:01.083023 : Epoch  4, Batch    739, Loss  0.866939, Average Loss  0.870188, Time  0.474090
2021-09-09 05:22:02.961435 : Epoch  4, Batch    740, Loss  0.882654, Average Loss  0.870270, Time  0.402656
2021-09-09 05:22:04.858403 : Epoch  4, Batch    741, Loss  0.894955, Average Loss  0.870470, Time  0.399084
2021-09-09 05:22:06.736375 : Epoch  4, Batch    742, Loss  0.894713, Average Loss  0.870685, Time  0.402698
2021-09-09 05:22:08.704806 : Epoch  4, Batch    743, Loss  0.867921, Average Loss  0.870562, Time  0.494606
2021-09-09 05:22:10.664156 : Epoch  4, Batch    744, Loss  0.873365, Average Loss  0.870387, Time  0.479058
2021-09-09 05:22:12.469852 : Epoch  4, Batch    745, Loss  0.857218, Average Loss  0.870355, Time  0.352166
2021-09-09 05:22:14.387803 : Epoch  4, Batch    746, Loss  0.848575, Average Loss  0.870277, Time  0.398774
2021-09-09 05:22:16.298686 : Epoch  4, Batch    747, Loss  0.865502, Average Loss  0.870111, Time  0.406627
2021-09-09 05:22:18.264269 : Epoch  4, Batch    748, Loss  0.882453, Average Loss  0.870138, Time  0.487615
2021-09-09 05:22:20.217824 : Epoch  4, Batch    749, Loss  0.895801, Average Loss  0.870321, Time  0.486177
2021-09-09 05:22:22.192932 : Epoch  4, Batch    750, Loss  0.847833, Average Loss  0.870303, Time  0.486228
2021-09-09 05:22:24.089840 : Epoch  4, Batch    751, Loss  0.866213, Average Loss  0.870432, Time  0.399316
2021-09-09 05:22:25.984041 : Epoch  4, Batch    752, Loss  0.870040, Average Loss  0.870539, Time  0.396809
2021-09-09 05:22:27.853185 : Epoch  4, Batch    753, Loss  0.877744, Average Loss  0.870679, Time  0.396243
2021-09-09 05:22:29.797345 : Epoch  4, Batch    754, Loss  0.853780, Average Loss  0.870550, Time  0.483681
2021-09-09 05:22:31.750004 : Epoch  4, Batch    755, Loss  0.851717, Average Loss  0.870468, Time  0.483137
2021-09-09 05:22:33.573276 : Epoch  4, Batch    756, Loss  0.892437, Average Loss  0.870565, Time  0.359472
2021-09-09 05:22:35.359288 : Epoch  4, Batch    757, Loss  0.864715, Average Loss  0.870575, Time  0.360464
2021-09-09 05:22:37.163121 : Epoch  4, Batch    758, Loss  0.859956, Average Loss  0.870485, Time  0.367026
2021-09-09 05:22:38.999497 : Epoch  4, Batch    759, Loss  0.868789, Average Loss  0.870557, Time  0.418890
2021-09-09 05:22:40.937335 : Epoch  4, Batch    760, Loss  0.888180, Average Loss  0.870651, Time  0.417236
2021-09-09 05:22:42.814904 : Epoch  4, Batch    761, Loss  0.883722, Average Loss  0.870779, Time  0.417660
2021-09-09 05:22:44.701305 : Epoch  4, Batch    762, Loss  0.857978, Average Loss  0.870797, Time  0.399700
2021-09-09 05:22:46.615400 : Epoch  4, Batch    763, Loss  0.880591, Average Loss  0.870818, Time  0.443079
2021-09-09 05:22:48.605894 : Epoch  4, Batch    764, Loss  0.843171, Average Loss  0.870603, Time  0.499618
2021-09-09 05:22:50.457164 : Epoch  4, Batch    765, Loss  0.833142, Average Loss  0.870364, Time  0.380158
2021-09-09 05:22:52.275061 : Epoch  4, Batch    766, Loss  0.858785, Average Loss  0.870388, Time  0.376476
2021-09-09 05:22:54.092051 : Epoch  4, Batch    767, Loss  0.903472, Average Loss  0.870481, Time  0.373909
2021-09-09 05:27:48.863715 : CheckPoint: Validation Loss  0.00060564, Best Loss  0.00057084
2021-09-09 05:27:50.771775 : Epoch  4, Batch    768, Loss  0.844496, Average Loss  0.870313, Time  0.472882
2021-09-09 05:27:52.712772 : Epoch  4, Batch    769, Loss  0.865707, Average Loss  0.870211, Time  0.470651
2021-09-09 05:27:54.552153 : Epoch  4, Batch    770, Loss  0.848993, Average Loss  0.869934, Time  0.377475
2021-09-09 05:27:56.457777 : Epoch  4, Batch    771, Loss  0.841510, Average Loss  0.869762, Time  0.367074
2021-09-09 05:27:58.293908 : Epoch  4, Batch    772, Loss  0.884206, Average Loss  0.869733, Time  0.364470
2021-09-09 05:28:00.200133 : Epoch  4, Batch    773, Loss  0.860389, Average Loss  0.869629, Time  0.449189
2021-09-09 05:28:02.186854 : Epoch  4, Batch    774, Loss  0.844941, Average Loss  0.869456, Time  0.485601
2021-09-09 05:28:04.063779 : Epoch  4, Batch    775, Loss  0.850276, Average Loss  0.869298, Time  0.398425
2021-09-09 05:28:05.935911 : Epoch  4, Batch    776, Loss  0.860679, Average Loss  0.869243, Time  0.400411
2021-09-09 05:28:07.798785 : Epoch  4, Batch    777, Loss  0.880428, Average Loss  0.869322, Time  0.396547
2021-09-09 05:28:09.722827 : Epoch  4, Batch    778, Loss  0.895325, Average Loss  0.869267, Time  0.453194
2021-09-09 05:28:11.589930 : Epoch  4, Batch    779, Loss  0.883173, Average Loss  0.869198, Time  0.425146
2021-09-09 05:28:13.399677 : Epoch  4, Batch    780, Loss  0.879889, Average Loss  0.869217, Time  0.360247
2021-09-09 05:28:15.297859 : Epoch  4, Batch    781, Loss  0.843993, Average Loss  0.869157, Time  0.399957
2021-09-09 05:28:17.190024 : Epoch  4, Batch    782, Loss  0.865308, Average Loss  0.869145, Time  0.422025
2021-09-09 05:28:19.162152 : Epoch  4, Batch    783, Loss  0.859330, Average Loss  0.869213, Time  0.492071
2021-09-09 05:28:21.109739 : Epoch  4, Batch    784, Loss  0.869784, Average Loss  0.869473, Time  0.453557
2021-09-09 05:28:22.988827 : Epoch  4, Batch    785, Loss  0.847028, Average Loss  0.869311, Time  0.400288
2021-09-09 05:28:24.867921 : Epoch  4, Batch    786, Loss  0.890699, Average Loss  0.869460, Time  0.396182
2021-09-09 05:28:26.722794 : Epoch  4, Batch    787, Loss  0.878186, Average Loss  0.869557, Time  0.406413
2021-09-09 05:28:28.671345 : Epoch  4, Batch    788, Loss  0.862342, Average Loss  0.869595, Time  0.483803
2021-09-09 05:28:30.639200 : Epoch  4, Batch    789, Loss  0.888146, Average Loss  0.869592, Time  0.477496
2021-09-09 05:28:32.531914 : Epoch  4, Batch    790, Loss  0.876279, Average Loss  0.869598, Time  0.401379
2021-09-09 05:28:34.412041 : Epoch  4, Batch    791, Loss  0.874023, Average Loss  0.869418, Time  0.398814
2021-09-09 05:28:36.267347 : Epoch  4, Batch    792, Loss  0.897309, Average Loss  0.869463, Time  0.397341
2021-09-09 05:28:38.297233 : Epoch  4, Batch    793, Loss  0.866456, Average Loss  0.869544, Time  0.490951
2021-09-09 05:28:40.276979 : Epoch  4, Batch    794, Loss  0.853935, Average Loss  0.869608, Time  0.484599
2021-09-09 05:28:42.182166 : Epoch  4, Batch    795, Loss  0.855776, Average Loss  0.869458, Time  0.397306
2021-09-09 05:28:44.068792 : Epoch  4, Batch    796, Loss  0.879565, Average Loss  0.869592, Time  0.395665
2021-09-09 05:28:45.931135 : Epoch  4, Batch    797, Loss  0.887632, Average Loss  0.869574, Time  0.397561
2021-09-09 05:28:47.879820 : Epoch  4, Batch    798, Loss  0.861409, Average Loss  0.869620, Time  0.486599
2021-09-09 05:28:49.843198 : Epoch  4, Batch    799, Loss  0.875974, Average Loss  0.869601, Time  0.486558
2021-09-09 05:28:51.750803 : Epoch  4, Batch    800, Loss  0.861311, Average Loss  0.869486, Time  0.439327
2021-09-09 05:28:53.620928 : Epoch  4, Batch    801, Loss  0.891455, Average Loss  0.869650, Time  0.398627
2021-09-09 05:28:55.510844 : Epoch  4, Batch    802, Loss  0.868975, Average Loss  0.869592, Time  0.397168
2021-09-09 05:28:57.400597 : Epoch  4, Batch    803, Loss  0.861714, Average Loss  0.869472, Time  0.421446
2021-09-09 05:28:59.348954 : Epoch  4, Batch    804, Loss  0.881450, Average Loss  0.869444, Time  0.477189
2021-09-09 05:29:01.312183 : Epoch  4, Batch    805, Loss  0.849429, Average Loss  0.869314, Time  0.491531
2021-09-09 05:29:03.216980 : Epoch  4, Batch    806, Loss  0.852874, Average Loss  0.869188, Time  0.403578
2021-09-09 05:29:05.095779 : Epoch  4, Batch    807, Loss  0.888849, Average Loss  0.869207, Time  0.402039
2021-09-09 05:29:06.960813 : Epoch  4, Batch    808, Loss  0.854069, Average Loss  0.869233, Time  0.396015
2021-09-09 05:29:08.907105 : Epoch  4, Batch    809, Loss  0.867555, Average Loss  0.869204, Time  0.449056
2021-09-09 05:29:10.795450 : Epoch  4, Batch    810, Loss  0.842460, Average Loss  0.868968, Time  0.449075
2021-09-09 05:29:12.704161 : Epoch  4, Batch    811, Loss  0.880560, Average Loss  0.868838, Time  0.399877
2021-09-09 05:29:14.606972 : Epoch  4, Batch    812, Loss  0.887414, Average Loss  0.868910, Time  0.397849
2021-09-09 05:29:16.493883 : Epoch  4, Batch    813, Loss  0.870872, Average Loss  0.869065, Time  0.401352
2021-09-09 05:29:18.489777 : Epoch  4, Batch    814, Loss  0.853810, Average Loss  0.868980, Time  0.495873
2021-09-09 05:29:20.454363 : Epoch  4, Batch    815, Loss  0.817311, Average Loss  0.868546, Time  0.495576
2021-09-09 05:29:22.352941 : Epoch  4, Batch    816, Loss  0.835497, Average Loss  0.868498, Time  0.447989
2021-09-09 05:29:24.157217 : Epoch  4, Batch    817, Loss  0.891579, Average Loss  0.868639, Time  0.360011
2021-09-09 05:29:26.027151 : Epoch  4, Batch    818, Loss  0.858094, Average Loss  0.868602, Time  0.407094
2021-09-09 05:29:27.905948 : Epoch  4, Batch    819, Loss  0.854383, Average Loss  0.868636, Time  0.412806
2021-09-09 05:29:29.863481 : Epoch  4, Batch    820, Loss  0.853691, Average Loss  0.868594, Time  0.486826
2021-09-09 05:29:31.844973 : Epoch  4, Batch    821, Loss  0.876518, Average Loss  0.868667, Time  0.484970
2021-09-09 05:29:33.720244 : Epoch  4, Batch    822, Loss  0.865687, Average Loss  0.868702, Time  0.403699
2021-09-09 05:29:35.599794 : Epoch  4, Batch    823, Loss  0.860563, Average Loss  0.868611, Time  0.408064
2021-09-09 05:29:37.471440 : Epoch  4, Batch    824, Loss  0.861800, Average Loss  0.868565, Time  0.400080
2021-09-09 05:29:39.442941 : Epoch  4, Batch    825, Loss  0.876406, Average Loss  0.868685, Time  0.481006
2021-09-09 05:29:41.383880 : Epoch  4, Batch    826, Loss  0.848275, Average Loss  0.868507, Time  0.473566
2021-09-09 05:29:43.275807 : Epoch  4, Batch    827, Loss  0.858305, Average Loss  0.868556, Time  0.409494
2021-09-09 05:29:45.148156 : Epoch  4, Batch    828, Loss  0.852360, Average Loss  0.868475, Time  0.398455
2021-09-09 05:29:47.014528 : Epoch  4, Batch    829, Loss  0.865761, Average Loss  0.868411, Time  0.397426
2021-09-09 05:29:48.973102 : Epoch  4, Batch    830, Loss  0.867805, Average Loss  0.868263, Time  0.486426
2021-09-09 05:29:50.903790 : Epoch  4, Batch    831, Loss  0.848771, Average Loss  0.868143, Time  0.463834
2021-09-09 05:29:52.776828 : Epoch  4, Batch    832, Loss  0.898440, Average Loss  0.868308, Time  0.404667
2021-09-09 05:29:54.680356 : Epoch  4, Batch    833, Loss  0.878806, Average Loss  0.868283, Time  0.399713
2021-09-09 05:29:56.567853 : Epoch  4, Batch    834, Loss  0.863988, Average Loss  0.868349, Time  0.403874
2021-09-09 05:29:58.528031 : Epoch  4, Batch    835, Loss  0.876508, Average Loss  0.868281, Time  0.487121
2021-09-09 05:30:00.484267 : Epoch  4, Batch    836, Loss  0.848708, Average Loss  0.868238, Time  0.484430
2021-09-09 05:30:02.355819 : Epoch  4, Batch    837, Loss  0.881852, Average Loss  0.868246, Time  0.400649
2021-09-09 05:30:04.245533 : Epoch  4, Batch    838, Loss  0.870247, Average Loss  0.868174, Time  0.402294
2021-09-09 05:30:06.085558 : Epoch  4, Batch    839, Loss  0.877390, Average Loss  0.868186, Time  0.375975
2021-09-09 05:30:07.985131 : Epoch  4, Batch    840, Loss  0.873061, Average Loss  0.867999, Time  0.464157
2021-09-09 05:30:09.982809 : Epoch  4, Batch    841, Loss  0.858006, Average Loss  0.868012, Time  0.530368
2021-09-09 05:30:11.850990 : Epoch  4, Batch    842, Loss  0.895183, Average Loss  0.868115, Time  0.397267
2021-09-09 05:30:13.738312 : Epoch  4, Batch    843, Loss  0.890709, Average Loss  0.868239, Time  0.401753
2021-09-09 05:30:15.623922 : Epoch  4, Batch    844, Loss  0.887174, Average Loss  0.868396, Time  0.407432
2021-09-09 05:30:17.605474 : Epoch  4, Batch    845, Loss  0.870428, Average Loss  0.868322, Time  0.514954
2021-09-09 05:30:19.571579 : Epoch  4, Batch    846, Loss  0.856909, Average Loss  0.868295, Time  0.483698
2021-09-09 05:30:21.461368 : Epoch  4, Batch    847, Loss  0.864882, Average Loss  0.868019, Time  0.404060
2021-09-09 05:30:23.335066 : Epoch  4, Batch    848, Loss  0.858147, Average Loss  0.868058, Time  0.358055
2021-09-09 05:30:25.157861 : Epoch  4, Batch    849, Loss  0.893152, Average Loss  0.868030, Time  0.367853
2021-09-09 05:30:27.076360 : Epoch  4, Batch    850, Loss  0.870456, Average Loss  0.868093, Time  0.454372
2021-09-09 05:30:28.921915 : Epoch  4, Batch    851, Loss  0.853198, Average Loss  0.867977, Time  0.417050
2021-09-09 05:30:30.724812 : Epoch  4, Batch    852, Loss  0.885771, Average Loss  0.868127, Time  0.358628
2021-09-09 05:30:32.941249 : Epoch  4, Batch    853, Loss  0.868462, Average Loss  0.868169, Time  0.360425
2021-09-09 05:30:34.769965 : Epoch  4, Batch    854, Loss  0.859113, Average Loss  0.868160, Time  0.359797
2021-09-09 05:30:36.692226 : Epoch  4, Batch    855, Loss  0.836146, Average Loss  0.868113, Time  0.427410
2021-09-09 05:30:38.474178 : Epoch  4, Batch    856, Loss  0.861269, Average Loss  0.868070, Time  0.367240
2021-09-09 05:30:40.295185 : Epoch  4, Batch    857, Loss  0.877451, Average Loss  0.868063, Time  0.359606
2021-09-09 05:30:42.177842 : Epoch  4, Batch    858, Loss  0.860767, Average Loss  0.868087, Time  0.445683
2021-09-09 05:30:44.106347 : Epoch  4, Batch    859, Loss  0.878024, Average Loss  0.868248, Time  0.480346
2021-09-09 05:30:45.892185 : Epoch  4, Batch    860, Loss  0.861282, Average Loss  0.868151, Time  0.365568
2021-09-09 05:30:47.681871 : Epoch  4, Batch    861, Loss  0.884656, Average Loss  0.868310, Time  0.358346
2021-09-09 05:30:49.500999 : Epoch  4, Batch    862, Loss  0.867326, Average Loss  0.868437, Time  0.357483
2021-09-09 05:30:51.508994 : Epoch  4, Batch    863, Loss  0.872549, Average Loss  0.868501, Time  0.502038
2021-09-09 05:30:53.456110 : Epoch  4, Batch    864, Loss  0.902037, Average Loss  0.868585, Time  0.440776
2021-09-09 05:30:55.465942 : Epoch  4, Batch    865, Loss  0.840551, Average Loss  0.868337, Time  0.434712
2021-09-09 05:30:57.334796 : Epoch  4, Batch    866, Loss  0.883809, Average Loss  0.868517, Time  0.399581
2021-09-09 05:31:04.849451 : Epoch  4, Batch    867, Loss  0.844059, Average Loss  0.868601, Time  0.498868
2021-09-09 05:35:59.713728 : CheckPoint: Validation Loss  0.00059041, Best Loss  0.00057084
2021-09-09 05:36:01.516916 : Epoch  4, Batch    868, Loss  0.837855, Average Loss  0.868440, Time  0.341780
2021-09-09 05:36:03.357085 : Epoch  4, Batch    869, Loss  0.841098, Average Loss  0.868296, Time  0.414266
2021-09-09 05:36:05.124231 : Epoch  4, Batch    870, Loss  0.829175, Average Loss  0.868221, Time  0.345734
2021-09-09 05:36:07.001912 : Epoch  4, Batch    871, Loss  0.871933, Average Loss  0.868312, Time  0.398118
2021-09-09 05:36:08.981836 : Epoch  4, Batch    872, Loss  0.892793, Average Loss  0.868479, Time  0.471413
2021-09-09 05:36:10.881962 : Epoch  4, Batch    873, Loss  0.858186, Average Loss  0.868540, Time  0.394714
2021-09-09 05:36:12.732829 : Epoch  4, Batch    874, Loss  0.902171, Average Loss  0.868704, Time  0.383621
2021-09-09 05:36:14.575537 : Epoch  4, Batch    875, Loss  0.881473, Average Loss  0.868748, Time  0.378147
2021-09-09 05:36:16.354773 : Epoch  4, Batch    876, Loss  0.853506, Average Loss  0.868592, Time  0.328378
2021-09-09 05:36:18.237979 : Epoch  4, Batch    877, Loss  0.849456, Average Loss  0.868524, Time  0.453121
2021-09-09 05:36:20.075776 : Epoch  4, Batch    878, Loss  0.844905, Average Loss  0.868416, Time  0.349806
2021-09-09 05:36:21.865843 : Epoch  4, Batch    879, Loss  0.826288, Average Loss  0.868214, Time  0.356290
2021-09-09 05:36:23.717776 : Epoch  4, Batch    880, Loss  0.881476, Average Loss  0.868224, Time  0.412218
2021-09-09 05:36:25.508974 : Epoch  4, Batch    881, Loss  0.887797, Average Loss  0.868368, Time  0.356071
2021-09-09 05:36:27.343023 : Epoch  4, Batch    882, Loss  0.857945, Average Loss  0.868423, Time  0.369315
2021-09-09 05:36:29.092435 : Epoch  4, Batch    883, Loss  0.852794, Average Loss  0.868348, Time  0.329128
2021-09-09 05:36:30.939413 : Epoch  4, Batch    884, Loss  0.828784, Average Loss  0.868057, Time  0.362815
2021-09-09 05:36:32.816787 : Epoch  4, Batch    885, Loss  0.853796, Average Loss  0.867962, Time  0.446753
2021-09-09 05:36:34.611492 : Epoch  4, Batch    886, Loss  0.866661, Average Loss  0.867930, Time  0.357886
2021-09-09 05:36:36.543257 : Epoch  4, Batch    887, Loss  0.833505, Average Loss  0.867854, Time  0.455371
2021-09-09 05:36:38.396156 : Epoch  4, Batch    888, Loss  0.868979, Average Loss  0.867907, Time  0.373024
2021-09-09 05:36:40.259003 : Epoch  4, Batch    889, Loss  0.846888, Average Loss  0.867820, Time  0.346248
2021-09-09 05:36:42.186929 : Epoch  4, Batch    890, Loss  0.873664, Average Loss  0.867746, Time  0.446136
2021-09-09 05:36:44.060496 : Epoch  4, Batch    891, Loss  0.883940, Average Loss  0.867756, Time  0.396443
2021-09-09 05:36:45.934278 : Epoch  4, Batch    892, Loss  0.876418, Average Loss  0.867903, Time  0.413761
2021-09-09 05:36:47.769548 : Epoch  4, Batch    893, Loss  0.883540, Average Loss  0.867944, Time  0.372131
2021-09-09 05:36:49.638044 : Epoch  4, Batch    894, Loss  0.885778, Average Loss  0.868052, Time  0.379748
2021-09-09 05:36:51.618101 : Epoch  4, Batch    895, Loss  0.883130, Average Loss  0.867973, Time  0.448811
2021-09-09 05:36:53.496838 : Epoch  4, Batch    896, Loss  0.881102, Average Loss  0.868001, Time  0.396986
2021-09-09 05:36:55.394666 : Epoch  4, Batch    897, Loss  0.851342, Average Loss  0.867927, Time  0.400075
2021-09-09 05:36:57.289792 : Epoch  4, Batch    898, Loss  0.856496, Average Loss  0.867801, Time  0.423708
2021-09-09 05:36:59.148788 : Epoch  4, Batch    899, Loss  0.867979, Average Loss  0.867902, Time  0.396084
2021-09-09 05:37:01.021970 : Epoch  4, Batch    900, Loss  0.870664, Average Loss  0.867883, Time  0.404305
2021-09-09 05:37:02.945846 : Epoch  4, Batch    901, Loss  0.867360, Average Loss  0.867765, Time  0.462624
2021-09-09 05:37:04.809256 : Epoch  4, Batch    902, Loss  0.877630, Average Loss  0.867834, Time  0.397876
2021-09-09 05:37:06.601781 : Epoch  4, Batch    903, Loss  0.851779, Average Loss  0.867798, Time  0.342248
2021-09-09 05:37:08.433975 : Epoch  4, Batch    904, Loss  0.858079, Average Loss  0.867698, Time  0.358948
2021-09-09 05:37:10.220202 : Epoch  4, Batch    905, Loss  0.859688, Average Loss  0.867635, Time  0.355886
2021-09-09 05:37:12.027557 : Epoch  4, Batch    906, Loss  0.858843, Average Loss  0.867578, Time  0.366991
2021-09-09 05:37:13.946847 : Epoch  4, Batch    907, Loss  0.870059, Average Loss  0.867555, Time  0.353580
2021-09-09 05:37:15.879269 : Epoch  4, Batch    908, Loss  0.894400, Average Loss  0.867650, Time  0.463341
2021-09-09 05:37:17.718860 : Epoch  4, Batch    909, Loss  0.844388, Average Loss  0.867478, Time  0.373092
2021-09-09 05:37:19.715202 : Epoch  4, Batch    910, Loss  0.898791, Average Loss  0.867621, Time  0.393437
2021-09-09 05:37:21.670801 : Epoch  4, Batch    911, Loss  0.881834, Average Loss  0.867775, Time  0.480777
2021-09-09 05:37:23.583843 : Epoch  4, Batch    912, Loss  0.856354, Average Loss  0.867646, Time  0.393206
2021-09-09 05:37:25.545795 : Epoch  4, Batch    913, Loss  0.885992, Average Loss  0.867781, Time  0.450073
2021-09-09 05:37:27.423172 : Epoch  4, Batch    914, Loss  0.860431, Average Loss  0.867679, Time  0.388267
2021-09-09 05:37:29.295039 : Epoch  4, Batch    915, Loss  0.872774, Average Loss  0.867644, Time  0.409306
2021-09-09 05:37:31.386966 : Epoch  4, Batch    916, Loss  0.873659, Average Loss  0.867663, Time  0.474075
2021-09-09 05:37:33.244008 : Epoch  4, Batch    917, Loss  0.883510, Average Loss  0.867638, Time  0.384691
2021-09-09 05:37:35.164909 : Epoch  4, Batch    918, Loss  0.876565, Average Loss  0.867744, Time  0.466366
2021-09-09 05:37:37.040280 : Epoch  4, Batch    919, Loss  0.851957, Average Loss  0.867663, Time  0.398988
2021-09-09 05:37:38.852786 : Epoch  4, Batch    920, Loss  0.898409, Average Loss  0.867844, Time  0.350349
2021-09-09 05:37:40.625146 : Epoch  4, Batch    921, Loss  0.852177, Average Loss  0.867874, Time  0.332307
2021-09-09 05:37:42.398433 : Epoch  4, Batch    922, Loss  0.897714, Average Loss  0.868135, Time  0.332809
2021-09-09 05:37:44.347062 : Epoch  4, Batch    923, Loss  0.849457, Average Loss  0.868089, Time  0.428462
2021-09-09 05:37:46.142380 : Epoch  4, Batch    924, Loss  0.864458, Average Loss  0.867957, Time  0.350591
2021-09-09 05:37:48.003935 : Epoch  4, Batch    925, Loss  0.902780, Average Loss  0.868047, Time  0.420586
2021-09-09 05:37:49.811525 : Epoch  4, Batch    926, Loss  0.867594, Average Loss  0.868135, Time  0.334553
2021-09-09 05:37:51.686839 : Epoch  4, Batch    927, Loss  0.881082, Average Loss  0.868190, Time  0.385362
2021-09-09 05:37:53.668837 : Epoch  4, Batch    928, Loss  0.883784, Average Loss  0.868321, Time  0.451091
2021-09-09 05:37:55.553204 : Epoch  4, Batch    929, Loss  0.888717, Average Loss  0.868375, Time  0.388840
2021-09-09 05:37:57.501496 : Epoch  4, Batch    930, Loss  0.899475, Average Loss  0.868543, Time  0.395937
2021-09-09 05:37:59.390209 : Epoch  4, Batch    931, Loss  0.904002, Average Loss  0.868736, Time  0.372689
2021-09-09 05:38:01.324308 : Epoch  4, Batch    932, Loss  0.887739, Average Loss  0.868864, Time  0.446278
2021-09-09 05:38:03.251305 : Epoch  4, Batch    933, Loss  0.881030, Average Loss  0.868875, Time  0.445448
2021-09-09 05:38:05.173428 : Epoch  4, Batch    934, Loss  0.858991, Average Loss  0.868690, Time  0.444919
2021-09-09 05:38:06.999827 : Epoch  4, Batch    935, Loss  0.851193, Average Loss  0.868437, Time  0.363246
2021-09-09 05:38:08.915046 : Epoch  4, Batch    936, Loss  0.869851, Average Loss  0.868403, Time  0.422656
2021-09-09 05:38:10.688402 : Epoch  4, Batch    937, Loss  0.872342, Average Loss  0.868292, Time  0.351362
2021-09-09 05:38:12.466835 : Epoch  4, Batch    938, Loss  0.866537, Average Loss  0.868223, Time  0.351785
2021-09-09 05:38:14.333271 : Epoch  4, Batch    939, Loss  0.858414, Average Loss  0.868180, Time  0.440393
2021-09-09 05:38:16.115149 : Epoch  4, Batch    940, Loss  0.858572, Average Loss  0.868060, Time  0.337188
2021-09-09 05:38:17.963242 : Epoch  4, Batch    941, Loss  0.847462, Average Loss  0.867823, Time  0.392182
2021-09-09 05:38:19.796839 : Epoch  4, Batch    942, Loss  0.837336, Average Loss  0.867536, Time  0.389687
2021-09-09 05:38:21.610997 : Epoch  4, Batch    943, Loss  0.860164, Average Loss  0.867497, Time  0.366732
2021-09-09 05:38:23.562828 : Epoch  4, Batch    944, Loss  0.868555, Average Loss  0.867473, Time  0.369531
2021-09-09 05:38:25.473904 : Epoch  4, Batch    945, Loss  0.842390, Average Loss  0.867399, Time  0.406762
2021-09-09 05:38:27.408027 : Epoch  4, Batch    946, Loss  0.893773, Average Loss  0.867625, Time  0.454110
2021-09-09 05:38:29.333188 : Epoch  4, Batch    947, Loss  0.894420, Average Loss  0.867769, Time  0.445724
2021-09-09 05:38:31.070873 : Epoch  4, Batch    948, Loss  0.869373, Average Loss  0.867704, Time  0.374624
2021-09-09 05:38:32.956816 : Epoch  4, Batch    949, Loss  0.856855, Average Loss  0.867509, Time  0.418662
2021-09-09 05:38:34.910766 : Epoch  4, Batch    950, Loss  0.887324, Average Loss  0.867707, Time  0.487367
2021-09-09 05:38:36.829794 : Epoch  4, Batch    951, Loss  0.834298, Average Loss  0.867547, Time  0.425984
2021-09-09 05:38:38.749483 : Epoch  4, Batch    952, Loss  0.875144, Average Loss  0.867573, Time  0.444142
2021-09-09 05:38:40.560787 : Epoch  4, Batch    953, Loss  0.869177, Average Loss  0.867530, Time  0.357206
2021-09-09 05:38:42.370793 : Epoch  4, Batch    954, Loss  0.874336, Average Loss  0.867632, Time  0.355405
2021-09-09 05:38:44.252830 : Epoch  4, Batch    955, Loss  0.855698, Average Loss  0.867652, Time  0.437793
2021-09-09 05:38:46.025755 : Epoch  4, Batch    956, Loss  0.866468, Average Loss  0.867523, Time  0.346634
2021-09-09 05:38:47.976939 : Epoch  4, Batch    957, Loss  0.855482, Average Loss  0.867476, Time  0.436203
2021-09-09 05:38:49.876102 : Epoch  4, Batch    958, Loss  0.858679, Average Loss  0.867470, Time  0.406751
2021-09-09 05:38:51.751405 : Epoch  4, Batch    959, Loss  0.877006, Average Loss  0.867511, Time  0.398631
2021-09-09 05:38:53.619416 : Epoch  4, Batch    960, Loss  0.878621, Average Loss  0.867463, Time  0.413711
2021-09-09 05:38:55.399938 : Epoch  4, Batch    961, Loss  0.879111, Average Loss  0.867440, Time  0.353585
2021-09-09 05:38:57.189885 : Epoch  4, Batch    962, Loss  0.852014, Average Loss  0.867410, Time  0.375535
2021-09-09 05:38:58.964515 : Epoch  4, Batch    963, Loss  0.873405, Average Loss  0.867374, Time  0.343589
2021-09-09 05:39:00.827996 : Epoch  4, Batch    964, Loss  0.839710, Average Loss  0.867357, Time  0.399974
2021-09-09 05:39:02.735795 : Epoch  4, Batch    965, Loss  0.875465, Average Loss  0.867569, Time  0.441643
2021-09-09 05:39:04.597829 : Epoch  4, Batch    966, Loss  0.842304, Average Loss  0.867486, Time  0.384808
2021-09-09 05:39:06.462799 : Epoch  4, Batch    967, Loss  0.847326, Average Loss  0.867206, Time  0.389149
2021-09-09 05:44:01.039720 : CheckPoint: Validation Loss  0.00060821, Best Loss  0.00057084
2021-09-09 05:44:02.929784 : Epoch  4, Batch    968, Loss  0.851790, Average Loss  0.867242, Time  0.451671
2021-09-09 05:44:04.790101 : Epoch  4, Batch    969, Loss  0.887201, Average Loss  0.867350, Time  0.347852
2021-09-09 05:44:06.604809 : Epoch  4, Batch    970, Loss  0.868698, Average Loss  0.867448, Time  0.378606
2021-09-09 05:44:08.441790 : Epoch  4, Batch    971, Loss  0.875405, Average Loss  0.867618, Time  0.341369
2021-09-09 05:44:10.218773 : Epoch  4, Batch    972, Loss  0.856262, Average Loss  0.867478, Time  0.345445
2021-09-09 05:44:12.017473 : Epoch  4, Batch    973, Loss  0.849208, Average Loss  0.867422, Time  0.368879
2021-09-09 05:44:13.944339 : Epoch  4, Batch    974, Loss  0.869067, Average Loss  0.867543, Time  0.411984
2021-09-09 05:44:15.869149 : Epoch  4, Batch    975, Loss  0.870949, Average Loss  0.867646, Time  0.440255
2021-09-09 05:44:17.740151 : Epoch  4, Batch    976, Loss  0.880531, Average Loss  0.867745, Time  0.393667
2021-09-09 05:44:19.601253 : Epoch  4, Batch    977, Loss  0.880990, Average Loss  0.867748, Time  0.397578
2021-09-09 05:44:21.510844 : Epoch  4, Batch    978, Loss  0.884938, Average Loss  0.867696, Time  0.440511
2021-09-09 05:44:23.367088 : Epoch  4, Batch    979, Loss  0.878842, Average Loss  0.867674, Time  0.391084
2021-09-09 05:44:25.167180 : Epoch  4, Batch    980, Loss  0.856808, Average Loss  0.867559, Time  0.355680
2021-09-09 05:44:27.035835 : Epoch  4, Batch    981, Loss  0.859994, Average Loss  0.867639, Time  0.424893
2021-09-09 05:44:28.845261 : Epoch  4, Batch    982, Loss  0.859763, Average Loss  0.867611, Time  0.352704
2021-09-09 05:44:30.614777 : Epoch  4, Batch    983, Loss  0.853398, Average Loss  0.867582, Time  0.349278
2021-09-09 05:44:32.428899 : Epoch  4, Batch    984, Loss  0.862451, Average Loss  0.867545, Time  0.383899
2021-09-09 05:44:34.212161 : Epoch  4, Batch    985, Loss  0.865980, Average Loss  0.867640, Time  0.353258
2021-09-09 05:44:36.097240 : Epoch  4, Batch    986, Loss  0.863288, Average Loss  0.867503, Time  0.388100
2021-09-09 05:44:37.975847 : Epoch  4, Batch    987, Loss  0.873815, Average Loss  0.867481, Time  0.411458
2021-09-09 05:44:39.836507 : Epoch  4, Batch    988, Loss  0.840746, Average Loss  0.867373, Time  0.382708
2021-09-09 05:44:41.788970 : Epoch  4, Batch    989, Loss  0.885395, Average Loss  0.867359, Time  0.485991
2021-09-09 05:44:43.603203 : Epoch  4, Batch    990, Loss  0.857107, Average Loss  0.867263, Time  0.359235
2021-09-09 05:44:45.422847 : Epoch  4, Batch    991, Loss  0.853847, Average Loss  0.867162, Time  0.381811
2021-09-09 05:44:47.331792 : Epoch  4, Batch    992, Loss  0.840677, Average Loss  0.866879, Time  0.451853
2021-09-09 05:44:49.196734 : Epoch  4, Batch    993, Loss  0.893026, Average Loss  0.867012, Time  0.404366
2021-09-09 05:44:51.048849 : Epoch  4, Batch    994, Loss  0.881052, Average Loss  0.867148, Time  0.396785
2021-09-09 05:44:52.916852 : Epoch  4, Batch    995, Loss  0.875312, Average Loss  0.867245, Time  0.380950
2021-09-09 05:44:54.797801 : Epoch  4, Batch    996, Loss  0.864569, Average Loss  0.867170, Time  0.399756
2021-09-09 05:44:56.684839 : Epoch  4, Batch    997, Loss  0.847701, Average Loss  0.866971, Time  0.408073
2021-09-09 05:44:58.601531 : Epoch  4, Batch    998, Loss  0.881578, Average Loss  0.867072, Time  0.444165
2021-09-09 05:45:00.450786 : Epoch  4, Batch    999, Loss  0.884084, Average Loss  0.867112, Time  0.382739
2021-09-09 05:45:02.364130 : Epoch  4, Batch   1000, Loss  0.875018, Average Loss  0.867181, Time  0.430400
2021-09-09 05:45:04.277796 : Epoch  4, Batch   1001, Loss  0.864259, Average Loss  0.867045, Time  0.449658
2021-09-09 05:45:06.153877 : Epoch  4, Batch   1002, Loss  0.864822, Average Loss  0.867024, Time  0.384702
2021-09-09 05:45:08.089042 : Epoch  4, Batch   1003, Loss  0.870948, Average Loss  0.867070, Time  0.455090
2021-09-09 05:45:09.950345 : Epoch  4, Batch   1004, Loss  0.867059, Average Loss  0.866998, Time  0.391020
2021-09-09 05:45:11.814028 : Epoch  4, Batch   1005, Loss  0.872797, Average Loss  0.867115, Time  0.390502
2021-09-09 05:45:13.748562 : Epoch  4, Batch   1006, Loss  0.862724, Average Loss  0.867164, Time  0.461380
2021-09-09 05:45:15.629808 : Epoch  4, Batch   1007, Loss  0.874380, Average Loss  0.867092, Time  0.401391
2021-09-09 05:45:17.509059 : Epoch  4, Batch   1008, Loss  0.893444, Average Loss  0.867289, Time  0.381211
2021-09-09 05:45:19.371797 : Epoch  4, Batch   1009, Loss  0.863875, Average Loss  0.867270, Time  0.396939
2021-09-09 05:45:21.259491 : Epoch  4, Batch   1010, Loss  0.867631, Average Loss  0.867396, Time  0.434784
2021-09-09 05:45:23.206839 : Epoch  4, Batch   1011, Loss  0.873752, Average Loss  0.867362, Time  0.454826
2021-09-09 05:45:25.082821 : Epoch  4, Batch   1012, Loss  0.898048, Average Loss  0.867415, Time  0.411891
2021-09-09 05:45:26.958825 : Epoch  4, Batch   1013, Loss  0.888002, Average Loss  0.867501, Time  0.397176
2021-09-09 05:45:28.864975 : Epoch  4, Batch   1014, Loss  0.847627, Average Loss  0.867470, Time  0.442976
2021-09-09 05:45:30.735100 : Epoch  4, Batch   1015, Loss  0.870892, Average Loss  0.867738, Time  0.394825
2021-09-09 05:45:32.615346 : Epoch  4, Batch   1016, Loss  0.852077, Average Loss  0.867821, Time  0.443992
2021-09-09 05:45:34.419833 : Epoch  4, Batch   1017, Loss  0.868517, Average Loss  0.867705, Time  0.350273
2021-09-09 05:45:36.244517 : Epoch  4, Batch   1018, Loss  0.860618, Average Loss  0.867718, Time  0.358713
2021-09-09 05:45:38.197893 : Epoch  4, Batch   1019, Loss  0.875431, Average Loss  0.867823, Time  0.432586
2021-09-09 05:45:40.002561 : Epoch  4, Batch   1020, Loss  0.896513, Average Loss  0.868037, Time  0.353751
2021-09-09 05:45:41.826048 : Epoch  4, Batch   1021, Loss  0.883411, Average Loss  0.868072, Time  0.371641
2021-09-09 05:45:43.595519 : Epoch  4, Batch   1022, Loss  0.921285, Average Loss  0.868350, Time  0.349507
2021-09-09 05:45:45.489004 : Epoch  4, Batch   1023, Loss  0.869495, Average Loss  0.868395, Time  0.363242
2021-09-09 05:45:47.349240 : Epoch  4, Batch   1024, Loss  0.895192, Average Loss  0.868562, Time  0.421839
2021-09-09 05:45:49.127528 : Epoch  4, Batch   1025, Loss  0.823508, Average Loss  0.868297, Time  0.352926
2021-09-09 05:45:51.088995 : Epoch  4, Batch   1026, Loss  0.865577, Average Loss  0.868384, Time  0.478349
2021-09-09 05:45:53.001784 : Epoch  4, Batch   1027, Loss  0.869976, Average Loss  0.868442, Time  0.411961
2021-09-09 05:45:54.946893 : Epoch  4, Batch   1028, Loss  0.857445, Average Loss  0.868467, Time  0.411531
2021-09-09 05:45:56.895802 : Epoch  4, Batch   1029, Loss  0.931556, Average Loss  0.868796, Time  0.434728
2021-09-09 05:45:58.691341 : Epoch  4, Batch   1030, Loss  0.864337, Average Loss  0.868779, Time  0.362534
2021-09-09 05:46:00.633299 : Epoch  4, Batch   1031, Loss  0.874670, Average Loss  0.868908, Time  0.458288
2021-09-09 05:46:02.549920 : Epoch  4, Batch   1032, Loss  0.875228, Average Loss  0.868792, Time  0.408056
2021-09-09 05:46:04.452805 : Epoch  4, Batch   1033, Loss  0.873371, Average Loss  0.868765, Time  0.398957
2021-09-09 05:46:06.445875 : Epoch  4, Batch   1034, Loss  0.870061, Average Loss  0.868796, Time  0.490108
2021-09-09 05:46:08.408880 : Epoch  4, Batch   1035, Loss  0.885693, Average Loss  0.868842, Time  0.477064
2021-09-09 05:46:10.256161 : Epoch  4, Batch   1036, Loss  0.870662, Average Loss  0.868951, Time  0.335278
2021-09-09 05:46:12.260528 : Epoch  4, Batch   1037, Loss  0.850923, Average Loss  0.868797, Time  0.417060
2021-09-09 05:46:14.155326 : Epoch  4, Batch   1038, Loss  0.890263, Average Loss  0.868897, Time  0.385554
2021-09-09 05:46:16.006779 : Epoch  4, Batch   1039, Loss  0.868729, Average Loss  0.868853, Time  0.350588
2021-09-09 05:46:17.772869 : Epoch  4, Batch   1040, Loss  0.856873, Average Loss  0.868772, Time  0.340803
2021-09-09 05:46:19.587779 : Epoch  4, Batch   1041, Loss  0.873658, Average Loss  0.868851, Time  0.386291
2021-09-09 05:46:21.387799 : Epoch  4, Batch   1042, Loss  0.881726, Average Loss  0.868783, Time  0.358742
2021-09-09 05:46:23.254035 : Epoch  4, Batch   1043, Loss  0.851593, Average Loss  0.868588, Time  0.440887
2021-09-09 05:46:25.087447 : Epoch  4, Batch   1044, Loss  0.873356, Average Loss  0.868519, Time  0.352882
2021-09-09 05:46:26.930171 : Epoch  4, Batch   1045, Loss  0.858671, Average Loss  0.868460, Time  0.368373
2021-09-09 05:46:28.787944 : Epoch  4, Batch   1046, Loss  0.854048, Average Loss  0.868446, Time  0.366505
2021-09-09 05:46:30.562278 : Epoch  4, Batch   1047, Loss  0.867519, Average Loss  0.868459, Time  0.351498
2021-09-09 05:46:32.512284 : Epoch  4, Batch   1048, Loss  0.860004, Average Loss  0.868468, Time  0.492240
2021-09-09 05:46:34.362873 : Epoch  4, Batch   1049, Loss  0.870754, Average Loss  0.868356, Time  0.384150
2021-09-09 05:46:36.230741 : Epoch  4, Batch   1050, Loss  0.857871, Average Loss  0.868293, Time  0.394775
2021-09-09 05:46:38.159861 : Epoch  4, Batch   1051, Loss  0.861599, Average Loss  0.868335, Time  0.453974
2021-09-09 05:46:40.014168 : Epoch  4, Batch   1052, Loss  0.842323, Average Loss  0.868118, Time  0.388651
2021-09-09 05:46:41.898895 : Epoch  4, Batch   1053, Loss  0.868566, Average Loss  0.868119, Time  0.398197
2021-09-09 05:46:43.760151 : Epoch  4, Batch   1054, Loss  0.893528, Average Loss  0.868291, Time  0.385850
2021-09-09 05:46:45.607283 : Epoch  4, Batch   1055, Loss  0.866932, Average Loss  0.868445, Time  0.361193
2021-09-09 05:46:47.448646 : Epoch  4, Batch   1056, Loss  0.895463, Average Loss  0.868616, Time  0.409052
2021-09-09 05:46:49.227785 : Epoch  4, Batch   1057, Loss  0.877545, Average Loss  0.868616, Time  0.357237
2021-09-09 05:46:51.098700 : Epoch  4, Batch   1058, Loss  0.880876, Average Loss  0.868717, Time  0.412552
2021-09-09 05:46:53.020211 : Epoch  4, Batch   1059, Loss  0.861012, Average Loss  0.868631, Time  0.391403
2021-09-09 05:46:54.885045 : Epoch  4, Batch   1060, Loss  0.898388, Average Loss  0.868817, Time  0.379385
2021-09-09 05:46:56.765803 : Epoch  4, Batch   1061, Loss  0.855146, Average Loss  0.868669, Time  0.416132
2021-09-09 05:46:58.631985 : Epoch  4, Batch   1062, Loss  0.849984, Average Loss  0.868583, Time  0.394879
2021-09-09 05:47:00.527884 : Epoch  4, Batch   1063, Loss  0.890289, Average Loss  0.868671, Time  0.413177
2021-09-09 05:47:02.448259 : Epoch  4, Batch   1064, Loss  0.888224, Average Loss  0.868602, Time  0.418036
2021-09-09 05:47:04.320785 : Epoch  4, Batch   1065, Loss  0.842656, Average Loss  0.868613, Time  0.399232
2021-09-09 05:47:06.218104 : Epoch  4, Batch   1066, Loss  0.878322, Average Loss  0.868585, Time  0.417259
2021-09-09 05:47:08.086084 : Epoch  4, Batch   1067, Loss  0.845692, Average Loss  0.868594, Time  0.383579
2021-09-09 05:52:03.376432 : CheckPoint: Validation Loss  0.00056427, Best Loss  0.00056427
2021-09-09 05:52:03.417209 : Best Model Updated
2021-09-09 05:52:08.891805 : Epoch  4, Batch   1068, Loss  0.871656, Average Loss  0.868763, Time  0.407769
2021-09-09 05:52:10.692986 : Epoch  4, Batch   1069, Loss  0.857534, Average Loss  0.868845, Time  0.344175
2021-09-09 05:52:12.574951 : Epoch  4, Batch   1070, Loss  0.853338, Average Loss  0.868966, Time  0.418700
2021-09-09 05:52:14.483835 : Epoch  4, Batch   1071, Loss  0.858582, Average Loss  0.868899, Time  0.424481
2021-09-09 05:52:16.274786 : Epoch  4, Batch   1072, Loss  0.885615, Average Loss  0.868863, Time  0.355261
2021-09-09 05:52:18.177807 : Epoch  4, Batch   1073, Loss  0.850077, Average Loss  0.868822, Time  0.467551
2021-09-09 05:52:20.060011 : Epoch  4, Batch   1074, Loss  0.875135, Average Loss  0.868687, Time  0.390523
2021-09-09 05:52:21.983735 : Epoch  4, Batch   1075, Loss  0.837673, Average Loss  0.868468, Time  0.448348
2021-09-09 05:52:23.891811 : Epoch  4, Batch   1076, Loss  0.883294, Average Loss  0.868617, Time  0.436218
2021-09-09 05:52:25.786787 : Epoch  4, Batch   1077, Loss  0.871619, Average Loss  0.868728, Time  0.397388
2021-09-09 05:52:27.664841 : Epoch  4, Batch   1078, Loss  0.849299, Average Loss  0.868750, Time  0.422104
2021-09-09 05:52:29.591786 : Epoch  4, Batch   1079, Loss  0.853774, Average Loss  0.868887, Time  0.462932
2021-09-09 05:52:31.469939 : Epoch  4, Batch   1080, Loss  0.874152, Average Loss  0.868851, Time  0.391762
2021-09-09 05:52:33.340787 : Epoch  4, Batch   1081, Loss  0.867694, Average Loss  0.868750, Time  0.387772
2021-09-09 05:52:35.229811 : Epoch  4, Batch   1082, Loss  0.849456, Average Loss  0.868708, Time  0.425805
2021-09-09 05:52:37.070842 : Epoch  4, Batch   1083, Loss  0.877192, Average Loss  0.868830, Time  0.386044
2021-09-09 05:52:38.932830 : Epoch  4, Batch   1084, Loss  0.827211, Average Loss  0.868822, Time  0.389195
2021-09-09 05:52:40.758797 : Epoch  4, Batch   1085, Loss  0.910847, Average Loss  0.869107, Time  0.404434
2021-09-09 05:52:42.555774 : Epoch  4, Batch   1086, Loss  0.859407, Average Loss  0.869071, Time  0.352466
2021-09-09 05:52:44.415961 : Epoch  4, Batch   1087, Loss  0.848324, Average Loss  0.869145, Time  0.409140
2021-09-09 05:52:46.321788 : Epoch  4, Batch   1088, Loss  0.851739, Average Loss  0.869059, Time  0.374595
2021-09-09 05:52:48.214797 : Epoch  4, Batch   1089, Loss  0.863266, Average Loss  0.869141, Time  0.391331
2021-09-09 05:52:50.131843 : Epoch  4, Batch   1090, Loss  0.842317, Average Loss  0.868984, Time  0.410256
2021-09-09 05:52:52.021826 : Epoch  4, Batch   1091, Loss  0.864328, Average Loss  0.868886, Time  0.390504
2021-09-09 05:52:53.965149 : Epoch  4, Batch   1092, Loss  0.853525, Average Loss  0.868771, Time  0.450517
2021-09-09 05:52:55.820935 : Epoch  4, Batch   1093, Loss  0.864567, Average Loss  0.868677, Time  0.394871
2021-09-09 05:52:57.603791 : Epoch  4, Batch   1094, Loss  0.860714, Average Loss  0.868551, Time  0.326363
2021-09-09 05:52:59.521860 : Epoch  4, Batch   1095, Loss  0.874408, Average Loss  0.868508, Time  0.473005
2021-09-09 05:53:01.451786 : Epoch  4, Batch   1096, Loss  0.859278, Average Loss  0.868399, Time  0.387654
2021-09-09 05:53:03.312273 : Epoch  4, Batch   1097, Loss  0.870151, Average Loss  0.868493, Time  0.394635
2021-09-09 05:53:05.214837 : Epoch  4, Batch   1098, Loss  0.865871, Average Loss  0.868539, Time  0.424388
2021-09-09 05:53:07.083795 : Epoch  4, Batch   1099, Loss  0.869354, Average Loss  0.868546, Time  0.397945
2021-09-09 05:53:08.948964 : Epoch  4, Batch   1100, Loss  0.856607, Average Loss  0.868476, Time  0.384941
2021-09-09 05:53:10.801955 : Epoch  4, Batch   1101, Loss  0.877649, Average Loss  0.868528, Time  0.392995
2021-09-09 05:53:12.687965 : Epoch  4, Batch   1102, Loss  0.860746, Average Loss  0.868443, Time  0.382075
2021-09-09 05:53:14.606831 : Epoch  4, Batch   1103, Loss  0.838473, Average Loss  0.868377, Time  0.427980
2021-09-09 05:53:16.384214 : Epoch  4, Batch   1104, Loss  0.886087, Average Loss  0.868517, Time  0.340763
2021-09-09 05:53:18.291797 : Epoch  4, Batch   1105, Loss  0.873141, Average Loss  0.868584, Time  0.427737
2021-09-09 05:53:20.178791 : Epoch  4, Batch   1106, Loss  0.886228, Average Loss  0.868721, Time  0.397214
2021-09-09 05:53:22.093843 : Epoch  4, Batch   1107, Loss  0.886227, Average Loss  0.868802, Time  0.447304
2021-09-09 05:53:24.011341 : Epoch  4, Batch   1108, Loss  0.848080, Average Loss  0.868570, Time  0.435017
2021-09-09 05:53:25.814808 : Epoch  4, Batch   1109, Loss  0.858562, Average Loss  0.868641, Time  0.347991
2021-09-09 05:53:27.686162 : Epoch  4, Batch   1110, Loss  0.878916, Average Loss  0.868542, Time  0.445329
2021-09-09 05:53:29.504847 : Epoch  4, Batch   1111, Loss  0.842845, Average Loss  0.868347, Time  0.399959
2021-09-09 05:53:31.313463 : Epoch  4, Batch   1112, Loss  0.850941, Average Loss  0.868320, Time  0.357413
2021-09-09 05:53:33.132872 : Epoch  4, Batch   1113, Loss  0.858580, Average Loss  0.868182, Time  0.392717
2021-09-09 05:53:34.916941 : Epoch  4, Batch   1114, Loss  0.840083, Average Loss  0.868081, Time  0.361404
2021-09-09 05:53:36.716775 : Epoch  4, Batch   1115, Loss  0.858922, Average Loss  0.868011, Time  0.350748
2021-09-09 05:53:38.539821 : Epoch  4, Batch   1116, Loss  0.882647, Average Loss  0.868056, Time  0.395725
2021-09-09 05:53:40.307999 : Epoch  4, Batch   1117, Loss  0.864306, Average Loss  0.867960, Time  0.341906
2021-09-09 05:53:42.207859 : Epoch  4, Batch   1118, Loss  0.851491, Average Loss  0.867835, Time  0.411597
2021-09-09 05:53:44.085067 : Epoch  4, Batch   1119, Loss  0.887904, Average Loss  0.868015, Time  0.411306
2021-09-09 05:53:45.887277 : Epoch  4, Batch   1120, Loss  0.865947, Average Loss  0.867852, Time  0.335797
2021-09-09 05:53:47.666344 : Epoch  4, Batch   1121, Loss  0.877710, Average Loss  0.867980, Time  0.342670
2021-09-09 05:53:49.500778 : Epoch  4, Batch   1122, Loss  0.872531, Average Loss  0.867854, Time  0.353155
2021-09-09 05:53:51.367948 : Epoch  4, Batch   1123, Loss  0.852892, Average Loss  0.867871, Time  0.424301
2021-09-09 05:53:53.229957 : Epoch  4, Batch   1124, Loss  0.867700, Average Loss  0.867888, Time  0.392679
2021-09-09 05:53:55.111890 : Epoch  4, Batch   1125, Loss  0.842880, Average Loss  0.867588, Time  0.433441
2021-09-09 05:53:56.971791 : Epoch  4, Batch   1126, Loss  0.844767, Average Loss  0.867474, Time  0.393403
2021-09-09 05:53:58.839786 : Epoch  4, Batch   1127, Loss  0.889903, Average Loss  0.867518, Time  0.384007
2021-09-09 05:54:00.709177 : Epoch  4, Batch   1128, Loss  0.876226, Average Loss  0.867480, Time  0.411201
2021-09-09 05:54:02.596848 : Epoch  4, Batch   1129, Loss  0.849201, Average Loss  0.867283, Time  0.392606
2021-09-09 05:54:04.523322 : Epoch  4, Batch   1130, Loss  0.878043, Average Loss  0.867176, Time  0.455767
2021-09-09 05:54:06.475809 : Epoch  4, Batch   1131, Loss  0.848314, Average Loss  0.866897, Time  0.480227
2021-09-09 05:54:08.332796 : Epoch  4, Batch   1132, Loss  0.870545, Average Loss  0.866811, Time  0.396531
2021-09-09 05:54:10.228796 : Epoch  4, Batch   1133, Loss  0.856794, Average Loss  0.866690, Time  0.419862
2021-09-09 05:54:12.183632 : Epoch  4, Batch   1134, Loss  0.854783, Average Loss  0.866669, Time  0.409377
2021-09-09 05:54:14.024796 : Epoch  4, Batch   1135, Loss  0.866365, Average Loss  0.866745, Time  0.375449
2021-09-09 05:54:15.929880 : Epoch  4, Batch   1136, Loss  0.878627, Average Loss  0.866789, Time  0.414975
2021-09-09 05:54:17.813233 : Epoch  4, Batch   1137, Loss  0.867240, Average Loss  0.866763, Time  0.394986
2021-09-09 05:54:19.659788 : Epoch  4, Batch   1138, Loss  0.877702, Average Loss  0.866819, Time  0.386334
2021-09-09 05:54:21.599842 : Epoch  4, Batch   1139, Loss  0.863407, Average Loss  0.866844, Time  0.475618
2021-09-09 05:54:23.561903 : Epoch  4, Batch   1140, Loss  0.846660, Average Loss  0.866784, Time  0.423577
2021-09-09 05:54:25.432791 : Epoch  4, Batch   1141, Loss  0.841083, Average Loss  0.866752, Time  0.389875
2021-09-09 05:54:27.336546 : Epoch  4, Batch   1142, Loss  0.880278, Average Loss  0.866967, Time  0.442671
2021-09-09 05:54:29.189782 : Epoch  4, Batch   1143, Loss  0.843543, Average Loss  0.866884, Time  0.354971
2021-09-09 05:54:30.982014 : Epoch  4, Batch   1144, Loss  0.837989, Average Loss  0.866731, Time  0.356253
2021-09-09 05:54:32.760826 : Epoch  4, Batch   1145, Loss  0.877715, Average Loss  0.866908, Time  0.349797
2021-09-09 05:54:34.558838 : Epoch  4, Batch   1146, Loss  0.887977, Average Loss  0.866879, Time  0.348627
2021-09-09 05:54:36.355788 : Epoch  4, Batch   1147, Loss  0.859680, Average Loss  0.866705, Time  0.372718
2021-09-09 05:54:38.131787 : Epoch  4, Batch   1148, Loss  0.862227, Average Loss  0.866669, Time  0.352619
2021-09-09 05:54:40.117492 : Epoch  4, Batch   1149, Loss  0.885998, Average Loss  0.866815, Time  0.414732
2021-09-09 05:54:41.923567 : Epoch  4, Batch   1150, Loss  0.856212, Average Loss  0.866660, Time  0.353646
2021-09-09 05:54:43.700246 : Epoch  4, Batch   1151, Loss  0.881439, Average Loss  0.866895, Time  0.350006
2021-09-09 05:54:45.527776 : Epoch  4, Batch   1152, Loss  0.865074, Average Loss  0.866845, Time  0.366997
2021-09-09 05:54:47.352001 : Epoch  4, Batch   1153, Loss  0.893500, Average Loss  0.866967, Time  0.353052
2021-09-09 05:54:49.342826 : Epoch  4, Batch   1154, Loss  0.885351, Average Loss  0.867022, Time  0.476809
2021-09-09 05:54:51.239857 : Epoch  4, Batch   1155, Loss  0.910966, Average Loss  0.867298, Time  0.417414
2021-09-09 05:54:53.133931 : Epoch  4, Batch   1156, Loss  0.873369, Average Loss  0.867332, Time  0.393647
2021-09-09 05:54:55.079790 : Epoch  4, Batch   1157, Loss  0.866305, Average Loss  0.867387, Time  0.445707
2021-09-09 05:54:56.956979 : Epoch  4, Batch   1158, Loss  0.879414, Average Loss  0.867490, Time  0.396628
2021-09-09 05:54:58.810948 : Epoch  4, Batch   1159, Loss  0.859791, Average Loss  0.867404, Time  0.376548
2021-09-09 05:55:00.642840 : Epoch  4, Batch   1160, Loss  0.891958, Average Loss  0.867471, Time  0.404071
2021-09-09 05:55:02.527193 : Epoch  4, Batch   1161, Loss  0.855340, Average Loss  0.867352, Time  0.365769
2021-09-09 05:55:04.400813 : Epoch  4, Batch   1162, Loss  0.871605, Average Loss  0.867450, Time  0.457344
2021-09-09 05:55:06.282060 : Epoch  4, Batch   1163, Loss  0.874764, Average Loss  0.867457, Time  0.383625
2021-09-09 05:55:08.177797 : Epoch  4, Batch   1164, Loss  0.875002, Average Loss  0.867633, Time  0.401971
2021-09-09 05:55:10.103897 : Epoch  4, Batch   1165, Loss  0.875466, Average Loss  0.867633, Time  0.449055
2021-09-09 05:55:12.017263 : Epoch  4, Batch   1166, Loss  0.892959, Average Loss  0.867887, Time  0.394499
2021-09-09 05:55:13.887232 : Epoch  4, Batch   1167, Loss  0.889051, Average Loss  0.868095, Time  0.393855
2021-09-09 06:00:09.802731 : CheckPoint: Validation Loss  0.00062259, Best Loss  0.00056427
2021-09-09 06:00:11.606785 : Epoch  4, Batch   1168, Loss  0.844059, Average Loss  0.868057, Time  0.337649
2021-09-09 06:00:13.429878 : Epoch  4, Batch   1169, Loss  0.885392, Average Loss  0.868047, Time  0.333584
2021-09-09 06:00:15.225029 : Epoch  4, Batch   1170, Loss  0.863977, Average Loss  0.868024, Time  0.354740
2021-09-09 06:00:17.081909 : Epoch  4, Batch   1171, Loss  0.854685, Average Loss  0.867920, Time  0.373281
2021-09-09 06:00:19.007782 : Epoch  4, Batch   1172, Loss  0.869910, Average Loss  0.867988, Time  0.468370
2021-09-09 06:00:20.825549 : Epoch  4, Batch   1173, Loss  0.890386, Average Loss  0.868194, Time  0.357064
2021-09-09 06:00:22.693265 : Epoch  4, Batch   1174, Loss  0.876885, Average Loss  0.868233, Time  0.396441
2021-09-09 06:00:24.616401 : Epoch  4, Batch   1175, Loss  0.902466, Average Loss  0.868391, Time  0.427231
2021-09-09 06:00:26.505268 : Epoch  4, Batch   1176, Loss  0.872677, Average Loss  0.868352, Time  0.399785
2021-09-09 06:00:28.354775 : Epoch  4, Batch   1177, Loss  0.857125, Average Loss  0.868232, Time  0.356666
2021-09-09 06:00:30.128985 : Epoch  4, Batch   1178, Loss  0.853509, Average Loss  0.868075, Time  0.348435
2021-09-09 06:00:31.893243 : Epoch  4, Batch   1179, Loss  0.903007, Average Loss  0.868196, Time  0.336028
2021-09-09 06:00:33.693358 : Epoch  4, Batch   1180, Loss  0.856628, Average Loss  0.868195, Time  0.352139
2021-09-09 06:00:35.451510 : Epoch  4, Batch   1181, Loss  0.876398, Average Loss  0.868277, Time  0.341987
2021-09-09 06:00:37.335998 : Epoch  4, Batch   1182, Loss  0.897454, Average Loss  0.868466, Time  0.400598
2021-09-09 06:00:39.181318 : Epoch  4, Batch   1183, Loss  0.878362, Average Loss  0.868591, Time  0.359702
2021-09-09 06:00:41.066991 : Epoch  4, Batch   1184, Loss  0.866172, Average Loss  0.868609, Time  0.418292
2021-09-09 06:00:42.831806 : Epoch  4, Batch   1185, Loss  0.854309, Average Loss  0.868551, Time  0.329930
2021-09-09 06:00:44.672965 : Epoch  4, Batch   1186, Loss  0.862126, Average Loss  0.868545, Time  0.403083
2021-09-09 06:00:46.480816 : Epoch  4, Batch   1187, Loss  0.876375, Average Loss  0.868558, Time  0.339531
2021-09-09 06:00:48.305510 : Epoch  4, Batch   1188, Loss  0.876110, Average Loss  0.868735, Time  0.368644
2021-09-09 06:00:50.071797 : Epoch  4, Batch   1189, Loss  0.831444, Average Loss  0.868465, Time  0.350418
2021-09-09 06:00:51.997376 : Epoch  4, Batch   1190, Loss  0.855671, Average Loss  0.868458, Time  0.393182
2021-09-09 06:00:53.871411 : Epoch  4, Batch   1191, Loss  0.886510, Average Loss  0.868621, Time  0.405148
2021-09-09 06:00:55.749949 : Epoch  4, Batch   1192, Loss  0.898322, Average Loss  0.868909, Time  0.398932
2021-09-09 06:00:57.767785 : Epoch  4, Batch   1193, Loss  0.820747, Average Loss  0.868548, Time  0.427733
2021-09-09 06:00:59.642788 : Epoch  4, Batch   1194, Loss  0.879220, Average Loss  0.868539, Time  0.382714
2021-09-09 06:01:01.568274 : Epoch  4, Batch   1195, Loss  0.849544, Average Loss  0.868410, Time  0.448185
2021-09-09 06:01:03.451806 : Epoch  4, Batch   1196, Loss  0.878610, Average Loss  0.868480, Time  0.366045
2021-09-09 06:01:05.334186 : Epoch  4, Batch   1197, Loss  0.875236, Average Loss  0.868618, Time  0.404230
2021-09-09 06:01:07.282046 : Epoch  4, Batch   1198, Loss  0.832438, Average Loss  0.868372, Time  0.462097
2021-09-09 06:01:09.226532 : Epoch  4, Batch   1199, Loss  0.880930, Average Loss  0.868356, Time  0.474055
2021-09-09 06:01:11.077024 : Epoch  4, Batch   1200, Loss  0.858124, Average Loss  0.868272, Time  0.370672
2021-09-09 06:01:13.064047 : Epoch  4, Batch   1201, Loss  0.883428, Average Loss  0.868368, Time  0.387045
2021-09-09 06:01:14.872237 : Epoch  4, Batch   1202, Loss  0.906416, Average Loss  0.868576, Time  0.380734
2021-09-09 06:01:16.666237 : Epoch  4, Batch   1203, Loss  0.870352, Average Loss  0.868573, Time  0.336570
2021-09-09 06:01:18.518801 : Epoch  4, Batch   1204, Loss  0.886713, Average Loss  0.868671, Time  0.415538
2021-09-09 06:01:20.398010 : Epoch  4, Batch   1205, Loss  0.894849, Average Loss  0.868781, Time  0.397017
2021-09-09 06:01:22.189780 : Epoch  4, Batch   1206, Loss  0.875532, Average Loss  0.868845, Time  0.356797
2021-09-09 06:01:24.083306 : Epoch  4, Batch   1207, Loss  0.864088, Average Loss  0.868794, Time  0.460744
2021-09-09 06:01:25.913805 : Epoch  4, Batch   1208, Loss  0.905408, Average Loss  0.868854, Time  0.355485
2021-09-09 06:01:27.724764 : Epoch  4, Batch   1209, Loss  0.875835, Average Loss  0.868913, Time  0.376531
2021-09-09 06:01:29.558783 : Epoch  4, Batch   1210, Loss  0.878951, Average Loss  0.868970, Time  0.355450
2021-09-09 06:01:31.319672 : Epoch  4, Batch   1211, Loss  0.888488, Average Loss  0.869044, Time  0.343016
2021-09-09 06:01:33.310873 : Epoch  4, Batch   1212, Loss  0.883291, Average Loss  0.868970, Time  0.492810
2021-09-09 06:01:35.181794 : Epoch  4, Batch   1213, Loss  0.862165, Average Loss  0.868841, Time  0.412520
2021-09-09 06:01:37.082277 : Epoch  4, Batch   1214, Loss  0.861942, Average Loss  0.868912, Time  0.423316
2021-09-09 06:01:39.066812 : Epoch  4, Batch   1215, Loss  0.873963, Average Loss  0.868928, Time  0.504611
2021-09-09 06:01:40.942100 : Epoch  4, Batch   1216, Loss  0.854151, Average Loss  0.868938, Time  0.398209
2021-09-09 06:01:42.870784 : Epoch  4, Batch   1217, Loss  0.870134, Average Loss  0.868946, Time  0.388536
2021-09-09 06:01:44.696997 : Epoch  4, Batch   1218, Loss  0.869012, Average Loss  0.868988, Time  0.351823
2021-09-09 06:01:46.584013 : Epoch  4, Batch   1219, Loss  0.887353, Average Loss  0.869048, Time  0.403158
2021-09-09 06:01:48.438793 : Epoch  4, Batch   1220, Loss  0.869347, Average Loss  0.868912, Time  0.407524
2021-09-09 06:01:50.234830 : Epoch  4, Batch   1221, Loss  0.862616, Average Loss  0.868808, Time  0.356617
2021-09-09 06:01:52.049802 : Epoch  4, Batch   1222, Loss  0.874928, Average Loss  0.868576, Time  0.395304
2021-09-09 06:01:53.836558 : Epoch  4, Batch   1223, Loss  0.883957, Average Loss  0.868648, Time  0.347167
2021-09-09 06:01:55.621840 : Epoch  4, Batch   1224, Loss  0.851806, Average Loss  0.868431, Time  0.355443
2021-09-09 06:01:57.474774 : Epoch  4, Batch   1225, Loss  0.890481, Average Loss  0.868766, Time  0.419923
2021-09-09 06:01:59.260324 : Epoch  4, Batch   1226, Loss  0.837056, Average Loss  0.868624, Time  0.352617
2021-09-09 06:02:01.085833 : Epoch  4, Batch   1227, Loss  0.868446, Average Loss  0.868616, Time  0.341057
2021-09-09 06:02:02.894796 : Epoch  4, Batch   1228, Loss  0.863848, Average Loss  0.868648, Time  0.372307
2021-09-09 06:02:04.715786 : Epoch  4, Batch   1229, Loss  0.844499, Average Loss  0.868213, Time  0.346673
2021-09-09 06:02:06.620047 : Epoch  4, Batch   1230, Loss  0.865310, Average Loss  0.868218, Time  0.418653
2021-09-09 06:02:08.574796 : Epoch  4, Batch   1231, Loss  0.867995, Average Loss  0.868184, Time  0.367526
2021-09-09 06:02:10.413836 : Epoch  4, Batch   1232, Loss  0.878424, Average Loss  0.868200, Time  0.393832
2021-09-09 06:02:12.215773 : Epoch  4, Batch   1233, Loss  0.858578, Average Loss  0.868126, Time  0.360164
2021-09-09 06:02:14.034793 : Epoch  4, Batch   1234, Loss  0.862340, Average Loss  0.868088, Time  0.349466
2021-09-09 06:02:15.877155 : Epoch  4, Batch   1235, Loss  0.840643, Average Loss  0.867862, Time  0.396736
2021-09-09 06:02:17.657929 : Epoch  4, Batch   1236, Loss  0.870503, Average Loss  0.867862, Time  0.329773
2021-09-09 06:02:19.580842 : Epoch  4, Batch   1237, Loss  0.899354, Average Loss  0.868104, Time  0.434832
2021-09-09 06:02:21.377775 : Epoch  4, Batch   1238, Loss  0.853915, Average Loss  0.867922, Time  0.351409
2021-09-09 06:02:23.152774 : Epoch  4, Batch   1239, Loss  0.860155, Average Loss  0.867879, Time  0.352424
2021-09-09 06:02:25.007778 : Epoch  4, Batch   1240, Loss  0.896546, Average Loss  0.868078, Time  0.413789
2021-09-09 06:02:26.865957 : Epoch  4, Batch   1241, Loss  0.843303, Average Loss  0.867926, Time  0.345949
2021-09-09 06:02:28.790040 : Epoch  4, Batch   1242, Loss  0.846037, Average Loss  0.867747, Time  0.385000
2021-09-09 06:02:30.658949 : Epoch  4, Batch   1243, Loss  0.862019, Average Loss  0.867799, Time  0.395636
2021-09-09 06:02:32.516790 : Epoch  4, Batch   1244, Loss  0.861758, Average Loss  0.867741, Time  0.369184
2021-09-09 06:02:34.449111 : Epoch  4, Batch   1245, Loss  0.902642, Average Loss  0.867961, Time  0.461592
2021-09-09 06:02:36.243843 : Epoch  4, Batch   1246, Loss  0.852635, Average Loss  0.867954, Time  0.362353
2021-09-09 06:02:38.027790 : Epoch  4, Batch   1247, Loss  0.862376, Average Loss  0.867928, Time  0.357944
2021-09-09 06:02:39.909262 : Epoch  4, Batch   1248, Loss  0.857073, Average Loss  0.867914, Time  0.396140
2021-09-09 06:02:41.677952 : Epoch  4, Batch   1249, Loss  0.886838, Average Loss  0.867994, Time  0.350522
2021-09-09 06:02:43.598824 : Epoch  4, Batch   1250, Loss  0.894851, Average Loss  0.868179, Time  0.439041
2021-09-09 06:02:45.451929 : Epoch  4, Batch   1251, Loss  0.886104, Average Loss  0.868302, Time  0.359036
2021-09-09 06:02:47.229292 : Epoch  4, Batch   1252, Loss  0.858351, Average Loss  0.868382, Time  0.359346
2021-09-09 06:02:49.148835 : Epoch  4, Batch   1253, Loss  0.869514, Average Loss  0.868387, Time  0.444773
2021-09-09 06:02:50.961781 : Epoch  4, Batch   1254, Loss  0.884599, Average Loss  0.868342, Time  0.372948
2021-09-09 06:02:52.792775 : Epoch  4, Batch   1255, Loss  0.851712, Average Loss  0.868266, Time  0.377551
2021-09-09 06:02:54.571192 : Epoch  4, Batch   1256, Loss  0.867073, Average Loss  0.868124, Time  0.344446
2021-09-09 06:02:56.362366 : Epoch  4, Batch   1257, Loss  0.844609, Average Loss  0.867959, Time  0.356034
2021-09-09 06:02:58.286958 : Epoch  4, Batch   1258, Loss  0.864829, Average Loss  0.867879, Time  0.435827
2021-09-09 06:03:00.179907 : Epoch  4, Batch   1259, Loss  0.837382, Average Loss  0.867761, Time  0.385497
2021-09-09 06:03:02.056269 : Epoch  4, Batch   1260, Loss  0.874225, Average Loss  0.867640, Time  0.417635
2021-09-09 06:03:03.867788 : Epoch  4, Batch   1261, Loss  0.894469, Average Loss  0.867837, Time  0.368809
2021-09-09 06:03:05.730507 : Epoch  4, Batch   1262, Loss  0.894796, Average Loss  0.868061, Time  0.408100
2021-09-09 06:03:07.706794 : Epoch  4, Batch   1263, Loss  0.850967, Average Loss  0.867864, Time  0.376398
2021-09-09 06:03:09.583801 : Epoch  4, Batch   1264, Loss  0.887581, Average Loss  0.867861, Time  0.412753
2021-09-09 06:03:11.413780 : Epoch  4, Batch   1265, Loss  0.861825, Average Loss  0.867957, Time  0.371322
2021-09-09 06:03:13.302375 : Epoch  4, Batch   1266, Loss  0.856806, Average Loss  0.867849, Time  0.389299
2021-09-09 06:03:15.298802 : Epoch  4, Batch   1267, Loss  0.849544, Average Loss  0.867868, Time  0.480277
2021-09-09 06:08:09.715716 : CheckPoint: Validation Loss  0.00058331, Best Loss  0.00056427
2021-09-09 06:08:11.500780 : Epoch  4, Batch   1268, Loss  0.885608, Average Loss  0.867938, Time  0.354616
2021-09-09 06:08:13.374076 : Epoch  4, Batch   1269, Loss  0.849434, Average Loss  0.867898, Time  0.446545
2021-09-09 06:08:15.153262 : Epoch  4, Batch   1270, Loss  0.884140, Average Loss  0.868052, Time  0.358145
2021-09-09 06:08:16.945782 : Epoch  4, Batch   1271, Loss  0.864622, Average Loss  0.868082, Time  0.351009
2021-09-09 06:08:18.727754 : Epoch  4, Batch   1272, Loss  0.859618, Average Loss  0.867952, Time  0.325653
2021-09-09 06:08:20.629797 : Epoch  4, Batch   1273, Loss  0.901042, Average Loss  0.868207, Time  0.401237
2021-09-09 06:08:22.664290 : Epoch  4, Batch   1274, Loss  0.868935, Average Loss  0.868176, Time  0.448721
2021-09-09 06:08:24.455778 : Epoch  4, Batch   1275, Loss  0.864570, Average Loss  0.868310, Time  0.354703
2021-09-09 06:08:26.230781 : Epoch  4, Batch   1276, Loss  0.886479, Average Loss  0.868326, Time  0.350741
2021-09-09 06:08:28.066214 : Epoch  4, Batch   1277, Loss  0.899873, Average Loss  0.868467, Time  0.387784
2021-09-09 06:08:29.852784 : Epoch  4, Batch   1278, Loss  0.860745, Average Loss  0.868525, Time  0.356167
2021-09-09 06:08:31.626121 : Epoch  4, Batch   1279, Loss  0.851348, Average Loss  0.868512, Time  0.341645
2021-09-09 06:08:33.413252 : Epoch  4, Batch   1280, Loss  0.870741, Average Loss  0.868495, Time  0.349312
2021-09-09 06:08:35.185094 : Epoch  4, Batch   1281, Loss  0.858308, Average Loss  0.868448, Time  0.342945
2021-09-09 06:08:37.053429 : Epoch  4, Batch   1282, Loss  0.857039, Average Loss  0.868486, Time  0.402813
2021-09-09 06:08:38.833233 : Epoch  4, Batch   1283, Loss  0.871853, Average Loss  0.868460, Time  0.345596
2021-09-09 06:08:40.690780 : Epoch  4, Batch   1284, Loss  0.896412, Average Loss  0.868806, Time  0.408066
2021-09-09 06:08:42.502782 : Epoch  4, Batch   1285, Loss  0.881136, Average Loss  0.868657, Time  0.362578
2021-09-09 06:08:44.276512 : Epoch  4, Batch   1286, Loss  0.875382, Average Loss  0.868737, Time  0.351455
2021-09-09 06:08:46.015957 : Epoch  4, Batch   1287, Loss  0.877974, Average Loss  0.868885, Time  0.313731
2021-09-09 06:08:47.917022 : Epoch  4, Batch   1288, Loss  0.879157, Average Loss  0.869022, Time  0.344279
2021-09-09 06:08:49.707791 : Epoch  4, Batch   1289, Loss  0.870123, Average Loss  0.869057, Time  0.328288
2021-09-09 06:08:51.483779 : Epoch  4, Batch   1290, Loss  0.854932, Average Loss  0.869120, Time  0.351026
2021-09-09 06:08:53.279154 : Epoch  4, Batch   1291, Loss  0.884430, Average Loss  0.869220, Time  0.365057
2021-09-09 06:08:55.086230 : Epoch  4, Batch   1292, Loss  0.882043, Average Loss  0.869363, Time  0.354124
2021-09-09 06:08:56.953325 : Epoch  4, Batch   1293, Loss  0.860979, Average Loss  0.869345, Time  0.449497
2021-09-09 06:08:58.803766 : Epoch  4, Batch   1294, Loss  0.881648, Average Loss  0.869450, Time  0.364518
2021-09-09 06:09:00.583839 : Epoch  4, Batch   1295, Loss  0.845268, Average Loss  0.869304, Time  0.342465
2021-09-09 06:09:02.528841 : Epoch  4, Batch   1296, Loss  0.867372, Average Loss  0.869344, Time  0.443795
2021-09-09 06:09:04.336902 : Epoch  4, Batch   1297, Loss  0.896604, Average Loss  0.869477, Time  0.341799
2021-09-09 06:09:06.206832 : Epoch  4, Batch   1298, Loss  0.857999, Average Loss  0.869437, Time  0.360972
2021-09-09 06:09:08.105793 : Epoch  4, Batch   1299, Loss  0.866316, Average Loss  0.869422, Time  0.439817
2021-09-09 06:09:09.934665 : Epoch  4, Batch   1300, Loss  0.850418, Average Loss  0.869391, Time  0.361865
2021-09-09 06:09:11.756783 : Epoch  4, Batch   1301, Loss  0.903501, Average Loss  0.869520, Time  0.357523
2021-09-09 06:09:13.589244 : Epoch  4, Batch   1302, Loss  0.852268, Average Loss  0.869478, Time  0.363483
2021-09-09 06:09:15.404011 : Epoch  4, Batch   1303, Loss  0.896688, Average Loss  0.869769, Time  0.345613
2021-09-09 06:09:17.279889 : Epoch  4, Batch   1304, Loss  0.851702, Average Loss  0.869597, Time  0.409389
2021-09-09 06:09:19.143869 : Epoch  4, Batch   1305, Loss  0.866380, Average Loss  0.869563, Time  0.375053
2021-09-09 06:09:20.936779 : Epoch  4, Batch   1306, Loss  0.871700, Average Loss  0.869491, Time  0.350904
2021-09-09 06:09:22.830863 : Epoch  4, Batch   1307, Loss  0.863172, Average Loss  0.869375, Time  0.426695
2021-09-09 06:09:24.631784 : Epoch  4, Batch   1308, Loss  0.859369, Average Loss  0.869432, Time  0.359583
2021-09-09 06:09:26.458451 : Epoch  4, Batch   1309, Loss  0.894511, Average Loss  0.869612, Time  0.403012
2021-09-09 06:09:28.335368 : Epoch  4, Batch   1310, Loss  0.869811, Average Loss  0.869566, Time  0.415283
2021-09-09 06:09:30.146031 : Epoch  4, Batch   1311, Loss  0.836315, Average Loss  0.869533, Time  0.352902
2021-09-09 06:09:31.960005 : Epoch  4, Batch   1312, Loss  0.864154, Average Loss  0.869599, Time  0.370172
2021-09-09 06:09:33.793462 : Epoch  4, Batch   1313, Loss  0.845565, Average Loss  0.869534, Time  0.378922
2021-09-09 06:09:35.662945 : Epoch  4, Batch   1314, Loss  0.860779, Average Loss  0.869638, Time  0.346215
2021-09-09 06:09:37.559086 : Epoch  4, Batch   1315, Loss  0.860660, Average Loss  0.869647, Time  0.395415
2021-09-09 06:09:39.360874 : Epoch  4, Batch   1316, Loss  0.880475, Average Loss  0.869636, Time  0.341963
2021-09-09 06:09:41.120863 : Epoch  4, Batch   1317, Loss  0.859254, Average Loss  0.869610, Time  0.341822
2021-09-09 06:09:42.959780 : Epoch  4, Batch   1318, Loss  0.847075, Average Loss  0.869588, Time  0.394964
2021-09-09 06:09:44.734320 : Epoch  4, Batch   1319, Loss  0.875866, Average Loss  0.869528, Time  0.357208
2021-09-09 06:09:46.587774 : Epoch  4, Batch   1320, Loss  0.890583, Average Loss  0.869651, Time  0.410374
2021-09-09 06:09:48.414831 : Epoch  4, Batch   1321, Loss  0.858769, Average Loss  0.869557, Time  0.358946
2021-09-09 06:09:50.203243 : Epoch  4, Batch   1322, Loss  0.843123, Average Loss  0.869410, Time  0.355708
2021-09-09 06:09:52.057774 : Epoch  4, Batch   1323, Loss  0.858087, Average Loss  0.869436, Time  0.345884
2021-09-09 06:09:53.849199 : Epoch  4, Batch   1324, Loss  0.875837, Average Loss  0.869476, Time  0.356181
2021-09-09 06:09:55.728040 : Epoch  4, Batch   1325, Loss  0.848589, Average Loss  0.869505, Time  0.437211
2021-09-09 06:09:57.529172 : Epoch  4, Batch   1326, Loss  0.877247, Average Loss  0.869667, Time  0.356836
2021-09-09 06:09:59.346287 : Epoch  4, Batch   1327, Loss  0.885435, Average Loss  0.869645, Time  0.390346
2021-09-09 06:10:01.104774 : Epoch  4, Batch   1328, Loss  0.869192, Average Loss  0.869610, Time  0.326318
2021-09-09 06:10:02.897268 : Epoch  4, Batch   1329, Loss  0.830004, Average Loss  0.869514, Time  0.349997
2021-09-09 06:10:04.797390 : Epoch  4, Batch   1330, Loss  0.865631, Average Loss  0.869452, Time  0.426535
2021-09-09 06:10:06.648414 : Epoch  4, Batch   1331, Loss  0.870300, Average Loss  0.869562, Time  0.353993
2021-09-09 06:10:08.428179 : Epoch  4, Batch   1332, Loss  0.874023, Average Loss  0.869579, Time  0.359097
2021-09-09 06:10:10.208550 : Epoch  4, Batch   1333, Loss  0.869272, Average Loss  0.869641, Time  0.355592
2021-09-09 06:10:11.986755 : Epoch  4, Batch   1334, Loss  0.896306, Average Loss  0.869849, Time  0.353203
2021-09-09 06:10:13.805844 : Epoch  4, Batch   1335, Loss  0.872616, Average Loss  0.869880, Time  0.375692
2021-09-09 06:10:15.637352 : Epoch  4, Batch   1336, Loss  0.873488, Average Loss  0.869855, Time  0.330076
2021-09-09 06:10:17.461871 : Epoch  4, Batch   1337, Loss  0.860601, Average Loss  0.869821, Time  0.388597
2021-09-09 06:10:19.244655 : Epoch  4, Batch   1338, Loss  0.841330, Average Loss  0.869639, Time  0.355320
2021-09-09 06:10:21.091001 : Epoch  4, Batch   1339, Loss  0.879482, Average Loss  0.869720, Time  0.380653
2021-09-09 06:10:22.966785 : Epoch  4, Batch   1340, Loss  0.834396, Average Loss  0.869659, Time  0.436776
2021-09-09 06:10:24.795289 : Epoch  4, Batch   1341, Loss  0.851748, Average Loss  0.869712, Time  0.381516
2021-09-09 06:10:26.630451 : Epoch  4, Batch   1342, Loss  0.885659, Average Loss  0.869739, Time  0.349248
2021-09-09 06:10:28.432127 : Epoch  4, Batch   1343, Loss  0.883585, Average Loss  0.869939, Time  0.369950
2021-09-09 06:10:30.214385 : Epoch  4, Batch   1344, Loss  0.863136, Average Loss  0.870065, Time  0.342754
2021-09-09 06:10:32.047776 : Epoch  4, Batch   1345, Loss  0.853104, Average Loss  0.869942, Time  0.390493
2021-09-09 06:10:33.847855 : Epoch  4, Batch   1346, Loss  0.869137, Average Loss  0.869847, Time  0.348917
2021-09-09 06:10:35.644870 : Epoch  4, Batch   1347, Loss  0.853543, Average Loss  0.869817, Time  0.357883
2021-09-09 06:10:37.513240 : Epoch  4, Batch   1348, Loss  0.885773, Average Loss  0.869934, Time  0.389160
2021-09-09 06:10:39.328781 : Epoch  4, Batch   1349, Loss  0.867831, Average Loss  0.869844, Time  0.340174
2021-09-09 06:10:41.189889 : Epoch  4, Batch   1350, Loss  0.874851, Average Loss  0.869937, Time  0.431559
2021-09-09 06:10:42.995899 : Epoch  4, Batch   1351, Loss  0.882216, Average Loss  0.869941, Time  0.360060
2021-09-09 06:10:44.790806 : Epoch  4, Batch   1352, Loss  0.908306, Average Loss  0.870157, Time  0.362928
2021-09-09 06:10:46.621827 : Epoch  4, Batch   1353, Loss  0.871660, Average Loss  0.870048, Time  0.397990
2021-09-09 06:10:48.409193 : Epoch  4, Batch   1354, Loss  0.900672, Average Loss  0.870124, Time  0.364050
2021-09-09 06:10:50.249033 : Epoch  4, Batch   1355, Loss  0.883353, Average Loss  0.869986, Time  0.419294
2021-09-09 06:10:52.051271 : Epoch  4, Batch   1356, Loss  0.883674, Average Loss  0.870038, Time  0.347194
2021-09-09 06:10:53.844175 : Epoch  4, Batch   1357, Loss  0.874937, Average Loss  0.870081, Time  0.337162
2021-09-09 06:10:55.641166 : Epoch  4, Batch   1358, Loss  0.881962, Average Loss  0.870094, Time  0.345775
2021-09-09 06:10:57.454232 : Epoch  4, Batch   1359, Loss  0.831583, Average Loss  0.869953, Time  0.360266
2021-09-09 06:10:59.238058 : Epoch  4, Batch   1360, Loss  0.851026, Average Loss  0.869748, Time  0.351382
2021-09-09 06:11:01.050788 : Epoch  4, Batch   1361, Loss  0.878662, Average Loss  0.869865, Time  0.349191
2021-09-09 06:11:02.963960 : Epoch  4, Batch   1362, Loss  0.883193, Average Loss  0.869923, Time  0.424134
2021-09-09 06:11:04.787139 : Epoch  4, Batch   1363, Loss  0.834141, Average Loss  0.869719, Time  0.352217
2021-09-09 06:11:06.697112 : Epoch  4, Batch   1364, Loss  0.877910, Average Loss  0.869734, Time  0.431079
2021-09-09 06:11:08.517217 : Epoch  4, Batch   1365, Loss  0.880941, Average Loss  0.869761, Time  0.388232
2021-09-09 06:11:10.317829 : Epoch  4, Batch   1366, Loss  0.879997, Average Loss  0.869697, Time  0.351612
2021-09-09 06:11:12.170679 : Epoch  4, Batch   1367, Loss  0.881174, Average Loss  0.869657, Time  0.403557
2021-09-09 06:16:07.281749 : CheckPoint: Validation Loss  0.00059984, Best Loss  0.00056427
2021-09-09 06:16:09.103986 : Epoch  4, Batch   1368, Loss  0.876862, Average Loss  0.869821, Time  0.352556
2021-09-09 06:16:10.891148 : Epoch  4, Batch   1369, Loss  0.858355, Average Loss  0.869686, Time  0.357445
2021-09-09 06:16:12.676330 : Epoch  4, Batch   1370, Loss  0.850427, Average Loss  0.869618, Time  0.352664
2021-09-09 06:16:14.420847 : Epoch  4, Batch   1371, Loss  0.864218, Average Loss  0.869666, Time  0.322009
2021-09-09 06:16:16.190031 : Epoch  4, Batch   1372, Loss  0.852663, Average Loss  0.869580, Time  0.337515
2021-09-09 06:16:18.018780 : Epoch  4, Batch   1373, Loss  0.859072, Average Loss  0.869423, Time  0.406699
2021-09-09 06:16:19.755046 : Epoch  4, Batch   1374, Loss  0.897107, Average Loss  0.869524, Time  0.320409
2021-09-09 06:16:21.584470 : Epoch  4, Batch   1375, Loss  0.898118, Average Loss  0.869502, Time  0.414246
2021-09-09 06:16:23.339914 : Epoch  4, Batch   1376, Loss  0.876736, Average Loss  0.869523, Time  0.338158
2021-09-09 06:16:25.196331 : Epoch  4, Batch   1377, Loss  0.876768, Average Loss  0.869621, Time  0.370261
2021-09-09 06:16:27.036455 : Epoch  4, Batch   1378, Loss  0.840216, Average Loss  0.869554, Time  0.408163
2021-09-09 06:16:28.806136 : Epoch  4, Batch   1379, Loss  0.851669, Average Loss  0.869298, Time  0.340399
2021-09-09 06:16:30.591494 : Epoch  4, Batch   1380, Loss  0.865535, Average Loss  0.869342, Time  0.354759
2021-09-09 06:16:32.389165 : Epoch  4, Batch   1381, Loss  0.860538, Average Loss  0.869263, Time  0.360191
2021-09-09 06:16:34.137065 : Epoch  4, Batch   1382, Loss  0.885035, Average Loss  0.869201, Time  0.314457
2021-09-09 06:16:36.121068 : Epoch  4, Batch   1383, Loss  0.870865, Average Loss  0.869163, Time  0.480504
2021-09-09 06:16:37.966208 : Epoch  4, Batch   1384, Loss  0.865099, Average Loss  0.869158, Time  0.383025
2021-09-09 06:16:39.835842 : Epoch  4, Batch   1385, Loss  0.856293, Average Loss  0.869168, Time  0.400068
2021-09-09 06:16:41.749487 : Epoch  4, Batch   1386, Loss  0.870513, Average Loss  0.869210, Time  0.437463
2021-09-09 06:16:43.636786 : Epoch  4, Batch   1387, Loss  0.850284, Average Loss  0.869079, Time  0.391087
2021-09-09 06:16:45.548561 : Epoch  4, Batch   1388, Loss  0.873113, Average Loss  0.869064, Time  0.431709
2021-09-09 06:16:47.461795 : Epoch  4, Batch   1389, Loss  0.869889, Average Loss  0.869257, Time  0.450465
2021-09-09 06:16:49.345823 : Epoch  4, Batch   1390, Loss  0.839497, Average Loss  0.869176, Time  0.391993
2021-09-09 06:16:51.245943 : Epoch  4, Batch   1391, Loss  0.876711, Average Loss  0.869127, Time  0.427282
2021-09-09 06:16:53.098618 : Epoch  4, Batch   1392, Loss  0.858484, Average Loss  0.868928, Time  0.391119
2021-09-09 06:16:54.963983 : Epoch  4, Batch   1393, Loss  0.890241, Average Loss  0.869275, Time  0.397498
2021-09-09 06:16:56.826820 : Epoch  4, Batch   1394, Loss  0.861170, Average Loss  0.869185, Time  0.407552
2021-09-09 06:16:58.715802 : Epoch  4, Batch   1395, Loss  0.867508, Average Loss  0.869275, Time  0.406387
2021-09-09 06:17:00.599065 : Epoch  4, Batch   1396, Loss  0.878130, Average Loss  0.869272, Time  0.413405
2021-09-09 06:17:02.544287 : Epoch  4, Batch   1397, Loss  0.861444, Average Loss  0.869203, Time  0.473427
2021-09-09 06:17:04.441266 : Epoch  4, Batch   1398, Loss  0.821431, Average Loss  0.869148, Time  0.413283
2021-09-09 06:17:06.401244 : Epoch  4, Batch   1399, Loss  0.882685, Average Loss  0.869157, Time  0.430369
2021-09-09 06:17:08.318348 : Epoch  4, Batch   1400, Loss  0.852267, Average Loss  0.869128, Time  0.400265
2021-09-09 06:17:10.164384 : Epoch  4, Batch   1401, Loss  0.836033, Average Loss  0.868891, Time  0.369511
2021-09-09 06:17:11.985838 : Epoch  4, Batch   1402, Loss  0.871216, Average Loss  0.868715, Time  0.393728
2021-09-09 06:17:13.788918 : Epoch  4, Batch   1403, Loss  0.874911, Average Loss  0.868738, Time  0.354089
2021-09-09 06:17:15.590776 : Epoch  4, Batch   1404, Loss  0.851036, Average Loss  0.868559, Time  0.356206
2021-09-09 06:17:17.446656 : Epoch  4, Batch   1405, Loss  0.846351, Average Loss  0.868317, Time  0.421122
2021-09-09 06:17:19.277822 : Epoch  4, Batch   1406, Loss  0.861897, Average Loss  0.868249, Time  0.350862
2021-09-09 06:17:21.192087 : Epoch  4, Batch   1407, Loss  0.897076, Average Loss  0.868414, Time  0.425671
2021-09-09 06:17:23.043095 : Epoch  4, Batch   1408, Loss  0.861281, Average Loss  0.868193, Time  0.402426
2021-09-09 06:17:24.918183 : Epoch  4, Batch   1409, Loss  0.891845, Average Loss  0.868273, Time  0.351461
2021-09-09 06:17:26.725828 : Epoch  4, Batch   1410, Loss  0.859414, Average Loss  0.868175, Time  0.378963
2021-09-09 06:17:28.514032 : Epoch  4, Batch   1411, Loss  0.866362, Average Loss  0.868065, Time  0.354274
2021-09-09 06:17:30.380789 : Epoch  4, Batch   1412, Loss  0.868754, Average Loss  0.867992, Time  0.404884
2021-09-09 06:17:32.166791 : Epoch  4, Batch   1413, Loss  0.849482, Average Loss  0.867929, Time  0.347678
2021-09-09 06:17:33.950781 : Epoch  4, Batch   1414, Loss  0.880316, Average Loss  0.868020, Time  0.347846
2021-09-09 06:17:35.789881 : Epoch  4, Batch   1415, Loss  0.896457, Average Loss  0.868133, Time  0.400203
2021-09-09 06:17:37.588885 : Epoch  4, Batch   1416, Loss  0.902605, Average Loss  0.868375, Time  0.355664
2021-09-09 06:17:39.399777 : Epoch  4, Batch   1417, Loss  0.861555, Average Loss  0.868332, Time  0.384461
2021-09-09 06:17:41.179903 : Epoch  4, Batch   1418, Loss  0.873616, Average Loss  0.868355, Time  0.341586
2021-09-09 06:17:42.975243 : Epoch  4, Batch   1419, Loss  0.864963, Average Loss  0.868243, Time  0.351844
2021-09-09 06:17:44.834026 : Epoch  4, Batch   1420, Loss  0.845751, Average Loss  0.868125, Time  0.419662
2021-09-09 06:17:46.637943 : Epoch  4, Batch   1421, Loss  0.880386, Average Loss  0.868214, Time  0.355153
2021-09-09 06:17:48.575005 : Epoch  4, Batch   1422, Loss  0.854746, Average Loss  0.868113, Time  0.476412
2021-09-09 06:17:50.494925 : Epoch  4, Batch   1423, Loss  0.876511, Average Loss  0.868076, Time  0.369841
2021-09-09 06:17:52.290870 : Epoch  4, Batch   1424, Loss  0.865424, Average Loss  0.868144, Time  0.349980
2021-09-09 06:17:54.083973 : Epoch  4, Batch   1425, Loss  0.890266, Average Loss  0.868143, Time  0.372792
2021-09-09 06:17:55.916824 : Epoch  4, Batch   1426, Loss  0.898529, Average Loss  0.868450, Time  0.358404
2021-09-09 06:17:57.712163 : Epoch  4, Batch   1427, Loss  0.884296, Average Loss  0.868530, Time  0.346064
2021-09-09 06:17:59.513190 : Epoch  4, Batch   1428, Loss  0.871856, Average Loss  0.868570, Time  0.356574
2021-09-09 06:18:01.295500 : Epoch  4, Batch   1429, Loss  0.882213, Average Loss  0.868758, Time  0.340286
2021-09-09 06:18:03.098059 : Epoch  4, Batch   1430, Loss  0.918369, Average Loss  0.869024, Time  0.359833
2021-09-09 06:18:04.871773 : Epoch  4, Batch   1431, Loss  0.912423, Average Loss  0.869246, Time  0.341190
2021-09-09 06:18:06.646549 : Epoch  4, Batch   1432, Loss  0.871615, Average Loss  0.869212, Time  0.337122
2021-09-09 06:18:08.450130 : Epoch  4, Batch   1433, Loss  0.870691, Average Loss  0.869272, Time  0.339605
2021-09-09 06:18:10.285083 : Epoch  4, Batch   1434, Loss  0.859742, Average Loss  0.869259, Time  0.382882
2021-09-09 06:18:12.180153 : Epoch  4, Batch   1435, Loss  0.890099, Average Loss  0.869507, Time  0.353225
2021-09-09 06:18:13.967246 : Epoch  4, Batch   1436, Loss  0.865493, Average Loss  0.869481, Time  0.347217
2021-09-09 06:18:15.757420 : Epoch  4, Batch   1437, Loss  0.869901, Average Loss  0.869334, Time  0.355677
2021-09-09 06:18:17.604369 : Epoch  4, Batch   1438, Loss  0.868145, Average Loss  0.869405, Time  0.394005
2021-09-09 06:18:19.512797 : Epoch  4, Batch   1439, Loss  0.854034, Average Loss  0.869375, Time  0.389476
2021-09-09 06:18:21.290871 : Epoch  4, Batch   1440, Loss  0.882839, Average Loss  0.869306, Time  0.342534
2021-09-09 06:18:23.202958 : Epoch  4, Batch   1441, Loss  0.889012, Average Loss  0.869535, Time  0.457100
2021-09-09 06:18:24.994120 : Epoch  4, Batch   1442, Loss  0.856840, Average Loss  0.869589, Time  0.355406
2021-09-09 06:18:26.755972 : Epoch  4, Batch   1443, Loss  0.919266, Average Loss  0.869875, Time  0.337876
2021-09-09 06:18:28.642270 : Epoch  4, Batch   1444, Loss  0.854634, Average Loss  0.869839, Time  0.398839
2021-09-09 06:18:30.457841 : Epoch  4, Batch   1445, Loss  0.859602, Average Loss  0.869624, Time  0.356536
2021-09-09 06:18:32.385784 : Epoch  4, Batch   1446, Loss  0.864152, Average Loss  0.869682, Time  0.423732
2021-09-09 06:18:34.184443 : Epoch  4, Batch   1447, Loss  0.845811, Average Loss  0.869599, Time  0.343360
2021-09-09 06:18:35.988125 : Epoch  4, Batch   1448, Loss  0.894293, Average Loss  0.869785, Time  0.356868
2021-09-09 06:18:37.849023 : Epoch  4, Batch   1449, Loss  0.894365, Average Loss  0.869823, Time  0.413967
2021-09-09 06:18:39.679884 : Epoch  4, Batch   1450, Loss  0.906288, Average Loss  0.869880, Time  0.357513
2021-09-09 06:18:41.442802 : Epoch  4, Batch   1451, Loss  0.886322, Average Loss  0.869881, Time  0.337964
2021-09-09 06:18:43.385627 : Epoch  4, Batch   1452, Loss  0.868278, Average Loss  0.869931, Time  0.466260
2021-09-09 06:18:45.209788 : Epoch  4, Batch   1453, Loss  0.869044, Average Loss  0.869928, Time  0.358782
2021-09-09 06:18:47.028871 : Epoch  4, Batch   1454, Loss  0.884356, Average Loss  0.869927, Time  0.387269
2021-09-09 06:18:48.858839 : Epoch  4, Batch   1455, Loss  0.870088, Average Loss  0.870019, Time  0.394998
2021-09-09 06:18:50.682146 : Epoch  4, Batch   1456, Loss  0.864662, Average Loss  0.870007, Time  0.349215
2021-09-09 06:18:52.524425 : Epoch  4, Batch   1457, Loss  0.858878, Average Loss  0.870078, Time  0.402085
2021-09-09 06:18:54.322187 : Epoch  4, Batch   1458, Loss  0.873204, Average Loss  0.870120, Time  0.354002
2021-09-09 06:18:56.108353 : Epoch  4, Batch   1459, Loss  0.879310, Average Loss  0.870330, Time  0.343671
2021-09-09 06:18:57.974452 : Epoch  4, Batch   1460, Loss  0.847161, Average Loss  0.870194, Time  0.417177
2021-09-09 06:18:59.786284 : Epoch  4, Batch   1461, Loss  0.881360, Average Loss  0.870129, Time  0.350350
2021-09-09 06:19:01.662249 : Epoch  4, Batch   1462, Loss  0.841648, Average Loss  0.869863, Time  0.435465
2021-09-09 06:19:03.582531 : Epoch  4, Batch   1463, Loss  0.862946, Average Loss  0.869923, Time  0.440979
2021-09-09 06:19:05.398300 : Epoch  4, Batch   1464, Loss  0.875482, Average Loss  0.869863, Time  0.334162
2021-09-09 06:19:07.311805 : Epoch  4, Batch   1465, Loss  0.883454, Average Loss  0.869971, Time  0.393935
2021-09-09 06:19:09.106862 : Epoch  4, Batch   1466, Loss  0.847464, Average Loss  0.869924, Time  0.340806
2021-09-09 06:19:10.890788 : Epoch  4, Batch   1467, Loss  0.869643, Average Loss  0.870024, Time  0.350936
2021-09-09 06:24:04.469716 : CheckPoint: Validation Loss  0.00059391, Best Loss  0.00056427
2021-09-09 06:24:06.299138 : Epoch  4, Batch   1468, Loss  0.873860, Average Loss  0.869966, Time  0.401164
2021-09-09 06:24:08.054823 : Epoch  4, Batch   1469, Loss  0.863833, Average Loss  0.870038, Time  0.341410
2021-09-09 06:24:09.837795 : Epoch  4, Batch   1470, Loss  0.858247, Average Loss  0.869908, Time  0.352029
2021-09-09 06:24:11.667684 : Epoch  4, Batch   1471, Loss  0.863770, Average Loss  0.869904, Time  0.393473
2021-09-09 06:24:13.455337 : Epoch  4, Batch   1472, Loss  0.835796, Average Loss  0.869785, Time  0.353767
2021-09-09 06:24:15.294951 : Epoch  4, Batch   1473, Loss  0.852108, Average Loss  0.869540, Time  0.401107
2021-09-09 06:24:17.172037 : Epoch  4, Batch   1474, Loss  0.897343, Average Loss  0.869682, Time  0.346948
2021-09-09 06:24:19.002799 : Epoch  4, Batch   1475, Loss  0.892699, Average Loss  0.869823, Time  0.343866
2021-09-09 06:24:20.884698 : Epoch  4, Batch   1476, Loss  0.892489, Average Loss  0.869853, Time  0.453430
2021-09-09 06:24:22.701787 : Epoch  4, Batch   1477, Loss  0.857947, Average Loss  0.869643, Time  0.354433
2021-09-09 06:24:24.537185 : Epoch  4, Batch   1478, Loss  0.887931, Average Loss  0.869779, Time  0.347416
2021-09-09 06:24:26.336687 : Epoch  4, Batch   1479, Loss  0.830106, Average Loss  0.869673, Time  0.336233
2021-09-09 06:24:28.177863 : Epoch  4, Batch   1480, Loss  0.880149, Average Loss  0.869720, Time  0.351873
2021-09-09 06:24:30.061782 : Epoch  4, Batch   1481, Loss  0.857677, Average Loss  0.869717, Time  0.412413
2021-09-09 06:24:31.860728 : Epoch  4, Batch   1482, Loss  0.868014, Average Loss  0.869772, Time  0.352314
2021-09-09 06:24:33.758799 : Epoch  4, Batch   1483, Loss  0.881024, Average Loss  0.869818, Time  0.389319
2021-09-09 06:24:35.609485 : Epoch  4, Batch   1484, Loss  0.878629, Average Loss  0.869729, Time  0.390101
2021-09-09 06:24:37.415036 : Epoch  4, Batch   1485, Loss  0.840033, Average Loss  0.869523, Time  0.361134
2021-09-09 06:24:39.278791 : Epoch  4, Batch   1486, Loss  0.865990, Average Loss  0.869476, Time  0.440167
2021-09-09 06:24:41.067676 : Epoch  4, Batch   1487, Loss  0.841225, Average Loss  0.869293, Time  0.351848
2021-09-09 06:24:42.948825 : Epoch  4, Batch   1488, Loss  0.868858, Average Loss  0.869241, Time  0.364775
2021-09-09 06:24:44.789200 : Epoch  4, Batch   1489, Loss  0.889858, Average Loss  0.869340, Time  0.403674
2021-09-09 06:24:46.580996 : Epoch  4, Batch   1490, Loss  0.886587, Average Loss  0.869498, Time  0.355866
2021-09-09 06:24:48.433809 : Epoch  4, Batch   1491, Loss  0.869740, Average Loss  0.869425, Time  0.409224
2021-09-09 06:24:50.315966 : Epoch  4, Batch   1492, Loss  0.876562, Average Loss  0.869397, Time  0.429288
2021-09-09 06:24:52.100845 : Epoch  4, Batch   1493, Loss  0.854092, Average Loss  0.869363, Time  0.356817
2021-09-09 06:24:53.940521 : Epoch  4, Batch   1494, Loss  0.877324, Average Loss  0.869341, Time  0.379853
2021-09-09 06:24:55.699782 : Epoch  4, Batch   1495, Loss  0.840640, Average Loss  0.869318, Time  0.325394
2021-09-09 06:24:57.462555 : Epoch  4, Batch   1496, Loss  0.874786, Average Loss  0.869355, Time  0.340999
2021-09-09 06:24:59.310098 : Epoch  4, Batch   1497, Loss  0.882099, Average Loss  0.869282, Time  0.425125
2021-09-09 06:25:01.192831 : Epoch  4, Batch   1498, Loss  0.876114, Average Loss  0.869373, Time  0.356525
2021-09-09 06:25:03.025749 : Epoch  4, Batch   1499, Loss  0.826944, Average Loss  0.869176, Time  0.365360
2021-09-09 06:25:04.847837 : Epoch  4, Batch   1500, Loss  0.890697, Average Loss  0.869378, Time  0.344877
2021-09-09 06:25:06.661502 : Epoch  4, Batch   1501, Loss  0.880520, Average Loss  0.869263, Time  0.384165
2021-09-09 06:25:08.594797 : Epoch  4, Batch   1502, Loss  0.875962, Average Loss  0.869381, Time  0.443006
2021-09-09 06:25:10.431226 : Epoch  4, Batch   1503, Loss  0.849776, Average Loss  0.869147, Time  0.407294
2021-09-09 06:25:12.223492 : Epoch  4, Batch   1504, Loss  0.857388, Average Loss  0.869175, Time  0.356200
2021-09-09 06:25:14.047164 : Epoch  4, Batch   1505, Loss  0.879709, Average Loss  0.869242, Time  0.357197
2021-09-09 06:25:15.829228 : Epoch  4, Batch   1506, Loss  0.868894, Average Loss  0.869228, Time  0.362985
2021-09-09 06:25:17.658958 : Epoch  4, Batch   1507, Loss  0.867934, Average Loss  0.869251, Time  0.389565
2021-09-09 06:25:19.473780 : Epoch  4, Batch   1508, Loss  0.871590, Average Loss  0.869313, Time  0.352989
2021-09-09 06:25:21.347068 : Epoch  4, Batch   1509, Loss  0.858241, Average Loss  0.869131, Time  0.437687
2021-09-09 06:25:23.132993 : Epoch  4, Batch   1510, Loss  0.855510, Average Loss  0.869060, Time  0.363820
2021-09-09 06:25:24.928241 : Epoch  4, Batch   1511, Loss  0.880354, Average Loss  0.869280, Time  0.359328
2021-09-09 06:25:26.757217 : Epoch  4, Batch   1512, Loss  0.849781, Average Loss  0.869208, Time  0.374981
2021-09-09 06:25:28.529909 : Epoch  4, Batch   1513, Loss  0.868024, Average Loss  0.869320, Time  0.359085
2021-09-09 06:25:30.410521 : Epoch  4, Batch   1514, Loss  0.885659, Average Loss  0.869445, Time  0.436543
2021-09-09 06:25:32.211970 : Epoch  4, Batch   1515, Loss  0.865963, Average Loss  0.869471, Time  0.356524
2021-09-09 06:25:33.993685 : Epoch  4, Batch   1516, Loss  0.855945, Average Loss  0.869349, Time  0.356841
2021-09-09 06:25:35.860825 : Epoch  4, Batch   1517, Loss  0.892528, Average Loss  0.869515, Time  0.434168
2021-09-09 06:25:37.659650 : Epoch  4, Batch   1518, Loss  0.887000, Average Loss  0.869715, Time  0.366216
2021-09-09 06:25:39.462775 : Epoch  4, Batch   1519, Loss  0.907895, Average Loss  0.869875, Time  0.355015
2021-09-09 06:25:41.319270 : Epoch  4, Batch   1520, Loss  0.854204, Average Loss  0.869693, Time  0.430334
2021-09-09 06:25:43.092399 : Epoch  4, Batch   1521, Loss  0.867728, Average Loss  0.869738, Time  0.357472
2021-09-09 06:25:44.861820 : Epoch  4, Batch   1522, Loss  0.841811, Average Loss  0.869731, Time  0.340707
2021-09-09 06:25:46.746778 : Epoch  4, Batch   1523, Loss  0.853296, Average Loss  0.869707, Time  0.429206
2021-09-09 06:25:48.540211 : Epoch  4, Batch   1524, Loss  0.884656, Average Loss  0.869751, Time  0.353082
2021-09-09 06:25:50.323814 : Epoch  4, Batch   1525, Loss  0.858040, Average Loss  0.869798, Time  0.349751
2021-09-09 06:25:52.086749 : Epoch  4, Batch   1526, Loss  0.856364, Average Loss  0.869694, Time  0.338126
2021-09-09 06:25:53.873922 : Epoch  4, Batch   1527, Loss  0.863101, Average Loss  0.869582, Time  0.344360
2021-09-09 06:25:55.700894 : Epoch  4, Batch   1528, Loss  0.852145, Average Loss  0.869497, Time  0.405883
2021-09-09 06:25:57.475779 : Epoch  4, Batch   1529, Loss  0.852903, Average Loss  0.869612, Time  0.356558
2021-09-09 06:25:59.252817 : Epoch  4, Batch   1530, Loss  0.873004, Average Loss  0.869648, Time  0.349138
2021-09-09 06:26:01.091319 : Epoch  4, Batch   1531, Loss  0.884063, Average Loss  0.869717, Time  0.386009
2021-09-09 06:26:02.846089 : Epoch  4, Batch   1532, Loss  0.875342, Average Loss  0.869724, Time  0.335684
2021-09-09 06:26:04.754848 : Epoch  4, Batch   1533, Loss  0.886472, Average Loss  0.869810, Time  0.454563
2021-09-09 06:26:06.543790 : Epoch  4, Batch   1534, Loss  0.857447, Average Loss  0.869616, Time  0.363902
2021-09-09 06:26:08.346782 : Epoch  4, Batch   1535, Loss  0.847287, Average Loss  0.869489, Time  0.355497
2021-09-09 06:26:10.228773 : Epoch  4, Batch   1536, Loss  0.862246, Average Loss  0.869433, Time  0.419262
2021-09-09 06:26:12.001779 : Epoch  4, Batch   1537, Loss  0.865777, Average Loss  0.869459, Time  0.350523
2021-09-09 06:26:13.855890 : Epoch  4, Batch   1538, Loss  0.873649, Average Loss  0.869620, Time  0.399425
2021-09-09 06:26:15.637165 : Epoch  4, Batch   1539, Loss  0.834152, Average Loss  0.869394, Time  0.344622
2021-09-09 06:26:17.426937 : Epoch  4, Batch   1540, Loss  0.868244, Average Loss  0.869563, Time  0.345860
2021-09-09 06:26:19.209149 : Epoch  4, Batch   1541, Loss  0.856293, Average Loss  0.869586, Time  0.357751
2021-09-09 06:26:20.992347 : Epoch  4, Batch   1542, Loss  0.864208, Average Loss  0.869478, Time  0.346029
2021-09-09 06:26:22.861786 : Epoch  4, Batch   1543, Loss  0.873313, Average Loss  0.869427, Time  0.426415
2021-09-09 06:26:24.645132 : Epoch  4, Batch   1544, Loss  0.858196, Average Loss  0.869402, Time  0.355115
2021-09-09 06:26:26.429786 : Epoch  4, Batch   1545, Loss  0.848495, Average Loss  0.869379, Time  0.362646
2021-09-09 06:26:28.344503 : Epoch  4, Batch   1546, Loss  0.836486, Average Loss  0.869216, Time  0.446218
2021-09-09 06:26:30.117856 : Epoch  4, Batch   1547, Loss  0.845753, Average Loss  0.869177, Time  0.358045
2021-09-09 06:26:31.896964 : Epoch  4, Batch   1548, Loss  0.873053, Average Loss  0.869113, Time  0.351421
2021-09-09 06:26:33.762197 : Epoch  4, Batch   1549, Loss  0.863914, Average Loss  0.869094, Time  0.420222
2021-09-09 06:26:35.577513 : Epoch  4, Batch   1550, Loss  0.850379, Average Loss  0.868971, Time  0.356703
2021-09-09 06:26:37.417018 : Epoch  4, Batch   1551, Loss  0.875619, Average Loss  0.868938, Time  0.422070
2021-09-09 06:26:39.193310 : Epoch  4, Batch   1552, Loss  0.855524, Average Loss  0.868675, Time  0.356948
2021-09-09 06:26:41.073484 : Epoch  4, Batch   1553, Loss  0.869572, Average Loss  0.868664, Time  0.378148
2021-09-09 06:26:42.955310 : Epoch  4, Batch   1554, Loss  0.889095, Average Loss  0.868606, Time  0.462405
2021-09-09 06:26:44.717788 : Epoch  4, Batch   1555, Loss  0.890200, Average Loss  0.868640, Time  0.352244
2021-09-09 06:26:46.504779 : Epoch  4, Batch   1556, Loss  0.842889, Average Loss  0.868436, Time  0.350774
2021-09-09 06:26:48.312246 : Epoch  4, Batch   1557, Loss  0.863871, Average Loss  0.868381, Time  0.378856
2021-09-09 06:26:50.116339 : Epoch  4, Batch   1558, Loss  0.902070, Average Loss  0.868482, Time  0.349760
2021-09-09 06:26:51.970249 : Epoch  4, Batch   1559, Loss  0.846713, Average Loss  0.868557, Time  0.417025
2021-09-09 06:26:53.746861 : Epoch  4, Batch   1560, Loss  0.857580, Average Loss  0.868590, Time  0.357290
2021-09-09 06:26:55.513833 : Epoch  4, Batch   1561, Loss  0.846840, Average Loss  0.868431, Time  0.357436
2021-09-09 06:26:57.279999 : Epoch  4, Batch   1562, Loss  0.839764, Average Loss  0.868214, Time  0.353823
2021-09-09 06:26:59.067396 : Epoch  4, Batch   1563, Loss  0.869223, Average Loss  0.868389, Time  0.347005
2021-09-09 06:27:00.854784 : Epoch  4, Batch   1564, Loss  0.849308, Average Loss  0.868246, Time  0.374569
2021-09-09 06:27:02.692256 : Epoch  4, Batch   1565, Loss  0.870042, Average Loss  0.868192, Time  0.357143
2021-09-09 06:27:04.519836 : Epoch  4, Batch   1566, Loss  0.876304, Average Loss  0.868173, Time  0.418306
2021-09-09 06:27:06.343043 : Epoch  4, Batch   1567, Loss  0.890481, Average Loss  0.868220, Time  0.367475
2021-09-09 06:32:00.845714 : CheckPoint: Validation Loss  0.00062992, Best Loss  0.00056427
2021-09-09 06:32:02.668797 : Epoch  4, Batch   1568, Loss  0.874762, Average Loss  0.868209, Time  0.354682
2021-09-09 06:32:04.560787 : Epoch  4, Batch   1569, Loss  0.841865, Average Loss  0.868127, Time  0.457042
2021-09-09 06:32:06.327851 : Epoch  4, Batch   1570, Loss  0.866652, Average Loss  0.868208, Time  0.355023
2021-09-09 06:32:08.093915 : Epoch  4, Batch   1571, Loss  0.893738, Average Loss  0.868356, Time  0.358610
2021-09-09 06:32:09.927417 : Epoch  4, Batch   1572, Loss  0.867013, Average Loss  0.868427, Time  0.413047
2021-09-09 06:32:11.778851 : Epoch  4, Batch   1573, Loss  0.865764, Average Loss  0.868461, Time  0.404639
2021-09-09 06:32:13.675921 : Epoch  4, Batch   1574, Loss  0.858099, Average Loss  0.868266, Time  0.388527
2021-09-09 06:32:15.480938 : Epoch  4, Batch   1575, Loss  0.865971, Average Loss  0.868105, Time  0.364904
2021-09-09 06:32:17.224427 : Epoch  4, Batch   1576, Loss  0.897230, Average Loss  0.868208, Time  0.345512
2021-09-09 06:32:19.108792 : Epoch  4, Batch   1577, Loss  0.867832, Average Loss  0.868163, Time  0.432254
2021-09-09 06:32:20.926161 : Epoch  4, Batch   1578, Loss  0.855775, Average Loss  0.868241, Time  0.323433
2021-09-09 06:32:22.728913 : Epoch  4, Batch   1579, Loss  0.861606, Average Loss  0.868290, Time  0.375570
2021-09-09 06:32:24.480847 : Epoch  4, Batch   1580, Loss  0.860643, Average Loss  0.868266, Time  0.324417
2021-09-09 06:32:26.267329 : Epoch  4, Batch   1581, Loss  0.882774, Average Loss  0.868377, Time  0.337340
2021-09-09 06:32:28.032981 : Epoch  4, Batch   1582, Loss  0.844840, Average Loss  0.868176, Time  0.354510
2021-09-09 06:32:29.838348 : Epoch  4, Batch   1583, Loss  0.890228, Average Loss  0.868273, Time  0.357161
2021-09-09 06:32:31.636395 : Epoch  4, Batch   1584, Loss  0.836623, Average Loss  0.868131, Time  0.359219
2021-09-09 06:32:33.468918 : Epoch  4, Batch   1585, Loss  0.859790, Average Loss  0.868148, Time  0.396345
2021-09-09 06:32:35.258861 : Epoch  4, Batch   1586, Loss  0.851477, Average Loss  0.868053, Time  0.365498
2021-09-09 06:32:37.057778 : Epoch  4, Batch   1587, Loss  0.892190, Average Loss  0.868262, Time  0.379127
2021-09-09 06:32:38.843944 : Epoch  4, Batch   1588, Loss  0.863100, Average Loss  0.868212, Time  0.357723
2021-09-09 06:32:40.662056 : Epoch  4, Batch   1589, Loss  0.852442, Average Loss  0.868125, Time  0.376290
2021-09-09 06:32:42.571879 : Epoch  4, Batch   1590, Loss  0.859441, Average Loss  0.868225, Time  0.356334
2021-09-09 06:32:44.391358 : Epoch  4, Batch   1591, Loss  0.838786, Average Loss  0.868035, Time  0.345717
2021-09-09 06:32:46.166573 : Epoch  4, Batch   1592, Loss  0.848231, Average Loss  0.867984, Time  0.335965
2021-09-09 06:32:47.925782 : Epoch  4, Batch   1593, Loss  0.874057, Average Loss  0.867903, Time  0.339694
2021-09-09 06:32:49.763355 : Epoch  4, Batch   1594, Loss  0.862252, Average Loss  0.867908, Time  0.419812
2021-09-09 06:32:51.646782 : Epoch  4, Batch   1595, Loss  0.837283, Average Loss  0.867757, Time  0.398660
2021-09-09 06:32:53.520549 : Epoch  4, Batch   1596, Loss  0.853917, Average Loss  0.867636, Time  0.419148
2021-09-09 06:32:55.372410 : Epoch  4, Batch   1597, Loss  0.890051, Average Loss  0.867779, Time  0.390253
2021-09-09 06:32:57.255977 : Epoch  4, Batch   1598, Loss  0.891035, Average Loss  0.868127, Time  0.388720
2021-09-09 06:32:59.173238 : Epoch  4, Batch   1599, Loss  0.880844, Average Loss  0.868118, Time  0.462521
2021-09-09 06:33:01.047231 : Epoch  4, Batch   1600, Loss  0.889578, Average Loss  0.868305, Time  0.403441
2021-09-09 06:33:02.955579 : Epoch  4, Batch   1601, Loss  0.858453, Average Loss  0.868417, Time  0.457667
2021-09-09 06:33:04.794434 : Epoch  4, Batch   1602, Loss  0.850993, Average Loss  0.868316, Time  0.377110
2021-09-09 06:33:06.655842 : Epoch  4, Batch   1603, Loss  0.835355, Average Loss  0.868118, Time  0.398922
2021-09-09 06:33:08.503969 : Epoch  4, Batch   1604, Loss  0.889026, Average Loss  0.868308, Time  0.364598
2021-09-09 06:33:10.276956 : Epoch  4, Batch   1605, Loss  0.867175, Average Loss  0.868412, Time  0.353333
2021-09-09 06:33:12.313316 : Epoch  4, Batch   1606, Loss  0.893613, Average Loss  0.868570, Time  0.472064
2021-09-09 06:33:14.170132 : Epoch  4, Batch   1607, Loss  0.856770, Average Loss  0.868369, Time  0.398357
2021-09-09 06:33:16.043831 : Epoch  4, Batch   1608, Loss  0.848998, Average Loss  0.868307, Time  0.398994
2021-09-09 06:33:17.928799 : Epoch  4, Batch   1609, Loss  0.848108, Average Loss  0.868089, Time  0.368600
2021-09-09 06:33:19.754347 : Epoch  4, Batch   1610, Loss  0.854371, Average Loss  0.868064, Time  0.365061
2021-09-09 06:33:21.610951 : Epoch  4, Batch   1611, Loss  0.851723, Average Loss  0.867990, Time  0.424245
2021-09-09 06:33:23.485882 : Epoch  4, Batch   1612, Loss  0.902840, Average Loss  0.868161, Time  0.368704
2021-09-09 06:33:25.278169 : Epoch  4, Batch   1613, Loss  0.858701, Average Loss  0.868207, Time  0.370311
2021-09-09 06:33:27.050780 : Epoch  4, Batch   1614, Loss  0.889884, Average Loss  0.868255, Time  0.343347
2021-09-09 06:33:28.797772 : Epoch  4, Batch   1615, Loss  0.882073, Average Loss  0.868183, Time  0.329383
2021-09-09 06:33:30.701336 : Epoch  4, Batch   1616, Loss  0.818375, Average Loss  0.867762, Time  0.427832
2021-09-09 06:33:32.529450 : Epoch  4, Batch   1617, Loss  0.867675, Average Loss  0.867792, Time  0.351218
2021-09-09 06:33:34.306893 : Epoch  4, Batch   1618, Loss  0.879530, Average Loss  0.867822, Time  0.338709
2021-09-09 06:33:36.165219 : Epoch  4, Batch   1619, Loss  0.875825, Average Loss  0.867876, Time  0.434087
2021-09-09 06:33:37.929331 : Epoch  4, Batch   1620, Loss  0.863526, Average Loss  0.867965, Time  0.351979
2021-09-09 06:33:39.897817 : Epoch  4, Batch   1621, Loss  0.885433, Average Loss  0.867990, Time  0.479436
2021-09-09 06:33:41.749922 : Epoch  4, Batch   1622, Loss  0.860837, Average Loss  0.868021, Time  0.395774
2021-09-09 06:33:43.608540 : Epoch  4, Batch   1623, Loss  0.870818, Average Loss  0.867992, Time  0.398951
2021-09-09 06:33:45.527269 : Epoch  4, Batch   1624, Loss  0.844438, Average Loss  0.867887, Time  0.465733
2021-09-09 06:33:47.367722 : Epoch  4, Batch   1625, Loss  0.864513, Average Loss  0.867759, Time  0.387658
2021-09-09 06:33:49.216979 : Epoch  4, Batch   1626, Loss  0.839729, Average Loss  0.867465, Time  0.397360
2021-09-09 06:33:51.137539 : Epoch  4, Batch   1627, Loss  0.885414, Average Loss  0.867470, Time  0.453535
2021-09-09 06:33:52.926244 : Epoch  4, Batch   1628, Loss  0.889804, Average Loss  0.867560, Time  0.345259
2021-09-09 06:33:54.719594 : Epoch  4, Batch   1629, Loss  0.853907, Average Loss  0.867418, Time  0.370432
2021-09-09 06:33:56.476114 : Epoch  4, Batch   1630, Loss  0.856234, Average Loss  0.867108, Time  0.337950
2021-09-09 06:33:58.268341 : Epoch  4, Batch   1631, Loss  0.845315, Average Loss  0.866772, Time  0.357169
2021-09-09 06:34:00.119096 : Epoch  4, Batch   1632, Loss  0.855960, Average Loss  0.866694, Time  0.431417
2021-09-09 06:34:01.899479 : Epoch  4, Batch   1633, Loss  0.838767, Average Loss  0.866534, Time  0.348795
2021-09-09 06:34:03.670171 : Epoch  4, Batch   1634, Loss  0.852938, Average Loss  0.866500, Time  0.346998
2021-09-09 06:34:05.457777 : Epoch  4, Batch   1635, Loss  0.895128, Average Loss  0.866525, Time  0.361299
2021-09-09 06:34:07.239841 : Epoch  4, Batch   1636, Loss  0.884550, Average Loss  0.866621, Time  0.353311
2021-09-09 06:34:09.116079 : Epoch  4, Batch   1637, Loss  0.889622, Average Loss  0.866719, Time  0.447761
2021-09-09 06:34:10.952788 : Epoch  4, Batch   1638, Loss  0.869154, Average Loss  0.866724, Time  0.371013
2021-09-09 06:34:12.828842 : Epoch  4, Batch   1639, Loss  0.833887, Average Loss  0.866624, Time  0.396081
2021-09-09 06:34:14.640776 : Epoch  4, Batch   1640, Loss  0.852074, Average Loss  0.866470, Time  0.370641
2021-09-09 06:34:16.443276 : Epoch  4, Batch   1641, Loss  0.876104, Average Loss  0.866405, Time  0.348029
2021-09-09 06:34:18.231980 : Epoch  4, Batch   1642, Loss  0.883329, Average Loss  0.866538, Time  0.344552
2021-09-09 06:34:20.098053 : Epoch  4, Batch   1643, Loss  0.875620, Average Loss  0.866319, Time  0.397238
2021-09-09 06:34:21.904813 : Epoch  4, Batch   1644, Loss  0.882180, Average Loss  0.866457, Time  0.354691
2021-09-09 06:34:23.692139 : Epoch  4, Batch   1645, Loss  0.862958, Average Loss  0.866474, Time  0.356885
2021-09-09 06:34:25.514776 : Epoch  4, Batch   1646, Loss  0.872307, Average Loss  0.866515, Time  0.346465
2021-09-09 06:34:27.327980 : Epoch  4, Batch   1647, Loss  0.847891, Average Loss  0.866525, Time  0.355184
2021-09-09 06:34:29.095952 : Epoch  4, Batch   1648, Loss  0.849982, Average Loss  0.866304, Time  0.338661
2021-09-09 06:34:30.945932 : Epoch  4, Batch   1649, Loss  0.901200, Average Loss  0.866338, Time  0.410738
2021-09-09 06:34:32.840056 : Epoch  4, Batch   1650, Loss  0.860260, Average Loss  0.866108, Time  0.400117
2021-09-09 06:34:34.761858 : Epoch  4, Batch   1651, Loss  0.866273, Average Loss  0.866007, Time  0.446317
2021-09-09 06:34:36.625788 : Epoch  4, Batch   1652, Loss  0.866973, Average Loss  0.866001, Time  0.395712
2021-09-09 06:34:38.406784 : Epoch  4, Batch   1653, Loss  0.895769, Average Loss  0.866134, Time  0.351284
2021-09-09 06:34:40.168989 : Epoch  4, Batch   1654, Loss  0.856220, Average Loss  0.865994, Time  0.339000
2021-09-09 06:34:41.936789 : Epoch  4, Batch   1655, Loss  0.875613, Average Loss  0.866021, Time  0.342786
2021-09-09 06:34:43.716800 : Epoch  4, Batch   1656, Loss  0.869420, Average Loss  0.866045, Time  0.358049
2021-09-09 06:34:45.472723 : Epoch  4, Batch   1657, Loss  0.851082, Average Loss  0.866006, Time  0.326882
2021-09-09 06:34:47.314523 : Epoch  4, Batch   1658, Loss  0.866457, Average Loss  0.865972, Time  0.373075
2021-09-09 06:34:49.111879 : Epoch  4, Batch   1659, Loss  0.902212, Average Loss  0.866087, Time  0.372164
2021-09-09 06:34:50.985963 : Epoch  4, Batch   1660, Loss  0.853179, Average Loss  0.866117, Time  0.423203
2021-09-09 06:34:52.945872 : Epoch  4, Batch   1661, Loss  0.824131, Average Loss  0.865831, Time  0.364597
2021-09-09 06:34:54.791959 : Epoch  4, Batch   1662, Loss  0.848708, Average Loss  0.865866, Time  0.361243
2021-09-09 06:34:56.639259 : Epoch  4, Batch   1663, Loss  0.859665, Average Loss  0.865850, Time  0.415348
2021-09-09 06:34:58.446937 : Epoch  4, Batch   1664, Loss  0.861121, Average Loss  0.865778, Time  0.352526
2021-09-09 06:35:00.259243 : Epoch  4, Batch   1665, Loss  0.870445, Average Loss  0.865713, Time  0.350734
2021-09-09 06:35:02.037622 : Epoch  4, Batch   1666, Loss  0.853623, Average Loss  0.865744, Time  0.350320
2021-09-09 06:35:03.916730 : Epoch  4, Batch   1667, Loss  0.852350, Average Loss  0.865657, Time  0.393059
2021-09-09 06:39:58.437717 : CheckPoint: Validation Loss  0.00058756, Best Loss  0.00056427
2021-09-09 06:40:00.239052 : Epoch  4, Batch   1668, Loss  0.899621, Average Loss  0.865786, Time  0.361733
2021-09-09 06:40:02.109849 : Epoch  4, Batch   1669, Loss  0.867988, Average Loss  0.865807, Time  0.377359
2021-09-09 06:40:03.975353 : Epoch  4, Batch   1670, Loss  0.878409, Average Loss  0.865908, Time  0.395159
2021-09-09 06:40:05.854292 : Epoch  4, Batch   1671, Loss  0.861633, Average Loss  0.865897, Time  0.414695
2021-09-09 06:40:07.707778 : Epoch  4, Batch   1672, Loss  0.877622, Average Loss  0.866106, Time  0.391825
2021-09-09 06:40:09.567789 : Epoch  4, Batch   1673, Loss  0.842443, Average Loss  0.866058, Time  0.376690
2021-09-09 06:40:11.443881 : Epoch  4, Batch   1674, Loss  0.852282, Average Loss  0.865832, Time  0.385010
2021-09-09 06:40:13.293307 : Epoch  4, Batch   1675, Loss  0.851806, Average Loss  0.865628, Time  0.381232
2021-09-09 06:40:15.191648 : Epoch  4, Batch   1676, Loss  0.844970, Average Loss  0.865390, Time  0.438959
2021-09-09 06:40:16.968804 : Epoch  4, Batch   1677, Loss  0.852407, Average Loss  0.865363, Time  0.329992
2021-09-09 06:40:18.739758 : Epoch  4, Batch   1678, Loss  0.882718, Average Loss  0.865337, Time  0.359918
2021-09-09 06:40:20.566053 : Epoch  4, Batch   1679, Loss  0.827567, Average Loss  0.865324, Time  0.381611
2021-09-09 06:40:22.503935 : Epoch  4, Batch   1680, Loss  0.845993, Average Loss  0.865153, Time  0.380960
2021-09-09 06:40:24.402616 : Epoch  4, Batch   1681, Loss  0.870295, Average Loss  0.865216, Time  0.442317
2021-09-09 06:40:26.285390 : Epoch  4, Batch   1682, Loss  0.864394, Average Loss  0.865198, Time  0.413565
2021-09-09 06:40:28.103793 : Epoch  4, Batch   1683, Loss  0.873616, Average Loss  0.865161, Time  0.372063
2021-09-09 06:40:29.944607 : Epoch  4, Batch   1684, Loss  0.857190, Average Loss  0.865054, Time  0.423525
2021-09-09 06:40:31.722891 : Epoch  4, Batch   1685, Loss  0.862405, Average Loss  0.865166, Time  0.346412
2021-09-09 06:40:33.490921 : Epoch  4, Batch   1686, Loss  0.866154, Average Loss  0.865167, Time  0.344956
2021-09-09 06:40:35.341361 : Epoch  4, Batch   1687, Loss  0.861515, Average Loss  0.865268, Time  0.438170
2021-09-09 06:40:37.172902 : Epoch  4, Batch   1688, Loss  0.862444, Average Loss  0.865236, Time  0.353694
2021-09-09 06:40:39.040803 : Epoch  4, Batch   1689, Loss  0.875233, Average Loss  0.865163, Time  0.402467
2021-09-09 06:40:40.830980 : Epoch  4, Batch   1690, Loss  0.855390, Average Loss  0.865007, Time  0.365866
2021-09-09 06:40:42.623809 : Epoch  4, Batch   1691, Loss  0.850316, Average Loss  0.864910, Time  0.355383
2021-09-09 06:40:44.403475 : Epoch  4, Batch   1692, Loss  0.880823, Average Loss  0.864931, Time  0.351922
2021-09-09 06:40:46.161779 : Epoch  4, Batch   1693, Loss  0.893661, Average Loss  0.865129, Time  0.342808
2021-09-09 06:40:48.099865 : Epoch  4, Batch   1694, Loss  0.884894, Average Loss  0.865167, Time  0.458417
2021-09-09 06:40:49.964791 : Epoch  4, Batch   1695, Loss  0.875359, Average Loss  0.865340, Time  0.394559
2021-09-09 06:40:51.792803 : Epoch  4, Batch   1696, Loss  0.880728, Average Loss  0.865370, Time  0.367579
2021-09-09 06:40:53.686297 : Epoch  4, Batch   1697, Loss  0.839062, Average Loss  0.865155, Time  0.420773
2021-09-09 06:40:55.530206 : Epoch  4, Batch   1698, Loss  0.902237, Average Loss  0.865286, Time  0.378553
2021-09-09 06:40:57.496842 : Epoch  4, Batch   1699, Loss  0.848744, Average Loss  0.865395, Time  0.476164
2021-09-09 06:40:59.324026 : Epoch  4, Batch   1700, Loss  0.889187, Average Loss  0.865387, Time  0.356193
2021-09-09 06:41:01.075014 : Epoch  4, Batch   1701, Loss  0.863935, Average Loss  0.865304, Time  0.330730
2021-09-09 06:41:02.982862 : Epoch  4, Batch   1702, Loss  0.863763, Average Loss  0.865243, Time  0.395350
2021-09-09 06:41:04.789266 : Epoch  4, Batch   1703, Loss  0.867370, Average Loss  0.865331, Time  0.370109
2021-09-09 06:41:06.667177 : Epoch  4, Batch   1704, Loss  0.858913, Average Loss  0.865339, Time  0.422585
2021-09-09 06:41:08.498627 : Epoch  4, Batch   1705, Loss  0.824992, Average Loss  0.865065, Time  0.384231
2021-09-09 06:41:10.435058 : Epoch  4, Batch   1706, Loss  0.835395, Average Loss  0.864898, Time  0.411479
2021-09-09 06:41:12.304794 : Epoch  4, Batch   1707, Loss  0.892296, Average Loss  0.865019, Time  0.380030
2021-09-09 06:41:14.089789 : Epoch  4, Batch   1708, Loss  0.870449, Average Loss  0.865014, Time  0.352607
2021-09-09 06:41:15.961013 : Epoch  4, Batch   1709, Loss  0.829030, Average Loss  0.864868, Time  0.364596
2021-09-09 06:41:17.895447 : Epoch  4, Batch   1710, Loss  0.873360, Average Loss  0.864957, Time  0.387523
2021-09-09 06:41:19.675989 : Epoch  4, Batch   1711, Loss  0.857748, Average Loss  0.864844, Time  0.344689
2021-09-09 06:41:21.486413 : Epoch  4, Batch   1712, Loss  0.878602, Average Loss  0.864988, Time  0.368374
2021-09-09 06:41:23.335376 : Epoch  4, Batch   1713, Loss  0.858033, Average Loss  0.864938, Time  0.341469
2021-09-09 06:41:25.299174 : Epoch  4, Batch   1714, Loss  0.878231, Average Loss  0.864901, Time  0.373650
2021-09-09 06:41:27.108983 : Epoch  4, Batch   1715, Loss  0.879698, Average Loss  0.864970, Time  0.351718
2021-09-09 06:41:28.884308 : Epoch  4, Batch   1716, Loss  0.875273, Average Loss  0.865066, Time  0.346267
2021-09-09 06:41:30.731718 : Epoch  4, Batch   1717, Loss  0.872513, Average Loss  0.864966, Time  0.415242
2021-09-09 06:41:32.585991 : Epoch  4, Batch   1718, Loss  0.889328, Average Loss  0.864978, Time  0.389328
2021-09-09 06:41:34.456158 : Epoch  4, Batch   1719, Loss  0.860255, Average Loss  0.864740, Time  0.387551
2021-09-09 06:41:36.401799 : Epoch  4, Batch   1720, Loss  0.890122, Average Loss  0.864919, Time  0.479256
2021-09-09 06:41:38.256690 : Epoch  4, Batch   1721, Loss  0.877000, Average Loss  0.864965, Time  0.391466
2021-09-09 06:41:40.127706 : Epoch  4, Batch   1722, Loss  0.869094, Average Loss  0.865102, Time  0.396984
2021-09-09 06:41:42.038863 : Epoch  4, Batch   1723, Loss  0.863959, Average Loss  0.865155, Time  0.439231
2021-09-09 06:41:43.934542 : Epoch  4, Batch   1724, Loss  0.844990, Average Loss  0.864957, Time  0.397518
2021-09-09 06:41:45.815779 : Epoch  4, Batch   1725, Loss  0.879953, Average Loss  0.865066, Time  0.405766
2021-09-09 06:41:47.741255 : Epoch  4, Batch   1726, Loss  0.873304, Average Loss  0.865151, Time  0.428160
2021-09-09 06:41:49.627888 : Epoch  4, Batch   1727, Loss  0.884268, Average Loss  0.865257, Time  0.395271
2021-09-09 06:41:51.436440 : Epoch  4, Batch   1728, Loss  0.871006, Average Loss  0.865351, Time  0.336248
2021-09-09 06:41:53.273639 : Epoch  4, Batch   1729, Loss  0.850972, Average Loss  0.865342, Time  0.399404
2021-09-09 06:41:55.263966 : Epoch  4, Batch   1730, Loss  0.890647, Average Loss  0.865430, Time  0.387225
2021-09-09 06:41:57.126228 : Epoch  4, Batch   1731, Loss  0.851031, Average Loss  0.865265, Time  0.395191
2021-09-09 06:41:59.058347 : Epoch  4, Batch   1732, Loss  0.884103, Average Loss  0.865308, Time  0.430512
2021-09-09 06:42:00.932190 : Epoch  4, Batch   1733, Loss  0.854816, Average Loss  0.865150, Time  0.390891
2021-09-09 06:42:02.832164 : Epoch  4, Batch   1734, Loss  0.865006, Average Loss  0.865188, Time  0.424123
2021-09-09 06:42:04.602875 : Epoch  4, Batch   1735, Loss  0.822726, Average Loss  0.865065, Time  0.349276
2021-09-09 06:42:06.395037 : Epoch  4, Batch   1736, Loss  0.852760, Average Loss  0.865018, Time  0.345384
2021-09-09 06:42:08.193638 : Epoch  4, Batch   1737, Loss  0.847186, Average Loss  0.864925, Time  0.374653
2021-09-09 06:42:10.157795 : Epoch  4, Batch   1738, Loss  0.907203, Average Loss  0.865093, Time  0.408050
2021-09-09 06:42:12.066485 : Epoch  4, Batch   1739, Loss  0.860533, Average Loss  0.865224, Time  0.430880
2021-09-09 06:42:13.866408 : Epoch  4, Batch   1740, Loss  0.882419, Average Loss  0.865295, Time  0.361496
2021-09-09 06:42:15.744250 : Epoch  4, Batch   1741, Loss  0.880703, Average Loss  0.865417, Time  0.414823
2021-09-09 06:42:17.549116 : Epoch  4, Batch   1742, Loss  0.884448, Average Loss  0.865519, Time  0.354179
2021-09-09 06:42:19.392470 : Epoch  4, Batch   1743, Loss  0.867436, Average Loss  0.865489, Time  0.372799
2021-09-09 06:42:21.315846 : Epoch  4, Batch   1744, Loss  0.842656, Average Loss  0.865412, Time  0.448553
2021-09-09 06:42:23.273813 : Epoch  4, Batch   1745, Loss  0.871314, Average Loss  0.865526, Time  0.411542
2021-09-09 06:42:25.214514 : Epoch  4, Batch   1746, Loss  0.872229, Average Loss  0.865704, Time  0.462451
2021-09-09 06:42:27.128011 : Epoch  4, Batch   1747, Loss  0.887842, Average Loss  0.865915, Time  0.432018
2021-09-09 06:42:28.918286 : Epoch  4, Batch   1748, Loss  0.848624, Average Loss  0.865793, Time  0.351518
2021-09-09 06:42:30.692073 : Epoch  4, Batch   1749, Loss  0.852825, Average Loss  0.865737, Time  0.340094
2021-09-09 06:42:32.485387 : Epoch  4, Batch   1750, Loss  0.879513, Average Loss  0.865883, Time  0.356635
2021-09-09 06:42:34.348773 : Epoch  4, Batch   1751, Loss  0.828344, Average Loss  0.865646, Time  0.401363
2021-09-09 06:42:36.114946 : Epoch  4, Batch   1752, Loss  0.855311, Average Loss  0.865645, Time  0.337686
2021-09-09 06:42:37.903239 : Epoch  4, Batch   1753, Loss  0.877489, Average Loss  0.865685, Time  0.369087
2021-09-09 06:42:39.722097 : Epoch  4, Batch   1754, Loss  0.903171, Average Loss  0.865755, Time  0.356124
2021-09-09 06:42:41.621782 : Epoch  4, Batch   1755, Loss  0.840797, Average Loss  0.865508, Time  0.359918
2021-09-09 06:42:43.515558 : Epoch  4, Batch   1756, Loss  0.882211, Average Loss  0.865705, Time  0.435422
2021-09-09 06:42:45.343028 : Epoch  4, Batch   1757, Loss  0.870981, Average Loss  0.865741, Time  0.362247
2021-09-09 06:42:47.124911 : Epoch  4, Batch   1758, Loss  0.851834, Average Loss  0.865489, Time  0.359693
2021-09-09 06:42:48.884094 : Epoch  4, Batch   1759, Loss  0.889506, Average Loss  0.865703, Time  0.350382
2021-09-09 06:42:50.756910 : Epoch  4, Batch   1760, Loss  0.849672, Average Loss  0.865664, Time  0.378817
2021-09-09 06:42:52.604203 : Epoch  4, Batch   1761, Loss  0.872905, Average Loss  0.865794, Time  0.356962
2021-09-09 06:42:54.525347 : Epoch  4, Batch   1762, Loss  0.863971, Average Loss  0.865915, Time  0.342505
2021-09-09 06:42:56.511052 : Epoch  4, Batch   1763, Loss  0.894974, Average Loss  0.866044, Time  0.474164
2021-09-09 06:42:58.302931 : Epoch  4, Batch   1764, Loss  0.846123, Average Loss  0.866028, Time  0.356946
2021-09-09 06:43:00.174058 : Epoch  4, Batch   1765, Loss  0.888051, Average Loss  0.866118, Time  0.447559
2021-09-09 06:43:02.024261 : Epoch  4, Batch   1766, Loss  0.832542, Average Loss  0.865899, Time  0.430617
2021-09-09 06:43:03.806858 : Epoch  4, Batch   1767, Loss  0.881130, Average Loss  0.865852, Time  0.363951
2021-09-09 06:47:58.361787 : CheckPoint: Validation Loss  0.00061113, Best Loss  0.00056427
2021-09-09 06:48:00.140875 : Epoch  4, Batch   1768, Loss  0.870838, Average Loss  0.865833, Time  0.351039
2021-09-09 06:48:01.982102 : Epoch  4, Batch   1769, Loss  0.886896, Average Loss  0.866058, Time  0.412293
2021-09-09 06:48:03.756282 : Epoch  4, Batch   1770, Loss  0.873802, Average Loss  0.866094, Time  0.346585
2021-09-09 06:48:05.624862 : Epoch  4, Batch   1771, Loss  0.862322, Average Loss  0.865937, Time  0.393414
2021-09-09 06:48:07.561236 : Epoch  4, Batch   1772, Loss  0.856824, Average Loss  0.865886, Time  0.477734
2021-09-09 06:48:09.399184 : Epoch  4, Batch   1773, Loss  0.867414, Average Loss  0.865894, Time  0.367636
2021-09-09 06:48:11.271788 : Epoch  4, Batch   1774, Loss  0.851294, Average Loss  0.865860, Time  0.391521
2021-09-09 06:48:13.165234 : Epoch  4, Batch   1775, Loss  0.881358, Average Loss  0.865937, Time  0.382365
2021-09-09 06:48:15.023257 : Epoch  4, Batch   1776, Loss  0.865425, Average Loss  0.865778, Time  0.393084
2021-09-09 06:48:16.960814 : Epoch  4, Batch   1777, Loss  0.878410, Average Loss  0.865831, Time  0.466862
2021-09-09 06:48:18.832415 : Epoch  4, Batch   1778, Loss  0.871542, Average Loss  0.865910, Time  0.392488
2021-09-09 06:48:20.698863 : Epoch  4, Batch   1779, Loss  0.898286, Average Loss  0.866093, Time  0.385206
2021-09-09 06:48:22.599960 : Epoch  4, Batch   1780, Loss  0.866585, Average Loss  0.866123, Time  0.412655
2021-09-09 06:48:24.450792 : Epoch  4, Batch   1781, Loss  0.870632, Average Loss  0.866062, Time  0.379061
2021-09-09 06:48:26.466789 : Epoch  4, Batch   1782, Loss  0.884169, Average Loss  0.866259, Time  0.428900
2021-09-09 06:48:28.288162 : Epoch  4, Batch   1783, Loss  0.882710, Average Loss  0.866221, Time  0.343956
2021-09-09 06:48:30.089381 : Epoch  4, Batch   1784, Loss  0.879740, Average Loss  0.866437, Time  0.373569
2021-09-09 06:48:31.976795 : Epoch  4, Batch   1785, Loss  0.866797, Average Loss  0.866472, Time  0.387176
2021-09-09 06:48:33.762865 : Epoch  4, Batch   1786, Loss  0.891978, Average Loss  0.866674, Time  0.351863
2021-09-09 06:48:35.699338 : Epoch  4, Batch   1787, Loss  0.867325, Average Loss  0.866550, Time  0.403020
2021-09-09 06:48:37.574910 : Epoch  4, Batch   1788, Loss  0.865386, Average Loss  0.866561, Time  0.389398
2021-09-09 06:48:39.365200 : Epoch  4, Batch   1789, Loss  0.893145, Average Loss  0.866765, Time  0.360471
2021-09-09 06:48:41.170958 : Epoch  4, Batch   1790, Loss  0.835559, Average Loss  0.866645, Time  0.366145
2021-09-09 06:48:43.027632 : Epoch  4, Batch   1791, Loss  0.884946, Average Loss  0.866876, Time  0.406564
2021-09-09 06:48:44.823779 : Epoch  4, Batch   1792, Loss  0.876658, Average Loss  0.867018, Time  0.356587
2021-09-09 06:48:46.614128 : Epoch  4, Batch   1793, Loss  0.866420, Average Loss  0.866980, Time  0.344741
2021-09-09 06:48:48.522891 : Epoch  4, Batch   1794, Loss  0.881259, Average Loss  0.867075, Time  0.442358
2021-09-09 06:48:50.315319 : Epoch  4, Batch   1795, Loss  0.867071, Average Loss  0.867224, Time  0.355300
2021-09-09 06:48:52.114777 : Epoch  4, Batch   1796, Loss  0.868680, Average Loss  0.867298, Time  0.362138
2021-09-09 06:48:53.902785 : Epoch  4, Batch   1797, Loss  0.865000, Average Loss  0.867173, Time  0.345430
2021-09-09 06:48:55.693365 : Epoch  4, Batch   1798, Loss  0.895259, Average Loss  0.867194, Time  0.350378
2021-09-09 06:48:57.620841 : Epoch  4, Batch   1799, Loss  0.845691, Average Loss  0.867018, Time  0.373465
2021-09-09 06:48:59.547321 : Epoch  4, Batch   1800, Loss  0.871100, Average Loss  0.866926, Time  0.403264
2021-09-09 06:49:01.431287 : Epoch  4, Batch   1801, Loss  0.866732, Average Loss  0.866967, Time  0.430859
2021-09-09 06:49:03.286279 : Epoch  4, Batch   1802, Loss  0.888649, Average Loss  0.867155, Time  0.381455
2021-09-09 06:49:05.055874 : Epoch  4, Batch   1803, Loss  0.879840, Average Loss  0.867378, Time  0.345476
2021-09-09 06:49:06.824778 : Epoch  4, Batch   1804, Loss  0.879228, Average Loss  0.867329, Time  0.346650
2021-09-09 06:49:08.606960 : Epoch  4, Batch   1805, Loss  0.842382, Average Loss  0.867205, Time  0.355505
2021-09-09 06:49:10.655844 : Epoch  4, Batch   1806, Loss  0.884977, Average Loss  0.867162, Time  0.466770
2021-09-09 06:49:12.518478 : Epoch  4, Batch   1807, Loss  0.860923, Average Loss  0.867182, Time  0.392982
2021-09-09 06:49:14.442803 : Epoch  4, Batch   1808, Loss  0.845614, Average Loss  0.867165, Time  0.435951
2021-09-09 06:49:16.372182 : Epoch  4, Batch   1809, Loss  0.865940, Average Loss  0.867255, Time  0.425946
2021-09-09 06:49:18.142388 : Epoch  4, Batch   1810, Loss  0.836648, Average Loss  0.867166, Time  0.340976
2021-09-09 06:49:20.020321 : Epoch  4, Batch   1811, Loss  0.875770, Average Loss  0.867286, Time  0.428891
2021-09-09 06:49:21.930204 : Epoch  4, Batch   1812, Loss  0.895119, Average Loss  0.867248, Time  0.421880
2021-09-09 06:49:23.767525 : Epoch  4, Batch   1813, Loss  0.879037, Average Loss  0.867349, Time  0.396242
2021-09-09 06:49:25.580831 : Epoch  4, Batch   1814, Loss  0.873761, Average Loss  0.867269, Time  0.354084
2021-09-09 06:49:27.476876 : Epoch  4, Batch   1815, Loss  0.837776, Average Loss  0.867047, Time  0.364894
2021-09-09 06:49:29.275835 : Epoch  4, Batch   1816, Loss  0.849872, Average Loss  0.867205, Time  0.355542
2021-09-09 06:49:31.129986 : Epoch  4, Batch   1817, Loss  0.886825, Average Loss  0.867300, Time  0.439600
2021-09-09 06:49:32.964782 : Epoch  4, Batch   1818, Loss  0.871466, Average Loss  0.867260, Time  0.397436
2021-09-09 06:49:34.786180 : Epoch  4, Batch   1819, Loss  0.868097, Average Loss  0.867221, Time  0.384012
2021-09-09 06:49:36.640879 : Epoch  4, Batch   1820, Loss  0.880048, Average Loss  0.867304, Time  0.420091
2021-09-09 06:49:38.422304 : Epoch  4, Batch   1821, Loss  0.899164, Average Loss  0.867373, Time  0.359156
2021-09-09 06:49:40.186170 : Epoch  4, Batch   1822, Loss  0.874114, Average Loss  0.867439, Time  0.352504
2021-09-09 06:49:41.997891 : Epoch  4, Batch   1823, Loss  0.870083, Average Loss  0.867435, Time  0.332224
2021-09-09 06:49:43.863931 : Epoch  4, Batch   1824, Loss  0.868114, Average Loss  0.867554, Time  0.410060
2021-09-09 06:49:45.768876 : Epoch  4, Batch   1825, Loss  0.850244, Average Loss  0.867482, Time  0.445490
2021-09-09 06:49:47.678811 : Epoch  4, Batch   1826, Loss  0.878063, Average Loss  0.867674, Time  0.440074
2021-09-09 06:49:49.571880 : Epoch  4, Batch   1827, Loss  0.881268, Average Loss  0.867653, Time  0.396012
2021-09-09 06:49:51.508885 : Epoch  4, Batch   1828, Loss  0.870810, Average Loss  0.867558, Time  0.444463
2021-09-09 06:49:53.305128 : Epoch  4, Batch   1829, Loss  0.852068, Average Loss  0.867549, Time  0.356843
2021-09-09 06:49:55.202049 : Epoch  4, Batch   1830, Loss  0.865652, Average Loss  0.867596, Time  0.387107
2021-09-09 06:49:57.119820 : Epoch  4, Batch   1831, Loss  0.877212, Average Loss  0.867756, Time  0.425671
2021-09-09 06:49:58.980062 : Epoch  4, Batch   1832, Loss  0.859049, Average Loss  0.867771, Time  0.388859
2021-09-09 06:50:00.909976 : Epoch  4, Batch   1833, Loss  0.867736, Average Loss  0.867916, Time  0.443578
2021-09-09 06:50:02.749930 : Epoch  4, Batch   1834, Loss  0.902947, Average Loss  0.868166, Time  0.389559
2021-09-09 06:50:04.623780 : Epoch  4, Batch   1835, Loss  0.867629, Average Loss  0.868029, Time  0.398019
2021-09-09 06:50:06.526987 : Epoch  4, Batch   1836, Loss  0.852974, Average Loss  0.867871, Time  0.426581
2021-09-09 06:50:08.385955 : Epoch  4, Batch   1837, Loss  0.850841, Average Loss  0.867677, Time  0.384195
2021-09-09 06:50:10.253787 : Epoch  4, Batch   1838, Loss  0.883451, Average Loss  0.867748, Time  0.392861
2021-09-09 06:50:12.158093 : Epoch  4, Batch   1839, Loss  0.872402, Average Loss  0.867941, Time  0.423570
2021-09-09 06:50:14.036796 : Epoch  4, Batch   1840, Loss  0.865290, Average Loss  0.868007, Time  0.376660
2021-09-09 06:50:15.983829 : Epoch  4, Batch   1841, Loss  0.859585, Average Loss  0.867924, Time  0.424199
2021-09-09 06:50:17.777836 : Epoch  4, Batch   1842, Loss  0.839201, Average Loss  0.867704, Time  0.344060
2021-09-09 06:50:19.656137 : Epoch  4, Batch   1843, Loss  0.899421, Average Loss  0.867823, Time  0.384733
2021-09-09 06:50:21.414961 : Epoch  4, Batch   1844, Loss  0.853187, Average Loss  0.867678, Time  0.330819
2021-09-09 06:50:23.317789 : Epoch  4, Batch   1845, Loss  0.853472, Average Loss  0.867630, Time  0.399138
2021-09-09 06:50:25.237915 : Epoch  4, Batch   1846, Loss  0.872090, Average Loss  0.867629, Time  0.438110
2021-09-09 06:50:27.128831 : Epoch  4, Batch   1847, Loss  0.875010, Average Loss  0.867765, Time  0.401207
2021-09-09 06:50:28.979708 : Epoch  4, Batch   1848, Loss  0.862634, Average Loss  0.867828, Time  0.397219
2021-09-09 06:50:30.888801 : Epoch  4, Batch   1849, Loss  0.888032, Average Loss  0.867762, Time  0.450918
2021-09-09 06:50:32.778189 : Epoch  4, Batch   1850, Loss  0.846571, Average Loss  0.867694, Time  0.389575
2021-09-09 06:50:34.663248 : Epoch  4, Batch   1851, Loss  0.842386, Average Loss  0.867574, Time  0.407391
2021-09-09 06:50:36.591304 : Epoch  4, Batch   1852, Loss  0.858269, Average Loss  0.867531, Time  0.441229
2021-09-09 06:50:38.461995 : Epoch  4, Batch   1853, Loss  0.855852, Average Loss  0.867331, Time  0.394616
2021-09-09 06:50:40.389454 : Epoch  4, Batch   1854, Loss  0.862626, Average Loss  0.867363, Time  0.428920
2021-09-09 06:50:42.275912 : Epoch  4, Batch   1855, Loss  0.895366, Average Loss  0.867462, Time  0.395190
2021-09-09 06:50:44.105300 : Epoch  4, Batch   1856, Loss  0.863465, Average Loss  0.867432, Time  0.371199
2021-09-09 06:50:46.049928 : Epoch  4, Batch   1857, Loss  0.890870, Average Loss  0.867631, Time  0.462504
2021-09-09 06:50:47.903046 : Epoch  4, Batch   1858, Loss  0.889183, Average Loss  0.867745, Time  0.391416
2021-09-09 06:50:49.773034 : Epoch  4, Batch   1859, Loss  0.860075, Average Loss  0.867534, Time  0.383574
2021-09-09 06:50:51.723884 : Epoch  4, Batch   1860, Loss  0.875257, Average Loss  0.867645, Time  0.468795
2021-09-09 06:50:53.594850 : Epoch  4, Batch   1861, Loss  0.860900, Average Loss  0.867828, Time  0.395744
2021-09-09 06:50:55.402840 : Epoch  4, Batch   1862, Loss  0.837247, Average Loss  0.867771, Time  0.350486
2021-09-09 06:50:57.198789 : Epoch  4, Batch   1863, Loss  0.878932, Average Loss  0.867867, Time  0.363342
2021-09-09 06:50:59.049096 : Epoch  4, Batch   1864, Loss  0.885330, Average Loss  0.867989, Time  0.402300
2021-09-09 06:51:01.135968 : Epoch  4, Batch   1865, Loss  0.855869, Average Loss  0.867916, Time  0.426013
2021-09-09 06:51:02.996043 : Epoch  4, Batch   1866, Loss  0.879408, Average Loss  0.868045, Time  0.385145
2021-09-09 06:51:11.643795 : Epoch  4, Batch   1867, Loss  0.853044, Average Loss  0.868048, Time  0.404335
2021-09-09 06:56:07.401729 : CheckPoint: Validation Loss  0.00064950, Best Loss  0.00056427
2021-09-09 06:56:09.213928 : Epoch  4, Batch   1868, Loss  0.871379, Average Loss  0.867907, Time  0.367280
2021-09-09 06:56:11.030995 : Epoch  4, Batch   1869, Loss  0.863190, Average Loss  0.867883, Time  0.387728
2021-09-09 06:56:12.889792 : Epoch  4, Batch   1870, Loss  0.856944, Average Loss  0.867776, Time  0.392190
2021-09-09 06:56:14.737792 : Epoch  4, Batch   1871, Loss  0.846396, Average Loss  0.867699, Time  0.381501
2021-09-09 06:56:16.674936 : Epoch  4, Batch   1872, Loss  0.833011, Average Loss  0.867476, Time  0.476930
2021-09-09 06:56:18.540235 : Epoch  4, Batch   1873, Loss  0.861872, Average Loss  0.867573, Time  0.381239
2021-09-09 06:56:20.417959 : Epoch  4, Batch   1874, Loss  0.868960, Average Loss  0.867657, Time  0.416234
2021-09-09 06:56:22.350051 : Epoch  4, Batch   1875, Loss  0.899814, Average Loss  0.867897, Time  0.453044
2021-09-09 06:56:24.306780 : Epoch  4, Batch   1876, Loss  0.880475, Average Loss  0.868074, Time  0.390427
2021-09-09 06:56:26.267543 : Epoch  4, Batch   1877, Loss  0.864839, Average Loss  0.868137, Time  0.499068
2021-09-09 06:56:28.109812 : Epoch  4, Batch   1878, Loss  0.850028, Average Loss  0.867973, Time  0.382039
2021-09-09 06:56:29.993784 : Epoch  4, Batch   1879, Loss  0.885462, Average Loss  0.868263, Time  0.374498
2021-09-09 06:56:31.939793 : Epoch  4, Batch   1880, Loss  0.884722, Average Loss  0.868456, Time  0.442972
2021-09-09 06:56:33.786800 : Epoch  4, Batch   1881, Loss  0.908744, Average Loss  0.868648, Time  0.380581
2021-09-09 06:56:35.643519 : Epoch  4, Batch   1882, Loss  0.862336, Average Loss  0.868638, Time  0.383329
2021-09-09 06:56:37.540571 : Epoch  4, Batch   1883, Loss  0.879611, Average Loss  0.868668, Time  0.421846
2021-09-09 06:56:39.386572 : Epoch  4, Batch   1884, Loss  0.879821, Average Loss  0.868781, Time  0.397252
2021-09-09 06:56:41.286875 : Epoch  4, Batch   1885, Loss  0.848578, Average Loss  0.868712, Time  0.445704
2021-09-09 06:56:43.085018 : Epoch  4, Batch   1886, Loss  0.895500, Average Loss  0.868859, Time  0.361784
2021-09-09 06:56:44.876902 : Epoch  4, Batch   1887, Loss  0.871551, Average Loss  0.868909, Time  0.360425
2021-09-09 06:56:46.650011 : Epoch  4, Batch   1888, Loss  0.862771, Average Loss  0.868911, Time  0.350416
2021-09-09 06:56:48.539688 : Epoch  4, Batch   1889, Loss  0.855731, Average Loss  0.868813, Time  0.394124
2021-09-09 06:56:50.413019 : Epoch  4, Batch   1890, Loss  0.878330, Average Loss  0.868928, Time  0.427775
2021-09-09 06:56:52.242092 : Epoch  4, Batch   1891, Loss  0.846402, Average Loss  0.868908, Time  0.365249
2021-09-09 06:56:54.111788 : Epoch  4, Batch   1892, Loss  0.894750, Average Loss  0.868978, Time  0.402990
2021-09-09 06:56:55.962892 : Epoch  4, Batch   1893, Loss  0.867469, Average Loss  0.868847, Time  0.380452
2021-09-09 06:56:57.864984 : Epoch  4, Batch   1894, Loss  0.877356, Average Loss  0.868809, Time  0.393217
2021-09-09 06:56:59.747830 : Epoch  4, Batch   1895, Loss  0.887796, Average Loss  0.868871, Time  0.436563
2021-09-09 06:57:01.526998 : Epoch  4, Batch   1896, Loss  0.878744, Average Loss  0.868862, Time  0.353358
2021-09-09 06:57:03.415800 : Epoch  4, Batch   1897, Loss  0.893350, Average Loss  0.869133, Time  0.381825
2021-09-09 06:57:05.296788 : Epoch  4, Batch   1898, Loss  0.841961, Average Loss  0.868832, Time  0.417391
2021-09-09 06:57:07.147045 : Epoch  4, Batch   1899, Loss  0.884184, Average Loss  0.869009, Time  0.392228
2021-09-09 06:57:09.031812 : Epoch  4, Batch   1900, Loss  0.886214, Average Loss  0.868994, Time  0.423793
2021-09-09 06:57:10.976963 : Epoch  4, Batch   1901, Loss  0.869690, Average Loss  0.869023, Time  0.478168
2021-09-09 06:57:12.755836 : Epoch  4, Batch   1902, Loss  0.850287, Average Loss  0.868955, Time  0.346036
2021-09-09 06:57:14.576857 : Epoch  4, Batch   1903, Loss  0.891432, Average Loss  0.869076, Time  0.395501
2021-09-09 06:57:16.354790 : Epoch  4, Batch   1904, Loss  0.842401, Average Loss  0.868993, Time  0.345478
2021-09-09 06:57:18.119797 : Epoch  4, Batch   1905, Loss  0.878524, Average Loss  0.869261, Time  0.343985
2021-09-09 06:57:19.901789 : Epoch  4, Batch   1906, Loss  0.890719, Average Loss  0.869537, Time  0.350675
2021-09-09 06:57:21.677341 : Epoch  4, Batch   1907, Loss  0.884191, Average Loss  0.869497, Time  0.347188
2021-09-09 06:57:23.498858 : Epoch  4, Batch   1908, Loss  0.829361, Average Loss  0.869291, Time  0.385805
2021-09-09 06:57:25.280978 : Epoch  4, Batch   1909, Loss  0.874244, Average Loss  0.869517, Time  0.348574
2021-09-09 06:57:27.120815 : Epoch  4, Batch   1910, Loss  0.869736, Average Loss  0.869499, Time  0.408463
2021-09-09 06:57:28.905176 : Epoch  4, Batch   1911, Loss  0.876394, Average Loss  0.869593, Time  0.357156
2021-09-09 06:57:30.722792 : Epoch  4, Batch   1912, Loss  0.868299, Average Loss  0.869541, Time  0.393739
2021-09-09 06:57:32.577786 : Epoch  4, Batch   1913, Loss  0.885233, Average Loss  0.869677, Time  0.360911
2021-09-09 06:57:34.389777 : Epoch  4, Batch   1914, Loss  0.883556, Average Loss  0.869704, Time  0.351738
2021-09-09 06:57:36.156839 : Epoch  4, Batch   1915, Loss  0.848247, Average Loss  0.869546, Time  0.331149
2021-09-09 06:57:37.919820 : Epoch  4, Batch   1916, Loss  0.879780, Average Loss  0.869569, Time  0.348414
2021-09-09 06:57:39.746791 : Epoch  4, Batch   1917, Loss  0.885110, Average Loss  0.869632, Time  0.388797
2021-09-09 06:57:41.535774 : Epoch  4, Batch   1918, Loss  0.856872, Average Loss  0.869470, Time  0.346185
2021-09-09 06:57:43.381776 : Epoch  4, Batch   1919, Loss  0.875388, Average Loss  0.869545, Time  0.405130
2021-09-09 06:57:45.280788 : Epoch  4, Batch   1920, Loss  0.890774, Average Loss  0.869549, Time  0.401288
2021-09-09 06:57:47.150330 : Epoch  4, Batch   1921, Loss  0.866833, Average Loss  0.869498, Time  0.390048
2021-09-09 06:57:49.100799 : Epoch  4, Batch   1922, Loss  0.856750, Average Loss  0.869436, Time  0.486248
2021-09-09 06:57:50.972787 : Epoch  4, Batch   1923, Loss  0.820977, Average Loss  0.869221, Time  0.400478
2021-09-09 06:57:52.839761 : Epoch  4, Batch   1924, Loss  0.860597, Average Loss  0.869299, Time  0.390182
2021-09-09 06:57:54.671932 : Epoch  4, Batch   1925, Loss  0.878634, Average Loss  0.869293, Time  0.378562
2021-09-09 06:57:56.541841 : Epoch  4, Batch   1926, Loss  0.853207, Average Loss  0.869192, Time  0.407277
2021-09-09 06:57:58.458790 : Epoch  4, Batch   1927, Loss  0.871899, Average Loss  0.869130, Time  0.423491
2021-09-09 06:58:00.358156 : Epoch  4, Batch   1928, Loss  0.833711, Average Loss  0.868944, Time  0.399344
2021-09-09 06:58:02.229993 : Epoch  4, Batch   1929, Loss  0.893262, Average Loss  0.869155, Time  0.391046
2021-09-09 06:58:04.163656 : Epoch  4, Batch   1930, Loss  0.867319, Average Loss  0.869039, Time  0.466637
2021-09-09 06:58:06.032178 : Epoch  4, Batch   1931, Loss  0.888703, Average Loss  0.869227, Time  0.394232
2021-09-09 06:58:07.943106 : Epoch  4, Batch   1932, Loss  0.861623, Average Loss  0.869115, Time  0.427589
2021-09-09 06:58:09.800004 : Epoch  4, Batch   1933, Loss  0.846552, Average Loss  0.869073, Time  0.388008
2021-09-09 06:58:11.667784 : Epoch  4, Batch   1934, Loss  0.872172, Average Loss  0.869109, Time  0.392395
2021-09-09 06:58:13.622194 : Epoch  4, Batch   1935, Loss  0.879305, Average Loss  0.869392, Time  0.485083
2021-09-09 06:58:15.485790 : Epoch  4, Batch   1936, Loss  0.842526, Average Loss  0.869341, Time  0.392316
2021-09-09 06:58:17.379250 : Epoch  4, Batch   1937, Loss  0.861133, Average Loss  0.869411, Time  0.398593
2021-09-09 06:58:19.343999 : Epoch  4, Batch   1938, Loss  0.886272, Average Loss  0.869306, Time  0.489399
2021-09-09 06:58:21.210058 : Epoch  4, Batch   1939, Loss  0.883693, Average Loss  0.869422, Time  0.389158
2021-09-09 06:58:23.078972 : Epoch  4, Batch   1940, Loss  0.879720, Average Loss  0.869408, Time  0.382791
2021-09-09 06:58:25.016193 : Epoch  4, Batch   1941, Loss  0.864457, Average Loss  0.869327, Time  0.457934
2021-09-09 06:58:26.819791 : Epoch  4, Batch   1942, Loss  0.882282, Average Loss  0.869316, Time  0.353984
2021-09-09 06:58:28.697429 : Epoch  4, Batch   1943, Loss  0.858757, Average Loss  0.869273, Time  0.395631
2021-09-09 06:58:30.574327 : Epoch  4, Batch   1944, Loss  0.873221, Average Loss  0.869426, Time  0.414775
2021-09-09 06:58:32.427068 : Epoch  4, Batch   1945, Loss  0.888982, Average Loss  0.869514, Time  0.377958
2021-09-09 06:58:34.296347 : Epoch  4, Batch   1946, Loss  0.879486, Average Loss  0.869550, Time  0.393877
2021-09-09 06:58:36.068800 : Epoch  4, Batch   1947, Loss  0.866936, Average Loss  0.869446, Time  0.346935
2021-09-09 06:58:37.848252 : Epoch  4, Batch   1948, Loss  0.847373, Average Loss  0.869439, Time  0.345420
2021-09-09 06:58:39.651494 : Epoch  4, Batch   1949, Loss  0.851535, Average Loss  0.869433, Time  0.353291
2021-09-09 06:58:41.471861 : Epoch  4, Batch   1950, Loss  0.866122, Average Loss  0.869366, Time  0.339651
2021-09-09 06:58:43.298253 : Epoch  4, Batch   1951, Loss  0.889455, Average Loss  0.869672, Time  0.399065
2021-09-09 06:58:45.247893 : Epoch  4, Batch   1952, Loss  0.836316, Average Loss  0.869577, Time  0.422649
2021-09-09 06:58:47.070337 : Epoch  4, Batch   1953, Loss  0.876124, Average Loss  0.869570, Time  0.358100
2021-09-09 06:58:48.960357 : Epoch  4, Batch   1954, Loss  0.888573, Average Loss  0.869497, Time  0.413918
2021-09-09 06:58:50.772291 : Epoch  4, Batch   1955, Loss  0.835493, Average Loss  0.869470, Time  0.361294
2021-09-09 06:58:52.682066 : Epoch  4, Batch   1956, Loss  0.873843, Average Loss  0.869428, Time  0.436618
2021-09-09 06:58:54.517448 : Epoch  4, Batch   1957, Loss  0.854912, Average Loss  0.869348, Time  0.363204
2021-09-09 06:58:56.311799 : Epoch  4, Batch   1958, Loss  0.888605, Average Loss  0.869532, Time  0.359103
2021-09-09 06:58:58.123798 : Epoch  4, Batch   1959, Loss  0.878154, Average Loss  0.869475, Time  0.375666
2021-09-09 06:58:59.917235 : Epoch  4, Batch   1960, Loss  0.859954, Average Loss  0.869527, Time  0.355206
2021-09-09 06:59:01.802802 : Epoch  4, Batch   1961, Loss  0.837775, Average Loss  0.869351, Time  0.456212
2021-09-09 06:59:03.644293 : Epoch  4, Batch   1962, Loss  0.854220, Average Loss  0.869302, Time  0.349743
2021-09-09 06:59:05.491186 : Epoch  4, Batch   1963, Loss  0.906439, Average Loss  0.869359, Time  0.364949
2021-09-09 06:59:07.350256 : Epoch  4, Batch   1964, Loss  0.880398, Average Loss  0.869531, Time  0.422854
2021-09-09 06:59:09.112777 : Epoch  4, Batch   1965, Loss  0.902207, Average Loss  0.869602, Time  0.346636
2021-09-09 06:59:10.959544 : Epoch  4, Batch   1966, Loss  0.876059, Average Loss  0.869819, Time  0.396534
2021-09-09 06:59:12.762435 : Epoch  4, Batch   1967, Loss  0.906057, Average Loss  0.869944, Time  0.342022
2021-09-09 07:04:06.253726 : CheckPoint: Validation Loss  0.00060156, Best Loss  0.00056427
2021-09-09 07:04:08.073780 : Epoch  4, Batch   1968, Loss  0.864769, Average Loss  0.869914, Time  0.369099
2021-09-09 07:04:09.854775 : Epoch  4, Batch   1969, Loss  0.880595, Average Loss  0.869882, Time  0.354652
2021-09-09 07:04:11.625784 : Epoch  4, Batch   1970, Loss  0.869026, Average Loss  0.869858, Time  0.355276
2021-09-09 07:04:13.421395 : Epoch  4, Batch   1971, Loss  0.888964, Average Loss  0.869991, Time  0.355747
2021-09-09 07:04:15.246635 : Epoch  4, Batch   1972, Loss  0.861277, Average Loss  0.870014, Time  0.349126
2021-09-09 07:04:17.240802 : Epoch  4, Batch   1973, Loss  0.869946, Average Loss  0.870026, Time  0.474821
2021-09-09 07:04:19.119890 : Epoch  4, Batch   1974, Loss  0.853528, Average Loss  0.870037, Time  0.399863
2021-09-09 07:04:20.931799 : Epoch  4, Batch   1975, Loss  0.867792, Average Loss  0.869970, Time  0.374451
2021-09-09 07:04:22.897785 : Epoch  4, Batch   1976, Loss  0.850451, Average Loss  0.869895, Time  0.440280
2021-09-09 07:04:24.775793 : Epoch  4, Batch   1977, Loss  0.887844, Average Loss  0.869942, Time  0.399159
2021-09-09 07:04:26.686088 : Epoch  4, Batch   1978, Loss  0.861161, Average Loss  0.869890, Time  0.434204
2021-09-09 07:04:28.478223 : Epoch  4, Batch   1979, Loss  0.870409, Average Loss  0.869751, Time  0.346308
2021-09-09 07:04:30.270961 : Epoch  4, Batch   1980, Loss  0.858298, Average Loss  0.869709, Time  0.334889
2021-09-09 07:04:32.063794 : Epoch  4, Batch   1981, Loss  0.874752, Average Loss  0.869730, Time  0.339424
2021-09-09 07:04:33.956792 : Epoch  4, Batch   1982, Loss  0.856927, Average Loss  0.869594, Time  0.415315
2021-09-09 07:04:35.911841 : Epoch  4, Batch   1983, Loss  0.861728, Average Loss  0.869489, Time  0.471156
2021-09-09 07:04:37.825796 : Epoch  4, Batch   1984, Loss  0.861735, Average Loss  0.869399, Time  0.396554
2021-09-09 07:04:39.676779 : Epoch  4, Batch   1985, Loss  0.883188, Average Loss  0.869481, Time  0.396471
2021-09-09 07:04:41.588130 : Epoch  4, Batch   1986, Loss  0.865499, Average Loss  0.869348, Time  0.403431
2021-09-09 07:04:43.592846 : Epoch  4, Batch   1987, Loss  0.864875, Average Loss  0.869336, Time  0.416808
2021-09-09 07:04:45.562798 : Epoch  4, Batch   1988, Loss  0.876730, Average Loss  0.869393, Time  0.494466
2021-09-09 07:04:47.425790 : Epoch  4, Batch   1989, Loss  0.905931, Average Loss  0.869457, Time  0.378126
2021-09-09 07:04:49.274780 : Epoch  4, Batch   1990, Loss  0.828478, Average Loss  0.869421, Time  0.384207
2021-09-09 07:04:51.152154 : Epoch  4, Batch   1991, Loss  0.877549, Average Loss  0.869384, Time  0.402714
2021-09-09 07:04:53.018826 : Epoch  4, Batch   1992, Loss  0.887986, Average Loss  0.869441, Time  0.393072
2021-09-09 07:04:54.891812 : Epoch  4, Batch   1993, Loss  0.851974, Average Loss  0.869369, Time  0.390679
2021-09-09 07:04:56.746726 : Epoch  4, Batch   1994, Loss  0.868027, Average Loss  0.869302, Time  0.392283
2021-09-09 07:04:58.607619 : Epoch  4, Batch   1995, Loss  0.866463, Average Loss  0.869299, Time  0.385495
2021-09-09 07:05:00.480934 : Epoch  4, Batch   1996, Loss  0.853819, Average Loss  0.869225, Time  0.346852
2021-09-09 07:05:02.381254 : Epoch  4, Batch   1997, Loss  0.829605, Average Loss  0.869048, Time  0.387616
2021-09-09 07:05:04.169060 : Epoch  4, Batch   1998, Loss  0.886964, Average Loss  0.869007, Time  0.352023
2021-09-09 07:05:05.944002 : Epoch  4, Batch   1999, Loss  0.829960, Average Loss  0.868928, Time  0.344645
2021-09-09 07:05:07.741310 : Epoch  4, Batch   2000, Loss  0.891282, Average Loss  0.869029, Time  0.353588
2021-09-09 07:05:09.530237 : Epoch  4, Batch   2001, Loss  0.884272, Average Loss  0.869117, Time  0.372996
2021-09-09 07:05:11.308991 : Epoch  4, Batch   2002, Loss  0.852464, Average Loss  0.868936, Time  0.347738
2021-09-09 07:05:13.151778 : Epoch  4, Batch   2003, Loss  0.856229, Average Loss  0.868818, Time  0.323225
2021-09-09 07:05:15.061078 : Epoch  4, Batch   2004, Loss  0.878282, Average Loss  0.868813, Time  0.449501
2021-09-09 07:05:16.905499 : Epoch  4, Batch   2005, Loss  0.874104, Average Loss  0.868972, Time  0.370355
2021-09-09 07:05:18.687774 : Epoch  4, Batch   2006, Loss  0.840599, Average Loss  0.868750, Time  0.348886
2021-09-09 07:05:20.511514 : Epoch  4, Batch   2007, Loss  0.878701, Average Loss  0.868839, Time  0.397160
2021-09-09 07:05:22.272782 : Epoch  4, Batch   2008, Loss  0.863195, Average Loss  0.868926, Time  0.338111
2021-09-09 07:05:24.054644 : Epoch  4, Batch   2009, Loss  0.881982, Average Loss  0.869007, Time  0.355792
2021-09-09 07:05:26.008278 : Epoch  4, Batch   2010, Loss  0.877928, Average Loss  0.869213, Time  0.465004
2021-09-09 07:05:27.942231 : Epoch  4, Batch   2011, Loss  0.888191, Average Loss  0.869275, Time  0.403178
2021-09-09 07:05:29.892101 : Epoch  4, Batch   2012, Loss  0.870827, Average Loss  0.869154, Time  0.431600
2021-09-09 07:05:31.722794 : Epoch  4, Batch   2013, Loss  0.853049, Average Loss  0.869024, Time  0.380878
2021-09-09 07:05:33.524807 : Epoch  4, Batch   2014, Loss  0.880197, Average Loss  0.869056, Time  0.344348
2021-09-09 07:05:35.310070 : Epoch  4, Batch   2015, Loss  0.849840, Average Loss  0.869116, Time  0.361023
2021-09-09 07:05:37.087104 : Epoch  4, Batch   2016, Loss  0.876870, Average Loss  0.869251, Time  0.348700
2021-09-09 07:05:38.857839 : Epoch  4, Batch   2017, Loss  0.857631, Average Loss  0.869105, Time  0.329666
2021-09-09 07:05:40.667194 : Epoch  4, Batch   2018, Loss  0.864489, Average Loss  0.869070, Time  0.358579
2021-09-09 07:05:42.442777 : Epoch  4, Batch   2019, Loss  0.918950, Average Loss  0.869325, Time  0.327178
2021-09-09 07:05:44.334960 : Epoch  4, Batch   2020, Loss  0.867850, Average Loss  0.869264, Time  0.465039
2021-09-09 07:05:46.139191 : Epoch  4, Batch   2021, Loss  0.865256, Average Loss  0.869094, Time  0.352250
2021-09-09 07:05:48.118270 : Epoch  4, Batch   2022, Loss  0.876364, Average Loss  0.869105, Time  0.395592
2021-09-09 07:05:49.982214 : Epoch  4, Batch   2023, Loss  0.884060, Average Loss  0.869175, Time  0.388714
2021-09-09 07:05:51.893304 : Epoch  4, Batch   2024, Loss  0.867498, Average Loss  0.869172, Time  0.390732
2021-09-09 07:05:53.802795 : Epoch  4, Batch   2025, Loss  0.879470, Average Loss  0.869318, Time  0.412493
2021-09-09 07:05:55.679796 : Epoch  4, Batch   2026, Loss  0.889628, Average Loss  0.869376, Time  0.386497
2021-09-09 07:05:57.462655 : Epoch  4, Batch   2027, Loss  0.868509, Average Loss  0.869312, Time  0.344043
2021-09-09 07:05:59.235784 : Epoch  4, Batch   2028, Loss  0.847251, Average Loss  0.869195, Time  0.347550
2021-09-09 07:06:01.088852 : Epoch  4, Batch   2029, Loss  0.849829, Average Loss  0.869183, Time  0.382077
2021-09-09 07:06:02.881169 : Epoch  4, Batch   2030, Loss  0.856471, Average Loss  0.869137, Time  0.346553
2021-09-09 07:06:04.736956 : Epoch  4, Batch   2031, Loss  0.872738, Average Loss  0.869115, Time  0.402416
2021-09-09 07:06:06.627849 : Epoch  4, Batch   2032, Loss  0.859576, Average Loss  0.869118, Time  0.407807
2021-09-09 07:06:08.516187 : Epoch  4, Batch   2033, Loss  0.900738, Average Loss  0.869283, Time  0.359356
2021-09-09 07:06:10.335786 : Epoch  4, Batch   2034, Loss  0.851383, Average Loss  0.869025, Time  0.393678
2021-09-09 07:06:12.167033 : Epoch  4, Batch   2035, Loss  0.880059, Average Loss  0.869087, Time  0.372157
2021-09-09 07:06:14.013327 : Epoch  4, Batch   2036, Loss  0.887835, Average Loss  0.869261, Time  0.397669
2021-09-09 07:06:15.817274 : Epoch  4, Batch   2037, Loss  0.828424, Average Loss  0.869149, Time  0.350964
2021-09-09 07:06:17.669795 : Epoch  4, Batch   2038, Loss  0.859092, Average Loss  0.869027, Time  0.386182
2021-09-09 07:06:19.561796 : Epoch  4, Batch   2039, Loss  0.854626, Average Loss  0.868939, Time  0.433343
2021-09-09 07:06:21.325769 : Epoch  4, Batch   2040, Loss  0.879957, Average Loss  0.869012, Time  0.336702
2021-09-09 07:06:23.180036 : Epoch  4, Batch   2041, Loss  0.892469, Average Loss  0.869176, Time  0.359418
2021-09-09 07:06:25.128735 : Epoch  4, Batch   2042, Loss  0.843903, Average Loss  0.869200, Time  0.390993
2021-09-09 07:06:26.993165 : Epoch  4, Batch   2043, Loss  0.845697, Average Loss  0.868931, Time  0.355694
2021-09-09 07:06:28.887563 : Epoch  4, Batch   2044, Loss  0.854515, Average Loss  0.868938, Time  0.443260
2021-09-09 07:06:30.666101 : Epoch  4, Batch   2045, Loss  0.836469, Average Loss  0.868853, Time  0.341551
2021-09-09 07:06:32.462289 : Epoch  4, Batch   2046, Loss  0.882914, Average Loss  0.868907, Time  0.355676
2021-09-09 07:06:34.240221 : Epoch  4, Batch   2047, Loss  0.858486, Average Loss  0.868824, Time  0.352703
2021-09-09 07:06:36.034072 : Epoch  4, Batch   2048, Loss  0.889033, Average Loss  0.868956, Time  0.356844
2021-09-09 07:06:37.918451 : Epoch  4, Batch   2049, Loss  0.892572, Average Loss  0.868979, Time  0.443193
2021-09-09 07:06:39.719410 : Epoch  4, Batch   2050, Loss  0.873704, Average Loss  0.869115, Time  0.377549
2021-09-09 07:06:41.637787 : Epoch  4, Batch   2051, Loss  0.868436, Average Loss  0.869245, Time  0.382330
2021-09-09 07:06:43.532806 : Epoch  4, Batch   2052, Loss  0.861182, Average Loss  0.869260, Time  0.416620
2021-09-09 07:06:45.418496 : Epoch  4, Batch   2053, Loss  0.874492, Average Loss  0.869353, Time  0.393890
2021-09-09 07:06:47.350826 : Epoch  4, Batch   2054, Loss  0.881281, Average Loss  0.869446, Time  0.453122
2021-09-09 07:06:49.339781 : Epoch  4, Batch   2055, Loss  0.859268, Average Loss  0.869265, Time  0.466125
2021-09-09 07:06:51.207073 : Epoch  4, Batch   2056, Loss  0.852054, Average Loss  0.869208, Time  0.390890
2021-09-09 07:06:53.031800 : Epoch  4, Batch   2057, Loss  0.873387, Average Loss  0.869121, Time  0.359364
2021-09-09 07:06:54.958276 : Epoch  4, Batch   2058, Loss  0.850130, Average Loss  0.868926, Time  0.441382
2021-09-09 07:06:56.816833 : Epoch  4, Batch   2059, Loss  0.888854, Average Loss  0.869070, Time  0.382089
2021-09-09 07:06:58.747267 : Epoch  4, Batch   2060, Loss  0.872046, Average Loss  0.869054, Time  0.454109
2021-09-09 07:07:00.639207 : Epoch  4, Batch   2061, Loss  0.855609, Average Loss  0.869027, Time  0.395932
2021-09-09 07:07:02.517569 : Epoch  4, Batch   2062, Loss  0.867954, Average Loss  0.869181, Time  0.381036
2021-09-09 07:07:04.383795 : Epoch  4, Batch   2063, Loss  0.878619, Average Loss  0.869179, Time  0.383127
2021-09-09 07:07:06.238705 : Epoch  4, Batch   2064, Loss  0.864385, Average Loss  0.869074, Time  0.392932
2021-09-09 07:07:08.154805 : Epoch  4, Batch   2065, Loss  0.869028, Average Loss  0.869140, Time  0.428380
2021-09-09 07:07:10.089874 : Epoch  4, Batch   2066, Loss  0.884686, Average Loss  0.869167, Time  0.420288
2021-09-09 07:07:11.928275 : Epoch  4, Batch   2067, Loss  0.839489, Average Loss  0.869099, Time  0.359538
2021-09-09 07:12:07.378728 : CheckPoint: Validation Loss  0.00061707, Best Loss  0.00056427
2021-09-09 07:12:09.162656 : Epoch  4, Batch   2068, Loss  0.889462, Average Loss  0.869189, Time  0.355481
2021-09-09 07:12:11.030025 : Epoch  4, Batch   2069, Loss  0.846601, Average Loss  0.869106, Time  0.379483
2021-09-09 07:12:12.915813 : Epoch  4, Batch   2070, Loss  0.884314, Average Loss  0.869243, Time  0.408503
2021-09-09 07:12:14.718905 : Epoch  4, Batch   2071, Loss  0.870788, Average Loss  0.869365, Time  0.343002
2021-09-09 07:12:16.581219 : Epoch  4, Batch   2072, Loss  0.841236, Average Loss  0.869406, Time  0.418460
2021-09-09 07:12:18.574248 : Epoch  4, Batch   2073, Loss  0.877178, Average Loss  0.869483, Time  0.389673
2021-09-09 07:12:20.443852 : Epoch  4, Batch   2074, Loss  0.855097, Average Loss  0.869413, Time  0.397391
2021-09-09 07:12:22.346253 : Epoch  4, Batch   2075, Loss  0.901644, Average Loss  0.869423, Time  0.431000
2021-09-09 07:12:24.225211 : Epoch  4, Batch   2076, Loss  0.849092, Average Loss  0.869266, Time  0.397060
2021-09-09 07:12:26.143500 : Epoch  4, Batch   2077, Loss  0.866617, Average Loss  0.869275, Time  0.421045
2021-09-09 07:12:28.128500 : Epoch  4, Batch   2078, Loss  0.873439, Average Loss  0.869392, Time  0.476133
2021-09-09 07:12:29.993905 : Epoch  4, Batch   2079, Loss  0.880874, Average Loss  0.869369, Time  0.385833
2021-09-09 07:12:31.884346 : Epoch  4, Batch   2080, Loss  0.870155, Average Loss  0.869296, Time  0.398503
2021-09-09 07:12:33.722174 : Epoch  4, Batch   2081, Loss  0.844319, Average Loss  0.868974, Time  0.384822
2021-09-09 07:12:35.517041 : Epoch  4, Batch   2082, Loss  0.861111, Average Loss  0.868968, Time  0.355404
2021-09-09 07:12:37.391793 : Epoch  4, Batch   2083, Loss  0.880864, Average Loss  0.868974, Time  0.438187
2021-09-09 07:12:39.182157 : Epoch  4, Batch   2084, Loss  0.883346, Average Loss  0.868991, Time  0.350128
2021-09-09 07:12:41.038777 : Epoch  4, Batch   2085, Loss  0.864018, Average Loss  0.869069, Time  0.383624
2021-09-09 07:12:42.861995 : Epoch  4, Batch   2086, Loss  0.886552, Average Loss  0.869024, Time  0.357601
2021-09-09 07:12:44.703968 : Epoch  4, Batch   2087, Loss  0.880592, Average Loss  0.869069, Time  0.390146
2021-09-09 07:12:46.588062 : Epoch  4, Batch   2088, Loss  0.865461, Average Loss  0.869083, Time  0.391257
2021-09-09 07:12:48.385779 : Epoch  4, Batch   2089, Loss  0.865334, Average Loss  0.869131, Time  0.336590
2021-09-09 07:12:50.263073 : Epoch  4, Batch   2090, Loss  0.840352, Average Loss  0.868941, Time  0.429245
2021-09-09 07:12:52.060373 : Epoch  4, Batch   2091, Loss  0.852254, Average Loss  0.868970, Time  0.355396
2021-09-09 07:12:53.940281 : Epoch  4, Batch   2092, Loss  0.888583, Average Loss  0.868939, Time  0.400936
2021-09-09 07:12:55.845599 : Epoch  4, Batch   2093, Loss  0.874248, Average Loss  0.868973, Time  0.403564
2021-09-09 07:12:57.768165 : Epoch  4, Batch   2094, Loss  0.860501, Average Loss  0.868889, Time  0.402713
2021-09-09 07:12:59.683954 : Epoch  4, Batch   2095, Loss  0.853923, Average Loss  0.868719, Time  0.446187
2021-09-09 07:13:01.468223 : Epoch  4, Batch   2096, Loss  0.869761, Average Loss  0.868674, Time  0.342283
2021-09-09 07:13:03.369835 : Epoch  4, Batch   2097, Loss  0.877581, Average Loss  0.868596, Time  0.390875
2021-09-09 07:13:05.149258 : Epoch  4, Batch   2098, Loss  0.886001, Average Loss  0.868816, Time  0.342222
2021-09-09 07:13:06.977778 : Epoch  4, Batch   2099, Loss  0.879554, Average Loss  0.868793, Time  0.380238
2021-09-09 07:13:08.848302 : Epoch  4, Batch   2100, Loss  0.865000, Average Loss  0.868687, Time  0.405492
2021-09-09 07:13:10.641954 : Epoch  4, Batch   2101, Loss  0.880282, Average Loss  0.868740, Time  0.373761
2021-09-09 07:13:12.483835 : Epoch  4, Batch   2102, Loss  0.871875, Average Loss  0.868848, Time  0.376363
2021-09-09 07:13:14.373011 : Epoch  4, Batch   2103, Loss  0.868172, Average Loss  0.868731, Time  0.396322
2021-09-09 07:13:16.247995 : Epoch  4, Batch   2104, Loss  0.856519, Average Loss  0.868802, Time  0.383254
2021-09-09 07:13:18.173001 : Epoch  4, Batch   2105, Loss  0.904444, Average Loss  0.868931, Time  0.439668
2021-09-09 07:13:20.063427 : Epoch  4, Batch   2106, Loss  0.846117, Average Loss  0.868708, Time  0.395524
2021-09-09 07:13:21.924769 : Epoch  4, Batch   2107, Loss  0.859006, Average Loss  0.868582, Time  0.392044
2021-09-09 07:13:23.740865 : Epoch  4, Batch   2108, Loss  0.859438, Average Loss  0.868733, Time  0.374776
2021-09-09 07:13:25.630991 : Epoch  4, Batch   2109, Loss  0.854904, Average Loss  0.868636, Time  0.357440
2021-09-09 07:13:27.548287 : Epoch  4, Batch   2110, Loss  0.895694, Average Loss  0.868766, Time  0.400293
2021-09-09 07:13:29.443313 : Epoch  4, Batch   2111, Loss  0.879273, Average Loss  0.868780, Time  0.438015
2021-09-09 07:13:31.306061 : Epoch  4, Batch   2112, Loss  0.865172, Average Loss  0.868765, Time  0.397943
2021-09-09 07:13:33.080790 : Epoch  4, Batch   2113, Loss  0.867432, Average Loss  0.868676, Time  0.330602
2021-09-09 07:13:34.933783 : Epoch  4, Batch   2114, Loss  0.873152, Average Loss  0.868624, Time  0.396606
2021-09-09 07:13:36.807274 : Epoch  4, Batch   2115, Loss  0.867025, Average Loss  0.868718, Time  0.392018
2021-09-09 07:13:38.757484 : Epoch  4, Batch   2116, Loss  0.871924, Average Loss  0.868678, Time  0.461237
2021-09-09 07:13:40.647789 : Epoch  4, Batch   2117, Loss  0.870132, Average Loss  0.868603, Time  0.389874
2021-09-09 07:13:42.527073 : Epoch  4, Batch   2118, Loss  0.854584, Average Loss  0.868592, Time  0.378148
2021-09-09 07:13:44.425793 : Epoch  4, Batch   2119, Loss  0.884137, Average Loss  0.868636, Time  0.431644
2021-09-09 07:13:46.285779 : Epoch  4, Batch   2120, Loss  0.885862, Average Loss  0.868611, Time  0.394352
2021-09-09 07:13:48.196859 : Epoch  4, Batch   2121, Loss  0.860522, Average Loss  0.868580, Time  0.420180
2021-09-09 07:13:50.088219 : Epoch  4, Batch   2122, Loss  0.866589, Average Loss  0.868629, Time  0.393156
2021-09-09 07:13:51.948421 : Epoch  4, Batch   2123, Loss  0.896180, Average Loss  0.869005, Time  0.391137
2021-09-09 07:13:53.874788 : Epoch  4, Batch   2124, Loss  0.890588, Average Loss  0.869155, Time  0.444481
2021-09-09 07:13:55.714785 : Epoch  4, Batch   2125, Loss  0.873479, Average Loss  0.869129, Time  0.373158
2021-09-09 07:13:57.578119 : Epoch  4, Batch   2126, Loss  0.876505, Average Loss  0.869245, Time  0.400857
2021-09-09 07:13:59.417607 : Epoch  4, Batch   2127, Loss  0.902762, Average Loss  0.869400, Time  0.378289
2021-09-09 07:14:01.228055 : Epoch  4, Batch   2128, Loss  0.909268, Average Loss  0.869778, Time  0.388296
2021-09-09 07:14:03.149831 : Epoch  4, Batch   2129, Loss  0.883083, Average Loss  0.869727, Time  0.412406
2021-09-09 07:14:04.973420 : Epoch  4, Batch   2130, Loss  0.809393, Average Loss  0.869437, Time  0.355026
2021-09-09 07:14:06.794777 : Epoch  4, Batch   2131, Loss  0.885480, Average Loss  0.869421, Time  0.379519
2021-09-09 07:14:08.582981 : Epoch  4, Batch   2132, Loss  0.864859, Average Loss  0.869437, Time  0.370926
2021-09-09 07:14:10.480923 : Epoch  4, Batch   2133, Loss  0.861771, Average Loss  0.869513, Time  0.387943
2021-09-09 07:14:12.374969 : Epoch  4, Batch   2134, Loss  0.870133, Average Loss  0.869503, Time  0.426059
2021-09-09 07:14:14.232953 : Epoch  4, Batch   2135, Loss  0.826004, Average Loss  0.869236, Time  0.397455
2021-09-09 07:14:16.098721 : Epoch  4, Batch   2136, Loss  0.875599, Average Loss  0.869402, Time  0.434742
2021-09-09 07:14:17.929217 : Epoch  4, Batch   2137, Loss  0.876492, Average Loss  0.869479, Time  0.330844
2021-09-09 07:14:19.695951 : Epoch  4, Batch   2138, Loss  0.853650, Average Loss  0.869316, Time  0.351697
2021-09-09 07:14:21.516839 : Epoch  4, Batch   2139, Loss  0.872096, Average Loss  0.869258, Time  0.392756
2021-09-09 07:14:23.318881 : Epoch  4, Batch   2140, Loss  0.871058, Average Loss  0.869214, Time  0.350422
2021-09-09 07:14:25.093729 : Epoch  4, Batch   2141, Loss  0.889205, Average Loss  0.869338, Time  0.347665
2021-09-09 07:14:26.871929 : Epoch  4, Batch   2142, Loss  0.870730, Average Loss  0.869280, Time  0.347575
2021-09-09 07:14:28.669009 : Epoch  4, Batch   2143, Loss  0.850591, Average Loss  0.869239, Time  0.351907
2021-09-09 07:14:30.505255 : Epoch  4, Batch   2144, Loss  0.880101, Average Loss  0.869274, Time  0.418763
2021-09-09 07:14:32.282776 : Epoch  4, Batch   2145, Loss  0.895899, Average Loss  0.869308, Time  0.340047
2021-09-09 07:14:34.062148 : Epoch  4, Batch   2146, Loss  0.856718, Average Loss  0.869195, Time  0.352597
2021-09-09 07:14:35.961426 : Epoch  4, Batch   2147, Loss  0.839659, Average Loss  0.869058, Time  0.448936
2021-09-09 07:14:37.732804 : Epoch  4, Batch   2148, Loss  0.855523, Average Loss  0.869099, Time  0.338637
2021-09-09 07:14:39.522009 : Epoch  4, Batch   2149, Loss  0.856005, Average Loss  0.869121, Time  0.344662
2021-09-09 07:14:41.423792 : Epoch  4, Batch   2150, Loss  0.897163, Average Loss  0.869276, Time  0.426261
2021-09-09 07:14:43.306123 : Epoch  4, Batch   2151, Loss  0.833821, Average Loss  0.868998, Time  0.398442
2021-09-09 07:14:45.212841 : Epoch  4, Batch   2152, Loss  0.835694, Average Loss  0.868995, Time  0.419248
2021-09-09 07:14:47.083849 : Epoch  4, Batch   2153, Loss  0.874163, Average Loss  0.868985, Time  0.394194
2021-09-09 07:14:48.983073 : Epoch  4, Batch   2154, Loss  0.899336, Average Loss  0.869039, Time  0.425112
2021-09-09 07:14:50.843998 : Epoch  4, Batch   2155, Loss  0.863953, Average Loss  0.869181, Time  0.376523
2021-09-09 07:14:52.704083 : Epoch  4, Batch   2156, Loss  0.882491, Average Loss  0.869225, Time  0.378919
2021-09-09 07:14:54.660287 : Epoch  4, Batch   2157, Loss  0.864110, Average Loss  0.869271, Time  0.450732
2021-09-09 07:14:56.528139 : Epoch  4, Batch   2158, Loss  0.869288, Average Loss  0.869174, Time  0.401998
2021-09-09 07:14:58.452251 : Epoch  4, Batch   2159, Loss  0.883473, Average Loss  0.869201, Time  0.416263
2021-09-09 07:15:00.347905 : Epoch  4, Batch   2160, Loss  0.883564, Average Loss  0.869319, Time  0.434826
2021-09-09 07:15:02.218194 : Epoch  4, Batch   2161, Loss  0.857625, Average Loss  0.869418, Time  0.391473
2021-09-09 07:15:04.061865 : Epoch  4, Batch   2162, Loss  0.858237, Average Loss  0.869438, Time  0.422610
2021-09-09 07:15:05.954783 : Epoch  4, Batch   2163, Loss  0.869891, Average Loss  0.869255, Time  0.391839
2021-09-09 07:15:07.901791 : Epoch  4, Batch   2164, Loss  0.891391, Average Loss  0.869310, Time  0.404160
2021-09-09 07:15:09.742829 : Epoch  4, Batch   2165, Loss  0.868539, Average Loss  0.869142, Time  0.374949
2021-09-09 07:15:11.645270 : Epoch  4, Batch   2166, Loss  0.859080, Average Loss  0.869057, Time  0.400027
2021-09-09 07:15:13.623807 : Epoch  4, Batch   2167, Loss  0.885253, Average Loss  0.868953, Time  0.487921
2021-09-09 07:20:08.697729 : CheckPoint: Validation Loss  0.00059621, Best Loss  0.00056427
2021-09-09 07:20:10.508174 : Epoch  4, Batch   2168, Loss  0.879521, Average Loss  0.869027, Time  0.365305
2021-09-09 07:20:12.374883 : Epoch  4, Batch   2169, Loss  0.851697, Average Loss  0.868882, Time  0.431441
2021-09-09 07:20:14.246779 : Epoch  4, Batch   2170, Loss  0.834320, Average Loss  0.868709, Time  0.397811
2021-09-09 07:20:16.032788 : Epoch  4, Batch   2171, Loss  0.881302, Average Loss  0.868671, Time  0.358572
2021-09-09 07:20:17.887991 : Epoch  4, Batch   2172, Loss  0.870778, Average Loss  0.868718, Time  0.418959
2021-09-09 07:20:19.760206 : Epoch  4, Batch   2173, Loss  0.873680, Average Loss  0.868737, Time  0.384599
2021-09-09 07:20:21.587904 : Epoch  4, Batch   2174, Loss  0.876774, Average Loss  0.868853, Time  0.372068
2021-09-09 07:20:23.418928 : Epoch  4, Batch   2175, Loss  0.875394, Average Loss  0.868891, Time  0.363586
2021-09-09 07:20:25.214858 : Epoch  4, Batch   2176, Loss  0.887241, Average Loss  0.869075, Time  0.358322
2021-09-09 07:20:27.071828 : Epoch  4, Batch   2177, Loss  0.884790, Average Loss  0.869060, Time  0.423691
2021-09-09 07:20:28.865775 : Epoch  4, Batch   2178, Loss  0.861703, Average Loss  0.869062, Time  0.342103
2021-09-09 07:20:30.776881 : Epoch  4, Batch   2179, Loss  0.900187, Average Loss  0.869211, Time  0.449044
2021-09-09 07:20:32.723776 : Epoch  4, Batch   2180, Loss  0.892099, Average Loss  0.869380, Time  0.460122
2021-09-09 07:20:34.579787 : Epoch  4, Batch   2181, Loss  0.878820, Average Loss  0.869401, Time  0.367718
2021-09-09 07:20:36.361806 : Epoch  4, Batch   2182, Loss  0.888296, Average Loss  0.869557, Time  0.347127
2021-09-09 07:20:38.183778 : Epoch  4, Batch   2183, Loss  0.862320, Average Loss  0.869560, Time  0.365424
2021-09-09 07:20:39.995840 : Epoch  4, Batch   2184, Loss  0.872572, Average Loss  0.869615, Time  0.364316
2021-09-09 07:20:41.840801 : Epoch  4, Batch   2185, Loss  0.861097, Average Loss  0.869504, Time  0.406452
2021-09-09 07:20:43.778872 : Epoch  4, Batch   2186, Loss  0.835798, Average Loss  0.869356, Time  0.406726
2021-09-09 07:20:45.642887 : Epoch  4, Batch   2187, Loss  0.863927, Average Loss  0.869351, Time  0.405335
2021-09-09 07:20:47.552778 : Epoch  4, Batch   2188, Loss  0.850022, Average Loss  0.869217, Time  0.435519
2021-09-09 07:20:49.323828 : Epoch  4, Batch   2189, Loss  0.878497, Average Loss  0.869080, Time  0.345047
2021-09-09 07:20:51.148786 : Epoch  4, Batch   2190, Loss  0.822362, Average Loss  0.869050, Time  0.395135
2021-09-09 07:20:52.944777 : Epoch  4, Batch   2191, Loss  0.855615, Average Loss  0.868940, Time  0.349384
2021-09-09 07:20:54.713851 : Epoch  4, Batch   2192, Loss  0.839375, Average Loss  0.868697, Time  0.325273
2021-09-09 07:20:56.536968 : Epoch  4, Batch   2193, Loss  0.877246, Average Loss  0.868823, Time  0.375177
2021-09-09 07:20:58.337976 : Epoch  4, Batch   2194, Loss  0.852204, Average Loss  0.868744, Time  0.352872
2021-09-09 07:21:00.128123 : Epoch  4, Batch   2195, Loss  0.874682, Average Loss  0.868785, Time  0.353441
2021-09-09 07:21:02.007912 : Epoch  4, Batch   2196, Loss  0.891584, Average Loss  0.868974, Time  0.365042
2021-09-09 07:21:03.891951 : Epoch  4, Batch   2197, Loss  0.840945, Average Loss  0.869031, Time  0.361756
2021-09-09 07:21:05.779232 : Epoch  4, Batch   2198, Loss  0.885443, Average Loss  0.869023, Time  0.445684
2021-09-09 07:21:07.752798 : Epoch  4, Batch   2199, Loss  0.881192, Average Loss  0.869279, Time  0.421603
2021-09-09 07:21:09.627785 : Epoch  4, Batch   2200, Loss  0.882632, Average Loss  0.869236, Time  0.398882
2021-09-09 07:21:11.547840 : Epoch  4, Batch   2201, Loss  0.880741, Average Loss  0.869218, Time  0.440347
2021-09-09 07:21:13.403216 : Epoch  4, Batch   2202, Loss  0.863911, Average Loss  0.869276, Time  0.382668
2021-09-09 07:21:15.256155 : Epoch  4, Batch   2203, Loss  0.849979, Average Loss  0.869244, Time  0.385276
2021-09-09 07:21:17.212757 : Epoch  4, Batch   2204, Loss  0.886654, Average Loss  0.869286, Time  0.469087
2021-09-09 07:21:19.078834 : Epoch  4, Batch   2205, Loss  0.875451, Average Loss  0.869293, Time  0.398144
2021-09-09 07:21:20.937021 : Epoch  4, Batch   2206, Loss  0.876191, Average Loss  0.869471, Time  0.393116
2021-09-09 07:21:22.801319 : Epoch  4, Batch   2207, Loss  0.879131, Average Loss  0.869473, Time  0.405529
2021-09-09 07:21:24.591210 : Epoch  4, Batch   2208, Loss  0.851127, Average Loss  0.869413, Time  0.352876
2021-09-09 07:21:26.488786 : Epoch  4, Batch   2209, Loss  0.874883, Average Loss  0.869377, Time  0.454791
2021-09-09 07:21:28.316188 : Epoch  4, Batch   2210, Loss  0.872296, Average Loss  0.869349, Time  0.354576
2021-09-09 07:21:30.138199 : Epoch  4, Batch   2211, Loss  0.873164, Average Loss  0.869274, Time  0.384201
2021-09-09 07:21:32.013864 : Epoch  4, Batch   2212, Loss  0.874986, Average Loss  0.869295, Time  0.422565
2021-09-09 07:21:33.819775 : Epoch  4, Batch   2213, Loss  0.892268, Average Loss  0.869491, Time  0.362891
2021-09-09 07:21:35.584787 : Epoch  4, Batch   2214, Loss  0.893106, Average Loss  0.869555, Time  0.345398
2021-09-09 07:21:37.530146 : Epoch  4, Batch   2215, Loss  0.889194, Average Loss  0.869752, Time  0.475725
2021-09-09 07:21:39.438781 : Epoch  4, Batch   2216, Loss  0.852166, Average Loss  0.869629, Time  0.402219
2021-09-09 07:21:41.357092 : Epoch  4, Batch   2217, Loss  0.845916, Average Loss  0.869570, Time  0.415006
2021-09-09 07:21:43.306551 : Epoch  4, Batch   2218, Loss  0.853125, Average Loss  0.869513, Time  0.458412
2021-09-09 07:21:45.099527 : Epoch  4, Batch   2219, Loss  0.849350, Average Loss  0.869165, Time  0.379430
2021-09-09 07:21:46.977785 : Epoch  4, Batch   2220, Loss  0.891270, Average Loss  0.869282, Time  0.454841
2021-09-09 07:21:48.798971 : Epoch  4, Batch   2221, Loss  0.879278, Average Loss  0.869352, Time  0.366292
2021-09-09 07:21:50.679356 : Epoch  4, Batch   2222, Loss  0.851582, Average Loss  0.869228, Time  0.395854
2021-09-09 07:21:52.619836 : Epoch  4, Batch   2223, Loss  0.878915, Average Loss  0.869203, Time  0.463773
2021-09-09 07:21:54.502798 : Epoch  4, Batch   2224, Loss  0.874282, Average Loss  0.869237, Time  0.397447
2021-09-09 07:21:56.374798 : Epoch  4, Batch   2225, Loss  0.874335, Average Loss  0.869211, Time  0.400670
2021-09-09 07:21:58.254182 : Epoch  4, Batch   2226, Loss  0.870320, Average Loss  0.869114, Time  0.397527
2021-09-09 07:22:00.158781 : Epoch  4, Batch   2227, Loss  0.849007, Average Loss  0.869017, Time  0.404233
2021-09-09 07:22:02.106659 : Epoch  4, Batch   2228, Loss  0.876168, Average Loss  0.869162, Time  0.474684
2021-09-09 07:22:03.970806 : Epoch  4, Batch   2229, Loss  0.852019, Average Loss  0.869173, Time  0.367007
2021-09-09 07:22:05.912813 : Epoch  4, Batch   2230, Loss  0.862669, Average Loss  0.869203, Time  0.420568
2021-09-09 07:22:07.727848 : Epoch  4, Batch   2231, Loss  0.868067, Average Loss  0.869180, Time  0.353250
2021-09-09 07:22:09.604996 : Epoch  4, Batch   2232, Loss  0.848690, Average Loss  0.869126, Time  0.400705
2021-09-09 07:22:11.471488 : Epoch  4, Batch   2233, Loss  0.887204, Average Loss  0.869058, Time  0.384565
2021-09-09 07:22:13.226564 : Epoch  4, Batch   2234, Loss  0.881487, Average Loss  0.869209, Time  0.337080
2021-09-09 07:22:15.023001 : Epoch  4, Batch   2235, Loss  0.869150, Average Loss  0.869154, Time  0.341020
2021-09-09 07:22:16.925588 : Epoch  4, Batch   2236, Loss  0.879795, Average Loss  0.869114, Time  0.428756
2021-09-09 07:22:18.677955 : Epoch  4, Batch   2237, Loss  0.855319, Average Loss  0.869248, Time  0.322338
2021-09-09 07:22:20.647437 : Epoch  4, Batch   2238, Loss  0.861437, Average Loss  0.869260, Time  0.431411
2021-09-09 07:22:22.493789 : Epoch  4, Batch   2239, Loss  0.885535, Average Loss  0.869415, Time  0.383618
2021-09-09 07:22:24.400950 : Epoch  4, Batch   2240, Loss  0.878632, Average Loss  0.869408, Time  0.394039
2021-09-09 07:22:26.312092 : Epoch  4, Batch   2241, Loss  0.876784, Average Loss  0.869330, Time  0.429776
2021-09-09 07:22:28.328817 : Epoch  4, Batch   2242, Loss  0.851609, Average Loss  0.869368, Time  0.533599
2021-09-09 07:22:30.130007 : Epoch  4, Batch   2243, Loss  0.872949, Average Loss  0.869504, Time  0.351915
2021-09-09 07:22:32.033958 : Epoch  4, Batch   2244, Loss  0.860928, Average Loss  0.869536, Time  0.421592
2021-09-09 07:22:33.873834 : Epoch  4, Batch   2245, Loss  0.865912, Average Loss  0.869684, Time  0.353651
2021-09-09 07:22:35.655829 : Epoch  4, Batch   2246, Loss  0.860141, Average Loss  0.869570, Time  0.371938
2021-09-09 07:22:37.413782 : Epoch  4, Batch   2247, Loss  0.841853, Average Loss  0.869487, Time  0.347214
2021-09-09 07:22:39.196791 : Epoch  4, Batch   2248, Loss  0.864248, Average Loss  0.869363, Time  0.345521
2021-09-09 07:22:41.053783 : Epoch  4, Batch   2249, Loss  0.873453, Average Loss  0.869267, Time  0.420535
2021-09-09 07:22:42.819783 : Epoch  4, Batch   2250, Loss  0.900150, Average Loss  0.869399, Time  0.347746
2021-09-09 07:22:44.656724 : Epoch  4, Batch   2251, Loss  0.847324, Average Loss  0.869294, Time  0.397106
2021-09-09 07:22:46.516150 : Epoch  4, Batch   2252, Loss  0.832809, Average Loss  0.869152, Time  0.418602
2021-09-09 07:22:48.338798 : Epoch  4, Batch   2253, Loss  0.888821, Average Loss  0.869223, Time  0.354978
2021-09-09 07:22:50.178207 : Epoch  4, Batch   2254, Loss  0.854656, Average Loss  0.869090, Time  0.380442
2021-09-09 07:22:52.056651 : Epoch  4, Batch   2255, Loss  0.856385, Average Loss  0.869076, Time  0.414691
2021-09-09 07:22:53.925838 : Epoch  4, Batch   2256, Loss  0.876777, Average Loss  0.869200, Time  0.399528
2021-09-09 07:22:55.826792 : Epoch  4, Batch   2257, Loss  0.859472, Average Loss  0.869130, Time  0.440503
2021-09-09 07:22:57.724794 : Epoch  4, Batch   2258, Loss  0.891782, Average Loss  0.869338, Time  0.421199
2021-09-09 07:22:59.577061 : Epoch  4, Batch   2259, Loss  0.856629, Average Loss  0.869177, Time  0.373122
2021-09-09 07:23:01.367777 : Epoch  4, Batch   2260, Loss  0.885928, Average Loss  0.869247, Time  0.355034
2021-09-09 07:23:03.252836 : Epoch  4, Batch   2261, Loss  0.885383, Average Loss  0.869395, Time  0.408066
2021-09-09 07:23:05.098257 : Epoch  4, Batch   2262, Loss  0.890391, Average Loss  0.869508, Time  0.359007
2021-09-09 07:23:06.963779 : Epoch  4, Batch   2263, Loss  0.829656, Average Loss  0.869263, Time  0.368703
2021-09-09 07:23:08.797238 : Epoch  4, Batch   2264, Loss  0.857591, Average Loss  0.869229, Time  0.405174
2021-09-09 07:23:10.582930 : Epoch  4, Batch   2265, Loss  0.867855, Average Loss  0.869223, Time  0.361938
2021-09-09 07:23:12.360029 : Epoch  4, Batch   2266, Loss  0.880002, Average Loss  0.869200, Time  0.355820
2021-09-09 07:23:14.180166 : Epoch  4, Batch   2267, Loss  0.875277, Average Loss  0.869378, Time  0.389727
2021-09-09 07:28:07.794714 : CheckPoint: Validation Loss  0.00061671, Best Loss  0.00056427
2021-09-09 07:28:09.622190 : Epoch  4, Batch   2268, Loss  0.856941, Average Loss  0.869216, Time  0.410199
2021-09-09 07:28:11.485954 : Epoch  4, Batch   2269, Loss  0.868032, Average Loss  0.869323, Time  0.389665
2021-09-09 07:28:13.375778 : Epoch  4, Batch   2270, Loss  0.880347, Average Loss  0.869303, Time  0.415476
2021-09-09 07:28:15.144856 : Epoch  4, Batch   2271, Loss  0.837546, Average Loss  0.869137, Time  0.337428
2021-09-09 07:28:16.976962 : Epoch  4, Batch   2272, Loss  0.903479, Average Loss  0.869448, Time  0.356063
2021-09-09 07:28:18.832204 : Epoch  4, Batch   2273, Loss  0.884988, Average Loss  0.869487, Time  0.410307
2021-09-09 07:28:20.698779 : Epoch  4, Batch   2274, Loss  0.865623, Average Loss  0.869540, Time  0.399921
2021-09-09 07:28:22.518843 : Epoch  4, Batch   2275, Loss  0.847904, Average Loss  0.869271, Time  0.356083
2021-09-09 07:28:24.290820 : Epoch  4, Batch   2276, Loss  0.856320, Average Loss  0.869307, Time  0.353892
2021-09-09 07:28:26.048099 : Epoch  4, Batch   2277, Loss  0.865157, Average Loss  0.869300, Time  0.328346
2021-09-09 07:28:27.832965 : Epoch  4, Batch   2278, Loss  0.873736, Average Loss  0.869301, Time  0.348427
2021-09-09 07:28:29.609981 : Epoch  4, Batch   2279, Loss  0.875872, Average Loss  0.869276, Time  0.351760
2021-09-09 07:28:31.626035 : Epoch  4, Batch   2280, Loss  0.856358, Average Loss  0.869207, Time  0.458238
2021-09-09 07:28:33.537976 : Epoch  4, Batch   2281, Loss  0.871304, Average Loss  0.869342, Time  0.382772
2021-09-09 07:28:35.401000 : Epoch  4, Batch   2282, Loss  0.894646, Average Loss  0.869510, Time  0.397572
2021-09-09 07:28:37.245896 : Epoch  4, Batch   2283, Loss  0.896876, Average Loss  0.869590, Time  0.388007
2021-09-09 07:28:39.063445 : Epoch  4, Batch   2284, Loss  0.894814, Average Loss  0.869647, Time  0.369370
2021-09-09 07:28:40.874969 : Epoch  4, Batch   2285, Loss  0.888923, Average Loss  0.869772, Time  0.353388
2021-09-09 07:28:42.808081 : Epoch  4, Batch   2286, Loss  0.875229, Average Loss  0.869715, Time  0.420234
2021-09-09 07:28:44.678393 : Epoch  4, Batch   2287, Loss  0.878190, Average Loss  0.869703, Time  0.389304
2021-09-09 07:28:46.566843 : Epoch  4, Batch   2288, Loss  0.884537, Average Loss  0.869799, Time  0.412957
2021-09-09 07:28:48.419793 : Epoch  4, Batch   2289, Loss  0.891998, Average Loss  0.869932, Time  0.369572
2021-09-09 07:28:50.233222 : Epoch  4, Batch   2290, Loss  0.861529, Average Loss  0.870038, Time  0.355748
2021-09-09 07:28:52.086206 : Epoch  4, Batch   2291, Loss  0.852329, Average Loss  0.870038, Time  0.389943
2021-09-09 07:28:53.881995 : Epoch  4, Batch   2292, Loss  0.885083, Average Loss  0.870021, Time  0.338299
2021-09-09 07:28:55.746376 : Epoch  4, Batch   2293, Loss  0.853582, Average Loss  0.869917, Time  0.423357
2021-09-09 07:28:57.624830 : Epoch  4, Batch   2294, Loss  0.864061, Average Loss  0.869935, Time  0.422442
2021-09-09 07:28:59.435871 : Epoch  4, Batch   2295, Loss  0.865608, Average Loss  0.869994, Time  0.346060
2021-09-09 07:29:01.257572 : Epoch  4, Batch   2296, Loss  0.860674, Average Loss  0.869948, Time  0.393836
2021-09-09 07:29:03.072177 : Epoch  4, Batch   2297, Loss  0.848202, Average Loss  0.869801, Time  0.356533
2021-09-09 07:29:04.912782 : Epoch  4, Batch   2298, Loss  0.889976, Average Loss  0.869821, Time  0.374637
2021-09-09 07:29:06.698803 : Epoch  4, Batch   2299, Loss  0.885568, Average Loss  0.869851, Time  0.353754
2021-09-09 07:29:08.587866 : Epoch  4, Batch   2300, Loss  0.859814, Average Loss  0.869825, Time  0.393568
2021-09-09 07:29:10.520029 : Epoch  4, Batch   2301, Loss  0.897703, Average Loss  0.869913, Time  0.451686
2021-09-09 07:29:12.324113 : Epoch  4, Batch   2302, Loss  0.846646, Average Loss  0.869786, Time  0.352728
2021-09-09 07:29:14.140789 : Epoch  4, Batch   2303, Loss  0.895222, Average Loss  0.869922, Time  0.380790
2021-09-09 07:29:15.978574 : Epoch  4, Batch   2304, Loss  0.872926, Average Loss  0.870004, Time  0.346147
2021-09-09 07:29:17.832915 : Epoch  4, Batch   2305, Loss  0.850864, Average Loss  0.869736, Time  0.350183
2021-09-09 07:29:19.631181 : Epoch  4, Batch   2306, Loss  0.830292, Average Loss  0.869657, Time  0.344884
2021-09-09 07:29:21.447801 : Epoch  4, Batch   2307, Loss  0.850219, Average Loss  0.869613, Time  0.359915
2021-09-09 07:29:23.275123 : Epoch  4, Batch   2308, Loss  0.876785, Average Loss  0.869699, Time  0.397565
2021-09-09 07:29:25.161890 : Epoch  4, Batch   2309, Loss  0.898085, Average Loss  0.869915, Time  0.390336
2021-09-09 07:29:27.013802 : Epoch  4, Batch   2310, Loss  0.869406, Average Loss  0.869784, Time  0.372109
2021-09-09 07:29:28.861029 : Epoch  4, Batch   2311, Loss  0.861696, Average Loss  0.869696, Time  0.384945
2021-09-09 07:29:30.662785 : Epoch  4, Batch   2312, Loss  0.852154, Average Loss  0.869631, Time  0.354629
2021-09-09 07:29:32.534954 : Epoch  4, Batch   2313, Loss  0.867040, Average Loss  0.869629, Time  0.431729
2021-09-09 07:29:34.441079 : Epoch  4, Batch   2314, Loss  0.864879, Average Loss  0.869588, Time  0.353096
2021-09-09 07:29:36.226170 : Epoch  4, Batch   2315, Loss  0.872598, Average Loss  0.869615, Time  0.350829
2021-09-09 07:29:38.177312 : Epoch  4, Batch   2316, Loss  0.862009, Average Loss  0.869566, Time  0.481382
2021-09-09 07:29:39.979800 : Epoch  4, Batch   2317, Loss  0.867092, Average Loss  0.869551, Time  0.328637
2021-09-09 07:29:41.796898 : Epoch  4, Batch   2318, Loss  0.839967, Average Loss  0.869478, Time  0.368411
2021-09-09 07:29:43.604781 : Epoch  4, Batch   2319, Loss  0.870100, Average Loss  0.869407, Time  0.354882
2021-09-09 07:29:45.430782 : Epoch  4, Batch   2320, Loss  0.849326, Average Loss  0.869225, Time  0.349863
2021-09-09 07:29:47.212150 : Epoch  4, Batch   2321, Loss  0.851809, Average Loss  0.869181, Time  0.351422
2021-09-09 07:29:49.011790 : Epoch  4, Batch   2322, Loss  0.892563, Average Loss  0.869311, Time  0.353428
2021-09-09 07:29:50.822791 : Epoch  4, Batch   2323, Loss  0.861628, Average Loss  0.869138, Time  0.384504
2021-09-09 07:29:52.607983 : Epoch  4, Batch   2324, Loss  0.847030, Average Loss  0.868920, Time  0.339575
2021-09-09 07:29:54.392863 : Epoch  4, Batch   2325, Loss  0.872133, Average Loss  0.868914, Time  0.366692
2021-09-09 07:29:56.307796 : Epoch  4, Batch   2326, Loss  0.879519, Average Loss  0.868929, Time  0.442052
2021-09-09 07:29:58.119800 : Epoch  4, Batch   2327, Loss  0.873970, Average Loss  0.868785, Time  0.357578
2021-09-09 07:30:00.051023 : Epoch  4, Batch   2328, Loss  0.871108, Average Loss  0.868594, Time  0.408413
2021-09-09 07:30:01.851804 : Epoch  4, Batch   2329, Loss  0.855094, Average Loss  0.868454, Time  0.370287
2021-09-09 07:30:03.767790 : Epoch  4, Batch   2330, Loss  0.852246, Average Loss  0.868668, Time  0.365815
2021-09-09 07:30:05.603158 : Epoch  4, Batch   2331, Loss  0.892172, Average Loss  0.868702, Time  0.391633
2021-09-09 07:30:07.471779 : Epoch  4, Batch   2332, Loss  0.867245, Average Loss  0.868714, Time  0.372832
2021-09-09 07:30:09.318831 : Epoch  4, Batch   2333, Loss  0.872396, Average Loss  0.868767, Time  0.377997
2021-09-09 07:30:11.118788 : Epoch  4, Batch   2334, Loss  0.852552, Average Loss  0.868679, Time  0.354715
2021-09-09 07:30:12.893184 : Epoch  4, Batch   2335, Loss  0.853646, Average Loss  0.868817, Time  0.341653
2021-09-09 07:30:14.794348 : Epoch  4, Batch   2336, Loss  0.869124, Average Loss  0.868785, Time  0.416192
2021-09-09 07:30:16.679796 : Epoch  4, Batch   2337, Loss  0.849148, Average Loss  0.868648, Time  0.408245
2021-09-09 07:30:18.669793 : Epoch  4, Batch   2338, Loss  0.862595, Average Loss  0.868693, Time  0.371411
2021-09-09 07:30:20.594048 : Epoch  4, Batch   2339, Loss  0.857523, Average Loss  0.868620, Time  0.416281
2021-09-09 07:30:22.401041 : Epoch  4, Batch   2340, Loss  0.854300, Average Loss  0.868536, Time  0.350259
2021-09-09 07:30:24.205812 : Epoch  4, Batch   2341, Loss  0.893398, Average Loss  0.868557, Time  0.373903
2021-09-09 07:30:26.083949 : Epoch  4, Batch   2342, Loss  0.881017, Average Loss  0.868609, Time  0.430074
2021-09-09 07:30:27.950851 : Epoch  4, Batch   2343, Loss  0.871388, Average Loss  0.868713, Time  0.395625
2021-09-09 07:30:29.900846 : Epoch  4, Batch   2344, Loss  0.886309, Average Loss  0.868744, Time  0.454489
2021-09-09 07:30:31.766782 : Epoch  4, Batch   2345, Loss  0.860995, Average Loss  0.868569, Time  0.385563
2021-09-09 07:30:33.662781 : Epoch  4, Batch   2346, Loss  0.881335, Average Loss  0.868692, Time  0.365495
2021-09-09 07:30:35.586807 : Epoch  4, Batch   2347, Loss  0.892688, Average Loss  0.868957, Time  0.447382
2021-09-09 07:30:37.448212 : Epoch  4, Batch   2348, Loss  0.854324, Average Loss  0.868951, Time  0.376091
2021-09-09 07:30:39.345271 : Epoch  4, Batch   2349, Loss  0.876165, Average Loss  0.869052, Time  0.410164
2021-09-09 07:30:41.235795 : Epoch  4, Batch   2350, Loss  0.878098, Average Loss  0.868957, Time  0.409925
2021-09-09 07:30:43.125009 : Epoch  4, Batch   2351, Loss  0.901116, Average Loss  0.869293, Time  0.386209
2021-09-09 07:30:45.028790 : Epoch  4, Batch   2352, Loss  0.871905, Average Loss  0.869474, Time  0.421925
2021-09-09 07:30:46.818772 : Epoch  4, Batch   2353, Loss  0.864651, Average Loss  0.869427, Time  0.342540
2021-09-09 07:30:48.649825 : Epoch  4, Batch   2354, Loss  0.883157, Average Loss  0.869346, Time  0.372895
2021-09-09 07:30:50.443784 : Epoch  4, Batch   2355, Loss  0.887480, Average Loss  0.869463, Time  0.348306
2021-09-09 07:30:52.222779 : Epoch  4, Batch   2356, Loss  0.856714, Average Loss  0.869335, Time  0.344089
2021-09-09 07:30:54.150787 : Epoch  4, Batch   2357, Loss  0.853165, Average Loss  0.869280, Time  0.426764
2021-09-09 07:30:55.947690 : Epoch  4, Batch   2358, Loss  0.883813, Average Loss  0.869353, Time  0.344899
2021-09-09 07:30:57.828844 : Epoch  4, Batch   2359, Loss  0.857682, Average Loss  0.869224, Time  0.399214
2021-09-09 07:30:59.803803 : Epoch  4, Batch   2360, Loss  0.879135, Average Loss  0.869201, Time  0.473971
2021-09-09 07:31:01.673787 : Epoch  4, Batch   2361, Loss  0.877328, Average Loss  0.869300, Time  0.395506
2021-09-09 07:31:03.558480 : Epoch  4, Batch   2362, Loss  0.833707, Average Loss  0.869177, Time  0.402729
2021-09-09 07:31:05.500292 : Epoch  4, Batch   2363, Loss  0.878167, Average Loss  0.869219, Time  0.465445
2021-09-09 07:31:07.390197 : Epoch  4, Batch   2364, Loss  0.855185, Average Loss  0.869038, Time  0.396627
2021-09-09 07:31:09.256864 : Epoch  4, Batch   2365, Loss  0.866098, Average Loss  0.869025, Time  0.384289
2021-09-09 07:31:11.217280 : Epoch  4, Batch   2366, Loss  0.884513, Average Loss  0.869153, Time  0.463156
2021-09-09 07:31:13.092968 : Epoch  4, Batch   2367, Loss  0.879013, Average Loss  0.869121, Time  0.395144
2021-09-09 07:36:08.636805 : CheckPoint: Validation Loss  0.00061893, Best Loss  0.00056427
2021-09-09 07:36:10.424782 : Epoch  4, Batch   2368, Loss  0.900565, Average Loss  0.869227, Time  0.372112
2021-09-09 07:36:12.196778 : Epoch  4, Batch   2369, Loss  0.862343, Average Loss  0.869280, Time  0.346212
2021-09-09 07:36:13.986442 : Epoch  4, Batch   2370, Loss  0.863481, Average Loss  0.869426, Time  0.366926
2021-09-09 07:36:15.804345 : Epoch  4, Batch   2371, Loss  0.845447, Average Loss  0.869246, Time  0.353733
2021-09-09 07:36:17.586849 : Epoch  4, Batch   2372, Loss  0.871944, Average Loss  0.869252, Time  0.359493
2021-09-09 07:36:19.385509 : Epoch  4, Batch   2373, Loss  0.859466, Average Loss  0.869181, Time  0.352780
2021-09-09 07:36:21.162531 : Epoch  4, Batch   2374, Loss  0.887417, Average Loss  0.869234, Time  0.351310
2021-09-09 07:36:22.962238 : Epoch  4, Batch   2375, Loss  0.858162, Average Loss  0.869148, Time  0.363854
2021-09-09 07:36:24.784871 : Epoch  4, Batch   2376, Loss  0.843310, Average Loss  0.868929, Time  0.369388
2021-09-09 07:36:26.653159 : Epoch  4, Batch   2377, Loss  0.883474, Average Loss  0.868922, Time  0.434535
2021-09-09 07:36:28.446778 : Epoch  4, Batch   2378, Loss  0.867396, Average Loss  0.868950, Time  0.357092
2021-09-09 07:36:30.279955 : Epoch  4, Batch   2379, Loss  0.886902, Average Loss  0.868884, Time  0.372868
2021-09-09 07:36:32.107845 : Epoch  4, Batch   2380, Loss  0.840809, Average Loss  0.868628, Time  0.344178
2021-09-09 07:36:33.946127 : Epoch  4, Batch   2381, Loss  0.858136, Average Loss  0.868524, Time  0.370139
2021-09-09 07:36:35.802078 : Epoch  4, Batch   2382, Loss  0.897422, Average Loss  0.868570, Time  0.340066
2021-09-09 07:36:37.604206 : Epoch  4, Batch   2383, Loss  0.908716, Average Loss  0.868802, Time  0.364253
2021-09-09 07:36:39.500883 : Epoch  4, Batch   2384, Loss  0.860427, Average Loss  0.868741, Time  0.425490
2021-09-09 07:36:41.300833 : Epoch  4, Batch   2385, Loss  0.857584, Average Loss  0.868723, Time  0.343766
2021-09-09 07:36:43.119953 : Epoch  4, Batch   2386, Loss  0.866028, Average Loss  0.868875, Time  0.358298
2021-09-09 07:36:44.954797 : Epoch  4, Batch   2387, Loss  0.887206, Average Loss  0.868991, Time  0.371240
2021-09-09 07:36:46.784287 : Epoch  4, Batch   2388, Loss  0.874395, Average Loss  0.869113, Time  0.364726
2021-09-09 07:36:48.652291 : Epoch  4, Batch   2389, Loss  0.870480, Average Loss  0.869073, Time  0.416263
2021-09-09 07:36:50.436777 : Epoch  4, Batch   2390, Loss  0.862746, Average Loss  0.869275, Time  0.362699
2021-09-09 07:36:52.235776 : Epoch  4, Batch   2391, Loss  0.858272, Average Loss  0.869288, Time  0.355752
2021-09-09 07:36:54.098840 : Epoch  4, Batch   2392, Loss  0.879242, Average Loss  0.869487, Time  0.415868
2021-09-09 07:36:55.896142 : Epoch  4, Batch   2393, Loss  0.882013, Average Loss  0.869511, Time  0.361714
2021-09-09 07:36:57.689374 : Epoch  4, Batch   2394, Loss  0.840169, Average Loss  0.869451, Time  0.354408
2021-09-09 07:36:59.463364 : Epoch  4, Batch   2395, Loss  0.886571, Average Loss  0.869510, Time  0.339992
2021-09-09 07:37:01.305938 : Epoch  4, Batch   2396, Loss  0.878715, Average Loss  0.869446, Time  0.331028
2021-09-09 07:37:03.273848 : Epoch  4, Batch   2397, Loss  0.863659, Average Loss  0.869560, Time  0.409139
2021-09-09 07:37:05.120826 : Epoch  4, Batch   2398, Loss  0.845468, Average Loss  0.869360, Time  0.404571
2021-09-09 07:37:06.888952 : Epoch  4, Batch   2399, Loss  0.900259, Average Loss  0.869455, Time  0.348079
2021-09-09 07:37:08.715473 : Epoch  4, Batch   2400, Loss  0.858253, Average Loss  0.869333, Time  0.392879
2021-09-09 07:37:10.530297 : Epoch  4, Batch   2401, Loss  0.876399, Average Loss  0.869311, Time  0.364164
2021-09-09 07:37:12.471963 : Epoch  4, Batch   2402, Loss  0.876183, Average Loss  0.869373, Time  0.338492
2021-09-09 07:37:14.393954 : Epoch  4, Batch   2403, Loss  0.854103, Average Loss  0.869393, Time  0.442215
2021-09-09 07:37:16.250971 : Epoch  4, Batch   2404, Loss  0.852475, Average Loss  0.869223, Time  0.406564
2021-09-09 07:37:18.192795 : Epoch  4, Batch   2405, Loss  0.836420, Average Loss  0.869027, Time  0.383155
2021-09-09 07:37:20.171802 : Epoch  4, Batch   2406, Loss  0.878376, Average Loss  0.869038, Time  0.445365
2021-09-09 07:37:21.933827 : Epoch  4, Batch   2407, Loss  0.855334, Average Loss  0.868919, Time  0.336905
2021-09-09 07:37:23.733795 : Epoch  4, Batch   2408, Loss  0.863571, Average Loss  0.868982, Time  0.354494
2021-09-09 07:37:25.575094 : Epoch  4, Batch   2409, Loss  0.895827, Average Loss  0.869086, Time  0.411537
2021-09-09 07:37:27.381764 : Epoch  4, Batch   2410, Loss  0.888050, Average Loss  0.869165, Time  0.351668
2021-09-09 07:37:29.242827 : Epoch  4, Batch   2411, Loss  0.863733, Average Loss  0.869118, Time  0.401989
2021-09-09 07:37:31.078784 : Epoch  4, Batch   2412, Loss  0.826857, Average Loss  0.868877, Time  0.349935
2021-09-09 07:37:32.867783 : Epoch  4, Batch   2413, Loss  0.856328, Average Loss  0.868698, Time  0.342185
2021-09-09 07:37:34.751032 : Epoch  4, Batch   2414, Loss  0.873551, Average Loss  0.868600, Time  0.354967
2021-09-09 07:37:36.726796 : Epoch  4, Batch   2415, Loss  0.845966, Average Loss  0.868384, Time  0.347545
2021-09-09 07:37:38.682776 : Epoch  4, Batch   2416, Loss  0.866600, Average Loss  0.868456, Time  0.396381
2021-09-09 07:37:40.474927 : Epoch  4, Batch   2417, Loss  0.860185, Average Loss  0.868527, Time  0.349517
2021-09-09 07:37:42.308421 : Epoch  4, Batch   2418, Loss  0.854075, Average Loss  0.868532, Time  0.379957
2021-09-09 07:37:44.097955 : Epoch  4, Batch   2419, Loss  0.858378, Average Loss  0.868577, Time  0.351202
2021-09-09 07:37:45.920778 : Epoch  4, Batch   2420, Loss  0.841622, Average Loss  0.868329, Time  0.361920
2021-09-09 07:37:47.774848 : Epoch  4, Batch   2421, Loss  0.867093, Average Loss  0.868268, Time  0.413408
2021-09-09 07:37:49.604780 : Epoch  4, Batch   2422, Loss  0.854828, Average Loss  0.868284, Time  0.355113
2021-09-09 07:37:51.422972 : Epoch  4, Batch   2423, Loss  0.862341, Average Loss  0.868201, Time  0.371099
2021-09-09 07:37:53.239260 : Epoch  4, Batch   2424, Loss  0.868003, Average Loss  0.868170, Time  0.379019
2021-09-09 07:37:55.035782 : Epoch  4, Batch   2425, Loss  0.893939, Average Loss  0.868268, Time  0.351374
2021-09-09 07:37:56.863833 : Epoch  4, Batch   2426, Loss  0.885108, Average Loss  0.868342, Time  0.389201
2021-09-09 07:37:58.650788 : Epoch  4, Batch   2427, Loss  0.895837, Average Loss  0.868576, Time  0.356821
2021-09-09 07:38:00.411790 : Epoch  4, Batch   2428, Loss  0.882686, Average Loss  0.868609, Time  0.333753
2021-09-09 07:38:02.277310 : Epoch  4, Batch   2429, Loss  0.847413, Average Loss  0.868586, Time  0.409434
2021-09-09 07:38:04.069357 : Epoch  4, Batch   2430, Loss  0.857362, Average Loss  0.868559, Time  0.360288
2021-09-09 07:38:06.017962 : Epoch  4, Batch   2431, Loss  0.839613, Average Loss  0.868417, Time  0.386900
2021-09-09 07:38:07.818950 : Epoch  4, Batch   2432, Loss  0.869816, Average Loss  0.868522, Time  0.336035
2021-09-09 07:38:09.628901 : Epoch  4, Batch   2433, Loss  0.886729, Average Loss  0.868520, Time  0.335413
2021-09-09 07:38:11.410783 : Epoch  4, Batch   2434, Loss  0.893707, Average Loss  0.868581, Time  0.333895
2021-09-09 07:38:13.212001 : Epoch  4, Batch   2435, Loss  0.873457, Average Loss  0.868603, Time  0.357636
2021-09-09 07:38:15.026789 : Epoch  4, Batch   2436, Loss  0.858200, Average Loss  0.868495, Time  0.389714
2021-09-09 07:38:16.783140 : Epoch  4, Batch   2437, Loss  0.883259, Average Loss  0.868634, Time  0.325607
2021-09-09 07:38:18.585870 : Epoch  4, Batch   2438, Loss  0.899782, Average Loss  0.868826, Time  0.339772
2021-09-09 07:38:20.400143 : Epoch  4, Batch   2439, Loss  0.887819, Average Loss  0.868837, Time  0.387049
2021-09-09 07:38:22.183785 : Epoch  4, Batch   2440, Loss  0.868525, Average Loss  0.868787, Time  0.356333
2021-09-09 07:38:23.977928 : Epoch  4, Batch   2441, Loss  0.880233, Average Loss  0.868804, Time  0.363851
2021-09-09 07:38:25.809849 : Epoch  4, Batch   2442, Loss  0.842469, Average Loss  0.868758, Time  0.387043
2021-09-09 07:38:27.637803 : Epoch  4, Batch   2443, Loss  0.887285, Average Loss  0.868830, Time  0.376298
2021-09-09 07:38:29.557726 : Epoch  4, Batch   2444, Loss  0.847543, Average Loss  0.868763, Time  0.383586
2021-09-09 07:38:31.468781 : Epoch  4, Batch   2445, Loss  0.865043, Average Loss  0.868759, Time  0.416250
2021-09-09 07:38:33.273340 : Epoch  4, Batch   2446, Loss  0.826419, Average Loss  0.868590, Time  0.357066
2021-09-09 07:38:35.114435 : Epoch  4, Batch   2447, Loss  0.851621, Average Loss  0.868639, Time  0.412637
2021-09-09 07:38:36.897776 : Epoch  4, Batch   2448, Loss  0.867535, Average Loss  0.868656, Time  0.347330
2021-09-09 07:38:38.673167 : Epoch  4, Batch   2449, Loss  0.855629, Average Loss  0.868566, Time  0.344120
2021-09-09 07:38:40.486330 : Epoch  4, Batch   2450, Loss  0.868194, Average Loss  0.868407, Time  0.363609
2021-09-09 07:38:42.276215 : Epoch  4, Batch   2451, Loss  0.865733, Average Loss  0.868499, Time  0.332830
2021-09-09 07:38:44.139824 : Epoch  4, Batch   2452, Loss  0.850882, Average Loss  0.868589, Time  0.424795
2021-09-09 07:38:45.926124 : Epoch  4, Batch   2453, Loss  0.849609, Average Loss  0.868393, Time  0.346098
2021-09-09 07:38:47.836836 : Epoch  4, Batch   2454, Loss  0.859703, Average Loss  0.868418, Time  0.432598
2021-09-09 07:38:49.701946 : Epoch  4, Batch   2455, Loss  0.882629, Average Loss  0.868549, Time  0.404999
2021-09-09 07:38:51.530261 : Epoch  4, Batch   2456, Loss  0.853156, Average Loss  0.868431, Time  0.357816
2021-09-09 07:38:53.418798 : Epoch  4, Batch   2457, Loss  0.863399, Average Loss  0.868451, Time  0.376703
2021-09-09 07:38:55.249777 : Epoch  4, Batch   2458, Loss  0.882913, Average Loss  0.868407, Time  0.402192
2021-09-09 07:38:57.013874 : Epoch  4, Batch   2459, Loss  0.857407, Average Loss  0.868411, Time  0.335235
2021-09-09 07:38:58.837423 : Epoch  4, Batch   2460, Loss  0.859668, Average Loss  0.868279, Time  0.401264
2021-09-09 07:39:00.625772 : Epoch  4, Batch   2461, Loss  0.859790, Average Loss  0.868151, Time  0.365410
2021-09-09 07:39:02.425989 : Epoch  4, Batch   2462, Loss  0.845567, Average Loss  0.867927, Time  0.381441
2021-09-09 07:39:04.341791 : Epoch  4, Batch   2463, Loss  0.846989, Average Loss  0.868014, Time  0.409036
2021-09-09 07:39:06.105831 : Epoch  4, Batch   2464, Loss  0.908153, Average Loss  0.868267, Time  0.330317
2021-09-09 07:39:07.919378 : Epoch  4, Batch   2465, Loss  0.871602, Average Loss  0.868285, Time  0.344712
2021-09-09 07:39:09.776877 : Epoch  4, Batch   2466, Loss  0.870919, Average Loss  0.868240, Time  0.414709
2021-09-09 07:39:11.661782 : Epoch  4, Batch   2467, Loss  0.837430, Average Loss  0.868051, Time  0.354049
2021-09-09 07:44:05.789727 : CheckPoint: Validation Loss  0.00059816, Best Loss  0.00056427
2021-09-09 07:44:07.564162 : Epoch  4, Batch   2468, Loss  0.870777, Average Loss  0.868120, Time  0.354683
2021-09-09 07:44:09.455793 : Epoch  4, Batch   2469, Loss  0.883646, Average Loss  0.868198, Time  0.437135
2021-09-09 07:44:11.240781 : Epoch  4, Batch   2470, Loss  0.875854, Average Loss  0.868176, Time  0.352513
2021-09-09 07:44:13.061986 : Epoch  4, Batch   2471, Loss  0.869996, Average Loss  0.868338, Time  0.358410
2021-09-09 07:44:14.985828 : Epoch  4, Batch   2472, Loss  0.859173, Average Loss  0.868116, Time  0.449800
2021-09-09 07:44:16.723992 : Epoch  4, Batch   2473, Loss  0.896322, Average Loss  0.868173, Time  0.324286
2021-09-09 07:44:18.603164 : Epoch  4, Batch   2474, Loss  0.883196, Average Loss  0.868261, Time  0.386969
2021-09-09 07:44:20.512940 : Epoch  4, Batch   2475, Loss  0.858374, Average Loss  0.868313, Time  0.404301
2021-09-09 07:44:22.394851 : Epoch  4, Batch   2476, Loss  0.863330, Average Loss  0.868348, Time  0.397201
2021-09-09 07:44:24.317787 : Epoch  4, Batch   2477, Loss  0.891681, Average Loss  0.868481, Time  0.434669
2021-09-09 07:44:26.186562 : Epoch  4, Batch   2478, Loss  0.862174, Average Loss  0.868423, Time  0.391490
2021-09-09 07:44:28.038863 : Epoch  4, Batch   2479, Loss  0.843159, Average Loss  0.868259, Time  0.377544
2021-09-09 07:44:29.975786 : Epoch  4, Batch   2480, Loss  0.872594, Average Loss  0.868341, Time  0.471587
2021-09-09 07:44:31.759256 : Epoch  4, Batch   2481, Loss  0.834155, Average Loss  0.868155, Time  0.354710
2021-09-09 07:44:33.795946 : Epoch  4, Batch   2482, Loss  0.857848, Average Loss  0.867971, Time  0.479877
2021-09-09 07:44:35.663795 : Epoch  4, Batch   2483, Loss  0.867507, Average Loss  0.867824, Time  0.384124
2021-09-09 07:44:37.517166 : Epoch  4, Batch   2484, Loss  0.885535, Average Loss  0.867778, Time  0.373441
2021-09-09 07:44:39.418044 : Epoch  4, Batch   2485, Loss  0.843229, Average Loss  0.867549, Time  0.442172
2021-09-09 07:44:41.291833 : Epoch  4, Batch   2486, Loss  0.848535, Average Loss  0.867416, Time  0.389180
2021-09-09 07:44:43.296832 : Epoch  4, Batch   2487, Loss  0.862877, Average Loss  0.867339, Time  0.389133
2021-09-09 07:44:45.222260 : Epoch  4, Batch   2488, Loss  0.882292, Average Loss  0.867328, Time  0.463508
2021-09-09 07:44:47.142848 : Epoch  4, Batch   2489, Loss  0.849247, Average Loss  0.867114, Time  0.401740
2021-09-09 07:44:49.110224 : Epoch  4, Batch   2490, Loss  0.832594, Average Loss  0.866969, Time  0.379894
2021-09-09 07:44:50.997484 : Epoch  4, Batch   2491, Loss  0.853546, Average Loss  0.866976, Time  0.414206
2021-09-09 07:44:52.919214 : Epoch  4, Batch   2492, Loss  0.838200, Average Loss  0.866741, Time  0.390630
2021-09-09 07:44:54.854438 : Epoch  4, Batch   2493, Loss  0.880725, Average Loss  0.866877, Time  0.448727
2021-09-09 07:44:56.714435 : Epoch  4, Batch   2494, Loss  0.840921, Average Loss  0.866761, Time  0.378906
2021-09-09 07:44:58.570199 : Epoch  4, Batch   2495, Loss  0.863711, Average Loss  0.866752, Time  0.390146
2021-09-09 07:45:00.478879 : Epoch  4, Batch   2496, Loss  0.874623, Average Loss  0.866821, Time  0.423923
2021-09-09 07:45:02.348787 : Epoch  4, Batch   2497, Loss  0.874018, Average Loss  0.866950, Time  0.393846
2021-09-09 07:45:04.245021 : Epoch  4, Batch   2498, Loss  0.890287, Average Loss  0.866952, Time  0.381261
2021-09-09 07:45:06.069065 : Epoch  4, Batch   2499, Loss  0.861502, Average Loss  0.866832, Time  0.359693
2021-09-09 07:45:07.847854 : Epoch  4, Batch   2500, Loss  0.854776, Average Loss  0.866807, Time  0.330225
2021-09-09 07:45:09.661931 : Epoch  4, Batch   2501, Loss  0.845687, Average Loss  0.866546, Time  0.386282
2021-09-09 07:45:11.436038 : Epoch  4, Batch   2502, Loss  0.846404, Average Loss  0.866545, Time  0.338660
2021-09-09 07:45:13.274947 : Epoch  4, Batch   2503, Loss  0.895530, Average Loss  0.866547, Time  0.369303
2021-09-09 07:45:15.129982 : Epoch  4, Batch   2504, Loss  0.859898, Average Loss  0.866482, Time  0.410124
2021-09-09 07:45:16.918810 : Epoch  4, Batch   2505, Loss  0.878369, Average Loss  0.866619, Time  0.355494
2021-09-09 07:45:18.818804 : Epoch  4, Batch   2506, Loss  0.886928, Average Loss  0.866902, Time  0.408621
2021-09-09 07:45:20.699334 : Epoch  4, Batch   2507, Loss  0.848083, Average Loss  0.866892, Time  0.399248
2021-09-09 07:45:22.579817 : Epoch  4, Batch   2508, Loss  0.867812, Average Loss  0.866847, Time  0.392002
2021-09-09 07:45:24.508779 : Epoch  4, Batch   2509, Loss  0.879104, Average Loss  0.866752, Time  0.456811
2021-09-09 07:45:26.277151 : Epoch  4, Batch   2510, Loss  0.883725, Average Loss  0.866823, Time  0.332758
2021-09-09 07:45:28.065996 : Epoch  4, Batch   2511, Loss  0.859374, Average Loss  0.866812, Time  0.335411
2021-09-09 07:45:29.858397 : Epoch  4, Batch   2512, Loss  0.888719, Average Loss  0.866995, Time  0.337077
2021-09-09 07:45:31.651519 : Epoch  4, Batch   2513, Loss  0.849650, Average Loss  0.866908, Time  0.345413
2021-09-09 07:45:33.602123 : Epoch  4, Batch   2514, Loss  0.857315, Average Loss  0.866870, Time  0.447637
2021-09-09 07:45:35.487837 : Epoch  4, Batch   2515, Loss  0.842363, Average Loss  0.866719, Time  0.386377
2021-09-09 07:45:37.373854 : Epoch  4, Batch   2516, Loss  0.869553, Average Loss  0.866756, Time  0.412778
2021-09-09 07:45:39.230788 : Epoch  4, Batch   2517, Loss  0.879760, Average Loss  0.866820, Time  0.384841
2021-09-09 07:45:41.042103 : Epoch  4, Batch   2518, Loss  0.868503, Average Loss  0.866963, Time  0.338613
2021-09-09 07:45:43.087918 : Epoch  4, Batch   2519, Loss  0.832898, Average Loss  0.866776, Time  0.474276
2021-09-09 07:45:44.891837 : Epoch  4, Batch   2520, Loss  0.866439, Average Loss  0.866862, Time  0.362077
2021-09-09 07:45:46.716791 : Epoch  4, Batch   2521, Loss  0.884960, Average Loss  0.867028, Time  0.364618
2021-09-09 07:45:48.736799 : Epoch  4, Batch   2522, Loss  0.868142, Average Loss  0.866906, Time  0.416588
2021-09-09 07:45:50.568170 : Epoch  4, Batch   2523, Loss  0.896908, Average Loss  0.867082, Time  0.356224
2021-09-09 07:45:52.397310 : Epoch  4, Batch   2524, Loss  0.892628, Average Loss  0.867310, Time  0.366817
2021-09-09 07:45:54.407249 : Epoch  4, Batch   2525, Loss  0.830631, Average Loss  0.867103, Time  0.442516
2021-09-09 07:45:56.288371 : Epoch  4, Batch   2526, Loss  0.872862, Average Loss  0.867069, Time  0.413085
2021-09-09 07:45:58.237938 : Epoch  4, Batch   2527, Loss  0.843031, Average Loss  0.866915, Time  0.477263
2021-09-09 07:46:00.166002 : Epoch  4, Batch   2528, Loss  0.874919, Average Loss  0.866934, Time  0.449575
2021-09-09 07:46:01.998779 : Epoch  4, Batch   2529, Loss  0.862978, Average Loss  0.866973, Time  0.403425
2021-09-09 07:46:03.831185 : Epoch  4, Batch   2530, Loss  0.876572, Average Loss  0.867095, Time  0.396257
2021-09-09 07:46:05.712273 : Epoch  4, Batch   2531, Loss  0.867383, Average Loss  0.866971, Time  0.380256
2021-09-09 07:46:07.552839 : Epoch  4, Batch   2532, Loss  0.851039, Average Loss  0.866890, Time  0.356674
2021-09-09 07:46:09.401835 : Epoch  4, Batch   2533, Loss  0.835993, Average Loss  0.866708, Time  0.405414
2021-09-09 07:46:11.179657 : Epoch  4, Batch   2534, Loss  0.882002, Average Loss  0.866855, Time  0.356163
2021-09-09 07:46:13.057877 : Epoch  4, Batch   2535, Loss  0.837335, Average Loss  0.866773, Time  0.358153
2021-09-09 07:46:14.924780 : Epoch  4, Batch   2536, Loss  0.904884, Average Loss  0.866952, Time  0.415333
2021-09-09 07:46:16.739189 : Epoch  4, Batch   2537, Loss  0.828969, Average Loss  0.866851, Time  0.376731
2021-09-09 07:46:18.633785 : Epoch  4, Batch   2538, Loss  0.859488, Average Loss  0.866836, Time  0.432461
2021-09-09 07:46:20.458785 : Epoch  4, Batch   2539, Loss  0.851582, Average Loss  0.866806, Time  0.349275
2021-09-09 07:46:22.304935 : Epoch  4, Batch   2540, Loss  0.871839, Average Loss  0.866894, Time  0.409097
2021-09-09 07:46:24.097773 : Epoch  4, Batch   2541, Loss  0.883559, Average Loss  0.866845, Time  0.354754
2021-09-09 07:46:25.920378 : Epoch  4, Batch   2542, Loss  0.886098, Average Loss  0.866870, Time  0.371884
2021-09-09 07:46:27.729235 : Epoch  4, Batch   2543, Loss  0.902341, Average Loss  0.867025, Time  0.357386
2021-09-09 07:46:29.515105 : Epoch  4, Batch   2544, Loss  0.882155, Average Loss  0.867004, Time  0.343254
2021-09-09 07:46:31.370841 : Epoch  4, Batch   2545, Loss  0.839759, Average Loss  0.866898, Time  0.409954
2021-09-09 07:46:33.155304 : Epoch  4, Batch   2546, Loss  0.885456, Average Loss  0.866918, Time  0.348095
2021-09-09 07:46:35.057310 : Epoch  4, Batch   2547, Loss  0.874404, Average Loss  0.866827, Time  0.432865
2021-09-09 07:46:37.016796 : Epoch  4, Batch   2548, Loss  0.899540, Average Loss  0.867053, Time  0.486551
2021-09-09 07:46:38.898490 : Epoch  4, Batch   2549, Loss  0.863565, Average Loss  0.866990, Time  0.414995
2021-09-09 07:46:40.774070 : Epoch  4, Batch   2550, Loss  0.864600, Average Loss  0.866923, Time  0.379128
2021-09-09 07:46:42.663486 : Epoch  4, Batch   2551, Loss  0.874642, Average Loss  0.866790, Time  0.406634
2021-09-09 07:46:44.542890 : Epoch  4, Batch   2552, Loss  0.852738, Average Loss  0.866694, Time  0.403974
2021-09-09 07:46:46.458803 : Epoch  4, Batch   2553, Loss  0.884610, Average Loss  0.866794, Time  0.446353
2021-09-09 07:46:48.337785 : Epoch  4, Batch   2554, Loss  0.879248, Average Loss  0.866775, Time  0.397937
2021-09-09 07:46:50.196298 : Epoch  4, Batch   2555, Loss  0.831226, Average Loss  0.866493, Time  0.396075
2021-09-09 07:46:52.106201 : Epoch  4, Batch   2556, Loss  0.887723, Average Loss  0.866648, Time  0.446111
2021-09-09 07:46:53.988831 : Epoch  4, Batch   2557, Loss  0.856719, Average Loss  0.866666, Time  0.402430
2021-09-09 07:46:55.868259 : Epoch  4, Batch   2558, Loss  0.856192, Average Loss  0.866528, Time  0.389385
2021-09-09 07:46:57.742405 : Epoch  4, Batch   2559, Loss  0.858770, Average Loss  0.866534, Time  0.396661
2021-09-09 07:46:59.626137 : Epoch  4, Batch   2560, Loss  0.912772, Average Loss  0.866702, Time  0.392795
2021-09-09 07:47:01.539803 : Epoch  4, Batch   2561, Loss  0.878226, Average Loss  0.866706, Time  0.446151
2021-09-09 07:47:03.320197 : Epoch  4, Batch   2562, Loss  0.864959, Average Loss  0.866862, Time  0.331300
2021-09-09 07:47:05.099781 : Epoch  4, Batch   2563, Loss  0.874617, Average Loss  0.866845, Time  0.363020
2021-09-09 07:47:06.905384 : Epoch  4, Batch   2564, Loss  0.844928, Average Loss  0.866793, Time  0.356658
2021-09-09 07:47:08.759643 : Epoch  4, Batch   2565, Loss  0.872040, Average Loss  0.866823, Time  0.351831
2021-09-09 07:47:10.737937 : Epoch  4, Batch   2566, Loss  0.867282, Average Loss  0.866737, Time  0.477618
2021-09-09 07:47:12.671980 : Epoch  4, Batch   2567, Loss  0.880825, Average Loss  0.866746, Time  0.428005
2021-09-09 07:52:07.008721 : CheckPoint: Validation Loss  0.00061633, Best Loss  0.00056427
2021-09-09 07:52:08.814790 : Epoch  4, Batch   2568, Loss  0.859576, Average Loss  0.866541, Time  0.362020
2021-09-09 07:52:10.610778 : Epoch  4, Batch   2569, Loss  0.852946, Average Loss  0.866494, Time  0.363927
2021-09-09 07:52:12.483789 : Epoch  4, Batch   2570, Loss  0.827931, Average Loss  0.866316, Time  0.394788
2021-09-09 07:52:14.342788 : Epoch  4, Batch   2571, Loss  0.865994, Average Loss  0.866419, Time  0.380739
2021-09-09 07:52:16.290832 : Epoch  4, Batch   2572, Loss  0.865532, Average Loss  0.866387, Time  0.471720
2021-09-09 07:52:18.149546 : Epoch  4, Batch   2573, Loss  0.889077, Average Loss  0.866535, Time  0.388836
2021-09-09 07:52:20.039792 : Epoch  4, Batch   2574, Loss  0.874339, Average Loss  0.866470, Time  0.410890
2021-09-09 07:52:21.885938 : Epoch  4, Batch   2575, Loss  0.872376, Average Loss  0.866541, Time  0.389566
2021-09-09 07:52:23.743882 : Epoch  4, Batch   2576, Loss  0.865735, Average Loss  0.866653, Time  0.378535
2021-09-09 07:52:25.688794 : Epoch  4, Batch   2577, Loss  0.878399, Average Loss  0.866628, Time  0.448276
2021-09-09 07:52:27.469803 : Epoch  4, Batch   2578, Loss  0.888958, Average Loss  0.866735, Time  0.326853
2021-09-09 07:52:29.250835 : Epoch  4, Batch   2579, Loss  0.841283, Average Loss  0.866507, Time  0.353213
2021-09-09 07:52:31.086979 : Epoch  4, Batch   2580, Loss  0.866523, Average Loss  0.866636, Time  0.395165
2021-09-09 07:52:32.952787 : Epoch  4, Batch   2581, Loss  0.849932, Average Loss  0.866595, Time  0.339664
2021-09-09 07:52:34.776780 : Epoch  4, Batch   2582, Loss  0.875975, Average Loss  0.866488, Time  0.382886
2021-09-09 07:52:36.555822 : Epoch  4, Batch   2583, Loss  0.854251, Average Loss  0.866215, Time  0.357879
2021-09-09 07:52:38.358741 : Epoch  4, Batch   2584, Loss  0.842802, Average Loss  0.866127, Time  0.353334
2021-09-09 07:52:40.248240 : Epoch  4, Batch   2585, Loss  0.872486, Average Loss  0.866202, Time  0.378728
2021-09-09 07:52:42.105104 : Epoch  4, Batch   2586, Loss  0.875300, Average Loss  0.866248, Time  0.361666
2021-09-09 07:52:43.977248 : Epoch  4, Batch   2587, Loss  0.836124, Average Loss  0.865993, Time  0.440786
2021-09-09 07:52:45.795857 : Epoch  4, Batch   2588, Loss  0.821335, Average Loss  0.865727, Time  0.362497
2021-09-09 07:52:47.632970 : Epoch  4, Batch   2589, Loss  0.871801, Average Loss  0.865734, Time  0.371957
2021-09-09 07:52:49.542929 : Epoch  4, Batch   2590, Loss  0.871832, Average Loss  0.865779, Time  0.426455
2021-09-09 07:52:51.427212 : Epoch  4, Batch   2591, Loss  0.884847, Average Loss  0.865912, Time  0.397739
2021-09-09 07:52:53.310011 : Epoch  4, Batch   2592, Loss  0.864389, Average Loss  0.865838, Time  0.398681
2021-09-09 07:52:55.249028 : Epoch  4, Batch   2593, Loss  0.847262, Average Loss  0.865664, Time  0.456175
2021-09-09 07:52:57.108318 : Epoch  4, Batch   2594, Loss  0.874943, Average Loss  0.865838, Time  0.367316
2021-09-09 07:52:58.980034 : Epoch  4, Batch   2595, Loss  0.849744, Average Loss  0.865654, Time  0.404197
2021-09-09 07:53:00.918911 : Epoch  4, Batch   2596, Loss  0.891917, Average Loss  0.865720, Time  0.400948
2021-09-09 07:53:02.721282 : Epoch  4, Batch   2597, Loss  0.869840, Average Loss  0.865751, Time  0.358238
2021-09-09 07:53:04.515951 : Epoch  4, Batch   2598, Loss  0.892516, Average Loss  0.865986, Time  0.363223
2021-09-09 07:53:06.443783 : Epoch  4, Batch   2599, Loss  0.861177, Average Loss  0.865791, Time  0.406382
2021-09-09 07:53:08.298936 : Epoch  4, Batch   2600, Loss  0.839912, Average Loss  0.865699, Time  0.351046
2021-09-09 07:53:10.135293 : Epoch  4, Batch   2601, Loss  0.872802, Average Loss  0.865681, Time  0.400451
2021-09-09 07:53:11.936796 : Epoch  4, Batch   2602, Loss  0.870102, Average Loss  0.865651, Time  0.360229
2021-09-09 07:53:13.727787 : Epoch  4, Batch   2603, Loss  0.871601, Average Loss  0.865738, Time  0.352563
2021-09-09 07:53:15.569765 : Epoch  4, Batch   2604, Loss  0.865562, Average Loss  0.865803, Time  0.405820
2021-09-09 07:53:17.353093 : Epoch  4, Batch   2605, Loss  0.877472, Average Loss  0.866009, Time  0.354583
2021-09-09 07:53:19.190837 : Epoch  4, Batch   2606, Loss  0.858735, Average Loss  0.865911, Time  0.394475
2021-09-09 07:53:20.967200 : Epoch  4, Batch   2607, Loss  0.866598, Average Loss  0.865967, Time  0.351864
2021-09-09 07:53:22.753665 : Epoch  4, Batch   2608, Loss  0.858574, Average Loss  0.865942, Time  0.355107
2021-09-09 07:53:24.686860 : Epoch  4, Batch   2609, Loss  0.870270, Average Loss  0.865814, Time  0.449283
2021-09-09 07:53:26.603429 : Epoch  4, Batch   2610, Loss  0.863370, Average Loss  0.865691, Time  0.371884
2021-09-09 07:53:28.466168 : Epoch  4, Batch   2611, Loss  0.839720, Average Loss  0.865571, Time  0.353049
2021-09-09 07:53:30.249776 : Epoch  4, Batch   2612, Loss  0.889979, Average Loss  0.865886, Time  0.350367
2021-09-09 07:53:32.025780 : Epoch  4, Batch   2613, Loss  0.855116, Average Loss  0.865880, Time  0.346716
2021-09-09 07:53:33.822024 : Epoch  4, Batch   2614, Loss  0.901258, Average Loss  0.866019, Time  0.357231
2021-09-09 07:53:35.716783 : Epoch  4, Batch   2615, Loss  0.843518, Average Loss  0.866006, Time  0.408959
2021-09-09 07:53:37.706794 : Epoch  4, Batch   2616, Loss  0.839643, Average Loss  0.865872, Time  0.497076
2021-09-09 07:53:39.589835 : Epoch  4, Batch   2617, Loss  0.848694, Average Loss  0.865814, Time  0.357456
2021-09-09 07:53:41.535008 : Epoch  4, Batch   2618, Loss  0.885117, Average Loss  0.865969, Time  0.434461
2021-09-09 07:53:43.454796 : Epoch  4, Batch   2619, Loss  0.845032, Average Loss  0.865903, Time  0.449771
2021-09-09 07:53:45.370381 : Epoch  4, Batch   2620, Loss  0.860805, Average Loss  0.865999, Time  0.391068
2021-09-09 07:53:47.246834 : Epoch  4, Batch   2621, Loss  0.864153, Average Loss  0.865984, Time  0.402408
2021-09-09 07:53:49.110024 : Epoch  4, Batch   2622, Loss  0.876181, Average Loss  0.866091, Time  0.368769
2021-09-09 07:53:50.974261 : Epoch  4, Batch   2623, Loss  0.864795, Average Loss  0.866103, Time  0.406602
2021-09-09 07:53:52.875792 : Epoch  4, Batch   2624, Loss  0.862123, Average Loss  0.866074, Time  0.437801
2021-09-09 07:53:54.739167 : Epoch  4, Batch   2625, Loss  0.874395, Average Loss  0.865976, Time  0.398705
2021-09-09 07:53:56.614789 : Epoch  4, Batch   2626, Loss  0.851805, Average Loss  0.865809, Time  0.389964
2021-09-09 07:53:58.568893 : Epoch  4, Batch   2627, Loss  0.898745, Average Loss  0.865824, Time  0.480475
2021-09-09 07:54:00.444303 : Epoch  4, Batch   2628, Loss  0.874543, Average Loss  0.865783, Time  0.398595
2021-09-09 07:54:02.318105 : Epoch  4, Batch   2629, Loss  0.850009, Average Loss  0.865796, Time  0.382751
2021-09-09 07:54:04.338236 : Epoch  4, Batch   2630, Loss  0.865111, Average Loss  0.865835, Time  0.410124
2021-09-09 07:54:06.187729 : Epoch  4, Batch   2631, Loss  0.872045, Average Loss  0.865997, Time  0.351044
2021-09-09 07:54:08.200633 : Epoch  4, Batch   2632, Loss  0.893138, Average Loss  0.866114, Time  0.418319
2021-09-09 07:54:10.181801 : Epoch  4, Batch   2633, Loss  0.860502, Average Loss  0.865982, Time  0.482850
2021-09-09 07:54:12.058818 : Epoch  4, Batch   2634, Loss  0.897416, Average Loss  0.866001, Time  0.399908
2021-09-09 07:54:13.937843 : Epoch  4, Batch   2635, Loss  0.883439, Average Loss  0.866051, Time  0.388454
2021-09-09 07:54:15.810990 : Epoch  4, Batch   2636, Loss  0.826174, Average Loss  0.865891, Time  0.391332
2021-09-09 07:54:17.680251 : Epoch  4, Batch   2637, Loss  0.862290, Average Loss  0.865786, Time  0.394785
2021-09-09 07:54:19.615277 : Epoch  4, Batch   2638, Loss  0.880315, Average Loss  0.865689, Time  0.443102
2021-09-09 07:54:21.483370 : Epoch  4, Batch   2639, Loss  0.879072, Average Loss  0.865645, Time  0.391677
2021-09-09 07:54:23.365787 : Epoch  4, Batch   2640, Loss  0.854402, Average Loss  0.865574, Time  0.410327
2021-09-09 07:54:25.301295 : Epoch  4, Batch   2641, Loss  0.879270, Average Loss  0.865569, Time  0.448413
2021-09-09 07:54:27.200787 : Epoch  4, Batch   2642, Loss  0.873080, Average Loss  0.865723, Time  0.389245
2021-09-09 07:54:29.103357 : Epoch  4, Batch   2643, Loss  0.869322, Average Loss  0.865633, Time  0.416743
2021-09-09 07:54:30.963094 : Epoch  4, Batch   2644, Loss  0.888810, Average Loss  0.865839, Time  0.382703
2021-09-09 07:54:32.838880 : Epoch  4, Batch   2645, Loss  0.863875, Average Loss  0.865833, Time  0.389591
2021-09-09 07:54:34.713938 : Epoch  4, Batch   2646, Loss  0.900274, Average Loss  0.866202, Time  0.391216
2021-09-09 07:54:36.593805 : Epoch  4, Batch   2647, Loss  0.874652, Average Loss  0.866318, Time  0.401540
2021-09-09 07:54:38.519957 : Epoch  4, Batch   2648, Loss  0.900173, Average Loss  0.866481, Time  0.430663
2021-09-09 07:54:40.404212 : Epoch  4, Batch   2649, Loss  0.886098, Average Loss  0.866633, Time  0.397554
2021-09-09 07:54:42.199781 : Epoch  4, Batch   2650, Loss  0.867197, Average Loss  0.866628, Time  0.350188
2021-09-09 07:54:44.049479 : Epoch  4, Batch   2651, Loss  0.847098, Average Loss  0.866535, Time  0.405259
2021-09-09 07:54:45.860055 : Epoch  4, Batch   2652, Loss  0.870055, Average Loss  0.866631, Time  0.357682
2021-09-09 07:54:47.769445 : Epoch  4, Batch   2653, Loss  0.891079, Average Loss  0.866838, Time  0.461349
2021-09-09 07:54:49.654782 : Epoch  4, Batch   2654, Loss  0.882972, Average Loss  0.866955, Time  0.399019
2021-09-09 07:54:51.512847 : Epoch  4, Batch   2655, Loss  0.857393, Average Loss  0.866828, Time  0.366251
2021-09-09 07:54:53.323196 : Epoch  4, Batch   2656, Loss  0.833038, Average Loss  0.866728, Time  0.369772
2021-09-09 07:54:55.116343 : Epoch  4, Batch   2657, Loss  0.878191, Average Loss  0.866802, Time  0.357522
2021-09-09 07:54:56.958973 : Epoch  4, Batch   2658, Loss  0.854349, Average Loss  0.866659, Time  0.394936
2021-09-09 07:54:58.777053 : Epoch  4, Batch   2659, Loss  0.860962, Average Loss  0.866677, Time  0.352758
2021-09-09 07:55:00.650561 : Epoch  4, Batch   2660, Loss  0.876827, Average Loss  0.866762, Time  0.350238
2021-09-09 07:55:02.496890 : Epoch  4, Batch   2661, Loss  0.893902, Average Loss  0.866933, Time  0.420697
2021-09-09 07:55:04.312948 : Epoch  4, Batch   2662, Loss  0.866320, Average Loss  0.867037, Time  0.358911
2021-09-09 07:55:06.165264 : Epoch  4, Batch   2663, Loss  0.869081, Average Loss  0.867147, Time  0.373269
2021-09-09 07:55:08.100832 : Epoch  4, Batch   2664, Loss  0.890809, Average Loss  0.867061, Time  0.411080
2021-09-09 07:55:09.976170 : Epoch  4, Batch   2665, Loss  0.887506, Average Loss  0.867140, Time  0.370656
2021-09-09 07:55:11.912228 : Epoch  4, Batch   2666, Loss  0.837098, Average Loss  0.866971, Time  0.421852
2021-09-09 07:55:13.830787 : Epoch  4, Batch   2667, Loss  0.844154, Average Loss  0.867005, Time  0.390392
2021-09-09 08:00:08.327787 : CheckPoint: Validation Loss  0.00060883, Best Loss  0.00056427
2021-09-09 08:00:10.319205 : Epoch  4, Batch   2668, Loss  0.849560, Average Loss  0.866899, Time  0.443963
2021-09-09 08:00:12.285229 : Epoch  4, Batch   2669, Loss  0.875740, Average Loss  0.866859, Time  0.478774
2021-09-09 08:00:14.126275 : Epoch  4, Batch   2670, Loss  0.842926, Average Loss  0.866694, Time  0.380474
2021-09-09 08:00:16.026638 : Epoch  4, Batch   2671, Loss  0.885860, Average Loss  0.866774, Time  0.349439
2021-09-09 08:00:17.947918 : Epoch  4, Batch   2672, Loss  0.877998, Average Loss  0.866868, Time  0.434103
2021-09-09 08:00:19.730959 : Epoch  4, Batch   2673, Loss  0.841536, Average Loss  0.866594, Time  0.353971
2021-09-09 08:00:21.543833 : Epoch  4, Batch   2674, Loss  0.859702, Average Loss  0.866476, Time  0.358684
2021-09-09 08:00:23.514978 : Epoch  4, Batch   2675, Loss  0.908197, Average Loss  0.866725, Time  0.445900
2021-09-09 08:00:25.447825 : Epoch  4, Batch   2676, Loss  0.871489, Average Loss  0.866766, Time  0.413606
2021-09-09 08:00:27.407167 : Epoch  4, Batch   2677, Loss  0.889024, Average Loss  0.866753, Time  0.458686
2021-09-09 08:00:29.324751 : Epoch  4, Batch   2678, Loss  0.857174, Average Loss  0.866728, Time  0.395959
2021-09-09 08:00:31.147003 : Epoch  4, Batch   2679, Loss  0.858436, Average Loss  0.866804, Time  0.363580
2021-09-09 08:00:32.946081 : Epoch  4, Batch   2680, Loss  0.869903, Average Loss  0.866791, Time  0.342482
2021-09-09 08:00:34.720269 : Epoch  4, Batch   2681, Loss  0.851228, Average Loss  0.866876, Time  0.341151
2021-09-09 08:00:36.526872 : Epoch  4, Batch   2682, Loss  0.902259, Average Loss  0.867098, Time  0.388258
2021-09-09 08:00:38.381230 : Epoch  4, Batch   2683, Loss  0.859872, Average Loss  0.867060, Time  0.427858
2021-09-09 08:00:40.148773 : Epoch  4, Batch   2684, Loss  0.850534, Average Loss  0.866885, Time  0.350312
2021-09-09 08:00:41.965142 : Epoch  4, Batch   2685, Loss  0.887890, Average Loss  0.867108, Time  0.377991
2021-09-09 08:00:43.761775 : Epoch  4, Batch   2686, Loss  0.871242, Average Loss  0.867222, Time  0.333384
2021-09-09 08:00:45.557983 : Epoch  4, Batch   2687, Loss  0.867307, Average Loss  0.867244, Time  0.342692
2021-09-09 08:00:47.491799 : Epoch  4, Batch   2688, Loss  0.880420, Average Loss  0.867235, Time  0.410799
2021-09-09 08:00:49.370004 : Epoch  4, Batch   2689, Loss  0.869278, Average Loss  0.867335, Time  0.385778
2021-09-09 08:00:51.222151 : Epoch  4, Batch   2690, Loss  0.915936, Average Loss  0.867752, Time  0.383368
2021-09-09 08:00:53.089359 : Epoch  4, Batch   2691, Loss  0.857297, Average Loss  0.867770, Time  0.403617
2021-09-09 08:00:54.996791 : Epoch  4, Batch   2692, Loss  0.876627, Average Loss  0.867963, Time  0.415317
2021-09-09 08:00:56.858004 : Epoch  4, Batch   2693, Loss  0.869795, Average Loss  0.867908, Time  0.396363
2021-09-09 08:00:58.845854 : Epoch  4, Batch   2694, Loss  0.889445, Average Loss  0.868151, Time  0.389405
2021-09-09 08:01:00.805842 : Epoch  4, Batch   2695, Loss  0.867212, Average Loss  0.868168, Time  0.484424
2021-09-09 08:01:02.688795 : Epoch  4, Batch   2696, Loss  0.874405, Average Loss  0.868167, Time  0.386502
2021-09-09 08:01:04.596262 : Epoch  4, Batch   2697, Loss  0.881161, Average Loss  0.868203, Time  0.400553
2021-09-09 08:01:06.540787 : Epoch  4, Batch   2698, Loss  0.864076, Average Loss  0.868072, Time  0.469905
2021-09-09 08:01:08.411027 : Epoch  4, Batch   2699, Loss  0.851582, Average Loss  0.868022, Time  0.394084
2021-09-09 08:01:10.276138 : Epoch  4, Batch   2700, Loss  0.870817, Average Loss  0.868102, Time  0.412581
2021-09-09 08:01:12.055638 : Epoch  4, Batch   2701, Loss  0.872188, Average Loss  0.868235, Time  0.357591
2021-09-09 08:01:13.906082 : Epoch  4, Batch   2702, Loss  0.871024, Average Loss  0.868358, Time  0.379035
2021-09-09 08:01:15.773714 : Epoch  4, Batch   2703, Loss  0.871544, Average Loss  0.868238, Time  0.408053
2021-09-09 08:01:17.670947 : Epoch  4, Batch   2704, Loss  0.843924, Average Loss  0.868158, Time  0.417678
2021-09-09 08:01:19.573199 : Epoch  4, Batch   2705, Loss  0.837516, Average Loss  0.867954, Time  0.410148
2021-09-09 08:01:21.589753 : Epoch  4, Batch   2706, Loss  0.902102, Average Loss  0.868030, Time  0.373009
2021-09-09 08:01:23.398998 : Epoch  4, Batch   2707, Loss  0.838838, Average Loss  0.867983, Time  0.340731
2021-09-09 08:01:25.248717 : Epoch  4, Batch   2708, Loss  0.847317, Average Loss  0.867881, Time  0.415535
2021-09-09 08:01:27.039065 : Epoch  4, Batch   2709, Loss  0.833967, Average Loss  0.867655, Time  0.350542
2021-09-09 08:01:28.854781 : Epoch  4, Batch   2710, Loss  0.869595, Average Loss  0.867585, Time  0.378093
2021-09-09 08:01:30.683052 : Epoch  4, Batch   2711, Loss  0.872912, Average Loss  0.867652, Time  0.393794
2021-09-09 08:01:32.518829 : Epoch  4, Batch   2712, Loss  0.876735, Average Loss  0.867592, Time  0.387241
2021-09-09 08:01:34.370794 : Epoch  4, Batch   2713, Loss  0.865645, Average Loss  0.867672, Time  0.409624
2021-09-09 08:01:36.157187 : Epoch  4, Batch   2714, Loss  0.877638, Average Loss  0.867774, Time  0.357710
2021-09-09 08:01:38.052382 : Epoch  4, Batch   2715, Loss  0.844088, Average Loss  0.867783, Time  0.367131
2021-09-09 08:01:40.091259 : Epoch  4, Batch   2716, Loss  0.843194, Average Loss  0.867651, Time  0.472573
2021-09-09 08:01:41.890048 : Epoch  4, Batch   2717, Loss  0.881632, Average Loss  0.867660, Time  0.352038
2021-09-09 08:01:43.712788 : Epoch  4, Batch   2718, Loss  0.852173, Average Loss  0.867578, Time  0.361990
2021-09-09 08:01:45.500778 : Epoch  4, Batch   2719, Loss  0.852758, Average Loss  0.867678, Time  0.346820
2021-09-09 08:01:47.392776 : Epoch  4, Batch   2720, Loss  0.850988, Average Loss  0.867601, Time  0.420136
2021-09-09 08:01:49.198100 : Epoch  4, Batch   2721, Loss  0.872728, Average Loss  0.867539, Time  0.375273
2021-09-09 08:01:51.076017 : Epoch  4, Batch   2722, Loss  0.872477, Average Loss  0.867561, Time  0.398050
2021-09-09 08:01:52.886940 : Epoch  4, Batch   2723, Loss  0.880486, Average Loss  0.867479, Time  0.344776
2021-09-09 08:01:54.803795 : Epoch  4, Batch   2724, Loss  0.879222, Average Loss  0.867412, Time  0.408756
2021-09-09 08:01:56.730026 : Epoch  4, Batch   2725, Loss  0.903849, Average Loss  0.867778, Time  0.442647
2021-09-09 08:01:58.623834 : Epoch  4, Batch   2726, Loss  0.880126, Average Loss  0.867814, Time  0.399927
2021-09-09 08:02:00.542860 : Epoch  4, Batch   2727, Loss  0.867471, Average Loss  0.867937, Time  0.436653
2021-09-09 08:02:02.366212 : Epoch  4, Batch   2728, Loss  0.860307, Average Loss  0.867863, Time  0.373394
2021-09-09 08:02:04.146783 : Epoch  4, Batch   2729, Loss  0.879146, Average Loss  0.867944, Time  0.353669
2021-09-09 08:02:05.946796 : Epoch  4, Batch   2730, Loss  0.868637, Average Loss  0.867905, Time  0.345578
2021-09-09 08:02:07.838028 : Epoch  4, Batch   2731, Loss  0.870756, Average Loss  0.867921, Time  0.395313
2021-09-09 08:02:09.702788 : Epoch  4, Batch   2732, Loss  0.880334, Average Loss  0.868068, Time  0.418921
2021-09-09 08:02:11.634855 : Epoch  4, Batch   2733, Loss  0.904609, Average Loss  0.868411, Time  0.355016
2021-09-09 08:02:13.411776 : Epoch  4, Batch   2734, Loss  0.864282, Average Loss  0.868322, Time  0.345554
2021-09-09 08:02:15.199377 : Epoch  4, Batch   2735, Loss  0.850519, Average Loss  0.868388, Time  0.352335
2021-09-09 08:02:16.997822 : Epoch  4, Batch   2736, Loss  0.861909, Average Loss  0.868173, Time  0.347200
2021-09-09 08:02:19.029985 : Epoch  4, Batch   2737, Loss  0.848986, Average Loss  0.868274, Time  0.437852
2021-09-09 08:02:20.924788 : Epoch  4, Batch   2738, Loss  0.870112, Average Loss  0.868327, Time  0.398762
2021-09-09 08:02:22.883232 : Epoch  4, Batch   2739, Loss  0.857897, Average Loss  0.868358, Time  0.419929
2021-09-09 08:02:24.827055 : Epoch  4, Batch   2740, Loss  0.874351, Average Loss  0.868371, Time  0.476490
2021-09-09 08:02:26.693412 : Epoch  4, Batch   2741, Loss  0.847688, Average Loss  0.868191, Time  0.384022
2021-09-09 08:02:28.587332 : Epoch  4, Batch   2742, Loss  0.864362, Average Loss  0.868083, Time  0.407000
2021-09-09 08:02:30.527242 : Epoch  4, Batch   2743, Loss  0.850457, Average Loss  0.867823, Time  0.402725
2021-09-09 08:02:32.409964 : Epoch  4, Batch   2744, Loss  0.890384, Average Loss  0.867865, Time  0.395204
2021-09-09 08:02:34.371086 : Epoch  4, Batch   2745, Loss  0.889752, Average Loss  0.868114, Time  0.474333
2021-09-09 08:02:36.240685 : Epoch  4, Batch   2746, Loss  0.906948, Average Loss  0.868222, Time  0.402476
2021-09-09 08:02:38.068855 : Epoch  4, Batch   2747, Loss  0.865360, Average Loss  0.868177, Time  0.355549
2021-09-09 08:02:39.942822 : Epoch  4, Batch   2748, Loss  0.824277, Average Loss  0.867800, Time  0.394837
2021-09-09 08:02:41.697776 : Epoch  4, Batch   2749, Loss  0.847979, Average Loss  0.867722, Time  0.335559
2021-09-09 08:02:43.572360 : Epoch  4, Batch   2750, Loss  0.891281, Average Loss  0.867856, Time  0.428292
2021-09-09 08:02:45.455787 : Epoch  4, Batch   2751, Loss  0.880224, Average Loss  0.867884, Time  0.391890
2021-09-09 08:02:47.242980 : Epoch  4, Batch   2752, Loss  0.869025, Average Loss  0.867965, Time  0.354364
2021-09-09 08:02:49.235922 : Epoch  4, Batch   2753, Loss  0.872327, Average Loss  0.867904, Time  0.466954
2021-09-09 08:02:51.117798 : Epoch  4, Batch   2754, Loss  0.869668, Average Loss  0.867856, Time  0.366581
2021-09-09 08:02:53.027237 : Epoch  4, Batch   2755, Loss  0.881803, Average Loss  0.868109, Time  0.405739
2021-09-09 08:02:54.975165 : Epoch  4, Batch   2756, Loss  0.873129, Average Loss  0.868036, Time  0.443942
2021-09-09 08:02:56.859126 : Epoch  4, Batch   2757, Loss  0.891091, Average Loss  0.868208, Time  0.382050
2021-09-09 08:02:58.728296 : Epoch  4, Batch   2758, Loss  0.893629, Average Loss  0.868395, Time  0.394199
2021-09-09 08:03:00.682813 : Epoch  4, Batch   2759, Loss  0.864819, Average Loss  0.868425, Time  0.474537
2021-09-09 08:03:02.500786 : Epoch  4, Batch   2760, Loss  0.894161, Average Loss  0.868332, Time  0.383204
2021-09-09 08:03:04.327461 : Epoch  4, Batch   2761, Loss  0.854839, Average Loss  0.868215, Time  0.357100
2021-09-09 08:03:06.191953 : Epoch  4, Batch   2762, Loss  0.855060, Average Loss  0.868166, Time  0.389051
2021-09-09 08:03:08.115194 : Epoch  4, Batch   2763, Loss  0.844984, Average Loss  0.868017, Time  0.394752
2021-09-09 08:03:10.000794 : Epoch  4, Batch   2764, Loss  0.855504, Average Loss  0.868070, Time  0.422237
2021-09-09 08:03:11.883954 : Epoch  4, Batch   2765, Loss  0.871286, Average Loss  0.868067, Time  0.391882
2021-09-09 08:03:13.794509 : Epoch  4, Batch   2766, Loss  0.864070, Average Loss  0.868051, Time  0.415884
2021-09-09 08:03:15.640780 : Epoch  4, Batch   2767, Loss  0.894090, Average Loss  0.868117, Time  0.408297
2021-09-09 08:08:10.097765 : CheckPoint: Validation Loss  0.00061619, Best Loss  0.00056427
2021-09-09 08:08:11.870016 : Epoch  4, Batch   2768, Loss  0.882829, Average Loss  0.868233, Time  0.344969
2021-09-09 08:08:13.649776 : Epoch  4, Batch   2769, Loss  0.861156, Average Loss  0.868274, Time  0.349104
2021-09-09 08:08:15.493789 : Epoch  4, Batch   2770, Loss  0.836418, Average Loss  0.868317, Time  0.408913
2021-09-09 08:08:17.289832 : Epoch  4, Batch   2771, Loss  0.862731, Average Loss  0.868300, Time  0.355541
2021-09-09 08:08:19.140880 : Epoch  4, Batch   2772, Loss  0.871876, Average Loss  0.868332, Time  0.416215
2021-09-09 08:08:20.919014 : Epoch  4, Batch   2773, Loss  0.881652, Average Loss  0.868295, Time  0.349404
2021-09-09 08:08:22.825808 : Epoch  4, Batch   2774, Loss  0.846088, Average Loss  0.868154, Time  0.408049
2021-09-09 08:08:24.612789 : Epoch  4, Batch   2775, Loss  0.869607, Average Loss  0.868140, Time  0.328855
2021-09-09 08:08:26.421958 : Epoch  4, Batch   2776, Loss  0.863102, Average Loss  0.868127, Time  0.390187
2021-09-09 08:08:28.210380 : Epoch  4, Batch   2777, Loss  0.841527, Average Loss  0.867942, Time  0.356823
2021-09-09 08:08:30.037775 : Epoch  4, Batch   2778, Loss  0.872221, Average Loss  0.867859, Time  0.386737
2021-09-09 08:08:31.850802 : Epoch  4, Batch   2779, Loss  0.872987, Average Loss  0.868017, Time  0.389226
2021-09-09 08:08:33.736784 : Epoch  4, Batch   2780, Loss  0.867779, Average Loss  0.868023, Time  0.381728
2021-09-09 08:08:35.632636 : Epoch  4, Batch   2781, Loss  0.866120, Average Loss  0.868104, Time  0.430643
2021-09-09 08:08:37.451492 : Epoch  4, Batch   2782, Loss  0.851841, Average Loss  0.867984, Time  0.360874
2021-09-09 08:08:39.301452 : Epoch  4, Batch   2783, Loss  0.840232, Average Loss  0.867914, Time  0.405283
2021-09-09 08:08:41.148447 : Epoch  4, Batch   2784, Loss  0.863647, Average Loss  0.868018, Time  0.411521
2021-09-09 08:08:42.951857 : Epoch  4, Batch   2785, Loss  0.904979, Average Loss  0.868180, Time  0.351589
2021-09-09 08:08:44.886792 : Epoch  4, Batch   2786, Loss  0.861848, Average Loss  0.868113, Time  0.442013
2021-09-09 08:08:46.777157 : Epoch  4, Batch   2787, Loss  0.826583, Average Loss  0.868065, Time  0.422277
2021-09-09 08:08:48.628198 : Epoch  4, Batch   2788, Loss  0.878048, Average Loss  0.868349, Time  0.352952
2021-09-09 08:08:50.475777 : Epoch  4, Batch   2789, Loss  0.838301, Average Loss  0.868181, Time  0.373662
2021-09-09 08:08:52.433335 : Epoch  4, Batch   2790, Loss  0.849513, Average Loss  0.868070, Time  0.391985
2021-09-09 08:08:54.295793 : Epoch  4, Batch   2791, Loss  0.836668, Average Loss  0.867829, Time  0.381804
2021-09-09 08:08:56.234271 : Epoch  4, Batch   2792, Loss  0.845970, Average Loss  0.867737, Time  0.442700
2021-09-09 08:08:58.104895 : Epoch  4, Batch   2793, Loss  0.863632, Average Loss  0.867819, Time  0.381170
2021-09-09 08:09:00.000221 : Epoch  4, Batch   2794, Loss  0.884404, Average Loss  0.867866, Time  0.402982
2021-09-09 08:09:01.978208 : Epoch  4, Batch   2795, Loss  0.894306, Average Loss  0.868089, Time  0.382887
2021-09-09 08:09:03.866528 : Epoch  4, Batch   2796, Loss  0.885028, Average Loss  0.868054, Time  0.395624
2021-09-09 08:09:05.714532 : Epoch  4, Batch   2797, Loss  0.872552, Average Loss  0.868068, Time  0.387430
2021-09-09 08:09:07.541787 : Epoch  4, Batch   2798, Loss  0.838357, Average Loss  0.867797, Time  0.365183
2021-09-09 08:09:09.335792 : Epoch  4, Batch   2799, Loss  0.882916, Average Loss  0.867906, Time  0.348913
2021-09-09 08:09:11.091785 : Epoch  4, Batch   2800, Loss  0.860783, Average Loss  0.868010, Time  0.342236
2021-09-09 08:09:13.064891 : Epoch  4, Batch   2801, Loss  0.867200, Average Loss  0.867982, Time  0.410599
2021-09-09 08:09:15.001133 : Epoch  4, Batch   2802, Loss  0.903628, Average Loss  0.868150, Time  0.450854
2021-09-09 08:09:16.842172 : Epoch  4, Batch   2803, Loss  0.879931, Average Loss  0.868191, Time  0.357839
2021-09-09 08:09:18.690782 : Epoch  4, Batch   2804, Loss  0.853839, Average Loss  0.868133, Time  0.396813
2021-09-09 08:09:20.490779 : Epoch  4, Batch   2805, Loss  0.920756, Average Loss  0.868349, Time  0.351251
2021-09-09 08:09:22.283836 : Epoch  4, Batch   2806, Loss  0.886176, Average Loss  0.868486, Time  0.360159
2021-09-09 08:09:24.066778 : Epoch  4, Batch   2807, Loss  0.834256, Average Loss  0.868325, Time  0.348084
2021-09-09 08:09:25.854290 : Epoch  4, Batch   2808, Loss  0.860200, Average Loss  0.868333, Time  0.348435
2021-09-09 08:09:27.668290 : Epoch  4, Batch   2809, Loss  0.852707, Average Loss  0.868245, Time  0.350173
2021-09-09 08:09:29.542831 : Epoch  4, Batch   2810, Loss  0.879091, Average Loss  0.868324, Time  0.441986
2021-09-09 08:09:31.450897 : Epoch  4, Batch   2811, Loss  0.867687, Average Loss  0.868463, Time  0.440247
2021-09-09 08:09:33.349787 : Epoch  4, Batch   2812, Loss  0.851158, Average Loss  0.868269, Time  0.398181
2021-09-09 08:09:35.278239 : Epoch  4, Batch   2813, Loss  0.849969, Average Loss  0.868244, Time  0.460015
2021-09-09 08:09:37.161792 : Epoch  4, Batch   2814, Loss  0.851059, Average Loss  0.867993, Time  0.388444
2021-09-09 08:09:38.986791 : Epoch  4, Batch   2815, Loss  0.854793, Average Loss  0.868049, Time  0.356925
2021-09-09 08:09:40.765822 : Epoch  4, Batch   2816, Loss  0.857925, Average Loss  0.868140, Time  0.349080
2021-09-09 08:09:42.639528 : Epoch  4, Batch   2817, Loss  0.840512, Average Loss  0.868099, Time  0.343212
2021-09-09 08:09:44.435772 : Epoch  4, Batch   2818, Loss  0.858392, Average Loss  0.867966, Time  0.341109
2021-09-09 08:09:46.265781 : Epoch  4, Batch   2819, Loss  0.872037, Average Loss  0.868101, Time  0.359162
2021-09-09 08:09:48.048006 : Epoch  4, Batch   2820, Loss  0.862836, Average Loss  0.868111, Time  0.334447
2021-09-09 08:09:49.855401 : Epoch  4, Batch   2821, Loss  0.859103, Average Loss  0.868086, Time  0.331349
2021-09-09 08:09:51.749980 : Epoch  4, Batch   2822, Loss  0.878568, Average Loss  0.868098, Time  0.462480
2021-09-09 08:09:53.598797 : Epoch  4, Batch   2823, Loss  0.904843, Average Loss  0.868298, Time  0.357022
2021-09-09 08:09:55.433304 : Epoch  4, Batch   2824, Loss  0.864282, Average Loss  0.868309, Time  0.383851
2021-09-09 08:09:57.343341 : Epoch  4, Batch   2825, Loss  0.850325, Average Loss  0.868188, Time  0.408000
2021-09-09 08:09:59.140776 : Epoch  4, Batch   2826, Loss  0.878829, Average Loss  0.868323, Time  0.345188
2021-09-09 08:10:00.990822 : Epoch  4, Batch   2827, Loss  0.853358, Average Loss  0.868097, Time  0.397360
2021-09-09 08:10:02.765328 : Epoch  4, Batch   2828, Loss  0.878814, Average Loss  0.868118, Time  0.358633
2021-09-09 08:10:04.631951 : Epoch  4, Batch   2829, Loss  0.900467, Average Loss  0.868370, Time  0.387367
2021-09-09 08:10:06.520786 : Epoch  4, Batch   2830, Loss  0.885633, Average Loss  0.868473, Time  0.395287
2021-09-09 08:10:08.429851 : Epoch  4, Batch   2831, Loss  0.894868, Average Loss  0.868587, Time  0.407835
2021-09-09 08:10:10.350232 : Epoch  4, Batch   2832, Loss  0.887349, Average Loss  0.868558, Time  0.437329
2021-09-09 08:10:12.169823 : Epoch  4, Batch   2833, Loss  0.867781, Average Loss  0.868594, Time  0.360394
2021-09-09 08:10:14.040826 : Epoch  4, Batch   2834, Loss  0.863392, Average Loss  0.868424, Time  0.397144
2021-09-09 08:10:15.940939 : Epoch  4, Batch   2835, Loss  0.891960, Average Loss  0.868467, Time  0.434874
2021-09-09 08:10:17.850131 : Epoch  4, Batch   2836, Loss  0.828925, Average Loss  0.868481, Time  0.395743
2021-09-09 08:10:19.742876 : Epoch  4, Batch   2837, Loss  0.874935, Average Loss  0.868544, Time  0.425556
2021-09-09 08:10:21.578251 : Epoch  4, Batch   2838, Loss  0.859131, Average Loss  0.868438, Time  0.378857
2021-09-09 08:10:23.395783 : Epoch  4, Batch   2839, Loss  0.874472, Average Loss  0.868415, Time  0.345471
2021-09-09 08:10:25.261291 : Epoch  4, Batch   2840, Loss  0.857029, Average Loss  0.868428, Time  0.420633
2021-09-09 08:10:27.034023 : Epoch  4, Batch   2841, Loss  0.865637, Average Loss  0.868360, Time  0.352035
2021-09-09 08:10:28.906536 : Epoch  4, Batch   2842, Loss  0.876126, Average Loss  0.868375, Time  0.402732
2021-09-09 08:10:30.757908 : Epoch  4, Batch   2843, Loss  0.884835, Average Loss  0.868453, Time  0.348814
2021-09-09 08:10:32.717804 : Epoch  4, Batch   2844, Loss  0.872561, Average Loss  0.868371, Time  0.465095
2021-09-09 08:10:34.623234 : Epoch  4, Batch   2845, Loss  0.880018, Average Loss  0.868452, Time  0.412661
2021-09-09 08:10:36.486935 : Epoch  4, Batch   2846, Loss  0.875629, Average Loss  0.868329, Time  0.381049
2021-09-09 08:10:38.265256 : Epoch  4, Batch   2847, Loss  0.863849, Average Loss  0.868275, Time  0.353854
2021-09-09 08:10:40.239049 : Epoch  4, Batch   2848, Loss  0.866193, Average Loss  0.868105, Time  0.466939
2021-09-09 08:10:42.076408 : Epoch  4, Batch   2849, Loss  0.872326, Average Loss  0.868036, Time  0.347622
2021-09-09 08:10:43.859781 : Epoch  4, Batch   2850, Loss  0.869528, Average Loss  0.868048, Time  0.356244
2021-09-09 08:10:45.729972 : Epoch  4, Batch   2851, Loss  0.896222, Average Loss  0.868293, Time  0.423015
2021-09-09 08:10:47.575786 : Epoch  4, Batch   2852, Loss  0.857262, Average Loss  0.868229, Time  0.366907
2021-09-09 08:10:49.433828 : Epoch  4, Batch   2853, Loss  0.882104, Average Loss  0.868185, Time  0.371875
2021-09-09 08:10:51.295779 : Epoch  4, Batch   2854, Loss  0.866611, Average Loss  0.868103, Time  0.403919
2021-09-09 08:10:53.120261 : Epoch  4, Batch   2855, Loss  0.905590, Average Loss  0.868344, Time  0.337004
2021-09-09 08:10:55.032043 : Epoch  4, Batch   2856, Loss  0.838642, Average Loss  0.868372, Time  0.438262
2021-09-09 08:10:56.902793 : Epoch  4, Batch   2857, Loss  0.889823, Average Loss  0.868430, Time  0.390761
2021-09-09 08:10:58.816869 : Epoch  4, Batch   2858, Loss  0.877209, Average Loss  0.868544, Time  0.439587
2021-09-09 08:11:00.726838 : Epoch  4, Batch   2859, Loss  0.905542, Average Loss  0.868767, Time  0.398774
2021-09-09 08:11:02.612790 : Epoch  4, Batch   2860, Loss  0.856252, Average Loss  0.868664, Time  0.402754
2021-09-09 08:11:04.600803 : Epoch  4, Batch   2861, Loss  0.857138, Average Loss  0.868480, Time  0.509819
2021-09-09 08:11:06.461789 : Epoch  4, Batch   2862, Loss  0.878723, Average Loss  0.868542, Time  0.365126
2021-09-09 08:11:08.270858 : Epoch  4, Batch   2863, Loss  0.853705, Average Loss  0.868466, Time  0.359513
2021-09-09 08:11:10.136818 : Epoch  4, Batch   2864, Loss  0.860400, Average Loss  0.868314, Time  0.412343
2021-09-09 08:11:11.932315 : Epoch  4, Batch   2865, Loss  0.882401, Average Loss  0.868288, Time  0.340954
2021-09-09 08:11:13.834052 : Epoch  4, Batch   2866, Loss  0.858482, Average Loss  0.868395, Time  0.407643
2021-09-09 08:11:21.288095 : Epoch  4, Batch   2867, Loss  0.872142, Average Loss  0.868535, Time  0.357321
2021-09-09 08:16:17.532794 : CheckPoint: Validation Loss  0.00058479, Best Loss  0.00056427
2021-09-09 08:16:19.435048 : Epoch  4, Batch   2868, Loss  0.869027, Average Loss  0.868632, Time  0.397655
2021-09-09 08:16:21.323312 : Epoch  4, Batch   2869, Loss  0.860251, Average Loss  0.868555, Time  0.412848
2021-09-09 08:16:23.289791 : Epoch  4, Batch   2870, Loss  0.870359, Average Loss  0.868692, Time  0.395793
2021-09-09 08:16:25.224799 : Epoch  4, Batch   2871, Loss  0.821321, Average Loss  0.868369, Time  0.451730
2021-09-09 08:16:27.178306 : Epoch  4, Batch   2872, Loss  0.888513, Average Loss  0.868422, Time  0.464622
2021-09-09 08:16:29.047801 : Epoch  4, Batch   2873, Loss  0.870891, Average Loss  0.868569, Time  0.391744
2021-09-09 08:16:30.950926 : Epoch  4, Batch   2874, Loss  0.848358, Average Loss  0.868512, Time  0.401878
2021-09-09 08:16:32.864788 : Epoch  4, Batch   2875, Loss  0.834237, Average Loss  0.868142, Time  0.415924
2021-09-09 08:16:34.729884 : Epoch  4, Batch   2876, Loss  0.847602, Average Loss  0.868023, Time  0.393074
2021-09-09 08:16:36.632793 : Epoch  4, Batch   2877, Loss  0.862771, Average Loss  0.867891, Time  0.434087
2021-09-09 08:16:38.526327 : Epoch  4, Batch   2878, Loss  0.907680, Average Loss  0.868144, Time  0.399163
2021-09-09 08:16:40.415218 : Epoch  4, Batch   2879, Loss  0.875998, Average Loss  0.868232, Time  0.395186
2021-09-09 08:16:42.364177 : Epoch  4, Batch   2880, Loss  0.860940, Average Loss  0.868187, Time  0.446189
2021-09-09 08:16:44.233942 : Epoch  4, Batch   2881, Loss  0.899813, Average Loss  0.868430, Time  0.399955
2021-09-09 08:16:46.094793 : Epoch  4, Batch   2882, Loss  0.899692, Average Loss  0.868417, Time  0.393656
2021-09-09 08:16:48.019002 : Epoch  4, Batch   2883, Loss  0.857490, Average Loss  0.868405, Time  0.450239
2021-09-09 08:16:50.007941 : Epoch  4, Batch   2884, Loss  0.867313, Average Loss  0.868489, Time  0.383629
2021-09-09 08:16:51.885649 : Epoch  4, Batch   2885, Loss  0.897843, Average Loss  0.868539, Time  0.400913
2021-09-09 08:16:53.820991 : Epoch  4, Batch   2886, Loss  0.884122, Average Loss  0.868603, Time  0.454885
2021-09-09 08:16:55.698209 : Epoch  4, Batch   2887, Loss  0.871595, Average Loss  0.868625, Time  0.382455
2021-09-09 08:16:57.563824 : Epoch  4, Batch   2888, Loss  0.845626, Average Loss  0.868451, Time  0.394787
2021-09-09 08:16:59.487669 : Epoch  4, Batch   2889, Loss  0.851679, Average Loss  0.868363, Time  0.422880
2021-09-09 08:17:01.368488 : Epoch  4, Batch   2890, Loss  0.878020, Average Loss  0.868173, Time  0.367270
2021-09-09 08:17:03.310964 : Epoch  4, Batch   2891, Loss  0.875031, Average Loss  0.868262, Time  0.398614
2021-09-09 08:17:05.309800 : Epoch  4, Batch   2892, Loss  0.873436, Average Loss  0.868246, Time  0.400102
2021-09-09 08:17:07.173831 : Epoch  4, Batch   2893, Loss  0.838013, Average Loss  0.868087, Time  0.349784
2021-09-09 08:17:09.143781 : Epoch  4, Batch   2894, Loss  0.852614, Average Loss  0.867903, Time  0.357852
2021-09-09 08:17:11.017954 : Epoch  4, Batch   2895, Loss  0.869025, Average Loss  0.867912, Time  0.370597
2021-09-09 08:17:12.973130 : Epoch  4, Batch   2896, Loss  0.858159, Average Loss  0.867831, Time  0.480733
2021-09-09 08:17:14.764255 : Epoch  4, Batch   2897, Loss  0.854050, Average Loss  0.867695, Time  0.359575
2021-09-09 08:17:16.583224 : Epoch  4, Batch   2898, Loss  0.856588, Average Loss  0.867658, Time  0.348150
2021-09-09 08:17:18.373979 : Epoch  4, Batch   2899, Loss  0.890518, Average Loss  0.867852, Time  0.339042
2021-09-09 08:17:20.307273 : Epoch  4, Batch   2900, Loss  0.866728, Average Loss  0.867832, Time  0.406777
2021-09-09 08:17:22.151832 : Epoch  4, Batch   2901, Loss  0.884464, Average Loss  0.867893, Time  0.381887
2021-09-09 08:17:24.073812 : Epoch  4, Batch   2902, Loss  0.842310, Average Loss  0.867750, Time  0.413531
2021-09-09 08:17:26.040154 : Epoch  4, Batch   2903, Loss  0.849475, Average Loss  0.867639, Time  0.470814
2021-09-09 08:17:27.839824 : Epoch  4, Batch   2904, Loss  0.846215, Average Loss  0.867651, Time  0.362107
2021-09-09 08:17:29.640782 : Epoch  4, Batch   2905, Loss  0.866100, Average Loss  0.867794, Time  0.355008
2021-09-09 08:17:31.639791 : Epoch  4, Batch   2906, Loss  0.853379, Average Loss  0.867550, Time  0.431295
2021-09-09 08:17:33.533954 : Epoch  4, Batch   2907, Loss  0.842211, Average Loss  0.867567, Time  0.406003
2021-09-09 08:17:35.446840 : Epoch  4, Batch   2908, Loss  0.861970, Average Loss  0.867640, Time  0.408847
2021-09-09 08:17:37.390792 : Epoch  4, Batch   2909, Loss  0.859763, Average Loss  0.867769, Time  0.453423
2021-09-09 08:17:39.285798 : Epoch  4, Batch   2910, Loss  0.861437, Average Loss  0.867728, Time  0.383844
2021-09-09 08:17:41.186790 : Epoch  4, Batch   2911, Loss  0.868173, Average Loss  0.867705, Time  0.397367
2021-09-09 08:17:43.127871 : Epoch  4, Batch   2912, Loss  0.893747, Average Loss  0.867790, Time  0.454756
2021-09-09 08:17:45.029792 : Epoch  4, Batch   2913, Loss  0.861503, Average Loss  0.867769, Time  0.395069
2021-09-09 08:17:46.927784 : Epoch  4, Batch   2914, Loss  0.880184, Average Loss  0.867782, Time  0.378759
2021-09-09 08:17:48.706995 : Epoch  4, Batch   2915, Loss  0.871356, Average Loss  0.867918, Time  0.343492
2021-09-09 08:17:50.676082 : Epoch  4, Batch   2916, Loss  0.864117, Average Loss  0.868023, Time  0.402202
2021-09-09 08:17:52.631802 : Epoch  4, Batch   2917, Loss  0.848068, Average Loss  0.867855, Time  0.463818
2021-09-09 08:17:54.496960 : Epoch  4, Batch   2918, Loss  0.829100, Average Loss  0.867739, Time  0.387913
2021-09-09 08:17:56.401700 : Epoch  4, Batch   2919, Loss  0.851235, Average Loss  0.867732, Time  0.432270
2021-09-09 08:17:58.218917 : Epoch  4, Batch   2920, Loss  0.872795, Average Loss  0.867841, Time  0.335285
2021-09-09 08:18:00.009170 : Epoch  4, Batch   2921, Loss  0.861535, Average Loss  0.867785, Time  0.354825
2021-09-09 08:18:01.866769 : Epoch  4, Batch   2922, Loss  0.884130, Average Loss  0.867843, Time  0.386003
2021-09-09 08:18:03.680169 : Epoch  4, Batch   2923, Loss  0.863381, Average Loss  0.867758, Time  0.343802
2021-09-09 08:18:05.521826 : Epoch  4, Batch   2924, Loss  0.877701, Average Loss  0.867750, Time  0.381966
2021-09-09 08:18:07.320968 : Epoch  4, Batch   2925, Loss  0.874956, Average Loss  0.867606, Time  0.358501
2021-09-09 08:18:09.088941 : Epoch  4, Batch   2926, Loss  0.879993, Average Loss  0.867605, Time  0.334667
2021-09-09 08:18:11.008704 : Epoch  4, Batch   2927, Loss  0.863527, Average Loss  0.867585, Time  0.443780
2021-09-09 08:18:12.795839 : Epoch  4, Batch   2928, Loss  0.866789, Average Loss  0.867618, Time  0.341346
2021-09-09 08:18:14.664923 : Epoch  4, Batch   2929, Loss  0.888309, Average Loss  0.867663, Time  0.398796
2021-09-09 08:18:16.579277 : Epoch  4, Batch   2930, Loss  0.885917, Average Loss  0.867750, Time  0.388654
2021-09-09 08:18:18.453805 : Epoch  4, Batch   2931, Loss  0.877730, Average Loss  0.867785, Time  0.398959
2021-09-09 08:18:20.421843 : Epoch  4, Batch   2932, Loss  0.836117, Average Loss  0.867564, Time  0.430984
2021-09-09 08:18:22.394787 : Epoch  4, Batch   2933, Loss  0.888800, Average Loss  0.867485, Time  0.394751
2021-09-09 08:18:24.262807 : Epoch  4, Batch   2934, Loss  0.880310, Average Loss  0.867565, Time  0.380819
2021-09-09 08:18:26.127863 : Epoch  4, Batch   2935, Loss  0.865586, Average Loss  0.867640, Time  0.396258
2021-09-09 08:18:27.950781 : Epoch  4, Batch   2936, Loss  0.859900, Average Loss  0.867630, Time  0.348577
2021-09-09 08:18:29.803344 : Epoch  4, Batch   2937, Loss  0.843444, Average Loss  0.867602, Time  0.392532
2021-09-09 08:18:31.608684 : Epoch  4, Batch   2938, Loss  0.896048, Average Loss  0.867732, Time  0.353619
2021-09-09 08:18:33.481790 : Epoch  4, Batch   2939, Loss  0.880693, Average Loss  0.867846, Time  0.394435
2021-09-09 08:18:35.268992 : Epoch  4, Batch   2940, Loss  0.853503, Average Loss  0.867742, Time  0.363910
2021-09-09 08:18:37.099990 : Epoch  4, Batch   2941, Loss  0.903363, Average Loss  0.868020, Time  0.401175
2021-09-09 08:18:39.071139 : Epoch  4, Batch   2942, Loss  0.872436, Average Loss  0.868060, Time  0.491162
2021-09-09 08:18:40.938798 : Epoch  4, Batch   2943, Loss  0.844798, Average Loss  0.868032, Time  0.407568
2021-09-09 08:18:42.836904 : Epoch  4, Batch   2944, Loss  0.845428, Average Loss  0.867807, Time  0.383789
2021-09-09 08:18:44.705822 : Epoch  4, Batch   2945, Loss  0.901602, Average Loss  0.867867, Time  0.382305
2021-09-09 08:18:46.587186 : Epoch  4, Batch   2946, Loss  0.851786, Average Loss  0.867591, Time  0.391940
2021-09-09 08:18:48.459834 : Epoch  4, Batch   2947, Loss  0.887427, Average Loss  0.867701, Time  0.403006
2021-09-09 08:18:50.304305 : Epoch  4, Batch   2948, Loss  0.845521, Average Loss  0.867807, Time  0.361604
2021-09-09 08:18:52.232224 : Epoch  4, Batch   2949, Loss  0.872246, Average Loss  0.867929, Time  0.372981
2021-09-09 08:18:54.207110 : Epoch  4, Batch   2950, Loss  0.857401, Average Loss  0.867759, Time  0.471526
2021-09-09 08:18:56.085841 : Epoch  4, Batch   2951, Loss  0.901891, Average Loss  0.867868, Time  0.381453
2021-09-09 08:18:58.018020 : Epoch  4, Batch   2952, Loss  0.881353, Average Loss  0.867929, Time  0.424686
2021-09-09 08:18:59.871810 : Epoch  4, Batch   2953, Loss  0.871392, Average Loss  0.867925, Time  0.380857
2021-09-09 08:19:01.725792 : Epoch  4, Batch   2954, Loss  0.840299, Average Loss  0.867778, Time  0.383501
2021-09-09 08:19:03.693044 : Epoch  4, Batch   2955, Loss  0.875844, Average Loss  0.867748, Time  0.478065
2021-09-09 08:19:05.671013 : Epoch  4, Batch   2956, Loss  0.886854, Average Loss  0.867817, Time  0.393278
2021-09-09 08:19:07.634423 : Epoch  4, Batch   2957, Loss  0.890445, Average Loss  0.867813, Time  0.394115
2021-09-09 08:19:09.524800 : Epoch  4, Batch   2958, Loss  0.869929, Average Loss  0.867695, Time  0.390172
2021-09-09 08:19:11.421966 : Epoch  4, Batch   2959, Loss  0.886912, Average Loss  0.867805, Time  0.383055
2021-09-09 08:19:13.297212 : Epoch  4, Batch   2960, Loss  0.856742, Average Loss  0.867618, Time  0.389817
2021-09-09 08:19:15.162218 : Epoch  4, Batch   2961, Loss  0.884347, Average Loss  0.867766, Time  0.381981
2021-09-09 08:19:17.050198 : Epoch  4, Batch   2962, Loss  0.855835, Average Loss  0.867770, Time  0.378549
2021-09-09 08:19:18.970772 : Epoch  4, Batch   2963, Loss  0.884067, Average Loss  0.867965, Time  0.436625
2021-09-09 08:19:20.824478 : Epoch  4, Batch   2964, Loss  0.887878, Average Loss  0.868127, Time  0.378783
2021-09-09 08:19:22.721557 : Epoch  4, Batch   2965, Loss  0.889345, Average Loss  0.868217, Time  0.402441
2021-09-09 08:19:24.593123 : Epoch  4, Batch   2966, Loss  0.886818, Average Loss  0.868331, Time  0.393269
2021-09-09 08:19:26.458787 : Epoch  4, Batch   2967, Loss  0.885653, Average Loss  0.868289, Time  0.385087
2021-09-09 08:24:20.460715 : CheckPoint: Validation Loss  0.00059375, Best Loss  0.00056427
2021-09-09 08:24:22.274142 : Epoch  4, Batch   2968, Loss  0.909528, Average Loss  0.868422, Time  0.392303
2021-09-09 08:24:24.128762 : Epoch  4, Batch   2969, Loss  0.857712, Average Loss  0.868405, Time  0.383156
2021-09-09 08:24:26.051366 : Epoch  4, Batch   2970, Loss  0.869901, Average Loss  0.868572, Time  0.450498
2021-09-09 08:24:27.890792 : Epoch  4, Batch   2971, Loss  0.843025, Average Loss  0.868474, Time  0.370089
2021-09-09 08:24:29.739031 : Epoch  4, Batch   2972, Loss  0.853809, Average Loss  0.868384, Time  0.361939
2021-09-09 08:24:31.730292 : Epoch  4, Batch   2973, Loss  0.881105, Average Loss  0.868381, Time  0.463470
2021-09-09 08:24:33.613777 : Epoch  4, Batch   2974, Loss  0.878755, Average Loss  0.868544, Time  0.349139
2021-09-09 08:24:35.400153 : Epoch  4, Batch   2975, Loss  0.836817, Average Loss  0.868380, Time  0.348919
2021-09-09 08:24:37.264878 : Epoch  4, Batch   2976, Loss  0.877104, Average Loss  0.868450, Time  0.411768
2021-09-09 08:24:39.081740 : Epoch  4, Batch   2977, Loss  0.878084, Average Loss  0.868633, Time  0.345920
2021-09-09 08:24:40.878459 : Epoch  4, Batch   2978, Loss  0.885671, Average Loss  0.868700, Time  0.335732
2021-09-09 08:24:42.805448 : Epoch  4, Batch   2979, Loss  0.897859, Average Loss  0.868825, Time  0.486310
2021-09-09 08:24:44.605011 : Epoch  4, Batch   2980, Loss  0.868756, Average Loss  0.868830, Time  0.351324
2021-09-09 08:24:46.443423 : Epoch  4, Batch   2981, Loss  0.842021, Average Loss  0.868709, Time  0.354226
2021-09-09 08:24:48.236691 : Epoch  4, Batch   2982, Loss  0.837501, Average Loss  0.868637, Time  0.340330
2021-09-09 08:24:50.049989 : Epoch  4, Batch   2983, Loss  0.869024, Average Loss  0.868781, Time  0.359304
2021-09-09 08:24:51.892789 : Epoch  4, Batch   2984, Loss  0.897198, Average Loss  0.868949, Time  0.382174
2021-09-09 08:24:53.685664 : Epoch  4, Batch   2985, Loss  0.870974, Average Loss  0.868779, Time  0.356256
2021-09-09 08:24:55.449013 : Epoch  4, Batch   2986, Loss  0.864958, Average Loss  0.868795, Time  0.326434
2021-09-09 08:24:57.332242 : Epoch  4, Batch   2987, Loss  0.872506, Average Loss  0.869024, Time  0.400793
2021-09-09 08:24:59.132533 : Epoch  4, Batch   2988, Loss  0.879177, Average Loss  0.869030, Time  0.330251
2021-09-09 08:25:00.909994 : Epoch  4, Batch   2989, Loss  0.869039, Average Loss  0.869184, Time  0.355595
2021-09-09 08:25:02.702985 : Epoch  4, Batch   2990, Loss  0.839679, Average Loss  0.869134, Time  0.356514
2021-09-09 08:25:04.573789 : Epoch  4, Batch   2991, Loss  0.877023, Average Loss  0.869336, Time  0.405608
2021-09-09 08:25:06.361851 : Epoch  4, Batch   2992, Loss  0.869282, Average Loss  0.869453, Time  0.343658
2021-09-09 08:25:08.186863 : Epoch  4, Batch   2993, Loss  0.866814, Average Loss  0.869469, Time  0.403183
2021-09-09 08:25:10.050786 : Epoch  4, Batch   2994, Loss  0.854939, Average Loss  0.869321, Time  0.387152
2021-09-09 08:25:11.937787 : Epoch  4, Batch   2995, Loss  0.853825, Average Loss  0.869119, Time  0.412208
2021-09-09 08:25:13.934851 : Epoch  4, Batch   2996, Loss  0.864790, Average Loss  0.869018, Time  0.466141
2021-09-09 08:25:15.782931 : Epoch  4, Batch   2997, Loss  0.871470, Average Loss  0.869012, Time  0.393747
2021-09-09 08:25:17.672785 : Epoch  4, Batch   2998, Loss  0.857897, Average Loss  0.869110, Time  0.415189
2021-09-09 08:25:19.541577 : Epoch  4, Batch   2999, Loss  0.857412, Average Loss  0.868982, Time  0.397569
2021-09-09 08:25:21.392139 : Epoch  4, Batch   3000, Loss  0.891487, Average Loss  0.869136, Time  0.371244
2021-09-09 08:25:23.303832 : Epoch  4, Batch   3001, Loss  0.897413, Average Loss  0.869287, Time  0.426876
2021-09-09 08:25:25.158054 : Epoch  4, Batch   3002, Loss  0.856155, Average Loss  0.869050, Time  0.382139
2021-09-09 08:25:27.078813 : Epoch  4, Batch   3003, Loss  0.877959, Average Loss  0.869040, Time  0.420323
2021-09-09 08:25:29.020789 : Epoch  4, Batch   3004, Loss  0.885469, Average Loss  0.869198, Time  0.452273
2021-09-09 08:25:30.905844 : Epoch  4, Batch   3005, Loss  0.873461, Average Loss  0.868961, Time  0.390582
2021-09-09 08:25:32.778980 : Epoch  4, Batch   3006, Loss  0.879599, Average Loss  0.868929, Time  0.406491
2021-09-09 08:25:34.644782 : Epoch  4, Batch   3007, Loss  0.875704, Average Loss  0.869136, Time  0.393615
2021-09-09 08:25:36.541945 : Epoch  4, Batch   3008, Loss  0.884571, Average Loss  0.869258, Time  0.398750
2021-09-09 08:25:38.409263 : Epoch  4, Batch   3009, Loss  0.881325, Average Loss  0.869401, Time  0.397032
2021-09-09 08:25:40.261964 : Epoch  4, Batch   3010, Loss  0.872959, Average Loss  0.869370, Time  0.388255
2021-09-09 08:25:42.155829 : Epoch  4, Batch   3011, Loss  0.880448, Average Loss  0.869434, Time  0.374049
2021-09-09 08:25:43.981811 : Epoch  4, Batch   3012, Loss  0.859598, Average Loss  0.869476, Time  0.359043
2021-09-09 08:25:45.869778 : Epoch  4, Batch   3013, Loss  0.861642, Average Loss  0.869535, Time  0.371399
2021-09-09 08:25:47.733087 : Epoch  4, Batch   3014, Loss  0.881545, Average Loss  0.869687, Time  0.411439
2021-09-09 08:25:49.805793 : Epoch  4, Batch   3015, Loss  0.838615, Average Loss  0.869606, Time  0.428115
2021-09-09 08:25:51.667829 : Epoch  4, Batch   3016, Loss  0.872855, Average Loss  0.869681, Time  0.384750
2021-09-09 08:25:53.694793 : Epoch  4, Batch   3017, Loss  0.858145, Average Loss  0.869769, Time  0.398745
2021-09-09 08:25:55.574489 : Epoch  4, Batch   3018, Loss  0.887293, Average Loss  0.869913, Time  0.397757
2021-09-09 08:25:57.436697 : Epoch  4, Batch   3019, Loss  0.864099, Average Loss  0.869874, Time  0.398232
2021-09-09 08:25:59.224166 : Epoch  4, Batch   3020, Loss  0.867053, Average Loss  0.869895, Time  0.360972
2021-09-09 08:26:01.020008 : Epoch  4, Batch   3021, Loss  0.856325, Average Loss  0.869881, Time  0.356637
2021-09-09 08:26:02.978967 : Epoch  4, Batch   3022, Loss  0.841981, Average Loss  0.869698, Time  0.438192
2021-09-09 08:26:04.905793 : Epoch  4, Batch   3023, Loss  0.903693, Average Loss  0.869692, Time  0.396848
2021-09-09 08:26:06.819393 : Epoch  4, Batch   3024, Loss  0.861674, Average Loss  0.869679, Time  0.442433
2021-09-09 08:26:08.732872 : Epoch  4, Batch   3025, Loss  0.855820, Average Loss  0.869707, Time  0.449207
2021-09-09 08:26:10.592371 : Epoch  4, Batch   3026, Loss  0.878620, Average Loss  0.869706, Time  0.397959
2021-09-09 08:26:12.565945 : Epoch  4, Batch   3027, Loss  0.834445, Average Loss  0.869611, Time  0.485211
2021-09-09 08:26:14.431547 : Epoch  4, Batch   3028, Loss  0.848777, Average Loss  0.869461, Time  0.393818
2021-09-09 08:26:16.270796 : Epoch  4, Batch   3029, Loss  0.846232, Average Loss  0.869190, Time  0.368203
2021-09-09 08:26:18.221863 : Epoch  4, Batch   3030, Loss  0.856129, Average Loss  0.869042, Time  0.470492
2021-09-09 08:26:20.099844 : Epoch  4, Batch   3031, Loss  0.846871, Average Loss  0.868802, Time  0.395012
2021-09-09 08:26:21.964795 : Epoch  4, Batch   3032, Loss  0.840419, Average Loss  0.868567, Time  0.381227
2021-09-09 08:26:23.889394 : Epoch  4, Batch   3033, Loss  0.873315, Average Loss  0.868595, Time  0.451911
2021-09-09 08:26:25.754842 : Epoch  4, Batch   3034, Loss  0.876999, Average Loss  0.868663, Time  0.401175
2021-09-09 08:26:27.620031 : Epoch  4, Batch   3035, Loss  0.853983, Average Loss  0.868473, Time  0.382242
2021-09-09 08:26:29.472908 : Epoch  4, Batch   3036, Loss  0.868900, Average Loss  0.868673, Time  0.372793
2021-09-09 08:26:31.267797 : Epoch  4, Batch   3037, Loss  0.864441, Average Loss  0.868621, Time  0.366308
2021-09-09 08:26:33.165258 : Epoch  4, Batch   3038, Loss  0.878260, Average Loss  0.868716, Time  0.443850
2021-09-09 08:26:35.002877 : Epoch  4, Batch   3039, Loss  0.819091, Average Loss  0.868439, Time  0.377064
2021-09-09 08:26:36.860822 : Epoch  4, Batch   3040, Loss  0.892956, Average Loss  0.868619, Time  0.388519
2021-09-09 08:26:38.727347 : Epoch  4, Batch   3041, Loss  0.877172, Average Loss  0.868677, Time  0.395929
2021-09-09 08:26:40.640789 : Epoch  4, Batch   3042, Loss  0.862682, Average Loss  0.868610, Time  0.425601
2021-09-09 08:26:42.578789 : Epoch  4, Batch   3043, Loss  0.856681, Average Loss  0.868469, Time  0.449168
2021-09-09 08:26:44.441956 : Epoch  4, Batch   3044, Loss  0.871751, Average Loss  0.868465, Time  0.391979
2021-09-09 08:26:46.319786 : Epoch  4, Batch   3045, Loss  0.876708, Average Loss  0.868448, Time  0.400781
2021-09-09 08:26:48.307247 : Epoch  4, Batch   3046, Loss  0.860323, Average Loss  0.868372, Time  0.476947
2021-09-09 08:26:50.268194 : Epoch  4, Batch   3047, Loss  0.865360, Average Loss  0.868379, Time  0.446554
2021-09-09 08:26:52.133111 : Epoch  4, Batch   3048, Loss  0.873368, Average Loss  0.868415, Time  0.399393
2021-09-09 08:26:54.024500 : Epoch  4, Batch   3049, Loss  0.881205, Average Loss  0.868459, Time  0.361507
2021-09-09 08:26:55.911574 : Epoch  4, Batch   3050, Loss  0.844426, Average Loss  0.868334, Time  0.422491
2021-09-09 08:26:57.750831 : Epoch  4, Batch   3051, Loss  0.828858, Average Loss  0.867997, Time  0.364615
2021-09-09 08:26:59.697853 : Epoch  4, Batch   3052, Loss  0.885292, Average Loss  0.868137, Time  0.441007
2021-09-09 08:27:01.572791 : Epoch  4, Batch   3053, Loss  0.896103, Average Loss  0.868207, Time  0.392859
2021-09-09 08:27:03.438038 : Epoch  4, Batch   3054, Loss  0.869199, Average Loss  0.868220, Time  0.400663
2021-09-09 08:27:05.312847 : Epoch  4, Batch   3055, Loss  0.873778, Average Loss  0.868061, Time  0.399087
2021-09-09 08:27:07.184022 : Epoch  4, Batch   3056, Loss  0.832977, Average Loss  0.868033, Time  0.399627
2021-09-09 08:27:09.093801 : Epoch  4, Batch   3057, Loss  0.857294, Average Loss  0.867870, Time  0.373361
2021-09-09 08:27:10.962102 : Epoch  4, Batch   3058, Loss  0.867917, Average Loss  0.867824, Time  0.398356
2021-09-09 08:27:12.885047 : Epoch  4, Batch   3059, Loss  0.909439, Average Loss  0.867843, Time  0.338432
2021-09-09 08:27:14.738834 : Epoch  4, Batch   3060, Loss  0.889887, Average Loss  0.868011, Time  0.347952
2021-09-09 08:27:16.558840 : Epoch  4, Batch   3061, Loss  0.877121, Average Loss  0.868111, Time  0.350080
2021-09-09 08:27:18.359991 : Epoch  4, Batch   3062, Loss  0.872180, Average Loss  0.868079, Time  0.356716
2021-09-09 08:27:20.217805 : Epoch  4, Batch   3063, Loss  0.862050, Average Loss  0.868120, Time  0.366319
2021-09-09 08:27:22.164010 : Epoch  4, Batch   3064, Loss  0.870549, Average Loss  0.868171, Time  0.462230
2021-09-09 08:27:24.049793 : Epoch  4, Batch   3065, Loss  0.880005, Average Loss  0.868159, Time  0.392278
2021-09-09 08:27:25.939841 : Epoch  4, Batch   3066, Loss  0.857011, Average Loss  0.868152, Time  0.397948
2021-09-09 08:27:27.718497 : Epoch  4, Batch   3067, Loss  0.884629, Average Loss  0.868214, Time  0.347658
2021-09-09 08:32:21.728723 : CheckPoint: Validation Loss  0.00058468, Best Loss  0.00056427
2021-09-09 08:32:23.625803 : Epoch  4, Batch   3068, Loss  0.867892, Average Loss  0.868208, Time  0.463199
2021-09-09 08:32:25.519797 : Epoch  4, Batch   3069, Loss  0.882460, Average Loss  0.868320, Time  0.396586
2021-09-09 08:32:27.395788 : Epoch  4, Batch   3070, Loss  0.886019, Average Loss  0.868398, Time  0.359165
2021-09-09 08:32:29.385770 : Epoch  4, Batch   3071, Loss  0.874153, Average Loss  0.868662, Time  0.485623
2021-09-09 08:32:31.301759 : Epoch  4, Batch   3072, Loss  0.889536, Average Loss  0.868667, Time  0.389143
2021-09-09 08:32:33.190228 : Epoch  4, Batch   3073, Loss  0.870372, Average Loss  0.868664, Time  0.398168
2021-09-09 08:32:35.018969 : Epoch  4, Batch   3074, Loss  0.878465, Average Loss  0.868815, Time  0.390451
2021-09-09 08:32:36.841236 : Epoch  4, Batch   3075, Loss  0.901007, Average Loss  0.869149, Time  0.359193
2021-09-09 08:32:38.696110 : Epoch  4, Batch   3076, Loss  0.841496, Average Loss  0.869118, Time  0.415339
2021-09-09 08:32:40.654938 : Epoch  4, Batch   3077, Loss  0.880832, Average Loss  0.869209, Time  0.397796
2021-09-09 08:32:42.484362 : Epoch  4, Batch   3078, Loss  0.872416, Average Loss  0.869032, Time  0.340195
2021-09-09 08:32:44.396964 : Epoch  4, Batch   3079, Loss  0.886251, Average Loss  0.869084, Time  0.471887
2021-09-09 08:32:46.224353 : Epoch  4, Batch   3080, Loss  0.877909, Average Loss  0.869168, Time  0.344979
2021-09-09 08:32:48.120874 : Epoch  4, Batch   3081, Loss  0.871328, Average Loss  0.869026, Time  0.396531
2021-09-09 08:32:49.956094 : Epoch  4, Batch   3082, Loss  0.866344, Average Loss  0.868859, Time  0.409458
2021-09-09 08:32:51.756158 : Epoch  4, Batch   3083, Loss  0.866626, Average Loss  0.868905, Time  0.348218
2021-09-09 08:32:53.723591 : Epoch  4, Batch   3084, Loss  0.861068, Average Loss  0.868874, Time  0.462605
2021-09-09 08:32:55.681476 : Epoch  4, Batch   3085, Loss  0.909554, Average Loss  0.868932, Time  0.458638
2021-09-09 08:32:57.532307 : Epoch  4, Batch   3086, Loss  0.860671, Average Loss  0.868815, Time  0.365279
2021-09-09 08:32:59.332931 : Epoch  4, Batch   3087, Loss  0.872758, Average Loss  0.868821, Time  0.371212
2021-09-09 08:33:01.121776 : Epoch  4, Batch   3088, Loss  0.876876, Average Loss  0.868977, Time  0.353570
2021-09-09 08:33:02.903499 : Epoch  4, Batch   3089, Loss  0.866041, Average Loss  0.869049, Time  0.352384
2021-09-09 08:33:04.948838 : Epoch  4, Batch   3090, Loss  0.876373, Average Loss  0.869041, Time  0.486393
2021-09-09 08:33:06.854909 : Epoch  4, Batch   3091, Loss  0.866285, Average Loss  0.868997, Time  0.395393
2021-09-09 08:33:08.744951 : Epoch  4, Batch   3092, Loss  0.848170, Average Loss  0.868871, Time  0.399130
2021-09-09 08:33:10.627772 : Epoch  4, Batch   3093, Loss  0.881734, Average Loss  0.869089, Time  0.428621
2021-09-09 08:33:12.426457 : Epoch  4, Batch   3094, Loss  0.852530, Average Loss  0.869089, Time  0.358654
2021-09-09 08:33:14.269790 : Epoch  4, Batch   3095, Loss  0.873348, Average Loss  0.869110, Time  0.393185
2021-09-09 08:33:16.051248 : Epoch  4, Batch   3096, Loss  0.872455, Average Loss  0.869182, Time  0.342588
2021-09-09 08:33:17.940145 : Epoch  4, Batch   3097, Loss  0.855823, Average Loss  0.869191, Time  0.336769
2021-09-09 08:33:19.869058 : Epoch  4, Batch   3098, Loss  0.857544, Average Loss  0.869196, Time  0.420984
2021-09-09 08:33:21.661370 : Epoch  4, Batch   3099, Loss  0.861579, Average Loss  0.869051, Time  0.331105
2021-09-09 08:33:23.584451 : Epoch  4, Batch   3100, Loss  0.892058, Average Loss  0.869177, Time  0.421262
2021-09-09 08:33:25.407114 : Epoch  4, Batch   3101, Loss  0.891032, Average Loss  0.869210, Time  0.358828
2021-09-09 08:33:27.223954 : Epoch  4, Batch   3102, Loss  0.892847, Average Loss  0.869463, Time  0.404831
2021-09-09 08:33:29.143152 : Epoch  4, Batch   3103, Loss  0.860078, Average Loss  0.869516, Time  0.425658
2021-09-09 08:33:30.946822 : Epoch  4, Batch   3104, Loss  0.838911, Average Loss  0.869480, Time  0.361372
2021-09-09 08:33:32.726779 : Epoch  4, Batch   3105, Loss  0.882116, Average Loss  0.869560, Time  0.353802
2021-09-09 08:33:34.566496 : Epoch  4, Batch   3106, Loss  0.853016, Average Loss  0.869558, Time  0.367890
2021-09-09 08:33:36.506002 : Epoch  4, Batch   3107, Loss  0.863754, Average Loss  0.869665, Time  0.358001
2021-09-09 08:33:38.414302 : Epoch  4, Batch   3108, Loss  0.861300, Average Loss  0.869662, Time  0.444996
2021-09-09 08:33:40.403842 : Epoch  4, Batch   3109, Loss  0.873587, Average Loss  0.869731, Time  0.399225
2021-09-09 08:33:42.262792 : Epoch  4, Batch   3110, Loss  0.876991, Average Loss  0.869809, Time  0.346551
2021-09-09 08:33:44.071949 : Epoch  4, Batch   3111, Loss  0.871617, Average Loss  0.869826, Time  0.394998
2021-09-09 08:33:45.914380 : Epoch  4, Batch   3112, Loss  0.886663, Average Loss  0.869791, Time  0.355585
2021-09-09 08:33:47.780407 : Epoch  4, Batch   3113, Loss  0.846818, Average Loss  0.869717, Time  0.400023
2021-09-09 08:33:49.572553 : Epoch  4, Batch   3114, Loss  0.848702, Average Loss  0.869560, Time  0.355701
2021-09-09 08:33:51.443003 : Epoch  4, Batch   3115, Loss  0.836588, Average Loss  0.869386, Time  0.367024
2021-09-09 08:33:53.261448 : Epoch  4, Batch   3116, Loss  0.880618, Average Loss  0.869469, Time  0.380577
2021-09-09 08:33:55.069043 : Epoch  4, Batch   3117, Loss  0.868178, Average Loss  0.869569, Time  0.352826
2021-09-09 08:33:56.992005 : Epoch  4, Batch   3118, Loss  0.887309, Average Loss  0.869860, Time  0.365348
2021-09-09 08:33:58.879293 : Epoch  4, Batch   3119, Loss  0.881138, Average Loss  0.870010, Time  0.441831
2021-09-09 08:34:00.766934 : Epoch  4, Batch   3120, Loss  0.838314, Average Loss  0.869837, Time  0.382079
2021-09-09 08:34:02.719509 : Epoch  4, Batch   3121, Loss  0.879826, Average Loss  0.869929, Time  0.441818
2021-09-09 08:34:04.587007 : Epoch  4, Batch   3122, Loss  0.887981, Average Loss  0.869948, Time  0.404161
2021-09-09 08:34:06.427911 : Epoch  4, Batch   3123, Loss  0.892865, Average Loss  0.870096, Time  0.377160
2021-09-09 08:34:08.405788 : Epoch  4, Batch   3124, Loss  0.895880, Average Loss  0.870186, Time  0.475381
2021-09-09 08:34:10.247407 : Epoch  4, Batch   3125, Loss  0.838021, Average Loss  0.870002, Time  0.373831
2021-09-09 08:34:12.109534 : Epoch  4, Batch   3126, Loss  0.865871, Average Loss  0.869931, Time  0.389565
2021-09-09 08:34:14.067589 : Epoch  4, Batch   3127, Loss  0.855934, Average Loss  0.869893, Time  0.483572
2021-09-09 08:34:15.936906 : Epoch  4, Batch   3128, Loss  0.894309, Average Loss  0.870031, Time  0.393665
2021-09-09 08:34:17.788950 : Epoch  4, Batch   3129, Loss  0.864436, Average Loss  0.869911, Time  0.383903
2021-09-09 08:34:19.726938 : Epoch  4, Batch   3130, Loss  0.861669, Average Loss  0.869790, Time  0.457464
2021-09-09 08:34:21.600210 : Epoch  4, Batch   3131, Loss  0.869395, Average Loss  0.869748, Time  0.388630
2021-09-09 08:34:23.549264 : Epoch  4, Batch   3132, Loss  0.862788, Average Loss  0.869882, Time  0.460217
2021-09-09 08:34:25.422909 : Epoch  4, Batch   3133, Loss  0.856069, Average Loss  0.869718, Time  0.386071
2021-09-09 08:34:27.282971 : Epoch  4, Batch   3134, Loss  0.856679, Average Loss  0.869600, Time  0.392543
2021-09-09 08:34:29.152748 : Epoch  4, Batch   3135, Loss  0.904480, Average Loss  0.869794, Time  0.363621
2021-09-09 08:34:31.016396 : Epoch  4, Batch   3136, Loss  0.865862, Average Loss  0.869824, Time  0.393303
2021-09-09 08:34:32.952301 : Epoch  4, Batch   3137, Loss  0.868736, Average Loss  0.869951, Time  0.451980
2021-09-09 08:34:34.803709 : Epoch  4, Batch   3138, Loss  0.875797, Average Loss  0.869850, Time  0.379938
2021-09-09 08:34:36.675798 : Epoch  4, Batch   3139, Loss  0.878358, Average Loss  0.869838, Time  0.398129
2021-09-09 08:34:38.739097 : Epoch  4, Batch   3140, Loss  0.864114, Average Loss  0.869891, Time  0.482365
2021-09-09 08:34:40.692922 : Epoch  4, Batch   3141, Loss  0.879391, Average Loss  0.869771, Time  0.402736
2021-09-09 08:34:42.584981 : Epoch  4, Batch   3142, Loss  0.888514, Average Loss  0.869851, Time  0.382062
2021-09-09 08:34:44.515981 : Epoch  4, Batch   3143, Loss  0.840082, Average Loss  0.869828, Time  0.423563
2021-09-09 08:34:46.412780 : Epoch  4, Batch   3144, Loss  0.841301, Average Loss  0.869807, Time  0.407895
2021-09-09 08:34:48.295383 : Epoch  4, Batch   3145, Loss  0.861172, Average Loss  0.869605, Time  0.403675
2021-09-09 08:34:50.210269 : Epoch  4, Batch   3146, Loss  0.835905, Average Loss  0.869526, Time  0.453999
2021-09-09 08:34:52.042779 : Epoch  4, Batch   3147, Loss  0.872345, Average Loss  0.869450, Time  0.375228
2021-09-09 08:34:53.935271 : Epoch  4, Batch   3148, Loss  0.847930, Average Loss  0.869462, Time  0.400429
2021-09-09 08:34:55.728819 : Epoch  4, Batch   3149, Loss  0.869006, Average Loss  0.869446, Time  0.360450
2021-09-09 08:34:57.505786 : Epoch  4, Batch   3150, Loss  0.890771, Average Loss  0.869613, Time  0.353091
2021-09-09 08:34:59.410483 : Epoch  4, Batch   3151, Loss  0.858220, Average Loss  0.869395, Time  0.427054
2021-09-09 08:35:01.232820 : Epoch  4, Batch   3152, Loss  0.875588, Average Loss  0.869366, Time  0.385587
2021-09-09 08:35:03.108163 : Epoch  4, Batch   3153, Loss  0.866858, Average Loss  0.869343, Time  0.408122
2021-09-09 08:35:04.968946 : Epoch  4, Batch   3154, Loss  0.866248, Average Loss  0.869473, Time  0.379638
2021-09-09 08:35:06.740785 : Epoch  4, Batch   3155, Loss  0.868869, Average Loss  0.869438, Time  0.336555
2021-09-09 08:35:08.619957 : Epoch  4, Batch   3156, Loss  0.860797, Average Loss  0.869308, Time  0.457385
2021-09-09 08:35:10.440780 : Epoch  4, Batch   3157, Loss  0.869103, Average Loss  0.869201, Time  0.346488
2021-09-09 08:35:12.242950 : Epoch  4, Batch   3158, Loss  0.882075, Average Loss  0.869262, Time  0.351218
2021-09-09 08:35:14.066433 : Epoch  4, Batch   3159, Loss  0.866024, Average Loss  0.869157, Time  0.360554
2021-09-09 08:35:15.935973 : Epoch  4, Batch   3160, Loss  0.880222, Average Loss  0.869275, Time  0.400665
2021-09-09 08:35:17.840779 : Epoch  4, Batch   3161, Loss  0.851148, Average Loss  0.869109, Time  0.429740
2021-09-09 08:35:19.659509 : Epoch  4, Batch   3162, Loss  0.836977, Average Loss  0.869014, Time  0.355184
2021-09-09 08:35:21.440947 : Epoch  4, Batch   3163, Loss  0.872018, Average Loss  0.868954, Time  0.343020
2021-09-09 08:35:23.317495 : Epoch  4, Batch   3164, Loss  0.844388, Average Loss  0.868737, Time  0.460396
2021-09-09 08:35:25.279823 : Epoch  4, Batch   3165, Loss  0.879793, Average Loss  0.868689, Time  0.397783
2021-09-09 08:35:27.159839 : Epoch  4, Batch   3166, Loss  0.854919, Average Loss  0.868529, Time  0.393085
2021-09-09 08:35:29.031823 : Epoch  4, Batch   3167, Loss  0.861218, Average Loss  0.868407, Time  0.408892
2021-09-09 08:40:22.876727 : CheckPoint: Validation Loss  0.00060200, Best Loss  0.00056427
2021-09-09 08:40:24.702781 : Epoch  4, Batch   3168, Loss  0.887965, Average Loss  0.868299, Time  0.403705
2021-09-09 08:40:26.493783 : Epoch  4, Batch   3169, Loss  0.870003, Average Loss  0.868361, Time  0.349711
2021-09-09 08:40:28.292182 : Epoch  4, Batch   3170, Loss  0.845190, Average Loss  0.868237, Time  0.358032
2021-09-09 08:40:30.135789 : Epoch  4, Batch   3171, Loss  0.872088, Average Loss  0.868383, Time  0.411083
2021-09-09 08:40:31.916783 : Epoch  4, Batch   3172, Loss  0.883389, Average Loss  0.868531, Time  0.349867
2021-09-09 08:40:33.736217 : Epoch  4, Batch   3173, Loss  0.846423, Average Loss  0.868357, Time  0.377531
2021-09-09 08:40:35.511785 : Epoch  4, Batch   3174, Loss  0.920347, Average Loss  0.868565, Time  0.354361
2021-09-09 08:40:37.291818 : Epoch  4, Batch   3175, Loss  0.877384, Average Loss  0.868768, Time  0.356539
2021-09-09 08:40:39.078778 : Epoch  4, Batch   3176, Loss  0.867426, Average Loss  0.868720, Time  0.349034
2021-09-09 08:40:40.863330 : Epoch  4, Batch   3177, Loss  0.893561, Average Loss  0.868797, Time  0.354960
2021-09-09 08:40:42.731090 : Epoch  4, Batch   3178, Loss  0.870150, Average Loss  0.868719, Time  0.450650
2021-09-09 08:40:44.540053 : Epoch  4, Batch   3179, Loss  0.861890, Average Loss  0.868539, Time  0.345532
2021-09-09 08:40:46.378784 : Epoch  4, Batch   3180, Loss  0.873865, Average Loss  0.868565, Time  0.396416
2021-09-09 08:40:48.207735 : Epoch  4, Batch   3181, Loss  0.871561, Average Loss  0.868713, Time  0.359267
2021-09-09 08:40:50.105260 : Epoch  4, Batch   3182, Loss  0.897057, Average Loss  0.869010, Time  0.383512
2021-09-09 08:40:51.907939 : Epoch  4, Batch   3183, Loss  0.863312, Average Loss  0.868982, Time  0.357605
2021-09-09 08:40:53.759948 : Epoch  4, Batch   3184, Loss  0.872387, Average Loss  0.868858, Time  0.419549
2021-09-09 08:40:55.541752 : Epoch  4, Batch   3185, Loss  0.881964, Average Loss  0.868913, Time  0.354317
2021-09-09 08:40:57.355791 : Epoch  4, Batch   3186, Loss  0.858802, Average Loss  0.868882, Time  0.344777
2021-09-09 08:40:59.216862 : Epoch  4, Batch   3187, Loss  0.849128, Average Loss  0.868765, Time  0.411569
2021-09-09 08:41:01.031835 : Epoch  4, Batch   3188, Loss  0.853789, Average Loss  0.868638, Time  0.357533
2021-09-09 08:41:02.911819 : Epoch  4, Batch   3189, Loss  0.868025, Average Loss  0.868633, Time  0.441895
2021-09-09 08:41:04.679370 : Epoch  4, Batch   3190, Loss  0.840971, Average Loss  0.868640, Time  0.324965
2021-09-09 08:41:06.553203 : Epoch  4, Batch   3191, Loss  0.876389, Average Loss  0.868636, Time  0.383844
2021-09-09 08:41:08.399834 : Epoch  4, Batch   3192, Loss  0.873930, Average Loss  0.868660, Time  0.428252
2021-09-09 08:41:10.294987 : Epoch  4, Batch   3193, Loss  0.889350, Average Loss  0.868772, Time  0.400916
2021-09-09 08:41:12.079435 : Epoch  4, Batch   3194, Loss  0.878366, Average Loss  0.868889, Time  0.364814
2021-09-09 08:41:13.880972 : Epoch  4, Batch   3195, Loss  0.860146, Average Loss  0.868921, Time  0.381247
2021-09-09 08:41:15.711961 : Epoch  4, Batch   3196, Loss  0.850648, Average Loss  0.868850, Time  0.345872
2021-09-09 08:41:17.552814 : Epoch  4, Batch   3197, Loss  0.855607, Average Loss  0.868771, Time  0.386079
2021-09-09 08:41:19.291120 : Epoch  4, Batch   3198, Loss  0.876411, Average Loss  0.868864, Time  0.323028
2021-09-09 08:41:21.075929 : Epoch  4, Batch   3199, Loss  0.866004, Average Loss  0.868907, Time  0.347664
2021-09-09 08:41:23.014990 : Epoch  4, Batch   3200, Loss  0.864786, Average Loss  0.868773, Time  0.431860
2021-09-09 08:41:24.833778 : Epoch  4, Batch   3201, Loss  0.866625, Average Loss  0.868619, Time  0.355877
2021-09-09 08:41:26.639919 : Epoch  4, Batch   3202, Loss  0.860876, Average Loss  0.868643, Time  0.338475
2021-09-09 08:41:28.427819 : Epoch  4, Batch   3203, Loss  0.868210, Average Loss  0.868594, Time  0.343478
2021-09-09 08:41:30.214181 : Epoch  4, Batch   3204, Loss  0.850499, Average Loss  0.868419, Time  0.357764
2021-09-09 08:41:32.035890 : Epoch  4, Batch   3205, Loss  0.891271, Average Loss  0.868508, Time  0.380287
2021-09-09 08:41:33.974853 : Epoch  4, Batch   3206, Loss  0.865685, Average Loss  0.868439, Time  0.466692
2021-09-09 08:41:35.874841 : Epoch  4, Batch   3207, Loss  0.874975, Average Loss  0.868435, Time  0.394135
2021-09-09 08:41:37.814474 : Epoch  4, Batch   3208, Loss  0.859215, Average Loss  0.868308, Time  0.477453
2021-09-09 08:41:39.625167 : Epoch  4, Batch   3209, Loss  0.860867, Average Loss  0.868206, Time  0.349968
2021-09-09 08:41:41.463774 : Epoch  4, Batch   3210, Loss  0.859221, Average Loss  0.868137, Time  0.401002
2021-09-09 08:41:43.315778 : Epoch  4, Batch   3211, Loss  0.858243, Average Loss  0.868026, Time  0.417091
2021-09-09 08:41:45.238373 : Epoch  4, Batch   3212, Loss  0.908294, Average Loss  0.868270, Time  0.351426
2021-09-09 08:41:47.058784 : Epoch  4, Batch   3213, Loss  0.883910, Average Loss  0.868381, Time  0.405501
2021-09-09 08:41:48.816011 : Epoch  4, Batch   3214, Loss  0.864019, Average Loss  0.868293, Time  0.343184
2021-09-09 08:41:50.612303 : Epoch  4, Batch   3215, Loss  0.876935, Average Loss  0.868485, Time  0.345478
2021-09-09 08:41:52.582793 : Epoch  4, Batch   3216, Loss  0.856703, Average Loss  0.868404, Time  0.501786
2021-09-09 08:41:54.421854 : Epoch  4, Batch   3217, Loss  0.878034, Average Loss  0.868504, Time  0.371492
2021-09-09 08:41:56.280875 : Epoch  4, Batch   3218, Loss  0.859334, Average Loss  0.868364, Time  0.369347
2021-09-09 08:41:58.125464 : Epoch  4, Batch   3219, Loss  0.879430, Average Loss  0.868441, Time  0.397468
2021-09-09 08:41:59.904791 : Epoch  4, Batch   3220, Loss  0.843785, Average Loss  0.868324, Time  0.359752
2021-09-09 08:42:01.802842 : Epoch  4, Batch   3221, Loss  0.854075, Average Loss  0.868313, Time  0.397535
2021-09-09 08:42:03.694957 : Epoch  4, Batch   3222, Loss  0.857050, Average Loss  0.868388, Time  0.413873
2021-09-09 08:42:05.483856 : Epoch  4, Batch   3223, Loss  0.861634, Average Loss  0.868178, Time  0.352642
2021-09-09 08:42:07.308664 : Epoch  4, Batch   3224, Loss  0.854992, Average Loss  0.868145, Time  0.357327
2021-09-09 08:42:09.228415 : Epoch  4, Batch   3225, Loss  0.870846, Average Loss  0.868220, Time  0.380006
2021-09-09 08:42:11.101277 : Epoch  4, Batch   3226, Loss  0.873204, Average Loss  0.868193, Time  0.392697
2021-09-09 08:42:13.046789 : Epoch  4, Batch   3227, Loss  0.850376, Average Loss  0.868272, Time  0.471794
2021-09-09 08:42:14.924988 : Epoch  4, Batch   3228, Loss  0.892397, Average Loss  0.868490, Time  0.378197
2021-09-09 08:42:16.805954 : Epoch  4, Batch   3229, Loss  0.900429, Average Loss  0.868761, Time  0.398976
2021-09-09 08:42:18.693203 : Epoch  4, Batch   3230, Loss  0.848658, Average Loss  0.868724, Time  0.394263
2021-09-09 08:42:20.564732 : Epoch  4, Batch   3231, Loss  0.867829, Average Loss  0.868829, Time  0.391511
2021-09-09 08:42:22.532093 : Epoch  4, Batch   3232, Loss  0.895872, Average Loss  0.869106, Time  0.484827
2021-09-09 08:42:24.434100 : Epoch  4, Batch   3233, Loss  0.859764, Average Loss  0.869038, Time  0.397766
2021-09-09 08:42:26.309089 : Epoch  4, Batch   3234, Loss  0.857410, Average Loss  0.868940, Time  0.395781
2021-09-09 08:42:28.216905 : Epoch  4, Batch   3235, Loss  0.874785, Average Loss  0.869044, Time  0.431215
2021-09-09 08:42:30.086006 : Epoch  4, Batch   3236, Loss  0.872090, Average Loss  0.869060, Time  0.371486
2021-09-09 08:42:31.968945 : Epoch  4, Batch   3237, Loss  0.866110, Average Loss  0.869069, Time  0.397504
2021-09-09 08:42:33.907785 : Epoch  4, Batch   3238, Loss  0.859332, Average Loss  0.868974, Time  0.450863
2021-09-09 08:42:35.803799 : Epoch  4, Batch   3239, Loss  0.859380, Average Loss  0.869175, Time  0.391312
2021-09-09 08:42:37.720803 : Epoch  4, Batch   3240, Loss  0.858238, Average Loss  0.869002, Time  0.392832
2021-09-09 08:42:39.626882 : Epoch  4, Batch   3241, Loss  0.858640, Average Loss  0.868909, Time  0.435571
2021-09-09 08:42:41.505307 : Epoch  4, Batch   3242, Loss  0.846649, Average Loss  0.868829, Time  0.401616
2021-09-09 08:42:43.390028 : Epoch  4, Batch   3243, Loss  0.869371, Average Loss  0.868893, Time  0.399027
2021-09-09 08:42:45.368587 : Epoch  4, Batch   3244, Loss  0.875400, Average Loss  0.868911, Time  0.491126
2021-09-09 08:42:47.240074 : Epoch  4, Batch   3245, Loss  0.888946, Average Loss  0.868972, Time  0.397290
2021-09-09 08:42:49.211492 : Epoch  4, Batch   3246, Loss  0.864425, Average Loss  0.868992, Time  0.466269
2021-09-09 08:42:51.082893 : Epoch  4, Batch   3247, Loss  0.884317, Average Loss  0.869087, Time  0.394075
2021-09-09 08:42:52.933810 : Epoch  4, Batch   3248, Loss  0.891611, Average Loss  0.869178, Time  0.387801
2021-09-09 08:42:54.948698 : Epoch  4, Batch   3249, Loss  0.859466, Average Loss  0.869070, Time  0.424449
2021-09-09 08:42:56.848924 : Epoch  4, Batch   3250, Loss  0.885596, Average Loss  0.869276, Time  0.397075
2021-09-09 08:42:58.783870 : Epoch  4, Batch   3251, Loss  0.867689, Average Loss  0.869470, Time  0.398548
2021-09-09 08:43:00.640480 : Epoch  4, Batch   3252, Loss  0.854863, Average Loss  0.869318, Time  0.408358
2021-09-09 08:43:02.520835 : Epoch  4, Batch   3253, Loss  0.864178, Average Loss  0.869158, Time  0.386040
2021-09-09 08:43:04.373880 : Epoch  4, Batch   3254, Loss  0.842608, Average Loss  0.869025, Time  0.380726
2021-09-09 08:43:06.272033 : Epoch  4, Batch   3255, Loss  0.876336, Average Loss  0.869038, Time  0.402044
2021-09-09 08:43:08.147861 : Epoch  4, Batch   3256, Loss  0.883409, Average Loss  0.869290, Time  0.397806
2021-09-09 08:43:10.097512 : Epoch  4, Batch   3257, Loss  0.889362, Average Loss  0.869450, Time  0.448714
2021-09-09 08:43:11.983790 : Epoch  4, Batch   3258, Loss  0.850423, Average Loss  0.869363, Time  0.411458
2021-09-09 08:43:13.843348 : Epoch  4, Batch   3259, Loss  0.869429, Average Loss  0.869163, Time  0.396214
2021-09-09 08:43:15.770303 : Epoch  4, Batch   3260, Loss  0.884438, Average Loss  0.869136, Time  0.422512
2021-09-09 08:43:17.702250 : Epoch  4, Batch   3261, Loss  0.868816, Average Loss  0.869094, Time  0.404358
2021-09-09 08:43:19.559362 : Epoch  4, Batch   3262, Loss  0.887032, Average Loss  0.869168, Time  0.396110
2021-09-09 08:43:21.437796 : Epoch  4, Batch   3263, Loss  0.862538, Average Loss  0.869171, Time  0.395475
2021-09-09 08:43:23.391365 : Epoch  4, Batch   3264, Loss  0.906291, Average Loss  0.869349, Time  0.460402
2021-09-09 08:43:25.271208 : Epoch  4, Batch   3265, Loss  0.876595, Average Loss  0.869332, Time  0.387639
2021-09-09 08:43:27.155321 : Epoch  4, Batch   3266, Loss  0.896448, Average Loss  0.869530, Time  0.410317
2021-09-09 08:43:29.033970 : Epoch  4, Batch   3267, Loss  0.900460, Average Loss  0.869609, Time  0.382863
2021-09-09 08:48:25.321712 : CheckPoint: Validation Loss  0.00061930, Best Loss  0.00056427
2021-09-09 08:48:27.141878 : Epoch  4, Batch   3268, Loss  0.845461, Average Loss  0.869497, Time  0.346834
2021-09-09 08:48:28.999071 : Epoch  4, Batch   3269, Loss  0.864052, Average Loss  0.869405, Time  0.405240
2021-09-09 08:48:30.794490 : Epoch  4, Batch   3270, Loss  0.860691, Average Loss  0.869278, Time  0.376270
2021-09-09 08:48:32.589459 : Epoch  4, Batch   3271, Loss  0.870933, Average Loss  0.869262, Time  0.346299
2021-09-09 08:48:34.408772 : Epoch  4, Batch   3272, Loss  0.846313, Average Loss  0.869046, Time  0.349346
2021-09-09 08:48:36.175004 : Epoch  4, Batch   3273, Loss  0.880295, Average Loss  0.869095, Time  0.352854
2021-09-09 08:48:37.994801 : Epoch  4, Batch   3274, Loss  0.867591, Average Loss  0.869041, Time  0.397171
2021-09-09 08:48:39.758787 : Epoch  4, Batch   3275, Loss  0.846234, Average Loss  0.868767, Time  0.350275
2021-09-09 08:48:41.581417 : Epoch  4, Batch   3276, Loss  0.860215, Average Loss  0.868861, Time  0.394207
2021-09-09 08:48:43.377720 : Epoch  4, Batch   3277, Loss  0.872077, Average Loss  0.868817, Time  0.350095
2021-09-09 08:48:45.197039 : Epoch  4, Batch   3278, Loss  0.863518, Average Loss  0.868772, Time  0.368805
2021-09-09 08:48:47.167922 : Epoch  4, Batch   3279, Loss  0.881173, Average Loss  0.868747, Time  0.467003
2021-09-09 08:48:48.985886 : Epoch  4, Batch   3280, Loss  0.870034, Average Loss  0.868708, Time  0.357663
2021-09-09 08:48:50.854949 : Epoch  4, Batch   3281, Loss  0.865678, Average Loss  0.868679, Time  0.396016
2021-09-09 08:48:52.749053 : Epoch  4, Batch   3282, Loss  0.883248, Average Loss  0.868764, Time  0.424088
2021-09-09 08:48:54.618934 : Epoch  4, Batch   3283, Loss  0.894907, Average Loss  0.868905, Time  0.395209
2021-09-09 08:48:56.503235 : Epoch  4, Batch   3284, Loss  0.859699, Average Loss  0.868898, Time  0.395094
2021-09-09 08:48:58.409793 : Epoch  4, Batch   3285, Loss  0.870596, Average Loss  0.868704, Time  0.443365
2021-09-09 08:49:00.284429 : Epoch  4, Batch   3286, Loss  0.875496, Average Loss  0.868778, Time  0.386516
2021-09-09 08:49:02.191825 : Epoch  4, Batch   3287, Loss  0.890092, Average Loss  0.868864, Time  0.420932
2021-09-09 08:49:04.071567 : Epoch  4, Batch   3288, Loss  0.887631, Average Loss  0.868918, Time  0.391107
2021-09-09 08:49:05.884164 : Epoch  4, Batch   3289, Loss  0.857143, Average Loss  0.868874, Time  0.358519
2021-09-09 08:49:07.767511 : Epoch  4, Batch   3290, Loss  0.880988, Average Loss  0.868897, Time  0.429835
2021-09-09 08:49:09.678810 : Epoch  4, Batch   3291, Loss  0.884074, Average Loss  0.868986, Time  0.427825
2021-09-09 08:49:11.434236 : Epoch  4, Batch   3292, Loss  0.883062, Average Loss  0.869160, Time  0.336779
2021-09-09 08:49:13.279008 : Epoch  4, Batch   3293, Loss  0.829232, Average Loss  0.868898, Time  0.413961
2021-09-09 08:49:15.057506 : Epoch  4, Batch   3294, Loss  0.846467, Average Loss  0.868867, Time  0.349237
2021-09-09 08:49:16.882800 : Epoch  4, Batch   3295, Loss  0.827976, Average Loss  0.868641, Time  0.397828
2021-09-09 08:49:18.685862 : Epoch  4, Batch   3296, Loss  0.892675, Average Loss  0.868742, Time  0.366588
2021-09-09 08:49:20.455230 : Epoch  4, Batch   3297, Loss  0.853865, Average Loss  0.868732, Time  0.343059
2021-09-09 08:49:22.384168 : Epoch  4, Batch   3298, Loss  0.834032, Average Loss  0.868614, Time  0.427062
2021-09-09 08:49:24.219785 : Epoch  4, Batch   3299, Loss  0.828813, Average Loss  0.868450, Time  0.393293
2021-09-09 08:49:26.097887 : Epoch  4, Batch   3300, Loss  0.864778, Average Loss  0.868314, Time  0.394768
2021-09-09 08:49:28.077828 : Epoch  4, Batch   3301, Loss  0.871822, Average Loss  0.868218, Time  0.435130
2021-09-09 08:49:29.897786 : Epoch  4, Batch   3302, Loss  0.864005, Average Loss  0.868074, Time  0.346519
2021-09-09 08:49:31.860271 : Epoch  4, Batch   3303, Loss  0.879031, Average Loss  0.868169, Time  0.402337
2021-09-09 08:49:33.827961 : Epoch  4, Batch   3304, Loss  0.876286, Average Loss  0.868355, Time  0.393374
2021-09-09 08:49:35.710495 : Epoch  4, Batch   3305, Loss  0.853609, Average Loss  0.868213, Time  0.396651
2021-09-09 08:49:37.631853 : Epoch  4, Batch   3306, Loss  0.860197, Average Loss  0.868249, Time  0.424199
2021-09-09 08:49:39.475783 : Epoch  4, Batch   3307, Loss  0.845320, Average Loss  0.868157, Time  0.376542
2021-09-09 08:49:41.362016 : Epoch  4, Batch   3308, Loss  0.851982, Average Loss  0.868110, Time  0.405784
2021-09-09 08:49:43.137823 : Epoch  4, Batch   3309, Loss  0.912660, Average Loss  0.868305, Time  0.331231
2021-09-09 08:49:45.021046 : Epoch  4, Batch   3310, Loss  0.854163, Average Loss  0.868191, Time  0.445207
2021-09-09 08:49:46.920690 : Epoch  4, Batch   3311, Loss  0.881757, Average Loss  0.868242, Time  0.440237
2021-09-09 08:49:48.732142 : Epoch  4, Batch   3312, Loss  0.856112, Average Loss  0.868089, Time  0.349008
2021-09-09 08:49:50.623704 : Epoch  4, Batch   3313, Loss  0.892195, Average Loss  0.868316, Time  0.393117
2021-09-09 08:49:52.494678 : Epoch  4, Batch   3314, Loss  0.879861, Average Loss  0.868472, Time  0.395284
2021-09-09 08:49:54.305012 : Epoch  4, Batch   3315, Loss  0.854663, Average Loss  0.868562, Time  0.358203
2021-09-09 08:49:56.145921 : Epoch  4, Batch   3316, Loss  0.866167, Average Loss  0.868490, Time  0.408999
2021-09-09 08:49:57.934948 : Epoch  4, Batch   3317, Loss  0.844573, Average Loss  0.868372, Time  0.351888
2021-09-09 08:49:59.738227 : Epoch  4, Batch   3318, Loss  0.873788, Average Loss  0.868304, Time  0.356840
2021-09-09 08:50:01.555994 : Epoch  4, Batch   3319, Loss  0.863929, Average Loss  0.868218, Time  0.360279
2021-09-09 08:50:03.393779 : Epoch  4, Batch   3320, Loss  0.900616, Average Loss  0.868530, Time  0.356762
2021-09-09 08:50:05.323819 : Epoch  4, Batch   3321, Loss  0.858851, Average Loss  0.868425, Time  0.405368
2021-09-09 08:50:07.148928 : Epoch  4, Batch   3322, Loss  0.880745, Average Loss  0.868389, Time  0.347227
2021-09-09 08:50:08.986664 : Epoch  4, Batch   3323, Loss  0.866724, Average Loss  0.868258, Time  0.401925
2021-09-09 08:50:10.901201 : Epoch  4, Batch   3324, Loss  0.890792, Average Loss  0.868233, Time  0.393043
2021-09-09 08:50:12.800116 : Epoch  4, Batch   3325, Loss  0.875642, Average Loss  0.868421, Time  0.388872
2021-09-09 08:50:14.726831 : Epoch  4, Batch   3326, Loss  0.853772, Average Loss  0.868360, Time  0.442824
2021-09-09 08:50:16.614293 : Epoch  4, Batch   3327, Loss  0.832044, Average Loss  0.868241, Time  0.400872
2021-09-09 08:50:18.509213 : Epoch  4, Batch   3328, Loss  0.884271, Average Loss  0.868191, Time  0.408062
2021-09-09 08:50:20.399786 : Epoch  4, Batch   3329, Loss  0.865638, Average Loss  0.868197, Time  0.384211
2021-09-09 08:50:22.277367 : Epoch  4, Batch   3330, Loss  0.877864, Average Loss  0.868278, Time  0.398859
2021-09-09 08:50:24.157265 : Epoch  4, Batch   3331, Loss  0.878730, Average Loss  0.868324, Time  0.407627
2021-09-09 08:50:25.962948 : Epoch  4, Batch   3332, Loss  0.872918, Average Loss  0.868375, Time  0.340591
2021-09-09 08:50:27.745210 : Epoch  4, Batch   3333, Loss  0.859253, Average Loss  0.868391, Time  0.327940
2021-09-09 08:50:29.534294 : Epoch  4, Batch   3334, Loss  0.869884, Average Loss  0.868457, Time  0.349086
2021-09-09 08:50:31.356259 : Epoch  4, Batch   3335, Loss  0.871232, Average Loss  0.868291, Time  0.384733
2021-09-09 08:50:33.110456 : Epoch  4, Batch   3336, Loss  0.880080, Average Loss  0.868362, Time  0.344776
2021-09-09 08:50:34.912201 : Epoch  4, Batch   3337, Loss  0.865122, Average Loss  0.868344, Time  0.347482
2021-09-09 08:50:36.869292 : Epoch  4, Batch   3338, Loss  0.850638, Average Loss  0.868218, Time  0.469462
2021-09-09 08:50:38.733257 : Epoch  4, Batch   3339, Loss  0.838478, Average Loss  0.868018, Time  0.363555
2021-09-09 08:50:40.619346 : Epoch  4, Batch   3340, Loss  0.889482, Average Loss  0.868145, Time  0.421866
2021-09-09 08:50:42.417325 : Epoch  4, Batch   3341, Loss  0.865208, Average Loss  0.868074, Time  0.354884
2021-09-09 08:50:44.255725 : Epoch  4, Batch   3342, Loss  0.855292, Average Loss  0.867908, Time  0.414761
2021-09-09 08:50:46.213991 : Epoch  4, Batch   3343, Loss  0.902220, Average Loss  0.868219, Time  0.390950
2021-09-09 08:50:48.080048 : Epoch  4, Batch   3344, Loss  0.886550, Average Loss  0.868445, Time  0.416900
2021-09-09 08:50:49.940220 : Epoch  4, Batch   3345, Loss  0.846920, Average Loss  0.868374, Time  0.372192
2021-09-09 08:50:51.712895 : Epoch  4, Batch   3346, Loss  0.864970, Average Loss  0.868519, Time  0.349585
2021-09-09 08:50:53.615857 : Epoch  4, Batch   3347, Loss  0.899915, Average Loss  0.868657, Time  0.440428
2021-09-09 08:50:55.496086 : Epoch  4, Batch   3348, Loss  0.853616, Average Loss  0.868686, Time  0.398743
2021-09-09 08:50:57.376421 : Epoch  4, Batch   3349, Loss  0.871283, Average Loss  0.868697, Time  0.392388
2021-09-09 08:50:59.296814 : Epoch  4, Batch   3350, Loss  0.855301, Average Loss  0.868520, Time  0.451621
2021-09-09 08:51:01.192273 : Epoch  4, Batch   3351, Loss  0.867326, Average Loss  0.868565, Time  0.378954
2021-09-09 08:51:03.108167 : Epoch  4, Batch   3352, Loss  0.840184, Average Loss  0.868388, Time  0.433240
2021-09-09 08:51:04.977810 : Epoch  4, Batch   3353, Loss  0.858431, Average Loss  0.868346, Time  0.397197
2021-09-09 08:51:06.784947 : Epoch  4, Batch   3354, Loss  0.894047, Average Loss  0.868485, Time  0.355328
2021-09-09 08:51:08.736407 : Epoch  4, Batch   3355, Loss  0.856933, Average Loss  0.868425, Time  0.442153
2021-09-09 08:51:10.604980 : Epoch  4, Batch   3356, Loss  0.859492, Average Loss  0.868419, Time  0.386530
2021-09-09 08:51:12.487264 : Epoch  4, Batch   3357, Loss  0.860788, Average Loss  0.868377, Time  0.416239
2021-09-09 08:51:14.346310 : Epoch  4, Batch   3358, Loss  0.876363, Average Loss  0.868349, Time  0.387316
2021-09-09 08:51:16.108701 : Epoch  4, Batch   3359, Loss  0.851598, Average Loss  0.868276, Time  0.344792
2021-09-09 08:51:18.000069 : Epoch  4, Batch   3360, Loss  0.832766, Average Loss  0.868039, Time  0.418253
2021-09-09 08:51:19.879424 : Epoch  4, Batch   3361, Loss  0.889496, Average Loss  0.868231, Time  0.396503
2021-09-09 08:51:21.878978 : Epoch  4, Batch   3362, Loss  0.838747, Average Loss  0.868240, Time  0.508240
2021-09-09 08:51:23.747383 : Epoch  4, Batch   3363, Loss  0.872599, Average Loss  0.868243, Time  0.375473
2021-09-09 08:51:25.609782 : Epoch  4, Batch   3364, Loss  0.854452, Average Loss  0.868293, Time  0.366722
2021-09-09 08:51:27.406524 : Epoch  4, Batch   3365, Loss  0.873261, Average Loss  0.868260, Time  0.355885
2021-09-09 08:51:29.269927 : Epoch  4, Batch   3366, Loss  0.905293, Average Loss  0.868512, Time  0.367386
2021-09-09 08:51:31.094164 : Epoch  4, Batch   3367, Loss  0.900073, Average Loss  0.868707, Time  0.405922
2021-09-09 08:56:24.000733 : CheckPoint: Validation Loss  0.00059619, Best Loss  0.00056427
2021-09-09 08:56:25.824786 : Epoch  4, Batch   3368, Loss  0.857529, Average Loss  0.868554, Time  0.376968
2021-09-09 08:56:27.736993 : Epoch  4, Batch   3369, Loss  0.872260, Average Loss  0.868566, Time  0.453396
2021-09-09 08:56:29.545871 : Epoch  4, Batch   3370, Loss  0.863257, Average Loss  0.868656, Time  0.363469
2021-09-09 08:56:31.521787 : Epoch  4, Batch   3371, Loss  0.846948, Average Loss  0.868530, Time  0.381598
2021-09-09 08:56:33.407926 : Epoch  4, Batch   3372, Loss  0.883539, Average Loss  0.868531, Time  0.400936
2021-09-09 08:56:35.373826 : Epoch  4, Batch   3373, Loss  0.881737, Average Loss  0.868708, Time  0.383542
2021-09-09 08:56:37.280513 : Epoch  4, Batch   3374, Loss  0.831707, Average Loss  0.868264, Time  0.406242
2021-09-09 08:56:39.133260 : Epoch  4, Batch   3375, Loss  0.865554, Average Loss  0.868205, Time  0.365564
2021-09-09 08:56:40.981381 : Epoch  4, Batch   3376, Loss  0.857911, Average Loss  0.868158, Time  0.361503
2021-09-09 08:56:42.829176 : Epoch  4, Batch   3377, Loss  0.878900, Average Loss  0.868084, Time  0.384471
2021-09-09 08:56:44.689142 : Epoch  4, Batch   3378, Loss  0.861267, Average Loss  0.868040, Time  0.392585
2021-09-09 08:56:46.703835 : Epoch  4, Batch   3379, Loss  0.882429, Average Loss  0.868143, Time  0.411401
2021-09-09 08:56:48.651803 : Epoch  4, Batch   3380, Loss  0.882037, Average Loss  0.868183, Time  0.406976
2021-09-09 08:56:50.484910 : Epoch  4, Batch   3381, Loss  0.863404, Average Loss  0.868143, Time  0.354577
2021-09-09 08:56:52.315774 : Epoch  4, Batch   3382, Loss  0.872849, Average Loss  0.868022, Time  0.343622
2021-09-09 08:56:54.156821 : Epoch  4, Batch   3383, Loss  0.862315, Average Loss  0.868017, Time  0.394510
2021-09-09 08:56:55.956776 : Epoch  4, Batch   3384, Loss  0.881925, Average Loss  0.868064, Time  0.362617
2021-09-09 08:56:57.768154 : Epoch  4, Batch   3385, Loss  0.878379, Average Loss  0.868046, Time  0.349800
2021-09-09 08:56:59.569778 : Epoch  4, Batch   3386, Loss  0.883456, Average Loss  0.868170, Time  0.335205
2021-09-09 08:57:01.402895 : Epoch  4, Batch   3387, Loss  0.872652, Average Loss  0.868287, Time  0.372488
2021-09-09 08:57:03.315775 : Epoch  4, Batch   3388, Loss  0.874294, Average Loss  0.868390, Time  0.442510
2021-09-09 08:57:05.131851 : Epoch  4, Batch   3389, Loss  0.883399, Average Loss  0.868467, Time  0.352662
2021-09-09 08:57:06.942812 : Epoch  4, Batch   3390, Loss  0.857660, Average Loss  0.868550, Time  0.356575
2021-09-09 08:57:08.835412 : Epoch  4, Batch   3391, Loss  0.880211, Average Loss  0.868569, Time  0.366303
2021-09-09 08:57:10.609775 : Epoch  4, Batch   3392, Loss  0.874592, Average Loss  0.868573, Time  0.345449
2021-09-09 08:57:12.486091 : Epoch  4, Batch   3393, Loss  0.879904, Average Loss  0.868525, Time  0.424298
2021-09-09 08:57:14.266783 : Epoch  4, Batch   3394, Loss  0.847419, Average Loss  0.868371, Time  0.349103
2021-09-09 08:57:16.084270 : Epoch  4, Batch   3395, Loss  0.880583, Average Loss  0.868473, Time  0.350259
2021-09-09 08:57:17.952801 : Epoch  4, Batch   3396, Loss  0.843542, Average Loss  0.868437, Time  0.409768
2021-09-09 08:57:19.746218 : Epoch  4, Batch   3397, Loss  0.848166, Average Loss  0.868400, Time  0.358877
2021-09-09 08:57:21.596978 : Epoch  4, Batch   3398, Loss  0.865883, Average Loss  0.868347, Time  0.397890
2021-09-09 08:57:23.510911 : Epoch  4, Batch   3399, Loss  0.853988, Average Loss  0.868287, Time  0.419038
2021-09-09 08:57:25.436791 : Epoch  4, Batch   3400, Loss  0.848343, Average Loss  0.868205, Time  0.416655
2021-09-09 08:57:27.296280 : Epoch  4, Batch   3401, Loss  0.853644, Average Loss  0.868140, Time  0.410333
2021-09-09 08:57:29.103226 : Epoch  4, Batch   3402, Loss  0.890903, Average Loss  0.868290, Time  0.365927
2021-09-09 08:57:30.984964 : Epoch  4, Batch   3403, Loss  0.893152, Average Loss  0.868415, Time  0.396724
2021-09-09 08:57:32.835352 : Epoch  4, Batch   3404, Loss  0.888744, Average Loss  0.868606, Time  0.354707
2021-09-09 08:57:34.657026 : Epoch  4, Batch   3405, Loss  0.860415, Average Loss  0.868452, Time  0.352169
2021-09-09 08:57:36.638018 : Epoch  4, Batch   3406, Loss  0.845992, Average Loss  0.868354, Time  0.473301
2021-09-09 08:57:38.512784 : Epoch  4, Batch   3407, Loss  0.893009, Average Loss  0.868444, Time  0.397756
2021-09-09 08:57:40.414900 : Epoch  4, Batch   3408, Loss  0.866377, Average Loss  0.868480, Time  0.426625
2021-09-09 08:57:42.296708 : Epoch  4, Batch   3409, Loss  0.878124, Average Loss  0.868566, Time  0.379687
2021-09-09 08:57:44.213821 : Epoch  4, Batch   3410, Loss  0.878080, Average Loss  0.868660, Time  0.398226
2021-09-09 08:57:46.128810 : Epoch  4, Batch   3411, Loss  0.880608, Average Loss  0.868772, Time  0.429285
2021-09-09 08:57:48.058871 : Epoch  4, Batch   3412, Loss  0.856794, Average Loss  0.868514, Time  0.395051
2021-09-09 08:57:49.881790 : Epoch  4, Batch   3413, Loss  0.857534, Average Loss  0.868383, Time  0.360887
2021-09-09 08:57:51.709924 : Epoch  4, Batch   3414, Loss  0.851570, Average Loss  0.868320, Time  0.395818
2021-09-09 08:57:53.494787 : Epoch  4, Batch   3415, Loss  0.847423, Average Loss  0.868173, Time  0.356709
2021-09-09 08:57:55.289176 : Epoch  4, Batch   3416, Loss  0.884394, Average Loss  0.868311, Time  0.360726
2021-09-09 08:57:57.128165 : Epoch  4, Batch   3417, Loss  0.897014, Average Loss  0.868406, Time  0.339359
2021-09-09 08:57:58.919149 : Epoch  4, Batch   3418, Loss  0.904412, Average Loss  0.868632, Time  0.347638
2021-09-09 08:58:00.852745 : Epoch  4, Batch   3419, Loss  0.886081, Average Loss  0.868665, Time  0.458912
2021-09-09 08:58:02.696801 : Epoch  4, Batch   3420, Loss  0.867010, Average Loss  0.868781, Time  0.360174
2021-09-09 08:58:04.585953 : Epoch  4, Batch   3421, Loss  0.858801, Average Loss  0.868805, Time  0.404820
2021-09-09 08:58:06.530056 : Epoch  4, Batch   3422, Loss  0.866458, Average Loss  0.868852, Time  0.460814
2021-09-09 08:58:08.500368 : Epoch  4, Batch   3423, Loss  0.856712, Average Loss  0.868827, Time  0.355666
2021-09-09 08:58:10.351793 : Epoch  4, Batch   3424, Loss  0.867199, Average Loss  0.868888, Time  0.425694
2021-09-09 08:58:12.152508 : Epoch  4, Batch   3425, Loss  0.835025, Average Loss  0.868709, Time  0.354336
2021-09-09 08:58:14.001995 : Epoch  4, Batch   3426, Loss  0.846528, Average Loss  0.868576, Time  0.397684
2021-09-09 08:58:15.816431 : Epoch  4, Batch   3427, Loss  0.860416, Average Loss  0.868626, Time  0.375678
2021-09-09 08:58:17.599885 : Epoch  4, Batch   3428, Loss  0.836932, Average Loss  0.868348, Time  0.345576
2021-09-09 08:58:19.423852 : Epoch  4, Batch   3429, Loss  0.870649, Average Loss  0.868199, Time  0.392236
2021-09-09 08:58:21.231951 : Epoch  4, Batch   3430, Loss  0.837474, Average Loss  0.868144, Time  0.378399
2021-09-09 08:58:23.004332 : Epoch  4, Batch   3431, Loss  0.870670, Average Loss  0.868158, Time  0.343872
2021-09-09 08:58:24.859879 : Epoch  4, Batch   3432, Loss  0.887921, Average Loss  0.868118, Time  0.424629
2021-09-09 08:58:26.688268 : Epoch  4, Batch   3433, Loss  0.866693, Average Loss  0.868153, Time  0.372905
2021-09-09 08:58:28.584812 : Epoch  4, Batch   3434, Loss  0.840058, Average Loss  0.868066, Time  0.420621
2021-09-09 08:58:30.519523 : Epoch  4, Batch   3435, Loss  0.865170, Average Loss  0.868018, Time  0.418453
2021-09-09 08:58:32.398009 : Epoch  4, Batch   3436, Loss  0.869403, Average Loss  0.868004, Time  0.397456
2021-09-09 08:58:34.207930 : Epoch  4, Batch   3437, Loss  0.868029, Average Loss  0.868014, Time  0.354628
2021-09-09 08:58:36.185800 : Epoch  4, Batch   3438, Loss  0.885752, Average Loss  0.868146, Time  0.474372
2021-09-09 08:58:38.048941 : Epoch  4, Batch   3439, Loss  0.855531, Average Loss  0.868127, Time  0.389772
2021-09-09 08:58:39.939874 : Epoch  4, Batch   3440, Loss  0.882979, Average Loss  0.868251, Time  0.395767
2021-09-09 08:58:41.874729 : Epoch  4, Batch   3441, Loss  0.844640, Average Loss  0.868181, Time  0.463480
2021-09-09 08:58:43.774374 : Epoch  4, Batch   3442, Loss  0.910729, Average Loss  0.868501, Time  0.393047
2021-09-09 08:58:45.657458 : Epoch  4, Batch   3443, Loss  0.889536, Average Loss  0.868602, Time  0.403860
2021-09-09 08:58:47.566217 : Epoch  4, Batch   3444, Loss  0.834043, Average Loss  0.868395, Time  0.398672
2021-09-09 08:58:49.427405 : Epoch  4, Batch   3445, Loss  0.856401, Average Loss  0.868232, Time  0.397780
2021-09-09 08:58:51.362804 : Epoch  4, Batch   3446, Loss  0.858772, Average Loss  0.868204, Time  0.468648
2021-09-09 08:58:53.219972 : Epoch  4, Batch   3447, Loss  0.887507, Average Loss  0.868220, Time  0.376139
2021-09-09 08:58:55.028002 : Epoch  4, Batch   3448, Loss  0.857675, Average Loss  0.868050, Time  0.357983
2021-09-09 08:58:56.790356 : Epoch  4, Batch   3449, Loss  0.846131, Average Loss  0.867984, Time  0.334794
2021-09-09 08:58:58.677874 : Epoch  4, Batch   3450, Loss  0.854169, Average Loss  0.867826, Time  0.411717
2021-09-09 08:59:00.650498 : Epoch  4, Batch   3451, Loss  0.886137, Average Loss  0.867919, Time  0.498260
2021-09-09 08:59:02.434822 : Epoch  4, Batch   3452, Loss  0.897880, Average Loss  0.868134, Time  0.350482
2021-09-09 08:59:04.326498 : Epoch  4, Batch   3453, Loss  0.855082, Average Loss  0.868088, Time  0.397085
2021-09-09 08:59:06.100378 : Epoch  4, Batch   3454, Loss  0.872322, Average Loss  0.868237, Time  0.354951
2021-09-09 08:59:07.904261 : Epoch  4, Batch   3455, Loss  0.858225, Average Loss  0.868146, Time  0.358776
2021-09-09 08:59:09.692832 : Epoch  4, Batch   3456, Loss  0.879083, Average Loss  0.868125, Time  0.359622
2021-09-09 08:59:11.469179 : Epoch  4, Batch   3457, Loss  0.888862, Average Loss  0.868122, Time  0.345821
2021-09-09 08:59:13.336157 : Epoch  4, Batch   3458, Loss  0.848099, Average Loss  0.868111, Time  0.423734
2021-09-09 08:59:15.118208 : Epoch  4, Batch   3459, Loss  0.816524, Average Loss  0.867846, Time  0.348116
2021-09-09 08:59:16.898856 : Epoch  4, Batch   3460, Loss  0.898659, Average Loss  0.867917, Time  0.349815
2021-09-09 08:59:18.690211 : Epoch  4, Batch   3461, Loss  0.849574, Average Loss  0.867821, Time  0.347380
2021-09-09 08:59:20.547961 : Epoch  4, Batch   3462, Loss  0.873656, Average Loss  0.867754, Time  0.378030
2021-09-09 08:59:22.419309 : Epoch  4, Batch   3463, Loss  0.887553, Average Loss  0.867879, Time  0.385437
2021-09-09 08:59:24.296322 : Epoch  4, Batch   3464, Loss  0.858764, Average Loss  0.867642, Time  0.395359
2021-09-09 08:59:26.183104 : Epoch  4, Batch   3465, Loss  0.873273, Average Loss  0.867625, Time  0.394965
2021-09-09 08:59:28.054003 : Epoch  4, Batch   3466, Loss  0.883008, Average Loss  0.867558, Time  0.392341
2021-09-09 08:59:29.989151 : Epoch  4, Batch   3467, Loss  0.890800, Average Loss  0.867509, Time  0.444560
2021-09-09 09:04:23.533734 : CheckPoint: Validation Loss  0.00059324, Best Loss  0.00056427
2021-09-09 09:04:25.361628 : Epoch  4, Batch   3468, Loss  0.902987, Average Loss  0.867797, Time  0.411498
2021-09-09 09:04:27.199829 : Epoch  4, Batch   3469, Loss  0.845418, Average Loss  0.867704, Time  0.372477
2021-09-09 09:04:29.015026 : Epoch  4, Batch   3470, Loss  0.889457, Average Loss  0.867848, Time  0.369093
2021-09-09 09:04:30.819779 : Epoch  4, Batch   3471, Loss  0.863990, Average Loss  0.867813, Time  0.361519
2021-09-09 09:04:32.621981 : Epoch  4, Batch   3472, Loss  0.901802, Average Loss  0.868090, Time  0.343503
2021-09-09 09:04:34.544257 : Epoch  4, Batch   3473, Loss  0.866415, Average Loss  0.868021, Time  0.451290
2021-09-09 09:04:36.337783 : Epoch  4, Batch   3474, Loss  0.891164, Average Loss  0.868139, Time  0.353436
2021-09-09 09:04:38.130900 : Epoch  4, Batch   3475, Loss  0.883750, Average Loss  0.868326, Time  0.344012
2021-09-09 09:04:40.130904 : Epoch  4, Batch   3476, Loss  0.881911, Average Loss  0.868435, Time  0.486500
2021-09-09 09:04:41.936002 : Epoch  4, Batch   3477, Loss  0.883133, Average Loss  0.868490, Time  0.352950
2021-09-09 09:04:43.914469 : Epoch  4, Batch   3478, Loss  0.863202, Average Loss  0.868489, Time  0.379690
2021-09-09 09:04:45.761008 : Epoch  4, Batch   3479, Loss  0.842558, Average Loss  0.868296, Time  0.371089
2021-09-09 09:04:47.573780 : Epoch  4, Batch   3480, Loss  0.881111, Average Loss  0.868351, Time  0.368080
2021-09-09 09:04:49.374855 : Epoch  4, Batch   3481, Loss  0.854450, Average Loss  0.868295, Time  0.386088
2021-09-09 09:04:51.156712 : Epoch  4, Batch   3482, Loss  0.878986, Average Loss  0.868274, Time  0.366603
2021-09-09 09:04:53.217791 : Epoch  4, Batch   3483, Loss  0.861364, Average Loss  0.868106, Time  0.481016
2021-09-09 09:04:55.171343 : Epoch  4, Batch   3484, Loss  0.851810, Average Loss  0.868066, Time  0.435830
2021-09-09 09:04:57.057839 : Epoch  4, Batch   3485, Loss  0.865718, Average Loss  0.868042, Time  0.412702
2021-09-09 09:04:59.031835 : Epoch  4, Batch   3486, Loss  0.854640, Average Loss  0.867938, Time  0.489208
2021-09-09 09:05:00.854941 : Epoch  4, Batch   3487, Loss  0.889565, Average Loss  0.867935, Time  0.347456
2021-09-09 09:05:02.676798 : Epoch  4, Batch   3488, Loss  0.837728, Average Loss  0.867686, Time  0.374259
2021-09-09 09:05:04.451981 : Epoch  4, Batch   3489, Loss  0.847277, Average Loss  0.867636, Time  0.355429
2021-09-09 09:05:06.398818 : Epoch  4, Batch   3490, Loss  0.872386, Average Loss  0.867593, Time  0.418491
2021-09-09 09:05:08.304348 : Epoch  4, Batch   3491, Loss  0.870381, Average Loss  0.867525, Time  0.427524
2021-09-09 09:05:10.179790 : Epoch  4, Batch   3492, Loss  0.894356, Average Loss  0.867581, Time  0.406485
2021-09-09 09:05:12.002796 : Epoch  4, Batch   3493, Loss  0.848130, Average Loss  0.867676, Time  0.379470
2021-09-09 09:05:13.797778 : Epoch  4, Batch   3494, Loss  0.872200, Average Loss  0.867804, Time  0.353841
2021-09-09 09:05:15.594821 : Epoch  4, Batch   3495, Loss  0.866792, Average Loss  0.867998, Time  0.364916
2021-09-09 09:05:17.507147 : Epoch  4, Batch   3496, Loss  0.835025, Average Loss  0.867710, Time  0.359563
2021-09-09 09:05:19.376790 : Epoch  4, Batch   3497, Loss  0.885518, Average Loss  0.867868, Time  0.364626
2021-09-09 09:05:21.296224 : Epoch  4, Batch   3498, Loss  0.850723, Average Loss  0.867952, Time  0.445410
2021-09-09 09:05:23.137849 : Epoch  4, Batch   3499, Loss  0.852492, Average Loss  0.868070, Time  0.370210
2021-09-09 09:05:25.013547 : Epoch  4, Batch   3500, Loss  0.904311, Average Loss  0.868268, Time  0.396361
2021-09-09 09:05:26.946786 : Epoch  4, Batch   3501, Loss  0.907188, Average Loss  0.868445, Time  0.463615
2021-09-09 09:05:28.814936 : Epoch  4, Batch   3502, Loss  0.885339, Average Loss  0.868551, Time  0.399449
2021-09-09 09:05:30.695798 : Epoch  4, Batch   3503, Loss  0.861823, Average Loss  0.868465, Time  0.397457
2021-09-09 09:05:32.652796 : Epoch  4, Batch   3504, Loss  0.881583, Average Loss  0.868492, Time  0.459795
2021-09-09 09:05:34.446825 : Epoch  4, Batch   3505, Loss  0.870806, Average Loss  0.868578, Time  0.352501
2021-09-09 09:05:36.299776 : Epoch  4, Batch   3506, Loss  0.865333, Average Loss  0.868604, Time  0.399867
2021-09-09 09:05:38.078147 : Epoch  4, Batch   3507, Loss  0.891011, Average Loss  0.868832, Time  0.349226
2021-09-09 09:05:39.853437 : Epoch  4, Batch   3508, Loss  0.850312, Average Loss  0.868824, Time  0.350175
2021-09-09 09:05:41.653136 : Epoch  4, Batch   3509, Loss  0.833537, Average Loss  0.868428, Time  0.355869
2021-09-09 09:05:43.543909 : Epoch  4, Batch   3510, Loss  0.870114, Average Loss  0.868508, Time  0.403384
2021-09-09 09:05:45.425793 : Epoch  4, Batch   3511, Loss  0.835868, Average Loss  0.868278, Time  0.410912
2021-09-09 09:05:47.405088 : Epoch  4, Batch   3512, Loss  0.860095, Average Loss  0.868298, Time  0.389766
2021-09-09 09:05:49.314249 : Epoch  4, Batch   3513, Loss  0.849884, Average Loss  0.868087, Time  0.419811
2021-09-09 09:05:51.121785 : Epoch  4, Batch   3514, Loss  0.851472, Average Loss  0.867945, Time  0.340222
2021-09-09 09:05:52.920918 : Epoch  4, Batch   3515, Loss  0.854614, Average Loss  0.867945, Time  0.345304
2021-09-09 09:05:54.737147 : Epoch  4, Batch   3516, Loss  0.858924, Average Loss  0.867908, Time  0.335672
2021-09-09 09:05:56.519155 : Epoch  4, Batch   3517, Loss  0.893918, Average Loss  0.868155, Time  0.352913
2021-09-09 09:05:58.509003 : Epoch  4, Batch   3518, Loss  0.890434, Average Loss  0.868238, Time  0.436121
2021-09-09 09:06:00.365781 : Epoch  4, Batch   3519, Loss  0.828544, Average Loss  0.868061, Time  0.390237
2021-09-09 09:06:02.231550 : Epoch  4, Batch   3520, Loss  0.856246, Average Loss  0.867840, Time  0.372549
2021-09-09 09:06:04.132000 : Epoch  4, Batch   3521, Loss  0.861482, Average Loss  0.867853, Time  0.397157
2021-09-09 09:06:06.039799 : Epoch  4, Batch   3522, Loss  0.869374, Average Loss  0.867796, Time  0.389225
2021-09-09 09:06:07.950356 : Epoch  4, Batch   3523, Loss  0.884523, Average Loss  0.867885, Time  0.466830
2021-09-09 09:06:09.780833 : Epoch  4, Batch   3524, Loss  0.867327, Average Loss  0.867767, Time  0.393853
2021-09-09 09:06:11.653275 : Epoch  4, Batch   3525, Loss  0.915203, Average Loss  0.867965, Time  0.399442
2021-09-09 09:06:13.628893 : Epoch  4, Batch   3526, Loss  0.882983, Average Loss  0.868111, Time  0.480832
2021-09-09 09:06:15.485634 : Epoch  4, Batch   3527, Loss  0.856773, Average Loss  0.868235, Time  0.399876
2021-09-09 09:06:17.346777 : Epoch  4, Batch   3528, Loss  0.862153, Average Loss  0.868124, Time  0.350852
2021-09-09 09:06:19.146875 : Epoch  4, Batch   3529, Loss  0.868761, Average Loss  0.868140, Time  0.366476
2021-09-09 09:06:20.942789 : Epoch  4, Batch   3530, Loss  0.880398, Average Loss  0.868153, Time  0.373408
2021-09-09 09:06:22.802572 : Epoch  4, Batch   3531, Loss  0.884669, Average Loss  0.868182, Time  0.387325
2021-09-09 09:06:24.662789 : Epoch  4, Batch   3532, Loss  0.888702, Average Loss  0.868261, Time  0.392537
2021-09-09 09:06:26.557823 : Epoch  4, Batch   3533, Loss  0.884263, Average Loss  0.868386, Time  0.403567
2021-09-09 09:06:28.432829 : Epoch  4, Batch   3534, Loss  0.840205, Average Loss  0.868238, Time  0.402767
2021-09-09 09:06:30.340825 : Epoch  4, Batch   3535, Loss  0.852784, Average Loss  0.868146, Time  0.434961
2021-09-09 09:06:32.204359 : Epoch  4, Batch   3536, Loss  0.886625, Average Loss  0.868178, Time  0.386830
2021-09-09 09:06:34.066194 : Epoch  4, Batch   3537, Loss  0.837192, Average Loss  0.868039, Time  0.387400
2021-09-09 09:06:36.005241 : Epoch  4, Batch   3538, Loss  0.874671, Average Loss  0.868159, Time  0.450638
2021-09-09 09:06:37.898185 : Epoch  4, Batch   3539, Loss  0.870868, Average Loss  0.868321, Time  0.393658
2021-09-09 09:06:39.773835 : Epoch  4, Batch   3540, Loss  0.915002, Average Loss  0.868449, Time  0.398569
2021-09-09 09:06:41.695264 : Epoch  4, Batch   3541, Loss  0.915794, Average Loss  0.868701, Time  0.457996
2021-09-09 09:06:43.535780 : Epoch  4, Batch   3542, Loss  0.881439, Average Loss  0.868832, Time  0.375634
2021-09-09 09:06:45.458029 : Epoch  4, Batch   3543, Loss  0.889829, Average Loss  0.868770, Time  0.449752
2021-09-09 09:06:47.318782 : Epoch  4, Batch   3544, Loss  0.866712, Average Loss  0.868671, Time  0.393512
2021-09-09 09:06:49.163833 : Epoch  4, Batch   3545, Loss  0.872915, Average Loss  0.868801, Time  0.375056
2021-09-09 09:06:51.099874 : Epoch  4, Batch   3546, Loss  0.876574, Average Loss  0.868859, Time  0.447804
2021-09-09 09:06:52.996092 : Epoch  4, Batch   3547, Loss  0.885971, Average Loss  0.868789, Time  0.398995
2021-09-09 09:06:54.835240 : Epoch  4, Batch   3548, Loss  0.882600, Average Loss  0.868934, Time  0.356166
2021-09-09 09:06:56.727869 : Epoch  4, Batch   3549, Loss  0.869399, Average Loss  0.868925, Time  0.415583
2021-09-09 09:06:58.604392 : Epoch  4, Batch   3550, Loss  0.886421, Average Loss  0.869080, Time  0.387982
2021-09-09 09:07:00.494805 : Epoch  4, Batch   3551, Loss  0.896644, Average Loss  0.869227, Time  0.428111
2021-09-09 09:07:02.397230 : Epoch  4, Batch   3552, Loss  0.854682, Average Loss  0.869299, Time  0.399201
2021-09-09 09:07:04.332785 : Epoch  4, Batch   3553, Loss  0.862495, Average Loss  0.869320, Time  0.378300
2021-09-09 09:07:06.117998 : Epoch  4, Batch   3554, Loss  0.882334, Average Loss  0.869261, Time  0.350644
2021-09-09 09:07:08.002165 : Epoch  4, Batch   3555, Loss  0.853249, Average Loss  0.869243, Time  0.403242
2021-09-09 09:07:09.974803 : Epoch  4, Batch   3556, Loss  0.893483, Average Loss  0.869413, Time  0.459759
2021-09-09 09:07:11.759787 : Epoch  4, Batch   3557, Loss  0.890324, Average Loss  0.869560, Time  0.352603
2021-09-09 09:07:13.546777 : Epoch  4, Batch   3558, Loss  0.868120, Average Loss  0.869519, Time  0.359555
2021-09-09 09:07:15.448833 : Epoch  4, Batch   3559, Loss  0.868957, Average Loss  0.869606, Time  0.436074
2021-09-09 09:07:17.310976 : Epoch  4, Batch   3560, Loss  0.853058, Average Loss  0.869707, Time  0.359640
2021-09-09 09:07:19.152784 : Epoch  4, Batch   3561, Loss  0.855189, Average Loss  0.869536, Time  0.377724
2021-09-09 09:07:20.964774 : Epoch  4, Batch   3562, Loss  0.854255, Average Loss  0.869613, Time  0.341843
2021-09-09 09:07:22.749825 : Epoch  4, Batch   3563, Loss  0.887989, Average Loss  0.869690, Time  0.354377
2021-09-09 09:07:24.776537 : Epoch  4, Batch   3564, Loss  0.890341, Average Loss  0.869870, Time  0.463992
2021-09-09 09:07:26.725782 : Epoch  4, Batch   3565, Loss  0.860946, Average Loss  0.869808, Time  0.379615
2021-09-09 09:07:28.544048 : Epoch  4, Batch   3566, Loss  0.883192, Average Loss  0.869698, Time  0.337426
2021-09-09 09:07:30.342152 : Epoch  4, Batch   3567, Loss  0.893231, Average Loss  0.869664, Time  0.358936
2021-09-09 09:12:24.458731 : CheckPoint: Validation Loss  0.00057463, Best Loss  0.00056427
2021-09-09 09:12:26.238681 : Epoch  4, Batch   3568, Loss  0.882320, Average Loss  0.869788, Time  0.361852
2021-09-09 09:12:28.031774 : Epoch  4, Batch   3569, Loss  0.843981, Average Loss  0.869646, Time  0.359960
2021-09-09 09:12:29.896793 : Epoch  4, Batch   3570, Loss  0.849459, Average Loss  0.869577, Time  0.408828
2021-09-09 09:12:31.800301 : Epoch  4, Batch   3571, Loss  0.836290, Average Loss  0.869524, Time  0.405285
2021-09-09 09:12:33.680042 : Epoch  4, Batch   3572, Loss  0.859003, Average Loss  0.869401, Time  0.401521
2021-09-09 09:12:35.606798 : Epoch  4, Batch   3573, Loss  0.844112, Average Loss  0.869213, Time  0.453679
2021-09-09 09:12:37.492128 : Epoch  4, Batch   3574, Loss  0.838375, Average Loss  0.869246, Time  0.391755
2021-09-09 09:12:39.361874 : Epoch  4, Batch   3575, Loss  0.873769, Average Loss  0.869287, Time  0.397356
2021-09-09 09:12:41.232941 : Epoch  4, Batch   3576, Loss  0.891627, Average Loss  0.869456, Time  0.417258
2021-09-09 09:12:43.034792 : Epoch  4, Batch   3577, Loss  0.884288, Average Loss  0.869483, Time  0.346216
2021-09-09 09:12:44.873825 : Epoch  4, Batch   3578, Loss  0.845223, Average Loss  0.869403, Time  0.394171
2021-09-09 09:12:46.687212 : Epoch  4, Batch   3579, Loss  0.859971, Average Loss  0.869290, Time  0.358732
2021-09-09 09:12:48.517446 : Epoch  4, Batch   3580, Loss  0.874922, Average Loss  0.869255, Time  0.377899
2021-09-09 09:12:50.331982 : Epoch  4, Batch   3581, Loss  0.880359, Average Loss  0.869340, Time  0.388762
2021-09-09 09:12:52.221225 : Epoch  4, Batch   3582, Loss  0.881363, Average Loss  0.869382, Time  0.391653
2021-09-09 09:12:54.171862 : Epoch  4, Batch   3583, Loss  0.833578, Average Loss  0.869239, Time  0.461763
2021-09-09 09:12:56.067091 : Epoch  4, Batch   3584, Loss  0.870949, Average Loss  0.869184, Time  0.414598
2021-09-09 09:12:57.994125 : Epoch  4, Batch   3585, Loss  0.844562, Average Loss  0.869015, Time  0.395911
2021-09-09 09:12:59.945795 : Epoch  4, Batch   3586, Loss  0.839220, Average Loss  0.868793, Time  0.458776
2021-09-09 09:13:01.830813 : Epoch  4, Batch   3587, Loss  0.831493, Average Loss  0.868588, Time  0.385114
2021-09-09 09:13:03.675884 : Epoch  4, Batch   3588, Loss  0.857547, Average Loss  0.868504, Time  0.383056
2021-09-09 09:13:05.548786 : Epoch  4, Batch   3589, Loss  0.850936, Average Loss  0.868342, Time  0.408189
2021-09-09 09:13:07.444694 : Epoch  4, Batch   3590, Loss  0.852439, Average Loss  0.868315, Time  0.399914
2021-09-09 09:13:09.367255 : Epoch  4, Batch   3591, Loss  0.861087, Average Loss  0.868220, Time  0.438764
2021-09-09 09:13:11.274126 : Epoch  4, Batch   3592, Loss  0.867125, Average Loss  0.868183, Time  0.428251
2021-09-09 09:13:13.135799 : Epoch  4, Batch   3593, Loss  0.850797, Average Loss  0.868037, Time  0.399345
2021-09-09 09:13:15.038494 : Epoch  4, Batch   3594, Loss  0.877326, Average Loss  0.868187, Time  0.423355
2021-09-09 09:13:16.917198 : Epoch  4, Batch   3595, Loss  0.870162, Average Loss  0.868134, Time  0.388050
2021-09-09 09:13:18.770244 : Epoch  4, Batch   3596, Loss  0.890566, Average Loss  0.868370, Time  0.379349
2021-09-09 09:13:20.712803 : Epoch  4, Batch   3597, Loss  0.872840, Average Loss  0.868493, Time  0.476575
2021-09-09 09:13:22.588116 : Epoch  4, Batch   3598, Loss  0.875733, Average Loss  0.868542, Time  0.393349
2021-09-09 09:13:24.369784 : Epoch  4, Batch   3599, Loss  0.869026, Average Loss  0.868617, Time  0.346543
2021-09-09 09:13:26.234914 : Epoch  4, Batch   3600, Loss  0.871226, Average Loss  0.868732, Time  0.385515
2021-09-09 09:13:28.142242 : Epoch  4, Batch   3601, Loss  0.903671, Average Loss  0.868982, Time  0.426198
2021-09-09 09:13:30.054865 : Epoch  4, Batch   3602, Loss  0.908460, Average Loss  0.869070, Time  0.430899
2021-09-09 09:13:31.861777 : Epoch  4, Batch   3603, Loss  0.891296, Average Loss  0.869060, Time  0.353436
2021-09-09 09:13:33.797955 : Epoch  4, Batch   3604, Loss  0.870958, Average Loss  0.868971, Time  0.443701
2021-09-09 09:13:35.694786 : Epoch  4, Batch   3605, Loss  0.867969, Average Loss  0.869009, Time  0.361375
2021-09-09 09:13:37.474821 : Epoch  4, Batch   3606, Loss  0.876980, Average Loss  0.869164, Time  0.345783
2021-09-09 09:13:39.379706 : Epoch  4, Batch   3607, Loss  0.838246, Average Loss  0.868890, Time  0.439222
2021-09-09 09:13:41.185791 : Epoch  4, Batch   3608, Loss  0.885872, Average Loss  0.868988, Time  0.357440
2021-09-09 09:13:42.995896 : Epoch  4, Batch   3609, Loss  0.901068, Average Loss  0.869103, Time  0.376508
2021-09-09 09:13:44.920147 : Epoch  4, Batch   3610, Loss  0.870206, Average Loss  0.869063, Time  0.392678
2021-09-09 09:13:46.791701 : Epoch  4, Batch   3611, Loss  0.880008, Average Loss  0.869060, Time  0.350321
2021-09-09 09:13:48.771303 : Epoch  4, Batch   3612, Loss  0.876623, Average Loss  0.869159, Time  0.503920
2021-09-09 09:13:50.630786 : Epoch  4, Batch   3613, Loss  0.881741, Average Loss  0.869280, Time  0.389666
2021-09-09 09:13:52.512837 : Epoch  4, Batch   3614, Loss  0.858608, Average Loss  0.869316, Time  0.392476
2021-09-09 09:13:54.422500 : Epoch  4, Batch   3615, Loss  0.868791, Average Loss  0.869422, Time  0.423194
2021-09-09 09:13:56.302181 : Epoch  4, Batch   3616, Loss  0.849050, Average Loss  0.869246, Time  0.390009
2021-09-09 09:13:58.143779 : Epoch  4, Batch   3617, Loss  0.844343, Average Loss  0.868982, Time  0.347645
2021-09-09 09:13:59.953778 : Epoch  4, Batch   3618, Loss  0.876472, Average Loss  0.868843, Time  0.365592
2021-09-09 09:14:01.758885 : Epoch  4, Batch   3619, Loss  0.870828, Average Loss  0.868766, Time  0.333432
2021-09-09 09:14:03.677800 : Epoch  4, Batch   3620, Loss  0.906966, Average Loss  0.868966, Time  0.360772
2021-09-09 09:14:05.459916 : Epoch  4, Batch   3621, Loss  0.865692, Average Loss  0.869001, Time  0.356062
2021-09-09 09:14:07.338836 : Epoch  4, Batch   3622, Loss  0.895869, Average Loss  0.869148, Time  0.402166
2021-09-09 09:14:09.242292 : Epoch  4, Batch   3623, Loss  0.883884, Average Loss  0.869284, Time  0.388155
2021-09-09 09:14:11.127891 : Epoch  4, Batch   3624, Loss  0.871269, Average Loss  0.869304, Time  0.401301
2021-09-09 09:14:13.098817 : Epoch  4, Batch   3625, Loss  0.870282, Average Loss  0.869480, Time  0.484958
2021-09-09 09:14:14.992176 : Epoch  4, Batch   3626, Loss  0.881225, Average Loss  0.869654, Time  0.405708
2021-09-09 09:14:16.917798 : Epoch  4, Batch   3627, Loss  0.869346, Average Loss  0.869698, Time  0.412551
2021-09-09 09:14:18.839838 : Epoch  4, Batch   3628, Loss  0.888934, Average Loss  0.869958, Time  0.437025
2021-09-09 09:14:20.750217 : Epoch  4, Batch   3629, Loss  0.873262, Average Loss  0.869971, Time  0.397646
2021-09-09 09:14:22.656811 : Epoch  4, Batch   3630, Loss  0.872465, Average Loss  0.870146, Time  0.403335
2021-09-09 09:14:24.516150 : Epoch  4, Batch   3631, Loss  0.878214, Average Loss  0.870184, Time  0.394119
2021-09-09 09:14:26.432789 : Epoch  4, Batch   3632, Loss  0.851480, Average Loss  0.870002, Time  0.395746
2021-09-09 09:14:28.359136 : Epoch  4, Batch   3633, Loss  0.868854, Average Loss  0.870013, Time  0.450953
2021-09-09 09:14:30.154828 : Epoch  4, Batch   3634, Loss  0.872619, Average Loss  0.870175, Time  0.352370
2021-09-09 09:14:32.001805 : Epoch  4, Batch   3635, Loss  0.858607, Average Loss  0.870143, Time  0.371944
2021-09-09 09:14:33.964935 : Epoch  4, Batch   3636, Loss  0.870638, Average Loss  0.870149, Time  0.464419
2021-09-09 09:14:35.847783 : Epoch  4, Batch   3637, Loss  0.875139, Average Loss  0.870184, Time  0.398853
2021-09-09 09:14:37.700832 : Epoch  4, Batch   3638, Loss  0.872477, Average Loss  0.870118, Time  0.369980
2021-09-09 09:14:39.572959 : Epoch  4, Batch   3639, Loss  0.892048, Average Loss  0.870301, Time  0.401733
2021-09-09 09:14:41.453787 : Epoch  4, Batch   3640, Loss  0.867398, Average Loss  0.870223, Time  0.386271
2021-09-09 09:14:43.390921 : Epoch  4, Batch   3641, Loss  0.876156, Average Loss  0.870380, Time  0.458951
2021-09-09 09:14:45.273804 : Epoch  4, Batch   3642, Loss  0.894519, Average Loss  0.870299, Time  0.404299
2021-09-09 09:14:47.141310 : Epoch  4, Batch   3643, Loss  0.873739, Average Loss  0.870220, Time  0.393170
2021-09-09 09:14:49.034350 : Epoch  4, Batch   3644, Loss  0.873021, Average Loss  0.870415, Time  0.412252
2021-09-09 09:14:50.915001 : Epoch  4, Batch   3645, Loss  0.855356, Average Loss  0.870410, Time  0.404462
2021-09-09 09:14:52.767064 : Epoch  4, Batch   3646, Loss  0.901987, Average Loss  0.870626, Time  0.376741
2021-09-09 09:14:54.713816 : Epoch  4, Batch   3647, Loss  0.857722, Average Loss  0.870477, Time  0.470085
2021-09-09 09:14:56.591837 : Epoch  4, Batch   3648, Loss  0.874721, Average Loss  0.870562, Time  0.413446
2021-09-09 09:14:58.465949 : Epoch  4, Batch   3649, Loss  0.875357, Average Loss  0.870708, Time  0.405280
2021-09-09 09:15:00.396896 : Epoch  4, Batch   3650, Loss  0.865359, Average Loss  0.870764, Time  0.400096
2021-09-09 09:15:02.279870 : Epoch  4, Batch   3651, Loss  0.883391, Average Loss  0.870751, Time  0.385457
2021-09-09 09:15:04.195843 : Epoch  4, Batch   3652, Loss  0.890576, Average Loss  0.870714, Time  0.434855
2021-09-09 09:15:06.075352 : Epoch  4, Batch   3653, Loss  0.846112, Average Loss  0.870669, Time  0.367267
2021-09-09 09:15:07.964786 : Epoch  4, Batch   3654, Loss  0.888432, Average Loss  0.870750, Time  0.397872
2021-09-09 09:15:09.896826 : Epoch  4, Batch   3655, Loss  0.878926, Average Loss  0.870853, Time  0.454731
2021-09-09 09:15:11.753869 : Epoch  4, Batch   3656, Loss  0.879636, Average Loss  0.870856, Time  0.385149
2021-09-09 09:15:13.616829 : Epoch  4, Batch   3657, Loss  0.883490, Average Loss  0.870829, Time  0.399548
2021-09-09 09:15:15.578808 : Epoch  4, Batch   3658, Loss  0.873111, Average Loss  0.870954, Time  0.473515
2021-09-09 09:15:17.437781 : Epoch  4, Batch   3659, Loss  0.867778, Average Loss  0.871211, Time  0.382574
2021-09-09 09:15:19.329796 : Epoch  4, Batch   3660, Loss  0.868106, Average Loss  0.871058, Time  0.405801
2021-09-09 09:15:21.207785 : Epoch  4, Batch   3661, Loss  0.872362, Average Loss  0.871172, Time  0.392285
2021-09-09 09:15:23.121828 : Epoch  4, Batch   3662, Loss  0.891816, Average Loss  0.871262, Time  0.392138
2021-09-09 09:15:25.051849 : Epoch  4, Batch   3663, Loss  0.861788, Average Loss  0.871134, Time  0.450283
2021-09-09 09:15:26.929442 : Epoch  4, Batch   3664, Loss  0.843105, Average Loss  0.871055, Time  0.389154
2021-09-09 09:15:28.788787 : Epoch  4, Batch   3665, Loss  0.874362, Average Loss  0.871061, Time  0.382532
2021-09-09 09:15:30.668003 : Epoch  4, Batch   3666, Loss  0.864836, Average Loss  0.870970, Time  0.442977
2021-09-09 09:15:32.586792 : Epoch  4, Batch   3667, Loss  0.861459, Average Loss  0.870823, Time  0.390672
2021-09-09 09:20:27.838126 : CheckPoint: Validation Loss  0.00062131, Best Loss  0.00056427
2021-09-09 09:20:29.688156 : Epoch  4, Batch   3668, Loss  0.866855, Average Loss  0.870643, Time  0.394188
2021-09-09 09:20:31.654783 : Epoch  4, Batch   3669, Loss  0.861424, Average Loss  0.870723, Time  0.471897
2021-09-09 09:20:33.522794 : Epoch  4, Batch   3670, Loss  0.863689, Average Loss  0.870594, Time  0.389081
2021-09-09 09:20:35.391782 : Epoch  4, Batch   3671, Loss  0.879805, Average Loss  0.870673, Time  0.392061
2021-09-09 09:20:37.311012 : Epoch  4, Batch   3672, Loss  0.911566, Average Loss  0.870722, Time  0.437524
2021-09-09 09:20:39.098943 : Epoch  4, Batch   3673, Loss  0.900056, Average Loss  0.870890, Time  0.355200
2021-09-09 09:20:40.958942 : Epoch  4, Batch   3674, Loss  0.870804, Average Loss  0.870788, Time  0.406945
2021-09-09 09:20:42.887651 : Epoch  4, Batch   3675, Loss  0.864089, Average Loss  0.870690, Time  0.390469
2021-09-09 09:20:44.750906 : Epoch  4, Batch   3676, Loss  0.870638, Average Loss  0.870633, Time  0.390865
2021-09-09 09:20:46.640918 : Epoch  4, Batch   3677, Loss  0.878379, Average Loss  0.870610, Time  0.425517
2021-09-09 09:20:48.543789 : Epoch  4, Batch   3678, Loss  0.886307, Average Loss  0.870725, Time  0.421703
2021-09-09 09:20:50.520917 : Epoch  4, Batch   3679, Loss  0.878658, Average Loss  0.870906, Time  0.447607
2021-09-09 09:20:52.370945 : Epoch  4, Batch   3680, Loss  0.869857, Average Loss  0.870849, Time  0.359367
2021-09-09 09:20:54.297874 : Epoch  4, Batch   3681, Loss  0.875409, Average Loss  0.870954, Time  0.366340
2021-09-09 09:20:56.126912 : Epoch  4, Batch   3682, Loss  0.849210, Average Loss  0.870805, Time  0.410002
2021-09-09 09:20:57.920779 : Epoch  4, Batch   3683, Loss  0.879360, Average Loss  0.870895, Time  0.352445
2021-09-09 09:20:59.777236 : Epoch  4, Batch   3684, Loss  0.878103, Average Loss  0.871027, Time  0.378410
2021-09-09 09:21:01.678831 : Epoch  4, Batch   3685, Loss  0.875234, Average Loss  0.871074, Time  0.425461
2021-09-09 09:21:03.529794 : Epoch  4, Batch   3686, Loss  0.874131, Average Loss  0.871172, Time  0.370657
2021-09-09 09:21:05.424779 : Epoch  4, Batch   3687, Loss  0.863360, Average Loss  0.871041, Time  0.455706
2021-09-09 09:21:07.285423 : Epoch  4, Batch   3688, Loss  0.870568, Average Loss  0.871205, Time  0.382852
2021-09-09 09:21:09.098782 : Epoch  4, Batch   3689, Loss  0.852582, Average Loss  0.871231, Time  0.342908
2021-09-09 09:21:10.936072 : Epoch  4, Batch   3690, Loss  0.850833, Average Loss  0.871124, Time  0.389420
2021-09-09 09:21:12.710129 : Epoch  4, Batch   3691, Loss  0.852349, Average Loss  0.871034, Time  0.354388
2021-09-09 09:21:14.566792 : Epoch  4, Batch   3692, Loss  0.858837, Average Loss  0.870856, Time  0.426824
2021-09-09 09:21:16.409981 : Epoch  4, Batch   3693, Loss  0.874288, Average Loss  0.870987, Time  0.423651
2021-09-09 09:21:18.261794 : Epoch  4, Batch   3694, Loss  0.840939, Average Loss  0.870830, Time  0.430305
2021-09-09 09:21:20.082827 : Epoch  4, Batch   3695, Loss  0.888856, Average Loss  0.870941, Time  0.371443
2021-09-09 09:21:21.941973 : Epoch  4, Batch   3696, Loss  0.881965, Average Loss  0.871175, Time  0.408980
2021-09-09 09:21:23.847245 : Epoch  4, Batch   3697, Loss  0.906072, Average Loss  0.871278, Time  0.375469
2021-09-09 09:21:25.625786 : Epoch  4, Batch   3698, Loss  0.887631, Average Loss  0.871463, Time  0.353773
2021-09-09 09:21:27.532341 : Epoch  4, Batch   3699, Loss  0.881617, Average Loss  0.871608, Time  0.449026
2021-09-09 09:21:29.418969 : Epoch  4, Batch   3700, Loss  0.873114, Average Loss  0.871452, Time  0.396153
2021-09-09 09:21:31.261816 : Epoch  4, Batch   3701, Loss  0.855740, Average Loss  0.871195, Time  0.352473
2021-09-09 09:21:33.083787 : Epoch  4, Batch   3702, Loss  0.894408, Average Loss  0.871241, Time  0.394050
2021-09-09 09:21:34.875826 : Epoch  4, Batch   3703, Loss  0.895697, Average Loss  0.871410, Time  0.354297
2021-09-09 09:21:36.727311 : Epoch  4, Batch   3704, Loss  0.889560, Average Loss  0.871450, Time  0.426361
2021-09-09 09:21:38.555780 : Epoch  4, Batch   3705, Loss  0.863562, Average Loss  0.871414, Time  0.364230
2021-09-09 09:21:40.361793 : Epoch  4, Batch   3706, Loss  0.879934, Average Loss  0.871487, Time  0.345156
2021-09-09 09:21:42.218852 : Epoch  4, Batch   3707, Loss  0.866987, Average Loss  0.871366, Time  0.421891
2021-09-09 09:21:43.997779 : Epoch  4, Batch   3708, Loss  0.874010, Average Loss  0.871485, Time  0.345088
2021-09-09 09:21:45.829826 : Epoch  4, Batch   3709, Loss  0.875278, Average Loss  0.871694, Time  0.396586
2021-09-09 09:21:47.624651 : Epoch  4, Batch   3710, Loss  0.866600, Average Loss  0.871676, Time  0.346327
2021-09-09 09:21:49.498836 : Epoch  4, Batch   3711, Loss  0.876566, Average Loss  0.871880, Time  0.389277
2021-09-09 09:21:49.543627 : Saving Model after 4-th Epoch.
2021-09-09 09:21:53.805728 : Epoch Finished.
2021-09-09 09:21:59.396716 : Batch Shuffled
2021-09-09 09:22:01.243786 : Epoch  5, Batch      1, Loss  0.864092, Average Loss  0.871900, Time  0.381540
2021-09-09 09:22:03.034914 : Epoch  5, Batch      2, Loss  0.902689, Average Loss  0.872164, Time  0.355953
2021-09-09 09:22:04.887777 : Epoch  5, Batch      3, Loss  0.874703, Average Loss  0.872280, Time  0.410624
2021-09-09 09:22:06.659578 : Epoch  5, Batch      4, Loss  0.901059, Average Loss  0.872512, Time  0.343772
2021-09-09 09:22:08.543831 : Epoch  5, Batch      5, Loss  0.862452, Average Loss  0.872530, Time  0.412616
2021-09-09 09:22:10.365779 : Epoch  5, Batch      6, Loss  0.871458, Average Loss  0.872417, Time  0.357209
2021-09-09 09:22:12.263229 : Epoch  5, Batch      7, Loss  0.865123, Average Loss  0.872291, Time  0.405438
2021-09-09 09:22:14.223789 : Epoch  5, Batch      8, Loss  0.885131, Average Loss  0.872574, Time  0.460669
2021-09-09 09:22:16.146867 : Epoch  5, Batch      9, Loss  0.827516, Average Loss  0.872430, Time  0.412836
2021-09-09 09:22:18.036259 : Epoch  5, Batch     10, Loss  0.878046, Average Loss  0.872513, Time  0.415859
2021-09-09 09:22:19.965966 : Epoch  5, Batch     11, Loss  0.844329, Average Loss  0.872388, Time  0.453057
2021-09-09 09:22:21.768215 : Epoch  5, Batch     12, Loss  0.862681, Average Loss  0.872278, Time  0.359191
2021-09-09 09:22:23.602782 : Epoch  5, Batch     13, Loss  0.872845, Average Loss  0.872306, Time  0.419433
2021-09-09 09:22:25.465834 : Epoch  5, Batch     14, Loss  0.848715, Average Loss  0.871974, Time  0.394057
2021-09-09 09:22:27.305775 : Epoch  5, Batch     15, Loss  0.879212, Average Loss  0.871955, Time  0.373694
2021-09-09 09:22:29.153794 : Epoch  5, Batch     16, Loss  0.839804, Average Loss  0.871870, Time  0.421858
2021-09-09 09:22:31.010116 : Epoch  5, Batch     17, Loss  0.889853, Average Loss  0.872008, Time  0.392289
2021-09-09 09:22:32.837797 : Epoch  5, Batch     18, Loss  0.854388, Average Loss  0.871937, Time  0.374738
2021-09-09 09:22:34.609672 : Epoch  5, Batch     19, Loss  0.870173, Average Loss  0.871885, Time  0.350918
2021-09-09 09:22:36.511792 : Epoch  5, Batch     20, Loss  0.885175, Average Loss  0.871888, Time  0.421875
2021-09-09 09:22:38.455516 : Epoch  5, Batch     21, Loss  0.858159, Average Loss  0.871735, Time  0.443658
2021-09-09 09:22:40.299944 : Epoch  5, Batch     22, Loss  0.875651, Average Loss  0.871692, Time  0.389490
2021-09-09 09:22:42.113830 : Epoch  5, Batch     23, Loss  0.826725, Average Loss  0.871625, Time  0.367556
2021-09-09 09:22:43.970995 : Epoch  5, Batch     24, Loss  0.874729, Average Loss  0.871734, Time  0.362458
2021-09-09 09:22:45.795185 : Epoch  5, Batch     25, Loss  0.894326, Average Loss  0.871773, Time  0.356682
2021-09-09 09:22:47.657843 : Epoch  5, Batch     26, Loss  0.875405, Average Loss  0.871964, Time  0.434344
2021-09-09 09:22:49.449855 : Epoch  5, Batch     27, Loss  0.851472, Average Loss  0.871848, Time  0.349671
2021-09-09 09:22:51.369450 : Epoch  5, Batch     28, Loss  0.888817, Average Loss  0.871938, Time  0.396126
2021-09-09 09:22:53.159270 : Epoch  5, Batch     29, Loss  0.875244, Average Loss  0.871739, Time  0.348858
2021-09-09 09:22:55.054325 : Epoch  5, Batch     30, Loss  0.883263, Average Loss  0.871576, Time  0.411178
2021-09-09 09:22:57.029804 : Epoch  5, Batch     31, Loss  0.869522, Average Loss  0.871517, Time  0.493268
2021-09-09 09:22:58.921833 : Epoch  5, Batch     32, Loss  0.864968, Average Loss  0.871392, Time  0.398321
2021-09-09 09:23:00.770995 : Epoch  5, Batch     33, Loss  0.886952, Average Loss  0.871494, Time  0.366462
2021-09-09 09:23:02.655984 : Epoch  5, Batch     34, Loss  0.870564, Average Loss  0.871482, Time  0.404157
2021-09-09 09:23:04.483787 : Epoch  5, Batch     35, Loss  0.845230, Average Loss  0.871325, Time  0.321825
2021-09-09 09:23:06.318785 : Epoch  5, Batch     36, Loss  0.875140, Average Loss  0.871271, Time  0.382936
2021-09-09 09:23:08.196210 : Epoch  5, Batch     37, Loss  0.876151, Average Loss  0.871239, Time  0.384579
2021-09-09 09:23:09.975567 : Epoch  5, Batch     38, Loss  0.886529, Average Loss  0.871324, Time  0.354390
2021-09-09 09:23:11.799961 : Epoch  5, Batch     39, Loss  0.852475, Average Loss  0.871155, Time  0.366020
2021-09-09 09:23:13.601836 : Epoch  5, Batch     40, Loss  0.827942, Average Loss  0.870811, Time  0.372671
2021-09-09 09:23:15.388982 : Epoch  5, Batch     41, Loss  0.881938, Average Loss  0.870947, Time  0.354686
2021-09-09 09:23:17.245223 : Epoch  5, Batch     42, Loss  0.852148, Average Loss  0.870896, Time  0.409532
2021-09-09 09:23:19.061980 : Epoch  5, Batch     43, Loss  0.877566, Average Loss  0.870872, Time  0.365617
2021-09-09 09:23:20.975226 : Epoch  5, Batch     44, Loss  0.872712, Average Loss  0.870969, Time  0.437388
2021-09-09 09:23:22.751334 : Epoch  5, Batch     45, Loss  0.859370, Average Loss  0.870799, Time  0.344278
2021-09-09 09:23:24.571259 : Epoch  5, Batch     46, Loss  0.909927, Average Loss  0.870897, Time  0.350571
2021-09-09 09:23:26.381590 : Epoch  5, Batch     47, Loss  0.868416, Average Loss  0.870898, Time  0.373781
2021-09-09 09:23:28.271794 : Epoch  5, Batch     48, Loss  0.852450, Average Loss  0.870816, Time  0.400783
2021-09-09 09:23:30.227201 : Epoch  5, Batch     49, Loss  0.891285, Average Loss  0.871007, Time  0.460858
2021-09-09 09:23:32.118945 : Epoch  5, Batch     50, Loss  0.861185, Average Loss  0.871037, Time  0.420110
2021-09-09 09:23:34.006242 : Epoch  5, Batch     51, Loss  0.901326, Average Loss  0.871272, Time  0.387974
2021-09-09 09:23:35.942937 : Epoch  5, Batch     52, Loss  0.887143, Average Loss  0.871268, Time  0.402602
2021-09-09 09:23:37.837950 : Epoch  5, Batch     53, Loss  0.890488, Average Loss  0.871269, Time  0.429283
2021-09-09 09:23:39.693799 : Epoch  5, Batch     54, Loss  0.849821, Average Loss  0.871213, Time  0.379860
2021-09-09 09:23:41.628667 : Epoch  5, Batch     55, Loss  0.881241, Average Loss  0.871203, Time  0.441859
2021-09-09 09:23:43.497000 : Epoch  5, Batch     56, Loss  0.894308, Average Loss  0.871209, Time  0.385754
2021-09-09 09:28:39.232716 : CheckPoint: Validation Loss  0.00059420, Best Loss  0.00056427
2021-09-09 09:28:41.076784 : Epoch  5, Batch     57, Loss  0.875531, Average Loss  0.871175, Time  0.404240
2021-09-09 09:28:42.824287 : Epoch  5, Batch     58, Loss  0.860616, Average Loss  0.871258, Time  0.327905
2021-09-09 09:28:44.766795 : Epoch  5, Batch     59, Loss  0.871230, Average Loss  0.871367, Time  0.400467
2021-09-09 09:28:46.644781 : Epoch  5, Batch     60, Loss  0.871229, Average Loss  0.871541, Time  0.398965
2021-09-09 09:28:48.434044 : Epoch  5, Batch     61, Loss  0.864754, Average Loss  0.871570, Time  0.350142
2021-09-09 09:28:50.368788 : Epoch  5, Batch     62, Loss  0.877558, Average Loss  0.871737, Time  0.420182
2021-09-09 09:28:52.279284 : Epoch  5, Batch     63, Loss  0.860385, Average Loss  0.871847, Time  0.429674
2021-09-09 09:28:54.114937 : Epoch  5, Batch     64, Loss  0.884235, Average Loss  0.871900, Time  0.370040
2021-09-09 09:28:56.036418 : Epoch  5, Batch     65, Loss  0.858585, Average Loss  0.871734, Time  0.432571
2021-09-09 09:28:57.918913 : Epoch  5, Batch     66, Loss  0.857782, Average Loss  0.871602, Time  0.393763
2021-09-09 09:28:59.855641 : Epoch  5, Batch     67, Loss  0.869481, Average Loss  0.871723, Time  0.407925
2021-09-09 09:29:01.756247 : Epoch  5, Batch     68, Loss  0.836391, Average Loss  0.871605, Time  0.408633
2021-09-09 09:29:03.632791 : Epoch  5, Batch     69, Loss  0.865172, Average Loss  0.871557, Time  0.403157
2021-09-09 09:29:05.551101 : Epoch  5, Batch     70, Loss  0.866662, Average Loss  0.871488, Time  0.451874
2021-09-09 09:29:07.439238 : Epoch  5, Batch     71, Loss  0.850738, Average Loss  0.871335, Time  0.401328
2021-09-09 09:29:09.312793 : Epoch  5, Batch     72, Loss  0.872946, Average Loss  0.871532, Time  0.373739
2021-09-09 09:29:11.270991 : Epoch  5, Batch     73, Loss  0.864409, Average Loss  0.871499, Time  0.450803
2021-09-09 09:29:13.143829 : Epoch  5, Batch     74, Loss  0.870939, Average Loss  0.871631, Time  0.402564
2021-09-09 09:29:15.041785 : Epoch  5, Batch     75, Loss  0.870102, Average Loss  0.871785, Time  0.402316
2021-09-09 09:29:16.912790 : Epoch  5, Batch     76, Loss  0.881865, Average Loss  0.872037, Time  0.392731
2021-09-09 09:29:18.786792 : Epoch  5, Batch     77, Loss  0.864379, Average Loss  0.872071, Time  0.393382
2021-09-09 09:29:20.716787 : Epoch  5, Batch     78, Loss  0.869237, Average Loss  0.872163, Time  0.446899
2021-09-09 09:29:22.577790 : Epoch  5, Batch     79, Loss  0.838868, Average Loss  0.872095, Time  0.384263
2021-09-09 09:29:24.442224 : Epoch  5, Batch     80, Loss  0.879135, Average Loss  0.872185, Time  0.397108
2021-09-09 09:29:26.315977 : Epoch  5, Batch     81, Loss  0.867085, Average Loss  0.872185, Time  0.392667
2021-09-09 09:29:28.300590 : Epoch  5, Batch     82, Loss  0.867469, Average Loss  0.872268, Time  0.501651
2021-09-09 09:29:30.225788 : Epoch  5, Batch     83, Loss  0.869810, Average Loss  0.872231, Time  0.408853
2021-09-09 09:29:32.009789 : Epoch  5, Batch     84, Loss  0.854306, Average Loss  0.872152, Time  0.340940
2021-09-09 09:29:33.943838 : Epoch  5, Batch     85, Loss  0.862239, Average Loss  0.872010, Time  0.410064
2021-09-09 09:29:35.760182 : Epoch  5, Batch     86, Loss  0.862041, Average Loss  0.871956, Time  0.363917
2021-09-09 09:29:37.574786 : Epoch  5, Batch     87, Loss  0.832703, Average Loss  0.871741, Time  0.338112
2021-09-09 09:29:39.435859 : Epoch  5, Batch     88, Loss  0.861801, Average Loss  0.871705, Time  0.409796
2021-09-09 09:29:41.218775 : Epoch  5, Batch     89, Loss  0.853051, Average Loss  0.871614, Time  0.348346
2021-09-09 09:29:43.046774 : Epoch  5, Batch     90, Loss  0.863434, Average Loss  0.871413, Time  0.388304
2021-09-09 09:29:44.835781 : Epoch  5, Batch     91, Loss  0.868350, Average Loss  0.871212, Time  0.349601
2021-09-09 09:29:46.667038 : Epoch  5, Batch     92, Loss  0.891174, Average Loss  0.871212, Time  0.397418
2021-09-09 09:29:48.542796 : Epoch  5, Batch     93, Loss  0.844857, Average Loss  0.871081, Time  0.393795
2021-09-09 09:29:50.364526 : Epoch  5, Batch     94, Loss  0.860127, Average Loss  0.871042, Time  0.397294
2021-09-09 09:29:52.139211 : Epoch  5, Batch     95, Loss  0.875989, Average Loss  0.871037, Time  0.344100
2021-09-09 09:29:54.031836 : Epoch  5, Batch     96, Loss  0.875903, Average Loss  0.871225, Time  0.384899
2021-09-09 09:29:55.934789 : Epoch  5, Batch     97, Loss  0.868070, Average Loss  0.871136, Time  0.419131
2021-09-09 09:29:57.850963 : Epoch  5, Batch     98, Loss  0.898653, Average Loss  0.871124, Time  0.441868
2021-09-09 09:29:59.823906 : Epoch  5, Batch     99, Loss  0.843872, Average Loss  0.870992, Time  0.468792
2021-09-09 09:30:01.750740 : Epoch  5, Batch    100, Loss  0.896546, Average Loss  0.871075, Time  0.429853
2021-09-09 09:30:03.680226 : Epoch  5, Batch    101, Loss  0.852668, Average Loss  0.870955, Time  0.442316
2021-09-09 09:30:05.591228 : Epoch  5, Batch    102, Loss  0.860637, Average Loss  0.870850, Time  0.423337
2021-09-09 09:30:07.502833 : Epoch  5, Batch    103, Loss  0.863042, Average Loss  0.870872, Time  0.396202
2021-09-09 09:30:09.417229 : Epoch  5, Batch    104, Loss  0.859300, Average Loss  0.870824, Time  0.402316
2021-09-09 09:30:11.389789 : Epoch  5, Batch    105, Loss  0.835101, Average Loss  0.870755, Time  0.471846
2021-09-09 09:30:13.248062 : Epoch  5, Batch    106, Loss  0.901024, Average Loss  0.871038, Time  0.380658
2021-09-09 09:30:15.167786 : Epoch  5, Batch    107, Loss  0.876852, Average Loss  0.871040, Time  0.424350
2021-09-09 09:30:17.047454 : Epoch  5, Batch    108, Loss  0.874809, Average Loss  0.871060, Time  0.391916
2021-09-09 09:30:18.854786 : Epoch  5, Batch    109, Loss  0.867511, Average Loss  0.870863, Time  0.347904
2021-09-09 09:30:20.688761 : Epoch  5, Batch    110, Loss  0.835659, Average Loss  0.870713, Time  0.406704
2021-09-09 09:30:22.558189 : Epoch  5, Batch    111, Loss  0.895842, Average Loss  0.870712, Time  0.385307
2021-09-09 09:30:24.433002 : Epoch  5, Batch    112, Loss  0.873896, Average Loss  0.870662, Time  0.407143
2021-09-09 09:30:26.306790 : Epoch  5, Batch    113, Loss  0.884667, Average Loss  0.870729, Time  0.396854
2021-09-09 09:30:28.204008 : Epoch  5, Batch    114, Loss  0.876637, Average Loss  0.870761, Time  0.383467
2021-09-09 09:30:29.987827 : Epoch  5, Batch    115, Loss  0.877068, Average Loss  0.870740, Time  0.355401
2021-09-09 09:30:31.807778 : Epoch  5, Batch    116, Loss  0.858973, Average Loss  0.870689, Time  0.374096
2021-09-09 09:30:33.560099 : Epoch  5, Batch    117, Loss  0.870169, Average Loss  0.870595, Time  0.326936
2021-09-09 09:30:35.301783 : Epoch  5, Batch    118, Loss  0.858818, Average Loss  0.870523, Time  0.328987
2021-09-09 09:30:37.204744 : Epoch  5, Batch    119, Loss  0.903638, Average Loss  0.870678, Time  0.437534
2021-09-09 09:30:39.089786 : Epoch  5, Batch    120, Loss  0.868215, Average Loss  0.870628, Time  0.360910
2021-09-09 09:30:40.986854 : Epoch  5, Batch    121, Loss  0.832663, Average Loss  0.870534, Time  0.394810
2021-09-09 09:30:42.889408 : Epoch  5, Batch    122, Loss  0.853075, Average Loss  0.870455, Time  0.360670
2021-09-09 09:30:44.763971 : Epoch  5, Batch    123, Loss  0.867754, Average Loss  0.870431, Time  0.396979
2021-09-09 09:30:46.754325 : Epoch  5, Batch    124, Loss  0.851442, Average Loss  0.870395, Time  0.470423
2021-09-09 09:30:48.616973 : Epoch  5, Batch    125, Loss  0.880095, Average Loss  0.870443, Time  0.382441
2021-09-09 09:30:50.498801 : Epoch  5, Batch    126, Loss  0.859427, Average Loss  0.870364, Time  0.401390
2021-09-09 09:30:52.352889 : Epoch  5, Batch    127, Loss  0.853068, Average Loss  0.870267, Time  0.384482
2021-09-09 09:30:54.272220 : Epoch  5, Batch    128, Loss  0.849643, Average Loss  0.870055, Time  0.406220
2021-09-09 09:30:56.166081 : Epoch  5, Batch    129, Loss  0.869920, Average Loss  0.870068, Time  0.417377
2021-09-09 09:30:58.053794 : Epoch  5, Batch    130, Loss  0.887067, Average Loss  0.870122, Time  0.357824
2021-09-09 09:30:59.858250 : Epoch  5, Batch    131, Loss  0.873305, Average Loss  0.870016, Time  0.380817
2021-09-09 09:31:01.644307 : Epoch  5, Batch    132, Loss  0.857109, Average Loss  0.869933, Time  0.342922
2021-09-09 09:31:03.437183 : Epoch  5, Batch    133, Loss  0.862818, Average Loss  0.869882, Time  0.358350
2021-09-09 09:31:05.250199 : Epoch  5, Batch    134, Loss  0.846899, Average Loss  0.869840, Time  0.363327
2021-09-09 09:31:07.009959 : Epoch  5, Batch    135, Loss  0.822680, Average Loss  0.869443, Time  0.332546
2021-09-09 09:31:08.988860 : Epoch  5, Batch    136, Loss  0.884693, Average Loss  0.869578, Time  0.460826
2021-09-09 09:31:10.870697 : Epoch  5, Batch    137, Loss  0.865447, Average Loss  0.869531, Time  0.400105
2021-09-09 09:31:12.814603 : Epoch  5, Batch    138, Loss  0.869414, Average Loss  0.869502, Time  0.449097
2021-09-09 09:31:14.691789 : Epoch  5, Batch    139, Loss  0.867982, Average Loss  0.869515, Time  0.389418
2021-09-09 09:31:16.590788 : Epoch  5, Batch    140, Loss  0.847449, Average Loss  0.869335, Time  0.395664
2021-09-09 09:31:18.483806 : Epoch  5, Batch    141, Loss  0.908071, Average Loss  0.869423, Time  0.411554
2021-09-09 09:31:20.406004 : Epoch  5, Batch    142, Loss  0.841199, Average Loss  0.869398, Time  0.417854
2021-09-09 09:31:22.317456 : Epoch  5, Batch    143, Loss  0.848698, Average Loss  0.869199, Time  0.391344
2021-09-09 09:31:24.201795 : Epoch  5, Batch    144, Loss  0.894402, Average Loss  0.869277, Time  0.390198
2021-09-09 09:31:26.219801 : Epoch  5, Batch    145, Loss  0.835371, Average Loss  0.869055, Time  0.440626
2021-09-09 09:31:28.089748 : Epoch  5, Batch    146, Loss  0.849120, Average Loss  0.868884, Time  0.388029
2021-09-09 09:31:29.918779 : Epoch  5, Batch    147, Loss  0.865534, Average Loss  0.868846, Time  0.384705
2021-09-09 09:31:31.696952 : Epoch  5, Batch    148, Loss  0.857410, Average Loss  0.868794, Time  0.348872
2021-09-09 09:31:33.624848 : Epoch  5, Batch    149, Loss  0.842158, Average Loss  0.868664, Time  0.407099
2021-09-09 09:31:35.558786 : Epoch  5, Batch    150, Loss  0.894567, Average Loss  0.868775, Time  0.433947
2021-09-09 09:31:37.494779 : Epoch  5, Batch    151, Loss  0.839249, Average Loss  0.868512, Time  0.404623
2021-09-09 09:31:39.398517 : Epoch  5, Batch    152, Loss  0.873884, Average Loss  0.868573, Time  0.426843
2021-09-09 09:31:41.282780 : Epoch  5, Batch    153, Loss  0.855464, Average Loss  0.868635, Time  0.373568
2021-09-09 09:31:43.188300 : Epoch  5, Batch    154, Loss  0.862538, Average Loss  0.868576, Time  0.388328
2021-09-09 09:31:45.170335 : Epoch  5, Batch    155, Loss  0.890332, Average Loss  0.868703, Time  0.497082
2021-09-09 09:31:52.713889 : Epoch  5, Batch    156, Loss  0.833122, Average Loss  0.868561, Time  0.363295
2021-09-09 09:36:47.737715 : CheckPoint: Validation Loss  0.00060390, Best Loss  0.00056427
2021-09-09 09:36:49.663781 : Epoch  5, Batch    157, Loss  0.870704, Average Loss  0.868581, Time  0.397552
2021-09-09 09:36:51.463016 : Epoch  5, Batch    158, Loss  0.863618, Average Loss  0.868592, Time  0.342576
2021-09-09 09:36:53.352743 : Epoch  5, Batch    159, Loss  0.896235, Average Loss  0.868754, Time  0.440205
2021-09-09 09:36:55.155779 : Epoch  5, Batch    160, Loss  0.869045, Average Loss  0.868700, Time  0.356201
2021-09-09 09:36:56.921277 : Epoch  5, Batch    161, Loss  0.890870, Average Loss  0.868597, Time  0.338945
2021-09-09 09:36:58.738800 : Epoch  5, Batch    162, Loss  0.908042, Average Loss  0.868637, Time  0.364729
2021-09-09 09:37:00.556870 : Epoch  5, Batch    163, Loss  0.881164, Average Loss  0.868689, Time  0.383523
2021-09-09 09:37:02.382840 : Epoch  5, Batch    164, Loss  0.841671, Average Loss  0.868577, Time  0.344454
2021-09-09 09:37:04.205791 : Epoch  5, Batch    165, Loss  0.884532, Average Loss  0.868646, Time  0.395604
2021-09-09 09:37:06.154792 : Epoch  5, Batch    166, Loss  0.878114, Average Loss  0.868645, Time  0.438347
2021-09-09 09:37:08.018798 : Epoch  5, Batch    167, Loss  0.862327, Average Loss  0.868525, Time  0.395632
2021-09-09 09:37:09.856099 : Epoch  5, Batch    168, Loss  0.836566, Average Loss  0.868314, Time  0.360105
2021-09-09 09:37:11.833782 : Epoch  5, Batch    169, Loss  0.884778, Average Loss  0.868389, Time  0.398257
2021-09-09 09:37:13.742510 : Epoch  5, Batch    170, Loss  0.864628, Average Loss  0.868335, Time  0.417805
2021-09-09 09:37:15.603249 : Epoch  5, Batch    171, Loss  0.834856, Average Loss  0.868263, Time  0.398113
2021-09-09 09:37:17.492372 : Epoch  5, Batch    172, Loss  0.836251, Average Loss  0.868048, Time  0.411462
2021-09-09 09:37:19.378790 : Epoch  5, Batch    173, Loss  0.846654, Average Loss  0.867891, Time  0.408362
2021-09-09 09:37:21.240172 : Epoch  5, Batch    174, Loss  0.861841, Average Loss  0.867824, Time  0.385312
2021-09-09 09:37:23.149498 : Epoch  5, Batch    175, Loss  0.885636, Average Loss  0.867881, Time  0.419859
2021-09-09 09:37:25.029004 : Epoch  5, Batch    176, Loss  0.891954, Average Loss  0.868024, Time  0.437402
2021-09-09 09:37:27.021354 : Epoch  5, Batch    177, Loss  0.852363, Average Loss  0.867933, Time  0.350228
2021-09-09 09:37:28.940557 : Epoch  5, Batch    178, Loss  0.867489, Average Loss  0.868008, Time  0.410171
2021-09-09 09:37:30.849783 : Epoch  5, Batch    179, Loss  0.894854, Average Loss  0.868228, Time  0.415536
2021-09-09 09:37:32.710186 : Epoch  5, Batch    180, Loss  0.874036, Average Loss  0.868336, Time  0.386729
2021-09-09 09:37:34.658792 : Epoch  5, Batch    181, Loss  0.857389, Average Loss  0.868329, Time  0.467450
2021-09-09 09:37:36.535784 : Epoch  5, Batch    182, Loss  0.868282, Average Loss  0.868299, Time  0.392819
2021-09-09 09:37:38.449036 : Epoch  5, Batch    183, Loss  0.851304, Average Loss  0.868351, Time  0.412906
2021-09-09 09:37:40.308044 : Epoch  5, Batch    184, Loss  0.857026, Average Loss  0.868192, Time  0.388896
2021-09-09 09:37:42.157805 : Epoch  5, Batch    185, Loss  0.864342, Average Loss  0.868103, Time  0.373238
2021-09-09 09:37:44.075070 : Epoch  5, Batch    186, Loss  0.837106, Average Loss  0.867759, Time  0.404333
2021-09-09 09:37:45.966802 : Epoch  5, Batch    187, Loss  0.859747, Average Loss  0.867619, Time  0.389313
2021-09-09 09:37:47.940286 : Epoch  5, Batch    188, Loss  0.852479, Average Loss  0.867473, Time  0.465697
2021-09-09 09:37:49.758039 : Epoch  5, Batch    189, Loss  0.844679, Average Loss  0.867331, Time  0.348229
2021-09-09 09:37:51.696790 : Epoch  5, Batch    190, Loss  0.872028, Average Loss  0.867413, Time  0.391346
2021-09-09 09:37:53.488846 : Epoch  5, Batch    191, Loss  0.860162, Average Loss  0.867242, Time  0.341435
2021-09-09 09:37:55.318842 : Epoch  5, Batch    192, Loss  0.865932, Average Loss  0.867093, Time  0.392879
2021-09-09 09:37:57.342833 : Epoch  5, Batch    193, Loss  0.872222, Average Loss  0.867006, Time  0.480088
2021-09-09 09:37:59.235783 : Epoch  5, Batch    194, Loss  0.889299, Average Loss  0.867135, Time  0.393828
2021-09-09 09:38:01.098835 : Epoch  5, Batch    195, Loss  0.859745, Average Loss  0.867034, Time  0.401254
2021-09-09 09:38:02.999038 : Epoch  5, Batch    196, Loss  0.851218, Average Loss  0.866955, Time  0.419540
2021-09-09 09:38:04.882015 : Epoch  5, Batch    197, Loss  0.869536, Average Loss  0.866933, Time  0.401102
2021-09-09 09:38:06.804024 : Epoch  5, Batch    198, Loss  0.885336, Average Loss  0.866983, Time  0.415064
2021-09-09 09:38:08.625839 : Epoch  5, Batch    199, Loss  0.865440, Average Loss  0.866977, Time  0.346639
2021-09-09 09:38:10.434161 : Epoch  5, Batch    200, Loss  0.848274, Average Loss  0.866836, Time  0.357585
2021-09-09 09:38:12.255827 : Epoch  5, Batch    201, Loss  0.851963, Average Loss  0.866775, Time  0.393248
2021-09-09 09:38:14.187797 : Epoch  5, Batch    202, Loss  0.846166, Average Loss  0.866492, Time  0.397842
2021-09-09 09:38:16.208849 : Epoch  5, Batch    203, Loss  0.860096, Average Loss  0.866419, Time  0.513951
2021-09-09 09:38:18.083707 : Epoch  5, Batch    204, Loss  0.863543, Average Loss  0.866232, Time  0.389864
2021-09-09 09:38:19.912191 : Epoch  5, Batch    205, Loss  0.844150, Average Loss  0.866140, Time  0.361516
2021-09-09 09:38:21.751593 : Epoch  5, Batch    206, Loss  0.883514, Average Loss  0.866200, Time  0.417270
2021-09-09 09:38:23.612405 : Epoch  5, Batch    207, Loss  0.898392, Average Loss  0.866367, Time  0.352085
2021-09-09 09:38:25.475802 : Epoch  5, Batch    208, Loss  0.874891, Average Loss  0.866316, Time  0.407379
2021-09-09 09:38:27.281792 : Epoch  5, Batch    209, Loss  0.846061, Average Loss  0.866408, Time  0.371679
2021-09-09 09:38:29.076784 : Epoch  5, Batch    210, Loss  0.900013, Average Loss  0.866518, Time  0.364391
2021-09-09 09:38:30.953840 : Epoch  5, Batch    211, Loss  0.874554, Average Loss  0.866669, Time  0.439712
2021-09-09 09:38:32.737145 : Epoch  5, Batch    212, Loss  0.875067, Average Loss  0.866731, Time  0.350406
2021-09-09 09:38:34.524790 : Epoch  5, Batch    213, Loss  0.856273, Average Loss  0.866648, Time  0.347874
2021-09-09 09:38:36.302219 : Epoch  5, Batch    214, Loss  0.871262, Average Loss  0.866761, Time  0.357353
2021-09-09 09:38:38.129976 : Epoch  5, Batch    215, Loss  0.850479, Average Loss  0.866617, Time  0.334670
2021-09-09 09:38:40.014294 : Epoch  5, Batch    216, Loss  0.868782, Average Loss  0.866762, Time  0.419046
2021-09-09 09:38:41.811905 : Epoch  5, Batch    217, Loss  0.862373, Average Loss  0.866625, Time  0.356514
2021-09-09 09:38:43.670849 : Epoch  5, Batch    218, Loss  0.846729, Average Loss  0.866587, Time  0.414481
2021-09-09 09:38:45.473798 : Epoch  5, Batch    219, Loss  0.877530, Average Loss  0.866623, Time  0.347116
2021-09-09 09:38:47.291895 : Epoch  5, Batch    220, Loss  0.846363, Average Loss  0.866429, Time  0.365392
2021-09-09 09:38:49.145997 : Epoch  5, Batch    221, Loss  0.844247, Average Loss  0.866360, Time  0.392093
2021-09-09 09:38:50.925777 : Epoch  5, Batch    222, Loss  0.834683, Average Loss  0.866155, Time  0.343311
2021-09-09 09:38:52.733782 : Epoch  5, Batch    223, Loss  0.869603, Average Loss  0.866369, Time  0.366417
2021-09-09 09:38:54.533825 : Epoch  5, Batch    224, Loss  0.853156, Average Loss  0.866261, Time  0.347126
2021-09-09 09:38:56.314884 : Epoch  5, Batch    225, Loss  0.874820, Average Loss  0.866164, Time  0.330263
2021-09-09 09:38:58.248279 : Epoch  5, Batch    226, Loss  0.880837, Average Loss  0.866191, Time  0.460015
2021-09-09 09:39:00.026845 : Epoch  5, Batch    227, Loss  0.841902, Average Loss  0.866143, Time  0.349331
2021-09-09 09:39:01.793969 : Epoch  5, Batch    228, Loss  0.865016, Average Loss  0.866024, Time  0.331427
2021-09-09 09:39:03.572835 : Epoch  5, Batch    229, Loss  0.888818, Average Loss  0.866092, Time  0.347812
2021-09-09 09:39:05.404104 : Epoch  5, Batch    230, Loss  0.874823, Average Loss  0.866050, Time  0.340248
2021-09-09 09:39:07.204907 : Epoch  5, Batch    231, Loss  0.866736, Average Loss  0.866036, Time  0.347944
2021-09-09 09:39:08.969389 : Epoch  5, Batch    232, Loss  0.874321, Average Loss  0.866083, Time  0.345758
2021-09-09 09:39:10.903797 : Epoch  5, Batch    233, Loss  0.829616, Average Loss  0.865796, Time  0.452770
2021-09-09 09:39:12.690788 : Epoch  5, Batch    234, Loss  0.846898, Average Loss  0.865678, Time  0.357843
2021-09-09 09:39:14.495168 : Epoch  5, Batch    235, Loss  0.852840, Average Loss  0.865716, Time  0.352962
2021-09-09 09:39:16.453833 : Epoch  5, Batch    236, Loss  0.860482, Average Loss  0.865642, Time  0.395195
2021-09-09 09:39:18.305433 : Epoch  5, Batch    237, Loss  0.863358, Average Loss  0.865579, Time  0.345283
2021-09-09 09:39:20.114954 : Epoch  5, Batch    238, Loss  0.862463, Average Loss  0.865458, Time  0.340879
2021-09-09 09:39:21.922533 : Epoch  5, Batch    239, Loss  0.858205, Average Loss  0.865487, Time  0.340296
2021-09-09 09:39:23.739955 : Epoch  5, Batch    240, Loss  0.890716, Average Loss  0.865801, Time  0.340477
2021-09-09 09:39:25.578116 : Epoch  5, Batch    241, Loss  0.842441, Average Loss  0.865603, Time  0.346116
2021-09-09 09:39:27.404940 : Epoch  5, Batch    242, Loss  0.844918, Average Loss  0.865567, Time  0.341282
2021-09-09 09:39:29.228950 : Epoch  5, Batch    243, Loss  0.892534, Average Loss  0.865642, Time  0.341388
2021-09-09 09:39:31.045997 : Epoch  5, Batch    244, Loss  0.878968, Average Loss  0.865673, Time  0.340186
2021-09-09 09:39:32.860942 : Epoch  5, Batch    245, Loss  0.854763, Average Loss  0.865650, Time  0.340015
2021-09-09 09:39:34.773784 : Epoch  5, Batch    246, Loss  0.881030, Average Loss  0.865506, Time  0.431191
2021-09-09 09:39:36.719016 : Epoch  5, Batch    247, Loss  0.827536, Average Loss  0.865301, Time  0.401880
2021-09-09 09:39:38.654797 : Epoch  5, Batch    248, Loss  0.904840, Average Loss  0.865563, Time  0.455328
2021-09-09 09:39:40.568918 : Epoch  5, Batch    249, Loss  0.874644, Average Loss  0.865480, Time  0.409144
2021-09-09 09:39:42.465783 : Epoch  5, Batch    250, Loss  0.857323, Average Loss  0.865461, Time  0.394423
2021-09-09 09:39:44.392849 : Epoch  5, Batch    251, Loss  0.880682, Average Loss  0.865358, Time  0.445114
2021-09-09 09:39:46.264981 : Epoch  5, Batch    252, Loss  0.865747, Average Loss  0.865251, Time  0.394250
2021-09-09 09:39:48.128831 : Epoch  5, Batch    253, Loss  0.860747, Average Loss  0.865102, Time  0.387361
2021-09-09 09:39:50.067958 : Epoch  5, Batch    254, Loss  0.864072, Average Loss  0.865173, Time  0.456457
2021-09-09 09:39:51.932398 : Epoch  5, Batch    255, Loss  0.850863, Average Loss  0.865021, Time  0.395101
2021-09-09 09:39:53.741793 : Epoch  5, Batch    256, Loss  0.885400, Average Loss  0.864977, Time  0.376566
2021-09-09 09:44:48.949713 : CheckPoint: Validation Loss  0.00061950, Best Loss  0.00056427
2021-09-09 09:44:50.741951 : Epoch  5, Batch    257, Loss  0.860555, Average Loss  0.864902, Time  0.356104
2021-09-09 09:44:52.577779 : Epoch  5, Batch    258, Loss  0.866107, Average Loss  0.864929, Time  0.388764
2021-09-09 09:44:54.480980 : Epoch  5, Batch    259, Loss  0.889905, Average Loss  0.865023, Time  0.422530
2021-09-09 09:44:56.274797 : Epoch  5, Batch    260, Loss  0.889224, Average Loss  0.865113, Time  0.342638
2021-09-09 09:44:58.156610 : Epoch  5, Batch    261, Loss  0.836037, Average Loss  0.864969, Time  0.386326
2021-09-09 09:44:59.986173 : Epoch  5, Batch    262, Loss  0.884591, Average Loss  0.865004, Time  0.331590
2021-09-09 09:45:01.764902 : Epoch  5, Batch    263, Loss  0.896038, Average Loss  0.865182, Time  0.338435
2021-09-09 09:45:03.571841 : Epoch  5, Batch    264, Loss  0.843091, Average Loss  0.864977, Time  0.359731
2021-09-09 09:45:05.398795 : Epoch  5, Batch    265, Loss  0.871170, Average Loss  0.865040, Time  0.343218
2021-09-09 09:45:07.177392 : Epoch  5, Batch    266, Loss  0.883110, Average Loss  0.865166, Time  0.355775
2021-09-09 09:45:08.982417 : Epoch  5, Batch    267, Loss  0.861809, Average Loss  0.865128, Time  0.375175
2021-09-09 09:45:10.889093 : Epoch  5, Batch    268, Loss  0.886421, Average Loss  0.865378, Time  0.462065
2021-09-09 09:45:12.685822 : Epoch  5, Batch    269, Loss  0.857463, Average Loss  0.865340, Time  0.352559
2021-09-09 09:45:14.540357 : Epoch  5, Batch    270, Loss  0.862766, Average Loss  0.865320, Time  0.430210
2021-09-09 09:45:16.306797 : Epoch  5, Batch    271, Loss  0.892198, Average Loss  0.865527, Time  0.328443
2021-09-09 09:45:18.090142 : Epoch  5, Batch    272, Loss  0.864170, Average Loss  0.865483, Time  0.355038
2021-09-09 09:45:20.001787 : Epoch  5, Batch    273, Loss  0.861427, Average Loss  0.865469, Time  0.413623
2021-09-09 09:45:21.788837 : Epoch  5, Batch    274, Loss  0.859400, Average Loss  0.865411, Time  0.344369
2021-09-09 09:45:23.737633 : Epoch  5, Batch    275, Loss  0.872391, Average Loss  0.865422, Time  0.415671
2021-09-09 09:45:25.538812 : Epoch  5, Batch    276, Loss  0.826393, Average Loss  0.865145, Time  0.342628
2021-09-09 09:45:27.548578 : Epoch  5, Batch    277, Loss  0.850259, Average Loss  0.865074, Time  0.454957
2021-09-09 09:45:29.483845 : Epoch  5, Batch    278, Loss  0.867250, Average Loss  0.865064, Time  0.440274
2021-09-09 09:45:31.393972 : Epoch  5, Batch    279, Loss  0.872943, Average Loss  0.865235, Time  0.391553
2021-09-09 09:45:33.283792 : Epoch  5, Batch    280, Loss  0.864425, Average Loss  0.865161, Time  0.415716
2021-09-09 09:45:35.166934 : Epoch  5, Batch    281, Loss  0.848166, Average Loss  0.865067, Time  0.403765
2021-09-09 09:45:36.966005 : Epoch  5, Batch    282, Loss  0.870490, Average Loss  0.865082, Time  0.352101
2021-09-09 09:45:38.901805 : Epoch  5, Batch    283, Loss  0.866752, Average Loss  0.865066, Time  0.474566
2021-09-09 09:45:40.692607 : Epoch  5, Batch    284, Loss  0.866329, Average Loss  0.865127, Time  0.356061
2021-09-09 09:45:42.641786 : Epoch  5, Batch    285, Loss  0.881216, Average Loss  0.865221, Time  0.437894
2021-09-09 09:45:44.440153 : Epoch  5, Batch    286, Loss  0.863994, Average Loss  0.865231, Time  0.341408
2021-09-09 09:45:46.332094 : Epoch  5, Batch    287, Loss  0.868869, Average Loss  0.865412, Time  0.419396
2021-09-09 09:45:48.172039 : Epoch  5, Batch    288, Loss  0.844092, Average Loss  0.865323, Time  0.412873
2021-09-09 09:45:49.980873 : Epoch  5, Batch    289, Loss  0.902572, Average Loss  0.865571, Time  0.356553
2021-09-09 09:45:51.780946 : Epoch  5, Batch    290, Loss  0.852425, Average Loss  0.865516, Time  0.358128
2021-09-09 09:45:53.723828 : Epoch  5, Batch    291, Loss  0.862333, Average Loss  0.865486, Time  0.417492
2021-09-09 09:45:55.695241 : Epoch  5, Batch    292, Loss  0.860502, Average Loss  0.865333, Time  0.484066
2021-09-09 09:45:57.688310 : Epoch  5, Batch    293, Loss  0.857136, Average Loss  0.865394, Time  0.469562
2021-09-09 09:45:59.567771 : Epoch  5, Batch    294, Loss  0.898345, Average Loss  0.865585, Time  0.404909
2021-09-09 09:46:01.444074 : Epoch  5, Batch    295, Loss  0.866547, Average Loss  0.865538, Time  0.401341
2021-09-09 09:46:03.305803 : Epoch  5, Batch    296, Loss  0.889056, Average Loss  0.865604, Time  0.376442
2021-09-09 09:46:05.177236 : Epoch  5, Batch    297, Loss  0.855507, Average Loss  0.865541, Time  0.390351
2021-09-09 09:46:07.050396 : Epoch  5, Batch    298, Loss  0.858319, Average Loss  0.865339, Time  0.411518
2021-09-09 09:46:08.913148 : Epoch  5, Batch    299, Loss  0.875581, Average Loss  0.865498, Time  0.397128
2021-09-09 09:46:10.779818 : Epoch  5, Batch    300, Loss  0.867581, Average Loss  0.865353, Time  0.395406
2021-09-09 09:46:12.648813 : Epoch  5, Batch    301, Loss  0.857194, Average Loss  0.865376, Time  0.399079
2021-09-09 09:46:14.514349 : Epoch  5, Batch    302, Loss  0.877759, Average Loss  0.865461, Time  0.393179
2021-09-09 09:46:16.497173 : Epoch  5, Batch    303, Loss  0.866864, Average Loss  0.865480, Time  0.446315
2021-09-09 09:46:18.292341 : Epoch  5, Batch    304, Loss  0.879595, Average Loss  0.865582, Time  0.357244
2021-09-09 09:46:20.099616 : Epoch  5, Batch    305, Loss  0.837068, Average Loss  0.865592, Time  0.365651
2021-09-09 09:46:21.966806 : Epoch  5, Batch    306, Loss  0.864946, Average Loss  0.865411, Time  0.392659
2021-09-09 09:46:23.822793 : Epoch  5, Batch    307, Loss  0.873641, Average Loss  0.865395, Time  0.392314
2021-09-09 09:46:25.690851 : Epoch  5, Batch    308, Loss  0.861175, Average Loss  0.865327, Time  0.390393
2021-09-09 09:46:27.564734 : Epoch  5, Batch    309, Loss  0.861525, Average Loss  0.865297, Time  0.399130
2021-09-09 09:46:29.463803 : Epoch  5, Batch    310, Loss  0.867501, Average Loss  0.865456, Time  0.411757
2021-09-09 09:46:31.375175 : Epoch  5, Batch    311, Loss  0.837088, Average Loss  0.865162, Time  0.355433
2021-09-09 09:46:33.241949 : Epoch  5, Batch    312, Loss  0.872001, Average Loss  0.865153, Time  0.411612
2021-09-09 09:46:35.013841 : Epoch  5, Batch    313, Loss  0.876241, Average Loss  0.865111, Time  0.354322
2021-09-09 09:46:36.791166 : Epoch  5, Batch    314, Loss  0.858354, Average Loss  0.865019, Time  0.339280
2021-09-09 09:46:38.587780 : Epoch  5, Batch    315, Loss  0.882622, Average Loss  0.865047, Time  0.350000
2021-09-09 09:46:40.377007 : Epoch  5, Batch    316, Loss  0.880665, Average Loss  0.865156, Time  0.352148
2021-09-09 09:46:42.337832 : Epoch  5, Batch    317, Loss  0.861336, Average Loss  0.865111, Time  0.466842
2021-09-09 09:46:44.206945 : Epoch  5, Batch    318, Loss  0.869287, Average Loss  0.865164, Time  0.395471
2021-09-09 09:46:46.064865 : Epoch  5, Batch    319, Loss  0.888285, Average Loss  0.865087, Time  0.378196
2021-09-09 09:46:47.884647 : Epoch  5, Batch    320, Loss  0.825352, Average Loss  0.864873, Time  0.380888
2021-09-09 09:46:49.763100 : Epoch  5, Batch    321, Loss  0.855246, Average Loss  0.864986, Time  0.394443
2021-09-09 09:46:51.552243 : Epoch  5, Batch    322, Loss  0.899992, Average Loss  0.865220, Time  0.357885
2021-09-09 09:46:53.345952 : Epoch  5, Batch    323, Loss  0.906579, Average Loss  0.865414, Time  0.355037
2021-09-09 09:46:55.192976 : Epoch  5, Batch    324, Loss  0.879102, Average Loss  0.865553, Time  0.364807
2021-09-09 09:46:56.964288 : Epoch  5, Batch    325, Loss  0.877382, Average Loss  0.865539, Time  0.360330
2021-09-09 09:46:58.875838 : Epoch  5, Batch    326, Loss  0.859403, Average Loss  0.865539, Time  0.390903
2021-09-09 09:47:00.804796 : Epoch  5, Batch    327, Loss  0.867141, Average Loss  0.865609, Time  0.445463
2021-09-09 09:47:02.668172 : Epoch  5, Batch    328, Loss  0.888474, Average Loss  0.865803, Time  0.387394
2021-09-09 09:47:04.505973 : Epoch  5, Batch    329, Loss  0.856485, Average Loss  0.865736, Time  0.376647
2021-09-09 09:47:06.424044 : Epoch  5, Batch    330, Loss  0.843835, Average Loss  0.865520, Time  0.459074
2021-09-09 09:47:08.277835 : Epoch  5, Batch    331, Loss  0.841025, Average Loss  0.865359, Time  0.394557
2021-09-09 09:47:10.149810 : Epoch  5, Batch    332, Loss  0.848116, Average Loss  0.865314, Time  0.378478
2021-09-09 09:47:11.916362 : Epoch  5, Batch    333, Loss  0.878070, Average Loss  0.865390, Time  0.338043
2021-09-09 09:47:13.791385 : Epoch  5, Batch    334, Loss  0.886992, Average Loss  0.865591, Time  0.395090
2021-09-09 09:47:15.705155 : Epoch  5, Batch    335, Loss  0.852616, Average Loss  0.865740, Time  0.444861
2021-09-09 09:47:17.499782 : Epoch  5, Batch    336, Loss  0.863468, Average Loss  0.865634, Time  0.352726
2021-09-09 09:47:19.364960 : Epoch  5, Batch    337, Loss  0.874737, Average Loss  0.865681, Time  0.399157
2021-09-09 09:47:21.244250 : Epoch  5, Batch    338, Loss  0.867512, Average Loss  0.865671, Time  0.382242
2021-09-09 09:47:23.092838 : Epoch  5, Batch    339, Loss  0.851946, Average Loss  0.865591, Time  0.364199
2021-09-09 09:47:24.875958 : Epoch  5, Batch    340, Loss  0.870184, Average Loss  0.865705, Time  0.345823
2021-09-09 09:47:26.728166 : Epoch  5, Batch    341, Loss  0.889497, Average Loss  0.865612, Time  0.384707
2021-09-09 09:47:28.567779 : Epoch  5, Batch    342, Loss  0.852369, Average Loss  0.865667, Time  0.400623
2021-09-09 09:47:30.344409 : Epoch  5, Batch    343, Loss  0.834004, Average Loss  0.865594, Time  0.351169
2021-09-09 09:47:32.196811 : Epoch  5, Batch    344, Loss  0.887382, Average Loss  0.865559, Time  0.414467
2021-09-09 09:47:34.022797 : Epoch  5, Batch    345, Loss  0.863392, Average Loss  0.865699, Time  0.353756
2021-09-09 09:47:35.839776 : Epoch  5, Batch    346, Loss  0.894125, Average Loss  0.865924, Time  0.340214
2021-09-09 09:47:37.650332 : Epoch  5, Batch    347, Loss  0.853406, Average Loss  0.865863, Time  0.376729
2021-09-09 09:47:39.435774 : Epoch  5, Batch    348, Loss  0.877624, Average Loss  0.865964, Time  0.329184
2021-09-09 09:47:41.307440 : Epoch  5, Batch    349, Loss  0.837239, Average Loss  0.865940, Time  0.409448
2021-09-09 09:47:43.069790 : Epoch  5, Batch    350, Loss  0.879258, Average Loss  0.865863, Time  0.349095
2021-09-09 09:47:44.857881 : Epoch  5, Batch    351, Loss  0.865507, Average Loss  0.865995, Time  0.338619
2021-09-09 09:47:46.668800 : Epoch  5, Batch    352, Loss  0.864611, Average Loss  0.865948, Time  0.383284
2021-09-09 09:47:48.595847 : Epoch  5, Batch    353, Loss  0.845621, Average Loss  0.865899, Time  0.421765
2021-09-09 09:47:50.518888 : Epoch  5, Batch    354, Loss  0.882327, Average Loss  0.865998, Time  0.431826
2021-09-09 09:47:52.373790 : Epoch  5, Batch    355, Loss  0.855210, Average Loss  0.865822, Time  0.391146
2021-09-09 09:47:54.243779 : Epoch  5, Batch    356, Loss  0.851011, Average Loss  0.865912, Time  0.410409
2021-09-09 09:52:49.220761 : CheckPoint: Validation Loss  0.00060582, Best Loss  0.00056427
2021-09-09 09:52:50.989778 : Epoch  5, Batch    357, Loss  0.869450, Average Loss  0.865906, Time  0.355522
2021-09-09 09:52:52.745783 : Epoch  5, Batch    358, Loss  0.854198, Average Loss  0.865858, Time  0.349385
2021-09-09 09:52:54.503790 : Epoch  5, Batch    359, Loss  0.857687, Average Loss  0.865666, Time  0.353249
2021-09-09 09:52:56.253040 : Epoch  5, Batch    360, Loss  0.877654, Average Loss  0.865709, Time  0.338061
2021-09-09 09:52:58.099952 : Epoch  5, Batch    361, Loss  0.856773, Average Loss  0.865538, Time  0.355320
2021-09-09 09:53:00.067880 : Epoch  5, Batch    362, Loss  0.843347, Average Loss  0.865215, Time  0.487972
2021-09-09 09:53:01.917350 : Epoch  5, Batch    363, Loss  0.882210, Average Loss  0.865220, Time  0.370809
2021-09-09 09:53:03.814488 : Epoch  5, Batch    364, Loss  0.867280, Average Loss  0.865348, Time  0.441126
2021-09-09 09:53:05.583016 : Epoch  5, Batch    365, Loss  0.883864, Average Loss  0.865345, Time  0.340615
2021-09-09 09:53:07.406281 : Epoch  5, Batch    366, Loss  0.883913, Average Loss  0.865374, Time  0.407088
2021-09-09 09:53:09.174403 : Epoch  5, Batch    367, Loss  0.863469, Average Loss  0.865379, Time  0.351778
2021-09-09 09:53:11.041247 : Epoch  5, Batch    368, Loss  0.857729, Average Loss  0.865485, Time  0.397008
2021-09-09 09:53:12.974786 : Epoch  5, Batch    369, Loss  0.876315, Average Loss  0.865443, Time  0.451463
2021-09-09 09:53:14.824847 : Epoch  5, Batch    370, Loss  0.869932, Average Loss  0.865469, Time  0.400508
2021-09-09 09:53:16.674169 : Epoch  5, Batch    371, Loss  0.836517, Average Loss  0.865478, Time  0.383138
2021-09-09 09:53:18.569810 : Epoch  5, Batch    372, Loss  0.826383, Average Loss  0.865428, Time  0.441712
2021-09-09 09:53:20.466166 : Epoch  5, Batch    373, Loss  0.874232, Average Loss  0.865566, Time  0.379691
2021-09-09 09:53:22.346996 : Epoch  5, Batch    374, Loss  0.871826, Average Loss  0.865616, Time  0.378399
2021-09-09 09:53:24.214919 : Epoch  5, Batch    375, Loss  0.871561, Average Loss  0.865546, Time  0.394538
2021-09-09 09:53:26.072789 : Epoch  5, Batch    376, Loss  0.859942, Average Loss  0.865386, Time  0.391470
2021-09-09 09:53:28.013813 : Epoch  5, Batch    377, Loss  0.869018, Average Loss  0.865469, Time  0.469155
2021-09-09 09:53:29.867001 : Epoch  5, Batch    378, Loss  0.914645, Average Loss  0.865705, Time  0.404449
2021-09-09 09:53:31.771875 : Epoch  5, Batch    379, Loss  0.876083, Average Loss  0.865611, Time  0.427652
2021-09-09 09:53:33.641787 : Epoch  5, Batch    380, Loss  0.853717, Average Loss  0.865509, Time  0.386943
2021-09-09 09:53:35.559411 : Epoch  5, Batch    381, Loss  0.836789, Average Loss  0.865406, Time  0.403002
2021-09-09 09:53:37.509984 : Epoch  5, Batch    382, Loss  0.880470, Average Loss  0.865467, Time  0.479573
2021-09-09 09:53:39.373227 : Epoch  5, Batch    383, Loss  0.881073, Average Loss  0.865616, Time  0.389144
2021-09-09 09:53:41.223166 : Epoch  5, Batch    384, Loss  0.870169, Average Loss  0.865682, Time  0.406710
2021-09-09 09:53:43.154091 : Epoch  5, Batch    385, Loss  0.868704, Average Loss  0.865704, Time  0.484645
2021-09-09 09:53:45.094279 : Epoch  5, Batch    386, Loss  0.859991, Average Loss  0.865818, Time  0.477295
2021-09-09 09:53:46.937180 : Epoch  5, Batch    387, Loss  0.859886, Average Loss  0.865819, Time  0.385029
2021-09-09 09:53:48.786786 : Epoch  5, Batch    388, Loss  0.880531, Average Loss  0.865959, Time  0.399793
2021-09-09 09:53:50.744962 : Epoch  5, Batch    389, Loss  0.844550, Average Loss  0.865958, Time  0.483054
2021-09-09 09:53:52.649802 : Epoch  5, Batch    390, Loss  0.873495, Average Loss  0.865966, Time  0.422967
2021-09-09 09:53:54.496139 : Epoch  5, Batch    391, Loss  0.880746, Average Loss  0.866069, Time  0.384561
2021-09-09 09:53:56.353389 : Epoch  5, Batch    392, Loss  0.875906, Average Loss  0.866119, Time  0.382838
2021-09-09 09:53:58.171244 : Epoch  5, Batch    393, Loss  0.889979, Average Loss  0.866207, Time  0.411581
2021-09-09 09:53:59.941983 : Epoch  5, Batch    394, Loss  0.889499, Average Loss  0.866208, Time  0.348534
2021-09-09 09:54:01.817270 : Epoch  5, Batch    395, Loss  0.810544, Average Loss  0.865962, Time  0.426905
2021-09-09 09:54:03.708266 : Epoch  5, Batch    396, Loss  0.849192, Average Loss  0.865952, Time  0.428193
2021-09-09 09:54:05.491599 : Epoch  5, Batch    397, Loss  0.865642, Average Loss  0.865933, Time  0.371406
2021-09-09 09:54:07.308977 : Epoch  5, Batch    398, Loss  0.855074, Average Loss  0.865781, Time  0.391367
2021-09-09 09:54:09.316260 : Epoch  5, Batch    399, Loss  0.856756, Average Loss  0.865738, Time  0.415227
2021-09-09 09:54:11.216018 : Epoch  5, Batch    400, Loss  0.857473, Average Loss  0.865784, Time  0.448406
2021-09-09 09:54:13.072004 : Epoch  5, Batch    401, Loss  0.860633, Average Loss  0.865827, Time  0.385680
2021-09-09 09:54:14.935787 : Epoch  5, Batch    402, Loss  0.893696, Average Loss  0.866065, Time  0.392421
2021-09-09 09:54:16.891795 : Epoch  5, Batch    403, Loss  0.864347, Average Loss  0.866086, Time  0.473442
2021-09-09 09:54:18.755782 : Epoch  5, Batch    404, Loss  0.886208, Average Loss  0.866200, Time  0.400255
2021-09-09 09:54:20.604872 : Epoch  5, Batch    405, Loss  0.888574, Average Loss  0.866422, Time  0.391115
2021-09-09 09:54:22.481796 : Epoch  5, Batch    406, Loss  0.860473, Average Loss  0.866307, Time  0.428022
2021-09-09 09:54:24.344007 : Epoch  5, Batch    407, Loss  0.878581, Average Loss  0.866207, Time  0.365333
2021-09-09 09:54:26.262140 : Epoch  5, Batch    408, Loss  0.858030, Average Loss  0.866123, Time  0.435592
2021-09-09 09:54:28.144244 : Epoch  5, Batch    409, Loss  0.867948, Average Loss  0.866233, Time  0.398886
2021-09-09 09:54:30.031787 : Epoch  5, Batch    410, Loss  0.823668, Average Loss  0.865851, Time  0.387162
2021-09-09 09:54:31.903991 : Epoch  5, Batch    411, Loss  0.886006, Average Loss  0.865908, Time  0.404843
2021-09-09 09:54:33.719254 : Epoch  5, Batch    412, Loss  0.881375, Average Loss  0.865940, Time  0.361766
2021-09-09 09:54:35.570106 : Epoch  5, Batch    413, Loss  0.871886, Average Loss  0.866018, Time  0.351642
2021-09-09 09:54:37.355938 : Epoch  5, Batch    414, Loss  0.878382, Average Loss  0.866053, Time  0.337301
2021-09-09 09:54:39.121780 : Epoch  5, Batch    415, Loss  0.866272, Average Loss  0.866132, Time  0.350198
2021-09-09 09:54:40.896215 : Epoch  5, Batch    416, Loss  0.866794, Average Loss  0.866122, Time  0.345569
2021-09-09 09:54:42.678781 : Epoch  5, Batch    417, Loss  0.849696, Average Loss  0.866059, Time  0.357876
2021-09-09 09:54:44.499822 : Epoch  5, Batch    418, Loss  0.862304, Average Loss  0.866137, Time  0.355573
2021-09-09 09:54:46.299995 : Epoch  5, Batch    419, Loss  0.859090, Average Loss  0.866045, Time  0.367242
2021-09-09 09:54:48.083879 : Epoch  5, Batch    420, Loss  0.865133, Average Loss  0.866138, Time  0.357123
2021-09-09 09:54:49.899976 : Epoch  5, Batch    421, Loss  0.879963, Average Loss  0.866317, Time  0.348480
2021-09-09 09:54:51.704963 : Epoch  5, Batch    422, Loss  0.857695, Average Loss  0.866432, Time  0.361724
2021-09-09 09:54:53.530940 : Epoch  5, Batch    423, Loss  0.874084, Average Loss  0.866455, Time  0.352308
2021-09-09 09:54:55.364918 : Epoch  5, Batch    424, Loss  0.875718, Average Loss  0.866567, Time  0.379978
2021-09-09 09:54:57.144966 : Epoch  5, Batch    425, Loss  0.852330, Average Loss  0.866455, Time  0.353868
2021-09-09 09:54:58.966952 : Epoch  5, Batch    426, Loss  0.913614, Average Loss  0.866619, Time  0.349379
2021-09-09 09:55:00.766474 : Epoch  5, Batch    427, Loss  0.847172, Average Loss  0.866645, Time  0.352103
2021-09-09 09:55:02.534924 : Epoch  5, Batch    428, Loss  0.879444, Average Loss  0.866717, Time  0.339423
2021-09-09 09:55:04.411995 : Epoch  5, Batch    429, Loss  0.878457, Average Loss  0.866665, Time  0.432623
2021-09-09 09:55:06.171968 : Epoch  5, Batch    430, Loss  0.879901, Average Loss  0.866691, Time  0.349963
2021-09-09 09:55:08.065072 : Epoch  5, Batch    431, Loss  0.871070, Average Loss  0.866713, Time  0.399526
2021-09-09 09:55:10.019844 : Epoch  5, Batch    432, Loss  0.860533, Average Loss  0.866644, Time  0.415613
2021-09-09 09:55:11.905566 : Epoch  5, Batch    433, Loss  0.869820, Average Loss  0.866845, Time  0.405277
2021-09-09 09:55:13.794800 : Epoch  5, Batch    434, Loss  0.870303, Average Loss  0.866962, Time  0.397934
2021-09-09 09:55:15.643043 : Epoch  5, Batch    435, Loss  0.843729, Average Loss  0.866916, Time  0.381402
2021-09-09 09:55:17.524273 : Epoch  5, Batch    436, Loss  0.883064, Average Loss  0.867029, Time  0.402051
2021-09-09 09:55:19.441897 : Epoch  5, Batch    437, Loss  0.855935, Average Loss  0.866992, Time  0.476722
2021-09-09 09:55:21.303950 : Epoch  5, Batch    438, Loss  0.883763, Average Loss  0.867098, Time  0.379076
2021-09-09 09:55:23.114067 : Epoch  5, Batch    439, Loss  0.872452, Average Loss  0.867170, Time  0.356472
2021-09-09 09:55:24.912964 : Epoch  5, Batch    440, Loss  0.888037, Average Loss  0.867156, Time  0.361490
2021-09-09 09:55:26.704975 : Epoch  5, Batch    441, Loss  0.880307, Average Loss  0.867346, Time  0.358978
2021-09-09 09:55:28.597829 : Epoch  5, Batch    442, Loss  0.847215, Average Loss  0.867357, Time  0.439877
2021-09-09 09:55:30.362372 : Epoch  5, Batch    443, Loss  0.866785, Average Loss  0.867228, Time  0.337521
2021-09-09 09:55:32.284211 : Epoch  5, Batch    444, Loss  0.880708, Average Loss  0.867237, Time  0.402235
2021-09-09 09:55:34.291958 : Epoch  5, Batch    445, Loss  0.872741, Average Loss  0.867327, Time  0.495824
2021-09-09 09:55:36.182995 : Epoch  5, Batch    446, Loss  0.842109, Average Loss  0.867132, Time  0.374298
2021-09-09 09:55:38.078027 : Epoch  5, Batch    447, Loss  0.884386, Average Loss  0.867417, Time  0.441378
2021-09-09 09:55:39.875838 : Epoch  5, Batch    448, Loss  0.866842, Average Loss  0.867227, Time  0.372294
2021-09-09 09:55:41.638188 : Epoch  5, Batch    449, Loss  0.873603, Average Loss  0.867221, Time  0.338364
2021-09-09 09:55:43.479327 : Epoch  5, Batch    450, Loss  0.883660, Average Loss  0.867353, Time  0.390093
2021-09-09 09:55:45.311927 : Epoch  5, Batch    451, Loss  0.842933, Average Loss  0.867164, Time  0.347114
2021-09-09 09:55:47.084836 : Epoch  5, Batch    452, Loss  0.867568, Average Loss  0.867173, Time  0.333257
2021-09-09 09:55:48.956953 : Epoch  5, Batch    453, Loss  0.890129, Average Loss  0.867320, Time  0.408149
2021-09-09 09:55:50.824789 : Epoch  5, Batch    454, Loss  0.846916, Average Loss  0.867234, Time  0.397052
2021-09-09 09:55:52.753795 : Epoch  5, Batch    455, Loss  0.890696, Average Loss  0.867434, Time  0.426528
2021-09-09 09:55:54.609004 : Epoch  5, Batch    456, Loss  0.878777, Average Loss  0.867401, Time  0.379038
2021-09-09 10:00:49.745099 : CheckPoint: Validation Loss  0.00061615, Best Loss  0.00056427
2021-09-09 10:00:51.530042 : Epoch  5, Batch    457, Loss  0.875224, Average Loss  0.867474, Time  0.354608
2021-09-09 10:00:53.429851 : Epoch  5, Batch    458, Loss  0.851549, Average Loss  0.867401, Time  0.395802
2021-09-09 10:00:55.287138 : Epoch  5, Batch    459, Loss  0.823799, Average Loss  0.867071, Time  0.379953
2021-09-09 10:00:57.214735 : Epoch  5, Batch    460, Loss  0.852191, Average Loss  0.866885, Time  0.458826
2021-09-09 10:00:59.086820 : Epoch  5, Batch    461, Loss  0.884440, Average Loss  0.867127, Time  0.396965
2021-09-09 10:01:00.840152 : Epoch  5, Batch    462, Loss  0.867397, Average Loss  0.867041, Time  0.333982
2021-09-09 10:01:02.684151 : Epoch  5, Batch    463, Loss  0.841078, Average Loss  0.866767, Time  0.383517
2021-09-09 10:01:04.551917 : Epoch  5, Batch    464, Loss  0.886574, Average Loss  0.866984, Time  0.355763
2021-09-09 10:01:06.346825 : Epoch  5, Batch    465, Loss  0.901567, Average Loss  0.867136, Time  0.325461
2021-09-09 10:01:08.158776 : Epoch  5, Batch    466, Loss  0.854118, Average Loss  0.866991, Time  0.352571
2021-09-09 10:01:09.979029 : Epoch  5, Batch    467, Loss  0.843614, Average Loss  0.866900, Time  0.356387
2021-09-09 10:01:11.906205 : Epoch  5, Batch    468, Loss  0.852561, Average Loss  0.866731, Time  0.430513
2021-09-09 10:01:13.751345 : Epoch  5, Batch    469, Loss  0.874249, Average Loss  0.866815, Time  0.375930
2021-09-09 10:01:15.564364 : Epoch  5, Batch    470, Loss  0.871279, Average Loss  0.866857, Time  0.348184
2021-09-09 10:01:17.472787 : Epoch  5, Batch    471, Loss  0.865372, Average Loss  0.866723, Time  0.437515
2021-09-09 10:01:19.333537 : Epoch  5, Batch    472, Loss  0.869159, Average Loss  0.866748, Time  0.381310
2021-09-09 10:01:21.117153 : Epoch  5, Batch    473, Loss  0.863340, Average Loss  0.866758, Time  0.330177
2021-09-09 10:01:23.085947 : Epoch  5, Batch    474, Loss  0.864970, Average Loss  0.866786, Time  0.497177
2021-09-09 10:01:24.960557 : Epoch  5, Batch    475, Loss  0.849301, Average Loss  0.866670, Time  0.399174
2021-09-09 10:01:26.808806 : Epoch  5, Batch    476, Loss  0.898031, Average Loss  0.867028, Time  0.408028
2021-09-09 10:01:28.579306 : Epoch  5, Batch    477, Loss  0.849606, Average Loss  0.867025, Time  0.341132
2021-09-09 10:01:30.447271 : Epoch  5, Batch    478, Loss  0.848602, Average Loss  0.866932, Time  0.389204
2021-09-09 10:01:32.341950 : Epoch  5, Batch    479, Loss  0.864357, Average Loss  0.866889, Time  0.417215
2021-09-09 10:01:34.286069 : Epoch  5, Batch    480, Loss  0.880903, Average Loss  0.866971, Time  0.421217
2021-09-09 10:01:36.151773 : Epoch  5, Batch    481, Loss  0.870126, Average Loss  0.867081, Time  0.409059
2021-09-09 10:01:37.939778 : Epoch  5, Batch    482, Loss  0.843975, Average Loss  0.866948, Time  0.359533
2021-09-09 10:01:39.722438 : Epoch  5, Batch    483, Loss  0.891696, Average Loss  0.867073, Time  0.351687
2021-09-09 10:01:41.599968 : Epoch  5, Batch    484, Loss  0.865434, Average Loss  0.867069, Time  0.379736
2021-09-09 10:01:43.524784 : Epoch  5, Batch    485, Loss  0.879556, Average Loss  0.867060, Time  0.401299
2021-09-09 10:01:45.381796 : Epoch  5, Batch    486, Loss  0.884226, Average Loss  0.867162, Time  0.420308
2021-09-09 10:01:47.164923 : Epoch  5, Batch    487, Loss  0.871421, Average Loss  0.867174, Time  0.351413
2021-09-09 10:01:48.937711 : Epoch  5, Batch    488, Loss  0.886652, Average Loss  0.867387, Time  0.347209
2021-09-09 10:01:50.745141 : Epoch  5, Batch    489, Loss  0.852769, Average Loss  0.867138, Time  0.362009
2021-09-09 10:01:52.549374 : Epoch  5, Batch    490, Loss  0.862184, Average Loss  0.867187, Time  0.347448
2021-09-09 10:01:54.444947 : Epoch  5, Batch    491, Loss  0.862867, Average Loss  0.867190, Time  0.424820
2021-09-09 10:01:56.333783 : Epoch  5, Batch    492, Loss  0.870896, Average Loss  0.867242, Time  0.413008
2021-09-09 10:01:58.218987 : Epoch  5, Batch    493, Loss  0.900756, Average Loss  0.867460, Time  0.404950
2021-09-09 10:02:00.074923 : Epoch  5, Batch    494, Loss  0.848074, Average Loss  0.867208, Time  0.351657
2021-09-09 10:02:01.905978 : Epoch  5, Batch    495, Loss  0.869515, Average Loss  0.867223, Time  0.349117
2021-09-09 10:02:03.763788 : Epoch  5, Batch    496, Loss  0.851853, Average Loss  0.867037, Time  0.395405
2021-09-09 10:02:05.572797 : Epoch  5, Batch    497, Loss  0.851251, Average Loss  0.867016, Time  0.341807
2021-09-09 10:02:07.427803 : Epoch  5, Batch    498, Loss  0.875641, Average Loss  0.867102, Time  0.421353
2021-09-09 10:02:09.253055 : Epoch  5, Batch    499, Loss  0.871497, Average Loss  0.867082, Time  0.353710
2021-09-09 10:02:11.162022 : Epoch  5, Batch    500, Loss  0.845126, Average Loss  0.866970, Time  0.400045
2021-09-09 10:02:13.094785 : Epoch  5, Batch    501, Loss  0.882756, Average Loss  0.867098, Time  0.453066
2021-09-09 10:02:14.920157 : Epoch  5, Batch    502, Loss  0.881372, Average Loss  0.867116, Time  0.358537
2021-09-09 10:02:16.748784 : Epoch  5, Batch    503, Loss  0.867710, Average Loss  0.867120, Time  0.396380
2021-09-09 10:02:18.536787 : Epoch  5, Batch    504, Loss  0.889792, Average Loss  0.867171, Time  0.349371
2021-09-09 10:02:20.318229 : Epoch  5, Batch    505, Loss  0.856315, Average Loss  0.867267, Time  0.342657
2021-09-09 10:02:22.253274 : Epoch  5, Batch    506, Loss  0.886543, Average Loss  0.867375, Time  0.448032
2021-09-09 10:02:24.124785 : Epoch  5, Batch    507, Loss  0.873828, Average Loss  0.867376, Time  0.388060
2021-09-09 10:02:26.050049 : Epoch  5, Batch    508, Loss  0.877288, Average Loss  0.867457, Time  0.453333
2021-09-09 10:02:27.970094 : Epoch  5, Batch    509, Loss  0.863858, Average Loss  0.867468, Time  0.451225
2021-09-09 10:02:29.915871 : Epoch  5, Batch    510, Loss  0.852645, Average Loss  0.867394, Time  0.457910
2021-09-09 10:02:31.702240 : Epoch  5, Batch    511, Loss  0.824842, Average Loss  0.867333, Time  0.358697
2021-09-09 10:02:33.627861 : Epoch  5, Batch    512, Loss  0.887760, Average Loss  0.867412, Time  0.413989
2021-09-09 10:02:35.505000 : Epoch  5, Batch    513, Loss  0.882217, Average Loss  0.867441, Time  0.399465
2021-09-09 10:02:37.433837 : Epoch  5, Batch    514, Loss  0.859252, Average Loss  0.867446, Time  0.441358
2021-09-09 10:02:39.290789 : Epoch  5, Batch    515, Loss  0.845838, Average Loss  0.867262, Time  0.388604
2021-09-09 10:02:41.154778 : Epoch  5, Batch    516, Loss  0.866221, Average Loss  0.867190, Time  0.377268
2021-09-09 10:02:43.012784 : Epoch  5, Batch    517, Loss  0.850269, Average Loss  0.867134, Time  0.384515
2021-09-09 10:02:44.889857 : Epoch  5, Batch    518, Loss  0.875254, Average Loss  0.867164, Time  0.402091
2021-09-09 10:02:46.825529 : Epoch  5, Batch    519, Loss  0.830421, Average Loss  0.866875, Time  0.452261
2021-09-09 10:02:48.693196 : Epoch  5, Batch    520, Loss  0.884948, Average Loss  0.867173, Time  0.391629
2021-09-09 10:02:50.552437 : Epoch  5, Batch    521, Loss  0.847799, Average Loss  0.867136, Time  0.385753
2021-09-09 10:02:52.547096 : Epoch  5, Batch    522, Loss  0.902159, Average Loss  0.867146, Time  0.472636
2021-09-09 10:02:54.449184 : Epoch  5, Batch    523, Loss  0.861413, Average Loss  0.866921, Time  0.390911
2021-09-09 10:02:56.301549 : Epoch  5, Batch    524, Loss  0.841949, Average Loss  0.866735, Time  0.381817
2021-09-09 10:02:58.100050 : Epoch  5, Batch    525, Loss  0.845092, Average Loss  0.866573, Time  0.342708
2021-09-09 10:02:59.919776 : Epoch  5, Batch    526, Loss  0.874413, Average Loss  0.866648, Time  0.361043
2021-09-09 10:03:01.743181 : Epoch  5, Batch    527, Loss  0.827515, Average Loss  0.866450, Time  0.366001
2021-09-09 10:03:03.564828 : Epoch  5, Batch    528, Loss  0.891775, Average Loss  0.866467, Time  0.367521
2021-09-09 10:03:05.454775 : Epoch  5, Batch    529, Loss  0.902382, Average Loss  0.866696, Time  0.436370
2021-09-09 10:03:07.273188 : Epoch  5, Batch    530, Loss  0.863288, Average Loss  0.866794, Time  0.347502
2021-09-09 10:03:09.108016 : Epoch  5, Batch    531, Loss  0.866574, Average Loss  0.866921, Time  0.390505
2021-09-09 10:03:11.061787 : Epoch  5, Batch    532, Loss  0.871067, Average Loss  0.867036, Time  0.366804
2021-09-09 10:03:12.981207 : Epoch  5, Batch    533, Loss  0.853023, Average Loss  0.866911, Time  0.401809
2021-09-09 10:03:14.875823 : Epoch  5, Batch    534, Loss  0.856900, Average Loss  0.866760, Time  0.356618
2021-09-09 10:03:16.685172 : Epoch  5, Batch    535, Loss  0.892431, Average Loss  0.866959, Time  0.358298
2021-09-09 10:03:18.485338 : Epoch  5, Batch    536, Loss  0.854086, Average Loss  0.866913, Time  0.373489
2021-09-09 10:03:20.282609 : Epoch  5, Batch    537, Loss  0.834471, Average Loss  0.866711, Time  0.356425
2021-09-09 10:03:22.180773 : Epoch  5, Batch    538, Loss  0.884029, Average Loss  0.866794, Time  0.404315
2021-09-09 10:03:23.971770 : Epoch  5, Batch    539, Loss  0.879397, Average Loss  0.866931, Time  0.355843
2021-09-09 10:03:25.823371 : Epoch  5, Batch    540, Loss  0.870469, Average Loss  0.866933, Time  0.386838
2021-09-09 10:03:27.610865 : Epoch  5, Batch    541, Loss  0.889977, Average Loss  0.866935, Time  0.333487
2021-09-09 10:03:29.441741 : Epoch  5, Batch    542, Loss  0.837445, Average Loss  0.866860, Time  0.418058
2021-09-09 10:03:31.313834 : Epoch  5, Batch    543, Loss  0.866124, Average Loss  0.867021, Time  0.385193
2021-09-09 10:03:33.167811 : Epoch  5, Batch    544, Loss  0.853886, Average Loss  0.866853, Time  0.388103
2021-09-09 10:03:35.053540 : Epoch  5, Batch    545, Loss  0.863165, Average Loss  0.866852, Time  0.404955
2021-09-09 10:03:36.902003 : Epoch  5, Batch    546, Loss  0.872279, Average Loss  0.866743, Time  0.390380
2021-09-09 10:03:38.844007 : Epoch  5, Batch    547, Loss  0.833041, Average Loss  0.866641, Time  0.470987
2021-09-09 10:03:40.701092 : Epoch  5, Batch    548, Loss  0.877368, Average Loss  0.866640, Time  0.391421
2021-09-09 10:03:42.577409 : Epoch  5, Batch    549, Loss  0.910519, Average Loss  0.867006, Time  0.378890
2021-09-09 10:03:44.449800 : Epoch  5, Batch    550, Loss  0.870789, Average Loss  0.866964, Time  0.380998
2021-09-09 10:03:46.323787 : Epoch  5, Batch    551, Loss  0.890413, Average Loss  0.867089, Time  0.403917
2021-09-09 10:03:48.198801 : Epoch  5, Batch    552, Loss  0.874092, Average Loss  0.867136, Time  0.409520
2021-09-09 10:03:49.988906 : Epoch  5, Batch    553, Loss  0.860206, Average Loss  0.867209, Time  0.359174
2021-09-09 10:03:51.887800 : Epoch  5, Batch    554, Loss  0.869513, Average Loss  0.867145, Time  0.467989
2021-09-09 10:03:53.713159 : Epoch  5, Batch    555, Loss  0.883253, Average Loss  0.867285, Time  0.357880
2021-09-09 10:03:55.585840 : Epoch  5, Batch    556, Loss  0.852139, Average Loss  0.867291, Time  0.391818
2021-09-09 10:08:50.549733 : CheckPoint: Validation Loss  0.00061467, Best Loss  0.00056427
2021-09-09 10:08:52.439012 : Epoch  5, Batch    557, Loss  0.867696, Average Loss  0.867282, Time  0.410079
2021-09-09 10:08:54.269020 : Epoch  5, Batch    558, Loss  0.872706, Average Loss  0.867374, Time  0.364551
2021-09-09 10:08:56.125946 : Epoch  5, Batch    559, Loss  0.865851, Average Loss  0.867415, Time  0.396347
2021-09-09 10:08:57.995253 : Epoch  5, Batch    560, Loss  0.884009, Average Loss  0.867447, Time  0.371074
2021-09-09 10:08:59.859880 : Epoch  5, Batch    561, Loss  0.870547, Average Loss  0.867516, Time  0.378682
2021-09-09 10:09:01.693796 : Epoch  5, Batch    562, Loss  0.901614, Average Loss  0.867807, Time  0.361855
2021-09-09 10:09:03.619806 : Epoch  5, Batch    563, Loss  0.875701, Average Loss  0.867775, Time  0.447647
2021-09-09 10:09:05.472810 : Epoch  5, Batch    564, Loss  0.868852, Average Loss  0.867783, Time  0.363024
2021-09-09 10:09:07.450810 : Epoch  5, Batch    565, Loss  0.882413, Average Loss  0.867775, Time  0.419595
2021-09-09 10:09:09.310974 : Epoch  5, Batch    566, Loss  0.863379, Average Loss  0.867673, Time  0.374977
2021-09-09 10:09:11.180804 : Epoch  5, Batch    567, Loss  0.862077, Average Loss  0.867666, Time  0.381848
2021-09-09 10:09:13.080789 : Epoch  5, Batch    568, Loss  0.862206, Average Loss  0.867688, Time  0.404182
2021-09-09 10:09:14.953776 : Epoch  5, Batch    569, Loss  0.857178, Average Loss  0.867592, Time  0.388778
2021-09-09 10:09:16.841803 : Epoch  5, Batch    570, Loss  0.858382, Average Loss  0.867535, Time  0.401622
2021-09-09 10:09:18.742955 : Epoch  5, Batch    571, Loss  0.850059, Average Loss  0.867602, Time  0.435434
2021-09-09 10:09:20.625171 : Epoch  5, Batch    572, Loss  0.879528, Average Loss  0.867868, Time  0.395009
2021-09-09 10:09:22.492835 : Epoch  5, Batch    573, Loss  0.879862, Average Loss  0.867896, Time  0.397419
2021-09-09 10:09:24.343793 : Epoch  5, Batch    574, Loss  0.898705, Average Loss  0.868031, Time  0.378956
2021-09-09 10:09:26.194513 : Epoch  5, Batch    575, Loss  0.876225, Average Loss  0.868054, Time  0.380225
2021-09-09 10:09:28.058990 : Epoch  5, Batch    576, Loss  0.873025, Average Loss  0.868119, Time  0.392220
2021-09-09 10:09:29.920842 : Epoch  5, Batch    577, Loss  0.844451, Average Loss  0.867996, Time  0.362647
2021-09-09 10:09:31.714785 : Epoch  5, Batch    578, Loss  0.863450, Average Loss  0.867741, Time  0.376387
2021-09-09 10:09:33.557937 : Epoch  5, Batch    579, Loss  0.868641, Average Loss  0.867703, Time  0.370216
2021-09-09 10:09:35.334962 : Epoch  5, Batch    580, Loss  0.873649, Average Loss  0.867803, Time  0.347711
2021-09-09 10:09:37.399805 : Epoch  5, Batch    581, Loss  0.878781, Average Loss  0.868013, Time  0.496724
2021-09-09 10:09:39.303848 : Epoch  5, Batch    582, Loss  0.896397, Average Loss  0.868093, Time  0.392858
2021-09-09 10:09:41.146285 : Epoch  5, Batch    583, Loss  0.861523, Average Loss  0.867995, Time  0.382642
2021-09-09 10:09:43.010820 : Epoch  5, Batch    584, Loss  0.894584, Average Loss  0.868117, Time  0.392168
2021-09-09 10:09:44.866182 : Epoch  5, Batch    585, Loss  0.859863, Average Loss  0.868073, Time  0.392677
2021-09-09 10:09:46.733962 : Epoch  5, Batch    586, Loss  0.861453, Average Loss  0.868080, Time  0.409336
2021-09-09 10:09:48.516420 : Epoch  5, Batch    587, Loss  0.892021, Average Loss  0.868241, Time  0.355736
2021-09-09 10:09:50.430963 : Epoch  5, Batch    588, Loss  0.845475, Average Loss  0.868065, Time  0.418758
2021-09-09 10:09:52.351458 : Epoch  5, Batch    589, Loss  0.873835, Average Loss  0.868212, Time  0.423174
2021-09-09 10:09:54.084834 : Epoch  5, Batch    590, Loss  0.848722, Average Loss  0.868088, Time  0.327366
2021-09-09 10:09:55.901959 : Epoch  5, Batch    591, Loss  0.886546, Average Loss  0.868117, Time  0.397780
2021-09-09 10:09:57.675775 : Epoch  5, Batch    592, Loss  0.858908, Average Loss  0.868032, Time  0.350784
2021-09-09 10:09:59.462913 : Epoch  5, Batch    593, Loss  0.855569, Average Loss  0.867860, Time  0.359146
2021-09-09 10:10:01.265966 : Epoch  5, Batch    594, Loss  0.897142, Average Loss  0.867898, Time  0.372005
2021-09-09 10:10:03.195116 : Epoch  5, Batch    595, Loss  0.892330, Average Loss  0.868307, Time  0.397662
2021-09-09 10:10:05.059843 : Epoch  5, Batch    596, Loss  0.848335, Average Loss  0.868303, Time  0.395404
2021-09-09 10:10:06.944803 : Epoch  5, Batch    597, Loss  0.866772, Average Loss  0.868308, Time  0.411215
2021-09-09 10:10:08.740788 : Epoch  5, Batch    598, Loss  0.842439, Average Loss  0.868245, Time  0.353898
2021-09-09 10:10:10.610906 : Epoch  5, Batch    599, Loss  0.879111, Average Loss  0.868357, Time  0.442572
2021-09-09 10:10:12.348750 : Epoch  5, Batch    600, Loss  0.867229, Average Loss  0.868406, Time  0.306574
2021-09-09 10:10:14.143194 : Epoch  5, Batch    601, Loss  0.908545, Average Loss  0.868645, Time  0.347278
2021-09-09 10:10:16.074968 : Epoch  5, Batch    602, Loss  0.863863, Average Loss  0.868496, Time  0.419146
2021-09-09 10:10:17.916653 : Epoch  5, Batch    603, Loss  0.843332, Average Loss  0.868391, Time  0.396199
2021-09-09 10:10:19.828804 : Epoch  5, Batch    604, Loss  0.854045, Average Loss  0.868230, Time  0.429751
2021-09-09 10:10:21.722864 : Epoch  5, Batch    605, Loss  0.855692, Average Loss  0.868066, Time  0.405971
2021-09-09 10:10:23.541792 : Epoch  5, Batch    606, Loss  0.849568, Average Loss  0.868011, Time  0.351778
2021-09-09 10:10:25.511802 : Epoch  5, Batch    607, Loss  0.862808, Average Loss  0.867933, Time  0.489827
2021-09-09 10:10:27.373149 : Epoch  5, Batch    608, Loss  0.896945, Average Loss  0.868127, Time  0.398159
2021-09-09 10:10:29.190897 : Epoch  5, Batch    609, Loss  0.862268, Average Loss  0.868099, Time  0.370944
2021-09-09 10:10:31.029785 : Epoch  5, Batch    610, Loss  0.884506, Average Loss  0.868403, Time  0.381443
2021-09-09 10:10:32.891923 : Epoch  5, Batch    611, Loss  0.897101, Average Loss  0.868458, Time  0.395075
2021-09-09 10:10:34.788850 : Epoch  5, Batch    612, Loss  0.846460, Average Loss  0.868284, Time  0.434373
2021-09-09 10:10:36.653096 : Epoch  5, Batch    613, Loss  0.838751, Average Loss  0.868118, Time  0.394285
2021-09-09 10:10:38.590042 : Epoch  5, Batch    614, Loss  0.848111, Average Loss  0.867967, Time  0.468551
2021-09-09 10:10:40.385928 : Epoch  5, Batch    615, Loss  0.855318, Average Loss  0.867912, Time  0.364759
2021-09-09 10:10:42.157328 : Epoch  5, Batch    616, Loss  0.884048, Average Loss  0.867998, Time  0.350143
2021-09-09 10:10:44.092129 : Epoch  5, Batch    617, Loss  0.845810, Average Loss  0.867979, Time  0.459889
2021-09-09 10:10:45.919865 : Epoch  5, Batch    618, Loss  0.864902, Average Loss  0.867992, Time  0.376075
2021-09-09 10:10:47.733132 : Epoch  5, Batch    619, Loss  0.867356, Average Loss  0.868033, Time  0.378983
2021-09-09 10:10:49.680892 : Epoch  5, Batch    620, Loss  0.857736, Average Loss  0.867996, Time  0.484299
2021-09-09 10:10:51.499303 : Epoch  5, Batch    621, Loss  0.884936, Average Loss  0.868021, Time  0.360730
2021-09-09 10:10:53.257580 : Epoch  5, Batch    622, Loss  0.897890, Average Loss  0.868222, Time  0.336032
2021-09-09 10:10:55.098777 : Epoch  5, Batch    623, Loss  0.871938, Average Loss  0.868211, Time  0.423399
2021-09-09 10:10:56.883258 : Epoch  5, Batch    624, Loss  0.859768, Average Loss  0.868132, Time  0.355895
2021-09-09 10:10:58.716846 : Epoch  5, Batch    625, Loss  0.873732, Average Loss  0.868239, Time  0.425601
2021-09-09 10:11:00.464773 : Epoch  5, Batch    626, Loss  0.860676, Average Loss  0.867974, Time  0.340381
2021-09-09 10:11:02.234790 : Epoch  5, Batch    627, Loss  0.854781, Average Loss  0.868012, Time  0.351958
2021-09-09 10:11:04.001845 : Epoch  5, Batch    628, Loss  0.864256, Average Loss  0.867936, Time  0.358672
2021-09-09 10:11:05.761105 : Epoch  5, Batch    629, Loss  0.883946, Average Loss  0.867963, Time  0.344756
2021-09-09 10:11:07.558779 : Epoch  5, Batch    630, Loss  0.859719, Average Loss  0.867862, Time  0.359565
2021-09-09 10:11:09.358830 : Epoch  5, Batch    631, Loss  0.878701, Average Loss  0.867901, Time  0.343669
2021-09-09 10:11:11.215195 : Epoch  5, Batch    632, Loss  0.870788, Average Loss  0.867952, Time  0.437444
2021-09-09 10:11:12.986374 : Epoch  5, Batch    633, Loss  0.843967, Average Loss  0.867823, Time  0.349376
2021-09-09 10:11:14.872216 : Epoch  5, Batch    634, Loss  0.881620, Average Loss  0.867879, Time  0.397798
2021-09-09 10:11:16.826783 : Epoch  5, Batch    635, Loss  0.888368, Average Loss  0.868102, Time  0.472026
2021-09-09 10:11:18.700836 : Epoch  5, Batch    636, Loss  0.840298, Average Loss  0.867889, Time  0.401910
2021-09-09 10:11:20.578798 : Epoch  5, Batch    637, Loss  0.893129, Average Loss  0.868075, Time  0.404749
2021-09-09 10:11:22.550318 : Epoch  5, Batch    638, Loss  0.880441, Average Loss  0.868058, Time  0.450207
2021-09-09 10:11:24.461942 : Epoch  5, Batch    639, Loss  0.865475, Average Loss  0.868023, Time  0.413454
2021-09-09 10:11:26.313939 : Epoch  5, Batch    640, Loss  0.852294, Average Loss  0.867844, Time  0.383542
2021-09-09 10:11:28.162031 : Epoch  5, Batch    641, Loss  0.880946, Average Loss  0.867848, Time  0.376581
2021-09-09 10:11:29.965041 : Epoch  5, Batch    642, Loss  0.874402, Average Loss  0.867983, Time  0.363544
2021-09-09 10:11:32.003129 : Epoch  5, Batch    643, Loss  0.849237, Average Loss  0.867896, Time  0.495155
2021-09-09 10:11:33.913790 : Epoch  5, Batch    644, Loss  0.881551, Average Loss  0.867900, Time  0.383476
2021-09-09 10:11:35.844782 : Epoch  5, Batch    645, Loss  0.850705, Average Loss  0.867790, Time  0.415385
2021-09-09 10:11:37.757475 : Epoch  5, Batch    646, Loss  0.861544, Average Loss  0.867887, Time  0.442290
2021-09-09 10:11:39.626112 : Epoch  5, Batch    647, Loss  0.864015, Average Loss  0.867785, Time  0.383017
2021-09-09 10:11:41.411263 : Epoch  5, Batch    648, Loss  0.855595, Average Loss  0.867729, Time  0.349807
2021-09-09 10:11:43.423849 : Epoch  5, Batch    649, Loss  0.834698, Average Loss  0.867534, Time  0.463407
2021-09-09 10:11:45.324562 : Epoch  5, Batch    650, Loss  0.870903, Average Loss  0.867471, Time  0.341169
2021-09-09 10:11:47.234900 : Epoch  5, Batch    651, Loss  0.858988, Average Loss  0.867551, Time  0.381341
2021-09-09 10:11:49.149835 : Epoch  5, Batch    652, Loss  0.832117, Average Loss  0.867374, Time  0.423323
2021-09-09 10:11:51.046019 : Epoch  5, Batch    653, Loss  0.893520, Average Loss  0.867391, Time  0.350359
2021-09-09 10:11:52.873911 : Epoch  5, Batch    654, Loss  0.909282, Average Loss  0.867702, Time  0.388441
2021-09-09 10:11:54.702841 : Epoch  5, Batch    655, Loss  0.846113, Average Loss  0.867479, Time  0.348424
2021-09-09 10:11:56.496818 : Epoch  5, Batch    656, Loss  0.851355, Average Loss  0.867342, Time  0.359224
2021-09-09 10:16:52.122100 : CheckPoint: Validation Loss  0.00058690, Best Loss  0.00056427
2021-09-09 10:16:53.942784 : Epoch  5, Batch    657, Loss  0.878264, Average Loss  0.867358, Time  0.362987
2021-09-09 10:16:55.738854 : Epoch  5, Batch    658, Loss  0.878092, Average Loss  0.867490, Time  0.360204
2021-09-09 10:16:57.640807 : Epoch  5, Batch    659, Loss  0.877950, Average Loss  0.867761, Time  0.406895
2021-09-09 10:16:59.506784 : Epoch  5, Batch    660, Loss  0.866196, Average Loss  0.867831, Time  0.387893
2021-09-09 10:17:01.347839 : Epoch  5, Batch    661, Loss  0.852882, Average Loss  0.867673, Time  0.379544
2021-09-09 10:17:03.282932 : Epoch  5, Batch    662, Loss  0.865253, Average Loss  0.867662, Time  0.454506
2021-09-09 10:17:05.131984 : Epoch  5, Batch    663, Loss  0.872789, Average Loss  0.867821, Time  0.385542
2021-09-09 10:17:06.983782 : Epoch  5, Batch    664, Loss  0.861130, Average Loss  0.867694, Time  0.387362
2021-09-09 10:17:08.830746 : Epoch  5, Batch    665, Loss  0.906860, Average Loss  0.867720, Time  0.357008
2021-09-09 10:17:10.620014 : Epoch  5, Batch    666, Loss  0.879460, Average Loss  0.867847, Time  0.356360
2021-09-09 10:17:12.456116 : Epoch  5, Batch    667, Loss  0.846139, Average Loss  0.867860, Time  0.389990
2021-09-09 10:17:14.261231 : Epoch  5, Batch    668, Loss  0.866572, Average Loss  0.867930, Time  0.348561
2021-09-09 10:17:16.075863 : Epoch  5, Batch    669, Loss  0.869462, Average Loss  0.867906, Time  0.355398
2021-09-09 10:17:17.861803 : Epoch  5, Batch    670, Loss  0.876796, Average Loss  0.867933, Time  0.346005
2021-09-09 10:17:19.650782 : Epoch  5, Batch    671, Loss  0.876492, Average Loss  0.867989, Time  0.354846
2021-09-09 10:17:21.461991 : Epoch  5, Batch    672, Loss  0.844052, Average Loss  0.867863, Time  0.347347
2021-09-09 10:17:23.399463 : Epoch  5, Batch    673, Loss  0.849502, Average Loss  0.867794, Time  0.385514
2021-09-09 10:17:25.282852 : Epoch  5, Batch    674, Loss  0.871131, Average Loss  0.867825, Time  0.415694
2021-09-09 10:17:27.122129 : Epoch  5, Batch    675, Loss  0.830535, Average Loss  0.867731, Time  0.353436
2021-09-09 10:17:28.996776 : Epoch  5, Batch    676, Loss  0.842880, Average Loss  0.867455, Time  0.451295
2021-09-09 10:17:30.774792 : Epoch  5, Batch    677, Loss  0.898175, Average Loss  0.867698, Time  0.336246
2021-09-09 10:17:32.566145 : Epoch  5, Batch    678, Loss  0.894608, Average Loss  0.867928, Time  0.350326
2021-09-09 10:17:34.372686 : Epoch  5, Batch    679, Loss  0.887218, Average Loss  0.868043, Time  0.368193
2021-09-09 10:17:36.280637 : Epoch  5, Batch    680, Loss  0.859805, Average Loss  0.867937, Time  0.396502
2021-09-09 10:17:38.187315 : Epoch  5, Batch    681, Loss  0.868045, Average Loss  0.867927, Time  0.421870
2021-09-09 10:17:40.049798 : Epoch  5, Batch    682, Loss  0.876752, Average Loss  0.868091, Time  0.398627
2021-09-09 10:17:41.952450 : Epoch  5, Batch    683, Loss  0.854989, Average Loss  0.867907, Time  0.397854
2021-09-09 10:17:43.903793 : Epoch  5, Batch    684, Loss  0.862333, Average Loss  0.867892, Time  0.475949
2021-09-09 10:17:45.802390 : Epoch  5, Batch    685, Loss  0.904056, Average Loss  0.868014, Time  0.396025
2021-09-09 10:17:47.688786 : Epoch  5, Batch    686, Loss  0.899950, Average Loss  0.868093, Time  0.392064
2021-09-09 10:17:49.659941 : Epoch  5, Batch    687, Loss  0.870487, Average Loss  0.868088, Time  0.487996
2021-09-09 10:17:51.529968 : Epoch  5, Batch    688, Loss  0.839053, Average Loss  0.867850, Time  0.397228
2021-09-09 10:17:53.378939 : Epoch  5, Batch    689, Loss  0.838944, Average Loss  0.867781, Time  0.375056
2021-09-09 10:17:55.221248 : Epoch  5, Batch    690, Loss  0.878170, Average Loss  0.867861, Time  0.378790
2021-09-09 10:17:57.105354 : Epoch  5, Batch    691, Loss  0.852574, Average Loss  0.867809, Time  0.374775
2021-09-09 10:17:58.893603 : Epoch  5, Batch    692, Loss  0.818188, Average Loss  0.867546, Time  0.364379
2021-09-09 10:18:00.767890 : Epoch  5, Batch    693, Loss  0.897748, Average Loss  0.867531, Time  0.395133
2021-09-09 10:18:02.570841 : Epoch  5, Batch    694, Loss  0.835645, Average Loss  0.867469, Time  0.331005
2021-09-09 10:18:04.370791 : Epoch  5, Batch    695, Loss  0.844210, Average Loss  0.867342, Time  0.366381
2021-09-09 10:18:06.127786 : Epoch  5, Batch    696, Loss  0.890110, Average Loss  0.867533, Time  0.329728
2021-09-09 10:18:07.959167 : Epoch  5, Batch    697, Loss  0.858294, Average Loss  0.867569, Time  0.395309
2021-09-09 10:18:09.820780 : Epoch  5, Batch    698, Loss  0.885959, Average Loss  0.867620, Time  0.378840
2021-09-09 10:18:11.700931 : Epoch  5, Batch    699, Loss  0.861620, Average Loss  0.867571, Time  0.397861
2021-09-09 10:18:13.654371 : Epoch  5, Batch    700, Loss  0.886995, Average Loss  0.867780, Time  0.469783
2021-09-09 10:18:15.538178 : Epoch  5, Batch    701, Loss  0.866801, Average Loss  0.867700, Time  0.397339
2021-09-09 10:18:17.421241 : Epoch  5, Batch    702, Loss  0.856019, Average Loss  0.867574, Time  0.389413
2021-09-09 10:18:19.407461 : Epoch  5, Batch    703, Loss  0.890597, Average Loss  0.867688, Time  0.461860
2021-09-09 10:18:21.286798 : Epoch  5, Batch    704, Loss  0.865204, Average Loss  0.867565, Time  0.384610
2021-09-09 10:18:23.240234 : Epoch  5, Batch    705, Loss  0.880451, Average Loss  0.867686, Time  0.401060
2021-09-09 10:18:25.217912 : Epoch  5, Batch    706, Loss  0.903682, Average Loss  0.867771, Time  0.482975
2021-09-09 10:18:27.002946 : Epoch  5, Batch    707, Loss  0.883448, Average Loss  0.867820, Time  0.331333
2021-09-09 10:18:28.887556 : Epoch  5, Batch    708, Loss  0.849539, Average Loss  0.867681, Time  0.389910
2021-09-09 10:18:30.700832 : Epoch  5, Batch    709, Loss  0.879199, Average Loss  0.867758, Time  0.388929
2021-09-09 10:18:32.562784 : Epoch  5, Batch    710, Loss  0.892100, Average Loss  0.867955, Time  0.369580
2021-09-09 10:18:34.365801 : Epoch  5, Batch    711, Loss  0.867280, Average Loss  0.868167, Time  0.377201
2021-09-09 10:18:36.152937 : Epoch  5, Batch    712, Loss  0.855204, Average Loss  0.868004, Time  0.356142
2021-09-09 10:18:37.959336 : Epoch  5, Batch    713, Loss  0.865237, Average Loss  0.867919, Time  0.358853
2021-09-09 10:18:39.869984 : Epoch  5, Batch    714, Loss  0.849473, Average Loss  0.867870, Time  0.428463
2021-09-09 10:18:41.670384 : Epoch  5, Batch    715, Loss  0.862998, Average Loss  0.867956, Time  0.370236
2021-09-09 10:18:43.543017 : Epoch  5, Batch    716, Loss  0.866089, Average Loss  0.867956, Time  0.390262
2021-09-09 10:18:45.429396 : Epoch  5, Batch    717, Loss  0.861912, Average Loss  0.868014, Time  0.400381
2021-09-09 10:18:47.290000 : Epoch  5, Batch    718, Loss  0.867473, Average Loss  0.867975, Time  0.394701
2021-09-09 10:18:49.228000 : Epoch  5, Batch    719, Loss  0.867892, Average Loss  0.868162, Time  0.459553
2021-09-09 10:18:51.139783 : Epoch  5, Batch    720, Loss  0.899890, Average Loss  0.868237, Time  0.397288
2021-09-09 10:18:53.069056 : Epoch  5, Batch    721, Loss  0.878942, Average Loss  0.868393, Time  0.417044
2021-09-09 10:18:54.989303 : Epoch  5, Batch    722, Loss  0.866006, Average Loss  0.868212, Time  0.413915
2021-09-09 10:18:56.806238 : Epoch  5, Batch    723, Loss  0.885457, Average Loss  0.868332, Time  0.365169
2021-09-09 10:18:58.631423 : Epoch  5, Batch    724, Loss  0.839521, Average Loss  0.868320, Time  0.406076
2021-09-09 10:19:00.436778 : Epoch  5, Batch    725, Loss  0.911776, Average Loss  0.868653, Time  0.361435
2021-09-09 10:19:02.274871 : Epoch  5, Batch    726, Loss  0.891533, Average Loss  0.868739, Time  0.413898
2021-09-09 10:19:04.147107 : Epoch  5, Batch    727, Loss  0.863120, Average Loss  0.868917, Time  0.375241
2021-09-09 10:19:05.935067 : Epoch  5, Batch    728, Loss  0.879639, Average Loss  0.868856, Time  0.360358
2021-09-09 10:19:07.893796 : Epoch  5, Batch    729, Loss  0.864393, Average Loss  0.868666, Time  0.480642
2021-09-09 10:19:09.870246 : Epoch  5, Batch    730, Loss  0.886338, Average Loss  0.868782, Time  0.398539
2021-09-09 10:19:11.799256 : Epoch  5, Batch    731, Loss  0.864956, Average Loss  0.868774, Time  0.396548
2021-09-09 10:19:13.694913 : Epoch  5, Batch    732, Loss  0.864199, Average Loss  0.868739, Time  0.410321
2021-09-09 10:19:15.572088 : Epoch  5, Batch    733, Loss  0.880575, Average Loss  0.868877, Time  0.392520
2021-09-09 10:19:17.470875 : Epoch  5, Batch    734, Loss  0.875033, Average Loss  0.868968, Time  0.390385
2021-09-09 10:19:19.316418 : Epoch  5, Batch    735, Loss  0.844901, Average Loss  0.868730, Time  0.383515
2021-09-09 10:19:21.160265 : Epoch  5, Batch    736, Loss  0.872288, Average Loss  0.868821, Time  0.369760
2021-09-09 10:19:23.030319 : Epoch  5, Batch    737, Loss  0.882561, Average Loss  0.869061, Time  0.398949
2021-09-09 10:19:24.903783 : Epoch  5, Batch    738, Loss  0.856713, Average Loss  0.868925, Time  0.394371
2021-09-09 10:19:26.799253 : Epoch  5, Batch    739, Loss  0.904593, Average Loss  0.869051, Time  0.434051
2021-09-09 10:19:28.648825 : Epoch  5, Batch    740, Loss  0.843221, Average Loss  0.868915, Time  0.388456
2021-09-09 10:19:30.574776 : Epoch  5, Batch    741, Loss  0.872669, Average Loss  0.868828, Time  0.445498
2021-09-09 10:19:32.360148 : Epoch  5, Batch    742, Loss  0.865532, Average Loss  0.868969, Time  0.340114
2021-09-09 10:19:34.141882 : Epoch  5, Batch    743, Loss  0.895730, Average Loss  0.869117, Time  0.330390
2021-09-09 10:19:36.028450 : Epoch  5, Batch    744, Loss  0.865054, Average Loss  0.869172, Time  0.408731
2021-09-09 10:19:37.823787 : Epoch  5, Batch    745, Loss  0.874625, Average Loss  0.869230, Time  0.348674
2021-09-09 10:19:39.596824 : Epoch  5, Batch    746, Loss  0.877068, Average Loss  0.869254, Time  0.346480
2021-09-09 10:19:41.582806 : Epoch  5, Batch    747, Loss  0.883706, Average Loss  0.869507, Time  0.489233
2021-09-09 10:19:43.502774 : Epoch  5, Batch    748, Loss  0.866138, Average Loss  0.869451, Time  0.363241
2021-09-09 10:19:45.439049 : Epoch  5, Batch    749, Loss  0.852093, Average Loss  0.869159, Time  0.424224
2021-09-09 10:19:47.321784 : Epoch  5, Batch    750, Loss  0.848336, Average Loss  0.869046, Time  0.377800
2021-09-09 10:19:49.208936 : Epoch  5, Batch    751, Loss  0.874841, Average Loss  0.868969, Time  0.401335
2021-09-09 10:19:51.112796 : Epoch  5, Batch    752, Loss  0.859339, Average Loss  0.868895, Time  0.423799
2021-09-09 10:19:53.133310 : Epoch  5, Batch    753, Loss  0.861563, Average Loss  0.868902, Time  0.521348
2021-09-09 10:19:54.882812 : Epoch  5, Batch    754, Loss  0.880642, Average Loss  0.868957, Time  0.312768
2021-09-09 10:19:56.751217 : Epoch  5, Batch    755, Loss  0.875839, Average Loss  0.868920, Time  0.387502
2021-09-09 10:19:58.534786 : Epoch  5, Batch    756, Loss  0.875572, Average Loss  0.869037, Time  0.349393
2021-09-09 10:24:53.180717 : CheckPoint: Validation Loss  0.00062853, Best Loss  0.00056427
2021-09-09 10:24:54.960545 : Epoch  5, Batch    757, Loss  0.883778, Average Loss  0.869118, Time  0.342266
2021-09-09 10:24:56.824967 : Epoch  5, Batch    758, Loss  0.882000, Average Loss  0.869164, Time  0.415866
2021-09-09 10:24:58.713812 : Epoch  5, Batch    759, Loss  0.886142, Average Loss  0.869266, Time  0.401783
2021-09-09 10:25:00.566848 : Epoch  5, Batch    760, Loss  0.878792, Average Loss  0.869240, Time  0.379748
2021-09-09 10:25:02.444777 : Epoch  5, Batch    761, Loss  0.910914, Average Loss  0.869441, Time  0.410777
2021-09-09 10:25:04.219827 : Epoch  5, Batch    762, Loss  0.850202, Average Loss  0.869184, Time  0.353053
2021-09-09 10:25:05.992277 : Epoch  5, Batch    763, Loss  0.888543, Average Loss  0.869249, Time  0.332628
2021-09-09 10:25:07.763867 : Epoch  5, Batch    764, Loss  0.894258, Average Loss  0.869376, Time  0.334009
2021-09-09 10:25:09.538929 : Epoch  5, Batch    765, Loss  0.893948, Average Loss  0.869433, Time  0.352890
2021-09-09 10:25:11.296144 : Epoch  5, Batch    766, Loss  0.876739, Average Loss  0.869500, Time  0.320189
2021-09-09 10:25:13.165835 : Epoch  5, Batch    767, Loss  0.866591, Average Loss  0.869523, Time  0.395213
2021-09-09 10:25:15.082805 : Epoch  5, Batch    768, Loss  0.882739, Average Loss  0.869625, Time  0.451663
2021-09-09 10:25:16.899825 : Epoch  5, Batch    769, Loss  0.843593, Average Loss  0.869557, Time  0.362231
2021-09-09 10:25:18.793898 : Epoch  5, Batch    770, Loss  0.845713, Average Loss  0.869494, Time  0.394350
2021-09-09 10:25:20.651364 : Epoch  5, Batch    771, Loss  0.874633, Average Loss  0.869617, Time  0.368794
2021-09-09 10:25:22.502789 : Epoch  5, Batch    772, Loss  0.878181, Average Loss  0.869610, Time  0.384299
2021-09-09 10:25:24.472979 : Epoch  5, Batch    773, Loss  0.822741, Average Loss  0.869325, Time  0.485773
2021-09-09 10:25:26.285808 : Epoch  5, Batch    774, Loss  0.873944, Average Loss  0.869201, Time  0.350447
2021-09-09 10:25:28.102198 : Epoch  5, Batch    775, Loss  0.889737, Average Loss  0.869268, Time  0.361303
2021-09-09 10:25:29.972800 : Epoch  5, Batch    776, Loss  0.896472, Average Loss  0.869386, Time  0.374585
2021-09-09 10:25:31.829791 : Epoch  5, Batch    777, Loss  0.893646, Average Loss  0.869632, Time  0.386658
2021-09-09 10:25:33.753395 : Epoch  5, Batch    778, Loss  0.885625, Average Loss  0.869742, Time  0.399725
2021-09-09 10:25:35.622804 : Epoch  5, Batch    779, Loss  0.892447, Average Loss  0.869861, Time  0.403387
2021-09-09 10:25:37.487963 : Epoch  5, Batch    780, Loss  0.871821, Average Loss  0.869852, Time  0.401219
2021-09-09 10:25:39.437795 : Epoch  5, Batch    781, Loss  0.874814, Average Loss  0.869832, Time  0.472636
2021-09-09 10:25:41.320844 : Epoch  5, Batch    782, Loss  0.861326, Average Loss  0.869657, Time  0.400192
2021-09-09 10:25:43.228644 : Epoch  5, Batch    783, Loss  0.850516, Average Loss  0.869602, Time  0.413042
2021-09-09 10:25:45.123798 : Epoch  5, Batch    784, Loss  0.874286, Average Loss  0.869501, Time  0.420596
2021-09-09 10:25:46.916318 : Epoch  5, Batch    785, Loss  0.827016, Average Loss  0.869336, Time  0.347910
2021-09-09 10:25:48.828837 : Epoch  5, Batch    786, Loss  0.849261, Average Loss  0.869275, Time  0.453153
2021-09-09 10:25:50.582775 : Epoch  5, Batch    787, Loss  0.872118, Average Loss  0.869176, Time  0.331842
2021-09-09 10:25:52.363778 : Epoch  5, Batch    788, Loss  0.864006, Average Loss  0.869269, Time  0.345776
2021-09-09 10:25:54.227134 : Epoch  5, Batch    789, Loss  0.873335, Average Loss  0.869266, Time  0.394815
2021-09-09 10:25:56.204806 : Epoch  5, Batch    790, Loss  0.836421, Average Loss  0.869204, Time  0.390612
2021-09-09 10:25:58.097792 : Epoch  5, Batch    791, Loss  0.869760, Average Loss  0.869121, Time  0.416739
2021-09-09 10:25:59.968558 : Epoch  5, Batch    792, Loss  0.878971, Average Loss  0.869221, Time  0.395033
2021-09-09 10:26:01.722813 : Epoch  5, Batch    793, Loss  0.868451, Average Loss  0.869285, Time  0.323436
2021-09-09 10:26:03.610112 : Epoch  5, Batch    794, Loss  0.863262, Average Loss  0.869116, Time  0.423151
2021-09-09 10:26:05.400776 : Epoch  5, Batch    795, Loss  0.871947, Average Loss  0.869014, Time  0.365639
2021-09-09 10:26:07.188969 : Epoch  5, Batch    796, Loss  0.890083, Average Loss  0.869223, Time  0.356336
2021-09-09 10:26:09.017711 : Epoch  5, Batch    797, Loss  0.879319, Average Loss  0.869285, Time  0.402777
2021-09-09 10:26:10.823218 : Epoch  5, Batch    798, Loss  0.895334, Average Loss  0.869550, Time  0.358807
2021-09-09 10:26:12.713009 : Epoch  5, Batch    799, Loss  0.848364, Average Loss  0.869396, Time  0.446040
2021-09-09 10:26:14.755843 : Epoch  5, Batch    800, Loss  0.858297, Average Loss  0.869352, Time  0.403195
2021-09-09 10:26:16.626081 : Epoch  5, Batch    801, Loss  0.844908, Average Loss  0.869033, Time  0.398689
2021-09-09 10:26:18.553726 : Epoch  5, Batch    802, Loss  0.869360, Average Loss  0.869061, Time  0.455033
2021-09-09 10:26:20.357786 : Epoch  5, Batch    803, Loss  0.843201, Average Loss  0.869060, Time  0.339188
2021-09-09 10:26:22.210867 : Epoch  5, Batch    804, Loss  0.847378, Average Loss  0.869027, Time  0.409682
2021-09-09 10:26:24.022975 : Epoch  5, Batch    805, Loss  0.869997, Average Loss  0.869098, Time  0.347266
2021-09-09 10:26:25.830996 : Epoch  5, Batch    806, Loss  0.844886, Average Loss  0.869075, Time  0.341523
2021-09-09 10:26:27.655792 : Epoch  5, Batch    807, Loss  0.886803, Average Loss  0.869195, Time  0.387918
2021-09-09 10:26:29.455195 : Epoch  5, Batch    808, Loss  0.833133, Average Loss  0.868876, Time  0.359963
2021-09-09 10:26:31.332769 : Epoch  5, Batch    809, Loss  0.874323, Average Loss  0.868936, Time  0.426544
2021-09-09 10:26:33.225834 : Epoch  5, Batch    810, Loss  0.849859, Average Loss  0.868763, Time  0.384400
2021-09-09 10:26:35.103815 : Epoch  5, Batch    811, Loss  0.840743, Average Loss  0.868481, Time  0.393641
2021-09-09 10:26:36.939079 : Epoch  5, Batch    812, Loss  0.862078, Average Loss  0.868559, Time  0.357796
2021-09-09 10:26:38.788776 : Epoch  5, Batch    813, Loss  0.889238, Average Loss  0.868812, Time  0.351374
2021-09-09 10:26:40.580737 : Epoch  5, Batch    814, Loss  0.868090, Average Loss  0.868912, Time  0.359157
2021-09-09 10:26:42.382780 : Epoch  5, Batch    815, Loss  0.871337, Average Loss  0.868992, Time  0.356685
2021-09-09 10:26:44.219846 : Epoch  5, Batch    816, Loss  0.884596, Average Loss  0.868994, Time  0.404495
2021-09-09 10:26:46.004343 : Epoch  5, Batch    817, Loss  0.850403, Average Loss  0.869017, Time  0.352811
2021-09-09 10:26:47.949108 : Epoch  5, Batch    818, Loss  0.879621, Average Loss  0.869091, Time  0.455224
2021-09-09 10:26:49.825785 : Epoch  5, Batch    819, Loss  0.882538, Average Loss  0.869167, Time  0.420101
2021-09-09 10:26:51.698842 : Epoch  5, Batch    820, Loss  0.865072, Average Loss  0.869204, Time  0.349787
2021-09-09 10:26:53.509246 : Epoch  5, Batch    821, Loss  0.905471, Average Loss  0.869306, Time  0.360968
2021-09-09 10:26:55.328774 : Epoch  5, Batch    822, Loss  0.868893, Average Loss  0.869161, Time  0.377327
2021-09-09 10:26:57.239724 : Epoch  5, Batch    823, Loss  0.888059, Average Loss  0.869242, Time  0.400293
2021-09-09 10:26:59.195289 : Epoch  5, Batch    824, Loss  0.867906, Average Loss  0.869283, Time  0.462479
2021-09-09 10:27:01.001310 : Epoch  5, Batch    825, Loss  0.878461, Average Loss  0.869306, Time  0.353428
2021-09-09 10:27:02.791946 : Epoch  5, Batch    826, Loss  0.866343, Average Loss  0.869334, Time  0.356774
2021-09-09 10:27:04.599131 : Epoch  5, Batch    827, Loss  0.873986, Average Loss  0.869431, Time  0.352746
2021-09-09 10:27:06.468795 : Epoch  5, Batch    828, Loss  0.861632, Average Loss  0.869417, Time  0.385792
2021-09-09 10:27:08.441516 : Epoch  5, Batch    829, Loss  0.893715, Average Loss  0.869466, Time  0.479440
2021-09-09 10:27:10.239784 : Epoch  5, Batch    830, Loss  0.841657, Average Loss  0.869376, Time  0.369296
2021-09-09 10:27:12.102982 : Epoch  5, Batch    831, Loss  0.870943, Average Loss  0.869337, Time  0.389794
2021-09-09 10:27:13.996850 : Epoch  5, Batch    832, Loss  0.839321, Average Loss  0.869180, Time  0.403274
2021-09-09 10:27:15.874003 : Epoch  5, Batch    833, Loss  0.854151, Average Loss  0.869231, Time  0.393271
2021-09-09 10:27:17.843223 : Epoch  5, Batch    834, Loss  0.863340, Average Loss  0.869139, Time  0.495213
2021-09-09 10:27:19.769522 : Epoch  5, Batch    835, Loss  0.833050, Average Loss  0.868863, Time  0.443789
2021-09-09 10:27:21.637545 : Epoch  5, Batch    836, Loss  0.846079, Average Loss  0.868892, Time  0.387090
2021-09-09 10:27:23.613848 : Epoch  5, Batch    837, Loss  0.813265, Average Loss  0.868492, Time  0.461421
2021-09-09 10:27:25.521543 : Epoch  5, Batch    838, Loss  0.873901, Average Loss  0.868460, Time  0.397310
2021-09-09 10:27:27.385640 : Epoch  5, Batch    839, Loss  0.851362, Average Loss  0.868389, Time  0.371543
2021-09-09 10:27:29.378319 : Epoch  5, Batch    840, Loss  0.839955, Average Loss  0.868327, Time  0.454769
2021-09-09 10:27:31.177855 : Epoch  5, Batch    841, Loss  0.881602, Average Loss  0.868331, Time  0.341012
2021-09-09 10:27:33.076864 : Epoch  5, Batch    842, Loss  0.850781, Average Loss  0.868213, Time  0.414477
2021-09-09 10:27:34.865572 : Epoch  5, Batch    843, Loss  0.862614, Average Loss  0.868279, Time  0.355505
2021-09-09 10:27:36.688775 : Epoch  5, Batch    844, Loss  0.874208, Average Loss  0.868243, Time  0.348417
2021-09-09 10:27:38.529783 : Epoch  5, Batch    845, Loss  0.856847, Average Loss  0.868273, Time  0.402951
2021-09-09 10:27:40.361777 : Epoch  5, Batch    846, Loss  0.885350, Average Loss  0.868392, Time  0.357137
2021-09-09 10:27:42.177396 : Epoch  5, Batch    847, Loss  0.840285, Average Loss  0.868274, Time  0.357491
2021-09-09 10:27:44.073783 : Epoch  5, Batch    848, Loss  0.871044, Average Loss  0.868351, Time  0.379776
2021-09-09 10:27:45.933783 : Epoch  5, Batch    849, Loss  0.856545, Average Loss  0.868460, Time  0.377993
2021-09-09 10:27:47.813851 : Epoch  5, Batch    850, Loss  0.889116, Average Loss  0.868551, Time  0.413756
2021-09-09 10:27:49.643100 : Epoch  5, Batch    851, Loss  0.853955, Average Loss  0.868526, Time  0.352217
2021-09-09 10:27:51.482988 : Epoch  5, Batch    852, Loss  0.871436, Average Loss  0.868723, Time  0.407674
2021-09-09 10:27:53.276687 : Epoch  5, Batch    853, Loss  0.898837, Average Loss  0.868749, Time  0.362427
2021-09-09 10:27:55.281840 : Epoch  5, Batch    854, Loss  0.860714, Average Loss  0.868507, Time  0.390479
2021-09-09 10:27:57.121048 : Epoch  5, Batch    855, Loss  0.885962, Average Loss  0.868706, Time  0.397640
2021-09-09 10:27:58.894659 : Epoch  5, Batch    856, Loss  0.849270, Average Loss  0.868695, Time  0.352728
2021-09-09 10:32:53.713782 : CheckPoint: Validation Loss  0.00061407, Best Loss  0.00056427
2021-09-09 10:32:55.717844 : Epoch  5, Batch    857, Loss  0.863951, Average Loss  0.868624, Time  0.406819
2021-09-09 10:32:57.617205 : Epoch  5, Batch    858, Loss  0.860748, Average Loss  0.868537, Time  0.441329
2021-09-09 10:32:59.500783 : Epoch  5, Batch    859, Loss  0.886222, Average Loss  0.868578, Time  0.390718
2021-09-09 10:33:01.336973 : Epoch  5, Batch    860, Loss  0.883534, Average Loss  0.868665, Time  0.346202
2021-09-09 10:33:03.338008 : Epoch  5, Batch    861, Loss  0.855476, Average Loss  0.868678, Time  0.527840
2021-09-09 10:33:05.208790 : Epoch  5, Batch    862, Loss  0.865092, Average Loss  0.868677, Time  0.391439
2021-09-09 10:33:07.127785 : Epoch  5, Batch    863, Loss  0.871301, Average Loss  0.868670, Time  0.416760
2021-09-09 10:33:09.074921 : Epoch  5, Batch    864, Loss  0.873880, Average Loss  0.868734, Time  0.462271
2021-09-09 10:33:10.931777 : Epoch  5, Batch    865, Loss  0.901836, Average Loss  0.868708, Time  0.389447
2021-09-09 10:33:12.769784 : Epoch  5, Batch    866, Loss  0.885797, Average Loss  0.868740, Time  0.372919
2021-09-09 10:33:14.720082 : Epoch  5, Batch    867, Loss  0.858113, Average Loss  0.868800, Time  0.473230
2021-09-09 10:33:16.503213 : Epoch  5, Batch    868, Loss  0.890662, Average Loss  0.868920, Time  0.336774
2021-09-09 10:33:18.326807 : Epoch  5, Batch    869, Loss  0.873980, Average Loss  0.868943, Time  0.359281
2021-09-09 10:33:20.157786 : Epoch  5, Batch    870, Loss  0.850849, Average Loss  0.868813, Time  0.356648
2021-09-09 10:33:21.967787 : Epoch  5, Batch    871, Loss  0.847959, Average Loss  0.868671, Time  0.353382
2021-09-09 10:33:23.781784 : Epoch  5, Batch    872, Loss  0.840167, Average Loss  0.868651, Time  0.389288
2021-09-09 10:33:25.654776 : Epoch  5, Batch    873, Loss  0.885287, Average Loss  0.868830, Time  0.336816
2021-09-09 10:33:27.448844 : Epoch  5, Batch    874, Loss  0.855946, Average Loss  0.868754, Time  0.353608
2021-09-09 10:33:29.276483 : Epoch  5, Batch    875, Loss  0.870468, Average Loss  0.868954, Time  0.369877
2021-09-09 10:33:31.078485 : Epoch  5, Batch    876, Loss  0.879621, Average Loss  0.869138, Time  0.355723
2021-09-09 10:33:32.935239 : Epoch  5, Batch    877, Loss  0.877613, Average Loss  0.869035, Time  0.426813
2021-09-09 10:33:34.713786 : Epoch  5, Batch    878, Loss  0.892266, Average Loss  0.869023, Time  0.352285
2021-09-09 10:33:36.511422 : Epoch  5, Batch    879, Loss  0.857565, Average Loss  0.868875, Time  0.352188
2021-09-09 10:33:38.327794 : Epoch  5, Batch    880, Loss  0.850881, Average Loss  0.868830, Time  0.361724
2021-09-09 10:33:40.124800 : Epoch  5, Batch    881, Loss  0.852034, Average Loss  0.868750, Time  0.354528
2021-09-09 10:33:41.957679 : Epoch  5, Batch    882, Loss  0.878199, Average Loss  0.868757, Time  0.415273
2021-09-09 10:33:43.736826 : Epoch  5, Batch    883, Loss  0.905189, Average Loss  0.869008, Time  0.346271
2021-09-09 10:33:45.560140 : Epoch  5, Batch    884, Loss  0.892417, Average Loss  0.869159, Time  0.366540
2021-09-09 10:33:47.393794 : Epoch  5, Batch    885, Loss  0.854893, Average Loss  0.868913, Time  0.402180
2021-09-09 10:33:49.198778 : Epoch  5, Batch    886, Loss  0.876136, Average Loss  0.868794, Time  0.358157
2021-09-09 10:33:51.093673 : Epoch  5, Batch    887, Loss  0.870001, Average Loss  0.868791, Time  0.413607
2021-09-09 10:33:52.889526 : Epoch  5, Batch    888, Loss  0.858988, Average Loss  0.868891, Time  0.333286
2021-09-09 10:33:54.653164 : Epoch  5, Batch    889, Loss  0.882522, Average Loss  0.869109, Time  0.336864
2021-09-09 10:33:56.453875 : Epoch  5, Batch    890, Loss  0.853755, Average Loss  0.868987, Time  0.368267
2021-09-09 10:33:58.237778 : Epoch  5, Batch    891, Loss  0.883026, Average Loss  0.869139, Time  0.355063
2021-09-09 10:34:00.103880 : Epoch  5, Batch    892, Loss  0.873035, Average Loss  0.869413, Time  0.412204
2021-09-09 10:34:01.898042 : Epoch  5, Batch    893, Loss  0.865988, Average Loss  0.869255, Time  0.353223
2021-09-09 10:34:03.709773 : Epoch  5, Batch    894, Loss  0.873799, Average Loss  0.869445, Time  0.397669
2021-09-09 10:34:05.497209 : Epoch  5, Batch    895, Loss  0.888475, Average Loss  0.869667, Time  0.349553
2021-09-09 10:34:07.372781 : Epoch  5, Batch    896, Loss  0.854784, Average Loss  0.869490, Time  0.407889
2021-09-09 10:34:09.400194 : Epoch  5, Batch    897, Loss  0.881413, Average Loss  0.869606, Time  0.395543
2021-09-09 10:34:11.313795 : Epoch  5, Batch    898, Loss  0.906892, Average Loss  0.869710, Time  0.450779
2021-09-09 10:34:13.149849 : Epoch  5, Batch    899, Loss  0.841700, Average Loss  0.869611, Time  0.379775
2021-09-09 10:34:15.030794 : Epoch  5, Batch    900, Loss  0.887815, Average Loss  0.869615, Time  0.393323
2021-09-09 10:34:16.956929 : Epoch  5, Batch    901, Loss  0.865118, Average Loss  0.869606, Time  0.463591
2021-09-09 10:34:18.823993 : Epoch  5, Batch    902, Loss  0.868487, Average Loss  0.869669, Time  0.396870
2021-09-09 10:34:20.733990 : Epoch  5, Batch    903, Loss  0.849639, Average Loss  0.869464, Time  0.399390
2021-09-09 10:34:22.611345 : Epoch  5, Batch    904, Loss  0.860553, Average Loss  0.869441, Time  0.402521
2021-09-09 10:34:24.423285 : Epoch  5, Batch    905, Loss  0.871742, Average Loss  0.869397, Time  0.320995
2021-09-09 10:34:26.298986 : Epoch  5, Batch    906, Loss  0.873609, Average Loss  0.869247, Time  0.438670
2021-09-09 10:34:28.064256 : Epoch  5, Batch    907, Loss  0.872964, Average Loss  0.869194, Time  0.347777
2021-09-09 10:34:29.866792 : Epoch  5, Batch    908, Loss  0.821209, Average Loss  0.869053, Time  0.365587
2021-09-09 10:34:31.684346 : Epoch  5, Batch    909, Loss  0.869820, Average Loss  0.869006, Time  0.343233
2021-09-09 10:34:33.493855 : Epoch  5, Batch    910, Loss  0.857241, Average Loss  0.868832, Time  0.376188
2021-09-09 10:34:35.322207 : Epoch  5, Batch    911, Loss  0.883261, Average Loss  0.868911, Time  0.374512
2021-09-09 10:34:37.097130 : Epoch  5, Batch    912, Loss  0.869379, Average Loss  0.868982, Time  0.337090
2021-09-09 10:34:38.894400 : Epoch  5, Batch    913, Loss  0.882276, Average Loss  0.869068, Time  0.372925
2021-09-09 10:34:40.668291 : Epoch  5, Batch    914, Loss  0.889066, Average Loss  0.869266, Time  0.348722
2021-09-09 10:34:42.456174 : Epoch  5, Batch    915, Loss  0.878993, Average Loss  0.869346, Time  0.342813
2021-09-09 10:34:44.259154 : Epoch  5, Batch    916, Loss  0.823494, Average Loss  0.869133, Time  0.375844
2021-09-09 10:34:46.154786 : Epoch  5, Batch    917, Loss  0.855271, Average Loss  0.869099, Time  0.393936
2021-09-09 10:34:48.031367 : Epoch  5, Batch    918, Loss  0.867622, Average Loss  0.869100, Time  0.397616
2021-09-09 10:34:49.809790 : Epoch  5, Batch    919, Loss  0.895872, Average Loss  0.869240, Time  0.352950
2021-09-09 10:34:51.584796 : Epoch  5, Batch    920, Loss  0.858653, Average Loss  0.869034, Time  0.358133
2021-09-09 10:34:53.388074 : Epoch  5, Batch    921, Loss  0.871940, Average Loss  0.868999, Time  0.369194
2021-09-09 10:34:55.310547 : Epoch  5, Batch    922, Loss  0.833584, Average Loss  0.868837, Time  0.462060
2021-09-09 10:34:57.189804 : Epoch  5, Batch    923, Loss  0.861069, Average Loss  0.868715, Time  0.366664
2021-09-09 10:34:58.964316 : Epoch  5, Batch    924, Loss  0.879589, Average Loss  0.868915, Time  0.340986
2021-09-09 10:35:00.769833 : Epoch  5, Batch    925, Loss  0.875189, Average Loss  0.868732, Time  0.353136
2021-09-09 10:35:02.552817 : Epoch  5, Batch    926, Loss  0.875565, Average Loss  0.868652, Time  0.356326
2021-09-09 10:35:04.388799 : Epoch  5, Batch    927, Loss  0.827837, Average Loss  0.868476, Time  0.416565
2021-09-09 10:35:06.201993 : Epoch  5, Batch    928, Loss  0.852389, Average Loss  0.868340, Time  0.357461
2021-09-09 10:35:08.031791 : Epoch  5, Batch    929, Loss  0.845430, Average Loss  0.868245, Time  0.373786
2021-09-09 10:35:09.926310 : Epoch  5, Batch    930, Loss  0.895647, Average Loss  0.868291, Time  0.460625
2021-09-09 10:35:11.709790 : Epoch  5, Batch    931, Loss  0.877203, Average Loss  0.868353, Time  0.357646
2021-09-09 10:35:13.493373 : Epoch  5, Batch    932, Loss  0.877460, Average Loss  0.868419, Time  0.357286
2021-09-09 10:35:15.289930 : Epoch  5, Batch    933, Loss  0.878025, Average Loss  0.868406, Time  0.354661
2021-09-09 10:35:17.274263 : Epoch  5, Batch    934, Loss  0.882838, Average Loss  0.868445, Time  0.403312
2021-09-09 10:35:19.243467 : Epoch  5, Batch    935, Loss  0.837104, Average Loss  0.868406, Time  0.475581
2021-09-09 10:35:21.112794 : Epoch  5, Batch    936, Loss  0.883184, Average Loss  0.868461, Time  0.404819
2021-09-09 10:35:22.961206 : Epoch  5, Batch    937, Loss  0.864645, Average Loss  0.868371, Time  0.379590
2021-09-09 10:35:24.940895 : Epoch  5, Batch    938, Loss  0.859710, Average Loss  0.868386, Time  0.476533
2021-09-09 10:35:26.847221 : Epoch  5, Batch    939, Loss  0.860136, Average Loss  0.868164, Time  0.426257
2021-09-09 10:35:28.721868 : Epoch  5, Batch    940, Loss  0.868850, Average Loss  0.868292, Time  0.398604
2021-09-09 10:35:30.474451 : Epoch  5, Batch    941, Loss  0.873727, Average Loss  0.868297, Time  0.349790
2021-09-09 10:35:32.303076 : Epoch  5, Batch    942, Loss  0.863672, Average Loss  0.868288, Time  0.383708
2021-09-09 10:35:34.118971 : Epoch  5, Batch    943, Loss  0.861776, Average Loss  0.868118, Time  0.348053
2021-09-09 10:35:35.970441 : Epoch  5, Batch    944, Loss  0.889944, Average Loss  0.868243, Time  0.413088
2021-09-09 10:35:37.818864 : Epoch  5, Batch    945, Loss  0.851273, Average Loss  0.868126, Time  0.374509
2021-09-09 10:35:39.688492 : Epoch  5, Batch    946, Loss  0.840716, Average Loss  0.867944, Time  0.384883
2021-09-09 10:35:41.566567 : Epoch  5, Batch    947, Loss  0.869105, Average Loss  0.867871, Time  0.398037
2021-09-09 10:35:43.415203 : Epoch  5, Batch    948, Loss  0.889642, Average Loss  0.867989, Time  0.384461
2021-09-09 10:35:45.310819 : Epoch  5, Batch    949, Loss  0.879710, Average Loss  0.868127, Time  0.429662
2021-09-09 10:35:47.190288 : Epoch  5, Batch    950, Loss  0.872428, Average Loss  0.868247, Time  0.385411
2021-09-09 10:35:49.071789 : Epoch  5, Batch    951, Loss  0.842150, Average Loss  0.868084, Time  0.405574
2021-09-09 10:35:50.905003 : Epoch  5, Batch    952, Loss  0.837442, Average Loss  0.867974, Time  0.348866
2021-09-09 10:35:52.804795 : Epoch  5, Batch    953, Loss  0.876152, Average Loss  0.868047, Time  0.392352
2021-09-09 10:35:54.755299 : Epoch  5, Batch    954, Loss  0.875749, Average Loss  0.868023, Time  0.447224
2021-09-09 10:35:56.608831 : Epoch  5, Batch    955, Loss  0.863031, Average Loss  0.867959, Time  0.384303
2021-09-09 10:35:58.521402 : Epoch  5, Batch    956, Loss  0.901396, Average Loss  0.868088, Time  0.456766
2021-09-09 10:40:52.470731 : CheckPoint: Validation Loss  0.00061969, Best Loss  0.00056427
2021-09-09 10:40:54.257776 : Epoch  5, Batch    957, Loss  0.852381, Average Loss  0.867931, Time  0.354345
2021-09-09 10:40:56.018777 : Epoch  5, Batch    958, Loss  0.873087, Average Loss  0.867886, Time  0.346111
2021-09-09 10:40:57.801072 : Epoch  5, Batch    959, Loss  0.839138, Average Loss  0.867651, Time  0.357840
2021-09-09 10:40:59.679022 : Epoch  5, Batch    960, Loss  0.876075, Average Loss  0.867638, Time  0.430595
2021-09-09 10:41:01.529925 : Epoch  5, Batch    961, Loss  0.865583, Average Loss  0.867411, Time  0.350766
2021-09-09 10:41:03.320777 : Epoch  5, Batch    962, Loss  0.891283, Average Loss  0.867616, Time  0.354914
2021-09-09 10:41:05.225805 : Epoch  5, Batch    963, Loss  0.877628, Average Loss  0.867562, Time  0.443511
2021-09-09 10:41:07.039966 : Epoch  5, Batch    964, Loss  0.884734, Average Loss  0.867514, Time  0.354686
2021-09-09 10:41:09.002172 : Epoch  5, Batch    965, Loss  0.893099, Average Loss  0.867510, Time  0.403437
2021-09-09 10:41:10.995814 : Epoch  5, Batch    966, Loss  0.843867, Average Loss  0.867346, Time  0.458653
2021-09-09 10:41:12.887844 : Epoch  5, Batch    967, Loss  0.870544, Average Loss  0.867365, Time  0.415239
2021-09-09 10:41:14.777784 : Epoch  5, Batch    968, Loss  0.867311, Average Loss  0.867288, Time  0.399248
2021-09-09 10:41:16.692839 : Epoch  5, Batch    969, Loss  0.885373, Average Loss  0.867497, Time  0.433205
2021-09-09 10:41:18.549791 : Epoch  5, Batch    970, Loss  0.856776, Average Loss  0.867552, Time  0.397831
2021-09-09 10:41:20.431902 : Epoch  5, Batch    971, Loss  0.844777, Average Loss  0.867403, Time  0.398557
2021-09-09 10:41:22.406280 : Epoch  5, Batch    972, Loss  0.894356, Average Loss  0.867484, Time  0.498687
2021-09-09 10:41:24.275619 : Epoch  5, Batch    973, Loss  0.877086, Average Loss  0.867756, Time  0.394598
2021-09-09 10:41:26.184529 : Epoch  5, Batch    974, Loss  0.849783, Average Loss  0.867635, Time  0.382226
2021-09-09 10:41:28.049395 : Epoch  5, Batch    975, Loss  0.866737, Average Loss  0.867520, Time  0.384041
2021-09-09 10:41:29.871832 : Epoch  5, Batch    976, Loss  0.864562, Average Loss  0.867360, Time  0.356697
2021-09-09 10:41:31.611974 : Epoch  5, Batch    977, Loss  0.852422, Average Loss  0.867154, Time  0.334478
2021-09-09 10:41:33.377898 : Epoch  5, Batch    978, Loss  0.872517, Average Loss  0.867089, Time  0.347640
2021-09-09 10:41:35.206842 : Epoch  5, Batch    979, Loss  0.859509, Average Loss  0.866924, Time  0.383044
2021-09-09 10:41:36.999184 : Epoch  5, Batch    980, Loss  0.871602, Average Loss  0.866923, Time  0.361969
2021-09-09 10:41:38.809363 : Epoch  5, Batch    981, Loss  0.892699, Average Loss  0.867012, Time  0.357881
2021-09-09 10:41:40.718146 : Epoch  5, Batch    982, Loss  0.879890, Average Loss  0.867105, Time  0.390364
2021-09-09 10:41:42.498978 : Epoch  5, Batch    983, Loss  0.856642, Average Loss  0.867136, Time  0.351553
2021-09-09 10:41:44.325605 : Epoch  5, Batch    984, Loss  0.813077, Average Loss  0.866830, Time  0.398061
2021-09-09 10:41:46.206801 : Epoch  5, Batch    985, Loss  0.861878, Average Loss  0.867004, Time  0.409611
2021-09-09 10:41:48.071315 : Epoch  5, Batch    986, Loss  0.855055, Average Loss  0.867033, Time  0.395750
2021-09-09 10:41:49.936833 : Epoch  5, Batch    987, Loss  0.872782, Average Loss  0.867036, Time  0.408271
2021-09-09 10:41:51.814837 : Epoch  5, Batch    988, Loss  0.857421, Average Loss  0.867003, Time  0.394705
2021-09-09 10:41:53.789380 : Epoch  5, Batch    989, Loss  0.855467, Average Loss  0.866914, Time  0.476989
2021-09-09 10:41:55.654998 : Epoch  5, Batch    990, Loss  0.852637, Average Loss  0.866995, Time  0.400183
2021-09-09 10:41:57.503876 : Epoch  5, Batch    991, Loss  0.823692, Average Loss  0.866765, Time  0.376825
2021-09-09 10:41:59.406408 : Epoch  5, Batch    992, Loss  0.881238, Average Loss  0.866776, Time  0.424235
2021-09-09 10:42:01.185959 : Epoch  5, Batch    993, Loss  0.849321, Average Loss  0.866681, Time  0.336132
2021-09-09 10:42:03.068676 : Epoch  5, Batch    994, Loss  0.878504, Average Loss  0.866757, Time  0.392404
2021-09-09 10:42:05.085465 : Epoch  5, Batch    995, Loss  0.858162, Average Loss  0.866688, Time  0.447662
2021-09-09 10:42:06.888162 : Epoch  5, Batch    996, Loss  0.896390, Average Loss  0.866719, Time  0.365507
2021-09-09 10:42:08.665144 : Epoch  5, Batch    997, Loss  0.841163, Average Loss  0.866529, Time  0.347595
2021-09-09 10:42:10.484811 : Epoch  5, Batch    998, Loss  0.862181, Average Loss  0.866363, Time  0.365526
2021-09-09 10:42:12.243771 : Epoch  5, Batch    999, Loss  0.875157, Average Loss  0.866497, Time  0.341158
2021-09-09 10:42:14.101265 : Epoch  5, Batch   1000, Loss  0.891851, Average Loss  0.866665, Time  0.411289
2021-09-09 10:42:15.877772 : Epoch  5, Batch   1001, Loss  0.878197, Average Loss  0.866831, Time  0.339702
2021-09-09 10:42:17.661891 : Epoch  5, Batch   1002, Loss  0.882230, Average Loss  0.866895, Time  0.349239
2021-09-09 10:42:19.574122 : Epoch  5, Batch   1003, Loss  0.825129, Average Loss  0.866805, Time  0.433326
2021-09-09 10:42:21.447783 : Epoch  5, Batch   1004, Loss  0.864670, Average Loss  0.866891, Time  0.384239
2021-09-09 10:42:23.274491 : Epoch  5, Batch   1005, Loss  0.866982, Average Loss  0.866876, Time  0.366613
2021-09-09 10:42:25.155445 : Epoch  5, Batch   1006, Loss  0.858473, Average Loss  0.866944, Time  0.440423
2021-09-09 10:42:27.018798 : Epoch  5, Batch   1007, Loss  0.902557, Average Loss  0.867023, Time  0.390085
2021-09-09 10:42:28.842265 : Epoch  5, Batch   1008, Loss  0.867927, Average Loss  0.867197, Time  0.345790
2021-09-09 10:42:30.705173 : Epoch  5, Batch   1009, Loss  0.848147, Average Loss  0.867066, Time  0.445247
2021-09-09 10:42:32.479392 : Epoch  5, Batch   1010, Loss  0.884794, Average Loss  0.867241, Time  0.339159
2021-09-09 10:42:34.336224 : Epoch  5, Batch   1011, Loss  0.878805, Average Loss  0.867431, Time  0.391754
2021-09-09 10:42:36.116311 : Epoch  5, Batch   1012, Loss  0.895720, Average Loss  0.867599, Time  0.349668
2021-09-09 10:42:37.907000 : Epoch  5, Batch   1013, Loss  0.882850, Average Loss  0.867567, Time  0.354512
2021-09-09 10:42:39.814050 : Epoch  5, Batch   1014, Loss  0.858619, Average Loss  0.867520, Time  0.453736
2021-09-09 10:42:41.593078 : Epoch  5, Batch   1015, Loss  0.831709, Average Loss  0.867322, Time  0.361061
2021-09-09 10:42:43.376262 : Epoch  5, Batch   1016, Loss  0.864049, Average Loss  0.867219, Time  0.350965
2021-09-09 10:42:45.154778 : Epoch  5, Batch   1017, Loss  0.885758, Average Loss  0.867396, Time  0.352602
2021-09-09 10:42:46.983147 : Epoch  5, Batch   1018, Loss  0.881765, Average Loss  0.867407, Time  0.361790
2021-09-09 10:42:48.914172 : Epoch  5, Batch   1019, Loss  0.859619, Average Loss  0.867292, Time  0.423423
2021-09-09 10:42:50.766339 : Epoch  5, Batch   1020, Loss  0.862639, Average Loss  0.867280, Time  0.372740
2021-09-09 10:42:52.596788 : Epoch  5, Batch   1021, Loss  0.851233, Average Loss  0.867009, Time  0.359181
2021-09-09 10:42:54.481024 : Epoch  5, Batch   1022, Loss  0.880974, Average Loss  0.867069, Time  0.398693
2021-09-09 10:42:56.333003 : Epoch  5, Batch   1023, Loss  0.877243, Average Loss  0.867015, Time  0.390503
2021-09-09 10:42:58.239356 : Epoch  5, Batch   1024, Loss  0.857953, Average Loss  0.866965, Time  0.432565
2021-09-09 10:43:00.090769 : Epoch  5, Batch   1025, Loss  0.876758, Average Loss  0.866957, Time  0.387461
2021-09-09 10:43:01.907940 : Epoch  5, Batch   1026, Loss  0.859908, Average Loss  0.866925, Time  0.351943
2021-09-09 10:43:03.813868 : Epoch  5, Batch   1027, Loss  0.883155, Average Loss  0.866970, Time  0.451165
2021-09-09 10:43:05.637159 : Epoch  5, Batch   1028, Loss  0.877948, Average Loss  0.867052, Time  0.358028
2021-09-09 10:43:07.516000 : Epoch  5, Batch   1029, Loss  0.882627, Average Loss  0.866997, Time  0.431930
2021-09-09 10:43:09.438793 : Epoch  5, Batch   1030, Loss  0.846771, Average Loss  0.867022, Time  0.405697
2021-09-09 10:43:11.320146 : Epoch  5, Batch   1031, Loss  0.880772, Average Loss  0.867071, Time  0.391075
2021-09-09 10:43:13.296385 : Epoch  5, Batch   1032, Loss  0.841168, Average Loss  0.867081, Time  0.481874
2021-09-09 10:43:15.191916 : Epoch  5, Batch   1033, Loss  0.858749, Average Loss  0.867104, Time  0.422080
2021-09-09 10:43:17.036793 : Epoch  5, Batch   1034, Loss  0.855259, Average Loss  0.867063, Time  0.396193
2021-09-09 10:43:18.838787 : Epoch  5, Batch   1035, Loss  0.896348, Average Loss  0.867380, Time  0.369579
2021-09-09 10:43:20.617995 : Epoch  5, Batch   1036, Loss  0.850484, Average Loss  0.867402, Time  0.353580
2021-09-09 10:43:22.575053 : Epoch  5, Batch   1037, Loss  0.867384, Average Loss  0.867672, Time  0.448280
2021-09-09 10:43:24.454226 : Epoch  5, Batch   1038, Loss  0.855012, Average Loss  0.867578, Time  0.396715
2021-09-09 10:43:26.383262 : Epoch  5, Batch   1039, Loss  0.863174, Average Loss  0.867637, Time  0.436241
2021-09-09 10:43:28.258798 : Epoch  5, Batch   1040, Loss  0.870661, Average Loss  0.867790, Time  0.383420
2021-09-09 10:43:30.130949 : Epoch  5, Batch   1041, Loss  0.875475, Average Loss  0.867760, Time  0.392148
2021-09-09 10:43:32.044814 : Epoch  5, Batch   1042, Loss  0.845511, Average Loss  0.867733, Time  0.450898
2021-09-09 10:43:33.916963 : Epoch  5, Batch   1043, Loss  0.872619, Average Loss  0.867783, Time  0.393517
2021-09-09 10:43:35.752965 : Epoch  5, Batch   1044, Loss  0.879030, Average Loss  0.867808, Time  0.376253
2021-09-09 10:43:37.622937 : Epoch  5, Batch   1045, Loss  0.890098, Average Loss  0.867974, Time  0.396125
2021-09-09 10:43:39.493804 : Epoch  5, Batch   1046, Loss  0.884679, Average Loss  0.867970, Time  0.384773
2021-09-09 10:43:41.529002 : Epoch  5, Batch   1047, Loss  0.847668, Average Loss  0.868007, Time  0.469933
2021-09-09 10:43:43.309778 : Epoch  5, Batch   1048, Loss  0.864029, Average Loss  0.867972, Time  0.354385
2021-09-09 10:43:45.203830 : Epoch  5, Batch   1049, Loss  0.873611, Average Loss  0.868058, Time  0.389034
2021-09-09 10:43:47.092792 : Epoch  5, Batch   1050, Loss  0.860564, Average Loss  0.867915, Time  0.418746
2021-09-09 10:43:48.947186 : Epoch  5, Batch   1051, Loss  0.882707, Average Loss  0.868059, Time  0.387272
2021-09-09 10:43:50.814779 : Epoch  5, Batch   1052, Loss  0.857243, Average Loss  0.867988, Time  0.395797
2021-09-09 10:43:52.694687 : Epoch  5, Batch   1053, Loss  0.838013, Average Loss  0.867683, Time  0.393081
2021-09-09 10:43:54.490297 : Epoch  5, Batch   1054, Loss  0.850350, Average Loss  0.867632, Time  0.344049
2021-09-09 10:43:56.357780 : Epoch  5, Batch   1055, Loss  0.875509, Average Loss  0.867579, Time  0.401343
2021-09-09 10:43:58.229802 : Epoch  5, Batch   1056, Loss  0.875515, Average Loss  0.867711, Time  0.416281
2021-09-09 10:48:51.472149 : CheckPoint: Validation Loss  0.00058909, Best Loss  0.00056427
2021-09-09 10:48:53.255779 : Epoch  5, Batch   1057, Loss  0.902056, Average Loss  0.867901, Time  0.337530
2021-09-09 10:48:55.163780 : Epoch  5, Batch   1058, Loss  0.873217, Average Loss  0.867964, Time  0.450435
2021-09-09 10:48:57.043302 : Epoch  5, Batch   1059, Loss  0.905555, Average Loss  0.868060, Time  0.397966
2021-09-09 10:48:58.904783 : Epoch  5, Batch   1060, Loss  0.850011, Average Loss  0.867893, Time  0.355056
2021-09-09 10:49:00.783875 : Epoch  5, Batch   1061, Loss  0.849009, Average Loss  0.867860, Time  0.395901
2021-09-09 10:49:02.641796 : Epoch  5, Batch   1062, Loss  0.858449, Average Loss  0.867827, Time  0.379134
2021-09-09 10:49:04.597960 : Epoch  5, Batch   1063, Loss  0.861196, Average Loss  0.867776, Time  0.451974
2021-09-09 10:49:06.520286 : Epoch  5, Batch   1064, Loss  0.840370, Average Loss  0.867609, Time  0.447809
2021-09-09 10:49:08.412942 : Epoch  5, Batch   1065, Loss  0.846066, Average Loss  0.867330, Time  0.400283
2021-09-09 10:49:10.233386 : Epoch  5, Batch   1066, Loss  0.881973, Average Loss  0.867311, Time  0.402407
2021-09-09 10:49:12.060868 : Epoch  5, Batch   1067, Loss  0.877370, Average Loss  0.867407, Time  0.362247
2021-09-09 10:49:13.833171 : Epoch  5, Batch   1068, Loss  0.883651, Average Loss  0.867372, Time  0.354160
2021-09-09 10:49:15.784920 : Epoch  5, Batch   1069, Loss  0.833007, Average Loss  0.867167, Time  0.396181
2021-09-09 10:49:17.660812 : Epoch  5, Batch   1070, Loss  0.860907, Average Loss  0.867218, Time  0.399724
2021-09-09 10:49:19.658107 : Epoch  5, Batch   1071, Loss  0.879109, Average Loss  0.867373, Time  0.516590
2021-09-09 10:49:21.666814 : Epoch  5, Batch   1072, Loss  0.837984, Average Loss  0.867362, Time  0.420915
2021-09-09 10:49:23.438726 : Epoch  5, Batch   1073, Loss  0.887238, Average Loss  0.867372, Time  0.331782
2021-09-09 10:49:25.248993 : Epoch  5, Batch   1074, Loss  0.863624, Average Loss  0.867411, Time  0.350816
2021-09-09 10:49:27.069052 : Epoch  5, Batch   1075, Loss  0.867935, Average Loss  0.867398, Time  0.345339
2021-09-09 10:49:29.001219 : Epoch  5, Batch   1076, Loss  0.857226, Average Loss  0.867286, Time  0.422320
2021-09-09 10:49:30.894227 : Epoch  5, Batch   1077, Loss  0.849200, Average Loss  0.867144, Time  0.400685
2021-09-09 10:49:32.728794 : Epoch  5, Batch   1078, Loss  0.882817, Average Loss  0.867097, Time  0.355043
2021-09-09 10:49:34.508777 : Epoch  5, Batch   1079, Loss  0.901679, Average Loss  0.867317, Time  0.350211
2021-09-09 10:49:36.294244 : Epoch  5, Batch   1080, Loss  0.912907, Average Loss  0.867627, Time  0.363683
2021-09-09 10:49:38.081775 : Epoch  5, Batch   1081, Loss  0.897497, Average Loss  0.867855, Time  0.354011
2021-09-09 10:49:39.854324 : Epoch  5, Batch   1082, Loss  0.858013, Average Loss  0.867754, Time  0.350719
2021-09-09 10:49:41.649938 : Epoch  5, Batch   1083, Loss  0.891823, Average Loss  0.867687, Time  0.346747
2021-09-09 10:49:43.420996 : Epoch  5, Batch   1084, Loss  0.869780, Average Loss  0.867574, Time  0.353482
2021-09-09 10:49:45.313867 : Epoch  5, Batch   1085, Loss  0.866945, Average Loss  0.867634, Time  0.456267
2021-09-09 10:49:47.188959 : Epoch  5, Batch   1086, Loss  0.877940, Average Loss  0.867643, Time  0.390946
2021-09-09 10:49:49.013248 : Epoch  5, Batch   1087, Loss  0.888746, Average Loss  0.867737, Time  0.380997
2021-09-09 10:49:50.871777 : Epoch  5, Batch   1088, Loss  0.859748, Average Loss  0.867741, Time  0.421556
2021-09-09 10:49:52.720787 : Epoch  5, Batch   1089, Loss  0.849523, Average Loss  0.867576, Time  0.348581
2021-09-09 10:49:54.564800 : Epoch  5, Batch   1090, Loss  0.867919, Average Loss  0.867646, Time  0.392071
2021-09-09 10:49:56.346908 : Epoch  5, Batch   1091, Loss  0.857433, Average Loss  0.867518, Time  0.353250
2021-09-09 10:49:58.108788 : Epoch  5, Batch   1092, Loss  0.856402, Average Loss  0.867435, Time  0.344805
2021-09-09 10:50:00.096841 : Epoch  5, Batch   1093, Loss  0.859540, Average Loss  0.867403, Time  0.429019
2021-09-09 10:50:01.945190 : Epoch  5, Batch   1094, Loss  0.874513, Average Loss  0.867407, Time  0.363636
2021-09-09 10:50:03.745319 : Epoch  5, Batch   1095, Loss  0.868863, Average Loss  0.867309, Time  0.365359
2021-09-09 10:50:05.575286 : Epoch  5, Batch   1096, Loss  0.881279, Average Loss  0.867441, Time  0.399063
2021-09-09 10:50:07.373963 : Epoch  5, Batch   1097, Loss  0.852542, Average Loss  0.867297, Time  0.360913
2021-09-09 10:50:09.383783 : Epoch  5, Batch   1098, Loss  0.899866, Average Loss  0.867261, Time  0.453686
2021-09-09 10:50:11.259966 : Epoch  5, Batch   1099, Loss  0.846995, Average Loss  0.867288, Time  0.400791
2021-09-09 10:50:13.057128 : Epoch  5, Batch   1100, Loss  0.873646, Average Loss  0.867217, Time  0.364253
2021-09-09 10:50:14.928778 : Epoch  5, Batch   1101, Loss  0.880858, Average Loss  0.867296, Time  0.397115
2021-09-09 10:50:16.788239 : Epoch  5, Batch   1102, Loss  0.847373, Average Loss  0.867190, Time  0.397137
2021-09-09 10:50:18.700941 : Epoch  5, Batch   1103, Loss  0.824055, Average Loss  0.867062, Time  0.443328
2021-09-09 10:50:20.569793 : Epoch  5, Batch   1104, Loss  0.841424, Average Loss  0.866967, Time  0.385658
2021-09-09 10:50:22.452298 : Epoch  5, Batch   1105, Loss  0.884091, Average Loss  0.867028, Time  0.395473
2021-09-09 10:50:24.295690 : Epoch  5, Batch   1106, Loss  0.878662, Average Loss  0.867054, Time  0.372058
2021-09-09 10:50:26.087313 : Epoch  5, Batch   1107, Loss  0.887846, Average Loss  0.867128, Time  0.352872
2021-09-09 10:50:27.941090 : Epoch  5, Batch   1108, Loss  0.867313, Average Loss  0.867359, Time  0.373803
2021-09-09 10:50:29.711675 : Epoch  5, Batch   1109, Loss  0.886770, Average Loss  0.867443, Time  0.338405
2021-09-09 10:50:31.622204 : Epoch  5, Batch   1110, Loss  0.858670, Average Loss  0.867451, Time  0.400975
2021-09-09 10:50:33.521440 : Epoch  5, Batch   1111, Loss  0.845103, Average Loss  0.867260, Time  0.399922
2021-09-09 10:50:35.388791 : Epoch  5, Batch   1112, Loss  0.884978, Average Loss  0.867338, Time  0.364198
2021-09-09 10:50:37.319811 : Epoch  5, Batch   1113, Loss  0.874460, Average Loss  0.867299, Time  0.424722
2021-09-09 10:50:39.196197 : Epoch  5, Batch   1114, Loss  0.845424, Average Loss  0.867080, Time  0.379020
2021-09-09 10:50:41.099371 : Epoch  5, Batch   1115, Loss  0.868842, Average Loss  0.867030, Time  0.429409
2021-09-09 10:50:42.961787 : Epoch  5, Batch   1116, Loss  0.872865, Average Loss  0.867277, Time  0.388876
2021-09-09 10:50:44.857054 : Epoch  5, Batch   1117, Loss  0.879201, Average Loss  0.867396, Time  0.389803
2021-09-09 10:50:46.695779 : Epoch  5, Batch   1118, Loss  0.863557, Average Loss  0.867376, Time  0.383628
2021-09-09 10:50:48.565780 : Epoch  5, Batch   1119, Loss  0.896494, Average Loss  0.867379, Time  0.397674
2021-09-09 10:50:50.372273 : Epoch  5, Batch   1120, Loss  0.854551, Average Loss  0.867358, Time  0.325264
2021-09-09 10:50:52.175758 : Epoch  5, Batch   1121, Loss  0.865152, Average Loss  0.867325, Time  0.355701
2021-09-09 10:50:53.983220 : Epoch  5, Batch   1122, Loss  0.875158, Average Loss  0.867532, Time  0.342070
2021-09-09 10:50:55.837828 : Epoch  5, Batch   1123, Loss  0.864116, Average Loss  0.867548, Time  0.427905
2021-09-09 10:50:57.644223 : Epoch  5, Batch   1124, Loss  0.889825, Average Loss  0.867599, Time  0.360730
2021-09-09 10:50:59.449784 : Epoch  5, Batch   1125, Loss  0.873321, Average Loss  0.867589, Time  0.365292
2021-09-09 10:51:01.293687 : Epoch  5, Batch   1126, Loss  0.884243, Average Loss  0.867633, Time  0.383525
2021-09-09 10:51:03.086789 : Epoch  5, Batch   1127, Loss  0.865547, Average Loss  0.867821, Time  0.360030
2021-09-09 10:51:04.916825 : Epoch  5, Batch   1128, Loss  0.907186, Average Loss  0.868095, Time  0.404795
2021-09-09 10:51:06.695348 : Epoch  5, Batch   1129, Loss  0.873783, Average Loss  0.868237, Time  0.333841
2021-09-09 10:51:08.614806 : Epoch  5, Batch   1130, Loss  0.856305, Average Loss  0.868040, Time  0.393047
2021-09-09 10:51:10.488452 : Epoch  5, Batch   1131, Loss  0.887171, Average Loss  0.868090, Time  0.399044
2021-09-09 10:51:12.273830 : Epoch  5, Batch   1132, Loss  0.898890, Average Loss  0.868197, Time  0.361932
2021-09-09 10:51:14.257578 : Epoch  5, Batch   1133, Loss  0.872150, Average Loss  0.868168, Time  0.449360
2021-09-09 10:51:16.186365 : Epoch  5, Batch   1134, Loss  0.899300, Average Loss  0.868250, Time  0.409741
2021-09-09 10:51:18.066964 : Epoch  5, Batch   1135, Loss  0.863564, Average Loss  0.868383, Time  0.402293
2021-09-09 10:51:20.040857 : Epoch  5, Batch   1136, Loss  0.848980, Average Loss  0.868212, Time  0.498065
2021-09-09 10:51:21.888132 : Epoch  5, Batch   1137, Loss  0.861022, Average Loss  0.868194, Time  0.388747
2021-09-09 10:51:23.666173 : Epoch  5, Batch   1138, Loss  0.867713, Average Loss  0.868234, Time  0.341197
2021-09-09 10:51:25.501773 : Epoch  5, Batch   1139, Loss  0.885689, Average Loss  0.868361, Time  0.410187
2021-09-09 10:51:27.318011 : Epoch  5, Batch   1140, Loss  0.865976, Average Loss  0.868347, Time  0.349454
2021-09-09 10:51:29.156821 : Epoch  5, Batch   1141, Loss  0.880090, Average Loss  0.868379, Time  0.386597
2021-09-09 10:51:30.937197 : Epoch  5, Batch   1142, Loss  0.841712, Average Loss  0.868269, Time  0.344966
2021-09-09 10:51:32.714685 : Epoch  5, Batch   1143, Loss  0.843952, Average Loss  0.868180, Time  0.345977
2021-09-09 10:51:34.508826 : Epoch  5, Batch   1144, Loss  0.854606, Average Loss  0.868003, Time  0.350653
2021-09-09 10:51:36.386203 : Epoch  5, Batch   1145, Loss  0.886392, Average Loss  0.868179, Time  0.359047
2021-09-09 10:51:38.235248 : Epoch  5, Batch   1146, Loss  0.844340, Average Loss  0.868197, Time  0.402594
2021-09-09 10:51:40.039642 : Epoch  5, Batch   1147, Loss  0.854877, Average Loss  0.868126, Time  0.362851
2021-09-09 10:51:41.864775 : Epoch  5, Batch   1148, Loss  0.881469, Average Loss  0.868085, Time  0.403520
2021-09-09 10:51:43.646829 : Epoch  5, Batch   1149, Loss  0.842038, Average Loss  0.867897, Time  0.348023
2021-09-09 10:51:45.526785 : Epoch  5, Batch   1150, Loss  0.894605, Average Loss  0.868007, Time  0.431198
2021-09-09 10:51:47.329180 : Epoch  5, Batch   1151, Loss  0.897056, Average Loss  0.868282, Time  0.347905
2021-09-09 10:51:49.166476 : Epoch  5, Batch   1152, Loss  0.893762, Average Loss  0.868564, Time  0.399590
2021-09-09 10:51:51.152839 : Epoch  5, Batch   1153, Loss  0.872648, Average Loss  0.868546, Time  0.470470
2021-09-09 10:51:53.026923 : Epoch  5, Batch   1154, Loss  0.864099, Average Loss  0.868488, Time  0.394612
2021-09-09 10:51:54.945792 : Epoch  5, Batch   1155, Loss  0.844132, Average Loss  0.868393, Time  0.400230
2021-09-09 10:52:02.411039 : Epoch  5, Batch   1156, Loss  0.870570, Average Loss  0.868239, Time  0.381662
2021-09-09 10:56:56.900843 : CheckPoint: Validation Loss  0.00058768, Best Loss  0.00056427
2021-09-09 10:56:58.772834 : Epoch  5, Batch   1157, Loss  0.864111, Average Loss  0.868298, Time  0.390959
2021-09-09 10:57:00.651791 : Epoch  5, Batch   1158, Loss  0.885612, Average Loss  0.868360, Time  0.385800
2021-09-09 10:57:02.605868 : Epoch  5, Batch   1159, Loss  0.855232, Average Loss  0.868441, Time  0.478255
2021-09-09 10:57:04.475835 : Epoch  5, Batch   1160, Loss  0.868228, Average Loss  0.868402, Time  0.390764
2021-09-09 10:57:06.324021 : Epoch  5, Batch   1161, Loss  0.873009, Average Loss  0.868439, Time  0.387357
2021-09-09 10:57:08.199124 : Epoch  5, Batch   1162, Loss  0.886199, Average Loss  0.868413, Time  0.408642
2021-09-09 10:57:10.076817 : Epoch  5, Batch   1163, Loss  0.879933, Average Loss  0.868425, Time  0.374625
2021-09-09 10:57:11.935614 : Epoch  5, Batch   1164, Loss  0.867365, Average Loss  0.868338, Time  0.397210
2021-09-09 10:57:13.779785 : Epoch  5, Batch   1165, Loss  0.839547, Average Loss  0.868070, Time  0.369361
2021-09-09 10:57:15.648969 : Epoch  5, Batch   1166, Loss  0.859874, Average Loss  0.868150, Time  0.395085
2021-09-09 10:57:17.621036 : Epoch  5, Batch   1167, Loss  0.907775, Average Loss  0.868336, Time  0.471950
2021-09-09 10:57:19.440377 : Epoch  5, Batch   1168, Loss  0.851605, Average Loss  0.868258, Time  0.341406
2021-09-09 10:57:21.218003 : Epoch  5, Batch   1169, Loss  0.865232, Average Loss  0.868157, Time  0.344441
2021-09-09 10:57:23.013121 : Epoch  5, Batch   1170, Loss  0.880923, Average Loss  0.868278, Time  0.352616
2021-09-09 10:57:24.874918 : Epoch  5, Batch   1171, Loss  0.877873, Average Loss  0.868443, Time  0.389570
2021-09-09 10:57:26.824837 : Epoch  5, Batch   1172, Loss  0.877104, Average Loss  0.868357, Time  0.488020
2021-09-09 10:57:28.731504 : Epoch  5, Batch   1173, Loss  0.870525, Average Loss  0.868324, Time  0.396512
2021-09-09 10:57:30.593764 : Epoch  5, Batch   1174, Loss  0.879894, Average Loss  0.868475, Time  0.393753
2021-09-09 10:57:32.442451 : Epoch  5, Batch   1175, Loss  0.889135, Average Loss  0.868587, Time  0.402489
2021-09-09 10:57:34.229873 : Epoch  5, Batch   1176, Loss  0.887273, Average Loss  0.868700, Time  0.359173
2021-09-09 10:57:35.988216 : Epoch  5, Batch   1177, Loss  0.884697, Average Loss  0.868862, Time  0.333968
2021-09-09 10:57:37.760096 : Epoch  5, Batch   1178, Loss  0.843580, Average Loss  0.868717, Time  0.358633
2021-09-09 10:57:39.555776 : Epoch  5, Batch   1179, Loss  0.863784, Average Loss  0.868739, Time  0.350253
2021-09-09 10:57:41.454997 : Epoch  5, Batch   1180, Loss  0.896484, Average Loss  0.868863, Time  0.428864
2021-09-09 10:57:43.303815 : Epoch  5, Batch   1181, Loss  0.903110, Average Loss  0.868915, Time  0.362590
2021-09-09 10:57:45.145550 : Epoch  5, Batch   1182, Loss  0.841079, Average Loss  0.868721, Time  0.372144
2021-09-09 10:57:47.082796 : Epoch  5, Batch   1183, Loss  0.876294, Average Loss  0.868819, Time  0.467821
2021-09-09 10:57:48.931698 : Epoch  5, Batch   1184, Loss  0.888951, Average Loss  0.869199, Time  0.378276
2021-09-09 10:57:50.802841 : Epoch  5, Batch   1185, Loss  0.889602, Average Loss  0.869337, Time  0.405170
2021-09-09 10:57:52.747365 : Epoch  5, Batch   1186, Loss  0.880642, Average Loss  0.869465, Time  0.440554
2021-09-09 10:57:54.629036 : Epoch  5, Batch   1187, Loss  0.888880, Average Loss  0.869546, Time  0.396874
2021-09-09 10:57:56.549814 : Epoch  5, Batch   1188, Loss  0.871757, Average Loss  0.869617, Time  0.453785
2021-09-09 10:57:58.441377 : Epoch  5, Batch   1189, Loss  0.893110, Average Loss  0.869806, Time  0.398997
2021-09-09 10:58:00.290984 : Epoch  5, Batch   1190, Loss  0.853555, Average Loss  0.869810, Time  0.385523
2021-09-09 10:58:02.213488 : Epoch  5, Batch   1191, Loss  0.864340, Average Loss  0.870013, Time  0.440315
2021-09-09 10:58:04.101801 : Epoch  5, Batch   1192, Loss  0.875954, Average Loss  0.869987, Time  0.394192
2021-09-09 10:58:05.926846 : Epoch  5, Batch   1193, Loss  0.872230, Average Loss  0.870101, Time  0.374364
2021-09-09 10:58:07.778343 : Epoch  5, Batch   1194, Loss  0.842645, Average Loss  0.869922, Time  0.374053
2021-09-09 10:58:09.634782 : Epoch  5, Batch   1195, Loss  0.855064, Average Loss  0.869907, Time  0.384825
2021-09-09 10:58:11.523669 : Epoch  5, Batch   1196, Loss  0.854431, Average Loss  0.869697, Time  0.433475
2021-09-09 10:58:13.380867 : Epoch  5, Batch   1197, Loss  0.874349, Average Loss  0.869863, Time  0.378641
2021-09-09 10:58:15.243341 : Epoch  5, Batch   1198, Loss  0.862853, Average Loss  0.869866, Time  0.374285
2021-09-09 10:58:17.152775 : Epoch  5, Batch   1199, Loss  0.867479, Average Loss  0.869828, Time  0.395899
2021-09-09 10:58:19.081271 : Epoch  5, Batch   1200, Loss  0.843551, Average Loss  0.869586, Time  0.452340
2021-09-09 10:58:20.948203 : Epoch  5, Batch   1201, Loss  0.846046, Average Loss  0.869426, Time  0.396272
2021-09-09 10:58:22.767849 : Epoch  5, Batch   1202, Loss  0.835328, Average Loss  0.869191, Time  0.375831
2021-09-09 10:58:24.631793 : Epoch  5, Batch   1203, Loss  0.883782, Average Loss  0.869484, Time  0.431683
2021-09-09 10:58:26.412792 : Epoch  5, Batch   1204, Loss  0.871464, Average Loss  0.869518, Time  0.351749
2021-09-09 10:58:28.228847 : Epoch  5, Batch   1205, Loss  0.864739, Average Loss  0.869507, Time  0.368978
2021-09-09 10:58:30.106889 : Epoch  5, Batch   1206, Loss  0.890787, Average Loss  0.869669, Time  0.455006
2021-09-09 10:58:32.005989 : Epoch  5, Batch   1207, Loss  0.885448, Average Loss  0.869583, Time  0.420628
2021-09-09 10:58:33.833804 : Epoch  5, Batch   1208, Loss  0.866276, Average Loss  0.869575, Time  0.355296
2021-09-09 10:58:35.654926 : Epoch  5, Batch   1209, Loss  0.888270, Average Loss  0.869775, Time  0.349338
2021-09-09 10:58:37.434029 : Epoch  5, Batch   1210, Loss  0.867114, Average Loss  0.869687, Time  0.360819
2021-09-09 10:58:39.405511 : Epoch  5, Batch   1211, Loss  0.894423, Average Loss  0.869765, Time  0.426264
2021-09-09 10:58:41.219086 : Epoch  5, Batch   1212, Loss  0.861856, Average Loss  0.869596, Time  0.394972
2021-09-09 10:58:43.119930 : Epoch  5, Batch   1213, Loss  0.885561, Average Loss  0.869609, Time  0.395594
2021-09-09 10:58:45.047785 : Epoch  5, Batch   1214, Loss  0.878041, Average Loss  0.869706, Time  0.438382
2021-09-09 10:58:46.979150 : Epoch  5, Batch   1215, Loss  0.867989, Average Loss  0.869888, Time  0.461373
2021-09-09 10:58:48.785400 : Epoch  5, Batch   1216, Loss  0.874441, Average Loss  0.869940, Time  0.355065
2021-09-09 10:58:50.660486 : Epoch  5, Batch   1217, Loss  0.880194, Average Loss  0.869912, Time  0.429451
2021-09-09 10:58:52.442774 : Epoch  5, Batch   1218, Loss  0.836776, Average Loss  0.869687, Time  0.359821
2021-09-09 10:58:54.310500 : Epoch  5, Batch   1219, Loss  0.872306, Average Loss  0.869750, Time  0.385709
2021-09-09 10:58:56.223812 : Epoch  5, Batch   1220, Loss  0.890726, Average Loss  0.869891, Time  0.459397
2021-09-09 10:58:58.006004 : Epoch  5, Batch   1221, Loss  0.858641, Average Loss  0.869928, Time  0.366616
2021-09-09 10:58:59.920793 : Epoch  5, Batch   1222, Loss  0.863855, Average Loss  0.869842, Time  0.410260
2021-09-09 10:59:01.787057 : Epoch  5, Batch   1223, Loss  0.889098, Average Loss  0.869902, Time  0.363301
2021-09-09 10:59:03.557278 : Epoch  5, Batch   1224, Loss  0.873393, Average Loss  0.869979, Time  0.337874
2021-09-09 10:59:05.376046 : Epoch  5, Batch   1225, Loss  0.903742, Average Loss  0.870114, Time  0.384415
2021-09-09 10:59:07.170078 : Epoch  5, Batch   1226, Loss  0.850256, Average Loss  0.870066, Time  0.343980
2021-09-09 10:59:09.080387 : Epoch  5, Batch   1227, Loss  0.895207, Average Loss  0.870126, Time  0.441879
2021-09-09 10:59:10.902802 : Epoch  5, Batch   1228, Loss  0.889328, Average Loss  0.870183, Time  0.345757
2021-09-09 10:59:12.735714 : Epoch  5, Batch   1229, Loss  0.865302, Average Loss  0.870096, Time  0.398942
2021-09-09 10:59:14.702034 : Epoch  5, Batch   1230, Loss  0.848400, Average Loss  0.870104, Time  0.480693
2021-09-09 10:59:16.504157 : Epoch  5, Batch   1231, Loss  0.888788, Average Loss  0.870144, Time  0.364348
2021-09-09 10:59:18.300899 : Epoch  5, Batch   1232, Loss  0.852426, Average Loss  0.870201, Time  0.351222
2021-09-09 10:59:20.078301 : Epoch  5, Batch   1233, Loss  0.854085, Average Loss  0.870177, Time  0.349875
2021-09-09 10:59:21.955395 : Epoch  5, Batch   1234, Loss  0.909710, Average Loss  0.870449, Time  0.389508
2021-09-09 10:59:23.732142 : Epoch  5, Batch   1235, Loss  0.915880, Average Loss  0.870547, Time  0.346237
2021-09-09 10:59:25.564479 : Epoch  5, Batch   1236, Loss  0.890439, Average Loss  0.870747, Time  0.415670
2021-09-09 10:59:27.336488 : Epoch  5, Batch   1237, Loss  0.870752, Average Loss  0.870764, Time  0.352251
2021-09-09 10:59:29.158714 : Epoch  5, Batch   1238, Loss  0.885463, Average Loss  0.870916, Time  0.349905
2021-09-09 10:59:31.118246 : Epoch  5, Batch   1239, Loss  0.860331, Average Loss  0.870902, Time  0.440555
2021-09-09 10:59:33.002838 : Epoch  5, Batch   1240, Loss  0.880725, Average Loss  0.870952, Time  0.408347
2021-09-09 10:59:34.964260 : Epoch  5, Batch   1241, Loss  0.886973, Average Loss  0.871010, Time  0.456512
2021-09-09 10:59:36.819209 : Epoch  5, Batch   1242, Loss  0.870703, Average Loss  0.871136, Time  0.384681
2021-09-09 10:59:38.728061 : Epoch  5, Batch   1243, Loss  0.898554, Average Loss  0.871265, Time  0.428208
2021-09-09 10:59:40.636532 : Epoch  5, Batch   1244, Loss  0.838633, Average Loss  0.871063, Time  0.450577
2021-09-09 10:59:42.474087 : Epoch  5, Batch   1245, Loss  0.873054, Average Loss  0.870978, Time  0.356694
2021-09-09 10:59:44.346462 : Epoch  5, Batch   1246, Loss  0.869602, Average Loss  0.870903, Time  0.418169
2021-09-09 10:59:46.136366 : Epoch  5, Batch   1247, Loss  0.870574, Average Loss  0.871017, Time  0.349669
2021-09-09 10:59:47.912380 : Epoch  5, Batch   1248, Loss  0.870609, Average Loss  0.871050, Time  0.342055
2021-09-09 10:59:49.691937 : Epoch  5, Batch   1249, Loss  0.860430, Average Loss  0.870984, Time  0.354606
2021-09-09 10:59:51.578092 : Epoch  5, Batch   1250, Loss  0.866788, Average Loss  0.871015, Time  0.368969
2021-09-09 10:59:53.429478 : Epoch  5, Batch   1251, Loss  0.849557, Average Loss  0.870850, Time  0.430832
2021-09-09 10:59:55.231223 : Epoch  5, Batch   1252, Loss  0.916433, Average Loss  0.871146, Time  0.348747
2021-09-09 10:59:57.033916 : Epoch  5, Batch   1253, Loss  0.841252, Average Loss  0.871162, Time  0.381076
2021-09-09 10:59:58.891955 : Epoch  5, Batch   1254, Loss  0.866410, Average Loss  0.871242, Time  0.343748
2021-09-09 11:00:00.786446 : Epoch  5, Batch   1255, Loss  0.873821, Average Loss  0.871234, Time  0.387764
2021-09-09 11:00:02.728172 : Epoch  5, Batch   1256, Loss  0.873133, Average Loss  0.871222, Time  0.456426
2021-09-09 11:04:58.624798 : CheckPoint: Validation Loss  0.00061570, Best Loss  0.00056427
2021-09-09 11:05:00.492223 : Epoch  5, Batch   1257, Loss  0.870925, Average Loss  0.871066, Time  0.396784
2021-09-09 11:05:02.384796 : Epoch  5, Batch   1258, Loss  0.844754, Average Loss  0.870924, Time  0.402294
2021-09-09 11:05:04.291828 : Epoch  5, Batch   1259, Loss  0.868378, Average Loss  0.870738, Time  0.436851
2021-09-09 11:05:06.158711 : Epoch  5, Batch   1260, Loss  0.872571, Average Loss  0.870851, Time  0.395917
2021-09-09 11:05:08.101812 : Epoch  5, Batch   1261, Loss  0.868839, Average Loss  0.870950, Time  0.448736
2021-09-09 11:05:09.941358 : Epoch  5, Batch   1262, Loss  0.848944, Average Loss  0.870902, Time  0.367145
2021-09-09 11:05:11.802236 : Epoch  5, Batch   1263, Loss  0.874337, Average Loss  0.870968, Time  0.397123
2021-09-09 11:05:13.725832 : Epoch  5, Batch   1264, Loss  0.866181, Average Loss  0.871097, Time  0.451732
2021-09-09 11:05:15.572038 : Epoch  5, Batch   1265, Loss  0.903550, Average Loss  0.871384, Time  0.383452
2021-09-09 11:05:17.434341 : Epoch  5, Batch   1266, Loss  0.862032, Average Loss  0.871285, Time  0.390782
2021-09-09 11:05:19.372811 : Epoch  5, Batch   1267, Loss  0.837736, Average Loss  0.871087, Time  0.461816
2021-09-09 11:05:21.223181 : Epoch  5, Batch   1268, Loss  0.857827, Average Loss  0.870957, Time  0.382210
2021-09-09 11:05:23.127797 : Epoch  5, Batch   1269, Loss  0.847339, Average Loss  0.871029, Time  0.418358
2021-09-09 11:05:25.012835 : Epoch  5, Batch   1270, Loss  0.868831, Average Loss  0.871069, Time  0.402107
2021-09-09 11:05:26.867782 : Epoch  5, Batch   1271, Loss  0.848650, Average Loss  0.870916, Time  0.394981
2021-09-09 11:05:28.804871 : Epoch  5, Batch   1272, Loss  0.842844, Average Loss  0.870941, Time  0.465257
2021-09-09 11:05:30.655786 : Epoch  5, Batch   1273, Loss  0.865429, Average Loss  0.870832, Time  0.390459
2021-09-09 11:05:32.513407 : Epoch  5, Batch   1274, Loss  0.865955, Average Loss  0.870843, Time  0.390066
2021-09-09 11:05:34.415230 : Epoch  5, Batch   1275, Loss  0.904357, Average Loss  0.871025, Time  0.429624
2021-09-09 11:05:36.267958 : Epoch  5, Batch   1276, Loss  0.875312, Average Loss  0.871116, Time  0.401431
2021-09-09 11:05:38.130786 : Epoch  5, Batch   1277, Loss  0.876100, Average Loss  0.871250, Time  0.400203
2021-09-09 11:05:39.909792 : Epoch  5, Batch   1278, Loss  0.851233, Average Loss  0.871092, Time  0.340066
2021-09-09 11:05:41.707993 : Epoch  5, Batch   1279, Loss  0.860819, Average Loss  0.870888, Time  0.368188
2021-09-09 11:05:43.619988 : Epoch  5, Batch   1280, Loss  0.866676, Average Loss  0.870657, Time  0.386415
2021-09-09 11:05:45.464785 : Epoch  5, Batch   1281, Loss  0.854340, Average Loss  0.870441, Time  0.367269
2021-09-09 11:05:47.257823 : Epoch  5, Batch   1282, Loss  0.892833, Average Loss  0.870615, Time  0.353175
2021-09-09 11:05:49.203112 : Epoch  5, Batch   1283, Loss  0.874303, Average Loss  0.870528, Time  0.395761
2021-09-09 11:05:51.044954 : Epoch  5, Batch   1284, Loss  0.827272, Average Loss  0.870315, Time  0.360241
2021-09-09 11:05:52.990848 : Epoch  5, Batch   1285, Loss  0.873027, Average Loss  0.870346, Time  0.469961
2021-09-09 11:05:54.800134 : Epoch  5, Batch   1286, Loss  0.832797, Average Loss  0.870120, Time  0.348964
2021-09-09 11:05:56.694777 : Epoch  5, Batch   1287, Loss  0.880753, Average Loss  0.870080, Time  0.389698
2021-09-09 11:05:58.571415 : Epoch  5, Batch   1288, Loss  0.881174, Average Loss  0.870187, Time  0.403829
2021-09-09 11:06:00.431008 : Epoch  5, Batch   1289, Loss  0.885004, Average Loss  0.870364, Time  0.382956
2021-09-09 11:06:02.292314 : Epoch  5, Batch   1290, Loss  0.891267, Average Loss  0.870481, Time  0.371579
2021-09-09 11:06:04.140803 : Epoch  5, Batch   1291, Loss  0.851717, Average Loss  0.870453, Time  0.355834
2021-09-09 11:06:06.035611 : Epoch  5, Batch   1292, Loss  0.866526, Average Loss  0.870503, Time  0.476382
2021-09-09 11:06:07.940888 : Epoch  5, Batch   1293, Loss  0.885045, Average Loss  0.870631, Time  0.416924
2021-09-09 11:06:09.816785 : Epoch  5, Batch   1294, Loss  0.888707, Average Loss  0.870702, Time  0.397619
2021-09-09 11:06:11.780945 : Epoch  5, Batch   1295, Loss  0.857159, Average Loss  0.870643, Time  0.487241
2021-09-09 11:06:13.666365 : Epoch  5, Batch   1296, Loss  0.884725, Average Loss  0.870660, Time  0.406139
2021-09-09 11:06:15.555536 : Epoch  5, Batch   1297, Loss  0.878425, Average Loss  0.870790, Time  0.403931
2021-09-09 11:06:17.460001 : Epoch  5, Batch   1298, Loss  0.867932, Average Loss  0.870630, Time  0.400843
2021-09-09 11:06:19.341216 : Epoch  5, Batch   1299, Loss  0.878777, Average Loss  0.870789, Time  0.398969
2021-09-09 11:06:21.129577 : Epoch  5, Batch   1300, Loss  0.884222, Average Loss  0.870842, Time  0.359509
2021-09-09 11:06:22.996421 : Epoch  5, Batch   1301, Loss  0.856771, Average Loss  0.870721, Time  0.436512
2021-09-09 11:06:24.856286 : Epoch  5, Batch   1302, Loss  0.868492, Average Loss  0.870827, Time  0.391859
2021-09-09 11:06:26.647165 : Epoch  5, Batch   1303, Loss  0.880347, Average Loss  0.871109, Time  0.367182
2021-09-09 11:06:28.483807 : Epoch  5, Batch   1304, Loss  0.888570, Average Loss  0.871344, Time  0.393850
2021-09-09 11:06:30.266224 : Epoch  5, Batch   1305, Loss  0.841056, Average Loss  0.871129, Time  0.354637
2021-09-09 11:06:32.086879 : Epoch  5, Batch   1306, Loss  0.885966, Average Loss  0.871166, Time  0.386671
2021-09-09 11:06:33.915250 : Epoch  5, Batch   1307, Loss  0.838265, Average Loss  0.870918, Time  0.379924
2021-09-09 11:06:35.691198 : Epoch  5, Batch   1308, Loss  0.884235, Average Loss  0.871002, Time  0.339739
2021-09-09 11:06:37.548308 : Epoch  5, Batch   1309, Loss  0.883498, Average Loss  0.870986, Time  0.419078
2021-09-09 11:06:39.337343 : Epoch  5, Batch   1310, Loss  0.903571, Average Loss  0.871210, Time  0.344762
2021-09-09 11:06:41.105343 : Epoch  5, Batch   1311, Loss  0.887686, Average Loss  0.871423, Time  0.338018
2021-09-09 11:06:42.889764 : Epoch  5, Batch   1312, Loss  0.825442, Average Loss  0.871126, Time  0.331876
2021-09-09 11:06:44.689173 : Epoch  5, Batch   1313, Loss  0.870837, Average Loss  0.871108, Time  0.367496
2021-09-09 11:06:46.471861 : Epoch  5, Batch   1314, Loss  0.876036, Average Loss  0.871261, Time  0.348339
2021-09-09 11:06:48.308850 : Epoch  5, Batch   1315, Loss  0.879284, Average Loss  0.871313, Time  0.380462
2021-09-09 11:06:50.125775 : Epoch  5, Batch   1316, Loss  0.841814, Average Loss  0.871158, Time  0.390004
2021-09-09 11:06:51.910934 : Epoch  5, Batch   1317, Loss  0.887598, Average Loss  0.871200, Time  0.350440
2021-09-09 11:06:53.790955 : Epoch  5, Batch   1318, Loss  0.861036, Average Loss  0.871187, Time  0.407404
2021-09-09 11:06:55.746218 : Epoch  5, Batch   1319, Loss  0.887051, Average Loss  0.871140, Time  0.421538
2021-09-09 11:06:57.655998 : Epoch  5, Batch   1320, Loss  0.856605, Average Loss  0.871150, Time  0.387454
2021-09-09 11:06:59.600211 : Epoch  5, Batch   1321, Loss  0.872499, Average Loss  0.871187, Time  0.455793
2021-09-09 11:07:01.479240 : Epoch  5, Batch   1322, Loss  0.877938, Average Loss  0.871201, Time  0.386951
2021-09-09 11:07:03.400510 : Epoch  5, Batch   1323, Loss  0.838056, Average Loss  0.871070, Time  0.388005
2021-09-09 11:07:05.350496 : Epoch  5, Batch   1324, Loss  0.890505, Average Loss  0.871074, Time  0.448740
2021-09-09 11:07:07.231168 : Epoch  5, Batch   1325, Loss  0.849849, Average Loss  0.870956, Time  0.388769
2021-09-09 11:07:09.120023 : Epoch  5, Batch   1326, Loss  0.820147, Average Loss  0.870636, Time  0.420307
2021-09-09 11:07:11.043793 : Epoch  5, Batch   1327, Loss  0.877175, Average Loss  0.870694, Time  0.438107
2021-09-09 11:07:12.840101 : Epoch  5, Batch   1328, Loss  0.847370, Average Loss  0.870395, Time  0.349263
2021-09-09 11:07:14.684278 : Epoch  5, Batch   1329, Loss  0.863286, Average Loss  0.870343, Time  0.426256
2021-09-09 11:07:16.494172 : Epoch  5, Batch   1330, Loss  0.862259, Average Loss  0.870372, Time  0.351969
2021-09-09 11:07:18.287183 : Epoch  5, Batch   1331, Loss  0.852882, Average Loss  0.870201, Time  0.351259
2021-09-09 11:07:20.044142 : Epoch  5, Batch   1332, Loss  0.894030, Average Loss  0.870177, Time  0.342083
2021-09-09 11:07:21.862777 : Epoch  5, Batch   1333, Loss  0.870634, Average Loss  0.870169, Time  0.354561
2021-09-09 11:07:23.762269 : Epoch  5, Batch   1334, Loss  0.870420, Average Loss  0.870025, Time  0.440561
2021-09-09 11:07:25.572791 : Epoch  5, Batch   1335, Loss  0.839650, Average Loss  0.869905, Time  0.360198
2021-09-09 11:07:27.343984 : Epoch  5, Batch   1336, Loss  0.878397, Average Loss  0.870052, Time  0.333261
2021-09-09 11:07:29.124702 : Epoch  5, Batch   1337, Loss  0.866780, Average Loss  0.870081, Time  0.343535
2021-09-09 11:07:31.023210 : Epoch  5, Batch   1338, Loss  0.847975, Average Loss  0.869982, Time  0.397501
2021-09-09 11:07:32.951541 : Epoch  5, Batch   1339, Loss  0.876858, Average Loss  0.869938, Time  0.452230
2021-09-09 11:07:34.842792 : Epoch  5, Batch   1340, Loss  0.891913, Average Loss  0.870068, Time  0.399620
2021-09-09 11:07:36.755508 : Epoch  5, Batch   1341, Loss  0.839888, Average Loss  0.869867, Time  0.432583
2021-09-09 11:07:38.663792 : Epoch  5, Batch   1342, Loss  0.861413, Average Loss  0.869965, Time  0.424169
2021-09-09 11:07:40.462914 : Epoch  5, Batch   1343, Loss  0.883068, Average Loss  0.870161, Time  0.358577
2021-09-09 11:07:42.379792 : Epoch  5, Batch   1344, Loss  0.865245, Average Loss  0.870214, Time  0.456747
2021-09-09 11:07:44.218966 : Epoch  5, Batch   1345, Loss  0.905329, Average Loss  0.870309, Time  0.367136
2021-09-09 11:07:46.066787 : Epoch  5, Batch   1346, Loss  0.856282, Average Loss  0.870368, Time  0.358387
2021-09-09 11:07:47.890789 : Epoch  5, Batch   1347, Loss  0.848479, Average Loss  0.870336, Time  0.399046
2021-09-09 11:07:49.695145 : Epoch  5, Batch   1348, Loss  0.865901, Average Loss  0.870259, Time  0.349753
2021-09-09 11:07:51.558878 : Epoch  5, Batch   1349, Loss  0.841728, Average Loss  0.870257, Time  0.426153
2021-09-09 11:07:53.350743 : Epoch  5, Batch   1350, Loss  0.870126, Average Loss  0.870135, Time  0.342853
2021-09-09 11:07:55.160988 : Epoch  5, Batch   1351, Loss  0.874960, Average Loss  0.870024, Time  0.353114
2021-09-09 11:07:57.086328 : Epoch  5, Batch   1352, Loss  0.862001, Average Loss  0.869865, Time  0.436029
2021-09-09 11:07:58.877187 : Epoch  5, Batch   1353, Loss  0.859080, Average Loss  0.869797, Time  0.351042
2021-09-09 11:08:00.674309 : Epoch  5, Batch   1354, Loss  0.847627, Average Loss  0.869715, Time  0.357829
2021-09-09 11:08:02.585517 : Epoch  5, Batch   1355, Loss  0.869619, Average Loss  0.869843, Time  0.411625
2021-09-09 11:08:04.441257 : Epoch  5, Batch   1356, Loss  0.892431, Average Loss  0.869952, Time  0.403547
2021-09-09 11:12:59.280715 : CheckPoint: Validation Loss  0.00057541, Best Loss  0.00056427
2021-09-09 11:13:01.129871 : Epoch  5, Batch   1357, Loss  0.846194, Average Loss  0.869862, Time  0.416607
2021-09-09 11:13:02.991783 : Epoch  5, Batch   1358, Loss  0.839449, Average Loss  0.869631, Time  0.358223
2021-09-09 11:13:04.813011 : Epoch  5, Batch   1359, Loss  0.881673, Average Loss  0.869764, Time  0.344387
2021-09-09 11:13:06.597182 : Epoch  5, Batch   1360, Loss  0.871628, Average Loss  0.869781, Time  0.354910
2021-09-09 11:13:08.371786 : Epoch  5, Batch   1361, Loss  0.871238, Average Loss  0.869772, Time  0.344835
2021-09-09 11:13:10.207789 : Epoch  5, Batch   1362, Loss  0.836580, Average Loss  0.869524, Time  0.390833
2021-09-09 11:13:12.034914 : Epoch  5, Batch   1363, Loss  0.860205, Average Loss  0.869425, Time  0.358992
2021-09-09 11:13:13.879987 : Epoch  5, Batch   1364, Loss  0.880349, Average Loss  0.869490, Time  0.405341
2021-09-09 11:13:15.741794 : Epoch  5, Batch   1365, Loss  0.854203, Average Loss  0.869563, Time  0.409250
2021-09-09 11:13:17.666805 : Epoch  5, Batch   1366, Loss  0.871848, Average Loss  0.869623, Time  0.452153
2021-09-09 11:13:19.465824 : Epoch  5, Batch   1367, Loss  0.864388, Average Loss  0.869406, Time  0.353170
2021-09-09 11:13:21.259817 : Epoch  5, Batch   1368, Loss  0.895553, Average Loss  0.869626, Time  0.352956
2021-09-09 11:13:23.038799 : Epoch  5, Batch   1369, Loss  0.830764, Average Loss  0.869454, Time  0.355028
2021-09-09 11:13:24.807347 : Epoch  5, Batch   1370, Loss  0.906358, Average Loss  0.869581, Time  0.348249
2021-09-09 11:13:26.742875 : Epoch  5, Batch   1371, Loss  0.863882, Average Loss  0.869511, Time  0.432476
2021-09-09 11:13:28.609163 : Epoch  5, Batch   1372, Loss  0.845455, Average Loss  0.869353, Time  0.409752
2021-09-09 11:13:30.500200 : Epoch  5, Batch   1373, Loss  0.917493, Average Loss  0.869587, Time  0.434176
2021-09-09 11:13:32.396784 : Epoch  5, Batch   1374, Loss  0.843732, Average Loss  0.869407, Time  0.424201
2021-09-09 11:13:34.295045 : Epoch  5, Batch   1375, Loss  0.858689, Average Loss  0.869254, Time  0.414802
2021-09-09 11:13:36.220984 : Epoch  5, Batch   1376, Loss  0.877517, Average Loss  0.869206, Time  0.466548
2021-09-09 11:13:38.003834 : Epoch  5, Batch   1377, Loss  0.865128, Average Loss  0.869108, Time  0.355832
2021-09-09 11:13:39.816798 : Epoch  5, Batch   1378, Loss  0.872724, Average Loss  0.869253, Time  0.388846
2021-09-09 11:13:41.669722 : Epoch  5, Batch   1379, Loss  0.856284, Average Loss  0.869216, Time  0.385671
2021-09-09 11:13:43.527965 : Epoch  5, Batch   1380, Loss  0.873187, Average Loss  0.869099, Time  0.397979
2021-09-09 11:13:45.336827 : Epoch  5, Batch   1381, Loss  0.849098, Average Loss  0.868829, Time  0.378961
2021-09-09 11:13:47.099956 : Epoch  5, Batch   1382, Loss  0.837755, Average Loss  0.868813, Time  0.348263
2021-09-09 11:13:48.979860 : Epoch  5, Batch   1383, Loss  0.855581, Average Loss  0.868709, Time  0.410565
2021-09-09 11:13:50.768473 : Epoch  5, Batch   1384, Loss  0.875508, Average Loss  0.868642, Time  0.352368
2021-09-09 11:13:52.586320 : Epoch  5, Batch   1385, Loss  0.855903, Average Loss  0.868474, Time  0.384545
2021-09-09 11:13:54.348649 : Epoch  5, Batch   1386, Loss  0.879810, Average Loss  0.868469, Time  0.340035
2021-09-09 11:13:56.102831 : Epoch  5, Batch   1387, Loss  0.852659, Average Loss  0.868288, Time  0.335904
2021-09-09 11:13:57.896107 : Epoch  5, Batch   1388, Loss  0.824849, Average Loss  0.868054, Time  0.353376
2021-09-09 11:13:59.678966 : Epoch  5, Batch   1389, Loss  0.855668, Average Loss  0.867867, Time  0.341436
2021-09-09 11:14:01.435024 : Epoch  5, Batch   1390, Loss  0.885348, Average Loss  0.868025, Time  0.332664
2021-09-09 11:14:03.203349 : Epoch  5, Batch   1391, Loss  0.872312, Average Loss  0.868065, Time  0.351946
2021-09-09 11:14:05.033305 : Epoch  5, Batch   1392, Loss  0.880693, Average Loss  0.868089, Time  0.387846
2021-09-09 11:14:06.803822 : Epoch  5, Batch   1393, Loss  0.867381, Average Loss  0.868065, Time  0.343608
2021-09-09 11:14:08.626942 : Epoch  5, Batch   1394, Loss  0.876008, Average Loss  0.868232, Time  0.356158
2021-09-09 11:14:10.404776 : Epoch  5, Batch   1395, Loss  0.868322, Average Loss  0.868298, Time  0.319813
2021-09-09 11:14:12.252962 : Epoch  5, Batch   1396, Loss  0.858259, Average Loss  0.868317, Time  0.347668
2021-09-09 11:14:14.252924 : Epoch  5, Batch   1397, Loss  0.859692, Average Loss  0.868244, Time  0.486754
2021-09-09 11:14:16.042848 : Epoch  5, Batch   1398, Loss  0.854411, Average Loss  0.868202, Time  0.345851
2021-09-09 11:14:17.955144 : Epoch  5, Batch   1399, Loss  0.882113, Average Loss  0.868275, Time  0.414047
2021-09-09 11:14:19.854825 : Epoch  5, Batch   1400, Loss  0.865315, Average Loss  0.868384, Time  0.412668
2021-09-09 11:14:21.733861 : Epoch  5, Batch   1401, Loss  0.871489, Average Loss  0.868511, Time  0.402901
2021-09-09 11:14:23.638446 : Epoch  5, Batch   1402, Loss  0.874811, Average Loss  0.868708, Time  0.409163
2021-09-09 11:14:25.480953 : Epoch  5, Batch   1403, Loss  0.838714, Average Loss  0.868483, Time  0.367738
2021-09-09 11:14:27.280831 : Epoch  5, Batch   1404, Loss  0.877389, Average Loss  0.868512, Time  0.350668
2021-09-09 11:14:29.132848 : Epoch  5, Batch   1405, Loss  0.838295, Average Loss  0.868380, Time  0.430241
2021-09-09 11:14:30.902775 : Epoch  5, Batch   1406, Loss  0.870676, Average Loss  0.868280, Time  0.348695
2021-09-09 11:14:32.704866 : Epoch  5, Batch   1407, Loss  0.854125, Average Loss  0.868123, Time  0.353438
2021-09-09 11:14:34.470774 : Epoch  5, Batch   1408, Loss  0.874534, Average Loss  0.868164, Time  0.325279
2021-09-09 11:14:36.265359 : Epoch  5, Batch   1409, Loss  0.852335, Average Loss  0.867985, Time  0.351051
2021-09-09 11:14:38.197332 : Epoch  5, Batch   1410, Loss  0.834556, Average Loss  0.867822, Time  0.349807
2021-09-09 11:14:40.028810 : Epoch  5, Batch   1411, Loss  0.854135, Average Loss  0.867620, Time  0.356150
2021-09-09 11:14:41.854113 : Epoch  5, Batch   1412, Loss  0.873125, Average Loss  0.867677, Time  0.404155
2021-09-09 11:14:43.691103 : Epoch  5, Batch   1413, Loss  0.878480, Average Loss  0.867641, Time  0.371612
2021-09-09 11:14:45.545509 : Epoch  5, Batch   1414, Loss  0.831659, Average Loss  0.867409, Time  0.415943
2021-09-09 11:14:47.323838 : Epoch  5, Batch   1415, Loss  0.862388, Average Loss  0.867381, Time  0.351464
2021-09-09 11:14:49.099932 : Epoch  5, Batch   1416, Loss  0.885516, Average Loss  0.867437, Time  0.331892
2021-09-09 11:14:50.893799 : Epoch  5, Batch   1417, Loss  0.886232, Average Loss  0.867467, Time  0.350455
2021-09-09 11:14:52.764804 : Epoch  5, Batch   1418, Loss  0.874717, Average Loss  0.867657, Time  0.384348
2021-09-09 11:14:54.678022 : Epoch  5, Batch   1419, Loss  0.818220, Average Loss  0.867386, Time  0.446463
2021-09-09 11:14:56.577486 : Epoch  5, Batch   1420, Loss  0.826479, Average Loss  0.867065, Time  0.407589
2021-09-09 11:14:58.483907 : Epoch  5, Batch   1421, Loss  0.881243, Average Loss  0.867178, Time  0.445507
2021-09-09 11:15:00.363929 : Epoch  5, Batch   1422, Loss  0.891228, Average Loss  0.867315, Time  0.395706
2021-09-09 11:15:02.231948 : Epoch  5, Batch   1423, Loss  0.866334, Average Loss  0.867201, Time  0.389062
2021-09-09 11:15:04.123806 : Epoch  5, Batch   1424, Loss  0.894692, Average Loss  0.867308, Time  0.389959
2021-09-09 11:15:06.002840 : Epoch  5, Batch   1425, Loss  0.884884, Average Loss  0.867213, Time  0.409929
2021-09-09 11:15:07.918798 : Epoch  5, Batch   1426, Loss  0.877806, Average Loss  0.867351, Time  0.408297
2021-09-09 11:15:09.826904 : Epoch  5, Batch   1427, Loss  0.906222, Average Loss  0.867406, Time  0.452431
2021-09-09 11:15:11.704794 : Epoch  5, Batch   1428, Loss  0.847335, Average Loss  0.867196, Time  0.396213
2021-09-09 11:15:13.603787 : Epoch  5, Batch   1429, Loss  0.877493, Average Loss  0.867257, Time  0.434876
2021-09-09 11:15:15.390819 : Epoch  5, Batch   1430, Loss  0.888037, Average Loss  0.867455, Time  0.357097
2021-09-09 11:15:17.229941 : Epoch  5, Batch   1431, Loss  0.860923, Average Loss  0.867316, Time  0.355131
2021-09-09 11:15:19.146147 : Epoch  5, Batch   1432, Loss  0.892289, Average Loss  0.867515, Time  0.460400
2021-09-09 11:15:21.009651 : Epoch  5, Batch   1433, Loss  0.860843, Average Loss  0.867549, Time  0.398437
2021-09-09 11:15:22.862913 : Epoch  5, Batch   1434, Loss  0.869779, Average Loss  0.867349, Time  0.393100
2021-09-09 11:15:24.743898 : Epoch  5, Batch   1435, Loss  0.868754, Average Loss  0.867114, Time  0.423344
2021-09-09 11:15:26.640787 : Epoch  5, Batch   1436, Loss  0.873485, Average Loss  0.867029, Time  0.398244
2021-09-09 11:15:28.514178 : Epoch  5, Batch   1437, Loss  0.848617, Average Loss  0.866918, Time  0.401042
2021-09-09 11:15:30.473316 : Epoch  5, Batch   1438, Loss  0.864472, Average Loss  0.866813, Time  0.471682
2021-09-09 11:15:32.314033 : Epoch  5, Batch   1439, Loss  0.857470, Average Loss  0.866799, Time  0.372388
2021-09-09 11:15:34.180906 : Epoch  5, Batch   1440, Loss  0.838626, Average Loss  0.866589, Time  0.388854
2021-09-09 11:15:36.029786 : Epoch  5, Batch   1441, Loss  0.880336, Average Loss  0.866555, Time  0.381618
2021-09-09 11:15:37.897908 : Epoch  5, Batch   1442, Loss  0.866172, Average Loss  0.866533, Time  0.386695
2021-09-09 11:15:39.823795 : Epoch  5, Batch   1443, Loss  0.879755, Average Loss  0.866439, Time  0.453936
2021-09-09 11:15:41.704372 : Epoch  5, Batch   1444, Loss  0.840551, Average Loss  0.866448, Time  0.400273
2021-09-09 11:15:43.551802 : Epoch  5, Batch   1445, Loss  0.858112, Average Loss  0.866374, Time  0.392125
2021-09-09 11:15:45.458875 : Epoch  5, Batch   1446, Loss  0.863955, Average Loss  0.866345, Time  0.440855
2021-09-09 11:15:47.407832 : Epoch  5, Batch   1447, Loss  0.851150, Average Loss  0.866248, Time  0.480040
2021-09-09 11:15:49.308841 : Epoch  5, Batch   1448, Loss  0.864258, Average Loss  0.866217, Time  0.395959
2021-09-09 11:15:51.197784 : Epoch  5, Batch   1449, Loss  0.882869, Average Loss  0.866329, Time  0.416123
2021-09-09 11:15:53.073066 : Epoch  5, Batch   1450, Loss  0.883241, Average Loss  0.866411, Time  0.387289
2021-09-09 11:15:54.934166 : Epoch  5, Batch   1451, Loss  0.901554, Average Loss  0.866671, Time  0.395706
2021-09-09 11:15:56.822090 : Epoch  5, Batch   1452, Loss  0.823338, Average Loss  0.866206, Time  0.387599
2021-09-09 11:15:58.707837 : Epoch  5, Batch   1453, Loss  0.896408, Average Loss  0.866481, Time  0.405331
2021-09-09 11:16:00.611418 : Epoch  5, Batch   1454, Loss  0.866130, Average Loss  0.866480, Time  0.422287
2021-09-09 11:16:02.509265 : Epoch  5, Batch   1455, Loss  0.865067, Average Loss  0.866436, Time  0.432538
2021-09-09 11:16:04.337019 : Epoch  5, Batch   1456, Loss  0.856107, Average Loss  0.866351, Time  0.374209
2021-09-09 11:20:58.922731 : CheckPoint: Validation Loss  0.00060613, Best Loss  0.00056427
2021-09-09 11:21:00.744789 : Epoch  5, Batch   1457, Loss  0.844858, Average Loss  0.866221, Time  0.385171
2021-09-09 11:21:02.575370 : Epoch  5, Batch   1458, Loss  0.870162, Average Loss  0.866348, Time  0.405643
2021-09-09 11:21:04.448783 : Epoch  5, Batch   1459, Loss  0.854203, Average Loss  0.866277, Time  0.393644
2021-09-09 11:21:06.322784 : Epoch  5, Batch   1460, Loss  0.860711, Average Loss  0.866218, Time  0.408257
2021-09-09 11:21:08.175839 : Epoch  5, Batch   1461, Loss  0.850863, Average Loss  0.866128, Time  0.381347
2021-09-09 11:21:10.080784 : Epoch  5, Batch   1462, Loss  0.867876, Average Loss  0.866222, Time  0.428890
2021-09-09 11:21:11.956794 : Epoch  5, Batch   1463, Loss  0.864136, Average Loss  0.866171, Time  0.397513
2021-09-09 11:21:13.851992 : Epoch  5, Batch   1464, Loss  0.857798, Average Loss  0.866129, Time  0.386857
2021-09-09 11:21:15.722206 : Epoch  5, Batch   1465, Loss  0.866790, Average Loss  0.865946, Time  0.395779
2021-09-09 11:21:17.565924 : Epoch  5, Batch   1466, Loss  0.858870, Average Loss  0.865930, Time  0.363261
2021-09-09 11:21:19.446969 : Epoch  5, Batch   1467, Loss  0.878768, Average Loss  0.866135, Time  0.397503
2021-09-09 11:21:21.341798 : Epoch  5, Batch   1468, Loss  0.901828, Average Loss  0.866355, Time  0.390498
2021-09-09 11:21:23.201839 : Epoch  5, Batch   1469, Loss  0.883613, Average Loss  0.866536, Time  0.378530
2021-09-09 11:21:25.032298 : Epoch  5, Batch   1470, Loss  0.882067, Average Loss  0.866602, Time  0.363907
2021-09-09 11:21:26.842357 : Epoch  5, Batch   1471, Loss  0.839241, Average Loss  0.866555, Time  0.337836
2021-09-09 11:21:28.658232 : Epoch  5, Batch   1472, Loss  0.887965, Average Loss  0.866781, Time  0.390125
2021-09-09 11:21:30.470393 : Epoch  5, Batch   1473, Loss  0.870130, Average Loss  0.866805, Time  0.351677
2021-09-09 11:21:32.293810 : Epoch  5, Batch   1474, Loss  0.866673, Average Loss  0.866808, Time  0.392590
2021-09-09 11:21:34.080658 : Epoch  5, Batch   1475, Loss  0.919767, Average Loss  0.866885, Time  0.363969
2021-09-09 11:21:35.934833 : Epoch  5, Batch   1476, Loss  0.856318, Average Loss  0.866790, Time  0.394197
2021-09-09 11:21:37.733779 : Epoch  5, Batch   1477, Loss  0.838332, Average Loss  0.866601, Time  0.359832
2021-09-09 11:21:39.649779 : Epoch  5, Batch   1478, Loss  0.875491, Average Loss  0.866723, Time  0.376310
2021-09-09 11:21:41.495780 : Epoch  5, Batch   1479, Loss  0.870862, Average Loss  0.866773, Time  0.364697
2021-09-09 11:21:43.302271 : Epoch  5, Batch   1480, Loss  0.873017, Average Loss  0.866805, Time  0.362531
2021-09-09 11:21:45.244951 : Epoch  5, Batch   1481, Loss  0.874137, Average Loss  0.866904, Time  0.420675
2021-09-09 11:21:47.119307 : Epoch  5, Batch   1482, Loss  0.925962, Average Loss  0.867069, Time  0.389466
2021-09-09 11:21:49.108866 : Epoch  5, Batch   1483, Loss  0.878935, Average Loss  0.867092, Time  0.502812
2021-09-09 11:21:51.018789 : Epoch  5, Batch   1484, Loss  0.874621, Average Loss  0.867329, Time  0.398232
2021-09-09 11:21:52.901794 : Epoch  5, Batch   1485, Loss  0.850661, Average Loss  0.867217, Time  0.394014
2021-09-09 11:21:54.780238 : Epoch  5, Batch   1486, Loss  0.878052, Average Loss  0.867444, Time  0.344589
2021-09-09 11:21:56.727790 : Epoch  5, Batch   1487, Loss  0.867171, Average Loss  0.867376, Time  0.389887
2021-09-09 11:21:58.607930 : Epoch  5, Batch   1488, Loss  0.871844, Average Loss  0.867329, Time  0.395239
2021-09-09 11:22:00.468836 : Epoch  5, Batch   1489, Loss  0.919809, Average Loss  0.867503, Time  0.381202
2021-09-09 11:22:02.383066 : Epoch  5, Batch   1490, Loss  0.888564, Average Loss  0.867490, Time  0.443745
2021-09-09 11:22:04.239527 : Epoch  5, Batch   1491, Loss  0.861128, Average Loss  0.867537, Time  0.369608
2021-09-09 11:22:06.152280 : Epoch  5, Batch   1492, Loss  0.877976, Average Loss  0.867594, Time  0.429354
2021-09-09 11:22:08.054856 : Epoch  5, Batch   1493, Loss  0.880559, Average Loss  0.867571, Time  0.419940
2021-09-09 11:22:09.906880 : Epoch  5, Batch   1494, Loss  0.866595, Average Loss  0.867461, Time  0.384207
2021-09-09 11:22:11.849384 : Epoch  5, Batch   1495, Loss  0.836522, Average Loss  0.867358, Time  0.469471
2021-09-09 11:22:13.724784 : Epoch  5, Batch   1496, Loss  0.873972, Average Loss  0.867304, Time  0.385714
2021-09-09 11:22:15.596866 : Epoch  5, Batch   1497, Loss  0.868552, Average Loss  0.867255, Time  0.396238
2021-09-09 11:22:17.544306 : Epoch  5, Batch   1498, Loss  0.875925, Average Loss  0.867294, Time  0.476724
2021-09-09 11:22:19.461225 : Epoch  5, Batch   1499, Loss  0.886640, Average Loss  0.867334, Time  0.393312
2021-09-09 11:22:21.378789 : Epoch  5, Batch   1500, Loss  0.837986, Average Loss  0.867103, Time  0.419618
2021-09-09 11:22:23.247632 : Epoch  5, Batch   1501, Loss  0.857024, Average Loss  0.867104, Time  0.372983
2021-09-09 11:22:25.179795 : Epoch  5, Batch   1502, Loss  0.870138, Average Loss  0.867112, Time  0.395260
2021-09-09 11:22:27.152084 : Epoch  5, Batch   1503, Loss  0.844009, Average Loss  0.866930, Time  0.505099
2021-09-09 11:22:29.063994 : Epoch  5, Batch   1504, Loss  0.871417, Average Loss  0.866845, Time  0.402554
2021-09-09 11:22:30.921163 : Epoch  5, Batch   1505, Loss  0.888446, Average Loss  0.867082, Time  0.374000
2021-09-09 11:22:32.677156 : Epoch  5, Batch   1506, Loss  0.860732, Average Loss  0.866955, Time  0.335610
2021-09-09 11:22:34.500780 : Epoch  5, Batch   1507, Loss  0.876574, Average Loss  0.867147, Time  0.370173
2021-09-09 11:22:36.283654 : Epoch  5, Batch   1508, Loss  0.857317, Average Loss  0.867012, Time  0.353756
2021-09-09 11:22:38.184797 : Epoch  5, Batch   1509, Loss  0.880976, Average Loss  0.867000, Time  0.382122
2021-09-09 11:22:40.226815 : Epoch  5, Batch   1510, Loss  0.890113, Average Loss  0.866933, Time  0.444967
2021-09-09 11:22:42.172060 : Epoch  5, Batch   1511, Loss  0.884874, Average Loss  0.866918, Time  0.392979
2021-09-09 11:22:44.090785 : Epoch  5, Batch   1512, Loss  0.880008, Average Loss  0.867191, Time  0.390787
2021-09-09 11:22:46.047793 : Epoch  5, Batch   1513, Loss  0.889852, Average Loss  0.867286, Time  0.472656
2021-09-09 11:22:47.951418 : Epoch  5, Batch   1514, Loss  0.856804, Average Loss  0.867190, Time  0.396641
2021-09-09 11:22:49.801453 : Epoch  5, Batch   1515, Loss  0.838180, Average Loss  0.866985, Time  0.381192
2021-09-09 11:22:51.740856 : Epoch  5, Batch   1516, Loss  0.876348, Average Loss  0.867157, Time  0.480042
2021-09-09 11:22:53.606858 : Epoch  5, Batch   1517, Loss  0.858452, Average Loss  0.867012, Time  0.372291
2021-09-09 11:22:55.489786 : Epoch  5, Batch   1518, Loss  0.835848, Average Loss  0.866886, Time  0.403337
2021-09-09 11:22:57.404248 : Epoch  5, Batch   1519, Loss  0.881941, Average Loss  0.866860, Time  0.434458
2021-09-09 11:22:59.281783 : Epoch  5, Batch   1520, Loss  0.878110, Average Loss  0.866968, Time  0.393713
2021-09-09 11:23:01.233297 : Epoch  5, Batch   1521, Loss  0.854233, Average Loss  0.866876, Time  0.468696
2021-09-09 11:23:03.160601 : Epoch  5, Batch   1522, Loss  0.901568, Average Loss  0.866994, Time  0.448422
2021-09-09 11:23:05.035943 : Epoch  5, Batch   1523, Loss  0.878064, Average Loss  0.867195, Time  0.394061
2021-09-09 11:23:06.875777 : Epoch  5, Batch   1524, Loss  0.861449, Average Loss  0.867049, Time  0.363852
2021-09-09 11:23:08.674852 : Epoch  5, Batch   1525, Loss  0.863236, Average Loss  0.867116, Time  0.340880
2021-09-09 11:23:10.523280 : Epoch  5, Batch   1526, Loss  0.909586, Average Loss  0.867563, Time  0.343988
2021-09-09 11:23:12.369794 : Epoch  5, Batch   1527, Loss  0.834508, Average Loss  0.867350, Time  0.383037
2021-09-09 11:23:14.161780 : Epoch  5, Batch   1528, Loss  0.876606, Average Loss  0.867496, Time  0.358358
2021-09-09 11:23:16.054838 : Epoch  5, Batch   1529, Loss  0.846915, Average Loss  0.867414, Time  0.444137
2021-09-09 11:23:17.850161 : Epoch  5, Batch   1530, Loss  0.860337, Average Loss  0.867405, Time  0.352695
2021-09-09 11:23:19.742782 : Epoch  5, Batch   1531, Loss  0.888563, Average Loss  0.867583, Time  0.424341
2021-09-09 11:23:21.697432 : Epoch  5, Batch   1532, Loss  0.872165, Average Loss  0.867474, Time  0.454947
2021-09-09 11:23:23.579902 : Epoch  5, Batch   1533, Loss  0.907252, Average Loss  0.867657, Time  0.393531
2021-09-09 11:23:25.444181 : Epoch  5, Batch   1534, Loss  0.850196, Average Loss  0.867556, Time  0.394433
2021-09-09 11:23:27.336296 : Epoch  5, Batch   1535, Loss  0.845574, Average Loss  0.867585, Time  0.430954
2021-09-09 11:23:29.228068 : Epoch  5, Batch   1536, Loss  0.891359, Average Loss  0.867650, Time  0.393337
2021-09-09 11:23:31.064789 : Epoch  5, Batch   1537, Loss  0.857149, Average Loss  0.867602, Time  0.387336
2021-09-09 11:23:32.831974 : Epoch  5, Batch   1538, Loss  0.872757, Average Loss  0.867726, Time  0.321259
2021-09-09 11:23:34.722392 : Epoch  5, Batch   1539, Loss  0.870500, Average Loss  0.867694, Time  0.358036
2021-09-09 11:23:36.530775 : Epoch  5, Batch   1540, Loss  0.878018, Average Loss  0.867625, Time  0.371080
2021-09-09 11:23:38.357773 : Epoch  5, Batch   1541, Loss  0.898098, Average Loss  0.867916, Time  0.356089
2021-09-09 11:23:40.213732 : Epoch  5, Batch   1542, Loss  0.878636, Average Loss  0.868002, Time  0.400362
2021-09-09 11:23:42.131781 : Epoch  5, Batch   1543, Loss  0.875308, Average Loss  0.867963, Time  0.395479
2021-09-09 11:23:44.005836 : Epoch  5, Batch   1544, Loss  0.875693, Average Loss  0.868015, Time  0.397456
2021-09-09 11:23:45.966789 : Epoch  5, Batch   1545, Loss  0.892417, Average Loss  0.867951, Time  0.465365
2021-09-09 11:23:47.870783 : Epoch  5, Batch   1546, Loss  0.859631, Average Loss  0.867967, Time  0.384995
2021-09-09 11:23:49.755216 : Epoch  5, Batch   1547, Loss  0.847569, Average Loss  0.867963, Time  0.396920
2021-09-09 11:23:51.674789 : Epoch  5, Batch   1548, Loss  0.869326, Average Loss  0.867980, Time  0.448457
2021-09-09 11:23:53.550846 : Epoch  5, Batch   1549, Loss  0.853110, Average Loss  0.868037, Time  0.397031
2021-09-09 11:23:55.353016 : Epoch  5, Batch   1550, Loss  0.877393, Average Loss  0.868073, Time  0.358993
2021-09-09 11:23:57.328806 : Epoch  5, Batch   1551, Loss  0.852355, Average Loss  0.867960, Time  0.472925
2021-09-09 11:23:59.237207 : Epoch  5, Batch   1552, Loss  0.884997, Average Loss  0.868075, Time  0.416636
2021-09-09 11:24:01.113924 : Epoch  5, Batch   1553, Loss  0.870985, Average Loss  0.868135, Time  0.419362
2021-09-09 11:24:03.088904 : Epoch  5, Batch   1554, Loss  0.895196, Average Loss  0.868373, Time  0.481714
2021-09-09 11:24:04.953822 : Epoch  5, Batch   1555, Loss  0.875305, Average Loss  0.868401, Time  0.388062
2021-09-09 11:24:06.820193 : Epoch  5, Batch   1556, Loss  0.855363, Average Loss  0.868216, Time  0.390078
2021-09-09 11:29:01.019033 : CheckPoint: Validation Loss  0.00062053, Best Loss  0.00056427
2021-09-09 11:29:02.823087 : Epoch  5, Batch   1557, Loss  0.886967, Average Loss  0.868420, Time  0.368274
2021-09-09 11:29:04.708781 : Epoch  5, Batch   1558, Loss  0.855681, Average Loss  0.868501, Time  0.427446
2021-09-09 11:29:06.476789 : Epoch  5, Batch   1559, Loss  0.841966, Average Loss  0.868302, Time  0.356449
2021-09-09 11:29:08.338010 : Epoch  5, Batch   1560, Loss  0.858861, Average Loss  0.868238, Time  0.425963
2021-09-09 11:29:10.136783 : Epoch  5, Batch   1561, Loss  0.871973, Average Loss  0.868242, Time  0.329553
2021-09-09 11:29:11.966228 : Epoch  5, Batch   1562, Loss  0.903779, Average Loss  0.868578, Time  0.348863
2021-09-09 11:29:13.835828 : Epoch  5, Batch   1563, Loss  0.846745, Average Loss  0.868511, Time  0.393085
2021-09-09 11:29:15.636688 : Epoch  5, Batch   1564, Loss  0.861207, Average Loss  0.868415, Time  0.355715
2021-09-09 11:29:17.551447 : Epoch  5, Batch   1565, Loss  0.872199, Average Loss  0.868505, Time  0.407557
2021-09-09 11:29:19.408781 : Epoch  5, Batch   1566, Loss  0.886372, Average Loss  0.868578, Time  0.385278
2021-09-09 11:29:21.277030 : Epoch  5, Batch   1567, Loss  0.894504, Average Loss  0.868728, Time  0.385374
2021-09-09 11:29:23.223789 : Epoch  5, Batch   1568, Loss  0.871806, Average Loss  0.868610, Time  0.472151
2021-09-09 11:29:25.068882 : Epoch  5, Batch   1569, Loss  0.899537, Average Loss  0.868953, Time  0.369860
2021-09-09 11:29:26.944830 : Epoch  5, Batch   1570, Loss  0.852642, Average Loss  0.868685, Time  0.397836
2021-09-09 11:29:28.858823 : Epoch  5, Batch   1571, Loss  0.873039, Average Loss  0.868731, Time  0.439161
2021-09-09 11:29:30.642780 : Epoch  5, Batch   1572, Loss  0.857824, Average Loss  0.868792, Time  0.357779
2021-09-09 11:29:32.418148 : Epoch  5, Batch   1573, Loss  0.879730, Average Loss  0.868604, Time  0.349018
2021-09-09 11:29:34.446844 : Epoch  5, Batch   1574, Loss  0.882604, Average Loss  0.868798, Time  0.393972
2021-09-09 11:29:36.345780 : Epoch  5, Batch   1575, Loss  0.899317, Average Loss  0.869001, Time  0.387694
2021-09-09 11:29:38.191786 : Epoch  5, Batch   1576, Loss  0.859660, Average Loss  0.868912, Time  0.390956
2021-09-09 11:29:40.109033 : Epoch  5, Batch   1577, Loss  0.875716, Average Loss  0.868965, Time  0.434969
2021-09-09 11:29:41.984787 : Epoch  5, Batch   1578, Loss  0.836008, Average Loss  0.868781, Time  0.397280
2021-09-09 11:29:43.852785 : Epoch  5, Batch   1579, Loss  0.899474, Average Loss  0.868997, Time  0.395917
2021-09-09 11:29:45.772881 : Epoch  5, Batch   1580, Loss  0.850127, Average Loss  0.868882, Time  0.453028
2021-09-09 11:29:47.650028 : Epoch  5, Batch   1581, Loss  0.880203, Average Loss  0.869037, Time  0.396552
2021-09-09 11:29:49.479488 : Epoch  5, Batch   1582, Loss  0.825828, Average Loss  0.868978, Time  0.352029
2021-09-09 11:29:51.306276 : Epoch  5, Batch   1583, Loss  0.857284, Average Loss  0.868986, Time  0.382522
2021-09-09 11:29:53.150201 : Epoch  5, Batch   1584, Loss  0.844103, Average Loss  0.868829, Time  0.378594
2021-09-09 11:29:55.068787 : Epoch  5, Batch   1585, Loss  0.869310, Average Loss  0.868896, Time  0.440685
2021-09-09 11:29:56.922959 : Epoch  5, Batch   1586, Loss  0.879537, Average Loss  0.868895, Time  0.375866
2021-09-09 11:29:58.822928 : Epoch  5, Batch   1587, Loss  0.884354, Average Loss  0.869053, Time  0.431160
2021-09-09 11:30:00.717962 : Epoch  5, Batch   1588, Loss  0.901969, Average Loss  0.869439, Time  0.425766
2021-09-09 11:30:02.581264 : Epoch  5, Batch   1589, Loss  0.879461, Average Loss  0.869558, Time  0.390539
2021-09-09 11:30:04.536515 : Epoch  5, Batch   1590, Loss  0.905353, Average Loss  0.869658, Time  0.482029
2021-09-09 11:30:06.500796 : Epoch  5, Batch   1591, Loss  0.860712, Average Loss  0.869600, Time  0.472515
2021-09-09 11:30:08.358229 : Epoch  5, Batch   1592, Loss  0.869262, Average Loss  0.869543, Time  0.392137
2021-09-09 11:30:10.280873 : Epoch  5, Batch   1593, Loss  0.861995, Average Loss  0.869516, Time  0.429102
2021-09-09 11:30:12.190811 : Epoch  5, Batch   1594, Loss  0.878811, Average Loss  0.869530, Time  0.448080
2021-09-09 11:30:14.058404 : Epoch  5, Batch   1595, Loss  0.860574, Average Loss  0.869491, Time  0.407944
2021-09-09 11:30:15.906829 : Epoch  5, Batch   1596, Loss  0.856134, Average Loss  0.869481, Time  0.393382
2021-09-09 11:30:17.858296 : Epoch  5, Batch   1597, Loss  0.893365, Average Loss  0.869649, Time  0.473242
2021-09-09 11:30:19.714023 : Epoch  5, Batch   1598, Loss  0.873212, Average Loss  0.869743, Time  0.390550
2021-09-09 11:30:21.588783 : Epoch  5, Batch   1599, Loss  0.848748, Average Loss  0.869576, Time  0.387759
2021-09-09 11:30:23.526190 : Epoch  5, Batch   1600, Loss  0.886849, Average Loss  0.869684, Time  0.438578
2021-09-09 11:30:25.379967 : Epoch  5, Batch   1601, Loss  0.873862, Average Loss  0.869696, Time  0.388601
2021-09-09 11:30:27.226936 : Epoch  5, Batch   1602, Loss  0.868841, Average Loss  0.869666, Time  0.398461
2021-09-09 11:30:29.149963 : Epoch  5, Batch   1603, Loss  0.850189, Average Loss  0.869723, Time  0.390189
2021-09-09 11:30:31.070841 : Epoch  5, Batch   1604, Loss  0.869100, Average Loss  0.869682, Time  0.409208
2021-09-09 11:30:32.916790 : Epoch  5, Batch   1605, Loss  0.877667, Average Loss  0.869879, Time  0.393644
2021-09-09 11:30:34.760163 : Epoch  5, Batch   1606, Loss  0.869177, Average Loss  0.869871, Time  0.372404
2021-09-09 11:30:36.648796 : Epoch  5, Batch   1607, Loss  0.909928, Average Loss  0.870150, Time  0.417839
2021-09-09 11:30:38.417810 : Epoch  5, Batch   1608, Loss  0.859533, Average Loss  0.870075, Time  0.351570
2021-09-09 11:30:40.288817 : Epoch  5, Batch   1609, Loss  0.892974, Average Loss  0.870278, Time  0.356675
2021-09-09 11:30:42.085096 : Epoch  5, Batch   1610, Loss  0.890039, Average Loss  0.870556, Time  0.355615
2021-09-09 11:30:43.964000 : Epoch  5, Batch   1611, Loss  0.846643, Average Loss  0.870518, Time  0.390309
2021-09-09 11:30:45.792945 : Epoch  5, Batch   1612, Loss  0.871336, Average Loss  0.870509, Time  0.405761
2021-09-09 11:30:47.579777 : Epoch  5, Batch   1613, Loss  0.860301, Average Loss  0.870418, Time  0.348319
2021-09-09 11:30:49.385827 : Epoch  5, Batch   1614, Loss  0.860202, Average Loss  0.870561, Time  0.377709
2021-09-09 11:30:51.269663 : Epoch  5, Batch   1615, Loss  0.875942, Average Loss  0.870629, Time  0.356514
2021-09-09 11:30:53.169814 : Epoch  5, Batch   1616, Loss  0.877038, Average Loss  0.870586, Time  0.381137
2021-09-09 11:30:55.114952 : Epoch  5, Batch   1617, Loss  0.875596, Average Loss  0.870533, Time  0.476897
2021-09-09 11:30:57.073832 : Epoch  5, Batch   1618, Loss  0.848830, Average Loss  0.870404, Time  0.389040
2021-09-09 11:30:58.968950 : Epoch  5, Batch   1619, Loss  0.881605, Average Loss  0.870721, Time  0.424510
2021-09-09 11:31:00.850790 : Epoch  5, Batch   1620, Loss  0.857915, Average Loss  0.870878, Time  0.401489
2021-09-09 11:31:02.715785 : Epoch  5, Batch   1621, Loss  0.913494, Average Loss  0.871039, Time  0.391970
2021-09-09 11:31:04.627161 : Epoch  5, Batch   1622, Loss  0.897520, Average Loss  0.871071, Time  0.436327
2021-09-09 11:31:06.478957 : Epoch  5, Batch   1623, Loss  0.847781, Average Loss  0.870978, Time  0.391163
2021-09-09 11:31:08.269260 : Epoch  5, Batch   1624, Loss  0.900573, Average Loss  0.871007, Time  0.355186
2021-09-09 11:31:10.201943 : Epoch  5, Batch   1625, Loss  0.875226, Average Loss  0.870959, Time  0.443893
2021-09-09 11:31:12.072100 : Epoch  5, Batch   1626, Loss  0.883412, Average Loss  0.870987, Time  0.391721
2021-09-09 11:31:14.017079 : Epoch  5, Batch   1627, Loss  0.877301, Average Loss  0.870842, Time  0.458275
2021-09-09 11:31:15.769941 : Epoch  5, Batch   1628, Loss  0.849099, Average Loss  0.870851, Time  0.327181
2021-09-09 11:31:17.589953 : Epoch  5, Batch   1629, Loss  0.857081, Average Loss  0.870749, Time  0.353691
2021-09-09 11:31:19.373835 : Epoch  5, Batch   1630, Loss  0.829229, Average Loss  0.870455, Time  0.355336
2021-09-09 11:31:21.173784 : Epoch  5, Batch   1631, Loss  0.880020, Average Loss  0.870551, Time  0.352371
2021-09-09 11:31:22.962796 : Epoch  5, Batch   1632, Loss  0.869973, Average Loss  0.870439, Time  0.350540
2021-09-09 11:31:24.804779 : Epoch  5, Batch   1633, Loss  0.861214, Average Loss  0.870441, Time  0.379235
2021-09-09 11:31:26.764266 : Epoch  5, Batch   1634, Loss  0.864078, Average Loss  0.870412, Time  0.437097
2021-09-09 11:31:28.660849 : Epoch  5, Batch   1635, Loss  0.885840, Average Loss  0.870498, Time  0.392421
2021-09-09 11:31:30.528786 : Epoch  5, Batch   1636, Loss  0.870007, Average Loss  0.870480, Time  0.392463
2021-09-09 11:31:32.409270 : Epoch  5, Batch   1637, Loss  0.845465, Average Loss  0.870465, Time  0.398812
2021-09-09 11:31:34.280878 : Epoch  5, Batch   1638, Loss  0.881717, Average Loss  0.870551, Time  0.383821
2021-09-09 11:31:36.123779 : Epoch  5, Batch   1639, Loss  0.879694, Average Loss  0.870662, Time  0.414721
2021-09-09 11:31:38.030353 : Epoch  5, Batch   1640, Loss  0.867762, Average Loss  0.870808, Time  0.396592
2021-09-09 11:31:39.841864 : Epoch  5, Batch   1641, Loss  0.859376, Average Loss  0.870703, Time  0.364647
2021-09-09 11:31:41.666093 : Epoch  5, Batch   1642, Loss  0.880984, Average Loss  0.870777, Time  0.400806
2021-09-09 11:31:43.436774 : Epoch  5, Batch   1643, Loss  0.852576, Average Loss  0.870641, Time  0.357822
2021-09-09 11:31:45.327221 : Epoch  5, Batch   1644, Loss  0.858259, Average Loss  0.870730, Time  0.412971
2021-09-09 11:31:47.260982 : Epoch  5, Batch   1645, Loss  0.875240, Average Loss  0.870815, Time  0.460507
2021-09-09 11:31:49.109778 : Epoch  5, Batch   1646, Loss  0.885650, Average Loss  0.870924, Time  0.347389
2021-09-09 11:31:50.960777 : Epoch  5, Batch   1647, Loss  0.856427, Average Loss  0.870950, Time  0.402870
2021-09-09 11:31:52.753951 : Epoch  5, Batch   1648, Loss  0.879928, Average Loss  0.871028, Time  0.345864
2021-09-09 11:31:54.670842 : Epoch  5, Batch   1649, Loss  0.913157, Average Loss  0.871180, Time  0.410042
2021-09-09 11:31:56.591488 : Epoch  5, Batch   1650, Loss  0.846909, Average Loss  0.870998, Time  0.394413
2021-09-09 11:31:58.467787 : Epoch  5, Batch   1651, Loss  0.856294, Average Loss  0.870772, Time  0.401814
2021-09-09 11:32:00.358277 : Epoch  5, Batch   1652, Loss  0.855301, Average Loss  0.870932, Time  0.395176
2021-09-09 11:32:02.213501 : Epoch  5, Batch   1653, Loss  0.875784, Average Loss  0.870829, Time  0.395477
2021-09-09 11:32:04.105209 : Epoch  5, Batch   1654, Loss  0.907021, Average Loss  0.871033, Time  0.412327
2021-09-09 11:32:06.015800 : Epoch  5, Batch   1655, Loss  0.823777, Average Loss  0.870827, Time  0.435145
2021-09-09 11:32:07.874790 : Epoch  5, Batch   1656, Loss  0.877116, Average Loss  0.870932, Time  0.377274
2021-09-09 11:37:06.002734 : CheckPoint: Validation Loss  0.00059684, Best Loss  0.00056427
2021-09-09 11:37:07.808787 : Epoch  5, Batch   1657, Loss  0.862618, Average Loss  0.871021, Time  0.342120
2021-09-09 11:37:09.609146 : Epoch  5, Batch   1658, Loss  0.892706, Average Loss  0.871133, Time  0.355175
2021-09-09 11:37:11.384760 : Epoch  5, Batch   1659, Loss  0.863392, Average Loss  0.871179, Time  0.360674
2021-09-09 11:37:13.156787 : Epoch  5, Batch   1660, Loss  0.864290, Average Loss  0.871197, Time  0.352075
2021-09-09 11:37:14.946783 : Epoch  5, Batch   1661, Loss  0.871268, Average Loss  0.871299, Time  0.361894
2021-09-09 11:37:16.892873 : Epoch  5, Batch   1662, Loss  0.898812, Average Loss  0.871454, Time  0.447644
2021-09-09 11:37:18.764788 : Epoch  5, Batch   1663, Loss  0.857344, Average Loss  0.871420, Time  0.423102
2021-09-09 11:37:20.555324 : Epoch  5, Batch   1664, Loss  0.868590, Average Loss  0.871474, Time  0.352210
2021-09-09 11:37:22.514783 : Epoch  5, Batch   1665, Loss  0.860989, Average Loss  0.871445, Time  0.367827
2021-09-09 11:37:24.411619 : Epoch  5, Batch   1666, Loss  0.867802, Average Loss  0.871489, Time  0.390637
2021-09-09 11:37:26.280780 : Epoch  5, Batch   1667, Loss  0.875940, Average Loss  0.871475, Time  0.383112
2021-09-09 11:37:28.197919 : Epoch  5, Batch   1668, Loss  0.846221, Average Loss  0.871197, Time  0.429286
2021-09-09 11:37:30.072392 : Epoch  5, Batch   1669, Loss  0.844800, Average Loss  0.871003, Time  0.380428
2021-09-09 11:37:31.888991 : Epoch  5, Batch   1670, Loss  0.843135, Average Loss  0.870809, Time  0.362161
2021-09-09 11:37:33.684830 : Epoch  5, Batch   1671, Loss  0.855077, Average Loss  0.870888, Time  0.349303
2021-09-09 11:37:35.518836 : Epoch  5, Batch   1672, Loss  0.872165, Average Loss  0.870809, Time  0.378160
2021-09-09 11:37:37.417258 : Epoch  5, Batch   1673, Loss  0.858154, Average Loss  0.870749, Time  0.402335
2021-09-09 11:37:39.331980 : Epoch  5, Batch   1674, Loss  0.831659, Average Loss  0.870574, Time  0.358214
2021-09-09 11:37:41.101391 : Epoch  5, Batch   1675, Loss  0.884966, Average Loss  0.870400, Time  0.341539
2021-09-09 11:37:43.110800 : Epoch  5, Batch   1676, Loss  0.886683, Average Loss  0.870552, Time  0.449768
2021-09-09 11:37:44.987812 : Epoch  5, Batch   1677, Loss  0.871593, Average Loss  0.870718, Time  0.379208
2021-09-09 11:37:46.883851 : Epoch  5, Batch   1678, Loss  0.859895, Average Loss  0.870640, Time  0.420756
2021-09-09 11:37:48.778793 : Epoch  5, Batch   1679, Loss  0.879864, Average Loss  0.870685, Time  0.421739
2021-09-09 11:37:50.664177 : Epoch  5, Batch   1680, Loss  0.908811, Average Loss  0.870864, Time  0.399873
2021-09-09 11:37:52.562790 : Epoch  5, Batch   1681, Loss  0.842358, Average Loss  0.870705, Time  0.426138
2021-09-09 11:37:54.361827 : Epoch  5, Batch   1682, Loss  0.851452, Average Loss  0.870332, Time  0.354968
2021-09-09 11:37:56.223382 : Epoch  5, Batch   1683, Loss  0.866920, Average Loss  0.870272, Time  0.342821
2021-09-09 11:37:58.108946 : Epoch  5, Batch   1684, Loss  0.886805, Average Loss  0.870333, Time  0.385848
2021-09-09 11:38:00.035850 : Epoch  5, Batch   1685, Loss  0.867322, Average Loss  0.870417, Time  0.393095
2021-09-09 11:38:01.955268 : Epoch  5, Batch   1686, Loss  0.848979, Average Loss  0.870271, Time  0.457551
2021-09-09 11:38:03.825884 : Epoch  5, Batch   1687, Loss  0.852962, Average Loss  0.870200, Time  0.399988
2021-09-09 11:38:05.679798 : Epoch  5, Batch   1688, Loss  0.846631, Average Loss  0.870074, Time  0.394954
2021-09-09 11:38:07.544791 : Epoch  5, Batch   1689, Loss  0.851073, Average Loss  0.869730, Time  0.388904
2021-09-09 11:38:09.416794 : Epoch  5, Batch   1690, Loss  0.872524, Average Loss  0.869650, Time  0.396650
2021-09-09 11:38:11.335171 : Epoch  5, Batch   1691, Loss  0.887701, Average Loss  0.869783, Time  0.457390
2021-09-09 11:38:13.189848 : Epoch  5, Batch   1692, Loss  0.916900, Average Loss  0.869978, Time  0.386279
2021-09-09 11:38:15.071416 : Epoch  5, Batch   1693, Loss  0.860975, Average Loss  0.869880, Time  0.404101
2021-09-09 11:38:17.013400 : Epoch  5, Batch   1694, Loss  0.860807, Average Loss  0.869851, Time  0.455873
2021-09-09 11:38:18.878379 : Epoch  5, Batch   1695, Loss  0.884489, Average Loss  0.870091, Time  0.386271
2021-09-09 11:38:20.785742 : Epoch  5, Batch   1696, Loss  0.880871, Average Loss  0.870125, Time  0.402207
2021-09-09 11:38:22.825879 : Epoch  5, Batch   1697, Loss  0.859677, Average Loss  0.870081, Time  0.464885
2021-09-09 11:38:24.653328 : Epoch  5, Batch   1698, Loss  0.859737, Average Loss  0.870000, Time  0.378372
2021-09-09 11:38:26.517988 : Epoch  5, Batch   1699, Loss  0.843214, Average Loss  0.869783, Time  0.389055
2021-09-09 11:38:28.374448 : Epoch  5, Batch   1700, Loss  0.892982, Average Loss  0.870058, Time  0.392266
2021-09-09 11:38:30.248060 : Epoch  5, Batch   1701, Loss  0.876261, Average Loss  0.870154, Time  0.396709
2021-09-09 11:38:32.181400 : Epoch  5, Batch   1702, Loss  0.891226, Average Loss  0.870259, Time  0.463023
2021-09-09 11:38:33.974902 : Epoch  5, Batch   1703, Loss  0.875424, Average Loss  0.870416, Time  0.355844
2021-09-09 11:38:35.879194 : Epoch  5, Batch   1704, Loss  0.866955, Average Loss  0.870394, Time  0.410151
2021-09-09 11:38:37.738901 : Epoch  5, Batch   1705, Loss  0.865076, Average Loss  0.870277, Time  0.378567
2021-09-09 11:38:39.613305 : Epoch  5, Batch   1706, Loss  0.883172, Average Loss  0.870389, Time  0.392246
2021-09-09 11:38:41.517195 : Epoch  5, Batch   1707, Loss  0.877146, Average Loss  0.870392, Time  0.423294
2021-09-09 11:38:43.346637 : Epoch  5, Batch   1708, Loss  0.898155, Average Loss  0.870596, Time  0.355803
2021-09-09 11:38:45.246139 : Epoch  5, Batch   1709, Loss  0.867316, Average Loss  0.870528, Time  0.367403
2021-09-09 11:38:47.031840 : Epoch  5, Batch   1710, Loss  0.870349, Average Loss  0.870429, Time  0.347581
2021-09-09 11:38:48.807299 : Epoch  5, Batch   1711, Loss  0.860278, Average Loss  0.870306, Time  0.347359
2021-09-09 11:38:50.645937 : Epoch  5, Batch   1712, Loss  0.875851, Average Loss  0.870286, Time  0.398647
2021-09-09 11:38:52.526411 : Epoch  5, Batch   1713, Loss  0.887657, Average Loss  0.870275, Time  0.407043
2021-09-09 11:38:54.382353 : Epoch  5, Batch   1714, Loss  0.856553, Average Loss  0.870273, Time  0.369029
2021-09-09 11:38:56.329480 : Epoch  5, Batch   1715, Loss  0.862212, Average Loss  0.870394, Time  0.448437
2021-09-09 11:38:58.183886 : Epoch  5, Batch   1716, Loss  0.865874, Average Loss  0.870341, Time  0.381505
2021-09-09 11:39:00.048103 : Epoch  5, Batch   1717, Loss  0.868300, Average Loss  0.870390, Time  0.375360
2021-09-09 11:39:01.951300 : Epoch  5, Batch   1718, Loss  0.871076, Average Loss  0.870567, Time  0.443748
2021-09-09 11:39:03.839781 : Epoch  5, Batch   1719, Loss  0.881032, Average Loss  0.870562, Time  0.400682
2021-09-09 11:39:05.739515 : Epoch  5, Batch   1720, Loss  0.858040, Average Loss  0.870462, Time  0.422886
2021-09-09 11:39:07.620352 : Epoch  5, Batch   1721, Loss  0.884665, Average Loss  0.870614, Time  0.392981
2021-09-09 11:39:09.409941 : Epoch  5, Batch   1722, Loss  0.872822, Average Loss  0.870470, Time  0.354798
2021-09-09 11:39:11.348308 : Epoch  5, Batch   1723, Loss  0.828139, Average Loss  0.870220, Time  0.462809
2021-09-09 11:39:13.206273 : Epoch  5, Batch   1724, Loss  0.878901, Average Loss  0.870308, Time  0.396626
2021-09-09 11:39:15.072957 : Epoch  5, Batch   1725, Loss  0.828857, Average Loss  0.870136, Time  0.399072
2021-09-09 11:39:17.037620 : Epoch  5, Batch   1726, Loss  0.872087, Average Loss  0.869948, Time  0.484315
2021-09-09 11:39:18.943801 : Epoch  5, Batch   1727, Loss  0.858999, Average Loss  0.870071, Time  0.431000
2021-09-09 11:39:20.812511 : Epoch  5, Batch   1728, Loss  0.882039, Average Loss  0.870098, Time  0.388168
2021-09-09 11:39:22.689186 : Epoch  5, Batch   1729, Loss  0.873802, Average Loss  0.870232, Time  0.413287
2021-09-09 11:39:24.448151 : Epoch  5, Batch   1730, Loss  0.875779, Average Loss  0.870310, Time  0.339362
2021-09-09 11:39:26.238785 : Epoch  5, Batch   1731, Loss  0.825063, Average Loss  0.869992, Time  0.359441
2021-09-09 11:39:28.178212 : Epoch  5, Batch   1732, Loss  0.865576, Average Loss  0.869959, Time  0.475185
2021-09-09 11:39:30.046779 : Epoch  5, Batch   1733, Loss  0.894919, Average Loss  0.869897, Time  0.386548
2021-09-09 11:39:31.940056 : Epoch  5, Batch   1734, Loss  0.874674, Average Loss  0.870020, Time  0.415282
2021-09-09 11:39:33.811311 : Epoch  5, Batch   1735, Loss  0.857825, Average Loss  0.870081, Time  0.394201
2021-09-09 11:39:35.673050 : Epoch  5, Batch   1736, Loss  0.882820, Average Loss  0.870038, Time  0.387092
2021-09-09 11:39:37.537228 : Epoch  5, Batch   1737, Loss  0.876931, Average Loss  0.870137, Time  0.403077
2021-09-09 11:39:39.422798 : Epoch  5, Batch   1738, Loss  0.877327, Average Loss  0.870160, Time  0.412687
2021-09-09 11:39:41.307973 : Epoch  5, Batch   1739, Loss  0.886911, Average Loss  0.870242, Time  0.394938
2021-09-09 11:39:43.158020 : Epoch  5, Batch   1740, Loss  0.853152, Average Loss  0.870118, Time  0.375436
2021-09-09 11:39:45.111324 : Epoch  5, Batch   1741, Loss  0.882892, Average Loss  0.870042, Time  0.453435
2021-09-09 11:39:46.978784 : Epoch  5, Batch   1742, Loss  0.890692, Average Loss  0.870102, Time  0.377235
2021-09-09 11:39:48.938765 : Epoch  5, Batch   1743, Loss  0.842188, Average Loss  0.869937, Time  0.469401
2021-09-09 11:39:50.891169 : Epoch  5, Batch   1744, Loss  0.857868, Average Loss  0.869847, Time  0.393806
2021-09-09 11:39:52.727566 : Epoch  5, Batch   1745, Loss  0.843278, Average Loss  0.869602, Time  0.347306
2021-09-09 11:39:54.511780 : Epoch  5, Batch   1746, Loss  0.859453, Average Loss  0.869601, Time  0.320689
2021-09-09 11:39:56.449993 : Epoch  5, Batch   1747, Loss  0.853812, Average Loss  0.869632, Time  0.430883
2021-09-09 11:39:58.354885 : Epoch  5, Batch   1748, Loss  0.857170, Average Loss  0.869571, Time  0.439017
2021-09-09 11:40:00.220781 : Epoch  5, Batch   1749, Loss  0.868552, Average Loss  0.869648, Time  0.394686
2021-09-09 11:40:02.053068 : Epoch  5, Batch   1750, Loss  0.868379, Average Loss  0.869603, Time  0.371953
2021-09-09 11:40:03.928785 : Epoch  5, Batch   1751, Loss  0.880884, Average Loss  0.869746, Time  0.414445
2021-09-09 11:40:05.788878 : Epoch  5, Batch   1752, Loss  0.882008, Average Loss  0.869731, Time  0.389528
2021-09-09 11:40:07.750986 : Epoch  5, Batch   1753, Loss  0.882058, Average Loss  0.869786, Time  0.469826
2021-09-09 11:40:09.608244 : Epoch  5, Batch   1754, Loss  0.856127, Average Loss  0.869591, Time  0.385842
2021-09-09 11:40:11.470414 : Epoch  5, Batch   1755, Loss  0.834964, Average Loss  0.869389, Time  0.391495
2021-09-09 11:40:13.358821 : Epoch  5, Batch   1756, Loss  0.898696, Average Loss  0.869606, Time  0.421665
2021-09-09 11:45:12.471732 : CheckPoint: Validation Loss  0.00061584, Best Loss  0.00056427
2021-09-09 11:45:14.235782 : Epoch  5, Batch   1757, Loss  0.882456, Average Loss  0.869584, Time  0.331909
2021-09-09 11:45:16.023820 : Epoch  5, Batch   1758, Loss  0.826659, Average Loss  0.869438, Time  0.357838
2021-09-09 11:45:17.863023 : Epoch  5, Batch   1759, Loss  0.856246, Average Loss  0.869510, Time  0.381428
2021-09-09 11:45:19.653790 : Epoch  5, Batch   1760, Loss  0.915445, Average Loss  0.869793, Time  0.341114
2021-09-09 11:45:21.483257 : Epoch  5, Batch   1761, Loss  0.864796, Average Loss  0.869757, Time  0.399264
2021-09-09 11:45:23.301645 : Epoch  5, Batch   1762, Loss  0.902843, Average Loss  0.869752, Time  0.354642
2021-09-09 11:45:25.058156 : Epoch  5, Batch   1763, Loss  0.891384, Average Loss  0.869975, Time  0.321243
2021-09-09 11:45:26.845839 : Epoch  5, Batch   1764, Loss  0.871258, Average Loss  0.870026, Time  0.333808
2021-09-09 11:45:28.700804 : Epoch  5, Batch   1765, Loss  0.869528, Average Loss  0.870012, Time  0.397634
2021-09-09 11:45:30.569714 : Epoch  5, Batch   1766, Loss  0.857700, Average Loss  0.869869, Time  0.394565
2021-09-09 11:45:32.437296 : Epoch  5, Batch   1767, Loss  0.840997, Average Loss  0.869601, Time  0.382328
2021-09-09 11:45:34.360836 : Epoch  5, Batch   1768, Loss  0.861769, Average Loss  0.869551, Time  0.438714
2021-09-09 11:45:36.223204 : Epoch  5, Batch   1769, Loss  0.842516, Average Loss  0.869266, Time  0.391977
2021-09-09 11:45:38.081922 : Epoch  5, Batch   1770, Loss  0.882771, Average Loss  0.869417, Time  0.388027
2021-09-09 11:45:39.915478 : Epoch  5, Batch   1771, Loss  0.891499, Average Loss  0.869509, Time  0.384821
2021-09-09 11:45:41.842074 : Epoch  5, Batch   1772, Loss  0.860532, Average Loss  0.869523, Time  0.395921
2021-09-09 11:45:43.733248 : Epoch  5, Batch   1773, Loss  0.833745, Average Loss  0.869293, Time  0.414155
2021-09-09 11:45:45.662449 : Epoch  5, Batch   1774, Loss  0.858700, Average Loss  0.869173, Time  0.451248
2021-09-09 11:45:47.521786 : Epoch  5, Batch   1775, Loss  0.853377, Average Loss  0.868943, Time  0.394845
2021-09-09 11:45:49.470797 : Epoch  5, Batch   1776, Loss  0.838864, Average Loss  0.868839, Time  0.464563
2021-09-09 11:45:51.285780 : Epoch  5, Batch   1777, Loss  0.854325, Average Loss  0.868733, Time  0.382313
2021-09-09 11:45:53.076872 : Epoch  5, Batch   1778, Loss  0.892932, Average Loss  0.869017, Time  0.368398
2021-09-09 11:45:54.951797 : Epoch  5, Batch   1779, Loss  0.883538, Average Loss  0.868937, Time  0.434793
2021-09-09 11:45:56.720792 : Epoch  5, Batch   1780, Loss  0.898634, Average Loss  0.869180, Time  0.347350
2021-09-09 11:45:58.512984 : Epoch  5, Batch   1781, Loss  0.844062, Average Loss  0.868999, Time  0.348243
2021-09-09 11:46:00.488790 : Epoch  5, Batch   1782, Loss  0.891506, Average Loss  0.869328, Time  0.496368
2021-09-09 11:46:02.288774 : Epoch  5, Batch   1783, Loss  0.853816, Average Loss  0.869310, Time  0.361038
2021-09-09 11:46:04.098786 : Epoch  5, Batch   1784, Loss  0.840102, Average Loss  0.869290, Time  0.356954
2021-09-09 11:46:06.020775 : Epoch  5, Batch   1785, Loss  0.868435, Average Loss  0.869286, Time  0.418519
2021-09-09 11:46:07.830922 : Epoch  5, Batch   1786, Loss  0.884771, Average Loss  0.869312, Time  0.360516
2021-09-09 11:46:09.754812 : Epoch  5, Batch   1787, Loss  0.869332, Average Loss  0.869237, Time  0.402393
2021-09-09 11:46:11.685515 : Epoch  5, Batch   1788, Loss  0.878547, Average Loss  0.869120, Time  0.394281
2021-09-09 11:46:13.578722 : Epoch  5, Batch   1789, Loss  0.913002, Average Loss  0.869288, Time  0.380513
2021-09-09 11:46:15.520327 : Epoch  5, Batch   1790, Loss  0.880177, Average Loss  0.869162, Time  0.468159
2021-09-09 11:46:17.424837 : Epoch  5, Batch   1791, Loss  0.851083, Average Loss  0.869114, Time  0.416673
2021-09-09 11:46:19.302025 : Epoch  5, Batch   1792, Loss  0.867080, Average Loss  0.869103, Time  0.390800
2021-09-09 11:46:21.195835 : Epoch  5, Batch   1793, Loss  0.871461, Average Loss  0.869150, Time  0.416627
2021-09-09 11:46:23.066807 : Epoch  5, Batch   1794, Loss  0.875863, Average Loss  0.869135, Time  0.395633
2021-09-09 11:46:24.991873 : Epoch  5, Batch   1795, Loss  0.884358, Average Loss  0.869254, Time  0.422084
2021-09-09 11:46:26.935201 : Epoch  5, Batch   1796, Loss  0.868870, Average Loss  0.869318, Time  0.403836
2021-09-09 11:46:28.813827 : Epoch  5, Batch   1797, Loss  0.887926, Average Loss  0.869291, Time  0.402701
2021-09-09 11:46:30.784295 : Epoch  5, Batch   1798, Loss  0.876357, Average Loss  0.869306, Time  0.458227
2021-09-09 11:46:32.653466 : Epoch  5, Batch   1799, Loss  0.876200, Average Loss  0.869444, Time  0.397408
2021-09-09 11:46:34.487807 : Epoch  5, Batch   1800, Loss  0.929317, Average Loss  0.869656, Time  0.370231
2021-09-09 11:46:36.430422 : Epoch  5, Batch   1801, Loss  0.851544, Average Loss  0.869544, Time  0.483186
2021-09-09 11:46:38.260945 : Epoch  5, Batch   1802, Loss  0.908496, Average Loss  0.869743, Time  0.343670
2021-09-09 11:46:40.052979 : Epoch  5, Batch   1803, Loss  0.888802, Average Loss  0.869936, Time  0.350988
2021-09-09 11:46:41.884243 : Epoch  5, Batch   1804, Loss  0.879549, Average Loss  0.869988, Time  0.404217
2021-09-09 11:46:43.749289 : Epoch  5, Batch   1805, Loss  0.857437, Average Loss  0.869887, Time  0.359582
2021-09-09 11:46:45.607637 : Epoch  5, Batch   1806, Loss  0.898323, Average Loss  0.870033, Time  0.423199
2021-09-09 11:46:47.465915 : Epoch  5, Batch   1807, Loss  0.884390, Average Loss  0.869905, Time  0.428649
2021-09-09 11:46:49.274861 : Epoch  5, Batch   1808, Loss  0.876490, Average Loss  0.869990, Time  0.363887
2021-09-09 11:46:51.061382 : Epoch  5, Batch   1809, Loss  0.860186, Average Loss  0.869826, Time  0.359642
2021-09-09 11:46:53.009506 : Epoch  5, Batch   1810, Loss  0.872405, Average Loss  0.869738, Time  0.461204
2021-09-09 11:46:54.871783 : Epoch  5, Batch   1811, Loss  0.878823, Average Loss  0.869898, Time  0.396745
2021-09-09 11:46:56.725682 : Epoch  5, Batch   1812, Loss  0.887517, Average Loss  0.869979, Time  0.380590
2021-09-09 11:46:58.616547 : Epoch  5, Batch   1813, Loss  0.875473, Average Loss  0.870055, Time  0.415766
2021-09-09 11:47:00.420179 : Epoch  5, Batch   1814, Loss  0.874469, Average Loss  0.870127, Time  0.356773
2021-09-09 11:47:02.250361 : Epoch  5, Batch   1815, Loss  0.870568, Average Loss  0.870100, Time  0.396780
2021-09-09 11:47:04.042748 : Epoch  5, Batch   1816, Loss  0.855065, Average Loss  0.869990, Time  0.352333
2021-09-09 11:47:05.961738 : Epoch  5, Batch   1817, Loss  0.849248, Average Loss  0.869858, Time  0.384346
2021-09-09 11:47:07.812789 : Epoch  5, Batch   1818, Loss  0.886456, Average Loss  0.870046, Time  0.396812
2021-09-09 11:47:09.676530 : Epoch  5, Batch   1819, Loss  0.854565, Average Loss  0.869911, Time  0.391448
2021-09-09 11:47:11.554116 : Epoch  5, Batch   1820, Loss  0.884033, Average Loss  0.870042, Time  0.406678
2021-09-09 11:47:13.400790 : Epoch  5, Batch   1821, Loss  0.866850, Average Loss  0.869808, Time  0.388556
2021-09-09 11:47:15.282201 : Epoch  5, Batch   1822, Loss  0.877781, Average Loss  0.869710, Time  0.392046
2021-09-09 11:47:17.225287 : Epoch  5, Batch   1823, Loss  0.882406, Average Loss  0.869883, Time  0.469304
2021-09-09 11:47:19.084785 : Epoch  5, Batch   1824, Loss  0.874531, Average Loss  0.869753, Time  0.393726
2021-09-09 11:47:20.968190 : Epoch  5, Batch   1825, Loss  0.876004, Average Loss  0.869756, Time  0.394020
2021-09-09 11:47:22.743044 : Epoch  5, Batch   1826, Loss  0.850226, Average Loss  0.869591, Time  0.349314
2021-09-09 11:47:24.528794 : Epoch  5, Batch   1827, Loss  0.868264, Average Loss  0.869545, Time  0.370131
2021-09-09 11:47:26.333906 : Epoch  5, Batch   1828, Loss  0.893068, Average Loss  0.869765, Time  0.377148
2021-09-09 11:47:28.118278 : Epoch  5, Batch   1829, Loss  0.879979, Average Loss  0.869880, Time  0.347964
2021-09-09 11:47:29.952777 : Epoch  5, Batch   1830, Loss  0.872297, Average Loss  0.870095, Time  0.409053
2021-09-09 11:47:31.737986 : Epoch  5, Batch   1831, Loss  0.887567, Average Loss  0.870133, Time  0.356767
2021-09-09 11:47:33.548778 : Epoch  5, Batch   1832, Loss  0.885112, Average Loss  0.870208, Time  0.362008
2021-09-09 11:47:35.456837 : Epoch  5, Batch   1833, Loss  0.849041, Average Loss  0.870148, Time  0.438479
2021-09-09 11:47:37.314774 : Epoch  5, Batch   1834, Loss  0.863159, Average Loss  0.870143, Time  0.349545
2021-09-09 11:47:39.075973 : Epoch  5, Batch   1835, Loss  0.840689, Average Loss  0.869917, Time  0.337175
2021-09-09 11:47:40.838783 : Epoch  5, Batch   1836, Loss  0.866412, Average Loss  0.869899, Time  0.346030
2021-09-09 11:47:42.632773 : Epoch  5, Batch   1837, Loss  0.846685, Average Loss  0.869905, Time  0.346865
2021-09-09 11:47:44.510031 : Epoch  5, Batch   1838, Loss  0.906609, Average Loss  0.870030, Time  0.438596
2021-09-09 11:47:46.295791 : Epoch  5, Batch   1839, Loss  0.860497, Average Loss  0.869934, Time  0.360546
2021-09-09 11:47:48.110906 : Epoch  5, Batch   1840, Loss  0.862338, Average Loss  0.869907, Time  0.387804
2021-09-09 11:47:49.954834 : Epoch  5, Batch   1841, Loss  0.834953, Average Loss  0.869785, Time  0.407185
2021-09-09 11:47:51.881813 : Epoch  5, Batch   1842, Loss  0.854527, Average Loss  0.869652, Time  0.449235
2021-09-09 11:47:53.796860 : Epoch  5, Batch   1843, Loss  0.858899, Average Loss  0.869684, Time  0.411749
2021-09-09 11:47:55.673815 : Epoch  5, Batch   1844, Loss  0.857068, Average Loss  0.869678, Time  0.374831
2021-09-09 11:47:57.536789 : Epoch  5, Batch   1845, Loss  0.879589, Average Loss  0.869700, Time  0.351839
2021-09-09 11:47:59.375005 : Epoch  5, Batch   1846, Loss  0.887225, Average Loss  0.869708, Time  0.396716
2021-09-09 11:48:01.265786 : Epoch  5, Batch   1847, Loss  0.868353, Average Loss  0.869767, Time  0.393151
2021-09-09 11:48:03.178808 : Epoch  5, Batch   1848, Loss  0.868117, Average Loss  0.869708, Time  0.418196
2021-09-09 11:48:05.080271 : Epoch  5, Batch   1849, Loss  0.835952, Average Loss  0.869322, Time  0.432848
2021-09-09 11:48:06.925156 : Epoch  5, Batch   1850, Loss  0.888874, Average Loss  0.869532, Time  0.391635
2021-09-09 11:48:08.880816 : Epoch  5, Batch   1851, Loss  0.854109, Average Loss  0.869521, Time  0.461300
2021-09-09 11:48:10.756808 : Epoch  5, Batch   1852, Loss  0.882330, Average Loss  0.869656, Time  0.369143
2021-09-09 11:48:12.621165 : Epoch  5, Batch   1853, Loss  0.870966, Average Loss  0.869632, Time  0.380832
2021-09-09 11:48:14.608842 : Epoch  5, Batch   1854, Loss  0.869952, Average Loss  0.869447, Time  0.481901
2021-09-09 11:48:16.503216 : Epoch  5, Batch   1855, Loss  0.855298, Average Loss  0.869604, Time  0.401371
2021-09-09 11:48:18.358194 : Epoch  5, Batch   1856, Loss  0.852224, Average Loss  0.869480, Time  0.391789
2021-09-09 11:53:11.575718 : CheckPoint: Validation Loss  0.00059635, Best Loss  0.00056427
2021-09-09 11:53:13.431479 : Epoch  5, Batch   1857, Loss  0.858465, Average Loss  0.869459, Time  0.415715
2021-09-09 11:53:15.220825 : Epoch  5, Batch   1858, Loss  0.871459, Average Loss  0.869353, Time  0.361701
2021-09-09 11:53:16.972130 : Epoch  5, Batch   1859, Loss  0.879523, Average Loss  0.869434, Time  0.337277
2021-09-09 11:53:18.758774 : Epoch  5, Batch   1860, Loss  0.893347, Average Loss  0.869579, Time  0.362018
2021-09-09 11:53:20.572299 : Epoch  5, Batch   1861, Loss  0.864632, Average Loss  0.869546, Time  0.396069
2021-09-09 11:53:22.344778 : Epoch  5, Batch   1862, Loss  0.894804, Average Loss  0.869526, Time  0.345383
2021-09-09 11:53:24.235808 : Epoch  5, Batch   1863, Loss  0.880054, Average Loss  0.869639, Time  0.417853
2021-09-09 11:53:26.197861 : Epoch  5, Batch   1864, Loss  0.870615, Average Loss  0.869649, Time  0.469392
2021-09-09 11:53:28.030917 : Epoch  5, Batch   1865, Loss  0.859063, Average Loss  0.869640, Time  0.352512
2021-09-09 11:53:29.796783 : Epoch  5, Batch   1866, Loss  0.900542, Average Loss  0.869803, Time  0.357077
2021-09-09 11:53:31.629064 : Epoch  5, Batch   1867, Loss  0.883834, Average Loss  0.869843, Time  0.375095
2021-09-09 11:53:33.445099 : Epoch  5, Batch   1868, Loss  0.863153, Average Loss  0.869928, Time  0.379073
2021-09-09 11:53:35.328827 : Epoch  5, Batch   1869, Loss  0.878571, Average Loss  0.870096, Time  0.413531
2021-09-09 11:53:37.323492 : Epoch  5, Batch   1870, Loss  0.847693, Average Loss  0.870119, Time  0.529863
2021-09-09 11:53:39.146801 : Epoch  5, Batch   1871, Loss  0.879555, Average Loss  0.870242, Time  0.382658
2021-09-09 11:53:41.034995 : Epoch  5, Batch   1872, Loss  0.842243, Average Loss  0.870092, Time  0.437988
2021-09-09 11:53:42.801785 : Epoch  5, Batch   1873, Loss  0.865992, Average Loss  0.870131, Time  0.332699
2021-09-09 11:53:44.585327 : Epoch  5, Batch   1874, Loss  0.875597, Average Loss  0.870351, Time  0.362182
2021-09-09 11:53:46.495776 : Epoch  5, Batch   1875, Loss  0.853653, Average Loss  0.870194, Time  0.427562
2021-09-09 11:53:48.271774 : Epoch  5, Batch   1876, Loss  0.848648, Average Loss  0.870004, Time  0.344996
2021-09-09 11:53:50.107025 : Epoch  5, Batch   1877, Loss  0.871454, Average Loss  0.870003, Time  0.357168
2021-09-09 11:53:52.126798 : Epoch  5, Batch   1878, Loss  0.887158, Average Loss  0.870140, Time  0.370656
2021-09-09 11:53:53.904777 : Epoch  5, Batch   1879, Loss  0.832019, Average Loss  0.869900, Time  0.336869
2021-09-09 11:53:55.728947 : Epoch  5, Batch   1880, Loss  0.831705, Average Loss  0.869515, Time  0.347998
2021-09-09 11:53:57.566912 : Epoch  5, Batch   1881, Loss  0.885554, Average Loss  0.869731, Time  0.346961
2021-09-09 11:53:59.346954 : Epoch  5, Batch   1882, Loss  0.875836, Average Loss  0.869853, Time  0.355664
2021-09-09 11:54:01.230459 : Epoch  5, Batch   1883, Loss  0.857675, Average Loss  0.869807, Time  0.425954
2021-09-09 11:54:03.105671 : Epoch  5, Batch   1884, Loss  0.851656, Average Loss  0.869631, Time  0.410630
2021-09-09 11:54:05.051232 : Epoch  5, Batch   1885, Loss  0.905841, Average Loss  0.869823, Time  0.399647
2021-09-09 11:54:07.047787 : Epoch  5, Batch   1886, Loss  0.840996, Average Loss  0.869784, Time  0.422022
2021-09-09 11:54:08.934983 : Epoch  5, Batch   1887, Loss  0.901531, Average Loss  0.870026, Time  0.376044
2021-09-09 11:54:10.775476 : Epoch  5, Batch   1888, Loss  0.897131, Average Loss  0.870279, Time  0.359178
2021-09-09 11:54:12.599697 : Epoch  5, Batch   1889, Loss  0.883590, Average Loss  0.870441, Time  0.388914
2021-09-09 11:54:14.472778 : Epoch  5, Batch   1890, Loss  0.858376, Average Loss  0.870371, Time  0.406657
2021-09-09 11:54:16.317446 : Epoch  5, Batch   1891, Loss  0.825065, Average Loss  0.870058, Time  0.412124
2021-09-09 11:54:18.137821 : Epoch  5, Batch   1892, Loss  0.865883, Average Loss  0.869802, Time  0.354829
2021-09-09 11:54:19.953478 : Epoch  5, Batch   1893, Loss  0.854663, Average Loss  0.869771, Time  0.391699
2021-09-09 11:54:21.725994 : Epoch  5, Batch   1894, Loss  0.846313, Average Loss  0.869698, Time  0.350661
2021-09-09 11:54:23.614440 : Epoch  5, Batch   1895, Loss  0.866835, Average Loss  0.869610, Time  0.401278
2021-09-09 11:54:25.537845 : Epoch  5, Batch   1896, Loss  0.855694, Average Loss  0.869484, Time  0.427696
2021-09-09 11:54:27.312788 : Epoch  5, Batch   1897, Loss  0.881253, Average Loss  0.869592, Time  0.382212
2021-09-09 11:54:29.237784 : Epoch  5, Batch   1898, Loss  0.902103, Average Loss  0.869804, Time  0.455588
2021-09-09 11:54:31.115785 : Epoch  5, Batch   1899, Loss  0.890784, Average Loss  0.870042, Time  0.399453
2021-09-09 11:54:32.965861 : Epoch  5, Batch   1900, Loss  0.881427, Average Loss  0.869984, Time  0.392749
2021-09-09 11:54:34.896797 : Epoch  5, Batch   1901, Loss  0.843277, Average Loss  0.869819, Time  0.451268
2021-09-09 11:54:36.772783 : Epoch  5, Batch   1902, Loss  0.892215, Average Loss  0.869824, Time  0.389848
2021-09-09 11:54:38.667792 : Epoch  5, Batch   1903, Loss  0.885019, Average Loss  0.869872, Time  0.417448
2021-09-09 11:54:40.535786 : Epoch  5, Batch   1904, Loss  0.880094, Average Loss  0.869938, Time  0.391758
2021-09-09 11:54:42.382167 : Epoch  5, Batch   1905, Loss  0.875615, Average Loss  0.869990, Time  0.389725
2021-09-09 11:54:44.316851 : Epoch  5, Batch   1906, Loss  0.848762, Average Loss  0.869818, Time  0.464287
2021-09-09 11:54:46.132835 : Epoch  5, Batch   1907, Loss  0.847919, Average Loss  0.869672, Time  0.343878
2021-09-09 11:54:47.939017 : Epoch  5, Batch   1908, Loss  0.863987, Average Loss  0.869501, Time  0.363591
2021-09-09 11:54:49.866629 : Epoch  5, Batch   1909, Loss  0.883155, Average Loss  0.869581, Time  0.460796
2021-09-09 11:54:51.707051 : Epoch  5, Batch   1910, Loss  0.880856, Average Loss  0.869633, Time  0.371345
2021-09-09 11:54:53.481074 : Epoch  5, Batch   1911, Loss  0.884061, Average Loss  0.869752, Time  0.327468
2021-09-09 11:54:55.362789 : Epoch  5, Batch   1912, Loss  0.885791, Average Loss  0.869802, Time  0.387802
2021-09-09 11:54:57.220947 : Epoch  5, Batch   1913, Loss  0.864411, Average Loss  0.869686, Time  0.393778
2021-09-09 11:54:59.142191 : Epoch  5, Batch   1914, Loss  0.876727, Average Loss  0.869786, Time  0.468714
2021-09-09 11:55:01.003791 : Epoch  5, Batch   1915, Loss  0.885110, Average Loss  0.869901, Time  0.407393
2021-09-09 11:55:02.816063 : Epoch  5, Batch   1916, Loss  0.867279, Average Loss  0.869908, Time  0.358575
2021-09-09 11:55:04.585456 : Epoch  5, Batch   1917, Loss  0.864274, Average Loss  0.869888, Time  0.350057
2021-09-09 11:55:06.481251 : Epoch  5, Batch   1918, Loss  0.883576, Average Loss  0.869950, Time  0.413387
2021-09-09 11:55:08.411091 : Epoch  5, Batch   1919, Loss  0.857130, Average Loss  0.869831, Time  0.484552
2021-09-09 11:55:10.343852 : Epoch  5, Batch   1920, Loss  0.879559, Average Loss  0.869938, Time  0.450535
2021-09-09 11:55:12.196008 : Epoch  5, Batch   1921, Loss  0.905874, Average Loss  0.870044, Time  0.403881
2021-09-09 11:55:14.076133 : Epoch  5, Batch   1922, Loss  0.868669, Average Loss  0.870024, Time  0.426825
2021-09-09 11:55:15.864058 : Epoch  5, Batch   1923, Loss  0.857734, Average Loss  0.870172, Time  0.352123
2021-09-09 11:55:17.640791 : Epoch  5, Batch   1924, Loss  0.875988, Average Loss  0.870157, Time  0.350366
2021-09-09 11:55:19.406689 : Epoch  5, Batch   1925, Loss  0.872651, Average Loss  0.870376, Time  0.338677
2021-09-09 11:55:21.233662 : Epoch  5, Batch   1926, Loss  0.876924, Average Loss  0.870400, Time  0.350655
2021-09-09 11:55:23.127800 : Epoch  5, Batch   1927, Loss  0.866572, Average Loss  0.870438, Time  0.419744
2021-09-09 11:55:25.018144 : Epoch  5, Batch   1928, Loss  0.873910, Average Loss  0.870397, Time  0.412297
2021-09-09 11:55:26.920850 : Epoch  5, Batch   1929, Loss  0.866124, Average Loss  0.870359, Time  0.429031
2021-09-09 11:55:28.773198 : Epoch  5, Batch   1930, Loss  0.869280, Average Loss  0.870327, Time  0.381962
2021-09-09 11:55:30.650785 : Epoch  5, Batch   1931, Loss  0.870605, Average Loss  0.870554, Time  0.412612
2021-09-09 11:55:32.609848 : Epoch  5, Batch   1932, Loss  0.852898, Average Loss  0.870491, Time  0.461197
2021-09-09 11:55:34.393782 : Epoch  5, Batch   1933, Loss  0.909224, Average Loss  0.870562, Time  0.353764
2021-09-09 11:55:36.203876 : Epoch  5, Batch   1934, Loss  0.846023, Average Loss  0.870419, Time  0.396007
2021-09-09 11:55:37.949101 : Epoch  5, Batch   1935, Loss  0.884934, Average Loss  0.870555, Time  0.331962
2021-09-09 11:55:39.812240 : Epoch  5, Batch   1936, Loss  0.865044, Average Loss  0.870466, Time  0.425841
2021-09-09 11:55:41.639965 : Epoch  5, Batch   1937, Loss  0.877157, Average Loss  0.870467, Time  0.383071
2021-09-09 11:55:43.491280 : Epoch  5, Batch   1938, Loss  0.892153, Average Loss  0.870541, Time  0.394785
2021-09-09 11:55:45.264952 : Epoch  5, Batch   1939, Loss  0.887647, Average Loss  0.870545, Time  0.362312
2021-09-09 11:55:47.081834 : Epoch  5, Batch   1940, Loss  0.836592, Average Loss  0.870462, Time  0.361937
2021-09-09 11:55:48.999892 : Epoch  5, Batch   1941, Loss  0.861971, Average Loss  0.870357, Time  0.450375
2021-09-09 11:55:50.744039 : Epoch  5, Batch   1942, Loss  0.870874, Average Loss  0.870258, Time  0.334183
2021-09-09 11:55:52.508210 : Epoch  5, Batch   1943, Loss  0.877756, Average Loss  0.870436, Time  0.342150
2021-09-09 11:55:54.429494 : Epoch  5, Batch   1944, Loss  0.829959, Average Loss  0.870297, Time  0.479139
2021-09-09 11:55:56.213839 : Epoch  5, Batch   1945, Loss  0.839745, Average Loss  0.870279, Time  0.351393
2021-09-09 11:55:57.999867 : Epoch  5, Batch   1946, Loss  0.830506, Average Loss  0.870134, Time  0.358691
2021-09-09 11:55:59.770827 : Epoch  5, Batch   1947, Loss  0.891155, Average Loss  0.870321, Time  0.357539
2021-09-09 11:56:01.665751 : Epoch  5, Batch   1948, Loss  0.853894, Average Loss  0.870305, Time  0.374406
2021-09-09 11:56:03.558826 : Epoch  5, Batch   1949, Loss  0.875474, Average Loss  0.870339, Time  0.435532
2021-09-09 11:56:05.417408 : Epoch  5, Batch   1950, Loss  0.858880, Average Loss  0.870292, Time  0.403964
2021-09-09 11:56:07.217819 : Epoch  5, Batch   1951, Loss  0.845789, Average Loss  0.870116, Time  0.350366
2021-09-09 11:56:08.991210 : Epoch  5, Batch   1952, Loss  0.877482, Average Loss  0.870094, Time  0.346421
2021-09-09 11:56:10.757966 : Epoch  5, Batch   1953, Loss  0.879274, Average Loss  0.870080, Time  0.338416
2021-09-09 11:56:12.616252 : Epoch  5, Batch   1954, Loss  0.891706, Average Loss  0.870258, Time  0.432775
2021-09-09 11:56:14.405821 : Epoch  5, Batch   1955, Loss  0.888672, Average Loss  0.870526, Time  0.341425
2021-09-09 11:56:16.220226 : Epoch  5, Batch   1956, Loss  0.867721, Average Loss  0.870371, Time  0.384148
2021-09-09 12:01:10.326727 : CheckPoint: Validation Loss  0.00062700, Best Loss  0.00056427
2021-09-09 12:01:12.145069 : Epoch  5, Batch   1957, Loss  0.889857, Average Loss  0.870408, Time  0.374262
2021-09-09 12:01:13.978793 : Epoch  5, Batch   1958, Loss  0.835080, Average Loss  0.870450, Time  0.343301
2021-09-09 12:01:15.798786 : Epoch  5, Batch   1959, Loss  0.877333, Average Loss  0.870556, Time  0.365626
2021-09-09 12:01:17.803793 : Epoch  5, Batch   1960, Loss  0.866301, Average Loss  0.870310, Time  0.444041
2021-09-09 12:01:19.613785 : Epoch  5, Batch   1961, Loss  0.904399, Average Loss  0.870508, Time  0.364702
2021-09-09 12:01:21.463984 : Epoch  5, Batch   1962, Loss  0.869046, Average Loss  0.870339, Time  0.426793
2021-09-09 12:01:23.325833 : Epoch  5, Batch   1963, Loss  0.882299, Average Loss  0.870294, Time  0.393068
2021-09-09 12:01:25.189784 : Epoch  5, Batch   1964, Loss  0.864459, Average Loss  0.870260, Time  0.408636
2021-09-09 12:01:27.085970 : Epoch  5, Batch   1965, Loss  0.873641, Average Loss  0.870280, Time  0.426820
2021-09-09 12:01:28.937277 : Epoch  5, Batch   1966, Loss  0.842325, Average Loss  0.870203, Time  0.378964
2021-09-09 12:01:30.870349 : Epoch  5, Batch   1967, Loss  0.872830, Average Loss  0.870362, Time  0.451312
2021-09-09 12:01:32.717255 : Epoch  5, Batch   1968, Loss  0.877112, Average Loss  0.870439, Time  0.395009
2021-09-09 12:01:34.581161 : Epoch  5, Batch   1969, Loss  0.848585, Average Loss  0.870470, Time  0.386738
2021-09-09 12:01:36.494835 : Epoch  5, Batch   1970, Loss  0.887750, Average Loss  0.870494, Time  0.474720
2021-09-09 12:01:38.308774 : Epoch  5, Batch   1971, Loss  0.877482, Average Loss  0.870424, Time  0.352496
2021-09-09 12:01:40.148978 : Epoch  5, Batch   1972, Loss  0.872813, Average Loss  0.870486, Time  0.409909
2021-09-09 12:01:41.998784 : Epoch  5, Batch   1973, Loss  0.876851, Average Loss  0.870701, Time  0.387959
2021-09-09 12:01:43.871787 : Epoch  5, Batch   1974, Loss  0.860795, Average Loss  0.870712, Time  0.396393
2021-09-09 12:01:45.702218 : Epoch  5, Batch   1975, Loss  0.859167, Average Loss  0.870741, Time  0.348690
2021-09-09 12:01:47.469394 : Epoch  5, Batch   1976, Loss  0.885452, Average Loss  0.870974, Time  0.335553
2021-09-09 12:01:49.243774 : Epoch  5, Batch   1977, Loss  0.849832, Average Loss  0.870951, Time  0.337944
2021-09-09 12:01:51.082478 : Epoch  5, Batch   1978, Loss  0.888345, Average Loss  0.870928, Time  0.387978
2021-09-09 12:01:52.875879 : Epoch  5, Batch   1979, Loss  0.877965, Average Loss  0.870900, Time  0.350349
2021-09-09 12:01:54.693837 : Epoch  5, Batch   1980, Loss  0.872585, Average Loss  0.870770, Time  0.394349
2021-09-09 12:01:56.472101 : Epoch  5, Batch   1981, Loss  0.874344, Average Loss  0.870922, Time  0.346402
2021-09-09 12:01:58.299479 : Epoch  5, Batch   1982, Loss  0.874523, Average Loss  0.870837, Time  0.345179
2021-09-09 12:02:00.193753 : Epoch  5, Batch   1983, Loss  0.885244, Average Loss  0.870994, Time  0.418806
2021-09-09 12:02:02.073234 : Epoch  5, Batch   1984, Loss  0.853273, Average Loss  0.871060, Time  0.397719
2021-09-09 12:02:03.964836 : Epoch  5, Batch   1985, Loss  0.867455, Average Loss  0.871055, Time  0.418259
2021-09-09 12:02:05.744777 : Epoch  5, Batch   1986, Loss  0.871668, Average Loss  0.870989, Time  0.347860
2021-09-09 12:02:07.521070 : Epoch  5, Batch   1987, Loss  0.863844, Average Loss  0.870962, Time  0.352065
2021-09-09 12:02:09.302787 : Epoch  5, Batch   1988, Loss  0.872855, Average Loss  0.870933, Time  0.353565
2021-09-09 12:02:11.083987 : Epoch  5, Batch   1989, Loss  0.878142, Average Loss  0.870759, Time  0.355359
2021-09-09 12:02:12.963785 : Epoch  5, Batch   1990, Loss  0.873052, Average Loss  0.870723, Time  0.434871
2021-09-09 12:02:14.749200 : Epoch  5, Batch   1991, Loss  0.891618, Average Loss  0.870926, Time  0.357115
2021-09-09 12:02:16.564778 : Epoch  5, Batch   1992, Loss  0.874033, Average Loss  0.870961, Time  0.392248
2021-09-09 12:02:18.339242 : Epoch  5, Batch   1993, Loss  0.910041, Average Loss  0.871154, Time  0.353202
2021-09-09 12:02:20.102004 : Epoch  5, Batch   1994, Loss  0.868539, Average Loss  0.871117, Time  0.350888
2021-09-09 12:02:22.018695 : Epoch  5, Batch   1995, Loss  0.896816, Average Loss  0.871179, Time  0.449246
2021-09-09 12:02:23.914788 : Epoch  5, Batch   1996, Loss  0.860322, Average Loss  0.871137, Time  0.378986
2021-09-09 12:02:25.819907 : Epoch  5, Batch   1997, Loss  0.859724, Average Loss  0.870996, Time  0.410089
2021-09-09 12:02:27.648783 : Epoch  5, Batch   1998, Loss  0.875204, Average Loss  0.870990, Time  0.372779
2021-09-09 12:02:29.515832 : Epoch  5, Batch   1999, Loss  0.879423, Average Loss  0.871006, Time  0.397293
2021-09-09 12:02:31.407783 : Epoch  5, Batch   2000, Loss  0.869024, Average Loss  0.870705, Time  0.415330
2021-09-09 12:02:33.275664 : Epoch  5, Batch   2001, Loss  0.860711, Average Loss  0.870750, Time  0.396470
2021-09-09 12:02:35.162805 : Epoch  5, Batch   2002, Loss  0.890851, Average Loss  0.870662, Time  0.447876
2021-09-09 12:02:37.005269 : Epoch  5, Batch   2003, Loss  0.857559, Average Loss  0.870506, Time  0.381975
2021-09-09 12:02:38.866799 : Epoch  5, Batch   2004, Loss  0.858544, Average Loss  0.870401, Time  0.395883
2021-09-09 12:02:40.798301 : Epoch  5, Batch   2005, Loss  0.846828, Average Loss  0.870348, Time  0.433492
2021-09-09 12:02:42.670834 : Epoch  5, Batch   2006, Loss  0.841414, Average Loss  0.870063, Time  0.383905
2021-09-09 12:02:44.642161 : Epoch  5, Batch   2007, Loss  0.865361, Average Loss  0.869968, Time  0.455113
2021-09-09 12:02:46.522785 : Epoch  5, Batch   2008, Loss  0.872945, Average Loss  0.869950, Time  0.391266
2021-09-09 12:02:48.381784 : Epoch  5, Batch   2009, Loss  0.850124, Average Loss  0.869900, Time  0.387281
2021-09-09 12:02:50.264887 : Epoch  5, Batch   2010, Loss  0.865299, Average Loss  0.869865, Time  0.390128
2021-09-09 12:02:52.178352 : Epoch  5, Batch   2011, Loss  0.841228, Average Loss  0.869677, Time  0.396435
2021-09-09 12:02:54.074368 : Epoch  5, Batch   2012, Loss  0.901495, Average Loss  0.869747, Time  0.412951
2021-09-09 12:02:55.966220 : Epoch  5, Batch   2013, Loss  0.866340, Average Loss  0.869701, Time  0.422589
2021-09-09 12:02:57.825018 : Epoch  5, Batch   2014, Loss  0.881937, Average Loss  0.869738, Time  0.388409
2021-09-09 12:02:59.671972 : Epoch  5, Batch   2015, Loss  0.864490, Average Loss  0.869708, Time  0.412694
2021-09-09 12:03:01.543155 : Epoch  5, Batch   2016, Loss  0.893781, Average Loss  0.869901, Time  0.409440
2021-09-09 12:03:03.400207 : Epoch  5, Batch   2017, Loss  0.844919, Average Loss  0.869880, Time  0.385161
2021-09-09 12:03:05.311473 : Epoch  5, Batch   2018, Loss  0.869455, Average Loss  0.869795, Time  0.429771
2021-09-09 12:03:07.178787 : Epoch  5, Batch   2019, Loss  0.824764, Average Loss  0.869646, Time  0.382157
2021-09-09 12:03:09.027580 : Epoch  5, Batch   2020, Loss  0.860171, Average Loss  0.869526, Time  0.389961
2021-09-09 12:03:10.883013 : Epoch  5, Batch   2021, Loss  0.865942, Average Loss  0.869522, Time  0.395299
2021-09-09 12:03:12.747239 : Epoch  5, Batch   2022, Loss  0.867213, Average Loss  0.869469, Time  0.371829
2021-09-09 12:03:14.728902 : Epoch  5, Batch   2023, Loss  0.853209, Average Loss  0.869323, Time  0.456837
2021-09-09 12:03:16.623785 : Epoch  5, Batch   2024, Loss  0.879416, Average Loss  0.869347, Time  0.373086
2021-09-09 12:03:18.519240 : Epoch  5, Batch   2025, Loss  0.873028, Average Loss  0.869333, Time  0.437903
2021-09-09 12:03:20.377863 : Epoch  5, Batch   2026, Loss  0.856859, Average Loss  0.869366, Time  0.384850
2021-09-09 12:03:22.255905 : Epoch  5, Batch   2027, Loss  0.869554, Average Loss  0.869372, Time  0.395050
2021-09-09 12:03:24.140791 : Epoch  5, Batch   2028, Loss  0.877904, Average Loss  0.869296, Time  0.400260
2021-09-09 12:03:26.009983 : Epoch  5, Batch   2029, Loss  0.886022, Average Loss  0.869327, Time  0.395992
2021-09-09 12:03:27.848787 : Epoch  5, Batch   2030, Loss  0.871632, Average Loss  0.869323, Time  0.383416
2021-09-09 12:03:29.800959 : Epoch  5, Batch   2031, Loss  0.880684, Average Loss  0.869289, Time  0.455872
2021-09-09 12:03:31.711784 : Epoch  5, Batch   2032, Loss  0.908764, Average Loss  0.869407, Time  0.390712
2021-09-09 12:03:33.638797 : Epoch  5, Batch   2033, Loss  0.874448, Average Loss  0.869534, Time  0.427432
2021-09-09 12:03:35.560698 : Epoch  5, Batch   2034, Loss  0.864469, Average Loss  0.869541, Time  0.402780
2021-09-09 12:03:37.364045 : Epoch  5, Batch   2035, Loss  0.868352, Average Loss  0.869679, Time  0.358077
2021-09-09 12:03:39.261028 : Epoch  5, Batch   2036, Loss  0.884640, Average Loss  0.869770, Time  0.441063
2021-09-09 12:03:41.018828 : Epoch  5, Batch   2037, Loss  0.841191, Average Loss  0.869743, Time  0.336258
2021-09-09 12:03:42.878635 : Epoch  5, Batch   2038, Loss  0.867192, Average Loss  0.869546, Time  0.399773
2021-09-09 12:03:44.687787 : Epoch  5, Batch   2039, Loss  0.863260, Average Loss  0.869559, Time  0.394456
2021-09-09 12:03:46.485787 : Epoch  5, Batch   2040, Loss  0.849706, Average Loss  0.869496, Time  0.341469
2021-09-09 12:03:48.245642 : Epoch  5, Batch   2041, Loss  0.860658, Average Loss  0.869625, Time  0.342304
2021-09-09 12:03:50.136801 : Epoch  5, Batch   2042, Loss  0.862347, Average Loss  0.869664, Time  0.333313
2021-09-09 12:03:52.016276 : Epoch  5, Batch   2043, Loss  0.882021, Average Loss  0.869779, Time  0.419103
2021-09-09 12:03:53.775939 : Epoch  5, Batch   2044, Loss  0.845143, Average Loss  0.869720, Time  0.313019
2021-09-09 12:03:55.801496 : Epoch  5, Batch   2045, Loss  0.880792, Average Loss  0.869726, Time  0.420201
2021-09-09 12:03:57.774611 : Epoch  5, Batch   2046, Loss  0.865506, Average Loss  0.869617, Time  0.435105
2021-09-09 12:03:59.619833 : Epoch  5, Batch   2047, Loss  0.874270, Average Loss  0.869647, Time  0.401943
2021-09-09 12:04:01.507842 : Epoch  5, Batch   2048, Loss  0.820073, Average Loss  0.869407, Time  0.391471
2021-09-09 12:04:03.500637 : Epoch  5, Batch   2049, Loss  0.849598, Average Loss  0.869475, Time  0.505322
2021-09-09 12:04:05.375237 : Epoch  5, Batch   2050, Loss  0.859795, Average Loss  0.869329, Time  0.386227
2021-09-09 12:04:07.247096 : Epoch  5, Batch   2051, Loss  0.874852, Average Loss  0.869433, Time  0.395252
2021-09-09 12:04:09.149114 : Epoch  5, Batch   2052, Loss  0.873111, Average Loss  0.869387, Time  0.450061
2021-09-09 12:04:10.949231 : Epoch  5, Batch   2053, Loss  0.854695, Average Loss  0.869306, Time  0.356665
2021-09-09 12:04:12.791961 : Epoch  5, Batch   2054, Loss  0.867836, Average Loss  0.869295, Time  0.412767
2021-09-09 12:04:14.679809 : Epoch  5, Batch   2055, Loss  0.850237, Average Loss  0.869270, Time  0.361921
2021-09-09 12:04:16.604988 : Epoch  5, Batch   2056, Loss  0.889078, Average Loss  0.869454, Time  0.442673
2021-09-09 12:09:11.930738 : CheckPoint: Validation Loss  0.00060081, Best Loss  0.00056427
2021-09-09 12:09:13.826552 : Epoch  5, Batch   2057, Loss  0.882749, Average Loss  0.869576, Time  0.445942
2021-09-09 12:09:15.651995 : Epoch  5, Batch   2058, Loss  0.839322, Average Loss  0.869415, Time  0.345754
2021-09-09 12:09:17.482141 : Epoch  5, Batch   2059, Loss  0.874132, Average Loss  0.869388, Time  0.369576
2021-09-09 12:09:19.257902 : Epoch  5, Batch   2060, Loss  0.874093, Average Loss  0.869292, Time  0.352810
2021-09-09 12:09:21.044718 : Epoch  5, Batch   2061, Loss  0.847618, Average Loss  0.869207, Time  0.348526
2021-09-09 12:09:22.909785 : Epoch  5, Batch   2062, Loss  0.862531, Average Loss  0.869045, Time  0.432156
2021-09-09 12:09:24.692163 : Epoch  5, Batch   2063, Loss  0.843714, Average Loss  0.868863, Time  0.336953
2021-09-09 12:09:26.531782 : Epoch  5, Batch   2064, Loss  0.885729, Average Loss  0.868939, Time  0.402317
2021-09-09 12:09:28.325776 : Epoch  5, Batch   2065, Loss  0.841402, Average Loss  0.868851, Time  0.341938
2021-09-09 12:09:30.097782 : Epoch  5, Batch   2066, Loss  0.877215, Average Loss  0.868734, Time  0.336870
2021-09-09 12:09:31.939780 : Epoch  5, Batch   2067, Loss  0.891481, Average Loss  0.868772, Time  0.417451
2021-09-09 12:09:33.696834 : Epoch  5, Batch   2068, Loss  0.839764, Average Loss  0.868655, Time  0.328403
2021-09-09 12:09:35.576287 : Epoch  5, Batch   2069, Loss  0.832198, Average Loss  0.868424, Time  0.414439
2021-09-09 12:09:37.350439 : Epoch  5, Batch   2070, Loss  0.871077, Average Loss  0.868540, Time  0.336809
2021-09-09 12:09:39.131521 : Epoch  5, Batch   2071, Loss  0.877361, Average Loss  0.868529, Time  0.354087
2021-09-09 12:09:40.970787 : Epoch  5, Batch   2072, Loss  0.882512, Average Loss  0.868731, Time  0.393970
2021-09-09 12:09:42.763206 : Epoch  5, Batch   2073, Loss  0.875339, Average Loss  0.868778, Time  0.356381
2021-09-09 12:09:44.597146 : Epoch  5, Batch   2074, Loss  0.855416, Average Loss  0.868677, Time  0.398920
2021-09-09 12:09:46.410788 : Epoch  5, Batch   2075, Loss  0.885086, Average Loss  0.868834, Time  0.354134
2021-09-09 12:09:48.189090 : Epoch  5, Batch   2076, Loss  0.859236, Average Loss  0.868887, Time  0.350183
2021-09-09 12:09:50.114481 : Epoch  5, Batch   2077, Loss  0.868636, Average Loss  0.868873, Time  0.434389
2021-09-09 12:09:51.859909 : Epoch  5, Batch   2078, Loss  0.869654, Average Loss  0.868785, Time  0.330671
2021-09-09 12:09:53.637281 : Epoch  5, Batch   2079, Loss  0.869789, Average Loss  0.868974, Time  0.349041
2021-09-09 12:09:55.463794 : Epoch  5, Batch   2080, Loss  0.847595, Average Loss  0.869053, Time  0.355124
2021-09-09 12:09:57.215898 : Epoch  5, Batch   2081, Loss  0.867128, Average Loss  0.868961, Time  0.335872
2021-09-09 12:09:59.069853 : Epoch  5, Batch   2082, Loss  0.921093, Average Loss  0.869188, Time  0.396917
2021-09-09 12:10:00.859775 : Epoch  5, Batch   2083, Loss  0.866919, Average Loss  0.869234, Time  0.351732
2021-09-09 12:10:02.765775 : Epoch  5, Batch   2084, Loss  0.891952, Average Loss  0.869435, Time  0.397661
2021-09-09 12:10:04.706829 : Epoch  5, Batch   2085, Loss  0.864592, Average Loss  0.869229, Time  0.449587
2021-09-09 12:10:06.585863 : Epoch  5, Batch   2086, Loss  0.846334, Average Loss  0.869256, Time  0.414160
2021-09-09 12:10:08.498101 : Epoch  5, Batch   2087, Loss  0.880048, Average Loss  0.869148, Time  0.419263
2021-09-09 12:10:10.409468 : Epoch  5, Batch   2088, Loss  0.899625, Average Loss  0.869161, Time  0.458876
2021-09-09 12:10:12.300132 : Epoch  5, Batch   2089, Loss  0.846577, Average Loss  0.868976, Time  0.398356
2021-09-09 12:10:14.222786 : Epoch  5, Batch   2090, Loss  0.874330, Average Loss  0.869056, Time  0.463835
2021-09-09 12:10:16.087212 : Epoch  5, Batch   2091, Loss  0.904510, Average Loss  0.869453, Time  0.391166
2021-09-09 12:10:17.941792 : Epoch  5, Batch   2092, Loss  0.879098, Average Loss  0.869519, Time  0.366060
2021-09-09 12:10:19.870389 : Epoch  5, Batch   2093, Loss  0.879588, Average Loss  0.869643, Time  0.452736
2021-09-09 12:10:21.751825 : Epoch  5, Batch   2094, Loss  0.866609, Average Loss  0.869745, Time  0.396365
2021-09-09 12:10:23.599840 : Epoch  5, Batch   2095, Loss  0.880475, Average Loss  0.869813, Time  0.377277
2021-09-09 12:10:25.518229 : Epoch  5, Batch   2096, Loss  0.885179, Average Loss  0.869961, Time  0.455129
2021-09-09 12:10:27.381379 : Epoch  5, Batch   2097, Loss  0.899223, Average Loss  0.870050, Time  0.394741
2021-09-09 12:10:29.284812 : Epoch  5, Batch   2098, Loss  0.867600, Average Loss  0.869878, Time  0.443959
2021-09-09 12:10:31.189798 : Epoch  5, Batch   2099, Loss  0.881276, Average Loss  0.869830, Time  0.422636
2021-09-09 12:10:33.031071 : Epoch  5, Batch   2100, Loss  0.854223, Average Loss  0.869694, Time  0.385362
2021-09-09 12:10:34.981834 : Epoch  5, Batch   2101, Loss  0.857930, Average Loss  0.869768, Time  0.472967
2021-09-09 12:10:36.876265 : Epoch  5, Batch   2102, Loss  0.880969, Average Loss  0.869711, Time  0.401085
2021-09-09 12:10:38.753785 : Epoch  5, Batch   2103, Loss  0.842123, Average Loss  0.869497, Time  0.397034
2021-09-09 12:10:40.672268 : Epoch  5, Batch   2104, Loss  0.874350, Average Loss  0.869468, Time  0.446733
2021-09-09 12:10:42.531063 : Epoch  5, Batch   2105, Loss  0.864468, Average Loss  0.869412, Time  0.398458
2021-09-09 12:10:44.379776 : Epoch  5, Batch   2106, Loss  0.883736, Average Loss  0.869587, Time  0.380452
2021-09-09 12:10:46.202133 : Epoch  5, Batch   2107, Loss  0.874034, Average Loss  0.869718, Time  0.356124
2021-09-09 12:10:48.029775 : Epoch  5, Batch   2108, Loss  0.841702, Average Loss  0.869606, Time  0.347817
2021-09-09 12:10:49.847028 : Epoch  5, Batch   2109, Loss  0.900861, Average Loss  0.869695, Time  0.391811
2021-09-09 12:10:51.615788 : Epoch  5, Batch   2110, Loss  0.851552, Average Loss  0.869548, Time  0.336836
2021-09-09 12:10:53.451786 : Epoch  5, Batch   2111, Loss  0.886202, Average Loss  0.869559, Time  0.415013
2021-09-09 12:10:55.248783 : Epoch  5, Batch   2112, Loss  0.883606, Average Loss  0.869548, Time  0.348399
2021-09-09 12:10:57.085772 : Epoch  5, Batch   2113, Loss  0.862425, Average Loss  0.869538, Time  0.381241
2021-09-09 12:10:58.923796 : Epoch  5, Batch   2114, Loss  0.869874, Average Loss  0.869504, Time  0.361435
2021-09-09 12:11:00.734777 : Epoch  5, Batch   2115, Loss  0.875180, Average Loss  0.869454, Time  0.394789
2021-09-09 12:11:02.537112 : Epoch  5, Batch   2116, Loss  0.867526, Average Loss  0.869456, Time  0.357372
2021-09-09 12:11:04.495587 : Epoch  5, Batch   2117, Loss  0.851049, Average Loss  0.869389, Time  0.430326
2021-09-09 12:11:06.358482 : Epoch  5, Batch   2118, Loss  0.879517, Average Loss  0.869369, Time  0.389664
2021-09-09 12:11:08.221092 : Epoch  5, Batch   2119, Loss  0.843845, Average Loss  0.869303, Time  0.384176
2021-09-09 12:11:10.030827 : Epoch  5, Batch   2120, Loss  0.839286, Average Loss  0.869101, Time  0.357969
2021-09-09 12:11:11.816784 : Epoch  5, Batch   2121, Loss  0.875395, Average Loss  0.868949, Time  0.357061
2021-09-09 12:11:13.668401 : Epoch  5, Batch   2122, Loss  0.859300, Average Loss  0.868902, Time  0.372334
2021-09-09 12:11:15.565293 : Epoch  5, Batch   2123, Loss  0.898280, Average Loss  0.869105, Time  0.396110
2021-09-09 12:11:17.462988 : Epoch  5, Batch   2124, Loss  0.869836, Average Loss  0.869074, Time  0.434609
2021-09-09 12:11:19.320951 : Epoch  5, Batch   2125, Loss  0.862342, Average Loss  0.869023, Time  0.391782
2021-09-09 12:11:21.208473 : Epoch  5, Batch   2126, Loss  0.848476, Average Loss  0.868880, Time  0.417937
2021-09-09 12:11:22.995959 : Epoch  5, Batch   2127, Loss  0.861246, Average Loss  0.868854, Time  0.351328
2021-09-09 12:11:24.865380 : Epoch  5, Batch   2128, Loss  0.872381, Average Loss  0.868846, Time  0.392632
2021-09-09 12:11:26.796553 : Epoch  5, Batch   2129, Loss  0.868641, Average Loss  0.868859, Time  0.459038
2021-09-09 12:11:28.681789 : Epoch  5, Batch   2130, Loss  0.861374, Average Loss  0.868819, Time  0.397101
2021-09-09 12:11:30.527789 : Epoch  5, Batch   2131, Loss  0.878960, Average Loss  0.868861, Time  0.375904
2021-09-09 12:11:32.430811 : Epoch  5, Batch   2132, Loss  0.899229, Average Loss  0.869093, Time  0.425288
2021-09-09 12:11:34.281804 : Epoch  5, Batch   2133, Loss  0.855170, Average Loss  0.868822, Time  0.386369
2021-09-09 12:11:36.241298 : Epoch  5, Batch   2134, Loss  0.888119, Average Loss  0.869033, Time  0.452955
2021-09-09 12:11:38.121782 : Epoch  5, Batch   2135, Loss  0.839819, Average Loss  0.868807, Time  0.378949
2021-09-09 12:11:40.006782 : Epoch  5, Batch   2136, Loss  0.855137, Average Loss  0.868758, Time  0.419274
2021-09-09 12:11:41.821550 : Epoch  5, Batch   2137, Loss  0.869505, Average Loss  0.868719, Time  0.356183
2021-09-09 12:11:43.661775 : Epoch  5, Batch   2138, Loss  0.886632, Average Loss  0.868692, Time  0.348272
2021-09-09 12:11:45.484483 : Epoch  5, Batch   2139, Loss  0.902064, Average Loss  0.868764, Time  0.402904
2021-09-09 12:11:47.361774 : Epoch  5, Batch   2140, Loss  0.868387, Average Loss  0.868923, Time  0.358101
2021-09-09 12:11:49.256818 : Epoch  5, Batch   2141, Loss  0.896790, Average Loss  0.869097, Time  0.433747
2021-09-09 12:11:51.058831 : Epoch  5, Batch   2142, Loss  0.890141, Average Loss  0.869193, Time  0.378347
2021-09-09 12:11:52.849781 : Epoch  5, Batch   2143, Loss  0.867750, Average Loss  0.869143, Time  0.345144
2021-09-09 12:11:54.694826 : Epoch  5, Batch   2144, Loss  0.858952, Average Loss  0.869288, Time  0.349490
2021-09-09 12:11:56.579941 : Epoch  5, Batch   2145, Loss  0.862222, Average Loss  0.869401, Time  0.381925
2021-09-09 12:11:58.566848 : Epoch  5, Batch   2146, Loss  0.878676, Average Loss  0.869641, Time  0.483191
2021-09-09 12:12:00.417070 : Epoch  5, Batch   2147, Loss  0.842928, Average Loss  0.869400, Time  0.380120
2021-09-09 12:12:02.302957 : Epoch  5, Batch   2148, Loss  0.868195, Average Loss  0.869472, Time  0.416218
2021-09-09 12:12:04.133814 : Epoch  5, Batch   2149, Loss  0.854441, Average Loss  0.869367, Time  0.353868
2021-09-09 12:12:05.998918 : Epoch  5, Batch   2150, Loss  0.851118, Average Loss  0.869328, Time  0.383327
2021-09-09 12:12:07.933109 : Epoch  5, Batch   2151, Loss  0.881155, Average Loss  0.869505, Time  0.452394
2021-09-09 12:12:09.778206 : Epoch  5, Batch   2152, Loss  0.868490, Average Loss  0.869460, Time  0.377964
2021-09-09 12:12:11.662212 : Epoch  5, Batch   2153, Loss  0.898770, Average Loss  0.869557, Time  0.393618
2021-09-09 12:12:13.601794 : Epoch  5, Batch   2154, Loss  0.885445, Average Loss  0.869526, Time  0.445168
2021-09-09 12:12:15.470788 : Epoch  5, Batch   2155, Loss  0.849106, Average Loss  0.869328, Time  0.393904
2021-09-09 12:12:22.923955 : Epoch  5, Batch   2156, Loss  0.867966, Average Loss  0.869329, Time  0.484640
2021-09-09 12:17:17.575914 : CheckPoint: Validation Loss  0.00059336, Best Loss  0.00056427
2021-09-09 12:17:19.381781 : Epoch  5, Batch   2157, Loss  0.877840, Average Loss  0.869269, Time  0.352212
2021-09-09 12:17:21.218081 : Epoch  5, Batch   2158, Loss  0.869374, Average Loss  0.869441, Time  0.421677
2021-09-09 12:17:22.992979 : Epoch  5, Batch   2159, Loss  0.847213, Average Loss  0.869290, Time  0.343084
2021-09-09 12:17:24.879944 : Epoch  5, Batch   2160, Loss  0.870086, Average Loss  0.869309, Time  0.440662
2021-09-09 12:17:26.783979 : Epoch  5, Batch   2161, Loss  0.868041, Average Loss  0.869127, Time  0.348526
2021-09-09 12:17:28.625923 : Epoch  5, Batch   2162, Loss  0.856104, Average Loss  0.869063, Time  0.354218
2021-09-09 12:17:30.517756 : Epoch  5, Batch   2163, Loss  0.856664, Average Loss  0.868934, Time  0.417766
2021-09-09 12:17:32.524858 : Epoch  5, Batch   2164, Loss  0.859645, Average Loss  0.868910, Time  0.442720
2021-09-09 12:17:34.320781 : Epoch  5, Batch   2165, Loss  0.875163, Average Loss  0.868918, Time  0.372758
2021-09-09 12:17:36.139100 : Epoch  5, Batch   2166, Loss  0.885730, Average Loss  0.869135, Time  0.363262
2021-09-09 12:17:37.928808 : Epoch  5, Batch   2167, Loss  0.862403, Average Loss  0.869083, Time  0.352843
2021-09-09 12:17:39.784144 : Epoch  5, Batch   2168, Loss  0.856803, Average Loss  0.868981, Time  0.419007
2021-09-09 12:17:41.568094 : Epoch  5, Batch   2169, Loss  0.892821, Average Loss  0.869202, Time  0.351048
2021-09-09 12:17:43.428209 : Epoch  5, Batch   2170, Loss  0.847254, Average Loss  0.869000, Time  0.390076
2021-09-09 12:17:45.301962 : Epoch  5, Batch   2171, Loss  0.857506, Average Loss  0.868900, Time  0.394399
2021-09-09 12:17:47.145836 : Epoch  5, Batch   2172, Loss  0.863800, Average Loss  0.868855, Time  0.362873
2021-09-09 12:17:49.084792 : Epoch  5, Batch   2173, Loss  0.881595, Average Loss  0.868879, Time  0.467717
2021-09-09 12:17:50.960988 : Epoch  5, Batch   2174, Loss  0.884206, Average Loss  0.868996, Time  0.393369
2021-09-09 12:17:52.887272 : Epoch  5, Batch   2175, Loss  0.853745, Average Loss  0.868969, Time  0.409208
2021-09-09 12:17:54.734786 : Epoch  5, Batch   2176, Loss  0.879980, Average Loss  0.868941, Time  0.381887
2021-09-09 12:17:56.516980 : Epoch  5, Batch   2177, Loss  0.864132, Average Loss  0.869013, Time  0.358771
2021-09-09 12:17:58.318777 : Epoch  5, Batch   2178, Loss  0.841031, Average Loss  0.868776, Time  0.379866
2021-09-09 12:18:00.075453 : Epoch  5, Batch   2179, Loss  0.900217, Average Loss  0.868887, Time  0.334619
2021-09-09 12:18:01.905536 : Epoch  5, Batch   2180, Loss  0.856784, Average Loss  0.868808, Time  0.377007
2021-09-09 12:18:03.685834 : Epoch  5, Batch   2181, Loss  0.864480, Average Loss  0.868759, Time  0.355635
2021-09-09 12:18:05.457173 : Epoch  5, Batch   2182, Loss  0.855988, Average Loss  0.868666, Time  0.338449
2021-09-09 12:18:07.289912 : Epoch  5, Batch   2183, Loss  0.863066, Average Loss  0.868556, Time  0.402506
2021-09-09 12:18:09.045798 : Epoch  5, Batch   2184, Loss  0.872042, Average Loss  0.868649, Time  0.323029
2021-09-09 12:18:10.921920 : Epoch  5, Batch   2185, Loss  0.856454, Average Loss  0.868594, Time  0.427387
2021-09-09 12:18:12.793836 : Epoch  5, Batch   2186, Loss  0.895849, Average Loss  0.868715, Time  0.447905
2021-09-09 12:18:14.558784 : Epoch  5, Batch   2187, Loss  0.863382, Average Loss  0.868713, Time  0.344222
2021-09-09 12:18:16.342781 : Epoch  5, Batch   2188, Loss  0.838528, Average Loss  0.868541, Time  0.359495
2021-09-09 12:18:18.132257 : Epoch  5, Batch   2189, Loss  0.826484, Average Loss  0.868283, Time  0.353544
2021-09-09 12:18:19.959966 : Epoch  5, Batch   2190, Loss  0.894025, Average Loss  0.868388, Time  0.384280
2021-09-09 12:18:21.921008 : Epoch  5, Batch   2191, Loss  0.871060, Average Loss  0.868285, Time  0.391600
2021-09-09 12:18:23.798986 : Epoch  5, Batch   2192, Loss  0.848163, Average Loss  0.868156, Time  0.412884
2021-09-09 12:18:25.684254 : Epoch  5, Batch   2193, Loss  0.894726, Average Loss  0.868079, Time  0.403453
2021-09-09 12:18:27.516017 : Epoch  5, Batch   2194, Loss  0.852425, Average Loss  0.867999, Time  0.358395
2021-09-09 12:18:29.462579 : Epoch  5, Batch   2195, Loss  0.871980, Average Loss  0.867874, Time  0.438206
2021-09-09 12:18:31.327847 : Epoch  5, Batch   2196, Loss  0.874947, Average Loss  0.867948, Time  0.398833
2021-09-09 12:18:33.197811 : Epoch  5, Batch   2197, Loss  0.887141, Average Loss  0.868085, Time  0.401536
2021-09-09 12:18:35.004785 : Epoch  5, Batch   2198, Loss  0.903220, Average Loss  0.868225, Time  0.356919
2021-09-09 12:18:36.830789 : Epoch  5, Batch   2199, Loss  0.892743, Average Loss  0.868291, Time  0.354428
2021-09-09 12:18:38.669342 : Epoch  5, Batch   2200, Loss  0.890519, Average Loss  0.868399, Time  0.358951
2021-09-09 12:18:40.472703 : Epoch  5, Batch   2201, Loss  0.864803, Average Loss  0.868419, Time  0.355520
2021-09-09 12:18:42.333688 : Epoch  5, Batch   2202, Loss  0.874553, Average Loss  0.868338, Time  0.399839
2021-09-09 12:18:44.232924 : Epoch  5, Batch   2203, Loss  0.857709, Average Loss  0.868339, Time  0.416759
2021-09-09 12:18:46.013967 : Epoch  5, Batch   2204, Loss  0.886221, Average Loss  0.868477, Time  0.352450
2021-09-09 12:18:47.830968 : Epoch  5, Batch   2205, Loss  0.861656, Average Loss  0.868551, Time  0.371562
2021-09-09 12:18:49.833028 : Epoch  5, Batch   2206, Loss  0.874442, Average Loss  0.868716, Time  0.441998
2021-09-09 12:18:51.609006 : Epoch  5, Batch   2207, Loss  0.867485, Average Loss  0.868727, Time  0.355504
2021-09-09 12:18:53.558097 : Epoch  5, Batch   2208, Loss  0.858327, Average Loss  0.868654, Time  0.424195
2021-09-09 12:18:55.346508 : Epoch  5, Batch   2209, Loss  0.897642, Average Loss  0.868891, Time  0.371774
2021-09-09 12:18:57.206860 : Epoch  5, Batch   2210, Loss  0.883318, Average Loss  0.868981, Time  0.376337
2021-09-09 12:18:59.035440 : Epoch  5, Batch   2211, Loss  0.870070, Average Loss  0.869126, Time  0.397480
2021-09-09 12:19:00.840827 : Epoch  5, Batch   2212, Loss  0.888500, Average Loss  0.869061, Time  0.353209
2021-09-09 12:19:02.674181 : Epoch  5, Batch   2213, Loss  0.880305, Average Loss  0.869131, Time  0.397110
2021-09-09 12:19:04.462888 : Epoch  5, Batch   2214, Loss  0.860843, Average Loss  0.869025, Time  0.348049
2021-09-09 12:19:06.252159 : Epoch  5, Batch   2215, Loss  0.864472, Average Loss  0.869025, Time  0.357683
2021-09-09 12:19:08.101965 : Epoch  5, Batch   2216, Loss  0.851347, Average Loss  0.868813, Time  0.410564
2021-09-09 12:19:09.904246 : Epoch  5, Batch   2217, Loss  0.874733, Average Loss  0.868962, Time  0.342434
2021-09-09 12:19:11.764829 : Epoch  5, Batch   2218, Loss  0.864591, Average Loss  0.868938, Time  0.437998
2021-09-09 12:19:13.538513 : Epoch  5, Batch   2219, Loss  0.852539, Average Loss  0.869076, Time  0.339485
2021-09-09 12:19:15.405363 : Epoch  5, Batch   2220, Loss  0.876867, Average Loss  0.869160, Time  0.400351
2021-09-09 12:19:17.259325 : Epoch  5, Batch   2221, Loss  0.858093, Average Loss  0.869121, Time  0.391387
2021-09-09 12:19:19.125083 : Epoch  5, Batch   2222, Loss  0.900291, Average Loss  0.869286, Time  0.386334
2021-09-09 12:19:21.073268 : Epoch  5, Batch   2223, Loss  0.862249, Average Loss  0.869331, Time  0.480286
2021-09-09 12:19:22.956536 : Epoch  5, Batch   2224, Loss  0.865113, Average Loss  0.869260, Time  0.394238
2021-09-09 12:19:24.832470 : Epoch  5, Batch   2225, Loss  0.851471, Average Loss  0.869152, Time  0.385501
2021-09-09 12:19:26.791901 : Epoch  5, Batch   2226, Loss  0.874835, Average Loss  0.869242, Time  0.481216
2021-09-09 12:19:28.655338 : Epoch  5, Batch   2227, Loss  0.892068, Average Loss  0.869354, Time  0.389132
2021-09-09 12:19:30.513209 : Epoch  5, Batch   2228, Loss  0.837417, Average Loss  0.869152, Time  0.399136
2021-09-09 12:19:32.397174 : Epoch  5, Batch   2229, Loss  0.855759, Average Loss  0.869001, Time  0.395938
2021-09-09 12:19:34.283786 : Epoch  5, Batch   2230, Loss  0.857366, Average Loss  0.868929, Time  0.396016
2021-09-09 12:19:36.196921 : Epoch  5, Batch   2231, Loss  0.889723, Average Loss  0.868975, Time  0.446936
2021-09-09 12:19:38.058792 : Epoch  5, Batch   2232, Loss  0.871482, Average Loss  0.868788, Time  0.398190
2021-09-09 12:19:39.941019 : Epoch  5, Batch   2233, Loss  0.907623, Average Loss  0.868954, Time  0.395948
2021-09-09 12:19:41.787916 : Epoch  5, Batch   2234, Loss  0.841181, Average Loss  0.868838, Time  0.376368
2021-09-09 12:19:43.680698 : Epoch  5, Batch   2235, Loss  0.883981, Average Loss  0.868916, Time  0.412890
2021-09-09 12:19:45.580605 : Epoch  5, Batch   2236, Loss  0.865549, Average Loss  0.868820, Time  0.350674
2021-09-09 12:19:47.417817 : Epoch  5, Batch   2237, Loss  0.876963, Average Loss  0.868999, Time  0.354592
2021-09-09 12:19:49.262981 : Epoch  5, Batch   2238, Loss  0.871436, Average Loss  0.869020, Time  0.352539
2021-09-09 12:19:51.301791 : Epoch  5, Batch   2239, Loss  0.864547, Average Loss  0.869027, Time  0.456980
2021-09-09 12:19:53.125773 : Epoch  5, Batch   2240, Loss  0.900435, Average Loss  0.869280, Time  0.357073
2021-09-09 12:19:54.993943 : Epoch  5, Batch   2241, Loss  0.870780, Average Loss  0.869331, Time  0.438273
2021-09-09 12:19:56.786633 : Epoch  5, Batch   2242, Loss  0.890937, Average Loss  0.869474, Time  0.352119
2021-09-09 12:19:58.585614 : Epoch  5, Batch   2243, Loss  0.878108, Average Loss  0.869454, Time  0.369061
2021-09-09 12:20:00.471467 : Epoch  5, Batch   2244, Loss  0.842149, Average Loss  0.869439, Time  0.441216
2021-09-09 12:20:02.313775 : Epoch  5, Batch   2245, Loss  0.900056, Average Loss  0.869536, Time  0.364953
2021-09-09 12:20:04.139546 : Epoch  5, Batch   2246, Loss  0.880325, Average Loss  0.869610, Time  0.385940
2021-09-09 12:20:05.915341 : Epoch  5, Batch   2247, Loss  0.852850, Average Loss  0.869503, Time  0.342059
2021-09-09 12:20:07.792783 : Epoch  5, Batch   2248, Loss  0.859735, Average Loss  0.869701, Time  0.404714
2021-09-09 12:20:09.668783 : Epoch  5, Batch   2249, Loss  0.870695, Average Loss  0.869807, Time  0.396236
2021-09-09 12:20:11.533834 : Epoch  5, Batch   2250, Loss  0.851961, Average Loss  0.869767, Time  0.402654
2021-09-09 12:20:13.411438 : Epoch  5, Batch   2251, Loss  0.902636, Average Loss  0.869906, Time  0.398350
2021-09-09 12:20:15.284023 : Epoch  5, Batch   2252, Loss  0.858529, Average Loss  0.869833, Time  0.393170
2021-09-09 12:20:17.208966 : Epoch  5, Batch   2253, Loss  0.864498, Average Loss  0.869882, Time  0.444024
2021-09-09 12:20:19.032838 : Epoch  5, Batch   2254, Loss  0.872842, Average Loss  0.869907, Time  0.355541
2021-09-09 12:20:20.906146 : Epoch  5, Batch   2255, Loss  0.877373, Average Loss  0.870043, Time  0.373019
2021-09-09 12:20:22.856797 : Epoch  5, Batch   2256, Loss  0.854030, Average Loss  0.869868, Time  0.437983
2021-09-09 12:25:17.199720 : CheckPoint: Validation Loss  0.00060081, Best Loss  0.00056427
2021-09-09 12:25:19.005783 : Epoch  5, Batch   2257, Loss  0.867387, Average Loss  0.869791, Time  0.352931
2021-09-09 12:25:20.896827 : Epoch  5, Batch   2258, Loss  0.845615, Average Loss  0.869823, Time  0.435578
2021-09-09 12:25:22.690778 : Epoch  5, Batch   2259, Loss  0.853648, Average Loss  0.869720, Time  0.355404
2021-09-09 12:25:24.444809 : Epoch  5, Batch   2260, Loss  0.874214, Average Loss  0.869721, Time  0.322276
2021-09-09 12:25:26.247153 : Epoch  5, Batch   2261, Loss  0.893783, Average Loss  0.869952, Time  0.378549
2021-09-09 12:25:28.025154 : Epoch  5, Batch   2262, Loss  0.897264, Average Loss  0.870125, Time  0.349458
2021-09-09 12:25:29.884902 : Epoch  5, Batch   2263, Loss  0.882617, Average Loss  0.870320, Time  0.436974
2021-09-09 12:25:31.700695 : Epoch  5, Batch   2264, Loss  0.856145, Average Loss  0.870172, Time  0.343041
2021-09-09 12:25:33.481193 : Epoch  5, Batch   2265, Loss  0.880009, Average Loss  0.870365, Time  0.361864
2021-09-09 12:25:35.356433 : Epoch  5, Batch   2266, Loss  0.858006, Average Loss  0.870269, Time  0.446671
2021-09-09 12:25:37.153449 : Epoch  5, Batch   2267, Loss  0.859645, Average Loss  0.870110, Time  0.359386
2021-09-09 12:25:38.957782 : Epoch  5, Batch   2268, Loss  0.859601, Average Loss  0.870209, Time  0.350929
2021-09-09 12:25:40.800791 : Epoch  5, Batch   2269, Loss  0.894549, Average Loss  0.870521, Time  0.415752
2021-09-09 12:25:42.593979 : Epoch  5, Batch   2270, Loss  0.868009, Average Loss  0.870505, Time  0.358175
2021-09-09 12:25:44.422976 : Epoch  5, Batch   2271, Loss  0.859682, Average Loss  0.870417, Time  0.359638
2021-09-09 12:25:46.285814 : Epoch  5, Batch   2272, Loss  0.825350, Average Loss  0.870131, Time  0.411788
2021-09-09 12:25:48.059216 : Epoch  5, Batch   2273, Loss  0.874059, Average Loss  0.870125, Time  0.341707
2021-09-09 12:25:49.916111 : Epoch  5, Batch   2274, Loss  0.880901, Average Loss  0.870252, Time  0.389860
2021-09-09 12:25:51.726506 : Epoch  5, Batch   2275, Loss  0.866512, Average Loss  0.870159, Time  0.354060
2021-09-09 12:25:53.555947 : Epoch  5, Batch   2276, Loss  0.866141, Average Loss  0.870194, Time  0.389395
2021-09-09 12:25:55.384852 : Epoch  5, Batch   2277, Loss  0.844359, Average Loss  0.870072, Time  0.375351
2021-09-09 12:25:57.209547 : Epoch  5, Batch   2278, Loss  0.877688, Average Loss  0.870112, Time  0.359432
2021-09-09 12:25:58.975090 : Epoch  5, Batch   2279, Loss  0.871035, Average Loss  0.870119, Time  0.334057
2021-09-09 12:26:00.793375 : Epoch  5, Batch   2280, Loss  0.849503, Average Loss  0.870128, Time  0.357809
2021-09-09 12:26:02.561727 : Epoch  5, Batch   2281, Loss  0.876759, Average Loss  0.870176, Time  0.344818
2021-09-09 12:26:04.519646 : Epoch  5, Batch   2282, Loss  0.899563, Average Loss  0.870069, Time  0.460190
2021-09-09 12:26:06.296529 : Epoch  5, Batch   2283, Loss  0.843774, Average Loss  0.869953, Time  0.340090
2021-09-09 12:26:08.079598 : Epoch  5, Batch   2284, Loss  0.839004, Average Loss  0.869688, Time  0.360350
2021-09-09 12:26:09.868905 : Epoch  5, Batch   2285, Loss  0.847414, Average Loss  0.869602, Time  0.352276
2021-09-09 12:26:11.684659 : Epoch  5, Batch   2286, Loss  0.876665, Average Loss  0.869754, Time  0.388139
2021-09-09 12:26:13.463902 : Epoch  5, Batch   2287, Loss  0.868116, Average Loss  0.869694, Time  0.353227
2021-09-09 12:26:15.265331 : Epoch  5, Batch   2288, Loss  0.864519, Average Loss  0.869519, Time  0.366904
2021-09-09 12:26:17.374960 : Epoch  5, Batch   2289, Loss  0.873342, Average Loss  0.869653, Time  0.481216
2021-09-09 12:26:19.263668 : Epoch  5, Batch   2290, Loss  0.842179, Average Loss  0.869492, Time  0.405433
2021-09-09 12:26:21.157172 : Epoch  5, Batch   2291, Loss  0.865469, Average Loss  0.869297, Time  0.383108
2021-09-09 12:26:23.014563 : Epoch  5, Batch   2292, Loss  0.859405, Average Loss  0.869198, Time  0.369602
2021-09-09 12:26:24.789191 : Epoch  5, Batch   2293, Loss  0.848813, Average Loss  0.869044, Time  0.331711
2021-09-09 12:26:26.645795 : Epoch  5, Batch   2294, Loss  0.817273, Average Loss  0.868798, Time  0.390132
2021-09-09 12:26:28.463275 : Epoch  5, Batch   2295, Loss  0.884664, Average Loss  0.868819, Time  0.370561
2021-09-09 12:26:30.362109 : Epoch  5, Batch   2296, Loss  0.890938, Average Loss  0.868847, Time  0.421736
2021-09-09 12:26:32.137834 : Epoch  5, Batch   2297, Loss  0.851016, Average Loss  0.868606, Time  0.338772
2021-09-09 12:26:34.019077 : Epoch  5, Batch   2298, Loss  0.871753, Average Loss  0.868627, Time  0.394868
2021-09-09 12:26:35.964841 : Epoch  5, Batch   2299, Loss  0.872177, Average Loss  0.868582, Time  0.435248
2021-09-09 12:26:37.829888 : Epoch  5, Batch   2300, Loss  0.893055, Average Loss  0.868776, Time  0.380400
2021-09-09 12:26:39.717002 : Epoch  5, Batch   2301, Loss  0.871394, Average Loss  0.868843, Time  0.388000
2021-09-09 12:26:41.628410 : Epoch  5, Batch   2302, Loss  0.841938, Average Loss  0.868648, Time  0.433904
2021-09-09 12:26:43.414790 : Epoch  5, Batch   2303, Loss  0.873674, Average Loss  0.868806, Time  0.358285
2021-09-09 12:26:45.256032 : Epoch  5, Batch   2304, Loss  0.865484, Average Loss  0.868761, Time  0.379579
2021-09-09 12:26:47.129120 : Epoch  5, Batch   2305, Loss  0.879914, Average Loss  0.868839, Time  0.392695
2021-09-09 12:26:49.002798 : Epoch  5, Batch   2306, Loss  0.882646, Average Loss  0.868833, Time  0.416706
2021-09-09 12:26:50.946090 : Epoch  5, Batch   2307, Loss  0.851590, Average Loss  0.868721, Time  0.450038
2021-09-09 12:26:52.816900 : Epoch  5, Batch   2308, Loss  0.878639, Average Loss  0.868906, Time  0.384766
2021-09-09 12:26:54.697572 : Epoch  5, Batch   2309, Loss  0.866596, Average Loss  0.868734, Time  0.400518
2021-09-09 12:26:56.599805 : Epoch  5, Batch   2310, Loss  0.873072, Average Loss  0.868842, Time  0.424661
2021-09-09 12:26:58.507965 : Epoch  5, Batch   2311, Loss  0.851722, Average Loss  0.868670, Time  0.397902
2021-09-09 12:27:00.456250 : Epoch  5, Batch   2312, Loss  0.852992, Average Loss  0.868516, Time  0.457775
2021-09-09 12:27:02.319787 : Epoch  5, Batch   2313, Loss  0.863463, Average Loss  0.868522, Time  0.389527
2021-09-09 12:27:04.151824 : Epoch  5, Batch   2314, Loss  0.855781, Average Loss  0.868451, Time  0.357804
2021-09-09 12:27:05.920977 : Epoch  5, Batch   2315, Loss  0.884393, Average Loss  0.868497, Time  0.347457
2021-09-09 12:27:07.734792 : Epoch  5, Batch   2316, Loss  0.859690, Average Loss  0.868458, Time  0.356979
2021-09-09 12:27:09.661845 : Epoch  5, Batch   2317, Loss  0.877324, Average Loss  0.868589, Time  0.402446
2021-09-09 12:27:11.553222 : Epoch  5, Batch   2318, Loss  0.888666, Average Loss  0.868635, Time  0.385015
2021-09-09 12:27:13.489825 : Epoch  5, Batch   2319, Loss  0.898068, Average Loss  0.868906, Time  0.455565
2021-09-09 12:27:15.379830 : Epoch  5, Batch   2320, Loss  0.883527, Average Loss  0.869128, Time  0.404358
2021-09-09 12:27:17.379017 : Epoch  5, Batch   2321, Loss  0.874198, Average Loss  0.869122, Time  0.437155
2021-09-09 12:27:19.230752 : Epoch  5, Batch   2322, Loss  0.873821, Average Loss  0.869194, Time  0.333841
2021-09-09 12:27:21.199832 : Epoch  5, Batch   2323, Loss  0.878433, Average Loss  0.869095, Time  0.418138
2021-09-09 12:27:23.168852 : Epoch  5, Batch   2324, Loss  0.875923, Average Loss  0.869125, Time  0.477752
2021-09-09 12:27:25.026519 : Epoch  5, Batch   2325, Loss  0.899108, Average Loss  0.869309, Time  0.377193
2021-09-09 12:27:26.913784 : Epoch  5, Batch   2326, Loss  0.892132, Average Loss  0.869527, Time  0.416662
2021-09-09 12:27:28.732860 : Epoch  5, Batch   2327, Loss  0.933859, Average Loss  0.869891, Time  0.337458
2021-09-09 12:27:30.509793 : Epoch  5, Batch   2328, Loss  0.873901, Average Loss  0.869898, Time  0.346710
2021-09-09 12:27:32.427214 : Epoch  5, Batch   2329, Loss  0.869131, Average Loss  0.869901, Time  0.442825
2021-09-09 12:27:34.272093 : Epoch  5, Batch   2330, Loss  0.858968, Average Loss  0.869889, Time  0.367250
2021-09-09 12:27:36.192780 : Epoch  5, Batch   2331, Loss  0.876071, Average Loss  0.869874, Time  0.446241
2021-09-09 12:27:38.024280 : Epoch  5, Batch   2332, Loss  0.897657, Average Loss  0.869866, Time  0.341254
2021-09-09 12:27:39.813198 : Epoch  5, Batch   2333, Loss  0.865824, Average Loss  0.869919, Time  0.352309
2021-09-09 12:27:41.596318 : Epoch  5, Batch   2334, Loss  0.878435, Average Loss  0.869871, Time  0.340156
2021-09-09 12:27:43.416940 : Epoch  5, Batch   2335, Loss  0.875046, Average Loss  0.870047, Time  0.351867
2021-09-09 12:27:45.313777 : Epoch  5, Batch   2336, Loss  0.877168, Average Loss  0.870157, Time  0.370711
2021-09-09 12:27:47.131597 : Epoch  5, Batch   2337, Loss  0.893493, Average Loss  0.870277, Time  0.355686
2021-09-09 12:27:49.028732 : Epoch  5, Batch   2338, Loss  0.869141, Average Loss  0.870190, Time  0.442341
2021-09-09 12:27:50.825358 : Epoch  5, Batch   2339, Loss  0.837607, Average Loss  0.869868, Time  0.359114
2021-09-09 12:27:52.659357 : Epoch  5, Batch   2340, Loss  0.886726, Average Loss  0.869959, Time  0.393794
2021-09-09 12:27:54.503833 : Epoch  5, Batch   2341, Loss  0.877947, Average Loss  0.869865, Time  0.412199
2021-09-09 12:27:56.297779 : Epoch  5, Batch   2342, Loss  0.878594, Average Loss  0.869807, Time  0.342078
2021-09-09 12:27:58.130120 : Epoch  5, Batch   2343, Loss  0.857970, Average Loss  0.869758, Time  0.385287
2021-09-09 12:27:59.901951 : Epoch  5, Batch   2344, Loss  0.899310, Average Loss  0.869960, Time  0.350180
2021-09-09 12:28:01.734067 : Epoch  5, Batch   2345, Loss  0.869576, Average Loss  0.869997, Time  0.351064
2021-09-09 12:28:03.676014 : Epoch  5, Batch   2346, Loss  0.890196, Average Loss  0.870055, Time  0.461959
2021-09-09 12:28:05.599673 : Epoch  5, Batch   2347, Loss  0.867074, Average Loss  0.870175, Time  0.442988
2021-09-09 12:28:07.397786 : Epoch  5, Batch   2348, Loss  0.842499, Average Loss  0.870047, Time  0.364949
2021-09-09 12:28:09.153610 : Epoch  5, Batch   2349, Loss  0.894017, Average Loss  0.870245, Time  0.334209
2021-09-09 12:28:11.039853 : Epoch  5, Batch   2350, Loss  0.878893, Average Loss  0.870384, Time  0.403454
2021-09-09 12:28:12.958370 : Epoch  5, Batch   2351, Loss  0.870071, Average Loss  0.870328, Time  0.435659
2021-09-09 12:28:14.852945 : Epoch  5, Batch   2352, Loss  0.874941, Average Loss  0.870360, Time  0.410043
2021-09-09 12:28:16.781497 : Epoch  5, Batch   2353, Loss  0.853565, Average Loss  0.870134, Time  0.447846
2021-09-09 12:28:18.685749 : Epoch  5, Batch   2354, Loss  0.856462, Average Loss  0.869989, Time  0.386953
2021-09-09 12:28:20.554991 : Epoch  5, Batch   2355, Loss  0.864868, Average Loss  0.870068, Time  0.384637
2021-09-09 12:28:22.517798 : Epoch  5, Batch   2356, Loss  0.870308, Average Loss  0.870080, Time  0.467022
2021-09-09 12:33:18.362726 : CheckPoint: Validation Loss  0.00060231, Best Loss  0.00056427
2021-09-09 12:33:20.193922 : Epoch  5, Batch   2357, Loss  0.853831, Average Loss  0.869960, Time  0.395735
2021-09-09 12:33:22.036787 : Epoch  5, Batch   2358, Loss  0.869135, Average Loss  0.869959, Time  0.357837
2021-09-09 12:33:23.917789 : Epoch  5, Batch   2359, Loss  0.869389, Average Loss  0.870070, Time  0.400785
2021-09-09 12:33:25.714826 : Epoch  5, Batch   2360, Loss  0.866288, Average Loss  0.870051, Time  0.339568
2021-09-09 12:33:27.624443 : Epoch  5, Batch   2361, Loss  0.844502, Average Loss  0.869933, Time  0.444352
2021-09-09 12:33:29.509784 : Epoch  5, Batch   2362, Loss  0.865703, Average Loss  0.869981, Time  0.395085
2021-09-09 12:33:31.365789 : Epoch  5, Batch   2363, Loss  0.861809, Average Loss  0.870007, Time  0.391298
2021-09-09 12:33:33.234078 : Epoch  5, Batch   2364, Loss  0.888803, Average Loss  0.870152, Time  0.395295
2021-09-09 12:33:35.125782 : Epoch  5, Batch   2365, Loss  0.870687, Average Loss  0.870130, Time  0.391603
2021-09-09 12:33:37.057227 : Epoch  5, Batch   2366, Loss  0.866957, Average Loss  0.870036, Time  0.450576
2021-09-09 12:33:38.942788 : Epoch  5, Batch   2367, Loss  0.854909, Average Loss  0.869999, Time  0.397762
2021-09-09 12:33:40.812735 : Epoch  5, Batch   2368, Loss  0.863451, Average Loss  0.870032, Time  0.407615
2021-09-09 12:33:42.693605 : Epoch  5, Batch   2369, Loss  0.837839, Average Loss  0.869757, Time  0.429734
2021-09-09 12:33:44.570780 : Epoch  5, Batch   2370, Loss  0.905107, Average Loss  0.870046, Time  0.393771
2021-09-09 12:33:46.464120 : Epoch  5, Batch   2371, Loss  0.840037, Average Loss  0.869959, Time  0.414847
2021-09-09 12:33:48.297116 : Epoch  5, Batch   2372, Loss  0.846951, Average Loss  0.869875, Time  0.393372
2021-09-09 12:33:50.200830 : Epoch  5, Batch   2373, Loss  0.878391, Average Loss  0.869859, Time  0.398776
2021-09-09 12:33:52.051174 : Epoch  5, Batch   2374, Loss  0.873626, Average Loss  0.869806, Time  0.367895
2021-09-09 12:33:53.831778 : Epoch  5, Batch   2375, Loss  0.860216, Average Loss  0.869838, Time  0.345266
2021-09-09 12:33:55.669969 : Epoch  5, Batch   2376, Loss  0.861309, Average Loss  0.869745, Time  0.419234
2021-09-09 12:33:57.536228 : Epoch  5, Batch   2377, Loss  0.857810, Average Loss  0.869713, Time  0.374054
2021-09-09 12:33:59.416812 : Epoch  5, Batch   2378, Loss  0.875642, Average Loss  0.869886, Time  0.421208
2021-09-09 12:34:01.213940 : Epoch  5, Batch   2379, Loss  0.832270, Average Loss  0.869547, Time  0.358655
2021-09-09 12:34:02.980775 : Epoch  5, Batch   2380, Loss  0.857398, Average Loss  0.869550, Time  0.340775
2021-09-09 12:34:04.929706 : Epoch  5, Batch   2381, Loss  0.866225, Average Loss  0.869558, Time  0.423813
2021-09-09 12:34:06.677955 : Epoch  5, Batch   2382, Loss  0.837621, Average Loss  0.869466, Time  0.343309
2021-09-09 12:34:08.694785 : Epoch  5, Batch   2383, Loss  0.874760, Average Loss  0.869525, Time  0.415500
2021-09-09 12:34:10.512776 : Epoch  5, Batch   2384, Loss  0.915722, Average Loss  0.869743, Time  0.361788
2021-09-09 12:34:12.394835 : Epoch  5, Batch   2385, Loss  0.885841, Average Loss  0.869890, Time  0.368729
2021-09-09 12:34:14.298258 : Epoch  5, Batch   2386, Loss  0.865762, Average Loss  0.869740, Time  0.412287
2021-09-09 12:34:16.148120 : Epoch  5, Batch   2387, Loss  0.885831, Average Loss  0.869852, Time  0.393980
2021-09-09 12:34:18.016847 : Epoch  5, Batch   2388, Loss  0.885478, Average Loss  0.870087, Time  0.389559
2021-09-09 12:34:19.892516 : Epoch  5, Batch   2389, Loss  0.881840, Average Loss  0.870364, Time  0.363844
2021-09-09 12:34:21.736994 : Epoch  5, Batch   2390, Loss  0.850120, Average Loss  0.870144, Time  0.420259
2021-09-09 12:34:23.519488 : Epoch  5, Batch   2391, Loss  0.880328, Average Loss  0.870190, Time  0.353683
2021-09-09 12:34:25.294972 : Epoch  5, Batch   2392, Loss  0.852472, Average Loss  0.870212, Time  0.353802
2021-09-09 12:34:27.103357 : Epoch  5, Batch   2393, Loss  0.866789, Average Loss  0.870072, Time  0.349295
2021-09-09 12:34:28.903489 : Epoch  5, Batch   2394, Loss  0.865700, Average Loss  0.870139, Time  0.333359
2021-09-09 12:34:30.720528 : Epoch  5, Batch   2395, Loss  0.912388, Average Loss  0.870341, Time  0.375596
2021-09-09 12:34:32.499425 : Epoch  5, Batch   2396, Loss  0.902236, Average Loss  0.870477, Time  0.350779
2021-09-09 12:34:34.340777 : Epoch  5, Batch   2397, Loss  0.858344, Average Loss  0.870333, Time  0.417626
2021-09-09 12:34:36.133359 : Epoch  5, Batch   2398, Loss  0.862251, Average Loss  0.870128, Time  0.368771
2021-09-09 12:34:38.003033 : Epoch  5, Batch   2399, Loss  0.887186, Average Loss  0.870101, Time  0.450762
2021-09-09 12:34:39.893858 : Epoch  5, Batch   2400, Loss  0.896686, Average Loss  0.870131, Time  0.431608
2021-09-09 12:34:41.760785 : Epoch  5, Batch   2401, Loss  0.869386, Average Loss  0.870154, Time  0.390972
2021-09-09 12:34:43.632798 : Epoch  5, Batch   2402, Loss  0.850012, Average Loss  0.870032, Time  0.412089
2021-09-09 12:34:45.407205 : Epoch  5, Batch   2403, Loss  0.856211, Average Loss  0.870024, Time  0.363964
2021-09-09 12:34:47.244649 : Epoch  5, Batch   2404, Loss  0.854386, Average Loss  0.869865, Time  0.411261
2021-09-09 12:34:49.204001 : Epoch  5, Batch   2405, Loss  0.885736, Average Loss  0.869985, Time  0.404709
2021-09-09 12:34:51.114787 : Epoch  5, Batch   2406, Loss  0.860292, Average Loss  0.869915, Time  0.428988
2021-09-09 12:34:52.983191 : Epoch  5, Batch   2407, Loss  0.889560, Average Loss  0.870025, Time  0.397876
2021-09-09 12:34:54.832788 : Epoch  5, Batch   2408, Loss  0.867032, Average Loss  0.870068, Time  0.383711
2021-09-09 12:34:56.668008 : Epoch  5, Batch   2409, Loss  0.870237, Average Loss  0.869931, Time  0.372484
2021-09-09 12:34:58.544916 : Epoch  5, Batch   2410, Loss  0.849917, Average Loss  0.869764, Time  0.387057
2021-09-09 12:35:00.433702 : Epoch  5, Batch   2411, Loss  0.844838, Average Loss  0.869638, Time  0.428143
2021-09-09 12:35:02.226144 : Epoch  5, Batch   2412, Loss  0.886461, Average Loss  0.869628, Time  0.354865
2021-09-09 12:35:04.202799 : Epoch  5, Batch   2413, Loss  0.878369, Average Loss  0.869618, Time  0.421797
2021-09-09 12:35:06.095798 : Epoch  5, Batch   2414, Loss  0.851140, Average Loss  0.869570, Time  0.420146
2021-09-09 12:35:07.945096 : Epoch  5, Batch   2415, Loss  0.852004, Average Loss  0.869508, Time  0.364427
2021-09-09 12:35:09.852944 : Epoch  5, Batch   2416, Loss  0.854673, Average Loss  0.869524, Time  0.439053
2021-09-09 12:35:11.778787 : Epoch  5, Batch   2417, Loss  0.860073, Average Loss  0.869451, Time  0.434647
2021-09-09 12:35:13.572966 : Epoch  5, Batch   2418, Loss  0.872104, Average Loss  0.869488, Time  0.350976
2021-09-09 12:35:15.432899 : Epoch  5, Batch   2419, Loss  0.877650, Average Loss  0.869614, Time  0.420763
2021-09-09 12:35:17.271426 : Epoch  5, Batch   2420, Loss  0.871277, Average Loss  0.869586, Time  0.362110
2021-09-09 12:35:19.259787 : Epoch  5, Batch   2421, Loss  0.864274, Average Loss  0.869617, Time  0.438569
2021-09-09 12:35:21.124015 : Epoch  5, Batch   2422, Loss  0.849530, Average Loss  0.869363, Time  0.366963
2021-09-09 12:35:22.966784 : Epoch  5, Batch   2423, Loss  0.853401, Average Loss  0.869319, Time  0.386376
2021-09-09 12:35:24.808794 : Epoch  5, Batch   2424, Loss  0.862596, Average Loss  0.869306, Time  0.379845
2021-09-09 12:35:26.684783 : Epoch  5, Batch   2425, Loss  0.852579, Average Loss  0.869312, Time  0.393159
2021-09-09 12:35:28.572094 : Epoch  5, Batch   2426, Loss  0.843427, Average Loss  0.869155, Time  0.385602
2021-09-09 12:35:30.481794 : Epoch  5, Batch   2427, Loss  0.865719, Average Loss  0.869023, Time  0.444944
2021-09-09 12:35:32.307798 : Epoch  5, Batch   2428, Loss  0.841475, Average Loss  0.869043, Time  0.352551
2021-09-09 12:35:34.182488 : Epoch  5, Batch   2429, Loss  0.880596, Average Loss  0.869168, Time  0.392939
2021-09-09 12:35:36.030842 : Epoch  5, Batch   2430, Loss  0.851070, Average Loss  0.869136, Time  0.371127
2021-09-09 12:35:37.873261 : Epoch  5, Batch   2431, Loss  0.857181, Average Loss  0.868973, Time  0.367176
2021-09-09 12:35:39.800795 : Epoch  5, Batch   2432, Loss  0.859832, Average Loss  0.868915, Time  0.442618
2021-09-09 12:35:41.626202 : Epoch  5, Batch   2433, Loss  0.865444, Average Loss  0.868704, Time  0.354861
2021-09-09 12:35:43.445173 : Epoch  5, Batch   2434, Loss  0.868719, Average Loss  0.868842, Time  0.382497
2021-09-09 12:35:45.297004 : Epoch  5, Batch   2435, Loss  0.886719, Average Loss  0.868856, Time  0.367046
2021-09-09 12:35:47.159787 : Epoch  5, Batch   2436, Loss  0.829025, Average Loss  0.868673, Time  0.357332
2021-09-09 12:35:48.988777 : Epoch  5, Batch   2437, Loss  0.877672, Average Loss  0.868677, Time  0.362024
2021-09-09 12:35:50.768780 : Epoch  5, Batch   2438, Loss  0.859879, Average Loss  0.868619, Time  0.352792
2021-09-09 12:35:52.589820 : Epoch  5, Batch   2439, Loss  0.847568, Average Loss  0.868534, Time  0.385450
2021-09-09 12:35:54.360955 : Epoch  5, Batch   2440, Loss  0.868677, Average Loss  0.868375, Time  0.344536
2021-09-09 12:35:56.260780 : Epoch  5, Batch   2441, Loss  0.866950, Average Loss  0.868356, Time  0.427005
2021-09-09 12:35:58.039984 : Epoch  5, Batch   2442, Loss  0.863290, Average Loss  0.868218, Time  0.354070
2021-09-09 12:35:59.819008 : Epoch  5, Batch   2443, Loss  0.864901, Average Loss  0.868152, Time  0.351154
2021-09-09 12:36:01.653460 : Epoch  5, Batch   2444, Loss  0.885250, Average Loss  0.868367, Time  0.404851
2021-09-09 12:36:03.479949 : Epoch  5, Batch   2445, Loss  0.886772, Average Loss  0.868301, Time  0.357889
2021-09-09 12:36:05.371800 : Epoch  5, Batch   2446, Loss  0.859489, Average Loss  0.868197, Time  0.423464
2021-09-09 12:36:07.306852 : Epoch  5, Batch   2447, Loss  0.860304, Average Loss  0.868234, Time  0.460262
2021-09-09 12:36:09.169786 : Epoch  5, Batch   2448, Loss  0.857194, Average Loss  0.868221, Time  0.380402
2021-09-09 12:36:11.078013 : Epoch  5, Batch   2449, Loss  0.849846, Average Loss  0.868117, Time  0.447624
2021-09-09 12:36:12.971783 : Epoch  5, Batch   2450, Loss  0.851747, Average Loss  0.868116, Time  0.417807
2021-09-09 12:36:14.829635 : Epoch  5, Batch   2451, Loss  0.843123, Average Loss  0.867818, Time  0.387759
2021-09-09 12:36:16.712051 : Epoch  5, Batch   2452, Loss  0.852262, Average Loss  0.867787, Time  0.396221
2021-09-09 12:36:18.702807 : Epoch  5, Batch   2453, Loss  0.867890, Average Loss  0.867804, Time  0.458713
2021-09-09 12:36:20.604020 : Epoch  5, Batch   2454, Loss  0.875607, Average Loss  0.867818, Time  0.387470
2021-09-09 12:36:22.501530 : Epoch  5, Batch   2455, Loss  0.901328, Average Loss  0.867937, Time  0.420723
2021-09-09 12:36:24.387018 : Epoch  5, Batch   2456, Loss  0.839113, Average Loss  0.867863, Time  0.455074
2021-09-09 12:41:15.525736 : CheckPoint: Validation Loss  0.00058849, Best Loss  0.00056427
2021-09-09 12:41:17.422105 : Epoch  5, Batch   2457, Loss  0.853977, Average Loss  0.867796, Time  0.454082
2021-09-09 12:41:19.321781 : Epoch  5, Batch   2458, Loss  0.897417, Average Loss  0.868055, Time  0.451031
2021-09-09 12:41:21.119846 : Epoch  5, Batch   2459, Loss  0.872128, Average Loss  0.868147, Time  0.360714
2021-09-09 12:41:22.938817 : Epoch  5, Batch   2460, Loss  0.847703, Average Loss  0.868015, Time  0.357071
2021-09-09 12:41:24.782434 : Epoch  5, Batch   2461, Loss  0.894140, Average Loss  0.868016, Time  0.402924
2021-09-09 12:41:26.683216 : Epoch  5, Batch   2462, Loss  0.835805, Average Loss  0.867709, Time  0.455335
2021-09-09 12:41:28.492482 : Epoch  5, Batch   2463, Loss  0.862080, Average Loss  0.867606, Time  0.357646
2021-09-09 12:41:30.307787 : Epoch  5, Batch   2464, Loss  0.874031, Average Loss  0.867696, Time  0.364161
2021-09-09 12:41:32.118832 : Epoch  5, Batch   2465, Loss  0.875790, Average Loss  0.867675, Time  0.373903
2021-09-09 12:41:34.017793 : Epoch  5, Batch   2466, Loss  0.834783, Average Loss  0.867559, Time  0.452215
2021-09-09 12:41:35.805890 : Epoch  5, Batch   2467, Loss  0.847354, Average Loss  0.867497, Time  0.350818
2021-09-09 12:41:37.603788 : Epoch  5, Batch   2468, Loss  0.849373, Average Loss  0.867446, Time  0.357924
2021-09-09 12:41:39.401215 : Epoch  5, Batch   2469, Loss  0.872708, Average Loss  0.867337, Time  0.362147
2021-09-09 12:41:41.315798 : Epoch  5, Batch   2470, Loss  0.893407, Average Loss  0.867464, Time  0.465667
2021-09-09 12:41:43.127830 : Epoch  5, Batch   2471, Loss  0.874444, Average Loss  0.867538, Time  0.378289
2021-09-09 12:41:44.937787 : Epoch  5, Batch   2472, Loss  0.866882, Average Loss  0.867745, Time  0.377809
2021-09-09 12:41:46.744775 : Epoch  5, Batch   2473, Loss  0.869435, Average Loss  0.867722, Time  0.359032
2021-09-09 12:41:48.651892 : Epoch  5, Batch   2474, Loss  0.837664, Average Loss  0.867506, Time  0.448019
2021-09-09 12:41:50.564894 : Epoch  5, Batch   2475, Loss  0.857593, Average Loss  0.867461, Time  0.459651
2021-09-09 12:41:52.534798 : Epoch  5, Batch   2476, Loss  0.854980, Average Loss  0.867406, Time  0.463465
2021-09-09 12:41:54.443826 : Epoch  5, Batch   2477, Loss  0.867591, Average Loss  0.867522, Time  0.408864
2021-09-09 12:41:56.332809 : Epoch  5, Batch   2478, Loss  0.862586, Average Loss  0.867446, Time  0.408184
2021-09-09 12:41:58.197778 : Epoch  5, Batch   2479, Loss  0.884818, Average Loss  0.867515, Time  0.399195
2021-09-09 12:42:00.182843 : Epoch  5, Batch   2480, Loss  0.849692, Average Loss  0.867516, Time  0.486346
2021-09-09 12:42:02.137901 : Epoch  5, Batch   2481, Loss  0.838502, Average Loss  0.867325, Time  0.479120
2021-09-09 12:42:04.021794 : Epoch  5, Batch   2482, Loss  0.887051, Average Loss  0.867262, Time  0.398365
2021-09-09 12:42:05.913859 : Epoch  5, Batch   2483, Loss  0.860234, Average Loss  0.867345, Time  0.399510
2021-09-09 12:42:07.784969 : Epoch  5, Batch   2484, Loss  0.888905, Average Loss  0.867594, Time  0.395011
2021-09-09 12:42:09.734785 : Epoch  5, Batch   2485, Loss  0.861880, Average Loss  0.867666, Time  0.484795
2021-09-09 12:42:11.694806 : Epoch  5, Batch   2486, Loss  0.861785, Average Loss  0.867592, Time  0.480209
2021-09-09 12:42:13.559783 : Epoch  5, Batch   2487, Loss  0.896775, Average Loss  0.867735, Time  0.400282
2021-09-09 12:42:15.451201 : Epoch  5, Batch   2488, Loss  0.870745, Average Loss  0.867766, Time  0.397347
2021-09-09 12:42:17.336850 : Epoch  5, Batch   2489, Loss  0.864991, Average Loss  0.867725, Time  0.397344
2021-09-09 12:42:19.305817 : Epoch  5, Batch   2490, Loss  0.838879, Average Loss  0.867708, Time  0.486052
2021-09-09 12:42:21.272797 : Epoch  5, Batch   2491, Loss  0.885309, Average Loss  0.867807, Time  0.478495
2021-09-09 12:42:23.144879 : Epoch  5, Batch   2492, Loss  0.863324, Average Loss  0.867827, Time  0.397466
2021-09-09 12:42:25.036805 : Epoch  5, Batch   2493, Loss  0.863746, Average Loss  0.867902, Time  0.399746
2021-09-09 12:42:26.910793 : Epoch  5, Batch   2494, Loss  0.861523, Average Loss  0.868123, Time  0.397287
2021-09-09 12:42:28.888310 : Epoch  5, Batch   2495, Loss  0.885177, Average Loss  0.868125, Time  0.486896
2021-09-09 12:42:30.858926 : Epoch  5, Batch   2496, Loss  0.858752, Average Loss  0.867965, Time  0.482032
2021-09-09 12:42:32.741955 : Epoch  5, Batch   2497, Loss  0.880584, Average Loss  0.868112, Time  0.397129
2021-09-09 12:42:34.572936 : Epoch  5, Batch   2498, Loss  0.879416, Average Loss  0.868151, Time  0.356496
2021-09-09 12:42:36.427773 : Epoch  5, Batch   2499, Loss  0.874115, Average Loss  0.868160, Time  0.413843
2021-09-09 12:42:38.226790 : Epoch  5, Batch   2500, Loss  0.891740, Average Loss  0.868154, Time  0.358641
2021-09-09 12:42:40.092295 : Epoch  5, Batch   2501, Loss  0.880704, Average Loss  0.868200, Time  0.413304
2021-09-09 12:42:41.897315 : Epoch  5, Batch   2502, Loss  0.869830, Average Loss  0.868340, Time  0.356078
2021-09-09 12:42:43.754774 : Epoch  5, Batch   2503, Loss  0.870087, Average Loss  0.868322, Time  0.410764
2021-09-09 12:42:45.564552 : Epoch  5, Batch   2504, Loss  0.848231, Average Loss  0.868236, Time  0.358061
2021-09-09 12:42:47.408089 : Epoch  5, Batch   2505, Loss  0.875093, Average Loss  0.868212, Time  0.395061
2021-09-09 12:42:49.216791 : Epoch  5, Batch   2506, Loss  0.853959, Average Loss  0.868068, Time  0.356954
2021-09-09 12:42:51.030812 : Epoch  5, Batch   2507, Loss  0.867992, Average Loss  0.868150, Time  0.373056
2021-09-09 12:42:52.833869 : Epoch  5, Batch   2508, Loss  0.860155, Average Loss  0.868058, Time  0.358980
2021-09-09 12:42:54.650784 : Epoch  5, Batch   2509, Loss  0.882199, Average Loss  0.868136, Time  0.364898
2021-09-09 12:42:56.529963 : Epoch  5, Batch   2510, Loss  0.888521, Average Loss  0.868213, Time  0.371498
2021-09-09 12:42:58.412797 : Epoch  5, Batch   2511, Loss  0.863371, Average Loss  0.868271, Time  0.356227
2021-09-09 12:43:00.227227 : Epoch  5, Batch   2512, Loss  0.872632, Average Loss  0.868369, Time  0.360335
2021-09-09 12:43:02.036795 : Epoch  5, Batch   2513, Loss  0.843378, Average Loss  0.868269, Time  0.360733
2021-09-09 12:43:03.831039 : Epoch  5, Batch   2514, Loss  0.867303, Average Loss  0.868327, Time  0.358342
2021-09-09 12:43:05.641772 : Epoch  5, Batch   2515, Loss  0.883537, Average Loss  0.868322, Time  0.368864
2021-09-09 12:43:07.449331 : Epoch  5, Batch   2516, Loss  0.890304, Average Loss  0.868475, Time  0.360682
2021-09-09 12:43:09.247772 : Epoch  5, Batch   2517, Loss  0.870349, Average Loss  0.868441, Time  0.366071
2021-09-09 12:43:11.052813 : Epoch  5, Batch   2518, Loss  0.849911, Average Loss  0.868247, Time  0.360672
2021-09-09 12:43:12.861840 : Epoch  5, Batch   2519, Loss  0.872433, Average Loss  0.868119, Time  0.364625
2021-09-09 12:43:14.672786 : Epoch  5, Batch   2520, Loss  0.892018, Average Loss  0.868161, Time  0.359972
2021-09-09 12:43:16.484785 : Epoch  5, Batch   2521, Loss  0.857404, Average Loss  0.868077, Time  0.361246
2021-09-09 12:43:18.312105 : Epoch  5, Batch   2522, Loss  0.889157, Average Loss  0.868154, Time  0.360181
2021-09-09 12:43:20.121216 : Epoch  5, Batch   2523, Loss  0.863281, Average Loss  0.868078, Time  0.361554
2021-09-09 12:43:21.928780 : Epoch  5, Batch   2524, Loss  0.876450, Average Loss  0.868081, Time  0.359804
2021-09-09 12:43:23.739773 : Epoch  5, Batch   2525, Loss  0.889085, Average Loss  0.868031, Time  0.362016
2021-09-09 12:43:25.542781 : Epoch  5, Batch   2526, Loss  0.849458, Average Loss  0.867817, Time  0.358531
2021-09-09 12:43:27.351984 : Epoch  5, Batch   2527, Loss  0.878354, Average Loss  0.867540, Time  0.366192
2021-09-09 12:43:29.163771 : Epoch  5, Batch   2528, Loss  0.884862, Average Loss  0.867594, Time  0.360158
2021-09-09 12:43:30.975840 : Epoch  5, Batch   2529, Loss  0.861416, Average Loss  0.867556, Time  0.360153
2021-09-09 12:43:32.770323 : Epoch  5, Batch   2530, Loss  0.890624, Average Loss  0.867714, Time  0.358426
2021-09-09 12:43:34.583255 : Epoch  5, Batch   2531, Loss  0.881845, Average Loss  0.867743, Time  0.368253
2021-09-09 12:43:36.387792 : Epoch  5, Batch   2532, Loss  0.851083, Average Loss  0.867510, Time  0.360064
2021-09-09 12:43:38.197793 : Epoch  5, Batch   2533, Loss  0.887745, Average Loss  0.867620, Time  0.363138
2021-09-09 12:43:40.002224 : Epoch  5, Batch   2534, Loss  0.861340, Average Loss  0.867534, Time  0.359881
2021-09-09 12:43:41.810773 : Epoch  5, Batch   2535, Loss  0.903746, Average Loss  0.867678, Time  0.361645
2021-09-09 12:43:43.606886 : Epoch  5, Batch   2536, Loss  0.865627, Average Loss  0.867620, Time  0.359069
2021-09-09 12:43:45.411857 : Epoch  5, Batch   2537, Loss  0.885723, Average Loss  0.867581, Time  0.364450
2021-09-09 12:43:47.214193 : Epoch  5, Batch   2538, Loss  0.893253, Average Loss  0.867702, Time  0.359309
2021-09-09 12:43:49.026201 : Epoch  5, Batch   2539, Loss  0.852164, Average Loss  0.867775, Time  0.363479
2021-09-09 12:43:50.827818 : Epoch  5, Batch   2540, Loss  0.872872, Average Loss  0.867705, Time  0.360068
2021-09-09 12:43:52.640171 : Epoch  5, Batch   2541, Loss  0.877674, Average Loss  0.867704, Time  0.364882
2021-09-09 12:43:54.450459 : Epoch  5, Batch   2542, Loss  0.870323, Average Loss  0.867663, Time  0.358464
2021-09-09 12:43:56.278248 : Epoch  5, Batch   2543, Loss  0.909834, Average Loss  0.867922, Time  0.366749
2021-09-09 12:43:58.107869 : Epoch  5, Batch   2544, Loss  0.868566, Average Loss  0.867768, Time  0.362757
2021-09-09 12:43:59.922378 : Epoch  5, Batch   2545, Loss  0.863797, Average Loss  0.867739, Time  0.358703
2021-09-09 12:44:01.736838 : Epoch  5, Batch   2546, Loss  0.861699, Average Loss  0.867597, Time  0.359750
2021-09-09 12:44:03.541962 : Epoch  5, Batch   2547, Loss  0.860946, Average Loss  0.867566, Time  0.360679
2021-09-09 12:44:05.347791 : Epoch  5, Batch   2548, Loss  0.840911, Average Loss  0.867558, Time  0.359741
2021-09-09 12:44:07.164932 : Epoch  5, Batch   2549, Loss  0.873294, Average Loss  0.867455, Time  0.362781
2021-09-09 12:44:08.970368 : Epoch  5, Batch   2550, Loss  0.882744, Average Loss  0.867474, Time  0.361213
2021-09-09 12:44:10.761929 : Epoch  5, Batch   2551, Loss  0.869381, Average Loss  0.867470, Time  0.366666
2021-09-09 12:44:12.569249 : Epoch  5, Batch   2552, Loss  0.843311, Average Loss  0.867312, Time  0.359882
2021-09-09 12:44:14.389776 : Epoch  5, Batch   2553, Loss  0.868623, Average Loss  0.867388, Time  0.360714
2021-09-09 12:44:16.197816 : Epoch  5, Batch   2554, Loss  0.867511, Average Loss  0.867443, Time  0.358640
2021-09-09 12:44:18.003836 : Epoch  5, Batch   2555, Loss  0.855066, Average Loss  0.867394, Time  0.363749
2021-09-09 12:44:19.855310 : Epoch  5, Batch   2556, Loss  0.847440, Average Loss  0.867279, Time  0.359015
2021-09-09 12:49:10.591738 : CheckPoint: Validation Loss  0.00059618, Best Loss  0.00056427
2021-09-09 12:49:12.454794 : Epoch  5, Batch   2557, Loss  0.851343, Average Loss  0.867267, Time  0.435740
2021-09-09 12:49:14.369781 : Epoch  5, Batch   2558, Loss  0.906302, Average Loss  0.867453, Time  0.455234
2021-09-09 12:49:16.154299 : Epoch  5, Batch   2559, Loss  0.870601, Average Loss  0.867459, Time  0.344866
2021-09-09 12:49:18.040421 : Epoch  5, Batch   2560, Loss  0.873004, Average Loss  0.867492, Time  0.408882
2021-09-09 12:49:19.928802 : Epoch  5, Batch   2561, Loss  0.865768, Average Loss  0.867599, Time  0.411594
2021-09-09 12:49:21.912609 : Epoch  5, Batch   2562, Loss  0.875395, Average Loss  0.867647, Time  0.478188
2021-09-09 12:49:23.887784 : Epoch  5, Batch   2563, Loss  0.843382, Average Loss  0.867555, Time  0.492736
2021-09-09 12:49:25.903107 : Epoch  5, Batch   2564, Loss  0.895151, Average Loss  0.867587, Time  0.490627
2021-09-09 12:49:27.789115 : Epoch  5, Batch   2565, Loss  0.878292, Average Loss  0.867625, Time  0.400269
2021-09-09 12:49:29.696791 : Epoch  5, Batch   2566, Loss  0.863878, Average Loss  0.867609, Time  0.419450
2021-09-09 12:49:31.610839 : Epoch  5, Batch   2567, Loss  0.873136, Average Loss  0.867701, Time  0.425111
2021-09-09 12:49:33.608899 : Epoch  5, Batch   2568, Loss  0.865656, Average Loss  0.867712, Time  0.513545
2021-09-09 12:49:35.587797 : Epoch  5, Batch   2569, Loss  0.906156, Average Loss  0.868053, Time  0.487901
2021-09-09 12:49:37.567262 : Epoch  5, Batch   2570, Loss  0.868217, Average Loss  0.867869, Time  0.479780
2021-09-09 12:49:39.455779 : Epoch  5, Batch   2571, Loss  0.883703, Average Loss  0.868087, Time  0.399995
2021-09-09 12:49:41.349790 : Epoch  5, Batch   2572, Loss  0.846073, Average Loss  0.868083, Time  0.399721
2021-09-09 12:49:43.231813 : Epoch  5, Batch   2573, Loss  0.871135, Average Loss  0.868046, Time  0.396603
2021-09-09 12:49:45.206301 : Epoch  5, Batch   2574, Loss  0.858516, Average Loss  0.867971, Time  0.488572
2021-09-09 12:49:47.166955 : Epoch  5, Batch   2575, Loss  0.878886, Average Loss  0.868064, Time  0.477579
2021-09-09 12:49:49.041303 : Epoch  5, Batch   2576, Loss  0.888852, Average Loss  0.868202, Time  0.397144
2021-09-09 12:49:50.926806 : Epoch  5, Batch   2577, Loss  0.848411, Average Loss  0.868155, Time  0.399749
2021-09-09 12:49:52.810802 : Epoch  5, Batch   2578, Loss  0.857630, Average Loss  0.868065, Time  0.397639
2021-09-09 12:49:54.780050 : Epoch  5, Batch   2579, Loss  0.872328, Average Loss  0.868265, Time  0.487547
2021-09-09 12:49:56.739516 : Epoch  5, Batch   2580, Loss  0.847706, Average Loss  0.868217, Time  0.479831
2021-09-09 12:49:58.614922 : Epoch  5, Batch   2581, Loss  0.866978, Average Loss  0.868220, Time  0.393214
2021-09-09 12:50:00.490903 : Epoch  5, Batch   2582, Loss  0.873683, Average Loss  0.868401, Time  0.396071
2021-09-09 12:50:02.378219 : Epoch  5, Batch   2583, Loss  0.858152, Average Loss  0.868318, Time  0.399222
2021-09-09 12:50:04.341033 : Epoch  5, Batch   2584, Loss  0.850500, Average Loss  0.867992, Time  0.485291
2021-09-09 12:50:06.321313 : Epoch  5, Batch   2585, Loss  0.861228, Average Loss  0.867869, Time  0.484653
2021-09-09 12:50:08.287804 : Epoch  5, Batch   2586, Loss  0.845537, Average Loss  0.867767, Time  0.481592
2021-09-09 12:50:10.168881 : Epoch  5, Batch   2587, Loss  0.863086, Average Loss  0.867654, Time  0.397180
2021-09-09 12:50:12.094823 : Epoch  5, Batch   2588, Loss  0.890898, Average Loss  0.867681, Time  0.399306
2021-09-09 12:50:13.979346 : Epoch  5, Batch   2589, Loss  0.874919, Average Loss  0.867646, Time  0.398284
2021-09-09 12:50:15.969805 : Epoch  5, Batch   2590, Loss  0.841512, Average Loss  0.867603, Time  0.488625
2021-09-09 12:50:17.875945 : Epoch  5, Batch   2591, Loss  0.847028, Average Loss  0.867437, Time  0.448890
2021-09-09 12:50:19.682170 : Epoch  5, Batch   2592, Loss  0.871878, Average Loss  0.867534, Time  0.358986
2021-09-09 12:50:21.494172 : Epoch  5, Batch   2593, Loss  0.854209, Average Loss  0.867471, Time  0.358377
2021-09-09 12:50:23.338947 : Epoch  5, Batch   2594, Loss  0.879256, Average Loss  0.867539, Time  0.388836
2021-09-09 12:50:25.249453 : Epoch  5, Batch   2595, Loss  0.869740, Average Loss  0.867325, Time  0.452863
2021-09-09 12:50:27.065806 : Epoch  5, Batch   2596, Loss  0.848490, Average Loss  0.867057, Time  0.373794
2021-09-09 12:50:28.876844 : Epoch  5, Batch   2597, Loss  0.865377, Average Loss  0.867092, Time  0.358755
2021-09-09 12:50:30.698409 : Epoch  5, Batch   2598, Loss  0.876083, Average Loss  0.867161, Time  0.358743
2021-09-09 12:50:32.596919 : Epoch  5, Batch   2599, Loss  0.876793, Average Loss  0.867109, Time  0.446289
2021-09-09 12:50:34.614424 : Epoch  5, Batch   2600, Loss  0.858159, Average Loss  0.866916, Time  0.485247
2021-09-09 12:50:36.597795 : Epoch  5, Batch   2601, Loss  0.843052, Average Loss  0.866785, Time  0.484980
2021-09-09 12:50:38.496267 : Epoch  5, Batch   2602, Loss  0.875284, Average Loss  0.866911, Time  0.403094
2021-09-09 12:50:40.410788 : Epoch  5, Batch   2603, Loss  0.868215, Average Loss  0.866971, Time  0.407300
2021-09-09 12:50:42.230220 : Epoch  5, Batch   2604, Loss  0.886754, Average Loss  0.867133, Time  0.358005
2021-09-09 12:50:44.146804 : Epoch  5, Batch   2605, Loss  0.863343, Average Loss  0.867021, Time  0.455617
2021-09-09 12:50:46.046871 : Epoch  5, Batch   2606, Loss  0.845233, Average Loss  0.866946, Time  0.448647
2021-09-09 12:50:47.875800 : Epoch  5, Batch   2607, Loss  0.880158, Average Loss  0.866899, Time  0.367331
2021-09-09 12:50:49.677780 : Epoch  5, Batch   2608, Loss  0.868534, Average Loss  0.866906, Time  0.356606
2021-09-09 12:50:51.525263 : Epoch  5, Batch   2609, Loss  0.892076, Average Loss  0.867015, Time  0.397844
2021-09-09 12:50:53.425045 : Epoch  5, Batch   2610, Loss  0.867221, Average Loss  0.867102, Time  0.453074
2021-09-09 12:50:55.225784 : Epoch  5, Batch   2611, Loss  0.859926, Average Loss  0.867177, Time  0.344931
2021-09-09 12:50:57.016821 : Epoch  5, Batch   2612, Loss  0.891734, Average Loss  0.867204, Time  0.356413
2021-09-09 12:50:58.829081 : Epoch  5, Batch   2613, Loss  0.829124, Average Loss  0.866957, Time  0.357088
2021-09-09 12:51:00.728780 : Epoch  5, Batch   2614, Loss  0.880105, Average Loss  0.867102, Time  0.452509
2021-09-09 12:51:02.616792 : Epoch  5, Batch   2615, Loss  0.861838, Average Loss  0.867151, Time  0.446158
2021-09-09 12:51:04.419219 : Epoch  5, Batch   2616, Loss  0.850835, Average Loss  0.867132, Time  0.359683
2021-09-09 12:51:06.231184 : Epoch  5, Batch   2617, Loss  0.827164, Average Loss  0.866968, Time  0.356722
2021-09-09 12:51:08.152866 : Epoch  5, Batch   2618, Loss  0.868306, Average Loss  0.866949, Time  0.417948
2021-09-09 12:51:10.131239 : Epoch  5, Batch   2619, Loss  0.849566, Average Loss  0.866808, Time  0.485256
2021-09-09 12:51:12.139831 : Epoch  5, Batch   2620, Loss  0.855165, Average Loss  0.866728, Time  0.479303
2021-09-09 12:51:14.004873 : Epoch  5, Batch   2621, Loss  0.862299, Average Loss  0.866718, Time  0.393433
2021-09-09 12:51:15.896805 : Epoch  5, Batch   2622, Loss  0.861533, Average Loss  0.866778, Time  0.397390
2021-09-09 12:51:17.783786 : Epoch  5, Batch   2623, Loss  0.855275, Average Loss  0.866787, Time  0.399601
2021-09-09 12:51:19.755963 : Epoch  5, Batch   2624, Loss  0.847808, Average Loss  0.866713, Time  0.488526
2021-09-09 12:51:21.717988 : Epoch  5, Batch   2625, Loss  0.850679, Average Loss  0.866704, Time  0.486690
2021-09-09 12:51:23.685207 : Epoch  5, Batch   2626, Loss  0.877825, Average Loss  0.866876, Time  0.479859
2021-09-09 12:51:25.587011 : Epoch  5, Batch   2627, Loss  0.854215, Average Loss  0.866818, Time  0.397897
2021-09-09 12:51:27.468943 : Epoch  5, Batch   2628, Loss  0.884326, Average Loss  0.867033, Time  0.398161
2021-09-09 12:51:29.368802 : Epoch  5, Batch   2629, Loss  0.884488, Average Loss  0.867052, Time  0.405079
2021-09-09 12:51:31.348816 : Epoch  5, Batch   2630, Loss  0.869963, Average Loss  0.867146, Time  0.487686
2021-09-09 12:51:33.320934 : Epoch  5, Batch   2631, Loss  0.901785, Average Loss  0.867369, Time  0.480207
2021-09-09 12:51:35.228845 : Epoch  5, Batch   2632, Loss  0.859489, Average Loss  0.867368, Time  0.409685
2021-09-09 12:51:37.114793 : Epoch  5, Batch   2633, Loss  0.862675, Average Loss  0.867354, Time  0.399532
2021-09-09 12:51:39.008216 : Epoch  5, Batch   2634, Loss  0.874329, Average Loss  0.867382, Time  0.397196
2021-09-09 12:51:40.927852 : Epoch  5, Batch   2635, Loss  0.878368, Average Loss  0.867340, Time  0.446618
2021-09-09 12:51:42.905853 : Epoch  5, Batch   2636, Loss  0.867443, Average Loss  0.867532, Time  0.486513
2021-09-09 12:51:44.889974 : Epoch  5, Batch   2637, Loss  0.894272, Average Loss  0.867615, Time  0.481590
2021-09-09 12:51:46.775515 : Epoch  5, Batch   2638, Loss  0.880314, Average Loss  0.867717, Time  0.398522
2021-09-09 12:51:48.658796 : Epoch  5, Batch   2639, Loss  0.869049, Average Loss  0.867825, Time  0.397445
2021-09-09 12:51:50.557804 : Epoch  5, Batch   2640, Loss  0.866366, Average Loss  0.867813, Time  0.398828
2021-09-09 12:51:52.530330 : Epoch  5, Batch   2641, Loss  0.859812, Average Loss  0.867778, Time  0.483591
2021-09-09 12:51:54.517993 : Epoch  5, Batch   2642, Loss  0.869719, Average Loss  0.867810, Time  0.487529
2021-09-09 12:51:56.484789 : Epoch  5, Batch   2643, Loss  0.867288, Average Loss  0.867822, Time  0.479638
2021-09-09 12:51:58.359275 : Epoch  5, Batch   2644, Loss  0.880499, Average Loss  0.867798, Time  0.397110
2021-09-09 12:52:00.254471 : Epoch  5, Batch   2645, Loss  0.866705, Average Loss  0.867698, Time  0.397821
2021-09-09 12:52:02.134194 : Epoch  5, Batch   2646, Loss  0.857040, Average Loss  0.867685, Time  0.396307
2021-09-09 12:52:04.112794 : Epoch  5, Batch   2647, Loss  0.883780, Average Loss  0.867803, Time  0.487237
2021-09-09 12:52:06.089787 : Epoch  5, Batch   2648, Loss  0.871085, Average Loss  0.867872, Time  0.479588
2021-09-09 12:52:07.970236 : Epoch  5, Batch   2649, Loss  0.875329, Average Loss  0.868000, Time  0.388139
2021-09-09 12:52:09.860838 : Epoch  5, Batch   2650, Loss  0.885241, Average Loss  0.868167, Time  0.398231
2021-09-09 12:52:11.753312 : Epoch  5, Batch   2651, Loss  0.890627, Average Loss  0.868405, Time  0.398292
2021-09-09 12:52:13.745817 : Epoch  5, Batch   2652, Loss  0.874170, Average Loss  0.868514, Time  0.460286
2021-09-09 12:52:15.739053 : Epoch  5, Batch   2653, Loss  0.853279, Average Loss  0.868441, Time  0.486846
2021-09-09 12:52:17.692784 : Epoch  5, Batch   2654, Loss  0.872769, Average Loss  0.868427, Time  0.481610
2021-09-09 12:52:19.558331 : Epoch  5, Batch   2655, Loss  0.874417, Average Loss  0.868292, Time  0.398491
2021-09-09 12:52:21.437818 : Epoch  5, Batch   2656, Loss  0.881220, Average Loss  0.868503, Time  0.398368
2021-09-09 12:57:12.498725 : CheckPoint: Validation Loss  0.00058320, Best Loss  0.00056427
2021-09-09 12:57:14.294960 : Epoch  5, Batch   2657, Loss  0.857475, Average Loss  0.868520, Time  0.360554
2021-09-09 12:57:16.108823 : Epoch  5, Batch   2658, Loss  0.852456, Average Loss  0.868296, Time  0.360840
2021-09-09 12:57:17.931783 : Epoch  5, Batch   2659, Loss  0.854157, Average Loss  0.868206, Time  0.374959
2021-09-09 12:57:19.822780 : Epoch  5, Batch   2660, Loss  0.884363, Average Loss  0.868389, Time  0.452037
2021-09-09 12:57:21.635226 : Epoch  5, Batch   2661, Loss  0.875785, Average Loss  0.868297, Time  0.369176
2021-09-09 12:57:23.441780 : Epoch  5, Batch   2662, Loss  0.883587, Average Loss  0.868536, Time  0.356751
2021-09-09 12:57:25.246965 : Epoch  5, Batch   2663, Loss  0.874549, Average Loss  0.868599, Time  0.355255
2021-09-09 12:57:27.131775 : Epoch  5, Batch   2664, Loss  0.888761, Average Loss  0.868672, Time  0.447888
2021-09-09 12:57:29.053226 : Epoch  5, Batch   2665, Loss  0.848987, Average Loss  0.868538, Time  0.450969
2021-09-09 12:57:30.853221 : Epoch  5, Batch   2666, Loss  0.863315, Average Loss  0.868681, Time  0.357963
2021-09-09 12:57:32.645985 : Epoch  5, Batch   2667, Loss  0.852446, Average Loss  0.868706, Time  0.356688
2021-09-09 12:57:34.464767 : Epoch  5, Batch   2668, Loss  0.872246, Average Loss  0.868821, Time  0.384439
2021-09-09 12:57:36.346232 : Epoch  5, Batch   2669, Loss  0.878364, Average Loss  0.868849, Time  0.450892
2021-09-09 12:57:38.158026 : Epoch  5, Batch   2670, Loss  0.871952, Average Loss  0.868742, Time  0.359135
2021-09-09 12:57:39.981787 : Epoch  5, Batch   2671, Loss  0.893455, Average Loss  0.868837, Time  0.357715
2021-09-09 12:57:41.791791 : Epoch  5, Batch   2672, Loss  0.853680, Average Loss  0.868771, Time  0.364823
2021-09-09 12:57:43.688770 : Epoch  5, Batch   2673, Loss  0.871314, Average Loss  0.868780, Time  0.455641
2021-09-09 12:57:45.555447 : Epoch  5, Batch   2674, Loss  0.896646, Average Loss  0.869075, Time  0.413475
2021-09-09 12:57:47.367157 : Epoch  5, Batch   2675, Loss  0.888334, Average Loss  0.869229, Time  0.356320
2021-09-09 12:57:49.183227 : Epoch  5, Batch   2676, Loss  0.870228, Average Loss  0.869305, Time  0.355896
2021-09-09 12:57:51.061771 : Epoch  5, Batch   2677, Loss  0.876232, Average Loss  0.869348, Time  0.418406
2021-09-09 12:57:52.959081 : Epoch  5, Batch   2678, Loss  0.880561, Average Loss  0.869438, Time  0.451270
2021-09-09 12:57:54.755919 : Epoch  5, Batch   2679, Loss  0.872944, Average Loss  0.869379, Time  0.351207
2021-09-09 12:57:56.549131 : Epoch  5, Batch   2680, Loss  0.900061, Average Loss  0.869630, Time  0.357424
2021-09-09 12:57:58.350210 : Epoch  5, Batch   2681, Loss  0.883575, Average Loss  0.869856, Time  0.359862
2021-09-09 12:58:00.255905 : Epoch  5, Batch   2682, Loss  0.871782, Average Loss  0.869780, Time  0.450702
2021-09-09 12:58:02.114228 : Epoch  5, Batch   2683, Loss  0.857692, Average Loss  0.869767, Time  0.407822
2021-09-09 12:58:03.918774 : Epoch  5, Batch   2684, Loss  0.862656, Average Loss  0.869636, Time  0.357960
2021-09-09 12:58:05.724206 : Epoch  5, Batch   2685, Loss  0.872330, Average Loss  0.869688, Time  0.356703
2021-09-09 12:58:07.604781 : Epoch  5, Batch   2686, Loss  0.840861, Average Loss  0.869583, Time  0.425150
2021-09-09 12:58:09.505239 : Epoch  5, Batch   2687, Loss  0.876910, Average Loss  0.869484, Time  0.453896
2021-09-09 12:58:11.305016 : Epoch  5, Batch   2688, Loss  0.863443, Average Loss  0.869447, Time  0.357728
2021-09-09 12:58:13.141795 : Epoch  5, Batch   2689, Loss  0.831765, Average Loss  0.869281, Time  0.359260
2021-09-09 12:58:14.948172 : Epoch  5, Batch   2690, Loss  0.876972, Average Loss  0.869472, Time  0.360394
2021-09-09 12:58:16.860880 : Epoch  5, Batch   2691, Loss  0.864303, Average Loss  0.869367, Time  0.452348
2021-09-09 12:58:18.727775 : Epoch  5, Batch   2692, Loss  0.910482, Average Loss  0.869602, Time  0.413602
2021-09-09 12:58:20.539871 : Epoch  5, Batch   2693, Loss  0.872443, Average Loss  0.869646, Time  0.356520
2021-09-09 12:58:22.328354 : Epoch  5, Batch   2694, Loss  0.861719, Average Loss  0.869647, Time  0.354275
2021-09-09 12:58:24.206271 : Epoch  5, Batch   2695, Loss  0.892749, Average Loss  0.869685, Time  0.429312
2021-09-09 12:58:26.110812 : Epoch  5, Batch   2696, Loss  0.883352, Average Loss  0.869808, Time  0.453611
2021-09-09 12:58:27.910942 : Epoch  5, Batch   2697, Loss  0.863376, Average Loss  0.869722, Time  0.360233
2021-09-09 12:58:29.721183 : Epoch  5, Batch   2698, Loss  0.852956, Average Loss  0.869589, Time  0.356852
2021-09-09 12:58:31.533207 : Epoch  5, Batch   2699, Loss  0.859408, Average Loss  0.869516, Time  0.356297
2021-09-09 12:58:33.452222 : Epoch  5, Batch   2700, Loss  0.836846, Average Loss  0.869241, Time  0.448409
2021-09-09 12:58:35.306253 : Epoch  5, Batch   2701, Loss  0.864016, Average Loss  0.869158, Time  0.408787
2021-09-09 12:58:37.124941 : Epoch  5, Batch   2702, Loss  0.873712, Average Loss  0.869177, Time  0.359291
2021-09-09 12:58:38.931312 : Epoch  5, Batch   2703, Loss  0.866399, Average Loss  0.869159, Time  0.357495
2021-09-09 12:58:40.792988 : Epoch  5, Batch   2704, Loss  0.849920, Average Loss  0.869167, Time  0.422795
2021-09-09 12:58:42.708233 : Epoch  5, Batch   2705, Loss  0.884618, Average Loss  0.869215, Time  0.452405
2021-09-09 12:58:44.514043 : Epoch  5, Batch   2706, Loss  0.871529, Average Loss  0.869303, Time  0.356660
2021-09-09 12:58:46.323838 : Epoch  5, Batch   2707, Loss  0.849360, Average Loss  0.869210, Time  0.357640
2021-09-09 12:58:48.129916 : Epoch  5, Batch   2708, Loss  0.879510, Average Loss  0.869306, Time  0.359404
2021-09-09 12:58:50.002872 : Epoch  5, Batch   2709, Loss  0.873619, Average Loss  0.869264, Time  0.451877
2021-09-09 12:58:51.803916 : Epoch  5, Batch   2710, Loss  0.861533, Average Loss  0.869129, Time  0.351375
2021-09-09 12:58:53.603807 : Epoch  5, Batch   2711, Loss  0.890731, Average Loss  0.869265, Time  0.359636
2021-09-09 12:58:55.396819 : Epoch  5, Batch   2712, Loss  0.894758, Average Loss  0.869376, Time  0.356935
2021-09-09 12:58:57.280248 : Epoch  5, Batch   2713, Loss  0.856252, Average Loss  0.869440, Time  0.453340
2021-09-09 12:58:59.089957 : Epoch  5, Batch   2714, Loss  0.867559, Average Loss  0.869442, Time  0.356269
2021-09-09 12:59:00.878802 : Epoch  5, Batch   2715, Loss  0.851819, Average Loss  0.869283, Time  0.356785
2021-09-09 12:59:02.678210 : Epoch  5, Batch   2716, Loss  0.854462, Average Loss  0.869104, Time  0.374420
2021-09-09 12:59:04.572058 : Epoch  5, Batch   2717, Loss  0.864912, Average Loss  0.869077, Time  0.451418
2021-09-09 12:59:06.386921 : Epoch  5, Batch   2718, Loss  0.881069, Average Loss  0.869233, Time  0.368512
2021-09-09 12:59:08.203858 : Epoch  5, Batch   2719, Loss  0.854354, Average Loss  0.869142, Time  0.360541
2021-09-09 12:59:10.019395 : Epoch  5, Batch   2720, Loss  0.852202, Average Loss  0.868943, Time  0.364841
2021-09-09 12:59:11.929510 : Epoch  5, Batch   2721, Loss  0.851867, Average Loss  0.868915, Time  0.454049
2021-09-09 12:59:13.790956 : Epoch  5, Batch   2722, Loss  0.858492, Average Loss  0.868762, Time  0.413288
2021-09-09 12:59:15.593801 : Epoch  5, Batch   2723, Loss  0.864782, Average Loss  0.868770, Time  0.358063
2021-09-09 12:59:17.386777 : Epoch  5, Batch   2724, Loss  0.852660, Average Loss  0.868651, Time  0.356879
2021-09-09 12:59:19.261916 : Epoch  5, Batch   2725, Loss  0.889529, Average Loss  0.868653, Time  0.424853
2021-09-09 12:59:21.142450 : Epoch  5, Batch   2726, Loss  0.902011, Average Loss  0.868916, Time  0.452120
2021-09-09 12:59:22.944847 : Epoch  5, Batch   2727, Loss  0.878420, Average Loss  0.868916, Time  0.358622
2021-09-09 12:59:24.749203 : Epoch  5, Batch   2728, Loss  0.842374, Average Loss  0.868703, Time  0.357835
2021-09-09 12:59:26.572894 : Epoch  5, Batch   2729, Loss  0.888788, Average Loss  0.868840, Time  0.373777
2021-09-09 12:59:28.466038 : Epoch  5, Batch   2730, Loss  0.872700, Average Loss  0.868751, Time  0.453115
2021-09-09 12:59:30.265563 : Epoch  5, Batch   2731, Loss  0.858094, Average Loss  0.868632, Time  0.357512
2021-09-09 12:59:32.074066 : Epoch  5, Batch   2732, Loss  0.871995, Average Loss  0.868736, Time  0.358455
2021-09-09 12:59:33.881010 : Epoch  5, Batch   2733, Loss  0.892777, Average Loss  0.868762, Time  0.358030
2021-09-09 12:59:35.779777 : Epoch  5, Batch   2734, Loss  0.878057, Average Loss  0.868845, Time  0.452032
2021-09-09 12:59:37.561264 : Epoch  5, Batch   2735, Loss  0.873666, Average Loss  0.868695, Time  0.336744
2021-09-09 12:59:39.365919 : Epoch  5, Batch   2736, Loss  0.883769, Average Loss  0.868786, Time  0.355762
2021-09-09 12:59:41.166806 : Epoch  5, Batch   2737, Loss  0.867544, Average Loss  0.868695, Time  0.355556
2021-09-09 12:59:43.053954 : Epoch  5, Batch   2738, Loss  0.896541, Average Loss  0.868711, Time  0.449577
2021-09-09 12:59:44.847805 : Epoch  5, Batch   2739, Loss  0.868731, Average Loss  0.868794, Time  0.342298
2021-09-09 12:59:46.664791 : Epoch  5, Batch   2740, Loss  0.893223, Average Loss  0.868896, Time  0.359370
2021-09-09 12:59:48.475215 : Epoch  5, Batch   2741, Loss  0.865578, Average Loss  0.868835, Time  0.359665
2021-09-09 12:59:50.376254 : Epoch  5, Batch   2742, Loss  0.859324, Average Loss  0.868780, Time  0.451451
2021-09-09 12:59:52.277220 : Epoch  5, Batch   2743, Loss  0.823474, Average Loss  0.868348, Time  0.443793
2021-09-09 12:59:54.076842 : Epoch  5, Batch   2744, Loss  0.900872, Average Loss  0.868510, Time  0.357210
2021-09-09 12:59:55.866873 : Epoch  5, Batch   2745, Loss  0.881960, Average Loss  0.868601, Time  0.356477
2021-09-09 12:59:57.714224 : Epoch  5, Batch   2746, Loss  0.848240, Average Loss  0.868533, Time  0.397512
2021-09-09 12:59:59.613778 : Epoch  5, Batch   2747, Loss  0.857162, Average Loss  0.868515, Time  0.452529
2021-09-09 13:00:01.405254 : Epoch  5, Batch   2748, Loss  0.888250, Average Loss  0.868751, Time  0.357422
2021-09-09 13:00:03.184082 : Epoch  5, Batch   2749, Loss  0.856316, Average Loss  0.868666, Time  0.358738
2021-09-09 13:00:04.986010 : Epoch  5, Batch   2750, Loss  0.849762, Average Loss  0.868501, Time  0.372251
2021-09-09 13:00:06.894778 : Epoch  5, Batch   2751, Loss  0.868070, Average Loss  0.868495, Time  0.452836
2021-09-09 13:00:08.754966 : Epoch  5, Batch   2752, Loss  0.866760, Average Loss  0.868612, Time  0.407466
2021-09-09 13:00:10.559150 : Epoch  5, Batch   2753, Loss  0.887116, Average Loss  0.868705, Time  0.357263
2021-09-09 13:00:12.367420 : Epoch  5, Batch   2754, Loss  0.881202, Average Loss  0.868773, Time  0.356852
2021-09-09 13:00:14.275308 : Epoch  5, Batch   2755, Loss  0.874307, Average Loss  0.868869, Time  0.427858
2021-09-09 13:00:16.153841 : Epoch  5, Batch   2756, Loss  0.866735, Average Loss  0.868966, Time  0.453584
2021-09-09 13:05:07.708714 : CheckPoint: Validation Loss  0.00060906, Best Loss  0.00056427
2021-09-09 13:05:09.572785 : Epoch  5, Batch   2757, Loss  0.895714, Average Loss  0.869188, Time  0.413146
2021-09-09 13:05:11.475789 : Epoch  5, Batch   2758, Loss  0.873228, Average Loss  0.869022, Time  0.450424
2021-09-09 13:05:13.268433 : Epoch  5, Batch   2759, Loss  0.869081, Average Loss  0.869015, Time  0.350837
2021-09-09 13:05:15.074777 : Epoch  5, Batch   2760, Loss  0.876647, Average Loss  0.869033, Time  0.358505
2021-09-09 13:05:16.877788 : Epoch  5, Batch   2761, Loss  0.867658, Average Loss  0.869042, Time  0.357163
2021-09-09 13:05:18.767777 : Epoch  5, Batch   2762, Loss  0.880626, Average Loss  0.869068, Time  0.452146
2021-09-09 13:05:20.541383 : Epoch  5, Batch   2763, Loss  0.858288, Average Loss  0.869143, Time  0.337484
2021-09-09 13:05:22.356776 : Epoch  5, Batch   2764, Loss  0.902086, Average Loss  0.869178, Time  0.357246
2021-09-09 13:05:24.162005 : Epoch  5, Batch   2765, Loss  0.873393, Average Loss  0.869153, Time  0.355669
2021-09-09 13:05:26.064275 : Epoch  5, Batch   2766, Loss  0.883771, Average Loss  0.869253, Time  0.453636
2021-09-09 13:05:27.938234 : Epoch  5, Batch   2767, Loss  0.902154, Average Loss  0.869398, Time  0.419032
2021-09-09 13:05:29.738789 : Epoch  5, Batch   2768, Loss  0.887343, Average Loss  0.869506, Time  0.357677
2021-09-09 13:05:31.534169 : Epoch  5, Batch   2769, Loss  0.858365, Average Loss  0.869267, Time  0.356316
2021-09-09 13:05:33.431787 : Epoch  5, Batch   2770, Loss  0.876272, Average Loss  0.869307, Time  0.428192
2021-09-09 13:05:35.340794 : Epoch  5, Batch   2771, Loss  0.886710, Average Loss  0.869322, Time  0.452781
2021-09-09 13:05:37.130812 : Epoch  5, Batch   2772, Loss  0.887089, Average Loss  0.869528, Time  0.336042
2021-09-09 13:05:38.933799 : Epoch  5, Batch   2773, Loss  0.871907, Average Loss  0.869531, Time  0.357297
2021-09-09 13:05:40.724796 : Epoch  5, Batch   2774, Loss  0.850784, Average Loss  0.869493, Time  0.359285
2021-09-09 13:05:42.633791 : Epoch  5, Batch   2775, Loss  0.879582, Average Loss  0.869496, Time  0.452015
2021-09-09 13:05:44.473323 : Epoch  5, Batch   2776, Loss  0.866799, Average Loss  0.869386, Time  0.371456
2021-09-09 13:05:46.288195 : Epoch  5, Batch   2777, Loss  0.857624, Average Loss  0.869432, Time  0.359353
2021-09-09 13:05:48.097777 : Epoch  5, Batch   2778, Loss  0.865650, Average Loss  0.869472, Time  0.359754
2021-09-09 13:05:49.998866 : Epoch  5, Batch   2779, Loss  0.857654, Average Loss  0.869399, Time  0.449534
2021-09-09 13:05:51.894518 : Epoch  5, Batch   2780, Loss  0.890019, Average Loss  0.869610, Time  0.447746
2021-09-09 13:05:53.698097 : Epoch  5, Batch   2781, Loss  0.888867, Average Loss  0.869720, Time  0.356383
2021-09-09 13:05:55.489132 : Epoch  5, Batch   2782, Loss  0.902600, Average Loss  0.869864, Time  0.358552
2021-09-09 13:05:57.323775 : Epoch  5, Batch   2783, Loss  0.879221, Average Loss  0.869970, Time  0.388004
2021-09-09 13:05:59.229807 : Epoch  5, Batch   2784, Loss  0.883937, Average Loss  0.870137, Time  0.454888
2021-09-09 13:06:01.053777 : Epoch  5, Batch   2785, Loss  0.881377, Average Loss  0.870238, Time  0.371232
2021-09-09 13:06:02.870238 : Epoch  5, Batch   2786, Loss  0.859942, Average Loss  0.870310, Time  0.358175
2021-09-09 13:06:04.676245 : Epoch  5, Batch   2787, Loss  0.879405, Average Loss  0.870391, Time  0.359211
2021-09-09 13:06:06.576893 : Epoch  5, Batch   2788, Loss  0.858411, Average Loss  0.870229, Time  0.447652
2021-09-09 13:06:08.535799 : Epoch  5, Batch   2789, Loss  0.877018, Average Loss  0.870239, Time  0.455277
2021-09-09 13:06:10.306911 : Epoch  5, Batch   2790, Loss  0.876025, Average Loss  0.870412, Time  0.337500
2021-09-09 13:06:12.103332 : Epoch  5, Batch   2791, Loss  0.885902, Average Loss  0.870606, Time  0.357185
2021-09-09 13:06:13.904243 : Epoch  5, Batch   2792, Loss  0.853431, Average Loss  0.870514, Time  0.355330
2021-09-09 13:06:15.799831 : Epoch  5, Batch   2793, Loss  0.866112, Average Loss  0.870574, Time  0.452342
2021-09-09 13:06:17.596779 : Epoch  5, Batch   2794, Loss  0.896305, Average Loss  0.870659, Time  0.346348
2021-09-09 13:06:19.401813 : Epoch  5, Batch   2795, Loss  0.838024, Average Loss  0.870500, Time  0.356839
2021-09-09 13:06:21.209775 : Epoch  5, Batch   2796, Loss  0.862511, Average Loss  0.870570, Time  0.357348
2021-09-09 13:06:23.112261 : Epoch  5, Batch   2797, Loss  0.854991, Average Loss  0.870518, Time  0.453371
2021-09-09 13:06:25.015795 : Epoch  5, Batch   2798, Loss  0.869483, Average Loss  0.870485, Time  0.448808
2021-09-09 13:06:26.900780 : Epoch  5, Batch   2799, Loss  0.857476, Average Loss  0.870389, Time  0.398483
2021-09-09 13:06:28.786784 : Epoch  5, Batch   2800, Loss  0.873345, Average Loss  0.870465, Time  0.399071
2021-09-09 13:06:30.674249 : Epoch  5, Batch   2801, Loss  0.884445, Average Loss  0.870672, Time  0.397497
2021-09-09 13:06:32.639779 : Epoch  5, Batch   2802, Loss  0.880782, Average Loss  0.870699, Time  0.483735
2021-09-09 13:06:34.592046 : Epoch  5, Batch   2803, Loss  0.878843, Average Loss  0.870752, Time  0.479311
2021-09-09 13:06:36.490302 : Epoch  5, Batch   2804, Loss  0.874895, Average Loss  0.870693, Time  0.397347
2021-09-09 13:06:38.389853 : Epoch  5, Batch   2805, Loss  0.851496, Average Loss  0.870634, Time  0.400168
2021-09-09 13:06:40.257807 : Epoch  5, Batch   2806, Loss  0.882072, Average Loss  0.870818, Time  0.396808
2021-09-09 13:06:42.221796 : Epoch  5, Batch   2807, Loss  0.894899, Average Loss  0.870892, Time  0.487520
2021-09-09 13:06:44.186804 : Epoch  5, Batch   2808, Loss  0.878117, Average Loss  0.870940, Time  0.476851
2021-09-09 13:06:46.062781 : Epoch  5, Batch   2809, Loss  0.877595, Average Loss  0.870867, Time  0.399197
2021-09-09 13:06:47.938218 : Epoch  5, Batch   2810, Loss  0.874078, Average Loss  0.870901, Time  0.397969
2021-09-09 13:06:49.827316 : Epoch  5, Batch   2811, Loss  0.879188, Average Loss  0.870998, Time  0.400098
2021-09-09 13:06:51.806826 : Epoch  5, Batch   2812, Loss  0.880569, Average Loss  0.870942, Time  0.488890
2021-09-09 13:06:53.776781 : Epoch  5, Batch   2813, Loss  0.866281, Average Loss  0.871128, Time  0.480244
2021-09-09 13:06:55.662705 : Epoch  5, Batch   2814, Loss  0.851457, Average Loss  0.870984, Time  0.398073
2021-09-09 13:06:57.529251 : Epoch  5, Batch   2815, Loss  0.821863, Average Loss  0.870785, Time  0.398458
2021-09-09 13:06:59.410292 : Epoch  5, Batch   2816, Loss  0.870897, Average Loss  0.870885, Time  0.399207
2021-09-09 13:07:01.368855 : Epoch  5, Batch   2817, Loss  0.880537, Average Loss  0.871152, Time  0.483147
2021-09-09 13:07:03.334148 : Epoch  5, Batch   2818, Loss  0.871354, Average Loss  0.871167, Time  0.481353
2021-09-09 13:07:05.196648 : Epoch  5, Batch   2819, Loss  0.877195, Average Loss  0.871305, Time  0.391409
2021-09-09 13:07:07.079823 : Epoch  5, Batch   2820, Loss  0.881618, Average Loss  0.871437, Time  0.395796
2021-09-09 13:07:09.016444 : Epoch  5, Batch   2821, Loss  0.872940, Average Loss  0.871491, Time  0.399745
2021-09-09 13:07:10.984626 : Epoch  5, Batch   2822, Loss  0.858621, Average Loss  0.871476, Time  0.480049
2021-09-09 13:07:12.973861 : Epoch  5, Batch   2823, Loss  0.856209, Average Loss  0.871481, Time  0.486712
2021-09-09 13:07:14.934904 : Epoch  5, Batch   2824, Loss  0.883334, Average Loss  0.871658, Time  0.482387
2021-09-09 13:07:16.801208 : Epoch  5, Batch   2825, Loss  0.856840, Average Loss  0.871689, Time  0.399250
2021-09-09 13:07:18.693790 : Epoch  5, Batch   2826, Loss  0.884979, Average Loss  0.871725, Time  0.399110
2021-09-09 13:07:20.580947 : Epoch  5, Batch   2827, Loss  0.871969, Average Loss  0.871814, Time  0.397047
2021-09-09 13:07:22.555883 : Epoch  5, Batch   2828, Loss  0.886500, Average Loss  0.871825, Time  0.487520
2021-09-09 13:07:24.517811 : Epoch  5, Batch   2829, Loss  0.882572, Average Loss  0.871815, Time  0.479547
2021-09-09 13:07:26.382780 : Epoch  5, Batch   2830, Loss  0.877596, Average Loss  0.871853, Time  0.397127
2021-09-09 13:07:28.276462 : Epoch  5, Batch   2831, Loss  0.883120, Average Loss  0.871760, Time  0.397965
2021-09-09 13:07:30.158802 : Epoch  5, Batch   2832, Loss  0.879843, Average Loss  0.871862, Time  0.399168
2021-09-09 13:07:32.128831 : Epoch  5, Batch   2833, Loss  0.861668, Average Loss  0.871857, Time  0.486194
2021-09-09 13:07:34.099307 : Epoch  5, Batch   2834, Loss  0.853847, Average Loss  0.871754, Time  0.479464
2021-09-09 13:07:35.969065 : Epoch  5, Batch   2835, Loss  0.870458, Average Loss  0.871715, Time  0.397653
2021-09-09 13:07:37.827796 : Epoch  5, Batch   2836, Loss  0.854356, Average Loss  0.871649, Time  0.397907
2021-09-09 13:07:39.720103 : Epoch  5, Batch   2837, Loss  0.867186, Average Loss  0.871514, Time  0.397186
2021-09-09 13:07:41.702791 : Epoch  5, Batch   2838, Loss  0.878607, Average Loss  0.871505, Time  0.486204
2021-09-09 13:07:43.652809 : Epoch  5, Batch   2839, Loss  0.872534, Average Loss  0.871523, Time  0.482656
2021-09-09 13:07:45.535262 : Epoch  5, Batch   2840, Loss  0.857929, Average Loss  0.871480, Time  0.400301
2021-09-09 13:07:47.413971 : Epoch  5, Batch   2841, Loss  0.860991, Average Loss  0.871486, Time  0.400311
2021-09-09 13:07:49.318237 : Epoch  5, Batch   2842, Loss  0.870769, Average Loss  0.871492, Time  0.397566
2021-09-09 13:07:51.296066 : Epoch  5, Batch   2843, Loss  0.893435, Average Loss  0.871622, Time  0.487107
2021-09-09 13:07:53.257075 : Epoch  5, Batch   2844, Loss  0.888702, Average Loss  0.871663, Time  0.479841
2021-09-09 13:07:55.147001 : Epoch  5, Batch   2845, Loss  0.869327, Average Loss  0.871676, Time  0.398482
2021-09-09 13:07:57.018804 : Epoch  5, Batch   2846, Loss  0.871157, Average Loss  0.871747, Time  0.398747
2021-09-09 13:07:58.898274 : Epoch  5, Batch   2847, Loss  0.878313, Average Loss  0.871720, Time  0.396349
2021-09-09 13:08:00.873113 : Epoch  5, Batch   2848, Loss  0.888053, Average Loss  0.871805, Time  0.483529
2021-09-09 13:08:02.837068 : Epoch  5, Batch   2849, Loss  0.878655, Average Loss  0.871821, Time  0.483258
2021-09-09 13:08:04.692485 : Epoch  5, Batch   2850, Loss  0.849976, Average Loss  0.871645, Time  0.392907
2021-09-09 13:08:06.570428 : Epoch  5, Batch   2851, Loss  0.865950, Average Loss  0.871521, Time  0.396531
2021-09-09 13:08:08.452791 : Epoch  5, Batch   2852, Loss  0.877296, Average Loss  0.871537, Time  0.399637
2021-09-09 13:08:10.468915 : Epoch  5, Batch   2853, Loss  0.916854, Average Loss  0.871855, Time  0.484646
2021-09-09 13:08:12.428347 : Epoch  5, Batch   2854, Loss  0.868397, Average Loss  0.871833, Time  0.483613
2021-09-09 13:08:14.388807 : Epoch  5, Batch   2855, Loss  0.879435, Average Loss  0.871858, Time  0.481486
2021-09-09 13:08:16.266178 : Epoch  5, Batch   2856, Loss  0.880947, Average Loss  0.871857, Time  0.397287
2021-09-09 13:13:15.245721 : CheckPoint: Validation Loss  0.00062845, Best Loss  0.00056427
2021-09-09 13:13:17.206317 : Epoch  5, Batch   2857, Loss  0.848914, Average Loss  0.871814, Time  0.478137
2021-09-09 13:13:19.155796 : Epoch  5, Batch   2858, Loss  0.856126, Average Loss  0.871832, Time  0.481419
2021-09-09 13:13:21.029792 : Epoch  5, Batch   2859, Loss  0.876755, Average Loss  0.871945, Time  0.385221
2021-09-09 13:13:22.910801 : Epoch  5, Batch   2860, Loss  0.863719, Average Loss  0.871842, Time  0.396945
2021-09-09 13:13:24.792790 : Epoch  5, Batch   2861, Loss  0.849910, Average Loss  0.871713, Time  0.398067
2021-09-09 13:13:26.754964 : Epoch  5, Batch   2862, Loss  0.875899, Average Loss  0.871674, Time  0.477076
2021-09-09 13:13:28.706820 : Epoch  5, Batch   2863, Loss  0.881534, Average Loss  0.871709, Time  0.483872
2021-09-09 13:13:30.586800 : Epoch  5, Batch   2864, Loss  0.834271, Average Loss  0.871437, Time  0.377837
2021-09-09 13:13:32.480789 : Epoch  5, Batch   2865, Loss  0.873461, Average Loss  0.871559, Time  0.396933
2021-09-09 13:13:34.367787 : Epoch  5, Batch   2866, Loss  0.903856, Average Loss  0.871762, Time  0.397534
2021-09-09 13:13:36.330479 : Epoch  5, Batch   2867, Loss  0.881795, Average Loss  0.871909, Time  0.479408
2021-09-09 13:13:38.289832 : Epoch  5, Batch   2868, Loss  0.840129, Average Loss  0.871748, Time  0.485693
2021-09-09 13:13:40.239409 : Epoch  5, Batch   2869, Loss  0.869527, Average Loss  0.871704, Time  0.462472
2021-09-09 13:13:42.139947 : Epoch  5, Batch   2870, Loss  0.869381, Average Loss  0.871691, Time  0.400719
2021-09-09 13:13:44.024421 : Epoch  5, Batch   2871, Loss  0.847069, Average Loss  0.871459, Time  0.397168
2021-09-09 13:13:45.934408 : Epoch  5, Batch   2872, Loss  0.888196, Average Loss  0.871632, Time  0.416002
2021-09-09 13:13:47.909292 : Epoch  5, Batch   2873, Loss  0.860496, Average Loss  0.871578, Time  0.483052
2021-09-09 13:13:49.854796 : Epoch  5, Batch   2874, Loss  0.851147, Average Loss  0.871350, Time  0.469616
2021-09-09 13:13:51.747817 : Epoch  5, Batch   2875, Loss  0.847587, Average Loss  0.871146, Time  0.400089
2021-09-09 13:13:53.648784 : Epoch  5, Batch   2876, Loss  0.861221, Average Loss  0.871101, Time  0.396251
2021-09-09 13:13:55.552890 : Epoch  5, Batch   2877, Loss  0.881952, Average Loss  0.871130, Time  0.396171
2021-09-09 13:13:57.522804 : Epoch  5, Batch   2878, Loss  0.876505, Average Loss  0.871110, Time  0.486829
2021-09-09 13:13:59.493862 : Epoch  5, Batch   2879, Loss  0.886822, Average Loss  0.871179, Time  0.479042
2021-09-09 13:14:01.394965 : Epoch  5, Batch   2880, Loss  0.850118, Average Loss  0.870929, Time  0.400038
2021-09-09 13:14:03.287507 : Epoch  5, Batch   2881, Loss  0.856655, Average Loss  0.870795, Time  0.398546
2021-09-09 13:14:05.168804 : Epoch  5, Batch   2882, Loss  0.842726, Average Loss  0.870649, Time  0.396218
2021-09-09 13:14:07.132527 : Epoch  5, Batch   2883, Loss  0.880860, Average Loss  0.870765, Time  0.481960
2021-09-09 13:14:09.098806 : Epoch  5, Batch   2884, Loss  0.855694, Average Loss  0.870730, Time  0.477637
2021-09-09 13:14:10.987899 : Epoch  5, Batch   2885, Loss  0.826680, Average Loss  0.870502, Time  0.396875
2021-09-09 13:14:12.864798 : Epoch  5, Batch   2886, Loss  0.856500, Average Loss  0.870580, Time  0.397011
2021-09-09 13:14:14.766417 : Epoch  5, Batch   2887, Loss  0.835079, Average Loss  0.870371, Time  0.409439
2021-09-09 13:14:16.784622 : Epoch  5, Batch   2888, Loss  0.867155, Average Loss  0.870390, Time  0.481859
2021-09-09 13:14:18.746885 : Epoch  5, Batch   2889, Loss  0.844917, Average Loss  0.870456, Time  0.479476
2021-09-09 13:14:20.639496 : Epoch  5, Batch   2890, Loss  0.876221, Average Loss  0.870452, Time  0.398314
2021-09-09 13:14:22.524781 : Epoch  5, Batch   2891, Loss  0.879860, Average Loss  0.870530, Time  0.398691
2021-09-09 13:14:24.407617 : Epoch  5, Batch   2892, Loss  0.873462, Average Loss  0.870345, Time  0.400330
2021-09-09 13:14:26.384273 : Epoch  5, Batch   2893, Loss  0.884794, Average Loss  0.870406, Time  0.484180
2021-09-09 13:14:28.346815 : Epoch  5, Batch   2894, Loss  0.867529, Average Loss  0.870435, Time  0.475854
2021-09-09 13:14:30.231230 : Epoch  5, Batch   2895, Loss  0.860763, Average Loss  0.870275, Time  0.399394
2021-09-09 13:14:32.116789 : Epoch  5, Batch   2896, Loss  0.880037, Average Loss  0.870259, Time  0.396527
2021-09-09 13:14:34.014069 : Epoch  5, Batch   2897, Loss  0.869128, Average Loss  0.870288, Time  0.400980
2021-09-09 13:14:35.999934 : Epoch  5, Batch   2898, Loss  0.876779, Average Loss  0.870407, Time  0.485917
2021-09-09 13:14:37.970912 : Epoch  5, Batch   2899, Loss  0.871740, Average Loss  0.870468, Time  0.479483
2021-09-09 13:14:39.863967 : Epoch  5, Batch   2900, Loss  0.863462, Average Loss  0.870601, Time  0.397623
2021-09-09 13:14:41.717863 : Epoch  5, Batch   2901, Loss  0.878156, Average Loss  0.870672, Time  0.398712
2021-09-09 13:14:43.604828 : Epoch  5, Batch   2902, Loss  0.870210, Average Loss  0.870655, Time  0.395643
2021-09-09 13:14:45.595108 : Epoch  5, Batch   2903, Loss  0.854140, Average Loss  0.870593, Time  0.486245
2021-09-09 13:14:47.555811 : Epoch  5, Batch   2904, Loss  0.861233, Average Loss  0.870650, Time  0.478809
2021-09-09 13:14:49.451185 : Epoch  5, Batch   2905, Loss  0.841958, Average Loss  0.870437, Time  0.398494
2021-09-09 13:14:51.345292 : Epoch  5, Batch   2906, Loss  0.873202, Average Loss  0.870445, Time  0.398810
2021-09-09 13:14:53.210821 : Epoch  5, Batch   2907, Loss  0.855157, Average Loss  0.870474, Time  0.396556
2021-09-09 13:14:55.200784 : Epoch  5, Batch   2908, Loss  0.876323, Average Loss  0.870458, Time  0.487387
2021-09-09 13:14:57.166572 : Epoch  5, Batch   2909, Loss  0.887021, Average Loss  0.870525, Time  0.479254
2021-09-09 13:14:59.056996 : Epoch  5, Batch   2910, Loss  0.868786, Average Loss  0.870561, Time  0.400600
2021-09-09 13:15:00.945811 : Epoch  5, Batch   2911, Loss  0.867415, Average Loss  0.870445, Time  0.399801
2021-09-09 13:15:02.820455 : Epoch  5, Batch   2912, Loss  0.877241, Average Loss  0.870357, Time  0.398317
2021-09-09 13:15:04.795012 : Epoch  5, Batch   2913, Loss  0.838817, Average Loss  0.870270, Time  0.486241
2021-09-09 13:15:06.761794 : Epoch  5, Batch   2914, Loss  0.862777, Average Loss  0.870246, Time  0.479332
2021-09-09 13:15:08.642961 : Epoch  5, Batch   2915, Loss  0.874135, Average Loss  0.870358, Time  0.397306
2021-09-09 13:15:10.541562 : Epoch  5, Batch   2916, Loss  0.861632, Average Loss  0.870393, Time  0.399967
2021-09-09 13:15:12.425300 : Epoch  5, Batch   2917, Loss  0.873764, Average Loss  0.870438, Time  0.397593
2021-09-09 13:15:14.403808 : Epoch  5, Batch   2918, Loss  0.876554, Average Loss  0.870415, Time  0.486162
2021-09-09 13:15:16.382516 : Epoch  5, Batch   2919, Loss  0.864940, Average Loss  0.870468, Time  0.486479
2021-09-09 13:15:18.282826 : Epoch  5, Batch   2920, Loss  0.863360, Average Loss  0.870524, Time  0.383005
2021-09-09 13:15:20.179803 : Epoch  5, Batch   2921, Loss  0.840469, Average Loss  0.870467, Time  0.398118
2021-09-09 13:15:22.079789 : Epoch  5, Batch   2922, Loss  0.875869, Average Loss  0.870554, Time  0.396826
2021-09-09 13:15:24.022279 : Epoch  5, Batch   2923, Loss  0.875174, Average Loss  0.870606, Time  0.449788
2021-09-09 13:15:25.999790 : Epoch  5, Batch   2924, Loss  0.873214, Average Loss  0.870708, Time  0.485421
2021-09-09 13:15:27.931270 : Epoch  5, Batch   2925, Loss  0.859591, Average Loss  0.870559, Time  0.480076
2021-09-09 13:15:29.802785 : Epoch  5, Batch   2926, Loss  0.881856, Average Loss  0.870458, Time  0.398980
2021-09-09 13:15:31.693416 : Epoch  5, Batch   2927, Loss  0.846395, Average Loss  0.870298, Time  0.398352
2021-09-09 13:15:33.589790 : Epoch  5, Batch   2928, Loss  0.853652, Average Loss  0.870354, Time  0.396159
2021-09-09 13:15:35.524975 : Epoch  5, Batch   2929, Loss  0.866902, Average Loss  0.870245, Time  0.483043
2021-09-09 13:15:37.459834 : Epoch  5, Batch   2930, Loss  0.858894, Average Loss  0.870176, Time  0.479614
2021-09-09 13:15:39.346801 : Epoch  5, Batch   2931, Loss  0.886620, Average Loss  0.870318, Time  0.396717
2021-09-09 13:15:41.237931 : Epoch  5, Batch   2932, Loss  0.856338, Average Loss  0.870240, Time  0.398137
2021-09-09 13:15:43.121786 : Epoch  5, Batch   2933, Loss  0.862164, Average Loss  0.870087, Time  0.397494
2021-09-09 13:15:45.104785 : Epoch  5, Batch   2934, Loss  0.858405, Average Loss  0.869989, Time  0.487260
2021-09-09 13:15:47.070812 : Epoch  5, Batch   2935, Loss  0.846950, Average Loss  0.869855, Time  0.478549
2021-09-09 13:15:48.930852 : Epoch  5, Batch   2936, Loss  0.835336, Average Loss  0.869613, Time  0.398478
2021-09-09 13:15:50.812411 : Epoch  5, Batch   2937, Loss  0.874437, Average Loss  0.869648, Time  0.397348
2021-09-09 13:15:52.687852 : Epoch  5, Batch   2938, Loss  0.861442, Average Loss  0.869472, Time  0.397582
2021-09-09 13:15:54.617484 : Epoch  5, Batch   2939, Loss  0.825739, Average Loss  0.869257, Time  0.480006
2021-09-09 13:15:56.425532 : Epoch  5, Batch   2940, Loss  0.864259, Average Loss  0.869112, Time  0.380173
2021-09-09 13:15:58.221231 : Epoch  5, Batch   2941, Loss  0.865792, Average Loss  0.869113, Time  0.364845
2021-09-09 13:16:00.037208 : Epoch  5, Batch   2942, Loss  0.860804, Average Loss  0.869121, Time  0.359816
2021-09-09 13:16:02.006531 : Epoch  5, Batch   2943, Loss  0.894864, Average Loss  0.869478, Time  0.486889
2021-09-09 13:16:03.979518 : Epoch  5, Batch   2944, Loss  0.861123, Average Loss  0.869279, Time  0.478961
2021-09-09 13:16:05.871925 : Epoch  5, Batch   2945, Loss  0.857465, Average Loss  0.869156, Time  0.396670
2021-09-09 13:16:07.757931 : Epoch  5, Batch   2946, Loss  0.890555, Average Loss  0.869368, Time  0.398546
2021-09-09 13:16:09.649079 : Epoch  5, Batch   2947, Loss  0.845455, Average Loss  0.869310, Time  0.399273
2021-09-09 13:16:11.613263 : Epoch  5, Batch   2948, Loss  0.879747, Average Loss  0.869267, Time  0.484243
2021-09-09 13:16:13.582294 : Epoch  5, Batch   2949, Loss  0.872281, Average Loss  0.869347, Time  0.479882
2021-09-09 13:16:15.467618 : Epoch  5, Batch   2950, Loss  0.839550, Average Loss  0.869296, Time  0.396587
2021-09-09 13:16:17.357884 : Epoch  5, Batch   2951, Loss  0.861483, Average Loss  0.869263, Time  0.397602
2021-09-09 13:16:19.279500 : Epoch  5, Batch   2952, Loss  0.887267, Average Loss  0.869365, Time  0.398480
2021-09-09 13:16:21.245301 : Epoch  5, Batch   2953, Loss  0.897271, Average Loss  0.869416, Time  0.488817
2021-09-09 13:16:23.213821 : Epoch  5, Batch   2954, Loss  0.894818, Average Loss  0.869484, Time  0.482087
2021-09-09 13:16:25.088585 : Epoch  5, Batch   2955, Loss  0.861872, Average Loss  0.869422, Time  0.376979
2021-09-09 13:16:26.970786 : Epoch  5, Batch   2956, Loss  0.895670, Average Loss  0.869567, Time  0.397335
2021-09-09 13:21:26.013813 : CheckPoint: Validation Loss  0.00058719, Best Loss  0.00056427
2021-09-09 13:21:27.818803 : Epoch  5, Batch   2957, Loss  0.853107, Average Loss  0.869354, Time  0.366548
2021-09-09 13:21:29.695842 : Epoch  5, Batch   2958, Loss  0.866358, Average Loss  0.869319, Time  0.388138
2021-09-09 13:21:31.605215 : Epoch  5, Batch   2959, Loss  0.868816, Average Loss  0.869318, Time  0.454448
2021-09-09 13:21:33.518816 : Epoch  5, Batch   2960, Loss  0.848444, Average Loss  0.869177, Time  0.459342
2021-09-09 13:21:35.341172 : Epoch  5, Batch   2961, Loss  0.874160, Average Loss  0.869210, Time  0.366155
2021-09-09 13:21:37.221202 : Epoch  5, Batch   2962, Loss  0.866365, Average Loss  0.869138, Time  0.396894
2021-09-09 13:21:39.114845 : Epoch  5, Batch   2963, Loss  0.867519, Average Loss  0.869184, Time  0.413323
2021-09-09 13:21:41.085956 : Epoch  5, Batch   2964, Loss  0.863860, Average Loss  0.868993, Time  0.485193
2021-09-09 13:21:43.030775 : Epoch  5, Batch   2965, Loss  0.867267, Average Loss  0.868963, Time  0.457037
2021-09-09 13:21:44.925978 : Epoch  5, Batch   2966, Loss  0.850986, Average Loss  0.868799, Time  0.402134
2021-09-09 13:21:46.858932 : Epoch  5, Batch   2967, Loss  0.890529, Average Loss  0.868741, Time  0.396995
2021-09-09 13:21:48.797488 : Epoch  5, Batch   2968, Loss  0.883723, Average Loss  0.868722, Time  0.422008
2021-09-09 13:21:50.778005 : Epoch  5, Batch   2969, Loss  0.880284, Average Loss  0.868832, Time  0.486153
2021-09-09 13:21:52.763796 : Epoch  5, Batch   2970, Loss  0.880781, Average Loss  0.868855, Time  0.480758
2021-09-09 13:21:54.656838 : Epoch  5, Batch   2971, Loss  0.841242, Average Loss  0.868627, Time  0.385869
2021-09-09 13:21:56.546778 : Epoch  5, Batch   2972, Loss  0.849526, Average Loss  0.868439, Time  0.398395
2021-09-09 13:21:58.442897 : Epoch  5, Batch   2973, Loss  0.864766, Average Loss  0.868404, Time  0.396440
2021-09-09 13:22:00.402794 : Epoch  5, Batch   2974, Loss  0.856095, Average Loss  0.868430, Time  0.456621
2021-09-09 13:22:02.403258 : Epoch  5, Batch   2975, Loss  0.855710, Average Loss  0.868311, Time  0.486392
2021-09-09 13:22:04.376800 : Epoch  5, Batch   2976, Loss  0.887022, Average Loss  0.868412, Time  0.480511
2021-09-09 13:22:06.271558 : Epoch  5, Batch   2977, Loss  0.891648, Average Loss  0.868582, Time  0.398874
2021-09-09 13:22:08.154805 : Epoch  5, Batch   2978, Loss  0.844412, Average Loss  0.868476, Time  0.396122
2021-09-09 13:22:10.034944 : Epoch  5, Batch   2979, Loss  0.839751, Average Loss  0.868386, Time  0.398214
2021-09-09 13:22:11.999209 : Epoch  5, Batch   2980, Loss  0.857797, Average Loss  0.868225, Time  0.486834
2021-09-09 13:22:13.960865 : Epoch  5, Batch   2981, Loss  0.891676, Average Loss  0.868239, Time  0.484460
2021-09-09 13:22:15.892814 : Epoch  5, Batch   2982, Loss  0.875376, Average Loss  0.868103, Time  0.449586
2021-09-09 13:22:17.793941 : Epoch  5, Batch   2983, Loss  0.858708, Average Loss  0.868001, Time  0.402478
2021-09-09 13:22:19.671143 : Epoch  5, Batch   2984, Loss  0.851018, Average Loss  0.867836, Time  0.396789
2021-09-09 13:22:21.564789 : Epoch  5, Batch   2985, Loss  0.866645, Average Loss  0.867762, Time  0.413333
2021-09-09 13:22:23.539855 : Epoch  5, Batch   2986, Loss  0.848358, Average Loss  0.867705, Time  0.484409
2021-09-09 13:22:25.514800 : Epoch  5, Batch   2987, Loss  0.863692, Average Loss  0.867626, Time  0.481222
2021-09-09 13:22:27.437376 : Epoch  5, Batch   2988, Loss  0.894232, Average Loss  0.867805, Time  0.396495
2021-09-09 13:22:29.326781 : Epoch  5, Batch   2989, Loss  0.872907, Average Loss  0.867785, Time  0.397221
2021-09-09 13:22:31.210792 : Epoch  5, Batch   2990, Loss  0.834837, Average Loss  0.867579, Time  0.397279
2021-09-09 13:22:33.166303 : Epoch  5, Batch   2991, Loss  0.858169, Average Loss  0.867440, Time  0.488811
2021-09-09 13:22:35.149190 : Epoch  5, Batch   2992, Loss  0.880629, Average Loss  0.867576, Time  0.484249
2021-09-09 13:22:37.100791 : Epoch  5, Batch   2993, Loss  0.840803, Average Loss  0.867449, Time  0.450971
2021-09-09 13:22:38.980263 : Epoch  5, Batch   2994, Loss  0.869312, Average Loss  0.867314, Time  0.400151
2021-09-09 13:22:40.853577 : Epoch  5, Batch   2995, Loss  0.902284, Average Loss  0.867636, Time  0.398792
2021-09-09 13:22:42.742831 : Epoch  5, Batch   2996, Loss  0.867100, Average Loss  0.867659, Time  0.415686
2021-09-09 13:22:44.704806 : Epoch  5, Batch   2997, Loss  0.892082, Average Loss  0.867844, Time  0.487937
2021-09-09 13:22:46.709073 : Epoch  5, Batch   2998, Loss  0.911962, Average Loss  0.868057, Time  0.483637
2021-09-09 13:22:48.581921 : Epoch  5, Batch   2999, Loss  0.861708, Average Loss  0.868078, Time  0.394814
2021-09-09 13:22:50.477286 : Epoch  5, Batch   3000, Loss  0.888992, Average Loss  0.868156, Time  0.396832
2021-09-09 13:22:52.374230 : Epoch  5, Batch   3001, Loss  0.886518, Average Loss  0.868166, Time  0.398788
2021-09-09 13:22:54.347911 : Epoch  5, Batch   3002, Loss  0.851065, Average Loss  0.868018, Time  0.482916
2021-09-09 13:22:56.334558 : Epoch  5, Batch   3003, Loss  0.868731, Average Loss  0.867967, Time  0.486340
2021-09-09 13:22:58.302812 : Epoch  5, Batch   3004, Loss  0.878263, Average Loss  0.867984, Time  0.481129
2021-09-09 13:23:00.191524 : Epoch  5, Batch   3005, Loss  0.884352, Average Loss  0.868148, Time  0.398303
2021-09-09 13:23:02.070265 : Epoch  5, Batch   3006, Loss  0.866362, Average Loss  0.868070, Time  0.400213
2021-09-09 13:23:03.953219 : Epoch  5, Batch   3007, Loss  0.857155, Average Loss  0.867881, Time  0.395835
2021-09-09 13:23:05.920116 : Epoch  5, Batch   3008, Loss  0.842258, Average Loss  0.867702, Time  0.484306
2021-09-09 13:23:07.885289 : Epoch  5, Batch   3009, Loss  0.864695, Average Loss  0.867637, Time  0.480210
2021-09-09 13:23:09.781173 : Epoch  5, Batch   3010, Loss  0.825194, Average Loss  0.867393, Time  0.397835
2021-09-09 13:23:11.654061 : Epoch  5, Batch   3011, Loss  0.843000, Average Loss  0.867212, Time  0.399048
2021-09-09 13:23:13.504086 : Epoch  5, Batch   3012, Loss  0.850875, Average Loss  0.867063, Time  0.398091
2021-09-09 13:23:15.485145 : Epoch  5, Batch   3013, Loss  0.848693, Average Loss  0.866975, Time  0.488106
2021-09-09 13:23:17.431279 : Epoch  5, Batch   3014, Loss  0.860043, Average Loss  0.867018, Time  0.481721
2021-09-09 13:23:19.335626 : Epoch  5, Batch   3015, Loss  0.871440, Average Loss  0.867266, Time  0.398621
2021-09-09 13:23:21.249310 : Epoch  5, Batch   3016, Loss  0.900142, Average Loss  0.867412, Time  0.398387
2021-09-09 13:23:23.139240 : Epoch  5, Batch   3017, Loss  0.863221, Average Loss  0.867326, Time  0.397416
2021-09-09 13:23:25.095023 : Epoch  5, Batch   3018, Loss  0.880988, Average Loss  0.867374, Time  0.486437
2021-09-09 13:23:27.091229 : Epoch  5, Batch   3019, Loss  0.869250, Average Loss  0.867334, Time  0.488265
2021-09-09 13:23:29.062854 : Epoch  5, Batch   3020, Loss  0.915763, Average Loss  0.867505, Time  0.459236
2021-09-09 13:23:30.933031 : Epoch  5, Batch   3021, Loss  0.887492, Average Loss  0.867578, Time  0.400975
2021-09-09 13:23:32.794328 : Epoch  5, Batch   3022, Loss  0.852199, Average Loss  0.867546, Time  0.398137
2021-09-09 13:23:34.685892 : Epoch  5, Batch   3023, Loss  0.849372, Average Loss  0.867511, Time  0.415790
2021-09-09 13:23:36.635799 : Epoch  5, Batch   3024, Loss  0.884108, Average Loss  0.867515, Time  0.488357
2021-09-09 13:23:38.625561 : Epoch  5, Batch   3025, Loss  0.874787, Average Loss  0.867605, Time  0.479190
2021-09-09 13:23:40.498253 : Epoch  5, Batch   3026, Loss  0.885351, Average Loss  0.867607, Time  0.401476
2021-09-09 13:23:42.384224 : Epoch  5, Batch   3027, Loss  0.868126, Average Loss  0.867588, Time  0.397444
2021-09-09 13:23:44.282037 : Epoch  5, Batch   3028, Loss  0.909336, Average Loss  0.867702, Time  0.397383
2021-09-09 13:23:46.241376 : Epoch  5, Batch   3029, Loss  0.874230, Average Loss  0.867660, Time  0.486210
2021-09-09 13:23:48.179413 : Epoch  5, Batch   3030, Loss  0.883304, Average Loss  0.867689, Time  0.479625
2021-09-09 13:23:50.112025 : Epoch  5, Batch   3031, Loss  0.858678, Average Loss  0.867567, Time  0.399179
2021-09-09 13:23:52.022039 : Epoch  5, Batch   3032, Loss  0.878553, Average Loss  0.867560, Time  0.398976
2021-09-09 13:23:53.908805 : Epoch  5, Batch   3033, Loss  0.873080, Average Loss  0.867617, Time  0.397670
2021-09-09 13:23:55.922168 : Epoch  5, Batch   3034, Loss  0.829837, Average Loss  0.867497, Time  0.487750
2021-09-09 13:23:57.902174 : Epoch  5, Batch   3035, Loss  0.870165, Average Loss  0.867496, Time  0.483988
2021-09-09 13:23:59.852487 : Epoch  5, Batch   3036, Loss  0.850823, Average Loss  0.867478, Time  0.477197
2021-09-09 13:24:01.725280 : Epoch  5, Batch   3037, Loss  0.842628, Average Loss  0.867355, Time  0.399403
2021-09-09 13:24:03.621785 : Epoch  5, Batch   3038, Loss  0.860870, Average Loss  0.867267, Time  0.399054
2021-09-09 13:24:05.535435 : Epoch  5, Batch   3039, Loss  0.861348, Average Loss  0.867211, Time  0.360006
2021-09-09 13:24:07.425251 : Epoch  5, Batch   3040, Loss  0.883387, Average Loss  0.867338, Time  0.449528
2021-09-09 13:24:09.209520 : Epoch  5, Batch   3041, Loss  0.839683, Average Loss  0.867231, Time  0.351830
2021-09-09 13:24:11.005778 : Epoch  5, Batch   3042, Loss  0.859604, Average Loss  0.867176, Time  0.358516
2021-09-09 13:24:12.807387 : Epoch  5, Batch   3043, Loss  0.851481, Average Loss  0.866966, Time  0.363659
2021-09-09 13:24:14.712080 : Epoch  5, Batch   3044, Loss  0.840786, Average Loss  0.866726, Time  0.451475
2021-09-09 13:24:16.486784 : Epoch  5, Batch   3045, Loss  0.897797, Average Loss  0.866869, Time  0.358367
2021-09-09 13:24:18.286775 : Epoch  5, Batch   3046, Loss  0.826906, Average Loss  0.866647, Time  0.357291
2021-09-09 13:24:20.108139 : Epoch  5, Batch   3047, Loss  0.883780, Average Loss  0.866675, Time  0.369425
2021-09-09 13:24:22.038795 : Epoch  5, Batch   3048, Loss  0.860411, Average Loss  0.866536, Time  0.452541
2021-09-09 13:24:23.940513 : Epoch  5, Batch   3049, Loss  0.881838, Average Loss  0.866552, Time  0.411604
2021-09-09 13:24:25.726244 : Epoch  5, Batch   3050, Loss  0.869579, Average Loss  0.866650, Time  0.357142
2021-09-09 13:24:27.535040 : Epoch  5, Batch   3051, Loss  0.868017, Average Loss  0.866661, Time  0.359404
2021-09-09 13:24:29.421028 : Epoch  5, Batch   3052, Loss  0.845649, Average Loss  0.866502, Time  0.423890
2021-09-09 13:24:31.367575 : Epoch  5, Batch   3053, Loss  0.867413, Average Loss  0.866255, Time  0.450187
2021-09-09 13:24:33.201122 : Epoch  5, Batch   3054, Loss  0.874811, Average Loss  0.866287, Time  0.416425
2021-09-09 13:24:34.994156 : Epoch  5, Batch   3055, Loss  0.862314, Average Loss  0.866202, Time  0.357880
2021-09-09 13:24:36.801917 : Epoch  5, Batch   3056, Loss  0.890468, Average Loss  0.866249, Time  0.359658
2021-09-09 13:29:27.928722 : CheckPoint: Validation Loss  0.00061128, Best Loss  0.00056427
2021-09-09 13:29:29.837131 : Epoch  5, Batch   3057, Loss  0.849137, Average Loss  0.866250, Time  0.454868
2021-09-09 13:29:31.787804 : Epoch  5, Batch   3058, Loss  0.829868, Average Loss  0.866119, Time  0.495735
2021-09-09 13:29:33.635807 : Epoch  5, Batch   3059, Loss  0.868327, Average Loss  0.866077, Time  0.379580
2021-09-09 13:29:35.460801 : Epoch  5, Batch   3060, Loss  0.862699, Average Loss  0.866072, Time  0.384860
2021-09-09 13:29:37.356406 : Epoch  5, Batch   3061, Loss  0.872930, Average Loss  0.866187, Time  0.452900
2021-09-09 13:29:39.300207 : Epoch  5, Batch   3062, Loss  0.865126, Average Loss  0.866133, Time  0.479584
2021-09-09 13:29:41.135789 : Epoch  5, Batch   3063, Loss  0.846359, Average Loss  0.865957, Time  0.388649
2021-09-09 13:29:42.973780 : Epoch  5, Batch   3064, Loss  0.854193, Average Loss  0.866057, Time  0.377605
2021-09-09 13:29:44.901259 : Epoch  5, Batch   3065, Loss  0.821569, Average Loss  0.865797, Time  0.496915
2021-09-09 13:29:46.823249 : Epoch  5, Batch   3066, Loss  0.859375, Average Loss  0.865575, Time  0.448223
2021-09-09 13:29:48.658828 : Epoch  5, Batch   3067, Loss  0.886723, Average Loss  0.865600, Time  0.385509
2021-09-09 13:29:50.473797 : Epoch  5, Batch   3068, Loss  0.855990, Average Loss  0.865679, Time  0.380132
2021-09-09 13:29:52.400024 : Epoch  5, Batch   3069, Loss  0.886773, Average Loss  0.865765, Time  0.493796
2021-09-09 13:29:54.253440 : Epoch  5, Batch   3070, Loss  0.893135, Average Loss  0.865884, Time  0.392893
2021-09-09 13:29:56.048779 : Epoch  5, Batch   3071, Loss  0.873348, Average Loss  0.866015, Time  0.364763
2021-09-09 13:29:57.954808 : Epoch  5, Batch   3072, Loss  0.866732, Average Loss  0.865908, Time  0.438603
2021-09-09 13:29:59.914840 : Epoch  5, Batch   3073, Loss  0.856713, Average Loss  0.865889, Time  0.500454
2021-09-09 13:30:01.753836 : Epoch  5, Batch   3074, Loss  0.846301, Average Loss  0.865865, Time  0.392437
2021-09-09 13:30:03.599772 : Epoch  5, Batch   3075, Loss  0.834027, Average Loss  0.865797, Time  0.395623
2021-09-09 13:30:05.530780 : Epoch  5, Batch   3076, Loss  0.895299, Average Loss  0.865967, Time  0.473164
2021-09-09 13:30:07.487816 : Epoch  5, Batch   3077, Loss  0.853209, Average Loss  0.865824, Time  0.495014
2021-09-09 13:30:09.320785 : Epoch  5, Batch   3078, Loss  0.839876, Average Loss  0.865641, Time  0.362651
2021-09-09 13:30:11.167777 : Epoch  5, Batch   3079, Loss  0.894285, Average Loss  0.865678, Time  0.392892
2021-09-09 13:30:13.114786 : Epoch  5, Batch   3080, Loss  0.855091, Average Loss  0.865703, Time  0.485458
2021-09-09 13:30:15.039786 : Epoch  5, Batch   3081, Loss  0.852311, Average Loss  0.865681, Time  0.478919
2021-09-09 13:30:16.873809 : Epoch  5, Batch   3082, Loss  0.884575, Average Loss  0.865890, Time  0.389839
2021-09-09 13:30:18.720776 : Epoch  5, Batch   3083, Loss  0.874296, Average Loss  0.865857, Time  0.394982
2021-09-09 13:30:20.672790 : Epoch  5, Batch   3084, Loss  0.880139, Average Loss  0.865980, Time  0.496583
2021-09-09 13:30:22.521849 : Epoch  5, Batch   3085, Loss  0.879733, Average Loss  0.866245, Time  0.393811
2021-09-09 13:30:24.356947 : Epoch  5, Batch   3086, Loss  0.899883, Average Loss  0.866462, Time  0.381301
2021-09-09 13:30:26.221776 : Epoch  5, Batch   3087, Loss  0.853339, Average Loss  0.866553, Time  0.393459
2021-09-09 13:30:28.135834 : Epoch  5, Batch   3088, Loss  0.865558, Average Loss  0.866545, Time  0.464128
2021-09-09 13:30:29.955776 : Epoch  5, Batch   3089, Loss  0.863018, Average Loss  0.866636, Time  0.372778
2021-09-09 13:30:31.804225 : Epoch  5, Batch   3090, Loss  0.881141, Average Loss  0.866660, Time  0.392376
2021-09-09 13:30:33.738795 : Epoch  5, Batch   3091, Loss  0.858030, Average Loss  0.866551, Time  0.468695
2021-09-09 13:30:35.734780 : Epoch  5, Batch   3092, Loss  0.903143, Average Loss  0.866700, Time  0.497288
2021-09-09 13:30:37.608860 : Epoch  5, Batch   3093, Loss  0.858835, Average Loss  0.866570, Time  0.409567
2021-09-09 13:30:39.454771 : Epoch  5, Batch   3094, Loss  0.854455, Average Loss  0.866504, Time  0.383275
2021-09-09 13:30:41.365775 : Epoch  5, Batch   3095, Loss  0.889426, Average Loss  0.866648, Time  0.447772
2021-09-09 13:30:43.324800 : Epoch  5, Batch   3096, Loss  0.889989, Average Loss  0.866697, Time  0.504204
2021-09-09 13:30:45.195771 : Epoch  5, Batch   3097, Loss  0.869793, Average Loss  0.866701, Time  0.376384
2021-09-09 13:30:47.062774 : Epoch  5, Batch   3098, Loss  0.878917, Average Loss  0.866711, Time  0.395590
2021-09-09 13:30:48.992770 : Epoch  5, Batch   3099, Loss  0.855708, Average Loss  0.866631, Time  0.471834
2021-09-09 13:30:50.982833 : Epoch  5, Batch   3100, Loss  0.854836, Average Loss  0.866588, Time  0.495150
2021-09-09 13:30:52.847811 : Epoch  5, Batch   3101, Loss  0.882353, Average Loss  0.866609, Time  0.413962
2021-09-09 13:30:54.679800 : Epoch  5, Batch   3102, Loss  0.851211, Average Loss  0.866514, Time  0.388111
2021-09-09 13:30:56.697872 : Epoch  5, Batch   3103, Loss  0.861820, Average Loss  0.866553, Time  0.529260
2021-09-09 13:30:58.725802 : Epoch  5, Batch   3104, Loss  0.859833, Average Loss  0.866546, Time  0.477628
2021-09-09 13:31:00.533800 : Epoch  5, Batch   3105, Loss  0.870165, Average Loss  0.866687, Time  0.367919
2021-09-09 13:31:02.358184 : Epoch  5, Batch   3106, Loss  0.857313, Average Loss  0.866607, Time  0.378958
2021-09-09 13:31:04.319901 : Epoch  5, Batch   3107, Loss  0.852907, Average Loss  0.866596, Time  0.499034
2021-09-09 13:31:06.291802 : Epoch  5, Batch   3108, Loss  0.868446, Average Loss  0.866556, Time  0.503063
2021-09-09 13:31:08.116803 : Epoch  5, Batch   3109, Loss  0.848873, Average Loss  0.866366, Time  0.370292
2021-09-09 13:31:09.965872 : Epoch  5, Batch   3110, Loss  0.894853, Average Loss  0.866496, Time  0.388155
2021-09-09 13:31:11.915837 : Epoch  5, Batch   3111, Loss  0.866173, Average Loss  0.866490, Time  0.477398
2021-09-09 13:31:13.873784 : Epoch  5, Batch   3112, Loss  0.848101, Average Loss  0.866344, Time  0.492674
2021-09-09 13:31:15.729311 : Epoch  5, Batch   3113, Loss  0.852868, Average Loss  0.866414, Time  0.395444
2021-09-09 13:31:17.584806 : Epoch  5, Batch   3114, Loss  0.868284, Average Loss  0.866442, Time  0.392549
2021-09-09 13:31:19.522809 : Epoch  5, Batch   3115, Loss  0.865079, Average Loss  0.866397, Time  0.474204
2021-09-09 13:31:21.482807 : Epoch  5, Batch   3116, Loss  0.897118, Average Loss  0.866574, Time  0.500020
2021-09-09 13:31:23.311821 : Epoch  5, Batch   3117, Loss  0.847686, Average Loss  0.866444, Time  0.381033
2021-09-09 13:31:25.120802 : Epoch  5, Batch   3118, Loss  0.860337, Average Loss  0.866363, Time  0.362289
2021-09-09 13:31:27.079866 : Epoch  5, Batch   3119, Loss  0.838712, Average Loss  0.866231, Time  0.509960
2021-09-09 13:31:29.092801 : Epoch  5, Batch   3120, Loss  0.861574, Average Loss  0.866223, Time  0.517730
2021-09-09 13:31:30.937786 : Epoch  5, Batch   3121, Loss  0.903123, Average Loss  0.866536, Time  0.376571
2021-09-09 13:31:32.765908 : Epoch  5, Batch   3122, Loss  0.869650, Average Loss  0.866505, Time  0.385393
2021-09-09 13:31:34.712818 : Epoch  5, Batch   3123, Loss  0.880208, Average Loss  0.866530, Time  0.496858
2021-09-09 13:31:36.630775 : Epoch  5, Batch   3124, Loss  0.861760, Average Loss  0.866473, Time  0.451791
2021-09-09 13:31:38.496774 : Epoch  5, Batch   3125, Loss  0.862042, Average Loss  0.866485, Time  0.396411
2021-09-09 13:31:40.328776 : Epoch  5, Batch   3126, Loss  0.856331, Average Loss  0.866357, Time  0.369357
2021-09-09 13:31:42.299374 : Epoch  5, Batch   3127, Loss  0.848537, Average Loss  0.866368, Time  0.507154
2021-09-09 13:31:44.265936 : Epoch  5, Batch   3128, Loss  0.852803, Average Loss  0.866364, Time  0.482345
2021-09-09 13:31:46.113775 : Epoch  5, Batch   3129, Loss  0.872180, Average Loss  0.866390, Time  0.390386
2021-09-09 13:31:47.957777 : Epoch  5, Batch   3130, Loss  0.860346, Average Loss  0.866397, Time  0.392654
2021-09-09 13:31:49.922910 : Epoch  5, Batch   3131, Loss  0.880816, Average Loss  0.866368, Time  0.495853
2021-09-09 13:31:51.843783 : Epoch  5, Batch   3132, Loss  0.869642, Average Loss  0.866435, Time  0.463592
2021-09-09 13:31:53.663948 : Epoch  5, Batch   3133, Loss  0.855971, Average Loss  0.866404, Time  0.369022
2021-09-09 13:31:55.512774 : Epoch  5, Batch   3134, Loss  0.852762, Average Loss  0.866376, Time  0.394458
2021-09-09 13:31:57.436563 : Epoch  5, Batch   3135, Loss  0.855812, Average Loss  0.866420, Time  0.472650
2021-09-09 13:31:59.402038 : Epoch  5, Batch   3136, Loss  0.873110, Average Loss  0.866609, Time  0.516918
2021-09-09 13:32:01.216097 : Epoch  5, Batch   3137, Loss  0.875019, Average Loss  0.866612, Time  0.394892
2021-09-09 13:32:03.188293 : Epoch  5, Batch   3138, Loss  0.882468, Average Loss  0.866717, Time  0.403200
2021-09-09 13:32:05.161879 : Epoch  5, Batch   3139, Loss  0.868756, Average Loss  0.866932, Time  0.493923
2021-09-09 13:32:07.180134 : Epoch  5, Batch   3140, Loss  0.851899, Average Loss  0.866870, Time  0.523204
2021-09-09 13:32:08.992802 : Epoch  5, Batch   3141, Loss  0.879320, Average Loss  0.866938, Time  0.395485
2021-09-09 13:32:10.880792 : Epoch  5, Batch   3142, Loss  0.854079, Average Loss  0.866904, Time  0.393131
2021-09-09 13:32:12.776773 : Epoch  5, Batch   3143, Loss  0.839552, Average Loss  0.866628, Time  0.431768
2021-09-09 13:32:14.704264 : Epoch  5, Batch   3144, Loss  0.880764, Average Loss  0.866726, Time  0.471232
2021-09-09 13:32:16.610825 : Epoch  5, Batch   3145, Loss  0.857168, Average Loss  0.866724, Time  0.415293
2021-09-09 13:32:18.479159 : Epoch  5, Batch   3146, Loss  0.873051, Average Loss  0.866637, Time  0.392200
2021-09-09 13:32:20.386832 : Epoch  5, Batch   3147, Loss  0.848684, Average Loss  0.866653, Time  0.443244
2021-09-09 13:32:22.333235 : Epoch  5, Batch   3148, Loss  0.876701, Average Loss  0.866638, Time  0.465066
2021-09-09 13:32:24.161332 : Epoch  5, Batch   3149, Loss  0.875863, Average Loss  0.866656, Time  0.394680
2021-09-09 13:32:25.994445 : Epoch  5, Batch   3150, Loss  0.893195, Average Loss  0.866924, Time  0.395409
2021-09-09 13:32:27.924820 : Epoch  5, Batch   3151, Loss  0.910719, Average Loss  0.867170, Time  0.461395
2021-09-09 13:32:29.903300 : Epoch  5, Batch   3152, Loss  0.842834, Average Loss  0.866948, Time  0.493510
2021-09-09 13:32:31.752956 : Epoch  5, Batch   3153, Loss  0.857839, Average Loss  0.866751, Time  0.359611
2021-09-09 13:32:33.590011 : Epoch  5, Batch   3154, Loss  0.854146, Average Loss  0.866547, Time  0.392863
2021-09-09 13:32:35.522248 : Epoch  5, Batch   3155, Loss  0.873254, Average Loss  0.866604, Time  0.468678
2021-09-09 13:32:42.891803 : Epoch  5, Batch   3156, Loss  0.864796, Average Loss  0.866450, Time  0.403709
2021-09-09 13:37:34.953742 : CheckPoint: Validation Loss  0.00061996, Best Loss  0.00056427
2021-09-09 13:37:36.877090 : Epoch  5, Batch   3157, Loss  0.845408, Average Loss  0.866411, Time  0.475194
2021-09-09 13:37:38.892800 : Epoch  5, Batch   3158, Loss  0.887141, Average Loss  0.866515, Time  0.515959
2021-09-09 13:37:40.816941 : Epoch  5, Batch   3159, Loss  0.848989, Average Loss  0.866416, Time  0.428421
2021-09-09 13:37:42.745821 : Epoch  5, Batch   3160, Loss  0.823316, Average Loss  0.866291, Time  0.434722
2021-09-09 13:37:44.720301 : Epoch  5, Batch   3161, Loss  0.877340, Average Loss  0.866306, Time  0.474790
2021-09-09 13:37:46.752293 : Epoch  5, Batch   3162, Loss  0.867188, Average Loss  0.866311, Time  0.532471
2021-09-09 13:37:48.668821 : Epoch  5, Batch   3163, Loss  0.870769, Average Loss  0.866327, Time  0.417552
2021-09-09 13:37:50.599813 : Epoch  5, Batch   3164, Loss  0.860571, Average Loss  0.866310, Time  0.433418
2021-09-09 13:37:52.565548 : Epoch  5, Batch   3165, Loss  0.875309, Average Loss  0.866351, Time  0.456960
2021-09-09 13:37:54.408363 : Epoch  5, Batch   3166, Loss  0.868085, Average Loss  0.866436, Time  0.393429
2021-09-09 13:37:56.248069 : Epoch  5, Batch   3167, Loss  0.889412, Average Loss  0.866431, Time  0.377495
2021-09-09 13:37:58.177774 : Epoch  5, Batch   3168, Loss  0.869401, Average Loss  0.866359, Time  0.481416
2021-09-09 13:38:00.136777 : Epoch  5, Batch   3169, Loss  0.869826, Average Loss  0.866307, Time  0.500906
2021-09-09 13:38:01.997780 : Epoch  5, Batch   3170, Loss  0.861762, Average Loss  0.866212, Time  0.393852
2021-09-09 13:38:03.849805 : Epoch  5, Batch   3171, Loss  0.873171, Average Loss  0.866371, Time  0.385209
2021-09-09 13:38:05.778779 : Epoch  5, Batch   3172, Loss  0.887328, Average Loss  0.866560, Time  0.462437
2021-09-09 13:38:07.716513 : Epoch  5, Batch   3173, Loss  0.904236, Average Loss  0.866758, Time  0.479653
2021-09-09 13:38:09.593830 : Epoch  5, Batch   3174, Loss  0.845592, Average Loss  0.866705, Time  0.398096
2021-09-09 13:38:11.416840 : Epoch  5, Batch   3175, Loss  0.854993, Average Loss  0.866701, Time  0.367529
2021-09-09 13:38:13.299793 : Epoch  5, Batch   3176, Loss  0.853286, Average Loss  0.866533, Time  0.445969
2021-09-09 13:38:15.219907 : Epoch  5, Batch   3177, Loss  0.865916, Average Loss  0.866404, Time  0.479309
2021-09-09 13:38:17.080802 : Epoch  5, Batch   3178, Loss  0.854593, Average Loss  0.866455, Time  0.389758
2021-09-09 13:38:18.929802 : Epoch  5, Batch   3179, Loss  0.857870, Average Loss  0.866546, Time  0.385089
2021-09-09 13:38:20.890928 : Epoch  5, Batch   3180, Loss  0.861453, Average Loss  0.866564, Time  0.508426
2021-09-09 13:38:22.869806 : Epoch  5, Batch   3181, Loss  0.856798, Average Loss  0.866389, Time  0.495292
2021-09-09 13:38:24.734107 : Epoch  5, Batch   3182, Loss  0.864655, Average Loss  0.866336, Time  0.394059
2021-09-09 13:38:26.665884 : Epoch  5, Batch   3183, Loss  0.853134, Average Loss  0.866308, Time  0.436744
2021-09-09 13:38:28.645302 : Epoch  5, Batch   3184, Loss  0.879517, Average Loss  0.866450, Time  0.487248
2021-09-09 13:38:30.682921 : Epoch  5, Batch   3185, Loss  0.895055, Average Loss  0.866593, Time  0.533156
2021-09-09 13:38:32.570088 : Epoch  5, Batch   3186, Loss  0.863808, Average Loss  0.866670, Time  0.408768
2021-09-09 13:38:34.507826 : Epoch  5, Batch   3187, Loss  0.856692, Average Loss  0.866635, Time  0.430123
2021-09-09 13:38:36.551869 : Epoch  5, Batch   3188, Loss  0.862927, Average Loss  0.866478, Time  0.469261
2021-09-09 13:38:38.620125 : Epoch  5, Batch   3189, Loss  0.861175, Average Loss  0.866420, Time  0.564696
2021-09-09 13:38:40.607798 : Epoch  5, Batch   3190, Loss  0.910400, Average Loss  0.866797, Time  0.476465
2021-09-09 13:38:42.563806 : Epoch  5, Batch   3191, Loss  0.862704, Average Loss  0.866820, Time  0.440838
2021-09-09 13:38:44.481492 : Epoch  5, Batch   3192, Loss  0.881098, Average Loss  0.866822, Time  0.423502
2021-09-09 13:38:46.463899 : Epoch  5, Batch   3193, Loss  0.869001, Average Loss  0.866963, Time  0.480821
2021-09-09 13:38:48.506883 : Epoch  5, Batch   3194, Loss  0.843387, Average Loss  0.866834, Time  0.546827
2021-09-09 13:38:50.431235 : Epoch  5, Batch   3195, Loss  0.869360, Average Loss  0.866669, Time  0.417839
2021-09-09 13:38:52.359914 : Epoch  5, Batch   3196, Loss  0.880942, Average Loss  0.866738, Time  0.419068
2021-09-09 13:38:54.300791 : Epoch  5, Batch   3197, Loss  0.848194, Average Loss  0.866519, Time  0.452767
2021-09-09 13:38:56.347792 : Epoch  5, Batch   3198, Loss  0.857415, Average Loss  0.866246, Time  0.545552
2021-09-09 13:38:58.264957 : Epoch  5, Batch   3199, Loss  0.863869, Average Loss  0.866257, Time  0.415473
2021-09-09 13:39:00.094298 : Epoch  5, Batch   3200, Loss  0.855705, Average Loss  0.866091, Time  0.372285
2021-09-09 13:39:02.029878 : Epoch  5, Batch   3201, Loss  0.867528, Average Loss  0.865996, Time  0.436420
2021-09-09 13:39:03.975328 : Epoch  5, Batch   3202, Loss  0.880895, Average Loss  0.866145, Time  0.499971
2021-09-09 13:39:05.879135 : Epoch  5, Batch   3203, Loss  0.863654, Average Loss  0.866119, Time  0.434031
2021-09-09 13:39:07.784433 : Epoch  5, Batch   3204, Loss  0.855686, Average Loss  0.866007, Time  0.430247
2021-09-09 13:39:09.655077 : Epoch  5, Batch   3205, Loss  0.825121, Average Loss  0.865710, Time  0.452022
2021-09-09 13:39:11.574157 : Epoch  5, Batch   3206, Loss  0.868006, Average Loss  0.865719, Time  0.472476
2021-09-09 13:39:13.415045 : Epoch  5, Batch   3207, Loss  0.896938, Average Loss  0.865918, Time  0.397570
2021-09-09 13:39:15.270648 : Epoch  5, Batch   3208, Loss  0.878104, Average Loss  0.866097, Time  0.397747
2021-09-09 13:39:17.272003 : Epoch  5, Batch   3209, Loss  0.875940, Average Loss  0.866153, Time  0.537158
2021-09-09 13:39:19.109778 : Epoch  5, Batch   3210, Loss  0.866395, Average Loss  0.866359, Time  0.375576
2021-09-09 13:39:20.962558 : Epoch  5, Batch   3211, Loss  0.859619, Average Loss  0.866442, Time  0.391590
2021-09-09 13:39:22.951644 : Epoch  5, Batch   3212, Loss  0.879382, Average Loss  0.866585, Time  0.520766
2021-09-09 13:39:24.905836 : Epoch  5, Batch   3213, Loss  0.837132, Average Loss  0.866527, Time  0.495838
2021-09-09 13:39:26.745868 : Epoch  5, Batch   3214, Loss  0.882475, Average Loss  0.866639, Time  0.386112
2021-09-09 13:39:28.642990 : Epoch  5, Batch   3215, Loss  0.880652, Average Loss  0.866685, Time  0.439109
2021-09-09 13:39:30.541291 : Epoch  5, Batch   3216, Loss  0.849633, Average Loss  0.866432, Time  0.464228
2021-09-09 13:39:32.420809 : Epoch  5, Batch   3217, Loss  0.861925, Average Loss  0.866426, Time  0.394225
2021-09-09 13:39:34.278935 : Epoch  5, Batch   3218, Loss  0.862295, Average Loss  0.866333, Time  0.395567
2021-09-09 13:39:36.228931 : Epoch  5, Batch   3219, Loss  0.872188, Average Loss  0.866347, Time  0.495829
2021-09-09 13:39:38.219075 : Epoch  5, Batch   3220, Loss  0.882427, Average Loss  0.866181, Time  0.487417
2021-09-09 13:39:40.067803 : Epoch  5, Batch   3221, Loss  0.898374, Average Loss  0.866235, Time  0.394924
2021-09-09 13:39:41.889683 : Epoch  5, Batch   3222, Loss  0.863383, Average Loss  0.866291, Time  0.382300
2021-09-09 13:39:43.831786 : Epoch  5, Batch   3223, Loss  0.894953, Average Loss  0.866519, Time  0.478589
2021-09-09 13:39:45.787780 : Epoch  5, Batch   3224, Loss  0.857419, Average Loss  0.866385, Time  0.493837
2021-09-09 13:39:47.638788 : Epoch  5, Batch   3225, Loss  0.899654, Average Loss  0.866510, Time  0.376814
2021-09-09 13:39:49.483902 : Epoch  5, Batch   3226, Loss  0.855227, Average Loss  0.866359, Time  0.379482
2021-09-09 13:39:51.466933 : Epoch  5, Batch   3227, Loss  0.882851, Average Loss  0.866433, Time  0.504365
2021-09-09 13:39:53.415298 : Epoch  5, Batch   3228, Loss  0.850388, Average Loss  0.866138, Time  0.496998
2021-09-09 13:39:55.270779 : Epoch  5, Batch   3229, Loss  0.866872, Average Loss  0.866101, Time  0.395779
2021-09-09 13:39:57.103805 : Epoch  5, Batch   3230, Loss  0.857203, Average Loss  0.865971, Time  0.358583
2021-09-09 13:39:59.029785 : Epoch  5, Batch   3231, Loss  0.870563, Average Loss  0.866030, Time  0.472308
2021-09-09 13:40:00.987817 : Epoch  5, Batch   3232, Loss  0.863600, Average Loss  0.865955, Time  0.496794
2021-09-09 13:40:02.848185 : Epoch  5, Batch   3233, Loss  0.867226, Average Loss  0.865926, Time  0.397622
2021-09-09 13:40:04.669782 : Epoch  5, Batch   3234, Loss  0.864490, Average Loss  0.866099, Time  0.367001
2021-09-09 13:40:06.612784 : Epoch  5, Batch   3235, Loss  0.857272, Average Loss  0.866035, Time  0.473451
2021-09-09 13:40:08.578778 : Epoch  5, Batch   3236, Loss  0.890655, Average Loss  0.866234, Time  0.481796
2021-09-09 13:40:10.459001 : Epoch  5, Batch   3237, Loss  0.853162, Average Loss  0.866287, Time  0.396967
2021-09-09 13:40:12.293319 : Epoch  5, Batch   3238, Loss  0.846043, Average Loss  0.866213, Time  0.394757
2021-09-09 13:40:14.236223 : Epoch  5, Batch   3239, Loss  0.874880, Average Loss  0.866280, Time  0.483818
2021-09-09 13:40:16.183918 : Epoch  5, Batch   3240, Loss  0.853635, Average Loss  0.866131, Time  0.492724
2021-09-09 13:40:18.060836 : Epoch  5, Batch   3241, Loss  0.840450, Average Loss  0.866135, Time  0.397320
2021-09-09 13:40:19.922891 : Epoch  5, Batch   3242, Loss  0.867399, Average Loss  0.866174, Time  0.394173
2021-09-09 13:40:21.880482 : Epoch  5, Batch   3243, Loss  0.870971, Average Loss  0.866272, Time  0.487208
2021-09-09 13:40:23.845980 : Epoch  5, Batch   3244, Loss  0.884858, Average Loss  0.866492, Time  0.491309
2021-09-09 13:40:25.713804 : Epoch  5, Batch   3245, Loss  0.843781, Average Loss  0.866222, Time  0.393368
2021-09-09 13:40:27.543800 : Epoch  5, Batch   3246, Loss  0.848518, Average Loss  0.866330, Time  0.385717
2021-09-09 13:40:29.469781 : Epoch  5, Batch   3247, Loss  0.873814, Average Loss  0.866280, Time  0.480494
2021-09-09 13:40:31.428779 : Epoch  5, Batch   3248, Loss  0.881838, Average Loss  0.866387, Time  0.493553
2021-09-09 13:40:33.287859 : Epoch  5, Batch   3249, Loss  0.865719, Average Loss  0.866307, Time  0.386765
2021-09-09 13:40:35.147802 : Epoch  5, Batch   3250, Loss  0.876839, Average Loss  0.866343, Time  0.393193
2021-09-09 13:40:37.079155 : Epoch  5, Batch   3251, Loss  0.831569, Average Loss  0.866161, Time  0.493528
2021-09-09 13:40:39.047803 : Epoch  5, Batch   3252, Loss  0.863716, Average Loss  0.866251, Time  0.484477
2021-09-09 13:40:40.870218 : Epoch  5, Batch   3253, Loss  0.881531, Average Loss  0.866322, Time  0.373055
2021-09-09 13:40:42.731068 : Epoch  5, Batch   3254, Loss  0.847028, Average Loss  0.866183, Time  0.391160
2021-09-09 13:40:44.673848 : Epoch  5, Batch   3255, Loss  0.856804, Average Loss  0.866155, Time  0.490741
2021-09-09 13:40:46.611774 : Epoch  5, Batch   3256, Loss  0.848592, Average Loss  0.865946, Time  0.494101
2021-09-09 13:45:37.943736 : CheckPoint: Validation Loss  0.00060031, Best Loss  0.00056427
2021-09-09 13:45:39.762806 : Epoch  5, Batch   3257, Loss  0.845186, Average Loss  0.865926, Time  0.363175
2021-09-09 13:45:41.629794 : Epoch  5, Batch   3258, Loss  0.855155, Average Loss  0.866053, Time  0.411089
2021-09-09 13:45:43.532786 : Epoch  5, Batch   3259, Loss  0.809196, Average Loss  0.865757, Time  0.469264
2021-09-09 13:45:45.364783 : Epoch  5, Batch   3260, Loss  0.881318, Average Loss  0.865850, Time  0.368831
2021-09-09 13:45:47.187793 : Epoch  5, Batch   3261, Loss  0.890177, Average Loss  0.865936, Time  0.370462
2021-09-09 13:45:49.098781 : Epoch  5, Batch   3262, Loss  0.860084, Average Loss  0.865911, Time  0.472422
2021-09-09 13:45:50.987780 : Epoch  5, Batch   3263, Loss  0.862741, Average Loss  0.865993, Time  0.446981
2021-09-09 13:45:52.830781 : Epoch  5, Batch   3264, Loss  0.880670, Average Loss  0.866125, Time  0.373745
2021-09-09 13:45:54.656773 : Epoch  5, Batch   3265, Loss  0.880812, Average Loss  0.866422, Time  0.369210
2021-09-09 13:45:56.598913 : Epoch  5, Batch   3266, Loss  0.881309, Average Loss  0.866531, Time  0.470460
2021-09-09 13:45:58.518782 : Epoch  5, Batch   3267, Loss  0.851968, Average Loss  0.866357, Time  0.464634
2021-09-09 13:46:00.341777 : Epoch  5, Batch   3268, Loss  0.880183, Average Loss  0.866478, Time  0.374365
2021-09-09 13:46:02.194773 : Epoch  5, Batch   3269, Loss  0.892782, Average Loss  0.866508, Time  0.372235
2021-09-09 13:46:04.097800 : Epoch  5, Batch   3270, Loss  0.869789, Average Loss  0.866392, Time  0.450766
2021-09-09 13:46:05.996784 : Epoch  5, Batch   3271, Loss  0.877370, Average Loss  0.866412, Time  0.453455
2021-09-09 13:46:07.813353 : Epoch  5, Batch   3272, Loss  0.868369, Average Loss  0.866420, Time  0.367882
2021-09-09 13:46:09.851842 : Epoch  5, Batch   3273, Loss  0.902460, Average Loss  0.866649, Time  0.434194
2021-09-09 13:46:11.855808 : Epoch  5, Batch   3274, Loss  0.886894, Average Loss  0.866852, Time  0.508793
2021-09-09 13:46:13.883825 : Epoch  5, Batch   3275, Loss  0.879086, Average Loss  0.867077, Time  0.514926
2021-09-09 13:46:15.801990 : Epoch  5, Batch   3276, Loss  0.865516, Average Loss  0.866928, Time  0.415292
2021-09-09 13:46:17.724939 : Epoch  5, Batch   3277, Loss  0.866317, Average Loss  0.866994, Time  0.419796
2021-09-09 13:46:19.643792 : Epoch  5, Batch   3278, Loss  0.854082, Average Loss  0.867065, Time  0.412251
2021-09-09 13:46:21.676826 : Epoch  5, Batch   3279, Loss  0.884053, Average Loss  0.867013, Time  0.518039
2021-09-09 13:46:23.700801 : Epoch  5, Batch   3280, Loss  0.847043, Average Loss  0.866973, Time  0.501256
2021-09-09 13:46:25.606669 : Epoch  5, Batch   3281, Loss  0.902013, Average Loss  0.867222, Time  0.416487
2021-09-09 13:46:27.415792 : Epoch  5, Batch   3282, Loss  0.859774, Average Loss  0.867098, Time  0.376062
2021-09-09 13:46:29.325937 : Epoch  5, Batch   3283, Loss  0.834146, Average Loss  0.866897, Time  0.464333
2021-09-09 13:46:31.388436 : Epoch  5, Batch   3284, Loss  0.881557, Average Loss  0.866904, Time  0.571262
2021-09-09 13:46:33.286827 : Epoch  5, Batch   3285, Loss  0.869957, Average Loss  0.866855, Time  0.397814
2021-09-09 13:46:35.117797 : Epoch  5, Batch   3286, Loss  0.871581, Average Loss  0.866714, Time  0.376214
2021-09-09 13:46:36.951808 : Epoch  5, Batch   3287, Loss  0.822875, Average Loss  0.866561, Time  0.368991
2021-09-09 13:46:38.936792 : Epoch  5, Batch   3288, Loss  0.867730, Average Loss  0.866572, Time  0.476070
2021-09-09 13:46:40.759788 : Epoch  5, Batch   3289, Loss  0.861289, Average Loss  0.866564, Time  0.369024
2021-09-09 13:46:42.597899 : Epoch  5, Batch   3290, Loss  0.891702, Average Loss  0.866616, Time  0.370677
2021-09-09 13:46:44.479817 : Epoch  5, Batch   3291, Loss  0.855154, Average Loss  0.866602, Time  0.430151
2021-09-09 13:46:46.430822 : Epoch  5, Batch   3292, Loss  0.885816, Average Loss  0.866515, Time  0.495059
2021-09-09 13:46:48.366787 : Epoch  5, Batch   3293, Loss  0.872815, Average Loss  0.866585, Time  0.430614
2021-09-09 13:46:50.337281 : Epoch  5, Batch   3294, Loss  0.887980, Average Loss  0.866753, Time  0.405730
2021-09-09 13:46:52.278237 : Epoch  5, Batch   3295, Loss  0.835944, Average Loss  0.866485, Time  0.426104
2021-09-09 13:46:54.265803 : Epoch  5, Batch   3296, Loss  0.870012, Average Loss  0.866386, Time  0.476223
2021-09-09 13:46:56.082027 : Epoch  5, Batch   3297, Loss  0.856229, Average Loss  0.866318, Time  0.370410
2021-09-09 13:46:57.912774 : Epoch  5, Batch   3298, Loss  0.871195, Average Loss  0.866279, Time  0.365975
2021-09-09 13:46:59.810823 : Epoch  5, Batch   3299, Loss  0.882546, Average Loss  0.866413, Time  0.430760
2021-09-09 13:47:01.744954 : Epoch  5, Batch   3300, Loss  0.854273, Average Loss  0.866411, Time  0.470321
2021-09-09 13:47:03.578453 : Epoch  5, Batch   3301, Loss  0.858067, Average Loss  0.866289, Time  0.378360
2021-09-09 13:47:05.411237 : Epoch  5, Batch   3302, Loss  0.825910, Average Loss  0.866163, Time  0.368932
2021-09-09 13:47:07.342287 : Epoch  5, Batch   3303, Loss  0.849996, Average Loss  0.866103, Time  0.434413
2021-09-09 13:47:09.301519 : Epoch  5, Batch   3304, Loss  0.869731, Average Loss  0.866153, Time  0.474733
2021-09-09 13:47:11.133230 : Epoch  5, Batch   3305, Loss  0.849256, Average Loss  0.866048, Time  0.376681
2021-09-09 13:47:12.970789 : Epoch  5, Batch   3306, Loss  0.827559, Average Loss  0.865900, Time  0.370134
2021-09-09 13:47:14.859989 : Epoch  5, Batch   3307, Loss  0.851481, Average Loss  0.865893, Time  0.436096
2021-09-09 13:47:16.801561 : Epoch  5, Batch   3308, Loss  0.872082, Average Loss  0.865911, Time  0.474043
2021-09-09 13:47:18.656201 : Epoch  5, Batch   3309, Loss  0.853977, Average Loss  0.865936, Time  0.371535
2021-09-09 13:47:20.493242 : Epoch  5, Batch   3310, Loss  0.848806, Average Loss  0.865706, Time  0.375444
2021-09-09 13:47:22.370494 : Epoch  5, Batch   3311, Loss  0.880207, Average Loss  0.865776, Time  0.432381
2021-09-09 13:47:24.295972 : Epoch  5, Batch   3312, Loss  0.879594, Average Loss  0.865934, Time  0.466238
2021-09-09 13:47:26.135914 : Epoch  5, Batch   3313, Loss  0.835664, Average Loss  0.865848, Time  0.370126
2021-09-09 13:47:27.977970 : Epoch  5, Batch   3314, Loss  0.876181, Average Loss  0.865887, Time  0.370737
2021-09-09 13:47:29.890804 : Epoch  5, Batch   3315, Loss  0.889521, Average Loss  0.866009, Time  0.443971
2021-09-09 13:47:31.842798 : Epoch  5, Batch   3316, Loss  0.880256, Average Loss  0.865925, Time  0.470406
2021-09-09 13:47:33.690995 : Epoch  5, Batch   3317, Loss  0.845251, Average Loss  0.865913, Time  0.371426
2021-09-09 13:47:35.529234 : Epoch  5, Batch   3318, Loss  0.898920, Average Loss  0.866106, Time  0.367014
2021-09-09 13:47:37.421791 : Epoch  5, Batch   3319, Loss  0.871199, Average Loss  0.866268, Time  0.428878
2021-09-09 13:47:39.392804 : Epoch  5, Batch   3320, Loss  0.835924, Average Loss  0.866140, Time  0.465626
2021-09-09 13:47:41.227256 : Epoch  5, Batch   3321, Loss  0.856149, Average Loss  0.865905, Time  0.371131
2021-09-09 13:47:43.064780 : Epoch  5, Batch   3322, Loss  0.902653, Average Loss  0.866070, Time  0.374924
2021-09-09 13:47:44.970778 : Epoch  5, Batch   3323, Loss  0.870503, Average Loss  0.866022, Time  0.437820
2021-09-09 13:47:46.911001 : Epoch  5, Batch   3324, Loss  0.883296, Average Loss  0.866129, Time  0.471174
2021-09-09 13:47:48.742809 : Epoch  5, Batch   3325, Loss  0.889444, Average Loss  0.866266, Time  0.372102
2021-09-09 13:47:50.572926 : Epoch  5, Batch   3326, Loss  0.878714, Average Loss  0.866378, Time  0.370991
2021-09-09 13:47:52.474099 : Epoch  5, Batch   3327, Loss  0.895807, Average Loss  0.866615, Time  0.441392
2021-09-09 13:47:54.408786 : Epoch  5, Batch   3328, Loss  0.854670, Average Loss  0.866624, Time  0.454785
2021-09-09 13:47:56.246047 : Epoch  5, Batch   3329, Loss  0.860782, Average Loss  0.866567, Time  0.369726
2021-09-09 13:47:58.067982 : Epoch  5, Batch   3330, Loss  0.905399, Average Loss  0.866792, Time  0.364784
2021-09-09 13:47:59.998896 : Epoch  5, Batch   3331, Loss  0.855291, Average Loss  0.866664, Time  0.484205
2021-09-09 13:48:01.915788 : Epoch  5, Batch   3332, Loss  0.860260, Average Loss  0.866618, Time  0.460026
2021-09-09 13:48:03.753255 : Epoch  5, Batch   3333, Loss  0.862029, Average Loss  0.866648, Time  0.371331
2021-09-09 13:48:05.580797 : Epoch  5, Batch   3334, Loss  0.874394, Average Loss  0.866756, Time  0.370509
2021-09-09 13:48:07.516410 : Epoch  5, Batch   3335, Loss  0.884309, Average Loss  0.866899, Time  0.468968
2021-09-09 13:48:09.366897 : Epoch  5, Batch   3336, Loss  0.868159, Average Loss  0.866874, Time  0.376032
2021-09-09 13:48:11.202925 : Epoch  5, Batch   3337, Loss  0.896396, Average Loss  0.866981, Time  0.373263
2021-09-09 13:48:13.025224 : Epoch  5, Batch   3338, Loss  0.869733, Average Loss  0.866917, Time  0.371991
2021-09-09 13:48:14.843785 : Epoch  5, Batch   3339, Loss  0.889693, Average Loss  0.867022, Time  0.371009
2021-09-09 13:48:16.740337 : Epoch  5, Batch   3340, Loss  0.866490, Average Loss  0.867095, Time  0.429109
2021-09-09 13:48:18.682846 : Epoch  5, Batch   3341, Loss  0.879245, Average Loss  0.867094, Time  0.430590
2021-09-09 13:48:20.603788 : Epoch  5, Batch   3342, Loss  0.874620, Average Loss  0.867197, Time  0.416172
2021-09-09 13:48:22.610550 : Epoch  5, Batch   3343, Loss  0.883642, Average Loss  0.867417, Time  0.505352
2021-09-09 13:48:24.639815 : Epoch  5, Batch   3344, Loss  0.868944, Average Loss  0.867358, Time  0.509840
2021-09-09 13:48:26.553873 : Epoch  5, Batch   3345, Loss  0.857280, Average Loss  0.867359, Time  0.408765
2021-09-09 13:48:28.474306 : Epoch  5, Batch   3346, Loss  0.885881, Average Loss  0.867423, Time  0.411986
2021-09-09 13:48:30.396287 : Epoch  5, Batch   3347, Loss  0.883408, Average Loss  0.867597, Time  0.409022
2021-09-09 13:48:32.437492 : Epoch  5, Batch   3348, Loss  0.896029, Average Loss  0.867693, Time  0.519464
2021-09-09 13:48:34.434581 : Epoch  5, Batch   3349, Loss  0.863154, Average Loss  0.867630, Time  0.500091
2021-09-09 13:48:36.347794 : Epoch  5, Batch   3350, Loss  0.884836, Average Loss  0.867588, Time  0.411144
2021-09-09 13:48:38.258786 : Epoch  5, Batch   3351, Loss  0.870852, Average Loss  0.867389, Time  0.406013
2021-09-09 13:48:40.249852 : Epoch  5, Batch   3352, Loss  0.864196, Average Loss  0.867495, Time  0.434002
2021-09-09 13:48:42.261570 : Epoch  5, Batch   3353, Loss  0.876706, Average Loss  0.867590, Time  0.505138
2021-09-09 13:48:44.173970 : Epoch  5, Batch   3354, Loss  0.859919, Average Loss  0.867619, Time  0.410557
2021-09-09 13:48:46.089789 : Epoch  5, Batch   3355, Loss  0.861277, Average Loss  0.867559, Time  0.409631
2021-09-09 13:48:48.001811 : Epoch  5, Batch   3356, Loss  0.842029, Average Loss  0.867445, Time  0.415290
2021-09-09 13:53:43.536785 : CheckPoint: Validation Loss  0.00062037, Best Loss  0.00056427
2021-09-09 13:53:45.361138 : Epoch  5, Batch   3357, Loss  0.869638, Average Loss  0.867566, Time  0.372548
2021-09-09 13:53:47.214843 : Epoch  5, Batch   3358, Loss  0.874006, Average Loss  0.867500, Time  0.387213
2021-09-09 13:53:49.146248 : Epoch  5, Batch   3359, Loss  0.878529, Average Loss  0.867648, Time  0.471864
2021-09-09 13:53:51.003801 : Epoch  5, Batch   3360, Loss  0.858040, Average Loss  0.867822, Time  0.368639
2021-09-09 13:53:52.840800 : Epoch  5, Batch   3361, Loss  0.851470, Average Loss  0.867692, Time  0.376729
2021-09-09 13:53:54.745338 : Epoch  5, Batch   3362, Loss  0.861210, Average Loss  0.867662, Time  0.444590
2021-09-09 13:53:56.691792 : Epoch  5, Batch   3363, Loss  0.862364, Average Loss  0.867620, Time  0.490577
2021-09-09 13:53:58.542942 : Epoch  5, Batch   3364, Loss  0.881282, Average Loss  0.867724, Time  0.375361
2021-09-09 13:54:00.409780 : Epoch  5, Batch   3365, Loss  0.886767, Average Loss  0.867781, Time  0.377730
2021-09-09 13:54:02.297782 : Epoch  5, Batch   3366, Loss  0.884262, Average Loss  0.867862, Time  0.441615
2021-09-09 13:54:04.226267 : Epoch  5, Batch   3367, Loss  0.848239, Average Loss  0.867656, Time  0.472099
2021-09-09 13:54:06.047871 : Epoch  5, Batch   3368, Loss  0.847705, Average Loss  0.867548, Time  0.379695
2021-09-09 13:54:07.924288 : Epoch  5, Batch   3369, Loss  0.882622, Average Loss  0.867612, Time  0.376563
2021-09-09 13:54:09.821008 : Epoch  5, Batch   3370, Loss  0.848710, Average Loss  0.867547, Time  0.435910
2021-09-09 13:54:11.761792 : Epoch  5, Batch   3371, Loss  0.894579, Average Loss  0.867654, Time  0.478681
2021-09-09 13:54:13.589968 : Epoch  5, Batch   3372, Loss  0.859171, Average Loss  0.867513, Time  0.377284
2021-09-09 13:54:15.432412 : Epoch  5, Batch   3373, Loss  0.865436, Average Loss  0.867319, Time  0.373739
2021-09-09 13:54:17.341862 : Epoch  5, Batch   3374, Loss  0.884102, Average Loss  0.867511, Time  0.465268
2021-09-09 13:54:19.266270 : Epoch  5, Batch   3375, Loss  0.893405, Average Loss  0.867703, Time  0.453848
2021-09-09 13:54:21.102501 : Epoch  5, Batch   3376, Loss  0.879532, Average Loss  0.867835, Time  0.374240
2021-09-09 13:54:22.939800 : Epoch  5, Batch   3377, Loss  0.871464, Average Loss  0.867862, Time  0.367635
2021-09-09 13:54:24.861222 : Epoch  5, Batch   3378, Loss  0.846232, Average Loss  0.867821, Time  0.470433
2021-09-09 13:54:26.774873 : Epoch  5, Batch   3379, Loss  0.902916, Average Loss  0.868046, Time  0.462103
2021-09-09 13:54:28.607879 : Epoch  5, Batch   3380, Loss  0.857938, Average Loss  0.868028, Time  0.368930
2021-09-09 13:54:30.457269 : Epoch  5, Batch   3381, Loss  0.873628, Average Loss  0.868112, Time  0.373036
2021-09-09 13:54:32.395867 : Epoch  5, Batch   3382, Loss  0.883986, Average Loss  0.868209, Time  0.472819
2021-09-09 13:54:34.305880 : Epoch  5, Batch   3383, Loss  0.820061, Average Loss  0.868044, Time  0.444890
2021-09-09 13:54:36.151777 : Epoch  5, Batch   3384, Loss  0.888528, Average Loss  0.868089, Time  0.377160
2021-09-09 13:54:37.993252 : Epoch  5, Batch   3385, Loss  0.864480, Average Loss  0.867936, Time  0.375408
2021-09-09 13:54:39.933071 : Epoch  5, Batch   3386, Loss  0.886622, Average Loss  0.868050, Time  0.464553
2021-09-09 13:54:41.818247 : Epoch  5, Batch   3387, Loss  0.863189, Average Loss  0.868082, Time  0.449945
2021-09-09 13:54:43.703908 : Epoch  5, Batch   3388, Loss  0.862870, Average Loss  0.868082, Time  0.368437
2021-09-09 13:54:45.535800 : Epoch  5, Batch   3389, Loss  0.858968, Average Loss  0.868071, Time  0.371071
2021-09-09 13:54:47.474066 : Epoch  5, Batch   3390, Loss  0.868032, Average Loss  0.867859, Time  0.477265
2021-09-09 13:54:49.367261 : Epoch  5, Batch   3391, Loss  0.878294, Average Loss  0.867937, Time  0.447381
2021-09-09 13:54:51.185798 : Epoch  5, Batch   3392, Loss  0.856402, Average Loss  0.867814, Time  0.373966
2021-09-09 13:54:53.043613 : Epoch  5, Batch   3393, Loss  0.874071, Average Loss  0.867839, Time  0.377525
2021-09-09 13:54:54.989827 : Epoch  5, Batch   3394, Loss  0.868642, Average Loss  0.867965, Time  0.479618
2021-09-09 13:54:56.888531 : Epoch  5, Batch   3395, Loss  0.876149, Average Loss  0.867999, Time  0.429573
2021-09-09 13:54:58.723566 : Epoch  5, Batch   3396, Loss  0.844138, Average Loss  0.867815, Time  0.373030
2021-09-09 13:55:00.560778 : Epoch  5, Batch   3397, Loss  0.898346, Average Loss  0.868066, Time  0.381544
2021-09-09 13:55:02.496808 : Epoch  5, Batch   3398, Loss  0.853204, Average Loss  0.868045, Time  0.479952
2021-09-09 13:55:04.299320 : Epoch  5, Batch   3399, Loss  0.916244, Average Loss  0.868307, Time  0.372838
2021-09-09 13:55:06.131927 : Epoch  5, Batch   3400, Loss  0.891231, Average Loss  0.868484, Time  0.376235
2021-09-09 13:55:08.040803 : Epoch  5, Batch   3401, Loss  0.848603, Average Loss  0.868390, Time  0.438365
2021-09-09 13:55:09.971004 : Epoch  5, Batch   3402, Loss  0.905357, Average Loss  0.868512, Time  0.471125
2021-09-09 13:55:11.800772 : Epoch  5, Batch   3403, Loss  0.884744, Average Loss  0.868618, Time  0.368625
2021-09-09 13:55:13.628974 : Epoch  5, Batch   3404, Loss  0.856624, Average Loss  0.868622, Time  0.367096
2021-09-09 13:55:15.550783 : Epoch  5, Batch   3405, Loss  0.875178, Average Loss  0.868873, Time  0.451179
2021-09-09 13:55:17.490782 : Epoch  5, Batch   3406, Loss  0.892156, Average Loss  0.868993, Time  0.466317
2021-09-09 13:55:19.317231 : Epoch  5, Batch   3407, Loss  0.846903, Average Loss  0.868743, Time  0.373034
2021-09-09 13:55:21.146778 : Epoch  5, Batch   3408, Loss  0.847422, Average Loss  0.868590, Time  0.374428
2021-09-09 13:55:23.070793 : Epoch  5, Batch   3409, Loss  0.857971, Average Loss  0.868500, Time  0.456174
2021-09-09 13:55:25.027793 : Epoch  5, Batch   3410, Loss  0.878121, Average Loss  0.868559, Time  0.472036
2021-09-09 13:55:26.885240 : Epoch  5, Batch   3411, Loss  0.889627, Average Loss  0.868709, Time  0.376230
2021-09-09 13:55:28.707290 : Epoch  5, Batch   3412, Loss  0.876954, Average Loss  0.868696, Time  0.376630
2021-09-09 13:55:30.624799 : Epoch  5, Batch   3413, Loss  0.867220, Average Loss  0.868847, Time  0.447254
2021-09-09 13:55:32.564578 : Epoch  5, Batch   3414, Loss  0.848026, Average Loss  0.868675, Time  0.471586
2021-09-09 13:55:34.411293 : Epoch  5, Batch   3415, Loss  0.872899, Average Loss  0.868636, Time  0.374326
2021-09-09 13:55:36.236231 : Epoch  5, Batch   3416, Loss  0.867917, Average Loss  0.868727, Time  0.379594
2021-09-09 13:55:38.166797 : Epoch  5, Batch   3417, Loss  0.890815, Average Loss  0.868872, Time  0.451699
2021-09-09 13:55:40.148305 : Epoch  5, Batch   3418, Loss  0.834062, Average Loss  0.868731, Time  0.469425
2021-09-09 13:55:41.990796 : Epoch  5, Batch   3419, Loss  0.882367, Average Loss  0.868781, Time  0.377127
2021-09-09 13:55:43.792214 : Epoch  5, Batch   3420, Loss  0.813026, Average Loss  0.868434, Time  0.372045
2021-09-09 13:55:45.715825 : Epoch  5, Batch   3421, Loss  0.867595, Average Loss  0.868281, Time  0.468267
2021-09-09 13:55:47.636805 : Epoch  5, Batch   3422, Loss  0.862540, Average Loss  0.868276, Time  0.465798
2021-09-09 13:55:49.479880 : Epoch  5, Batch   3423, Loss  0.852634, Average Loss  0.868065, Time  0.384138
2021-09-09 13:55:51.327854 : Epoch  5, Batch   3424, Loss  0.870496, Average Loss  0.868130, Time  0.375767
2021-09-09 13:55:53.252312 : Epoch  5, Batch   3425, Loss  0.885883, Average Loss  0.868061, Time  0.452846
2021-09-09 13:55:55.200773 : Epoch  5, Batch   3426, Loss  0.889742, Average Loss  0.868234, Time  0.466033
2021-09-09 13:55:57.048784 : Epoch  5, Batch   3427, Loss  0.866818, Average Loss  0.868154, Time  0.387769
2021-09-09 13:55:58.887794 : Epoch  5, Batch   3428, Loss  0.869916, Average Loss  0.868251, Time  0.376341
2021-09-09 13:56:00.839776 : Epoch  5, Batch   3429, Loss  0.902527, Average Loss  0.868430, Time  0.432125
2021-09-09 13:56:02.787886 : Epoch  5, Batch   3430, Loss  0.866832, Average Loss  0.868478, Time  0.479463
2021-09-09 13:56:04.627520 : Epoch  5, Batch   3431, Loss  0.841231, Average Loss  0.868331, Time  0.378872
2021-09-09 13:56:06.484212 : Epoch  5, Batch   3432, Loss  0.884466, Average Loss  0.868435, Time  0.373820
2021-09-09 13:56:08.374286 : Epoch  5, Batch   3433, Loss  0.866551, Average Loss  0.868432, Time  0.433058
2021-09-09 13:56:10.342295 : Epoch  5, Batch   3434, Loss  0.872482, Average Loss  0.868472, Time  0.469145
2021-09-09 13:56:12.170773 : Epoch  5, Batch   3435, Loss  0.863013, Average Loss  0.868501, Time  0.378597
2021-09-09 13:56:14.012828 : Epoch  5, Batch   3436, Loss  0.846200, Average Loss  0.868278, Time  0.380801
2021-09-09 13:56:15.949561 : Epoch  5, Batch   3437, Loss  0.873734, Average Loss  0.868381, Time  0.424464
2021-09-09 13:56:17.875921 : Epoch  5, Batch   3438, Loss  0.849829, Average Loss  0.868400, Time  0.468166
2021-09-09 13:56:19.722024 : Epoch  5, Batch   3439, Loss  0.868053, Average Loss  0.868366, Time  0.387110
2021-09-09 13:56:21.554208 : Epoch  5, Batch   3440, Loss  0.878808, Average Loss  0.868492, Time  0.374157
2021-09-09 13:56:23.471321 : Epoch  5, Batch   3441, Loss  0.852604, Average Loss  0.868553, Time  0.456015
2021-09-09 13:56:25.451808 : Epoch  5, Batch   3442, Loss  0.846615, Average Loss  0.868449, Time  0.479336
2021-09-09 13:56:27.307823 : Epoch  5, Batch   3443, Loss  0.868185, Average Loss  0.868435, Time  0.390001
2021-09-09 13:56:29.139974 : Epoch  5, Batch   3444, Loss  0.888592, Average Loss  0.868454, Time  0.371886
2021-09-09 13:56:31.035836 : Epoch  5, Batch   3445, Loss  0.863764, Average Loss  0.868553, Time  0.430049
2021-09-09 13:56:32.968818 : Epoch  5, Batch   3446, Loss  0.858272, Average Loss  0.868602, Time  0.470290
2021-09-09 13:56:34.806933 : Epoch  5, Batch   3447, Loss  0.839791, Average Loss  0.868432, Time  0.376485
2021-09-09 13:56:36.626498 : Epoch  5, Batch   3448, Loss  0.854944, Average Loss  0.868298, Time  0.375469
2021-09-09 13:56:38.568873 : Epoch  5, Batch   3449, Loss  0.900332, Average Loss  0.868471, Time  0.464383
2021-09-09 13:56:40.497880 : Epoch  5, Batch   3450, Loss  0.885821, Average Loss  0.868516, Time  0.467841
2021-09-09 13:56:42.324369 : Epoch  5, Batch   3451, Loss  0.879121, Average Loss  0.868753, Time  0.367495
2021-09-09 13:56:44.193894 : Epoch  5, Batch   3452, Loss  0.865745, Average Loss  0.868764, Time  0.375013
2021-09-09 13:56:46.092516 : Epoch  5, Batch   3453, Loss  0.862082, Average Loss  0.868666, Time  0.435446
2021-09-09 13:56:48.033280 : Epoch  5, Batch   3454, Loss  0.848407, Average Loss  0.868673, Time  0.480825
2021-09-09 13:56:49.853030 : Epoch  5, Batch   3455, Loss  0.872316, Average Loss  0.868751, Time  0.373019
2021-09-09 13:56:51.686943 : Epoch  5, Batch   3456, Loss  0.873767, Average Loss  0.868877, Time  0.371707
2021-09-09 14:01:43.771741 : CheckPoint: Validation Loss  0.00060591, Best Loss  0.00056427
2021-09-09 14:01:45.665799 : Epoch  5, Batch   3457, Loss  0.887359, Average Loss  0.869087, Time  0.438979
2021-09-09 14:01:47.601783 : Epoch  5, Batch   3458, Loss  0.902030, Average Loss  0.869322, Time  0.470986
2021-09-09 14:01:49.443170 : Epoch  5, Batch   3459, Loss  0.899314, Average Loss  0.869772, Time  0.374695
2021-09-09 14:01:51.279820 : Epoch  5, Batch   3460, Loss  0.884140, Average Loss  0.869787, Time  0.372567
2021-09-09 14:01:53.203910 : Epoch  5, Batch   3461, Loss  0.869950, Average Loss  0.869685, Time  0.441885
2021-09-09 14:01:55.150284 : Epoch  5, Batch   3462, Loss  0.855450, Average Loss  0.869662, Time  0.469835
2021-09-09 14:01:56.989779 : Epoch  5, Batch   3463, Loss  0.894061, Average Loss  0.869819, Time  0.373098
2021-09-09 14:01:58.819772 : Epoch  5, Batch   3464, Loss  0.873031, Average Loss  0.869781, Time  0.372470
2021-09-09 14:02:00.718803 : Epoch  5, Batch   3465, Loss  0.877747, Average Loss  0.869765, Time  0.439791
2021-09-09 14:02:02.646806 : Epoch  5, Batch   3466, Loss  0.851247, Average Loss  0.869615, Time  0.467354
2021-09-09 14:02:04.488777 : Epoch  5, Batch   3467, Loss  0.874094, Average Loss  0.869726, Time  0.372935
2021-09-09 14:02:06.320783 : Epoch  5, Batch   3468, Loss  0.870320, Average Loss  0.869676, Time  0.368929
2021-09-09 14:02:08.229776 : Epoch  5, Batch   3469, Loss  0.873500, Average Loss  0.869580, Time  0.447879
2021-09-09 14:02:10.147795 : Epoch  5, Batch   3470, Loss  0.898671, Average Loss  0.869724, Time  0.470137
2021-09-09 14:02:11.980777 : Epoch  5, Batch   3471, Loss  0.875836, Average Loss  0.869717, Time  0.373186
2021-09-09 14:02:13.805776 : Epoch  5, Batch   3472, Loss  0.851846, Average Loss  0.869634, Time  0.373136
2021-09-09 14:02:15.706930 : Epoch  5, Batch   3473, Loss  0.879557, Average Loss  0.869520, Time  0.447066
2021-09-09 14:02:17.625781 : Epoch  5, Batch   3474, Loss  0.867136, Average Loss  0.869421, Time  0.471596
2021-09-09 14:02:19.438211 : Epoch  5, Batch   3475, Loss  0.899001, Average Loss  0.869520, Time  0.370688
2021-09-09 14:02:21.246777 : Epoch  5, Batch   3476, Loss  0.872906, Average Loss  0.869557, Time  0.367757
2021-09-09 14:02:23.173499 : Epoch  5, Batch   3477, Loss  0.868793, Average Loss  0.869570, Time  0.473087
2021-09-09 14:02:25.104780 : Epoch  5, Batch   3478, Loss  0.879652, Average Loss  0.869697, Time  0.466857
2021-09-09 14:02:26.934229 : Epoch  5, Batch   3479, Loss  0.878151, Average Loss  0.869668, Time  0.369454
2021-09-09 14:02:28.772180 : Epoch  5, Batch   3480, Loss  0.870264, Average Loss  0.869784, Time  0.369394
2021-09-09 14:02:30.701015 : Epoch  5, Batch   3481, Loss  0.900263, Average Loss  0.869775, Time  0.471459
2021-09-09 14:02:32.611802 : Epoch  5, Batch   3482, Loss  0.872332, Average Loss  0.869838, Time  0.464056
2021-09-09 14:02:34.434240 : Epoch  5, Batch   3483, Loss  0.865187, Average Loss  0.869993, Time  0.368935
2021-09-09 14:02:36.280851 : Epoch  5, Batch   3484, Loss  0.880158, Average Loss  0.869986, Time  0.371459
2021-09-09 14:02:38.215931 : Epoch  5, Batch   3485, Loss  0.888575, Average Loss  0.870079, Time  0.478110
2021-09-09 14:02:40.050779 : Epoch  5, Batch   3486, Loss  0.881114, Average Loss  0.870127, Time  0.370350
2021-09-09 14:02:41.876804 : Epoch  5, Batch   3487, Loss  0.848418, Average Loss  0.870255, Time  0.366208
2021-09-09 14:02:43.715797 : Epoch  5, Batch   3488, Loss  0.852100, Average Loss  0.870177, Time  0.365695
2021-09-09 14:02:45.694798 : Epoch  5, Batch   3489, Loss  0.877619, Average Loss  0.870258, Time  0.470389
2021-09-09 14:02:47.523133 : Epoch  5, Batch   3490, Loss  0.868830, Average Loss  0.870144, Time  0.369762
2021-09-09 14:02:49.362811 : Epoch  5, Batch   3491, Loss  0.885261, Average Loss  0.870294, Time  0.366925
2021-09-09 14:02:51.217777 : Epoch  5, Batch   3492, Loss  0.881190, Average Loss  0.870271, Time  0.422584
2021-09-09 14:02:53.177803 : Epoch  5, Batch   3493, Loss  0.846180, Average Loss  0.870138, Time  0.471759
2021-09-09 14:02:55.020778 : Epoch  5, Batch   3494, Loss  0.844460, Average Loss  0.869921, Time  0.365613
2021-09-09 14:02:56.840193 : Epoch  5, Batch   3495, Loss  0.820760, Average Loss  0.869845, Time  0.367885
2021-09-09 14:02:58.771034 : Epoch  5, Batch   3496, Loss  0.891280, Average Loss  0.869951, Time  0.460770
2021-09-09 14:03:00.698809 : Epoch  5, Batch   3497, Loss  0.882715, Average Loss  0.870083, Time  0.460039
2021-09-09 14:03:02.537822 : Epoch  5, Batch   3498, Loss  0.876410, Average Loss  0.870110, Time  0.375998
2021-09-09 14:03:04.361785 : Epoch  5, Batch   3499, Loss  0.846734, Average Loss  0.869930, Time  0.368566
2021-09-09 14:03:06.306280 : Epoch  5, Batch   3500, Loss  0.881419, Average Loss  0.870066, Time  0.475617
2021-09-09 14:03:08.239785 : Epoch  5, Batch   3501, Loss  0.864377, Average Loss  0.870098, Time  0.462309
2021-09-09 14:03:10.076782 : Epoch  5, Batch   3502, Loss  0.898365, Average Loss  0.870460, Time  0.370080
2021-09-09 14:03:11.904982 : Epoch  5, Batch   3503, Loss  0.854201, Average Loss  0.870481, Time  0.369172
2021-09-09 14:03:13.828787 : Epoch  5, Batch   3504, Loss  0.880128, Average Loss  0.870533, Time  0.460386
2021-09-09 14:03:15.739780 : Epoch  5, Batch   3505, Loss  0.852496, Average Loss  0.870549, Time  0.461554
2021-09-09 14:03:17.566679 : Epoch  5, Batch   3506, Loss  0.839506, Average Loss  0.870609, Time  0.372149
2021-09-09 14:03:19.376775 : Epoch  5, Batch   3507, Loss  0.885348, Average Loss  0.870778, Time  0.376792
2021-09-09 14:03:21.317856 : Epoch  5, Batch   3508, Loss  0.873001, Average Loss  0.870783, Time  0.473056
2021-09-09 14:03:23.198501 : Epoch  5, Batch   3509, Loss  0.837383, Average Loss  0.870700, Time  0.408669
2021-09-09 14:03:25.032224 : Epoch  5, Batch   3510, Loss  0.862368, Average Loss  0.870768, Time  0.374544
2021-09-09 14:03:26.861781 : Epoch  5, Batch   3511, Loss  0.864348, Average Loss  0.870688, Time  0.372801
2021-09-09 14:03:28.802828 : Epoch  5, Batch   3512, Loss  0.886375, Average Loss  0.870722, Time  0.472436
2021-09-09 14:03:30.711793 : Epoch  5, Batch   3513, Loss  0.906325, Average Loss  0.871076, Time  0.437197
2021-09-09 14:03:32.551792 : Epoch  5, Batch   3514, Loss  0.883671, Average Loss  0.871113, Time  0.370427
2021-09-09 14:03:34.372778 : Epoch  5, Batch   3515, Loss  0.867022, Average Loss  0.871001, Time  0.371993
2021-09-09 14:03:36.323388 : Epoch  5, Batch   3516, Loss  0.863206, Average Loss  0.870915, Time  0.473344
2021-09-09 14:03:38.261837 : Epoch  5, Batch   3517, Loss  0.841951, Average Loss  0.870899, Time  0.472970
2021-09-09 14:03:40.101842 : Epoch  5, Batch   3518, Loss  0.844355, Average Loss  0.870626, Time  0.377682
2021-09-09 14:03:41.939403 : Epoch  5, Batch   3519, Loss  0.848450, Average Loss  0.870512, Time  0.374109
2021-09-09 14:03:43.868851 : Epoch  5, Batch   3520, Loss  0.846640, Average Loss  0.870566, Time  0.461062
2021-09-09 14:03:45.868923 : Epoch  5, Batch   3521, Loss  0.865171, Average Loss  0.870611, Time  0.475997
2021-09-09 14:03:47.702134 : Epoch  5, Batch   3522, Loss  0.894289, Average Loss  0.870569, Time  0.379491
2021-09-09 14:03:49.625294 : Epoch  5, Batch   3523, Loss  0.895760, Average Loss  0.870695, Time  0.382523
2021-09-09 14:03:51.560909 : Epoch  5, Batch   3524, Loss  0.853856, Average Loss  0.870548, Time  0.467998
2021-09-09 14:03:53.482784 : Epoch  5, Batch   3525, Loss  0.880192, Average Loss  0.870502, Time  0.460394
2021-09-09 14:03:55.337825 : Epoch  5, Batch   3526, Loss  0.894652, Average Loss  0.870582, Time  0.375075
2021-09-09 14:03:57.169780 : Epoch  5, Batch   3527, Loss  0.850054, Average Loss  0.870353, Time  0.373480
2021-09-09 14:03:59.096806 : Epoch  5, Batch   3528, Loss  0.857899, Average Loss  0.870369, Time  0.451811
2021-09-09 14:04:01.039505 : Epoch  5, Batch   3529, Loss  0.882676, Average Loss  0.870479, Time  0.470616
2021-09-09 14:04:02.886529 : Epoch  5, Batch   3530, Loss  0.886936, Average Loss  0.870386, Time  0.378340
2021-09-09 14:04:04.753792 : Epoch  5, Batch   3531, Loss  0.864126, Average Loss  0.870430, Time  0.369055
2021-09-09 14:04:06.641109 : Epoch  5, Batch   3532, Loss  0.863166, Average Loss  0.870445, Time  0.432876
2021-09-09 14:04:08.577904 : Epoch  5, Batch   3533, Loss  0.846201, Average Loss  0.870366, Time  0.469592
2021-09-09 14:04:10.420780 : Epoch  5, Batch   3534, Loss  0.882890, Average Loss  0.870408, Time  0.370929
2021-09-09 14:04:12.268431 : Epoch  5, Batch   3535, Loss  0.847857, Average Loss  0.870226, Time  0.368686
2021-09-09 14:04:14.168867 : Epoch  5, Batch   3536, Loss  0.881623, Average Loss  0.870293, Time  0.433179
2021-09-09 14:04:16.093254 : Epoch  5, Batch   3537, Loss  0.882013, Average Loss  0.870221, Time  0.465724
2021-09-09 14:04:17.911780 : Epoch  5, Batch   3538, Loss  0.860368, Average Loss  0.870175, Time  0.372526
2021-09-09 14:04:19.706794 : Epoch  5, Batch   3539, Loss  0.864291, Average Loss  0.870048, Time  0.370145
2021-09-09 14:04:21.612910 : Epoch  5, Batch   3540, Loss  0.874407, Average Loss  0.870087, Time  0.474256
2021-09-09 14:04:23.522049 : Epoch  5, Batch   3541, Loss  0.856317, Average Loss  0.869972, Time  0.464472
2021-09-09 14:04:25.303779 : Epoch  5, Batch   3542, Loss  0.859045, Average Loss  0.869895, Time  0.371841
2021-09-09 14:04:27.093771 : Epoch  5, Batch   3543, Loss  0.873047, Average Loss  0.869842, Time  0.375684
2021-09-09 14:04:28.987853 : Epoch  5, Batch   3544, Loss  0.861251, Average Loss  0.869803, Time  0.473696
2021-09-09 14:04:30.863963 : Epoch  5, Batch   3545, Loss  0.858991, Average Loss  0.869812, Time  0.440928
2021-09-09 14:04:32.645222 : Epoch  5, Batch   3546, Loss  0.861558, Average Loss  0.869690, Time  0.367493
2021-09-09 14:04:34.476778 : Epoch  5, Batch   3547, Loss  0.873921, Average Loss  0.869643, Time  0.368997
2021-09-09 14:04:36.419809 : Epoch  5, Batch   3548, Loss  0.852467, Average Loss  0.869425, Time  0.477393
2021-09-09 14:04:38.240037 : Epoch  5, Batch   3549, Loss  0.878195, Average Loss  0.869500, Time  0.367864
2021-09-09 14:04:40.071776 : Epoch  5, Batch   3550, Loss  0.890694, Average Loss  0.869529, Time  0.370988
2021-09-09 14:04:41.920815 : Epoch  5, Batch   3551, Loss  0.901827, Average Loss  0.869684, Time  0.402099
2021-09-09 14:04:43.847800 : Epoch  5, Batch   3552, Loss  0.885123, Average Loss  0.869789, Time  0.470515
2021-09-09 14:04:45.692777 : Epoch  5, Batch   3553, Loss  0.860400, Average Loss  0.869707, Time  0.370944
2021-09-09 14:04:47.570842 : Epoch  5, Batch   3554, Loss  0.870954, Average Loss  0.869763, Time  0.370924
2021-09-09 14:04:49.490357 : Epoch  5, Batch   3555, Loss  0.840121, Average Loss  0.869657, Time  0.456286
2021-09-09 14:04:51.436777 : Epoch  5, Batch   3556, Loss  0.874021, Average Loss  0.869817, Time  0.468558
2021-09-09 14:09:43.516741 : CheckPoint: Validation Loss  0.00058066, Best Loss  0.00056427
2021-09-09 14:09:45.345078 : Epoch  5, Batch   3557, Loss  0.880533, Average Loss  0.869871, Time  0.373378
2021-09-09 14:09:47.189788 : Epoch  5, Batch   3558, Loss  0.870093, Average Loss  0.869852, Time  0.386776
2021-09-09 14:09:49.128936 : Epoch  5, Batch   3559, Loss  0.874358, Average Loss  0.869831, Time  0.477356
2021-09-09 14:09:51.023780 : Epoch  5, Batch   3560, Loss  0.866684, Average Loss  0.869874, Time  0.428119
2021-09-09 14:09:52.859911 : Epoch  5, Batch   3561, Loss  0.849412, Average Loss  0.869864, Time  0.374356
2021-09-09 14:09:54.705795 : Epoch  5, Batch   3562, Loss  0.888458, Average Loss  0.870000, Time  0.377240
2021-09-09 14:09:56.625853 : Epoch  5, Batch   3563, Loss  0.863076, Average Loss  0.870003, Time  0.469513
2021-09-09 14:09:58.563869 : Epoch  5, Batch   3564, Loss  0.857483, Average Loss  0.869884, Time  0.473163
2021-09-09 14:10:00.418777 : Epoch  5, Batch   3565, Loss  0.886941, Average Loss  0.869885, Time  0.375994
2021-09-09 14:10:02.251778 : Epoch  5, Batch   3566, Loss  0.866637, Average Loss  0.869797, Time  0.371328
2021-09-09 14:10:04.157864 : Epoch  5, Batch   3567, Loss  0.878813, Average Loss  0.869950, Time  0.439144
2021-09-09 14:10:06.104786 : Epoch  5, Batch   3568, Loss  0.902421, Average Loss  0.870224, Time  0.485540
2021-09-09 14:10:07.950831 : Epoch  5, Batch   3569, Loss  0.851165, Average Loss  0.870066, Time  0.377482
2021-09-09 14:10:09.790191 : Epoch  5, Batch   3570, Loss  0.883002, Average Loss  0.870238, Time  0.368196
2021-09-09 14:10:11.673795 : Epoch  5, Batch   3571, Loss  0.889582, Average Loss  0.870213, Time  0.433419
2021-09-09 14:10:13.607246 : Epoch  5, Batch   3572, Loss  0.847865, Average Loss  0.870156, Time  0.472646
2021-09-09 14:10:15.422807 : Epoch  5, Batch   3573, Loss  0.881212, Average Loss  0.870235, Time  0.368178
2021-09-09 14:10:17.261977 : Epoch  5, Batch   3574, Loss  0.848119, Average Loss  0.870055, Time  0.371083
2021-09-09 14:10:19.136788 : Epoch  5, Batch   3575, Loss  0.868560, Average Loss  0.869931, Time  0.429163
2021-09-09 14:10:21.046790 : Epoch  5, Batch   3576, Loss  0.855240, Average Loss  0.869810, Time  0.468639
2021-09-09 14:10:22.867058 : Epoch  5, Batch   3577, Loss  0.870145, Average Loss  0.869803, Time  0.371567
2021-09-09 14:10:24.815852 : Epoch  5, Batch   3578, Loss  0.865514, Average Loss  0.869899, Time  0.420104
2021-09-09 14:10:26.807804 : Epoch  5, Batch   3579, Loss  0.881383, Average Loss  0.869792, Time  0.475468
2021-09-09 14:10:28.829813 : Epoch  5, Batch   3580, Loss  0.850942, Average Loss  0.869757, Time  0.499804
2021-09-09 14:10:30.752171 : Epoch  5, Batch   3581, Loss  0.873639, Average Loss  0.869757, Time  0.410716
2021-09-09 14:10:32.686023 : Epoch  5, Batch   3582, Loss  0.829737, Average Loss  0.869486, Time  0.412915
2021-09-09 14:10:34.598338 : Epoch  5, Batch   3583, Loss  0.867354, Average Loss  0.869722, Time  0.416827
2021-09-09 14:10:36.559201 : Epoch  5, Batch   3584, Loss  0.853167, Average Loss  0.869545, Time  0.478834
2021-09-09 14:10:38.389793 : Epoch  5, Batch   3585, Loss  0.874508, Average Loss  0.869595, Time  0.365267
2021-09-09 14:10:40.210328 : Epoch  5, Batch   3586, Loss  0.860408, Average Loss  0.869464, Time  0.378339
2021-09-09 14:10:42.129779 : Epoch  5, Batch   3587, Loss  0.892736, Average Loss  0.869612, Time  0.418015
2021-09-09 14:10:44.098322 : Epoch  5, Batch   3588, Loss  0.872181, Average Loss  0.869659, Time  0.473825
2021-09-09 14:10:45.909013 : Epoch  5, Batch   3589, Loss  0.847685, Average Loss  0.869602, Time  0.378029
2021-09-09 14:10:47.727831 : Epoch  5, Batch   3590, Loss  0.873252, Average Loss  0.869628, Time  0.370932
2021-09-09 14:10:49.658025 : Epoch  5, Batch   3591, Loss  0.873426, Average Loss  0.869604, Time  0.495468
2021-09-09 14:10:51.553178 : Epoch  5, Batch   3592, Loss  0.880202, Average Loss  0.869723, Time  0.480052
2021-09-09 14:10:53.366751 : Epoch  5, Batch   3593, Loss  0.867480, Average Loss  0.869690, Time  0.383693
2021-09-09 14:10:55.239781 : Epoch  5, Batch   3594, Loss  0.862512, Average Loss  0.869659, Time  0.409628
2021-09-09 14:10:57.192017 : Epoch  5, Batch   3595, Loss  0.872766, Average Loss  0.869642, Time  0.464705
2021-09-09 14:10:59.215811 : Epoch  5, Batch   3596, Loss  0.859463, Average Loss  0.869719, Time  0.515413
2021-09-09 14:11:01.140019 : Epoch  5, Batch   3597, Loss  0.876286, Average Loss  0.869609, Time  0.411992
2021-09-09 14:11:03.051842 : Epoch  5, Batch   3598, Loss  0.865880, Average Loss  0.869672, Time  0.412101
2021-09-09 14:11:04.963051 : Epoch  5, Batch   3599, Loss  0.865081, Average Loss  0.869416, Time  0.417733
2021-09-09 14:11:06.976831 : Epoch  5, Batch   3600, Loss  0.869114, Average Loss  0.869306, Time  0.505682
2021-09-09 14:11:08.894962 : Epoch  5, Batch   3601, Loss  0.864537, Average Loss  0.869385, Time  0.412537
2021-09-09 14:11:10.807856 : Epoch  5, Batch   3602, Loss  0.862269, Average Loss  0.869170, Time  0.409008
2021-09-09 14:11:12.773815 : Epoch  5, Batch   3603, Loss  0.883379, Average Loss  0.869163, Time  0.436164
2021-09-09 14:11:14.767798 : Epoch  5, Batch   3604, Loss  0.880644, Average Loss  0.869283, Time  0.503522
2021-09-09 14:11:16.688251 : Epoch  5, Batch   3605, Loss  0.888732, Average Loss  0.869351, Time  0.408868
2021-09-09 14:11:18.593273 : Epoch  5, Batch   3606, Loss  0.872410, Average Loss  0.869252, Time  0.409412
2021-09-09 14:11:20.539784 : Epoch  5, Batch   3607, Loss  0.882996, Average Loss  0.869433, Time  0.436335
2021-09-09 14:11:22.550819 : Epoch  5, Batch   3608, Loss  0.902621, Average Loss  0.869709, Time  0.503028
2021-09-09 14:11:24.459801 : Epoch  5, Batch   3609, Loss  0.829891, Average Loss  0.869568, Time  0.412064
2021-09-09 14:11:26.376806 : Epoch  5, Batch   3610, Loss  0.915108, Average Loss  0.869753, Time  0.411699
2021-09-09 14:11:28.337792 : Epoch  5, Batch   3611, Loss  0.846432, Average Loss  0.869537, Time  0.452818
2021-09-09 14:11:30.274833 : Epoch  5, Batch   3612, Loss  0.873661, Average Loss  0.869521, Time  0.477818
2021-09-09 14:11:32.135796 : Epoch  5, Batch   3613, Loss  0.899878, Average Loss  0.869684, Time  0.375197
2021-09-09 14:11:34.008442 : Epoch  5, Batch   3614, Loss  0.874584, Average Loss  0.869817, Time  0.386853
2021-09-09 14:11:35.894863 : Epoch  5, Batch   3615, Loss  0.882482, Average Loss  0.869865, Time  0.436543
2021-09-09 14:11:37.850269 : Epoch  5, Batch   3616, Loss  0.867398, Average Loss  0.869862, Time  0.492918
2021-09-09 14:11:39.689781 : Epoch  5, Batch   3617, Loss  0.853095, Average Loss  0.869674, Time  0.373281
2021-09-09 14:11:41.537801 : Epoch  5, Batch   3618, Loss  0.838547, Average Loss  0.869696, Time  0.370908
2021-09-09 14:11:43.451791 : Epoch  5, Batch   3619, Loss  0.869036, Average Loss  0.869629, Time  0.440311
2021-09-09 14:11:45.457865 : Epoch  5, Batch   3620, Loss  0.858713, Average Loss  0.869858, Time  0.501085
2021-09-09 14:11:47.380783 : Epoch  5, Batch   3621, Loss  0.863134, Average Loss  0.869836, Time  0.411373
2021-09-09 14:11:49.291929 : Epoch  5, Batch   3622, Loss  0.868793, Average Loss  0.869867, Time  0.409613
2021-09-09 14:11:51.208782 : Epoch  5, Batch   3623, Loss  0.855718, Average Loss  0.869882, Time  0.404463
2021-09-09 14:11:53.131797 : Epoch  5, Batch   3624, Loss  0.903589, Average Loss  0.870048, Time  0.463258
2021-09-09 14:11:54.982778 : Epoch  5, Batch   3625, Loss  0.876432, Average Loss  0.870000, Time  0.375239
2021-09-09 14:11:56.814844 : Epoch  5, Batch   3626, Loss  0.847995, Average Loss  0.869792, Time  0.373198
2021-09-09 14:11:58.725807 : Epoch  5, Batch   3627, Loss  0.863059, Average Loss  0.869773, Time  0.457360
2021-09-09 14:12:00.614797 : Epoch  5, Batch   3628, Loss  0.869294, Average Loss  0.869770, Time  0.443647
2021-09-09 14:12:02.433782 : Epoch  5, Batch   3629, Loss  0.890686, Average Loss  0.869711, Time  0.376591
2021-09-09 14:12:04.344819 : Epoch  5, Batch   3630, Loss  0.855411, Average Loss  0.869654, Time  0.411050
2021-09-09 14:12:06.329860 : Epoch  5, Batch   3631, Loss  0.906951, Average Loss  0.869982, Time  0.484746
2021-09-09 14:12:08.319156 : Epoch  5, Batch   3632, Loss  0.900571, Average Loss  0.870063, Time  0.499260
2021-09-09 14:12:10.227794 : Epoch  5, Batch   3633, Loss  0.902645, Average Loss  0.870243, Time  0.411209
2021-09-09 14:12:12.143797 : Epoch  5, Batch   3634, Loss  0.867312, Average Loss  0.870217, Time  0.409436
2021-09-09 14:12:14.089786 : Epoch  5, Batch   3635, Loss  0.876724, Average Loss  0.870286, Time  0.444582
2021-09-09 14:12:16.092088 : Epoch  5, Batch   3636, Loss  0.840086, Average Loss  0.870255, Time  0.498698
2021-09-09 14:12:18.008790 : Epoch  5, Batch   3637, Loss  0.875583, Average Loss  0.870264, Time  0.408841
2021-09-09 14:12:19.924840 : Epoch  5, Batch   3638, Loss  0.896778, Average Loss  0.870499, Time  0.415032
2021-09-09 14:12:21.855058 : Epoch  5, Batch   3639, Loss  0.859765, Average Loss  0.870458, Time  0.423626
2021-09-09 14:12:23.878308 : Epoch  5, Batch   3640, Loss  0.853658, Average Loss  0.870332, Time  0.507180
2021-09-09 14:12:25.788129 : Epoch  5, Batch   3641, Loss  0.859277, Average Loss  0.870365, Time  0.407808
2021-09-09 14:12:27.709897 : Epoch  5, Batch   3642, Loss  0.866590, Average Loss  0.870465, Time  0.413157
2021-09-09 14:12:29.601787 : Epoch  5, Batch   3643, Loss  0.837158, Average Loss  0.870310, Time  0.422071
2021-09-09 14:12:31.625295 : Epoch  5, Batch   3644, Loss  0.894188, Average Loss  0.870338, Time  0.511463
2021-09-09 14:12:33.551062 : Epoch  5, Batch   3645, Loss  0.880062, Average Loss  0.870420, Time  0.409923
2021-09-09 14:12:35.469553 : Epoch  5, Batch   3646, Loss  0.877002, Average Loss  0.870513, Time  0.416089
2021-09-09 14:12:37.381948 : Epoch  5, Batch   3647, Loss  0.856540, Average Loss  0.870597, Time  0.411011
2021-09-09 14:12:39.401954 : Epoch  5, Batch   3648, Loss  0.846220, Average Loss  0.870553, Time  0.508225
2021-09-09 14:12:41.323619 : Epoch  5, Batch   3649, Loss  0.886244, Average Loss  0.870483, Time  0.411235
2021-09-09 14:12:43.228797 : Epoch  5, Batch   3650, Loss  0.881283, Average Loss  0.870460, Time  0.410164
2021-09-09 14:12:45.126790 : Epoch  5, Batch   3651, Loss  0.865804, Average Loss  0.870394, Time  0.408049
2021-09-09 14:12:47.193950 : Epoch  5, Batch   3652, Loss  0.871003, Average Loss  0.870420, Time  0.512897
2021-09-09 14:12:49.222536 : Epoch  5, Batch   3653, Loss  0.847338, Average Loss  0.870346, Time  0.503635
2021-09-09 14:12:51.152967 : Epoch  5, Batch   3654, Loss  0.869264, Average Loss  0.870451, Time  0.407744
2021-09-09 14:12:53.084486 : Epoch  5, Batch   3655, Loss  0.877273, Average Loss  0.870475, Time  0.410749
2021-09-09 14:12:54.934776 : Epoch  5, Batch   3656, Loss  0.882510, Average Loss  0.870519, Time  0.392385
2021-09-09 14:17:46.836757 : CheckPoint: Validation Loss  0.00060511, Best Loss  0.00056427
2021-09-09 14:17:48.679781 : Epoch  5, Batch   3657, Loss  0.929082, Average Loss  0.870728, Time  0.370945
2021-09-09 14:17:50.560827 : Epoch  5, Batch   3658, Loss  0.869389, Average Loss  0.870564, Time  0.384275
2021-09-09 14:17:52.491783 : Epoch  5, Batch   3659, Loss  0.845204, Average Loss  0.870294, Time  0.470509
2021-09-09 14:17:54.329775 : Epoch  5, Batch   3660, Loss  0.870370, Average Loss  0.870225, Time  0.377134
2021-09-09 14:17:56.194777 : Epoch  5, Batch   3661, Loss  0.861158, Average Loss  0.870181, Time  0.375255
2021-09-09 14:17:58.130960 : Epoch  5, Batch   3662, Loss  0.860983, Average Loss  0.870209, Time  0.478095
2021-09-09 14:18:00.077777 : Epoch  5, Batch   3663, Loss  0.852124, Average Loss  0.869999, Time  0.484299
2021-09-09 14:18:01.920799 : Epoch  5, Batch   3664, Loss  0.840445, Average Loss  0.869836, Time  0.379602
2021-09-09 14:18:03.789778 : Epoch  5, Batch   3665, Loss  0.865824, Average Loss  0.869777, Time  0.392832
2021-09-09 14:18:05.698784 : Epoch  5, Batch   3666, Loss  0.874706, Average Loss  0.869894, Time  0.452966
2021-09-09 14:18:07.625806 : Epoch  5, Batch   3667, Loss  0.869325, Average Loss  0.869870, Time  0.476286
2021-09-09 14:18:09.471177 : Epoch  5, Batch   3668, Loss  0.880652, Average Loss  0.869922, Time  0.377234
2021-09-09 14:18:11.313241 : Epoch  5, Batch   3669, Loss  0.886677, Average Loss  0.869988, Time  0.379635
2021-09-09 14:18:13.246804 : Epoch  5, Batch   3670, Loss  0.893944, Average Loss  0.869964, Time  0.482408
2021-09-09 14:18:15.076782 : Epoch  5, Batch   3671, Loss  0.883270, Average Loss  0.870001, Time  0.376385
2021-09-09 14:18:16.888774 : Epoch  5, Batch   3672, Loss  0.870823, Average Loss  0.870096, Time  0.369945
2021-09-09 14:18:18.799548 : Epoch  5, Batch   3673, Loss  0.864365, Average Loss  0.870020, Time  0.422215
2021-09-09 14:18:20.829952 : Epoch  5, Batch   3674, Loss  0.881496, Average Loss  0.870092, Time  0.528007
2021-09-09 14:18:22.765053 : Epoch  5, Batch   3675, Loss  0.831345, Average Loss  0.869754, Time  0.412660
2021-09-09 14:18:24.692545 : Epoch  5, Batch   3676, Loss  0.828627, Average Loss  0.869532, Time  0.416848
2021-09-09 14:18:26.634795 : Epoch  5, Batch   3677, Loss  0.868231, Average Loss  0.869529, Time  0.432297
2021-09-09 14:18:28.636791 : Epoch  5, Batch   3678, Loss  0.883080, Average Loss  0.869546, Time  0.505058
2021-09-09 14:18:30.561257 : Epoch  5, Batch   3679, Loss  0.875773, Average Loss  0.869535, Time  0.436106
2021-09-09 14:18:32.491821 : Epoch  5, Batch   3680, Loss  0.843595, Average Loss  0.869401, Time  0.420251
2021-09-09 14:18:34.403824 : Epoch  5, Batch   3681, Loss  0.883196, Average Loss  0.869316, Time  0.429261
2021-09-09 14:18:36.423797 : Epoch  5, Batch   3682, Loss  0.865227, Average Loss  0.869280, Time  0.513314
2021-09-09 14:18:38.315798 : Epoch  5, Batch   3683, Loss  0.863304, Average Loss  0.869271, Time  0.416311
2021-09-09 14:18:40.225788 : Epoch  5, Batch   3684, Loss  0.876420, Average Loss  0.869252, Time  0.410574
2021-09-09 14:18:42.157781 : Epoch  5, Batch   3685, Loss  0.851241, Average Loss  0.869066, Time  0.440252
2021-09-09 14:18:44.168878 : Epoch  5, Batch   3686, Loss  0.849771, Average Loss  0.868909, Time  0.505256
2021-09-09 14:18:46.052788 : Epoch  5, Batch   3687, Loss  0.865631, Average Loss  0.868995, Time  0.417331
2021-09-09 14:18:48.007804 : Epoch  5, Batch   3688, Loss  0.900478, Average Loss  0.869237, Time  0.412606
2021-09-09 14:18:49.966874 : Epoch  5, Batch   3689, Loss  0.887686, Average Loss  0.869287, Time  0.453741
2021-09-09 14:18:51.968794 : Epoch  5, Batch   3690, Loss  0.866303, Average Loss  0.869275, Time  0.500110
2021-09-09 14:18:53.876781 : Epoch  5, Batch   3691, Loss  0.877077, Average Loss  0.869234, Time  0.411389
2021-09-09 14:18:55.784815 : Epoch  5, Batch   3692, Loss  0.863980, Average Loss  0.869148, Time  0.416184
2021-09-09 14:18:57.724854 : Epoch  5, Batch   3693, Loss  0.884137, Average Loss  0.869337, Time  0.450339
2021-09-09 14:18:59.723008 : Epoch  5, Batch   3694, Loss  0.851932, Average Loss  0.869375, Time  0.505561
2021-09-09 14:19:01.626794 : Epoch  5, Batch   3695, Loss  0.871886, Average Loss  0.869630, Time  0.411954
2021-09-09 14:19:03.435525 : Epoch  5, Batch   3696, Loss  0.841186, Average Loss  0.869380, Time  0.373227
2021-09-09 14:19:05.353795 : Epoch  5, Batch   3697, Loss  0.858797, Average Loss  0.869260, Time  0.441494
2021-09-09 14:19:07.280910 : Epoch  5, Batch   3698, Loss  0.860567, Average Loss  0.869181, Time  0.481363
2021-09-09 14:19:09.098191 : Epoch  5, Batch   3699, Loss  0.867797, Average Loss  0.869286, Time  0.369025
2021-09-09 14:19:10.923292 : Epoch  5, Batch   3700, Loss  0.877854, Average Loss  0.869269, Time  0.370471
2021-09-09 14:19:12.852439 : Epoch  5, Batch   3701, Loss  0.883272, Average Loss  0.869363, Time  0.468240
2021-09-09 14:19:14.805308 : Epoch  5, Batch   3702, Loss  0.835706, Average Loss  0.869050, Time  0.473507
2021-09-09 14:19:16.648231 : Epoch  5, Batch   3703, Loss  0.889626, Average Loss  0.869227, Time  0.380994
2021-09-09 14:19:18.531842 : Epoch  5, Batch   3704, Loss  0.917170, Average Loss  0.869412, Time  0.389740
2021-09-09 14:19:20.470874 : Epoch  5, Batch   3705, Loss  0.870648, Average Loss  0.869503, Time  0.483099
2021-09-09 14:19:22.419802 : Epoch  5, Batch   3706, Loss  0.864351, Average Loss  0.869627, Time  0.490927
2021-09-09 14:19:24.278084 : Epoch  5, Batch   3707, Loss  0.845783, Average Loss  0.869429, Time  0.369384
2021-09-09 14:19:26.107785 : Epoch  5, Batch   3708, Loss  0.878554, Average Loss  0.869457, Time  0.391442
2021-09-09 14:19:28.025283 : Epoch  5, Batch   3709, Loss  0.873639, Average Loss  0.869638, Time  0.454652
2021-09-09 14:19:30.044501 : Epoch  5, Batch   3710, Loss  0.875106, Average Loss  0.869702, Time  0.511513
2021-09-09 14:19:31.949268 : Epoch  5, Batch   3711, Loss  0.888166, Average Loss  0.869821, Time  0.409104
2021-09-09 14:19:32.041660 : Saving Model after 5-th Epoch.
2021-09-09 14:19:35.979683 : Epoch Finished.
2021-09-09 14:19:41.642690 : Batch Shuffled
2021-09-09 14:19:43.456836 : Epoch  6, Batch      1, Loss  0.862842, Average Loss  0.869703, Time  0.370291
2021-09-09 14:19:45.296869 : Epoch  6, Batch      2, Loss  0.861720, Average Loss  0.869480, Time  0.372242
2021-09-09 14:19:47.234794 : Epoch  6, Batch      3, Loss  0.850627, Average Loss  0.869315, Time  0.472623
2021-09-09 14:19:49.092560 : Epoch  6, Batch      4, Loss  0.886177, Average Loss  0.869411, Time  0.386931
2021-09-09 14:19:50.902375 : Epoch  6, Batch      5, Loss  0.863904, Average Loss  0.869414, Time  0.375672
2021-09-09 14:19:52.783266 : Epoch  6, Batch      6, Loss  0.856113, Average Loss  0.869485, Time  0.408273
2021-09-09 14:19:54.726911 : Epoch  6, Batch      7, Loss  0.880865, Average Loss  0.869668, Time  0.475211
2021-09-09 14:19:56.562977 : Epoch  6, Batch      8, Loss  0.874974, Average Loss  0.869800, Time  0.370630
2021-09-09 14:19:58.384776 : Epoch  6, Batch      9, Loss  0.865187, Average Loss  0.869893, Time  0.367139
2021-09-09 14:20:00.257296 : Epoch  6, Batch     10, Loss  0.856735, Average Loss  0.869851, Time  0.437403
2021-09-09 14:20:02.228783 : Epoch  6, Batch     11, Loss  0.865770, Average Loss  0.869708, Time  0.484570
2021-09-09 14:20:04.073796 : Epoch  6, Batch     12, Loss  0.853286, Average Loss  0.869496, Time  0.377904
2021-09-09 14:20:05.899103 : Epoch  6, Batch     13, Loss  0.887405, Average Loss  0.869664, Time  0.370623
2021-09-09 14:20:07.800786 : Epoch  6, Batch     14, Loss  0.855701, Average Loss  0.869541, Time  0.434696
2021-09-09 14:20:09.738796 : Epoch  6, Batch     15, Loss  0.870117, Average Loss  0.869419, Time  0.474083
2021-09-09 14:20:11.567781 : Epoch  6, Batch     16, Loss  0.881358, Average Loss  0.869575, Time  0.373966
2021-09-09 14:20:13.378778 : Epoch  6, Batch     17, Loss  0.888713, Average Loss  0.869729, Time  0.369039
2021-09-09 14:20:15.298864 : Epoch  6, Batch     18, Loss  0.867636, Average Loss  0.869654, Time  0.460926
2021-09-09 14:20:17.232543 : Epoch  6, Batch     19, Loss  0.866716, Average Loss  0.869553, Time  0.467870
2021-09-09 14:20:19.126988 : Epoch  6, Batch     20, Loss  0.857709, Average Loss  0.869521, Time  0.411859
2021-09-09 14:20:21.023872 : Epoch  6, Batch     21, Loss  0.857418, Average Loss  0.869492, Time  0.417202
2021-09-09 14:20:22.970371 : Epoch  6, Batch     22, Loss  0.855495, Average Loss  0.869539, Time  0.428276
2021-09-09 14:20:24.996817 : Epoch  6, Batch     23, Loss  0.852075, Average Loss  0.869384, Time  0.519521
2021-09-09 14:20:26.908535 : Epoch  6, Batch     24, Loss  0.883005, Average Loss  0.869560, Time  0.405660
2021-09-09 14:20:28.819250 : Epoch  6, Batch     25, Loss  0.882987, Average Loss  0.869567, Time  0.422641
2021-09-09 14:20:30.766515 : Epoch  6, Batch     26, Loss  0.894563, Average Loss  0.869630, Time  0.423539
2021-09-09 14:20:32.759868 : Epoch  6, Batch     27, Loss  0.846452, Average Loss  0.869560, Time  0.500224
2021-09-09 14:20:34.698388 : Epoch  6, Batch     28, Loss  0.845632, Average Loss  0.869467, Time  0.445354
2021-09-09 14:20:36.602278 : Epoch  6, Batch     29, Loss  0.849821, Average Loss  0.869344, Time  0.414145
2021-09-09 14:20:38.516795 : Epoch  6, Batch     30, Loss  0.829807, Average Loss  0.869211, Time  0.409937
2021-09-09 14:20:40.535437 : Epoch  6, Batch     31, Loss  0.856153, Average Loss  0.869197, Time  0.519201
2021-09-09 14:20:42.536956 : Epoch  6, Batch     32, Loss  0.835066, Average Loss  0.869007, Time  0.505883
2021-09-09 14:20:44.414792 : Epoch  6, Batch     33, Loss  0.843895, Average Loss  0.868920, Time  0.373416
2021-09-09 14:20:46.243167 : Epoch  6, Batch     34, Loss  0.852987, Average Loss  0.868890, Time  0.369358
2021-09-09 14:20:48.135780 : Epoch  6, Batch     35, Loss  0.886497, Average Loss  0.869015, Time  0.422156
2021-09-09 14:20:50.111182 : Epoch  6, Batch     36, Loss  0.857427, Average Loss  0.868932, Time  0.475384
2021-09-09 14:20:52.008795 : Epoch  6, Batch     37, Loss  0.865625, Average Loss  0.868998, Time  0.414780
2021-09-09 14:20:53.899018 : Epoch  6, Batch     38, Loss  0.923293, Average Loss  0.869224, Time  0.399536
2021-09-09 14:20:55.771780 : Epoch  6, Batch     39, Loss  0.892057, Average Loss  0.869231, Time  0.417898
2021-09-09 14:20:57.726779 : Epoch  6, Batch     40, Loss  0.843002, Average Loss  0.868936, Time  0.485813
2021-09-09 14:20:59.556773 : Epoch  6, Batch     41, Loss  0.831866, Average Loss  0.868670, Time  0.384665
2021-09-09 14:21:01.394799 : Epoch  6, Batch     42, Loss  0.833618, Average Loss  0.868536, Time  0.380651
2021-09-09 14:21:03.293264 : Epoch  6, Batch     43, Loss  0.889840, Average Loss  0.868631, Time  0.440346
2021-09-09 14:21:05.228775 : Epoch  6, Batch     44, Loss  0.871038, Average Loss  0.868785, Time  0.476573
2021-09-09 14:21:07.076826 : Epoch  6, Batch     45, Loss  0.864662, Average Loss  0.868738, Time  0.381008
2021-09-09 14:25:58.943751 : CheckPoint: Validation Loss  0.00062333, Best Loss  0.00056427
2021-09-09 14:26:00.949823 : Epoch  6, Batch     46, Loss  0.891684, Average Loss  0.868794, Time  0.510215
2021-09-09 14:26:02.883816 : Epoch  6, Batch     47, Loss  0.871137, Average Loss  0.868799, Time  0.430649
2021-09-09 14:26:04.802791 : Epoch  6, Batch     48, Loss  0.862490, Average Loss  0.868740, Time  0.410025
2021-09-09 14:26:06.722265 : Epoch  6, Batch     49, Loss  0.882959, Average Loss  0.868821, Time  0.407001
2021-09-09 14:26:08.701853 : Epoch  6, Batch     50, Loss  0.841197, Average Loss  0.868780, Time  0.498649
2021-09-09 14:26:10.689792 : Epoch  6, Batch     51, Loss  0.894038, Average Loss  0.868808, Time  0.500159
2021-09-09 14:26:12.584817 : Epoch  6, Batch     52, Loss  0.826770, Average Loss  0.868627, Time  0.410358
2021-09-09 14:26:14.486809 : Epoch  6, Batch     53, Loss  0.873435, Average Loss  0.868707, Time  0.408237
2021-09-09 14:26:16.429288 : Epoch  6, Batch     54, Loss  0.880109, Average Loss  0.868672, Time  0.434688
2021-09-09 14:26:18.448798 : Epoch  6, Batch     55, Loss  0.882767, Average Loss  0.868753, Time  0.506716
2021-09-09 14:26:20.352803 : Epoch  6, Batch     56, Loss  0.878838, Average Loss  0.868753, Time  0.411638
2021-09-09 14:26:22.264812 : Epoch  6, Batch     57, Loss  0.904167, Average Loss  0.868762, Time  0.415514
2021-09-09 14:26:24.201298 : Epoch  6, Batch     58, Loss  0.841897, Average Loss  0.868716, Time  0.419888
2021-09-09 14:26:26.205849 : Epoch  6, Batch     59, Loss  0.834048, Average Loss  0.868471, Time  0.508364
2021-09-09 14:26:28.012564 : Epoch  6, Batch     60, Loss  0.831495, Average Loss  0.868180, Time  0.370842
2021-09-09 14:26:29.833781 : Epoch  6, Batch     61, Loss  0.892186, Average Loss  0.868402, Time  0.368488
2021-09-09 14:26:31.734776 : Epoch  6, Batch     62, Loss  0.883604, Average Loss  0.868414, Time  0.431983
2021-09-09 14:26:33.651909 : Epoch  6, Batch     63, Loss  0.864353, Average Loss  0.868495, Time  0.467496
2021-09-09 14:26:35.500620 : Epoch  6, Batch     64, Loss  0.894029, Average Loss  0.868622, Time  0.386795
2021-09-09 14:26:37.342807 : Epoch  6, Batch     65, Loss  0.881756, Average Loss  0.868755, Time  0.383010
2021-09-09 14:26:39.253945 : Epoch  6, Batch     66, Loss  0.884389, Average Loss  0.868826, Time  0.454583
2021-09-09 14:26:41.184794 : Epoch  6, Batch     67, Loss  0.844043, Average Loss  0.868719, Time  0.471895
2021-09-09 14:26:43.017723 : Epoch  6, Batch     68, Loss  0.859488, Average Loss  0.868609, Time  0.378657
2021-09-09 14:26:44.925785 : Epoch  6, Batch     69, Loss  0.861170, Average Loss  0.868660, Time  0.410573
2021-09-09 14:26:46.897316 : Epoch  6, Batch     70, Loss  0.852178, Average Loss  0.868553, Time  0.468508
2021-09-09 14:26:48.914970 : Epoch  6, Batch     71, Loss  0.858472, Average Loss  0.868697, Time  0.507230
2021-09-09 14:26:50.824587 : Epoch  6, Batch     72, Loss  0.883948, Average Loss  0.868780, Time  0.411086
2021-09-09 14:26:52.733790 : Epoch  6, Batch     73, Loss  0.898940, Average Loss  0.869009, Time  0.410202
2021-09-09 14:26:54.646785 : Epoch  6, Batch     74, Loss  0.846846, Average Loss  0.868870, Time  0.411538
2021-09-09 14:26:56.652075 : Epoch  6, Batch     75, Loss  0.899154, Average Loss  0.869064, Time  0.504706
2021-09-09 14:26:58.576044 : Epoch  6, Batch     76, Loss  0.867463, Average Loss  0.868938, Time  0.413244
2021-09-09 14:27:00.528808 : Epoch  6, Batch     77, Loss  0.836671, Average Loss  0.868760, Time  0.409555
2021-09-09 14:27:02.442824 : Epoch  6, Batch     78, Loss  0.859985, Average Loss  0.868822, Time  0.410491
2021-09-09 14:27:04.454351 : Epoch  6, Batch     79, Loss  0.877220, Average Loss  0.868842, Time  0.504766
2021-09-09 14:27:06.366948 : Epoch  6, Batch     80, Loss  0.859867, Average Loss  0.868774, Time  0.412404
2021-09-09 14:27:08.279336 : Epoch  6, Batch     81, Loss  0.872398, Average Loss  0.868735, Time  0.410313
2021-09-09 14:27:10.211924 : Epoch  6, Batch     82, Loss  0.882042, Average Loss  0.868808, Time  0.411607
2021-09-09 14:27:12.222322 : Epoch  6, Batch     83, Loss  0.914577, Average Loss  0.869068, Time  0.506919
2021-09-09 14:27:14.158375 : Epoch  6, Batch     84, Loss  0.878397, Average Loss  0.869096, Time  0.429086
2021-09-09 14:27:16.087814 : Epoch  6, Batch     85, Loss  0.871459, Average Loss  0.869156, Time  0.415040
2021-09-09 14:27:17.985997 : Epoch  6, Batch     86, Loss  0.882359, Average Loss  0.869186, Time  0.408540
2021-09-09 14:27:19.985407 : Epoch  6, Batch     87, Loss  0.864208, Average Loss  0.869178, Time  0.500937
2021-09-09 14:27:21.954878 : Epoch  6, Batch     88, Loss  0.872855, Average Loss  0.869217, Time  0.499269
2021-09-09 14:27:23.855784 : Epoch  6, Batch     89, Loss  0.851844, Average Loss  0.869131, Time  0.413068
2021-09-09 14:27:25.750788 : Epoch  6, Batch     90, Loss  0.885415, Average Loss  0.869235, Time  0.409773
2021-09-09 14:27:27.727797 : Epoch  6, Batch     91, Loss  0.855691, Average Loss  0.869202, Time  0.488400
2021-09-09 14:27:29.714812 : Epoch  6, Batch     92, Loss  0.862366, Average Loss  0.869097, Time  0.498268
2021-09-09 14:27:31.641805 : Epoch  6, Batch     93, Loss  0.863662, Average Loss  0.869012, Time  0.417717
2021-09-09 14:27:33.523954 : Epoch  6, Batch     94, Loss  0.882602, Average Loss  0.868981, Time  0.409069
2021-09-09 14:27:35.484134 : Epoch  6, Batch     95, Loss  0.863169, Average Loss  0.868935, Time  0.446792
2021-09-09 14:27:37.476818 : Epoch  6, Batch     96, Loss  0.877474, Average Loss  0.868908, Time  0.501166
2021-09-09 14:27:39.373001 : Epoch  6, Batch     97, Loss  0.874451, Average Loss  0.868767, Time  0.410028
2021-09-09 14:27:41.285847 : Epoch  6, Batch     98, Loss  0.865822, Average Loss  0.868946, Time  0.414294
2021-09-09 14:27:43.199790 : Epoch  6, Batch     99, Loss  0.871145, Average Loss  0.868727, Time  0.436228
2021-09-09 14:27:45.185926 : Epoch  6, Batch    100, Loss  0.874740, Average Loss  0.868868, Time  0.505875
2021-09-09 14:27:47.023453 : Epoch  6, Batch    101, Loss  0.874751, Average Loss  0.868874, Time  0.387292
2021-09-09 14:27:48.854082 : Epoch  6, Batch    102, Loss  0.846770, Average Loss  0.868608, Time  0.381847
2021-09-09 14:27:50.780872 : Epoch  6, Batch    103, Loss  0.857084, Average Loss  0.868521, Time  0.419446
2021-09-09 14:27:52.766791 : Epoch  6, Batch    104, Loss  0.856477, Average Loss  0.868390, Time  0.478384
2021-09-09 14:27:54.627915 : Epoch  6, Batch    105, Loss  0.855941, Average Loss  0.868333, Time  0.384391
2021-09-09 14:27:56.470834 : Epoch  6, Batch    106, Loss  0.841847, Average Loss  0.868277, Time  0.376807
2021-09-09 14:27:58.403425 : Epoch  6, Batch    107, Loss  0.854725, Average Loss  0.868358, Time  0.446936
2021-09-09 14:28:00.329842 : Epoch  6, Batch    108, Loss  0.884036, Average Loss  0.868433, Time  0.474042
2021-09-09 14:28:02.227587 : Epoch  6, Batch    109, Loss  0.842989, Average Loss  0.868354, Time  0.380439
2021-09-09 14:28:04.055790 : Epoch  6, Batch    110, Loss  0.886640, Average Loss  0.868472, Time  0.370050
2021-09-09 14:28:06.002955 : Epoch  6, Batch    111, Loss  0.863494, Average Loss  0.868445, Time  0.482983
2021-09-09 14:28:07.893275 : Epoch  6, Batch    112, Loss  0.874828, Average Loss  0.868541, Time  0.440898
2021-09-09 14:28:09.738815 : Epoch  6, Batch    113, Loss  0.870983, Average Loss  0.868378, Time  0.373752
2021-09-09 14:28:11.568231 : Epoch  6, Batch    114, Loss  0.881244, Average Loss  0.868402, Time  0.371945
2021-09-09 14:28:13.517890 : Epoch  6, Batch    115, Loss  0.847381, Average Loss  0.868399, Time  0.490924
2021-09-09 14:28:15.452800 : Epoch  6, Batch    116, Loss  0.860104, Average Loss  0.868384, Time  0.461771
2021-09-09 14:28:17.318784 : Epoch  6, Batch    117, Loss  0.869973, Average Loss  0.868387, Time  0.387407
2021-09-09 14:28:19.170799 : Epoch  6, Batch    118, Loss  0.881673, Average Loss  0.868342, Time  0.384528
2021-09-09 14:28:21.103804 : Epoch  6, Batch    119, Loss  0.882812, Average Loss  0.868479, Time  0.473019
2021-09-09 14:28:23.069796 : Epoch  6, Batch    120, Loss  0.873731, Average Loss  0.868313, Time  0.497476
2021-09-09 14:28:24.902778 : Epoch  6, Batch    121, Loss  0.867871, Average Loss  0.868150, Time  0.379255
2021-09-09 14:28:26.762793 : Epoch  6, Batch    122, Loss  0.880037, Average Loss  0.868037, Time  0.391917
2021-09-09 14:28:28.685803 : Epoch  6, Batch    123, Loss  0.860437, Average Loss  0.868002, Time  0.464054
2021-09-09 14:28:30.632831 : Epoch  6, Batch    124, Loss  0.840495, Average Loss  0.867821, Time  0.484871
2021-09-09 14:28:32.468779 : Epoch  6, Batch    125, Loss  0.882501, Average Loss  0.868033, Time  0.383500
2021-09-09 14:28:34.308809 : Epoch  6, Batch    126, Loss  0.879929, Average Loss  0.868055, Time  0.376519
2021-09-09 14:28:36.222798 : Epoch  6, Batch    127, Loss  0.871103, Average Loss  0.867927, Time  0.464314
2021-09-09 14:28:38.139779 : Epoch  6, Batch    128, Loss  0.885812, Average Loss  0.868057, Time  0.470190
2021-09-09 14:28:39.964197 : Epoch  6, Batch    129, Loss  0.854602, Average Loss  0.868062, Time  0.384244
2021-09-09 14:28:41.811974 : Epoch  6, Batch    130, Loss  0.883028, Average Loss  0.868180, Time  0.381722
2021-09-09 14:28:43.745909 : Epoch  6, Batch    131, Loss  0.874619, Average Loss  0.868220, Time  0.475107
2021-09-09 14:28:45.674804 : Epoch  6, Batch    132, Loss  0.869554, Average Loss  0.868382, Time  0.483976
2021-09-09 14:28:47.531780 : Epoch  6, Batch    133, Loss  0.840386, Average Loss  0.868113, Time  0.377368
2021-09-09 14:28:49.381262 : Epoch  6, Batch    134, Loss  0.854212, Average Loss  0.867984, Time  0.376915
2021-09-09 14:28:51.320814 : Epoch  6, Batch    135, Loss  0.878686, Average Loss  0.867993, Time  0.465170
2021-09-09 14:28:53.248800 : Epoch  6, Batch    136, Loss  0.850989, Average Loss  0.867965, Time  0.470568
2021-09-09 14:28:55.082773 : Epoch  6, Batch    137, Loss  0.853602, Average Loss  0.868002, Time  0.376109
2021-09-09 14:28:56.906791 : Epoch  6, Batch    138, Loss  0.873069, Average Loss  0.867936, Time  0.372961
2021-09-09 14:28:58.818795 : Epoch  6, Batch    139, Loss  0.878957, Average Loss  0.867924, Time  0.458865
2021-09-09 14:29:00.748793 : Epoch  6, Batch    140, Loss  0.837130, Average Loss  0.867781, Time  0.471200
2021-09-09 14:29:02.601800 : Epoch  6, Batch    141, Loss  0.875619, Average Loss  0.867804, Time  0.372654
2021-09-09 14:29:04.443240 : Epoch  6, Batch    142, Loss  0.897961, Average Loss  0.868057, Time  0.374342
2021-09-09 14:29:06.338778 : Epoch  6, Batch    143, Loss  0.868401, Average Loss  0.868053, Time  0.458496
2021-09-09 14:29:08.256251 : Epoch  6, Batch    144, Loss  0.866480, Average Loss  0.867999, Time  0.464523
2021-09-09 14:29:10.082795 : Epoch  6, Batch    145, Loss  0.868762, Average Loss  0.867930, Time  0.366744
2021-09-09 14:34:01.100180 : CheckPoint: Validation Loss  0.00060609, Best Loss  0.00056427
2021-09-09 14:34:02.926080 : Epoch  6, Batch    146, Loss  0.856156, Average Loss  0.867565, Time  0.368579
2021-09-09 14:34:04.746098 : Epoch  6, Batch    147, Loss  0.864096, Average Loss  0.867539, Time  0.372046
2021-09-09 14:34:06.636012 : Epoch  6, Batch    148, Loss  0.883565, Average Loss  0.867731, Time  0.432711
2021-09-09 14:34:08.568798 : Epoch  6, Batch    149, Loss  0.872918, Average Loss  0.867743, Time  0.469649
2021-09-09 14:34:10.403084 : Epoch  6, Batch    150, Loss  0.886187, Average Loss  0.867869, Time  0.369367
2021-09-09 14:34:12.244007 : Epoch  6, Batch    151, Loss  0.841759, Average Loss  0.867773, Time  0.371092
2021-09-09 14:34:14.153778 : Epoch  6, Batch    152, Loss  0.882591, Average Loss  0.867925, Time  0.442154
2021-09-09 14:34:16.077859 : Epoch  6, Batch    153, Loss  0.886554, Average Loss  0.868155, Time  0.473572
2021-09-09 14:34:17.964990 : Epoch  6, Batch    154, Loss  0.863722, Average Loss  0.868145, Time  0.414213
2021-09-09 14:34:19.833788 : Epoch  6, Batch    155, Loss  0.869937, Average Loss  0.868121, Time  0.410259
2021-09-09 14:34:21.790569 : Epoch  6, Batch    156, Loss  0.889944, Average Loss  0.868224, Time  0.478729
2021-09-09 14:34:23.784991 : Epoch  6, Batch    157, Loss  0.861528, Average Loss  0.868129, Time  0.509846
2021-09-09 14:34:25.713152 : Epoch  6, Batch    158, Loss  0.872838, Average Loss  0.868059, Time  0.416551
2021-09-09 14:34:27.662820 : Epoch  6, Batch    159, Loss  0.854797, Average Loss  0.867864, Time  0.428139
2021-09-09 14:34:29.621848 : Epoch  6, Batch    160, Loss  0.850304, Average Loss  0.867699, Time  0.436440
2021-09-09 14:34:31.646827 : Epoch  6, Batch    161, Loss  0.895790, Average Loss  0.867824, Time  0.524855
2021-09-09 14:34:33.611553 : Epoch  6, Batch    162, Loss  0.848435, Average Loss  0.867744, Time  0.451167
2021-09-09 14:34:35.531807 : Epoch  6, Batch    163, Loss  0.866911, Average Loss  0.867671, Time  0.422285
2021-09-09 14:34:37.464821 : Epoch  6, Batch    164, Loss  0.867015, Average Loss  0.867849, Time  0.420252
2021-09-09 14:34:39.485900 : Epoch  6, Batch    165, Loss  0.899933, Average Loss  0.868206, Time  0.517931
2021-09-09 14:34:41.469214 : Epoch  6, Batch    166, Loss  0.839304, Average Loss  0.868061, Time  0.508573
2021-09-09 14:34:43.404800 : Epoch  6, Batch    167, Loss  0.883883, Average Loss  0.868065, Time  0.433297
2021-09-09 14:34:45.332800 : Epoch  6, Batch    168, Loss  0.860881, Average Loss  0.867991, Time  0.433569
2021-09-09 14:34:47.286804 : Epoch  6, Batch    169, Loss  0.862611, Average Loss  0.868086, Time  0.452222
2021-09-09 14:34:49.326024 : Epoch  6, Batch    170, Loss  0.870367, Average Loss  0.868022, Time  0.547191
2021-09-09 14:34:51.156900 : Epoch  6, Batch    171, Loss  0.857923, Average Loss  0.867985, Time  0.376210
2021-09-09 14:34:53.003826 : Epoch  6, Batch    172, Loss  0.851770, Average Loss  0.867928, Time  0.376113
2021-09-09 14:34:54.889775 : Epoch  6, Batch    173, Loss  0.869421, Average Loss  0.867893, Time  0.429169
2021-09-09 14:34:56.833779 : Epoch  6, Batch    174, Loss  0.873753, Average Loss  0.868005, Time  0.470963
2021-09-09 14:34:58.676784 : Epoch  6, Batch    175, Loss  0.893478, Average Loss  0.868224, Time  0.374535
2021-09-09 14:35:00.509778 : Epoch  6, Batch    176, Loss  0.862734, Average Loss  0.868209, Time  0.371040
2021-09-09 14:35:02.447786 : Epoch  6, Batch    177, Loss  0.866445, Average Loss  0.868039, Time  0.450850
2021-09-09 14:35:04.378784 : Epoch  6, Batch    178, Loss  0.848866, Average Loss  0.867845, Time  0.468715
2021-09-09 14:35:06.215826 : Epoch  6, Batch    179, Loss  0.868674, Average Loss  0.867857, Time  0.373932
2021-09-09 14:35:08.042775 : Epoch  6, Batch    180, Loss  0.842691, Average Loss  0.867685, Time  0.366163
2021-09-09 14:35:09.950067 : Epoch  6, Batch    181, Loss  0.879708, Average Loss  0.867763, Time  0.471136
2021-09-09 14:35:11.954000 : Epoch  6, Batch    182, Loss  0.876489, Average Loss  0.867725, Time  0.515217
2021-09-09 14:35:13.848242 : Epoch  6, Batch    183, Loss  0.855572, Average Loss  0.867743, Time  0.408946
2021-09-09 14:35:15.777850 : Epoch  6, Batch    184, Loss  0.876284, Average Loss  0.867765, Time  0.409981
2021-09-09 14:35:17.709068 : Epoch  6, Batch    185, Loss  0.897591, Average Loss  0.868047, Time  0.423687
2021-09-09 14:35:19.722821 : Epoch  6, Batch    186, Loss  0.862617, Average Loss  0.868067, Time  0.505768
2021-09-09 14:35:21.638430 : Epoch  6, Batch    187, Loss  0.857944, Average Loss  0.868053, Time  0.406029
2021-09-09 14:35:23.471776 : Epoch  6, Batch    188, Loss  0.886980, Average Loss  0.868149, Time  0.369122
2021-09-09 14:35:25.385120 : Epoch  6, Batch    189, Loss  0.879283, Average Loss  0.868157, Time  0.435061
2021-09-09 14:35:27.385821 : Epoch  6, Batch    190, Loss  0.881082, Average Loss  0.868146, Time  0.508474
2021-09-09 14:35:29.299930 : Epoch  6, Batch    191, Loss  0.848011, Average Loss  0.868207, Time  0.408323
2021-09-09 14:35:31.221890 : Epoch  6, Batch    192, Loss  0.863289, Average Loss  0.868075, Time  0.411920
2021-09-09 14:35:33.127523 : Epoch  6, Batch    193, Loss  0.861941, Average Loss  0.867799, Time  0.415077
2021-09-09 14:35:35.023783 : Epoch  6, Batch    194, Loss  0.842757, Average Loss  0.867660, Time  0.469107
2021-09-09 14:35:36.852064 : Epoch  6, Batch    195, Loss  0.885045, Average Loss  0.867763, Time  0.373583
2021-09-09 14:35:38.691842 : Epoch  6, Batch    196, Loss  0.855290, Average Loss  0.867811, Time  0.374792
2021-09-09 14:35:40.581812 : Epoch  6, Batch    197, Loss  0.874222, Average Loss  0.867789, Time  0.440120
2021-09-09 14:35:42.485061 : Epoch  6, Batch    198, Loss  0.887609, Average Loss  0.867859, Time  0.464990
2021-09-09 14:35:44.393969 : Epoch  6, Batch    199, Loss  0.860314, Average Loss  0.867785, Time  0.424916
2021-09-09 14:35:46.292990 : Epoch  6, Batch    200, Loss  0.866810, Average Loss  0.867678, Time  0.424437
2021-09-09 14:35:48.327396 : Epoch  6, Batch    201, Loss  0.862152, Average Loss  0.867675, Time  0.553341
2021-09-09 14:35:50.328815 : Epoch  6, Batch    202, Loss  0.852153, Average Loss  0.867627, Time  0.505973
2021-09-09 14:35:52.278063 : Epoch  6, Batch    203, Loss  0.892368, Average Loss  0.867836, Time  0.445004
2021-09-09 14:35:54.203050 : Epoch  6, Batch    204, Loss  0.868907, Average Loss  0.867749, Time  0.425882
2021-09-09 14:35:56.148810 : Epoch  6, Batch    205, Loss  0.860770, Average Loss  0.867734, Time  0.439836
2021-09-09 14:35:58.175637 : Epoch  6, Batch    206, Loss  0.871866, Average Loss  0.867812, Time  0.523776
2021-09-09 14:36:00.075807 : Epoch  6, Batch    207, Loss  0.871453, Average Loss  0.867765, Time  0.403281
2021-09-09 14:36:01.980230 : Epoch  6, Batch    208, Loss  0.853823, Average Loss  0.867660, Time  0.413438
2021-09-09 14:36:03.927859 : Epoch  6, Batch    209, Loss  0.874477, Average Loss  0.867706, Time  0.410758
2021-09-09 14:36:05.936056 : Epoch  6, Batch    210, Loss  0.858227, Average Loss  0.867714, Time  0.505136
2021-09-09 14:36:07.807819 : Epoch  6, Batch    211, Loss  0.866083, Average Loss  0.867715, Time  0.391367
2021-09-09 14:36:09.722980 : Epoch  6, Batch    212, Loss  0.851887, Average Loss  0.867708, Time  0.411005
2021-09-09 14:36:11.632113 : Epoch  6, Batch    213, Loss  0.896082, Average Loss  0.867751, Time  0.410934
2021-09-09 14:36:13.633153 : Epoch  6, Batch    214, Loss  0.878825, Average Loss  0.867867, Time  0.505432
2021-09-09 14:36:15.541819 : Epoch  6, Batch    215, Loss  0.859946, Average Loss  0.867816, Time  0.417293
2021-09-09 14:36:17.435231 : Epoch  6, Batch    216, Loss  0.867880, Average Loss  0.867749, Time  0.412360
2021-09-09 14:36:19.370860 : Epoch  6, Batch    217, Loss  0.856787, Average Loss  0.867589, Time  0.442468
2021-09-09 14:36:21.368969 : Epoch  6, Batch    218, Loss  0.898233, Average Loss  0.867742, Time  0.504004
2021-09-09 14:36:23.268783 : Epoch  6, Batch    219, Loss  0.854001, Average Loss  0.867679, Time  0.406326
2021-09-09 14:36:25.160186 : Epoch  6, Batch    220, Loss  0.873101, Average Loss  0.867756, Time  0.410232
2021-09-09 14:36:27.106815 : Epoch  6, Batch    221, Loss  0.852826, Average Loss  0.867733, Time  0.453038
2021-09-09 14:36:29.102305 : Epoch  6, Batch    222, Loss  0.867164, Average Loss  0.867791, Time  0.509284
2021-09-09 14:36:31.015893 : Epoch  6, Batch    223, Loss  0.864926, Average Loss  0.867855, Time  0.415504
2021-09-09 14:36:32.928819 : Epoch  6, Batch    224, Loss  0.869206, Average Loss  0.867786, Time  0.409384
2021-09-09 14:36:34.867251 : Epoch  6, Batch    225, Loss  0.840470, Average Loss  0.867574, Time  0.447286
2021-09-09 14:36:36.875957 : Epoch  6, Batch    226, Loss  0.867162, Average Loss  0.867437, Time  0.500408
2021-09-09 14:36:38.780826 : Epoch  6, Batch    227, Loss  0.843574, Average Loss  0.867422, Time  0.414090
2021-09-09 14:36:40.691992 : Epoch  6, Batch    228, Loss  0.853358, Average Loss  0.867461, Time  0.405818
2021-09-09 14:36:42.617785 : Epoch  6, Batch    229, Loss  0.902298, Average Loss  0.867723, Time  0.438609
2021-09-09 14:36:44.571815 : Epoch  6, Batch    230, Loss  0.892529, Average Loss  0.868037, Time  0.501466
2021-09-09 14:36:46.511214 : Epoch  6, Batch    231, Loss  0.866068, Average Loss  0.868086, Time  0.413671
2021-09-09 14:36:48.422153 : Epoch  6, Batch    232, Loss  0.842397, Average Loss  0.868123, Time  0.416426
2021-09-09 14:36:50.347851 : Epoch  6, Batch    233, Loss  0.844103, Average Loss  0.868124, Time  0.432061
2021-09-09 14:36:52.369540 : Epoch  6, Batch    234, Loss  0.882396, Average Loss  0.868271, Time  0.507229
2021-09-09 14:36:54.287489 : Epoch  6, Batch    235, Loss  0.901090, Average Loss  0.868344, Time  0.409024
2021-09-09 14:36:56.199983 : Epoch  6, Batch    236, Loss  0.869863, Average Loss  0.868406, Time  0.406870
2021-09-09 14:36:58.112899 : Epoch  6, Batch    237, Loss  0.888434, Average Loss  0.868520, Time  0.427335
2021-09-09 14:37:00.122822 : Epoch  6, Batch    238, Loss  0.849422, Average Loss  0.868151, Time  0.504695
2021-09-09 14:37:02.031980 : Epoch  6, Batch    239, Loss  0.864208, Average Loss  0.868012, Time  0.412609
2021-09-09 14:37:03.974132 : Epoch  6, Batch    240, Loss  0.850468, Average Loss  0.868049, Time  0.410247
2021-09-09 14:37:05.896812 : Epoch  6, Batch    241, Loss  0.859500, Average Loss  0.868187, Time  0.413082
2021-09-09 14:37:07.912949 : Epoch  6, Batch    242, Loss  0.843648, Average Loss  0.868237, Time  0.502593
2021-09-09 14:37:09.817950 : Epoch  6, Batch    243, Loss  0.870471, Average Loss  0.868141, Time  0.409016
2021-09-09 14:37:11.724811 : Epoch  6, Batch    244, Loss  0.855975, Average Loss  0.868065, Time  0.413443
2021-09-09 14:37:13.627791 : Epoch  6, Batch    245, Loss  0.890522, Average Loss  0.868195, Time  0.411454
2021-09-09 14:42:04.890723 : CheckPoint: Validation Loss  0.00059848, Best Loss  0.00056427
2021-09-09 14:42:06.728825 : Epoch  6, Batch    246, Loss  0.860008, Average Loss  0.868036, Time  0.373177
2021-09-09 14:42:08.566874 : Epoch  6, Batch    247, Loss  0.883782, Average Loss  0.868099, Time  0.372449
2021-09-09 14:42:10.495901 : Epoch  6, Batch    248, Loss  0.854055, Average Loss  0.868057, Time  0.472544
2021-09-09 14:42:12.416802 : Epoch  6, Batch    249, Loss  0.858954, Average Loss  0.867937, Time  0.469167
2021-09-09 14:42:14.268855 : Epoch  6, Batch    250, Loss  0.874638, Average Loss  0.868104, Time  0.375589
2021-09-09 14:42:16.116800 : Epoch  6, Batch    251, Loss  0.834581, Average Loss  0.867807, Time  0.371249
2021-09-09 14:42:18.025953 : Epoch  6, Batch    252, Loss  0.863728, Average Loss  0.867992, Time  0.475649
2021-09-09 14:42:19.906802 : Epoch  6, Batch    253, Loss  0.875774, Average Loss  0.868004, Time  0.446122
2021-09-09 14:42:21.738034 : Epoch  6, Batch    254, Loss  0.866386, Average Loss  0.867935, Time  0.371344
2021-09-09 14:42:23.602248 : Epoch  6, Batch    255, Loss  0.885780, Average Loss  0.867950, Time  0.391209
2021-09-09 14:42:25.522667 : Epoch  6, Batch    256, Loss  0.865196, Average Loss  0.867882, Time  0.466721
2021-09-09 14:42:27.465701 : Epoch  6, Batch    257, Loss  0.898024, Average Loss  0.867851, Time  0.474679
2021-09-09 14:42:29.310867 : Epoch  6, Batch    258, Loss  0.845787, Average Loss  0.867871, Time  0.371894
2021-09-09 14:42:31.146020 : Epoch  6, Batch    259, Loss  0.856172, Average Loss  0.867981, Time  0.371468
2021-09-09 14:42:33.060863 : Epoch  6, Batch    260, Loss  0.888036, Average Loss  0.868264, Time  0.453773
2021-09-09 14:42:34.967863 : Epoch  6, Batch    261, Loss  0.862119, Average Loss  0.868114, Time  0.474187
2021-09-09 14:42:36.791924 : Epoch  6, Batch    262, Loss  0.858341, Average Loss  0.867987, Time  0.377414
2021-09-09 14:42:38.621806 : Epoch  6, Batch    263, Loss  0.889851, Average Loss  0.868115, Time  0.380931
2021-09-09 14:42:40.545323 : Epoch  6, Batch    264, Loss  0.860174, Average Loss  0.867945, Time  0.460572
2021-09-09 14:42:42.479539 : Epoch  6, Batch    265, Loss  0.874560, Average Loss  0.867909, Time  0.470258
2021-09-09 14:42:44.314801 : Epoch  6, Batch    266, Loss  0.875787, Average Loss  0.867866, Time  0.380080
2021-09-09 14:42:46.136426 : Epoch  6, Batch    267, Loss  0.842469, Average Loss  0.867859, Time  0.375019
2021-09-09 14:42:48.093490 : Epoch  6, Batch    268, Loss  0.899089, Average Loss  0.868057, Time  0.419931
2021-09-09 14:42:49.963827 : Epoch  6, Batch    269, Loss  0.823675, Average Loss  0.867869, Time  0.459751
2021-09-09 14:42:51.831825 : Epoch  6, Batch    270, Loss  0.876083, Average Loss  0.867989, Time  0.373199
2021-09-09 14:42:53.651215 : Epoch  6, Batch    271, Loss  0.869731, Average Loss  0.868045, Time  0.371148
2021-09-09 14:42:55.572859 : Epoch  6, Batch    272, Loss  0.880229, Average Loss  0.868026, Time  0.484919
2021-09-09 14:42:57.453509 : Epoch  6, Batch    273, Loss  0.869531, Average Loss  0.867879, Time  0.435490
2021-09-09 14:42:59.285025 : Epoch  6, Batch    274, Loss  0.846336, Average Loss  0.867877, Time  0.371534
2021-09-09 14:43:01.122981 : Epoch  6, Batch    275, Loss  0.882121, Average Loss  0.867792, Time  0.377759
2021-09-09 14:43:03.054501 : Epoch  6, Batch    276, Loss  0.864669, Average Loss  0.867778, Time  0.477516
2021-09-09 14:43:05.015020 : Epoch  6, Batch    277, Loss  0.858145, Average Loss  0.867885, Time  0.449232
2021-09-09 14:43:06.848228 : Epoch  6, Batch    278, Loss  0.865055, Average Loss  0.867910, Time  0.367955
2021-09-09 14:43:08.667808 : Epoch  6, Batch    279, Loss  0.867490, Average Loss  0.867862, Time  0.369895
2021-09-09 14:43:10.588948 : Epoch  6, Batch    280, Loss  0.849865, Average Loss  0.867812, Time  0.462848
2021-09-09 14:43:12.512876 : Epoch  6, Batch    281, Loss  0.867604, Average Loss  0.867788, Time  0.468190
2021-09-09 14:43:14.355442 : Epoch  6, Batch    282, Loss  0.873604, Average Loss  0.867746, Time  0.371785
2021-09-09 14:43:16.182450 : Epoch  6, Batch    283, Loss  0.849532, Average Loss  0.867420, Time  0.372807
2021-09-09 14:43:18.082176 : Epoch  6, Batch    284, Loss  0.852923, Average Loss  0.867293, Time  0.449512
2021-09-09 14:43:19.995780 : Epoch  6, Batch    285, Loss  0.834147, Average Loss  0.867106, Time  0.468052
2021-09-09 14:43:21.829885 : Epoch  6, Batch    286, Loss  0.856900, Average Loss  0.866979, Time  0.372439
2021-09-09 14:43:23.661796 : Epoch  6, Batch    287, Loss  0.858808, Average Loss  0.866952, Time  0.366825
2021-09-09 14:43:25.562360 : Epoch  6, Batch    288, Loss  0.893687, Average Loss  0.867056, Time  0.434705
2021-09-09 14:43:27.496826 : Epoch  6, Batch    289, Loss  0.897032, Average Loss  0.867282, Time  0.469459
2021-09-09 14:43:29.349635 : Epoch  6, Batch    290, Loss  0.897373, Average Loss  0.867342, Time  0.376042
2021-09-09 14:43:31.178775 : Epoch  6, Batch    291, Loss  0.868732, Average Loss  0.867407, Time  0.371032
2021-09-09 14:43:33.095086 : Epoch  6, Batch    292, Loss  0.850558, Average Loss  0.867348, Time  0.455965
2021-09-09 14:43:35.016270 : Epoch  6, Batch    293, Loss  0.880515, Average Loss  0.867432, Time  0.474815
2021-09-09 14:43:36.889850 : Epoch  6, Batch    294, Loss  0.875189, Average Loss  0.867395, Time  0.378515
2021-09-09 14:43:38.736809 : Epoch  6, Batch    295, Loss  0.868770, Average Loss  0.867423, Time  0.368074
2021-09-09 14:43:40.646844 : Epoch  6, Batch    296, Loss  0.864758, Average Loss  0.867360, Time  0.455622
2021-09-09 14:43:42.584865 : Epoch  6, Batch    297, Loss  0.855814, Average Loss  0.867267, Time  0.480619
2021-09-09 14:43:44.453839 : Epoch  6, Batch    298, Loss  0.867170, Average Loss  0.867273, Time  0.379230
2021-09-09 14:43:46.314213 : Epoch  6, Batch    299, Loss  0.871622, Average Loss  0.867276, Time  0.378651
2021-09-09 14:43:48.227185 : Epoch  6, Batch    300, Loss  0.872378, Average Loss  0.867264, Time  0.432292
2021-09-09 14:43:50.162834 : Epoch  6, Batch    301, Loss  0.893218, Average Loss  0.867356, Time  0.467357
2021-09-09 14:43:52.005017 : Epoch  6, Batch    302, Loss  0.880316, Average Loss  0.867524, Time  0.383252
2021-09-09 14:43:53.856856 : Epoch  6, Batch    303, Loss  0.843861, Average Loss  0.867458, Time  0.375073
2021-09-09 14:43:55.750957 : Epoch  6, Batch    304, Loss  0.868134, Average Loss  0.867516, Time  0.438013
2021-09-09 14:43:57.678975 : Epoch  6, Batch    305, Loss  0.859358, Average Loss  0.867533, Time  0.466251
2021-09-09 14:43:59.509846 : Epoch  6, Batch    306, Loss  0.867272, Average Loss  0.867660, Time  0.371045
2021-09-09 14:44:01.334936 : Epoch  6, Batch    307, Loss  0.853809, Average Loss  0.867656, Time  0.367844
2021-09-09 14:44:03.217250 : Epoch  6, Batch    308, Loss  0.869073, Average Loss  0.867581, Time  0.442495
2021-09-09 14:44:05.182844 : Epoch  6, Batch    309, Loss  0.884938, Average Loss  0.867791, Time  0.468324
2021-09-09 14:44:07.029428 : Epoch  6, Batch    310, Loss  0.848558, Average Loss  0.867600, Time  0.379794
2021-09-09 14:44:08.944845 : Epoch  6, Batch    311, Loss  0.876605, Average Loss  0.867666, Time  0.374951
2021-09-09 14:44:10.821796 : Epoch  6, Batch    312, Loss  0.860630, Average Loss  0.867595, Time  0.426078
2021-09-09 14:44:12.756916 : Epoch  6, Batch    313, Loss  0.844945, Average Loss  0.867465, Time  0.471188
2021-09-09 14:44:14.577914 : Epoch  6, Batch    314, Loss  0.874946, Average Loss  0.867433, Time  0.375782
2021-09-09 14:44:16.405316 : Epoch  6, Batch    315, Loss  0.864567, Average Loss  0.867519, Time  0.368582
2021-09-09 14:44:18.293940 : Epoch  6, Batch    316, Loss  0.900716, Average Loss  0.867722, Time  0.435345
2021-09-09 14:44:20.211318 : Epoch  6, Batch    317, Loss  0.898372, Average Loss  0.867864, Time  0.467825
2021-09-09 14:44:22.030783 : Epoch  6, Batch    318, Loss  0.861105, Average Loss  0.867761, Time  0.369305
2021-09-09 14:44:23.835121 : Epoch  6, Batch    319, Loss  0.854858, Average Loss  0.867622, Time  0.368556
2021-09-09 14:44:25.790882 : Epoch  6, Batch    320, Loss  0.841035, Average Loss  0.867458, Time  0.469322
2021-09-09 14:44:27.737002 : Epoch  6, Batch    321, Loss  0.860257, Average Loss  0.867420, Time  0.477404
2021-09-09 14:44:29.560804 : Epoch  6, Batch    322, Loss  0.837048, Average Loss  0.867205, Time  0.370087
2021-09-09 14:44:31.395935 : Epoch  6, Batch    323, Loss  0.858872, Average Loss  0.867197, Time  0.375803
2021-09-09 14:44:33.299786 : Epoch  6, Batch    324, Loss  0.832881, Average Loss  0.867159, Time  0.452465
2021-09-09 14:44:35.229261 : Epoch  6, Batch    325, Loss  0.865628, Average Loss  0.867075, Time  0.475321
2021-09-09 14:44:37.063822 : Epoch  6, Batch    326, Loss  0.874270, Average Loss  0.867046, Time  0.378459
2021-09-09 14:44:38.896919 : Epoch  6, Batch    327, Loss  0.842240, Average Loss  0.866902, Time  0.369788
2021-09-09 14:44:40.814801 : Epoch  6, Batch    328, Loss  0.847809, Average Loss  0.866712, Time  0.469216
2021-09-09 14:44:42.754785 : Epoch  6, Batch    329, Loss  0.856367, Average Loss  0.866721, Time  0.466539
2021-09-09 14:44:44.568829 : Epoch  6, Batch    330, Loss  0.869377, Average Loss  0.866653, Time  0.342817
2021-09-09 14:44:46.498110 : Epoch  6, Batch    331, Loss  0.858463, Average Loss  0.866572, Time  0.472143
2021-09-09 14:44:48.328798 : Epoch  6, Batch    332, Loss  0.870378, Average Loss  0.866576, Time  0.371614
2021-09-09 14:44:50.157211 : Epoch  6, Batch    333, Loss  0.862875, Average Loss  0.866688, Time  0.375417
2021-09-09 14:44:52.076844 : Epoch  6, Batch    334, Loss  0.863159, Average Loss  0.866733, Time  0.464268
2021-09-09 14:44:54.007985 : Epoch  6, Batch    335, Loss  0.842268, Average Loss  0.866551, Time  0.479290
2021-09-09 14:44:55.847235 : Epoch  6, Batch    336, Loss  0.886868, Average Loss  0.866731, Time  0.375215
2021-09-09 14:44:57.665966 : Epoch  6, Batch    337, Loss  0.885416, Average Loss  0.866890, Time  0.369479
2021-09-09 14:44:59.569640 : Epoch  6, Batch    338, Loss  0.875660, Average Loss  0.866903, Time  0.446342
2021-09-09 14:45:01.453972 : Epoch  6, Batch    339, Loss  0.887583, Average Loss  0.866946, Time  0.434275
2021-09-09 14:45:03.247962 : Epoch  6, Batch    340, Loss  0.855009, Average Loss  0.867035, Time  0.365769
2021-09-09 14:45:05.068219 : Epoch  6, Batch    341, Loss  0.849919, Average Loss  0.866907, Time  0.367311
2021-09-09 14:45:07.055841 : Epoch  6, Batch    342, Loss  0.841578, Average Loss  0.866625, Time  0.471117
2021-09-09 14:45:08.941971 : Epoch  6, Batch    343, Loss  0.836185, Average Loss  0.866464, Time  0.436610
2021-09-09 14:45:10.781206 : Epoch  6, Batch    344, Loss  0.894722, Average Loss  0.866605, Time  0.368952
2021-09-09 14:45:12.608862 : Epoch  6, Batch    345, Loss  0.868047, Average Loss  0.866601, Time  0.370411
2021-09-09 14:50:03.754719 : CheckPoint: Validation Loss  0.00058598, Best Loss  0.00056427
2021-09-09 14:50:05.589779 : Epoch  6, Batch    346, Loss  0.851787, Average Loss  0.866579, Time  0.383531
2021-09-09 14:50:07.482794 : Epoch  6, Batch    347, Loss  0.927808, Average Loss  0.866898, Time  0.463206
2021-09-09 14:50:09.324796 : Epoch  6, Batch    348, Loss  0.862816, Average Loss  0.866794, Time  0.381437
2021-09-09 14:50:11.182852 : Epoch  6, Batch    349, Loss  0.876713, Average Loss  0.866813, Time  0.410039
2021-09-09 14:50:13.031795 : Epoch  6, Batch    350, Loss  0.876144, Average Loss  0.866763, Time  0.379203
2021-09-09 14:50:14.874796 : Epoch  6, Batch    351, Loss  0.861905, Average Loss  0.866864, Time  0.383246
2021-09-09 14:50:16.741788 : Epoch  6, Batch    352, Loss  0.880926, Average Loss  0.866855, Time  0.379398
2021-09-09 14:50:18.646443 : Epoch  6, Batch    353, Loss  0.877034, Average Loss  0.866808, Time  0.376986
2021-09-09 14:50:20.767388 : Epoch  6, Batch    354, Loss  0.868041, Average Loss  0.866829, Time  0.500864
2021-09-09 14:50:22.708034 : Epoch  6, Batch    355, Loss  0.866253, Average Loss  0.866811, Time  0.390542
2021-09-09 14:50:24.585795 : Epoch  6, Batch    356, Loss  0.860319, Average Loss  0.866663, Time  0.404552
2021-09-09 14:50:26.517320 : Epoch  6, Batch    357, Loss  0.881135, Average Loss  0.866761, Time  0.379846
2021-09-09 14:50:28.441782 : Epoch  6, Batch    358, Loss  0.854640, Average Loss  0.866670, Time  0.380467
2021-09-09 14:50:30.353557 : Epoch  6, Batch    359, Loss  0.847493, Average Loss  0.866633, Time  0.373355
2021-09-09 14:50:32.277782 : Epoch  6, Batch    360, Loss  0.878103, Average Loss  0.866772, Time  0.372818
2021-09-09 14:50:34.198782 : Epoch  6, Batch    361, Loss  0.844374, Average Loss  0.866515, Time  0.376197
2021-09-09 14:50:36.057007 : Epoch  6, Batch    362, Loss  0.873957, Average Loss  0.866643, Time  0.368161
2021-09-09 14:50:37.944046 : Epoch  6, Batch    363, Loss  0.864814, Average Loss  0.866632, Time  0.372392
2021-09-09 14:50:39.849778 : Epoch  6, Batch    364, Loss  0.852518, Average Loss  0.866560, Time  0.372198
2021-09-09 14:50:41.755786 : Epoch  6, Batch    365, Loss  0.870988, Average Loss  0.866415, Time  0.373032
2021-09-09 14:50:43.662817 : Epoch  6, Batch    366, Loss  0.860657, Average Loss  0.866522, Time  0.378772
2021-09-09 14:50:45.555783 : Epoch  6, Batch    367, Loss  0.872961, Average Loss  0.866467, Time  0.375561
2021-09-09 14:50:47.415882 : Epoch  6, Batch    368, Loss  0.868471, Average Loss  0.866505, Time  0.385660
2021-09-09 14:50:49.276806 : Epoch  6, Batch    369, Loss  0.852539, Average Loss  0.866455, Time  0.374873
2021-09-09 14:50:51.158781 : Epoch  6, Batch    370, Loss  0.901739, Average Loss  0.866612, Time  0.392799
2021-09-09 14:50:53.044625 : Epoch  6, Batch    371, Loss  0.882229, Average Loss  0.866733, Time  0.372895
2021-09-09 14:50:54.911849 : Epoch  6, Batch    372, Loss  0.847199, Average Loss  0.866710, Time  0.389766
2021-09-09 14:50:56.760780 : Epoch  6, Batch    373, Loss  0.862703, Average Loss  0.866677, Time  0.372573
2021-09-09 14:50:58.615858 : Epoch  6, Batch    374, Loss  0.861170, Average Loss  0.866614, Time  0.394719
2021-09-09 14:51:00.446894 : Epoch  6, Batch    375, Loss  0.896078, Average Loss  0.866627, Time  0.372726
2021-09-09 14:51:02.350800 : Epoch  6, Batch    376, Loss  0.874192, Average Loss  0.866684, Time  0.397540
2021-09-09 14:51:04.298790 : Epoch  6, Batch    377, Loss  0.885575, Average Loss  0.866780, Time  0.429204
2021-09-09 14:51:06.173785 : Epoch  6, Batch    378, Loss  0.862494, Average Loss  0.866848, Time  0.380312
2021-09-09 14:51:08.139778 : Epoch  6, Batch    379, Loss  0.840975, Average Loss  0.866710, Time  0.432206
2021-09-09 14:51:10.216689 : Epoch  6, Batch    380, Loss  0.877773, Average Loss  0.866885, Time  0.409686
2021-09-09 14:51:12.194985 : Epoch  6, Batch    381, Loss  0.867786, Average Loss  0.866825, Time  0.458213
2021-09-09 14:51:14.125150 : Epoch  6, Batch    382, Loss  0.850382, Average Loss  0.866695, Time  0.394547
2021-09-09 14:51:16.035793 : Epoch  6, Batch    383, Loss  0.868142, Average Loss  0.866758, Time  0.381459
2021-09-09 14:51:17.914821 : Epoch  6, Batch    384, Loss  0.871758, Average Loss  0.866735, Time  0.370399
2021-09-09 14:51:19.787818 : Epoch  6, Batch    385, Loss  0.856083, Average Loss  0.866527, Time  0.382984
2021-09-09 14:51:21.663916 : Epoch  6, Batch    386, Loss  0.860056, Average Loss  0.866515, Time  0.378781
2021-09-09 14:51:23.578796 : Epoch  6, Batch    387, Loss  0.880735, Average Loss  0.866629, Time  0.395060
2021-09-09 14:51:25.469895 : Epoch  6, Batch    388, Loss  0.873496, Average Loss  0.866561, Time  0.378428
2021-09-09 14:51:27.342482 : Epoch  6, Batch    389, Loss  0.858292, Average Loss  0.866456, Time  0.378540
2021-09-09 14:51:29.205032 : Epoch  6, Batch    390, Loss  0.881552, Average Loss  0.866459, Time  0.370275
2021-09-09 14:51:31.077220 : Epoch  6, Batch    391, Loss  0.866003, Average Loss  0.866549, Time  0.380067
2021-09-09 14:51:32.994983 : Epoch  6, Batch    392, Loss  0.914045, Average Loss  0.866802, Time  0.379189
2021-09-09 14:51:34.897963 : Epoch  6, Batch    393, Loss  0.858454, Average Loss  0.866785, Time  0.384518
2021-09-09 14:51:36.784842 : Epoch  6, Batch    394, Loss  0.872169, Average Loss  0.866932, Time  0.372189
2021-09-09 14:51:38.650890 : Epoch  6, Batch    395, Loss  0.876879, Average Loss  0.866891, Time  0.376951
2021-09-09 14:51:40.525779 : Epoch  6, Batch    396, Loss  0.872665, Average Loss  0.866978, Time  0.371638
2021-09-09 14:51:42.405781 : Epoch  6, Batch    397, Loss  0.860252, Average Loss  0.866908, Time  0.380062
2021-09-09 14:51:44.294802 : Epoch  6, Batch    398, Loss  0.842673, Average Loss  0.866683, Time  0.383751
2021-09-09 14:51:46.173854 : Epoch  6, Batch    399, Loss  0.858860, Average Loss  0.866676, Time  0.386967
2021-09-09 14:51:48.035287 : Epoch  6, Batch    400, Loss  0.875801, Average Loss  0.866721, Time  0.373700
2021-09-09 14:51:49.903478 : Epoch  6, Batch    401, Loss  0.846095, Average Loss  0.866641, Time  0.376497
2021-09-09 14:51:51.752943 : Epoch  6, Batch    402, Loss  0.886073, Average Loss  0.866810, Time  0.376813
2021-09-09 14:51:53.640853 : Epoch  6, Batch    403, Loss  0.882145, Average Loss  0.866759, Time  0.401078
2021-09-09 14:51:55.484359 : Epoch  6, Batch    404, Loss  0.842417, Average Loss  0.866627, Time  0.370151
2021-09-09 14:51:57.406966 : Epoch  6, Batch    405, Loss  0.888931, Average Loss  0.866768, Time  0.390547
2021-09-09 14:51:59.259747 : Epoch  6, Batch    406, Loss  0.879426, Average Loss  0.866806, Time  0.376456
2021-09-09 14:52:01.114841 : Epoch  6, Batch    407, Loss  0.871506, Average Loss  0.866806, Time  0.392246
2021-09-09 14:52:02.952853 : Epoch  6, Batch    408, Loss  0.848157, Average Loss  0.866777, Time  0.386645
2021-09-09 14:52:04.910005 : Epoch  6, Batch    409, Loss  0.856774, Average Loss  0.866689, Time  0.409116
2021-09-09 14:52:06.823036 : Epoch  6, Batch    410, Loss  0.869812, Average Loss  0.866747, Time  0.382469
2021-09-09 14:52:08.734798 : Epoch  6, Batch    411, Loss  0.845868, Average Loss  0.866646, Time  0.381961
2021-09-09 14:52:10.773473 : Epoch  6, Batch    412, Loss  0.876908, Average Loss  0.866771, Time  0.405752
2021-09-09 14:52:12.734985 : Epoch  6, Batch    413, Loss  0.871843, Average Loss  0.866650, Time  0.395843
2021-09-09 14:52:14.656007 : Epoch  6, Batch    414, Loss  0.862122, Average Loss  0.866566, Time  0.403180
2021-09-09 14:52:16.552342 : Epoch  6, Batch    415, Loss  0.842821, Average Loss  0.866481, Time  0.378749
2021-09-09 14:52:18.395984 : Epoch  6, Batch    416, Loss  0.876457, Average Loss  0.866523, Time  0.385600
2021-09-09 14:52:20.290506 : Epoch  6, Batch    417, Loss  0.850833, Average Loss  0.866494, Time  0.413610
2021-09-09 14:52:22.210079 : Epoch  6, Batch    418, Loss  0.882447, Average Loss  0.866415, Time  0.377893
2021-09-09 14:52:24.102403 : Epoch  6, Batch    419, Loss  0.856544, Average Loss  0.866427, Time  0.404111
2021-09-09 14:52:26.141119 : Epoch  6, Batch    420, Loss  0.821981, Average Loss  0.866172, Time  0.423657
2021-09-09 14:52:28.096464 : Epoch  6, Batch    421, Loss  0.881122, Average Loss  0.866313, Time  0.409712
2021-09-09 14:52:29.984208 : Epoch  6, Batch    422, Loss  0.894076, Average Loss  0.866448, Time  0.379215
2021-09-09 14:52:31.831443 : Epoch  6, Batch    423, Loss  0.849846, Average Loss  0.866372, Time  0.370497
2021-09-09 14:52:33.700814 : Epoch  6, Batch    424, Loss  0.871317, Average Loss  0.866383, Time  0.370934
2021-09-09 14:52:35.622043 : Epoch  6, Batch    425, Loss  0.860096, Average Loss  0.866481, Time  0.388324
2021-09-09 14:52:37.485487 : Epoch  6, Batch    426, Loss  0.879679, Average Loss  0.866544, Time  0.374725
2021-09-09 14:52:39.363953 : Epoch  6, Batch    427, Loss  0.883104, Average Loss  0.866741, Time  0.391830
2021-09-09 14:52:41.238908 : Epoch  6, Batch    428, Loss  0.878273, Average Loss  0.866866, Time  0.386312
2021-09-09 14:52:43.125255 : Epoch  6, Batch    429, Loss  0.887521, Average Loss  0.866792, Time  0.386230
2021-09-09 14:52:45.017088 : Epoch  6, Batch    430, Loss  0.887520, Average Loss  0.866767, Time  0.413525
2021-09-09 14:52:46.936815 : Epoch  6, Batch    431, Loss  0.855566, Average Loss  0.866715, Time  0.414907
2021-09-09 14:52:48.907394 : Epoch  6, Batch    432, Loss  0.836857, Average Loss  0.866687, Time  0.445966
2021-09-09 14:52:50.929530 : Epoch  6, Batch    433, Loss  0.831604, Average Loss  0.866624, Time  0.502919
2021-09-09 14:52:52.943819 : Epoch  6, Batch    434, Loss  0.876251, Average Loss  0.866594, Time  0.479300
2021-09-09 14:52:54.878917 : Epoch  6, Batch    435, Loss  0.865439, Average Loss  0.866415, Time  0.413541
2021-09-09 14:52:56.788848 : Epoch  6, Batch    436, Loss  0.862354, Average Loss  0.866378, Time  0.411899
2021-09-09 14:52:58.736929 : Epoch  6, Batch    437, Loss  0.878148, Average Loss  0.866326, Time  0.465312
2021-09-09 14:53:00.748856 : Epoch  6, Batch    438, Loss  0.868437, Average Loss  0.866421, Time  0.504870
2021-09-09 14:53:02.674799 : Epoch  6, Batch    439, Loss  0.875877, Average Loss  0.866480, Time  0.411900
2021-09-09 14:53:04.598630 : Epoch  6, Batch    440, Loss  0.854906, Average Loss  0.866502, Time  0.412282
2021-09-09 14:53:06.535891 : Epoch  6, Batch    441, Loss  0.866755, Average Loss  0.866538, Time  0.384574
2021-09-09 14:53:08.472831 : Epoch  6, Batch    442, Loss  0.885194, Average Loss  0.866746, Time  0.471165
2021-09-09 14:53:10.331777 : Epoch  6, Batch    443, Loss  0.827858, Average Loss  0.866533, Time  0.379933
2021-09-09 14:53:12.172879 : Epoch  6, Batch    444, Loss  0.880797, Average Loss  0.866657, Time  0.381219
2021-09-09 14:53:19.663918 : Epoch  6, Batch    445, Loss  0.878817, Average Loss  0.866599, Time  0.378109
2021-09-09 14:58:14.589729 : CheckPoint: Validation Loss  0.00057843, Best Loss  0.00056427
2021-09-09 14:58:16.579101 : Epoch  6, Batch    446, Loss  0.872726, Average Loss  0.866662, Time  0.504571
2021-09-09 14:58:18.488786 : Epoch  6, Batch    447, Loss  0.886343, Average Loss  0.866675, Time  0.412489
2021-09-09 14:58:20.406799 : Epoch  6, Batch    448, Loss  0.867461, Average Loss  0.866742, Time  0.411352
2021-09-09 14:58:22.342816 : Epoch  6, Batch    449, Loss  0.902997, Average Loss  0.866962, Time  0.417086
2021-09-09 14:58:24.345098 : Epoch  6, Batch    450, Loss  0.899556, Average Loss  0.867087, Time  0.504878
2021-09-09 14:58:26.260177 : Epoch  6, Batch    451, Loss  0.883949, Average Loss  0.867334, Time  0.410612
2021-09-09 14:58:28.164998 : Epoch  6, Batch    452, Loss  0.856392, Average Loss  0.867297, Time  0.406562
2021-09-09 14:58:30.093818 : Epoch  6, Batch    453, Loss  0.899515, Average Loss  0.867416, Time  0.430670
2021-09-09 14:58:32.068863 : Epoch  6, Batch    454, Loss  0.882657, Average Loss  0.867497, Time  0.476725
2021-09-09 14:58:33.901801 : Epoch  6, Batch    455, Loss  0.872299, Average Loss  0.867430, Time  0.371309
2021-09-09 14:58:35.752185 : Epoch  6, Batch    456, Loss  0.860461, Average Loss  0.867406, Time  0.371537
2021-09-09 14:58:37.633779 : Epoch  6, Batch    457, Loss  0.880087, Average Loss  0.867316, Time  0.415113
2021-09-09 14:58:39.566821 : Epoch  6, Batch    458, Loss  0.892351, Average Loss  0.867549, Time  0.479401
2021-09-09 14:58:41.414215 : Epoch  6, Batch    459, Loss  0.870281, Average Loss  0.867620, Time  0.377695
2021-09-09 14:58:43.252357 : Epoch  6, Batch    460, Loss  0.846718, Average Loss  0.867413, Time  0.373487
2021-09-09 14:58:45.187842 : Epoch  6, Batch    461, Loss  0.897293, Average Loss  0.867589, Time  0.438457
2021-09-09 14:58:47.127215 : Epoch  6, Batch    462, Loss  0.863010, Average Loss  0.867612, Time  0.470859
2021-09-09 14:58:48.938806 : Epoch  6, Batch    463, Loss  0.848779, Average Loss  0.867407, Time  0.367574
2021-09-09 14:58:50.758064 : Epoch  6, Batch    464, Loss  0.861487, Average Loss  0.867413, Time  0.362770
2021-09-09 14:58:52.658820 : Epoch  6, Batch    465, Loss  0.838705, Average Loss  0.867234, Time  0.446475
2021-09-09 14:58:54.568929 : Epoch  6, Batch    466, Loss  0.899728, Average Loss  0.867354, Time  0.470338
2021-09-09 14:58:56.389300 : Epoch  6, Batch    467, Loss  0.864965, Average Loss  0.867466, Time  0.371643
2021-09-09 14:58:58.206874 : Epoch  6, Batch    468, Loss  0.864013, Average Loss  0.867291, Time  0.369285
2021-09-09 14:59:00.116934 : Epoch  6, Batch    469, Loss  0.888998, Average Loss  0.867618, Time  0.450625
2021-09-09 14:59:02.038270 : Epoch  6, Batch    470, Loss  0.845217, Average Loss  0.867463, Time  0.472745
2021-09-09 14:59:03.862798 : Epoch  6, Batch    471, Loss  0.841647, Average Loss  0.867323, Time  0.370370
2021-09-09 14:59:05.689904 : Epoch  6, Batch    472, Loss  0.848295, Average Loss  0.867163, Time  0.374416
2021-09-09 14:59:07.607400 : Epoch  6, Batch    473, Loss  0.866262, Average Loss  0.867147, Time  0.468939
2021-09-09 14:59:09.549183 : Epoch  6, Batch    474, Loss  0.886967, Average Loss  0.867350, Time  0.475319
2021-09-09 14:59:11.377842 : Epoch  6, Batch    475, Loss  0.855640, Average Loss  0.867218, Time  0.374176
2021-09-09 14:59:13.211581 : Epoch  6, Batch    476, Loss  0.865078, Average Loss  0.867220, Time  0.369582
2021-09-09 14:59:15.229470 : Epoch  6, Batch    477, Loss  0.831449, Average Loss  0.867086, Time  0.517678
2021-09-09 14:59:17.177793 : Epoch  6, Batch    478, Loss  0.865568, Average Loss  0.867089, Time  0.464908
2021-09-09 14:59:19.012871 : Epoch  6, Batch    479, Loss  0.881048, Average Loss  0.867156, Time  0.371968
2021-09-09 14:59:20.839785 : Epoch  6, Batch    480, Loss  0.852679, Average Loss  0.867171, Time  0.372603
2021-09-09 14:59:22.727986 : Epoch  6, Batch    481, Loss  0.869340, Average Loss  0.867179, Time  0.438750
2021-09-09 14:59:24.685771 : Epoch  6, Batch    482, Loss  0.868840, Average Loss  0.867155, Time  0.470150
2021-09-09 14:59:26.537935 : Epoch  6, Batch    483, Loss  0.883127, Average Loss  0.867323, Time  0.370934
2021-09-09 14:59:28.365807 : Epoch  6, Batch    484, Loss  0.880212, Average Loss  0.867460, Time  0.373285
2021-09-09 14:59:30.280980 : Epoch  6, Batch    485, Loss  0.874620, Average Loss  0.867662, Time  0.442063
2021-09-09 14:59:32.228815 : Epoch  6, Batch    486, Loss  0.897252, Average Loss  0.867864, Time  0.472757
2021-09-09 14:59:34.057065 : Epoch  6, Batch    487, Loss  0.864372, Average Loss  0.867892, Time  0.376941
2021-09-09 14:59:35.893789 : Epoch  6, Batch    488, Loss  0.896835, Average Loss  0.867908, Time  0.375952
2021-09-09 14:59:37.787019 : Epoch  6, Batch    489, Loss  0.865114, Average Loss  0.867748, Time  0.451703
2021-09-09 14:59:39.734797 : Epoch  6, Batch    490, Loss  0.864267, Average Loss  0.867582, Time  0.477181
2021-09-09 14:59:41.575847 : Epoch  6, Batch    491, Loss  0.863692, Average Loss  0.867557, Time  0.373211
2021-09-09 14:59:43.416793 : Epoch  6, Batch    492, Loss  0.876182, Average Loss  0.867685, Time  0.372570
2021-09-09 14:59:45.322019 : Epoch  6, Batch    493, Loss  0.847086, Average Loss  0.867518, Time  0.426484
2021-09-09 14:59:47.255283 : Epoch  6, Batch    494, Loss  0.859408, Average Loss  0.867439, Time  0.467478
2021-09-09 14:59:49.098776 : Epoch  6, Batch    495, Loss  0.874237, Average Loss  0.867467, Time  0.373517
2021-09-09 14:59:50.925771 : Epoch  6, Batch    496, Loss  0.868737, Average Loss  0.867486, Time  0.371618
2021-09-09 14:59:52.786772 : Epoch  6, Batch    497, Loss  0.872254, Average Loss  0.867569, Time  0.438362
2021-09-09 14:59:54.694825 : Epoch  6, Batch    498, Loss  0.852927, Average Loss  0.867497, Time  0.471311
2021-09-09 14:59:56.506388 : Epoch  6, Batch    499, Loss  0.833377, Average Loss  0.867306, Time  0.374812
2021-09-09 14:59:58.327791 : Epoch  6, Batch    500, Loss  0.859861, Average Loss  0.867244, Time  0.370195
2021-09-09 15:00:00.270954 : Epoch  6, Batch    501, Loss  0.854770, Average Loss  0.867051, Time  0.469543
2021-09-09 15:00:02.212785 : Epoch  6, Batch    502, Loss  0.872983, Average Loss  0.867015, Time  0.465528
2021-09-09 15:00:04.127017 : Epoch  6, Batch    503, Loss  0.850752, Average Loss  0.867049, Time  0.388947
2021-09-09 15:00:06.015434 : Epoch  6, Batch    504, Loss  0.871013, Average Loss  0.867064, Time  0.408828
2021-09-09 15:00:07.969853 : Epoch  6, Batch    505, Loss  0.843837, Average Loss  0.866986, Time  0.401646
2021-09-09 15:00:09.952785 : Epoch  6, Batch    506, Loss  0.852927, Average Loss  0.866914, Time  0.477405
2021-09-09 15:00:11.870091 : Epoch  6, Batch    507, Loss  0.887781, Average Loss  0.867084, Time  0.382185
2021-09-09 15:00:13.770788 : Epoch  6, Batch    508, Loss  0.866312, Average Loss  0.867070, Time  0.374114
2021-09-09 15:00:15.734066 : Epoch  6, Batch    509, Loss  0.876063, Average Loss  0.867026, Time  0.377772
2021-09-09 15:00:17.765782 : Epoch  6, Batch    510, Loss  0.855497, Average Loss  0.867061, Time  0.479129
2021-09-09 15:00:19.897183 : Epoch  6, Batch    511, Loss  0.895131, Average Loss  0.867153, Time  0.486946
2021-09-09 15:00:21.888629 : Epoch  6, Batch    512, Loss  0.852858, Average Loss  0.867114, Time  0.394634
2021-09-09 15:00:23.796822 : Epoch  6, Batch    513, Loss  0.890869, Average Loss  0.867344, Time  0.382214
2021-09-09 15:00:25.682824 : Epoch  6, Batch    514, Loss  0.884699, Average Loss  0.867393, Time  0.380352
2021-09-09 15:00:27.637625 : Epoch  6, Batch    515, Loss  0.863849, Average Loss  0.867389, Time  0.476942
2021-09-09 15:00:29.550767 : Epoch  6, Batch    516, Loss  0.897951, Average Loss  0.867375, Time  0.378067
2021-09-09 15:00:31.424820 : Epoch  6, Batch    517, Loss  0.859209, Average Loss  0.867180, Time  0.371168
2021-09-09 15:00:33.350779 : Epoch  6, Batch    518, Loss  0.851830, Average Loss  0.867133, Time  0.414368
2021-09-09 15:00:35.348307 : Epoch  6, Batch    519, Loss  0.867147, Average Loss  0.867195, Time  0.480200
2021-09-09 15:00:37.255306 : Epoch  6, Batch    520, Loss  0.882951, Average Loss  0.867404, Time  0.371044
2021-09-09 15:00:39.150071 : Epoch  6, Batch    521, Loss  0.894193, Average Loss  0.867574, Time  0.380686
2021-09-09 15:00:41.023831 : Epoch  6, Batch    522, Loss  0.894618, Average Loss  0.867862, Time  0.379001
2021-09-09 15:00:43.002591 : Epoch  6, Batch    523, Loss  0.861022, Average Loss  0.867873, Time  0.478883
2021-09-09 15:00:44.889774 : Epoch  6, Batch    524, Loss  0.876687, Average Loss  0.868092, Time  0.389540
2021-09-09 15:00:46.775290 : Epoch  6, Batch    525, Loss  0.902475, Average Loss  0.868276, Time  0.374736
2021-09-09 15:00:48.697778 : Epoch  6, Batch    526, Loss  0.871996, Average Loss  0.868264, Time  0.407791
2021-09-09 15:00:50.680092 : Epoch  6, Batch    527, Loss  0.855524, Average Loss  0.868331, Time  0.477117
2021-09-09 15:00:52.551972 : Epoch  6, Batch    528, Loss  0.887247, Average Loss  0.868528, Time  0.371211
2021-09-09 15:00:54.407788 : Epoch  6, Batch    529, Loss  0.849840, Average Loss  0.868495, Time  0.372690
2021-09-09 15:00:56.328935 : Epoch  6, Batch    530, Loss  0.879721, Average Loss  0.868547, Time  0.416335
2021-09-09 15:00:58.316233 : Epoch  6, Batch    531, Loss  0.852338, Average Loss  0.868516, Time  0.480773
2021-09-09 15:01:00.195798 : Epoch  6, Batch    532, Loss  0.831779, Average Loss  0.868323, Time  0.378582
2021-09-09 15:01:02.053639 : Epoch  6, Batch    533, Loss  0.820847, Average Loss  0.868113, Time  0.383080
2021-09-09 15:01:03.983778 : Epoch  6, Batch    534, Loss  0.852918, Average Loss  0.868062, Time  0.422451
2021-09-09 15:01:05.963904 : Epoch  6, Batch    535, Loss  0.860272, Average Loss  0.868152, Time  0.490389
2021-09-09 15:01:07.805769 : Epoch  6, Batch    536, Loss  0.900183, Average Loss  0.868219, Time  0.375803
2021-09-09 15:01:09.653250 : Epoch  6, Batch    537, Loss  0.863272, Average Loss  0.868108, Time  0.369596
2021-09-09 15:01:11.561768 : Epoch  6, Batch    538, Loss  0.884201, Average Loss  0.868151, Time  0.460168
2021-09-09 15:01:13.495115 : Epoch  6, Batch    539, Loss  0.839103, Average Loss  0.867908, Time  0.477324
2021-09-09 15:01:15.318047 : Epoch  6, Batch    540, Loss  0.885072, Average Loss  0.868059, Time  0.374424
2021-09-09 15:01:17.115732 : Epoch  6, Batch    541, Loss  0.891946, Average Loss  0.868269, Time  0.379709
2021-09-09 15:01:19.060818 : Epoch  6, Batch    542, Loss  0.860928, Average Loss  0.868366, Time  0.481096
2021-09-09 15:01:20.868972 : Epoch  6, Batch    543, Loss  0.873404, Average Loss  0.868552, Time  0.370948
2021-09-09 15:01:22.704248 : Epoch  6, Batch    544, Loss  0.886748, Average Loss  0.868512, Time  0.382398
2021-09-09 15:01:24.614804 : Epoch  6, Batch    545, Loss  0.878117, Average Loss  0.868562, Time  0.452391
2021-09-09 15:06:26.480724 : CheckPoint: Validation Loss  0.00060064, Best Loss  0.00056427
2021-09-09 15:06:28.328008 : Epoch  6, Batch    546, Loss  0.899804, Average Loss  0.868802, Time  0.386401
2021-09-09 15:06:30.147766 : Epoch  6, Batch    547, Loss  0.870081, Average Loss  0.868514, Time  0.379053
2021-09-09 15:06:32.033863 : Epoch  6, Batch    548, Loss  0.859657, Average Loss  0.868498, Time  0.457973
2021-09-09 15:06:33.935045 : Epoch  6, Batch    549, Loss  0.849375, Average Loss  0.868361, Time  0.468574
2021-09-09 15:06:35.724979 : Epoch  6, Batch    550, Loss  0.871729, Average Loss  0.868339, Time  0.380733
2021-09-09 15:06:37.515836 : Epoch  6, Batch    551, Loss  0.862929, Average Loss  0.868344, Time  0.376774
2021-09-09 15:06:39.452785 : Epoch  6, Batch    552, Loss  0.895301, Average Loss  0.868416, Time  0.488581
2021-09-09 15:06:41.322103 : Epoch  6, Batch    553, Loss  0.891865, Average Loss  0.868490, Time  0.421337
2021-09-09 15:06:43.151780 : Epoch  6, Batch    554, Loss  0.877661, Average Loss  0.868538, Time  0.377728
2021-09-09 15:06:44.983766 : Epoch  6, Batch    555, Loss  0.883356, Average Loss  0.868624, Time  0.375006
2021-09-09 15:06:46.881274 : Epoch  6, Batch    556, Loss  0.867571, Average Loss  0.868660, Time  0.470002
2021-09-09 15:06:48.689817 : Epoch  6, Batch    557, Loss  0.850540, Average Loss  0.868507, Time  0.381877
2021-09-09 15:06:50.528371 : Epoch  6, Batch    558, Loss  0.861001, Average Loss  0.868539, Time  0.372913
2021-09-09 15:06:52.426835 : Epoch  6, Batch    559, Loss  0.870614, Average Loss  0.868654, Time  0.429565
2021-09-09 15:06:54.334401 : Epoch  6, Batch    560, Loss  0.831815, Average Loss  0.868423, Time  0.466001
2021-09-09 15:06:56.140784 : Epoch  6, Batch    561, Loss  0.861892, Average Loss  0.868511, Time  0.387608
2021-09-09 15:06:57.928976 : Epoch  6, Batch    562, Loss  0.836013, Average Loss  0.868321, Time  0.371438
2021-09-09 15:06:59.816984 : Epoch  6, Batch    563, Loss  0.881262, Average Loss  0.868403, Time  0.474488
2021-09-09 15:07:01.602115 : Epoch  6, Batch    564, Loss  0.871884, Average Loss  0.868500, Time  0.367172
2021-09-09 15:07:03.444300 : Epoch  6, Batch    565, Loss  0.849823, Average Loss  0.868394, Time  0.388642
2021-09-09 15:07:05.332842 : Epoch  6, Batch    566, Loss  0.865041, Average Loss  0.868416, Time  0.451097
2021-09-09 15:07:07.237127 : Epoch  6, Batch    567, Loss  0.868732, Average Loss  0.868395, Time  0.465674
2021-09-09 15:07:09.058948 : Epoch  6, Batch    568, Loss  0.849516, Average Loss  0.868300, Time  0.393379
2021-09-09 15:07:10.879780 : Epoch  6, Batch    569, Loss  0.843595, Average Loss  0.868255, Time  0.375882
2021-09-09 15:07:12.800781 : Epoch  6, Batch    570, Loss  0.871495, Average Loss  0.868104, Time  0.476112
2021-09-09 15:07:14.637284 : Epoch  6, Batch    571, Loss  0.876930, Average Loss  0.868078, Time  0.380455
2021-09-09 15:07:16.423392 : Epoch  6, Batch    572, Loss  0.875513, Average Loss  0.868219, Time  0.366383
2021-09-09 15:07:18.307124 : Epoch  6, Batch    573, Loss  0.858991, Average Loss  0.868201, Time  0.461340
2021-09-09 15:07:20.215887 : Epoch  6, Batch    574, Loss  0.855617, Average Loss  0.868173, Time  0.489004
2021-09-09 15:07:22.036777 : Epoch  6, Batch    575, Loss  0.846119, Average Loss  0.867923, Time  0.374906
2021-09-09 15:07:23.876269 : Epoch  6, Batch    576, Loss  0.850645, Average Loss  0.867805, Time  0.385969
2021-09-09 15:07:25.817833 : Epoch  6, Batch    577, Loss  0.874846, Average Loss  0.867752, Time  0.481324
2021-09-09 15:07:27.701392 : Epoch  6, Batch    578, Loss  0.868250, Average Loss  0.867781, Time  0.437600
2021-09-09 15:07:29.521251 : Epoch  6, Batch    579, Loss  0.892333, Average Loss  0.868037, Time  0.394315
2021-09-09 15:07:31.308115 : Epoch  6, Batch    580, Loss  0.889895, Average Loss  0.868098, Time  0.369125
2021-09-09 15:07:33.199116 : Epoch  6, Batch    581, Loss  0.887013, Average Loss  0.868194, Time  0.484066
2021-09-09 15:07:34.987968 : Epoch  6, Batch    582, Loss  0.849514, Average Loss  0.868190, Time  0.371322
2021-09-09 15:07:36.802873 : Epoch  6, Batch    583, Loss  0.871337, Average Loss  0.868206, Time  0.383615
2021-09-09 15:07:38.661862 : Epoch  6, Batch    584, Loss  0.840625, Average Loss  0.868050, Time  0.421676
2021-09-09 15:07:40.548825 : Epoch  6, Batch    585, Loss  0.857207, Average Loss  0.868056, Time  0.454352
2021-09-09 15:07:42.373199 : Epoch  6, Batch    586, Loss  0.864813, Average Loss  0.868079, Time  0.373363
2021-09-09 15:07:44.187862 : Epoch  6, Batch    587, Loss  0.847658, Average Loss  0.867914, Time  0.382846
2021-09-09 15:07:46.116975 : Epoch  6, Batch    588, Loss  0.850418, Average Loss  0.867799, Time  0.476307
2021-09-09 15:07:47.921821 : Epoch  6, Batch    589, Loss  0.850353, Average Loss  0.867759, Time  0.378564
2021-09-09 15:07:49.749977 : Epoch  6, Batch    590, Loss  0.889998, Average Loss  0.867801, Time  0.377856
2021-09-09 15:07:51.626771 : Epoch  6, Batch    591, Loss  0.883503, Average Loss  0.867889, Time  0.429102
2021-09-09 15:07:53.526382 : Epoch  6, Batch    592, Loss  0.894384, Average Loss  0.867790, Time  0.465584
2021-09-09 15:07:55.325791 : Epoch  6, Batch    593, Loss  0.868035, Average Loss  0.867838, Time  0.369793
2021-09-09 15:07:57.137328 : Epoch  6, Batch    594, Loss  0.875660, Average Loss  0.867856, Time  0.373519
2021-09-09 15:07:59.051811 : Epoch  6, Batch    595, Loss  0.881427, Average Loss  0.867878, Time  0.489472
2021-09-09 15:08:00.887274 : Epoch  6, Batch    596, Loss  0.859310, Average Loss  0.867812, Time  0.372738
2021-09-09 15:08:02.683177 : Epoch  6, Batch    597, Loss  0.868164, Average Loss  0.867851, Time  0.370950
2021-09-09 15:08:04.535905 : Epoch  6, Batch    598, Loss  0.887643, Average Loss  0.868076, Time  0.431804
2021-09-09 15:08:06.450951 : Epoch  6, Batch    599, Loss  0.889749, Average Loss  0.868231, Time  0.497842
2021-09-09 15:08:08.315947 : Epoch  6, Batch    600, Loss  0.883216, Average Loss  0.868268, Time  0.420545
2021-09-09 15:08:10.117807 : Epoch  6, Batch    601, Loss  0.881584, Average Loss  0.868445, Time  0.380164
2021-09-09 15:08:12.074803 : Epoch  6, Batch    602, Loss  0.865689, Average Loss  0.868343, Time  0.474564
2021-09-09 15:08:13.986777 : Epoch  6, Batch    603, Loss  0.834767, Average Loss  0.868106, Time  0.479068
2021-09-09 15:08:15.787105 : Epoch  6, Batch    604, Loss  0.843668, Average Loss  0.868113, Time  0.369279
2021-09-09 15:08:17.601768 : Epoch  6, Batch    605, Loss  0.882039, Average Loss  0.868078, Time  0.369979
2021-09-09 15:08:19.518180 : Epoch  6, Batch    606, Loss  0.878089, Average Loss  0.868071, Time  0.465015
2021-09-09 15:08:21.412858 : Epoch  6, Batch    607, Loss  0.865496, Average Loss  0.868041, Time  0.461570
2021-09-09 15:08:23.223415 : Epoch  6, Batch    608, Loss  0.862518, Average Loss  0.868113, Time  0.372256
2021-09-09 15:08:25.037773 : Epoch  6, Batch    609, Loss  0.874676, Average Loss  0.868203, Time  0.373330
2021-09-09 15:08:26.929127 : Epoch  6, Batch    610, Loss  0.839666, Average Loss  0.868052, Time  0.468831
2021-09-09 15:08:28.880138 : Epoch  6, Batch    611, Loss  0.872365, Average Loss  0.868184, Time  0.460234
2021-09-09 15:08:30.701266 : Epoch  6, Batch    612, Loss  0.895147, Average Loss  0.868276, Time  0.368523
2021-09-09 15:08:32.505774 : Epoch  6, Batch    613, Loss  0.856099, Average Loss  0.868197, Time  0.368118
2021-09-09 15:08:34.415284 : Epoch  6, Batch    614, Loss  0.851156, Average Loss  0.868142, Time  0.471714
2021-09-09 15:08:36.238121 : Epoch  6, Batch    615, Loss  0.834447, Average Loss  0.868100, Time  0.388308
2021-09-09 15:08:38.025788 : Epoch  6, Batch    616, Loss  0.870702, Average Loss  0.868071, Time  0.380298
2021-09-09 15:08:39.829780 : Epoch  6, Batch    617, Loss  0.889613, Average Loss  0.868265, Time  0.378715
2021-09-09 15:08:41.738203 : Epoch  6, Batch    618, Loss  0.870649, Average Loss  0.868206, Time  0.470481
2021-09-09 15:08:43.553879 : Epoch  6, Batch    619, Loss  0.849003, Average Loss  0.868169, Time  0.368309
2021-09-09 15:08:45.354770 : Epoch  6, Batch    620, Loss  0.845315, Average Loss  0.868285, Time  0.363731
2021-09-09 15:08:47.228155 : Epoch  6, Batch    621, Loss  0.903282, Average Loss  0.868396, Time  0.470610
2021-09-09 15:08:49.150307 : Epoch  6, Batch    622, Loss  0.874193, Average Loss  0.868297, Time  0.475666
2021-09-09 15:08:50.934258 : Epoch  6, Batch    623, Loss  0.863403, Average Loss  0.868364, Time  0.373598
2021-09-09 15:08:52.750778 : Epoch  6, Batch    624, Loss  0.859826, Average Loss  0.868307, Time  0.390409
2021-09-09 15:08:54.668938 : Epoch  6, Batch    625, Loss  0.848162, Average Loss  0.868247, Time  0.464741
2021-09-09 15:08:56.588784 : Epoch  6, Batch    626, Loss  0.858698, Average Loss  0.868142, Time  0.473813
2021-09-09 15:08:58.386897 : Epoch  6, Batch    627, Loss  0.874203, Average Loss  0.868098, Time  0.366514
2021-09-09 15:09:00.200779 : Epoch  6, Batch    628, Loss  0.867678, Average Loss  0.868045, Time  0.375354
2021-09-09 15:09:02.137952 : Epoch  6, Batch    629, Loss  0.905052, Average Loss  0.868133, Time  0.479738
2021-09-09 15:09:04.046797 : Epoch  6, Batch    630, Loss  0.897923, Average Loss  0.868185, Time  0.470817
2021-09-09 15:09:05.833020 : Epoch  6, Batch    631, Loss  0.881890, Average Loss  0.868316, Time  0.373529
2021-09-09 15:09:07.628872 : Epoch  6, Batch    632, Loss  0.833071, Average Loss  0.868297, Time  0.378459
2021-09-09 15:09:09.532894 : Epoch  6, Batch    633, Loss  0.849727, Average Loss  0.868388, Time  0.468415
2021-09-09 15:09:11.441361 : Epoch  6, Batch    634, Loss  0.859987, Average Loss  0.868307, Time  0.463643
2021-09-09 15:09:13.218857 : Epoch  6, Batch    635, Loss  0.847634, Average Loss  0.868218, Time  0.370527
2021-09-09 15:09:15.012113 : Epoch  6, Batch    636, Loss  0.866032, Average Loss  0.868236, Time  0.368125
2021-09-09 15:09:16.948967 : Epoch  6, Batch    637, Loss  0.889650, Average Loss  0.868293, Time  0.484668
2021-09-09 15:09:18.871034 : Epoch  6, Batch    638, Loss  0.863617, Average Loss  0.868269, Time  0.482257
2021-09-09 15:09:20.690825 : Epoch  6, Batch    639, Loss  0.886697, Average Loss  0.868323, Time  0.379448
2021-09-09 15:09:22.510785 : Epoch  6, Batch    640, Loss  0.842197, Average Loss  0.868260, Time  0.366310
2021-09-09 15:09:24.436768 : Epoch  6, Batch    641, Loss  0.859280, Average Loss  0.868223, Time  0.460528
2021-09-09 15:09:26.378781 : Epoch  6, Batch    642, Loss  0.861488, Average Loss  0.868104, Time  0.499174
2021-09-09 15:09:28.212141 : Epoch  6, Batch    643, Loss  0.842351, Average Loss  0.868177, Time  0.377985
2021-09-09 15:09:30.045789 : Epoch  6, Batch    644, Loss  0.861562, Average Loss  0.868080, Time  0.367399
2021-09-09 15:09:31.919809 : Epoch  6, Batch    645, Loss  0.900065, Average Loss  0.868187, Time  0.449574
2021-09-09 15:14:22.441719 : CheckPoint: Validation Loss  0.00057769, Best Loss  0.00056427
2021-09-09 15:14:24.274768 : Epoch  6, Batch    646, Loss  0.853373, Average Loss  0.868090, Time  0.373705
2021-09-09 15:14:26.093388 : Epoch  6, Batch    647, Loss  0.867421, Average Loss  0.867995, Time  0.401665
2021-09-09 15:14:27.972093 : Epoch  6, Batch    648, Loss  0.850130, Average Loss  0.867909, Time  0.466129
2021-09-09 15:14:29.786375 : Epoch  6, Batch    649, Loss  0.856143, Average Loss  0.867674, Time  0.370876
2021-09-09 15:14:31.567115 : Epoch  6, Batch    650, Loss  0.873726, Average Loss  0.867545, Time  0.380016
2021-09-09 15:14:33.448845 : Epoch  6, Batch    651, Loss  0.886786, Average Loss  0.867559, Time  0.465730
2021-09-09 15:14:35.364836 : Epoch  6, Batch    652, Loss  0.843886, Average Loss  0.867497, Time  0.475322
2021-09-09 15:14:37.173790 : Epoch  6, Batch    653, Loss  0.877684, Average Loss  0.867388, Time  0.376246
2021-09-09 15:14:38.970123 : Epoch  6, Batch    654, Loss  0.860153, Average Loss  0.867275, Time  0.374441
2021-09-09 15:14:40.863136 : Epoch  6, Batch    655, Loss  0.884186, Average Loss  0.867335, Time  0.464678
2021-09-09 15:14:42.669837 : Epoch  6, Batch    656, Loss  0.888539, Average Loss  0.867475, Time  0.349574
2021-09-09 15:14:44.472862 : Epoch  6, Batch    657, Loss  0.852881, Average Loss  0.867339, Time  0.389224
2021-09-09 15:14:46.278960 : Epoch  6, Batch    658, Loss  0.875143, Average Loss  0.867253, Time  0.403480
2021-09-09 15:14:48.159855 : Epoch  6, Batch    659, Loss  0.851828, Average Loss  0.867161, Time  0.471239
2021-09-09 15:14:49.954055 : Epoch  6, Batch    660, Loss  0.899373, Average Loss  0.867424, Time  0.372549
2021-09-09 15:14:51.751941 : Epoch  6, Batch    661, Loss  0.880919, Average Loss  0.867342, Time  0.379148
2021-09-09 15:14:53.665904 : Epoch  6, Batch    662, Loss  0.891790, Average Loss  0.867486, Time  0.477853
2021-09-09 15:14:55.466955 : Epoch  6, Batch    663, Loss  0.858391, Average Loss  0.867534, Time  0.393223
2021-09-09 15:14:57.265783 : Epoch  6, Batch    664, Loss  0.867145, Average Loss  0.867562, Time  0.374489
2021-09-09 15:14:59.077128 : Epoch  6, Batch    665, Loss  0.850354, Average Loss  0.867620, Time  0.373184
2021-09-09 15:15:01.008974 : Epoch  6, Batch    666, Loss  0.861447, Average Loss  0.867429, Time  0.483048
2021-09-09 15:15:02.851827 : Epoch  6, Batch    667, Loss  0.866446, Average Loss  0.867436, Time  0.383883
2021-09-09 15:15:04.648888 : Epoch  6, Batch    668, Loss  0.872431, Average Loss  0.867479, Time  0.390776
2021-09-09 15:15:06.528126 : Epoch  6, Batch    669, Loss  0.834410, Average Loss  0.867206, Time  0.461926
2021-09-09 15:15:08.437692 : Epoch  6, Batch    670, Loss  0.871231, Average Loss  0.867336, Time  0.473976
2021-09-09 15:15:10.213329 : Epoch  6, Batch    671, Loss  0.840227, Average Loss  0.867329, Time  0.379865
2021-09-09 15:15:11.995825 : Epoch  6, Batch    672, Loss  0.864533, Average Loss  0.867410, Time  0.373934
2021-09-09 15:15:13.904881 : Epoch  6, Batch    673, Loss  0.862260, Average Loss  0.867390, Time  0.470888
2021-09-09 15:15:15.794783 : Epoch  6, Batch    674, Loss  0.845523, Average Loss  0.867183, Time  0.450689
2021-09-09 15:15:17.603812 : Epoch  6, Batch    675, Loss  0.877831, Average Loss  0.867294, Time  0.371322
2021-09-09 15:15:19.405890 : Epoch  6, Batch    676, Loss  0.831332, Average Loss  0.867125, Time  0.372620
2021-09-09 15:15:21.339269 : Epoch  6, Batch    677, Loss  0.873390, Average Loss  0.867334, Time  0.481646
2021-09-09 15:15:23.186963 : Epoch  6, Batch    678, Loss  0.874694, Average Loss  0.867380, Time  0.348207
2021-09-09 15:15:25.013907 : Epoch  6, Batch    679, Loss  0.875858, Average Loss  0.867354, Time  0.375106
2021-09-09 15:15:26.838964 : Epoch  6, Batch    680, Loss  0.886921, Average Loss  0.867525, Time  0.386102
2021-09-09 15:15:28.713258 : Epoch  6, Batch    681, Loss  0.829423, Average Loss  0.867326, Time  0.470969
2021-09-09 15:15:30.493939 : Epoch  6, Batch    682, Loss  0.842977, Average Loss  0.867196, Time  0.384919
2021-09-09 15:15:32.270825 : Epoch  6, Batch    683, Loss  0.867371, Average Loss  0.867118, Time  0.372620
2021-09-09 15:15:34.168954 : Epoch  6, Batch    684, Loss  0.885007, Average Loss  0.867142, Time  0.482299
2021-09-09 15:15:35.976831 : Epoch  6, Batch    685, Loss  0.887035, Average Loss  0.867204, Time  0.370121
2021-09-09 15:15:37.774814 : Epoch  6, Batch    686, Loss  0.886551, Average Loss  0.867150, Time  0.366623
2021-09-09 15:15:39.629848 : Epoch  6, Batch    687, Loss  0.865193, Average Loss  0.867154, Time  0.422544
2021-09-09 15:15:41.507874 : Epoch  6, Batch    688, Loss  0.846579, Average Loss  0.866903, Time  0.466874
2021-09-09 15:15:43.302803 : Epoch  6, Batch    689, Loss  0.905561, Average Loss  0.867105, Time  0.375698
2021-09-09 15:15:45.113782 : Epoch  6, Batch    690, Loss  0.841670, Average Loss  0.866992, Time  0.378436
2021-09-09 15:15:47.014864 : Epoch  6, Batch    691, Loss  0.880751, Average Loss  0.867078, Time  0.496842
2021-09-09 15:15:48.806137 : Epoch  6, Batch    692, Loss  0.884613, Average Loss  0.867120, Time  0.376830
2021-09-09 15:15:50.611831 : Epoch  6, Batch    693, Loss  0.872595, Average Loss  0.867247, Time  0.371075
2021-09-09 15:15:52.456776 : Epoch  6, Batch    694, Loss  0.858818, Average Loss  0.867244, Time  0.422206
2021-09-09 15:15:54.349842 : Epoch  6, Batch    695, Loss  0.874713, Average Loss  0.867247, Time  0.463259
2021-09-09 15:15:56.148251 : Epoch  6, Batch    696, Loss  0.851242, Average Loss  0.867159, Time  0.374843
2021-09-09 15:15:57.935885 : Epoch  6, Batch    697, Loss  0.863943, Average Loss  0.867118, Time  0.373359
2021-09-09 15:15:59.871777 : Epoch  6, Batch    698, Loss  0.862247, Average Loss  0.867164, Time  0.481369
2021-09-09 15:16:01.681788 : Epoch  6, Batch    699, Loss  0.879963, Average Loss  0.867397, Time  0.357360
2021-09-09 15:16:03.497954 : Epoch  6, Batch    700, Loss  0.892747, Average Loss  0.867562, Time  0.372753
2021-09-09 15:16:05.328875 : Epoch  6, Batch    701, Loss  0.883888, Average Loss  0.867707, Time  0.399804
2021-09-09 15:16:07.281248 : Epoch  6, Batch    702, Loss  0.871839, Average Loss  0.867702, Time  0.484087
2021-09-09 15:16:09.079248 : Epoch  6, Batch    703, Loss  0.867537, Average Loss  0.867785, Time  0.375075
2021-09-09 15:16:10.882935 : Epoch  6, Batch    704, Loss  0.881392, Average Loss  0.867837, Time  0.380659
2021-09-09 15:16:12.779783 : Epoch  6, Batch    705, Loss  0.854860, Average Loss  0.867892, Time  0.463509
2021-09-09 15:16:14.689253 : Epoch  6, Batch    706, Loss  0.875953, Average Loss  0.868008, Time  0.464157
2021-09-09 15:16:16.517884 : Epoch  6, Batch    707, Loss  0.862482, Average Loss  0.867881, Time  0.379567
2021-09-09 15:16:18.289781 : Epoch  6, Batch    708, Loss  0.890321, Average Loss  0.868001, Time  0.368028
2021-09-09 15:16:20.188130 : Epoch  6, Batch    709, Loss  0.838570, Average Loss  0.867814, Time  0.482396
2021-09-09 15:16:21.979862 : Epoch  6, Batch    710, Loss  0.875368, Average Loss  0.867913, Time  0.368832
2021-09-09 15:16:23.840128 : Epoch  6, Batch    711, Loss  0.863653, Average Loss  0.867756, Time  0.391106
2021-09-09 15:16:25.707809 : Epoch  6, Batch    712, Loss  0.869520, Average Loss  0.867839, Time  0.418421
2021-09-09 15:16:27.639876 : Epoch  6, Batch    713, Loss  0.844135, Average Loss  0.867605, Time  0.480222
2021-09-09 15:16:29.447776 : Epoch  6, Batch    714, Loss  0.866288, Average Loss  0.867513, Time  0.394305
2021-09-09 15:16:31.251782 : Epoch  6, Batch    715, Loss  0.863985, Average Loss  0.867514, Time  0.374679
2021-09-09 15:16:33.159810 : Epoch  6, Batch    716, Loss  0.898265, Average Loss  0.867516, Time  0.468032
2021-09-09 15:16:35.062140 : Epoch  6, Batch    717, Loss  0.855016, Average Loss  0.867495, Time  0.479819
2021-09-09 15:16:36.852770 : Epoch  6, Batch    718, Loss  0.838086, Average Loss  0.867426, Time  0.369874
2021-09-09 15:16:38.632754 : Epoch  6, Batch    719, Loss  0.866736, Average Loss  0.867424, Time  0.366793
2021-09-09 15:16:40.533777 : Epoch  6, Batch    720, Loss  0.869313, Average Loss  0.867356, Time  0.484900
2021-09-09 15:16:42.425239 : Epoch  6, Batch    721, Loss  0.883610, Average Loss  0.867303, Time  0.467730
2021-09-09 15:16:44.218768 : Epoch  6, Batch    722, Loss  0.875119, Average Loss  0.867205, Time  0.364394
2021-09-09 15:16:46.009790 : Epoch  6, Batch    723, Loss  0.861599, Average Loss  0.867208, Time  0.377970
2021-09-09 15:16:47.915015 : Epoch  6, Batch    724, Loss  0.887686, Average Loss  0.867263, Time  0.471915
2021-09-09 15:16:49.679883 : Epoch  6, Batch    725, Loss  0.853219, Average Loss  0.867017, Time  0.367364
2021-09-09 15:16:51.491194 : Epoch  6, Batch    726, Loss  0.866748, Average Loss  0.866991, Time  0.372799
2021-09-09 15:16:53.295872 : Epoch  6, Batch    727, Loss  0.876805, Average Loss  0.867097, Time  0.389313
2021-09-09 15:16:55.232775 : Epoch  6, Batch    728, Loss  0.858578, Average Loss  0.866954, Time  0.492148
2021-09-09 15:16:57.011294 : Epoch  6, Batch    729, Loss  0.877470, Average Loss  0.867092, Time  0.372036
2021-09-09 15:16:58.798692 : Epoch  6, Batch    730, Loss  0.857734, Average Loss  0.866982, Time  0.369133
2021-09-09 15:17:00.674117 : Epoch  6, Batch    731, Loss  0.854313, Average Loss  0.866992, Time  0.462442
2021-09-09 15:17:02.567115 : Epoch  6, Batch    732, Loss  0.878942, Average Loss  0.867227, Time  0.468546
2021-09-09 15:17:04.362828 : Epoch  6, Batch    733, Loss  0.843434, Average Loss  0.867340, Time  0.370842
2021-09-09 15:17:06.226833 : Epoch  6, Batch    734, Loss  0.829443, Average Loss  0.867223, Time  0.384420
2021-09-09 15:17:08.118666 : Epoch  6, Batch    735, Loss  0.856212, Average Loss  0.867203, Time  0.467463
2021-09-09 15:17:09.999123 : Epoch  6, Batch    736, Loss  0.888589, Average Loss  0.867145, Time  0.483523
2021-09-09 15:17:11.785352 : Epoch  6, Batch    737, Loss  0.877146, Average Loss  0.867214, Time  0.378143
2021-09-09 15:17:13.588299 : Epoch  6, Batch    738, Loss  0.876284, Average Loss  0.867175, Time  0.386777
2021-09-09 15:17:15.477883 : Epoch  6, Batch    739, Loss  0.867425, Average Loss  0.867316, Time  0.468325
2021-09-09 15:17:17.322341 : Epoch  6, Batch    740, Loss  0.859354, Average Loss  0.867188, Time  0.433555
2021-09-09 15:17:19.088258 : Epoch  6, Batch    741, Loss  0.848554, Average Loss  0.866971, Time  0.367572
2021-09-09 15:17:20.876140 : Epoch  6, Batch    742, Loss  0.860399, Average Loss  0.866968, Time  0.374560
2021-09-09 15:17:22.772806 : Epoch  6, Batch    743, Loss  0.870319, Average Loss  0.866953, Time  0.477607
2021-09-09 15:17:24.621326 : Epoch  6, Batch    744, Loss  0.856953, Average Loss  0.866804, Time  0.370269
2021-09-09 15:17:26.423968 : Epoch  6, Batch    745, Loss  0.862728, Average Loss  0.866727, Time  0.377475
2021-09-09 15:22:17.052722 : CheckPoint: Validation Loss  0.00060023, Best Loss  0.00056427
2021-09-09 15:22:18.956819 : Epoch  6, Batch    746, Loss  0.899118, Average Loss  0.866723, Time  0.480626
2021-09-09 15:22:20.768784 : Epoch  6, Batch    747, Loss  0.901414, Average Loss  0.866880, Time  0.382474
2021-09-09 15:22:22.560919 : Epoch  6, Batch    748, Loss  0.870628, Average Loss  0.866935, Time  0.373645
2021-09-09 15:22:24.343201 : Epoch  6, Batch    749, Loss  0.823681, Average Loss  0.866806, Time  0.369966
2021-09-09 15:22:26.212870 : Epoch  6, Batch    750, Loss  0.891475, Average Loss  0.866905, Time  0.463441
2021-09-09 15:22:28.009766 : Epoch  6, Batch    751, Loss  0.883746, Average Loss  0.867009, Time  0.380081
2021-09-09 15:22:29.811911 : Epoch  6, Batch    752, Loss  0.869658, Average Loss  0.866881, Time  0.379592
2021-09-09 15:22:31.738134 : Epoch  6, Batch    753, Loss  0.841633, Average Loss  0.866630, Time  0.474378
2021-09-09 15:22:33.547770 : Epoch  6, Batch    754, Loss  0.866455, Average Loss  0.866574, Time  0.367988
2021-09-09 15:22:35.326653 : Epoch  6, Batch    755, Loss  0.866744, Average Loss  0.866491, Time  0.381539
2021-09-09 15:22:37.137082 : Epoch  6, Batch    756, Loss  0.867502, Average Loss  0.866490, Time  0.400567
2021-09-09 15:22:39.009853 : Epoch  6, Batch    757, Loss  0.875982, Average Loss  0.866617, Time  0.460586
2021-09-09 15:22:40.789197 : Epoch  6, Batch    758, Loss  0.891932, Average Loss  0.866772, Time  0.373014
2021-09-09 15:22:42.591766 : Epoch  6, Batch    759, Loss  0.871987, Average Loss  0.866779, Time  0.382315
2021-09-09 15:22:44.533836 : Epoch  6, Batch    760, Loss  0.880928, Average Loss  0.867025, Time  0.490244
2021-09-09 15:22:46.467139 : Epoch  6, Batch    761, Loss  0.852345, Average Loss  0.866977, Time  0.474908
2021-09-09 15:22:48.272953 : Epoch  6, Batch    762, Loss  0.889351, Average Loss  0.867244, Time  0.371707
2021-09-09 15:22:50.090225 : Epoch  6, Batch    763, Loss  0.906639, Average Loss  0.867370, Time  0.370574
2021-09-09 15:22:51.986066 : Epoch  6, Batch    764, Loss  0.876842, Average Loss  0.867395, Time  0.464309
2021-09-09 15:22:53.870789 : Epoch  6, Batch    765, Loss  0.897063, Average Loss  0.867631, Time  0.454043
2021-09-09 15:22:55.681787 : Epoch  6, Batch    766, Loss  0.840914, Average Loss  0.867511, Time  0.369325
2021-09-09 15:22:57.561769 : Epoch  6, Batch    767, Loss  0.887101, Average Loss  0.867603, Time  0.382042
2021-09-09 15:22:59.486906 : Epoch  6, Batch    768, Loss  0.875973, Average Loss  0.867735, Time  0.466708
2021-09-09 15:23:01.374766 : Epoch  6, Batch    769, Loss  0.856165, Average Loss  0.867798, Time  0.448634
2021-09-09 15:23:03.189794 : Epoch  6, Batch    770, Loss  0.832683, Average Loss  0.867604, Time  0.383476
2021-09-09 15:23:05.018124 : Epoch  6, Batch    771, Loss  0.850584, Average Loss  0.867472, Time  0.380237
2021-09-09 15:23:06.922928 : Epoch  6, Batch    772, Loss  0.882375, Average Loss  0.867506, Time  0.476420
2021-09-09 15:23:08.750142 : Epoch  6, Batch    773, Loss  0.862370, Average Loss  0.867523, Time  0.381689
2021-09-09 15:23:10.586777 : Epoch  6, Batch    774, Loss  0.882063, Average Loss  0.867655, Time  0.378132
2021-09-09 15:23:12.459961 : Epoch  6, Batch    775, Loss  0.831384, Average Loss  0.867582, Time  0.417317
2021-09-09 15:23:14.397916 : Epoch  6, Batch    776, Loss  0.885734, Average Loss  0.867757, Time  0.474816
2021-09-09 15:23:16.217813 : Epoch  6, Batch    777, Loss  0.863537, Average Loss  0.867701, Time  0.375386
2021-09-09 15:23:18.067836 : Epoch  6, Batch    778, Loss  0.840090, Average Loss  0.867560, Time  0.368183
2021-09-09 15:23:19.960815 : Epoch  6, Batch    779, Loss  0.854747, Average Loss  0.867372, Time  0.460502
2021-09-09 15:23:21.900270 : Epoch  6, Batch    780, Loss  0.885752, Average Loss  0.867351, Time  0.482104
2021-09-09 15:23:23.692902 : Epoch  6, Batch    781, Loss  0.830556, Average Loss  0.867069, Time  0.370697
2021-09-09 15:23:25.490332 : Epoch  6, Batch    782, Loss  0.870387, Average Loss  0.867173, Time  0.368020
2021-09-09 15:23:27.404150 : Epoch  6, Batch    783, Loss  0.853714, Average Loss  0.867085, Time  0.487238
2021-09-09 15:23:29.300801 : Epoch  6, Batch    784, Loss  0.892637, Average Loss  0.867345, Time  0.473694
2021-09-09 15:23:31.089800 : Epoch  6, Batch    785, Loss  0.892501, Average Loss  0.867522, Time  0.378835
2021-09-09 15:23:32.876819 : Epoch  6, Batch    786, Loss  0.839848, Average Loss  0.867397, Time  0.373861
2021-09-09 15:23:34.758768 : Epoch  6, Batch    787, Loss  0.835900, Average Loss  0.867338, Time  0.451516
2021-09-09 15:23:36.685089 : Epoch  6, Batch    788, Loss  0.861210, Average Loss  0.867392, Time  0.472658
2021-09-09 15:23:38.503786 : Epoch  6, Batch    789, Loss  0.873286, Average Loss  0.867507, Time  0.369658
2021-09-09 15:23:40.311785 : Epoch  6, Batch    790, Loss  0.841723, Average Loss  0.867265, Time  0.369197
2021-09-09 15:23:42.230767 : Epoch  6, Batch    791, Loss  0.866957, Average Loss  0.867183, Time  0.431829
2021-09-09 15:23:44.166888 : Epoch  6, Batch    792, Loss  0.893765, Average Loss  0.867179, Time  0.473783
2021-09-09 15:23:45.987199 : Epoch  6, Batch    793, Loss  0.857719, Average Loss  0.867128, Time  0.368615
2021-09-09 15:23:47.773893 : Epoch  6, Batch    794, Loss  0.855695, Average Loss  0.867028, Time  0.371676
2021-09-09 15:23:49.661833 : Epoch  6, Batch    795, Loss  0.862504, Average Loss  0.866933, Time  0.458117
2021-09-09 15:23:51.576926 : Epoch  6, Batch    796, Loss  0.895743, Average Loss  0.867116, Time  0.472544
2021-09-09 15:23:53.420821 : Epoch  6, Batch    797, Loss  0.869934, Average Loss  0.867124, Time  0.372334
2021-09-09 15:23:55.211215 : Epoch  6, Batch    798, Loss  0.878665, Average Loss  0.867080, Time  0.368927
2021-09-09 15:23:57.119247 : Epoch  6, Batch    799, Loss  0.829031, Average Loss  0.866776, Time  0.467771
2021-09-09 15:23:59.066985 : Epoch  6, Batch    800, Loss  0.878052, Average Loss  0.866750, Time  0.481673
2021-09-09 15:24:00.898292 : Epoch  6, Batch    801, Loss  0.858792, Average Loss  0.866636, Time  0.377048
2021-09-09 15:24:02.720955 : Epoch  6, Batch    802, Loss  0.855285, Average Loss  0.866584, Time  0.391257
2021-09-09 15:24:04.642785 : Epoch  6, Batch    803, Loss  0.883018, Average Loss  0.866825, Time  0.472901
2021-09-09 15:24:06.433257 : Epoch  6, Batch    804, Loss  0.891872, Average Loss  0.867066, Time  0.374622
2021-09-09 15:24:08.268779 : Epoch  6, Batch    805, Loss  0.887911, Average Loss  0.867096, Time  0.380564
2021-09-09 15:24:10.170854 : Epoch  6, Batch    806, Loss  0.892547, Average Loss  0.867168, Time  0.479344
2021-09-09 15:24:12.087142 : Epoch  6, Batch    807, Loss  0.868628, Average Loss  0.867184, Time  0.469027
2021-09-09 15:24:13.880776 : Epoch  6, Batch    808, Loss  0.857908, Average Loss  0.867161, Time  0.381741
2021-09-09 15:24:15.676781 : Epoch  6, Batch    809, Loss  0.873292, Average Loss  0.867154, Time  0.369787
2021-09-09 15:24:17.551812 : Epoch  6, Batch    810, Loss  0.870738, Average Loss  0.867309, Time  0.450818
2021-09-09 15:24:19.383841 : Epoch  6, Batch    811, Loss  0.881957, Average Loss  0.867357, Time  0.423516
2021-09-09 15:24:21.177867 : Epoch  6, Batch    812, Loss  0.881143, Average Loss  0.867287, Time  0.372864
2021-09-09 15:24:22.967892 : Epoch  6, Batch    813, Loss  0.853537, Average Loss  0.867274, Time  0.363950
2021-09-09 15:24:24.888800 : Epoch  6, Batch    814, Loss  0.859490, Average Loss  0.867316, Time  0.473305
2021-09-09 15:24:26.749065 : Epoch  6, Batch    815, Loss  0.895545, Average Loss  0.867621, Time  0.444442
2021-09-09 15:24:28.550806 : Epoch  6, Batch    816, Loss  0.888545, Average Loss  0.867711, Time  0.396634
2021-09-09 15:24:30.370923 : Epoch  6, Batch    817, Loss  0.825288, Average Loss  0.867389, Time  0.396730
2021-09-09 15:24:32.259784 : Epoch  6, Batch    818, Loss  0.885060, Average Loss  0.867461, Time  0.478744
2021-09-09 15:24:34.125262 : Epoch  6, Batch    819, Loss  0.870299, Average Loss  0.867568, Time  0.430007
2021-09-09 15:24:35.921731 : Epoch  6, Batch    820, Loss  0.885002, Average Loss  0.867766, Time  0.373320
2021-09-09 15:24:37.728181 : Epoch  6, Batch    821, Loss  0.873736, Average Loss  0.867618, Time  0.373812
2021-09-09 15:24:39.637777 : Epoch  6, Batch    822, Loss  0.871789, Average Loss  0.867606, Time  0.466980
2021-09-09 15:24:41.472853 : Epoch  6, Batch    823, Loss  0.872773, Average Loss  0.867653, Time  0.393366
2021-09-09 15:24:43.291252 : Epoch  6, Batch    824, Loss  0.880807, Average Loss  0.867758, Time  0.374191
2021-09-09 15:24:45.135269 : Epoch  6, Batch    825, Loss  0.876285, Average Loss  0.867899, Time  0.429797
2021-09-09 15:24:46.992951 : Epoch  6, Batch    826, Loss  0.880049, Average Loss  0.868005, Time  0.445982
2021-09-09 15:24:48.801051 : Epoch  6, Batch    827, Loss  0.857652, Average Loss  0.867923, Time  0.376073
2021-09-09 15:24:50.582344 : Epoch  6, Batch    828, Loss  0.869947, Average Loss  0.867934, Time  0.367812
2021-09-09 15:24:52.460261 : Epoch  6, Batch    829, Loss  0.889531, Average Loss  0.867856, Time  0.470945
2021-09-09 15:24:54.247793 : Epoch  6, Batch    830, Loss  0.878752, Average Loss  0.867761, Time  0.369354
2021-09-09 15:24:56.051783 : Epoch  6, Batch    831, Loss  0.884035, Average Loss  0.867771, Time  0.374016
2021-09-09 15:24:57.956780 : Epoch  6, Batch    832, Loss  0.882761, Average Loss  0.868020, Time  0.453623
2021-09-09 15:24:59.882203 : Epoch  6, Batch    833, Loss  0.903570, Average Loss  0.868289, Time  0.479885
2021-09-09 15:25:01.688828 : Epoch  6, Batch    834, Loss  0.870664, Average Loss  0.868342, Time  0.380428
2021-09-09 15:25:03.490932 : Epoch  6, Batch    835, Loss  0.874486, Average Loss  0.868477, Time  0.371224
2021-09-09 15:25:05.402776 : Epoch  6, Batch    836, Loss  0.896034, Average Loss  0.868627, Time  0.475520
2021-09-09 15:25:07.271825 : Epoch  6, Batch    837, Loss  0.852775, Average Loss  0.868442, Time  0.467590
2021-09-09 15:25:09.066780 : Epoch  6, Batch    838, Loss  0.880708, Average Loss  0.868528, Time  0.369633
2021-09-09 15:25:10.864022 : Epoch  6, Batch    839, Loss  0.881677, Average Loss  0.868503, Time  0.370614
2021-09-09 15:25:12.747833 : Epoch  6, Batch    840, Loss  0.840614, Average Loss  0.868495, Time  0.473111
2021-09-09 15:25:14.656782 : Epoch  6, Batch    841, Loss  0.880079, Average Loss  0.868599, Time  0.475298
2021-09-09 15:25:16.461788 : Epoch  6, Batch    842, Loss  0.879120, Average Loss  0.868687, Time  0.371607
2021-09-09 15:25:18.290112 : Epoch  6, Batch    843, Loss  0.876592, Average Loss  0.868858, Time  0.373147
2021-09-09 15:25:20.244768 : Epoch  6, Batch    844, Loss  0.873114, Average Loss  0.868916, Time  0.470888
2021-09-09 15:25:22.158132 : Epoch  6, Batch    845, Loss  0.899014, Average Loss  0.868910, Time  0.468328
2021-09-09 15:30:12.815706 : CheckPoint: Validation Loss  0.00061268, Best Loss  0.00056427
2021-09-09 15:30:14.622959 : Epoch  6, Batch    846, Loss  0.870433, Average Loss  0.868996, Time  0.374796
2021-09-09 15:30:16.445787 : Epoch  6, Batch    847, Loss  0.856577, Average Loss  0.868942, Time  0.392553
2021-09-09 15:30:18.358092 : Epoch  6, Batch    848, Loss  0.864843, Average Loss  0.869015, Time  0.485343
2021-09-09 15:30:20.173780 : Epoch  6, Batch    849, Loss  0.876258, Average Loss  0.869116, Time  0.381516
2021-09-09 15:30:21.973898 : Epoch  6, Batch    850, Loss  0.876626, Average Loss  0.869130, Time  0.381372
2021-09-09 15:30:23.844783 : Epoch  6, Batch    851, Loss  0.866073, Average Loss  0.869027, Time  0.451406
2021-09-09 15:30:25.716201 : Epoch  6, Batch    852, Loss  0.860722, Average Loss  0.869111, Time  0.461206
2021-09-09 15:30:27.500018 : Epoch  6, Batch    853, Loss  0.877296, Average Loss  0.869109, Time  0.375751
2021-09-09 15:30:29.282871 : Epoch  6, Batch    854, Loss  0.881961, Average Loss  0.869218, Time  0.369547
2021-09-09 15:30:31.162784 : Epoch  6, Batch    855, Loss  0.869267, Average Loss  0.869143, Time  0.470989
2021-09-09 15:30:32.990782 : Epoch  6, Batch    856, Loss  0.844092, Average Loss  0.868921, Time  0.369179
2021-09-09 15:30:34.818147 : Epoch  6, Batch    857, Loss  0.865628, Average Loss  0.868985, Time  0.377071
2021-09-09 15:30:36.638785 : Epoch  6, Batch    858, Loss  0.891177, Average Loss  0.869065, Time  0.376080
2021-09-09 15:30:38.542783 : Epoch  6, Batch    859, Loss  0.874714, Average Loss  0.869179, Time  0.479281
2021-09-09 15:30:40.347257 : Epoch  6, Batch    860, Loss  0.856585, Average Loss  0.868965, Time  0.366906
2021-09-09 15:30:42.171769 : Epoch  6, Batch    861, Loss  0.842584, Average Loss  0.868774, Time  0.385357
2021-09-09 15:30:44.061109 : Epoch  6, Batch    862, Loss  0.880856, Average Loss  0.868719, Time  0.490359
2021-09-09 15:30:45.827778 : Epoch  6, Batch    863, Loss  0.859988, Average Loss  0.868727, Time  0.366662
2021-09-09 15:30:47.624142 : Epoch  6, Batch    864, Loss  0.890010, Average Loss  0.868841, Time  0.377411
2021-09-09 15:30:49.411770 : Epoch  6, Batch    865, Loss  0.842785, Average Loss  0.868804, Time  0.389008
2021-09-09 15:30:51.303363 : Epoch  6, Batch    866, Loss  0.836035, Average Loss  0.868677, Time  0.466394
2021-09-09 15:30:53.087781 : Epoch  6, Batch    867, Loss  0.861260, Average Loss  0.868651, Time  0.364659
2021-09-09 15:30:54.885769 : Epoch  6, Batch    868, Loss  0.902630, Average Loss  0.868802, Time  0.369445
2021-09-09 15:30:56.810267 : Epoch  6, Batch    869, Loss  0.842080, Average Loss  0.868840, Time  0.494389
2021-09-09 15:30:58.620767 : Epoch  6, Batch    870, Loss  0.865359, Average Loss  0.868811, Time  0.361530
2021-09-09 15:31:00.404771 : Epoch  6, Batch    871, Loss  0.868101, Average Loss  0.868950, Time  0.370426
2021-09-09 15:31:02.219950 : Epoch  6, Batch    872, Loss  0.867966, Average Loss  0.868967, Time  0.381166
2021-09-09 15:31:04.152157 : Epoch  6, Batch    873, Loss  0.885190, Average Loss  0.869082, Time  0.493168
2021-09-09 15:31:05.978254 : Epoch  6, Batch    874, Loss  0.861168, Average Loss  0.869160, Time  0.372963
2021-09-09 15:31:07.821782 : Epoch  6, Batch    875, Loss  0.854752, Average Loss  0.869045, Time  0.389978
2021-09-09 15:31:09.721855 : Epoch  6, Batch    876, Loss  0.899025, Average Loss  0.869383, Time  0.449674
2021-09-09 15:31:11.643782 : Epoch  6, Batch    877, Loss  0.877915, Average Loss  0.869406, Time  0.476468
2021-09-09 15:31:13.496932 : Epoch  6, Batch    878, Loss  0.836415, Average Loss  0.869214, Time  0.377282
2021-09-09 15:31:15.284782 : Epoch  6, Batch    879, Loss  0.866462, Average Loss  0.869167, Time  0.390900
2021-09-09 15:31:17.186127 : Epoch  6, Batch    880, Loss  0.862195, Average Loss  0.869044, Time  0.462848
2021-09-09 15:31:19.094607 : Epoch  6, Batch    881, Loss  0.876500, Average Loss  0.869279, Time  0.470868
2021-09-09 15:31:20.919259 : Epoch  6, Batch    882, Loss  0.876315, Average Loss  0.869446, Time  0.381049
2021-09-09 15:31:22.715567 : Epoch  6, Batch    883, Loss  0.908416, Average Loss  0.869651, Time  0.372326
2021-09-09 15:31:24.610057 : Epoch  6, Batch    884, Loss  0.900494, Average Loss  0.869728, Time  0.473263
2021-09-09 15:31:26.514764 : Epoch  6, Batch    885, Loss  0.821167, Average Loss  0.869399, Time  0.433881
2021-09-09 15:31:28.321791 : Epoch  6, Batch    886, Loss  0.877709, Average Loss  0.869355, Time  0.376148
2021-09-09 15:31:30.105122 : Epoch  6, Batch    887, Loss  0.872463, Average Loss  0.869391, Time  0.370223
2021-09-09 15:31:32.006884 : Epoch  6, Batch    888, Loss  0.878650, Average Loss  0.869552, Time  0.488204
2021-09-09 15:31:33.797361 : Epoch  6, Batch    889, Loss  0.872059, Average Loss  0.869384, Time  0.370048
2021-09-09 15:31:35.609798 : Epoch  6, Batch    890, Loss  0.874428, Average Loss  0.869548, Time  0.368131
2021-09-09 15:31:37.510769 : Epoch  6, Batch    891, Loss  0.856442, Average Loss  0.869426, Time  0.424620
2021-09-09 15:31:39.413833 : Epoch  6, Batch    892, Loss  0.872849, Average Loss  0.869367, Time  0.468407
2021-09-09 15:31:41.231970 : Epoch  6, Batch    893, Loss  0.836403, Average Loss  0.869187, Time  0.380553
2021-09-09 15:31:43.010103 : Epoch  6, Batch    894, Loss  0.870321, Average Loss  0.869244, Time  0.372738
2021-09-09 15:31:44.894337 : Epoch  6, Batch    895, Loss  0.875404, Average Loss  0.869248, Time  0.462423
2021-09-09 15:31:46.794824 : Epoch  6, Batch    896, Loss  0.848608, Average Loss  0.869234, Time  0.463517
2021-09-09 15:31:48.612257 : Epoch  6, Batch    897, Loss  0.888688, Average Loss  0.869358, Time  0.376044
2021-09-09 15:31:50.424900 : Epoch  6, Batch    898, Loss  0.846463, Average Loss  0.869279, Time  0.381744
2021-09-09 15:31:52.334814 : Epoch  6, Batch    899, Loss  0.886267, Average Loss  0.869311, Time  0.468828
2021-09-09 15:31:54.113792 : Epoch  6, Batch    900, Loss  0.884023, Average Loss  0.869267, Time  0.374892
2021-09-09 15:31:55.912030 : Epoch  6, Batch    901, Loss  0.869179, Average Loss  0.869193, Time  0.370356
2021-09-09 15:31:57.736766 : Epoch  6, Batch    902, Loss  0.853330, Average Loss  0.869101, Time  0.386184
2021-09-09 15:31:59.636994 : Epoch  6, Batch    903, Loss  0.893916, Average Loss  0.869233, Time  0.471196
2021-09-09 15:32:01.451859 : Epoch  6, Batch    904, Loss  0.869256, Average Loss  0.869172, Time  0.369673
2021-09-09 15:32:03.259117 : Epoch  6, Batch    905, Loss  0.846826, Average Loss  0.869132, Time  0.371245
2021-09-09 15:32:05.181784 : Epoch  6, Batch    906, Loss  0.872895, Average Loss  0.869117, Time  0.442365
2021-09-09 15:32:07.095274 : Epoch  6, Batch    907, Loss  0.849270, Average Loss  0.869051, Time  0.497963
2021-09-09 15:32:08.897000 : Epoch  6, Batch    908, Loss  0.862316, Average Loss  0.868911, Time  0.377819
2021-09-09 15:32:10.717182 : Epoch  6, Batch    909, Loss  0.902864, Average Loss  0.869232, Time  0.371956
2021-09-09 15:32:12.627962 : Epoch  6, Batch    910, Loss  0.851305, Average Loss  0.869112, Time  0.478723
2021-09-09 15:32:14.548682 : Epoch  6, Batch    911, Loss  0.887072, Average Loss  0.869229, Time  0.465770
2021-09-09 15:32:16.324619 : Epoch  6, Batch    912, Loss  0.833289, Average Loss  0.869048, Time  0.376035
2021-09-09 15:32:18.099421 : Epoch  6, Batch    913, Loss  0.826935, Average Loss  0.868962, Time  0.372817
2021-09-09 15:32:20.014840 : Epoch  6, Batch    914, Loss  0.858521, Average Loss  0.868923, Time  0.494542
2021-09-09 15:32:21.823824 : Epoch  6, Batch    915, Loss  0.886441, Average Loss  0.869035, Time  0.382765
2021-09-09 15:32:23.637924 : Epoch  6, Batch    916, Loss  0.893932, Average Loss  0.869013, Time  0.370770
2021-09-09 15:32:25.442671 : Epoch  6, Batch    917, Loss  0.883632, Average Loss  0.869157, Time  0.383588
2021-09-09 15:32:27.346133 : Epoch  6, Batch    918, Loss  0.864568, Average Loss  0.869289, Time  0.481068
2021-09-09 15:32:29.147971 : Epoch  6, Batch    919, Loss  0.878098, Average Loss  0.869346, Time  0.376809
2021-09-09 15:32:30.929817 : Epoch  6, Batch    920, Loss  0.855230, Average Loss  0.869275, Time  0.370394
2021-09-09 15:32:32.827764 : Epoch  6, Batch    921, Loss  0.853308, Average Loss  0.869124, Time  0.477377
2021-09-09 15:32:34.742842 : Epoch  6, Batch    922, Loss  0.865203, Average Loss  0.869074, Time  0.487175
2021-09-09 15:32:36.530779 : Epoch  6, Batch    923, Loss  0.902747, Average Loss  0.869280, Time  0.369935
2021-09-09 15:32:38.306211 : Epoch  6, Batch    924, Loss  0.884490, Average Loss  0.869264, Time  0.367802
2021-09-09 15:32:40.232784 : Epoch  6, Batch    925, Loss  0.865666, Average Loss  0.869326, Time  0.505185
2021-09-09 15:32:42.131845 : Epoch  6, Batch    926, Loss  0.886415, Average Loss  0.869425, Time  0.449039
2021-09-09 15:32:43.918717 : Epoch  6, Batch    927, Loss  0.851279, Average Loss  0.869297, Time  0.372747
2021-09-09 15:32:45.714902 : Epoch  6, Batch    928, Loss  0.880051, Average Loss  0.869404, Time  0.372405
2021-09-09 15:32:47.647492 : Epoch  6, Batch    929, Loss  0.889100, Average Loss  0.869463, Time  0.482065
2021-09-09 15:32:49.439020 : Epoch  6, Batch    930, Loss  0.854210, Average Loss  0.869445, Time  0.369907
2021-09-09 15:32:51.258777 : Epoch  6, Batch    931, Loss  0.860898, Average Loss  0.869478, Time  0.376572
2021-09-09 15:32:53.087256 : Epoch  6, Batch    932, Loss  0.875266, Average Loss  0.869459, Time  0.413165
2021-09-09 15:32:54.998870 : Epoch  6, Batch    933, Loss  0.887162, Average Loss  0.869678, Time  0.474305
2021-09-09 15:32:56.799259 : Epoch  6, Batch    934, Loss  0.866082, Average Loss  0.869861, Time  0.377362
2021-09-09 15:32:58.579768 : Epoch  6, Batch    935, Loss  0.906783, Average Loss  0.870114, Time  0.371567
2021-09-09 15:33:00.472696 : Epoch  6, Batch    936, Loss  0.859629, Average Loss  0.869969, Time  0.480283
2021-09-09 15:33:02.313788 : Epoch  6, Batch    937, Loss  0.893135, Average Loss  0.870049, Time  0.398662
2021-09-09 15:33:04.135261 : Epoch  6, Batch    938, Loss  0.853385, Average Loss  0.869935, Time  0.379718
2021-09-09 15:33:05.944776 : Epoch  6, Batch    939, Loss  0.856148, Average Loss  0.869878, Time  0.379157
2021-09-09 15:33:07.899081 : Epoch  6, Batch    940, Loss  0.860844, Average Loss  0.869886, Time  0.491784
2021-09-09 15:33:09.731786 : Epoch  6, Batch    941, Loss  0.856756, Average Loss  0.869927, Time  0.371636
2021-09-09 15:33:11.518837 : Epoch  6, Batch    942, Loss  0.889644, Average Loss  0.870073, Time  0.372978
2021-09-09 15:33:13.364244 : Epoch  6, Batch    943, Loss  0.875957, Average Loss  0.870101, Time  0.445627
2021-09-09 15:33:15.282899 : Epoch  6, Batch    944, Loss  0.882934, Average Loss  0.870231, Time  0.479749
2021-09-09 15:33:17.055567 : Epoch  6, Batch    945, Loss  0.857037, Average Loss  0.870203, Time  0.376642
2021-09-09 15:38:07.537414 : CheckPoint: Validation Loss  0.00062007, Best Loss  0.00056427
2021-09-09 15:38:09.337788 : Epoch  6, Batch    946, Loss  0.869241, Average Loss  0.870053, Time  0.370177
2021-09-09 15:38:11.180810 : Epoch  6, Batch    947, Loss  0.855081, Average Loss  0.869822, Time  0.379919
2021-09-09 15:38:13.082148 : Epoch  6, Batch    948, Loss  0.861439, Average Loss  0.869776, Time  0.468784
2021-09-09 15:38:14.894787 : Epoch  6, Batch    949, Loss  0.860416, Average Loss  0.869959, Time  0.372866
2021-09-09 15:38:16.699043 : Epoch  6, Batch    950, Loss  0.869063, Average Loss  0.869847, Time  0.368710
2021-09-09 15:38:18.612774 : Epoch  6, Batch    951, Loss  0.853951, Average Loss  0.869698, Time  0.472407
2021-09-09 15:38:20.484763 : Epoch  6, Batch    952, Loss  0.878114, Average Loss  0.869741, Time  0.448406
2021-09-09 15:38:22.303824 : Epoch  6, Batch    953, Loss  0.853528, Average Loss  0.869800, Time  0.373206
2021-09-09 15:38:24.147006 : Epoch  6, Batch    954, Loss  0.889523, Average Loss  0.869915, Time  0.370735
2021-09-09 15:38:26.054679 : Epoch  6, Batch    955, Loss  0.862079, Average Loss  0.869892, Time  0.476485
2021-09-09 15:38:27.926703 : Epoch  6, Batch    956, Loss  0.875835, Average Loss  0.869934, Time  0.455175
2021-09-09 15:38:29.748783 : Epoch  6, Batch    957, Loss  0.877337, Average Loss  0.869941, Time  0.374334
2021-09-09 15:38:31.530064 : Epoch  6, Batch    958, Loss  0.888194, Average Loss  0.869922, Time  0.364579
2021-09-09 15:38:33.435781 : Epoch  6, Batch    959, Loss  0.870470, Average Loss  0.869914, Time  0.495634
2021-09-09 15:38:35.245918 : Epoch  6, Batch    960, Loss  0.881679, Average Loss  0.869918, Time  0.376623
2021-09-09 15:38:37.047778 : Epoch  6, Batch    961, Loss  0.855920, Average Loss  0.869936, Time  0.370918
2021-09-09 15:38:38.942783 : Epoch  6, Batch    962, Loss  0.893904, Average Loss  0.869959, Time  0.449002
2021-09-09 15:38:40.872796 : Epoch  6, Batch    963, Loss  0.870984, Average Loss  0.869780, Time  0.468948
2021-09-09 15:38:42.704808 : Epoch  6, Batch    964, Loss  0.865042, Average Loss  0.869721, Time  0.378352
2021-09-09 15:38:44.487850 : Epoch  6, Batch    965, Loss  0.862154, Average Loss  0.869547, Time  0.369395
2021-09-09 15:38:46.389960 : Epoch  6, Batch    966, Loss  0.864013, Average Loss  0.869662, Time  0.481009
2021-09-09 15:38:48.317784 : Epoch  6, Batch    967, Loss  0.875088, Average Loss  0.869602, Time  0.477343
2021-09-09 15:38:50.156826 : Epoch  6, Batch    968, Loss  0.855570, Average Loss  0.869500, Time  0.397056
2021-09-09 15:38:51.978780 : Epoch  6, Batch    969, Loss  0.892402, Average Loss  0.869681, Time  0.381105
2021-09-09 15:38:53.841113 : Epoch  6, Batch    970, Loss  0.854430, Average Loss  0.869790, Time  0.452295
2021-09-09 15:38:55.750791 : Epoch  6, Batch    971, Loss  0.859795, Average Loss  0.869836, Time  0.476555
2021-09-09 15:38:57.573791 : Epoch  6, Batch    972, Loss  0.864674, Average Loss  0.869748, Time  0.381716
2021-09-09 15:38:59.392003 : Epoch  6, Batch    973, Loss  0.884164, Average Loss  0.869857, Time  0.366427
2021-09-09 15:39:01.294783 : Epoch  6, Batch    974, Loss  0.913124, Average Loss  0.870012, Time  0.464870
2021-09-09 15:39:03.183784 : Epoch  6, Batch    975, Loss  0.851590, Average Loss  0.870113, Time  0.469739
2021-09-09 15:39:04.957535 : Epoch  6, Batch    976, Loss  0.899222, Average Loss  0.870180, Time  0.367481
2021-09-09 15:39:06.729938 : Epoch  6, Batch    977, Loss  0.869598, Average Loss  0.870211, Time  0.361011
2021-09-09 15:39:08.661115 : Epoch  6, Batch    978, Loss  0.846338, Average Loss  0.870242, Time  0.471378
2021-09-09 15:39:10.477776 : Epoch  6, Batch    979, Loss  0.890873, Average Loss  0.870423, Time  0.386432
2021-09-09 15:39:12.264129 : Epoch  6, Batch    980, Loss  0.889005, Average Loss  0.870439, Time  0.364822
2021-09-09 15:39:14.167780 : Epoch  6, Batch    981, Loss  0.856953, Average Loss  0.870571, Time  0.452286
2021-09-09 15:39:16.119275 : Epoch  6, Batch    982, Loss  0.872701, Average Loss  0.870582, Time  0.501734
2021-09-09 15:39:17.926782 : Epoch  6, Batch    983, Loss  0.874452, Average Loss  0.870686, Time  0.396338
2021-09-09 15:39:19.704608 : Epoch  6, Batch    984, Loss  0.894737, Average Loss  0.870697, Time  0.376635
2021-09-09 15:39:21.605854 : Epoch  6, Batch    985, Loss  0.904340, Average Loss  0.870756, Time  0.456119
2021-09-09 15:39:23.499153 : Epoch  6, Batch    986, Loss  0.888002, Average Loss  0.870997, Time  0.468647
2021-09-09 15:39:25.285782 : Epoch  6, Batch    987, Loss  0.847280, Average Loss  0.871054, Time  0.378752
2021-09-09 15:39:27.099766 : Epoch  6, Batch    988, Loss  0.886137, Average Loss  0.871178, Time  0.368595
2021-09-09 15:39:29.015820 : Epoch  6, Batch    989, Loss  0.887674, Average Loss  0.871250, Time  0.478424
2021-09-09 15:39:30.940784 : Epoch  6, Batch    990, Loss  0.876924, Average Loss  0.871426, Time  0.454926
2021-09-09 15:39:32.722121 : Epoch  6, Batch    991, Loss  0.861080, Average Loss  0.871397, Time  0.369372
2021-09-09 15:39:34.527783 : Epoch  6, Batch    992, Loss  0.872725, Average Loss  0.871292, Time  0.376473
2021-09-09 15:39:36.422695 : Epoch  6, Batch    993, Loss  0.873701, Average Loss  0.871371, Time  0.487888
2021-09-09 15:39:38.295783 : Epoch  6, Batch    994, Loss  0.865145, Average Loss  0.871419, Time  0.436907
2021-09-09 15:39:40.087766 : Epoch  6, Batch    995, Loss  0.885110, Average Loss  0.871532, Time  0.371785
2021-09-09 15:39:41.881128 : Epoch  6, Batch    996, Loss  0.838952, Average Loss  0.871248, Time  0.374796
2021-09-09 15:39:43.775777 : Epoch  6, Batch    997, Loss  0.834070, Average Loss  0.871068, Time  0.478763
2021-09-09 15:39:45.594068 : Epoch  6, Batch    998, Loss  0.875323, Average Loss  0.871052, Time  0.376915
2021-09-09 15:39:47.422787 : Epoch  6, Batch    999, Loss  0.895440, Average Loss  0.871384, Time  0.383222
2021-09-09 15:39:49.333811 : Epoch  6, Batch   1000, Loss  0.901286, Average Loss  0.871500, Time  0.435582
2021-09-09 15:39:51.205780 : Epoch  6, Batch   1001, Loss  0.873768, Average Loss  0.871575, Time  0.478103
2021-09-09 15:39:53.023136 : Epoch  6, Batch   1002, Loss  0.858898, Average Loss  0.871593, Time  0.382096
2021-09-09 15:39:54.846782 : Epoch  6, Batch   1003, Loss  0.876198, Average Loss  0.871559, Time  0.376031
2021-09-09 15:39:56.736738 : Epoch  6, Batch   1004, Loss  0.885546, Average Loss  0.871527, Time  0.477855
2021-09-09 15:39:58.597780 : Epoch  6, Batch   1005, Loss  0.902080, Average Loss  0.871598, Time  0.426685
2021-09-09 15:40:00.419831 : Epoch  6, Batch   1006, Loss  0.870320, Average Loss  0.871487, Time  0.371543
2021-09-09 15:40:02.230781 : Epoch  6, Batch   1007, Loss  0.837954, Average Loss  0.871334, Time  0.371483
2021-09-09 15:40:04.164982 : Epoch  6, Batch   1008, Loss  0.902591, Average Loss  0.871557, Time  0.486962
2021-09-09 15:40:05.989791 : Epoch  6, Batch   1009, Loss  0.853404, Average Loss  0.871457, Time  0.376671
2021-09-09 15:40:07.788777 : Epoch  6, Batch   1010, Loss  0.859862, Average Loss  0.871403, Time  0.373794
2021-09-09 15:40:09.641142 : Epoch  6, Batch   1011, Loss  0.882042, Average Loss  0.871404, Time  0.380749
2021-09-09 15:40:11.567136 : Epoch  6, Batch   1012, Loss  0.865429, Average Loss  0.871325, Time  0.486536
2021-09-09 15:40:13.357144 : Epoch  6, Batch   1013, Loss  0.873272, Average Loss  0.871424, Time  0.386050
2021-09-09 15:40:15.133765 : Epoch  6, Batch   1014, Loss  0.866234, Average Loss  0.871457, Time  0.372038
2021-09-09 15:40:17.047126 : Epoch  6, Batch   1015, Loss  0.854633, Average Loss  0.871253, Time  0.451073
2021-09-09 15:40:18.970788 : Epoch  6, Batch   1016, Loss  0.852017, Average Loss  0.871070, Time  0.470669
2021-09-09 15:40:20.791263 : Epoch  6, Batch   1017, Loss  0.867224, Average Loss  0.871280, Time  0.381292
2021-09-09 15:40:22.582129 : Epoch  6, Batch   1018, Loss  0.844638, Average Loss  0.871078, Time  0.375680
2021-09-09 15:40:24.474116 : Epoch  6, Batch   1019, Loss  0.865130, Average Loss  0.871052, Time  0.465880
2021-09-09 15:40:26.333927 : Epoch  6, Batch   1020, Loss  0.845485, Average Loss  0.870854, Time  0.446520
2021-09-09 15:40:28.142143 : Epoch  6, Batch   1021, Loss  0.891188, Average Loss  0.870942, Time  0.391337
2021-09-09 15:40:29.907781 : Epoch  6, Batch   1022, Loss  0.863562, Average Loss  0.870900, Time  0.368285
2021-09-09 15:40:31.858797 : Epoch  6, Batch   1023, Loss  0.882887, Average Loss  0.870951, Time  0.497188
2021-09-09 15:40:33.666780 : Epoch  6, Batch   1024, Loss  0.887780, Average Loss  0.870986, Time  0.373426
2021-09-09 15:40:35.480787 : Epoch  6, Batch   1025, Loss  0.862798, Average Loss  0.870918, Time  0.371570
2021-09-09 15:40:37.346123 : Epoch  6, Batch   1026, Loss  0.874862, Average Loss  0.870892, Time  0.424534
2021-09-09 15:40:39.230096 : Epoch  6, Batch   1027, Loss  0.853683, Average Loss  0.870873, Time  0.474998
2021-09-09 15:40:41.045785 : Epoch  6, Batch   1028, Loss  0.880804, Average Loss  0.870927, Time  0.368770
2021-09-09 15:40:42.852116 : Epoch  6, Batch   1029, Loss  0.860292, Average Loss  0.870781, Time  0.381828
2021-09-09 15:40:44.774765 : Epoch  6, Batch   1030, Loss  0.845791, Average Loss  0.870616, Time  0.458241
2021-09-09 15:40:46.700782 : Epoch  6, Batch   1031, Loss  0.871419, Average Loss  0.870553, Time  0.482077
2021-09-09 15:40:48.532118 : Epoch  6, Batch   1032, Loss  0.882994, Average Loss  0.870554, Time  0.378959
2021-09-09 15:40:50.339782 : Epoch  6, Batch   1033, Loss  0.845629, Average Loss  0.870264, Time  0.365841
2021-09-09 15:40:52.254602 : Epoch  6, Batch   1034, Loss  0.895482, Average Loss  0.870388, Time  0.462284
2021-09-09 15:40:54.143791 : Epoch  6, Batch   1035, Loss  0.844596, Average Loss  0.870239, Time  0.475970
2021-09-09 15:40:55.951470 : Epoch  6, Batch   1036, Loss  0.847714, Average Loss  0.869997, Time  0.381914
2021-09-09 15:40:57.719881 : Epoch  6, Batch   1037, Loss  0.853522, Average Loss  0.870001, Time  0.369067
2021-09-09 15:40:59.617781 : Epoch  6, Batch   1038, Loss  0.881131, Average Loss  0.870003, Time  0.479709
2021-09-09 15:41:01.446891 : Epoch  6, Batch   1039, Loss  0.879435, Average Loss  0.869992, Time  0.395229
2021-09-09 15:41:03.248783 : Epoch  6, Batch   1040, Loss  0.867565, Average Loss  0.870127, Time  0.372859
2021-09-09 15:41:05.056610 : Epoch  6, Batch   1041, Loss  0.857499, Average Loss  0.870014, Time  0.389302
2021-09-09 15:41:06.939118 : Epoch  6, Batch   1042, Loss  0.858415, Average Loss  0.869910, Time  0.473549
2021-09-09 15:41:08.745789 : Epoch  6, Batch   1043, Loss  0.849668, Average Loss  0.869776, Time  0.385842
2021-09-09 15:41:10.577847 : Epoch  6, Batch   1044, Loss  0.871927, Average Loss  0.869770, Time  0.368814
2021-09-09 15:41:12.468787 : Epoch  6, Batch   1045, Loss  0.866761, Average Loss  0.869608, Time  0.430781
2021-09-09 15:46:03.693504 : CheckPoint: Validation Loss  0.00062883, Best Loss  0.00056427
2021-09-09 15:46:05.502258 : Epoch  6, Batch   1046, Loss  0.874111, Average Loss  0.869627, Time  0.371177
2021-09-09 15:46:07.300777 : Epoch  6, Batch   1047, Loss  0.869822, Average Loss  0.869693, Time  0.371687
2021-09-09 15:46:09.196872 : Epoch  6, Batch   1048, Loss  0.868132, Average Loss  0.869710, Time  0.464920
2021-09-09 15:46:11.017160 : Epoch  6, Batch   1049, Loss  0.872599, Average Loss  0.869691, Time  0.384346
2021-09-09 15:46:12.833083 : Epoch  6, Batch   1050, Loss  0.854407, Average Loss  0.869580, Time  0.381133
2021-09-09 15:46:14.762783 : Epoch  6, Batch   1051, Loss  0.904237, Average Loss  0.869771, Time  0.475664
2021-09-09 15:46:16.602121 : Epoch  6, Batch   1052, Loss  0.829131, Average Loss  0.869613, Time  0.390149
2021-09-09 15:46:18.386784 : Epoch  6, Batch   1053, Loss  0.859121, Average Loss  0.869522, Time  0.376970
2021-09-09 15:46:20.243968 : Epoch  6, Batch   1054, Loss  0.880551, Average Loss  0.869515, Time  0.439754
2021-09-09 15:46:22.139126 : Epoch  6, Batch   1055, Loss  0.865786, Average Loss  0.869498, Time  0.462263
2021-09-09 15:46:23.935978 : Epoch  6, Batch   1056, Loss  0.851999, Average Loss  0.869537, Time  0.373504
2021-09-09 15:46:25.694626 : Epoch  6, Batch   1057, Loss  0.872309, Average Loss  0.869571, Time  0.368054
2021-09-09 15:46:27.593827 : Epoch  6, Batch   1058, Loss  0.847752, Average Loss  0.869354, Time  0.487815
2021-09-09 15:46:29.392786 : Epoch  6, Batch   1059, Loss  0.854122, Average Loss  0.869251, Time  0.372993
2021-09-09 15:46:31.227776 : Epoch  6, Batch   1060, Loss  0.856660, Average Loss  0.869251, Time  0.367833
2021-09-09 15:46:33.125128 : Epoch  6, Batch   1061, Loss  0.861141, Average Loss  0.869344, Time  0.451785
2021-09-09 15:46:35.036765 : Epoch  6, Batch   1062, Loss  0.856808, Average Loss  0.869223, Time  0.488265
2021-09-09 15:46:36.863970 : Epoch  6, Batch   1063, Loss  0.864211, Average Loss  0.869245, Time  0.390198
2021-09-09 15:46:38.689767 : Epoch  6, Batch   1064, Loss  0.884027, Average Loss  0.869215, Time  0.393209
2021-09-09 15:46:40.604162 : Epoch  6, Batch   1065, Loss  0.860140, Average Loss  0.869301, Time  0.467652
2021-09-09 15:46:42.460790 : Epoch  6, Batch   1066, Loss  0.864162, Average Loss  0.869442, Time  0.441528
2021-09-09 15:46:44.268767 : Epoch  6, Batch   1067, Loss  0.881360, Average Loss  0.869543, Time  0.370821
2021-09-09 15:46:46.090764 : Epoch  6, Batch   1068, Loss  0.863540, Average Loss  0.869347, Time  0.381561
2021-09-09 15:46:48.030265 : Epoch  6, Batch   1069, Loss  0.847128, Average Loss  0.869372, Time  0.491482
2021-09-09 15:46:49.865775 : Epoch  6, Batch   1070, Loss  0.866976, Average Loss  0.869380, Time  0.373328
2021-09-09 15:46:51.665314 : Epoch  6, Batch   1071, Loss  0.858777, Average Loss  0.869334, Time  0.366504
2021-09-09 15:46:53.557531 : Epoch  6, Batch   1072, Loss  0.879500, Average Loss  0.869392, Time  0.463356
2021-09-09 15:46:55.400109 : Epoch  6, Batch   1073, Loss  0.855844, Average Loss  0.869245, Time  0.444044
2021-09-09 15:46:57.184765 : Epoch  6, Batch   1074, Loss  0.877096, Average Loss  0.869324, Time  0.380194
2021-09-09 15:46:58.981234 : Epoch  6, Batch   1075, Loss  0.846063, Average Loss  0.869281, Time  0.387895
2021-09-09 15:47:00.873779 : Epoch  6, Batch   1076, Loss  0.861616, Average Loss  0.869094, Time  0.485398
2021-09-09 15:47:02.691780 : Epoch  6, Batch   1077, Loss  0.827279, Average Loss  0.868841, Time  0.382938
2021-09-09 15:47:04.542763 : Epoch  6, Batch   1078, Loss  0.913222, Average Loss  0.869225, Time  0.366626
2021-09-09 15:47:06.424786 : Epoch  6, Batch   1079, Loss  0.851363, Average Loss  0.869149, Time  0.447738
2021-09-09 15:47:08.318864 : Epoch  6, Batch   1080, Loss  0.878736, Average Loss  0.869232, Time  0.458907
2021-09-09 15:47:10.099565 : Epoch  6, Batch   1081, Loss  0.861344, Average Loss  0.869156, Time  0.373843
2021-09-09 15:47:11.899295 : Epoch  6, Batch   1082, Loss  0.882729, Average Loss  0.869188, Time  0.377512
2021-09-09 15:47:13.804266 : Epoch  6, Batch   1083, Loss  0.882214, Average Loss  0.869057, Time  0.476955
2021-09-09 15:47:15.608784 : Epoch  6, Batch   1084, Loss  0.848854, Average Loss  0.868799, Time  0.363231
2021-09-09 15:47:17.408331 : Epoch  6, Batch   1085, Loss  0.879460, Average Loss  0.869091, Time  0.369647
2021-09-09 15:47:19.241620 : Epoch  6, Batch   1086, Loss  0.844243, Average Loss  0.868923, Time  0.421927
2021-09-09 15:47:21.112779 : Epoch  6, Batch   1087, Loss  0.873287, Average Loss  0.868927, Time  0.461982
2021-09-09 15:47:22.939126 : Epoch  6, Batch   1088, Loss  0.867893, Average Loss  0.868874, Time  0.387111
2021-09-09 15:47:24.748144 : Epoch  6, Batch   1089, Loss  0.861023, Average Loss  0.868818, Time  0.374156
2021-09-09 15:47:26.654259 : Epoch  6, Batch   1090, Loss  0.857703, Average Loss  0.868735, Time  0.475201
2021-09-09 15:47:28.420885 : Epoch  6, Batch   1091, Loss  0.849990, Average Loss  0.868702, Time  0.354592
2021-09-09 15:47:30.213236 : Epoch  6, Batch   1092, Loss  0.849162, Average Loss  0.868584, Time  0.369641
2021-09-09 15:47:32.033014 : Epoch  6, Batch   1093, Loss  0.877071, Average Loss  0.868787, Time  0.398140
2021-09-09 15:47:33.935957 : Epoch  6, Batch   1094, Loss  0.867381, Average Loss  0.868773, Time  0.480701
2021-09-09 15:47:35.737245 : Epoch  6, Batch   1095, Loss  0.868237, Average Loss  0.868737, Time  0.373299
2021-09-09 15:47:37.561124 : Epoch  6, Batch   1096, Loss  0.857497, Average Loss  0.868781, Time  0.381506
2021-09-09 15:47:39.468783 : Epoch  6, Batch   1097, Loss  0.866530, Average Loss  0.868671, Time  0.472974
2021-09-09 15:47:41.394799 : Epoch  6, Batch   1098, Loss  0.845423, Average Loss  0.868665, Time  0.460936
2021-09-09 15:47:43.225783 : Epoch  6, Batch   1099, Loss  0.861270, Average Loss  0.868540, Time  0.387665
2021-09-09 15:47:45.046252 : Epoch  6, Batch   1100, Loss  0.858424, Average Loss  0.868412, Time  0.369577
2021-09-09 15:47:46.945768 : Epoch  6, Batch   1101, Loss  0.872524, Average Loss  0.868429, Time  0.474181
2021-09-09 15:47:48.835957 : Epoch  6, Batch   1102, Loss  0.860094, Average Loss  0.868463, Time  0.440874
2021-09-09 15:47:50.610767 : Epoch  6, Batch   1103, Loss  0.849613, Average Loss  0.868241, Time  0.367367
2021-09-09 15:47:52.449895 : Epoch  6, Batch   1104, Loss  0.897449, Average Loss  0.868382, Time  0.383693
2021-09-09 15:47:54.353864 : Epoch  6, Batch   1105, Loss  0.894336, Average Loss  0.868620, Time  0.484080
2021-09-09 15:47:56.151862 : Epoch  6, Batch   1106, Loss  0.871099, Average Loss  0.868611, Time  0.372052
2021-09-09 15:47:57.948839 : Epoch  6, Batch   1107, Loss  0.860929, Average Loss  0.868669, Time  0.374943
2021-09-09 15:47:59.848961 : Epoch  6, Batch   1108, Loss  0.886160, Average Loss  0.868788, Time  0.474362
2021-09-09 15:48:01.768171 : Epoch  6, Batch   1109, Loss  0.876500, Average Loss  0.868657, Time  0.461150
2021-09-09 15:48:03.621789 : Epoch  6, Batch   1110, Loss  0.857491, Average Loss  0.868688, Time  0.391221
2021-09-09 15:48:05.452974 : Epoch  6, Batch   1111, Loss  0.867745, Average Loss  0.868591, Time  0.370963
2021-09-09 15:48:07.397770 : Epoch  6, Batch   1112, Loss  0.850359, Average Loss  0.868676, Time  0.481123
2021-09-09 15:48:09.213923 : Epoch  6, Batch   1113, Loss  0.871090, Average Loss  0.868897, Time  0.392281
2021-09-09 15:48:11.038904 : Epoch  6, Batch   1114, Loss  0.857867, Average Loss  0.868894, Time  0.370352
2021-09-09 15:48:12.832780 : Epoch  6, Batch   1115, Loss  0.841278, Average Loss  0.868668, Time  0.385797
2021-09-09 15:48:14.691779 : Epoch  6, Batch   1116, Loss  0.868341, Average Loss  0.868540, Time  0.459837
2021-09-09 15:48:16.503669 : Epoch  6, Batch   1117, Loss  0.864315, Average Loss  0.868443, Time  0.378779
2021-09-09 15:48:18.293783 : Epoch  6, Batch   1118, Loss  0.867593, Average Loss  0.868459, Time  0.368466
2021-09-09 15:48:20.224782 : Epoch  6, Batch   1119, Loss  0.895981, Average Loss  0.868548, Time  0.490065
2021-09-09 15:48:22.105772 : Epoch  6, Batch   1120, Loss  0.881820, Average Loss  0.868681, Time  0.437994
2021-09-09 15:48:23.893589 : Epoch  6, Batch   1121, Loss  0.854760, Average Loss  0.868688, Time  0.375471
2021-09-09 15:48:25.692244 : Epoch  6, Batch   1122, Loss  0.845479, Average Loss  0.868590, Time  0.375023
2021-09-09 15:48:27.579132 : Epoch  6, Batch   1123, Loss  0.859509, Average Loss  0.868373, Time  0.474900
2021-09-09 15:48:29.412777 : Epoch  6, Batch   1124, Loss  0.894388, Average Loss  0.868423, Time  0.379313
2021-09-09 15:48:31.203780 : Epoch  6, Batch   1125, Loss  0.874422, Average Loss  0.868467, Time  0.370539
2021-09-09 15:48:33.055770 : Epoch  6, Batch   1126, Loss  0.844802, Average Loss  0.868259, Time  0.424495
2021-09-09 15:48:34.959781 : Epoch  6, Batch   1127, Loss  0.900703, Average Loss  0.868506, Time  0.465782
2021-09-09 15:48:36.813769 : Epoch  6, Batch   1128, Loss  0.850836, Average Loss  0.868360, Time  0.397134
2021-09-09 15:48:38.611121 : Epoch  6, Batch   1129, Loss  0.874851, Average Loss  0.868288, Time  0.367155
2021-09-09 15:48:40.512781 : Epoch  6, Batch   1130, Loss  0.843957, Average Loss  0.868237, Time  0.464707
2021-09-09 15:48:42.444124 : Epoch  6, Batch   1131, Loss  0.885906, Average Loss  0.868362, Time  0.459013
2021-09-09 15:48:44.270913 : Epoch  6, Batch   1132, Loss  0.879785, Average Loss  0.868385, Time  0.375156
2021-09-09 15:48:46.062120 : Epoch  6, Batch   1133, Loss  0.870591, Average Loss  0.868302, Time  0.371921
2021-09-09 15:48:47.988783 : Epoch  6, Batch   1134, Loss  0.873483, Average Loss  0.868339, Time  0.481962
2021-09-09 15:48:49.901778 : Epoch  6, Batch   1135, Loss  0.860450, Average Loss  0.868107, Time  0.459025
2021-09-09 15:48:51.721783 : Epoch  6, Batch   1136, Loss  0.850717, Average Loss  0.868063, Time  0.377960
2021-09-09 15:48:53.516760 : Epoch  6, Batch   1137, Loss  0.873055, Average Loss  0.867962, Time  0.367014
2021-09-09 15:48:55.410103 : Epoch  6, Batch   1138, Loss  0.874037, Average Loss  0.868065, Time  0.467239
2021-09-09 15:48:57.287131 : Epoch  6, Batch   1139, Loss  0.863477, Average Loss  0.868102, Time  0.467370
2021-09-09 15:48:59.107523 : Epoch  6, Batch   1140, Loss  0.878203, Average Loss  0.868189, Time  0.373714
2021-09-09 15:49:00.928766 : Epoch  6, Batch   1141, Loss  0.889260, Average Loss  0.868351, Time  0.368895
2021-09-09 15:49:02.853953 : Epoch  6, Batch   1142, Loss  0.842471, Average Loss  0.868116, Time  0.467883
2021-09-09 15:49:04.715771 : Epoch  6, Batch   1143, Loss  0.869622, Average Loss  0.868084, Time  0.425210
2021-09-09 15:49:06.526905 : Epoch  6, Batch   1144, Loss  0.868509, Average Loss  0.868012, Time  0.374132
2021-09-09 15:49:08.320567 : Epoch  6, Batch   1145, Loss  0.912527, Average Loss  0.868289, Time  0.371629
2021-09-09 15:53:58.946726 : CheckPoint: Validation Loss  0.00063104, Best Loss  0.00056427
2021-09-09 15:54:00.743784 : Epoch  6, Batch   1146, Loss  0.860200, Average Loss  0.868244, Time  0.368020
2021-09-09 15:54:02.610783 : Epoch  6, Batch   1147, Loss  0.887450, Average Loss  0.868406, Time  0.440664
2021-09-09 15:54:04.504507 : Epoch  6, Batch   1148, Loss  0.879625, Average Loss  0.868497, Time  0.466898
2021-09-09 15:54:06.300783 : Epoch  6, Batch   1149, Loss  0.851353, Average Loss  0.868451, Time  0.377024
2021-09-09 15:54:08.092766 : Epoch  6, Batch   1150, Loss  0.866313, Average Loss  0.868438, Time  0.370600
2021-09-09 15:54:09.999615 : Epoch  6, Batch   1151, Loss  0.907452, Average Loss  0.868705, Time  0.478098
2021-09-09 15:54:11.831768 : Epoch  6, Batch   1152, Loss  0.861789, Average Loss  0.868624, Time  0.425570
2021-09-09 15:54:13.647780 : Epoch  6, Batch   1153, Loss  0.870517, Average Loss  0.868709, Time  0.379956
2021-09-09 15:54:15.471364 : Epoch  6, Batch   1154, Loss  0.876091, Average Loss  0.868641, Time  0.384433
2021-09-09 15:54:17.375446 : Epoch  6, Batch   1155, Loss  0.882409, Average Loss  0.868743, Time  0.470678
2021-09-09 15:54:19.171852 : Epoch  6, Batch   1156, Loss  0.902921, Average Loss  0.868878, Time  0.370137
2021-09-09 15:54:20.970131 : Epoch  6, Batch   1157, Loss  0.876295, Average Loss  0.868873, Time  0.377346
2021-09-09 15:54:22.855774 : Epoch  6, Batch   1158, Loss  0.865068, Average Loss  0.868758, Time  0.405996
2021-09-09 15:54:24.743782 : Epoch  6, Batch   1159, Loss  0.890000, Average Loss  0.868855, Time  0.468044
2021-09-09 15:54:26.542682 : Epoch  6, Batch   1160, Loss  0.878278, Average Loss  0.868838, Time  0.374655
2021-09-09 15:54:28.408135 : Epoch  6, Batch   1161, Loss  0.828731, Average Loss  0.868702, Time  0.392397
2021-09-09 15:54:30.313780 : Epoch  6, Batch   1162, Loss  0.885090, Average Loss  0.868658, Time  0.485329
2021-09-09 15:54:32.240230 : Epoch  6, Batch   1163, Loss  0.884922, Average Loss  0.868728, Time  0.490795
2021-09-09 15:54:34.030775 : Epoch  6, Batch   1164, Loss  0.869458, Average Loss  0.868750, Time  0.372608
2021-09-09 15:54:35.825778 : Epoch  6, Batch   1165, Loss  0.874136, Average Loss  0.868810, Time  0.366529
2021-09-09 15:54:37.727430 : Epoch  6, Batch   1166, Loss  0.878844, Average Loss  0.868884, Time  0.474292
2021-09-09 15:54:39.540768 : Epoch  6, Batch   1167, Loss  0.873933, Average Loss  0.868878, Time  0.379200
2021-09-09 15:54:41.345799 : Epoch  6, Batch   1168, Loss  0.876118, Average Loss  0.868981, Time  0.373299
2021-09-09 15:54:43.168436 : Epoch  6, Batch   1169, Loss  0.900408, Average Loss  0.869021, Time  0.403934
2021-09-09 15:54:45.078782 : Epoch  6, Batch   1170, Loss  0.895193, Average Loss  0.869225, Time  0.469352
2021-09-09 15:54:46.879768 : Epoch  6, Batch   1171, Loss  0.878192, Average Loss  0.869317, Time  0.371332
2021-09-09 15:54:48.696244 : Epoch  6, Batch   1172, Loss  0.881343, Average Loss  0.869400, Time  0.380125
2021-09-09 15:54:50.571781 : Epoch  6, Batch   1173, Loss  0.874178, Average Loss  0.869350, Time  0.476784
2021-09-09 15:54:52.433775 : Epoch  6, Batch   1174, Loss  0.844200, Average Loss  0.869006, Time  0.455883
2021-09-09 15:54:54.232778 : Epoch  6, Batch   1175, Loss  0.865414, Average Loss  0.869075, Time  0.372873
2021-09-09 15:54:56.057783 : Epoch  6, Batch   1176, Loss  0.851229, Average Loss  0.868835, Time  0.389857
2021-09-09 15:54:57.987767 : Epoch  6, Batch   1177, Loss  0.883867, Average Loss  0.868906, Time  0.477551
2021-09-09 15:54:59.878946 : Epoch  6, Batch   1178, Loss  0.866264, Average Loss  0.869006, Time  0.401809
2021-09-09 15:55:01.678722 : Epoch  6, Batch   1179, Loss  0.871358, Average Loss  0.868908, Time  0.372451
2021-09-09 15:55:03.490018 : Epoch  6, Batch   1180, Loss  0.879003, Average Loss  0.868858, Time  0.377523
2021-09-09 15:55:05.416824 : Epoch  6, Batch   1181, Loss  0.866388, Average Loss  0.868905, Time  0.480839
2021-09-09 15:55:07.247905 : Epoch  6, Batch   1182, Loss  0.849299, Average Loss  0.868788, Time  0.373706
2021-09-09 15:55:09.071785 : Epoch  6, Batch   1183, Loss  0.866334, Average Loss  0.868748, Time  0.374596
2021-09-09 15:55:10.937319 : Epoch  6, Batch   1184, Loss  0.872609, Average Loss  0.868637, Time  0.434513
2021-09-09 15:55:12.822196 : Epoch  6, Batch   1185, Loss  0.868216, Average Loss  0.868457, Time  0.474501
2021-09-09 15:55:14.625765 : Epoch  6, Batch   1186, Loss  0.871771, Average Loss  0.868375, Time  0.372538
2021-09-09 15:55:16.451129 : Epoch  6, Batch   1187, Loss  0.849263, Average Loss  0.868385, Time  0.385015
2021-09-09 15:55:18.372909 : Epoch  6, Batch   1188, Loss  0.899070, Average Loss  0.868450, Time  0.496685
2021-09-09 15:55:20.278805 : Epoch  6, Batch   1189, Loss  0.883268, Average Loss  0.868428, Time  0.475002
2021-09-09 15:55:22.084791 : Epoch  6, Batch   1190, Loss  0.850186, Average Loss  0.868294, Time  0.384374
2021-09-09 15:55:23.885617 : Epoch  6, Batch   1191, Loss  0.856732, Average Loss  0.868273, Time  0.369102
2021-09-09 15:55:25.785412 : Epoch  6, Batch   1192, Loss  0.879830, Average Loss  0.868308, Time  0.488365
2021-09-09 15:55:27.657779 : Epoch  6, Batch   1193, Loss  0.854242, Average Loss  0.868211, Time  0.463814
2021-09-09 15:55:29.446779 : Epoch  6, Batch   1194, Loss  0.868696, Average Loss  0.868229, Time  0.371053
2021-09-09 15:55:31.276129 : Epoch  6, Batch   1195, Loss  0.892917, Average Loss  0.868268, Time  0.388392
2021-09-09 15:55:33.169647 : Epoch  6, Batch   1196, Loss  0.874478, Average Loss  0.868445, Time  0.464015
2021-09-09 15:55:35.052782 : Epoch  6, Batch   1197, Loss  0.855475, Average Loss  0.868552, Time  0.450191
2021-09-09 15:55:36.859779 : Epoch  6, Batch   1198, Loss  0.852083, Average Loss  0.868436, Time  0.374174
2021-09-09 15:55:38.650489 : Epoch  6, Batch   1199, Loss  0.835191, Average Loss  0.868135, Time  0.372157
2021-09-09 15:55:40.614167 : Epoch  6, Batch   1200, Loss  0.888378, Average Loss  0.868070, Time  0.501722
2021-09-09 15:55:42.497128 : Epoch  6, Batch   1201, Loss  0.865646, Average Loss  0.868030, Time  0.430332
2021-09-09 15:55:44.330778 : Epoch  6, Batch   1202, Loss  0.881871, Average Loss  0.868144, Time  0.391813
2021-09-09 15:55:46.106114 : Epoch  6, Batch   1203, Loss  0.861885, Average Loss  0.868073, Time  0.367466
2021-09-09 15:55:48.015780 : Epoch  6, Batch   1204, Loss  0.850685, Average Loss  0.867899, Time  0.482664
2021-09-09 15:55:49.880271 : Epoch  6, Batch   1205, Loss  0.859559, Average Loss  0.867686, Time  0.440101
2021-09-09 15:55:51.682781 : Epoch  6, Batch   1206, Loss  0.880229, Average Loss  0.867736, Time  0.372023
2021-09-09 15:55:53.490781 : Epoch  6, Batch   1207, Loss  0.856577, Average Loss  0.867829, Time  0.370866
2021-09-09 15:55:55.389965 : Epoch  6, Batch   1208, Loss  0.876399, Average Loss  0.867698, Time  0.485999
2021-09-09 15:55:57.175140 : Epoch  6, Batch   1209, Loss  0.861224, Average Loss  0.867737, Time  0.373106
2021-09-09 15:55:59.002878 : Epoch  6, Batch   1210, Loss  0.853905, Average Loss  0.867707, Time  0.390764
2021-09-09 15:56:00.878773 : Epoch  6, Batch   1211, Loss  0.875244, Average Loss  0.867673, Time  0.403527
2021-09-09 15:56:02.799785 : Epoch  6, Batch   1212, Loss  0.856173, Average Loss  0.867627, Time  0.474279
2021-09-09 15:56:04.626128 : Epoch  6, Batch   1213, Loss  0.865117, Average Loss  0.867586, Time  0.374518
2021-09-09 15:56:06.436404 : Epoch  6, Batch   1214, Loss  0.880413, Average Loss  0.867657, Time  0.376897
2021-09-09 15:56:08.342784 : Epoch  6, Batch   1215, Loss  0.858060, Average Loss  0.867674, Time  0.454687
2021-09-09 15:56:10.249791 : Epoch  6, Batch   1216, Loss  0.871051, Average Loss  0.867769, Time  0.471916
2021-09-09 15:56:12.075778 : Epoch  6, Batch   1217, Loss  0.866322, Average Loss  0.867765, Time  0.382003
2021-09-09 15:56:13.907854 : Epoch  6, Batch   1218, Loss  0.849907, Average Loss  0.867791, Time  0.392919
2021-09-09 15:56:15.804790 : Epoch  6, Batch   1219, Loss  0.857169, Average Loss  0.867751, Time  0.467489
2021-09-09 15:56:17.727821 : Epoch  6, Batch   1220, Loss  0.861385, Average Loss  0.867831, Time  0.486705
2021-09-09 15:56:19.528772 : Epoch  6, Batch   1221, Loss  0.898315, Average Loss  0.867866, Time  0.370585
2021-09-09 15:56:21.311854 : Epoch  6, Batch   1222, Loss  0.831883, Average Loss  0.867708, Time  0.374503
2021-09-09 15:56:23.221810 : Epoch  6, Batch   1223, Loss  0.860332, Average Loss  0.867595, Time  0.480245
2021-09-09 15:56:25.178783 : Epoch  6, Batch   1224, Loss  0.882045, Average Loss  0.867567, Time  0.481330
2021-09-09 15:56:27.014767 : Epoch  6, Batch   1225, Loss  0.870271, Average Loss  0.867604, Time  0.372114
2021-09-09 15:56:28.805781 : Epoch  6, Batch   1226, Loss  0.866260, Average Loss  0.867561, Time  0.379194
2021-09-09 15:56:30.690783 : Epoch  6, Batch   1227, Loss  0.871414, Average Loss  0.867650, Time  0.453479
2021-09-09 15:56:32.610768 : Epoch  6, Batch   1228, Loss  0.880316, Average Loss  0.867647, Time  0.490964
2021-09-09 15:56:34.406780 : Epoch  6, Batch   1229, Loss  0.886746, Average Loss  0.867779, Time  0.371098
2021-09-09 15:56:36.244775 : Epoch  6, Batch   1230, Loss  0.874073, Average Loss  0.867921, Time  0.390650
2021-09-09 15:56:38.155568 : Epoch  6, Batch   1231, Loss  0.843136, Average Loss  0.867779, Time  0.487115
2021-09-09 15:56:40.052253 : Epoch  6, Batch   1232, Loss  0.884624, Average Loss  0.867787, Time  0.482510
2021-09-09 15:56:41.841797 : Epoch  6, Batch   1233, Loss  0.852849, Average Loss  0.867824, Time  0.370222
2021-09-09 15:56:43.653771 : Epoch  6, Batch   1234, Loss  0.886908, Average Loss  0.867781, Time  0.370486
2021-09-09 15:56:45.541134 : Epoch  6, Batch   1235, Loss  0.884897, Average Loss  0.867982, Time  0.476587
2021-09-09 15:56:47.340787 : Epoch  6, Batch   1236, Loss  0.857844, Average Loss  0.868033, Time  0.375001
2021-09-09 15:56:49.161800 : Epoch  6, Batch   1237, Loss  0.868435, Average Loss  0.868107, Time  0.378889
2021-09-09 15:56:51.020783 : Epoch  6, Batch   1238, Loss  0.828965, Average Loss  0.867847, Time  0.438001
2021-09-09 15:56:52.918770 : Epoch  6, Batch   1239, Loss  0.852922, Average Loss  0.867714, Time  0.487052
2021-09-09 15:56:54.756125 : Epoch  6, Batch   1240, Loss  0.875331, Average Loss  0.867753, Time  0.374078
2021-09-09 15:56:56.566780 : Epoch  6, Batch   1241, Loss  0.891693, Average Loss  0.867924, Time  0.373144
2021-09-09 15:56:58.455123 : Epoch  6, Batch   1242, Loss  0.858900, Average Loss  0.867926, Time  0.443560
2021-09-09 15:57:00.352831 : Epoch  6, Batch   1243, Loss  0.881908, Average Loss  0.868087, Time  0.464533
2021-09-09 15:57:02.205262 : Epoch  6, Batch   1244, Loss  0.870852, Average Loss  0.868082, Time  0.373990
2021-09-09 15:57:04.044762 : Epoch  6, Batch   1245, Loss  0.869373, Average Loss  0.868095, Time  0.377623
2021-09-09 16:01:54.963727 : CheckPoint: Validation Loss  0.00060949, Best Loss  0.00056427
2021-09-09 16:01:56.790791 : Epoch  6, Batch   1246, Loss  0.874299, Average Loss  0.868096, Time  0.375085
2021-09-09 16:01:58.610766 : Epoch  6, Batch   1247, Loss  0.858601, Average Loss  0.868040, Time  0.380276
2021-09-09 16:02:00.488965 : Epoch  6, Batch   1248, Loss  0.855433, Average Loss  0.867976, Time  0.475851
2021-09-09 16:02:02.312847 : Epoch  6, Batch   1249, Loss  0.874907, Average Loss  0.867988, Time  0.390939
2021-09-09 16:02:04.131763 : Epoch  6, Batch   1250, Loss  0.850285, Average Loss  0.867967, Time  0.386835
2021-09-09 16:02:06.038124 : Epoch  6, Batch   1251, Loss  0.881880, Average Loss  0.867856, Time  0.473837
2021-09-09 16:02:07.848114 : Epoch  6, Batch   1252, Loss  0.862655, Average Loss  0.868023, Time  0.380582
2021-09-09 16:02:09.653875 : Epoch  6, Batch   1253, Loss  0.879853, Average Loss  0.868127, Time  0.369125
2021-09-09 16:02:11.448081 : Epoch  6, Batch   1254, Loss  0.861507, Average Loss  0.868032, Time  0.373245
2021-09-09 16:02:13.367854 : Epoch  6, Batch   1255, Loss  0.866944, Average Loss  0.868037, Time  0.473812
2021-09-09 16:02:15.152241 : Epoch  6, Batch   1256, Loss  0.875387, Average Loss  0.868154, Time  0.380701
2021-09-09 16:02:16.957805 : Epoch  6, Batch   1257, Loss  0.848748, Average Loss  0.868037, Time  0.375469
2021-09-09 16:02:18.874896 : Epoch  6, Batch   1258, Loss  0.873224, Average Loss  0.868164, Time  0.479247
2021-09-09 16:02:20.751129 : Epoch  6, Batch   1259, Loss  0.846501, Average Loss  0.868126, Time  0.405760
2021-09-09 16:02:22.560962 : Epoch  6, Batch   1260, Loss  0.861316, Average Loss  0.868149, Time  0.372584
2021-09-09 16:02:24.402135 : Epoch  6, Batch   1261, Loss  0.852440, Average Loss  0.868106, Time  0.375260
2021-09-09 16:02:26.352783 : Epoch  6, Batch   1262, Loss  0.907713, Average Loss  0.868360, Time  0.489258
2021-09-09 16:02:28.147194 : Epoch  6, Batch   1263, Loss  0.855898, Average Loss  0.868319, Time  0.366894
2021-09-09 16:02:29.944783 : Epoch  6, Batch   1264, Loss  0.895392, Average Loss  0.868375, Time  0.373387
2021-09-09 16:02:31.789112 : Epoch  6, Batch   1265, Loss  0.876239, Average Loss  0.868456, Time  0.422889
2021-09-09 16:02:33.684780 : Epoch  6, Batch   1266, Loss  0.877926, Average Loss  0.868525, Time  0.469679
2021-09-09 16:02:35.529022 : Epoch  6, Batch   1267, Loss  0.896375, Average Loss  0.868600, Time  0.377131
2021-09-09 16:02:37.344132 : Epoch  6, Batch   1268, Loss  0.826345, Average Loss  0.868414, Time  0.373562
2021-09-09 16:02:39.251779 : Epoch  6, Batch   1269, Loss  0.879146, Average Loss  0.868574, Time  0.459105
2021-09-09 16:02:41.155095 : Epoch  6, Batch   1270, Loss  0.899495, Average Loss  0.868737, Time  0.468002
2021-09-09 16:02:42.967778 : Epoch  6, Batch   1271, Loss  0.872934, Average Loss  0.868807, Time  0.374446
2021-09-09 16:02:44.767190 : Epoch  6, Batch   1272, Loss  0.874026, Average Loss  0.868780, Time  0.373065
2021-09-09 16:02:46.650782 : Epoch  6, Batch   1273, Loss  0.846189, Average Loss  0.868732, Time  0.483097
2021-09-09 16:02:48.567153 : Epoch  6, Batch   1274, Loss  0.882460, Average Loss  0.868759, Time  0.460165
2021-09-09 16:02:50.364780 : Epoch  6, Batch   1275, Loss  0.874667, Average Loss  0.868902, Time  0.371295
2021-09-09 16:02:52.156782 : Epoch  6, Batch   1276, Loss  0.886436, Average Loss  0.869026, Time  0.369689
2021-09-09 16:02:54.095782 : Epoch  6, Batch   1277, Loss  0.836868, Average Loss  0.869074, Time  0.501755
2021-09-09 16:02:56.080112 : Epoch  6, Batch   1278, Loss  0.876069, Average Loss  0.868888, Time  0.478717
2021-09-09 16:02:57.902463 : Epoch  6, Batch   1279, Loss  0.878659, Average Loss  0.869024, Time  0.381629
2021-09-09 16:02:59.713777 : Epoch  6, Batch   1280, Loss  0.849081, Average Loss  0.868876, Time  0.392610
2021-09-09 16:03:01.617892 : Epoch  6, Batch   1281, Loss  0.876273, Average Loss  0.868951, Time  0.464294
2021-09-09 16:03:03.526781 : Epoch  6, Batch   1282, Loss  0.869172, Average Loss  0.868883, Time  0.468742
2021-09-09 16:03:05.321780 : Epoch  6, Batch   1283, Loss  0.825194, Average Loss  0.868598, Time  0.368592
2021-09-09 16:03:07.141954 : Epoch  6, Batch   1284, Loss  0.857101, Average Loss  0.868639, Time  0.375330
2021-09-09 16:03:09.043517 : Epoch  6, Batch   1285, Loss  0.892379, Average Loss  0.868704, Time  0.471379
2021-09-09 16:03:10.799916 : Epoch  6, Batch   1286, Loss  0.878864, Average Loss  0.868877, Time  0.350488
2021-09-09 16:03:12.614138 : Epoch  6, Batch   1287, Loss  0.882373, Average Loss  0.868922, Time  0.381800
2021-09-09 16:03:14.479783 : Epoch  6, Batch   1288, Loss  0.881980, Average Loss  0.868993, Time  0.404972
2021-09-09 16:03:16.394129 : Epoch  6, Batch   1289, Loss  0.829476, Average Loss  0.868835, Time  0.472510
2021-09-09 16:03:18.211704 : Epoch  6, Batch   1290, Loss  0.871199, Average Loss  0.868902, Time  0.375086
2021-09-09 16:03:20.032776 : Epoch  6, Batch   1291, Loss  0.849620, Average Loss  0.868900, Time  0.382895
2021-09-09 16:03:21.927783 : Epoch  6, Batch   1292, Loss  0.892546, Average Loss  0.869117, Time  0.474395
2021-09-09 16:03:23.851097 : Epoch  6, Batch   1293, Loss  0.879670, Average Loss  0.869130, Time  0.481745
2021-09-09 16:03:25.656804 : Epoch  6, Batch   1294, Loss  0.899859, Average Loss  0.869293, Time  0.377532
2021-09-09 16:03:27.480827 : Epoch  6, Batch   1295, Loss  0.884851, Average Loss  0.869376, Time  0.374868
2021-09-09 16:03:29.404919 : Epoch  6, Batch   1296, Loss  0.857501, Average Loss  0.869376, Time  0.486285
2021-09-09 16:03:31.190779 : Epoch  6, Batch   1297, Loss  0.874065, Average Loss  0.869414, Time  0.358412
2021-09-09 16:03:32.982815 : Epoch  6, Batch   1298, Loss  0.873045, Average Loss  0.869552, Time  0.370397
2021-09-09 16:03:34.812857 : Epoch  6, Batch   1299, Loss  0.863351, Average Loss  0.869562, Time  0.402949
2021-09-09 16:03:36.652219 : Epoch  6, Batch   1300, Loss  0.886334, Average Loss  0.869702, Time  0.435728
2021-09-09 16:03:38.475791 : Epoch  6, Batch   1301, Loss  0.871249, Average Loss  0.869695, Time  0.388992
2021-09-09 16:03:40.295959 : Epoch  6, Batch   1302, Loss  0.849527, Average Loss  0.869642, Time  0.370630
2021-09-09 16:03:42.187729 : Epoch  6, Batch   1303, Loss  0.867765, Average Loss  0.869733, Time  0.477783
2021-09-09 16:03:44.058785 : Epoch  6, Batch   1304, Loss  0.899625, Average Loss  0.869744, Time  0.441315
2021-09-09 16:03:45.873783 : Epoch  6, Batch   1305, Loss  0.892699, Average Loss  0.869736, Time  0.386927
2021-09-09 16:03:47.660344 : Epoch  6, Batch   1306, Loss  0.867268, Average Loss  0.869717, Time  0.382958
2021-09-09 16:03:49.576869 : Epoch  6, Batch   1307, Loss  0.875376, Average Loss  0.869789, Time  0.474289
2021-09-09 16:03:51.377823 : Epoch  6, Batch   1308, Loss  0.860912, Average Loss  0.869663, Time  0.377329
2021-09-09 16:03:53.189132 : Epoch  6, Batch   1309, Loss  0.885329, Average Loss  0.869707, Time  0.376064
2021-09-09 16:03:55.070783 : Epoch  6, Batch   1310, Loss  0.880740, Average Loss  0.869823, Time  0.470287
2021-09-09 16:03:57.013122 : Epoch  6, Batch   1311, Loss  0.882318, Average Loss  0.869896, Time  0.475248
2021-09-09 16:03:58.822781 : Epoch  6, Batch   1312, Loss  0.852531, Average Loss  0.869907, Time  0.374505
2021-09-09 16:04:00.627786 : Epoch  6, Batch   1313, Loss  0.881691, Average Loss  0.869960, Time  0.386279
2021-09-09 16:04:02.523792 : Epoch  6, Batch   1314, Loss  0.878500, Average Loss  0.870063, Time  0.472535
2021-09-09 16:04:04.433781 : Epoch  6, Batch   1315, Loss  0.842118, Average Loss  0.870067, Time  0.468126
2021-09-09 16:04:06.269868 : Epoch  6, Batch   1316, Loss  0.877971, Average Loss  0.870115, Time  0.377576
2021-09-09 16:04:08.071778 : Epoch  6, Batch   1317, Loss  0.853344, Average Loss  0.870060, Time  0.378703
2021-09-09 16:04:09.970162 : Epoch  6, Batch   1318, Loss  0.851171, Average Loss  0.869978, Time  0.487792
2021-09-09 16:04:11.876782 : Epoch  6, Batch   1319, Loss  0.867273, Average Loss  0.869835, Time  0.456599
2021-09-09 16:04:13.692212 : Epoch  6, Batch   1320, Loss  0.865536, Average Loss  0.869753, Time  0.374331
2021-09-09 16:04:15.484936 : Epoch  6, Batch   1321, Loss  0.881330, Average Loss  0.869886, Time  0.376335
2021-09-09 16:04:17.381060 : Epoch  6, Batch   1322, Loss  0.879459, Average Loss  0.870056, Time  0.484910
2021-09-09 16:04:19.202923 : Epoch  6, Batch   1323, Loss  0.867328, Average Loss  0.870095, Time  0.372823
2021-09-09 16:04:21.043775 : Epoch  6, Batch   1324, Loss  0.879254, Average Loss  0.870020, Time  0.393268
2021-09-09 16:04:22.900012 : Epoch  6, Batch   1325, Loss  0.841668, Average Loss  0.869856, Time  0.441381
2021-09-09 16:04:24.768251 : Epoch  6, Batch   1326, Loss  0.837202, Average Loss  0.869818, Time  0.462023
2021-09-09 16:04:26.557051 : Epoch  6, Batch   1327, Loss  0.881398, Average Loss  0.869721, Time  0.379783
2021-09-09 16:04:28.349791 : Epoch  6, Batch   1328, Loss  0.878170, Average Loss  0.869858, Time  0.377026
2021-09-09 16:04:30.275785 : Epoch  6, Batch   1329, Loss  0.877721, Average Loss  0.869872, Time  0.482226
2021-09-09 16:04:32.070311 : Epoch  6, Batch   1330, Loss  0.868794, Average Loss  0.869996, Time  0.369510
2021-09-09 16:04:33.851893 : Epoch  6, Batch   1331, Loss  0.880594, Average Loss  0.869970, Time  0.373029
2021-09-09 16:04:35.733777 : Epoch  6, Batch   1332, Loss  0.843123, Average Loss  0.869787, Time  0.432727
2021-09-09 16:04:37.643806 : Epoch  6, Batch   1333, Loss  0.867085, Average Loss  0.869769, Time  0.483617
2021-09-09 16:04:39.432971 : Epoch  6, Batch   1334, Loss  0.883170, Average Loss  0.869818, Time  0.371372
2021-09-09 16:04:41.227867 : Epoch  6, Batch   1335, Loss  0.869432, Average Loss  0.869862, Time  0.371705
2021-09-09 16:04:43.136167 : Epoch  6, Batch   1336, Loss  0.878653, Average Loss  0.870002, Time  0.472684
2021-09-09 16:04:45.028773 : Epoch  6, Batch   1337, Loss  0.870826, Average Loss  0.869991, Time  0.461524
2021-09-09 16:04:46.829128 : Epoch  6, Batch   1338, Loss  0.881090, Average Loss  0.870026, Time  0.369189
2021-09-09 16:04:48.617773 : Epoch  6, Batch   1339, Loss  0.853193, Average Loss  0.869975, Time  0.373166
2021-09-09 16:04:50.544021 : Epoch  6, Batch   1340, Loss  0.867666, Average Loss  0.869922, Time  0.483703
2021-09-09 16:04:52.378781 : Epoch  6, Batch   1341, Loss  0.865650, Average Loss  0.869804, Time  0.372840
2021-09-09 16:04:54.192861 : Epoch  6, Batch   1342, Loss  0.883647, Average Loss  0.870010, Time  0.367386
2021-09-09 16:04:56.055569 : Epoch  6, Batch   1343, Loss  0.841235, Average Loss  0.869868, Time  0.447749
2021-09-09 16:04:57.938940 : Epoch  6, Batch   1344, Loss  0.878155, Average Loss  0.869916, Time  0.444337
2021-09-09 16:04:59.713864 : Epoch  6, Batch   1345, Loss  0.868249, Average Loss  0.869695, Time  0.367609
2021-09-09 16:09:51.118740 : CheckPoint: Validation Loss  0.00061558, Best Loss  0.00056427
2021-09-09 16:09:53.044789 : Epoch  6, Batch   1346, Loss  0.858302, Average Loss  0.869685, Time  0.498947
2021-09-09 16:09:54.954781 : Epoch  6, Batch   1347, Loss  0.873202, Average Loss  0.869614, Time  0.453644
2021-09-09 16:09:56.764999 : Epoch  6, Batch   1348, Loss  0.845346, Average Loss  0.869443, Time  0.370805
2021-09-09 16:09:58.560115 : Epoch  6, Batch   1349, Loss  0.856872, Average Loss  0.869470, Time  0.368104
2021-09-09 16:10:00.496767 : Epoch  6, Batch   1350, Loss  0.865027, Average Loss  0.869464, Time  0.488391
2021-09-09 16:10:02.318116 : Epoch  6, Batch   1351, Loss  0.852942, Average Loss  0.869191, Time  0.373316
2021-09-09 16:10:04.134780 : Epoch  6, Batch   1352, Loss  0.887504, Average Loss  0.869320, Time  0.388855
2021-09-09 16:10:05.992797 : Epoch  6, Batch   1353, Loss  0.853055, Average Loss  0.869233, Time  0.434549
2021-09-09 16:10:07.898230 : Epoch  6, Batch   1354, Loss  0.820468, Average Loss  0.868955, Time  0.472721
2021-09-09 16:10:09.708140 : Epoch  6, Batch   1355, Loss  0.872862, Average Loss  0.868907, Time  0.371876
2021-09-09 16:10:11.496339 : Epoch  6, Batch   1356, Loss  0.878501, Average Loss  0.868785, Time  0.375495
2021-09-09 16:10:13.424319 : Epoch  6, Batch   1357, Loss  0.886828, Average Loss  0.868837, Time  0.486368
2021-09-09 16:10:15.307885 : Epoch  6, Batch   1358, Loss  0.846099, Average Loss  0.868742, Time  0.453649
2021-09-09 16:10:17.088768 : Epoch  6, Batch   1359, Loss  0.833944, Average Loss  0.868462, Time  0.369627
2021-09-09 16:10:18.873779 : Epoch  6, Batch   1360, Loss  0.851527, Average Loss  0.868328, Time  0.374879
2021-09-09 16:10:20.763911 : Epoch  6, Batch   1361, Loss  0.860518, Average Loss  0.868487, Time  0.472361
2021-09-09 16:10:22.603787 : Epoch  6, Batch   1362, Loss  0.880746, Average Loss  0.868466, Time  0.387125
2021-09-09 16:10:24.436779 : Epoch  6, Batch   1363, Loss  0.838959, Average Loss  0.868236, Time  0.374979
2021-09-09 16:10:26.305128 : Epoch  6, Batch   1364, Loss  0.875776, Average Loss  0.868267, Time  0.425930
2021-09-09 16:10:28.182782 : Epoch  6, Batch   1365, Loss  0.881901, Average Loss  0.868306, Time  0.458382
2021-09-09 16:10:29.971158 : Epoch  6, Batch   1366, Loss  0.844274, Average Loss  0.868133, Time  0.373293
2021-09-09 16:10:31.767784 : Epoch  6, Batch   1367, Loss  0.853124, Average Loss  0.868029, Time  0.376035
2021-09-09 16:10:33.663251 : Epoch  6, Batch   1368, Loss  0.853110, Average Loss  0.867914, Time  0.474851
2021-09-09 16:10:35.458915 : Epoch  6, Batch   1369, Loss  0.878305, Average Loss  0.867804, Time  0.371614
2021-09-09 16:10:37.250111 : Epoch  6, Batch   1370, Loss  0.859754, Average Loss  0.867627, Time  0.371751
2021-09-09 16:10:39.080160 : Epoch  6, Batch   1371, Loss  0.859135, Average Loss  0.867531, Time  0.416537
2021-09-09 16:10:40.963854 : Epoch  6, Batch   1372, Loss  0.868464, Average Loss  0.867467, Time  0.480907
2021-09-09 16:10:42.785783 : Epoch  6, Batch   1373, Loss  0.881934, Average Loss  0.867506, Time  0.376319
2021-09-09 16:10:44.597764 : Epoch  6, Batch   1374, Loss  0.860554, Average Loss  0.867587, Time  0.370988
2021-09-09 16:10:46.509928 : Epoch  6, Batch   1375, Loss  0.870680, Average Loss  0.867614, Time  0.469961
2021-09-09 16:10:48.371918 : Epoch  6, Batch   1376, Loss  0.877832, Average Loss  0.867747, Time  0.437037
2021-09-09 16:10:50.174122 : Epoch  6, Batch   1377, Loss  0.837409, Average Loss  0.867515, Time  0.369972
2021-09-09 16:10:51.994860 : Epoch  6, Batch   1378, Loss  0.865901, Average Loss  0.867513, Time  0.373647
2021-09-09 16:10:53.917784 : Epoch  6, Batch   1379, Loss  0.880011, Average Loss  0.867556, Time  0.486072
2021-09-09 16:10:55.699926 : Epoch  6, Batch   1380, Loss  0.869047, Average Loss  0.867506, Time  0.375989
2021-09-09 16:10:57.494769 : Epoch  6, Batch   1381, Loss  0.877338, Average Loss  0.867561, Time  0.379578
2021-09-09 16:10:59.321124 : Epoch  6, Batch   1382, Loss  0.884104, Average Loss  0.867735, Time  0.399006
2021-09-09 16:11:01.219786 : Epoch  6, Batch   1383, Loss  0.909492, Average Loss  0.867951, Time  0.471446
2021-09-09 16:11:03.021770 : Epoch  6, Batch   1384, Loss  0.863183, Average Loss  0.867904, Time  0.372708
2021-09-09 16:11:04.821116 : Epoch  6, Batch   1385, Loss  0.880238, Average Loss  0.867964, Time  0.381597
2021-09-09 16:11:06.732112 : Epoch  6, Batch   1386, Loss  0.880936, Average Loss  0.868010, Time  0.483070
2021-09-09 16:11:08.675124 : Epoch  6, Batch   1387, Loss  0.856977, Average Loss  0.868048, Time  0.466463
2021-09-09 16:11:10.493346 : Epoch  6, Batch   1388, Loss  0.861351, Average Loss  0.867860, Time  0.372951
2021-09-09 16:11:12.297786 : Epoch  6, Batch   1389, Loss  0.867248, Average Loss  0.867779, Time  0.366445
2021-09-09 16:11:14.218126 : Epoch  6, Batch   1390, Loss  0.888143, Average Loss  0.867969, Time  0.485696
2021-09-09 16:11:16.117320 : Epoch  6, Batch   1391, Loss  0.865722, Average Loss  0.868014, Time  0.466927
2021-09-09 16:11:17.906009 : Epoch  6, Batch   1392, Loss  0.874655, Average Loss  0.867988, Time  0.392133
2021-09-09 16:11:19.700871 : Epoch  6, Batch   1393, Loss  0.872024, Average Loss  0.868077, Time  0.379533
2021-09-09 16:11:21.656809 : Epoch  6, Batch   1394, Loss  0.852912, Average Loss  0.867998, Time  0.501945
2021-09-09 16:11:23.471833 : Epoch  6, Batch   1395, Loss  0.856847, Average Loss  0.867818, Time  0.388322
2021-09-09 16:11:25.267149 : Epoch  6, Batch   1396, Loss  0.855268, Average Loss  0.867722, Time  0.390214
2021-09-09 16:11:27.046878 : Epoch  6, Batch   1397, Loss  0.846178, Average Loss  0.867675, Time  0.376155
2021-09-09 16:11:28.954764 : Epoch  6, Batch   1398, Loss  0.862198, Average Loss  0.867726, Time  0.467025
2021-09-09 16:11:30.762786 : Epoch  6, Batch   1399, Loss  0.912065, Average Loss  0.868110, Time  0.369341
2021-09-09 16:11:32.571187 : Epoch  6, Batch   1400, Loss  0.839712, Average Loss  0.867867, Time  0.387020
2021-09-09 16:11:34.478781 : Epoch  6, Batch   1401, Loss  0.827526, Average Loss  0.867676, Time  0.472507
2021-09-09 16:11:36.334807 : Epoch  6, Batch   1402, Loss  0.874445, Average Loss  0.867639, Time  0.405123
2021-09-09 16:11:38.135552 : Epoch  6, Batch   1403, Loss  0.871757, Average Loss  0.867689, Time  0.370579
2021-09-09 16:11:39.936785 : Epoch  6, Batch   1404, Loss  0.839976, Average Loss  0.867635, Time  0.369363
2021-09-09 16:11:41.893776 : Epoch  6, Batch   1405, Loss  0.875759, Average Loss  0.867716, Time  0.497901
2021-09-09 16:11:43.697769 : Epoch  6, Batch   1406, Loss  0.884832, Average Loss  0.867739, Time  0.376851
2021-09-09 16:11:45.485244 : Epoch  6, Batch   1407, Loss  0.858858, Average Loss  0.867751, Time  0.374700
2021-09-09 16:11:47.362162 : Epoch  6, Batch   1408, Loss  0.885316, Average Loss  0.867795, Time  0.450238
2021-09-09 16:11:49.259822 : Epoch  6, Batch   1409, Loss  0.864487, Average Loss  0.867811, Time  0.469547
2021-09-09 16:11:51.087772 : Epoch  6, Batch   1410, Loss  0.885252, Average Loss  0.867968, Time  0.391297
2021-09-09 16:11:53.093761 : Epoch  6, Batch   1411, Loss  0.875399, Average Loss  0.867969, Time  0.369502
2021-09-09 16:11:54.978783 : Epoch  6, Batch   1412, Loss  0.864958, Average Loss  0.868013, Time  0.422877
2021-09-09 16:11:56.922783 : Epoch  6, Batch   1413, Loss  0.870043, Average Loss  0.868038, Time  0.482607
2021-09-09 16:11:58.726201 : Epoch  6, Batch   1414, Loss  0.887448, Average Loss  0.868073, Time  0.368442
2021-09-09 16:12:00.512799 : Epoch  6, Batch   1415, Loss  0.863191, Average Loss  0.868098, Time  0.372265
2021-09-09 16:12:02.412775 : Epoch  6, Batch   1416, Loss  0.849194, Average Loss  0.867989, Time  0.455854
2021-09-09 16:12:04.338776 : Epoch  6, Batch   1417, Loss  0.868732, Average Loss  0.868001, Time  0.471356
2021-09-09 16:12:06.148776 : Epoch  6, Batch   1418, Loss  0.859182, Average Loss  0.868047, Time  0.373375
2021-09-09 16:12:07.962782 : Epoch  6, Batch   1419, Loss  0.882829, Average Loss  0.868176, Time  0.381557
2021-09-09 16:12:09.877782 : Epoch  6, Batch   1420, Loss  0.882739, Average Loss  0.868283, Time  0.470933
2021-09-09 16:12:11.808789 : Epoch  6, Batch   1421, Loss  0.877003, Average Loss  0.868176, Time  0.478861
2021-09-09 16:12:13.600049 : Epoch  6, Batch   1422, Loss  0.862444, Average Loss  0.868329, Time  0.369615
2021-09-09 16:12:15.378778 : Epoch  6, Batch   1423, Loss  0.858702, Average Loss  0.868321, Time  0.377314
2021-09-09 16:12:17.279780 : Epoch  6, Batch   1424, Loss  0.870396, Average Loss  0.868262, Time  0.472340
2021-09-09 16:12:19.154995 : Epoch  6, Batch   1425, Loss  0.864623, Average Loss  0.868234, Time  0.434716
2021-09-09 16:12:20.964984 : Epoch  6, Batch   1426, Loss  0.861282, Average Loss  0.868209, Time  0.371810
2021-09-09 16:12:22.773778 : Epoch  6, Batch   1427, Loss  0.887251, Average Loss  0.868288, Time  0.374022
2021-09-09 16:12:24.695782 : Epoch  6, Batch   1428, Loss  0.857001, Average Loss  0.868172, Time  0.482610
2021-09-09 16:12:26.513060 : Epoch  6, Batch   1429, Loss  0.844199, Average Loss  0.867959, Time  0.379410
2021-09-09 16:12:28.296901 : Epoch  6, Batch   1430, Loss  0.837512, Average Loss  0.867776, Time  0.368544
2021-09-09 16:12:30.169777 : Epoch  6, Batch   1431, Loss  0.837044, Average Loss  0.867746, Time  0.433522
2021-09-09 16:12:32.065241 : Epoch  6, Batch   1432, Loss  0.890435, Average Loss  0.867775, Time  0.470036
2021-09-09 16:12:33.856126 : Epoch  6, Batch   1433, Loss  0.856909, Average Loss  0.867795, Time  0.377287
2021-09-09 16:12:35.657791 : Epoch  6, Batch   1434, Loss  0.849625, Average Loss  0.867609, Time  0.370360
2021-09-09 16:12:37.564147 : Epoch  6, Batch   1435, Loss  0.871577, Average Loss  0.867542, Time  0.471978
2021-09-09 16:12:39.457105 : Epoch  6, Batch   1436, Loss  0.874335, Average Loss  0.867625, Time  0.435184
2021-09-09 16:12:41.270082 : Epoch  6, Batch   1437, Loss  0.827455, Average Loss  0.867420, Time  0.369451
2021-09-09 16:12:43.115785 : Epoch  6, Batch   1438, Loss  0.873474, Average Loss  0.867642, Time  0.372467
2021-09-09 16:12:45.052930 : Epoch  6, Batch   1439, Loss  0.859280, Average Loss  0.867674, Time  0.477836
2021-09-09 16:12:46.946965 : Epoch  6, Batch   1440, Loss  0.863491, Average Loss  0.867615, Time  0.440314
2021-09-09 16:12:48.763786 : Epoch  6, Batch   1441, Loss  0.846171, Average Loss  0.867387, Time  0.375625
2021-09-09 16:12:50.594927 : Epoch  6, Batch   1442, Loss  0.887278, Average Loss  0.867529, Time  0.377113
2021-09-09 16:12:52.509769 : Epoch  6, Batch   1443, Loss  0.883529, Average Loss  0.867537, Time  0.471584
2021-09-09 16:12:54.325040 : Epoch  6, Batch   1444, Loss  0.843371, Average Loss  0.867400, Time  0.392580
2021-09-09 16:13:01.835126 : Epoch  6, Batch   1445, Loss  0.882972, Average Loss  0.867468, Time  0.476923
2021-09-09 16:17:52.240710 : CheckPoint: Validation Loss  0.00061093, Best Loss  0.00056427
2021-09-09 16:17:54.145786 : Epoch  6, Batch   1446, Loss  0.877280, Average Loss  0.867483, Time  0.455828
2021-09-09 16:17:56.056066 : Epoch  6, Batch   1447, Loss  0.878639, Average Loss  0.867583, Time  0.465133
2021-09-09 16:17:57.869083 : Epoch  6, Batch   1448, Loss  0.885448, Average Loss  0.867733, Time  0.374933
2021-09-09 16:17:59.683788 : Epoch  6, Batch   1449, Loss  0.873393, Average Loss  0.867725, Time  0.372694
2021-09-09 16:18:01.609779 : Epoch  6, Batch   1450, Loss  0.867889, Average Loss  0.867813, Time  0.471994
2021-09-09 16:18:03.415947 : Epoch  6, Batch   1451, Loss  0.903452, Average Loss  0.867921, Time  0.371217
2021-09-09 16:18:05.192146 : Epoch  6, Batch   1452, Loss  0.884755, Average Loss  0.868032, Time  0.369664
2021-09-09 16:18:07.020794 : Epoch  6, Batch   1453, Loss  0.857745, Average Loss  0.867921, Time  0.377905
2021-09-09 16:18:08.958782 : Epoch  6, Batch   1454, Loss  0.861405, Average Loss  0.867921, Time  0.486873
2021-09-09 16:18:10.788765 : Epoch  6, Batch   1455, Loss  0.829929, Average Loss  0.867736, Time  0.386364
2021-09-09 16:18:12.616764 : Epoch  6, Batch   1456, Loss  0.872186, Average Loss  0.867720, Time  0.377498
2021-09-09 16:18:14.520775 : Epoch  6, Batch   1457, Loss  0.886809, Average Loss  0.867910, Time  0.447530
2021-09-09 16:18:16.445956 : Epoch  6, Batch   1458, Loss  0.873429, Average Loss  0.867911, Time  0.470465
2021-09-09 16:18:18.259764 : Epoch  6, Batch   1459, Loss  0.878451, Average Loss  0.868071, Time  0.376571
2021-09-09 16:18:20.050653 : Epoch  6, Batch   1460, Loss  0.885669, Average Loss  0.868193, Time  0.369253
2021-09-09 16:18:21.951352 : Epoch  6, Batch   1461, Loss  0.856873, Average Loss  0.868215, Time  0.467226
2021-09-09 16:18:23.837763 : Epoch  6, Batch   1462, Loss  0.903536, Average Loss  0.868194, Time  0.465613
2021-09-09 16:18:25.656766 : Epoch  6, Batch   1463, Loss  0.861714, Average Loss  0.868223, Time  0.381307
2021-09-09 16:18:27.481783 : Epoch  6, Batch   1464, Loss  0.874216, Average Loss  0.868117, Time  0.371254
2021-09-09 16:18:29.396784 : Epoch  6, Batch   1465, Loss  0.838638, Average Loss  0.867929, Time  0.476117
2021-09-09 16:18:31.242800 : Epoch  6, Batch   1466, Loss  0.881393, Average Loss  0.867946, Time  0.401900
2021-09-09 16:18:33.067768 : Epoch  6, Batch   1467, Loss  0.923390, Average Loss  0.868081, Time  0.372524
2021-09-09 16:18:34.861786 : Epoch  6, Batch   1468, Loss  0.847358, Average Loss  0.868186, Time  0.369784
2021-09-09 16:18:36.777935 : Epoch  6, Batch   1469, Loss  0.885880, Average Loss  0.868220, Time  0.470175
2021-09-09 16:18:38.599119 : Epoch  6, Batch   1470, Loss  0.870911, Average Loss  0.868077, Time  0.374255
2021-09-09 16:18:40.426000 : Epoch  6, Batch   1471, Loss  0.858783, Average Loss  0.868006, Time  0.378199
2021-09-09 16:18:42.333878 : Epoch  6, Batch   1472, Loss  0.874553, Average Loss  0.868009, Time  0.462509
2021-09-09 16:18:44.269765 : Epoch  6, Batch   1473, Loss  0.832141, Average Loss  0.867939, Time  0.467845
2021-09-09 16:18:46.065291 : Epoch  6, Batch   1474, Loss  0.888634, Average Loss  0.867970, Time  0.371271
2021-09-09 16:18:47.844776 : Epoch  6, Batch   1475, Loss  0.858008, Average Loss  0.867886, Time  0.375768
2021-09-09 16:18:49.725776 : Epoch  6, Batch   1476, Loss  0.896335, Average Loss  0.867936, Time  0.463903
2021-09-09 16:18:51.628120 : Epoch  6, Batch   1477, Loss  0.872437, Average Loss  0.868114, Time  0.465120
2021-09-09 16:18:53.487771 : Epoch  6, Batch   1478, Loss  0.881616, Average Loss  0.868142, Time  0.370535
2021-09-09 16:18:55.259878 : Epoch  6, Batch   1479, Loss  0.894344, Average Loss  0.868220, Time  0.367194
2021-09-09 16:18:57.164782 : Epoch  6, Batch   1480, Loss  0.879450, Average Loss  0.868372, Time  0.482086
2021-09-09 16:18:59.011123 : Epoch  6, Batch   1481, Loss  0.865443, Average Loss  0.868318, Time  0.416461
2021-09-09 16:19:00.787794 : Epoch  6, Batch   1482, Loss  0.877268, Average Loss  0.868358, Time  0.371301
2021-09-09 16:19:02.573819 : Epoch  6, Batch   1483, Loss  0.852386, Average Loss  0.868494, Time  0.375280
2021-09-09 16:19:04.475817 : Epoch  6, Batch   1484, Loss  0.898313, Average Loss  0.868700, Time  0.474804
2021-09-09 16:19:06.318184 : Epoch  6, Batch   1485, Loss  0.864717, Average Loss  0.868562, Time  0.373803
2021-09-09 16:19:08.131782 : Epoch  6, Batch   1486, Loss  0.855257, Average Loss  0.868444, Time  0.377528
2021-09-09 16:19:10.034943 : Epoch  6, Batch   1487, Loss  0.848214, Average Loss  0.868273, Time  0.472565
2021-09-09 16:19:11.928784 : Epoch  6, Batch   1488, Loss  0.869014, Average Loss  0.868208, Time  0.445551
2021-09-09 16:19:13.751127 : Epoch  6, Batch   1489, Loss  0.858334, Average Loss  0.868352, Time  0.390804
2021-09-09 16:19:15.520662 : Epoch  6, Batch   1490, Loss  0.871539, Average Loss  0.868354, Time  0.370824
2021-09-09 16:19:17.439789 : Epoch  6, Batch   1491, Loss  0.865048, Average Loss  0.868431, Time  0.472240
2021-09-09 16:19:19.237104 : Epoch  6, Batch   1492, Loss  0.868064, Average Loss  0.868309, Time  0.369677
2021-09-09 16:19:21.066126 : Epoch  6, Batch   1493, Loss  0.864994, Average Loss  0.868236, Time  0.382793
2021-09-09 16:19:22.931782 : Epoch  6, Batch   1494, Loss  0.876063, Average Loss  0.868117, Time  0.424086
2021-09-09 16:19:24.818783 : Epoch  6, Batch   1495, Loss  0.840794, Average Loss  0.867896, Time  0.463280
2021-09-09 16:19:26.655189 : Epoch  6, Batch   1496, Loss  0.894287, Average Loss  0.868080, Time  0.369921
2021-09-09 16:19:28.475765 : Epoch  6, Batch   1497, Loss  0.868846, Average Loss  0.868054, Time  0.368823
2021-09-09 16:19:30.392909 : Epoch  6, Batch   1498, Loss  0.873214, Average Loss  0.868055, Time  0.493691
2021-09-09 16:19:32.266114 : Epoch  6, Batch   1499, Loss  0.888979, Average Loss  0.868183, Time  0.406124
2021-09-09 16:19:34.077765 : Epoch  6, Batch   1500, Loss  0.877701, Average Loss  0.868140, Time  0.375346
2021-09-09 16:19:35.878782 : Epoch  6, Batch   1501, Loss  0.870571, Average Loss  0.868137, Time  0.378667
2021-09-09 16:19:37.769780 : Epoch  6, Batch   1502, Loss  0.863972, Average Loss  0.868209, Time  0.467070
2021-09-09 16:19:39.592786 : Epoch  6, Batch   1503, Loss  0.865671, Average Loss  0.868198, Time  0.373497
2021-09-09 16:19:41.382766 : Epoch  6, Batch   1504, Loss  0.882949, Average Loss  0.868115, Time  0.376381
2021-09-09 16:19:43.275113 : Epoch  6, Batch   1505, Loss  0.863472, Average Loss  0.867969, Time  0.469894
2021-09-09 16:19:45.165776 : Epoch  6, Batch   1506, Loss  0.877935, Average Loss  0.868022, Time  0.455672
2021-09-09 16:19:46.982767 : Epoch  6, Batch   1507, Loss  0.824958, Average Loss  0.867770, Time  0.369828
2021-09-09 16:19:48.788782 : Epoch  6, Batch   1508, Loss  0.866622, Average Loss  0.867799, Time  0.373396
2021-09-09 16:19:50.715835 : Epoch  6, Batch   1509, Loss  0.887320, Average Loss  0.867808, Time  0.476266
2021-09-09 16:19:52.601770 : Epoch  6, Batch   1510, Loss  0.841470, Average Loss  0.867612, Time  0.453462
2021-09-09 16:19:54.421112 : Epoch  6, Batch   1511, Loss  0.874561, Average Loss  0.867573, Time  0.369198
2021-09-09 16:19:56.232949 : Epoch  6, Batch   1512, Loss  0.841717, Average Loss  0.867519, Time  0.375376
2021-09-09 16:19:58.139755 : Epoch  6, Batch   1513, Loss  0.868733, Average Loss  0.867454, Time  0.474618
2021-09-09 16:19:59.935763 : Epoch  6, Batch   1514, Loss  0.835290, Average Loss  0.867238, Time  0.393561
2021-09-09 16:20:01.709765 : Epoch  6, Batch   1515, Loss  0.885795, Average Loss  0.867457, Time  0.376076
2021-09-09 16:20:03.574769 : Epoch  6, Batch   1516, Loss  0.858695, Average Loss  0.867360, Time  0.436786
2021-09-09 16:20:05.489857 : Epoch  6, Batch   1517, Loss  0.878009, Average Loss  0.867484, Time  0.461071
2021-09-09 16:20:07.290731 : Epoch  6, Batch   1518, Loss  0.869441, Average Loss  0.867575, Time  0.373701
2021-09-09 16:20:09.079777 : Epoch  6, Batch   1519, Loss  0.900449, Average Loss  0.867741, Time  0.377538
2021-09-09 16:20:10.983783 : Epoch  6, Batch   1520, Loss  0.857536, Average Loss  0.867701, Time  0.474338
2021-09-09 16:20:12.807818 : Epoch  6, Batch   1521, Loss  0.864736, Average Loss  0.867618, Time  0.393446
2021-09-09 16:20:14.639126 : Epoch  6, Batch   1522, Loss  0.883303, Average Loss  0.867637, Time  0.387182
2021-09-09 16:20:16.444765 : Epoch  6, Batch   1523, Loss  0.876095, Average Loss  0.867681, Time  0.379020
2021-09-09 16:20:18.333143 : Epoch  6, Batch   1524, Loss  0.835545, Average Loss  0.867463, Time  0.471731
2021-09-09 16:20:20.117781 : Epoch  6, Batch   1525, Loss  0.897612, Average Loss  0.867742, Time  0.369624
2021-09-09 16:20:21.906214 : Epoch  6, Batch   1526, Loss  0.849053, Average Loss  0.867802, Time  0.374913
2021-09-09 16:20:23.805869 : Epoch  6, Batch   1527, Loss  0.898294, Average Loss  0.867886, Time  0.470872
2021-09-09 16:20:25.701298 : Epoch  6, Batch   1528, Loss  0.852676, Average Loss  0.867759, Time  0.425803
2021-09-09 16:20:27.470940 : Epoch  6, Batch   1529, Loss  0.876981, Average Loss  0.867755, Time  0.367403
2021-09-09 16:20:29.271830 : Epoch  6, Batch   1530, Loss  0.872177, Average Loss  0.867772, Time  0.375200
2021-09-09 16:20:31.202107 : Epoch  6, Batch   1531, Loss  0.850053, Average Loss  0.867619, Time  0.486791
2021-09-09 16:20:33.012800 : Epoch  6, Batch   1532, Loss  0.864027, Average Loss  0.867724, Time  0.381035
2021-09-09 16:20:34.844780 : Epoch  6, Batch   1533, Loss  0.857774, Average Loss  0.867677, Time  0.374254
2021-09-09 16:20:36.740783 : Epoch  6, Batch   1534, Loss  0.862075, Average Loss  0.867572, Time  0.427464
2021-09-09 16:20:38.651784 : Epoch  6, Batch   1535, Loss  0.876483, Average Loss  0.867607, Time  0.466801
2021-09-09 16:20:40.466849 : Epoch  6, Batch   1536, Loss  0.895471, Average Loss  0.867691, Time  0.372946
2021-09-09 16:20:42.296778 : Epoch  6, Batch   1537, Loss  0.865510, Average Loss  0.867664, Time  0.370142
2021-09-09 16:20:44.207794 : Epoch  6, Batch   1538, Loss  0.865022, Average Loss  0.867584, Time  0.467045
2021-09-09 16:20:46.149793 : Epoch  6, Batch   1539, Loss  0.861787, Average Loss  0.867627, Time  0.472764
2021-09-09 16:20:47.983137 : Epoch  6, Batch   1540, Loss  0.886290, Average Loss  0.867720, Time  0.385860
2021-09-09 16:20:49.781764 : Epoch  6, Batch   1541, Loss  0.843859, Average Loss  0.867611, Time  0.382326
2021-09-09 16:20:51.685136 : Epoch  6, Batch   1542, Loss  0.894555, Average Loss  0.867666, Time  0.476804
2021-09-09 16:20:53.596784 : Epoch  6, Batch   1543, Loss  0.872405, Average Loss  0.867821, Time  0.478592
2021-09-09 16:20:55.469115 : Epoch  6, Batch   1544, Loss  0.868566, Average Loss  0.867774, Time  0.383049
2021-09-09 16:20:57.272129 : Epoch  6, Batch   1545, Loss  0.878858, Average Loss  0.867827, Time  0.386393
2021-09-09 16:25:48.155737 : CheckPoint: Validation Loss  0.00058609, Best Loss  0.00056427
2021-09-09 16:25:50.014779 : Epoch  6, Batch   1546, Loss  0.859070, Average Loss  0.867830, Time  0.427266
2021-09-09 16:25:51.796780 : Epoch  6, Batch   1547, Loss  0.861344, Average Loss  0.867771, Time  0.359554
2021-09-09 16:25:53.576992 : Epoch  6, Batch   1548, Loss  0.870210, Average Loss  0.867895, Time  0.362548
2021-09-09 16:25:55.413704 : Epoch  6, Batch   1549, Loss  0.880396, Average Loss  0.868013, Time  0.431106
2021-09-09 16:25:57.281912 : Epoch  6, Batch   1550, Loss  0.855998, Average Loss  0.867968, Time  0.453596
2021-09-09 16:25:59.060770 : Epoch  6, Batch   1551, Loss  0.859160, Average Loss  0.867999, Time  0.363201
2021-09-09 16:26:00.861311 : Epoch  6, Batch   1552, Loss  0.836771, Average Loss  0.867745, Time  0.369753
2021-09-09 16:26:02.679808 : Epoch  6, Batch   1553, Loss  0.876022, Average Loss  0.867860, Time  0.389759
2021-09-09 16:26:04.550816 : Epoch  6, Batch   1554, Loss  0.840538, Average Loss  0.867961, Time  0.462674
2021-09-09 16:26:06.330101 : Epoch  6, Batch   1555, Loss  0.868099, Average Loss  0.867937, Time  0.362671
2021-09-09 16:26:08.124942 : Epoch  6, Batch   1556, Loss  0.867329, Average Loss  0.867881, Time  0.361316
2021-09-09 16:26:09.941766 : Epoch  6, Batch   1557, Loss  0.872210, Average Loss  0.867808, Time  0.401787
2021-09-09 16:26:11.827798 : Epoch  6, Batch   1558, Loss  0.854116, Average Loss  0.867848, Time  0.464797
2021-09-09 16:26:13.607778 : Epoch  6, Batch   1559, Loss  0.863453, Average Loss  0.867995, Time  0.350583
2021-09-09 16:26:15.382155 : Epoch  6, Batch   1560, Loss  0.854671, Average Loss  0.868011, Time  0.358931
2021-09-09 16:26:17.179241 : Epoch  6, Batch   1561, Loss  0.867558, Average Loss  0.868046, Time  0.367928
2021-09-09 16:26:19.066861 : Epoch  6, Batch   1562, Loss  0.870864, Average Loss  0.867997, Time  0.449797
2021-09-09 16:26:20.844774 : Epoch  6, Batch   1563, Loss  0.815796, Average Loss  0.867881, Time  0.358299
2021-09-09 16:26:22.637221 : Epoch  6, Batch   1564, Loss  0.851043, Average Loss  0.867757, Time  0.358058
2021-09-09 16:26:24.439761 : Epoch  6, Batch   1565, Loss  0.878002, Average Loss  0.867738, Time  0.382771
2021-09-09 16:26:26.344785 : Epoch  6, Batch   1566, Loss  0.892700, Average Loss  0.867980, Time  0.457295
2021-09-09 16:26:28.140111 : Epoch  6, Batch   1567, Loss  0.889951, Average Loss  0.868164, Time  0.380412
2021-09-09 16:26:29.906072 : Epoch  6, Batch   1568, Loss  0.869737, Average Loss  0.868247, Time  0.361229
2021-09-09 16:26:31.710778 : Epoch  6, Batch   1569, Loss  0.877102, Average Loss  0.868241, Time  0.364086
2021-09-09 16:26:33.618121 : Epoch  6, Batch   1570, Loss  0.884031, Average Loss  0.868363, Time  0.452184
2021-09-09 16:26:35.508761 : Epoch  6, Batch   1571, Loss  0.858115, Average Loss  0.868358, Time  0.460113
2021-09-09 16:26:37.293109 : Epoch  6, Batch   1572, Loss  0.881796, Average Loss  0.868424, Time  0.355725
2021-09-09 16:26:39.092783 : Epoch  6, Batch   1573, Loss  0.860666, Average Loss  0.868318, Time  0.360766
2021-09-09 16:26:40.919925 : Epoch  6, Batch   1574, Loss  0.857518, Average Loss  0.868303, Time  0.392499
2021-09-09 16:26:42.796779 : Epoch  6, Batch   1575, Loss  0.871806, Average Loss  0.868308, Time  0.454705
2021-09-09 16:26:44.584099 : Epoch  6, Batch   1576, Loss  0.885349, Average Loss  0.868346, Time  0.362702
2021-09-09 16:26:46.366768 : Epoch  6, Batch   1577, Loss  0.867154, Average Loss  0.868495, Time  0.359652
2021-09-09 16:26:48.169777 : Epoch  6, Batch   1578, Loss  0.857023, Average Loss  0.868450, Time  0.363092
2021-09-09 16:26:50.042767 : Epoch  6, Batch   1579, Loss  0.853951, Average Loss  0.868320, Time  0.458894
2021-09-09 16:26:51.823231 : Epoch  6, Batch   1580, Loss  0.871364, Average Loss  0.868332, Time  0.371736
2021-09-09 16:26:53.620777 : Epoch  6, Batch   1581, Loss  0.858501, Average Loss  0.868237, Time  0.358140
2021-09-09 16:26:55.415111 : Epoch  6, Batch   1582, Loss  0.837142, Average Loss  0.868003, Time  0.373316
2021-09-09 16:26:57.314779 : Epoch  6, Batch   1583, Loss  0.870793, Average Loss  0.867809, Time  0.458091
2021-09-09 16:26:59.189780 : Epoch  6, Batch   1584, Loss  0.870056, Average Loss  0.867843, Time  0.423810
2021-09-09 16:27:00.950471 : Epoch  6, Batch   1585, Loss  0.862131, Average Loss  0.867753, Time  0.359148
2021-09-09 16:27:02.733778 : Epoch  6, Batch   1586, Loss  0.870923, Average Loss  0.867703, Time  0.361858
2021-09-09 16:27:04.586961 : Epoch  6, Batch   1587, Loss  0.858636, Average Loss  0.867711, Time  0.446891
2021-09-09 16:27:06.457776 : Epoch  6, Batch   1588, Loss  0.867956, Average Loss  0.867744, Time  0.445809
2021-09-09 16:27:08.249885 : Epoch  6, Batch   1589, Loss  0.895475, Average Loss  0.867885, Time  0.360554
2021-09-09 16:27:10.025762 : Epoch  6, Batch   1590, Loss  0.868588, Average Loss  0.867788, Time  0.355279
2021-09-09 16:27:11.883828 : Epoch  6, Batch   1591, Loss  0.861272, Average Loss  0.867765, Time  0.421309
2021-09-09 16:27:13.764075 : Epoch  6, Batch   1592, Loss  0.874657, Average Loss  0.867765, Time  0.452236
2021-09-09 16:27:15.571761 : Epoch  6, Batch   1593, Loss  0.873364, Average Loss  0.867772, Time  0.354950
2021-09-09 16:27:17.379926 : Epoch  6, Batch   1594, Loss  0.874889, Average Loss  0.867882, Time  0.359614
2021-09-09 16:27:19.208775 : Epoch  6, Batch   1595, Loss  0.866267, Average Loss  0.867929, Time  0.377625
2021-09-09 16:27:21.117076 : Epoch  6, Batch   1596, Loss  0.892397, Average Loss  0.868115, Time  0.452781
2021-09-09 16:27:22.917780 : Epoch  6, Batch   1597, Loss  0.851997, Average Loss  0.868144, Time  0.355848
2021-09-09 16:27:24.737838 : Epoch  6, Batch   1598, Loss  0.889401, Average Loss  0.868280, Time  0.356121
2021-09-09 16:27:26.578818 : Epoch  6, Batch   1599, Loss  0.860402, Average Loss  0.868021, Time  0.396904
2021-09-09 16:27:28.492085 : Epoch  6, Batch   1600, Loss  0.859049, Average Loss  0.868118, Time  0.453892
2021-09-09 16:27:30.304067 : Epoch  6, Batch   1601, Loss  0.889393, Average Loss  0.868427, Time  0.365004
2021-09-09 16:27:32.097773 : Epoch  6, Batch   1602, Loss  0.874346, Average Loss  0.868427, Time  0.356168
2021-09-09 16:27:33.895765 : Epoch  6, Batch   1603, Loss  0.852709, Average Loss  0.868332, Time  0.357270
2021-09-09 16:27:35.794762 : Epoch  6, Batch   1604, Loss  0.865004, Average Loss  0.868457, Time  0.451848
2021-09-09 16:27:37.661764 : Epoch  6, Batch   1605, Loss  0.865408, Average Loss  0.868405, Time  0.429937
2021-09-09 16:27:39.464772 : Epoch  6, Batch   1606, Loss  0.880218, Average Loss  0.868382, Time  0.357895
2021-09-09 16:27:41.272779 : Epoch  6, Batch   1607, Loss  0.869272, Average Loss  0.868434, Time  0.352778
2021-09-09 16:27:43.151761 : Epoch  6, Batch   1608, Loss  0.897292, Average Loss  0.868494, Time  0.425924
2021-09-09 16:27:45.051922 : Epoch  6, Batch   1609, Loss  0.870933, Average Loss  0.868526, Time  0.452074
2021-09-09 16:27:46.851775 : Epoch  6, Batch   1610, Loss  0.871592, Average Loss  0.868458, Time  0.363614
2021-09-09 16:27:48.623053 : Epoch  6, Batch   1611, Loss  0.871940, Average Loss  0.868441, Time  0.362913
2021-09-09 16:27:50.445777 : Epoch  6, Batch   1612, Loss  0.867099, Average Loss  0.868451, Time  0.406701
2021-09-09 16:27:52.357115 : Epoch  6, Batch   1613, Loss  0.859603, Average Loss  0.868399, Time  0.451225
2021-09-09 16:27:54.171820 : Epoch  6, Batch   1614, Loss  0.857889, Average Loss  0.868251, Time  0.371164
2021-09-09 16:27:55.964105 : Epoch  6, Batch   1615, Loss  0.860470, Average Loss  0.868238, Time  0.373746
2021-09-09 16:27:57.746781 : Epoch  6, Batch   1616, Loss  0.840400, Average Loss  0.868194, Time  0.361500
2021-09-09 16:27:59.657781 : Epoch  6, Batch   1617, Loss  0.886280, Average Loss  0.868281, Time  0.452519
2021-09-09 16:28:01.578240 : Epoch  6, Batch   1618, Loss  0.899768, Average Loss  0.868484, Time  0.451147
2021-09-09 16:28:03.397772 : Epoch  6, Batch   1619, Loss  0.886139, Average Loss  0.868501, Time  0.363573
2021-09-09 16:28:05.226777 : Epoch  6, Batch   1620, Loss  0.875434, Average Loss  0.868464, Time  0.360948
2021-09-09 16:28:07.027963 : Epoch  6, Batch   1621, Loss  0.856589, Average Loss  0.868362, Time  0.357287
2021-09-09 16:28:08.905099 : Epoch  6, Batch   1622, Loss  0.856563, Average Loss  0.868333, Time  0.462588
2021-09-09 16:28:10.708762 : Epoch  6, Batch   1623, Loss  0.852248, Average Loss  0.868301, Time  0.376931
2021-09-09 16:28:12.492059 : Epoch  6, Batch   1624, Loss  0.861694, Average Loss  0.868257, Time  0.365239
2021-09-09 16:28:14.281762 : Epoch  6, Batch   1625, Loss  0.899886, Average Loss  0.868434, Time  0.372808
2021-09-09 16:28:16.144455 : Epoch  6, Batch   1626, Loss  0.873165, Average Loss  0.868493, Time  0.447389
2021-09-09 16:28:18.030952 : Epoch  6, Batch   1627, Loss  0.848981, Average Loss  0.868302, Time  0.447395
2021-09-09 16:28:19.812791 : Epoch  6, Batch   1628, Loss  0.878364, Average Loss  0.868408, Time  0.369504
2021-09-09 16:28:21.598774 : Epoch  6, Batch   1629, Loss  0.860132, Average Loss  0.868488, Time  0.365963
2021-09-09 16:28:23.434779 : Epoch  6, Batch   1630, Loss  0.853793, Average Loss  0.868569, Time  0.398266
2021-09-09 16:28:25.311777 : Epoch  6, Batch   1631, Loss  0.839813, Average Loss  0.868583, Time  0.459896
2021-09-09 16:28:27.089766 : Epoch  6, Batch   1632, Loss  0.870677, Average Loss  0.868485, Time  0.355155
2021-09-09 16:28:28.902109 : Epoch  6, Batch   1633, Loss  0.838537, Average Loss  0.868393, Time  0.359874
2021-09-09 16:28:30.736773 : Epoch  6, Batch   1634, Loss  0.874674, Average Loss  0.868518, Time  0.380669
2021-09-09 16:28:32.623772 : Epoch  6, Batch   1635, Loss  0.874951, Average Loss  0.868535, Time  0.450935
2021-09-09 16:28:34.402231 : Epoch  6, Batch   1636, Loss  0.898688, Average Loss  0.868657, Time  0.346226
2021-09-09 16:28:36.203137 : Epoch  6, Batch   1637, Loss  0.881733, Average Loss  0.868928, Time  0.359663
2021-09-09 16:28:37.984389 : Epoch  6, Batch   1638, Loss  0.852693, Average Loss  0.868824, Time  0.357631
2021-09-09 16:28:39.885778 : Epoch  6, Batch   1639, Loss  0.863351, Average Loss  0.868844, Time  0.469414
2021-09-09 16:28:41.777258 : Epoch  6, Batch   1640, Loss  0.842177, Average Loss  0.868738, Time  0.457544
2021-09-09 16:28:43.549940 : Epoch  6, Batch   1641, Loss  0.898543, Average Loss  0.869000, Time  0.365327
2021-09-09 16:28:45.334763 : Epoch  6, Batch   1642, Loss  0.853141, Average Loss  0.868829, Time  0.358688
2021-09-09 16:28:47.170778 : Epoch  6, Batch   1643, Loss  0.871235, Average Loss  0.868768, Time  0.415324
2021-09-09 16:28:49.095889 : Epoch  6, Batch   1644, Loss  0.846789, Average Loss  0.868785, Time  0.450973
2021-09-09 16:28:50.962765 : Epoch  6, Batch   1645, Loss  0.864646, Average Loss  0.868693, Time  0.409282
2021-09-09 16:33:40.266709 : CheckPoint: Validation Loss  0.00059823, Best Loss  0.00056427
2021-09-09 16:33:42.046766 : Epoch  6, Batch   1646, Loss  0.819521, Average Loss  0.868404, Time  0.355230
2021-09-09 16:33:43.930778 : Epoch  6, Batch   1647, Loss  0.877004, Average Loss  0.868396, Time  0.412510
2021-09-09 16:33:45.729774 : Epoch  6, Batch   1648, Loss  0.911201, Average Loss  0.868525, Time  0.355743
2021-09-09 16:33:47.585768 : Epoch  6, Batch   1649, Loss  0.868921, Average Loss  0.868502, Time  0.404522
2021-09-09 16:33:49.371059 : Epoch  6, Batch   1650, Loss  0.903916, Average Loss  0.868683, Time  0.356899
2021-09-09 16:33:51.174112 : Epoch  6, Batch   1651, Loss  0.868140, Average Loss  0.868506, Time  0.376729
2021-09-09 16:33:52.950874 : Epoch  6, Batch   1652, Loss  0.881730, Average Loss  0.868491, Time  0.359913
2021-09-09 16:33:54.731898 : Epoch  6, Batch   1653, Loss  0.871119, Average Loss  0.868558, Time  0.376615
2021-09-09 16:33:56.498831 : Epoch  6, Batch   1654, Loss  0.880543, Average Loss  0.868653, Time  0.358638
2021-09-09 16:33:58.287774 : Epoch  6, Batch   1655, Loss  0.857700, Average Loss  0.868792, Time  0.374481
2021-09-09 16:34:00.070796 : Epoch  6, Batch   1656, Loss  0.858383, Average Loss  0.868723, Time  0.357944
2021-09-09 16:34:01.851103 : Epoch  6, Batch   1657, Loss  0.884420, Average Loss  0.868711, Time  0.368055
2021-09-09 16:34:03.637093 : Epoch  6, Batch   1658, Loss  0.840433, Average Loss  0.868546, Time  0.356236
2021-09-09 16:34:05.424630 : Epoch  6, Batch   1659, Loss  0.879715, Average Loss  0.868553, Time  0.376886
2021-09-09 16:34:07.207929 : Epoch  6, Batch   1660, Loss  0.883747, Average Loss  0.868543, Time  0.360153
2021-09-09 16:34:09.034100 : Epoch  6, Batch   1661, Loss  0.883871, Average Loss  0.868678, Time  0.373390
2021-09-09 16:34:10.810816 : Epoch  6, Batch   1662, Loss  0.870681, Average Loss  0.868514, Time  0.358205
2021-09-09 16:34:12.611347 : Epoch  6, Batch   1663, Loss  0.862854, Average Loss  0.868519, Time  0.374383
2021-09-09 16:34:14.380794 : Epoch  6, Batch   1664, Loss  0.855997, Average Loss  0.868428, Time  0.364913
2021-09-09 16:34:16.184780 : Epoch  6, Batch   1665, Loss  0.889202, Average Loss  0.868681, Time  0.375340
2021-09-09 16:34:17.946851 : Epoch  6, Batch   1666, Loss  0.885875, Average Loss  0.868704, Time  0.364213
2021-09-09 16:34:19.752780 : Epoch  6, Batch   1667, Loss  0.856790, Average Loss  0.868371, Time  0.371182
2021-09-09 16:34:21.554101 : Epoch  6, Batch   1668, Loss  0.886062, Average Loss  0.868564, Time  0.365217
2021-09-09 16:34:23.358776 : Epoch  6, Batch   1669, Loss  0.853949, Average Loss  0.868404, Time  0.374518
2021-09-09 16:34:25.138806 : Epoch  6, Batch   1670, Loss  0.849551, Average Loss  0.868298, Time  0.366139
2021-09-09 16:34:26.943778 : Epoch  6, Batch   1671, Loss  0.872739, Average Loss  0.868367, Time  0.367183
2021-09-09 16:34:28.719307 : Epoch  6, Batch   1672, Loss  0.891617, Average Loss  0.868453, Time  0.362546
2021-09-09 16:34:30.519100 : Epoch  6, Batch   1673, Loss  0.859427, Average Loss  0.868589, Time  0.376249
2021-09-09 16:34:32.314110 : Epoch  6, Batch   1674, Loss  0.890697, Average Loss  0.868600, Time  0.359075
2021-09-09 16:34:34.103772 : Epoch  6, Batch   1675, Loss  0.854401, Average Loss  0.868581, Time  0.367373
2021-09-09 16:34:35.895881 : Epoch  6, Batch   1676, Loss  0.854570, Average Loss  0.868373, Time  0.358623
2021-09-09 16:34:37.694808 : Epoch  6, Batch   1677, Loss  0.878104, Average Loss  0.868401, Time  0.367950
2021-09-09 16:34:39.472100 : Epoch  6, Batch   1678, Loss  0.852734, Average Loss  0.868257, Time  0.358016
2021-09-09 16:34:41.298767 : Epoch  6, Batch   1679, Loss  0.864027, Average Loss  0.868105, Time  0.372506
2021-09-09 16:34:43.076764 : Epoch  6, Batch   1680, Loss  0.890123, Average Loss  0.868158, Time  0.359689
2021-09-09 16:34:44.857900 : Epoch  6, Batch   1681, Loss  0.880875, Average Loss  0.868236, Time  0.371997
2021-09-09 16:34:46.651145 : Epoch  6, Batch   1682, Loss  0.873052, Average Loss  0.868214, Time  0.365817
2021-09-09 16:34:48.444101 : Epoch  6, Batch   1683, Loss  0.863507, Average Loss  0.868270, Time  0.367190
2021-09-09 16:34:50.233069 : Epoch  6, Batch   1684, Loss  0.888189, Average Loss  0.868219, Time  0.358870
2021-09-09 16:34:52.027125 : Epoch  6, Batch   1685, Loss  0.854158, Average Loss  0.868167, Time  0.377271
2021-09-09 16:34:53.814853 : Epoch  6, Batch   1686, Loss  0.923106, Average Loss  0.868506, Time  0.358428
2021-09-09 16:34:55.607891 : Epoch  6, Batch   1687, Loss  0.886506, Average Loss  0.868697, Time  0.370772
2021-09-09 16:34:57.386893 : Epoch  6, Batch   1688, Loss  0.833164, Average Loss  0.868518, Time  0.357935
2021-09-09 16:34:59.162635 : Epoch  6, Batch   1689, Loss  0.867794, Average Loss  0.868565, Time  0.372788
2021-09-09 16:35:00.951777 : Epoch  6, Batch   1690, Loss  0.851599, Average Loss  0.868466, Time  0.357770
2021-09-09 16:35:02.789106 : Epoch  6, Batch   1691, Loss  0.875984, Average Loss  0.868520, Time  0.374123
2021-09-09 16:35:04.569941 : Epoch  6, Batch   1692, Loss  0.865176, Average Loss  0.868506, Time  0.367414
2021-09-09 16:35:06.345110 : Epoch  6, Batch   1693, Loss  0.866864, Average Loss  0.868515, Time  0.376778
2021-09-09 16:35:08.102831 : Epoch  6, Batch   1694, Loss  0.855763, Average Loss  0.868414, Time  0.360672
2021-09-09 16:35:09.894764 : Epoch  6, Batch   1695, Loss  0.890271, Average Loss  0.868661, Time  0.373887
2021-09-09 16:35:11.664072 : Epoch  6, Batch   1696, Loss  0.866309, Average Loss  0.868521, Time  0.360465
2021-09-09 16:35:13.474098 : Epoch  6, Batch   1697, Loss  0.879494, Average Loss  0.868575, Time  0.368420
2021-09-09 16:35:15.251814 : Epoch  6, Batch   1698, Loss  0.851358, Average Loss  0.868465, Time  0.358242
2021-09-09 16:35:17.059115 : Epoch  6, Batch   1699, Loss  0.877008, Average Loss  0.868405, Time  0.376174
2021-09-09 16:35:18.844759 : Epoch  6, Batch   1700, Loss  0.870808, Average Loss  0.868371, Time  0.359188
2021-09-09 16:35:20.624857 : Epoch  6, Batch   1701, Loss  0.848099, Average Loss  0.868259, Time  0.371431
2021-09-09 16:35:22.387807 : Epoch  6, Batch   1702, Loss  0.867002, Average Loss  0.868274, Time  0.359008
2021-09-09 16:35:24.165897 : Epoch  6, Batch   1703, Loss  0.860760, Average Loss  0.868249, Time  0.378595
2021-09-09 16:35:25.954097 : Epoch  6, Batch   1704, Loss  0.858275, Average Loss  0.868126, Time  0.357301
2021-09-09 16:35:27.775779 : Epoch  6, Batch   1705, Loss  0.866866, Average Loss  0.868143, Time  0.374494
2021-09-09 16:35:29.559942 : Epoch  6, Batch   1706, Loss  0.891871, Average Loss  0.868212, Time  0.362669
2021-09-09 16:35:31.358118 : Epoch  6, Batch   1707, Loss  0.857989, Average Loss  0.868378, Time  0.385433
2021-09-09 16:35:33.159848 : Epoch  6, Batch   1708, Loss  0.858154, Average Loss  0.868335, Time  0.361130
2021-09-09 16:35:34.938303 : Epoch  6, Batch   1709, Loss  0.853550, Average Loss  0.868166, Time  0.367665
2021-09-09 16:35:36.729768 : Epoch  6, Batch   1710, Loss  0.878235, Average Loss  0.868350, Time  0.358520
2021-09-09 16:35:38.529893 : Epoch  6, Batch   1711, Loss  0.848553, Average Loss  0.868220, Time  0.367960
2021-09-09 16:35:40.332775 : Epoch  6, Batch   1712, Loss  0.828624, Average Loss  0.868155, Time  0.359649
2021-09-09 16:35:42.121715 : Epoch  6, Batch   1713, Loss  0.861405, Average Loss  0.868118, Time  0.369950
2021-09-09 16:35:43.876278 : Epoch  6, Batch   1714, Loss  0.842441, Average Loss  0.868154, Time  0.356535
2021-09-09 16:35:45.680813 : Epoch  6, Batch   1715, Loss  0.886846, Average Loss  0.868159, Time  0.382131
2021-09-09 16:35:47.478110 : Epoch  6, Batch   1716, Loss  0.863133, Average Loss  0.868181, Time  0.359579
2021-09-09 16:35:49.278777 : Epoch  6, Batch   1717, Loss  0.876685, Average Loss  0.868175, Time  0.390289
2021-09-09 16:35:51.058294 : Epoch  6, Batch   1718, Loss  0.875584, Average Loss  0.868205, Time  0.363708
2021-09-09 16:35:52.846434 : Epoch  6, Batch   1719, Loss  0.912977, Average Loss  0.868268, Time  0.374020
2021-09-09 16:35:54.644231 : Epoch  6, Batch   1720, Loss  0.858639, Average Loss  0.868274, Time  0.358097
2021-09-09 16:35:56.437775 : Epoch  6, Batch   1721, Loss  0.831785, Average Loss  0.868109, Time  0.366458
2021-09-09 16:35:58.226108 : Epoch  6, Batch   1722, Loss  0.884454, Average Loss  0.868115, Time  0.363718
2021-09-09 16:36:00.032773 : Epoch  6, Batch   1723, Loss  0.879567, Average Loss  0.868132, Time  0.369047
2021-09-09 16:36:01.816831 : Epoch  6, Batch   1724, Loss  0.852692, Average Loss  0.868218, Time  0.363887
2021-09-09 16:36:03.617763 : Epoch  6, Batch   1725, Loss  0.889120, Average Loss  0.868175, Time  0.366871
2021-09-09 16:36:05.401113 : Epoch  6, Batch   1726, Loss  0.826495, Average Loss  0.868062, Time  0.363764
2021-09-09 16:36:07.206768 : Epoch  6, Batch   1727, Loss  0.855305, Average Loss  0.867847, Time  0.379182
2021-09-09 16:36:08.998871 : Epoch  6, Batch   1728, Loss  0.854796, Average Loss  0.867858, Time  0.360079
2021-09-09 16:36:10.772836 : Epoch  6, Batch   1729, Loss  0.876098, Average Loss  0.867854, Time  0.368335
2021-09-09 16:36:12.553791 : Epoch  6, Batch   1730, Loss  0.863611, Average Loss  0.867811, Time  0.359149
2021-09-09 16:36:14.343778 : Epoch  6, Batch   1731, Loss  0.900437, Average Loss  0.868063, Time  0.369057
2021-09-09 16:36:16.130103 : Epoch  6, Batch   1732, Loss  0.853513, Average Loss  0.868010, Time  0.368676
2021-09-09 16:36:17.933776 : Epoch  6, Batch   1733, Loss  0.849495, Average Loss  0.867969, Time  0.378622
2021-09-09 16:36:19.717099 : Epoch  6, Batch   1734, Loss  0.884558, Average Loss  0.868081, Time  0.364365
2021-09-09 16:36:21.514889 : Epoch  6, Batch   1735, Loss  0.853675, Average Loss  0.867967, Time  0.365738
2021-09-09 16:36:23.316229 : Epoch  6, Batch   1736, Loss  0.884964, Average Loss  0.867915, Time  0.370890
2021-09-09 16:36:25.104134 : Epoch  6, Batch   1737, Loss  0.872029, Average Loss  0.867947, Time  0.376046
2021-09-09 16:36:26.881373 : Epoch  6, Batch   1738, Loss  0.865519, Average Loss  0.867950, Time  0.365703
2021-09-09 16:36:28.691938 : Epoch  6, Batch   1739, Loss  0.847343, Average Loss  0.867877, Time  0.378694
2021-09-09 16:36:30.490118 : Epoch  6, Batch   1740, Loss  0.835717, Average Loss  0.867625, Time  0.357835
2021-09-09 16:36:32.279848 : Epoch  6, Batch   1741, Loss  0.855067, Average Loss  0.867681, Time  0.362126
2021-09-09 16:36:34.059375 : Epoch  6, Batch   1742, Loss  0.849859, Average Loss  0.867457, Time  0.367456
2021-09-09 16:36:35.890099 : Epoch  6, Batch   1743, Loss  0.853104, Average Loss  0.867361, Time  0.387165
2021-09-09 16:36:37.666116 : Epoch  6, Batch   1744, Loss  0.859295, Average Loss  0.867314, Time  0.357249
2021-09-09 16:36:39.458228 : Epoch  6, Batch   1745, Loss  0.873566, Average Loss  0.867288, Time  0.365993
2021-09-09 16:41:28.253736 : CheckPoint: Validation Loss  0.00059076, Best Loss  0.00056427
2021-09-09 16:41:30.085773 : Epoch  6, Batch   1746, Loss  0.888402, Average Loss  0.867434, Time  0.408907
2021-09-09 16:41:31.865128 : Epoch  6, Batch   1747, Loss  0.887329, Average Loss  0.867564, Time  0.355219
2021-09-09 16:41:33.698773 : Epoch  6, Batch   1748, Loss  0.856538, Average Loss  0.867496, Time  0.394794
2021-09-09 16:41:35.471822 : Epoch  6, Batch   1749, Loss  0.880852, Average Loss  0.867498, Time  0.356664
2021-09-09 16:41:37.289762 : Epoch  6, Batch   1750, Loss  0.860565, Average Loss  0.867521, Time  0.367997
2021-09-09 16:41:39.091077 : Epoch  6, Batch   1751, Loss  0.882766, Average Loss  0.867639, Time  0.357205
2021-09-09 16:41:40.917760 : Epoch  6, Batch   1752, Loss  0.850815, Average Loss  0.867709, Time  0.362961
2021-09-09 16:41:42.714820 : Epoch  6, Batch   1753, Loss  0.847824, Average Loss  0.867568, Time  0.357240
2021-09-09 16:41:44.516975 : Epoch  6, Batch   1754, Loss  0.871144, Average Loss  0.867721, Time  0.371569
2021-09-09 16:41:46.282781 : Epoch  6, Batch   1755, Loss  0.895343, Average Loss  0.867858, Time  0.359239
2021-09-09 16:41:48.063401 : Epoch  6, Batch   1756, Loss  0.884345, Average Loss  0.867943, Time  0.375113
2021-09-09 16:41:49.843232 : Epoch  6, Batch   1757, Loss  0.854396, Average Loss  0.867854, Time  0.358579
2021-09-09 16:41:51.650837 : Epoch  6, Batch   1758, Loss  0.876237, Average Loss  0.867964, Time  0.371012
2021-09-09 16:41:53.440764 : Epoch  6, Batch   1759, Loss  0.871461, Average Loss  0.868004, Time  0.358324
2021-09-09 16:41:55.228073 : Epoch  6, Batch   1760, Loss  0.865539, Average Loss  0.868059, Time  0.373781
2021-09-09 16:41:57.000777 : Epoch  6, Batch   1761, Loss  0.865294, Average Loss  0.868047, Time  0.369842
2021-09-09 16:41:58.797771 : Epoch  6, Batch   1762, Loss  0.880599, Average Loss  0.868096, Time  0.382804
2021-09-09 16:42:00.577790 : Epoch  6, Batch   1763, Loss  0.894236, Average Loss  0.868488, Time  0.367642
2021-09-09 16:42:02.388763 : Epoch  6, Batch   1764, Loss  0.857064, Average Loss  0.868518, Time  0.376047
2021-09-09 16:42:04.156779 : Epoch  6, Batch   1765, Loss  0.852925, Average Loss  0.868393, Time  0.367554
2021-09-09 16:42:05.988772 : Epoch  6, Batch   1766, Loss  0.869901, Average Loss  0.868279, Time  0.383870
2021-09-09 16:42:07.813603 : Epoch  6, Batch   1767, Loss  0.851868, Average Loss  0.868089, Time  0.367526
2021-09-09 16:42:09.602775 : Epoch  6, Batch   1768, Loss  0.914198, Average Loss  0.868311, Time  0.364100
2021-09-09 16:42:11.406109 : Epoch  6, Batch   1769, Loss  0.868637, Average Loss  0.868269, Time  0.366226
2021-09-09 16:42:13.215775 : Epoch  6, Batch   1770, Loss  0.858393, Average Loss  0.868140, Time  0.377292
2021-09-09 16:42:15.017775 : Epoch  6, Batch   1771, Loss  0.885425, Average Loss  0.868277, Time  0.363178
2021-09-09 16:42:16.825770 : Epoch  6, Batch   1772, Loss  0.865530, Average Loss  0.868196, Time  0.378292
2021-09-09 16:42:18.603099 : Epoch  6, Batch   1773, Loss  0.873808, Average Loss  0.868261, Time  0.359683
2021-09-09 16:42:20.389227 : Epoch  6, Batch   1774, Loss  0.851398, Average Loss  0.868231, Time  0.371093
2021-09-09 16:42:22.164242 : Epoch  6, Batch   1775, Loss  0.834929, Average Loss  0.868046, Time  0.357724
2021-09-09 16:42:23.948352 : Epoch  6, Batch   1776, Loss  0.848861, Average Loss  0.867864, Time  0.382316
2021-09-09 16:42:25.709692 : Epoch  6, Batch   1777, Loss  0.837895, Average Loss  0.867718, Time  0.357062
2021-09-09 16:42:27.499779 : Epoch  6, Batch   1778, Loss  0.844607, Average Loss  0.867655, Time  0.384107
2021-09-09 16:42:29.290768 : Epoch  6, Batch   1779, Loss  0.875344, Average Loss  0.867762, Time  0.358420
2021-09-09 16:42:31.080775 : Epoch  6, Batch   1780, Loss  0.877626, Average Loss  0.867794, Time  0.369143
2021-09-09 16:42:32.860925 : Epoch  6, Batch   1781, Loss  0.871068, Average Loss  0.867857, Time  0.359486
2021-09-09 16:42:34.659773 : Epoch  6, Batch   1782, Loss  0.870319, Average Loss  0.868022, Time  0.367532
2021-09-09 16:42:36.452161 : Epoch  6, Batch   1783, Loss  0.852733, Average Loss  0.867932, Time  0.359204
2021-09-09 16:42:38.263109 : Epoch  6, Batch   1784, Loss  0.871294, Average Loss  0.867938, Time  0.374842
2021-09-09 16:42:40.074797 : Epoch  6, Batch   1785, Loss  0.862941, Average Loss  0.867942, Time  0.374937
2021-09-09 16:42:41.894937 : Epoch  6, Batch   1786, Loss  0.832403, Average Loss  0.867750, Time  0.365375
2021-09-09 16:42:43.710771 : Epoch  6, Batch   1787, Loss  0.866139, Average Loss  0.867787, Time  0.369057
2021-09-09 16:42:45.485776 : Epoch  6, Batch   1788, Loss  0.848969, Average Loss  0.867692, Time  0.373766
2021-09-09 16:42:47.272771 : Epoch  6, Batch   1789, Loss  0.858832, Average Loss  0.867509, Time  0.364314
2021-09-09 16:42:49.079114 : Epoch  6, Batch   1790, Loss  0.862630, Average Loss  0.867479, Time  0.366897
2021-09-09 16:42:50.865776 : Epoch  6, Batch   1791, Loss  0.879980, Average Loss  0.867573, Time  0.357084
2021-09-09 16:42:52.670152 : Epoch  6, Batch   1792, Loss  0.843156, Average Loss  0.867415, Time  0.366454
2021-09-09 16:42:54.467926 : Epoch  6, Batch   1793, Loss  0.861412, Average Loss  0.867356, Time  0.374130
2021-09-09 16:42:56.275105 : Epoch  6, Batch   1794, Loss  0.868764, Average Loss  0.867325, Time  0.384240
2021-09-09 16:42:58.057272 : Epoch  6, Batch   1795, Loss  0.869532, Average Loss  0.867341, Time  0.358601
2021-09-09 16:42:59.837451 : Epoch  6, Batch   1796, Loss  0.841701, Average Loss  0.867088, Time  0.367121
2021-09-09 16:43:01.621100 : Epoch  6, Batch   1797, Loss  0.906006, Average Loss  0.867358, Time  0.364557
2021-09-09 16:43:03.397294 : Epoch  6, Batch   1798, Loss  0.884187, Average Loss  0.867332, Time  0.375007
2021-09-09 16:43:05.162700 : Epoch  6, Batch   1799, Loss  0.904793, Average Loss  0.867554, Time  0.358547
2021-09-09 16:43:06.955761 : Epoch  6, Batch   1800, Loss  0.848378, Average Loss  0.867500, Time  0.375657
2021-09-09 16:43:08.740233 : Epoch  6, Batch   1801, Loss  0.867381, Average Loss  0.867390, Time  0.365003
2021-09-09 16:43:10.563777 : Epoch  6, Batch   1802, Loss  0.847355, Average Loss  0.867255, Time  0.384422
2021-09-09 16:43:12.364099 : Epoch  6, Batch   1803, Loss  0.844223, Average Loss  0.867213, Time  0.370802
2021-09-09 16:43:14.154106 : Epoch  6, Batch   1804, Loss  0.865167, Average Loss  0.867214, Time  0.367623
2021-09-09 16:43:15.926513 : Epoch  6, Batch   1805, Loss  0.854929, Average Loss  0.867161, Time  0.367476
2021-09-09 16:43:17.702102 : Epoch  6, Batch   1806, Loss  0.887412, Average Loss  0.867197, Time  0.373845
2021-09-09 16:43:19.478775 : Epoch  6, Batch   1807, Loss  0.876265, Average Loss  0.867232, Time  0.361401
2021-09-09 16:43:21.270094 : Epoch  6, Batch   1808, Loss  0.867975, Average Loss  0.867086, Time  0.382499
2021-09-09 16:43:23.043776 : Epoch  6, Batch   1809, Loss  0.869176, Average Loss  0.867077, Time  0.365058
2021-09-09 16:43:24.836602 : Epoch  6, Batch   1810, Loss  0.846559, Average Loss  0.866952, Time  0.371499
2021-09-09 16:43:26.608779 : Epoch  6, Batch   1811, Loss  0.853412, Average Loss  0.866859, Time  0.359106
2021-09-09 16:43:28.427831 : Epoch  6, Batch   1812, Loss  0.876820, Average Loss  0.866908, Time  0.371002
2021-09-09 16:43:30.213805 : Epoch  6, Batch   1813, Loss  0.849111, Average Loss  0.866855, Time  0.364608
2021-09-09 16:43:31.988111 : Epoch  6, Batch   1814, Loss  0.890993, Average Loss  0.867021, Time  0.369894
2021-09-09 16:43:33.757767 : Epoch  6, Batch   1815, Loss  0.867970, Average Loss  0.867058, Time  0.358801
2021-09-09 16:43:35.585968 : Epoch  6, Batch   1816, Loss  0.843476, Average Loss  0.867074, Time  0.383714
2021-09-09 16:43:37.386134 : Epoch  6, Batch   1817, Loss  0.852127, Average Loss  0.866903, Time  0.364014
2021-09-09 16:43:39.188837 : Epoch  6, Batch   1818, Loss  0.883647, Average Loss  0.866822, Time  0.372564
2021-09-09 16:43:40.989763 : Epoch  6, Batch   1819, Loss  0.860917, Average Loss  0.866696, Time  0.361084
2021-09-09 16:43:42.779113 : Epoch  6, Batch   1820, Loss  0.860780, Average Loss  0.866623, Time  0.363483
2021-09-09 16:43:44.564090 : Epoch  6, Batch   1821, Loss  0.864446, Average Loss  0.866662, Time  0.358848
2021-09-09 16:43:46.386089 : Epoch  6, Batch   1822, Loss  0.851458, Average Loss  0.866637, Time  0.372235
2021-09-09 16:43:48.157127 : Epoch  6, Batch   1823, Loss  0.883799, Average Loss  0.866794, Time  0.360775
2021-09-09 16:43:49.959115 : Epoch  6, Batch   1824, Loss  0.894703, Average Loss  0.866960, Time  0.371386
2021-09-09 16:43:51.731091 : Epoch  6, Batch   1825, Loss  0.882274, Average Loss  0.866871, Time  0.357783
2021-09-09 16:43:53.513225 : Epoch  6, Batch   1826, Loss  0.867376, Average Loss  0.866843, Time  0.369148
2021-09-09 16:43:55.289125 : Epoch  6, Batch   1827, Loss  0.862128, Average Loss  0.866908, Time  0.373496
2021-09-09 16:43:57.090118 : Epoch  6, Batch   1828, Loss  0.845535, Average Loss  0.866744, Time  0.368563
2021-09-09 16:43:58.879098 : Epoch  6, Batch   1829, Loss  0.865718, Average Loss  0.866772, Time  0.356575
2021-09-09 16:44:00.676720 : Epoch  6, Batch   1830, Loss  0.860080, Average Loss  0.866803, Time  0.364440
2021-09-09 16:44:02.525811 : Epoch  6, Batch   1831, Loss  0.846225, Average Loss  0.866836, Time  0.418667
2021-09-09 16:44:04.333103 : Epoch  6, Batch   1832, Loss  0.864133, Average Loss  0.866803, Time  0.364182
2021-09-09 16:44:06.145773 : Epoch  6, Batch   1833, Loss  0.868808, Average Loss  0.866954, Time  0.379935
2021-09-09 16:44:07.983100 : Epoch  6, Batch   1834, Loss  0.863547, Average Loss  0.866899, Time  0.412039
2021-09-09 16:44:09.766765 : Epoch  6, Batch   1835, Loss  0.878045, Average Loss  0.866914, Time  0.357870
2021-09-09 16:44:11.582775 : Epoch  6, Batch   1836, Loss  0.882376, Average Loss  0.866832, Time  0.398591
2021-09-09 16:44:13.463242 : Epoch  6, Batch   1837, Loss  0.888964, Average Loss  0.866869, Time  0.462622
2021-09-09 16:44:15.252099 : Epoch  6, Batch   1838, Loss  0.874522, Average Loss  0.866978, Time  0.361139
2021-09-09 16:44:17.013773 : Epoch  6, Batch   1839, Loss  0.883489, Average Loss  0.867078, Time  0.356138
2021-09-09 16:44:18.813106 : Epoch  6, Batch   1840, Loss  0.876967, Average Loss  0.867252, Time  0.389279
2021-09-09 16:44:20.700773 : Epoch  6, Batch   1841, Loss  0.889369, Average Loss  0.867207, Time  0.459183
2021-09-09 16:44:22.480331 : Epoch  6, Batch   1842, Loss  0.886271, Average Loss  0.867372, Time  0.355864
2021-09-09 16:44:24.277395 : Epoch  6, Batch   1843, Loss  0.857433, Average Loss  0.867303, Time  0.363887
2021-09-09 16:44:26.072777 : Epoch  6, Batch   1844, Loss  0.889526, Average Loss  0.867517, Time  0.377016
2021-09-09 16:44:27.947987 : Epoch  6, Batch   1845, Loss  0.867548, Average Loss  0.867531, Time  0.456423
2021-09-09 16:49:17.130716 : CheckPoint: Validation Loss  0.00059923, Best Loss  0.00056427
2021-09-09 16:49:18.996084 : Epoch  6, Batch   1846, Loss  0.882398, Average Loss  0.867846, Time  0.430496
2021-09-09 16:49:20.891764 : Epoch  6, Batch   1847, Loss  0.867240, Average Loss  0.867797, Time  0.451292
2021-09-09 16:49:22.674006 : Epoch  6, Batch   1848, Loss  0.870451, Average Loss  0.867593, Time  0.361185
2021-09-09 16:49:24.468779 : Epoch  6, Batch   1849, Loss  0.863510, Average Loss  0.867566, Time  0.362807
2021-09-09 16:49:26.253952 : Epoch  6, Batch   1850, Loss  0.875041, Average Loss  0.867422, Time  0.361931
2021-09-09 16:49:28.130775 : Epoch  6, Batch   1851, Loss  0.879978, Average Loss  0.867481, Time  0.458549
2021-09-09 16:49:29.905322 : Epoch  6, Batch   1852, Loss  0.865831, Average Loss  0.867401, Time  0.363307
2021-09-09 16:49:31.665113 : Epoch  6, Batch   1853, Loss  0.857938, Average Loss  0.867336, Time  0.354092
2021-09-09 16:49:33.510365 : Epoch  6, Batch   1854, Loss  0.856197, Average Loss  0.867214, Time  0.391473
2021-09-09 16:49:35.398112 : Epoch  6, Batch   1855, Loss  0.869423, Average Loss  0.867272, Time  0.456778
2021-09-09 16:49:37.170309 : Epoch  6, Batch   1856, Loss  0.907693, Average Loss  0.867519, Time  0.339402
2021-09-09 16:49:38.972878 : Epoch  6, Batch   1857, Loss  0.878051, Average Loss  0.867487, Time  0.356673
2021-09-09 16:49:40.775111 : Epoch  6, Batch   1858, Loss  0.882393, Average Loss  0.867697, Time  0.355772
2021-09-09 16:49:42.666777 : Epoch  6, Batch   1859, Loss  0.878870, Average Loss  0.867693, Time  0.451911
2021-09-09 16:49:44.499957 : Epoch  6, Batch   1860, Loss  0.842452, Average Loss  0.867486, Time  0.379289
2021-09-09 16:49:46.266823 : Epoch  6, Batch   1861, Loss  0.872164, Average Loss  0.867428, Time  0.366375
2021-09-09 16:49:48.057843 : Epoch  6, Batch   1862, Loss  0.876654, Average Loss  0.867458, Time  0.363690
2021-09-09 16:49:49.933291 : Epoch  6, Batch   1863, Loss  0.843920, Average Loss  0.867363, Time  0.463880
2021-09-09 16:49:51.829937 : Epoch  6, Batch   1864, Loss  0.874357, Average Loss  0.867455, Time  0.462256
2021-09-09 16:49:53.602734 : Epoch  6, Batch   1865, Loss  0.863394, Average Loss  0.867326, Time  0.365985
2021-09-09 16:49:55.391766 : Epoch  6, Batch   1866, Loss  0.859274, Average Loss  0.867193, Time  0.356437
2021-09-09 16:49:57.225761 : Epoch  6, Batch   1867, Loss  0.860684, Average Loss  0.867212, Time  0.409201
2021-09-09 16:49:59.114764 : Epoch  6, Batch   1868, Loss  0.847033, Average Loss  0.867017, Time  0.458557
2021-09-09 16:50:00.904801 : Epoch  6, Batch   1869, Loss  0.834627, Average Loss  0.866920, Time  0.349761
2021-09-09 16:50:02.680778 : Epoch  6, Batch   1870, Loss  0.885062, Average Loss  0.867098, Time  0.368627
2021-09-09 16:50:04.470777 : Epoch  6, Batch   1871, Loss  0.866016, Average Loss  0.867064, Time  0.372706
2021-09-09 16:50:06.365116 : Epoch  6, Batch   1872, Loss  0.878934, Average Loss  0.867001, Time  0.457729
2021-09-09 16:50:08.162763 : Epoch  6, Batch   1873, Loss  0.857536, Average Loss  0.866991, Time  0.378270
2021-09-09 16:50:09.923690 : Epoch  6, Batch   1874, Loss  0.858123, Average Loss  0.866829, Time  0.357789
2021-09-09 16:50:11.704781 : Epoch  6, Batch   1875, Loss  0.855831, Average Loss  0.866836, Time  0.374793
2021-09-09 16:50:13.574560 : Epoch  6, Batch   1876, Loss  0.850444, Average Loss  0.866815, Time  0.454745
2021-09-09 16:50:15.332777 : Epoch  6, Batch   1877, Loss  0.893665, Average Loss  0.866893, Time  0.359782
2021-09-09 16:50:17.143832 : Epoch  6, Batch   1878, Loss  0.872213, Average Loss  0.866990, Time  0.364971
2021-09-09 16:50:18.945778 : Epoch  6, Batch   1879, Loss  0.847657, Average Loss  0.866908, Time  0.381499
2021-09-09 16:50:20.830776 : Epoch  6, Batch   1880, Loss  0.851760, Average Loss  0.866717, Time  0.455103
2021-09-09 16:50:22.622108 : Epoch  6, Batch   1881, Loss  0.882467, Average Loss  0.866725, Time  0.362648
2021-09-09 16:50:24.415924 : Epoch  6, Batch   1882, Loss  0.853744, Average Loss  0.866628, Time  0.366447
2021-09-09 16:50:26.194768 : Epoch  6, Batch   1883, Loss  0.875209, Average Loss  0.866687, Time  0.370382
2021-09-09 16:50:28.072770 : Epoch  6, Batch   1884, Loss  0.890610, Average Loss  0.866699, Time  0.453506
2021-09-09 16:50:29.860132 : Epoch  6, Batch   1885, Loss  0.827743, Average Loss  0.866567, Time  0.366796
2021-09-09 16:50:31.639894 : Epoch  6, Batch   1886, Loss  0.884691, Average Loss  0.866374, Time  0.357148
2021-09-09 16:50:33.443108 : Epoch  6, Batch   1887, Loss  0.888260, Average Loss  0.866383, Time  0.376191
2021-09-09 16:50:35.296231 : Epoch  6, Batch   1888, Loss  0.858893, Average Loss  0.866512, Time  0.450873
2021-09-09 16:50:37.097773 : Epoch  6, Batch   1889, Loss  0.860914, Average Loss  0.866477, Time  0.357761
2021-09-09 16:50:38.915965 : Epoch  6, Batch   1890, Loss  0.853335, Average Loss  0.866486, Time  0.367556
2021-09-09 16:50:40.708765 : Epoch  6, Batch   1891, Loss  0.876185, Average Loss  0.866487, Time  0.362017
2021-09-09 16:50:42.579895 : Epoch  6, Batch   1892, Loss  0.877187, Average Loss  0.866547, Time  0.448430
2021-09-09 16:50:44.354928 : Epoch  6, Batch   1893, Loss  0.843011, Average Loss  0.866428, Time  0.355855
2021-09-09 16:50:46.125773 : Epoch  6, Batch   1894, Loss  0.867403, Average Loss  0.866486, Time  0.356905
2021-09-09 16:50:47.943107 : Epoch  6, Batch   1895, Loss  0.859568, Average Loss  0.866333, Time  0.396058
2021-09-09 16:50:49.839779 : Epoch  6, Batch   1896, Loss  0.885185, Average Loss  0.866427, Time  0.462672
2021-09-09 16:50:51.627220 : Epoch  6, Batch   1897, Loss  0.884560, Average Loss  0.866452, Time  0.348076
2021-09-09 16:50:53.390751 : Epoch  6, Batch   1898, Loss  0.874220, Average Loss  0.866567, Time  0.356026
2021-09-09 16:50:55.168089 : Epoch  6, Batch   1899, Loss  0.840707, Average Loss  0.866385, Time  0.355956
2021-09-09 16:50:57.029163 : Epoch  6, Batch   1900, Loss  0.874433, Average Loss  0.866403, Time  0.453015
2021-09-09 16:50:58.824105 : Epoch  6, Batch   1901, Loss  0.863311, Average Loss  0.866479, Time  0.371253
2021-09-09 16:51:00.584622 : Epoch  6, Batch   1902, Loss  0.878602, Average Loss  0.866537, Time  0.357342
2021-09-09 16:51:02.372099 : Epoch  6, Batch   1903, Loss  0.861626, Average Loss  0.866542, Time  0.366772
2021-09-09 16:51:04.256964 : Epoch  6, Batch   1904, Loss  0.890780, Average Loss  0.866704, Time  0.454963
2021-09-09 16:51:06.139104 : Epoch  6, Batch   1905, Loss  0.870287, Average Loss  0.866721, Time  0.445812
2021-09-09 16:51:07.948222 : Epoch  6, Batch   1906, Loss  0.876020, Average Loss  0.866642, Time  0.370832
2021-09-09 16:51:09.718139 : Epoch  6, Batch   1907, Loss  0.865305, Average Loss  0.866679, Time  0.358686
2021-09-09 16:51:11.542900 : Epoch  6, Batch   1908, Loss  0.857155, Average Loss  0.866674, Time  0.407675
2021-09-09 16:51:13.432129 : Epoch  6, Batch   1909, Loss  0.868941, Average Loss  0.866751, Time  0.460317
2021-09-09 16:51:15.197091 : Epoch  6, Batch   1910, Loss  0.882629, Average Loss  0.866773, Time  0.356469
2021-09-09 16:51:16.975764 : Epoch  6, Batch   1911, Loss  0.888257, Average Loss  0.866971, Time  0.357920
2021-09-09 16:51:18.819886 : Epoch  6, Batch   1912, Loss  0.879059, Average Loss  0.867223, Time  0.392476
2021-09-09 16:51:20.694781 : Epoch  6, Batch   1913, Loss  0.865110, Average Loss  0.867242, Time  0.454152
2021-09-09 16:51:22.463822 : Epoch  6, Batch   1914, Loss  0.857189, Average Loss  0.867316, Time  0.356944
2021-09-09 16:51:24.244773 : Epoch  6, Batch   1915, Loss  0.843360, Average Loss  0.867098, Time  0.362201
2021-09-09 16:51:26.048858 : Epoch  6, Batch   1916, Loss  0.868841, Average Loss  0.867127, Time  0.366411
2021-09-09 16:51:27.931775 : Epoch  6, Batch   1917, Loss  0.863991, Average Loss  0.867063, Time  0.457781
2021-09-09 16:51:29.711827 : Epoch  6, Batch   1918, Loss  0.887409, Average Loss  0.867122, Time  0.336738
2021-09-09 16:51:31.493772 : Epoch  6, Batch   1919, Loss  0.880758, Average Loss  0.866961, Time  0.360951
2021-09-09 16:51:33.298967 : Epoch  6, Batch   1920, Loss  0.871861, Average Loss  0.867027, Time  0.361276
2021-09-09 16:51:35.159779 : Epoch  6, Batch   1921, Loss  0.838153, Average Loss  0.867059, Time  0.457046
2021-09-09 16:51:36.932591 : Epoch  6, Batch   1922, Loss  0.838588, Average Loss  0.866830, Time  0.366681
2021-09-09 16:51:38.719776 : Epoch  6, Batch   1923, Loss  0.884430, Average Loss  0.866854, Time  0.365582
2021-09-09 16:51:40.519104 : Epoch  6, Batch   1924, Loss  0.884032, Average Loss  0.867011, Time  0.389599
2021-09-09 16:51:42.415068 : Epoch  6, Batch   1925, Loss  0.845055, Average Loss  0.866790, Time  0.456118
2021-09-09 16:51:44.219097 : Epoch  6, Batch   1926, Loss  0.864404, Average Loss  0.866980, Time  0.372848
2021-09-09 16:51:46.030780 : Epoch  6, Batch   1927, Loss  0.867764, Average Loss  0.867042, Time  0.362120
2021-09-09 16:51:47.805106 : Epoch  6, Batch   1928, Loss  0.871504, Average Loss  0.867126, Time  0.358291
2021-09-09 16:51:49.696776 : Epoch  6, Batch   1929, Loss  0.874467, Average Loss  0.867118, Time  0.462330
2021-09-09 16:51:51.527796 : Epoch  6, Batch   1930, Loss  0.850931, Average Loss  0.867054, Time  0.373223
2021-09-09 16:51:53.342773 : Epoch  6, Batch   1931, Loss  0.856754, Average Loss  0.866836, Time  0.358123
2021-09-09 16:51:55.137099 : Epoch  6, Batch   1932, Loss  0.870864, Average Loss  0.866923, Time  0.361980
2021-09-09 16:51:57.032774 : Epoch  6, Batch   1933, Loss  0.873930, Average Loss  0.867045, Time  0.455498
2021-09-09 16:51:58.916105 : Epoch  6, Batch   1934, Loss  0.870209, Average Loss  0.866973, Time  0.460832
2021-09-09 16:52:00.693861 : Epoch  6, Batch   1935, Loss  0.910924, Average Loss  0.867259, Time  0.373778
2021-09-09 16:52:02.506826 : Epoch  6, Batch   1936, Loss  0.844380, Average Loss  0.867056, Time  0.366807
2021-09-09 16:52:04.316778 : Epoch  6, Batch   1937, Loss  0.849135, Average Loss  0.866942, Time  0.382088
2021-09-09 16:52:06.186232 : Epoch  6, Batch   1938, Loss  0.847316, Average Loss  0.866851, Time  0.463309
2021-09-09 16:52:07.973769 : Epoch  6, Batch   1939, Loss  0.858322, Average Loss  0.866906, Time  0.375277
2021-09-09 16:52:09.754236 : Epoch  6, Batch   1940, Loss  0.855901, Average Loss  0.867007, Time  0.363797
2021-09-09 16:52:11.579771 : Epoch  6, Batch   1941, Loss  0.868840, Average Loss  0.867076, Time  0.384876
2021-09-09 16:52:13.458098 : Epoch  6, Batch   1942, Loss  0.852109, Average Loss  0.867087, Time  0.452756
2021-09-09 16:52:15.242770 : Epoch  6, Batch   1943, Loss  0.866691, Average Loss  0.867155, Time  0.357646
2021-09-09 16:52:17.039107 : Epoch  6, Batch   1944, Loss  0.893934, Average Loss  0.867328, Time  0.357808
2021-09-09 16:52:18.886770 : Epoch  6, Batch   1945, Loss  0.864826, Average Loss  0.867284, Time  0.393673
2021-09-09 16:57:08.638708 : CheckPoint: Validation Loss  0.00059966, Best Loss  0.00056427
2021-09-09 16:57:10.506765 : Epoch  6, Batch   1946, Loss  0.859909, Average Loss  0.867142, Time  0.431890
2021-09-09 16:57:12.310774 : Epoch  6, Batch   1947, Loss  0.872981, Average Loss  0.867070, Time  0.370475
2021-09-09 16:57:14.111822 : Epoch  6, Batch   1948, Loss  0.874480, Average Loss  0.867160, Time  0.375466
2021-09-09 16:57:15.948896 : Epoch  6, Batch   1949, Loss  0.859640, Average Loss  0.867054, Time  0.422766
2021-09-09 16:57:17.794781 : Epoch  6, Batch   1950, Loss  0.885879, Average Loss  0.867180, Time  0.447609
2021-09-09 16:57:19.573050 : Epoch  6, Batch   1951, Loss  0.847951, Average Loss  0.867006, Time  0.359999
2021-09-09 16:57:21.381769 : Epoch  6, Batch   1952, Loss  0.862511, Average Loss  0.867065, Time  0.374460
2021-09-09 16:57:23.207117 : Epoch  6, Batch   1953, Loss  0.888003, Average Loss  0.867266, Time  0.405378
2021-09-09 16:57:25.114105 : Epoch  6, Batch   1954, Loss  0.875352, Average Loss  0.867287, Time  0.457037
2021-09-09 16:57:26.887519 : Epoch  6, Batch   1955, Loss  0.872333, Average Loss  0.867172, Time  0.343419
2021-09-09 16:57:28.682979 : Epoch  6, Batch   1956, Loss  0.862705, Average Loss  0.867063, Time  0.357655
2021-09-09 16:57:30.445480 : Epoch  6, Batch   1957, Loss  0.885988, Average Loss  0.867221, Time  0.355543
2021-09-09 16:57:32.324810 : Epoch  6, Batch   1958, Loss  0.872851, Average Loss  0.867204, Time  0.457866
2021-09-09 16:57:34.193103 : Epoch  6, Batch   1959, Loss  0.839743, Average Loss  0.867046, Time  0.426611
2021-09-09 16:57:35.976095 : Epoch  6, Batch   1960, Loss  0.871749, Average Loss  0.867077, Time  0.361249
2021-09-09 16:57:37.798763 : Epoch  6, Batch   1961, Loss  0.885703, Average Loss  0.867179, Time  0.365959
2021-09-09 16:57:39.644813 : Epoch  6, Batch   1962, Loss  0.869435, Average Loss  0.867123, Time  0.416988
2021-09-09 16:57:41.541776 : Epoch  6, Batch   1963, Loss  0.860621, Average Loss  0.866955, Time  0.459666
2021-09-09 16:57:43.345761 : Epoch  6, Batch   1964, Loss  0.869052, Average Loss  0.867015, Time  0.346867
2021-09-09 16:57:45.122762 : Epoch  6, Batch   1965, Loss  0.840345, Average Loss  0.866952, Time  0.355666
2021-09-09 16:57:46.909770 : Epoch  6, Batch   1966, Loss  0.881042, Average Loss  0.867008, Time  0.357270
2021-09-09 16:57:48.788559 : Epoch  6, Batch   1967, Loss  0.893890, Average Loss  0.867218, Time  0.463272
2021-09-09 16:57:50.536773 : Epoch  6, Batch   1968, Loss  0.881066, Average Loss  0.867052, Time  0.349874
2021-09-09 16:57:52.334775 : Epoch  6, Batch   1969, Loss  0.875196, Average Loss  0.867085, Time  0.362925
2021-09-09 16:57:54.133929 : Epoch  6, Batch   1970, Loss  0.851768, Average Loss  0.867052, Time  0.370214
2021-09-09 16:57:56.028772 : Epoch  6, Batch   1971, Loss  0.851707, Average Loss  0.866883, Time  0.452348
2021-09-09 16:57:57.807886 : Epoch  6, Batch   1972, Loss  0.844130, Average Loss  0.866776, Time  0.355197
2021-09-09 16:57:59.589064 : Epoch  6, Batch   1973, Loss  0.863555, Average Loss  0.866725, Time  0.357815
2021-09-09 16:58:01.363441 : Epoch  6, Batch   1974, Loss  0.875605, Average Loss  0.866846, Time  0.362833
2021-09-09 16:58:03.267246 : Epoch  6, Batch   1975, Loss  0.854961, Average Loss  0.866946, Time  0.450999
2021-09-09 16:58:05.135731 : Epoch  6, Batch   1976, Loss  0.886435, Average Loss  0.867134, Time  0.415230
2021-09-09 16:58:06.913770 : Epoch  6, Batch   1977, Loss  0.879935, Average Loss  0.867344, Time  0.358988
2021-09-09 16:58:08.674406 : Epoch  6, Batch   1978, Loss  0.853672, Average Loss  0.867390, Time  0.356445
2021-09-09 16:58:10.557479 : Epoch  6, Batch   1979, Loss  0.856714, Average Loss  0.867296, Time  0.454443
2021-09-09 16:58:12.419787 : Epoch  6, Batch   1980, Loss  0.882509, Average Loss  0.867321, Time  0.449646
2021-09-09 16:58:14.195096 : Epoch  6, Batch   1981, Loss  0.893994, Average Loss  0.867436, Time  0.364353
2021-09-09 16:58:15.976778 : Epoch  6, Batch   1982, Loss  0.839704, Average Loss  0.867282, Time  0.361428
2021-09-09 16:58:17.808918 : Epoch  6, Batch   1983, Loss  0.883713, Average Loss  0.867437, Time  0.404755
2021-09-09 16:58:19.716774 : Epoch  6, Batch   1984, Loss  0.874308, Average Loss  0.867452, Time  0.468963
2021-09-09 16:58:21.579783 : Epoch  6, Batch   1985, Loss  0.853905, Average Loss  0.867407, Time  0.409586
2021-09-09 16:58:23.393985 : Epoch  6, Batch   1986, Loss  0.848291, Average Loss  0.867487, Time  0.357561
2021-09-09 16:58:25.224507 : Epoch  6, Batch   1987, Loss  0.861302, Average Loss  0.867462, Time  0.365600
2021-09-09 16:58:27.057815 : Epoch  6, Batch   1988, Loss  0.888573, Average Loss  0.867661, Time  0.427595
2021-09-09 16:58:28.928109 : Epoch  6, Batch   1989, Loss  0.882639, Average Loss  0.867780, Time  0.453224
2021-09-09 16:58:30.755785 : Epoch  6, Batch   1990, Loss  0.863630, Average Loss  0.867785, Time  0.357223
2021-09-09 16:58:32.551987 : Epoch  6, Batch   1991, Loss  0.877140, Average Loss  0.867770, Time  0.357092
2021-09-09 16:58:34.365771 : Epoch  6, Batch   1992, Loss  0.872895, Average Loss  0.867919, Time  0.377812
2021-09-09 16:58:36.276780 : Epoch  6, Batch   1993, Loss  0.886232, Average Loss  0.868043, Time  0.470038
2021-09-09 16:58:38.130777 : Epoch  6, Batch   1994, Loss  0.887131, Average Loss  0.868135, Time  0.416528
2021-09-09 16:58:39.923772 : Epoch  6, Batch   1995, Loss  0.871064, Average Loss  0.868143, Time  0.364685
2021-09-09 16:58:41.756764 : Epoch  6, Batch   1996, Loss  0.862264, Average Loss  0.868245, Time  0.370509
2021-09-09 16:58:43.619763 : Epoch  6, Batch   1997, Loss  0.896256, Average Loss  0.868197, Time  0.435355
2021-09-09 16:58:45.496762 : Epoch  6, Batch   1998, Loss  0.850178, Average Loss  0.868027, Time  0.459876
2021-09-09 16:58:47.310788 : Epoch  6, Batch   1999, Loss  0.888210, Average Loss  0.867944, Time  0.362420
2021-09-09 16:58:49.113815 : Epoch  6, Batch   2000, Loss  0.859013, Average Loss  0.867997, Time  0.360610
2021-09-09 16:58:50.908466 : Epoch  6, Batch   2001, Loss  0.875801, Average Loss  0.868039, Time  0.377221
2021-09-09 16:58:52.790956 : Epoch  6, Batch   2002, Loss  0.870168, Average Loss  0.868153, Time  0.452907
2021-09-09 16:58:54.583454 : Epoch  6, Batch   2003, Loss  0.833024, Average Loss  0.868097, Time  0.358139
2021-09-09 16:58:56.349130 : Epoch  6, Batch   2004, Loss  0.867873, Average Loss  0.868111, Time  0.359000
2021-09-09 16:58:58.143931 : Epoch  6, Batch   2005, Loss  0.872733, Average Loss  0.868200, Time  0.383708
2021-09-09 16:59:00.053796 : Epoch  6, Batch   2006, Loss  0.851554, Average Loss  0.868020, Time  0.455368
2021-09-09 16:59:01.882783 : Epoch  6, Batch   2007, Loss  0.880031, Average Loss  0.868039, Time  0.376218
2021-09-09 16:59:03.688679 : Epoch  6, Batch   2008, Loss  0.859536, Average Loss  0.867997, Time  0.360270
2021-09-09 16:59:05.492129 : Epoch  6, Batch   2009, Loss  0.835005, Average Loss  0.867826, Time  0.357963
2021-09-09 16:59:07.395780 : Epoch  6, Batch   2010, Loss  0.851957, Average Loss  0.867853, Time  0.448777
2021-09-09 16:59:09.182566 : Epoch  6, Batch   2011, Loss  0.882007, Average Loss  0.867996, Time  0.357712
2021-09-09 16:59:10.974773 : Epoch  6, Batch   2012, Loss  0.828944, Average Loss  0.867757, Time  0.359111
2021-09-09 16:59:12.777410 : Epoch  6, Batch   2013, Loss  0.873308, Average Loss  0.867878, Time  0.369240
2021-09-09 16:59:14.659776 : Epoch  6, Batch   2014, Loss  0.844309, Average Loss  0.867644, Time  0.465641
2021-09-09 16:59:16.456229 : Epoch  6, Batch   2015, Loss  0.854377, Average Loss  0.867576, Time  0.342961
2021-09-09 16:59:18.253871 : Epoch  6, Batch   2016, Loss  0.851641, Average Loss  0.867617, Time  0.356663
2021-09-09 16:59:20.061102 : Epoch  6, Batch   2017, Loss  0.844385, Average Loss  0.867578, Time  0.361286
2021-09-09 16:59:21.957109 : Epoch  6, Batch   2018, Loss  0.874041, Average Loss  0.867530, Time  0.449902
2021-09-09 16:59:23.815693 : Epoch  6, Batch   2019, Loss  0.880860, Average Loss  0.867630, Time  0.428840
2021-09-09 16:59:25.590098 : Epoch  6, Batch   2020, Loss  0.877364, Average Loss  0.867713, Time  0.359493
2021-09-09 16:59:27.384778 : Epoch  6, Batch   2021, Loss  0.873810, Average Loss  0.867760, Time  0.373384
2021-09-09 16:59:29.262761 : Epoch  6, Batch   2022, Loss  0.844929, Average Loss  0.867727, Time  0.435497
2021-09-09 16:59:31.146801 : Epoch  6, Batch   2023, Loss  0.893910, Average Loss  0.867778, Time  0.457454
2021-09-09 16:59:32.926920 : Epoch  6, Batch   2024, Loss  0.865161, Average Loss  0.867630, Time  0.355204
2021-09-09 16:59:34.737818 : Epoch  6, Batch   2025, Loss  0.869452, Average Loss  0.867566, Time  0.355961
2021-09-09 16:59:36.542134 : Epoch  6, Batch   2026, Loss  0.887973, Average Loss  0.867669, Time  0.378221
2021-09-09 16:59:38.416770 : Epoch  6, Batch   2027, Loss  0.902623, Average Loss  0.867871, Time  0.468537
2021-09-09 16:59:40.184762 : Epoch  6, Batch   2028, Loss  0.876359, Average Loss  0.868026, Time  0.356441
2021-09-09 16:59:41.969777 : Epoch  6, Batch   2029, Loss  0.868782, Average Loss  0.868041, Time  0.358991
2021-09-09 16:59:43.785995 : Epoch  6, Batch   2030, Loss  0.874847, Average Loss  0.868115, Time  0.397173
2021-09-09 16:59:45.675096 : Epoch  6, Batch   2031, Loss  0.874924, Average Loss  0.868258, Time  0.451991
2021-09-09 16:59:47.478759 : Epoch  6, Batch   2032, Loss  0.841165, Average Loss  0.868143, Time  0.356128
2021-09-09 16:59:49.279762 : Epoch  6, Batch   2033, Loss  0.855729, Average Loss  0.868078, Time  0.357246
2021-09-09 16:59:51.103780 : Epoch  6, Batch   2034, Loss  0.895470, Average Loss  0.868238, Time  0.373290
2021-09-09 16:59:52.993791 : Epoch  6, Batch   2035, Loss  0.843884, Average Loss  0.868067, Time  0.453574
2021-09-09 16:59:54.765776 : Epoch  6, Batch   2036, Loss  0.881896, Average Loss  0.868064, Time  0.336294
2021-09-09 16:59:56.571771 : Epoch  6, Batch   2037, Loss  0.879882, Average Loss  0.868019, Time  0.369154
2021-09-09 16:59:58.341806 : Epoch  6, Batch   2038, Loss  0.842690, Average Loss  0.867860, Time  0.357064
2021-09-09 17:00:00.213849 : Epoch  6, Batch   2039, Loss  0.854563, Average Loss  0.867715, Time  0.453637
2021-09-09 17:00:02.024767 : Epoch  6, Batch   2040, Loss  0.869157, Average Loss  0.867676, Time  0.371167
2021-09-09 17:00:03.798928 : Epoch  6, Batch   2041, Loss  0.869640, Average Loss  0.867577, Time  0.360932
2021-09-09 17:00:05.586764 : Epoch  6, Batch   2042, Loss  0.857374, Average Loss  0.867433, Time  0.372123
2021-09-09 17:00:07.460761 : Epoch  6, Batch   2043, Loss  0.879285, Average Loss  0.867542, Time  0.453737
2021-09-09 17:00:09.280770 : Epoch  6, Batch   2044, Loss  0.862715, Average Loss  0.867408, Time  0.361104
2021-09-09 17:00:11.073099 : Epoch  6, Batch   2045, Loss  0.885318, Average Loss  0.867497, Time  0.371605
2021-09-09 17:05:02.332718 : CheckPoint: Validation Loss  0.00060040, Best Loss  0.00056427
2021-09-09 17:05:04.206769 : Epoch  6, Batch   2046, Loss  0.881198, Average Loss  0.867491, Time  0.425734
2021-09-09 17:05:06.031761 : Epoch  6, Batch   2047, Loss  0.868485, Average Loss  0.867497, Time  0.377350
2021-09-09 17:05:07.803778 : Epoch  6, Batch   2048, Loss  0.822436, Average Loss  0.867257, Time  0.358443
2021-09-09 17:05:09.667819 : Epoch  6, Batch   2049, Loss  0.856463, Average Loss  0.867222, Time  0.419745
2021-09-09 17:05:11.556776 : Epoch  6, Batch   2050, Loss  0.908040, Average Loss  0.867387, Time  0.453637
2021-09-09 17:05:13.368776 : Epoch  6, Batch   2051, Loss  0.870417, Average Loss  0.867339, Time  0.358423
2021-09-09 17:05:15.199779 : Epoch  6, Batch   2052, Loss  0.838843, Average Loss  0.867204, Time  0.357280
2021-09-09 17:05:17.010867 : Epoch  6, Batch   2053, Loss  0.860444, Average Loss  0.867217, Time  0.355180
2021-09-09 17:05:18.907085 : Epoch  6, Batch   2054, Loss  0.840732, Average Loss  0.867139, Time  0.451819
2021-09-09 17:05:20.692765 : Epoch  6, Batch   2055, Loss  0.902103, Average Loss  0.867303, Time  0.349580
2021-09-09 17:05:22.487904 : Epoch  6, Batch   2056, Loss  0.867656, Average Loss  0.867103, Time  0.356502
2021-09-09 17:05:24.263765 : Epoch  6, Batch   2057, Loss  0.899028, Average Loss  0.867207, Time  0.363591
2021-09-09 17:05:26.163219 : Epoch  6, Batch   2058, Loss  0.882626, Average Loss  0.867209, Time  0.452935
2021-09-09 17:05:27.949782 : Epoch  6, Batch   2059, Loss  0.849521, Average Loss  0.867062, Time  0.358783
2021-09-09 17:05:29.758071 : Epoch  6, Batch   2060, Loss  0.856525, Average Loss  0.867132, Time  0.357238
2021-09-09 17:05:31.580783 : Epoch  6, Batch   2061, Loss  0.885148, Average Loss  0.867197, Time  0.367656
2021-09-09 17:05:33.485780 : Epoch  6, Batch   2062, Loss  0.853869, Average Loss  0.867083, Time  0.452531
2021-09-09 17:05:35.251229 : Epoch  6, Batch   2063, Loss  0.875468, Average Loss  0.867241, Time  0.335975
2021-09-09 17:05:37.075822 : Epoch  6, Batch   2064, Loss  0.861322, Average Loss  0.867176, Time  0.357675
2021-09-09 17:05:38.918949 : Epoch  6, Batch   2065, Loss  0.855678, Average Loss  0.867137, Time  0.355797
2021-09-09 17:05:40.830077 : Epoch  6, Batch   2066, Loss  0.880284, Average Loss  0.867242, Time  0.450871
2021-09-09 17:05:42.729901 : Epoch  6, Batch   2067, Loss  0.848328, Average Loss  0.867181, Time  0.439209
2021-09-09 17:05:44.551778 : Epoch  6, Batch   2068, Loss  0.858052, Average Loss  0.867236, Time  0.359671
2021-09-09 17:05:46.348080 : Epoch  6, Batch   2069, Loss  0.841743, Average Loss  0.867271, Time  0.356559
2021-09-09 17:05:48.210084 : Epoch  6, Batch   2070, Loss  0.880245, Average Loss  0.867247, Time  0.405038
2021-09-09 17:05:50.119764 : Epoch  6, Batch   2071, Loss  0.900361, Average Loss  0.867419, Time  0.449539
2021-09-09 17:05:51.949780 : Epoch  6, Batch   2072, Loss  0.886561, Average Loss  0.867457, Time  0.371514
2021-09-09 17:05:53.719768 : Epoch  6, Batch   2073, Loss  0.876457, Average Loss  0.867552, Time  0.360598
2021-09-09 17:05:55.510547 : Epoch  6, Batch   2074, Loss  0.861946, Average Loss  0.867571, Time  0.358799
2021-09-09 17:05:57.420918 : Epoch  6, Batch   2075, Loss  0.889889, Average Loss  0.867741, Time  0.451507
2021-09-09 17:05:59.303835 : Epoch  6, Batch   2076, Loss  0.874669, Average Loss  0.867862, Time  0.447756
2021-09-09 17:06:01.103066 : Epoch  6, Batch   2077, Loss  0.889037, Average Loss  0.867839, Time  0.359074
2021-09-09 17:06:02.948772 : Epoch  6, Batch   2078, Loss  0.865276, Average Loss  0.867804, Time  0.367520
2021-09-09 17:06:04.841235 : Epoch  6, Batch   2079, Loss  0.861792, Average Loss  0.867875, Time  0.370589
2021-09-09 17:06:06.724762 : Epoch  6, Batch   2080, Loss  0.861928, Average Loss  0.867926, Time  0.453425
2021-09-09 17:06:08.525930 : Epoch  6, Batch   2081, Loss  0.869397, Average Loss  0.867860, Time  0.356150
2021-09-09 17:06:10.340763 : Epoch  6, Batch   2082, Loss  0.872901, Average Loss  0.867956, Time  0.357310
2021-09-09 17:06:12.157082 : Epoch  6, Batch   2083, Loss  0.894897, Average Loss  0.868055, Time  0.359485
2021-09-09 17:06:14.064074 : Epoch  6, Batch   2084, Loss  0.876274, Average Loss  0.867983, Time  0.449941
2021-09-09 17:06:15.929181 : Epoch  6, Batch   2085, Loss  0.877202, Average Loss  0.868230, Time  0.403673
2021-09-09 17:06:17.726844 : Epoch  6, Batch   2086, Loss  0.838342, Average Loss  0.867999, Time  0.363163
2021-09-09 17:06:19.503547 : Epoch  6, Batch   2087, Loss  0.855692, Average Loss  0.867836, Time  0.358962
2021-09-09 17:06:21.386774 : Epoch  6, Batch   2088, Loss  0.895924, Average Loss  0.868021, Time  0.435939
2021-09-09 17:06:23.302064 : Epoch  6, Batch   2089, Loss  0.889000, Average Loss  0.868161, Time  0.451074
2021-09-09 17:06:25.128779 : Epoch  6, Batch   2090, Loss  0.837767, Average Loss  0.868083, Time  0.366177
2021-09-09 17:06:26.943854 : Epoch  6, Batch   2091, Loss  0.872452, Average Loss  0.868065, Time  0.356884
2021-09-09 17:06:28.742778 : Epoch  6, Batch   2092, Loss  0.854232, Average Loss  0.867950, Time  0.361228
2021-09-09 17:06:30.634779 : Epoch  6, Batch   2093, Loss  0.865237, Average Loss  0.868061, Time  0.462805
2021-09-09 17:06:32.552373 : Epoch  6, Batch   2094, Loss  0.902409, Average Loss  0.868236, Time  0.458582
2021-09-09 17:06:34.350769 : Epoch  6, Batch   2095, Loss  0.854627, Average Loss  0.868211, Time  0.364527
2021-09-09 17:06:36.159052 : Epoch  6, Batch   2096, Loss  0.833677, Average Loss  0.867954, Time  0.359842
2021-09-09 17:06:37.957554 : Epoch  6, Batch   2097, Loss  0.872733, Average Loss  0.867895, Time  0.369559
2021-09-09 17:06:39.834813 : Epoch  6, Batch   2098, Loss  0.869288, Average Loss  0.867870, Time  0.456576
2021-09-09 17:06:41.628964 : Epoch  6, Batch   2099, Loss  0.856224, Average Loss  0.867948, Time  0.355521
2021-09-09 17:06:43.438709 : Epoch  6, Batch   2100, Loss  0.870533, Average Loss  0.867928, Time  0.357733
2021-09-09 17:06:45.258104 : Epoch  6, Batch   2101, Loss  0.865437, Average Loss  0.867939, Time  0.368124
2021-09-09 17:06:47.169142 : Epoch  6, Batch   2102, Loss  0.892979, Average Loss  0.868011, Time  0.458909
2021-09-09 17:06:49.042786 : Epoch  6, Batch   2103, Loss  0.912763, Average Loss  0.868266, Time  0.418947
2021-09-09 17:06:50.815775 : Epoch  6, Batch   2104, Loss  0.844235, Average Loss  0.868034, Time  0.361057
2021-09-09 17:06:52.599076 : Epoch  6, Batch   2105, Loss  0.863223, Average Loss  0.867998, Time  0.358174
2021-09-09 17:06:54.486780 : Epoch  6, Batch   2106, Loss  0.892958, Average Loss  0.868083, Time  0.439178
2021-09-09 17:06:56.397952 : Epoch  6, Batch   2107, Loss  0.859266, Average Loss  0.868053, Time  0.458688
2021-09-09 17:06:58.279656 : Epoch  6, Batch   2108, Loss  0.897313, Average Loss  0.868254, Time  0.412271
2021-09-09 17:07:00.046630 : Epoch  6, Batch   2109, Loss  0.835950, Average Loss  0.868089, Time  0.358788
2021-09-09 17:07:01.853767 : Epoch  6, Batch   2110, Loss  0.859250, Average Loss  0.867972, Time  0.359787
2021-09-09 17:07:03.758987 : Epoch  6, Batch   2111, Loss  0.823438, Average Loss  0.867648, Time  0.439646
2021-09-09 17:07:05.730790 : Epoch  6, Batch   2112, Loss  0.866539, Average Loss  0.867585, Time  0.454115
2021-09-09 17:07:07.580897 : Epoch  6, Batch   2113, Loss  0.897822, Average Loss  0.867749, Time  0.421119
2021-09-09 17:07:09.383910 : Epoch  6, Batch   2114, Loss  0.857390, Average Loss  0.867750, Time  0.357657
2021-09-09 17:07:11.202574 : Epoch  6, Batch   2115, Loss  0.873344, Average Loss  0.867900, Time  0.370068
2021-09-09 17:07:13.059996 : Epoch  6, Batch   2116, Loss  0.878198, Average Loss  0.867946, Time  0.417292
2021-09-09 17:07:14.957921 : Epoch  6, Batch   2117, Loss  0.868208, Average Loss  0.867967, Time  0.451427
2021-09-09 17:07:16.751776 : Epoch  6, Batch   2118, Loss  0.878425, Average Loss  0.867923, Time  0.356145
2021-09-09 17:07:18.560322 : Epoch  6, Batch   2119, Loss  0.870432, Average Loss  0.867871, Time  0.363808
2021-09-09 17:07:20.350781 : Epoch  6, Batch   2120, Loss  0.879802, Average Loss  0.867911, Time  0.371415
2021-09-09 17:07:22.278065 : Epoch  6, Batch   2121, Loss  0.887929, Average Loss  0.868160, Time  0.451367
2021-09-09 17:07:24.070777 : Epoch  6, Batch   2122, Loss  0.807023, Average Loss  0.868002, Time  0.377048
2021-09-09 17:07:25.857093 : Epoch  6, Batch   2123, Loss  0.858351, Average Loss  0.867871, Time  0.360112
2021-09-09 17:07:27.643491 : Epoch  6, Batch   2124, Loss  0.902167, Average Loss  0.867962, Time  0.356564
2021-09-09 17:07:29.554179 : Epoch  6, Batch   2125, Loss  0.869204, Average Loss  0.868083, Time  0.451555
2021-09-09 17:07:31.470765 : Epoch  6, Batch   2126, Loss  0.888761, Average Loss  0.868204, Time  0.450954
2021-09-09 17:07:33.250093 : Epoch  6, Batch   2127, Loss  0.856447, Average Loss  0.868148, Time  0.358721
2021-09-09 17:07:35.045778 : Epoch  6, Batch   2128, Loss  0.898420, Average Loss  0.868282, Time  0.361396
2021-09-09 17:07:36.868817 : Epoch  6, Batch   2129, Loss  0.845054, Average Loss  0.868135, Time  0.395794
2021-09-09 17:07:38.765776 : Epoch  6, Batch   2130, Loss  0.814465, Average Loss  0.867953, Time  0.451926
2021-09-09 17:07:40.587769 : Epoch  6, Batch   2131, Loss  0.863513, Average Loss  0.867987, Time  0.343804
2021-09-09 17:07:42.375089 : Epoch  6, Batch   2132, Loss  0.889129, Average Loss  0.868078, Time  0.356798
2021-09-09 17:07:44.197781 : Epoch  6, Batch   2133, Loss  0.881364, Average Loss  0.868115, Time  0.364809
2021-09-09 17:07:46.116773 : Epoch  6, Batch   2134, Loss  0.871242, Average Loss  0.868121, Time  0.471263
2021-09-09 17:07:47.939223 : Epoch  6, Batch   2135, Loss  0.876841, Average Loss  0.867950, Time  0.356845
2021-09-09 17:07:49.731771 : Epoch  6, Batch   2136, Loss  0.870170, Average Loss  0.868079, Time  0.359985
2021-09-09 17:07:51.534104 : Epoch  6, Batch   2137, Loss  0.873189, Average Loss  0.868199, Time  0.356851
2021-09-09 17:07:53.323228 : Epoch  6, Batch   2138, Loss  0.839846, Average Loss  0.868162, Time  0.358050
2021-09-09 17:07:55.220779 : Epoch  6, Batch   2139, Loss  0.860277, Average Loss  0.868172, Time  0.452850
2021-09-09 17:07:57.011092 : Epoch  6, Batch   2140, Loss  0.871624, Average Loss  0.868250, Time  0.353134
2021-09-09 17:07:58.848819 : Epoch  6, Batch   2141, Loss  0.885919, Average Loss  0.868336, Time  0.396987
2021-09-09 17:08:00.666103 : Epoch  6, Batch   2142, Loss  0.843714, Average Loss  0.868294, Time  0.365046
2021-09-09 17:08:02.453571 : Epoch  6, Batch   2143, Loss  0.852525, Average Loss  0.868223, Time  0.356866
2021-09-09 17:08:04.218435 : Epoch  6, Batch   2144, Loss  0.856277, Average Loss  0.868035, Time  0.356907
2021-09-09 17:08:06.004771 : Epoch  6, Batch   2145, Loss  0.857558, Average Loss  0.867998, Time  0.359696
2021-09-09 17:12:56.045708 : CheckPoint: Validation Loss  0.00061239, Best Loss  0.00056427
2021-09-09 17:12:57.838031 : Epoch  6, Batch   2146, Loss  0.858692, Average Loss  0.867992, Time  0.359532
2021-09-09 17:12:59.655774 : Epoch  6, Batch   2147, Loss  0.883241, Average Loss  0.868044, Time  0.360255
2021-09-09 17:13:01.454774 : Epoch  6, Batch   2148, Loss  0.866036, Average Loss  0.868001, Time  0.363308
2021-09-09 17:13:03.231770 : Epoch  6, Batch   2149, Loss  0.893611, Average Loss  0.868171, Time  0.359491
2021-09-09 17:13:05.025885 : Epoch  6, Batch   2150, Loss  0.867811, Average Loss  0.868081, Time  0.363985
2021-09-09 17:13:06.821911 : Epoch  6, Batch   2151, Loss  0.900736, Average Loss  0.868345, Time  0.364712
2021-09-09 17:13:08.608772 : Epoch  6, Batch   2152, Loss  0.832321, Average Loss  0.868194, Time  0.378654
2021-09-09 17:13:10.393237 : Epoch  6, Batch   2153, Loss  0.860539, Average Loss  0.868057, Time  0.364759
2021-09-09 17:13:12.185060 : Epoch  6, Batch   2154, Loss  0.884767, Average Loss  0.868104, Time  0.370537
2021-09-09 17:13:13.987775 : Epoch  6, Batch   2155, Loss  0.834942, Average Loss  0.867917, Time  0.366769
2021-09-09 17:13:15.781761 : Epoch  6, Batch   2156, Loss  0.883879, Average Loss  0.868023, Time  0.365894
2021-09-09 17:13:17.583776 : Epoch  6, Batch   2157, Loss  0.879504, Average Loss  0.867990, Time  0.369061
2021-09-09 17:13:19.378103 : Epoch  6, Batch   2158, Loss  0.831461, Average Loss  0.867783, Time  0.362221
2021-09-09 17:13:21.189777 : Epoch  6, Batch   2159, Loss  0.865365, Average Loss  0.867911, Time  0.375548
2021-09-09 17:13:22.972185 : Epoch  6, Batch   2160, Loss  0.852823, Average Loss  0.867817, Time  0.362103
2021-09-09 17:13:24.761767 : Epoch  6, Batch   2161, Loss  0.847904, Average Loss  0.867628, Time  0.374845
2021-09-09 17:13:26.549880 : Epoch  6, Batch   2162, Loss  0.872080, Average Loss  0.867641, Time  0.365989
2021-09-09 17:13:28.324779 : Epoch  6, Batch   2163, Loss  0.929087, Average Loss  0.867983, Time  0.363785
2021-09-09 17:13:30.162132 : Epoch  6, Batch   2164, Loss  0.851643, Average Loss  0.867896, Time  0.391249
2021-09-09 17:13:31.954775 : Epoch  6, Batch   2165, Loss  0.879090, Average Loss  0.868090, Time  0.366108
2021-09-09 17:13:33.741303 : Epoch  6, Batch   2166, Loss  0.868289, Average Loss  0.868026, Time  0.362814
2021-09-09 17:13:35.525769 : Epoch  6, Batch   2167, Loss  0.881848, Average Loss  0.867966, Time  0.365006
2021-09-09 17:13:37.341060 : Epoch  6, Batch   2168, Loss  0.889214, Average Loss  0.868007, Time  0.384981
2021-09-09 17:13:39.136780 : Epoch  6, Batch   2169, Loss  0.864466, Average Loss  0.867953, Time  0.367499
2021-09-09 17:13:40.918099 : Epoch  6, Batch   2170, Loss  0.840500, Average Loss  0.867897, Time  0.367944
2021-09-09 17:13:42.701769 : Epoch  6, Batch   2171, Loss  0.828318, Average Loss  0.867780, Time  0.371661
2021-09-09 17:13:44.508830 : Epoch  6, Batch   2172, Loss  0.856331, Average Loss  0.867841, Time  0.371255
2021-09-09 17:13:46.318782 : Epoch  6, Batch   2173, Loss  0.878586, Average Loss  0.867916, Time  0.359213
2021-09-09 17:13:48.114775 : Epoch  6, Batch   2174, Loss  0.865109, Average Loss  0.867863, Time  0.373239
2021-09-09 17:13:49.928773 : Epoch  6, Batch   2175, Loss  0.874109, Average Loss  0.867959, Time  0.362936
2021-09-09 17:13:51.712823 : Epoch  6, Batch   2176, Loss  0.880402, Average Loss  0.867929, Time  0.360717
2021-09-09 17:13:53.481782 : Epoch  6, Batch   2177, Loss  0.857318, Average Loss  0.867816, Time  0.358337
2021-09-09 17:13:55.307955 : Epoch  6, Batch   2178, Loss  0.867520, Average Loss  0.867885, Time  0.383642
2021-09-09 17:13:57.142268 : Epoch  6, Batch   2179, Loss  0.853864, Average Loss  0.867871, Time  0.360977
2021-09-09 17:13:58.941095 : Epoch  6, Batch   2180, Loss  0.848117, Average Loss  0.867699, Time  0.359790
2021-09-09 17:14:00.707831 : Epoch  6, Batch   2181, Loss  0.867467, Average Loss  0.867566, Time  0.358189
2021-09-09 17:14:02.518853 : Epoch  6, Batch   2182, Loss  0.899113, Average Loss  0.867863, Time  0.383322
2021-09-09 17:14:04.351781 : Epoch  6, Batch   2183, Loss  0.869007, Average Loss  0.867790, Time  0.361936
2021-09-09 17:14:06.158872 : Epoch  6, Batch   2184, Loss  0.881912, Average Loss  0.867828, Time  0.358432
2021-09-09 17:14:07.956073 : Epoch  6, Batch   2185, Loss  0.845875, Average Loss  0.867788, Time  0.360735
2021-09-09 17:14:09.750773 : Epoch  6, Batch   2186, Loss  0.837332, Average Loss  0.867733, Time  0.373070
2021-09-09 17:14:11.559102 : Epoch  6, Batch   2187, Loss  0.856221, Average Loss  0.867707, Time  0.366557
2021-09-09 17:14:13.367265 : Epoch  6, Batch   2188, Loss  0.848617, Average Loss  0.867508, Time  0.361769
2021-09-09 17:14:15.204774 : Epoch  6, Batch   2189, Loss  0.882636, Average Loss  0.867508, Time  0.411064
2021-09-09 17:14:17.022780 : Epoch  6, Batch   2190, Loss  0.887805, Average Loss  0.867629, Time  0.373644
2021-09-09 17:14:18.861779 : Epoch  6, Batch   2191, Loss  0.872605, Average Loss  0.867606, Time  0.395676
2021-09-09 17:14:20.761481 : Epoch  6, Batch   2192, Loss  0.866682, Average Loss  0.867575, Time  0.452518
2021-09-09 17:14:22.543774 : Epoch  6, Batch   2193, Loss  0.854378, Average Loss  0.867416, Time  0.357035
2021-09-09 17:14:24.345796 : Epoch  6, Batch   2194, Loss  0.858323, Average Loss  0.867271, Time  0.368904
2021-09-09 17:14:26.179104 : Epoch  6, Batch   2195, Loss  0.880964, Average Loss  0.867321, Time  0.412685
2021-09-09 17:14:28.076775 : Epoch  6, Batch   2196, Loss  0.872736, Average Loss  0.867373, Time  0.462972
2021-09-09 17:14:29.849181 : Epoch  6, Batch   2197, Loss  0.872145, Average Loss  0.867253, Time  0.360615
2021-09-09 17:14:31.628775 : Epoch  6, Batch   2198, Loss  0.858691, Average Loss  0.867295, Time  0.356624
2021-09-09 17:14:33.453115 : Epoch  6, Batch   2199, Loss  0.829052, Average Loss  0.867000, Time  0.385112
2021-09-09 17:14:35.358962 : Epoch  6, Batch   2200, Loss  0.864764, Average Loss  0.867028, Time  0.473411
2021-09-09 17:14:37.139770 : Epoch  6, Batch   2201, Loss  0.859161, Average Loss  0.866945, Time  0.365003
2021-09-09 17:14:38.910524 : Epoch  6, Batch   2202, Loss  0.877097, Average Loss  0.866980, Time  0.355894
2021-09-09 17:14:40.734976 : Epoch  6, Batch   2203, Loss  0.864158, Average Loss  0.867135, Time  0.407000
2021-09-09 17:14:42.621775 : Epoch  6, Batch   2204, Loss  0.917572, Average Loss  0.867384, Time  0.454496
2021-09-09 17:14:44.397101 : Epoch  6, Batch   2205, Loss  0.850147, Average Loss  0.867271, Time  0.362487
2021-09-09 17:14:46.196773 : Epoch  6, Batch   2206, Loss  0.859059, Average Loss  0.867309, Time  0.372440
2021-09-09 17:14:48.034103 : Epoch  6, Batch   2207, Loss  0.862145, Average Loss  0.867219, Time  0.413922
2021-09-09 17:14:49.949776 : Epoch  6, Batch   2208, Loss  0.867528, Average Loss  0.867259, Time  0.456149
2021-09-09 17:14:51.740106 : Epoch  6, Batch   2209, Loss  0.866675, Average Loss  0.867417, Time  0.355626
2021-09-09 17:14:53.507772 : Epoch  6, Batch   2210, Loss  0.853031, Average Loss  0.867423, Time  0.357129
2021-09-09 17:14:55.326777 : Epoch  6, Batch   2211, Loss  0.875797, Average Loss  0.867392, Time  0.386636
2021-09-09 17:14:57.222037 : Epoch  6, Batch   2212, Loss  0.864402, Average Loss  0.867569, Time  0.457633
2021-09-09 17:14:59.003775 : Epoch  6, Batch   2213, Loss  0.845523, Average Loss  0.867430, Time  0.359194
2021-09-09 17:15:00.830216 : Epoch  6, Batch   2214, Loss  0.895506, Average Loss  0.867686, Time  0.364127
2021-09-09 17:15:02.640783 : Epoch  6, Batch   2215, Loss  0.871290, Average Loss  0.867771, Time  0.381501
2021-09-09 17:15:04.506350 : Epoch  6, Batch   2216, Loss  0.862040, Average Loss  0.867823, Time  0.458899
2021-09-09 17:15:06.295164 : Epoch  6, Batch   2217, Loss  0.855813, Average Loss  0.867880, Time  0.358447
2021-09-09 17:15:08.084768 : Epoch  6, Batch   2218, Loss  0.821070, Average Loss  0.867615, Time  0.355377
2021-09-09 17:15:09.900928 : Epoch  6, Batch   2219, Loss  0.896691, Average Loss  0.867694, Time  0.372972
2021-09-09 17:15:11.774843 : Epoch  6, Batch   2220, Loss  0.859806, Average Loss  0.867606, Time  0.456675
2021-09-09 17:15:13.540772 : Epoch  6, Batch   2221, Loss  0.857363, Average Loss  0.867524, Time  0.356827
2021-09-09 17:15:15.325780 : Epoch  6, Batch   2222, Loss  0.895535, Average Loss  0.867777, Time  0.358303
2021-09-09 17:15:17.148774 : Epoch  6, Batch   2223, Loss  0.869041, Average Loss  0.867653, Time  0.381427
2021-09-09 17:15:19.052778 : Epoch  6, Batch   2224, Loss  0.849780, Average Loss  0.867576, Time  0.458803
2021-09-09 17:15:20.878090 : Epoch  6, Batch   2225, Loss  0.868810, Average Loss  0.867573, Time  0.381656
2021-09-09 17:15:22.663797 : Epoch  6, Batch   2226, Loss  0.843365, Average Loss  0.867350, Time  0.357444
2021-09-09 17:15:24.437169 : Epoch  6, Batch   2227, Loss  0.906441, Average Loss  0.867369, Time  0.366101
2021-09-09 17:15:26.345004 : Epoch  6, Batch   2228, Loss  0.864788, Average Loss  0.867311, Time  0.470101
2021-09-09 17:15:28.297231 : Epoch  6, Batch   2229, Loss  0.860957, Average Loss  0.867272, Time  0.457719
2021-09-09 17:15:30.116927 : Epoch  6, Batch   2230, Loss  0.898855, Average Loss  0.867392, Time  0.365336
2021-09-09 17:15:31.941770 : Epoch  6, Batch   2231, Loss  0.876131, Average Loss  0.867398, Time  0.357769
2021-09-09 17:15:33.766796 : Epoch  6, Batch   2232, Loss  0.874577, Average Loss  0.867565, Time  0.371318
2021-09-09 17:15:35.642781 : Epoch  6, Batch   2233, Loss  0.856861, Average Loss  0.867570, Time  0.453149
2021-09-09 17:15:37.415575 : Epoch  6, Batch   2234, Loss  0.885448, Average Loss  0.867520, Time  0.358292
2021-09-09 17:15:39.207224 : Epoch  6, Batch   2235, Loss  0.846386, Average Loss  0.867533, Time  0.378233
2021-09-09 17:15:41.011777 : Epoch  6, Batch   2236, Loss  0.888104, Average Loss  0.867564, Time  0.376303
2021-09-09 17:15:42.924108 : Epoch  6, Batch   2237, Loss  0.859823, Average Loss  0.867464, Time  0.451056
2021-09-09 17:15:44.777776 : Epoch  6, Batch   2238, Loss  0.827562, Average Loss  0.867388, Time  0.424436
2021-09-09 17:15:46.563827 : Epoch  6, Batch   2239, Loss  0.893249, Average Loss  0.867581, Time  0.378031
2021-09-09 17:15:48.352776 : Epoch  6, Batch   2240, Loss  0.870369, Average Loss  0.867587, Time  0.355995
2021-09-09 17:15:50.213776 : Epoch  6, Batch   2241, Loss  0.914069, Average Loss  0.867810, Time  0.436504
2021-09-09 17:15:52.133781 : Epoch  6, Batch   2242, Loss  0.886011, Average Loss  0.867953, Time  0.452682
2021-09-09 17:15:53.953776 : Epoch  6, Batch   2243, Loss  0.878830, Average Loss  0.867951, Time  0.354452
2021-09-09 17:15:55.737811 : Epoch  6, Batch   2244, Loss  0.871055, Average Loss  0.867992, Time  0.357205
2021-09-09 17:15:57.528024 : Epoch  6, Batch   2245, Loss  0.854693, Average Loss  0.867839, Time  0.357236
2021-09-09 17:20:48.149707 : CheckPoint: Validation Loss  0.00060624, Best Loss  0.00056427
2021-09-09 17:20:49.943820 : Epoch  6, Batch   2246, Loss  0.869922, Average Loss  0.867783, Time  0.362559
2021-09-09 17:20:51.810467 : Epoch  6, Batch   2247, Loss  0.893809, Average Loss  0.867909, Time  0.452326
2021-09-09 17:20:53.587776 : Epoch  6, Batch   2248, Loss  0.857950, Average Loss  0.868087, Time  0.344934
2021-09-09 17:20:55.387775 : Epoch  6, Batch   2249, Loss  0.889940, Average Loss  0.868254, Time  0.367726
2021-09-09 17:20:57.162078 : Epoch  6, Batch   2250, Loss  0.838634, Average Loss  0.867907, Time  0.356679
2021-09-09 17:20:59.047223 : Epoch  6, Batch   2251, Loss  0.877247, Average Loss  0.867941, Time  0.460895
2021-09-09 17:21:00.826768 : Epoch  6, Batch   2252, Loss  0.886535, Average Loss  0.868180, Time  0.354280
2021-09-09 17:21:02.605252 : Epoch  6, Batch   2253, Loss  0.872419, Average Loss  0.868240, Time  0.355865
2021-09-09 17:21:04.386769 : Epoch  6, Batch   2254, Loss  0.858688, Average Loss  0.868330, Time  0.363311
2021-09-09 17:21:06.255593 : Epoch  6, Batch   2255, Loss  0.899171, Average Loss  0.868315, Time  0.454513
2021-09-09 17:21:08.041808 : Epoch  6, Batch   2256, Loss  0.864376, Average Loss  0.868298, Time  0.376628
2021-09-09 17:21:09.833104 : Epoch  6, Batch   2257, Loss  0.842365, Average Loss  0.868015, Time  0.356599
2021-09-09 17:21:11.597773 : Epoch  6, Batch   2258, Loss  0.891218, Average Loss  0.868058, Time  0.356862
2021-09-09 17:21:13.527774 : Epoch  6, Batch   2259, Loss  0.857672, Average Loss  0.868099, Time  0.454504
2021-09-09 17:21:15.413765 : Epoch  6, Batch   2260, Loss  0.892824, Average Loss  0.868280, Time  0.449904
2021-09-09 17:21:17.201108 : Epoch  6, Batch   2261, Loss  0.871668, Average Loss  0.868213, Time  0.356700
2021-09-09 17:21:18.988770 : Epoch  6, Batch   2262, Loss  0.846296, Average Loss  0.868175, Time  0.364404
2021-09-09 17:21:20.803234 : Epoch  6, Batch   2263, Loss  0.857508, Average Loss  0.868085, Time  0.399074
2021-09-09 17:21:22.674762 : Epoch  6, Batch   2264, Loss  0.877085, Average Loss  0.868164, Time  0.468348
2021-09-09 17:21:24.453100 : Epoch  6, Batch   2265, Loss  0.877060, Average Loss  0.868271, Time  0.359105
2021-09-09 17:21:26.217770 : Epoch  6, Batch   2266, Loss  0.833647, Average Loss  0.868038, Time  0.361393
2021-09-09 17:21:28.015799 : Epoch  6, Batch   2267, Loss  0.866100, Average Loss  0.868127, Time  0.392042
2021-09-09 17:21:29.889762 : Epoch  6, Batch   2268, Loss  0.859960, Average Loss  0.868136, Time  0.457045
2021-09-09 17:21:31.706764 : Epoch  6, Batch   2269, Loss  0.872244, Average Loss  0.868289, Time  0.359967
2021-09-09 17:21:33.482765 : Epoch  6, Batch   2270, Loss  0.865829, Average Loss  0.868217, Time  0.366025
2021-09-09 17:21:35.274766 : Epoch  6, Batch   2271, Loss  0.874088, Average Loss  0.868085, Time  0.379243
2021-09-09 17:21:37.158775 : Epoch  6, Batch   2272, Loss  0.859646, Average Loss  0.867951, Time  0.463343
2021-09-09 17:21:38.948775 : Epoch  6, Batch   2273, Loss  0.887911, Average Loss  0.868008, Time  0.347788
2021-09-09 17:21:40.716769 : Epoch  6, Batch   2274, Loss  0.854570, Average Loss  0.867971, Time  0.356392
2021-09-09 17:21:42.481750 : Epoch  6, Batch   2275, Loss  0.862468, Average Loss  0.867834, Time  0.362313
2021-09-09 17:21:44.344113 : Epoch  6, Batch   2276, Loss  0.844302, Average Loss  0.867682, Time  0.454108
2021-09-09 17:21:46.134775 : Epoch  6, Batch   2277, Loss  0.877413, Average Loss  0.867624, Time  0.354179
2021-09-09 17:21:47.910251 : Epoch  6, Batch   2278, Loss  0.865136, Average Loss  0.867623, Time  0.356692
2021-09-09 17:21:49.688769 : Epoch  6, Batch   2279, Loss  0.862603, Average Loss  0.867627, Time  0.356031
2021-09-09 17:21:51.565783 : Epoch  6, Batch   2280, Loss  0.878845, Average Loss  0.867712, Time  0.456465
2021-09-09 17:21:53.321138 : Epoch  6, Batch   2281, Loss  0.846613, Average Loss  0.867598, Time  0.348951
2021-09-09 17:21:55.101175 : Epoch  6, Batch   2282, Loss  0.878462, Average Loss  0.867626, Time  0.356744
2021-09-09 17:21:56.922760 : Epoch  6, Batch   2283, Loss  0.889900, Average Loss  0.867601, Time  0.365818
2021-09-09 17:21:58.794308 : Epoch  6, Batch   2284, Loss  0.889374, Average Loss  0.867666, Time  0.458886
2021-09-09 17:22:00.656182 : Epoch  6, Batch   2285, Loss  0.843969, Average Loss  0.867500, Time  0.438569
2021-09-09 17:22:02.440762 : Epoch  6, Batch   2286, Loss  0.852121, Average Loss  0.867569, Time  0.361096
2021-09-09 17:22:04.224770 : Epoch  6, Batch   2287, Loss  0.870184, Average Loss  0.867642, Time  0.367286
2021-09-09 17:22:06.071773 : Epoch  6, Batch   2288, Loss  0.900163, Average Loss  0.867663, Time  0.421684
2021-09-09 17:22:07.951229 : Epoch  6, Batch   2289, Loss  0.847102, Average Loss  0.867453, Time  0.450910
2021-09-09 17:22:09.715892 : Epoch  6, Batch   2290, Loss  0.881935, Average Loss  0.867674, Time  0.357898
2021-09-09 17:22:11.483890 : Epoch  6, Batch   2291, Loss  0.893538, Average Loss  0.867780, Time  0.356571
2021-09-09 17:22:13.302772 : Epoch  6, Batch   2292, Loss  0.871051, Average Loss  0.867864, Time  0.391718
2021-09-09 17:22:15.171968 : Epoch  6, Batch   2293, Loss  0.881969, Average Loss  0.867947, Time  0.454347
2021-09-09 17:22:16.948806 : Epoch  6, Batch   2294, Loss  0.882395, Average Loss  0.867847, Time  0.357363
2021-09-09 17:22:18.727114 : Epoch  6, Batch   2295, Loss  0.853808, Average Loss  0.867843, Time  0.367530
2021-09-09 17:22:20.541768 : Epoch  6, Batch   2296, Loss  0.867173, Average Loss  0.868011, Time  0.389376
2021-09-09 17:22:22.417100 : Epoch  6, Batch   2297, Loss  0.835923, Average Loss  0.867827, Time  0.450156
2021-09-09 17:22:24.177288 : Epoch  6, Batch   2298, Loss  0.876062, Average Loss  0.867860, Time  0.357384
2021-09-09 17:22:25.958340 : Epoch  6, Batch   2299, Loss  0.865429, Average Loss  0.867907, Time  0.356875
2021-09-09 17:22:27.774104 : Epoch  6, Batch   2300, Loss  0.864425, Average Loss  0.867876, Time  0.399500
2021-09-09 17:22:29.673760 : Epoch  6, Batch   2301, Loss  0.853481, Average Loss  0.867816, Time  0.455872
2021-09-09 17:22:31.458530 : Epoch  6, Batch   2302, Loss  0.848770, Average Loss  0.867595, Time  0.371882
2021-09-09 17:22:33.235377 : Epoch  6, Batch   2303, Loss  0.869957, Average Loss  0.867381, Time  0.361490
2021-09-09 17:22:35.029812 : Epoch  6, Batch   2304, Loss  0.865660, Average Loss  0.867488, Time  0.389174
2021-09-09 17:22:36.912962 : Epoch  6, Batch   2305, Loss  0.876388, Average Loss  0.867554, Time  0.452436
2021-09-09 17:22:38.700223 : Epoch  6, Batch   2306, Loss  0.862067, Average Loss  0.867400, Time  0.358935
2021-09-09 17:22:40.479768 : Epoch  6, Batch   2307, Loss  0.895307, Average Loss  0.867580, Time  0.362149
2021-09-09 17:22:42.283998 : Epoch  6, Batch   2308, Loss  0.855609, Average Loss  0.867371, Time  0.384060
2021-09-09 17:22:44.158496 : Epoch  6, Batch   2309, Loss  0.879234, Average Loss  0.867588, Time  0.454899
2021-09-09 17:22:45.950278 : Epoch  6, Batch   2310, Loss  0.872695, Average Loss  0.867655, Time  0.363189
2021-09-09 17:22:47.727372 : Epoch  6, Batch   2311, Loss  0.868527, Average Loss  0.867880, Time  0.366138
2021-09-09 17:22:49.514123 : Epoch  6, Batch   2312, Loss  0.875146, Average Loss  0.867923, Time  0.370533
2021-09-09 17:22:51.462767 : Epoch  6, Batch   2313, Loss  0.874314, Average Loss  0.867806, Time  0.470147
2021-09-09 17:22:53.310902 : Epoch  6, Batch   2314, Loss  0.848379, Average Loss  0.867761, Time  0.424979
2021-09-09 17:22:55.097105 : Epoch  6, Batch   2315, Loss  0.864725, Average Loss  0.867718, Time  0.358102
2021-09-09 17:22:56.890788 : Epoch  6, Batch   2316, Loss  0.901677, Average Loss  0.867835, Time  0.355352
2021-09-09 17:22:58.742879 : Epoch  6, Batch   2317, Loss  0.881553, Average Loss  0.867902, Time  0.437456
2021-09-09 17:23:00.622770 : Epoch  6, Batch   2318, Loss  0.881000, Average Loss  0.867915, Time  0.453860
2021-09-09 17:23:02.392240 : Epoch  6, Batch   2319, Loss  0.873646, Average Loss  0.867931, Time  0.355834
2021-09-09 17:23:04.165778 : Epoch  6, Batch   2320, Loss  0.861568, Average Loss  0.867840, Time  0.358358
2021-09-09 17:23:05.986942 : Epoch  6, Batch   2321, Loss  0.903077, Average Loss  0.867915, Time  0.385231
2021-09-09 17:23:07.847893 : Epoch  6, Batch   2322, Loss  0.853843, Average Loss  0.868149, Time  0.451453
2021-09-09 17:23:09.611569 : Epoch  6, Batch   2323, Loss  0.845063, Average Loss  0.868083, Time  0.356739
2021-09-09 17:23:11.386100 : Epoch  6, Batch   2324, Loss  0.870485, Average Loss  0.867925, Time  0.362593
2021-09-09 17:23:13.189126 : Epoch  6, Batch   2325, Loss  0.866978, Average Loss  0.867913, Time  0.391309
2021-09-09 17:23:15.067109 : Epoch  6, Batch   2326, Loss  0.878149, Average Loss  0.867860, Time  0.451574
2021-09-09 17:23:16.840221 : Epoch  6, Batch   2327, Loss  0.858694, Average Loss  0.867872, Time  0.356103
2021-09-09 17:23:18.611868 : Epoch  6, Batch   2328, Loss  0.902856, Average Loss  0.867894, Time  0.360848
2021-09-09 17:23:20.416804 : Epoch  6, Batch   2329, Loss  0.859043, Average Loss  0.867964, Time  0.388274
2021-09-09 17:23:22.303938 : Epoch  6, Batch   2330, Loss  0.843639, Average Loss  0.868110, Time  0.454130
2021-09-09 17:23:24.081971 : Epoch  6, Batch   2331, Loss  0.834549, Average Loss  0.867965, Time  0.360040
2021-09-09 17:23:25.850660 : Epoch  6, Batch   2332, Loss  0.863182, Average Loss  0.867835, Time  0.365140
2021-09-09 17:23:27.645891 : Epoch  6, Batch   2333, Loss  0.897231, Average Loss  0.867914, Time  0.390968
2021-09-09 17:23:29.507772 : Epoch  6, Batch   2334, Loss  0.865802, Average Loss  0.867887, Time  0.460206
2021-09-09 17:23:31.282761 : Epoch  6, Batch   2335, Loss  0.864826, Average Loss  0.867827, Time  0.359704
2021-09-09 17:23:33.069770 : Epoch  6, Batch   2336, Loss  0.842925, Average Loss  0.867691, Time  0.370914
2021-09-09 17:23:34.904774 : Epoch  6, Batch   2337, Loss  0.864557, Average Loss  0.867648, Time  0.410143
2021-09-09 17:23:36.688101 : Epoch  6, Batch   2338, Loss  0.865280, Average Loss  0.867775, Time  0.361131
2021-09-09 17:23:38.459160 : Epoch  6, Batch   2339, Loss  0.913313, Average Loss  0.868040, Time  0.363873
2021-09-09 17:23:40.316107 : Epoch  6, Batch   2340, Loss  0.884696, Average Loss  0.868106, Time  0.420532
2021-09-09 17:23:42.192218 : Epoch  6, Batch   2341, Loss  0.875825, Average Loss  0.868055, Time  0.455324
2021-09-09 17:23:43.968393 : Epoch  6, Batch   2342, Loss  0.881876, Average Loss  0.868246, Time  0.363906
2021-09-09 17:23:45.762768 : Epoch  6, Batch   2343, Loss  0.877261, Average Loss  0.868370, Time  0.372284
2021-09-09 17:23:47.581131 : Epoch  6, Batch   2344, Loss  0.875230, Average Loss  0.868464, Time  0.409068
2021-09-09 17:23:49.486768 : Epoch  6, Batch   2345, Loss  0.874343, Average Loss  0.868548, Time  0.454581
2021-09-09 17:28:40.747709 : CheckPoint: Validation Loss  0.00060970, Best Loss  0.00056427
2021-09-09 17:28:42.515903 : Epoch  6, Batch   2346, Loss  0.917204, Average Loss  0.868841, Time  0.339806
2021-09-09 17:28:44.285817 : Epoch  6, Batch   2347, Loss  0.835109, Average Loss  0.868600, Time  0.360454
2021-09-09 17:28:46.069760 : Epoch  6, Batch   2348, Loss  0.857999, Average Loss  0.868560, Time  0.358875
2021-09-09 17:28:47.928776 : Epoch  6, Batch   2349, Loss  0.883858, Average Loss  0.868511, Time  0.451883
2021-09-09 17:28:49.694297 : Epoch  6, Batch   2350, Loss  0.825221, Average Loss  0.868298, Time  0.359356
2021-09-09 17:28:51.455828 : Epoch  6, Batch   2351, Loss  0.863646, Average Loss  0.868113, Time  0.357121
2021-09-09 17:28:53.270774 : Epoch  6, Batch   2352, Loss  0.871629, Average Loss  0.868309, Time  0.402455
2021-09-09 17:28:55.143765 : Epoch  6, Batch   2353, Loss  0.840709, Average Loss  0.868210, Time  0.455613
2021-09-09 17:28:56.909780 : Epoch  6, Batch   2354, Loss  0.873429, Average Loss  0.868153, Time  0.357386
2021-09-09 17:28:58.697102 : Epoch  6, Batch   2355, Loss  0.886953, Average Loss  0.868414, Time  0.357715
2021-09-09 17:29:00.502763 : Epoch  6, Batch   2356, Loss  0.856299, Average Loss  0.868276, Time  0.396606
2021-09-09 17:29:02.362193 : Epoch  6, Batch   2357, Loss  0.868667, Average Loss  0.868221, Time  0.455888
2021-09-09 17:29:04.148674 : Epoch  6, Batch   2358, Loss  0.888990, Average Loss  0.868509, Time  0.356064
2021-09-09 17:29:05.909617 : Epoch  6, Batch   2359, Loss  0.870132, Average Loss  0.868533, Time  0.356406
2021-09-09 17:29:07.721757 : Epoch  6, Batch   2360, Loss  0.878074, Average Loss  0.868659, Time  0.398533
2021-09-09 17:29:09.596767 : Epoch  6, Batch   2361, Loss  0.887837, Average Loss  0.868859, Time  0.454015
2021-09-09 17:29:11.354389 : Epoch  6, Batch   2362, Loss  0.847119, Average Loss  0.868734, Time  0.357888
2021-09-09 17:29:13.137775 : Epoch  6, Batch   2363, Loss  0.864596, Average Loss  0.868412, Time  0.358213
2021-09-09 17:29:14.940598 : Epoch  6, Batch   2364, Loss  0.873844, Average Loss  0.868523, Time  0.392632
2021-09-09 17:29:16.811776 : Epoch  6, Batch   2365, Loss  0.869578, Average Loss  0.868475, Time  0.456586
2021-09-09 17:29:18.589287 : Epoch  6, Batch   2366, Loss  0.860650, Average Loss  0.868437, Time  0.358620
2021-09-09 17:29:20.344775 : Epoch  6, Batch   2367, Loss  0.892379, Average Loss  0.868489, Time  0.356431
2021-09-09 17:29:22.146457 : Epoch  6, Batch   2368, Loss  0.914394, Average Loss  0.868615, Time  0.399701
2021-09-09 17:29:24.020769 : Epoch  6, Batch   2369, Loss  0.837108, Average Loss  0.868479, Time  0.451797
2021-09-09 17:29:25.788104 : Epoch  6, Batch   2370, Loss  0.889338, Average Loss  0.868723, Time  0.357252
2021-09-09 17:29:27.549303 : Epoch  6, Batch   2371, Loss  0.867943, Average Loss  0.868921, Time  0.357661
2021-09-09 17:29:29.350091 : Epoch  6, Batch   2372, Loss  0.854522, Average Loss  0.868912, Time  0.399973
2021-09-09 17:29:31.231226 : Epoch  6, Batch   2373, Loss  0.867271, Average Loss  0.868855, Time  0.457740
2021-09-09 17:29:33.010127 : Epoch  6, Batch   2374, Loss  0.881285, Average Loss  0.868936, Time  0.368880
2021-09-09 17:29:34.787767 : Epoch  6, Batch   2375, Loss  0.860393, Average Loss  0.868868, Time  0.357432
2021-09-09 17:29:36.592874 : Epoch  6, Batch   2376, Loss  0.896507, Average Loss  0.868948, Time  0.393222
2021-09-09 17:29:38.445265 : Epoch  6, Batch   2377, Loss  0.890772, Average Loss  0.869115, Time  0.451080
2021-09-09 17:29:40.221946 : Epoch  6, Batch   2378, Loss  0.885543, Average Loss  0.869205, Time  0.358067
2021-09-09 17:29:42.004765 : Epoch  6, Batch   2379, Loss  0.883747, Average Loss  0.869355, Time  0.358315
2021-09-09 17:29:43.822202 : Epoch  6, Batch   2380, Loss  0.860052, Average Loss  0.869415, Time  0.403817
2021-09-09 17:29:45.706848 : Epoch  6, Batch   2381, Loss  0.867347, Average Loss  0.869414, Time  0.452656
2021-09-09 17:29:47.489132 : Epoch  6, Batch   2382, Loss  0.856829, Average Loss  0.869203, Time  0.360132
2021-09-09 17:29:49.264095 : Epoch  6, Batch   2383, Loss  0.851197, Average Loss  0.869113, Time  0.364176
2021-09-09 17:29:51.051803 : Epoch  6, Batch   2384, Loss  0.876034, Average Loss  0.869084, Time  0.387729
2021-09-09 17:29:52.918136 : Epoch  6, Batch   2385, Loss  0.890670, Average Loss  0.869308, Time  0.458235
2021-09-09 17:29:54.695771 : Epoch  6, Batch   2386, Loss  0.867013, Average Loss  0.869456, Time  0.359436
2021-09-09 17:29:56.472771 : Epoch  6, Batch   2387, Loss  0.858140, Average Loss  0.869466, Time  0.365963
2021-09-09 17:29:58.280229 : Epoch  6, Batch   2388, Loss  0.858694, Average Loss  0.869516, Time  0.387069
2021-09-09 17:30:00.157099 : Epoch  6, Batch   2389, Loss  0.881612, Average Loss  0.869511, Time  0.456630
2021-09-09 17:30:01.941117 : Epoch  6, Batch   2390, Loss  0.830686, Average Loss  0.869226, Time  0.359472
2021-09-09 17:30:03.729100 : Epoch  6, Batch   2391, Loss  0.876568, Average Loss  0.869246, Time  0.357892
2021-09-09 17:30:05.541082 : Epoch  6, Batch   2392, Loss  0.830888, Average Loss  0.869067, Time  0.375099
2021-09-09 17:30:07.426217 : Epoch  6, Batch   2393, Loss  0.891502, Average Loss  0.869252, Time  0.470216
2021-09-09 17:30:09.215215 : Epoch  6, Batch   2394, Loss  0.841806, Average Loss  0.869170, Time  0.354884
2021-09-09 17:30:10.983776 : Epoch  6, Batch   2395, Loss  0.871424, Average Loss  0.869122, Time  0.358804
2021-09-09 17:30:12.786380 : Epoch  6, Batch   2396, Loss  0.874094, Average Loss  0.869129, Time  0.368554
2021-09-09 17:30:14.663761 : Epoch  6, Batch   2397, Loss  0.861993, Average Loss  0.869078, Time  0.453675
2021-09-09 17:30:16.434092 : Epoch  6, Batch   2398, Loss  0.864286, Average Loss  0.869106, Time  0.356697
2021-09-09 17:30:18.203549 : Epoch  6, Batch   2399, Loss  0.887345, Average Loss  0.869397, Time  0.358066
2021-09-09 17:30:19.993180 : Epoch  6, Batch   2400, Loss  0.898873, Average Loss  0.869568, Time  0.378373
2021-09-09 17:30:21.872807 : Epoch  6, Batch   2401, Loss  0.874666, Average Loss  0.869645, Time  0.452484
2021-09-09 17:30:23.645846 : Epoch  6, Batch   2402, Loss  0.859498, Average Loss  0.869557, Time  0.361496
2021-09-09 17:30:25.420809 : Epoch  6, Batch   2403, Loss  0.858695, Average Loss  0.869530, Time  0.357265
2021-09-09 17:30:27.227778 : Epoch  6, Batch   2404, Loss  0.862640, Average Loss  0.869255, Time  0.390474
2021-09-09 17:30:29.109896 : Epoch  6, Batch   2405, Loss  0.874503, Average Loss  0.869377, Time  0.453686
2021-09-09 17:30:30.893233 : Epoch  6, Batch   2406, Loss  0.838786, Average Loss  0.869276, Time  0.358511
2021-09-09 17:30:32.683766 : Epoch  6, Batch   2407, Loss  0.884898, Average Loss  0.869390, Time  0.358147
2021-09-09 17:30:34.478815 : Epoch  6, Batch   2408, Loss  0.865138, Average Loss  0.869378, Time  0.374251
2021-09-09 17:30:36.339774 : Epoch  6, Batch   2409, Loss  0.875919, Average Loss  0.869424, Time  0.451615
2021-09-09 17:30:38.104798 : Epoch  6, Batch   2410, Loss  0.856671, Average Loss  0.869442, Time  0.355726
2021-09-09 17:30:39.898230 : Epoch  6, Batch   2411, Loss  0.868640, Average Loss  0.869406, Time  0.361051
2021-09-09 17:30:41.722576 : Epoch  6, Batch   2412, Loss  0.893300, Average Loss  0.869551, Time  0.396061
2021-09-09 17:30:43.699087 : Epoch  6, Batch   2413, Loss  0.834965, Average Loss  0.869498, Time  0.507577
2021-09-09 17:30:45.466156 : Epoch  6, Batch   2414, Loss  0.894690, Average Loss  0.869494, Time  0.357668
2021-09-09 17:30:47.259062 : Epoch  6, Batch   2415, Loss  0.863201, Average Loss  0.869454, Time  0.357496
2021-09-09 17:30:49.066159 : Epoch  6, Batch   2416, Loss  0.866692, Average Loss  0.869477, Time  0.394601
2021-09-09 17:30:50.939065 : Epoch  6, Batch   2417, Loss  0.871915, Average Loss  0.869557, Time  0.452767
2021-09-09 17:30:52.697233 : Epoch  6, Batch   2418, Loss  0.886710, Average Loss  0.869885, Time  0.355205
2021-09-09 17:30:54.466802 : Epoch  6, Batch   2419, Loss  0.847799, Average Loss  0.869641, Time  0.356699
2021-09-09 17:30:56.273768 : Epoch  6, Batch   2420, Loss  0.865054, Average Loss  0.869667, Time  0.395761
2021-09-09 17:30:58.172055 : Epoch  6, Batch   2421, Loss  0.859180, Average Loss  0.869676, Time  0.452341
2021-09-09 17:30:59.940984 : Epoch  6, Batch   2422, Loss  0.864347, Average Loss  0.869520, Time  0.356867
2021-09-09 17:31:01.718233 : Epoch  6, Batch   2423, Loss  0.826819, Average Loss  0.869309, Time  0.360838
2021-09-09 17:31:03.520909 : Epoch  6, Batch   2424, Loss  0.825350, Average Loss  0.869187, Time  0.391161
2021-09-09 17:31:05.400773 : Epoch  6, Batch   2425, Loss  0.853229, Average Loss  0.869109, Time  0.467234
2021-09-09 17:31:07.188805 : Epoch  6, Batch   2426, Loss  0.865708, Average Loss  0.869221, Time  0.357012
2021-09-09 17:31:08.973697 : Epoch  6, Batch   2427, Loss  0.878760, Average Loss  0.869083, Time  0.358507
2021-09-09 17:31:10.766106 : Epoch  6, Batch   2428, Loss  0.859137, Average Loss  0.869054, Time  0.382090
2021-09-09 17:31:12.649098 : Epoch  6, Batch   2429, Loss  0.875440, Average Loss  0.869127, Time  0.461760
2021-09-09 17:31:14.437778 : Epoch  6, Batch   2430, Loss  0.835256, Average Loss  0.868809, Time  0.362373
2021-09-09 17:31:16.218521 : Epoch  6, Batch   2431, Loss  0.906498, Average Loss  0.868961, Time  0.356255
2021-09-09 17:31:18.012291 : Epoch  6, Batch   2432, Loss  0.869521, Average Loss  0.868935, Time  0.381866
2021-09-09 17:31:19.888232 : Epoch  6, Batch   2433, Loss  0.894780, Average Loss  0.869125, Time  0.452868
2021-09-09 17:31:21.660768 : Epoch  6, Batch   2434, Loss  0.881260, Average Loss  0.869104, Time  0.365212
2021-09-09 17:31:23.442219 : Epoch  6, Batch   2435, Loss  0.863820, Average Loss  0.869191, Time  0.357538
2021-09-09 17:31:25.250319 : Epoch  6, Batch   2436, Loss  0.869504, Average Loss  0.869098, Time  0.396440
2021-09-09 17:31:27.119090 : Epoch  6, Batch   2437, Loss  0.863805, Average Loss  0.869118, Time  0.453794
2021-09-09 17:31:28.898020 : Epoch  6, Batch   2438, Loss  0.859006, Average Loss  0.869275, Time  0.365473
2021-09-09 17:31:30.674236 : Epoch  6, Batch   2439, Loss  0.872072, Average Loss  0.869169, Time  0.366315
2021-09-09 17:31:32.514239 : Epoch  6, Batch   2440, Loss  0.906127, Average Loss  0.869348, Time  0.395891
2021-09-09 17:31:34.402228 : Epoch  6, Batch   2441, Loss  0.854164, Average Loss  0.869049, Time  0.457337
2021-09-09 17:31:36.168063 : Epoch  6, Batch   2442, Loss  0.892182, Average Loss  0.869079, Time  0.351784
2021-09-09 17:31:37.935765 : Epoch  6, Batch   2443, Loss  0.857279, Average Loss  0.868972, Time  0.358783
2021-09-09 17:31:39.728070 : Epoch  6, Batch   2444, Loss  0.842593, Average Loss  0.868829, Time  0.378685
2021-09-09 17:31:47.021349 : Epoch  6, Batch   2445, Loss  0.882759, Average Loss  0.868970, Time  0.372952
2021-09-09 17:36:37.781119 : CheckPoint: Validation Loss  0.00062563, Best Loss  0.00056427
2021-09-09 17:36:39.619779 : Epoch  6, Batch   2446, Loss  0.873712, Average Loss  0.868989, Time  0.409929
2021-09-09 17:36:41.507825 : Epoch  6, Batch   2447, Loss  0.876287, Average Loss  0.868901, Time  0.455955
2021-09-09 17:36:43.333773 : Epoch  6, Batch   2448, Loss  0.857972, Average Loss  0.868901, Time  0.375698
2021-09-09 17:36:45.130837 : Epoch  6, Batch   2449, Loss  0.861681, Average Loss  0.868760, Time  0.357475
2021-09-09 17:36:46.915773 : Epoch  6, Batch   2450, Loss  0.885991, Average Loss  0.868997, Time  0.367847
2021-09-09 17:36:48.801766 : Epoch  6, Batch   2451, Loss  0.878246, Average Loss  0.869002, Time  0.455782
2021-09-09 17:36:50.579849 : Epoch  6, Batch   2452, Loss  0.891581, Average Loss  0.869027, Time  0.353125
2021-09-09 17:36:52.369771 : Epoch  6, Batch   2453, Loss  0.857108, Average Loss  0.868950, Time  0.370068
2021-09-09 17:36:54.158768 : Epoch  6, Batch   2454, Loss  0.874743, Average Loss  0.869031, Time  0.370739
2021-09-09 17:36:56.035093 : Epoch  6, Batch   2455, Loss  0.874969, Average Loss  0.868910, Time  0.457184
2021-09-09 17:36:57.814777 : Epoch  6, Batch   2456, Loss  0.860027, Average Loss  0.868888, Time  0.357485
2021-09-09 17:36:59.585773 : Epoch  6, Batch   2457, Loss  0.874491, Average Loss  0.869048, Time  0.364000
2021-09-09 17:37:01.392761 : Epoch  6, Batch   2458, Loss  0.833362, Average Loss  0.868759, Time  0.383456
2021-09-09 17:37:03.294773 : Epoch  6, Batch   2459, Loss  0.843104, Average Loss  0.868686, Time  0.452489
2021-09-09 17:37:05.073119 : Epoch  6, Batch   2460, Loss  0.836395, Average Loss  0.868404, Time  0.349507
2021-09-09 17:37:06.866774 : Epoch  6, Batch   2461, Loss  0.850523, Average Loss  0.868298, Time  0.367813
2021-09-09 17:37:08.640698 : Epoch  6, Batch   2462, Loss  0.874450, Average Loss  0.868439, Time  0.360181
2021-09-09 17:37:10.522764 : Epoch  6, Batch   2463, Loss  0.881950, Average Loss  0.868561, Time  0.454989
2021-09-09 17:37:12.374883 : Epoch  6, Batch   2464, Loss  0.869520, Average Loss  0.868524, Time  0.418552
2021-09-09 17:37:14.145773 : Epoch  6, Batch   2465, Loss  0.870870, Average Loss  0.868493, Time  0.359327
2021-09-09 17:37:15.904994 : Epoch  6, Batch   2466, Loss  0.865221, Average Loss  0.868651, Time  0.356206
2021-09-09 17:37:17.777215 : Epoch  6, Batch   2467, Loss  0.872760, Average Loss  0.868684, Time  0.449424
2021-09-09 17:37:19.660304 : Epoch  6, Batch   2468, Loss  0.878285, Average Loss  0.868775, Time  0.454830
2021-09-09 17:37:21.431879 : Epoch  6, Batch   2469, Loss  0.866668, Average Loss  0.868748, Time  0.358689
2021-09-09 17:37:23.207926 : Epoch  6, Batch   2470, Loss  0.888661, Average Loss  0.868862, Time  0.355855
2021-09-09 17:37:25.027773 : Epoch  6, Batch   2471, Loss  0.832671, Average Loss  0.868655, Time  0.396550
2021-09-09 17:37:26.919055 : Epoch  6, Batch   2472, Loss  0.833716, Average Loss  0.868525, Time  0.467208
2021-09-09 17:37:28.706771 : Epoch  6, Batch   2473, Loss  0.847459, Average Loss  0.868323, Time  0.351357
2021-09-09 17:37:30.488760 : Epoch  6, Batch   2474, Loss  0.894922, Average Loss  0.868525, Time  0.365895
2021-09-09 17:37:32.275212 : Epoch  6, Batch   2475, Loss  0.884040, Average Loss  0.868632, Time  0.359809
2021-09-09 17:37:34.139347 : Epoch  6, Batch   2476, Loss  0.877309, Average Loss  0.868797, Time  0.455279
2021-09-09 17:37:35.915092 : Epoch  6, Batch   2477, Loss  0.846543, Average Loss  0.868643, Time  0.356787
2021-09-09 17:37:37.698092 : Epoch  6, Batch   2478, Loss  0.856480, Average Loss  0.868600, Time  0.358725
2021-09-09 17:37:39.512064 : Epoch  6, Batch   2479, Loss  0.862636, Average Loss  0.868600, Time  0.378505
2021-09-09 17:37:41.398773 : Epoch  6, Batch   2480, Loss  0.861686, Average Loss  0.868514, Time  0.457155
2021-09-09 17:37:43.174093 : Epoch  6, Batch   2481, Loss  0.858174, Average Loss  0.868572, Time  0.357251
2021-09-09 17:37:44.953103 : Epoch  6, Batch   2482, Loss  0.887984, Average Loss  0.868620, Time  0.367914
2021-09-09 17:37:46.742270 : Epoch  6, Batch   2483, Loss  0.847721, Average Loss  0.868409, Time  0.368957
2021-09-09 17:37:48.603023 : Epoch  6, Batch   2484, Loss  0.833414, Average Loss  0.868129, Time  0.453718
2021-09-09 17:37:50.372258 : Epoch  6, Batch   2485, Loss  0.844339, Average Loss  0.868131, Time  0.361028
2021-09-09 17:37:52.139798 : Epoch  6, Batch   2486, Loss  0.861080, Average Loss  0.868176, Time  0.355695
2021-09-09 17:37:53.951069 : Epoch  6, Batch   2487, Loss  0.847359, Average Loss  0.868061, Time  0.386210
2021-09-09 17:37:55.812452 : Epoch  6, Batch   2488, Loss  0.890731, Average Loss  0.868014, Time  0.450284
2021-09-09 17:37:57.582871 : Epoch  6, Batch   2489, Loss  0.861698, Average Loss  0.868087, Time  0.365180
2021-09-09 17:37:59.351714 : Epoch  6, Batch   2490, Loss  0.869101, Average Loss  0.868023, Time  0.357162
2021-09-09 17:38:01.164773 : Epoch  6, Batch   2491, Loss  0.895733, Average Loss  0.868034, Time  0.403033
2021-09-09 17:38:03.035930 : Epoch  6, Batch   2492, Loss  0.858117, Average Loss  0.867969, Time  0.458584
2021-09-09 17:38:04.810291 : Epoch  6, Batch   2493, Loss  0.906262, Average Loss  0.868091, Time  0.358030
2021-09-09 17:38:06.600774 : Epoch  6, Batch   2494, Loss  0.858194, Average Loss  0.867970, Time  0.362873
2021-09-09 17:38:08.396809 : Epoch  6, Batch   2495, Loss  0.877555, Average Loss  0.868089, Time  0.387684
2021-09-09 17:38:10.276175 : Epoch  6, Batch   2496, Loss  0.868036, Average Loss  0.868093, Time  0.453558
2021-09-09 17:38:12.057914 : Epoch  6, Batch   2497, Loss  0.855485, Average Loss  0.868191, Time  0.357243
2021-09-09 17:38:13.847029 : Epoch  6, Batch   2498, Loss  0.889513, Average Loss  0.868258, Time  0.357594
2021-09-09 17:38:15.642764 : Epoch  6, Batch   2499, Loss  0.882101, Average Loss  0.868341, Time  0.378643
2021-09-09 17:38:17.506265 : Epoch  6, Batch   2500, Loss  0.851363, Average Loss  0.868276, Time  0.451955
2021-09-09 17:38:19.271182 : Epoch  6, Batch   2501, Loss  0.877106, Average Loss  0.868394, Time  0.356283
2021-09-09 17:38:21.059084 : Epoch  6, Batch   2502, Loss  0.884950, Average Loss  0.868575, Time  0.371539
2021-09-09 17:38:22.873179 : Epoch  6, Batch   2503, Loss  0.853967, Average Loss  0.868495, Time  0.390849
2021-09-09 17:38:24.774785 : Epoch  6, Batch   2504, Loss  0.860630, Average Loss  0.868470, Time  0.468021
2021-09-09 17:38:26.546113 : Epoch  6, Batch   2505, Loss  0.857424, Average Loss  0.868375, Time  0.355899
2021-09-09 17:38:28.321528 : Epoch  6, Batch   2506, Loss  0.884386, Average Loss  0.868487, Time  0.361424
2021-09-09 17:38:30.129103 : Epoch  6, Batch   2507, Loss  0.870092, Average Loss  0.868361, Time  0.380935
2021-09-09 17:38:32.004908 : Epoch  6, Batch   2508, Loss  0.863916, Average Loss  0.868402, Time  0.452692
2021-09-09 17:38:33.778228 : Epoch  6, Batch   2509, Loss  0.877131, Average Loss  0.868392, Time  0.355944
2021-09-09 17:38:35.566580 : Epoch  6, Batch   2510, Loss  0.870517, Average Loss  0.868381, Time  0.365246
2021-09-09 17:38:37.358893 : Epoch  6, Batch   2511, Loss  0.887092, Average Loss  0.868474, Time  0.381249
2021-09-09 17:38:39.218277 : Epoch  6, Batch   2512, Loss  0.839287, Average Loss  0.868294, Time  0.454411
2021-09-09 17:38:41.000712 : Epoch  6, Batch   2513, Loss  0.885336, Average Loss  0.868349, Time  0.365174
2021-09-09 17:38:42.801809 : Epoch  6, Batch   2514, Loss  0.866335, Average Loss  0.868439, Time  0.356336
2021-09-09 17:38:44.612088 : Epoch  6, Batch   2515, Loss  0.858099, Average Loss  0.868406, Time  0.384722
2021-09-09 17:38:46.484045 : Epoch  6, Batch   2516, Loss  0.834770, Average Loss  0.868071, Time  0.453298
2021-09-09 17:38:48.252363 : Epoch  6, Batch   2517, Loss  0.880039, Average Loss  0.868064, Time  0.361453
2021-09-09 17:38:50.038444 : Epoch  6, Batch   2518, Loss  0.854694, Average Loss  0.867932, Time  0.357465
2021-09-09 17:38:51.834449 : Epoch  6, Batch   2519, Loss  0.857786, Average Loss  0.867853, Time  0.389561
2021-09-09 17:38:53.703458 : Epoch  6, Batch   2520, Loss  0.867179, Average Loss  0.867881, Time  0.459355
2021-09-09 17:38:55.477221 : Epoch  6, Batch   2521, Loss  0.865642, Average Loss  0.867694, Time  0.357664
2021-09-09 17:38:57.255908 : Epoch  6, Batch   2522, Loss  0.870987, Average Loss  0.867780, Time  0.362846
2021-09-09 17:38:59.082159 : Epoch  6, Batch   2523, Loss  0.875115, Average Loss  0.867930, Time  0.398434
2021-09-09 17:39:00.959550 : Epoch  6, Batch   2524, Loss  0.897612, Average Loss  0.868066, Time  0.454811
2021-09-09 17:39:02.623712 : Epoch  6, Batch   2525, Loss  0.870497, Average Loss  0.868083, Time  0.348317
2021-09-09 17:39:04.395776 : Epoch  6, Batch   2526, Loss  0.896375, Average Loss  0.868174, Time  0.356158
2021-09-09 17:39:06.223919 : Epoch  6, Batch   2527, Loss  0.857695, Average Loss  0.868169, Time  0.405627
2021-09-09 17:39:08.098156 : Epoch  6, Batch   2528, Loss  0.892615, Average Loss  0.868118, Time  0.455390
2021-09-09 17:39:09.870625 : Epoch  6, Batch   2529, Loss  0.894968, Average Loss  0.868298, Time  0.355943
2021-09-09 17:39:11.653901 : Epoch  6, Batch   2530, Loss  0.874823, Average Loss  0.868454, Time  0.354220
2021-09-09 17:39:13.470777 : Epoch  6, Batch   2531, Loss  0.881808, Average Loss  0.868690, Time  0.384744
2021-09-09 17:39:15.332426 : Epoch  6, Batch   2532, Loss  0.880228, Average Loss  0.868775, Time  0.448246
2021-09-09 17:39:17.137897 : Epoch  6, Batch   2533, Loss  0.876394, Average Loss  0.868671, Time  0.357475
2021-09-09 17:39:18.901196 : Epoch  6, Batch   2534, Loss  0.836500, Average Loss  0.868524, Time  0.358113
2021-09-09 17:39:20.728450 : Epoch  6, Batch   2535, Loss  0.823312, Average Loss  0.868317, Time  0.390727
2021-09-09 17:39:22.613339 : Epoch  6, Batch   2536, Loss  0.885360, Average Loss  0.868529, Time  0.473069
2021-09-09 17:39:24.387758 : Epoch  6, Batch   2537, Loss  0.888298, Average Loss  0.868648, Time  0.357216
2021-09-09 17:39:26.172870 : Epoch  6, Batch   2538, Loss  0.894468, Average Loss  0.868794, Time  0.356457
2021-09-09 17:39:27.975935 : Epoch  6, Batch   2539, Loss  0.861116, Average Loss  0.868533, Time  0.391858
2021-09-09 17:39:29.851801 : Epoch  6, Batch   2540, Loss  0.899970, Average Loss  0.868609, Time  0.452233
2021-09-09 17:39:31.655064 : Epoch  6, Batch   2541, Loss  0.840510, Average Loss  0.868433, Time  0.355733
2021-09-09 17:39:33.447994 : Epoch  6, Batch   2542, Loss  0.868190, Average Loss  0.868364, Time  0.359532
2021-09-09 17:39:35.238419 : Epoch  6, Batch   2543, Loss  0.884336, Average Loss  0.868399, Time  0.369584
2021-09-09 17:39:37.129091 : Epoch  6, Batch   2544, Loss  0.838710, Average Loss  0.868217, Time  0.462958
2021-09-09 17:39:38.912795 : Epoch  6, Batch   2545, Loss  0.877134, Average Loss  0.868231, Time  0.357465
2021-09-09 17:44:30.177912 : CheckPoint: Validation Loss  0.00059071, Best Loss  0.00056427
2021-09-09 17:44:32.035806 : Epoch  6, Batch   2546, Loss  0.875745, Average Loss  0.868024, Time  0.419938
2021-09-09 17:44:33.936769 : Epoch  6, Batch   2547, Loss  0.840070, Average Loss  0.868048, Time  0.451560
2021-09-09 17:44:35.713625 : Epoch  6, Batch   2548, Loss  0.875277, Average Loss  0.868135, Time  0.335531
2021-09-09 17:44:37.507086 : Epoch  6, Batch   2549, Loss  0.844483, Average Loss  0.867938, Time  0.358171
2021-09-09 17:44:39.303757 : Epoch  6, Batch   2550, Loss  0.844614, Average Loss  0.868035, Time  0.358033
2021-09-09 17:44:41.192099 : Epoch  6, Batch   2551, Loss  0.850974, Average Loss  0.867971, Time  0.460532
2021-09-09 17:44:42.968134 : Epoch  6, Batch   2552, Loss  0.840258, Average Loss  0.867815, Time  0.352787
2021-09-09 17:44:44.742062 : Epoch  6, Batch   2553, Loss  0.892620, Average Loss  0.868074, Time  0.359212
2021-09-09 17:44:46.513967 : Epoch  6, Batch   2554, Loss  0.871514, Average Loss  0.868065, Time  0.356576
2021-09-09 17:44:48.375761 : Epoch  6, Batch   2555, Loss  0.843433, Average Loss  0.867847, Time  0.451849
2021-09-09 17:44:50.157108 : Epoch  6, Batch   2556, Loss  0.855933, Average Loss  0.867845, Time  0.361136
2021-09-09 17:44:51.923719 : Epoch  6, Batch   2557, Loss  0.864199, Average Loss  0.867823, Time  0.359987
2021-09-09 17:44:53.711578 : Epoch  6, Batch   2558, Loss  0.886115, Average Loss  0.867808, Time  0.372663
2021-09-09 17:44:55.587773 : Epoch  6, Batch   2559, Loss  0.884195, Average Loss  0.867879, Time  0.455336
2021-09-09 17:44:57.366760 : Epoch  6, Batch   2560, Loss  0.874236, Average Loss  0.867860, Time  0.356914
2021-09-09 17:44:59.144803 : Epoch  6, Batch   2561, Loss  0.859011, Average Loss  0.867715, Time  0.358015
2021-09-09 17:45:00.948101 : Epoch  6, Batch   2562, Loss  0.859351, Average Loss  0.867777, Time  0.385061
2021-09-09 17:45:02.815099 : Epoch  6, Batch   2563, Loss  0.838864, Average Loss  0.867648, Time  0.453114
2021-09-09 17:45:04.599772 : Epoch  6, Batch   2564, Loss  0.853154, Average Loss  0.867544, Time  0.374095
2021-09-09 17:45:06.386628 : Epoch  6, Batch   2565, Loss  0.864702, Average Loss  0.867520, Time  0.359507
2021-09-09 17:45:08.186762 : Epoch  6, Batch   2566, Loss  0.904203, Average Loss  0.867738, Time  0.378996
2021-09-09 17:45:10.072769 : Epoch  6, Batch   2567, Loss  0.869113, Average Loss  0.867622, Time  0.461795
2021-09-09 17:45:11.894169 : Epoch  6, Batch   2568, Loss  0.884202, Average Loss  0.867471, Time  0.371114
2021-09-09 17:45:13.684861 : Epoch  6, Batch   2569, Loss  0.866099, Average Loss  0.867616, Time  0.363598
2021-09-09 17:45:15.464775 : Epoch  6, Batch   2570, Loss  0.854822, Average Loss  0.867443, Time  0.366859
2021-09-09 17:45:17.343764 : Epoch  6, Batch   2571, Loss  0.858709, Average Loss  0.867397, Time  0.459833
2021-09-09 17:45:19.219768 : Epoch  6, Batch   2572, Loss  0.849408, Average Loss  0.867371, Time  0.452932
2021-09-09 17:45:20.994594 : Epoch  6, Batch   2573, Loss  0.861271, Average Loss  0.867341, Time  0.362660
2021-09-09 17:45:22.764116 : Epoch  6, Batch   2574, Loss  0.848000, Average Loss  0.867175, Time  0.359765
2021-09-09 17:45:24.598773 : Epoch  6, Batch   2575, Loss  0.874144, Average Loss  0.867244, Time  0.418135
2021-09-09 17:45:26.477090 : Epoch  6, Batch   2576, Loss  0.900606, Average Loss  0.867264, Time  0.454951
2021-09-09 17:45:28.247773 : Epoch  6, Batch   2577, Loss  0.857931, Average Loss  0.867100, Time  0.355542
2021-09-09 17:45:30.025860 : Epoch  6, Batch   2578, Loss  0.865723, Average Loss  0.867001, Time  0.359169
2021-09-09 17:45:31.868097 : Epoch  6, Batch   2579, Loss  0.884302, Average Loss  0.867004, Time  0.386213
2021-09-09 17:45:33.754153 : Epoch  6, Batch   2580, Loss  0.849396, Average Loss  0.866950, Time  0.455793
2021-09-09 17:45:35.511572 : Epoch  6, Batch   2581, Loss  0.873755, Average Loss  0.866982, Time  0.349886
2021-09-09 17:45:37.290965 : Epoch  6, Batch   2582, Loss  0.876379, Average Loss  0.867080, Time  0.360879
2021-09-09 17:45:39.061360 : Epoch  6, Batch   2583, Loss  0.859383, Average Loss  0.867121, Time  0.359387
2021-09-09 17:45:40.957109 : Epoch  6, Batch   2584, Loss  0.868199, Average Loss  0.867082, Time  0.455456
2021-09-09 17:45:42.766052 : Epoch  6, Batch   2585, Loss  0.875863, Average Loss  0.867008, Time  0.405050
2021-09-09 17:45:44.556386 : Epoch  6, Batch   2586, Loss  0.861419, Average Loss  0.866980, Time  0.361336
2021-09-09 17:45:46.341774 : Epoch  6, Batch   2587, Loss  0.844953, Average Loss  0.866914, Time  0.362263
2021-09-09 17:45:48.201105 : Epoch  6, Batch   2588, Loss  0.870205, Average Loss  0.866971, Time  0.450212
2021-09-09 17:45:50.086770 : Epoch  6, Batch   2589, Loss  0.844387, Average Loss  0.866785, Time  0.459434
2021-09-09 17:45:51.854760 : Epoch  6, Batch   2590, Loss  0.879632, Average Loss  0.867030, Time  0.356388
2021-09-09 17:45:53.627778 : Epoch  6, Batch   2591, Loss  0.848896, Average Loss  0.866892, Time  0.357596
2021-09-09 17:45:55.431403 : Epoch  6, Batch   2592, Loss  0.857773, Average Loss  0.867026, Time  0.384512
2021-09-09 17:45:57.326771 : Epoch  6, Batch   2593, Loss  0.846613, Average Loss  0.866802, Time  0.456979
2021-09-09 17:45:59.102101 : Epoch  6, Batch   2594, Loss  0.858679, Average Loss  0.866886, Time  0.373025
2021-09-09 17:46:00.891097 : Epoch  6, Batch   2595, Loss  0.881000, Average Loss  0.866934, Time  0.356976
2021-09-09 17:46:02.697256 : Epoch  6, Batch   2596, Loss  0.846992, Average Loss  0.866798, Time  0.375114
2021-09-09 17:46:04.591064 : Epoch  6, Batch   2597, Loss  0.860099, Average Loss  0.866789, Time  0.449332
2021-09-09 17:46:06.339937 : Epoch  6, Batch   2598, Loss  0.861634, Average Loss  0.866776, Time  0.335636
2021-09-09 17:46:08.105821 : Epoch  6, Batch   2599, Loss  0.858790, Average Loss  0.866633, Time  0.356470
2021-09-09 17:46:09.897802 : Epoch  6, Batch   2600, Loss  0.863062, Average Loss  0.866454, Time  0.358438
2021-09-09 17:46:11.787920 : Epoch  6, Batch   2601, Loss  0.869795, Average Loss  0.866429, Time  0.451141
2021-09-09 17:46:13.560189 : Epoch  6, Batch   2602, Loss  0.866258, Average Loss  0.866463, Time  0.356520
2021-09-09 17:46:15.332060 : Epoch  6, Batch   2603, Loss  0.820541, Average Loss  0.866272, Time  0.357566
2021-09-09 17:46:17.151883 : Epoch  6, Batch   2604, Loss  0.862079, Average Loss  0.866270, Time  0.364151
2021-09-09 17:46:19.032280 : Epoch  6, Batch   2605, Loss  0.894330, Average Loss  0.866369, Time  0.450103
2021-09-09 17:46:20.810103 : Epoch  6, Batch   2606, Loss  0.866333, Average Loss  0.866507, Time  0.361408
2021-09-09 17:46:22.597763 : Epoch  6, Batch   2607, Loss  0.862945, Average Loss  0.866397, Time  0.360305
2021-09-09 17:46:24.406956 : Epoch  6, Batch   2608, Loss  0.842364, Average Loss  0.866283, Time  0.376842
2021-09-09 17:46:26.287873 : Epoch  6, Batch   2609, Loss  0.858473, Average Loss  0.866196, Time  0.452817
2021-09-09 17:46:28.069097 : Epoch  6, Batch   2610, Loss  0.870053, Average Loss  0.866263, Time  0.356665
2021-09-09 17:46:29.841983 : Epoch  6, Batch   2611, Loss  0.859100, Average Loss  0.866215, Time  0.358054
2021-09-09 17:46:31.627109 : Epoch  6, Batch   2612, Loss  0.891459, Average Loss  0.866206, Time  0.373305
2021-09-09 17:46:33.501768 : Epoch  6, Batch   2613, Loss  0.869835, Average Loss  0.866380, Time  0.454083
2021-09-09 17:46:35.275095 : Epoch  6, Batch   2614, Loss  0.852717, Average Loss  0.866170, Time  0.354139
2021-09-09 17:46:37.037931 : Epoch  6, Batch   2615, Loss  0.872086, Average Loss  0.866215, Time  0.357611
2021-09-09 17:46:38.841113 : Epoch  6, Batch   2616, Loss  0.871816, Average Loss  0.866240, Time  0.382578
2021-09-09 17:46:40.707774 : Epoch  6, Batch   2617, Loss  0.871720, Average Loss  0.866239, Time  0.452578
2021-09-09 17:46:42.493577 : Epoch  6, Batch   2618, Loss  0.855802, Average Loss  0.866085, Time  0.357616
2021-09-09 17:46:44.274105 : Epoch  6, Batch   2619, Loss  0.882613, Average Loss  0.866259, Time  0.360759
2021-09-09 17:46:46.072097 : Epoch  6, Batch   2620, Loss  0.846629, Average Loss  0.866167, Time  0.376610
2021-09-09 17:46:47.945113 : Epoch  6, Batch   2621, Loss  0.840583, Average Loss  0.866074, Time  0.449568
2021-09-09 17:46:49.713107 : Epoch  6, Batch   2622, Loss  0.851809, Average Loss  0.866011, Time  0.357143
2021-09-09 17:46:51.531236 : Epoch  6, Batch   2623, Loss  0.865992, Average Loss  0.866207, Time  0.358220
2021-09-09 17:46:53.345106 : Epoch  6, Batch   2624, Loss  0.871533, Average Loss  0.866438, Time  0.376350
2021-09-09 17:46:55.216777 : Epoch  6, Batch   2625, Loss  0.869761, Average Loss  0.866520, Time  0.459810
2021-09-09 17:46:56.988232 : Epoch  6, Batch   2626, Loss  0.879614, Average Loss  0.866590, Time  0.356332
2021-09-09 17:46:58.761099 : Epoch  6, Batch   2627, Loss  0.874930, Average Loss  0.866571, Time  0.357808
2021-09-09 17:47:00.574773 : Epoch  6, Batch   2628, Loss  0.873550, Average Loss  0.866643, Time  0.379169
2021-09-09 17:47:02.462032 : Epoch  6, Batch   2629, Loss  0.851838, Average Loss  0.866525, Time  0.457518
2021-09-09 17:47:04.287774 : Epoch  6, Batch   2630, Loss  0.844116, Average Loss  0.866569, Time  0.374843
2021-09-09 17:47:06.066289 : Epoch  6, Batch   2631, Loss  0.847413, Average Loss  0.866274, Time  0.362146
2021-09-09 17:47:07.836811 : Epoch  6, Batch   2632, Loss  0.812399, Average Loss  0.865988, Time  0.356156
2021-09-09 17:47:09.723089 : Epoch  6, Batch   2633, Loss  0.842238, Average Loss  0.865725, Time  0.454905
2021-09-09 17:47:11.601101 : Epoch  6, Batch   2634, Loss  0.866269, Average Loss  0.865650, Time  0.447316
2021-09-09 17:47:13.373224 : Epoch  6, Batch   2635, Loss  0.879116, Average Loss  0.865727, Time  0.354074
2021-09-09 17:47:15.151763 : Epoch  6, Batch   2636, Loss  0.850708, Average Loss  0.865633, Time  0.367483
2021-09-09 17:47:16.990843 : Epoch  6, Batch   2637, Loss  0.858392, Average Loss  0.865606, Time  0.408850
2021-09-09 17:47:18.892761 : Epoch  6, Batch   2638, Loss  0.883000, Average Loss  0.865726, Time  0.474296
2021-09-09 17:47:20.678014 : Epoch  6, Batch   2639, Loss  0.869299, Average Loss  0.865712, Time  0.364238
2021-09-09 17:47:22.476871 : Epoch  6, Batch   2640, Loss  0.885752, Average Loss  0.865610, Time  0.356734
2021-09-09 17:47:24.302771 : Epoch  6, Batch   2641, Loss  0.831758, Average Loss  0.865498, Time  0.389415
2021-09-09 17:47:26.176104 : Epoch  6, Batch   2642, Loss  0.862653, Average Loss  0.865350, Time  0.453177
2021-09-09 17:47:27.937880 : Epoch  6, Batch   2643, Loss  0.845997, Average Loss  0.865294, Time  0.355298
2021-09-09 17:47:29.712093 : Epoch  6, Batch   2644, Loss  0.864404, Average Loss  0.865403, Time  0.356641
2021-09-09 17:47:31.540805 : Epoch  6, Batch   2645, Loss  0.886640, Average Loss  0.865423, Time  0.401904
2021-09-09 17:52:22.823719 : CheckPoint: Validation Loss  0.00060830, Best Loss  0.00056427
2021-09-09 17:52:24.753950 : Epoch  6, Batch   2646, Loss  0.851006, Average Loss  0.865309, Time  0.476691
2021-09-09 17:52:26.516818 : Epoch  6, Batch   2647, Loss  0.897398, Average Loss  0.865415, Time  0.341453
2021-09-09 17:52:28.309496 : Epoch  6, Batch   2648, Loss  0.853639, Average Loss  0.865393, Time  0.359070
2021-09-09 17:52:30.096765 : Epoch  6, Batch   2649, Loss  0.851644, Average Loss  0.865343, Time  0.355994
2021-09-09 17:52:31.968191 : Epoch  6, Batch   2650, Loss  0.885828, Average Loss  0.865342, Time  0.455493
2021-09-09 17:52:33.764778 : Epoch  6, Batch   2651, Loss  0.885700, Average Loss  0.865379, Time  0.357723
2021-09-09 17:52:35.548939 : Epoch  6, Batch   2652, Loss  0.863251, Average Loss  0.865238, Time  0.365789
2021-09-09 17:52:37.350771 : Epoch  6, Batch   2653, Loss  0.888497, Average Loss  0.865394, Time  0.365316
2021-09-09 17:52:39.251225 : Epoch  6, Batch   2654, Loss  0.885708, Average Loss  0.865449, Time  0.476301
2021-09-09 17:52:41.007778 : Epoch  6, Batch   2655, Loss  0.856770, Average Loss  0.865358, Time  0.357248
2021-09-09 17:52:42.787944 : Epoch  6, Batch   2656, Loss  0.873602, Average Loss  0.865426, Time  0.357224
2021-09-09 17:52:44.585105 : Epoch  6, Batch   2657, Loss  0.866749, Average Loss  0.865387, Time  0.367743
2021-09-09 17:52:46.459035 : Epoch  6, Batch   2658, Loss  0.867673, Average Loss  0.865559, Time  0.459376
2021-09-09 17:52:48.246117 : Epoch  6, Batch   2659, Loss  0.856362, Average Loss  0.865625, Time  0.361686
2021-09-09 17:52:50.053770 : Epoch  6, Batch   2660, Loss  0.894660, Average Loss  0.865917, Time  0.359059
2021-09-09 17:52:51.857819 : Epoch  6, Batch   2661, Loss  0.909511, Average Loss  0.866212, Time  0.383956
2021-09-09 17:52:53.728776 : Epoch  6, Batch   2662, Loss  0.832904, Average Loss  0.866004, Time  0.458606
2021-09-09 17:52:55.525100 : Epoch  6, Batch   2663, Loss  0.883354, Average Loss  0.866011, Time  0.363568
2021-09-09 17:52:57.308776 : Epoch  6, Batch   2664, Loss  0.883653, Average Loss  0.866082, Time  0.360775
2021-09-09 17:52:59.135246 : Epoch  6, Batch   2665, Loss  0.870182, Average Loss  0.866078, Time  0.400319
2021-09-09 17:53:01.011769 : Epoch  6, Batch   2666, Loss  0.858582, Average Loss  0.866045, Time  0.453205
2021-09-09 17:53:02.795349 : Epoch  6, Batch   2667, Loss  0.858220, Average Loss  0.865972, Time  0.365220
2021-09-09 17:53:04.582090 : Epoch  6, Batch   2668, Loss  0.855200, Average Loss  0.865857, Time  0.356753
2021-09-09 17:53:06.397283 : Epoch  6, Batch   2669, Loss  0.861055, Average Loss  0.865829, Time  0.394349
2021-09-09 17:53:08.273234 : Epoch  6, Batch   2670, Loss  0.864240, Average Loss  0.865707, Time  0.450931
2021-09-09 17:53:10.080781 : Epoch  6, Batch   2671, Loss  0.865170, Average Loss  0.865869, Time  0.365985
2021-09-09 17:53:11.965013 : Epoch  6, Batch   2672, Loss  0.854605, Average Loss  0.865974, Time  0.364233
2021-09-09 17:53:13.755874 : Epoch  6, Batch   2673, Loss  0.872809, Average Loss  0.866100, Time  0.364094
2021-09-09 17:53:15.624783 : Epoch  6, Batch   2674, Loss  0.849770, Average Loss  0.865875, Time  0.471722
2021-09-09 17:53:17.397817 : Epoch  6, Batch   2675, Loss  0.864061, Average Loss  0.865775, Time  0.356727
2021-09-09 17:53:19.200814 : Epoch  6, Batch   2676, Loss  0.831805, Average Loss  0.865547, Time  0.356834
2021-09-09 17:53:21.030117 : Epoch  6, Batch   2677, Loss  0.875746, Average Loss  0.865693, Time  0.382470
2021-09-09 17:53:22.946975 : Epoch  6, Batch   2678, Loss  0.867595, Average Loss  0.865749, Time  0.456769
2021-09-09 17:53:24.704815 : Epoch  6, Batch   2679, Loss  0.853998, Average Loss  0.865705, Time  0.342554
2021-09-09 17:53:26.481814 : Epoch  6, Batch   2680, Loss  0.890651, Average Loss  0.865850, Time  0.367635
2021-09-09 17:53:28.253106 : Epoch  6, Batch   2681, Loss  0.874751, Average Loss  0.865933, Time  0.354203
2021-09-09 17:53:30.129946 : Epoch  6, Batch   2682, Loss  0.865176, Average Loss  0.865819, Time  0.467746
2021-09-09 17:53:31.900781 : Epoch  6, Batch   2683, Loss  0.865056, Average Loss  0.865906, Time  0.369438
2021-09-09 17:53:33.681190 : Epoch  6, Batch   2684, Loss  0.870304, Average Loss  0.866090, Time  0.361598
2021-09-09 17:53:35.474888 : Epoch  6, Batch   2685, Loss  0.886703, Average Loss  0.866302, Time  0.389512
2021-09-09 17:53:37.372827 : Epoch  6, Batch   2686, Loss  0.865565, Average Loss  0.866325, Time  0.465466
2021-09-09 17:53:39.168761 : Epoch  6, Batch   2687, Loss  0.859592, Average Loss  0.866386, Time  0.341563
2021-09-09 17:53:40.958845 : Epoch  6, Batch   2688, Loss  0.905240, Average Loss  0.866458, Time  0.367887
2021-09-09 17:53:42.752821 : Epoch  6, Batch   2689, Loss  0.825885, Average Loss  0.866279, Time  0.383137
2021-09-09 17:53:44.637126 : Epoch  6, Batch   2690, Loss  0.897049, Average Loss  0.866419, Time  0.457110
2021-09-09 17:53:46.406431 : Epoch  6, Batch   2691, Loss  0.870846, Average Loss  0.866294, Time  0.360271
2021-09-09 17:53:48.174888 : Epoch  6, Batch   2692, Loss  0.871905, Average Loss  0.866363, Time  0.360016
2021-09-09 17:53:50.009457 : Epoch  6, Batch   2693, Loss  0.867204, Average Loss  0.866168, Time  0.415658
2021-09-09 17:53:51.883110 : Epoch  6, Batch   2694, Loss  0.852687, Average Loss  0.866141, Time  0.450091
2021-09-09 17:53:53.678780 : Epoch  6, Batch   2695, Loss  0.844692, Average Loss  0.865976, Time  0.364214
2021-09-09 17:53:55.476242 : Epoch  6, Batch   2696, Loss  0.870261, Average Loss  0.865987, Time  0.368328
2021-09-09 17:53:57.279787 : Epoch  6, Batch   2697, Loss  0.857237, Average Loss  0.865996, Time  0.384044
2021-09-09 17:53:59.162880 : Epoch  6, Batch   2698, Loss  0.804985, Average Loss  0.865574, Time  0.462262
2021-09-09 17:54:00.968106 : Epoch  6, Batch   2699, Loss  0.885421, Average Loss  0.865590, Time  0.359808
2021-09-09 17:54:02.770847 : Epoch  6, Batch   2700, Loss  0.857746, Average Loss  0.865622, Time  0.356693
2021-09-09 17:54:04.533830 : Epoch  6, Batch   2701, Loss  0.861476, Average Loss  0.865544, Time  0.360353
2021-09-09 17:54:06.414995 : Epoch  6, Batch   2702, Loss  0.885522, Average Loss  0.865547, Time  0.465360
2021-09-09 17:54:08.173806 : Epoch  6, Batch   2703, Loss  0.859552, Average Loss  0.865575, Time  0.355836
2021-09-09 17:54:09.947913 : Epoch  6, Batch   2704, Loss  0.871214, Average Loss  0.865628, Time  0.361918
2021-09-09 17:54:11.785765 : Epoch  6, Batch   2705, Loss  0.854084, Average Loss  0.865611, Time  0.386971
2021-09-09 17:54:13.705814 : Epoch  6, Batch   2706, Loss  0.866389, Average Loss  0.865521, Time  0.460274
2021-09-09 17:54:15.516776 : Epoch  6, Batch   2707, Loss  0.845946, Average Loss  0.865400, Time  0.357048
2021-09-09 17:54:17.302766 : Epoch  6, Batch   2708, Loss  0.881937, Average Loss  0.865490, Time  0.358056
2021-09-09 17:54:19.103893 : Epoch  6, Batch   2709, Loss  0.841757, Average Loss  0.865313, Time  0.388543
2021-09-09 17:54:20.994780 : Epoch  6, Batch   2710, Loss  0.865398, Average Loss  0.865288, Time  0.456658
2021-09-09 17:54:22.781217 : Epoch  6, Batch   2711, Loss  0.847591, Average Loss  0.865090, Time  0.356179
2021-09-09 17:54:24.609097 : Epoch  6, Batch   2712, Loss  0.862991, Average Loss  0.865209, Time  0.368745
2021-09-09 17:54:26.411234 : Epoch  6, Batch   2713, Loss  0.883436, Average Loss  0.865199, Time  0.371061
2021-09-09 17:54:28.272867 : Epoch  6, Batch   2714, Loss  0.844585, Average Loss  0.865091, Time  0.452399
2021-09-09 17:54:30.046186 : Epoch  6, Batch   2715, Loss  0.870798, Average Loss  0.865154, Time  0.368160
2021-09-09 17:54:31.815098 : Epoch  6, Batch   2716, Loss  0.843529, Average Loss  0.865198, Time  0.356758
2021-09-09 17:54:33.624772 : Epoch  6, Batch   2717, Loss  0.859399, Average Loss  0.865095, Time  0.389147
2021-09-09 17:54:35.503805 : Epoch  6, Batch   2718, Loss  0.887757, Average Loss  0.865260, Time  0.457566
2021-09-09 17:54:37.286768 : Epoch  6, Batch   2719, Loss  0.891038, Average Loss  0.865426, Time  0.358596
2021-09-09 17:54:39.049959 : Epoch  6, Batch   2720, Loss  0.883651, Average Loss  0.865509, Time  0.356832
2021-09-09 17:54:40.834097 : Epoch  6, Batch   2721, Loss  0.881673, Average Loss  0.865589, Time  0.380980
2021-09-09 17:54:42.705946 : Epoch  6, Batch   2722, Loss  0.890695, Average Loss  0.865687, Time  0.466441
2021-09-09 17:54:44.502785 : Epoch  6, Batch   2723, Loss  0.890011, Average Loss  0.865762, Time  0.359101
2021-09-09 17:54:46.287778 : Epoch  6, Batch   2724, Loss  0.849163, Average Loss  0.865520, Time  0.359540
2021-09-09 17:54:48.085955 : Epoch  6, Batch   2725, Loss  0.852527, Average Loss  0.865430, Time  0.377547
2021-09-09 17:54:49.963778 : Epoch  6, Batch   2726, Loss  0.852633, Average Loss  0.865211, Time  0.461018
2021-09-09 17:54:51.726519 : Epoch  6, Batch   2727, Loss  0.863184, Average Loss  0.865238, Time  0.359497
2021-09-09 17:54:53.504020 : Epoch  6, Batch   2728, Loss  0.874859, Average Loss  0.865150, Time  0.359858
2021-09-09 17:54:55.308923 : Epoch  6, Batch   2729, Loss  0.844466, Average Loss  0.864897, Time  0.383792
2021-09-09 17:54:57.179764 : Epoch  6, Batch   2730, Loss  0.843529, Average Loss  0.864741, Time  0.462504
2021-09-09 17:54:58.967953 : Epoch  6, Batch   2731, Loss  0.863600, Average Loss  0.864650, Time  0.359605
2021-09-09 17:55:00.750786 : Epoch  6, Batch   2732, Loss  0.862891, Average Loss  0.864563, Time  0.359714
2021-09-09 17:55:02.564313 : Epoch  6, Batch   2733, Loss  0.884622, Average Loss  0.864604, Time  0.379191
2021-09-09 17:55:04.435949 : Epoch  6, Batch   2734, Loss  0.868467, Average Loss  0.864764, Time  0.458313
2021-09-09 17:55:06.240110 : Epoch  6, Batch   2735, Loss  0.872422, Average Loss  0.865009, Time  0.357171
2021-09-09 17:55:08.032022 : Epoch  6, Batch   2736, Loss  0.888107, Average Loss  0.865023, Time  0.366454
2021-09-09 17:55:09.859242 : Epoch  6, Batch   2737, Loss  0.830716, Average Loss  0.864735, Time  0.395519
2021-09-09 17:55:11.741259 : Epoch  6, Batch   2738, Loss  0.872362, Average Loss  0.864625, Time  0.454355
2021-09-09 17:55:13.516237 : Epoch  6, Batch   2739, Loss  0.862049, Average Loss  0.864629, Time  0.348835
2021-09-09 17:55:15.329775 : Epoch  6, Batch   2740, Loss  0.866569, Average Loss  0.864462, Time  0.358641
2021-09-09 17:55:17.131246 : Epoch  6, Batch   2741, Loss  0.848436, Average Loss  0.864502, Time  0.361111
2021-09-09 17:55:19.035108 : Epoch  6, Batch   2742, Loss  0.880388, Average Loss  0.864563, Time  0.463511
2021-09-09 17:55:20.815193 : Epoch  6, Batch   2743, Loss  0.868635, Average Loss  0.864485, Time  0.357040
2021-09-09 17:55:22.584773 : Epoch  6, Batch   2744, Loss  0.887172, Average Loss  0.864727, Time  0.365711
2021-09-09 17:55:24.395848 : Epoch  6, Batch   2745, Loss  0.869663, Average Loss  0.864689, Time  0.380250
2021-09-09 18:00:15.526707 : CheckPoint: Validation Loss  0.00059975, Best Loss  0.00056427
2021-09-09 18:00:17.321011 : Epoch  6, Batch   2746, Loss  0.869613, Average Loss  0.864659, Time  0.362555
2021-09-09 18:00:19.174763 : Epoch  6, Batch   2747, Loss  0.821774, Average Loss  0.864567, Time  0.421434
2021-09-09 18:00:21.049813 : Epoch  6, Batch   2748, Loss  0.880907, Average Loss  0.864596, Time  0.453258
2021-09-09 18:00:22.833766 : Epoch  6, Batch   2749, Loss  0.865075, Average Loss  0.864698, Time  0.356446
2021-09-09 18:00:24.635483 : Epoch  6, Batch   2750, Loss  0.897764, Average Loss  0.864964, Time  0.359136
2021-09-09 18:00:26.452772 : Epoch  6, Batch   2751, Loss  0.860606, Average Loss  0.865012, Time  0.392848
2021-09-09 18:00:28.381811 : Epoch  6, Batch   2752, Loss  0.885811, Average Loss  0.865240, Time  0.469737
2021-09-09 18:00:30.223829 : Epoch  6, Batch   2753, Loss  0.852943, Average Loss  0.865042, Time  0.421565
2021-09-09 18:00:31.997776 : Epoch  6, Batch   2754, Loss  0.879429, Average Loss  0.865081, Time  0.359632
2021-09-09 18:00:33.784762 : Epoch  6, Batch   2755, Loss  0.897287, Average Loss  0.865351, Time  0.363681
2021-09-09 18:00:35.681785 : Epoch  6, Batch   2756, Loss  0.868826, Average Loss  0.865415, Time  0.448583
2021-09-09 18:00:37.565776 : Epoch  6, Batch   2757, Loss  0.853536, Average Loss  0.865362, Time  0.455003
2021-09-09 18:00:39.360771 : Epoch  6, Batch   2758, Loss  0.855077, Average Loss  0.865207, Time  0.360537
2021-09-09 18:00:41.179930 : Epoch  6, Batch   2759, Loss  0.880808, Average Loss  0.865190, Time  0.366160
2021-09-09 18:00:42.982773 : Epoch  6, Batch   2760, Loss  0.866950, Average Loss  0.865153, Time  0.384804
2021-09-09 18:00:44.855910 : Epoch  6, Batch   2761, Loss  0.865909, Average Loss  0.865188, Time  0.458396
2021-09-09 18:00:46.639425 : Epoch  6, Batch   2762, Loss  0.879833, Average Loss  0.865290, Time  0.367073
2021-09-09 18:00:48.406778 : Epoch  6, Batch   2763, Loss  0.881123, Average Loss  0.865501, Time  0.355847
2021-09-09 18:00:50.240776 : Epoch  6, Batch   2764, Loss  0.884717, Average Loss  0.865659, Time  0.370354
2021-09-09 18:00:52.132817 : Epoch  6, Batch   2765, Loss  0.874459, Average Loss  0.865708, Time  0.469641
2021-09-09 18:00:53.912775 : Epoch  6, Batch   2766, Loss  0.858965, Average Loss  0.865482, Time  0.356916
2021-09-09 18:00:55.712359 : Epoch  6, Batch   2767, Loss  0.884585, Average Loss  0.865559, Time  0.367417
2021-09-09 18:00:57.499778 : Epoch  6, Batch   2768, Loss  0.882832, Average Loss  0.865552, Time  0.366691
2021-09-09 18:00:59.364812 : Epoch  6, Batch   2769, Loss  0.871038, Average Loss  0.865577, Time  0.458158
2021-09-09 18:01:01.130775 : Epoch  6, Batch   2770, Loss  0.883201, Average Loss  0.865719, Time  0.358894
2021-09-09 18:01:02.912764 : Epoch  6, Batch   2771, Loss  0.882511, Average Loss  0.865838, Time  0.355661
2021-09-09 18:01:04.715809 : Epoch  6, Batch   2772, Loss  0.866113, Average Loss  0.865921, Time  0.395100
2021-09-09 18:01:06.622807 : Epoch  6, Batch   2773, Loss  0.848102, Average Loss  0.865856, Time  0.470452
2021-09-09 18:01:08.410777 : Epoch  6, Batch   2774, Loss  0.853258, Average Loss  0.865882, Time  0.349946
2021-09-09 18:01:10.208970 : Epoch  6, Batch   2775, Loss  0.862316, Average Loss  0.865823, Time  0.363222
2021-09-09 18:01:12.034102 : Epoch  6, Batch   2776, Loss  0.886509, Average Loss  0.865752, Time  0.355478
2021-09-09 18:01:13.922107 : Epoch  6, Batch   2777, Loss  0.846831, Average Loss  0.865697, Time  0.469975
2021-09-09 18:01:15.754783 : Epoch  6, Batch   2778, Loss  0.848863, Average Loss  0.865612, Time  0.356905
2021-09-09 18:01:17.541777 : Epoch  6, Batch   2779, Loss  0.898920, Average Loss  0.865686, Time  0.364621
2021-09-09 18:01:19.320900 : Epoch  6, Batch   2780, Loss  0.875184, Average Loss  0.865814, Time  0.368773
2021-09-09 18:01:21.204774 : Epoch  6, Batch   2781, Loss  0.864127, Average Loss  0.865766, Time  0.453379
2021-09-09 18:01:22.999007 : Epoch  6, Batch   2782, Loss  0.888601, Average Loss  0.865827, Time  0.359857
2021-09-09 18:01:24.816091 : Epoch  6, Batch   2783, Loss  0.834710, Average Loss  0.865704, Time  0.364858
2021-09-09 18:01:26.624037 : Epoch  6, Batch   2784, Loss  0.894700, Average Loss  0.865837, Time  0.367943
2021-09-09 18:01:28.521072 : Epoch  6, Batch   2785, Loss  0.855360, Average Loss  0.865734, Time  0.457346
2021-09-09 18:01:30.289202 : Epoch  6, Batch   2786, Loss  0.855297, Average Loss  0.865703, Time  0.346288
2021-09-09 18:01:32.086774 : Epoch  6, Batch   2787, Loss  0.879292, Average Loss  0.865875, Time  0.364565
2021-09-09 18:01:33.905779 : Epoch  6, Batch   2788, Loss  0.882635, Average Loss  0.865937, Time  0.366743
2021-09-09 18:01:35.800763 : Epoch  6, Batch   2789, Loss  0.880544, Average Loss  0.866118, Time  0.461237
2021-09-09 18:01:37.637988 : Epoch  6, Batch   2790, Loss  0.860945, Average Loss  0.866025, Time  0.427596
2021-09-09 18:01:39.429223 : Epoch  6, Batch   2791, Loss  0.887245, Average Loss  0.866216, Time  0.367822
2021-09-09 18:01:41.224164 : Epoch  6, Batch   2792, Loss  0.879514, Average Loss  0.866325, Time  0.368307
2021-09-09 18:01:43.131577 : Epoch  6, Batch   2793, Loss  0.866051, Average Loss  0.866422, Time  0.424387
2021-09-09 18:01:45.060767 : Epoch  6, Batch   2794, Loss  0.882342, Average Loss  0.866541, Time  0.456218
2021-09-09 18:01:46.997219 : Epoch  6, Batch   2795, Loss  0.872148, Average Loss  0.866496, Time  0.440989
2021-09-09 18:01:48.859763 : Epoch  6, Batch   2796, Loss  0.864150, Average Loss  0.866582, Time  0.365691
2021-09-09 18:01:50.773907 : Epoch  6, Batch   2797, Loss  0.864748, Average Loss  0.866605, Time  0.357979
2021-09-09 18:01:52.615786 : Epoch  6, Batch   2798, Loss  0.897880, Average Loss  0.866787, Time  0.374070
2021-09-09 18:01:54.483254 : Epoch  6, Batch   2799, Loss  0.861634, Average Loss  0.866801, Time  0.453382
2021-09-09 18:01:56.282987 : Epoch  6, Batch   2800, Loss  0.869878, Average Loss  0.866835, Time  0.349614
2021-09-09 18:01:58.127617 : Epoch  6, Batch   2801, Loss  0.845296, Average Loss  0.866712, Time  0.370242
2021-09-09 18:01:59.929776 : Epoch  6, Batch   2802, Loss  0.875905, Average Loss  0.866761, Time  0.362482
2021-09-09 18:02:01.822879 : Epoch  6, Batch   2803, Loss  0.829716, Average Loss  0.866807, Time  0.464680
2021-09-09 18:02:03.697768 : Epoch  6, Batch   2804, Loss  0.871661, Average Loss  0.866854, Time  0.422376
2021-09-09 18:02:05.487123 : Epoch  6, Batch   2805, Loss  0.880714, Average Loss  0.866786, Time  0.365058
2021-09-09 18:02:07.280209 : Epoch  6, Batch   2806, Loss  0.874329, Average Loss  0.866826, Time  0.362026
2021-09-09 18:02:09.161947 : Epoch  6, Batch   2807, Loss  0.849263, Average Loss  0.866758, Time  0.457110
2021-09-09 18:02:11.092578 : Epoch  6, Batch   2808, Loss  0.883634, Average Loss  0.866964, Time  0.472094
2021-09-09 18:02:12.921314 : Epoch  6, Batch   2809, Loss  0.847675, Average Loss  0.866910, Time  0.390702
2021-09-09 18:02:14.736592 : Epoch  6, Batch   2810, Loss  0.850526, Average Loss  0.866813, Time  0.363793
2021-09-09 18:02:16.564784 : Epoch  6, Batch   2811, Loss  0.894521, Average Loss  0.866990, Time  0.374102
2021-09-09 18:02:18.476779 : Epoch  6, Batch   2812, Loss  0.870891, Average Loss  0.866887, Time  0.462106
2021-09-09 18:02:20.278782 : Epoch  6, Batch   2813, Loss  0.873883, Average Loss  0.866907, Time  0.364316
2021-09-09 18:02:22.070037 : Epoch  6, Batch   2814, Loss  0.876345, Average Loss  0.867025, Time  0.363690
2021-09-09 18:02:23.886429 : Epoch  6, Batch   2815, Loss  0.842537, Average Loss  0.866878, Time  0.372323
2021-09-09 18:02:25.782337 : Epoch  6, Batch   2816, Loss  0.887278, Average Loss  0.866955, Time  0.462225
2021-09-09 18:02:27.598782 : Epoch  6, Batch   2817, Loss  0.866095, Average Loss  0.866927, Time  0.363256
2021-09-09 18:02:29.405783 : Epoch  6, Batch   2818, Loss  0.855162, Average Loss  0.866924, Time  0.362125
2021-09-09 18:02:31.236044 : Epoch  6, Batch   2819, Loss  0.856733, Average Loss  0.866794, Time  0.385950
2021-09-09 18:02:33.120781 : Epoch  6, Batch   2820, Loss  0.854279, Average Loss  0.866832, Time  0.461987
2021-09-09 18:02:34.915243 : Epoch  6, Batch   2821, Loss  0.891500, Average Loss  0.867087, Time  0.365702
2021-09-09 18:02:36.706819 : Epoch  6, Batch   2822, Loss  0.873051, Average Loss  0.867193, Time  0.362242
2021-09-09 18:02:38.545777 : Epoch  6, Batch   2823, Loss  0.892851, Average Loss  0.867327, Time  0.419685
2021-09-09 18:02:40.422841 : Epoch  6, Batch   2824, Loss  0.895187, Average Loss  0.867446, Time  0.460092
2021-09-09 18:02:42.229764 : Epoch  6, Batch   2825, Loss  0.873037, Average Loss  0.867462, Time  0.361907
2021-09-09 18:02:44.019788 : Epoch  6, Batch   2826, Loss  0.878276, Average Loss  0.867455, Time  0.360444
2021-09-09 18:02:45.854218 : Epoch  6, Batch   2827, Loss  0.867730, Average Loss  0.867419, Time  0.418034
2021-09-09 18:02:47.735774 : Epoch  6, Batch   2828, Loss  0.885808, Average Loss  0.867481, Time  0.459055
2021-09-09 18:02:49.535765 : Epoch  6, Batch   2829, Loss  0.920746, Average Loss  0.867825, Time  0.362344
2021-09-09 18:02:51.336905 : Epoch  6, Batch   2830, Loss  0.875908, Average Loss  0.867984, Time  0.361611
2021-09-09 18:02:53.190786 : Epoch  6, Batch   2831, Loss  0.869531, Average Loss  0.868095, Time  0.419421
2021-09-09 18:02:55.088228 : Epoch  6, Batch   2832, Loss  0.873410, Average Loss  0.868400, Time  0.465883
2021-09-09 18:02:56.897784 : Epoch  6, Batch   2833, Loss  0.850962, Average Loss  0.868444, Time  0.368173
2021-09-09 18:02:58.725923 : Epoch  6, Batch   2834, Loss  0.864080, Average Loss  0.868433, Time  0.390225
2021-09-09 18:03:00.573786 : Epoch  6, Batch   2835, Loss  0.851633, Average Loss  0.868295, Time  0.374828
2021-09-09 18:03:02.455778 : Epoch  6, Batch   2836, Loss  0.864202, Average Loss  0.868363, Time  0.468886
2021-09-09 18:03:04.240513 : Epoch  6, Batch   2837, Loss  0.853194, Average Loss  0.868337, Time  0.363208
2021-09-09 18:03:06.052781 : Epoch  6, Batch   2838, Loss  0.868678, Average Loss  0.868265, Time  0.385079
2021-09-09 18:03:07.898778 : Epoch  6, Batch   2839, Loss  0.851940, Average Loss  0.868178, Time  0.403138
2021-09-09 18:03:09.807783 : Epoch  6, Batch   2840, Loss  0.884037, Average Loss  0.868170, Time  0.477701
2021-09-09 18:03:11.597044 : Epoch  6, Batch   2841, Loss  0.864500, Average Loss  0.868333, Time  0.361899
2021-09-09 18:03:13.413843 : Epoch  6, Batch   2842, Loss  0.892707, Average Loss  0.868484, Time  0.384712
2021-09-09 18:03:15.230016 : Epoch  6, Batch   2843, Loss  0.856066, Average Loss  0.868534, Time  0.371674
2021-09-09 18:03:17.135826 : Epoch  6, Batch   2844, Loss  0.877041, Average Loss  0.868597, Time  0.469004
2021-09-09 18:03:18.931779 : Epoch  6, Batch   2845, Loss  0.877697, Average Loss  0.868552, Time  0.364966
2021-09-09 18:08:09.065104 : CheckPoint: Validation Loss  0.00061300, Best Loss  0.00056427
2021-09-09 18:08:10.849347 : Epoch  6, Batch   2846, Loss  0.899379, Average Loss  0.868794, Time  0.371690
2021-09-09 18:08:12.686916 : Epoch  6, Batch   2847, Loss  0.849894, Average Loss  0.868557, Time  0.371938
2021-09-09 18:08:14.555777 : Epoch  6, Batch   2848, Loss  0.861203, Average Loss  0.868595, Time  0.415594
2021-09-09 18:08:16.440782 : Epoch  6, Batch   2849, Loss  0.858633, Average Loss  0.868630, Time  0.474479
2021-09-09 18:08:18.237851 : Epoch  6, Batch   2850, Loss  0.872032, Average Loss  0.868561, Time  0.360475
2021-09-09 18:08:20.039779 : Epoch  6, Batch   2851, Loss  0.855302, Average Loss  0.868409, Time  0.371524
2021-09-09 18:08:21.899982 : Epoch  6, Batch   2852, Loss  0.882311, Average Loss  0.868504, Time  0.397499
2021-09-09 18:08:23.811768 : Epoch  6, Batch   2853, Loss  0.867589, Average Loss  0.868399, Time  0.470067
2021-09-09 18:08:25.611889 : Epoch  6, Batch   2854, Loss  0.852372, Average Loss  0.868233, Time  0.341199
2021-09-09 18:08:27.414004 : Epoch  6, Batch   2855, Loss  0.905698, Average Loss  0.868477, Time  0.378045
2021-09-09 18:08:29.224784 : Epoch  6, Batch   2856, Loss  0.882845, Average Loss  0.868524, Time  0.365361
2021-09-09 18:08:31.169771 : Epoch  6, Batch   2857, Loss  0.902716, Average Loss  0.868703, Time  0.492680
2021-09-09 18:08:32.998047 : Epoch  6, Batch   2858, Loss  0.858948, Average Loss  0.868660, Time  0.383556
2021-09-09 18:08:34.786789 : Epoch  6, Batch   2859, Loss  0.864833, Average Loss  0.868702, Time  0.374655
2021-09-09 18:08:36.607113 : Epoch  6, Batch   2860, Loss  0.836967, Average Loss  0.868414, Time  0.361054
2021-09-09 18:08:38.544787 : Epoch  6, Batch   2861, Loss  0.867268, Average Loss  0.868202, Time  0.485276
2021-09-09 18:08:40.432216 : Epoch  6, Batch   2862, Loss  0.886295, Average Loss  0.868469, Time  0.446567
2021-09-09 18:08:42.245766 : Epoch  6, Batch   2863, Loss  0.865493, Average Loss  0.868380, Time  0.388183
2021-09-09 18:08:44.062802 : Epoch  6, Batch   2864, Loss  0.845031, Average Loss  0.868187, Time  0.387445
2021-09-09 18:08:45.898789 : Epoch  6, Batch   2865, Loss  0.839718, Average Loss  0.868035, Time  0.406671
2021-09-09 18:08:47.809837 : Epoch  6, Batch   2866, Loss  0.871787, Average Loss  0.868101, Time  0.461587
2021-09-09 18:08:49.653773 : Epoch  6, Batch   2867, Loss  0.880878, Average Loss  0.868214, Time  0.361672
2021-09-09 18:08:51.450876 : Epoch  6, Batch   2868, Loss  0.846937, Average Loss  0.868173, Time  0.363175
2021-09-09 18:08:53.283773 : Epoch  6, Batch   2869, Loss  0.877209, Average Loss  0.868253, Time  0.381745
2021-09-09 18:08:55.207932 : Epoch  6, Batch   2870, Loss  0.862645, Average Loss  0.868245, Time  0.473018
2021-09-09 18:08:56.993231 : Epoch  6, Batch   2871, Loss  0.873064, Average Loss  0.868285, Time  0.356998
2021-09-09 18:08:58.797956 : Epoch  6, Batch   2872, Loss  0.853477, Average Loss  0.868279, Time  0.364808
2021-09-09 18:09:00.614280 : Epoch  6, Batch   2873, Loss  0.835621, Average Loss  0.868093, Time  0.360711
2021-09-09 18:09:02.501822 : Epoch  6, Batch   2874, Loss  0.864752, Average Loss  0.868168, Time  0.466668
2021-09-09 18:09:04.263785 : Epoch  6, Batch   2875, Loss  0.871780, Average Loss  0.868207, Time  0.349618
2021-09-09 18:09:06.054769 : Epoch  6, Batch   2876, Loss  0.880721, Average Loss  0.868451, Time  0.361260
2021-09-09 18:09:07.877270 : Epoch  6, Batch   2877, Loss  0.887197, Average Loss  0.868509, Time  0.365566
2021-09-09 18:09:09.825779 : Epoch  6, Batch   2878, Loss  0.864221, Average Loss  0.868492, Time  0.477314
2021-09-09 18:09:11.662782 : Epoch  6, Batch   2879, Loss  0.870236, Average Loss  0.868573, Time  0.387638
2021-09-09 18:09:13.498424 : Epoch  6, Batch   2880, Loss  0.861361, Average Loss  0.868427, Time  0.366830
2021-09-09 18:09:15.309784 : Epoch  6, Batch   2881, Loss  0.877836, Average Loss  0.868442, Time  0.365381
2021-09-09 18:09:17.205766 : Epoch  6, Batch   2882, Loss  0.862311, Average Loss  0.868428, Time  0.456983
2021-09-09 18:09:19.093781 : Epoch  6, Batch   2883, Loss  0.871270, Average Loss  0.868459, Time  0.461250
2021-09-09 18:09:20.911777 : Epoch  6, Batch   2884, Loss  0.850960, Average Loss  0.868362, Time  0.362179
2021-09-09 18:09:22.742775 : Epoch  6, Batch   2885, Loss  0.889148, Average Loss  0.868374, Time  0.373648
2021-09-09 18:09:24.559778 : Epoch  6, Batch   2886, Loss  0.856476, Average Loss  0.868329, Time  0.387335
2021-09-09 18:09:26.451783 : Epoch  6, Batch   2887, Loss  0.891520, Average Loss  0.868488, Time  0.466283
2021-09-09 18:09:28.251314 : Epoch  6, Batch   2888, Loss  0.895859, Average Loss  0.868441, Time  0.376864
2021-09-09 18:09:30.026828 : Epoch  6, Batch   2889, Loss  0.891149, Average Loss  0.868768, Time  0.362092
2021-09-09 18:09:31.870784 : Epoch  6, Batch   2890, Loss  0.849261, Average Loss  0.868529, Time  0.409457
2021-09-09 18:09:33.774769 : Epoch  6, Batch   2891, Loss  0.903939, Average Loss  0.868694, Time  0.463797
2021-09-09 18:09:35.572764 : Epoch  6, Batch   2892, Loss  0.815487, Average Loss  0.868412, Time  0.362084
2021-09-09 18:09:37.383770 : Epoch  6, Batch   2893, Loss  0.859164, Average Loss  0.868372, Time  0.364353
2021-09-09 18:09:39.204496 : Epoch  6, Batch   2894, Loss  0.861420, Average Loss  0.868416, Time  0.377461
2021-09-09 18:09:41.136260 : Epoch  6, Batch   2895, Loss  0.878181, Average Loss  0.868583, Time  0.465684
2021-09-09 18:09:42.919263 : Epoch  6, Batch   2896, Loss  0.876949, Average Loss  0.868617, Time  0.338200
2021-09-09 18:09:44.742765 : Epoch  6, Batch   2897, Loss  0.892877, Average Loss  0.868795, Time  0.386413
2021-09-09 18:09:46.572783 : Epoch  6, Batch   2898, Loss  0.865156, Average Loss  0.869096, Time  0.383482
2021-09-09 18:09:48.503105 : Epoch  6, Batch   2899, Loss  0.854995, Average Loss  0.868944, Time  0.479797
2021-09-09 18:09:50.429062 : Epoch  6, Batch   2900, Loss  0.865413, Average Loss  0.868982, Time  0.450969
2021-09-09 18:09:52.236976 : Epoch  6, Batch   2901, Loss  0.830758, Average Loss  0.868828, Time  0.372265
2021-09-09 18:09:54.022417 : Epoch  6, Batch   2902, Loss  0.874833, Average Loss  0.868775, Time  0.361422
2021-09-09 18:09:55.888771 : Epoch  6, Batch   2903, Loss  0.851673, Average Loss  0.868735, Time  0.449041
2021-09-09 18:09:57.775781 : Epoch  6, Batch   2904, Loss  0.862663, Average Loss  0.868693, Time  0.468535
2021-09-09 18:09:59.555469 : Epoch  6, Batch   2905, Loss  0.875618, Average Loss  0.868800, Time  0.370020
2021-09-09 18:10:01.332829 : Epoch  6, Batch   2906, Loss  0.849203, Average Loss  0.868714, Time  0.366541
2021-09-09 18:10:03.200029 : Epoch  6, Batch   2907, Loss  0.873595, Average Loss  0.868853, Time  0.434978
2021-09-09 18:10:05.093108 : Epoch  6, Batch   2908, Loss  0.856999, Average Loss  0.868728, Time  0.471545
2021-09-09 18:10:06.890097 : Epoch  6, Batch   2909, Loss  0.884031, Average Loss  0.868939, Time  0.361413
2021-09-09 18:10:08.707776 : Epoch  6, Batch   2910, Loss  0.877240, Average Loss  0.868999, Time  0.377146
2021-09-09 18:10:10.575772 : Epoch  6, Batch   2911, Loss  0.860992, Average Loss  0.869066, Time  0.396466
2021-09-09 18:10:12.492284 : Epoch  6, Batch   2912, Loss  0.851811, Average Loss  0.869010, Time  0.483613
2021-09-09 18:10:14.254765 : Epoch  6, Batch   2913, Loss  0.853108, Average Loss  0.868858, Time  0.355511
2021-09-09 18:10:16.046730 : Epoch  6, Batch   2914, Loss  0.857304, Average Loss  0.868922, Time  0.365984
2021-09-09 18:10:17.896063 : Epoch  6, Batch   2915, Loss  0.861901, Average Loss  0.868877, Time  0.399291
2021-09-09 18:10:19.772125 : Epoch  6, Batch   2916, Loss  0.887766, Average Loss  0.869098, Time  0.462658
2021-09-09 18:10:21.566951 : Epoch  6, Batch   2917, Loss  0.896004, Average Loss  0.869281, Time  0.370709
2021-09-09 18:10:23.351396 : Epoch  6, Batch   2918, Loss  0.856770, Average Loss  0.869126, Time  0.364319
2021-09-09 18:10:25.182110 : Epoch  6, Batch   2919, Loss  0.893311, Average Loss  0.869138, Time  0.402883
2021-09-09 18:10:27.123240 : Epoch  6, Batch   2920, Loss  0.868230, Average Loss  0.869061, Time  0.488133
2021-09-09 18:10:28.945242 : Epoch  6, Batch   2921, Loss  0.881593, Average Loss  0.869060, Time  0.385390
2021-09-09 18:10:30.766793 : Epoch  6, Batch   2922, Loss  0.858884, Average Loss  0.868901, Time  0.383353
2021-09-09 18:10:32.630386 : Epoch  6, Batch   2923, Loss  0.863438, Average Loss  0.868768, Time  0.365339
2021-09-09 18:10:34.554767 : Epoch  6, Batch   2924, Loss  0.830958, Average Loss  0.868677, Time  0.471594
2021-09-09 18:10:36.464813 : Epoch  6, Batch   2925, Loss  0.852377, Average Loss  0.868677, Time  0.472593
2021-09-09 18:10:38.269784 : Epoch  6, Batch   2926, Loss  0.860593, Average Loss  0.868716, Time  0.369563
2021-09-09 18:10:40.074003 : Epoch  6, Batch   2927, Loss  0.893842, Average Loss  0.868870, Time  0.367069
2021-09-09 18:10:41.887766 : Epoch  6, Batch   2928, Loss  0.866023, Average Loss  0.868825, Time  0.386117
2021-09-09 18:10:43.803334 : Epoch  6, Batch   2929, Loss  0.859753, Average Loss  0.868902, Time  0.482091
2021-09-09 18:10:45.611974 : Epoch  6, Batch   2930, Loss  0.881511, Average Loss  0.869092, Time  0.358211
2021-09-09 18:10:47.419776 : Epoch  6, Batch   2931, Loss  0.912938, Average Loss  0.869339, Time  0.374133
2021-09-09 18:10:49.257878 : Epoch  6, Batch   2932, Loss  0.866256, Average Loss  0.869355, Time  0.403136
2021-09-09 18:10:51.192771 : Epoch  6, Batch   2933, Loss  0.864202, Average Loss  0.869253, Time  0.499905
2021-09-09 18:10:53.060076 : Epoch  6, Batch   2934, Loss  0.885453, Average Loss  0.869338, Time  0.440849
2021-09-09 18:10:54.881296 : Epoch  6, Batch   2935, Loss  0.894223, Average Loss  0.869447, Time  0.362725
2021-09-09 18:10:56.681781 : Epoch  6, Batch   2936, Loss  0.884025, Average Loss  0.869427, Time  0.368882
2021-09-09 18:10:58.565738 : Epoch  6, Batch   2937, Loss  0.879597, Average Loss  0.869671, Time  0.465292
2021-09-09 18:11:00.476931 : Epoch  6, Batch   2938, Loss  0.879557, Average Loss  0.869707, Time  0.472473
2021-09-09 18:11:02.281118 : Epoch  6, Batch   2939, Loss  0.840300, Average Loss  0.869598, Time  0.369855
2021-09-09 18:11:04.115779 : Epoch  6, Batch   2940, Loss  0.874152, Average Loss  0.869636, Time  0.366990
2021-09-09 18:11:05.966924 : Epoch  6, Batch   2941, Loss  0.860688, Average Loss  0.869698, Time  0.397210
2021-09-09 18:11:07.899763 : Epoch  6, Batch   2942, Loss  0.890623, Average Loss  0.869749, Time  0.481284
2021-09-09 18:11:09.705878 : Epoch  6, Batch   2943, Loss  0.839989, Average Loss  0.869606, Time  0.362711
2021-09-09 18:11:11.507817 : Epoch  6, Batch   2944, Loss  0.853518, Average Loss  0.869437, Time  0.367179
2021-09-09 18:11:13.294038 : Epoch  6, Batch   2945, Loss  0.910059, Average Loss  0.869639, Time  0.369129
2021-09-09 18:16:03.870623 : CheckPoint: Validation Loss  0.00063038, Best Loss  0.00056427
2021-09-09 18:16:05.653785 : Epoch  6, Batch   2946, Loss  0.860940, Average Loss  0.869596, Time  0.367785
2021-09-09 18:16:07.460768 : Epoch  6, Batch   2947, Loss  0.891910, Average Loss  0.869947, Time  0.374082
2021-09-09 18:16:09.355765 : Epoch  6, Batch   2948, Loss  0.855357, Average Loss  0.869819, Time  0.467894
2021-09-09 18:16:11.242096 : Epoch  6, Batch   2949, Loss  0.863760, Average Loss  0.869812, Time  0.459402
2021-09-09 18:16:13.021767 : Epoch  6, Batch   2950, Loss  0.876965, Average Loss  0.869708, Time  0.360905
2021-09-09 18:16:14.815238 : Epoch  6, Batch   2951, Loss  0.853490, Average Loss  0.869673, Time  0.361276
2021-09-09 18:16:16.661920 : Epoch  6, Batch   2952, Loss  0.905758, Average Loss  0.869772, Time  0.397336
2021-09-09 18:16:18.445706 : Epoch  6, Batch   2953, Loss  0.861095, Average Loss  0.869813, Time  0.364164
2021-09-09 18:16:20.241780 : Epoch  6, Batch   2954, Loss  0.848918, Average Loss  0.869661, Time  0.356839
2021-09-09 18:16:22.067778 : Epoch  6, Batch   2955, Loss  0.872537, Average Loss  0.869537, Time  0.370111
2021-09-09 18:16:23.979769 : Epoch  6, Batch   2956, Loss  0.866125, Average Loss  0.869523, Time  0.468328
2021-09-09 18:16:25.838765 : Epoch  6, Batch   2957, Loss  0.843023, Average Loss  0.869471, Time  0.362941
2021-09-09 18:16:27.663774 : Epoch  6, Batch   2958, Loss  0.882700, Average Loss  0.869609, Time  0.391178
2021-09-09 18:16:29.436469 : Epoch  6, Batch   2959, Loss  0.884311, Average Loss  0.869626, Time  0.361961
2021-09-09 18:16:31.249786 : Epoch  6, Batch   2960, Loss  0.850952, Average Loss  0.869546, Time  0.370095
2021-09-09 18:16:33.062824 : Epoch  6, Batch   2961, Loss  0.838639, Average Loss  0.869410, Time  0.367882
2021-09-09 18:16:34.897200 : Epoch  6, Batch   2962, Loss  0.868552, Average Loss  0.869354, Time  0.376869
2021-09-09 18:16:36.832778 : Epoch  6, Batch   2963, Loss  0.876881, Average Loss  0.869332, Time  0.486556
2021-09-09 18:16:38.639566 : Epoch  6, Batch   2964, Loss  0.852728, Average Loss  0.869172, Time  0.382968
2021-09-09 18:16:40.449770 : Epoch  6, Batch   2965, Loss  0.864341, Average Loss  0.869122, Time  0.368513
2021-09-09 18:16:42.272777 : Epoch  6, Batch   2966, Loss  0.890832, Average Loss  0.869281, Time  0.380822
2021-09-09 18:16:44.056310 : Epoch  6, Batch   2967, Loss  0.863345, Average Loss  0.869175, Time  0.374942
2021-09-09 18:16:45.849349 : Epoch  6, Batch   2968, Loss  0.908167, Average Loss  0.869302, Time  0.362341
2021-09-09 18:16:47.624575 : Epoch  6, Batch   2969, Loss  0.864513, Average Loss  0.869269, Time  0.366797
2021-09-09 18:16:49.508763 : Epoch  6, Batch   2970, Loss  0.891627, Average Loss  0.869311, Time  0.467221
2021-09-09 18:16:51.316783 : Epoch  6, Batch   2971, Loss  0.872074, Average Loss  0.869259, Time  0.377258
2021-09-09 18:16:53.171465 : Epoch  6, Batch   2972, Loss  0.896676, Average Loss  0.869412, Time  0.426964
2021-09-09 18:16:54.992765 : Epoch  6, Batch   2973, Loss  0.868817, Average Loss  0.869515, Time  0.379703
2021-09-09 18:16:56.816760 : Epoch  6, Batch   2974, Loss  0.864134, Average Loss  0.869570, Time  0.378094
2021-09-09 18:16:58.623105 : Epoch  6, Batch   2975, Loss  0.856703, Average Loss  0.869542, Time  0.374842
2021-09-09 18:17:00.432787 : Epoch  6, Batch   2976, Loss  0.810524, Average Loss  0.869162, Time  0.361770
2021-09-09 18:17:02.310102 : Epoch  6, Batch   2977, Loss  0.892327, Average Loss  0.869389, Time  0.444707
2021-09-09 18:17:04.117754 : Epoch  6, Batch   2978, Loss  0.865859, Average Loss  0.869474, Time  0.372046
2021-09-09 18:17:05.986865 : Epoch  6, Batch   2979, Loss  0.862394, Average Loss  0.869292, Time  0.421751
2021-09-09 18:17:07.834769 : Epoch  6, Batch   2980, Loss  0.872679, Average Loss  0.869279, Time  0.369691
2021-09-09 18:17:09.640100 : Epoch  6, Batch   2981, Loss  0.894261, Average Loss  0.869430, Time  0.368284
2021-09-09 18:17:11.428766 : Epoch  6, Batch   2982, Loss  0.851301, Average Loss  0.869243, Time  0.358170
2021-09-09 18:17:13.213876 : Epoch  6, Batch   2983, Loss  0.906073, Average Loss  0.869600, Time  0.366281
2021-09-09 18:17:14.969782 : Epoch  6, Batch   2984, Loss  0.865857, Average Loss  0.869456, Time  0.352440
2021-09-09 18:17:16.768235 : Epoch  6, Batch   2985, Loss  0.867557, Average Loss  0.869517, Time  0.374753
2021-09-09 18:17:18.715122 : Epoch  6, Batch   2986, Loss  0.897295, Average Loss  0.869727, Time  0.461097
2021-09-09 18:17:20.508110 : Epoch  6, Batch   2987, Loss  0.878176, Average Loss  0.869721, Time  0.368667
2021-09-09 18:17:22.323891 : Epoch  6, Batch   2988, Loss  0.868218, Average Loss  0.869649, Time  0.367640
2021-09-09 18:17:24.242276 : Epoch  6, Batch   2989, Loss  0.870652, Average Loss  0.869600, Time  0.364862
2021-09-09 18:17:26.036976 : Epoch  6, Batch   2990, Loss  0.855716, Average Loss  0.869574, Time  0.370420
2021-09-09 18:17:27.940838 : Epoch  6, Batch   2991, Loss  0.893489, Average Loss  0.869605, Time  0.453921
2021-09-09 18:17:29.841766 : Epoch  6, Batch   2992, Loss  0.877166, Average Loss  0.869593, Time  0.460710
2021-09-09 18:17:31.671789 : Epoch  6, Batch   2993, Loss  0.861140, Average Loss  0.869569, Time  0.363106
2021-09-09 18:17:33.465778 : Epoch  6, Batch   2994, Loss  0.829127, Average Loss  0.869302, Time  0.364676
2021-09-09 18:17:35.314177 : Epoch  6, Batch   2995, Loss  0.850564, Average Loss  0.869195, Time  0.417698
2021-09-09 18:17:37.208765 : Epoch  6, Batch   2996, Loss  0.877799, Average Loss  0.869263, Time  0.465660
2021-09-09 18:17:39.124138 : Epoch  6, Batch   2997, Loss  0.893375, Average Loss  0.869406, Time  0.408459
2021-09-09 18:17:40.928833 : Epoch  6, Batch   2998, Loss  0.889934, Average Loss  0.869366, Time  0.363098
2021-09-09 18:17:42.744170 : Epoch  6, Batch   2999, Loss  0.877369, Average Loss  0.869445, Time  0.373955
2021-09-09 18:17:44.634378 : Epoch  6, Batch   3000, Loss  0.829586, Average Loss  0.869243, Time  0.468147
2021-09-09 18:17:46.546780 : Epoch  6, Batch   3001, Loss  0.883072, Average Loss  0.869432, Time  0.467142
2021-09-09 18:17:48.352102 : Epoch  6, Batch   3002, Loss  0.824241, Average Loss  0.869174, Time  0.361604
2021-09-09 18:17:50.179767 : Epoch  6, Batch   3003, Loss  0.879904, Average Loss  0.869425, Time  0.393806
2021-09-09 18:17:52.031932 : Epoch  6, Batch   3004, Loss  0.856863, Average Loss  0.869351, Time  0.411281
2021-09-09 18:17:53.939763 : Epoch  6, Batch   3005, Loss  0.877893, Average Loss  0.869337, Time  0.466145
2021-09-09 18:17:55.759871 : Epoch  6, Batch   3006, Loss  0.825223, Average Loss  0.869091, Time  0.380347
2021-09-09 18:17:57.568822 : Epoch  6, Batch   3007, Loss  0.876637, Average Loss  0.869228, Time  0.370349
2021-09-09 18:17:59.387123 : Epoch  6, Batch   3008, Loss  0.868222, Average Loss  0.869151, Time  0.382968
2021-09-09 18:18:01.289569 : Epoch  6, Batch   3009, Loss  0.850524, Average Loss  0.869165, Time  0.464883
2021-09-09 18:18:03.099925 : Epoch  6, Batch   3010, Loss  0.871886, Average Loss  0.869272, Time  0.371924
2021-09-09 18:18:04.925008 : Epoch  6, Batch   3011, Loss  0.873792, Average Loss  0.869168, Time  0.363498
2021-09-09 18:18:06.716765 : Epoch  6, Batch   3012, Loss  0.849321, Average Loss  0.869061, Time  0.369400
2021-09-09 18:18:08.661765 : Epoch  6, Batch   3013, Loss  0.876744, Average Loss  0.869075, Time  0.489927
2021-09-09 18:18:10.538061 : Epoch  6, Batch   3014, Loss  0.881153, Average Loss  0.869099, Time  0.441337
2021-09-09 18:18:12.361725 : Epoch  6, Batch   3015, Loss  0.846778, Average Loss  0.869120, Time  0.360558
2021-09-09 18:18:14.169924 : Epoch  6, Batch   3016, Loss  0.922322, Average Loss  0.869295, Time  0.363665
2021-09-09 18:18:16.041612 : Epoch  6, Batch   3017, Loss  0.881988, Average Loss  0.869375, Time  0.436312
2021-09-09 18:18:17.913123 : Epoch  6, Batch   3018, Loss  0.880116, Average Loss  0.869500, Time  0.462990
2021-09-09 18:18:19.711818 : Epoch  6, Batch   3019, Loss  0.870182, Average Loss  0.869567, Time  0.362047
2021-09-09 18:18:21.555105 : Epoch  6, Batch   3020, Loss  0.848445, Average Loss  0.869538, Time  0.382864
2021-09-09 18:18:23.404763 : Epoch  6, Batch   3021, Loss  0.888296, Average Loss  0.869522, Time  0.385443
2021-09-09 18:18:25.314993 : Epoch  6, Batch   3022, Loss  0.868326, Average Loss  0.869498, Time  0.457496
2021-09-09 18:18:27.119317 : Epoch  6, Batch   3023, Loss  0.894908, Average Loss  0.869508, Time  0.362814
2021-09-09 18:18:28.942105 : Epoch  6, Batch   3024, Loss  0.854606, Average Loss  0.869305, Time  0.378028
2021-09-09 18:18:30.771948 : Epoch  6, Batch   3025, Loss  0.905014, Average Loss  0.869465, Time  0.387768
2021-09-09 18:18:32.653114 : Epoch  6, Batch   3026, Loss  0.846733, Average Loss  0.869308, Time  0.461983
2021-09-09 18:18:34.499136 : Epoch  6, Batch   3027, Loss  0.905498, Average Loss  0.869496, Time  0.406573
2021-09-09 18:18:36.293779 : Epoch  6, Batch   3028, Loss  0.848151, Average Loss  0.869308, Time  0.367055
2021-09-09 18:18:38.086816 : Epoch  6, Batch   3029, Loss  0.902192, Average Loss  0.869215, Time  0.360218
2021-09-09 18:18:39.984284 : Epoch  6, Batch   3030, Loss  0.857912, Average Loss  0.869125, Time  0.477371
2021-09-09 18:18:41.869119 : Epoch  6, Batch   3031, Loss  0.899387, Average Loss  0.869275, Time  0.454308
2021-09-09 18:18:43.650766 : Epoch  6, Batch   3032, Loss  0.858347, Average Loss  0.869199, Time  0.365524
2021-09-09 18:18:45.458087 : Epoch  6, Batch   3033, Loss  0.878835, Average Loss  0.869339, Time  0.362135
2021-09-09 18:18:47.314260 : Epoch  6, Batch   3034, Loss  0.853764, Average Loss  0.869287, Time  0.412092
2021-09-09 18:18:49.227777 : Epoch  6, Batch   3035, Loss  0.855428, Average Loss  0.869306, Time  0.472014
2021-09-09 18:18:51.036766 : Epoch  6, Batch   3036, Loss  0.880650, Average Loss  0.869388, Time  0.362412
2021-09-09 18:18:52.835784 : Epoch  6, Batch   3037, Loss  0.868179, Average Loss  0.869463, Time  0.363847
2021-09-09 18:18:54.659116 : Epoch  6, Batch   3038, Loss  0.875066, Average Loss  0.869495, Time  0.387356
2021-09-09 18:18:56.578111 : Epoch  6, Batch   3039, Loss  0.862127, Average Loss  0.869546, Time  0.465171
2021-09-09 18:18:58.348816 : Epoch  6, Batch   3040, Loss  0.892985, Average Loss  0.869591, Time  0.342948
2021-09-09 18:19:00.130542 : Epoch  6, Batch   3041, Loss  0.885767, Average Loss  0.869697, Time  0.361451
2021-09-09 18:19:01.944227 : Epoch  6, Batch   3042, Loss  0.863425, Average Loss  0.869551, Time  0.359365
2021-09-09 18:19:03.843766 : Epoch  6, Batch   3043, Loss  0.868385, Average Loss  0.869612, Time  0.471884
2021-09-09 18:19:05.680765 : Epoch  6, Batch   3044, Loss  0.888535, Average Loss  0.869670, Time  0.362934
2021-09-09 18:19:07.489678 : Epoch  6, Batch   3045, Loss  0.848451, Average Loss  0.869524, Time  0.374961
2021-09-09 18:23:59.328712 : CheckPoint: Validation Loss  0.00061245, Best Loss  0.00056427
2021-09-09 18:24:01.137019 : Epoch  6, Batch   3046, Loss  0.863852, Average Loss  0.869346, Time  0.391052
2021-09-09 18:24:02.922044 : Epoch  6, Batch   3047, Loss  0.847282, Average Loss  0.869333, Time  0.372112
2021-09-09 18:24:04.815959 : Epoch  6, Batch   3048, Loss  0.872076, Average Loss  0.869387, Time  0.462731
2021-09-09 18:24:06.602177 : Epoch  6, Batch   3049, Loss  0.895696, Average Loss  0.869573, Time  0.361980
2021-09-09 18:24:08.449891 : Epoch  6, Batch   3050, Loss  0.871615, Average Loss  0.869571, Time  0.366979
2021-09-09 18:24:10.263781 : Epoch  6, Batch   3051, Loss  0.878846, Average Loss  0.869688, Time  0.367520
2021-09-09 18:24:12.170781 : Epoch  6, Batch   3052, Loss  0.867668, Average Loss  0.869615, Time  0.471396
2021-09-09 18:24:14.073764 : Epoch  6, Batch   3053, Loss  0.879875, Average Loss  0.869676, Time  0.469910
2021-09-09 18:24:15.905778 : Epoch  6, Batch   3054, Loss  0.857137, Average Loss  0.869700, Time  0.392555
2021-09-09 18:24:17.708768 : Epoch  6, Batch   3055, Loss  0.867701, Average Loss  0.869510, Time  0.360986
2021-09-09 18:24:19.559519 : Epoch  6, Batch   3056, Loss  0.861836, Average Loss  0.869405, Time  0.411564
2021-09-09 18:24:21.457786 : Epoch  6, Batch   3057, Loss  0.875024, Average Loss  0.869267, Time  0.471097
2021-09-09 18:24:23.290716 : Epoch  6, Batch   3058, Loss  0.862133, Average Loss  0.869283, Time  0.398433
2021-09-09 18:24:25.117775 : Epoch  6, Batch   3059, Loss  0.899886, Average Loss  0.869458, Time  0.369036
2021-09-09 18:24:26.934107 : Epoch  6, Batch   3060, Loss  0.900510, Average Loss  0.869776, Time  0.388636
2021-09-09 18:24:28.819763 : Epoch  6, Batch   3061, Loss  0.881136, Average Loss  0.869845, Time  0.478111
2021-09-09 18:24:30.598764 : Epoch  6, Batch   3062, Loss  0.897544, Average Loss  0.869901, Time  0.363235
2021-09-09 18:24:32.412765 : Epoch  6, Batch   3063, Loss  0.876875, Average Loss  0.869958, Time  0.370493
2021-09-09 18:24:34.240950 : Epoch  6, Batch   3064, Loss  0.864146, Average Loss  0.870054, Time  0.401308
2021-09-09 18:24:36.121786 : Epoch  6, Batch   3065, Loss  0.862529, Average Loss  0.870168, Time  0.470058
2021-09-09 18:24:37.930341 : Epoch  6, Batch   3066, Loss  0.893964, Average Loss  0.870279, Time  0.381960
2021-09-09 18:24:39.724830 : Epoch  6, Batch   3067, Loss  0.857022, Average Loss  0.870159, Time  0.364079
2021-09-09 18:24:41.550769 : Epoch  6, Batch   3068, Loss  0.881751, Average Loss  0.870334, Time  0.407284
2021-09-09 18:24:43.414536 : Epoch  6, Batch   3069, Loss  0.855815, Average Loss  0.870227, Time  0.452239
2021-09-09 18:24:45.222769 : Epoch  6, Batch   3070, Loss  0.847198, Average Loss  0.870149, Time  0.380461
2021-09-09 18:24:46.987205 : Epoch  6, Batch   3071, Loss  0.863567, Average Loss  0.870102, Time  0.364319
2021-09-09 18:24:48.844856 : Epoch  6, Batch   3072, Loss  0.851602, Average Loss  0.870092, Time  0.433388
2021-09-09 18:24:50.753770 : Epoch  6, Batch   3073, Loss  0.847968, Average Loss  0.870154, Time  0.479441
2021-09-09 18:24:52.560789 : Epoch  6, Batch   3074, Loss  0.895580, Average Loss  0.870308, Time  0.378647
2021-09-09 18:24:54.376841 : Epoch  6, Batch   3075, Loss  0.899080, Average Loss  0.870445, Time  0.363552
2021-09-09 18:24:56.239763 : Epoch  6, Batch   3076, Loss  0.859864, Average Loss  0.870341, Time  0.397538
2021-09-09 18:24:58.169130 : Epoch  6, Batch   3077, Loss  0.845988, Average Loss  0.870135, Time  0.467504
2021-09-09 18:25:00.101879 : Epoch  6, Batch   3078, Loss  0.866121, Average Loss  0.870144, Time  0.444588
2021-09-09 18:25:01.890636 : Epoch  6, Batch   3079, Loss  0.860314, Average Loss  0.870094, Time  0.373045
2021-09-09 18:25:03.698901 : Epoch  6, Batch   3080, Loss  0.855397, Average Loss  0.870065, Time  0.383025
2021-09-09 18:25:05.579118 : Epoch  6, Batch   3081, Loss  0.865988, Average Loss  0.870005, Time  0.451105
2021-09-09 18:25:07.480410 : Epoch  6, Batch   3082, Loss  0.892422, Average Loss  0.870156, Time  0.466655
2021-09-09 18:25:09.318865 : Epoch  6, Batch   3083, Loss  0.881570, Average Loss  0.870207, Time  0.362592
2021-09-09 18:25:11.162023 : Epoch  6, Batch   3084, Loss  0.874677, Average Loss  0.870326, Time  0.413740
2021-09-09 18:25:13.002889 : Epoch  6, Batch   3085, Loss  0.872269, Average Loss  0.870242, Time  0.409656
2021-09-09 18:25:14.927360 : Epoch  6, Batch   3086, Loss  0.853576, Average Loss  0.870227, Time  0.463962
2021-09-09 18:25:16.700800 : Epoch  6, Batch   3087, Loss  0.883224, Average Loss  0.870186, Time  0.344653
2021-09-09 18:25:18.492313 : Epoch  6, Batch   3088, Loss  0.850733, Average Loss  0.869960, Time  0.368460
2021-09-09 18:25:20.303795 : Epoch  6, Batch   3089, Loss  0.864721, Average Loss  0.869828, Time  0.382051
2021-09-09 18:25:22.242794 : Epoch  6, Batch   3090, Loss  0.862709, Average Loss  0.869895, Time  0.494100
2021-09-09 18:25:24.114233 : Epoch  6, Batch   3091, Loss  0.876848, Average Loss  0.869760, Time  0.432321
2021-09-09 18:25:25.918813 : Epoch  6, Batch   3092, Loss  0.840733, Average Loss  0.869886, Time  0.362356
2021-09-09 18:25:27.716783 : Epoch  6, Batch   3093, Loss  0.858487, Average Loss  0.869882, Time  0.368178
2021-09-09 18:25:29.598913 : Epoch  6, Batch   3094, Loss  0.872412, Average Loss  0.869937, Time  0.457018
2021-09-09 18:25:31.488850 : Epoch  6, Batch   3095, Loss  0.872147, Average Loss  0.869907, Time  0.463791
2021-09-09 18:25:33.284898 : Epoch  6, Batch   3096, Loss  0.918381, Average Loss  0.870114, Time  0.370175
2021-09-09 18:25:35.093841 : Epoch  6, Batch   3097, Loss  0.878253, Average Loss  0.870041, Time  0.379911
2021-09-09 18:25:36.935928 : Epoch  6, Batch   3098, Loss  0.844525, Average Loss  0.869938, Time  0.398719
2021-09-09 18:25:38.821610 : Epoch  6, Batch   3099, Loss  0.856548, Average Loss  0.869946, Time  0.465353
2021-09-09 18:25:40.655821 : Epoch  6, Batch   3100, Loss  0.855951, Average Loss  0.869899, Time  0.366590
2021-09-09 18:25:42.492953 : Epoch  6, Batch   3101, Loss  0.863626, Average Loss  0.870063, Time  0.374708
2021-09-09 18:25:44.286919 : Epoch  6, Batch   3102, Loss  0.848909, Average Loss  0.869933, Time  0.366662
2021-09-09 18:25:46.178891 : Epoch  6, Batch   3103, Loss  0.884369, Average Loss  0.870097, Time  0.464093
2021-09-09 18:25:47.968767 : Epoch  6, Batch   3104, Loss  0.876606, Average Loss  0.870166, Time  0.377959
2021-09-09 18:25:49.772766 : Epoch  6, Batch   3105, Loss  0.902584, Average Loss  0.870301, Time  0.362928
2021-09-09 18:25:51.610259 : Epoch  6, Batch   3106, Loss  0.868895, Average Loss  0.870400, Time  0.391991
2021-09-09 18:25:53.509485 : Epoch  6, Batch   3107, Loss  0.875301, Average Loss  0.870408, Time  0.461363
2021-09-09 18:25:55.312076 : Epoch  6, Batch   3108, Loss  0.859182, Average Loss  0.870419, Time  0.363218
2021-09-09 18:25:57.116780 : Epoch  6, Batch   3109, Loss  0.884140, Average Loss  0.870420, Time  0.383691
2021-09-09 18:25:58.984925 : Epoch  6, Batch   3110, Loss  0.878489, Average Loss  0.870426, Time  0.388273
2021-09-09 18:26:00.926771 : Epoch  6, Batch   3111, Loss  0.855146, Average Loss  0.870397, Time  0.462939
2021-09-09 18:26:02.776633 : Epoch  6, Batch   3112, Loss  0.862507, Average Loss  0.870450, Time  0.423899
2021-09-09 18:26:04.570762 : Epoch  6, Batch   3113, Loss  0.840628, Average Loss  0.870388, Time  0.364288
2021-09-09 18:26:06.493945 : Epoch  6, Batch   3114, Loss  0.855297, Average Loss  0.870378, Time  0.373506
2021-09-09 18:26:08.345099 : Epoch  6, Batch   3115, Loss  0.886732, Average Loss  0.870502, Time  0.418471
2021-09-09 18:26:10.223195 : Epoch  6, Batch   3116, Loss  0.832527, Average Loss  0.870226, Time  0.470070
2021-09-09 18:26:12.046129 : Epoch  6, Batch   3117, Loss  0.888762, Average Loss  0.870190, Time  0.385814
2021-09-09 18:26:13.845270 : Epoch  6, Batch   3118, Loss  0.867827, Average Loss  0.870245, Time  0.367376
2021-09-09 18:26:15.711764 : Epoch  6, Batch   3119, Loss  0.890045, Average Loss  0.870229, Time  0.414755
2021-09-09 18:26:17.602103 : Epoch  6, Batch   3120, Loss  0.903212, Average Loss  0.870403, Time  0.471389
2021-09-09 18:26:19.398779 : Epoch  6, Batch   3121, Loss  0.881452, Average Loss  0.870403, Time  0.369963
2021-09-09 18:26:21.191370 : Epoch  6, Batch   3122, Loss  0.845167, Average Loss  0.870334, Time  0.369202
2021-09-09 18:26:23.011780 : Epoch  6, Batch   3123, Loss  0.862393, Average Loss  0.870329, Time  0.393902
2021-09-09 18:26:24.909764 : Epoch  6, Batch   3124, Loss  0.845362, Average Loss  0.870401, Time  0.471587
2021-09-09 18:26:26.722973 : Epoch  6, Batch   3125, Loss  0.851359, Average Loss  0.870396, Time  0.393917
2021-09-09 18:26:28.539109 : Epoch  6, Batch   3126, Loss  0.885698, Average Loss  0.870521, Time  0.367634
2021-09-09 18:26:30.351824 : Epoch  6, Batch   3127, Loss  0.897158, Average Loss  0.870538, Time  0.376092
2021-09-09 18:26:32.259929 : Epoch  6, Batch   3128, Loss  0.857220, Average Loss  0.870494, Time  0.494159
2021-09-09 18:26:34.052107 : Epoch  6, Batch   3129, Loss  0.892537, Average Loss  0.870658, Time  0.372768
2021-09-09 18:26:35.853893 : Epoch  6, Batch   3130, Loss  0.888385, Average Loss  0.870692, Time  0.375153
2021-09-09 18:26:37.665783 : Epoch  6, Batch   3131, Loss  0.878738, Average Loss  0.870521, Time  0.387187
2021-09-09 18:26:39.557115 : Epoch  6, Batch   3132, Loss  0.880442, Average Loss  0.870592, Time  0.466813
2021-09-09 18:26:41.368814 : Epoch  6, Batch   3133, Loss  0.882715, Average Loss  0.870685, Time  0.364075
2021-09-09 18:26:43.182087 : Epoch  6, Batch   3134, Loss  0.861072, Average Loss  0.870563, Time  0.363180
2021-09-09 18:26:44.989783 : Epoch  6, Batch   3135, Loss  0.873028, Average Loss  0.870457, Time  0.388679
2021-09-09 18:26:46.879766 : Epoch  6, Batch   3136, Loss  0.857953, Average Loss  0.870326, Time  0.463302
2021-09-09 18:26:48.664767 : Epoch  6, Batch   3137, Loss  0.884215, Average Loss  0.870350, Time  0.357008
2021-09-09 18:26:50.444667 : Epoch  6, Batch   3138, Loss  0.874086, Average Loss  0.870322, Time  0.368753
2021-09-09 18:26:52.305968 : Epoch  6, Batch   3139, Loss  0.863159, Average Loss  0.870437, Time  0.443455
2021-09-09 18:26:54.224989 : Epoch  6, Batch   3140, Loss  0.872308, Average Loss  0.870427, Time  0.490807
2021-09-09 18:26:56.026255 : Epoch  6, Batch   3141, Loss  0.873018, Average Loss  0.870489, Time  0.351799
2021-09-09 18:26:57.830182 : Epoch  6, Batch   3142, Loss  0.848847, Average Loss  0.870280, Time  0.386066
2021-09-09 18:26:59.678549 : Epoch  6, Batch   3143, Loss  0.890338, Average Loss  0.870532, Time  0.364324
2021-09-09 18:27:01.603120 : Epoch  6, Batch   3144, Loss  0.853062, Average Loss  0.870530, Time  0.476761
2021-09-09 18:27:03.511763 : Epoch  6, Batch   3145, Loss  0.889708, Average Loss  0.870428, Time  0.470639
2021-09-09 18:31:54.621836 : CheckPoint: Validation Loss  0.00062348, Best Loss  0.00056427
2021-09-09 18:31:56.523999 : Epoch  6, Batch   3146, Loss  0.891023, Average Loss  0.870578, Time  0.471959
2021-09-09 18:31:58.396768 : Epoch  6, Batch   3147, Loss  0.882537, Average Loss  0.870531, Time  0.421234
2021-09-09 18:32:00.195933 : Epoch  6, Batch   3148, Loss  0.854293, Average Loss  0.870526, Time  0.379810
2021-09-09 18:32:02.000731 : Epoch  6, Batch   3149, Loss  0.829720, Average Loss  0.870356, Time  0.369500
2021-09-09 18:32:03.876992 : Epoch  6, Batch   3150, Loss  0.869788, Average Loss  0.870320, Time  0.465361
2021-09-09 18:32:05.760815 : Epoch  6, Batch   3151, Loss  0.906215, Average Loss  0.870584, Time  0.450793
2021-09-09 18:32:07.560777 : Epoch  6, Batch   3152, Loss  0.861139, Average Loss  0.870360, Time  0.372063
2021-09-09 18:32:09.390777 : Epoch  6, Batch   3153, Loss  0.862746, Average Loss  0.870369, Time  0.389891
2021-09-09 18:32:11.201857 : Epoch  6, Batch   3154, Loss  0.859124, Average Loss  0.870420, Time  0.389868
2021-09-09 18:32:13.101218 : Epoch  6, Batch   3155, Loss  0.889922, Average Loss  0.870507, Time  0.487954
2021-09-09 18:32:14.926815 : Epoch  6, Batch   3156, Loss  0.859542, Average Loss  0.870474, Time  0.381023
2021-09-09 18:32:16.699193 : Epoch  6, Batch   3157, Loss  0.861169, Average Loss  0.870564, Time  0.366635
2021-09-09 18:32:18.541683 : Epoch  6, Batch   3158, Loss  0.855702, Average Loss  0.870429, Time  0.417169
2021-09-09 18:32:20.418278 : Epoch  6, Batch   3159, Loss  0.852728, Average Loss  0.870272, Time  0.473005
2021-09-09 18:32:22.236114 : Epoch  6, Batch   3160, Loss  0.886866, Average Loss  0.870451, Time  0.388214
2021-09-09 18:32:24.037772 : Epoch  6, Batch   3161, Loss  0.838432, Average Loss  0.870450, Time  0.362975
2021-09-09 18:32:25.866769 : Epoch  6, Batch   3162, Loss  0.888653, Average Loss  0.870551, Time  0.416490
2021-09-09 18:32:27.751773 : Epoch  6, Batch   3163, Loss  0.882440, Average Loss  0.870578, Time  0.466232
2021-09-09 18:32:29.544100 : Epoch  6, Batch   3164, Loss  0.867611, Average Loss  0.870653, Time  0.362580
2021-09-09 18:32:31.323672 : Epoch  6, Batch   3165, Loss  0.883700, Average Loss  0.870750, Time  0.362980
2021-09-09 18:32:33.178813 : Epoch  6, Batch   3166, Loss  0.902308, Average Loss  0.870807, Time  0.434175
2021-09-09 18:32:35.098766 : Epoch  6, Batch   3167, Loss  0.846731, Average Loss  0.870724, Time  0.482444
2021-09-09 18:32:36.888108 : Epoch  6, Batch   3168, Loss  0.848621, Average Loss  0.870426, Time  0.352448
2021-09-09 18:32:38.668817 : Epoch  6, Batch   3169, Loss  0.874006, Average Loss  0.870474, Time  0.370652
2021-09-09 18:32:40.478971 : Epoch  6, Batch   3170, Loss  0.875977, Average Loss  0.870395, Time  0.366888
2021-09-09 18:32:42.411773 : Epoch  6, Batch   3171, Loss  0.875588, Average Loss  0.870413, Time  0.469007
2021-09-09 18:32:44.218842 : Epoch  6, Batch   3172, Loss  0.875203, Average Loss  0.870306, Time  0.369119
2021-09-09 18:32:45.990427 : Epoch  6, Batch   3173, Loss  0.847771, Average Loss  0.870200, Time  0.368753
2021-09-09 18:32:47.769129 : Epoch  6, Batch   3174, Loss  0.881367, Average Loss  0.870287, Time  0.361455
2021-09-09 18:32:49.716781 : Epoch  6, Batch   3175, Loss  0.856679, Average Loss  0.870286, Time  0.498589
2021-09-09 18:32:51.640968 : Epoch  6, Batch   3176, Loss  0.870932, Average Loss  0.870588, Time  0.460935
2021-09-09 18:32:53.454768 : Epoch  6, Batch   3177, Loss  0.855082, Average Loss  0.870402, Time  0.391930
2021-09-09 18:32:55.239240 : Epoch  6, Batch   3178, Loss  0.890198, Average Loss  0.870524, Time  0.362559
2021-09-09 18:32:57.081253 : Epoch  6, Batch   3179, Loss  0.874480, Average Loss  0.870584, Time  0.425129
2021-09-09 18:32:58.958612 : Epoch  6, Batch   3180, Loss  0.879349, Average Loss  0.870618, Time  0.464343
2021-09-09 18:33:00.761114 : Epoch  6, Batch   3181, Loss  0.861280, Average Loss  0.870453, Time  0.361989
2021-09-09 18:33:02.555493 : Epoch  6, Batch   3182, Loss  0.850227, Average Loss  0.870447, Time  0.361968
2021-09-09 18:33:04.405774 : Epoch  6, Batch   3183, Loss  0.873887, Average Loss  0.870287, Time  0.401366
2021-09-09 18:33:06.289348 : Epoch  6, Batch   3184, Loss  0.867068, Average Loss  0.870293, Time  0.467722
2021-09-09 18:33:08.103787 : Epoch  6, Batch   3185, Loss  0.878298, Average Loss  0.870346, Time  0.363240
2021-09-09 18:33:09.916946 : Epoch  6, Batch   3186, Loss  0.878602, Average Loss  0.870253, Time  0.389556
2021-09-09 18:33:11.747794 : Epoch  6, Batch   3187, Loss  0.867818, Average Loss  0.870201, Time  0.384812
2021-09-09 18:33:13.650263 : Epoch  6, Batch   3188, Loss  0.874324, Average Loss  0.870232, Time  0.465536
2021-09-09 18:33:15.447432 : Epoch  6, Batch   3189, Loss  0.879490, Average Loss  0.870276, Time  0.351123
2021-09-09 18:33:17.255945 : Epoch  6, Batch   3190, Loss  0.879308, Average Loss  0.870394, Time  0.371323
2021-09-09 18:33:19.071760 : Epoch  6, Batch   3191, Loss  0.873586, Average Loss  0.870294, Time  0.365458
2021-09-09 18:33:20.982834 : Epoch  6, Batch   3192, Loss  0.842245, Average Loss  0.870120, Time  0.472186
2021-09-09 18:33:22.774426 : Epoch  6, Batch   3193, Loss  0.845190, Average Loss  0.870040, Time  0.363060
2021-09-09 18:33:24.591109 : Epoch  6, Batch   3194, Loss  0.864954, Average Loss  0.870219, Time  0.383705
2021-09-09 18:33:26.415083 : Epoch  6, Batch   3195, Loss  0.883294, Average Loss  0.870383, Time  0.409728
2021-09-09 18:33:28.318142 : Epoch  6, Batch   3196, Loss  0.895907, Average Loss  0.870473, Time  0.473192
2021-09-09 18:33:30.111819 : Epoch  6, Batch   3197, Loss  0.902476, Average Loss  0.870519, Time  0.370718
2021-09-09 18:33:31.941900 : Epoch  6, Batch   3198, Loss  0.831532, Average Loss  0.870227, Time  0.389845
2021-09-09 18:33:33.754765 : Epoch  6, Batch   3199, Loss  0.884285, Average Loss  0.870261, Time  0.379226
2021-09-09 18:33:35.644468 : Epoch  6, Batch   3200, Loss  0.872515, Average Loss  0.870476, Time  0.468894
2021-09-09 18:33:37.424464 : Epoch  6, Batch   3201, Loss  0.869657, Average Loss  0.870409, Time  0.365578
2021-09-09 18:33:39.250237 : Epoch  6, Batch   3202, Loss  0.906407, Average Loss  0.870820, Time  0.367962
2021-09-09 18:33:41.112085 : Epoch  6, Batch   3203, Loss  0.869982, Average Loss  0.870770, Time  0.413118
2021-09-09 18:33:43.014250 : Epoch  6, Batch   3204, Loss  0.850835, Average Loss  0.870740, Time  0.462145
2021-09-09 18:33:44.808253 : Epoch  6, Batch   3205, Loss  0.887340, Average Loss  0.870787, Time  0.363120
2021-09-09 18:33:46.623922 : Epoch  6, Batch   3206, Loss  0.864802, Average Loss  0.870985, Time  0.372110
2021-09-09 18:33:48.463972 : Epoch  6, Batch   3207, Loss  0.881108, Average Loss  0.871007, Time  0.379753
2021-09-09 18:33:50.374231 : Epoch  6, Batch   3208, Loss  0.865338, Average Loss  0.870993, Time  0.454128
2021-09-09 18:33:52.182217 : Epoch  6, Batch   3209, Loss  0.888198, Average Loss  0.871181, Time  0.360934
2021-09-09 18:33:53.984930 : Epoch  6, Batch   3210, Loss  0.849294, Average Loss  0.871068, Time  0.362672
2021-09-09 18:33:55.824108 : Epoch  6, Batch   3211, Loss  0.905652, Average Loss  0.871228, Time  0.377839
2021-09-09 18:33:57.721262 : Epoch  6, Batch   3212, Loss  0.892159, Average Loss  0.871442, Time  0.463233
2021-09-09 18:33:59.549258 : Epoch  6, Batch   3213, Loss  0.854513, Average Loss  0.871331, Time  0.377373
2021-09-09 18:34:01.354894 : Epoch  6, Batch   3214, Loss  0.839645, Average Loss  0.871123, Time  0.371527
2021-09-09 18:34:03.170772 : Epoch  6, Batch   3215, Loss  0.874183, Average Loss  0.871260, Time  0.375192
2021-09-09 18:34:05.070106 : Epoch  6, Batch   3216, Loss  0.843614, Average Loss  0.870867, Time  0.469186
2021-09-09 18:34:06.954266 : Epoch  6, Batch   3217, Loss  0.871296, Average Loss  0.870813, Time  0.447212
2021-09-09 18:34:08.747244 : Epoch  6, Batch   3218, Loss  0.873834, Average Loss  0.870782, Time  0.379256
2021-09-09 18:34:10.539318 : Epoch  6, Batch   3219, Loss  0.858742, Average Loss  0.870725, Time  0.368213
2021-09-09 18:34:12.399729 : Epoch  6, Batch   3220, Loss  0.858751, Average Loss  0.870776, Time  0.425786
2021-09-09 18:34:14.291778 : Epoch  6, Batch   3221, Loss  0.909983, Average Loss  0.870885, Time  0.476818
2021-09-09 18:34:16.098867 : Epoch  6, Batch   3222, Loss  0.855574, Average Loss  0.870821, Time  0.370767
2021-09-09 18:34:17.905784 : Epoch  6, Batch   3223, Loss  0.841809, Average Loss  0.870555, Time  0.377074
2021-09-09 18:34:19.722937 : Epoch  6, Batch   3224, Loss  0.844683, Average Loss  0.870506, Time  0.385617
2021-09-09 18:34:21.621816 : Epoch  6, Batch   3225, Loss  0.849087, Average Loss  0.870226, Time  0.467568
2021-09-09 18:34:23.429847 : Epoch  6, Batch   3226, Loss  0.861653, Average Loss  0.870301, Time  0.376103
2021-09-09 18:34:25.259173 : Epoch  6, Batch   3227, Loss  0.857474, Average Loss  0.870061, Time  0.377994
2021-09-09 18:34:27.084860 : Epoch  6, Batch   3228, Loss  0.861324, Average Loss  0.870126, Time  0.395131
2021-09-09 18:34:28.986750 : Epoch  6, Batch   3229, Loss  0.868880, Average Loss  0.869960, Time  0.487749
2021-09-09 18:34:30.780780 : Epoch  6, Batch   3230, Loss  0.835074, Average Loss  0.869846, Time  0.371203
2021-09-09 18:34:32.570766 : Epoch  6, Batch   3231, Loss  0.856826, Average Loss  0.869633, Time  0.368632
2021-09-09 18:34:34.406129 : Epoch  6, Batch   3232, Loss  0.845663, Average Loss  0.869569, Time  0.416798
2021-09-09 18:34:36.298822 : Epoch  6, Batch   3233, Loss  0.877521, Average Loss  0.869563, Time  0.464953
2021-09-09 18:34:38.103237 : Epoch  6, Batch   3234, Loss  0.846739, Average Loss  0.869528, Time  0.355688
2021-09-09 18:34:39.904818 : Epoch  6, Batch   3235, Loss  0.853940, Average Loss  0.869520, Time  0.380431
2021-09-09 18:34:41.718243 : Epoch  6, Batch   3236, Loss  0.846016, Average Loss  0.869347, Time  0.368106
2021-09-09 18:34:43.630776 : Epoch  6, Batch   3237, Loss  0.861398, Average Loss  0.869313, Time  0.490890
2021-09-09 18:34:45.441121 : Epoch  6, Batch   3238, Loss  0.900163, Average Loss  0.869439, Time  0.364301
2021-09-09 18:34:47.240084 : Epoch  6, Batch   3239, Loss  0.891392, Average Loss  0.869585, Time  0.381332
2021-09-09 18:34:49.059126 : Epoch  6, Batch   3240, Loss  0.872088, Average Loss  0.869481, Time  0.373704
2021-09-09 18:34:50.950784 : Epoch  6, Batch   3241, Loss  0.901154, Average Loss  0.869557, Time  0.464408
2021-09-09 18:34:52.769121 : Epoch  6, Batch   3242, Loss  0.897323, Average Loss  0.869727, Time  0.363894
2021-09-09 18:34:54.585764 : Epoch  6, Batch   3243, Loss  0.888636, Average Loss  0.869828, Time  0.368600
2021-09-09 18:34:56.414920 : Epoch  6, Batch   3244, Loss  0.862721, Average Loss  0.869699, Time  0.378361
2021-09-09 18:34:58.378787 : Epoch  6, Batch   3245, Loss  0.853811, Average Loss  0.869726, Time  0.491227
2021-09-09 18:39:49.241707 : CheckPoint: Validation Loss  0.00060596, Best Loss  0.00056427
2021-09-09 18:39:51.064142 : Epoch  6, Batch   3246, Loss  0.866587, Average Loss  0.869740, Time  0.357229
2021-09-09 18:39:52.868781 : Epoch  6, Batch   3247, Loss  0.884788, Average Loss  0.869927, Time  0.362962
2021-09-09 18:39:54.732765 : Epoch  6, Batch   3248, Loss  0.840276, Average Loss  0.869768, Time  0.455989
2021-09-09 18:39:56.602959 : Epoch  6, Batch   3249, Loss  0.867816, Average Loss  0.869629, Time  0.457813
2021-09-09 18:39:58.407171 : Epoch  6, Batch   3250, Loss  0.876006, Average Loss  0.869651, Time  0.370338
2021-09-09 18:40:00.196196 : Epoch  6, Batch   3251, Loss  0.892630, Average Loss  0.869720, Time  0.364462
2021-09-09 18:40:02.041816 : Epoch  6, Batch   3252, Loss  0.845471, Average Loss  0.869609, Time  0.426632
2021-09-09 18:40:03.934768 : Epoch  6, Batch   3253, Loss  0.862096, Average Loss  0.869520, Time  0.462603
2021-09-09 18:40:05.753175 : Epoch  6, Batch   3254, Loss  0.871134, Average Loss  0.869590, Time  0.388631
2021-09-09 18:40:07.546117 : Epoch  6, Batch   3255, Loss  0.848125, Average Loss  0.869492, Time  0.364364
2021-09-09 18:40:09.364208 : Epoch  6, Batch   3256, Loss  0.841077, Average Loss  0.869388, Time  0.382631
2021-09-09 18:40:11.282769 : Epoch  6, Batch   3257, Loss  0.842948, Average Loss  0.869228, Time  0.461331
2021-09-09 18:40:13.068766 : Epoch  6, Batch   3258, Loss  0.925470, Average Loss  0.869544, Time  0.344679
2021-09-09 18:40:14.867772 : Epoch  6, Batch   3259, Loss  0.873129, Average Loss  0.869411, Time  0.356695
2021-09-09 18:40:16.653766 : Epoch  6, Batch   3260, Loss  0.875129, Average Loss  0.869284, Time  0.369375
2021-09-09 18:40:18.568770 : Epoch  6, Batch   3261, Loss  0.874768, Average Loss  0.869252, Time  0.474951
2021-09-09 18:40:20.390137 : Epoch  6, Batch   3262, Loss  0.866026, Average Loss  0.869094, Time  0.379782
2021-09-09 18:40:22.179777 : Epoch  6, Batch   3263, Loss  0.857970, Average Loss  0.869000, Time  0.364707
2021-09-09 18:40:23.999780 : Epoch  6, Batch   3264, Loss  0.871358, Average Loss  0.869036, Time  0.387744
2021-09-09 18:40:25.907963 : Epoch  6, Batch   3265, Loss  0.857280, Average Loss  0.869009, Time  0.457657
2021-09-09 18:40:27.695818 : Epoch  6, Batch   3266, Loss  0.838286, Average Loss  0.868731, Time  0.355815
2021-09-09 18:40:29.471786 : Epoch  6, Batch   3267, Loss  0.883857, Average Loss  0.868865, Time  0.363091
2021-09-09 18:40:31.257768 : Epoch  6, Batch   3268, Loss  0.864558, Average Loss  0.868779, Time  0.380810
2021-09-09 18:40:33.167769 : Epoch  6, Batch   3269, Loss  0.866736, Average Loss  0.868834, Time  0.462642
2021-09-09 18:40:34.991806 : Epoch  6, Batch   3270, Loss  0.880951, Average Loss  0.869003, Time  0.371017
2021-09-09 18:40:36.770768 : Epoch  6, Batch   3271, Loss  0.863697, Average Loss  0.869003, Time  0.365018
2021-09-09 18:40:38.600230 : Epoch  6, Batch   3272, Loss  0.892009, Average Loss  0.869205, Time  0.392452
2021-09-09 18:40:40.532131 : Epoch  6, Batch   3273, Loss  0.857514, Average Loss  0.869253, Time  0.494038
2021-09-09 18:40:42.344163 : Epoch  6, Batch   3274, Loss  0.899883, Average Loss  0.869275, Time  0.364172
2021-09-09 18:40:44.143803 : Epoch  6, Batch   3275, Loss  0.886674, Average Loss  0.869213, Time  0.364188
2021-09-09 18:40:45.943818 : Epoch  6, Batch   3276, Loss  0.868201, Average Loss  0.869254, Time  0.375038
2021-09-09 18:40:47.844094 : Epoch  6, Batch   3277, Loss  0.879185, Average Loss  0.869420, Time  0.465411
2021-09-09 18:40:49.674098 : Epoch  6, Batch   3278, Loss  0.889509, Average Loss  0.869537, Time  0.369914
2021-09-09 18:40:51.482951 : Epoch  6, Batch   3279, Loss  0.865989, Average Loss  0.869566, Time  0.363565
2021-09-09 18:40:53.288573 : Epoch  6, Batch   3280, Loss  0.864868, Average Loss  0.869613, Time  0.368633
2021-09-09 18:40:55.178771 : Epoch  6, Batch   3281, Loss  0.886195, Average Loss  0.869714, Time  0.471275
2021-09-09 18:40:56.960777 : Epoch  6, Batch   3282, Loss  0.896080, Average Loss  0.869732, Time  0.361252
2021-09-09 18:40:58.770793 : Epoch  6, Batch   3283, Loss  0.881213, Average Loss  0.869730, Time  0.388861
2021-09-09 18:41:00.592803 : Epoch  6, Batch   3284, Loss  0.860593, Average Loss  0.869660, Time  0.391666
2021-09-09 18:41:02.495826 : Epoch  6, Batch   3285, Loss  0.889728, Average Loss  0.869747, Time  0.474340
2021-09-09 18:41:04.319004 : Epoch  6, Batch   3286, Loss  0.851280, Average Loss  0.869736, Time  0.390752
2021-09-09 18:41:06.145766 : Epoch  6, Batch   3287, Loss  0.874102, Average Loss  0.869690, Time  0.388712
2021-09-09 18:41:07.968778 : Epoch  6, Batch   3288, Loss  0.892969, Average Loss  0.869901, Time  0.388973
2021-09-09 18:41:09.874943 : Epoch  6, Batch   3289, Loss  0.895292, Average Loss  0.870054, Time  0.478490
2021-09-09 18:41:11.673692 : Epoch  6, Batch   3290, Loss  0.888268, Average Loss  0.870182, Time  0.360460
2021-09-09 18:41:13.504768 : Epoch  6, Batch   3291, Loss  0.901612, Average Loss  0.870306, Time  0.364161
2021-09-09 18:41:15.314081 : Epoch  6, Batch   3292, Loss  0.851679, Average Loss  0.870361, Time  0.363655
2021-09-09 18:41:17.215089 : Epoch  6, Batch   3293, Loss  0.881411, Average Loss  0.870475, Time  0.460740
2021-09-09 18:41:19.025138 : Epoch  6, Batch   3294, Loss  0.832135, Average Loss  0.870274, Time  0.355473
2021-09-09 18:41:20.834409 : Epoch  6, Batch   3295, Loss  0.869131, Average Loss  0.870259, Time  0.379080
2021-09-09 18:41:22.637770 : Epoch  6, Batch   3296, Loss  0.889974, Average Loss  0.870117, Time  0.369001
2021-09-09 18:41:24.536785 : Epoch  6, Batch   3297, Loss  0.871114, Average Loss  0.870081, Time  0.463583
2021-09-09 18:41:26.339766 : Epoch  6, Batch   3298, Loss  0.865161, Average Loss  0.870184, Time  0.369434
2021-09-09 18:41:28.129778 : Epoch  6, Batch   3299, Loss  0.875257, Average Loss  0.870278, Time  0.372824
2021-09-09 18:41:29.924178 : Epoch  6, Batch   3300, Loss  0.846149, Average Loss  0.870229, Time  0.387269
2021-09-09 18:41:31.857197 : Epoch  6, Batch   3301, Loss  0.877385, Average Loss  0.870298, Time  0.491348
2021-09-09 18:41:33.641827 : Epoch  6, Batch   3302, Loss  0.844678, Average Loss  0.870276, Time  0.355054
2021-09-09 18:41:35.432785 : Epoch  6, Batch   3303, Loss  0.884734, Average Loss  0.870278, Time  0.363595
2021-09-09 18:41:37.228774 : Epoch  6, Batch   3304, Loss  0.851946, Average Loss  0.870155, Time  0.380706
2021-09-09 18:41:39.153807 : Epoch  6, Batch   3305, Loss  0.900315, Average Loss  0.870144, Time  0.470685
2021-09-09 18:41:40.951779 : Epoch  6, Batch   3306, Loss  0.852617, Average Loss  0.870062, Time  0.363011
2021-09-09 18:41:42.767812 : Epoch  6, Batch   3307, Loss  0.848956, Average Loss  0.869930, Time  0.376328
2021-09-09 18:41:44.613981 : Epoch  6, Batch   3308, Loss  0.869009, Average Loss  0.869980, Time  0.406215
2021-09-09 18:41:46.506261 : Epoch  6, Batch   3309, Loss  0.860843, Average Loss  0.869863, Time  0.464586
2021-09-09 18:41:48.278009 : Epoch  6, Batch   3310, Loss  0.872257, Average Loss  0.869832, Time  0.354048
2021-09-09 18:41:50.099811 : Epoch  6, Batch   3311, Loss  0.866771, Average Loss  0.869890, Time  0.387177
2021-09-09 18:41:51.909817 : Epoch  6, Batch   3312, Loss  0.869395, Average Loss  0.869925, Time  0.391246
2021-09-09 18:41:53.793251 : Epoch  6, Batch   3313, Loss  0.854672, Average Loss  0.869995, Time  0.469196
2021-09-09 18:41:55.556859 : Epoch  6, Batch   3314, Loss  0.895586, Average Loss  0.870196, Time  0.362639
2021-09-09 18:41:57.361813 : Epoch  6, Batch   3315, Loss  0.847295, Average Loss  0.869999, Time  0.365278
2021-09-09 18:41:59.182821 : Epoch  6, Batch   3316, Loss  0.871272, Average Loss  0.870193, Time  0.391218
2021-09-09 18:42:01.087778 : Epoch  6, Batch   3317, Loss  0.883989, Average Loss  0.870169, Time  0.469247
2021-09-09 18:42:02.894767 : Epoch  6, Batch   3318, Loss  0.870500, Average Loss  0.870182, Time  0.362202
2021-09-09 18:42:04.704783 : Epoch  6, Batch   3319, Loss  0.860837, Average Loss  0.870036, Time  0.362124
2021-09-09 18:42:06.548185 : Epoch  6, Batch   3320, Loss  0.869366, Average Loss  0.869867, Time  0.420086
2021-09-09 18:42:08.492126 : Epoch  6, Batch   3321, Loss  0.866153, Average Loss  0.869790, Time  0.479270
2021-09-09 18:42:10.375818 : Epoch  6, Batch   3322, Loss  0.860870, Average Loss  0.869869, Time  0.444474
2021-09-09 18:42:12.183129 : Epoch  6, Batch   3323, Loss  0.875692, Average Loss  0.869935, Time  0.365992
2021-09-09 18:42:13.975351 : Epoch  6, Batch   3324, Loss  0.855250, Average Loss  0.869985, Time  0.361375
2021-09-09 18:42:15.861470 : Epoch  6, Batch   3325, Loss  0.881005, Average Loss  0.870133, Time  0.461260
2021-09-09 18:42:17.795972 : Epoch  6, Batch   3326, Loss  0.878302, Average Loss  0.870096, Time  0.486118
2021-09-09 18:42:19.566773 : Epoch  6, Batch   3327, Loss  0.857972, Average Loss  0.869900, Time  0.359047
2021-09-09 18:42:21.394707 : Epoch  6, Batch   3328, Loss  0.870166, Average Loss  0.869965, Time  0.384038
2021-09-09 18:42:23.220767 : Epoch  6, Batch   3329, Loss  0.861139, Average Loss  0.869808, Time  0.379841
2021-09-09 18:42:25.111765 : Epoch  6, Batch   3330, Loss  0.873600, Average Loss  0.869734, Time  0.473718
2021-09-09 18:42:26.887929 : Epoch  6, Batch   3331, Loss  0.867342, Average Loss  0.869677, Time  0.367638
2021-09-09 18:42:28.684782 : Epoch  6, Batch   3332, Loss  0.865686, Average Loss  0.869603, Time  0.367027
2021-09-09 18:42:30.515775 : Epoch  6, Batch   3333, Loss  0.890719, Average Loss  0.869643, Time  0.406725
2021-09-09 18:42:32.443766 : Epoch  6, Batch   3334, Loss  0.903187, Average Loss  0.869854, Time  0.484817
2021-09-09 18:42:34.252788 : Epoch  6, Batch   3335, Loss  0.835701, Average Loss  0.869667, Time  0.387734
2021-09-09 18:42:36.051661 : Epoch  6, Batch   3336, Loss  0.885588, Average Loss  0.869805, Time  0.368964
2021-09-09 18:42:37.867775 : Epoch  6, Batch   3337, Loss  0.859311, Average Loss  0.869681, Time  0.381442
2021-09-09 18:42:39.754937 : Epoch  6, Batch   3338, Loss  0.842391, Average Loss  0.869522, Time  0.464785
2021-09-09 18:42:41.558848 : Epoch  6, Batch   3339, Loss  0.869849, Average Loss  0.869556, Time  0.367694
2021-09-09 18:42:43.352768 : Epoch  6, Batch   3340, Loss  0.873684, Average Loss  0.869563, Time  0.361574
2021-09-09 18:42:45.223765 : Epoch  6, Batch   3341, Loss  0.879295, Average Loss  0.869594, Time  0.407544
2021-09-09 18:42:47.139766 : Epoch  6, Batch   3342, Loss  0.889004, Average Loss  0.869795, Time  0.473126
2021-09-09 18:42:48.982706 : Epoch  6, Batch   3343, Loss  0.864703, Average Loss  0.869667, Time  0.391398
2021-09-09 18:42:50.834773 : Epoch  6, Batch   3344, Loss  0.894195, Average Loss  0.869872, Time  0.365222
2021-09-09 18:42:52.632787 : Epoch  6, Batch   3345, Loss  0.852816, Average Loss  0.869688, Time  0.372678
2021-09-09 18:47:42.577712 : CheckPoint: Validation Loss  0.00058008, Best Loss  0.00056427
2021-09-09 18:47:44.409803 : Epoch  6, Batch   3346, Loss  0.905635, Average Loss  0.869761, Time  0.427533
2021-09-09 18:47:46.201657 : Epoch  6, Batch   3347, Loss  0.892819, Average Loss  0.869812, Time  0.369544
2021-09-09 18:47:48.051197 : Epoch  6, Batch   3348, Loss  0.915105, Average Loss  0.870117, Time  0.418386
2021-09-09 18:47:49.843847 : Epoch  6, Batch   3349, Loss  0.874310, Average Loss  0.870339, Time  0.386375
2021-09-09 18:47:51.698893 : Epoch  6, Batch   3350, Loss  0.852545, Average Loss  0.870253, Time  0.435124
2021-09-09 18:47:53.479793 : Epoch  6, Batch   3351, Loss  0.872365, Average Loss  0.870084, Time  0.372042
2021-09-09 18:47:55.342997 : Epoch  6, Batch   3352, Loss  0.887092, Average Loss  0.870214, Time  0.439528
2021-09-09 18:47:57.160765 : Epoch  6, Batch   3353, Loss  0.861762, Average Loss  0.870209, Time  0.371722
2021-09-09 18:47:59.002946 : Epoch  6, Batch   3354, Loss  0.861083, Average Loss  0.870219, Time  0.401888
2021-09-09 18:48:00.784739 : Epoch  6, Batch   3355, Loss  0.839328, Average Loss  0.869966, Time  0.367917
2021-09-09 18:48:02.614027 : Epoch  6, Batch   3356, Loss  0.896655, Average Loss  0.870151, Time  0.406699
2021-09-09 18:48:04.406369 : Epoch  6, Batch   3357, Loss  0.883540, Average Loss  0.870263, Time  0.384701
2021-09-09 18:48:06.257844 : Epoch  6, Batch   3358, Loss  0.891154, Average Loss  0.870440, Time  0.388530
2021-09-09 18:48:08.050770 : Epoch  6, Batch   3359, Loss  0.873065, Average Loss  0.870542, Time  0.381173
2021-09-09 18:48:09.873276 : Epoch  6, Batch   3360, Loss  0.865062, Average Loss  0.870433, Time  0.374087
2021-09-09 18:48:11.701140 : Epoch  6, Batch   3361, Loss  0.858597, Average Loss  0.870534, Time  0.364408
2021-09-09 18:48:13.487293 : Epoch  6, Batch   3362, Loss  0.872755, Average Loss  0.870454, Time  0.383803
2021-09-09 18:48:15.261110 : Epoch  6, Batch   3363, Loss  0.899099, Average Loss  0.870538, Time  0.369795
2021-09-09 18:48:17.117788 : Epoch  6, Batch   3364, Loss  0.878445, Average Loss  0.870592, Time  0.413351
2021-09-09 18:48:18.933513 : Epoch  6, Batch   3365, Loss  0.881686, Average Loss  0.870582, Time  0.362138
2021-09-09 18:48:20.730778 : Epoch  6, Batch   3366, Loss  0.863508, Average Loss  0.870388, Time  0.366845
2021-09-09 18:48:22.538843 : Epoch  6, Batch   3367, Loss  0.864214, Average Loss  0.870475, Time  0.378050
2021-09-09 18:48:24.343770 : Epoch  6, Batch   3368, Loss  0.855691, Average Loss  0.870510, Time  0.391124
2021-09-09 18:48:26.126770 : Epoch  6, Batch   3369, Loss  0.869507, Average Loss  0.870488, Time  0.365483
2021-09-09 18:48:27.976265 : Epoch  6, Batch   3370, Loss  0.853292, Average Loss  0.870375, Time  0.403306
2021-09-09 18:48:29.789182 : Epoch  6, Batch   3371, Loss  0.887933, Average Loss  0.870436, Time  0.392442
2021-09-09 18:48:31.604006 : Epoch  6, Batch   3372, Loss  0.874483, Average Loss  0.870433, Time  0.378367
2021-09-09 18:48:33.407058 : Epoch  6, Batch   3373, Loss  0.873782, Average Loss  0.870563, Time  0.366064
2021-09-09 18:48:35.227896 : Epoch  6, Batch   3374, Loss  0.872450, Average Loss  0.870518, Time  0.373894
2021-09-09 18:48:37.060766 : Epoch  6, Batch   3375, Loss  0.884865, Average Loss  0.870659, Time  0.388107
2021-09-09 18:48:38.862086 : Epoch  6, Batch   3376, Loss  0.884811, Average Loss  0.870728, Time  0.373714
2021-09-09 18:48:40.667918 : Epoch  6, Batch   3377, Loss  0.874371, Average Loss  0.870825, Time  0.374824
2021-09-09 18:48:42.501902 : Epoch  6, Batch   3378, Loss  0.844768, Average Loss  0.870598, Time  0.392434
2021-09-09 18:48:44.304774 : Epoch  6, Batch   3379, Loss  0.868595, Average Loss  0.870568, Time  0.378763
2021-09-09 18:48:46.092046 : Epoch  6, Batch   3380, Loss  0.890947, Average Loss  0.870626, Time  0.386352
2021-09-09 18:48:47.888151 : Epoch  6, Batch   3381, Loss  0.890594, Average Loss  0.870773, Time  0.376158
2021-09-09 18:48:49.682943 : Epoch  6, Batch   3382, Loss  0.868546, Average Loss  0.870865, Time  0.382622
2021-09-09 18:48:51.460443 : Epoch  6, Batch   3383, Loss  0.891541, Average Loss  0.870953, Time  0.366447
2021-09-09 18:48:53.292764 : Epoch  6, Batch   3384, Loss  0.881280, Average Loss  0.871024, Time  0.377443
2021-09-09 18:48:55.096764 : Epoch  6, Batch   3385, Loss  0.856828, Average Loss  0.870917, Time  0.373871
2021-09-09 18:48:56.902766 : Epoch  6, Batch   3386, Loss  0.858714, Average Loss  0.870817, Time  0.383315
2021-09-09 18:48:58.687081 : Epoch  6, Batch   3387, Loss  0.885643, Average Loss  0.870906, Time  0.368539
2021-09-09 18:49:00.510241 : Epoch  6, Batch   3388, Loss  0.866574, Average Loss  0.870867, Time  0.399166
2021-09-09 18:49:02.357294 : Epoch  6, Batch   3389, Loss  0.882466, Average Loss  0.870882, Time  0.374535
2021-09-09 18:49:04.132391 : Epoch  6, Batch   3390, Loss  0.874499, Average Loss  0.870858, Time  0.371185
2021-09-09 18:49:05.961497 : Epoch  6, Batch   3391, Loss  0.859646, Average Loss  0.870789, Time  0.394938
2021-09-09 18:49:07.793415 : Epoch  6, Batch   3392, Loss  0.854775, Average Loss  0.870851, Time  0.387690
2021-09-09 18:49:09.607833 : Epoch  6, Batch   3393, Loss  0.870472, Average Loss  0.870978, Time  0.366010
2021-09-09 18:49:11.423978 : Epoch  6, Batch   3394, Loss  0.862560, Average Loss  0.870966, Time  0.375834
2021-09-09 18:49:13.208227 : Epoch  6, Batch   3395, Loss  0.889639, Average Loss  0.870997, Time  0.370640
2021-09-09 18:49:15.029306 : Epoch  6, Batch   3396, Loss  0.884814, Average Loss  0.870942, Time  0.385428
2021-09-09 18:49:16.832891 : Epoch  6, Batch   3397, Loss  0.876247, Average Loss  0.870811, Time  0.371436
2021-09-09 18:49:18.633832 : Epoch  6, Batch   3398, Loss  0.854478, Average Loss  0.870926, Time  0.388686
2021-09-09 18:49:20.433014 : Epoch  6, Batch   3399, Loss  0.900308, Average Loss  0.871006, Time  0.369623
2021-09-09 18:49:22.261857 : Epoch  6, Batch   3400, Loss  0.860649, Average Loss  0.870946, Time  0.393013
2021-09-09 18:49:24.053112 : Epoch  6, Batch   3401, Loss  0.886857, Average Loss  0.871032, Time  0.373571
2021-09-09 18:49:25.888766 : Epoch  6, Batch   3402, Loss  0.857896, Average Loss  0.870790, Time  0.406716
2021-09-09 18:49:27.662397 : Epoch  6, Batch   3403, Loss  0.879859, Average Loss  0.870839, Time  0.359296
2021-09-09 18:49:29.500689 : Epoch  6, Batch   3404, Loss  0.853512, Average Loss  0.870853, Time  0.378460
2021-09-09 18:49:31.347777 : Epoch  6, Batch   3405, Loss  0.888695, Average Loss  0.870859, Time  0.396640
2021-09-09 18:49:33.201840 : Epoch  6, Batch   3406, Loss  0.855782, Average Loss  0.870814, Time  0.397025
2021-09-09 18:49:34.993776 : Epoch  6, Batch   3407, Loss  0.891840, Average Loss  0.870868, Time  0.377677
2021-09-09 18:49:36.807503 : Epoch  6, Batch   3408, Loss  0.915845, Average Loss  0.871120, Time  0.392055
2021-09-09 18:49:38.622239 : Epoch  6, Batch   3409, Loss  0.862815, Average Loss  0.870993, Time  0.362952
2021-09-09 18:49:40.445760 : Epoch  6, Batch   3410, Loss  0.851458, Average Loss  0.871004, Time  0.389429
2021-09-09 18:49:42.245450 : Epoch  6, Batch   3411, Loss  0.873860, Average Loss  0.870845, Time  0.379399
2021-09-09 18:49:44.061084 : Epoch  6, Batch   3412, Loss  0.831815, Average Loss  0.870544, Time  0.387875
2021-09-09 18:49:45.898916 : Epoch  6, Batch   3413, Loss  0.868731, Average Loss  0.870615, Time  0.392301
2021-09-09 18:49:47.700782 : Epoch  6, Batch   3414, Loss  0.866448, Average Loss  0.870749, Time  0.374611
2021-09-09 18:49:49.485077 : Epoch  6, Batch   3415, Loss  0.914792, Average Loss  0.870952, Time  0.368093
2021-09-09 18:49:51.287777 : Epoch  6, Batch   3416, Loss  0.856687, Average Loss  0.871017, Time  0.379773
2021-09-09 18:49:53.087783 : Epoch  6, Batch   3417, Loss  0.891379, Average Loss  0.871118, Time  0.365605
2021-09-09 18:49:54.911766 : Epoch  6, Batch   3418, Loss  0.884156, Average Loss  0.871169, Time  0.382561
2021-09-09 18:49:56.740528 : Epoch  6, Batch   3419, Loss  0.861638, Average Loss  0.871184, Time  0.373457
2021-09-09 18:49:58.569452 : Epoch  6, Batch   3420, Loss  0.882872, Average Loss  0.871304, Time  0.368488
2021-09-09 18:50:00.364926 : Epoch  6, Batch   3421, Loss  0.904024, Average Loss  0.871274, Time  0.371722
2021-09-09 18:50:02.157258 : Epoch  6, Batch   3422, Loss  0.872125, Average Loss  0.871357, Time  0.378623
2021-09-09 18:50:03.940786 : Epoch  6, Batch   3423, Loss  0.878660, Average Loss  0.871541, Time  0.369706
2021-09-09 18:50:05.784297 : Epoch  6, Batch   3424, Loss  0.864123, Average Loss  0.871639, Time  0.417821
2021-09-09 18:50:07.596397 : Epoch  6, Batch   3425, Loss  0.863047, Average Loss  0.871708, Time  0.377169
2021-09-09 18:50:09.394349 : Epoch  6, Batch   3426, Loss  0.877724, Average Loss  0.871789, Time  0.373575
2021-09-09 18:50:11.184564 : Epoch  6, Batch   3427, Loss  0.866086, Average Loss  0.871832, Time  0.370172
2021-09-09 18:50:12.993840 : Epoch  6, Batch   3428, Loss  0.852152, Average Loss  0.871786, Time  0.380004
2021-09-09 18:50:14.783763 : Epoch  6, Batch   3429, Loss  0.895174, Average Loss  0.871917, Time  0.364952
2021-09-09 18:50:16.607034 : Epoch  6, Batch   3430, Loss  0.887667, Average Loss  0.872180, Time  0.396299
2021-09-09 18:50:18.408626 : Epoch  6, Batch   3431, Loss  0.854823, Average Loss  0.872170, Time  0.385623
2021-09-09 18:50:20.224770 : Epoch  6, Batch   3432, Loss  0.862372, Average Loss  0.872254, Time  0.400262
2021-09-09 18:50:22.070023 : Epoch  6, Batch   3433, Loss  0.890265, Average Loss  0.872318, Time  0.394962
2021-09-09 18:50:23.878318 : Epoch  6, Batch   3434, Loss  0.881621, Average Loss  0.872492, Time  0.368228
2021-09-09 18:50:25.662122 : Epoch  6, Batch   3435, Loss  0.850589, Average Loss  0.872475, Time  0.365209
2021-09-09 18:50:27.463056 : Epoch  6, Batch   3436, Loss  0.883696, Average Loss  0.872664, Time  0.386912
2021-09-09 18:50:29.247157 : Epoch  6, Batch   3437, Loss  0.871878, Average Loss  0.872716, Time  0.364023
2021-09-09 18:50:31.067645 : Epoch  6, Batch   3438, Loss  0.873217, Average Loss  0.872581, Time  0.387995
2021-09-09 18:50:32.892008 : Epoch  6, Batch   3439, Loss  0.857314, Average Loss  0.872411, Time  0.363654
2021-09-09 18:50:34.748362 : Epoch  6, Batch   3440, Loss  0.867798, Average Loss  0.872390, Time  0.381806
2021-09-09 18:50:36.537322 : Epoch  6, Batch   3441, Loss  0.881661, Average Loss  0.872292, Time  0.365329
2021-09-09 18:50:38.345187 : Epoch  6, Batch   3442, Loss  0.913158, Average Loss  0.872371, Time  0.384767
2021-09-09 18:50:40.127791 : Epoch  6, Batch   3443, Loss  0.892215, Average Loss  0.872389, Time  0.364389
2021-09-09 18:50:41.959796 : Epoch  6, Batch   3444, Loss  0.876427, Average Loss  0.872458, Time  0.410297
2021-09-09 18:50:49.451158 : Epoch  6, Batch   3445, Loss  0.906354, Average Loss  0.872720, Time  0.388036
2021-09-09 18:55:40.543726 : CheckPoint: Validation Loss  0.00060892, Best Loss  0.00056427
2021-09-09 18:55:42.326245 : Epoch  6, Batch   3446, Loss  0.878180, Average Loss  0.872778, Time  0.364994
2021-09-09 18:55:44.229819 : Epoch  6, Batch   3447, Loss  0.861581, Average Loss  0.872662, Time  0.485493
2021-09-09 18:55:46.122081 : Epoch  6, Batch   3448, Loss  0.879153, Average Loss  0.872857, Time  0.456153
2021-09-09 18:55:47.921100 : Epoch  6, Batch   3449, Loss  0.862829, Average Loss  0.872832, Time  0.368381
2021-09-09 18:55:49.726100 : Epoch  6, Batch   3450, Loss  0.895106, Average Loss  0.872927, Time  0.363874
2021-09-09 18:55:51.579784 : Epoch  6, Batch   3451, Loss  0.850637, Average Loss  0.872717, Time  0.396241
2021-09-09 18:55:53.470776 : Epoch  6, Batch   3452, Loss  0.864009, Average Loss  0.872810, Time  0.464307
2021-09-09 18:55:55.381668 : Epoch  6, Batch   3453, Loss  0.882663, Average Loss  0.872913, Time  0.415004
2021-09-09 18:55:57.200762 : Epoch  6, Batch   3454, Loss  0.882375, Average Loss  0.872969, Time  0.364149
2021-09-09 18:55:59.019116 : Epoch  6, Batch   3455, Loss  0.868290, Average Loss  0.873070, Time  0.383760
2021-09-09 18:56:00.905773 : Epoch  6, Batch   3456, Loss  0.850311, Average Loss  0.873116, Time  0.451095
2021-09-09 18:56:02.837066 : Epoch  6, Batch   3457, Loss  0.871038, Average Loss  0.873257, Time  0.491849
2021-09-09 18:56:04.636763 : Epoch  6, Batch   3458, Loss  0.902337, Average Loss  0.873141, Time  0.379071
2021-09-09 18:56:06.457400 : Epoch  6, Batch   3459, Loss  0.870570, Average Loss  0.873128, Time  0.381339
2021-09-09 18:56:08.309922 : Epoch  6, Batch   3460, Loss  0.870532, Average Loss  0.873105, Time  0.414182
2021-09-09 18:56:10.201781 : Epoch  6, Batch   3461, Loss  0.843281, Average Loss  0.872948, Time  0.476784
2021-09-09 18:56:11.981724 : Epoch  6, Batch   3462, Loss  0.876087, Average Loss  0.872998, Time  0.364845
2021-09-09 18:56:13.764115 : Epoch  6, Batch   3463, Loss  0.848095, Average Loss  0.872949, Time  0.363788
2021-09-09 18:56:15.639773 : Epoch  6, Batch   3464, Loss  0.826017, Average Loss  0.872722, Time  0.427055
2021-09-09 18:56:17.575805 : Epoch  6, Batch   3465, Loss  0.878769, Average Loss  0.872829, Time  0.473681
2021-09-09 18:56:19.357780 : Epoch  6, Batch   3466, Loss  0.871674, Average Loss  0.872996, Time  0.354851
2021-09-09 18:56:21.151780 : Epoch  6, Batch   3467, Loss  0.865254, Average Loss  0.872903, Time  0.361613
2021-09-09 18:56:22.975763 : Epoch  6, Batch   3468, Loss  0.846888, Average Loss  0.872815, Time  0.375150
2021-09-09 18:56:24.882105 : Epoch  6, Batch   3469, Loss  0.871999, Average Loss  0.872841, Time  0.469651
2021-09-09 18:56:26.745780 : Epoch  6, Batch   3470, Loss  0.884431, Average Loss  0.872859, Time  0.436659
2021-09-09 18:56:28.547156 : Epoch  6, Batch   3471, Loss  0.872894, Average Loss  0.872905, Time  0.367538
2021-09-09 18:56:30.393188 : Epoch  6, Batch   3472, Loss  0.851502, Average Loss  0.872702, Time  0.402533
2021-09-09 18:56:32.265782 : Epoch  6, Batch   3473, Loss  0.862555, Average Loss  0.872727, Time  0.434784
2021-09-09 18:56:34.195766 : Epoch  6, Batch   3474, Loss  0.878455, Average Loss  0.872620, Time  0.461706
2021-09-09 18:56:36.067558 : Epoch  6, Batch   3475, Loss  0.868171, Average Loss  0.872528, Time  0.389587
2021-09-09 18:56:37.906117 : Epoch  6, Batch   3476, Loss  0.850106, Average Loss  0.872437, Time  0.376769
2021-09-09 18:56:39.710195 : Epoch  6, Batch   3477, Loss  0.879165, Average Loss  0.872437, Time  0.381132
2021-09-09 18:56:41.648778 : Epoch  6, Batch   3478, Loss  0.863218, Average Loss  0.872306, Time  0.474049
2021-09-09 18:56:43.561181 : Epoch  6, Batch   3479, Loss  0.839577, Average Loss  0.872174, Time  0.485083
2021-09-09 18:56:45.373795 : Epoch  6, Batch   3480, Loss  0.864630, Average Loss  0.872172, Time  0.365391
2021-09-09 18:56:47.159088 : Epoch  6, Batch   3481, Loss  0.885775, Average Loss  0.872170, Time  0.361212
2021-09-09 18:56:49.006786 : Epoch  6, Batch   3482, Loss  0.860291, Average Loss  0.871991, Time  0.383919
2021-09-09 18:56:50.923778 : Epoch  6, Batch   3483, Loss  0.865536, Average Loss  0.871913, Time  0.479713
2021-09-09 18:56:52.712156 : Epoch  6, Batch   3484, Loss  0.878973, Average Loss  0.872005, Time  0.366446
2021-09-09 18:56:54.484338 : Epoch  6, Batch   3485, Loss  0.880858, Average Loss  0.871960, Time  0.362091
2021-09-09 18:56:56.317995 : Epoch  6, Batch   3486, Loss  0.874192, Average Loss  0.872075, Time  0.392270
2021-09-09 18:56:58.248041 : Epoch  6, Batch   3487, Loss  0.883250, Average Loss  0.872121, Time  0.463102
2021-09-09 18:57:00.078837 : Epoch  6, Batch   3488, Loss  0.871590, Average Loss  0.872014, Time  0.380659
2021-09-09 18:57:01.897775 : Epoch  6, Batch   3489, Loss  0.879486, Average Loss  0.871935, Time  0.368881
2021-09-09 18:57:03.724847 : Epoch  6, Batch   3490, Loss  0.896027, Average Loss  0.871974, Time  0.365869
2021-09-09 18:57:05.620163 : Epoch  6, Batch   3491, Loss  0.879431, Average Loss  0.871863, Time  0.466415
2021-09-09 18:57:07.546764 : Epoch  6, Batch   3492, Loss  0.887741, Average Loss  0.872043, Time  0.475768
2021-09-09 18:57:09.396102 : Epoch  6, Batch   3493, Loss  0.856329, Average Loss  0.871918, Time  0.360174
2021-09-09 18:57:11.185777 : Epoch  6, Batch   3494, Loss  0.855302, Average Loss  0.872033, Time  0.364882
2021-09-09 18:57:13.011870 : Epoch  6, Batch   3495, Loss  0.852060, Average Loss  0.871948, Time  0.381922
2021-09-09 18:57:14.932855 : Epoch  6, Batch   3496, Loss  0.856401, Average Loss  0.871780, Time  0.485293
2021-09-09 18:57:16.779779 : Epoch  6, Batch   3497, Loss  0.875849, Average Loss  0.871804, Time  0.386211
2021-09-09 18:57:18.623782 : Epoch  6, Batch   3498, Loss  0.846460, Average Loss  0.871710, Time  0.361889
2021-09-09 18:57:20.418317 : Epoch  6, Batch   3499, Loss  0.869103, Average Loss  0.871680, Time  0.362444
2021-09-09 18:57:22.312811 : Epoch  6, Batch   3500, Loss  0.882756, Average Loss  0.871863, Time  0.466420
2021-09-09 18:57:24.219767 : Epoch  6, Batch   3501, Loss  0.899020, Average Loss  0.871971, Time  0.481272
2021-09-09 18:57:26.026487 : Epoch  6, Batch   3502, Loss  0.871390, Average Loss  0.872104, Time  0.382181
2021-09-09 18:57:27.823426 : Epoch  6, Batch   3503, Loss  0.852346, Average Loss  0.871942, Time  0.360872
2021-09-09 18:57:29.639563 : Epoch  6, Batch   3504, Loss  0.827102, Average Loss  0.871818, Time  0.405511
2021-09-09 18:57:31.527856 : Epoch  6, Batch   3505, Loss  0.892172, Average Loss  0.871778, Time  0.462774
2021-09-09 18:57:33.387768 : Epoch  6, Batch   3506, Loss  0.848383, Average Loss  0.871756, Time  0.383569
2021-09-09 18:57:35.192302 : Epoch  6, Batch   3507, Loss  0.867338, Average Loss  0.871848, Time  0.363680
2021-09-09 18:57:37.021781 : Epoch  6, Batch   3508, Loss  0.906341, Average Loss  0.872035, Time  0.372931
2021-09-09 18:57:38.913686 : Epoch  6, Batch   3509, Loss  0.878774, Average Loss  0.872125, Time  0.461739
2021-09-09 18:57:40.725225 : Epoch  6, Batch   3510, Loss  0.854105, Average Loss  0.872034, Time  0.367545
2021-09-09 18:57:42.529240 : Epoch  6, Batch   3511, Loss  0.879693, Average Loss  0.872098, Time  0.362209
2021-09-09 18:57:44.333327 : Epoch  6, Batch   3512, Loss  0.854885, Average Loss  0.872026, Time  0.369760
2021-09-09 18:57:46.289830 : Epoch  6, Batch   3513, Loss  0.836548, Average Loss  0.871935, Time  0.474575
2021-09-09 18:57:48.146780 : Epoch  6, Batch   3514, Loss  0.863678, Average Loss  0.871776, Time  0.421735
2021-09-09 18:57:49.923816 : Epoch  6, Batch   3515, Loss  0.868992, Average Loss  0.871884, Time  0.363252
2021-09-09 18:57:51.724818 : Epoch  6, Batch   3516, Loss  0.889473, Average Loss  0.871975, Time  0.371998
2021-09-09 18:57:53.654079 : Epoch  6, Batch   3517, Loss  0.853050, Average Loss  0.871820, Time  0.466279
2021-09-09 18:57:55.560842 : Epoch  6, Batch   3518, Loss  0.876457, Average Loss  0.871850, Time  0.464390
2021-09-09 18:57:57.360808 : Epoch  6, Batch   3519, Loss  0.875675, Average Loss  0.871924, Time  0.361392
2021-09-09 18:57:59.136785 : Epoch  6, Batch   3520, Loss  0.879350, Average Loss  0.871974, Time  0.369720
2021-09-09 18:58:00.991767 : Epoch  6, Batch   3521, Loss  0.887727, Average Loss  0.872082, Time  0.401479
2021-09-09 18:58:02.907784 : Epoch  6, Batch   3522, Loss  0.883759, Average Loss  0.872197, Time  0.475029
2021-09-09 18:58:04.747769 : Epoch  6, Batch   3523, Loss  0.863405, Average Loss  0.872135, Time  0.363758
2021-09-09 18:58:06.549780 : Epoch  6, Batch   3524, Loss  0.875618, Average Loss  0.872237, Time  0.381434
2021-09-09 18:58:08.355122 : Epoch  6, Batch   3525, Loss  0.903716, Average Loss  0.872351, Time  0.378248
2021-09-09 18:58:10.268768 : Epoch  6, Batch   3526, Loss  0.871900, Average Loss  0.872319, Time  0.470290
2021-09-09 18:58:12.133678 : Epoch  6, Batch   3527, Loss  0.849803, Average Loss  0.872278, Time  0.439878
2021-09-09 18:58:13.943909 : Epoch  6, Batch   3528, Loss  0.899367, Average Loss  0.872424, Time  0.380236
2021-09-09 18:58:15.747827 : Epoch  6, Batch   3529, Loss  0.864683, Average Loss  0.872442, Time  0.369906
2021-09-09 18:58:17.608767 : Epoch  6, Batch   3530, Loss  0.873150, Average Loss  0.872439, Time  0.438864
2021-09-09 18:58:19.511165 : Epoch  6, Batch   3531, Loss  0.880822, Average Loss  0.872507, Time  0.462650
2021-09-09 18:58:21.318119 : Epoch  6, Batch   3532, Loss  0.837453, Average Loss  0.872366, Time  0.367296
2021-09-09 18:58:23.120787 : Epoch  6, Batch   3533, Loss  0.849313, Average Loss  0.872158, Time  0.361788
2021-09-09 18:58:24.954356 : Epoch  6, Batch   3534, Loss  0.868499, Average Loss  0.871985, Time  0.379503
2021-09-09 18:58:26.851085 : Epoch  6, Batch   3535, Loss  0.858670, Average Loss  0.872100, Time  0.462624
2021-09-09 18:58:28.659789 : Epoch  6, Batch   3536, Loss  0.858222, Average Loss  0.871963, Time  0.356374
2021-09-09 18:58:30.432672 : Epoch  6, Batch   3537, Loss  0.870774, Average Loss  0.872020, Time  0.364489
2021-09-09 18:58:32.247112 : Epoch  6, Batch   3538, Loss  0.860221, Average Loss  0.872110, Time  0.391072
2021-09-09 18:58:34.160778 : Epoch  6, Batch   3539, Loss  0.862973, Average Loss  0.872075, Time  0.469646
2021-09-09 18:58:35.962779 : Epoch  6, Batch   3540, Loss  0.845582, Average Loss  0.871935, Time  0.359686
2021-09-09 18:58:37.758025 : Epoch  6, Batch   3541, Loss  0.850911, Average Loss  0.871793, Time  0.356432
2021-09-09 18:58:39.535552 : Epoch  6, Batch   3542, Loss  0.870167, Average Loss  0.871699, Time  0.365196
2021-09-09 18:58:41.453777 : Epoch  6, Batch   3543, Loss  0.869858, Average Loss  0.871724, Time  0.480091
2021-09-09 18:58:43.358325 : Epoch  6, Batch   3544, Loss  0.859653, Average Loss  0.871552, Time  0.455046
2021-09-09 18:58:45.162144 : Epoch  6, Batch   3545, Loss  0.872137, Average Loss  0.871648, Time  0.373489
2021-09-09 19:03:36.163718 : CheckPoint: Validation Loss  0.00058925, Best Loss  0.00056427
2021-09-09 19:03:38.026627 : Epoch  6, Batch   3546, Loss  0.902610, Average Loss  0.871633, Time  0.432665
2021-09-09 19:03:39.830761 : Epoch  6, Batch   3547, Loss  0.877105, Average Loss  0.871555, Time  0.356830
2021-09-09 19:03:41.609213 : Epoch  6, Batch   3548, Loss  0.842800, Average Loss  0.871193, Time  0.369688
2021-09-09 19:03:43.452139 : Epoch  6, Batch   3549, Loss  0.886445, Average Loss  0.871254, Time  0.428979
2021-09-09 19:03:45.342010 : Epoch  6, Batch   3550, Loss  0.876691, Average Loss  0.871374, Time  0.457544
2021-09-09 19:03:47.122787 : Epoch  6, Batch   3551, Loss  0.892428, Average Loss  0.871475, Time  0.357576
2021-09-09 19:03:48.912775 : Epoch  6, Batch   3552, Loss  0.876459, Average Loss  0.871422, Time  0.357223
2021-09-09 19:03:50.711765 : Epoch  6, Batch   3553, Loss  0.883178, Average Loss  0.871529, Time  0.373351
2021-09-09 19:03:52.597777 : Epoch  6, Batch   3554, Loss  0.847907, Average Loss  0.871463, Time  0.465081
2021-09-09 19:03:54.380780 : Epoch  6, Batch   3555, Loss  0.899931, Average Loss  0.871766, Time  0.373779
2021-09-09 19:03:56.178774 : Epoch  6, Batch   3556, Loss  0.814274, Average Loss  0.871354, Time  0.358765
2021-09-09 19:03:57.978079 : Epoch  6, Batch   3557, Loss  0.928481, Average Loss  0.871579, Time  0.367466
2021-09-09 19:03:59.871162 : Epoch  6, Batch   3558, Loss  0.882834, Average Loss  0.871537, Time  0.461123
2021-09-09 19:04:01.664783 : Epoch  6, Batch   3559, Loss  0.856997, Average Loss  0.871457, Time  0.352837
2021-09-09 19:04:03.463774 : Epoch  6, Batch   3560, Loss  0.854692, Average Loss  0.871405, Time  0.359483
2021-09-09 19:04:05.261789 : Epoch  6, Batch   3561, Loss  0.856232, Average Loss  0.871393, Time  0.368776
2021-09-09 19:04:07.152785 : Epoch  6, Batch   3562, Loss  0.860349, Average Loss  0.871331, Time  0.460594
2021-09-09 19:04:08.947109 : Epoch  6, Batch   3563, Loss  0.854227, Average Loss  0.871107, Time  0.357785
2021-09-09 19:04:10.747795 : Epoch  6, Batch   3564, Loss  0.829572, Average Loss  0.870862, Time  0.355729
2021-09-09 19:04:12.542776 : Epoch  6, Batch   3565, Loss  0.896391, Average Loss  0.870936, Time  0.362585
2021-09-09 19:04:14.427572 : Epoch  6, Batch   3566, Loss  0.883081, Average Loss  0.871034, Time  0.457870
2021-09-09 19:04:16.176775 : Epoch  6, Batch   3567, Loss  0.881377, Average Loss  0.871119, Time  0.346918
2021-09-09 19:04:17.973235 : Epoch  6, Batch   3568, Loss  0.868696, Average Loss  0.871184, Time  0.362688
2021-09-09 19:04:19.757778 : Epoch  6, Batch   3569, Loss  0.879656, Average Loss  0.871235, Time  0.359663
2021-09-09 19:04:21.678773 : Epoch  6, Batch   3570, Loss  0.867579, Average Loss  0.871307, Time  0.453322
2021-09-09 19:04:23.463074 : Epoch  6, Batch   3571, Loss  0.859520, Average Loss  0.871165, Time  0.357643
2021-09-09 19:04:25.231181 : Epoch  6, Batch   3572, Loss  0.893664, Average Loss  0.871260, Time  0.362938
2021-09-09 19:04:27.049833 : Epoch  6, Batch   3573, Loss  0.865660, Average Loss  0.871220, Time  0.375239
2021-09-09 19:04:28.945774 : Epoch  6, Batch   3574, Loss  0.868394, Average Loss  0.871200, Time  0.474672
2021-09-09 19:04:30.739801 : Epoch  6, Batch   3575, Loss  0.877149, Average Loss  0.871161, Time  0.352955
2021-09-09 19:04:32.522267 : Epoch  6, Batch   3576, Loss  0.878318, Average Loss  0.871128, Time  0.364798
2021-09-09 19:04:34.335106 : Epoch  6, Batch   3577, Loss  0.843610, Average Loss  0.870975, Time  0.383657
2021-09-09 19:04:36.257822 : Epoch  6, Batch   3578, Loss  0.862217, Average Loss  0.871062, Time  0.454589
2021-09-09 19:04:38.051239 : Epoch  6, Batch   3579, Loss  0.891841, Average Loss  0.871178, Time  0.348002
2021-09-09 19:04:39.839775 : Epoch  6, Batch   3580, Loss  0.892891, Average Loss  0.871188, Time  0.357421
2021-09-09 19:04:41.637781 : Epoch  6, Batch   3581, Loss  0.865223, Average Loss  0.871061, Time  0.380644
2021-09-09 19:04:43.519262 : Epoch  6, Batch   3582, Loss  0.838026, Average Loss  0.870908, Time  0.467120
2021-09-09 19:04:45.287949 : Epoch  6, Batch   3583, Loss  0.866092, Average Loss  0.870781, Time  0.368224
2021-09-09 19:04:47.070837 : Epoch  6, Batch   3584, Loss  0.860560, Average Loss  0.870678, Time  0.362543
2021-09-09 19:04:48.906766 : Epoch  6, Batch   3585, Loss  0.893381, Average Loss  0.870860, Time  0.386133
2021-09-09 19:04:50.773812 : Epoch  6, Batch   3586, Loss  0.881933, Average Loss  0.870976, Time  0.457214
2021-09-09 19:04:52.549765 : Epoch  6, Batch   3587, Loss  0.883350, Average Loss  0.870965, Time  0.362589
2021-09-09 19:04:54.358854 : Epoch  6, Batch   3588, Loss  0.902000, Average Loss  0.871142, Time  0.356580
2021-09-09 19:04:56.191826 : Epoch  6, Batch   3589, Loss  0.873008, Average Loss  0.871095, Time  0.380485
2021-09-09 19:04:58.076066 : Epoch  6, Batch   3590, Loss  0.880488, Average Loss  0.871125, Time  0.457995
2021-09-09 19:04:59.842777 : Epoch  6, Batch   3591, Loss  0.863893, Average Loss  0.871146, Time  0.359226
2021-09-09 19:05:01.699942 : Epoch  6, Batch   3592, Loss  0.864251, Average Loss  0.871193, Time  0.370827
2021-09-09 19:05:03.494779 : Epoch  6, Batch   3593, Loss  0.893540, Average Loss  0.871309, Time  0.361339
2021-09-09 19:05:05.392952 : Epoch  6, Batch   3594, Loss  0.864859, Average Loss  0.871320, Time  0.448811
2021-09-09 19:05:07.203783 : Epoch  6, Batch   3595, Loss  0.882072, Average Loss  0.871282, Time  0.371913
2021-09-09 19:05:09.006978 : Epoch  6, Batch   3596, Loss  0.870543, Average Loss  0.871211, Time  0.356694
2021-09-09 19:05:10.824778 : Epoch  6, Batch   3597, Loss  0.850810, Average Loss  0.871084, Time  0.390242
2021-09-09 19:05:12.700131 : Epoch  6, Batch   3598, Loss  0.859356, Average Loss  0.871108, Time  0.450992
2021-09-09 19:05:14.488797 : Epoch  6, Batch   3599, Loss  0.879131, Average Loss  0.871002, Time  0.367799
2021-09-09 19:05:16.274950 : Epoch  6, Batch   3600, Loss  0.878229, Average Loss  0.871090, Time  0.355770
2021-09-09 19:05:18.117876 : Epoch  6, Batch   3601, Loss  0.869599, Average Loss  0.871004, Time  0.394978
2021-09-09 19:05:20.033864 : Epoch  6, Batch   3602, Loss  0.870545, Average Loss  0.871067, Time  0.451452
2021-09-09 19:05:21.895870 : Epoch  6, Batch   3603, Loss  0.851961, Average Loss  0.870928, Time  0.402104
2021-09-09 19:05:23.722110 : Epoch  6, Batch   3604, Loss  0.878149, Average Loss  0.871051, Time  0.365160
2021-09-09 19:05:25.496786 : Epoch  6, Batch   3605, Loss  0.888543, Average Loss  0.871050, Time  0.360439
2021-09-09 19:05:27.383063 : Epoch  6, Batch   3606, Loss  0.856906, Average Loss  0.871056, Time  0.440896
2021-09-09 19:05:29.296773 : Epoch  6, Batch   3607, Loss  0.865278, Average Loss  0.870923, Time  0.466926
2021-09-09 19:05:31.082779 : Epoch  6, Batch   3608, Loss  0.903370, Average Loss  0.870861, Time  0.363487
2021-09-09 19:05:32.867778 : Epoch  6, Batch   3609, Loss  0.858710, Average Loss  0.870840, Time  0.356575
2021-09-09 19:05:34.698109 : Epoch  6, Batch   3610, Loss  0.859808, Average Loss  0.870882, Time  0.403720
2021-09-09 19:05:36.615654 : Epoch  6, Batch   3611, Loss  0.857804, Average Loss  0.870802, Time  0.464765
2021-09-09 19:05:38.396107 : Epoch  6, Batch   3612, Loss  0.868566, Average Loss  0.870985, Time  0.349503
2021-09-09 19:05:40.174784 : Epoch  6, Batch   3613, Loss  0.871749, Average Loss  0.871000, Time  0.344923
2021-09-09 19:05:41.991951 : Epoch  6, Batch   3614, Loss  0.854846, Average Loss  0.870942, Time  0.374349
2021-09-09 19:05:43.865104 : Epoch  6, Batch   3615, Loss  0.847243, Average Loss  0.870605, Time  0.458613
2021-09-09 19:05:45.658778 : Epoch  6, Batch   3616, Loss  0.899556, Average Loss  0.870819, Time  0.366368
2021-09-09 19:05:47.422111 : Epoch  6, Batch   3617, Loss  0.855464, Average Loss  0.870639, Time  0.359997
2021-09-09 19:05:49.256808 : Epoch  6, Batch   3618, Loss  0.847017, Average Loss  0.870454, Time  0.392560
2021-09-09 19:05:51.139826 : Epoch  6, Batch   3619, Loss  0.842341, Average Loss  0.870357, Time  0.453394
2021-09-09 19:05:52.910774 : Epoch  6, Batch   3620, Loss  0.838021, Average Loss  0.870133, Time  0.356248
2021-09-09 19:05:54.731785 : Epoch  6, Batch   3621, Loss  0.876510, Average Loss  0.869995, Time  0.371855
2021-09-09 19:05:56.531021 : Epoch  6, Batch   3622, Loss  0.875572, Average Loss  0.870013, Time  0.386063
2021-09-09 19:05:58.406084 : Epoch  6, Batch   3623, Loss  0.863525, Average Loss  0.869937, Time  0.461185
2021-09-09 19:06:00.194400 : Epoch  6, Batch   3624, Loss  0.861526, Average Loss  0.869924, Time  0.343916
2021-09-09 19:06:02.035968 : Epoch  6, Batch   3625, Loss  0.898795, Average Loss  0.870103, Time  0.357509
2021-09-09 19:06:03.857767 : Epoch  6, Batch   3626, Loss  0.875778, Average Loss  0.870093, Time  0.369608
2021-09-09 19:06:05.738781 : Epoch  6, Batch   3627, Loss  0.853127, Average Loss  0.870028, Time  0.455547
2021-09-09 19:06:07.577815 : Epoch  6, Batch   3628, Loss  0.830087, Average Loss  0.869918, Time  0.424760
2021-09-09 19:06:09.365786 : Epoch  6, Batch   3629, Loss  0.874152, Average Loss  0.869813, Time  0.363763
2021-09-09 19:06:11.175871 : Epoch  6, Batch   3630, Loss  0.900661, Average Loss  0.869878, Time  0.356944
2021-09-09 19:06:13.055778 : Epoch  6, Batch   3631, Loss  0.856532, Average Loss  0.869886, Time  0.416649
2021-09-09 19:06:14.951067 : Epoch  6, Batch   3632, Loss  0.841784, Average Loss  0.869783, Time  0.451984
2021-09-09 19:06:16.723764 : Epoch  6, Batch   3633, Loss  0.869151, Average Loss  0.869678, Time  0.336226
2021-09-09 19:06:18.516079 : Epoch  6, Batch   3634, Loss  0.877075, Average Loss  0.869655, Time  0.355550
2021-09-09 19:06:20.322865 : Epoch  6, Batch   3635, Loss  0.855151, Average Loss  0.869678, Time  0.354777
2021-09-09 19:06:22.198111 : Epoch  6, Batch   3636, Loss  0.865001, Average Loss  0.869584, Time  0.449627
2021-09-09 19:06:24.016816 : Epoch  6, Batch   3637, Loss  0.831352, Average Loss  0.869382, Time  0.376770
2021-09-09 19:06:25.807779 : Epoch  6, Batch   3638, Loss  0.908364, Average Loss  0.869557, Time  0.363512
2021-09-09 19:06:27.617018 : Epoch  6, Batch   3639, Loss  0.865728, Average Loss  0.869600, Time  0.357587
2021-09-09 19:06:29.526782 : Epoch  6, Batch   3640, Loss  0.896136, Average Loss  0.869741, Time  0.448884
2021-09-09 19:06:31.425851 : Epoch  6, Batch   3641, Loss  0.848063, Average Loss  0.869573, Time  0.453005
2021-09-09 19:06:33.232783 : Epoch  6, Batch   3642, Loss  0.850999, Average Loss  0.869262, Time  0.368341
2021-09-09 19:06:35.053786 : Epoch  6, Batch   3643, Loss  0.878202, Average Loss  0.869192, Time  0.361567
2021-09-09 19:06:36.900769 : Epoch  6, Batch   3644, Loss  0.860518, Average Loss  0.869113, Time  0.362457
2021-09-09 19:06:38.802824 : Epoch  6, Batch   3645, Loss  0.897475, Average Loss  0.869068, Time  0.456576
2021-09-09 19:11:29.177719 : CheckPoint: Validation Loss  0.00061164, Best Loss  0.00056427
2021-09-09 19:11:30.949790 : Epoch  6, Batch   3646, Loss  0.868083, Average Loss  0.869018, Time  0.346281
2021-09-09 19:11:32.755794 : Epoch  6, Batch   3647, Loss  0.868083, Average Loss  0.869050, Time  0.357409
2021-09-09 19:11:34.555770 : Epoch  6, Batch   3648, Loss  0.852772, Average Loss  0.868919, Time  0.359267
2021-09-09 19:11:36.443776 : Epoch  6, Batch   3649, Loss  0.862120, Average Loss  0.868915, Time  0.482603
2021-09-09 19:11:38.299200 : Epoch  6, Batch   3650, Loss  0.859521, Average Loss  0.868737, Time  0.445565
2021-09-09 19:11:40.081962 : Epoch  6, Batch   3651, Loss  0.884569, Average Loss  0.868907, Time  0.363919
2021-09-09 19:11:41.860816 : Epoch  6, Batch   3652, Loss  0.845769, Average Loss  0.868816, Time  0.358957
2021-09-09 19:11:43.734804 : Epoch  6, Batch   3653, Loss  0.856234, Average Loss  0.868683, Time  0.437653
2021-09-09 19:11:45.615106 : Epoch  6, Batch   3654, Loss  0.844883, Average Loss  0.868496, Time  0.453133
2021-09-09 19:11:47.389100 : Epoch  6, Batch   3655, Loss  0.814300, Average Loss  0.868226, Time  0.343682
2021-09-09 19:11:49.152812 : Epoch  6, Batch   3656, Loss  0.862322, Average Loss  0.868286, Time  0.357342
2021-09-09 19:11:50.920061 : Epoch  6, Batch   3657, Loss  0.890944, Average Loss  0.868386, Time  0.369600
2021-09-09 19:11:52.784778 : Epoch  6, Batch   3658, Loss  0.882078, Average Loss  0.868284, Time  0.455836
2021-09-09 19:11:54.567779 : Epoch  6, Batch   3659, Loss  0.852651, Average Loss  0.868195, Time  0.367820
2021-09-09 19:11:56.362348 : Epoch  6, Batch   3660, Loss  0.857198, Average Loss  0.868128, Time  0.361578
2021-09-09 19:11:58.155851 : Epoch  6, Batch   3661, Loss  0.852656, Average Loss  0.868175, Time  0.386923
2021-09-09 19:12:00.040303 : Epoch  6, Batch   3662, Loss  0.852620, Average Loss  0.868058, Time  0.469465
2021-09-09 19:12:01.818905 : Epoch  6, Batch   3663, Loss  0.878993, Average Loss  0.868212, Time  0.355776
2021-09-09 19:12:03.610029 : Epoch  6, Batch   3664, Loss  0.877143, Average Loss  0.868468, Time  0.375455
2021-09-09 19:12:05.390907 : Epoch  6, Batch   3665, Loss  0.859370, Average Loss  0.868371, Time  0.365759
2021-09-09 19:12:07.282980 : Epoch  6, Batch   3666, Loss  0.886023, Average Loss  0.868442, Time  0.465272
2021-09-09 19:12:09.089463 : Epoch  6, Batch   3667, Loss  0.871302, Average Loss  0.868473, Time  0.367969
2021-09-09 19:12:10.856794 : Epoch  6, Batch   3668, Loss  0.875528, Average Loss  0.868616, Time  0.363716
2021-09-09 19:12:12.647237 : Epoch  6, Batch   3669, Loss  0.869565, Average Loss  0.868604, Time  0.362133
2021-09-09 19:12:14.529795 : Epoch  6, Batch   3670, Loss  0.873986, Average Loss  0.868551, Time  0.463074
2021-09-09 19:12:16.389081 : Epoch  6, Batch   3671, Loss  0.894542, Average Loss  0.868660, Time  0.438128
2021-09-09 19:12:18.153774 : Epoch  6, Batch   3672, Loss  0.891861, Average Loss  0.868862, Time  0.366970
2021-09-09 19:12:19.913100 : Epoch  6, Batch   3673, Loss  0.861256, Average Loss  0.868855, Time  0.365383
2021-09-09 19:12:21.783782 : Epoch  6, Batch   3674, Loss  0.877183, Average Loss  0.868849, Time  0.423440
2021-09-09 19:12:23.718764 : Epoch  6, Batch   3675, Loss  0.863990, Average Loss  0.868828, Time  0.475172
2021-09-09 19:12:25.528778 : Epoch  6, Batch   3676, Loss  0.839663, Average Loss  0.868776, Time  0.375886
2021-09-09 19:12:27.315778 : Epoch  6, Batch   3677, Loss  0.852827, Average Loss  0.868644, Time  0.356297
2021-09-09 19:12:29.110779 : Epoch  6, Batch   3678, Loss  0.880496, Average Loss  0.868730, Time  0.357160
2021-09-09 19:12:31.039775 : Epoch  6, Batch   3679, Loss  0.857779, Average Loss  0.868821, Time  0.465952
2021-09-09 19:12:32.905796 : Epoch  6, Batch   3680, Loss  0.868806, Average Loss  0.868842, Time  0.444421
2021-09-09 19:12:34.697780 : Epoch  6, Batch   3681, Loss  0.860755, Average Loss  0.868717, Time  0.376950
2021-09-09 19:12:36.498776 : Epoch  6, Batch   3682, Loss  0.847426, Average Loss  0.868653, Time  0.362966
2021-09-09 19:12:38.316136 : Epoch  6, Batch   3683, Loss  0.855572, Average Loss  0.868603, Time  0.386161
2021-09-09 19:12:40.174661 : Epoch  6, Batch   3684, Loss  0.870891, Average Loss  0.868562, Time  0.457310
2021-09-09 19:12:41.928630 : Epoch  6, Batch   3685, Loss  0.882150, Average Loss  0.868569, Time  0.358582
2021-09-09 19:12:43.721771 : Epoch  6, Batch   3686, Loss  0.899335, Average Loss  0.868695, Time  0.376689
2021-09-09 19:12:45.541773 : Epoch  6, Batch   3687, Loss  0.867904, Average Loss  0.868618, Time  0.394084
2021-09-09 19:12:47.425833 : Epoch  6, Batch   3688, Loss  0.873789, Average Loss  0.868629, Time  0.463322
2021-09-09 19:12:49.213772 : Epoch  6, Batch   3689, Loss  0.902096, Average Loss  0.868742, Time  0.355161
2021-09-09 19:12:51.009836 : Epoch  6, Batch   3690, Loss  0.845621, Average Loss  0.868490, Time  0.357625
2021-09-09 19:12:52.812778 : Epoch  6, Batch   3691, Loss  0.849651, Average Loss  0.868341, Time  0.368464
2021-09-09 19:12:54.698773 : Epoch  6, Batch   3692, Loss  0.911489, Average Loss  0.868460, Time  0.451252
2021-09-09 19:12:56.476118 : Epoch  6, Batch   3693, Loss  0.859342, Average Loss  0.868475, Time  0.348553
2021-09-09 19:12:58.252789 : Epoch  6, Batch   3694, Loss  0.874229, Average Loss  0.868569, Time  0.372384
2021-09-09 19:13:00.027775 : Epoch  6, Batch   3695, Loss  0.862992, Average Loss  0.868624, Time  0.362710
2021-09-09 19:13:01.913765 : Epoch  6, Batch   3696, Loss  0.878710, Average Loss  0.868736, Time  0.457332
2021-09-09 19:13:03.693774 : Epoch  6, Batch   3697, Loss  0.856230, Average Loss  0.868638, Time  0.351398
2021-09-09 19:13:05.466106 : Epoch  6, Batch   3698, Loss  0.899610, Average Loss  0.868903, Time  0.359333
2021-09-09 19:13:07.238784 : Epoch  6, Batch   3699, Loss  0.875312, Average Loss  0.868934, Time  0.361550
2021-09-09 19:13:09.124856 : Epoch  6, Batch   3700, Loss  0.877354, Average Loss  0.868907, Time  0.449411
2021-09-09 19:13:10.965211 : Epoch  6, Batch   3701, Loss  0.821953, Average Loss  0.868522, Time  0.408442
2021-09-09 19:13:12.741781 : Epoch  6, Batch   3702, Loss  0.892758, Average Loss  0.868629, Time  0.356792
2021-09-09 19:13:14.536796 : Epoch  6, Batch   3703, Loss  0.885809, Average Loss  0.868796, Time  0.366138
2021-09-09 19:13:16.395780 : Epoch  6, Batch   3704, Loss  0.881271, Average Loss  0.869067, Time  0.452897
2021-09-09 19:13:18.264614 : Epoch  6, Batch   3705, Loss  0.876460, Average Loss  0.868988, Time  0.454100
2021-09-09 19:13:20.029117 : Epoch  6, Batch   3706, Loss  0.837878, Average Loss  0.868936, Time  0.364158
2021-09-09 19:13:21.836771 : Epoch  6, Batch   3707, Loss  0.863161, Average Loss  0.868915, Time  0.355727
2021-09-09 19:13:23.660795 : Epoch  6, Batch   3708, Loss  0.870908, Average Loss  0.868738, Time  0.390203
2021-09-09 19:13:25.549269 : Epoch  6, Batch   3709, Loss  0.847845, Average Loss  0.868583, Time  0.460074
2021-09-09 19:13:27.324021 : Epoch  6, Batch   3710, Loss  0.861716, Average Loss  0.868621, Time  0.349340
2021-09-09 19:13:29.120114 : Epoch  6, Batch   3711, Loss  0.890106, Average Loss  0.868673, Time  0.366335
2021-09-09 19:13:29.208632 : Saving Model after 6-th Epoch.
2021-09-09 19:13:32.316670 : Epoch Finished.
2021-09-09 19:13:37.901676 : Batch Shuffled
2021-09-09 19:13:39.719774 : Epoch  7, Batch      1, Loss  0.863328, Average Loss  0.868716, Time  0.368171
2021-09-09 19:13:41.599777 : Epoch  7, Batch      2, Loss  0.911890, Average Loss  0.869092, Time  0.452805
2021-09-09 19:13:43.463783 : Epoch  7, Batch      3, Loss  0.832100, Average Loss  0.868934, Time  0.447001
2021-09-09 19:13:45.231773 : Epoch  7, Batch      4, Loss  0.859835, Average Loss  0.868889, Time  0.358689
2021-09-09 19:13:47.029775 : Epoch  7, Batch      5, Loss  0.875900, Average Loss  0.868821, Time  0.356110
2021-09-09 19:13:48.844338 : Epoch  7, Batch      6, Loss  0.865274, Average Loss  0.868882, Time  0.403703
2021-09-09 19:13:50.720781 : Epoch  7, Batch      7, Loss  0.874345, Average Loss  0.868871, Time  0.454196
2021-09-09 19:13:52.512920 : Epoch  7, Batch      8, Loss  0.844211, Average Loss  0.868714, Time  0.366414
2021-09-09 19:13:54.292764 : Epoch  7, Batch      9, Loss  0.851465, Average Loss  0.868575, Time  0.370015
2021-09-09 19:13:56.102551 : Epoch  7, Batch     10, Loss  0.844573, Average Loss  0.868359, Time  0.383935
2021-09-09 19:13:57.964772 : Epoch  7, Batch     11, Loss  0.851949, Average Loss  0.868200, Time  0.452288
2021-09-09 19:13:59.739737 : Epoch  7, Batch     12, Loss  0.856752, Average Loss  0.868166, Time  0.354930
2021-09-09 19:14:01.508055 : Epoch  7, Batch     13, Loss  0.868563, Average Loss  0.868131, Time  0.362453
2021-09-09 19:14:03.319765 : Epoch  7, Batch     14, Loss  0.898421, Average Loss  0.868105, Time  0.390697
2021-09-09 19:14:05.217844 : Epoch  7, Batch     15, Loss  0.902880, Average Loss  0.868260, Time  0.470391
2021-09-09 19:14:07.078107 : Epoch  7, Batch     16, Loss  0.904287, Average Loss  0.868532, Time  0.399522
2021-09-09 19:14:08.859811 : Epoch  7, Batch     17, Loss  0.887920, Average Loss  0.868475, Time  0.365183
2021-09-09 19:14:10.625143 : Epoch  7, Batch     18, Loss  0.864768, Average Loss  0.868475, Time  0.360089
2021-09-09 19:14:12.501768 : Epoch  7, Batch     19, Loss  0.847985, Average Loss  0.868349, Time  0.459667
2021-09-09 19:14:14.377841 : Epoch  7, Batch     20, Loss  0.857210, Average Loss  0.868231, Time  0.459444
2021-09-09 19:14:16.140798 : Epoch  7, Batch     21, Loss  0.837940, Average Loss  0.868234, Time  0.358858
2021-09-09 19:14:17.907927 : Epoch  7, Batch     22, Loss  0.864661, Average Loss  0.868311, Time  0.363020
2021-09-09 19:14:19.710232 : Epoch  7, Batch     23, Loss  0.850349, Average Loss  0.868220, Time  0.395632
2021-09-09 19:14:21.569050 : Epoch  7, Batch     24, Loss  0.911924, Average Loss  0.868486, Time  0.456451
2021-09-09 19:14:23.345776 : Epoch  7, Batch     25, Loss  0.876525, Average Loss  0.868578, Time  0.367318
2021-09-09 19:14:25.124908 : Epoch  7, Batch     26, Loss  0.849742, Average Loss  0.868472, Time  0.356905
2021-09-09 19:14:26.918778 : Epoch  7, Batch     27, Loss  0.849945, Average Loss  0.868421, Time  0.392969
2021-09-09 19:14:28.786512 : Epoch  7, Batch     28, Loss  0.842760, Average Loss  0.868320, Time  0.464839
2021-09-09 19:14:30.567822 : Epoch  7, Batch     29, Loss  0.851302, Average Loss  0.868349, Time  0.359008
2021-09-09 19:14:32.417235 : Epoch  7, Batch     30, Loss  0.859394, Average Loss  0.868391, Time  0.356508
2021-09-09 19:14:34.242763 : Epoch  7, Batch     31, Loss  0.873357, Average Loss  0.868407, Time  0.399042
2021-09-09 19:14:36.135888 : Epoch  7, Batch     32, Loss  0.855213, Average Loss  0.868334, Time  0.464268
2021-09-09 19:14:37.934774 : Epoch  7, Batch     33, Loss  0.881431, Average Loss  0.868443, Time  0.357184
2021-09-09 19:14:39.733781 : Epoch  7, Batch     34, Loss  0.885295, Average Loss  0.868508, Time  0.359900
2021-09-09 19:19:30.120945 : CheckPoint: Validation Loss  0.00061170, Best Loss  0.00056427
2021-09-09 19:19:31.902986 : Epoch  7, Batch     35, Loss  0.863614, Average Loss  0.868313, Time  0.358553
2021-09-09 19:19:33.759782 : Epoch  7, Batch     36, Loss  0.835442, Average Loss  0.868105, Time  0.434821
2021-09-09 19:19:35.627497 : Epoch  7, Batch     37, Loss  0.891530, Average Loss  0.868349, Time  0.456525
2021-09-09 19:19:37.412765 : Epoch  7, Batch     38, Loss  0.867153, Average Loss  0.868252, Time  0.356368
2021-09-09 19:19:39.203808 : Epoch  7, Batch     39, Loss  0.849849, Average Loss  0.868118, Time  0.361019
2021-09-09 19:19:41.056996 : Epoch  7, Batch     40, Loss  0.887766, Average Loss  0.868095, Time  0.403130
2021-09-09 19:19:42.932813 : Epoch  7, Batch     41, Loss  0.851901, Average Loss  0.867972, Time  0.469281
2021-09-09 19:19:44.706350 : Epoch  7, Batch     42, Loss  0.856692, Average Loss  0.867840, Time  0.355021
2021-09-09 19:19:46.471777 : Epoch  7, Batch     43, Loss  0.875337, Average Loss  0.867977, Time  0.361930
2021-09-09 19:19:48.307111 : Epoch  7, Batch     44, Loss  0.894099, Average Loss  0.867948, Time  0.424554
2021-09-09 19:19:50.200780 : Epoch  7, Batch     45, Loss  0.879379, Average Loss  0.868273, Time  0.453490
2021-09-09 19:19:51.985104 : Epoch  7, Batch     46, Loss  0.861815, Average Loss  0.867940, Time  0.358738
2021-09-09 19:19:53.746095 : Epoch  7, Batch     47, Loss  0.830413, Average Loss  0.867678, Time  0.361140
2021-09-09 19:19:55.600091 : Epoch  7, Batch     48, Loss  0.858111, Average Loss  0.867683, Time  0.425526
2021-09-09 19:19:57.402093 : Epoch  7, Batch     49, Loss  0.912364, Average Loss  0.867972, Time  0.369904
2021-09-09 19:19:59.183027 : Epoch  7, Batch     50, Loss  0.869079, Average Loss  0.868036, Time  0.363178
2021-09-09 19:20:01.020818 : Epoch  7, Batch     51, Loss  0.872075, Average Loss  0.868094, Time  0.415589
2021-09-09 19:20:02.925774 : Epoch  7, Batch     52, Loss  0.891958, Average Loss  0.868283, Time  0.464310
2021-09-09 19:20:04.716890 : Epoch  7, Batch     53, Loss  0.858667, Average Loss  0.868429, Time  0.358762
2021-09-09 19:20:06.488767 : Epoch  7, Batch     54, Loss  0.915750, Average Loss  0.868525, Time  0.358303
2021-09-09 19:20:08.312909 : Epoch  7, Batch     55, Loss  0.872895, Average Loss  0.868474, Time  0.382780
2021-09-09 19:20:10.092124 : Epoch  7, Batch     56, Loss  0.881117, Average Loss  0.868473, Time  0.361156
2021-09-09 19:20:11.894171 : Epoch  7, Batch     57, Loss  0.854156, Average Loss  0.868400, Time  0.379650
2021-09-09 19:20:13.661779 : Epoch  7, Batch     58, Loss  0.865296, Average Loss  0.868329, Time  0.366513
2021-09-09 19:20:15.444736 : Epoch  7, Batch     59, Loss  0.846824, Average Loss  0.868225, Time  0.377418
2021-09-09 19:20:17.230777 : Epoch  7, Batch     60, Loss  0.845104, Average Loss  0.868153, Time  0.360424
2021-09-09 19:20:19.032777 : Epoch  7, Batch     61, Loss  0.843271, Average Loss  0.867901, Time  0.386801
2021-09-09 19:20:20.829035 : Epoch  7, Batch     62, Loss  0.862392, Average Loss  0.867884, Time  0.358922
2021-09-09 19:20:22.603619 : Epoch  7, Batch     63, Loss  0.862574, Average Loss  0.867855, Time  0.366461
2021-09-09 19:20:24.427781 : Epoch  7, Batch     64, Loss  0.860905, Average Loss  0.867774, Time  0.365405
2021-09-09 19:20:26.221800 : Epoch  7, Batch     65, Loss  0.866537, Average Loss  0.867715, Time  0.374897
2021-09-09 19:20:28.012783 : Epoch  7, Batch     66, Loss  0.855069, Average Loss  0.867773, Time  0.360240
2021-09-09 19:20:29.817818 : Epoch  7, Batch     67, Loss  0.894274, Average Loss  0.867933, Time  0.368526
2021-09-09 19:20:31.596808 : Epoch  7, Batch     68, Loss  0.843740, Average Loss  0.867692, Time  0.359677
2021-09-09 19:20:33.399833 : Epoch  7, Batch     69, Loss  0.871112, Average Loss  0.867583, Time  0.375544
2021-09-09 19:20:35.162786 : Epoch  7, Batch     70, Loss  0.873079, Average Loss  0.867623, Time  0.358124
2021-09-09 19:20:36.968930 : Epoch  7, Batch     71, Loss  0.868780, Average Loss  0.867776, Time  0.375896
2021-09-09 19:20:38.760776 : Epoch  7, Batch     72, Loss  0.875789, Average Loss  0.867825, Time  0.358578
2021-09-09 19:20:40.565101 : Epoch  7, Batch     73, Loss  0.864618, Average Loss  0.867845, Time  0.373097
2021-09-09 19:20:42.348774 : Epoch  7, Batch     74, Loss  0.820145, Average Loss  0.867479, Time  0.366066
2021-09-09 19:20:44.163769 : Epoch  7, Batch     75, Loss  0.870563, Average Loss  0.867422, Time  0.364845
2021-09-09 19:20:45.941815 : Epoch  7, Batch     76, Loss  0.849333, Average Loss  0.867252, Time  0.362122
2021-09-09 19:20:47.739236 : Epoch  7, Batch     77, Loss  0.896573, Average Loss  0.867225, Time  0.368822
2021-09-09 19:20:49.536798 : Epoch  7, Batch     78, Loss  0.856982, Average Loss  0.867145, Time  0.373770
2021-09-09 19:20:51.309873 : Epoch  7, Batch     79, Loss  0.875090, Average Loss  0.867118, Time  0.370459
2021-09-09 19:20:53.091770 : Epoch  7, Batch     80, Loss  0.872351, Average Loss  0.867160, Time  0.358563
2021-09-09 19:20:54.881842 : Epoch  7, Batch     81, Loss  0.863558, Average Loss  0.867157, Time  0.390014
2021-09-09 19:20:56.643803 : Epoch  7, Batch     82, Loss  0.869775, Average Loss  0.867038, Time  0.358036
2021-09-09 19:20:58.434099 : Epoch  7, Batch     83, Loss  0.848500, Average Loss  0.866956, Time  0.373977
2021-09-09 19:21:00.213774 : Epoch  7, Batch     84, Loss  0.869630, Average Loss  0.866894, Time  0.364352
2021-09-09 19:21:02.009796 : Epoch  7, Batch     85, Loss  0.849872, Average Loss  0.866791, Time  0.371898
2021-09-09 19:21:03.802767 : Epoch  7, Batch     86, Loss  0.823170, Average Loss  0.866652, Time  0.359331
2021-09-09 19:21:05.599099 : Epoch  7, Batch     87, Loss  0.867288, Average Loss  0.866692, Time  0.373314
2021-09-09 19:21:07.403769 : Epoch  7, Batch     88, Loss  0.846891, Average Loss  0.866531, Time  0.375354
2021-09-09 19:21:09.182504 : Epoch  7, Batch     89, Loss  0.875577, Average Loss  0.866518, Time  0.373486
2021-09-09 19:21:10.963774 : Epoch  7, Batch     90, Loss  0.853891, Average Loss  0.866439, Time  0.358139
2021-09-09 19:21:12.761767 : Epoch  7, Batch     91, Loss  0.847881, Average Loss  0.866326, Time  0.368296
2021-09-09 19:21:14.546831 : Epoch  7, Batch     92, Loss  0.871112, Average Loss  0.866421, Time  0.357993
2021-09-09 19:21:16.351782 : Epoch  7, Batch     93, Loss  0.867512, Average Loss  0.866368, Time  0.366799
2021-09-09 19:21:18.145796 : Epoch  7, Batch     94, Loss  0.864782, Average Loss  0.866249, Time  0.358763
2021-09-09 19:21:19.937780 : Epoch  7, Batch     95, Loss  0.852750, Average Loss  0.866229, Time  0.373156
2021-09-09 19:21:21.727775 : Epoch  7, Batch     96, Loss  0.859229, Average Loss  0.866198, Time  0.364378
2021-09-09 19:21:23.517096 : Epoch  7, Batch     97, Loss  0.861214, Average Loss  0.865988, Time  0.366529
2021-09-09 19:21:25.290764 : Epoch  7, Batch     98, Loss  0.922747, Average Loss  0.866308, Time  0.356738
2021-09-09 19:21:27.080024 : Epoch  7, Batch     99, Loss  0.874846, Average Loss  0.866383, Time  0.381060
2021-09-09 19:21:28.858819 : Epoch  7, Batch    100, Loss  0.887529, Average Loss  0.866532, Time  0.358006
2021-09-09 19:21:30.674842 : Epoch  7, Batch    101, Loss  0.864705, Average Loss  0.866512, Time  0.379373
2021-09-09 19:21:32.481821 : Epoch  7, Batch    102, Loss  0.843736, Average Loss  0.866372, Time  0.359120
2021-09-09 19:21:34.287767 : Epoch  7, Batch    103, Loss  0.857727, Average Loss  0.866387, Time  0.361106
2021-09-09 19:21:36.058779 : Epoch  7, Batch    104, Loss  0.878405, Average Loss  0.866542, Time  0.357987
2021-09-09 19:21:37.851406 : Epoch  7, Batch    105, Loss  0.885323, Average Loss  0.866471, Time  0.380029
2021-09-09 19:21:39.624817 : Epoch  7, Batch    106, Loss  0.849380, Average Loss  0.866441, Time  0.358400
2021-09-09 19:21:41.412843 : Epoch  7, Batch    107, Loss  0.879184, Average Loss  0.866602, Time  0.368519
2021-09-09 19:21:43.201801 : Epoch  7, Batch    108, Loss  0.905298, Average Loss  0.866916, Time  0.378952
2021-09-09 19:21:44.988865 : Epoch  7, Batch    109, Loss  0.831193, Average Loss  0.866882, Time  0.376356
2021-09-09 19:21:46.754143 : Epoch  7, Batch    110, Loss  0.817137, Average Loss  0.866585, Time  0.360504
2021-09-09 19:21:48.569968 : Epoch  7, Batch    111, Loss  0.853387, Average Loss  0.866475, Time  0.368538
2021-09-09 19:21:50.354800 : Epoch  7, Batch    112, Loss  0.879828, Average Loss  0.866556, Time  0.363381
2021-09-09 19:21:52.138208 : Epoch  7, Batch    113, Loss  0.911334, Average Loss  0.866805, Time  0.373657
2021-09-09 19:21:53.911776 : Epoch  7, Batch    114, Loss  0.880571, Average Loss  0.866714, Time  0.357418
2021-09-09 19:21:55.723119 : Epoch  7, Batch    115, Loss  0.853486, Average Loss  0.866603, Time  0.374423
2021-09-09 19:21:57.507761 : Epoch  7, Batch    116, Loss  0.879243, Average Loss  0.866733, Time  0.357266
2021-09-09 19:21:59.295926 : Epoch  7, Batch    117, Loss  0.867352, Average Loss  0.866919, Time  0.369515
2021-09-09 19:22:01.075774 : Epoch  7, Batch    118, Loss  0.885687, Average Loss  0.866977, Time  0.367170
2021-09-09 19:22:02.863929 : Epoch  7, Batch    119, Loss  0.869788, Average Loss  0.866823, Time  0.366233
2021-09-09 19:22:04.651772 : Epoch  7, Batch    120, Loss  0.863567, Average Loss  0.866858, Time  0.361291
2021-09-09 19:22:06.442796 : Epoch  7, Batch    121, Loss  0.874174, Average Loss  0.867020, Time  0.364043
2021-09-09 19:22:08.309590 : Epoch  7, Batch    122, Loss  0.893665, Average Loss  0.867142, Time  0.448609
2021-09-09 19:22:10.099815 : Epoch  7, Batch    123, Loss  0.893759, Average Loss  0.867226, Time  0.363033
2021-09-09 19:22:11.915092 : Epoch  7, Batch    124, Loss  0.875226, Average Loss  0.867326, Time  0.380939
2021-09-09 19:22:13.720778 : Epoch  7, Batch    125, Loss  0.880705, Average Loss  0.867405, Time  0.357914
2021-09-09 19:22:15.530003 : Epoch  7, Batch    126, Loss  0.866013, Average Loss  0.867578, Time  0.359531
2021-09-09 19:22:17.380913 : Epoch  7, Batch    127, Loss  0.874922, Average Loss  0.867411, Time  0.415936
2021-09-09 19:22:19.161577 : Epoch  7, Batch    128, Loss  0.834383, Average Loss  0.867254, Time  0.367193
2021-09-09 19:22:21.012780 : Epoch  7, Batch    129, Loss  0.867622, Average Loss  0.867112, Time  0.433458
2021-09-09 19:22:22.794120 : Epoch  7, Batch    130, Loss  0.861636, Average Loss  0.867179, Time  0.357411
2021-09-09 19:22:24.575763 : Epoch  7, Batch    131, Loss  0.859364, Average Loss  0.867221, Time  0.357278
2021-09-09 19:22:26.353111 : Epoch  7, Batch    132, Loss  0.872861, Average Loss  0.867195, Time  0.360783
2021-09-09 19:22:28.155112 : Epoch  7, Batch    133, Loss  0.885999, Average Loss  0.867322, Time  0.373334
2021-09-09 19:22:29.947102 : Epoch  7, Batch    134, Loss  0.883404, Average Loss  0.867252, Time  0.371263
2021-09-09 19:27:20.486731 : CheckPoint: Validation Loss  0.00062179, Best Loss  0.00056427
2021-09-09 19:27:22.309770 : Epoch  7, Batch    135, Loss  0.877513, Average Loss  0.867299, Time  0.404700
2021-09-09 19:27:24.078078 : Epoch  7, Batch    136, Loss  0.880730, Average Loss  0.867362, Time  0.356628
2021-09-09 19:27:25.861777 : Epoch  7, Batch    137, Loss  0.859360, Average Loss  0.867395, Time  0.356091
2021-09-09 19:27:27.728765 : Epoch  7, Batch    138, Loss  0.872994, Average Loss  0.867449, Time  0.447857
2021-09-09 19:27:29.615801 : Epoch  7, Batch    139, Loss  0.874447, Average Loss  0.867524, Time  0.451947
2021-09-09 19:27:31.393116 : Epoch  7, Batch    140, Loss  0.865776, Average Loss  0.867430, Time  0.355630
2021-09-09 19:27:33.169773 : Epoch  7, Batch    141, Loss  0.842898, Average Loss  0.867416, Time  0.360021
2021-09-09 19:27:34.995780 : Epoch  7, Batch    142, Loss  0.887731, Average Loss  0.867573, Time  0.392865
2021-09-09 19:27:36.888771 : Epoch  7, Batch    143, Loss  0.877576, Average Loss  0.867737, Time  0.465430
2021-09-09 19:27:38.669682 : Epoch  7, Batch    144, Loss  0.855731, Average Loss  0.867944, Time  0.364747
2021-09-09 19:27:40.434295 : Epoch  7, Batch    145, Loss  0.867465, Average Loss  0.867969, Time  0.357723
2021-09-09 19:27:42.225778 : Epoch  7, Batch    146, Loss  0.862006, Average Loss  0.867825, Time  0.381240
2021-09-09 19:27:44.115411 : Epoch  7, Batch    147, Loss  0.851697, Average Loss  0.867673, Time  0.459641
2021-09-09 19:27:45.882353 : Epoch  7, Batch    148, Loss  0.884452, Average Loss  0.867832, Time  0.361608
2021-09-09 19:27:47.662779 : Epoch  7, Batch    149, Loss  0.873929, Average Loss  0.867915, Time  0.356763
2021-09-09 19:27:49.474918 : Epoch  7, Batch    150, Loss  0.859679, Average Loss  0.867951, Time  0.374678
2021-09-09 19:27:51.361772 : Epoch  7, Batch    151, Loss  0.888754, Average Loss  0.868131, Time  0.466807
2021-09-09 19:27:53.137775 : Epoch  7, Batch    152, Loss  0.885650, Average Loss  0.868165, Time  0.358880
2021-09-09 19:27:54.930813 : Epoch  7, Batch    153, Loss  0.876700, Average Loss  0.868162, Time  0.357832
2021-09-09 19:27:56.733763 : Epoch  7, Batch    154, Loss  0.853622, Average Loss  0.868134, Time  0.382128
2021-09-09 19:27:58.627775 : Epoch  7, Batch    155, Loss  0.860036, Average Loss  0.868004, Time  0.456901
2021-09-09 19:28:00.412963 : Epoch  7, Batch    156, Loss  0.862629, Average Loss  0.867960, Time  0.346749
2021-09-09 19:28:02.197228 : Epoch  7, Batch    157, Loss  0.837879, Average Loss  0.867772, Time  0.367827
2021-09-09 19:28:03.989774 : Epoch  7, Batch    158, Loss  0.883855, Average Loss  0.867843, Time  0.355910
2021-09-09 19:28:05.859374 : Epoch  7, Batch    159, Loss  0.875911, Average Loss  0.867853, Time  0.457490
2021-09-09 19:28:07.657774 : Epoch  7, Batch    160, Loss  0.851499, Average Loss  0.867638, Time  0.379226
2021-09-09 19:28:09.452977 : Epoch  7, Batch    161, Loss  0.845403, Average Loss  0.867406, Time  0.363878
2021-09-09 19:28:11.235793 : Epoch  7, Batch    162, Loss  0.842626, Average Loss  0.867312, Time  0.360200
2021-09-09 19:28:13.103785 : Epoch  7, Batch    163, Loss  0.862194, Average Loss  0.867238, Time  0.468216
2021-09-09 19:28:14.993775 : Epoch  7, Batch    164, Loss  0.863071, Average Loss  0.867233, Time  0.464959
2021-09-09 19:28:16.789781 : Epoch  7, Batch    165, Loss  0.856943, Average Loss  0.867319, Time  0.357702
2021-09-09 19:28:18.605768 : Epoch  7, Batch    166, Loss  0.848107, Average Loss  0.867296, Time  0.362395
2021-09-09 19:28:20.431762 : Epoch  7, Batch    167, Loss  0.864738, Average Loss  0.867217, Time  0.388626
2021-09-09 19:28:22.350774 : Epoch  7, Batch    168, Loss  0.855771, Average Loss  0.867207, Time  0.456013
2021-09-09 19:28:24.197580 : Epoch  7, Batch    169, Loss  0.878244, Average Loss  0.867254, Time  0.410549
2021-09-09 19:28:25.991095 : Epoch  7, Batch    170, Loss  0.829916, Average Loss  0.867100, Time  0.358384
2021-09-09 19:28:27.788761 : Epoch  7, Batch    171, Loss  0.833790, Average Loss  0.867032, Time  0.360536
2021-09-09 19:28:29.638777 : Epoch  7, Batch    172, Loss  0.866361, Average Loss  0.867086, Time  0.441845
2021-09-09 19:28:31.518763 : Epoch  7, Batch    173, Loss  0.845759, Average Loss  0.866960, Time  0.452241
2021-09-09 19:28:33.325776 : Epoch  7, Batch    174, Loss  0.880953, Average Loss  0.866954, Time  0.356384
2021-09-09 19:28:35.120777 : Epoch  7, Batch    175, Loss  0.889885, Average Loss  0.866907, Time  0.357747
2021-09-09 19:28:36.918109 : Epoch  7, Batch    176, Loss  0.863599, Average Loss  0.866885, Time  0.380477
2021-09-09 19:28:38.788764 : Epoch  7, Batch    177, Loss  0.867053, Average Loss  0.866852, Time  0.450310
2021-09-09 19:28:40.563773 : Epoch  7, Batch    178, Loss  0.839960, Average Loss  0.866541, Time  0.358382
2021-09-09 19:28:42.337322 : Epoch  7, Batch    179, Loss  0.876857, Average Loss  0.866697, Time  0.357145
2021-09-09 19:28:44.150780 : Epoch  7, Batch    180, Loss  0.878970, Average Loss  0.866844, Time  0.391336
2021-09-09 19:28:46.028765 : Epoch  7, Batch    181, Loss  0.870883, Average Loss  0.866641, Time  0.455889
2021-09-09 19:28:47.822772 : Epoch  7, Batch    182, Loss  0.873002, Average Loss  0.866709, Time  0.365115
2021-09-09 19:28:49.619132 : Epoch  7, Batch    183, Loss  0.865272, Average Loss  0.866664, Time  0.357650
2021-09-09 19:28:51.436818 : Epoch  7, Batch    184, Loss  0.862162, Average Loss  0.866660, Time  0.368904
2021-09-09 19:28:53.339772 : Epoch  7, Batch    185, Loss  0.864106, Average Loss  0.866587, Time  0.452362
2021-09-09 19:28:55.130795 : Epoch  7, Batch    186, Loss  0.867194, Average Loss  0.866642, Time  0.356445
2021-09-09 19:28:56.929232 : Epoch  7, Batch    187, Loss  0.894685, Average Loss  0.866617, Time  0.366597
2021-09-09 19:28:58.714941 : Epoch  7, Batch    188, Loss  0.863639, Average Loss  0.866559, Time  0.366933
2021-09-09 19:29:00.592975 : Epoch  7, Batch    189, Loss  0.889357, Average Loss  0.866619, Time  0.452403
2021-09-09 19:29:02.356705 : Epoch  7, Batch    190, Loss  0.846735, Average Loss  0.866743, Time  0.363464
2021-09-09 19:29:04.127773 : Epoch  7, Batch    191, Loss  0.845502, Average Loss  0.866506, Time  0.356550
2021-09-09 19:29:05.964778 : Epoch  7, Batch    192, Loss  0.851877, Average Loss  0.866337, Time  0.379995
2021-09-09 19:29:07.870772 : Epoch  7, Batch    193, Loss  0.879297, Average Loss  0.866327, Time  0.452023
2021-09-09 19:29:09.713771 : Epoch  7, Batch    194, Loss  0.837222, Average Loss  0.866131, Time  0.409132
2021-09-09 19:29:11.477777 : Epoch  7, Batch    195, Loss  0.898198, Average Loss  0.866432, Time  0.357813
2021-09-09 19:29:13.281808 : Epoch  7, Batch    196, Loss  0.889631, Average Loss  0.866565, Time  0.372847
2021-09-09 19:29:15.180774 : Epoch  7, Batch    197, Loss  0.867308, Average Loss  0.866547, Time  0.437279
2021-09-09 19:29:17.073951 : Epoch  7, Batch    198, Loss  0.834883, Average Loss  0.866482, Time  0.463115
2021-09-09 19:29:18.886773 : Epoch  7, Batch    199, Loss  0.855563, Average Loss  0.866451, Time  0.367250
2021-09-09 19:29:20.673353 : Epoch  7, Batch    200, Loss  0.853028, Average Loss  0.866266, Time  0.376247
2021-09-09 19:29:22.522013 : Epoch  7, Batch    201, Loss  0.886075, Average Loss  0.866379, Time  0.369502
2021-09-09 19:29:24.419776 : Epoch  7, Batch    202, Loss  0.860199, Average Loss  0.866121, Time  0.452815
2021-09-09 19:29:26.294988 : Epoch  7, Batch    203, Loss  0.829809, Average Loss  0.866110, Time  0.426571
2021-09-09 19:29:28.111456 : Epoch  7, Batch    204, Loss  0.833121, Average Loss  0.865976, Time  0.376958
2021-09-09 19:29:29.880079 : Epoch  7, Batch    205, Loss  0.857057, Average Loss  0.865882, Time  0.355293
2021-09-09 19:29:31.749761 : Epoch  7, Batch    206, Loss  0.879515, Average Loss  0.865953, Time  0.411184
2021-09-09 19:29:33.644080 : Epoch  7, Batch    207, Loss  0.883259, Average Loss  0.865997, Time  0.452553
2021-09-09 19:29:35.442774 : Epoch  7, Batch    208, Loss  0.844540, Average Loss  0.865999, Time  0.359641
2021-09-09 19:29:37.240776 : Epoch  7, Batch    209, Loss  0.860491, Average Loss  0.866044, Time  0.357610
2021-09-09 19:29:39.048830 : Epoch  7, Batch    210, Loss  0.876524, Average Loss  0.866204, Time  0.367065
2021-09-09 19:29:40.954764 : Epoch  7, Batch    211, Loss  0.834984, Average Loss  0.866119, Time  0.451465
2021-09-09 19:29:42.764096 : Epoch  7, Batch    212, Loss  0.887590, Average Loss  0.866273, Time  0.380257
2021-09-09 19:29:44.565097 : Epoch  7, Batch    213, Loss  0.860141, Average Loss  0.866231, Time  0.358014
2021-09-09 19:29:46.363877 : Epoch  7, Batch    214, Loss  0.845237, Average Loss  0.865965, Time  0.363882
2021-09-09 19:29:48.257294 : Epoch  7, Batch    215, Loss  0.882392, Average Loss  0.865863, Time  0.450758
2021-09-09 19:29:50.140761 : Epoch  7, Batch    216, Loss  0.898694, Average Loss  0.865835, Time  0.449901
2021-09-09 19:29:51.923781 : Epoch  7, Batch    217, Loss  0.865359, Average Loss  0.865722, Time  0.359876
2021-09-09 19:29:53.750772 : Epoch  7, Batch    218, Loss  0.833943, Average Loss  0.865568, Time  0.365202
2021-09-09 19:29:55.569984 : Epoch  7, Batch    219, Loss  0.860392, Average Loss  0.865630, Time  0.393273
2021-09-09 19:29:57.448762 : Epoch  7, Batch    220, Loss  0.863217, Average Loss  0.865660, Time  0.452889
2021-09-09 19:29:59.223811 : Epoch  7, Batch    221, Loss  0.868566, Average Loss  0.865813, Time  0.356951
2021-09-09 19:30:01.023804 : Epoch  7, Batch    222, Loss  0.893208, Average Loss  0.865956, Time  0.364150
2021-09-09 19:30:02.834775 : Epoch  7, Batch    223, Loss  0.863180, Average Loss  0.866020, Time  0.375967
2021-09-09 19:30:04.719777 : Epoch  7, Batch    224, Loss  0.873866, Average Loss  0.865830, Time  0.463982
2021-09-09 19:30:06.553766 : Epoch  7, Batch    225, Loss  0.879286, Average Loss  0.865844, Time  0.372741
2021-09-09 19:30:08.360779 : Epoch  7, Batch    226, Loss  0.877500, Average Loss  0.865982, Time  0.366468
2021-09-09 19:30:10.167940 : Epoch  7, Batch    227, Loss  0.889310, Average Loss  0.866179, Time  0.357427
2021-09-09 19:30:12.055817 : Epoch  7, Batch    228, Loss  0.848051, Average Loss  0.866206, Time  0.451179
2021-09-09 19:30:13.935762 : Epoch  7, Batch    229, Loss  0.867290, Average Loss  0.866286, Time  0.448230
2021-09-09 19:30:15.714765 : Epoch  7, Batch    230, Loss  0.885789, Average Loss  0.866418, Time  0.360945
2021-09-09 19:30:17.515113 : Epoch  7, Batch    231, Loss  0.882975, Average Loss  0.866466, Time  0.365650
2021-09-09 19:30:19.343773 : Epoch  7, Batch    232, Loss  0.889643, Average Loss  0.866638, Time  0.398453
2021-09-09 19:30:21.200781 : Epoch  7, Batch    233, Loss  0.880467, Average Loss  0.866633, Time  0.452825
2021-09-09 19:30:22.994814 : Epoch  7, Batch    234, Loss  0.874711, Average Loss  0.866580, Time  0.358044
2021-09-09 19:35:13.103756 : CheckPoint: Validation Loss  0.00060356, Best Loss  0.00056427
2021-09-09 19:35:14.886776 : Epoch  7, Batch    235, Loss  0.856030, Average Loss  0.866542, Time  0.358438
2021-09-09 19:35:16.675775 : Epoch  7, Batch    236, Loss  0.880171, Average Loss  0.866766, Time  0.356941
2021-09-09 19:35:18.528901 : Epoch  7, Batch    237, Loss  0.861922, Average Loss  0.866618, Time  0.398106
2021-09-09 19:35:20.437168 : Epoch  7, Batch    238, Loss  0.860521, Average Loss  0.866585, Time  0.462111
2021-09-09 19:35:22.273776 : Epoch  7, Batch    239, Loss  0.877864, Average Loss  0.866725, Time  0.405516
2021-09-09 19:35:24.090777 : Epoch  7, Batch    240, Loss  0.858371, Average Loss  0.866578, Time  0.375030
2021-09-09 19:35:25.896802 : Epoch  7, Batch    241, Loss  0.831776, Average Loss  0.866477, Time  0.355555
2021-09-09 19:35:27.754572 : Epoch  7, Batch    242, Loss  0.846786, Average Loss  0.866428, Time  0.432964
2021-09-09 19:35:29.662974 : Epoch  7, Batch    243, Loss  0.842043, Average Loss  0.866261, Time  0.450214
2021-09-09 19:35:31.462778 : Epoch  7, Batch    244, Loss  0.834359, Average Loss  0.865962, Time  0.352625
2021-09-09 19:35:33.233787 : Epoch  7, Batch    245, Loss  0.857428, Average Loss  0.865853, Time  0.365635
2021-09-09 19:35:35.041787 : Epoch  7, Batch    246, Loss  0.869573, Average Loss  0.865891, Time  0.365166
2021-09-09 19:35:36.903904 : Epoch  7, Batch    247, Loss  0.877322, Average Loss  0.866126, Time  0.452585
2021-09-09 19:35:38.704777 : Epoch  7, Batch    248, Loss  0.870563, Average Loss  0.866188, Time  0.362550
2021-09-09 19:35:40.526825 : Epoch  7, Batch    249, Loss  0.892739, Average Loss  0.866090, Time  0.371848
2021-09-09 19:35:42.369113 : Epoch  7, Batch    250, Loss  0.868368, Average Loss  0.866087, Time  0.408955
2021-09-09 19:35:44.250871 : Epoch  7, Batch    251, Loss  0.885250, Average Loss  0.866152, Time  0.453634
2021-09-09 19:35:46.050776 : Epoch  7, Batch    252, Loss  0.897115, Average Loss  0.866178, Time  0.364511
2021-09-09 19:35:47.856775 : Epoch  7, Batch    253, Loss  0.841524, Average Loss  0.866093, Time  0.357194
2021-09-09 19:35:49.729916 : Epoch  7, Batch    254, Loss  0.903971, Average Loss  0.866034, Time  0.453726
2021-09-09 19:35:51.511971 : Epoch  7, Batch    255, Loss  0.851612, Average Loss  0.865927, Time  0.359518
2021-09-09 19:35:53.343006 : Epoch  7, Batch    256, Loss  0.865003, Average Loss  0.865847, Time  0.386064
2021-09-09 19:35:55.123963 : Epoch  7, Batch    257, Loss  0.867092, Average Loss  0.865911, Time  0.358593
2021-09-09 19:35:56.890778 : Epoch  7, Batch    258, Loss  0.854414, Average Loss  0.865857, Time  0.356728
2021-09-09 19:35:58.680256 : Epoch  7, Batch    259, Loss  0.886098, Average Loss  0.866053, Time  0.357668
2021-09-09 19:36:00.477842 : Epoch  7, Batch    260, Loss  0.822797, Average Loss  0.865942, Time  0.360902
2021-09-09 19:36:02.362815 : Epoch  7, Batch    261, Loss  0.885544, Average Loss  0.866153, Time  0.466574
2021-09-09 19:36:04.167816 : Epoch  7, Batch    262, Loss  0.849573, Average Loss  0.866089, Time  0.356143
2021-09-09 19:36:05.969423 : Epoch  7, Batch    263, Loss  0.878324, Average Loss  0.866168, Time  0.368300
2021-09-09 19:36:07.753124 : Epoch  7, Batch    264, Loss  0.869313, Average Loss  0.866210, Time  0.375695
2021-09-09 19:36:09.537774 : Epoch  7, Batch    265, Loss  0.880909, Average Loss  0.866282, Time  0.365355
2021-09-09 19:36:11.316849 : Epoch  7, Batch    266, Loss  0.839718, Average Loss  0.866205, Time  0.370384
2021-09-09 19:36:13.109766 : Epoch  7, Batch    267, Loss  0.918468, Average Loss  0.866326, Time  0.361804
2021-09-09 19:36:14.967844 : Epoch  7, Batch    268, Loss  0.920004, Average Loss  0.866707, Time  0.445502
2021-09-09 19:36:16.747772 : Epoch  7, Batch    269, Loss  0.880652, Average Loss  0.866755, Time  0.362228
2021-09-09 19:36:18.561778 : Epoch  7, Batch    270, Loss  0.884584, Average Loss  0.866812, Time  0.402539
2021-09-09 19:36:20.332128 : Epoch  7, Batch    271, Loss  0.856544, Average Loss  0.866751, Time  0.364405
2021-09-09 19:36:22.092778 : Epoch  7, Batch    272, Loss  0.878395, Average Loss  0.866764, Time  0.359590
2021-09-09 19:36:23.883815 : Epoch  7, Batch    273, Loss  0.869458, Average Loss  0.866788, Time  0.364166
2021-09-09 19:36:25.667775 : Epoch  7, Batch    274, Loss  0.849347, Average Loss  0.866934, Time  0.368977
2021-09-09 19:36:27.522771 : Epoch  7, Batch    275, Loss  0.859303, Average Loss  0.866878, Time  0.404057
2021-09-09 19:36:29.287903 : Epoch  7, Batch    276, Loss  0.857361, Average Loss  0.866918, Time  0.362473
2021-09-09 19:36:31.128109 : Epoch  7, Batch    277, Loss  0.862495, Average Loss  0.866748, Time  0.422899
2021-09-09 19:36:32.910781 : Epoch  7, Batch    278, Loss  0.877181, Average Loss  0.866849, Time  0.358720
2021-09-09 19:36:34.759790 : Epoch  7, Batch    279, Loss  0.850284, Average Loss  0.866725, Time  0.416587
2021-09-09 19:36:36.536773 : Epoch  7, Batch    280, Loss  0.878777, Average Loss  0.866757, Time  0.356536
2021-09-09 19:36:38.374792 : Epoch  7, Batch    281, Loss  0.851546, Average Loss  0.866697, Time  0.417329
2021-09-09 19:36:40.142777 : Epoch  7, Batch    282, Loss  0.854642, Average Loss  0.866621, Time  0.363812
2021-09-09 19:36:42.002891 : Epoch  7, Batch    283, Loss  0.876622, Average Loss  0.866762, Time  0.417138
2021-09-09 19:36:43.774959 : Epoch  7, Batch    284, Loss  0.889566, Average Loss  0.866862, Time  0.361063
2021-09-09 19:36:45.590933 : Epoch  7, Batch    285, Loss  0.852451, Average Loss  0.866874, Time  0.390748
2021-09-09 19:36:47.401871 : Epoch  7, Batch    286, Loss  0.875010, Average Loss  0.867134, Time  0.372673
2021-09-09 19:36:49.204804 : Epoch  7, Batch    287, Loss  0.852610, Average Loss  0.867060, Time  0.372986
2021-09-09 19:36:50.971776 : Epoch  7, Batch    288, Loss  0.871102, Average Loss  0.867181, Time  0.357227
2021-09-09 19:36:52.745837 : Epoch  7, Batch    289, Loss  0.862059, Average Loss  0.867114, Time  0.372867
2021-09-09 19:36:54.547094 : Epoch  7, Batch    290, Loss  0.879453, Average Loss  0.867242, Time  0.358404
2021-09-09 19:36:56.342935 : Epoch  7, Batch    291, Loss  0.865032, Average Loss  0.867327, Time  0.373338
2021-09-09 19:36:58.124813 : Epoch  7, Batch    292, Loss  0.852200, Average Loss  0.867233, Time  0.358959
2021-09-09 19:36:59.937805 : Epoch  7, Batch    293, Loss  0.869869, Average Loss  0.867245, Time  0.382887
2021-09-09 19:37:01.711103 : Epoch  7, Batch    294, Loss  0.875696, Average Loss  0.867299, Time  0.363670
2021-09-09 19:37:03.518853 : Epoch  7, Batch    295, Loss  0.880701, Average Loss  0.867439, Time  0.383810
2021-09-09 19:37:05.282764 : Epoch  7, Batch    296, Loss  0.866914, Average Loss  0.867477, Time  0.358236
2021-09-09 19:37:07.090777 : Epoch  7, Batch    297, Loss  0.833294, Average Loss  0.867338, Time  0.373915
2021-09-09 19:37:08.883943 : Epoch  7, Batch    298, Loss  0.882910, Average Loss  0.867139, Time  0.376401
2021-09-09 19:37:10.665036 : Epoch  7, Batch    299, Loss  0.862008, Average Loss  0.867074, Time  0.365997
2021-09-09 19:37:12.462838 : Epoch  7, Batch    300, Loss  0.858593, Average Loss  0.866930, Time  0.358696
2021-09-09 19:37:14.266807 : Epoch  7, Batch    301, Loss  0.885785, Average Loss  0.867035, Time  0.367303
2021-09-09 19:37:16.039994 : Epoch  7, Batch    302, Loss  0.866449, Average Loss  0.867149, Time  0.360337
2021-09-09 19:37:17.865803 : Epoch  7, Batch    303, Loss  0.891310, Average Loss  0.867317, Time  0.369106
2021-09-09 19:37:19.669803 : Epoch  7, Batch    304, Loss  0.856112, Average Loss  0.867205, Time  0.358215
2021-09-09 19:37:21.477797 : Epoch  7, Batch    305, Loss  0.859369, Average Loss  0.867075, Time  0.362989
2021-09-09 19:37:23.280778 : Epoch  7, Batch    306, Loss  0.866965, Average Loss  0.867163, Time  0.358635
2021-09-09 19:37:25.081241 : Epoch  7, Batch    307, Loss  0.858574, Average Loss  0.867060, Time  0.365192
2021-09-09 19:37:26.868848 : Epoch  7, Batch    308, Loss  0.845979, Average Loss  0.866764, Time  0.365361
2021-09-09 19:37:28.662981 : Epoch  7, Batch    309, Loss  0.872292, Average Loss  0.866969, Time  0.367397
2021-09-09 19:37:30.447777 : Epoch  7, Batch    310, Loss  0.862603, Average Loss  0.867196, Time  0.359792
2021-09-09 19:37:32.265835 : Epoch  7, Batch    311, Loss  0.875166, Average Loss  0.867305, Time  0.365042
2021-09-09 19:37:34.076778 : Epoch  7, Batch    312, Loss  0.868468, Average Loss  0.867248, Time  0.358379
2021-09-09 19:37:35.892908 : Epoch  7, Batch    313, Loss  0.841929, Average Loss  0.866901, Time  0.359226
2021-09-09 19:37:37.686906 : Epoch  7, Batch    314, Loss  0.869108, Average Loss  0.866844, Time  0.356939
2021-09-09 19:37:39.473881 : Epoch  7, Batch    315, Loss  0.863235, Average Loss  0.866893, Time  0.362648
2021-09-09 19:37:41.279920 : Epoch  7, Batch    316, Loss  0.889285, Average Loss  0.866943, Time  0.356954
2021-09-09 19:37:43.076781 : Epoch  7, Batch    317, Loss  0.895005, Average Loss  0.867081, Time  0.371966
2021-09-09 19:37:44.870113 : Epoch  7, Batch    318, Loss  0.882510, Average Loss  0.867065, Time  0.371846
2021-09-09 19:37:46.668962 : Epoch  7, Batch    319, Loss  0.851922, Average Loss  0.866976, Time  0.371047
2021-09-09 19:37:48.496760 : Epoch  7, Batch    320, Loss  0.848431, Average Loss  0.866900, Time  0.367626
2021-09-09 19:37:50.283927 : Epoch  7, Batch    321, Loss  0.870313, Average Loss  0.866881, Time  0.360179
2021-09-09 19:37:52.084818 : Epoch  7, Batch    322, Loss  0.855832, Average Loss  0.866692, Time  0.359406
2021-09-09 19:37:53.872886 : Epoch  7, Batch    323, Loss  0.859681, Average Loss  0.866522, Time  0.366674
2021-09-09 19:37:55.678776 : Epoch  7, Batch    324, Loss  0.885535, Average Loss  0.866573, Time  0.361960
2021-09-09 19:37:57.481805 : Epoch  7, Batch    325, Loss  0.875855, Average Loss  0.866549, Time  0.375548
2021-09-09 19:37:59.292779 : Epoch  7, Batch    326, Loss  0.864851, Average Loss  0.866543, Time  0.375953
2021-09-09 19:38:01.102803 : Epoch  7, Batch    327, Loss  0.867659, Average Loss  0.866507, Time  0.370940
2021-09-09 19:38:02.880900 : Epoch  7, Batch    328, Loss  0.870971, Average Loss  0.866690, Time  0.356601
2021-09-09 19:38:04.696775 : Epoch  7, Batch    329, Loss  0.862046, Average Loss  0.866662, Time  0.364330
2021-09-09 19:38:06.495218 : Epoch  7, Batch    330, Loss  0.865495, Average Loss  0.866681, Time  0.366958
2021-09-09 19:38:08.294926 : Epoch  7, Batch    331, Loss  0.859323, Average Loss  0.866681, Time  0.365608
2021-09-09 19:38:10.077845 : Epoch  7, Batch    332, Loss  0.866340, Average Loss  0.866648, Time  0.358569
2021-09-09 19:38:11.873082 : Epoch  7, Batch    333, Loss  0.846598, Average Loss  0.866451, Time  0.369023
2021-09-09 19:38:13.695066 : Epoch  7, Batch    334, Loss  0.881567, Average Loss  0.866442, Time  0.358935
2021-09-09 19:43:03.429737 : CheckPoint: Validation Loss  0.00060241, Best Loss  0.00056427
2021-09-09 19:43:05.231932 : Epoch  7, Batch    335, Loss  0.841697, Average Loss  0.866263, Time  0.357047
2021-09-09 19:43:07.108820 : Epoch  7, Batch    336, Loss  0.878409, Average Loss  0.866251, Time  0.432694
2021-09-09 19:43:08.885817 : Epoch  7, Batch    337, Loss  0.855551, Average Loss  0.866232, Time  0.357615
2021-09-09 19:43:10.713767 : Epoch  7, Batch    338, Loss  0.876389, Average Loss  0.866249, Time  0.377799
2021-09-09 19:43:12.513844 : Epoch  7, Batch    339, Loss  0.841254, Average Loss  0.866083, Time  0.358160
2021-09-09 19:43:14.325164 : Epoch  7, Batch    340, Loss  0.871747, Average Loss  0.866113, Time  0.366974
2021-09-09 19:43:16.133776 : Epoch  7, Batch    341, Loss  0.833287, Average Loss  0.866065, Time  0.357868
2021-09-09 19:43:17.956917 : Epoch  7, Batch    342, Loss  0.863836, Average Loss  0.865946, Time  0.370878
2021-09-09 19:43:19.742075 : Epoch  7, Batch    343, Loss  0.878784, Average Loss  0.865952, Time  0.359096
2021-09-09 19:43:21.547087 : Epoch  7, Batch    344, Loss  0.892171, Average Loss  0.866134, Time  0.367603
2021-09-09 19:43:23.349939 : Epoch  7, Batch    345, Loss  0.824513, Average Loss  0.865919, Time  0.358287
2021-09-09 19:43:25.153078 : Epoch  7, Batch    346, Loss  0.848513, Average Loss  0.865852, Time  0.365970
2021-09-09 19:43:26.955875 : Epoch  7, Batch    347, Loss  0.863513, Average Loss  0.865911, Time  0.367518
2021-09-09 19:43:28.743779 : Epoch  7, Batch    348, Loss  0.870897, Average Loss  0.865843, Time  0.365293
2021-09-09 19:43:30.540089 : Epoch  7, Batch    349, Loss  0.878999, Average Loss  0.865868, Time  0.360005
2021-09-09 19:43:32.345762 : Epoch  7, Batch    350, Loss  0.863408, Average Loss  0.865887, Time  0.379672
2021-09-09 19:43:34.121143 : Epoch  7, Batch    351, Loss  0.863988, Average Loss  0.865763, Time  0.363683
2021-09-09 19:43:35.903778 : Epoch  7, Batch    352, Loss  0.867554, Average Loss  0.865673, Time  0.367783
2021-09-09 19:43:37.690821 : Epoch  7, Batch    353, Loss  0.865466, Average Loss  0.865617, Time  0.359089
2021-09-09 19:43:39.500777 : Epoch  7, Batch    354, Loss  0.899956, Average Loss  0.865848, Time  0.366535
2021-09-09 19:43:41.310175 : Epoch  7, Batch    355, Loss  0.882038, Average Loss  0.865958, Time  0.357941
2021-09-09 19:43:43.123773 : Epoch  7, Batch    356, Loss  0.844745, Average Loss  0.865869, Time  0.361633
2021-09-09 19:43:44.937871 : Epoch  7, Batch    357, Loss  0.849410, Average Loss  0.865926, Time  0.358865
2021-09-09 19:43:46.759767 : Epoch  7, Batch    358, Loss  0.841365, Average Loss  0.865714, Time  0.362085
2021-09-09 19:43:48.548773 : Epoch  7, Batch    359, Loss  0.881903, Average Loss  0.865744, Time  0.357293
2021-09-09 19:43:50.331780 : Epoch  7, Batch    360, Loss  0.862223, Average Loss  0.865798, Time  0.366779
2021-09-09 19:43:52.122049 : Epoch  7, Batch    361, Loss  0.841810, Average Loss  0.865780, Time  0.358392
2021-09-09 19:43:53.925887 : Epoch  7, Batch    362, Loss  0.849094, Average Loss  0.865812, Time  0.366366
2021-09-09 19:43:55.736075 : Epoch  7, Batch    363, Loss  0.863301, Average Loss  0.865818, Time  0.358914
2021-09-09 19:43:57.548060 : Epoch  7, Batch    364, Loss  0.854777, Average Loss  0.865776, Time  0.361144
2021-09-09 19:43:59.354768 : Epoch  7, Batch    365, Loss  0.865763, Average Loss  0.865820, Time  0.358644
2021-09-09 19:44:01.170925 : Epoch  7, Batch    366, Loss  0.817988, Average Loss  0.865670, Time  0.360895
2021-09-09 19:44:02.963914 : Epoch  7, Batch    367, Loss  0.893221, Average Loss  0.865812, Time  0.358860
2021-09-09 19:44:04.796813 : Epoch  7, Batch    368, Loss  0.839333, Average Loss  0.865730, Time  0.364166
2021-09-09 19:44:06.585858 : Epoch  7, Batch    369, Loss  0.887172, Average Loss  0.865774, Time  0.360758
2021-09-09 19:44:08.377061 : Epoch  7, Batch    370, Loss  0.880460, Average Loss  0.866027, Time  0.363300
2021-09-09 19:44:10.177470 : Epoch  7, Batch    371, Loss  0.875687, Average Loss  0.866237, Time  0.371799
2021-09-09 19:44:11.980293 : Epoch  7, Batch    372, Loss  0.872087, Average Loss  0.866265, Time  0.368593
2021-09-09 19:44:13.774783 : Epoch  7, Batch    373, Loss  0.890187, Average Loss  0.866487, Time  0.361066
2021-09-09 19:44:15.560911 : Epoch  7, Batch    374, Loss  0.895717, Average Loss  0.866561, Time  0.369653
2021-09-09 19:44:17.336864 : Epoch  7, Batch    375, Loss  0.892304, Average Loss  0.866573, Time  0.362993
2021-09-09 19:44:19.158473 : Epoch  7, Batch    376, Loss  0.883281, Average Loss  0.866672, Time  0.377133
2021-09-09 19:44:20.961107 : Epoch  7, Batch    377, Loss  0.868715, Average Loss  0.866680, Time  0.379489
2021-09-09 19:44:22.765868 : Epoch  7, Batch    378, Loss  0.882157, Average Loss  0.866891, Time  0.371596
2021-09-09 19:44:24.594144 : Epoch  7, Batch    379, Loss  0.843711, Average Loss  0.866725, Time  0.365972
2021-09-09 19:44:26.418787 : Epoch  7, Batch    380, Loss  0.826712, Average Loss  0.866464, Time  0.373343
2021-09-09 19:44:28.248875 : Epoch  7, Batch    381, Loss  0.859966, Average Loss  0.866409, Time  0.360232
2021-09-09 19:44:30.044782 : Epoch  7, Batch    382, Loss  0.892244, Average Loss  0.866506, Time  0.357402
2021-09-09 19:44:31.846866 : Epoch  7, Batch    383, Loss  0.892200, Average Loss  0.866640, Time  0.356860
2021-09-09 19:44:33.687767 : Epoch  7, Batch    384, Loss  0.847624, Average Loss  0.866568, Time  0.408602
2021-09-09 19:44:35.499897 : Epoch  7, Batch    385, Loss  0.909404, Average Loss  0.866794, Time  0.356850
2021-09-09 19:44:37.325785 : Epoch  7, Batch    386, Loss  0.841187, Average Loss  0.866664, Time  0.375555
2021-09-09 19:44:39.099773 : Epoch  7, Batch    387, Loss  0.871920, Average Loss  0.866550, Time  0.362871
2021-09-09 19:44:40.896781 : Epoch  7, Batch    388, Loss  0.861755, Average Loss  0.866541, Time  0.377280
2021-09-09 19:44:42.688065 : Epoch  7, Batch    389, Loss  0.872871, Average Loss  0.866458, Time  0.356935
2021-09-09 19:44:44.499774 : Epoch  7, Batch    390, Loss  0.898140, Average Loss  0.866715, Time  0.370762
2021-09-09 19:44:46.272865 : Epoch  7, Batch    391, Loss  0.863157, Average Loss  0.866804, Time  0.358801
2021-09-09 19:44:48.053778 : Epoch  7, Batch    392, Loss  0.844702, Average Loss  0.866768, Time  0.369359
2021-09-09 19:44:49.849110 : Epoch  7, Batch    393, Loss  0.866513, Average Loss  0.866704, Time  0.358696
2021-09-09 19:44:51.672782 : Epoch  7, Batch    394, Loss  0.854798, Average Loss  0.866792, Time  0.372993
2021-09-09 19:44:53.484762 : Epoch  7, Batch    395, Loss  0.840588, Average Loss  0.866504, Time  0.359361
2021-09-09 19:44:55.264430 : Epoch  7, Batch    396, Loss  0.831430, Average Loss  0.866213, Time  0.370875
2021-09-09 19:44:57.054767 : Epoch  7, Batch    397, Loss  0.851902, Average Loss  0.866136, Time  0.358102
2021-09-09 19:44:58.878079 : Epoch  7, Batch    398, Loss  0.859438, Average Loss  0.866258, Time  0.364863
2021-09-09 19:45:00.684187 : Epoch  7, Batch    399, Loss  0.857212, Average Loss  0.866267, Time  0.358401
2021-09-09 19:45:02.497767 : Epoch  7, Batch    400, Loss  0.870754, Average Loss  0.866355, Time  0.362196
2021-09-09 19:45:04.315761 : Epoch  7, Batch    401, Loss  0.883362, Average Loss  0.866342, Time  0.359098
2021-09-09 19:45:06.114144 : Epoch  7, Batch    402, Loss  0.872753, Average Loss  0.866405, Time  0.361098
2021-09-09 19:45:07.914924 : Epoch  7, Batch    403, Loss  0.853617, Average Loss  0.866524, Time  0.358540
2021-09-09 19:45:09.718771 : Epoch  7, Batch    404, Loss  0.859631, Average Loss  0.866656, Time  0.360281
2021-09-09 19:45:11.515796 : Epoch  7, Batch    405, Loss  0.831620, Average Loss  0.866529, Time  0.358256
2021-09-09 19:45:13.317782 : Epoch  7, Batch    406, Loss  0.859449, Average Loss  0.866429, Time  0.365206
2021-09-09 19:45:15.089228 : Epoch  7, Batch    407, Loss  0.873953, Average Loss  0.866382, Time  0.358520
2021-09-09 19:45:16.866788 : Epoch  7, Batch    408, Loss  0.892387, Average Loss  0.866621, Time  0.374739
2021-09-09 19:45:18.688215 : Epoch  7, Batch    409, Loss  0.887879, Average Loss  0.866758, Time  0.377540
2021-09-09 19:45:20.479822 : Epoch  7, Batch    410, Loss  0.860973, Average Loss  0.866680, Time  0.361946
2021-09-09 19:45:22.260885 : Epoch  7, Batch    411, Loss  0.856929, Average Loss  0.866790, Time  0.358103
2021-09-09 19:45:24.080813 : Epoch  7, Batch    412, Loss  0.839933, Average Loss  0.866552, Time  0.370177
2021-09-09 19:45:25.859944 : Epoch  7, Batch    413, Loss  0.882168, Average Loss  0.866662, Time  0.357673
2021-09-09 19:45:27.677784 : Epoch  7, Batch    414, Loss  0.872052, Average Loss  0.866796, Time  0.368258
2021-09-09 19:45:29.482858 : Epoch  7, Batch    415, Loss  0.853987, Average Loss  0.866654, Time  0.357681
2021-09-09 19:45:31.275816 : Epoch  7, Batch    416, Loss  0.877694, Average Loss  0.866549, Time  0.365517
2021-09-09 19:45:33.078796 : Epoch  7, Batch    417, Loss  0.867637, Average Loss  0.866561, Time  0.370490
2021-09-09 19:45:34.869093 : Epoch  7, Batch    418, Loss  0.859763, Average Loss  0.866690, Time  0.369076
2021-09-09 19:45:36.656776 : Epoch  7, Batch    419, Loss  0.841842, Average Loss  0.866597, Time  0.361768
2021-09-09 19:45:38.475133 : Epoch  7, Batch    420, Loss  0.868463, Average Loss  0.866623, Time  0.367433
2021-09-09 19:45:40.262036 : Epoch  7, Batch    421, Loss  0.853867, Average Loss  0.866550, Time  0.365770
2021-09-09 19:45:42.062925 : Epoch  7, Batch    422, Loss  0.870969, Average Loss  0.866438, Time  0.366385
2021-09-09 19:45:43.875767 : Epoch  7, Batch    423, Loss  0.877779, Average Loss  0.866511, Time  0.358194
2021-09-09 19:45:45.679891 : Epoch  7, Batch    424, Loss  0.866492, Average Loss  0.866475, Time  0.380798
2021-09-09 19:45:47.492956 : Epoch  7, Batch    425, Loss  0.869216, Average Loss  0.866424, Time  0.360651
2021-09-09 19:45:49.304109 : Epoch  7, Batch    426, Loss  0.852137, Average Loss  0.866297, Time  0.370895
2021-09-09 19:45:51.096778 : Epoch  7, Batch    427, Loss  0.878390, Average Loss  0.866243, Time  0.360893
2021-09-09 19:45:52.906101 : Epoch  7, Batch    428, Loss  0.870841, Average Loss  0.866357, Time  0.369356
2021-09-09 19:45:54.699764 : Epoch  7, Batch    429, Loss  0.889657, Average Loss  0.866469, Time  0.357446
2021-09-09 19:45:56.514806 : Epoch  7, Batch    430, Loss  0.882495, Average Loss  0.866452, Time  0.376928
2021-09-09 19:45:58.292769 : Epoch  7, Batch    431, Loss  0.869178, Average Loss  0.866383, Time  0.364596
2021-09-09 19:46:00.079768 : Epoch  7, Batch    432, Loss  0.879663, Average Loss  0.866333, Time  0.369792
2021-09-09 19:46:01.863220 : Epoch  7, Batch    433, Loss  0.871181, Average Loss  0.866287, Time  0.358245
2021-09-09 19:46:03.646016 : Epoch  7, Batch    434, Loss  0.884170, Average Loss  0.866334, Time  0.369131
2021-09-09 19:50:54.183722 : CheckPoint: Validation Loss  0.00061601, Best Loss  0.00056427
2021-09-09 19:50:55.980774 : Epoch  7, Batch    435, Loss  0.859473, Average Loss  0.866351, Time  0.361817
2021-09-09 19:50:57.871958 : Epoch  7, Batch    436, Loss  0.875425, Average Loss  0.866328, Time  0.426595
2021-09-09 19:50:59.759781 : Epoch  7, Batch    437, Loss  0.867032, Average Loss  0.866353, Time  0.466589
2021-09-09 19:51:01.548770 : Epoch  7, Batch    438, Loss  0.884844, Average Loss  0.866475, Time  0.376231
2021-09-09 19:51:03.354912 : Epoch  7, Batch    439, Loss  0.856756, Average Loss  0.866369, Time  0.370795
2021-09-09 19:51:05.222783 : Epoch  7, Batch    440, Loss  0.897696, Average Loss  0.866566, Time  0.421896
2021-09-09 19:51:07.095783 : Epoch  7, Batch    441, Loss  0.864828, Average Loss  0.866731, Time  0.463676
2021-09-09 19:51:08.891451 : Epoch  7, Batch    442, Loss  0.881401, Average Loss  0.866904, Time  0.368567
2021-09-09 19:51:10.692768 : Epoch  7, Batch    443, Loss  0.884281, Average Loss  0.867115, Time  0.366199
2021-09-09 19:51:12.553768 : Epoch  7, Batch    444, Loss  0.843919, Average Loss  0.867163, Time  0.432456
2021-09-09 19:51:14.441647 : Epoch  7, Batch    445, Loss  0.884747, Average Loss  0.867300, Time  0.463768
2021-09-09 19:51:16.243458 : Epoch  7, Batch    446, Loss  0.875751, Average Loss  0.867331, Time  0.368058
2021-09-09 19:51:18.039217 : Epoch  7, Batch    447, Loss  0.860456, Average Loss  0.867246, Time  0.363250
2021-09-09 19:51:19.879783 : Epoch  7, Batch    448, Loss  0.896144, Average Loss  0.867374, Time  0.385431
2021-09-09 19:51:21.832247 : Epoch  7, Batch    449, Loss  0.882705, Average Loss  0.867324, Time  0.474103
2021-09-09 19:51:23.631539 : Epoch  7, Batch    450, Loss  0.872697, Average Loss  0.867346, Time  0.366512
2021-09-09 19:51:25.458674 : Epoch  7, Batch    451, Loss  0.893041, Average Loss  0.867385, Time  0.364315
2021-09-09 19:51:27.285114 : Epoch  7, Batch    452, Loss  0.858400, Average Loss  0.867191, Time  0.366462
2021-09-09 19:51:29.177778 : Epoch  7, Batch    453, Loss  0.893304, Average Loss  0.867450, Time  0.451678
2021-09-09 19:51:30.984056 : Epoch  7, Batch    454, Loss  0.890584, Average Loss  0.867383, Time  0.362908
2021-09-09 19:51:32.762777 : Epoch  7, Batch    455, Loss  0.884464, Average Loss  0.867547, Time  0.362041
2021-09-09 19:51:34.602815 : Epoch  7, Batch    456, Loss  0.851309, Average Loss  0.867479, Time  0.408438
2021-09-09 19:51:36.500787 : Epoch  7, Batch    457, Loss  0.872182, Average Loss  0.867504, Time  0.461113
2021-09-09 19:51:38.309874 : Epoch  7, Batch    458, Loss  0.882754, Average Loss  0.867646, Time  0.360861
2021-09-09 19:51:40.157151 : Epoch  7, Batch    459, Loss  0.881094, Average Loss  0.867621, Time  0.377574
2021-09-09 19:51:42.014763 : Epoch  7, Batch    460, Loss  0.833900, Average Loss  0.867676, Time  0.384808
2021-09-09 19:51:43.918146 : Epoch  7, Batch    461, Loss  0.864718, Average Loss  0.867572, Time  0.468302
2021-09-09 19:51:45.748018 : Epoch  7, Batch    462, Loss  0.867701, Average Loss  0.867663, Time  0.346205
2021-09-09 19:51:47.555765 : Epoch  7, Batch    463, Loss  0.865471, Average Loss  0.867599, Time  0.368831
2021-09-09 19:51:49.356669 : Epoch  7, Batch    464, Loss  0.879177, Average Loss  0.867648, Time  0.391975
2021-09-09 19:51:51.276665 : Epoch  7, Batch    465, Loss  0.874960, Average Loss  0.867618, Time  0.477056
2021-09-09 19:51:53.067022 : Epoch  7, Batch    466, Loss  0.889561, Average Loss  0.867867, Time  0.360445
2021-09-09 19:51:54.848355 : Epoch  7, Batch    467, Loss  0.880426, Average Loss  0.867677, Time  0.372143
2021-09-09 19:51:56.627889 : Epoch  7, Batch    468, Loss  0.884812, Average Loss  0.867501, Time  0.370239
2021-09-09 19:51:58.515649 : Epoch  7, Batch    469, Loss  0.856509, Average Loss  0.867381, Time  0.471151
2021-09-09 19:52:00.318821 : Epoch  7, Batch    470, Loss  0.848115, Average Loss  0.867198, Time  0.367504
2021-09-09 19:52:02.119220 : Epoch  7, Batch    471, Loss  0.874973, Average Loss  0.867290, Time  0.369913
2021-09-09 19:52:03.933236 : Epoch  7, Batch    472, Loss  0.871191, Average Loss  0.867254, Time  0.377844
2021-09-09 19:52:05.833939 : Epoch  7, Batch    473, Loss  0.863282, Average Loss  0.867223, Time  0.466797
2021-09-09 19:52:07.601820 : Epoch  7, Batch    474, Loss  0.874442, Average Loss  0.867349, Time  0.362493
2021-09-09 19:52:09.373333 : Epoch  7, Batch    475, Loss  0.868730, Average Loss  0.867396, Time  0.362171
2021-09-09 19:52:11.226501 : Epoch  7, Batch    476, Loss  0.874177, Average Loss  0.867480, Time  0.434476
2021-09-09 19:52:13.143766 : Epoch  7, Batch    477, Loss  0.870549, Average Loss  0.867520, Time  0.471164
2021-09-09 19:52:14.952824 : Epoch  7, Batch    478, Loss  0.859896, Average Loss  0.867434, Time  0.364205
2021-09-09 19:52:16.782771 : Epoch  7, Batch    479, Loss  0.847489, Average Loss  0.867420, Time  0.370603
2021-09-09 19:52:18.588962 : Epoch  7, Batch    480, Loss  0.848973, Average Loss  0.867271, Time  0.375746
2021-09-09 19:52:20.503778 : Epoch  7, Batch    481, Loss  0.852181, Average Loss  0.867274, Time  0.467130
2021-09-09 19:52:22.308970 : Epoch  7, Batch    482, Loss  0.889388, Average Loss  0.867448, Time  0.385214
2021-09-09 19:52:24.099793 : Epoch  7, Batch    483, Loss  0.845512, Average Loss  0.867292, Time  0.366757
2021-09-09 19:52:25.930769 : Epoch  7, Batch    484, Loss  0.881142, Average Loss  0.867250, Time  0.374238
2021-09-09 19:52:27.833781 : Epoch  7, Batch    485, Loss  0.861400, Average Loss  0.867295, Time  0.467095
2021-09-09 19:52:29.674765 : Epoch  7, Batch    486, Loss  0.882004, Average Loss  0.867330, Time  0.362811
2021-09-09 19:52:31.467769 : Epoch  7, Batch    487, Loss  0.858024, Average Loss  0.867357, Time  0.358456
2021-09-09 19:52:33.292658 : Epoch  7, Batch    488, Loss  0.889871, Average Loss  0.867451, Time  0.377690
2021-09-09 19:52:35.206300 : Epoch  7, Batch    489, Loss  0.853832, Average Loss  0.867410, Time  0.462240
2021-09-09 19:52:36.994855 : Epoch  7, Batch    490, Loss  0.870235, Average Loss  0.867364, Time  0.362784
2021-09-09 19:52:38.795998 : Epoch  7, Batch    491, Loss  0.877751, Average Loss  0.867427, Time  0.371647
2021-09-09 19:52:40.604781 : Epoch  7, Batch    492, Loss  0.864289, Average Loss  0.867488, Time  0.371418
2021-09-09 19:52:42.502165 : Epoch  7, Batch    493, Loss  0.866198, Average Loss  0.867469, Time  0.471479
2021-09-09 19:52:44.299241 : Epoch  7, Batch    494, Loss  0.851281, Average Loss  0.867347, Time  0.358292
2021-09-09 19:52:46.124839 : Epoch  7, Batch    495, Loss  0.885477, Average Loss  0.867371, Time  0.378349
2021-09-09 19:52:47.951854 : Epoch  7, Batch    496, Loss  0.828031, Average Loss  0.867177, Time  0.380033
2021-09-09 19:52:49.859785 : Epoch  7, Batch    497, Loss  0.858785, Average Loss  0.867304, Time  0.464662
2021-09-09 19:52:51.669051 : Epoch  7, Batch    498, Loss  0.880649, Average Loss  0.867293, Time  0.361978
2021-09-09 19:52:53.483782 : Epoch  7, Batch    499, Loss  0.855000, Average Loss  0.867258, Time  0.367662
2021-09-09 19:52:55.361138 : Epoch  7, Batch    500, Loss  0.898785, Average Loss  0.867459, Time  0.377752
2021-09-09 19:52:57.280775 : Epoch  7, Batch    501, Loss  0.882003, Average Loss  0.867440, Time  0.459162
2021-09-09 19:52:59.069778 : Epoch  7, Batch    502, Loss  0.856096, Average Loss  0.867388, Time  0.365647
2021-09-09 19:53:00.873315 : Epoch  7, Batch    503, Loss  0.870137, Average Loss  0.867282, Time  0.366573
2021-09-09 19:53:02.691940 : Epoch  7, Batch    504, Loss  0.884329, Average Loss  0.867423, Time  0.367999
2021-09-09 19:53:04.582763 : Epoch  7, Batch    505, Loss  0.849033, Average Loss  0.867372, Time  0.484387
2021-09-09 19:53:06.437911 : Epoch  7, Batch    506, Loss  0.863766, Average Loss  0.867356, Time  0.419999
2021-09-09 19:53:08.253763 : Epoch  7, Batch    507, Loss  0.850930, Average Loss  0.867317, Time  0.371883
2021-09-09 19:53:10.089812 : Epoch  7, Batch    508, Loss  0.882475, Average Loss  0.867500, Time  0.386421
2021-09-09 19:53:11.972202 : Epoch  7, Batch    509, Loss  0.873108, Average Loss  0.867504, Time  0.450624
2021-09-09 19:53:13.886787 : Epoch  7, Batch    510, Loss  0.847496, Average Loss  0.867428, Time  0.470706
2021-09-09 19:53:15.690103 : Epoch  7, Batch    511, Loss  0.877336, Average Loss  0.867439, Time  0.384874
2021-09-09 19:53:17.509497 : Epoch  7, Batch    512, Loss  0.864234, Average Loss  0.867418, Time  0.371296
2021-09-09 19:53:19.343938 : Epoch  7, Batch    513, Loss  0.873482, Average Loss  0.867576, Time  0.418983
2021-09-09 19:53:21.255120 : Epoch  7, Batch    514, Loss  0.865203, Average Loss  0.867556, Time  0.482905
2021-09-09 19:53:23.068804 : Epoch  7, Batch    515, Loss  0.873635, Average Loss  0.867608, Time  0.362784
2021-09-09 19:53:24.905777 : Epoch  7, Batch    516, Loss  0.844486, Average Loss  0.867384, Time  0.375642
2021-09-09 19:53:26.789924 : Epoch  7, Batch    517, Loss  0.840970, Average Loss  0.867114, Time  0.420988
2021-09-09 19:53:28.684578 : Epoch  7, Batch    518, Loss  0.888114, Average Loss  0.867142, Time  0.468111
2021-09-09 19:53:30.490765 : Epoch  7, Batch    519, Loss  0.863609, Average Loss  0.867201, Time  0.382714
2021-09-09 19:53:32.275793 : Epoch  7, Batch    520, Loss  0.880325, Average Loss  0.867360, Time  0.367529
2021-09-09 19:53:34.096529 : Epoch  7, Batch    521, Loss  0.850513, Average Loss  0.867261, Time  0.400712
2021-09-09 19:53:35.995793 : Epoch  7, Batch    522, Loss  0.854876, Average Loss  0.867256, Time  0.473274
2021-09-09 19:53:37.823779 : Epoch  7, Batch    523, Loss  0.854817, Average Loss  0.867232, Time  0.372479
2021-09-09 19:53:39.622797 : Epoch  7, Batch    524, Loss  0.861667, Average Loss  0.867113, Time  0.362886
2021-09-09 19:53:41.438897 : Epoch  7, Batch    525, Loss  0.828363, Average Loss  0.866875, Time  0.391458
2021-09-09 19:53:43.363154 : Epoch  7, Batch    526, Loss  0.866076, Average Loss  0.866881, Time  0.502332
2021-09-09 19:53:45.146976 : Epoch  7, Batch    527, Loss  0.854770, Average Loss  0.866817, Time  0.379191
2021-09-09 19:53:46.940266 : Epoch  7, Batch    528, Loss  0.884871, Average Loss  0.866886, Time  0.360500
2021-09-09 19:53:48.764053 : Epoch  7, Batch    529, Loss  0.895752, Average Loss  0.867055, Time  0.397722
2021-09-09 19:53:50.664142 : Epoch  7, Batch    530, Loss  0.849184, Average Loss  0.866973, Time  0.489663
2021-09-09 19:53:52.483194 : Epoch  7, Batch    531, Loss  0.856740, Average Loss  0.866960, Time  0.395426
2021-09-09 19:53:54.281927 : Epoch  7, Batch    532, Loss  0.872927, Average Loss  0.866993, Time  0.364387
2021-09-09 19:53:56.138182 : Epoch  7, Batch    533, Loss  0.862308, Average Loss  0.867072, Time  0.401279
2021-09-09 19:53:58.036227 : Epoch  7, Batch    534, Loss  0.875881, Average Loss  0.867044, Time  0.461715
2021-09-09 19:58:49.224710 : CheckPoint: Validation Loss  0.00061232, Best Loss  0.00056427
2021-09-09 19:58:51.030971 : Epoch  7, Batch    535, Loss  0.849852, Average Loss  0.867084, Time  0.364465
2021-09-09 19:58:52.946769 : Epoch  7, Batch    536, Loss  0.870950, Average Loss  0.867047, Time  0.461199
2021-09-09 19:58:54.844875 : Epoch  7, Batch    537, Loss  0.870064, Average Loss  0.867120, Time  0.453971
2021-09-09 19:58:56.667771 : Epoch  7, Batch    538, Loss  0.862365, Average Loss  0.867049, Time  0.365894
2021-09-09 19:58:58.459764 : Epoch  7, Batch    539, Loss  0.854245, Average Loss  0.867114, Time  0.361640
2021-09-09 19:59:00.362784 : Epoch  7, Batch    540, Loss  0.821508, Average Loss  0.866863, Time  0.421963
2021-09-09 19:59:02.284074 : Epoch  7, Batch    541, Loss  0.873450, Average Loss  0.867064, Time  0.495998
2021-09-09 19:59:04.074170 : Epoch  7, Batch    542, Loss  0.864477, Average Loss  0.867067, Time  0.368206
2021-09-09 19:59:05.866911 : Epoch  7, Batch    543, Loss  0.876970, Average Loss  0.867058, Time  0.368809
2021-09-09 19:59:07.682451 : Epoch  7, Batch    544, Loss  0.867366, Average Loss  0.866934, Time  0.372894
2021-09-09 19:59:09.590876 : Epoch  7, Batch    545, Loss  0.861554, Average Loss  0.867119, Time  0.490529
2021-09-09 19:59:11.465787 : Epoch  7, Batch    546, Loss  0.841834, Average Loss  0.867086, Time  0.424942
2021-09-09 19:59:13.260773 : Epoch  7, Batch    547, Loss  0.859393, Average Loss  0.867065, Time  0.364291
2021-09-09 19:59:15.039775 : Epoch  7, Batch    548, Loss  0.859330, Average Loss  0.867008, Time  0.369615
2021-09-09 19:59:16.949123 : Epoch  7, Batch    549, Loss  0.862784, Average Loss  0.866926, Time  0.444576
2021-09-09 19:59:18.833798 : Epoch  7, Batch    550, Loss  0.880655, Average Loss  0.867013, Time  0.475255
2021-09-09 19:59:20.678844 : Epoch  7, Batch    551, Loss  0.870687, Average Loss  0.867046, Time  0.367571
2021-09-09 19:59:22.478844 : Epoch  7, Batch    552, Loss  0.888678, Average Loss  0.867152, Time  0.360898
2021-09-09 19:59:24.297299 : Epoch  7, Batch    553, Loss  0.866817, Average Loss  0.867159, Time  0.401282
2021-09-09 19:59:26.177838 : Epoch  7, Batch    554, Loss  0.907739, Average Loss  0.867197, Time  0.470702
2021-09-09 19:59:27.978539 : Epoch  7, Batch    555, Loss  0.843114, Average Loss  0.867003, Time  0.361816
2021-09-09 19:59:29.811814 : Epoch  7, Batch    556, Loss  0.847276, Average Loss  0.867015, Time  0.377136
2021-09-09 19:59:31.638863 : Epoch  7, Batch    557, Loss  0.864689, Average Loss  0.867092, Time  0.377871
2021-09-09 19:59:33.507199 : Epoch  7, Batch    558, Loss  0.885559, Average Loss  0.867313, Time  0.463308
2021-09-09 19:59:35.331023 : Epoch  7, Batch    559, Loss  0.867807, Average Loss  0.867242, Time  0.380009
2021-09-09 19:59:37.139782 : Epoch  7, Batch    560, Loss  0.865881, Average Loss  0.867261, Time  0.362752
2021-09-09 19:59:38.968475 : Epoch  7, Batch    561, Loss  0.900974, Average Loss  0.867556, Time  0.417764
2021-09-09 19:59:40.883133 : Epoch  7, Batch    562, Loss  0.855437, Average Loss  0.867588, Time  0.468571
2021-09-09 19:59:42.695113 : Epoch  7, Batch    563, Loss  0.837631, Average Loss  0.867460, Time  0.367717
2021-09-09 19:59:44.509768 : Epoch  7, Batch    564, Loss  0.825368, Average Loss  0.867313, Time  0.367857
2021-09-09 19:59:46.303261 : Epoch  7, Batch    565, Loss  0.845823, Average Loss  0.867213, Time  0.386998
2021-09-09 19:59:48.199803 : Epoch  7, Batch    566, Loss  0.879023, Average Loss  0.867518, Time  0.457080
2021-09-09 19:59:49.997310 : Epoch  7, Batch    567, Loss  0.863705, Average Loss  0.867371, Time  0.363232
2021-09-09 19:59:51.776883 : Epoch  7, Batch    568, Loss  0.874542, Average Loss  0.867547, Time  0.364403
2021-09-09 19:59:53.600127 : Epoch  7, Batch    569, Loss  0.880121, Average Loss  0.867511, Time  0.402898
2021-09-09 19:59:55.509824 : Epoch  7, Batch    570, Loss  0.846468, Average Loss  0.867342, Time  0.475321
2021-09-09 19:59:57.323864 : Epoch  7, Batch    571, Loss  0.870590, Average Loss  0.867316, Time  0.367098
2021-09-09 19:59:59.152788 : Epoch  7, Batch    572, Loss  0.842267, Average Loss  0.867167, Time  0.383206
2021-09-09 20:00:01.039780 : Epoch  7, Batch    573, Loss  0.869606, Average Loss  0.867064, Time  0.390377
2021-09-09 20:00:02.977342 : Epoch  7, Batch    574, Loss  0.882715, Average Loss  0.866999, Time  0.479300
2021-09-09 20:00:04.841210 : Epoch  7, Batch    575, Loss  0.889641, Average Loss  0.866986, Time  0.429191
2021-09-09 20:00:06.646125 : Epoch  7, Batch    576, Loss  0.861649, Average Loss  0.866878, Time  0.370503
2021-09-09 20:00:08.453779 : Epoch  7, Batch    577, Loss  0.876858, Average Loss  0.866918, Time  0.362790
2021-09-09 20:00:10.355770 : Epoch  7, Batch    578, Loss  0.869887, Average Loss  0.866857, Time  0.450774
2021-09-09 20:00:12.242257 : Epoch  7, Batch    579, Loss  0.863045, Average Loss  0.866954, Time  0.453776
2021-09-09 20:00:14.060780 : Epoch  7, Batch    580, Loss  0.870999, Average Loss  0.867175, Time  0.362985
2021-09-09 20:00:15.865136 : Epoch  7, Batch    581, Loss  0.850359, Average Loss  0.867127, Time  0.362092
2021-09-09 20:00:17.689081 : Epoch  7, Batch    582, Loss  0.885396, Average Loss  0.867093, Time  0.405363
2021-09-09 20:00:19.605674 : Epoch  7, Batch    583, Loss  0.872513, Average Loss  0.866994, Time  0.466010
2021-09-09 20:00:21.406717 : Epoch  7, Batch    584, Loss  0.875626, Average Loss  0.867134, Time  0.365110
2021-09-09 20:00:23.223390 : Epoch  7, Batch    585, Loss  0.915448, Average Loss  0.867165, Time  0.365919
2021-09-09 20:00:25.069029 : Epoch  7, Batch    586, Loss  0.901827, Average Loss  0.867468, Time  0.401693
2021-09-09 20:00:26.965175 : Epoch  7, Batch    587, Loss  0.872648, Average Loss  0.867471, Time  0.461680
2021-09-09 20:00:28.783104 : Epoch  7, Batch    588, Loss  0.849886, Average Loss  0.867412, Time  0.362354
2021-09-09 20:00:30.573161 : Epoch  7, Batch    589, Loss  0.847179, Average Loss  0.867284, Time  0.362416
2021-09-09 20:00:32.398790 : Epoch  7, Batch    590, Loss  0.871042, Average Loss  0.867148, Time  0.385531
2021-09-09 20:00:34.300825 : Epoch  7, Batch    591, Loss  0.869016, Average Loss  0.867177, Time  0.462475
2021-09-09 20:00:36.113767 : Epoch  7, Batch    592, Loss  0.850884, Average Loss  0.867208, Time  0.375638
2021-09-09 20:00:37.937117 : Epoch  7, Batch    593, Loss  0.875511, Average Loss  0.867253, Time  0.374741
2021-09-09 20:00:39.739778 : Epoch  7, Batch    594, Loss  0.864196, Average Loss  0.867300, Time  0.385453
2021-09-09 20:00:41.644123 : Epoch  7, Batch    595, Loss  0.857777, Average Loss  0.867386, Time  0.486308
2021-09-09 20:00:43.431318 : Epoch  7, Batch    596, Loss  0.871655, Average Loss  0.867587, Time  0.363069
2021-09-09 20:00:45.220013 : Epoch  7, Batch    597, Loss  0.861419, Average Loss  0.867635, Time  0.362380
2021-09-09 20:00:47.078962 : Epoch  7, Batch    598, Loss  0.884950, Average Loss  0.867762, Time  0.405418
2021-09-09 20:00:48.948819 : Epoch  7, Batch    599, Loss  0.898858, Average Loss  0.867971, Time  0.455935
2021-09-09 20:00:50.790782 : Epoch  7, Batch    600, Loss  0.872091, Average Loss  0.867977, Time  0.374900
2021-09-09 20:00:52.635131 : Epoch  7, Batch    601, Loss  0.849615, Average Loss  0.867809, Time  0.385930
2021-09-09 20:00:54.464162 : Epoch  7, Batch    602, Loss  0.876061, Average Loss  0.867825, Time  0.397666
2021-09-09 20:00:56.350766 : Epoch  7, Batch    603, Loss  0.877681, Average Loss  0.867946, Time  0.471331
2021-09-09 20:00:58.131522 : Epoch  7, Batch    604, Loss  0.865564, Average Loss  0.867975, Time  0.368231
2021-09-09 20:00:59.920259 : Epoch  7, Batch    605, Loss  0.881906, Average Loss  0.868227, Time  0.376106
2021-09-09 20:01:01.801239 : Epoch  7, Batch    606, Loss  0.870591, Average Loss  0.868282, Time  0.402071
2021-09-09 20:01:03.715789 : Epoch  7, Batch    607, Loss  0.869339, Average Loss  0.868259, Time  0.465674
2021-09-09 20:01:05.527131 : Epoch  7, Batch    608, Loss  0.880837, Average Loss  0.868201, Time  0.363383
2021-09-09 20:01:07.350863 : Epoch  7, Batch    609, Loss  0.873689, Average Loss  0.868131, Time  0.372795
2021-09-09 20:01:09.168781 : Epoch  7, Batch    610, Loss  0.860623, Average Loss  0.868129, Time  0.362565
2021-09-09 20:01:11.095615 : Epoch  7, Batch    611, Loss  0.886656, Average Loss  0.868277, Time  0.498143
2021-09-09 20:01:12.934063 : Epoch  7, Batch    612, Loss  0.844023, Average Loss  0.868298, Time  0.423557
2021-09-09 20:01:14.714819 : Epoch  7, Batch    613, Loss  0.851620, Average Loss  0.868145, Time  0.360085
2021-09-09 20:01:16.535606 : Epoch  7, Batch    614, Loss  0.850041, Average Loss  0.868035, Time  0.364424
2021-09-09 20:01:18.469786 : Epoch  7, Batch    615, Loss  0.887539, Average Loss  0.868203, Time  0.473874
2021-09-09 20:01:20.386860 : Epoch  7, Batch    616, Loss  0.837869, Average Loss  0.868004, Time  0.477658
2021-09-09 20:01:22.205768 : Epoch  7, Batch    617, Loss  0.879016, Average Loss  0.868061, Time  0.387118
2021-09-09 20:01:24.036125 : Epoch  7, Batch    618, Loss  0.846417, Average Loss  0.867994, Time  0.383784
2021-09-09 20:01:25.843201 : Epoch  7, Batch    619, Loss  0.869120, Average Loss  0.868130, Time  0.375100
2021-09-09 20:01:27.732126 : Epoch  7, Batch    620, Loss  0.892375, Average Loss  0.868250, Time  0.464632
2021-09-09 20:01:29.535797 : Epoch  7, Batch    621, Loss  0.882686, Average Loss  0.868394, Time  0.367970
2021-09-09 20:01:31.315974 : Epoch  7, Batch    622, Loss  0.894776, Average Loss  0.868513, Time  0.362459
2021-09-09 20:01:33.159876 : Epoch  7, Batch    623, Loss  0.860664, Average Loss  0.868427, Time  0.431902
2021-09-09 20:01:35.055126 : Epoch  7, Batch    624, Loss  0.882197, Average Loss  0.868506, Time  0.478761
2021-09-09 20:01:36.833176 : Epoch  7, Batch    625, Loss  0.864773, Average Loss  0.868484, Time  0.364384
2021-09-09 20:01:38.631121 : Epoch  7, Batch    626, Loss  0.858003, Average Loss  0.868513, Time  0.361164
2021-09-09 20:01:40.462527 : Epoch  7, Batch    627, Loss  0.867456, Average Loss  0.868458, Time  0.415190
2021-09-09 20:01:42.328788 : Epoch  7, Batch    628, Loss  0.828089, Average Loss  0.868245, Time  0.460537
2021-09-09 20:01:44.121184 : Epoch  7, Batch    629, Loss  0.868787, Average Loss  0.868140, Time  0.366899
2021-09-09 20:01:45.928779 : Epoch  7, Batch    630, Loss  0.863557, Average Loss  0.868046, Time  0.372453
2021-09-09 20:01:47.789101 : Epoch  7, Batch    631, Loss  0.859554, Average Loss  0.867997, Time  0.419260
2021-09-09 20:01:49.690259 : Epoch  7, Batch    632, Loss  0.869419, Average Loss  0.867946, Time  0.479285
2021-09-09 20:01:51.573540 : Epoch  7, Batch    633, Loss  0.871627, Average Loss  0.867948, Time  0.392191
2021-09-09 20:01:53.367275 : Epoch  7, Batch    634, Loss  0.850289, Average Loss  0.867779, Time  0.368212
2021-09-09 20:06:44.211720 : CheckPoint: Validation Loss  0.00061306, Best Loss  0.00056427
2021-09-09 20:06:45.992771 : Epoch  7, Batch    635, Loss  0.872479, Average Loss  0.867844, Time  0.360561
2021-09-09 20:06:47.894770 : Epoch  7, Batch    636, Loss  0.858966, Average Loss  0.867762, Time  0.453356
2021-09-09 20:06:49.819386 : Epoch  7, Batch    637, Loss  0.832241, Average Loss  0.867588, Time  0.465384
2021-09-09 20:06:51.619889 : Epoch  7, Batch    638, Loss  0.883665, Average Loss  0.867582, Time  0.369765
2021-09-09 20:06:53.460670 : Epoch  7, Batch    639, Loss  0.894430, Average Loss  0.867770, Time  0.381812
2021-09-09 20:06:55.283781 : Epoch  7, Batch    640, Loss  0.917364, Average Loss  0.867869, Time  0.378540
2021-09-09 20:06:57.168766 : Epoch  7, Batch    641, Loss  0.864387, Average Loss  0.867866, Time  0.480698
2021-09-09 20:06:58.954780 : Epoch  7, Batch    642, Loss  0.861475, Average Loss  0.867767, Time  0.363358
2021-09-09 20:07:00.753827 : Epoch  7, Batch    643, Loss  0.887930, Average Loss  0.867785, Time  0.363295
2021-09-09 20:07:02.598867 : Epoch  7, Batch    644, Loss  0.831300, Average Loss  0.867722, Time  0.421286
2021-09-09 20:07:04.510822 : Epoch  7, Batch    645, Loss  0.868086, Average Loss  0.867639, Time  0.463195
2021-09-09 20:07:06.296967 : Epoch  7, Batch    646, Loss  0.860295, Average Loss  0.867561, Time  0.362189
2021-09-09 20:07:08.075990 : Epoch  7, Batch    647, Loss  0.860674, Average Loss  0.867562, Time  0.369091
2021-09-09 20:07:09.900781 : Epoch  7, Batch    648, Loss  0.848522, Average Loss  0.867324, Time  0.392020
2021-09-09 20:07:11.826151 : Epoch  7, Batch    649, Loss  0.886167, Average Loss  0.867342, Time  0.462307
2021-09-09 20:07:13.633771 : Epoch  7, Batch    650, Loss  0.855024, Average Loss  0.867253, Time  0.351934
2021-09-09 20:07:15.462117 : Epoch  7, Batch    651, Loss  0.852366, Average Loss  0.867050, Time  0.376365
2021-09-09 20:07:17.276146 : Epoch  7, Batch    652, Loss  0.875375, Average Loss  0.867135, Time  0.372988
2021-09-09 20:07:19.180337 : Epoch  7, Batch    653, Loss  0.876884, Average Loss  0.867053, Time  0.471239
2021-09-09 20:07:20.939766 : Epoch  7, Batch    654, Loss  0.889108, Average Loss  0.867045, Time  0.351696
2021-09-09 20:07:22.722503 : Epoch  7, Batch    655, Loss  0.871454, Average Loss  0.866980, Time  0.365910
2021-09-09 20:07:24.526117 : Epoch  7, Batch    656, Loss  0.884199, Average Loss  0.867145, Time  0.379009
2021-09-09 20:07:26.422957 : Epoch  7, Batch    657, Loss  0.870818, Average Loss  0.867138, Time  0.464267
2021-09-09 20:07:28.236769 : Epoch  7, Batch    658, Loss  0.862960, Average Loss  0.867039, Time  0.372820
2021-09-09 20:07:30.033935 : Epoch  7, Batch    659, Loss  0.889023, Average Loss  0.867079, Time  0.373138
2021-09-09 20:07:31.873200 : Epoch  7, Batch    660, Loss  0.868149, Average Loss  0.867250, Time  0.413251
2021-09-09 20:07:33.747785 : Epoch  7, Batch    661, Loss  0.855994, Average Loss  0.867206, Time  0.452025
2021-09-09 20:07:35.546068 : Epoch  7, Batch    662, Loss  0.879586, Average Loss  0.867266, Time  0.372397
2021-09-09 20:07:37.322107 : Epoch  7, Batch    663, Loss  0.862253, Average Loss  0.867250, Time  0.368868
2021-09-09 20:07:39.203303 : Epoch  7, Batch    664, Loss  0.881579, Average Loss  0.867262, Time  0.450397
2021-09-09 20:07:41.131791 : Epoch  7, Batch    665, Loss  0.906206, Average Loss  0.867418, Time  0.478302
2021-09-09 20:07:42.926261 : Epoch  7, Batch    666, Loss  0.871754, Average Loss  0.867329, Time  0.364634
2021-09-09 20:07:44.797768 : Epoch  7, Batch    667, Loss  0.848312, Average Loss  0.867168, Time  0.373248
2021-09-09 20:07:46.555791 : Epoch  7, Batch    668, Loss  0.853407, Average Loss  0.867011, Time  0.416755
2021-09-09 20:07:48.439764 : Epoch  7, Batch    669, Loss  0.842927, Average Loss  0.866943, Time  0.475871
2021-09-09 20:07:50.215812 : Epoch  7, Batch    670, Loss  0.847950, Average Loss  0.866942, Time  0.368057
2021-09-09 20:07:51.998958 : Epoch  7, Batch    671, Loss  0.872728, Average Loss  0.866931, Time  0.366622
2021-09-09 20:07:53.869788 : Epoch  7, Batch    672, Loss  0.860806, Average Loss  0.866879, Time  0.431012
2021-09-09 20:07:55.746863 : Epoch  7, Batch    673, Loss  0.892345, Average Loss  0.867025, Time  0.459943
2021-09-09 20:07:57.574951 : Epoch  7, Batch    674, Loss  0.869968, Average Loss  0.867002, Time  0.374933
2021-09-09 20:07:59.401133 : Epoch  7, Batch    675, Loss  0.878340, Average Loss  0.867050, Time  0.370238
2021-09-09 20:08:01.261114 : Epoch  7, Batch    676, Loss  0.869669, Average Loss  0.867028, Time  0.404570
2021-09-09 20:08:03.165043 : Epoch  7, Batch    677, Loss  0.856491, Average Loss  0.866957, Time  0.463482
2021-09-09 20:08:05.009132 : Epoch  7, Batch    678, Loss  0.856618, Average Loss  0.866941, Time  0.365600
2021-09-09 20:08:06.830826 : Epoch  7, Batch    679, Loss  0.892967, Average Loss  0.867168, Time  0.375366
2021-09-09 20:08:08.691778 : Epoch  7, Batch    680, Loss  0.871986, Average Loss  0.867283, Time  0.396320
2021-09-09 20:08:10.578153 : Epoch  7, Batch    681, Loss  0.900834, Average Loss  0.867527, Time  0.460125
2021-09-09 20:08:12.345770 : Epoch  7, Batch    682, Loss  0.879679, Average Loss  0.867478, Time  0.362862
2021-09-09 20:08:14.129154 : Epoch  7, Batch    683, Loss  0.858505, Average Loss  0.867543, Time  0.363260
2021-09-09 20:08:15.954776 : Epoch  7, Batch    684, Loss  0.864703, Average Loss  0.867461, Time  0.414432
2021-09-09 20:08:17.863652 : Epoch  7, Batch    685, Loss  0.878478, Average Loss  0.867546, Time  0.474324
2021-09-09 20:08:19.657781 : Epoch  7, Batch    686, Loss  0.860295, Average Loss  0.867438, Time  0.370156
2021-09-09 20:08:21.447778 : Epoch  7, Batch    687, Loss  0.881574, Average Loss  0.867556, Time  0.355904
2021-09-09 20:08:23.257783 : Epoch  7, Batch    688, Loss  0.869948, Average Loss  0.867456, Time  0.398577
2021-09-09 20:08:25.166210 : Epoch  7, Batch    689, Loss  0.906983, Average Loss  0.867722, Time  0.487422
2021-09-09 20:08:26.973787 : Epoch  7, Batch    690, Loss  0.841824, Average Loss  0.867580, Time  0.377161
2021-09-09 20:08:28.793363 : Epoch  7, Batch    691, Loss  0.859988, Average Loss  0.867491, Time  0.364788
2021-09-09 20:08:30.625830 : Epoch  7, Batch    692, Loss  0.878318, Average Loss  0.867561, Time  0.389580
2021-09-09 20:08:32.528941 : Epoch  7, Batch    693, Loss  0.852085, Average Loss  0.867490, Time  0.487412
2021-09-09 20:08:34.299248 : Epoch  7, Batch    694, Loss  0.852571, Average Loss  0.867497, Time  0.363541
2021-09-09 20:08:36.105774 : Epoch  7, Batch    695, Loss  0.894668, Average Loss  0.867543, Time  0.376097
2021-09-09 20:08:37.961820 : Epoch  7, Batch    696, Loss  0.852425, Average Loss  0.867665, Time  0.430019
2021-09-09 20:08:39.863767 : Epoch  7, Batch    697, Loss  0.868511, Average Loss  0.867713, Time  0.461642
2021-09-09 20:08:41.646625 : Epoch  7, Batch    698, Loss  0.862544, Average Loss  0.867623, Time  0.362405
2021-09-09 20:08:43.449134 : Epoch  7, Batch    699, Loss  0.844344, Average Loss  0.867570, Time  0.365220
2021-09-09 20:08:45.310674 : Epoch  7, Batch    700, Loss  0.868223, Average Loss  0.867417, Time  0.395398
2021-09-09 20:08:47.193070 : Epoch  7, Batch    701, Loss  0.885313, Average Loss  0.867433, Time  0.462656
2021-09-09 20:08:48.999212 : Epoch  7, Batch    702, Loss  0.890225, Average Loss  0.867604, Time  0.360561
2021-09-09 20:08:50.809764 : Epoch  7, Batch    703, Loss  0.897988, Average Loss  0.867743, Time  0.372121
2021-09-09 20:08:52.635759 : Epoch  7, Batch    704, Loss  0.895266, Average Loss  0.867798, Time  0.418916
2021-09-09 20:08:54.532900 : Epoch  7, Batch    705, Loss  0.882695, Average Loss  0.867966, Time  0.466333
2021-09-09 20:08:56.346286 : Epoch  7, Batch    706, Loss  0.888766, Average Loss  0.868091, Time  0.390420
2021-09-09 20:08:58.128207 : Epoch  7, Batch    707, Loss  0.885186, Average Loss  0.868263, Time  0.359480
2021-09-09 20:08:59.929146 : Epoch  7, Batch    708, Loss  0.878834, Average Loss  0.868244, Time  0.373516
2021-09-09 20:09:01.830978 : Epoch  7, Batch    709, Loss  0.888614, Average Loss  0.868322, Time  0.464687
2021-09-09 20:09:03.664457 : Epoch  7, Batch    710, Loss  0.849435, Average Loss  0.868332, Time  0.386079
2021-09-09 20:09:05.463615 : Epoch  7, Batch    711, Loss  0.910404, Average Loss  0.868497, Time  0.370280
2021-09-09 20:09:07.279506 : Epoch  7, Batch    712, Loss  0.859025, Average Loss  0.868471, Time  0.393868
2021-09-09 20:09:09.210770 : Epoch  7, Batch    713, Loss  0.855046, Average Loss  0.868379, Time  0.463944
2021-09-09 20:09:11.087786 : Epoch  7, Batch    714, Loss  0.839085, Average Loss  0.868248, Time  0.429749
2021-09-09 20:09:12.946837 : Epoch  7, Batch    715, Loss  0.835140, Average Loss  0.868056, Time  0.422826
2021-09-09 20:09:14.762764 : Epoch  7, Batch    716, Loss  0.864994, Average Loss  0.868158, Time  0.382746
2021-09-09 20:09:16.627117 : Epoch  7, Batch    717, Loss  0.885136, Average Loss  0.868379, Time  0.421806
2021-09-09 20:09:18.571355 : Epoch  7, Batch    718, Loss  0.855651, Average Loss  0.868217, Time  0.474884
2021-09-09 20:09:20.356777 : Epoch  7, Batch    719, Loss  0.856487, Average Loss  0.868181, Time  0.361583
2021-09-09 20:09:22.147819 : Epoch  7, Batch    720, Loss  0.884002, Average Loss  0.868199, Time  0.363099
2021-09-09 20:09:23.972994 : Epoch  7, Batch    721, Loss  0.856597, Average Loss  0.868230, Time  0.381286
2021-09-09 20:09:25.883951 : Epoch  7, Batch    722, Loss  0.866346, Average Loss  0.868287, Time  0.487339
2021-09-09 20:09:27.657856 : Epoch  7, Batch    723, Loss  0.918675, Average Loss  0.868607, Time  0.370661
2021-09-09 20:09:29.469120 : Epoch  7, Batch    724, Loss  0.858491, Average Loss  0.868591, Time  0.369150
2021-09-09 20:09:31.309268 : Epoch  7, Batch    725, Loss  0.848038, Average Loss  0.868689, Time  0.420442
2021-09-09 20:09:33.214869 : Epoch  7, Batch    726, Loss  0.864245, Average Loss  0.868680, Time  0.460732
2021-09-09 20:09:34.986481 : Epoch  7, Batch    727, Loss  0.858152, Average Loss  0.868697, Time  0.362030
2021-09-09 20:09:36.794580 : Epoch  7, Batch    728, Loss  0.865457, Average Loss  0.868600, Time  0.363348
2021-09-09 20:09:38.624767 : Epoch  7, Batch    729, Loss  0.840500, Average Loss  0.868323, Time  0.389575
2021-09-09 20:09:40.526116 : Epoch  7, Batch    730, Loss  0.860489, Average Loss  0.868380, Time  0.463292
2021-09-09 20:09:42.334626 : Epoch  7, Batch    731, Loss  0.869631, Average Loss  0.868444, Time  0.362854
2021-09-09 20:09:44.142084 : Epoch  7, Batch    732, Loss  0.864497, Average Loss  0.868402, Time  0.366018
2021-09-09 20:09:45.965777 : Epoch  7, Batch    733, Loss  0.884998, Average Loss  0.868516, Time  0.396015
2021-09-09 20:09:53.304775 : Epoch  7, Batch    734, Loss  0.878460, Average Loss  0.868529, Time  0.379931
2021-09-09 20:14:44.244761 : CheckPoint: Validation Loss  0.00061049, Best Loss  0.00056427
2021-09-09 20:14:46.041056 : Epoch  7, Batch    735, Loss  0.883530, Average Loss  0.868697, Time  0.366844
2021-09-09 20:14:47.857785 : Epoch  7, Batch    736, Loss  0.872831, Average Loss  0.868706, Time  0.373080
2021-09-09 20:14:49.711783 : Epoch  7, Batch    737, Loss  0.858690, Average Loss  0.868650, Time  0.393914
2021-09-09 20:14:51.643779 : Epoch  7, Batch    738, Loss  0.905378, Average Loss  0.868865, Time  0.461056
2021-09-09 20:14:53.455763 : Epoch  7, Batch    739, Loss  0.866727, Average Loss  0.868927, Time  0.392792
2021-09-09 20:14:55.252767 : Epoch  7, Batch    740, Loss  0.864709, Average Loss  0.869143, Time  0.367576
2021-09-09 20:14:57.078039 : Epoch  7, Batch    741, Loss  0.874201, Average Loss  0.869147, Time  0.387053
2021-09-09 20:14:58.968848 : Epoch  7, Batch    742, Loss  0.877187, Average Loss  0.869210, Time  0.462172
2021-09-09 20:15:00.762589 : Epoch  7, Batch    743, Loss  0.862021, Average Loss  0.869136, Time  0.365152
2021-09-09 20:15:02.555789 : Epoch  7, Batch    744, Loss  0.876011, Average Loss  0.869179, Time  0.365572
2021-09-09 20:15:04.398193 : Epoch  7, Batch    745, Loss  0.852891, Average Loss  0.869135, Time  0.385689
2021-09-09 20:15:06.300776 : Epoch  7, Batch    746, Loss  0.858509, Average Loss  0.869219, Time  0.468188
2021-09-09 20:15:08.114159 : Epoch  7, Batch    747, Loss  0.872601, Average Loss  0.869285, Time  0.362446
2021-09-09 20:15:09.905417 : Epoch  7, Batch    748, Loss  0.899732, Average Loss  0.869487, Time  0.359754
2021-09-09 20:15:11.724814 : Epoch  7, Batch    749, Loss  0.840473, Average Loss  0.869375, Time  0.384281
2021-09-09 20:15:13.607984 : Epoch  7, Batch    750, Loss  0.878586, Average Loss  0.869365, Time  0.460806
2021-09-09 20:15:15.405370 : Epoch  7, Batch    751, Loss  0.856301, Average Loss  0.869293, Time  0.364006
2021-09-09 20:15:17.205777 : Epoch  7, Batch    752, Loss  0.895992, Average Loss  0.869330, Time  0.364378
2021-09-09 20:15:19.038818 : Epoch  7, Batch    753, Loss  0.908230, Average Loss  0.869537, Time  0.379067
2021-09-09 20:15:20.982805 : Epoch  7, Batch    754, Loss  0.863280, Average Loss  0.869314, Time  0.464226
2021-09-09 20:15:22.762493 : Epoch  7, Batch    755, Loss  0.861242, Average Loss  0.869405, Time  0.366391
2021-09-09 20:15:24.588783 : Epoch  7, Batch    756, Loss  0.875918, Average Loss  0.869548, Time  0.367825
2021-09-09 20:15:26.405427 : Epoch  7, Batch    757, Loss  0.873812, Average Loss  0.869594, Time  0.378666
2021-09-09 20:15:28.308806 : Epoch  7, Batch    758, Loss  0.885291, Average Loss  0.869593, Time  0.465420
2021-09-09 20:15:30.124158 : Epoch  7, Batch    759, Loss  0.871162, Average Loss  0.869609, Time  0.363568
2021-09-09 20:15:31.926681 : Epoch  7, Batch    760, Loss  0.876363, Average Loss  0.869662, Time  0.375745
2021-09-09 20:15:33.740937 : Epoch  7, Batch    761, Loss  0.841288, Average Loss  0.869363, Time  0.395489
2021-09-09 20:15:35.661001 : Epoch  7, Batch    762, Loss  0.847888, Average Loss  0.869326, Time  0.484407
2021-09-09 20:15:37.487880 : Epoch  7, Batch    763, Loss  0.868776, Average Loss  0.869481, Time  0.386962
2021-09-09 20:15:39.311786 : Epoch  7, Batch    764, Loss  0.872321, Average Loss  0.869716, Time  0.379032
2021-09-09 20:15:41.166781 : Epoch  7, Batch    765, Loss  0.854075, Average Loss  0.869757, Time  0.425565
2021-09-09 20:15:43.057985 : Epoch  7, Batch    766, Loss  0.865683, Average Loss  0.869691, Time  0.458591
2021-09-09 20:15:44.892965 : Epoch  7, Batch    767, Loss  0.874923, Average Loss  0.869747, Time  0.361616
2021-09-09 20:15:46.683113 : Epoch  7, Batch    768, Loss  0.846123, Average Loss  0.869605, Time  0.360603
2021-09-09 20:15:48.550821 : Epoch  7, Batch    769, Loss  0.893116, Average Loss  0.869670, Time  0.455035
2021-09-09 20:15:50.418205 : Epoch  7, Batch    770, Loss  0.893209, Average Loss  0.869903, Time  0.458542
2021-09-09 20:15:52.259017 : Epoch  7, Batch    771, Loss  0.882742, Average Loss  0.869964, Time  0.369359
2021-09-09 20:15:54.091053 : Epoch  7, Batch    772, Loss  0.872862, Average Loss  0.870117, Time  0.386725
2021-09-09 20:15:55.927773 : Epoch  7, Batch    773, Loss  0.884819, Average Loss  0.870193, Time  0.408899
2021-09-09 20:15:57.824946 : Epoch  7, Batch    774, Loss  0.877154, Average Loss  0.870165, Time  0.466960
2021-09-09 20:15:59.640045 : Epoch  7, Batch    775, Loss  0.878705, Average Loss  0.870111, Time  0.370134
2021-09-09 20:16:01.465125 : Epoch  7, Batch    776, Loss  0.858843, Average Loss  0.870097, Time  0.369852
2021-09-09 20:16:03.292775 : Epoch  7, Batch    777, Loss  0.893048, Average Loss  0.870178, Time  0.385753
2021-09-09 20:16:05.227765 : Epoch  7, Batch    778, Loss  0.872276, Average Loss  0.870189, Time  0.462532
2021-09-09 20:16:07.158770 : Epoch  7, Batch    779, Loss  0.852625, Average Loss  0.870137, Time  0.444220
2021-09-09 20:16:09.031317 : Epoch  7, Batch    780, Loss  0.889005, Average Loss  0.870227, Time  0.411319
2021-09-09 20:16:10.816777 : Epoch  7, Batch    781, Loss  0.874603, Average Loss  0.870349, Time  0.371588
2021-09-09 20:16:12.672466 : Epoch  7, Batch    782, Loss  0.881690, Average Loss  0.870330, Time  0.416773
2021-09-09 20:16:14.575122 : Epoch  7, Batch    783, Loss  0.886915, Average Loss  0.870402, Time  0.474486
2021-09-09 20:16:16.393769 : Epoch  7, Batch    784, Loss  0.880402, Average Loss  0.870426, Time  0.383909
2021-09-09 20:16:18.199297 : Epoch  7, Batch    785, Loss  0.912641, Average Loss  0.870412, Time  0.381301
2021-09-09 20:16:20.050773 : Epoch  7, Batch    786, Loss  0.880745, Average Loss  0.870307, Time  0.403161
2021-09-09 20:16:22.019660 : Epoch  7, Batch    787, Loss  0.896024, Average Loss  0.870423, Time  0.478400
2021-09-09 20:16:23.888768 : Epoch  7, Batch    788, Loss  0.862215, Average Loss  0.870485, Time  0.414575
2021-09-09 20:16:25.706779 : Epoch  7, Batch    789, Loss  0.890777, Average Loss  0.870703, Time  0.367751
2021-09-09 20:16:27.544774 : Epoch  7, Batch    790, Loss  0.869697, Average Loss  0.870696, Time  0.377172
2021-09-09 20:16:29.421783 : Epoch  7, Batch    791, Loss  0.852062, Average Loss  0.870612, Time  0.441880
2021-09-09 20:16:31.400809 : Epoch  7, Batch    792, Loss  0.855782, Average Loss  0.870636, Time  0.492983
2021-09-09 20:16:33.254932 : Epoch  7, Batch    793, Loss  0.851540, Average Loss  0.870516, Time  0.429926
2021-09-09 20:16:35.039871 : Epoch  7, Batch    794, Loss  0.877046, Average Loss  0.870580, Time  0.369568
2021-09-09 20:16:36.876039 : Epoch  7, Batch    795, Loss  0.859769, Average Loss  0.870590, Time  0.391610
2021-09-09 20:16:38.774785 : Epoch  7, Batch    796, Loss  0.881055, Average Loss  0.870637, Time  0.455734
2021-09-09 20:16:40.692269 : Epoch  7, Batch    797, Loss  0.872970, Average Loss  0.870695, Time  0.468347
2021-09-09 20:16:42.532788 : Epoch  7, Batch    798, Loss  0.825943, Average Loss  0.870400, Time  0.376014
2021-09-09 20:16:44.342802 : Epoch  7, Batch    799, Loss  0.856300, Average Loss  0.870187, Time  0.376625
2021-09-09 20:16:46.194779 : Epoch  7, Batch    800, Loss  0.880216, Average Loss  0.870228, Time  0.392415
2021-09-09 20:16:48.075007 : Epoch  7, Batch    801, Loss  0.868521, Average Loss  0.870322, Time  0.451284
2021-09-09 20:16:49.870937 : Epoch  7, Batch    802, Loss  0.839788, Average Loss  0.870141, Time  0.376950
2021-09-09 20:16:51.682777 : Epoch  7, Batch    803, Loss  0.879480, Average Loss  0.870150, Time  0.371265
2021-09-09 20:16:53.512769 : Epoch  7, Batch    804, Loss  0.899461, Average Loss  0.870320, Time  0.390298
2021-09-09 20:16:55.440765 : Epoch  7, Batch    805, Loss  0.874079, Average Loss  0.870280, Time  0.480639
2021-09-09 20:16:57.230779 : Epoch  7, Batch    806, Loss  0.874952, Average Loss  0.870302, Time  0.357611
2021-09-09 20:16:59.028765 : Epoch  7, Batch    807, Loss  0.857255, Average Loss  0.870242, Time  0.366123
2021-09-09 20:17:00.822865 : Epoch  7, Batch    808, Loss  0.899407, Average Loss  0.870335, Time  0.374104
2021-09-09 20:17:02.718778 : Epoch  7, Batch    809, Loss  0.889398, Average Loss  0.870413, Time  0.467925
2021-09-09 20:17:04.508782 : Epoch  7, Batch    810, Loss  0.856220, Average Loss  0.870391, Time  0.363684
2021-09-09 20:17:06.306856 : Epoch  7, Batch    811, Loss  0.877908, Average Loss  0.870347, Time  0.364133
2021-09-09 20:17:08.136886 : Epoch  7, Batch    812, Loss  0.853676, Average Loss  0.870396, Time  0.395764
2021-09-09 20:17:10.028981 : Epoch  7, Batch    813, Loss  0.874063, Average Loss  0.870508, Time  0.472641
2021-09-09 20:17:11.823784 : Epoch  7, Batch    814, Loss  0.880218, Average Loss  0.870659, Time  0.370120
2021-09-09 20:17:13.638826 : Epoch  7, Batch    815, Loss  0.860477, Average Loss  0.870524, Time  0.369899
2021-09-09 20:17:15.495769 : Epoch  7, Batch    816, Loss  0.855677, Average Loss  0.870613, Time  0.397842
2021-09-09 20:17:17.399766 : Epoch  7, Batch    817, Loss  0.857702, Average Loss  0.870506, Time  0.459549
2021-09-09 20:17:19.217776 : Epoch  7, Batch    818, Loss  0.850203, Average Loss  0.870525, Time  0.362536
2021-09-09 20:17:21.026988 : Epoch  7, Batch    819, Loss  0.874217, Average Loss  0.870550, Time  0.362870
2021-09-09 20:17:22.854102 : Epoch  7, Batch    820, Loss  0.845503, Average Loss  0.870316, Time  0.397591
2021-09-09 20:17:24.760880 : Epoch  7, Batch    821, Loss  0.902765, Average Loss  0.870416, Time  0.462945
2021-09-09 20:17:26.597987 : Epoch  7, Batch    822, Loss  0.879607, Average Loss  0.870341, Time  0.368284
2021-09-09 20:17:28.379770 : Epoch  7, Batch    823, Loss  0.836836, Average Loss  0.870221, Time  0.366201
2021-09-09 20:17:30.228115 : Epoch  7, Batch    824, Loss  0.886557, Average Loss  0.870243, Time  0.411692
2021-09-09 20:17:32.183946 : Epoch  7, Batch    825, Loss  0.876026, Average Loss  0.870300, Time  0.487842
2021-09-09 20:17:34.074784 : Epoch  7, Batch    826, Loss  0.847388, Average Loss  0.870246, Time  0.428167
2021-09-09 20:17:35.876427 : Epoch  7, Batch    827, Loss  0.861033, Average Loss  0.870214, Time  0.369264
2021-09-09 20:17:37.667814 : Epoch  7, Batch    828, Loss  0.852207, Average Loss  0.870335, Time  0.362992
2021-09-09 20:17:39.568124 : Epoch  7, Batch    829, Loss  0.887957, Average Loss  0.870431, Time  0.461972
2021-09-09 20:17:41.509824 : Epoch  7, Batch    830, Loss  0.828584, Average Loss  0.870256, Time  0.460450
2021-09-09 20:17:43.291795 : Epoch  7, Batch    831, Loss  0.857500, Average Loss  0.870246, Time  0.360957
2021-09-09 20:17:45.136790 : Epoch  7, Batch    832, Loss  0.880557, Average Loss  0.870301, Time  0.362592
2021-09-09 20:17:46.973784 : Epoch  7, Batch    833, Loss  0.881833, Average Loss  0.870352, Time  0.378286
2021-09-09 20:17:48.870286 : Epoch  7, Batch    834, Loss  0.851675, Average Loss  0.870359, Time  0.456549
2021-09-09 20:22:40.341717 : CheckPoint: Validation Loss  0.00059750, Best Loss  0.00056427
2021-09-09 20:22:42.173784 : Epoch  7, Batch    835, Loss  0.869066, Average Loss  0.870342, Time  0.363424
2021-09-09 20:22:43.984871 : Epoch  7, Batch    836, Loss  0.865880, Average Loss  0.870377, Time  0.362696
2021-09-09 20:22:45.888775 : Epoch  7, Batch    837, Loss  0.852860, Average Loss  0.870480, Time  0.444632
2021-09-09 20:22:47.838768 : Epoch  7, Batch    838, Loss  0.888874, Average Loss  0.870506, Time  0.464640
2021-09-09 20:22:49.656822 : Epoch  7, Batch    839, Loss  0.870660, Average Loss  0.870387, Time  0.358909
2021-09-09 20:22:51.524435 : Epoch  7, Batch    840, Loss  0.869698, Average Loss  0.870149, Time  0.369851
2021-09-09 20:22:53.352101 : Epoch  7, Batch    841, Loss  0.863714, Average Loss  0.870145, Time  0.362489
2021-09-09 20:22:55.226890 : Epoch  7, Batch    842, Loss  0.882645, Average Loss  0.870251, Time  0.460293
2021-09-09 20:22:57.123823 : Epoch  7, Batch    843, Loss  0.863797, Average Loss  0.870131, Time  0.451180
2021-09-09 20:22:58.932766 : Epoch  7, Batch    844, Loss  0.872940, Average Loss  0.870339, Time  0.366127
2021-09-09 20:23:00.781688 : Epoch  7, Batch    845, Loss  0.884172, Average Loss  0.870419, Time  0.372534
2021-09-09 20:23:02.626925 : Epoch  7, Batch    846, Loss  0.868481, Average Loss  0.870460, Time  0.420080
2021-09-09 20:23:04.513751 : Epoch  7, Batch    847, Loss  0.839630, Average Loss  0.870355, Time  0.470061
2021-09-09 20:23:06.311327 : Epoch  7, Batch    848, Loss  0.832938, Average Loss  0.870277, Time  0.362796
2021-09-09 20:23:08.097818 : Epoch  7, Batch    849, Loss  0.850511, Average Loss  0.870099, Time  0.374492
2021-09-09 20:23:09.924110 : Epoch  7, Batch    850, Loss  0.855608, Average Loss  0.870102, Time  0.415419
2021-09-09 20:23:11.837775 : Epoch  7, Batch    851, Loss  0.913543, Average Loss  0.870408, Time  0.470293
2021-09-09 20:23:13.636137 : Epoch  7, Batch    852, Loss  0.854694, Average Loss  0.870304, Time  0.364278
2021-09-09 20:23:15.416822 : Epoch  7, Batch    853, Loss  0.857289, Average Loss  0.870206, Time  0.366364
2021-09-09 20:23:17.256766 : Epoch  7, Batch    854, Loss  0.904324, Average Loss  0.870282, Time  0.402777
2021-09-09 20:23:19.150923 : Epoch  7, Batch    855, Loss  0.882616, Average Loss  0.870338, Time  0.468082
2021-09-09 20:23:20.959775 : Epoch  7, Batch    856, Loss  0.856787, Average Loss  0.870201, Time  0.368993
2021-09-09 20:23:22.774776 : Epoch  7, Batch    857, Loss  0.885831, Average Loss  0.870276, Time  0.376633
2021-09-09 20:23:24.618926 : Epoch  7, Batch    858, Loss  0.843976, Average Loss  0.870181, Time  0.409348
2021-09-09 20:23:26.563841 : Epoch  7, Batch    859, Loss  0.876539, Average Loss  0.870119, Time  0.497409
2021-09-09 20:23:28.375447 : Epoch  7, Batch    860, Loss  0.891560, Average Loss  0.870236, Time  0.383854
2021-09-09 20:23:30.168919 : Epoch  7, Batch    861, Loss  0.882766, Average Loss  0.870370, Time  0.363983
2021-09-09 20:23:31.960963 : Epoch  7, Batch    862, Loss  0.868308, Average Loss  0.870313, Time  0.370819
2021-09-09 20:23:33.868766 : Epoch  7, Batch    863, Loss  0.899273, Average Loss  0.870498, Time  0.480355
2021-09-09 20:23:35.761766 : Epoch  7, Batch    864, Loss  0.876053, Average Loss  0.870471, Time  0.473663
2021-09-09 20:23:37.546768 : Epoch  7, Batch    865, Loss  0.869735, Average Loss  0.870288, Time  0.366590
2021-09-09 20:23:39.364828 : Epoch  7, Batch    866, Loss  0.871825, Average Loss  0.870289, Time  0.360677
2021-09-09 20:23:41.256843 : Epoch  7, Batch    867, Loss  0.866886, Average Loss  0.870382, Time  0.420964
2021-09-09 20:23:43.153777 : Epoch  7, Batch    868, Loss  0.909593, Average Loss  0.870663, Time  0.471584
2021-09-09 20:23:45.000767 : Epoch  7, Batch    869, Loss  0.861519, Average Loss  0.870755, Time  0.366979
2021-09-09 20:23:46.854125 : Epoch  7, Batch    870, Loss  0.858726, Average Loss  0.870809, Time  0.398450
2021-09-09 20:23:48.704887 : Epoch  7, Batch    871, Loss  0.861420, Average Loss  0.870753, Time  0.392507
2021-09-09 20:23:50.641863 : Epoch  7, Batch    872, Loss  0.890505, Average Loss  0.870901, Time  0.475170
2021-09-09 20:23:52.437765 : Epoch  7, Batch    873, Loss  0.887198, Average Loss  0.870876, Time  0.363299
2021-09-09 20:23:54.220781 : Epoch  7, Batch    874, Loss  0.861671, Average Loss  0.870834, Time  0.362777
2021-09-09 20:23:56.027786 : Epoch  7, Batch    875, Loss  0.880193, Average Loss  0.870843, Time  0.369112
2021-09-09 20:23:57.963766 : Epoch  7, Batch    876, Loss  0.861631, Average Loss  0.870803, Time  0.497697
2021-09-09 20:23:59.839130 : Epoch  7, Batch    877, Loss  0.900457, Average Loss  0.871023, Time  0.427648
2021-09-09 20:24:01.653781 : Epoch  7, Batch    878, Loss  0.888702, Average Loss  0.871183, Time  0.363404
2021-09-09 20:24:03.479846 : Epoch  7, Batch    879, Loss  0.844112, Average Loss  0.870939, Time  0.361266
2021-09-09 20:24:05.358768 : Epoch  7, Batch    880, Loss  0.865755, Average Loss  0.870908, Time  0.423057
2021-09-09 20:24:07.231780 : Epoch  7, Batch    881, Loss  0.895188, Average Loss  0.870880, Time  0.461403
2021-09-09 20:24:09.022101 : Epoch  7, Batch    882, Loss  0.870921, Average Loss  0.870836, Time  0.377343
2021-09-09 20:24:10.842107 : Epoch  7, Batch    883, Loss  0.881518, Average Loss  0.870951, Time  0.365394
2021-09-09 20:24:12.715978 : Epoch  7, Batch    884, Loss  0.822814, Average Loss  0.870742, Time  0.415382
2021-09-09 20:24:14.617081 : Epoch  7, Batch    885, Loss  0.852799, Average Loss  0.870613, Time  0.463601
2021-09-09 20:24:16.432777 : Epoch  7, Batch    886, Loss  0.900616, Average Loss  0.870815, Time  0.376124
2021-09-09 20:24:18.228772 : Epoch  7, Batch    887, Loss  0.877179, Average Loss  0.870793, Time  0.367453
2021-09-09 20:24:20.056023 : Epoch  7, Batch    888, Loss  0.878877, Average Loss  0.870837, Time  0.396379
2021-09-09 20:24:21.979773 : Epoch  7, Batch    889, Loss  0.871659, Average Loss  0.870661, Time  0.484435
2021-09-09 20:24:23.792424 : Epoch  7, Batch    890, Loss  0.880572, Average Loss  0.870855, Time  0.364549
2021-09-09 20:24:25.596782 : Epoch  7, Batch    891, Loss  0.896583, Average Loss  0.871038, Time  0.371449
2021-09-09 20:24:27.395947 : Epoch  7, Batch    892, Loss  0.866501, Average Loss  0.870978, Time  0.368792
2021-09-09 20:24:29.295810 : Epoch  7, Batch    893, Loss  0.878268, Average Loss  0.871109, Time  0.482647
2021-09-09 20:24:31.098778 : Epoch  7, Batch    894, Loss  0.877693, Average Loss  0.871235, Time  0.370088
2021-09-09 20:24:32.920324 : Epoch  7, Batch    895, Loss  0.856957, Average Loss  0.871046, Time  0.382058
2021-09-09 20:24:34.772250 : Epoch  7, Batch    896, Loss  0.893064, Average Loss  0.871250, Time  0.402528
2021-09-09 20:24:36.691541 : Epoch  7, Batch    897, Loss  0.862892, Average Loss  0.871222, Time  0.501004
2021-09-09 20:24:38.502780 : Epoch  7, Batch    898, Loss  0.866409, Average Loss  0.871241, Time  0.363936
2021-09-09 20:24:40.281195 : Epoch  7, Batch    899, Loss  0.849504, Average Loss  0.871267, Time  0.363333
2021-09-09 20:24:42.134299 : Epoch  7, Batch    900, Loss  0.851331, Average Loss  0.871182, Time  0.403548
2021-09-09 20:24:44.052750 : Epoch  7, Batch    901, Loss  0.883384, Average Loss  0.871173, Time  0.491363
2021-09-09 20:24:45.898778 : Epoch  7, Batch    902, Loss  0.848734, Average Loss  0.870965, Time  0.362744
2021-09-09 20:24:47.711901 : Epoch  7, Batch    903, Loss  0.872090, Average Loss  0.870836, Time  0.371532
2021-09-09 20:24:49.543781 : Epoch  7, Batch    904, Loss  0.885864, Average Loss  0.870789, Time  0.386699
2021-09-09 20:24:51.442224 : Epoch  7, Batch    905, Loss  0.888498, Average Loss  0.870818, Time  0.455064
2021-09-09 20:24:53.258514 : Epoch  7, Batch    906, Loss  0.883092, Average Loss  0.870789, Time  0.371386
2021-09-09 20:24:55.064802 : Epoch  7, Batch    907, Loss  0.844728, Average Loss  0.870587, Time  0.364403
2021-09-09 20:24:56.874825 : Epoch  7, Batch    908, Loss  0.839462, Average Loss  0.870390, Time  0.396340
2021-09-09 20:24:58.795148 : Epoch  7, Batch    909, Loss  0.878053, Average Loss  0.870337, Time  0.476866
2021-09-09 20:25:00.624938 : Epoch  7, Batch    910, Loss  0.919739, Average Loss  0.870689, Time  0.377361
2021-09-09 20:25:02.464851 : Epoch  7, Batch    911, Loss  0.866761, Average Loss  0.870471, Time  0.395318
2021-09-09 20:25:04.304978 : Epoch  7, Batch    912, Loss  0.872875, Average Loss  0.870540, Time  0.402058
2021-09-09 20:25:06.210782 : Epoch  7, Batch    913, Loss  0.869134, Average Loss  0.870610, Time  0.487376
2021-09-09 20:25:08.017817 : Epoch  7, Batch    914, Loss  0.850985, Average Loss  0.870670, Time  0.358472
2021-09-09 20:25:09.836396 : Epoch  7, Batch    915, Loss  0.852275, Average Loss  0.870755, Time  0.360898
2021-09-09 20:25:11.657928 : Epoch  7, Batch    916, Loss  0.898578, Average Loss  0.870923, Time  0.367666
2021-09-09 20:25:13.538781 : Epoch  7, Batch    917, Loss  0.869645, Average Loss  0.870846, Time  0.469061
2021-09-09 20:25:15.343927 : Epoch  7, Batch    918, Loss  0.893119, Average Loss  0.871033, Time  0.363187
2021-09-09 20:25:17.149204 : Epoch  7, Batch    919, Loss  0.842597, Average Loss  0.870964, Time  0.361502
2021-09-09 20:25:19.000817 : Epoch  7, Batch    920, Loss  0.874650, Average Loss  0.870917, Time  0.393248
2021-09-09 20:25:20.935787 : Epoch  7, Batch    921, Loss  0.867958, Average Loss  0.870974, Time  0.467110
2021-09-09 20:25:22.856856 : Epoch  7, Batch    922, Loss  0.876118, Average Loss  0.871023, Time  0.421293
2021-09-09 20:25:24.675776 : Epoch  7, Batch    923, Loss  0.836545, Average Loss  0.870612, Time  0.370223
2021-09-09 20:25:26.491949 : Epoch  7, Batch    924, Loss  0.860992, Average Loss  0.870625, Time  0.364210
2021-09-09 20:25:28.384771 : Epoch  7, Batch    925, Loss  0.864681, Average Loss  0.870708, Time  0.436904
2021-09-09 20:25:30.326933 : Epoch  7, Batch    926, Loss  0.881354, Average Loss  0.870793, Time  0.474796
2021-09-09 20:25:32.163564 : Epoch  7, Batch    927, Loss  0.892472, Average Loss  0.870965, Time  0.391870
2021-09-09 20:25:33.983406 : Epoch  7, Batch    928, Loss  0.897069, Average Loss  0.871123, Time  0.373018
2021-09-09 20:25:35.808784 : Epoch  7, Batch    929, Loss  0.867353, Average Loss  0.871257, Time  0.396448
2021-09-09 20:25:37.716767 : Epoch  7, Batch    930, Loss  0.861008, Average Loss  0.871260, Time  0.473809
2021-09-09 20:25:39.571113 : Epoch  7, Batch    931, Loss  0.841239, Average Loss  0.871118, Time  0.385228
2021-09-09 20:25:41.388886 : Epoch  7, Batch    932, Loss  0.862109, Average Loss  0.871106, Time  0.369044
2021-09-09 20:25:43.217039 : Epoch  7, Batch    933, Loss  0.840259, Average Loss  0.870882, Time  0.392755
2021-09-09 20:25:45.103933 : Epoch  7, Batch    934, Loss  0.840719, Average Loss  0.870694, Time  0.460792
2021-09-09 20:30:36.564874 : CheckPoint: Validation Loss  0.00059903, Best Loss  0.00056427
2021-09-09 20:30:38.372076 : Epoch  7, Batch    935, Loss  0.878043, Average Loss  0.870666, Time  0.357051
2021-09-09 20:30:40.205580 : Epoch  7, Batch    936, Loss  0.870250, Average Loss  0.870653, Time  0.387145
2021-09-09 20:30:42.097815 : Epoch  7, Batch    937, Loss  0.863642, Average Loss  0.870678, Time  0.462986
2021-09-09 20:30:43.921373 : Epoch  7, Batch    938, Loss  0.862920, Average Loss  0.870466, Time  0.387108
2021-09-09 20:30:45.688698 : Epoch  7, Batch    939, Loss  0.863552, Average Loss  0.870450, Time  0.362219
2021-09-09 20:30:47.514124 : Epoch  7, Batch    940, Loss  0.873361, Average Loss  0.870493, Time  0.404819
2021-09-09 20:30:49.436564 : Epoch  7, Batch    941, Loss  0.892320, Average Loss  0.870584, Time  0.472527
2021-09-09 20:30:51.318779 : Epoch  7, Batch    942, Loss  0.882400, Average Loss  0.870610, Time  0.411169
2021-09-09 20:30:53.107775 : Epoch  7, Batch    943, Loss  0.865581, Average Loss  0.870628, Time  0.365718
2021-09-09 20:30:54.950643 : Epoch  7, Batch    944, Loss  0.867390, Average Loss  0.870584, Time  0.378752
2021-09-09 20:30:56.873672 : Epoch  7, Batch    945, Loss  0.879120, Average Loss  0.870716, Time  0.488140
2021-09-09 20:30:58.756186 : Epoch  7, Batch    946, Loss  0.860780, Average Loss  0.870727, Time  0.467309
2021-09-09 20:31:00.565291 : Epoch  7, Batch    947, Loss  0.878964, Average Loss  0.870759, Time  0.385698
2021-09-09 20:31:02.374776 : Epoch  7, Batch    948, Loss  0.841585, Average Loss  0.870468, Time  0.365376
2021-09-09 20:31:04.189641 : Epoch  7, Batch    949, Loss  0.882141, Average Loss  0.870676, Time  0.395705
2021-09-09 20:31:06.119129 : Epoch  7, Batch    950, Loss  0.843207, Average Loss  0.870499, Time  0.474846
2021-09-09 20:31:07.900120 : Epoch  7, Batch    951, Loss  0.838560, Average Loss  0.870411, Time  0.367335
2021-09-09 20:31:09.689890 : Epoch  7, Batch    952, Loss  0.836907, Average Loss  0.870115, Time  0.361640
2021-09-09 20:31:11.525301 : Epoch  7, Batch    953, Loss  0.867495, Average Loss  0.869912, Time  0.389406
2021-09-09 20:31:13.413982 : Epoch  7, Batch    954, Loss  0.871193, Average Loss  0.869951, Time  0.464454
2021-09-09 20:31:15.201669 : Epoch  7, Batch    955, Loss  0.872399, Average Loss  0.870007, Time  0.368335
2021-09-09 20:31:17.013208 : Epoch  7, Batch    956, Loss  0.853298, Average Loss  0.869894, Time  0.364172
2021-09-09 20:31:18.838764 : Epoch  7, Batch    957, Loss  0.869725, Average Loss  0.869873, Time  0.412511
2021-09-09 20:31:20.739764 : Epoch  7, Batch    958, Loss  0.843460, Average Loss  0.869664, Time  0.462820
2021-09-09 20:31:22.540768 : Epoch  7, Batch    959, Loss  0.867872, Average Loss  0.869648, Time  0.366043
2021-09-09 20:31:24.324581 : Epoch  7, Batch    960, Loss  0.862471, Average Loss  0.869578, Time  0.363431
2021-09-09 20:31:26.133779 : Epoch  7, Batch    961, Loss  0.852464, Average Loss  0.869634, Time  0.387105
2021-09-09 20:31:28.055849 : Epoch  7, Batch    962, Loss  0.843541, Average Loss  0.869613, Time  0.457456
2021-09-09 20:31:29.850766 : Epoch  7, Batch    963, Loss  0.862350, Average Loss  0.869580, Time  0.343062
2021-09-09 20:31:31.669767 : Epoch  7, Batch    964, Loss  0.877595, Average Loss  0.869607, Time  0.362923
2021-09-09 20:31:33.490785 : Epoch  7, Batch    965, Loss  0.871168, Average Loss  0.869692, Time  0.363278
2021-09-09 20:31:35.373279 : Epoch  7, Batch    966, Loss  0.854513, Average Loss  0.869636, Time  0.463499
2021-09-09 20:31:37.165133 : Epoch  7, Batch    967, Loss  0.855921, Average Loss  0.869541, Time  0.362202
2021-09-09 20:31:38.973767 : Epoch  7, Batch    968, Loss  0.870236, Average Loss  0.869662, Time  0.362036
2021-09-09 20:31:40.807941 : Epoch  7, Batch    969, Loss  0.874028, Average Loss  0.869567, Time  0.389775
2021-09-09 20:31:42.691767 : Epoch  7, Batch    970, Loss  0.854420, Average Loss  0.869373, Time  0.464440
2021-09-09 20:31:44.500112 : Epoch  7, Batch    971, Loss  0.856456, Average Loss  0.869241, Time  0.362550
2021-09-09 20:31:46.294773 : Epoch  7, Batch    972, Loss  0.860177, Average Loss  0.869178, Time  0.362103
2021-09-09 20:31:48.132778 : Epoch  7, Batch    973, Loss  0.852084, Average Loss  0.869014, Time  0.395477
2021-09-09 20:31:50.021301 : Epoch  7, Batch    974, Loss  0.877002, Average Loss  0.869013, Time  0.461624
2021-09-09 20:31:51.809639 : Epoch  7, Batch    975, Loss  0.873270, Average Loss  0.868986, Time  0.366401
2021-09-09 20:31:53.601763 : Epoch  7, Batch    976, Loss  0.903171, Average Loss  0.869208, Time  0.363130
2021-09-09 20:31:55.481761 : Epoch  7, Batch    977, Loss  0.876844, Average Loss  0.869127, Time  0.408467
2021-09-09 20:31:57.382785 : Epoch  7, Batch    978, Loss  0.879526, Average Loss  0.869163, Time  0.466466
2021-09-09 20:31:59.279789 : Epoch  7, Batch    979, Loss  0.795992, Average Loss  0.868880, Time  0.408070
2021-09-09 20:32:01.091767 : Epoch  7, Batch    980, Loss  0.883847, Average Loss  0.868854, Time  0.371330
2021-09-09 20:32:02.921197 : Epoch  7, Batch    981, Loss  0.870050, Average Loss  0.868831, Time  0.391229
2021-09-09 20:32:04.813590 : Epoch  7, Batch    982, Loss  0.875860, Average Loss  0.868802, Time  0.455359
2021-09-09 20:32:06.708785 : Epoch  7, Batch    983, Loss  0.815363, Average Loss  0.868444, Time  0.462111
2021-09-09 20:32:08.485771 : Epoch  7, Batch    984, Loss  0.869733, Average Loss  0.868391, Time  0.365220
2021-09-09 20:32:10.312766 : Epoch  7, Batch    985, Loss  0.869380, Average Loss  0.868175, Time  0.362772
2021-09-09 20:32:12.147439 : Epoch  7, Batch    986, Loss  0.879764, Average Loss  0.868170, Time  0.406627
2021-09-09 20:32:14.017836 : Epoch  7, Batch    987, Loss  0.865147, Average Loss  0.868015, Time  0.461062
2021-09-09 20:32:15.881177 : Epoch  7, Batch    988, Loss  0.843030, Average Loss  0.867919, Time  0.387884
2021-09-09 20:32:17.721039 : Epoch  7, Batch    989, Loss  0.871913, Average Loss  0.867825, Time  0.369215
2021-09-09 20:32:19.537291 : Epoch  7, Batch    990, Loss  0.870684, Average Loss  0.867830, Time  0.369204
2021-09-09 20:32:21.428184 : Epoch  7, Batch    991, Loss  0.860385, Average Loss  0.867872, Time  0.464332
2021-09-09 20:32:23.254777 : Epoch  7, Batch    992, Loss  0.832322, Average Loss  0.867754, Time  0.370830
2021-09-09 20:32:25.082936 : Epoch  7, Batch    993, Loss  0.850578, Average Loss  0.867750, Time  0.367867
2021-09-09 20:32:26.915204 : Epoch  7, Batch    994, Loss  0.874750, Average Loss  0.867738, Time  0.376951
2021-09-09 20:32:28.872778 : Epoch  7, Batch    995, Loss  0.871774, Average Loss  0.867798, Time  0.467331
2021-09-09 20:32:30.741581 : Epoch  7, Batch    996, Loss  0.833614, Average Loss  0.867561, Time  0.413904
2021-09-09 20:32:32.558832 : Epoch  7, Batch    997, Loss  0.880366, Average Loss  0.867598, Time  0.363166
2021-09-09 20:32:34.343973 : Epoch  7, Batch    998, Loss  0.859950, Average Loss  0.867768, Time  0.365156
2021-09-09 20:32:36.274780 : Epoch  7, Batch    999, Loss  0.860530, Average Loss  0.867789, Time  0.472407
2021-09-09 20:32:38.230779 : Epoch  7, Batch   1000, Loss  0.869722, Average Loss  0.867737, Time  0.467827
2021-09-09 20:32:40.014364 : Epoch  7, Batch   1001, Loss  0.872320, Average Loss  0.867756, Time  0.356648
2021-09-09 20:32:41.812783 : Epoch  7, Batch   1002, Loss  0.863502, Average Loss  0.867874, Time  0.373639
2021-09-09 20:32:43.639775 : Epoch  7, Batch   1003, Loss  0.898444, Average Loss  0.867969, Time  0.381427
2021-09-09 20:32:45.559959 : Epoch  7, Batch   1004, Loss  0.857963, Average Loss  0.867762, Time  0.476146
2021-09-09 20:32:47.387761 : Epoch  7, Batch   1005, Loss  0.881022, Average Loss  0.867796, Time  0.385019
2021-09-09 20:32:49.218146 : Epoch  7, Batch   1006, Loss  0.858608, Average Loss  0.867715, Time  0.384507
2021-09-09 20:32:51.021873 : Epoch  7, Batch   1007, Loss  0.857182, Average Loss  0.867714, Time  0.360193
2021-09-09 20:32:52.910820 : Epoch  7, Batch   1008, Loss  0.907496, Average Loss  0.867755, Time  0.464769
2021-09-09 20:32:54.725862 : Epoch  7, Batch   1009, Loss  0.854023, Average Loss  0.867578, Time  0.365205
2021-09-09 20:32:56.529760 : Epoch  7, Batch   1010, Loss  0.827833, Average Loss  0.867436, Time  0.364811
2021-09-09 20:32:58.362776 : Epoch  7, Batch   1011, Loss  0.865689, Average Loss  0.867375, Time  0.374924
2021-09-09 20:33:00.278765 : Epoch  7, Batch   1012, Loss  0.847755, Average Loss  0.867345, Time  0.460133
2021-09-09 20:33:02.086778 : Epoch  7, Batch   1013, Loss  0.872879, Average Loss  0.867339, Time  0.358292
2021-09-09 20:33:03.895776 : Epoch  7, Batch   1014, Loss  0.884621, Average Loss  0.867361, Time  0.370996
2021-09-09 20:33:05.741944 : Epoch  7, Batch   1015, Loss  0.852777, Average Loss  0.867323, Time  0.371657
2021-09-09 20:33:07.638765 : Epoch  7, Batch   1016, Loss  0.886312, Average Loss  0.867476, Time  0.470231
2021-09-09 20:33:09.442217 : Epoch  7, Batch   1017, Loss  0.871739, Average Loss  0.867546, Time  0.368280
2021-09-09 20:33:11.244779 : Epoch  7, Batch   1018, Loss  0.876177, Average Loss  0.867676, Time  0.365417
2021-09-09 20:33:13.064965 : Epoch  7, Batch   1019, Loss  0.871279, Average Loss  0.867661, Time  0.372123
2021-09-09 20:33:14.954783 : Epoch  7, Batch   1020, Loss  0.854862, Average Loss  0.867708, Time  0.467963
2021-09-09 20:33:16.759948 : Epoch  7, Batch   1021, Loss  0.891680, Average Loss  0.867653, Time  0.358130
2021-09-09 20:33:18.556777 : Epoch  7, Batch   1022, Loss  0.890727, Average Loss  0.867708, Time  0.364920
2021-09-09 20:33:20.360185 : Epoch  7, Batch   1023, Loss  0.892774, Average Loss  0.867988, Time  0.372410
2021-09-09 20:33:22.233797 : Epoch  7, Batch   1024, Loss  0.890209, Average Loss  0.868006, Time  0.459764
2021-09-09 20:33:24.021766 : Epoch  7, Batch   1025, Loss  0.886391, Average Loss  0.868058, Time  0.373466
2021-09-09 20:33:25.829857 : Epoch  7, Batch   1026, Loss  0.881572, Average Loss  0.868229, Time  0.363942
2021-09-09 20:33:27.668777 : Epoch  7, Batch   1027, Loss  0.890453, Average Loss  0.868376, Time  0.407536
2021-09-09 20:33:29.616769 : Epoch  7, Batch   1028, Loss  0.865669, Average Loss  0.868443, Time  0.468369
2021-09-09 20:33:31.413773 : Epoch  7, Batch   1029, Loss  0.846583, Average Loss  0.868236, Time  0.364119
2021-09-09 20:33:33.213953 : Epoch  7, Batch   1030, Loss  0.859657, Average Loss  0.868392, Time  0.375679
2021-09-09 20:33:35.026984 : Epoch  7, Batch   1031, Loss  0.872520, Average Loss  0.868467, Time  0.372844
2021-09-09 20:33:36.920868 : Epoch  7, Batch   1032, Loss  0.902981, Average Loss  0.868579, Time  0.459458
2021-09-09 20:33:38.807783 : Epoch  7, Batch   1033, Loss  0.871811, Average Loss  0.868529, Time  0.363367
2021-09-09 20:33:40.627040 : Epoch  7, Batch   1034, Loss  0.898235, Average Loss  0.868762, Time  0.362176
2021-09-09 20:38:32.026408 : CheckPoint: Validation Loss  0.00061295, Best Loss  0.00056427
2021-09-09 20:38:33.821770 : Epoch  7, Batch   1035, Loss  0.855257, Average Loss  0.868693, Time  0.364729
2021-09-09 20:38:35.631786 : Epoch  7, Batch   1036, Loss  0.890608, Average Loss  0.868816, Time  0.369046
2021-09-09 20:38:37.474781 : Epoch  7, Batch   1037, Loss  0.877759, Average Loss  0.868941, Time  0.404530
2021-09-09 20:38:39.392830 : Epoch  7, Batch   1038, Loss  0.852113, Average Loss  0.868757, Time  0.463732
2021-09-09 20:38:41.167840 : Epoch  7, Batch   1039, Loss  0.863657, Average Loss  0.868722, Time  0.367100
2021-09-09 20:38:42.966803 : Epoch  7, Batch   1040, Loss  0.879322, Average Loss  0.868770, Time  0.361378
2021-09-09 20:38:44.776768 : Epoch  7, Batch   1041, Loss  0.876506, Average Loss  0.868834, Time  0.394152
2021-09-09 20:38:46.711784 : Epoch  7, Batch   1042, Loss  0.882631, Average Loss  0.868834, Time  0.469319
2021-09-09 20:38:48.523774 : Epoch  7, Batch   1043, Loss  0.876717, Average Loss  0.868899, Time  0.368268
2021-09-09 20:38:50.383773 : Epoch  7, Batch   1044, Loss  0.876499, Average Loss  0.868916, Time  0.372505
2021-09-09 20:38:52.152779 : Epoch  7, Batch   1045, Loss  0.870059, Average Loss  0.868846, Time  0.363287
2021-09-09 20:38:54.052796 : Epoch  7, Batch   1046, Loss  0.871000, Average Loss  0.868858, Time  0.478867
2021-09-09 20:38:55.853774 : Epoch  7, Batch   1047, Loss  0.857223, Average Loss  0.868946, Time  0.371484
2021-09-09 20:38:57.683820 : Epoch  7, Batch   1048, Loss  0.863315, Average Loss  0.869098, Time  0.372205
2021-09-09 20:38:59.502778 : Epoch  7, Batch   1049, Loss  0.873988, Average Loss  0.869216, Time  0.389303
2021-09-09 20:39:01.465887 : Epoch  7, Batch   1050, Loss  0.873266, Average Loss  0.869304, Time  0.494658
2021-09-09 20:39:03.326966 : Epoch  7, Batch   1051, Loss  0.867434, Average Loss  0.869073, Time  0.418172
2021-09-09 20:39:05.155767 : Epoch  7, Batch   1052, Loss  0.871791, Average Loss  0.869159, Time  0.363974
2021-09-09 20:39:06.966765 : Epoch  7, Batch   1053, Loss  0.858265, Average Loss  0.869164, Time  0.362693
2021-09-09 20:39:08.843768 : Epoch  7, Batch   1054, Loss  0.865198, Average Loss  0.868968, Time  0.430657
2021-09-09 20:39:10.749375 : Epoch  7, Batch   1055, Loss  0.852470, Average Loss  0.868817, Time  0.463634
2021-09-09 20:39:12.513843 : Epoch  7, Batch   1056, Loss  0.871337, Average Loss  0.868890, Time  0.363446
2021-09-09 20:39:14.311232 : Epoch  7, Batch   1057, Loss  0.895616, Average Loss  0.868939, Time  0.365729
2021-09-09 20:39:16.143868 : Epoch  7, Batch   1058, Loss  0.896821, Average Loss  0.869203, Time  0.404592
2021-09-09 20:39:18.044089 : Epoch  7, Batch   1059, Loss  0.838613, Average Loss  0.869014, Time  0.462043
2021-09-09 20:39:19.881121 : Epoch  7, Batch   1060, Loss  0.891469, Average Loss  0.869013, Time  0.397377
2021-09-09 20:39:21.723077 : Epoch  7, Batch   1061, Loss  0.856587, Average Loss  0.868882, Time  0.391764
2021-09-09 20:39:23.526946 : Epoch  7, Batch   1062, Loss  0.857716, Average Loss  0.868829, Time  0.384986
2021-09-09 20:39:25.448764 : Epoch  7, Batch   1063, Loss  0.885237, Average Loss  0.868759, Time  0.461974
2021-09-09 20:39:27.282819 : Epoch  7, Batch   1064, Loss  0.895519, Average Loss  0.868857, Time  0.379473
2021-09-09 20:39:29.078866 : Epoch  7, Batch   1065, Loss  0.898399, Average Loss  0.869000, Time  0.358927
2021-09-09 20:39:30.909766 : Epoch  7, Batch   1066, Loss  0.873430, Average Loss  0.869008, Time  0.363733
2021-09-09 20:39:32.841780 : Epoch  7, Batch   1067, Loss  0.889837, Average Loss  0.869123, Time  0.463781
2021-09-09 20:39:34.612413 : Epoch  7, Batch   1068, Loss  0.854926, Average Loss  0.868849, Time  0.345821
2021-09-09 20:39:36.422766 : Epoch  7, Batch   1069, Loss  0.891101, Average Loss  0.868997, Time  0.363297
2021-09-09 20:39:38.262780 : Epoch  7, Batch   1070, Loss  0.836696, Average Loss  0.868887, Time  0.378093
2021-09-09 20:39:40.170774 : Epoch  7, Batch   1071, Loss  0.851536, Average Loss  0.868838, Time  0.483924
2021-09-09 20:39:42.013768 : Epoch  7, Batch   1072, Loss  0.869703, Average Loss  0.868734, Time  0.375905
2021-09-09 20:39:43.803768 : Epoch  7, Batch   1073, Loss  0.887857, Average Loss  0.868737, Time  0.374753
2021-09-09 20:39:45.643771 : Epoch  7, Batch   1074, Loss  0.853301, Average Loss  0.868695, Time  0.378664
2021-09-09 20:39:47.520485 : Epoch  7, Batch   1075, Loss  0.859173, Average Loss  0.868590, Time  0.463424
2021-09-09 20:39:49.455440 : Epoch  7, Batch   1076, Loss  0.850341, Average Loss  0.868534, Time  0.491367
2021-09-09 20:39:51.244875 : Epoch  7, Batch   1077, Loss  0.874555, Average Loss  0.868404, Time  0.365921
2021-09-09 20:39:53.043779 : Epoch  7, Batch   1078, Loss  0.849351, Average Loss  0.868207, Time  0.366258
2021-09-09 20:39:54.885232 : Epoch  7, Batch   1079, Loss  0.878838, Average Loss  0.868381, Time  0.414742
2021-09-09 20:39:56.785778 : Epoch  7, Batch   1080, Loss  0.831220, Average Loss  0.868208, Time  0.468247
2021-09-09 20:39:58.583783 : Epoch  7, Batch   1081, Loss  0.869159, Average Loss  0.868078, Time  0.361547
2021-09-09 20:40:00.408792 : Epoch  7, Batch   1082, Loss  0.867729, Average Loss  0.868062, Time  0.364341
2021-09-09 20:40:02.231815 : Epoch  7, Batch   1083, Loss  0.834757, Average Loss  0.867828, Time  0.389516
2021-09-09 20:40:04.182152 : Epoch  7, Batch   1084, Loss  0.849733, Average Loss  0.867963, Time  0.495399
2021-09-09 20:40:05.985779 : Epoch  7, Batch   1085, Loss  0.839940, Average Loss  0.867899, Time  0.369401
2021-09-09 20:40:07.779782 : Epoch  7, Batch   1086, Loss  0.838728, Average Loss  0.867589, Time  0.363626
2021-09-09 20:40:09.599923 : Epoch  7, Batch   1087, Loss  0.856961, Average Loss  0.867488, Time  0.386458
2021-09-09 20:40:11.528896 : Epoch  7, Batch   1088, Loss  0.868566, Average Loss  0.867437, Time  0.460367
2021-09-09 20:40:13.314082 : Epoch  7, Batch   1089, Loss  0.870523, Average Loss  0.867431, Time  0.362077
2021-09-09 20:40:15.132867 : Epoch  7, Batch   1090, Loss  0.872857, Average Loss  0.867392, Time  0.365800
2021-09-09 20:40:16.953792 : Epoch  7, Batch   1091, Loss  0.889205, Average Loss  0.867355, Time  0.386183
2021-09-09 20:40:18.847307 : Epoch  7, Batch   1092, Loss  0.866848, Average Loss  0.867357, Time  0.451998
2021-09-09 20:40:20.655091 : Epoch  7, Batch   1093, Loss  0.871463, Average Loss  0.867323, Time  0.364296
2021-09-09 20:40:22.443883 : Epoch  7, Batch   1094, Loss  0.863968, Average Loss  0.867254, Time  0.362038
2021-09-09 20:40:24.295766 : Epoch  7, Batch   1095, Loss  0.874334, Average Loss  0.867341, Time  0.424296
2021-09-09 20:40:26.209771 : Epoch  7, Batch   1096, Loss  0.845911, Average Loss  0.867106, Time  0.489094
2021-09-09 20:40:28.036821 : Epoch  7, Batch   1097, Loss  0.880829, Average Loss  0.867195, Time  0.377144
2021-09-09 20:40:29.842052 : Epoch  7, Batch   1098, Loss  0.840702, Average Loss  0.867067, Time  0.360437
2021-09-09 20:40:31.690768 : Epoch  7, Batch   1099, Loss  0.852911, Average Loss  0.867084, Time  0.401014
2021-09-09 20:40:33.616771 : Epoch  7, Batch   1100, Loss  0.868625, Average Loss  0.867170, Time  0.460473
2021-09-09 20:40:35.450199 : Epoch  7, Batch   1101, Loss  0.870981, Average Loss  0.867108, Time  0.389521
2021-09-09 20:40:37.271122 : Epoch  7, Batch   1102, Loss  0.831477, Average Loss  0.867022, Time  0.372560
2021-09-09 20:40:39.083132 : Epoch  7, Batch   1103, Loss  0.849906, Average Loss  0.866911, Time  0.382973
2021-09-09 20:40:40.997480 : Epoch  7, Batch   1104, Loss  0.862238, Average Loss  0.866793, Time  0.469599
2021-09-09 20:40:42.787769 : Epoch  7, Batch   1105, Loss  0.888188, Average Loss  0.866791, Time  0.362793
2021-09-09 20:40:44.588018 : Epoch  7, Batch   1106, Loss  0.869511, Average Loss  0.866723, Time  0.364620
2021-09-09 20:40:46.400781 : Epoch  7, Batch   1107, Loss  0.866233, Average Loss  0.866831, Time  0.398013
2021-09-09 20:40:48.293971 : Epoch  7, Batch   1108, Loss  0.847657, Average Loss  0.866872, Time  0.465188
2021-09-09 20:40:50.131764 : Epoch  7, Batch   1109, Loss  0.874964, Average Loss  0.866856, Time  0.363363
2021-09-09 20:40:51.940115 : Epoch  7, Batch   1110, Loss  0.875532, Average Loss  0.866635, Time  0.379013
2021-09-09 20:40:53.747763 : Epoch  7, Batch   1111, Loss  0.869386, Average Loss  0.866649, Time  0.373369
2021-09-09 20:40:55.657819 : Epoch  7, Batch   1112, Loss  0.864117, Average Loss  0.866605, Time  0.486493
2021-09-09 20:40:57.481101 : Epoch  7, Batch   1113, Loss  0.848904, Average Loss  0.866504, Time  0.374936
2021-09-09 20:40:59.286764 : Epoch  7, Batch   1114, Loss  0.855299, Average Loss  0.866525, Time  0.365703
2021-09-09 20:41:01.106904 : Epoch  7, Batch   1115, Loss  0.856741, Average Loss  0.866548, Time  0.372863
2021-09-09 20:41:02.996764 : Epoch  7, Batch   1116, Loss  0.868293, Average Loss  0.866396, Time  0.463131
2021-09-09 20:41:04.824765 : Epoch  7, Batch   1117, Loss  0.862357, Average Loss  0.866360, Time  0.364696
2021-09-09 20:41:06.640784 : Epoch  7, Batch   1118, Loss  0.863010, Average Loss  0.866209, Time  0.365282
2021-09-09 20:41:08.470101 : Epoch  7, Batch   1119, Loss  0.868913, Average Loss  0.866341, Time  0.402069
2021-09-09 20:41:10.346787 : Epoch  7, Batch   1120, Loss  0.888569, Average Loss  0.866410, Time  0.445761
2021-09-09 20:41:12.176591 : Epoch  7, Batch   1121, Loss  0.868670, Average Loss  0.866414, Time  0.374707
2021-09-09 20:41:13.971766 : Epoch  7, Batch   1122, Loss  0.875608, Average Loss  0.866411, Time  0.366419
2021-09-09 20:41:15.828969 : Epoch  7, Batch   1123, Loss  0.847099, Average Loss  0.866464, Time  0.432232
2021-09-09 20:41:17.719885 : Epoch  7, Batch   1124, Loss  0.867800, Average Loss  0.866498, Time  0.464742
2021-09-09 20:41:19.528025 : Epoch  7, Batch   1125, Loss  0.859289, Average Loss  0.866471, Time  0.368789
2021-09-09 20:41:21.309893 : Epoch  7, Batch   1126, Loss  0.867595, Average Loss  0.866402, Time  0.358865
2021-09-09 20:41:23.162784 : Epoch  7, Batch   1127, Loss  0.851929, Average Loss  0.866200, Time  0.413294
2021-09-09 20:41:25.095775 : Epoch  7, Batch   1128, Loss  0.896676, Average Loss  0.866198, Time  0.475281
2021-09-09 20:41:26.914775 : Epoch  7, Batch   1129, Loss  0.841469, Average Loss  0.866068, Time  0.369968
2021-09-09 20:41:28.701791 : Epoch  7, Batch   1130, Loss  0.856263, Average Loss  0.866045, Time  0.363601
2021-09-09 20:41:30.559776 : Epoch  7, Batch   1131, Loss  0.893766, Average Loss  0.866307, Time  0.436393
2021-09-09 20:41:32.462830 : Epoch  7, Batch   1132, Loss  0.875824, Average Loss  0.866376, Time  0.461709
2021-09-09 20:41:34.263794 : Epoch  7, Batch   1133, Loss  0.865483, Average Loss  0.866502, Time  0.364812
2021-09-09 20:41:36.065727 : Epoch  7, Batch   1134, Loss  0.833890, Average Loss  0.866468, Time  0.377358
2021-09-09 20:46:26.883720 : CheckPoint: Validation Loss  0.00060321, Best Loss  0.00056427
2021-09-09 20:46:28.697787 : Epoch  7, Batch   1135, Loss  0.854933, Average Loss  0.866352, Time  0.377374
2021-09-09 20:46:30.523780 : Epoch  7, Batch   1136, Loss  0.872575, Average Loss  0.866364, Time  0.373669
2021-09-09 20:46:32.403782 : Epoch  7, Batch   1137, Loss  0.855329, Average Loss  0.866322, Time  0.469540
2021-09-09 20:46:34.173657 : Epoch  7, Batch   1138, Loss  0.837162, Average Loss  0.866193, Time  0.361450
2021-09-09 20:46:35.940777 : Epoch  7, Batch   1139, Loss  0.863468, Average Loss  0.866193, Time  0.360645
2021-09-09 20:46:37.749128 : Epoch  7, Batch   1140, Loss  0.885162, Average Loss  0.866252, Time  0.360624
2021-09-09 20:46:39.635791 : Epoch  7, Batch   1141, Loss  0.914922, Average Loss  0.866365, Time  0.462525
2021-09-09 20:46:41.449130 : Epoch  7, Batch   1142, Loss  0.873735, Average Loss  0.866322, Time  0.384503
2021-09-09 20:46:43.268595 : Epoch  7, Batch   1143, Loss  0.855284, Average Loss  0.866270, Time  0.363872
2021-09-09 20:46:45.097767 : Epoch  7, Batch   1144, Loss  0.877531, Average Loss  0.866321, Time  0.390217
2021-09-09 20:46:47.009141 : Epoch  7, Batch   1145, Loss  0.886481, Average Loss  0.866358, Time  0.469445
2021-09-09 20:46:48.858779 : Epoch  7, Batch   1146, Loss  0.871252, Average Loss  0.866410, Time  0.401106
2021-09-09 20:46:50.674915 : Epoch  7, Batch   1147, Loss  0.866095, Average Loss  0.866346, Time  0.374249
2021-09-09 20:46:52.450781 : Epoch  7, Batch   1148, Loss  0.885833, Average Loss  0.866567, Time  0.367503
2021-09-09 20:46:54.350739 : Epoch  7, Batch   1149, Loss  0.828988, Average Loss  0.866301, Time  0.479115
2021-09-09 20:46:56.172780 : Epoch  7, Batch   1150, Loss  0.878769, Average Loss  0.866479, Time  0.383151
2021-09-09 20:46:57.944882 : Epoch  7, Batch   1151, Loss  0.865151, Average Loss  0.866612, Time  0.359837
2021-09-09 20:46:59.755295 : Epoch  7, Batch   1152, Loss  0.913254, Average Loss  0.866994, Time  0.390009
2021-09-09 20:47:01.622191 : Epoch  7, Batch   1153, Loss  0.855068, Average Loss  0.866932, Time  0.455454
2021-09-09 20:47:03.425346 : Epoch  7, Batch   1154, Loss  0.844582, Average Loss  0.866799, Time  0.370738
2021-09-09 20:47:05.212136 : Epoch  7, Batch   1155, Loss  0.867903, Average Loss  0.866776, Time  0.375565
2021-09-09 20:47:07.060780 : Epoch  7, Batch   1156, Loss  0.881932, Average Loss  0.866919, Time  0.414477
2021-09-09 20:47:08.954136 : Epoch  7, Batch   1157, Loss  0.869109, Average Loss  0.866916, Time  0.463097
2021-09-09 20:47:10.758782 : Epoch  7, Batch   1158, Loss  0.843571, Average Loss  0.866917, Time  0.376983
2021-09-09 20:47:12.552774 : Epoch  7, Batch   1159, Loss  0.838509, Average Loss  0.866770, Time  0.367074
2021-09-09 20:47:14.369143 : Epoch  7, Batch   1160, Loss  0.855882, Average Loss  0.866737, Time  0.391743
2021-09-09 20:47:16.312766 : Epoch  7, Batch   1161, Loss  0.863923, Average Loss  0.866794, Time  0.490302
2021-09-09 20:47:18.193883 : Epoch  7, Batch   1162, Loss  0.869586, Average Loss  0.866924, Time  0.422452
2021-09-09 20:47:19.977977 : Epoch  7, Batch   1163, Loss  0.872120, Average Loss  0.866973, Time  0.368048
2021-09-09 20:47:21.802789 : Epoch  7, Batch   1164, Loss  0.885556, Average Loss  0.867013, Time  0.364329
2021-09-09 20:47:23.702783 : Epoch  7, Batch   1165, Loss  0.863831, Average Loss  0.866976, Time  0.466512
2021-09-09 20:47:25.620769 : Epoch  7, Batch   1166, Loss  0.874085, Average Loss  0.867074, Time  0.467385
2021-09-09 20:47:27.423042 : Epoch  7, Batch   1167, Loss  0.878636, Average Loss  0.867188, Time  0.364699
2021-09-09 20:47:29.232211 : Epoch  7, Batch   1168, Loss  0.880506, Average Loss  0.867239, Time  0.363650
2021-09-09 20:47:31.057958 : Epoch  7, Batch   1169, Loss  0.861981, Average Loss  0.867179, Time  0.401369
2021-09-09 20:47:32.960889 : Epoch  7, Batch   1170, Loss  0.888788, Average Loss  0.867351, Time  0.473458
2021-09-09 20:47:34.759361 : Epoch  7, Batch   1171, Loss  0.888457, Average Loss  0.867511, Time  0.363356
2021-09-09 20:47:36.537775 : Epoch  7, Batch   1172, Loss  0.872473, Average Loss  0.867572, Time  0.362874
2021-09-09 20:47:38.358312 : Epoch  7, Batch   1173, Loss  0.881767, Average Loss  0.867721, Time  0.401232
2021-09-09 20:47:40.319059 : Epoch  7, Batch   1174, Loss  0.859054, Average Loss  0.867631, Time  0.484952
2021-09-09 20:47:42.145800 : Epoch  7, Batch   1175, Loss  0.862504, Average Loss  0.867577, Time  0.383530
2021-09-09 20:47:43.937767 : Epoch  7, Batch   1176, Loss  0.853300, Average Loss  0.867328, Time  0.366065
2021-09-09 20:47:45.768768 : Epoch  7, Batch   1177, Loss  0.859115, Average Loss  0.867239, Time  0.374038
2021-09-09 20:47:47.664837 : Epoch  7, Batch   1178, Loss  0.879284, Average Loss  0.867238, Time  0.468660
2021-09-09 20:47:49.440322 : Epoch  7, Batch   1179, Loss  0.888138, Average Loss  0.867699, Time  0.366774
2021-09-09 20:47:51.233598 : Epoch  7, Batch   1180, Loss  0.872185, Average Loss  0.867640, Time  0.363758
2021-09-09 20:47:53.077841 : Epoch  7, Batch   1181, Loss  0.864772, Average Loss  0.867614, Time  0.426747
2021-09-09 20:47:54.999131 : Epoch  7, Batch   1182, Loss  0.855308, Average Loss  0.867511, Time  0.477175
2021-09-09 20:47:56.800699 : Epoch  7, Batch   1183, Loss  0.886708, Average Loss  0.867868, Time  0.357244
2021-09-09 20:47:58.587107 : Epoch  7, Batch   1184, Loss  0.882317, Average Loss  0.867931, Time  0.378056
2021-09-09 20:48:00.420773 : Epoch  7, Batch   1185, Loss  0.857261, Average Loss  0.867870, Time  0.384303
2021-09-09 20:48:02.312766 : Epoch  7, Batch   1186, Loss  0.878774, Average Loss  0.867865, Time  0.456999
2021-09-09 20:48:04.092447 : Epoch  7, Batch   1187, Loss  0.876623, Average Loss  0.867923, Time  0.367356
2021-09-09 20:48:05.881761 : Epoch  7, Batch   1188, Loss  0.829607, Average Loss  0.867856, Time  0.363712
2021-09-09 20:48:07.723823 : Epoch  7, Batch   1189, Loss  0.851519, Average Loss  0.867754, Time  0.408127
2021-09-09 20:48:09.589198 : Epoch  7, Batch   1190, Loss  0.855042, Average Loss  0.867675, Time  0.459533
2021-09-09 20:48:11.392553 : Epoch  7, Batch   1191, Loss  0.860851, Average Loss  0.867678, Time  0.370496
2021-09-09 20:48:13.188373 : Epoch  7, Batch   1192, Loss  0.871216, Average Loss  0.867872, Time  0.372341
2021-09-09 20:48:15.014973 : Epoch  7, Batch   1193, Loss  0.893763, Average Loss  0.868088, Time  0.421836
2021-09-09 20:48:16.922895 : Epoch  7, Batch   1194, Loss  0.879018, Average Loss  0.868109, Time  0.467756
2021-09-09 20:48:18.716095 : Epoch  7, Batch   1195, Loss  0.851246, Average Loss  0.868007, Time  0.366926
2021-09-09 20:48:20.486778 : Epoch  7, Batch   1196, Loss  0.889498, Average Loss  0.868286, Time  0.370017
2021-09-09 20:48:22.328814 : Epoch  7, Batch   1197, Loss  0.872221, Average Loss  0.868246, Time  0.423765
2021-09-09 20:48:24.205828 : Epoch  7, Batch   1198, Loss  0.886540, Average Loss  0.868378, Time  0.465069
2021-09-09 20:48:25.995994 : Epoch  7, Batch   1199, Loss  0.845452, Average Loss  0.868303, Time  0.369104
2021-09-09 20:48:27.830815 : Epoch  7, Batch   1200, Loss  0.884900, Average Loss  0.868379, Time  0.366068
2021-09-09 20:48:29.671051 : Epoch  7, Batch   1201, Loss  0.861466, Average Loss  0.868325, Time  0.413554
2021-09-09 20:48:31.583921 : Epoch  7, Batch   1202, Loss  0.853246, Average Loss  0.868273, Time  0.478539
2021-09-09 20:48:33.423991 : Epoch  7, Batch   1203, Loss  0.848873, Average Loss  0.868026, Time  0.369894
2021-09-09 20:48:35.237088 : Epoch  7, Batch   1204, Loss  0.861273, Average Loss  0.868042, Time  0.386399
2021-09-09 20:48:37.059875 : Epoch  7, Batch   1205, Loss  0.869351, Average Loss  0.867984, Time  0.381941
2021-09-09 20:48:38.942783 : Epoch  7, Batch   1206, Loss  0.864981, Average Loss  0.868016, Time  0.475041
2021-09-09 20:48:40.759050 : Epoch  7, Batch   1207, Loss  0.852759, Average Loss  0.867994, Time  0.380762
2021-09-09 20:48:42.547862 : Epoch  7, Batch   1208, Loss  0.867633, Average Loss  0.867794, Time  0.365352
2021-09-09 20:48:44.369847 : Epoch  7, Batch   1209, Loss  0.874462, Average Loss  0.867896, Time  0.405176
2021-09-09 20:48:46.261783 : Epoch  7, Batch   1210, Loss  0.836004, Average Loss  0.867937, Time  0.469505
2021-09-09 20:48:48.100159 : Epoch  7, Batch   1211, Loss  0.853720, Average Loss  0.867877, Time  0.374660
2021-09-09 20:48:49.896776 : Epoch  7, Batch   1212, Loss  0.896348, Average Loss  0.868120, Time  0.373843
2021-09-09 20:48:51.705044 : Epoch  7, Batch   1213, Loss  0.892788, Average Loss  0.868220, Time  0.395646
2021-09-09 20:48:53.612286 : Epoch  7, Batch   1214, Loss  0.869448, Average Loss  0.868144, Time  0.467840
2021-09-09 20:48:55.448125 : Epoch  7, Batch   1215, Loss  0.853092, Average Loss  0.868146, Time  0.369799
2021-09-09 20:48:57.245489 : Epoch  7, Batch   1216, Loss  0.851623, Average Loss  0.867972, Time  0.381202
2021-09-09 20:48:59.061811 : Epoch  7, Batch   1217, Loss  0.828466, Average Loss  0.867756, Time  0.393981
2021-09-09 20:49:00.944930 : Epoch  7, Batch   1218, Loss  0.850329, Average Loss  0.867627, Time  0.466803
2021-09-09 20:49:02.758798 : Epoch  7, Batch   1219, Loss  0.878349, Average Loss  0.867662, Time  0.374986
2021-09-09 20:49:04.603126 : Epoch  7, Batch   1220, Loss  0.883419, Average Loss  0.867805, Time  0.373475
2021-09-09 20:49:06.410246 : Epoch  7, Batch   1221, Loss  0.873643, Average Loss  0.867715, Time  0.387388
2021-09-09 20:49:08.298791 : Epoch  7, Batch   1222, Loss  0.860381, Average Loss  0.867563, Time  0.466834
2021-09-09 20:49:10.086310 : Epoch  7, Batch   1223, Loss  0.891708, Average Loss  0.867557, Time  0.364968
2021-09-09 20:49:11.877870 : Epoch  7, Batch   1224, Loss  0.881199, Average Loss  0.867512, Time  0.365699
2021-09-09 20:49:13.724245 : Epoch  7, Batch   1225, Loss  0.909081, Average Loss  0.867626, Time  0.420891
2021-09-09 20:49:15.636764 : Epoch  7, Batch   1226, Loss  0.855716, Average Loss  0.867497, Time  0.464320
2021-09-09 20:49:17.408051 : Epoch  7, Batch   1227, Loss  0.869949, Average Loss  0.867394, Time  0.363710
2021-09-09 20:49:19.190900 : Epoch  7, Batch   1228, Loss  0.878685, Average Loss  0.867459, Time  0.379474
2021-09-09 20:49:21.052125 : Epoch  7, Batch   1229, Loss  0.852267, Average Loss  0.867488, Time  0.419400
2021-09-09 20:49:22.957768 : Epoch  7, Batch   1230, Loss  0.876514, Average Loss  0.867572, Time  0.461173
2021-09-09 20:49:24.775925 : Epoch  7, Batch   1231, Loss  0.891225, Average Loss  0.867665, Time  0.379062
2021-09-09 20:49:26.557764 : Epoch  7, Batch   1232, Loss  0.863134, Average Loss  0.867466, Time  0.362791
2021-09-09 20:49:28.426772 : Epoch  7, Batch   1233, Loss  0.830906, Average Loss  0.867262, Time  0.397896
2021-09-09 20:49:30.335637 : Epoch  7, Batch   1234, Loss  0.847808, Average Loss  0.867009, Time  0.478168
2021-09-09 20:54:21.569387 : CheckPoint: Validation Loss  0.00062165, Best Loss  0.00056427
2021-09-09 20:54:23.459778 : Epoch  7, Batch   1235, Loss  0.869920, Average Loss  0.867083, Time  0.460213
2021-09-09 20:54:25.333790 : Epoch  7, Batch   1236, Loss  0.897008, Average Loss  0.867115, Time  0.456838
2021-09-09 20:54:27.120774 : Epoch  7, Batch   1237, Loss  0.890476, Average Loss  0.867178, Time  0.359130
2021-09-09 20:54:28.920930 : Epoch  7, Batch   1238, Loss  0.879091, Average Loss  0.867313, Time  0.358176
2021-09-09 20:54:30.756035 : Epoch  7, Batch   1239, Loss  0.867206, Average Loss  0.867331, Time  0.424355
2021-09-09 20:54:32.644818 : Epoch  7, Batch   1240, Loss  0.847651, Average Loss  0.867173, Time  0.469761
2021-09-09 20:54:34.441778 : Epoch  7, Batch   1241, Loss  0.882623, Average Loss  0.867203, Time  0.358303
2021-09-09 20:54:36.227427 : Epoch  7, Batch   1242, Loss  0.855151, Average Loss  0.867066, Time  0.368341
2021-09-09 20:54:38.016863 : Epoch  7, Batch   1243, Loss  0.879258, Average Loss  0.867079, Time  0.375883
2021-09-09 20:54:39.892762 : Epoch  7, Batch   1244, Loss  0.879569, Average Loss  0.867094, Time  0.450847
2021-09-09 20:54:41.672764 : Epoch  7, Batch   1245, Loss  0.842764, Average Loss  0.866957, Time  0.361133
2021-09-09 20:54:43.462764 : Epoch  7, Batch   1246, Loss  0.871383, Average Loss  0.866959, Time  0.357052
2021-09-09 20:54:45.280776 : Epoch  7, Batch   1247, Loss  0.872844, Average Loss  0.867037, Time  0.385812
2021-09-09 20:54:47.191225 : Epoch  7, Batch   1248, Loss  0.877658, Average Loss  0.867109, Time  0.456235
2021-09-09 20:54:49.050810 : Epoch  7, Batch   1249, Loss  0.889370, Average Loss  0.867186, Time  0.414968
2021-09-09 20:54:50.838779 : Epoch  7, Batch   1250, Loss  0.864888, Average Loss  0.867144, Time  0.357373
2021-09-09 20:54:52.639762 : Epoch  7, Batch   1251, Loss  0.872402, Average Loss  0.867169, Time  0.365138
2021-09-09 20:54:54.528091 : Epoch  7, Batch   1252, Loss  0.859966, Average Loss  0.867110, Time  0.443245
2021-09-09 20:54:56.390931 : Epoch  7, Batch   1253, Loss  0.850487, Average Loss  0.867071, Time  0.451674
2021-09-09 20:54:58.191853 : Epoch  7, Batch   1254, Loss  0.844193, Average Loss  0.866966, Time  0.357560
2021-09-09 20:54:59.962419 : Epoch  7, Batch   1255, Loss  0.871004, Average Loss  0.867059, Time  0.361505
2021-09-09 20:55:01.777097 : Epoch  7, Batch   1256, Loss  0.854370, Average Loss  0.866974, Time  0.390093
2021-09-09 20:55:03.658473 : Epoch  7, Batch   1257, Loss  0.867045, Average Loss  0.866831, Time  0.451063
2021-09-09 20:55:05.460817 : Epoch  7, Batch   1258, Loss  0.840167, Average Loss  0.866548, Time  0.355932
2021-09-09 20:55:07.258108 : Epoch  7, Batch   1259, Loss  0.840675, Average Loss  0.866558, Time  0.362899
2021-09-09 20:55:09.041780 : Epoch  7, Batch   1260, Loss  0.847179, Average Loss  0.866337, Time  0.374426
2021-09-09 20:55:10.932985 : Epoch  7, Batch   1261, Loss  0.856754, Average Loss  0.866337, Time  0.462090
2021-09-09 20:55:12.733859 : Epoch  7, Batch   1262, Loss  0.858352, Average Loss  0.866341, Time  0.352609
2021-09-09 20:55:14.526103 : Epoch  7, Batch   1263, Loss  0.886416, Average Loss  0.866346, Time  0.366486
2021-09-09 20:55:16.329234 : Epoch  7, Batch   1264, Loss  0.866059, Average Loss  0.866199, Time  0.365116
2021-09-09 20:55:18.231843 : Epoch  7, Batch   1265, Loss  0.874856, Average Loss  0.866081, Time  0.450198
2021-09-09 20:55:20.108063 : Epoch  7, Batch   1266, Loss  0.867373, Average Loss  0.866051, Time  0.421948
2021-09-09 20:55:21.905781 : Epoch  7, Batch   1267, Loss  0.868493, Average Loss  0.865944, Time  0.359053
2021-09-09 20:55:23.714788 : Epoch  7, Batch   1268, Loss  0.859634, Average Loss  0.865968, Time  0.358187
2021-09-09 20:55:25.578338 : Epoch  7, Batch   1269, Loss  0.842421, Average Loss  0.865725, Time  0.427994
2021-09-09 20:55:27.446794 : Epoch  7, Batch   1270, Loss  0.871717, Average Loss  0.865900, Time  0.453554
2021-09-09 20:55:29.241809 : Epoch  7, Batch   1271, Loss  0.868547, Average Loss  0.865985, Time  0.358601
2021-09-09 20:55:31.067556 : Epoch  7, Batch   1272, Loss  0.863467, Average Loss  0.865954, Time  0.400630
2021-09-09 20:55:32.888960 : Epoch  7, Batch   1273, Loss  0.918301, Average Loss  0.866106, Time  0.397624
2021-09-09 20:55:34.783789 : Epoch  7, Batch   1274, Loss  0.879478, Average Loss  0.866237, Time  0.453572
2021-09-09 20:55:36.567778 : Epoch  7, Batch   1275, Loss  0.900616, Average Loss  0.866444, Time  0.359784
2021-09-09 20:55:38.367780 : Epoch  7, Batch   1276, Loss  0.877437, Average Loss  0.866579, Time  0.363514
2021-09-09 20:55:40.170781 : Epoch  7, Batch   1277, Loss  0.865209, Average Loss  0.866533, Time  0.372727
2021-09-09 20:55:42.070124 : Epoch  7, Batch   1278, Loss  0.867975, Average Loss  0.866626, Time  0.461106
2021-09-09 20:55:43.841772 : Epoch  7, Batch   1279, Loss  0.870608, Average Loss  0.866585, Time  0.361927
2021-09-09 20:55:45.620923 : Epoch  7, Batch   1280, Loss  0.886318, Average Loss  0.866860, Time  0.364940
2021-09-09 20:55:47.437776 : Epoch  7, Batch   1281, Loss  0.895219, Average Loss  0.866990, Time  0.363863
2021-09-09 20:55:49.343550 : Epoch  7, Batch   1282, Loss  0.873219, Average Loss  0.867018, Time  0.468252
2021-09-09 20:55:51.134088 : Epoch  7, Batch   1283, Loss  0.881947, Average Loss  0.867254, Time  0.371745
2021-09-09 20:55:52.917223 : Epoch  7, Batch   1284, Loss  0.879587, Average Loss  0.867403, Time  0.371974
2021-09-09 20:55:54.717106 : Epoch  7, Batch   1285, Loss  0.869604, Average Loss  0.867551, Time  0.357630
2021-09-09 20:55:56.580801 : Epoch  7, Batch   1286, Loss  0.843769, Average Loss  0.867577, Time  0.452364
2021-09-09 20:55:58.459152 : Epoch  7, Batch   1287, Loss  0.834671, Average Loss  0.867465, Time  0.466913
2021-09-09 20:56:00.258375 : Epoch  7, Batch   1288, Loss  0.912500, Average Loss  0.867685, Time  0.360278
2021-09-09 20:56:02.036333 : Epoch  7, Batch   1289, Loss  0.858176, Average Loss  0.867623, Time  0.355128
2021-09-09 20:56:03.861914 : Epoch  7, Batch   1290, Loss  0.853243, Average Loss  0.867525, Time  0.416087
2021-09-09 20:56:05.777772 : Epoch  7, Batch   1291, Loss  0.856326, Average Loss  0.867361, Time  0.470644
2021-09-09 20:56:07.643223 : Epoch  7, Batch   1292, Loss  0.881646, Average Loss  0.867435, Time  0.402894
2021-09-09 20:56:09.420769 : Epoch  7, Batch   1293, Loss  0.874745, Average Loss  0.867451, Time  0.358585
2021-09-09 20:56:11.201777 : Epoch  7, Batch   1294, Loss  0.872494, Average Loss  0.867494, Time  0.355351
2021-09-09 20:56:13.067899 : Epoch  7, Batch   1295, Loss  0.840412, Average Loss  0.867324, Time  0.442729
2021-09-09 20:56:14.981764 : Epoch  7, Batch   1296, Loss  0.863691, Average Loss  0.867413, Time  0.454751
2021-09-09 20:56:16.744804 : Epoch  7, Batch   1297, Loss  0.828731, Average Loss  0.867152, Time  0.355630
2021-09-09 20:56:18.530776 : Epoch  7, Batch   1298, Loss  0.876242, Average Loss  0.867330, Time  0.356367
2021-09-09 20:56:20.358104 : Epoch  7, Batch   1299, Loss  0.865202, Average Loss  0.867392, Time  0.380838
2021-09-09 20:56:22.239103 : Epoch  7, Batch   1300, Loss  0.863365, Average Loss  0.867365, Time  0.454669
2021-09-09 20:56:23.998788 : Epoch  7, Batch   1301, Loss  0.869727, Average Loss  0.867359, Time  0.355874
2021-09-09 20:56:25.785546 : Epoch  7, Batch   1302, Loss  0.869227, Average Loss  0.867548, Time  0.359531
2021-09-09 20:56:27.599777 : Epoch  7, Batch   1303, Loss  0.882541, Average Loss  0.867711, Time  0.390377
2021-09-09 20:56:29.517775 : Epoch  7, Batch   1304, Loss  0.870187, Average Loss  0.867751, Time  0.456844
2021-09-09 20:56:31.293224 : Epoch  7, Batch   1305, Loss  0.831111, Average Loss  0.867465, Time  0.339219
2021-09-09 20:56:33.085774 : Epoch  7, Batch   1306, Loss  0.882402, Average Loss  0.867530, Time  0.365677
2021-09-09 20:56:34.866811 : Epoch  7, Batch   1307, Loss  0.862200, Average Loss  0.867510, Time  0.360481
2021-09-09 20:56:36.743899 : Epoch  7, Batch   1308, Loss  0.879409, Average Loss  0.867668, Time  0.459284
2021-09-09 20:56:38.535779 : Epoch  7, Batch   1309, Loss  0.876285, Average Loss  0.867675, Time  0.354917
2021-09-09 20:56:40.349772 : Epoch  7, Batch   1310, Loss  0.875630, Average Loss  0.867675, Time  0.358341
2021-09-09 20:56:42.155813 : Epoch  7, Batch   1311, Loss  0.879638, Average Loss  0.867727, Time  0.369214
2021-09-09 20:56:44.052773 : Epoch  7, Batch   1312, Loss  0.894285, Average Loss  0.867878, Time  0.461005
2021-09-09 20:56:45.817100 : Epoch  7, Batch   1313, Loss  0.871208, Average Loss  0.867989, Time  0.342013
2021-09-09 20:56:47.588777 : Epoch  7, Batch   1314, Loss  0.875833, Average Loss  0.868092, Time  0.357186
2021-09-09 20:56:49.397915 : Epoch  7, Batch   1315, Loss  0.907413, Average Loss  0.868345, Time  0.356979
2021-09-09 20:56:51.301774 : Epoch  7, Batch   1316, Loss  0.846545, Average Loss  0.868236, Time  0.456186
2021-09-09 20:56:53.063801 : Epoch  7, Batch   1317, Loss  0.880303, Average Loss  0.868326, Time  0.348694
2021-09-09 20:56:54.851774 : Epoch  7, Batch   1318, Loss  0.868482, Average Loss  0.868353, Time  0.358273
2021-09-09 20:56:56.647111 : Epoch  7, Batch   1319, Loss  0.873265, Average Loss  0.868375, Time  0.377070
2021-09-09 20:56:58.512777 : Epoch  7, Batch   1320, Loss  0.866386, Average Loss  0.868264, Time  0.452790
2021-09-09 20:57:00.286313 : Epoch  7, Batch   1321, Loss  0.834721, Average Loss  0.868095, Time  0.362589
2021-09-09 20:57:02.058766 : Epoch  7, Batch   1322, Loss  0.889283, Average Loss  0.868163, Time  0.357320
2021-09-09 20:57:03.883786 : Epoch  7, Batch   1323, Loss  0.873191, Average Loss  0.868293, Time  0.389739
2021-09-09 20:57:05.789774 : Epoch  7, Batch   1324, Loss  0.848056, Average Loss  0.868195, Time  0.452100
2021-09-09 20:57:07.646718 : Epoch  7, Batch   1325, Loss  0.868087, Average Loss  0.868239, Time  0.413601
2021-09-09 20:57:09.433812 : Epoch  7, Batch   1326, Loss  0.893797, Average Loss  0.868370, Time  0.361548
2021-09-09 20:57:11.228100 : Epoch  7, Batch   1327, Loss  0.836286, Average Loss  0.868291, Time  0.357704
2021-09-09 20:57:13.097777 : Epoch  7, Batch   1328, Loss  0.869037, Average Loss  0.868153, Time  0.448232
2021-09-09 20:57:15.007110 : Epoch  7, Batch   1329, Loss  0.882439, Average Loss  0.868358, Time  0.462970
2021-09-09 20:57:16.826763 : Epoch  7, Batch   1330, Loss  0.844741, Average Loss  0.868300, Time  0.354512
2021-09-09 20:57:18.624976 : Epoch  7, Batch   1331, Loss  0.868598, Average Loss  0.868175, Time  0.358998
2021-09-09 20:57:20.460365 : Epoch  7, Batch   1332, Loss  0.894738, Average Loss  0.868269, Time  0.359219
2021-09-09 20:57:22.377834 : Epoch  7, Batch   1333, Loss  0.875392, Average Loss  0.868319, Time  0.452554
2021-09-09 20:57:24.247038 : Epoch  7, Batch   1334, Loss  0.846997, Average Loss  0.868384, Time  0.447933
2021-09-09 21:02:15.361721 : CheckPoint: Validation Loss  0.00061050, Best Loss  0.00056427
2021-09-09 21:02:17.162763 : Epoch  7, Batch   1335, Loss  0.889535, Average Loss  0.868557, Time  0.355670
2021-09-09 21:02:19.069776 : Epoch  7, Batch   1336, Loss  0.869320, Average Loss  0.868541, Time  0.453357
2021-09-09 21:02:20.955773 : Epoch  7, Batch   1337, Loss  0.850576, Average Loss  0.868517, Time  0.439286
2021-09-09 21:02:22.746766 : Epoch  7, Batch   1338, Loss  0.890355, Average Loss  0.868783, Time  0.357050
2021-09-09 21:02:24.545781 : Epoch  7, Batch   1339, Loss  0.905973, Average Loss  0.868996, Time  0.356620
2021-09-09 21:02:26.392780 : Epoch  7, Batch   1340, Loss  0.870580, Average Loss  0.868923, Time  0.409169
2021-09-09 21:02:28.285852 : Epoch  7, Batch   1341, Loss  0.851921, Average Loss  0.868608, Time  0.449315
2021-09-09 21:02:30.071777 : Epoch  7, Batch   1342, Loss  0.857648, Average Loss  0.868527, Time  0.357782
2021-09-09 21:02:31.857695 : Epoch  7, Batch   1343, Loss  0.871185, Average Loss  0.868607, Time  0.361238
2021-09-09 21:02:33.647770 : Epoch  7, Batch   1344, Loss  0.898723, Average Loss  0.868713, Time  0.379809
2021-09-09 21:02:35.548784 : Epoch  7, Batch   1345, Loss  0.834236, Average Loss  0.868452, Time  0.459594
2021-09-09 21:02:37.467783 : Epoch  7, Batch   1346, Loss  0.861686, Average Loss  0.868404, Time  0.437680
2021-09-09 21:02:39.281814 : Epoch  7, Batch   1347, Loss  0.881214, Average Loss  0.868479, Time  0.358707
2021-09-09 21:02:41.090112 : Epoch  7, Batch   1348, Loss  0.868847, Average Loss  0.868394, Time  0.361264
2021-09-09 21:02:42.931776 : Epoch  7, Batch   1349, Loss  0.848026, Average Loss  0.868490, Time  0.416482
2021-09-09 21:02:44.860781 : Epoch  7, Batch   1350, Loss  0.890743, Average Loss  0.868550, Time  0.460936
2021-09-09 21:02:46.673774 : Epoch  7, Batch   1351, Loss  0.873455, Average Loss  0.868591, Time  0.364860
2021-09-09 21:02:48.451776 : Epoch  7, Batch   1352, Loss  0.855399, Average Loss  0.868302, Time  0.363886
2021-09-09 21:02:50.261771 : Epoch  7, Batch   1353, Loss  0.904196, Average Loss  0.868547, Time  0.385700
2021-09-09 21:02:52.126590 : Epoch  7, Batch   1354, Loss  0.878845, Average Loss  0.868719, Time  0.454850
2021-09-09 21:02:53.891232 : Epoch  7, Batch   1355, Loss  0.881304, Average Loss  0.868786, Time  0.355859
2021-09-09 21:02:55.690779 : Epoch  7, Batch   1356, Loss  0.884468, Average Loss  0.868798, Time  0.373121
2021-09-09 21:02:57.515774 : Epoch  7, Batch   1357, Loss  0.875926, Average Loss  0.868832, Time  0.406890
2021-09-09 21:02:59.395775 : Epoch  7, Batch   1358, Loss  0.877307, Average Loss  0.869001, Time  0.454132
2021-09-09 21:03:01.195765 : Epoch  7, Batch   1359, Loss  0.862301, Average Loss  0.869120, Time  0.355688
2021-09-09 21:03:02.967945 : Epoch  7, Batch   1360, Loss  0.848723, Average Loss  0.869084, Time  0.357123
2021-09-09 21:03:04.799775 : Epoch  7, Batch   1361, Loss  0.851794, Average Loss  0.869024, Time  0.380769
2021-09-09 21:03:06.677769 : Epoch  7, Batch   1362, Loss  0.888755, Average Loss  0.869120, Time  0.461282
2021-09-09 21:03:08.447778 : Epoch  7, Batch   1363, Loss  0.859494, Average Loss  0.869056, Time  0.355672
2021-09-09 21:03:10.244777 : Epoch  7, Batch   1364, Loss  0.850612, Average Loss  0.868882, Time  0.357511
2021-09-09 21:03:12.055821 : Epoch  7, Batch   1365, Loss  0.877520, Average Loss  0.868950, Time  0.373198
2021-09-09 21:03:13.952778 : Epoch  7, Batch   1366, Loss  0.917542, Average Loss  0.869167, Time  0.457061
2021-09-09 21:03:15.732905 : Epoch  7, Batch   1367, Loss  0.864236, Average Loss  0.869095, Time  0.357977
2021-09-09 21:03:17.494778 : Epoch  7, Batch   1368, Loss  0.888668, Average Loss  0.869136, Time  0.358861
2021-09-09 21:03:19.316780 : Epoch  7, Batch   1369, Loss  0.841276, Average Loss  0.869033, Time  0.402761
2021-09-09 21:03:21.213777 : Epoch  7, Batch   1370, Loss  0.902428, Average Loss  0.869101, Time  0.463371
2021-09-09 21:03:23.001761 : Epoch  7, Batch   1371, Loss  0.881637, Average Loss  0.869067, Time  0.358643
2021-09-09 21:03:24.795839 : Epoch  7, Batch   1372, Loss  0.890776, Average Loss  0.869158, Time  0.359594
2021-09-09 21:03:26.636775 : Epoch  7, Batch   1373, Loss  0.865067, Average Loss  0.869075, Time  0.405092
2021-09-09 21:03:28.561776 : Epoch  7, Batch   1374, Loss  0.849975, Average Loss  0.869029, Time  0.472152
2021-09-09 21:03:30.351781 : Epoch  7, Batch   1375, Loss  0.843465, Average Loss  0.868934, Time  0.358436
2021-09-09 21:03:32.150876 : Epoch  7, Batch   1376, Loss  0.853983, Average Loss  0.868938, Time  0.361272
2021-09-09 21:03:33.978216 : Epoch  7, Batch   1377, Loss  0.873068, Average Loss  0.869007, Time  0.423621
2021-09-09 21:03:35.851778 : Epoch  7, Batch   1378, Loss  0.868406, Average Loss  0.868953, Time  0.447086
2021-09-09 21:03:37.664777 : Epoch  7, Batch   1379, Loss  0.856777, Average Loss  0.868796, Time  0.362077
2021-09-09 21:03:39.454778 : Epoch  7, Batch   1380, Loss  0.828276, Average Loss  0.868577, Time  0.367716
2021-09-09 21:03:41.304773 : Epoch  7, Batch   1381, Loss  0.866453, Average Loss  0.868585, Time  0.413567
2021-09-09 21:03:43.195105 : Epoch  7, Batch   1382, Loss  0.877884, Average Loss  0.868698, Time  0.451752
2021-09-09 21:03:45.002766 : Epoch  7, Batch   1383, Loss  0.874538, Average Loss  0.868637, Time  0.356780
2021-09-09 21:03:46.786764 : Epoch  7, Batch   1384, Loss  0.907074, Average Loss  0.868761, Time  0.356803
2021-09-09 21:03:48.638787 : Epoch  7, Batch   1385, Loss  0.858136, Average Loss  0.868765, Time  0.407470
2021-09-09 21:03:50.532093 : Epoch  7, Batch   1386, Loss  0.891655, Average Loss  0.868830, Time  0.455765
2021-09-09 21:03:52.324690 : Epoch  7, Batch   1387, Loss  0.891152, Average Loss  0.868902, Time  0.362797
2021-09-09 21:03:54.091769 : Epoch  7, Batch   1388, Loss  0.861664, Average Loss  0.869063, Time  0.369894
2021-09-09 21:03:55.917527 : Epoch  7, Batch   1389, Loss  0.899571, Average Loss  0.869303, Time  0.413073
2021-09-09 21:03:57.809771 : Epoch  7, Batch   1390, Loss  0.867665, Average Loss  0.869366, Time  0.455094
2021-09-09 21:03:59.607780 : Epoch  7, Batch   1391, Loss  0.853108, Average Loss  0.869327, Time  0.355751
2021-09-09 21:04:01.405926 : Epoch  7, Batch   1392, Loss  0.862906, Average Loss  0.869286, Time  0.366477
2021-09-09 21:04:03.213775 : Epoch  7, Batch   1393, Loss  0.881415, Average Loss  0.869224, Time  0.393760
2021-09-09 21:04:05.138770 : Epoch  7, Batch   1394, Loss  0.873501, Average Loss  0.869196, Time  0.466094
2021-09-09 21:04:06.942778 : Epoch  7, Batch   1395, Loss  0.887153, Average Loss  0.869376, Time  0.342489
2021-09-09 21:04:08.739776 : Epoch  7, Batch   1396, Loss  0.856861, Average Loss  0.869213, Time  0.363499
2021-09-09 21:04:10.518836 : Epoch  7, Batch   1397, Loss  0.855936, Average Loss  0.869131, Time  0.361336
2021-09-09 21:04:12.400778 : Epoch  7, Batch   1398, Loss  0.873650, Average Loss  0.869067, Time  0.456809
2021-09-09 21:04:14.175780 : Epoch  7, Batch   1399, Loss  0.871429, Average Loss  0.869197, Time  0.355684
2021-09-09 21:04:15.991929 : Epoch  7, Batch   1400, Loss  0.850340, Average Loss  0.869024, Time  0.369359
2021-09-09 21:04:17.796100 : Epoch  7, Batch   1401, Loss  0.870858, Average Loss  0.869071, Time  0.376462
2021-09-09 21:04:19.666780 : Epoch  7, Batch   1402, Loss  0.866555, Average Loss  0.869137, Time  0.460179
2021-09-09 21:04:21.454813 : Epoch  7, Batch   1403, Loss  0.859536, Average Loss  0.869191, Time  0.357596
2021-09-09 21:04:23.238775 : Epoch  7, Batch   1404, Loss  0.856562, Average Loss  0.869167, Time  0.363449
2021-09-09 21:04:25.040701 : Epoch  7, Batch   1405, Loss  0.867389, Average Loss  0.869157, Time  0.380724
2021-09-09 21:04:26.907232 : Epoch  7, Batch   1406, Loss  0.848312, Average Loss  0.869074, Time  0.447465
2021-09-09 21:04:28.683786 : Epoch  7, Batch   1407, Loss  0.861898, Average Loss  0.869120, Time  0.369479
2021-09-09 21:04:30.484954 : Epoch  7, Batch   1408, Loss  0.851970, Average Loss  0.869041, Time  0.370915
2021-09-09 21:04:32.287890 : Epoch  7, Batch   1409, Loss  0.875310, Average Loss  0.869046, Time  0.390667
2021-09-09 21:04:34.163774 : Epoch  7, Batch   1410, Loss  0.854928, Average Loss  0.869140, Time  0.449963
2021-09-09 21:04:35.953775 : Epoch  7, Batch   1411, Loss  0.886326, Average Loss  0.869303, Time  0.361946
2021-09-09 21:04:37.734779 : Epoch  7, Batch   1412, Loss  0.888102, Average Loss  0.869262, Time  0.367501
2021-09-09 21:04:39.580775 : Epoch  7, Batch   1413, Loss  0.871373, Average Loss  0.869155, Time  0.400856
2021-09-09 21:04:41.475778 : Epoch  7, Batch   1414, Loss  0.835986, Average Loss  0.868988, Time  0.461883
2021-09-09 21:04:43.274909 : Epoch  7, Batch   1415, Loss  0.896670, Average Loss  0.869206, Time  0.367472
2021-09-09 21:04:45.095763 : Epoch  7, Batch   1416, Loss  0.880224, Average Loss  0.869349, Time  0.360614
2021-09-09 21:04:46.916764 : Epoch  7, Batch   1417, Loss  0.851236, Average Loss  0.869462, Time  0.360638
2021-09-09 21:04:48.781763 : Epoch  7, Batch   1418, Loss  0.854355, Average Loss  0.869483, Time  0.461535
2021-09-09 21:04:50.570515 : Epoch  7, Batch   1419, Loss  0.874376, Average Loss  0.869463, Time  0.356681
2021-09-09 21:04:52.350764 : Epoch  7, Batch   1420, Loss  0.862358, Average Loss  0.869357, Time  0.358331
2021-09-09 21:04:54.165787 : Epoch  7, Batch   1421, Loss  0.870972, Average Loss  0.869344, Time  0.376020
2021-09-09 21:04:56.059846 : Epoch  7, Batch   1422, Loss  0.851113, Average Loss  0.869298, Time  0.457054
2021-09-09 21:04:57.866766 : Epoch  7, Batch   1423, Loss  0.872788, Average Loss  0.869203, Time  0.363811
2021-09-09 21:04:59.646817 : Epoch  7, Batch   1424, Loss  0.877344, Average Loss  0.869184, Time  0.356920
2021-09-09 21:05:01.415232 : Epoch  7, Batch   1425, Loss  0.846428, Average Loss  0.868871, Time  0.356816
2021-09-09 21:05:03.325079 : Epoch  7, Batch   1426, Loss  0.880406, Average Loss  0.868994, Time  0.447949
2021-09-09 21:05:05.166005 : Epoch  7, Batch   1427, Loss  0.877351, Average Loss  0.869031, Time  0.413508
2021-09-09 21:05:06.969778 : Epoch  7, Batch   1428, Loss  0.820972, Average Loss  0.868742, Time  0.357953
2021-09-09 21:05:08.761776 : Epoch  7, Batch   1429, Loss  0.855977, Average Loss  0.868761, Time  0.355798
2021-09-09 21:05:10.631770 : Epoch  7, Batch   1430, Loss  0.874628, Average Loss  0.868752, Time  0.438931
2021-09-09 21:05:12.501770 : Epoch  7, Batch   1431, Loss  0.875607, Average Loss  0.868673, Time  0.459835
2021-09-09 21:05:14.278775 : Epoch  7, Batch   1432, Loss  0.866422, Average Loss  0.868690, Time  0.373643
2021-09-09 21:05:16.075100 : Epoch  7, Batch   1433, Loss  0.886273, Average Loss  0.868967, Time  0.360924
2021-09-09 21:05:17.900777 : Epoch  7, Batch   1434, Loss  0.886751, Average Loss  0.869161, Time  0.404918
2021-09-09 21:10:09.199726 : CheckPoint: Validation Loss  0.00060170, Best Loss  0.00056427
2021-09-09 21:10:10.992892 : Epoch  7, Batch   1435, Loss  0.887232, Average Loss  0.869248, Time  0.367477
2021-09-09 21:10:12.779816 : Epoch  7, Batch   1436, Loss  0.881430, Average Loss  0.869170, Time  0.361603
2021-09-09 21:10:14.661759 : Epoch  7, Batch   1437, Loss  0.878212, Average Loss  0.869109, Time  0.445585
2021-09-09 21:10:16.530765 : Epoch  7, Batch   1438, Loss  0.872823, Average Loss  0.869077, Time  0.451230
2021-09-09 21:10:18.311813 : Epoch  7, Batch   1439, Loss  0.876793, Average Loss  0.869125, Time  0.365554
2021-09-09 21:10:20.097776 : Epoch  7, Batch   1440, Loss  0.866790, Average Loss  0.869221, Time  0.365354
2021-09-09 21:10:21.929811 : Epoch  7, Batch   1441, Loss  0.899262, Average Loss  0.869304, Time  0.391207
2021-09-09 21:10:23.819780 : Epoch  7, Batch   1442, Loss  0.865015, Average Loss  0.869354, Time  0.452556
2021-09-09 21:10:25.607105 : Epoch  7, Batch   1443, Loss  0.905545, Average Loss  0.869485, Time  0.363579
2021-09-09 21:10:27.376521 : Epoch  7, Batch   1444, Loss  0.892721, Average Loss  0.869551, Time  0.359060
2021-09-09 21:10:29.167105 : Epoch  7, Batch   1445, Loss  0.859087, Average Loss  0.869632, Time  0.370366
2021-09-09 21:10:31.049747 : Epoch  7, Batch   1446, Loss  0.877168, Average Loss  0.869661, Time  0.452547
2021-09-09 21:10:32.825102 : Epoch  7, Batch   1447, Loss  0.878304, Average Loss  0.869689, Time  0.355986
2021-09-09 21:10:34.627779 : Epoch  7, Batch   1448, Loss  0.872049, Average Loss  0.869661, Time  0.358071
2021-09-09 21:10:36.460775 : Epoch  7, Batch   1449, Loss  0.898808, Average Loss  0.869708, Time  0.367858
2021-09-09 21:10:38.346784 : Epoch  7, Batch   1450, Loss  0.888878, Average Loss  0.869828, Time  0.458767
2021-09-09 21:10:40.175778 : Epoch  7, Batch   1451, Loss  0.839500, Average Loss  0.869663, Time  0.379645
2021-09-09 21:10:41.987767 : Epoch  7, Batch   1452, Loss  0.896347, Average Loss  0.869845, Time  0.370627
2021-09-09 21:10:43.773763 : Epoch  7, Batch   1453, Loss  0.842717, Average Loss  0.869806, Time  0.360162
2021-09-09 21:10:45.655772 : Epoch  7, Batch   1454, Loss  0.883049, Average Loss  0.870001, Time  0.462074
2021-09-09 21:10:47.545109 : Epoch  7, Batch   1455, Loss  0.861243, Average Loss  0.869952, Time  0.458765
2021-09-09 21:10:49.342919 : Epoch  7, Batch   1456, Loss  0.847587, Average Loss  0.869918, Time  0.357311
2021-09-09 21:10:51.114763 : Epoch  7, Batch   1457, Loss  0.853637, Average Loss  0.869851, Time  0.355968
2021-09-09 21:10:52.918776 : Epoch  7, Batch   1458, Loss  0.875831, Average Loss  0.870029, Time  0.390306
2021-09-09 21:10:54.820907 : Epoch  7, Batch   1459, Loss  0.869390, Average Loss  0.870173, Time  0.461010
2021-09-09 21:10:56.591766 : Epoch  7, Batch   1460, Loss  0.864466, Average Loss  0.870259, Time  0.359624
2021-09-09 21:10:58.376761 : Epoch  7, Batch   1461, Loss  0.873177, Average Loss  0.870341, Time  0.358315
2021-09-09 21:11:00.184779 : Epoch  7, Batch   1462, Loss  0.877862, Average Loss  0.870439, Time  0.369317
2021-09-09 21:11:02.100771 : Epoch  7, Batch   1463, Loss  0.869236, Average Loss  0.870353, Time  0.466868
2021-09-09 21:11:04.013780 : Epoch  7, Batch   1464, Loss  0.877443, Average Loss  0.870410, Time  0.441009
2021-09-09 21:11:05.857116 : Epoch  7, Batch   1465, Loss  0.860517, Average Loss  0.870338, Time  0.378819
2021-09-09 21:11:07.658779 : Epoch  7, Batch   1466, Loss  0.879928, Average Loss  0.870401, Time  0.369361
2021-09-09 21:11:09.544883 : Epoch  7, Batch   1467, Loss  0.878897, Average Loss  0.870453, Time  0.423435
2021-09-09 21:11:11.449932 : Epoch  7, Batch   1468, Loss  0.878400, Average Loss  0.870547, Time  0.469140
2021-09-09 21:11:13.328843 : Epoch  7, Batch   1469, Loss  0.871883, Average Loss  0.870694, Time  0.426836
2021-09-09 21:11:15.131772 : Epoch  7, Batch   1470, Loss  0.902056, Average Loss  0.870846, Time  0.372157
2021-09-09 21:11:16.928765 : Epoch  7, Batch   1471, Loss  0.864201, Average Loss  0.870824, Time  0.364579
2021-09-09 21:11:18.758900 : Epoch  7, Batch   1472, Loss  0.843582, Average Loss  0.870725, Time  0.419723
2021-09-09 21:11:20.649954 : Epoch  7, Batch   1473, Loss  0.873308, Average Loss  0.870500, Time  0.458980
2021-09-09 21:11:22.418771 : Epoch  7, Batch   1474, Loss  0.861031, Average Loss  0.870407, Time  0.362787
2021-09-09 21:11:24.189586 : Epoch  7, Batch   1475, Loss  0.893359, Average Loss  0.870371, Time  0.361337
2021-09-09 21:11:25.989763 : Epoch  7, Batch   1476, Loss  0.854256, Average Loss  0.870255, Time  0.388014
2021-09-09 21:11:27.904434 : Epoch  7, Batch   1477, Loss  0.876777, Average Loss  0.870313, Time  0.454765
2021-09-09 21:11:29.760773 : Epoch  7, Batch   1478, Loss  0.894859, Average Loss  0.870447, Time  0.406402
2021-09-09 21:11:31.533816 : Epoch  7, Batch   1479, Loss  0.852907, Average Loss  0.870359, Time  0.362763
2021-09-09 21:11:33.341811 : Epoch  7, Batch   1480, Loss  0.874194, Average Loss  0.870298, Time  0.365013
2021-09-09 21:11:35.247765 : Epoch  7, Batch   1481, Loss  0.848396, Average Loss  0.870064, Time  0.469286
2021-09-09 21:11:37.110776 : Epoch  7, Batch   1482, Loss  0.895170, Average Loss  0.870174, Time  0.452777
2021-09-09 21:11:38.914777 : Epoch  7, Batch   1483, Loss  0.864572, Average Loss  0.870087, Time  0.373693
2021-09-09 21:11:40.708774 : Epoch  7, Batch   1484, Loss  0.866366, Average Loss  0.870021, Time  0.361453
2021-09-09 21:11:42.520765 : Epoch  7, Batch   1485, Loss  0.866575, Average Loss  0.870006, Time  0.396413
2021-09-09 21:11:44.427116 : Epoch  7, Batch   1486, Loss  0.836784, Average Loss  0.869971, Time  0.452312
2021-09-09 21:11:46.188478 : Epoch  7, Batch   1487, Loss  0.879948, Average Loss  0.870197, Time  0.350652
2021-09-09 21:11:47.972097 : Epoch  7, Batch   1488, Loss  0.860077, Average Loss  0.869935, Time  0.359975
2021-09-09 21:11:49.762771 : Epoch  7, Batch   1489, Loss  0.912078, Average Loss  0.870205, Time  0.370960
2021-09-09 21:11:51.636777 : Epoch  7, Batch   1490, Loss  0.882166, Average Loss  0.870349, Time  0.457029
2021-09-09 21:11:53.413772 : Epoch  7, Batch   1491, Loss  0.895202, Average Loss  0.870544, Time  0.368801
2021-09-09 21:11:55.193016 : Epoch  7, Batch   1492, Loss  0.866580, Average Loss  0.870468, Time  0.359674
2021-09-09 21:11:56.995780 : Epoch  7, Batch   1493, Loss  0.858614, Average Loss  0.870388, Time  0.385112
2021-09-09 21:11:58.856386 : Epoch  7, Batch   1494, Loss  0.861838, Average Loss  0.870334, Time  0.454456
2021-09-09 21:12:00.622194 : Epoch  7, Batch   1495, Loss  0.898258, Average Loss  0.870624, Time  0.366109
2021-09-09 21:12:02.396924 : Epoch  7, Batch   1496, Loss  0.894496, Average Loss  0.870778, Time  0.360057
2021-09-09 21:12:04.225789 : Epoch  7, Batch   1497, Loss  0.863233, Average Loss  0.870950, Time  0.391045
2021-09-09 21:12:06.107935 : Epoch  7, Batch   1498, Loss  0.878875, Average Loss  0.870963, Time  0.470603
2021-09-09 21:12:07.865804 : Epoch  7, Batch   1499, Loss  0.838291, Average Loss  0.870829, Time  0.356236
2021-09-09 21:12:09.666788 : Epoch  7, Batch   1500, Loss  0.847882, Average Loss  0.870751, Time  0.355787
2021-09-09 21:12:11.486823 : Epoch  7, Batch   1501, Loss  0.849598, Average Loss  0.870651, Time  0.386070
2021-09-09 21:12:13.383120 : Epoch  7, Batch   1502, Loss  0.868049, Average Loss  0.870645, Time  0.455821
2021-09-09 21:12:15.159909 : Epoch  7, Batch   1503, Loss  0.917703, Average Loss  0.870821, Time  0.350387
2021-09-09 21:12:16.974773 : Epoch  7, Batch   1504, Loss  0.852332, Average Loss  0.870731, Time  0.369734
2021-09-09 21:12:18.772794 : Epoch  7, Batch   1505, Loss  0.851679, Average Loss  0.870834, Time  0.357434
2021-09-09 21:12:20.652217 : Epoch  7, Batch   1506, Loss  0.857300, Average Loss  0.870709, Time  0.465768
2021-09-09 21:12:22.430767 : Epoch  7, Batch   1507, Loss  0.855784, Average Loss  0.870677, Time  0.356926
2021-09-09 21:12:24.207777 : Epoch  7, Batch   1508, Loss  0.851817, Average Loss  0.870539, Time  0.363754
2021-09-09 21:12:26.017152 : Epoch  7, Batch   1509, Loss  0.867655, Average Loss  0.870496, Time  0.402075
2021-09-09 21:12:27.902912 : Epoch  7, Batch   1510, Loss  0.838928, Average Loss  0.870312, Time  0.452855
2021-09-09 21:12:29.698772 : Epoch  7, Batch   1511, Loss  0.855104, Average Loss  0.870189, Time  0.359318
2021-09-09 21:12:31.496789 : Epoch  7, Batch   1512, Loss  0.838537, Average Loss  0.869911, Time  0.357440
2021-09-09 21:12:33.299770 : Epoch  7, Batch   1513, Loss  0.870800, Average Loss  0.869909, Time  0.371794
2021-09-09 21:12:35.177773 : Epoch  7, Batch   1514, Loss  0.857500, Average Loss  0.869817, Time  0.464056
2021-09-09 21:12:36.957773 : Epoch  7, Batch   1515, Loss  0.878811, Average Loss  0.869674, Time  0.338328
2021-09-09 21:12:38.759541 : Epoch  7, Batch   1516, Loss  0.880142, Average Loss  0.869842, Time  0.368917
2021-09-09 21:12:40.525440 : Epoch  7, Batch   1517, Loss  0.887163, Average Loss  0.869876, Time  0.357748
2021-09-09 21:12:42.410816 : Epoch  7, Batch   1518, Loss  0.850638, Average Loss  0.869787, Time  0.459799
2021-09-09 21:12:44.187781 : Epoch  7, Batch   1519, Loss  0.883014, Average Loss  0.869836, Time  0.363773
2021-09-09 21:12:45.963516 : Epoch  7, Batch   1520, Loss  0.874181, Average Loss  0.869875, Time  0.363905
2021-09-09 21:12:47.765783 : Epoch  7, Batch   1521, Loss  0.856415, Average Loss  0.869983, Time  0.379565
2021-09-09 21:12:49.654600 : Epoch  7, Batch   1522, Loss  0.873946, Average Loss  0.869906, Time  0.461107
2021-09-09 21:12:51.420825 : Epoch  7, Batch   1523, Loss  0.863124, Average Loss  0.869856, Time  0.363709
2021-09-09 21:12:53.203779 : Epoch  7, Batch   1524, Loss  0.853787, Average Loss  0.869885, Time  0.356544
2021-09-09 21:12:55.010797 : Epoch  7, Batch   1525, Loss  0.905380, Average Loss  0.870071, Time  0.378744
2021-09-09 21:12:56.873765 : Epoch  7, Batch   1526, Loss  0.878780, Average Loss  0.869996, Time  0.452351
2021-09-09 21:12:58.660776 : Epoch  7, Batch   1527, Loss  0.885327, Average Loss  0.870241, Time  0.364563
2021-09-09 21:13:00.457278 : Epoch  7, Batch   1528, Loss  0.907876, Average Loss  0.870436, Time  0.371716
2021-09-09 21:13:02.246367 : Epoch  7, Batch   1529, Loss  0.867098, Average Loss  0.870359, Time  0.379669
2021-09-09 21:13:04.141777 : Epoch  7, Batch   1530, Loss  0.883844, Average Loss  0.870554, Time  0.463160
2021-09-09 21:13:05.932103 : Epoch  7, Batch   1531, Loss  0.866967, Average Loss  0.870546, Time  0.358858
2021-09-09 21:13:07.705762 : Epoch  7, Batch   1532, Loss  0.881052, Average Loss  0.870478, Time  0.356358
2021-09-09 21:13:09.492781 : Epoch  7, Batch   1533, Loss  0.888134, Average Loss  0.870542, Time  0.384311
2021-09-09 21:13:11.392811 : Epoch  7, Batch   1534, Loss  0.844335, Average Loss  0.870528, Time  0.457707
2021-09-09 21:18:03.088708 : CheckPoint: Validation Loss  0.00062211, Best Loss  0.00056427
2021-09-09 21:18:04.889779 : Epoch  7, Batch   1535, Loss  0.841888, Average Loss  0.870290, Time  0.367476
2021-09-09 21:18:06.713797 : Epoch  7, Batch   1536, Loss  0.872552, Average Loss  0.870306, Time  0.393574
2021-09-09 21:18:08.631071 : Epoch  7, Batch   1537, Loss  0.900719, Average Loss  0.870557, Time  0.452972
2021-09-09 21:18:10.408771 : Epoch  7, Batch   1538, Loss  0.881886, Average Loss  0.870515, Time  0.344942
2021-09-09 21:18:12.180655 : Epoch  7, Batch   1539, Loss  0.858013, Average Loss  0.870275, Time  0.359308
2021-09-09 21:18:13.948307 : Epoch  7, Batch   1540, Loss  0.909707, Average Loss  0.870470, Time  0.361255
2021-09-09 21:18:15.818924 : Epoch  7, Batch   1541, Loss  0.883469, Average Loss  0.870628, Time  0.454723
2021-09-09 21:18:17.600595 : Epoch  7, Batch   1542, Loss  0.858181, Average Loss  0.870631, Time  0.344267
2021-09-09 21:18:19.374081 : Epoch  7, Batch   1543, Loss  0.874387, Average Loss  0.870647, Time  0.360083
2021-09-09 21:18:21.172775 : Epoch  7, Batch   1544, Loss  0.864795, Average Loss  0.870477, Time  0.358478
2021-09-09 21:18:23.066768 : Epoch  7, Batch   1545, Loss  0.892314, Average Loss  0.870768, Time  0.468571
2021-09-09 21:18:24.941958 : Epoch  7, Batch   1546, Loss  0.858835, Average Loss  0.870753, Time  0.434233
2021-09-09 21:18:26.706173 : Epoch  7, Batch   1547, Loss  0.867509, Average Loss  0.870685, Time  0.357866
2021-09-09 21:18:28.497181 : Epoch  7, Batch   1548, Loss  0.843957, Average Loss  0.870560, Time  0.364283
2021-09-09 21:18:30.347675 : Epoch  7, Batch   1549, Loss  0.885271, Average Loss  0.870747, Time  0.442851
2021-09-09 21:18:32.213774 : Epoch  7, Batch   1550, Loss  0.841112, Average Loss  0.870498, Time  0.455698
2021-09-09 21:18:33.981772 : Epoch  7, Batch   1551, Loss  0.873412, Average Loss  0.870498, Time  0.357800
2021-09-09 21:18:35.794777 : Epoch  7, Batch   1552, Loss  0.875274, Average Loss  0.870598, Time  0.355794
2021-09-09 21:18:37.622781 : Epoch  7, Batch   1553, Loss  0.855194, Average Loss  0.870353, Time  0.376113
2021-09-09 21:18:39.496766 : Epoch  7, Batch   1554, Loss  0.860591, Average Loss  0.870261, Time  0.451156
2021-09-09 21:18:41.289055 : Epoch  7, Batch   1555, Loss  0.843047, Average Loss  0.870070, Time  0.356767
2021-09-09 21:18:43.087814 : Epoch  7, Batch   1556, Loss  0.864959, Average Loss  0.869972, Time  0.371655
2021-09-09 21:18:44.907782 : Epoch  7, Batch   1557, Loss  0.864103, Average Loss  0.869913, Time  0.373074
2021-09-09 21:18:46.830764 : Epoch  7, Batch   1558, Loss  0.863728, Average Loss  0.869845, Time  0.455475
2021-09-09 21:18:48.644589 : Epoch  7, Batch   1559, Loss  0.862742, Average Loss  0.869848, Time  0.408015
2021-09-09 21:18:50.451127 : Epoch  7, Batch   1560, Loss  0.878237, Average Loss  0.869995, Time  0.374970
2021-09-09 21:18:52.230105 : Epoch  7, Batch   1561, Loss  0.890156, Average Loss  0.870187, Time  0.356846
2021-09-09 21:18:54.102109 : Epoch  7, Batch   1562, Loss  0.840821, Average Loss  0.869947, Time  0.445616
2021-09-09 21:18:55.980773 : Epoch  7, Batch   1563, Loss  0.835046, Average Loss  0.869825, Time  0.462366
2021-09-09 21:18:57.792782 : Epoch  7, Batch   1564, Loss  0.902796, Average Loss  0.870086, Time  0.357663
2021-09-09 21:18:59.580894 : Epoch  7, Batch   1565, Loss  0.871729, Average Loss  0.870057, Time  0.356978
2021-09-09 21:19:01.385765 : Epoch  7, Batch   1566, Loss  0.879920, Average Loss  0.869869, Time  0.386284
2021-09-09 21:19:03.258574 : Epoch  7, Batch   1567, Loss  0.856841, Average Loss  0.869832, Time  0.452418
2021-09-09 21:19:05.048771 : Epoch  7, Batch   1568, Loss  0.870423, Average Loss  0.869741, Time  0.379521
2021-09-09 21:19:06.891826 : Epoch  7, Batch   1569, Loss  0.856620, Average Loss  0.869817, Time  0.358812
2021-09-09 21:19:08.696779 : Epoch  7, Batch   1570, Loss  0.864897, Average Loss  0.869630, Time  0.372506
2021-09-09 21:19:10.620772 : Epoch  7, Batch   1571, Loss  0.888178, Average Loss  0.869663, Time  0.459865
2021-09-09 21:19:12.461783 : Epoch  7, Batch   1572, Loss  0.872556, Average Loss  0.869571, Time  0.413037
2021-09-09 21:19:14.282778 : Epoch  7, Batch   1573, Loss  0.879859, Average Loss  0.869645, Time  0.363304
2021-09-09 21:19:16.072790 : Epoch  7, Batch   1574, Loss  0.876558, Average Loss  0.869778, Time  0.357967
2021-09-09 21:19:17.963778 : Epoch  7, Batch   1575, Loss  0.880452, Average Loss  0.869963, Time  0.447350
2021-09-09 21:19:19.857777 : Epoch  7, Batch   1576, Loss  0.910568, Average Loss  0.870246, Time  0.454357
2021-09-09 21:19:21.664877 : Epoch  7, Batch   1577, Loss  0.868056, Average Loss  0.870221, Time  0.357334
2021-09-09 21:19:23.472786 : Epoch  7, Batch   1578, Loss  0.888918, Average Loss  0.870324, Time  0.361819
2021-09-09 21:19:25.283773 : Epoch  7, Batch   1579, Loss  0.863026, Average Loss  0.870355, Time  0.355378
2021-09-09 21:19:27.164871 : Epoch  7, Batch   1580, Loss  0.892751, Average Loss  0.870677, Time  0.459706
2021-09-09 21:19:28.939948 : Epoch  7, Batch   1581, Loss  0.862211, Average Loss  0.870656, Time  0.360251
2021-09-09 21:19:30.737813 : Epoch  7, Batch   1582, Loss  0.866702, Average Loss  0.870600, Time  0.369894
2021-09-09 21:19:32.526893 : Epoch  7, Batch   1583, Loss  0.862210, Average Loss  0.870539, Time  0.367410
2021-09-09 21:19:34.413869 : Epoch  7, Batch   1584, Loss  0.883276, Average Loss  0.870420, Time  0.464231
2021-09-09 21:19:36.190102 : Epoch  7, Batch   1585, Loss  0.869762, Average Loss  0.870478, Time  0.349978
2021-09-09 21:19:37.977773 : Epoch  7, Batch   1586, Loss  0.860218, Average Loss  0.870320, Time  0.366265
2021-09-09 21:19:39.757774 : Epoch  7, Batch   1587, Loss  0.857199, Average Loss  0.870151, Time  0.375432
2021-09-09 21:19:41.630778 : Epoch  7, Batch   1588, Loss  0.854527, Average Loss  0.870115, Time  0.460662
2021-09-09 21:19:43.440107 : Epoch  7, Batch   1589, Loss  0.875113, Average Loss  0.869993, Time  0.358613
2021-09-09 21:19:45.217751 : Epoch  7, Batch   1590, Loss  0.859908, Average Loss  0.869954, Time  0.357509
2021-09-09 21:19:46.995248 : Epoch  7, Batch   1591, Loss  0.884768, Average Loss  0.870112, Time  0.367685
2021-09-09 21:19:48.864773 : Epoch  7, Batch   1592, Loss  0.879794, Average Loss  0.870197, Time  0.460519
2021-09-09 21:19:50.648776 : Epoch  7, Batch   1593, Loss  0.862370, Average Loss  0.870101, Time  0.367757
2021-09-09 21:19:52.446814 : Epoch  7, Batch   1594, Loss  0.857363, Average Loss  0.870021, Time  0.358278
2021-09-09 21:19:54.268900 : Epoch  7, Batch   1595, Loss  0.879353, Average Loss  0.869982, Time  0.371566
2021-09-09 21:19:56.134902 : Epoch  7, Batch   1596, Loss  0.878773, Average Loss  0.870091, Time  0.447500
2021-09-09 21:19:57.902760 : Epoch  7, Batch   1597, Loss  0.878110, Average Loss  0.870202, Time  0.357666
2021-09-09 21:19:59.704631 : Epoch  7, Batch   1598, Loss  0.911568, Average Loss  0.870392, Time  0.362740
2021-09-09 21:20:01.532103 : Epoch  7, Batch   1599, Loss  0.859306, Average Loss  0.870331, Time  0.422977
2021-09-09 21:20:03.429769 : Epoch  7, Batch   1600, Loss  0.870772, Average Loss  0.870433, Time  0.460510
2021-09-09 21:20:05.208773 : Epoch  7, Batch   1601, Loss  0.892814, Average Loss  0.870543, Time  0.358071
2021-09-09 21:20:07.038773 : Epoch  7, Batch   1602, Loss  0.830837, Average Loss  0.870365, Time  0.367622
2021-09-09 21:20:08.829779 : Epoch  7, Batch   1603, Loss  0.860529, Average Loss  0.870370, Time  0.386810
2021-09-09 21:20:10.673872 : Epoch  7, Batch   1604, Loss  0.821248, Average Loss  0.870193, Time  0.434514
2021-09-09 21:20:12.476774 : Epoch  7, Batch   1605, Loss  0.873048, Average Loss  0.870221, Time  0.366891
2021-09-09 21:20:14.247770 : Epoch  7, Batch   1606, Loss  0.836854, Average Loss  0.870164, Time  0.359046
2021-09-09 21:20:16.094266 : Epoch  7, Batch   1607, Loss  0.882119, Average Loss  0.870265, Time  0.419652
2021-09-09 21:20:17.980126 : Epoch  7, Batch   1608, Loss  0.845571, Average Loss  0.870233, Time  0.450371
2021-09-09 21:20:19.750489 : Epoch  7, Batch   1609, Loss  0.829538, Average Loss  0.870004, Time  0.355159
2021-09-09 21:20:21.542434 : Epoch  7, Batch   1610, Loss  0.864886, Average Loss  0.870054, Time  0.363957
2021-09-09 21:20:23.365978 : Epoch  7, Batch   1611, Loss  0.870466, Average Loss  0.869975, Time  0.395646
2021-09-09 21:20:25.233378 : Epoch  7, Batch   1612, Loss  0.854069, Average Loss  0.869805, Time  0.462121
2021-09-09 21:20:26.991866 : Epoch  7, Batch   1613, Loss  0.890051, Average Loss  0.869898, Time  0.357347
2021-09-09 21:20:28.768779 : Epoch  7, Batch   1614, Loss  0.902462, Average Loss  0.870230, Time  0.358598
2021-09-09 21:20:30.608059 : Epoch  7, Batch   1615, Loss  0.889247, Average Loss  0.870193, Time  0.414275
2021-09-09 21:20:32.502774 : Epoch  7, Batch   1616, Loss  0.879298, Average Loss  0.870189, Time  0.450615
2021-09-09 21:20:34.320074 : Epoch  7, Batch   1617, Loss  0.872680, Average Loss  0.870296, Time  0.383157
2021-09-09 21:20:36.093818 : Epoch  7, Batch   1618, Loss  0.856131, Average Loss  0.870305, Time  0.365239
2021-09-09 21:20:37.969761 : Epoch  7, Batch   1619, Loss  0.869381, Average Loss  0.870280, Time  0.413610
2021-09-09 21:20:39.803764 : Epoch  7, Batch   1620, Loss  0.864792, Average Loss  0.870292, Time  0.383736
2021-09-09 21:20:41.615809 : Epoch  7, Batch   1621, Loss  0.850307, Average Loss  0.870189, Time  0.356550
2021-09-09 21:20:43.478774 : Epoch  7, Batch   1622, Loss  0.871311, Average Loss  0.870290, Time  0.428034
2021-09-09 21:20:45.314766 : Epoch  7, Batch   1623, Loss  0.871949, Average Loss  0.870285, Time  0.407194
2021-09-09 21:20:47.105781 : Epoch  7, Batch   1624, Loss  0.859547, Average Loss  0.870196, Time  0.355639
2021-09-09 21:20:48.943773 : Epoch  7, Batch   1625, Loss  0.859867, Average Loss  0.870264, Time  0.411852
2021-09-09 21:20:50.781779 : Epoch  7, Batch   1626, Loss  0.852721, Average Loss  0.870125, Time  0.413175
2021-09-09 21:20:52.570126 : Epoch  7, Batch   1627, Loss  0.900501, Average Loss  0.870241, Time  0.358718
2021-09-09 21:20:54.412775 : Epoch  7, Batch   1628, Loss  0.887286, Average Loss  0.870572, Time  0.422893
2021-09-09 21:20:56.238799 : Epoch  7, Batch   1629, Loss  0.863393, Average Loss  0.870609, Time  0.397237
2021-09-09 21:20:58.026102 : Epoch  7, Batch   1630, Loss  0.874682, Average Loss  0.870610, Time  0.356286
2021-09-09 21:20:59.850778 : Epoch  7, Batch   1631, Loss  0.859615, Average Loss  0.870530, Time  0.414114
2021-09-09 21:21:01.680774 : Epoch  7, Batch   1632, Loss  0.863140, Average Loss  0.870513, Time  0.414006
2021-09-09 21:21:03.483838 : Epoch  7, Batch   1633, Loss  0.881025, Average Loss  0.870487, Time  0.359165
2021-09-09 21:21:05.325938 : Epoch  7, Batch   1634, Loss  0.889989, Average Loss  0.870503, Time  0.423744
2021-09-09 21:25:55.643716 : CheckPoint: Validation Loss  0.00060026, Best Loss  0.00056427
2021-09-09 21:25:57.497767 : Epoch  7, Batch   1635, Loss  0.848053, Average Loss  0.870307, Time  0.412094
2021-09-09 21:25:59.313763 : Epoch  7, Batch   1636, Loss  0.859056, Average Loss  0.870196, Time  0.363404
2021-09-09 21:26:01.127880 : Epoch  7, Batch   1637, Loss  0.859606, Average Loss  0.870103, Time  0.358110
2021-09-09 21:26:03.007777 : Epoch  7, Batch   1638, Loss  0.836583, Average Loss  0.869921, Time  0.418033
2021-09-09 21:26:04.878048 : Epoch  7, Batch   1639, Loss  0.889250, Average Loss  0.869984, Time  0.454311
2021-09-09 21:26:06.655770 : Epoch  7, Batch   1640, Loss  0.888247, Average Loss  0.870091, Time  0.356187
2021-09-09 21:26:08.437880 : Epoch  7, Batch   1641, Loss  0.879263, Average Loss  0.869991, Time  0.359357
2021-09-09 21:26:10.314761 : Epoch  7, Batch   1642, Loss  0.895884, Average Loss  0.870145, Time  0.373927
2021-09-09 21:26:12.204124 : Epoch  7, Batch   1643, Loss  0.877380, Average Loss  0.870004, Time  0.462500
2021-09-09 21:26:13.977762 : Epoch  7, Batch   1644, Loss  0.863589, Average Loss  0.869859, Time  0.369232
2021-09-09 21:26:15.741723 : Epoch  7, Batch   1645, Loss  0.860722, Average Loss  0.869867, Time  0.357932
2021-09-09 21:26:17.536773 : Epoch  7, Batch   1646, Loss  0.869086, Average Loss  0.869827, Time  0.382400
2021-09-09 21:26:19.421831 : Epoch  7, Batch   1647, Loss  0.904997, Average Loss  0.869960, Time  0.472543
2021-09-09 21:26:21.197117 : Epoch  7, Batch   1648, Loss  0.851743, Average Loss  0.869858, Time  0.354079
2021-09-09 21:26:22.971980 : Epoch  7, Batch   1649, Loss  0.876712, Average Loss  0.869748, Time  0.364380
2021-09-09 21:26:24.756772 : Epoch  7, Batch   1650, Loss  0.880841, Average Loss  0.869708, Time  0.367392
2021-09-09 21:26:26.642885 : Epoch  7, Batch   1651, Loss  0.872066, Average Loss  0.869871, Time  0.463001
2021-09-09 21:26:28.416696 : Epoch  7, Batch   1652, Loss  0.849279, Average Loss  0.869635, Time  0.354144
2021-09-09 21:26:30.189215 : Epoch  7, Batch   1653, Loss  0.882912, Average Loss  0.869836, Time  0.361022
2021-09-09 21:26:31.999109 : Epoch  7, Batch   1654, Loss  0.836981, Average Loss  0.869606, Time  0.372243
2021-09-09 21:26:33.919894 : Epoch  7, Batch   1655, Loss  0.873856, Average Loss  0.869669, Time  0.459637
2021-09-09 21:26:35.794874 : Epoch  7, Batch   1656, Loss  0.878308, Average Loss  0.869823, Time  0.441606
2021-09-09 21:26:37.572826 : Epoch  7, Batch   1657, Loss  0.884133, Average Loss  0.869975, Time  0.361944
2021-09-09 21:26:39.351451 : Epoch  7, Batch   1658, Loss  0.895614, Average Loss  0.870074, Time  0.365698
2021-09-09 21:26:41.207811 : Epoch  7, Batch   1659, Loss  0.884659, Average Loss  0.870150, Time  0.426794
2021-09-09 21:26:43.073101 : Epoch  7, Batch   1660, Loss  0.846803, Average Loss  0.870062, Time  0.457004
2021-09-09 21:26:44.836130 : Epoch  7, Batch   1661, Loss  0.845984, Average Loss  0.869926, Time  0.356151
2021-09-09 21:26:46.615770 : Epoch  7, Batch   1662, Loss  0.873644, Average Loss  0.869905, Time  0.365971
2021-09-09 21:26:48.443128 : Epoch  7, Batch   1663, Loss  0.866367, Average Loss  0.869891, Time  0.409684
2021-09-09 21:26:50.336774 : Epoch  7, Batch   1664, Loss  0.842283, Average Loss  0.869715, Time  0.462814
2021-09-09 21:26:52.115106 : Epoch  7, Batch   1665, Loss  0.878734, Average Loss  0.869806, Time  0.372203
2021-09-09 21:26:53.889773 : Epoch  7, Batch   1666, Loss  0.884088, Average Loss  0.869827, Time  0.364346
2021-09-09 21:26:55.676768 : Epoch  7, Batch   1667, Loss  0.884992, Average Loss  0.869857, Time  0.369378
2021-09-09 21:26:57.548731 : Epoch  7, Batch   1668, Loss  0.878023, Average Loss  0.869855, Time  0.457806
2021-09-09 21:26:59.329780 : Epoch  7, Batch   1669, Loss  0.883957, Average Loss  0.869916, Time  0.357844
2021-09-09 21:27:01.143821 : Epoch  7, Batch   1670, Loss  0.904967, Average Loss  0.869930, Time  0.359003
2021-09-09 21:27:02.929658 : Epoch  7, Batch   1671, Loss  0.872662, Average Loss  0.869973, Time  0.362718
2021-09-09 21:27:04.832773 : Epoch  7, Batch   1672, Loss  0.851067, Average Loss  0.870010, Time  0.452887
2021-09-09 21:27:06.621105 : Epoch  7, Batch   1673, Loss  0.875902, Average Loss  0.870023, Time  0.349236
2021-09-09 21:27:08.420770 : Epoch  7, Batch   1674, Loss  0.876351, Average Loss  0.870100, Time  0.356670
2021-09-09 21:27:10.201121 : Epoch  7, Batch   1675, Loss  0.864511, Average Loss  0.869955, Time  0.368767
2021-09-09 21:27:12.082984 : Epoch  7, Batch   1676, Loss  0.881314, Average Loss  0.870091, Time  0.462546
2021-09-09 21:27:13.898780 : Epoch  7, Batch   1677, Loss  0.855098, Average Loss  0.869982, Time  0.375133
2021-09-09 21:27:15.689046 : Epoch  7, Batch   1678, Loss  0.855425, Average Loss  0.869785, Time  0.360086
2021-09-09 21:27:17.460097 : Epoch  7, Batch   1679, Loss  0.866210, Average Loss  0.869852, Time  0.363888
2021-09-09 21:27:19.369936 : Epoch  7, Batch   1680, Loss  0.869887, Average Loss  0.869830, Time  0.454258
2021-09-09 21:27:21.254773 : Epoch  7, Batch   1681, Loss  0.845897, Average Loss  0.869818, Time  0.453475
2021-09-09 21:27:23.046774 : Epoch  7, Batch   1682, Loss  0.863393, Average Loss  0.869659, Time  0.365796
2021-09-09 21:27:24.857774 : Epoch  7, Batch   1683, Loss  0.896995, Average Loss  0.869821, Time  0.358037
2021-09-09 21:27:26.707783 : Epoch  7, Batch   1684, Loss  0.856393, Average Loss  0.869771, Time  0.425849
2021-09-09 21:27:28.564777 : Epoch  7, Batch   1685, Loss  0.866973, Average Loss  0.869773, Time  0.425760
2021-09-09 21:27:30.351562 : Epoch  7, Batch   1686, Loss  0.836309, Average Loss  0.869771, Time  0.358616
2021-09-09 21:27:32.191809 : Epoch  7, Batch   1687, Loss  0.867358, Average Loss  0.869708, Time  0.421789
2021-09-09 21:27:33.999514 : Epoch  7, Batch   1688, Loss  0.888016, Average Loss  0.869847, Time  0.357991
2021-09-09 21:27:35.852896 : Epoch  7, Batch   1689, Loss  0.861360, Average Loss  0.869594, Time  0.437417
2021-09-09 21:27:37.641780 : Epoch  7, Batch   1690, Loss  0.855525, Average Loss  0.869460, Time  0.364627
2021-09-09 21:27:39.473770 : Epoch  7, Batch   1691, Loss  0.904486, Average Loss  0.869507, Time  0.412224
2021-09-09 21:27:41.291813 : Epoch  7, Batch   1692, Loss  0.853788, Average Loss  0.869443, Time  0.415968
2021-09-09 21:27:43.122774 : Epoch  7, Batch   1693, Loss  0.875594, Average Loss  0.869528, Time  0.413568
2021-09-09 21:27:44.897762 : Epoch  7, Batch   1694, Loss  0.849905, Average Loss  0.869468, Time  0.357305
2021-09-09 21:27:46.716328 : Epoch  7, Batch   1695, Loss  0.866019, Average Loss  0.869307, Time  0.408640
2021-09-09 21:27:48.507783 : Epoch  7, Batch   1696, Loss  0.855597, Average Loss  0.869112, Time  0.363869
2021-09-09 21:27:50.318543 : Epoch  7, Batch   1697, Loss  0.832398, Average Loss  0.868958, Time  0.379050
2021-09-09 21:27:52.120782 : Epoch  7, Batch   1698, Loss  0.852137, Average Loss  0.868825, Time  0.357804
2021-09-09 21:27:53.952098 : Epoch  7, Batch   1699, Loss  0.855152, Average Loss  0.868909, Time  0.374252
2021-09-09 21:27:55.711435 : Epoch  7, Batch   1700, Loss  0.879597, Average Loss  0.869067, Time  0.358176
2021-09-09 21:27:57.525788 : Epoch  7, Batch   1701, Loss  0.849952, Average Loss  0.869069, Time  0.380094
2021-09-09 21:27:59.305845 : Epoch  7, Batch   1702, Loss  0.889946, Average Loss  0.869179, Time  0.358942
2021-09-09 21:28:01.102092 : Epoch  7, Batch   1703, Loss  0.853010, Average Loss  0.868855, Time  0.368059
2021-09-09 21:28:02.911118 : Epoch  7, Batch   1704, Loss  0.852432, Average Loss  0.868856, Time  0.367755
2021-09-09 21:28:04.704220 : Epoch  7, Batch   1705, Loss  0.880142, Average Loss  0.868998, Time  0.364407
2021-09-09 21:28:06.503772 : Epoch  7, Batch   1706, Loss  0.858196, Average Loss  0.869003, Time  0.358088
2021-09-09 21:28:08.300913 : Epoch  7, Batch   1707, Loss  0.882223, Average Loss  0.869135, Time  0.372259
2021-09-09 21:28:10.080525 : Epoch  7, Batch   1708, Loss  0.838260, Average Loss  0.869067, Time  0.358406
2021-09-09 21:28:11.854962 : Epoch  7, Batch   1709, Loss  0.829130, Average Loss  0.868874, Time  0.369936
2021-09-09 21:28:13.625767 : Epoch  7, Batch   1710, Loss  0.869404, Average Loss  0.869027, Time  0.361629
2021-09-09 21:28:15.426925 : Epoch  7, Batch   1711, Loss  0.850168, Average Loss  0.869002, Time  0.375953
2021-09-09 21:28:17.205764 : Epoch  7, Batch   1712, Loss  0.844871, Average Loss  0.869034, Time  0.358173
2021-09-09 21:28:19.007782 : Epoch  7, Batch   1713, Loss  0.864219, Average Loss  0.869001, Time  0.371352
2021-09-09 21:28:20.781776 : Epoch  7, Batch   1714, Loss  0.871634, Average Loss  0.869071, Time  0.357284
2021-09-09 21:28:22.593771 : Epoch  7, Batch   1715, Loss  0.881603, Average Loss  0.869085, Time  0.371664
2021-09-09 21:28:24.394778 : Epoch  7, Batch   1716, Loss  0.850048, Average Loss  0.868935, Time  0.372483
2021-09-09 21:28:26.192774 : Epoch  7, Batch   1717, Loss  0.867489, Average Loss  0.868837, Time  0.368074
2021-09-09 21:28:27.978956 : Epoch  7, Batch   1718, Loss  0.857910, Average Loss  0.868873, Time  0.361320
2021-09-09 21:28:29.767780 : Epoch  7, Batch   1719, Loss  0.846383, Average Loss  0.868690, Time  0.368530
2021-09-09 21:28:31.565782 : Epoch  7, Batch   1720, Loss  0.848538, Average Loss  0.868562, Time  0.357865
2021-09-09 21:28:33.375111 : Epoch  7, Batch   1721, Loss  0.864524, Average Loss  0.868602, Time  0.367718
2021-09-09 21:28:35.172777 : Epoch  7, Batch   1722, Loss  0.865490, Average Loss  0.868560, Time  0.360821
2021-09-09 21:28:36.984775 : Epoch  7, Batch   1723, Loss  0.887263, Average Loss  0.868681, Time  0.362480
2021-09-09 21:28:38.784762 : Epoch  7, Batch   1724, Loss  0.865525, Average Loss  0.868739, Time  0.358768
2021-09-09 21:28:40.594778 : Epoch  7, Batch   1725, Loss  0.883114, Average Loss  0.868628, Time  0.364526
2021-09-09 21:28:42.396773 : Epoch  7, Batch   1726, Loss  0.840583, Average Loss  0.868437, Time  0.357829
2021-09-09 21:28:44.228769 : Epoch  7, Batch   1727, Loss  0.871073, Average Loss  0.868366, Time  0.358265
2021-09-09 21:28:46.045074 : Epoch  7, Batch   1728, Loss  0.871367, Average Loss  0.868183, Time  0.357774
2021-09-09 21:28:47.855779 : Epoch  7, Batch   1729, Loss  0.851598, Average Loss  0.868106, Time  0.367372
2021-09-09 21:28:49.666780 : Epoch  7, Batch   1730, Loss  0.867992, Average Loss  0.868026, Time  0.359206
2021-09-09 21:28:51.476774 : Epoch  7, Batch   1731, Loss  0.882197, Average Loss  0.868103, Time  0.361843
2021-09-09 21:28:53.277778 : Epoch  7, Batch   1732, Loss  0.852721, Average Loss  0.867961, Time  0.359225
2021-09-09 21:28:55.079776 : Epoch  7, Batch   1733, Loss  0.861685, Average Loss  0.867829, Time  0.361954
2021-09-09 21:29:02.331761 : Epoch  7, Batch   1734, Loss  0.871406, Average Loss  0.867964, Time  0.366998
2021-09-09 21:33:52.262720 : CheckPoint: Validation Loss  0.00060637, Best Loss  0.00056427
2021-09-09 21:33:54.045983 : Epoch  7, Batch   1735, Loss  0.860864, Average Loss  0.868059, Time  0.354499
2021-09-09 21:33:55.893778 : Epoch  7, Batch   1736, Loss  0.873882, Average Loss  0.868066, Time  0.412649
2021-09-09 21:33:57.688887 : Epoch  7, Batch   1737, Loss  0.834798, Average Loss  0.867736, Time  0.355069
2021-09-09 21:33:59.537784 : Epoch  7, Batch   1738, Loss  0.889597, Average Loss  0.867774, Time  0.411359
2021-09-09 21:34:01.336860 : Epoch  7, Batch   1739, Loss  0.839757, Average Loss  0.867683, Time  0.355316
2021-09-09 21:34:03.188063 : Epoch  7, Batch   1740, Loss  0.857815, Average Loss  0.867424, Time  0.409023
2021-09-09 21:34:04.977803 : Epoch  7, Batch   1741, Loss  0.875026, Average Loss  0.867382, Time  0.357545
2021-09-09 21:34:06.773778 : Epoch  7, Batch   1742, Loss  0.878485, Average Loss  0.867483, Time  0.386739
2021-09-09 21:34:08.541907 : Epoch  7, Batch   1743, Loss  0.861020, Average Loss  0.867416, Time  0.356823
2021-09-09 21:34:10.330336 : Epoch  7, Batch   1744, Loss  0.898146, Average Loss  0.867583, Time  0.382676
2021-09-09 21:34:12.118953 : Epoch  7, Batch   1745, Loss  0.899668, Average Loss  0.867620, Time  0.360660
2021-09-09 21:34:13.946101 : Epoch  7, Batch   1746, Loss  0.887716, Average Loss  0.867764, Time  0.375211
2021-09-09 21:34:15.732943 : Epoch  7, Batch   1747, Loss  0.886189, Average Loss  0.867858, Time  0.364514
2021-09-09 21:34:17.545767 : Epoch  7, Batch   1748, Loss  0.871842, Average Loss  0.867997, Time  0.370987
2021-09-09 21:34:19.344952 : Epoch  7, Batch   1749, Loss  0.855736, Average Loss  0.867849, Time  0.368554
2021-09-09 21:34:21.158824 : Epoch  7, Batch   1750, Loss  0.915905, Average Loss  0.868223, Time  0.366393
2021-09-09 21:34:22.949934 : Epoch  7, Batch   1751, Loss  0.880259, Average Loss  0.868257, Time  0.364365
2021-09-09 21:34:24.745775 : Epoch  7, Batch   1752, Loss  0.893526, Average Loss  0.868349, Time  0.374141
2021-09-09 21:34:26.537216 : Epoch  7, Batch   1753, Loss  0.859704, Average Loss  0.868371, Time  0.358144
2021-09-09 21:34:28.366093 : Epoch  7, Batch   1754, Loss  0.897117, Average Loss  0.868554, Time  0.376226
2021-09-09 21:34:30.175812 : Epoch  7, Batch   1755, Loss  0.899417, Average Loss  0.868836, Time  0.364290
2021-09-09 21:34:31.989928 : Epoch  7, Batch   1756, Loss  0.867754, Average Loss  0.868850, Time  0.366342
2021-09-09 21:34:33.754631 : Epoch  7, Batch   1757, Loss  0.861788, Average Loss  0.868838, Time  0.358911
2021-09-09 21:34:35.570765 : Epoch  7, Batch   1758, Loss  0.868292, Average Loss  0.868861, Time  0.372921
2021-09-09 21:34:37.354219 : Epoch  7, Batch   1759, Loss  0.853930, Average Loss  0.868817, Time  0.358261
2021-09-09 21:34:39.156821 : Epoch  7, Batch   1760, Loss  0.860621, Average Loss  0.868729, Time  0.383425
2021-09-09 21:34:40.932816 : Epoch  7, Batch   1761, Loss  0.858899, Average Loss  0.868573, Time  0.362378
2021-09-09 21:34:42.723515 : Epoch  7, Batch   1762, Loss  0.862735, Average Loss  0.868682, Time  0.371378
2021-09-09 21:34:44.515104 : Epoch  7, Batch   1763, Loss  0.861462, Average Loss  0.868814, Time  0.358104
2021-09-09 21:34:46.332775 : Epoch  7, Batch   1764, Loss  0.861593, Average Loss  0.868608, Time  0.365977
2021-09-09 21:34:48.108105 : Epoch  7, Batch   1765, Loss  0.863553, Average Loss  0.868567, Time  0.357755
2021-09-09 21:34:49.899773 : Epoch  7, Batch   1766, Loss  0.866054, Average Loss  0.868498, Time  0.367664
2021-09-09 21:34:51.675100 : Epoch  7, Batch   1767, Loss  0.821886, Average Loss  0.868323, Time  0.366275
2021-09-09 21:34:53.545767 : Epoch  7, Batch   1768, Loss  0.848178, Average Loss  0.868212, Time  0.375986
2021-09-09 21:34:55.337693 : Epoch  7, Batch   1769, Loss  0.855862, Average Loss  0.868208, Time  0.366559
2021-09-09 21:34:57.115780 : Epoch  7, Batch   1770, Loss  0.851817, Average Loss  0.868143, Time  0.362221
2021-09-09 21:34:58.911924 : Epoch  7, Batch   1771, Loss  0.872309, Average Loss  0.868063, Time  0.357776
2021-09-09 21:35:00.718987 : Epoch  7, Batch   1772, Loss  0.876187, Average Loss  0.868082, Time  0.359179
2021-09-09 21:35:02.543763 : Epoch  7, Batch   1773, Loss  0.873561, Average Loss  0.868050, Time  0.361347
2021-09-09 21:35:04.358896 : Epoch  7, Batch   1774, Loss  0.840440, Average Loss  0.867870, Time  0.361452
2021-09-09 21:35:06.167761 : Epoch  7, Batch   1775, Loss  0.869606, Average Loss  0.867815, Time  0.357712
2021-09-09 21:35:07.976071 : Epoch  7, Batch   1776, Loss  0.860503, Average Loss  0.867565, Time  0.360888
2021-09-09 21:35:09.781051 : Epoch  7, Batch   1777, Loss  0.872596, Average Loss  0.867588, Time  0.358510
2021-09-09 21:35:11.595779 : Epoch  7, Batch   1778, Loss  0.866461, Average Loss  0.867475, Time  0.360849
2021-09-09 21:35:13.399084 : Epoch  7, Batch   1779, Loss  0.847738, Average Loss  0.867399, Time  0.358997
2021-09-09 21:35:15.213770 : Epoch  7, Batch   1780, Loss  0.862259, Average Loss  0.867246, Time  0.358928
2021-09-09 21:35:17.012094 : Epoch  7, Batch   1781, Loss  0.854449, Average Loss  0.867208, Time  0.359796
2021-09-09 21:35:18.815147 : Epoch  7, Batch   1782, Loss  0.877075, Average Loss  0.867260, Time  0.376446
2021-09-09 21:35:20.606097 : Epoch  7, Batch   1783, Loss  0.859850, Average Loss  0.867248, Time  0.359033
2021-09-09 21:35:22.414667 : Epoch  7, Batch   1784, Loss  0.880700, Average Loss  0.867235, Time  0.372288
2021-09-09 21:35:24.201087 : Epoch  7, Batch   1785, Loss  0.874173, Average Loss  0.867257, Time  0.359748
2021-09-09 21:35:26.031109 : Epoch  7, Batch   1786, Loss  0.863687, Average Loss  0.867274, Time  0.375148
2021-09-09 21:35:27.847805 : Epoch  7, Batch   1787, Loss  0.842854, Average Loss  0.867203, Time  0.366108
2021-09-09 21:35:29.668111 : Epoch  7, Batch   1788, Loss  0.856630, Average Loss  0.867213, Time  0.361545
2021-09-09 21:35:31.465772 : Epoch  7, Batch   1789, Loss  0.820003, Average Loss  0.866938, Time  0.369231
2021-09-09 21:35:33.238605 : Epoch  7, Batch   1790, Loss  0.864284, Average Loss  0.866959, Time  0.370194
2021-09-09 21:35:35.028771 : Epoch  7, Batch   1791, Loss  0.892763, Average Loss  0.866999, Time  0.364364
2021-09-09 21:35:36.849217 : Epoch  7, Batch   1792, Loss  0.852326, Average Loss  0.866862, Time  0.374301
2021-09-09 21:35:38.647815 : Epoch  7, Batch   1793, Loss  0.868754, Average Loss  0.866894, Time  0.358929
2021-09-09 21:35:40.456926 : Epoch  7, Batch   1794, Loss  0.874115, Average Loss  0.866978, Time  0.370811
2021-09-09 21:35:42.229880 : Epoch  7, Batch   1795, Loss  0.839801, Average Loss  0.866780, Time  0.358626
2021-09-09 21:35:44.041074 : Epoch  7, Batch   1796, Loss  0.861348, Average Loss  0.866693, Time  0.366025
2021-09-09 21:35:45.821785 : Epoch  7, Batch   1797, Loss  0.869345, Average Loss  0.866649, Time  0.356668
2021-09-09 21:35:47.662059 : Epoch  7, Batch   1798, Loss  0.860260, Average Loss  0.866392, Time  0.366894
2021-09-09 21:35:49.477763 : Epoch  7, Batch   1799, Loss  0.904750, Average Loss  0.866620, Time  0.358101
2021-09-09 21:35:51.299069 : Epoch  7, Batch   1800, Loss  0.881362, Average Loss  0.866673, Time  0.360270
2021-09-09 21:35:53.082683 : Epoch  7, Batch   1801, Loss  0.886574, Average Loss  0.866641, Time  0.358123
2021-09-09 21:35:54.918792 : Epoch  7, Batch   1802, Loss  0.848881, Average Loss  0.866732, Time  0.371833
2021-09-09 21:35:56.713218 : Epoch  7, Batch   1803, Loss  0.864257, Average Loss  0.866750, Time  0.360139
2021-09-09 21:35:58.515437 : Epoch  7, Batch   1804, Loss  0.902630, Average Loss  0.867157, Time  0.362667
2021-09-09 21:36:00.315773 : Epoch  7, Batch   1805, Loss  0.820985, Average Loss  0.866897, Time  0.361119
2021-09-09 21:36:02.136783 : Epoch  7, Batch   1806, Loss  0.824416, Average Loss  0.866835, Time  0.367772
2021-09-09 21:36:03.944768 : Epoch  7, Batch   1807, Loss  0.910681, Average Loss  0.866977, Time  0.361852
2021-09-09 21:36:05.740890 : Epoch  7, Batch   1808, Loss  0.891567, Average Loss  0.867207, Time  0.368275
2021-09-09 21:36:07.539773 : Epoch  7, Batch   1809, Loss  0.867995, Average Loss  0.867400, Time  0.363537
2021-09-09 21:36:09.357238 : Epoch  7, Batch   1810, Loss  0.915153, Average Loss  0.867651, Time  0.376370
2021-09-09 21:36:11.143093 : Epoch  7, Batch   1811, Loss  0.897248, Average Loss  0.867785, Time  0.361837
2021-09-09 21:36:12.953095 : Epoch  7, Batch   1812, Loss  0.864361, Average Loss  0.867836, Time  0.377561
2021-09-09 21:36:14.726768 : Epoch  7, Batch   1813, Loss  0.864047, Average Loss  0.867706, Time  0.365067
2021-09-09 21:36:16.514964 : Epoch  7, Batch   1814, Loss  0.890901, Average Loss  0.867649, Time  0.376836
2021-09-09 21:36:18.317776 : Epoch  7, Batch   1815, Loss  0.833531, Average Loss  0.867370, Time  0.365510
2021-09-09 21:36:20.130041 : Epoch  7, Batch   1816, Loss  0.871201, Average Loss  0.867330, Time  0.374393
2021-09-09 21:36:21.916832 : Epoch  7, Batch   1817, Loss  0.909490, Average Loss  0.867514, Time  0.358860
2021-09-09 21:36:23.703179 : Epoch  7, Batch   1818, Loss  0.872882, Average Loss  0.867597, Time  0.373027
2021-09-09 21:36:25.478108 : Epoch  7, Batch   1819, Loss  0.837262, Average Loss  0.867437, Time  0.360669
2021-09-09 21:36:27.274095 : Epoch  7, Batch   1820, Loss  0.851802, Average Loss  0.867372, Time  0.370728
2021-09-09 21:36:29.050573 : Epoch  7, Batch   1821, Loss  0.876357, Average Loss  0.867502, Time  0.359562
2021-09-09 21:36:30.835869 : Epoch  7, Batch   1822, Loss  0.870471, Average Loss  0.867498, Time  0.383809
2021-09-09 21:36:32.625777 : Epoch  7, Batch   1823, Loss  0.857847, Average Loss  0.867427, Time  0.362106
2021-09-09 21:36:34.436112 : Epoch  7, Batch   1824, Loss  0.851052, Average Loss  0.867385, Time  0.373517
2021-09-09 21:36:36.239774 : Epoch  7, Batch   1825, Loss  0.850239, Average Loss  0.867337, Time  0.376001
2021-09-09 21:36:38.050104 : Epoch  7, Batch   1826, Loss  0.867393, Average Loss  0.867410, Time  0.375695
2021-09-09 21:36:39.839588 : Epoch  7, Batch   1827, Loss  0.856187, Average Loss  0.867189, Time  0.360413
2021-09-09 21:36:41.646554 : Epoch  7, Batch   1828, Loss  0.844934, Average Loss  0.866977, Time  0.363391
2021-09-09 21:36:43.450783 : Epoch  7, Batch   1829, Loss  0.861159, Average Loss  0.866966, Time  0.368776
2021-09-09 21:36:45.257761 : Epoch  7, Batch   1830, Loss  0.850857, Average Loss  0.866846, Time  0.377666
2021-09-09 21:36:47.043761 : Epoch  7, Batch   1831, Loss  0.885606, Average Loss  0.866976, Time  0.363893
2021-09-09 21:36:48.879760 : Epoch  7, Batch   1832, Loss  0.879659, Average Loss  0.867059, Time  0.359793
2021-09-09 21:36:50.686933 : Epoch  7, Batch   1833, Loss  0.897153, Average Loss  0.867140, Time  0.371301
2021-09-09 21:36:52.486765 : Epoch  7, Batch   1834, Loss  0.873814, Average Loss  0.867059, Time  0.375024
2021-09-09 21:41:42.367725 : CheckPoint: Validation Loss  0.00058583, Best Loss  0.00056427
2021-09-09 21:41:44.223763 : Epoch  7, Batch   1835, Loss  0.882212, Average Loss  0.867230, Time  0.414743
2021-09-09 21:41:46.012776 : Epoch  7, Batch   1836, Loss  0.876220, Average Loss  0.867315, Time  0.358509
2021-09-09 21:41:47.837844 : Epoch  7, Batch   1837, Loss  0.858542, Average Loss  0.867310, Time  0.422051
2021-09-09 21:41:49.611775 : Epoch  7, Batch   1838, Loss  0.879294, Average Loss  0.867524, Time  0.371728
2021-09-09 21:41:51.486833 : Epoch  7, Batch   1839, Loss  0.900446, Average Loss  0.867580, Time  0.418720
2021-09-09 21:41:53.286781 : Epoch  7, Batch   1840, Loss  0.889885, Average Loss  0.867588, Time  0.359266
2021-09-09 21:41:55.088766 : Epoch  7, Batch   1841, Loss  0.897986, Average Loss  0.867681, Time  0.376516
2021-09-09 21:41:56.885100 : Epoch  7, Batch   1842, Loss  0.860855, Average Loss  0.867506, Time  0.363365
2021-09-09 21:41:58.702778 : Epoch  7, Batch   1843, Loss  0.853552, Average Loss  0.867387, Time  0.380028
2021-09-09 21:42:00.498604 : Epoch  7, Batch   1844, Loss  0.867569, Average Loss  0.867407, Time  0.362191
2021-09-09 21:42:02.282813 : Epoch  7, Batch   1845, Loss  0.855267, Average Loss  0.867380, Time  0.364814
2021-09-09 21:42:04.060033 : Epoch  7, Batch   1846, Loss  0.879692, Average Loss  0.867433, Time  0.360745
2021-09-09 21:42:05.855770 : Epoch  7, Batch   1847, Loss  0.872276, Average Loss  0.867269, Time  0.384836
2021-09-09 21:42:07.635088 : Epoch  7, Batch   1848, Loss  0.843001, Average Loss  0.867225, Time  0.360513
2021-09-09 21:42:09.440765 : Epoch  7, Batch   1849, Loss  0.858968, Average Loss  0.867137, Time  0.366162
2021-09-09 21:42:11.220782 : Epoch  7, Batch   1850, Loss  0.888140, Average Loss  0.867173, Time  0.370796
2021-09-09 21:42:13.007988 : Epoch  7, Batch   1851, Loss  0.860717, Average Loss  0.867116, Time  0.379202
2021-09-09 21:42:14.772099 : Epoch  7, Batch   1852, Loss  0.897755, Average Loss  0.867359, Time  0.364693
2021-09-09 21:42:16.597785 : Epoch  7, Batch   1853, Loss  0.843554, Average Loss  0.867162, Time  0.380021
2021-09-09 21:42:18.383035 : Epoch  7, Batch   1854, Loss  0.875549, Average Loss  0.867355, Time  0.359725
2021-09-09 21:42:20.189786 : Epoch  7, Batch   1855, Loss  0.901326, Average Loss  0.867492, Time  0.367155
2021-09-09 21:42:21.997924 : Epoch  7, Batch   1856, Loss  0.837792, Average Loss  0.867290, Time  0.366252
2021-09-09 21:42:23.811778 : Epoch  7, Batch   1857, Loss  0.855160, Average Loss  0.867145, Time  0.375634
2021-09-09 21:42:25.601459 : Epoch  7, Batch   1858, Loss  0.860313, Average Loss  0.866968, Time  0.361370
2021-09-09 21:42:27.390771 : Epoch  7, Batch   1859, Loss  0.847538, Average Loss  0.866783, Time  0.372755
2021-09-09 21:42:29.194898 : Epoch  7, Batch   1860, Loss  0.868912, Average Loss  0.866893, Time  0.365043
2021-09-09 21:42:30.997831 : Epoch  7, Batch   1861, Loss  0.830335, Average Loss  0.866815, Time  0.366375
2021-09-09 21:42:32.808829 : Epoch  7, Batch   1862, Loss  0.902441, Average Loss  0.866959, Time  0.359218
2021-09-09 21:42:34.587275 : Epoch  7, Batch   1863, Loss  0.912306, Average Loss  0.867189, Time  0.360400
2021-09-09 21:42:36.362858 : Epoch  7, Batch   1864, Loss  0.906862, Average Loss  0.867512, Time  0.358453
2021-09-09 21:42:38.163770 : Epoch  7, Batch   1865, Loss  0.862629, Average Loss  0.867431, Time  0.371005
2021-09-09 21:42:39.966111 : Epoch  7, Batch   1866, Loss  0.870988, Average Loss  0.867366, Time  0.358165
2021-09-09 21:42:41.777111 : Epoch  7, Batch   1867, Loss  0.877539, Average Loss  0.867328, Time  0.380392
2021-09-09 21:42:43.617778 : Epoch  7, Batch   1868, Loss  0.858928, Average Loss  0.867233, Time  0.358444
2021-09-09 21:42:45.410860 : Epoch  7, Batch   1869, Loss  0.878411, Average Loss  0.867205, Time  0.358260
2021-09-09 21:42:47.209776 : Epoch  7, Batch   1870, Loss  0.841787, Average Loss  0.866889, Time  0.360234
2021-09-09 21:42:49.023074 : Epoch  7, Batch   1871, Loss  0.871214, Average Loss  0.866882, Time  0.359215
2021-09-09 21:42:50.823911 : Epoch  7, Batch   1872, Loss  0.872262, Average Loss  0.866988, Time  0.356974
2021-09-09 21:42:52.636777 : Epoch  7, Batch   1873, Loss  0.841756, Average Loss  0.866817, Time  0.360513
2021-09-09 21:42:54.444879 : Epoch  7, Batch   1874, Loss  0.860154, Average Loss  0.866736, Time  0.358691
2021-09-09 21:42:56.240765 : Epoch  7, Batch   1875, Loss  0.875362, Average Loss  0.866790, Time  0.363093
2021-09-09 21:42:58.063758 : Epoch  7, Batch   1876, Loss  0.870483, Average Loss  0.866736, Time  0.369221
2021-09-09 21:42:59.873913 : Epoch  7, Batch   1877, Loss  0.838945, Average Loss  0.866656, Time  0.369357
2021-09-09 21:43:01.686772 : Epoch  7, Batch   1878, Loss  0.875131, Average Loss  0.866754, Time  0.367978
2021-09-09 21:43:03.478983 : Epoch  7, Batch   1879, Loss  0.863590, Average Loss  0.866741, Time  0.366653
2021-09-09 21:43:05.272778 : Epoch  7, Batch   1880, Loss  0.885323, Average Loss  0.866818, Time  0.357854
2021-09-09 21:43:07.085821 : Epoch  7, Batch   1881, Loss  0.843020, Average Loss  0.866804, Time  0.375142
2021-09-09 21:43:08.884764 : Epoch  7, Batch   1882, Loss  0.867268, Average Loss  0.866823, Time  0.359211
2021-09-09 21:43:10.691977 : Epoch  7, Batch   1883, Loss  0.877358, Average Loss  0.866725, Time  0.372154
2021-09-09 21:43:12.471804 : Epoch  7, Batch   1884, Loss  0.840800, Average Loss  0.866647, Time  0.358743
2021-09-09 21:43:14.280145 : Epoch  7, Batch   1885, Loss  0.879434, Average Loss  0.866709, Time  0.370212
2021-09-09 21:43:16.064781 : Epoch  7, Batch   1886, Loss  0.840183, Average Loss  0.866729, Time  0.358720
2021-09-09 21:43:17.882041 : Epoch  7, Batch   1887, Loss  0.827085, Average Loss  0.866527, Time  0.367675
2021-09-09 21:43:19.694949 : Epoch  7, Batch   1888, Loss  0.884894, Average Loss  0.866512, Time  0.357892
2021-09-09 21:43:21.513838 : Epoch  7, Batch   1889, Loss  0.873666, Average Loss  0.866573, Time  0.360415
2021-09-09 21:43:23.306683 : Epoch  7, Batch   1890, Loss  0.852140, Average Loss  0.866556, Time  0.358822
2021-09-09 21:43:25.096943 : Epoch  7, Batch   1891, Loss  0.872049, Average Loss  0.866394, Time  0.363305
2021-09-09 21:43:26.883062 : Epoch  7, Batch   1892, Loss  0.893996, Average Loss  0.866595, Time  0.358229
2021-09-09 21:43:28.697883 : Epoch  7, Batch   1893, Loss  0.858424, Average Loss  0.866509, Time  0.364594
2021-09-09 21:43:30.489081 : Epoch  7, Batch   1894, Loss  0.844131, Average Loss  0.866480, Time  0.358049
2021-09-09 21:43:32.293766 : Epoch  7, Batch   1895, Loss  0.849363, Average Loss  0.866397, Time  0.361135
2021-09-09 21:43:34.129941 : Epoch  7, Batch   1896, Loss  0.857354, Average Loss  0.866406, Time  0.358567
2021-09-09 21:43:35.923075 : Epoch  7, Batch   1897, Loss  0.860688, Average Loss  0.866547, Time  0.360842
2021-09-09 21:43:37.724782 : Epoch  7, Batch   1898, Loss  0.834917, Average Loss  0.866461, Time  0.358774
2021-09-09 21:43:39.534120 : Epoch  7, Batch   1899, Loss  0.884179, Average Loss  0.866606, Time  0.364632
2021-09-09 21:43:41.340082 : Epoch  7, Batch   1900, Loss  0.877197, Average Loss  0.866594, Time  0.360680
2021-09-09 21:43:43.143859 : Epoch  7, Batch   1901, Loss  0.902653, Average Loss  0.866858, Time  0.361900
2021-09-09 21:43:44.978067 : Epoch  7, Batch   1902, Loss  0.894831, Average Loss  0.866882, Time  0.357074
2021-09-09 21:43:46.782772 : Epoch  7, Batch   1903, Loss  0.848267, Average Loss  0.866859, Time  0.361885
2021-09-09 21:43:48.578775 : Epoch  7, Batch   1904, Loss  0.878614, Average Loss  0.866990, Time  0.358322
2021-09-09 21:43:50.402762 : Epoch  7, Batch   1905, Loss  0.883770, Average Loss  0.867008, Time  0.358639
2021-09-09 21:43:52.236791 : Epoch  7, Batch   1906, Loss  0.868022, Average Loss  0.867057, Time  0.360069
2021-09-09 21:43:54.033065 : Epoch  7, Batch   1907, Loss  0.864825, Average Loss  0.866970, Time  0.358683
2021-09-09 21:43:55.802463 : Epoch  7, Batch   1908, Loss  0.897223, Average Loss  0.867265, Time  0.360039
2021-09-09 21:43:57.598068 : Epoch  7, Batch   1909, Loss  0.873535, Average Loss  0.867487, Time  0.367875
2021-09-09 21:43:59.399856 : Epoch  7, Batch   1910, Loss  0.842009, Average Loss  0.867350, Time  0.358395
2021-09-09 21:44:01.228832 : Epoch  7, Batch   1911, Loss  0.851468, Average Loss  0.867356, Time  0.363294
2021-09-09 21:44:03.039058 : Epoch  7, Batch   1912, Loss  0.872518, Average Loss  0.867494, Time  0.358327
2021-09-09 21:44:04.845840 : Epoch  7, Batch   1913, Loss  0.857455, Average Loss  0.867461, Time  0.354944
2021-09-09 21:44:06.642071 : Epoch  7, Batch   1914, Loss  0.901553, Average Loss  0.867610, Time  0.358479
2021-09-09 21:44:08.456854 : Epoch  7, Batch   1915, Loss  0.869990, Average Loss  0.867552, Time  0.356439
2021-09-09 21:44:10.305903 : Epoch  7, Batch   1916, Loss  0.846114, Average Loss  0.867532, Time  0.411722
2021-09-09 21:44:12.107856 : Epoch  7, Batch   1917, Loss  0.878631, Average Loss  0.867588, Time  0.365096
2021-09-09 21:44:13.962773 : Epoch  7, Batch   1918, Loss  0.851936, Average Loss  0.867558, Time  0.434923
2021-09-09 21:44:15.801224 : Epoch  7, Batch   1919, Loss  0.887631, Average Loss  0.867765, Time  0.360060
2021-09-09 21:44:17.586682 : Epoch  7, Batch   1920, Loss  0.878500, Average Loss  0.867914, Time  0.360831
2021-09-09 21:44:19.354769 : Epoch  7, Batch   1921, Loss  0.889056, Average Loss  0.868037, Time  0.356709
2021-09-09 21:44:21.131702 : Epoch  7, Batch   1922, Loss  0.833808, Average Loss  0.867879, Time  0.366210
2021-09-09 21:44:22.997056 : Epoch  7, Batch   1923, Loss  0.896732, Average Loss  0.867926, Time  0.447030
2021-09-09 21:44:24.788107 : Epoch  7, Batch   1924, Loss  0.902705, Average Loss  0.868112, Time  0.363759
2021-09-09 21:44:26.605223 : Epoch  7, Batch   1925, Loss  0.835570, Average Loss  0.867874, Time  0.381930
2021-09-09 21:44:28.477803 : Epoch  7, Batch   1926, Loss  0.854399, Average Loss  0.867943, Time  0.456233
2021-09-09 21:44:30.254916 : Epoch  7, Batch   1927, Loss  0.864877, Average Loss  0.867912, Time  0.355481
2021-09-09 21:44:32.053845 : Epoch  7, Batch   1928, Loss  0.878711, Average Loss  0.867949, Time  0.366600
2021-09-09 21:44:33.882241 : Epoch  7, Batch   1929, Loss  0.898953, Average Loss  0.868186, Time  0.407167
2021-09-09 21:44:35.759579 : Epoch  7, Batch   1930, Loss  0.902845, Average Loss  0.868360, Time  0.453566
2021-09-09 21:44:37.520505 : Epoch  7, Batch   1931, Loss  0.872151, Average Loss  0.868310, Time  0.356560
2021-09-09 21:44:39.330093 : Epoch  7, Batch   1932, Loss  0.877375, Average Loss  0.868433, Time  0.357623
2021-09-09 21:44:41.131810 : Epoch  7, Batch   1933, Loss  0.851313, Average Loss  0.868381, Time  0.389206
2021-09-09 21:44:43.006920 : Epoch  7, Batch   1934, Loss  0.873204, Average Loss  0.868390, Time  0.455708
2021-09-09 21:46:30.150763 : Building dataset train from orignial text documents
2021-09-09 21:47:00.775126 : Finish Loading dataset train
2021-09-09 21:47:00.819630 : Data Shuffle
2021-09-09 21:47:00.870625 : Start Shuffling
2021-09-09 21:47:01.928656 : Finish Shuffling
2021-09-09 21:47:02.020672 : Generate Batch
2021-09-09 21:47:02.337646 : Building dataset valid from orignial text documents
2021-09-09 21:47:03.848671 : Finish Loading dataset valid
2021-09-09 21:47:03.911636 : Data Shuffle
2021-09-09 21:47:04.026629 : Start Shuffling
2021-09-09 21:47:04.144630 : Finish Shuffling
2021-09-09 21:47:04.218627 : Generate Batch
2021-09-09 21:47:04.499646 : There are 787 batches per epoch
2021-09-09 21:47:04.593641 : Batch Shuffled
2021-09-09 21:49:27.612960 : Building dataset train from orignial text documents
2021-09-09 21:49:34.889723 : CheckPoint: Validation Loss  0.00060964, Best Loss  0.00056427
2021-09-09 21:49:36.674991 : Epoch  7, Batch   1935, Loss  0.864807, Average Loss  0.868410, Time  0.359360
2021-09-09 21:49:38.484023 : Epoch  7, Batch   1936, Loss  0.888132, Average Loss  0.868481, Time  0.360576
2021-09-09 21:49:40.305231 : Epoch  7, Batch   1937, Loss  0.880534, Average Loss  0.868710, Time  0.362773
2021-09-09 21:49:42.236792 : Epoch  7, Batch   1938, Loss  0.886545, Average Loss  0.868695, Time  0.454958
2021-09-09 21:49:44.136529 : Epoch  7, Batch   1939, Loss  0.881552, Average Loss  0.868904, Time  0.440057
2021-09-09 21:49:45.925354 : Epoch  7, Batch   1940, Loss  0.869343, Average Loss  0.868961, Time  0.364803
2021-09-09 21:49:47.736645 : Epoch  7, Batch   1941, Loss  0.875172, Average Loss  0.868962, Time  0.358246
2021-09-09 21:49:49.605254 : Epoch  7, Batch   1942, Loss  0.867704, Average Loss  0.868908, Time  0.401268
2021-09-09 21:49:51.508328 : Epoch  7, Batch   1943, Loss  0.896385, Average Loss  0.869085, Time  0.451658
2021-09-09 21:49:53.270934 : Epoch  7, Batch   1944, Loss  0.841735, Average Loss  0.868803, Time  0.336648
2021-09-09 21:49:55.079574 : Epoch  7, Batch   1945, Loss  0.826286, Average Loss  0.868436, Time  0.368856
2021-09-09 21:49:56.470137 : Finish Loading dataset train
2021-09-09 21:49:56.563617 : Data Shuffle
2021-09-09 21:49:56.634623 : Start Shuffling
2021-09-09 21:49:56.908913 : Epoch  7, Batch   1946, Loss  0.888330, Average Loss  0.868439, Time  0.366700
2021-09-09 21:49:57.704305 : Finish Shuffling
2021-09-09 21:49:57.817647 : Generate Batch
2021-09-09 21:49:58.160655 : Building dataset valid from orignial text documents
2021-09-09 21:49:58.844417 : Epoch  7, Batch   1947, Loss  0.844530, Average Loss  0.868231, Time  0.473097
2021-09-09 21:49:59.571666 : Finish Loading dataset valid
2021-09-09 21:49:59.656615 : Data Shuffle
2021-09-09 21:49:59.752612 : Start Shuffling
2021-09-09 21:49:59.864621 : Finish Shuffling
2021-09-09 21:49:59.901636 : Generate Batch
2021-09-09 21:50:00.002629 : There are 787 batches per epoch
2021-09-09 21:50:00.041629 : Batch Shuffled
2021-09-09 21:50:00.713880 : Epoch  7, Batch   1948, Loss  0.880929, Average Loss  0.868276, Time  0.405234
2021-09-09 21:50:02.149702 : Epoch  1, Batch      1, Loss  1.203594, Average Loss  1.203594, Time  0.482229
2021-09-09 21:50:02.551772 : Epoch  7, Batch   1949, Loss  0.854341, Average Loss  0.868269, Time  0.390167
2021-09-09 21:50:04.053767 : Epoch  1, Batch      2, Loss  1.196514, Average Loss  1.200054, Time  0.258943
2021-09-09 21:50:04.325089 : Epoch  7, Batch   1950, Loss  0.859236, Average Loss  0.867986, Time  0.357344
2021-09-09 21:50:05.971783 : Epoch  1, Batch      3, Loss  1.198567, Average Loss  1.199558, Time  0.258075
2021-09-09 21:50:06.198756 : Epoch  7, Batch   1951, Loss  0.854041, Average Loss  0.867855, Time  0.450284
2021-09-09 21:50:07.880840 : Epoch  1, Batch      4, Loss  1.200476, Average Loss  1.199788, Time  0.258015
2021-09-09 21:50:07.998148 : Epoch  7, Batch   1952, Loss  0.871835, Average Loss  0.867746, Time  0.346821
2021-09-09 21:50:09.787866 : Epoch  1, Batch      5, Loss  1.192540, Average Loss  1.198338, Time  0.257747
2021-09-09 21:50:09.821283 : Epoch  7, Batch   1953, Loss  0.852885, Average Loss  0.867712, Time  0.359464
2021-09-09 21:50:11.641766 : Epoch  7, Batch   1954, Loss  0.889504, Average Loss  0.867674, Time  0.355634
2021-09-09 21:50:11.677125 : Epoch  1, Batch      6, Loss  1.188344, Average Loss  1.196672, Time  0.257766
2021-09-09 21:50:13.468349 : Epoch  7, Batch   1955, Loss  0.881255, Average Loss  0.867583, Time  0.411838
2021-09-09 21:50:13.558860 : Epoch  1, Batch      7, Loss  1.179265, Average Loss  1.194186, Time  0.258200
2021-09-09 21:50:15.254793 : Epoch  7, Batch   1956, Loss  0.855569, Average Loss  0.867522, Time  0.358840
2021-09-09 21:50:15.424839 : Epoch  1, Batch      8, Loss  1.170667, Average Loss  1.191246, Time  0.257783
2021-09-09 21:50:17.120212 : Epoch  7, Batch   1957, Loss  0.872322, Average Loss  0.867575, Time  0.420309
2021-09-09 21:50:17.339859 : Epoch  1, Batch      9, Loss  1.166312, Average Loss  1.188475, Time  0.284544
2021-09-09 21:50:18.922800 : Epoch  7, Batch   1958, Loss  0.869102, Average Loss  0.867579, Time  0.358202
2021-09-09 21:50:19.247913 : Epoch  1, Batch     10, Loss  1.153908, Average Loss  1.185019, Time  0.258296
2021-09-09 21:50:20.756920 : Epoch  7, Batch   1959, Loss  0.855360, Average Loss  0.867586, Time  0.369530
2021-09-09 21:50:21.126812 : Epoch  1, Batch     11, Loss  1.148462, Average Loss  1.181695, Time  0.257856
2021-09-09 21:50:22.530828 : Epoch  7, Batch   1960, Loss  0.868510, Average Loss  0.867626, Time  0.344158
2021-09-09 21:50:23.006840 : Epoch  1, Batch     12, Loss  1.138465, Average Loss  1.178093, Time  0.261650
2021-09-09 21:50:24.321780 : Epoch  7, Batch   1961, Loss  0.876046, Average Loss  0.867711, Time  0.358101
2021-09-09 21:50:24.902800 : Epoch  1, Batch     13, Loss  1.119267, Average Loss  1.173568, Time  0.258084
2021-09-09 21:50:26.218814 : Epoch  7, Batch   1962, Loss  0.873691, Average Loss  0.867766, Time  0.453080
2021-09-09 21:50:26.810040 : Epoch  1, Batch     14, Loss  1.107443, Average Loss  1.168844, Time  0.257654
2021-09-09 21:50:28.058963 : Epoch  7, Batch   1963, Loss  0.860384, Average Loss  0.867761, Time  0.358639
2021-09-09 21:50:28.714793 : Epoch  1, Batch     15, Loss  1.096650, Average Loss  1.164032, Time  0.257715
2021-09-09 21:50:29.871081 : Epoch  7, Batch   1964, Loss  0.872764, Average Loss  0.867817, Time  0.355618
2021-09-09 21:50:30.614060 : Epoch  1, Batch     16, Loss  1.081869, Average Loss  1.158896, Time  0.257874
2021-09-09 21:50:31.704916 : Epoch  7, Batch   1965, Loss  0.907710, Average Loss  0.868037, Time  0.403636
2021-09-09 21:50:32.530772 : Epoch  1, Batch     17, Loss  1.078517, Average Loss  1.154168, Time  0.258530
2021-09-09 21:50:33.608882 : Epoch  7, Batch   1966, Loss  0.860658, Average Loss  0.868010, Time  0.454005
2021-09-09 21:50:34.424788 : Epoch  1, Batch     18, Loss  1.064830, Average Loss  1.149205, Time  0.257583
2021-09-09 21:50:35.446931 : Epoch  7, Batch   1967, Loss  0.878081, Average Loss  0.868291, Time  0.355350
2021-09-09 21:50:36.322830 : Epoch  1, Batch     19, Loss  1.058392, Average Loss  1.144425, Time  0.257890
2021-09-09 21:50:37.266789 : Epoch  7, Batch   1968, Loss  0.851695, Average Loss  0.868309, Time  0.358298
2021-09-09 21:50:38.232057 : Epoch  1, Batch     20, Loss  1.044201, Average Loss  1.139414, Time  0.257670
2021-09-09 21:50:39.060000 : Epoch  7, Batch   1969, Loss  0.870808, Average Loss  0.868384, Time  0.356018
2021-09-09 21:50:40.130759 : Epoch  1, Batch     21, Loss  1.038471, Average Loss  1.134607, Time  0.257874
2021-09-09 21:50:40.951804 : Epoch  7, Batch   1970, Loss  0.842487, Average Loss  0.868337, Time  0.465061
2021-09-09 21:50:42.040991 : Epoch  1, Batch     22, Loss  1.035199, Average Loss  1.130089, Time  0.258654
2021-09-09 21:50:42.727774 : Epoch  7, Batch   1971, Loss  0.874110, Average Loss  0.868346, Time  0.364845
2021-09-09 21:50:43.943775 : Epoch  1, Batch     23, Loss  1.027261, Average Loss  1.125618, Time  0.258163
2021-09-09 21:50:44.508835 : Epoch  7, Batch   1972, Loss  0.898534, Average Loss  0.868458, Time  0.358443
2021-09-09 21:50:45.849858 : Epoch  1, Batch     24, Loss  1.017529, Average Loss  1.121114, Time  0.258549
2021-09-09 21:50:46.323162 : Epoch  7, Batch   1973, Loss  0.857184, Average Loss  0.868376, Time  0.366092
2021-09-09 21:50:47.760780 : Epoch  1, Batch     25, Loss  1.017518, Average Loss  1.116970, Time  0.258390
2021-09-09 21:50:48.197807 : Epoch  7, Batch   1974, Loss  0.862459, Average Loss  0.868486, Time  0.459254
2021-09-09 21:50:49.657921 : Epoch  1, Batch     26, Loss  1.011643, Average Loss  1.112919, Time  0.269542
2021-09-09 21:50:49.981246 : Epoch  7, Batch   1975, Loss  0.875273, Average Loss  0.868514, Time  0.357194
2021-09-09 21:50:51.525775 : Epoch  1, Batch     27, Loss  1.005445, Average Loss  1.108939, Time  0.258503
2021-09-09 21:50:51.754875 : Epoch  7, Batch   1976, Loss  0.863955, Average Loss  0.868532, Time  0.367858
2021-09-09 21:50:53.398013 : Epoch  1, Batch     28, Loss  1.008394, Average Loss  1.105348, Time  0.258338
2021-09-09 21:50:53.556807 : Epoch  7, Batch   1977, Loss  0.854414, Average Loss  0.868441, Time  0.393086
2021-09-09 21:50:55.262763 : Epoch  1, Batch     29, Loss  0.997489, Average Loss  1.101629, Time  0.258116
2021-09-09 21:50:55.417979 : Epoch  7, Batch   1978, Loss  0.872216, Average Loss  0.868469, Time  0.456126
2021-09-09 21:50:57.146132 : Epoch  1, Batch     30, Loss  0.989194, Average Loss  1.097881, Time  0.258361
2021-09-09 21:50:57.189772 : Epoch  7, Batch   1979, Loss  0.873338, Average Loss  0.868597, Time  0.361823
2021-09-09 21:50:58.992823 : Epoch  7, Batch   1980, Loss  0.887273, Average Loss  0.868723, Time  0.364859
2021-09-09 21:50:59.025311 : Epoch  1, Batch     31, Loss  0.993135, Average Loss  1.094502, Time  0.258445
2021-09-09 21:51:00.815916 : Epoch  7, Batch   1981, Loss  0.890785, Average Loss  0.868904, Time  0.382530
2021-09-09 21:51:00.909783 : Epoch  1, Batch     32, Loss  0.990477, Average Loss  1.091251, Time  0.258251
2021-09-09 21:51:02.776357 : Epoch  7, Batch   1982, Loss  0.865836, Average Loss  0.868848, Time  0.462869
2021-09-09 21:51:02.894862 : Epoch  1, Batch     33, Loss  0.986780, Average Loss  1.088085, Time  0.261503
2021-09-09 21:51:04.627912 : Epoch  7, Batch   1983, Loss  0.899340, Average Loss  0.869045, Time  0.429548
2021-09-09 21:51:04.777795 : Epoch  1, Batch     34, Loss  0.982607, Average Loss  1.084983, Time  0.265146
2021-09-09 21:51:06.408858 : Epoch  7, Batch   1984, Loss  0.875823, Average Loss  0.869021, Time  0.357119
2021-09-09 21:51:06.644902 : Epoch  1, Batch     35, Loss  0.978507, Average Loss  1.081941, Time  0.260745
2021-09-09 21:51:08.208768 : Epoch  7, Batch   1985, Loss  0.880835, Average Loss  0.869054, Time  0.366537
2021-09-09 21:51:08.524787 : Epoch  1, Batch     36, Loss  0.977541, Average Loss  1.079041, Time  0.264030
2021-09-09 21:51:10.056260 : Epoch  7, Batch   1986, Loss  0.873612, Average Loss  0.869104, Time  0.425400
2021-09-09 21:51:10.401758 : Epoch  1, Batch     37, Loss  0.974163, Average Loss  1.076206, Time  0.263029
2021-09-09 21:51:11.967912 : Epoch  7, Batch   1987, Loss  0.863566, Average Loss  0.869208, Time  0.465428
2021-09-09 21:51:12.292865 : Epoch  1, Batch     38, Loss  0.973565, Average Loss  1.073505, Time  0.261717
2021-09-09 21:51:13.762779 : Epoch  7, Batch   1988, Loss  0.931278, Average Loss  0.869581, Time  0.350520
2021-09-09 21:51:14.209842 : Epoch  1, Batch     39, Loss  0.971541, Average Loss  1.070891, Time  0.261989
2021-09-09 21:51:15.571236 : Epoch  7, Batch   1989, Loss  0.870873, Average Loss  0.869835, Time  0.374942
2021-09-09 21:51:16.121773 : Epoch  1, Batch     40, Loss  0.963066, Average Loss  1.068195, Time  0.264305
2021-09-09 21:51:17.375779 : Epoch  7, Batch   1990, Loss  0.885445, Average Loss  0.869941, Time  0.358022
2021-09-09 21:51:17.998812 : Epoch  1, Batch     41, Loss  0.968988, Average Loss  1.065775, Time  0.259342
2021-09-09 21:51:19.295230 : Epoch  7, Batch   1991, Loss  0.847445, Average Loss  0.869714, Time  0.454411
2021-09-09 21:51:19.891875 : Epoch  1, Batch     42, Loss  0.968105, Average Loss  1.063450, Time  0.264494
2021-09-09 21:51:21.094786 : Epoch  7, Batch   1992, Loss  0.881380, Average Loss  0.869860, Time  0.375042
2021-09-09 21:51:21.800810 : Epoch  1, Batch     43, Loss  0.964400, Average Loss  1.061146, Time  0.267250
2021-09-09 21:51:22.895832 : Epoch  7, Batch   1993, Loss  0.892463, Average Loss  0.869978, Time  0.362074
2021-09-09 21:51:23.675863 : Epoch  1, Batch     44, Loss  0.957812, Average Loss  1.058798, Time  0.258043
2021-09-09 21:51:24.686778 : Epoch  7, Batch   1994, Loss  0.879131, Average Loss  0.870003, Time  0.364451
2021-09-09 21:51:25.546325 : Epoch  1, Batch     45, Loss  0.962203, Average Loss  1.056651, Time  0.258426
2021-09-09 21:51:26.590284 : Epoch  7, Batch   1995, Loss  0.865173, Average Loss  0.870130, Time  0.461889
2021-09-09 21:51:27.434920 : Epoch  1, Batch     46, Loss  0.964758, Average Loss  1.054654, Time  0.262051
2021-09-09 21:51:28.496138 : Epoch  7, Batch   1996, Loss  0.861450, Average Loss  0.870131, Time  0.451443
2021-09-09 21:51:29.307109 : Epoch  1, Batch     47, Loss  0.957885, Average Loss  1.052595, Time  0.263008
2021-09-09 21:51:30.279567 : Epoch  7, Batch   1997, Loss  0.861697, Average Loss  0.870092, Time  0.357604
2021-09-09 21:51:31.200067 : Epoch  1, Batch     48, Loss  0.960296, Average Loss  1.050672, Time  0.261904
2021-09-09 21:51:32.081868 : Epoch  7, Batch   1998, Loss  0.847458, Average Loss  0.870028, Time  0.359245
2021-09-09 21:51:33.069868 : Epoch  1, Batch     49, Loss  0.952893, Average Loss  1.048676, Time  0.261878
2021-09-09 21:51:33.918787 : Epoch  7, Batch   1999, Loss  0.895324, Average Loss  0.869981, Time  0.385782
2021-09-09 21:51:34.980915 : Epoch  1, Batch     50, Loss  0.958209, Average Loss  1.046867, Time  0.261887
2021-09-09 21:51:35.827782 : Epoch  7, Batch   2000, Loss  0.872484, Average Loss  0.869937, Time  0.461188
2021-09-09 21:51:36.865799 : Epoch  1, Batch     51, Loss  0.955711, Average Loss  1.045080, Time  0.262694
2021-09-09 21:51:37.589953 : Epoch  7, Batch   2001, Loss  0.876271, Average Loss  0.869885, Time  0.341152
2021-09-09 21:51:38.772992 : Epoch  1, Batch     52, Loss  0.956622, Average Loss  1.043379, Time  0.265207
2021-09-09 21:51:39.369776 : Epoch  7, Batch   2002, Loss  0.846835, Average Loss  0.869875, Time  0.362544
2021-09-09 21:51:40.687859 : Epoch  1, Batch     53, Loss  0.951466, Average Loss  1.041644, Time  0.258045
2021-09-09 21:51:41.160111 : Epoch  7, Batch   2003, Loss  0.895923, Average Loss  0.870033, Time  0.356014
2021-09-09 21:51:42.586830 : Epoch  1, Batch     54, Loss  0.957025, Average Loss  1.040077, Time  0.258308
2021-09-09 21:51:43.043221 : Epoch  7, Batch   2004, Loss  0.897053, Average Loss  0.870006, Time  0.471576
2021-09-09 21:51:44.465494 : Epoch  1, Batch     55, Loss  0.955039, Average Loss  1.038531, Time  0.258060
2021-09-09 21:51:44.803411 : Epoch  7, Batch   2005, Loss  0.872437, Average Loss  0.870263, Time  0.355963
2021-09-09 21:51:46.325850 : Epoch  1, Batch     56, Loss  0.954686, Average Loss  1.037034, Time  0.258719
2021-09-09 21:51:46.566776 : Epoch  7, Batch   2006, Loss  0.844360, Average Loss  0.870363, Time  0.359141
2021-09-09 21:51:48.196791 : Epoch  1, Batch     57, Loss  0.952088, Average Loss  1.035544, Time  0.260355
2021-09-09 21:51:48.372330 : Epoch  7, Batch   2007, Loss  0.849651, Average Loss  0.870057, Time  0.391152
2021-09-09 21:51:50.075876 : Epoch  1, Batch     58, Loss  0.945309, Average Loss  1.033988, Time  0.261319
2021-09-09 21:51:50.244847 : Epoch  7, Batch   2008, Loss  0.861226, Average Loss  0.869906, Time  0.452793
2021-09-09 21:51:51.950773 : Epoch  1, Batch     59, Loss  0.949902, Average Loss  1.032563, Time  0.263116
2021-09-09 21:51:52.056124 : Epoch  7, Batch   2009, Loss  0.933817, Average Loss  0.870235, Time  0.358607
2021-09-09 21:51:53.831770 : Epoch  7, Batch   2010, Loss  0.857543, Average Loss  0.869947, Time  0.357635
2021-09-09 21:51:53.942848 : Epoch  1, Batch     60, Loss  0.947165, Average Loss  1.031139, Time  0.309748
2021-09-09 21:51:55.700381 : Epoch  7, Batch   2011, Loss  0.914403, Average Loss  0.870033, Time  0.355822
2021-09-09 21:51:55.852121 : Epoch  1, Batch     61, Loss  0.948277, Average Loss  1.029781, Time  0.258379
2021-09-09 21:51:57.583765 : Epoch  7, Batch   2012, Loss  0.851730, Average Loss  0.869969, Time  0.459935
2021-09-09 21:51:57.733787 : Epoch  1, Batch     62, Loss  0.941546, Average Loss  1.028358, Time  0.263385
2021-09-09 21:51:59.378385 : Epoch  7, Batch   2013, Loss  0.860925, Average Loss  0.869954, Time  0.362978
2021-09-09 21:51:59.609158 : Epoch  1, Batch     63, Loss  0.943244, Average Loss  1.027007, Time  0.261677
2021-09-09 21:52:01.163774 : Epoch  7, Batch   2014, Loss  0.863459, Average Loss  0.869817, Time  0.359793
2021-09-09 21:52:01.479844 : Epoch  1, Batch     64, Loss  0.942410, Average Loss  1.025685, Time  0.262383
2021-09-09 21:52:02.993876 : Epoch  7, Batch   2015, Loss  0.889522, Average Loss  0.870096, Time  0.378456
2021-09-09 21:52:03.368749 : Epoch  1, Batch     65, Loss  0.952624, Average Loss  1.024561, Time  0.261819
2021-09-09 21:52:04.876147 : Epoch  7, Batch   2016, Loss  0.848646, Average Loss  0.869984, Time  0.453249
2021-09-09 21:52:05.242720 : Epoch  1, Batch     66, Loss  0.937001, Average Loss  1.023234, Time  0.259456
2021-09-09 21:52:06.665875 : Epoch  7, Batch   2017, Loss  0.870412, Average Loss  0.869788, Time  0.359798
2021-09-09 21:52:07.107079 : Epoch  1, Batch     67, Loss  0.941539, Average Loss  1.022015, Time  0.261640
2021-09-09 21:52:08.461896 : Epoch  7, Batch   2018, Loss  0.863204, Average Loss  0.869740, Time  0.357868
2021-09-09 21:52:08.984778 : Epoch  1, Batch     68, Loss  0.930191, Average Loss  1.020665, Time  0.261659
2021-09-09 21:52:10.260775 : Epoch  7, Batch   2019, Loss  0.885208, Average Loss  0.869980, Time  0.363812
2021-09-09 21:52:10.853486 : Epoch  1, Batch     69, Loss  0.932932, Average Loss  1.019393, Time  0.263110
2021-09-09 21:52:12.150805 : Epoch  7, Batch   2020, Loss  0.856852, Average Loss  0.870005, Time  0.462677
2021-09-09 21:52:12.732810 : Epoch  1, Batch     70, Loss  0.928017, Average Loss  1.018088, Time  0.261608
2021-09-09 21:52:13.977965 : Epoch  7, Batch   2021, Loss  0.871262, Average Loss  0.869979, Time  0.382481
2021-09-09 21:52:14.606851 : Epoch  1, Batch     71, Loss  0.924489, Average Loss  1.016770, Time  0.268548
2021-09-09 21:52:15.791846 : Epoch  7, Batch   2022, Loss  0.877568, Average Loss  0.870015, Time  0.359630
2021-09-09 21:52:16.503081 : Epoch  1, Batch     72, Loss  0.918195, Average Loss  1.015400, Time  0.258012
2021-09-09 21:52:17.596269 : Epoch  7, Batch   2023, Loss  0.873064, Average Loss  0.870091, Time  0.368886
2021-09-09 21:52:18.381790 : Epoch  1, Batch     73, Loss  0.914415, Average Loss  1.014017, Time  0.262547
2021-09-09 21:52:19.512951 : Epoch  7, Batch   2024, Loss  0.848144, Average Loss  0.870076, Time  0.442238
2021-09-09 21:52:20.249799 : Epoch  1, Batch     74, Loss  0.909342, Average Loss  1.012603, Time  0.258335
2021-09-09 21:52:21.445779 : Epoch  7, Batch   2025, Loss  0.871516, Average Loss  0.870183, Time  0.461426
2021-09-09 21:52:22.142856 : Epoch  1, Batch     75, Loss  0.897248, Average Loss  1.011064, Time  0.258510
2021-09-09 21:52:23.201252 : Epoch  7, Batch   2026, Loss  0.888841, Average Loss  0.870290, Time  0.340185
2021-09-09 21:52:24.015108 : Epoch  1, Batch     76, Loss  0.886687, Average Loss  1.009428, Time  0.257924
2021-09-09 21:52:24.989884 : Epoch  7, Batch   2027, Loss  0.877795, Average Loss  0.870398, Time  0.363267
2021-09-09 21:52:25.909780 : Epoch  1, Batch     77, Loss  0.868892, Average Loss  1.007603, Time  0.259177
2021-09-09 21:52:26.792304 : Epoch  7, Batch   2028, Loss  0.850201, Average Loss  0.870424, Time  0.373578
2021-09-09 21:52:27.805775 : Epoch  1, Batch     78, Loss  0.853432, Average Loss  1.005626, Time  0.261111
2021-09-09 21:52:28.709210 : Epoch  7, Batch   2029, Loss  0.843298, Average Loss  0.870335, Time  0.457916
2021-09-09 21:52:29.695890 : Epoch  1, Batch     79, Loss  0.840505, Average Loss  1.003536, Time  0.258515
2021-09-09 21:52:30.491246 : Epoch  7, Batch   2030, Loss  0.874367, Average Loss  0.870453, Time  0.359329
2021-09-09 21:52:31.585883 : Epoch  1, Batch     80, Loss  0.830470, Average Loss  1.001373, Time  0.257915
2021-09-09 21:52:32.306127 : Epoch  7, Batch   2031, Loss  0.862706, Average Loss  0.870338, Time  0.366034
2021-09-09 21:52:33.476776 : Epoch  1, Batch     81, Loss  0.828029, Average Loss  0.999233, Time  0.263965
2021-09-09 21:52:34.122851 : Epoch  7, Batch   2032, Loss  0.869801, Average Loss  0.870289, Time  0.360425
2021-09-09 21:52:35.387785 : Epoch  1, Batch     82, Loss  0.824378, Average Loss  0.997100, Time  0.258210
2021-09-09 21:52:36.045915 : Epoch  7, Batch   2033, Loss  0.843816, Average Loss  0.870022, Time  0.451530
2021-09-09 21:52:37.287869 : Epoch  1, Batch     83, Loss  0.819801, Average Loss  0.994964, Time  0.262372
2021-09-09 21:52:37.920826 : Epoch  7, Batch   2034, Loss  0.840680, Average Loss  0.869857, Time  0.423421
2021-09-09 21:52:39.193120 : Epoch  1, Batch     84, Loss  0.823979, Average Loss  0.992929, Time  0.265532
2021-09-09 21:52:41.101916 : Epoch  1, Batch     85, Loss  0.824237, Average Loss  0.990944, Time  0.262253
2021-09-09 21:52:43.009207 : Epoch  1, Batch     86, Loss  0.816514, Average Loss  0.988916, Time  0.260995
2021-09-09 21:52:44.883920 : Epoch  1, Batch     87, Loss  0.801368, Average Loss  0.986760, Time  0.258795
2021-09-09 21:52:46.789916 : Epoch  1, Batch     88, Loss  0.793707, Average Loss  0.984566, Time  0.261638
2021-09-09 21:52:48.672874 : Epoch  1, Batch     89, Loss  0.788211, Average Loss  0.982360, Time  0.258245
2021-09-09 21:52:50.547922 : Epoch  1, Batch     90, Loss  0.767863, Average Loss  0.979977, Time  0.268321
2021-09-09 21:52:52.438834 : Epoch  1, Batch     91, Loss  0.780080, Average Loss  0.977780, Time  0.264921
2021-09-09 21:52:54.313112 : Epoch  1, Batch     92, Loss  0.764482, Average Loss  0.975462, Time  0.261341
2021-09-09 21:52:56.184620 : Epoch  1, Batch     93, Loss  0.741499, Average Loss  0.972946, Time  0.267464
2021-09-09 21:52:58.091835 : Epoch  1, Batch     94, Loss  0.733718, Average Loss  0.970401, Time  0.263690
2021-09-09 21:52:59.956905 : Epoch  1, Batch     95, Loss  0.731692, Average Loss  0.967888, Time  0.258384
2021-09-09 21:53:01.853851 : Epoch  1, Batch     96, Loss  0.725033, Average Loss  0.965358, Time  0.265577
2021-09-09 21:53:03.768839 : Epoch  1, Batch     97, Loss  0.709233, Average Loss  0.962718, Time  0.261735
2021-09-09 21:53:05.649087 : Epoch  1, Batch     98, Loss  0.694850, Average Loss  0.959985, Time  0.261439
2021-09-09 21:53:07.550791 : Epoch  1, Batch     99, Loss  0.693606, Average Loss  0.957294, Time  0.258801
2021-09-09 21:53:09.436780 : Epoch  1, Batch    100, Loss  0.688208, Average Loss  0.954603, Time  0.262789
2021-09-09 21:54:19.277741 : CheckPoint: Validation Loss  0.00028016, Best Loss  0.00028016
2021-09-09 21:54:19.314639 : Best Model Updated
2021-09-09 21:54:22.407883 : Epoch  1, Batch    101, Loss  0.688301, Average Loss  0.951966, Time  0.269258
2021-09-09 21:54:24.296775 : Epoch  1, Batch    102, Loss  0.677868, Average Loss  0.949279, Time  0.261658
2021-09-09 21:54:26.188814 : Epoch  1, Batch    103, Loss  0.674138, Average Loss  0.946608, Time  0.258249
2021-09-09 21:54:28.075831 : Epoch  1, Batch    104, Loss  0.678539, Average Loss  0.944030, Time  0.259007
2021-09-09 21:54:29.972872 : Epoch  1, Batch    105, Loss  0.681777, Average Loss  0.941533, Time  0.259914
2021-09-09 21:54:31.871882 : Epoch  1, Batch    106, Loss  0.663797, Average Loss  0.938913, Time  0.258735
2021-09-09 21:54:33.807932 : Epoch  1, Batch    107, Loss  0.670229, Average Loss  0.936401, Time  0.269651
2021-09-09 21:54:35.709787 : Epoch  1, Batch    108, Loss  0.650871, Average Loss  0.933758, Time  0.262029
2021-09-09 21:54:37.580929 : Epoch  1, Batch    109, Loss  0.664875, Average Loss  0.931291, Time  0.260512
2021-09-09 21:54:39.469011 : Epoch  1, Batch    110, Loss  0.679067, Average Loss  0.928998, Time  0.263482
2021-09-09 21:54:41.347069 : Epoch  1, Batch    111, Loss  0.673093, Average Loss  0.926692, Time  0.263964
2021-09-09 21:54:43.235794 : Epoch  1, Batch    112, Loss  0.666849, Average Loss  0.924372, Time  0.262621
2021-09-09 21:54:45.141795 : Epoch  1, Batch    113, Loss  0.661894, Average Loss  0.922050, Time  0.266484
2021-09-09 21:54:47.035894 : Epoch  1, Batch    114, Loss  0.660906, Average Loss  0.919759, Time  0.261961
2021-09-09 21:54:48.957783 : Epoch  1, Batch    115, Loss  0.656751, Average Loss  0.917472, Time  0.273052
2021-09-09 21:54:50.869837 : Epoch  1, Batch    116, Loss  0.649620, Average Loss  0.915163, Time  0.273737
2021-09-09 21:54:52.747944 : Epoch  1, Batch    117, Loss  0.652185, Average Loss  0.912915, Time  0.259759
2021-09-09 21:54:54.671173 : Epoch  1, Batch    118, Loss  0.668812, Average Loss  0.910846, Time  0.266337
2021-09-09 21:54:56.565854 : Epoch  1, Batch    119, Loss  0.657103, Average Loss  0.908714, Time  0.259124
2021-09-09 21:54:58.451924 : Epoch  1, Batch    120, Loss  0.656008, Average Loss  0.906608, Time  0.258421
2021-09-09 21:55:00.330903 : Epoch  1, Batch    121, Loss  0.656149, Average Loss  0.904538, Time  0.258364
2021-09-09 21:55:02.217085 : Epoch  1, Batch    122, Loss  0.657510, Average Loss  0.902514, Time  0.258110
2021-09-09 21:55:04.104828 : Epoch  1, Batch    123, Loss  0.658655, Average Loss  0.900531, Time  0.265266
2021-09-09 21:55:06.002799 : Epoch  1, Batch    124, Loss  0.648444, Average Loss  0.898498, Time  0.266446
2021-09-09 21:55:07.886088 : Epoch  1, Batch    125, Loss  0.646882, Average Loss  0.896485, Time  0.258595
2021-09-09 21:55:09.781156 : Epoch  1, Batch    126, Loss  0.659232, Average Loss  0.894602, Time  0.266081
2021-09-09 21:55:11.657846 : Epoch  1, Batch    127, Loss  0.643461, Average Loss  0.892625, Time  0.258968
2021-09-09 21:55:13.547805 : Epoch  1, Batch    128, Loss  0.664321, Average Loss  0.890841, Time  0.264288
2021-09-09 21:55:15.411002 : Epoch  1, Batch    129, Loss  0.652109, Average Loss  0.888990, Time  0.258929
2021-09-09 21:55:17.285818 : Epoch  1, Batch    130, Loss  0.647454, Average Loss  0.887132, Time  0.261466
2021-09-09 21:55:19.162779 : Epoch  1, Batch    131, Loss  0.647414, Average Loss  0.885302, Time  0.261224
2021-09-09 21:55:21.055523 : Epoch  1, Batch    132, Loss  0.646411, Average Loss  0.883493, Time  0.258190
2021-09-09 21:55:22.946939 : Epoch  1, Batch    133, Loss  0.652798, Average Loss  0.881758, Time  0.273113
2021-09-09 21:55:24.841095 : Epoch  1, Batch    134, Loss  0.646492, Average Loss  0.880002, Time  0.264535
2021-09-09 21:55:26.730525 : Epoch  1, Batch    135, Loss  0.651780, Average Loss  0.878312, Time  0.258090
2021-09-09 21:55:28.598521 : Epoch  1, Batch    136, Loss  0.655599, Average Loss  0.876674, Time  0.261872
2021-09-09 21:55:30.487947 : Epoch  1, Batch    137, Loss  0.640396, Average Loss  0.874950, Time  0.266491
2021-09-09 21:55:32.377799 : Epoch  1, Batch    138, Loss  0.635362, Average Loss  0.873214, Time  0.261046
2021-09-09 21:55:34.260910 : Epoch  1, Batch    139, Loss  0.644080, Average Loss  0.871565, Time  0.265424
2021-09-09 21:55:36.148124 : Epoch  1, Batch    140, Loss  0.648617, Average Loss  0.869973, Time  0.262278
2021-09-09 21:55:38.047806 : Epoch  1, Batch    141, Loss  0.639922, Average Loss  0.868341, Time  0.261976
2021-09-09 21:55:39.918571 : Epoch  1, Batch    142, Loss  0.651467, Average Loss  0.866814, Time  0.261401
2021-09-09 21:55:41.791089 : Epoch  1, Batch    143, Loss  0.649740, Average Loss  0.865296, Time  0.259349
2021-09-09 21:55:43.700110 : Epoch  1, Batch    144, Loss  0.641746, Average Loss  0.863743, Time  0.267951
2021-09-09 21:55:45.606822 : Epoch  1, Batch    145, Loss  0.647132, Average Loss  0.862249, Time  0.262206
2021-09-09 21:55:47.498092 : Epoch  1, Batch    146, Loss  0.641670, Average Loss  0.860739, Time  0.263852
2021-09-09 21:55:49.395822 : Epoch  1, Batch    147, Loss  0.647703, Average Loss  0.859289, Time  0.261989
2021-09-09 21:55:51.296081 : Epoch  1, Batch    148, Loss  0.660024, Average Loss  0.857943, Time  0.259320
2021-09-09 21:55:53.170935 : Epoch  1, Batch    149, Loss  0.649999, Average Loss  0.856547, Time  0.258175
2021-09-09 21:55:55.053980 : Epoch  1, Batch    150, Loss  0.654763, Average Loss  0.855202, Time  0.258232
2021-09-09 21:55:56.928097 : Epoch  1, Batch    151, Loss  0.645801, Average Loss  0.853815, Time  0.257608
2021-09-09 21:55:58.824802 : Epoch  1, Batch    152, Loss  0.646733, Average Loss  0.852453, Time  0.260338
2021-09-09 21:56:00.705843 : Epoch  1, Batch    153, Loss  0.649158, Average Loss  0.851124, Time  0.258258
2021-09-09 21:56:02.583132 : Epoch  1, Batch    154, Loss  0.647537, Average Loss  0.849802, Time  0.268390
2021-09-09 21:56:04.470093 : Epoch  1, Batch    155, Loss  0.647210, Average Loss  0.848495, Time  0.265373
2021-09-09 21:56:06.370813 : Epoch  1, Batch    156, Loss  0.656109, Average Loss  0.847262, Time  0.263551
2021-09-09 21:56:08.327777 : Epoch  1, Batch    157, Loss  0.640257, Average Loss  0.845944, Time  0.258360
2021-09-09 21:56:10.223082 : Epoch  1, Batch    158, Loss  0.641496, Average Loss  0.844650, Time  0.262566
2021-09-09 21:56:12.115772 : Epoch  1, Batch    159, Loss  0.651367, Average Loss  0.843434, Time  0.257864
2021-09-09 21:56:14.019043 : Epoch  1, Batch    160, Loss  0.639867, Average Loss  0.842162, Time  0.257959
2021-09-09 21:56:15.930816 : Epoch  1, Batch    161, Loss  0.649323, Average Loss  0.840964, Time  0.258227
2021-09-09 21:56:17.853066 : Epoch  1, Batch    162, Loss  0.645058, Average Loss  0.839755, Time  0.257946
2021-09-09 21:56:19.748102 : Epoch  1, Batch    163, Loss  0.646853, Average Loss  0.838571, Time  0.258297
2021-09-09 21:56:21.658861 : Epoch  1, Batch    164, Loss  0.644586, Average Loss  0.837388, Time  0.263639
2021-09-09 21:56:23.564962 : Epoch  1, Batch    165, Loss  0.644406, Average Loss  0.836219, Time  0.260663
2021-09-09 21:56:25.438750 : Epoch  1, Batch    166, Loss  0.646305, Average Loss  0.835075, Time  0.258232
2021-09-09 21:56:27.350857 : Epoch  1, Batch    167, Loss  0.638783, Average Loss  0.833899, Time  0.262800
2021-09-09 21:56:29.260785 : Epoch  1, Batch    168, Loss  0.636406, Average Loss  0.832724, Time  0.258084
2021-09-09 21:56:31.158841 : Epoch  1, Batch    169, Loss  0.641043, Average Loss  0.831590, Time  0.257982
2021-09-09 21:56:33.051840 : Epoch  1, Batch    170, Loss  0.643888, Average Loss  0.830485, Time  0.257700
2021-09-09 21:56:37.084073 : Epoch  1, Batch    171, Loss  0.648182, Average Loss  0.829419, Time  0.269407
2021-09-09 21:56:39.004826 : Epoch  1, Batch    172, Loss  0.648870, Average Loss  0.828370, Time  0.259272
2021-09-09 21:56:40.868627 : Epoch  1, Batch    173, Loss  0.652405, Average Loss  0.827352, Time  0.259120
2021-09-09 21:56:42.743811 : Epoch  1, Batch    174, Loss  0.654332, Average Loss  0.826358, Time  0.259084
2021-09-09 21:56:44.647276 : Epoch  1, Batch    175, Loss  0.641144, Average Loss  0.825300, Time  0.258297
2021-09-09 21:56:46.525871 : Epoch  1, Batch    176, Loss  0.641560, Average Loss  0.824256, Time  0.262873
2021-09-09 21:56:48.431828 : Epoch  1, Batch    177, Loss  0.652091, Average Loss  0.823283, Time  0.259059
2021-09-09 21:56:50.312775 : Epoch  1, Batch    178, Loss  0.648994, Average Loss  0.822304, Time  0.266258
2021-09-09 21:56:52.195658 : Epoch  1, Batch    179, Loss  0.645445, Average Loss  0.821316, Time  0.262016
2021-09-09 21:56:54.067676 : Epoch  1, Batch    180, Loss  0.645254, Average Loss  0.820338, Time  0.257997
2021-09-09 21:56:55.964828 : Epoch  1, Batch    181, Loss  0.643852, Average Loss  0.819363, Time  0.262254
2021-09-09 21:56:57.844896 : Epoch  1, Batch    182, Loss  0.641976, Average Loss  0.818388, Time  0.258677
2021-09-09 21:56:59.719094 : Epoch  1, Batch    183, Loss  0.645379, Average Loss  0.817443, Time  0.260588
2021-09-09 21:57:01.611804 : Epoch  1, Batch    184, Loss  0.652840, Average Loss  0.816548, Time  0.263557
2021-09-09 21:57:03.476835 : Epoch  1, Batch    185, Loss  0.648674, Average Loss  0.815641, Time  0.261636
2021-09-09 21:57:05.357778 : Epoch  1, Batch    186, Loss  0.652398, Average Loss  0.814763, Time  0.264402
2021-09-09 21:57:07.240938 : Epoch  1, Batch    187, Loss  0.650851, Average Loss  0.813886, Time  0.260558
2021-09-09 21:57:09.141076 : Epoch  1, Batch    188, Loss  0.641819, Average Loss  0.812971, Time  0.259236
2021-09-09 21:57:11.014818 : Epoch  1, Batch    189, Loss  0.647511, Average Loss  0.812096, Time  0.258275
2021-09-09 21:57:12.896950 : Epoch  1, Batch    190, Loss  0.648484, Average Loss  0.811235, Time  0.258043
2021-09-09 21:57:14.767814 : Epoch  1, Batch    191, Loss  0.640073, Average Loss  0.810338, Time  0.268799
2021-09-09 21:57:16.633104 : Epoch  1, Batch    192, Loss  0.644418, Average Loss  0.809474, Time  0.259114
2021-09-09 21:57:18.559897 : Epoch  1, Batch    193, Loss  0.649692, Average Loss  0.808646, Time  0.261885
2021-09-09 21:57:20.449845 : Epoch  1, Batch    194, Loss  0.634936, Average Loss  0.807751, Time  0.258134
2021-09-09 21:57:22.366756 : Epoch  1, Batch    195, Loss  0.651856, Average Loss  0.806952, Time  0.261584
2021-09-09 21:57:24.249998 : Epoch  1, Batch    196, Loss  0.639351, Average Loss  0.806096, Time  0.261720
2021-09-09 21:57:26.126848 : Epoch  1, Batch    197, Loss  0.635881, Average Loss  0.805232, Time  0.258529
2021-09-09 21:57:28.035905 : Epoch  1, Batch    198, Loss  0.650129, Average Loss  0.804449, Time  0.265478
2021-09-09 21:57:29.601728 : CheckPoint: Validation Loss  0.00061077, Best Loss  0.00056427
2021-09-09 21:57:29.936626 : Epoch  1, Batch    199, Loss  0.641021, Average Loss  0.803628, Time  0.261301
2021-09-09 21:57:31.392785 : Epoch  7, Batch   2035, Loss  0.866834, Average Loss  0.869780, Time  0.356367
2021-09-09 21:57:31.804608 : Epoch  1, Batch    200, Loss  0.643844, Average Loss  0.802829, Time  0.264769
2021-09-09 21:57:33.227939 : Epoch  7, Batch   2036, Loss  0.836802, Average Loss  0.869583, Time  0.376305
2021-09-09 21:57:35.012782 : Epoch  7, Batch   2037, Loss  0.885802, Average Loss  0.869719, Time  0.368862
2021-09-09 21:57:36.903091 : Epoch  7, Batch   2038, Loss  0.887997, Average Loss  0.869762, Time  0.452297
2021-09-09 21:57:38.684954 : Epoch  7, Batch   2039, Loss  0.867974, Average Loss  0.869600, Time  0.342337
2021-09-09 21:57:40.465890 : Epoch  7, Batch   2040, Loss  0.849558, Average Loss  0.869398, Time  0.359190
2021-09-09 21:57:42.258891 : Epoch  7, Batch   2041, Loss  0.895489, Average Loss  0.869386, Time  0.360370
2021-09-09 21:57:44.173272 : Epoch  7, Batch   2042, Loss  0.850040, Average Loss  0.869332, Time  0.461024
2021-09-09 21:57:46.137275 : Epoch  7, Batch   2043, Loss  0.865752, Average Loss  0.869393, Time  0.455090
2021-09-09 21:57:47.958235 : Epoch  7, Batch   2044, Loss  0.877061, Average Loss  0.869440, Time  0.386369
2021-09-09 21:57:49.758821 : Epoch  7, Batch   2045, Loss  0.852010, Average Loss  0.869424, Time  0.357876
2021-09-09 21:57:51.609939 : Epoch  7, Batch   2046, Loss  0.876137, Average Loss  0.869406, Time  0.397295
2021-09-09 21:57:53.489874 : Epoch  7, Batch   2047, Loss  0.885077, Average Loss  0.869470, Time  0.452106
2021-09-09 21:57:55.310819 : Epoch  7, Batch   2048, Loss  0.896903, Average Loss  0.869740, Time  0.371504
2021-09-09 21:57:57.103137 : Epoch  7, Batch   2049, Loss  0.866761, Average Loss  0.869779, Time  0.368939
2021-09-09 21:57:58.893365 : Epoch  7, Batch   2050, Loss  0.827137, Average Loss  0.869474, Time  0.355111
2021-09-09 21:58:00.779102 : Epoch  7, Batch   2051, Loss  0.856195, Average Loss  0.869451, Time  0.453872
2021-09-09 21:58:02.592817 : Epoch  7, Batch   2052, Loss  0.836951, Average Loss  0.869147, Time  0.351570
2021-09-09 21:58:04.382260 : Epoch  7, Batch   2053, Loss  0.889006, Average Loss  0.869374, Time  0.355724
2021-09-09 21:58:06.183865 : Epoch  7, Batch   2054, Loss  0.873432, Average Loss  0.869364, Time  0.364795
2021-09-09 21:58:08.067889 : Epoch  7, Batch   2055, Loss  0.885926, Average Loss  0.869287, Time  0.455040
2021-09-09 21:58:09.939778 : Epoch  7, Batch   2056, Loss  0.876202, Average Loss  0.869479, Time  0.433881
2021-09-09 21:58:11.736863 : Epoch  7, Batch   2057, Loss  0.886900, Average Loss  0.869638, Time  0.357052
2021-09-09 21:58:13.515849 : Epoch  7, Batch   2058, Loss  0.860125, Average Loss  0.869637, Time  0.362321
2021-09-09 21:58:15.363944 : Epoch  7, Batch   2059, Loss  0.869769, Average Loss  0.869748, Time  0.426213
2021-09-09 21:58:17.262935 : Epoch  7, Batch   2060, Loss  0.868573, Average Loss  0.869746, Time  0.465589
2021-09-09 21:58:19.084934 : Epoch  7, Batch   2061, Loss  0.894549, Average Loss  0.870067, Time  0.356173
2021-09-09 21:58:20.901776 : Epoch  7, Batch   2062, Loss  0.876443, Average Loss  0.869937, Time  0.357925
2021-09-09 21:58:22.710395 : Epoch  7, Batch   2063, Loss  0.881274, Average Loss  0.869782, Time  0.380718
2021-09-09 21:58:24.607980 : Epoch  7, Batch   2064, Loss  0.873664, Average Loss  0.869616, Time  0.464147
2021-09-09 21:58:26.378803 : Epoch  7, Batch   2065, Loss  0.848686, Average Loss  0.869546, Time  0.346559
2021-09-09 21:58:28.162121 : Epoch  7, Batch   2066, Loss  0.871479, Average Loss  0.869549, Time  0.364502
2021-09-09 21:58:29.969122 : Epoch  7, Batch   2067, Loss  0.860976, Average Loss  0.869466, Time  0.363587
2021-09-09 21:58:31.865313 : Epoch  7, Batch   2068, Loss  0.882224, Average Loss  0.869582, Time  0.455479
2021-09-09 21:58:33.752846 : Epoch  7, Batch   2069, Loss  0.890109, Average Loss  0.869641, Time  0.457901
2021-09-09 21:58:35.556278 : Epoch  7, Batch   2070, Loss  0.865764, Average Loss  0.869761, Time  0.364545
2021-09-09 21:58:37.358123 : Epoch  7, Batch   2071, Loss  0.883981, Average Loss  0.869825, Time  0.369719
2021-09-09 21:58:39.207813 : Epoch  7, Batch   2072, Loss  0.885917, Average Loss  0.869893, Time  0.416064
2021-09-09 21:58:41.106813 : Epoch  7, Batch   2073, Loss  0.862222, Average Loss  0.869995, Time  0.460998
2021-09-09 21:58:41.496734 : CheckPoint: Validation Loss  0.00028085, Best Loss  0.00028016
2021-09-09 21:58:42.898245 : Epoch  7, Batch   2074, Loss  0.848517, Average Loss  0.869937, Time  0.356390
2021-09-09 21:58:43.397881 : Epoch  1, Batch    201, Loss  0.650634, Average Loss  0.800064, Time  0.267013
2021-09-09 21:58:44.698895 : Epoch  7, Batch   2075, Loss  0.895368, Average Loss  0.870037, Time  0.366681
2021-09-09 21:58:45.304780 : Epoch  1, Batch    202, Loss  0.642465, Average Loss  0.797294, Time  0.257703
2021-09-09 21:58:46.468891 : Epoch  7, Batch   2076, Loss  0.856812, Average Loss  0.869969, Time  0.362048
2021-09-09 21:58:47.208811 : Epoch  1, Batch    203, Loss  0.642071, Average Loss  0.794511, Time  0.258162
2021-09-09 21:58:48.353034 : Epoch  7, Batch   2077, Loss  0.856761, Average Loss  0.870058, Time  0.464627
2021-09-09 21:58:49.120788 : Epoch  1, Batch    204, Loss  0.635752, Average Loss  0.791688, Time  0.257985
2021-09-09 21:58:50.133781 : Epoch  7, Batch   2078, Loss  0.858315, Average Loss  0.869974, Time  0.361866
2021-09-09 21:58:51.028768 : Epoch  1, Batch    205, Loss  0.652494, Average Loss  0.788988, Time  0.258191
2021-09-09 21:58:51.950816 : Epoch  7, Batch   2079, Loss  0.885142, Average Loss  0.870081, Time  0.368222
2021-09-09 21:58:52.943817 : Epoch  1, Batch    206, Loss  0.635486, Average Loss  0.786223, Time  0.257931
2021-09-09 21:58:53.748823 : Epoch  7, Batch   2080, Loss  0.886011, Average Loss  0.870085, Time  0.373467
2021-09-09 21:58:54.847906 : Epoch  1, Batch    207, Loss  0.648163, Average Loss  0.783568, Time  0.258085
2021-09-09 21:58:55.633968 : Epoch  7, Batch   2081, Loss  0.900198, Average Loss  0.870371, Time  0.465463
2021-09-09 21:58:56.759924 : Epoch  1, Batch    208, Loss  0.645143, Average Loss  0.780940, Time  0.258150
2021-09-09 21:58:57.451886 : Epoch  7, Batch   2082, Loss  0.848754, Average Loss  0.870278, Time  0.360531
2021-09-09 21:58:58.657771 : Epoch  1, Batch    209, Loss  0.643666, Average Loss  0.778327, Time  0.257874
2021-09-09 21:58:59.243850 : Epoch  7, Batch   2083, Loss  0.880998, Average Loss  0.870296, Time  0.356023
2021-09-09 21:59:00.549780 : Epoch  1, Batch    210, Loss  0.629735, Average Loss  0.775706, Time  0.257890
2021-09-09 21:59:01.040784 : Epoch  7, Batch   2084, Loss  0.921110, Average Loss  0.870698, Time  0.363825
2021-09-09 21:59:02.453987 : Epoch  1, Batch    211, Loss  0.646947, Average Loss  0.773198, Time  0.258138
2021-09-09 21:59:02.928239 : Epoch  7, Batch   2085, Loss  0.863799, Average Loss  0.870620, Time  0.460092
2021-09-09 21:59:04.352866 : Epoch  1, Batch    212, Loss  0.652789, Average Loss  0.770770, Time  0.258395
2021-09-09 21:59:04.690777 : Epoch  7, Batch   2086, Loss  0.876757, Average Loss  0.870803, Time  0.357770
2021-09-09 21:59:06.243877 : Epoch  1, Batch    213, Loss  0.640496, Average Loss  0.768376, Time  0.258035
2021-09-09 21:59:06.477107 : Epoch  7, Batch   2087, Loss  0.834890, Average Loss  0.870842, Time  0.356707
2021-09-09 21:59:08.114096 : Epoch  1, Batch    214, Loss  0.638800, Average Loss  0.766033, Time  0.262401
2021-09-09 21:59:08.288129 : Epoch  7, Batch   2088, Loss  0.873434, Average Loss  0.870784, Time  0.379593
2021-09-09 21:59:09.993939 : Epoch  1, Batch    215, Loss  0.645885, Average Loss  0.763779, Time  0.264367
2021-09-09 21:59:10.169154 : Epoch  7, Batch   2089, Loss  0.866473, Average Loss  0.870748, Time  0.451383
2021-09-09 21:59:11.900233 : Epoch  1, Batch    216, Loss  0.650066, Average Loss  0.761620, Time  0.262639
2021-09-09 21:59:11.949998 : Epoch  7, Batch   2090, Loss  0.870011, Average Loss  0.870838, Time  0.356232
2021-09-09 21:59:13.764907 : Epoch  7, Batch   2091, Loss  0.860211, Average Loss  0.870779, Time  0.366232
2021-09-09 21:59:13.816741 : Epoch  1, Batch    217, Loss  0.648337, Average Loss  0.759469, Time  0.257888
2021-09-09 21:59:15.573869 : Epoch  7, Batch   2092, Loss  0.914493, Average Loss  0.870881, Time  0.387609
2021-09-09 21:59:15.720762 : Epoch  1, Batch    218, Loss  0.640210, Average Loss  0.757346, Time  0.257711
2021-09-09 21:59:17.453139 : Epoch  7, Batch   2093, Loss  0.865666, Average Loss  0.870917, Time  0.463184
2021-09-09 21:59:17.619884 : Epoch  1, Batch    219, Loss  0.635555, Average Loss  0.755232, Time  0.258253
2021-09-09 21:59:19.239036 : Epoch  7, Batch   2094, Loss  0.834815, Average Loss  0.870871, Time  0.357664
2021-09-09 21:59:19.495115 : Epoch  1, Batch    220, Loss  0.645979, Average Loss  0.753241, Time  0.257395
2021-09-09 21:59:21.025813 : Epoch  7, Batch   2095, Loss  0.851489, Average Loss  0.870881, Time  0.363773
2021-09-09 21:59:21.370102 : Epoch  1, Batch    221, Loss  0.636158, Average Loss  0.751229, Time  0.258389
2021-09-09 21:59:22.834883 : Epoch  7, Batch   2096, Loss  0.856668, Average Loss  0.870878, Time  0.387578
2021-09-09 21:59:23.272047 : Epoch  1, Batch    222, Loss  0.641741, Average Loss  0.749262, Time  0.258143
2021-09-09 21:59:24.723099 : Epoch  7, Batch   2097, Loss  0.865957, Average Loss  0.870904, Time  0.462714
2021-09-09 21:59:25.178823 : Epoch  1, Batch    223, Loss  0.647968, Average Loss  0.747366, Time  0.257754
2021-09-09 21:59:26.498420 : Epoch  7, Batch   2098, Loss  0.872769, Average Loss  0.871093, Time  0.357005
2021-09-09 21:59:27.068699 : Epoch  1, Batch    224, Loss  0.655104, Average Loss  0.745553, Time  0.258040
2021-09-09 21:59:28.278263 : Epoch  7, Batch   2099, Loss  0.843761, Average Loss  0.870891, Time  0.360909
2021-09-09 21:59:28.994803 : Epoch  1, Batch    225, Loss  0.648740, Average Loss  0.743710, Time  0.258052
2021-09-09 21:59:30.152864 : Epoch  7, Batch   2100, Loss  0.847228, Average Loss  0.870742, Time  0.421165
2021-09-09 21:59:30.903850 : Epoch  1, Batch    226, Loss  0.640343, Average Loss  0.741853, Time  0.275219
2021-09-09 21:59:32.017778 : Epoch  7, Batch   2101, Loss  0.866961, Average Loss  0.870563, Time  0.449699
2021-09-09 21:59:32.786280 : Epoch  1, Batch    227, Loss  0.637065, Average Loss  0.740011, Time  0.258810
2021-09-09 21:59:33.797854 : Epoch  7, Batch   2102, Loss  0.852673, Average Loss  0.870352, Time  0.358269
2021-09-09 21:59:34.676134 : Epoch  1, Batch    228, Loss  0.642795, Average Loss  0.738183, Time  0.258564
2021-09-09 21:59:35.590252 : Epoch  7, Batch   2103, Loss  0.860901, Average Loss  0.870415, Time  0.366769
2021-09-09 21:59:36.554865 : Epoch  1, Batch    229, Loss  0.650222, Average Loss  0.736447, Time  0.258081
2021-09-09 21:59:37.419403 : Epoch  7, Batch   2104, Loss  0.834960, Average Loss  0.870197, Time  0.411653
2021-09-09 21:59:38.476876 : Epoch  1, Batch    230, Loss  0.645693, Average Loss  0.734729, Time  0.258517
2021-09-09 21:59:39.298790 : Epoch  7, Batch   2105, Loss  0.886336, Average Loss  0.870210, Time  0.452151
2021-09-09 21:59:40.388023 : Epoch  1, Batch    231, Loss  0.641833, Average Loss  0.732973, Time  0.258164
2021-09-09 21:59:41.099400 : Epoch  7, Batch   2106, Loss  0.859859, Average Loss  0.870169, Time  0.357116
2021-09-09 21:59:42.277803 : Epoch  1, Batch    232, Loss  0.640705, Average Loss  0.731224, Time  0.258864
2021-09-09 21:59:42.935776 : Epoch  7, Batch   2107, Loss  0.882212, Average Loss  0.870256, Time  0.359035
2021-09-09 21:59:44.161000 : Epoch  1, Batch    233, Loss  0.648607, Average Loss  0.729533, Time  0.258399
2021-09-09 21:59:44.766930 : Epoch  7, Batch   2108, Loss  0.883447, Average Loss  0.870187, Time  0.401620
2021-09-09 21:59:46.067772 : Epoch  1, Batch    234, Loss  0.649717, Average Loss  0.727869, Time  0.258634
2021-09-09 21:59:46.653734 : Epoch  7, Batch   2109, Loss  0.883138, Average Loss  0.870235, Time  0.455084
2021-09-09 21:59:48.000494 : Epoch  1, Batch    235, Loss  0.637964, Average Loss  0.726166, Time  0.265748
2021-09-09 21:59:48.459908 : Epoch  7, Batch   2110, Loss  0.859708, Average Loss  0.870324, Time  0.362469
2021-09-09 21:59:49.903129 : Epoch  1, Batch    236, Loss  0.641562, Average Loss  0.724486, Time  0.257965
2021-09-09 21:59:50.223766 : Epoch  7, Batch   2111, Loss  0.851896, Average Loss  0.870326, Time  0.366078
2021-09-09 21:59:51.785763 : Epoch  1, Batch    237, Loss  0.646175, Average Loss  0.722846, Time  0.258301
2021-09-09 21:59:52.016593 : Epoch  7, Batch   2112, Loss  0.878058, Average Loss  0.870354, Time  0.391541
2021-09-09 21:59:53.684791 : Epoch  1, Batch    238, Loss  0.642091, Average Loss  0.721189, Time  0.261077
2021-09-09 21:59:53.890300 : Epoch  7, Batch   2113, Loss  0.879292, Average Loss  0.870463, Time  0.454327
2021-09-09 21:59:55.578094 : Epoch  1, Batch    239, Loss  0.641932, Average Loss  0.719541, Time  0.258016
2021-09-09 21:59:55.656825 : Epoch  7, Batch   2114, Loss  0.873473, Average Loss  0.870322, Time  0.352547
2021-09-09 21:59:57.420819 : Epoch  7, Batch   2115, Loss  0.899452, Average Loss  0.870470, Time  0.348583
2021-09-09 21:59:57.479008 : Epoch  1, Batch    240, Loss  0.641781, Average Loss  0.717934, Time  0.263510
2021-09-09 21:59:59.238711 : Epoch  7, Batch   2116, Loss  0.869434, Average Loss  0.870586, Time  0.394545
2021-09-09 21:59:59.373795 : Epoch  1, Batch    241, Loss  0.649683, Average Loss  0.716338, Time  0.258801
2021-09-09 22:00:01.127780 : Epoch  7, Batch   2117, Loss  0.866093, Average Loss  0.870524, Time  0.460006
2021-09-09 22:00:01.263054 : Epoch  1, Batch    242, Loss  0.638875, Average Loss  0.714692, Time  0.257572
2021-09-09 22:00:02.911460 : Epoch  7, Batch   2118, Loss  0.849147, Average Loss  0.870510, Time  0.366414
2021-09-09 22:00:03.152803 : Epoch  1, Batch    243, Loss  0.641940, Average Loss  0.713079, Time  0.257797
2021-09-09 22:00:04.703235 : Epoch  7, Batch   2119, Loss  0.860408, Average Loss  0.870374, Time  0.358856
2021-09-09 22:00:05.053055 : Epoch  1, Batch    244, Loss  0.650229, Average Loss  0.711541, Time  0.257972
2021-09-09 22:00:06.529944 : Epoch  7, Batch   2120, Loss  0.887771, Average Loss  0.870420, Time  0.383132
2021-09-09 22:00:06.945860 : Epoch  1, Batch    245, Loss  0.637711, Average Loss  0.709919, Time  0.258125
2021-09-09 22:00:08.451789 : Epoch  7, Batch   2121, Loss  0.852017, Average Loss  0.870235, Time  0.469567
2021-09-09 22:00:08.832394 : Epoch  1, Batch    246, Loss  0.632094, Average Loss  0.708256, Time  0.257755
2021-09-09 22:00:10.213775 : Epoch  7, Batch   2122, Loss  0.859472, Average Loss  0.870363, Time  0.337314
2021-09-09 22:00:10.736905 : Epoch  1, Batch    247, Loss  0.645206, Average Loss  0.706692, Time  0.261665
2021-09-09 22:00:11.990118 : Epoch  7, Batch   2123, Loss  0.885251, Average Loss  0.870306, Time  0.358544
2021-09-09 22:00:12.634117 : Epoch  1, Batch    248, Loss  0.648589, Average Loss  0.705134, Time  0.267959
2021-09-09 22:00:13.770931 : Epoch  7, Batch   2124, Loss  0.900517, Average Loss  0.870295, Time  0.366422
2021-09-09 22:00:14.521972 : Epoch  1, Batch    249, Loss  0.644771, Average Loss  0.703593, Time  0.262134
2021-09-09 22:00:15.667164 : Epoch  7, Batch   2125, Loss  0.850210, Average Loss  0.870368, Time  0.458375
2021-09-09 22:00:16.425905 : Epoch  1, Batch    250, Loss  0.656671, Average Loss  0.702085, Time  0.266016
2021-09-09 22:00:17.443106 : Epoch  7, Batch   2126, Loss  0.855594, Average Loss  0.870374, Time  0.340709
2021-09-09 22:00:18.307992 : Epoch  1, Batch    251, Loss  0.646111, Average Loss  0.700537, Time  0.258412
2021-09-09 22:00:19.235931 : Epoch  7, Batch   2127, Loss  0.862415, Average Loss  0.870362, Time  0.364275
2021-09-09 22:00:20.179795 : Epoch  1, Batch    252, Loss  0.648693, Average Loss  0.698998, Time  0.258251
2021-09-09 22:00:21.076926 : Epoch  7, Batch   2128, Loss  0.859004, Average Loss  0.870263, Time  0.370481
2021-09-09 22:00:22.079241 : Epoch  1, Batch    253, Loss  0.654399, Average Loss  0.697512, Time  0.257999
2021-09-09 22:00:23.020322 : Epoch  7, Batch   2129, Loss  0.868194, Average Loss  0.870109, Time  0.447375
2021-09-09 22:00:23.984085 : Epoch  1, Batch    254, Loss  0.635719, Average Loss  0.695906, Time  0.264433
2021-09-09 22:00:24.895023 : Epoch  7, Batch   2130, Loss  0.874083, Average Loss  0.869965, Time  0.438658
2021-09-09 22:00:25.889773 : Epoch  1, Batch    255, Loss  0.639357, Average Loss  0.694327, Time  0.263622
2021-09-09 22:00:26.720940 : Epoch  7, Batch   2131, Loss  0.894483, Average Loss  0.870077, Time  0.366245
2021-09-09 22:00:27.757714 : Epoch  1, Batch    256, Loss  0.648341, Average Loss  0.692796, Time  0.264729
2021-09-09 22:00:28.501769 : Epoch  7, Batch   2132, Loss  0.848744, Average Loss  0.869934, Time  0.357050
2021-09-09 22:00:29.657928 : Epoch  1, Batch    257, Loss  0.657907, Average Loss  0.691325, Time  0.260324
2021-09-09 22:00:30.350293 : Epoch  7, Batch   2133, Loss  0.861494, Average Loss  0.869985, Time  0.411493
2021-09-09 22:00:31.587856 : Epoch  1, Batch    258, Loss  0.633695, Average Loss  0.689767, Time  0.276860
2021-09-09 22:00:32.250624 : Epoch  7, Batch   2134, Loss  0.874040, Average Loss  0.869989, Time  0.457149
2021-09-09 22:00:33.503058 : Epoch  1, Batch    259, Loss  0.643896, Average Loss  0.688237, Time  0.262084
2021-09-09 22:00:35.437162 : Epoch  1, Batch    260, Loss  0.650684, Average Loss  0.686754, Time  0.261714
2021-09-09 22:00:37.361883 : Epoch  1, Batch    261, Loss  0.647711, Average Loss  0.685251, Time  0.261203
2021-09-09 22:00:39.266961 : Epoch  1, Batch    262, Loss  0.647009, Average Loss  0.683779, Time  0.258074
2021-09-09 22:00:41.175048 : Epoch  1, Batch    263, Loss  0.636115, Average Loss  0.682243, Time  0.259776
2021-09-09 22:00:43.093797 : Epoch  1, Batch    264, Loss  0.637910, Average Loss  0.680721, Time  0.258039
2021-09-09 22:00:44.979846 : Epoch  1, Batch    265, Loss  0.644123, Average Loss  0.679178, Time  0.257892
2021-09-09 22:00:46.887778 : Epoch  1, Batch    266, Loss  0.644947, Average Loss  0.677718, Time  0.258224
2021-09-09 22:00:48.773855 : Epoch  1, Batch    267, Loss  0.636105, Average Loss  0.676191, Time  0.260640
2021-09-09 22:00:50.656770 : Epoch  1, Batch    268, Loss  0.645396, Average Loss  0.674767, Time  0.260872
2021-09-09 22:00:52.527775 : Epoch  1, Batch    269, Loss  0.646021, Average Loss  0.673332, Time  0.264369
2021-09-09 22:00:54.401097 : Epoch  1, Batch    270, Loss  0.650512, Average Loss  0.671945, Time  0.259293
2021-09-09 22:00:58.427802 : Epoch  1, Batch    271, Loss  0.643315, Average Loss  0.670539, Time  0.274387
2021-09-09 22:01:00.340805 : Epoch  1, Batch    272, Loss  0.640748, Average Loss  0.669152, Time  0.262459
2021-09-09 22:01:02.246891 : Epoch  1, Batch    273, Loss  0.647873, Average Loss  0.667819, Time  0.258433
2021-09-09 22:01:04.134135 : Epoch  1, Batch    274, Loss  0.648508, Average Loss  0.666515, Time  0.258784
2021-09-09 22:01:06.016853 : Epoch  1, Batch    275, Loss  0.638226, Average Loss  0.665220, Time  0.262207
2021-09-09 22:01:07.900565 : Epoch  1, Batch    276, Loss  0.651306, Average Loss  0.664043, Time  0.258700
2021-09-09 22:01:09.781893 : Epoch  1, Batch    277, Loss  0.646626, Average Loss  0.662931, Time  0.258474
2021-09-09 22:01:11.659102 : Epoch  1, Batch    278, Loss  0.641774, Average Loss  0.661873, Time  0.262938
2021-09-09 22:01:13.545891 : Epoch  1, Batch    279, Loss  0.643358, Average Loss  0.660887, Time  0.258778
2021-09-09 22:01:15.443086 : Epoch  1, Batch    280, Loss  0.646845, Average Loss  0.659969, Time  0.263462
2021-09-09 22:01:17.320727 : Epoch  1, Batch    281, Loss  0.644070, Average Loss  0.659049, Time  0.260674
2021-09-09 22:01:19.183970 : Epoch  1, Batch    282, Loss  0.641439, Average Loss  0.658135, Time  0.258915
2021-09-09 22:01:21.043759 : Epoch  1, Batch    283, Loss  0.638973, Average Loss  0.657231, Time  0.258390
2021-09-09 22:01:22.934766 : Epoch  1, Batch    284, Loss  0.652042, Average Loss  0.656371, Time  0.259179
2021-09-09 22:01:24.810088 : Epoch  1, Batch    285, Loss  0.654583, Average Loss  0.655523, Time  0.258061
2021-09-09 22:01:26.671821 : Epoch  1, Batch    286, Loss  0.650317, Average Loss  0.654692, Time  0.258557
2021-09-09 22:01:28.532775 : Epoch  1, Batch    287, Loss  0.644655, Average Loss  0.653908, Time  0.258644
2021-09-09 22:01:30.424161 : Epoch  1, Batch    288, Loss  0.640160, Average Loss  0.653140, Time  0.280473
2021-09-09 22:01:32.306831 : Epoch  1, Batch    289, Loss  0.649301, Average Loss  0.652446, Time  0.258333
2021-09-09 22:01:34.207069 : Epoch  1, Batch    290, Loss  0.645570, Average Loss  0.651834, Time  0.257692
2021-09-09 22:01:36.112843 : Epoch  1, Batch    291, Loss  0.641657, Average Loss  0.651142, Time  0.257940
2021-09-09 22:01:38.035781 : Epoch  1, Batch    292, Loss  0.650226, Average Loss  0.650571, Time  0.260095
2021-09-09 22:01:39.954858 : Epoch  1, Batch    293, Loss  0.651605, Average Loss  0.650121, Time  0.258326
2021-09-09 22:01:41.877803 : Epoch  1, Batch    294, Loss  0.643343, Average Loss  0.649670, Time  0.258099
2021-09-09 22:01:43.791789 : Epoch  1, Batch    295, Loss  0.647002, Average Loss  0.649246, Time  0.258428
2021-09-09 22:01:45.704776 : Epoch  1, Batch    296, Loss  0.642542, Average Loss  0.648834, Time  0.257853
2021-09-09 22:01:47.619750 : Epoch  1, Batch    297, Loss  0.638852, Average Loss  0.648482, Time  0.257995
2021-09-09 22:01:49.550889 : Epoch  1, Batch    298, Loss  0.646084, Average Loss  0.648238, Time  0.257979
2021-09-09 22:01:51.468765 : Epoch  1, Batch    299, Loss  0.651884, Average Loss  0.648029, Time  0.257820
2021-09-09 22:01:53.386786 : Epoch  1, Batch    300, Loss  0.643092, Average Loss  0.647804, Time  0.258535
2021-09-09 22:03:03.335754 : CheckPoint: Validation Loss  0.00027544, Best Loss  0.00027544
2021-09-09 22:03:03.430627 : Best Model Updated
2021-09-09 22:03:06.245936 : Epoch  1, Batch    301, Loss  0.637724, Average Loss  0.647551, Time  0.270624
2021-09-09 22:03:08.126794 : Epoch  1, Batch    302, Loss  0.651995, Average Loss  0.647421, Time  0.260443
2021-09-09 22:03:10.033943 : Epoch  1, Batch    303, Loss  0.654715, Average Loss  0.647324, Time  0.263296
2021-09-09 22:03:11.923811 : Epoch  1, Batch    304, Loss  0.647018, Average Loss  0.647167, Time  0.262688
2021-09-09 22:03:13.791106 : Epoch  1, Batch    305, Loss  0.638040, Average Loss  0.646948, Time  0.261541
2021-09-09 22:03:15.680789 : Epoch  1, Batch    306, Loss  0.650526, Average Loss  0.646882, Time  0.258782
2021-09-09 22:03:17.573095 : Epoch  1, Batch    307, Loss  0.645734, Average Loss  0.646759, Time  0.258667
2021-09-09 22:03:19.484902 : Epoch  1, Batch    308, Loss  0.639697, Average Loss  0.646703, Time  0.265764
2021-09-09 22:03:21.383599 : Epoch  1, Batch    309, Loss  0.646475, Average Loss  0.646611, Time  0.258123
2021-09-09 22:03:23.270824 : Epoch  1, Batch    310, Loss  0.643825, Average Loss  0.646435, Time  0.259899
2021-09-09 22:03:25.165349 : Epoch  1, Batch    311, Loss  0.644196, Average Loss  0.646291, Time  0.258993
2021-09-09 22:03:27.047805 : Epoch  1, Batch    312, Loss  0.648060, Average Loss  0.646197, Time  0.258267
2021-09-09 22:03:28.945854 : Epoch  1, Batch    313, Loss  0.640445, Average Loss  0.646089, Time  0.267001
2021-09-09 22:03:30.820496 : Epoch  1, Batch    314, Loss  0.641652, Average Loss  0.645993, Time  0.258922
2021-09-09 22:03:32.718129 : Epoch  1, Batch    315, Loss  0.648789, Average Loss  0.645953, Time  0.258094
2021-09-09 22:03:34.612294 : Epoch  1, Batch    316, Loss  0.645887, Average Loss  0.645935, Time  0.260417
2021-09-09 22:03:36.477888 : Epoch  1, Batch    317, Loss  0.639476, Average Loss  0.645871, Time  0.262490
2021-09-09 22:03:38.381807 : Epoch  1, Batch    318, Loss  0.644193, Average Loss  0.645748, Time  0.262347
2021-09-09 22:03:40.291072 : Epoch  1, Batch    319, Loss  0.644483, Average Loss  0.645685, Time  0.267870
2021-09-09 22:03:42.186074 : Epoch  1, Batch    320, Loss  0.653914, Average Loss  0.645674, Time  0.258840
2021-09-09 22:03:44.070858 : Epoch  1, Batch    321, Loss  0.651119, Average Loss  0.645649, Time  0.258568
2021-09-09 22:03:45.938421 : Epoch  1, Batch    322, Loss  0.637002, Average Loss  0.645547, Time  0.258776
2021-09-09 22:03:47.817793 : Epoch  1, Batch    323, Loss  0.636231, Average Loss  0.645435, Time  0.265744
2021-09-09 22:03:49.703819 : Epoch  1, Batch    324, Loss  0.635733, Average Loss  0.645371, Time  0.267291
2021-09-09 22:03:51.604782 : Epoch  1, Batch    325, Loss  0.636065, Average Loss  0.645317, Time  0.257887
2021-09-09 22:03:53.520042 : Epoch  1, Batch    326, Loss  0.633988, Average Loss  0.645191, Time  0.257702
2021-09-09 22:03:55.437066 : Epoch  1, Batch    327, Loss  0.644156, Average Loss  0.645194, Time  0.257881
2021-09-09 22:03:57.345064 : Epoch  1, Batch    328, Loss  0.638139, Average Loss  0.645063, Time  0.257746
2021-09-09 22:03:59.266043 : Epoch  1, Batch    329, Loss  0.645958, Average Loss  0.645033, Time  0.258371
2021-09-09 22:04:01.177790 : Epoch  1, Batch    330, Loss  0.635303, Average Loss  0.644972, Time  0.257913
2021-09-09 22:04:03.061661 : Epoch  1, Batch    331, Loss  0.647029, Average Loss  0.644970, Time  0.263367
2021-09-09 22:04:04.986979 : Epoch  1, Batch    332, Loss  0.639125, Average Loss  0.644933, Time  0.262508
2021-09-09 22:04:06.885878 : Epoch  1, Batch    333, Loss  0.650587, Average Loss  0.644922, Time  0.265576
2021-09-09 22:04:08.763092 : Epoch  1, Batch    334, Loss  0.648414, Average Loss  0.644932, Time  0.258993
2021-09-09 22:04:10.673022 : Epoch  1, Batch    335, Loss  0.641868, Average Loss  0.644882, Time  0.263391
2021-09-09 22:04:12.566876 : Epoch  1, Batch    336, Loss  0.648240, Average Loss  0.644846, Time  0.264085
2021-09-09 22:04:14.455098 : Epoch  1, Batch    337, Loss  0.631290, Average Loss  0.644800, Time  0.264596
2021-09-09 22:04:16.351876 : Epoch  1, Batch    338, Loss  0.635340, Average Loss  0.644800, Time  0.261462
2021-09-09 22:04:18.244779 : Epoch  1, Batch    339, Loss  0.648819, Average Loss  0.644824, Time  0.258325
2021-09-09 22:04:20.151083 : Epoch  1, Batch    340, Loss  0.641107, Average Loss  0.644786, Time  0.266037
2021-09-09 22:04:22.042879 : Epoch  1, Batch    341, Loss  0.642716, Average Loss  0.644800, Time  0.259058
2021-09-09 22:04:23.945780 : Epoch  1, Batch    342, Loss  0.646362, Average Loss  0.644775, Time  0.264910
2021-09-09 22:04:25.830833 : Epoch  1, Batch    343, Loss  0.651161, Average Loss  0.644782, Time  0.258309
2021-09-09 22:04:27.703794 : Epoch  1, Batch    344, Loss  0.652972, Average Loss  0.644838, Time  0.258348
2021-09-09 22:04:29.597177 : Epoch  1, Batch    345, Loss  0.635496, Average Loss  0.644780, Time  0.260611
2021-09-09 22:04:31.460086 : Epoch  1, Batch    346, Loss  0.650404, Average Loss  0.644823, Time  0.259237
2021-09-09 22:04:33.356088 : Epoch  1, Batch    347, Loss  0.646241, Average Loss  0.644816, Time  0.261817
2021-09-09 22:04:35.253984 : Epoch  1, Batch    348, Loss  0.646034, Average Loss  0.644746, Time  0.261546
2021-09-09 22:04:37.155762 : Epoch  1, Batch    349, Loss  0.639151, Average Loss  0.644692, Time  0.264376
2021-09-09 22:04:39.019074 : Epoch  1, Batch    350, Loss  0.648384, Average Loss  0.644660, Time  0.258849
2021-09-09 22:04:40.901145 : Epoch  1, Batch    351, Loss  0.647425, Average Loss  0.644668, Time  0.258578
2021-09-09 22:04:42.773090 : Epoch  1, Batch    352, Loss  0.649275, Average Loss  0.644681, Time  0.261631
2021-09-09 22:04:44.661821 : Epoch  1, Batch    353, Loss  0.643427, Average Loss  0.644652, Time  0.264319
2021-09-09 22:04:46.558096 : Epoch  1, Batch    354, Loss  0.645226, Average Loss  0.644641, Time  0.262871
2021-09-09 22:04:48.441790 : Epoch  1, Batch    355, Loss  0.643923, Average Loss  0.644624, Time  0.261240
2021-09-09 22:04:50.348875 : Epoch  1, Batch    356, Loss  0.636895, Average Loss  0.644528, Time  0.258600
2021-09-09 22:04:52.281763 : Epoch  1, Batch    357, Loss  0.641826, Average Loss  0.644536, Time  0.263606
2021-09-09 22:04:54.198103 : Epoch  1, Batch    358, Loss  0.642435, Average Loss  0.644541, Time  0.269516
2021-09-09 22:04:56.079131 : Epoch  1, Batch    359, Loss  0.642888, Average Loss  0.644498, Time  0.258458
2021-09-09 22:04:57.968765 : Epoch  1, Batch    360, Loss  0.646018, Average Loss  0.644529, Time  0.260102
2021-09-09 22:04:59.846793 : Epoch  1, Batch    361, Loss  0.638588, Average Loss  0.644475, Time  0.261343
2021-09-09 22:05:01.741962 : Epoch  1, Batch    362, Loss  0.635340, Average Loss  0.644427, Time  0.259351
2021-09-09 22:05:03.654812 : Epoch  1, Batch    363, Loss  0.643433, Average Loss  0.644410, Time  0.260847
2021-09-09 22:05:05.596891 : Epoch  1, Batch    364, Loss  0.644402, Average Loss  0.644409, Time  0.259424
2021-09-09 22:05:07.572834 : Epoch  1, Batch    365, Loss  0.639501, Average Loss  0.644384, Time  0.286120
2021-09-09 22:05:09.481794 : Epoch  1, Batch    366, Loss  0.644267, Average Loss  0.644374, Time  0.258076
2021-09-09 22:05:11.401779 : Epoch  1, Batch    367, Loss  0.631838, Average Loss  0.644339, Time  0.258096
2021-09-09 22:05:13.327170 : Epoch  1, Batch    368, Loss  0.640169, Average Loss  0.644358, Time  0.258383
2021-09-09 22:05:15.231887 : Epoch  1, Batch    369, Loss  0.642965, Average Loss  0.644368, Time  0.258076
2021-09-09 22:05:17.116516 : Epoch  1, Batch    370, Loss  0.643571, Average Loss  0.644366, Time  0.258555
2021-09-09 22:05:21.156875 : Epoch  1, Batch    371, Loss  0.646468, Average Loss  0.644358, Time  0.278975
2021-09-09 22:05:22.539727 : CheckPoint: Validation Loss  0.00060501, Best Loss  0.00056427
2021-09-09 22:05:23.081768 : Epoch  1, Batch    372, Loss  0.646314, Average Loss  0.644345, Time  0.270373
2021-09-09 22:05:24.446953 : Epoch  7, Batch   2135, Loss  0.869871, Average Loss  0.870014, Time  0.463668
2021-09-09 22:05:25.050851 : Epoch  1, Batch    373, Loss  0.650002, Average Loss  0.644333, Time  0.286541
2021-09-09 22:05:26.399765 : Epoch  7, Batch   2136, Loss  0.860630, Average Loss  0.869877, Time  0.449860
2021-09-09 22:05:26.964082 : Epoch  1, Batch    374, Loss  0.647912, Average Loss  0.644301, Time  0.264462
2021-09-09 22:05:28.157837 : Epoch  7, Batch   2137, Loss  0.885808, Average Loss  0.869903, Time  0.356466
2021-09-09 22:05:28.855085 : Epoch  1, Batch    375, Loss  0.648179, Average Loss  0.644336, Time  0.258441
2021-09-09 22:05:29.943692 : Epoch  7, Batch   2138, Loss  0.875055, Average Loss  0.869846, Time  0.361108
2021-09-09 22:05:30.734882 : Epoch  1, Batch    376, Loss  0.637840, Average Loss  0.644317, Time  0.263213
2021-09-09 22:05:31.743244 : Epoch  7, Batch   2139, Loss  0.847971, Average Loss  0.869678, Time  0.395499
2021-09-09 22:05:32.615063 : Epoch  1, Batch    377, Loss  0.649664, Average Loss  0.644305, Time  0.257789
2021-09-09 22:05:33.609280 : Epoch  7, Batch   2140, Loss  0.875113, Average Loss  0.869707, Time  0.454322
2021-09-09 22:05:34.521053 : Epoch  1, Batch    378, Loss  0.641809, Average Loss  0.644269, Time  0.260536
2021-09-09 22:05:35.383924 : Epoch  7, Batch   2141, Loss  0.888631, Average Loss  0.869774, Time  0.363297
2021-09-09 22:05:36.432837 : Epoch  1, Batch    379, Loss  0.641595, Average Loss  0.644250, Time  0.260455
2021-09-09 22:05:37.159996 : Epoch  7, Batch   2142, Loss  0.862349, Average Loss  0.869747, Time  0.364742
2021-09-09 22:05:38.331199 : Epoch  1, Batch    380, Loss  0.636269, Average Loss  0.644205, Time  0.258366
2021-09-09 22:05:38.997776 : Epoch  7, Batch   2143, Loss  0.882766, Average Loss  0.869679, Time  0.425425
2021-09-09 22:05:40.230766 : Epoch  1, Batch    381, Loss  0.643971, Average Loss  0.644206, Time  0.258106
2021-09-09 22:05:40.864304 : Epoch  7, Batch   2144, Loss  0.876677, Average Loss  0.869854, Time  0.446834
2021-09-09 22:05:42.137774 : Epoch  1, Batch    382, Loss  0.639339, Average Loss  0.644192, Time  0.258717
2021-09-09 22:05:42.668834 : Epoch  7, Batch   2145, Loss  0.872521, Average Loss  0.870085, Time  0.373859
2021-09-09 22:05:44.038808 : Epoch  1, Batch    383, Loss  0.648837, Average Loss  0.644210, Time  0.257786
2021-09-09 22:05:44.428112 : Epoch  7, Batch   2146, Loss  0.874777, Average Loss  0.870017, Time  0.355751
2021-09-09 22:05:45.942957 : Epoch  1, Batch    384, Loss  0.646743, Average Loss  0.644179, Time  0.258283
2021-09-09 22:05:46.288772 : Epoch  7, Batch   2147, Loss  0.875492, Average Loss  0.870172, Time  0.416983
2021-09-09 22:05:47.816208 : Epoch  1, Batch    385, Loss  0.649893, Average Loss  0.644185, Time  0.257896
2021-09-09 22:05:48.185872 : Epoch  7, Batch   2148, Loss  0.856860, Average Loss  0.870052, Time  0.459100
2021-09-09 22:05:49.691863 : Epoch  1, Batch    386, Loss  0.651326, Average Loss  0.644180, Time  0.258260
2021-09-09 22:05:49.970358 : Epoch  7, Batch   2149, Loss  0.848833, Average Loss  0.870024, Time  0.357814
2021-09-09 22:05:51.565843 : Epoch  1, Batch    387, Loss  0.637375, Average Loss  0.644113, Time  0.258053
2021-09-09 22:05:51.749864 : Epoch  7, Batch   2150, Loss  0.864398, Average Loss  0.870050, Time  0.358131
2021-09-09 22:05:53.436056 : Epoch  1, Batch    388, Loss  0.647439, Average Loss  0.644141, Time  0.258176
2021-09-09 22:05:53.555776 : Epoch  7, Batch   2151, Loss  0.885263, Average Loss  0.870206, Time  0.368349
2021-09-09 22:05:55.309414 : Epoch  1, Batch    389, Loss  0.644577, Average Loss  0.644126, Time  0.257805
2021-09-09 22:05:55.478812 : Epoch  7, Batch   2152, Loss  0.853267, Average Loss  0.870113, Time  0.496294
2021-09-09 22:05:57.234176 : Epoch  1, Batch    390, Loss  0.652262, Average Loss  0.644145, Time  0.261267
2021-09-09 22:05:57.271170 : Epoch  7, Batch   2153, Loss  0.890778, Average Loss  0.870303, Time  0.368218
2021-09-09 22:05:59.080982 : Epoch  7, Batch   2154, Loss  0.810112, Average Loss  0.869906, Time  0.361743
2021-09-09 22:05:59.187872 : Epoch  1, Batch    391, Loss  0.636924, Average Loss  0.644129, Time  0.264453
2021-09-09 22:06:00.861788 : Epoch  7, Batch   2155, Loss  0.852001, Average Loss  0.869759, Time  0.357030
2021-09-09 22:06:01.081086 : Epoch  1, Batch    392, Loss  0.648849, Average Loss  0.644151, Time  0.258642
2021-09-09 22:06:02.717805 : Epoch  7, Batch   2156, Loss  0.874112, Average Loss  0.869852, Time  0.439313
2021-09-09 22:06:02.981927 : Epoch  1, Batch    393, Loss  0.651850, Average Loss  0.644162, Time  0.258580
2021-09-09 22:06:04.501775 : Epoch  7, Batch   2157, Loss  0.875657, Average Loss  0.869869, Time  0.354900
2021-09-09 22:06:04.835650 : Epoch  1, Batch    394, Loss  0.638608, Average Loss  0.644180, Time  0.258385
2021-09-09 22:06:06.344827 : Epoch  7, Batch   2158, Loss  0.896585, Average Loss  0.870006, Time  0.354185
2021-09-09 22:06:06.701886 : Epoch  1, Batch    395, Loss  0.635066, Average Loss  0.644096, Time  0.258093
2021-09-09 22:06:08.153774 : Epoch  7, Batch   2159, Loss  0.873873, Average Loss  0.870099, Time  0.373212
2021-09-09 22:06:08.564919 : Epoch  1, Batch    396, Loss  0.640563, Average Loss  0.644103, Time  0.260255
2021-09-09 22:06:09.993078 : Epoch  7, Batch   2160, Loss  0.874211, Average Loss  0.870127, Time  0.408062
2021-09-09 22:06:10.433566 : Epoch  1, Batch    397, Loss  0.642279, Average Loss  0.644135, Time  0.261772
2021-09-09 22:06:11.823779 : Epoch  7, Batch   2161, Loss  0.853857, Average Loss  0.870016, Time  0.355820
2021-09-09 22:06:12.297578 : Epoch  1, Batch    398, Loss  0.640475, Average Loss  0.644086, Time  0.261361
2021-09-09 22:06:13.651768 : Epoch  7, Batch   2162, Loss  0.868406, Average Loss  0.869990, Time  0.385287
2021-09-09 22:06:14.165097 : Epoch  1, Batch    399, Loss  0.646068, Average Loss  0.644111, Time  0.257858
2021-09-09 22:06:15.507785 : Epoch  7, Batch   2163, Loss  0.857666, Average Loss  0.869976, Time  0.409118
2021-09-09 22:06:16.043842 : Epoch  1, Batch    400, Loss  0.634818, Average Loss  0.644066, Time  0.262421
2021-09-09 22:06:17.323968 : Epoch  7, Batch   2164, Loss  0.868077, Average Loss  0.869953, Time  0.360229
2021-09-09 22:06:19.183952 : Epoch  7, Batch   2165, Loss  0.852366, Average Loss  0.869676, Time  0.413430
2021-09-09 22:06:20.968784 : Epoch  7, Batch   2166, Loss  0.861727, Average Loss  0.869682, Time  0.355479
2021-09-09 22:06:22.813857 : Epoch  7, Batch   2167, Loss  0.855151, Average Loss  0.869567, Time  0.412999
2021-09-09 22:06:24.628798 : Epoch  7, Batch   2168, Loss  0.877573, Average Loss  0.869696, Time  0.360136
2021-09-09 22:06:26.488924 : Epoch  7, Batch   2169, Loss  0.869178, Average Loss  0.869688, Time  0.403282
2021-09-09 22:06:28.274934 : Epoch  7, Batch   2170, Loss  0.900589, Average Loss  0.869979, Time  0.371881
2021-09-09 22:06:30.074629 : Epoch  7, Batch   2171, Loss  0.877626, Average Loss  0.869996, Time  0.380431
2021-09-09 22:06:31.858954 : Epoch  7, Batch   2172, Loss  0.821403, Average Loss  0.869611, Time  0.365360
2021-09-09 22:06:33.673314 : Epoch  7, Batch   2173, Loss  0.878653, Average Loss  0.869718, Time  0.383219
2021-09-09 22:06:35.447780 : Epoch  7, Batch   2174, Loss  0.874864, Average Loss  0.869780, Time  0.363488
2021-09-09 22:06:37.254148 : Epoch  7, Batch   2175, Loss  0.866467, Average Loss  0.869736, Time  0.377522
2021-09-09 22:06:39.052405 : Epoch  7, Batch   2176, Loss  0.889091, Average Loss  0.869862, Time  0.357856
2021-09-09 22:06:40.835231 : Epoch  7, Batch   2177, Loss  0.861118, Average Loss  0.869895, Time  0.372825
2021-09-09 22:06:42.654777 : Epoch  7, Batch   2178, Loss  0.861534, Average Loss  0.869842, Time  0.359860
2021-09-09 22:06:44.457231 : Epoch  7, Batch   2179, Loss  0.889185, Average Loss  0.869921, Time  0.372952
2021-09-09 22:06:46.239037 : Epoch  7, Batch   2180, Loss  0.877493, Average Loss  0.869872, Time  0.365245
2021-09-09 22:06:48.077303 : Epoch  7, Batch   2181, Loss  0.882198, Average Loss  0.869829, Time  0.375280
2021-09-09 22:06:49.883844 : Epoch  7, Batch   2182, Loss  0.856357, Average Loss  0.869782, Time  0.358676
2021-09-09 22:06:51.703372 : Epoch  7, Batch   2183, Loss  0.825107, Average Loss  0.869411, Time  0.359626
2021-09-09 22:06:53.478973 : Epoch  7, Batch   2184, Loss  0.847183, Average Loss  0.869267, Time  0.362304
2021-09-09 22:06:55.299935 : Epoch  7, Batch   2185, Loss  0.845138, Average Loss  0.869089, Time  0.385350
2021-09-09 22:06:57.145191 : Epoch  7, Batch   2186, Loss  0.854377, Average Loss  0.868993, Time  0.377529
2021-09-09 22:06:58.978124 : Epoch  7, Batch   2187, Loss  0.847045, Average Loss  0.868910, Time  0.357774
2021-09-09 22:07:00.802928 : Epoch  7, Batch   2188, Loss  0.862926, Average Loss  0.868568, Time  0.374610
2021-09-09 22:07:02.594766 : Epoch  7, Batch   2189, Loss  0.871481, Average Loss  0.868571, Time  0.359201
2021-09-09 22:07:04.407458 : Epoch  7, Batch   2190, Loss  0.859747, Average Loss  0.868443, Time  0.369715
2021-09-09 22:07:06.227826 : Epoch  7, Batch   2191, Loss  0.875238, Average Loss  0.868582, Time  0.366812
2021-09-09 22:07:08.049775 : Epoch  7, Batch   2192, Loss  0.852155, Average Loss  0.868436, Time  0.365163
2021-09-09 22:07:09.858185 : Epoch  7, Batch   2193, Loss  0.902577, Average Loss  0.868486, Time  0.369557
2021-09-09 22:07:11.624319 : Epoch  7, Batch   2194, Loss  0.897173, Average Loss  0.868577, Time  0.357553
2021-09-09 22:07:13.426782 : Epoch  7, Batch   2195, Loss  0.886590, Average Loss  0.868684, Time  0.386077
2021-09-09 22:07:15.182231 : Epoch  7, Batch   2196, Loss  0.835860, Average Loss  0.868556, Time  0.360085
2021-09-09 22:07:16.969101 : Epoch  7, Batch   2197, Loss  0.831960, Average Loss  0.868407, Time  0.377526
2021-09-09 22:07:18.740781 : Epoch  7, Batch   2198, Loss  0.892991, Average Loss  0.868635, Time  0.358005
2021-09-09 22:07:20.526416 : Epoch  7, Batch   2199, Loss  0.877204, Average Loss  0.868544, Time  0.380070
2021-09-09 22:07:22.304108 : Epoch  7, Batch   2200, Loss  0.876562, Average Loss  0.868564, Time  0.357295
2021-09-09 22:07:24.111938 : Epoch  7, Batch   2201, Loss  0.891102, Average Loss  0.868639, Time  0.380634
2021-09-09 22:07:25.893553 : Epoch  7, Batch   2202, Loss  0.911921, Average Loss  0.868964, Time  0.367861
2021-09-09 22:07:26.317739 : CheckPoint: Validation Loss  0.00027239, Best Loss  0.00027239
2021-09-09 22:07:26.406626 : Best Model Updated
2021-09-09 22:07:27.680790 : Epoch  7, Batch   2203, Loss  0.863482, Average Loss  0.868802, Time  0.372508
2021-09-09 22:07:29.175927 : Epoch  1, Batch    401, Loss  0.630545, Average Loss  0.643966, Time  0.267530
2021-09-09 22:07:29.449527 : Epoch  7, Batch   2204, Loss  0.861614, Average Loss  0.868625, Time  0.359305
2021-09-09 22:07:31.079749 : Epoch  1, Batch    402, Loss  0.659611, Average Loss  0.644052, Time  0.258343
2021-09-09 22:07:31.246794 : Epoch  7, Batch   2205, Loss  0.865956, Average Loss  0.868592, Time  0.374403
2021-09-09 22:07:32.974840 : Epoch  1, Batch    403, Loss  0.653268, Average Loss  0.644108, Time  0.257779
2021-09-09 22:07:33.023185 : Epoch  7, Batch   2206, Loss  0.866048, Average Loss  0.868701, Time  0.359433
2021-09-09 22:07:34.968772 : Epoch  7, Batch   2207, Loss  0.844958, Average Loss  0.868677, Time  0.361079
2021-09-09 22:07:35.006544 : Epoch  1, Batch    404, Loss  0.643509, Average Loss  0.644146, Time  0.258627
2021-09-09 22:07:36.780955 : Epoch  7, Batch   2208, Loss  0.893138, Average Loss  0.868837, Time  0.358328
2021-09-09 22:07:36.893935 : Epoch  1, Batch    405, Loss  0.640519, Average Loss  0.644087, Time  0.262717
2021-09-09 22:07:38.568780 : Epoch  7, Batch   2209, Loss  0.867386, Average Loss  0.868505, Time  0.358303
2021-09-09 22:07:38.782832 : Epoch  1, Batch    406, Loss  0.640167, Average Loss  0.644110, Time  0.259307
2021-09-09 22:07:40.363114 : Epoch  7, Batch   2210, Loss  0.860887, Average Loss  0.868521, Time  0.359951
2021-09-09 22:07:40.656801 : Epoch  1, Batch    407, Loss  0.636710, Average Loss  0.644053, Time  0.263541
2021-09-09 22:07:42.174892 : Epoch  7, Batch   2211, Loss  0.840754, Average Loss  0.868153, Time  0.364017
2021-09-09 22:07:42.530124 : Epoch  1, Batch    408, Loss  0.632918, Average Loss  0.643992, Time  0.261060
2021-09-09 22:07:43.985070 : Epoch  7, Batch   2212, Loss  0.893140, Average Loss  0.868360, Time  0.359325
2021-09-09 22:07:44.409786 : Epoch  1, Batch    409, Loss  0.639633, Average Loss  0.643971, Time  0.263528
2021-09-09 22:07:45.768799 : Epoch  7, Batch   2213, Loss  0.882385, Average Loss  0.868467, Time  0.364871
2021-09-09 22:07:46.296796 : Epoch  1, Batch    410, Loss  0.648279, Average Loss  0.644064, Time  0.258322
2021-09-09 22:07:47.586245 : Epoch  7, Batch   2214, Loss  0.890197, Average Loss  0.868601, Time  0.368350
2021-09-09 22:07:48.199825 : Epoch  1, Batch    411, Loss  0.637590, Average Loss  0.644017, Time  0.264155
2021-09-09 22:07:49.406777 : Epoch  7, Batch   2215, Loss  0.850186, Average Loss  0.868404, Time  0.367691
2021-09-09 22:07:50.094763 : Epoch  1, Batch    412, Loss  0.636980, Average Loss  0.643938, Time  0.262059
2021-09-09 22:07:51.193717 : Epoch  7, Batch   2216, Loss  0.840984, Average Loss  0.868366, Time  0.363744
2021-09-09 22:07:52.010762 : Epoch  1, Batch    413, Loss  0.646205, Average Loss  0.643967, Time  0.270781
2021-09-09 22:07:52.977780 : Epoch  7, Batch   2217, Loss  0.854010, Average Loss  0.868284, Time  0.375992
2021-09-09 22:07:53.908925 : Epoch  1, Batch    414, Loss  0.634842, Average Loss  0.643947, Time  0.258166
2021-09-09 22:07:54.755124 : Epoch  7, Batch   2218, Loss  0.899725, Average Loss  0.868467, Time  0.359554
2021-09-09 22:07:55.819984 : Epoch  1, Batch    415, Loss  0.641854, Average Loss  0.643927, Time  0.257914
2021-09-09 22:07:56.571783 : Epoch  7, Batch   2219, Loss  0.864681, Average Loss  0.868364, Time  0.368770
2021-09-09 22:07:57.724796 : Epoch  1, Batch    416, Loss  0.639791, Average Loss  0.643875, Time  0.258539
2021-09-09 22:07:58.379089 : Epoch  7, Batch   2220, Loss  0.847075, Average Loss  0.868315, Time  0.359425
2021-09-09 22:07:59.627776 : Epoch  1, Batch    417, Loss  0.638824, Average Loss  0.643828, Time  0.259326
2021-09-09 22:08:00.186082 : Epoch  7, Batch   2221, Loss  0.869393, Average Loss  0.868306, Time  0.362667
2021-09-09 22:08:01.526084 : Epoch  1, Batch    418, Loss  0.642742, Average Loss  0.643841, Time  0.259177
2021-09-09 22:08:01.987866 : Epoch  7, Batch   2222, Loss  0.896196, Average Loss  0.868399, Time  0.359053
2021-09-09 22:08:03.438834 : Epoch  1, Batch    419, Loss  0.649439, Average Loss  0.643910, Time  0.267101
2021-09-09 22:08:03.800772 : Epoch  7, Batch   2223, Loss  0.910279, Average Loss  0.868585, Time  0.361670
2021-09-09 22:08:05.321818 : Epoch  1, Batch    420, Loss  0.635845, Average Loss  0.643859, Time  0.258332
2021-09-09 22:08:05.592261 : Epoch  7, Batch   2224, Loss  0.852919, Average Loss  0.868609, Time  0.357396
2021-09-09 22:08:07.206855 : Epoch  1, Batch    421, Loss  0.643699, Average Loss  0.643897, Time  0.258272
2021-09-09 22:08:07.402765 : Epoch  7, Batch   2225, Loss  0.837270, Average Loss  0.868438, Time  0.365311
2021-09-09 22:08:09.157980 : Epoch  1, Batch    422, Loss  0.651223, Average Loss  0.643944, Time  0.264482
2021-09-09 22:08:09.214087 : Epoch  7, Batch   2226, Loss  0.868442, Average Loss  0.868336, Time  0.358647
2021-09-09 22:08:11.057921 : Epoch  7, Batch   2227, Loss  0.869758, Average Loss  0.868296, Time  0.375654
2021-09-09 22:08:11.143094 : Epoch  1, Batch    423, Loss  0.651789, Average Loss  0.643964, Time  0.269485
2021-09-09 22:08:12.839021 : Epoch  7, Batch   2228, Loss  0.865120, Average Loss  0.868370, Time  0.360299
2021-09-09 22:08:13.048093 : Epoch  1, Batch    424, Loss  0.634485, Average Loss  0.643860, Time  0.264473
2021-09-09 22:08:14.621913 : Epoch  7, Batch   2229, Loss  0.899763, Average Loss  0.868652, Time  0.365776
2021-09-09 22:08:14.965761 : Epoch  1, Batch    425, Loss  0.637732, Average Loss  0.643805, Time  0.260865
2021-09-09 22:08:16.439770 : Epoch  7, Batch   2230, Loss  0.872748, Average Loss  0.868644, Time  0.360518
2021-09-09 22:08:16.859067 : Epoch  1, Batch    426, Loss  0.640819, Average Loss  0.643808, Time  0.270280
2021-09-09 22:08:18.223878 : Epoch  7, Batch   2231, Loss  0.874681, Average Loss  0.868704, Time  0.367448
2021-09-09 22:08:18.737411 : Epoch  1, Batch    427, Loss  0.643924, Average Loss  0.643842, Time  0.258533
2021-09-09 22:08:20.017775 : Epoch  7, Batch   2232, Loss  0.890558, Average Loss  0.868808, Time  0.365558
2021-09-09 22:08:20.608794 : Epoch  1, Batch    428, Loss  0.636460, Average Loss  0.643810, Time  0.270519
2021-09-09 22:08:21.824794 : Epoch  7, Batch   2233, Loss  0.877615, Average Loss  0.868977, Time  0.370939
2021-09-09 22:08:22.483764 : Epoch  1, Batch    429, Loss  0.635268, Average Loss  0.643736, Time  0.262134
2021-09-09 22:08:23.614780 : Epoch  7, Batch   2234, Loss  0.817305, Average Loss  0.868860, Time  0.368308
2021-09-09 22:08:24.372073 : Epoch  1, Batch    430, Loss  0.645147, Average Loss  0.643733, Time  0.268848
2021-09-09 22:08:26.322096 : Epoch  1, Batch    431, Loss  0.634922, Average Loss  0.643698, Time  0.279406
2021-09-09 22:08:28.229222 : Epoch  1, Batch    432, Loss  0.640004, Average Loss  0.643695, Time  0.261931
2021-09-09 22:08:30.117676 : Epoch  1, Batch    433, Loss  0.652807, Average Loss  0.643716, Time  0.264931
2021-09-09 22:08:31.990839 : Epoch  1, Batch    434, Loss  0.651542, Average Loss  0.643725, Time  0.259122
2021-09-09 22:08:33.869501 : Epoch  1, Batch    435, Loss  0.648584, Average Loss  0.643778, Time  0.259051
2021-09-09 22:08:35.755091 : Epoch  1, Batch    436, Loss  0.649575, Average Loss  0.643818, Time  0.261523
2021-09-09 22:08:37.646780 : Epoch  1, Batch    437, Loss  0.649830, Average Loss  0.643836, Time  0.258748
2021-09-09 22:08:39.534914 : Epoch  1, Batch    438, Loss  0.643018, Average Loss  0.643841, Time  0.262870
2021-09-09 22:08:41.437888 : Epoch  1, Batch    439, Loss  0.644670, Average Loss  0.643855, Time  0.258097
2021-09-09 22:08:43.341074 : Epoch  1, Batch    440, Loss  0.640620, Average Loss  0.643849, Time  0.257830
2021-09-09 22:08:45.265905 : Epoch  1, Batch    441, Loss  0.638785, Average Loss  0.643794, Time  0.261981
2021-09-09 22:08:47.183957 : Epoch  1, Batch    442, Loss  0.639115, Average Loss  0.643796, Time  0.259511
2021-09-09 22:08:49.072089 : Epoch  1, Batch    443, Loss  0.645476, Average Loss  0.643813, Time  0.262380
2021-09-09 22:08:50.941125 : Epoch  1, Batch    444, Loss  0.639409, Average Loss  0.643759, Time  0.262666
2021-09-09 22:08:52.829856 : Epoch  1, Batch    445, Loss  0.645437, Average Loss  0.643798, Time  0.261378
2021-09-09 22:08:54.712863 : Epoch  1, Batch    446, Loss  0.643930, Average Loss  0.643857, Time  0.258568
2021-09-09 22:08:56.602904 : Epoch  1, Batch    447, Loss  0.641302, Average Loss  0.643838, Time  0.265806
2021-09-09 22:08:58.507099 : Epoch  1, Batch    448, Loss  0.644407, Average Loss  0.643817, Time  0.259063
2021-09-09 22:09:00.412091 : Epoch  1, Batch    449, Loss  0.635876, Average Loss  0.643772, Time  0.262066
2021-09-09 22:09:02.295774 : Epoch  1, Batch    450, Loss  0.643465, Average Loss  0.643706, Time  0.262326
2021-09-09 22:09:04.185818 : Epoch  1, Batch    451, Loss  0.643213, Average Loss  0.643692, Time  0.260825
2021-09-09 22:09:06.079802 : Epoch  1, Batch    452, Loss  0.645895, Average Loss  0.643678, Time  0.265270
2021-09-09 22:09:07.962801 : Epoch  1, Batch    453, Loss  0.640540, Average Loss  0.643608, Time  0.269572
2021-09-09 22:09:09.869076 : Epoch  1, Batch    454, Loss  0.635757, Average Loss  0.643609, Time  0.268929
2021-09-09 22:09:11.755829 : Epoch  1, Batch    455, Loss  0.645435, Average Loss  0.643639, Time  0.265621
2021-09-09 22:09:13.631079 : Epoch  1, Batch    456, Loss  0.639893, Average Loss  0.643597, Time  0.258209
2021-09-09 22:09:15.508897 : Epoch  1, Batch    457, Loss  0.650246, Average Loss  0.643558, Time  0.258800
2021-09-09 22:09:17.375932 : Epoch  1, Batch    458, Loss  0.635880, Average Loss  0.643569, Time  0.258405
2021-09-09 22:09:19.243324 : Epoch  1, Batch    459, Loss  0.640866, Average Loss  0.643554, Time  0.260516
2021-09-09 22:09:21.118791 : Epoch  1, Batch    460, Loss  0.637049, Average Loss  0.643486, Time  0.264523
2021-09-09 22:09:22.990949 : Epoch  1, Batch    461, Loss  0.642056, Average Loss  0.643458, Time  0.262429
2021-09-09 22:09:24.870873 : Epoch  1, Batch    462, Loss  0.635294, Average Loss  0.643399, Time  0.257925
2021-09-09 22:09:26.771777 : Epoch  1, Batch    463, Loss  0.643124, Average Loss  0.643434, Time  0.258029
2021-09-09 22:09:28.674769 : Epoch  1, Batch    464, Loss  0.641984, Average Loss  0.643455, Time  0.258153
2021-09-09 22:09:30.568055 : Epoch  1, Batch    465, Loss  0.634321, Average Loss  0.643406, Time  0.257938
2021-09-09 22:09:32.452888 : Epoch  1, Batch    466, Loss  0.640414, Average Loss  0.643383, Time  0.257915
2021-09-09 22:09:34.373894 : Epoch  1, Batch    467, Loss  0.644409, Average Loss  0.643424, Time  0.257598
2021-09-09 22:09:36.267781 : Epoch  1, Batch    468, Loss  0.646663, Average Loss  0.643431, Time  0.258040
2021-09-09 22:09:38.178908 : Epoch  1, Batch    469, Loss  0.647933, Average Loss  0.643440, Time  0.257906
2021-09-09 22:09:40.062815 : Epoch  1, Batch    470, Loss  0.649313, Average Loss  0.643434, Time  0.258566
2021-09-09 22:09:44.043054 : Epoch  1, Batch    471, Loss  0.635327, Average Loss  0.643394, Time  0.270705
2021-09-09 22:09:45.958046 : Epoch  1, Batch    472, Loss  0.621256, Average Loss  0.643297, Time  0.258975
2021-09-09 22:09:47.855096 : Epoch  1, Batch    473, Loss  0.635251, Average Loss  0.643234, Time  0.258637
2021-09-09 22:09:49.739772 : Epoch  1, Batch    474, Loss  0.635856, Average Loss  0.643170, Time  0.258210
2021-09-09 22:09:51.649774 : Epoch  1, Batch    475, Loss  0.637402, Average Loss  0.643166, Time  0.260136
2021-09-09 22:09:53.522916 : Epoch  1, Batch    476, Loss  0.636714, Average Loss  0.643093, Time  0.257671
2021-09-09 22:09:55.391922 : Epoch  1, Batch    477, Loss  0.639464, Average Loss  0.643058, Time  0.257511
2021-09-09 22:09:57.287923 : Epoch  1, Batch    478, Loss  0.648313, Average Loss  0.643090, Time  0.258209
2021-09-09 22:09:59.184068 : Epoch  1, Batch    479, Loss  0.638038, Average Loss  0.643064, Time  0.257964
2021-09-09 22:10:01.061811 : Epoch  1, Batch    480, Loss  0.632805, Average Loss  0.642993, Time  0.258496
2021-09-09 22:10:02.946777 : Epoch  1, Batch    481, Loss  0.639738, Average Loss  0.642972, Time  0.259183
2021-09-09 22:10:04.850495 : Epoch  1, Batch    482, Loss  0.631036, Average Loss  0.642920, Time  0.259032
2021-09-09 22:10:06.731042 : Epoch  1, Batch    483, Loss  0.646320, Average Loss  0.642957, Time  0.261674
2021-09-09 22:10:08.615091 : Epoch  1, Batch    484, Loss  0.640135, Average Loss  0.642897, Time  0.257868
2021-09-09 22:10:10.517900 : Epoch  1, Batch    485, Loss  0.640306, Average Loss  0.642826, Time  0.258366
2021-09-09 22:10:12.387840 : Epoch  1, Batch    486, Loss  0.643918, Average Loss  0.642794, Time  0.258251
2021-09-09 22:10:14.277823 : Epoch  1, Batch    487, Loss  0.640460, Average Loss  0.642773, Time  0.259761
2021-09-09 22:10:16.174827 : Epoch  1, Batch    488, Loss  0.639357, Average Loss  0.642769, Time  0.257875
2021-09-09 22:10:18.060811 : Epoch  1, Batch    489, Loss  0.641918, Average Loss  0.642732, Time  0.262017
2021-09-09 22:10:19.937042 : Epoch  1, Batch    490, Loss  0.644534, Average Loss  0.642727, Time  0.265742
2021-09-09 22:10:21.821661 : Epoch  1, Batch    491, Loss  0.636008, Average Loss  0.642698, Time  0.264364
2021-09-09 22:10:23.691849 : Epoch  1, Batch    492, Loss  0.646273, Average Loss  0.642679, Time  0.257907
2021-09-09 22:10:25.591085 : Epoch  1, Batch    493, Loss  0.637667, Average Loss  0.642609, Time  0.257978
2021-09-09 22:10:27.486689 : Epoch  1, Batch    494, Loss  0.647842, Average Loss  0.642631, Time  0.257921
2021-09-09 22:10:29.368097 : Epoch  1, Batch    495, Loss  0.644755, Average Loss  0.642620, Time  0.258528
2021-09-09 22:10:31.245087 : Epoch  1, Batch    496, Loss  0.638738, Average Loss  0.642601, Time  0.263842
2021-09-09 22:10:33.125848 : Epoch  1, Batch    497, Loss  0.637163, Average Loss  0.642593, Time  0.257912
2021-09-09 22:10:35.031485 : Epoch  1, Batch    498, Loss  0.639780, Average Loss  0.642561, Time  0.262187
2021-09-09 22:10:36.906953 : Epoch  1, Batch    499, Loss  0.642259, Average Loss  0.642513, Time  0.257891
2021-09-09 22:10:38.780108 : Epoch  1, Batch    500, Loss  0.647020, Average Loss  0.642533, Time  0.257992
2021-09-09 22:11:48.349755 : CheckPoint: Validation Loss  0.00026779, Best Loss  0.00026779
2021-09-09 22:11:48.407627 : Best Model Updated
2021-09-09 22:11:51.361868 : Epoch  1, Batch    501, Loss  0.637514, Average Loss  0.642532, Time  0.264287
2021-09-09 22:11:53.262797 : Epoch  1, Batch    502, Loss  0.639206, Average Loss  0.642468, Time  0.257955
2021-09-09 22:11:55.167852 : Epoch  1, Batch    503, Loss  0.644473, Average Loss  0.642416, Time  0.258036
2021-09-09 22:11:57.045828 : Epoch  1, Batch    504, Loss  0.639755, Average Loss  0.642380, Time  0.262256
2021-09-09 22:11:58.934924 : Epoch  1, Batch    505, Loss  0.637330, Average Loss  0.642377, Time  0.262104
2021-09-09 22:12:00.830045 : Epoch  1, Batch    506, Loss  0.642581, Average Loss  0.642337, Time  0.258360
2021-09-09 22:12:02.726060 : Epoch  1, Batch    507, Loss  0.640278, Average Loss  0.642310, Time  0.258694
2021-09-09 22:12:04.622044 : Epoch  1, Batch    508, Loss  0.645076, Average Loss  0.642336, Time  0.257908
2021-09-09 22:12:06.541819 : Epoch  1, Batch    509, Loss  0.645165, Average Loss  0.642330, Time  0.258044
2021-09-09 22:12:08.416782 : Epoch  1, Batch    510, Loss  0.633789, Average Loss  0.642280, Time  0.258163
2021-09-09 22:12:10.311863 : Epoch  1, Batch    511, Loss  0.636210, Average Loss  0.642240, Time  0.257871
2021-09-09 22:12:12.225907 : Epoch  1, Batch    512, Loss  0.636097, Average Loss  0.642180, Time  0.257970
2021-09-09 22:12:14.138845 : Epoch  1, Batch    513, Loss  0.634747, Average Loss  0.642151, Time  0.258462
2021-09-09 22:12:16.026971 : Epoch  1, Batch    514, Loss  0.639985, Average Loss  0.642143, Time  0.257672
2021-09-09 22:12:17.930772 : Epoch  1, Batch    515, Loss  0.637441, Average Loss  0.642086, Time  0.258071
2021-09-09 22:12:19.807963 : Epoch  1, Batch    516, Loss  0.640524, Average Loss  0.642060, Time  0.262629
2021-09-09 22:12:21.699984 : Epoch  1, Batch    517, Loss  0.644299, Average Loss  0.642084, Time  0.258790
2021-09-09 22:12:23.584120 : Epoch  1, Batch    518, Loss  0.634629, Average Loss  0.642036, Time  0.258555
2021-09-09 22:12:25.501121 : Epoch  1, Batch    519, Loss  0.645356, Average Loss  0.642040, Time  0.263337
2021-09-09 22:12:27.436047 : Epoch  1, Batch    520, Loss  0.635855, Average Loss  0.641950, Time  0.257791
2021-09-09 22:12:29.372806 : Epoch  1, Batch    521, Loss  0.630322, Average Loss  0.641846, Time  0.257806
2021-09-09 22:12:31.287047 : Epoch  1, Batch    522, Loss  0.642603, Average Loss  0.641874, Time  0.257927
2021-09-09 22:12:33.186774 : Epoch  1, Batch    523, Loss  0.644871, Average Loss  0.641917, Time  0.257917
2021-09-09 22:12:35.095065 : Epoch  1, Batch    524, Loss  0.639912, Average Loss  0.641938, Time  0.258109
2021-09-09 22:12:37.020078 : Epoch  1, Batch    525, Loss  0.628434, Average Loss  0.641900, Time  0.257674
2021-09-09 22:12:38.943064 : Epoch  1, Batch    526, Loss  0.655139, Average Loss  0.642006, Time  0.260448
2021-09-09 22:12:40.845268 : Epoch  1, Batch    527, Loss  0.641746, Average Loss  0.641994, Time  0.258021
2021-09-09 22:12:42.733805 : Epoch  1, Batch    528, Loss  0.643151, Average Loss  0.642019, Time  0.258026
2021-09-09 22:12:44.652804 : Epoch  1, Batch    529, Loss  0.646388, Average Loss  0.642021, Time  0.258091
2021-09-09 22:12:46.553042 : Epoch  1, Batch    530, Loss  0.646926, Average Loss  0.642079, Time  0.257955
2021-09-09 22:12:48.514811 : Epoch  1, Batch    531, Loss  0.633795, Average Loss  0.642013, Time  0.258035
2021-09-09 22:12:50.415786 : Epoch  1, Batch    532, Loss  0.642938, Average Loss  0.642032, Time  0.257684
2021-09-09 22:12:52.336754 : Epoch  1, Batch    533, Loss  0.637694, Average Loss  0.641967, Time  0.260269
2021-09-09 22:12:54.275125 : Epoch  1, Batch    534, Loss  0.642625, Average Loss  0.641938, Time  0.258531
2021-09-09 22:12:56.178407 : Epoch  1, Batch    535, Loss  0.637756, Average Loss  0.641918, Time  0.257612
2021-09-09 22:12:58.073066 : Epoch  1, Batch    536, Loss  0.637995, Average Loss  0.641867, Time  0.258625
2021-09-09 22:12:59.965998 : Epoch  1, Batch    537, Loss  0.636860, Average Loss  0.641895, Time  0.258587
2021-09-09 22:13:01.883806 : Epoch  1, Batch    538, Loss  0.633599, Average Loss  0.641886, Time  0.258137
2021-09-09 22:13:03.808799 : Epoch  1, Batch    539, Loss  0.639464, Average Loss  0.641839, Time  0.258079
2021-09-09 22:13:05.728134 : Epoch  1, Batch    540, Loss  0.649206, Average Loss  0.641880, Time  0.257861
2021-09-09 22:13:07.616170 : Epoch  1, Batch    541, Loss  0.633057, Average Loss  0.641831, Time  0.260582
2021-09-09 22:13:09.509803 : Epoch  1, Batch    542, Loss  0.634946, Average Loss  0.641774, Time  0.261136
2021-09-09 22:13:11.403095 : Epoch  1, Batch    543, Loss  0.641241, Average Loss  0.641725, Time  0.258112
2021-09-09 22:13:13.319909 : Epoch  1, Batch    544, Loss  0.639120, Average Loss  0.641655, Time  0.260623
2021-09-09 22:13:13.565723 : CheckPoint: Validation Loss  0.00061350, Best Loss  0.00056427
2021-09-09 22:13:15.211844 : Epoch  1, Batch    545, Loss  0.642320, Average Loss  0.641689, Time  0.258386
2021-09-09 22:13:15.337776 : Epoch  7, Batch   2235, Loss  0.874024, Average Loss  0.868896, Time  0.357721
2021-09-09 22:13:17.101987 : Epoch  1, Batch    546, Loss  0.646772, Average Loss  0.641671, Time  0.258772
2021-09-09 22:13:17.154072 : Epoch  7, Batch   2236, Loss  0.860498, Average Loss  0.869015, Time  0.416318
2021-09-09 22:13:18.975954 : Epoch  7, Batch   2237, Loss  0.867573, Average Loss  0.868923, Time  0.384454
2021-09-09 22:13:19.026922 : Epoch  1, Batch    547, Loss  0.641599, Average Loss  0.641648, Time  0.265692
2021-09-09 22:13:20.816136 : Epoch  7, Batch   2238, Loss  0.873523, Average Loss  0.868851, Time  0.413791
2021-09-09 22:13:20.943772 : Epoch  1, Batch    548, Loss  0.642572, Average Loss  0.641631, Time  0.257658
2021-09-09 22:13:22.588956 : Epoch  7, Batch   2239, Loss  0.896277, Average Loss  0.868993, Time  0.362306
2021-09-09 22:13:22.837076 : Epoch  1, Batch    549, Loss  0.634758, Average Loss  0.641609, Time  0.257857
2021-09-09 22:13:24.434001 : Epoch  7, Batch   2240, Loss  0.886821, Average Loss  0.869179, Time  0.404555
2021-09-09 22:13:24.753038 : Epoch  1, Batch    550, Loss  0.642453, Average Loss  0.641579, Time  0.257845
2021-09-09 22:13:26.294127 : Epoch  7, Batch   2241, Loss  0.893115, Average Loss  0.869167, Time  0.371691
2021-09-09 22:13:26.817788 : Epoch  1, Batch    551, Loss  0.645502, Average Loss  0.641570, Time  0.268178
2021-09-09 22:13:28.084825 : Epoch  7, Batch   2242, Loss  0.845892, Average Loss  0.869146, Time  0.364901
2021-09-09 22:13:28.696903 : Epoch  1, Batch    552, Loss  0.644749, Average Loss  0.641547, Time  0.261926
2021-09-09 22:13:29.896121 : Epoch  7, Batch   2243, Loss  0.863302, Average Loss  0.869134, Time  0.363783
2021-09-09 22:13:30.605086 : Epoch  1, Batch    553, Loss  0.639747, Average Loss  0.641528, Time  0.263531
2021-09-09 22:13:31.699783 : Epoch  7, Batch   2244, Loss  0.900472, Average Loss  0.869251, Time  0.371692
2021-09-09 22:13:32.513767 : Epoch  1, Batch    554, Loss  0.646916, Average Loss  0.641537, Time  0.258466
2021-09-09 22:13:33.487891 : Epoch  7, Batch   2245, Loss  0.847415, Average Loss  0.869228, Time  0.357923
2021-09-09 22:13:34.429095 : Epoch  1, Batch    555, Loss  0.639555, Average Loss  0.641515, Time  0.261938
2021-09-09 22:13:35.317776 : Epoch  7, Batch   2246, Loss  0.845303, Average Loss  0.869074, Time  0.385620
2021-09-09 22:13:36.325708 : Epoch  1, Batch    556, Loss  0.636545, Average Loss  0.641513, Time  0.266032
2021-09-09 22:13:37.122909 : Epoch  7, Batch   2247, Loss  0.872832, Average Loss  0.869013, Time  0.359245
2021-09-09 22:13:38.200883 : Epoch  1, Batch    557, Loss  0.645474, Average Loss  0.641532, Time  0.258153
2021-09-09 22:13:38.924828 : Epoch  7, Batch   2248, Loss  0.881094, Average Loss  0.868934, Time  0.362241
2021-09-09 22:13:40.080989 : Epoch  1, Batch    558, Loss  0.625576, Average Loss  0.641447, Time  0.260791
2021-09-09 22:13:40.710255 : Epoch  7, Batch   2249, Loss  0.901243, Average Loss  0.869106, Time  0.357044
2021-09-09 22:13:41.976883 : Epoch  1, Batch    559, Loss  0.634364, Average Loss  0.641405, Time  0.269681
2021-09-09 22:13:42.504822 : Epoch  7, Batch   2250, Loss  0.864063, Average Loss  0.869291, Time  0.365671
2021-09-09 22:13:43.871416 : Epoch  1, Batch    560, Loss  0.639470, Average Loss  0.641372, Time  0.259913
2021-09-09 22:13:44.309781 : Epoch  7, Batch   2251, Loss  0.893828, Average Loss  0.869479, Time  0.357356
2021-09-09 22:13:45.754401 : Epoch  1, Batch    561, Loss  0.634276, Average Loss  0.641350, Time  0.258362
2021-09-09 22:13:46.138855 : Epoch  7, Batch   2252, Loss  0.886262, Average Loss  0.869725, Time  0.365957
2021-09-09 22:13:47.650170 : Epoch  1, Batch    562, Loss  0.639304, Average Loss  0.641370, Time  0.258096
2021-09-09 22:13:47.929764 : Epoch  7, Batch   2253, Loss  0.871210, Average Loss  0.869636, Time  0.359643
2021-09-09 22:13:49.532600 : Epoch  1, Batch    563, Loss  0.635815, Average Loss  0.641332, Time  0.258909
2021-09-09 22:13:49.694200 : Epoch  7, Batch   2254, Loss  0.896328, Average Loss  0.869751, Time  0.368891
2021-09-09 22:13:51.412092 : Epoch  1, Batch    564, Loss  0.639414, Average Loss  0.641307, Time  0.260643
2021-09-09 22:13:51.458752 : Epoch  7, Batch   2255, Loss  0.839102, Average Loss  0.869517, Time  0.356822
2021-09-09 22:13:53.259134 : Epoch  7, Batch   2256, Loss  0.877248, Average Loss  0.869522, Time  0.371784
2021-09-09 22:13:53.313935 : Epoch  1, Batch    565, Loss  0.646099, Average Loss  0.641340, Time  0.259319
2021-09-09 22:13:55.031767 : Epoch  7, Batch   2257, Loss  0.873078, Average Loss  0.869453, Time  0.359488
2021-09-09 22:13:55.210866 : Epoch  1, Batch    566, Loss  0.648739, Average Loss  0.641363, Time  0.258094
2021-09-09 22:13:56.820126 : Epoch  7, Batch   2258, Loss  0.866652, Average Loss  0.869486, Time  0.375576
2021-09-09 22:13:57.102716 : Epoch  1, Batch    567, Loss  0.641797, Average Loss  0.641412, Time  0.258018
2021-09-09 22:13:58.605908 : Epoch  7, Batch   2259, Loss  0.868927, Average Loss  0.869481, Time  0.356362
2021-09-09 22:13:58.982881 : Epoch  1, Batch    568, Loss  0.643580, Average Loss  0.641429, Time  0.258121
2021-09-09 22:14:00.417093 : Epoch  7, Batch   2260, Loss  0.893190, Average Loss  0.869604, Time  0.368742
2021-09-09 22:14:00.878787 : Epoch  1, Batch    569, Loss  0.642440, Average Loss  0.641427, Time  0.258739
2021-09-09 22:14:02.201229 : Epoch  7, Batch   2261, Loss  0.844674, Average Loss  0.869355, Time  0.359272
2021-09-09 22:14:02.742088 : Epoch  1, Batch    570, Loss  0.644520, Average Loss  0.641431, Time  0.257944
2021-09-09 22:14:04.013986 : Epoch  7, Batch   2262, Loss  0.845158, Average Loss  0.869199, Time  0.369439
2021-09-09 22:14:05.835857 : Epoch  7, Batch   2263, Loss  0.857132, Average Loss  0.869078, Time  0.357408
2021-09-09 22:14:06.731096 : Epoch  1, Batch    571, Loss  0.634459, Average Loss  0.641371, Time  0.270914
2021-09-09 22:14:07.637773 : Epoch  7, Batch   2264, Loss  0.860386, Average Loss  0.869012, Time  0.360103
2021-09-09 22:14:08.625058 : Epoch  1, Batch    572, Loss  0.646709, Average Loss  0.641373, Time  0.258275
2021-09-09 22:14:09.429787 : Epoch  7, Batch   2265, Loss  0.870788, Average Loss  0.869122, Time  0.360572
2021-09-09 22:14:10.539759 : Epoch  1, Batch    573, Loss  0.644170, Average Loss  0.641344, Time  0.258242
2021-09-09 22:14:11.225817 : Epoch  7, Batch   2266, Loss  0.862518, Average Loss  0.869077, Time  0.374425
2021-09-09 22:14:12.434960 : Epoch  1, Batch    574, Loss  0.638330, Average Loss  0.641296, Time  0.261800
2021-09-09 22:14:13.043772 : Epoch  7, Batch   2267, Loss  0.877563, Average Loss  0.869160, Time  0.367089
2021-09-09 22:14:14.335954 : Epoch  1, Batch    575, Loss  0.637939, Average Loss  0.641245, Time  0.266432
2021-09-09 22:14:14.857137 : Epoch  7, Batch   2268, Loss  0.847873, Average Loss  0.868988, Time  0.364240
2021-09-09 22:14:16.243717 : Epoch  1, Batch    576, Loss  0.645949, Average Loss  0.641286, Time  0.261198
2021-09-09 22:14:16.665228 : Epoch  7, Batch   2269, Loss  0.844112, Average Loss  0.868758, Time  0.361174
2021-09-09 22:14:18.115393 : Epoch  1, Batch    577, Loss  0.643604, Average Loss  0.641255, Time  0.258810
2021-09-09 22:14:18.455116 : Epoch  7, Batch   2270, Loss  0.865175, Average Loss  0.868755, Time  0.373746
2021-09-09 22:14:19.992240 : Epoch  1, Batch    578, Loss  0.640587, Average Loss  0.641249, Time  0.262385
2021-09-09 22:14:20.260916 : Epoch  7, Batch   2271, Loss  0.875767, Average Loss  0.868714, Time  0.371852
2021-09-09 22:14:21.873833 : Epoch  1, Batch    579, Loss  0.646959, Average Loss  0.641276, Time  0.262639
2021-09-09 22:14:22.014798 : Epoch  7, Batch   2272, Loss  0.843567, Average Loss  0.868503, Time  0.369240
2021-09-09 22:14:23.746798 : Epoch  1, Batch    580, Loss  0.643357, Average Loss  0.641312, Time  0.261709
2021-09-09 22:14:23.780755 : Epoch  7, Batch   2273, Loss  0.841308, Average Loss  0.868398, Time  0.357796
2021-09-09 22:14:25.566940 : Epoch  7, Batch   2274, Loss  0.864328, Average Loss  0.868477, Time  0.376784
2021-09-09 22:14:25.682798 : Epoch  1, Batch    581, Loss  0.640706, Average Loss  0.641295, Time  0.319710
2021-09-09 22:14:27.348234 : Epoch  7, Batch   2275, Loss  0.852353, Average Loss  0.868262, Time  0.364118
2021-09-09 22:14:27.559080 : Epoch  1, Batch    582, Loss  0.639406, Average Loss  0.641296, Time  0.259460
2021-09-09 22:14:29.146292 : Epoch  7, Batch   2276, Loss  0.876792, Average Loss  0.868362, Time  0.376702
2021-09-09 22:14:29.449091 : Epoch  1, Batch    583, Loss  0.640575, Average Loss  0.641254, Time  0.258497
2021-09-09 22:14:30.921797 : Epoch  7, Batch   2277, Loss  0.880626, Average Loss  0.868481, Time  0.368251
2021-09-09 22:14:31.327108 : Epoch  1, Batch    584, Loss  0.645013, Average Loss  0.641246, Time  0.260388
2021-09-09 22:14:32.725848 : Epoch  7, Batch   2278, Loss  0.846411, Average Loss  0.868422, Time  0.390383
2021-09-09 22:14:33.194089 : Epoch  1, Batch    585, Loss  0.638711, Average Loss  0.641190, Time  0.259025
2021-09-09 22:14:34.549849 : Epoch  7, Batch   2279, Loss  0.874999, Average Loss  0.868371, Time  0.360416
2021-09-09 22:14:35.095089 : Epoch  1, Batch    586, Loss  0.641124, Average Loss  0.641139, Time  0.261120
2021-09-09 22:14:36.375090 : Epoch  7, Batch   2280, Loss  0.879220, Average Loss  0.868337, Time  0.385670
2021-09-09 22:14:36.981930 : Epoch  1, Batch    587, Loss  0.640738, Average Loss  0.641155, Time  0.259947
2021-09-09 22:14:38.173355 : Epoch  7, Batch   2281, Loss  0.876594, Average Loss  0.868219, Time  0.366799
2021-09-09 22:14:38.904043 : Epoch  1, Batch    588, Loss  0.646932, Average Loss  0.641153, Time  0.258015
2021-09-09 22:14:39.996998 : Epoch  7, Batch   2282, Loss  0.882301, Average Loss  0.868387, Time  0.373979
2021-09-09 22:14:40.789074 : Epoch  1, Batch    589, Loss  0.648955, Average Loss  0.641175, Time  0.257848
2021-09-09 22:14:41.807128 : Epoch  7, Batch   2283, Loss  0.876408, Average Loss  0.868364, Time  0.366329
2021-09-09 22:14:42.704792 : Epoch  1, Batch    590, Loss  0.636725, Average Loss  0.641097, Time  0.260012
2021-09-09 22:14:43.608863 : Epoch  7, Batch   2284, Loss  0.865750, Average Loss  0.868087, Time  0.359118
2021-09-09 22:14:44.601406 : Epoch  1, Batch    591, Loss  0.640640, Average Loss  0.641116, Time  0.258987
2021-09-09 22:14:45.390980 : Epoch  7, Batch   2285, Loss  0.871671, Average Loss  0.868126, Time  0.356902
2021-09-09 22:14:46.490935 : Epoch  1, Batch    592, Loss  0.636630, Average Loss  0.641055, Time  0.258796
2021-09-09 22:14:47.190784 : Epoch  7, Batch   2286, Loss  0.850296, Average Loss  0.867994, Time  0.367087
2021-09-09 22:14:48.387798 : Epoch  1, Batch    593, Loss  0.646917, Average Loss  0.641030, Time  0.268517
2021-09-09 22:14:49.016782 : Epoch  7, Batch   2287, Loss  0.859419, Average Loss  0.868117, Time  0.358351
2021-09-09 22:14:50.283803 : Epoch  1, Batch    594, Loss  0.647680, Average Loss  0.641075, Time  0.258968
2021-09-09 22:14:50.828827 : Epoch  7, Batch   2288, Loss  0.861833, Average Loss  0.868059, Time  0.362153
2021-09-09 22:14:52.167091 : Epoch  1, Batch    595, Loss  0.643399, Average Loss  0.641117, Time  0.261438
2021-09-09 22:14:52.636816 : Epoch  7, Batch   2289, Loss  0.847973, Average Loss  0.867966, Time  0.357584
2021-09-09 22:14:54.026664 : Epoch  1, Batch    596, Loss  0.639935, Average Loss  0.641114, Time  0.259000
2021-09-09 22:14:54.418816 : Epoch  7, Batch   2290, Loss  0.865478, Average Loss  0.867944, Time  0.365795
2021-09-09 22:14:55.908242 : Epoch  1, Batch    597, Loss  0.641755, Average Loss  0.641111, Time  0.262419
2021-09-09 22:14:56.166261 : Epoch  7, Batch   2291, Loss  0.911073, Average Loss  0.868198, Time  0.356522
2021-09-09 22:14:57.784122 : Epoch  1, Batch    598, Loss  0.630771, Average Loss  0.641063, Time  0.266287
2021-09-09 22:14:57.976775 : Epoch  7, Batch   2292, Loss  0.849664, Average Loss  0.867874, Time  0.378880
2021-09-09 22:14:59.659827 : Epoch  1, Batch    599, Loss  0.639214, Average Loss  0.641028, Time  0.261801
2021-09-09 22:14:59.758800 : Epoch  7, Batch   2293, Loss  0.885082, Average Loss  0.867971, Time  0.358496
2021-09-09 22:15:01.547403 : Epoch  1, Batch    600, Loss  0.638601, Average Loss  0.641047, Time  0.261894
2021-09-09 22:15:01.592190 : Epoch  7, Batch   2294, Loss  0.890435, Average Loss  0.868249, Time  0.371809
2021-09-09 22:15:03.388771 : Epoch  7, Batch   2295, Loss  0.855777, Average Loss  0.868270, Time  0.360762
2021-09-09 22:15:05.194871 : Epoch  7, Batch   2296, Loss  0.845314, Average Loss  0.868214, Time  0.359847
2021-09-09 22:15:06.989769 : Epoch  7, Batch   2297, Loss  0.866873, Average Loss  0.868218, Time  0.358798
2021-09-09 22:15:08.791234 : Epoch  7, Batch   2298, Loss  0.893088, Average Loss  0.868320, Time  0.375079
2021-09-09 22:15:10.569786 : Epoch  7, Batch   2299, Loss  0.861177, Average Loss  0.868407, Time  0.361375
2021-09-09 22:15:12.361017 : Epoch  7, Batch   2300, Loss  0.904035, Average Loss  0.868691, Time  0.371072
2021-09-09 22:15:14.154868 : Epoch  7, Batch   2301, Loss  0.869326, Average Loss  0.868703, Time  0.358997
2021-09-09 22:15:15.952779 : Epoch  7, Batch   2302, Loss  0.861537, Average Loss  0.868747, Time  0.367375
2021-09-09 22:15:17.726823 : Epoch  7, Batch   2303, Loss  0.867834, Average Loss  0.868782, Time  0.364758
2021-09-09 22:15:19.529818 : Epoch  7, Batch   2304, Loss  0.872430, Average Loss  0.868969, Time  0.372556
2021-09-09 22:15:21.349793 : Epoch  7, Batch   2305, Loss  0.863204, Average Loss  0.868853, Time  0.362128
2021-09-09 22:15:23.154307 : Epoch  7, Batch   2306, Loss  0.884870, Average Loss  0.868978, Time  0.367435
2021-09-09 22:15:24.928340 : Epoch  7, Batch   2307, Loss  0.869472, Average Loss  0.868915, Time  0.360130
2021-09-09 22:15:26.727402 : Epoch  7, Batch   2308, Loss  0.888579, Average Loss  0.868940, Time  0.385426
2021-09-09 22:15:28.504850 : Epoch  7, Batch   2309, Loss  0.871114, Average Loss  0.868880, Time  0.367934
2021-09-09 22:15:30.305034 : Epoch  7, Batch   2310, Loss  0.846708, Average Loss  0.868815, Time  0.374654
2021-09-09 22:15:32.140120 : Epoch  7, Batch   2311, Loss  0.877476, Average Loss  0.868943, Time  0.403957
2021-09-09 22:15:33.979295 : Epoch  7, Batch   2312, Loss  0.879333, Average Loss  0.868950, Time  0.407905
2021-09-09 22:15:35.762779 : Epoch  7, Batch   2313, Loss  0.883126, Average Loss  0.868969, Time  0.360409
2021-09-09 22:15:37.586246 : Epoch  7, Batch   2314, Loss  0.877711, Average Loss  0.868990, Time  0.377973
2021-09-09 22:15:39.358373 : Epoch  7, Batch   2315, Loss  0.886933, Average Loss  0.868927, Time  0.358398
2021-09-09 22:15:41.145154 : Epoch  7, Batch   2316, Loss  0.879094, Average Loss  0.868976, Time  0.370521
2021-09-09 22:15:42.931290 : Epoch  7, Batch   2317, Loss  0.853777, Average Loss  0.868914, Time  0.362592
2021-09-09 22:15:44.715848 : Epoch  7, Batch   2318, Loss  0.840752, Average Loss  0.868872, Time  0.374134
2021-09-09 22:15:46.570949 : Epoch  7, Batch   2319, Loss  0.884253, Average Loss  0.868991, Time  0.360293
2021-09-09 22:15:48.344544 : Epoch  7, Batch   2320, Loss  0.878976, Average Loss  0.868947, Time  0.362291
2021-09-09 22:15:50.146997 : Epoch  7, Batch   2321, Loss  0.884511, Average Loss  0.869110, Time  0.360605
2021-09-09 22:15:51.952205 : Epoch  7, Batch   2322, Loss  0.873112, Average Loss  0.869178, Time  0.372383
2021-09-09 22:15:53.719200 : Epoch  7, Batch   2323, Loss  0.861462, Average Loss  0.869059, Time  0.357234
2021-09-09 22:15:55.530122 : Epoch  7, Batch   2324, Loss  0.851482, Average Loss  0.868814, Time  0.380353
2021-09-09 22:15:57.328214 : Epoch  7, Batch   2325, Loss  0.863918, Average Loss  0.868882, Time  0.359293
2021-09-09 22:15:59.113123 : Epoch  7, Batch   2326, Loss  0.870273, Average Loss  0.868956, Time  0.365142
2021-09-09 22:16:00.945044 : Epoch  7, Batch   2327, Loss  0.884612, Average Loss  0.869067, Time  0.361509
2021-09-09 22:16:02.731146 : Epoch  7, Batch   2328, Loss  0.872793, Average Loss  0.869136, Time  0.374936
2021-09-09 22:16:04.529953 : Epoch  7, Batch   2329, Loss  0.906362, Average Loss  0.869327, Time  0.370192
2021-09-09 22:16:06.312960 : Epoch  7, Batch   2330, Loss  0.849650, Average Loss  0.869204, Time  0.373225
2021-09-09 22:16:08.095805 : Epoch  7, Batch   2331, Loss  0.862224, Average Loss  0.869043, Time  0.366371
2021-09-09 22:16:09.895468 : Epoch  7, Batch   2332, Loss  0.888235, Average Loss  0.869241, Time  0.380075
2021-09-09 22:16:11.298761 : CheckPoint: Validation Loss  0.00026533, Best Loss  0.00026533
2021-09-09 22:16:11.393620 : Best Model Updated
2021-09-09 22:16:11.663142 : Epoch  7, Batch   2333, Loss  0.855027, Average Loss  0.869208, Time  0.359061
2021-09-09 22:16:13.504219 : Epoch  7, Batch   2334, Loss  0.873129, Average Loss  0.869204, Time  0.368860
2021-09-09 22:16:14.147165 : Epoch  1, Batch    601, Loss  0.642500, Average Loss  0.641107, Time  0.269272
2021-09-09 22:16:16.083654 : Epoch  1, Batch    602, Loss  0.631331, Average Loss  0.640966, Time  0.266514
2021-09-09 22:16:17.990866 : Epoch  1, Batch    603, Loss  0.644154, Average Loss  0.640920, Time  0.261381
2021-09-09 22:16:19.891116 : Epoch  1, Batch    604, Loss  0.637726, Average Loss  0.640891, Time  0.260930
2021-09-09 22:16:21.793081 : Epoch  1, Batch    605, Loss  0.643823, Average Loss  0.640908, Time  0.261466
2021-09-09 22:16:23.693068 : Epoch  1, Batch    606, Loss  0.642063, Average Loss  0.640917, Time  0.262442
2021-09-09 22:16:25.575802 : Epoch  1, Batch    607, Loss  0.639501, Average Loss  0.640931, Time  0.262370
2021-09-09 22:16:27.491072 : Epoch  1, Batch    608, Loss  0.637756, Average Loss  0.640955, Time  0.266723
2021-09-09 22:16:29.393887 : Epoch  1, Batch    609, Loss  0.630280, Average Loss  0.640909, Time  0.261909
2021-09-09 22:16:31.304909 : Epoch  1, Batch    610, Loss  0.633026, Average Loss  0.640832, Time  0.261142
2021-09-09 22:16:33.239766 : Epoch  1, Batch    611, Loss  0.647389, Average Loss  0.640881, Time  0.266516
2021-09-09 22:16:35.155882 : Epoch  1, Batch    612, Loss  0.629960, Average Loss  0.640846, Time  0.263023
2021-09-09 22:16:37.034828 : Epoch  1, Batch    613, Loss  0.637037, Average Loss  0.640800, Time  0.262007
2021-09-09 22:16:38.916995 : Epoch  1, Batch    614, Loss  0.638594, Average Loss  0.640819, Time  0.264418
2021-09-09 22:16:40.820785 : Epoch  1, Batch    615, Loss  0.641158, Average Loss  0.640816, Time  0.260196
2021-09-09 22:16:41.004864 : Epoch  1, Batch    616, Loss  0.609870, Average Loss  0.640666, Time  0.120100
2021-09-09 22:16:42.876092 : Epoch  1, Batch    617, Loss  0.644430, Average Loss  0.640694, Time  0.258031
2021-09-09 22:16:44.768776 : Epoch  1, Batch    618, Loss  0.642612, Average Loss  0.640693, Time  0.258558
2021-09-09 22:16:46.669111 : Epoch  1, Batch    619, Loss  0.649871, Average Loss  0.640696, Time  0.258228
2021-09-09 22:16:48.572803 : Epoch  1, Batch    620, Loss  0.646723, Average Loss  0.640750, Time  0.264610
2021-09-09 22:16:50.468973 : Epoch  1, Batch    621, Loss  0.634402, Average Loss  0.640704, Time  0.258140
2021-09-09 22:16:52.397079 : Epoch  1, Batch    622, Loss  0.639986, Average Loss  0.640647, Time  0.258446
2021-09-09 22:16:54.303782 : Epoch  1, Batch    623, Loss  0.652372, Average Loss  0.640650, Time  0.258242
2021-09-09 22:16:56.199863 : Epoch  1, Batch    624, Loss  0.641116, Average Loss  0.640683, Time  0.258781
2021-09-09 22:16:58.079847 : Epoch  1, Batch    625, Loss  0.647786, Average Loss  0.640734, Time  0.258160
2021-09-09 22:16:59.977928 : Epoch  1, Batch    626, Loss  0.630866, Average Loss  0.640684, Time  0.262560
2021-09-09 22:17:01.868769 : Epoch  1, Batch    627, Loss  0.641552, Average Loss  0.640672, Time  0.258071
2021-09-09 22:17:03.768120 : Epoch  1, Batch    628, Loss  0.644561, Average Loss  0.640713, Time  0.258790
2021-09-09 22:17:05.661797 : Epoch  1, Batch    629, Loss  0.637433, Average Loss  0.640723, Time  0.258884
2021-09-09 22:17:07.552844 : Epoch  1, Batch    630, Loss  0.644698, Average Loss  0.640721, Time  0.261322
2021-09-09 22:17:09.449108 : Epoch  1, Batch    631, Loss  0.646244, Average Loss  0.640778, Time  0.262219
2021-09-09 22:17:11.340131 : Epoch  1, Batch    632, Loss  0.640065, Average Loss  0.640778, Time  0.258788
2021-09-09 22:17:13.241937 : Epoch  1, Batch    633, Loss  0.644728, Average Loss  0.640738, Time  0.260632
2021-09-09 22:17:15.130258 : Epoch  1, Batch    634, Loss  0.643453, Average Loss  0.640697, Time  0.258240
2021-09-09 22:17:17.022415 : Epoch  1, Batch    635, Loss  0.643898, Average Loss  0.640674, Time  0.264358
2021-09-09 22:17:18.958967 : Epoch  1, Batch    636, Loss  0.635297, Average Loss  0.640602, Time  0.258473
2021-09-09 22:17:20.874863 : Epoch  1, Batch    637, Loss  0.635773, Average Loss  0.640532, Time  0.257795
2021-09-09 22:17:22.756891 : Epoch  1, Batch    638, Loss  0.644441, Average Loss  0.640539, Time  0.257595
2021-09-09 22:17:24.645987 : Epoch  1, Batch    639, Loss  0.641282, Average Loss  0.640522, Time  0.261822
2021-09-09 22:17:26.539995 : Epoch  1, Batch    640, Loss  0.633863, Average Loss  0.640489, Time  0.267499
2021-09-09 22:17:28.426087 : Epoch  1, Batch    641, Loss  0.643919, Average Loss  0.640514, Time  0.263999
2021-09-09 22:17:30.325024 : Epoch  1, Batch    642, Loss  0.636298, Average Loss  0.640500, Time  0.260109
2021-09-09 22:17:32.228865 : Epoch  1, Batch    643, Loss  0.642890, Average Loss  0.640487, Time  0.258261
2021-09-09 22:17:34.110889 : Epoch  1, Batch    644, Loss  0.642113, Average Loss  0.640501, Time  0.258775
2021-09-09 22:17:36.002374 : Epoch  1, Batch    645, Loss  0.640017, Average Loss  0.640474, Time  0.258082
2021-09-09 22:17:37.889950 : Epoch  1, Batch    646, Loss  0.642615, Average Loss  0.640467, Time  0.261711
2021-09-09 22:17:39.784864 : Epoch  1, Batch    647, Loss  0.640857, Average Loss  0.640465, Time  0.261584
2021-09-09 22:17:41.679096 : Epoch  1, Batch    648, Loss  0.637327, Average Loss  0.640429, Time  0.258873
2021-09-09 22:17:43.571891 : Epoch  1, Batch    649, Loss  0.644317, Average Loss  0.640472, Time  0.264152
2021-09-09 22:17:45.470715 : Epoch  1, Batch    650, Loss  0.637604, Average Loss  0.640442, Time  0.261497
2021-09-09 22:17:47.354076 : Epoch  1, Batch    651, Loss  0.636197, Average Loss  0.640407, Time  0.258312
2021-09-09 22:17:49.257087 : Epoch  1, Batch    652, Loss  0.641296, Average Loss  0.640384, Time  0.258506
2021-09-09 22:17:51.173784 : Epoch  1, Batch    653, Loss  0.641363, Average Loss  0.640388, Time  0.269972
2021-09-09 22:17:53.119121 : Epoch  1, Batch    654, Loss  0.634829, Average Loss  0.640384, Time  0.258974
2021-09-09 22:17:55.032728 : Epoch  1, Batch    655, Loss  0.644155, Average Loss  0.640377, Time  0.261614
2021-09-09 22:17:56.933101 : Epoch  1, Batch    656, Loss  0.648318, Average Loss  0.640419, Time  0.268235
2021-09-09 22:17:58.817867 : Epoch  1, Batch    657, Loss  0.638020, Average Loss  0.640358, Time  0.261526
2021-09-09 22:18:00.711077 : Epoch  1, Batch    658, Loss  0.636076, Average Loss  0.640359, Time  0.258836
2021-09-09 22:18:02.604150 : Epoch  1, Batch    659, Loss  0.650439, Average Loss  0.640407, Time  0.260873
2021-09-09 22:18:04.509869 : Epoch  1, Batch    660, Loss  0.631578, Average Loss  0.640380, Time  0.258287
2021-09-09 22:18:06.413819 : Epoch  1, Batch    661, Loss  0.638515, Average Loss  0.640362, Time  0.260806
2021-09-09 22:18:08.309807 : Epoch  1, Batch    662, Loss  0.636966, Average Loss  0.640370, Time  0.258501
2021-09-09 22:18:10.214828 : Epoch  1, Batch    663, Loss  0.642453, Average Loss  0.640367, Time  0.264507
2021-09-09 22:18:12.100849 : Epoch  1, Batch    664, Loss  0.642314, Average Loss  0.640369, Time  0.267029
2021-09-09 22:18:14.008934 : Epoch  1, Batch    665, Loss  0.635822, Average Loss  0.640376, Time  0.262779
2021-09-09 22:18:15.885606 : Epoch  1, Batch    666, Loss  0.640244, Average Loss  0.640375, Time  0.259949
2021-09-09 22:18:17.774101 : Epoch  1, Batch    667, Loss  0.636503, Average Loss  0.640336, Time  0.260617
2021-09-09 22:18:19.660606 : Epoch  1, Batch    668, Loss  0.620516, Average Loss  0.640205, Time  0.259453
2021-09-09 22:18:21.544198 : Epoch  1, Batch    669, Loss  0.640123, Average Loss  0.640166, Time  0.258870
2021-09-09 22:18:23.418814 : Epoch  1, Batch    670, Loss  0.648104, Average Loss  0.640160, Time  0.258592
2021-09-09 22:18:25.316105 : Epoch  1, Batch    671, Loss  0.628625, Average Loss  0.640127, Time  0.258494
2021-09-09 22:18:29.320093 : Epoch  1, Batch    672, Loss  0.638707, Average Loss  0.640214, Time  0.272802
2021-09-09 22:18:31.220861 : Epoch  1, Batch    673, Loss  0.633804, Average Loss  0.640207, Time  0.258581
2021-09-09 22:18:33.135172 : Epoch  1, Batch    674, Loss  0.628614, Average Loss  0.640170, Time  0.258833
2021-09-09 22:18:35.038905 : Epoch  1, Batch    675, Loss  0.638193, Average Loss  0.640174, Time  0.262892
2021-09-09 22:18:37.029941 : Epoch  1, Batch    676, Loss  0.645261, Average Loss  0.640217, Time  0.260991
2021-09-09 22:18:38.936174 : Epoch  1, Batch    677, Loss  0.626251, Average Loss  0.640151, Time  0.262742
2021-09-09 22:18:40.837950 : Epoch  1, Batch    678, Loss  0.649423, Average Loss  0.640157, Time  0.270634
2021-09-09 22:18:42.745851 : Epoch  1, Batch    679, Loss  0.636138, Average Loss  0.640147, Time  0.263948
2021-09-09 22:18:44.653781 : Epoch  1, Batch    680, Loss  0.634335, Average Loss  0.640155, Time  0.259580
2021-09-09 22:18:46.571130 : Epoch  1, Batch    681, Loss  0.633135, Average Loss  0.640122, Time  0.261833
2021-09-09 22:18:48.463098 : Epoch  1, Batch    682, Loss  0.648025, Average Loss  0.640207, Time  0.263260
2021-09-09 22:18:50.393825 : Epoch  1, Batch    683, Loss  0.650848, Average Loss  0.640229, Time  0.266907
2021-09-09 22:18:52.286095 : Epoch  1, Batch    684, Loss  0.647909, Average Loss  0.640268, Time  0.262309
2021-09-09 22:18:54.209791 : Epoch  1, Batch    685, Loss  0.635398, Average Loss  0.640244, Time  0.258031
2021-09-09 22:18:56.105085 : Epoch  1, Batch    686, Loss  0.639220, Average Loss  0.640220, Time  0.265424
2021-09-09 22:18:57.983123 : Epoch  1, Batch    687, Loss  0.645823, Average Loss  0.640247, Time  0.258019
2021-09-09 22:18:59.893102 : Epoch  1, Batch    688, Loss  0.637238, Average Loss  0.640236, Time  0.258992
2021-09-09 22:19:01.763914 : Epoch  1, Batch    689, Loss  0.631338, Average Loss  0.640183, Time  0.262034
2021-09-09 22:19:03.650129 : Epoch  1, Batch    690, Loss  0.631365, Average Loss  0.640118, Time  0.261767
2021-09-09 22:19:05.529889 : Epoch  1, Batch    691, Loss  0.637360, Average Loss  0.640124, Time  0.258309
2021-09-09 22:19:07.417921 : Epoch  1, Batch    692, Loss  0.633144, Average Loss  0.640059, Time  0.258390
2021-09-09 22:19:09.310837 : Epoch  1, Batch    693, Loss  0.632187, Average Loss  0.640031, Time  0.261586
2021-09-09 22:19:11.189848 : Epoch  1, Batch    694, Loss  0.632659, Average Loss  0.639955, Time  0.261151
2021-09-09 22:19:13.088085 : Epoch  1, Batch    695, Loss  0.633125, Average Loss  0.639897, Time  0.264783
2021-09-09 22:19:14.969084 : Epoch  1, Batch    696, Loss  0.635523, Average Loss  0.639881, Time  0.261904
2021-09-09 22:19:16.858196 : Epoch  1, Batch    697, Loss  0.632957, Average Loss  0.639860, Time  0.262676
2021-09-09 22:19:18.744087 : Epoch  1, Batch    698, Loss  0.633805, Average Loss  0.639830, Time  0.258732
2021-09-09 22:19:20.637815 : Epoch  1, Batch    699, Loss  0.638746, Average Loss  0.639813, Time  0.258725
2021-09-09 22:19:22.528088 : Epoch  1, Batch    700, Loss  0.633805, Average Loss  0.639747, Time  0.257959
2021-09-09 22:20:32.437740 : CheckPoint: Validation Loss  0.00026382, Best Loss  0.00026382
2021-09-09 22:20:32.493614 : Best Model Updated
2021-09-09 22:20:35.177911 : Epoch  1, Batch    701, Loss  0.633174, Average Loss  0.639725, Time  0.270245
2021-09-09 22:20:37.073862 : Epoch  1, Batch    702, Loss  0.629689, Average Loss  0.639677, Time  0.258656
2021-09-09 22:20:38.946111 : Epoch  1, Batch    703, Loss  0.632221, Average Loss  0.639616, Time  0.258366
2021-09-09 22:20:40.817296 : Epoch  1, Batch    704, Loss  0.643423, Average Loss  0.639634, Time  0.260309
2021-09-09 22:20:42.686975 : Epoch  1, Batch    705, Loss  0.634119, Average Loss  0.639618, Time  0.261626
2021-09-09 22:20:44.569081 : Epoch  1, Batch    706, Loss  0.634690, Average Loss  0.639579, Time  0.268999
2021-09-09 22:20:46.449920 : Epoch  1, Batch    707, Loss  0.631747, Average Loss  0.639536, Time  0.258952
2021-09-09 22:20:48.327108 : Epoch  1, Batch    708, Loss  0.619752, Average Loss  0.639410, Time  0.261269
2021-09-09 22:20:50.229921 : Epoch  1, Batch    709, Loss  0.646815, Average Loss  0.639418, Time  0.263165
2021-09-09 22:20:52.120080 : Epoch  1, Batch    710, Loss  0.638586, Average Loss  0.639442, Time  0.259341
2021-09-09 22:20:53.994804 : Epoch  1, Batch    711, Loss  0.632627, Average Loss  0.639424, Time  0.258198
2021-09-09 22:20:55.881951 : Epoch  1, Batch    712, Loss  0.634962, Average Loss  0.639418, Time  0.258445
2021-09-09 22:20:57.778091 : Epoch  1, Batch    713, Loss  0.630021, Average Loss  0.639395, Time  0.257967
2021-09-09 22:20:59.664860 : Epoch  1, Batch    714, Loss  0.633973, Average Loss  0.639365, Time  0.261169
2021-09-09 22:21:01.547845 : Epoch  1, Batch    715, Loss  0.641539, Average Loss  0.639385, Time  0.263209
2021-09-09 22:21:03.424700 : Epoch  1, Batch    716, Loss  0.638418, Average Loss  0.639374, Time  0.263892
2021-09-09 22:21:03.718722 : CheckPoint: Validation Loss  0.00059307, Best Loss  0.00056427
2021-09-09 22:21:05.306874 : Epoch  1, Batch    717, Loss  0.625584, Average Loss  0.639281, Time  0.262347
2021-09-09 22:21:05.581778 : Epoch  7, Batch   2335, Loss  0.878800, Average Loss  0.869248, Time  0.410748
2021-09-09 22:21:07.168859 : Epoch  1, Batch    718, Loss  0.644642, Average Loss  0.639331, Time  0.259598
2021-09-09 22:21:07.380774 : Epoch  7, Batch   2336, Loss  0.870811, Average Loss  0.869299, Time  0.357597
2021-09-09 22:21:09.058113 : Epoch  1, Batch    719, Loss  0.627882, Average Loss  0.639244, Time  0.262251
2021-09-09 22:21:09.209880 : Epoch  7, Batch   2337, Loss  0.899227, Average Loss  0.869366, Time  0.397871
2021-09-09 22:21:10.943135 : Epoch  1, Batch    720, Loss  0.639357, Average Loss  0.639261, Time  0.264077
2021-09-09 22:21:11.051941 : Epoch  7, Batch   2338, Loss  0.875719, Average Loss  0.869370, Time  0.415679
2021-09-09 22:21:12.816863 : Epoch  1, Batch    721, Loss  0.633486, Average Loss  0.639277, Time  0.262625
2021-09-09 22:21:12.856313 : Epoch  7, Batch   2339, Loss  0.879033, Average Loss  0.869525, Time  0.368647
2021-09-09 22:21:14.641697 : Epoch  7, Batch   2340, Loss  0.870605, Average Loss  0.869502, Time  0.368346
2021-09-09 22:21:14.768839 : Epoch  1, Batch    722, Loss  0.633086, Average Loss  0.639229, Time  0.268235
2021-09-09 22:21:16.440922 : Epoch  7, Batch   2341, Loss  0.896454, Average Loss  0.869542, Time  0.370564
2021-09-09 22:21:16.654885 : Epoch  1, Batch    723, Loss  0.634499, Average Loss  0.639177, Time  0.261959
2021-09-09 22:21:18.227773 : Epoch  7, Batch   2342, Loss  0.839540, Average Loss  0.869427, Time  0.358333
2021-09-09 22:21:18.535029 : Epoch  1, Batch    724, Loss  0.627397, Average Loss  0.639115, Time  0.258860
2021-09-09 22:21:20.025726 : Epoch  7, Batch   2343, Loss  0.856104, Average Loss  0.869294, Time  0.374648
2021-09-09 22:21:20.400087 : Epoch  1, Batch    725, Loss  0.636586, Average Loss  0.639156, Time  0.260232
2021-09-09 22:21:21.832768 : Epoch  7, Batch   2344, Loss  0.844089, Average Loss  0.869131, Time  0.369676
2021-09-09 22:21:22.295868 : Epoch  1, Batch    726, Loss  0.633195, Average Loss  0.639046, Time  0.279587
2021-09-09 22:21:23.655933 : Epoch  7, Batch   2345, Loss  0.843193, Average Loss  0.868985, Time  0.364216
2021-09-09 22:21:24.166841 : Epoch  1, Batch    727, Loss  0.631087, Average Loss  0.638993, Time  0.259753
2021-09-09 22:21:25.479117 : Epoch  7, Batch   2346, Loss  0.848498, Average Loss  0.868853, Time  0.382122
2021-09-09 22:21:26.032842 : Epoch  1, Batch    728, Loss  0.638230, Average Loss  0.638968, Time  0.259155
2021-09-09 22:21:27.261748 : Epoch  7, Batch   2347, Loss  0.873236, Average Loss  0.868842, Time  0.371670
2021-09-09 22:21:27.926843 : Epoch  1, Batch    729, Loss  0.637048, Average Loss  0.638921, Time  0.267139
2021-09-09 22:21:29.042780 : Epoch  7, Batch   2348, Loss  0.829094, Average Loss  0.868703, Time  0.358560
2021-09-09 22:21:29.816081 : Epoch  1, Batch    730, Loss  0.635637, Average Loss  0.638865, Time  0.258025
2021-09-09 22:21:30.847885 : Epoch  7, Batch   2349, Loss  0.878313, Average Loss  0.868850, Time  0.369107
2021-09-09 22:21:31.695768 : Epoch  1, Batch    731, Loss  0.631186, Average Loss  0.638852, Time  0.261437
2021-09-09 22:21:32.656774 : Epoch  7, Batch   2350, Loss  0.843440, Average Loss  0.868746, Time  0.368830
2021-09-09 22:21:33.585825 : Epoch  1, Batch    732, Loss  0.630942, Average Loss  0.638792, Time  0.261412
2021-09-09 22:21:34.447319 : Epoch  7, Batch   2351, Loss  0.859036, Average Loss  0.868615, Time  0.372336
2021-09-09 22:21:35.463915 : Epoch  1, Batch    733, Loss  0.635181, Average Loss  0.638779, Time  0.258018
2021-09-09 22:21:36.261072 : Epoch  7, Batch   2352, Loss  0.848107, Average Loss  0.868589, Time  0.357510
2021-09-09 22:21:37.360612 : Epoch  1, Batch    734, Loss  0.632283, Average Loss  0.638728, Time  0.261397
2021-09-09 22:21:38.057769 : Epoch  7, Batch   2353, Loss  0.874255, Average Loss  0.868506, Time  0.365337
2021-09-09 22:21:39.264775 : Epoch  1, Batch    735, Loss  0.626963, Average Loss  0.638674, Time  0.261495
2021-09-09 22:21:39.852791 : Epoch  7, Batch   2354, Loss  0.880913, Average Loss  0.868860, Time  0.356891
2021-09-09 22:21:41.162120 : Epoch  1, Batch    736, Loss  0.631596, Average Loss  0.638642, Time  0.261745
2021-09-09 22:21:41.673786 : Epoch  7, Batch   2355, Loss  0.862619, Average Loss  0.868913, Time  0.367295
2021-09-09 22:21:43.039787 : Epoch  1, Batch    737, Loss  0.640605, Average Loss  0.638660, Time  0.261777
2021-09-09 22:21:43.473128 : Epoch  7, Batch   2356, Loss  0.860323, Average Loss  0.868844, Time  0.359002
2021-09-09 22:21:44.917015 : Epoch  1, Batch    738, Loss  0.636306, Average Loss  0.638674, Time  0.260493
2021-09-09 22:21:45.281196 : Epoch  7, Batch   2357, Loss  0.880953, Average Loss  0.868871, Time  0.365924
2021-09-09 22:21:46.821801 : Epoch  1, Batch    739, Loss  0.639100, Average Loss  0.638672, Time  0.262183
2021-09-09 22:21:47.053140 : Epoch  7, Batch   2358, Loss  0.855135, Average Loss  0.868664, Time  0.357454
2021-09-09 22:21:48.699781 : Epoch  1, Batch    740, Loss  0.639343, Average Loss  0.638623, Time  0.265243
2021-09-09 22:21:48.855779 : Epoch  7, Batch   2359, Loss  0.886896, Average Loss  0.868729, Time  0.371951
2021-09-09 22:21:50.566815 : Epoch  1, Batch    741, Loss  0.626284, Average Loss  0.638589, Time  0.259267
2021-09-09 22:21:50.657881 : Epoch  7, Batch   2360, Loss  0.856299, Average Loss  0.868639, Time  0.359083
2021-09-09 22:21:52.435808 : Epoch  1, Batch    742, Loss  0.639029, Average Loss  0.638609, Time  0.264692
2021-09-09 22:21:52.479824 : Epoch  7, Batch   2361, Loss  0.825162, Average Loss  0.868496, Time  0.368734
2021-09-09 22:21:54.282767 : Epoch  7, Batch   2362, Loss  0.883170, Average Loss  0.868569, Time  0.358201
2021-09-09 22:21:54.328184 : Epoch  1, Batch    743, Loss  0.630787, Average Loss  0.638557, Time  0.258584
2021-09-09 22:21:56.133229 : Epoch  7, Batch   2363, Loss  0.888043, Average Loss  0.868721, Time  0.364861
2021-09-09 22:21:56.231138 : Epoch  1, Batch    744, Loss  0.626395, Average Loss  0.638493, Time  0.295745
2021-09-09 22:21:57.923782 : Epoch  7, Batch   2364, Loss  0.889503, Average Loss  0.868828, Time  0.358378
2021-09-09 22:21:58.114873 : Epoch  1, Batch    745, Loss  0.633896, Average Loss  0.638451, Time  0.258702
2021-09-09 22:21:59.721159 : Epoch  7, Batch   2365, Loss  0.853125, Average Loss  0.868832, Time  0.373569
2021-09-09 22:22:00.011890 : Epoch  1, Batch    746, Loss  0.630085, Average Loss  0.638368, Time  0.263000
2021-09-09 22:22:01.516800 : Epoch  7, Batch   2366, Loss  0.857579, Average Loss  0.868812, Time  0.368953
2021-09-09 22:22:01.914842 : Epoch  1, Batch    747, Loss  0.629920, Average Loss  0.638309, Time  0.261551
2021-09-09 22:22:03.287124 : Epoch  7, Batch   2367, Loss  0.858460, Average Loss  0.868828, Time  0.366255
2021-09-09 22:22:03.810778 : Epoch  1, Batch    748, Loss  0.637281, Average Loss  0.638283, Time  0.267049
2021-09-09 22:22:05.071768 : Epoch  7, Batch   2368, Loss  0.863621, Average Loss  0.868758, Time  0.360301
2021-09-09 22:22:05.702834 : Epoch  1, Batch    749, Loss  0.630779, Average Loss  0.638263, Time  0.258190
2021-09-09 22:22:06.880025 : Epoch  7, Batch   2369, Loss  0.881579, Average Loss  0.868820, Time  0.365986
2021-09-09 22:22:07.578129 : Epoch  1, Batch    750, Loss  0.618547, Average Loss  0.638144, Time  0.262668
2021-09-09 22:22:08.660202 : Epoch  7, Batch   2370, Loss  0.851138, Average Loss  0.868573, Time  0.359875
2021-09-09 22:22:09.457137 : Epoch  1, Batch    751, Loss  0.625537, Average Loss  0.638044, Time  0.258806
2021-09-09 22:22:10.474371 : Epoch  7, Batch   2371, Loss  0.889571, Average Loss  0.868633, Time  0.375153
2021-09-09 22:22:11.337894 : Epoch  1, Batch    752, Loss  0.630341, Average Loss  0.637972, Time  0.260268
2021-09-09 22:22:12.263782 : Epoch  7, Batch   2372, Loss  0.845481, Average Loss  0.868753, Time  0.358398
2021-09-09 22:22:13.224775 : Epoch  1, Batch    753, Loss  0.634742, Average Loss  0.637947, Time  0.258575
2021-09-09 22:22:14.077198 : Epoch  7, Batch   2373, Loss  0.875432, Average Loss  0.868737, Time  0.365841
2021-09-09 22:22:15.119089 : Epoch  1, Batch    754, Loss  0.629225, Average Loss  0.637858, Time  0.258192
2021-09-09 22:22:15.864791 : Epoch  7, Batch   2374, Loss  0.882111, Average Loss  0.868773, Time  0.376130
2021-09-09 22:22:16.996412 : Epoch  1, Batch    755, Loss  0.631281, Average Loss  0.637817, Time  0.258950
2021-09-09 22:22:17.674777 : Epoch  7, Batch   2375, Loss  0.864642, Average Loss  0.868764, Time  0.373619
2021-09-09 22:22:18.865095 : Epoch  1, Batch    756, Loss  0.634132, Average Loss  0.637805, Time  0.260242
2021-09-09 22:22:19.473822 : Epoch  7, Batch   2376, Loss  0.875364, Average Loss  0.868696, Time  0.361060
2021-09-09 22:22:20.754852 : Epoch  1, Batch    757, Loss  0.625157, Average Loss  0.637703, Time  0.258227
2021-09-09 22:22:21.273111 : Epoch  7, Batch   2377, Loss  0.886963, Average Loss  0.868825, Time  0.364362
2021-09-09 22:22:22.642857 : Epoch  1, Batch    758, Loss  0.637986, Average Loss  0.637765, Time  0.261078
2021-09-09 22:22:23.050923 : Epoch  7, Batch   2378, Loss  0.861910, Average Loss  0.868827, Time  0.357744
2021-09-09 22:22:24.546184 : Epoch  1, Batch    759, Loss  0.632708, Average Loss  0.637757, Time  0.260761
2021-09-09 22:22:24.834866 : Epoch  7, Batch   2379, Loss  0.884326, Average Loss  0.868802, Time  0.381000
2021-09-09 22:22:26.424109 : Epoch  1, Batch    760, Loss  0.620541, Average Loss  0.637662, Time  0.264272
2021-09-09 22:22:26.615159 : Epoch  7, Batch   2380, Loss  0.862451, Average Loss  0.868727, Time  0.358271
2021-09-09 22:22:28.334765 : Epoch  1, Batch    761, Loss  0.641367, Average Loss  0.637698, Time  0.258409
2021-09-09 22:22:28.456912 : Epoch  7, Batch   2381, Loss  0.840755, Average Loss  0.868520, Time  0.376263
2021-09-09 22:22:30.229088 : Epoch  1, Batch    762, Loss  0.625674, Average Loss  0.637630, Time  0.261759
2021-09-09 22:22:30.275026 : Epoch  7, Batch   2382, Loss  0.904631, Average Loss  0.868761, Time  0.366311
2021-09-09 22:22:32.078771 : Epoch  7, Batch   2383, Loss  0.849734, Average Loss  0.868884, Time  0.376630
2021-09-09 22:22:32.120066 : Epoch  1, Batch    763, Loss  0.620230, Average Loss  0.637552, Time  0.263874
2021-09-09 22:22:33.889466 : Epoch  7, Batch   2384, Loss  0.859286, Average Loss  0.868945, Time  0.367789
2021-09-09 22:22:34.010094 : Epoch  1, Batch    764, Loss  0.623092, Average Loss  0.637470, Time  0.269121
2021-09-09 22:22:35.678280 : Epoch  7, Batch   2385, Loss  0.871789, Average Loss  0.869078, Time  0.363400
2021-09-09 22:22:35.889107 : Epoch  1, Batch    765, Loss  0.625235, Average Loss  0.637366, Time  0.259186
2021-09-09 22:22:37.499266 : Epoch  7, Batch   2386, Loss  0.862513, Average Loss  0.869119, Time  0.375935
2021-09-09 22:22:37.782071 : Epoch  1, Batch    766, Loss  0.629152, Average Loss  0.637268, Time  0.258130
2021-09-09 22:22:39.295232 : Epoch  7, Batch   2387, Loss  0.872197, Average Loss  0.869245, Time  0.366395
2021-09-09 22:22:39.661826 : Epoch  1, Batch    767, Loss  0.631978, Average Loss  0.637219, Time  0.261657
2021-09-09 22:22:41.074926 : Epoch  7, Batch   2388, Loss  0.880352, Average Loss  0.869332, Time  0.359251
2021-09-09 22:22:41.524869 : Epoch  1, Batch    768, Loss  0.619585, Average Loss  0.637099, Time  0.258392
2021-09-09 22:22:42.876907 : Epoch  7, Batch   2389, Loss  0.853363, Average Loss  0.869241, Time  0.369696
2021-09-09 22:22:43.407842 : Epoch  1, Batch    769, Loss  0.633545, Average Loss  0.637054, Time  0.265927
2021-09-09 22:22:44.657766 : Epoch  7, Batch   2390, Loss  0.893130, Average Loss  0.869408, Time  0.359311
2021-09-09 22:22:45.285074 : Epoch  1, Batch    770, Loss  0.617829, Average Loss  0.636921, Time  0.261047
2021-09-09 22:22:46.481652 : Epoch  7, Batch   2391, Loss  0.868403, Average Loss  0.869374, Time  0.370653
2021-09-09 22:22:48.282005 : Epoch  7, Batch   2392, Loss  0.847320, Average Loss  0.869350, Time  0.362108
2021-09-09 22:22:49.272631 : Epoch  1, Batch    771, Loss  0.634279, Average Loss  0.636920, Time  0.271465
2021-09-09 22:22:50.083139 : Epoch  7, Batch   2393, Loss  0.873141, Average Loss  0.869203, Time  0.368519
2021-09-09 22:22:51.128712 : Epoch  1, Batch    772, Loss  0.619239, Average Loss  0.636783, Time  0.258206
2021-09-09 22:22:51.872149 : Epoch  7, Batch   2394, Loss  0.895784, Average Loss  0.869196, Time  0.365225
2021-09-09 22:22:52.998881 : Epoch  1, Batch    773, Loss  0.625222, Average Loss  0.636688, Time  0.262317
2021-09-09 22:22:53.662957 : Epoch  7, Batch   2395, Loss  0.852474, Average Loss  0.869025, Time  0.367972
2021-09-09 22:22:54.872121 : Epoch  1, Batch    774, Loss  0.621231, Average Loss  0.636602, Time  0.262211
2021-09-09 22:22:55.443828 : Epoch  7, Batch   2396, Loss  0.847319, Average Loss  0.869082, Time  0.359841
2021-09-09 22:22:56.756790 : Epoch  1, Batch    775, Loss  0.628247, Average Loss  0.636554, Time  0.259157
2021-09-09 22:22:57.252183 : Epoch  7, Batch   2397, Loss  0.893976, Average Loss  0.869392, Time  0.367388
2021-09-09 22:22:58.684102 : Epoch  1, Batch    776, Loss  0.636899, Average Loss  0.636509, Time  0.265266
2021-09-09 22:22:59.065764 : Epoch  7, Batch   2398, Loss  0.863402, Average Loss  0.869244, Time  0.359782
2021-09-09 22:23:00.586699 : Epoch  1, Batch    777, Loss  0.624773, Average Loss  0.636415, Time  0.258771
2021-09-09 22:23:00.865138 : Epoch  7, Batch   2399, Loss  0.866601, Average Loss  0.869191, Time  0.363274
2021-09-09 22:23:02.449921 : Epoch  1, Batch    778, Loss  0.621879, Average Loss  0.636321, Time  0.258284
2021-09-09 22:23:02.646982 : Epoch  7, Batch   2400, Loss  0.874212, Average Loss  0.869180, Time  0.372754
2021-09-09 22:23:04.323080 : Epoch  1, Batch    779, Loss  0.626697, Average Loss  0.636220, Time  0.258149
2021-09-09 22:23:04.426812 : Epoch  7, Batch   2401, Loss  0.832421, Average Loss  0.868886, Time  0.376108
2021-09-09 22:23:06.202776 : Epoch  1, Batch    780, Loss  0.613579, Average Loss  0.636071, Time  0.258975
2021-09-09 22:23:06.244078 : Epoch  7, Batch   2402, Loss  0.832968, Average Loss  0.868492, Time  0.359517
2021-09-09 22:23:08.039942 : Epoch  7, Batch   2403, Loss  0.837849, Average Loss  0.868363, Time  0.362983
2021-09-09 22:23:08.074821 : Epoch  1, Batch    781, Loss  0.626537, Average Loss  0.636000, Time  0.260690
2021-09-09 22:23:09.811873 : Epoch  7, Batch   2404, Loss  0.848926, Average Loss  0.868300, Time  0.359554
2021-09-09 22:23:09.966126 : Epoch  1, Batch    782, Loss  0.628432, Average Loss  0.635945, Time  0.261354
2021-09-09 22:23:11.610790 : Epoch  7, Batch   2405, Loss  0.869755, Average Loss  0.868319, Time  0.371133
2021-09-09 22:23:11.821875 : Epoch  1, Batch    783, Loss  0.624785, Average Loss  0.635866, Time  0.260366
2021-09-09 22:23:13.413778 : Epoch  7, Batch   2406, Loss  0.836513, Average Loss  0.868171, Time  0.358935
2021-09-09 22:23:13.705067 : Epoch  1, Batch    784, Loss  0.624732, Average Loss  0.635765, Time  0.264862
2021-09-09 22:23:15.236092 : Epoch  7, Batch   2407, Loss  0.861254, Average Loss  0.868253, Time  0.363197
2021-09-09 22:23:15.573614 : Epoch  1, Batch    785, Loss  0.631749, Average Loss  0.635730, Time  0.259047
2021-09-09 22:23:17.049786 : Epoch  7, Batch   2408, Loss  0.882110, Average Loss  0.868198, Time  0.358706
2021-09-09 22:23:17.439772 : Epoch  1, Batch    786, Loss  0.636430, Average Loss  0.635706, Time  0.264162
2021-09-09 22:23:18.841769 : Epoch  7, Batch   2409, Loss  0.841210, Average Loss  0.868067, Time  0.365584
2021-09-09 22:23:19.310194 : Epoch  1, Batch    787, Loss  0.635734, Average Loss  0.635681, Time  0.259135
2021-09-09 22:23:19.358626 : Saving Model after 1-th Epoch.
2021-09-09 22:23:20.406679 : Epoch Finished.
2021-09-09 22:23:20.638310 : Epoch  7, Batch   2410, Loss  0.861974, Average Loss  0.868072, Time  0.367305
2021-09-09 22:23:22.384668 : Batch Shuffled
2021-09-09 22:23:22.452912 : Epoch  7, Batch   2411, Loss  0.884006, Average Loss  0.868288, Time  0.374892
2021-09-09 22:23:24.248972 : Epoch  7, Batch   2412, Loss  0.874048, Average Loss  0.868193, Time  0.366982
2021-09-09 22:23:24.286302 : Epoch  2, Batch      1, Loss  0.625208, Average Loss  0.635573, Time  0.260587
2021-09-09 22:23:26.064178 : Epoch  7, Batch   2413, Loss  0.868817, Average Loss  0.868125, Time  0.359099
2021-09-09 22:23:26.207098 : Epoch  2, Batch      2, Loss  0.626267, Average Loss  0.635459, Time  0.272009
2021-09-09 22:23:27.843918 : Epoch  7, Batch   2414, Loss  0.871775, Average Loss  0.868033, Time  0.361479
2021-09-09 22:23:28.095164 : Epoch  2, Batch      3, Loss  0.614863, Average Loss  0.635350, Time  0.264947
2021-09-09 22:23:29.625512 : Epoch  7, Batch   2415, Loss  0.845154, Average Loss  0.868008, Time  0.371171
2021-09-09 22:23:29.969765 : Epoch  2, Batch      4, Loss  0.627397, Average Loss  0.635284, Time  0.262245
2021-09-09 22:23:31.394108 : Epoch  7, Batch   2416, Loss  0.883483, Average Loss  0.868220, Time  0.360144
2021-09-09 22:23:31.845895 : Epoch  2, Batch      5, Loss  0.621396, Average Loss  0.635208, Time  0.258393
2021-09-09 22:23:33.188152 : Epoch  7, Batch   2417, Loss  0.863646, Average Loss  0.868269, Time  0.378759
2021-09-09 22:23:33.724865 : Epoch  2, Batch      6, Loss  0.630933, Average Loss  0.635128, Time  0.258327
2021-09-09 22:23:34.994426 : Epoch  7, Batch   2418, Loss  0.838518, Average Loss  0.867962, Time  0.372749
2021-09-09 22:23:35.620779 : Epoch  2, Batch      7, Loss  0.631111, Average Loss  0.635045, Time  0.258115
2021-09-09 22:23:36.793774 : Epoch  7, Batch   2419, Loss  0.883583, Average Loss  0.868057, Time  0.368073
2021-09-09 22:23:37.527064 : Epoch  2, Batch      8, Loss  0.622262, Average Loss  0.634939, Time  0.257868
2021-09-09 22:23:38.602765 : Epoch  7, Batch   2420, Loss  0.842942, Average Loss  0.868036, Time  0.368168
2021-09-09 22:23:39.420485 : Epoch  2, Batch      9, Loss  0.629730, Average Loss  0.634888, Time  0.257672
2021-09-09 22:23:40.431261 : Epoch  7, Batch   2421, Loss  0.861127, Average Loss  0.867995, Time  0.379665
2021-09-09 22:23:41.330782 : Epoch  2, Batch     10, Loss  0.630159, Average Loss  0.634830, Time  0.258016
2021-09-09 22:23:42.236698 : Epoch  7, Batch   2422, Loss  0.884167, Average Loss  0.867935, Time  0.360260
2021-09-09 22:23:43.215049 : Epoch  2, Batch     11, Loss  0.621983, Average Loss  0.634786, Time  0.257881
2021-09-09 22:23:44.032030 : Epoch  7, Batch   2423, Loss  0.873847, Average Loss  0.867753, Time  0.367910
2021-09-09 22:23:45.119071 : Epoch  2, Batch     12, Loss  0.624165, Average Loss  0.634711, Time  0.262484
2021-09-09 22:23:45.839987 : Epoch  7, Batch   2424, Loss  0.865714, Average Loss  0.867817, Time  0.372866
2021-09-09 22:23:47.014094 : Epoch  2, Batch     13, Loss  0.623494, Average Loss  0.634635, Time  0.262094
2021-09-09 22:23:47.645627 : Epoch  7, Batch   2425, Loss  0.905158, Average Loss  0.868156, Time  0.368445
2021-09-09 22:23:49.431554 : Epoch  7, Batch   2426, Loss  0.863523, Average Loss  0.868132, Time  0.363245
2021-09-09 22:23:51.245633 : Epoch  7, Batch   2427, Loss  0.888810, Average Loss  0.868227, Time  0.368377
2021-09-09 22:23:53.028434 : Epoch  7, Batch   2428, Loss  0.854638, Average Loss  0.868174, Time  0.359190
2021-09-09 22:23:54.801785 : Epoch  7, Batch   2429, Loss  0.903734, Average Loss  0.868194, Time  0.368829
2021-09-09 22:23:56.596906 : Epoch  7, Batch   2430, Loss  0.835101, Average Loss  0.868006, Time  0.361347
2021-09-09 22:23:58.393777 : Epoch  7, Batch   2431, Loss  0.876474, Average Loss  0.868015, Time  0.372674
2021-09-09 22:24:00.196114 : Epoch  7, Batch   2432, Loss  0.890720, Average Loss  0.868016, Time  0.371391
2021-09-09 22:24:01.985885 : Epoch  7, Batch   2433, Loss  0.896816, Average Loss  0.868112, Time  0.370028
2021-09-09 22:24:03.773883 : Epoch  7, Batch   2434, Loss  0.910850, Average Loss  0.868579, Time  0.365511
2021-09-09 22:24:56.956746 : CheckPoint: Validation Loss  0.00026216, Best Loss  0.00026216
2021-09-09 22:24:57.006623 : Best Model Updated
2021-09-09 22:25:00.066908 : Epoch  2, Batch     14, Loss  0.616212, Average Loss  0.634504, Time  0.266858
2021-09-09 22:25:01.937897 : Epoch  2, Batch     15, Loss  0.619354, Average Loss  0.634444, Time  0.259178
2021-09-09 22:25:03.830801 : Epoch  2, Batch     16, Loss  0.623020, Average Loss  0.634338, Time  0.262745
2021-09-09 22:25:05.718770 : Epoch  2, Batch     17, Loss  0.626013, Average Loss  0.634280, Time  0.257894
2021-09-09 22:25:07.612918 : Epoch  2, Batch     18, Loss  0.638941, Average Loss  0.634256, Time  0.258104
2021-09-09 22:25:09.524919 : Epoch  2, Batch     19, Loss  0.621527, Average Loss  0.634153, Time  0.257919
2021-09-09 22:25:11.420792 : Epoch  2, Batch     20, Loss  0.639805, Average Loss  0.634154, Time  0.257807
2021-09-09 22:25:13.334890 : Epoch  2, Batch     21, Loss  0.613394, Average Loss  0.634033, Time  0.258149
2021-09-09 22:25:15.248753 : Epoch  2, Batch     22, Loss  0.632307, Average Loss  0.634043, Time  0.258338
2021-09-09 22:25:17.145089 : Epoch  2, Batch     23, Loss  0.625075, Average Loss  0.634003, Time  0.262317
2021-09-09 22:25:19.026779 : Epoch  2, Batch     24, Loss  0.609978, Average Loss  0.633816, Time  0.258090
2021-09-09 22:25:20.926935 : Epoch  2, Batch     25, Loss  0.626575, Average Loss  0.633799, Time  0.258417
2021-09-09 22:25:22.800793 : Epoch  2, Batch     26, Loss  0.631833, Average Loss  0.633773, Time  0.258491
2021-09-09 22:25:24.674770 : Epoch  2, Batch     27, Loss  0.634988, Average Loss  0.633755, Time  0.257947
2021-09-09 22:25:26.582871 : Epoch  2, Batch     28, Loss  0.624855, Average Loss  0.633673, Time  0.257922
2021-09-09 22:25:28.544828 : Epoch  2, Batch     29, Loss  0.621476, Average Loss  0.633731, Time  0.258010
2021-09-09 22:25:30.432817 : Epoch  2, Batch     30, Loss  0.631053, Average Loss  0.633665, Time  0.257958
2021-09-09 22:25:32.322845 : Epoch  2, Batch     31, Loss  0.633700, Average Loss  0.633620, Time  0.260259
2021-09-09 22:25:34.207833 : Epoch  2, Batch     32, Loss  0.630685, Average Loss  0.633524, Time  0.262214
2021-09-09 22:25:36.097838 : Epoch  2, Batch     33, Loss  0.629665, Average Loss  0.633439, Time  0.261030
2021-09-09 22:25:37.976580 : Epoch  2, Batch     34, Loss  0.625009, Average Loss  0.633392, Time  0.258141
2021-09-09 22:25:39.866877 : Epoch  2, Batch     35, Loss  0.617222, Average Loss  0.633278, Time  0.257899
2021-09-09 22:25:41.819835 : Epoch  2, Batch     36, Loss  0.626774, Average Loss  0.633150, Time  0.258393
2021-09-09 22:25:43.697916 : Epoch  2, Batch     37, Loss  0.618214, Average Loss  0.633035, Time  0.258315
2021-09-09 22:25:45.605861 : Epoch  2, Batch     38, Loss  0.625918, Average Loss  0.632926, Time  0.257769
2021-09-09 22:25:47.506870 : Epoch  2, Batch     39, Loss  0.626868, Average Loss  0.632906, Time  0.258492
2021-09-09 22:25:49.388841 : Epoch  2, Batch     40, Loss  0.621137, Average Loss  0.632804, Time  0.257810
2021-09-09 22:25:51.277935 : Epoch  2, Batch     41, Loss  0.626785, Average Loss  0.632715, Time  0.261089
2021-09-09 22:25:53.142083 : Epoch  2, Batch     42, Loss  0.630009, Average Loss  0.632678, Time  0.258502
2021-09-09 22:25:55.025841 : Epoch  2, Batch     43, Loss  0.635635, Average Loss  0.632633, Time  0.267473
2021-09-09 22:25:56.887715 : Epoch  2, Batch     44, Loss  0.634094, Average Loss  0.632572, Time  0.262700
2021-09-09 22:25:58.806778 : Epoch  2, Batch     45, Loss  0.608375, Average Loss  0.632414, Time  0.260369
2021-09-09 22:26:00.691850 : Epoch  2, Batch     46, Loss  0.628765, Average Loss  0.632334, Time  0.258731
2021-09-09 22:26:02.572807 : Epoch  2, Batch     47, Loss  0.618177, Average Loss  0.632207, Time  0.261360
2021-09-09 22:26:04.438930 : Epoch  2, Batch     48, Loss  0.615422, Average Loss  0.632065, Time  0.258661
2021-09-09 22:26:06.347097 : Epoch  2, Batch     49, Loss  0.614907, Average Loss  0.631963, Time  0.258171
2021-09-09 22:26:08.246783 : Epoch  2, Batch     50, Loss  0.607634, Average Loss  0.631822, Time  0.258624
2021-09-09 22:26:10.133976 : Epoch  2, Batch     51, Loss  0.618021, Average Loss  0.631690, Time  0.258106
2021-09-09 22:26:12.031108 : Epoch  2, Batch     52, Loss  0.626379, Average Loss  0.631616, Time  0.265738
2021-09-09 22:26:13.930967 : Epoch  2, Batch     53, Loss  0.628005, Average Loss  0.631586, Time  0.262598
2021-09-09 22:26:15.817847 : Epoch  2, Batch     54, Loss  0.627664, Average Loss  0.631505, Time  0.259003
2021-09-09 22:26:17.710601 : Epoch  2, Batch     55, Loss  0.620507, Average Loss  0.631426, Time  0.267436
2021-09-09 22:26:19.624790 : Epoch  2, Batch     56, Loss  0.619997, Average Loss  0.631312, Time  0.258050
2021-09-09 22:26:21.509948 : Epoch  2, Batch     57, Loss  0.615032, Average Loss  0.631176, Time  0.258651
2021-09-09 22:26:23.401105 : Epoch  2, Batch     58, Loss  0.619615, Average Loss  0.631074, Time  0.257561
2021-09-09 22:26:25.316778 : Epoch  2, Batch     59, Loss  0.616728, Average Loss  0.630945, Time  0.258044
2021-09-09 22:26:27.198112 : Epoch  2, Batch     60, Loss  0.623155, Average Loss  0.630856, Time  0.264979
2021-09-09 22:26:29.103822 : Epoch  2, Batch     61, Loss  0.630138, Average Loss  0.630820, Time  0.258469
2021-09-09 22:26:31.000204 : Epoch  2, Batch     62, Loss  0.638182, Average Loss  0.630790, Time  0.258471
2021-09-09 22:26:32.899788 : Epoch  2, Batch     63, Loss  0.627458, Average Loss  0.630739, Time  0.258689
2021-09-09 22:26:34.797853 : Epoch  2, Batch     64, Loss  0.621790, Average Loss  0.630667, Time  0.261471
2021-09-09 22:26:36.669861 : Epoch  2, Batch     65, Loss  0.616425, Average Loss  0.630543, Time  0.258149
2021-09-09 22:26:38.544129 : Epoch  2, Batch     66, Loss  0.611050, Average Loss  0.630391, Time  0.265918
2021-09-09 22:26:40.428783 : Epoch  2, Batch     67, Loss  0.623791, Average Loss  0.630336, Time  0.264651
2021-09-09 22:26:42.328843 : Epoch  2, Batch     68, Loss  0.624323, Average Loss  0.630237, Time  0.262578
2021-09-09 22:26:44.187994 : Epoch  2, Batch     69, Loss  0.616925, Average Loss  0.630080, Time  0.258071
2021-09-09 22:26:46.050807 : Epoch  2, Batch     70, Loss  0.614630, Average Loss  0.629963, Time  0.258358
2021-09-09 22:26:47.923259 : Epoch  2, Batch     71, Loss  0.617569, Average Loss  0.629870, Time  0.259751
2021-09-09 22:26:49.796888 : Epoch  2, Batch     72, Loss  0.617473, Average Loss  0.629705, Time  0.262903
2021-09-09 22:26:51.702086 : Epoch  2, Batch     73, Loss  0.621110, Average Loss  0.629653, Time  0.260783
2021-09-09 22:26:53.631089 : Epoch  2, Batch     74, Loss  0.626500, Average Loss  0.629593, Time  0.279467
2021-09-09 22:26:55.529930 : Epoch  2, Batch     75, Loss  0.627242, Average Loss  0.629544, Time  0.258358
2021-09-09 22:26:57.446810 : Epoch  2, Batch     76, Loss  0.620120, Average Loss  0.629433, Time  0.266474
2021-09-09 22:26:59.349858 : Epoch  2, Batch     77, Loss  0.627322, Average Loss  0.629358, Time  0.267278
2021-09-09 22:27:01.236860 : Epoch  2, Batch     78, Loss  0.633824, Average Loss  0.629348, Time  0.266093
2021-09-09 22:27:03.143841 : Epoch  2, Batch     79, Loss  0.619348, Average Loss  0.629243, Time  0.262053
2021-09-09 22:27:05.022088 : Epoch  2, Batch     80, Loss  0.624635, Average Loss  0.629184, Time  0.260656
2021-09-09 22:27:06.917879 : Epoch  2, Batch     81, Loss  0.627614, Average Loss  0.629219, Time  0.261706
2021-09-09 22:27:08.792830 : Epoch  2, Batch     82, Loss  0.617772, Average Loss  0.629108, Time  0.260625
2021-09-09 22:27:10.691815 : Epoch  2, Batch     83, Loss  0.621764, Average Loss  0.628976, Time  0.259921
2021-09-09 22:27:14.686903 : Epoch  2, Batch     84, Loss  0.628656, Average Loss  0.628976, Time  0.267519
2021-09-09 22:27:16.578775 : Epoch  2, Batch     85, Loss  0.622965, Average Loss  0.628897, Time  0.261040
2021-09-09 22:27:18.475845 : Epoch  2, Batch     86, Loss  0.621178, Average Loss  0.628834, Time  0.259190
2021-09-09 22:27:20.373885 : Epoch  2, Batch     87, Loss  0.620934, Average Loss  0.628796, Time  0.258964
2021-09-09 22:27:22.249854 : Epoch  2, Batch     88, Loss  0.631332, Average Loss  0.628762, Time  0.258401
2021-09-09 22:27:24.152819 : Epoch  2, Batch     89, Loss  0.630528, Average Loss  0.628688, Time  0.258831
2021-09-09 22:27:26.075802 : Epoch  2, Batch     90, Loss  0.616183, Average Loss  0.628638, Time  0.260852
2021-09-09 22:27:27.986149 : Epoch  2, Batch     91, Loss  0.617843, Average Loss  0.628480, Time  0.259007
2021-09-09 22:27:29.894829 : Epoch  2, Batch     92, Loss  0.627288, Average Loss  0.628435, Time  0.258695
2021-09-09 22:27:31.779058 : Epoch  2, Batch     93, Loss  0.622783, Average Loss  0.628378, Time  0.260626
2021-09-09 22:27:33.647943 : Epoch  2, Batch     94, Loss  0.625140, Average Loss  0.628338, Time  0.259689
2021-09-09 22:27:35.544302 : Epoch  2, Batch     95, Loss  0.626579, Average Loss  0.628230, Time  0.263624
2021-09-09 22:27:37.418885 : Epoch  2, Batch     96, Loss  0.630176, Average Loss  0.628127, Time  0.258771
2021-09-09 22:27:39.294130 : Epoch  2, Batch     97, Loss  0.621095, Average Loss  0.627993, Time  0.261714
2021-09-09 22:27:41.166033 : Epoch  2, Batch     98, Loss  0.617475, Average Loss  0.627903, Time  0.262547
2021-09-09 22:27:43.049874 : Epoch  2, Batch     99, Loss  0.628884, Average Loss  0.627852, Time  0.261843
2021-09-09 22:27:44.940076 : Epoch  2, Batch    100, Loss  0.633506, Average Loss  0.627790, Time  0.258996
2021-09-09 22:27:46.817133 : Epoch  2, Batch    101, Loss  0.618302, Average Loss  0.627696, Time  0.258160
2021-09-09 22:27:48.690778 : Epoch  2, Batch    102, Loss  0.621355, Average Loss  0.627646, Time  0.272753
2021-09-09 22:27:50.575860 : Epoch  2, Batch    103, Loss  0.619101, Average Loss  0.627584, Time  0.260914
2021-09-09 22:27:52.454776 : Epoch  2, Batch    104, Loss  0.624796, Average Loss  0.627521, Time  0.260240
2021-09-09 22:27:54.333817 : Epoch  2, Batch    105, Loss  0.623490, Average Loss  0.627473, Time  0.258485
2021-09-09 22:27:56.204964 : Epoch  2, Batch    106, Loss  0.617822, Average Loss  0.627401, Time  0.265567
2021-09-09 22:27:58.118927 : Epoch  2, Batch    107, Loss  0.631844, Average Loss  0.627397, Time  0.259457
2021-09-09 22:28:00.020957 : Epoch  2, Batch    108, Loss  0.638033, Average Loss  0.627422, Time  0.261479
2021-09-09 22:28:01.908866 : Epoch  2, Batch    109, Loss  0.629421, Average Loss  0.627391, Time  0.260647
2021-09-09 22:28:03.778939 : Epoch  2, Batch    110, Loss  0.616315, Average Loss  0.627308, Time  0.261792
2021-09-09 22:28:05.656292 : Epoch  2, Batch    111, Loss  0.629295, Average Loss  0.627286, Time  0.258577
2021-09-09 22:28:07.540867 : Epoch  2, Batch    112, Loss  0.617297, Average Loss  0.627178, Time  0.257928
2021-09-09 22:28:09.438097 : Epoch  2, Batch    113, Loss  0.616293, Average Loss  0.627091, Time  0.261559
2021-09-09 22:28:54.613709 : CheckPoint: Validation Loss  0.00060653, Best Loss  0.00056427
2021-09-09 22:28:56.418812 : Epoch  7, Batch   2435, Loss  0.862467, Average Loss  0.868522, Time  0.360515
2021-09-09 22:28:58.213775 : Epoch  7, Batch   2436, Loss  0.833043, Average Loss  0.868384, Time  0.362317
2021-09-09 22:29:00.070771 : Epoch  7, Batch   2437, Loss  0.866032, Average Loss  0.868377, Time  0.360426
2021-09-09 22:29:01.968781 : Epoch  7, Batch   2438, Loss  0.881937, Average Loss  0.868419, Time  0.458459
2021-09-09 22:29:03.861785 : Epoch  7, Batch   2439, Loss  0.911025, Average Loss  0.868493, Time  0.458257
2021-09-09 22:29:05.674138 : Epoch  7, Batch   2440, Loss  0.864256, Average Loss  0.868380, Time  0.362145
2021-09-09 22:29:07.459925 : Epoch  7, Batch   2441, Loss  0.867976, Average Loss  0.868254, Time  0.368422
2021-09-09 22:29:09.270778 : Epoch  7, Batch   2442, Loss  0.881196, Average Loss  0.868431, Time  0.382230
2021-09-09 22:29:11.141763 : Epoch  7, Batch   2443, Loss  0.871366, Average Loss  0.868471, Time  0.450551
2021-09-09 22:29:12.926776 : Epoch  7, Batch   2444, Loss  0.860175, Average Loss  0.868269, Time  0.362980
2021-09-09 22:29:14.729773 : Epoch  7, Batch   2445, Loss  0.890798, Average Loss  0.868486, Time  0.369535
2021-09-09 22:29:16.554779 : Epoch  7, Batch   2446, Loss  0.890287, Average Loss  0.868711, Time  0.392920
2021-09-09 22:29:18.430781 : Epoch  7, Batch   2447, Loss  0.865873, Average Loss  0.868676, Time  0.454058
2021-09-09 22:29:19.492758 : CheckPoint: Validation Loss  0.00025887, Best Loss  0.00025887
2021-09-09 22:29:19.552636 : Best Model Updated
2021-09-09 22:29:20.204771 : Epoch  7, Batch   2448, Loss  0.845124, Average Loss  0.868497, Time  0.356862
2021-09-09 22:29:22.009785 : Epoch  7, Batch   2449, Loss  0.867208, Average Loss  0.868326, Time  0.359228
2021-09-09 22:29:22.391871 : Epoch  2, Batch    114, Loss  0.622097, Average Loss  0.627035, Time  0.275230
2021-09-09 22:29:23.794102 : Epoch  7, Batch   2450, Loss  0.874292, Average Loss  0.868377, Time  0.375341
2021-09-09 22:29:24.273790 : Epoch  2, Batch    115, Loss  0.624625, Average Loss  0.627010, Time  0.265613
2021-09-09 22:29:25.670782 : Epoch  7, Batch   2451, Loss  0.858698, Average Loss  0.868202, Time  0.449960
2021-09-09 22:29:26.150759 : Epoch  2, Batch    116, Loss  0.618613, Average Loss  0.626942, Time  0.260458
2021-09-09 22:29:27.485780 : Epoch  7, Batch   2452, Loss  0.863732, Average Loss  0.868089, Time  0.377832
2021-09-09 22:29:28.034829 : Epoch  2, Batch    117, Loss  0.621554, Average Loss  0.626833, Time  0.264801
2021-09-09 22:29:29.285121 : Epoch  7, Batch   2453, Loss  0.873549, Average Loss  0.868101, Time  0.360880
2021-09-09 22:29:29.942080 : Epoch  2, Batch    118, Loss  0.620762, Average Loss  0.626766, Time  0.258150
2021-09-09 22:29:31.100935 : Epoch  7, Batch   2454, Loss  0.873111, Average Loss  0.867985, Time  0.357590
2021-09-09 22:29:31.858090 : Epoch  2, Batch    119, Loss  0.633971, Average Loss  0.626762, Time  0.266196
2021-09-09 22:29:33.007967 : Epoch  7, Batch   2455, Loss  0.837063, Average Loss  0.867975, Time  0.460082
2021-09-09 22:29:33.755786 : Epoch  2, Batch    120, Loss  0.614766, Average Loss  0.626677, Time  0.261738
2021-09-09 22:29:34.843441 : Epoch  7, Batch   2456, Loss  0.849495, Average Loss  0.867836, Time  0.416725
2021-09-09 22:29:35.630870 : Epoch  2, Batch    121, Loss  0.613885, Average Loss  0.626648, Time  0.258512
2021-09-09 22:29:36.626767 : Epoch  7, Batch   2457, Loss  0.883560, Average Loss  0.867888, Time  0.359736
2021-09-09 22:29:37.541810 : Epoch  2, Batch    122, Loss  0.627718, Average Loss  0.626553, Time  0.259023
2021-09-09 22:29:38.427873 : Epoch  7, Batch   2458, Loss  0.850962, Average Loss  0.867810, Time  0.357719
2021-09-09 22:29:39.426075 : Epoch  2, Batch    123, Loss  0.616444, Average Loss  0.626442, Time  0.261018
2021-09-09 22:29:40.326780 : Epoch  7, Batch   2459, Loss  0.861270, Average Loss  0.867772, Time  0.422830
2021-09-09 22:29:41.298909 : Epoch  2, Batch    124, Loss  0.618470, Average Loss  0.626371, Time  0.258399
2021-09-09 22:29:42.259154 : Epoch  7, Batch   2460, Loss  0.882345, Average Loss  0.867717, Time  0.459436
2021-09-09 22:29:43.168770 : Epoch  2, Batch    125, Loss  0.621585, Average Loss  0.626304, Time  0.262041
2021-09-09 22:29:44.159779 : Epoch  7, Batch   2461, Loss  0.860224, Average Loss  0.867795, Time  0.424736
2021-09-09 22:29:45.068954 : Epoch  2, Batch    126, Loss  0.617431, Average Loss  0.626241, Time  0.258613
2021-09-09 22:29:45.956769 : Epoch  7, Batch   2462, Loss  0.885847, Average Loss  0.867998, Time  0.357631
2021-09-09 22:29:46.961841 : Epoch  2, Batch    127, Loss  0.613363, Average Loss  0.626138, Time  0.258391
2021-09-09 22:29:47.740135 : Epoch  7, Batch   2463, Loss  0.814122, Average Loss  0.867783, Time  0.358179
2021-09-09 22:29:48.870791 : Epoch  2, Batch    128, Loss  0.627575, Average Loss  0.626068, Time  0.265570
2021-09-09 22:29:49.573164 : Epoch  7, Batch   2464, Loss  0.871795, Average Loss  0.867840, Time  0.422175
2021-09-09 22:29:50.764101 : Epoch  2, Batch    129, Loss  0.609926, Average Loss  0.625926, Time  0.264215
2021-09-09 22:29:51.485778 : Epoch  7, Batch   2465, Loss  0.879401, Average Loss  0.867884, Time  0.451490
2021-09-09 22:29:52.649781 : Epoch  2, Batch    130, Loss  0.624431, Average Loss  0.625920, Time  0.264853
2021-09-09 22:29:53.259770 : Epoch  7, Batch   2466, Loss  0.859291, Average Loss  0.867867, Time  0.360330
2021-09-09 22:29:54.542779 : Epoch  2, Batch    131, Loss  0.618944, Average Loss  0.625792, Time  0.261038
2021-09-09 22:29:55.048782 : Epoch  7, Batch   2467, Loss  0.868374, Average Loss  0.867821, Time  0.365211
2021-09-09 22:29:56.419964 : Epoch  2, Batch    132, Loss  0.613836, Average Loss  0.625721, Time  0.270095
2021-09-09 22:29:56.885777 : Epoch  7, Batch   2468, Loss  0.839998, Average Loss  0.867782, Time  0.395793
2021-09-09 22:29:58.313896 : Epoch  2, Batch    133, Loss  0.618678, Average Loss  0.625618, Time  0.258278
2021-09-09 22:29:58.776775 : Epoch  7, Batch   2469, Loss  0.854449, Average Loss  0.867834, Time  0.464328
2021-09-09 22:30:00.226007 : Epoch  2, Batch    134, Loss  0.615409, Average Loss  0.625528, Time  0.258563
2021-09-09 22:30:00.561122 : Epoch  7, Batch   2470, Loss  0.892245, Average Loss  0.867969, Time  0.371927
2021-09-09 22:30:02.118866 : Epoch  2, Batch    135, Loss  0.612876, Average Loss  0.625427, Time  0.265622
2021-09-09 22:30:02.340111 : Epoch  7, Batch   2471, Loss  0.883763, Average Loss  0.868009, Time  0.357647
2021-09-09 22:30:03.990759 : Epoch  2, Batch    136, Loss  0.620728, Average Loss  0.625358, Time  0.259423
2021-09-09 22:30:04.137169 : Epoch  7, Batch   2472, Loss  0.844342, Average Loss  0.868013, Time  0.356249
2021-09-09 22:30:05.897787 : Epoch  2, Batch    137, Loss  0.634034, Average Loss  0.625391, Time  0.264433
2021-09-09 22:30:06.015779 : Epoch  7, Batch   2473, Loss  0.893483, Average Loss  0.868274, Time  0.451586
2021-09-09 22:30:07.795811 : Epoch  2, Batch    138, Loss  0.633007, Average Loss  0.625373, Time  0.261464
2021-09-09 22:30:07.897779 : Epoch  7, Batch   2474, Loss  0.863377, Average Loss  0.868269, Time  0.461007
2021-09-09 22:30:09.669786 : Epoch  7, Batch   2475, Loss  0.873142, Average Loss  0.868373, Time  0.360118
2021-09-09 22:30:09.709835 : Epoch  2, Batch    139, Loss  0.607923, Average Loss  0.625247, Time  0.258617
2021-09-09 22:30:11.499765 : Epoch  7, Batch   2476, Loss  0.861082, Average Loss  0.868295, Time  0.367220
2021-09-09 22:30:11.599355 : Epoch  2, Batch    140, Loss  0.618996, Average Loss  0.625186, Time  0.263684
2021-09-09 22:30:13.321783 : Epoch  7, Batch   2477, Loss  0.885582, Average Loss  0.868319, Time  0.384366
2021-09-09 22:30:13.475079 : Epoch  2, Batch    141, Loss  0.618959, Average Loss  0.625090, Time  0.262141
2021-09-09 22:30:15.218920 : Epoch  7, Batch   2478, Loss  0.862810, Average Loss  0.868401, Time  0.458977
2021-09-09 22:30:15.353879 : Epoch  2, Batch    142, Loss  0.631191, Average Loss  0.625061, Time  0.263678
2021-09-09 22:30:17.005780 : Epoch  7, Batch   2479, Loss  0.837130, Average Loss  0.868212, Time  0.368733
2021-09-09 22:30:17.223975 : Epoch  2, Batch    143, Loss  0.623076, Average Loss  0.624998, Time  0.265961
2021-09-09 22:30:18.802159 : Epoch  7, Batch   2480, Loss  0.871490, Average Loss  0.868173, Time  0.373013
2021-09-09 22:30:19.105839 : Epoch  2, Batch    144, Loss  0.620213, Average Loss  0.624943, Time  0.262236
2021-09-09 22:30:20.619930 : Epoch  7, Batch   2481, Loss  0.880092, Average Loss  0.868191, Time  0.373972
2021-09-09 22:30:20.992754 : Epoch  2, Batch    145, Loss  0.619856, Average Loss  0.624887, Time  0.258490
2021-09-09 22:30:22.502877 : Epoch  7, Batch   2482, Loss  0.870288, Average Loss  0.868131, Time  0.459301
2021-09-09 22:30:22.866824 : Epoch  2, Batch    146, Loss  0.625854, Average Loss  0.624841, Time  0.258299
2021-09-09 22:30:24.282780 : Epoch  7, Batch   2483, Loss  0.864903, Average Loss  0.868073, Time  0.358921
2021-09-09 22:30:24.766910 : Epoch  2, Batch    147, Loss  0.637861, Average Loss  0.624869, Time  0.258474
2021-09-09 22:30:26.077129 : Epoch  7, Batch   2484, Loss  0.864128, Average Loss  0.868065, Time  0.364292
2021-09-09 22:30:26.648857 : Epoch  2, Batch    148, Loss  0.619277, Average Loss  0.624830, Time  0.260410
2021-09-09 22:30:27.855779 : Epoch  7, Batch   2485, Loss  0.875137, Average Loss  0.868082, Time  0.366933
2021-09-09 22:30:28.528085 : Epoch  2, Batch    149, Loss  0.619937, Average Loss  0.624772, Time  0.259021
2021-09-09 22:30:29.744767 : Epoch  7, Batch   2486, Loss  0.878909, Average Loss  0.868225, Time  0.451139
2021-09-09 22:30:30.445084 : Epoch  2, Batch    150, Loss  0.618083, Average Loss  0.624659, Time  0.263459
2021-09-09 22:30:31.518777 : Epoch  7, Batch   2487, Loss  0.868905, Average Loss  0.868273, Time  0.362359
2021-09-09 22:30:32.332777 : Epoch  2, Batch    151, Loss  0.622391, Average Loss  0.624590, Time  0.263097
2021-09-09 22:30:33.298781 : Epoch  7, Batch   2488, Loss  0.864260, Average Loss  0.868285, Time  0.358423
2021-09-09 22:30:34.233776 : Epoch  2, Batch    152, Loss  0.614382, Average Loss  0.624466, Time  0.268834
2021-09-09 22:30:35.127781 : Epoch  7, Batch   2489, Loss  0.893639, Average Loss  0.868513, Time  0.375408
2021-09-09 22:30:36.108948 : Epoch  2, Batch    153, Loss  0.622495, Average Loss  0.624382, Time  0.260819
2021-09-09 22:30:37.030773 : Epoch  7, Batch   2490, Loss  0.873718, Average Loss  0.868555, Time  0.457435
2021-09-09 22:30:38.022101 : Epoch  2, Batch    154, Loss  0.634216, Average Loss  0.624422, Time  0.258653
2021-09-09 22:30:38.838786 : Epoch  7, Batch   2491, Loss  0.881111, Average Loss  0.868405, Time  0.362552
2021-09-09 22:30:39.899565 : Epoch  2, Batch    155, Loss  0.617502, Average Loss  0.624314, Time  0.266496
2021-09-09 22:30:40.647787 : Epoch  7, Batch   2492, Loss  0.858943, Average Loss  0.868451, Time  0.358398
2021-09-09 22:30:41.848888 : Epoch  2, Batch    156, Loss  0.623017, Average Loss  0.624275, Time  0.267618
2021-09-09 22:30:42.455868 : Epoch  7, Batch   2493, Loss  0.865487, Average Loss  0.868353, Time  0.365120
2021-09-09 22:30:43.754971 : Epoch  2, Batch    157, Loss  0.630385, Average Loss  0.624295, Time  0.261438
2021-09-09 22:30:44.336452 : Epoch  7, Batch   2494, Loss  0.861623, Average Loss  0.868209, Time  0.453465
2021-09-09 22:30:45.654857 : Epoch  2, Batch    158, Loss  0.617254, Average Loss  0.624212, Time  0.258044
2021-09-09 22:30:46.121938 : Epoch  7, Batch   2495, Loss  0.862460, Average Loss  0.868243, Time  0.372731
2021-09-09 22:30:47.566140 : Epoch  2, Batch    159, Loss  0.610236, Average Loss  0.624113, Time  0.257575
2021-09-09 22:30:47.912772 : Epoch  7, Batch   2496, Loss  0.875173, Average Loss  0.868392, Time  0.374947
2021-09-09 22:30:49.470761 : Epoch  2, Batch    160, Loss  0.617326, Average Loss  0.624050, Time  0.258466
2021-09-09 22:30:49.710759 : Epoch  7, Batch   2497, Loss  0.835453, Average Loss  0.868235, Time  0.365744
2021-09-09 22:30:51.370068 : Epoch  2, Batch    161, Loss  0.621005, Average Loss  0.623968, Time  0.257912
2021-09-09 22:30:51.588144 : Epoch  7, Batch   2498, Loss  0.867284, Average Loss  0.868106, Time  0.470242
2021-09-09 22:30:53.236669 : Epoch  2, Batch    162, Loss  0.613321, Average Loss  0.623881, Time  0.258120
2021-09-09 22:30:53.372155 : Epoch  7, Batch   2499, Loss  0.863423, Average Loss  0.868117, Time  0.363859
2021-09-09 22:30:55.108086 : Epoch  2, Batch    163, Loss  0.613350, Average Loss  0.623855, Time  0.258339
2021-09-09 22:30:55.192782 : Epoch  7, Batch   2500, Loss  0.871108, Average Loss  0.867952, Time  0.366884
2021-09-09 22:30:56.981767 : Epoch  7, Batch   2501, Loss  0.855128, Average Loss  0.867881, Time  0.359518
2021-09-09 22:30:57.020070 : Epoch  2, Batch    164, Loss  0.611013, Average Loss  0.623782, Time  0.259613
2021-09-09 22:30:58.865152 : Epoch  7, Batch   2502, Loss  0.868401, Average Loss  0.867916, Time  0.469833
2021-09-09 22:30:58.901777 : Epoch  2, Batch    165, Loss  0.624555, Average Loss  0.623753, Time  0.257998
2021-09-09 22:31:00.633588 : Epoch  7, Batch   2503, Loss  0.847386, Average Loss  0.867813, Time  0.352183
2021-09-09 22:31:00.781899 : Epoch  2, Batch    166, Loss  0.623327, Average Loss  0.623696, Time  0.257910
2021-09-09 22:31:02.449801 : Epoch  7, Batch   2504, Loss  0.876931, Average Loss  0.867836, Time  0.368048
2021-09-09 22:31:02.664837 : Epoch  2, Batch    167, Loss  0.618442, Average Loss  0.623643, Time  0.258307
2021-09-09 22:31:04.288145 : Epoch  7, Batch   2505, Loss  0.849671, Average Loss  0.867768, Time  0.364599
2021-09-09 22:31:04.568759 : Epoch  2, Batch    168, Loss  0.630454, Average Loss  0.623638, Time  0.258819
2021-09-09 22:31:06.177778 : Epoch  7, Batch   2506, Loss  0.875616, Average Loss  0.867722, Time  0.457206
2021-09-09 22:31:06.455980 : Epoch  2, Batch    169, Loss  0.618118, Average Loss  0.623558, Time  0.258153
2021-09-09 22:31:07.996703 : Epoch  7, Batch   2507, Loss  0.877910, Average Loss  0.867764, Time  0.407532
2021-09-09 22:31:08.336942 : Epoch  2, Batch    170, Loss  0.626909, Average Loss  0.623567, Time  0.258482
2021-09-09 22:31:09.781771 : Epoch  7, Batch   2508, Loss  0.881398, Average Loss  0.867728, Time  0.363468
2021-09-09 22:31:10.208938 : Epoch  2, Batch    171, Loss  0.623601, Average Loss  0.623495, Time  0.262699
2021-09-09 22:31:11.548668 : Epoch  7, Batch   2509, Loss  0.851960, Average Loss  0.867632, Time  0.358372
2021-09-09 22:31:12.089772 : Epoch  2, Batch    172, Loss  0.609250, Average Loss  0.623378, Time  0.269955
2021-09-09 22:31:13.427795 : Epoch  7, Batch   2510, Loss  0.868822, Average Loss  0.867743, Time  0.453888
2021-09-09 22:31:14.015033 : Epoch  2, Batch    173, Loss  0.618651, Average Loss  0.623368, Time  0.267651
2021-09-09 22:31:15.310253 : Epoch  7, Batch   2511, Loss  0.871165, Average Loss  0.867711, Time  0.457299
2021-09-09 22:31:15.939909 : Epoch  2, Batch    174, Loss  0.614270, Average Loss  0.623233, Time  0.261760
2021-09-09 22:31:17.107793 : Epoch  7, Batch   2512, Loss  0.924244, Average Loss  0.867936, Time  0.379430
2021-09-09 22:31:17.822568 : Epoch  2, Batch    175, Loss  0.623533, Average Loss  0.623222, Time  0.258006
2021-09-09 22:31:18.899148 : Epoch  7, Batch   2513, Loss  0.851558, Average Loss  0.867778, Time  0.359949
2021-09-09 22:31:19.730802 : Epoch  2, Batch    176, Loss  0.626572, Average Loss  0.623254, Time  0.258236
2021-09-09 22:31:20.703784 : Epoch  7, Batch   2514, Loss  0.882155, Average Loss  0.867800, Time  0.381071
2021-09-09 22:31:21.611089 : Epoch  2, Batch    177, Loss  0.622534, Average Loss  0.623251, Time  0.258515
2021-09-09 22:31:22.587143 : Epoch  7, Batch   2515, Loss  0.862521, Average Loss  0.867678, Time  0.452126
2021-09-09 22:31:23.477940 : Epoch  2, Batch    178, Loss  0.617727, Average Loss  0.623214, Time  0.259248
2021-09-09 22:31:24.346535 : Epoch  7, Batch   2516, Loss  0.890902, Average Loss  0.867737, Time  0.360612
2021-09-09 22:31:25.359093 : Epoch  2, Batch    179, Loss  0.627869, Average Loss  0.623207, Time  0.261546
2021-09-09 22:31:26.110472 : Epoch  7, Batch   2517, Loss  0.845154, Average Loss  0.867694, Time  0.357045
2021-09-09 22:31:27.244804 : Epoch  2, Batch    180, Loss  0.619905, Average Loss  0.623147, Time  0.259752
2021-09-09 22:31:27.908777 : Epoch  7, Batch   2518, Loss  0.848828, Average Loss  0.867735, Time  0.391322
2021-09-09 22:31:29.148764 : Epoch  2, Batch    181, Loss  0.614296, Average Loss  0.623120, Time  0.259994
2021-09-09 22:31:29.775126 : Epoch  7, Batch   2519, Loss  0.891862, Average Loss  0.867773, Time  0.462149
2021-09-09 22:31:31.019717 : Epoch  2, Batch    182, Loss  0.621525, Average Loss  0.623060, Time  0.258899
2021-09-09 22:31:31.579707 : Epoch  7, Batch   2520, Loss  0.843786, Average Loss  0.867597, Time  0.346451
2021-09-09 22:31:32.905095 : Epoch  2, Batch    183, Loss  0.613880, Average Loss  0.623041, Time  0.258382
2021-09-09 22:31:33.349123 : Epoch  7, Batch   2521, Loss  0.884231, Average Loss  0.867595, Time  0.358389
2021-09-09 22:31:35.132942 : Epoch  7, Batch   2522, Loss  0.893539, Average Loss  0.867697, Time  0.382045
2021-09-09 22:31:36.886807 : Epoch  2, Batch    184, Loss  0.623787, Average Loss  0.622988, Time  0.264039
2021-09-09 22:31:37.055928 : Epoch  7, Batch   2523, Loss  0.876816, Average Loss  0.867774, Time  0.482897
2021-09-09 22:31:38.817095 : Epoch  2, Batch    185, Loss  0.630303, Average Loss  0.623043, Time  0.258476
2021-09-09 22:31:38.920815 : Epoch  7, Batch   2524, Loss  0.861560, Average Loss  0.867825, Time  0.436049
2021-09-09 22:31:40.691923 : Epoch  7, Batch   2525, Loss  0.865726, Average Loss  0.867834, Time  0.358667
2021-09-09 22:31:40.731020 : Epoch  2, Batch    186, Loss  0.613229, Average Loss  0.622983, Time  0.261681
2021-09-09 22:31:42.513767 : Epoch  7, Batch   2526, Loss  0.875112, Average Loss  0.867858, Time  0.357140
2021-09-09 22:31:42.603077 : Epoch  2, Batch    187, Loss  0.624440, Average Loss  0.622999, Time  0.257985
2021-09-09 22:31:44.345313 : Epoch  7, Batch   2527, Loss  0.896502, Average Loss  0.867917, Time  0.421480
2021-09-09 22:31:44.484077 : Epoch  2, Batch    188, Loss  0.620044, Average Loss  0.622958, Time  0.262806
2021-09-09 22:31:46.214766 : Epoch  7, Batch   2528, Loss  0.875701, Average Loss  0.867932, Time  0.447928
2021-09-09 22:31:46.350750 : Epoch  2, Batch    189, Loss  0.625569, Average Loss  0.622902, Time  0.258584
2021-09-09 22:31:48.019769 : Epoch  7, Batch   2529, Loss  0.879273, Average Loss  0.867796, Time  0.356915
2021-09-09 22:31:48.219850 : Epoch  2, Batch    190, Loss  0.621414, Average Loss  0.622885, Time  0.258883
2021-09-09 22:31:49.810788 : Epoch  7, Batch   2530, Loss  0.876479, Average Loss  0.867931, Time  0.355906
2021-09-09 22:31:50.084087 : Epoch  2, Batch    191, Loss  0.621331, Average Loss  0.622882, Time  0.257945
2021-09-09 22:31:51.626763 : Epoch  7, Batch   2531, Loss  0.832939, Average Loss  0.867784, Time  0.376326
2021-09-09 22:31:51.947081 : Epoch  2, Batch    192, Loss  0.621980, Average Loss  0.622859, Time  0.258015
2021-09-09 22:31:53.514786 : Epoch  7, Batch   2532, Loss  0.878696, Average Loss  0.867736, Time  0.451899
2021-09-09 22:31:53.818088 : Epoch  2, Batch    193, Loss  0.619801, Average Loss  0.622890, Time  0.258260
2021-09-09 22:31:55.325765 : Epoch  7, Batch   2533, Loss  0.874669, Average Loss  0.867835, Time  0.372503
2021-09-09 22:31:55.695128 : Epoch  2, Batch    194, Loss  0.611158, Average Loss  0.622813, Time  0.258981
2021-09-09 22:31:57.149842 : Epoch  7, Batch   2534, Loss  0.847706, Average Loss  0.867708, Time  0.356493
2021-09-09 22:31:57.578026 : Epoch  2, Batch    195, Loss  0.619385, Average Loss  0.622768, Time  0.261379
2021-09-09 22:31:59.483499 : Epoch  2, Batch    196, Loss  0.626476, Average Loss  0.622776, Time  0.265214
2021-09-09 22:32:01.414062 : Epoch  2, Batch    197, Loss  0.620304, Average Loss  0.622754, Time  0.261302
2021-09-09 22:32:03.333771 : Epoch  2, Batch    198, Loss  0.627817, Average Loss  0.622734, Time  0.258529
2021-09-09 22:32:05.218846 : Epoch  2, Batch    199, Loss  0.625061, Average Loss  0.622677, Time  0.259353
2021-09-09 22:32:07.101763 : Epoch  2, Batch    200, Loss  0.615994, Average Loss  0.622579, Time  0.264714
2021-09-09 22:32:08.991084 : Epoch  2, Batch    201, Loss  0.622621, Average Loss  0.622566, Time  0.261149
2021-09-09 22:32:10.880901 : Epoch  2, Batch    202, Loss  0.616892, Average Loss  0.622519, Time  0.259470
2021-09-09 22:32:12.766346 : Epoch  2, Batch    203, Loss  0.616953, Average Loss  0.622529, Time  0.265401
2021-09-09 22:32:14.653937 : Epoch  2, Batch    204, Loss  0.611479, Average Loss  0.622450, Time  0.266021
2021-09-09 22:32:16.539795 : Epoch  2, Batch    205, Loss  0.611784, Average Loss  0.622402, Time  0.262846
2021-09-09 22:32:18.453091 : Epoch  2, Batch    206, Loss  0.604970, Average Loss  0.622272, Time  0.269621
2021-09-09 22:32:20.359797 : Epoch  2, Batch    207, Loss  0.613714, Average Loss  0.622185, Time  0.258955
2021-09-09 22:32:22.253835 : Epoch  2, Batch    208, Loss  0.628646, Average Loss  0.622217, Time  0.259573
2021-09-09 22:32:24.144791 : Epoch  2, Batch    209, Loss  0.617883, Average Loss  0.622158, Time  0.258505
2021-09-09 22:32:26.021842 : Epoch  2, Batch    210, Loss  0.615323, Average Loss  0.622083, Time  0.263488
2021-09-09 22:32:27.918858 : Epoch  2, Batch    211, Loss  0.613895, Average Loss  0.622043, Time  0.261107
2021-09-09 22:32:29.805093 : Epoch  2, Batch    212, Loss  0.630022, Average Loss  0.622072, Time  0.258197
2021-09-09 22:32:33.761858 : Epoch  2, Batch    213, Loss  0.622940, Average Loss  0.622070, Time  0.272247
2021-09-09 22:33:43.375736 : CheckPoint: Validation Loss  0.00026002, Best Loss  0.00025887
2021-09-09 22:33:45.280903 : Epoch  2, Batch    214, Loss  0.616071, Average Loss  0.622069, Time  0.267544
2021-09-09 22:33:47.160889 : Epoch  2, Batch    215, Loss  0.619173, Average Loss  0.622068, Time  0.261086
2021-09-09 22:33:49.025221 : Epoch  2, Batch    216, Loss  0.622280, Average Loss  0.622064, Time  0.259093
2021-09-09 22:33:50.903834 : Epoch  2, Batch    217, Loss  0.628084, Average Loss  0.622075, Time  0.264843
2021-09-09 22:33:52.799980 : Epoch  2, Batch    218, Loss  0.630292, Average Loss  0.622031, Time  0.262193
2021-09-09 22:33:54.694861 : Epoch  2, Batch    219, Loss  0.619898, Average Loss  0.622023, Time  0.258275
2021-09-09 22:33:56.580142 : Epoch  2, Batch    220, Loss  0.612533, Average Loss  0.621887, Time  0.258985
2021-09-09 22:33:58.471082 : Epoch  2, Batch    221, Loss  0.606142, Average Loss  0.621851, Time  0.261625
2021-09-09 22:34:00.354798 : Epoch  2, Batch    222, Loss  0.622040, Average Loss  0.621799, Time  0.258456
2021-09-09 22:34:02.232169 : Epoch  2, Batch    223, Loss  0.625689, Average Loss  0.621802, Time  0.258362
2021-09-09 22:34:04.103973 : Epoch  2, Batch    224, Loss  0.614927, Average Loss  0.621827, Time  0.258938
2021-09-09 22:34:05.982073 : Epoch  2, Batch    225, Loss  0.615706, Average Loss  0.621773, Time  0.258363
2021-09-09 22:34:07.859773 : Epoch  2, Batch    226, Loss  0.625273, Average Loss  0.621740, Time  0.262258
2021-09-09 22:34:09.759837 : Epoch  2, Batch    227, Loss  0.616725, Average Loss  0.621649, Time  0.258476
2021-09-09 22:34:11.654036 : Epoch  2, Batch    228, Loss  0.608569, Average Loss  0.621567, Time  0.257676
2021-09-09 22:34:13.570802 : Epoch  2, Batch    229, Loss  0.618214, Average Loss  0.621551, Time  0.258171
2021-09-09 22:34:15.470905 : Epoch  2, Batch    230, Loss  0.621417, Average Loss  0.621503, Time  0.258085
2021-09-09 22:34:17.373327 : Epoch  2, Batch    231, Loss  0.625612, Average Loss  0.621462, Time  0.258465
2021-09-09 22:34:19.253780 : Epoch  2, Batch    232, Loss  0.612284, Average Loss  0.621370, Time  0.268256
2021-09-09 22:34:21.159084 : Epoch  2, Batch    233, Loss  0.613697, Average Loss  0.621290, Time  0.266391
2021-09-09 22:34:23.061764 : Epoch  2, Batch    234, Loss  0.622759, Average Loss  0.621279, Time  0.267383
2021-09-09 22:34:24.976925 : Epoch  2, Batch    235, Loss  0.616675, Average Loss  0.621276, Time  0.273358
2021-09-09 22:34:26.874084 : Epoch  2, Batch    236, Loss  0.630117, Average Loss  0.621293, Time  0.258364
2021-09-09 22:34:28.759907 : Epoch  2, Batch    237, Loss  0.617386, Average Loss  0.621289, Time  0.258398
2021-09-09 22:34:30.669111 : Epoch  2, Batch    238, Loss  0.609231, Average Loss  0.621206, Time  0.263502
2021-09-09 22:34:32.546674 : Epoch  2, Batch    239, Loss  0.617124, Average Loss  0.621157, Time  0.261175
2021-09-09 22:34:34.426779 : Epoch  2, Batch    240, Loss  0.614326, Average Loss  0.621123, Time  0.259428
2021-09-09 22:34:36.331095 : Epoch  2, Batch    241, Loss  0.614356, Average Loss  0.621061, Time  0.258084
2021-09-09 22:34:38.247839 : Epoch  2, Batch    242, Loss  0.622528, Average Loss  0.621023, Time  0.263360
2021-09-09 22:34:40.162825 : Epoch  2, Batch    243, Loss  0.621884, Average Loss  0.620954, Time  0.266158
2021-09-09 22:34:42.066879 : Epoch  2, Batch    244, Loss  0.613968, Average Loss  0.620854, Time  0.267291
2021-09-09 22:34:43.989095 : Epoch  2, Batch    245, Loss  0.617371, Average Loss  0.620899, Time  0.261144
2021-09-09 22:34:45.863049 : Epoch  2, Batch    246, Loss  0.617673, Average Loss  0.620843, Time  0.257855
2021-09-09 22:34:47.740968 : Epoch  2, Batch    247, Loss  0.612666, Average Loss  0.620816, Time  0.262108
2021-09-09 22:34:49.650085 : Epoch  2, Batch    248, Loss  0.615710, Average Loss  0.620817, Time  0.266995
2021-09-09 22:34:51.545894 : Epoch  2, Batch    249, Loss  0.616582, Average Loss  0.620826, Time  0.268286
2021-09-09 22:34:53.463099 : Epoch  2, Batch    250, Loss  0.621636, Average Loss  0.620896, Time  0.260509
2021-09-09 22:34:55.355781 : Epoch  2, Batch    251, Loss  0.594027, Average Loss  0.620776, Time  0.258528
2021-09-09 22:34:57.246398 : Epoch  2, Batch    252, Loss  0.617007, Average Loss  0.620729, Time  0.258042
2021-09-09 22:34:59.135777 : Epoch  2, Batch    253, Loss  0.617987, Average Loss  0.620679, Time  0.264112
2021-09-09 22:35:01.035959 : Epoch  2, Batch    254, Loss  0.619239, Average Loss  0.620637, Time  0.258311
2021-09-09 22:35:02.928139 : Epoch  2, Batch    255, Loss  0.607674, Average Loss  0.620572, Time  0.261490
2021-09-09 22:35:04.813131 : Epoch  2, Batch    256, Loss  0.607040, Average Loss  0.620508, Time  0.258952
2021-09-09 22:35:06.688933 : Epoch  2, Batch    257, Loss  0.604277, Average Loss  0.620454, Time  0.263815
2021-09-09 22:35:08.585115 : Epoch  2, Batch    258, Loss  0.617289, Average Loss  0.620442, Time  0.265354
2021-09-09 22:35:10.477784 : Epoch  2, Batch    259, Loss  0.615556, Average Loss  0.620436, Time  0.263973
2021-09-09 22:35:12.380044 : Epoch  2, Batch    260, Loss  0.614205, Average Loss  0.620392, Time  0.259683
2021-09-09 22:35:14.265761 : Epoch  2, Batch    261, Loss  0.613697, Average Loss  0.620309, Time  0.259193
2021-09-09 22:35:16.154089 : Epoch  2, Batch    262, Loss  0.619364, Average Loss  0.620215, Time  0.258306
2021-09-09 22:35:18.048086 : Epoch  2, Batch    263, Loss  0.617751, Average Loss  0.620167, Time  0.266955
2021-09-09 22:35:19.947093 : Epoch  2, Batch    264, Loss  0.631971, Average Loss  0.620218, Time  0.259043
2021-09-09 22:35:21.854086 : Epoch  2, Batch    265, Loss  0.618799, Average Loss  0.620230, Time  0.261522
2021-09-09 22:35:23.741860 : Epoch  2, Batch    266, Loss  0.610782, Average Loss  0.620228, Time  0.268167
2021-09-09 22:35:25.642096 : Epoch  2, Batch    267, Loss  0.617709, Average Loss  0.620198, Time  0.261303
2021-09-09 22:35:27.532108 : Epoch  2, Batch    268, Loss  0.614279, Average Loss  0.620148, Time  0.264554
2021-09-09 22:35:29.413139 : Epoch  2, Batch    269, Loss  0.619440, Average Loss  0.620160, Time  0.258790
2021-09-09 22:35:31.304866 : Epoch  2, Batch    270, Loss  0.610907, Average Loss  0.620142, Time  0.264673
2021-09-09 22:35:33.191089 : Epoch  2, Batch    271, Loss  0.618016, Average Loss  0.620144, Time  0.259867
2021-09-09 22:35:35.093170 : Epoch  2, Batch    272, Loss  0.614910, Average Loss  0.620131, Time  0.258282
2021-09-09 22:35:36.983004 : Epoch  2, Batch    273, Loss  0.619925, Average Loss  0.620125, Time  0.259374
2021-09-09 22:35:38.892959 : Epoch  2, Batch    274, Loss  0.620523, Average Loss  0.620095, Time  0.266491
2021-09-09 22:35:40.816083 : Epoch  2, Batch    275, Loss  0.624421, Average Loss  0.620081, Time  0.266343
2021-09-09 22:35:42.690820 : Epoch  2, Batch    276, Loss  0.619911, Average Loss  0.620080, Time  0.259129
2021-09-09 22:35:44.560706 : Epoch  2, Batch    277, Loss  0.618606, Average Loss  0.620036, Time  0.263358
2021-09-09 22:35:46.437931 : Epoch  2, Batch    278, Loss  0.621669, Average Loss  0.619976, Time  0.259566
2021-09-09 22:35:48.321088 : Epoch  2, Batch    279, Loss  0.625426, Average Loss  0.620006, Time  0.260369
2021-09-09 22:35:50.242966 : Epoch  2, Batch    280, Loss  0.623233, Average Loss  0.619999, Time  0.258757
2021-09-09 22:35:52.134867 : Epoch  2, Batch    281, Loss  0.609779, Average Loss  0.619910, Time  0.258230
2021-09-09 22:35:54.043107 : Epoch  2, Batch    282, Loss  0.617896, Average Loss  0.619910, Time  0.259573
2021-09-09 22:35:55.915920 : Epoch  2, Batch    283, Loss  0.621246, Average Loss  0.619908, Time  0.258746
2021-09-09 22:35:59.880833 : Epoch  2, Batch    284, Loss  0.611190, Average Loss  0.619821, Time  0.267708
2021-09-09 22:36:01.774094 : Epoch  2, Batch    285, Loss  0.609985, Average Loss  0.619756, Time  0.261946
2021-09-09 22:36:03.651085 : Epoch  2, Batch    286, Loss  0.616588, Average Loss  0.619733, Time  0.263299
2021-09-09 22:36:05.518868 : Epoch  2, Batch    287, Loss  0.616658, Average Loss  0.619711, Time  0.264954
2021-09-09 22:36:07.417098 : Epoch  2, Batch    288, Loss  0.623018, Average Loss  0.619670, Time  0.262077
2021-09-09 22:36:09.336863 : Epoch  2, Batch    289, Loss  0.612612, Average Loss  0.619580, Time  0.261406
2021-09-09 22:36:11.256091 : Epoch  2, Batch    290, Loss  0.617286, Average Loss  0.619586, Time  0.264999
2021-09-09 22:36:13.135832 : Epoch  2, Batch    291, Loss  0.614240, Average Loss  0.619568, Time  0.258945
2021-09-09 22:36:15.021975 : Epoch  2, Batch    292, Loss  0.620440, Average Loss  0.619533, Time  0.258607
2021-09-09 22:36:16.924086 : Epoch  2, Batch    293, Loss  0.619278, Average Loss  0.619516, Time  0.257991
2021-09-09 22:36:18.799826 : Epoch  2, Batch    294, Loss  0.618544, Average Loss  0.619483, Time  0.263247
2021-09-09 22:36:20.670908 : Epoch  2, Batch    295, Loss  0.614292, Average Loss  0.619421, Time  0.258728
2021-09-09 22:36:22.568952 : Epoch  2, Batch    296, Loss  0.617470, Average Loss  0.619358, Time  0.264286
2021-09-09 22:36:24.474937 : Epoch  2, Batch    297, Loss  0.620630, Average Loss  0.619356, Time  0.262039
2021-09-09 22:36:24.656962 : Epoch  2, Batch    298, Loss  0.766905, Average Loss  0.620103, Time  0.120430
2021-09-09 22:36:26.519114 : Epoch  2, Batch    299, Loss  0.628746, Average Loss  0.620102, Time  0.258490
2021-09-09 22:36:28.380792 : Epoch  2, Batch    300, Loss  0.617850, Average Loss  0.620024, Time  0.260498
2021-09-09 22:36:30.273969 : Epoch  2, Batch    301, Loss  0.627365, Average Loss  0.620069, Time  0.258184
2021-09-09 22:36:32.186794 : Epoch  2, Batch    302, Loss  0.628498, Average Loss  0.620105, Time  0.258045
2021-09-09 22:36:34.076068 : Epoch  2, Batch    303, Loss  0.623998, Average Loss  0.620129, Time  0.258116
2021-09-09 22:36:35.962824 : Epoch  2, Batch    304, Loss  0.630047, Average Loss  0.620156, Time  0.257711
2021-09-09 22:36:37.843088 : Epoch  2, Batch    305, Loss  0.613988, Average Loss  0.620108, Time  0.258520
2021-09-09 22:36:39.747851 : Epoch  2, Batch    306, Loss  0.620390, Average Loss  0.620121, Time  0.258170
2021-09-09 22:36:41.645922 : Epoch  2, Batch    307, Loss  0.624393, Average Loss  0.620084, Time  0.258220
2021-09-09 22:36:43.530052 : Epoch  2, Batch    308, Loss  0.632004, Average Loss  0.620053, Time  0.257788
2021-09-09 22:36:45.473974 : Epoch  2, Batch    309, Loss  0.628815, Average Loss  0.620050, Time  0.257957
2021-09-09 22:36:47.375782 : Epoch  2, Batch    310, Loss  0.621757, Average Loss  0.620078, Time  0.257719
2021-09-09 22:36:47.580700 : CheckPoint: Validation Loss  0.00060764, Best Loss  0.00056427
2021-09-09 22:36:49.273062 : Epoch  2, Batch    311, Loss  0.618746, Average Loss  0.620025, Time  0.257976
2021-09-09 22:36:49.438047 : Epoch  7, Batch   2535, Loss  0.894745, Average Loss  0.867787, Time  0.422761
2021-09-09 22:36:51.144811 : Epoch  2, Batch    312, Loss  0.627483, Average Loss  0.620076, Time  0.257880
2021-09-09 22:36:51.307682 : Epoch  7, Batch   2536, Loss  0.854819, Average Loss  0.867707, Time  0.452463
2021-09-09 22:36:53.017839 : Epoch  2, Batch    313, Loss  0.613728, Average Loss  0.620063, Time  0.258222
2021-09-09 22:36:53.081875 : Epoch  7, Batch   2537, Loss  0.844562, Average Loss  0.867434, Time  0.356563
2021-09-09 22:36:54.913179 : Epoch  7, Batch   2538, Loss  0.884453, Average Loss  0.867478, Time  0.359929
2021-09-09 22:36:56.742796 : Epoch  7, Batch   2539, Loss  0.869194, Average Loss  0.867428, Time  0.366371
2021-09-09 22:36:58.646786 : Epoch  7, Batch   2540, Loss  0.834920, Average Loss  0.867250, Time  0.452387
2021-09-09 22:37:00.500767 : Epoch  7, Batch   2541, Loss  0.890380, Average Loss  0.867220, Time  0.413549
2021-09-09 22:37:02.304792 : Epoch  7, Batch   2542, Loss  0.865953, Average Loss  0.867352, Time  0.355798
2021-09-09 22:37:04.124861 : Epoch  7, Batch   2543, Loss  0.879473, Average Loss  0.867469, Time  0.357601
2021-09-09 22:37:05.994928 : Epoch  7, Batch   2544, Loss  0.881548, Average Loss  0.867656, Time  0.414870
2021-09-09 22:37:07.900193 : Epoch  7, Batch   2545, Loss  0.848188, Average Loss  0.867681, Time  0.447984
2021-09-09 22:37:09.699763 : Epoch  7, Batch   2546, Loss  0.871813, Average Loss  0.867797, Time  0.346259
2021-09-09 22:37:11.519771 : Epoch  7, Batch   2547, Loss  0.880662, Average Loss  0.867835, Time  0.356700
2021-09-09 22:37:13.330763 : Epoch  7, Batch   2548, Loss  0.886026, Average Loss  0.868119, Time  0.360052
2021-09-09 22:37:15.241782 : Epoch  7, Batch   2549, Loss  0.858507, Average Loss  0.868020, Time  0.450212
2021-09-09 22:37:17.147955 : Epoch  7, Batch   2550, Loss  0.892079, Average Loss  0.868263, Time  0.461065
2021-09-09 22:37:18.945791 : Epoch  7, Batch   2551, Loss  0.844071, Average Loss  0.868189, Time  0.356374
2021-09-09 22:37:20.731112 : Epoch  7, Batch   2552, Loss  0.848056, Average Loss  0.868188, Time  0.357356
2021-09-09 22:37:22.538571 : Epoch  7, Batch   2553, Loss  0.875935, Average Loss  0.868197, Time  0.389646
2021-09-09 22:37:24.423771 : Epoch  7, Batch   2554, Loss  0.894575, Average Loss  0.868265, Time  0.458639
2021-09-09 22:37:26.213802 : Epoch  7, Batch   2555, Loss  0.875740, Average Loss  0.868331, Time  0.349598
2021-09-09 22:37:28.009128 : Epoch  7, Batch   2556, Loss  0.880978, Average Loss  0.868434, Time  0.365572
2021-09-09 22:37:29.819152 : Epoch  7, Batch   2557, Loss  0.857925, Average Loss  0.868319, Time  0.358573
2021-09-09 22:37:31.702766 : Epoch  7, Batch   2558, Loss  0.856337, Average Loss  0.868325, Time  0.450858
2021-09-09 22:37:33.486772 : Epoch  7, Batch   2559, Loss  0.882111, Average Loss  0.868301, Time  0.357188
2021-09-09 22:37:35.286763 : Epoch  7, Batch   2560, Loss  0.855836, Average Loss  0.868299, Time  0.357406
2021-09-09 22:37:37.077904 : Epoch  7, Batch   2561, Loss  0.818644, Average Loss  0.868266, Time  0.367375
2021-09-09 22:37:38.982063 : Epoch  7, Batch   2562, Loss  0.847065, Average Loss  0.868085, Time  0.463343
2021-09-09 22:37:40.872842 : Epoch  7, Batch   2563, Loss  0.886656, Average Loss  0.868078, Time  0.431285
2021-09-09 22:37:42.651084 : Epoch  7, Batch   2564, Loss  0.867967, Average Loss  0.867971, Time  0.358077
2021-09-09 22:37:44.451507 : Epoch  7, Batch   2565, Loss  0.853343, Average Loss  0.867972, Time  0.360051
2021-09-09 22:37:46.289733 : Epoch  7, Batch   2566, Loss  0.895713, Average Loss  0.868163, Time  0.411171
2021-09-09 22:37:48.192260 : Epoch  7, Batch   2567, Loss  0.866381, Average Loss  0.868202, Time  0.453060
2021-09-09 22:37:50.030366 : Epoch  7, Batch   2568, Loss  0.863731, Average Loss  0.868203, Time  0.376003
2021-09-09 22:37:51.816778 : Epoch  7, Batch   2569, Loss  0.849772, Average Loss  0.868044, Time  0.357914
2021-09-09 22:37:53.603851 : Epoch  7, Batch   2570, Loss  0.856676, Average Loss  0.868071, Time  0.364475
2021-09-09 22:37:55.508272 : Epoch  7, Batch   2571, Loss  0.814505, Average Loss  0.867696, Time  0.447140
2021-09-09 22:37:57.381855 : Epoch  7, Batch   2572, Loss  0.882879, Average Loss  0.867883, Time  0.450098
2021-09-09 22:37:59.160766 : Epoch  7, Batch   2573, Loss  0.863369, Average Loss  0.867823, Time  0.362877
2021-09-09 22:38:00.957772 : Epoch  7, Batch   2574, Loss  0.886013, Average Loss  0.867842, Time  0.372630
2021-09-09 22:38:02.581760 : CheckPoint: Validation Loss  0.00025261, Best Loss  0.00025261
2021-09-09 22:38:02.620249 : Best Model Updated
2021-09-09 22:38:02.819798 : Epoch  7, Batch   2575, Loss  0.865249, Average Loss  0.867845, Time  0.396089
2021-09-09 22:38:04.972297 : Epoch  7, Batch   2576, Loss  0.874849, Average Loss  0.867843, Time  0.449192
2021-09-09 22:38:05.896827 : Epoch  2, Batch    314, Loss  0.619238, Average Loss  0.620049, Time  0.265744
2021-09-09 22:38:06.855873 : Epoch  7, Batch   2577, Loss  0.856379, Average Loss  0.867690, Time  0.455566
2021-09-09 22:38:07.784892 : Epoch  2, Batch    315, Loss  0.613558, Average Loss  0.619993, Time  0.264410
2021-09-09 22:38:08.629289 : Epoch  7, Batch   2578, Loss  0.847943, Average Loss  0.867620, Time  0.359005
2021-09-09 22:38:09.676829 : Epoch  2, Batch    316, Loss  0.622869, Average Loss  0.620015, Time  0.258431
2021-09-09 22:38:10.409893 : Epoch  7, Batch   2579, Loss  0.871666, Average Loss  0.867557, Time  0.356561
2021-09-09 22:38:11.584802 : Epoch  2, Batch    317, Loss  0.625524, Average Loss  0.620035, Time  0.259392
2021-09-09 22:38:12.239775 : Epoch  7, Batch   2580, Loss  0.857967, Average Loss  0.867534, Time  0.402511
2021-09-09 22:38:13.488858 : Epoch  2, Batch    318, Loss  0.623237, Average Loss  0.620047, Time  0.264934
2021-09-09 22:38:14.118781 : Epoch  7, Batch   2581, Loss  0.905841, Average Loss  0.867860, Time  0.464945
2021-09-09 22:38:15.375836 : Epoch  2, Batch    319, Loss  0.628247, Average Loss  0.620018, Time  0.257907
2021-09-09 22:38:15.888778 : Epoch  7, Batch   2582, Loss  0.881503, Average Loss  0.867744, Time  0.340731
2021-09-09 22:38:17.277777 : Epoch  2, Batch    320, Loss  0.610690, Average Loss  0.619998, Time  0.260429
2021-09-09 22:38:17.680242 : Epoch  7, Batch   2583, Loss  0.883723, Average Loss  0.867914, Time  0.367069
2021-09-09 22:38:19.169182 : Epoch  2, Batch    321, Loss  0.618177, Average Loss  0.620019, Time  0.261282
2021-09-09 22:38:19.469762 : Epoch  7, Batch   2584, Loss  0.860428, Average Loss  0.867920, Time  0.355153
2021-09-09 22:38:21.042915 : Epoch  2, Batch    322, Loss  0.613964, Average Loss  0.619951, Time  0.261658
2021-09-09 22:38:21.340382 : Epoch  7, Batch   2585, Loss  0.869401, Average Loss  0.867908, Time  0.453662
2021-09-09 22:38:22.932782 : Epoch  2, Batch    323, Loss  0.613120, Average Loss  0.619934, Time  0.261361
2021-09-09 22:38:23.116233 : Epoch  7, Batch   2586, Loss  0.868971, Average Loss  0.867940, Time  0.352283
2021-09-09 22:38:24.813908 : Epoch  2, Batch    324, Loss  0.614560, Average Loss  0.619914, Time  0.267435
2021-09-09 22:38:24.908802 : Epoch  7, Batch   2587, Loss  0.884860, Average Loss  0.868003, Time  0.376211
2021-09-09 22:38:26.691887 : Epoch  2, Batch    325, Loss  0.606791, Average Loss  0.619840, Time  0.262226
2021-09-09 22:38:26.729868 : Epoch  7, Batch   2588, Loss  0.861573, Average Loss  0.867909, Time  0.366007
2021-09-09 22:38:28.569932 : Epoch  2, Batch    326, Loss  0.635131, Average Loss  0.619929, Time  0.263557
2021-09-09 22:38:28.646434 : Epoch  7, Batch   2589, Loss  0.861557, Average Loss  0.867950, Time  0.467883
2021-09-09 22:38:30.442841 : Epoch  2, Batch    327, Loss  0.605878, Average Loss  0.619892, Time  0.258725
2021-09-09 22:38:30.580815 : Epoch  7, Batch   2590, Loss  0.860348, Average Loss  0.867786, Time  0.491390
2021-09-09 22:38:32.360164 : Epoch  2, Batch    328, Loss  0.619209, Average Loss  0.619850, Time  0.259268
2021-09-09 22:38:32.397745 : Epoch  7, Batch   2591, Loss  0.846198, Average Loss  0.867675, Time  0.364386
2021-09-09 22:38:34.176785 : Epoch  7, Batch   2592, Loss  0.856674, Average Loss  0.867722, Time  0.375144
2021-09-09 22:38:34.238764 : Epoch  2, Batch    329, Loss  0.611480, Average Loss  0.619857, Time  0.261451
2021-09-09 22:38:36.007972 : Epoch  7, Batch   2593, Loss  0.858366, Average Loss  0.867648, Time  0.389616
2021-09-09 22:38:36.096763 : Epoch  2, Batch    330, Loss  0.605165, Average Loss  0.619761, Time  0.263525
2021-09-09 22:38:37.920681 : Epoch  7, Batch   2594, Loss  0.887643, Average Loss  0.867608, Time  0.454403
2021-09-09 22:38:37.956851 : Epoch  2, Batch    331, Loss  0.614066, Average Loss  0.619737, Time  0.258893
2021-09-09 22:38:39.715044 : Epoch  7, Batch   2595, Loss  0.850477, Average Loss  0.867598, Time  0.366681
2021-09-09 22:38:39.815131 : Epoch  2, Batch    332, Loss  0.616868, Average Loss  0.619752, Time  0.259428
2021-09-09 22:38:41.494780 : Epoch  7, Batch   2596, Loss  0.880693, Average Loss  0.867765, Time  0.356273
2021-09-09 22:38:41.679777 : Epoch  2, Batch    333, Loss  0.611193, Average Loss  0.619714, Time  0.258288
2021-09-09 22:38:43.276186 : Epoch  7, Batch   2597, Loss  0.888332, Average Loss  0.867736, Time  0.359156
2021-09-09 22:38:43.577826 : Epoch  2, Batch    334, Loss  0.623293, Average Loss  0.619754, Time  0.257939
2021-09-09 22:38:45.169938 : Epoch  7, Batch   2598, Loss  0.864179, Average Loss  0.867740, Time  0.464629
2021-09-09 22:38:45.484881 : Epoch  2, Batch    335, Loss  0.608721, Average Loss  0.619733, Time  0.257714
2021-09-09 22:38:47.070782 : Epoch  7, Batch   2599, Loss  0.880809, Average Loss  0.867811, Time  0.411532
2021-09-09 22:38:47.376049 : Epoch  2, Batch    336, Loss  0.604694, Average Loss  0.619653, Time  0.258102
2021-09-09 22:38:48.910016 : Epoch  7, Batch   2600, Loss  0.859770, Average Loss  0.867739, Time  0.360975
2021-09-09 22:38:49.395796 : Epoch  2, Batch    337, Loss  0.618365, Average Loss  0.619575, Time  0.258137
2021-09-09 22:38:50.695779 : Epoch  7, Batch   2601, Loss  0.823247, Average Loss  0.867693, Time  0.356936
2021-09-09 22:38:51.304054 : Epoch  2, Batch    338, Loss  0.610970, Average Loss  0.619464, Time  0.257976
2021-09-09 22:38:52.538818 : Epoch  7, Batch   2602, Loss  0.852268, Average Loss  0.867790, Time  0.416538
2021-09-09 22:38:53.179353 : Epoch  2, Batch    339, Loss  0.605320, Average Loss  0.619451, Time  0.260998
2021-09-09 22:38:54.416780 : Epoch  7, Batch   2603, Loss  0.866313, Average Loss  0.867932, Time  0.470611
2021-09-09 22:38:55.053111 : Epoch  2, Batch    340, Loss  0.622956, Average Loss  0.619471, Time  0.258193
2021-09-09 22:38:56.187127 : Epoch  7, Batch   2604, Loss  0.888091, Average Loss  0.868128, Time  0.356044
2021-09-09 22:38:56.929848 : Epoch  2, Batch    341, Loss  0.613908, Average Loss  0.619446, Time  0.261530
2021-09-09 22:38:57.986764 : Epoch  7, Batch   2605, Loss  0.887983, Average Loss  0.868219, Time  0.365987
2021-09-09 22:38:58.791811 : Epoch  2, Batch    342, Loss  0.616890, Average Loss  0.619374, Time  0.258862
2021-09-09 22:38:59.811135 : Epoch  7, Batch   2606, Loss  0.825421, Average Loss  0.868163, Time  0.384956
2021-09-09 22:39:00.680886 : Epoch  2, Batch    343, Loss  0.607550, Average Loss  0.619297, Time  0.266209
2021-09-09 22:39:01.696779 : Epoch  7, Batch   2607, Loss  0.865845, Average Loss  0.868186, Time  0.451514
2021-09-09 22:39:02.547740 : Epoch  2, Batch    344, Loss  0.605786, Average Loss  0.619225, Time  0.258021
2021-09-09 22:39:03.474777 : Epoch  7, Batch   2608, Loss  0.860690, Average Loss  0.868079, Time  0.357216
2021-09-09 22:39:04.434867 : Epoch  2, Batch    345, Loss  0.619730, Average Loss  0.619224, Time  0.258042
2021-09-09 22:39:05.312768 : Epoch  7, Batch   2609, Loss  0.890165, Average Loss  0.868324, Time  0.364691
2021-09-09 22:39:06.338888 : Epoch  2, Batch    346, Loss  0.622592, Average Loss  0.619208, Time  0.258759
2021-09-09 22:39:07.090177 : Epoch  7, Batch   2610, Loss  0.882678, Average Loss  0.868428, Time  0.361343
2021-09-09 22:39:08.264070 : Epoch  2, Batch    347, Loss  0.625408, Average Loss  0.619145, Time  0.267091
2021-09-09 22:39:08.998781 : Epoch  7, Batch   2611, Loss  0.850242, Average Loss  0.868259, Time  0.470560
2021-09-09 22:39:10.174869 : Epoch  2, Batch    348, Loss  0.615619, Average Loss  0.619127, Time  0.261913
2021-09-09 22:39:10.894781 : Epoch  7, Batch   2612, Loss  0.833916, Average Loss  0.868058, Time  0.455951
2021-09-09 22:39:12.054768 : Epoch  2, Batch    349, Loss  0.620038, Average Loss  0.619128, Time  0.261079
2021-09-09 22:39:12.697778 : Epoch  7, Batch   2613, Loss  0.866572, Average Loss  0.868047, Time  0.378159
2021-09-09 22:39:13.925908 : Epoch  2, Batch    350, Loss  0.623541, Average Loss  0.619155, Time  0.264562
2021-09-09 22:39:14.481121 : Epoch  7, Batch   2614, Loss  0.884744, Average Loss  0.868112, Time  0.358085
2021-09-09 22:39:15.815831 : Epoch  2, Batch    351, Loss  0.606670, Average Loss  0.619076, Time  0.264798
2021-09-09 22:39:16.335780 : Epoch  7, Batch   2615, Loss  0.883851, Average Loss  0.868305, Time  0.412731
2021-09-09 22:39:17.703812 : Epoch  2, Batch    352, Loss  0.616471, Average Loss  0.619087, Time  0.258218
2021-09-09 22:39:18.228615 : Epoch  7, Batch   2616, Loss  0.880979, Average Loss  0.868293, Time  0.459647
2021-09-09 22:39:19.609779 : Epoch  2, Batch    353, Loss  0.618121, Average Loss  0.619065, Time  0.258003
2021-09-09 22:39:20.008398 : Epoch  7, Batch   2617, Loss  0.823712, Average Loss  0.868093, Time  0.356977
2021-09-09 22:39:21.529674 : Epoch  2, Batch    354, Loss  0.617914, Average Loss  0.618983, Time  0.259195
2021-09-09 22:39:21.793767 : Epoch  7, Batch   2618, Loss  0.867891, Average Loss  0.868240, Time  0.363541
2021-09-09 22:39:23.385244 : Epoch  2, Batch    355, Loss  0.607811, Average Loss  0.618935, Time  0.258301
2021-09-09 22:39:23.573171 : Epoch  7, Batch   2619, Loss  0.864605, Average Loss  0.868145, Time  0.377907
2021-09-09 22:39:25.247265 : Epoch  2, Batch    356, Loss  0.619313, Average Loss  0.618916, Time  0.258189
2021-09-09 22:39:25.450139 : Epoch  7, Batch   2620, Loss  0.888356, Average Loss  0.868372, Time  0.453116
2021-09-09 22:39:27.138060 : Epoch  2, Batch    357, Loss  0.615413, Average Loss  0.618842, Time  0.258549
2021-09-09 22:39:27.235794 : Epoch  7, Batch   2621, Loss  0.867289, Average Loss  0.868403, Time  0.349948
2021-09-09 22:39:29.013000 : Epoch  7, Batch   2622, Loss  0.878238, Average Loss  0.868373, Time  0.357335
2021-09-09 22:39:29.066837 : Epoch  2, Batch    358, Loss  0.617367, Average Loss  0.618842, Time  0.258152
2021-09-09 22:39:30.807239 : Epoch  7, Batch   2623, Loss  0.841057, Average Loss  0.868209, Time  0.357773
2021-09-09 22:39:30.972844 : Epoch  2, Batch    359, Loss  0.616331, Average Loss  0.618873, Time  0.258102
2021-09-09 22:39:32.700975 : Epoch  7, Batch   2624, Loss  0.843669, Average Loss  0.868099, Time  0.452416
2021-09-09 22:39:32.889842 : Epoch  2, Batch    360, Loss  0.600689, Average Loss  0.618789, Time  0.258003
2021-09-09 22:39:34.568240 : Epoch  7, Batch   2625, Loss  0.860511, Average Loss  0.867876, Time  0.426093
2021-09-09 22:39:34.780044 : Epoch  2, Batch    361, Loss  0.613292, Average Loss  0.618751, Time  0.257942
2021-09-09 22:39:36.367792 : Epoch  7, Batch   2626, Loss  0.881171, Average Loss  0.867964, Time  0.359344
2021-09-09 22:39:36.665891 : Epoch  2, Batch    362, Loss  0.607726, Average Loss  0.618723, Time  0.260302
2021-09-09 22:39:38.132997 : Epoch  7, Batch   2627, Loss  0.860312, Average Loss  0.867822, Time  0.361038
2021-09-09 22:39:38.570942 : Epoch  2, Batch    363, Loss  0.607256, Average Loss  0.618692, Time  0.257892
2021-09-09 22:39:39.987802 : Epoch  7, Batch   2628, Loss  0.878868, Average Loss  0.867943, Time  0.432335
2021-09-09 22:39:40.449471 : Epoch  2, Batch    364, Loss  0.615186, Average Loss  0.618713, Time  0.257704
2021-09-09 22:39:41.858104 : Epoch  7, Batch   2629, Loss  0.882013, Average Loss  0.867834, Time  0.450970
2021-09-09 22:39:42.346061 : Epoch  2, Batch    365, Loss  0.615714, Average Loss  0.618669, Time  0.258031
2021-09-09 22:39:43.661876 : Epoch  7, Batch   2630, Loss  0.862973, Average Loss  0.867973, Time  0.356138
2021-09-09 22:39:44.247778 : Epoch  2, Batch    366, Loss  0.605173, Average Loss  0.618578, Time  0.258173
2021-09-09 22:39:45.481779 : Epoch  7, Batch   2631, Loss  0.861959, Average Loss  0.867901, Time  0.357016
2021-09-09 22:39:46.142083 : Epoch  2, Batch    367, Loss  0.610539, Average Loss  0.618539, Time  0.258915
2021-09-09 22:39:47.311782 : Epoch  7, Batch   2632, Loss  0.872567, Average Loss  0.867810, Time  0.363988
2021-09-09 22:39:48.036814 : Epoch  2, Batch    368, Loss  0.610188, Average Loss  0.618437, Time  0.266030
2021-09-09 22:39:49.199820 : Epoch  7, Batch   2633, Loss  0.861727, Average Loss  0.867635, Time  0.452622
2021-09-09 22:39:49.934098 : Epoch  2, Batch    369, Loss  0.614146, Average Loss  0.618418, Time  0.264395
2021-09-09 22:39:51.047809 : Epoch  7, Batch   2634, Loss  0.884914, Average Loss  0.867505, Time  0.399368
2021-09-09 22:39:51.853096 : Epoch  2, Batch    370, Loss  0.614958, Average Loss  0.618358, Time  0.261493
2021-09-09 22:39:53.789535 : Epoch  2, Batch    371, Loss  0.625037, Average Loss  0.618365, Time  0.261407
2021-09-09 22:39:55.707216 : Epoch  2, Batch    372, Loss  0.620151, Average Loss  0.618420, Time  0.261199
2021-09-09 22:39:57.607799 : Epoch  2, Batch    373, Loss  0.615626, Average Loss  0.618404, Time  0.264209
2021-09-09 22:39:59.485871 : Epoch  2, Batch    374, Loss  0.605856, Average Loss  0.618362, Time  0.262136
2021-09-09 22:40:01.380083 : Epoch  2, Batch    375, Loss  0.622382, Average Loss  0.618357, Time  0.261497
2021-09-09 22:40:03.245415 : Epoch  2, Batch    376, Loss  0.624020, Average Loss  0.618344, Time  0.258865
2021-09-09 22:40:05.128983 : Epoch  2, Batch    377, Loss  0.611661, Average Loss  0.618289, Time  0.264514
2021-09-09 22:40:07.019878 : Epoch  2, Batch    378, Loss  0.615514, Average Loss  0.618278, Time  0.258807
2021-09-09 22:40:08.892779 : Epoch  2, Batch    379, Loss  0.611993, Average Loss  0.618199, Time  0.258224
2021-09-09 22:40:10.787083 : Epoch  2, Batch    380, Loss  0.607544, Average Loss  0.618137, Time  0.264773
2021-09-09 22:40:12.675137 : Epoch  2, Batch    381, Loss  0.612293, Average Loss  0.618127, Time  0.264341
2021-09-09 22:40:14.551670 : Epoch  2, Batch    382, Loss  0.599566, Average Loss  0.618017, Time  0.258005
2021-09-09 22:40:16.424135 : Epoch  2, Batch    383, Loss  0.602793, Average Loss  0.617962, Time  0.262859
2021-09-09 22:40:20.450947 : Epoch  2, Batch    384, Loss  0.611036, Average Loss  0.617898, Time  0.268792
2021-09-09 22:40:22.350139 : Epoch  2, Batch    385, Loss  0.617453, Average Loss  0.617834, Time  0.258545
2021-09-09 22:40:24.262789 : Epoch  2, Batch    386, Loss  0.597226, Average Loss  0.617754, Time  0.258325
2021-09-09 22:40:26.157092 : Epoch  2, Batch    387, Loss  0.606874, Average Loss  0.617666, Time  0.261311
2021-09-09 22:40:28.038760 : Epoch  2, Batch    388, Loss  0.621200, Average Loss  0.617672, Time  0.262513
2021-09-09 22:40:29.933799 : Epoch  2, Batch    389, Loss  0.608764, Average Loss  0.617588, Time  0.258245
2021-09-09 22:40:31.838859 : Epoch  2, Batch    390, Loss  0.607808, Average Loss  0.617520, Time  0.259026
2021-09-09 22:40:33.744100 : Epoch  2, Batch    391, Loss  0.599911, Average Loss  0.617413, Time  0.264149
2021-09-09 22:40:35.636826 : Epoch  2, Batch    392, Loss  0.611017, Average Loss  0.617358, Time  0.258196
2021-09-09 22:40:37.549087 : Epoch  2, Batch    393, Loss  0.620744, Average Loss  0.617363, Time  0.257964
2021-09-09 22:40:39.466832 : Epoch  2, Batch    394, Loss  0.620712, Average Loss  0.617410, Time  0.257915
2021-09-09 22:40:41.388046 : Epoch  2, Batch    395, Loss  0.615108, Average Loss  0.617389, Time  0.258105
2021-09-09 22:40:43.275942 : Epoch  2, Batch    396, Loss  0.602807, Average Loss  0.617271, Time  0.257511
2021-09-09 22:40:45.171084 : Epoch  2, Batch    397, Loss  0.605893, Average Loss  0.617199, Time  0.258547
2021-09-09 22:40:47.084868 : Epoch  2, Batch    398, Loss  0.619410, Average Loss  0.617157, Time  0.276201
2021-09-09 22:40:49.025072 : Epoch  2, Batch    399, Loss  0.611631, Average Loss  0.617089, Time  0.264717
2021-09-09 22:40:50.928807 : Epoch  2, Batch    400, Loss  0.614412, Average Loss  0.617082, Time  0.258276
2021-09-09 22:40:52.807811 : Epoch  2, Batch    401, Loss  0.622909, Average Loss  0.617083, Time  0.262630
2021-09-09 22:40:54.688773 : Epoch  2, Batch    402, Loss  0.607402, Average Loss  0.617036, Time  0.259274
2021-09-09 22:40:56.581875 : Epoch  2, Batch    403, Loss  0.606131, Average Loss  0.616981, Time  0.264180
2021-09-09 22:40:58.452784 : Epoch  2, Batch    404, Loss  0.619926, Average Loss  0.617024, Time  0.258412
2021-09-09 22:41:00.343805 : Epoch  2, Batch    405, Loss  0.594492, Average Loss  0.616937, Time  0.258956
2021-09-09 22:41:02.238759 : Epoch  2, Batch    406, Loss  0.621433, Average Loss  0.617019, Time  0.258382
2021-09-09 22:41:04.151080 : Epoch  2, Batch    407, Loss  0.624711, Average Loss  0.617074, Time  0.267015
2021-09-09 22:41:06.077821 : Epoch  2, Batch    408, Loss  0.620476, Average Loss  0.617034, Time  0.270758
2021-09-09 22:41:07.970910 : Epoch  2, Batch    409, Loss  0.618988, Average Loss  0.617039, Time  0.258019
2021-09-09 22:41:09.873912 : Epoch  2, Batch    410, Loss  0.616727, Average Loss  0.617046, Time  0.258175
2021-09-09 22:41:11.776829 : Epoch  2, Batch    411, Loss  0.601900, Average Loss  0.616986, Time  0.258459
2021-09-09 22:41:13.683923 : Epoch  2, Batch    412, Loss  0.608901, Average Loss  0.616881, Time  0.257793
2021-09-09 22:41:15.595899 : Epoch  2, Batch    413, Loss  0.598846, Average Loss  0.616760, Time  0.258714
2021-09-09 22:42:25.291731 : CheckPoint: Validation Loss  0.00025989, Best Loss  0.00025261
2021-09-09 22:42:27.195046 : Epoch  2, Batch    414, Loss  0.617436, Average Loss  0.616767, Time  0.263373
2021-09-09 22:42:29.105802 : Epoch  2, Batch    415, Loss  0.606589, Average Loss  0.616704, Time  0.257951
2021-09-09 22:42:31.007835 : Epoch  2, Batch    416, Loss  0.614616, Average Loss  0.616666, Time  0.257744
2021-09-09 22:42:32.916824 : Epoch  2, Batch    417, Loss  0.612943, Average Loss  0.616590, Time  0.261491
2021-09-09 22:42:34.792865 : Epoch  2, Batch    418, Loss  0.604421, Average Loss  0.616461, Time  0.262184
2021-09-09 22:42:36.677770 : Epoch  2, Batch    419, Loss  0.617976, Average Loss  0.616451, Time  0.258438
2021-09-09 22:42:38.566971 : Epoch  2, Batch    420, Loss  0.615966, Average Loss  0.616468, Time  0.258326
2021-09-09 22:42:40.461760 : Epoch  2, Batch    421, Loss  0.609399, Average Loss  0.616484, Time  0.262362
2021-09-09 22:42:42.370772 : Epoch  2, Batch    422, Loss  0.602763, Average Loss  0.616388, Time  0.260064
2021-09-09 22:42:44.250075 : Epoch  2, Batch    423, Loss  0.629692, Average Loss  0.616408, Time  0.264142
2021-09-09 22:42:46.117725 : Epoch  2, Batch    424, Loss  0.603510, Average Loss  0.616351, Time  0.258352
2021-09-09 22:42:47.998883 : Epoch  2, Batch    425, Loss  0.616430, Average Loss  0.616355, Time  0.260520
2021-09-09 22:42:49.892772 : Epoch  2, Batch    426, Loss  0.611614, Average Loss  0.616286, Time  0.258316
2021-09-09 22:42:51.801758 : Epoch  2, Batch    427, Loss  0.614337, Average Loss  0.616274, Time  0.258200
2021-09-09 22:42:53.714065 : Epoch  2, Batch    428, Loss  0.612532, Average Loss  0.616294, Time  0.258078
2021-09-09 22:42:55.630073 : Epoch  2, Batch    429, Loss  0.605361, Average Loss  0.616230, Time  0.258039
2021-09-09 22:42:57.516039 : Epoch  2, Batch    430, Loss  0.622625, Average Loss  0.616236, Time  0.258394
2021-09-09 22:42:59.392962 : Epoch  2, Batch    431, Loss  0.605314, Average Loss  0.616135, Time  0.262637
2021-09-09 22:43:01.261807 : Epoch  2, Batch    432, Loss  0.611015, Average Loss  0.616128, Time  0.261624
2021-09-09 22:43:03.129093 : Epoch  2, Batch    433, Loss  0.615394, Average Loss  0.616137, Time  0.262605
2021-09-09 22:43:05.027806 : Epoch  2, Batch    434, Loss  0.615268, Average Loss  0.616099, Time  0.261761
2021-09-09 22:43:06.912897 : Epoch  2, Batch    435, Loss  0.602430, Average Loss  0.616028, Time  0.263270
2021-09-09 22:43:08.808092 : Epoch  2, Batch    436, Loss  0.612896, Average Loss  0.615942, Time  0.258721
2021-09-09 22:43:10.713844 : Epoch  2, Batch    437, Loss  0.607349, Average Loss  0.615892, Time  0.259370
2021-09-09 22:43:12.598101 : Epoch  2, Batch    438, Loss  0.617516, Average Loss  0.615933, Time  0.258060
2021-09-09 22:43:14.485855 : Epoch  2, Batch    439, Loss  0.604386, Average Loss  0.615869, Time  0.258584
2021-09-09 22:43:16.361827 : Epoch  2, Batch    440, Loss  0.611480, Average Loss  0.615855, Time  0.258908
2021-09-09 22:43:18.252120 : Epoch  2, Batch    441, Loss  0.616266, Average Loss  0.615865, Time  0.258479
2021-09-09 22:43:20.144833 : Epoch  2, Batch    442, Loss  0.623389, Average Loss  0.615869, Time  0.266741
2021-09-09 22:43:22.048084 : Epoch  2, Batch    443, Loss  0.606801, Average Loss  0.615794, Time  0.262281
2021-09-09 22:43:23.946087 : Epoch  2, Batch    444, Loss  0.603810, Average Loss  0.615743, Time  0.258425
2021-09-09 22:43:25.855080 : Epoch  2, Batch    445, Loss  0.606065, Average Loss  0.615686, Time  0.264154
2021-09-09 22:43:27.747815 : Epoch  2, Batch    446, Loss  0.605247, Average Loss  0.615624, Time  0.262187
2021-09-09 22:43:29.656914 : Epoch  2, Batch    447, Loss  0.617746, Average Loss  0.615650, Time  0.266670
2021-09-09 22:43:31.565796 : Epoch  2, Batch    448, Loss  0.603098, Average Loss  0.615587, Time  0.266067
2021-09-09 22:43:33.479552 : Epoch  2, Batch    449, Loss  0.619599, Average Loss  0.615602, Time  0.258390
2021-09-09 22:43:35.360826 : Epoch  2, Batch    450, Loss  0.604489, Average Loss  0.615516, Time  0.261310
2021-09-09 22:43:37.271117 : Epoch  2, Batch    451, Loss  0.612570, Average Loss  0.615609, Time  0.265689
2021-09-09 22:43:39.172082 : Epoch  2, Batch    452, Loss  0.618461, Average Loss  0.615616, Time  0.264699
2021-09-09 22:43:41.047090 : Epoch  2, Batch    453, Loss  0.609425, Average Loss  0.615573, Time  0.259194
2021-09-09 22:43:42.939830 : Epoch  2, Batch    454, Loss  0.611221, Average Loss  0.615533, Time  0.261209
2021-09-09 22:43:44.812805 : Epoch  2, Batch    455, Loss  0.604663, Average Loss  0.615518, Time  0.262504
2021-09-09 22:43:46.682890 : Epoch  2, Batch    456, Loss  0.604855, Average Loss  0.615507, Time  0.264482
2021-09-09 22:43:48.580868 : Epoch  2, Batch    457, Loss  0.613980, Average Loss  0.615556, Time  0.262026
2021-09-09 22:43:50.473871 : Epoch  2, Batch    458, Loss  0.601700, Average Loss  0.615478, Time  0.259157
2021-09-09 22:43:52.371079 : Epoch  2, Batch    459, Loss  0.612618, Average Loss  0.615463, Time  0.257999
2021-09-09 22:43:54.259931 : Epoch  2, Batch    460, Loss  0.614313, Average Loss  0.615463, Time  0.266591
2021-09-09 22:43:56.140813 : Epoch  2, Batch    461, Loss  0.620315, Average Loss  0.615497, Time  0.259158
2021-09-09 22:43:58.021814 : Epoch  2, Batch    462, Loss  0.607122, Average Loss  0.615435, Time  0.266510
2021-09-09 22:43:59.893092 : Epoch  2, Batch    463, Loss  0.606037, Average Loss  0.615377, Time  0.258718
2021-09-09 22:44:01.806090 : Epoch  2, Batch    464, Loss  0.595159, Average Loss  0.615193, Time  0.257869
2021-09-09 22:44:03.680896 : Epoch  2, Batch    465, Loss  0.609288, Average Loss  0.615145, Time  0.259388
2021-09-09 22:44:05.547792 : Epoch  2, Batch    466, Loss  0.610343, Average Loss  0.615143, Time  0.262637
2021-09-09 22:44:07.444084 : Epoch  2, Batch    467, Loss  0.619227, Average Loss  0.615151, Time  0.269448
2021-09-09 22:44:09.336044 : Epoch  2, Batch    468, Loss  0.618617, Average Loss  0.615172, Time  0.258760
2021-09-09 22:44:11.264089 : Epoch  2, Batch    469, Loss  0.607384, Average Loss  0.615112, Time  0.258262
2021-09-09 22:44:13.169782 : Epoch  2, Batch    470, Loss  0.607040, Average Loss  0.615093, Time  0.267176
2021-09-09 22:44:15.065819 : Epoch  2, Batch    471, Loss  0.611715, Average Loss  0.615061, Time  0.258176
2021-09-09 22:44:16.953878 : Epoch  2, Batch    472, Loss  0.603981, Average Loss  0.615006, Time  0.260725
2021-09-09 22:44:18.828108 : Epoch  2, Batch    473, Loss  0.618712, Average Loss  0.615000, Time  0.258273
2021-09-09 22:44:20.702798 : Epoch  2, Batch    474, Loss  0.608732, Average Loss  0.614941, Time  0.263875
2021-09-09 22:44:22.592882 : Epoch  2, Batch    475, Loss  0.614021, Average Loss  0.614889, Time  0.258228
2021-09-09 22:44:24.473083 : Epoch  2, Batch    476, Loss  0.621803, Average Loss  0.614899, Time  0.258083
2021-09-09 22:44:26.359091 : Epoch  2, Batch    477, Loss  0.619844, Average Loss  0.614905, Time  0.257997
2021-09-09 22:44:28.263913 : Epoch  2, Batch    478, Loss  0.618887, Average Loss  0.614891, Time  0.258967
2021-09-09 22:44:30.153895 : Epoch  2, Batch    479, Loss  0.617251, Average Loss  0.614850, Time  0.264300
2021-09-09 22:44:32.051090 : Epoch  2, Batch    480, Loss  0.621115, Average Loss  0.614840, Time  0.264604
2021-09-09 22:44:33.942400 : Epoch  2, Batch    481, Loss  0.615152, Average Loss  0.614867, Time  0.258380
2021-09-09 22:44:35.838818 : Epoch  2, Batch    482, Loss  0.612554, Average Loss  0.614840, Time  0.259028
2021-09-09 22:44:37.743763 : Epoch  2, Batch    483, Loss  0.600590, Average Loss  0.614737, Time  0.257955
2021-09-09 22:44:41.754838 : Epoch  2, Batch    484, Loss  0.605279, Average Loss  0.614707, Time  0.271367
2021-09-09 22:44:42.005725 : CheckPoint: Validation Loss  0.00062472, Best Loss  0.00056427
2021-09-09 22:44:43.648838 : Epoch  2, Batch    485, Loss  0.617987, Average Loss  0.614747, Time  0.260863
2021-09-09 22:44:43.788773 : Epoch  7, Batch   2635, Loss  0.875225, Average Loss  0.867569, Time  0.364312
2021-09-09 22:44:45.530642 : Epoch  2, Batch    486, Loss  0.609495, Average Loss  0.614712, Time  0.258053
2021-09-09 22:44:45.591844 : Epoch  7, Batch   2636, Loss  0.834617, Average Loss  0.867577, Time  0.363092
2021-09-09 22:44:47.407648 : Epoch  2, Batch    487, Loss  0.610661, Average Loss  0.614682, Time  0.261872
2021-09-09 22:44:47.507764 : Epoch  7, Batch   2637, Loss  0.886945, Average Loss  0.867681, Time  0.454711
2021-09-09 22:44:49.292853 : Epoch  2, Batch    488, Loss  0.598944, Average Loss  0.614561, Time  0.262677
2021-09-09 22:44:49.358784 : Epoch  7, Batch   2638, Loss  0.827572, Average Loss  0.867409, Time  0.448342
2021-09-09 22:44:51.151795 : Epoch  7, Batch   2639, Loss  0.874510, Average Loss  0.867227, Time  0.379931
2021-09-09 22:44:51.191860 : Epoch  2, Batch    489, Loss  0.607684, Average Loss  0.614537, Time  0.258818
2021-09-09 22:44:52.939184 : Epoch  7, Batch   2640, Loss  0.880390, Average Loss  0.867308, Time  0.357310
2021-09-09 22:44:53.106462 : Epoch  2, Batch    490, Loss  0.617905, Average Loss  0.614540, Time  0.258517
2021-09-09 22:44:54.759831 : Epoch  7, Batch   2641, Loss  0.885160, Average Loss  0.867393, Time  0.404783
2021-09-09 22:44:55.006068 : Epoch  2, Batch    491, Loss  0.609772, Average Loss  0.614517, Time  0.258132
2021-09-09 22:44:56.657795 : Epoch  7, Batch   2642, Loss  0.872878, Average Loss  0.867352, Time  0.464402
2021-09-09 22:44:56.901073 : Epoch  2, Batch    492, Loss  0.615540, Average Loss  0.614493, Time  0.267691
2021-09-09 22:44:58.447957 : Epoch  7, Batch   2643, Loss  0.884494, Average Loss  0.867417, Time  0.363221
2021-09-09 22:44:58.777778 : Epoch  2, Batch    493, Loss  0.619064, Average Loss  0.614492, Time  0.258513
2021-09-09 22:45:00.237849 : Epoch  7, Batch   2644, Loss  0.840892, Average Loss  0.867321, Time  0.357169
2021-09-09 22:45:00.648807 : Epoch  2, Batch    494, Loss  0.618570, Average Loss  0.614492, Time  0.261958
2021-09-09 22:45:02.042781 : Epoch  7, Batch   2645, Loss  0.864471, Average Loss  0.867189, Time  0.376160
2021-09-09 22:45:02.520090 : Epoch  2, Batch    495, Loss  0.611271, Average Loss  0.614477, Time  0.258154
2021-09-09 22:45:03.945768 : Epoch  7, Batch   2646, Loss  0.877246, Average Loss  0.867124, Time  0.470957
2021-09-09 22:45:04.406831 : Epoch  2, Batch    496, Loss  0.607833, Average Loss  0.614429, Time  0.268861
2021-09-09 22:45:05.737410 : Epoch  7, Batch   2647, Loss  0.866746, Average Loss  0.867129, Time  0.358093
2021-09-09 22:45:06.319796 : Epoch  2, Batch    497, Loss  0.601924, Average Loss  0.614335, Time  0.266893
2021-09-09 22:45:07.530766 : Epoch  7, Batch   2648, Loss  0.861185, Average Loss  0.867209, Time  0.363173
2021-09-09 22:45:08.237088 : Epoch  2, Batch    498, Loss  0.604665, Average Loss  0.613524, Time  0.258399
2021-09-09 22:45:09.386788 : Epoch  7, Batch   2649, Loss  0.864405, Average Loss  0.867195, Time  0.361361
2021-09-09 22:45:10.136816 : Epoch  2, Batch    499, Loss  0.603785, Average Loss  0.613399, Time  0.262367
2021-09-09 22:45:11.323785 : Epoch  7, Batch   2650, Loss  0.880879, Average Loss  0.867228, Time  0.449265
2021-09-09 22:45:12.077091 : Epoch  2, Batch    500, Loss  0.600274, Average Loss  0.613311, Time  0.258322
2021-09-09 22:45:13.209798 : Epoch  7, Batch   2651, Loss  0.867195, Average Loss  0.867270, Time  0.420524
2021-09-09 22:45:13.965814 : Epoch  2, Batch    501, Loss  0.606767, Average Loss  0.613208, Time  0.258594
2021-09-09 22:45:14.991127 : Epoch  7, Batch   2652, Loss  0.858295, Average Loss  0.867243, Time  0.360261
2021-09-09 22:45:15.851093 : Epoch  2, Batch    502, Loss  0.620658, Average Loss  0.613169, Time  0.259395
2021-09-09 22:45:16.803136 : Epoch  7, Batch   2653, Loss  0.874393, Average Loss  0.867247, Time  0.367058
2021-09-09 22:45:17.746849 : Epoch  2, Batch    503, Loss  0.608248, Average Loss  0.613090, Time  0.258245
2021-09-09 22:45:18.664925 : Epoch  7, Batch   2654, Loss  0.848430, Average Loss  0.867124, Time  0.427595
2021-09-09 22:45:19.661771 : Epoch  2, Batch    504, Loss  0.619485, Average Loss  0.613037, Time  0.266841
2021-09-09 22:45:20.489855 : Epoch  7, Batch   2655, Loss  0.896057, Average Loss  0.867419, Time  0.418529
2021-09-09 22:45:21.564854 : Epoch  2, Batch    505, Loss  0.607393, Average Loss  0.613004, Time  0.267995
2021-09-09 22:45:22.332787 : Epoch  7, Batch   2656, Loss  0.849852, Average Loss  0.867421, Time  0.365008
2021-09-09 22:45:23.473169 : Epoch  2, Batch    506, Loss  0.601002, Average Loss  0.612908, Time  0.266600
2021-09-09 22:45:24.155782 : Epoch  7, Batch   2657, Loss  0.886504, Average Loss  0.867435, Time  0.376783
2021-09-09 22:45:25.400787 : Epoch  2, Batch    507, Loss  0.609140, Average Loss  0.612831, Time  0.266646
2021-09-09 22:45:26.009774 : Epoch  7, Batch   2658, Loss  0.843051, Average Loss  0.867396, Time  0.411836
2021-09-09 22:45:27.327836 : Epoch  2, Batch    508, Loss  0.604347, Average Loss  0.612693, Time  0.259501
2021-09-09 22:45:27.798134 : Epoch  7, Batch   2659, Loss  0.881613, Average Loss  0.867498, Time  0.361859
2021-09-09 22:45:29.214794 : Epoch  2, Batch    509, Loss  0.614610, Average Loss  0.612622, Time  0.259742
2021-09-09 22:45:29.649773 : Epoch  7, Batch   2660, Loss  0.915432, Average Loss  0.867663, Time  0.415992
2021-09-09 22:45:31.125284 : Epoch  2, Batch    510, Loss  0.608631, Average Loss  0.612556, Time  0.258467
2021-09-09 22:45:31.572895 : Epoch  7, Batch   2661, Loss  0.852292, Average Loss  0.867623, Time  0.450216
2021-09-09 22:45:33.013845 : Epoch  2, Batch    511, Loss  0.608790, Average Loss  0.612507, Time  0.260314
2021-09-09 22:45:33.375774 : Epoch  7, Batch   2662, Loss  0.860152, Average Loss  0.867495, Time  0.356776
2021-09-09 22:45:34.900177 : Epoch  2, Batch    512, Loss  0.605508, Average Loss  0.612397, Time  0.258953
2021-09-09 22:45:35.179121 : Epoch  7, Batch   2663, Loss  0.891311, Average Loss  0.867881, Time  0.370824
2021-09-09 22:45:36.791104 : Epoch  2, Batch    513, Loss  0.606402, Average Loss  0.612360, Time  0.258541
2021-09-09 22:45:36.994791 : Epoch  7, Batch   2664, Loss  0.853638, Average Loss  0.867790, Time  0.386082
2021-09-09 22:45:38.907454 : Epoch  7, Batch   2665, Loss  0.846383, Average Loss  0.867625, Time  0.475208
2021-09-09 22:45:40.710747 : Epoch  7, Batch   2666, Loss  0.822751, Average Loss  0.867442, Time  0.363142
2021-09-09 22:45:42.510900 : Epoch  7, Batch   2667, Loss  0.891323, Average Loss  0.867557, Time  0.359353
2021-09-09 22:45:44.336779 : Epoch  7, Batch   2668, Loss  0.852125, Average Loss  0.867618, Time  0.362977
2021-09-09 22:45:46.224775 : Epoch  7, Batch   2669, Loss  0.861176, Average Loss  0.867651, Time  0.465466
2021-09-09 22:45:48.109783 : Epoch  7, Batch   2670, Loss  0.880985, Average Loss  0.867595, Time  0.447455
2021-09-09 22:45:49.916814 : Epoch  7, Batch   2671, Loss  0.867792, Average Loss  0.867515, Time  0.359736
2021-09-09 22:45:51.688911 : Epoch  7, Batch   2672, Loss  0.885843, Average Loss  0.867723, Time  0.356833
2021-09-09 22:45:53.513780 : Epoch  7, Batch   2673, Loss  0.849380, Average Loss  0.867502, Time  0.400172
2021-09-09 22:45:55.431785 : Epoch  7, Batch   2674, Loss  0.840931, Average Loss  0.867390, Time  0.458178
2021-09-09 22:45:57.265779 : Epoch  7, Batch   2675, Loss  0.871613, Average Loss  0.867382, Time  0.403158
2021-09-09 22:45:59.073891 : Epoch  7, Batch   2676, Loss  0.836111, Average Loss  0.867257, Time  0.358445
2021-09-09 22:46:00.851779 : Epoch  7, Batch   2677, Loss  0.858931, Average Loss  0.867124, Time  0.358772
2021-09-09 22:46:02.716782 : Epoch  7, Batch   2678, Loss  0.834935, Average Loss  0.866985, Time  0.443717
2021-09-09 22:46:04.613773 : Epoch  7, Batch   2679, Loss  0.893899, Average Loss  0.867269, Time  0.454964
2021-09-09 22:46:06.403887 : Epoch  7, Batch   2680, Loss  0.880154, Average Loss  0.867312, Time  0.365739
2021-09-09 22:46:08.217114 : Epoch  7, Batch   2681, Loss  0.849915, Average Loss  0.867161, Time  0.366003
2021-09-09 22:46:10.004717 : Epoch  7, Batch   2682, Loss  0.884800, Average Loss  0.867234, Time  0.380122
2021-09-09 22:46:11.878136 : Epoch  7, Batch   2683, Loss  0.866284, Average Loss  0.867240, Time  0.456930
2021-09-09 22:46:13.656781 : Epoch  7, Batch   2684, Loss  0.849094, Average Loss  0.867165, Time  0.367143
2021-09-09 22:46:15.469772 : Epoch  7, Batch   2685, Loss  0.871037, Average Loss  0.867145, Time  0.363832
2021-09-09 22:46:17.314781 : Epoch  7, Batch   2686, Loss  0.877017, Average Loss  0.867135, Time  0.380482
2021-09-09 22:46:19.217765 : Epoch  7, Batch   2687, Loss  0.859281, Average Loss  0.867087, Time  0.454109
2021-09-09 22:46:21.115780 : Epoch  7, Batch   2688, Loss  0.854475, Average Loss  0.867038, Time  0.439501
2021-09-09 22:46:22.925787 : Epoch  7, Batch   2689, Loss  0.883489, Average Loss  0.866988, Time  0.365590
2021-09-09 22:46:24.705787 : Epoch  7, Batch   2690, Loss  0.873074, Average Loss  0.866984, Time  0.360437
2021-09-09 22:46:26.562490 : Epoch  7, Batch   2691, Loss  0.863149, Average Loss  0.866895, Time  0.421215
2021-09-09 22:46:28.481775 : Epoch  7, Batch   2692, Loss  0.866749, Average Loss  0.866934, Time  0.467877
2021-09-09 22:46:30.235780 : Epoch  7, Batch   2693, Loss  0.860924, Average Loss  0.866911, Time  0.338091
2021-09-09 22:46:32.022777 : Epoch  7, Batch   2694, Loss  0.869970, Average Loss  0.866952, Time  0.357967
2021-09-09 22:46:33.821783 : Epoch  7, Batch   2695, Loss  0.859982, Average Loss  0.866940, Time  0.366390
2021-09-09 22:46:35.719788 : Epoch  7, Batch   2696, Loss  0.861120, Average Loss  0.866870, Time  0.455974
2021-09-09 22:46:37.513778 : Epoch  7, Batch   2697, Loss  0.884488, Average Loss  0.867115, Time  0.366503
2021-09-09 22:46:39.302631 : Epoch  7, Batch   2698, Loss  0.865135, Average Loss  0.867104, Time  0.373049
2021-09-09 22:46:41.091779 : Epoch  7, Batch   2699, Loss  0.883999, Average Loss  0.867207, Time  0.358806
2021-09-09 22:46:42.993785 : Epoch  7, Batch   2700, Loss  0.863352, Average Loss  0.867168, Time  0.460423
2021-09-09 22:46:44.876780 : Epoch  7, Batch   2701, Loss  0.850592, Average Loss  0.867146, Time  0.453461
2021-09-09 22:46:46.581740 : CheckPoint: Validation Loss  0.00025289, Best Loss  0.00025261
2021-09-09 22:46:46.767773 : Epoch  7, Batch   2702, Loss  0.909776, Average Loss  0.867353, Time  0.442465
2021-09-09 22:46:48.525948 : Epoch  2, Batch    514, Loss  0.611999, Average Loss  0.612324, Time  0.267986
2021-09-09 22:46:48.561579 : Epoch  7, Batch   2703, Loss  0.873366, Average Loss  0.867482, Time  0.357488
2021-09-09 22:46:50.365827 : Epoch  7, Batch   2704, Loss  0.862459, Average Loss  0.867410, Time  0.377626
2021-09-09 22:46:50.416831 : Epoch  2, Batch    515, Loss  0.608177, Average Loss  0.612297, Time  0.271550
2021-09-09 22:46:52.246655 : Epoch  7, Batch   2705, Loss  0.842096, Average Loss  0.867372, Time  0.459500
2021-09-09 22:46:52.317775 : Epoch  2, Batch    516, Loss  0.608212, Average Loss  0.612224, Time  0.259804
2021-09-09 22:46:54.028025 : Epoch  7, Batch   2706, Loss  0.883917, Average Loss  0.867414, Time  0.357129
2021-09-09 22:46:54.203218 : Epoch  2, Batch    517, Loss  0.610856, Average Loss  0.612150, Time  0.258308
2021-09-09 22:46:55.824261 : Epoch  7, Batch   2707, Loss  0.878928, Average Loss  0.867419, Time  0.362629
2021-09-09 22:46:56.083795 : Epoch  2, Batch    518, Loss  0.610910, Average Loss  0.612089, Time  0.261214
2021-09-09 22:46:57.641793 : Epoch  7, Batch   2708, Loss  0.867389, Average Loss  0.867349, Time  0.395511
2021-09-09 22:46:57.984085 : Epoch  2, Batch    519, Loss  0.609268, Average Loss  0.611994, Time  0.261700
2021-09-09 22:46:59.534121 : Epoch  7, Batch   2709, Loss  0.868709, Average Loss  0.867433, Time  0.463437
2021-09-09 22:46:59.884793 : Epoch  2, Batch    520, Loss  0.612383, Average Loss  0.612002, Time  0.259577
2021-09-09 22:47:01.352817 : Epoch  7, Batch   2710, Loss  0.859401, Average Loss  0.867385, Time  0.373962
2021-09-09 22:47:01.779066 : Epoch  2, Batch    521, Loss  0.615148, Average Loss  0.611987, Time  0.258348
2021-09-09 22:47:03.129809 : Epoch  7, Batch   2711, Loss  0.844096, Average Loss  0.867250, Time  0.364902
2021-09-09 22:47:03.666870 : Epoch  2, Batch    522, Loss  0.610570, Average Loss  0.611970, Time  0.261856
2021-09-09 22:47:04.908868 : Epoch  7, Batch   2712, Loss  0.851565, Average Loss  0.866887, Time  0.358584
2021-09-09 22:47:05.579909 : Epoch  2, Batch    523, Loss  0.612922, Average Loss  0.611969, Time  0.258039
2021-09-09 22:47:06.794770 : Epoch  7, Batch   2713, Loss  0.866817, Average Loss  0.866963, Time  0.456428
2021-09-09 22:47:07.501813 : Epoch  2, Batch    524, Loss  0.599387, Average Loss  0.611893, Time  0.282803
2021-09-09 22:47:08.680293 : Epoch  7, Batch   2714, Loss  0.861456, Average Loss  0.866859, Time  0.452053
2021-09-09 22:47:09.381442 : Epoch  2, Batch    525, Loss  0.611275, Average Loss  0.611916, Time  0.258478
2021-09-09 22:47:10.471782 : Epoch  7, Batch   2715, Loss  0.934309, Average Loss  0.867218, Time  0.372727
2021-09-09 22:47:11.258609 : Epoch  2, Batch    526, Loss  0.610186, Average Loss  0.611791, Time  0.259022
2021-09-09 22:47:12.267126 : Epoch  7, Batch   2716, Loss  0.866924, Average Loss  0.867099, Time  0.362620
2021-09-09 22:47:13.160979 : Epoch  2, Batch    527, Loss  0.603305, Average Loss  0.611778, Time  0.264077
2021-09-09 22:47:14.119873 : Epoch  7, Batch   2717, Loss  0.890503, Average Loss  0.867325, Time  0.405765
2021-09-09 22:47:15.067919 : Epoch  2, Batch    528, Loss  0.611282, Average Loss  0.611738, Time  0.258591
2021-09-09 22:47:16.004158 : Epoch  7, Batch   2718, Loss  0.851424, Average Loss  0.867338, Time  0.464185
2021-09-09 22:47:16.961074 : Epoch  2, Batch    529, Loss  0.608596, Average Loss  0.611724, Time  0.274990
2021-09-09 22:47:17.803795 : Epoch  7, Batch   2719, Loss  0.866196, Average Loss  0.867210, Time  0.340953
2021-09-09 22:47:18.862798 : Epoch  2, Batch    530, Loss  0.613984, Average Loss  0.611768, Time  0.263953
2021-09-09 22:47:19.618766 : Epoch  7, Batch   2720, Loss  0.892030, Average Loss  0.867451, Time  0.357104
2021-09-09 22:47:20.756086 : Epoch  2, Batch    531, Loss  0.615794, Average Loss  0.611777, Time  0.260930
2021-09-09 22:47:21.417785 : Epoch  7, Batch   2721, Loss  0.835002, Average Loss  0.867205, Time  0.355969
2021-09-09 22:47:22.657087 : Epoch  2, Batch    532, Loss  0.607909, Average Loss  0.611732, Time  0.263794
2021-09-09 22:47:23.324789 : Epoch  7, Batch   2722, Loss  0.910059, Average Loss  0.867288, Time  0.452020
2021-09-09 22:47:24.572084 : Epoch  2, Batch    533, Loss  0.611624, Average Loss  0.611734, Time  0.265201
2021-09-09 22:47:25.240105 : Epoch  7, Batch   2723, Loss  0.893661, Average Loss  0.867372, Time  0.444982
2021-09-09 22:47:26.499080 : Epoch  2, Batch    534, Loss  0.619228, Average Loss  0.611714, Time  0.266787
2021-09-09 22:47:27.056083 : Epoch  7, Batch   2724, Loss  0.890796, Average Loss  0.867518, Time  0.358564
2021-09-09 22:47:28.391846 : Epoch  2, Batch    535, Loss  0.610416, Average Loss  0.611722, Time  0.270206
2021-09-09 22:47:28.920178 : Epoch  7, Batch   2725, Loss  0.902560, Average Loss  0.867702, Time  0.355242
2021-09-09 22:47:30.279132 : Epoch  2, Batch    536, Loss  0.599910, Average Loss  0.611698, Time  0.258323
2021-09-09 22:47:30.747100 : Epoch  7, Batch   2726, Loss  0.852126, Average Loss  0.867587, Time  0.375304
2021-09-09 22:47:32.190987 : Epoch  2, Batch    537, Loss  0.606210, Average Loss  0.611638, Time  0.258283
2021-09-09 22:47:32.663124 : Epoch  7, Batch   2727, Loss  0.864045, Average Loss  0.867425, Time  0.467721
2021-09-09 22:47:34.094871 : Epoch  2, Batch    538, Loss  0.616090, Average Loss  0.611663, Time  0.259803
2021-09-09 22:47:34.555283 : Epoch  7, Batch   2728, Loss  0.864901, Average Loss  0.867371, Time  0.420635
2021-09-09 22:47:35.988099 : Epoch  2, Batch    539, Loss  0.602189, Average Loss  0.611648, Time  0.257811
2021-09-09 22:47:36.385123 : Epoch  7, Batch   2729, Loss  0.849281, Average Loss  0.867221, Time  0.360581
2021-09-09 22:47:37.887580 : Epoch  2, Batch    540, Loss  0.612906, Average Loss  0.611597, Time  0.257908
2021-09-09 22:47:38.179126 : Epoch  7, Batch   2730, Loss  0.876679, Average Loss  0.867222, Time  0.358881
2021-09-09 22:47:39.790996 : Epoch  2, Batch    541, Loss  0.597216, Average Loss  0.611514, Time  0.258218
2021-09-09 22:47:40.028330 : Epoch  7, Batch   2731, Loss  0.867927, Average Loss  0.867397, Time  0.408007
2021-09-09 22:47:41.675831 : Epoch  2, Batch    542, Loss  0.615734, Average Loss  0.611508, Time  0.258063
2021-09-09 22:47:41.926336 : Epoch  7, Batch   2732, Loss  0.866783, Average Loss  0.867337, Time  0.456643
2021-09-09 22:47:43.568168 : Epoch  2, Batch    543, Loss  0.604949, Average Loss  0.611495, Time  0.258190
2021-09-09 22:47:43.832196 : Epoch  7, Batch   2733, Loss  0.844376, Average Loss  0.867186, Time  0.425995
2021-09-09 22:47:45.539218 : Epoch  2, Batch    544, Loss  0.601868, Average Loss  0.611475, Time  0.266129
2021-09-09 22:47:47.475562 : Epoch  2, Batch    545, Loss  0.597717, Average Loss  0.611365, Time  0.273986
2021-09-09 22:47:49.406000 : Epoch  2, Batch    546, Loss  0.609910, Average Loss  0.611302, Time  0.261820
2021-09-09 22:47:51.145302 : Epoch  7, Batch   2734, Loss  0.845352, Average Loss  0.867174, Time  0.387575
2021-09-09 22:47:51.306427 : Epoch  2, Batch    547, Loss  0.612729, Average Loss  0.611239, Time  0.262221
2021-09-09 22:47:53.212041 : Epoch  2, Batch    548, Loss  0.607176, Average Loss  0.611196, Time  0.261246
2021-09-09 22:47:55.134535 : Epoch  2, Batch    549, Loss  0.609513, Average Loss  0.611144, Time  0.263530
2021-09-09 22:47:57.046853 : Epoch  2, Batch    550, Loss  0.603826, Average Loss  0.611045, Time  0.258600
2021-09-09 22:47:58.937060 : Epoch  2, Batch    551, Loss  0.598398, Average Loss  0.611004, Time  0.257762
2021-09-09 22:48:00.839085 : Epoch  2, Batch    552, Loss  0.610470, Average Loss  0.610974, Time  0.258853
2021-09-09 22:48:02.728817 : Epoch  2, Batch    553, Loss  0.606882, Average Loss  0.610918, Time  0.258434
2021-09-09 22:48:04.622842 : Epoch  2, Batch    554, Loss  0.610388, Average Loss  0.610880, Time  0.259181
2021-09-09 22:48:06.512771 : Epoch  2, Batch    555, Loss  0.606638, Average Loss  0.610874, Time  0.258016
2021-09-09 22:48:08.421858 : Epoch  2, Batch    556, Loss  0.615069, Average Loss  0.610853, Time  0.258031
2021-09-09 22:48:10.331087 : Epoch  2, Batch    557, Loss  0.611941, Average Loss  0.610836, Time  0.258074
2021-09-09 22:48:12.218933 : Epoch  2, Batch    558, Loss  0.613362, Average Loss  0.610815, Time  0.257952
2021-09-09 22:48:14.125043 : Epoch  2, Batch    559, Loss  0.608288, Average Loss  0.610775, Time  0.257631
2021-09-09 22:48:16.046828 : Epoch  2, Batch    560, Loss  0.607734, Average Loss  0.610810, Time  0.258209
2021-09-09 22:48:17.961065 : Epoch  2, Batch    561, Loss  0.607958, Average Loss  0.610784, Time  0.257986
2021-09-09 22:48:19.882854 : Epoch  2, Batch    562, Loss  0.618493, Average Loss  0.610838, Time  0.257603
2021-09-09 22:48:21.767050 : Epoch  2, Batch    563, Loss  0.606816, Average Loss  0.610835, Time  0.258175
2021-09-09 22:48:23.660790 : Epoch  2, Batch    564, Loss  0.607037, Average Loss  0.610795, Time  0.257838
2021-09-09 22:48:25.542924 : Epoch  2, Batch    565, Loss  0.620523, Average Loss  0.610819, Time  0.258492
2021-09-09 22:48:27.435118 : Epoch  2, Batch    566, Loss  0.607724, Average Loss  0.610832, Time  0.263869
2021-09-09 22:48:29.324208 : Epoch  2, Batch    567, Loss  0.607088, Average Loss  0.610814, Time  0.259542
2021-09-09 22:48:31.219889 : Epoch  2, Batch    568, Loss  0.603773, Average Loss  0.610782, Time  0.260166
2021-09-09 22:48:33.100921 : Epoch  2, Batch    569, Loss  0.591669, Average Loss  0.610670, Time  0.258433
2021-09-09 22:48:34.988829 : Epoch  2, Batch    570, Loss  0.606582, Average Loss  0.610628, Time  0.261252
2021-09-09 22:48:36.878866 : Epoch  2, Batch    571, Loss  0.608978, Average Loss  0.610548, Time  0.258809
2021-09-09 22:48:38.764802 : Epoch  2, Batch    572, Loss  0.603048, Average Loss  0.610462, Time  0.258268
2021-09-09 22:48:40.650092 : Epoch  2, Batch    573, Loss  0.608442, Average Loss  0.610426, Time  0.259658
2021-09-09 22:48:42.533911 : Epoch  2, Batch    574, Loss  0.610720, Average Loss  0.610451, Time  0.258678
2021-09-09 22:48:44.423822 : Epoch  2, Batch    575, Loss  0.599687, Average Loss  0.610337, Time  0.262290
2021-09-09 22:48:46.304853 : Epoch  2, Batch    576, Loss  0.590989, Average Loss  0.610172, Time  0.263035
2021-09-09 22:48:48.177009 : Epoch  2, Batch    577, Loss  0.603933, Average Loss  0.610133, Time  0.260191
2021-09-09 22:48:50.065864 : Epoch  2, Batch    578, Loss  0.591794, Average Loss  0.610015, Time  0.270887
2021-09-09 22:48:51.946310 : Epoch  2, Batch    579, Loss  0.620439, Average Loss  0.610057, Time  0.258576
2021-09-09 22:48:53.836917 : Epoch  2, Batch    580, Loss  0.617670, Average Loss  0.610108, Time  0.258026
2021-09-09 22:48:55.744822 : Epoch  2, Batch    581, Loss  0.619434, Average Loss  0.610143, Time  0.257934
2021-09-09 22:48:57.652843 : Epoch  2, Batch    582, Loss  0.596807, Average Loss  0.610129, Time  0.257833
2021-09-09 22:48:59.558390 : Epoch  2, Batch    583, Loss  0.603269, Average Loss  0.610132, Time  0.258233
2021-09-09 22:49:03.562818 : Epoch  2, Batch    584, Loss  0.619876, Average Loss  0.610176, Time  0.268023
2021-09-09 22:49:05.486841 : Epoch  2, Batch    585, Loss  0.598638, Average Loss  0.610082, Time  0.258576
2021-09-09 22:49:07.393065 : Epoch  2, Batch    586, Loss  0.597371, Average Loss  0.610083, Time  0.257488
2021-09-09 22:49:09.281060 : Epoch  2, Batch    587, Loss  0.612606, Average Loss  0.610111, Time  0.261131
2021-09-09 22:49:11.194931 : Epoch  2, Batch    588, Loss  0.600007, Average Loss  0.610005, Time  0.258321
2021-09-09 22:49:13.098959 : Epoch  2, Batch    589, Loss  0.601432, Average Loss  0.609969, Time  0.258126
2021-09-09 22:49:15.002822 : Epoch  2, Batch    590, Loss  0.606915, Average Loss  0.609964, Time  0.258014
2021-09-09 22:49:16.917064 : Epoch  2, Batch    591, Loss  0.605081, Average Loss  0.609990, Time  0.257884
2021-09-09 22:49:18.816825 : Epoch  2, Batch    592, Loss  0.601423, Average Loss  0.609942, Time  0.257704
2021-09-09 22:49:20.715112 : Epoch  2, Batch    593, Loss  0.596075, Average Loss  0.609819, Time  0.258581
2021-09-09 22:49:22.603801 : Epoch  2, Batch    594, Loss  0.609591, Average Loss  0.609763, Time  0.258934
2021-09-09 22:49:24.473935 : Epoch  2, Batch    595, Loss  0.609816, Average Loss  0.609737, Time  0.263914
2021-09-09 22:49:26.359859 : Epoch  2, Batch    596, Loss  0.610559, Average Loss  0.609775, Time  0.258209
2021-09-09 22:49:28.273839 : Epoch  2, Batch    597, Loss  0.600039, Average Loss  0.609746, Time  0.257679
2021-09-09 22:49:30.226907 : Epoch  2, Batch    598, Loss  0.611786, Average Loss  0.609708, Time  0.258152
2021-09-09 22:49:32.133055 : Epoch  2, Batch    599, Loss  0.603579, Average Loss  0.609668, Time  0.257715
2021-09-09 22:49:34.029838 : Epoch  2, Batch    600, Loss  0.616706, Average Loss  0.609679, Time  0.257836
2021-09-09 22:49:35.928892 : Epoch  2, Batch    601, Loss  0.605143, Average Loss  0.609590, Time  0.258142
2021-09-09 22:49:37.823764 : Epoch  2, Batch    602, Loss  0.610492, Average Loss  0.609606, Time  0.258060
2021-09-09 22:49:39.727779 : Epoch  2, Batch    603, Loss  0.600362, Average Loss  0.609577, Time  0.262634
2021-09-09 22:49:41.640095 : Epoch  2, Batch    604, Loss  0.612705, Average Loss  0.609541, Time  0.270094
2021-09-09 22:49:43.531013 : Epoch  2, Batch    605, Loss  0.608208, Average Loss  0.609610, Time  0.258398
2021-09-09 22:49:45.408088 : Epoch  2, Batch    606, Loss  0.608087, Average Loss  0.609543, Time  0.258097
2021-09-09 22:49:47.295235 : Epoch  2, Batch    607, Loss  0.607721, Average Loss  0.609458, Time  0.257990
2021-09-09 22:49:49.197831 : Epoch  2, Batch    608, Loss  0.595336, Average Loss  0.609332, Time  0.258055
2021-09-09 22:49:51.098059 : Epoch  2, Batch    609, Loss  0.608005, Average Loss  0.609277, Time  0.257647
2021-09-09 22:49:53.007067 : Epoch  2, Batch    610, Loss  0.616760, Average Loss  0.609277, Time  0.257833
2021-09-09 22:49:54.914801 : Epoch  2, Batch    611, Loss  0.611223, Average Loss  0.609324, Time  0.258398
2021-09-09 22:49:56.830845 : Epoch  2, Batch    612, Loss  0.594196, Average Loss  0.609250, Time  0.257883
2021-09-09 22:49:58.749842 : Epoch  2, Batch    613, Loss  0.609421, Average Loss  0.609303, Time  0.259469
2021-09-09 22:51:09.037758 : CheckPoint: Validation Loss  0.00024693, Best Loss  0.00024693
2021-09-09 22:51:09.137628 : Best Model Updated
2021-09-09 22:51:12.112997 : Epoch  2, Batch    614, Loss  0.616183, Average Loss  0.609297, Time  0.263958
2021-09-09 22:51:14.033801 : Epoch  2, Batch    615, Loss  0.603566, Average Loss  0.609282, Time  0.258717
2021-09-09 22:51:15.935838 : Epoch  2, Batch    616, Loss  0.603978, Average Loss  0.609229, Time  0.258139
2021-09-09 22:51:17.877888 : Epoch  2, Batch    617, Loss  0.607918, Average Loss  0.609204, Time  0.258398
2021-09-09 22:51:19.778865 : Epoch  2, Batch    618, Loss  0.599151, Average Loss  0.609177, Time  0.257857
2021-09-09 22:51:21.686963 : Epoch  2, Batch    619, Loss  0.614141, Average Loss  0.609158, Time  0.257866
2021-09-09 22:51:23.606870 : Epoch  2, Batch    620, Loss  0.602830, Average Loss  0.609092, Time  0.257918
2021-09-09 22:51:25.517042 : Epoch  2, Batch    621, Loss  0.605788, Average Loss  0.609074, Time  0.258133
2021-09-09 22:51:27.430106 : Epoch  2, Batch    622, Loss  0.593656, Average Loss  0.609029, Time  0.257962
2021-09-09 22:51:29.308090 : Epoch  2, Batch    623, Loss  0.605693, Average Loss  0.608909, Time  0.259019
2021-09-09 22:51:31.198866 : Epoch  2, Batch    624, Loss  0.604473, Average Loss  0.608914, Time  0.258918
2021-09-09 22:51:33.089799 : Epoch  2, Batch    625, Loss  0.618029, Average Loss  0.608922, Time  0.257921
2021-09-09 22:51:34.976860 : Epoch  2, Batch    626, Loss  0.591760, Average Loss  0.608822, Time  0.257960
2021-09-09 22:51:36.874084 : Epoch  2, Batch    627, Loss  0.616283, Average Loss  0.608832, Time  0.262262
2021-09-09 22:51:38.779976 : Epoch  2, Batch    628, Loss  0.602821, Average Loss  0.608784, Time  0.262430
2021-09-09 22:51:40.666877 : Epoch  2, Batch    629, Loss  0.602222, Average Loss  0.608768, Time  0.264725
2021-09-09 22:51:42.561752 : Epoch  2, Batch    630, Loss  0.599442, Average Loss  0.608652, Time  0.258399
2021-09-09 22:51:44.448775 : Epoch  2, Batch    631, Loss  0.603982, Average Loss  0.608645, Time  0.261045
2021-09-09 22:51:46.308054 : Epoch  2, Batch    632, Loss  0.605187, Average Loss  0.608616, Time  0.260713
2021-09-09 22:51:48.181849 : Epoch  2, Batch    633, Loss  0.610793, Average Loss  0.608593, Time  0.258299
2021-09-09 22:51:50.086890 : Epoch  2, Batch    634, Loss  0.606410, Average Loss  0.608549, Time  0.270588
2021-09-09 22:51:51.972525 : Epoch  2, Batch    635, Loss  0.614347, Average Loss  0.608608, Time  0.257800
2021-09-09 22:51:53.866091 : Epoch  2, Batch    636, Loss  0.604162, Average Loss  0.608565, Time  0.266172
2021-09-09 22:51:55.732948 : Epoch  2, Batch    637, Loss  0.598848, Average Loss  0.608522, Time  0.262149
2021-09-09 22:51:57.619086 : Epoch  2, Batch    638, Loss  0.594487, Average Loss  0.608407, Time  0.262915
2021-09-09 22:51:59.490117 : Epoch  2, Batch    639, Loss  0.606021, Average Loss  0.608415, Time  0.264383
2021-09-09 22:52:01.382814 : Epoch  2, Batch    640, Loss  0.609923, Average Loss  0.608408, Time  0.262252
2021-09-09 22:52:03.258800 : Epoch  2, Batch    641, Loss  0.601733, Average Loss  0.608335, Time  0.258423
2021-09-09 22:52:05.133625 : Epoch  2, Batch    642, Loss  0.606619, Average Loss  0.608251, Time  0.259983
2021-09-09 22:52:07.012077 : Epoch  2, Batch    643, Loss  0.610089, Average Loss  0.608267, Time  0.267967
2021-09-09 22:52:08.892802 : Epoch  2, Batch    644, Loss  0.603182, Average Loss  0.608264, Time  0.259573
2021-09-09 22:52:10.814888 : Epoch  2, Batch    645, Loss  0.606769, Average Loss  0.608268, Time  0.258427
2021-09-09 22:52:12.717045 : Epoch  2, Batch    646, Loss  0.608007, Average Loss  0.608282, Time  0.259324
2021-09-09 22:52:14.617102 : Epoch  2, Batch    647, Loss  0.596545, Average Loss  0.608176, Time  0.262034
2021-09-09 22:52:16.511778 : Epoch  2, Batch    648, Loss  0.603463, Average Loss  0.608177, Time  0.267635
2021-09-09 22:52:18.399979 : Epoch  2, Batch    649, Loss  0.607789, Average Loss  0.608118, Time  0.258830
2021-09-09 22:52:20.283038 : Epoch  2, Batch    650, Loss  0.605322, Average Loss  0.608123, Time  0.258603
2021-09-09 22:52:22.177906 : Epoch  2, Batch    651, Loss  0.605621, Average Loss  0.608088, Time  0.258412
2021-09-09 22:52:24.074101 : Epoch  2, Batch    652, Loss  0.610717, Average Loss  0.608049, Time  0.258211
2021-09-09 22:52:25.960947 : Epoch  2, Batch    653, Loss  0.601293, Average Loss  0.608008, Time  0.258888
2021-09-09 22:52:27.879347 : Epoch  2, Batch    654, Loss  0.603176, Average Loss  0.607968, Time  0.258797
2021-09-09 22:52:29.762067 : Epoch  2, Batch    655, Loss  0.609482, Average Loss  0.607992, Time  0.258242
2021-09-09 22:52:31.664809 : Epoch  2, Batch    656, Loss  0.611921, Average Loss  0.608028, Time  0.257792
2021-09-09 22:52:33.565894 : Epoch  2, Batch    657, Loss  0.612474, Average Loss  0.608020, Time  0.269500
2021-09-09 22:52:35.466075 : Epoch  2, Batch    658, Loss  0.598470, Average Loss  0.608004, Time  0.258051
2021-09-09 22:52:37.356055 : Epoch  2, Batch    659, Loss  0.596812, Average Loss  0.607925, Time  0.257801
2021-09-09 22:52:39.268043 : Epoch  2, Batch    660, Loss  0.609627, Average Loss  0.607902, Time  0.257965
2021-09-09 22:52:41.184814 : Epoch  2, Batch    661, Loss  0.600456, Average Loss  0.607802, Time  0.260031
2021-09-09 22:52:42.410710 : CheckPoint: Validation Loss  0.00057860, Best Loss  0.00056427
2021-09-09 22:52:43.093775 : Epoch  2, Batch    662, Loss  0.613164, Average Loss  0.607832, Time  0.258070
2021-09-09 22:52:44.219779 : Epoch  7, Batch   2735, Loss  0.866257, Average Loss  0.867032, Time  0.356133
2021-09-09 22:52:45.008050 : Epoch  2, Batch    663, Loss  0.618325, Average Loss  0.607894, Time  0.257481
2021-09-09 22:52:46.125785 : Epoch  7, Batch   2736, Loss  0.877562, Average Loss  0.867145, Time  0.453459
2021-09-09 22:52:46.917916 : Epoch  2, Batch    664, Loss  0.599214, Average Loss  0.607914, Time  0.257609
2021-09-09 22:52:48.000772 : Epoch  7, Batch   2737, Loss  0.875424, Average Loss  0.867300, Time  0.426595
2021-09-09 22:52:48.819065 : Epoch  2, Batch    665, Loss  0.608452, Average Loss  0.607910, Time  0.257741
2021-09-09 22:52:49.802886 : Epoch  7, Batch   2738, Loss  0.838643, Average Loss  0.867071, Time  0.359429
2021-09-09 22:52:50.719849 : Epoch  2, Batch    666, Loss  0.599172, Average Loss  0.607854, Time  0.257845
2021-09-09 22:52:51.598811 : Epoch  7, Batch   2739, Loss  0.858552, Average Loss  0.867017, Time  0.357074
2021-09-09 22:52:52.627061 : Epoch  2, Batch    667, Loss  0.601793, Average Loss  0.607767, Time  0.260269
2021-09-09 22:52:53.457017 : Epoch  7, Batch   2740, Loss  0.842625, Average Loss  0.867056, Time  0.411003
2021-09-09 22:52:54.538055 : Epoch  2, Batch    668, Loss  0.606658, Average Loss  0.607707, Time  0.257772
2021-09-09 22:52:55.353776 : Epoch  7, Batch   2741, Loss  0.878289, Average Loss  0.866996, Time  0.451262
2021-09-09 22:52:56.447053 : Epoch  2, Batch    669, Loss  0.598464, Average Loss  0.607663, Time  0.257942
2021-09-09 22:52:57.146185 : Epoch  7, Batch   2742, Loss  0.872091, Average Loss  0.867026, Time  0.356043
2021-09-09 22:52:58.346977 : Epoch  2, Batch    670, Loss  0.608740, Average Loss  0.607671, Time  0.258283
2021-09-09 22:52:58.952776 : Epoch  7, Batch   2743, Loss  0.865756, Average Loss  0.866958, Time  0.357870
2021-09-09 22:53:00.258839 : Epoch  2, Batch    671, Loss  0.599608, Average Loss  0.607611, Time  0.258372
2021-09-09 22:53:00.770766 : Epoch  7, Batch   2744, Loss  0.866043, Average Loss  0.866880, Time  0.364555
2021-09-09 22:53:02.161920 : Epoch  2, Batch    672, Loss  0.599690, Average Loss  0.607589, Time  0.258496
2021-09-09 22:53:02.646108 : Epoch  7, Batch   2745, Loss  0.847241, Average Loss  0.866875, Time  0.463557
2021-09-09 22:53:04.071907 : Epoch  2, Batch    673, Loss  0.604049, Average Loss  0.607516, Time  0.258780
2021-09-09 22:53:04.409772 : Epoch  7, Batch   2746, Loss  0.855511, Average Loss  0.866794, Time  0.358938
2021-09-09 22:53:05.966934 : Epoch  2, Batch    674, Loss  0.610988, Average Loss  0.607527, Time  0.258134
2021-09-09 22:53:06.181257 : Epoch  7, Batch   2747, Loss  0.832347, Average Loss  0.866552, Time  0.356155
2021-09-09 22:53:07.877102 : Epoch  2, Batch    675, Loss  0.596592, Average Loss  0.607440, Time  0.258546
2021-09-09 22:53:07.992147 : Epoch  7, Batch   2748, Loss  0.863182, Average Loss  0.866438, Time  0.372172
2021-09-09 22:53:09.787874 : Epoch  2, Batch    676, Loss  0.610679, Average Loss  0.607384, Time  0.272557
2021-09-09 22:53:09.871789 : Epoch  7, Batch   2749, Loss  0.844996, Average Loss  0.866371, Time  0.450832
2021-09-09 22:53:11.730323 : Epoch  7, Batch   2750, Loss  0.837843, Average Loss  0.866099, Time  0.387733
2021-09-09 22:53:11.765782 : Epoch  2, Batch    677, Loss  0.598313, Average Loss  0.607277, Time  0.277718
2021-09-09 22:53:13.545790 : Epoch  7, Batch   2751, Loss  0.870794, Average Loss  0.866233, Time  0.396188
2021-09-09 22:53:13.655860 : Epoch  2, Batch    678, Loss  0.600494, Average Loss  0.607185, Time  0.268724
2021-09-09 22:53:15.339413 : Epoch  7, Batch   2752, Loss  0.841222, Average Loss  0.866199, Time  0.359886
2021-09-09 22:53:15.531949 : Epoch  2, Batch    679, Loss  0.605194, Average Loss  0.607124, Time  0.261497
2021-09-09 22:53:17.206926 : Epoch  7, Batch   2753, Loss  0.822143, Average Loss  0.865930, Time  0.455163
2021-09-09 22:53:17.404887 : Epoch  2, Batch    680, Loss  0.597387, Average Loss  0.607006, Time  0.258404
2021-09-09 22:53:18.999147 : Epoch  7, Batch   2754, Loss  0.853000, Average Loss  0.865722, Time  0.337628
2021-09-09 22:53:19.293665 : Epoch  2, Batch    681, Loss  0.600049, Average Loss  0.606930, Time  0.259655
2021-09-09 22:53:20.790784 : Epoch  7, Batch   2755, Loss  0.866390, Average Loss  0.865675, Time  0.361586
2021-09-09 22:53:21.157832 : Epoch  2, Batch    682, Loss  0.615082, Average Loss  0.606943, Time  0.267190
2021-09-09 22:53:22.565081 : Epoch  7, Batch   2756, Loss  0.887231, Average Loss  0.865706, Time  0.357954
2021-09-09 22:53:23.012914 : Epoch  2, Batch    683, Loss  0.613272, Average Loss  0.607006, Time  0.260322
2021-09-09 22:53:24.442761 : Epoch  7, Batch   2757, Loss  0.861669, Average Loss  0.865725, Time  0.463583
2021-09-09 22:53:26.233295 : Epoch  7, Batch   2758, Loss  0.897976, Average Loss  0.865933, Time  0.357357
2021-09-09 22:53:27.000094 : Epoch  2, Batch    684, Loss  0.586560, Average Loss  0.606913, Time  0.272286
2021-09-09 22:53:28.044131 : Epoch  7, Batch   2759, Loss  0.867964, Average Loss  0.865863, Time  0.362791
2021-09-09 22:53:28.909780 : Epoch  2, Batch    685, Loss  0.600174, Average Loss  0.606824, Time  0.260484
2021-09-09 22:53:29.864763 : Epoch  7, Batch   2760, Loss  0.847601, Average Loss  0.865821, Time  0.370695
2021-09-09 22:53:30.822870 : Epoch  2, Batch    686, Loss  0.605030, Average Loss  0.606801, Time  0.258422
2021-09-09 22:53:31.778006 : Epoch  7, Batch   2761, Loss  0.885168, Average Loss  0.866154, Time  0.457241
2021-09-09 22:53:32.716911 : Epoch  2, Batch    687, Loss  0.603535, Average Loss  0.606766, Time  0.261072
2021-09-09 22:53:33.614703 : Epoch  7, Batch   2762, Loss  0.881448, Average Loss  0.866326, Time  0.415889
2021-09-09 22:53:34.589101 : Epoch  2, Batch    688, Loss  0.616226, Average Loss  0.606852, Time  0.258694
2021-09-09 22:53:35.396015 : Epoch  7, Batch   2763, Loss  0.880407, Average Loss  0.866295, Time  0.367974
2021-09-09 22:53:36.464084 : Epoch  2, Batch    689, Loss  0.602421, Average Loss  0.606826, Time  0.264696
2021-09-09 22:53:37.192779 : Epoch  7, Batch   2764, Loss  0.870669, Average Loss  0.866308, Time  0.362402
2021-09-09 22:53:38.367762 : Epoch  2, Batch    690, Loss  0.613265, Average Loss  0.606803, Time  0.265838
2021-09-09 22:53:39.065886 : Epoch  7, Batch   2765, Loss  0.883432, Average Loss  0.866459, Time  0.433367
2021-09-09 22:53:40.272856 : Epoch  2, Batch    691, Loss  0.609372, Average Loss  0.606801, Time  0.264982
2021-09-09 22:53:40.954734 : Epoch  7, Batch   2766, Loss  0.872633, Average Loss  0.866343, Time  0.461687
2021-09-09 22:53:42.145084 : Epoch  2, Batch    692, Loss  0.603423, Average Loss  0.606740, Time  0.261882
2021-09-09 22:53:42.752116 : Epoch  7, Batch   2767, Loss  0.900632, Average Loss  0.866515, Time  0.357236
2021-09-09 22:53:44.032848 : Epoch  2, Batch    693, Loss  0.607986, Average Loss  0.606685, Time  0.258353
2021-09-09 22:53:44.579778 : Epoch  7, Batch   2768, Loss  0.879539, Average Loss  0.866594, Time  0.368936
2021-09-09 22:53:45.941090 : Epoch  2, Batch    694, Loss  0.607395, Average Loss  0.606629, Time  0.261437
2021-09-09 22:53:46.389773 : Epoch  7, Batch   2769, Loss  0.832322, Average Loss  0.866506, Time  0.362730
2021-09-09 22:53:47.849147 : Epoch  2, Batch    695, Loss  0.604838, Average Loss  0.606597, Time  0.263300
2021-09-09 22:53:48.278820 : Epoch  7, Batch   2770, Loss  0.868317, Average Loss  0.866565, Time  0.459878
2021-09-09 22:53:49.731045 : Epoch  2, Batch    696, Loss  0.605893, Average Loss  0.606587, Time  0.259556
2021-09-09 22:53:50.066962 : Epoch  7, Batch   2771, Loss  0.841351, Average Loss  0.866699, Time  0.364894
2021-09-09 22:53:51.646901 : Epoch  2, Batch    697, Loss  0.611714, Average Loss  0.606636, Time  0.258499
2021-09-09 22:53:51.849762 : Epoch  7, Batch   2772, Loss  0.871692, Average Loss  0.866643, Time  0.356765
2021-09-09 22:53:53.530788 : Epoch  2, Batch    698, Loss  0.609268, Average Loss  0.606659, Time  0.259497
2021-09-09 22:53:53.658122 : Epoch  7, Batch   2773, Loss  0.869095, Average Loss  0.866671, Time  0.358498
2021-09-09 22:53:55.415188 : Epoch  2, Batch    699, Loss  0.608444, Average Loss  0.606682, Time  0.260708
2021-09-09 22:53:55.566771 : Epoch  7, Batch   2774, Loss  0.860035, Average Loss  0.866542, Time  0.454849
2021-09-09 22:53:57.300891 : Epoch  2, Batch    700, Loss  0.607355, Average Loss  0.606717, Time  0.263854
2021-09-09 22:53:57.465860 : Epoch  7, Batch   2775, Loss  0.839757, Average Loss  0.866414, Time  0.471845
2021-09-09 22:53:59.239092 : Epoch  2, Batch    701, Loss  0.609931, Average Loss  0.606733, Time  0.265180
2021-09-09 22:53:59.280766 : Epoch  7, Batch   2776, Loss  0.857168, Average Loss  0.866326, Time  0.370597
2021-09-09 22:54:01.088853 : Epoch  7, Batch   2777, Loss  0.845713, Average Loss  0.866272, Time  0.363436
2021-09-09 22:54:01.124085 : Epoch  2, Batch    702, Loss  0.603682, Average Loss  0.606648, Time  0.264945
2021-09-09 22:54:02.891726 : Epoch  7, Batch   2778, Loss  0.888581, Average Loss  0.866476, Time  0.394849
2021-09-09 22:54:03.013088 : Epoch  2, Batch    703, Loss  0.598200, Average Loss  0.606598, Time  0.259697
2021-09-09 22:54:04.781777 : Epoch  7, Batch   2779, Loss  0.844682, Average Loss  0.866341, Time  0.450707
2021-09-09 22:54:04.900814 : Epoch  2, Batch    704, Loss  0.604215, Average Loss  0.606522, Time  0.258388
2021-09-09 22:54:06.582779 : Epoch  7, Batch   2780, Loss  0.880107, Average Loss  0.866451, Time  0.350879
2021-09-09 22:54:06.785910 : Epoch  2, Batch    705, Loss  0.602257, Average Loss  0.606496, Time  0.262614
2021-09-09 22:54:08.371606 : Epoch  7, Batch   2781, Loss  0.880721, Average Loss  0.866326, Time  0.361116
2021-09-09 22:54:08.676273 : Epoch  2, Batch    706, Loss  0.609594, Average Loss  0.606539, Time  0.290259
2021-09-09 22:54:10.180778 : Epoch  7, Batch   2782, Loss  0.889184, Average Loss  0.866364, Time  0.361410
2021-09-09 22:54:10.571082 : Epoch  2, Batch    707, Loss  0.581420, Average Loss  0.606401, Time  0.261743
2021-09-09 22:54:12.077430 : Epoch  7, Batch   2783, Loss  0.876319, Average Loss  0.866327, Time  0.459915
2021-09-09 22:54:12.463776 : Epoch  2, Batch    708, Loss  0.597046, Average Loss  0.606364, Time  0.258050
2021-09-09 22:54:13.858124 : Epoch  7, Batch   2784, Loss  0.846497, Average Loss  0.866258, Time  0.352436
2021-09-09 22:54:14.373920 : Epoch  2, Batch    709, Loss  0.593260, Average Loss  0.606257, Time  0.262438
2021-09-09 22:54:15.639945 : Epoch  7, Batch   2785, Loss  0.856449, Average Loss  0.866193, Time  0.364319
2021-09-09 22:54:16.245878 : Epoch  2, Batch    710, Loss  0.601931, Average Loss  0.606224, Time  0.261937
2021-09-09 22:54:17.421800 : Epoch  7, Batch   2786, Loss  0.834038, Average Loss  0.866018, Time  0.364271
2021-09-09 22:54:18.135513 : Epoch  2, Batch    711, Loss  0.610744, Average Loss  0.606234, Time  0.258497
2021-09-09 22:54:19.297133 : Epoch  7, Batch   2787, Loss  0.846343, Average Loss  0.865826, Time  0.456800
2021-09-09 22:54:20.013762 : Epoch  2, Batch    712, Loss  0.597802, Average Loss  0.606195, Time  0.273056
2021-09-09 22:54:21.162767 : Epoch  7, Batch   2788, Loss  0.827222, Average Loss  0.865654, Time  0.426389
2021-09-09 22:54:21.891855 : Epoch  2, Batch    713, Loss  0.590376, Average Loss  0.606115, Time  0.270570
2021-09-09 22:54:22.980159 : Epoch  7, Batch   2789, Loss  0.894029, Average Loss  0.865816, Time  0.362672
2021-09-09 22:54:24.790787 : Epoch  7, Batch   2790, Loss  0.911817, Average Loss  0.866073, Time  0.358965
2021-09-09 22:54:26.630853 : Epoch  7, Batch   2791, Loss  0.874505, Average Loss  0.866215, Time  0.413276
2021-09-09 22:54:28.528771 : Epoch  7, Batch   2792, Loss  0.851941, Average Loss  0.866191, Time  0.466970
2021-09-09 22:54:30.324896 : Epoch  7, Batch   2793, Loss  0.843644, Average Loss  0.866118, Time  0.345268
2021-09-09 22:54:32.100783 : Epoch  7, Batch   2794, Loss  0.875667, Average Loss  0.866058, Time  0.365295
2021-09-09 22:54:33.904383 : Epoch  7, Batch   2795, Loss  0.876950, Average Loss  0.866190, Time  0.362001
2021-09-09 22:54:35.795777 : Epoch  7, Batch   2796, Loss  0.884030, Average Loss  0.866207, Time  0.451911
2021-09-09 22:54:37.579835 : Epoch  7, Batch   2797, Loss  0.894467, Average Loss  0.866238, Time  0.371816
2021-09-09 22:54:39.352870 : Epoch  7, Batch   2798, Loss  0.869672, Average Loss  0.866265, Time  0.358181
2021-09-09 22:54:41.151840 : Epoch  7, Batch   2799, Loss  0.807653, Average Loss  0.865899, Time  0.360792
2021-09-09 22:54:43.032830 : Epoch  7, Batch   2800, Loss  0.859193, Average Loss  0.865896, Time  0.461989
2021-09-09 22:54:44.796399 : Epoch  7, Batch   2801, Loss  0.882196, Average Loss  0.866191, Time  0.358492
2021-09-09 22:54:46.577833 : Epoch  7, Batch   2802, Loss  0.876802, Average Loss  0.866314, Time  0.362978
2021-09-09 22:54:48.393772 : Epoch  7, Batch   2803, Loss  0.881387, Average Loss  0.866389, Time  0.400336
2021-09-09 22:54:50.278837 : Epoch  7, Batch   2804, Loss  0.905526, Average Loss  0.866476, Time  0.455854
2021-09-09 22:54:52.066120 : Epoch  7, Batch   2805, Loss  0.872466, Average Loss  0.866399, Time  0.367882
2021-09-09 22:54:53.870776 : Epoch  7, Batch   2806, Loss  0.874525, Average Loss  0.866644, Time  0.367391
2021-09-09 22:54:55.652022 : Epoch  7, Batch   2807, Loss  0.876689, Average Loss  0.866698, Time  0.373705
2021-09-09 22:54:57.538153 : Epoch  7, Batch   2808, Loss  0.875700, Average Loss  0.866774, Time  0.460062
2021-09-09 22:54:59.314891 : Epoch  7, Batch   2809, Loss  0.874770, Average Loss  0.866697, Time  0.342166
2021-09-09 22:55:01.110119 : Epoch  7, Batch   2810, Loss  0.861508, Average Loss  0.866591, Time  0.358257
2021-09-09 22:55:02.893807 : Epoch  7, Batch   2811, Loss  0.863478, Average Loss  0.866657, Time  0.357279
2021-09-09 22:55:04.786204 : Epoch  7, Batch   2812, Loss  0.880031, Average Loss  0.866887, Time  0.454368
2021-09-09 22:55:06.671826 : Epoch  7, Batch   2813, Loss  0.866491, Average Loss  0.866887, Time  0.433184
2021-09-09 22:55:08.472777 : Epoch  7, Batch   2814, Loss  0.894629, Average Loss  0.866936, Time  0.370732
2021-09-09 22:55:10.253072 : Epoch  7, Batch   2815, Loss  0.869216, Average Loss  0.866863, Time  0.357426
2021-09-09 22:55:12.116779 : Epoch  7, Batch   2816, Loss  0.828756, Average Loss  0.866602, Time  0.419995
2021-09-09 22:55:14.041182 : Epoch  7, Batch   2817, Loss  0.855049, Average Loss  0.866759, Time  0.453333
2021-09-09 22:55:15.835845 : Epoch  7, Batch   2818, Loss  0.893215, Average Loss  0.866885, Time  0.369390
2021-09-09 22:55:17.595946 : Epoch  7, Batch   2819, Loss  0.867865, Average Loss  0.866902, Time  0.357715
2021-09-09 22:55:19.385186 : Epoch  7, Batch   2820, Loss  0.903031, Average Loss  0.866975, Time  0.361789
2021-09-09 22:55:21.270950 : Epoch  7, Batch   2821, Loss  0.873479, Average Loss  0.867006, Time  0.453199
2021-09-09 22:55:23.165779 : Epoch  7, Batch   2822, Loss  0.882050, Average Loss  0.867025, Time  0.450184
2021-09-09 22:55:24.985797 : Epoch  7, Batch   2823, Loss  0.873014, Average Loss  0.867185, Time  0.378107
2021-09-09 22:55:26.775931 : Epoch  7, Batch   2824, Loss  0.867962, Average Loss  0.867306, Time  0.368093
2021-09-09 22:55:28.586900 : Epoch  7, Batch   2825, Loss  0.866220, Average Loss  0.867335, Time  0.409832
2021-09-09 22:55:30.470911 : Epoch  7, Batch   2826, Loss  0.881667, Average Loss  0.867337, Time  0.453923
2021-09-09 22:55:31.501750 : CheckPoint: Validation Loss  0.00024909, Best Loss  0.00024693
2021-09-09 22:55:32.275237 : Epoch  7, Batch   2827, Loss  0.874566, Average Loss  0.867409, Time  0.365813
2021-09-09 22:55:33.421903 : Epoch  2, Batch    714, Loss  0.604700, Average Loss  0.606078, Time  0.272392
2021-09-09 22:55:34.074803 : Epoch  7, Batch   2828, Loss  0.874663, Average Loss  0.867388, Time  0.364258
2021-09-09 22:55:35.336799 : Epoch  2, Batch    715, Loss  0.606672, Average Loss  0.606071, Time  0.275644
2021-09-09 22:55:35.895110 : Epoch  7, Batch   2829, Loss  0.876309, Average Loss  0.867359, Time  0.371060
2021-09-09 22:55:37.268803 : Epoch  2, Batch    716, Loss  0.601195, Average Loss  0.606036, Time  0.265762
2021-09-09 22:55:37.804773 : Epoch  7, Batch   2830, Loss  0.890635, Average Loss  0.867497, Time  0.462210
2021-09-09 22:55:39.167727 : Epoch  2, Batch    717, Loss  0.603296, Average Loss  0.605998, Time  0.258438
2021-09-09 22:55:39.695109 : Epoch  7, Batch   2831, Loss  0.868301, Average Loss  0.867529, Time  0.431636
2021-09-09 22:55:41.061127 : Epoch  2, Batch    718, Loss  0.599456, Average Loss  0.605941, Time  0.271797
2021-09-09 22:55:41.498768 : Epoch  7, Batch   2832, Loss  0.860604, Average Loss  0.867469, Time  0.361558
2021-09-09 22:55:42.952859 : Epoch  2, Batch    719, Loss  0.602352, Average Loss  0.605906, Time  0.262366
2021-09-09 22:55:43.279769 : Epoch  7, Batch   2833, Loss  0.862233, Average Loss  0.867472, Time  0.363986
2021-09-09 22:55:44.842143 : Epoch  2, Batch    720, Loss  0.611242, Average Loss  0.605900, Time  0.259354
2021-09-09 22:55:45.125169 : Epoch  7, Batch   2834, Loss  0.879660, Average Loss  0.867446, Time  0.424047
2021-09-09 22:55:46.749100 : Epoch  2, Batch    721, Loss  0.598546, Average Loss  0.605817, Time  0.262798
2021-09-09 22:55:48.678066 : Epoch  2, Batch    722, Loss  0.599577, Average Loss  0.605762, Time  0.264195
2021-09-09 22:55:50.629018 : Epoch  2, Batch    723, Loss  0.614018, Average Loss  0.605768, Time  0.274583
2021-09-09 22:55:52.518274 : Epoch  2, Batch    724, Loss  0.609823, Average Loss  0.605820, Time  0.258675
2021-09-09 22:55:54.407787 : Epoch  2, Batch    725, Loss  0.605568, Average Loss  0.605792, Time  0.258515
2021-09-09 22:55:56.285144 : Epoch  2, Batch    726, Loss  0.608147, Average Loss  0.605781, Time  0.258507
2021-09-09 22:55:58.188937 : Epoch  2, Batch    727, Loss  0.595530, Average Loss  0.605742, Time  0.270656
2021-09-09 22:56:00.102090 : Epoch  2, Batch    728, Loss  0.610355, Average Loss  0.605738, Time  0.258184
2021-09-09 22:56:01.995897 : Epoch  2, Batch    729, Loss  0.606100, Average Loss  0.605725, Time  0.262159
2021-09-09 22:56:03.869907 : Epoch  2, Batch    730, Loss  0.595485, Average Loss  0.605633, Time  0.258939
2021-09-09 22:56:05.755808 : Epoch  2, Batch    731, Loss  0.607419, Average Loss  0.605591, Time  0.265640
2021-09-09 22:56:07.673835 : Epoch  2, Batch    732, Loss  0.592040, Average Loss  0.605512, Time  0.258757
2021-09-09 22:56:09.607143 : Epoch  2, Batch    733, Loss  0.601326, Average Loss  0.605460, Time  0.258564
2021-09-09 22:56:11.512920 : Epoch  2, Batch    734, Loss  0.608096, Average Loss  0.605404, Time  0.258168
2021-09-09 22:56:13.437861 : Epoch  2, Batch    735, Loss  0.600765, Average Loss  0.605356, Time  0.262204
2021-09-09 22:56:15.304810 : Epoch  2, Batch    736, Loss  0.594603, Average Loss  0.605330, Time  0.259018
2021-09-09 22:56:17.177275 : Epoch  2, Batch    737, Loss  0.590375, Average Loss  0.605251, Time  0.260276
2021-09-09 22:56:19.058507 : Epoch  2, Batch    738, Loss  0.603946, Average Loss  0.605190, Time  0.258606
2021-09-09 22:56:20.928928 : Epoch  2, Batch    739, Loss  0.598095, Average Loss  0.605169, Time  0.260375
2021-09-09 22:56:22.818935 : Epoch  2, Batch    740, Loss  0.607589, Average Loss  0.605143, Time  0.264848
2021-09-09 22:56:24.704846 : Epoch  2, Batch    741, Loss  0.594730, Average Loss  0.605130, Time  0.258714
2021-09-09 22:56:26.590108 : Epoch  2, Batch    742, Loss  0.604878, Average Loss  0.605076, Time  0.258223
2021-09-09 22:56:28.493961 : Epoch  2, Batch    743, Loss  0.600281, Average Loss  0.605053, Time  0.258070
2021-09-09 22:56:30.385782 : Epoch  2, Batch    744, Loss  0.606241, Average Loss  0.605075, Time  0.258715
2021-09-09 22:56:32.276075 : Epoch  2, Batch    745, Loss  0.607944, Average Loss  0.605126, Time  0.258737
2021-09-09 22:56:34.161887 : Epoch  2, Batch    746, Loss  0.604512, Average Loss  0.605099, Time  0.273067
2021-09-09 22:56:36.036145 : Epoch  2, Batch    747, Loss  0.612718, Average Loss  0.605099, Time  0.267366
2021-09-09 22:56:37.949849 : Epoch  2, Batch    748, Loss  0.604232, Average Loss  0.605084, Time  0.266783
2021-09-09 22:56:39.816770 : Epoch  2, Batch    749, Loss  0.597578, Average Loss  0.605024, Time  0.262984
2021-09-09 22:56:41.686926 : Epoch  2, Batch    750, Loss  0.598730, Average Loss  0.604999, Time  0.259196
2021-09-09 22:56:43.582817 : Epoch  2, Batch    751, Loss  0.598578, Average Loss  0.605000, Time  0.259063
2021-09-09 22:56:45.489779 : Epoch  2, Batch    752, Loss  0.600907, Average Loss  0.604952, Time  0.261615
2021-09-09 22:56:47.399087 : Epoch  2, Batch    753, Loss  0.606540, Average Loss  0.604950, Time  0.260982
2021-09-09 22:56:49.318833 : Epoch  2, Batch    754, Loss  0.603924, Average Loss  0.604918, Time  0.259048
2021-09-09 22:56:51.224088 : Epoch  2, Batch    755, Loss  0.597609, Average Loss  0.604873, Time  0.271242
2021-09-09 22:56:53.095768 : Epoch  2, Batch    756, Loss  0.597393, Average Loss  0.604784, Time  0.258544
2021-09-09 22:56:54.976130 : Epoch  2, Batch    757, Loss  0.606000, Average Loss  0.604755, Time  0.260007
2021-09-09 22:56:56.866819 : Epoch  2, Batch    758, Loss  0.613712, Average Loss  0.604756, Time  0.260663
2021-09-09 22:56:58.755772 : Epoch  2, Batch    759, Loss  0.605306, Average Loss  0.604741, Time  0.258742
2021-09-09 22:57:00.634090 : Epoch  2, Batch    760, Loss  0.608496, Average Loss  0.604745, Time  0.261233
2021-09-09 22:57:02.526870 : Epoch  2, Batch    761, Loss  0.594384, Average Loss  0.604677, Time  0.277306
2021-09-09 22:57:04.428099 : Epoch  2, Batch    762, Loss  0.603624, Average Loss  0.604603, Time  0.259129
2021-09-09 22:57:06.323802 : Epoch  2, Batch    763, Loss  0.589308, Average Loss  0.604515, Time  0.267875
2021-09-09 22:57:08.189785 : Epoch  2, Batch    764, Loss  0.612698, Average Loss  0.604544, Time  0.259446
2021-09-09 22:57:10.056850 : Epoch  2, Batch    765, Loss  0.613978, Average Loss  0.604511, Time  0.261936
2021-09-09 22:57:11.923848 : Epoch  2, Batch    766, Loss  0.588513, Average Loss  0.604415, Time  0.260683
2021-09-09 22:57:13.842081 : Epoch  2, Batch    767, Loss  0.610204, Average Loss  0.604431, Time  0.267380
2021-09-09 22:57:15.745929 : Epoch  2, Batch    768, Loss  0.594529, Average Loss  0.604384, Time  0.258390
2021-09-09 22:57:17.649841 : Epoch  2, Batch    769, Loss  0.610590, Average Loss  0.604479, Time  0.259410
2021-09-09 22:57:19.557925 : Epoch  2, Batch    770, Loss  0.584395, Average Loss  0.604368, Time  0.272082
2021-09-09 22:57:21.436793 : Epoch  2, Batch    771, Loss  0.597857, Average Loss  0.604312, Time  0.258525
2021-09-09 22:57:23.357303 : Epoch  2, Batch    772, Loss  0.598078, Average Loss  0.604288, Time  0.259858
2021-09-09 22:57:25.227086 : Epoch  2, Batch    773, Loss  0.610048, Average Loss  0.604296, Time  0.266165
2021-09-09 22:57:27.098814 : Epoch  2, Batch    774, Loss  0.605688, Average Loss  0.604270, Time  0.259274
2021-09-09 22:57:28.993576 : Epoch  2, Batch    775, Loss  0.604337, Average Loss  0.604294, Time  0.263280
2021-09-09 22:57:30.872796 : Epoch  2, Batch    776, Loss  0.583293, Average Loss  0.604255, Time  0.258677
2021-09-09 22:57:32.758936 : Epoch  2, Batch    777, Loss  0.603916, Average Loss  0.604255, Time  0.262587
2021-09-09 22:57:34.633781 : Epoch  2, Batch    778, Loss  0.599259, Average Loss  0.604292, Time  0.258399
2021-09-09 22:57:36.546112 : Epoch  2, Batch    779, Loss  0.601707, Average Loss  0.604199, Time  0.258916
2021-09-09 22:57:38.475784 : Epoch  2, Batch    780, Loss  0.607709, Average Loss  0.604149, Time  0.266752
2021-09-09 22:57:40.405145 : Epoch  2, Batch    781, Loss  0.593676, Average Loss  0.604020, Time  0.268745
2021-09-09 22:57:42.309823 : Epoch  2, Batch    782, Loss  0.602991, Average Loss  0.604051, Time  0.262877
2021-09-09 22:57:44.221136 : Epoch  2, Batch    783, Loss  0.594261, Average Loss  0.604006, Time  0.268980
2021-09-09 22:57:48.269196 : Epoch  2, Batch    784, Loss  0.598316, Average Loss  0.603898, Time  0.281534
2021-09-09 22:57:50.203149 : Epoch  2, Batch    785, Loss  0.609418, Average Loss  0.603952, Time  0.267531
2021-09-09 22:57:52.091176 : Epoch  2, Batch    786, Loss  0.594869, Average Loss  0.603940, Time  0.258938
2021-09-09 22:57:53.979246 : Epoch  2, Batch    787, Loss  0.610510, Average Loss  0.603929, Time  0.263321
2021-09-09 22:57:54.014631 : Saving Model after 2-th Epoch.
2021-09-09 22:57:54.994676 : Epoch Finished.
2021-09-09 22:57:56.941576 : Batch Shuffled
2021-09-09 22:57:58.833188 : Epoch  3, Batch      1, Loss  0.594869, Average Loss  0.603904, Time  0.259131
2021-09-09 22:58:00.704898 : Epoch  3, Batch      2, Loss  0.610006, Average Loss  0.603946, Time  0.261613
2021-09-09 22:58:02.571852 : Epoch  3, Batch      3, Loss  0.599505, Average Loss  0.603909, Time  0.265749
2021-09-09 22:58:04.439073 : Epoch  3, Batch      4, Loss  0.610418, Average Loss  0.603936, Time  0.261770
2021-09-09 22:58:06.327766 : Epoch  3, Batch      5, Loss  0.594931, Average Loss  0.603904, Time  0.258666
2021-09-09 22:58:08.234182 : Epoch  3, Batch      6, Loss  0.605148, Average Loss  0.603949, Time  0.260457
2021-09-09 22:58:10.143901 : Epoch  3, Batch      7, Loss  0.603772, Average Loss  0.603920, Time  0.259102
2021-09-09 22:58:12.023931 : Epoch  3, Batch      8, Loss  0.601696, Average Loss  0.603879, Time  0.261058
2021-09-09 22:58:13.887023 : Epoch  3, Batch      9, Loss  0.601991, Average Loss  0.603836, Time  0.259153
2021-09-09 22:58:15.775875 : Epoch  3, Batch     10, Loss  0.606168, Average Loss  0.603867, Time  0.259504
2021-09-09 22:58:17.660093 : Epoch  3, Batch     11, Loss  0.597493, Average Loss  0.603796, Time  0.258111
2021-09-09 22:58:19.532088 : Epoch  3, Batch     12, Loss  0.595760, Average Loss  0.603756, Time  0.262199
2021-09-09 22:58:21.406808 : Epoch  3, Batch     13, Loss  0.595458, Average Loss  0.603650, Time  0.258334
2021-09-09 22:58:23.275100 : Epoch  3, Batch     14, Loss  0.610239, Average Loss  0.603676, Time  0.262406
2021-09-09 22:58:25.150161 : Epoch  3, Batch     15, Loss  0.601180, Average Loss  0.603629, Time  0.260038
2021-09-09 22:58:27.026768 : Epoch  3, Batch     16, Loss  0.599403, Average Loss  0.603624, Time  0.262197
2021-09-09 22:58:28.959885 : Epoch  3, Batch     17, Loss  0.588890, Average Loss  0.603505, Time  0.262662
2021-09-09 22:58:30.834925 : Epoch  3, Batch     18, Loss  0.584840, Average Loss  0.603388, Time  0.264352
2021-09-09 22:58:32.749824 : Epoch  3, Batch     19, Loss  0.607633, Average Loss  0.603386, Time  0.275389
2021-09-09 22:58:34.614183 : Epoch  3, Batch     20, Loss  0.616328, Average Loss  0.603429, Time  0.259553
2021-09-09 22:58:36.488772 : Epoch  3, Batch     21, Loss  0.609218, Average Loss  0.603499, Time  0.261361
2021-09-09 22:58:38.360085 : Epoch  3, Batch     22, Loss  0.597404, Average Loss  0.603446, Time  0.260733
2021-09-09 22:58:40.241879 : Epoch  3, Batch     23, Loss  0.597357, Average Loss  0.603349, Time  0.258507
2021-09-09 22:58:42.134094 : Epoch  3, Batch     24, Loss  0.595281, Average Loss  0.603269, Time  0.263887
2021-09-09 22:58:44.004944 : Epoch  3, Batch     25, Loss  0.602838, Average Loss  0.603312, Time  0.262069
2021-09-09 22:58:45.897781 : Epoch  3, Batch     26, Loss  0.598086, Average Loss  0.603255, Time  0.258891
2021-09-09 22:59:55.534738 : CheckPoint: Validation Loss  0.00024884, Best Loss  0.00024693
2021-09-09 22:59:57.439896 : Epoch  3, Batch     27, Loss  0.600015, Average Loss  0.603175, Time  0.267557
2021-09-09 22:59:59.306909 : Epoch  3, Batch     28, Loss  0.595820, Average Loss  0.603136, Time  0.261574
2021-09-09 23:00:01.183293 : Epoch  3, Batch     29, Loss  0.588495, Average Loss  0.603058, Time  0.258576
2021-09-09 23:00:03.066080 : Epoch  3, Batch     30, Loss  0.597858, Average Loss  0.603008, Time  0.258250
2021-09-09 23:00:04.943842 : Epoch  3, Batch     31, Loss  0.602368, Average Loss  0.603024, Time  0.258109
2021-09-09 23:00:06.826800 : Epoch  3, Batch     32, Loss  0.593921, Average Loss  0.602923, Time  0.258547
2021-09-09 23:00:08.698714 : Epoch  3, Batch     33, Loss  0.609688, Average Loss  0.602957, Time  0.259931
2021-09-09 23:00:10.582766 : Epoch  3, Batch     34, Loss  0.603319, Average Loss  0.602945, Time  0.262916
2021-09-09 23:00:12.459796 : Epoch  3, Batch     35, Loss  0.593853, Average Loss  0.602946, Time  0.259298
2021-09-09 23:00:14.362851 : Epoch  3, Batch     36, Loss  0.607565, Average Loss  0.602955, Time  0.262934
2021-09-09 23:00:16.234828 : Epoch  3, Batch     37, Loss  0.593563, Average Loss  0.602901, Time  0.260617
2021-09-09 23:00:18.123966 : Epoch  3, Batch     38, Loss  0.598504, Average Loss  0.602803, Time  0.260675
2021-09-09 23:00:20.000868 : Epoch  3, Batch     39, Loss  0.594740, Average Loss  0.602818, Time  0.258586
2021-09-09 23:00:21.879083 : Epoch  3, Batch     40, Loss  0.600576, Average Loss  0.602740, Time  0.261237
2021-09-09 23:00:23.750754 : Epoch  3, Batch     41, Loss  0.594940, Average Loss  0.602700, Time  0.262080
2021-09-09 23:00:25.633884 : Epoch  3, Batch     42, Loss  0.602222, Average Loss  0.602700, Time  0.258925
2021-09-09 23:00:27.522750 : Epoch  3, Batch     43, Loss  0.605951, Average Loss  0.602733, Time  0.261198
2021-09-09 23:00:29.395078 : Epoch  3, Batch     44, Loss  0.596673, Average Loss  0.602696, Time  0.259377
2021-09-09 23:00:31.275100 : Epoch  3, Batch     45, Loss  0.604932, Average Loss  0.602695, Time  0.264142
2021-09-09 23:00:33.140117 : Epoch  3, Batch     46, Loss  0.591256, Average Loss  0.602597, Time  0.261914
2021-09-09 23:00:35.031783 : Epoch  3, Batch     47, Loss  0.607066, Average Loss  0.602601, Time  0.262175
2021-09-09 23:00:36.522714 : CheckPoint: Validation Loss  0.00063737, Best Loss  0.00056427
2021-09-09 23:00:36.900064 : Epoch  3, Batch     48, Loss  0.601630, Average Loss  0.602537, Time  0.261359
2021-09-09 23:00:38.376841 : Epoch  7, Batch   2835, Loss  0.852869, Average Loss  0.867334, Time  0.433077
2021-09-09 23:00:38.786070 : Epoch  3, Batch     49, Loss  0.599153, Average Loss  0.602512, Time  0.258135
2021-09-09 23:00:40.250688 : Epoch  7, Batch   2836, Loss  0.879086, Average Loss  0.867556, Time  0.464119
2021-09-09 23:00:40.656067 : Epoch  3, Batch     50, Loss  0.593899, Average Loss  0.602487, Time  0.265670
2021-09-09 23:00:42.041793 : Epoch  7, Batch   2837, Loss  0.862790, Average Loss  0.867435, Time  0.357894
2021-09-09 23:00:42.570829 : Epoch  3, Batch     51, Loss  0.602154, Average Loss  0.602525, Time  0.268574
2021-09-09 23:00:43.826780 : Epoch  7, Batch   2838, Loss  0.836826, Average Loss  0.867482, Time  0.362904
2021-09-09 23:00:44.462105 : Epoch  3, Batch     52, Loss  0.598871, Average Loss  0.602490, Time  0.268860
2021-09-09 23:00:45.651774 : Epoch  7, Batch   2839, Loss  0.894655, Average Loss  0.867582, Time  0.379690
2021-09-09 23:00:46.353850 : Epoch  3, Batch     53, Loss  0.601166, Average Loss  0.602446, Time  0.261883
2021-09-09 23:00:47.546782 : Epoch  7, Batch   2840, Loss  0.870137, Average Loss  0.867531, Time  0.450337
2021-09-09 23:00:48.243075 : Epoch  3, Batch     54, Loss  0.609568, Average Loss  0.602485, Time  0.262779
2021-09-09 23:00:49.317767 : Epoch  7, Batch   2841, Loss  0.861334, Average Loss  0.867412, Time  0.348563
2021-09-09 23:00:50.137080 : Epoch  3, Batch     55, Loss  0.605311, Average Loss  0.602479, Time  0.258538
2021-09-09 23:00:51.090151 : Epoch  7, Batch   2842, Loss  0.860422, Average Loss  0.867350, Time  0.357384
2021-09-09 23:00:52.018768 : Epoch  3, Batch     56, Loss  0.587329, Average Loss  0.602365, Time  0.264427
2021-09-09 23:00:52.862025 : Epoch  7, Batch   2843, Loss  0.872684, Average Loss  0.867291, Time  0.367896
2021-09-09 23:00:53.896930 : Epoch  3, Batch     57, Loss  0.604669, Average Loss  0.602372, Time  0.259188
2021-09-09 23:00:54.739788 : Epoch  7, Batch   2844, Loss  0.874657, Average Loss  0.867460, Time  0.459863
2021-09-09 23:00:55.826087 : Epoch  3, Batch     58, Loss  0.599431, Average Loss  0.602336, Time  0.259025
2021-09-09 23:00:56.523809 : Epoch  7, Batch   2845, Loss  0.856809, Average Loss  0.867421, Time  0.370868
2021-09-09 23:00:57.739771 : Epoch  3, Batch     59, Loss  0.607116, Average Loss  0.602331, Time  0.259594
2021-09-09 23:00:58.309704 : Epoch  7, Batch   2846, Loss  0.851565, Average Loss  0.867293, Time  0.357608
2021-09-09 23:00:59.645823 : Epoch  3, Batch     60, Loss  0.600262, Average Loss  0.602350, Time  0.258631
2021-09-09 23:01:00.122775 : Epoch  7, Batch   2847, Loss  0.876795, Average Loss  0.867343, Time  0.385434
2021-09-09 23:01:01.536772 : Epoch  3, Batch     61, Loss  0.602010, Average Loss  0.602342, Time  0.258539
2021-09-09 23:01:01.999669 : Epoch  7, Batch   2848, Loss  0.858688, Average Loss  0.867331, Time  0.459256
2021-09-09 23:01:03.409399 : Epoch  3, Batch     62, Loss  0.611516, Average Loss  0.602361, Time  0.258640
2021-09-09 23:01:03.757776 : Epoch  7, Batch   2849, Loss  0.867736, Average Loss  0.867347, Time  0.358206
2021-09-09 23:01:05.281887 : Epoch  3, Batch     63, Loss  0.607720, Average Loss  0.602373, Time  0.262927
2021-09-09 23:01:05.537767 : Epoch  7, Batch   2850, Loss  0.877228, Average Loss  0.867329, Time  0.355307
2021-09-09 23:01:07.142827 : Epoch  3, Batch     64, Loss  0.590511, Average Loss  0.602297, Time  0.258512
2021-09-09 23:01:07.349823 : Epoch  7, Batch   2851, Loss  0.847414, Average Loss  0.867230, Time  0.388354
2021-09-09 23:01:09.050115 : Epoch  3, Batch     65, Loss  0.594110, Average Loss  0.602214, Time  0.258804
2021-09-09 23:01:09.218828 : Epoch  7, Batch   2852, Loss  0.855510, Average Loss  0.867216, Time  0.453182
2021-09-09 23:01:09.248015 : Epoch  3, Batch     66, Loss  0.480492, Average Loss  0.601610, Time  0.114301
2021-09-09 23:01:10.999770 : Epoch  7, Batch   2853, Loss  0.886749, Average Loss  0.867278, Time  0.356539
2021-09-09 23:01:11.143893 : Epoch  3, Batch     67, Loss  0.612264, Average Loss  0.601656, Time  0.260448
2021-09-09 23:01:12.799809 : Epoch  7, Batch   2854, Loss  0.890145, Average Loss  0.867487, Time  0.360197
2021-09-09 23:01:13.030768 : Epoch  3, Batch     68, Loss  0.620592, Average Loss  0.601711, Time  0.262583
2021-09-09 23:01:14.615808 : Epoch  7, Batch   2855, Loss  0.869507, Average Loss  0.867354, Time  0.381583
2021-09-09 23:01:14.901891 : Epoch  3, Batch     69, Loss  0.625017, Average Loss  0.601777, Time  0.258860
2021-09-09 23:01:16.508793 : Epoch  7, Batch   2856, Loss  0.863092, Average Loss  0.867420, Time  0.452003
2021-09-09 23:01:16.787789 : Epoch  3, Batch     70, Loss  0.625644, Average Loss  0.601843, Time  0.259440
2021-09-09 23:01:18.292783 : Epoch  7, Batch   2857, Loss  0.867340, Average Loss  0.867324, Time  0.334455
2021-09-09 23:01:18.656768 : Epoch  3, Batch     71, Loss  0.627793, Average Loss  0.601989, Time  0.259135
2021-09-09 23:01:20.100780 : Epoch  7, Batch   2858, Loss  0.868068, Average Loss  0.867449, Time  0.355457
2021-09-09 23:01:20.539958 : Epoch  3, Batch     72, Loss  0.616111, Average Loss  0.602086, Time  0.258889
2021-09-09 23:01:21.893100 : Epoch  7, Batch   2859, Loss  0.874854, Average Loss  0.867415, Time  0.355466
2021-09-09 23:01:22.410826 : Epoch  3, Batch     73, Loss  0.617349, Average Loss  0.602124, Time  0.262641
2021-09-09 23:01:23.791079 : Epoch  7, Batch   2860, Loss  0.863914, Average Loss  0.867158, Time  0.453267
2021-09-09 23:01:24.290096 : Epoch  3, Batch     74, Loss  0.618886, Average Loss  0.602217, Time  0.263906
2021-09-09 23:01:25.656863 : Epoch  7, Batch   2861, Loss  0.865919, Average Loss  0.867226, Time  0.421283
2021-09-09 23:01:26.161124 : Epoch  3, Batch     75, Loss  0.623053, Average Loss  0.602266, Time  0.258029
2021-09-09 23:01:27.455967 : Epoch  7, Batch   2862, Loss  0.880709, Average Loss  0.867329, Time  0.356589
2021-09-09 23:01:28.033081 : Epoch  3, Batch     76, Loss  0.609972, Average Loss  0.602224, Time  0.261807
2021-09-09 23:01:29.255765 : Epoch  7, Batch   2863, Loss  0.863065, Average Loss  0.867188, Time  0.356266
2021-09-09 23:01:29.932088 : Epoch  3, Batch     77, Loss  0.609465, Average Loss  0.602276, Time  0.258635
2021-09-09 23:01:31.124786 : Epoch  7, Batch   2864, Loss  0.887099, Average Loss  0.867355, Time  0.430069
2021-09-09 23:01:31.816031 : Epoch  3, Batch     78, Loss  0.607737, Average Loss  0.602272, Time  0.262111
2021-09-09 23:01:33.028883 : Epoch  7, Batch   2865, Loss  0.884059, Average Loss  0.867543, Time  0.464388
2021-09-09 23:01:33.677816 : Epoch  3, Batch     79, Loss  0.606601, Average Loss  0.602309, Time  0.258545
2021-09-09 23:01:34.866784 : Epoch  7, Batch   2866, Loss  0.892509, Average Loss  0.867892, Time  0.389054
2021-09-09 23:01:35.564074 : Epoch  3, Batch     80, Loss  0.606303, Average Loss  0.602332, Time  0.273502
2021-09-09 23:01:36.712786 : Epoch  7, Batch   2867, Loss  0.866890, Average Loss  0.867770, Time  0.359324
2021-09-09 23:01:37.458785 : Epoch  3, Batch     81, Loss  0.614980, Average Loss  0.602373, Time  0.264346
2021-09-09 23:01:38.515784 : Epoch  7, Batch   2868, Loss  0.891846, Average Loss  0.867968, Time  0.358540
2021-09-09 23:01:39.365097 : Epoch  3, Batch     82, Loss  0.605911, Average Loss  0.602411, Time  0.257919
2021-09-09 23:01:40.379766 : Epoch  7, Batch   2869, Loss  0.872517, Average Loss  0.868025, Time  0.448936
2021-09-09 23:01:41.250760 : Epoch  3, Batch     83, Loss  0.606776, Average Loss  0.602401, Time  0.261052
2021-09-09 23:01:42.247927 : Epoch  7, Batch   2870, Loss  0.829583, Average Loss  0.867768, Time  0.447523
2021-09-09 23:01:43.141090 : Epoch  3, Batch     84, Loss  0.605684, Average Loss  0.602431, Time  0.259693
2021-09-09 23:01:44.026848 : Epoch  7, Batch   2871, Loss  0.853751, Average Loss  0.867698, Time  0.367296
2021-09-09 23:01:45.070849 : Epoch  3, Batch     85, Loss  0.620089, Average Loss  0.602533, Time  0.266881
2021-09-09 23:01:45.803822 : Epoch  7, Batch   2872, Loss  0.870141, Average Loss  0.867619, Time  0.364440
2021-09-09 23:01:46.977800 : Epoch  3, Batch     86, Loss  0.592940, Average Loss  0.602478, Time  0.265178
2021-09-09 23:01:47.633826 : Epoch  7, Batch   2873, Loss  0.837386, Average Loss  0.867559, Time  0.402975
2021-09-09 23:01:48.866855 : Epoch  3, Batch     87, Loss  0.605157, Average Loss  0.602448, Time  0.267357
2021-09-09 23:01:49.534776 : Epoch  7, Batch   2874, Loss  0.872973, Average Loss  0.867720, Time  0.479738
2021-09-09 23:01:50.733782 : Epoch  3, Batch     88, Loss  0.610275, Average Loss  0.602517, Time  0.258348
2021-09-09 23:01:51.291802 : Epoch  7, Batch   2875, Loss  0.872817, Average Loss  0.867726, Time  0.336499
2021-09-09 23:01:52.641857 : Epoch  3, Batch     89, Loss  0.607843, Average Loss  0.602503, Time  0.260513
2021-09-09 23:01:53.091801 : Epoch  7, Batch   2876, Loss  0.864613, Average Loss  0.867868, Time  0.364069
2021-09-09 23:01:54.505892 : Epoch  3, Batch     90, Loss  0.604255, Average Loss  0.602532, Time  0.258243
2021-09-09 23:01:54.851235 : Epoch  7, Batch   2877, Loss  0.868172, Average Loss  0.867914, Time  0.363704
2021-09-09 23:01:56.397942 : Epoch  3, Batch     91, Loss  0.595094, Average Loss  0.602505, Time  0.258210
2021-09-09 23:01:56.723798 : Epoch  7, Batch   2878, Loss  0.883663, Average Loss  0.868158, Time  0.465205
2021-09-09 23:01:58.334211 : Epoch  3, Batch     92, Loss  0.607258, Average Loss  0.602516, Time  0.258671
2021-09-09 23:01:58.507773 : Epoch  7, Batch   2879, Loss  0.869256, Average Loss  0.868035, Time  0.356827
2021-09-09 23:02:00.216764 : Epoch  3, Batch     93, Loss  0.608563, Average Loss  0.602572, Time  0.258695
2021-09-09 23:02:00.297873 : Epoch  7, Batch   2880, Loss  0.851781, Average Loss  0.867893, Time  0.360263
2021-09-09 23:02:02.095091 : Epoch  3, Batch     94, Loss  0.601961, Average Loss  0.602581, Time  0.258370
2021-09-09 23:02:02.134861 : Epoch  7, Batch   2881, Loss  0.844065, Average Loss  0.867864, Time  0.375561
2021-09-09 23:02:03.968009 : Epoch  3, Batch     95, Loss  0.601882, Average Loss  0.602515, Time  0.258535
2021-09-09 23:02:04.062820 : Epoch  7, Batch   2882, Loss  0.859730, Average Loss  0.867738, Time  0.454041
2021-09-09 23:02:05.854994 : Epoch  3, Batch     96, Loss  0.594587, Average Loss  0.602422, Time  0.261097
2021-09-09 23:02:05.933506 : Epoch  7, Batch   2883, Loss  0.876544, Average Loss  0.867790, Time  0.428603
2021-09-09 23:02:07.703786 : Epoch  7, Batch   2884, Loss  0.875461, Average Loss  0.867922, Time  0.358413
2021-09-09 23:02:07.755997 : Epoch  3, Batch     97, Loss  0.603141, Average Loss  0.602505, Time  0.261682
2021-09-09 23:02:09.490290 : Epoch  7, Batch   2885, Loss  0.871259, Average Loss  0.867923, Time  0.368723
2021-09-09 23:02:11.326818 : Epoch  7, Batch   2886, Loss  0.853803, Average Loss  0.867807, Time  0.421391
2021-09-09 23:02:11.738615 : Epoch  3, Batch     98, Loss  0.607577, Average Loss  0.602542, Time  0.267918
2021-09-09 23:02:13.230794 : Epoch  7, Batch   2887, Loss  0.859740, Average Loss  0.867809, Time  0.449617
2021-09-09 23:02:13.602848 : Epoch  3, Batch     99, Loss  0.592044, Average Loss  0.602477, Time  0.262010
2021-09-09 23:02:15.004815 : Epoch  7, Batch   2888, Loss  0.890063, Average Loss  0.867987, Time  0.359102
2021-09-09 23:02:15.487756 : Epoch  3, Batch    100, Loss  0.607168, Average Loss  0.602495, Time  0.269535
2021-09-09 23:02:16.772779 : Epoch  7, Batch   2889, Loss  0.869902, Average Loss  0.867919, Time  0.356307
2021-09-09 23:02:17.383074 : Epoch  3, Batch    101, Loss  0.609402, Average Loss  0.602461, Time  0.258751
2021-09-09 23:02:18.608909 : Epoch  7, Batch   2890, Loss  0.857726, Average Loss  0.867842, Time  0.407927
2021-09-09 23:02:19.315127 : Epoch  3, Batch    102, Loss  0.595607, Average Loss  0.602427, Time  0.258905
2021-09-09 23:02:20.506781 : Epoch  7, Batch   2891, Loss  0.875612, Average Loss  0.867904, Time  0.454963
2021-09-09 23:02:21.213449 : Epoch  3, Batch    103, Loss  0.607258, Average Loss  0.602397, Time  0.261009
2021-09-09 23:02:22.359838 : Epoch  7, Batch   2892, Loss  0.867406, Average Loss  0.867908, Time  0.408288
2021-09-09 23:02:23.108042 : Epoch  3, Batch    104, Loss  0.597219, Average Loss  0.602336, Time  0.258456
2021-09-09 23:02:24.154823 : Epoch  7, Batch   2893, Loss  0.856413, Average Loss  0.867885, Time  0.357436
2021-09-09 23:02:25.006936 : Epoch  3, Batch    105, Loss  0.610572, Average Loss  0.602372, Time  0.258410
2021-09-09 23:02:25.972782 : Epoch  7, Batch   2894, Loss  0.873349, Average Loss  0.867902, Time  0.360352
2021-09-09 23:02:26.875625 : Epoch  3, Batch    106, Loss  0.594547, Average Loss  0.602304, Time  0.262951
2021-09-09 23:02:27.841916 : Epoch  7, Batch   2895, Loss  0.838757, Average Loss  0.867796, Time  0.438323
2021-09-09 23:02:28.771780 : Epoch  3, Batch    107, Loss  0.610769, Average Loss  0.602321, Time  0.258798
2021-09-09 23:02:29.714139 : Epoch  7, Batch   2896, Loss  0.858656, Average Loss  0.867784, Time  0.450851
2021-09-09 23:02:30.649725 : Epoch  3, Batch    108, Loss  0.607214, Average Loss  0.602333, Time  0.260550
2021-09-09 23:02:31.501785 : Epoch  7, Batch   2897, Loss  0.847136, Average Loss  0.867597, Time  0.364639
2021-09-09 23:02:32.535854 : Epoch  3, Batch    109, Loss  0.600085, Average Loss  0.602304, Time  0.262450
2021-09-09 23:02:33.310798 : Epoch  7, Batch   2898, Loss  0.872971, Average Loss  0.867636, Time  0.359021
2021-09-09 23:02:34.429937 : Epoch  3, Batch    110, Loss  0.597446, Average Loss  0.602233, Time  0.259154
2021-09-09 23:02:35.111782 : Epoch  7, Batch   2899, Loss  0.854984, Average Loss  0.867491, Time  0.377434
2021-09-09 23:02:36.325803 : Epoch  3, Batch    111, Loss  0.601594, Average Loss  0.602194, Time  0.261374
2021-09-09 23:02:37.002246 : Epoch  7, Batch   2900, Loss  0.847595, Average Loss  0.867412, Time  0.452939
2021-09-09 23:02:38.251415 : Epoch  3, Batch    112, Loss  0.594772, Average Loss  0.602126, Time  0.259614
2021-09-09 23:02:38.806775 : Epoch  7, Batch   2901, Loss  0.882372, Average Loss  0.867571, Time  0.351494
2021-09-09 23:02:40.145401 : Epoch  3, Batch    113, Loss  0.608465, Average Loss  0.602132, Time  0.260087
2021-09-09 23:02:40.635776 : Epoch  7, Batch   2902, Loss  0.881835, Average Loss  0.867431, Time  0.370877
2021-09-09 23:02:42.019092 : Epoch  3, Batch    114, Loss  0.584928, Average Loss  0.602007, Time  0.260803
2021-09-09 23:02:42.421773 : Epoch  7, Batch   2903, Loss  0.884999, Average Loss  0.867490, Time  0.358472
2021-09-09 23:02:43.915772 : Epoch  3, Batch    115, Loss  0.601047, Average Loss  0.601993, Time  0.261288
2021-09-09 23:02:44.305761 : Epoch  7, Batch   2904, Loss  0.862752, Average Loss  0.867491, Time  0.453493
2021-09-09 23:02:45.798173 : Epoch  3, Batch    116, Loss  0.595582, Average Loss  0.601980, Time  0.260840
2021-09-09 23:02:46.173777 : Epoch  7, Batch   2905, Loss  0.885296, Average Loss  0.867707, Time  0.438354
2021-09-09 23:02:47.697267 : Epoch  3, Batch    117, Loss  0.614724, Average Loss  0.602033, Time  0.258786
2021-09-09 23:02:47.974768 : Epoch  7, Batch   2906, Loss  0.848378, Average Loss  0.867529, Time  0.365632
2021-09-09 23:02:49.579863 : Epoch  3, Batch    118, Loss  0.612303, Average Loss  0.602083, Time  0.258551
2021-09-09 23:02:49.761760 : Epoch  7, Batch   2907, Loss  0.846774, Average Loss  0.867369, Time  0.359034
2021-09-09 23:02:51.477765 : Epoch  3, Batch    119, Loss  0.594630, Average Loss  0.602008, Time  0.258785
2021-09-09 23:02:51.633184 : Epoch  7, Batch   2908, Loss  0.893049, Average Loss  0.867497, Time  0.437541
2021-09-09 23:02:53.400092 : Epoch  3, Batch    120, Loss  0.597903, Average Loss  0.602091, Time  0.261630
2021-09-09 23:02:53.528140 : Epoch  7, Batch   2909, Loss  0.863084, Average Loss  0.867469, Time  0.457211
2021-09-09 23:02:55.296863 : Epoch  3, Batch    121, Loss  0.599753, Average Loss  0.602104, Time  0.261131
2021-09-09 23:02:55.356809 : Epoch  7, Batch   2910, Loss  0.889071, Average Loss  0.867617, Time  0.409504
2021-09-09 23:02:57.162923 : Epoch  7, Batch   2911, Loss  0.887642, Average Loss  0.867835, Time  0.363653
2021-09-09 23:02:57.194010 : Epoch  3, Batch    122, Loss  0.595961, Average Loss  0.602118, Time  0.259338
2021-09-09 23:02:58.939142 : Epoch  7, Batch   2912, Loss  0.901262, Average Loss  0.868083, Time  0.366903
2021-09-09 23:02:59.077664 : Epoch  3, Batch    123, Loss  0.597516, Average Loss  0.602096, Time  0.259032
2021-09-09 23:03:00.806780 : Epoch  7, Batch   2913, Loss  0.898677, Average Loss  0.868243, Time  0.450515
2021-09-09 23:03:00.954963 : Epoch  3, Batch    124, Loss  0.593869, Average Loss  0.602011, Time  0.258784
2021-09-09 23:03:02.681201 : Epoch  7, Batch   2914, Loss  0.896241, Average Loss  0.868417, Time  0.459873
2021-09-09 23:03:02.829927 : Epoch  3, Batch    125, Loss  0.582490, Average Loss  0.601935, Time  0.258313
2021-09-09 23:03:04.462780 : Epoch  7, Batch   2915, Loss  0.852215, Average Loss  0.868006, Time  0.361644
2021-09-09 23:03:04.697864 : Epoch  3, Batch    126, Loss  0.610544, Average Loss  0.602036, Time  0.265068
2021-09-09 23:03:06.258122 : Epoch  7, Batch   2916, Loss  0.877874, Average Loss  0.868061, Time  0.360080
2021-09-09 23:03:08.076958 : Epoch  7, Batch   2917, Loss  0.882688, Average Loss  0.868022, Time  0.392582
2021-09-09 23:03:09.940836 : Epoch  7, Batch   2918, Loss  0.859134, Average Loss  0.868060, Time  0.455394
2021-09-09 23:03:11.717800 : Epoch  7, Batch   2919, Loss  0.862653, Average Loss  0.868043, Time  0.365266
2021-09-09 23:03:13.515770 : Epoch  7, Batch   2920, Loss  0.879492, Average Loss  0.867980, Time  0.370570
2021-09-09 23:03:15.319774 : Epoch  7, Batch   2921, Loss  0.848184, Average Loss  0.868046, Time  0.378354
2021-09-09 23:03:17.215780 : Epoch  7, Batch   2922, Loss  0.856176, Average Loss  0.867776, Time  0.459050
2021-09-09 23:03:19.092777 : Epoch  7, Batch   2923, Loss  0.827909, Average Loss  0.867448, Time  0.425417
2021-09-09 23:03:20.872791 : Epoch  7, Batch   2924, Loss  0.848225, Average Loss  0.867235, Time  0.356034
2021-09-09 23:03:22.649834 : Epoch  7, Batch   2925, Loss  0.883726, Average Loss  0.867141, Time  0.362744
2021-09-09 23:03:24.521822 : Epoch  7, Batch   2926, Loss  0.867918, Average Loss  0.867220, Time  0.444512
2021-09-09 23:03:26.448239 : Epoch  7, Batch   2927, Loss  0.877593, Average Loss  0.867287, Time  0.453409
2021-09-09 23:03:28.217804 : Epoch  7, Batch   2928, Loss  0.897881, Average Loss  0.867452, Time  0.349544
2021-09-09 23:03:29.986320 : Epoch  7, Batch   2929, Loss  0.882338, Average Loss  0.867617, Time  0.357061
2021-09-09 23:03:31.788096 : Epoch  7, Batch   2930, Loss  0.873511, Average Loss  0.867602, Time  0.369857
2021-09-09 23:03:33.690775 : Epoch  7, Batch   2931, Loss  0.844266, Average Loss  0.867483, Time  0.458492
2021-09-09 23:03:35.466816 : Epoch  7, Batch   2932, Loss  0.882535, Average Loss  0.867562, Time  0.349502
2021-09-09 23:03:37.239771 : Epoch  7, Batch   2933, Loss  0.870303, Average Loss  0.867692, Time  0.357340
2021-09-09 23:03:39.014156 : Epoch  7, Batch   2934, Loss  0.863550, Average Loss  0.867783, Time  0.358510
2021-09-09 23:04:14.408767 : CheckPoint: Validation Loss  0.00024834, Best Loss  0.00024693
2021-09-09 23:04:16.282989 : Epoch  3, Batch    127, Loss  0.601270, Average Loss  0.602018, Time  0.264802
2021-09-09 23:04:18.158890 : Epoch  3, Batch    128, Loss  0.600576, Average Loss  0.601988, Time  0.262109
2021-09-09 23:04:20.059955 : Epoch  3, Batch    129, Loss  0.596864, Average Loss  0.601966, Time  0.271602
2021-09-09 23:04:21.964803 : Epoch  3, Batch    130, Loss  0.608244, Average Loss  0.601991, Time  0.266002
2021-09-09 23:04:23.850906 : Epoch  3, Batch    131, Loss  0.598006, Average Loss  0.601984, Time  0.260206
2021-09-09 23:04:25.729765 : Epoch  3, Batch    132, Loss  0.594402, Average Loss  0.601944, Time  0.261574
2021-09-09 23:04:27.610777 : Epoch  3, Batch    133, Loss  0.589645, Average Loss  0.601836, Time  0.258677
2021-09-09 23:04:29.482740 : Epoch  3, Batch    134, Loss  0.605148, Average Loss  0.601869, Time  0.263567
2021-09-09 23:04:31.365993 : Epoch  3, Batch    135, Loss  0.591944, Average Loss  0.601831, Time  0.262635
2021-09-09 23:04:33.241878 : Epoch  3, Batch    136, Loss  0.615293, Average Loss  0.601837, Time  0.258518
2021-09-09 23:04:35.119879 : Epoch  3, Batch    137, Loss  0.595460, Average Loss  0.601765, Time  0.262765
2021-09-09 23:04:37.002779 : Epoch  3, Batch    138, Loss  0.593907, Average Loss  0.601707, Time  0.260106
2021-09-09 23:04:38.907915 : Epoch  3, Batch    139, Loss  0.596454, Average Loss  0.601649, Time  0.267797
2021-09-09 23:04:40.769772 : Epoch  3, Batch    140, Loss  0.589336, Average Loss  0.601618, Time  0.258581
2021-09-09 23:04:42.655107 : Epoch  3, Batch    141, Loss  0.591484, Average Loss  0.601523, Time  0.259420
2021-09-09 23:04:44.542812 : Epoch  3, Batch    142, Loss  0.598570, Average Loss  0.601486, Time  0.260328
2021-09-09 23:04:46.430857 : Epoch  3, Batch    143, Loss  0.593426, Average Loss  0.601475, Time  0.259100
2021-09-09 23:04:48.301780 : Epoch  3, Batch    144, Loss  0.601415, Average Loss  0.601445, Time  0.261650
2021-09-09 23:04:50.217786 : Epoch  3, Batch    145, Loss  0.602418, Average Loss  0.601497, Time  0.263904
2021-09-09 23:04:52.091082 : Epoch  3, Batch    146, Loss  0.601572, Average Loss  0.601498, Time  0.258241
2021-09-09 23:04:53.964987 : Epoch  3, Batch    147, Loss  0.601037, Average Loss  0.601463, Time  0.258735
2021-09-09 23:04:55.831083 : Epoch  3, Batch    148, Loss  0.601083, Average Loss  0.601465, Time  0.258144
2021-09-09 23:04:57.721880 : Epoch  3, Batch    149, Loss  0.601603, Average Loss  0.601500, Time  0.261231
2021-09-09 23:04:59.599085 : Epoch  3, Batch    150, Loss  0.586933, Average Loss  0.601483, Time  0.264130
2021-09-09 23:05:01.474272 : Epoch  3, Batch    151, Loss  0.594110, Average Loss  0.601433, Time  0.263236
2021-09-09 23:05:03.334905 : Epoch  3, Batch    152, Loss  0.594019, Average Loss  0.601413, Time  0.259574
2021-09-09 23:05:05.235796 : Epoch  3, Batch    153, Loss  0.593582, Average Loss  0.601343, Time  0.258234
2021-09-09 23:05:07.129091 : Epoch  3, Batch    154, Loss  0.600312, Average Loss  0.601371, Time  0.262329
2021-09-09 23:05:08.991399 : Epoch  3, Batch    155, Loss  0.593314, Average Loss  0.601313, Time  0.262317
2021-09-09 23:05:10.872852 : Epoch  3, Batch    156, Loss  0.599076, Average Loss  0.601307, Time  0.262847
2021-09-09 23:05:12.744832 : Epoch  3, Batch    157, Loss  0.589513, Average Loss  0.601223, Time  0.262370
2021-09-09 23:05:14.652081 : Epoch  3, Batch    158, Loss  0.609961, Average Loss  0.601233, Time  0.258173
2021-09-09 23:05:16.545854 : Epoch  3, Batch    159, Loss  0.603242, Average Loss  0.601227, Time  0.258749
2021-09-09 23:05:18.437785 : Epoch  3, Batch    160, Loss  0.594272, Average Loss  0.601135, Time  0.263934
2021-09-09 23:05:20.306863 : Epoch  3, Batch    161, Loss  0.604252, Average Loss  0.601135, Time  0.261873
2021-09-09 23:05:22.205897 : Epoch  3, Batch    162, Loss  0.599979, Average Loss  0.601147, Time  0.259588
2021-09-09 23:05:24.104784 : Epoch  3, Batch    163, Loss  0.591186, Average Loss  0.601109, Time  0.265258
2021-09-09 23:05:26.003218 : Epoch  3, Batch    164, Loss  0.592867, Average Loss  0.601081, Time  0.259815
2021-09-09 23:05:27.868854 : Epoch  3, Batch    165, Loss  0.592421, Average Loss  0.601038, Time  0.260006
2021-09-09 23:05:29.775093 : Epoch  3, Batch    166, Loss  0.592980, Average Loss  0.600970, Time  0.263179
2021-09-09 23:05:31.663599 : Epoch  3, Batch    167, Loss  0.622429, Average Loss  0.601063, Time  0.261642
2021-09-09 23:05:33.547854 : Epoch  3, Batch    168, Loss  0.586064, Average Loss  0.601005, Time  0.258764
2021-09-09 23:05:35.421233 : Epoch  3, Batch    169, Loss  0.602039, Average Loss  0.601029, Time  0.258887
2021-09-09 23:05:37.317132 : Epoch  3, Batch    170, Loss  0.618701, Average Loss  0.601092, Time  0.258717
2021-09-09 23:05:39.192814 : Epoch  3, Batch    171, Loss  0.607030, Average Loss  0.601059, Time  0.260458
2021-09-09 23:05:41.066551 : Epoch  3, Batch    172, Loss  0.597641, Average Loss  0.601020, Time  0.259178
2021-09-09 23:05:42.971024 : Epoch  3, Batch    173, Loss  0.600985, Average Loss  0.600983, Time  0.265557
2021-09-09 23:05:44.845789 : Epoch  3, Batch    174, Loss  0.605659, Average Loss  0.601039, Time  0.257891
2021-09-09 23:05:46.744842 : Epoch  3, Batch    175, Loss  0.604115, Average Loss  0.601042, Time  0.257941
2021-09-09 23:05:48.638778 : Epoch  3, Batch    176, Loss  0.598958, Average Loss  0.601090, Time  0.258096
2021-09-09 23:05:50.540816 : Epoch  3, Batch    177, Loss  0.590107, Average Loss  0.600977, Time  0.257956
2021-09-09 23:05:52.460760 : Epoch  3, Batch    178, Loss  0.587134, Average Loss  0.600843, Time  0.257970
2021-09-09 23:05:54.368070 : Epoch  3, Batch    179, Loss  0.606756, Average Loss  0.600934, Time  0.257819
2021-09-09 23:05:56.262089 : Epoch  3, Batch    180, Loss  0.600483, Average Loss  0.600885, Time  0.264926
2021-09-09 23:05:58.149766 : Epoch  3, Batch    181, Loss  0.585546, Average Loss  0.600840, Time  0.262039
2021-09-09 23:06:00.046090 : Epoch  3, Batch    182, Loss  0.611055, Average Loss  0.600843, Time  0.261362
2021-09-09 23:06:01.925836 : Epoch  3, Batch    183, Loss  0.599709, Average Loss  0.600919, Time  0.259128
2021-09-09 23:06:03.805094 : Epoch  3, Batch    184, Loss  0.598957, Average Loss  0.600925, Time  0.258326
2021-09-09 23:06:05.682623 : Epoch  3, Batch    185, Loss  0.592308, Average Loss  0.600896, Time  0.264354
2021-09-09 23:06:07.550115 : Epoch  3, Batch    186, Loss  0.599666, Average Loss  0.600844, Time  0.258343
2021-09-09 23:06:09.433815 : Epoch  3, Batch    187, Loss  0.609189, Average Loss  0.600861, Time  0.261270
2021-09-09 23:06:11.316063 : Epoch  3, Batch    188, Loss  0.578881, Average Loss  0.600734, Time  0.257966
2021-09-09 23:06:13.202847 : Epoch  3, Batch    189, Loss  0.605057, Average Loss  0.600843, Time  0.257805
2021-09-09 23:06:15.096106 : Epoch  3, Batch    190, Loss  0.583878, Average Loss  0.600743, Time  0.258239
2021-09-09 23:06:16.986011 : Epoch  3, Batch    191, Loss  0.605009, Average Loss  0.600772, Time  0.261271
2021-09-09 23:06:18.854193 : Epoch  3, Batch    192, Loss  0.579049, Average Loss  0.600658, Time  0.258121
2021-09-09 23:06:20.745780 : Epoch  3, Batch    193, Loss  0.589583, Average Loss  0.600568, Time  0.257945
2021-09-09 23:06:22.661799 : Epoch  3, Batch    194, Loss  0.596837, Average Loss  0.600583, Time  0.258092
2021-09-09 23:06:24.566755 : Epoch  3, Batch    195, Loss  0.597174, Average Loss  0.600554, Time  0.258116
2021-09-09 23:06:26.457865 : Epoch  3, Batch    196, Loss  0.590874, Average Loss  0.600537, Time  0.262247
2021-09-09 23:06:30.469575 : Epoch  3, Batch    197, Loss  0.601666, Average Loss  0.600554, Time  0.266682
2021-09-09 23:06:32.341851 : Epoch  3, Batch    198, Loss  0.597775, Average Loss  0.600496, Time  0.265072
2021-09-09 23:06:34.206087 : Epoch  3, Batch    199, Loss  0.591170, Average Loss  0.600477, Time  0.257892
2021-09-09 23:06:36.080289 : Epoch  3, Batch    200, Loss  0.606821, Average Loss  0.600459, Time  0.264073
2021-09-09 23:06:37.950081 : Epoch  3, Batch    201, Loss  0.600048, Average Loss  0.600485, Time  0.264574
2021-09-09 23:06:39.813776 : Epoch  3, Batch    202, Loss  0.595473, Average Loss  0.600412, Time  0.265122
2021-09-09 23:06:41.687779 : Epoch  3, Batch    203, Loss  0.601691, Average Loss  0.600423, Time  0.258730
2021-09-09 23:06:43.575074 : Epoch  3, Batch    204, Loss  0.587062, Average Loss  0.600306, Time  0.258102
2021-09-09 23:06:45.457172 : Epoch  3, Batch    205, Loss  0.613355, Average Loss  0.600399, Time  0.259361
2021-09-09 23:06:47.353404 : Epoch  3, Batch    206, Loss  0.603988, Average Loss  0.600393, Time  0.258631
2021-09-09 23:06:49.242891 : Epoch  3, Batch    207, Loss  0.592458, Average Loss  0.600336, Time  0.261104
2021-09-09 23:06:51.122081 : Epoch  3, Batch    208, Loss  0.597710, Average Loss  0.600316, Time  0.258610
2021-09-09 23:06:52.994788 : Epoch  3, Batch    209, Loss  0.597348, Average Loss  0.600293, Time  0.258583
2021-09-09 23:06:54.929933 : Epoch  3, Batch    210, Loss  0.596580, Average Loss  0.600245, Time  0.269424
2021-09-09 23:06:56.834097 : Epoch  3, Batch    211, Loss  0.588033, Average Loss  0.600198, Time  0.261842
2021-09-09 23:06:58.704944 : Epoch  3, Batch    212, Loss  0.593104, Average Loss  0.600184, Time  0.263320
2021-09-09 23:07:00.602648 : Epoch  3, Batch    213, Loss  0.601135, Average Loss  0.600213, Time  0.260350
2021-09-09 23:07:02.486808 : Epoch  3, Batch    214, Loss  0.599568, Average Loss  0.600160, Time  0.260588
2021-09-09 23:07:04.372804 : Epoch  3, Batch    215, Loss  0.592449, Average Loss  0.600116, Time  0.260301
2021-09-09 23:07:06.258107 : Epoch  3, Batch    216, Loss  0.594845, Average Loss  0.600093, Time  0.258981
2021-09-09 23:07:08.164880 : Epoch  3, Batch    217, Loss  0.592763, Average Loss  0.600112, Time  0.262592
2021-09-09 23:07:10.078154 : Epoch  3, Batch    218, Loss  0.595147, Average Loss  0.600164, Time  0.263730
2021-09-09 23:07:11.934891 : Epoch  3, Batch    219, Loss  0.598959, Average Loss  0.600121, Time  0.258814
2021-09-09 23:07:13.821773 : Epoch  3, Batch    220, Loss  0.589608, Average Loss  0.599987, Time  0.263494
2021-09-09 23:07:15.729452 : Epoch  3, Batch    221, Loss  0.595148, Average Loss  0.599917, Time  0.258639
2021-09-09 23:07:17.616193 : Epoch  3, Batch    222, Loss  0.594879, Average Loss  0.599904, Time  0.260182
2021-09-09 23:07:19.513120 : Epoch  3, Batch    223, Loss  0.593058, Average Loss  0.599883, Time  0.259512
2021-09-09 23:07:21.432829 : Epoch  3, Batch    224, Loss  0.602753, Average Loss  0.599920, Time  0.268064
2021-09-09 23:07:23.372784 : Epoch  3, Batch    225, Loss  0.590614, Average Loss  0.599859, Time  0.261815
2021-09-09 23:07:25.305075 : Epoch  3, Batch    226, Loss  0.597971, Average Loss  0.599858, Time  0.267008
2021-09-09 23:08:29.977729 : CheckPoint: Validation Loss  0.00062693, Best Loss  0.00056427
2021-09-09 23:08:31.848908 : Epoch  7, Batch   2935, Loss  0.877246, Average Loss  0.867838, Time  0.425976
2021-09-09 23:08:33.728790 : Epoch  7, Batch   2936, Loss  0.888056, Average Loss  0.867890, Time  0.449558
2021-09-09 23:08:35.012738 : CheckPoint: Validation Loss  0.00024158, Best Loss  0.00024158
2021-09-09 23:08:35.110624 : Best Model Updated
2021-09-09 23:08:35.530696 : Epoch  7, Batch   2937, Loss  0.866294, Average Loss  0.867844, Time  0.367431
2021-09-09 23:08:37.501778 : Epoch  7, Batch   2938, Loss  0.855764, Average Loss  0.867930, Time  0.361449
2021-09-09 23:08:37.932827 : Epoch  3, Batch    227, Loss  0.600507, Average Loss  0.599861, Time  0.265540
2021-09-09 23:08:39.283813 : Epoch  7, Batch   2939, Loss  0.877712, Average Loss  0.868026, Time  0.362056
2021-09-09 23:08:39.849777 : Epoch  3, Batch    228, Loss  0.597092, Average Loss  0.599867, Time  0.258281
2021-09-09 23:08:41.184782 : Epoch  7, Batch   2940, Loss  0.879686, Average Loss  0.868211, Time  0.457549
2021-09-09 23:08:41.762041 : Epoch  3, Batch    229, Loss  0.588812, Average Loss  0.599869, Time  0.257878
2021-09-09 23:08:43.029506 : Epoch  7, Batch   2941, Loss  0.868047, Average Loss  0.868160, Time  0.411506
2021-09-09 23:08:43.661805 : Epoch  3, Batch    230, Loss  0.594924, Average Loss  0.599854, Time  0.257906
2021-09-09 23:08:44.832116 : Epoch  7, Batch   2942, Loss  0.845436, Average Loss  0.868027, Time  0.357131
2021-09-09 23:08:45.588867 : Epoch  3, Batch    231, Loss  0.597208, Average Loss  0.599828, Time  0.258278
2021-09-09 23:08:46.618773 : Epoch  7, Batch   2943, Loss  0.848079, Average Loss  0.867938, Time  0.356621
2021-09-09 23:08:47.495840 : Epoch  3, Batch    232, Loss  0.588858, Average Loss  0.599803, Time  0.258379
2021-09-09 23:08:48.495782 : Epoch  7, Batch   2944, Loss  0.880716, Average Loss  0.868012, Time  0.461501
2021-09-09 23:08:49.375078 : Epoch  3, Batch    233, Loss  0.601732, Average Loss  0.599763, Time  0.261662
2021-09-09 23:08:50.357915 : Epoch  7, Batch   2945, Loss  0.849162, Average Loss  0.868021, Time  0.456381
2021-09-09 23:08:51.276067 : Epoch  3, Batch    234, Loss  0.603101, Average Loss  0.599762, Time  0.258146
2021-09-09 23:08:52.193912 : Epoch  7, Batch   2946, Loss  0.859080, Average Loss  0.868039, Time  0.370713
2021-09-09 23:08:53.198048 : Epoch  3, Batch    235, Loss  0.593137, Average Loss  0.599758, Time  0.258135
2021-09-09 23:08:53.995779 : Epoch  7, Batch   2947, Loss  0.897686, Average Loss  0.868366, Time  0.367754
2021-09-09 23:08:55.102054 : Epoch  3, Batch    236, Loss  0.609102, Average Loss  0.599766, Time  0.257774
2021-09-09 23:08:55.795272 : Epoch  7, Batch   2948, Loss  0.863614, Average Loss  0.868368, Time  0.373429
2021-09-09 23:08:57.007805 : Epoch  3, Batch    237, Loss  0.589145, Average Loss  0.599744, Time  0.258325
2021-09-09 23:08:57.700117 : Epoch  7, Batch   2949, Loss  0.874266, Average Loss  0.868514, Time  0.470970
2021-09-09 23:08:58.911058 : Epoch  3, Batch    238, Loss  0.607405, Average Loss  0.599788, Time  0.257588
2021-09-09 23:08:59.564352 : Epoch  7, Batch   2950, Loss  0.855066, Average Loss  0.868600, Time  0.422643
2021-09-09 23:09:00.811068 : Epoch  3, Batch    239, Loss  0.591107, Average Loss  0.599770, Time  0.260122
2021-09-09 23:09:01.341780 : Epoch  7, Batch   2951, Loss  0.892564, Average Loss  0.868709, Time  0.363598
2021-09-09 23:09:02.736925 : Epoch  3, Batch    240, Loss  0.591090, Average Loss  0.599723, Time  0.258111
2021-09-09 23:09:03.121877 : Epoch  7, Batch   2952, Loss  0.868930, Average Loss  0.868848, Time  0.369679
2021-09-09 23:09:04.642966 : Epoch  3, Batch    241, Loss  0.599078, Average Loss  0.599744, Time  0.258292
2021-09-09 23:09:04.997768 : Epoch  7, Batch   2953, Loss  0.854770, Average Loss  0.869011, Time  0.435794
2021-09-09 23:09:06.537914 : Epoch  3, Batch    242, Loss  0.585619, Average Loss  0.599661, Time  0.258223
2021-09-09 23:09:06.907124 : Epoch  7, Batch   2954, Loss  0.887161, Average Loss  0.869182, Time  0.462126
2021-09-09 23:09:08.445833 : Epoch  3, Batch    243, Loss  0.590962, Average Loss  0.599586, Time  0.258105
2021-09-09 23:09:08.691281 : Epoch  7, Batch   2955, Loss  0.871081, Average Loss  0.869205, Time  0.364494
2021-09-09 23:09:10.324895 : Epoch  3, Batch    244, Loss  0.598177, Average Loss  0.599593, Time  0.258184
2021-09-09 23:09:10.476758 : Epoch  7, Batch   2956, Loss  0.840517, Average Loss  0.868972, Time  0.359565
2021-09-09 23:09:12.218781 : Epoch  3, Batch    245, Loss  0.594518, Average Loss  0.599541, Time  0.261479
2021-09-09 23:09:12.276771 : Epoch  7, Batch   2957, Loss  0.867415, Average Loss  0.869000, Time  0.376523
2021-09-09 23:09:14.109802 : Epoch  3, Batch    246, Loss  0.603439, Average Loss  0.599602, Time  0.261724
2021-09-09 23:09:14.170357 : Epoch  7, Batch   2958, Loss  0.848395, Average Loss  0.868752, Time  0.451062
2021-09-09 23:09:15.929849 : Epoch  7, Batch   2959, Loss  0.871002, Average Loss  0.868768, Time  0.332279
2021-09-09 23:09:16.012017 : Epoch  3, Batch    247, Loss  0.595026, Average Loss  0.599542, Time  0.273448
2021-09-09 23:09:17.756789 : Epoch  7, Batch   2960, Loss  0.888082, Average Loss  0.868970, Time  0.366422
2021-09-09 23:09:18.061884 : Epoch  3, Batch    248, Loss  0.595666, Average Loss  0.599512, Time  0.262477
2021-09-09 23:09:19.561110 : Epoch  7, Batch   2961, Loss  0.850990, Average Loss  0.868799, Time  0.364947
2021-09-09 23:09:19.963110 : Epoch  3, Batch    249, Loss  0.582786, Average Loss  0.599430, Time  0.272943
2021-09-09 23:09:21.432122 : Epoch  7, Batch   2962, Loss  0.884413, Average Loss  0.868814, Time  0.457935
2021-09-09 23:09:21.852388 : Epoch  3, Batch    250, Loss  0.586843, Average Loss  0.599395, Time  0.258639
2021-09-09 23:09:23.224827 : Epoch  7, Batch   2963, Loss  0.906883, Average Loss  0.868946, Time  0.370629
2021-09-09 23:09:23.780095 : Epoch  3, Batch    251, Loss  0.594212, Average Loss  0.599355, Time  0.258220
2021-09-09 23:09:25.025093 : Epoch  7, Batch   2964, Loss  0.885610, Average Loss  0.869021, Time  0.358375
2021-09-09 23:09:25.690725 : Epoch  3, Batch    252, Loss  0.583921, Average Loss  0.599280, Time  0.262540
2021-09-09 23:09:26.829790 : Epoch  7, Batch   2965, Loss  0.871007, Average Loss  0.868959, Time  0.357204
2021-09-09 23:09:27.576924 : Epoch  3, Batch    253, Loss  0.595491, Average Loss  0.599252, Time  0.262511
2021-09-09 23:09:28.743108 : Epoch  7, Batch   2966, Loss  0.867179, Average Loss  0.868932, Time  0.445386
2021-09-09 23:09:29.471777 : Epoch  3, Batch    254, Loss  0.598356, Average Loss  0.599196, Time  0.258204
2021-09-09 23:09:30.670803 : Epoch  7, Batch   2967, Loss  0.863918, Average Loss  0.868748, Time  0.450816
2021-09-09 23:09:31.366898 : Epoch  3, Batch    255, Loss  0.598792, Average Loss  0.599163, Time  0.264941
2021-09-09 23:09:32.473767 : Epoch  7, Batch   2968, Loss  0.855747, Average Loss  0.868629, Time  0.355253
2021-09-09 23:09:33.244087 : Epoch  3, Batch    256, Loss  0.596282, Average Loss  0.599208, Time  0.260835
2021-09-09 23:09:34.292741 : Epoch  7, Batch   2969, Loss  0.877958, Average Loss  0.868857, Time  0.357849
2021-09-09 23:09:35.143936 : Epoch  3, Batch    257, Loss  0.592478, Average Loss  0.599147, Time  0.259574
2021-09-09 23:09:36.103832 : Epoch  7, Batch   2970, Loss  0.827892, Average Loss  0.868655, Time  0.356356
2021-09-09 23:09:37.013674 : Epoch  3, Batch    258, Loss  0.588168, Average Loss  0.599091, Time  0.258520
2021-09-09 23:09:38.004909 : Epoch  7, Batch   2971, Loss  0.874492, Average Loss  0.868821, Time  0.451612
2021-09-09 23:09:38.919921 : Epoch  3, Batch    259, Loss  0.604177, Average Loss  0.599076, Time  0.262640
2021-09-09 23:09:39.869777 : Epoch  7, Batch   2972, Loss  0.860899, Average Loss  0.868767, Time  0.409367
2021-09-09 23:09:40.824785 : Epoch  3, Batch    260, Loss  0.596829, Average Loss  0.599059, Time  0.261240
2021-09-09 23:09:41.655781 : Epoch  7, Batch   2973, Loss  0.862530, Average Loss  0.868734, Time  0.356901
2021-09-09 23:09:42.729788 : Epoch  3, Batch    261, Loss  0.591721, Average Loss  0.599008, Time  0.257996
2021-09-09 23:09:43.480125 : Epoch  7, Batch   2974, Loss  0.848456, Average Loss  0.868676, Time  0.356186
2021-09-09 23:09:44.644876 : Epoch  3, Batch    262, Loss  0.598543, Average Loss  0.598943, Time  0.258425
2021-09-09 23:09:45.349876 : Epoch  7, Batch   2975, Loss  0.878490, Average Loss  0.868870, Time  0.423097
2021-09-09 23:09:46.535874 : Epoch  3, Batch    263, Loss  0.601246, Average Loss  0.598910, Time  0.258250
2021-09-09 23:09:47.252108 : Epoch  7, Batch   2976, Loss  0.870768, Average Loss  0.868938, Time  0.454302
2021-09-09 23:09:48.451852 : Epoch  3, Batch    264, Loss  0.584671, Average Loss  0.598881, Time  0.261323
2021-09-09 23:09:49.034789 : Epoch  7, Batch   2977, Loss  0.867369, Average Loss  0.869046, Time  0.336070
2021-09-09 23:09:50.331955 : Epoch  3, Batch    265, Loss  0.593542, Average Loss  0.598878, Time  0.262936
2021-09-09 23:09:50.844778 : Epoch  7, Batch   2978, Loss  0.858789, Average Loss  0.868897, Time  0.356464
2021-09-09 23:09:52.222085 : Epoch  3, Batch    266, Loss  0.581225, Average Loss  0.599382, Time  0.266857
2021-09-09 23:09:52.668100 : Epoch  7, Batch   2979, Loss  0.856533, Average Loss  0.868956, Time  0.355958
2021-09-09 23:09:54.125906 : Epoch  3, Batch    267, Loss  0.589185, Average Loss  0.599267, Time  0.260164
2021-09-09 23:09:54.563764 : Epoch  7, Batch   2980, Loss  0.867292, Average Loss  0.868892, Time  0.452889
2021-09-09 23:09:56.013131 : Epoch  3, Batch    268, Loss  0.588544, Average Loss  0.599106, Time  0.268605
2021-09-09 23:09:56.402773 : Epoch  7, Batch   2981, Loss  0.895373, Average Loss  0.868966, Time  0.407355
2021-09-09 23:09:57.905864 : Epoch  3, Batch    269, Loss  0.589481, Average Loss  0.598929, Time  0.270725
2021-09-09 23:09:58.190778 : Epoch  7, Batch   2982, Loss  0.888216, Average Loss  0.868961, Time  0.355913
2021-09-09 23:09:59.831761 : Epoch  3, Batch    270, Loss  0.597222, Average Loss  0.598787, Time  0.275636
2021-09-09 23:09:59.998766 : Epoch  7, Batch   2983, Loss  0.889812, Average Loss  0.869028, Time  0.358047
2021-09-09 23:10:01.733850 : Epoch  3, Batch    271, Loss  0.585026, Average Loss  0.598573, Time  0.268682
2021-09-09 23:10:01.880759 : Epoch  7, Batch   2984, Loss  0.865224, Average Loss  0.869122, Time  0.423875
2021-09-09 23:10:03.611815 : Epoch  3, Batch    272, Loss  0.582109, Average Loss  0.598403, Time  0.261947
2021-09-09 23:10:03.741806 : Epoch  7, Batch   2985, Loss  0.860022, Average Loss  0.869140, Time  0.450297
2021-09-09 23:10:05.515471 : Epoch  7, Batch   2986, Loss  0.885820, Average Loss  0.869399, Time  0.357331
2021-09-09 23:10:05.567142 : Epoch  3, Batch    273, Loss  0.590273, Average Loss  0.598267, Time  0.262464
2021-09-09 23:10:07.428166 : Epoch  7, Batch   2987, Loss  0.869298, Average Loss  0.869513, Time  0.363640
2021-09-09 23:10:07.504846 : Epoch  3, Batch    274, Loss  0.588809, Average Loss  0.598117, Time  0.267134
2021-09-09 23:10:09.233784 : Epoch  7, Batch   2988, Loss  0.878311, Average Loss  0.869769, Time  0.368603
2021-09-09 23:10:09.404983 : Epoch  3, Batch    275, Loss  0.594748, Average Loss  0.597975, Time  0.265498
2021-09-09 23:10:11.116768 : Epoch  7, Batch   2989, Loss  0.874222, Average Loss  0.869670, Time  0.450146
2021-09-09 23:10:11.322156 : Epoch  3, Batch    276, Loss  0.597948, Average Loss  0.597915, Time  0.302058
2021-09-09 23:10:12.983190 : Epoch  7, Batch   2990, Loss  0.874447, Average Loss  0.869483, Time  0.412576
2021-09-09 23:10:13.197969 : Epoch  3, Batch    277, Loss  0.604850, Average Loss  0.597892, Time  0.266371
2021-09-09 23:10:14.768093 : Epoch  7, Batch   2991, Loss  0.860325, Average Loss  0.869412, Time  0.358799
2021-09-09 23:10:15.104812 : Epoch  3, Batch    278, Loss  0.599588, Average Loss  0.597851, Time  0.264396
2021-09-09 23:10:16.566080 : Epoch  7, Batch   2992, Loss  0.849187, Average Loss  0.869398, Time  0.356477
2021-09-09 23:10:17.009780 : Epoch  3, Batch    279, Loss  0.603516, Average Loss  0.597836, Time  0.265093
2021-09-09 23:10:18.431211 : Epoch  7, Batch   2993, Loss  0.866565, Average Loss  0.869513, Time  0.433406
2021-09-09 23:10:18.923089 : Epoch  3, Batch    280, Loss  0.595639, Average Loss  0.597783, Time  0.268320
2021-09-09 23:10:20.295954 : Epoch  7, Batch   2994, Loss  0.844546, Average Loss  0.869357, Time  0.450245
2021-09-09 23:10:20.820820 : Epoch  3, Batch    281, Loss  0.596187, Average Loss  0.597689, Time  0.263723
2021-09-09 23:10:22.094779 : Epoch  7, Batch   2995, Loss  0.864112, Average Loss  0.869293, Time  0.356565
2021-09-09 23:10:22.713084 : Epoch  3, Batch    282, Loss  0.592390, Average Loss  0.597621, Time  0.261157
2021-09-09 23:10:23.893807 : Epoch  7, Batch   2996, Loss  0.862854, Average Loss  0.869187, Time  0.358336
2021-09-09 23:10:24.581776 : Epoch  3, Batch    283, Loss  0.596522, Average Loss  0.597570, Time  0.257930
2021-09-09 23:10:25.719785 : Epoch  7, Batch   2997, Loss  0.875924, Average Loss  0.869095, Time  0.375357
2021-09-09 23:10:26.465261 : Epoch  3, Batch    284, Loss  0.600200, Average Loss  0.597542, Time  0.261091
2021-09-09 23:10:27.633889 : Epoch  7, Batch   2998, Loss  0.879986, Average Loss  0.869146, Time  0.451720
2021-09-09 23:10:28.329136 : Epoch  3, Batch    285, Loss  0.592856, Average Loss  0.597406, Time  0.262570
2021-09-09 23:10:29.420780 : Epoch  7, Batch   2999, Loss  0.876851, Average Loss  0.869492, Time  0.337721
2021-09-09 23:10:30.211197 : Epoch  3, Batch    286, Loss  0.586575, Average Loss  0.597374, Time  0.258732
2021-09-09 23:10:31.267222 : Epoch  7, Batch   3000, Loss  0.839329, Average Loss  0.869393, Time  0.356980
2021-09-09 23:10:32.105868 : Epoch  3, Batch    287, Loss  0.601762, Average Loss  0.597357, Time  0.259776
2021-09-09 23:10:33.043991 : Epoch  7, Batch   3001, Loss  0.887196, Average Loss  0.869418, Time  0.355606
2021-09-09 23:10:33.999809 : Epoch  3, Batch    288, Loss  0.601640, Average Loss  0.597314, Time  0.258867
2021-09-09 23:10:34.942791 : Epoch  7, Batch   3002, Loss  0.867814, Average Loss  0.869373, Time  0.454230
2021-09-09 23:10:35.909808 : Epoch  3, Batch    289, Loss  0.600755, Average Loss  0.597279, Time  0.261195
2021-09-09 23:10:36.832780 : Epoch  7, Batch   3003, Loss  0.893322, Average Loss  0.869433, Time  0.441362
2021-09-09 23:10:37.815085 : Epoch  3, Batch    290, Loss  0.602829, Average Loss  0.597272, Time  0.265471
2021-09-09 23:10:38.633198 : Epoch  7, Batch   3004, Loss  0.897697, Average Loss  0.869393, Time  0.359738
2021-09-09 23:10:39.737818 : Epoch  3, Batch    291, Loss  0.596737, Average Loss  0.597280, Time  0.262926
2021-09-09 23:10:40.439023 : Epoch  7, Batch   3005, Loss  0.857154, Average Loss  0.869317, Time  0.355804
2021-09-09 23:10:41.647088 : Epoch  3, Batch    292, Loss  0.599797, Average Loss  0.597243, Time  0.262001
2021-09-09 23:10:42.298780 : Epoch  7, Batch   3006, Loss  0.849395, Average Loss  0.869191, Time  0.406871
2021-09-09 23:10:43.541839 : Epoch  3, Batch    293, Loss  0.588841, Average Loss  0.597144, Time  0.261327
2021-09-09 23:10:44.196191 : Epoch  7, Batch   3007, Loss  0.884625, Average Loss  0.869231, Time  0.452133
2021-09-09 23:10:45.441840 : Epoch  3, Batch    294, Loss  0.592399, Average Loss  0.597096, Time  0.259049
2021-09-09 23:10:45.988883 : Epoch  7, Batch   3008, Loss  0.831830, Average Loss  0.869012, Time  0.348082
2021-09-09 23:10:47.363891 : Epoch  3, Batch    295, Loss  0.590711, Average Loss  0.597040, Time  0.258205
2021-09-09 23:10:47.781822 : Epoch  7, Batch   3009, Loss  0.899286, Average Loss  0.869134, Time  0.358668
2021-09-09 23:10:49.270873 : Epoch  3, Batch    296, Loss  0.577634, Average Loss  0.596956, Time  0.265308
2021-09-09 23:10:49.572763 : Epoch  7, Batch   3010, Loss  0.828124, Average Loss  0.868967, Time  0.362221
2021-09-09 23:10:51.493982 : Epoch  7, Batch   3011, Loss  0.846916, Average Loss  0.868884, Time  0.456537
2021-09-09 23:10:53.248078 : Epoch  3, Batch    297, Loss  0.590007, Average Loss  0.596890, Time  0.283995
2021-09-09 23:10:53.352272 : Epoch  7, Batch   3012, Loss  0.886777, Average Loss  0.868918, Time  0.414430
2021-09-09 23:10:55.103794 : Epoch  7, Batch   3013, Loss  0.861418, Average Loss  0.868893, Time  0.357971
2021-09-09 23:10:55.139976 : Epoch  3, Batch    298, Loss  0.581866, Average Loss  0.596761, Time  0.259217
2021-09-09 23:10:56.871825 : Epoch  7, Batch   3014, Loss  0.851403, Average Loss  0.868677, Time  0.356509
2021-09-09 23:10:57.054878 : Epoch  3, Batch    299, Loss  0.596837, Average Loss  0.596785, Time  0.259459
2021-09-09 23:10:58.759507 : Epoch  7, Batch   3015, Loss  0.891245, Average Loss  0.868787, Time  0.444074
2021-09-09 23:10:58.952937 : Epoch  3, Batch    300, Loss  0.591105, Average Loss  0.596705, Time  0.275914
2021-09-09 23:11:00.632768 : Epoch  7, Batch   3016, Loss  0.840005, Average Loss  0.868843, Time  0.451570
2021-09-09 23:11:00.840821 : Epoch  3, Batch    301, Loss  0.596749, Average Loss  0.596642, Time  0.280926
2021-09-09 23:11:02.413785 : Epoch  7, Batch   3017, Loss  0.857088, Average Loss  0.868853, Time  0.355418
2021-09-09 23:11:02.753079 : Epoch  3, Batch    302, Loss  0.591756, Average Loss  0.596623, Time  0.260206
2021-09-09 23:11:04.210781 : Epoch  7, Batch   3018, Loss  0.910521, Average Loss  0.868940, Time  0.356849
2021-09-09 23:11:04.649825 : Epoch  3, Batch    303, Loss  0.590315, Average Loss  0.596538, Time  0.257855
2021-09-09 23:11:06.044783 : Epoch  7, Batch   3019, Loss  0.868187, Average Loss  0.868941, Time  0.385961
2021-09-09 23:11:06.558132 : Epoch  3, Batch    304, Loss  0.592737, Average Loss  0.596515, Time  0.264075
2021-09-09 23:11:07.942103 : Epoch  7, Batch   3020, Loss  0.887611, Average Loss  0.868864, Time  0.448337
2021-09-09 23:11:08.454819 : Epoch  3, Batch    305, Loss  0.585758, Average Loss  0.596391, Time  0.258009
2021-09-09 23:11:09.736785 : Epoch  7, Batch   3021, Loss  0.880331, Average Loss  0.868899, Time  0.334846
2021-09-09 23:11:10.345807 : Epoch  3, Batch    306, Loss  0.597988, Average Loss  0.596409, Time  0.265808
2021-09-09 23:11:11.543790 : Epoch  7, Batch   3022, Loss  0.880317, Average Loss  0.868890, Time  0.357027
2021-09-09 23:11:12.230799 : Epoch  3, Batch    307, Loss  0.592109, Average Loss  0.596315, Time  0.261329
2021-09-09 23:11:13.335129 : Epoch  7, Batch   3023, Loss  0.876948, Average Loss  0.868910, Time  0.354723
2021-09-09 23:11:14.124087 : Epoch  3, Batch    308, Loss  0.585424, Average Loss  0.596206, Time  0.283082
2021-09-09 23:11:15.211908 : Epoch  7, Batch   3024, Loss  0.878166, Average Loss  0.868961, Time  0.454259
2021-09-09 23:11:16.023895 : Epoch  3, Batch    309, Loss  0.598559, Average Loss  0.596199, Time  0.258377
2021-09-09 23:11:16.991099 : Epoch  7, Batch   3025, Loss  0.855231, Average Loss  0.868906, Time  0.338124
2021-09-09 23:11:17.930900 : Epoch  3, Batch    310, Loss  0.603983, Average Loss  0.596231, Time  0.261939
2021-09-09 23:11:18.791775 : Epoch  7, Batch   3026, Loss  0.858519, Average Loss  0.868790, Time  0.357278
2021-09-09 23:11:19.804798 : Epoch  3, Batch    311, Loss  0.594407, Average Loss  0.596195, Time  0.258686
2021-09-09 23:11:20.587778 : Epoch  7, Batch   3027, Loss  0.850626, Average Loss  0.868670, Time  0.363883
2021-09-09 23:11:21.666812 : Epoch  3, Batch    312, Loss  0.594573, Average Loss  0.596194, Time  0.261941
2021-09-09 23:11:22.475203 : Epoch  7, Batch   3028, Loss  0.858923, Average Loss  0.868591, Time  0.449457
2021-09-09 23:11:23.543530 : Epoch  3, Batch    313, Loss  0.589218, Average Loss  0.596098, Time  0.258038
2021-09-09 23:11:24.349985 : Epoch  7, Batch   3029, Loss  0.866811, Average Loss  0.868544, Time  0.409431
2021-09-09 23:11:25.433826 : Epoch  3, Batch    314, Loss  0.583967, Average Loss  0.596093, Time  0.258823
2021-09-09 23:11:26.161786 : Epoch  7, Batch   3030, Loss  0.872782, Average Loss  0.868455, Time  0.356856
2021-09-09 23:11:27.322793 : Epoch  3, Batch    315, Loss  0.589376, Average Loss  0.596035, Time  0.266023
2021-09-09 23:11:27.967783 : Epoch  7, Batch   3031, Loss  0.888040, Average Loss  0.868553, Time  0.356961
2021-09-09 23:11:29.201131 : Epoch  3, Batch    316, Loss  0.592623, Average Loss  0.596020, Time  0.258726
2021-09-09 23:11:29.836767 : Epoch  7, Batch   3032, Loss  0.880397, Average Loss  0.868652, Time  0.414975
2021-09-09 23:11:31.092098 : Epoch  3, Batch    317, Loss  0.593400, Average Loss  0.595914, Time  0.267245
2021-09-09 23:11:31.751817 : Epoch  7, Batch   3033, Loss  0.902366, Average Loss  0.868853, Time  0.453032
2021-09-09 23:11:33.005809 : Epoch  3, Batch    318, Loss  0.596064, Average Loss  0.595832, Time  0.257862
2021-09-09 23:11:33.524863 : Epoch  7, Batch   3034, Loss  0.874665, Average Loss  0.868828, Time  0.346525
2021-09-09 23:11:34.901920 : Epoch  3, Batch    319, Loss  0.595612, Average Loss  0.595837, Time  0.262811
2021-09-09 23:11:36.819116 : Epoch  3, Batch    320, Loss  0.601863, Average Loss  0.595857, Time  0.265302
2021-09-09 23:11:38.740919 : Epoch  3, Batch    321, Loss  0.580496, Average Loss  0.595761, Time  0.264772
2021-09-09 23:11:40.636147 : Epoch  3, Batch    322, Loss  0.593280, Average Loss  0.595747, Time  0.262652
2021-09-09 23:11:42.495173 : Epoch  3, Batch    323, Loss  0.584998, Average Loss  0.595685, Time  0.258772
2021-09-09 23:11:44.390889 : Epoch  3, Batch    324, Loss  0.602212, Average Loss  0.595727, Time  0.267451
2021-09-09 23:11:46.259939 : Epoch  3, Batch    325, Loss  0.595150, Average Loss  0.595790, Time  0.258216
2021-09-09 23:11:48.158800 : Epoch  3, Batch    326, Loss  0.603473, Average Loss  0.595754, Time  0.269209
2021-09-09 23:12:57.663742 : CheckPoint: Validation Loss  0.00024334, Best Loss  0.00024158
2021-09-09 23:12:59.545901 : Epoch  3, Batch    327, Loss  0.591412, Average Loss  0.595705, Time  0.268473
2021-09-09 23:13:01.411754 : Epoch  3, Batch    328, Loss  0.599549, Average Loss  0.595700, Time  0.259129
2021-09-09 23:13:03.293770 : Epoch  3, Batch    329, Loss  0.597046, Average Loss  0.595701, Time  0.262008
2021-09-09 23:13:05.165808 : Epoch  3, Batch    330, Loss  0.573222, Average Loss  0.595526, Time  0.261548
2021-09-09 23:13:07.044394 : Epoch  3, Batch    331, Loss  0.582242, Average Loss  0.595447, Time  0.258234
2021-09-09 23:13:08.915906 : Epoch  3, Batch    332, Loss  0.586039, Average Loss  0.595405, Time  0.258503
2021-09-09 23:13:10.800801 : Epoch  3, Batch    333, Loss  0.596554, Average Loss  0.595440, Time  0.258347
2021-09-09 23:13:12.678880 : Epoch  3, Batch    334, Loss  0.582998, Average Loss  0.595329, Time  0.259788
2021-09-09 23:13:14.581017 : Epoch  3, Batch    335, Loss  0.591496, Average Loss  0.595327, Time  0.258125
2021-09-09 23:13:16.476082 : Epoch  3, Batch    336, Loss  0.586404, Average Loss  0.595182, Time  0.267798
2021-09-09 23:13:18.339074 : Epoch  3, Batch    337, Loss  0.576336, Average Loss  0.595087, Time  0.258247
2021-09-09 23:13:20.207082 : Epoch  3, Batch    338, Loss  0.589434, Average Loss  0.595064, Time  0.266379
2021-09-09 23:13:22.061057 : Epoch  3, Batch    339, Loss  0.584694, Average Loss  0.595006, Time  0.258616
2021-09-09 23:13:23.947793 : Epoch  3, Batch    340, Loss  0.588393, Average Loss  0.595001, Time  0.258693
2021-09-09 23:13:25.821785 : Epoch  3, Batch    341, Loss  0.600932, Average Loss  0.595048, Time  0.263979
2021-09-09 23:13:27.717787 : Epoch  3, Batch    342, Loss  0.587962, Average Loss  0.594995, Time  0.270045
2021-09-09 23:13:29.615833 : Epoch  3, Batch    343, Loss  0.585048, Average Loss  0.594953, Time  0.259110
2021-09-09 23:13:31.524963 : Epoch  3, Batch    344, Loss  0.594396, Average Loss  0.594918, Time  0.258173
2021-09-09 23:13:33.425855 : Epoch  3, Batch    345, Loss  0.597009, Average Loss  0.594891, Time  0.264584
2021-09-09 23:13:35.293102 : Epoch  3, Batch    346, Loss  0.598606, Average Loss  0.594876, Time  0.264117
2021-09-09 23:13:37.154887 : Epoch  3, Batch    347, Loss  0.590403, Average Loss  0.594823, Time  0.262817
2021-09-09 23:13:39.058825 : Epoch  3, Batch    348, Loss  0.587607, Average Loss  0.594756, Time  0.258311
2021-09-09 23:13:40.927099 : Epoch  3, Batch    349, Loss  0.586733, Average Loss  0.594681, Time  0.258126
2021-09-09 23:13:42.786863 : Epoch  3, Batch    350, Loss  0.601911, Average Loss  0.594756, Time  0.259104
2021-09-09 23:13:44.672008 : Epoch  3, Batch    351, Loss  0.588390, Average Loss  0.594728, Time  0.263193
2021-09-09 23:13:46.544076 : Epoch  3, Batch    352, Loss  0.590718, Average Loss  0.594711, Time  0.264487
2021-09-09 23:13:48.440932 : Epoch  3, Batch    353, Loss  0.593358, Average Loss  0.594710, Time  0.259442
2021-09-09 23:13:50.311778 : Epoch  3, Batch    354, Loss  0.598991, Average Loss  0.594703, Time  0.258344
2021-09-09 23:13:52.236895 : Epoch  3, Batch    355, Loss  0.592932, Average Loss  0.594701, Time  0.264937
2021-09-09 23:13:54.111858 : Epoch  3, Batch    356, Loss  0.587783, Average Loss  0.594645, Time  0.261104
2021-09-09 23:13:55.982702 : Epoch  3, Batch    357, Loss  0.592093, Average Loss  0.594658, Time  0.258437
2021-09-09 23:13:57.892884 : Epoch  3, Batch    358, Loss  0.577157, Average Loss  0.594494, Time  0.258713
2021-09-09 23:13:59.772909 : Epoch  3, Batch    359, Loss  0.587092, Average Loss  0.594413, Time  0.258044
2021-09-09 23:14:01.627089 : Epoch  3, Batch    360, Loss  0.603511, Average Loss  0.594459, Time  0.258218
2021-09-09 23:14:03.493792 : Epoch  3, Batch    361, Loss  0.583615, Average Loss  0.594356, Time  0.266886
2021-09-09 23:14:05.358765 : Epoch  3, Batch    362, Loss  0.597892, Average Loss  0.594346, Time  0.259397
2021-09-09 23:14:07.237909 : Epoch  3, Batch    363, Loss  0.599126, Average Loss  0.594385, Time  0.262255
2021-09-09 23:14:09.120812 : Epoch  3, Batch    364, Loss  0.593969, Average Loss  0.594391, Time  0.258966
2021-09-09 23:14:10.988481 : Epoch  3, Batch    365, Loss  0.592134, Average Loss  0.594389, Time  0.258286
2021-09-09 23:14:12.888083 : Epoch  3, Batch    366, Loss  0.591970, Average Loss  0.594384, Time  0.262416
2021-09-09 23:14:14.794812 : Epoch  3, Batch    367, Loss  0.582690, Average Loss  0.594186, Time  0.262389
2021-09-09 23:14:16.686986 : Epoch  3, Batch    368, Loss  0.589292, Average Loss  0.594202, Time  0.265310
2021-09-09 23:14:18.581771 : Epoch  3, Batch    369, Loss  0.595014, Average Loss  0.594167, Time  0.258071
2021-09-09 23:14:20.455692 : Epoch  3, Batch    370, Loss  0.585176, Average Loss  0.593999, Time  0.258239
2021-09-09 23:14:22.332808 : Epoch  3, Batch    371, Loss  0.597511, Average Loss  0.593951, Time  0.262164
2021-09-09 23:14:24.217126 : Epoch  3, Batch    372, Loss  0.589107, Average Loss  0.593909, Time  0.267501
2021-09-09 23:14:26.095794 : Epoch  3, Batch    373, Loss  0.582801, Average Loss  0.593818, Time  0.259120
2021-09-09 23:14:27.998087 : Epoch  3, Batch    374, Loss  0.601229, Average Loss  0.593796, Time  0.259115
2021-09-09 23:14:29.864976 : Epoch  3, Batch    375, Loss  0.580793, Average Loss  0.593679, Time  0.260628
2021-09-09 23:14:31.724883 : Epoch  3, Batch    376, Loss  0.585493, Average Loss  0.593612, Time  0.258394
2021-09-09 23:14:33.618102 : Epoch  3, Batch    377, Loss  0.570238, Average Loss  0.593512, Time  0.266822
2021-09-09 23:14:35.497925 : Epoch  3, Batch    378, Loss  0.587312, Average Loss  0.593513, Time  0.267951
2021-09-09 23:14:37.354784 : Epoch  3, Batch    379, Loss  0.603384, Average Loss  0.593496, Time  0.258278
2021-09-09 23:14:39.227883 : Epoch  3, Batch    380, Loss  0.586042, Average Loss  0.593424, Time  0.264817
2021-09-09 23:14:41.103813 : Epoch  3, Batch    381, Loss  0.587950, Average Loss  0.593436, Time  0.261986
2021-09-09 23:14:42.985861 : Epoch  3, Batch    382, Loss  0.595913, Average Loss  0.593361, Time  0.258843
2021-09-09 23:14:44.872092 : Epoch  3, Batch    383, Loss  0.598696, Average Loss  0.593356, Time  0.258002
2021-09-09 23:14:46.760879 : Epoch  3, Batch    384, Loss  0.585567, Average Loss  0.593289, Time  0.258236
2021-09-09 23:14:48.651782 : Epoch  3, Batch    385, Loss  0.602408, Average Loss  0.593339, Time  0.260085
2021-09-09 23:14:50.550085 : Epoch  3, Batch    386, Loss  0.589860, Average Loss  0.593290, Time  0.258300
2021-09-09 23:14:52.410804 : Epoch  3, Batch    387, Loss  0.583663, Average Loss  0.593162, Time  0.258106
2021-09-09 23:14:54.298890 : Epoch  3, Batch    388, Loss  0.591163, Average Loss  0.593224, Time  0.265744
2021-09-09 23:14:56.199096 : Epoch  3, Batch    389, Loss  0.589294, Average Loss  0.593145, Time  0.266076
2021-09-09 23:14:58.086784 : Epoch  3, Batch    390, Loss  0.587974, Average Loss  0.593165, Time  0.259034
2021-09-09 23:14:59.947821 : Epoch  3, Batch    391, Loss  0.575574, Average Loss  0.593018, Time  0.258388
2021-09-09 23:15:01.810765 : Epoch  3, Batch    392, Loss  0.591879, Average Loss  0.593082, Time  0.261439
2021-09-09 23:15:03.696829 : Epoch  3, Batch    393, Loss  0.594066, Average Loss  0.593105, Time  0.261632
2021-09-09 23:15:05.571998 : Epoch  3, Batch    394, Loss  0.589836, Average Loss  0.593070, Time  0.264127
2021-09-09 23:15:07.434226 : Epoch  3, Batch    395, Loss  0.583776, Average Loss  0.593003, Time  0.258852
2021-09-09 23:15:09.308087 : Epoch  3, Batch    396, Loss  0.581038, Average Loss  0.592954, Time  0.259272
2021-09-09 23:15:13.303922 : Epoch  3, Batch    397, Loss  0.590670, Average Loss  0.592899, Time  0.272531
2021-09-09 23:15:15.186024 : Epoch  3, Batch    398, Loss  0.600493, Average Loss  0.592912, Time  0.259015
2021-09-09 23:15:17.071095 : Epoch  3, Batch    399, Loss  0.597797, Average Loss  0.592945, Time  0.269780
2021-09-09 23:15:18.940088 : Epoch  3, Batch    400, Loss  0.592842, Average Loss  0.592876, Time  0.260226
2021-09-09 23:15:20.807904 : Epoch  3, Batch    401, Loss  0.591542, Average Loss  0.592833, Time  0.269845
2021-09-09 23:15:22.683808 : Epoch  3, Batch    402, Loss  0.596207, Average Loss  0.592837, Time  0.259602
2021-09-09 23:15:24.576837 : Epoch  3, Batch    403, Loss  0.584885, Average Loss  0.592753, Time  0.258799
2021-09-09 23:15:26.485139 : Epoch  3, Batch    404, Loss  0.595718, Average Loss  0.592796, Time  0.264730
2021-09-09 23:15:28.409913 : Epoch  3, Batch    405, Loss  0.593189, Average Loss  0.592695, Time  0.264963
2021-09-09 23:15:30.299089 : Epoch  3, Batch    406, Loss  0.574793, Average Loss  0.592549, Time  0.258326
2021-09-09 23:15:32.214770 : Epoch  3, Batch    407, Loss  0.594620, Average Loss  0.592560, Time  0.271015
2021-09-09 23:15:34.111141 : Epoch  3, Batch    408, Loss  0.587187, Average Loss  0.592507, Time  0.258692
2021-09-09 23:15:36.003787 : Epoch  3, Batch    409, Loss  0.589417, Average Loss  0.592468, Time  0.261687
2021-09-09 23:15:37.884895 : Epoch  3, Batch    410, Loss  0.580939, Average Loss  0.592389, Time  0.259127
2021-09-09 23:15:39.784100 : Epoch  3, Batch    411, Loss  0.588341, Average Loss  0.592391, Time  0.262439
2021-09-09 23:15:41.688035 : Epoch  3, Batch    412, Loss  0.586460, Average Loss  0.592358, Time  0.258239
2021-09-09 23:15:43.566845 : Epoch  3, Batch    413, Loss  0.593766, Average Loss  0.592321, Time  0.264410
2021-09-09 23:15:45.461962 : Epoch  3, Batch    414, Loss  0.591545, Average Loss  0.592281, Time  0.261274
2021-09-09 23:15:47.352991 : Epoch  3, Batch    415, Loss  0.593713, Average Loss  0.592287, Time  0.262825
2021-09-09 23:15:49.234843 : Epoch  3, Batch    416, Loss  0.585811, Average Loss  0.592242, Time  0.258874
2021-09-09 23:15:51.109627 : Epoch  3, Batch    417, Loss  0.602661, Average Loss  0.592291, Time  0.265077
2021-09-09 23:15:52.968087 : Epoch  3, Batch    418, Loss  0.582498, Average Loss  0.592228, Time  0.259277
2021-09-09 23:15:54.856851 : Epoch  3, Batch    419, Loss  0.596552, Average Loss  0.592216, Time  0.260572
2021-09-09 23:15:56.750416 : Epoch  3, Batch    420, Loss  0.587788, Average Loss  0.592207, Time  0.261961
2021-09-09 23:15:58.643900 : Epoch  3, Batch    421, Loss  0.590220, Average Loss  0.592182, Time  0.266616
2021-09-09 23:16:00.531024 : Epoch  3, Batch    422, Loss  0.592330, Average Loss  0.592170, Time  0.258781
2021-09-09 23:16:02.444110 : Epoch  3, Batch    423, Loss  0.590331, Average Loss  0.592156, Time  0.261599
2021-09-09 23:16:04.326845 : Epoch  3, Batch    424, Loss  0.590846, Average Loss  0.592097, Time  0.261991
2021-09-09 23:16:06.224931 : Epoch  3, Batch    425, Loss  0.590699, Average Loss  0.592097, Time  0.264528
2021-09-09 23:16:10.173078 : Epoch  3, Batch    426, Loss  0.585802, Average Loss  0.592036, Time  0.267688
2021-09-09 23:16:24.766716 : CheckPoint: Validation Loss  0.00060256, Best Loss  0.00056427
2021-09-09 23:16:26.631775 : Epoch  7, Batch   3035, Loss  0.854154, Average Loss  0.868834, Time  0.417308
2021-09-09 23:16:28.535788 : Epoch  7, Batch   3036, Loss  0.865906, Average Loss  0.868769, Time  0.459141
2021-09-09 23:16:30.299778 : Epoch  7, Batch   3037, Loss  0.880388, Average Loss  0.868857, Time  0.340600
2021-09-09 23:16:32.108783 : Epoch  7, Batch   3038, Loss  0.888095, Average Loss  0.869113, Time  0.359771
2021-09-09 23:16:33.880785 : Epoch  7, Batch   3039, Loss  0.894225, Average Loss  0.869111, Time  0.360839
2021-09-09 23:16:35.768116 : Epoch  7, Batch   3040, Loss  0.901493, Average Loss  0.869268, Time  0.452994
2021-09-09 23:16:37.518416 : Epoch  7, Batch   3041, Loss  0.864235, Average Loss  0.869282, Time  0.356687
2021-09-09 23:16:39.289822 : Epoch  7, Batch   3042, Loss  0.842476, Average Loss  0.869192, Time  0.361870
2021-09-09 23:16:41.108774 : Epoch  7, Batch   3043, Loss  0.870816, Average Loss  0.869183, Time  0.393763
2021-09-09 23:16:43.010795 : Epoch  7, Batch   3044, Loss  0.878717, Average Loss  0.869203, Time  0.467698
2021-09-09 23:16:44.801781 : Epoch  7, Batch   3045, Loss  0.834688, Average Loss  0.869093, Time  0.363948
2021-09-09 23:16:46.610827 : Epoch  7, Batch   3046, Loss  0.882592, Average Loss  0.869248, Time  0.375607
2021-09-09 23:16:48.405788 : Epoch  7, Batch   3047, Loss  0.847945, Average Loss  0.869104, Time  0.379151
2021-09-09 23:16:50.313780 : Epoch  7, Batch   3048, Loss  0.868871, Average Loss  0.869154, Time  0.469270
2021-09-09 23:16:52.141773 : Epoch  7, Batch   3049, Loss  0.876004, Average Loss  0.869196, Time  0.412072
2021-09-09 23:16:53.905194 : Epoch  7, Batch   3050, Loss  0.882359, Average Loss  0.869221, Time  0.360249
2021-09-09 23:16:55.716782 : Epoch  7, Batch   3051, Loss  0.866164, Average Loss  0.869315, Time  0.363617
2021-09-09 23:16:57.580780 : Epoch  7, Batch   3052, Loss  0.843616, Average Loss  0.869256, Time  0.436861
2021-09-09 23:16:59.503851 : Epoch  7, Batch   3053, Loss  0.877593, Average Loss  0.869210, Time  0.448419
2021-09-09 23:17:01.261768 : Epoch  7, Batch   3054, Loss  0.902964, Average Loss  0.869274, Time  0.361880
2021-09-09 23:17:03.037765 : Epoch  7, Batch   3055, Loss  0.879713, Average Loss  0.869325, Time  0.357394
2021-09-09 23:17:04.857113 : Epoch  7, Batch   3056, Loss  0.865634, Average Loss  0.869338, Time  0.396557
2021-09-09 23:17:06.706214 : Epoch  7, Batch   3057, Loss  0.884098, Average Loss  0.869422, Time  0.451871
2021-09-09 23:17:08.488970 : Epoch  7, Batch   3058, Loss  0.855949, Average Loss  0.869361, Time  0.356181
2021-09-09 23:17:10.282918 : Epoch  7, Batch   3059, Loss  0.845934, Average Loss  0.869216, Time  0.359385
2021-09-09 23:17:12.081385 : Epoch  7, Batch   3060, Loss  0.859292, Average Loss  0.869193, Time  0.392240
2021-09-09 23:17:13.943781 : Epoch  7, Batch   3061, Loss  0.885224, Average Loss  0.869290, Time  0.449961
2021-09-09 23:17:15.696600 : Epoch  7, Batch   3062, Loss  0.851059, Average Loss  0.869142, Time  0.362492
2021-09-09 23:17:17.493247 : Epoch  7, Batch   3063, Loss  0.887029, Average Loss  0.869261, Time  0.364081
2021-09-09 23:17:19.311996 : Epoch  7, Batch   3064, Loss  0.853361, Average Loss  0.869093, Time  0.407284
2021-09-09 23:17:19.586735 : CheckPoint: Validation Loss  0.00024304, Best Loss  0.00024158
2021-09-09 23:17:21.216814 : Epoch  7, Batch   3065, Loss  0.872176, Average Loss  0.869033, Time  0.470149
2021-09-09 23:17:21.460867 : Epoch  3, Batch    427, Loss  0.595572, Average Loss  0.592011, Time  0.267528
2021-09-09 23:17:22.991905 : Epoch  7, Batch   3066, Loss  0.858659, Average Loss  0.868864, Time  0.369643
2021-09-09 23:17:23.358766 : Epoch  3, Batch    428, Loss  0.585519, Average Loss  0.591954, Time  0.258291
2021-09-09 23:17:24.782045 : Epoch  7, Batch   3067, Loss  0.887741, Average Loss  0.868968, Time  0.359185
2021-09-09 23:17:25.224819 : Epoch  3, Batch    429, Loss  0.600884, Average Loss  0.592014, Time  0.261610
2021-09-09 23:17:26.600840 : Epoch  7, Batch   3068, Loss  0.854177, Average Loss  0.868780, Time  0.395504
2021-09-09 23:17:27.097080 : Epoch  3, Batch    430, Loss  0.578685, Average Loss  0.591933, Time  0.259874
2021-09-09 23:17:28.536824 : Epoch  7, Batch   3069, Loss  0.859399, Average Loss  0.868714, Time  0.509043
2021-09-09 23:17:28.994764 : Epoch  3, Batch    431, Loss  0.578572, Average Loss  0.591840, Time  0.259405
2021-09-09 23:17:30.324785 : Epoch  7, Batch   3070, Loss  0.895450, Average Loss  0.869044, Time  0.357867
2021-09-09 23:17:30.861080 : Epoch  3, Batch    432, Loss  0.590415, Average Loss  0.591847, Time  0.261986
2021-09-09 23:17:32.135217 : Epoch  7, Batch   3071, Loss  0.870277, Average Loss  0.869126, Time  0.355957
2021-09-09 23:17:32.742766 : Epoch  3, Batch    433, Loss  0.609179, Average Loss  0.591885, Time  0.258662
2021-09-09 23:17:33.955102 : Epoch  7, Batch   3072, Loss  0.895508, Average Loss  0.869253, Time  0.374585
2021-09-09 23:17:34.654773 : Epoch  3, Batch    434, Loss  0.596317, Average Loss  0.591851, Time  0.258226
2021-09-09 23:17:35.837087 : Epoch  7, Batch   3073, Loss  0.871516, Average Loss  0.869424, Time  0.451282
2021-09-09 23:17:36.577774 : Epoch  3, Batch    435, Loss  0.579617, Average Loss  0.591783, Time  0.258077
2021-09-09 23:17:37.631911 : Epoch  7, Batch   3074, Loss  0.870535, Average Loss  0.869412, Time  0.335766
2021-09-09 23:17:38.494065 : Epoch  3, Batch    436, Loss  0.592053, Average Loss  0.591698, Time  0.258439
2021-09-09 23:17:39.442974 : Epoch  7, Batch   3075, Loss  0.862268, Average Loss  0.869359, Time  0.355129
2021-09-09 23:17:40.387787 : Epoch  3, Batch    437, Loss  0.585803, Average Loss  0.591681, Time  0.258045
2021-09-09 23:17:41.260240 : Epoch  7, Batch   3076, Loss  0.852082, Average Loss  0.869296, Time  0.357277
2021-09-09 23:17:42.312836 : Epoch  3, Batch    438, Loss  0.591753, Average Loss  0.591603, Time  0.258081
2021-09-09 23:17:43.149813 : Epoch  7, Batch   3077, Loss  0.858730, Average Loss  0.869249, Time  0.452552
2021-09-09 23:17:44.221783 : Epoch  3, Batch    439, Loss  0.588893, Average Loss  0.591592, Time  0.258009
2021-09-09 23:17:45.076773 : Epoch  7, Batch   3078, Loss  0.861027, Average Loss  0.869136, Time  0.445092
2021-09-09 23:17:46.140086 : Epoch  3, Batch    440, Loss  0.586471, Average Loss  0.591569, Time  0.263644
2021-09-09 23:17:46.889767 : Epoch  7, Batch   3079, Loss  0.890623, Average Loss  0.869243, Time  0.358338
2021-09-09 23:17:48.037773 : Epoch  3, Batch    441, Loss  0.579723, Average Loss  0.591472, Time  0.258576
2021-09-09 23:17:48.712083 : Epoch  7, Batch   3080, Loss  0.850291, Average Loss  0.869235, Time  0.357105
2021-09-09 23:17:49.935932 : Epoch  3, Batch    442, Loss  0.594860, Average Loss  0.591518, Time  0.258598
2021-09-09 23:17:50.534822 : Epoch  7, Batch   3081, Loss  0.892917, Average Loss  0.869479, Time  0.392229
2021-09-09 23:17:51.800854 : Epoch  3, Batch    443, Loss  0.584412, Average Loss  0.591485, Time  0.261905
2021-09-09 23:17:52.443128 : Epoch  7, Batch   3082, Loss  0.893680, Average Loss  0.869649, Time  0.454862
2021-09-09 23:17:53.712773 : Epoch  3, Batch    444, Loss  0.592704, Average Loss  0.591458, Time  0.258541
2021-09-09 23:17:54.224245 : Epoch  7, Batch   3083, Loss  0.872334, Average Loss  0.869628, Time  0.351792
2021-09-09 23:17:55.603781 : Epoch  3, Batch    445, Loss  0.578671, Average Loss  0.591379, Time  0.262753
2021-09-09 23:17:56.035278 : Epoch  7, Batch   3084, Loss  0.874760, Average Loss  0.869625, Time  0.356385
2021-09-09 23:17:57.479137 : Epoch  3, Batch    446, Loss  0.578939, Average Loss  0.591256, Time  0.261793
2021-09-09 23:17:57.822815 : Epoch  7, Batch   3085, Loss  0.865515, Average Loss  0.869596, Time  0.356336
2021-09-09 23:17:59.372868 : Epoch  3, Batch    447, Loss  0.576353, Average Loss  0.591163, Time  0.264678
2021-09-09 23:17:59.709131 : Epoch  7, Batch   3086, Loss  0.883348, Average Loss  0.869744, Time  0.473864
2021-09-09 23:18:01.237202 : Epoch  3, Batch    448, Loss  0.586077, Average Loss  0.591115, Time  0.258434
2021-09-09 23:18:01.481774 : Epoch  7, Batch   3087, Loss  0.877309, Average Loss  0.869831, Time  0.357066
2021-09-09 23:18:03.132857 : Epoch  3, Batch    449, Loss  0.585185, Average Loss  0.591127, Time  0.258241
2021-09-09 23:18:03.274184 : Epoch  7, Batch   3088, Loss  0.858057, Average Loss  0.869671, Time  0.356683
2021-09-09 23:18:05.045087 : Epoch  3, Batch    450, Loss  0.593024, Average Loss  0.591158, Time  0.261804
2021-09-09 23:18:05.077839 : Epoch  7, Batch   3089, Loss  0.831875, Average Loss  0.869481, Time  0.363354
2021-09-09 23:18:06.951915 : Epoch  3, Batch    451, Loss  0.581007, Average Loss  0.591092, Time  0.259254
2021-09-09 23:18:06.994252 : Epoch  7, Batch   3090, Loss  0.853405, Average Loss  0.869460, Time  0.451383
2021-09-09 23:18:08.835910 : Epoch  3, Batch    452, Loss  0.583947, Average Loss  0.591092, Time  0.258058
2021-09-09 23:18:08.892099 : Epoch  7, Batch   3091, Loss  0.861344, Average Loss  0.869388, Time  0.408898
2021-09-09 23:18:10.721787 : Epoch  7, Batch   3092, Loss  0.898250, Average Loss  0.869543, Time  0.359999
2021-09-09 23:18:10.763818 : Epoch  3, Batch    453, Loss  0.587897, Average Loss  0.591054, Time  0.265835
2021-09-09 23:18:12.552770 : Epoch  7, Batch   3093, Loss  0.865993, Average Loss  0.869590, Time  0.353797
2021-09-09 23:18:12.655858 : Epoch  3, Batch    454, Loss  0.583419, Average Loss  0.590979, Time  0.259133
2021-09-09 23:18:14.392821 : Epoch  7, Batch   3094, Loss  0.861270, Average Loss  0.869530, Time  0.397643
2021-09-09 23:18:14.538756 : Epoch  3, Batch    455, Loss  0.587660, Average Loss  0.590924, Time  0.258204
2021-09-09 23:18:16.302787 : Epoch  7, Batch   3095, Loss  0.823164, Average Loss  0.869452, Time  0.450372
2021-09-09 23:18:16.446819 : Epoch  3, Batch    456, Loss  0.589903, Average Loss  0.590892, Time  0.262731
2021-09-09 23:18:18.163786 : Epoch  7, Batch   3096, Loss  0.881127, Average Loss  0.869564, Time  0.411433
2021-09-09 23:18:18.340827 : Epoch  3, Batch    457, Loss  0.593957, Average Loss  0.590899, Time  0.262111
2021-09-09 23:18:19.956033 : Epoch  7, Batch   3097, Loss  0.887951, Average Loss  0.869769, Time  0.357283
2021-09-09 23:18:20.207793 : Epoch  3, Batch    458, Loss  0.584343, Average Loss  0.590880, Time  0.259658
2021-09-09 23:18:21.762144 : Epoch  7, Batch   3098, Loss  0.882323, Average Loss  0.869815, Time  0.356926
2021-09-09 23:18:22.079073 : Epoch  3, Batch    459, Loss  0.594667, Average Loss  0.590832, Time  0.258241
2021-09-09 23:18:23.641779 : Epoch  7, Batch   3099, Loss  0.875446, Average Loss  0.869918, Time  0.427394
2021-09-09 23:18:24.008923 : Epoch  3, Batch    460, Loss  0.591098, Average Loss  0.590804, Time  0.262382
2021-09-09 23:18:25.549764 : Epoch  7, Batch   3100, Loss  0.896638, Average Loss  0.870163, Time  0.454846
2021-09-09 23:18:25.924799 : Epoch  3, Batch    461, Loss  0.591430, Average Loss  0.590802, Time  0.258712
2021-09-09 23:18:27.405096 : Epoch  7, Batch   3101, Loss  0.865334, Average Loss  0.870078, Time  0.393578
2021-09-09 23:18:27.830088 : Epoch  3, Batch    462, Loss  0.578762, Average Loss  0.590703, Time  0.261491
2021-09-09 23:18:29.208785 : Epoch  7, Batch   3102, Loss  0.859937, Average Loss  0.869968, Time  0.356966
2021-09-09 23:18:29.742092 : Epoch  3, Batch    463, Loss  0.593635, Average Loss  0.590665, Time  0.263454
2021-09-09 23:18:31.019613 : Epoch  7, Batch   3103, Loss  0.849968, Average Loss  0.869793, Time  0.356164
2021-09-09 23:18:31.637386 : Epoch  3, Batch    464, Loss  0.588339, Average Loss  0.590684, Time  0.261064
2021-09-09 23:18:32.887766 : Epoch  7, Batch   3104, Loss  0.861068, Average Loss  0.869785, Time  0.456493
2021-09-09 23:18:33.536814 : Epoch  3, Batch    465, Loss  0.590410, Average Loss  0.590668, Time  0.258312
2021-09-09 23:18:34.766776 : Epoch  7, Batch   3105, Loss  0.875753, Average Loss  0.869737, Time  0.449369
2021-09-09 23:18:35.431778 : Epoch  3, Batch    466, Loss  0.588054, Average Loss  0.590702, Time  0.261201
2021-09-09 23:18:36.543083 : Epoch  7, Batch   3106, Loss  0.858480, Average Loss  0.869787, Time  0.363093
2021-09-09 23:18:37.333779 : Epoch  3, Batch    467, Loss  0.593201, Average Loss  0.590722, Time  0.262210
2021-09-09 23:18:38.303979 : Epoch  7, Batch   3107, Loss  0.863314, Average Loss  0.869870, Time  0.357432
2021-09-09 23:18:39.233904 : Epoch  3, Batch    468, Loss  0.588481, Average Loss  0.590722, Time  0.258365
2021-09-09 23:18:40.150791 : Epoch  7, Batch   3108, Loss  0.878018, Average Loss  0.869795, Time  0.411965
2021-09-09 23:18:41.150874 : Epoch  3, Batch    469, Loss  0.581527, Average Loss  0.590682, Time  0.258327
2021-09-09 23:18:42.039303 : Epoch  7, Batch   3109, Loss  0.855497, Average Loss  0.869757, Time  0.462000
2021-09-09 23:18:43.026076 : Epoch  3, Batch    470, Loss  0.588864, Average Loss  0.590640, Time  0.262555
2021-09-09 23:18:43.812360 : Epoch  7, Batch   3110, Loss  0.863384, Average Loss  0.869629, Time  0.354602
2021-09-09 23:18:44.911804 : Epoch  3, Batch    471, Loss  0.584815, Average Loss  0.590639, Time  0.258367
2021-09-09 23:18:45.591766 : Epoch  7, Batch   3111, Loss  0.909940, Average Loss  0.869740, Time  0.361200
2021-09-09 23:18:46.791074 : Epoch  3, Batch    472, Loss  0.588861, Average Loss  0.590673, Time  0.265867
2021-09-09 23:18:47.367767 : Epoch  7, Batch   3112, Loss  0.865952, Average Loss  0.869563, Time  0.356635
2021-09-09 23:18:48.698093 : Epoch  3, Batch    473, Loss  0.601531, Average Loss  0.590729, Time  0.261369
2021-09-09 23:18:49.283778 : Epoch  7, Batch   3113, Loss  0.864436, Average Loss  0.869392, Time  0.477893
2021-09-09 23:18:50.603896 : Epoch  3, Batch    474, Loss  0.601716, Average Loss  0.590794, Time  0.262349
2021-09-09 23:18:51.141901 : Epoch  7, Batch   3114, Loss  0.870758, Average Loss  0.869265, Time  0.430906
2021-09-09 23:18:52.500866 : Epoch  3, Batch    475, Loss  0.591459, Average Loss  0.590777, Time  0.257968
2021-09-09 23:18:52.944116 : Epoch  7, Batch   3115, Loss  0.904030, Average Loss  0.869524, Time  0.364004
2021-09-09 23:18:54.356878 : Epoch  3, Batch    476, Loss  0.587589, Average Loss  0.590726, Time  0.258243
2021-09-09 23:18:54.739127 : Epoch  7, Batch   3116, Loss  0.864765, Average Loss  0.869458, Time  0.373515
2021-09-09 23:18:56.226842 : Epoch  3, Batch    477, Loss  0.594440, Average Loss  0.590674, Time  0.259277
2021-09-09 23:18:56.578123 : Epoch  7, Batch   3117, Loss  0.880778, Average Loss  0.869449, Time  0.436808
2021-09-09 23:18:58.148190 : Epoch  3, Batch    478, Loss  0.589423, Average Loss  0.590623, Time  0.258637
2021-09-09 23:18:58.464775 : Epoch  7, Batch   3118, Loss  0.867339, Average Loss  0.869490, Time  0.458904
2021-09-09 23:19:00.113951 : Epoch  3, Batch    479, Loss  0.580601, Average Loss  0.590508, Time  0.258293
2021-09-09 23:19:00.292812 : Epoch  7, Batch   3119, Loss  0.873078, Average Loss  0.869542, Time  0.399916
2021-09-09 23:19:02.036890 : Epoch  3, Batch    480, Loss  0.575857, Average Loss  0.590409, Time  0.259215
2021-09-09 23:19:02.233151 : Epoch  7, Batch   3120, Loss  0.855612, Average Loss  0.869423, Time  0.361577
2021-09-09 23:19:03.934905 : Epoch  3, Batch    481, Loss  0.595367, Average Loss  0.590405, Time  0.264302
2021-09-09 23:19:04.008814 : Epoch  7, Batch   3121, Loss  0.881959, Average Loss  0.869591, Time  0.359313
2021-09-09 23:19:05.811828 : Epoch  3, Batch    482, Loss  0.587108, Average Loss  0.590379, Time  0.258269
2021-09-09 23:19:05.933807 : Epoch  7, Batch   3122, Loss  0.845425, Average Loss  0.869538, Time  0.455188
2021-09-09 23:19:07.746975 : Epoch  3, Batch    483, Loss  0.589750, Average Loss  0.590345, Time  0.258138
2021-09-09 23:19:07.807790 : Epoch  7, Batch   3123, Loss  0.881121, Average Loss  0.869804, Time  0.453734
2021-09-09 23:19:09.587823 : Epoch  7, Batch   3124, Loss  0.878745, Average Loss  0.869956, Time  0.372365
2021-09-09 23:19:09.635796 : Epoch  3, Batch    484, Loss  0.579313, Average Loss  0.590241, Time  0.258493
2021-09-09 23:19:11.374813 : Epoch  7, Batch   3125, Loss  0.862094, Average Loss  0.869848, Time  0.362369
2021-09-09 23:19:11.520850 : Epoch  3, Batch    485, Loss  0.588160, Average Loss  0.590217, Time  0.263489
2021-09-09 23:19:13.223783 : Epoch  7, Batch   3126, Loss  0.847428, Average Loss  0.869746, Time  0.419327
2021-09-09 23:19:13.394810 : Epoch  3, Batch    486, Loss  0.592592, Average Loss  0.590247, Time  0.264265
2021-09-09 23:19:15.120920 : Epoch  7, Batch   3127, Loss  0.866379, Average Loss  0.869690, Time  0.464702
2021-09-09 23:19:15.295097 : Epoch  3, Batch    487, Loss  0.580540, Average Loss  0.590141, Time  0.261002
2021-09-09 23:19:16.912223 : Epoch  7, Batch   3128, Loss  0.866861, Average Loss  0.869535, Time  0.355999
2021-09-09 23:19:17.207802 : Epoch  3, Batch    488, Loss  0.600345, Average Loss  0.590135, Time  0.262934
2021-09-09 23:19:18.712062 : Epoch  7, Batch   3129, Loss  0.880827, Average Loss  0.869527, Time  0.359708
2021-09-09 23:19:19.088077 : Epoch  3, Batch    489, Loss  0.595737, Average Loss  0.590109, Time  0.260885
2021-09-09 23:19:20.495778 : Epoch  7, Batch   3130, Loss  0.908167, Average Loss  0.869700, Time  0.370096
2021-09-09 23:19:20.951937 : Epoch  3, Batch    490, Loss  0.579730, Average Loss  0.589994, Time  0.258382
2021-09-09 23:19:22.398762 : Epoch  7, Batch   3131, Loss  0.862005, Average Loss  0.869789, Time  0.475937
2021-09-09 23:19:22.838878 : Epoch  3, Batch    491, Loss  0.591563, Average Loss  0.589968, Time  0.267426
2021-09-09 23:19:24.274765 : Epoch  7, Batch   3132, Loss  0.862015, Average Loss  0.869686, Time  0.434695
2021-09-09 23:19:24.731895 : Epoch  3, Batch    492, Loss  0.587074, Average Loss  0.589904, Time  0.266037
2021-09-09 23:19:26.059780 : Epoch  7, Batch   3133, Loss  0.861803, Average Loss  0.869644, Time  0.355871
2021-09-09 23:19:26.614854 : Epoch  3, Batch    493, Loss  0.583981, Average Loss  0.589880, Time  0.258539
2021-09-09 23:19:27.897784 : Epoch  7, Batch   3134, Loss  0.868291, Average Loss  0.869668, Time  0.370861
2021-09-09 23:19:28.516168 : Epoch  3, Batch    494, Loss  0.594560, Average Loss  0.589891, Time  0.262105
2021-09-09 23:19:30.425021 : Epoch  3, Batch    495, Loss  0.583515, Average Loss  0.589855, Time  0.262077
2021-09-09 23:19:32.325512 : Epoch  3, Batch    496, Loss  0.596391, Average Loss  0.589949, Time  0.266119
2021-09-09 23:19:36.306149 : Epoch  3, Batch    497, Loss  0.591858, Average Loss  0.589958, Time  0.276230
2021-09-09 23:19:38.230909 : Epoch  3, Batch    498, Loss  0.578826, Average Loss  0.589943, Time  0.270665
2021-09-09 23:19:40.138082 : Epoch  3, Batch    499, Loss  0.585487, Average Loss  0.589886, Time  0.260331
2021-09-09 23:19:42.033791 : Epoch  3, Batch    500, Loss  0.586094, Average Loss  0.589861, Time  0.261164
2021-09-09 23:19:43.954796 : Epoch  3, Batch    501, Loss  0.581434, Average Loss  0.589784, Time  0.259471
2021-09-09 23:19:45.850089 : Epoch  3, Batch    502, Loss  0.572617, Average Loss  0.589689, Time  0.262437
2021-09-09 23:19:47.742786 : Epoch  3, Batch    503, Loss  0.589833, Average Loss  0.589686, Time  0.258649
2021-09-09 23:19:49.644190 : Epoch  3, Batch    504, Loss  0.603988, Average Loss  0.589743, Time  0.258854
2021-09-09 23:19:51.510862 : Epoch  3, Batch    505, Loss  0.583667, Average Loss  0.589732, Time  0.261480
2021-09-09 23:19:53.385210 : Epoch  3, Batch    506, Loss  0.585827, Average Loss  0.589671, Time  0.258148
2021-09-09 23:19:55.242143 : Epoch  3, Batch    507, Loss  0.595999, Average Loss  0.589691, Time  0.260226
2021-09-09 23:19:57.117100 : Epoch  3, Batch    508, Loss  0.581532, Average Loss  0.589671, Time  0.264321
2021-09-09 23:19:58.974880 : Epoch  3, Batch    509, Loss  0.587779, Average Loss  0.589617, Time  0.261912
2021-09-09 23:20:00.878874 : Epoch  3, Batch    510, Loss  0.583582, Average Loss  0.589515, Time  0.261764
2021-09-09 23:20:02.767979 : Epoch  3, Batch    511, Loss  0.583498, Average Loss  0.589461, Time  0.270822
2021-09-09 23:20:04.687106 : Epoch  3, Batch    512, Loss  0.580928, Average Loss  0.589393, Time  0.264916
2021-09-09 23:20:06.580960 : Epoch  3, Batch    513, Loss  0.589672, Average Loss  0.589395, Time  0.260839
2021-09-09 23:20:08.466941 : Epoch  3, Batch    514, Loss  0.585485, Average Loss  0.589403, Time  0.264297
2021-09-09 23:20:10.355859 : Epoch  3, Batch    515, Loss  0.592869, Average Loss  0.589420, Time  0.263898
2021-09-09 23:20:12.211120 : Epoch  3, Batch    516, Loss  0.590803, Average Loss  0.589411, Time  0.260348
2021-09-09 23:20:14.095799 : Epoch  3, Batch    517, Loss  0.602660, Average Loss  0.589457, Time  0.261969
2021-09-09 23:20:15.956849 : Epoch  3, Batch    518, Loss  0.588003, Average Loss  0.589417, Time  0.258406
2021-09-09 23:20:17.841963 : Epoch  3, Batch    519, Loss  0.599933, Average Loss  0.589439, Time  0.262452
2021-09-09 23:20:19.697091 : Epoch  3, Batch    520, Loss  0.584116, Average Loss  0.589350, Time  0.257703
2021-09-09 23:20:21.563770 : Epoch  3, Batch    521, Loss  0.583441, Average Loss  0.589365, Time  0.261677
2021-09-09 23:20:23.425947 : Epoch  3, Batch    522, Loss  0.579557, Average Loss  0.589296, Time  0.260341
2021-09-09 23:20:25.322494 : Epoch  3, Batch    523, Loss  0.594747, Average Loss  0.589345, Time  0.258522
2021-09-09 23:20:27.238910 : Epoch  3, Batch    524, Loss  0.573864, Average Loss  0.589203, Time  0.265648
2021-09-09 23:20:29.143780 : Epoch  3, Batch    525, Loss  0.574655, Average Loss  0.589100, Time  0.266486
2021-09-09 23:20:31.054853 : Epoch  3, Batch    526, Loss  0.593923, Average Loss  0.589053, Time  0.272574
2021-09-09 23:21:40.567740 : CheckPoint: Validation Loss  0.00023854, Best Loss  0.00023854
2021-09-09 23:21:40.633625 : Best Model Updated
2021-09-09 23:21:43.574780 : Epoch  3, Batch    527, Loss  0.589174, Average Loss  0.589041, Time  0.265081
2021-09-09 23:21:45.493837 : Epoch  3, Batch    528, Loss  0.593154, Average Loss  0.589009, Time  0.257880
2021-09-09 23:21:47.409884 : Epoch  3, Batch    529, Loss  0.583953, Average Loss  0.588944, Time  0.258080
2021-09-09 23:21:49.335031 : Epoch  3, Batch    530, Loss  0.578256, Average Loss  0.588969, Time  0.257986
2021-09-09 23:21:51.253806 : Epoch  3, Batch    531, Loss  0.590671, Average Loss  0.589011, Time  0.258131
2021-09-09 23:21:53.137841 : Epoch  3, Batch    532, Loss  0.589212, Average Loss  0.589027, Time  0.261752
2021-09-09 23:21:55.035824 : Epoch  3, Batch    533, Loss  0.585662, Average Loss  0.588973, Time  0.258099
2021-09-09 23:21:56.914844 : Epoch  3, Batch    534, Loss  0.577382, Average Loss  0.588945, Time  0.258446
2021-09-09 23:21:58.818801 : Epoch  3, Batch    535, Loss  0.582702, Average Loss  0.588901, Time  0.258805
2021-09-09 23:22:00.753088 : Epoch  3, Batch    536, Loss  0.593275, Average Loss  0.588935, Time  0.260375
2021-09-09 23:22:02.656095 : Epoch  3, Batch    537, Loss  0.572411, Average Loss  0.588915, Time  0.266352
2021-09-09 23:22:04.551900 : Epoch  3, Batch    538, Loss  0.586602, Average Loss  0.588901, Time  0.261898
2021-09-09 23:22:06.435788 : Epoch  3, Batch    539, Loss  0.590814, Average Loss  0.588932, Time  0.258408
2021-09-09 23:22:08.312371 : Epoch  3, Batch    540, Loss  0.571602, Average Loss  0.588848, Time  0.261482
2021-09-09 23:22:10.182109 : Epoch  3, Batch    541, Loss  0.583920, Average Loss  0.588763, Time  0.258949
2021-09-09 23:22:12.044817 : Epoch  3, Batch    542, Loss  0.580429, Average Loss  0.588725, Time  0.258320
2021-09-09 23:22:13.953825 : Epoch  3, Batch    543, Loss  0.576376, Average Loss  0.588682, Time  0.258429
2021-09-09 23:22:15.837077 : Epoch  3, Batch    544, Loss  0.585432, Average Loss  0.588637, Time  0.263000
2021-09-09 23:22:17.732140 : Epoch  3, Batch    545, Loss  0.578942, Average Loss  0.588547, Time  0.266543
2021-09-09 23:22:19.601839 : Epoch  3, Batch    546, Loss  0.587260, Average Loss  0.588490, Time  0.258399
2021-09-09 23:22:21.504817 : Epoch  3, Batch    547, Loss  0.581189, Average Loss  0.588444, Time  0.258056
2021-09-09 23:22:23.380872 : Epoch  3, Batch    548, Loss  0.578842, Average Loss  0.588400, Time  0.266203
2021-09-09 23:22:25.267805 : Epoch  3, Batch    549, Loss  0.584701, Average Loss  0.588390, Time  0.264178
2021-09-09 23:22:27.159395 : Epoch  3, Batch    550, Loss  0.589293, Average Loss  0.588327, Time  0.258338
2021-09-09 23:22:29.055115 : Epoch  3, Batch    551, Loss  0.581891, Average Loss  0.588294, Time  0.269506
2021-09-09 23:22:30.925080 : Epoch  3, Batch    552, Loss  0.585797, Average Loss  0.588270, Time  0.261317
2021-09-09 23:22:32.805100 : Epoch  3, Batch    553, Loss  0.585354, Average Loss  0.588230, Time  0.258277
2021-09-09 23:22:34.662252 : Epoch  3, Batch    554, Loss  0.566857, Average Loss  0.588069, Time  0.258276
2021-09-09 23:22:36.559104 : Epoch  3, Batch    555, Loss  0.596528, Average Loss  0.588087, Time  0.258444
2021-09-09 23:22:38.450081 : Epoch  3, Batch    556, Loss  0.578832, Average Loss  0.588042, Time  0.258429
2021-09-09 23:22:40.369878 : Epoch  3, Batch    557, Loss  0.577459, Average Loss  0.587969, Time  0.267050
2021-09-09 23:22:42.257116 : Epoch  3, Batch    558, Loss  0.589446, Average Loss  0.588031, Time  0.258673
2021-09-09 23:22:44.198078 : Epoch  3, Batch    559, Loss  0.582369, Average Loss  0.588007, Time  0.258064
2021-09-09 23:22:46.088090 : Epoch  3, Batch    560, Loss  0.586968, Average Loss  0.587924, Time  0.262341
2021-09-09 23:22:47.993800 : Epoch  3, Batch    561, Loss  0.574989, Average Loss  0.587881, Time  0.258311
2021-09-09 23:22:49.860124 : Epoch  3, Batch    562, Loss  0.572057, Average Loss  0.587752, Time  0.261755
2021-09-09 23:22:51.730088 : Epoch  3, Batch    563, Loss  0.582480, Average Loss  0.587669, Time  0.258140
2021-09-09 23:22:53.614089 : Epoch  3, Batch    564, Loss  0.576325, Average Loss  0.587580, Time  0.258678
2021-09-09 23:22:55.487131 : Epoch  3, Batch    565, Loss  0.598752, Average Loss  0.587614, Time  0.260092
2021-09-09 23:22:57.408089 : Epoch  3, Batch    566, Loss  0.571836, Average Loss  0.587513, Time  0.258214
2021-09-09 23:22:59.316789 : Epoch  3, Batch    567, Loss  0.582801, Average Loss  0.587513, Time  0.258152
2021-09-09 23:23:01.235095 : Epoch  3, Batch    568, Loss  0.582561, Average Loss  0.587480, Time  0.258231
2021-09-09 23:23:03.143095 : Epoch  3, Batch    569, Loss  0.586510, Average Loss  0.587437, Time  0.259019
2021-09-09 23:23:05.044081 : Epoch  3, Batch    570, Loss  0.564559, Average Loss  0.587334, Time  0.263463
2021-09-09 23:23:06.926802 : Epoch  3, Batch    571, Loss  0.579044, Average Loss  0.587242, Time  0.260489
2021-09-09 23:23:08.782099 : Epoch  3, Batch    572, Loss  0.577871, Average Loss  0.587186, Time  0.259088
2021-09-09 23:23:10.667115 : Epoch  3, Batch    573, Loss  0.577850, Average Loss  0.587161, Time  0.258330
2021-09-09 23:23:12.546833 : Epoch  3, Batch    574, Loss  0.574492, Average Loss  0.587027, Time  0.258692
2021-09-09 23:23:14.428797 : Epoch  3, Batch    575, Loss  0.581975, Average Loss  0.587033, Time  0.264752
2021-09-09 23:23:16.322905 : Epoch  3, Batch    576, Loss  0.583439, Average Loss  0.587023, Time  0.259530
2021-09-09 23:23:18.195830 : Epoch  3, Batch    577, Loss  0.584495, Average Loss  0.587094, Time  0.265130
2021-09-09 23:23:20.062852 : Epoch  3, Batch    578, Loss  0.593902, Average Loss  0.587127, Time  0.262487
2021-09-09 23:23:21.949858 : Epoch  3, Batch    579, Loss  0.593016, Average Loss  0.587075, Time  0.266685
2021-09-09 23:23:23.864987 : Epoch  3, Batch    580, Loss  0.586713, Average Loss  0.587079, Time  0.260407
2021-09-09 23:23:25.774772 : Epoch  3, Batch    581, Loss  0.579569, Average Loss  0.587037, Time  0.266042
2021-09-09 23:23:27.665776 : Epoch  3, Batch    582, Loss  0.587427, Average Loss  0.586994, Time  0.259843
2021-09-09 23:23:29.571828 : Epoch  3, Batch    583, Loss  0.581688, Average Loss  0.586909, Time  0.268181
2021-09-09 23:23:31.481102 : Epoch  3, Batch    584, Loss  0.591694, Average Loss  0.586940, Time  0.268989
2021-09-09 23:23:33.357112 : Epoch  3, Batch    585, Loss  0.580599, Average Loss  0.586831, Time  0.258360
2021-09-09 23:23:35.287117 : Epoch  3, Batch    586, Loss  0.580778, Average Loss  0.586785, Time  0.258177
2021-09-09 23:23:37.183107 : Epoch  3, Batch    587, Loss  0.591491, Average Loss  0.586825, Time  0.260064
2021-09-09 23:23:39.073866 : Epoch  3, Batch    588, Loss  0.581446, Average Loss  0.586776, Time  0.266441
2021-09-09 23:23:40.952103 : Epoch  3, Batch    589, Loss  0.573561, Average Loss  0.586697, Time  0.260113
2021-09-09 23:23:42.857085 : Epoch  3, Batch    590, Loss  0.579408, Average Loss  0.586654, Time  0.266253
2021-09-09 23:23:44.750138 : Epoch  3, Batch    591, Loss  0.581730, Average Loss  0.586685, Time  0.265460
2021-09-09 23:23:46.618099 : Epoch  3, Batch    592, Loss  0.588537, Average Loss  0.586669, Time  0.258633
2021-09-09 23:23:48.484841 : Epoch  3, Batch    593, Loss  0.575377, Average Loss  0.586575, Time  0.258766
2021-09-09 23:23:50.362112 : Epoch  3, Batch    594, Loss  0.578088, Average Loss  0.586516, Time  0.258195
2021-09-09 23:23:52.233865 : Epoch  3, Batch    595, Loss  0.578717, Average Loss  0.586491, Time  0.258309
2021-09-09 23:23:54.165228 : Epoch  3, Batch    596, Loss  0.579238, Average Loss  0.586482, Time  0.260195
2021-09-09 23:23:58.166807 : Epoch  3, Batch    597, Loss  0.576855, Average Loss  0.586413, Time  0.265203
2021-09-09 23:24:00.049764 : Epoch  3, Batch    598, Loss  0.595635, Average Loss  0.586389, Time  0.258307
2021-09-09 23:24:01.944782 : Epoch  3, Batch    599, Loss  0.579484, Average Loss  0.586297, Time  0.257920
2021-09-09 23:24:03.868893 : Epoch  3, Batch    600, Loss  0.593192, Average Loss  0.586299, Time  0.265580
2021-09-09 23:24:05.789951 : Epoch  3, Batch    601, Loss  0.586692, Average Loss  0.586275, Time  0.262461
2021-09-09 23:24:07.675088 : Epoch  3, Batch    602, Loss  0.579247, Average Loss  0.586190, Time  0.258039
2021-09-09 23:24:09.539833 : Epoch  3, Batch    603, Loss  0.573801, Average Loss  0.586134, Time  0.261024
2021-09-09 23:24:11.499154 : Epoch  3, Batch    604, Loss  0.573337, Average Loss  0.586022, Time  0.266365
2021-09-09 23:24:13.450797 : Epoch  3, Batch    605, Loss  0.588506, Average Loss  0.585999, Time  0.258466
2021-09-09 23:24:15.352093 : Epoch  3, Batch    606, Loss  0.584037, Average Loss  0.586045, Time  0.261231
2021-09-09 23:24:17.233814 : Epoch  3, Batch    607, Loss  0.583998, Average Loss  0.585992, Time  0.260015
2021-09-09 23:24:19.111082 : Epoch  3, Batch    608, Loss  0.571361, Average Loss  0.585913, Time  0.262646
2021-09-09 23:24:19.225708 : CheckPoint: Validation Loss  0.00058938, Best Loss  0.00056427
2021-09-09 23:24:20.987804 : Epoch  3, Batch    609, Loss  0.578716, Average Loss  0.585860, Time  0.258472
2021-09-09 23:24:21.042376 : Epoch  7, Batch   3135, Loss  0.862585, Average Loss  0.869594, Time  0.368739
2021-09-09 23:24:22.846782 : Epoch  7, Batch   3136, Loss  0.870560, Average Loss  0.869507, Time  0.359860
2021-09-09 23:24:22.911033 : Epoch  3, Batch    610, Loss  0.590131, Average Loss  0.585905, Time  0.257730
2021-09-09 23:24:24.665781 : Epoch  7, Batch   3137, Loss  0.848736, Average Loss  0.869419, Time  0.374232
2021-09-09 23:24:24.842780 : Epoch  3, Batch    611, Loss  0.584760, Average Loss  0.585888, Time  0.271006
2021-09-09 23:24:26.570297 : Epoch  7, Batch   3138, Loss  0.838771, Average Loss  0.869334, Time  0.407120
2021-09-09 23:24:26.714896 : Epoch  3, Batch    612, Loss  0.575746, Average Loss  0.585834, Time  0.258267
2021-09-09 23:24:28.358102 : Epoch  7, Batch   3139, Loss  0.865519, Average Loss  0.869273, Time  0.357070
2021-09-09 23:24:28.594242 : Epoch  3, Batch    613, Loss  0.595156, Average Loss  0.585841, Time  0.258062
2021-09-09 23:24:30.221324 : Epoch  7, Batch   3140, Loss  0.847949, Average Loss  0.869114, Time  0.424970
2021-09-09 23:24:30.495165 : Epoch  3, Batch    614, Loss  0.582735, Average Loss  0.585797, Time  0.258418
2021-09-09 23:24:31.985787 : Epoch  7, Batch   3141, Loss  0.866866, Average Loss  0.869109, Time  0.358973
2021-09-09 23:24:32.370872 : Epoch  3, Batch    615, Loss  0.588725, Average Loss  0.585772, Time  0.260350
2021-09-09 23:24:33.826797 : Epoch  7, Batch   3142, Loss  0.858075, Average Loss  0.869172, Time  0.416226
2021-09-09 23:24:34.245116 : Epoch  3, Batch    616, Loss  0.569330, Average Loss  0.585690, Time  0.258266
2021-09-09 23:24:35.635727 : Epoch  7, Batch   3143, Loss  0.876747, Average Loss  0.869315, Time  0.379607
2021-09-09 23:24:36.140020 : Epoch  3, Batch    617, Loss  0.582703, Average Loss  0.585590, Time  0.260251
2021-09-09 23:24:37.489913 : Epoch  7, Batch   3144, Loss  0.869390, Average Loss  0.869258, Time  0.413090
2021-09-09 23:24:38.048200 : Epoch  3, Batch    618, Loss  0.564975, Average Loss  0.585502, Time  0.259214
2021-09-09 23:24:39.279786 : Epoch  7, Batch   3145, Loss  0.860286, Average Loss  0.869314, Time  0.357338
2021-09-09 23:24:39.986808 : Epoch  3, Batch    619, Loss  0.577324, Average Loss  0.585406, Time  0.258724
2021-09-09 23:24:41.176083 : Epoch  7, Batch   3146, Loss  0.889708, Average Loss  0.869467, Time  0.394546
2021-09-09 23:24:41.918809 : Epoch  3, Batch    620, Loss  0.590547, Average Loss  0.585420, Time  0.257764
2021-09-09 23:24:43.070770 : Epoch  7, Batch   3147, Loss  0.874311, Average Loss  0.869350, Time  0.376649
2021-09-09 23:24:43.832815 : Epoch  3, Batch    621, Loss  0.575282, Average Loss  0.585345, Time  0.258921
2021-09-09 23:24:44.871936 : Epoch  7, Batch   3148, Loss  0.874716, Average Loss  0.869406, Time  0.354289
2021-09-09 23:24:45.737782 : Epoch  3, Batch    622, Loss  0.581634, Average Loss  0.585292, Time  0.258368
2021-09-09 23:24:46.662795 : Epoch  7, Batch   3149, Loss  0.865170, Average Loss  0.869360, Time  0.359332
2021-09-09 23:24:47.649789 : Epoch  3, Batch    623, Loss  0.575567, Average Loss  0.585218, Time  0.258233
2021-09-09 23:24:48.478765 : Epoch  7, Batch   3150, Loss  0.840968, Average Loss  0.869290, Time  0.369490
2021-09-09 23:24:49.554807 : Epoch  3, Batch    624, Loss  0.581317, Average Loss  0.585170, Time  0.258466
2021-09-09 23:24:50.263826 : Epoch  7, Batch   3151, Loss  0.869838, Average Loss  0.869176, Time  0.359189
2021-09-09 23:24:51.428874 : Epoch  3, Batch    625, Loss  0.587707, Average Loss  0.585155, Time  0.258602
2021-09-09 23:24:52.072199 : Epoch  7, Batch   3152, Loss  0.874339, Average Loss  0.869203, Time  0.366432
2021-09-09 23:24:53.305824 : Epoch  3, Batch    626, Loss  0.587800, Average Loss  0.585165, Time  0.258208
2021-09-09 23:24:53.932118 : Epoch  7, Batch   3153, Loss  0.877896, Average Loss  0.869319, Time  0.364549
2021-09-09 23:24:55.743874 : Epoch  7, Batch   3154, Loss  0.858592, Average Loss  0.869176, Time  0.356887
2021-09-09 23:24:57.530801 : Epoch  7, Batch   3155, Loss  0.901000, Average Loss  0.869326, Time  0.367539
2021-09-09 23:24:59.321768 : Epoch  7, Batch   3156, Loss  0.851338, Average Loss  0.869380, Time  0.366625
2021-09-09 23:25:01.134904 : Epoch  7, Batch   3157, Loss  0.871637, Average Loss  0.869401, Time  0.360038
2021-09-09 23:25:02.932596 : Epoch  7, Batch   3158, Loss  0.865550, Average Loss  0.869487, Time  0.370672
2021-09-09 23:25:04.727835 : Epoch  7, Batch   3159, Loss  0.881894, Average Loss  0.869541, Time  0.368511
2021-09-09 23:25:06.523774 : Epoch  7, Batch   3160, Loss  0.896798, Average Loss  0.869585, Time  0.368221
2021-09-09 23:25:08.339826 : Epoch  7, Batch   3161, Loss  0.855914, Average Loss  0.869609, Time  0.374808
2021-09-09 23:25:10.157055 : Epoch  7, Batch   3162, Loss  0.897169, Average Loss  0.869673, Time  0.358520
2021-09-09 23:25:11.976795 : Epoch  7, Batch   3163, Loss  0.874060, Average Loss  0.869509, Time  0.372340
2021-09-09 23:25:13.803286 : Epoch  7, Batch   3164, Loss  0.852157, Average Loss  0.869342, Time  0.371518
2021-09-09 23:25:15.628775 : Epoch  7, Batch   3165, Loss  0.847077, Average Loss  0.869222, Time  0.365806
2021-09-09 23:25:17.427170 : Epoch  7, Batch   3166, Loss  0.849263, Average Loss  0.869132, Time  0.362012
2021-09-09 23:25:19.225873 : Epoch  7, Batch   3167, Loss  0.873769, Average Loss  0.869182, Time  0.371050
2021-09-09 23:25:21.038785 : Epoch  7, Batch   3168, Loss  0.876098, Average Loss  0.869283, Time  0.367857
2021-09-09 23:25:22.840783 : Epoch  7, Batch   3169, Loss  0.869632, Average Loss  0.869242, Time  0.372337
2021-09-09 23:25:24.655785 : Epoch  7, Batch   3170, Loss  0.837622, Average Loss  0.869290, Time  0.375747
2021-09-09 23:25:26.458783 : Epoch  7, Batch   3171, Loss  0.865995, Average Loss  0.869248, Time  0.364901
2021-09-09 23:25:28.276794 : Epoch  7, Batch   3172, Loss  0.868134, Average Loss  0.869284, Time  0.364097
2021-09-09 23:25:30.070789 : Epoch  7, Batch   3173, Loss  0.872579, Average Loss  0.869334, Time  0.365007
2021-09-09 23:25:31.886791 : Epoch  7, Batch   3174, Loss  0.865490, Average Loss  0.869420, Time  0.372190
2021-09-09 23:25:33.681780 : Epoch  7, Batch   3175, Loss  0.881789, Average Loss  0.869436, Time  0.360488
2021-09-09 23:25:35.494777 : Epoch  7, Batch   3176, Loss  0.864256, Average Loss  0.869404, Time  0.384823
2021-09-09 23:25:37.279766 : Epoch  7, Batch   3177, Loss  0.860280, Average Loss  0.869368, Time  0.358411
2021-09-09 23:25:39.075784 : Epoch  7, Batch   3178, Loss  0.852548, Average Loss  0.869337, Time  0.372902
2021-09-09 23:25:40.878767 : Epoch  7, Batch   3179, Loss  0.851117, Average Loss  0.869310, Time  0.356611
2021-09-09 23:25:42.690789 : Epoch  7, Batch   3180, Loss  0.856035, Average Loss  0.869254, Time  0.388120
2021-09-09 23:25:44.512773 : Epoch  7, Batch   3181, Loss  0.866998, Average Loss  0.869112, Time  0.358897
2021-09-09 23:25:46.317779 : Epoch  7, Batch   3182, Loss  0.885504, Average Loss  0.869098, Time  0.360610
2021-09-09 23:25:48.097128 : Epoch  7, Batch   3183, Loss  0.884486, Average Loss  0.869071, Time  0.359295
2021-09-09 23:25:49.895775 : Epoch  7, Batch   3184, Loss  0.864732, Average Loss  0.869069, Time  0.374027
2021-09-09 23:25:51.687864 : Epoch  7, Batch   3185, Loss  0.908808, Average Loss  0.869313, Time  0.374038
2021-09-09 23:25:53.510943 : Epoch  7, Batch   3186, Loss  0.903133, Average Loss  0.869399, Time  0.371782
2021-09-09 23:25:55.337823 : Epoch  7, Batch   3187, Loss  0.885527, Average Loss  0.869481, Time  0.368969
2021-09-09 23:25:57.131272 : Epoch  7, Batch   3188, Loss  0.877675, Average Loss  0.869477, Time  0.359617
2021-09-09 23:25:58.914787 : Epoch  7, Batch   3189, Loss  0.828045, Average Loss  0.869247, Time  0.358279
2021-09-09 23:26:00.719809 : Epoch  7, Batch   3190, Loss  0.868729, Average Loss  0.869218, Time  0.373098
2021-09-09 23:26:02.509793 : Epoch  7, Batch   3191, Loss  0.879361, Average Loss  0.869313, Time  0.361771
2021-09-09 23:26:02.873745 : CheckPoint: Validation Loss  0.00023105, Best Loss  0.00023105
2021-09-09 23:26:02.957623 : Best Model Updated
2021-09-09 23:26:04.301787 : Epoch  7, Batch   3192, Loss  0.876624, Average Loss  0.869450, Time  0.364804
2021-09-09 23:26:05.947950 : Epoch  3, Batch    627, Loss  0.581210, Average Loss  0.585093, Time  0.266037
2021-09-09 23:26:06.125867 : Epoch  7, Batch   3193, Loss  0.868396, Average Loss  0.869460, Time  0.359585
2021-09-09 23:26:07.867061 : Epoch  3, Batch    628, Loss  0.574350, Average Loss  0.585038, Time  0.265117
2021-09-09 23:26:07.951786 : Epoch  7, Batch   3194, Loss  0.848007, Average Loss  0.869477, Time  0.364418
2021-09-09 23:26:09.741783 : Epoch  7, Batch   3195, Loss  0.885980, Average Loss  0.869586, Time  0.360835
2021-09-09 23:26:09.788819 : Epoch  3, Batch    629, Loss  0.582829, Average Loss  0.584947, Time  0.258183
2021-09-09 23:26:11.536936 : Epoch  7, Batch   3196, Loss  0.892657, Average Loss  0.869735, Time  0.360927
2021-09-09 23:26:11.707778 : Epoch  3, Batch    630, Loss  0.597431, Average Loss  0.585041, Time  0.263130
2021-09-09 23:26:13.325770 : Epoch  7, Batch   3197, Loss  0.836772, Average Loss  0.869539, Time  0.357514
2021-09-09 23:26:13.601924 : Epoch  3, Batch    631, Loss  0.576179, Average Loss  0.585029, Time  0.260195
2021-09-09 23:26:15.140846 : Epoch  7, Batch   3198, Loss  0.867352, Average Loss  0.869476, Time  0.363533
2021-09-09 23:26:15.475079 : Epoch  3, Batch    632, Loss  0.578144, Average Loss  0.584968, Time  0.261704
2021-09-09 23:26:16.941843 : Epoch  7, Batch   3199, Loss  0.837163, Average Loss  0.869278, Time  0.360478
2021-09-09 23:26:17.365796 : Epoch  3, Batch    633, Loss  0.578721, Average Loss  0.584815, Time  0.267596
2021-09-09 23:26:18.766780 : Epoch  7, Batch   3200, Loss  0.864208, Average Loss  0.869402, Time  0.383859
2021-09-09 23:26:19.252779 : Epoch  3, Batch    634, Loss  0.574311, Average Loss  0.584705, Time  0.263531
2021-09-09 23:26:20.574825 : Epoch  7, Batch   3201, Loss  0.850932, Average Loss  0.869221, Time  0.358952
2021-09-09 23:26:21.153811 : Epoch  3, Batch    635, Loss  0.578874, Average Loss  0.584702, Time  0.264375
2021-09-09 23:26:22.378790 : Epoch  7, Batch   3202, Loss  0.883472, Average Loss  0.869299, Time  0.358208
2021-09-09 23:26:23.025071 : Epoch  3, Batch    636, Loss  0.566862, Average Loss  0.584576, Time  0.262002
2021-09-09 23:26:24.185788 : Epoch  7, Batch   3203, Loss  0.876649, Average Loss  0.869216, Time  0.357410
2021-09-09 23:26:24.925871 : Epoch  3, Batch    637, Loss  0.583480, Average Loss  0.584564, Time  0.266120
2021-09-09 23:26:25.992789 : Epoch  7, Batch   3204, Loss  0.882296, Average Loss  0.869139, Time  0.363894
2021-09-09 23:26:26.819037 : Epoch  3, Batch    638, Loss  0.575481, Average Loss  0.584483, Time  0.262089
2021-09-09 23:26:27.809768 : Epoch  7, Batch   3205, Loss  0.889102, Average Loss  0.869299, Time  0.357301
2021-09-09 23:26:28.683943 : Epoch  3, Batch    639, Loss  0.582899, Average Loss  0.584453, Time  0.259532
2021-09-09 23:26:29.635767 : Epoch  7, Batch   3206, Loss  0.892746, Average Loss  0.869515, Time  0.361987
2021-09-09 23:26:30.559801 : Epoch  3, Batch    640, Loss  0.579102, Average Loss  0.584416, Time  0.261897
2021-09-09 23:26:31.468787 : Epoch  7, Batch   3207, Loss  0.862623, Average Loss  0.869405, Time  0.357033
2021-09-09 23:26:32.464103 : Epoch  3, Batch    641, Loss  0.575782, Average Loss  0.584396, Time  0.262121
2021-09-09 23:26:33.293256 : Epoch  7, Batch   3208, Loss  0.863755, Average Loss  0.869565, Time  0.354363
2021-09-09 23:26:34.357881 : Epoch  3, Batch    642, Loss  0.578156, Average Loss  0.584313, Time  0.260187
2021-09-09 23:26:35.111783 : Epoch  7, Batch   3209, Loss  0.859076, Average Loss  0.869364, Time  0.360394
2021-09-09 23:26:36.275061 : Epoch  3, Batch    643, Loss  0.569190, Average Loss  0.584237, Time  0.257913
2021-09-09 23:26:36.923781 : Epoch  7, Batch   3210, Loss  0.884697, Average Loss  0.869647, Time  0.374308
2021-09-09 23:26:38.182050 : Epoch  3, Batch    644, Loss  0.576989, Average Loss  0.584158, Time  0.260512
2021-09-09 23:26:38.719121 : Epoch  7, Batch   3211, Loss  0.866741, Average Loss  0.869746, Time  0.359039
2021-09-09 23:26:40.107046 : Epoch  3, Batch    645, Loss  0.578111, Average Loss  0.584155, Time  0.257790
2021-09-09 23:26:40.518932 : Epoch  7, Batch   3212, Loss  0.882533, Average Loss  0.869725, Time  0.364760
2021-09-09 23:26:42.013184 : Epoch  3, Batch    646, Loss  0.572055, Average Loss  0.584121, Time  0.258122
2021-09-09 23:26:42.300764 : Epoch  7, Batch   3213, Loss  0.884552, Average Loss  0.869840, Time  0.361382
2021-09-09 23:26:43.898075 : Epoch  3, Batch    647, Loss  0.585291, Average Loss  0.584165, Time  0.258159
2021-09-09 23:26:44.100766 : Epoch  7, Batch   3214, Loss  0.858603, Average Loss  0.869876, Time  0.370937
2021-09-09 23:26:45.839864 : Epoch  3, Batch    648, Loss  0.578672, Average Loss  0.584128, Time  0.268018
2021-09-09 23:26:45.898749 : Epoch  7, Batch   3215, Loss  0.848724, Average Loss  0.869664, Time  0.368532
2021-09-09 23:26:47.694771 : Epoch  7, Batch   3216, Loss  0.865886, Average Loss  0.869793, Time  0.366668
2021-09-09 23:26:47.740181 : Epoch  3, Batch    649, Loss  0.582144, Average Loss  0.584113, Time  0.260676
2021-09-09 23:26:49.600830 : Epoch  7, Batch   3217, Loss  0.845392, Average Loss  0.869735, Time  0.371199
2021-09-09 23:26:49.811898 : Epoch  3, Batch    650, Loss  0.579943, Average Loss  0.584048, Time  0.266595
2021-09-09 23:26:51.418787 : Epoch  7, Batch   3218, Loss  0.917318, Average Loss  0.869769, Time  0.375121
2021-09-09 23:26:51.714809 : Epoch  3, Batch    651, Loss  0.573378, Average Loss  0.584010, Time  0.259115
2021-09-09 23:26:53.207771 : Epoch  7, Batch   3219, Loss  0.841609, Average Loss  0.869636, Time  0.362592
2021-09-09 23:26:53.607935 : Epoch  3, Batch    652, Loss  0.571305, Average Loss  0.583946, Time  0.258185
2021-09-09 23:26:55.001768 : Epoch  7, Batch   3220, Loss  0.890781, Average Loss  0.869652, Time  0.364756
2021-09-09 23:26:55.484822 : Epoch  3, Batch    653, Loss  0.581019, Average Loss  0.583912, Time  0.258076
2021-09-09 23:26:56.813786 : Epoch  7, Batch   3221, Loss  0.848900, Average Loss  0.869494, Time  0.361069
2021-09-09 23:26:57.379864 : Epoch  3, Batch    654, Loss  0.584855, Average Loss  0.583919, Time  0.257989
2021-09-09 23:26:58.644792 : Epoch  7, Batch   3222, Loss  0.880332, Average Loss  0.869494, Time  0.383717
2021-09-09 23:26:59.274833 : Epoch  3, Batch    655, Loss  0.585411, Average Loss  0.583908, Time  0.258016
2021-09-09 23:27:00.501783 : Epoch  7, Batch   3223, Loss  0.885706, Average Loss  0.869538, Time  0.366423
2021-09-09 23:27:01.177794 : Epoch  3, Batch    656, Loss  0.586629, Average Loss  0.583892, Time  0.258103
2021-09-09 23:27:02.312895 : Epoch  7, Batch   3224, Loss  0.879204, Average Loss  0.869543, Time  0.362246
2021-09-09 23:27:03.070868 : Epoch  3, Batch    657, Loss  0.580791, Average Loss  0.583826, Time  0.258007
2021-09-09 23:27:04.117820 : Epoch  7, Batch   3225, Loss  0.841532, Average Loss  0.869475, Time  0.360305
2021-09-09 23:27:04.967833 : Epoch  3, Batch    658, Loss  0.583294, Average Loss  0.583821, Time  0.257829
2021-09-09 23:27:05.909782 : Epoch  7, Batch   3226, Loss  0.820610, Average Loss  0.869285, Time  0.361936
2021-09-09 23:27:06.875941 : Epoch  3, Batch    659, Loss  0.583576, Average Loss  0.583765, Time  0.258058
2021-09-09 23:27:07.724795 : Epoch  7, Batch   3227, Loss  0.875476, Average Loss  0.869410, Time  0.374595
2021-09-09 23:27:08.773796 : Epoch  3, Batch    660, Loss  0.574685, Average Loss  0.583683, Time  0.257742
2021-09-09 23:27:09.502784 : Epoch  7, Batch   3228, Loss  0.869290, Average Loss  0.869461, Time  0.364300
2021-09-09 23:27:10.683820 : Epoch  3, Batch    661, Loss  0.579583, Average Loss  0.583624, Time  0.258288
2021-09-09 23:27:11.342790 : Epoch  7, Batch   3229, Loss  0.881398, Average Loss  0.869534, Time  0.379788
2021-09-09 23:27:12.584057 : Epoch  3, Batch    662, Loss  0.575096, Average Loss  0.583606, Time  0.258016
2021-09-09 23:27:13.154812 : Epoch  7, Batch   3230, Loss  0.869405, Average Loss  0.869518, Time  0.376475
2021-09-09 23:27:14.488775 : Epoch  3, Batch    663, Loss  0.593401, Average Loss  0.583604, Time  0.258049
2021-09-09 23:27:14.969977 : Epoch  7, Batch   3231, Loss  0.888485, Average Loss  0.869520, Time  0.369117
2021-09-09 23:27:16.407047 : Epoch  3, Batch    664, Loss  0.580288, Average Loss  0.583564, Time  0.257918
2021-09-09 23:27:16.787766 : Epoch  7, Batch   3232, Loss  0.862473, Average Loss  0.869430, Time  0.371541
2021-09-09 23:27:18.317187 : Epoch  3, Batch    665, Loss  0.576731, Average Loss  0.583496, Time  0.258222
2021-09-09 23:27:18.565217 : Epoch  7, Batch   3233, Loss  0.878485, Average Loss  0.869311, Time  0.364965
2021-09-09 23:27:20.220822 : Epoch  3, Batch    666, Loss  0.578529, Average Loss  0.583448, Time  0.258418
2021-09-09 23:27:20.334742 : Epoch  7, Batch   3234, Loss  0.894970, Average Loss  0.869412, Time  0.376656
2021-09-09 23:27:22.139273 : Epoch  3, Batch    667, Loss  0.575150, Average Loss  0.583358, Time  0.261632
2021-09-09 23:27:24.093995 : Epoch  3, Batch    668, Loss  0.582348, Average Loss  0.583327, Time  0.262154
2021-09-09 23:27:26.006809 : Epoch  3, Batch    669, Loss  0.570859, Average Loss  0.583274, Time  0.259985
2021-09-09 23:27:27.875106 : Epoch  3, Batch    670, Loss  0.580634, Average Loss  0.583233, Time  0.258679
2021-09-09 23:27:29.776908 : Epoch  3, Batch    671, Loss  0.572824, Average Loss  0.583173, Time  0.259459
2021-09-09 23:27:31.682820 : Epoch  3, Batch    672, Loss  0.587747, Average Loss  0.583167, Time  0.257979
2021-09-09 23:27:33.605774 : Epoch  3, Batch    673, Loss  0.580192, Average Loss  0.583060, Time  0.258272
2021-09-09 23:27:35.520934 : Epoch  3, Batch    674, Loss  0.578256, Average Loss  0.582943, Time  0.257853
2021-09-09 23:27:37.425769 : Epoch  3, Batch    675, Loss  0.576015, Average Loss  0.582866, Time  0.258554
2021-09-09 23:27:39.320058 : Epoch  3, Batch    676, Loss  0.581244, Average Loss  0.582834, Time  0.258114
2021-09-09 23:27:41.213784 : Epoch  3, Batch    677, Loss  0.588440, Average Loss  0.582804, Time  0.257988
2021-09-09 23:27:43.128794 : Epoch  3, Batch    678, Loss  0.579831, Average Loss  0.582756, Time  0.258256
2021-09-09 23:27:45.057818 : Epoch  3, Batch    679, Loss  0.569358, Average Loss  0.582700, Time  0.257811
2021-09-09 23:27:46.999056 : Epoch  3, Batch    680, Loss  0.575529, Average Loss  0.582698, Time  0.258298
2021-09-09 23:27:48.887777 : Epoch  3, Batch    681, Loss  0.578883, Average Loss  0.582616, Time  0.258167
2021-09-09 23:27:50.796883 : Epoch  3, Batch    682, Loss  0.578934, Average Loss  0.582575, Time  0.257985
2021-09-09 23:27:52.715068 : Epoch  3, Batch    683, Loss  0.574278, Average Loss  0.582498, Time  0.258083
2021-09-09 23:27:54.621837 : Epoch  3, Batch    684, Loss  0.585964, Average Loss  0.582531, Time  0.257828
2021-09-09 23:27:56.549800 : Epoch  3, Batch    685, Loss  0.582811, Average Loss  0.582504, Time  0.257886
2021-09-09 23:27:58.457778 : Epoch  3, Batch    686, Loss  0.587338, Average Loss  0.582478, Time  0.257866
2021-09-09 23:28:00.360778 : Epoch  3, Batch    687, Loss  0.584407, Average Loss  0.582497, Time  0.258280
2021-09-09 23:28:02.279856 : Epoch  3, Batch    688, Loss  0.559874, Average Loss  0.582295, Time  0.258243
2021-09-09 23:28:04.187061 : Epoch  3, Batch    689, Loss  0.570634, Average Loss  0.582169, Time  0.257524
2021-09-09 23:28:06.100872 : Epoch  3, Batch    690, Loss  0.578433, Average Loss  0.582163, Time  0.257739
2021-09-09 23:28:08.002790 : Epoch  3, Batch    691, Loss  0.587459, Average Loss  0.582142, Time  0.258244
2021-09-09 23:28:09.911802 : Epoch  3, Batch    692, Loss  0.579331, Average Loss  0.582104, Time  0.258093
2021-09-09 23:28:11.831797 : Epoch  3, Batch    693, Loss  0.588351, Average Loss  0.582126, Time  0.260143
2021-09-09 23:28:13.737995 : Epoch  3, Batch    694, Loss  0.581690, Average Loss  0.582061, Time  0.258601
2021-09-09 23:28:15.661066 : Epoch  3, Batch    695, Loss  0.575763, Average Loss  0.582022, Time  0.257648
2021-09-09 23:28:17.575797 : Epoch  3, Batch    696, Loss  0.595386, Average Loss  0.582017, Time  0.257998
2021-09-09 23:28:21.612821 : Epoch  3, Batch    697, Loss  0.573522, Average Loss  0.581926, Time  0.271133
2021-09-09 23:28:23.533082 : Epoch  3, Batch    698, Loss  0.592249, Average Loss  0.581993, Time  0.259233
2021-09-09 23:28:25.474082 : Epoch  3, Batch    699, Loss  0.578161, Average Loss  0.581956, Time  0.258227
2021-09-09 23:28:27.383881 : Epoch  3, Batch    700, Loss  0.574082, Average Loss  0.581896, Time  0.257958
2021-09-09 23:28:29.278048 : Epoch  3, Batch    701, Loss  0.575866, Average Loss  0.581868, Time  0.257803
2021-09-09 23:28:31.198007 : Epoch  3, Batch    702, Loss  0.594277, Average Loss  0.581977, Time  0.258335
2021-09-09 23:28:33.099832 : Epoch  3, Batch    703, Loss  0.597140, Average Loss  0.582013, Time  0.257826
2021-09-09 23:28:34.994851 : Epoch  3, Batch    704, Loss  0.583527, Average Loss  0.581911, Time  0.258380
2021-09-09 23:28:36.881280 : Epoch  3, Batch    705, Loss  0.583406, Average Loss  0.581910, Time  0.258214
2021-09-09 23:28:38.782881 : Epoch  3, Batch    706, Loss  0.581607, Average Loss  0.581888, Time  0.257577
2021-09-09 23:28:40.693787 : Epoch  3, Batch    707, Loss  0.576206, Average Loss  0.581789, Time  0.258093
2021-09-09 23:28:42.599925 : Epoch  3, Batch    708, Loss  0.587596, Average Loss  0.581820, Time  0.258016
2021-09-09 23:28:44.482815 : Epoch  3, Batch    709, Loss  0.575517, Average Loss  0.581758, Time  0.258152
2021-09-09 23:28:46.392069 : Epoch  3, Batch    710, Loss  0.571985, Average Loss  0.581701, Time  0.257927
2021-09-09 23:28:48.359857 : Epoch  3, Batch    711, Loss  0.575337, Average Loss  0.581660, Time  0.258132
2021-09-09 23:28:50.261067 : Epoch  3, Batch    712, Loss  0.576124, Average Loss  0.581636, Time  0.257798
2021-09-09 23:28:52.170864 : Epoch  3, Batch    713, Loss  0.579589, Average Loss  0.581585, Time  0.258317
2021-09-09 23:28:54.072821 : Epoch  3, Batch    714, Loss  0.587372, Average Loss  0.581595, Time  0.258039
2021-09-09 23:28:55.978992 : Epoch  3, Batch    715, Loss  0.588822, Average Loss  0.581574, Time  0.258242
2021-09-09 23:28:57.896949 : Epoch  3, Batch    716, Loss  0.567877, Average Loss  0.581460, Time  0.261652
2021-09-09 23:28:59.794075 : Epoch  3, Batch    717, Loss  0.569521, Average Loss  0.581294, Time  0.266195
2021-09-09 23:29:01.679765 : Epoch  3, Batch    718, Loss  0.584043, Average Loss  0.581274, Time  0.267078
2021-09-09 23:29:03.607873 : Epoch  3, Batch    719, Loss  0.575122, Average Loss  0.581150, Time  0.266937
2021-09-09 23:29:05.518788 : Epoch  3, Batch    720, Loss  0.580634, Average Loss  0.581133, Time  0.267575
2021-09-09 23:29:07.415900 : Epoch  3, Batch    721, Loss  0.589971, Average Loss  0.581166, Time  0.257955
2021-09-09 23:29:09.334944 : Epoch  3, Batch    722, Loss  0.583074, Average Loss  0.581183, Time  0.260406
2021-09-09 23:29:11.257824 : Epoch  3, Batch    723, Loss  0.587274, Average Loss  0.581146, Time  0.257915
2021-09-09 23:29:13.169784 : Epoch  3, Batch    724, Loss  0.578465, Average Loss  0.581169, Time  0.258020
2021-09-09 23:29:15.084911 : Epoch  3, Batch    725, Loss  0.569973, Average Loss  0.581145, Time  0.258454
2021-09-09 23:29:17.002808 : Epoch  3, Batch    726, Loss  0.580841, Average Loss  0.581080, Time  0.257808
2021-09-09 23:30:26.657739 : CheckPoint: Validation Loss  0.00023897, Best Loss  0.00023105
2021-09-09 23:30:28.565879 : Epoch  3, Batch    727, Loss  0.575437, Average Loss  0.581011, Time  0.264307
2021-09-09 23:30:30.486895 : Epoch  3, Batch    728, Loss  0.573612, Average Loss  0.580914, Time  0.257876
2021-09-09 23:30:32.411818 : Epoch  3, Batch    729, Loss  0.580125, Average Loss  0.580894, Time  0.258240
2021-09-09 23:30:34.341843 : Epoch  3, Batch    730, Loss  0.571797, Average Loss  0.580862, Time  0.257971
2021-09-09 23:30:36.270045 : Epoch  3, Batch    731, Loss  0.572937, Average Loss  0.580773, Time  0.257888
2021-09-09 23:30:38.194063 : Epoch  3, Batch    732, Loss  0.570725, Average Loss  0.580681, Time  0.258537
2021-09-09 23:30:40.114832 : Epoch  3, Batch    733, Loss  0.570436, Average Loss  0.580605, Time  0.258098
2021-09-09 23:30:42.029948 : Epoch  3, Batch    734, Loss  0.571292, Average Loss  0.580574, Time  0.258054
2021-09-09 23:30:43.947811 : Epoch  3, Batch    735, Loss  0.569992, Average Loss  0.580511, Time  0.257924
2021-09-09 23:30:45.832087 : Epoch  3, Batch    736, Loss  0.590445, Average Loss  0.580497, Time  0.260324
2021-09-09 23:30:47.709870 : Epoch  3, Batch    737, Loss  0.573735, Average Loss  0.580503, Time  0.258153
2021-09-09 23:30:49.604779 : Epoch  3, Batch    738, Loss  0.570303, Average Loss  0.580422, Time  0.261423
2021-09-09 23:30:51.511831 : Epoch  3, Batch    739, Loss  0.574611, Average Loss  0.580341, Time  0.265625
2021-09-09 23:30:53.388802 : Epoch  3, Batch    740, Loss  0.564067, Average Loss  0.580303, Time  0.266510
2021-09-09 23:30:55.285084 : Epoch  3, Batch    741, Loss  0.576615, Average Loss  0.580267, Time  0.258474
2021-09-09 23:30:57.180791 : Epoch  3, Batch    742, Loss  0.572887, Average Loss  0.580229, Time  0.257933
2021-09-09 23:30:59.107915 : Epoch  3, Batch    743, Loss  0.579725, Average Loss  0.580246, Time  0.258137
2021-09-09 23:31:01.013129 : Epoch  3, Batch    744, Loss  0.569223, Average Loss  0.580165, Time  0.258859
2021-09-09 23:31:02.893771 : Epoch  3, Batch    745, Loss  0.579990, Average Loss  0.580170, Time  0.265371
2021-09-09 23:31:04.795785 : Epoch  3, Batch    746, Loss  0.568899, Average Loss  0.580078, Time  0.260135
2021-09-09 23:31:06.704908 : Epoch  3, Batch    747, Loss  0.577575, Average Loss  0.580060, Time  0.266847
2021-09-09 23:31:08.636087 : Epoch  3, Batch    748, Loss  0.587949, Average Loss  0.580106, Time  0.264462
2021-09-09 23:31:10.547810 : Epoch  3, Batch    749, Loss  0.568576, Average Loss  0.580025, Time  0.258755
2021-09-09 23:31:12.460847 : Epoch  3, Batch    750, Loss  0.578681, Average Loss  0.579972, Time  0.258041
2021-09-09 23:31:14.364934 : Epoch  3, Batch    751, Loss  0.570415, Average Loss  0.579914, Time  0.258236
2021-09-09 23:31:16.248798 : Epoch  3, Batch    752, Loss  0.581053, Average Loss  0.579891, Time  0.268536
2021-09-09 23:31:18.176833 : Epoch  3, Batch    753, Loss  0.581691, Average Loss  0.579872, Time  0.277447
2021-09-09 23:31:20.078804 : Epoch  3, Batch    754, Loss  0.574838, Average Loss  0.579912, Time  0.258409
2021-09-09 23:31:21.996818 : Epoch  3, Batch    755, Loss  0.564446, Average Loss  0.579752, Time  0.257929
2021-09-09 23:31:23.910114 : Epoch  3, Batch    756, Loss  0.573643, Average Loss  0.579726, Time  0.258036
2021-09-09 23:31:25.824832 : Epoch  3, Batch    757, Loss  0.569414, Average Loss  0.579686, Time  0.257877
2021-09-09 23:31:27.793786 : Epoch  3, Batch    758, Loss  0.572894, Average Loss  0.579603, Time  0.258224
2021-09-09 23:31:29.709933 : Epoch  3, Batch    759, Loss  0.580621, Average Loss  0.579594, Time  0.258606
2021-09-09 23:31:31.613061 : Epoch  3, Batch    760, Loss  0.581206, Average Loss  0.579565, Time  0.258015
2021-09-09 23:31:33.538929 : Epoch  3, Batch    761, Loss  0.578009, Average Loss  0.579581, Time  0.257636
2021-09-09 23:31:35.467933 : Epoch  3, Batch    762, Loss  0.578991, Average Loss  0.579615, Time  0.258266
2021-09-09 23:31:37.382070 : Epoch  3, Batch    763, Loss  0.569040, Average Loss  0.579548, Time  0.257855
2021-09-09 23:31:39.302070 : Epoch  3, Batch    764, Loss  0.571760, Average Loss  0.579525, Time  0.257964
2021-09-09 23:31:41.216073 : Epoch  3, Batch    765, Loss  0.574044, Average Loss  0.579402, Time  0.257630
2021-09-09 23:31:43.134773 : Epoch  3, Batch    766, Loss  0.577023, Average Loss  0.579428, Time  0.258113
2021-09-09 23:31:45.038856 : Epoch  3, Batch    767, Loss  0.578866, Average Loss  0.579408, Time  0.258126
2021-09-09 23:31:46.950824 : Epoch  3, Batch    768, Loss  0.580000, Average Loss  0.579395, Time  0.257753
2021-09-09 23:31:48.873781 : Epoch  3, Batch    769, Loss  0.576715, Average Loss  0.579346, Time  0.258274
2021-09-09 23:31:50.773793 : Epoch  3, Batch    770, Loss  0.580868, Average Loss  0.579428, Time  0.258375
2021-09-09 23:31:52.678917 : Epoch  3, Batch    771, Loss  0.567334, Average Loss  0.579369, Time  0.257931
2021-09-09 23:31:54.588063 : Epoch  3, Batch    772, Loss  0.583397, Average Loss  0.579397, Time  0.257692
2021-09-09 23:31:56.487905 : Epoch  3, Batch    773, Loss  0.575614, Average Loss  0.579386, Time  0.257720
2021-09-09 23:31:58.390102 : Epoch  3, Batch    774, Loss  0.572312, Average Loss  0.579375, Time  0.258258
2021-09-09 23:32:00.305080 : Epoch  3, Batch    775, Loss  0.566774, Average Loss  0.579299, Time  0.258300
2021-09-09 23:32:02.207071 : Epoch  3, Batch    776, Loss  0.581449, Average Loss  0.579289, Time  0.258324
2021-09-09 23:32:04.108917 : Epoch  3, Batch    777, Loss  0.560332, Average Loss  0.579168, Time  0.258055
2021-09-09 23:32:06.015098 : Epoch  3, Batch    778, Loss  0.569327, Average Loss  0.579045, Time  0.258060
2021-09-09 23:32:07.912760 : Epoch  3, Batch    779, Loss  0.569100, Average Loss  0.578925, Time  0.257740
2021-09-09 23:32:09.332477 : CheckPoint: Validation Loss  0.00059987, Best Loss  0.00056427
2021-09-09 23:32:09.815801 : Epoch  3, Batch    780, Loss  0.571212, Average Loss  0.578848, Time  0.258013
2021-09-09 23:32:11.118917 : Epoch  7, Batch   3235, Loss  0.861225, Average Loss  0.869448, Time  0.358001
2021-09-09 23:32:11.716783 : Epoch  3, Batch    781, Loss  0.566247, Average Loss  0.578781, Time  0.257922
2021-09-09 23:32:12.904604 : Epoch  7, Batch   3236, Loss  0.864349, Average Loss  0.869440, Time  0.377772
2021-09-09 23:32:13.628062 : Epoch  3, Batch    782, Loss  0.566438, Average Loss  0.578676, Time  0.258057
2021-09-09 23:32:14.694788 : Epoch  7, Batch   3237, Loss  0.875291, Average Loss  0.869414, Time  0.358054
2021-09-09 23:32:15.528784 : Epoch  3, Batch    783, Loss  0.577677, Average Loss  0.578656, Time  0.258099
2021-09-09 23:32:16.514774 : Epoch  7, Batch   3238, Loss  0.877966, Average Loss  0.869364, Time  0.370349
2021-09-09 23:32:17.427811 : Epoch  3, Batch    784, Loss  0.578622, Average Loss  0.578591, Time  0.258445
2021-09-09 23:32:18.293781 : Epoch  7, Batch   3239, Loss  0.856365, Average Loss  0.869174, Time  0.363484
2021-09-09 23:32:19.327771 : Epoch  3, Batch    785, Loss  0.583895, Average Loss  0.578607, Time  0.257946
2021-09-09 23:32:20.109780 : Epoch  7, Batch   3240, Loss  0.881613, Average Loss  0.869075, Time  0.369868
2021-09-09 23:32:21.229058 : Epoch  3, Batch    786, Loss  0.573135, Average Loss  0.578569, Time  0.257785
2021-09-09 23:32:21.885868 : Epoch  7, Batch   3241, Loss  0.858916, Average Loss  0.869048, Time  0.364853
2021-09-09 23:32:23.135787 : Epoch  3, Batch    787, Loss  0.567219, Average Loss  0.578448, Time  0.258317
2021-09-09 23:32:23.232624 : Saving Model after 3-th Epoch.
2021-09-09 23:32:23.692980 : Epoch  7, Batch   3242, Loss  0.868931, Average Loss  0.869181, Time  0.372055
2021-09-09 23:32:24.142671 : Epoch Finished.
2021-09-09 23:32:25.929534 : Epoch  7, Batch   3243, Loss  0.859215, Average Loss  0.869123, Time  0.400131
2021-09-09 23:32:26.299653 : Batch Shuffled
2021-09-09 23:32:27.734784 : Epoch  7, Batch   3244, Loss  0.847697, Average Loss  0.868968, Time  0.357190
2021-09-09 23:32:28.223889 : Epoch  4, Batch      1, Loss  0.570418, Average Loss  0.578393, Time  0.266695
2021-09-09 23:32:29.588901 : Epoch  7, Batch   3245, Loss  0.876198, Average Loss  0.869175, Time  0.408482
2021-09-09 23:32:30.092955 : Epoch  4, Batch      2, Loss  0.582296, Average Loss  0.578436, Time  0.257788
2021-09-09 23:32:31.412768 : Epoch  7, Batch   3246, Loss  0.857510, Average Loss  0.869050, Time  0.357383
2021-09-09 23:32:32.009945 : Epoch  4, Batch      3, Loss  0.571610, Average Loss  0.578397, Time  0.258033
2021-09-09 23:32:33.281903 : Epoch  7, Batch   3247, Loss  0.851452, Average Loss  0.869067, Time  0.414646
2021-09-09 23:32:33.907795 : Epoch  4, Batch      4, Loss  0.588280, Average Loss  0.578430, Time  0.257501
2021-09-09 23:32:35.094785 : Epoch  7, Batch   3248, Loss  0.858105, Average Loss  0.869013, Time  0.354985
2021-09-09 23:32:35.807051 : Epoch  4, Batch      5, Loss  0.572912, Average Loss  0.578352, Time  0.260416
2021-09-09 23:32:36.967079 : Epoch  7, Batch   3249, Loss  0.874226, Average Loss  0.869005, Time  0.414665
2021-09-09 23:32:37.724870 : Epoch  4, Batch      6, Loss  0.562235, Average Loss  0.578286, Time  0.258013
2021-09-09 23:32:38.780862 : Epoch  7, Batch   3250, Loss  0.848885, Average Loss  0.868837, Time  0.357243
2021-09-09 23:32:39.645948 : Epoch  4, Batch      7, Loss  0.564561, Average Loss  0.578219, Time  0.260370
2021-09-09 23:32:40.593127 : Epoch  7, Batch   3251, Loss  0.870180, Average Loss  0.868857, Time  0.394526
2021-09-09 23:32:41.544065 : Epoch  4, Batch      8, Loss  0.564153, Average Loss  0.578146, Time  0.258003
2021-09-09 23:32:42.404797 : Epoch  7, Batch   3252, Loss  0.847498, Average Loss  0.868877, Time  0.357639
2021-09-09 23:32:43.461072 : Epoch  4, Batch      9, Loss  0.583260, Average Loss  0.578166, Time  0.257726
2021-09-09 23:32:44.230755 : Epoch  7, Batch   3253, Loss  0.839667, Average Loss  0.868687, Time  0.367031
2021-09-09 23:32:45.372764 : Epoch  4, Batch     10, Loss  0.572589, Average Loss  0.578145, Time  0.257833
2021-09-09 23:32:46.006788 : Epoch  7, Batch   3254, Loss  0.868528, Average Loss  0.868515, Time  0.357243
2021-09-09 23:32:47.272863 : Epoch  4, Batch     11, Loss  0.565185, Average Loss  0.577992, Time  0.257874
2021-09-09 23:32:47.821783 : Epoch  7, Batch   3255, Loss  0.914318, Average Loss  0.868688, Time  0.365647
2021-09-09 23:32:49.188791 : Epoch  4, Batch     12, Loss  0.580245, Average Loss  0.577996, Time  0.257649
2021-09-09 23:32:49.617770 : Epoch  7, Batch   3256, Loss  0.844396, Average Loss  0.868582, Time  0.359586
2021-09-09 23:32:51.212857 : Epoch  4, Batch     13, Loss  0.567113, Average Loss  0.577866, Time  0.258213
2021-09-09 23:32:51.442234 : Epoch  7, Batch   3257, Loss  0.856635, Average Loss  0.868444, Time  0.373421
2021-09-09 23:32:53.104863 : Epoch  4, Batch     14, Loss  0.579629, Average Loss  0.577831, Time  0.258477
2021-09-09 23:32:53.215788 : Epoch  7, Batch   3258, Loss  0.881791, Average Loss  0.868574, Time  0.361492
2021-09-09 23:32:55.007944 : Epoch  4, Batch     15, Loss  0.566000, Average Loss  0.577764, Time  0.258409
2021-09-09 23:32:55.037125 : Epoch  7, Batch   3259, Loss  0.851538, Average Loss  0.868602, Time  0.371333
2021-09-09 23:32:56.795111 : Epoch  7, Batch   3260, Loss  0.856068, Average Loss  0.868585, Time  0.374559
2021-09-09 23:32:56.881879 : Epoch  4, Batch     16, Loss  0.586480, Average Loss  0.577828, Time  0.257808
2021-09-09 23:32:58.599768 : Epoch  7, Batch   3261, Loss  0.898059, Average Loss  0.868650, Time  0.369250
2021-09-09 23:32:58.752564 : Epoch  4, Batch     17, Loss  0.584975, Average Loss  0.577886, Time  0.263906
2021-09-09 23:33:00.372359 : Epoch  7, Batch   3262, Loss  0.860753, Average Loss  0.868698, Time  0.365234
2021-09-09 23:33:00.611879 : Epoch  4, Batch     18, Loss  0.578551, Average Loss  0.577836, Time  0.258169
2021-09-09 23:33:02.154872 : Epoch  7, Batch   3263, Loss  0.908061, Average Loss  0.868803, Time  0.385503
2021-09-09 23:33:02.481115 : Epoch  4, Batch     19, Loss  0.571659, Average Loss  0.577774, Time  0.268240
2021-09-09 23:33:03.907027 : Epoch  7, Batch   3264, Loss  0.888564, Average Loss  0.868979, Time  0.357240
2021-09-09 23:33:04.336797 : Epoch  4, Batch     20, Loss  0.576806, Average Loss  0.577738, Time  0.260430
2021-09-09 23:33:05.700784 : Epoch  7, Batch   3265, Loss  0.870240, Average Loss  0.868970, Time  0.377670
2021-09-09 23:33:06.191089 : Epoch  4, Batch     21, Loss  0.573549, Average Loss  0.577749, Time  0.259416
2021-09-09 23:33:07.502791 : Epoch  7, Batch   3266, Loss  0.845407, Average Loss  0.868903, Time  0.358983
2021-09-09 23:33:08.082837 : Epoch  4, Batch     22, Loss  0.569260, Average Loss  0.577702, Time  0.258741
2021-09-09 23:33:09.328764 : Epoch  7, Batch   3267, Loss  0.860130, Average Loss  0.868765, Time  0.377235
2021-09-09 23:33:09.999124 : Epoch  4, Batch     23, Loss  0.569162, Average Loss  0.577597, Time  0.261245
2021-09-09 23:33:11.124779 : Epoch  7, Batch   3268, Loss  0.871608, Average Loss  0.868852, Time  0.365605
2021-09-09 23:33:11.902116 : Epoch  4, Batch     24, Loss  0.577209, Average Loss  0.577559, Time  0.260825
2021-09-09 23:33:12.906823 : Epoch  7, Batch   3269, Loss  0.886803, Average Loss  0.868989, Time  0.367772
2021-09-09 23:33:13.794068 : Epoch  4, Batch     25, Loss  0.570581, Average Loss  0.577533, Time  0.257734
2021-09-09 23:33:14.725847 : Epoch  7, Batch   3270, Loss  0.876085, Average Loss  0.868893, Time  0.362284
2021-09-09 23:33:15.691060 : Epoch  4, Batch     26, Loss  0.569914, Average Loss  0.577407, Time  0.257948
2021-09-09 23:33:16.521790 : Epoch  7, Batch   3271, Loss  0.898223, Average Loss  0.869032, Time  0.368788
2021-09-09 23:33:17.587059 : Epoch  4, Batch     27, Loss  0.568005, Average Loss  0.577334, Time  0.257934
2021-09-09 23:33:18.322777 : Epoch  7, Batch   3272, Loss  0.871090, Average Loss  0.868910, Time  0.364864
2021-09-09 23:33:19.495873 : Epoch  4, Batch     28, Loss  0.576164, Average Loss  0.577271, Time  0.258216
2021-09-09 23:33:20.141855 : Epoch  7, Batch   3273, Loss  0.882539, Average Loss  0.868965, Time  0.366813
2021-09-09 23:33:21.401878 : Epoch  4, Batch     29, Loss  0.587260, Average Loss  0.577360, Time  0.258030
2021-09-09 23:33:21.923262 : Epoch  7, Batch   3274, Loss  0.890406, Average Loss  0.869065, Time  0.357784
2021-09-09 23:33:23.301936 : Epoch  4, Batch     30, Loss  0.569613, Average Loss  0.577295, Time  0.260567
2021-09-09 23:33:23.726778 : Epoch  7, Batch   3275, Loss  0.865236, Average Loss  0.869080, Time  0.365683
2021-09-09 23:33:25.201778 : Epoch  4, Batch     31, Loss  0.585256, Average Loss  0.577396, Time  0.258686
2021-09-09 23:33:25.540763 : Epoch  7, Batch   3276, Loss  0.864632, Average Loss  0.869142, Time  0.364941
2021-09-09 23:33:27.106765 : Epoch  4, Batch     32, Loss  0.582728, Average Loss  0.577423, Time  0.258594
2021-09-09 23:33:27.300975 : Epoch  7, Batch   3277, Loss  0.876507, Average Loss  0.869231, Time  0.364912
2021-09-09 23:33:29.050936 : Epoch  4, Batch     33, Loss  0.572989, Average Loss  0.577336, Time  0.264810
2021-09-09 23:33:29.093090 : Epoch  7, Batch   3278, Loss  0.872904, Average Loss  0.869291, Time  0.359340
2021-09-09 23:33:30.879768 : Epoch  7, Batch   3279, Loss  0.873995, Average Loss  0.869207, Time  0.368152
2021-09-09 23:33:30.970796 : Epoch  4, Batch     34, Loss  0.573391, Average Loss  0.577326, Time  0.258273
2021-09-09 23:33:32.677859 : Epoch  7, Batch   3280, Loss  0.855739, Average Loss  0.869235, Time  0.356982
2021-09-09 23:33:32.873047 : Epoch  4, Batch     35, Loss  0.572592, Average Loss  0.577281, Time  0.257817
2021-09-09 23:33:34.506828 : Epoch  7, Batch   3281, Loss  0.862244, Average Loss  0.869081, Time  0.367900
2021-09-09 23:33:34.777903 : Epoch  4, Batch     36, Loss  0.577280, Average Loss  0.577290, Time  0.274768
2021-09-09 23:33:36.311789 : Epoch  7, Batch   3282, Loss  0.855928, Average Loss  0.868893, Time  0.359078
2021-09-09 23:33:36.673768 : Epoch  4, Batch     37, Loss  0.563691, Average Loss  0.577201, Time  0.264457
2021-09-09 23:33:38.102794 : Epoch  7, Batch   3283, Loss  0.884332, Average Loss  0.868953, Time  0.365573
2021-09-09 23:33:38.566932 : Epoch  4, Batch     38, Loss  0.570591, Average Loss  0.577116, Time  0.257819
2021-09-09 23:33:39.887775 : Epoch  7, Batch   3284, Loss  0.879777, Average Loss  0.868978, Time  0.357816
2021-09-09 23:33:40.475898 : Epoch  4, Batch     39, Loss  0.566182, Average Loss  0.577008, Time  0.258078
2021-09-09 23:33:41.680978 : Epoch  7, Batch   3285, Loss  0.887592, Average Loss  0.869088, Time  0.378472
2021-09-09 23:33:43.488121 : Epoch  7, Batch   3286, Loss  0.859904, Average Loss  0.868971, Time  0.362097
2021-09-09 23:33:45.279636 : Epoch  7, Batch   3287, Loss  0.853556, Average Loss  0.868852, Time  0.364728
2021-09-09 23:33:47.052786 : Epoch  7, Batch   3288, Loss  0.854085, Average Loss  0.868832, Time  0.357869
2021-09-09 23:33:48.851794 : Epoch  7, Batch   3289, Loss  0.867987, Average Loss  0.869013, Time  0.382795
2021-09-09 23:33:50.630779 : Epoch  7, Batch   3290, Loss  0.865203, Average Loss  0.869072, Time  0.361248
2021-09-09 23:33:52.423778 : Epoch  7, Batch   3291, Loss  0.865441, Average Loss  0.869092, Time  0.370054
2021-09-09 23:33:54.202785 : Epoch  7, Batch   3292, Loss  0.863615, Average Loss  0.868919, Time  0.360420
2021-09-09 23:33:56.032789 : Epoch  7, Batch   3293, Loss  0.861855, Average Loss  0.868898, Time  0.377825
2021-09-09 23:33:57.837690 : Epoch  7, Batch   3294, Loss  0.865704, Average Loss  0.868921, Time  0.369674
2021-09-09 23:33:59.628775 : Epoch  7, Batch   3295, Loss  0.880255, Average Loss  0.869206, Time  0.370929
2021-09-09 23:34:01.426833 : Epoch  7, Batch   3296, Loss  0.878951, Average Loss  0.869195, Time  0.370617
2021-09-09 23:34:03.246781 : Epoch  7, Batch   3297, Loss  0.883799, Average Loss  0.869174, Time  0.365190
2021-09-09 23:34:05.028767 : Epoch  7, Batch   3298, Loss  0.842591, Average Loss  0.868976, Time  0.357895
2021-09-09 23:34:06.827787 : Epoch  7, Batch   3299, Loss  0.868880, Average Loss  0.868943, Time  0.369565
2021-09-09 23:34:08.609070 : Epoch  7, Batch   3300, Loss  0.852571, Average Loss  0.868723, Time  0.358959
2021-09-09 23:34:10.386270 : Epoch  7, Batch   3301, Loss  0.887193, Average Loss  0.868832, Time  0.377440
2021-09-09 23:34:12.167866 : Epoch  7, Batch   3302, Loss  0.834802, Average Loss  0.868706, Time  0.362743
2021-09-09 23:34:13.978790 : Epoch  7, Batch   3303, Loss  0.882708, Average Loss  0.868870, Time  0.374790
2021-09-09 23:34:15.769777 : Epoch  7, Batch   3304, Loss  0.850280, Average Loss  0.868816, Time  0.365241
2021-09-09 23:34:17.550862 : Epoch  7, Batch   3305, Loss  0.847256, Average Loss  0.868673, Time  0.366112
2021-09-09 23:34:19.366913 : Epoch  7, Batch   3306, Loss  0.914004, Average Loss  0.868951, Time  0.367270
2021-09-09 23:34:21.146783 : Epoch  7, Batch   3307, Loss  0.911324, Average Loss  0.869191, Time  0.368738
2021-09-09 23:34:22.942838 : Epoch  7, Batch   3308, Loss  0.853975, Average Loss  0.869071, Time  0.369461
2021-09-09 23:34:24.741110 : Epoch  7, Batch   3309, Loss  0.869722, Average Loss  0.869142, Time  0.373623
2021-09-09 23:34:26.526630 : Epoch  7, Batch   3310, Loss  0.868032, Average Loss  0.869165, Time  0.365844
2021-09-09 23:34:28.321790 : Epoch  7, Batch   3311, Loss  0.861510, Average Loss  0.868923, Time  0.371952
2021-09-09 23:34:30.127807 : Epoch  7, Batch   3312, Loss  0.847336, Average Loss  0.868830, Time  0.362782
2021-09-09 23:34:31.925785 : Epoch  7, Batch   3313, Loss  0.857248, Average Loss  0.868794, Time  0.365851
2021-09-09 23:34:33.737002 : Epoch  7, Batch   3314, Loss  0.863832, Average Loss  0.868759, Time  0.364391
2021-09-09 23:34:35.528801 : Epoch  7, Batch   3315, Loss  0.862058, Average Loss  0.868550, Time  0.363400
2021-09-09 23:34:37.309920 : Epoch  7, Batch   3316, Loss  0.879815, Average Loss  0.868625, Time  0.357312
2021-09-09 23:34:39.101790 : Epoch  7, Batch   3317, Loss  0.879249, Average Loss  0.868617, Time  0.369242
2021-09-09 23:34:40.877129 : Epoch  7, Batch   3318, Loss  0.878806, Average Loss  0.868675, Time  0.364812
2021-09-09 23:34:42.674831 : Epoch  7, Batch   3319, Loss  0.842880, Average Loss  0.868524, Time  0.372147
2021-09-09 23:34:44.464837 : Epoch  7, Batch   3320, Loss  0.893864, Average Loss  0.868715, Time  0.359079
2021-09-09 23:34:46.252912 : Epoch  7, Batch   3321, Loss  0.901860, Average Loss  0.868814, Time  0.369203
2021-09-09 23:34:48.037793 : Epoch  7, Batch   3322, Loss  0.907542, Average Loss  0.869125, Time  0.361142
2021-09-09 23:34:49.851780 : Epoch  7, Batch   3323, Loss  0.838102, Average Loss  0.868910, Time  0.380425
2021-09-09 23:34:50.359751 : CheckPoint: Validation Loss  0.00024100, Best Loss  0.00023105
2021-09-09 23:34:51.632786 : Epoch  7, Batch   3324, Loss  0.908036, Average Loss  0.869056, Time  0.358464
2021-09-09 23:34:52.285873 : Epoch  4, Batch     40, Loss  0.570367, Average Loss  0.576954, Time  0.262559
2021-09-09 23:34:53.449777 : Epoch  7, Batch   3325, Loss  0.872832, Average Loss  0.869110, Time  0.377070
2021-09-09 23:34:54.190033 : Epoch  4, Batch     41, Loss  0.571349, Average Loss  0.576939, Time  0.257980
2021-09-09 23:34:55.248784 : Epoch  7, Batch   3326, Loss  0.860227, Average Loss  0.869174, Time  0.363174
2021-09-09 23:34:56.095795 : Epoch  4, Batch     42, Loss  0.579909, Average Loss  0.576924, Time  0.257815
2021-09-09 23:34:57.070992 : Epoch  7, Batch   3327, Loss  0.827087, Average Loss  0.868978, Time  0.370960
2021-09-09 23:34:58.013851 : Epoch  4, Batch     43, Loss  0.572405, Average Loss  0.576799, Time  0.258283
2021-09-09 23:34:58.869789 : Epoch  7, Batch   3328, Loss  0.860454, Average Loss  0.868945, Time  0.377111
2021-09-09 23:34:59.920969 : Epoch  4, Batch     44, Loss  0.565210, Average Loss  0.576744, Time  0.257781
2021-09-09 23:35:00.673767 : Epoch  7, Batch   3329, Loss  0.886380, Average Loss  0.868973, Time  0.360782
2021-09-09 23:35:01.823921 : Epoch  4, Batch     45, Loss  0.581102, Average Loss  0.576759, Time  0.258115
2021-09-09 23:35:02.454787 : Epoch  7, Batch   3330, Loss  0.880107, Average Loss  0.868833, Time  0.358001
2021-09-09 23:35:03.735850 : Epoch  4, Batch     46, Loss  0.570048, Average Loss  0.576715, Time  0.257635
2021-09-09 23:35:04.267922 : Epoch  7, Batch   3331, Loss  0.874243, Average Loss  0.868894, Time  0.367432
2021-09-09 23:35:05.619056 : Epoch  4, Batch     47, Loss  0.570657, Average Loss  0.576697, Time  0.257937
2021-09-09 23:35:06.094900 : Epoch  7, Batch   3332, Loss  0.867530, Average Loss  0.868922, Time  0.364049
2021-09-09 23:35:07.524849 : Epoch  4, Batch     48, Loss  0.572936, Average Loss  0.576667, Time  0.257920
2021-09-09 23:35:07.872900 : Epoch  7, Batch   3333, Loss  0.847543, Average Loss  0.868850, Time  0.363062
2021-09-09 23:35:09.436795 : Epoch  4, Batch     49, Loss  0.574461, Average Loss  0.576705, Time  0.258301
2021-09-09 23:35:09.683763 : Epoch  7, Batch   3334, Loss  0.877490, Average Loss  0.868896, Time  0.362466
2021-09-09 23:35:11.354518 : Epoch  4, Batch     50, Loss  0.572849, Average Loss  0.576652, Time  0.261128
2021-09-09 23:35:13.288558 : Epoch  4, Batch     51, Loss  0.562349, Average Loss  0.576587, Time  0.261267
2021-09-09 23:35:15.220955 : Epoch  4, Batch     52, Loss  0.570983, Average Loss  0.576527, Time  0.261271
2021-09-09 23:35:17.137828 : Epoch  4, Batch     53, Loss  0.587252, Average Loss  0.576568, Time  0.259805
2021-09-09 23:35:19.069061 : Epoch  4, Batch     54, Loss  0.572745, Average Loss  0.576553, Time  0.257669
2021-09-09 23:35:20.970042 : Epoch  4, Batch     55, Loss  0.571051, Average Loss  0.576517, Time  0.257794
2021-09-09 23:35:22.888851 : Epoch  4, Batch     56, Loss  0.571117, Average Loss  0.576527, Time  0.258826
2021-09-09 23:35:24.798167 : Epoch  4, Batch     57, Loss  0.575142, Average Loss  0.576517, Time  0.258174
2021-09-09 23:35:26.708788 : Epoch  4, Batch     58, Loss  0.570577, Average Loss  0.576480, Time  0.260487
2021-09-09 23:35:28.636127 : Epoch  4, Batch     59, Loss  0.573526, Average Loss  0.576487, Time  0.257942
2021-09-09 23:35:30.596761 : Epoch  4, Batch     60, Loss  0.573733, Average Loss  0.576429, Time  0.258227
2021-09-09 23:35:32.512126 : Epoch  4, Batch     61, Loss  0.565904, Average Loss  0.576365, Time  0.258348
2021-09-09 23:35:34.443146 : Epoch  4, Batch     62, Loss  0.573430, Average Loss  0.576322, Time  0.260283
2021-09-09 23:35:36.357043 : Epoch  4, Batch     63, Loss  0.563343, Average Loss  0.576239, Time  0.259746
2021-09-09 23:35:38.262871 : Epoch  4, Batch     64, Loss  0.565481, Average Loss  0.576199, Time  0.257732
2021-09-09 23:35:40.176965 : Epoch  4, Batch     65, Loss  0.587240, Average Loss  0.576279, Time  0.258524
2021-09-09 23:35:42.086067 : Epoch  4, Batch     66, Loss  0.574980, Average Loss  0.576249, Time  0.257661
2021-09-09 23:35:43.993781 : Epoch  4, Batch     67, Loss  0.578731, Average Loss  0.576218, Time  0.260416
2021-09-09 23:35:45.894855 : Epoch  4, Batch     68, Loss  0.578714, Average Loss  0.576185, Time  0.258392
2021-09-09 23:35:47.811044 : Epoch  4, Batch     69, Loss  0.569502, Average Loss  0.576099, Time  0.258283
2021-09-09 23:35:49.741840 : Epoch  4, Batch     70, Loss  0.575604, Average Loss  0.576073, Time  0.258139
2021-09-09 23:35:51.647113 : Epoch  4, Batch     71, Loss  0.573514, Average Loss  0.576024, Time  0.258258
2021-09-09 23:35:53.547862 : Epoch  4, Batch     72, Loss  0.578317, Average Loss  0.575998, Time  0.258170
2021-09-09 23:35:55.444874 : Epoch  4, Batch     73, Loss  0.589688, Average Loss  0.576073, Time  0.257719
2021-09-09 23:35:57.348856 : Epoch  4, Batch     74, Loss  0.585850, Average Loss  0.576104, Time  0.257808
2021-09-09 23:35:59.251955 : Epoch  4, Batch     75, Loss  0.568516, Average Loss  0.576071, Time  0.258073
2021-09-09 23:36:01.167880 : Epoch  4, Batch     76, Loss  0.570787, Average Loss  0.575958, Time  0.258337
2021-09-09 23:36:03.095063 : Epoch  4, Batch     77, Loss  0.578183, Average Loss  0.575948, Time  0.258138
2021-09-09 23:36:05.005049 : Epoch  4, Batch     78, Loss  0.580629, Average Loss  0.575967, Time  0.259804
2021-09-09 23:36:06.921873 : Epoch  4, Batch     79, Loss  0.573594, Average Loss  0.575943, Time  0.258049
2021-09-09 23:36:08.843794 : Epoch  4, Batch     80, Loss  0.561421, Average Loss  0.575874, Time  0.257681
2021-09-09 23:36:10.766803 : Epoch  4, Batch     81, Loss  0.567898, Average Loss  0.575802, Time  0.258231
2021-09-09 23:36:12.688833 : Epoch  4, Batch     82, Loss  0.557552, Average Loss  0.575735, Time  0.257935
2021-09-09 23:36:14.582588 : Epoch  4, Batch     83, Loss  0.565545, Average Loss  0.575660, Time  0.259233
2021-09-09 23:36:16.496873 : Epoch  4, Batch     84, Loss  0.581691, Average Loss  0.575704, Time  0.261325
2021-09-09 23:36:18.424893 : Epoch  4, Batch     85, Loss  0.561155, Average Loss  0.575571, Time  0.260964
2021-09-09 23:36:20.319125 : Epoch  4, Batch     86, Loss  0.557746, Average Loss  0.575459, Time  0.261537
2021-09-09 23:36:22.194906 : Epoch  4, Batch     87, Loss  0.571897, Average Loss  0.575427, Time  0.258578
2021-09-09 23:36:24.078874 : Epoch  4, Batch     88, Loss  0.573660, Average Loss  0.575415, Time  0.261932
2021-09-09 23:36:25.970982 : Epoch  4, Batch     89, Loss  0.570948, Average Loss  0.575364, Time  0.265081
2021-09-09 23:36:27.871133 : Epoch  4, Batch     90, Loss  0.578936, Average Loss  0.575316, Time  0.260914
2021-09-09 23:36:29.768919 : Epoch  4, Batch     91, Loss  0.564092, Average Loss  0.575238, Time  0.258064
2021-09-09 23:36:31.697093 : Epoch  4, Batch     92, Loss  0.566705, Average Loss  0.575224, Time  0.261974
2021-09-09 23:36:33.595841 : Epoch  4, Batch     93, Loss  0.572955, Average Loss  0.575212, Time  0.264711
2021-09-09 23:36:35.501854 : Epoch  4, Batch     94, Loss  0.564427, Average Loss  0.575139, Time  0.262553
2021-09-09 23:36:37.400144 : Epoch  4, Batch     95, Loss  0.564085, Average Loss  0.575065, Time  0.262223
2021-09-09 23:36:39.288829 : Epoch  4, Batch     96, Loss  0.570277, Average Loss  0.575045, Time  0.258635
2021-09-09 23:36:41.179103 : Epoch  4, Batch     97, Loss  0.569132, Average Loss  0.574961, Time  0.259806
2021-09-09 23:36:43.054901 : Epoch  4, Batch     98, Loss  0.572606, Average Loss  0.574910, Time  0.263296
2021-09-09 23:36:44.959937 : Epoch  4, Batch     99, Loss  0.564611, Average Loss  0.574796, Time  0.261406
2021-09-09 23:36:46.852866 : Epoch  4, Batch    100, Loss  0.576884, Average Loss  0.574759, Time  0.258228
2021-09-09 23:36:48.728075 : Epoch  4, Batch    101, Loss  0.566620, Average Loss  0.574792, Time  0.257956
2021-09-09 23:36:50.606085 : Epoch  4, Batch    102, Loss  0.569864, Average Loss  0.574788, Time  0.258311
2021-09-09 23:36:52.507923 : Epoch  4, Batch    103, Loss  0.583383, Average Loss  0.574813, Time  0.263035
2021-09-09 23:36:54.413925 : Epoch  4, Batch    104, Loss  0.576977, Average Loss  0.574761, Time  0.261129
2021-09-09 23:36:56.356096 : Epoch  4, Batch    105, Loss  0.554817, Average Loss  0.574638, Time  0.263633
2021-09-09 23:36:58.251096 : Epoch  4, Batch    106, Loss  0.571747, Average Loss  0.574555, Time  0.266013
2021-09-09 23:37:00.149864 : Epoch  4, Batch    107, Loss  0.563935, Average Loss  0.574466, Time  0.266611
2021-09-09 23:37:02.051560 : Epoch  4, Batch    108, Loss  0.569130, Average Loss  0.574433, Time  0.258366
2021-09-09 23:37:03.921797 : Epoch  4, Batch    109, Loss  0.567888, Average Loss  0.574296, Time  0.258076
2021-09-09 23:37:07.978087 : Epoch  4, Batch    110, Loss  0.564680, Average Loss  0.574252, Time  0.267323
2021-09-09 23:37:09.874075 : Epoch  4, Batch    111, Loss  0.582674, Average Loss  0.574204, Time  0.258481
2021-09-09 23:37:11.761102 : Epoch  4, Batch    112, Loss  0.560869, Average Loss  0.574117, Time  0.259811
2021-09-09 23:37:13.671772 : Epoch  4, Batch    113, Loss  0.574165, Average Loss  0.574118, Time  0.277918
2021-09-09 23:37:15.553887 : Epoch  4, Batch    114, Loss  0.591055, Average Loss  0.574194, Time  0.258686
2021-09-09 23:37:17.481802 : Epoch  4, Batch    115, Loss  0.572587, Average Loss  0.574085, Time  0.262569
2021-09-09 23:37:19.372833 : Epoch  4, Batch    116, Loss  0.580907, Average Loss  0.574004, Time  0.258198
2021-09-09 23:37:21.283863 : Epoch  4, Batch    117, Loss  0.574524, Average Loss  0.573959, Time  0.262443
2021-09-09 23:37:23.189826 : Epoch  4, Batch    118, Loss  0.575397, Average Loss  0.573919, Time  0.265126
2021-09-09 23:37:25.058837 : Epoch  4, Batch    119, Loss  0.575486, Average Loss  0.573888, Time  0.259082
2021-09-09 23:37:26.973878 : Epoch  4, Batch    120, Loss  0.565562, Average Loss  0.573835, Time  0.261801
2021-09-09 23:37:28.864786 : Epoch  4, Batch    121, Loss  0.575107, Average Loss  0.573773, Time  0.262641
2021-09-09 23:37:30.763871 : Epoch  4, Batch    122, Loss  0.576888, Average Loss  0.573780, Time  0.262272
2021-09-09 23:37:32.720950 : Epoch  4, Batch    123, Loss  0.572337, Average Loss  0.573781, Time  0.258705
2021-09-09 23:37:34.607785 : Epoch  4, Batch    124, Loss  0.562461, Average Loss  0.573717, Time  0.261645
2021-09-09 23:37:36.510562 : Epoch  4, Batch    125, Loss  0.582148, Average Loss  0.573747, Time  0.269687
2021-09-09 23:37:38.394905 : Epoch  4, Batch    126, Loss  0.578237, Average Loss  0.573740, Time  0.261373
2021-09-09 23:37:40.277940 : Epoch  4, Batch    127, Loss  0.573911, Average Loss  0.573673, Time  0.261740
2021-09-09 23:37:42.168931 : Epoch  4, Batch    128, Loss  0.570150, Average Loss  0.573580, Time  0.259053
2021-09-09 23:37:44.054090 : Epoch  4, Batch    129, Loss  0.567379, Average Loss  0.573577, Time  0.258153
2021-09-09 23:37:45.963337 : Epoch  4, Batch    130, Loss  0.574902, Average Loss  0.573604, Time  0.258136
2021-09-09 23:37:47.826146 : Epoch  4, Batch    131, Loss  0.561808, Average Loss  0.573493, Time  0.259099
2021-09-09 23:37:49.698769 : Epoch  4, Batch    132, Loss  0.572458, Average Loss  0.573480, Time  0.261828
2021-09-09 23:37:51.581776 : Epoch  4, Batch    133, Loss  0.572635, Average Loss  0.573440, Time  0.258235
2021-09-09 23:37:53.454276 : Epoch  4, Batch    134, Loss  0.563543, Average Loss  0.573307, Time  0.260388
2021-09-09 23:37:55.325976 : Epoch  4, Batch    135, Loss  0.557963, Average Loss  0.573182, Time  0.270205
2021-09-09 23:37:57.202089 : Epoch  4, Batch    136, Loss  0.569045, Average Loss  0.573091, Time  0.261994
2021-09-09 23:37:59.098785 : Epoch  4, Batch    137, Loss  0.577910, Average Loss  0.573088, Time  0.258889
2021-09-09 23:38:00.979855 : Epoch  4, Batch    138, Loss  0.559069, Average Loss  0.573033, Time  0.258452
2021-09-09 23:38:02.852994 : Epoch  4, Batch    139, Loss  0.571585, Average Loss  0.572987, Time  0.258655
2021-09-09 23:39:12.884735 : CheckPoint: Validation Loss  0.00023607, Best Loss  0.00023105
2021-09-09 23:39:14.810899 : Epoch  4, Batch    140, Loss  0.553897, Average Loss  0.572879, Time  0.264575
2021-09-09 23:39:16.699779 : Epoch  4, Batch    141, Loss  0.562119, Average Loss  0.572822, Time  0.258284
2021-09-09 23:39:18.619794 : Epoch  4, Batch    142, Loss  0.580669, Average Loss  0.572825, Time  0.258984
2021-09-09 23:39:20.536828 : Epoch  4, Batch    143, Loss  0.547504, Average Loss  0.572703, Time  0.261641
2021-09-09 23:39:22.423790 : Epoch  4, Batch    144, Loss  0.564211, Average Loss  0.572660, Time  0.258055
2021-09-09 23:39:24.317871 : Epoch  4, Batch    145, Loss  0.583111, Average Loss  0.572722, Time  0.259910
2021-09-09 23:39:26.200064 : Epoch  4, Batch    146, Loss  0.571564, Average Loss  0.572727, Time  0.262172
2021-09-09 23:39:28.078831 : Epoch  4, Batch    147, Loss  0.563330, Average Loss  0.572687, Time  0.265044
2021-09-09 23:39:29.974808 : Epoch  4, Batch    148, Loss  0.586040, Average Loss  0.572768, Time  0.258215
2021-09-09 23:39:31.881084 : Epoch  4, Batch    149, Loss  0.572052, Average Loss  0.572676, Time  0.259121
2021-09-09 23:39:33.769774 : Epoch  4, Batch    150, Loss  0.581930, Average Loss  0.572717, Time  0.262288
2021-09-09 23:39:35.654785 : Epoch  4, Batch    151, Loss  0.569330, Average Loss  0.572712, Time  0.260671
2021-09-09 23:39:37.535794 : Epoch  4, Batch    152, Loss  0.568966, Average Loss  0.572684, Time  0.262205
2021-09-09 23:39:39.430131 : Epoch  4, Batch    153, Loss  0.566072, Average Loss  0.572694, Time  0.266314
2021-09-09 23:39:41.331580 : Epoch  4, Batch    154, Loss  0.575398, Average Loss  0.572687, Time  0.257993
2021-09-09 23:39:43.206762 : Epoch  4, Batch    155, Loss  0.583137, Average Loss  0.572739, Time  0.258349
2021-09-09 23:39:45.090825 : Epoch  4, Batch    156, Loss  0.568479, Average Loss  0.572682, Time  0.258011
2021-09-09 23:39:46.997915 : Epoch  4, Batch    157, Loss  0.556353, Average Loss  0.572618, Time  0.258082
2021-09-09 23:39:48.924098 : Epoch  4, Batch    158, Loss  0.564825, Average Loss  0.572542, Time  0.265266
2021-09-09 23:39:50.825084 : Epoch  4, Batch    159, Loss  0.575342, Average Loss  0.572575, Time  0.260624
2021-09-09 23:39:52.707907 : Epoch  4, Batch    160, Loss  0.558116, Average Loss  0.572477, Time  0.259722
2021-09-09 23:39:54.570094 : Epoch  4, Batch    161, Loss  0.577910, Average Loss  0.572427, Time  0.258373
2021-09-09 23:39:56.495918 : Epoch  4, Batch    162, Loss  0.567464, Average Loss  0.572421, Time  0.268011
2021-09-09 23:39:58.367114 : Epoch  4, Batch    163, Loss  0.567311, Average Loss  0.572365, Time  0.265223
2021-09-09 23:39:58.809722 : CheckPoint: Validation Loss  0.00062549, Best Loss  0.00056427
2021-09-09 23:40:00.248143 : Epoch  4, Batch    164, Loss  0.570903, Average Loss  0.572367, Time  0.264940
2021-09-09 23:40:00.595774 : Epoch  7, Batch   3335, Loss  0.882979, Average Loss  0.868998, Time  0.362172
2021-09-09 23:40:02.151142 : Epoch  4, Batch    165, Loss  0.568223, Average Loss  0.572303, Time  0.263678
2021-09-09 23:40:02.480777 : Epoch  7, Batch   3336, Loss  0.877660, Average Loss  0.869034, Time  0.453658
2021-09-09 23:40:04.032474 : Epoch  4, Batch    166, Loss  0.561002, Average Loss  0.572199, Time  0.261452
2021-09-09 23:40:04.276153 : Epoch  7, Batch   3337, Loss  0.853104, Average Loss  0.869056, Time  0.360958
2021-09-09 23:40:05.903889 : Epoch  4, Batch    167, Loss  0.560379, Average Loss  0.572127, Time  0.257900
2021-09-09 23:40:06.075168 : Epoch  7, Batch   3338, Loss  0.851849, Average Loss  0.869121, Time  0.385743
2021-09-09 23:40:07.779909 : Epoch  4, Batch    168, Loss  0.569090, Average Loss  0.572150, Time  0.259085
2021-09-09 23:40:07.834769 : Epoch  7, Batch   3339, Loss  0.872599, Average Loss  0.869156, Time  0.357071
2021-09-09 23:40:09.613125 : Epoch  7, Batch   3340, Loss  0.878181, Average Loss  0.869308, Time  0.357223
2021-09-09 23:40:09.695159 : Epoch  4, Batch    169, Loss  0.557086, Average Loss  0.572068, Time  0.258371
2021-09-09 23:40:11.494160 : Epoch  7, Batch   3341, Loss  0.874277, Average Loss  0.869345, Time  0.445823
2021-09-09 23:40:11.640759 : Epoch  4, Batch    170, Loss  0.565253, Average Loss  0.572047, Time  0.295123
2021-09-09 23:40:13.425780 : Epoch  7, Batch   3342, Loss  0.893569, Average Loss  0.869522, Time  0.431076
2021-09-09 23:40:13.516808 : Epoch  4, Batch    171, Loss  0.568500, Average Loss  0.572025, Time  0.262253
2021-09-09 23:40:15.232211 : Epoch  7, Batch   3343, Loss  0.857610, Average Loss  0.869426, Time  0.361263
2021-09-09 23:40:15.420814 : Epoch  4, Batch    172, Loss  0.566017, Average Loss  0.571952, Time  0.258665
2021-09-09 23:40:17.022775 : Epoch  7, Batch   3344, Loss  0.887774, Average Loss  0.869518, Time  0.358109
2021-09-09 23:40:17.287605 : Epoch  4, Batch    173, Loss  0.557789, Average Loss  0.571835, Time  0.259222
2021-09-09 23:40:18.835518 : Epoch  7, Batch   3345, Loss  0.862203, Average Loss  0.869528, Time  0.372954
2021-09-09 23:40:19.162753 : Epoch  4, Batch    174, Loss  0.574660, Average Loss  0.571818, Time  0.261451
2021-09-09 23:40:20.733178 : Epoch  7, Batch   3346, Loss  0.875927, Average Loss  0.869459, Time  0.450931
2021-09-09 23:40:21.041075 : Epoch  4, Batch    175, Loss  0.552859, Average Loss  0.571687, Time  0.258169
2021-09-09 23:40:22.536213 : Epoch  7, Batch   3347, Loss  0.831033, Average Loss  0.869243, Time  0.369642
2021-09-09 23:40:22.933775 : Epoch  4, Batch    176, Loss  0.559596, Average Loss  0.571640, Time  0.258027
2021-09-09 23:40:24.310785 : Epoch  7, Batch   3348, Loss  0.876158, Average Loss  0.869250, Time  0.356275
2021-09-09 23:40:24.855093 : Epoch  4, Batch    177, Loss  0.558778, Average Loss  0.571575, Time  0.273314
2021-09-09 23:40:26.121870 : Epoch  7, Batch   3349, Loss  0.881300, Average Loss  0.869331, Time  0.358750
2021-09-09 23:40:26.763793 : Epoch  4, Batch    178, Loss  0.571146, Average Loss  0.571561, Time  0.261732
2021-09-09 23:40:28.010135 : Epoch  7, Batch   3350, Loss  0.848473, Average Loss  0.869368, Time  0.452072
2021-09-09 23:40:28.636080 : Epoch  4, Batch    179, Loss  0.580654, Average Loss  0.571579, Time  0.262566
2021-09-09 23:40:29.895768 : Epoch  7, Batch   3351, Loss  0.870004, Average Loss  0.869369, Time  0.445166
2021-09-09 23:40:30.541804 : Epoch  4, Batch    180, Loss  0.562877, Average Loss  0.571499, Time  0.263530
2021-09-09 23:40:31.700784 : Epoch  7, Batch   3352, Loss  0.860745, Average Loss  0.869301, Time  0.359493
2021-09-09 23:40:32.427860 : Epoch  4, Batch    181, Loss  0.567577, Average Loss  0.571437, Time  0.258084
2021-09-09 23:40:33.508096 : Epoch  7, Batch   3353, Loss  0.871976, Average Loss  0.869271, Time  0.355085
2021-09-09 23:40:34.310091 : Epoch  4, Batch    182, Loss  0.564241, Average Loss  0.571374, Time  0.262030
2021-09-09 23:40:35.333782 : Epoch  7, Batch   3354, Loss  0.863861, Average Loss  0.869298, Time  0.401306
2021-09-09 23:40:36.200575 : Epoch  4, Batch    183, Loss  0.582991, Average Loss  0.571385, Time  0.258071
2021-09-09 23:40:37.231784 : Epoch  7, Batch   3355, Loss  0.847667, Average Loss  0.869031, Time  0.451592
2021-09-09 23:40:38.122866 : Epoch  4, Batch    184, Loss  0.551463, Average Loss  0.571306, Time  0.276166
2021-09-09 23:40:39.037786 : Epoch  7, Batch   3356, Loss  0.847321, Average Loss  0.869011, Time  0.344629
2021-09-09 23:40:40.008966 : Epoch  4, Batch    185, Loss  0.582049, Average Loss  0.571299, Time  0.263541
2021-09-09 23:40:40.835831 : Epoch  7, Batch   3357, Loss  0.864349, Average Loss  0.868974, Time  0.357151
2021-09-09 23:40:41.909082 : Epoch  4, Batch    186, Loss  0.566608, Average Loss  0.571254, Time  0.257965
2021-09-09 23:40:42.631785 : Epoch  7, Batch   3358, Loss  0.866104, Average Loss  0.868977, Time  0.355830
2021-09-09 23:40:43.844092 : Epoch  4, Batch    187, Loss  0.570010, Average Loss  0.571242, Time  0.259492
2021-09-09 23:40:44.524782 : Epoch  7, Batch   3359, Loss  0.885383, Average Loss  0.868995, Time  0.453840
2021-09-09 23:40:45.749993 : Epoch  4, Batch    188, Loss  0.568957, Average Loss  0.571253, Time  0.262043
2021-09-09 23:40:46.408775 : Epoch  7, Batch   3360, Loss  0.892199, Average Loss  0.868972, Time  0.433873
2021-09-09 23:40:47.652089 : Epoch  4, Batch    189, Loss  0.589387, Average Loss  0.571293, Time  0.262999
2021-09-09 23:40:48.207776 : Epoch  7, Batch   3361, Loss  0.826355, Average Loss  0.868824, Time  0.358157
2021-09-09 23:40:49.557086 : Epoch  4, Batch    190, Loss  0.571795, Average Loss  0.571350, Time  0.264468
2021-09-09 23:40:50.013785 : Epoch  7, Batch   3362, Loss  0.865096, Average Loss  0.868664, Time  0.358106
2021-09-09 23:40:51.461017 : Epoch  4, Batch    191, Loss  0.561020, Average Loss  0.571309, Time  0.258039
2021-09-09 23:40:51.876777 : Epoch  7, Batch   3363, Loss  0.860535, Average Loss  0.868596, Time  0.411234
2021-09-09 23:40:53.360771 : Epoch  4, Batch    192, Loss  0.568325, Average Loss  0.571305, Time  0.261218
2021-09-09 23:40:53.769784 : Epoch  7, Batch   3364, Loss  0.841078, Average Loss  0.868541, Time  0.451045
2021-09-09 23:40:55.263939 : Epoch  4, Batch    193, Loss  0.569039, Average Loss  0.571294, Time  0.262714
2021-09-09 23:40:55.550771 : Epoch  7, Batch   3365, Loss  0.881959, Average Loss  0.868715, Time  0.356423
2021-09-09 23:40:57.167931 : Epoch  4, Batch    194, Loss  0.572742, Average Loss  0.571327, Time  0.271406
2021-09-09 23:40:57.346800 : Epoch  7, Batch   3366, Loss  0.889616, Average Loss  0.868917, Time  0.357795
2021-09-09 23:40:59.058095 : Epoch  4, Batch    195, Loss  0.561386, Average Loss  0.571301, Time  0.260176
2021-09-09 23:40:59.146937 : Epoch  7, Batch   3367, Loss  0.847303, Average Loss  0.868784, Time  0.377257
2021-09-09 23:41:00.941087 : Epoch  4, Batch    196, Loss  0.575248, Average Loss  0.571289, Time  0.259408
2021-09-09 23:41:01.035780 : Epoch  7, Batch   3368, Loss  0.862551, Average Loss  0.868717, Time  0.455041
2021-09-09 23:41:02.828770 : Epoch  7, Batch   3369, Loss  0.865761, Average Loss  0.868697, Time  0.356806
2021-09-09 23:41:02.873118 : Epoch  4, Batch    197, Loss  0.548667, Average Loss  0.571139, Time  0.260112
2021-09-09 23:41:04.621788 : Epoch  7, Batch   3370, Loss  0.876072, Average Loss  0.868890, Time  0.358389
2021-09-09 23:41:04.801846 : Epoch  4, Batch    198, Loss  0.573239, Average Loss  0.571086, Time  0.259105
2021-09-09 23:41:06.416785 : Epoch  7, Batch   3371, Loss  0.905095, Average Loss  0.869085, Time  0.361976
2021-09-09 23:41:06.709925 : Epoch  4, Batch    199, Loss  0.565621, Average Loss  0.571048, Time  0.258015
2021-09-09 23:41:08.315788 : Epoch  7, Batch   3372, Loss  0.870268, Average Loss  0.869096, Time  0.452996
2021-09-09 23:41:08.638995 : Epoch  4, Batch    200, Loss  0.566512, Average Loss  0.571045, Time  0.268805
2021-09-09 23:41:10.144797 : Epoch  7, Batch   3373, Loss  0.844590, Average Loss  0.868956, Time  0.372644
2021-09-09 23:41:10.545786 : Epoch  4, Batch    201, Loss  0.569341, Average Loss  0.571040, Time  0.260298
2021-09-09 23:41:11.961780 : Epoch  7, Batch   3374, Loss  0.841386, Average Loss  0.868835, Time  0.356136
2021-09-09 23:41:12.437778 : Epoch  4, Batch    202, Loss  0.579126, Average Loss  0.571024, Time  0.260899
2021-09-09 23:41:13.805771 : Epoch  7, Batch   3375, Loss  0.859815, Average Loss  0.868725, Time  0.355907
2021-09-09 23:41:14.334227 : Epoch  4, Batch    203, Loss  0.567385, Average Loss  0.571003, Time  0.258056
2021-09-09 23:41:15.695784 : Epoch  7, Batch   3376, Loss  0.880506, Average Loss  0.868807, Time  0.448701
2021-09-09 23:41:16.219088 : Epoch  4, Batch    204, Loss  0.570884, Average Loss  0.570916, Time  0.257934
2021-09-09 23:41:17.584783 : Epoch  7, Batch   3377, Loss  0.860828, Average Loss  0.868809, Time  0.449965
2021-09-09 23:41:18.096084 : Epoch  4, Batch    205, Loss  0.570431, Average Loss  0.570903, Time  0.264217
2021-09-09 23:41:19.374072 : Epoch  7, Batch   3378, Loss  0.837282, Average Loss  0.868733, Time  0.356167
2021-09-09 23:41:19.994808 : Epoch  4, Batch    206, Loss  0.550623, Average Loss  0.570845, Time  0.259075
2021-09-09 23:41:21.167783 : Epoch  7, Batch   3379, Loss  0.848904, Average Loss  0.868722, Time  0.355850
2021-09-09 23:41:21.886107 : Epoch  4, Batch    207, Loss  0.574858, Average Loss  0.570897, Time  0.258125
2021-09-09 23:41:22.990850 : Epoch  7, Batch   3380, Loss  0.855005, Average Loss  0.868717, Time  0.382560
2021-09-09 23:41:23.756976 : Epoch  4, Batch    208, Loss  0.565634, Average Loss  0.570904, Time  0.258162
2021-09-09 23:41:24.889783 : Epoch  7, Batch   3381, Loss  0.877314, Average Loss  0.868768, Time  0.452931
2021-09-09 23:41:25.643086 : Epoch  4, Batch    209, Loss  0.573170, Average Loss  0.570854, Time  0.266927
2021-09-09 23:41:26.682122 : Epoch  7, Batch   3382, Loss  0.868306, Average Loss  0.868682, Time  0.339309
2021-09-09 23:41:28.514090 : Epoch  7, Batch   3383, Loss  0.860403, Average Loss  0.868562, Time  0.356760
2021-09-09 23:41:29.662810 : Epoch  4, Batch    210, Loss  0.563454, Average Loss  0.570808, Time  0.268384
2021-09-09 23:41:30.339831 : Epoch  7, Batch   3384, Loss  0.872764, Average Loss  0.868602, Time  0.358072
2021-09-09 23:41:31.573845 : Epoch  4, Batch    211, Loss  0.578209, Average Loss  0.570873, Time  0.258534
2021-09-09 23:41:32.274781 : Epoch  7, Batch   3385, Loss  0.855686, Average Loss  0.868337, Time  0.454350
2021-09-09 23:41:33.481771 : Epoch  4, Batch    212, Loss  0.568854, Average Loss  0.570816, Time  0.258591
2021-09-09 23:41:34.164782 : Epoch  7, Batch   3386, Loss  0.878313, Average Loss  0.868212, Time  0.448039
2021-09-09 23:41:35.383079 : Epoch  4, Batch    213, Loss  0.572289, Average Loss  0.570842, Time  0.264211
2021-09-09 23:41:35.964783 : Epoch  7, Batch   3387, Loss  0.892609, Average Loss  0.868248, Time  0.359861
2021-09-09 23:41:37.282759 : Epoch  4, Batch    214, Loss  0.565547, Average Loss  0.570772, Time  0.258635
2021-09-09 23:41:37.777785 : Epoch  7, Batch   3388, Loss  0.848054, Average Loss  0.868100, Time  0.356076
2021-09-09 23:41:39.191817 : Epoch  4, Batch    215, Loss  0.566571, Average Loss  0.570774, Time  0.265637
2021-09-09 23:41:39.609775 : Epoch  7, Batch   3389, Loss  0.841747, Average Loss  0.868168, Time  0.394994
2021-09-09 23:41:41.111835 : Epoch  4, Batch    216, Loss  0.571865, Average Loss  0.570701, Time  0.264934
2021-09-09 23:41:41.499777 : Epoch  7, Batch   3390, Loss  0.854088, Average Loss  0.868095, Time  0.452491
2021-09-09 23:41:43.016178 : Epoch  4, Batch    217, Loss  0.579796, Average Loss  0.570675, Time  0.258977
2021-09-09 23:41:43.308103 : Epoch  7, Batch   3391, Loss  0.852537, Average Loss  0.867961, Time  0.356608
2021-09-09 23:41:44.926170 : Epoch  4, Batch    218, Loss  0.573095, Average Loss  0.570648, Time  0.258581
2021-09-09 23:41:45.096772 : Epoch  7, Batch   3392, Loss  0.860197, Average Loss  0.867879, Time  0.358100
2021-09-09 23:41:46.825109 : Epoch  4, Batch    219, Loss  0.567452, Average Loss  0.570627, Time  0.258123
2021-09-09 23:41:46.927190 : Epoch  7, Batch   3393, Loss  0.846905, Average Loss  0.867771, Time  0.368226
2021-09-09 23:41:48.738820 : Epoch  4, Batch    220, Loss  0.568979, Average Loss  0.570588, Time  0.260696
2021-09-09 23:41:48.837776 : Epoch  7, Batch   3394, Loss  0.880550, Average Loss  0.867934, Time  0.454021
2021-09-09 23:41:50.654853 : Epoch  4, Batch    221, Loss  0.566764, Average Loss  0.570554, Time  0.265531
2021-09-09 23:41:50.710762 : Epoch  7, Batch   3395, Loss  0.863292, Average Loss  0.867821, Time  0.415873
2021-09-09 23:41:52.509822 : Epoch  7, Batch   3396, Loss  0.874529, Average Loss  0.867730, Time  0.356906
2021-09-09 23:41:52.582983 : Epoch  4, Batch    222, Loss  0.567854, Average Loss  0.570547, Time  0.275978
2021-09-09 23:41:54.300797 : Epoch  7, Batch   3397, Loss  0.857745, Average Loss  0.867835, Time  0.358824
2021-09-09 23:41:54.500754 : Epoch  4, Batch    223, Loss  0.566342, Average Loss  0.570533, Time  0.262290
2021-09-09 23:41:56.147793 : Epoch  7, Batch   3398, Loss  0.879307, Average Loss  0.867895, Time  0.425941
2021-09-09 23:41:56.387901 : Epoch  4, Batch    224, Loss  0.563218, Average Loss  0.570463, Time  0.272060
2021-09-09 23:41:58.020804 : Epoch  7, Batch   3399, Loss  0.869823, Average Loss  0.868058, Time  0.453073
2021-09-09 23:41:58.289070 : Epoch  4, Batch    225, Loss  0.579088, Average Loss  0.570506, Time  0.258750
2021-09-09 23:41:59.816782 : Epoch  7, Batch   3400, Loss  0.876231, Average Loss  0.868118, Time  0.355979
2021-09-09 23:42:00.201119 : Epoch  4, Batch    226, Loss  0.566297, Average Loss  0.570487, Time  0.264921
2021-09-09 23:42:01.613776 : Epoch  7, Batch   3401, Loss  0.862429, Average Loss  0.868176, Time  0.355479
2021-09-09 23:42:02.088905 : Epoch  4, Batch    227, Loss  0.562759, Average Loss  0.570461, Time  0.258307
2021-09-09 23:42:03.434826 : Epoch  7, Batch   3402, Loss  0.874895, Average Loss  0.868133, Time  0.377423
2021-09-09 23:42:03.954596 : Epoch  4, Batch    228, Loss  0.566543, Average Loss  0.570413, Time  0.260884
2021-09-09 23:42:05.342784 : Epoch  7, Batch   3403, Loss  0.865790, Average Loss  0.868078, Time  0.451797
2021-09-09 23:42:05.825961 : Epoch  4, Batch    229, Loss  0.558280, Average Loss  0.570268, Time  0.271134
2021-09-09 23:42:07.200785 : Epoch  7, Batch   3404, Loss  0.880842, Average Loss  0.868071, Time  0.410331
2021-09-09 23:42:07.706967 : Epoch  4, Batch    230, Loss  0.569341, Average Loss  0.570267, Time  0.272808
2021-09-09 23:42:09.004782 : Epoch  7, Batch   3405, Loss  0.872075, Average Loss  0.867986, Time  0.356262
2021-09-09 23:42:09.594896 : Epoch  4, Batch    231, Loss  0.557396, Average Loss  0.570128, Time  0.261568
2021-09-09 23:42:10.816793 : Epoch  7, Batch   3406, Loss  0.862664, Average Loss  0.867836, Time  0.357111
2021-09-09 23:42:11.506954 : Epoch  4, Batch    232, Loss  0.573633, Average Loss  0.570082, Time  0.258160
2021-09-09 23:42:12.702258 : Epoch  7, Batch   3407, Loss  0.885821, Average Loss  0.867952, Time  0.416828
2021-09-09 23:42:13.406050 : Epoch  4, Batch    233, Loss  0.558491, Average Loss  0.570010, Time  0.258444
2021-09-09 23:42:14.661790 : Epoch  7, Batch   3408, Loss  0.896634, Average Loss  0.868116, Time  0.450374
2021-09-09 23:42:15.336099 : Epoch  4, Batch    234, Loss  0.564928, Average Loss  0.569967, Time  0.257720
2021-09-09 23:42:16.530782 : Epoch  7, Batch   3409, Loss  0.868824, Average Loss  0.868165, Time  0.409641
2021-09-09 23:42:17.251786 : Epoch  4, Batch    235, Loss  0.563003, Average Loss  0.569919, Time  0.258720
2021-09-09 23:42:18.353133 : Epoch  7, Batch   3410, Loss  0.859654, Average Loss  0.868039, Time  0.358175
2021-09-09 23:42:19.151945 : Epoch  4, Batch    236, Loss  0.561638, Average Loss  0.569841, Time  0.258524
2021-09-09 23:42:20.151806 : Epoch  7, Batch   3411, Loss  0.890912, Average Loss  0.868160, Time  0.357933
2021-09-09 23:42:21.052979 : Epoch  4, Batch    237, Loss  0.561497, Average Loss  0.569830, Time  0.258305
2021-09-09 23:42:22.047800 : Epoch  7, Batch   3412, Loss  0.873318, Average Loss  0.868114, Time  0.429955
2021-09-09 23:42:22.965887 : Epoch  4, Batch    238, Loss  0.559445, Average Loss  0.569774, Time  0.262816
2021-09-09 23:42:23.948790 : Epoch  7, Batch   3413, Loss  0.869513, Average Loss  0.868039, Time  0.453616
2021-09-09 23:42:24.861973 : Epoch  4, Batch    239, Loss  0.560521, Average Loss  0.569746, Time  0.264878
2021-09-09 23:42:25.754992 : Epoch  7, Batch   3414, Loss  0.874677, Average Loss  0.868119, Time  0.359785
2021-09-09 23:42:27.572801 : Epoch  7, Batch   3415, Loss  0.878590, Average Loss  0.868269, Time  0.359050
2021-09-09 23:42:29.393166 : Epoch  7, Batch   3416, Loss  0.875038, Average Loss  0.868314, Time  0.366517
2021-09-09 23:42:31.291786 : Epoch  7, Batch   3417, Loss  0.882566, Average Loss  0.868500, Time  0.454053
2021-09-09 23:42:33.124782 : Epoch  7, Batch   3418, Loss  0.907946, Average Loss  0.868453, Time  0.385670
2021-09-09 23:42:34.938098 : Epoch  7, Batch   3419, Loss  0.834861, Average Loss  0.868420, Time  0.357820
2021-09-09 23:42:36.804774 : Epoch  7, Batch   3420, Loss  0.880537, Average Loss  0.868369, Time  0.409105
2021-09-09 23:42:38.687301 : Epoch  7, Batch   3421, Loss  0.870780, Average Loss  0.868478, Time  0.455456
2021-09-09 23:42:40.512774 : Epoch  7, Batch   3422, Loss  0.865068, Average Loss  0.868402, Time  0.368347
2021-09-09 23:42:42.306779 : Epoch  7, Batch   3423, Loss  0.887997, Average Loss  0.868413, Time  0.364487
2021-09-09 23:42:44.127789 : Epoch  7, Batch   3424, Loss  0.865945, Average Loss  0.868347, Time  0.367182
2021-09-09 23:42:46.033934 : Epoch  7, Batch   3425, Loss  0.879522, Average Loss  0.868537, Time  0.462769
2021-09-09 23:42:47.921118 : Epoch  7, Batch   3426, Loss  0.846195, Average Loss  0.868665, Time  0.449798
2021-09-09 23:42:49.723105 : Epoch  7, Batch   3427, Loss  0.834125, Average Loss  0.868458, Time  0.363738
2021-09-09 23:42:51.510786 : Epoch  7, Batch   3428, Loss  0.862084, Average Loss  0.868422, Time  0.356826
2021-09-09 23:42:53.336782 : Epoch  7, Batch   3429, Loss  0.848071, Average Loss  0.868255, Time  0.401757
2021-09-09 23:42:55.210768 : Epoch  7, Batch   3430, Loss  0.853946, Average Loss  0.868178, Time  0.458473
2021-09-09 23:42:57.035955 : Epoch  7, Batch   3431, Loss  0.853909, Average Loss  0.868005, Time  0.368478
2021-09-09 23:42:58.837121 : Epoch  7, Batch   3432, Loss  0.889562, Average Loss  0.868141, Time  0.357356
2021-09-09 23:43:00.661777 : Epoch  7, Batch   3433, Loss  0.867880, Average Loss  0.868087, Time  0.375340
2021-09-09 23:43:02.573956 : Epoch  7, Batch   3434, Loss  0.852020, Average Loss  0.867873, Time  0.469845
2021-09-09 23:43:34.698749 : CheckPoint: Validation Loss  0.00023179, Best Loss  0.00023105
2021-09-09 23:43:36.615772 : Epoch  4, Batch    240, Loss  0.566021, Average Loss  0.569724, Time  0.268139
2021-09-09 23:43:38.543893 : Epoch  4, Batch    241, Loss  0.559537, Average Loss  0.569665, Time  0.262437
2021-09-09 23:43:40.449856 : Epoch  4, Batch    242, Loss  0.578939, Average Loss  0.569660, Time  0.273355
2021-09-09 23:43:42.350073 : Epoch  4, Batch    243, Loss  0.558935, Average Loss  0.569593, Time  0.266438
2021-09-09 23:43:44.248839 : Epoch  4, Batch    244, Loss  0.559650, Average Loss  0.569565, Time  0.264491
2021-09-09 23:43:46.158170 : Epoch  4, Batch    245, Loss  0.564719, Average Loss  0.569483, Time  0.258717
2021-09-09 23:43:48.028257 : Epoch  4, Batch    246, Loss  0.557616, Average Loss  0.569421, Time  0.261120
2021-09-09 23:43:49.893882 : Epoch  4, Batch    247, Loss  0.561660, Average Loss  0.569376, Time  0.258327
2021-09-09 23:43:51.774931 : Epoch  4, Batch    248, Loss  0.571399, Average Loss  0.569369, Time  0.258723
2021-09-09 23:43:53.667659 : Epoch  4, Batch    249, Loss  0.558970, Average Loss  0.569291, Time  0.266992
2021-09-09 23:43:55.546797 : Epoch  4, Batch    250, Loss  0.575553, Average Loss  0.569305, Time  0.264953
2021-09-09 23:43:57.470685 : Epoch  4, Batch    251, Loss  0.576777, Average Loss  0.569377, Time  0.258128
2021-09-09 23:43:59.387950 : Epoch  4, Batch    252, Loss  0.564060, Average Loss  0.569342, Time  0.258679
2021-09-09 23:44:01.296920 : Epoch  4, Batch    253, Loss  0.569261, Average Loss  0.569252, Time  0.261971
2021-09-09 23:44:03.197785 : Epoch  4, Batch    254, Loss  0.549875, Average Loss  0.569138, Time  0.266045
2021-09-09 23:44:05.083824 : Epoch  4, Batch    255, Loss  0.570469, Average Loss  0.569135, Time  0.258503
2021-09-09 23:44:06.999078 : Epoch  4, Batch    256, Loss  0.561780, Average Loss  0.569088, Time  0.271254
2021-09-09 23:44:08.903094 : Epoch  4, Batch    257, Loss  0.557527, Average Loss  0.569000, Time  0.262603
2021-09-09 23:44:10.811761 : Epoch  4, Batch    258, Loss  0.573012, Average Loss  0.569012, Time  0.263070
2021-09-09 23:44:12.723786 : Epoch  4, Batch    259, Loss  0.549118, Average Loss  0.568890, Time  0.261869
2021-09-09 23:44:14.605948 : Epoch  4, Batch    260, Loss  0.558454, Average Loss  0.568814, Time  0.257985
2021-09-09 23:44:16.482821 : Epoch  4, Batch    261, Loss  0.557040, Average Loss  0.568770, Time  0.258448
2021-09-09 23:44:18.403807 : Epoch  4, Batch    262, Loss  0.573172, Average Loss  0.568768, Time  0.273390
2021-09-09 23:44:20.276846 : Epoch  4, Batch    263, Loss  0.548476, Average Loss  0.568694, Time  0.261572
2021-09-09 23:44:22.151916 : Epoch  4, Batch    264, Loss  0.559472, Average Loss  0.568664, Time  0.264681
2021-09-09 23:44:24.037457 : Epoch  4, Batch    265, Loss  0.559618, Average Loss  0.568526, Time  0.259344
2021-09-09 23:44:25.919591 : Epoch  4, Batch    266, Loss  0.565897, Average Loss  0.568480, Time  0.258693
2021-09-09 23:44:27.823803 : Epoch  4, Batch    267, Loss  0.564378, Average Loss  0.568409, Time  0.263935
2021-09-09 23:44:29.730089 : Epoch  4, Batch    268, Loss  0.585096, Average Loss  0.568441, Time  0.261155
2021-09-09 23:44:31.631825 : Epoch  4, Batch    269, Loss  0.560284, Average Loss  0.568394, Time  0.258602
2021-09-09 23:44:33.538781 : Epoch  4, Batch    270, Loss  0.576881, Average Loss  0.568401, Time  0.260941
2021-09-09 23:44:35.478074 : Epoch  4, Batch    271, Loss  0.554118, Average Loss  0.568304, Time  0.258030
2021-09-09 23:44:37.377927 : Epoch  4, Batch    272, Loss  0.578180, Average Loss  0.568303, Time  0.258883
2021-09-09 23:44:39.323858 : Epoch  4, Batch    273, Loss  0.558571, Average Loss  0.568148, Time  0.271184
2021-09-09 23:44:41.220765 : Epoch  4, Batch    274, Loss  0.572400, Average Loss  0.568080, Time  0.263024
2021-09-09 23:44:43.113145 : Epoch  4, Batch    275, Loss  0.567007, Average Loss  0.568073, Time  0.258389
2021-09-09 23:44:44.988827 : Epoch  4, Batch    276, Loss  0.566914, Average Loss  0.568053, Time  0.262501
2021-09-09 23:44:46.901958 : Epoch  4, Batch    277, Loss  0.559141, Average Loss  0.567958, Time  0.264587
2021-09-09 23:44:48.819795 : Epoch  4, Batch    278, Loss  0.560690, Average Loss  0.567859, Time  0.273144
2021-09-09 23:44:50.727885 : Epoch  4, Batch    279, Loss  0.571136, Average Loss  0.567846, Time  0.261660
2021-09-09 23:44:52.646177 : Epoch  4, Batch    280, Loss  0.563467, Average Loss  0.567856, Time  0.264150
2021-09-09 23:44:54.549083 : Epoch  4, Batch    281, Loss  0.561601, Average Loss  0.567825, Time  0.261737
2021-09-09 23:44:56.434774 : Epoch  4, Batch    282, Loss  0.563831, Average Loss  0.567856, Time  0.257950
2021-09-09 23:44:58.324822 : Epoch  4, Batch    283, Loss  0.573735, Average Loss  0.567897, Time  0.262710
2021-09-09 23:45:00.220227 : Epoch  4, Batch    284, Loss  0.565627, Average Loss  0.567817, Time  0.258204
2021-09-09 23:45:02.099980 : Epoch  4, Batch    285, Loss  0.581289, Average Loss  0.567918, Time  0.267782
2021-09-09 23:45:03.999782 : Epoch  4, Batch    286, Loss  0.567051, Average Loss  0.567964, Time  0.264419
2021-09-09 23:45:05.908087 : Epoch  4, Batch    287, Loss  0.565732, Average Loss  0.567933, Time  0.257983
2021-09-09 23:45:07.790125 : Epoch  4, Batch    288, Loss  0.573782, Average Loss  0.567934, Time  0.258552
2021-09-09 23:45:09.680891 : Epoch  4, Batch    289, Loss  0.556167, Average Loss  0.567860, Time  0.259085
2021-09-09 23:45:11.581895 : Epoch  4, Batch    290, Loss  0.576648, Average Loss  0.567849, Time  0.261655
2021-09-09 23:45:13.479983 : Epoch  4, Batch    291, Loss  0.560709, Average Loss  0.567832, Time  0.267045
2021-09-09 23:45:15.395963 : Epoch  4, Batch    292, Loss  0.546744, Average Loss  0.567732, Time  0.261073
2021-09-09 23:45:17.286057 : Epoch  4, Batch    293, Loss  0.558611, Average Loss  0.567660, Time  0.258377
2021-09-09 23:45:19.158083 : Epoch  4, Batch    294, Loss  0.576524, Average Loss  0.567721, Time  0.263963
2021-09-09 23:45:21.062501 : Epoch  4, Batch    295, Loss  0.572842, Average Loss  0.567765, Time  0.258376
2021-09-09 23:45:22.979791 : Epoch  4, Batch    296, Loss  0.565557, Average Loss  0.567741, Time  0.268800
2021-09-09 23:45:24.883907 : Epoch  4, Batch    297, Loss  0.575676, Average Loss  0.567774, Time  0.265314
2021-09-09 23:45:26.773429 : Epoch  4, Batch    298, Loss  0.571456, Average Loss  0.567768, Time  0.258153
2021-09-09 23:45:28.661875 : Epoch  4, Batch    299, Loss  0.569928, Average Loss  0.567794, Time  0.259909
2021-09-09 23:45:30.563775 : Epoch  4, Batch    300, Loss  0.563071, Average Loss  0.567725, Time  0.258736
2021-09-09 23:45:32.450783 : Epoch  4, Batch    301, Loss  0.560480, Average Loss  0.567695, Time  0.260072
2021-09-09 23:45:34.329957 : Epoch  4, Batch    302, Loss  0.551409, Average Loss  0.567602, Time  0.260940
2021-09-09 23:45:36.232100 : Epoch  4, Batch    303, Loss  0.565563, Average Loss  0.567513, Time  0.270410
2021-09-09 23:45:38.140841 : Epoch  4, Batch    304, Loss  0.565861, Average Loss  0.567458, Time  0.267724
2021-09-09 23:45:40.055852 : Epoch  4, Batch    305, Loss  0.560125, Average Loss  0.567484, Time  0.258531
2021-09-09 23:45:41.945088 : Epoch  4, Batch    306, Loss  0.565438, Average Loss  0.567453, Time  0.258368
2021-09-09 23:45:43.821920 : Epoch  4, Batch    307, Loss  0.549407, Average Loss  0.567380, Time  0.263056
2021-09-09 23:45:45.689081 : Epoch  4, Batch    308, Loss  0.562869, Average Loss  0.567349, Time  0.258087
2021-09-09 23:45:47.576792 : Epoch  4, Batch    309, Loss  0.561835, Average Loss  0.567319, Time  0.262028
2021-09-09 23:45:51.553124 : Epoch  4, Batch    310, Loss  0.570925, Average Loss  0.567350, Time  0.270614
2021-09-09 23:45:53.451280 : Epoch  4, Batch    311, Loss  0.576854, Average Loss  0.567321, Time  0.262710
2021-09-09 23:45:55.331822 : Epoch  4, Batch    312, Loss  0.564141, Average Loss  0.567337, Time  0.258324
2021-09-09 23:45:57.270082 : Epoch  4, Batch    313, Loss  0.570563, Average Loss  0.567319, Time  0.267095
2021-09-09 23:45:59.171126 : Epoch  4, Batch    314, Loss  0.564845, Average Loss  0.567188, Time  0.262770
2021-09-09 23:46:01.062841 : Epoch  4, Batch    315, Loss  0.573439, Average Loss  0.567192, Time  0.270196
2021-09-09 23:46:02.951789 : Epoch  4, Batch    316, Loss  0.558573, Average Loss  0.567081, Time  0.265492
2021-09-09 23:46:04.852832 : Epoch  4, Batch    317, Loss  0.561311, Average Loss  0.567014, Time  0.267241
2021-09-09 23:46:06.725839 : Epoch  4, Batch    318, Loss  0.559731, Average Loss  0.566936, Time  0.261165
2021-09-09 23:46:08.624083 : Epoch  4, Batch    319, Loss  0.560438, Average Loss  0.566861, Time  0.262980
2021-09-09 23:46:10.515202 : Epoch  4, Batch    320, Loss  0.570409, Average Loss  0.566885, Time  0.261935
2021-09-09 23:46:12.489873 : Epoch  4, Batch    321, Loss  0.572746, Average Loss  0.566873, Time  0.258212
2021-09-09 23:46:14.394062 : Epoch  4, Batch    322, Loss  0.569243, Average Loss  0.566835, Time  0.257795
2021-09-09 23:46:16.302133 : Epoch  4, Batch    323, Loss  0.567942, Average Loss  0.566813, Time  0.257873
2021-09-09 23:46:18.215064 : Epoch  4, Batch    324, Loss  0.564680, Average Loss  0.566824, Time  0.259781
2021-09-09 23:46:20.135058 : Epoch  4, Batch    325, Loss  0.581028, Average Loss  0.566819, Time  0.258073
2021-09-09 23:46:22.017804 : Epoch  4, Batch    326, Loss  0.561762, Average Loss  0.566736, Time  0.265881
2021-09-09 23:46:23.904714 : Epoch  4, Batch    327, Loss  0.580253, Average Loss  0.566768, Time  0.259098
2021-09-09 23:46:25.775002 : Epoch  4, Batch    328, Loss  0.571061, Average Loss  0.566773, Time  0.258044
2021-09-09 23:46:27.661087 : Epoch  4, Batch    329, Loss  0.554697, Average Loss  0.566709, Time  0.261776
2021-09-09 23:46:29.578839 : Epoch  4, Batch    330, Loss  0.575581, Average Loss  0.566713, Time  0.262576
2021-09-09 23:46:31.462830 : Epoch  4, Batch    331, Loss  0.565940, Average Loss  0.566733, Time  0.258097
2021-09-09 23:46:33.358933 : Epoch  4, Batch    332, Loss  0.574920, Average Loss  0.566745, Time  0.258766
2021-09-09 23:46:35.271140 : Epoch  4, Batch    333, Loss  0.578738, Average Loss  0.566776, Time  0.271260
2021-09-09 23:46:37.225781 : Epoch  4, Batch    334, Loss  0.547391, Average Loss  0.566695, Time  0.259534
2021-09-09 23:46:39.143043 : Epoch  4, Batch    335, Loss  0.566695, Average Loss  0.566739, Time  0.260333
2021-09-09 23:46:41.052165 : Epoch  4, Batch    336, Loss  0.571963, Average Loss  0.566753, Time  0.257998
2021-09-09 23:46:42.973065 : Epoch  4, Batch    337, Loss  0.559934, Average Loss  0.566664, Time  0.258377
2021-09-09 23:46:44.898847 : Epoch  4, Batch    338, Loss  0.567553, Average Loss  0.566706, Time  0.257612
2021-09-09 23:46:46.823057 : Epoch  4, Batch    339, Loss  0.561017, Average Loss  0.566653, Time  0.257849
2021-09-09 23:47:53.017706 : CheckPoint: Validation Loss  0.00060427, Best Loss  0.00056427
2021-09-09 23:47:54.873866 : Epoch  7, Batch   3435, Loss  0.876508, Average Loss  0.867949, Time  0.408414
2021-09-09 23:47:56.440839 : CheckPoint: Validation Loss  0.00023893, Best Loss  0.00023105
2021-09-09 23:47:56.776766 : Epoch  7, Batch   3436, Loss  0.873417, Average Loss  0.867994, Time  0.460096
2021-09-09 23:47:58.370777 : Epoch  4, Batch    340, Loss  0.565805, Average Loss  0.566713, Time  0.266816
2021-09-09 23:47:58.536764 : Epoch  7, Batch   3437, Loss  0.887761, Average Loss  0.868057, Time  0.356984
2021-09-09 23:48:00.249825 : Epoch  4, Batch    341, Loss  0.558332, Average Loss  0.566694, Time  0.257550
2021-09-09 23:48:00.328779 : Epoch  7, Batch   3438, Loss  0.869782, Average Loss  0.868016, Time  0.356161
2021-09-09 23:48:02.121973 : Epoch  7, Batch   3439, Loss  0.875282, Average Loss  0.868110, Time  0.387038
2021-09-09 23:48:02.221060 : Epoch  4, Batch    342, Loss  0.578503, Average Loss  0.566683, Time  0.261760
2021-09-09 23:48:03.985789 : Epoch  7, Batch   3440, Loss  0.859585, Average Loss  0.868000, Time  0.450110
2021-09-09 23:48:04.115754 : Epoch  4, Batch    343, Loss  0.565298, Average Loss  0.566772, Time  0.263694
2021-09-09 23:48:05.765068 : Epoch  7, Batch   3441, Loss  0.878952, Average Loss  0.868101, Time  0.355070
2021-09-09 23:48:06.065836 : Epoch  4, Batch    344, Loss  0.571306, Average Loss  0.566807, Time  0.271750
2021-09-09 23:48:07.565807 : Epoch  7, Batch   3442, Loss  0.888332, Average Loss  0.868198, Time  0.355506
2021-09-09 23:48:07.985876 : Epoch  4, Batch    345, Loss  0.574754, Average Loss  0.566766, Time  0.265609
2021-09-09 23:48:09.392786 : Epoch  7, Batch   3443, Loss  0.880806, Average Loss  0.868305, Time  0.382543
2021-09-09 23:48:09.896088 : Epoch  4, Batch    346, Loss  0.565907, Average Loss  0.566737, Time  0.258008
2021-09-09 23:48:11.297228 : Epoch  7, Batch   3444, Loss  0.889275, Average Loss  0.868513, Time  0.450857
2021-09-09 23:48:11.792045 : Epoch  4, Batch    347, Loss  0.561578, Average Loss  0.566729, Time  0.265543
2021-09-09 23:48:13.094787 : Epoch  7, Batch   3445, Loss  0.894347, Average Loss  0.868604, Time  0.339772
2021-09-09 23:48:13.672774 : Epoch  4, Batch    348, Loss  0.560829, Average Loss  0.566603, Time  0.261873
2021-09-09 23:48:14.902823 : Epoch  7, Batch   3446, Loss  0.858316, Average Loss  0.868608, Time  0.356161
2021-09-09 23:48:15.575011 : Epoch  4, Batch    349, Loss  0.572082, Average Loss  0.566603, Time  0.260839
2021-09-09 23:48:16.697744 : Epoch  7, Batch   3447, Loss  0.887440, Average Loss  0.868788, Time  0.358256
2021-09-09 23:48:17.477906 : Epoch  4, Batch    350, Loss  0.557656, Average Loss  0.566481, Time  0.264696
2021-09-09 23:48:18.602770 : Epoch  7, Batch   3448, Loss  0.852907, Average Loss  0.868762, Time  0.452483
2021-09-09 23:48:19.375906 : Epoch  4, Batch    351, Loss  0.551455, Average Loss  0.566392, Time  0.265072
2021-09-09 23:48:20.482931 : Epoch  7, Batch   3449, Loss  0.879671, Average Loss  0.868789, Time  0.414958
2021-09-09 23:48:21.271884 : Epoch  4, Batch    352, Loss  0.574308, Average Loss  0.566419, Time  0.264709
2021-09-09 23:48:21.466797 : Epoch  4, Batch    353, Loss  0.581134, Average Loss  0.566494, Time  0.117685
2021-09-09 23:48:22.280786 : Epoch  7, Batch   3450, Loss  0.891050, Average Loss  0.869000, Time  0.355968
2021-09-09 23:48:23.357865 : Epoch  4, Batch    354, Loss  0.578698, Average Loss  0.566510, Time  0.259158
2021-09-09 23:48:24.083871 : Epoch  7, Batch   3451, Loss  0.861832, Average Loss  0.868958, Time  0.355661
2021-09-09 23:48:25.260829 : Epoch  4, Batch    355, Loss  0.595052, Average Loss  0.566570, Time  0.262082
2021-09-09 23:48:25.946764 : Epoch  7, Batch   3452, Loss  0.863914, Average Loss  0.869040, Time  0.418150
2021-09-09 23:48:27.172783 : Epoch  4, Batch    356, Loss  0.590437, Average Loss  0.566680, Time  0.266042
2021-09-09 23:48:27.861788 : Epoch  7, Batch   3453, Loss  0.838668, Average Loss  0.869035, Time  0.455047
2021-09-09 23:48:29.067803 : Epoch  4, Batch    357, Loss  0.599897, Average Loss  0.566898, Time  0.267697
2021-09-09 23:48:29.667820 : Epoch  7, Batch   3454, Loss  0.871203, Average Loss  0.869049, Time  0.357368
2021-09-09 23:48:30.984844 : Epoch  4, Batch    358, Loss  0.597645, Average Loss  0.567062, Time  0.270608
2021-09-09 23:48:31.470787 : Epoch  7, Batch   3455, Loss  0.851950, Average Loss  0.868737, Time  0.358415
2021-09-09 23:48:32.871970 : Epoch  4, Batch    359, Loss  0.618518, Average Loss  0.567278, Time  0.266389
2021-09-09 23:48:33.276767 : Epoch  7, Batch   3456, Loss  0.859882, Average Loss  0.868814, Time  0.366515
2021-09-09 23:48:34.786083 : Epoch  4, Batch    360, Loss  0.590172, Average Loss  0.567438, Time  0.266739
2021-09-09 23:48:35.209078 : Epoch  7, Batch   3457, Loss  0.862893, Average Loss  0.868846, Time  0.449717
2021-09-09 23:48:36.693786 : Epoch  4, Batch    361, Loss  0.592259, Average Loss  0.567510, Time  0.258598
2021-09-09 23:48:37.017784 : Epoch  7, Batch   3458, Loss  0.860609, Average Loss  0.868740, Time  0.375335
2021-09-09 23:48:38.609900 : Epoch  4, Batch    362, Loss  0.582730, Average Loss  0.567586, Time  0.261961
2021-09-09 23:48:38.809091 : Epoch  7, Batch   3459, Loss  0.877155, Average Loss  0.868868, Time  0.368103
2021-09-09 23:48:40.539807 : Epoch  4, Batch    363, Loss  0.580028, Average Loss  0.567649, Time  0.258651
2021-09-09 23:48:40.632776 : Epoch  7, Batch   3460, Loss  0.882736, Average Loss  0.869001, Time  0.368730
2021-09-09 23:48:42.440092 : Epoch  4, Batch    364, Loss  0.585589, Average Loss  0.567723, Time  0.262562
2021-09-09 23:48:42.553772 : Epoch  7, Batch   3461, Loss  0.833338, Average Loss  0.868678, Time  0.447881
2021-09-09 23:48:44.344874 : Epoch  4, Batch    365, Loss  0.569617, Average Loss  0.567730, Time  0.262823
2021-09-09 23:48:44.447213 : Epoch  7, Batch   3462, Loss  0.874894, Average Loss  0.868748, Time  0.463303
2021-09-09 23:48:46.215002 : Epoch  7, Batch   3463, Loss  0.876442, Average Loss  0.868590, Time  0.363451
2021-09-09 23:48:46.264045 : Epoch  4, Batch    366, Loss  0.580163, Average Loss  0.567826, Time  0.263104
2021-09-09 23:48:48.012184 : Epoch  7, Batch   3464, Loss  0.855134, Average Loss  0.868423, Time  0.368748
2021-09-09 23:48:48.182881 : Epoch  4, Batch    367, Loss  0.592539, Average Loss  0.567986, Time  0.271045
2021-09-09 23:48:49.837931 : Epoch  7, Batch   3465, Loss  0.870416, Average Loss  0.868424, Time  0.377510
2021-09-09 23:48:50.123087 : Epoch  4, Batch    368, Loss  0.585260, Average Loss  0.568067, Time  0.263253
2021-09-09 23:48:51.724408 : Epoch  7, Batch   3466, Loss  0.874568, Average Loss  0.868570, Time  0.452799
2021-09-09 23:48:52.014065 : Epoch  4, Batch    369, Loss  0.575241, Average Loss  0.568158, Time  0.258596
2021-09-09 23:48:53.493327 : Epoch  7, Batch   3467, Loss  0.854108, Average Loss  0.868540, Time  0.357697
2021-09-09 23:48:53.907777 : Epoch  4, Batch    370, Loss  0.576829, Average Loss  0.568216, Time  0.258188
2021-09-09 23:48:55.299831 : Epoch  7, Batch   3468, Loss  0.850030, Average Loss  0.868432, Time  0.358583
2021-09-09 23:48:55.821744 : Epoch  4, Batch    371, Loss  0.585604, Average Loss  0.568301, Time  0.260797
2021-09-09 23:48:57.101114 : Epoch  7, Batch   3469, Loss  0.849346, Average Loss  0.868245, Time  0.367635
2021-09-09 23:48:57.759086 : Epoch  4, Batch    372, Loss  0.569631, Average Loss  0.568320, Time  0.264701
2021-09-09 23:48:58.990078 : Epoch  7, Batch   3470, Loss  0.832294, Average Loss  0.868026, Time  0.464243
2021-09-09 23:48:59.679791 : Epoch  4, Batch    373, Loss  0.578456, Average Loss  0.568423, Time  0.264887
2021-09-09 23:49:00.786128 : Epoch  7, Batch   3471, Loss  0.875270, Average Loss  0.867911, Time  0.354932
2021-09-09 23:49:01.594880 : Epoch  4, Batch    374, Loss  0.579306, Average Loss  0.568446, Time  0.262335
2021-09-09 23:49:02.570835 : Epoch  7, Batch   3472, Loss  0.839018, Average Loss  0.867750, Time  0.370188
2021-09-09 23:49:03.506876 : Epoch  4, Batch    375, Loss  0.568769, Average Loss  0.568526, Time  0.258499
2021-09-09 23:49:04.355186 : Epoch  7, Batch   3473, Loss  0.899427, Average Loss  0.867835, Time  0.369766
2021-09-09 23:49:05.406852 : Epoch  4, Batch    376, Loss  0.568030, Average Loss  0.568568, Time  0.269109
2021-09-09 23:49:06.219537 : Epoch  7, Batch   3474, Loss  0.843966, Average Loss  0.867603, Time  0.452437
2021-09-09 23:49:07.323884 : Epoch  4, Batch    377, Loss  0.561828, Average Loss  0.568583, Time  0.262509
2021-09-09 23:49:08.013787 : Epoch  7, Batch   3475, Loss  0.840462, Average Loss  0.867479, Time  0.364054
2021-09-09 23:49:09.224785 : Epoch  4, Batch    378, Loss  0.589517, Average Loss  0.568675, Time  0.261766
2021-09-09 23:49:09.784780 : Epoch  7, Batch   3476, Loss  0.832196, Average Loss  0.867317, Time  0.356826
2021-09-09 23:49:11.139026 : Epoch  4, Batch    379, Loss  0.565590, Average Loss  0.568600, Time  0.268197
2021-09-09 23:49:11.630845 : Epoch  7, Batch   3477, Loss  0.885865, Average Loss  0.867363, Time  0.387373
2021-09-09 23:49:13.033789 : Epoch  4, Batch    380, Loss  0.579431, Average Loss  0.568682, Time  0.259108
2021-09-09 23:49:13.477127 : Epoch  7, Batch   3478, Loss  0.866687, Average Loss  0.867332, Time  0.452098
2021-09-09 23:49:14.937794 : Epoch  4, Batch    381, Loss  0.560585, Average Loss  0.568647, Time  0.259147
2021-09-09 23:49:15.254289 : Epoch  7, Batch   3479, Loss  0.865424, Average Loss  0.867289, Time  0.359020
2021-09-09 23:49:16.843119 : Epoch  4, Batch    382, Loss  0.563179, Average Loss  0.568642, Time  0.258326
2021-09-09 23:49:17.026820 : Epoch  7, Batch   3480, Loss  0.868400, Average Loss  0.867353, Time  0.364580
2021-09-09 23:49:18.743796 : Epoch  4, Batch    383, Loss  0.574632, Average Loss  0.568600, Time  0.262100
2021-09-09 23:49:18.854142 : Epoch  7, Batch   3481, Loss  0.832186, Average Loss  0.867202, Time  0.399058
2021-09-09 23:49:20.681802 : Epoch  4, Batch    384, Loss  0.555253, Average Loss  0.568619, Time  0.268082
2021-09-09 23:49:20.763984 : Epoch  7, Batch   3482, Loss  0.869859, Average Loss  0.867272, Time  0.453114
2021-09-09 23:49:22.598101 : Epoch  4, Batch    385, Loss  0.572133, Average Loss  0.568570, Time  0.266206
2021-09-09 23:49:22.634765 : Epoch  7, Batch   3483, Loss  0.856651, Average Loss  0.867134, Time  0.404436
2021-09-09 23:49:24.397590 : Epoch  7, Batch   3484, Loss  0.838238, Average Loss  0.866926, Time  0.361211
2021-09-09 23:49:24.478586 : Epoch  4, Batch    386, Loss  0.577631, Average Loss  0.568625, Time  0.258405
2021-09-09 23:49:26.199797 : Epoch  7, Batch   3485, Loss  0.882173, Average Loss  0.866899, Time  0.364569
2021-09-09 23:49:26.384755 : Epoch  4, Batch    387, Loss  0.578498, Average Loss  0.568667, Time  0.267918
2021-09-09 23:49:28.066793 : Epoch  7, Batch   3486, Loss  0.837663, Average Loss  0.866788, Time  0.443193
2021-09-09 23:49:28.280093 : Epoch  4, Batch    388, Loss  0.570647, Average Loss  0.568676, Time  0.263936
2021-09-09 23:49:29.994214 : Epoch  7, Batch   3487, Loss  0.877308, Average Loss  0.866907, Time  0.471496
2021-09-09 23:49:30.189825 : Epoch  4, Batch    389, Loss  0.576250, Average Loss  0.568610, Time  0.263985
2021-09-09 23:49:31.778870 : Epoch  7, Batch   3488, Loss  0.873251, Average Loss  0.867002, Time  0.346514
2021-09-09 23:49:32.088844 : Epoch  4, Batch    390, Loss  0.566838, Average Loss  0.568585, Time  0.262051
2021-09-09 23:49:33.545808 : Epoch  7, Batch   3489, Loss  0.840490, Average Loss  0.866865, Time  0.362706
2021-09-09 23:49:33.986082 : Epoch  4, Batch    391, Loss  0.566380, Average Loss  0.568612, Time  0.265506
2021-09-09 23:49:35.339776 : Epoch  7, Batch   3490, Loss  0.872783, Average Loss  0.866903, Time  0.356048
2021-09-09 23:49:35.888807 : Epoch  4, Batch    392, Loss  0.559557, Average Loss  0.568568, Time  0.261244
2021-09-09 23:49:37.252912 : Epoch  7, Batch   3491, Loss  0.873714, Average Loss  0.866944, Time  0.460233
2021-09-09 23:49:37.804079 : Epoch  4, Batch    393, Loss  0.562519, Average Loss  0.568536, Time  0.264335
2021-09-09 23:49:39.136774 : Epoch  7, Batch   3492, Loss  0.864353, Average Loss  0.866948, Time  0.439276
2021-09-09 23:49:39.701864 : Epoch  4, Batch    394, Loss  0.566105, Average Loss  0.568502, Time  0.258719
2021-09-09 23:49:40.932781 : Epoch  7, Batch   3493, Loss  0.859158, Average Loss  0.866934, Time  0.362095
2021-09-09 23:49:41.602773 : Epoch  4, Batch    395, Loss  0.557958, Average Loss  0.568485, Time  0.261316
2021-09-09 23:49:42.730791 : Epoch  7, Batch   3494, Loss  0.872783, Average Loss  0.866970, Time  0.356774
2021-09-09 23:49:43.484092 : Epoch  4, Batch    396, Loss  0.569692, Average Loss  0.568457, Time  0.258490
2021-09-09 23:49:44.595988 : Epoch  7, Batch   3495, Loss  0.863074, Average Loss  0.866884, Time  0.435468
2021-09-09 23:49:45.383092 : Epoch  4, Batch    397, Loss  0.573325, Average Loss  0.568581, Time  0.258055
2021-09-09 23:49:46.482798 : Epoch  7, Batch   3496, Loss  0.850961, Average Loss  0.866744, Time  0.453238
2021-09-09 23:49:47.285106 : Epoch  4, Batch    398, Loss  0.564277, Average Loss  0.568536, Time  0.258214
2021-09-09 23:49:48.284816 : Epoch  7, Batch   3497, Loss  0.860977, Average Loss  0.866630, Time  0.363543
2021-09-09 23:49:49.207832 : Epoch  4, Batch    399, Loss  0.570731, Average Loss  0.568561, Time  0.258476
2021-09-09 23:49:50.086779 : Epoch  7, Batch   3498, Loss  0.874743, Average Loss  0.866790, Time  0.366604
2021-09-09 23:49:51.123087 : Epoch  4, Batch    400, Loss  0.557102, Average Loss  0.568514, Time  0.258424
2021-09-09 23:49:51.882011 : Epoch  7, Batch   3499, Loss  0.815273, Average Loss  0.866522, Time  0.361819
2021-09-09 23:49:53.013082 : Epoch  4, Batch    401, Loss  0.548094, Average Loss  0.568408, Time  0.261746
2021-09-09 23:49:53.832867 : Epoch  7, Batch   3500, Loss  0.882328, Average Loss  0.866671, Time  0.460773
2021-09-09 23:49:54.914778 : Epoch  4, Batch    402, Loss  0.576441, Average Loss  0.568395, Time  0.268662
2021-09-09 23:49:55.716779 : Epoch  7, Batch   3501, Loss  0.867054, Average Loss  0.866571, Time  0.442529
2021-09-09 23:49:56.797824 : Epoch  4, Batch    403, Loss  0.574736, Average Loss  0.568432, Time  0.258342
2021-09-09 23:49:57.484861 : Epoch  7, Batch   3502, Loss  0.851063, Average Loss  0.866652, Time  0.357233
2021-09-09 23:49:58.717703 : Epoch  4, Batch    404, Loss  0.555997, Average Loss  0.568357, Time  0.269881
2021-09-09 23:49:59.273790 : Epoch  7, Batch   3503, Loss  0.855461, Average Loss  0.866516, Time  0.357428
2021-09-09 23:50:00.628093 : Epoch  4, Batch    405, Loss  0.560061, Average Loss  0.568305, Time  0.276003
2021-09-09 23:50:01.150785 : Epoch  7, Batch   3504, Loss  0.868091, Average Loss  0.866605, Time  0.426537
2021-09-09 23:50:02.537926 : Epoch  4, Batch    406, Loss  0.558791, Average Loss  0.568346, Time  0.259730
2021-09-09 23:50:03.054789 : Epoch  7, Batch   3505, Loss  0.865237, Average Loss  0.866695, Time  0.459466
2021-09-09 23:50:04.423086 : Epoch  4, Batch    407, Loss  0.575667, Average Loss  0.568350, Time  0.264522
2021-09-09 23:50:04.846801 : Epoch  7, Batch   3506, Loss  0.848693, Average Loss  0.866368, Time  0.366632
2021-09-09 23:50:06.350216 : Epoch  4, Batch    408, Loss  0.560686, Average Loss  0.568325, Time  0.268213
2021-09-09 23:50:06.677176 : Epoch  7, Batch   3507, Loss  0.854274, Average Loss  0.866083, Time  0.380489
2021-09-09 23:50:08.278126 : Epoch  4, Batch    409, Loss  0.555370, Average Loss  0.568236, Time  0.265828
2021-09-09 23:50:08.449548 : Epoch  7, Batch   3508, Loss  0.853873, Average Loss  0.866082, Time  0.365883
2021-09-09 23:50:10.187925 : Epoch  4, Batch    410, Loss  0.568907, Average Loss  0.568264, Time  0.266594
2021-09-09 23:50:10.300018 : Epoch  7, Batch   3509, Loss  0.842551, Average Loss  0.865946, Time  0.453849
2021-09-09 23:50:12.096120 : Epoch  7, Batch   3510, Loss  0.856897, Average Loss  0.865891, Time  0.371632
2021-09-09 23:50:13.901791 : Epoch  7, Batch   3511, Loss  0.877460, Average Loss  0.865970, Time  0.360569
2021-09-09 23:50:14.246168 : Epoch  4, Batch    411, Loss  0.573419, Average Loss  0.568240, Time  0.270967
2021-09-09 23:50:15.718408 : Epoch  7, Batch   3512, Loss  0.858778, Average Loss  0.866028, Time  0.397059
2021-09-09 23:50:16.147958 : Epoch  4, Batch    412, Loss  0.564832, Average Loss  0.568220, Time  0.262020
2021-09-09 23:50:17.618641 : Epoch  7, Batch   3513, Loss  0.891595, Average Loss  0.866199, Time  0.457434
2021-09-09 23:50:18.040951 : Epoch  4, Batch    413, Loss  0.561659, Average Loss  0.568166, Time  0.262579
2021-09-09 23:50:19.450564 : Epoch  7, Batch   3514, Loss  0.860305, Average Loss  0.866182, Time  0.371089
2021-09-09 23:50:19.917973 : Epoch  4, Batch    414, Loss  0.563524, Average Loss  0.568156, Time  0.258377
2021-09-09 23:50:21.239244 : Epoch  7, Batch   3515, Loss  0.871675, Average Loss  0.866230, Time  0.358396
2021-09-09 23:50:21.856908 : Epoch  4, Batch    415, Loss  0.563389, Average Loss  0.568140, Time  0.264955
2021-09-09 23:50:23.028928 : Epoch  7, Batch   3516, Loss  0.882505, Average Loss  0.866243, Time  0.369793
2021-09-09 23:50:23.753576 : Epoch  4, Batch    416, Loss  0.570000, Average Loss  0.568131, Time  0.259025
2021-09-09 23:50:24.916791 : Epoch  7, Batch   3517, Loss  0.888553, Average Loss  0.866290, Time  0.455399
2021-09-09 23:50:25.627247 : Epoch  4, Batch    417, Loss  0.570692, Average Loss  0.568086, Time  0.258490
2021-09-09 23:50:26.799353 : Epoch  7, Batch   3518, Loss  0.869994, Average Loss  0.866246, Time  0.449918
2021-09-09 23:50:27.500129 : Epoch  4, Batch    418, Loss  0.554917, Average Loss  0.567995, Time  0.258621
2021-09-09 23:50:28.574785 : Epoch  7, Batch   3519, Loss  0.860515, Average Loss  0.866334, Time  0.360084
2021-09-09 23:50:29.372114 : Epoch  4, Batch    419, Loss  0.553160, Average Loss  0.567923, Time  0.258609
2021-09-09 23:50:30.347780 : Epoch  7, Batch   3520, Loss  0.899494, Average Loss  0.866362, Time  0.366331
2021-09-09 23:50:31.291811 : Epoch  4, Batch    420, Loss  0.567749, Average Loss  0.567917, Time  0.262613
2021-09-09 23:50:32.223994 : Epoch  7, Batch   3521, Loss  0.866342, Average Loss  0.866185, Time  0.429370
2021-09-09 23:50:33.233355 : Epoch  4, Batch    421, Loss  0.563932, Average Loss  0.567903, Time  0.283319
2021-09-09 23:50:34.153836 : Epoch  7, Batch   3522, Loss  0.879352, Average Loss  0.866044, Time  0.518461
2021-09-09 23:50:35.132761 : Epoch  4, Batch    422, Loss  0.571675, Average Loss  0.567922, Time  0.258704
2021-09-09 23:50:35.950788 : Epoch  7, Batch   3523, Loss  0.859192, Average Loss  0.866149, Time  0.359611
2021-09-09 23:50:37.033614 : Epoch  4, Batch    423, Loss  0.561177, Average Loss  0.567896, Time  0.261614
2021-09-09 23:50:37.735802 : Epoch  7, Batch   3524, Loss  0.844333, Average Loss  0.865830, Time  0.362682
2021-09-09 23:50:38.907833 : Epoch  4, Batch    424, Loss  0.562917, Average Loss  0.567895, Time  0.257923
2021-09-09 23:50:39.610785 : Epoch  7, Batch   3525, Loss  0.855830, Average Loss  0.865745, Time  0.394746
2021-09-09 23:50:40.900094 : Epoch  4, Batch    425, Loss  0.573285, Average Loss  0.567866, Time  0.261211
2021-09-09 23:50:41.496124 : Epoch  7, Batch   3526, Loss  0.872576, Average Loss  0.865807, Time  0.465835
2021-09-09 23:50:42.811877 : Epoch  4, Batch    426, Loss  0.551064, Average Loss  0.567790, Time  0.265203
2021-09-09 23:50:43.296788 : Epoch  7, Batch   3527, Loss  0.898405, Average Loss  0.866164, Time  0.366714
2021-09-09 23:50:44.715873 : Epoch  4, Batch    427, Loss  0.559176, Average Loss  0.567772, Time  0.262561
2021-09-09 23:50:45.079780 : Epoch  7, Batch   3528, Loss  0.849005, Average Loss  0.866107, Time  0.361193
2021-09-09 23:50:46.608505 : Epoch  4, Batch    428, Loss  0.563444, Average Loss  0.567756, Time  0.264045
2021-09-09 23:50:46.871269 : Epoch  7, Batch   3529, Loss  0.858808, Average Loss  0.865969, Time  0.371770
2021-09-09 23:50:48.585106 : Epoch  4, Batch    429, Loss  0.568718, Average Loss  0.567808, Time  0.258036
2021-09-09 23:50:48.730142 : Epoch  7, Batch   3530, Loss  0.869079, Average Loss  0.865914, Time  0.451907
2021-09-09 23:50:50.474085 : Epoch  4, Batch    430, Loss  0.556805, Average Loss  0.567746, Time  0.267917
2021-09-09 23:50:50.520755 : Epoch  7, Batch   3531, Loss  0.886258, Average Loss  0.865974, Time  0.355208
2021-09-09 23:50:52.286768 : Epoch  7, Batch   3532, Loss  0.863319, Average Loss  0.865953, Time  0.358322
2021-09-09 23:50:52.418091 : Epoch  4, Batch    431, Loss  0.558308, Average Loss  0.567750, Time  0.273431
2021-09-09 23:50:54.150196 : Epoch  7, Batch   3533, Loss  0.863768, Average Loss  0.866034, Time  0.377939
2021-09-09 23:50:54.316090 : Epoch  4, Batch    432, Loss  0.564166, Average Loss  0.567703, Time  0.262499
2021-09-09 23:50:56.056769 : Epoch  7, Batch   3534, Loss  0.878144, Average Loss  0.866037, Time  0.453950
2021-09-09 23:50:56.258012 : Epoch  4, Batch    433, Loss  0.550837, Average Loss  0.567665, Time  0.304350
2021-09-09 23:50:58.180720 : Epoch  4, Batch    434, Loss  0.554754, Average Loss  0.567614, Time  0.265517
2021-09-09 23:51:00.085082 : Epoch  4, Batch    435, Loss  0.571987, Average Loss  0.567659, Time  0.262001
2021-09-09 23:51:02.029951 : Epoch  4, Batch    436, Loss  0.563834, Average Loss  0.567670, Time  0.264760
2021-09-09 23:51:03.956956 : Epoch  4, Batch    437, Loss  0.546596, Average Loss  0.567595, Time  0.268185
2021-09-09 23:51:05.912104 : Epoch  4, Batch    438, Loss  0.568762, Average Loss  0.567642, Time  0.265415
2021-09-09 23:51:07.805842 : Epoch  4, Batch    439, Loss  0.575970, Average Loss  0.567719, Time  0.264813
2021-09-09 23:52:17.908738 : CheckPoint: Validation Loss  0.00023262, Best Loss  0.00023105
2021-09-09 23:52:19.974889 : Epoch  4, Batch    440, Loss  0.568803, Average Loss  0.567733, Time  0.264135
2021-09-09 23:52:21.903821 : Epoch  4, Batch    441, Loss  0.563748, Average Loss  0.567754, Time  0.259454
2021-09-09 23:52:23.820801 : Epoch  4, Batch    442, Loss  0.560852, Average Loss  0.567663, Time  0.258504
2021-09-09 23:52:25.713896 : Epoch  4, Batch    443, Loss  0.574048, Average Loss  0.567739, Time  0.264657
2021-09-09 23:52:27.608000 : Epoch  4, Batch    444, Loss  0.559924, Average Loss  0.567740, Time  0.258337
2021-09-09 23:52:29.481047 : Epoch  4, Batch    445, Loss  0.566111, Average Loss  0.567747, Time  0.259965
2021-09-09 23:52:31.386790 : Epoch  4, Batch    446, Loss  0.557059, Average Loss  0.567745, Time  0.261039
2021-09-09 23:52:33.259083 : Epoch  4, Batch    447, Loss  0.557586, Average Loss  0.567724, Time  0.261600
2021-09-09 23:52:35.140905 : Epoch  4, Batch    448, Loss  0.556687, Average Loss  0.567651, Time  0.258322
2021-09-09 23:52:37.024860 : Epoch  4, Batch    449, Loss  0.565908, Average Loss  0.567685, Time  0.258131
2021-09-09 23:52:38.908060 : Epoch  4, Batch    450, Loss  0.561366, Average Loss  0.567614, Time  0.258171
2021-09-09 23:52:40.800862 : Epoch  4, Batch    451, Loss  0.566368, Average Loss  0.567562, Time  0.262743
2021-09-09 23:52:42.687894 : Epoch  4, Batch    452, Loss  0.539500, Average Loss  0.567440, Time  0.262736
2021-09-09 23:52:44.605568 : Epoch  4, Batch    453, Loss  0.565044, Average Loss  0.567418, Time  0.261051
2021-09-09 23:52:46.495770 : Epoch  4, Batch    454, Loss  0.561391, Average Loss  0.567476, Time  0.261379
2021-09-09 23:52:48.379157 : Epoch  4, Batch    455, Loss  0.564239, Average Loss  0.567445, Time  0.259573
2021-09-09 23:52:50.290771 : Epoch  4, Batch    456, Loss  0.568582, Average Loss  0.567479, Time  0.263891
2021-09-09 23:52:52.172817 : Epoch  4, Batch    457, Loss  0.570244, Average Loss  0.567542, Time  0.257977
2021-09-09 23:52:54.082929 : Epoch  4, Batch    458, Loss  0.570175, Average Loss  0.567528, Time  0.265318
2021-09-09 23:52:55.999082 : Epoch  4, Batch    459, Loss  0.566636, Average Loss  0.567616, Time  0.257982
2021-09-09 23:52:57.886810 : Epoch  4, Batch    460, Loss  0.565708, Average Loss  0.567652, Time  0.261833
2021-09-09 23:52:59.764083 : Epoch  4, Batch    461, Loss  0.572205, Average Loss  0.567728, Time  0.258117
2021-09-09 23:53:01.654107 : Epoch  4, Batch    462, Loss  0.560802, Average Loss  0.567666, Time  0.258436
2021-09-09 23:53:03.561810 : Epoch  4, Batch    463, Loss  0.575835, Average Loss  0.567803, Time  0.259219
2021-09-09 23:53:05.449812 : Epoch  4, Batch    464, Loss  0.562663, Average Loss  0.567819, Time  0.263998
2021-09-09 23:53:07.338689 : Epoch  4, Batch    465, Loss  0.563861, Average Loss  0.567840, Time  0.259365
2021-09-09 23:53:09.213813 : Epoch  4, Batch    466, Loss  0.563407, Average Loss  0.567828, Time  0.260161
2021-09-09 23:53:11.103837 : Epoch  4, Batch    467, Loss  0.555689, Average Loss  0.567784, Time  0.258650
2021-09-09 23:53:13.007797 : Epoch  4, Batch    468, Loss  0.563880, Average Loss  0.567678, Time  0.264756
2021-09-09 23:53:14.941886 : Epoch  4, Batch    469, Loss  0.558247, Average Loss  0.567668, Time  0.262569
2021-09-09 23:53:16.839399 : Epoch  4, Batch    470, Loss  0.555653, Average Loss  0.567562, Time  0.258992
2021-09-09 23:53:18.752916 : Epoch  4, Batch    471, Loss  0.561940, Average Loss  0.567601, Time  0.258605
2021-09-09 23:53:20.644157 : Epoch  4, Batch    472, Loss  0.552676, Average Loss  0.567473, Time  0.260209
2021-09-09 23:53:22.521092 : Epoch  4, Batch    473, Loss  0.568397, Average Loss  0.567523, Time  0.258187
2021-09-09 23:53:24.411108 : Epoch  4, Batch    474, Loss  0.554104, Average Loss  0.567431, Time  0.258839
2021-09-09 23:53:26.294855 : Epoch  4, Batch    475, Loss  0.579684, Average Loss  0.567494, Time  0.258101
2021-09-09 23:53:28.199095 : Epoch  4, Batch    476, Loss  0.566050, Average Loss  0.567490, Time  0.258238
2021-09-09 23:53:30.080091 : Epoch  4, Batch    477, Loss  0.567732, Average Loss  0.567533, Time  0.261821
2021-09-09 23:53:31.972851 : Epoch  4, Batch    478, Loss  0.554907, Average Loss  0.567504, Time  0.265145
2021-09-09 23:53:33.870776 : Epoch  4, Batch    479, Loss  0.562196, Average Loss  0.567459, Time  0.258284
2021-09-09 23:53:35.764944 : Epoch  4, Batch    480, Loss  0.549427, Average Loss  0.567389, Time  0.258442
2021-09-09 23:53:37.655933 : Epoch  4, Batch    481, Loss  0.560771, Average Loss  0.567385, Time  0.261643
2021-09-09 23:53:39.542912 : Epoch  4, Batch    482, Loss  0.562299, Average Loss  0.567377, Time  0.268399
2021-09-09 23:53:41.436112 : Epoch  4, Batch    483, Loss  0.570638, Average Loss  0.567362, Time  0.258274
2021-09-09 23:53:43.304866 : Epoch  4, Batch    484, Loss  0.563600, Average Loss  0.567352, Time  0.258134
2021-09-09 23:53:45.190964 : Epoch  4, Batch    485, Loss  0.560814, Average Loss  0.567249, Time  0.264401
2021-09-09 23:53:47.065095 : Epoch  4, Batch    486, Loss  0.561505, Average Loss  0.567222, Time  0.268544
2021-09-09 23:53:48.931795 : Epoch  4, Batch    487, Loss  0.557778, Average Loss  0.567182, Time  0.259611
2021-09-09 23:53:50.846805 : Epoch  4, Batch    488, Loss  0.556128, Average Loss  0.567094, Time  0.260548
2021-09-09 23:53:52.730109 : Epoch  4, Batch    489, Loss  0.574598, Average Loss  0.567186, Time  0.258641
2021-09-09 23:53:54.638885 : Epoch  4, Batch    490, Loss  0.576420, Average Loss  0.567185, Time  0.266115
2021-09-09 23:53:56.510941 : Epoch  4, Batch    491, Loss  0.563122, Average Loss  0.567197, Time  0.268126
2021-09-09 23:53:58.388278 : Epoch  4, Batch    492, Loss  0.570645, Average Loss  0.567316, Time  0.259965
2021-09-09 23:54:00.252084 : Epoch  4, Batch    493, Loss  0.567964, Average Loss  0.567363, Time  0.258407
2021-09-09 23:54:02.141705 : Epoch  4, Batch    494, Loss  0.568890, Average Loss  0.567325, Time  0.260382
2021-09-09 23:54:04.015065 : Epoch  4, Batch    495, Loss  0.582993, Average Loss  0.567376, Time  0.258016
2021-09-09 23:54:05.909363 : Epoch  4, Batch    496, Loss  0.541487, Average Loss  0.567255, Time  0.258290
2021-09-09 23:54:07.799793 : Epoch  4, Batch    497, Loss  0.561966, Average Loss  0.567187, Time  0.261950
2021-09-09 23:54:09.677935 : Epoch  4, Batch    498, Loss  0.562460, Average Loss  0.567142, Time  0.262571
2021-09-09 23:54:11.572811 : Epoch  4, Batch    499, Loss  0.555743, Average Loss  0.567071, Time  0.261979
2021-09-09 23:54:13.466776 : Epoch  4, Batch    500, Loss  0.557090, Average Loss  0.567041, Time  0.259449
2021-09-09 23:54:15.365830 : Epoch  4, Batch    501, Loss  0.560821, Average Loss  0.567043, Time  0.258255
2021-09-09 23:54:17.251097 : Epoch  4, Batch    502, Loss  0.565925, Average Loss  0.567115, Time  0.263882
2021-09-09 23:54:19.185104 : Epoch  4, Batch    503, Loss  0.558531, Average Loss  0.567080, Time  0.274925
2021-09-09 23:54:21.063091 : Epoch  4, Batch    504, Loss  0.560672, Average Loss  0.567054, Time  0.261960
2021-09-09 23:54:22.964388 : Epoch  4, Batch    505, Loss  0.559530, Average Loss  0.567051, Time  0.259057
2021-09-09 23:54:24.852798 : Epoch  4, Batch    506, Loss  0.550827, Average Loss  0.566978, Time  0.260871
2021-09-09 23:54:26.733075 : Epoch  4, Batch    507, Loss  0.555989, Average Loss  0.567011, Time  0.258255
2021-09-09 23:54:28.641102 : Epoch  4, Batch    508, Loss  0.565986, Average Loss  0.567027, Time  0.270803
2021-09-09 23:54:30.551857 : Epoch  4, Batch    509, Loss  0.551675, Average Loss  0.566976, Time  0.272429
2021-09-09 23:54:34.598919 : Epoch  4, Batch    510, Loss  0.554786, Average Loss  0.566895, Time  0.280319
2021-09-09 23:54:36.490812 : Epoch  4, Batch    511, Loss  0.562572, Average Loss  0.566824, Time  0.264079
2021-09-09 23:54:38.395005 : Epoch  4, Batch    512, Loss  0.556642, Average Loss  0.566786, Time  0.260279
2021-09-09 23:54:40.296877 : Epoch  4, Batch    513, Loss  0.553087, Average Loss  0.566699, Time  0.258333
2021-09-09 23:54:42.196099 : Epoch  4, Batch    514, Loss  0.561301, Average Loss  0.566681, Time  0.258147
2021-09-09 23:54:44.068959 : Epoch  4, Batch    515, Loss  0.562934, Average Loss  0.566629, Time  0.262053
2021-09-09 23:54:45.970900 : Epoch  4, Batch    516, Loss  0.546767, Average Loss  0.566569, Time  0.261999
2021-09-09 23:54:47.864843 : Epoch  4, Batch    517, Loss  0.557123, Average Loss  0.566549, Time  0.260954
2021-09-09 23:54:49.770155 : Epoch  4, Batch    518, Loss  0.555489, Average Loss  0.566527, Time  0.258694
2021-09-09 23:54:51.680090 : Epoch  4, Batch    519, Loss  0.561061, Average Loss  0.566530, Time  0.270903
2021-09-09 23:54:53.575915 : Epoch  4, Batch    520, Loss  0.554745, Average Loss  0.566452, Time  0.260118
2021-09-09 23:54:55.484570 : Epoch  4, Batch    521, Loss  0.547057, Average Loss  0.566324, Time  0.258596
2021-09-09 23:54:57.394800 : Epoch  4, Batch    522, Loss  0.569131, Average Loss  0.566323, Time  0.267684
2021-09-09 23:54:59.293781 : Epoch  4, Batch    523, Loss  0.549519, Average Loss  0.566231, Time  0.261435
2021-09-09 23:55:01.178833 : Epoch  4, Batch    524, Loss  0.569218, Average Loss  0.566254, Time  0.263797
2021-09-09 23:55:03.038323 : Epoch  4, Batch    525, Loss  0.558625, Average Loss  0.566142, Time  0.260676
2021-09-09 23:55:04.936879 : Epoch  4, Batch    526, Loss  0.552602, Average Loss  0.566096, Time  0.266958
2021-09-09 23:55:06.829956 : Epoch  4, Batch    527, Loss  0.554554, Average Loss  0.565967, Time  0.259913
2021-09-09 23:55:08.724843 : Epoch  4, Batch    528, Loss  0.554693, Average Loss  0.565886, Time  0.258659
2021-09-09 23:55:10.610111 : Epoch  4, Batch    529, Loss  0.546912, Average Loss  0.565847, Time  0.264479
2021-09-09 23:55:12.505139 : Epoch  4, Batch    530, Loss  0.553108, Average Loss  0.565734, Time  0.263976
2021-09-09 23:55:14.396078 : Epoch  4, Batch    531, Loss  0.562573, Average Loss  0.565717, Time  0.258638
2021-09-09 23:55:16.297783 : Epoch  4, Batch    532, Loss  0.557145, Average Loss  0.565629, Time  0.258389
2021-09-09 23:55:18.190841 : Epoch  4, Batch    533, Loss  0.565815, Average Loss  0.565564, Time  0.261161
2021-09-09 23:55:20.086924 : Epoch  4, Batch    534, Loss  0.553314, Average Loss  0.565594, Time  0.258347
2021-09-09 23:55:21.956470 : Epoch  4, Batch    535, Loss  0.555274, Average Loss  0.565536, Time  0.261554
2021-09-09 23:55:23.838818 : Epoch  4, Batch    536, Loss  0.541144, Average Loss  0.565382, Time  0.258435
2021-09-09 23:55:25.750897 : Epoch  4, Batch    537, Loss  0.556968, Average Loss  0.565368, Time  0.262585
2021-09-09 23:55:27.659015 : Epoch  4, Batch    538, Loss  0.573930, Average Loss  0.565399, Time  0.258230
2021-09-09 23:55:29.550924 : Epoch  4, Batch    539, Loss  0.559414, Average Loss  0.565391, Time  0.263999
2021-09-09 23:55:47.145731 : CheckPoint: Validation Loss  0.00062024, Best Loss  0.00056427
2021-09-09 23:55:49.033794 : Epoch  7, Batch   3535, Loss  0.873087, Average Loss  0.865988, Time  0.434514
2021-09-09 23:55:50.932793 : Epoch  7, Batch   3536, Loss  0.858071, Average Loss  0.865890, Time  0.443470
2021-09-09 23:55:52.742784 : Epoch  7, Batch   3537, Loss  0.841019, Average Loss  0.865829, Time  0.354711
2021-09-09 23:55:54.559786 : Epoch  7, Batch   3538, Loss  0.878542, Average Loss  0.865963, Time  0.358294
2021-09-09 23:55:56.392778 : Epoch  7, Batch   3539, Loss  0.879496, Average Loss  0.865997, Time  0.374812
2021-09-09 23:55:58.306793 : Epoch  7, Batch   3540, Loss  0.878101, Average Loss  0.865997, Time  0.454136
2021-09-09 23:56:00.187767 : Epoch  7, Batch   3541, Loss  0.876146, Average Loss  0.866006, Time  0.429038
2021-09-09 23:56:01.998783 : Epoch  7, Batch   3542, Loss  0.852636, Average Loss  0.865801, Time  0.357810
2021-09-09 23:56:03.808770 : Epoch  7, Batch   3543, Loss  0.872296, Average Loss  0.865875, Time  0.359050
2021-09-09 23:56:05.655786 : Epoch  7, Batch   3544, Loss  0.883760, Average Loss  0.865855, Time  0.409674
2021-09-09 23:56:07.559765 : Epoch  7, Batch   3545, Loss  0.845051, Average Loss  0.865769, Time  0.451200
2021-09-09 23:56:09.354781 : Epoch  7, Batch   3546, Loss  0.853255, Average Loss  0.865656, Time  0.347949
2021-09-09 23:56:11.169764 : Epoch  7, Batch   3547, Loss  0.865856, Average Loss  0.865830, Time  0.359993
2021-09-09 23:56:12.989863 : Epoch  7, Batch   3548, Loss  0.868375, Average Loss  0.865791, Time  0.356845
2021-09-09 23:56:14.876826 : Epoch  7, Batch   3549, Loss  0.905171, Average Loss  0.865910, Time  0.455922
2021-09-09 23:56:16.755090 : Epoch  7, Batch   3550, Loss  0.854315, Average Loss  0.865939, Time  0.420260
2021-09-09 23:56:18.564792 : Epoch  7, Batch   3551, Loss  0.899001, Average Loss  0.866084, Time  0.357254
2021-09-09 23:56:20.416781 : Epoch  7, Batch   3552, Loss  0.869140, Average Loss  0.866126, Time  0.356485
2021-09-09 23:56:22.271087 : Epoch  7, Batch   3553, Loss  0.853186, Average Loss  0.866032, Time  0.394488
2021-09-09 23:56:24.159770 : Epoch  7, Batch   3554, Loss  0.894447, Average Loss  0.866185, Time  0.452887
2021-09-09 23:56:25.958824 : Epoch  7, Batch   3555, Loss  0.852874, Average Loss  0.866211, Time  0.348544
2021-09-09 23:56:27.782113 : Epoch  7, Batch   3556, Loss  0.843335, Average Loss  0.866191, Time  0.356192
2021-09-09 23:56:29.609187 : Epoch  7, Batch   3557, Loss  0.834476, Average Loss  0.866042, Time  0.361500
2021-09-09 23:56:31.526096 : Epoch  7, Batch   3558, Loss  0.863739, Average Loss  0.866030, Time  0.453314
2021-09-09 23:56:33.434111 : Epoch  7, Batch   3559, Loss  0.886306, Average Loss  0.866035, Time  0.449919
2021-09-09 23:56:35.246137 : Epoch  7, Batch   3560, Loss  0.893732, Average Loss  0.866043, Time  0.357327
2021-09-09 23:56:37.056789 : Epoch  7, Batch   3561, Loss  0.876833, Average Loss  0.866295, Time  0.357935
2021-09-09 23:56:38.870786 : Epoch  7, Batch   3562, Loss  0.866749, Average Loss  0.866303, Time  0.365743
2021-09-09 23:56:39.956754 : CheckPoint: Validation Loss  0.00022768, Best Loss  0.00022768
2021-09-09 23:56:40.066625 : Best Model Updated
2021-09-09 23:56:40.756758 : Epoch  7, Batch   3563, Loss  0.874940, Average Loss  0.866375, Time  0.451265
2021-09-09 23:56:42.571790 : Epoch  7, Batch   3564, Loss  0.847937, Average Loss  0.866410, Time  0.377259
2021-09-09 23:56:42.883858 : Epoch  4, Batch    540, Loss  0.559912, Average Loss  0.565362, Time  0.267781
2021-09-09 23:56:44.384779 : Epoch  7, Batch   3565, Loss  0.871828, Average Loss  0.866359, Time  0.357105
2021-09-09 23:56:44.791866 : Epoch  4, Batch    541, Loss  0.562841, Average Loss  0.565384, Time  0.258880
2021-09-09 23:56:46.206788 : Epoch  7, Batch   3566, Loss  0.872819, Average Loss  0.866275, Time  0.360640
2021-09-09 23:56:46.683781 : Epoch  4, Batch    542, Loss  0.567214, Average Loss  0.565328, Time  0.258386
2021-09-09 23:56:48.095793 : Epoch  7, Batch   3567, Loss  0.857938, Average Loss  0.866328, Time  0.443232
2021-09-09 23:56:48.600782 : Epoch  4, Batch    543, Loss  0.566623, Average Loss  0.565335, Time  0.262510
2021-09-09 23:56:49.986217 : Epoch  7, Batch   3568, Loss  0.849723, Average Loss  0.866264, Time  0.452821
2021-09-09 23:56:50.483969 : Epoch  4, Batch    544, Loss  0.554868, Average Loss  0.565252, Time  0.260133
2021-09-09 23:56:51.780793 : Epoch  7, Batch   3569, Loss  0.854200, Average Loss  0.866206, Time  0.356468
2021-09-09 23:56:52.345836 : Epoch  4, Batch    545, Loss  0.555415, Average Loss  0.565156, Time  0.261853
2021-09-09 23:56:53.584766 : Epoch  7, Batch   3570, Loss  0.865572, Average Loss  0.866154, Time  0.357290
2021-09-09 23:56:54.234822 : Epoch  4, Batch    546, Loss  0.554280, Average Loss  0.565098, Time  0.260622
2021-09-09 23:56:55.383375 : Epoch  7, Batch   3571, Loss  0.841317, Average Loss  0.865835, Time  0.378901
2021-09-09 23:56:56.100152 : Epoch  4, Batch    547, Loss  0.576295, Average Loss  0.565171, Time  0.261725
2021-09-09 23:56:57.284116 : Epoch  7, Batch   3572, Loss  0.847666, Average Loss  0.865722, Time  0.474741
2021-09-09 23:56:57.992108 : Epoch  4, Batch    548, Loss  0.554970, Average Loss  0.565142, Time  0.265532
2021-09-09 23:56:59.060531 : Epoch  7, Batch   3573, Loss  0.874827, Average Loss  0.865873, Time  0.365112
2021-09-09 23:56:59.892084 : Epoch  4, Batch    549, Loss  0.548377, Average Loss  0.565023, Time  0.258635
2021-09-09 23:57:00.857776 : Epoch  7, Batch   3574, Loss  0.888909, Average Loss  0.866111, Time  0.364374
2021-09-09 23:57:01.789097 : Epoch  4, Batch    550, Loss  0.560067, Average Loss  0.565035, Time  0.264635
2021-09-09 23:57:02.667788 : Epoch  7, Batch   3575, Loss  0.865070, Average Loss  0.866137, Time  0.360677
2021-09-09 23:57:03.714802 : Epoch  4, Batch    551, Loss  0.551664, Average Loss  0.565037, Time  0.264474
2021-09-09 23:57:04.569893 : Epoch  7, Batch   3576, Loss  0.884995, Average Loss  0.866159, Time  0.463475
2021-09-09 23:57:05.602343 : Epoch  4, Batch    552, Loss  0.557321, Average Loss  0.564952, Time  0.258262
2021-09-09 23:57:06.343116 : Epoch  7, Batch   3577, Loss  0.853085, Average Loss  0.866121, Time  0.347227
2021-09-09 23:57:07.485900 : Epoch  4, Batch    553, Loss  0.563525, Average Loss  0.564864, Time  0.262031
2021-09-09 23:57:08.171140 : Epoch  7, Batch   3578, Loss  0.858894, Average Loss  0.866229, Time  0.369522
2021-09-09 23:57:09.366008 : Epoch  4, Batch    554, Loss  0.565590, Average Loss  0.564798, Time  0.258584
2021-09-09 23:57:09.992050 : Epoch  7, Batch   3579, Loss  0.892429, Average Loss  0.866446, Time  0.382402
2021-09-09 23:57:11.279861 : Epoch  4, Batch    555, Loss  0.560584, Average Loss  0.564626, Time  0.262147
2021-09-09 23:57:11.863782 : Epoch  7, Batch   3580, Loss  0.874304, Average Loss  0.866543, Time  0.450381
2021-09-09 23:57:13.171903 : Epoch  4, Batch    556, Loss  0.569837, Average Loss  0.564523, Time  0.258507
2021-09-09 23:57:13.801866 : Epoch  7, Batch   3581, Loss  0.850615, Average Loss  0.866409, Time  0.444725
2021-09-09 23:57:15.059774 : Epoch  4, Batch    557, Loss  0.555534, Average Loss  0.564301, Time  0.258168
2021-09-09 23:57:15.616797 : Epoch  7, Batch   3582, Loss  0.848930, Average Loss  0.866312, Time  0.372985
2021-09-09 23:57:16.970230 : Epoch  4, Batch    558, Loss  0.544833, Average Loss  0.564037, Time  0.269675
2021-09-09 23:57:17.441194 : Epoch  7, Batch   3583, Loss  0.851392, Average Loss  0.866267, Time  0.368026
2021-09-09 23:57:18.889124 : Epoch  4, Batch    559, Loss  0.564396, Average Loss  0.563766, Time  0.258138
2021-09-09 23:57:19.269117 : Epoch  7, Batch   3584, Loss  0.865909, Average Loss  0.866233, Time  0.413188
2021-09-09 23:57:20.802884 : Epoch  4, Batch    560, Loss  0.558370, Average Loss  0.563607, Time  0.258489
2021-09-09 23:57:21.151759 : Epoch  7, Batch   3585, Loss  0.858718, Average Loss  0.866248, Time  0.459975
2021-09-09 23:57:22.705103 : Epoch  4, Batch    561, Loss  0.565766, Average Loss  0.563475, Time  0.261256
2021-09-09 23:57:22.954767 : Epoch  7, Batch   3586, Loss  0.879515, Average Loss  0.866254, Time  0.343860
2021-09-09 23:57:24.572138 : Epoch  4, Batch    562, Loss  0.552193, Average Loss  0.563322, Time  0.258316
2021-09-09 23:57:24.731782 : Epoch  7, Batch   3587, Loss  0.866085, Average Loss  0.866122, Time  0.356368
2021-09-09 23:57:26.459082 : Epoch  4, Batch    563, Loss  0.562102, Average Loss  0.563232, Time  0.258447
2021-09-09 23:57:26.534804 : Epoch  7, Batch   3588, Loss  0.848271, Average Loss  0.866123, Time  0.357618
2021-09-09 23:57:28.383799 : Epoch  4, Batch    564, Loss  0.569594, Average Loss  0.563152, Time  0.258060
2021-09-09 23:57:28.469168 : Epoch  7, Batch   3589, Loss  0.866222, Average Loss  0.866245, Time  0.453581
2021-09-09 23:57:30.396074 : Epoch  4, Batch    565, Loss  0.562648, Average Loss  0.563118, Time  0.270752
2021-09-09 23:57:30.431994 : Epoch  7, Batch   3590, Loss  0.884821, Average Loss  0.866399, Time  0.450795
2021-09-09 23:57:32.267140 : Epoch  7, Batch   3591, Loss  0.860489, Average Loss  0.866438, Time  0.360719
2021-09-09 23:57:32.305809 : Epoch  4, Batch    566, Loss  0.558756, Average Loss  0.563011, Time  0.261236
2021-09-09 23:57:34.125790 : Epoch  7, Batch   3592, Loss  0.890891, Average Loss  0.866592, Time  0.358010
2021-09-09 23:57:34.259899 : Epoch  4, Batch    567, Loss  0.559744, Average Loss  0.562847, Time  0.258627
2021-09-09 23:57:35.927027 : Epoch  7, Batch   3593, Loss  0.846755, Average Loss  0.866591, Time  0.355463
2021-09-09 23:57:36.184047 : Epoch  4, Batch    568, Loss  0.553749, Average Loss  0.562689, Time  0.260468
2021-09-09 23:57:37.849874 : Epoch  7, Batch   3594, Loss  0.888681, Average Loss  0.866632, Time  0.449406
2021-09-09 23:57:38.096781 : Epoch  4, Batch    569, Loss  0.557725, Average Loss  0.562601, Time  0.257878
2021-09-09 23:57:39.702905 : Epoch  7, Batch   3595, Loss  0.853095, Average Loss  0.866581, Time  0.409694
2021-09-09 23:57:39.986794 : Epoch  4, Batch    570, Loss  0.575961, Average Loss  0.562597, Time  0.258074
2021-09-09 23:57:41.503962 : Epoch  7, Batch   3596, Loss  0.848573, Average Loss  0.866451, Time  0.355880
2021-09-09 23:57:41.884779 : Epoch  4, Batch    571, Loss  0.571586, Average Loss  0.562527, Time  0.258129
2021-09-09 23:57:43.299856 : Epoch  7, Batch   3597, Loss  0.866373, Average Loss  0.866494, Time  0.356974
2021-09-09 23:57:43.796799 : Epoch  4, Batch    572, Loss  0.563416, Average Loss  0.562496, Time  0.258231
2021-09-09 23:57:45.188092 : Epoch  7, Batch   3598, Loss  0.853728, Average Loss  0.866366, Time  0.427398
2021-09-09 23:57:45.698848 : Epoch  4, Batch    573, Loss  0.557481, Average Loss  0.562391, Time  0.258117
2021-09-09 23:57:47.096766 : Epoch  7, Batch   3599, Loss  0.839268, Average Loss  0.866213, Time  0.453728
2021-09-09 23:57:47.600878 : Epoch  4, Batch    574, Loss  0.558448, Average Loss  0.562287, Time  0.258137
2021-09-09 23:57:48.962770 : Epoch  7, Batch   3600, Loss  0.866541, Average Loss  0.866165, Time  0.399528
2021-09-09 23:57:49.522077 : Epoch  4, Batch    575, Loss  0.560985, Average Loss  0.562248, Time  0.257946
2021-09-09 23:57:50.787785 : Epoch  7, Batch   3601, Loss  0.876767, Average Loss  0.866237, Time  0.356022
2021-09-09 23:57:51.466807 : Epoch  4, Batch    576, Loss  0.555872, Average Loss  0.562187, Time  0.257990
2021-09-09 23:57:52.596786 : Epoch  7, Batch   3602, Loss  0.882496, Average Loss  0.866275, Time  0.355536
2021-09-09 23:57:53.396815 : Epoch  4, Batch    577, Loss  0.550311, Average Loss  0.562129, Time  0.258036
2021-09-09 23:57:54.475778 : Epoch  7, Batch   3603, Loss  0.854752, Average Loss  0.866220, Time  0.418154
2021-09-09 23:57:55.290785 : Epoch  4, Batch    578, Loss  0.551310, Average Loss  0.561938, Time  0.257908
2021-09-09 23:57:56.393930 : Epoch  7, Batch   3604, Loss  0.904428, Average Loss  0.866337, Time  0.458349
2021-09-09 23:57:57.188788 : Epoch  4, Batch    579, Loss  0.570429, Average Loss  0.561963, Time  0.258330
2021-09-09 23:57:58.277769 : Epoch  7, Batch   3605, Loss  0.862893, Average Loss  0.866292, Time  0.424201
2021-09-09 23:57:59.083925 : Epoch  4, Batch    580, Loss  0.573534, Average Loss  0.561933, Time  0.257963
2021-09-09 23:58:00.066783 : Epoch  7, Batch   3606, Loss  0.869972, Average Loss  0.866328, Time  0.364013
2021-09-09 23:58:00.998793 : Epoch  4, Batch    581, Loss  0.565650, Average Loss  0.561958, Time  0.258221
2021-09-09 23:58:01.832779 : Epoch  7, Batch   3607, Loss  0.880345, Average Loss  0.866301, Time  0.360294
2021-09-09 23:58:02.906800 : Epoch  4, Batch    582, Loss  0.563634, Average Loss  0.561961, Time  0.258270
2021-09-09 23:58:03.713784 : Epoch  7, Batch   3608, Loss  0.867428, Average Loss  0.866155, Time  0.437221
2021-09-09 23:58:04.822890 : Epoch  4, Batch    583, Loss  0.563096, Average Loss  0.561903, Time  0.257979
2021-09-09 23:58:05.649065 : Epoch  7, Batch   3609, Loss  0.868593, Average Loss  0.866154, Time  0.458251
2021-09-09 23:58:06.730896 : Epoch  4, Batch    584, Loss  0.557999, Average Loss  0.561917, Time  0.258136
2021-09-09 23:58:07.518765 : Epoch  7, Batch   3610, Loss  0.834667, Average Loss  0.866029, Time  0.420995
2021-09-09 23:58:08.631068 : Epoch  4, Batch    585, Loss  0.548085, Average Loss  0.561797, Time  0.258207
2021-09-09 23:58:09.353046 : Epoch  7, Batch   3611, Loss  0.874100, Average Loss  0.865945, Time  0.372854
2021-09-09 23:58:10.536861 : Epoch  4, Batch    586, Loss  0.564550, Average Loss  0.561731, Time  0.258416
2021-09-09 23:58:11.183775 : Epoch  7, Batch   3612, Loss  0.863218, Average Loss  0.865894, Time  0.361733
2021-09-09 23:58:12.458832 : Epoch  4, Batch    587, Loss  0.553145, Average Loss  0.561604, Time  0.260395
2021-09-09 23:58:13.038772 : Epoch  7, Batch   3613, Loss  0.878637, Average Loss  0.865940, Time  0.418646
2021-09-09 23:58:14.357867 : Epoch  4, Batch    588, Loss  0.558654, Average Loss  0.561544, Time  0.257884
2021-09-09 23:58:14.926783 : Epoch  7, Batch   3614, Loss  0.872137, Average Loss  0.865927, Time  0.461623
2021-09-09 23:58:16.263793 : Epoch  4, Batch    589, Loss  0.556834, Average Loss  0.561447, Time  0.257988
2021-09-09 23:58:16.724781 : Epoch  7, Batch   3615, Loss  0.855620, Average Loss  0.865812, Time  0.356265
2021-09-09 23:58:18.166954 : Epoch  4, Batch    590, Loss  0.562082, Average Loss  0.561424, Time  0.258444
2021-09-09 23:58:18.522894 : Epoch  7, Batch   3616, Loss  0.873952, Average Loss  0.865807, Time  0.359829
2021-09-09 23:58:20.085010 : Epoch  4, Batch    591, Loss  0.554746, Average Loss  0.561365, Time  0.258217
2021-09-09 23:58:20.315777 : Epoch  7, Batch   3617, Loss  0.859405, Average Loss  0.865691, Time  0.372431
2021-09-09 23:58:22.010953 : Epoch  4, Batch    592, Loss  0.555119, Average Loss  0.561343, Time  0.258782
2021-09-09 23:58:22.187770 : Epoch  7, Batch   3618, Loss  0.839161, Average Loss  0.865347, Time  0.452251
2021-09-09 23:58:23.900092 : Epoch  4, Batch    593, Loss  0.567734, Average Loss  0.561369, Time  0.258050
2021-09-09 23:58:23.958455 : Epoch  7, Batch   3619, Loss  0.847198, Average Loss  0.865409, Time  0.358181
2021-09-09 23:58:25.760786 : Epoch  7, Batch   3620, Loss  0.833563, Average Loss  0.865174, Time  0.356301
2021-09-09 23:58:25.808784 : Epoch  4, Batch    594, Loss  0.555144, Average Loss  0.561314, Time  0.259020
2021-09-09 23:58:27.555776 : Epoch  7, Batch   3621, Loss  0.861082, Average Loss  0.865125, Time  0.370404
2021-09-09 23:58:27.718090 : Epoch  4, Batch    595, Loss  0.565902, Average Loss  0.561354, Time  0.260543
2021-09-09 23:58:29.419791 : Epoch  7, Batch   3622, Loss  0.879180, Average Loss  0.865196, Time  0.451291
2021-09-09 23:58:29.593054 : Epoch  4, Batch    596, Loss  0.552269, Average Loss  0.561267, Time  0.257810
2021-09-09 23:58:31.206132 : Epoch  7, Batch   3623, Loss  0.866359, Average Loss  0.865088, Time  0.356997
2021-09-09 23:58:31.501046 : Epoch  4, Batch    597, Loss  0.552258, Average Loss  0.561162, Time  0.258055
2021-09-09 23:58:33.013793 : Epoch  7, Batch   3624, Loss  0.852543, Average Loss  0.865021, Time  0.357265
2021-09-09 23:58:33.397775 : Epoch  4, Batch    598, Loss  0.552238, Average Loss  0.561102, Time  0.260220
2021-09-09 23:58:34.837767 : Epoch  7, Batch   3625, Loss  0.926385, Average Loss  0.865255, Time  0.372196
2021-09-09 23:58:35.300053 : Epoch  4, Batch    599, Loss  0.547332, Average Loss  0.560985, Time  0.257850
2021-09-09 23:58:36.733082 : Epoch  7, Batch   3626, Loss  0.893410, Average Loss  0.865491, Time  0.449516
2021-09-09 23:58:37.195057 : Epoch  4, Batch    600, Loss  0.565342, Average Loss  0.561026, Time  0.258115
2021-09-09 23:58:38.522832 : Epoch  7, Batch   3627, Loss  0.851971, Average Loss  0.865580, Time  0.334033
2021-09-09 23:58:39.098778 : Epoch  4, Batch    601, Loss  0.558349, Average Loss  0.561077, Time  0.258025
2021-09-09 23:58:40.325786 : Epoch  7, Batch   3628, Loss  0.873482, Average Loss  0.865637, Time  0.355880
2021-09-09 23:58:41.015899 : Epoch  4, Batch    602, Loss  0.570588, Average Loss  0.561048, Time  0.260708
2021-09-09 23:58:42.134112 : Epoch  7, Batch   3629, Loss  0.883232, Average Loss  0.865813, Time  0.357176
2021-09-09 23:58:42.906071 : Epoch  4, Batch    603, Loss  0.575679, Average Loss  0.561052, Time  0.258407
2021-09-09 23:58:44.043793 : Epoch  7, Batch   3630, Loss  0.850559, Average Loss  0.865796, Time  0.451751
2021-09-09 23:58:44.826879 : Epoch  4, Batch    604, Loss  0.547971, Average Loss  0.561012, Time  0.257973
2021-09-09 23:58:45.938798 : Epoch  7, Batch   3631, Loss  0.880986, Average Loss  0.865932, Time  0.426653
2021-09-09 23:58:46.733915 : Epoch  4, Batch    605, Loss  0.552548, Average Loss  0.560975, Time  0.266587
2021-09-09 23:58:47.751779 : Epoch  7, Batch   3632, Loss  0.888217, Average Loss  0.865925, Time  0.361001
2021-09-09 23:58:48.629838 : Epoch  4, Batch    606, Loss  0.556947, Average Loss  0.560966, Time  0.258233
2021-09-09 23:58:49.564813 : Epoch  7, Batch   3633, Loss  0.876418, Average Loss  0.865967, Time  0.357316
2021-09-09 23:58:50.553921 : Epoch  4, Batch    607, Loss  0.572295, Average Loss  0.560949, Time  0.258035
2021-09-09 23:58:51.419791 : Epoch  7, Batch   3634, Loss  0.839093, Average Loss  0.865903, Time  0.402027
2021-09-09 23:58:52.459594 : Epoch  4, Batch    608, Loss  0.560050, Average Loss  0.560945, Time  0.261206
2021-09-09 23:58:54.371093 : Epoch  4, Batch    609, Loss  0.555206, Average Loss  0.560945, Time  0.261905
2021-09-09 23:58:58.538168 : Epoch  4, Batch    610, Loss  0.552976, Average Loss  0.560865, Time  0.268883
2021-09-09 23:59:00.447061 : Epoch  4, Batch    611, Loss  0.563332, Average Loss  0.560815, Time  0.258153
2021-09-09 23:59:02.323824 : Epoch  4, Batch    612, Loss  0.552205, Average Loss  0.560751, Time  0.258874
2021-09-09 23:59:04.220092 : Epoch  4, Batch    613, Loss  0.562909, Average Loss  0.560758, Time  0.262648
2021-09-09 23:59:06.126795 : Epoch  4, Batch    614, Loss  0.558600, Average Loss  0.560733, Time  0.270093
2021-09-09 23:59:08.013800 : Epoch  4, Batch    615, Loss  0.562880, Average Loss  0.560731, Time  0.257937
2021-09-09 23:59:09.884816 : Epoch  4, Batch    616, Loss  0.559947, Average Loss  0.560680, Time  0.258034
2021-09-09 23:59:11.767142 : Epoch  4, Batch    617, Loss  0.546182, Average Loss  0.560558, Time  0.258332
2021-09-09 23:59:13.646123 : Epoch  4, Batch    618, Loss  0.560676, Average Loss  0.560587, Time  0.258364
2021-09-09 23:59:15.516100 : Epoch  4, Batch    619, Loss  0.557754, Average Loss  0.560609, Time  0.260045
2021-09-09 23:59:17.408063 : Epoch  4, Batch    620, Loss  0.565066, Average Loss  0.560596, Time  0.258378
2021-09-09 23:59:19.293997 : Epoch  4, Batch    621, Loss  0.565513, Average Loss  0.560604, Time  0.258314
2021-09-09 23:59:21.172821 : Epoch  4, Batch    622, Loss  0.552208, Average Loss  0.560507, Time  0.262660
2021-09-09 23:59:23.060890 : Epoch  4, Batch    623, Loss  0.561567, Average Loss  0.560509, Time  0.258687
2021-09-09 23:59:24.939133 : Epoch  4, Batch    624, Loss  0.553569, Average Loss  0.560462, Time  0.257977
2021-09-09 23:59:26.853065 : Epoch  4, Batch    625, Loss  0.562148, Average Loss  0.560406, Time  0.258265
2021-09-09 23:59:28.749897 : Epoch  4, Batch    626, Loss  0.554115, Average Loss  0.560421, Time  0.261597
2021-09-09 23:59:30.630859 : Epoch  4, Batch    627, Loss  0.558435, Average Loss  0.560418, Time  0.261302
2021-09-09 23:59:32.523070 : Epoch  4, Batch    628, Loss  0.563117, Average Loss  0.560416, Time  0.268376
2021-09-09 23:59:34.426834 : Epoch  4, Batch    629, Loss  0.567923, Average Loss  0.560412, Time  0.258003
2021-09-09 23:59:36.322763 : Epoch  4, Batch    630, Loss  0.545417, Average Loss  0.560355, Time  0.258248
2021-09-09 23:59:38.213707 : Epoch  4, Batch    631, Loss  0.559911, Average Loss  0.560363, Time  0.265226
2021-09-09 23:59:40.088786 : Epoch  4, Batch    632, Loss  0.552622, Average Loss  0.560305, Time  0.258428
2021-09-09 23:59:41.961081 : Epoch  4, Batch    633, Loss  0.556030, Average Loss  0.560331, Time  0.261752
2021-09-09 23:59:43.840087 : Epoch  4, Batch    634, Loss  0.558051, Average Loss  0.560348, Time  0.258733
2021-09-09 23:59:45.739086 : Epoch  4, Batch    635, Loss  0.554206, Average Loss  0.560259, Time  0.269938
2021-09-09 23:59:47.640797 : Epoch  4, Batch    636, Loss  0.553483, Average Loss  0.560207, Time  0.258164
2021-09-09 23:59:49.532095 : Epoch  4, Batch    637, Loss  0.551788, Average Loss  0.560233, Time  0.263304
2021-09-09 23:59:51.478763 : Epoch  4, Batch    638, Loss  0.549342, Average Loss  0.560136, Time  0.258122
2021-09-09 23:59:55.532886 : Epoch  4, Batch    639, Loss  0.549439, Average Loss  0.560003, Time  0.268803
2021-09-10 00:01:05.019748 : CheckPoint: Validation Loss  0.00023757, Best Loss  0.00022768
2021-09-10 00:01:06.902933 : Epoch  4, Batch    640, Loss  0.568229, Average Loss  0.560001, Time  0.264233
2021-09-10 00:01:08.777769 : Epoch  4, Batch    641, Loss  0.555227, Average Loss  0.559958, Time  0.258010
2021-09-10 00:01:10.649190 : Epoch  4, Batch    642, Loss  0.573288, Average Loss  0.560020, Time  0.257956
2021-09-10 00:01:12.516762 : Epoch  4, Batch    643, Loss  0.563636, Average Loss  0.559968, Time  0.257951
2021-09-10 00:01:14.391841 : Epoch  4, Batch    644, Loss  0.559294, Average Loss  0.559965, Time  0.257760
2021-09-10 00:01:16.263913 : Epoch  4, Batch    645, Loss  0.541722, Average Loss  0.559843, Time  0.259371
2021-09-10 00:01:18.204043 : Epoch  4, Batch    646, Loss  0.558390, Average Loss  0.559850, Time  0.257805
2021-09-10 00:01:20.069776 : Epoch  4, Batch    647, Loss  0.556600, Average Loss  0.559845, Time  0.258316
2021-09-10 00:01:21.937039 : Epoch  4, Batch    648, Loss  0.566140, Average Loss  0.559892, Time  0.257862
2021-09-10 00:01:23.803042 : Epoch  4, Batch    649, Loss  0.552853, Average Loss  0.559827, Time  0.257720
2021-09-10 00:01:25.672284 : Epoch  4, Batch    650, Loss  0.548111, Average Loss  0.559760, Time  0.258183
2021-09-10 00:01:27.541051 : Epoch  4, Batch    651, Loss  0.568554, Average Loss  0.559771, Time  0.257783
2021-09-10 00:01:29.421769 : Epoch  4, Batch    652, Loss  0.548287, Average Loss  0.559815, Time  0.258146
2021-09-10 00:01:31.296852 : Epoch  4, Batch    653, Loss  0.563436, Average Loss  0.559807, Time  0.258172
2021-09-10 00:01:33.177876 : Epoch  4, Batch    654, Loss  0.555103, Average Loss  0.559776, Time  0.258178
2021-09-10 00:01:35.048044 : Epoch  4, Batch    655, Loss  0.557001, Average Loss  0.559740, Time  0.258624
2021-09-10 00:01:36.938815 : Epoch  4, Batch    656, Loss  0.536408, Average Loss  0.559579, Time  0.257802
2021-09-10 00:01:38.842063 : Epoch  4, Batch    657, Loss  0.565150, Average Loss  0.559553, Time  0.257953
2021-09-10 00:01:40.739824 : Epoch  4, Batch    658, Loss  0.551607, Average Loss  0.559460, Time  0.262330
2021-09-10 00:01:42.661939 : Epoch  4, Batch    659, Loss  0.565525, Average Loss  0.559455, Time  0.267896
2021-09-10 00:01:44.554834 : Epoch  4, Batch    660, Loss  0.565769, Average Loss  0.559455, Time  0.261506
2021-09-10 00:01:46.447991 : Epoch  4, Batch    661, Loss  0.562514, Average Loss  0.559407, Time  0.268886
2021-09-10 00:01:48.359907 : Epoch  4, Batch    662, Loss  0.552754, Average Loss  0.559367, Time  0.260452
2021-09-10 00:01:50.263790 : Epoch  4, Batch    663, Loss  0.548339, Average Loss  0.559229, Time  0.258878
2021-09-10 00:01:52.149810 : Epoch  4, Batch    664, Loss  0.542019, Average Loss  0.559126, Time  0.258062
2021-09-10 00:01:54.018084 : Epoch  4, Batch    665, Loss  0.552685, Average Loss  0.559070, Time  0.262263
2021-09-10 00:01:55.917909 : Epoch  4, Batch    666, Loss  0.552456, Average Loss  0.559015, Time  0.264912
2021-09-10 00:01:57.808095 : Epoch  4, Batch    667, Loss  0.575534, Average Loss  0.559114, Time  0.263009
2021-09-10 00:01:59.706864 : Epoch  4, Batch    668, Loss  0.556312, Average Loss  0.559077, Time  0.258734
2021-09-10 00:02:01.622246 : Epoch  4, Batch    669, Loss  0.564106, Average Loss  0.559106, Time  0.265051
2021-09-10 00:02:03.518873 : Epoch  4, Batch    670, Loss  0.561347, Average Loss  0.559134, Time  0.266427
2021-09-10 00:02:05.393873 : Epoch  4, Batch    671, Loss  0.553876, Average Loss  0.559094, Time  0.258349
2021-09-10 00:02:07.274879 : Epoch  4, Batch    672, Loss  0.558200, Average Loss  0.559122, Time  0.262557
2021-09-10 00:02:09.161071 : Epoch  4, Batch    673, Loss  0.548878, Average Loss  0.559024, Time  0.260256
2021-09-10 00:02:11.048855 : Epoch  4, Batch    674, Loss  0.561802, Average Loss  0.559063, Time  0.262900
2021-09-10 00:02:12.964092 : Epoch  4, Batch    675, Loss  0.564258, Average Loss  0.558985, Time  0.259168
2021-09-10 00:02:14.864289 : Epoch  4, Batch    676, Loss  0.565655, Average Loss  0.558983, Time  0.259853
2021-09-10 00:02:16.763913 : Epoch  4, Batch    677, Loss  0.561695, Average Loss  0.558953, Time  0.266562
2021-09-10 00:02:18.672886 : Epoch  4, Batch    678, Loss  0.557360, Average Loss  0.558965, Time  0.258095
2021-09-10 00:02:20.582774 : Epoch  4, Batch    679, Loss  0.552934, Average Loss  0.558919, Time  0.262271
2021-09-10 00:02:22.498791 : Epoch  4, Batch    680, Loss  0.554270, Average Loss  0.558943, Time  0.260351
2021-09-10 00:02:24.405807 : Epoch  4, Batch    681, Loss  0.556779, Average Loss  0.558923, Time  0.259454
2021-09-10 00:02:26.294826 : Epoch  4, Batch    682, Loss  0.559584, Average Loss  0.558910, Time  0.258903
2021-09-10 00:02:28.197775 : Epoch  4, Batch    683, Loss  0.536424, Average Loss  0.558739, Time  0.258446
2021-09-10 00:02:30.097781 : Epoch  4, Batch    684, Loss  0.555885, Average Loss  0.558700, Time  0.262822
2021-09-10 00:02:31.984989 : Epoch  4, Batch    685, Loss  0.566906, Average Loss  0.558731, Time  0.260814
2021-09-10 00:02:33.858838 : Epoch  4, Batch    686, Loss  0.575681, Average Loss  0.558802, Time  0.258295
2021-09-10 00:02:35.757082 : Epoch  4, Batch    687, Loss  0.569485, Average Loss  0.558860, Time  0.261846
2021-09-10 00:02:37.654854 : Epoch  4, Batch    688, Loss  0.549101, Average Loss  0.558825, Time  0.263163
2021-09-10 00:02:39.564137 : Epoch  4, Batch    689, Loss  0.568735, Average Loss  0.558796, Time  0.265516
2021-09-10 00:02:41.453936 : Epoch  4, Batch    690, Loss  0.569828, Average Loss  0.558763, Time  0.272034
2021-09-10 00:02:43.359807 : Epoch  4, Batch    691, Loss  0.564436, Average Loss  0.558769, Time  0.263316
2021-09-10 00:02:45.258791 : Epoch  4, Batch    692, Loss  0.563667, Average Loss  0.558734, Time  0.266620
2021-09-10 00:02:47.125867 : Epoch  4, Batch    693, Loss  0.573369, Average Loss  0.558761, Time  0.260653
2021-09-10 00:02:48.996785 : Epoch  4, Batch    694, Loss  0.549865, Average Loss  0.558666, Time  0.257986
2021-09-10 00:02:50.882108 : Epoch  4, Batch    695, Loss  0.558310, Average Loss  0.558543, Time  0.258598
2021-09-10 00:02:52.765885 : Epoch  4, Batch    696, Loss  0.532148, Average Loss  0.558496, Time  0.258136
2021-09-10 00:02:54.695821 : Epoch  4, Batch    697, Loss  0.569773, Average Loss  0.558535, Time  0.258520
2021-09-10 00:02:56.614066 : Epoch  4, Batch    698, Loss  0.555449, Average Loss  0.558500, Time  0.257647
2021-09-10 00:02:58.524789 : Epoch  4, Batch    699, Loss  0.567565, Average Loss  0.558559, Time  0.258035
2021-09-10 00:03:00.444781 : Epoch  4, Batch    700, Loss  0.557373, Average Loss  0.558561, Time  0.258006
2021-09-10 00:03:02.350062 : Epoch  4, Batch    701, Loss  0.541782, Average Loss  0.558465, Time  0.257673
2021-09-10 00:03:04.265840 : Epoch  4, Batch    702, Loss  0.557865, Average Loss  0.558425, Time  0.257992
2021-09-10 00:03:06.215860 : Epoch  4, Batch    703, Loss  0.557852, Average Loss  0.558422, Time  0.260650
2021-09-10 00:03:08.139781 : Epoch  4, Batch    704, Loss  0.556230, Average Loss  0.558400, Time  0.258192
2021-09-10 00:03:10.048895 : Epoch  4, Batch    705, Loss  0.564233, Average Loss  0.558423, Time  0.257708
2021-09-10 00:03:11.959751 : Epoch  4, Batch    706, Loss  0.555074, Average Loss  0.558444, Time  0.257798
2021-09-10 00:03:13.849134 : Epoch  4, Batch    707, Loss  0.558155, Average Loss  0.558455, Time  0.257656
2021-09-10 00:03:15.736602 : Epoch  4, Batch    708, Loss  0.555007, Average Loss  0.558400, Time  0.258846
2021-09-10 00:03:17.600546 : Epoch  4, Batch    709, Loss  0.550091, Average Loss  0.558392, Time  0.261542
2021-09-10 00:03:21.660791 : Epoch  4, Batch    710, Loss  0.545344, Average Loss  0.558345, Time  0.271792
2021-09-10 00:03:23.554847 : Epoch  4, Batch    711, Loss  0.545408, Average Loss  0.558259, Time  0.261902
2021-09-10 00:03:25.483771 : Epoch  4, Batch    712, Loss  0.558756, Average Loss  0.558270, Time  0.273556
2021-09-10 00:03:27.384791 : Epoch  4, Batch    713, Loss  0.559559, Average Loss  0.558302, Time  0.257950
2021-09-10 00:03:29.316866 : Epoch  4, Batch    714, Loss  0.547740, Average Loss  0.558234, Time  0.260390
2021-09-10 00:03:31.228660 : Epoch  4, Batch    715, Loss  0.555709, Average Loss  0.558198, Time  0.273112
2021-09-10 00:03:33.086885 : Epoch  4, Batch    716, Loss  0.555358, Average Loss  0.558241, Time  0.258145
2021-09-10 00:03:34.961787 : Epoch  4, Batch    717, Loss  0.560471, Average Loss  0.558258, Time  0.264425
2021-09-10 00:03:36.851857 : Epoch  4, Batch    718, Loss  0.554061, Average Loss  0.558251, Time  0.261555
2021-09-10 00:03:38.735805 : Epoch  4, Batch    719, Loss  0.555538, Average Loss  0.558223, Time  0.258227
2021-09-10 00:03:40.641763 : Epoch  4, Batch    720, Loss  0.552197, Average Loss  0.558210, Time  0.258747
2021-09-10 00:03:42.532525 : Epoch  4, Batch    721, Loss  0.560455, Average Loss  0.558277, Time  0.261141
2021-09-10 00:03:42.952722 : CheckPoint: Validation Loss  0.00060398, Best Loss  0.00056427
2021-09-10 00:03:44.413953 : Epoch  4, Batch    722, Loss  0.560925, Average Loss  0.558236, Time  0.258061
2021-09-10 00:03:44.767786 : Epoch  7, Batch   3635, Loss  0.882473, Average Loss  0.865933, Time  0.360504
2021-09-10 00:03:46.311920 : Epoch  4, Batch    723, Loss  0.554733, Average Loss  0.558263, Time  0.262820
2021-09-10 00:03:46.602775 : Epoch  7, Batch   3636, Loss  0.850663, Average Loss  0.865819, Time  0.399704
2021-09-10 00:03:48.192813 : Epoch  4, Batch    724, Loss  0.565007, Average Loss  0.558241, Time  0.263446
2021-09-10 00:03:48.481775 : Epoch  7, Batch   3637, Loss  0.850233, Average Loss  0.865631, Time  0.455833
2021-09-10 00:03:50.076755 : Epoch  4, Batch    725, Loss  0.555447, Average Loss  0.558226, Time  0.258779
2021-09-10 00:03:50.269811 : Epoch  7, Batch   3638, Loss  0.860878, Average Loss  0.865587, Time  0.358660
2021-09-10 00:03:52.084096 : Epoch  4, Batch    726, Loss  0.552674, Average Loss  0.558226, Time  0.258957
2021-09-10 00:03:52.158148 : Epoch  7, Batch   3639, Loss  0.876839, Average Loss  0.865595, Time  0.359049
2021-09-10 00:03:53.951286 : Epoch  7, Batch   3640, Loss  0.911085, Average Loss  0.865852, Time  0.357038
2021-09-10 00:03:53.990032 : Epoch  4, Batch    727, Loss  0.560887, Average Loss  0.558258, Time  0.259473
2021-09-10 00:03:55.815182 : Epoch  7, Batch   3641, Loss  0.879678, Average Loss  0.865856, Time  0.451590
2021-09-10 00:03:55.899777 : Epoch  4, Batch    728, Loss  0.552587, Average Loss  0.558247, Time  0.260683
2021-09-10 00:03:57.613783 : Epoch  7, Batch   3642, Loss  0.873193, Average Loss  0.865780, Time  0.340045
2021-09-10 00:03:57.780960 : Epoch  4, Batch    729, Loss  0.557164, Average Loss  0.558298, Time  0.266232
2021-09-10 00:03:59.413797 : Epoch  7, Batch   3643, Loss  0.869016, Average Loss  0.865721, Time  0.363809
2021-09-10 00:03:59.662084 : Epoch  4, Batch    730, Loss  0.555779, Average Loss  0.558312, Time  0.259768
2021-09-10 00:04:01.217782 : Epoch  7, Batch   3644, Loss  0.879322, Average Loss  0.865671, Time  0.357143
2021-09-10 00:04:01.539077 : Epoch  4, Batch    731, Loss  0.559236, Average Loss  0.558295, Time  0.260988
2021-09-10 00:04:03.133776 : Epoch  7, Batch   3645, Loss  0.870399, Average Loss  0.865551, Time  0.461624
2021-09-10 00:04:03.399018 : Epoch  4, Batch    732, Loss  0.543483, Average Loss  0.558227, Time  0.258953
2021-09-10 00:04:04.999795 : Epoch  7, Batch   3646, Loss  0.898594, Average Loss  0.865753, Time  0.436264
2021-09-10 00:04:05.288797 : Epoch  4, Batch    733, Loss  0.560483, Average Loss  0.558200, Time  0.262933
2021-09-10 00:04:06.785776 : Epoch  7, Batch   3647, Loss  0.866409, Average Loss  0.865648, Time  0.356838
2021-09-10 00:04:07.163084 : Epoch  4, Batch    734, Loss  0.554415, Average Loss  0.558206, Time  0.261533
2021-09-10 00:04:08.567776 : Epoch  7, Batch   3648, Loss  0.872543, Average Loss  0.865746, Time  0.366795
2021-09-10 00:04:09.061941 : Epoch  4, Batch    735, Loss  0.559868, Average Loss  0.558229, Time  0.258208
2021-09-10 00:04:10.443878 : Epoch  7, Batch   3649, Loss  0.896754, Average Loss  0.865831, Time  0.449824
2021-09-10 00:04:10.967110 : Epoch  4, Batch    736, Loss  0.556596, Average Loss  0.558306, Time  0.264331
2021-09-10 00:04:12.371783 : Epoch  7, Batch   3650, Loss  0.874557, Average Loss  0.865749, Time  0.451167
2021-09-10 00:04:12.856092 : Epoch  4, Batch    737, Loss  0.556038, Average Loss  0.558301, Time  0.258779
2021-09-10 00:04:14.286122 : Epoch  7, Batch   3651, Loss  0.878218, Average Loss  0.865831, Time  0.452207
2021-09-10 00:04:14.742770 : Epoch  4, Batch    738, Loss  0.545600, Average Loss  0.558159, Time  0.261002
2021-09-10 00:04:16.075781 : Epoch  7, Batch   3652, Loss  0.877634, Average Loss  0.865899, Time  0.359699
2021-09-10 00:04:16.652072 : Epoch  4, Batch    739, Loss  0.560072, Average Loss  0.558163, Time  0.259129
2021-09-10 00:04:17.865112 : Epoch  7, Batch   3653, Loss  0.847307, Average Loss  0.865943, Time  0.368960
2021-09-10 00:04:19.725279 : Epoch  7, Batch   3654, Loss  0.899097, Average Loss  0.866082, Time  0.404655
2021-09-10 00:04:21.617970 : Epoch  7, Batch   3655, Loss  0.884854, Average Loss  0.866247, Time  0.452460
2021-09-10 00:04:23.397791 : Epoch  7, Batch   3656, Loss  0.865040, Average Loss  0.866272, Time  0.356200
2021-09-10 00:04:25.207762 : Epoch  7, Batch   3657, Loss  0.862576, Average Loss  0.866271, Time  0.364494
2021-09-10 00:04:26.997713 : Epoch  7, Batch   3658, Loss  0.865985, Average Loss  0.866298, Time  0.374548
2021-09-10 00:04:28.878780 : Epoch  7, Batch   3659, Loss  0.880068, Average Loss  0.866312, Time  0.463684
2021-09-10 00:04:30.655787 : Epoch  7, Batch   3660, Loss  0.875963, Average Loss  0.866278, Time  0.358319
2021-09-10 00:04:32.458778 : Epoch  7, Batch   3661, Loss  0.891668, Average Loss  0.866570, Time  0.359168
2021-09-10 00:04:34.308821 : Epoch  7, Batch   3662, Loss  0.887368, Average Loss  0.866632, Time  0.384608
2021-09-10 00:04:36.233820 : Epoch  7, Batch   3663, Loss  0.897997, Average Loss  0.866740, Time  0.478782
2021-09-10 00:04:38.082807 : Epoch  7, Batch   3664, Loss  0.886225, Average Loss  0.866896, Time  0.417954
2021-09-10 00:04:39.881765 : Epoch  7, Batch   3665, Loss  0.878673, Average Loss  0.866937, Time  0.360363
2021-09-10 00:04:41.678785 : Epoch  7, Batch   3666, Loss  0.838215, Average Loss  0.866755, Time  0.358523
2021-09-10 00:04:43.533813 : Epoch  7, Batch   3667, Loss  0.849632, Average Loss  0.866733, Time  0.420392
2021-09-10 00:04:45.482780 : Epoch  7, Batch   3668, Loss  0.883421, Average Loss  0.866900, Time  0.509001
2021-09-10 00:04:47.334317 : Epoch  7, Batch   3669, Loss  0.876194, Average Loss  0.867034, Time  0.404773
2021-09-10 00:04:49.115778 : Epoch  7, Batch   3670, Loss  0.869353, Average Loss  0.867219, Time  0.357563
2021-09-10 00:04:50.939063 : Epoch  7, Batch   3671, Loss  0.887166, Average Loss  0.867279, Time  0.362338
2021-09-10 00:04:52.827117 : Epoch  7, Batch   3672, Loss  0.871501, Average Loss  0.867441, Time  0.430196
2021-09-10 00:04:54.731823 : Epoch  7, Batch   3673, Loss  0.879016, Average Loss  0.867339, Time  0.455559
2021-09-10 00:04:56.546379 : Epoch  7, Batch   3674, Loss  0.859555, Average Loss  0.867417, Time  0.345505
2021-09-10 00:04:58.362116 : Epoch  7, Batch   3675, Loss  0.838582, Average Loss  0.867408, Time  0.363359
2021-09-10 00:05:00.137777 : Epoch  7, Batch   3676, Loss  0.874618, Average Loss  0.867620, Time  0.362626
2021-09-10 00:05:02.085421 : Epoch  7, Batch   3677, Loss  0.869917, Average Loss  0.867540, Time  0.512749
2021-09-10 00:05:03.966151 : Epoch  7, Batch   3678, Loss  0.859996, Average Loss  0.867507, Time  0.461176
2021-09-10 00:05:05.755776 : Epoch  7, Batch   3679, Loss  0.825797, Average Loss  0.867308, Time  0.368765
2021-09-10 00:05:07.546775 : Epoch  7, Batch   3680, Loss  0.883957, Average Loss  0.867386, Time  0.358837
2021-09-10 00:05:09.402782 : Epoch  7, Batch   3681, Loss  0.863350, Average Loss  0.867542, Time  0.395937
2021-09-10 00:05:11.328787 : Epoch  7, Batch   3682, Loss  0.850176, Average Loss  0.867444, Time  0.452075
2021-09-10 00:05:13.219782 : Epoch  7, Batch   3683, Loss  0.851376, Average Loss  0.867417, Time  0.423117
2021-09-10 00:05:15.062902 : Epoch  7, Batch   3684, Loss  0.895641, Average Loss  0.867704, Time  0.359938
2021-09-10 00:05:16.892795 : Epoch  7, Batch   3685, Loss  0.881845, Average Loss  0.867703, Time  0.356810
2021-09-10 00:05:18.760108 : Epoch  7, Batch   3686, Loss  0.886429, Average Loss  0.867946, Time  0.402095
2021-09-10 00:05:20.665783 : Epoch  7, Batch   3687, Loss  0.887875, Average Loss  0.867999, Time  0.449962
2021-09-10 00:05:22.475788 : Epoch  7, Batch   3688, Loss  0.873143, Average Loss  0.867999, Time  0.347289
2021-09-10 00:05:24.288794 : Epoch  7, Batch   3689, Loss  0.906020, Average Loss  0.868326, Time  0.354741
2021-09-10 00:05:26.094768 : Epoch  7, Batch   3690, Loss  0.838267, Average Loss  0.868154, Time  0.357002
2021-09-10 00:05:26.555732 : CheckPoint: Validation Loss  0.00022741, Best Loss  0.00022741
2021-09-10 00:05:26.640613 : Best Model Updated
2021-09-10 00:05:27.998022 : Epoch  7, Batch   3691, Loss  0.877483, Average Loss  0.868173, Time  0.447086
2021-09-10 00:05:29.616778 : Epoch  4, Batch    740, Loss  0.545372, Average Loss  0.558090, Time  0.265965
2021-09-10 00:05:29.892774 : Epoch  7, Batch   3692, Loss  0.854019, Average Loss  0.868121, Time  0.441074
2021-09-10 00:05:31.507888 : Epoch  4, Batch    741, Loss  0.542806, Average Loss  0.557990, Time  0.271712
2021-09-10 00:05:31.695130 : Epoch  7, Batch   3693, Loss  0.865125, Average Loss  0.868151, Time  0.360665
2021-09-10 00:05:33.385870 : Epoch  4, Batch    742, Loss  0.549575, Average Loss  0.557902, Time  0.260617
2021-09-10 00:05:33.481816 : Epoch  7, Batch   3694, Loss  0.832508, Average Loss  0.867949, Time  0.355067
2021-09-10 00:05:35.271847 : Epoch  4, Batch    743, Loss  0.569900, Average Loss  0.557918, Time  0.257941
2021-09-10 00:05:35.336794 : Epoch  7, Batch   3695, Loss  0.851473, Average Loss  0.867891, Time  0.406772
2021-09-10 00:05:37.159055 : Epoch  4, Batch    744, Loss  0.557527, Average Loss  0.557931, Time  0.257874
2021-09-10 00:05:37.254783 : Epoch  7, Batch   3696, Loss  0.894955, Average Loss  0.868111, Time  0.452536
2021-09-10 00:05:39.058875 : Epoch  4, Batch    745, Loss  0.556615, Average Loss  0.557937, Time  0.258303
2021-09-10 00:05:39.113763 : Epoch  7, Batch   3697, Loss  0.896953, Average Loss  0.868291, Time  0.414282
2021-09-10 00:05:40.912797 : Epoch  7, Batch   3698, Loss  0.876393, Average Loss  0.868300, Time  0.357119
2021-09-10 00:05:40.966046 : Epoch  4, Batch    746, Loss  0.552194, Average Loss  0.557927, Time  0.257485
2021-09-10 00:05:42.714790 : Epoch  7, Batch   3699, Loss  0.871605, Average Loss  0.868581, Time  0.358733
2021-09-10 00:05:42.905873 : Epoch  4, Batch    747, Loss  0.547879, Average Loss  0.557785, Time  0.261815
2021-09-10 00:05:44.568801 : Epoch  7, Batch   3700, Loss  0.864367, Average Loss  0.868491, Time  0.416303
2021-09-10 00:05:44.790795 : Epoch  4, Batch    748, Loss  0.567512, Average Loss  0.557848, Time  0.257910
2021-09-10 00:05:46.475806 : Epoch  7, Batch   3701, Loss  0.864092, Average Loss  0.868477, Time  0.456345
2021-09-10 00:05:46.691841 : Epoch  4, Batch    749, Loss  0.554880, Average Loss  0.557880, Time  0.258137
2021-09-10 00:05:48.268945 : Epoch  7, Batch   3702, Loss  0.869419, Average Loss  0.868568, Time  0.355537
2021-09-10 00:05:48.585801 : Epoch  4, Batch    750, Loss  0.562604, Average Loss  0.557893, Time  0.257598
2021-09-10 00:05:50.064784 : Epoch  7, Batch   3703, Loss  0.855821, Average Loss  0.868570, Time  0.357439
2021-09-10 00:05:50.485836 : Epoch  4, Batch    751, Loss  0.552904, Average Loss  0.557899, Time  0.257973
2021-09-10 00:05:51.873823 : Epoch  7, Batch   3704, Loss  0.857927, Average Loss  0.868519, Time  0.358482
2021-09-10 00:05:52.380861 : Epoch  4, Batch    752, Loss  0.563080, Average Loss  0.557928, Time  0.257664
2021-09-10 00:05:53.790779 : Epoch  7, Batch   3705, Loss  0.856541, Average Loss  0.868476, Time  0.453609
2021-09-10 00:05:54.267866 : Epoch  4, Batch    753, Loss  0.548318, Average Loss  0.557852, Time  0.257604
2021-09-10 00:05:55.652308 : Epoch  7, Batch   3706, Loss  0.861920, Average Loss  0.868542, Time  0.419216
2021-09-10 00:05:56.164759 : Epoch  4, Batch    754, Loss  0.558332, Average Loss  0.557815, Time  0.258123
2021-09-10 00:05:57.456777 : Epoch  7, Batch   3707, Loss  0.886309, Average Loss  0.868702, Time  0.357150
2021-09-10 00:05:58.047875 : Epoch  4, Batch    755, Loss  0.561566, Average Loss  0.557820, Time  0.258299
2021-09-10 00:05:59.262827 : Epoch  7, Batch   3708, Loss  0.882741, Average Loss  0.868847, Time  0.357116
2021-09-10 00:05:59.941791 : Epoch  4, Batch    756, Loss  0.558643, Average Loss  0.557764, Time  0.262126
2021-09-10 00:06:01.124767 : Epoch  7, Batch   3709, Loss  0.854130, Average Loss  0.868904, Time  0.415606
2021-09-10 00:06:01.834083 : Epoch  4, Batch    757, Loss  0.548588, Average Loss  0.557730, Time  0.263028
2021-09-10 00:06:03.021904 : Epoch  7, Batch   3710, Loss  0.870254, Average Loss  0.868971, Time  0.452204
2021-09-10 00:06:03.708932 : Epoch  4, Batch    758, Loss  0.552753, Average Loss  0.557769, Time  0.257532
2021-09-10 00:06:04.842787 : Epoch  7, Batch   3711, Loss  0.876493, Average Loss  0.868966, Time  0.369829
2021-09-10 00:06:04.950639 : Saving Model after 7-th Epoch.
2021-09-10 00:06:05.793244 : Epoch  4, Batch    759, Loss  0.555380, Average Loss  0.557724, Time  0.259165
2021-09-10 00:06:09.138686 : Epoch Finished.
2021-09-10 00:06:11.017140 : Epoch  4, Batch    760, Loss  0.558946, Average Loss  0.557727, Time  0.276047
2021-09-10 00:06:12.974232 : Epoch  4, Batch    761, Loss  0.542448, Average Loss  0.557610, Time  0.263571
2021-09-10 00:06:14.717671 : Batch Shuffled
2021-09-10 00:06:14.921782 : Epoch  4, Batch    762, Loss  0.561089, Average Loss  0.557655, Time  0.259991
2021-09-10 00:06:16.523139 : Epoch  8, Batch      1, Loss  0.883989, Average Loss  0.869092, Time  0.371206
2021-09-10 00:06:16.831054 : Epoch  4, Batch    763, Loss  0.553609, Average Loss  0.557612, Time  0.258542
2021-09-10 00:06:18.410765 : Epoch  8, Batch      2, Loss  0.854231, Average Loss  0.868906, Time  0.455915
2021-09-10 00:06:18.738761 : Epoch  4, Batch    764, Loss  0.566835, Average Loss  0.557599, Time  0.257563
2021-09-10 00:06:20.284770 : Epoch  8, Batch      3, Loss  0.880723, Average Loss  0.869008, Time  0.400956
2021-09-10 00:06:20.631033 : Epoch  4, Batch    765, Loss  0.548615, Average Loss  0.557529, Time  0.258061
2021-09-10 00:06:22.098791 : Epoch  8, Batch      4, Loss  0.863189, Average Loss  0.868965, Time  0.361706
2021-09-10 00:06:22.545853 : Epoch  4, Batch    766, Loss  0.560697, Average Loss  0.557538, Time  0.258325
2021-09-10 00:06:23.915777 : Epoch  8, Batch      5, Loss  0.837140, Average Loss  0.868738, Time  0.357907
2021-09-10 00:06:24.438794 : Epoch  4, Batch    767, Loss  0.563844, Average Loss  0.557559, Time  0.258415
2021-09-10 00:06:25.818788 : Epoch  8, Batch      6, Loss  0.899234, Average Loss  0.868792, Time  0.441957
2021-09-10 00:06:26.345876 : Epoch  4, Batch    768, Loss  0.554732, Average Loss  0.557564, Time  0.257903
2021-09-10 00:06:27.724790 : Epoch  8, Batch      7, Loss  0.856319, Average Loss  0.868723, Time  0.460189
2021-09-10 00:06:28.264775 : Epoch  4, Batch    769, Loss  0.542545, Average Loss  0.557488, Time  0.258491
2021-09-10 00:06:29.548786 : Epoch  8, Batch      8, Loss  0.881266, Average Loss  0.868827, Time  0.374272
2021-09-10 00:06:30.179758 : Epoch  4, Batch    770, Loss  0.553440, Average Loss  0.557375, Time  0.258123
2021-09-10 00:06:31.355117 : Epoch  8, Batch      9, Loss  0.856955, Average Loss  0.868615, Time  0.361037
2021-09-10 00:06:32.108849 : Epoch  4, Batch    771, Loss  0.565518, Average Loss  0.557345, Time  0.257595
2021-09-10 00:06:33.178777 : Epoch  8, Batch     10, Loss  0.875813, Average Loss  0.868662, Time  0.366132
2021-09-10 00:06:34.018067 : Epoch  4, Batch    772, Loss  0.554828, Average Loss  0.557302, Time  0.257955
2021-09-10 00:06:35.094144 : Epoch  8, Batch     11, Loss  0.872610, Average Loss  0.868628, Time  0.476341
2021-09-10 00:06:35.923992 : Epoch  4, Batch    773, Loss  0.550868, Average Loss  0.557269, Time  0.258450
2021-09-10 00:06:36.990943 : Epoch  8, Batch     12, Loss  0.864009, Average Loss  0.868652, Time  0.448411
2021-09-10 00:06:37.838892 : Epoch  4, Batch    774, Loss  0.549498, Average Loss  0.557224, Time  0.258408
2021-09-10 00:06:38.803785 : Epoch  8, Batch     13, Loss  0.860618, Average Loss  0.868734, Time  0.356210
2021-09-10 00:06:39.755772 : Epoch  4, Batch    775, Loss  0.561963, Average Loss  0.557229, Time  0.258345
2021-09-10 00:06:40.600810 : Epoch  8, Batch     14, Loss  0.894695, Average Loss  0.868928, Time  0.357760
2021-09-10 00:06:41.673781 : Epoch  4, Batch    776, Loss  0.577908, Average Loss  0.557339, Time  0.258231
2021-09-10 00:06:42.421823 : Epoch  8, Batch     15, Loss  0.848479, Average Loss  0.868808, Time  0.382920
2021-09-10 00:06:43.572868 : Epoch  4, Batch    777, Loss  0.558215, Average Loss  0.557379, Time  0.257605
2021-09-10 00:06:44.336783 : Epoch  8, Batch     16, Loss  0.842934, Average Loss  0.868530, Time  0.451579
2021-09-10 00:06:45.491838 : Epoch  4, Batch    778, Loss  0.562782, Average Loss  0.557436, Time  0.258368
2021-09-10 00:06:46.192783 : Epoch  8, Batch     17, Loss  0.852712, Average Loss  0.868549, Time  0.409057
2021-09-10 00:06:47.409788 : Epoch  4, Batch    779, Loss  0.554939, Average Loss  0.557359, Time  0.258030
2021-09-10 00:06:48.013094 : Epoch  8, Batch     18, Loss  0.863239, Average Loss  0.868571, Time  0.355470
2021-09-10 00:06:49.323797 : Epoch  4, Batch    780, Loss  0.546051, Average Loss  0.557221, Time  0.257954
2021-09-10 00:06:49.822782 : Epoch  8, Batch     19, Loss  0.859748, Average Loss  0.868524, Time  0.355996
2021-09-10 00:06:51.236773 : Epoch  4, Batch    781, Loss  0.556544, Average Loss  0.557176, Time  0.257909
2021-09-10 00:06:51.689780 : Epoch  8, Batch     20, Loss  0.866522, Average Loss  0.868426, Time  0.417629
2021-09-10 00:06:53.149937 : Epoch  4, Batch    782, Loss  0.552971, Average Loss  0.557122, Time  0.257760
2021-09-10 00:06:53.593776 : Epoch  8, Batch     21, Loss  0.860446, Average Loss  0.868411, Time  0.455590
2021-09-10 00:06:55.075169 : Epoch  4, Batch    783, Loss  0.561827, Average Loss  0.557116, Time  0.258010
2021-09-10 00:06:55.425928 : Epoch  8, Batch     22, Loss  0.870332, Average Loss  0.868444, Time  0.381754
2021-09-10 00:06:57.054502 : Epoch  4, Batch    784, Loss  0.550306, Average Loss  0.557077, Time  0.263554
2021-09-10 00:06:58.980525 : Epoch  4, Batch    785, Loss  0.557715, Average Loss  0.557126, Time  0.262053
2021-09-10 00:07:00.888165 : Epoch  4, Batch    786, Loss  0.554940, Average Loss  0.557078, Time  0.265250
2021-09-10 00:07:02.743804 : Epoch  8, Batch     23, Loss  0.909070, Average Loss  0.868599, Time  0.380831
2021-09-10 00:07:02.797914 : Epoch  4, Batch    787, Loss  0.565996, Average Loss  0.557142, Time  0.267666
2021-09-10 00:07:02.866988 : Saving Model after 4-th Epoch.
2021-09-10 00:07:03.899788 : Epoch Finished.
2021-09-10 00:07:06.210727 : Batch Shuffled
2021-09-10 00:07:08.174532 : Epoch  5, Batch      1, Loss  0.558799, Average Loss  0.557143, Time  0.277308
2021-09-10 00:07:10.101763 : Epoch  5, Batch      2, Loss  0.558355, Average Loss  0.557150, Time  0.263513
2021-09-10 00:07:12.011871 : Epoch  5, Batch      3, Loss  0.562057, Average Loss  0.557150, Time  0.258560
2021-09-10 00:07:13.947094 : Epoch  5, Batch      4, Loss  0.566956, Average Loss  0.557211, Time  0.261737
2021-09-10 00:07:15.825102 : Epoch  5, Batch      5, Loss  0.561509, Average Loss  0.557243, Time  0.257998
2021-09-10 00:07:17.723265 : Epoch  5, Batch      6, Loss  0.567084, Average Loss  0.557240, Time  0.262517
2021-09-10 00:07:19.607787 : Epoch  5, Batch      7, Loss  0.558228, Average Loss  0.557255, Time  0.260931
2021-09-10 00:07:21.483910 : Epoch  5, Batch      8, Loss  0.543876, Average Loss  0.557145, Time  0.259289
2021-09-10 00:07:23.397890 : Epoch  5, Batch      9, Loss  0.559622, Average Loss  0.557182, Time  0.258373
2021-09-10 00:07:25.278839 : Epoch  5, Batch     10, Loss  0.567050, Average Loss  0.557256, Time  0.258128
2021-09-10 00:07:27.151750 : Epoch  5, Batch     11, Loss  0.565911, Average Loss  0.557324, Time  0.264881
2021-09-10 00:07:29.040798 : Epoch  5, Batch     12, Loss  0.551890, Average Loss  0.557347, Time  0.262390
2021-09-10 00:07:30.936885 : Epoch  5, Batch     13, Loss  0.567738, Average Loss  0.557359, Time  0.262983
2021-09-10 00:07:32.826086 : Epoch  5, Batch     14, Loss  0.558774, Average Loss  0.557361, Time  0.260403
2021-09-10 00:07:34.696129 : Epoch  5, Batch     15, Loss  0.552996, Average Loss  0.557273, Time  0.265027
2021-09-10 00:07:36.599698 : Epoch  5, Batch     16, Loss  0.557421, Average Loss  0.557182, Time  0.260605
2021-09-10 00:07:38.473078 : Epoch  5, Batch     17, Loss  0.558474, Average Loss  0.557234, Time  0.259876
2021-09-10 00:07:40.393873 : Epoch  5, Batch     18, Loss  0.568418, Average Loss  0.557314, Time  0.260425
2021-09-10 00:07:42.309786 : Epoch  5, Batch     19, Loss  0.553263, Average Loss  0.557295, Time  0.265464
2021-09-10 00:07:44.198105 : Epoch  5, Batch     20, Loss  0.549070, Average Loss  0.557179, Time  0.261167
2021-09-10 00:07:46.237822 : Epoch  5, Batch     21, Loss  0.561010, Average Loss  0.557184, Time  0.258424
2021-09-10 00:07:48.141912 : Epoch  5, Batch     22, Loss  0.553988, Average Loss  0.557178, Time  0.258662
2021-09-10 00:07:50.009875 : Epoch  5, Batch     23, Loss  0.557441, Average Loss  0.557200, Time  0.258964
2021-09-10 00:07:51.886963 : Epoch  5, Batch     24, Loss  0.561814, Average Loss  0.557193, Time  0.258500
2021-09-10 00:07:53.749867 : Epoch  5, Batch     25, Loss  0.545743, Average Loss  0.557160, Time  0.258256
2021-09-10 00:07:55.642943 : Epoch  5, Batch     26, Loss  0.555126, Average Loss  0.557121, Time  0.258141
2021-09-10 00:07:57.566850 : Epoch  5, Batch     27, Loss  0.556041, Average Loss  0.557109, Time  0.257742
2021-09-10 00:07:59.501107 : Epoch  5, Batch     28, Loss  0.546355, Average Loss  0.557026, Time  0.258403
2021-09-10 00:08:01.423864 : Epoch  5, Batch     29, Loss  0.563779, Average Loss  0.557045, Time  0.258008
2021-09-10 00:08:03.352796 : Epoch  5, Batch     30, Loss  0.560958, Average Loss  0.557119, Time  0.257770
2021-09-10 00:08:05.272860 : Epoch  5, Batch     31, Loss  0.563292, Average Loss  0.557132, Time  0.258207
2021-09-10 00:08:07.194798 : Epoch  5, Batch     32, Loss  0.549437, Average Loss  0.557090, Time  0.258199
2021-09-10 00:08:09.101857 : Epoch  5, Batch     33, Loss  0.567803, Average Loss  0.557104, Time  0.258293
2021-09-10 00:08:11.036892 : Epoch  5, Batch     34, Loss  0.566484, Average Loss  0.557109, Time  0.258152
2021-09-10 00:08:12.949166 : Epoch  5, Batch     35, Loss  0.545570, Average Loss  0.557076, Time  0.258532
2021-09-10 00:08:14.825074 : Epoch  5, Batch     36, Loss  0.558690, Average Loss  0.557061, Time  0.258069
2021-09-10 00:08:16.725788 : Epoch  5, Batch     37, Loss  0.558778, Average Loss  0.557087, Time  0.258168
2021-09-10 00:08:18.616779 : Epoch  5, Batch     38, Loss  0.561898, Average Loss  0.557086, Time  0.266268
2021-09-10 00:08:20.527822 : Epoch  5, Batch     39, Loss  0.552813, Average Loss  0.557080, Time  0.258219
2021-09-10 00:08:22.419824 : Epoch  5, Batch     40, Loss  0.548945, Average Loss  0.557032, Time  0.259078
2021-09-10 00:08:24.293843 : Epoch  5, Batch     41, Loss  0.568746, Average Loss  0.557060, Time  0.258540
2021-09-10 00:08:26.197087 : Epoch  5, Batch     42, Loss  0.554982, Average Loss  0.556996, Time  0.258060
2021-09-10 00:08:28.101821 : Epoch  5, Batch     43, Loss  0.551035, Average Loss  0.557024, Time  0.257883
2021-09-10 00:08:30.026783 : Epoch  5, Batch     44, Loss  0.544374, Average Loss  0.556946, Time  0.259668
2021-09-10 00:08:31.954059 : Epoch  5, Batch     45, Loss  0.535857, Average Loss  0.556862, Time  0.257830
2021-09-10 00:08:33.869818 : Epoch  5, Batch     46, Loss  0.555649, Average Loss  0.556860, Time  0.258009
2021-09-10 00:08:35.783774 : Epoch  5, Batch     47, Loss  0.565761, Average Loss  0.556899, Time  0.258363
2021-09-10 00:08:37.680857 : Epoch  5, Batch     48, Loss  0.557243, Average Loss  0.556914, Time  0.257776
2021-09-10 00:08:39.562884 : Epoch  5, Batch     49, Loss  0.543639, Average Loss  0.556865, Time  0.257966
2021-09-10 00:08:41.476862 : Epoch  5, Batch     50, Loss  0.558993, Average Loss  0.556901, Time  0.258093
2021-09-10 00:08:43.374892 : Epoch  5, Batch     51, Loss  0.553879, Average Loss  0.556924, Time  0.258714
2021-09-10 00:08:45.300809 : Epoch  5, Batch     52, Loss  0.548353, Average Loss  0.556918, Time  0.258033
2021-09-10 00:09:55.254739 : CheckPoint: Validation Loss  0.00023342, Best Loss  0.00022741
2021-09-10 00:09:57.170839 : Epoch  5, Batch     53, Loss  0.551903, Average Loss  0.556837, Time  0.272934
2021-09-10 00:09:59.054650 : Epoch  5, Batch     54, Loss  0.555278, Average Loss  0.556837, Time  0.259056
2021-09-10 00:10:00.943914 : Epoch  5, Batch     55, Loss  0.545741, Average Loss  0.556699, Time  0.258542
2021-09-10 00:10:02.841768 : Epoch  5, Batch     56, Loss  0.551682, Average Loss  0.556639, Time  0.258190
2021-09-10 00:10:04.757920 : Epoch  5, Batch     57, Loss  0.552870, Average Loss  0.556607, Time  0.258048
2021-09-10 00:10:06.638806 : Epoch  5, Batch     58, Loss  0.538535, Average Loss  0.556591, Time  0.258321
2021-09-10 00:10:08.583801 : Epoch  5, Batch     59, Loss  0.549642, Average Loss  0.556547, Time  0.258259
2021-09-10 00:10:10.507057 : Epoch  5, Batch     60, Loss  0.567512, Average Loss  0.556602, Time  0.257978
2021-09-10 00:10:12.422063 : Epoch  5, Batch     61, Loss  0.560233, Average Loss  0.556573, Time  0.257908
2021-09-10 00:10:14.339057 : Epoch  5, Batch     62, Loss  0.555999, Average Loss  0.556588, Time  0.258472
2021-09-10 00:10:16.263917 : Epoch  5, Batch     63, Loss  0.552805, Average Loss  0.556612, Time  0.258052
2021-09-10 00:10:18.175935 : Epoch  5, Batch     64, Loss  0.555667, Average Loss  0.556547, Time  0.258116
2021-09-10 00:10:20.070820 : Epoch  5, Batch     65, Loss  0.560070, Average Loss  0.556606, Time  0.262805
2021-09-10 00:10:21.970886 : Epoch  5, Batch     66, Loss  0.558171, Average Loss  0.556580, Time  0.258446
2021-09-10 00:10:23.854867 : Epoch  5, Batch     67, Loss  0.557572, Average Loss  0.556592, Time  0.265042
2021-09-10 00:10:25.736130 : Epoch  5, Batch     68, Loss  0.554933, Average Loss  0.556582, Time  0.258746
2021-09-10 00:10:27.630834 : Epoch  5, Batch     69, Loss  0.561871, Average Loss  0.556709, Time  0.258400
2021-09-10 00:10:29.514131 : Epoch  5, Batch     70, Loss  0.550372, Average Loss  0.556635, Time  0.261781
2021-09-10 00:10:31.400826 : Epoch  5, Batch     71, Loss  0.553410, Average Loss  0.556644, Time  0.258106
2021-09-10 00:10:33.273918 : Epoch  5, Batch     72, Loss  0.553409, Average Loss  0.556584, Time  0.258231
2021-09-10 00:10:35.170942 : Epoch  5, Batch     73, Loss  0.547201, Average Loss  0.556491, Time  0.260333
2021-09-10 00:10:37.084843 : Epoch  5, Batch     74, Loss  0.552291, Average Loss  0.556440, Time  0.270913
2021-09-10 00:10:39.016847 : Epoch  5, Batch     75, Loss  0.559078, Average Loss  0.556471, Time  0.276963
2021-09-10 00:10:40.929816 : Epoch  5, Batch     76, Loss  0.549043, Average Loss  0.556475, Time  0.270499
2021-09-10 00:10:42.848094 : Epoch  5, Batch     77, Loss  0.543337, Average Loss  0.556482, Time  0.269218
2021-09-10 00:10:44.743991 : Epoch  5, Batch     78, Loss  0.555738, Average Loss  0.556497, Time  0.261774
2021-09-10 00:10:46.668903 : Epoch  5, Batch     79, Loss  0.551349, Average Loss  0.556491, Time  0.276494
2021-09-10 00:10:48.563906 : Epoch  5, Batch     80, Loss  0.550713, Average Loss  0.556367, Time  0.258098
2021-09-10 00:10:50.452065 : Epoch  5, Batch     81, Loss  0.556157, Average Loss  0.556366, Time  0.258011
2021-09-10 00:10:52.365065 : Epoch  5, Batch     82, Loss  0.556570, Average Loss  0.556329, Time  0.258288
2021-09-10 00:10:54.278887 : Epoch  5, Batch     83, Loss  0.549180, Average Loss  0.556268, Time  0.258134
2021-09-10 00:10:56.191078 : Epoch  5, Batch     84, Loss  0.563316, Average Loss  0.556315, Time  0.263500
2021-09-10 00:10:58.080822 : Epoch  5, Batch     85, Loss  0.547849, Average Loss  0.556263, Time  0.265668
2021-09-10 00:10:59.981893 : Epoch  5, Batch     86, Loss  0.563098, Average Loss  0.556334, Time  0.262173
2021-09-10 00:11:01.871090 : Epoch  5, Batch     87, Loss  0.569961, Average Loss  0.556375, Time  0.265836
2021-09-10 00:11:03.764871 : Epoch  5, Batch     88, Loss  0.546299, Average Loss  0.556285, Time  0.268995
2021-09-10 00:11:05.647088 : Epoch  5, Batch     89, Loss  0.548171, Average Loss  0.556198, Time  0.263648
2021-09-10 00:11:07.525886 : Epoch  5, Batch     90, Loss  0.565367, Average Loss  0.556216, Time  0.258781
2021-09-10 00:11:09.446893 : Epoch  5, Batch     91, Loss  0.541178, Average Loss  0.556135, Time  0.260716
2021-09-10 00:11:11.324934 : Epoch  5, Batch     92, Loss  0.557345, Average Loss  0.556157, Time  0.258105
2021-09-10 00:11:13.245090 : Epoch  5, Batch     93, Loss  0.556832, Average Loss  0.556170, Time  0.258321
2021-09-10 00:11:15.122968 : Epoch  5, Batch     94, Loss  0.552635, Average Loss  0.556150, Time  0.258114
2021-09-10 00:11:17.013794 : Epoch  5, Batch     95, Loss  0.556868, Average Loss  0.556136, Time  0.258261
2021-09-10 00:11:18.903795 : Epoch  5, Batch     96, Loss  0.540171, Average Loss  0.556155, Time  0.258826
2021-09-10 00:11:20.788011 : Epoch  5, Batch     97, Loss  0.544610, Average Loss  0.556098, Time  0.258046
2021-09-10 00:11:22.674055 : Epoch  5, Batch     98, Loss  0.543784, Average Loss  0.555983, Time  0.257652
2021-09-10 00:11:24.580115 : Epoch  5, Batch     99, Loss  0.546236, Average Loss  0.555836, Time  0.258259
2021-09-10 00:11:26.500825 : Epoch  5, Batch    100, Loss  0.564920, Average Loss  0.555813, Time  0.257924
2021-09-10 00:11:28.429056 : Epoch  5, Batch    101, Loss  0.542898, Average Loss  0.555782, Time  0.257532
2021-09-10 00:11:30.334863 : Epoch  5, Batch    102, Loss  0.548788, Average Loss  0.555682, Time  0.258460
2021-09-10 00:11:32.246766 : Epoch  5, Batch    103, Loss  0.558788, Average Loss  0.555627, Time  0.257883
2021-09-10 00:11:34.155847 : Epoch  5, Batch    104, Loss  0.556086, Average Loss  0.555585, Time  0.257960
2021-09-10 00:11:36.057103 : Epoch  5, Batch    105, Loss  0.554927, Average Loss  0.555541, Time  0.257836
2021-09-10 00:11:37.957060 : Epoch  5, Batch    106, Loss  0.549926, Average Loss  0.555424, Time  0.257930
2021-09-10 00:11:39.860863 : Epoch  5, Batch    107, Loss  0.561066, Average Loss  0.555480, Time  0.257721
2021-09-10 00:11:41.766868 : Epoch  5, Batch    108, Loss  0.567907, Average Loss  0.555528, Time  0.258152
2021-09-10 00:11:43.666805 : Epoch  5, Batch    109, Loss  0.553535, Average Loss  0.555635, Time  0.258245
2021-09-10 00:11:45.552053 : Epoch  5, Batch    110, Loss  0.543558, Average Loss  0.555504, Time  0.258030
2021-09-10 00:11:47.451785 : Epoch  5, Batch    111, Loss  0.546881, Average Loss  0.555461, Time  0.258101
2021-09-10 00:11:49.363989 : Epoch  5, Batch    112, Loss  0.544665, Average Loss  0.555347, Time  0.258250
2021-09-10 00:11:51.261762 : Epoch  5, Batch    113, Loss  0.568430, Average Loss  0.555402, Time  0.258501
2021-09-10 00:11:53.148047 : Epoch  5, Batch    114, Loss  0.562601, Average Loss  0.555506, Time  0.257679
2021-09-10 00:11:54.026980 : CheckPoint: Validation Loss  0.00058578, Best Loss  0.00056427
2021-09-10 00:11:55.037090 : Epoch  5, Batch    115, Loss  0.548299, Average Loss  0.555458, Time  0.261803
2021-09-10 00:11:55.826030 : Epoch  8, Batch     24, Loss  0.868913, Average Loss  0.868578, Time  0.356364
2021-09-10 00:11:56.922796 : Epoch  5, Batch    116, Loss  0.549901, Average Loss  0.555418, Time  0.260397
2021-09-10 00:11:57.697766 : Epoch  8, Batch     25, Loss  0.878380, Average Loss  0.868679, Time  0.439575
2021-09-10 00:11:58.800045 : Epoch  5, Batch    117, Loss  0.560876, Average Loss  0.555442, Time  0.258163
2021-09-10 00:11:59.591101 : Epoch  8, Batch     26, Loss  0.882615, Average Loss  0.868887, Time  0.453056
2021-09-10 00:12:00.695068 : Epoch  5, Batch    118, Loss  0.544006, Average Loss  0.555340, Time  0.257847
2021-09-10 00:12:01.453780 : Epoch  8, Batch     27, Loss  0.824613, Average Loss  0.868618, Time  0.414345
2021-09-10 00:12:02.612774 : Epoch  5, Batch    119, Loss  0.565668, Average Loss  0.555393, Time  0.257605
2021-09-10 00:12:03.244773 : Epoch  8, Batch     28, Loss  0.892182, Average Loss  0.868681, Time  0.356287
2021-09-10 00:12:04.528045 : Epoch  5, Batch    120, Loss  0.546281, Average Loss  0.555334, Time  0.257912
2021-09-10 00:12:05.039782 : Epoch  8, Batch     29, Loss  0.840732, Average Loss  0.868494, Time  0.357567
2021-09-10 00:12:06.430714 : Epoch  5, Batch    121, Loss  0.563390, Average Loss  0.555376, Time  0.257771
2021-09-10 00:12:06.927786 : Epoch  8, Batch     30, Loss  0.874389, Average Loss  0.868485, Time  0.460126
2021-09-10 00:12:08.350995 : Epoch  5, Batch    122, Loss  0.549731, Average Loss  0.555374, Time  0.257962
2021-09-10 00:12:08.821970 : Epoch  8, Batch     31, Loss  0.871273, Average Loss  0.868579, Time  0.462598
2021-09-10 00:12:10.612773 : Epoch  8, Batch     32, Loss  0.884803, Average Loss  0.868641, Time  0.363726
2021-09-10 00:12:12.391131 : Epoch  8, Batch     33, Loss  0.893399, Average Loss  0.868689, Time  0.357827
2021-09-10 00:12:12.427030 : Epoch  5, Batch    123, Loss  0.565986, Average Loss  0.555477, Time  0.266171
2021-09-10 00:12:14.164781 : Epoch  8, Batch     34, Loss  0.860593, Average Loss  0.868767, Time  0.368800
2021-09-10 00:12:14.320773 : Epoch  5, Batch    124, Loss  0.555709, Average Loss  0.555529, Time  0.257995
2021-09-10 00:12:16.071770 : Epoch  8, Batch     35, Loss  0.855935, Average Loss  0.868780, Time  0.452308
2021-09-10 00:12:16.227089 : Epoch  5, Batch    125, Loss  0.564116, Average Loss  0.555556, Time  0.288691
2021-09-10 00:12:17.958767 : Epoch  8, Batch     36, Loss  0.864705, Average Loss  0.868775, Time  0.415516
2021-09-10 00:12:18.124962 : Epoch  5, Batch    126, Loss  0.556444, Average Loss  0.555540, Time  0.261063
2021-09-10 00:12:19.795787 : Epoch  8, Batch     37, Loss  0.867845, Average Loss  0.868772, Time  0.366038
2021-09-10 00:12:20.008836 : Epoch  5, Batch    127, Loss  0.552993, Average Loss  0.555566, Time  0.266270
2021-09-10 00:12:21.566766 : Epoch  8, Batch     38, Loss  0.875069, Average Loss  0.868622, Time  0.356052
2021-09-10 00:12:21.895077 : Epoch  5, Batch    128, Loss  0.561329, Average Loss  0.555594, Time  0.263465
2021-09-10 00:12:23.438765 : Epoch  8, Batch     39, Loss  0.880379, Average Loss  0.868752, Time  0.419251
2021-09-10 00:12:23.773082 : Epoch  5, Batch    129, Loss  0.551082, Average Loss  0.555573, Time  0.265243
2021-09-10 00:12:25.337786 : Epoch  8, Batch     40, Loss  0.860796, Average Loss  0.868561, Time  0.452882
2021-09-10 00:12:25.669089 : Epoch  5, Batch    130, Loss  0.555032, Average Loss  0.555546, Time  0.264897
2021-09-10 00:12:27.140769 : Epoch  8, Batch     41, Loss  0.878226, Average Loss  0.868606, Time  0.350053
2021-09-10 00:12:27.550076 : Epoch  5, Batch    131, Loss  0.556698, Average Loss  0.555559, Time  0.258842
2021-09-10 00:12:28.943829 : Epoch  8, Batch     42, Loss  0.863637, Average Loss  0.868659, Time  0.356265
2021-09-10 00:12:29.417466 : Epoch  5, Batch    132, Loss  0.565480, Average Loss  0.555609, Time  0.261345
2021-09-10 00:12:30.748956 : Epoch  8, Batch     43, Loss  0.870671, Average Loss  0.868540, Time  0.356302
2021-09-10 00:12:31.281779 : Epoch  5, Batch    133, Loss  0.553220, Average Loss  0.555614, Time  0.258531
2021-09-10 00:12:32.650805 : Epoch  8, Batch     44, Loss  0.866949, Average Loss  0.868610, Time  0.450869
2021-09-10 00:12:33.156860 : Epoch  5, Batch    134, Loss  0.543183, Average Loss  0.555528, Time  0.264769
2021-09-10 00:12:34.499097 : Epoch  8, Batch     45, Loss  0.888132, Average Loss  0.868834, Time  0.410239
2021-09-10 00:12:35.017189 : Epoch  5, Batch    135, Loss  0.560191, Average Loss  0.555524, Time  0.258159
2021-09-10 00:12:36.309764 : Epoch  8, Batch     46, Loss  0.864226, Average Loss  0.868983, Time  0.360425
2021-09-10 00:12:36.909088 : Epoch  5, Batch    136, Loss  0.542955, Average Loss  0.555465, Time  0.261068
2021-09-10 00:12:38.111784 : Epoch  8, Batch     47, Loss  0.876674, Average Loss  0.869047, Time  0.357843
2021-09-10 00:12:38.812798 : Epoch  5, Batch    137, Loss  0.550052, Average Loss  0.555390, Time  0.259556
2021-09-10 00:12:39.992765 : Epoch  8, Batch     48, Loss  0.861910, Average Loss  0.868925, Time  0.416620
2021-09-10 00:12:40.713928 : Epoch  5, Batch    138, Loss  0.563783, Average Loss  0.555432, Time  0.258926
2021-09-10 00:12:41.882791 : Epoch  8, Batch     49, Loss  0.872246, Average Loss  0.868818, Time  0.454355
2021-09-10 00:12:42.587695 : Epoch  5, Batch    139, Loss  0.560137, Average Loss  0.555469, Time  0.260580
2021-09-10 00:12:43.665767 : Epoch  8, Batch     50, Loss  0.860847, Average Loss  0.868738, Time  0.335433
2021-09-10 00:12:44.463958 : Epoch  5, Batch    140, Loss  0.567811, Average Loss  0.555504, Time  0.258396
2021-09-10 00:12:45.462764 : Epoch  8, Batch     51, Loss  0.871453, Average Loss  0.868762, Time  0.355279
2021-09-10 00:12:46.353026 : Epoch  5, Batch    141, Loss  0.553523, Average Loss  0.555509, Time  0.261839
2021-09-10 00:12:47.274777 : Epoch  8, Batch     52, Loss  0.868527, Average Loss  0.868730, Time  0.355549
2021-09-10 00:12:48.236870 : Epoch  5, Batch    142, Loss  0.542774, Average Loss  0.555437, Time  0.258788
2021-09-10 00:12:49.195778 : Epoch  8, Batch     53, Loss  0.885373, Average Loss  0.868917, Time  0.472462
2021-09-10 00:12:50.118001 : Epoch  5, Batch    143, Loss  0.543366, Average Loss  0.555375, Time  0.261769
2021-09-10 00:12:51.076783 : Epoch  8, Batch     54, Loss  0.860777, Average Loss  0.868861, Time  0.438218
2021-09-10 00:12:51.992820 : Epoch  5, Batch    144, Loss  0.561908, Average Loss  0.555388, Time  0.263112
2021-09-10 00:12:52.878785 : Epoch  8, Batch     55, Loss  0.865979, Average Loss  0.868827, Time  0.362572
2021-09-10 00:12:53.887923 : Epoch  5, Batch    145, Loss  0.566582, Average Loss  0.555503, Time  0.260208
2021-09-10 00:12:54.646900 : Epoch  8, Batch     56, Loss  0.844108, Average Loss  0.868758, Time  0.360723
2021-09-10 00:12:55.798785 : Epoch  5, Batch    146, Loss  0.552530, Average Loss  0.555464, Time  0.270160
2021-09-10 00:12:56.499829 : Epoch  8, Batch     57, Loss  0.878022, Average Loss  0.868900, Time  0.412584
2021-09-10 00:12:57.735897 : Epoch  5, Batch    147, Loss  0.553064, Average Loss  0.555457, Time  0.261510
2021-09-10 00:12:58.413828 : Epoch  8, Batch     58, Loss  0.818678, Average Loss  0.868722, Time  0.451333
2021-09-10 00:12:59.620879 : Epoch  5, Batch    148, Loss  0.550161, Average Loss  0.555408, Time  0.259247
2021-09-10 00:13:00.278781 : Epoch  8, Batch     59, Loss  0.886224, Average Loss  0.868825, Time  0.419111
2021-09-10 00:13:01.507848 : Epoch  5, Batch    149, Loss  0.553879, Average Loss  0.555395, Time  0.265815
2021-09-10 00:13:02.039767 : Epoch  8, Batch     60, Loss  0.906284, Average Loss  0.869150, Time  0.358951
2021-09-10 00:13:03.392924 : Epoch  5, Batch    150, Loss  0.539175, Average Loss  0.555310, Time  0.258892
2021-09-10 00:13:03.825006 : Epoch  8, Batch     61, Loss  0.852335, Average Loss  0.869173, Time  0.356587
2021-09-10 00:13:05.308185 : Epoch  5, Batch    151, Loss  0.549128, Average Loss  0.555328, Time  0.267017
2021-09-10 00:13:05.679912 : Epoch  8, Batch     62, Loss  0.855931, Average Loss  0.869079, Time  0.441502
2021-09-10 00:13:07.204841 : Epoch  5, Batch    152, Loss  0.560853, Average Loss  0.555332, Time  0.267492
2021-09-10 00:13:07.551963 : Epoch  8, Batch     63, Loss  0.886012, Average Loss  0.869064, Time  0.467213
2021-09-10 00:13:09.342524 : Epoch  8, Batch     64, Loss  0.853470, Average Loss  0.869006, Time  0.364866
2021-09-10 00:13:11.123781 : Epoch  8, Batch     65, Loss  0.851567, Average Loss  0.868839, Time  0.363164
2021-09-10 00:13:12.964783 : Epoch  8, Batch     66, Loss  0.874905, Average Loss  0.868948, Time  0.390188
2021-09-10 00:13:14.866770 : Epoch  8, Batch     67, Loss  0.863388, Average Loss  0.868971, Time  0.449794
2021-09-10 00:13:16.622781 : Epoch  8, Batch     68, Loss  0.884491, Average Loss  0.868931, Time  0.336446
2021-09-10 00:13:18.409455 : Epoch  8, Batch     69, Loss  0.869232, Average Loss  0.868906, Time  0.357345
2021-09-10 00:13:20.210782 : Epoch  8, Batch     70, Loss  0.885163, Average Loss  0.869079, Time  0.369751
2021-09-10 00:13:22.090172 : Epoch  8, Batch     71, Loss  0.863419, Average Loss  0.869151, Time  0.462218
2021-09-10 00:13:23.869785 : Epoch  8, Batch     72, Loss  0.872251, Average Loss  0.869255, Time  0.357256
2021-09-10 00:13:25.688779 : Epoch  8, Batch     73, Loss  0.845866, Average Loss  0.869155, Time  0.371197
2021-09-10 00:13:27.486940 : Epoch  8, Batch     74, Loss  0.897405, Average Loss  0.869349, Time  0.371840
2021-09-10 00:13:29.360769 : Epoch  8, Batch     75, Loss  0.861058, Average Loss  0.869256, Time  0.464881
2021-09-10 00:13:31.128096 : Epoch  8, Batch     76, Loss  0.883226, Average Loss  0.869342, Time  0.364029
2021-09-10 00:13:32.906931 : Epoch  8, Batch     77, Loss  0.849330, Average Loss  0.869347, Time  0.356521
2021-09-10 00:13:34.710867 : Epoch  8, Batch     78, Loss  0.861120, Average Loss  0.869322, Time  0.385927
2021-09-10 00:13:36.596779 : Epoch  8, Batch     79, Loss  0.878381, Average Loss  0.869290, Time  0.453244
2021-09-10 00:13:38.385782 : Epoch  8, Batch     80, Loss  0.883856, Average Loss  0.869406, Time  0.359974
2021-09-10 00:13:40.179782 : Epoch  8, Batch     81, Loss  0.868989, Average Loss  0.869297, Time  0.366788
2021-09-10 00:13:41.990765 : Epoch  8, Batch     82, Loss  0.854941, Average Loss  0.869338, Time  0.379718
2021-09-10 00:13:43.853788 : Epoch  8, Batch     83, Loss  0.856310, Average Loss  0.869176, Time  0.451836
2021-09-10 00:13:45.626127 : Epoch  8, Batch     84, Loss  0.880629, Average Loss  0.869314, Time  0.358022
2021-09-10 00:13:47.402769 : Epoch  8, Batch     85, Loss  0.883495, Average Loss  0.869488, Time  0.356782
2021-09-10 00:13:49.209776 : Epoch  8, Batch     86, Loss  0.895388, Average Loss  0.869633, Time  0.389677
2021-09-10 00:13:51.158771 : Epoch  8, Batch     87, Loss  0.862676, Average Loss  0.869678, Time  0.459548
2021-09-10 00:13:53.034777 : Epoch  8, Batch     88, Loss  0.872133, Average Loss  0.869842, Time  0.423008
2021-09-10 00:13:54.822114 : Epoch  8, Batch     89, Loss  0.853819, Average Loss  0.869779, Time  0.363934
2021-09-10 00:13:56.605791 : Epoch  8, Batch     90, Loss  0.850810, Average Loss  0.869649, Time  0.356302
2021-09-10 00:13:58.531273 : Epoch  8, Batch     91, Loss  0.882473, Average Loss  0.869649, Time  0.437606
2021-09-10 00:14:00.424184 : Epoch  8, Batch     92, Loss  0.880435, Average Loss  0.869777, Time  0.462730
2021-09-10 00:14:02.315801 : Epoch  8, Batch     93, Loss  0.869875, Average Loss  0.869604, Time  0.432687
2021-09-10 00:14:04.102165 : Epoch  8, Batch     94, Loss  0.858026, Average Loss  0.869580, Time  0.360337
2021-09-10 00:14:05.902362 : Epoch  8, Batch     95, Loss  0.880866, Average Loss  0.869635, Time  0.358014
2021-09-10 00:14:07.769588 : Epoch  8, Batch     96, Loss  0.870962, Average Loss  0.869588, Time  0.431495
2021-09-10 00:14:09.682843 : Epoch  8, Batch     97, Loss  0.849314, Average Loss  0.869497, Time  0.456157
2021-09-10 00:14:11.468813 : Epoch  8, Batch     98, Loss  0.867005, Average Loss  0.869489, Time  0.353406
2021-09-10 00:14:13.276796 : Epoch  8, Batch     99, Loss  0.879619, Average Loss  0.869714, Time  0.360040
2021-09-10 00:14:15.092787 : Epoch  8, Batch    100, Loss  0.888388, Average Loss  0.869785, Time  0.374027
2021-09-10 00:14:17.001792 : Epoch  8, Batch    101, Loss  0.890051, Average Loss  0.869920, Time  0.451640
2021-09-10 00:14:17.200733 : CheckPoint: Validation Loss  0.00022628, Best Loss  0.00022628
2021-09-10 00:14:17.294964 : Best Model Updated
2021-09-10 00:14:18.917784 : Epoch  8, Batch    102, Loss  0.869002, Average Loss  0.869871, Time  0.432393
2021-09-10 00:14:20.219899 : Epoch  5, Batch    153, Loss  0.565201, Average Loss  0.555431, Time  0.266348
2021-09-10 00:14:20.747921 : Epoch  8, Batch    103, Loss  0.868349, Average Loss  0.869852, Time  0.363914
2021-09-10 00:14:22.129789 : Epoch  5, Batch    154, Loss  0.544987, Average Loss  0.555442, Time  0.258368
2021-09-10 00:14:22.527310 : Epoch  8, Batch    104, Loss  0.885044, Average Loss  0.870000, Time  0.368151
2021-09-10 00:14:24.042848 : Epoch  5, Batch    155, Loss  0.548548, Average Loss  0.555437, Time  0.258245
2021-09-10 00:14:24.352831 : Epoch  8, Batch    105, Loss  0.898451, Average Loss  0.870122, Time  0.418576
2021-09-10 00:14:25.903221 : Epoch  5, Batch    156, Loss  0.544422, Average Loss  0.555309, Time  0.258195
2021-09-10 00:14:26.231764 : Epoch  8, Batch    106, Loss  0.852063, Average Loss  0.870085, Time  0.453314
2021-09-10 00:14:27.773774 : Epoch  5, Batch    157, Loss  0.540268, Average Loss  0.555223, Time  0.259207
2021-09-10 00:14:28.020778 : Epoch  8, Batch    107, Loss  0.874822, Average Loss  0.870264, Time  0.357304
2021-09-10 00:14:29.637896 : Epoch  5, Batch    158, Loss  0.558226, Average Loss  0.555231, Time  0.262344
2021-09-10 00:14:29.783773 : Epoch  8, Batch    108, Loss  0.848904, Average Loss  0.870272, Time  0.356002
2021-09-10 00:14:31.504812 : Epoch  5, Batch    159, Loss  0.556035, Average Loss  0.555250, Time  0.258620
2021-09-10 00:14:31.603770 : Epoch  8, Batch    109, Loss  0.881230, Average Loss  0.870511, Time  0.399058
2021-09-10 00:14:33.396120 : Epoch  5, Batch    160, Loss  0.567391, Average Loss  0.555348, Time  0.258633
2021-09-10 00:14:33.505762 : Epoch  8, Batch    110, Loss  0.884031, Average Loss  0.870625, Time  0.455122
2021-09-10 00:14:35.289774 : Epoch  5, Batch    161, Loss  0.563498, Average Loss  0.555328, Time  0.257905
2021-09-10 00:14:35.327897 : Epoch  8, Batch    111, Loss  0.892385, Average Loss  0.870691, Time  0.363772
2021-09-10 00:14:37.187786 : Epoch  8, Batch    112, Loss  0.883274, Average Loss  0.870776, Time  0.389060
2021-09-10 00:14:37.224801 : Epoch  5, Batch    162, Loss  0.551513, Average Loss  0.555311, Time  0.263132
2021-09-10 00:14:38.949956 : Epoch  8, Batch    113, Loss  0.888006, Average Loss  0.870953, Time  0.355237
2021-09-10 00:14:39.115862 : Epoch  5, Batch    163, Loss  0.565408, Average Loss  0.555325, Time  0.258026
2021-09-10 00:14:40.835775 : Epoch  8, Batch    114, Loss  0.906087, Average Loss  0.870852, Time  0.451466
2021-09-10 00:14:41.016781 : Epoch  5, Batch    164, Loss  0.548425, Average Loss  0.555303, Time  0.258269
2021-09-10 00:14:42.631793 : Epoch  8, Batch    115, Loss  0.896962, Average Loss  0.870869, Time  0.357809
2021-09-10 00:14:42.929809 : Epoch  5, Batch    165, Loss  0.558325, Average Loss  0.555279, Time  0.275133
2021-09-10 00:14:44.445787 : Epoch  8, Batch    116, Loss  0.878399, Average Loss  0.871002, Time  0.358255
2021-09-10 00:14:44.821108 : Epoch  5, Batch    166, Loss  0.552555, Average Loss  0.555300, Time  0.262529
2021-09-10 00:14:46.238197 : Epoch  8, Batch    117, Loss  0.859803, Average Loss  0.870933, Time  0.366404
2021-09-10 00:14:46.702068 : Epoch  5, Batch    167, Loss  0.556915, Average Loss  0.555293, Time  0.257904
2021-09-10 00:14:48.110788 : Epoch  8, Batch    118, Loss  0.839183, Average Loss  0.870713, Time  0.452127
2021-09-10 00:14:48.601050 : Epoch  5, Batch    168, Loss  0.554357, Average Loss  0.555257, Time  0.260121
2021-09-10 00:14:49.901793 : Epoch  8, Batch    119, Loss  0.892502, Average Loss  0.870923, Time  0.355602
2021-09-10 00:14:50.499786 : Epoch  5, Batch    169, Loss  0.562255, Average Loss  0.555275, Time  0.260503
2021-09-10 00:14:51.707083 : Epoch  8, Batch    120, Loss  0.877378, Average Loss  0.870905, Time  0.357181
2021-09-10 00:14:52.404044 : Epoch  5, Batch    170, Loss  0.557079, Average Loss  0.555318, Time  0.257734
2021-09-10 00:14:53.526788 : Epoch  8, Batch    121, Loss  0.861485, Average Loss  0.870771, Time  0.368047
2021-09-10 00:14:54.301761 : Epoch  5, Batch    171, Loss  0.554059, Average Loss  0.555324, Time  0.258152
2021-09-10 00:14:55.428765 : Epoch  8, Batch    122, Loss  0.850943, Average Loss  0.870644, Time  0.451576
2021-09-10 00:14:56.200042 : Epoch  5, Batch    172, Loss  0.538810, Average Loss  0.555241, Time  0.258023
2021-09-10 00:14:57.296782 : Epoch  8, Batch    123, Loss  0.879937, Average Loss  0.870848, Time  0.415676
2021-09-10 00:14:58.107553 : Epoch  5, Batch    173, Loss  0.572383, Average Loss  0.555308, Time  0.262592
2021-09-10 00:15:00.062114 : Epoch  5, Batch    174, Loss  0.548758, Average Loss  0.555340, Time  0.261844
2021-09-10 00:15:01.982044 : Epoch  5, Batch    175, Loss  0.560967, Average Loss  0.555339, Time  0.260571
2021-09-10 00:15:03.883856 : Epoch  5, Batch    176, Loss  0.560233, Average Loss  0.555372, Time  0.265960
2021-09-10 00:15:05.776868 : Epoch  5, Batch    177, Loss  0.559463, Average Loss  0.555336, Time  0.259123
2021-09-10 00:15:07.693875 : Epoch  5, Batch    178, Loss  0.561466, Average Loss  0.555400, Time  0.266833
2021-09-10 00:15:09.565807 : Epoch  5, Batch    179, Loss  0.550913, Average Loss  0.555351, Time  0.259613
2021-09-10 00:15:11.442086 : Epoch  5, Batch    180, Loss  0.541715, Average Loss  0.555240, Time  0.262206
2021-09-10 00:15:13.318828 : Epoch  5, Batch    181, Loss  0.554820, Average Loss  0.555241, Time  0.258214
2021-09-10 00:15:15.227088 : Epoch  5, Batch    182, Loss  0.556648, Average Loss  0.555311, Time  0.258594
2021-09-10 00:15:17.120084 : Epoch  5, Batch    183, Loss  0.542611, Average Loss  0.555257, Time  0.258164
2021-09-10 00:15:19.024938 : Epoch  5, Batch    184, Loss  0.561680, Average Loss  0.555238, Time  0.265711
2021-09-10 00:15:20.926782 : Epoch  5, Batch    185, Loss  0.549172, Average Loss  0.555210, Time  0.261403
2021-09-10 00:15:22.805085 : Epoch  5, Batch    186, Loss  0.547204, Average Loss  0.555191, Time  0.258799
2021-09-10 00:15:24.679619 : Epoch  5, Batch    187, Loss  0.562466, Average Loss  0.555256, Time  0.258336
2021-09-10 00:15:26.583860 : Epoch  5, Batch    188, Loss  0.545941, Average Loss  0.555176, Time  0.260391
2021-09-10 00:15:28.455346 : Epoch  5, Batch    189, Loss  0.557187, Average Loss  0.555072, Time  0.260694
2021-09-10 00:15:30.353801 : Epoch  5, Batch    190, Loss  0.552172, Average Loss  0.555042, Time  0.258399
2021-09-10 00:15:32.280762 : Epoch  5, Batch    191, Loss  0.553414, Average Loss  0.554995, Time  0.276238
2021-09-10 00:15:34.186077 : Epoch  5, Batch    192, Loss  0.554958, Average Loss  0.554995, Time  0.262306
2021-09-10 00:15:36.068970 : Epoch  5, Batch    193, Loss  0.554593, Average Loss  0.555038, Time  0.258135
2021-09-10 00:15:37.972102 : Epoch  5, Batch    194, Loss  0.553832, Average Loss  0.555025, Time  0.258266
2021-09-10 00:15:39.861802 : Epoch  5, Batch    195, Loss  0.550146, Average Loss  0.555010, Time  0.258259
2021-09-10 00:15:41.775043 : Epoch  5, Batch    196, Loss  0.558369, Average Loss  0.554993, Time  0.257940
2021-09-10 00:15:43.677814 : Epoch  5, Batch    197, Loss  0.550299, Average Loss  0.554993, Time  0.258062
2021-09-10 00:15:45.626803 : Epoch  5, Batch    198, Loss  0.538223, Average Loss  0.554896, Time  0.258026
2021-09-10 00:15:47.525818 : Epoch  5, Batch    199, Loss  0.556213, Average Loss  0.554902, Time  0.265186
2021-09-10 00:15:49.408913 : Epoch  5, Batch    200, Loss  0.562597, Average Loss  0.554885, Time  0.262185
2021-09-10 00:15:51.304174 : Epoch  5, Batch    201, Loss  0.543112, Average Loss  0.554807, Time  0.263928
2021-09-10 00:15:53.192095 : Epoch  5, Batch    202, Loss  0.543978, Average Loss  0.554735, Time  0.259679
2021-09-10 00:15:55.090842 : Epoch  5, Batch    203, Loss  0.559119, Average Loss  0.554720, Time  0.258366
2021-09-10 00:15:56.963051 : Epoch  5, Batch    204, Loss  0.547326, Average Loss  0.554622, Time  0.261346
2021-09-10 00:15:58.850920 : Epoch  5, Batch    205, Loss  0.566153, Average Loss  0.554645, Time  0.258556
2021-09-10 00:16:00.796856 : Epoch  5, Batch    206, Loss  0.551747, Average Loss  0.554568, Time  0.259828
2021-09-10 00:16:02.705768 : Epoch  5, Batch    207, Loss  0.550684, Average Loss  0.554531, Time  0.258087
2021-09-10 00:16:04.609826 : Epoch  5, Batch    208, Loss  0.539437, Average Loss  0.554509, Time  0.258510
2021-09-10 00:16:06.505825 : Epoch  5, Batch    209, Loss  0.547161, Average Loss  0.554446, Time  0.257699
2021-09-10 00:16:08.376077 : Epoch  5, Batch    210, Loss  0.550790, Average Loss  0.554365, Time  0.257770
2021-09-10 00:16:10.234928 : Epoch  5, Batch    211, Loss  0.551560, Average Loss  0.554293, Time  0.257929
2021-09-10 00:16:12.101793 : Epoch  5, Batch    212, Loss  0.550007, Average Loss  0.554284, Time  0.262614
2021-09-10 00:16:13.984892 : Epoch  5, Batch    213, Loss  0.545895, Average Loss  0.554175, Time  0.264248
2021-09-10 00:16:15.852971 : Epoch  5, Batch    214, Loss  0.562262, Average Loss  0.554192, Time  0.263263
2021-09-10 00:16:17.728769 : Epoch  5, Batch    215, Loss  0.546189, Average Loss  0.554158, Time  0.258893
2021-09-10 00:16:19.628095 : Epoch  5, Batch    216, Loss  0.546796, Average Loss  0.554105, Time  0.262661
2021-09-10 00:16:21.487801 : Epoch  5, Batch    217, Loss  0.543888, Average Loss  0.554032, Time  0.258527
2021-09-10 00:16:23.359868 : Epoch  5, Batch    218, Loss  0.557254, Average Loss  0.553976, Time  0.258368
2021-09-10 00:16:25.240156 : Epoch  5, Batch    219, Loss  0.562840, Average Loss  0.554024, Time  0.258581
2021-09-10 00:16:27.126778 : Epoch  5, Batch    220, Loss  0.559749, Average Loss  0.554077, Time  0.267804
2021-09-10 00:16:29.010803 : Epoch  5, Batch    221, Loss  0.545571, Average Loss  0.554000, Time  0.258445
2021-09-10 00:16:30.881004 : Epoch  5, Batch    222, Loss  0.553240, Average Loss  0.553996, Time  0.263671
2021-09-10 00:16:34.893172 : Epoch  5, Batch    223, Loss  0.552174, Average Loss  0.553970, Time  0.270123
2021-09-10 00:16:36.793090 : Epoch  5, Batch    224, Loss  0.547983, Average Loss  0.553901, Time  0.265729
2021-09-10 00:16:38.653089 : Epoch  5, Batch    225, Loss  0.552766, Average Loss  0.553936, Time  0.258354
2021-09-10 00:16:40.538880 : Epoch  5, Batch    226, Loss  0.550287, Average Loss  0.553912, Time  0.258401
2021-09-10 00:16:42.430086 : Epoch  5, Batch    227, Loss  0.554772, Average Loss  0.553906, Time  0.261234
2021-09-10 00:16:44.297770 : Epoch  5, Batch    228, Loss  0.550396, Average Loss  0.553926, Time  0.261611
2021-09-10 00:16:46.193790 : Epoch  5, Batch    229, Loss  0.545206, Average Loss  0.553833, Time  0.264966
2021-09-10 00:16:48.078127 : Epoch  5, Batch    230, Loss  0.543997, Average Loss  0.553748, Time  0.262466
2021-09-10 00:16:49.962080 : Epoch  5, Batch    231, Loss  0.563653, Average Loss  0.553750, Time  0.258124
2021-09-10 00:16:51.841972 : Epoch  5, Batch    232, Loss  0.546170, Average Loss  0.553734, Time  0.259679
2021-09-10 00:16:53.735807 : Epoch  5, Batch    233, Loss  0.561358, Average Loss  0.553701, Time  0.261832
2021-09-10 00:16:55.606651 : Epoch  5, Batch    234, Loss  0.545478, Average Loss  0.553596, Time  0.259602
2021-09-10 00:16:57.493840 : Epoch  5, Batch    235, Loss  0.549082, Average Loss  0.553614, Time  0.259292
2021-09-10 00:16:59.384872 : Epoch  5, Batch    236, Loss  0.560957, Average Loss  0.553625, Time  0.262736
2021-09-10 00:17:01.308135 : Epoch  5, Batch    237, Loss  0.565772, Average Loss  0.553660, Time  0.259628
2021-09-10 00:17:03.180047 : Epoch  5, Batch    238, Loss  0.559584, Average Loss  0.553649, Time  0.257860
2021-09-10 00:17:05.061774 : Epoch  5, Batch    239, Loss  0.552182, Average Loss  0.553645, Time  0.258868
2021-09-10 00:17:06.942762 : Epoch  5, Batch    240, Loss  0.544546, Average Loss  0.553623, Time  0.266467
2021-09-10 00:17:08.828803 : Epoch  5, Batch    241, Loss  0.568551, Average Loss  0.553622, Time  0.261766
2021-09-10 00:17:10.709906 : Epoch  5, Batch    242, Loss  0.543450, Average Loss  0.553565, Time  0.262472
2021-09-10 00:17:12.561801 : Epoch  5, Batch    243, Loss  0.559145, Average Loss  0.553605, Time  0.258559
2021-09-10 00:17:14.430917 : Epoch  5, Batch    244, Loss  0.540097, Average Loss  0.553584, Time  0.259864
2021-09-10 00:17:16.309086 : Epoch  5, Batch    245, Loss  0.559715, Average Loss  0.553703, Time  0.258616
2021-09-10 00:17:18.189745 : Epoch  5, Batch    246, Loss  0.553749, Average Loss  0.553694, Time  0.258832
2021-09-10 00:17:20.055842 : Epoch  5, Batch    247, Loss  0.563188, Average Loss  0.553681, Time  0.258226
2021-09-10 00:17:21.926101 : Epoch  5, Batch    248, Loss  0.550480, Average Loss  0.553647, Time  0.258183
2021-09-10 00:17:23.795822 : Epoch  5, Batch    249, Loss  0.562514, Average Loss  0.553741, Time  0.261779
2021-09-10 00:17:25.661068 : Epoch  5, Batch    250, Loss  0.544294, Average Loss  0.553668, Time  0.265645
2021-09-10 00:17:27.533813 : Epoch  5, Batch    251, Loss  0.556589, Average Loss  0.553681, Time  0.258456
2021-09-10 00:17:29.432809 : Epoch  5, Batch    252, Loss  0.548129, Average Loss  0.553680, Time  0.258331
2021-09-10 00:18:39.052737 : CheckPoint: Validation Loss  0.00022811, Best Loss  0.00022628
2021-09-10 00:18:40.956942 : Epoch  5, Batch    253, Loss  0.560496, Average Loss  0.553723, Time  0.265656
2021-09-10 00:18:42.865817 : Epoch  5, Batch    254, Loss  0.548575, Average Loss  0.553690, Time  0.261406
2021-09-10 00:18:44.773898 : Epoch  5, Batch    255, Loss  0.557293, Average Loss  0.553748, Time  0.261928
2021-09-10 00:18:46.646099 : Epoch  5, Batch    256, Loss  0.531375, Average Loss  0.553646, Time  0.258144
2021-09-10 00:18:48.520808 : Epoch  5, Batch    257, Loss  0.550407, Average Loss  0.553634, Time  0.258991
2021-09-10 00:18:50.425047 : Epoch  5, Batch    258, Loss  0.561081, Average Loss  0.553746, Time  0.260403
2021-09-10 00:18:52.315463 : Epoch  5, Batch    259, Loss  0.548943, Average Loss  0.553743, Time  0.261666
2021-09-10 00:18:54.228802 : Epoch  5, Batch    260, Loss  0.552625, Average Loss  0.553669, Time  0.264413
2021-09-10 00:18:56.119904 : Epoch  5, Batch    261, Loss  0.556831, Average Loss  0.553652, Time  0.258533
2021-09-10 00:18:58.029082 : Epoch  5, Batch    262, Loss  0.549764, Average Loss  0.553620, Time  0.262400
2021-09-10 00:18:59.921108 : Epoch  5, Batch    263, Loss  0.545131, Average Loss  0.553582, Time  0.258334
2021-09-10 00:19:01.820909 : Epoch  5, Batch    264, Loss  0.553897, Average Loss  0.553573, Time  0.262934
2021-09-10 00:19:03.717797 : Epoch  5, Batch    265, Loss  0.555210, Average Loss  0.553549, Time  0.266583
2021-09-10 00:19:05.608909 : Epoch  5, Batch    266, Loss  0.548963, Average Loss  0.553503, Time  0.263404
2021-09-10 00:19:07.502771 : Epoch  5, Batch    267, Loss  0.545658, Average Loss  0.553443, Time  0.261838
2021-09-10 00:19:09.388890 : Epoch  5, Batch    268, Loss  0.543192, Average Loss  0.553384, Time  0.260785
2021-09-10 00:19:11.266762 : Epoch  5, Batch    269, Loss  0.565629, Average Loss  0.553403, Time  0.261395
2021-09-10 00:19:13.144903 : Epoch  5, Batch    270, Loss  0.561511, Average Loss  0.553459, Time  0.262072
2021-09-10 00:19:15.037795 : Epoch  5, Batch    271, Loss  0.550899, Average Loss  0.553446, Time  0.258082
2021-09-10 00:19:16.941106 : Epoch  5, Batch    272, Loss  0.553896, Average Loss  0.553449, Time  0.258642
2021-09-10 00:19:18.848083 : Epoch  5, Batch    273, Loss  0.538645, Average Loss  0.553406, Time  0.257958
2021-09-10 00:19:20.768035 : Epoch  5, Batch    274, Loss  0.561938, Average Loss  0.553454, Time  0.257802
2021-09-10 00:19:22.649060 : Epoch  5, Batch    275, Loss  0.555638, Average Loss  0.553437, Time  0.257831
2021-09-10 00:19:24.569888 : Epoch  5, Batch    276, Loss  0.555524, Average Loss  0.553470, Time  0.257981
2021-09-10 00:19:26.477919 : Epoch  5, Batch    277, Loss  0.554948, Average Loss  0.553528, Time  0.265363
2021-09-10 00:19:28.373091 : Epoch  5, Batch    278, Loss  0.542024, Average Loss  0.553459, Time  0.258091
2021-09-10 00:19:30.253799 : Epoch  5, Batch    279, Loss  0.548142, Average Loss  0.553443, Time  0.258264
2021-09-10 00:19:32.133998 : Epoch  5, Batch    280, Loss  0.548785, Average Loss  0.553433, Time  0.259835
2021-09-10 00:19:34.048090 : Epoch  5, Batch    281, Loss  0.543951, Average Loss  0.553372, Time  0.263755
2021-09-10 00:19:35.950114 : Epoch  5, Batch    282, Loss  0.560098, Average Loss  0.553390, Time  0.258515
2021-09-10 00:19:37.842827 : Epoch  5, Batch    283, Loss  0.551004, Average Loss  0.553399, Time  0.258598
2021-09-10 00:19:39.763853 : Epoch  5, Batch    284, Loss  0.547646, Average Loss  0.553321, Time  0.272307
2021-09-10 00:19:41.641865 : Epoch  5, Batch    285, Loss  0.551108, Average Loss  0.553337, Time  0.262218
2021-09-10 00:19:43.520073 : Epoch  5, Batch    286, Loss  0.541786, Average Loss  0.553230, Time  0.258559
2021-09-10 00:19:45.408787 : Epoch  5, Batch    287, Loss  0.550283, Average Loss  0.553132, Time  0.259021
2021-09-10 00:19:47.322793 : Epoch  5, Batch    288, Loss  0.542470, Average Loss  0.553113, Time  0.257784
2021-09-10 00:19:48.650712 : CheckPoint: Validation Loss  0.00063204, Best Loss  0.00056427
2021-09-10 00:19:49.238791 : Epoch  5, Batch    289, Loss  0.543408, Average Loss  0.553089, Time  0.257933
2021-09-10 00:19:50.446617 : Epoch  8, Batch    124, Loss  0.854924, Average Loss  0.870710, Time  0.357308
2021-09-10 00:19:51.144047 : Epoch  5, Batch    290, Loss  0.547344, Average Loss  0.552999, Time  0.257935
2021-09-10 00:19:52.285777 : Epoch  8, Batch    125, Loss  0.867844, Average Loss  0.870796, Time  0.401653
2021-09-10 00:19:53.043811 : Epoch  5, Batch    291, Loss  0.553389, Average Loss  0.553060, Time  0.258012
2021-09-10 00:19:54.170110 : Epoch  8, Batch    126, Loss  0.877566, Average Loss  0.870933, Time  0.456467
2021-09-10 00:19:54.960057 : Epoch  5, Batch    292, Loss  0.553424, Average Loss  0.553040, Time  0.259965
2021-09-10 00:19:55.978776 : Epoch  8, Batch    127, Loss  0.864389, Average Loss  0.870950, Time  0.367427
2021-09-10 00:19:56.849973 : Epoch  5, Batch    293, Loss  0.553220, Average Loss  0.553022, Time  0.258107
2021-09-10 00:19:57.772766 : Epoch  8, Batch    128, Loss  0.878321, Average Loss  0.870958, Time  0.357676
2021-09-10 00:19:58.724827 : Epoch  5, Batch    294, Loss  0.532227, Average Loss  0.552920, Time  0.258263
2021-09-10 00:19:59.593768 : Epoch  8, Batch    129, Loss  0.867909, Average Loss  0.870742, Time  0.360525
2021-09-10 00:20:00.607791 : Epoch  5, Batch    295, Loss  0.551674, Average Loss  0.552894, Time  0.257894
2021-09-10 00:20:01.485785 : Epoch  8, Batch    130, Loss  0.845253, Average Loss  0.870570, Time  0.467011
2021-09-10 00:20:02.508800 : Epoch  5, Batch    296, Loss  0.555349, Average Loss  0.552970, Time  0.258237
2021-09-10 00:20:03.269246 : Epoch  8, Batch    131, Loss  0.863473, Average Loss  0.870521, Time  0.356121
2021-09-10 00:20:04.459769 : Epoch  5, Batch    297, Loss  0.559328, Average Loss  0.553044, Time  0.267447
2021-09-10 00:20:05.091272 : Epoch  8, Batch    132, Loss  0.867036, Average Loss  0.870511, Time  0.355325
2021-09-10 00:20:06.367751 : Epoch  5, Batch    298, Loss  0.556236, Average Loss  0.553106, Time  0.270728
2021-09-10 00:20:06.906186 : Epoch  8, Batch    133, Loss  0.862620, Average Loss  0.870428, Time  0.364990
2021-09-10 00:20:08.239898 : Epoch  5, Batch    299, Loss  0.545205, Average Loss  0.553101, Time  0.260117
2021-09-10 00:20:08.820119 : Epoch  8, Batch    134, Loss  0.850407, Average Loss  0.870328, Time  0.470695
2021-09-10 00:20:10.162792 : Epoch  5, Batch    300, Loss  0.548344, Average Loss  0.553018, Time  0.259252
2021-09-10 00:20:10.704788 : Epoch  8, Batch    135, Loss  0.885975, Average Loss  0.870265, Time  0.439298
2021-09-10 00:20:12.075827 : Epoch  5, Batch    301, Loss  0.545457, Average Loss  0.553031, Time  0.258661
2021-09-10 00:20:12.523765 : Epoch  8, Batch    136, Loss  0.865440, Average Loss  0.870260, Time  0.361763
2021-09-10 00:20:13.952197 : Epoch  5, Batch    302, Loss  0.552499, Average Loss  0.553049, Time  0.259920
2021-09-10 00:20:14.312908 : Epoch  8, Batch    137, Loss  0.865034, Average Loss  0.870222, Time  0.370903
2021-09-10 00:20:15.828563 : Epoch  5, Batch    303, Loss  0.547244, Average Loss  0.552992, Time  0.261402
2021-09-10 00:20:16.180019 : Epoch  8, Batch    138, Loss  0.859358, Average Loss  0.870035, Time  0.435041
2021-09-10 00:20:17.714874 : Epoch  5, Batch    304, Loss  0.548208, Average Loss  0.552952, Time  0.258889
2021-09-10 00:20:18.038788 : Epoch  8, Batch    139, Loss  0.877545, Average Loss  0.870050, Time  0.448509
2021-09-10 00:20:19.606768 : Epoch  5, Batch    305, Loss  0.566537, Average Loss  0.553010, Time  0.276625
2021-09-10 00:20:19.826940 : Epoch  8, Batch    140, Loss  0.860364, Average Loss  0.869961, Time  0.368593
2021-09-10 00:20:21.510080 : Epoch  5, Batch    306, Loss  0.547022, Average Loss  0.552996, Time  0.259008
2021-09-10 00:20:21.609781 : Epoch  8, Batch    141, Loss  0.898006, Average Loss  0.870063, Time  0.356538
2021-09-10 00:20:23.409882 : Epoch  5, Batch    307, Loss  0.547486, Average Loss  0.552928, Time  0.264147
2021-09-10 00:20:23.447801 : Epoch  8, Batch    142, Loss  0.852540, Average Loss  0.870089, Time  0.398769
2021-09-10 00:20:25.290001 : Epoch  5, Batch    308, Loss  0.543574, Average Loss  0.552806, Time  0.263649
2021-09-10 00:20:25.389215 : Epoch  8, Batch    143, Loss  0.879030, Average Loss  0.869989, Time  0.508523
2021-09-10 00:20:27.184786 : Epoch  8, Batch    144, Loss  0.893444, Average Loss  0.870031, Time  0.354748
2021-09-10 00:20:27.240077 : Epoch  5, Batch    309, Loss  0.555981, Average Loss  0.552818, Time  0.258676
2021-09-10 00:20:28.973819 : Epoch  8, Batch    145, Loss  0.887582, Average Loss  0.870144, Time  0.365595
2021-09-10 00:20:29.143883 : Epoch  5, Batch    310, Loss  0.558977, Average Loss  0.552896, Time  0.262127
2021-09-10 00:20:30.753341 : Epoch  8, Batch    146, Loss  0.873801, Average Loss  0.870200, Time  0.360135
2021-09-10 00:20:31.030972 : Epoch  5, Batch    311, Loss  0.565840, Average Loss  0.552990, Time  0.261916
2021-09-10 00:20:32.660796 : Epoch  8, Batch    147, Loss  0.859518, Average Loss  0.870168, Time  0.461388
2021-09-10 00:20:32.928065 : Epoch  5, Batch    312, Loss  0.550444, Average Loss  0.553019, Time  0.263579
2021-09-10 00:20:34.508793 : Epoch  8, Batch    148, Loss  0.853070, Average Loss  0.870033, Time  0.410454
2021-09-10 00:20:34.807985 : Epoch  5, Batch    313, Loss  0.548382, Average Loss  0.552919, Time  0.262499
2021-09-10 00:20:36.280042 : Epoch  8, Batch    149, Loss  0.873511, Average Loss  0.870021, Time  0.361769
2021-09-10 00:20:36.697933 : Epoch  5, Batch    314, Loss  0.557757, Average Loss  0.552895, Time  0.266601
2021-09-10 00:20:38.064774 : Epoch  8, Batch    150, Loss  0.866258, Average Loss  0.869894, Time  0.358292
2021-09-10 00:20:38.583093 : Epoch  5, Batch    315, Loss  0.553274, Average Loss  0.552920, Time  0.264513
2021-09-10 00:20:39.994781 : Epoch  8, Batch    151, Loss  0.873510, Average Loss  0.869824, Time  0.463336
2021-09-10 00:20:40.475130 : Epoch  5, Batch    316, Loss  0.552323, Average Loss  0.552932, Time  0.258363
2021-09-10 00:20:41.910840 : Epoch  8, Batch    152, Loss  0.841390, Average Loss  0.869541, Time  0.452954
2021-09-10 00:20:42.394811 : Epoch  5, Batch    317, Loss  0.551533, Average Loss  0.552885, Time  0.262146
2021-09-10 00:20:43.768795 : Epoch  8, Batch    153, Loss  0.853415, Average Loss  0.869377, Time  0.417931
2021-09-10 00:20:44.278976 : Epoch  5, Batch    318, Loss  0.556498, Average Loss  0.552948, Time  0.264868
2021-09-10 00:20:45.542778 : Epoch  8, Batch    154, Loss  0.882777, Average Loss  0.869398, Time  0.358255
2021-09-10 00:20:46.173081 : Epoch  5, Batch    319, Loss  0.551688, Average Loss  0.552878, Time  0.270569
2021-09-10 00:20:47.337115 : Epoch  8, Batch    155, Loss  0.881524, Average Loss  0.869614, Time  0.365746
2021-09-10 00:20:48.064030 : Epoch  5, Batch    320, Loss  0.540232, Average Loss  0.552847, Time  0.258563
2021-09-10 00:20:49.209906 : Epoch  8, Batch    156, Loss  0.882439, Average Loss  0.869778, Time  0.436948
2021-09-10 00:20:49.951822 : Epoch  5, Batch    321, Loss  0.560502, Average Loss  0.552833, Time  0.258735
2021-09-10 00:20:51.106792 : Epoch  8, Batch    157, Loss  0.852377, Average Loss  0.869623, Time  0.448682
2021-09-10 00:20:51.831737 : Epoch  5, Batch    322, Loss  0.553241, Average Loss  0.552851, Time  0.258430
2021-09-10 00:20:52.909962 : Epoch  8, Batch    158, Loss  0.851685, Average Loss  0.869501, Time  0.359779
2021-09-10 00:20:54.735763 : Epoch  8, Batch    159, Loss  0.867949, Average Loss  0.869494, Time  0.380964
2021-09-10 00:20:55.817871 : Epoch  5, Batch    323, Loss  0.566509, Average Loss  0.552853, Time  0.272389
2021-09-10 00:20:56.546779 : Epoch  8, Batch    160, Loss  0.880289, Average Loss  0.869459, Time  0.375105
2021-09-10 00:20:57.712999 : Epoch  5, Batch    324, Loss  0.545535, Average Loss  0.552802, Time  0.265494
2021-09-10 00:20:58.441776 : Epoch  8, Batch    161, Loss  0.852965, Average Loss  0.869367, Time  0.461694
2021-09-10 00:20:59.599810 : Epoch  5, Batch    325, Loss  0.558810, Average Loss  0.552776, Time  0.258955
2021-09-10 00:21:00.261776 : Epoch  8, Batch    162, Loss  0.875390, Average Loss  0.869348, Time  0.382894
2021-09-10 00:21:01.484087 : Epoch  5, Batch    326, Loss  0.541520, Average Loss  0.552701, Time  0.258659
2021-09-10 00:21:02.076777 : Epoch  8, Batch    163, Loss  0.869768, Average Loss  0.869399, Time  0.382539
2021-09-10 00:21:03.359090 : Epoch  5, Batch    327, Loss  0.548507, Average Loss  0.552679, Time  0.259078
2021-09-10 00:21:03.883783 : Epoch  8, Batch    164, Loss  0.878543, Average Loss  0.869599, Time  0.362224
2021-09-10 00:21:05.251900 : Epoch  5, Batch    328, Loss  0.552058, Average Loss  0.552632, Time  0.261329
2021-09-10 00:21:05.778776 : Epoch  8, Batch    165, Loss  0.863443, Average Loss  0.869543, Time  0.459770
2021-09-10 00:21:07.126214 : Epoch  5, Batch    329, Loss  0.546988, Average Loss  0.552612, Time  0.266352
2021-09-10 00:21:07.659789 : Epoch  8, Batch    166, Loss  0.863593, Average Loss  0.869512, Time  0.459339
2021-09-10 00:21:08.993117 : Epoch  5, Batch    330, Loss  0.542184, Average Loss  0.552548, Time  0.260717
2021-09-10 00:21:09.432005 : Epoch  8, Batch    167, Loss  0.880113, Average Loss  0.869612, Time  0.358532
2021-09-10 00:21:10.865959 : Epoch  5, Batch    331, Loss  0.541740, Average Loss  0.552473, Time  0.258334
2021-09-10 00:21:11.188222 : Epoch  8, Batch    168, Loss  0.885818, Average Loss  0.869913, Time  0.356863
2021-09-10 00:21:12.742839 : Epoch  5, Batch    332, Loss  0.554599, Average Loss  0.552418, Time  0.261880
2021-09-10 00:21:13.005995 : Epoch  8, Batch    169, Loss  0.840944, Average Loss  0.869697, Time  0.418356
2021-09-10 00:21:14.633915 : Epoch  5, Batch    333, Loss  0.549082, Average Loss  0.552398, Time  0.258733
2021-09-10 00:21:14.882790 : Epoch  8, Batch    170, Loss  0.893908, Average Loss  0.869850, Time  0.453468
2021-09-10 00:21:16.523411 : Epoch  5, Batch    334, Loss  0.555830, Average Loss  0.552461, Time  0.259016
2021-09-10 00:21:16.677681 : Epoch  8, Batch    171, Loss  0.859293, Average Loss  0.869896, Time  0.357900
2021-09-10 00:21:18.426831 : Epoch  5, Batch    335, Loss  0.542998, Average Loss  0.552375, Time  0.262067
2021-09-10 00:21:18.473174 : Epoch  8, Batch    172, Loss  0.860975, Average Loss  0.869944, Time  0.369111
2021-09-10 00:21:20.308948 : Epoch  8, Batch    173, Loss  0.851881, Average Loss  0.869725, Time  0.376467
2021-09-10 00:21:20.346471 : Epoch  5, Batch    336, Loss  0.552864, Average Loss  0.552425, Time  0.259027
2021-09-10 00:21:22.187933 : Epoch  8, Batch    174, Loss  0.879685, Average Loss  0.869714, Time  0.454135
2021-09-10 00:21:22.234078 : Epoch  5, Batch    337, Loss  0.551026, Average Loss  0.552429, Time  0.260682
2021-09-10 00:21:23.986788 : Epoch  8, Batch    175, Loss  0.859667, Average Loss  0.869580, Time  0.359587
2021-09-10 00:21:24.136794 : Epoch  5, Batch    338, Loss  0.541551, Average Loss  0.552318, Time  0.257853
2021-09-10 00:21:25.781700 : Epoch  8, Batch    176, Loss  0.860280, Average Loss  0.869442, Time  0.358568
2021-09-10 00:21:26.019061 : Epoch  5, Batch    339, Loss  0.546197, Average Loss  0.552249, Time  0.258061
2021-09-10 00:21:27.701284 : Epoch  8, Batch    177, Loss  0.850350, Average Loss  0.869328, Time  0.467108
2021-09-10 00:21:27.947089 : Epoch  5, Batch    340, Loss  0.556959, Average Loss  0.552194, Time  0.258332
2021-09-10 00:21:29.619808 : Epoch  8, Batch    178, Loss  0.865622, Average Loss  0.869126, Time  0.465625
2021-09-10 00:21:29.837781 : Epoch  5, Batch    341, Loss  0.561160, Average Loss  0.552232, Time  0.257870
2021-09-10 00:21:31.392782 : Epoch  8, Batch    179, Loss  0.878979, Average Loss  0.869330, Time  0.360988
2021-09-10 00:21:31.745945 : Epoch  5, Batch    342, Loss  0.542202, Average Loss  0.552230, Time  0.258636
2021-09-10 00:21:33.178768 : Epoch  8, Batch    180, Loss  0.885916, Average Loss  0.869372, Time  0.366449
2021-09-10 00:21:33.641060 : Epoch  5, Batch    343, Loss  0.553786, Average Loss  0.552282, Time  0.257816
2021-09-10 00:21:35.022778 : Epoch  8, Batch    181, Loss  0.863036, Average Loss  0.869417, Time  0.405182
2021-09-10 00:21:35.547877 : Epoch  5, Batch    344, Loss  0.539262, Average Loss  0.552168, Time  0.257993
2021-09-10 00:21:36.927789 : Epoch  8, Batch    182, Loss  0.866235, Average Loss  0.869423, Time  0.456090
2021-09-10 00:21:37.439883 : Epoch  5, Batch    345, Loss  0.553303, Average Loss  0.552102, Time  0.257552
2021-09-10 00:21:38.701774 : Epoch  8, Batch    183, Loss  0.850623, Average Loss  0.869513, Time  0.357837
2021-09-10 00:21:39.335320 : Epoch  5, Batch    346, Loss  0.547017, Average Loss  0.552075, Time  0.257934
2021-09-10 00:21:40.508815 : Epoch  8, Batch    184, Loss  0.883501, Average Loss  0.869674, Time  0.366744
2021-09-10 00:21:41.224845 : Epoch  5, Batch    347, Loss  0.539086, Average Loss  0.552005, Time  0.257835
2021-09-10 00:21:42.307780 : Epoch  8, Batch    185, Loss  0.839091, Average Loss  0.869394, Time  0.368618
2021-09-10 00:21:43.122815 : Epoch  5, Batch    348, Loss  0.548832, Average Loss  0.551998, Time  0.258135
2021-09-10 00:21:44.207784 : Epoch  8, Batch    186, Loss  0.863331, Average Loss  0.869226, Time  0.457908
2021-09-10 00:21:45.026849 : Epoch  5, Batch    349, Loss  0.543587, Average Loss  0.551947, Time  0.257994
2021-09-10 00:21:45.996779 : Epoch  8, Batch    187, Loss  0.845548, Average Loss  0.869072, Time  0.358336
2021-09-10 00:21:46.931067 : Epoch  5, Batch    350, Loss  0.553225, Average Loss  0.552017, Time  0.257783
2021-09-10 00:21:47.806785 : Epoch  8, Batch    188, Loss  0.854764, Average Loss  0.868988, Time  0.373731
2021-09-10 00:21:48.837799 : Epoch  5, Batch    351, Loss  0.540847, Average Loss  0.551975, Time  0.257588
2021-09-10 00:21:49.607859 : Epoch  8, Batch    189, Loss  0.896851, Average Loss  0.869150, Time  0.357258
2021-09-10 00:21:50.752872 : Epoch  5, Batch    352, Loss  0.546118, Average Loss  0.551902, Time  0.257764
2021-09-10 00:21:51.496954 : Epoch  8, Batch    190, Loss  0.873122, Average Loss  0.869195, Time  0.456177
2021-09-10 00:21:53.275388 : Epoch  8, Batch    191, Loss  0.878949, Average Loss  0.869243, Time  0.354970
2021-09-10 00:21:55.068150 : Epoch  8, Batch    192, Loss  0.861131, Average Loss  0.869269, Time  0.362685
2021-09-10 00:21:56.849886 : Epoch  8, Batch    193, Loss  0.871112, Average Loss  0.869335, Time  0.376138
2021-09-10 00:21:58.764772 : Epoch  8, Batch    194, Loss  0.860575, Average Loss  0.869356, Time  0.465342
2021-09-10 00:22:00.638814 : Epoch  8, Batch    195, Loss  0.838151, Average Loss  0.869237, Time  0.420662
2021-09-10 00:22:02.425674 : Epoch  8, Batch    196, Loss  0.859466, Average Loss  0.869102, Time  0.361070
2021-09-10 00:22:04.206820 : Epoch  8, Batch    197, Loss  0.875013, Average Loss  0.869064, Time  0.357234
2021-09-10 00:22:06.076781 : Epoch  8, Batch    198, Loss  0.854519, Average Loss  0.869066, Time  0.437408
2021-09-10 00:22:07.945151 : Epoch  8, Batch    199, Loss  0.838454, Average Loss  0.868907, Time  0.463012
2021-09-10 00:22:09.724804 : Epoch  8, Batch    200, Loss  0.866580, Average Loss  0.868857, Time  0.356959
2021-09-10 00:22:11.533780 : Epoch  8, Batch    201, Loss  0.851561, Average Loss  0.868695, Time  0.375731
2021-09-10 00:22:13.354779 : Epoch  8, Batch    202, Loss  0.867341, Average Loss  0.868761, Time  0.381915
2021-09-10 00:22:15.223119 : Epoch  8, Batch    203, Loss  0.870516, Average Loss  0.868710, Time  0.457616
2021-09-10 00:22:17.049799 : Epoch  8, Batch    204, Loss  0.889733, Average Loss  0.868842, Time  0.367895
2021-09-10 00:22:18.846146 : Epoch  8, Batch    205, Loss  0.868011, Average Loss  0.868997, Time  0.356263
2021-09-10 00:22:20.642799 : Epoch  8, Batch    206, Loss  0.865344, Average Loss  0.868827, Time  0.388136
2021-09-10 00:22:22.541813 : Epoch  8, Batch    207, Loss  0.871164, Average Loss  0.868901, Time  0.461700
2021-09-10 00:22:24.323779 : Epoch  8, Batch    208, Loss  0.833975, Average Loss  0.868665, Time  0.342730
2021-09-10 00:22:26.105143 : Epoch  8, Batch    209, Loss  0.851649, Average Loss  0.868638, Time  0.357175
2021-09-10 00:22:27.920147 : Epoch  8, Batch    210, Loss  0.860353, Average Loss  0.868561, Time  0.368958
2021-09-10 00:22:29.823870 : Epoch  8, Batch    211, Loss  0.872453, Average Loss  0.868560, Time  0.459725
2021-09-10 00:22:31.692798 : Epoch  8, Batch    212, Loss  0.847236, Average Loss  0.868476, Time  0.421465
2021-09-10 00:22:33.509819 : Epoch  8, Batch    213, Loss  0.852908, Average Loss  0.868438, Time  0.358183
2021-09-10 00:22:35.307769 : Epoch  8, Batch    214, Loss  0.871485, Average Loss  0.868322, Time  0.362281
2021-09-10 00:22:37.170133 : Epoch  8, Batch    215, Loss  0.861340, Average Loss  0.868386, Time  0.423033
2021-09-10 00:22:39.056767 : Epoch  8, Batch    216, Loss  0.849084, Average Loss  0.868417, Time  0.454918
2021-09-10 00:22:40.854780 : Epoch  8, Batch    217, Loss  0.859041, Average Loss  0.868449, Time  0.361991
2021-09-10 00:22:42.651855 : Epoch  8, Batch    218, Loss  0.844116, Average Loss  0.868353, Time  0.374696
2021-09-10 00:22:44.471778 : Epoch  8, Batch    219, Loss  0.826348, Average Loss  0.868186, Time  0.388183
2021-09-10 00:22:46.380981 : Epoch  8, Batch    220, Loss  0.849294, Average Loss  0.868100, Time  0.454599
2021-09-10 00:22:48.223029 : Epoch  8, Batch    221, Loss  0.860356, Average Loss  0.868099, Time  0.407307
2021-09-10 00:22:50.016777 : Epoch  8, Batch    222, Loss  0.846547, Average Loss  0.867980, Time  0.363019
2021-09-10 00:22:51.830769 : Epoch  8, Batch    223, Loss  0.879673, Average Loss  0.867833, Time  0.359642
2021-09-10 00:23:00.279729 : CheckPoint: Validation Loss  0.00023334, Best Loss  0.00022628
2021-09-10 00:23:02.195851 : Epoch  5, Batch    353, Loss  0.554652, Average Loss  0.551849, Time  0.264143
2021-09-10 00:23:04.075861 : Epoch  5, Batch    354, Loss  0.565939, Average Loss  0.551954, Time  0.257706
2021-09-10 00:23:05.974985 : Epoch  5, Batch    355, Loss  0.549972, Average Loss  0.551961, Time  0.258018
2021-09-10 00:23:07.861770 : Epoch  5, Batch    356, Loss  0.557490, Average Loss  0.552026, Time  0.263054
2021-09-10 00:23:09.734917 : Epoch  5, Batch    357, Loss  0.566898, Average Loss  0.552159, Time  0.260740
2021-09-10 00:23:11.636879 : Epoch  5, Batch    358, Loss  0.535758, Average Loss  0.552047, Time  0.260780
2021-09-10 00:23:13.525936 : Epoch  5, Batch    359, Loss  0.553398, Average Loss  0.552034, Time  0.262308
2021-09-10 00:23:15.415850 : Epoch  5, Batch    360, Loss  0.548580, Average Loss  0.551940, Time  0.263194
2021-09-10 00:23:17.295187 : Epoch  5, Batch    361, Loss  0.553119, Average Loss  0.551888, Time  0.260401
2021-09-10 00:23:19.162833 : Epoch  5, Batch    362, Loss  0.550384, Average Loss  0.551882, Time  0.261458
2021-09-10 00:23:21.047070 : Epoch  5, Batch    363, Loss  0.555280, Average Loss  0.551832, Time  0.263979
2021-09-10 00:23:22.948085 : Epoch  5, Batch    364, Loss  0.552151, Average Loss  0.551850, Time  0.266246
2021-09-10 00:23:24.831122 : Epoch  5, Batch    365, Loss  0.540403, Average Loss  0.551761, Time  0.261821
2021-09-10 00:23:26.734148 : Epoch  5, Batch    366, Loss  0.550103, Average Loss  0.551748, Time  0.274492
2021-09-10 00:23:28.652762 : Epoch  5, Batch    367, Loss  0.553135, Average Loss  0.551729, Time  0.278096
2021-09-10 00:23:30.562077 : Epoch  5, Batch    368, Loss  0.549185, Average Loss  0.551704, Time  0.260992
2021-09-10 00:23:32.470892 : Epoch  5, Batch    369, Loss  0.554780, Average Loss  0.551666, Time  0.268594
2021-09-10 00:23:34.378926 : Epoch  5, Batch    370, Loss  0.554013, Average Loss  0.551651, Time  0.263397
2021-09-10 00:23:36.261101 : Epoch  5, Batch    371, Loss  0.561632, Average Loss  0.551689, Time  0.258739
2021-09-10 00:23:38.139104 : Epoch  5, Batch    372, Loss  0.558797, Average Loss  0.551789, Time  0.262577
2021-09-10 00:23:40.019795 : Epoch  5, Batch    373, Loss  0.552060, Average Loss  0.551687, Time  0.262073
2021-09-10 00:23:41.938077 : Epoch  5, Batch    374, Loss  0.542818, Average Loss  0.551657, Time  0.258025
2021-09-10 00:23:43.823074 : Epoch  5, Batch    375, Loss  0.549240, Average Loss  0.551599, Time  0.259153
2021-09-10 00:23:45.717323 : Epoch  5, Batch    376, Loss  0.561014, Average Loss  0.551603, Time  0.258213
2021-09-10 00:23:47.599085 : Epoch  5, Batch    377, Loss  0.560706, Average Loss  0.551609, Time  0.259053
2021-09-10 00:23:49.488913 : Epoch  5, Batch    378, Loss  0.548033, Average Loss  0.551542, Time  0.258311
2021-09-10 00:23:51.375779 : Epoch  5, Batch    379, Loss  0.541149, Average Loss  0.551493, Time  0.263274
2021-09-10 00:23:53.290839 : Epoch  5, Batch    380, Loss  0.562564, Average Loss  0.551597, Time  0.259535
2021-09-10 00:23:55.175882 : Epoch  5, Batch    381, Loss  0.544526, Average Loss  0.551546, Time  0.262048
2021-09-10 00:23:57.055084 : Epoch  5, Batch    382, Loss  0.545907, Average Loss  0.551492, Time  0.259401
2021-09-10 00:23:58.942158 : Epoch  5, Batch    383, Loss  0.549523, Average Loss  0.551526, Time  0.262130
2021-09-10 00:24:00.819866 : Epoch  5, Batch    384, Loss  0.561125, Average Loss  0.551524, Time  0.261289
2021-09-10 00:24:02.715827 : Epoch  5, Batch    385, Loss  0.547741, Average Loss  0.551517, Time  0.261868
2021-09-10 00:24:04.596081 : Epoch  5, Batch    386, Loss  0.556421, Average Loss  0.551563, Time  0.258409
2021-09-10 00:24:06.486777 : Epoch  5, Batch    387, Loss  0.570979, Average Loss  0.551605, Time  0.262017
2021-09-10 00:24:08.379094 : Epoch  5, Batch    388, Loss  0.553543, Average Loss  0.551643, Time  0.258398
2021-09-10 00:24:10.261820 : Epoch  5, Batch    389, Loss  0.550749, Average Loss  0.551611, Time  0.258043
2021-09-10 00:24:12.140999 : Epoch  5, Batch    390, Loss  0.550335, Average Loss  0.551602, Time  0.262366
2021-09-10 00:24:14.026079 : Epoch  5, Batch    391, Loss  0.547574, Average Loss  0.551573, Time  0.261717
2021-09-10 00:24:15.892767 : Epoch  5, Batch    392, Loss  0.540269, Average Loss  0.551499, Time  0.262182
2021-09-10 00:24:17.773914 : Epoch  5, Batch    393, Loss  0.551994, Average Loss  0.551486, Time  0.261984
2021-09-10 00:24:19.649138 : Epoch  5, Batch    394, Loss  0.560682, Average Loss  0.551520, Time  0.258149
2021-09-10 00:24:21.521790 : Epoch  5, Batch    395, Loss  0.543461, Average Loss  0.551487, Time  0.261681
2021-09-10 00:24:23.381980 : Epoch  5, Batch    396, Loss  0.559153, Average Loss  0.551491, Time  0.258940
2021-09-10 00:24:25.257140 : Epoch  5, Batch    397, Loss  0.550036, Average Loss  0.551490, Time  0.258719
2021-09-10 00:24:27.143087 : Epoch  5, Batch    398, Loss  0.543893, Average Loss  0.551518, Time  0.262198
2021-09-10 00:24:29.021076 : Epoch  5, Batch    399, Loss  0.546396, Average Loss  0.551469, Time  0.257949
2021-09-10 00:24:30.894077 : Epoch  5, Batch    400, Loss  0.554002, Average Loss  0.551426, Time  0.258778
2021-09-10 00:24:32.768786 : Epoch  5, Batch    401, Loss  0.550186, Average Loss  0.551461, Time  0.258987
2021-09-10 00:24:34.667780 : Epoch  5, Batch    402, Loss  0.550044, Average Loss  0.551492, Time  0.265273
2021-09-10 00:24:36.531803 : Epoch  5, Batch    403, Loss  0.559882, Average Loss  0.551495, Time  0.258661
2021-09-10 00:24:38.417047 : Epoch  5, Batch    404, Loss  0.547592, Average Loss  0.551497, Time  0.258487
2021-09-10 00:24:40.304078 : Epoch  5, Batch    405, Loss  0.550029, Average Loss  0.551416, Time  0.257831
2021-09-10 00:24:42.227107 : Epoch  5, Batch    406, Loss  0.550141, Average Loss  0.551408, Time  0.258422
2021-09-10 00:24:44.099693 : Epoch  5, Batch    407, Loss  0.549204, Average Loss  0.551401, Time  0.258211
2021-09-10 00:24:45.974874 : Epoch  5, Batch    408, Loss  0.543039, Average Loss  0.551419, Time  0.259740
2021-09-10 00:24:47.859861 : Epoch  5, Batch    409, Loss  0.550817, Average Loss  0.551437, Time  0.258269
2021-09-10 00:24:49.754872 : Epoch  5, Batch    410, Loss  0.549545, Average Loss  0.551431, Time  0.258879
2021-09-10 00:24:51.656128 : Epoch  5, Batch    411, Loss  0.550412, Average Loss  0.551425, Time  0.268052
2021-09-10 00:24:53.539085 : Epoch  5, Batch    412, Loss  0.546699, Average Loss  0.551408, Time  0.258788
2021-09-10 00:24:55.407875 : Epoch  5, Batch    413, Loss  0.557447, Average Loss  0.551466, Time  0.260770
2021-09-10 00:24:57.283871 : Epoch  5, Batch    414, Loss  0.544852, Average Loss  0.551379, Time  0.258001
2021-09-10 00:24:59.164837 : Epoch  5, Batch    415, Loss  0.556680, Average Loss  0.551432, Time  0.258749
2021-09-10 00:25:01.062903 : Epoch  5, Batch    416, Loss  0.566152, Average Loss  0.551528, Time  0.259984
2021-09-10 00:25:03.007919 : Epoch  5, Batch    417, Loss  0.547099, Average Loss  0.551544, Time  0.258621
2021-09-10 00:25:04.884968 : Epoch  5, Batch    418, Loss  0.536916, Average Loss  0.551443, Time  0.258342
2021-09-10 00:25:06.763045 : Epoch  5, Batch    419, Loss  0.547717, Average Loss  0.551367, Time  0.258241
2021-09-10 00:25:08.643047 : Epoch  5, Batch    420, Loss  0.544561, Average Loss  0.551291, Time  0.258328
2021-09-10 00:25:10.551081 : Epoch  5, Batch    421, Loss  0.546827, Average Loss  0.551298, Time  0.261844
2021-09-10 00:25:12.421843 : Epoch  5, Batch    422, Loss  0.534242, Average Loss  0.551203, Time  0.258314
2021-09-10 00:25:16.441778 : Epoch  5, Batch    423, Loss  0.548425, Average Loss  0.551184, Time  0.278876
2021-09-10 00:25:18.332060 : Epoch  5, Batch    424, Loss  0.533677, Average Loss  0.551112, Time  0.257761
2021-09-10 00:25:20.226242 : Epoch  5, Batch    425, Loss  0.538979, Average Loss  0.551043, Time  0.257895
2021-09-10 00:25:22.119046 : Epoch  5, Batch    426, Loss  0.570893, Average Loss  0.551146, Time  0.258270
2021-09-10 00:25:24.013893 : Epoch  5, Batch    427, Loss  0.537718, Average Loss  0.551061, Time  0.258312
2021-09-10 00:25:25.897085 : Epoch  5, Batch    428, Loss  0.542560, Average Loss  0.551022, Time  0.262074
2021-09-10 00:25:27.773572 : Epoch  5, Batch    429, Loss  0.540974, Average Loss  0.551001, Time  0.259487
2021-09-10 00:25:29.667083 : Epoch  5, Batch    430, Loss  0.546421, Average Loss  0.551013, Time  0.262221
2021-09-10 00:25:31.562887 : Epoch  5, Batch    431, Loss  0.549464, Average Loss  0.550942, Time  0.260736
2021-09-10 00:25:33.461899 : Epoch  5, Batch    432, Loss  0.551722, Average Loss  0.550970, Time  0.258723
2021-09-10 00:25:35.341695 : Epoch  5, Batch    433, Loss  0.558669, Average Loss  0.550956, Time  0.262028
2021-09-10 00:25:37.228870 : Epoch  5, Batch    434, Loss  0.550965, Average Loss  0.550984, Time  0.257873
2021-09-10 00:25:39.128611 : Epoch  5, Batch    435, Loss  0.533888, Average Loss  0.550908, Time  0.259479
2021-09-10 00:25:41.061091 : Epoch  5, Batch    436, Loss  0.543988, Average Loss  0.550823, Time  0.259131
2021-09-10 00:25:43.005812 : Epoch  5, Batch    437, Loss  0.535213, Average Loss  0.550670, Time  0.257879
2021-09-10 00:25:44.896912 : Epoch  5, Batch    438, Loss  0.541388, Average Loss  0.550579, Time  0.258174
2021-09-10 00:25:46.823056 : Epoch  5, Batch    439, Loss  0.557843, Average Loss  0.550607, Time  0.258151
2021-09-10 00:25:48.725845 : Epoch  5, Batch    440, Loss  0.554927, Average Loss  0.550659, Time  0.258074
2021-09-10 00:25:50.621872 : Epoch  5, Batch    441, Loss  0.540183, Average Loss  0.550517, Time  0.258248
2021-09-10 00:25:52.503795 : Epoch  5, Batch    442, Loss  0.550724, Average Loss  0.550554, Time  0.258060
2021-09-10 00:25:54.389880 : Epoch  5, Batch    443, Loss  0.550384, Average Loss  0.550510, Time  0.262338
2021-09-10 00:25:56.280088 : Epoch  5, Batch    444, Loss  0.550048, Average Loss  0.550560, Time  0.258612
2021-09-10 00:25:58.171093 : Epoch  5, Batch    445, Loss  0.552994, Average Loss  0.550526, Time  0.258197
2021-09-10 00:26:00.093062 : Epoch  5, Batch    446, Loss  0.548310, Average Loss  0.550499, Time  0.258251
2021-09-10 00:26:02.014761 : Epoch  5, Batch    447, Loss  0.557553, Average Loss  0.550471, Time  0.258589
2021-09-10 00:26:03.917908 : Epoch  5, Batch    448, Loss  0.562246, Average Loss  0.550530, Time  0.258173
2021-09-10 00:26:05.818067 : Epoch  5, Batch    449, Loss  0.556589, Average Loss  0.550500, Time  0.257911
2021-09-10 00:26:07.717952 : Epoch  5, Batch    450, Loss  0.552833, Average Loss  0.550543, Time  0.258090
2021-09-10 00:26:09.613891 : Epoch  5, Batch    451, Loss  0.552689, Average Loss  0.550523, Time  0.257846
2021-09-10 00:26:11.515097 : Epoch  5, Batch    452, Loss  0.550126, Average Loss  0.550533, Time  0.258014
2021-09-10 00:27:21.295754 : CheckPoint: Validation Loss  0.00022509, Best Loss  0.00022509
2021-09-10 00:27:21.389626 : Best Model Updated
2021-09-10 00:27:24.375939 : Epoch  5, Batch    453, Loss  0.549259, Average Loss  0.550477, Time  0.265279
2021-09-10 00:27:26.284010 : Epoch  5, Batch    454, Loss  0.560959, Average Loss  0.550539, Time  0.257828
2021-09-10 00:27:28.187774 : Epoch  5, Batch    455, Loss  0.545463, Average Loss  0.550480, Time  0.258635
2021-09-10 00:27:30.086853 : Epoch  5, Batch    456, Loss  0.553324, Average Loss  0.550590, Time  0.258502
2021-09-10 00:27:31.972828 : Epoch  5, Batch    457, Loss  0.558524, Average Loss  0.550630, Time  0.261345
2021-09-10 00:27:33.850079 : Epoch  5, Batch    458, Loss  0.549676, Average Loss  0.550573, Time  0.262463
2021-09-10 00:27:35.737789 : Epoch  5, Batch    459, Loss  0.562566, Average Loss  0.550641, Time  0.262482
2021-09-10 00:27:37.631863 : Epoch  5, Batch    460, Loss  0.557988, Average Loss  0.550668, Time  0.258167
2021-09-10 00:27:39.546821 : Epoch  5, Batch    461, Loss  0.554645, Average Loss  0.550657, Time  0.258255
2021-09-10 00:27:41.467816 : Epoch  5, Batch    462, Loss  0.559362, Average Loss  0.550705, Time  0.260278
2021-09-10 00:27:43.365501 : Epoch  5, Batch    463, Loss  0.548440, Average Loss  0.550722, Time  0.258612
2021-09-10 00:27:43.401679 : CheckPoint: Validation Loss  0.00058448, Best Loss  0.00056427
2021-09-10 00:27:45.232894 : Epoch  5, Batch    464, Loss  0.537846, Average Loss  0.550641, Time  0.257934
2021-09-10 00:27:45.280014 : Epoch  8, Batch    224, Loss  0.875324, Average Loss  0.867866, Time  0.407595
2021-09-10 00:27:47.126780 : Epoch  5, Batch    465, Loss  0.549439, Average Loss  0.550612, Time  0.258809
2021-09-10 00:27:47.174758 : Epoch  8, Batch    225, Loss  0.859051, Average Loss  0.867769, Time  0.455389
2021-09-10 00:27:48.952377 : Epoch  8, Batch    226, Loss  0.875438, Average Loss  0.867733, Time  0.354467
2021-09-10 00:27:49.010843 : Epoch  5, Batch    466, Loss  0.552330, Average Loss  0.550629, Time  0.258372
2021-09-10 00:27:50.725203 : Epoch  8, Batch    227, Loss  0.860016, Average Loss  0.867910, Time  0.357538
2021-09-10 00:27:50.888820 : Epoch  5, Batch    467, Loss  0.540170, Average Loss  0.550602, Time  0.257875
2021-09-10 00:27:52.526807 : Epoch  8, Batch    228, Loss  0.851448, Average Loss  0.867706, Time  0.364228
2021-09-10 00:27:52.764914 : Epoch  5, Batch    468, Loss  0.538693, Average Loss  0.550579, Time  0.258265
2021-09-10 00:27:54.420780 : Epoch  8, Batch    229, Loss  0.887396, Average Loss  0.867940, Time  0.450861
2021-09-10 00:27:54.641893 : Epoch  5, Batch    469, Loss  0.556133, Average Loss  0.550532, Time  0.257631
2021-09-10 00:27:56.277782 : Epoch  8, Batch    230, Loss  0.866014, Average Loss  0.867898, Time  0.407558
2021-09-10 00:27:56.530760 : Epoch  5, Batch    470, Loss  0.543536, Average Loss  0.550442, Time  0.258217
2021-09-10 00:27:58.073098 : Epoch  8, Batch    231, Loss  0.865169, Average Loss  0.867867, Time  0.357470
2021-09-10 00:27:58.421768 : Epoch  5, Batch    471, Loss  0.552514, Average Loss  0.550450, Time  0.258034
2021-09-10 00:27:59.863776 : Epoch  8, Batch    232, Loss  0.839419, Average Loss  0.867640, Time  0.355589
2021-09-10 00:28:00.334048 : Epoch  5, Batch    472, Loss  0.549278, Average Loss  0.550427, Time  0.258034
2021-09-10 00:28:01.760109 : Epoch  8, Batch    233, Loss  0.862813, Average Loss  0.867487, Time  0.429858
2021-09-10 00:28:02.227913 : Epoch  5, Batch    473, Loss  0.548493, Average Loss  0.550476, Time  0.257959
2021-09-10 00:28:03.667784 : Epoch  8, Batch    234, Loss  0.911831, Average Loss  0.867744, Time  0.462780
2021-09-10 00:28:04.120051 : Epoch  5, Batch    474, Loss  0.556699, Average Loss  0.550450, Time  0.258051
2021-09-10 00:28:05.462768 : Epoch  8, Batch    235, Loss  0.882850, Average Loss  0.867878, Time  0.343517
2021-09-10 00:28:06.022787 : Epoch  5, Batch    475, Loss  0.555385, Average Loss  0.550449, Time  0.258048
2021-09-10 00:28:07.291777 : Epoch  8, Batch    236, Loss  0.861690, Average Loss  0.867863, Time  0.355514
2021-09-10 00:28:07.936067 : Epoch  5, Batch    476, Loss  0.527043, Average Loss  0.550306, Time  0.258231
2021-09-10 00:28:09.094785 : Epoch  8, Batch    237, Loss  0.887911, Average Loss  0.867963, Time  0.356072
2021-09-10 00:28:09.842856 : Epoch  5, Batch    477, Loss  0.544035, Average Loss  0.550252, Time  0.258400
2021-09-10 00:28:10.998763 : Epoch  8, Batch    238, Loss  0.874516, Average Loss  0.867961, Time  0.451487
2021-09-10 00:28:11.716958 : Epoch  5, Batch    478, Loss  0.544597, Average Loss  0.550265, Time  0.258577
2021-09-10 00:28:12.885787 : Epoch  8, Batch    239, Loss  0.871281, Average Loss  0.867915, Time  0.445626
2021-09-10 00:28:13.607810 : Epoch  5, Batch    479, Loss  0.547318, Average Loss  0.550261, Time  0.257677
2021-09-10 00:28:14.689765 : Epoch  8, Batch    240, Loss  0.882505, Average Loss  0.868024, Time  0.389355
2021-09-10 00:28:15.520065 : Epoch  5, Batch    480, Loss  0.548562, Average Loss  0.550259, Time  0.257750
2021-09-10 00:28:16.475772 : Epoch  8, Batch    241, Loss  0.894818, Average Loss  0.868107, Time  0.356135
2021-09-10 00:28:17.455848 : Epoch  5, Batch    481, Loss  0.549264, Average Loss  0.550286, Time  0.258100
2021-09-10 00:28:18.334792 : Epoch  8, Batch    242, Loss  0.900085, Average Loss  0.868289, Time  0.398524
2021-09-10 00:28:19.364935 : Epoch  5, Batch    482, Loss  0.544770, Average Loss  0.550209, Time  0.257931
2021-09-10 00:28:20.224029 : Epoch  8, Batch    243, Loss  0.860319, Average Loss  0.868237, Time  0.464956
2021-09-10 00:28:21.295888 : Epoch  5, Batch    483, Loss  0.553084, Average Loss  0.550220, Time  0.257903
2021-09-10 00:28:22.004342 : Epoch  8, Batch    244, Loss  0.876488, Average Loss  0.868285, Time  0.367020
2021-09-10 00:28:23.177848 : Epoch  5, Batch    484, Loss  0.554525, Average Loss  0.550254, Time  0.264006
2021-09-10 00:28:23.770799 : Epoch  8, Batch    245, Loss  0.844117, Average Loss  0.868065, Time  0.357633
2021-09-10 00:28:25.061791 : Epoch  5, Batch    485, Loss  0.546408, Average Loss  0.550231, Time  0.258238
2021-09-10 00:28:25.583966 : Epoch  8, Batch    246, Loss  0.871127, Average Loss  0.868099, Time  0.378709
2021-09-10 00:28:26.930819 : Epoch  5, Batch    486, Loss  0.558293, Average Loss  0.550313, Time  0.261561
2021-09-10 00:28:27.499781 : Epoch  8, Batch    247, Loss  0.832754, Average Loss  0.867880, Time  0.459849
2021-09-10 00:28:28.825921 : Epoch  5, Batch    487, Loss  0.536653, Average Loss  0.550245, Time  0.258722
2021-09-10 00:28:29.343128 : Epoch  8, Batch    248, Loss  0.876821, Average Loss  0.867954, Time  0.419090
2021-09-10 00:28:30.720770 : Epoch  5, Batch    488, Loss  0.556625, Average Loss  0.550316, Time  0.264888
2021-09-10 00:28:31.161284 : Epoch  8, Batch    249, Loss  0.872334, Average Loss  0.867955, Time  0.368315
2021-09-10 00:28:32.602162 : Epoch  5, Batch    489, Loss  0.543162, Average Loss  0.550315, Time  0.261272
2021-09-10 00:28:32.985283 : Epoch  8, Batch    250, Loss  0.871906, Average Loss  0.868010, Time  0.370920
2021-09-10 00:28:34.482934 : Epoch  5, Batch    490, Loss  0.555928, Average Loss  0.550358, Time  0.259314
2021-09-10 00:28:34.844048 : Epoch  8, Batch    251, Loss  0.881639, Average Loss  0.868061, Time  0.419895
2021-09-10 00:28:36.370070 : Epoch  5, Batch    491, Loss  0.539883, Average Loss  0.550290, Time  0.262025
2021-09-10 00:28:36.789123 : Epoch  8, Batch    252, Loss  0.871157, Average Loss  0.868074, Time  0.458595
2021-09-10 00:28:38.266182 : Epoch  5, Batch    492, Loss  0.560153, Average Loss  0.550324, Time  0.259495
2021-09-10 00:28:38.677116 : Epoch  8, Batch    253, Loss  0.880323, Average Loss  0.868049, Time  0.446781
2021-09-10 00:28:40.155825 : Epoch  5, Batch    493, Loss  0.554069, Average Loss  0.550328, Time  0.263608
2021-09-10 00:28:40.449940 : Epoch  8, Batch    254, Loss  0.875271, Average Loss  0.868121, Time  0.359047
2021-09-10 00:28:42.044816 : Epoch  5, Batch    494, Loss  0.540734, Average Loss  0.550370, Time  0.260420
2021-09-10 00:28:42.216064 : Epoch  8, Batch    255, Loss  0.849463, Average Loss  0.868039, Time  0.359945
2021-09-10 00:28:43.928829 : Epoch  5, Batch    495, Loss  0.544699, Average Loss  0.550336, Time  0.271556
2021-09-10 00:28:44.082769 : Epoch  8, Batch    256, Loss  0.846941, Average Loss  0.868053, Time  0.430416
2021-09-10 00:28:45.836893 : Epoch  5, Batch    496, Loss  0.553865, Average Loss  0.550328, Time  0.270334
2021-09-10 00:28:46.001886 : Epoch  8, Batch    257, Loss  0.886315, Average Loss  0.868094, Time  0.476823
2021-09-10 00:28:47.771818 : Epoch  5, Batch    497, Loss  0.552225, Average Loss  0.550293, Time  0.258074
2021-09-10 00:28:47.818184 : Epoch  8, Batch    258, Loss  0.866687, Average Loss  0.868334, Time  0.357369
2021-09-10 00:28:49.586198 : Epoch  8, Batch    259, Loss  0.880201, Average Loss  0.868304, Time  0.361763
2021-09-10 00:28:49.636468 : Epoch  5, Batch    498, Loss  0.540951, Average Loss  0.550216, Time  0.259196
2021-09-10 00:28:51.399364 : Epoch  8, Batch    260, Loss  0.851202, Average Loss  0.868029, Time  0.375081
2021-09-10 00:28:51.515864 : Epoch  5, Batch    499, Loss  0.541294, Average Loss  0.550197, Time  0.260448
2021-09-10 00:28:53.278749 : Epoch  8, Batch    261, Loss  0.878426, Average Loss  0.868159, Time  0.453214
2021-09-10 00:28:53.399858 : Epoch  5, Batch    500, Loss  0.553270, Average Loss  0.550221, Time  0.258416
2021-09-10 00:28:55.044828 : Epoch  8, Batch    262, Loss  0.852008, Average Loss  0.868140, Time  0.365009
2021-09-10 00:28:55.267447 : Epoch  5, Batch    501, Loss  0.547436, Average Loss  0.550231, Time  0.258376
2021-09-10 00:28:56.843807 : Epoch  8, Batch    263, Loss  0.854851, Average Loss  0.867984, Time  0.357792
2021-09-10 00:28:57.170751 : Epoch  5, Batch    502, Loss  0.547141, Average Loss  0.550204, Time  0.258453
2021-09-10 00:28:58.652777 : Epoch  8, Batch    264, Loss  0.843018, Average Loss  0.867932, Time  0.361041
2021-09-10 00:28:59.051061 : Epoch  5, Batch    503, Loss  0.550580, Average Loss  0.550221, Time  0.258141
2021-09-10 00:29:00.533103 : Epoch  8, Batch    265, Loss  0.898284, Average Loss  0.868165, Time  0.451275
2021-09-10 00:29:00.966846 : Epoch  5, Batch    504, Loss  0.571451, Average Loss  0.550337, Time  0.257982
2021-09-10 00:29:02.305002 : Epoch  8, Batch    266, Loss  0.895023, Average Loss  0.868266, Time  0.358464
2021-09-10 00:29:02.876859 : Epoch  5, Batch    505, Loss  0.535331, Average Loss  0.550181, Time  0.258055
2021-09-10 00:29:04.129781 : Epoch  8, Batch    267, Loss  0.897439, Average Loss  0.868436, Time  0.373857
2021-09-10 00:29:04.786928 : Epoch  5, Batch    506, Loss  0.555289, Average Loss  0.550223, Time  0.258416
2021-09-10 00:29:05.938779 : Epoch  8, Batch    268, Loss  0.894698, Average Loss  0.868487, Time  0.371291
2021-09-10 00:29:06.647795 : Epoch  5, Batch    507, Loss  0.548926, Average Loss  0.550230, Time  0.258034
2021-09-10 00:29:07.834243 : Epoch  8, Batch    269, Loss  0.887351, Average Loss  0.868578, Time  0.455444
2021-09-10 00:29:08.542800 : Epoch  5, Batch    508, Loss  0.526924, Average Loss  0.550147, Time  0.261257
2021-09-10 00:29:09.700826 : Epoch  8, Batch    270, Loss  0.892574, Average Loss  0.868615, Time  0.435213
2021-09-10 00:29:10.427785 : Epoch  5, Batch    509, Loss  0.553302, Average Loss  0.550133, Time  0.261513
2021-09-10 00:29:11.483438 : Epoch  8, Batch    271, Loss  0.844839, Average Loss  0.868522, Time  0.359614
2021-09-10 00:29:12.318981 : Epoch  5, Batch    510, Loss  0.537967, Average Loss  0.550028, Time  0.262515
2021-09-10 00:29:13.275961 : Epoch  8, Batch    272, Loss  0.885442, Average Loss  0.868588, Time  0.366449
2021-09-10 00:29:14.180430 : Epoch  5, Batch    511, Loss  0.544917, Average Loss  0.549923, Time  0.258736
2021-09-10 00:29:15.132780 : Epoch  8, Batch    273, Loss  0.864987, Average Loss  0.868683, Time  0.432655
2021-09-10 00:29:16.106120 : Epoch  5, Batch    512, Loss  0.552535, Average Loss  0.549934, Time  0.258538
2021-09-10 00:29:16.997242 : Epoch  8, Batch    274, Loss  0.848655, Average Loss  0.868440, Time  0.447859
2021-09-10 00:29:17.991801 : Epoch  5, Batch    513, Loss  0.546082, Average Loss  0.549922, Time  0.262360
2021-09-10 00:29:18.773823 : Epoch  8, Batch    275, Loss  0.853262, Average Loss  0.868401, Time  0.358221
2021-09-10 00:29:19.880889 : Epoch  5, Batch    514, Loss  0.535594, Average Loss  0.549812, Time  0.263322
2021-09-10 00:29:20.571091 : Epoch  8, Batch    276, Loss  0.878800, Average Loss  0.868379, Time  0.356164
2021-09-10 00:29:21.777981 : Epoch  5, Batch    515, Loss  0.545931, Average Loss  0.549775, Time  0.258709
2021-09-10 00:29:22.397826 : Epoch  8, Batch    277, Loss  0.859043, Average Loss  0.868427, Time  0.385390
2021-09-10 00:29:23.672028 : Epoch  5, Batch    516, Loss  0.549972, Average Loss  0.549763, Time  0.262381
2021-09-10 00:29:24.294105 : Epoch  8, Batch    278, Loss  0.882993, Average Loss  0.868536, Time  0.450998
2021-09-10 00:29:25.558097 : Epoch  5, Batch    517, Loss  0.555011, Average Loss  0.549781, Time  0.265301
2021-09-10 00:29:26.077774 : Epoch  8, Batch    279, Loss  0.859612, Average Loss  0.868443, Time  0.351581
2021-09-10 00:29:27.467808 : Epoch  5, Batch    518, Loss  0.541983, Average Loss  0.549708, Time  0.263628
2021-09-10 00:29:27.868774 : Epoch  8, Batch    280, Loss  0.876260, Average Loss  0.868405, Time  0.356883
2021-09-10 00:29:29.409814 : Epoch  5, Batch    519, Loss  0.546144, Average Loss  0.549680, Time  0.263586
2021-09-10 00:29:29.656769 : Epoch  8, Batch    281, Loss  0.894319, Average Loss  0.868531, Time  0.361112
2021-09-10 00:29:31.301781 : Epoch  5, Batch    520, Loss  0.550929, Average Loss  0.549734, Time  0.261645
2021-09-10 00:29:31.525783 : Epoch  8, Batch    282, Loss  0.861914, Average Loss  0.868566, Time  0.450565
2021-09-10 00:29:33.193930 : Epoch  5, Batch    521, Loss  0.542742, Average Loss  0.549645, Time  0.264604
2021-09-10 00:29:33.302886 : Epoch  8, Batch    283, Loss  0.852093, Average Loss  0.868545, Time  0.358003
2021-09-10 00:29:35.071121 : Epoch  8, Batch    284, Loss  0.873143, Average Loss  0.868508, Time  0.356513
2021-09-10 00:29:35.133914 : Epoch  5, Batch    522, Loss  0.547092, Average Loss  0.549614, Time  0.260560
2021-09-10 00:29:36.898975 : Epoch  8, Batch    285, Loss  0.881955, Average Loss  0.868500, Time  0.378853
2021-09-10 00:29:38.801903 : Epoch  8, Batch    286, Loss  0.882432, Average Loss  0.868435, Time  0.451239
2021-09-10 00:29:39.165861 : Epoch  5, Batch    523, Loss  0.545800, Average Loss  0.549511, Time  0.271843
2021-09-10 00:29:40.587082 : Epoch  8, Batch    287, Loss  0.842759, Average Loss  0.868336, Time  0.337127
2021-09-10 00:29:41.032087 : Epoch  5, Batch    524, Loss  0.555009, Average Loss  0.549558, Time  0.258575
2021-09-10 00:29:42.389133 : Epoch  8, Batch    288, Loss  0.842674, Average Loss  0.868188, Time  0.357579
2021-09-10 00:29:42.902899 : Epoch  5, Batch    525, Loss  0.552352, Average Loss  0.549526, Time  0.263217
2021-09-10 00:29:44.193795 : Epoch  8, Batch    289, Loss  0.885561, Average Loss  0.868347, Time  0.356018
2021-09-10 00:29:44.803778 : Epoch  5, Batch    526, Loss  0.542392, Average Loss  0.549530, Time  0.264689
2021-09-10 00:29:46.101904 : Epoch  8, Batch    290, Loss  0.860801, Average Loss  0.868397, Time  0.451559
2021-09-10 00:29:46.719793 : Epoch  5, Batch    527, Loss  0.546065, Average Loss  0.549518, Time  0.261706
2021-09-10 00:29:47.931838 : Epoch  8, Batch    291, Loss  0.855566, Average Loss  0.868262, Time  0.405959
2021-09-10 00:29:48.607807 : Epoch  5, Batch    528, Loss  0.541122, Average Loss  0.549463, Time  0.262575
2021-09-10 00:29:49.714191 : Epoch  8, Batch    292, Loss  0.842671, Average Loss  0.868074, Time  0.356587
2021-09-10 00:29:50.498857 : Epoch  5, Batch    529, Loss  0.555367, Average Loss  0.549505, Time  0.258251
2021-09-10 00:29:51.529924 : Epoch  8, Batch    293, Loss  0.869778, Average Loss  0.868073, Time  0.356745
2021-09-10 00:29:52.395595 : Epoch  5, Batch    530, Loss  0.537066, Average Loss  0.549479, Time  0.258882
2021-09-10 00:29:53.402767 : Epoch  8, Batch    294, Loss  0.894067, Average Loss  0.868253, Time  0.430512
2021-09-10 00:29:54.281087 : Epoch  5, Batch    531, Loss  0.569630, Average Loss  0.549619, Time  0.262167
2021-09-10 00:29:55.294186 : Epoch  8, Batch    295, Loss  0.869825, Average Loss  0.868198, Time  0.447588
2021-09-10 00:29:56.159798 : Epoch  5, Batch    532, Loss  0.551331, Average Loss  0.549603, Time  0.258846
2021-09-10 00:29:57.059778 : Epoch  8, Batch    296, Loss  0.879438, Average Loss  0.868240, Time  0.358958
2021-09-10 00:29:58.058295 : Epoch  5, Batch    533, Loss  0.541028, Average Loss  0.549562, Time  0.258636
2021-09-10 00:29:58.839074 : Epoch  8, Batch    297, Loss  0.836144, Average Loss  0.868175, Time  0.355970
2021-09-10 00:29:59.917871 : Epoch  5, Batch    534, Loss  0.550894, Average Loss  0.549538, Time  0.259992
2021-09-10 00:30:00.666816 : Epoch  8, Batch    298, Loss  0.899246, Average Loss  0.868336, Time  0.383887
2021-09-10 00:30:01.804804 : Epoch  5, Batch    535, Loss  0.546833, Average Loss  0.549557, Time  0.258125
2021-09-10 00:30:02.557768 : Epoch  8, Batch    299, Loss  0.863995, Average Loss  0.868258, Time  0.455947
2021-09-10 00:30:03.684797 : Epoch  5, Batch    536, Loss  0.555366, Average Loss  0.549569, Time  0.258160
2021-09-10 00:30:04.348770 : Epoch  8, Batch    300, Loss  0.890446, Average Loss  0.868268, Time  0.356313
2021-09-10 00:30:05.574992 : Epoch  5, Batch    537, Loss  0.559660, Average Loss  0.549613, Time  0.257915
2021-09-10 00:30:06.149114 : Epoch  8, Batch    301, Loss  0.872570, Average Loss  0.868181, Time  0.358113
2021-09-10 00:30:07.471767 : Epoch  5, Batch    538, Loss  0.547021, Average Loss  0.549640, Time  0.258290
2021-09-10 00:30:07.942802 : Epoch  8, Batch    302, Loss  0.876507, Average Loss  0.868218, Time  0.376206
2021-09-10 00:30:09.361828 : Epoch  5, Batch    539, Loss  0.561031, Average Loss  0.549714, Time  0.257684
2021-09-10 00:30:09.829764 : Epoch  8, Batch    303, Loss  0.866398, Average Loss  0.868208, Time  0.467624
2021-09-10 00:30:11.270779 : Epoch  5, Batch    540, Loss  0.546700, Average Loss  0.549663, Time  0.258335
2021-09-10 00:30:11.594529 : Epoch  8, Batch    304, Loss  0.882271, Average Loss  0.868195, Time  0.365557
2021-09-10 00:30:13.154939 : Epoch  5, Batch    541, Loss  0.547868, Average Loss  0.549596, Time  0.258286
2021-09-10 00:30:13.360116 : Epoch  8, Batch    305, Loss  0.884067, Average Loss  0.868123, Time  0.356390
2021-09-10 00:30:15.023833 : Epoch  5, Batch    542, Loss  0.541772, Average Loss  0.549594, Time  0.258277
2021-09-10 00:30:15.168822 : Epoch  8, Batch    306, Loss  0.881302, Average Loss  0.868269, Time  0.386354
2021-09-10 00:30:16.906836 : Epoch  5, Batch    543, Loss  0.540513, Average Loss  0.549528, Time  0.257871
2021-09-10 00:30:17.014791 : Epoch  8, Batch    307, Loss  0.896389, Average Loss  0.868377, Time  0.453358
2021-09-10 00:30:18.783128 : Epoch  8, Batch    308, Loss  0.846213, Average Loss  0.868363, Time  0.355604
2021-09-10 00:30:18.819756 : Epoch  5, Batch    544, Loss  0.551689, Average Loss  0.549590, Time  0.258203
2021-09-10 00:30:20.544015 : Epoch  8, Batch    309, Loss  0.880349, Average Loss  0.868359, Time  0.357319
2021-09-10 00:30:20.710872 : Epoch  5, Batch    545, Loss  0.548186, Average Loss  0.549564, Time  0.257870
2021-09-10 00:30:22.418807 : Epoch  8, Batch    310, Loss  0.857396, Average Loss  0.868226, Time  0.396651
2021-09-10 00:30:22.604827 : Epoch  5, Batch    546, Loss  0.542539, Average Loss  0.549542, Time  0.260402
2021-09-10 00:30:24.311771 : Epoch  8, Batch    311, Loss  0.869355, Average Loss  0.868110, Time  0.453624
2021-09-10 00:30:24.497097 : Epoch  5, Batch    547, Loss  0.558647, Average Loss  0.549640, Time  0.269433
2021-09-10 00:30:26.168266 : Epoch  8, Batch    312, Loss  0.874306, Average Loss  0.868066, Time  0.415676
2021-09-10 00:30:26.410200 : Epoch  5, Batch    548, Loss  0.548167, Average Loss  0.549636, Time  0.259077
2021-09-10 00:30:27.949271 : Epoch  8, Batch    313, Loss  0.879601, Average Loss  0.868024, Time  0.359271
2021-09-10 00:30:28.281840 : Epoch  5, Batch    549, Loss  0.544220, Average Loss  0.549640, Time  0.258791
2021-09-10 00:30:29.709520 : Epoch  8, Batch    314, Loss  0.848879, Average Loss  0.867738, Time  0.355511
2021-09-10 00:30:30.171775 : Epoch  5, Batch    550, Loss  0.542342, Average Loss  0.549585, Time  0.261409
2021-09-10 00:30:31.570769 : Epoch  8, Batch    315, Loss  0.859022, Average Loss  0.867548, Time  0.445144
2021-09-10 00:30:32.067814 : Epoch  5, Batch    551, Loss  0.563178, Average Loss  0.549697, Time  0.258203
2021-09-10 00:30:33.434196 : Epoch  8, Batch    316, Loss  0.878946, Average Loss  0.867551, Time  0.450659
2021-09-10 00:30:33.947118 : Epoch  5, Batch    552, Loss  0.537799, Average Loss  0.549655, Time  0.265989
2021-09-10 00:30:35.245997 : Epoch  8, Batch    317, Loss  0.818255, Average Loss  0.867343, Time  0.360519
2021-09-10 00:30:37.046116 : Epoch  8, Batch    318, Loss  0.869627, Average Loss  0.867495, Time  0.356666
2021-09-10 00:30:38.891083 : Epoch  8, Batch    319, Loss  0.886744, Average Loss  0.867466, Time  0.382476
2021-09-10 00:30:40.794787 : Epoch  8, Batch    320, Loss  0.867935, Average Loss  0.867419, Time  0.452033
2021-09-10 00:30:42.661795 : Epoch  8, Batch    321, Loss  0.839180, Average Loss  0.867308, Time  0.412400
2021-09-10 00:30:44.477172 : Epoch  8, Batch    322, Loss  0.882990, Average Loss  0.867468, Time  0.357401
2021-09-10 00:30:46.263660 : Epoch  8, Batch    323, Loss  0.848977, Average Loss  0.867313, Time  0.357311
2021-09-10 00:31:43.725745 : CheckPoint: Validation Loss  0.00022454, Best Loss  0.00022454
2021-09-10 00:31:43.798858 : Best Model Updated
2021-09-10 00:31:46.622944 : Epoch  5, Batch    553, Loss  0.541013, Average Loss  0.549587, Time  0.271289
2021-09-10 00:31:48.492063 : Epoch  5, Batch    554, Loss  0.551452, Average Loss  0.549515, Time  0.258268
2021-09-10 00:31:50.415842 : Epoch  5, Batch    555, Loss  0.549968, Average Loss  0.549515, Time  0.259808
2021-09-10 00:31:52.320843 : Epoch  5, Batch    556, Loss  0.550997, Average Loss  0.549482, Time  0.264329
2021-09-10 00:31:54.216794 : Epoch  5, Batch    557, Loss  0.544681, Average Loss  0.549371, Time  0.267447
2021-09-10 00:31:56.107123 : Epoch  5, Batch    558, Loss  0.555882, Average Loss  0.549472, Time  0.259266
2021-09-10 00:31:58.013837 : Epoch  5, Batch    559, Loss  0.555085, Average Loss  0.549480, Time  0.261935
2021-09-10 00:31:59.881885 : Epoch  5, Batch    560, Loss  0.556623, Average Loss  0.549520, Time  0.260998
2021-09-10 00:32:01.756806 : Epoch  5, Batch    561, Loss  0.566511, Average Loss  0.549587, Time  0.262042
2021-09-10 00:32:03.614863 : Epoch  5, Batch    562, Loss  0.556103, Average Loss  0.549616, Time  0.258457
2021-09-10 00:32:05.501893 : Epoch  5, Batch    563, Loss  0.545036, Average Loss  0.549565, Time  0.258246
2021-09-10 00:32:07.384860 : Epoch  5, Batch    564, Loss  0.545859, Average Loss  0.549533, Time  0.260472
2021-09-10 00:32:09.261856 : Epoch  5, Batch    565, Loss  0.541721, Average Loss  0.549540, Time  0.264542
2021-09-10 00:32:11.158793 : Epoch  5, Batch    566, Loss  0.545351, Average Loss  0.549516, Time  0.264273
2021-09-10 00:32:13.039853 : Epoch  5, Batch    567, Loss  0.554621, Average Loss  0.549523, Time  0.260928
2021-09-10 00:32:14.896111 : Epoch  5, Batch    568, Loss  0.549405, Average Loss  0.549525, Time  0.262346
2021-09-10 00:32:16.788854 : Epoch  5, Batch    569, Loss  0.549368, Average Loss  0.549497, Time  0.268236
2021-09-10 00:32:18.693870 : Epoch  5, Batch    570, Loss  0.555520, Average Loss  0.549505, Time  0.262963
2021-09-10 00:32:20.574088 : Epoch  5, Batch    571, Loss  0.554641, Average Loss  0.549470, Time  0.258581
2021-09-10 00:32:22.471972 : Epoch  5, Batch    572, Loss  0.549891, Average Loss  0.549426, Time  0.266703
2021-09-10 00:32:24.331780 : Epoch  5, Batch    573, Loss  0.558538, Average Loss  0.549458, Time  0.263448
2021-09-10 00:32:26.194803 : Epoch  5, Batch    574, Loss  0.539958, Average Loss  0.549444, Time  0.258436
2021-09-10 00:32:28.074861 : Epoch  5, Batch    575, Loss  0.535760, Average Loss  0.549376, Time  0.258224
2021-09-10 00:32:29.956772 : Epoch  5, Batch    576, Loss  0.542354, Average Loss  0.549283, Time  0.261781
2021-09-10 00:32:31.836921 : Epoch  5, Batch    577, Loss  0.556159, Average Loss  0.549260, Time  0.264929
2021-09-10 00:32:33.713805 : Epoch  5, Batch    578, Loss  0.552927, Average Loss  0.549285, Time  0.262389
2021-09-10 00:32:35.575180 : Epoch  5, Batch    579, Loss  0.554435, Average Loss  0.549351, Time  0.259938
2021-09-10 00:32:35.758060 : Epoch  5, Batch    580, Loss  0.578473, Average Loss  0.549431, Time  0.128268
2021-09-10 00:32:37.656137 : Epoch  5, Batch    581, Loss  0.582568, Average Loss  0.549621, Time  0.263546
2021-09-10 00:32:39.531980 : Epoch  5, Batch    582, Loss  0.579151, Average Loss  0.549787, Time  0.262685
2021-09-10 00:32:41.407124 : Epoch  5, Batch    583, Loss  0.572678, Average Loss  0.549903, Time  0.259062
2021-09-10 00:32:43.268071 : Epoch  5, Batch    584, Loss  0.567939, Average Loss  0.549937, Time  0.258775
2021-09-10 00:32:45.135994 : Epoch  5, Batch    585, Loss  0.562023, Average Loss  0.550008, Time  0.260940
2021-09-10 00:32:47.016089 : Epoch  5, Batch    586, Loss  0.558425, Average Loss  0.550018, Time  0.258271
2021-09-10 00:32:48.879871 : Epoch  5, Batch    587, Loss  0.569815, Average Loss  0.550012, Time  0.260752
2021-09-10 00:32:50.805962 : Epoch  5, Batch    588, Loss  0.558814, Average Loss  0.550039, Time  0.258633
2021-09-10 00:32:52.689949 : Epoch  5, Batch    589, Loss  0.553827, Average Loss  0.550054, Time  0.263492
2021-09-10 00:32:54.573102 : Epoch  5, Batch    590, Loss  0.564025, Average Loss  0.550123, Time  0.261609
2021-09-10 00:32:56.439413 : Epoch  5, Batch    591, Loss  0.573328, Average Loss  0.550251, Time  0.258260
2021-09-10 00:32:58.344882 : Epoch  5, Batch    592, Loss  0.567571, Average Loss  0.550388, Time  0.260332
2021-09-10 00:33:00.252133 : Epoch  5, Batch    593, Loss  0.568257, Average Loss  0.550469, Time  0.259205
2021-09-10 00:33:02.136857 : Epoch  5, Batch    594, Loss  0.549519, Average Loss  0.550413, Time  0.258784
2021-09-10 00:33:04.044784 : Epoch  5, Batch    595, Loss  0.568047, Average Loss  0.550536, Time  0.258118
2021-09-10 00:33:05.927855 : Epoch  5, Batch    596, Loss  0.554555, Average Loss  0.550513, Time  0.261729
2021-09-10 00:33:07.820846 : Epoch  5, Batch    597, Loss  0.550374, Average Loss  0.550515, Time  0.264649
2021-09-10 00:33:09.713810 : Epoch  5, Batch    598, Loss  0.566009, Average Loss  0.550626, Time  0.261846
2021-09-10 00:33:11.573152 : Epoch  5, Batch    599, Loss  0.566822, Average Loss  0.550728, Time  0.259745
2021-09-10 00:33:13.432911 : Epoch  5, Batch    600, Loss  0.542323, Average Loss  0.550669, Time  0.261591
2021-09-10 00:33:15.326630 : Epoch  5, Batch    601, Loss  0.563698, Average Loss  0.550737, Time  0.263086
2021-09-10 00:33:17.199977 : Epoch  5, Batch    602, Loss  0.547672, Average Loss  0.550725, Time  0.268248
2021-09-10 00:33:19.065835 : Epoch  5, Batch    603, Loss  0.561210, Average Loss  0.550732, Time  0.257970
2021-09-10 00:33:20.949092 : Epoch  5, Batch    604, Loss  0.548525, Average Loss  0.550736, Time  0.258772
2021-09-10 00:33:22.809455 : Epoch  5, Batch    605, Loss  0.545095, Average Loss  0.550712, Time  0.258170
2021-09-10 00:33:24.696806 : Epoch  5, Batch    606, Loss  0.557855, Average Loss  0.550750, Time  0.262022
2021-09-10 00:33:26.561769 : Epoch  5, Batch    607, Loss  0.567640, Average Loss  0.550842, Time  0.258137
2021-09-10 00:33:28.442803 : Epoch  5, Batch    608, Loss  0.553309, Average Loss  0.550894, Time  0.262487
2021-09-10 00:33:30.317842 : Epoch  5, Batch    609, Loss  0.552487, Average Loss  0.550902, Time  0.267086
2021-09-10 00:33:32.183074 : Epoch  5, Batch    610, Loss  0.537443, Average Loss  0.550842, Time  0.261163
2021-09-10 00:33:34.058100 : Epoch  5, Batch    611, Loss  0.555618, Average Loss  0.550868, Time  0.265811
2021-09-10 00:33:35.933076 : Epoch  5, Batch    612, Loss  0.544098, Average Loss  0.550855, Time  0.257949
2021-09-10 00:33:37.816091 : Epoch  5, Batch    613, Loss  0.542817, Average Loss  0.550782, Time  0.258539
2021-09-10 00:33:39.686839 : Epoch  5, Batch    614, Loss  0.532396, Average Loss  0.550719, Time  0.263775
2021-09-10 00:33:41.571079 : Epoch  5, Batch    615, Loss  0.554487, Average Loss  0.550708, Time  0.258188
2021-09-10 00:33:43.441801 : Epoch  5, Batch    616, Loss  0.537042, Average Loss  0.550563, Time  0.261932
2021-09-10 00:33:45.355820 : Epoch  5, Batch    617, Loss  0.556633, Average Loss  0.550610, Time  0.261031
2021-09-10 00:33:47.236762 : Epoch  5, Batch    618, Loss  0.544014, Average Loss  0.550646, Time  0.262218
2021-09-10 00:33:49.103876 : Epoch  5, Batch    619, Loss  0.539616, Average Loss  0.550605, Time  0.266810
2021-09-10 00:33:51.013092 : Epoch  5, Batch    620, Loss  0.540027, Average Loss  0.550583, Time  0.264303
2021-09-10 00:33:52.894106 : Epoch  5, Batch    621, Loss  0.558154, Average Loss  0.550639, Time  0.259039
2021-09-10 00:33:54.756867 : Epoch  5, Batch    622, Loss  0.556975, Average Loss  0.550753, Time  0.262766
2021-09-10 00:33:56.621798 : Epoch  5, Batch    623, Loss  0.530987, Average Loss  0.550666, Time  0.263568
2021-09-10 00:34:00.626772 : Epoch  5, Batch    624, Loss  0.536989, Average Loss  0.550682, Time  0.280217
2021-09-10 00:34:02.526780 : Epoch  5, Batch    625, Loss  0.545695, Average Loss  0.550716, Time  0.261564
2021-09-10 00:34:04.398778 : Epoch  5, Batch    626, Loss  0.569835, Average Loss  0.550711, Time  0.259526
2021-09-10 00:34:06.265854 : Epoch  5, Batch    627, Loss  0.548176, Average Loss  0.550763, Time  0.259074
2021-09-10 00:34:08.128082 : Epoch  5, Batch    628, Loss  0.538428, Average Loss  0.550742, Time  0.258281
2021-09-10 00:34:10.000954 : Epoch  5, Batch    629, Loss  0.548019, Average Loss  0.550778, Time  0.263253
2021-09-10 00:34:11.863791 : Epoch  5, Batch    630, Loss  0.548570, Average Loss  0.550788, Time  0.258371
2021-09-10 00:34:13.732949 : Epoch  5, Batch    631, Loss  0.554089, Average Loss  0.550811, Time  0.259208
2021-09-10 00:34:15.611081 : Epoch  5, Batch    632, Loss  0.545870, Average Loss  0.550782, Time  0.261235
2021-09-10 00:34:17.478976 : Epoch  5, Batch    633, Loss  0.550215, Average Loss  0.550740, Time  0.259000
2021-09-10 00:34:19.355804 : Epoch  5, Batch    634, Loss  0.558543, Average Loss  0.550778, Time  0.264172
2021-09-10 00:34:21.213008 : Epoch  5, Batch    635, Loss  0.550205, Average Loss  0.550859, Time  0.257834
2021-09-10 00:34:23.070882 : Epoch  5, Batch    636, Loss  0.565207, Average Loss  0.550965, Time  0.262743
2021-09-10 00:34:24.960860 : Epoch  5, Batch    637, Loss  0.552136, Average Loss  0.551050, Time  0.265559
2021-09-10 00:34:26.839093 : Epoch  5, Batch    638, Loss  0.550197, Average Loss  0.551094, Time  0.262555
2021-09-10 00:34:28.719807 : Epoch  5, Batch    639, Loss  0.546746, Average Loss  0.551039, Time  0.262829
2021-09-10 00:34:30.595958 : Epoch  5, Batch    640, Loss  0.540970, Average Loss  0.550969, Time  0.258159
2021-09-10 00:34:32.461975 : Epoch  5, Batch    641, Loss  0.535727, Average Loss  0.550947, Time  0.259001
2021-09-10 00:34:34.332835 : Epoch  5, Batch    642, Loss  0.545716, Average Loss  0.550922, Time  0.258435
2021-09-10 00:34:36.226815 : Epoch  5, Batch    643, Loss  0.550684, Average Loss  0.550923, Time  0.261755
2021-09-10 00:34:38.099005 : Epoch  5, Batch    644, Loss  0.540983, Average Loss  0.550878, Time  0.262322
2021-09-10 00:34:39.983783 : Epoch  5, Batch    645, Loss  0.553118, Average Loss  0.550878, Time  0.265731
2021-09-10 00:34:41.865811 : Epoch  5, Batch    646, Loss  0.558551, Average Loss  0.550930, Time  0.258548
2021-09-10 00:34:43.734846 : Epoch  5, Batch    647, Loss  0.554560, Average Loss  0.550915, Time  0.260411
2021-09-10 00:34:45.642830 : Epoch  5, Batch    648, Loss  0.557568, Average Loss  0.550891, Time  0.258453
2021-09-10 00:34:47.517888 : Epoch  5, Batch    649, Loss  0.540644, Average Loss  0.550811, Time  0.258195
2021-09-10 00:34:49.413079 : Epoch  5, Batch    650, Loss  0.550133, Average Loss  0.550798, Time  0.268815
2021-09-10 00:34:51.300131 : Epoch  5, Batch    651, Loss  0.549679, Average Loss  0.550783, Time  0.266496
2021-09-10 00:34:53.191854 : Epoch  5, Batch    652, Loss  0.540691, Average Loss  0.550736, Time  0.258458
2021-09-10 00:35:36.947629 : CheckPoint: Validation Loss  0.00062355, Best Loss  0.00056427
2021-09-10 00:35:38.728821 : Epoch  8, Batch    324, Loss  0.855789, Average Loss  0.867317, Time  0.357271
2021-09-10 00:35:40.570779 : Epoch  8, Batch    325, Loss  0.840650, Average Loss  0.867181, Time  0.420168
2021-09-10 00:35:42.437808 : Epoch  8, Batch    326, Loss  0.874880, Average Loss  0.867168, Time  0.448034
2021-09-10 00:35:44.213788 : Epoch  8, Batch    327, Loss  0.879426, Average Loss  0.867243, Time  0.361034
2021-09-10 00:35:45.995093 : Epoch  8, Batch    328, Loss  0.869047, Average Loss  0.867197, Time  0.362720
2021-09-10 00:35:47.824798 : Epoch  8, Batch    329, Loss  0.876050, Average Loss  0.867237, Time  0.395657
2021-09-10 00:35:49.687721 : Epoch  8, Batch    330, Loss  0.871589, Average Loss  0.867369, Time  0.455222
2021-09-10 00:35:51.488553 : Epoch  8, Batch    331, Loss  0.892339, Average Loss  0.867513, Time  0.336364
2021-09-10 00:35:53.273874 : Epoch  8, Batch    332, Loss  0.894295, Average Loss  0.867650, Time  0.360376
2021-09-10 00:35:55.069096 : Epoch  8, Batch    333, Loss  0.844655, Average Loss  0.867560, Time  0.359324
2021-09-10 00:35:56.941952 : Epoch  8, Batch    334, Loss  0.860026, Average Loss  0.867608, Time  0.461309
2021-09-10 00:35:58.715111 : Epoch  8, Batch    335, Loss  0.881988, Average Loss  0.867588, Time  0.363745
2021-09-10 00:36:00.502911 : Epoch  8, Batch    336, Loss  0.820084, Average Loss  0.867361, Time  0.358976
2021-09-10 00:36:02.316779 : Epoch  8, Batch    337, Loss  0.887647, Average Loss  0.867474, Time  0.378054
2021-09-10 00:36:03.135801 : CheckPoint: Validation Loss  0.00022428, Best Loss  0.00022428
2021-09-10 00:36:03.219615 : Best Model Updated
2021-09-10 00:36:04.183769 : Epoch  8, Batch    338, Loss  0.852449, Average Loss  0.867440, Time  0.459659
2021-09-10 00:36:05.962803 : Epoch  8, Batch    339, Loss  0.857821, Average Loss  0.867341, Time  0.362971
2021-09-10 00:36:06.087835 : Epoch  5, Batch    653, Loss  0.548146, Average Loss  0.550730, Time  0.267975
2021-09-10 00:36:07.737027 : Epoch  8, Batch    340, Loss  0.893533, Average Loss  0.867507, Time  0.360680
2021-09-10 00:36:07.964030 : Epoch  5, Batch    654, Loss  0.550475, Average Loss  0.550678, Time  0.258437
2021-09-10 00:36:09.564238 : Epoch  8, Batch    341, Loss  0.877922, Average Loss  0.867407, Time  0.395982
2021-09-10 00:36:09.849853 : Epoch  5, Batch    655, Loss  0.550834, Average Loss  0.550705, Time  0.266845
2021-09-10 00:36:11.468776 : Epoch  8, Batch    342, Loss  0.889966, Average Loss  0.867594, Time  0.462461
2021-09-10 00:36:11.759820 : Epoch  5, Batch    656, Loss  0.557545, Average Loss  0.550726, Time  0.260298
2021-09-10 00:36:13.457735 : Epoch  8, Batch    343, Loss  0.868743, Average Loss  0.867542, Time  0.453382
2021-09-10 00:36:13.651890 : Epoch  5, Batch    657, Loss  0.548344, Average Loss  0.550675, Time  0.267248
2021-09-10 00:36:15.262810 : Epoch  8, Batch    344, Loss  0.870615, Average Loss  0.867428, Time  0.357419
2021-09-10 00:36:15.519814 : Epoch  5, Batch    658, Loss  0.537207, Average Loss  0.550612, Time  0.263410
2021-09-10 00:36:17.053805 : Epoch  8, Batch    345, Loss  0.872231, Average Loss  0.867351, Time  0.368769
2021-09-10 00:36:17.385811 : Epoch  5, Batch    659, Loss  0.549108, Average Loss  0.550545, Time  0.258090
2021-09-10 00:36:18.898778 : Epoch  8, Batch    346, Loss  0.895791, Average Loss  0.867461, Time  0.409534
2021-09-10 00:36:19.286776 : Epoch  5, Batch    660, Loss  0.550167, Average Loss  0.550506, Time  0.258292
2021-09-10 00:36:20.769798 : Epoch  8, Batch    347, Loss  0.891307, Average Loss  0.867620, Time  0.452971
2021-09-10 00:36:21.169811 : Epoch  5, Batch    661, Loss  0.555148, Average Loss  0.550509, Time  0.262765
2021-09-10 00:36:22.538784 : Epoch  8, Batch    348, Loss  0.858556, Average Loss  0.867648, Time  0.364366
2021-09-10 00:36:23.055080 : Epoch  5, Batch    662, Loss  0.551384, Average Loss  0.550469, Time  0.266139
2021-09-10 00:36:24.297940 : Epoch  8, Batch    349, Loss  0.879646, Average Loss  0.867678, Time  0.359102
2021-09-10 00:36:24.928802 : Epoch  5, Batch    663, Loss  0.555385, Average Loss  0.550503, Time  0.258293
2021-09-10 00:36:26.107868 : Epoch  8, Batch    350, Loss  0.845207, Average Loss  0.867573, Time  0.392517
2021-09-10 00:36:26.837081 : Epoch  5, Batch    664, Loss  0.548045, Average Loss  0.550554, Time  0.261835
2021-09-10 00:36:28.006777 : Epoch  8, Batch    351, Loss  0.880728, Average Loss  0.867609, Time  0.461119
2021-09-10 00:36:28.768874 : Epoch  5, Batch    665, Loss  0.529277, Average Loss  0.550454, Time  0.264938
2021-09-10 00:36:29.766782 : Epoch  8, Batch    352, Loss  0.880240, Average Loss  0.867803, Time  0.341531
2021-09-10 00:36:30.658094 : Epoch  5, Batch    666, Loss  0.548753, Average Loss  0.550436, Time  0.259253
2021-09-10 00:36:31.545634 : Epoch  8, Batch    353, Loss  0.879478, Average Loss  0.867934, Time  0.361197
2021-09-10 00:36:32.563788 : Epoch  5, Batch    667, Loss  0.543681, Average Loss  0.550453, Time  0.262162
2021-09-10 00:36:33.325787 : Epoch  8, Batch    354, Loss  0.876940, Average Loss  0.867905, Time  0.365262
2021-09-10 00:36:34.481091 : Epoch  5, Batch    668, Loss  0.545401, Average Loss  0.550487, Time  0.264266
2021-09-10 00:36:35.201777 : Epoch  8, Batch    355, Loss  0.858307, Average Loss  0.867789, Time  0.459596
2021-09-10 00:36:36.389770 : Epoch  5, Batch    669, Loss  0.544158, Average Loss  0.550427, Time  0.268800
2021-09-10 00:36:36.981775 : Epoch  8, Batch    356, Loss  0.872664, Average Loss  0.867740, Time  0.361535
2021-09-10 00:36:38.294777 : Epoch  5, Batch    670, Loss  0.554171, Average Loss  0.550480, Time  0.258148
2021-09-10 00:36:38.790780 : Epoch  8, Batch    357, Loss  0.894738, Average Loss  0.867951, Time  0.369712
2021-09-10 00:36:40.200149 : Epoch  5, Batch    671, Loss  0.556021, Average Loss  0.550498, Time  0.262871
2021-09-10 00:36:40.568772 : Epoch  8, Batch    358, Loss  0.860700, Average Loss  0.867997, Time  0.386845
2021-09-10 00:36:42.090152 : Epoch  5, Batch    672, Loss  0.550934, Average Loss  0.550506, Time  0.261716
2021-09-10 00:36:42.440772 : Epoch  8, Batch    359, Loss  0.823978, Average Loss  0.867777, Time  0.467569
2021-09-10 00:36:43.970847 : Epoch  5, Batch    673, Loss  0.544551, Average Loss  0.550486, Time  0.260424
2021-09-10 00:36:44.212759 : Epoch  8, Batch    360, Loss  0.868886, Average Loss  0.867720, Time  0.359203
2021-09-10 00:36:45.846892 : Epoch  5, Batch    674, Loss  0.542284, Average Loss  0.550414, Time  0.259482
2021-09-10 00:36:45.983787 : Epoch  8, Batch    361, Loss  0.863243, Average Loss  0.867771, Time  0.364210
2021-09-10 00:36:47.727923 : Epoch  5, Batch    675, Loss  0.551749, Average Loss  0.550396, Time  0.258471
2021-09-10 00:36:47.787120 : Epoch  8, Batch    362, Loss  0.896636, Average Loss  0.867877, Time  0.391032
2021-09-10 00:36:49.613509 : Epoch  5, Batch    676, Loss  0.545821, Average Loss  0.550490, Time  0.258694
2021-09-10 00:36:49.658629 : Epoch  8, Batch    363, Loss  0.857727, Average Loss  0.867817, Time  0.450710
2021-09-10 00:36:51.460810 : Epoch  8, Batch    364, Loss  0.893657, Average Loss  0.867893, Time  0.346403
2021-09-10 00:36:51.508032 : Epoch  5, Batch    677, Loss  0.556725, Average Loss  0.550553, Time  0.263708
2021-09-10 00:36:53.266796 : Epoch  8, Batch    365, Loss  0.887589, Average Loss  0.868013, Time  0.356467
2021-09-10 00:36:53.424153 : Epoch  5, Batch    678, Loss  0.540356, Average Loss  0.550532, Time  0.262583
2021-09-10 00:36:55.040808 : Epoch  8, Batch    366, Loss  0.856596, Average Loss  0.867978, Time  0.356758
2021-09-10 00:36:55.297751 : Epoch  5, Batch    679, Loss  0.546835, Average Loss  0.550530, Time  0.262111
2021-09-10 00:36:56.936806 : Epoch  8, Batch    367, Loss  0.899482, Average Loss  0.868075, Time  0.452931
2021-09-10 00:36:57.193800 : Epoch  5, Batch    680, Loss  0.546296, Average Loss  0.550518, Time  0.262280
2021-09-10 00:36:58.727846 : Epoch  8, Batch    368, Loss  0.854683, Average Loss  0.867920, Time  0.345757
2021-09-10 00:36:59.093845 : Epoch  5, Batch    681, Loss  0.549530, Average Loss  0.550520, Time  0.266628
2021-09-10 00:37:00.524780 : Epoch  8, Batch    369, Loss  0.871574, Average Loss  0.868073, Time  0.354590
2021-09-10 00:37:00.977999 : Epoch  5, Batch    682, Loss  0.539974, Average Loss  0.550496, Time  0.265538
2021-09-10 00:37:02.368780 : Epoch  8, Batch    370, Loss  0.882063, Average Loss  0.868013, Time  0.359178
2021-09-10 00:37:02.877162 : Epoch  5, Batch    683, Loss  0.558583, Average Loss  0.550523, Time  0.261164
2021-09-10 00:37:04.278803 : Epoch  8, Batch    371, Loss  0.879681, Average Loss  0.868115, Time  0.451669
2021-09-10 00:37:04.756921 : Epoch  5, Batch    684, Loss  0.554014, Average Loss  0.550521, Time  0.258774
2021-09-10 00:37:06.184825 : Epoch  8, Batch    372, Loss  0.878751, Average Loss  0.868204, Time  0.451066
2021-09-10 00:37:06.674817 : Epoch  5, Batch    685, Loss  0.542369, Average Loss  0.550500, Time  0.266635
2021-09-10 00:37:08.007828 : Epoch  8, Batch    373, Loss  0.848962, Average Loss  0.868190, Time  0.356478
2021-09-10 00:37:08.587015 : Epoch  5, Batch    686, Loss  0.552790, Average Loss  0.550473, Time  0.258699
2021-09-10 00:37:09.802818 : Epoch  8, Batch    374, Loss  0.858289, Average Loss  0.868083, Time  0.356880
2021-09-10 00:37:10.464145 : Epoch  5, Batch    687, Loss  0.543303, Average Loss  0.550506, Time  0.258638
2021-09-10 00:37:11.607945 : Epoch  8, Batch    375, Loss  0.912666, Average Loss  0.868348, Time  0.375312
2021-09-10 00:37:12.348952 : Epoch  5, Batch    688, Loss  0.550650, Average Loss  0.550476, Time  0.267553
2021-09-10 00:37:13.511786 : Epoch  8, Batch    376, Loss  0.865921, Average Loss  0.868376, Time  0.453136
2021-09-10 00:37:14.243881 : Epoch  5, Batch    689, Loss  0.545264, Average Loss  0.550487, Time  0.267448
2021-09-10 00:37:15.289224 : Epoch  8, Batch    377, Loss  0.911352, Average Loss  0.868681, Time  0.351737
2021-09-10 00:37:16.137819 : Epoch  5, Batch    690, Loss  0.526856, Average Loss  0.550341, Time  0.259169
2021-09-10 00:37:17.094908 : Epoch  8, Batch    378, Loss  0.843722, Average Loss  0.868571, Time  0.359578
2021-09-10 00:37:18.064665 : Epoch  5, Batch    691, Loss  0.552284, Average Loss  0.550403, Time  0.263194
2021-09-10 00:37:18.884855 : Epoch  8, Batch    379, Loss  0.870973, Average Loss  0.868531, Time  0.364937
2021-09-10 00:37:19.958910 : Epoch  5, Batch    692, Loss  0.553306, Average Loss  0.550369, Time  0.261172
2021-09-10 00:37:20.765784 : Epoch  8, Batch    380, Loss  0.878265, Average Loss  0.868493, Time  0.454021
2021-09-10 00:37:21.856078 : Epoch  5, Batch    693, Loss  0.535923, Average Loss  0.550278, Time  0.259097
2021-09-10 00:37:22.555833 : Epoch  8, Batch    381, Loss  0.875688, Average Loss  0.868556, Time  0.355981
2021-09-10 00:37:23.762775 : Epoch  5, Batch    694, Loss  0.544567, Average Loss  0.550298, Time  0.258636
2021-09-10 00:37:24.357777 : Epoch  8, Batch    382, Loss  0.850740, Average Loss  0.868479, Time  0.357492
2021-09-10 00:37:25.666916 : Epoch  5, Batch    695, Loss  0.555364, Average Loss  0.550351, Time  0.258018
2021-09-10 00:37:26.171804 : Epoch  8, Batch    383, Loss  0.887319, Average Loss  0.868662, Time  0.367715
2021-09-10 00:37:27.560084 : Epoch  5, Batch    696, Loss  0.534227, Average Loss  0.550253, Time  0.258742
2021-09-10 00:37:28.052790 : Epoch  8, Batch    384, Loss  0.874374, Average Loss  0.868617, Time  0.448689
2021-09-10 00:37:29.446636 : Epoch  5, Batch    697, Loss  0.538654, Average Loss  0.550185, Time  0.258997
2021-09-10 00:37:29.841948 : Epoch  8, Batch    385, Loss  0.866430, Average Loss  0.868753, Time  0.355925
2021-09-10 00:37:31.333679 : Epoch  5, Batch    698, Loss  0.547746, Average Loss  0.550219, Time  0.266865
2021-09-10 00:37:31.644059 : Epoch  8, Batch    386, Loss  0.842061, Average Loss  0.868647, Time  0.357140
2021-09-10 00:37:33.218873 : Epoch  5, Batch    699, Loss  0.549950, Average Loss  0.550262, Time  0.262350
2021-09-10 00:37:33.458106 : Epoch  8, Batch    387, Loss  0.904177, Average Loss  0.868940, Time  0.364514
2021-09-10 00:37:35.108826 : Epoch  5, Batch    700, Loss  0.549173, Average Loss  0.550242, Time  0.261514
2021-09-10 00:37:35.350817 : Epoch  8, Batch    388, Loss  0.867978, Average Loss  0.869006, Time  0.455739
2021-09-10 00:37:37.002807 : Epoch  5, Batch    701, Loss  0.538126, Average Loss  0.550195, Time  0.258306
2021-09-10 00:37:37.182791 : Epoch  8, Batch    389, Loss  0.893481, Average Loss  0.868989, Time  0.405141
2021-09-10 00:37:38.956953 : Epoch  5, Batch    702, Loss  0.558296, Average Loss  0.550251, Time  0.257931
2021-09-10 00:37:39.004105 : Epoch  8, Batch    390, Loss  0.910275, Average Loss  0.869175, Time  0.356791
2021-09-10 00:37:40.819791 : Epoch  8, Batch    391, Loss  0.867862, Average Loss  0.869120, Time  0.394020
2021-09-10 00:37:40.866794 : Epoch  5, Batch    703, Loss  0.542094, Average Loss  0.550208, Time  0.263453
2021-09-10 00:37:42.830834 : Epoch  8, Batch    392, Loss  0.854291, Average Loss  0.869086, Time  0.451117
2021-09-10 00:37:42.928917 : Epoch  5, Batch    704, Loss  0.546677, Average Loss  0.550085, Time  0.262709
2021-09-10 00:37:44.658774 : Epoch  8, Batch    393, Loss  0.894799, Average Loss  0.869204, Time  0.393342
2021-09-10 00:37:44.825885 : Epoch  5, Batch    705, Loss  0.554337, Average Loss  0.550180, Time  0.264078
2021-09-10 00:37:46.451787 : Epoch  8, Batch    394, Loss  0.876055, Average Loss  0.869281, Time  0.357860
2021-09-10 00:37:46.705077 : Epoch  5, Batch    706, Loss  0.556867, Average Loss  0.550188, Time  0.259440
2021-09-10 00:37:48.269777 : Epoch  8, Batch    395, Loss  0.922289, Average Loss  0.869702, Time  0.357540
2021-09-10 00:37:48.579020 : Epoch  5, Batch    707, Loss  0.542250, Average Loss  0.550154, Time  0.259018
2021-09-10 00:37:50.141773 : Epoch  8, Batch    396, Loss  0.885854, Average Loss  0.869834, Time  0.446452
2021-09-10 00:37:50.437053 : Epoch  5, Batch    708, Loss  0.539051, Average Loss  0.550215, Time  0.258051
2021-09-10 00:37:52.008775 : Epoch  8, Batch    397, Loss  0.816510, Average Loss  0.869542, Time  0.441329
2021-09-10 00:37:52.311827 : Epoch  5, Batch    709, Loss  0.549240, Average Loss  0.550194, Time  0.261195
2021-09-10 00:37:53.793777 : Epoch  8, Batch    398, Loss  0.873215, Average Loss  0.869635, Time  0.359495
2021-09-10 00:37:54.190951 : Epoch  5, Batch    710, Loss  0.542042, Average Loss  0.550215, Time  0.266320
2021-09-10 00:37:55.564767 : Epoch  8, Batch    399, Loss  0.896217, Average Loss  0.869924, Time  0.358097
2021-09-10 00:37:56.091757 : Epoch  5, Batch    711, Loss  0.553404, Average Loss  0.550257, Time  0.258558
2021-09-10 00:37:57.422764 : Epoch  8, Batch    400, Loss  0.893461, Average Loss  0.870058, Time  0.430062
2021-09-10 00:37:57.998786 : Epoch  5, Batch    712, Loss  0.561045, Average Loss  0.550300, Time  0.260934
2021-09-10 00:37:59.327915 : Epoch  8, Batch    401, Loss  0.818233, Average Loss  0.869892, Time  0.453633
2021-09-10 00:37:59.881082 : Epoch  5, Batch    713, Loss  0.548540, Average Loss  0.550312, Time  0.258281
2021-09-10 00:38:01.206982 : Epoch  8, Batch    402, Loss  0.884876, Average Loss  0.869979, Time  0.403512
2021-09-10 00:38:01.758010 : Epoch  5, Batch    714, Loss  0.549676, Average Loss  0.550383, Time  0.261436
2021-09-10 00:38:03.016118 : Epoch  8, Batch    403, Loss  0.879315, Average Loss  0.870023, Time  0.357204
2021-09-10 00:38:03.633012 : Epoch  5, Batch    715, Loss  0.540368, Average Loss  0.550355, Time  0.261286
2021-09-10 00:38:04.825917 : Epoch  8, Batch    404, Loss  0.874320, Average Loss  0.869946, Time  0.356249
2021-09-10 00:38:05.526078 : Epoch  5, Batch    716, Loss  0.544323, Average Loss  0.550326, Time  0.263436
2021-09-10 00:38:06.701766 : Epoch  8, Batch    405, Loss  0.859118, Average Loss  0.869902, Time  0.429107
2021-09-10 00:38:07.403091 : Epoch  5, Batch    717, Loss  0.544640, Average Loss  0.550275, Time  0.258369
2021-09-10 00:38:08.604198 : Epoch  8, Batch    406, Loss  0.866701, Average Loss  0.869909, Time  0.453488
2021-09-10 00:38:09.274090 : Epoch  5, Batch    718, Loss  0.563334, Average Loss  0.550381, Time  0.258500
2021-09-10 00:38:10.415769 : Epoch  8, Batch    407, Loss  0.882791, Average Loss  0.869967, Time  0.348043
2021-09-10 00:38:11.150921 : Epoch  5, Batch    719, Loss  0.552567, Average Loss  0.550413, Time  0.258102
2021-09-10 00:38:12.218046 : Epoch  8, Batch    408, Loss  0.915821, Average Loss  0.870376, Time  0.357978
2021-09-10 00:38:13.035138 : Epoch  5, Batch    720, Loss  0.547860, Average Loss  0.550398, Time  0.261933
2021-09-10 00:38:14.004851 : Epoch  8, Batch    409, Loss  0.835009, Average Loss  0.870293, Time  0.357905
2021-09-10 00:38:14.930081 : Epoch  5, Batch    721, Loss  0.534131, Average Loss  0.550355, Time  0.258233
2021-09-10 00:38:15.891160 : Epoch  8, Batch    410, Loss  0.870037, Average Loss  0.870341, Time  0.451682
2021-09-10 00:38:16.811791 : Epoch  5, Batch    722, Loss  0.571664, Average Loss  0.550478, Time  0.258906
2021-09-10 00:38:17.685833 : Epoch  8, Batch    411, Loss  0.866923, Average Loss  0.870314, Time  0.350495
2021-09-10 00:38:19.501239 : Epoch  8, Batch    412, Loss  0.855289, Average Loss  0.870354, Time  0.360538
2021-09-10 00:38:20.810881 : Epoch  5, Batch    723, Loss  0.551692, Average Loss  0.550507, Time  0.276875
2021-09-10 00:38:21.300077 : Epoch  8, Batch    413, Loss  0.836355, Average Loss  0.870271, Time  0.356899
2021-09-10 00:38:22.692782 : Epoch  5, Batch    724, Loss  0.537974, Average Loss  0.550422, Time  0.270196
2021-09-10 00:38:23.183775 : Epoch  8, Batch    414, Loss  0.890225, Average Loss  0.870365, Time  0.453635
2021-09-10 00:38:24.598809 : Epoch  5, Batch    725, Loss  0.527489, Average Loss  0.550298, Time  0.264001
2021-09-10 00:38:24.948761 : Epoch  8, Batch    415, Loss  0.911951, Average Loss  0.870618, Time  0.335698
2021-09-10 00:38:26.507202 : Epoch  5, Batch    726, Loss  0.544921, Average Loss  0.550311, Time  0.263100
2021-09-10 00:38:26.717757 : Epoch  8, Batch    416, Loss  0.876670, Average Loss  0.870756, Time  0.357613
2021-09-10 00:38:28.421104 : Epoch  5, Batch    727, Loss  0.537694, Average Loss  0.550269, Time  0.258163
2021-09-10 00:38:28.515834 : Epoch  8, Batch    417, Loss  0.862404, Average Loss  0.870773, Time  0.359848
2021-09-10 00:38:30.359814 : Epoch  5, Batch    728, Loss  0.561481, Average Loss  0.550370, Time  0.271016
2021-09-10 00:38:30.453012 : Epoch  8, Batch    418, Loss  0.874915, Average Loss  0.870926, Time  0.454456
2021-09-10 00:38:32.250879 : Epoch  5, Batch    729, Loss  0.556746, Average Loss  0.550377, Time  0.262728
2021-09-10 00:38:32.328821 : Epoch  8, Batch    419, Loss  0.848320, Average Loss  0.871036, Time  0.440061
2021-09-10 00:38:34.111152 : Epoch  8, Batch    420, Loss  0.894255, Average Loss  0.871261, Time  0.360552
2021-09-10 00:38:34.167965 : Epoch  5, Batch    730, Loss  0.529323, Average Loss  0.550339, Time  0.262024
2021-09-10 00:38:35.901672 : Epoch  8, Batch    421, Loss  0.828634, Average Loss  0.871103, Time  0.357712
2021-09-10 00:38:36.064983 : Epoch  5, Batch    731, Loss  0.548998, Average Loss  0.550236, Time  0.259160
2021-09-10 00:38:37.737005 : Epoch  8, Batch    422, Loss  0.828030, Average Loss  0.871010, Time  0.415132
2021-09-10 00:38:37.954868 : Epoch  5, Batch    732, Loss  0.541075, Average Loss  0.550184, Time  0.265671
2021-09-10 00:38:39.628800 : Epoch  8, Batch    423, Loss  0.849838, Average Loss  0.870861, Time  0.451847
2021-09-10 00:38:39.858993 : Epoch  5, Batch    733, Loss  0.545360, Average Loss  0.550206, Time  0.264613
2021-09-10 00:38:41.769011 : Epoch  5, Batch    734, Loss  0.552121, Average Loss  0.550212, Time  0.262088
2021-09-10 00:38:43.693972 : Epoch  5, Batch    735, Loss  0.555115, Average Loss  0.550253, Time  0.267904
2021-09-10 00:38:45.601764 : Epoch  5, Batch    736, Loss  0.548107, Average Loss  0.550217, Time  0.265954
2021-09-10 00:38:47.497794 : Epoch  5, Batch    737, Loss  0.550370, Average Loss  0.550171, Time  0.266912
2021-09-10 00:38:49.385081 : Epoch  5, Batch    738, Loss  0.555595, Average Loss  0.550214, Time  0.264914
2021-09-10 00:38:51.282795 : Epoch  5, Batch    739, Loss  0.551677, Average Loss  0.550167, Time  0.264596
2021-09-10 00:38:53.173081 : Epoch  5, Batch    740, Loss  0.551931, Average Loss  0.550193, Time  0.267135
2021-09-10 00:38:55.056908 : Epoch  5, Batch    741, Loss  0.544317, Average Loss  0.550175, Time  0.262566
2021-09-10 00:38:56.920192 : Epoch  5, Batch    742, Loss  0.542064, Average Loss  0.550177, Time  0.262633
2021-09-10 00:38:58.799754 : Epoch  5, Batch    743, Loss  0.540309, Average Loss  0.550176, Time  0.258451
2021-09-10 00:39:00.693911 : Epoch  5, Batch    744, Loss  0.543944, Average Loss  0.550137, Time  0.265800
2021-09-10 00:39:02.585132 : Epoch  5, Batch    745, Loss  0.550848, Average Loss  0.550150, Time  0.259184
2021-09-10 00:39:04.501337 : Epoch  5, Batch    746, Loss  0.554174, Average Loss  0.550208, Time  0.266821
2021-09-10 00:39:06.409923 : Epoch  5, Batch    747, Loss  0.544012, Average Loss  0.550135, Time  0.258058
2021-09-10 00:39:08.316478 : Epoch  5, Batch    748, Loss  0.544933, Average Loss  0.550119, Time  0.258360
2021-09-10 00:39:10.194815 : Epoch  5, Batch    749, Loss  0.541585, Average Loss  0.550106, Time  0.259133
2021-09-10 00:39:12.078448 : Epoch  5, Batch    750, Loss  0.539062, Average Loss  0.550089, Time  0.259369
2021-09-10 00:39:13.955784 : Epoch  5, Batch    751, Loss  0.533673, Average Loss  0.549942, Time  0.259386
2021-09-10 00:39:15.826858 : Epoch  5, Batch    752, Loss  0.552182, Average Loss  0.550014, Time  0.262202
2021-09-10 00:40:25.801744 : CheckPoint: Validation Loss  0.00022396, Best Loss  0.00022396
2021-09-10 00:40:25.848647 : Best Model Updated
2021-09-10 00:40:28.617907 : Epoch  5, Batch    753, Loss  0.547827, Average Loss  0.550048, Time  0.263092
2021-09-10 00:40:30.495058 : Epoch  5, Batch    754, Loss  0.549370, Average Loss  0.550038, Time  0.261058
2021-09-10 00:40:32.406875 : Epoch  5, Batch    755, Loss  0.557149, Average Loss  0.550073, Time  0.261589
2021-09-10 00:40:34.309802 : Epoch  5, Batch    756, Loss  0.540318, Average Loss  0.550020, Time  0.259119
2021-09-10 00:40:36.180936 : Epoch  5, Batch    757, Loss  0.563625, Average Loss  0.550115, Time  0.261716
2021-09-10 00:40:38.059828 : Epoch  5, Batch    758, Loss  0.549851, Average Loss  0.550085, Time  0.260269
2021-09-10 00:40:39.948844 : Epoch  5, Batch    759, Loss  0.543257, Average Loss  0.550025, Time  0.262524
2021-09-10 00:40:41.834902 : Epoch  5, Batch    760, Loss  0.551582, Average Loss  0.550000, Time  0.259068
2021-09-10 00:40:43.719887 : Epoch  5, Batch    761, Loss  0.547745, Average Loss  0.549906, Time  0.263327
2021-09-10 00:40:45.615097 : Epoch  5, Batch    762, Loss  0.533701, Average Loss  0.549794, Time  0.262881
2021-09-10 00:40:47.519808 : Epoch  5, Batch    763, Loss  0.544286, Average Loss  0.549791, Time  0.262788
2021-09-10 00:40:49.401032 : Epoch  5, Batch    764, Loss  0.558334, Average Loss  0.549853, Time  0.263143
2021-09-10 00:40:51.281092 : Epoch  5, Batch    765, Loss  0.545599, Average Loss  0.549872, Time  0.264013
2021-09-10 00:40:53.194912 : Epoch  5, Batch    766, Loss  0.531806, Average Loss  0.549805, Time  0.268227
2021-09-10 00:40:55.101085 : Epoch  5, Batch    767, Loss  0.553370, Average Loss  0.549798, Time  0.267642
2021-09-10 00:40:57.008933 : Epoch  5, Batch    768, Loss  0.543828, Average Loss  0.549771, Time  0.269134
2021-09-10 00:40:58.916095 : Epoch  5, Batch    769, Loss  0.537350, Average Loss  0.549710, Time  0.258492
2021-09-10 00:41:00.799983 : Epoch  5, Batch    770, Loss  0.550002, Average Loss  0.549683, Time  0.258591
2021-09-10 00:41:02.673088 : Epoch  5, Batch    771, Loss  0.545860, Average Loss  0.549639, Time  0.259902
2021-09-10 00:41:04.552074 : Epoch  5, Batch    772, Loss  0.557169, Average Loss  0.549675, Time  0.262420
2021-09-10 00:41:06.443812 : Epoch  5, Batch    773, Loss  0.542225, Average Loss  0.549594, Time  0.258553
2021-09-10 00:41:08.369890 : Epoch  5, Batch    774, Loss  0.540379, Average Loss  0.549596, Time  0.270565
2021-09-10 00:41:10.273841 : Epoch  5, Batch    775, Loss  0.542523, Average Loss  0.549630, Time  0.265167
2021-09-10 00:41:12.177078 : Epoch  5, Batch    776, Loss  0.556765, Average Loss  0.549702, Time  0.264371
2021-09-10 00:41:14.061400 : Epoch  5, Batch    777, Loss  0.533769, Average Loss  0.549590, Time  0.265812
2021-09-10 00:41:15.970124 : Epoch  5, Batch    778, Loss  0.538866, Average Loss  0.549520, Time  0.262091
2021-09-10 00:41:17.870134 : Epoch  5, Batch    779, Loss  0.533511, Average Loss  0.549415, Time  0.269006
2021-09-10 00:41:19.763891 : Epoch  5, Batch    780, Loss  0.548104, Average Loss  0.549263, Time  0.261136
2021-09-10 00:41:21.648889 : Epoch  5, Batch    781, Loss  0.525893, Average Loss  0.548980, Time  0.260852
2021-09-10 00:41:23.546877 : Epoch  5, Batch    782, Loss  0.545725, Average Loss  0.548813, Time  0.262602
2021-09-10 00:41:25.449925 : Epoch  5, Batch    783, Loss  0.554714, Average Loss  0.548723, Time  0.262456
2021-09-10 00:41:27.348608 : Epoch  5, Batch    784, Loss  0.535731, Average Loss  0.548562, Time  0.260782
2021-09-10 00:41:29.222872 : Epoch  5, Batch    785, Loss  0.537492, Average Loss  0.548439, Time  0.258764
2021-09-10 00:41:31.126099 : Epoch  5, Batch    786, Loss  0.555375, Average Loss  0.548424, Time  0.262099
2021-09-10 00:41:33.011090 : Epoch  5, Batch    787, Loss  0.550055, Average Loss  0.548325, Time  0.258550
2021-09-10 00:41:33.091630 : Saving Model after 5-th Epoch.
2021-09-10 00:41:34.229674 : Epoch Finished.
2021-09-10 00:41:36.385677 : Batch Shuffled
2021-09-10 00:41:38.305769 : Epoch  6, Batch      1, Loss  0.561858, Average Loss  0.548340, Time  0.264168
2021-09-10 00:41:40.241205 : Epoch  6, Batch      2, Loss  0.537070, Average Loss  0.548256, Time  0.258162
2021-09-10 00:41:42.135921 : Epoch  6, Batch      3, Loss  0.538642, Average Loss  0.548129, Time  0.258454
2021-09-10 00:41:44.041804 : Epoch  6, Batch      4, Loss  0.548176, Average Loss  0.548004, Time  0.258302
2021-09-10 00:41:45.974807 : Epoch  6, Batch      5, Loss  0.545943, Average Loss  0.547896, Time  0.263438
2021-09-10 00:41:47.843771 : Epoch  6, Batch      6, Loss  0.543415, Average Loss  0.547771, Time  0.259331
2021-09-10 00:41:49.709997 : Epoch  6, Batch      7, Loss  0.558265, Average Loss  0.547815, Time  0.259595
2021-09-10 00:41:51.600510 : Epoch  6, Batch      8, Loss  0.556303, Average Loss  0.547756, Time  0.257717
2021-09-10 00:41:53.471817 : Epoch  6, Batch      9, Loss  0.533953, Average Loss  0.547653, Time  0.258482
2021-09-10 00:41:55.334253 : Epoch  6, Batch     10, Loss  0.558870, Average Loss  0.547696, Time  0.262647
2021-09-10 00:41:57.210897 : Epoch  6, Batch     11, Loss  0.544774, Average Loss  0.547590, Time  0.265268
2021-09-10 00:41:59.119922 : Epoch  6, Batch     12, Loss  0.539515, Average Loss  0.547453, Time  0.265908
2021-09-10 00:42:01.027865 : Epoch  6, Batch     13, Loss  0.544178, Average Loss  0.547462, Time  0.267915
2021-09-10 00:42:02.909904 : Epoch  6, Batch     14, Loss  0.541794, Average Loss  0.547353, Time  0.266661
2021-09-10 00:42:04.794834 : Epoch  6, Batch     15, Loss  0.531227, Average Loss  0.547271, Time  0.261375
2021-09-10 00:42:06.661796 : Epoch  6, Batch     16, Loss  0.549685, Average Loss  0.547213, Time  0.258794
2021-09-10 00:42:08.537791 : Epoch  6, Batch     17, Loss  0.546169, Average Loss  0.547201, Time  0.258360
2021-09-10 00:42:10.415081 : Epoch  6, Batch     18, Loss  0.554057, Average Loss  0.547246, Time  0.259624
2021-09-10 00:42:12.303837 : Epoch  6, Batch     19, Loss  0.540667, Average Loss  0.547160, Time  0.258062
2021-09-10 00:42:14.177945 : Epoch  6, Batch     20, Loss  0.542275, Average Loss  0.547033, Time  0.263260
2021-09-10 00:42:16.059861 : Epoch  6, Batch     21, Loss  0.544204, Average Loss  0.546988, Time  0.261394
2021-09-10 00:42:17.963831 : Epoch  6, Batch     22, Loss  0.541155, Average Loss  0.546931, Time  0.269479
2021-09-10 00:42:19.856105 : Epoch  6, Batch     23, Loss  0.550879, Average Loss  0.546998, Time  0.258917
2021-09-10 00:42:21.746797 : Epoch  6, Batch     24, Loss  0.554038, Average Loss  0.546990, Time  0.258364
2021-09-10 00:42:23.657767 : Epoch  6, Batch     25, Loss  0.549674, Average Loss  0.547018, Time  0.257891
2021-09-10 00:42:25.541851 : Epoch  6, Batch     26, Loss  0.556239, Average Loss  0.547085, Time  0.257913
2021-09-10 00:42:27.467144 : Epoch  6, Batch     27, Loss  0.550005, Average Loss  0.547173, Time  0.262522
2021-09-10 00:42:29.463775 : Epoch  6, Batch     28, Loss  0.535413, Average Loss  0.547078, Time  0.257718
2021-09-10 00:42:31.353965 : Epoch  6, Batch     29, Loss  0.537199, Average Loss  0.547079, Time  0.259830
2021-09-10 00:42:33.253905 : Epoch  6, Batch     30, Loss  0.545000, Average Loss  0.547021, Time  0.259015
2021-09-10 00:42:35.142788 : Epoch  6, Batch     31, Loss  0.551690, Average Loss  0.547059, Time  0.259590
2021-09-10 00:42:37.020761 : Epoch  6, Batch     32, Loss  0.540860, Average Loss  0.547065, Time  0.259774
2021-09-10 00:42:38.900851 : Epoch  6, Batch     33, Loss  0.557695, Average Loss  0.547154, Time  0.258597
2021-09-10 00:42:40.787817 : Epoch  6, Batch     34, Loss  0.546323, Average Loss  0.547095, Time  0.258847
2021-09-10 00:42:42.692958 : Epoch  6, Batch     35, Loss  0.556009, Average Loss  0.547090, Time  0.261673
2021-09-10 00:42:44.569838 : Epoch  6, Batch     36, Loss  0.542528, Average Loss  0.547147, Time  0.261222
2021-09-10 00:42:46.443815 : Epoch  6, Batch     37, Loss  0.554809, Average Loss  0.547236, Time  0.264182
2021-09-10 00:42:48.308981 : Epoch  6, Batch     38, Loss  0.540144, Average Loss  0.547209, Time  0.262620
2021-09-10 00:42:50.176080 : Epoch  6, Batch     39, Loss  0.557475, Average Loss  0.547147, Time  0.257843
2021-09-10 00:42:52.074862 : Epoch  6, Batch     40, Loss  0.546833, Average Loss  0.547140, Time  0.264516
2021-09-10 00:42:53.954091 : Epoch  6, Batch     41, Loss  0.543690, Average Loss  0.547167, Time  0.272060
2021-09-10 00:42:55.817822 : Epoch  6, Batch     42, Loss  0.545199, Average Loss  0.547152, Time  0.258325
2021-09-10 00:42:57.706138 : Epoch  6, Batch     43, Loss  0.549581, Average Loss  0.547157, Time  0.261628
2021-09-10 00:42:59.578089 : Epoch  6, Batch     44, Loss  0.547587, Average Loss  0.547125, Time  0.263801
2021-09-10 00:43:01.481137 : Epoch  6, Batch     45, Loss  0.554460, Average Loss  0.547168, Time  0.266780
2021-09-10 00:43:03.391094 : Epoch  6, Batch     46, Loss  0.546554, Average Loss  0.547150, Time  0.263412
2021-09-10 00:43:05.288782 : Epoch  6, Batch     47, Loss  0.533449, Average Loss  0.547024, Time  0.259057
2021-09-10 00:43:07.155782 : Epoch  6, Batch     48, Loss  0.547089, Average Loss  0.547009, Time  0.258417
2021-09-10 00:43:09.017837 : Epoch  6, Batch     49, Loss  0.547148, Average Loss  0.546918, Time  0.260461
2021-09-10 00:43:10.880027 : Epoch  6, Batch     50, Loss  0.545244, Average Loss  0.546884, Time  0.264488
2021-09-10 00:43:12.766870 : Epoch  6, Batch     51, Loss  0.536386, Average Loss  0.546815, Time  0.263186
2021-09-10 00:43:14.648973 : Epoch  6, Batch     52, Loss  0.538302, Average Loss  0.546773, Time  0.259486
2021-09-10 00:43:16.509245 : Epoch  6, Batch     53, Loss  0.539796, Average Loss  0.546767, Time  0.258237
2021-09-10 00:43:18.393835 : Epoch  6, Batch     54, Loss  0.537052, Average Loss  0.546773, Time  0.265991
2021-09-10 00:43:20.256065 : Epoch  6, Batch     55, Loss  0.561979, Average Loss  0.546855, Time  0.262201
2021-09-10 00:43:22.138069 : Epoch  6, Batch     56, Loss  0.553510, Average Loss  0.546869, Time  0.258121
2021-09-10 00:43:24.016072 : Epoch  6, Batch     57, Loss  0.552809, Average Loss  0.546928, Time  0.258542
2021-09-10 00:43:25.884022 : Epoch  6, Batch     58, Loss  0.533886, Average Loss  0.546832, Time  0.258134
2021-09-10 00:43:27.819821 : Epoch  6, Batch     59, Loss  0.552183, Average Loss  0.546800, Time  0.269624
2021-09-10 00:43:29.730085 : Epoch  6, Batch     60, Loss  0.547355, Average Loss  0.546764, Time  0.261560
2021-09-10 00:43:31.239706 : CheckPoint: Validation Loss  0.00059385, Best Loss  0.00056427
2021-09-10 00:43:31.629982 : Epoch  6, Batch     61, Loss  0.560479, Average Loss  0.546778, Time  0.258840
2021-09-10 00:43:33.024821 : Epoch  8, Batch    424, Loss  0.859273, Average Loss  0.870781, Time  0.348292
2021-09-10 00:43:33.515080 : Epoch  6, Batch     62, Loss  0.548680, Average Loss  0.546819, Time  0.261777
2021-09-10 00:43:34.825779 : Epoch  8, Batch    425, Loss  0.883692, Average Loss  0.870904, Time  0.357651
2021-09-10 00:43:35.412089 : Epoch  6, Batch     63, Loss  0.550459, Average Loss  0.546820, Time  0.265921
2021-09-10 00:43:36.618766 : Epoch  8, Batch    426, Loss  0.848100, Average Loss  0.870767, Time  0.361711
2021-09-10 00:43:37.332074 : Epoch  6, Batch     64, Loss  0.559397, Average Loss  0.546869, Time  0.273820
2021-09-10 00:43:38.513780 : Epoch  8, Batch    427, Loss  0.861802, Average Loss  0.870776, Time  0.456087
2021-09-10 00:43:40.414506 : Epoch  8, Batch    428, Loss  0.883529, Average Loss  0.870936, Time  0.455098
2021-09-10 00:43:41.313082 : Epoch  6, Batch     65, Loss  0.553477, Average Loss  0.546933, Time  0.271097
2021-09-10 00:43:42.232849 : Epoch  8, Batch    429, Loss  0.848409, Average Loss  0.870741, Time  0.373689
2021-09-10 00:43:44.058133 : Epoch  8, Batch    430, Loss  0.866075, Average Loss  0.870742, Time  0.366671
2021-09-10 00:43:45.870781 : Epoch  8, Batch    431, Loss  0.871179, Average Loss  0.870772, Time  0.405213
2021-09-10 00:43:47.743668 : Epoch  8, Batch    432, Loss  0.876197, Average Loss  0.870956, Time  0.450606
2021-09-10 00:43:49.527776 : Epoch  8, Batch    433, Loss  0.891763, Average Loss  0.871100, Time  0.367826
2021-09-10 00:43:51.319781 : Epoch  8, Batch    434, Loss  0.845737, Average Loss  0.870770, Time  0.362025
2021-09-10 00:43:53.109785 : Epoch  8, Batch    435, Loss  0.853651, Average Loss  0.870624, Time  0.376968
2021-09-10 00:43:55.013775 : Epoch  8, Batch    436, Loss  0.894110, Average Loss  0.870786, Time  0.451666
2021-09-10 00:43:56.827122 : Epoch  8, Batch    437, Loss  0.885095, Average Loss  0.870772, Time  0.355621
2021-09-10 00:43:58.612778 : Epoch  8, Batch    438, Loss  0.873619, Average Loss  0.870768, Time  0.358957
2021-09-10 00:44:00.406778 : Epoch  8, Batch    439, Loss  0.865683, Average Loss  0.870740, Time  0.355274
2021-09-10 00:44:02.295606 : Epoch  8, Batch    440, Loss  0.884548, Average Loss  0.870750, Time  0.457984
2021-09-10 00:44:04.137781 : Epoch  8, Batch    441, Loss  0.842189, Average Loss  0.870487, Time  0.433449
2021-09-10 00:44:05.914137 : Epoch  8, Batch    442, Loss  0.867727, Average Loss  0.870325, Time  0.355924
2021-09-10 00:44:07.730771 : Epoch  8, Batch    443, Loss  0.857969, Average Loss  0.870313, Time  0.356761
2021-09-10 00:44:09.566016 : Epoch  8, Batch    444, Loss  0.862264, Average Loss  0.870242, Time  0.429145
2021-09-10 00:44:11.455633 : Epoch  8, Batch    445, Loss  0.857925, Average Loss  0.870311, Time  0.454843
2021-09-10 00:44:13.231178 : Epoch  8, Batch    446, Loss  0.834971, Average Loss  0.870130, Time  0.364706
2021-09-10 00:44:15.009212 : Epoch  8, Batch    447, Loss  0.859088, Average Loss  0.870262, Time  0.359753
2021-09-10 00:44:16.835887 : Epoch  8, Batch    448, Loss  0.857736, Average Loss  0.870166, Time  0.392246
2021-09-10 00:44:18.703348 : Epoch  8, Batch    449, Loss  0.881895, Average Loss  0.870214, Time  0.451062
2021-09-10 00:44:20.469913 : Epoch  8, Batch    450, Loss  0.840883, Average Loss  0.870059, Time  0.356914
2021-09-10 00:44:22.254765 : Epoch  8, Batch    451, Loss  0.877278, Average Loss  0.870037, Time  0.365855
2021-09-10 00:44:24.064750 : Epoch  8, Batch    452, Loss  0.873607, Average Loss  0.870050, Time  0.386063
2021-09-10 00:44:25.971765 : Epoch  8, Batch    453, Loss  0.868414, Average Loss  0.869990, Time  0.462525
2021-09-10 00:44:27.844807 : Epoch  8, Batch    454, Loss  0.866049, Average Loss  0.869944, Time  0.369724
2021-09-10 00:44:29.641075 : Epoch  8, Batch    455, Loss  0.866491, Average Loss  0.870029, Time  0.366635
2021-09-10 00:44:31.430782 : Epoch  8, Batch    456, Loss  0.827058, Average Loss  0.869930, Time  0.359139
2021-09-10 00:44:33.317273 : Epoch  8, Batch    457, Loss  0.867724, Average Loss  0.869837, Time  0.448626
2021-09-10 00:44:35.206781 : Epoch  8, Batch    458, Loss  0.875230, Average Loss  0.869879, Time  0.451581
2021-09-10 00:44:37.015833 : Epoch  8, Batch    459, Loss  0.848500, Average Loss  0.869721, Time  0.363377
2021-09-10 00:44:38.769636 : Epoch  8, Batch    460, Loss  0.889229, Average Loss  0.869911, Time  0.357128
2021-09-10 00:44:40.567750 : Epoch  8, Batch    461, Loss  0.879621, Average Loss  0.869917, Time  0.385768
2021-09-10 00:44:42.440777 : Epoch  8, Batch    462, Loss  0.886597, Average Loss  0.870090, Time  0.463929
2021-09-10 00:44:44.220820 : Epoch  8, Batch    463, Loss  0.877687, Average Loss  0.870204, Time  0.362342
2021-09-10 00:44:46.003948 : Epoch  8, Batch    464, Loss  0.840816, Average Loss  0.870193, Time  0.360395
2021-09-10 00:44:47.816783 : Epoch  8, Batch    465, Loss  0.894282, Average Loss  0.870173, Time  0.390033
2021-09-10 00:44:49.700111 : Epoch  8, Batch    466, Loss  0.856295, Average Loss  0.869979, Time  0.455821
2021-09-10 00:44:50.760756 : CheckPoint: Validation Loss  0.00022632, Best Loss  0.00022396
2021-09-10 00:44:51.476483 : Epoch  8, Batch    467, Loss  0.903657, Average Loss  0.870011, Time  0.361956
2021-09-10 00:44:52.658006 : Epoch  6, Batch     66, Loss  0.551374, Average Loss  0.546949, Time  0.263025
2021-09-10 00:44:53.247288 : Epoch  8, Batch    468, Loss  0.886922, Average Loss  0.869972, Time  0.358682
2021-09-10 00:44:54.558764 : Epoch  6, Batch     67, Loss  0.549664, Average Loss  0.546945, Time  0.262300
2021-09-10 00:44:55.049777 : Epoch  8, Batch    469, Loss  0.860096, Average Loss  0.869835, Time  0.388165
2021-09-10 00:44:56.477809 : Epoch  6, Batch     68, Loss  0.521049, Average Loss  0.546796, Time  0.270136
2021-09-10 00:44:56.923040 : Epoch  8, Batch    470, Loss  0.862259, Average Loss  0.869684, Time  0.458276
2021-09-10 00:44:58.375856 : Epoch  6, Batch     69, Loss  0.555576, Average Loss  0.546786, Time  0.259002
2021-09-10 00:44:58.686694 : Epoch  8, Batch    471, Loss  0.859191, Average Loss  0.869756, Time  0.360869
2021-09-10 00:45:00.278945 : Epoch  6, Batch     70, Loss  0.539711, Average Loss  0.546743, Time  0.261872
2021-09-10 00:45:00.473778 : Epoch  8, Batch    472, Loss  0.892991, Average Loss  0.869793, Time  0.365784
2021-09-10 00:45:02.144803 : Epoch  6, Batch     71, Loss  0.566595, Average Loss  0.546890, Time  0.258526
2021-09-10 00:45:02.313917 : Epoch  8, Batch    473, Loss  0.855003, Average Loss  0.869743, Time  0.384115
2021-09-10 00:45:04.036780 : Epoch  6, Batch     72, Loss  0.551788, Average Loss  0.546903, Time  0.258023
2021-09-10 00:45:04.201808 : Epoch  8, Batch    474, Loss  0.897878, Average Loss  0.869990, Time  0.450080
2021-09-10 00:45:05.924049 : Epoch  6, Batch     73, Loss  0.545470, Average Loss  0.546880, Time  0.257985
2021-09-10 00:45:05.965756 : Epoch  8, Batch    475, Loss  0.850404, Average Loss  0.869975, Time  0.357708
2021-09-10 00:45:07.750981 : Epoch  8, Batch    476, Loss  0.845246, Average Loss  0.869807, Time  0.356886
2021-09-10 00:45:07.793064 : Epoch  6, Batch     74, Loss  0.545609, Average Loss  0.546832, Time  0.258278
2021-09-10 00:45:09.545148 : Epoch  8, Batch    477, Loss  0.884401, Average Loss  0.869934, Time  0.389240
2021-09-10 00:45:09.674061 : Epoch  6, Batch     75, Loss  0.533614, Average Loss  0.546743, Time  0.258098
2021-09-10 00:45:11.430935 : Epoch  8, Batch    478, Loss  0.865938, Average Loss  0.869849, Time  0.459313
2021-09-10 00:45:11.552086 : Epoch  6, Batch     76, Loss  0.541846, Average Loss  0.546675, Time  0.258255
2021-09-10 00:45:13.203843 : Epoch  8, Batch    479, Loss  0.841633, Average Loss  0.869759, Time  0.365666
2021-09-10 00:45:13.427789 : Epoch  6, Batch     77, Loss  0.544474, Average Loss  0.546658, Time  0.258123
2021-09-10 00:45:14.980782 : Epoch  8, Batch    480, Loss  0.870308, Average Loss  0.869729, Time  0.362268
2021-09-10 00:45:15.299779 : Epoch  6, Batch     78, Loss  0.552762, Average Loss  0.546775, Time  0.258048
2021-09-10 00:45:15.491823 : Epoch  6, Batch     79, Loss  0.347479, Average Loss  0.545769, Time  0.116098
2021-09-10 00:45:16.795189 : Epoch  8, Batch    481, Loss  0.872301, Average Loss  0.869619, Time  0.387328
2021-09-10 00:45:17.371055 : Epoch  6, Batch     80, Loss  0.559630, Average Loss  0.545848, Time  0.258212
2021-09-10 00:45:18.653822 : Epoch  8, Batch    482, Loss  0.855458, Average Loss  0.869587, Time  0.453361
2021-09-10 00:45:19.289921 : Epoch  6, Batch     81, Loss  0.558800, Average Loss  0.545915, Time  0.258267
2021-09-10 00:45:20.427817 : Epoch  8, Batch    483, Loss  0.869716, Average Loss  0.869675, Time  0.363777
2021-09-10 00:45:21.201859 : Epoch  6, Batch     82, Loss  0.547571, Average Loss  0.545932, Time  0.258022
2021-09-10 00:45:22.215093 : Epoch  8, Batch    484, Loss  0.898835, Average Loss  0.869804, Time  0.362706
2021-09-10 00:45:23.103051 : Epoch  6, Batch     83, Loss  0.553848, Average Loss  0.545931, Time  0.257920
2021-09-10 00:45:24.022775 : Epoch  8, Batch    485, Loss  0.853549, Average Loss  0.869662, Time  0.404262
2021-09-10 00:45:24.997819 : Epoch  6, Batch     84, Loss  0.548733, Average Loss  0.545894, Time  0.257855
2021-09-10 00:45:25.900982 : Epoch  8, Batch    486, Loss  0.826447, Average Loss  0.869382, Time  0.455559
2021-09-10 00:45:26.893966 : Epoch  6, Batch     85, Loss  0.553637, Average Loss  0.545908, Time  0.258182
2021-09-10 00:45:27.692779 : Epoch  8, Batch    487, Loss  0.879836, Average Loss  0.869567, Time  0.359176
2021-09-10 00:45:28.829782 : Epoch  6, Batch     86, Loss  0.552180, Average Loss  0.545946, Time  0.258075
2021-09-10 00:45:29.457235 : Epoch  8, Batch    488, Loss  0.890878, Average Loss  0.869808, Time  0.358241
2021-09-10 00:45:30.715909 : Epoch  6, Batch     87, Loss  0.558908, Average Loss  0.546029, Time  0.258213
2021-09-10 00:45:31.252784 : Epoch  8, Batch    489, Loss  0.882880, Average Loss  0.869795, Time  0.371227
2021-09-10 00:45:32.607045 : Epoch  6, Batch     88, Loss  0.549677, Average Loss  0.546019, Time  0.258142
2021-09-10 00:45:33.136815 : Epoch  8, Batch    490, Loss  0.855760, Average Loss  0.869769, Time  0.458124
2021-09-10 00:45:34.477798 : Epoch  6, Batch     89, Loss  0.575750, Average Loss  0.546169, Time  0.258178
2021-09-10 00:45:34.908881 : Epoch  8, Batch    491, Loss  0.893729, Average Loss  0.869960, Time  0.339385
2021-09-10 00:45:36.354873 : Epoch  6, Batch     90, Loss  0.553062, Average Loss  0.546150, Time  0.258224
2021-09-10 00:45:36.686777 : Epoch  8, Batch    492, Loss  0.900492, Average Loss  0.870249, Time  0.359104
2021-09-10 00:45:38.227144 : Epoch  6, Batch     91, Loss  0.532515, Average Loss  0.546111, Time  0.258059
2021-09-10 00:45:38.483764 : Epoch  8, Batch    493, Loss  0.876147, Average Loss  0.870281, Time  0.358933
2021-09-10 00:45:40.106798 : Epoch  6, Batch     92, Loss  0.553455, Average Loss  0.546144, Time  0.258100
2021-09-10 00:45:40.338845 : Epoch  8, Batch    494, Loss  0.846387, Average Loss  0.870043, Time  0.452722
2021-09-10 00:45:42.025058 : Epoch  6, Batch     93, Loss  0.554743, Average Loss  0.546186, Time  0.258428
2021-09-10 00:45:42.123788 : Epoch  8, Batch    495, Loss  0.858747, Average Loss  0.869987, Time  0.355419
2021-09-10 00:45:43.906784 : Epoch  8, Batch    496, Loss  0.880922, Average Loss  0.869995, Time  0.359092
2021-09-10 00:45:43.944118 : Epoch  6, Batch     94, Loss  0.546702, Average Loss  0.546172, Time  0.258323
2021-09-10 00:45:45.717314 : Epoch  8, Batch    497, Loss  0.875831, Average Loss  0.870193, Time  0.371078
2021-09-10 00:45:45.837797 : Epoch  6, Batch     95, Loss  0.550545, Average Loss  0.546225, Time  0.258645
2021-09-10 00:45:47.648784 : Epoch  8, Batch    498, Loss  0.845731, Average Loss  0.869926, Time  0.456059
2021-09-10 00:45:47.742843 : Epoch  6, Batch     96, Loss  0.547642, Average Loss  0.546170, Time  0.258640
2021-09-10 00:45:49.526165 : Epoch  8, Batch    499, Loss  0.850891, Average Loss  0.869860, Time  0.429825
2021-09-10 00:45:49.614079 : Epoch  6, Batch     97, Loss  0.539838, Average Loss  0.546099, Time  0.265345
2021-09-10 00:45:51.312134 : Epoch  8, Batch    500, Loss  0.848271, Average Loss  0.869649, Time  0.356228
2021-09-10 00:45:51.494790 : Epoch  6, Batch     98, Loss  0.533608, Average Loss  0.546056, Time  0.262144
2021-09-10 00:45:53.092809 : Epoch  8, Batch    501, Loss  0.878759, Average Loss  0.869680, Time  0.358159
2021-09-10 00:45:53.366827 : Epoch  6, Batch     99, Loss  0.541426, Average Loss  0.545999, Time  0.257880
2021-09-10 00:45:54.956773 : Epoch  8, Batch    502, Loss  0.850136, Average Loss  0.869548, Time  0.416456
2021-09-10 00:45:55.243689 : Epoch  6, Batch    100, Loss  0.532771, Average Loss  0.545946, Time  0.262059
2021-09-10 00:45:56.854822 : Epoch  8, Batch    503, Loss  0.850316, Average Loss  0.869468, Time  0.454172
2021-09-10 00:45:57.127046 : Epoch  6, Batch    101, Loss  0.535895, Average Loss  0.545872, Time  0.258287
2021-09-10 00:45:58.659085 : Epoch  8, Batch    504, Loss  0.841766, Average Loss  0.869265, Time  0.352336
2021-09-10 00:45:59.028065 : Epoch  6, Batch    102, Loss  0.530529, Average Loss  0.545799, Time  0.257833
2021-09-10 00:46:00.474766 : Epoch  8, Batch    505, Loss  0.855379, Average Loss  0.869122, Time  0.358018
2021-09-10 00:46:00.938007 : Epoch  6, Batch    103, Loss  0.552508, Average Loss  0.545927, Time  0.258456
2021-09-10 00:46:02.302958 : Epoch  8, Batch    506, Loss  0.876708, Average Loss  0.869099, Time  0.354774
2021-09-10 00:46:02.844891 : Epoch  6, Batch    104, Loss  0.535154, Average Loss  0.545841, Time  0.258015
2021-09-10 00:46:04.206782 : Epoch  8, Batch    507, Loss  0.868937, Average Loss  0.868962, Time  0.449781
2021-09-10 00:46:04.740898 : Epoch  6, Batch    105, Loss  0.536469, Average Loss  0.545757, Time  0.258233
2021-09-10 00:46:06.067765 : Epoch  8, Batch    508, Loss  0.842899, Average Loss  0.868945, Time  0.406362
2021-09-10 00:46:06.632811 : Epoch  6, Batch    106, Loss  0.537021, Average Loss  0.545763, Time  0.258136
2021-09-10 00:46:07.858767 : Epoch  8, Batch    509, Loss  0.833800, Average Loss  0.868712, Time  0.358873
2021-09-10 00:46:08.537870 : Epoch  6, Batch    107, Loss  0.547495, Average Loss  0.545777, Time  0.260691
2021-09-10 00:46:09.668766 : Epoch  8, Batch    510, Loss  0.865184, Average Loss  0.868751, Time  0.359401
2021-09-10 00:46:10.450097 : Epoch  6, Batch    108, Loss  0.555962, Average Loss  0.545780, Time  0.258081
2021-09-10 00:46:11.554783 : Epoch  8, Batch    511, Loss  0.856710, Average Loss  0.868688, Time  0.421609
2021-09-10 00:46:12.342774 : Epoch  6, Batch    109, Loss  0.553081, Average Loss  0.545875, Time  0.260292
2021-09-10 00:46:13.441872 : Epoch  8, Batch    512, Loss  0.862479, Average Loss  0.868629, Time  0.454405
2021-09-10 00:46:14.242909 : Epoch  6, Batch    110, Loss  0.554967, Average Loss  0.545956, Time  0.266524
2021-09-10 00:46:15.248768 : Epoch  8, Batch    513, Loss  0.869993, Average Loss  0.868581, Time  0.357173
2021-09-10 00:46:16.123913 : Epoch  6, Batch    111, Loss  0.556207, Average Loss  0.545998, Time  0.258327
2021-09-10 00:46:17.046784 : Epoch  8, Batch    514, Loss  0.873976, Average Loss  0.868706, Time  0.356793
2021-09-10 00:46:18.042841 : Epoch  6, Batch    112, Loss  0.550743, Average Loss  0.546002, Time  0.258057
2021-09-10 00:46:18.868770 : Epoch  8, Batch    515, Loss  0.874018, Average Loss  0.868781, Time  0.366887
2021-09-10 00:46:19.945854 : Epoch  6, Batch    113, Loss  0.544668, Average Loss  0.545980, Time  0.258327
2021-09-10 00:46:20.754246 : Epoch  8, Batch    516, Loss  0.846484, Average Loss  0.868619, Time  0.450573
2021-09-10 00:46:21.851777 : Epoch  6, Batch    114, Loss  0.542652, Average Loss  0.546002, Time  0.258403
2021-09-10 00:46:22.542824 : Epoch  8, Batch    517, Loss  0.856736, Average Loss  0.868812, Time  0.348126
2021-09-10 00:46:23.758797 : Epoch  6, Batch    115, Loss  0.548599, Average Loss  0.545954, Time  0.261735
2021-09-10 00:46:24.343091 : Epoch  8, Batch    518, Loss  0.892709, Average Loss  0.868927, Time  0.356259
2021-09-10 00:46:25.652784 : Epoch  6, Batch    116, Loss  0.560585, Average Loss  0.546046, Time  0.257956
2021-09-10 00:46:26.129777 : Epoch  8, Batch    519, Loss  0.895813, Average Loss  0.868972, Time  0.366762
2021-09-10 00:46:27.558919 : Epoch  6, Batch    117, Loss  0.548498, Average Loss  0.546056, Time  0.260556
2021-09-10 00:46:27.999784 : Epoch  8, Batch    520, Loss  0.872579, Average Loss  0.868995, Time  0.451664
2021-09-10 00:46:29.497966 : Epoch  6, Batch    118, Loss  0.548585, Average Loss  0.546027, Time  0.258354
2021-09-10 00:46:29.760033 : Epoch  8, Batch    521, Loss  0.865336, Average Loss  0.869126, Time  0.348524
2021-09-10 00:46:31.385765 : Epoch  6, Batch    119, Loss  0.540842, Average Loss  0.545947, Time  0.258202
2021-09-10 00:46:31.560779 : Epoch  8, Batch    522, Loss  0.866221, Average Loss  0.869042, Time  0.385969
2021-09-10 00:46:33.283886 : Epoch  6, Batch    120, Loss  0.536542, Average Loss  0.545918, Time  0.264699
2021-09-10 00:46:33.331761 : Epoch  8, Batch    523, Loss  0.859277, Average Loss  0.869094, Time  0.360838
2021-09-10 00:46:35.189974 : Epoch  6, Batch    121, Loss  0.549150, Average Loss  0.545969, Time  0.261802
2021-09-10 00:46:37.103083 : Epoch  6, Batch    122, Loss  0.541334, Average Loss  0.545929, Time  0.262477
2021-09-10 00:46:39.007780 : Epoch  6, Batch    123, Loss  0.555286, Average Loss  0.545995, Time  0.261294
2021-09-10 00:46:40.890888 : Epoch  6, Batch    124, Loss  0.541027, Average Loss  0.545933, Time  0.260588
2021-09-10 00:46:42.762132 : Epoch  6, Batch    125, Loss  0.536304, Average Loss  0.545810, Time  0.263894
2021-09-10 00:46:44.644816 : Epoch  6, Batch    126, Loss  0.545397, Average Loss  0.545794, Time  0.259453
2021-09-10 00:46:46.546090 : Epoch  6, Batch    127, Loss  0.542298, Average Loss  0.545757, Time  0.258960
2021-09-10 00:46:48.493810 : Epoch  6, Batch    128, Loss  0.545651, Average Loss  0.545784, Time  0.265358
2021-09-10 00:46:50.447228 : Epoch  6, Batch    129, Loss  0.534664, Average Loss  0.545735, Time  0.269841
2021-09-10 00:46:52.388259 : Epoch  6, Batch    130, Loss  0.552453, Average Loss  0.545774, Time  0.260613
2021-09-10 00:46:54.316904 : Epoch  6, Batch    131, Loss  0.559749, Average Loss  0.545756, Time  0.273234
2021-09-10 00:46:56.211898 : Epoch  6, Batch    132, Loss  0.542438, Average Loss  0.545706, Time  0.260830
2021-09-10 00:46:58.104469 : Epoch  6, Batch    133, Loss  0.542625, Average Loss  0.545680, Time  0.260523
2021-09-10 00:47:00.003161 : Epoch  6, Batch    134, Loss  0.549472, Average Loss  0.545756, Time  0.259785
2021-09-10 00:47:01.912936 : Epoch  6, Batch    135, Loss  0.533781, Average Loss  0.545567, Time  0.262410
2021-09-10 00:47:03.782835 : Epoch  6, Batch    136, Loss  0.547897, Average Loss  0.545548, Time  0.258486
2021-09-10 00:47:07.754802 : Epoch  6, Batch    137, Loss  0.545616, Average Loss  0.545586, Time  0.281785
2021-09-10 00:47:09.687796 : Epoch  6, Batch    138, Loss  0.536593, Average Loss  0.545632, Time  0.259117
2021-09-10 00:47:11.630058 : Epoch  6, Batch    139, Loss  0.555902, Average Loss  0.545686, Time  0.258475
2021-09-10 00:47:13.552067 : Epoch  6, Batch    140, Loss  0.536827, Average Loss  0.545682, Time  0.257948
2021-09-10 00:47:15.470118 : Epoch  6, Batch    141, Loss  0.536290, Average Loss  0.545556, Time  0.258601
2021-09-10 00:47:17.381854 : Epoch  6, Batch    142, Loss  0.552397, Average Loss  0.545534, Time  0.258019
2021-09-10 00:47:19.299073 : Epoch  6, Batch    143, Loss  0.547529, Average Loss  0.545625, Time  0.260183
2021-09-10 00:47:21.241784 : Epoch  6, Batch    144, Loss  0.546430, Average Loss  0.545613, Time  0.258445
2021-09-10 00:47:23.160045 : Epoch  6, Batch    145, Loss  0.550196, Average Loss  0.545658, Time  0.257782
2021-09-10 00:47:25.107855 : Epoch  6, Batch    146, Loss  0.547131, Average Loss  0.545667, Time  0.257777
2021-09-10 00:47:27.049801 : Epoch  6, Batch    147, Loss  0.550109, Average Loss  0.545657, Time  0.258525
2021-09-10 00:47:28.971066 : Epoch  6, Batch    148, Loss  0.544353, Average Loss  0.545603, Time  0.257939
2021-09-10 00:47:30.940856 : Epoch  6, Batch    149, Loss  0.555734, Average Loss  0.545641, Time  0.258255
2021-09-10 00:47:32.843138 : Epoch  6, Batch    150, Loss  0.547799, Average Loss  0.545629, Time  0.257957
2021-09-10 00:47:34.765057 : Epoch  6, Batch    151, Loss  0.546924, Average Loss  0.545585, Time  0.257920
2021-09-10 00:47:36.694878 : Epoch  6, Batch    152, Loss  0.550645, Average Loss  0.545580, Time  0.257904
2021-09-10 00:47:38.609090 : Epoch  6, Batch    153, Loss  0.545694, Average Loss  0.545549, Time  0.258416
2021-09-10 00:47:40.522773 : Epoch  6, Batch    154, Loss  0.528505, Average Loss  0.545470, Time  0.257887
2021-09-10 00:47:42.452085 : Epoch  6, Batch    155, Loss  0.547165, Average Loss  0.545495, Time  0.258315
2021-09-10 00:47:44.385829 : Epoch  6, Batch    156, Loss  0.533197, Average Loss  0.545460, Time  0.261146
2021-09-10 00:47:46.309079 : Epoch  6, Batch    157, Loss  0.528905, Average Loss  0.545385, Time  0.258016
2021-09-10 00:47:48.272920 : Epoch  6, Batch    158, Loss  0.553241, Average Loss  0.545396, Time  0.257915
2021-09-10 00:47:50.182769 : Epoch  6, Batch    159, Loss  0.553672, Average Loss  0.545394, Time  0.260507
2021-09-10 00:47:52.093777 : Epoch  6, Batch    160, Loss  0.544591, Average Loss  0.545397, Time  0.258388
2021-09-10 00:47:54.020813 : Epoch  6, Batch    161, Loss  0.524785, Average Loss  0.545296, Time  0.257989
2021-09-10 00:47:55.939823 : Epoch  6, Batch    162, Loss  0.549856, Average Loss  0.545337, Time  0.258239
2021-09-10 00:47:57.863097 : Epoch  6, Batch    163, Loss  0.537561, Average Loss  0.545330, Time  0.259070
2021-09-10 00:47:59.780937 : Epoch  6, Batch    164, Loss  0.542016, Average Loss  0.545372, Time  0.258393
2021-09-10 00:48:01.708101 : Epoch  6, Batch    165, Loss  0.543618, Average Loss  0.545329, Time  0.257839
2021-09-10 00:49:11.525755 : CheckPoint: Validation Loss  0.00022481, Best Loss  0.00022396
2021-09-10 00:49:13.451888 : Epoch  6, Batch    166, Loss  0.537554, Average Loss  0.545278, Time  0.266547
2021-09-10 00:49:15.394820 : Epoch  6, Batch    167, Loss  0.539200, Average Loss  0.545227, Time  0.257906
2021-09-10 00:49:17.316890 : Epoch  6, Batch    168, Loss  0.534276, Average Loss  0.545112, Time  0.257998
2021-09-10 00:49:19.224044 : Epoch  6, Batch    169, Loss  0.549637, Average Loss  0.545159, Time  0.258303
2021-09-10 00:49:21.111884 : Epoch  6, Batch    170, Loss  0.551115, Average Loss  0.545096, Time  0.267281
2021-09-10 00:49:23.011961 : Epoch  6, Batch    171, Loss  0.544953, Average Loss  0.545072, Time  0.263747
2021-09-10 00:49:24.896082 : Epoch  6, Batch    172, Loss  0.552483, Average Loss  0.545118, Time  0.258359
2021-09-10 00:49:26.804843 : Epoch  6, Batch    173, Loss  0.543065, Average Loss  0.545075, Time  0.261066
2021-09-10 00:49:28.716878 : Epoch  6, Batch    174, Loss  0.546291, Average Loss  0.545068, Time  0.259191
2021-09-10 00:49:30.604941 : Epoch  6, Batch    175, Loss  0.543070, Average Loss  0.545115, Time  0.262080
2021-09-10 00:49:32.513071 : Epoch  6, Batch    176, Loss  0.542564, Average Loss  0.545106, Time  0.261097
2021-09-10 00:49:34.418768 : Epoch  6, Batch    177, Loss  0.546200, Average Loss  0.545046, Time  0.258521
2021-09-10 00:49:36.287081 : Epoch  6, Batch    178, Loss  0.539702, Average Loss  0.545016, Time  0.257926
2021-09-10 00:49:38.168077 : Epoch  6, Batch    179, Loss  0.555652, Average Loss  0.545135, Time  0.261030
2021-09-10 00:49:40.056861 : Epoch  6, Batch    180, Loss  0.535350, Average Loss  0.545045, Time  0.258512
2021-09-10 00:49:41.974906 : Epoch  6, Batch    181, Loss  0.524798, Average Loss  0.544950, Time  0.270086
2021-09-10 00:49:43.880065 : Epoch  6, Batch    182, Loss  0.550506, Average Loss  0.545016, Time  0.264228
2021-09-10 00:49:45.767770 : Epoch  6, Batch    183, Loss  0.546464, Average Loss  0.544998, Time  0.258334
2021-09-10 00:49:47.682867 : Epoch  6, Batch    184, Loss  0.545000, Average Loss  0.544994, Time  0.261950
2021-09-10 00:49:49.569879 : Epoch  6, Batch    185, Loss  0.541614, Average Loss  0.544916, Time  0.258503
2021-09-10 00:49:51.486057 : Epoch  6, Batch    186, Loss  0.541533, Average Loss  0.544913, Time  0.257709
2021-09-10 00:49:53.410072 : Epoch  6, Batch    187, Loss  0.531985, Average Loss  0.544871, Time  0.258062
2021-09-10 00:49:55.321289 : Epoch  6, Batch    188, Loss  0.553436, Average Loss  0.544925, Time  0.259837
2021-09-10 00:49:57.239820 : Epoch  6, Batch    189, Loss  0.543428, Average Loss  0.544859, Time  0.257721
2021-09-10 00:49:59.121795 : Epoch  6, Batch    190, Loss  0.540840, Average Loss  0.544894, Time  0.258356
2021-09-10 00:50:01.023074 : Epoch  6, Batch    191, Loss  0.544684, Average Loss  0.544923, Time  0.257999
2021-09-10 00:50:02.895274 : Epoch  6, Batch    192, Loss  0.533637, Average Loss  0.544924, Time  0.264558
2021-09-10 00:50:04.770803 : Epoch  6, Batch    193, Loss  0.550623, Average Loss  0.544936, Time  0.258336
2021-09-10 00:50:06.662121 : Epoch  6, Batch    194, Loss  0.536477, Average Loss  0.544989, Time  0.259086
2021-09-10 00:50:08.603094 : Epoch  6, Batch    195, Loss  0.548119, Average Loss  0.545001, Time  0.258705
2021-09-10 00:50:10.519851 : Epoch  6, Batch    196, Loss  0.538331, Average Loss  0.544919, Time  0.258589
2021-09-10 00:50:12.500087 : Epoch  6, Batch    197, Loss  0.540534, Average Loss  0.544943, Time  0.263169
2021-09-10 00:50:14.399813 : Epoch  6, Batch    198, Loss  0.552552, Average Loss  0.545019, Time  0.258904
2021-09-10 00:50:16.295889 : Epoch  6, Batch    199, Loss  0.543689, Average Loss  0.544960, Time  0.262429
2021-09-10 00:50:18.182841 : Epoch  6, Batch    200, Loss  0.544246, Average Loss  0.544931, Time  0.260849
2021-09-10 00:50:20.082235 : Epoch  6, Batch    201, Loss  0.547338, Average Loss  0.544859, Time  0.257782
2021-09-10 00:50:21.982797 : Epoch  6, Batch    202, Loss  0.542193, Average Loss  0.544884, Time  0.258548
2021-09-10 00:50:23.865557 : Epoch  6, Batch    203, Loss  0.548703, Average Loss  0.544934, Time  0.261751
2021-09-10 00:50:25.741061 : Epoch  6, Batch    204, Loss  0.546414, Average Loss  0.544926, Time  0.259830
2021-09-10 00:50:27.658049 : Epoch  6, Batch    205, Loss  0.531515, Average Loss  0.544853, Time  0.257887
2021-09-10 00:50:29.573926 : Epoch  6, Batch    206, Loss  0.557406, Average Loss  0.544923, Time  0.258104
2021-09-10 00:50:31.480934 : Epoch  6, Batch    207, Loss  0.544062, Average Loss  0.544852, Time  0.258075
2021-09-10 00:50:33.381771 : Epoch  6, Batch    208, Loss  0.547904, Average Loss  0.544810, Time  0.258176
2021-09-10 00:50:35.285040 : Epoch  6, Batch    209, Loss  0.545988, Average Loss  0.544871, Time  0.257817
2021-09-10 00:50:37.186893 : Epoch  6, Batch    210, Loss  0.545429, Average Loss  0.544803, Time  0.258100
2021-09-10 00:50:39.112068 : Epoch  6, Batch    211, Loss  0.549620, Average Loss  0.544828, Time  0.258119
2021-09-10 00:50:41.022047 : Epoch  6, Batch    212, Loss  0.547664, Average Loss  0.544868, Time  0.257677
2021-09-10 00:50:42.942931 : Epoch  6, Batch    213, Loss  0.542494, Average Loss  0.544860, Time  0.258191
2021-09-10 00:50:44.855928 : Epoch  6, Batch    214, Loss  0.549066, Average Loss  0.544896, Time  0.257737
2021-09-10 00:50:46.768050 : Epoch  6, Batch    215, Loss  0.538255, Average Loss  0.544931, Time  0.257989
2021-09-10 00:50:48.695763 : Epoch  6, Batch    216, Loss  0.531864, Average Loss  0.544842, Time  0.258521
2021-09-10 00:50:50.614778 : Epoch  6, Batch    217, Loss  0.547117, Average Loss  0.544847, Time  0.258622
2021-09-10 00:50:52.547082 : Epoch  6, Batch    218, Loss  0.543724, Average Loss  0.544795, Time  0.260055
2021-09-10 00:50:54.429869 : Epoch  6, Batch    219, Loss  0.563682, Average Loss  0.544911, Time  0.262594
2021-09-10 00:50:56.315020 : Epoch  6, Batch    220, Loss  0.542517, Average Loss  0.544912, Time  0.262367
2021-09-10 00:50:58.224204 : Epoch  6, Batch    221, Loss  0.555786, Average Loss  0.544970, Time  0.259300
2021-09-10 00:51:00.138151 : Epoch  6, Batch    222, Loss  0.550948, Average Loss  0.545019, Time  0.259591
2021-09-10 00:51:02.062125 : Epoch  6, Batch    223, Loss  0.542403, Average Loss  0.544976, Time  0.270038
2021-09-10 00:51:03.992919 : Epoch  6, Batch    224, Loss  0.540895, Average Loss  0.544911, Time  0.268474
2021-09-10 00:51:05.919157 : Epoch  6, Batch    225, Loss  0.563291, Average Loss  0.544979, Time  0.267232
2021-09-10 00:51:07.829073 : Epoch  6, Batch    226, Loss  0.548953, Average Loss  0.544942, Time  0.257910
2021-09-10 00:51:09.732159 : Epoch  6, Batch    227, Loss  0.536551, Average Loss  0.544875, Time  0.258276
2021-09-10 00:51:11.610828 : Epoch  6, Batch    228, Loss  0.540593, Average Loss  0.544901, Time  0.258967
2021-09-10 00:51:13.530136 : Epoch  6, Batch    229, Loss  0.536884, Average Loss  0.544899, Time  0.258790
2021-09-10 00:51:15.421947 : Epoch  6, Batch    230, Loss  0.541572, Average Loss  0.544882, Time  0.258251
2021-09-10 00:51:17.295535 : Epoch  6, Batch    231, Loss  0.538909, Average Loss  0.544818, Time  0.263433
2021-09-10 00:51:19.175805 : Epoch  6, Batch    232, Loss  0.553258, Average Loss  0.544880, Time  0.261961
2021-09-10 00:51:21.067901 : Epoch  6, Batch    233, Loss  0.550605, Average Loss  0.544845, Time  0.258299
2021-09-10 00:51:22.938808 : Epoch  6, Batch    234, Loss  0.545633, Average Loss  0.544841, Time  0.259557
2021-09-10 00:51:24.157709 : CheckPoint: Validation Loss  0.00061021, Best Loss  0.00056427
2021-09-10 00:51:24.813087 : Epoch  6, Batch    235, Loss  0.537578, Average Loss  0.544749, Time  0.258075
2021-09-10 00:51:26.020027 : Epoch  8, Batch    524, Loss  0.845885, Average Loss  0.869044, Time  0.415385
2021-09-10 00:51:27.925786 : Epoch  8, Batch    525, Loss  0.871033, Average Loss  0.869196, Time  0.451804
2021-09-10 00:51:28.776089 : Epoch  6, Batch    236, Loss  0.550327, Average Loss  0.544788, Time  0.271844
2021-09-10 00:51:29.709850 : Epoch  8, Batch    526, Loss  0.856796, Average Loss  0.869106, Time  0.349444
2021-09-10 00:51:30.681752 : Epoch  6, Batch    237, Loss  0.553083, Average Loss  0.544779, Time  0.258648
2021-09-10 00:51:31.487780 : Epoch  8, Batch    527, Loss  0.876973, Average Loss  0.869094, Time  0.362771
2021-09-10 00:51:32.577764 : Epoch  6, Batch    238, Loss  0.554875, Average Loss  0.544853, Time  0.257746
2021-09-10 00:51:33.281785 : Epoch  8, Batch    528, Loss  0.865272, Average Loss  0.869075, Time  0.377989
2021-09-10 00:51:34.468802 : Epoch  6, Batch    239, Loss  0.557905, Average Loss  0.544855, Time  0.257873
2021-09-10 00:51:35.144145 : Epoch  8, Batch    529, Loss  0.887129, Average Loss  0.869130, Time  0.456953
2021-09-10 00:51:36.380843 : Epoch  6, Batch    240, Loss  0.536921, Average Loss  0.544806, Time  0.257977
2021-09-10 00:51:36.907786 : Epoch  8, Batch    530, Loss  0.876691, Average Loss  0.869156, Time  0.355633
2021-09-10 00:51:38.274869 : Epoch  6, Batch    241, Loss  0.560706, Average Loss  0.544891, Time  0.258029
2021-09-10 00:51:38.669140 : Epoch  8, Batch    531, Loss  0.855624, Average Loss  0.868972, Time  0.357158
2021-09-10 00:51:40.174785 : Epoch  6, Batch    242, Loss  0.558481, Average Loss  0.544957, Time  0.258349
2021-09-10 00:51:40.476772 : Epoch  8, Batch    532, Loss  0.863605, Average Loss  0.868819, Time  0.406107
2021-09-10 00:51:42.060115 : Epoch  6, Batch    243, Loss  0.552034, Average Loss  0.544969, Time  0.257890
2021-09-10 00:51:42.344144 : Epoch  8, Batch    533, Loss  0.885875, Average Loss  0.869025, Time  0.459605
2021-09-10 00:51:43.965894 : Epoch  6, Batch    244, Loss  0.537283, Average Loss  0.544918, Time  0.260262
2021-09-10 00:51:44.161784 : Epoch  8, Batch    534, Loss  0.895346, Average Loss  0.869201, Time  0.371139
2021-09-10 00:51:45.854050 : Epoch  6, Batch    245, Loss  0.537062, Average Loss  0.544831, Time  0.261520
2021-09-10 00:51:45.952184 : Epoch  8, Batch    535, Loss  0.870045, Average Loss  0.869142, Time  0.359743
2021-09-10 00:51:47.759777 : Epoch  8, Batch    536, Loss  0.840390, Average Loss  0.869243, Time  0.382517
2021-09-10 00:51:47.860853 : Epoch  6, Batch    246, Loss  0.545873, Average Loss  0.544828, Time  0.258643
2021-09-10 00:51:49.639783 : Epoch  8, Batch    537, Loss  0.871432, Average Loss  0.869162, Time  0.467402
2021-09-10 00:51:49.752794 : Epoch  6, Batch    247, Loss  0.557312, Average Loss  0.544947, Time  0.259810
2021-09-10 00:51:51.451771 : Epoch  8, Batch    538, Loss  0.859663, Average Loss  0.869198, Time  0.362269
2021-09-10 00:51:51.657882 : Epoch  6, Batch    248, Loss  0.551417, Average Loss  0.544969, Time  0.268724
2021-09-10 00:51:53.243785 : Epoch  8, Batch    539, Loss  0.886834, Average Loss  0.869343, Time  0.366206
2021-09-10 00:51:53.528881 : Epoch  6, Batch    249, Loss  0.553677, Average Loss  0.545001, Time  0.260495
2021-09-10 00:51:55.069768 : Epoch  8, Batch    540, Loss  0.906043, Average Loss  0.869406, Time  0.365665
2021-09-10 00:51:55.414776 : Epoch  6, Batch    250, Loss  0.545949, Average Loss  0.545005, Time  0.265207
2021-09-10 00:51:56.965788 : Epoch  8, Batch    541, Loss  0.840631, Average Loss  0.869219, Time  0.464065
2021-09-10 00:51:57.311079 : Epoch  6, Batch    251, Loss  0.550676, Average Loss  0.545076, Time  0.263916
2021-09-10 00:51:58.890784 : Epoch  8, Batch    542, Loss  0.861312, Average Loss  0.869076, Time  0.464452
2021-09-10 00:51:59.203682 : Epoch  6, Batch    252, Loss  0.550894, Average Loss  0.545139, Time  0.258374
2021-09-10 00:52:00.691323 : Epoch  8, Batch    543, Loss  0.853896, Average Loss  0.869002, Time  0.368074
2021-09-10 00:52:01.080444 : Epoch  6, Batch    253, Loss  0.539670, Average Loss  0.545138, Time  0.259625
2021-09-10 00:52:02.462784 : Epoch  8, Batch    544, Loss  0.889139, Average Loss  0.869094, Time  0.357642
2021-09-10 00:52:02.992071 : Epoch  6, Batch    254, Loss  0.543321, Average Loss  0.545170, Time  0.257997
2021-09-10 00:52:04.296784 : Epoch  8, Batch    545, Loss  0.864664, Average Loss  0.869057, Time  0.400368
2021-09-10 00:52:04.902090 : Epoch  6, Batch    255, Loss  0.555575, Average Loss  0.545138, Time  0.269700
2021-09-10 00:52:06.198787 : Epoch  8, Batch    546, Loss  0.892574, Average Loss  0.869041, Time  0.455986
2021-09-10 00:52:06.794147 : Epoch  6, Batch    256, Loss  0.539571, Average Loss  0.545068, Time  0.260646
2021-09-10 00:52:07.987823 : Epoch  8, Batch    547, Loss  0.884468, Average Loss  0.869006, Time  0.367778
2021-09-10 00:52:08.693125 : Epoch  6, Batch    257, Loss  0.547975, Average Loss  0.545044, Time  0.258473
2021-09-10 00:52:09.755766 : Epoch  8, Batch    548, Loss  0.879647, Average Loss  0.869112, Time  0.359052
2021-09-10 00:52:10.618908 : Epoch  6, Batch    258, Loss  0.539472, Average Loss  0.545072, Time  0.269243
2021-09-10 00:52:11.574088 : Epoch  8, Batch    549, Loss  0.866515, Average Loss  0.869046, Time  0.401015
2021-09-10 00:52:12.492799 : Epoch  6, Batch    259, Loss  0.536974, Average Loss  0.544996, Time  0.269383
2021-09-10 00:52:13.454209 : Epoch  8, Batch    550, Loss  0.889103, Average Loss  0.869266, Time  0.465951
2021-09-10 00:52:14.413978 : Epoch  6, Batch    260, Loss  0.541363, Average Loss  0.544966, Time  0.258035
2021-09-10 00:52:15.238785 : Epoch  8, Batch    551, Loss  0.849857, Average Loss  0.869111, Time  0.354082
2021-09-10 00:52:16.300088 : Epoch  6, Batch    261, Loss  0.547345, Average Loss  0.544900, Time  0.263535
2021-09-10 00:52:17.022776 : Epoch  8, Batch    552, Loss  0.848627, Average Loss  0.868953, Time  0.363383
2021-09-10 00:52:18.177914 : Epoch  6, Batch    262, Loss  0.546183, Average Loss  0.544888, Time  0.261909
2021-09-10 00:52:18.797773 : Epoch  8, Batch    553, Loss  0.834796, Average Loss  0.868730, Time  0.365301
2021-09-10 00:52:20.090078 : Epoch  6, Batch    263, Loss  0.545045, Average Loss  0.544861, Time  0.262060
2021-09-10 00:52:20.696153 : Epoch  8, Batch    554, Loss  0.877193, Average Loss  0.868731, Time  0.455311
2021-09-10 00:52:22.003093 : Epoch  6, Batch    264, Loss  0.542962, Average Loss  0.544778, Time  0.263188
2021-09-10 00:52:22.609826 : Epoch  8, Batch    555, Loss  0.848388, Average Loss  0.868681, Time  0.447382
2021-09-10 00:52:23.910951 : Epoch  6, Batch    265, Loss  0.544398, Average Loss  0.544733, Time  0.258610
2021-09-10 00:52:24.424892 : Epoch  8, Batch    556, Loss  0.867241, Average Loss  0.868654, Time  0.361207
2021-09-10 00:52:26.212769 : Epoch  8, Batch    557, Loss  0.872663, Average Loss  0.868544, Time  0.359757
2021-09-10 00:52:28.034782 : Epoch  8, Batch    558, Loss  0.875943, Average Loss  0.868620, Time  0.418272
2021-09-10 00:52:29.919787 : Epoch  8, Batch    559, Loss  0.853836, Average Loss  0.868769, Time  0.449765
2021-09-10 00:52:31.711883 : Epoch  8, Batch    560, Loss  0.879156, Average Loss  0.868821, Time  0.376583
2021-09-10 00:52:33.482830 : Epoch  8, Batch    561, Loss  0.913582, Average Loss  0.869073, Time  0.359352
2021-09-10 00:52:35.294950 : Epoch  8, Batch    562, Loss  0.875319, Average Loss  0.868966, Time  0.391043
2021-09-10 00:52:37.152789 : Epoch  8, Batch    563, Loss  0.872137, Average Loss  0.869038, Time  0.452367
2021-09-10 00:52:38.945123 : Epoch  8, Batch    564, Loss  0.892520, Average Loss  0.869032, Time  0.355942
2021-09-10 00:52:40.717783 : Epoch  8, Batch    565, Loss  0.906037, Average Loss  0.869125, Time  0.363763
2021-09-10 00:52:42.529224 : Epoch  8, Batch    566, Loss  0.857066, Average Loss  0.869127, Time  0.401416
2021-09-10 00:52:44.423136 : Epoch  8, Batch    567, Loss  0.872975, Average Loss  0.868994, Time  0.458651
2021-09-10 00:52:46.201795 : Epoch  8, Batch    568, Loss  0.876827, Average Loss  0.869105, Time  0.357048
2021-09-10 00:52:47.976790 : Epoch  8, Batch    569, Loss  0.854590, Average Loss  0.869020, Time  0.362634
2021-09-10 00:52:49.758131 : Epoch  8, Batch    570, Loss  0.875015, Average Loss  0.868985, Time  0.381256
2021-09-10 00:52:51.637773 : Epoch  8, Batch    571, Loss  0.874028, Average Loss  0.868957, Time  0.452818
2021-09-10 00:52:53.417370 : Epoch  8, Batch    572, Loss  0.888137, Average Loss  0.869004, Time  0.341925
2021-09-10 00:52:55.199778 : Epoch  8, Batch    573, Loss  0.857661, Average Loss  0.869047, Time  0.366956
2021-09-10 00:52:56.998809 : Epoch  8, Batch    574, Loss  0.859157, Average Loss  0.869051, Time  0.359469
2021-09-10 00:52:58.892829 : Epoch  8, Batch    575, Loss  0.879621, Average Loss  0.868886, Time  0.452031
2021-09-10 00:53:00.674254 : Epoch  8, Batch    576, Loss  0.889104, Average Loss  0.869002, Time  0.356540
2021-09-10 00:53:02.461780 : Epoch  8, Batch    577, Loss  0.894148, Average Loss  0.868916, Time  0.362805
2021-09-10 00:53:04.241782 : Epoch  8, Batch    578, Loss  0.866384, Average Loss  0.869029, Time  0.359856
2021-09-10 00:53:06.168847 : Epoch  8, Batch    579, Loss  0.876180, Average Loss  0.869055, Time  0.478166
2021-09-10 00:53:08.074892 : Epoch  8, Batch    580, Loss  0.906511, Average Loss  0.869197, Time  0.451361
2021-09-10 00:53:09.880777 : Epoch  8, Batch    581, Loss  0.881485, Average Loss  0.869226, Time  0.367584
2021-09-10 00:53:11.666801 : Epoch  8, Batch    582, Loss  0.870173, Average Loss  0.869323, Time  0.356541
2021-09-10 00:53:13.527780 : Epoch  8, Batch    583, Loss  0.862913, Average Loss  0.869201, Time  0.397495
2021-09-10 00:53:15.476163 : Epoch  8, Batch    584, Loss  0.846409, Average Loss  0.869061, Time  0.451597
2021-09-10 00:53:17.326793 : Epoch  8, Batch    585, Loss  0.874529, Average Loss  0.869101, Time  0.412757
2021-09-10 00:53:19.095532 : Epoch  8, Batch    586, Loss  0.879859, Average Loss  0.869290, Time  0.358104
2021-09-10 00:53:20.891780 : Epoch  8, Batch    587, Loss  0.885106, Average Loss  0.869195, Time  0.357039
2021-09-10 00:53:22.763780 : Epoch  8, Batch    588, Loss  0.885431, Average Loss  0.869282, Time  0.434014
2021-09-10 00:53:24.653772 : Epoch  8, Batch    589, Loss  0.875653, Average Loss  0.869193, Time  0.458738
2021-09-10 00:53:26.440781 : Epoch  8, Batch    590, Loss  0.844335, Average Loss  0.868863, Time  0.366873
2021-09-10 00:53:28.219778 : Epoch  8, Batch    591, Loss  0.855085, Average Loss  0.868800, Time  0.357795
2021-09-10 00:53:30.067124 : Epoch  8, Batch    592, Loss  0.873855, Average Loss  0.868897, Time  0.390547
2021-09-10 00:53:31.974784 : Epoch  8, Batch    593, Loss  0.844762, Average Loss  0.868647, Time  0.451189
2021-09-10 00:53:33.514760 : CheckPoint: Validation Loss  0.00023117, Best Loss  0.00022396
2021-09-10 00:53:33.843982 : Epoch  8, Batch    594, Loss  0.845770, Average Loss  0.868496, Time  0.425131
2021-09-10 00:53:35.409857 : Epoch  6, Batch    266, Loss  0.524665, Average Loss  0.544600, Time  0.263760
2021-09-10 00:53:35.616159 : Epoch  8, Batch    595, Loss  0.848057, Average Loss  0.868125, Time  0.359573
2021-09-10 00:53:37.324869 : Epoch  6, Batch    267, Loss  0.542069, Average Loss  0.544562, Time  0.258158
2021-09-10 00:53:37.391783 : Epoch  8, Batch    596, Loss  0.862982, Average Loss  0.868010, Time  0.358973
2021-09-10 00:53:39.227846 : Epoch  6, Batch    268, Loss  0.532950, Average Loss  0.544621, Time  0.258221
2021-09-10 00:53:39.283783 : Epoch  8, Batch    597, Loss  0.834271, Average Loss  0.868099, Time  0.427872
2021-09-10 00:53:41.131044 : Epoch  6, Batch    269, Loss  0.542619, Average Loss  0.544556, Time  0.257463
2021-09-10 00:53:41.209246 : Epoch  8, Batch    598, Loss  0.883288, Average Loss  0.868149, Time  0.456987
2021-09-10 00:53:42.987079 : Epoch  8, Batch    599, Loss  0.885980, Average Loss  0.868098, Time  0.349475
2021-09-10 00:53:43.024854 : Epoch  6, Batch    270, Loss  0.537901, Average Loss  0.544547, Time  0.257654
2021-09-10 00:53:44.789826 : Epoch  8, Batch    600, Loss  0.842247, Average Loss  0.867842, Time  0.363692
2021-09-10 00:53:44.924051 : Epoch  6, Batch    271, Loss  0.562317, Average Loss  0.544526, Time  0.257595
2021-09-10 00:53:46.589246 : Epoch  8, Batch    601, Loss  0.852293, Average Loss  0.868012, Time  0.360493
2021-09-10 00:53:46.837839 : Epoch  6, Batch    272, Loss  0.533861, Average Loss  0.544436, Time  0.257819
2021-09-10 00:53:48.462069 : Epoch  8, Batch    602, Loss  0.846601, Average Loss  0.867821, Time  0.452098
2021-09-10 00:53:48.759038 : Epoch  6, Batch    273, Loss  0.553831, Average Loss  0.544478, Time  0.257903
2021-09-10 00:53:50.255782 : Epoch  8, Batch    603, Loss  0.863774, Average Loss  0.867743, Time  0.355589
2021-09-10 00:53:50.661051 : Epoch  6, Batch    274, Loss  0.550575, Average Loss  0.544503, Time  0.257968
2021-09-10 00:53:52.055776 : Epoch  8, Batch    604, Loss  0.861454, Average Loss  0.867679, Time  0.365191
2021-09-10 00:53:52.554791 : Epoch  6, Batch    275, Loss  0.531675, Average Loss  0.544493, Time  0.258118
2021-09-10 00:53:53.839286 : Epoch  8, Batch    605, Loss  0.884594, Average Loss  0.867806, Time  0.355021
2021-09-10 00:53:54.458842 : Epoch  6, Batch    276, Loss  0.548996, Average Loss  0.544529, Time  0.258343
2021-09-10 00:53:55.731778 : Epoch  8, Batch    606, Loss  0.875637, Average Loss  0.867851, Time  0.455116
2021-09-10 00:53:56.395787 : Epoch  6, Batch    277, Loss  0.544186, Average Loss  0.544527, Time  0.258104
2021-09-10 00:53:57.505723 : Epoch  8, Batch    607, Loss  0.878861, Average Loss  0.867831, Time  0.336783
2021-09-10 00:53:58.286793 : Epoch  6, Batch    278, Loss  0.536584, Average Loss  0.544447, Time  0.258236
2021-09-10 00:53:59.279786 : Epoch  8, Batch    608, Loss  0.898268, Average Loss  0.867744, Time  0.367909
2021-09-10 00:54:00.199069 : Epoch  6, Batch    279, Loss  0.553237, Average Loss  0.545475, Time  0.257745
2021-09-10 00:54:01.082787 : Epoch  8, Batch    609, Loss  0.838446, Average Loss  0.867761, Time  0.360653
2021-09-10 00:54:02.098928 : Epoch  6, Batch    280, Loss  0.548918, Average Loss  0.545422, Time  0.258219
2021-09-10 00:54:02.967781 : Epoch  8, Batch    610, Loss  0.871159, Average Loss  0.867767, Time  0.453409
2021-09-10 00:54:03.996861 : Epoch  6, Batch    281, Loss  0.550950, Average Loss  0.545383, Time  0.258135
2021-09-10 00:54:04.743780 : Epoch  8, Batch    611, Loss  0.860589, Average Loss  0.867735, Time  0.364684
2021-09-10 00:54:05.886340 : Epoch  6, Batch    282, Loss  0.537322, Average Loss  0.545331, Time  0.259316
2021-09-10 00:54:06.513119 : Epoch  8, Batch    612, Loss  0.891197, Average Loss  0.867914, Time  0.359893
2021-09-10 00:54:07.794870 : Epoch  6, Batch    283, Loss  0.549172, Average Loss  0.545308, Time  0.258089
2021-09-10 00:54:08.335118 : Epoch  8, Batch    613, Loss  0.868511, Average Loss  0.868075, Time  0.381754
2021-09-10 00:54:09.700043 : Epoch  6, Batch    284, Loss  0.554048, Average Loss  0.545334, Time  0.257948
2021-09-10 00:54:10.213865 : Epoch  8, Batch    614, Loss  0.885722, Average Loss  0.868053, Time  0.462012
2021-09-10 00:54:11.607082 : Epoch  6, Batch    285, Loss  0.533078, Average Loss  0.545232, Time  0.264141
2021-09-10 00:54:12.027775 : Epoch  8, Batch    615, Loss  0.870551, Average Loss  0.867846, Time  0.371197
2021-09-10 00:54:13.492761 : Epoch  6, Batch    286, Loss  0.539820, Average Loss  0.545170, Time  0.258442
2021-09-10 00:54:13.814826 : Epoch  8, Batch    616, Loss  0.865881, Average Loss  0.867792, Time  0.366876
2021-09-10 00:54:15.385140 : Epoch  6, Batch    287, Loss  0.544404, Average Loss  0.545097, Time  0.264355
2021-09-10 00:54:15.608773 : Epoch  8, Batch    617, Loss  0.875518, Average Loss  0.867857, Time  0.361319
2021-09-10 00:54:17.276068 : Epoch  6, Batch    288, Loss  0.532334, Average Loss  0.545011, Time  0.266475
2021-09-10 00:54:17.481163 : Epoch  8, Batch    618, Loss  0.875599, Average Loss  0.867861, Time  0.453117
2021-09-10 00:54:19.144415 : Epoch  6, Batch    289, Loss  0.534295, Average Loss  0.544803, Time  0.261350
2021-09-10 00:54:19.368781 : Epoch  8, Batch    619, Loss  0.854385, Average Loss  0.867891, Time  0.451615
2021-09-10 00:54:21.088914 : Epoch  6, Batch    290, Loss  0.540067, Average Loss  0.544738, Time  0.257907
2021-09-10 00:54:21.146298 : Epoch  8, Batch    620, Loss  0.878723, Average Loss  0.867813, Time  0.362730
2021-09-10 00:54:22.935639 : Epoch  8, Batch    621, Loss  0.874477, Average Loss  0.868043, Time  0.358535
2021-09-10 00:54:22.964876 : Epoch  6, Batch    291, Loss  0.542083, Average Loss  0.544786, Time  0.258950
2021-09-10 00:54:24.741800 : Epoch  8, Batch    622, Loss  0.875607, Average Loss  0.868280, Time  0.399895
2021-09-10 00:54:24.869860 : Epoch  6, Batch    292, Loss  0.559445, Average Loss  0.544816, Time  0.257788
2021-09-10 00:54:26.604824 : Epoch  8, Batch    623, Loss  0.875718, Average Loss  0.868410, Time  0.463509
2021-09-10 00:54:26.762915 : Epoch  6, Batch    293, Loss  0.542115, Average Loss  0.544753, Time  0.259418
2021-09-10 00:54:28.708523 : Epoch  6, Batch    294, Loss  0.530937, Average Loss  0.544674, Time  0.261291
2021-09-10 00:54:30.639568 : Epoch  6, Batch    295, Loss  0.545812, Average Loss  0.544651, Time  0.260693
2021-09-10 00:54:32.575779 : Epoch  6, Batch    296, Loss  0.543405, Average Loss  0.544629, Time  0.257807
2021-09-10 00:54:34.494074 : Epoch  6, Batch    297, Loss  0.534436, Average Loss  0.544602, Time  0.257905
2021-09-10 00:54:36.405892 : Epoch  6, Batch    298, Loss  0.548538, Average Loss  0.544677, Time  0.257917
2021-09-10 00:54:38.306329 : Epoch  6, Batch    299, Loss  0.528066, Average Loss  0.544610, Time  0.258311
2021-09-10 00:54:40.215922 : Epoch  6, Batch    300, Loss  0.542711, Average Loss  0.544660, Time  0.257848
2021-09-10 00:54:42.131058 : Epoch  6, Batch    301, Loss  0.554618, Average Loss  0.544754, Time  0.258188
2021-09-10 00:54:44.034864 : Epoch  6, Batch    302, Loss  0.538923, Average Loss  0.544796, Time  0.258001
2021-09-10 00:54:45.949067 : Epoch  6, Batch    303, Loss  0.545116, Average Loss  0.544759, Time  0.257992
2021-09-10 00:54:47.868786 : Epoch  6, Batch    304, Loss  0.553797, Average Loss  0.544852, Time  0.258033
2021-09-10 00:54:49.784947 : Epoch  6, Batch    305, Loss  0.550009, Average Loss  0.544919, Time  0.258726
2021-09-10 00:54:51.692069 : Epoch  6, Batch    306, Loss  0.562808, Average Loss  0.545048, Time  0.258110
2021-09-10 00:54:53.597984 : Epoch  6, Batch    307, Loss  0.545779, Average Loss  0.545040, Time  0.258640
2021-09-10 00:54:55.502884 : Epoch  6, Batch    308, Loss  0.533363, Average Loss  0.544927, Time  0.258289
2021-09-10 00:54:57.416885 : Epoch  6, Batch    309, Loss  0.538318, Average Loss  0.544853, Time  0.258028
2021-09-10 00:54:59.337802 : Epoch  6, Batch    310, Loss  0.540724, Average Loss  0.544782, Time  0.260391
2021-09-10 00:55:01.258825 : Epoch  6, Batch    311, Loss  0.549686, Average Loss  0.544749, Time  0.258378
2021-09-10 00:55:03.184778 : Epoch  6, Batch    312, Loss  0.531784, Average Loss  0.544654, Time  0.257880
2021-09-10 00:55:05.092877 : Epoch  6, Batch    313, Loss  0.545555, Average Loss  0.544659, Time  0.258363
2021-09-10 00:55:07.006805 : Epoch  6, Batch    314, Loss  0.556039, Average Loss  0.544726, Time  0.258573
2021-09-10 00:55:08.924912 : Epoch  6, Batch    315, Loss  0.539219, Average Loss  0.544679, Time  0.258216
2021-09-10 00:55:10.833923 : Epoch  6, Batch    316, Loss  0.541454, Average Loss  0.544583, Time  0.257689
2021-09-10 00:55:12.742802 : Epoch  6, Batch    317, Loss  0.538980, Average Loss  0.544536, Time  0.258453
2021-09-10 00:55:14.683046 : Epoch  6, Batch    318, Loss  0.556546, Average Loss  0.544575, Time  0.258084
2021-09-10 00:55:16.638930 : Epoch  6, Batch    319, Loss  0.540538, Average Loss  0.544574, Time  0.258273
2021-09-10 00:55:18.506775 : Epoch  6, Batch    320, Loss  0.553041, Average Loss  0.544656, Time  0.259343
2021-09-10 00:55:20.409918 : Epoch  6, Batch    321, Loss  0.548679, Average Loss  0.544654, Time  0.269920
2021-09-10 00:55:22.291918 : Epoch  6, Batch    322, Loss  0.541612, Average Loss  0.544655, Time  0.260043
2021-09-10 00:55:24.173081 : Epoch  6, Batch    323, Loss  0.549818, Average Loss  0.544628, Time  0.258640
2021-09-10 00:55:26.055817 : Epoch  6, Batch    324, Loss  0.541840, Average Loss  0.544632, Time  0.258497
2021-09-10 00:55:27.951077 : Epoch  6, Batch    325, Loss  0.553685, Average Loss  0.544719, Time  0.258427
2021-09-10 00:55:29.872085 : Epoch  6, Batch    326, Loss  0.532404, Average Loss  0.544654, Time  0.257845
2021-09-10 00:55:31.785872 : Epoch  6, Batch    327, Loss  0.527229, Average Loss  0.544579, Time  0.262333
2021-09-10 00:55:33.670079 : Epoch  6, Batch    328, Loss  0.554191, Average Loss  0.544621, Time  0.259080
2021-09-10 00:55:35.536318 : Epoch  6, Batch    329, Loss  0.541850, Average Loss  0.544657, Time  0.257982
2021-09-10 00:55:37.453093 : Epoch  6, Batch    330, Loss  0.553215, Average Loss  0.544661, Time  0.260820
2021-09-10 00:55:39.347888 : Epoch  6, Batch    331, Loss  0.546147, Average Loss  0.544593, Time  0.272242
2021-09-10 00:55:41.215837 : Epoch  6, Batch    332, Loss  0.523199, Average Loss  0.544497, Time  0.262478
2021-09-10 00:55:43.090853 : Epoch  6, Batch    333, Loss  0.544124, Average Loss  0.544504, Time  0.260616
2021-09-10 00:55:44.998160 : Epoch  6, Batch    334, Loss  0.551806, Average Loss  0.544516, Time  0.262153
2021-09-10 00:55:46.871797 : Epoch  6, Batch    335, Loss  0.551935, Average Loss  0.544607, Time  0.258713
2021-09-10 00:55:50.897026 : Epoch  6, Batch    336, Loss  0.553082, Average Loss  0.544633, Time  0.287844
2021-09-10 00:55:52.783889 : Epoch  6, Batch    337, Loss  0.567521, Average Loss  0.544742, Time  0.268024
2021-09-10 00:55:54.713957 : Epoch  6, Batch    338, Loss  0.531864, Average Loss  0.544719, Time  0.273286
2021-09-10 00:55:56.609276 : Epoch  6, Batch    339, Loss  0.541741, Average Loss  0.544648, Time  0.258329
2021-09-10 00:55:58.518783 : Epoch  6, Batch    340, Loss  0.536012, Average Loss  0.544644, Time  0.264473
2021-09-10 00:56:00.451091 : Epoch  6, Batch    341, Loss  0.543738, Average Loss  0.544681, Time  0.266033
2021-09-10 00:56:02.352920 : Epoch  6, Batch    342, Loss  0.542614, Average Loss  0.544632, Time  0.261583
2021-09-10 00:56:04.238831 : Epoch  6, Batch    343, Loss  0.559712, Average Loss  0.544693, Time  0.258042
2021-09-10 00:56:06.152895 : Epoch  6, Batch    344, Loss  0.543156, Average Loss  0.544677, Time  0.261672
2021-09-10 00:56:08.049097 : Epoch  6, Batch    345, Loss  0.558435, Average Loss  0.544718, Time  0.258203
2021-09-10 00:56:09.922088 : Epoch  6, Batch    346, Loss  0.539459, Average Loss  0.544680, Time  0.262206
2021-09-10 00:56:11.993808 : Epoch  6, Batch    347, Loss  0.539058, Average Loss  0.544624, Time  0.258524
2021-09-10 00:56:13.959805 : Epoch  6, Batch    348, Loss  0.535198, Average Loss  0.544579, Time  0.258295
2021-09-10 00:56:15.873982 : Epoch  6, Batch    349, Loss  0.535194, Average Loss  0.544476, Time  0.258076
2021-09-10 00:56:17.840874 : Epoch  6, Batch    350, Loss  0.547917, Average Loss  0.544476, Time  0.258000
2021-09-10 00:56:19.762829 : Epoch  6, Batch    351, Loss  0.546344, Average Loss  0.544474, Time  0.258229
2021-09-10 00:56:21.672928 : Epoch  6, Batch    352, Loss  0.550773, Average Loss  0.544474, Time  0.258199
2021-09-10 00:56:23.583784 : Epoch  6, Batch    353, Loss  0.541820, Average Loss  0.544455, Time  0.258456
2021-09-10 00:56:25.500836 : Epoch  6, Batch    354, Loss  0.533494, Average Loss  0.544480, Time  0.258002
2021-09-10 00:56:27.410851 : Epoch  6, Batch    355, Loss  0.557946, Average Loss  0.544534, Time  0.258471
2021-09-10 00:56:29.336775 : Epoch  6, Batch    356, Loss  0.544131, Average Loss  0.544588, Time  0.258432
2021-09-10 00:56:31.278061 : Epoch  6, Batch    357, Loss  0.548891, Average Loss  0.544688, Time  0.258076
2021-09-10 00:56:33.212100 : Epoch  6, Batch    358, Loss  0.544075, Average Loss  0.544642, Time  0.257655
2021-09-10 00:56:35.132801 : Epoch  6, Batch    359, Loss  0.546325, Average Loss  0.544606, Time  0.258173
2021-09-10 00:56:37.036835 : Epoch  6, Batch    360, Loss  0.540995, Average Loss  0.544588, Time  0.263260
2021-09-10 00:56:38.921393 : Epoch  6, Batch    361, Loss  0.545837, Average Loss  0.544693, Time  0.260594
2021-09-10 00:56:40.802832 : Epoch  6, Batch    362, Loss  0.557415, Average Loss  0.544731, Time  0.258791
2021-09-10 00:56:42.684956 : Epoch  6, Batch    363, Loss  0.549708, Average Loss  0.544791, Time  0.258047
2021-09-10 00:56:44.578824 : Epoch  6, Batch    364, Loss  0.552379, Average Loss  0.544843, Time  0.265481
2021-09-10 00:56:46.441168 : Epoch  6, Batch    365, Loss  0.542121, Average Loss  0.544836, Time  0.259203
2021-09-10 00:57:56.242740 : CheckPoint: Validation Loss  0.00022636, Best Loss  0.00022396
2021-09-10 00:57:58.184853 : Epoch  6, Batch    366, Loss  0.532177, Average Loss  0.544809, Time  0.282860
2021-09-10 00:58:00.097935 : Epoch  6, Batch    367, Loss  0.543191, Average Loss  0.544829, Time  0.258577
2021-09-10 00:58:02.065931 : Epoch  6, Batch    368, Loss  0.550335, Average Loss  0.544909, Time  0.265546
2021-09-10 00:58:03.956057 : Epoch  6, Batch    369, Loss  0.553274, Average Loss  0.544927, Time  0.262493
2021-09-10 00:58:05.838002 : Epoch  6, Batch    370, Loss  0.535601, Average Loss  0.544850, Time  0.258368
2021-09-10 00:58:07.727063 : Epoch  6, Batch    371, Loss  0.532355, Average Loss  0.544787, Time  0.260854
2021-09-10 00:58:09.650834 : Epoch  6, Batch    372, Loss  0.535373, Average Loss  0.544701, Time  0.273879
2021-09-10 00:58:11.588951 : Epoch  6, Batch    373, Loss  0.534315, Average Loss  0.544658, Time  0.276936
2021-09-10 00:58:13.501778 : Epoch  6, Batch    374, Loss  0.543143, Average Loss  0.544642, Time  0.262093
2021-09-10 00:58:15.395825 : Epoch  6, Batch    375, Loss  0.553977, Average Loss  0.544696, Time  0.258306
2021-09-10 00:58:17.295090 : Epoch  6, Batch    376, Loss  0.539294, Average Loss  0.544680, Time  0.259202
2021-09-10 00:58:19.166843 : Epoch  6, Batch    377, Loss  0.547114, Average Loss  0.544685, Time  0.261601
2021-09-10 00:58:21.041977 : Epoch  6, Batch    378, Loss  0.545217, Average Loss  0.544712, Time  0.266025
2021-09-10 00:58:22.908566 : Epoch  6, Batch    379, Loss  0.538434, Average Loss  0.544626, Time  0.261317
2021-09-10 00:58:24.797832 : Epoch  6, Batch    380, Loss  0.550961, Average Loss  0.544704, Time  0.266822
2021-09-10 00:58:26.688787 : Epoch  6, Batch    381, Loss  0.549950, Average Loss  0.544830, Time  0.262191
2021-09-10 00:58:28.553137 : Epoch  6, Batch    382, Loss  0.550007, Average Loss  0.544827, Time  0.258548
2021-09-10 00:58:30.459871 : Epoch  6, Batch    383, Loss  0.557722, Average Loss  0.544884, Time  0.262609
2021-09-10 00:58:32.364924 : Epoch  6, Batch    384, Loss  0.545136, Average Loss  0.544884, Time  0.258677
2021-09-10 00:58:34.265878 : Epoch  6, Batch    385, Loss  0.552335, Average Loss  0.544938, Time  0.258323
2021-09-10 00:58:36.130802 : Epoch  6, Batch    386, Loss  0.546611, Average Loss  0.544963, Time  0.258270
2021-09-10 00:58:38.026774 : Epoch  6, Batch    387, Loss  0.555929, Average Loss  0.545083, Time  0.258795
2021-09-10 00:58:39.911987 : Epoch  6, Batch    388, Loss  0.541330, Average Loss  0.545022, Time  0.257908
2021-09-10 00:58:41.775921 : Epoch  6, Batch    389, Loss  0.543132, Average Loss  0.545021, Time  0.258026
2021-09-10 00:58:43.662050 : Epoch  6, Batch    390, Loss  0.546883, Average Loss  0.545051, Time  0.257959
2021-09-10 00:58:45.537782 : Epoch  6, Batch    391, Loss  0.542847, Average Loss  0.545042, Time  0.257892
2021-09-10 00:58:47.449783 : Epoch  6, Batch    392, Loss  0.549324, Average Loss  0.545120, Time  0.258189
2021-09-10 00:58:49.349888 : Epoch  6, Batch    393, Loss  0.540341, Average Loss  0.545069, Time  0.258182
2021-09-10 00:58:51.264802 : Epoch  6, Batch    394, Loss  0.536278, Average Loss  0.545068, Time  0.258555
2021-09-10 00:58:53.190122 : Epoch  6, Batch    395, Loss  0.547954, Average Loss  0.545067, Time  0.258303
2021-09-10 00:58:55.109852 : Epoch  6, Batch    396, Loss  0.540217, Average Loss  0.545077, Time  0.257926
2021-09-10 00:58:57.073960 : Epoch  6, Batch    397, Loss  0.532390, Average Loss  0.545036, Time  0.258267
2021-09-10 00:58:58.982828 : Epoch  6, Batch    398, Loss  0.555014, Average Loss  0.545048, Time  0.258035
2021-09-10 00:59:00.889068 : Epoch  6, Batch    399, Loss  0.554178, Average Loss  0.545101, Time  0.258034
2021-09-10 00:59:02.793829 : Epoch  6, Batch    400, Loss  0.549518, Average Loss  0.545127, Time  0.258039
2021-09-10 00:59:04.686130 : Epoch  6, Batch    401, Loss  0.543073, Average Loss  0.545106, Time  0.258068
2021-09-10 00:59:06.571819 : Epoch  6, Batch    402, Loss  0.549640, Average Loss  0.545143, Time  0.257991
2021-09-10 00:59:08.485061 : Epoch  6, Batch    403, Loss  0.550371, Average Loss  0.545151, Time  0.260095
2021-09-10 00:59:10.402069 : Epoch  6, Batch    404, Loss  0.545264, Average Loss  0.545146, Time  0.260404
2021-09-10 00:59:12.321064 : Epoch  6, Batch    405, Loss  0.536865, Average Loss  0.545172, Time  0.258010
2021-09-10 00:59:14.227840 : Epoch  6, Batch    406, Loss  0.540993, Average Loss  0.545090, Time  0.257592
2021-09-10 00:59:16.121847 : Epoch  6, Batch    407, Loss  0.535405, Average Loss  0.545047, Time  0.258495
2021-09-10 00:59:16.937725 : CheckPoint: Validation Loss  0.00060749, Best Loss  0.00056427
2021-09-10 00:59:18.037884 : Epoch  6, Batch    408, Loss  0.547954, Average Loss  0.545047, Time  0.257874
2021-09-10 00:59:18.786612 : Epoch  8, Batch    624, Loss  0.897619, Average Loss  0.868602, Time  0.433267
2021-09-10 00:59:19.939054 : Epoch  6, Batch    409, Loss  0.560348, Average Loss  0.545119, Time  0.257990
2021-09-10 00:59:20.689769 : Epoch  8, Batch    625, Loss  0.869732, Average Loss  0.868532, Time  0.457877
2021-09-10 00:59:21.847776 : Epoch  6, Batch    410, Loss  0.536020, Average Loss  0.545072, Time  0.258627
2021-09-10 00:59:22.461600 : Epoch  8, Batch    626, Loss  0.857062, Average Loss  0.868577, Time  0.355698
2021-09-10 00:59:23.773098 : Epoch  6, Batch    411, Loss  0.544910, Average Loss  0.545048, Time  0.258576
2021-09-10 00:59:24.264894 : Epoch  8, Batch    627, Loss  0.841746, Average Loss  0.868476, Time  0.364927
2021-09-10 00:59:25.704866 : Epoch  6, Batch    412, Loss  0.545073, Average Loss  0.545035, Time  0.257963
2021-09-10 00:59:26.049229 : Epoch  8, Batch    628, Loss  0.902284, Average Loss  0.868570, Time  0.366736
2021-09-10 00:59:27.640135 : Epoch  6, Batch    413, Loss  0.548399, Average Loss  0.545065, Time  0.258686
2021-09-10 00:59:27.934146 : Epoch  8, Batch    629, Loss  0.859586, Average Loss  0.868626, Time  0.450163
2021-09-10 00:59:29.526830 : Epoch  6, Batch    414, Loss  0.552343, Average Loss  0.545081, Time  0.258430
2021-09-10 00:59:29.757780 : Epoch  8, Batch    630, Loss  0.852123, Average Loss  0.868556, Time  0.386194
2021-09-10 00:59:31.440764 : Epoch  6, Batch    415, Loss  0.546286, Average Loss  0.545122, Time  0.258453
2021-09-10 00:59:31.549139 : Epoch  8, Batch    631, Loss  0.853852, Average Loss  0.868470, Time  0.360654
2021-09-10 00:59:33.333847 : Epoch  6, Batch    416, Loss  0.544122, Average Loss  0.545183, Time  0.260850
2021-09-10 00:59:33.334109 : Epoch  8, Batch    632, Loss  0.863474, Average Loss  0.868406, Time  0.363580
2021-09-10 00:59:35.253869 : Epoch  6, Batch    417, Loss  0.530072, Average Loss  0.545098, Time  0.266894
2021-09-10 00:59:35.303947 : Epoch  8, Batch    633, Loss  0.849956, Average Loss  0.868197, Time  0.451226
2021-09-10 00:59:37.160035 : Epoch  6, Batch    418, Loss  0.543867, Average Loss  0.545098, Time  0.275521
2021-09-10 00:59:37.214765 : Epoch  8, Batch    634, Loss  0.890189, Average Loss  0.868419, Time  0.438711
2021-09-10 00:59:39.012194 : Epoch  8, Batch    635, Loss  0.887049, Average Loss  0.868586, Time  0.365645
2021-09-10 00:59:39.073877 : Epoch  6, Batch    419, Loss  0.540137, Average Loss  0.544981, Time  0.267207
2021-09-10 00:59:40.781780 : Epoch  8, Batch    636, Loss  0.877800, Average Loss  0.868505, Time  0.356156
2021-09-10 00:59:40.949800 : Epoch  6, Batch    420, Loss  0.548326, Average Loss  0.545010, Time  0.259412
2021-09-10 00:59:42.611794 : Epoch  8, Batch    637, Loss  0.892415, Average Loss  0.868541, Time  0.415946
2021-09-10 00:59:42.833080 : Epoch  6, Batch    421, Loss  0.544016, Average Loss  0.544951, Time  0.263513
2021-09-10 00:59:44.484282 : Epoch  8, Batch    638, Loss  0.899816, Average Loss  0.868672, Time  0.455589
2021-09-10 00:59:44.710813 : Epoch  6, Batch    422, Loss  0.558081, Average Loss  0.544986, Time  0.264425
2021-09-10 00:59:46.258074 : Epoch  8, Batch    639, Loss  0.863169, Average Loss  0.868660, Time  0.357519
2021-09-10 00:59:46.640089 : Epoch  6, Batch    423, Loss  0.553085, Average Loss  0.545040, Time  0.265147
2021-09-10 00:59:48.043133 : Epoch  8, Batch    640, Loss  0.872148, Average Loss  0.868598, Time  0.359258
2021-09-10 00:59:48.542835 : Epoch  6, Batch    424, Loss  0.529396, Average Loss  0.544982, Time  0.259046
2021-09-10 00:59:49.861943 : Epoch  8, Batch    641, Loss  0.864174, Average Loss  0.868708, Time  0.379347
2021-09-10 00:59:50.437796 : Epoch  6, Batch    425, Loss  0.555744, Average Loss  0.544945, Time  0.258244
2021-09-10 00:59:51.753768 : Epoch  8, Batch    642, Loss  0.890842, Average Loss  0.868823, Time  0.456621
2021-09-10 00:59:52.328771 : Epoch  6, Batch    426, Loss  0.538544, Average Loss  0.544893, Time  0.263118
2021-09-10 00:59:53.529228 : Epoch  8, Batch    643, Loss  0.852421, Average Loss  0.868795, Time  0.337559
2021-09-10 00:59:54.218079 : Epoch  6, Batch    427, Loss  0.539759, Average Loss  0.544909, Time  0.261575
2021-09-10 00:59:55.307787 : Epoch  8, Batch    644, Loss  0.858075, Average Loss  0.868774, Time  0.361533
2021-09-10 00:59:56.097786 : Epoch  6, Batch    428, Loss  0.543705, Average Loss  0.544924, Time  0.257977
2021-09-10 00:59:57.162784 : Epoch  8, Batch    645, Loss  0.868347, Average Loss  0.868827, Time  0.365045
2021-09-10 00:59:58.005799 : Epoch  6, Batch    429, Loss  0.560710, Average Loss  0.545043, Time  0.264817
2021-09-10 00:59:59.038822 : Epoch  8, Batch    646, Loss  0.865080, Average Loss  0.868977, Time  0.453589
2021-09-10 00:59:59.898776 : Epoch  6, Batch    430, Loss  0.545212, Average Loss  0.545061, Time  0.258180
2021-09-10 01:00:00.868259 : Epoch  8, Batch    647, Loss  0.856228, Average Loss  0.868963, Time  0.408892
2021-09-10 01:00:01.810190 : Epoch  6, Batch    431, Loss  0.557273, Average Loss  0.545153, Time  0.263397
2021-09-10 01:00:02.680625 : Epoch  8, Batch    648, Loss  0.881499, Average Loss  0.869082, Time  0.360408
2021-09-10 01:00:03.693916 : Epoch  6, Batch    432, Loss  0.521527, Average Loss  0.544995, Time  0.257929
2021-09-10 01:00:04.447387 : Epoch  8, Batch    649, Loss  0.884169, Average Loss  0.869093, Time  0.355056
2021-09-10 01:00:05.605853 : Epoch  6, Batch    433, Loss  0.540465, Average Loss  0.544944, Time  0.257828
2021-09-10 01:00:06.284842 : Epoch  8, Batch    650, Loss  0.841460, Average Loss  0.869096, Time  0.432755
2021-09-10 01:00:07.517863 : Epoch  6, Batch    434, Loss  0.551985, Average Loss  0.544976, Time  0.257951
2021-09-10 01:00:08.212273 : Epoch  8, Batch    651, Loss  0.871026, Average Loss  0.869065, Time  0.456952
2021-09-10 01:00:09.403045 : Epoch  6, Batch    435, Loss  0.542094, Average Loss  0.544998, Time  0.257793
2021-09-10 01:00:10.003928 : Epoch  8, Batch    652, Loss  0.855932, Average Loss  0.868976, Time  0.365167
2021-09-10 01:00:11.803982 : Epoch  8, Batch    653, Loss  0.854415, Average Loss  0.868906, Time  0.363150
2021-09-10 01:00:13.409164 : Epoch  6, Batch    436, Loss  0.543763, Average Loss  0.544965, Time  0.269861
2021-09-10 01:00:13.588814 : Epoch  8, Batch    654, Loss  0.862208, Average Loss  0.868887, Time  0.370499
2021-09-10 01:00:15.296877 : Epoch  6, Batch    437, Loss  0.531321, Average Loss  0.544857, Time  0.267545
2021-09-10 01:00:15.455774 : Epoch  8, Batch    655, Loss  0.879334, Average Loss  0.868951, Time  0.452017
2021-09-10 01:00:17.187898 : Epoch  6, Batch    438, Loss  0.532117, Average Loss  0.544743, Time  0.275597
2021-09-10 01:00:17.239871 : Epoch  8, Batch    656, Loss  0.879681, Average Loss  0.869214, Time  0.356396
2021-09-10 01:00:19.008789 : Epoch  8, Batch    657, Loss  0.862791, Average Loss  0.869190, Time  0.356133
2021-09-10 01:00:19.083130 : Epoch  6, Batch    439, Loss  0.547159, Average Loss  0.544689, Time  0.258900
2021-09-10 01:00:20.817975 : Epoch  8, Batch    658, Loss  0.833627, Average Loss  0.868982, Time  0.376017
2021-09-10 01:00:21.004783 : Epoch  6, Batch    440, Loss  0.546181, Average Loss  0.544735, Time  0.293381
2021-09-10 01:00:22.723783 : Epoch  8, Batch    659, Loss  0.864779, Average Loss  0.869063, Time  0.467525
2021-09-10 01:00:22.894864 : Epoch  6, Batch    441, Loss  0.547799, Average Loss  0.544671, Time  0.267679
2021-09-10 01:00:24.500141 : Epoch  8, Batch    660, Loss  0.880478, Average Loss  0.869019, Time  0.352629
2021-09-10 01:00:24.769083 : Epoch  6, Batch    442, Loss  0.541601, Average Loss  0.544587, Time  0.261933
2021-09-10 01:00:26.297782 : Epoch  8, Batch    661, Loss  0.880210, Average Loss  0.869022, Time  0.357363
2021-09-10 01:00:26.658075 : Epoch  6, Batch    443, Loss  0.533330, Average Loss  0.544493, Time  0.264731
2021-09-10 01:00:28.098093 : Epoch  8, Batch    662, Loss  0.868254, Average Loss  0.868931, Time  0.364617
2021-09-10 01:00:28.522896 : Epoch  6, Batch    444, Loss  0.538943, Average Loss  0.544501, Time  0.262235
2021-09-10 01:00:30.005769 : Epoch  8, Batch    663, Loss  0.856566, Average Loss  0.868825, Time  0.454852
2021-09-10 01:00:30.405080 : Epoch  6, Batch    445, Loss  0.564289, Average Loss  0.544637, Time  0.257757
2021-09-10 01:00:31.849192 : Epoch  8, Batch    664, Loss  0.868513, Average Loss  0.868963, Time  0.408323
2021-09-10 01:00:32.288897 : Epoch  6, Batch    446, Loss  0.539551, Average Loss  0.544606, Time  0.258524
2021-09-10 01:00:33.649128 : Epoch  8, Batch    665, Loss  0.873439, Average Loss  0.868859, Time  0.357449
2021-09-10 01:00:34.190097 : Epoch  6, Batch    447, Loss  0.540263, Average Loss  0.544521, Time  0.267095
2021-09-10 01:00:35.454792 : Epoch  8, Batch    666, Loss  0.873552, Average Loss  0.868946, Time  0.355201
2021-09-10 01:00:36.080787 : Epoch  6, Batch    448, Loss  0.545281, Average Loss  0.544490, Time  0.258152
2021-09-10 01:00:37.325075 : Epoch  8, Batch    667, Loss  0.888469, Average Loss  0.868870, Time  0.425428
2021-09-10 01:00:37.964807 : Epoch  6, Batch    449, Loss  0.540988, Average Loss  0.544426, Time  0.258522
2021-09-10 01:00:39.212787 : Epoch  8, Batch    668, Loss  0.885450, Average Loss  0.868862, Time  0.466780
2021-09-10 01:00:39.862936 : Epoch  6, Batch    450, Loss  0.543063, Average Loss  0.544412, Time  0.264361
2021-09-10 01:00:41.001781 : Epoch  8, Batch    669, Loss  0.866903, Average Loss  0.868896, Time  0.355716
2021-09-10 01:00:41.774087 : Epoch  6, Batch    451, Loss  0.549768, Average Loss  0.544407, Time  0.264877
2021-09-10 01:00:42.775836 : Epoch  8, Batch    670, Loss  0.850304, Average Loss  0.868836, Time  0.359962
2021-09-10 01:00:43.651528 : Epoch  6, Batch    452, Loss  0.545377, Average Loss  0.544380, Time  0.258596
2021-09-10 01:00:44.601807 : Epoch  8, Batch    671, Loss  0.883898, Average Loss  0.868960, Time  0.394450
2021-09-10 01:00:45.524087 : Epoch  6, Batch    453, Loss  0.543883, Average Loss  0.544401, Time  0.258371
2021-09-10 01:00:46.479145 : Epoch  8, Batch    672, Loss  0.853584, Average Loss  0.868763, Time  0.460418
2021-09-10 01:00:47.414903 : Epoch  6, Batch    454, Loss  0.556976, Average Loss  0.544469, Time  0.263109
2021-09-10 01:00:48.315783 : Epoch  8, Batch    673, Loss  0.845963, Average Loss  0.868718, Time  0.373074
2021-09-10 01:00:49.312091 : Epoch  6, Batch    455, Loss  0.535712, Average Loss  0.544370, Time  0.269970
2021-09-10 01:00:50.103765 : Epoch  8, Batch    674, Loss  0.861823, Average Loss  0.868538, Time  0.356536
2021-09-10 01:00:51.197766 : Epoch  6, Batch    456, Loss  0.526691, Average Loss  0.544306, Time  0.265606
2021-09-10 01:00:51.898787 : Epoch  8, Batch    675, Loss  0.900719, Average Loss  0.868789, Time  0.356712
2021-09-10 01:00:53.067779 : Epoch  6, Batch    457, Loss  0.545682, Average Loss  0.544294, Time  0.261727
2021-09-10 01:00:53.787318 : Epoch  8, Batch    676, Loss  0.857815, Average Loss  0.868852, Time  0.451725
2021-09-10 01:00:54.972808 : Epoch  6, Batch    458, Loss  0.547374, Average Loss  0.544334, Time  0.264756
2021-09-10 01:00:55.667226 : Epoch  8, Batch    677, Loss  0.866613, Average Loss  0.868763, Time  0.450984
2021-09-10 01:00:56.882087 : Epoch  6, Batch    459, Loss  0.556158, Average Loss  0.544429, Time  0.258288
2021-09-10 01:00:57.459272 : Epoch  8, Batch    678, Loss  0.867678, Average Loss  0.868772, Time  0.357608
2021-09-10 01:00:58.787786 : Epoch  6, Batch    460, Loss  0.541241, Average Loss  0.544429, Time  0.259615
2021-09-10 01:00:59.282789 : Epoch  8, Batch    679, Loss  0.841554, Average Loss  0.868771, Time  0.355661
2021-09-10 01:01:00.668061 : Epoch  6, Batch    461, Loss  0.541375, Average Loss  0.544399, Time  0.260079
2021-09-10 01:01:01.110776 : Epoch  8, Batch    680, Loss  0.860745, Average Loss  0.868723, Time  0.410582
2021-09-10 01:01:02.571846 : Epoch  6, Batch    462, Loss  0.546699, Average Loss  0.544402, Time  0.258159
2021-09-10 01:01:03.002771 : Epoch  8, Batch    681, Loss  0.898151, Average Loss  0.868853, Time  0.475157
2021-09-10 01:01:04.474142 : Epoch  6, Batch    463, Loss  0.551614, Average Loss  0.544434, Time  0.257930
2021-09-10 01:01:04.803874 : Epoch  8, Batch    682, Loss  0.848789, Average Loss  0.868819, Time  0.370488
2021-09-10 01:01:06.384766 : Epoch  6, Batch    464, Loss  0.539001, Average Loss  0.544415, Time  0.258175
2021-09-10 01:01:06.600838 : Epoch  8, Batch    683, Loss  0.884602, Average Loss  0.868894, Time  0.359650
2021-09-10 01:01:08.271082 : Epoch  6, Batch    465, Loss  0.546269, Average Loss  0.544424, Time  0.258314
2021-09-10 01:01:08.406879 : Epoch  8, Batch    684, Loss  0.871117, Average Loss  0.868755, Time  0.366971
2021-09-10 01:01:10.290479 : Epoch  8, Batch    685, Loss  0.865504, Average Loss  0.868815, Time  0.452132
2021-09-10 01:01:12.056785 : Epoch  8, Batch    686, Loss  0.895446, Average Loss  0.869160, Time  0.357716
2021-09-10 01:01:13.840981 : Epoch  8, Batch    687, Loss  0.871661, Average Loss  0.869119, Time  0.357240
2021-09-10 01:01:15.633778 : Epoch  8, Batch    688, Loss  0.886783, Average Loss  0.869099, Time  0.385460
2021-09-10 01:01:17.522792 : Epoch  8, Batch    689, Loss  0.875571, Average Loss  0.869062, Time  0.452767
2021-09-10 01:01:19.343779 : Epoch  8, Batch    690, Loss  0.871152, Average Loss  0.869139, Time  0.355905
2021-09-10 01:01:21.143790 : Epoch  8, Batch    691, Loss  0.897606, Average Loss  0.869158, Time  0.358599
2021-09-10 01:01:22.950892 : Epoch  8, Batch    692, Loss  0.852124, Average Loss  0.868917, Time  0.360553
2021-09-10 01:01:24.866766 : Epoch  8, Batch    693, Loss  0.843043, Average Loss  0.868751, Time  0.451791
2021-09-10 01:01:26.710859 : Epoch  8, Batch    694, Loss  0.844727, Average Loss  0.868743, Time  0.396818
2021-09-10 01:01:28.518766 : Epoch  8, Batch    695, Loss  0.902061, Average Loss  0.868959, Time  0.357624
2021-09-10 01:01:30.333110 : Epoch  8, Batch    696, Loss  0.857117, Average Loss  0.868840, Time  0.356819
2021-09-10 01:01:32.249792 : Epoch  8, Batch    697, Loss  0.891201, Average Loss  0.868917, Time  0.434560
2021-09-10 01:01:34.159135 : Epoch  8, Batch    698, Loss  0.842117, Average Loss  0.868899, Time  0.452812
2021-09-10 01:01:35.964793 : Epoch  8, Batch    699, Loss  0.834862, Average Loss  0.868819, Time  0.355758
2021-09-10 01:01:37.774112 : Epoch  8, Batch    700, Loss  0.867620, Average Loss  0.868916, Time  0.355916
2021-09-10 01:01:39.604959 : Epoch  8, Batch    701, Loss  0.888685, Average Loss  0.868965, Time  0.369035
2021-09-10 01:01:41.515794 : Epoch  8, Batch    702, Loss  0.874509, Average Loss  0.869087, Time  0.453990
2021-09-10 01:01:43.404787 : Epoch  8, Batch    703, Loss  0.882152, Average Loss  0.869246, Time  0.409635
2021-09-10 01:01:45.214109 : Epoch  8, Batch    704, Loss  0.877444, Average Loss  0.869425, Time  0.357701
2021-09-10 01:01:47.013777 : Epoch  8, Batch    705, Loss  0.870013, Average Loss  0.869498, Time  0.355833
2021-09-10 01:01:48.888143 : Epoch  8, Batch    706, Loss  0.848253, Average Loss  0.869356, Time  0.431478
2021-09-10 01:01:50.787787 : Epoch  8, Batch    707, Loss  0.883462, Average Loss  0.869428, Time  0.454470
2021-09-10 01:01:52.606779 : Epoch  8, Batch    708, Loss  0.888494, Average Loss  0.869656, Time  0.357383
2021-09-10 01:01:54.417769 : Epoch  8, Batch    709, Loss  0.857628, Average Loss  0.869775, Time  0.356750
2021-09-10 01:01:56.237837 : Epoch  8, Batch    710, Loss  0.870790, Average Loss  0.869803, Time  0.357272
2021-09-10 01:01:58.184933 : Epoch  8, Batch    711, Loss  0.874221, Average Loss  0.869891, Time  0.451881
2021-09-10 01:02:00.078792 : Epoch  8, Batch    712, Loss  0.848499, Average Loss  0.869821, Time  0.443572
2021-09-10 01:02:01.879782 : Epoch  8, Batch    713, Loss  0.852941, Average Loss  0.869736, Time  0.362517
2021-09-10 01:02:03.655788 : Epoch  8, Batch    714, Loss  0.885532, Average Loss  0.869794, Time  0.356791
2021-09-10 01:02:05.493780 : Epoch  8, Batch    715, Loss  0.872990, Average Loss  0.869789, Time  0.414018
2021-09-10 01:02:07.376775 : Epoch  8, Batch    716, Loss  0.861541, Average Loss  0.869864, Time  0.451212
2021-09-10 01:02:09.168283 : Epoch  8, Batch    717, Loss  0.894576, Average Loss  0.870053, Time  0.365876
2021-09-10 01:02:10.943838 : Epoch  8, Batch    718, Loss  0.877944, Average Loss  0.869979, Time  0.357334
2021-09-10 01:02:12.764797 : Epoch  8, Batch    719, Loss  0.853139, Average Loss  0.869766, Time  0.387461
2021-09-10 01:02:14.634767 : Epoch  8, Batch    720, Loss  0.858508, Average Loss  0.869695, Time  0.449631
2021-09-10 01:02:16.403780 : Epoch  8, Batch    721, Loss  0.911594, Average Loss  0.869927, Time  0.357560
2021-09-10 01:02:18.016746 : CheckPoint: Validation Loss  0.00022031, Best Loss  0.00022031
2021-09-10 01:02:18.055205 : Best Model Updated
2021-09-10 01:02:18.209813 : Epoch  8, Batch    722, Loss  0.883719, Average Loss  0.870014, Time  0.376368
2021-09-10 01:02:20.163786 : Epoch  8, Batch    723, Loss  0.885319, Average Loss  0.870144, Time  0.354702
2021-09-10 01:02:21.014214 : Epoch  6, Batch    466, Loss  0.539037, Average Loss  0.544496, Time  0.267466
2021-09-10 01:02:22.925503 : Epoch  6, Batch    467, Loss  0.532916, Average Loss  0.544450, Time  0.263089
2021-09-10 01:02:24.836174 : Epoch  6, Batch    468, Loss  0.538814, Average Loss  0.544479, Time  0.261270
2021-09-10 01:02:26.741079 : Epoch  6, Batch    469, Loss  0.544225, Average Loss  0.544487, Time  0.263647
2021-09-10 01:02:28.649902 : Epoch  6, Batch    470, Loss  0.558048, Average Loss  0.544588, Time  0.264948
2021-09-10 01:02:30.575073 : Epoch  6, Batch    471, Loss  0.556388, Average Loss  0.544559, Time  0.268827
2021-09-10 01:02:32.470090 : Epoch  6, Batch    472, Loss  0.544218, Average Loss  0.544610, Time  0.258903
2021-09-10 01:02:34.358086 : Epoch  6, Batch    473, Loss  0.546979, Average Loss  0.544576, Time  0.263484
2021-09-10 01:02:36.259822 : Epoch  6, Batch    474, Loss  0.535913, Average Loss  0.544503, Time  0.258309
2021-09-10 01:02:38.169091 : Epoch  6, Batch    475, Loss  0.546407, Average Loss  0.544576, Time  0.266379
2021-09-10 01:02:40.074006 : Epoch  6, Batch    476, Loss  0.546382, Average Loss  0.544563, Time  0.260397
2021-09-10 01:02:41.947062 : Epoch  6, Batch    477, Loss  0.543008, Average Loss  0.544557, Time  0.257743
2021-09-10 01:02:43.853874 : Epoch  6, Batch    478, Loss  0.534913, Average Loss  0.544549, Time  0.257802
2021-09-10 01:02:45.761895 : Epoch  6, Batch    479, Loss  0.554218, Average Loss  0.544554, Time  0.257927
2021-09-10 01:02:47.671143 : Epoch  6, Batch    480, Loss  0.541428, Average Loss  0.544517, Time  0.257747
2021-09-10 01:02:49.584038 : Epoch  6, Batch    481, Loss  0.546484, Average Loss  0.544494, Time  0.257752
2021-09-10 01:02:51.499786 : Epoch  6, Batch    482, Loss  0.537993, Average Loss  0.544498, Time  0.258308
2021-09-10 01:02:53.441096 : Epoch  6, Batch    483, Loss  0.548151, Average Loss  0.544492, Time  0.258002
2021-09-10 01:02:55.363842 : Epoch  6, Batch    484, Loss  0.547011, Average Loss  0.544457, Time  0.257985
2021-09-10 01:02:57.286792 : Epoch  6, Batch    485, Loss  0.548352, Average Loss  0.544534, Time  0.257929
2021-09-10 01:02:59.234136 : Epoch  6, Batch    486, Loss  0.537298, Average Loss  0.544521, Time  0.260383
2021-09-10 01:03:01.178091 : Epoch  6, Batch    487, Loss  0.531604, Average Loss  0.544457, Time  0.259403
2021-09-10 01:03:03.086045 : Epoch  6, Batch    488, Loss  0.548617, Average Loss  0.544538, Time  0.257715
2021-09-10 01:03:05.008064 : Epoch  6, Batch    489, Loss  0.552017, Average Loss  0.544627, Time  0.257785
2021-09-10 01:03:06.928081 : Epoch  6, Batch    490, Loss  0.538393, Average Loss  0.544619, Time  0.258111
2021-09-10 01:03:08.855917 : Epoch  6, Batch    491, Loss  0.539236, Average Loss  0.544604, Time  0.257923
2021-09-10 01:03:10.776040 : Epoch  6, Batch    492, Loss  0.545503, Average Loss  0.544535, Time  0.257932
2021-09-10 01:03:12.702065 : Epoch  6, Batch    493, Loss  0.548810, Average Loss  0.544568, Time  0.257722
2021-09-10 01:03:14.613800 : Epoch  6, Batch    494, Loss  0.541695, Average Loss  0.544622, Time  0.257485
2021-09-10 01:03:16.536063 : Epoch  6, Batch    495, Loss  0.550304, Average Loss  0.544644, Time  0.257837
2021-09-10 01:03:18.458049 : Epoch  6, Batch    496, Loss  0.528056, Average Loss  0.544568, Time  0.257839
2021-09-10 01:03:20.379876 : Epoch  6, Batch    497, Loss  0.545477, Average Loss  0.544623, Time  0.260637
2021-09-10 01:03:22.300755 : Epoch  6, Batch    498, Loss  0.550845, Average Loss  0.544634, Time  0.258393
2021-09-10 01:03:24.212098 : Epoch  6, Batch    499, Loss  0.554497, Average Loss  0.544767, Time  0.257886
2021-09-10 01:03:26.128894 : Epoch  6, Batch    500, Loss  0.532238, Average Loss  0.544714, Time  0.257894
2021-09-10 01:03:28.045924 : Epoch  6, Batch    501, Loss  0.554318, Average Loss  0.544713, Time  0.258476
2021-09-10 01:03:29.966845 : Epoch  6, Batch    502, Loss  0.536828, Average Loss  0.544702, Time  0.258029
2021-09-10 01:03:31.883783 : Epoch  6, Batch    503, Loss  0.542682, Average Loss  0.544690, Time  0.257962
2021-09-10 01:03:33.804050 : Epoch  6, Batch    504, Loss  0.549299, Average Loss  0.544668, Time  0.257821
2021-09-10 01:03:35.723814 : Epoch  6, Batch    505, Loss  0.546484, Average Loss  0.544650, Time  0.258143
2021-09-10 01:03:37.642788 : Epoch  6, Batch    506, Loss  0.558461, Average Loss  0.544628, Time  0.257804
2021-09-10 01:03:39.575849 : Epoch  6, Batch    507, Loss  0.528655, Average Loss  0.544543, Time  0.258214
2021-09-10 01:03:41.501914 : Epoch  6, Batch    508, Loss  0.544635, Average Loss  0.544599, Time  0.257957
2021-09-10 01:03:43.412061 : Epoch  6, Batch    509, Loss  0.540528, Average Loss  0.544610, Time  0.257703
2021-09-10 01:03:45.322775 : Epoch  6, Batch    510, Loss  0.533570, Average Loss  0.544574, Time  0.258120
2021-09-10 01:03:47.217790 : Epoch  6, Batch    511, Loss  0.531613, Average Loss  0.544484, Time  0.258422
2021-09-10 01:03:49.115981 : Epoch  6, Batch    512, Loss  0.558392, Average Loss  0.544617, Time  0.258250
2021-09-10 01:03:51.008998 : Epoch  6, Batch    513, Loss  0.536274, Average Loss  0.544571, Time  0.258522
2021-09-10 01:03:52.892799 : Epoch  6, Batch    514, Loss  0.535808, Average Loss  0.544469, Time  0.263230
2021-09-10 01:03:54.792844 : Epoch  6, Batch    515, Loss  0.539458, Average Loss  0.544471, Time  0.262867
2021-09-10 01:03:56.713102 : Epoch  6, Batch    516, Loss  0.542063, Average Loss  0.544474, Time  0.267863
2021-09-10 01:03:58.611460 : Epoch  6, Batch    517, Loss  0.546325, Average Loss  0.544510, Time  0.260384
2021-09-10 01:04:00.502355 : Epoch  6, Batch    518, Loss  0.548404, Average Loss  0.544470, Time  0.264140
2021-09-10 01:04:02.383831 : Epoch  6, Batch    519, Loss  0.547821, Average Loss  0.544506, Time  0.262572
2021-09-10 01:04:04.302123 : Epoch  6, Batch    520, Loss  0.543118, Average Loss  0.544456, Time  0.266889
2021-09-10 01:04:06.232757 : Epoch  6, Batch    521, Loss  0.542960, Average Loss  0.544428, Time  0.268084
2021-09-10 01:04:08.157091 : Epoch  6, Batch    522, Loss  0.557730, Average Loss  0.544508, Time  0.263732
2021-09-10 01:04:10.074083 : Epoch  6, Batch    523, Loss  0.542951, Average Loss  0.544474, Time  0.257955
2021-09-10 01:04:11.993854 : Epoch  6, Batch    524, Loss  0.545310, Average Loss  0.544491, Time  0.258900
2021-09-10 01:04:13.900831 : Epoch  6, Batch    525, Loss  0.550939, Average Loss  0.544478, Time  0.258306
2021-09-10 01:04:15.801095 : Epoch  6, Batch    526, Loss  0.531529, Average Loss  0.544473, Time  0.260902
2021-09-10 01:04:17.716795 : Epoch  6, Batch    527, Loss  0.547659, Average Loss  0.544576, Time  0.261797
2021-09-10 01:04:19.624968 : Epoch  6, Batch    528, Loss  0.543581, Average Loss  0.544522, Time  0.266606
2021-09-10 01:04:21.535788 : Epoch  6, Batch    529, Loss  0.555780, Average Loss  0.544592, Time  0.261518
2021-09-10 01:04:23.412851 : Epoch  6, Batch    530, Loss  0.526008, Average Loss  0.544456, Time  0.260416
2021-09-10 01:04:25.306811 : Epoch  6, Batch    531, Loss  0.552776, Average Loss  0.544489, Time  0.258363
2021-09-10 01:04:27.213778 : Epoch  6, Batch    532, Loss  0.548826, Average Loss  0.544617, Time  0.261371
2021-09-10 01:04:29.122091 : Epoch  6, Batch    533, Loss  0.542636, Average Loss  0.544610, Time  0.266154
2021-09-10 01:04:31.028859 : Epoch  6, Batch    534, Loss  0.548698, Average Loss  0.544594, Time  0.258895
2021-09-10 01:04:32.914831 : Epoch  6, Batch    535, Loss  0.546865, Average Loss  0.544569, Time  0.258401
2021-09-10 01:04:36.968763 : Epoch  6, Batch    536, Loss  0.549657, Average Loss  0.544552, Time  0.276561
2021-09-10 01:04:38.863964 : Epoch  6, Batch    537, Loss  0.558058, Average Loss  0.544505, Time  0.262581
2021-09-10 01:04:40.758913 : Epoch  6, Batch    538, Loss  0.550565, Average Loss  0.544598, Time  0.261495
2021-09-10 01:04:42.669799 : Epoch  6, Batch    539, Loss  0.540030, Average Loss  0.544590, Time  0.265388
2021-09-10 01:04:44.565888 : Epoch  6, Batch    540, Loss  0.545365, Average Loss  0.544636, Time  0.264417
2021-09-10 01:04:46.467508 : Epoch  6, Batch    541, Loss  0.541738, Average Loss  0.544626, Time  0.264508
2021-09-10 01:04:48.353072 : Epoch  6, Batch    542, Loss  0.540202, Average Loss  0.544614, Time  0.270828
2021-09-10 01:04:50.242205 : Epoch  6, Batch    543, Loss  0.534294, Average Loss  0.544487, Time  0.261857
2021-09-10 01:04:52.124942 : Epoch  6, Batch    544, Loss  0.535836, Average Loss  0.544451, Time  0.263026
2021-09-10 01:04:54.005918 : Epoch  6, Batch    545, Loss  0.538341, Average Loss  0.544350, Time  0.258644
2021-09-10 01:04:55.899828 : Epoch  6, Batch    546, Loss  0.555418, Average Loss  0.544430, Time  0.257999
2021-09-10 01:04:57.791107 : Epoch  6, Batch    547, Loss  0.541963, Average Loss  0.544444, Time  0.262554
2021-09-10 01:04:59.671839 : Epoch  6, Batch    548, Loss  0.547268, Average Loss  0.544505, Time  0.258128
2021-09-10 01:05:01.619859 : Epoch  6, Batch    549, Loss  0.540643, Average Loss  0.544532, Time  0.259686
2021-09-10 01:05:03.571858 : Epoch  6, Batch    550, Loss  0.543295, Average Loss  0.544509, Time  0.261781
2021-09-10 01:05:05.457929 : Epoch  6, Batch    551, Loss  0.547977, Average Loss  0.544517, Time  0.262342
2021-09-10 01:05:07.388815 : Epoch  6, Batch    552, Loss  0.532924, Average Loss  0.544428, Time  0.266699
2021-09-10 01:05:09.274059 : Epoch  6, Batch    553, Loss  0.524077, Average Loss  0.544339, Time  0.258549
2021-09-10 01:05:11.171754 : Epoch  6, Batch    554, Loss  0.559473, Average Loss  0.544469, Time  0.267140
2021-09-10 01:05:13.058093 : Epoch  6, Batch    555, Loss  0.548112, Average Loss  0.544420, Time  0.260147
2021-09-10 01:05:14.974833 : Epoch  6, Batch    556, Loss  0.536857, Average Loss  0.544383, Time  0.258243
2021-09-10 01:05:16.985070 : Epoch  6, Batch    557, Loss  0.535825, Average Loss  0.544318, Time  0.258409
2021-09-10 01:05:18.909863 : Epoch  6, Batch    558, Loss  0.550484, Average Loss  0.544350, Time  0.258563
2021-09-10 01:05:20.830912 : Epoch  6, Batch    559, Loss  0.532847, Average Loss  0.544283, Time  0.257967
2021-09-10 01:05:22.765063 : Epoch  6, Batch    560, Loss  0.545145, Average Loss  0.544304, Time  0.257769
2021-09-10 01:05:24.684792 : Epoch  6, Batch    561, Loss  0.551898, Average Loss  0.544334, Time  0.257921
2021-09-10 01:05:26.609828 : Epoch  6, Batch    562, Loss  0.548461, Average Loss  0.544289, Time  0.258513
2021-09-10 01:05:28.527848 : Epoch  6, Batch    563, Loss  0.547780, Average Loss  0.544279, Time  0.258034
2021-09-10 01:05:30.464853 : Epoch  6, Batch    564, Loss  0.550403, Average Loss  0.544270, Time  0.258140
2021-09-10 01:05:32.374870 : Epoch  6, Batch    565, Loss  0.551954, Average Loss  0.544319, Time  0.258227
2021-09-10 01:06:41.903766 : CheckPoint: Validation Loss  0.00023086, Best Loss  0.00022031
2021-09-10 01:06:43.788866 : Epoch  6, Batch    566, Loss  0.552361, Average Loss  0.544420, Time  0.267531
2021-09-10 01:06:45.698792 : Epoch  6, Batch    567, Loss  0.545944, Average Loss  0.544433, Time  0.266485
2021-09-10 01:06:47.579782 : Epoch  6, Batch    568, Loss  0.561078, Average Loss  0.544487, Time  0.264568
2021-09-10 01:06:49.464852 : Epoch  6, Batch    569, Loss  0.552819, Average Loss  0.544485, Time  0.269777
2021-09-10 01:06:51.330878 : Epoch  6, Batch    570, Loss  0.542493, Average Loss  0.544519, Time  0.262414
2021-09-10 01:06:53.203072 : Epoch  6, Batch    571, Loss  0.551736, Average Loss  0.544616, Time  0.257842
2021-09-10 01:06:55.089902 : Epoch  6, Batch    572, Loss  0.540395, Average Loss  0.544641, Time  0.258249
2021-09-10 01:06:56.991843 : Epoch  6, Batch    573, Loss  0.545983, Average Loss  0.544700, Time  0.264131
2021-09-10 01:06:58.890814 : Epoch  6, Batch    574, Loss  0.542101, Average Loss  0.544694, Time  0.258308
2021-09-10 01:07:00.782068 : Epoch  6, Batch    575, Loss  0.530731, Average Loss  0.544578, Time  0.266910
2021-09-10 01:07:02.654840 : Epoch  6, Batch    576, Loss  0.545280, Average Loss  0.544608, Time  0.261813
2021-09-10 01:07:04.552900 : Epoch  6, Batch    577, Loss  0.548818, Average Loss  0.544617, Time  0.260023
2021-09-10 01:07:06.464237 : Epoch  6, Batch    578, Loss  0.543284, Average Loss  0.544607, Time  0.260709
2021-09-10 01:07:08.362767 : Epoch  6, Batch    579, Loss  0.547979, Average Loss  0.544655, Time  0.258367
2021-09-10 01:07:10.292852 : Epoch  6, Batch    580, Loss  0.528075, Average Loss  0.544540, Time  0.262258
2021-09-10 01:07:10.974731 : CheckPoint: Validation Loss  0.00059282, Best Loss  0.00056427
2021-09-10 01:07:12.177832 : Epoch  6, Batch    581, Loss  0.545220, Average Loss  0.544517, Time  0.258263
2021-09-10 01:07:12.755780 : Epoch  8, Batch    724, Loss  0.860469, Average Loss  0.870217, Time  0.358011
2021-09-10 01:07:14.087951 : Epoch  6, Batch    582, Loss  0.532449, Average Loss  0.544429, Time  0.258049
2021-09-10 01:07:14.543783 : Epoch  8, Batch    725, Loss  0.853220, Average Loss  0.870128, Time  0.359964
2021-09-10 01:07:15.971778 : Epoch  6, Batch    583, Loss  0.538926, Average Loss  0.544335, Time  0.265396
2021-09-10 01:07:16.432784 : Epoch  8, Batch    726, Loss  0.881167, Average Loss  0.870250, Time  0.451617
2021-09-10 01:07:17.869792 : Epoch  6, Batch    584, Loss  0.534148, Average Loss  0.544280, Time  0.262961
2021-09-10 01:07:18.313785 : Epoch  8, Batch    727, Loss  0.881953, Average Loss  0.870275, Time  0.445909
2021-09-10 01:07:19.762787 : Epoch  6, Batch    585, Loss  0.544361, Average Loss  0.544240, Time  0.263935
2021-09-10 01:07:20.108811 : Epoch  8, Batch    728, Loss  0.862732, Average Loss  0.870262, Time  0.356950
2021-09-10 01:07:21.669839 : Epoch  6, Batch    586, Loss  0.546404, Average Loss  0.544239, Time  0.258189
2021-09-10 01:07:21.892765 : Epoch  8, Batch    729, Loss  0.854968, Average Loss  0.870102, Time  0.355801
2021-09-10 01:07:23.546774 : Epoch  6, Batch    587, Loss  0.547224, Average Loss  0.544196, Time  0.258298
2021-09-10 01:07:23.727761 : Epoch  8, Batch    730, Loss  0.884293, Average Loss  0.870140, Time  0.405102
2021-09-10 01:07:25.446762 : Epoch  6, Batch    588, Loss  0.535257, Average Loss  0.544165, Time  0.263913
2021-09-10 01:07:25.610775 : Epoch  8, Batch    731, Loss  0.874419, Average Loss  0.870234, Time  0.461719
2021-09-10 01:07:27.361911 : Epoch  6, Batch    589, Loss  0.550340, Average Loss  0.544201, Time  0.262360
2021-09-10 01:07:27.415825 : Epoch  8, Batch    732, Loss  0.887507, Average Loss  0.870353, Time  0.357134
2021-09-10 01:07:29.228785 : Epoch  8, Batch    733, Loss  0.909152, Average Loss  0.870469, Time  0.358752
2021-09-10 01:07:29.262911 : Epoch  6, Batch    590, Loss  0.540585, Average Loss  0.544170, Time  0.259644
2021-09-10 01:07:31.030818 : Epoch  8, Batch    734, Loss  0.876543, Average Loss  0.870375, Time  0.370437
2021-09-10 01:07:31.191822 : Epoch  6, Batch    591, Loss  0.541993, Average Loss  0.544165, Time  0.262575
2021-09-10 01:07:32.905834 : Epoch  8, Batch    735, Loss  0.857682, Average Loss  0.870314, Time  0.453451
2021-09-10 01:07:33.100928 : Epoch  6, Batch    592, Loss  0.544029, Average Loss  0.544139, Time  0.280248
2021-09-10 01:07:34.696009 : Epoch  8, Batch    736, Loss  0.875017, Average Loss  0.870487, Time  0.346596
2021-09-10 01:07:34.995077 : Epoch  6, Batch    593, Loss  0.537893, Average Loss  0.544127, Time  0.259707
2021-09-10 01:07:36.499778 : Epoch  8, Batch    737, Loss  0.882605, Average Loss  0.870543, Time  0.355721
2021-09-10 01:07:36.901754 : Epoch  6, Batch    594, Loss  0.555235, Average Loss  0.544221, Time  0.258256
2021-09-10 01:07:38.302772 : Epoch  8, Batch    738, Loss  0.848525, Average Loss  0.870487, Time  0.357413
2021-09-10 01:07:38.817908 : Epoch  6, Batch    595, Loss  0.543711, Average Loss  0.544200, Time  0.258708
2021-09-10 01:07:40.206093 : Epoch  8, Batch    739, Loss  0.912133, Average Loss  0.870613, Time  0.450868
2021-09-10 01:07:40.685763 : Epoch  6, Batch    596, Loss  0.532911, Average Loss  0.544164, Time  0.258142
2021-09-10 01:07:42.130470 : Epoch  8, Batch    740, Loss  0.866734, Average Loss  0.870417, Time  0.447589
2021-09-10 01:07:42.562794 : Epoch  6, Batch    597, Loss  0.555126, Average Loss  0.544277, Time  0.258063
2021-09-10 01:07:43.924785 : Epoch  8, Batch    741, Loss  0.839438, Average Loss  0.870411, Time  0.356646
2021-09-10 01:07:44.437820 : Epoch  6, Batch    598, Loss  0.544696, Average Loss  0.544226, Time  0.259087
2021-09-10 01:07:45.741816 : Epoch  8, Batch    742, Loss  0.858201, Average Loss  0.870395, Time  0.354796
2021-09-10 01:07:46.304911 : Epoch  6, Batch    599, Loss  0.533083, Average Loss  0.544120, Time  0.258257
2021-09-10 01:07:47.560852 : Epoch  8, Batch    743, Loss  0.842235, Average Loss  0.870337, Time  0.377432
2021-09-10 01:07:48.198810 : Epoch  6, Batch    600, Loss  0.548482, Average Loss  0.544115, Time  0.262192
2021-09-10 01:07:49.460108 : Epoch  8, Batch    744, Loss  0.876446, Average Loss  0.870274, Time  0.450549
2021-09-10 01:07:50.091975 : Epoch  6, Batch    601, Loss  0.540185, Average Loss  0.544101, Time  0.258253
2021-09-10 01:07:51.347127 : Epoch  8, Batch    745, Loss  0.864115, Average Loss  0.870271, Time  0.416775
2021-09-10 01:07:52.046247 : Epoch  6, Batch    602, Loss  0.548854, Average Loss  0.544097, Time  0.282764
2021-09-10 01:07:53.162866 : Epoch  8, Batch    746, Loss  0.859015, Average Loss  0.870103, Time  0.357782
2021-09-10 01:07:53.957765 : Epoch  6, Batch    603, Loss  0.520557, Average Loss  0.543948, Time  0.262737
2021-09-10 01:07:54.960789 : Epoch  8, Batch    747, Loss  0.854299, Average Loss  0.869952, Time  0.357740
2021-09-10 01:07:55.833405 : Epoch  6, Batch    604, Loss  0.545511, Average Loss  0.543949, Time  0.258325
2021-09-10 01:07:56.825827 : Epoch  8, Batch    748, Loss  0.854539, Average Loss  0.869827, Time  0.413648
2021-09-10 01:07:57.707809 : Epoch  6, Batch    605, Loss  0.543965, Average Loss  0.543984, Time  0.262027
2021-09-10 01:07:58.737820 : Epoch  8, Batch    749, Loss  0.878134, Average Loss  0.869885, Time  0.452053
2021-09-10 01:07:59.584139 : Epoch  6, Batch    606, Loss  0.551154, Average Loss  0.544035, Time  0.258362
2021-09-10 01:08:00.595126 : Epoch  8, Batch    750, Loss  0.884698, Average Loss  0.869863, Time  0.412375
2021-09-10 01:08:01.483790 : Epoch  6, Batch    607, Loss  0.537724, Average Loss  0.544047, Time  0.262682
2021-09-10 01:08:02.385893 : Epoch  8, Batch    751, Loss  0.879585, Average Loss  0.870011, Time  0.355875
2021-09-10 01:08:03.390900 : Epoch  6, Batch    608, Loss  0.545075, Average Loss  0.544032, Time  0.262609
2021-09-10 01:08:04.180185 : Epoch  8, Batch    752, Loss  0.897568, Average Loss  0.870256, Time  0.358283
2021-09-10 01:08:05.271796 : Epoch  6, Batch    609, Loss  0.527136, Average Loss  0.543866, Time  0.258898
2021-09-10 01:08:06.050781 : Epoch  8, Batch    753, Loss  0.853792, Average Loss  0.870351, Time  0.424849
2021-09-10 01:08:07.174769 : Epoch  6, Batch    610, Loss  0.526287, Average Loss  0.543818, Time  0.262222
2021-09-10 01:08:07.940781 : Epoch  8, Batch    754, Loss  0.896063, Average Loss  0.870445, Time  0.454600
2021-09-10 01:08:09.093914 : Epoch  6, Batch    611, Loss  0.551124, Average Loss  0.543849, Time  0.264297
2021-09-10 01:08:09.736359 : Epoch  8, Batch    755, Loss  0.862997, Average Loss  0.870518, Time  0.335406
2021-09-10 01:08:10.989152 : Epoch  6, Batch    612, Loss  0.541267, Average Loss  0.543830, Time  0.259829
2021-09-10 01:08:11.538216 : Epoch  8, Batch    756, Loss  0.858592, Average Loss  0.870475, Time  0.358490
2021-09-10 01:08:12.896835 : Epoch  6, Batch    613, Loss  0.551225, Average Loss  0.543844, Time  0.259343
2021-09-10 01:08:13.350795 : Epoch  8, Batch    757, Loss  0.900237, Average Loss  0.870613, Time  0.358346
2021-09-10 01:08:14.786261 : Epoch  6, Batch    614, Loss  0.542679, Average Loss  0.543796, Time  0.258589
2021-09-10 01:08:15.232788 : Epoch  8, Batch    758, Loss  0.870919, Average Loss  0.870588, Time  0.454665
2021-09-10 01:08:16.690547 : Epoch  6, Batch    615, Loss  0.533037, Average Loss  0.543729, Time  0.267258
2021-09-10 01:08:17.047834 : Epoch  8, Batch    759, Loss  0.884452, Average Loss  0.870741, Time  0.379732
2021-09-10 01:08:18.574282 : Epoch  6, Batch    616, Loss  0.533499, Average Loss  0.543676, Time  0.263725
2021-09-10 01:08:18.839454 : Epoch  8, Batch    760, Loss  0.853094, Average Loss  0.870611, Time  0.357766
2021-09-10 01:08:20.449722 : Epoch  6, Batch    617, Loss  0.554968, Average Loss  0.543801, Time  0.259593
2021-09-10 01:08:20.635266 : Epoch  8, Batch    761, Loss  0.866445, Average Loss  0.870375, Time  0.357178
2021-09-10 01:08:22.356959 : Epoch  6, Batch    618, Loss  0.548749, Average Loss  0.543825, Time  0.260813
2021-09-10 01:08:22.514897 : Epoch  8, Batch    762, Loss  0.869410, Average Loss  0.870345, Time  0.455419
2021-09-10 01:08:24.251843 : Epoch  6, Batch    619, Loss  0.536143, Average Loss  0.543805, Time  0.261889
2021-09-10 01:08:24.416820 : Epoch  8, Batch    763, Loss  0.868241, Average Loss  0.870326, Time  0.467603
2021-09-10 01:08:26.151104 : Epoch  6, Batch    620, Loss  0.550285, Average Loss  0.543815, Time  0.262235
2021-09-10 01:08:26.188588 : Epoch  8, Batch    764, Loss  0.868350, Average Loss  0.870205, Time  0.356940
2021-09-10 01:08:27.976783 : Epoch  8, Batch    765, Loss  0.860847, Average Loss  0.869979, Time  0.357186
2021-09-10 01:08:28.042949 : Epoch  6, Batch    621, Loss  0.542691, Average Loss  0.543808, Time  0.260994
2021-09-10 01:08:29.805787 : Epoch  8, Batch    766, Loss  0.849157, Average Loss  0.869940, Time  0.387038
2021-09-10 01:08:29.972650 : Epoch  6, Batch    622, Loss  0.529888, Average Loss  0.543667, Time  0.257672
2021-09-10 01:08:31.710771 : Epoch  8, Batch    767, Loss  0.851297, Average Loss  0.869831, Time  0.452409
2021-09-10 01:08:31.881053 : Epoch  6, Batch    623, Loss  0.537774, Average Loss  0.543591, Time  0.260532
2021-09-10 01:08:33.470886 : Epoch  8, Batch    768, Loss  0.846973, Average Loss  0.869682, Time  0.354157
2021-09-10 01:08:33.776103 : Epoch  6, Batch    624, Loss  0.540840, Average Loss  0.543648, Time  0.259280
2021-09-10 01:08:35.277766 : Epoch  8, Batch    769, Loss  0.871423, Average Loss  0.869766, Time  0.359506
2021-09-10 01:08:35.688845 : Epoch  6, Batch    625, Loss  0.537424, Average Loss  0.543556, Time  0.257948
2021-09-10 01:08:37.095832 : Epoch  8, Batch    770, Loss  0.832746, Average Loss  0.869555, Time  0.362309
2021-09-10 01:08:37.599090 : Epoch  6, Batch    626, Loss  0.547445, Average Loss  0.543601, Time  0.258240
2021-09-10 01:08:39.021117 : Epoch  8, Batch    771, Loss  0.865582, Average Loss  0.869513, Time  0.452924
2021-09-10 01:08:39.537059 : Epoch  6, Batch    627, Loss  0.543690, Average Loss  0.543621, Time  0.258522
2021-09-10 01:08:40.881778 : Epoch  8, Batch    772, Loss  0.855783, Average Loss  0.869351, Time  0.409564
2021-09-10 01:08:41.454878 : Epoch  6, Batch    628, Loss  0.544290, Average Loss  0.543624, Time  0.258372
2021-09-10 01:08:42.662797 : Epoch  8, Batch    773, Loss  0.901903, Average Loss  0.869572, Time  0.364546
2021-09-10 01:08:43.372071 : Epoch  6, Batch    629, Loss  0.548658, Average Loss  0.543563, Time  0.257914
2021-09-10 01:08:44.465767 : Epoch  8, Batch    774, Loss  0.897448, Average Loss  0.869763, Time  0.366355
2021-09-10 01:08:45.294891 : Epoch  6, Batch    630, Loss  0.549207, Average Loss  0.543583, Time  0.258003
2021-09-10 01:08:46.351096 : Epoch  8, Batch    775, Loss  0.897332, Average Loss  0.869852, Time  0.443185
2021-09-10 01:08:47.195999 : Epoch  6, Batch    631, Loss  0.545360, Average Loss  0.543524, Time  0.267570
2021-09-10 01:08:48.245770 : Epoch  8, Batch    776, Loss  0.858177, Average Loss  0.869697, Time  0.457117
2021-09-10 01:08:49.101088 : Epoch  6, Batch    632, Loss  0.536883, Average Loss  0.543600, Time  0.264687
2021-09-10 01:08:50.042088 : Epoch  8, Batch    777, Loss  0.827520, Average Loss  0.869364, Time  0.355875
2021-09-10 01:08:51.019936 : Epoch  6, Batch    633, Loss  0.550304, Average Loss  0.543650, Time  0.275304
2021-09-10 01:08:51.828790 : Epoch  8, Batch    778, Loss  0.873272, Average Loss  0.869399, Time  0.355137
2021-09-10 01:08:52.888949 : Epoch  6, Batch    634, Loss  0.551787, Average Loss  0.543649, Time  0.258546
2021-09-10 01:08:53.661081 : Epoch  8, Batch    779, Loss  0.888960, Average Loss  0.869463, Time  0.381706
2021-09-10 01:08:54.783084 : Epoch  6, Batch    635, Loss  0.543070, Average Loss  0.543654, Time  0.267365
2021-09-10 01:08:55.566023 : Epoch  8, Batch    780, Loss  0.856127, Average Loss  0.869211, Time  0.454928
2021-09-10 01:08:57.378098 : Epoch  8, Batch    781, Loss  0.877122, Average Loss  0.869189, Time  0.364186
2021-09-10 01:08:58.766792 : Epoch  6, Batch    636, Loss  0.534770, Average Loss  0.543609, Time  0.273608
2021-09-10 01:08:59.187169 : Epoch  8, Batch    782, Loss  0.863419, Average Loss  0.869155, Time  0.355518
2021-09-10 01:09:00.655796 : Epoch  6, Batch    637, Loss  0.542978, Average Loss  0.543667, Time  0.258600
2021-09-10 01:09:00.978766 : Epoch  8, Batch    783, Loss  0.844994, Average Loss  0.869065, Time  0.356826
2021-09-10 01:09:02.540782 : Epoch  6, Batch    638, Loss  0.537727, Average Loss  0.543695, Time  0.258879
2021-09-10 01:09:02.863227 : Epoch  8, Batch    784, Loss  0.891702, Average Loss  0.869292, Time  0.453079
2021-09-10 01:09:04.420187 : Epoch  6, Batch    639, Loss  0.536145, Average Loss  0.543640, Time  0.265344
2021-09-10 01:09:04.719780 : Epoch  8, Batch    785, Loss  0.869059, Average Loss  0.869265, Time  0.435498
2021-09-10 01:09:06.337794 : Epoch  6, Batch    640, Loss  0.553433, Average Loss  0.543676, Time  0.258690
2021-09-10 01:09:06.522258 : Epoch  8, Batch    786, Loss  0.841907, Average Loss  0.869075, Time  0.357382
2021-09-10 01:09:08.234352 : Epoch  6, Batch    641, Loss  0.540743, Average Loss  0.543641, Time  0.266738
2021-09-10 01:09:08.290201 : Epoch  8, Batch    787, Loss  0.863167, Average Loss  0.868965, Time  0.360137
2021-09-10 01:09:10.125159 : Epoch  8, Batch    788, Loss  0.873397, Average Loss  0.868905, Time  0.412987
2021-09-10 01:09:10.125625 : Epoch  6, Batch    642, Loss  0.551016, Average Loss  0.543688, Time  0.258055
2021-09-10 01:09:12.004822 : Epoch  8, Batch    789, Loss  0.876844, Average Loss  0.868911, Time  0.450349
2021-09-10 01:09:12.078120 : Epoch  6, Batch    643, Loss  0.533433, Average Loss  0.543688, Time  0.268722
2021-09-10 01:09:13.797792 : Epoch  8, Batch    790, Loss  0.870778, Average Loss  0.869043, Time  0.358815
2021-09-10 01:09:13.978795 : Epoch  6, Batch    644, Loss  0.542722, Average Loss  0.543707, Time  0.259145
2021-09-10 01:09:15.606958 : Epoch  8, Batch    791, Loss  0.850100, Average Loss  0.869018, Time  0.355837
2021-09-10 01:09:15.879087 : Epoch  6, Batch    645, Loss  0.545735, Average Loss  0.543615, Time  0.266112
2021-09-10 01:09:17.437114 : Epoch  8, Batch    792, Loss  0.875792, Average Loss  0.869028, Time  0.375515
2021-09-10 01:09:17.795897 : Epoch  6, Batch    646, Loss  0.547281, Average Loss  0.543653, Time  0.258572
2021-09-10 01:09:19.332765 : Epoch  8, Batch    793, Loss  0.874222, Average Loss  0.869175, Time  0.453772
2021-09-10 01:09:19.712090 : Epoch  6, Batch    647, Loss  0.569932, Average Loss  0.543802, Time  0.264269
2021-09-10 01:09:21.114071 : Epoch  8, Batch    794, Loss  0.870369, Average Loss  0.869298, Time  0.335606
2021-09-10 01:09:21.617905 : Epoch  6, Batch    648, Loss  0.551958, Average Loss  0.543835, Time  0.261856
2021-09-10 01:09:22.912782 : Epoch  8, Batch    795, Loss  0.860514, Average Loss  0.869360, Time  0.368595
2021-09-10 01:09:23.521792 : Epoch  6, Batch    649, Loss  0.552374, Average Loss  0.543892, Time  0.264765
2021-09-10 01:09:24.697877 : Epoch  8, Batch    796, Loss  0.893376, Average Loss  0.869512, Time  0.355272
2021-09-10 01:09:25.426919 : Epoch  6, Batch    650, Loss  0.537787, Average Loss  0.543865, Time  0.261724
2021-09-10 01:09:26.589951 : Epoch  8, Batch    797, Loss  0.847019, Average Loss  0.869576, Time  0.460238
2021-09-10 01:09:27.311084 : Epoch  6, Batch    651, Loss  0.545006, Average Loss  0.543842, Time  0.261194
2021-09-10 01:09:28.491797 : Epoch  8, Batch    798, Loss  0.866101, Average Loss  0.869490, Time  0.433655
2021-09-10 01:09:29.203828 : Epoch  6, Batch    652, Loss  0.548035, Average Loss  0.543855, Time  0.259236
2021-09-10 01:09:30.291708 : Epoch  8, Batch    799, Loss  0.885162, Average Loss  0.869486, Time  0.371378
2021-09-10 01:09:31.070792 : Epoch  6, Batch    653, Loss  0.550043, Average Loss  0.543886, Time  0.261751
2021-09-10 01:09:32.084776 : Epoch  8, Batch    800, Loss  0.867367, Average Loss  0.869612, Time  0.358271
2021-09-10 01:09:32.980841 : Epoch  6, Batch    654, Loss  0.546892, Average Loss  0.543835, Time  0.270992
2021-09-10 01:09:33.919783 : Epoch  8, Batch    801, Loss  0.860396, Average Loss  0.869652, Time  0.427660
2021-09-10 01:09:34.898103 : Epoch  6, Batch    655, Loss  0.552608, Average Loss  0.543920, Time  0.258799
2021-09-10 01:09:35.775857 : Epoch  8, Batch    802, Loss  0.854667, Average Loss  0.869693, Time  0.456780
2021-09-10 01:09:36.781535 : Epoch  6, Batch    656, Loss  0.561434, Average Loss  0.544094, Time  0.258123
2021-09-10 01:09:37.553782 : Epoch  8, Batch    803, Loss  0.849394, Average Loss  0.869621, Time  0.369971
2021-09-10 01:09:38.690084 : Epoch  6, Batch    657, Loss  0.538989, Average Loss  0.544060, Time  0.260720
2021-09-10 01:09:39.348780 : Epoch  8, Batch    804, Loss  0.854319, Average Loss  0.869585, Time  0.356888
2021-09-10 01:09:40.594589 : Epoch  6, Batch    658, Loss  0.542413, Average Loss  0.544035, Time  0.263141
2021-09-10 01:09:41.186781 : Epoch  8, Batch    805, Loss  0.866493, Average Loss  0.869495, Time  0.388314
2021-09-10 01:09:42.463887 : Epoch  6, Batch    659, Loss  0.545947, Average Loss  0.543984, Time  0.261216
2021-09-10 01:09:43.098803 : Epoch  8, Batch    806, Loss  0.864770, Average Loss  0.869440, Time  0.458570
2021-09-10 01:09:44.350883 : Epoch  6, Batch    660, Loss  0.541322, Average Loss  0.543985, Time  0.258412
2021-09-10 01:09:44.880782 : Epoch  8, Batch    807, Loss  0.863642, Average Loss  0.869364, Time  0.373704
2021-09-10 01:09:46.244113 : Epoch  6, Batch    661, Loss  0.534792, Average Loss  0.543952, Time  0.263906
2021-09-10 01:09:46.657274 : Epoch  8, Batch    808, Loss  0.889989, Average Loss  0.869323, Time  0.357808
2021-09-10 01:09:48.122203 : Epoch  6, Batch    662, Loss  0.534515, Average Loss  0.543891, Time  0.258329
2021-09-10 01:09:48.429782 : Epoch  8, Batch    809, Loss  0.855532, Average Loss  0.869408, Time  0.353453
2021-09-10 01:09:50.017905 : Epoch  6, Batch    663, Loss  0.541950, Average Loss  0.543842, Time  0.258636
2021-09-10 01:09:50.328779 : Epoch  8, Batch    810, Loss  0.878218, Average Loss  0.869443, Time  0.471241
2021-09-10 01:09:51.893825 : Epoch  6, Batch    664, Loss  0.543106, Average Loss  0.543863, Time  0.264688
2021-09-10 01:09:52.172713 : Epoch  8, Batch    811, Loss  0.878570, Average Loss  0.869533, Time  0.445852
2021-09-10 01:09:53.759863 : Epoch  6, Batch    665, Loss  0.554420, Average Loss  0.543904, Time  0.259343
2021-09-10 01:09:53.932795 : Epoch  8, Batch    812, Loss  0.870691, Average Loss  0.869431, Time  0.363676
2021-09-10 01:09:55.717786 : Epoch  8, Batch    813, Loss  0.853587, Average Loss  0.869356, Time  0.366270
2021-09-10 01:09:57.551783 : Epoch  8, Batch    814, Loss  0.866220, Average Loss  0.869259, Time  0.411460
2021-09-10 01:09:59.443781 : Epoch  8, Batch    815, Loss  0.875972, Average Loss  0.869286, Time  0.456979
2021-09-10 01:10:01.264943 : Epoch  8, Batch    816, Loss  0.845574, Average Loss  0.869184, Time  0.346352
2021-09-10 01:10:03.031805 : Epoch  8, Batch    817, Loss  0.862098, Average Loss  0.869117, Time  0.364764
2021-09-10 01:10:04.823941 : Epoch  8, Batch    818, Loss  0.885640, Average Loss  0.869167, Time  0.362448
2021-09-10 01:10:06.716780 : Epoch  8, Batch    819, Loss  0.875109, Average Loss  0.869271, Time  0.460746
2021-09-10 01:10:08.503781 : Epoch  8, Batch    820, Loss  0.843306, Average Loss  0.869094, Time  0.353441
2021-09-10 01:10:10.279772 : Epoch  8, Batch    821, Loss  0.870040, Average Loss  0.869072, Time  0.369915
2021-09-10 01:10:12.085776 : Epoch  8, Batch    822, Loss  0.867117, Average Loss  0.869029, Time  0.394317
2021-09-10 01:10:13.947780 : Epoch  8, Batch    823, Loss  0.903699, Average Loss  0.869169, Time  0.435158
2021-09-10 01:11:03.478758 : CheckPoint: Validation Loss  0.00022628, Best Loss  0.00022031
2021-09-10 01:11:05.392851 : Epoch  6, Batch    666, Loss  0.547939, Average Loss  0.543948, Time  0.264997
2021-09-10 01:11:07.315783 : Epoch  6, Batch    667, Loss  0.539319, Average Loss  0.543980, Time  0.258204
2021-09-10 01:11:09.236803 : Epoch  6, Batch    668, Loss  0.535617, Average Loss  0.543964, Time  0.258091
2021-09-10 01:11:11.162047 : Epoch  6, Batch    669, Loss  0.553422, Average Loss  0.544010, Time  0.258058
2021-09-10 01:11:13.067906 : Epoch  6, Batch    670, Loss  0.535845, Average Loss  0.543899, Time  0.258204
2021-09-10 01:11:14.980119 : Epoch  6, Batch    671, Loss  0.547436, Average Loss  0.543854, Time  0.258507
2021-09-10 01:11:16.893871 : Epoch  6, Batch    672, Loss  0.539183, Average Loss  0.543829, Time  0.258881
2021-09-10 01:11:18.817923 : Epoch  6, Batch    673, Loss  0.545676, Average Loss  0.543823, Time  0.258386
2021-09-10 01:11:20.735129 : Epoch  6, Batch    674, Loss  0.537973, Average Loss  0.543833, Time  0.258700
2021-09-10 01:11:22.630948 : Epoch  6, Batch    675, Loss  0.545456, Average Loss  0.543828, Time  0.258279
2021-09-10 01:11:24.530043 : Epoch  6, Batch    676, Loss  0.538431, Average Loss  0.543789, Time  0.258170
2021-09-10 01:11:26.449884 : Epoch  6, Batch    677, Loss  0.541267, Average Loss  0.543780, Time  0.258221
2021-09-10 01:11:28.374903 : Epoch  6, Batch    678, Loss  0.533119, Average Loss  0.543771, Time  0.258183
2021-09-10 01:11:30.294065 : Epoch  6, Batch    679, Loss  0.549216, Average Loss  0.543746, Time  0.258112
2021-09-10 01:11:32.206786 : Epoch  6, Batch    680, Loss  0.530559, Average Loss  0.543692, Time  0.258579
2021-09-10 01:11:34.136062 : Epoch  6, Batch    681, Loss  0.544065, Average Loss  0.543679, Time  0.258065
2021-09-10 01:11:36.065061 : Epoch  6, Batch    682, Loss  0.532236, Average Loss  0.543651, Time  0.257851
2021-09-10 01:11:37.979054 : Epoch  6, Batch    683, Loss  0.538919, Average Loss  0.543605, Time  0.257911
2021-09-10 01:11:39.891812 : Epoch  6, Batch    684, Loss  0.538224, Average Loss  0.543561, Time  0.258058
2021-09-10 01:11:41.817788 : Epoch  6, Batch    685, Loss  0.547142, Average Loss  0.543555, Time  0.258550
2021-09-10 01:11:43.740063 : Epoch  6, Batch    686, Loss  0.544381, Average Loss  0.543590, Time  0.257815
2021-09-10 01:11:45.665785 : Epoch  6, Batch    687, Loss  0.551088, Average Loss  0.543687, Time  0.266701
2021-09-10 01:11:47.578785 : Epoch  6, Batch    688, Loss  0.546513, Average Loss  0.543677, Time  0.258051
2021-09-10 01:11:49.483792 : Epoch  6, Batch    689, Loss  0.545245, Average Loss  0.543643, Time  0.258292
2021-09-10 01:11:51.384773 : Epoch  6, Batch    690, Loss  0.544260, Average Loss  0.543672, Time  0.258482
2021-09-10 01:11:53.290080 : Epoch  6, Batch    691, Loss  0.544726, Average Loss  0.543700, Time  0.270289
2021-09-10 01:11:55.213845 : Epoch  6, Batch    692, Loss  0.557156, Average Loss  0.543758, Time  0.274804
2021-09-10 01:11:57.119775 : Epoch  6, Batch    693, Loss  0.551735, Average Loss  0.543773, Time  0.274586
2021-09-10 01:11:59.041077 : Epoch  6, Batch    694, Loss  0.539368, Average Loss  0.543761, Time  0.258635
2021-09-10 01:12:00.940878 : Epoch  6, Batch    695, Loss  0.551279, Average Loss  0.543766, Time  0.260872
2021-09-10 01:12:02.831986 : Epoch  6, Batch    696, Loss  0.533410, Average Loss  0.543793, Time  0.259511
2021-09-10 01:12:04.700614 : Epoch  6, Batch    697, Loss  0.547743, Average Loss  0.543804, Time  0.258236
2021-09-10 01:12:06.596905 : Epoch  6, Batch    698, Loss  0.534118, Average Loss  0.543720, Time  0.257915
2021-09-10 01:12:08.530063 : Epoch  6, Batch    699, Loss  0.547488, Average Loss  0.543685, Time  0.258304
2021-09-10 01:12:10.436906 : Epoch  6, Batch    700, Loss  0.541691, Average Loss  0.543733, Time  0.262229
2021-09-10 01:12:12.340811 : Epoch  6, Batch    701, Loss  0.539993, Average Loss  0.543661, Time  0.264610
2021-09-10 01:12:14.224064 : Epoch  6, Batch    702, Loss  0.542760, Average Loss  0.543691, Time  0.257647
2021-09-10 01:12:16.113075 : Epoch  6, Batch    703, Loss  0.536609, Average Loss  0.543660, Time  0.258467
2021-09-10 01:12:18.004066 : Epoch  6, Batch    704, Loss  0.539776, Average Loss  0.543613, Time  0.257967
2021-09-10 01:12:19.921864 : Epoch  6, Batch    705, Loss  0.528592, Average Loss  0.543523, Time  0.258440
2021-09-10 01:12:21.843786 : Epoch  6, Batch    706, Loss  0.547645, Average Loss  0.543469, Time  0.258281
2021-09-10 01:12:23.749858 : Epoch  6, Batch    707, Loss  0.527071, Average Loss  0.543461, Time  0.258554
2021-09-10 01:12:25.661831 : Epoch  6, Batch    708, Loss  0.552528, Average Loss  0.543501, Time  0.262869
2021-09-10 01:12:27.577077 : Epoch  6, Batch    709, Loss  0.542742, Average Loss  0.543512, Time  0.265644
2021-09-10 01:12:29.486788 : Epoch  6, Batch    710, Loss  0.540740, Average Loss  0.543548, Time  0.261509
2021-09-10 01:12:31.400095 : Epoch  6, Batch    711, Loss  0.526495, Average Loss  0.543522, Time  0.261856
2021-09-10 01:12:33.283831 : Epoch  6, Batch    712, Loss  0.540813, Average Loss  0.543434, Time  0.262644
2021-09-10 01:12:35.175969 : Epoch  6, Batch    713, Loss  0.552870, Average Loss  0.543517, Time  0.262925
2021-09-10 01:12:37.071100 : Epoch  6, Batch    714, Loss  0.549076, Average Loss  0.543583, Time  0.258353
2021-09-10 01:12:38.958882 : Epoch  6, Batch    715, Loss  0.543428, Average Loss  0.543603, Time  0.258989
2021-09-10 01:12:40.845966 : Epoch  6, Batch    716, Loss  0.525322, Average Loss  0.543520, Time  0.258325
2021-09-10 01:12:42.747093 : Epoch  6, Batch    717, Loss  0.538922, Average Loss  0.543483, Time  0.266741
2021-09-10 01:12:44.628841 : Epoch  6, Batch    718, Loss  0.555046, Average Loss  0.543516, Time  0.258491
2021-09-10 01:12:46.554069 : Epoch  6, Batch    719, Loss  0.549857, Average Loss  0.543526, Time  0.268842
2021-09-10 01:12:48.478811 : Epoch  6, Batch    720, Loss  0.538323, Average Loss  0.543502, Time  0.261789
2021-09-10 01:12:50.373796 : Epoch  6, Batch    721, Loss  0.541741, Average Loss  0.543496, Time  0.258061
2021-09-10 01:12:52.280823 : Epoch  6, Batch    722, Loss  0.543305, Average Loss  0.543424, Time  0.267201
2021-09-10 01:12:54.256881 : Epoch  6, Batch    723, Loss  0.548828, Average Loss  0.543453, Time  0.261915
2021-09-10 01:12:56.146820 : Epoch  6, Batch    724, Loss  0.555429, Average Loss  0.543504, Time  0.261991
2021-09-10 01:12:58.064867 : Epoch  6, Batch    725, Loss  0.528213, Average Loss  0.543390, Time  0.259765
2021-09-10 01:12:59.935958 : Epoch  6, Batch    726, Loss  0.539313, Average Loss  0.543429, Time  0.258842
2021-09-10 01:13:01.825790 : Epoch  6, Batch    727, Loss  0.537751, Average Loss  0.543379, Time  0.261790
2021-09-10 01:13:03.728087 : Epoch  6, Batch    728, Loss  0.553122, Average Loss  0.543427, Time  0.266758
2021-09-10 01:13:05.619308 : Epoch  6, Batch    729, Loss  0.554589, Average Loss  0.543421, Time  0.259222
2021-09-10 01:13:07.516821 : Epoch  6, Batch    730, Loss  0.539605, Average Loss  0.543489, Time  0.259159
2021-09-10 01:13:09.449067 : Epoch  6, Batch    731, Loss  0.560662, Average Loss  0.543529, Time  0.257815
2021-09-10 01:13:11.383846 : Epoch  6, Batch    732, Loss  0.537954, Average Loss  0.543474, Time  0.258724
2021-09-10 01:13:13.315823 : Epoch  6, Batch    733, Loss  0.555698, Average Loss  0.543540, Time  0.258836
2021-09-10 01:13:15.238855 : Epoch  6, Batch    734, Loss  0.540762, Average Loss  0.543500, Time  0.257900
2021-09-10 01:13:17.159786 : Epoch  6, Batch    735, Loss  0.540569, Average Loss  0.543468, Time  0.258332
2021-09-10 01:13:21.197795 : Epoch  6, Batch    736, Loss  0.531332, Average Loss  0.543377, Time  0.271425
2021-09-10 01:13:23.153856 : Epoch  6, Batch    737, Loss  0.532378, Average Loss  0.543248, Time  0.259139
2021-09-10 01:13:25.069080 : Epoch  6, Batch    738, Loss  0.540405, Average Loss  0.543198, Time  0.258099
2021-09-10 01:13:26.952808 : Epoch  6, Batch    739, Loss  0.542632, Average Loss  0.543211, Time  0.261989
2021-09-10 01:13:28.834851 : Epoch  6, Batch    740, Loss  0.550817, Average Loss  0.543238, Time  0.258561
2021-09-10 01:13:30.771122 : Epoch  6, Batch    741, Loss  0.535207, Average Loss  0.543205, Time  0.258484
2021-09-10 01:13:32.712830 : Epoch  6, Batch    742, Loss  0.549043, Average Loss  0.543249, Time  0.258654
2021-09-10 01:13:34.620873 : Epoch  6, Batch    743, Loss  0.533609, Average Loss  0.543246, Time  0.258645
2021-09-10 01:13:36.537087 : Epoch  6, Batch    744, Loss  0.537755, Average Loss  0.543256, Time  0.258493
2021-09-10 01:13:38.447861 : Epoch  6, Batch    745, Loss  0.546140, Average Loss  0.543295, Time  0.264478
2021-09-10 01:13:40.371826 : Epoch  6, Batch    746, Loss  0.539712, Average Loss  0.543216, Time  0.259105
2021-09-10 01:13:42.267721 : Epoch  6, Batch    747, Loss  0.546173, Average Loss  0.543237, Time  0.260290
2021-09-10 01:13:44.157798 : Epoch  6, Batch    748, Loss  0.544741, Average Loss  0.543224, Time  0.258159
2021-09-10 01:13:46.048082 : Epoch  6, Batch    749, Loss  0.536172, Average Loss  0.543202, Time  0.259500
2021-09-10 01:13:47.940949 : Epoch  6, Batch    750, Loss  0.542836, Average Loss  0.543200, Time  0.260116
2021-09-10 01:13:49.872910 : Epoch  6, Batch    751, Loss  0.541105, Average Loss  0.543165, Time  0.258411
2021-09-10 01:13:51.766934 : Epoch  6, Batch    752, Loss  0.544620, Average Loss  0.543224, Time  0.258683
2021-09-10 01:13:53.659935 : Epoch  6, Batch    753, Loss  0.538314, Average Loss  0.543295, Time  0.261930
2021-09-10 01:13:55.546091 : Epoch  6, Batch    754, Loss  0.546211, Average Loss  0.543229, Time  0.264234
2021-09-10 01:13:57.438099 : Epoch  6, Batch    755, Loss  0.549639, Average Loss  0.543236, Time  0.258120
2021-09-10 01:13:59.338786 : Epoch  6, Batch    756, Loss  0.533744, Average Loss  0.543221, Time  0.258310
2021-09-10 01:14:01.233691 : Epoch  6, Batch    757, Loss  0.539409, Average Loss  0.543239, Time  0.258487
2021-09-10 01:14:03.132982 : Epoch  6, Batch    758, Loss  0.533711, Average Loss  0.543155, Time  0.264034
2021-09-10 01:14:05.017105 : Epoch  6, Batch    759, Loss  0.536681, Average Loss  0.543174, Time  0.258435
2021-09-10 01:14:06.944880 : Epoch  6, Batch    760, Loss  0.546442, Average Loss  0.543181, Time  0.262420
2021-09-10 01:14:08.835869 : Epoch  6, Batch    761, Loss  0.550828, Average Loss  0.543175, Time  0.258991
2021-09-10 01:14:10.743923 : Epoch  6, Batch    762, Loss  0.539516, Average Loss  0.543130, Time  0.258635
2021-09-10 01:14:12.638845 : Epoch  6, Batch    763, Loss  0.545271, Average Loss  0.543118, Time  0.258248
2021-09-10 01:14:14.543838 : Epoch  6, Batch    764, Loss  0.535674, Average Loss  0.543044, Time  0.264446
2021-09-10 01:14:16.437080 : Epoch  6, Batch    765, Loss  0.530367, Average Loss  0.542936, Time  0.269707
2021-09-10 01:15:04.796736 : CheckPoint: Validation Loss  0.00059690, Best Loss  0.00056427
2021-09-10 01:15:06.684772 : Epoch  8, Batch    824, Loss  0.860917, Average Loss  0.868986, Time  0.437767
2021-09-10 01:15:08.604774 : Epoch  8, Batch    825, Loss  0.860094, Average Loss  0.868937, Time  0.449279
2021-09-10 01:15:10.373777 : Epoch  8, Batch    826, Loss  0.873251, Average Loss  0.869018, Time  0.342197
2021-09-10 01:15:12.141821 : Epoch  8, Batch    827, Loss  0.879703, Average Loss  0.869208, Time  0.357547
2021-09-10 01:15:13.927771 : Epoch  8, Batch    828, Loss  0.883631, Average Loss  0.869115, Time  0.365406
2021-09-10 01:15:15.823783 : Epoch  8, Batch    829, Loss  0.893568, Average Loss  0.869285, Time  0.455916
2021-09-10 01:15:17.608782 : Epoch  8, Batch    830, Loss  0.863685, Average Loss  0.869343, Time  0.350574
2021-09-10 01:15:19.407770 : Epoch  8, Batch    831, Loss  0.873275, Average Loss  0.869440, Time  0.357040
2021-09-10 01:15:21.205765 : Epoch  8, Batch    832, Loss  0.862033, Average Loss  0.869433, Time  0.355775
2021-09-10 01:15:23.086784 : Epoch  8, Batch    833, Loss  0.854810, Average Loss  0.869457, Time  0.456656
2021-09-10 01:15:24.937964 : Epoch  8, Batch    834, Loss  0.897891, Average Loss  0.869495, Time  0.435321
2021-09-10 01:15:26.164753 : CheckPoint: Validation Loss  0.00023060, Best Loss  0.00022031
2021-09-10 01:15:26.703454 : Epoch  8, Batch    835, Loss  0.859614, Average Loss  0.869358, Time  0.365115
2021-09-10 01:15:28.085854 : Epoch  6, Batch    766, Loss  0.524438, Average Loss  0.542797, Time  0.266141
2021-09-10 01:15:28.480080 : Epoch  8, Batch    836, Loss  0.865393, Average Loss  0.869296, Time  0.367841
2021-09-10 01:15:29.976874 : Epoch  6, Batch    767, Loss  0.560559, Average Loss  0.542870, Time  0.259254
2021-09-10 01:15:30.332496 : Epoch  8, Batch    837, Loss  0.856273, Average Loss  0.869115, Time  0.453658
2021-09-10 01:15:31.880923 : Epoch  6, Batch    768, Loss  0.549565, Average Loss  0.542812, Time  0.262186
2021-09-10 01:15:32.196775 : Epoch  8, Batch    838, Loss  0.836379, Average Loss  0.868798, Time  0.458458
2021-09-10 01:15:33.767808 : Epoch  6, Batch    769, Loss  0.541566, Average Loss  0.542756, Time  0.259188
2021-09-10 01:15:33.981222 : Epoch  8, Batch    839, Loss  0.860149, Average Loss  0.868783, Time  0.374146
2021-09-10 01:15:35.703114 : Epoch  6, Batch    770, Loss  0.538557, Average Loss  0.542736, Time  0.272534
2021-09-10 01:15:35.748815 : Epoch  8, Batch    840, Loss  0.882136, Average Loss  0.868833, Time  0.364226
2021-09-10 01:15:37.595407 : Epoch  8, Batch    841, Loss  0.876341, Average Loss  0.868894, Time  0.425752
2021-09-10 01:15:37.635979 : Epoch  6, Batch    771, Loss  0.536572, Average Loss  0.542660, Time  0.265272
2021-09-10 01:15:39.498011 : Epoch  8, Batch    842, Loss  0.890691, Average Loss  0.868893, Time  0.452898
2021-09-10 01:15:39.549937 : Epoch  6, Batch    772, Loss  0.560575, Average Loss  0.542761, Time  0.258479
2021-09-10 01:15:41.416315 : Epoch  8, Batch    843, Loss  0.873920, Average Loss  0.869001, Time  0.432228
2021-09-10 01:15:41.485407 : Epoch  6, Batch    773, Loss  0.547250, Average Loss  0.542768, Time  0.259099
2021-09-10 01:15:43.203694 : Epoch  8, Batch    844, Loss  0.845534, Average Loss  0.868938, Time  0.365543
2021-09-10 01:15:43.438016 : Epoch  6, Batch    774, Loss  0.549922, Average Loss  0.542807, Time  0.286767
2021-09-10 01:15:44.984103 : Epoch  8, Batch    845, Loss  0.862649, Average Loss  0.868909, Time  0.355072
2021-09-10 01:15:45.360128 : Epoch  6, Batch    775, Loss  0.547122, Average Loss  0.542889, Time  0.259478
2021-09-10 01:15:46.870769 : Epoch  8, Batch    846, Loss  0.862577, Average Loss  0.868897, Time  0.454148
2021-09-10 01:15:47.259780 : Epoch  6, Batch    776, Loss  0.564852, Average Loss  0.542987, Time  0.259084
2021-09-10 01:15:48.765777 : Epoch  8, Batch    847, Loss  0.851621, Average Loss  0.868874, Time  0.458752
2021-09-10 01:15:49.184087 : Epoch  6, Batch    777, Loss  0.541460, Average Loss  0.542950, Time  0.271863
2021-09-10 01:15:50.554910 : Epoch  8, Batch    848, Loss  0.873996, Average Loss  0.868836, Time  0.364075
2021-09-10 01:15:51.085802 : Epoch  6, Batch    778, Loss  0.539896, Average Loss  0.542933, Time  0.261875
2021-09-10 01:15:52.339133 : Epoch  8, Batch    849, Loss  0.868613, Average Loss  0.868759, Time  0.356437
2021-09-10 01:15:52.979888 : Epoch  6, Batch    779, Loss  0.533796, Average Loss  0.542862, Time  0.259129
2021-09-10 01:15:54.146271 : Epoch  8, Batch    850, Loss  0.886701, Average Loss  0.868985, Time  0.383541
2021-09-10 01:15:54.872905 : Epoch  6, Batch    780, Loss  0.543151, Average Loss  0.542937, Time  0.268596
2021-09-10 01:15:56.036809 : Epoch  8, Batch    851, Loss  0.807396, Average Loss  0.868667, Time  0.454591
2021-09-10 01:15:56.810096 : Epoch  6, Batch    781, Loss  0.554450, Average Loss  0.542984, Time  0.261186
2021-09-10 01:15:57.823778 : Epoch  8, Batch    852, Loss  0.869285, Average Loss  0.868733, Time  0.357657
2021-09-10 01:15:58.736774 : Epoch  6, Batch    782, Loss  0.549135, Average Loss  0.543067, Time  0.265029
2021-09-10 01:15:59.617938 : Epoch  8, Batch    853, Loss  0.870901, Average Loss  0.868816, Time  0.356044
2021-09-10 01:16:00.631808 : Epoch  6, Batch    783, Loss  0.549130, Average Loss  0.543118, Time  0.262740
2021-09-10 01:16:01.418789 : Epoch  8, Batch    854, Loss  0.879207, Average Loss  0.868901, Time  0.367822
2021-09-10 01:16:02.514772 : Epoch  6, Batch    784, Loss  0.538876, Average Loss  0.543142, Time  0.268310
2021-09-10 01:16:03.305129 : Epoch  8, Batch    855, Loss  0.871345, Average Loss  0.868861, Time  0.464569
2021-09-10 01:16:04.407079 : Epoch  6, Batch    785, Loss  0.549619, Average Loss  0.543168, Time  0.264132
2021-09-10 01:16:05.066776 : Epoch  8, Batch    856, Loss  0.864740, Average Loss  0.868786, Time  0.337453
2021-09-10 01:16:06.370752 : Epoch  6, Batch    786, Loss  0.552164, Average Loss  0.543197, Time  0.269242
2021-09-10 01:16:06.870367 : Epoch  8, Batch    857, Loss  0.883765, Average Loss  0.868891, Time  0.356630
2021-09-10 01:16:08.314807 : Epoch  6, Batch    787, Loss  0.548138, Average Loss  0.543201, Time  0.260559
2021-09-10 01:16:08.400636 : Saving Model after 6-th Epoch.
2021-09-10 01:16:09.402240 : Epoch  8, Batch    858, Loss  0.863642, Average Loss  0.869041, Time  0.357538
2021-09-10 01:16:09.479666 : Epoch Finished.
2021-09-10 01:16:11.227977 : Epoch  8, Batch    859, Loss  0.876872, Average Loss  0.869102, Time  0.360174
2021-09-10 01:16:11.631732 : Batch Shuffled
2021-09-10 01:16:13.121913 : Epoch  8, Batch    860, Loss  0.863764, Average Loss  0.869018, Time  0.452794
2021-09-10 01:16:13.565082 : Epoch  7, Batch      1, Loss  0.547792, Average Loss  0.543264, Time  0.272886
2021-09-10 01:16:15.011729 : Epoch  8, Batch    861, Loss  0.830334, Average Loss  0.868769, Time  0.444734
2021-09-10 01:16:15.451859 : Epoch  7, Batch      2, Loss  0.555090, Average Loss  0.543288, Time  0.260676
2021-09-10 01:16:16.806102 : Epoch  8, Batch    862, Loss  0.888719, Average Loss  0.868871, Time  0.356831
2021-09-10 01:16:17.359787 : Epoch  7, Batch      3, Loss  0.530941, Average Loss  0.543239, Time  0.258293
2021-09-10 01:16:18.616784 : Epoch  8, Batch    863, Loss  0.827702, Average Loss  0.868727, Time  0.357498
2021-09-10 01:16:19.298777 : Epoch  7, Batch      4, Loss  0.539807, Average Loss  0.543229, Time  0.266540
2021-09-10 01:16:20.442766 : Epoch  8, Batch    864, Loss  0.875725, Average Loss  0.868763, Time  0.384733
2021-09-10 01:16:21.200894 : Epoch  7, Batch      5, Loss  0.543023, Average Loss  0.543224, Time  0.258681
2021-09-10 01:16:22.337830 : Epoch  8, Batch    865, Loss  0.873529, Average Loss  0.868763, Time  0.451473
2021-09-10 01:16:23.098997 : Epoch  7, Batch      6, Loss  0.549407, Average Loss  0.543281, Time  0.259421
2021-09-10 01:16:24.132940 : Epoch  8, Batch    866, Loss  0.866615, Average Loss  0.868728, Time  0.356755
2021-09-10 01:16:24.979765 : Epoch  7, Batch      7, Loss  0.549302, Average Loss  0.543251, Time  0.258765
2021-09-10 01:16:25.934093 : Epoch  8, Batch    867, Loss  0.871970, Average Loss  0.868646, Time  0.357636
2021-09-10 01:16:26.873799 : Epoch  7, Batch      8, Loss  0.542144, Average Loss  0.543244, Time  0.258254
2021-09-10 01:16:27.744789 : Epoch  8, Batch    868, Loss  0.869856, Average Loss  0.868568, Time  0.361569
2021-09-10 01:16:28.801915 : Epoch  7, Batch      9, Loss  0.528673, Average Loss  0.543222, Time  0.271674
2021-09-10 01:16:29.639775 : Epoch  8, Batch    869, Loss  0.883214, Average Loss  0.868650, Time  0.450551
2021-09-10 01:16:30.679775 : Epoch  7, Batch     10, Loss  0.532564, Average Loss  0.543110, Time  0.258546
2021-09-10 01:16:31.429098 : Epoch  8, Batch    870, Loss  0.864141, Average Loss  0.868719, Time  0.347838
2021-09-10 01:16:32.611788 : Epoch  7, Batch     11, Loss  0.534161, Average Loss  0.543057, Time  0.266264
2021-09-10 01:16:33.238773 : Epoch  8, Batch    871, Loss  0.847397, Average Loss  0.868536, Time  0.358552
2021-09-10 01:16:34.489859 : Epoch  7, Batch     12, Loss  0.545045, Average Loss  0.543117, Time  0.258215
2021-09-10 01:16:35.040069 : Epoch  8, Batch    872, Loss  0.874632, Average Loss  0.868641, Time  0.356052
2021-09-10 01:16:36.367105 : Epoch  7, Batch     13, Loss  0.532816, Average Loss  0.543038, Time  0.258697
2021-09-10 01:16:36.935768 : Epoch  8, Batch    873, Loss  0.836002, Average Loss  0.868592, Time  0.452634
2021-09-10 01:16:38.236082 : Epoch  7, Batch     14, Loss  0.548726, Average Loss  0.543081, Time  0.258132
2021-09-10 01:16:38.743783 : Epoch  8, Batch    874, Loss  0.892660, Average Loss  0.868746, Time  0.371177
2021-09-10 01:16:40.111777 : Epoch  7, Batch     15, Loss  0.536466, Average Loss  0.543019, Time  0.263504
2021-09-10 01:16:40.543772 : Epoch  8, Batch    875, Loss  0.852235, Average Loss  0.868503, Time  0.359757
2021-09-10 01:16:42.007048 : Epoch  7, Batch     16, Loss  0.533382, Average Loss  0.543083, Time  0.259158
2021-09-10 01:16:42.334761 : Epoch  8, Batch    876, Loss  0.824007, Average Loss  0.868334, Time  0.357533
2021-09-10 01:16:43.902038 : Epoch  7, Batch     17, Loss  0.548789, Average Loss  0.543100, Time  0.258646
2021-09-10 01:16:44.223969 : Epoch  8, Batch    877, Loss  0.875378, Average Loss  0.868378, Time  0.449977
2021-09-10 01:16:45.783961 : Epoch  7, Batch     18, Loss  0.539150, Average Loss  0.543076, Time  0.259055
2021-09-10 01:16:46.119763 : Epoch  8, Batch    878, Loss  0.893328, Average Loss  0.868506, Time  0.450397
2021-09-10 01:16:47.698810 : Epoch  7, Batch     19, Loss  0.544504, Average Loss  0.543042, Time  0.265118
2021-09-10 01:16:47.919938 : Epoch  8, Batch    879, Loss  0.883321, Average Loss  0.868715, Time  0.354834
2021-09-10 01:16:49.579271 : Epoch  7, Batch     20, Loss  0.533290, Average Loss  0.543020, Time  0.258960
2021-09-10 01:16:49.725778 : Epoch  8, Batch    880, Loss  0.879124, Average Loss  0.868807, Time  0.359798
2021-09-10 01:16:51.486226 : Epoch  7, Batch     21, Loss  0.550551, Average Loss  0.543048, Time  0.268538
2021-09-10 01:16:51.539792 : Epoch  8, Batch    881, Loss  0.886020, Average Loss  0.868747, Time  0.367035
2021-09-10 01:16:53.349874 : Epoch  7, Batch     22, Loss  0.550462, Average Loss  0.543164, Time  0.258134
2021-09-10 01:16:53.420794 : Epoch  8, Batch    882, Loss  0.850752, Average Loss  0.868756, Time  0.452065
2021-09-10 01:16:55.200768 : Epoch  8, Batch    883, Loss  0.829030, Average Loss  0.868479, Time  0.349797
2021-09-10 01:16:55.231667 : Epoch  7, Batch     23, Loss  0.541940, Average Loss  0.543242, Time  0.264256
2021-09-10 01:16:56.972789 : Epoch  8, Batch    884, Loss  0.879970, Average Loss  0.868523, Time  0.357102
2021-09-10 01:16:57.140986 : Epoch  7, Batch     24, Loss  0.526345, Average Loss  0.543119, Time  0.260902
2021-09-10 01:16:58.760808 : Epoch  8, Batch    885, Loss  0.836643, Average Loss  0.868378, Time  0.368331
2021-09-10 01:16:59.010669 : Epoch  7, Batch     25, Loss  0.528929, Average Loss  0.543057, Time  0.264792
2021-09-10 01:17:00.646782 : Epoch  8, Batch    886, Loss  0.901229, Average Loss  0.868407, Time  0.448951
2021-09-10 01:17:00.886763 : Epoch  7, Batch     26, Loss  0.513926, Average Loss  0.542870, Time  0.267274
2021-09-10 01:17:02.420941 : Epoch  8, Batch    887, Loss  0.879141, Average Loss  0.868445, Time  0.359740
2021-09-10 01:17:02.793775 : Epoch  7, Batch     27, Loss  0.550459, Average Loss  0.542909, Time  0.261019
2021-09-10 01:17:04.215785 : Epoch  8, Batch    888, Loss  0.839138, Average Loss  0.868207, Time  0.358706
2021-09-10 01:17:04.687938 : Epoch  7, Batch     28, Loss  0.542449, Average Loss  0.542956, Time  0.267586
2021-09-10 01:17:06.026763 : Epoch  8, Batch    889, Loss  0.848994, Average Loss  0.868074, Time  0.366404
2021-09-10 01:17:06.560927 : Epoch  7, Batch     29, Loss  0.551745, Average Loss  0.543048, Time  0.259726
2021-09-10 01:17:07.924768 : Epoch  8, Batch    890, Loss  0.887741, Average Loss  0.868157, Time  0.452391
2021-09-10 01:17:08.442666 : Epoch  7, Batch     30, Loss  0.544584, Average Loss  0.542996, Time  0.259354
2021-09-10 01:17:09.807782 : Epoch  8, Batch    891, Loss  0.836707, Average Loss  0.867852, Time  0.405862
2021-09-10 01:17:10.317831 : Epoch  7, Batch     31, Loss  0.550812, Average Loss  0.543006, Time  0.258401
2021-09-10 01:17:11.578765 : Epoch  8, Batch    892, Loss  0.842116, Average Loss  0.867802, Time  0.357169
2021-09-10 01:17:12.202092 : Epoch  7, Batch     32, Loss  0.546491, Average Loss  0.543058, Time  0.259583
2021-09-10 01:17:13.369788 : Epoch  8, Batch    893, Loss  0.853760, Average Loss  0.867856, Time  0.354958
2021-09-10 01:17:14.089874 : Epoch  7, Batch     33, Loss  0.549883, Average Loss  0.543056, Time  0.259118
2021-09-10 01:17:15.254767 : Epoch  8, Batch    894, Loss  0.894620, Average Loss  0.868105, Time  0.420568
2021-09-10 01:17:15.958642 : Epoch  7, Batch     34, Loss  0.536574, Average Loss  0.543025, Time  0.258130
2021-09-10 01:17:17.142675 : Epoch  8, Batch    895, Loss  0.876959, Average Loss  0.867980, Time  0.456706
2021-09-10 01:17:17.832827 : Epoch  7, Batch     35, Loss  0.556466, Average Loss  0.543158, Time  0.259280
2021-09-10 01:17:18.954784 : Epoch  8, Batch    896, Loss  0.846054, Average Loss  0.867924, Time  0.354285
2021-09-10 01:17:19.759007 : Epoch  7, Batch     36, Loss  0.533486, Average Loss  0.543137, Time  0.267180
2021-09-10 01:17:20.766781 : Epoch  8, Batch    897, Loss  0.866729, Average Loss  0.867802, Time  0.378045
2021-09-10 01:17:21.643895 : Epoch  7, Batch     37, Loss  0.545115, Average Loss  0.543158, Time  0.261370
2021-09-10 01:17:22.571006 : Epoch  8, Batch    898, Loss  0.841187, Average Loss  0.867797, Time  0.356913
2021-09-10 01:17:23.524800 : Epoch  7, Batch     38, Loss  0.537948, Average Loss  0.543161, Time  0.259631
2021-09-10 01:17:24.484789 : Epoch  8, Batch    899, Loss  0.858075, Average Loss  0.867913, Time  0.465392
2021-09-10 01:17:25.426917 : Epoch  7, Batch     39, Loss  0.555653, Average Loss  0.543202, Time  0.262207
2021-09-10 01:17:26.364150 : Epoch  8, Batch    900, Loss  0.876710, Average Loss  0.867959, Time  0.437912
2021-09-10 01:17:27.341762 : Epoch  7, Batch     40, Loss  0.539919, Average Loss  0.543183, Time  0.268925
2021-09-10 01:17:28.176826 : Epoch  8, Batch    901, Loss  0.871690, Average Loss  0.867874, Time  0.365124
2021-09-10 01:17:29.240476 : Epoch  7, Batch     41, Loss  0.534536, Average Loss  0.543134, Time  0.262679
2021-09-10 01:17:29.972786 : Epoch  8, Batch    902, Loss  0.835566, Average Loss  0.867679, Time  0.356242
2021-09-10 01:17:31.143818 : Epoch  7, Batch     42, Loss  0.550005, Average Loss  0.543141, Time  0.261406
2021-09-10 01:17:31.832786 : Epoch  8, Batch    903, Loss  0.866509, Average Loss  0.867601, Time  0.410490
2021-09-10 01:17:33.020793 : Epoch  7, Batch     43, Loss  0.536283, Average Loss  0.543076, Time  0.261446
2021-09-10 01:17:33.729825 : Epoch  8, Batch    904, Loss  0.813990, Average Loss  0.867284, Time  0.450590
2021-09-10 01:17:34.908871 : Epoch  7, Batch     44, Loss  0.541943, Average Loss  0.543059, Time  0.265497
2021-09-10 01:17:35.523790 : Epoch  8, Batch    905, Loss  0.871873, Average Loss  0.867293, Time  0.349999
2021-09-10 01:17:36.793869 : Epoch  7, Batch     45, Loss  0.549862, Average Loss  0.543124, Time  0.262509
2021-09-10 01:17:37.322095 : Epoch  8, Batch    906, Loss  0.885797, Average Loss  0.867481, Time  0.356942
2021-09-10 01:17:38.685776 : Epoch  7, Batch     46, Loss  0.543570, Average Loss  0.543090, Time  0.262710
2021-09-10 01:17:39.124921 : Epoch  8, Batch    907, Loss  0.900525, Average Loss  0.867566, Time  0.355889
2021-09-10 01:17:40.597793 : Epoch  7, Batch     47, Loss  0.541800, Average Loss  0.543040, Time  0.265310
2021-09-10 01:17:41.016783 : Epoch  8, Batch    908, Loss  0.866154, Average Loss  0.867454, Time  0.451173
2021-09-10 01:17:42.490152 : Epoch  7, Batch     48, Loss  0.541295, Average Loss  0.543031, Time  0.267387
2021-09-10 01:17:42.807782 : Epoch  8, Batch    909, Loss  0.875110, Average Loss  0.867542, Time  0.349006
2021-09-10 01:17:44.409229 : Epoch  7, Batch     49, Loss  0.544461, Average Loss  0.543080, Time  0.261147
2021-09-10 01:17:44.606759 : Epoch  8, Batch    910, Loss  0.854064, Average Loss  0.867458, Time  0.359791
2021-09-10 01:17:46.289819 : Epoch  7, Batch     50, Loss  0.550531, Average Loss  0.543118, Time  0.258431
2021-09-10 01:17:46.406778 : Epoch  8, Batch    911, Loss  0.884124, Average Loss  0.867508, Time  0.356554
2021-09-10 01:17:48.196820 : Epoch  7, Batch     51, Loss  0.529404, Average Loss  0.543076, Time  0.257910
2021-09-10 01:17:48.299789 : Epoch  8, Batch    912, Loss  0.873445, Average Loss  0.867632, Time  0.450509
2021-09-10 01:17:50.081783 : Epoch  8, Batch    913, Loss  0.867878, Average Loss  0.867707, Time  0.356326
2021-09-10 01:17:50.124858 : Epoch  7, Batch     52, Loss  0.551235, Average Loss  0.543151, Time  0.259356
2021-09-10 01:17:51.893771 : Epoch  8, Batch    914, Loss  0.866214, Average Loss  0.867610, Time  0.358805
2021-09-10 01:17:52.037981 : Epoch  7, Batch     53, Loss  0.537875, Average Loss  0.543074, Time  0.258258
2021-09-10 01:17:53.682789 : Epoch  8, Batch    915, Loss  0.855629, Average Loss  0.867524, Time  0.370178
2021-09-10 01:17:53.926555 : Epoch  7, Batch     54, Loss  0.550243, Average Loss  0.543121, Time  0.269747
2021-09-10 01:17:55.550845 : Epoch  8, Batch    916, Loss  0.859618, Average Loss  0.867514, Time  0.455663
2021-09-10 01:17:55.828784 : Epoch  7, Batch     55, Loss  0.539151, Average Loss  0.543062, Time  0.266676
2021-09-10 01:17:57.337785 : Epoch  8, Batch    917, Loss  0.864089, Average Loss  0.867362, Time  0.356172
2021-09-10 01:17:57.728811 : Epoch  7, Batch     56, Loss  0.527002, Average Loss  0.543030, Time  0.258307
2021-09-10 01:17:59.136766 : Epoch  8, Batch    918, Loss  0.855683, Average Loss  0.867250, Time  0.357061
2021-09-10 01:17:59.607805 : Epoch  7, Batch     57, Loss  0.536206, Average Loss  0.542997, Time  0.258781
2021-09-10 01:18:00.952861 : Epoch  8, Batch    919, Loss  0.829514, Average Loss  0.867132, Time  0.375637
2021-09-10 01:18:01.499794 : Epoch  7, Batch     58, Loss  0.530157, Average Loss  0.542919, Time  0.263501
2021-09-10 01:18:02.844770 : Epoch  8, Batch    920, Loss  0.865005, Average Loss  0.867165, Time  0.451998
2021-09-10 01:18:03.388987 : Epoch  7, Batch     59, Loss  0.547784, Average Loss  0.542922, Time  0.262503
2021-09-10 01:18:04.632099 : Epoch  8, Batch    921, Loss  0.918118, Average Loss  0.867197, Time  0.343323
2021-09-10 01:18:05.265276 : Epoch  7, Batch     60, Loss  0.547514, Average Loss  0.542810, Time  0.258127
2021-09-10 01:18:06.424786 : Epoch  8, Batch    922, Loss  0.864886, Average Loss  0.867103, Time  0.355286
2021-09-10 01:18:07.167855 : Epoch  7, Batch     61, Loss  0.541786, Average Loss  0.542759, Time  0.264898
2021-09-10 01:18:08.220765 : Epoch  8, Batch    923, Loss  0.868729, Average Loss  0.867020, Time  0.356552
2021-09-10 01:18:09.090004 : Epoch  7, Batch     62, Loss  0.542575, Average Loss  0.542710, Time  0.268192
2021-09-10 01:18:11.025143 : Epoch  7, Batch     63, Loss  0.535892, Average Loss  0.542700, Time  0.265741
2021-09-10 01:18:12.919433 : Epoch  7, Batch     64, Loss  0.527389, Average Loss  0.542612, Time  0.264950
2021-09-10 01:18:14.804766 : Epoch  7, Batch     65, Loss  0.531828, Average Loss  0.542531, Time  0.262837
2021-09-10 01:18:16.710771 : Epoch  7, Batch     66, Loss  0.548442, Average Loss  0.542523, Time  0.265426
2021-09-10 01:18:18.615825 : Epoch  7, Batch     67, Loss  0.547922, Average Loss  0.542528, Time  0.262274
2021-09-10 01:18:20.546091 : Epoch  7, Batch     68, Loss  0.538631, Average Loss  0.542458, Time  0.279765
2021-09-10 01:18:22.439821 : Epoch  7, Batch     69, Loss  0.537077, Average Loss  0.542337, Time  0.258165
2021-09-10 01:18:24.317890 : Epoch  7, Batch     70, Loss  0.534697, Average Loss  0.542315, Time  0.262135
2021-09-10 01:18:26.188332 : Epoch  7, Batch     71, Loss  0.552059, Average Loss  0.542363, Time  0.261925
2021-09-10 01:18:28.087104 : Epoch  7, Batch     72, Loss  0.537096, Average Loss  0.542319, Time  0.261566
2021-09-10 01:18:29.995819 : Epoch  7, Batch     73, Loss  0.536782, Average Loss  0.542297, Time  0.269800
2021-09-10 01:18:31.881949 : Epoch  7, Batch     74, Loss  0.547405, Average Loss  0.542360, Time  0.258845
2021-09-10 01:18:33.747120 : Epoch  7, Batch     75, Loss  0.535447, Average Loss  0.542364, Time  0.261312
2021-09-10 01:18:35.625803 : Epoch  7, Batch     76, Loss  0.530724, Average Loss  0.542308, Time  0.262102
2021-09-10 01:18:37.528818 : Epoch  7, Batch     77, Loss  0.542266, Average Loss  0.542304, Time  0.258137
2021-09-10 01:18:39.435062 : Epoch  7, Batch     78, Loss  0.530307, Average Loss  0.542183, Time  0.257803
2021-09-10 01:19:49.180211 : CheckPoint: Validation Loss  0.00022639, Best Loss  0.00022031
2021-09-10 01:19:51.094857 : Epoch  7, Batch     79, Loss  0.539933, Average Loss  0.542143, Time  0.267432
2021-09-10 01:19:53.010034 : Epoch  7, Batch     80, Loss  0.539725, Average Loss  0.542145, Time  0.258311
2021-09-10 01:19:54.943793 : Epoch  7, Batch     81, Loss  0.544916, Average Loss  0.542192, Time  0.258492
2021-09-10 01:19:56.861864 : Epoch  7, Batch     82, Loss  0.550621, Average Loss  0.542178, Time  0.257966
2021-09-10 01:19:58.776766 : Epoch  7, Batch     83, Loss  0.544413, Average Loss  0.542221, Time  0.260118
2021-09-10 01:20:00.688048 : Epoch  7, Batch     84, Loss  0.545056, Average Loss  0.542209, Time  0.257633
2021-09-10 01:20:02.603862 : Epoch  7, Batch     85, Loss  0.539418, Average Loss  0.542210, Time  0.257955
2021-09-10 01:20:04.531832 : Epoch  7, Batch     86, Loss  0.529439, Average Loss  0.542129, Time  0.257807
2021-09-10 01:20:06.443070 : Epoch  7, Batch     87, Loss  0.535223, Average Loss  0.542115, Time  0.257908
2021-09-10 01:20:08.352841 : Epoch  7, Batch     88, Loss  0.535258, Average Loss  0.542064, Time  0.258236
2021-09-10 01:20:10.276058 : Epoch  7, Batch     89, Loss  0.545288, Average Loss  0.542098, Time  0.257616
2021-09-10 01:20:12.179907 : Epoch  7, Batch     90, Loss  0.536398, Average Loss  0.542074, Time  0.258394
2021-09-10 01:20:14.101797 : Epoch  7, Batch     91, Loss  0.544091, Average Loss  0.542129, Time  0.258597
2021-09-10 01:20:16.000836 : Epoch  7, Batch     92, Loss  0.535688, Average Loss  0.542061, Time  0.257548
2021-09-10 01:20:17.898817 : Epoch  7, Batch     93, Loss  0.539201, Average Loss  0.542104, Time  0.258680
2021-09-10 01:20:19.787011 : Epoch  7, Batch     94, Loss  0.549260, Average Loss  0.542130, Time  0.258362
2021-09-10 01:20:21.672795 : Epoch  7, Batch     95, Loss  0.545127, Average Loss  0.542195, Time  0.258706
2021-09-10 01:20:23.572078 : Epoch  7, Batch     96, Loss  0.541439, Average Loss  0.542207, Time  0.260087
2021-09-10 01:20:25.467783 : Epoch  7, Batch     97, Loss  0.533642, Average Loss  0.542184, Time  0.259062
2021-09-10 01:20:27.359088 : Epoch  7, Batch     98, Loss  0.535370, Average Loss  0.542126, Time  0.268201
2021-09-10 01:20:29.271761 : Epoch  7, Batch     99, Loss  0.541456, Average Loss  0.542111, Time  0.258950
2021-09-10 01:20:31.158804 : Epoch  7, Batch    100, Loss  0.543475, Average Loss  0.542073, Time  0.264824
2021-09-10 01:20:33.034102 : Epoch  7, Batch    101, Loss  0.546134, Average Loss  0.542071, Time  0.269557
2021-09-10 01:20:34.908083 : Epoch  7, Batch    102, Loss  0.532333, Average Loss  0.542006, Time  0.263853
2021-09-10 01:20:36.797839 : Epoch  7, Batch    103, Loss  0.540026, Average Loss  0.541985, Time  0.264958
2021-09-10 01:20:38.659334 : Epoch  7, Batch    104, Loss  0.537252, Average Loss  0.541948, Time  0.260958
2021-09-10 01:20:40.529814 : Epoch  7, Batch    105, Loss  0.535977, Average Loss  0.541842, Time  0.261933
2021-09-10 01:20:42.414174 : Epoch  7, Batch    106, Loss  0.525580, Average Loss  0.541711, Time  0.275971
2021-09-10 01:20:44.332812 : Epoch  7, Batch    107, Loss  0.548511, Average Loss  0.541757, Time  0.262891
2021-09-10 01:20:46.209973 : Epoch  7, Batch    108, Loss  0.558552, Average Loss  0.541793, Time  0.261482
2021-09-10 01:20:48.109805 : Epoch  7, Batch    109, Loss  0.560836, Average Loss  0.541930, Time  0.258887
2021-09-10 01:20:50.030911 : Epoch  7, Batch    110, Loss  0.534205, Average Loss  0.541863, Time  0.260518
2021-09-10 01:20:51.916092 : Epoch  7, Batch    111, Loss  0.537639, Average Loss  0.541880, Time  0.262172
2021-09-10 01:20:53.818973 : Epoch  7, Batch    112, Loss  0.534399, Average Loss  0.541815, Time  0.263210
2021-09-10 01:20:55.689897 : Epoch  7, Batch    113, Loss  0.545523, Average Loss  0.541834, Time  0.266916
2021-09-10 01:20:57.548707 : Epoch  7, Batch    114, Loss  0.532288, Average Loss  0.541796, Time  0.258358
2021-09-10 01:20:59.448952 : Epoch  7, Batch    115, Loss  0.534988, Average Loss  0.541757, Time  0.260593
2021-09-10 01:21:01.354090 : Epoch  7, Batch    116, Loss  0.551134, Average Loss  0.541829, Time  0.258607
2021-09-10 01:21:03.244883 : Epoch  7, Batch    117, Loss  0.535990, Average Loss  0.541810, Time  0.258242
2021-09-10 01:21:05.145868 : Epoch  7, Batch    118, Loss  0.549197, Average Loss  0.541913, Time  0.264829
2021-09-10 01:21:07.046928 : Epoch  7, Batch    119, Loss  0.538816, Average Loss  0.541869, Time  0.258686
2021-09-10 01:21:08.918934 : Epoch  7, Batch    120, Loss  0.549425, Average Loss  0.541981, Time  0.258449
2021-09-10 01:21:10.805814 : Epoch  7, Batch    121, Loss  0.560820, Average Loss  0.542023, Time  0.260346
2021-09-10 01:21:12.720096 : Epoch  7, Batch    122, Loss  0.537568, Average Loss  0.541997, Time  0.258335
2021-09-10 01:21:14.612100 : Epoch  7, Batch    123, Loss  0.542798, Average Loss  0.542007, Time  0.261359
2021-09-10 01:21:16.490768 : Epoch  7, Batch    124, Loss  0.533832, Average Loss  0.542044, Time  0.262549
2021-09-10 01:21:18.375215 : Epoch  7, Batch    125, Loss  0.539109, Average Loss  0.542035, Time  0.262144
2021-09-10 01:21:20.259942 : Epoch  7, Batch    126, Loss  0.538407, Average Loss  0.541963, Time  0.263535
2021-09-10 01:21:22.163866 : Epoch  7, Batch    127, Loss  0.542419, Average Loss  0.541930, Time  0.268114
2021-09-10 01:21:24.044861 : Epoch  7, Batch    128, Loss  0.532862, Average Loss  0.541877, Time  0.258089
2021-09-10 01:21:25.923905 : Epoch  7, Batch    129, Loss  0.531484, Average Loss  0.541908, Time  0.259021
2021-09-10 01:21:27.819080 : Epoch  7, Batch    130, Loss  0.534612, Average Loss  0.541886, Time  0.259187
2021-09-10 01:21:29.720106 : Epoch  7, Batch    131, Loss  0.540091, Average Loss  0.541811, Time  0.260465
2021-09-10 01:21:31.593833 : Epoch  7, Batch    132, Loss  0.531903, Average Loss  0.541721, Time  0.262843
2021-09-10 01:21:33.479088 : Epoch  7, Batch    133, Loss  0.534026, Average Loss  0.541700, Time  0.266581
2021-09-10 01:21:35.348840 : Epoch  7, Batch    134, Loss  0.528723, Average Loss  0.541635, Time  0.258947
2021-09-10 01:21:37.227090 : Epoch  7, Batch    135, Loss  0.550916, Average Loss  0.541673, Time  0.259414
2021-09-10 01:21:39.112090 : Epoch  7, Batch    136, Loss  0.552852, Average Loss  0.541693, Time  0.261276
2021-09-10 01:21:41.025401 : Epoch  7, Batch    137, Loss  0.555945, Average Loss  0.541696, Time  0.266040
2021-09-10 01:21:42.896981 : Epoch  7, Batch    138, Loss  0.539116, Average Loss  0.541750, Time  0.265059
2021-09-10 01:21:44.796786 : Epoch  7, Batch    139, Loss  0.537885, Average Loss  0.541743, Time  0.258136
2021-09-10 01:21:46.680083 : Epoch  7, Batch    140, Loss  0.552442, Average Loss  0.541816, Time  0.266904
2021-09-10 01:21:48.591156 : Epoch  7, Batch    141, Loss  0.538236, Average Loss  0.541742, Time  0.265870
2021-09-10 01:21:50.505971 : Epoch  7, Batch    142, Loss  0.538454, Average Loss  0.541661, Time  0.260600
2021-09-10 01:21:52.382837 : Epoch  7, Batch    143, Loss  0.542513, Average Loss  0.541676, Time  0.258228
2021-09-10 01:21:54.272046 : Epoch  7, Batch    144, Loss  0.538285, Average Loss  0.541564, Time  0.264533
2021-09-10 01:21:56.158098 : Epoch  7, Batch    145, Loss  0.552425, Average Loss  0.541636, Time  0.267184
2021-09-10 01:21:58.042945 : Epoch  7, Batch    146, Loss  0.546497, Average Loss  0.541590, Time  0.258758
2021-09-10 01:21:59.920813 : Epoch  7, Batch    147, Loss  0.526788, Average Loss  0.541520, Time  0.258434
2021-09-10 01:22:01.827806 : Epoch  7, Batch    148, Loss  0.557485, Average Loss  0.541605, Time  0.262021
2021-09-10 01:22:05.827857 : Epoch  7, Batch    149, Loss  0.537702, Average Loss  0.541637, Time  0.279888
2021-09-10 01:22:07.714091 : Epoch  7, Batch    150, Loss  0.532764, Average Loss  0.541639, Time  0.258399
2021-09-10 01:22:09.589825 : Epoch  7, Batch    151, Loss  0.533838, Average Loss  0.541606, Time  0.258693
2021-09-10 01:22:11.498788 : Epoch  7, Batch    152, Loss  0.545386, Average Loss  0.541620, Time  0.264587
2021-09-10 01:22:13.375966 : Epoch  7, Batch    153, Loss  0.547662, Average Loss  0.541604, Time  0.259425
2021-09-10 01:22:15.285082 : Epoch  7, Batch    154, Loss  0.545722, Average Loss  0.541657, Time  0.267895
2021-09-10 01:22:17.196096 : Epoch  7, Batch    155, Loss  0.533142, Average Loss  0.541577, Time  0.266010
2021-09-10 01:22:19.094849 : Epoch  7, Batch    156, Loss  0.552462, Average Loss  0.541671, Time  0.258338
2021-09-10 01:22:20.981984 : Epoch  7, Batch    157, Loss  0.542424, Average Loss  0.541695, Time  0.263188
2021-09-10 01:22:22.842234 : Epoch  7, Batch    158, Loss  0.543850, Average Loss  0.541683, Time  0.258597
2021-09-10 01:22:24.723769 : Epoch  7, Batch    159, Loss  0.548537, Average Loss  0.541727, Time  0.261311
2021-09-10 01:22:26.624789 : Epoch  7, Batch    160, Loss  0.527636, Average Loss  0.541635, Time  0.261740
2021-09-10 01:22:28.528934 : Epoch  7, Batch    161, Loss  0.546584, Average Loss  0.541644, Time  0.258453
2021-09-10 01:22:30.444117 : Epoch  7, Batch    162, Loss  0.531322, Average Loss  0.541620, Time  0.273820
2021-09-10 01:22:32.323021 : Epoch  7, Batch    163, Loss  0.555110, Average Loss  0.541681, Time  0.260525
2021-09-10 01:22:34.203889 : Epoch  7, Batch    164, Loss  0.536541, Average Loss  0.541658, Time  0.272289
2021-09-10 01:22:36.105121 : Epoch  7, Batch    165, Loss  0.527274, Average Loss  0.541571, Time  0.260175
2021-09-10 01:22:38.006903 : Epoch  7, Batch    166, Loss  0.529591, Average Loss  0.541528, Time  0.262734
2021-09-10 01:22:39.886089 : Epoch  7, Batch    167, Loss  0.542816, Average Loss  0.541511, Time  0.258417
2021-09-10 01:22:41.766786 : Epoch  7, Batch    168, Loss  0.542996, Average Loss  0.541478, Time  0.263194
2021-09-10 01:22:43.636964 : Epoch  7, Batch    169, Loss  0.542283, Average Loss  0.541520, Time  0.268750
2021-09-10 01:22:45.537091 : Epoch  7, Batch    170, Loss  0.547631, Average Loss  0.541561, Time  0.273654
2021-09-10 01:22:47.439086 : Epoch  7, Batch    171, Loss  0.543558, Average Loss  0.541611, Time  0.261680
2021-09-10 01:22:49.349789 : Epoch  7, Batch    172, Loss  0.535655, Average Loss  0.541606, Time  0.263705
2021-09-10 01:22:51.279952 : Epoch  7, Batch    173, Loss  0.549623, Average Loss  0.541621, Time  0.267219
2021-09-10 01:22:53.145682 : Epoch  7, Batch    174, Loss  0.531833, Average Loss  0.541526, Time  0.262262
2021-09-10 01:22:55.017922 : Epoch  7, Batch    175, Loss  0.536765, Average Loss  0.541513, Time  0.261990
2021-09-10 01:22:56.919832 : Epoch  7, Batch    176, Loss  0.541346, Average Loss  0.541493, Time  0.265407
2021-09-10 01:22:58.830101 : Epoch  7, Batch    177, Loss  0.541585, Average Loss  0.541523, Time  0.262327
2021-09-10 01:22:59.949710 : CheckPoint: Validation Loss  0.00058955, Best Loss  0.00056427
2021-09-10 01:23:00.734819 : Epoch  7, Batch    178, Loss  0.521069, Average Loss  0.541476, Time  0.264995
2021-09-10 01:23:01.750954 : Epoch  8, Batch    924, Loss  0.892496, Average Loss  0.867180, Time  0.358531
2021-09-10 01:23:03.609788 : Epoch  8, Batch    925, Loss  0.824923, Average Loss  0.867039, Time  0.399660
2021-09-10 01:23:05.513790 : Epoch  8, Batch    926, Loss  0.867297, Average Loss  0.866969, Time  0.449868
2021-09-10 01:23:07.292060 : Epoch  8, Batch    927, Loss  0.857066, Average Loss  0.866845, Time  0.334193
2021-09-10 01:23:09.121782 : Epoch  8, Batch    928, Loss  0.878102, Average Loss  0.866922, Time  0.355583
2021-09-10 01:23:10.934766 : Epoch  8, Batch    929, Loss  0.881076, Average Loss  0.867052, Time  0.358104
2021-09-10 01:23:12.850780 : Epoch  8, Batch    930, Loss  0.882196, Average Loss  0.867042, Time  0.452568
2021-09-10 01:23:14.763793 : Epoch  8, Batch    931, Loss  0.841500, Average Loss  0.866877, Time  0.447697
2021-09-10 01:23:16.578948 : Epoch  8, Batch    932, Loss  0.852816, Average Loss  0.866704, Time  0.356938
2021-09-10 01:23:18.401778 : Epoch  8, Batch    933, Loss  0.874731, Average Loss  0.866532, Time  0.356550
2021-09-10 01:23:20.255783 : Epoch  8, Batch    934, Loss  0.854443, Average Loss  0.866421, Time  0.401052
2021-09-10 01:23:22.140246 : Epoch  8, Batch    935, Loss  0.856888, Average Loss  0.866417, Time  0.449085
2021-09-10 01:23:23.900248 : Epoch  8, Batch    936, Loss  0.866611, Average Loss  0.866375, Time  0.350203
2021-09-10 01:23:25.703240 : Epoch  8, Batch    937, Loss  0.860105, Average Loss  0.866263, Time  0.364653
2021-09-10 01:23:27.500826 : Epoch  8, Batch    938, Loss  0.860727, Average Loss  0.866324, Time  0.363505
2021-09-10 01:23:29.353979 : Epoch  8, Batch    939, Loss  0.876674, Average Loss  0.866146, Time  0.456203
2021-09-10 01:23:31.161775 : Epoch  8, Batch    940, Loss  0.876354, Average Loss  0.866195, Time  0.366549
2021-09-10 01:23:32.962819 : Epoch  8, Batch    941, Loss  0.892111, Average Loss  0.866458, Time  0.358010
2021-09-10 01:23:34.749796 : Epoch  8, Batch    942, Loss  0.883347, Average Loss  0.866584, Time  0.365953
2021-09-10 01:23:36.650776 : Epoch  8, Batch    943, Loss  0.906371, Average Loss  0.866904, Time  0.477618
2021-09-10 01:23:38.438783 : Epoch  8, Batch    944, Loss  0.876612, Average Loss  0.866905, Time  0.357033
2021-09-10 01:23:40.235784 : Epoch  8, Batch    945, Loss  0.888152, Average Loss  0.867025, Time  0.357062
2021-09-10 01:23:42.031372 : Epoch  8, Batch    946, Loss  0.872586, Average Loss  0.867093, Time  0.360939
2021-09-10 01:23:43.898851 : Epoch  8, Batch    947, Loss  0.864056, Average Loss  0.867142, Time  0.460775
2021-09-10 01:23:45.722786 : Epoch  8, Batch    948, Loss  0.845715, Average Loss  0.867098, Time  0.382769
2021-09-10 01:23:47.562106 : Epoch  8, Batch    949, Loss  0.880308, Average Loss  0.867109, Time  0.371598
2021-09-10 01:23:49.345787 : Epoch  8, Batch    950, Loss  0.882952, Average Loss  0.867100, Time  0.362662
2021-09-10 01:23:51.249014 : Epoch  8, Batch    951, Loss  0.872423, Average Loss  0.867064, Time  0.452658
2021-09-10 01:23:53.174767 : Epoch  8, Batch    952, Loss  0.863276, Average Loss  0.866893, Time  0.416673
2021-09-10 01:23:54.966193 : Epoch  8, Batch    953, Loss  0.902565, Average Loss  0.867137, Time  0.361387
2021-09-10 01:23:56.768038 : Epoch  8, Batch    954, Loss  0.861823, Average Loss  0.866965, Time  0.374546
2021-09-10 01:23:58.606784 : Epoch  8, Batch    955, Loss  0.826519, Average Loss  0.866783, Time  0.416583
2021-09-10 01:24:00.541789 : Epoch  8, Batch    956, Loss  0.889039, Average Loss  0.866935, Time  0.458812
2021-09-10 01:24:02.419790 : Epoch  8, Batch    957, Loss  0.872061, Average Loss  0.866794, Time  0.406701
2021-09-10 01:24:04.243129 : Epoch  8, Batch    958, Loss  0.839058, Average Loss  0.866635, Time  0.363840
2021-09-10 01:24:06.063782 : Epoch  8, Batch    959, Loss  0.818077, Average Loss  0.866303, Time  0.365779
2021-09-10 01:24:07.913313 : Epoch  8, Batch    960, Loss  0.876788, Average Loss  0.866422, Time  0.414665
2021-09-10 01:24:09.796930 : Epoch  8, Batch    961, Loss  0.868575, Average Loss  0.866432, Time  0.461485
2021-09-10 01:24:10.474784 : CheckPoint: Validation Loss  0.00022714, Best Loss  0.00022031
2021-09-10 01:24:11.603108 : Epoch  8, Batch    962, Loss  0.844150, Average Loss  0.866306, Time  0.357286
2021-09-10 01:24:12.395071 : Epoch  7, Batch    179, Loss  0.537630, Average Loss  0.541542, Time  0.267054
2021-09-10 01:24:13.377790 : Epoch  8, Batch    963, Loss  0.863002, Average Loss  0.866280, Time  0.367474
2021-09-10 01:24:14.263444 : Epoch  7, Batch    180, Loss  0.543613, Average Loss  0.541457, Time  0.258606
2021-09-10 01:24:15.191780 : Epoch  8, Batch    964, Loss  0.891505, Average Loss  0.866396, Time  0.382838
2021-09-10 01:24:16.147788 : Epoch  7, Batch    181, Loss  0.527492, Average Loss  0.541347, Time  0.258682
2021-09-10 01:24:17.092788 : Epoch  8, Batch    965, Loss  0.866217, Average Loss  0.866422, Time  0.453182
2021-09-10 01:24:18.066082 : Epoch  7, Batch    182, Loss  0.533040, Average Loss  0.541304, Time  0.270893
2021-09-10 01:24:18.870766 : Epoch  8, Batch    966, Loss  0.909726, Average Loss  0.866725, Time  0.355614
2021-09-10 01:24:19.949078 : Epoch  7, Batch    183, Loss  0.544378, Average Loss  0.541334, Time  0.258092
2021-09-10 01:24:20.655780 : Epoch  8, Batch    967, Loss  0.864137, Average Loss  0.866789, Time  0.358598
2021-09-10 01:24:21.830005 : Epoch  7, Batch    184, Loss  0.542360, Average Loss  0.541362, Time  0.258642
2021-09-10 01:24:22.428509 : Epoch  8, Batch    968, Loss  0.860738, Average Loss  0.866858, Time  0.371391
2021-09-10 01:24:23.721393 : Epoch  7, Batch    185, Loss  0.553596, Average Loss  0.541328, Time  0.262260
2021-09-10 01:24:24.297266 : Epoch  8, Batch    969, Loss  0.884304, Average Loss  0.866923, Time  0.461074
2021-09-10 01:24:25.614073 : Epoch  7, Batch    186, Loss  0.530960, Average Loss  0.541246, Time  0.262607
2021-09-10 01:24:26.072088 : Epoch  8, Batch    970, Loss  0.878189, Average Loss  0.867150, Time  0.370214
2021-09-10 01:24:27.507121 : Epoch  7, Batch    187, Loss  0.544068, Average Loss  0.541217, Time  0.259470
2021-09-10 01:24:27.877786 : Epoch  8, Batch    971, Loss  0.849774, Average Loss  0.867071, Time  0.356029
2021-09-10 01:24:29.397772 : Epoch  7, Batch    188, Loss  0.544523, Average Loss  0.541204, Time  0.265590
2021-09-10 01:24:29.691783 : Epoch  8, Batch    972, Loss  0.866071, Average Loss  0.867122, Time  0.381839
2021-09-10 01:24:31.268068 : Epoch  7, Batch    189, Loss  0.552727, Average Loss  0.541143, Time  0.258846
2021-09-10 01:24:31.569161 : Epoch  8, Batch    973, Loss  0.873642, Average Loss  0.866981, Time  0.461655
2021-09-10 01:24:33.159867 : Epoch  7, Batch    190, Loss  0.552364, Average Loss  0.541198, Time  0.261793
2021-09-10 01:24:33.371761 : Epoch  8, Batch    974, Loss  0.853940, Average Loss  0.866763, Time  0.350809
2021-09-10 01:24:35.060936 : Epoch  7, Batch    191, Loss  0.534137, Average Loss  0.541169, Time  0.262674
2021-09-10 01:24:35.143436 : Epoch  8, Batch    975, Loss  0.871153, Average Loss  0.866633, Time  0.367286
2021-09-10 01:24:36.936842 : Epoch  7, Batch    192, Loss  0.539350, Average Loss  0.541197, Time  0.258416
2021-09-10 01:24:37.009056 : Epoch  8, Batch    976, Loss  0.807470, Average Loss  0.866379, Time  0.384528
2021-09-10 01:24:38.829757 : Epoch  7, Batch    193, Loss  0.537150, Average Loss  0.541167, Time  0.258175
2021-09-10 01:24:38.904792 : Epoch  8, Batch    977, Loss  0.890216, Average Loss  0.866693, Time  0.451032
2021-09-10 01:24:40.698987 : Epoch  7, Batch    194, Loss  0.547480, Average Loss  0.541132, Time  0.258670
2021-09-10 01:24:40.755794 : Epoch  8, Batch    978, Loss  0.888780, Average Loss  0.866770, Time  0.405918
2021-09-10 01:24:42.530874 : Epoch  8, Batch    979, Loss  0.883187, Average Loss  0.866741, Time  0.356417
2021-09-10 01:24:42.573902 : Epoch  7, Batch    195, Loss  0.544784, Average Loss  0.541110, Time  0.264525
2021-09-10 01:24:44.334828 : Epoch  8, Batch    980, Loss  0.855127, Average Loss  0.866736, Time  0.369223
2021-09-10 01:24:44.474762 : Epoch  7, Batch    196, Loss  0.537749, Average Loss  0.541053, Time  0.266255
2021-09-10 01:24:46.213209 : Epoch  8, Batch    981, Loss  0.866459, Average Loss  0.866683, Time  0.433970
2021-09-10 01:24:46.366806 : Epoch  7, Batch    197, Loss  0.532628, Average Loss  0.541022, Time  0.270932
2021-09-10 01:24:48.122227 : Epoch  8, Batch    982, Loss  0.870215, Average Loss  0.866717, Time  0.454438
2021-09-10 01:24:48.239857 : Epoch  7, Batch    198, Loss  0.544164, Average Loss  0.540995, Time  0.265276
2021-09-10 01:24:49.921804 : Epoch  8, Batch    983, Loss  0.865029, Average Loss  0.866817, Time  0.357323
2021-09-10 01:24:50.158847 : Epoch  7, Batch    199, Loss  0.526523, Average Loss  0.540866, Time  0.268761
2021-09-10 01:24:51.728131 : Epoch  8, Batch    984, Loss  0.844173, Average Loss  0.866579, Time  0.377835
2021-09-10 01:24:52.054856 : Epoch  7, Batch    200, Loss  0.552488, Average Loss  0.540888, Time  0.261701
2021-09-10 01:24:53.516770 : Epoch  8, Batch    985, Loss  0.858974, Average Loss  0.866529, Time  0.372798
2021-09-10 01:24:53.952777 : Epoch  7, Batch    201, Loss  0.523851, Average Loss  0.540769, Time  0.267319
2021-09-10 01:24:55.406100 : Epoch  8, Batch    986, Loss  0.869384, Average Loss  0.866666, Time  0.452222
2021-09-10 01:24:55.854098 : Epoch  7, Batch    202, Loss  0.528247, Average Loss  0.540634, Time  0.270127
2021-09-10 01:24:57.177785 : Epoch  8, Batch    987, Loss  0.839630, Average Loss  0.866549, Time  0.357083
2021-09-10 01:24:57.714773 : Epoch  7, Batch    203, Loss  0.543022, Average Loss  0.540695, Time  0.258956
2021-09-10 01:24:58.956120 : Epoch  8, Batch    988, Loss  0.865777, Average Loss  0.866511, Time  0.366175
2021-09-10 01:24:59.617960 : Epoch  7, Batch    204, Loss  0.542082, Average Loss  0.540706, Time  0.258424
2021-09-10 01:25:00.739846 : Epoch  8, Batch    989, Loss  0.872131, Average Loss  0.866487, Time  0.371179
2021-09-10 01:25:01.525905 : Epoch  7, Batch    205, Loss  0.548326, Average Loss  0.540733, Time  0.262715
2021-09-10 01:25:02.635142 : Epoch  8, Batch    990, Loss  0.848527, Average Loss  0.866376, Time  0.460332
2021-09-10 01:25:03.441086 : Epoch  7, Batch    206, Loss  0.546771, Average Loss  0.540719, Time  0.269248
2021-09-10 01:25:04.418779 : Epoch  8, Batch    991, Loss  0.850250, Average Loss  0.866376, Time  0.348294
2021-09-10 01:25:05.335788 : Epoch  7, Batch    207, Loss  0.560871, Average Loss  0.540777, Time  0.265380
2021-09-10 01:25:06.178785 : Epoch  8, Batch    992, Loss  0.879180, Average Loss  0.866393, Time  0.355688
2021-09-10 01:25:07.254807 : Epoch  7, Batch    208, Loss  0.524276, Average Loss  0.540688, Time  0.258464
2021-09-10 01:25:07.965900 : Epoch  8, Batch    993, Loss  0.883277, Average Loss  0.866439, Time  0.363101
2021-09-10 01:25:09.143763 : Epoch  7, Batch    209, Loss  0.533563, Average Loss  0.540712, Time  0.261585
2021-09-10 01:25:09.834766 : Epoch  8, Batch    994, Loss  0.860282, Average Loss  0.866388, Time  0.451408
2021-09-10 01:25:11.047808 : Epoch  7, Batch    210, Loss  0.552446, Average Loss  0.540812, Time  0.264228
2021-09-10 01:25:11.627806 : Epoch  8, Batch    995, Loss  0.834436, Average Loss  0.866258, Time  0.349429
2021-09-10 01:25:12.958822 : Epoch  7, Batch    211, Loss  0.532410, Average Loss  0.540803, Time  0.266904
2021-09-10 01:25:13.453770 : Epoch  8, Batch    996, Loss  0.846291, Average Loss  0.866022, Time  0.357472
2021-09-10 01:25:14.848856 : Epoch  7, Batch    212, Loss  0.535728, Average Loss  0.540756, Time  0.261740
2021-09-10 01:25:15.251765 : Epoch  8, Batch    997, Loss  0.865684, Average Loss  0.866116, Time  0.355914
2021-09-10 01:25:16.751790 : Epoch  7, Batch    213, Loss  0.540825, Average Loss  0.540796, Time  0.261647
2021-09-10 01:25:17.133782 : Epoch  8, Batch    998, Loss  0.841774, Average Loss  0.865994, Time  0.452302
2021-09-10 01:25:18.632145 : Epoch  7, Batch    214, Loss  0.537284, Average Loss  0.540739, Time  0.264467
2021-09-10 01:25:18.937109 : Epoch  8, Batch    999, Loss  0.854839, Average Loss  0.865843, Time  0.346918
2021-09-10 01:25:20.517802 : Epoch  7, Batch    215, Loss  0.533310, Average Loss  0.540723, Time  0.263000
2021-09-10 01:25:20.733122 : Epoch  8, Batch   1000, Loss  0.867536, Average Loss  0.865843, Time  0.356382
2021-09-10 01:25:22.418092 : Epoch  7, Batch    216, Loss  0.543941, Average Loss  0.540776, Time  0.258909
2021-09-10 01:25:22.521763 : Epoch  8, Batch   1001, Loss  0.856016, Average Loss  0.865821, Time  0.356041
2021-09-10 01:25:24.344121 : Epoch  7, Batch    217, Loss  0.516743, Average Loss  0.540616, Time  0.264173
2021-09-10 01:25:24.419795 : Epoch  8, Batch   1002, Loss  0.870421, Average Loss  0.865900, Time  0.453573
2021-09-10 01:25:26.229382 : Epoch  7, Batch    218, Loss  0.535579, Average Loss  0.540598, Time  0.267044
2021-09-10 01:25:26.285774 : Epoch  8, Batch   1003, Loss  0.827347, Average Loss  0.865790, Time  0.435574
2021-09-10 01:25:28.202364 : Epoch  8, Batch   1004, Loss  0.848371, Average Loss  0.865760, Time  0.398610
2021-09-10 01:25:28.263083 : Epoch  7, Batch    219, Loss  0.531538, Average Loss  0.540533, Time  0.278584
2021-09-10 01:25:29.956621 : Epoch  8, Batch   1005, Loss  0.860607, Average Loss  0.865731, Time  0.360044
2021-09-10 01:25:30.161101 : Epoch  7, Batch    220, Loss  0.545058, Average Loss  0.540592, Time  0.266825
2021-09-10 01:25:31.807793 : Epoch  8, Batch   1006, Loss  0.883418, Average Loss  0.865824, Time  0.391333
2021-09-10 01:25:32.037928 : Epoch  7, Batch    221, Loss  0.531143, Average Loss  0.540495, Time  0.257948
2021-09-10 01:25:33.725809 : Epoch  8, Batch   1007, Loss  0.884415, Average Loss  0.865928, Time  0.466090
2021-09-10 01:25:33.950055 : Epoch  7, Batch    222, Loss  0.532367, Average Loss  0.540405, Time  0.257990
2021-09-10 01:25:35.502864 : Epoch  8, Batch   1008, Loss  0.884853, Average Loss  0.865902, Time  0.349468
2021-09-10 01:25:35.870063 : Epoch  7, Batch    223, Loss  0.529148, Average Loss  0.540341, Time  0.257725
2021-09-10 01:25:37.295791 : Epoch  8, Batch   1009, Loss  0.874472, Average Loss  0.865997, Time  0.356043
2021-09-10 01:25:37.760866 : Epoch  7, Batch    224, Loss  0.537559, Average Loss  0.540397, Time  0.260292
2021-09-10 01:25:39.103785 : Epoch  8, Batch   1010, Loss  0.881197, Average Loss  0.866012, Time  0.359279
2021-09-10 01:25:39.659837 : Epoch  7, Batch    225, Loss  0.546747, Average Loss  0.540486, Time  0.258030
2021-09-10 01:25:41.012092 : Epoch  8, Batch   1011, Loss  0.837106, Average Loss  0.865805, Time  0.451893
2021-09-10 01:25:41.600105 : Epoch  7, Batch    226, Loss  0.535593, Average Loss  0.540594, Time  0.258916
2021-09-10 01:25:42.926787 : Epoch  8, Batch   1012, Loss  0.861635, Average Loss  0.865759, Time  0.448644
2021-09-10 01:25:43.520789 : Epoch  7, Batch    227, Loss  0.542650, Average Loss  0.540555, Time  0.260094
2021-09-10 01:25:44.736767 : Epoch  8, Batch   1013, Loss  0.881638, Average Loss  0.865900, Time  0.357347
2021-09-10 01:25:45.437061 : Epoch  7, Batch    228, Loss  0.546170, Average Loss  0.540574, Time  0.258143
2021-09-10 01:25:46.540905 : Epoch  8, Batch   1014, Loss  0.863348, Average Loss  0.865885, Time  0.357118
2021-09-10 01:25:47.356079 : Epoch  7, Batch    229, Loss  0.536864, Average Loss  0.540499, Time  0.258454
2021-09-10 01:25:48.381766 : Epoch  8, Batch   1015, Loss  0.854064, Average Loss  0.865776, Time  0.386358
2021-09-10 01:25:49.270062 : Epoch  7, Batch    230, Loss  0.545527, Average Loss  0.540504, Time  0.258368
2021-09-10 01:25:50.289151 : Epoch  8, Batch   1016, Loss  0.846080, Average Loss  0.865778, Time  0.458938
2021-09-10 01:25:51.175817 : Epoch  7, Batch    231, Loss  0.529156, Average Loss  0.540396, Time  0.258088
2021-09-10 01:25:52.133177 : Epoch  8, Batch   1017, Loss  0.889669, Average Loss  0.865916, Time  0.389060
2021-09-10 01:25:53.067068 : Epoch  7, Batch    232, Loss  0.541558, Average Loss  0.540371, Time  0.258324
2021-09-10 01:25:53.963830 : Epoch  8, Batch   1018, Loss  0.874032, Average Loss  0.865858, Time  0.358157
2021-09-10 01:25:54.982060 : Epoch  7, Batch    233, Loss  0.549996, Average Loss  0.540372, Time  0.258009
2021-09-10 01:25:55.757782 : Epoch  8, Batch   1019, Loss  0.852994, Average Loss  0.865747, Time  0.357312
2021-09-10 01:25:56.894851 : Epoch  7, Batch    234, Loss  0.545416, Average Loss  0.540416, Time  0.258092
2021-09-10 01:25:57.668768 : Epoch  8, Batch   1020, Loss  0.863898, Average Loss  0.865850, Time  0.463246
2021-09-10 01:25:58.802844 : Epoch  7, Batch    235, Loss  0.537942, Average Loss  0.540323, Time  0.257749
2021-09-10 01:25:59.560768 : Epoch  8, Batch   1021, Loss  0.853691, Average Loss  0.865769, Time  0.466354
2021-09-10 01:26:00.708781 : Epoch  7, Batch    236, Loss  0.536447, Average Loss  0.540338, Time  0.257974
2021-09-10 01:26:01.344280 : Epoch  8, Batch   1022, Loss  0.863065, Average Loss  0.865748, Time  0.359019
2021-09-10 01:26:02.623826 : Epoch  7, Batch    237, Loss  0.541138, Average Loss  0.540318, Time  0.257916
2021-09-10 01:26:04.575561 : Epoch  7, Batch    238, Loss  0.552155, Average Loss  0.540389, Time  0.261430
2021-09-10 01:26:06.531229 : Epoch  7, Batch    239, Loss  0.533439, Average Loss  0.540278, Time  0.261394
2021-09-10 01:26:08.466062 : Epoch  7, Batch    240, Loss  0.528746, Average Loss  0.540222, Time  0.259887
2021-09-10 01:26:08.738783 : Epoch  8, Batch   1023, Loss  0.856642, Average Loss  0.865513, Time  0.449012
2021-09-10 01:26:10.389236 : Epoch  7, Batch    241, Loss  0.541026, Average Loss  0.540255, Time  0.261354
2021-09-10 01:26:12.330030 : Epoch  7, Batch    242, Loss  0.528038, Average Loss  0.540145, Time  0.261593
2021-09-10 01:26:14.265580 : Epoch  7, Batch    243, Loss  0.545255, Average Loss  0.540190, Time  0.260759
2021-09-10 01:26:16.181049 : Epoch  7, Batch    244, Loss  0.522218, Average Loss  0.540091, Time  0.258138
2021-09-10 01:26:18.093889 : Epoch  7, Batch    245, Loss  0.544818, Average Loss  0.540066, Time  0.258100
2021-09-10 01:26:20.018841 : Epoch  7, Batch    246, Loss  0.552464, Average Loss  0.540110, Time  0.258119
2021-09-10 01:26:21.926762 : Epoch  7, Batch    247, Loss  0.551448, Average Loss  0.540159, Time  0.258123
2021-09-10 01:26:23.850069 : Epoch  7, Batch    248, Loss  0.551151, Average Loss  0.540208, Time  0.257759
2021-09-10 01:26:27.949800 : Epoch  7, Batch    249, Loss  0.540642, Average Loss  0.540189, Time  0.265455
2021-09-10 01:26:29.848905 : Epoch  7, Batch    250, Loss  0.541958, Average Loss  0.540146, Time  0.258765
2021-09-10 01:26:31.776934 : Epoch  7, Batch    251, Loss  0.555068, Average Loss  0.540274, Time  0.264213
2021-09-10 01:26:33.695797 : Epoch  7, Batch    252, Loss  0.536456, Average Loss  0.540200, Time  0.270190
2021-09-10 01:26:35.575027 : Epoch  7, Batch    253, Loss  0.540600, Average Loss  0.540214, Time  0.258741
2021-09-10 01:26:37.456178 : Epoch  7, Batch    254, Loss  0.523948, Average Loss  0.540083, Time  0.262393
2021-09-10 01:26:39.354183 : Epoch  7, Batch    255, Loss  0.523354, Average Loss  0.540004, Time  0.259484
2021-09-10 01:26:41.259886 : Epoch  7, Batch    256, Loss  0.523361, Average Loss  0.539985, Time  0.259212
2021-09-10 01:26:43.187890 : Epoch  7, Batch    257, Loss  0.548317, Average Loss  0.540046, Time  0.260500
2021-09-10 01:26:45.079095 : Epoch  7, Batch    258, Loss  0.542933, Average Loss  0.540110, Time  0.261050
2021-09-10 01:26:46.968797 : Epoch  7, Batch    259, Loss  0.539887, Average Loss  0.540070, Time  0.271626
2021-09-10 01:26:48.896840 : Epoch  7, Batch    260, Loss  0.531440, Average Loss  0.539990, Time  0.274417
2021-09-10 01:26:50.784874 : Epoch  7, Batch    261, Loss  0.544093, Average Loss  0.540001, Time  0.262417
2021-09-10 01:26:52.704891 : Epoch  7, Batch    262, Loss  0.553961, Average Loss  0.540058, Time  0.259946
2021-09-10 01:26:54.621089 : Epoch  7, Batch    263, Loss  0.546929, Average Loss  0.540114, Time  0.259130
2021-09-10 01:26:56.507107 : Epoch  7, Batch    264, Loss  0.541334, Average Loss  0.540183, Time  0.257873
2021-09-10 01:26:58.418785 : Epoch  7, Batch    265, Loss  0.544985, Average Loss  0.540249, Time  0.258002
2021-09-10 01:27:00.320062 : Epoch  7, Batch    266, Loss  0.536093, Average Loss  0.540187, Time  0.257723
2021-09-10 01:27:02.226776 : Epoch  7, Batch    267, Loss  0.556822, Average Loss  0.540232, Time  0.258195
2021-09-10 01:27:04.136053 : Epoch  7, Batch    268, Loss  0.547045, Average Loss  0.540274, Time  0.258122
2021-09-10 01:27:06.046862 : Epoch  7, Batch    269, Loss  0.536479, Average Loss  0.540271, Time  0.257715
2021-09-10 01:27:07.952965 : Epoch  7, Batch    270, Loss  0.540808, Average Loss  0.540301, Time  0.258010
2021-09-10 01:27:09.857102 : Epoch  7, Batch    271, Loss  0.535206, Average Loss  0.540217, Time  0.260262
2021-09-10 01:27:11.791909 : Epoch  7, Batch    272, Loss  0.539231, Average Loss  0.540228, Time  0.258207
2021-09-10 01:27:13.705081 : Epoch  7, Batch    273, Loss  0.532457, Average Loss  0.540206, Time  0.258162
2021-09-10 01:27:15.624092 : Epoch  7, Batch    274, Loss  0.550461, Average Loss  0.540222, Time  0.260771
2021-09-10 01:27:17.517850 : Epoch  7, Batch    275, Loss  0.542481, Average Loss  0.540257, Time  0.257863
2021-09-10 01:27:19.452084 : Epoch  7, Batch    276, Loss  0.527766, Average Loss  0.540242, Time  0.272898
2021-09-10 01:27:21.343846 : Epoch  7, Batch    277, Loss  0.540902, Average Loss  0.540235, Time  0.258271
2021-09-10 01:27:25.403811 : Epoch  7, Batch    278, Loss  0.545518, Average Loss  0.540311, Time  0.270647
2021-09-10 01:28:34.971739 : CheckPoint: Validation Loss  0.00022082, Best Loss  0.00022031
2021-09-10 01:28:36.861779 : Epoch  7, Batch    279, Loss  0.545773, Average Loss  0.540340, Time  0.266427
2021-09-10 01:28:38.746902 : Epoch  7, Batch    280, Loss  0.542382, Average Loss  0.540354, Time  0.258137
2021-09-10 01:28:40.642788 : Epoch  7, Batch    281, Loss  0.529390, Average Loss  0.540276, Time  0.258317
2021-09-10 01:28:42.573809 : Epoch  7, Batch    282, Loss  0.541076, Average Loss  0.540228, Time  0.258345
2021-09-10 01:28:44.492059 : Epoch  7, Batch    283, Loss  0.544757, Average Loss  0.540230, Time  0.258235
2021-09-10 01:28:46.413869 : Epoch  7, Batch    284, Loss  0.546430, Average Loss  0.540237, Time  0.258304
2021-09-10 01:28:48.334769 : Epoch  7, Batch    285, Loss  0.537740, Average Loss  0.540228, Time  0.258201
2021-09-10 01:28:50.263042 : Epoch  7, Batch    286, Loss  0.542894, Average Loss  0.540296, Time  0.258486
2021-09-10 01:28:52.201945 : Epoch  7, Batch    287, Loss  0.556472, Average Loss  0.540402, Time  0.258052
2021-09-10 01:28:54.134061 : Epoch  7, Batch    288, Loss  0.534931, Average Loss  0.540400, Time  0.258166
2021-09-10 01:28:56.052797 : Epoch  7, Batch    289, Loss  0.531741, Average Loss  0.540333, Time  0.258540
2021-09-10 01:28:57.957147 : Epoch  7, Batch    290, Loss  0.540037, Average Loss  0.540351, Time  0.258306
2021-09-10 01:28:59.886907 : Epoch  7, Batch    291, Loss  0.548910, Average Loss  0.540375, Time  0.268584
2021-09-10 01:29:01.790056 : Epoch  7, Batch    292, Loss  0.537006, Average Loss  0.540381, Time  0.261617
2021-09-10 01:29:03.678898 : Epoch  7, Batch    293, Loss  0.520042, Average Loss  0.540286, Time  0.258734
2021-09-10 01:29:05.589087 : Epoch  7, Batch    294, Loss  0.530550, Average Loss  0.540192, Time  0.258156
2021-09-10 01:29:07.496799 : Epoch  7, Batch    295, Loss  0.551432, Average Loss  0.540224, Time  0.258461
2021-09-10 01:29:09.414099 : Epoch  7, Batch    296, Loss  0.540862, Average Loss  0.540221, Time  0.258415
2021-09-10 01:29:11.318093 : Epoch  7, Batch    297, Loss  0.544223, Average Loss  0.540274, Time  0.258273
2021-09-10 01:29:13.245844 : Epoch  7, Batch    298, Loss  0.539615, Average Loss  0.540295, Time  0.267677
2021-09-10 01:29:15.155801 : Epoch  7, Batch    299, Loss  0.534801, Average Loss  0.540262, Time  0.261937
2021-09-10 01:29:17.079774 : Epoch  7, Batch    300, Loss  0.539288, Average Loss  0.540241, Time  0.258696
2021-09-10 01:29:19.012101 : Epoch  7, Batch    301, Loss  0.549399, Average Loss  0.540257, Time  0.273639
2021-09-10 01:29:20.919907 : Epoch  7, Batch    302, Loss  0.537267, Average Loss  0.540282, Time  0.258747
2021-09-10 01:29:22.829768 : Epoch  7, Batch    303, Loss  0.535574, Average Loss  0.540259, Time  0.257982
2021-09-10 01:29:24.735783 : Epoch  7, Batch    304, Loss  0.535403, Average Loss  0.540250, Time  0.258429
2021-09-10 01:29:26.637892 : Epoch  7, Batch    305, Loss  0.555936, Average Loss  0.540350, Time  0.258111
2021-09-10 01:29:28.542922 : Epoch  7, Batch    306, Loss  0.553250, Average Loss  0.540488, Time  0.258094
2021-09-10 01:29:30.464834 : Epoch  7, Batch    307, Loss  0.551468, Average Loss  0.540503, Time  0.260509
2021-09-10 01:29:32.393889 : Epoch  7, Batch    308, Loss  0.546423, Average Loss  0.540442, Time  0.258434
2021-09-10 01:29:34.317816 : Epoch  7, Batch    309, Loss  0.536623, Average Loss  0.540321, Time  0.258224
2021-09-10 01:29:36.280971 : Epoch  7, Batch    310, Loss  0.531628, Average Loss  0.540309, Time  0.258071
2021-09-10 01:29:38.180876 : Epoch  7, Batch    311, Loss  0.531274, Average Loss  0.540277, Time  0.257963
2021-09-10 01:29:40.053976 : Epoch  7, Batch    312, Loss  0.541863, Average Loss  0.540314, Time  0.258554
2021-09-10 01:29:41.933838 : Epoch  7, Batch    313, Loss  0.538430, Average Loss  0.540279, Time  0.262928
2021-09-10 01:29:43.832282 : Epoch  7, Batch    314, Loss  0.537136, Average Loss  0.540303, Time  0.259363
2021-09-10 01:29:44.001852 : Epoch  7, Batch    315, Loss  0.504967, Average Loss  0.540153, Time  0.121642
2021-09-10 01:29:45.879804 : Epoch  7, Batch    316, Loss  0.542953, Average Loss  0.540112, Time  0.258593
2021-09-10 01:29:47.803072 : Epoch  7, Batch    317, Loss  0.549090, Average Loss  0.540177, Time  0.258394
2021-09-10 01:29:49.709637 : Epoch  7, Batch    318, Loss  0.567800, Average Loss  0.540270, Time  0.258398
2021-09-10 01:29:51.601782 : Epoch  7, Batch    319, Loss  0.551151, Average Loss  0.540332, Time  0.258256
2021-09-10 01:29:53.532858 : Epoch  7, Batch    320, Loss  0.557089, Average Loss  0.540370, Time  0.258136
2021-09-10 01:29:55.463807 : Epoch  7, Batch    321, Loss  0.550529, Average Loss  0.540319, Time  0.260442
2021-09-10 01:29:57.393075 : Epoch  7, Batch    322, Loss  0.543644, Average Loss  0.540349, Time  0.257876
2021-09-10 01:29:59.319881 : Epoch  7, Batch    323, Loss  0.545245, Average Loss  0.540361, Time  0.257909
2021-09-10 01:30:01.237825 : Epoch  7, Batch    324, Loss  0.543966, Average Loss  0.540412, Time  0.257842
2021-09-10 01:30:03.162789 : Epoch  7, Batch    325, Loss  0.555622, Average Loss  0.540495, Time  0.258427
2021-09-10 01:30:05.102052 : Epoch  7, Batch    326, Loss  0.552188, Average Loss  0.540564, Time  0.257760
2021-09-10 01:30:07.029915 : Epoch  7, Batch    327, Loss  0.568461, Average Loss  0.540694, Time  0.257840
2021-09-10 01:30:08.948055 : Epoch  7, Batch    328, Loss  0.550834, Average Loss  0.540784, Time  0.257967
2021-09-10 01:30:10.860588 : Epoch  7, Batch    329, Loss  0.559990, Average Loss  0.540926, Time  0.257837
2021-09-10 01:30:12.757936 : Epoch  7, Batch    330, Loss  0.539752, Average Loss  0.540952, Time  0.257903
2021-09-10 01:30:14.662877 : Epoch  7, Batch    331, Loss  0.546523, Average Loss  0.540984, Time  0.258229
2021-09-10 01:30:16.561003 : Epoch  7, Batch    332, Loss  0.540124, Average Loss  0.541025, Time  0.258866
2021-09-10 01:30:18.442864 : Epoch  7, Batch    333, Loss  0.556381, Average Loss  0.541137, Time  0.258468
2021-09-10 01:30:20.337919 : Epoch  7, Batch    334, Loss  0.535841, Average Loss  0.541173, Time  0.258386
2021-09-10 01:30:22.235847 : Epoch  7, Batch    335, Loss  0.542726, Average Loss  0.541132, Time  0.258034
2021-09-10 01:30:24.154883 : Epoch  7, Batch    336, Loss  0.550239, Average Loss  0.541119, Time  0.257954
2021-09-10 01:30:26.076779 : Epoch  7, Batch    337, Loss  0.546646, Average Loss  0.541072, Time  0.258085
2021-09-10 01:30:27.996833 : Epoch  7, Batch    338, Loss  0.545635, Average Loss  0.541105, Time  0.258010
2021-09-10 01:30:29.913809 : Epoch  7, Batch    339, Loss  0.541278, Average Loss  0.541122, Time  0.258361
2021-09-10 01:30:31.837766 : Epoch  7, Batch    340, Loss  0.560385, Average Loss  0.541161, Time  0.257695
2021-09-10 01:30:33.757935 : Epoch  7, Batch    341, Loss  0.541434, Average Loss  0.541177, Time  0.258127
2021-09-10 01:30:35.684072 : Epoch  7, Batch    342, Loss  0.536123, Average Loss  0.541166, Time  0.258083
2021-09-10 01:30:37.660884 : Epoch  7, Batch    343, Loss  0.547508, Average Loss  0.541191, Time  0.257913
2021-09-10 01:30:39.591046 : Epoch  7, Batch    344, Loss  0.541195, Average Loss  0.541205, Time  0.257976
2021-09-10 01:30:41.519079 : Epoch  7, Batch    345, Loss  0.558390, Average Loss  0.541235, Time  0.258276
2021-09-10 01:30:43.443054 : Epoch  7, Batch    346, Loss  0.543555, Average Loss  0.541220, Time  0.258001
2021-09-10 01:30:45.348781 : Epoch  7, Batch    347, Loss  0.549142, Average Loss  0.541332, Time  0.258140
2021-09-10 01:30:47.274801 : Epoch  7, Batch    348, Loss  0.550574, Average Loss  0.541297, Time  0.258163
2021-09-10 01:30:49.204064 : Epoch  7, Batch    349, Loss  0.540833, Average Loss  0.541313, Time  0.257946
2021-09-10 01:30:53.222882 : Epoch  7, Batch    350, Loss  0.535459, Average Loss  0.541327, Time  0.270995
2021-09-10 01:30:55.148908 : Epoch  7, Batch    351, Loss  0.545751, Average Loss  0.541386, Time  0.259350
2021-09-10 01:30:57.067072 : Epoch  7, Batch    352, Loss  0.532040, Average Loss  0.541319, Time  0.258073
2021-09-10 01:30:58.990785 : Epoch  7, Batch    353, Loss  0.531410, Average Loss  0.541238, Time  0.258329
2021-09-10 01:30:59.414709 : CheckPoint: Validation Loss  0.00060978, Best Loss  0.00056427
2021-09-10 01:31:00.910839 : Epoch  7, Batch    354, Loss  0.535395, Average Loss  0.541187, Time  0.257979
2021-09-10 01:31:01.267781 : Epoch  8, Batch   1024, Loss  0.853887, Average Loss  0.865478, Time  0.413945
2021-09-10 01:31:02.825837 : Epoch  7, Batch    355, Loss  0.540751, Average Loss  0.541225, Time  0.260588
2021-09-10 01:31:03.100768 : Epoch  8, Batch   1025, Loss  0.863474, Average Loss  0.865495, Time  0.452126
2021-09-10 01:31:04.758882 : Epoch  7, Batch    356, Loss  0.545223, Average Loss  0.541188, Time  0.258558
2021-09-10 01:31:04.900796 : Epoch  8, Batch   1026, Loss  0.853361, Average Loss  0.865395, Time  0.384609
2021-09-10 01:31:06.662337 : Epoch  7, Batch    357, Loss  0.547296, Average Loss  0.541213, Time  0.258714
2021-09-10 01:31:06.706793 : Epoch  8, Batch   1027, Loss  0.878640, Average Loss  0.865390, Time  0.358903
2021-09-10 01:31:08.531868 : Epoch  8, Batch   1028, Loss  0.880874, Average Loss  0.865376, Time  0.382583
2021-09-10 01:31:08.566085 : Epoch  7, Batch    358, Loss  0.537865, Average Loss  0.541183, Time  0.260938
2021-09-10 01:31:10.393782 : Epoch  8, Batch   1029, Loss  0.867025, Average Loss  0.865244, Time  0.455655
2021-09-10 01:31:10.471069 : Epoch  7, Batch    359, Loss  0.550030, Average Loss  0.541190, Time  0.258424
2021-09-10 01:31:12.171339 : Epoch  8, Batch   1030, Loss  0.885286, Average Loss  0.865352, Time  0.356129
2021-09-10 01:31:12.384942 : Epoch  7, Batch    360, Loss  0.545105, Average Loss  0.541278, Time  0.258616
2021-09-10 01:31:13.989796 : Epoch  8, Batch   1031, Loss  0.839584, Average Loss  0.865183, Time  0.365216
2021-09-10 01:31:14.300073 : Epoch  7, Batch    361, Loss  0.533903, Average Loss  0.541214, Time  0.258114
2021-09-10 01:31:15.818808 : Epoch  8, Batch   1032, Loss  0.890074, Average Loss  0.865323, Time  0.379576
2021-09-10 01:31:16.196081 : Epoch  7, Batch    362, Loss  0.554193, Average Loss  0.541329, Time  0.258303
2021-09-10 01:31:17.726109 : Epoch  8, Batch   1033, Loss  0.850853, Average Loss  0.865303, Time  0.470196
2021-09-10 01:31:18.093079 : Epoch  7, Batch    363, Loss  0.542095, Average Loss  0.541264, Time  0.257647
2021-09-10 01:31:19.491824 : Epoch  8, Batch   1034, Loss  0.868934, Average Loss  0.865159, Time  0.365717
2021-09-10 01:31:19.977910 : Epoch  7, Batch    364, Loss  0.532714, Average Loss  0.541244, Time  0.258151
2021-09-10 01:31:21.268096 : Epoch  8, Batch   1035, Loss  0.855649, Average Loss  0.865139, Time  0.357266
2021-09-10 01:31:21.879863 : Epoch  7, Batch    365, Loss  0.553634, Average Loss  0.541376, Time  0.258305
2021-09-10 01:31:23.076766 : Epoch  8, Batch   1036, Loss  0.816347, Average Loss  0.864894, Time  0.364800
2021-09-10 01:31:23.804060 : Epoch  7, Batch    366, Loss  0.543065, Average Loss  0.541444, Time  0.258238
2021-09-10 01:31:24.978786 : Epoch  8, Batch   1037, Loss  0.878031, Average Loss  0.865002, Time  0.451541
2021-09-10 01:31:25.722810 : Epoch  7, Batch    367, Loss  0.542768, Average Loss  0.541443, Time  0.258345
2021-09-10 01:31:26.844790 : Epoch  8, Batch   1038, Loss  0.871965, Average Loss  0.865180, Time  0.417331
2021-09-10 01:31:27.641791 : Epoch  7, Batch    368, Loss  0.551079, Average Loss  0.541484, Time  0.257848
2021-09-10 01:31:28.644769 : Epoch  8, Batch   1039, Loss  0.893235, Average Loss  0.865346, Time  0.356074
2021-09-10 01:31:29.553899 : Epoch  7, Batch    369, Loss  0.545526, Average Loss  0.541500, Time  0.258049
2021-09-10 01:31:30.440786 : Epoch  8, Batch   1040, Loss  0.872872, Average Loss  0.865299, Time  0.356902
2021-09-10 01:31:31.467066 : Epoch  7, Batch    370, Loss  0.534989, Average Loss  0.541437, Time  0.258010
2021-09-10 01:31:32.309796 : Epoch  8, Batch   1041, Loss  0.863649, Average Loss  0.865236, Time  0.420306
2021-09-10 01:31:33.376925 : Epoch  7, Batch    371, Loss  0.560296, Average Loss  0.541520, Time  0.258153
2021-09-10 01:31:34.200788 : Epoch  8, Batch   1042, Loss  0.887483, Average Loss  0.865220, Time  0.453269
2021-09-10 01:31:35.283921 : Epoch  7, Batch    372, Loss  0.550386, Average Loss  0.541594, Time  0.258288
2021-09-10 01:31:35.987929 : Epoch  8, Batch   1043, Loss  0.881325, Average Loss  0.865257, Time  0.335439
2021-09-10 01:31:37.206947 : Epoch  7, Batch    373, Loss  0.542005, Average Loss  0.541556, Time  0.258583
2021-09-10 01:31:37.817087 : Epoch  8, Batch   1044, Loss  0.877767, Average Loss  0.865418, Time  0.357302
2021-09-10 01:31:39.126842 : Epoch  7, Batch    374, Loss  0.539805, Average Loss  0.541596, Time  0.258106
2021-09-10 01:31:39.602890 : Epoch  8, Batch   1045, Loss  0.864423, Average Loss  0.865427, Time  0.355906
2021-09-10 01:31:41.058076 : Epoch  7, Batch    375, Loss  0.555191, Average Loss  0.541688, Time  0.258114
2021-09-10 01:31:41.534767 : Epoch  8, Batch   1046, Loss  0.867294, Average Loss  0.865451, Time  0.451644
2021-09-10 01:31:42.974116 : Epoch  7, Batch    376, Loss  0.556785, Average Loss  0.541765, Time  0.258722
2021-09-10 01:31:43.404788 : Epoch  8, Batch   1047, Loss  0.853965, Average Loss  0.865462, Time  0.435117
2021-09-10 01:31:44.900781 : Epoch  7, Batch    377, Loss  0.534213, Average Loss  0.541728, Time  0.258639
2021-09-10 01:31:45.224790 : Epoch  8, Batch   1048, Loss  0.869709, Average Loss  0.865441, Time  0.360598
2021-09-10 01:31:46.823196 : Epoch  7, Batch    378, Loss  0.539882, Average Loss  0.541822, Time  0.259562
2021-09-10 01:31:47.033826 : Epoch  8, Batch   1049, Loss  0.877293, Average Loss  0.865484, Time  0.356688
2021-09-10 01:31:48.863080 : Epoch  8, Batch   1050, Loss  0.870542, Average Loss  0.865404, Time  0.413098
2021-09-10 01:31:50.736643 : Epoch  8, Batch   1051, Loss  0.886452, Average Loss  0.865799, Time  0.459706
2021-09-10 01:31:52.511789 : Epoch  8, Batch   1052, Loss  0.893481, Average Loss  0.865920, Time  0.363281
2021-09-10 01:31:54.292803 : Epoch  8, Batch   1053, Loss  0.852394, Average Loss  0.865827, Time  0.357413
2021-09-10 01:31:56.084264 : Epoch  8, Batch   1054, Loss  0.867358, Average Loss  0.865768, Time  0.384730
2021-09-10 01:31:57.970785 : Epoch  8, Batch   1055, Loss  0.843018, Average Loss  0.865626, Time  0.464200
2021-09-10 01:31:59.755767 : Epoch  8, Batch   1056, Loss  0.901594, Average Loss  0.865811, Time  0.356770
2021-09-10 01:32:01.555950 : Epoch  8, Batch   1057, Loss  0.870825, Average Loss  0.865746, Time  0.363241
2021-09-10 01:32:03.386780 : Epoch  8, Batch   1058, Loss  0.843500, Average Loss  0.865645, Time  0.372226
2021-09-10 01:32:05.302398 : Epoch  8, Batch   1059, Loss  0.877102, Average Loss  0.865646, Time  0.452385
2021-09-10 01:32:07.187161 : Epoch  8, Batch   1060, Loss  0.843279, Average Loss  0.865544, Time  0.430378
2021-09-10 01:32:08.985678 : Epoch  8, Batch   1061, Loss  0.850125, Average Loss  0.865643, Time  0.361173
2021-09-10 01:32:10.760786 : Epoch  8, Batch   1062, Loss  0.840876, Average Loss  0.865404, Time  0.356561
2021-09-10 01:32:12.611391 : Epoch  8, Batch   1063, Loss  0.892840, Average Loss  0.865729, Time  0.427649
2021-09-10 01:32:14.495890 : Epoch  8, Batch   1064, Loss  0.841437, Average Loss  0.865558, Time  0.460551
2021-09-10 01:32:16.270128 : Epoch  8, Batch   1065, Loss  0.852134, Average Loss  0.865451, Time  0.359348
2021-09-10 01:32:18.091085 : Epoch  8, Batch   1066, Loss  0.876526, Average Loss  0.865501, Time  0.365001
2021-09-10 01:32:19.887887 : Epoch  8, Batch   1067, Loss  0.853159, Average Loss  0.865406, Time  0.369823
2021-09-10 01:32:21.742168 : Epoch  8, Batch   1068, Loss  0.855100, Average Loss  0.865333, Time  0.450254
2021-09-10 01:32:23.520781 : Epoch  8, Batch   1069, Loss  0.855467, Average Loss  0.865194, Time  0.357289
2021-09-10 01:32:25.329138 : Epoch  8, Batch   1070, Loss  0.869251, Average Loss  0.865220, Time  0.357209
2021-09-10 01:32:27.141778 : Epoch  8, Batch   1071, Loss  0.844185, Average Loss  0.865203, Time  0.384398
2021-09-10 01:32:29.030137 : Epoch  8, Batch   1072, Loss  0.864802, Average Loss  0.865154, Time  0.462478
2021-09-10 01:32:30.828790 : Epoch  8, Batch   1073, Loss  0.830652, Average Loss  0.865128, Time  0.350879
2021-09-10 01:32:32.605110 : Epoch  8, Batch   1074, Loss  0.870913, Average Loss  0.865019, Time  0.359343
2021-09-10 01:32:34.405113 : Epoch  8, Batch   1075, Loss  0.879524, Average Loss  0.865155, Time  0.375558
2021-09-10 01:32:36.292780 : Epoch  8, Batch   1076, Loss  0.858482, Average Loss  0.865328, Time  0.467101
2021-09-10 01:32:38.090773 : Epoch  8, Batch   1077, Loss  0.868643, Average Loss  0.865294, Time  0.358737
2021-09-10 01:32:39.891776 : Epoch  8, Batch   1078, Loss  0.852594, Average Loss  0.865090, Time  0.369809
2021-09-10 01:32:41.709129 : Epoch  8, Batch   1079, Loss  0.853896, Average Loss  0.864943, Time  0.361442
2021-09-10 01:32:43.586782 : Epoch  8, Batch   1080, Loss  0.846455, Average Loss  0.864780, Time  0.454283
2021-09-10 01:32:45.390167 : Epoch  8, Batch   1081, Loss  0.869342, Average Loss  0.864696, Time  0.373509
2021-09-10 01:32:47.178846 : Epoch  8, Batch   1082, Loss  0.867218, Average Loss  0.864779, Time  0.357542
2021-09-10 01:32:49.014778 : Epoch  8, Batch   1083, Loss  0.880133, Average Loss  0.865034, Time  0.366847
2021-09-10 01:32:50.922778 : Epoch  8, Batch   1084, Loss  0.865183, Average Loss  0.864960, Time  0.468990
2021-09-10 01:32:52.715790 : Epoch  8, Batch   1085, Loss  0.832210, Average Loss  0.864938, Time  0.363338
2021-09-10 01:32:54.521940 : Epoch  8, Batch   1086, Loss  0.903532, Average Loss  0.864950, Time  0.359084
2021-09-10 01:32:56.311863 : Epoch  8, Batch   1087, Loss  0.851879, Average Loss  0.864813, Time  0.374071
2021-09-10 01:32:56.517750 : CheckPoint: Validation Loss  0.00022281, Best Loss  0.00022031
2021-09-10 01:32:58.186793 : Epoch  8, Batch   1088, Loss  0.835095, Average Loss  0.864793, Time  0.452656
2021-09-10 01:32:58.428884 : Epoch  7, Batch    379, Loss  0.535458, Average Loss  0.541812, Time  0.274987
2021-09-10 01:33:00.001125 : Epoch  8, Batch   1089, Loss  0.830918, Average Loss  0.864703, Time  0.346071
2021-09-10 01:33:00.288076 : Epoch  7, Batch    380, Loss  0.540183, Average Loss  0.541794, Time  0.258079
2021-09-10 01:33:01.808112 : Epoch  8, Batch   1090, Loss  0.861288, Average Loss  0.864571, Time  0.357703
2021-09-10 01:33:02.184805 : Epoch  7, Batch    381, Loss  0.548859, Average Loss  0.541901, Time  0.258678
2021-09-10 01:33:03.610800 : Epoch  8, Batch   1091, Loss  0.850206, Average Loss  0.864638, Time  0.358061
2021-09-10 01:33:04.065778 : Epoch  7, Batch    382, Loss  0.533606, Average Loss  0.541904, Time  0.258333
2021-09-10 01:33:05.515791 : Epoch  8, Batch   1092, Loss  0.876295, Average Loss  0.864809, Time  0.450502
2021-09-10 01:33:05.923920 : Epoch  7, Batch    383, Loss  0.539179, Average Loss  0.541878, Time  0.258333
2021-09-10 01:33:07.434781 : Epoch  8, Batch   1093, Loss  0.879923, Average Loss  0.864940, Time  0.447689
2021-09-10 01:33:07.803946 : Epoch  7, Batch    384, Loss  0.536436, Average Loss  0.541848, Time  0.259154
2021-09-10 01:33:09.252784 : Epoch  8, Batch   1094, Loss  0.900096, Average Loss  0.864967, Time  0.356737
2021-09-10 01:33:09.695985 : Epoch  7, Batch    385, Loss  0.542879, Average Loss  0.541795, Time  0.267170
2021-09-10 01:33:11.060779 : Epoch  8, Batch   1095, Loss  0.897902, Average Loss  0.865072, Time  0.356378
2021-09-10 01:33:11.596735 : Epoch  7, Batch    386, Loss  0.531906, Average Loss  0.541800, Time  0.261918
2021-09-10 01:33:12.905783 : Epoch  8, Batch   1096, Loss  0.897038, Average Loss  0.865327, Time  0.393661
2021-09-10 01:33:13.499058 : Epoch  7, Batch    387, Loss  0.541057, Average Loss  0.541785, Time  0.257894
2021-09-10 01:33:14.802766 : Epoch  8, Batch   1097, Loss  0.850632, Average Loss  0.865246, Time  0.453357
2021-09-10 01:33:15.396082 : Epoch  7, Batch    388, Loss  0.539260, Average Loss  0.541758, Time  0.262859
2021-09-10 01:33:16.624768 : Epoch  8, Batch   1098, Loss  0.906234, Average Loss  0.865571, Time  0.370315
2021-09-10 01:33:17.267809 : Epoch  7, Batch    389, Loss  0.541061, Average Loss  0.541700, Time  0.259089
2021-09-10 01:33:18.426214 : Epoch  8, Batch   1099, Loss  0.879247, Average Loss  0.865677, Time  0.356318
2021-09-10 01:33:19.172083 : Epoch  7, Batch    390, Loss  0.548554, Average Loss  0.541681, Time  0.258553
2021-09-10 01:33:20.241764 : Epoch  8, Batch   1100, Loss  0.856588, Average Loss  0.865577, Time  0.359550
2021-09-10 01:33:21.065897 : Epoch  7, Batch    391, Loss  0.542253, Average Loss  0.541721, Time  0.260114
2021-09-10 01:33:22.111136 : Epoch  8, Batch   1101, Loss  0.889562, Average Loss  0.865666, Time  0.459329
2021-09-10 01:33:22.966867 : Epoch  7, Batch    392, Loss  0.540652, Average Loss  0.541728, Time  0.257938
2021-09-10 01:33:24.065030 : Epoch  8, Batch   1102, Loss  0.855511, Average Loss  0.865766, Time  0.463885
2021-09-10 01:33:24.885829 : Epoch  7, Batch    393, Loss  0.549721, Average Loss  0.541791, Time  0.257777
2021-09-10 01:33:25.881779 : Epoch  8, Batch   1103, Loss  0.880459, Average Loss  0.865836, Time  0.365391
2021-09-10 01:33:26.774831 : Epoch  7, Batch    394, Loss  0.532741, Average Loss  0.541717, Time  0.258035
2021-09-10 01:33:27.664140 : Epoch  8, Batch   1104, Loss  0.873018, Average Loss  0.866131, Time  0.359797
2021-09-10 01:33:28.700832 : Epoch  7, Batch    395, Loss  0.534804, Average Loss  0.541667, Time  0.257841
2021-09-10 01:33:29.449308 : Epoch  8, Batch   1105, Loss  0.900515, Average Loss  0.866274, Time  0.360632
2021-09-10 01:33:30.634046 : Epoch  7, Batch    396, Loss  0.533276, Average Loss  0.541645, Time  0.258006
2021-09-10 01:33:31.322766 : Epoch  8, Batch   1106, Loss  0.880826, Average Loss  0.866249, Time  0.449566
2021-09-10 01:33:32.551896 : Epoch  7, Batch    397, Loss  0.537735, Average Loss  0.541670, Time  0.258087
2021-09-10 01:33:33.176787 : Epoch  8, Batch   1107, Loss  0.866630, Average Loss  0.866080, Time  0.423454
2021-09-10 01:33:34.471839 : Epoch  7, Batch    398, Loss  0.536402, Average Loss  0.541632, Time  0.258189
2021-09-10 01:33:34.983238 : Epoch  8, Batch   1108, Loss  0.875859, Average Loss  0.866128, Time  0.381232
2021-09-10 01:33:36.385101 : Epoch  7, Batch    399, Loss  0.536924, Average Loss  0.541684, Time  0.257939
2021-09-10 01:33:36.741773 : Epoch  8, Batch   1109, Loss  0.849266, Average Loss  0.865999, Time  0.361053
2021-09-10 01:33:38.293739 : Epoch  7, Batch    400, Loss  0.534686, Average Loss  0.541595, Time  0.258040
2021-09-10 01:33:38.613787 : Epoch  8, Batch   1110, Loss  0.858385, Average Loss  0.866020, Time  0.448905
2021-09-10 01:33:40.199030 : Epoch  7, Batch    401, Loss  0.535515, Average Loss  0.541653, Time  0.258372
2021-09-10 01:33:40.500763 : Epoch  8, Batch   1111, Loss  0.871296, Average Loss  0.865956, Time  0.453762
2021-09-10 01:33:42.123960 : Epoch  7, Batch    402, Loss  0.544630, Average Loss  0.541735, Time  0.258198
2021-09-10 01:33:42.258767 : Epoch  8, Batch   1112, Loss  0.896696, Average Loss  0.866073, Time  0.356882
2021-09-10 01:33:44.042916 : Epoch  8, Batch   1113, Loss  0.892196, Average Loss  0.866194, Time  0.368417
2021-09-10 01:33:44.094289 : Epoch  7, Batch    403, Loss  0.555769, Average Loss  0.541799, Time  0.261856
2021-09-10 01:33:45.870623 : Epoch  8, Batch   1114, Loss  0.855572, Average Loss  0.866141, Time  0.374734
2021-09-10 01:33:46.066124 : Epoch  7, Batch    404, Loss  0.539662, Average Loss  0.541786, Time  0.304555
2021-09-10 01:33:47.778051 : Epoch  8, Batch   1115, Loss  0.872147, Average Loss  0.866224, Time  0.452391
2021-09-10 01:33:47.950081 : Epoch  7, Batch    405, Loss  0.542097, Average Loss  0.541755, Time  0.258227
2021-09-10 01:33:49.621796 : Epoch  8, Batch   1116, Loss  0.859583, Average Loss  0.866223, Time  0.417755
2021-09-10 01:33:49.832781 : Epoch  7, Batch    406, Loss  0.541821, Average Loss  0.541731, Time  0.260236
2021-09-10 01:33:51.423786 : Epoch  8, Batch   1117, Loss  0.852308, Average Loss  0.866165, Time  0.363693
2021-09-10 01:33:51.701874 : Epoch  7, Batch    407, Loss  0.548694, Average Loss  0.541670, Time  0.259509
2021-09-10 01:33:53.195765 : Epoch  8, Batch   1118, Loss  0.880268, Average Loss  0.866287, Time  0.368942
2021-09-10 01:33:53.575002 : Epoch  7, Batch    408, Loss  0.542531, Average Loss  0.541761, Time  0.261865
2021-09-10 01:33:55.043815 : Epoch  8, Batch   1119, Loss  0.886874, Average Loss  0.866574, Time  0.437678
2021-09-10 01:33:55.472094 : Epoch  7, Batch    409, Loss  0.534578, Average Loss  0.541766, Time  0.259260
2021-09-10 01:33:56.912977 : Epoch  8, Batch   1120, Loss  0.845570, Average Loss  0.866477, Time  0.457534
2021-09-10 01:33:57.370842 : Epoch  7, Batch    410, Loss  0.545421, Average Loss  0.541731, Time  0.258973
2021-09-10 01:33:58.694789 : Epoch  8, Batch   1121, Loss  0.857196, Average Loss  0.866172, Time  0.363071
2021-09-10 01:33:59.253093 : Epoch  7, Batch    411, Loss  0.544357, Average Loss  0.541791, Time  0.260471
2021-09-10 01:34:00.480767 : Epoch  8, Batch   1122, Loss  0.819868, Average Loss  0.865947, Time  0.356268
2021-09-10 01:34:01.172146 : Epoch  7, Batch    412, Loss  0.548011, Average Loss  0.541852, Time  0.264189
2021-09-10 01:34:02.292796 : Epoch  8, Batch   1123, Loss  0.880623, Average Loss  0.866007, Time  0.404256
2021-09-10 01:34:03.064623 : Epoch  7, Batch    413, Loss  0.518849, Average Loss  0.541742, Time  0.261595
2021-09-10 01:34:04.988948 : Epoch  7, Batch    414, Loss  0.540570, Average Loss  0.541759, Time  0.266596
2021-09-10 01:34:06.902003 : Epoch  7, Batch    415, Loss  0.540089, Average Loss  0.541792, Time  0.265034
2021-09-10 01:34:08.795778 : Epoch  7, Batch    416, Loss  0.539488, Average Loss  0.541770, Time  0.265713
2021-09-10 01:34:10.688802 : Epoch  7, Batch    417, Loss  0.540385, Average Loss  0.541888, Time  0.258187
2021-09-10 01:34:12.617089 : Epoch  7, Batch    418, Loss  0.544335, Average Loss  0.541932, Time  0.267783
2021-09-10 01:34:14.508104 : Epoch  7, Batch    419, Loss  0.524020, Average Loss  0.541895, Time  0.258337
2021-09-10 01:34:16.424083 : Epoch  7, Batch    420, Loss  0.537063, Average Loss  0.541855, Time  0.257856
2021-09-10 01:34:18.358116 : Epoch  7, Batch    421, Loss  0.525878, Average Loss  0.541828, Time  0.260327
2021-09-10 01:34:20.252966 : Epoch  7, Batch    422, Loss  0.558604, Average Loss  0.541959, Time  0.258345
2021-09-10 01:34:22.153097 : Epoch  7, Batch    423, Loss  0.541869, Average Loss  0.542023, Time  0.262515
2021-09-10 01:34:24.071088 : Epoch  7, Batch    424, Loss  0.551577, Average Loss  0.542093, Time  0.260454
2021-09-10 01:34:25.991091 : Epoch  7, Batch    425, Loss  0.536612, Average Loss  0.542042, Time  0.264836
2021-09-10 01:34:27.899087 : Epoch  7, Batch    426, Loss  0.539738, Average Loss  0.542063, Time  0.269284
2021-09-10 01:34:29.780788 : Epoch  7, Batch    427, Loss  0.533122, Average Loss  0.542016, Time  0.258571
2021-09-10 01:34:31.707090 : Epoch  7, Batch    428, Loss  0.531853, Average Loss  0.541944, Time  0.280209
2021-09-10 01:34:33.605884 : Epoch  7, Batch    429, Loss  0.532390, Average Loss  0.541922, Time  0.258862
2021-09-10 01:34:35.506951 : Epoch  7, Batch    430, Loss  0.549179, Average Loss  0.541940, Time  0.258324
2021-09-10 01:34:37.407100 : Epoch  7, Batch    431, Loss  0.537379, Average Loss  0.541981, Time  0.269769
2021-09-10 01:34:39.374772 : Epoch  7, Batch    432, Loss  0.541523, Average Loss  0.541981, Time  0.274025
2021-09-10 01:34:41.295768 : Epoch  7, Batch    433, Loss  0.529457, Average Loss  0.541878, Time  0.258514
2021-09-10 01:34:43.209087 : Epoch  7, Batch    434, Loss  0.536371, Average Loss  0.541833, Time  0.262245
2021-09-10 01:34:45.112936 : Epoch  7, Batch    435, Loss  0.532361, Average Loss  0.541805, Time  0.257941
2021-09-10 01:34:47.036871 : Epoch  7, Batch    436, Loss  0.551082, Average Loss  0.541878, Time  0.257552
2021-09-10 01:34:48.980890 : Epoch  7, Batch    437, Loss  0.555933, Average Loss  0.541952, Time  0.258562
2021-09-10 01:34:50.900782 : Epoch  7, Batch    438, Loss  0.546129, Average Loss  0.541922, Time  0.257858
2021-09-10 01:34:52.825993 : Epoch  7, Batch    439, Loss  0.542413, Average Loss  0.541967, Time  0.258754
2021-09-10 01:34:54.751949 : Epoch  7, Batch    440, Loss  0.535265, Average Loss  0.541999, Time  0.258343
2021-09-10 01:34:56.681757 : Epoch  7, Batch    441, Loss  0.528773, Average Loss  0.541938, Time  0.258421
2021-09-10 01:34:58.613079 : Epoch  7, Batch    442, Loss  0.535599, Average Loss  0.541976, Time  0.258132
2021-09-10 01:35:00.536851 : Epoch  7, Batch    443, Loss  0.549285, Average Loss  0.541996, Time  0.258064
2021-09-10 01:35:02.430089 : Epoch  7, Batch    444, Loss  0.545637, Average Loss  0.542113, Time  0.262102
2021-09-10 01:35:04.318902 : Epoch  7, Batch    445, Loss  0.540410, Average Loss  0.542091, Time  0.261480
2021-09-10 01:35:06.233840 : Epoch  7, Batch    446, Loss  0.531966, Average Loss  0.541989, Time  0.259218
2021-09-10 01:35:08.130878 : Epoch  7, Batch    447, Loss  0.533329, Average Loss  0.541898, Time  0.258311
2021-09-10 01:35:10.035097 : Epoch  7, Batch    448, Loss  0.535609, Average Loss  0.541820, Time  0.261317
2021-09-10 01:35:14.072097 : Epoch  7, Batch    449, Loss  0.533972, Average Loss  0.541787, Time  0.268116
2021-09-10 01:35:15.966500 : Epoch  7, Batch    450, Loss  0.538447, Average Loss  0.541770, Time  0.263770
2021-09-10 01:35:17.832091 : Epoch  7, Batch    451, Loss  0.525333, Average Loss  0.541621, Time  0.258264
2021-09-10 01:35:19.706924 : Epoch  7, Batch    452, Loss  0.529631, Average Loss  0.541587, Time  0.262697
2021-09-10 01:35:21.583874 : Epoch  7, Batch    453, Loss  0.538605, Average Loss  0.541577, Time  0.259629
2021-09-10 01:35:23.451519 : Epoch  7, Batch    454, Loss  0.534967, Average Loss  0.541632, Time  0.258463
2021-09-10 01:35:25.341971 : Epoch  7, Batch    455, Loss  0.544887, Average Loss  0.541740, Time  0.259953
2021-09-10 01:35:27.248817 : Epoch  7, Batch    456, Loss  0.549059, Average Loss  0.541868, Time  0.261897
2021-09-10 01:35:29.142102 : Epoch  7, Batch    457, Loss  0.534244, Average Loss  0.541798, Time  0.258289
2021-09-10 01:35:31.046083 : Epoch  7, Batch    458, Loss  0.548819, Average Loss  0.541827, Time  0.261411
2021-09-10 01:35:32.962090 : Epoch  7, Batch    459, Loss  0.552636, Average Loss  0.541891, Time  0.259043
2021-09-10 01:35:34.867857 : Epoch  7, Batch    460, Loss  0.533331, Average Loss  0.541900, Time  0.258250
2021-09-10 01:35:36.808840 : Epoch  7, Batch    461, Loss  0.538865, Average Loss  0.541874, Time  0.264636
2021-09-10 01:35:38.685150 : Epoch  7, Batch    462, Loss  0.529067, Average Loss  0.541750, Time  0.261907
2021-09-10 01:35:40.571104 : Epoch  7, Batch    463, Loss  0.542724, Average Loss  0.541729, Time  0.260596
2021-09-10 01:35:42.615096 : Epoch  7, Batch    464, Loss  0.532455, Average Loss  0.541684, Time  0.261064
2021-09-10 01:35:44.523888 : Epoch  7, Batch    465, Loss  0.531551, Average Loss  0.541617, Time  0.259037
2021-09-10 01:35:46.425805 : Epoch  7, Batch    466, Loss  0.535661, Average Loss  0.541615, Time  0.258416
2021-09-10 01:35:48.330910 : Epoch  7, Batch    467, Loss  0.541452, Average Loss  0.541538, Time  0.258705
2021-09-10 01:35:50.222772 : Epoch  7, Batch    468, Loss  0.540875, Average Loss  0.541507, Time  0.261626
2021-09-10 01:35:52.110860 : Epoch  7, Batch    469, Loss  0.537908, Average Loss  0.541514, Time  0.261935
2021-09-10 01:35:54.006856 : Epoch  7, Batch    470, Loss  0.543232, Average Loss  0.541526, Time  0.259808
2021-09-10 01:35:55.899811 : Epoch  7, Batch    471, Loss  0.533693, Average Loss  0.541519, Time  0.263742
2021-09-10 01:35:57.778128 : Epoch  7, Batch    472, Loss  0.540288, Average Loss  0.541524, Time  0.258447
2021-09-10 01:35:59.666851 : Epoch  7, Batch    473, Loss  0.539254, Average Loss  0.541558, Time  0.258836
2021-09-10 01:36:01.566866 : Epoch  7, Batch    474, Loss  0.539644, Average Loss  0.541504, Time  0.258315
2021-09-10 01:36:03.479928 : Epoch  7, Batch    475, Loss  0.545405, Average Loss  0.541519, Time  0.258404
2021-09-10 01:36:05.380772 : Epoch  7, Batch    476, Loss  0.529343, Average Loss  0.541527, Time  0.262405
2021-09-10 01:36:07.305174 : Epoch  7, Batch    477, Loss  0.538148, Average Loss  0.541513, Time  0.259340
2021-09-10 01:36:09.235834 : Epoch  7, Batch    478, Loss  0.526353, Average Loss  0.541417, Time  0.258850
2021-09-10 01:37:19.045746 : CheckPoint: Validation Loss  0.00022077, Best Loss  0.00022031
2021-09-10 01:37:20.965892 : Epoch  7, Batch    479, Loss  0.534140, Average Loss  0.541359, Time  0.268313
2021-09-10 01:37:22.909833 : Epoch  7, Batch    480, Loss  0.538425, Average Loss  0.541339, Time  0.266129
2021-09-10 01:37:24.833811 : Epoch  7, Batch    481, Loss  0.540035, Average Loss  0.541392, Time  0.258725
2021-09-10 01:37:26.747791 : Epoch  7, Batch    482, Loss  0.529158, Average Loss  0.541333, Time  0.258261
2021-09-10 01:37:28.662088 : Epoch  7, Batch    483, Loss  0.520447, Average Loss  0.541211, Time  0.257923
2021-09-10 01:37:30.572851 : Epoch  7, Batch    484, Loss  0.532935, Average Loss  0.541144, Time  0.270347
2021-09-10 01:37:32.489840 : Epoch  7, Batch    485, Loss  0.539656, Average Loss  0.541153, Time  0.266991
2021-09-10 01:37:34.385791 : Epoch  7, Batch    486, Loss  0.534162, Average Loss  0.541110, Time  0.261408
2021-09-10 01:37:36.263827 : Epoch  7, Batch    487, Loss  0.543952, Average Loss  0.541047, Time  0.258841
2021-09-10 01:37:38.137815 : Epoch  7, Batch    488, Loss  0.551610, Average Loss  0.541130, Time  0.261372
2021-09-10 01:37:40.018141 : Epoch  7, Batch    489, Loss  0.535666, Average Loss  0.541150, Time  0.258343
2021-09-10 01:37:41.909907 : Epoch  7, Batch    490, Loss  0.536907, Average Loss  0.541134, Time  0.258882
2021-09-10 01:37:43.793844 : Epoch  7, Batch    491, Loss  0.543423, Average Loss  0.541107, Time  0.258528
2021-09-10 01:37:45.697899 : Epoch  7, Batch    492, Loss  0.536679, Average Loss  0.541105, Time  0.259349
2021-09-10 01:37:47.583815 : Epoch  7, Batch    493, Loss  0.532553, Average Loss  0.541168, Time  0.258366
2021-09-10 01:37:49.476841 : Epoch  7, Batch    494, Loss  0.537868, Average Loss  0.541204, Time  0.257897
2021-09-10 01:37:51.374128 : Epoch  7, Batch    495, Loss  0.543067, Average Loss  0.541163, Time  0.258321
2021-09-10 01:37:53.309787 : Epoch  7, Batch    496, Loss  0.555471, Average Loss  0.541236, Time  0.262458
2021-09-10 01:37:55.236789 : Epoch  7, Batch    497, Loss  0.516837, Average Loss  0.541099, Time  0.259610
2021-09-10 01:37:57.124813 : Epoch  7, Batch    498, Loss  0.536445, Average Loss  0.541083, Time  0.262559
2021-09-10 01:37:59.027129 : Epoch  7, Batch    499, Loss  0.542919, Average Loss  0.541123, Time  0.260519
2021-09-10 01:38:00.906910 : Epoch  7, Batch    500, Loss  0.539031, Average Loss  0.541122, Time  0.261833
2021-09-10 01:38:02.793343 : Epoch  7, Batch    501, Loss  0.538706, Average Loss  0.541069, Time  0.258179
2021-09-10 01:38:04.659094 : Epoch  7, Batch    502, Loss  0.532183, Average Loss  0.541043, Time  0.258702
2021-09-10 01:38:06.584092 : Epoch  7, Batch    503, Loss  0.535069, Average Loss  0.541041, Time  0.258757
2021-09-10 01:38:08.501885 : Epoch  7, Batch    504, Loss  0.535640, Average Loss  0.541042, Time  0.258240
2021-09-10 01:38:10.432843 : Epoch  7, Batch    505, Loss  0.547280, Average Loss  0.540999, Time  0.267028
2021-09-10 01:38:12.337944 : Epoch  7, Batch    506, Loss  0.540715, Average Loss  0.540936, Time  0.258570
2021-09-10 01:38:14.213319 : Epoch  7, Batch    507, Loss  0.541719, Average Loss  0.540887, Time  0.258410
2021-09-10 01:38:16.091070 : Epoch  7, Batch    508, Loss  0.553444, Average Loss  0.540922, Time  0.264483
2021-09-10 01:38:18.007136 : Epoch  7, Batch    509, Loss  0.552765, Average Loss  0.541003, Time  0.261916
2021-09-10 01:38:19.918805 : Epoch  7, Batch    510, Loss  0.541411, Average Loss  0.541052, Time  0.262145
2021-09-10 01:38:21.806087 : Epoch  7, Batch    511, Loss  0.535468, Average Loss  0.541073, Time  0.262537
2021-09-10 01:38:23.695090 : Epoch  7, Batch    512, Loss  0.536430, Average Loss  0.541046, Time  0.267570
2021-09-10 01:38:25.617099 : Epoch  7, Batch    513, Loss  0.551369, Average Loss  0.541110, Time  0.260985
2021-09-10 01:38:27.522487 : Epoch  7, Batch    514, Loss  0.548381, Average Loss  0.541167, Time  0.261592
2021-09-10 01:38:29.395079 : Epoch  7, Batch    515, Loss  0.532599, Average Loss  0.541305, Time  0.258274
2021-09-10 01:38:31.295101 : Epoch  7, Batch    516, Loss  0.546677, Average Loss  0.541323, Time  0.258679
2021-09-10 01:38:33.237070 : Epoch  7, Batch    517, Loss  0.541683, Average Loss  0.541286, Time  0.258118
2021-09-10 01:38:35.153883 : Epoch  7, Batch    518, Loss  0.545112, Average Loss  0.541173, Time  0.266014
2021-09-10 01:38:37.082961 : Epoch  7, Batch    519, Loss  0.553014, Average Loss  0.541182, Time  0.264171
2021-09-10 01:38:38.994095 : Epoch  7, Batch    520, Loss  0.518600, Average Loss  0.540990, Time  0.258508
2021-09-10 01:38:40.902998 : Epoch  7, Batch    521, Loss  0.540525, Average Loss  0.540940, Time  0.260124
2021-09-10 01:38:42.816849 : Epoch  7, Batch    522, Loss  0.538089, Average Loss  0.540912, Time  0.261950
2021-09-10 01:38:44.733799 : Epoch  7, Batch    523, Loss  0.539414, Average Loss  0.540883, Time  0.266280
2021-09-10 01:38:46.623134 : Epoch  7, Batch    524, Loss  0.549625, Average Loss  0.540911, Time  0.261763
2021-09-10 01:38:48.502814 : Epoch  7, Batch    525, Loss  0.537764, Average Loss  0.540822, Time  0.258286
2021-09-10 01:38:50.413817 : Epoch  7, Batch    526, Loss  0.540757, Average Loss  0.540765, Time  0.264199
2021-09-10 01:38:52.283611 : Epoch  7, Batch    527, Loss  0.542191, Average Loss  0.540633, Time  0.258819
2021-09-10 01:38:53.665713 : CheckPoint: Validation Loss  0.00060881, Best Loss  0.00056427
2021-09-10 01:38:54.166849 : Epoch  7, Batch    528, Loss  0.547760, Average Loss  0.540618, Time  0.260167
2021-09-10 01:38:55.536139 : Epoch  8, Batch   1124, Loss  0.891041, Average Loss  0.866000, Time  0.435894
2021-09-10 01:38:56.091090 : Epoch  7, Batch    529, Loss  0.542157, Average Loss  0.540529, Time  0.258852
2021-09-10 01:38:57.430789 : Epoch  8, Batch   1125, Loss  0.845743, Average Loss  0.866104, Time  0.454876
2021-09-10 01:38:57.989865 : Epoch  7, Batch    530, Loss  0.544015, Average Loss  0.540550, Time  0.259785
2021-09-10 01:38:59.218786 : Epoch  8, Batch   1126, Loss  0.852847, Average Loss  0.866031, Time  0.352041
2021-09-10 01:38:59.904089 : Epoch  7, Batch    531, Loss  0.543160, Average Loss  0.540533, Time  0.269104
2021-09-10 01:39:00.986234 : Epoch  8, Batch   1127, Loss  0.877509, Average Loss  0.866134, Time  0.358083
2021-09-10 01:39:01.787904 : Epoch  7, Batch    532, Loss  0.550705, Average Loss  0.540586, Time  0.262226
2021-09-10 01:39:02.820037 : Epoch  8, Batch   1128, Loss  0.852138, Average Loss  0.866004, Time  0.390629
2021-09-10 01:39:03.672908 : Epoch  7, Batch    533, Loss  0.532879, Average Loss  0.540469, Time  0.259037
2021-09-10 01:39:04.724785 : Epoch  8, Batch   1129, Loss  0.870393, Average Loss  0.865950, Time  0.450538
2021-09-10 01:39:05.560782 : Epoch  7, Batch    534, Loss  0.534493, Average Loss  0.540462, Time  0.258378
2021-09-10 01:39:06.594777 : Epoch  8, Batch   1130, Loss  0.857409, Average Loss  0.865826, Time  0.431865
2021-09-10 01:39:07.443765 : Epoch  7, Batch    535, Loss  0.539879, Average Loss  0.540448, Time  0.270957
2021-09-10 01:39:08.382166 : Epoch  8, Batch   1131, Loss  0.839401, Average Loss  0.865816, Time  0.356389
2021-09-10 01:39:09.341243 : Epoch  7, Batch    536, Loss  0.534223, Average Loss  0.540368, Time  0.265080
2021-09-10 01:39:10.169810 : Epoch  8, Batch   1132, Loss  0.866196, Average Loss  0.865883, Time  0.358217
2021-09-10 01:39:11.202452 : Epoch  7, Batch    537, Loss  0.542941, Average Loss  0.540349, Time  0.258893
2021-09-10 01:39:12.009770 : Epoch  8, Batch   1133, Loss  0.877946, Average Loss  0.865899, Time  0.433535
2021-09-10 01:39:13.146017 : Epoch  7, Batch    538, Loss  0.536934, Average Loss  0.540306, Time  0.264436
2021-09-10 01:39:13.880774 : Epoch  8, Batch   1134, Loss  0.855373, Average Loss  0.865904, Time  0.454576
2021-09-10 01:39:15.085024 : Epoch  7, Batch    539, Loss  0.550718, Average Loss  0.540353, Time  0.259082
2021-09-10 01:39:15.682765 : Epoch  8, Batch   1135, Loss  0.854403, Average Loss  0.865891, Time  0.361674
2021-09-10 01:39:17.024929 : Epoch  7, Batch    540, Loss  0.540846, Average Loss  0.540255, Time  0.272388
2021-09-10 01:39:17.495500 : Epoch  8, Batch   1136, Loss  0.844217, Average Loss  0.865779, Time  0.359634
2021-09-10 01:39:18.948794 : Epoch  7, Batch    541, Loss  0.546821, Average Loss  0.540282, Time  0.267171
2021-09-10 01:39:19.274203 : Epoch  8, Batch   1137, Loss  0.874686, Average Loss  0.865852, Time  0.380079
2021-09-10 01:39:20.883152 : Epoch  7, Batch    542, Loss  0.557308, Average Loss  0.540388, Time  0.258959
2021-09-10 01:39:21.128763 : Epoch  8, Batch   1138, Loss  0.898593, Average Loss  0.866041, Time  0.448035
2021-09-10 01:39:22.765989 : Epoch  7, Batch    543, Loss  0.526609, Average Loss  0.540284, Time  0.259074
2021-09-10 01:39:22.928777 : Epoch  8, Batch   1139, Loss  0.833945, Average Loss  0.865828, Time  0.356274
2021-09-10 01:39:24.656111 : Epoch  7, Batch    544, Loss  0.545741, Average Loss  0.540306, Time  0.262326
2021-09-10 01:39:24.734783 : Epoch  8, Batch   1140, Loss  0.878715, Average Loss  0.865840, Time  0.355323
2021-09-10 01:39:26.549771 : Epoch  8, Batch   1141, Loss  0.882819, Average Loss  0.865793, Time  0.379260
2021-09-10 01:39:26.584946 : Epoch  7, Batch    545, Loss  0.542943, Average Loss  0.540229, Time  0.262452
2021-09-10 01:39:28.451773 : Epoch  8, Batch   1142, Loss  0.884228, Average Loss  0.865798, Time  0.451257
2021-09-10 01:39:28.491884 : Epoch  7, Batch    546, Loss  0.535082, Average Loss  0.540187, Time  0.262323
2021-09-10 01:39:30.237787 : Epoch  8, Batch   1143, Loss  0.887047, Average Loss  0.865701, Time  0.356029
2021-09-10 01:39:30.412941 : Epoch  7, Batch    547, Loss  0.550335, Average Loss  0.540193, Time  0.263471
2021-09-10 01:39:32.016788 : Epoch  8, Batch   1144, Loss  0.867613, Average Loss  0.865656, Time  0.357042
2021-09-10 01:39:32.308076 : Epoch  7, Batch    548, Loss  0.547497, Average Loss  0.540177, Time  0.261584
2021-09-10 01:39:33.859421 : Epoch  8, Batch   1145, Loss  0.868110, Average Loss  0.865556, Time  0.363290
2021-09-10 01:39:35.743937 : Epoch  8, Batch   1146, Loss  0.871077, Average Loss  0.865548, Time  0.454436
2021-09-10 01:39:36.314801 : Epoch  7, Batch    549, Loss  0.532301, Average Loss  0.540135, Time  0.275688
2021-09-10 01:39:37.520879 : Epoch  8, Batch   1147, Loss  0.874977, Average Loss  0.865603, Time  0.355326
2021-09-10 01:39:38.219080 : Epoch  7, Batch    550, Loss  0.539765, Average Loss  0.540156, Time  0.265050
2021-09-10 01:39:39.343786 : Epoch  8, Batch   1148, Loss  0.888518, Average Loss  0.865817, Time  0.356837
2021-09-10 01:39:40.089893 : Epoch  7, Batch    551, Loss  0.545037, Average Loss  0.540153, Time  0.259285
2021-09-10 01:39:41.157873 : Epoch  8, Batch   1149, Loss  0.857711, Average Loss  0.865704, Time  0.367226
2021-09-10 01:39:41.975872 : Epoch  7, Batch    552, Loss  0.555971, Average Loss  0.540272, Time  0.259199
2021-09-10 01:39:43.049787 : Epoch  8, Batch   1150, Loss  0.873136, Average Loss  0.865655, Time  0.451473
2021-09-10 01:39:43.855008 : Epoch  7, Batch    553, Loss  0.552685, Average Loss  0.540379, Time  0.260489
2021-09-10 01:39:44.833082 : Epoch  8, Batch   1151, Loss  0.877340, Average Loss  0.865679, Time  0.340582
2021-09-10 01:39:45.739981 : Epoch  7, Batch    554, Loss  0.536747, Average Loss  0.540385, Time  0.261411
2021-09-10 01:39:46.634002 : Epoch  8, Batch   1152, Loss  0.889521, Average Loss  0.865811, Time  0.356833
2021-09-10 01:39:47.653847 : Epoch  7, Batch    555, Loss  0.541106, Average Loss  0.540387, Time  0.258421
2021-09-10 01:39:48.460781 : Epoch  8, Batch   1153, Loss  0.868518, Average Loss  0.865640, Time  0.357521
2021-09-10 01:39:49.614850 : Epoch  7, Batch    556, Loss  0.546134, Average Loss  0.540392, Time  0.263056
2021-09-10 01:39:50.362779 : Epoch  8, Batch   1154, Loss  0.852864, Average Loss  0.865595, Time  0.452637
2021-09-10 01:39:51.550895 : Epoch  7, Batch    557, Loss  0.552004, Average Loss  0.540415, Time  0.275028
2021-09-10 01:39:52.168778 : Epoch  8, Batch   1155, Loss  0.862486, Average Loss  0.865775, Time  0.372496
2021-09-10 01:39:53.433259 : Epoch  7, Batch    558, Loss  0.544587, Average Loss  0.540449, Time  0.258331
2021-09-10 01:39:53.982781 : Epoch  8, Batch   1156, Loss  0.853559, Average Loss  0.865598, Time  0.355270
2021-09-10 01:39:55.311948 : Epoch  7, Batch    559, Loss  0.537418, Average Loss  0.540386, Time  0.265379
2021-09-10 01:39:55.811783 : Epoch  8, Batch   1157, Loss  0.869675, Average Loss  0.865586, Time  0.360188
2021-09-10 01:39:57.207082 : Epoch  7, Batch    560, Loss  0.530294, Average Loss  0.540312, Time  0.264180
2021-09-10 01:39:57.685842 : Epoch  8, Batch   1158, Loss  0.868376, Average Loss  0.865733, Time  0.446804
2021-09-10 01:39:59.119775 : Epoch  7, Batch    561, Loss  0.539756, Average Loss  0.540341, Time  0.261601
2021-09-10 01:39:59.567770 : Epoch  8, Batch   1159, Loss  0.845549, Average Loss  0.865870, Time  0.450394
2021-09-10 01:40:01.030032 : Epoch  7, Batch    562, Loss  0.546920, Average Loss  0.540305, Time  0.260480
2021-09-10 01:40:01.347774 : Epoch  8, Batch   1160, Loss  0.919037, Average Loss  0.866081, Time  0.354680
2021-09-10 01:40:02.906146 : Epoch  7, Batch    563, Loss  0.538418, Average Loss  0.540286, Time  0.261770
2021-09-10 01:40:03.115139 : Epoch  8, Batch   1161, Loss  0.871247, Average Loss  0.866095, Time  0.356637
2021-09-10 01:40:04.805093 : Epoch  7, Batch    564, Loss  0.548105, Average Loss  0.540363, Time  0.258142
2021-09-10 01:40:04.933773 : Epoch  8, Batch   1162, Loss  0.864341, Average Loss  0.866196, Time  0.419767
2021-09-10 01:40:06.676053 : Epoch  7, Batch    565, Loss  0.549565, Average Loss  0.540343, Time  0.258198
2021-09-10 01:40:06.826286 : Epoch  8, Batch   1163, Loss  0.894096, Average Loss  0.866351, Time  0.453894
2021-09-10 01:40:08.573791 : Epoch  7, Batch    566, Loss  0.535593, Average Loss  0.540306, Time  0.258264
2021-09-10 01:40:08.670322 : Epoch  8, Batch   1164, Loss  0.886554, Average Loss  0.866326, Time  0.357860
2021-09-10 01:40:10.436120 : Epoch  8, Batch   1165, Loss  0.866347, Average Loss  0.866327, Time  0.356723
2021-09-10 01:40:10.477897 : Epoch  7, Batch    567, Loss  0.540718, Average Loss  0.540295, Time  0.258472
2021-09-10 01:40:12.250140 : Epoch  8, Batch   1166, Loss  0.884517, Average Loss  0.866201, Time  0.386396
2021-09-10 01:40:12.406036 : Epoch  7, Batch    568, Loss  0.555119, Average Loss  0.540315, Time  0.266622
2021-09-10 01:40:14.140282 : Epoch  8, Batch   1167, Loss  0.828567, Average Loss  0.866023, Time  0.451399
2021-09-10 01:40:14.304743 : Epoch  7, Batch    569, Loss  0.528643, Average Loss  0.540231, Time  0.266880
2021-09-10 01:40:15.929379 : Epoch  8, Batch   1168, Loss  0.887891, Average Loss  0.866159, Time  0.348741
2021-09-10 01:40:16.189080 : Epoch  7, Batch    570, Loss  0.523407, Average Loss  0.540173, Time  0.258130
2021-09-10 01:40:17.714772 : Epoch  8, Batch   1169, Loss  0.858183, Average Loss  0.866028, Time  0.373087
2021-09-10 01:40:18.067949 : Epoch  7, Batch    571, Loss  0.537057, Average Loss  0.540057, Time  0.258743
2021-09-10 01:40:19.487790 : Epoch  8, Batch   1170, Loss  0.878993, Average Loss  0.866032, Time  0.355534
2021-09-10 01:40:19.978850 : Epoch  7, Batch    572, Loss  0.540690, Average Loss  0.540008, Time  0.264283
2021-09-10 01:40:21.386114 : Epoch  8, Batch   1171, Loss  0.866686, Average Loss  0.866117, Time  0.457142
2021-09-10 01:40:21.895935 : Epoch  7, Batch    573, Loss  0.526387, Average Loss  0.539930, Time  0.268756
2021-09-10 01:40:23.194779 : Epoch  8, Batch   1172, Loss  0.859640, Average Loss  0.866085, Time  0.366930
2021-09-10 01:40:23.774913 : Epoch  7, Batch    574, Loss  0.544959, Average Loss  0.539956, Time  0.258210
2021-09-10 01:40:24.974237 : Epoch  8, Batch   1173, Loss  0.884210, Average Loss  0.866137, Time  0.361189
2021-09-10 01:40:25.662826 : Epoch  7, Batch    575, Loss  0.548681, Average Loss  0.539924, Time  0.258150
2021-09-10 01:40:26.766779 : Epoch  8, Batch   1174, Loss  0.838737, Average Loss  0.866061, Time  0.363846
2021-09-10 01:40:27.542926 : Epoch  7, Batch    576, Loss  0.540889, Average Loss  0.539844, Time  0.262063
2021-09-10 01:40:28.630766 : Epoch  8, Batch   1175, Loss  0.850913, Average Loss  0.865960, Time  0.453704
2021-09-10 01:40:29.462807 : Epoch  7, Batch    577, Loss  0.538443, Average Loss  0.539865, Time  0.267356
2021-09-10 01:40:30.520784 : Epoch  8, Batch   1176, Loss  0.869859, Average Loss  0.866272, Time  0.450009
2021-09-10 01:40:31.360089 : Epoch  7, Batch    578, Loss  0.540873, Average Loss  0.539870, Time  0.261777
2021-09-10 01:40:32.328516 : Epoch  8, Batch   1177, Loss  0.880648, Average Loss  0.866224, Time  0.361102
2021-09-10 01:40:34.140115 : Epoch  8, Batch   1178, Loss  0.878092, Average Loss  0.866171, Time  0.364543
2021-09-10 01:40:35.965637 : Epoch  8, Batch   1179, Loss  0.840653, Average Loss  0.865958, Time  0.400689
2021-09-10 01:40:37.868133 : Epoch  8, Batch   1180, Loss  0.865787, Average Loss  0.866011, Time  0.460383
2021-09-10 01:40:39.665786 : Epoch  8, Batch   1181, Loss  0.870964, Average Loss  0.866034, Time  0.349984
2021-09-10 01:40:41.460765 : Epoch  8, Batch   1182, Loss  0.883570, Average Loss  0.866101, Time  0.358577
2021-09-10 01:40:43.265214 : Epoch  8, Batch   1183, Loss  0.844643, Average Loss  0.865999, Time  0.371738
2021-09-10 01:40:45.192786 : Epoch  8, Batch   1184, Loss  0.872536, Average Loss  0.866141, Time  0.454382
2021-09-10 01:40:47.064128 : Epoch  8, Batch   1185, Loss  0.853202, Average Loss  0.866112, Time  0.425995
2021-09-10 01:40:48.892778 : Epoch  8, Batch   1186, Loss  0.868755, Average Loss  0.866109, Time  0.359889
2021-09-10 01:40:50.660784 : Epoch  8, Batch   1187, Loss  0.869237, Average Loss  0.866257, Time  0.358539
2021-09-10 01:40:52.501120 : Epoch  8, Batch   1188, Loss  0.839507, Average Loss  0.866125, Time  0.418711
2021-09-10 01:40:54.411778 : Epoch  8, Batch   1189, Loss  0.861299, Average Loss  0.866071, Time  0.451210
2021-09-10 01:40:56.211831 : Epoch  8, Batch   1190, Loss  0.851005, Average Loss  0.866084, Time  0.358187
2021-09-10 01:40:57.997790 : Epoch  8, Batch   1191, Loss  0.856954, Average Loss  0.866117, Time  0.365734
2021-09-10 01:40:59.768786 : Epoch  8, Batch   1192, Loss  0.871235, Average Loss  0.866077, Time  0.357275
2021-09-10 01:41:01.680149 : Epoch  8, Batch   1193, Loss  0.879733, Average Loss  0.866060, Time  0.454499
2021-09-10 01:41:03.581788 : Epoch  8, Batch   1194, Loss  0.869022, Average Loss  0.866103, Time  0.443357
2021-09-10 01:41:05.388790 : Epoch  8, Batch   1195, Loss  0.863656, Average Loss  0.866249, Time  0.362160
2021-09-10 01:41:07.173771 : Epoch  8, Batch   1196, Loss  0.867079, Average Loss  0.866353, Time  0.356966
2021-09-10 01:41:09.008772 : Epoch  8, Batch   1197, Loss  0.836774, Average Loss  0.866209, Time  0.406914
2021-09-10 01:41:10.870766 : Epoch  8, Batch   1198, Loss  0.871854, Average Loss  0.866359, Time  0.451237
2021-09-10 01:41:12.647771 : Epoch  8, Batch   1199, Loss  0.892449, Average Loss  0.866547, Time  0.368450
2021-09-10 01:41:14.420838 : Epoch  8, Batch   1200, Loss  0.864582, Average Loss  0.866533, Time  0.356006
2021-09-10 01:41:16.238767 : Epoch  8, Batch   1201, Loss  0.884773, Average Loss  0.866676, Time  0.391550
2021-09-10 01:41:18.145782 : Epoch  8, Batch   1202, Loss  0.885392, Average Loss  0.866751, Time  0.465451
2021-09-10 01:41:19.930767 : Epoch  8, Batch   1203, Loss  0.869765, Average Loss  0.866963, Time  0.347901
2021-09-10 01:41:21.801832 : Epoch  8, Batch   1204, Loss  0.877641, Average Loss  0.867110, Time  0.358074
2021-09-10 01:41:23.611828 : Epoch  8, Batch   1205, Loss  0.864357, Average Loss  0.867128, Time  0.356839
2021-09-10 01:41:25.521788 : Epoch  8, Batch   1206, Loss  0.898342, Average Loss  0.867203, Time  0.454340
2021-09-10 01:41:27.426331 : Epoch  8, Batch   1207, Loss  0.899338, Average Loss  0.867278, Time  0.449866
2021-09-10 01:41:29.242767 : Epoch  8, Batch   1208, Loss  0.894279, Average Loss  0.867325, Time  0.358598
2021-09-10 01:41:31.053766 : Epoch  8, Batch   1209, Loss  0.872254, Average Loss  0.867314, Time  0.359512
2021-09-10 01:41:32.859776 : Epoch  8, Batch   1210, Loss  0.861345, Average Loss  0.867214, Time  0.367227
2021-09-10 01:41:34.762787 : Epoch  8, Batch   1211, Loss  0.859853, Average Loss  0.867328, Time  0.452089
2021-09-10 01:41:36.646782 : Epoch  8, Batch   1212, Loss  0.873367, Average Loss  0.867387, Time  0.419718
2021-09-10 01:41:38.456881 : Epoch  8, Batch   1213, Loss  0.875879, Average Loss  0.867358, Time  0.358359
2021-09-10 01:41:40.259787 : Epoch  8, Batch   1214, Loss  0.870526, Average Loss  0.867394, Time  0.357002
2021-09-10 01:41:41.220757 : CheckPoint: Validation Loss  0.00022502, Best Loss  0.00022031
2021-09-10 01:41:42.123783 : Epoch  8, Batch   1215, Loss  0.856177, Average Loss  0.867404, Time  0.412134
2021-09-10 01:41:43.139935 : Epoch  7, Batch    579, Loss  0.543342, Average Loss  0.539910, Time  0.267786
2021-09-10 01:41:44.010769 : Epoch  8, Batch   1216, Loss  0.885380, Average Loss  0.867601, Time  0.452198
2021-09-10 01:41:45.012262 : Epoch  7, Batch    580, Loss  0.536031, Average Loss  0.539889, Time  0.258144
2021-09-10 01:41:45.777764 : Epoch  8, Batch   1217, Loss  0.844266, Average Loss  0.867374, Time  0.335544
2021-09-10 01:41:46.925794 : Epoch  7, Batch    581, Loss  0.538284, Average Loss  0.539836, Time  0.287377
2021-09-10 01:41:47.591784 : Epoch  8, Batch   1218, Loss  0.886933, Average Loss  0.867438, Time  0.356079
2021-09-10 01:41:48.820856 : Epoch  7, Batch    582, Loss  0.540253, Average Loss  0.539869, Time  0.259881
2021-09-10 01:41:49.387770 : Epoch  8, Batch   1219, Loss  0.868968, Average Loss  0.867518, Time  0.355424
2021-09-10 01:41:50.719879 : Epoch  7, Batch    583, Loss  0.534752, Average Loss  0.539847, Time  0.258439
2021-09-10 01:41:51.283768 : Epoch  8, Batch   1220, Loss  0.842897, Average Loss  0.867413, Time  0.450937
2021-09-10 01:41:52.620895 : Epoch  7, Batch    584, Loss  0.541768, Average Loss  0.539874, Time  0.257574
2021-09-10 01:41:53.084777 : Epoch  8, Batch   1221, Loss  0.838398, Average Loss  0.867337, Time  0.373332
2021-09-10 01:41:54.524148 : Epoch  7, Batch    585, Loss  0.540123, Average Loss  0.539860, Time  0.258020
2021-09-10 01:41:54.882787 : Epoch  8, Batch   1222, Loss  0.884774, Average Loss  0.867445, Time  0.360297
2021-09-10 01:41:56.426157 : Epoch  7, Batch    586, Loss  0.535237, Average Loss  0.539877, Time  0.258452
2021-09-10 01:41:56.681761 : Epoch  8, Batch   1223, Loss  0.894471, Average Loss  0.867635, Time  0.356667
2021-09-10 01:41:58.346574 : Epoch  7, Batch    587, Loss  0.545308, Average Loss  0.539898, Time  0.260892
2021-09-10 01:42:00.293245 : Epoch  7, Batch    588, Loss  0.538958, Average Loss  0.539896, Time  0.262239
2021-09-10 01:42:02.233960 : Epoch  7, Batch    589, Loss  0.546887, Average Loss  0.539926, Time  0.260839
2021-09-10 01:42:04.143053 : Epoch  7, Batch    590, Loss  0.534223, Average Loss  0.539854, Time  0.258671
2021-09-10 01:42:06.031082 : Epoch  7, Batch    591, Loss  0.518191, Average Loss  0.539734, Time  0.264928
2021-09-10 01:42:07.919887 : Epoch  7, Batch    592, Loss  0.544389, Average Loss  0.539752, Time  0.270294
2021-09-10 01:42:09.838914 : Epoch  7, Batch    593, Loss  0.521575, Average Loss  0.539612, Time  0.265597
2021-09-10 01:42:11.720165 : Epoch  7, Batch    594, Loss  0.532332, Average Loss  0.539609, Time  0.266613
2021-09-10 01:42:13.612176 : Epoch  7, Batch    595, Loss  0.539411, Average Loss  0.539633, Time  0.265848
2021-09-10 01:42:15.500154 : Epoch  7, Batch    596, Loss  0.528267, Average Loss  0.539607, Time  0.259305
2021-09-10 01:42:17.401265 : Epoch  7, Batch    597, Loss  0.554987, Average Loss  0.539694, Time  0.260627
2021-09-10 01:42:19.291159 : Epoch  7, Batch    598, Loss  0.543319, Average Loss  0.539728, Time  0.261129
2021-09-10 01:42:21.197924 : Epoch  7, Batch    599, Loss  0.534537, Average Loss  0.539716, Time  0.259137
2021-09-10 01:42:23.131795 : Epoch  7, Batch    600, Loss  0.545381, Average Loss  0.539770, Time  0.265112
2021-09-10 01:42:25.030382 : Epoch  7, Batch    601, Loss  0.542182, Average Loss  0.539803, Time  0.258610
2021-09-10 01:42:26.892212 : Epoch  7, Batch    602, Loss  0.541890, Average Loss  0.539789, Time  0.258814
2021-09-10 01:42:28.784323 : Epoch  7, Batch    603, Loss  0.541651, Average Loss  0.539719, Time  0.260823
2021-09-10 01:42:30.706314 : Epoch  7, Batch    604, Loss  0.534411, Average Loss  0.539693, Time  0.261513
2021-09-10 01:42:32.660857 : Epoch  7, Batch    605, Loss  0.522390, Average Loss  0.539594, Time  0.260768
2021-09-10 01:42:34.599469 : Epoch  7, Batch    606, Loss  0.535642, Average Loss  0.539563, Time  0.263203
2021-09-10 01:42:36.471526 : Epoch  7, Batch    607, Loss  0.534264, Average Loss  0.539491, Time  0.261443
2021-09-10 01:42:38.384066 : Epoch  7, Batch    608, Loss  0.535630, Average Loss  0.539457, Time  0.258527
2021-09-10 01:42:40.259777 : Epoch  7, Batch    609, Loss  0.540987, Average Loss  0.539489, Time  0.258341
2021-09-10 01:42:42.139841 : Epoch  7, Batch    610, Loss  0.533065, Average Loss  0.539427, Time  0.258261
2021-09-10 01:42:44.024515 : Epoch  7, Batch    611, Loss  0.547719, Average Loss  0.539444, Time  0.260317
2021-09-10 01:42:45.905081 : Epoch  7, Batch    612, Loss  0.548837, Average Loss  0.539448, Time  0.260857
2021-09-10 01:42:47.809893 : Epoch  7, Batch    613, Loss  0.523656, Average Loss  0.539472, Time  0.258321
2021-09-10 01:42:49.706095 : Epoch  7, Batch    614, Loss  0.538585, Average Loss  0.539462, Time  0.258539
2021-09-10 01:42:51.612886 : Epoch  7, Batch    615, Loss  0.551600, Average Loss  0.539519, Time  0.258190
2021-09-10 01:42:53.522910 : Epoch  7, Batch    616, Loss  0.533229, Average Loss  0.539488, Time  0.262832
2021-09-10 01:42:55.414855 : Epoch  7, Batch    617, Loss  0.524410, Average Loss  0.539408, Time  0.258798
2021-09-10 01:42:57.308261 : Epoch  7, Batch    618, Loss  0.545848, Average Loss  0.539416, Time  0.267582
2021-09-10 01:42:59.216929 : Epoch  7, Batch    619, Loss  0.541670, Average Loss  0.539504, Time  0.267635
2021-09-10 01:43:01.085987 : Epoch  7, Batch    620, Loss  0.545087, Average Loss  0.539544, Time  0.264907
2021-09-10 01:43:02.968832 : Epoch  7, Batch    621, Loss  0.538603, Average Loss  0.539608, Time  0.265839
2021-09-10 01:43:04.867939 : Epoch  7, Batch    622, Loss  0.543788, Average Loss  0.539534, Time  0.258523
2021-09-10 01:43:06.778818 : Epoch  7, Batch    623, Loss  0.544966, Average Loss  0.539549, Time  0.270468
2021-09-10 01:43:08.656090 : Epoch  7, Batch    624, Loss  0.527696, Average Loss  0.539430, Time  0.258647
2021-09-10 01:43:10.515548 : Epoch  7, Batch    625, Loss  0.544944, Average Loss  0.539471, Time  0.258189
2021-09-10 01:43:12.394872 : Epoch  7, Batch    626, Loss  0.536014, Average Loss  0.539453, Time  0.262371
2021-09-10 01:43:14.265851 : Epoch  7, Batch    627, Loss  0.540509, Average Loss  0.539490, Time  0.258529
2021-09-10 01:43:16.148835 : Epoch  7, Batch    628, Loss  0.539661, Average Loss  0.539529, Time  0.258494
2021-09-10 01:43:18.037815 : Epoch  7, Batch    629, Loss  0.539324, Average Loss  0.539564, Time  0.259422
2021-09-10 01:43:19.937882 : Epoch  7, Batch    630, Loss  0.549852, Average Loss  0.539567, Time  0.260985
2021-09-10 01:43:21.829772 : Epoch  7, Batch    631, Loss  0.537484, Average Loss  0.539567, Time  0.264510
2021-09-10 01:43:23.750087 : Epoch  7, Batch    632, Loss  0.542684, Average Loss  0.539573, Time  0.259234
2021-09-10 01:43:25.656818 : Epoch  7, Batch    633, Loss  0.538522, Average Loss  0.539619, Time  0.264459
2021-09-10 01:43:27.553935 : Epoch  7, Batch    634, Loss  0.532029, Average Loss  0.539597, Time  0.258614
2021-09-10 01:43:29.436791 : Epoch  7, Batch    635, Loss  0.541138, Average Loss  0.539641, Time  0.258452
2021-09-10 01:43:31.314995 : Epoch  7, Batch    636, Loss  0.548013, Average Loss  0.539625, Time  0.260668
2021-09-10 01:43:33.217770 : Epoch  7, Batch    637, Loss  0.526762, Average Loss  0.539479, Time  0.259138
2021-09-10 01:43:35.121929 : Epoch  7, Batch    638, Loss  0.547360, Average Loss  0.539486, Time  0.260514
2021-09-10 01:43:36.976553 : Epoch  7, Batch    639, Loss  0.550213, Average Loss  0.539525, Time  0.258212
2021-09-10 01:43:38.840927 : Epoch  7, Batch    640, Loss  0.538267, Average Loss  0.539540, Time  0.258302
2021-09-10 01:43:40.718786 : Epoch  7, Batch    641, Loss  0.555491, Average Loss  0.539673, Time  0.269637
2021-09-10 01:43:42.608914 : Epoch  7, Batch    642, Loss  0.542975, Average Loss  0.539710, Time  0.264894
2021-09-10 01:43:44.504852 : Epoch  7, Batch    643, Loss  0.540902, Average Loss  0.539668, Time  0.264527
2021-09-10 01:43:46.378096 : Epoch  7, Batch    644, Loss  0.533009, Average Loss  0.539605, Time  0.258321
2021-09-10 01:43:48.283789 : Epoch  7, Batch    645, Loss  0.536773, Average Loss  0.539587, Time  0.262010
2021-09-10 01:43:50.165896 : Epoch  7, Batch    646, Loss  0.538241, Average Loss  0.539618, Time  0.264017
2021-09-10 01:43:52.052129 : Epoch  7, Batch    647, Loss  0.535412, Average Loss  0.539629, Time  0.258044
2021-09-10 01:43:53.949084 : Epoch  7, Batch    648, Loss  0.550916, Average Loss  0.539705, Time  0.258441
2021-09-10 01:43:57.974839 : Epoch  7, Batch    649, Loss  0.537569, Average Loss  0.539723, Time  0.265955
2021-09-10 01:43:59.875165 : Epoch  7, Batch    650, Loss  0.546851, Average Loss  0.539765, Time  0.270601
2021-09-10 01:44:01.765894 : Epoch  7, Batch    651, Loss  0.527225, Average Loss  0.539775, Time  0.261979
2021-09-10 01:44:03.649988 : Epoch  7, Batch    652, Loss  0.538531, Average Loss  0.539819, Time  0.261766
2021-09-10 01:44:05.527890 : Epoch  7, Batch    653, Loss  0.542886, Average Loss  0.539841, Time  0.261631
2021-09-10 01:44:07.415829 : Epoch  7, Batch    654, Loss  0.528770, Average Loss  0.539810, Time  0.258959
2021-09-10 01:44:09.289092 : Epoch  7, Batch    655, Loss  0.547691, Average Loss  0.539824, Time  0.268625
2021-09-10 01:44:11.195115 : Epoch  7, Batch    656, Loss  0.546626, Average Loss  0.539811, Time  0.265734
2021-09-10 01:44:13.102925 : Epoch  7, Batch    657, Loss  0.548319, Average Loss  0.539882, Time  0.265832
2021-09-10 01:44:14.994090 : Epoch  7, Batch    658, Loss  0.535164, Average Loss  0.539814, Time  0.259899
2021-09-10 01:44:16.882882 : Epoch  7, Batch    659, Loss  0.537065, Average Loss  0.539736, Time  0.259079
2021-09-10 01:44:18.792113 : Epoch  7, Batch    660, Loss  0.531157, Average Loss  0.539725, Time  0.263005
2021-09-10 01:44:20.652250 : Epoch  7, Batch    661, Loss  0.540414, Average Loss  0.539733, Time  0.258366
2021-09-10 01:44:22.527107 : Epoch  7, Batch    662, Loss  0.539740, Average Loss  0.539786, Time  0.263581
2021-09-10 01:44:24.431832 : Epoch  7, Batch    663, Loss  0.550277, Average Loss  0.539824, Time  0.270170
2021-09-10 01:44:26.388092 : Epoch  7, Batch    664, Loss  0.535786, Average Loss  0.539840, Time  0.270481
2021-09-10 01:44:28.287794 : Epoch  7, Batch    665, Loss  0.551469, Average Loss  0.539940, Time  0.270324
2021-09-10 01:44:30.217926 : Epoch  7, Batch    666, Loss  0.551550, Average Loss  0.540019, Time  0.270618
2021-09-10 01:44:32.144832 : Epoch  7, Batch    667, Loss  0.533783, Average Loss  0.539981, Time  0.257926
2021-09-10 01:44:34.076075 : Epoch  7, Batch    668, Loss  0.553010, Average Loss  0.540042, Time  0.258212
2021-09-10 01:44:36.000846 : Epoch  7, Batch    669, Loss  0.539155, Average Loss  0.540048, Time  0.258305
2021-09-10 01:44:37.926901 : Epoch  7, Batch    670, Loss  0.540328, Average Loss  0.540033, Time  0.257944
2021-09-10 01:44:39.819787 : Epoch  7, Batch    671, Loss  0.542744, Average Loss  0.540079, Time  0.258046
2021-09-10 01:44:41.736087 : Epoch  7, Batch    672, Loss  0.541144, Average Loss  0.540083, Time  0.258484
2021-09-10 01:44:43.624834 : Epoch  7, Batch    673, Loss  0.525820, Average Loss  0.540016, Time  0.257828
2021-09-10 01:44:45.556799 : Epoch  7, Batch    674, Loss  0.544377, Average Loss  0.540039, Time  0.258723
2021-09-10 01:44:47.451076 : Epoch  7, Batch    675, Loss  0.551807, Average Loss  0.540071, Time  0.258233
2021-09-10 01:44:49.352787 : Epoch  7, Batch    676, Loss  0.543471, Average Loss  0.540142, Time  0.258269
2021-09-10 01:44:51.237063 : Epoch  7, Batch    677, Loss  0.540071, Average Loss  0.540152, Time  0.257754
2021-09-10 01:44:53.147850 : Epoch  7, Batch    678, Loss  0.544801, Average Loss  0.540244, Time  0.258180
2021-09-10 01:46:03.418754 : CheckPoint: Validation Loss  0.00022836, Best Loss  0.00022031
2021-09-10 01:46:05.350833 : Epoch  7, Batch    679, Loss  0.544593, Average Loss  0.540296, Time  0.262778
2021-09-10 01:46:07.235879 : Epoch  7, Batch    680, Loss  0.543363, Average Loss  0.540321, Time  0.260075
2021-09-10 01:46:09.132829 : Epoch  7, Batch    681, Loss  0.540127, Average Loss  0.540321, Time  0.265144
2021-09-10 01:46:11.043921 : Epoch  7, Batch    682, Loss  0.537614, Average Loss  0.540364, Time  0.258471
2021-09-10 01:46:12.940777 : Epoch  7, Batch    683, Loss  0.547481, Average Loss  0.540499, Time  0.258229
2021-09-10 01:46:14.863795 : Epoch  7, Batch    684, Loss  0.536208, Average Loss  0.540515, Time  0.271440
2021-09-10 01:46:16.766917 : Epoch  7, Batch    685, Loss  0.551300, Average Loss  0.540573, Time  0.262835
2021-09-10 01:46:18.677865 : Epoch  7, Batch    686, Loss  0.545749, Average Loss  0.540631, Time  0.270148
2021-09-10 01:46:20.565863 : Epoch  7, Batch    687, Loss  0.547352, Average Loss  0.540648, Time  0.258664
2021-09-10 01:46:22.462083 : Epoch  7, Batch    688, Loss  0.554979, Average Loss  0.540665, Time  0.264120
2021-09-10 01:46:24.345090 : Epoch  7, Batch    689, Loss  0.537283, Average Loss  0.540673, Time  0.264434
2021-09-10 01:46:26.229079 : Epoch  7, Batch    690, Loss  0.547071, Average Loss  0.540724, Time  0.262823
2021-09-10 01:46:28.092931 : Epoch  7, Batch    691, Loss  0.539817, Average Loss  0.540706, Time  0.258162
2021-09-10 01:46:29.967069 : Epoch  7, Batch    692, Loss  0.538306, Average Loss  0.540714, Time  0.258231
2021-09-10 01:46:31.844820 : Epoch  7, Batch    693, Loss  0.534774, Average Loss  0.540725, Time  0.258883
2021-09-10 01:46:33.733956 : Epoch  7, Batch    694, Loss  0.542313, Average Loss  0.540748, Time  0.261388
2021-09-10 01:46:35.627795 : Epoch  7, Batch    695, Loss  0.546766, Average Loss  0.540766, Time  0.259164
2021-09-10 01:46:37.519135 : Epoch  7, Batch    696, Loss  0.535819, Average Loss  0.540668, Time  0.264403
2021-09-10 01:46:39.392399 : Epoch  7, Batch    697, Loss  0.532922, Average Loss  0.540748, Time  0.261418
2021-09-10 01:46:41.276078 : Epoch  7, Batch    698, Loss  0.539910, Average Loss  0.540766, Time  0.258370
2021-09-10 01:46:43.181836 : Epoch  7, Batch    699, Loss  0.533616, Average Loss  0.540719, Time  0.258650
2021-09-10 01:46:45.106969 : Epoch  7, Batch    700, Loss  0.528273, Average Loss  0.540665, Time  0.264447
2021-09-10 01:46:47.011798 : Epoch  7, Batch    701, Loss  0.536770, Average Loss  0.540656, Time  0.265372
2021-09-10 01:46:48.186725 : CheckPoint: Validation Loss  0.00059690, Best Loss  0.00056427
2021-09-10 01:46:48.934869 : Epoch  7, Batch    702, Loss  0.545271, Average Loss  0.540721, Time  0.267098
2021-09-10 01:46:49.987952 : Epoch  8, Batch   1224, Loss  0.864863, Average Loss  0.867689, Time  0.356469
2021-09-10 01:46:50.834793 : Epoch  7, Batch    703, Loss  0.529507, Average Loss  0.540693, Time  0.258605
2021-09-10 01:46:51.843769 : Epoch  8, Batch   1225, Loss  0.894361, Average Loss  0.867844, Time  0.396751
2021-09-10 01:46:52.747095 : Epoch  7, Batch    704, Loss  0.543016, Average Loss  0.540730, Time  0.260275
2021-09-10 01:46:53.740784 : Epoch  8, Batch   1226, Loss  0.874445, Average Loss  0.867949, Time  0.452986
2021-09-10 01:46:54.663881 : Epoch  7, Batch    705, Loss  0.541765, Average Loss  0.540702, Time  0.258085
2021-09-10 01:46:55.605791 : Epoch  8, Batch   1227, Loss  0.891611, Average Loss  0.868014, Time  0.407061
2021-09-10 01:46:56.565058 : Epoch  7, Batch    706, Loss  0.539727, Average Loss  0.540698, Time  0.258108
2021-09-10 01:46:57.407786 : Epoch  8, Batch   1228, Loss  0.850447, Average Loss  0.867862, Time  0.356790
2021-09-10 01:46:58.494803 : Epoch  7, Batch    707, Loss  0.540676, Average Loss  0.540692, Time  0.257825
2021-09-10 01:46:59.215787 : Epoch  8, Batch   1229, Loss  0.832643, Average Loss  0.867690, Time  0.356995
2021-09-10 01:47:00.403852 : Epoch  7, Batch    708, Loss  0.538481, Average Loss  0.540617, Time  0.258167
2021-09-10 01:47:01.097110 : Epoch  8, Batch   1230, Loss  0.867497, Average Loss  0.867601, Time  0.418614
2021-09-10 01:47:02.321820 : Epoch  7, Batch    709, Loss  0.529927, Average Loss  0.540503, Time  0.258760
2021-09-10 01:47:02.991766 : Epoch  8, Batch   1231, Loss  0.826810, Average Loss  0.867537, Time  0.449683
2021-09-10 01:47:04.297063 : Epoch  7, Batch    710, Loss  0.537500, Average Loss  0.540484, Time  0.258040
2021-09-10 01:47:04.787187 : Epoch  8, Batch   1232, Loss  0.891115, Average Loss  0.867542, Time  0.348539
2021-09-10 01:47:06.194892 : Epoch  7, Batch    711, Loss  0.535205, Average Loss  0.540482, Time  0.258577
2021-09-10 01:47:06.574933 : Epoch  8, Batch   1233, Loss  0.874895, Average Loss  0.867663, Time  0.356819
2021-09-10 01:47:08.105794 : Epoch  7, Batch    712, Loss  0.550167, Average Loss  0.540551, Time  0.258208
2021-09-10 01:47:08.334030 : Epoch  8, Batch   1234, Loss  0.851062, Average Loss  0.867573, Time  0.369105
2021-09-10 01:47:09.990556 : Epoch  7, Batch    713, Loss  0.540254, Average Loss  0.540496, Time  0.258313
2021-09-10 01:47:10.188294 : Epoch  8, Batch   1235, Loss  0.846978, Average Loss  0.867530, Time  0.455880
2021-09-10 01:47:11.868972 : Epoch  7, Batch    714, Loss  0.544859, Average Loss  0.540478, Time  0.258111
2021-09-10 01:47:11.949842 : Epoch  8, Batch   1236, Loss  0.873381, Average Loss  0.867815, Time  0.360002
2021-09-10 01:47:13.708766 : Epoch  8, Batch   1237, Loss  0.893940, Average Loss  0.867895, Time  0.365268
2021-09-10 01:47:13.751875 : Epoch  7, Batch    715, Loss  0.548467, Average Loss  0.540557, Time  0.260315
2021-09-10 01:47:15.500844 : Epoch  8, Batch   1238, Loss  0.883822, Average Loss  0.867954, Time  0.371869
2021-09-10 01:47:15.612765 : Epoch  7, Batch    716, Loss  0.535601, Average Loss  0.540502, Time  0.258208
2021-09-10 01:47:17.367193 : Epoch  8, Batch   1239, Loss  0.862251, Average Loss  0.867799, Time  0.455355
2021-09-10 01:47:17.484826 : Epoch  7, Batch    717, Loss  0.540756, Average Loss  0.540497, Time  0.257888
2021-09-10 01:47:19.201784 : Epoch  8, Batch   1240, Loss  0.863351, Average Loss  0.867751, Time  0.406076
2021-09-10 01:47:19.385051 : Epoch  7, Batch    718, Loss  0.544259, Average Loss  0.540493, Time  0.257991
2021-09-10 01:47:20.990775 : Epoch  8, Batch   1241, Loss  0.879507, Average Loss  0.867831, Time  0.357036
2021-09-10 01:47:21.256768 : Epoch  7, Batch    719, Loss  0.553704, Average Loss  0.540496, Time  0.257973
2021-09-10 01:47:22.778824 : Epoch  8, Batch   1242, Loss  0.850887, Average Loss  0.867648, Time  0.359020
2021-09-10 01:47:23.122044 : Epoch  7, Batch    720, Loss  0.535282, Average Loss  0.540580, Time  0.258376
2021-09-10 01:47:24.679782 : Epoch  8, Batch   1243, Loss  0.868776, Average Loss  0.867585, Time  0.451280
2021-09-10 01:47:25.004788 : Epoch  7, Batch    721, Loss  0.560976, Average Loss  0.540682, Time  0.257914
2021-09-10 01:47:26.565079 : Epoch  8, Batch   1244, Loss  0.878418, Average Loss  0.867588, Time  0.458616
2021-09-10 01:47:26.899906 : Epoch  7, Batch    722, Loss  0.523432, Average Loss  0.540609, Time  0.258031
2021-09-10 01:47:28.346782 : Epoch  8, Batch   1245, Loss  0.875021, Average Loss  0.867641, Time  0.360357
2021-09-10 01:47:28.818918 : Epoch  7, Batch    723, Loss  0.534840, Average Loss  0.540586, Time  0.258143
2021-09-10 01:47:30.177842 : Epoch  8, Batch   1246, Loss  0.866804, Average Loss  0.867639, Time  0.362403
2021-09-10 01:47:30.722064 : Epoch  7, Batch    724, Loss  0.529158, Average Loss  0.540484, Time  0.257973
2021-09-10 01:47:31.997781 : Epoch  8, Batch   1247, Loss  0.851248, Average Loss  0.867625, Time  0.363560
2021-09-10 01:47:32.643843 : Epoch  7, Batch    725, Loss  0.541500, Average Loss  0.540502, Time  0.257867
2021-09-10 01:47:33.895828 : Epoch  8, Batch   1248, Loss  0.881413, Average Loss  0.867684, Time  0.460708
2021-09-10 01:47:34.562060 : Epoch  7, Batch    726, Loss  0.532778, Average Loss  0.540462, Time  0.258090
2021-09-10 01:47:35.751785 : Epoch  8, Batch   1249, Loss  0.869164, Average Loss  0.867643, Time  0.424842
2021-09-10 01:47:36.494854 : Epoch  7, Batch    727, Loss  0.545256, Average Loss  0.540478, Time  0.260252
2021-09-10 01:47:37.559815 : Epoch  8, Batch   1250, Loss  0.862701, Average Loss  0.867604, Time  0.357753
2021-09-10 01:47:38.397865 : Epoch  7, Batch    728, Loss  0.548026, Average Loss  0.540479, Time  0.258453
2021-09-10 01:47:39.348978 : Epoch  8, Batch   1251, Loss  0.840178, Average Loss  0.867372, Time  0.357477
2021-09-10 01:47:40.320853 : Epoch  7, Batch    729, Loss  0.541561, Average Loss  0.540476, Time  0.258031
2021-09-10 01:47:41.217786 : Epoch  8, Batch   1252, Loss  0.895961, Average Loss  0.867385, Time  0.433916
2021-09-10 01:47:42.220062 : Epoch  7, Batch    730, Loss  0.530857, Average Loss  0.540410, Time  0.258444
2021-09-10 01:47:43.118795 : Epoch  8, Batch   1253, Loss  0.871511, Average Loss  0.867480, Time  0.459392
2021-09-10 01:47:44.154764 : Epoch  7, Batch    731, Loss  0.539988, Average Loss  0.540394, Time  0.258119
2021-09-10 01:47:44.972763 : Epoch  8, Batch   1254, Loss  0.875679, Average Loss  0.867522, Time  0.381301
2021-09-10 01:47:46.078924 : Epoch  7, Batch    732, Loss  0.534912, Average Loss  0.540315, Time  0.258559
2021-09-10 01:47:46.789810 : Epoch  8, Batch   1255, Loss  0.880802, Average Loss  0.867711, Time  0.378585
2021-09-10 01:47:47.985820 : Epoch  7, Batch    733, Loss  0.536445, Average Loss  0.540333, Time  0.258066
2021-09-10 01:47:48.563768 : Epoch  8, Batch   1256, Loss  0.861209, Average Loss  0.867509, Time  0.357385
2021-09-10 01:47:49.902879 : Epoch  7, Batch    734, Loss  0.538760, Average Loss  0.540355, Time  0.258564
2021-09-10 01:47:50.444835 : Epoch  8, Batch   1257, Loss  0.870126, Average Loss  0.867506, Time  0.449728
2021-09-10 01:47:51.817053 : Epoch  7, Batch    735, Loss  0.546496, Average Loss  0.540388, Time  0.258194
2021-09-10 01:47:52.332843 : Epoch  8, Batch   1258, Loss  0.833843, Average Loss  0.867457, Time  0.467138
2021-09-10 01:47:53.716967 : Epoch  7, Batch    736, Loss  0.547534, Average Loss  0.540454, Time  0.258227
2021-09-10 01:47:54.083775 : Epoch  8, Batch   1259, Loss  0.895201, Average Loss  0.867548, Time  0.364053
2021-09-10 01:47:55.620842 : Epoch  7, Batch    737, Loss  0.540366, Average Loss  0.540441, Time  0.257915
2021-09-10 01:47:55.853842 : Epoch  8, Batch   1260, Loss  0.881389, Average Loss  0.867738, Time  0.357858
2021-09-10 01:47:57.494866 : Epoch  7, Batch    738, Loss  0.529571, Average Loss  0.540405, Time  0.258371
2021-09-10 01:47:57.669763 : Epoch  8, Batch   1261, Loss  0.845435, Average Loss  0.867715, Time  0.406171
2021-09-10 01:47:59.381055 : Epoch  7, Batch    739, Loss  0.541751, Average Loss  0.540360, Time  0.257742
2021-09-10 01:47:59.520779 : Epoch  8, Batch   1262, Loss  0.845529, Average Loss  0.867738, Time  0.452603
2021-09-10 01:48:01.259901 : Epoch  7, Batch    740, Loss  0.542669, Average Loss  0.540369, Time  0.258208
2021-09-10 01:48:01.298823 : Epoch  8, Batch   1263, Loss  0.872836, Average Loss  0.867638, Time  0.362440
2021-09-10 01:48:03.069849 : Epoch  8, Batch   1264, Loss  0.868868, Average Loss  0.867775, Time  0.355478
2021-09-10 01:48:03.221822 : Epoch  7, Batch    741, Loss  0.538808, Average Loss  0.540329, Time  0.311658
2021-09-10 01:48:04.942775 : Epoch  8, Batch   1265, Loss  0.868176, Average Loss  0.867855, Time  0.378237
2021-09-10 01:48:05.113847 : Epoch  7, Batch    742, Loss  0.534566, Average Loss  0.540215, Time  0.258265
2021-09-10 01:48:06.860782 : Epoch  8, Batch   1266, Loss  0.877878, Average Loss  0.867862, Time  0.454111
2021-09-10 01:48:06.972805 : Epoch  7, Batch    743, Loss  0.540262, Average Loss  0.540283, Time  0.258185
2021-09-10 01:48:08.775775 : Epoch  8, Batch   1267, Loss  0.852838, Average Loss  0.867861, Time  0.471843
2021-09-10 01:48:08.898101 : Epoch  7, Batch    744, Loss  0.529782, Average Loss  0.540204, Time  0.295699
2021-09-10 01:48:10.615788 : Epoch  8, Batch   1268, Loss  0.870338, Average Loss  0.867937, Time  0.361556
2021-09-10 01:48:10.782815 : Epoch  7, Batch    745, Loss  0.538623, Average Loss  0.540182, Time  0.265585
2021-09-10 01:48:12.398842 : Epoch  8, Batch   1269, Loss  0.865971, Average Loss  0.867989, Time  0.355992
2021-09-10 01:48:12.661071 : Epoch  7, Batch    746, Loss  0.545545, Average Loss  0.540234, Time  0.264474
2021-09-10 01:48:14.232778 : Epoch  8, Batch   1270, Loss  0.889958, Average Loss  0.868093, Time  0.396408
2021-09-10 01:48:14.549801 : Epoch  7, Batch    747, Loss  0.535147, Average Loss  0.540158, Time  0.262327
2021-09-10 01:48:16.133790 : Epoch  8, Batch   1271, Loss  0.873550, Average Loss  0.868240, Time  0.449758
2021-09-10 01:48:16.425083 : Epoch  7, Batch    748, Loss  0.537251, Average Loss  0.540107, Time  0.258902
2021-09-10 01:48:17.929987 : Epoch  8, Batch   1272, Loss  0.840379, Average Loss  0.868118, Time  0.353100
2021-09-10 01:48:19.733786 : Epoch  8, Batch   1273, Loss  0.850209, Average Loss  0.868215, Time  0.356703
2021-09-10 01:48:20.489805 : Epoch  7, Batch    749, Loss  0.526264, Average Loss  0.540077, Time  0.268119
2021-09-10 01:48:21.543769 : Epoch  8, Batch   1274, Loss  0.897030, Average Loss  0.868346, Time  0.356633
2021-09-10 01:48:22.405142 : Epoch  7, Batch    750, Loss  0.540320, Average Loss  0.540080, Time  0.263678
2021-09-10 01:48:23.440046 : Epoch  8, Batch   1275, Loss  0.829081, Average Loss  0.868094, Time  0.452196
2021-09-10 01:48:24.302856 : Epoch  7, Batch    751, Loss  0.521952, Average Loss  0.539964, Time  0.258126
2021-09-10 01:48:25.253787 : Epoch  8, Batch   1276, Loss  0.898763, Average Loss  0.868295, Time  0.376404
2021-09-10 01:48:26.181938 : Epoch  7, Batch    752, Loss  0.541280, Average Loss  0.539891, Time  0.259128
2021-09-10 01:48:27.063781 : Epoch  8, Batch   1277, Loss  0.847697, Average Loss  0.868190, Time  0.358478
2021-09-10 01:48:28.080062 : Epoch  7, Batch    753, Loss  0.544151, Average Loss  0.539848, Time  0.258829
2021-09-10 01:48:28.877777 : Epoch  8, Batch   1278, Loss  0.850553, Average Loss  0.868180, Time  0.357639
2021-09-10 01:48:29.962790 : Epoch  7, Batch    754, Loss  0.528943, Average Loss  0.539809, Time  0.271178
2021-09-10 01:48:30.758835 : Epoch  8, Batch   1279, Loss  0.838585, Average Loss  0.868104, Time  0.446637
2021-09-10 01:48:31.852923 : Epoch  7, Batch    755, Loss  0.537909, Average Loss  0.539793, Time  0.263606
2021-09-10 01:48:32.661829 : Epoch  8, Batch   1280, Loss  0.861718, Average Loss  0.868180, Time  0.450259
2021-09-10 01:48:33.730960 : Epoch  7, Batch    756, Loss  0.526085, Average Loss  0.539693, Time  0.258142
2021-09-10 01:48:34.477862 : Epoch  8, Batch   1281, Loss  0.871890, Average Loss  0.868193, Time  0.357133
2021-09-10 01:48:35.604880 : Epoch  7, Batch    757, Loss  0.544401, Average Loss  0.539655, Time  0.258888
2021-09-10 01:48:36.295092 : Epoch  8, Batch   1282, Loss  0.853753, Average Loss  0.868125, Time  0.357227
2021-09-10 01:48:37.486791 : Epoch  7, Batch    758, Loss  0.538824, Average Loss  0.539626, Time  0.258804
2021-09-10 01:48:38.102071 : Epoch  8, Batch   1283, Loss  0.864597, Average Loss  0.868048, Time  0.363467
2021-09-10 01:48:39.369202 : Epoch  7, Batch    759, Loss  0.545957, Average Loss  0.539669, Time  0.259649
2021-09-10 01:48:39.996784 : Epoch  8, Batch   1284, Loss  0.861348, Average Loss  0.868029, Time  0.452032
2021-09-10 01:48:41.271103 : Epoch  7, Batch    760, Loss  0.541776, Average Loss  0.539726, Time  0.258037
2021-09-10 01:48:41.874832 : Epoch  8, Batch   1285, Loss  0.826710, Average Loss  0.868001, Time  0.413811
2021-09-10 01:48:43.179959 : Epoch  7, Batch    761, Loss  0.528930, Average Loss  0.539672, Time  0.257988
2021-09-10 01:48:43.668909 : Epoch  8, Batch   1286, Loss  0.859900, Average Loss  0.867783, Time  0.356278
2021-09-10 01:48:45.072709 : Epoch  7, Batch    762, Loss  0.531064, Average Loss  0.539593, Time  0.258247
2021-09-10 01:48:45.450093 : Epoch  8, Batch   1287, Loss  0.865335, Average Loss  0.867850, Time  0.356052
2021-09-10 01:48:46.940823 : Epoch  7, Batch    763, Loss  0.528321, Average Loss  0.539542, Time  0.263914
2021-09-10 01:48:47.316774 : Epoch  8, Batch   1288, Loss  0.865040, Average Loss  0.868000, Time  0.431616
2021-09-10 01:48:48.834003 : Epoch  7, Batch    764, Loss  0.534567, Average Loss  0.539475, Time  0.262322
2021-09-10 01:48:49.210938 : Epoch  8, Batch   1289, Loss  0.849349, Average Loss  0.868092, Time  0.449973
2021-09-10 01:48:50.712933 : Epoch  7, Batch    765, Loss  0.545531, Average Loss  0.539454, Time  0.259140
2021-09-10 01:48:50.993961 : Epoch  8, Batch   1290, Loss  0.886111, Average Loss  0.868216, Time  0.336179
2021-09-10 01:48:52.608849 : Epoch  7, Batch    766, Loss  0.534267, Average Loss  0.539448, Time  0.260193
2021-09-10 01:48:52.797042 : Epoch  8, Batch   1291, Loss  0.880882, Average Loss  0.868370, Time  0.372385
2021-09-10 01:48:54.508772 : Epoch  7, Batch    767, Loss  0.556539, Average Loss  0.539527, Time  0.258276
2021-09-10 01:48:54.582772 : Epoch  8, Batch   1292, Loss  0.860054, Average Loss  0.868288, Time  0.369721
2021-09-10 01:48:56.401701 : Epoch  7, Batch    768, Loss  0.540050, Average Loss  0.539452, Time  0.259295
2021-09-10 01:48:56.517832 : Epoch  8, Batch   1293, Loss  0.853133, Average Loss  0.868154, Time  0.504383
2021-09-10 01:48:58.314804 : Epoch  7, Batch    769, Loss  0.531218, Average Loss  0.539464, Time  0.263778
2021-09-10 01:48:58.368798 : Epoch  8, Batch   1294, Loss  0.898217, Average Loss  0.868145, Time  0.406826
2021-09-10 01:49:00.163784 : Epoch  8, Batch   1295, Loss  0.867824, Average Loss  0.867995, Time  0.359025
2021-09-10 01:49:00.224927 : Epoch  7, Batch    770, Loss  0.538294, Average Loss  0.539539, Time  0.258386
2021-09-10 01:49:01.942851 : Epoch  8, Batch   1296, Loss  0.861336, Average Loss  0.867816, Time  0.355520
2021-09-10 01:49:02.133053 : Epoch  7, Batch    771, Loss  0.551559, Average Loss  0.539611, Time  0.259474
2021-09-10 01:49:03.802789 : Epoch  8, Batch   1297, Loss  0.881324, Average Loss  0.867970, Time  0.432973
2021-09-10 01:49:04.008997 : Epoch  7, Batch    772, Loss  0.531872, Average Loss  0.539567, Time  0.257997
2021-09-10 01:49:05.721441 : Epoch  8, Batch   1298, Loss  0.853886, Average Loss  0.867708, Time  0.451747
2021-09-10 01:49:05.924762 : Epoch  7, Batch    773, Loss  0.537455, Average Loss  0.539623, Time  0.274053
2021-09-10 01:49:07.476783 : Epoch  8, Batch   1299, Loss  0.854760, Average Loss  0.867585, Time  0.336645
2021-09-10 01:49:07.816868 : Epoch  7, Batch    774, Loss  0.551494, Average Loss  0.539655, Time  0.258149
2021-09-10 01:49:09.301908 : Epoch  8, Batch   1300, Loss  0.855768, Average Loss  0.867581, Time  0.355349
2021-09-10 01:49:09.741911 : Epoch  7, Batch    775, Loss  0.540380, Average Loss  0.539614, Time  0.257993
2021-09-10 01:49:11.107783 : Epoch  8, Batch   1301, Loss  0.861136, Average Loss  0.867439, Time  0.359180
2021-09-10 01:49:11.646981 : Epoch  7, Batch    776, Loss  0.521241, Average Loss  0.539516, Time  0.263091
2021-09-10 01:49:13.010825 : Epoch  8, Batch   1302, Loss  0.895375, Average Loss  0.867638, Time  0.454244
2021-09-10 01:49:13.562110 : Epoch  7, Batch    777, Loss  0.547034, Average Loss  0.539559, Time  0.260927
2021-09-10 01:49:14.909197 : Epoch  8, Batch   1303, Loss  0.866165, Average Loss  0.867567, Time  0.448298
2021-09-10 01:49:15.480814 : Epoch  7, Batch    778, Loss  0.537616, Average Loss  0.539542, Time  0.266570
2021-09-10 01:49:16.723653 : Epoch  8, Batch   1304, Loss  0.881787, Average Loss  0.867611, Time  0.362354
2021-09-10 01:49:18.540791 : Epoch  8, Batch   1305, Loss  0.869477, Average Loss  0.867456, Time  0.357368
2021-09-10 01:49:20.381117 : Epoch  8, Batch   1306, Loss  0.889725, Average Loss  0.867500, Time  0.392321
2021-09-10 01:49:22.270766 : Epoch  8, Batch   1307, Loss  0.844403, Average Loss  0.867389, Time  0.461844
2021-09-10 01:49:24.075781 : Epoch  8, Batch   1308, Loss  0.867310, Average Loss  0.867346, Time  0.354819
2021-09-10 01:49:25.904363 : Epoch  8, Batch   1309, Loss  0.884430, Average Loss  0.867522, Time  0.362247
2021-09-10 01:49:27.699780 : Epoch  8, Batch   1310, Loss  0.876482, Average Loss  0.867613, Time  0.367128
2021-09-10 01:49:29.624798 : Epoch  8, Batch   1311, Loss  0.885219, Average Loss  0.867682, Time  0.460181
2021-09-10 01:49:31.514778 : Epoch  8, Batch   1312, Loss  0.881551, Average Loss  0.867606, Time  0.449460
2021-09-10 01:49:33.319930 : Epoch  8, Batch   1313, Loss  0.857338, Average Loss  0.867432, Time  0.356803
2021-09-10 01:49:35.140782 : Epoch  8, Batch   1314, Loss  0.894766, Average Loss  0.867628, Time  0.357592
2021-09-10 01:49:36.957197 : Epoch  8, Batch   1315, Loss  0.875073, Average Loss  0.867643, Time  0.376830
2021-09-10 01:49:38.852841 : Epoch  8, Batch   1316, Loss  0.877419, Average Loss  0.867732, Time  0.470169
2021-09-10 01:49:40.636048 : Epoch  8, Batch   1317, Loss  0.869442, Average Loss  0.867818, Time  0.357688
2021-09-10 01:49:42.443917 : Epoch  8, Batch   1318, Loss  0.859845, Average Loss  0.867715, Time  0.360119
2021-09-10 01:49:44.291851 : Epoch  8, Batch   1319, Loss  0.890519, Average Loss  0.867734, Time  0.367035
2021-09-10 01:49:46.206772 : Epoch  8, Batch   1320, Loss  0.878406, Average Loss  0.867898, Time  0.458599
2021-09-10 01:49:48.109923 : Epoch  8, Batch   1321, Loss  0.850611, Average Loss  0.867865, Time  0.452091
2021-09-10 01:49:49.951764 : Epoch  8, Batch   1322, Loss  0.839623, Average Loss  0.867964, Time  0.373514
2021-09-10 01:49:51.743908 : Epoch  8, Batch   1323, Loss  0.874541, Average Loss  0.867933, Time  0.362195
2021-09-10 01:50:25.745738 : CheckPoint: Validation Loss  0.00021723, Best Loss  0.00021723
2021-09-10 01:50:25.791614 : Best Model Updated
2021-09-10 01:50:28.844922 : Epoch  7, Batch    779, Loss  0.537405, Average Loss  0.539513, Time  0.275397
2021-09-10 01:50:30.738920 : Epoch  7, Batch    780, Loss  0.534950, Average Loss  0.539507, Time  0.259864
2021-09-10 01:50:32.647794 : Epoch  7, Batch    781, Loss  0.549106, Average Loss  0.539561, Time  0.258412
2021-09-10 01:50:34.514192 : Epoch  7, Batch    782, Loss  0.538704, Average Loss  0.539553, Time  0.258660
2021-09-10 01:50:36.378084 : Epoch  7, Batch    783, Loss  0.547543, Average Loss  0.539617, Time  0.261417
2021-09-10 01:50:38.265167 : Epoch  7, Batch    784, Loss  0.550520, Average Loss  0.539661, Time  0.258291
2021-09-10 01:50:40.153827 : Epoch  7, Batch    785, Loss  0.523484, Average Loss  0.539578, Time  0.262000
2021-09-10 01:50:42.047071 : Epoch  7, Batch    786, Loss  0.543569, Average Loss  0.539620, Time  0.266716
2021-09-10 01:50:43.943069 : Epoch  7, Batch    787, Loss  0.550229, Average Loss  0.539644, Time  0.258213
2021-09-10 01:50:44.037645 : Saving Model after 7-th Epoch.
2021-09-10 01:50:45.101670 : Epoch Finished.
2021-09-10 01:50:47.288676 : Batch Shuffled
2021-09-10 01:50:49.220091 : Epoch  8, Batch      1, Loss  0.539011, Average Loss  0.539645, Time  0.263736
2021-09-10 01:50:51.131848 : Epoch  8, Batch      2, Loss  0.536385, Average Loss  0.539592, Time  0.258467
2021-09-10 01:50:53.042817 : Epoch  8, Batch      3, Loss  0.526673, Average Loss  0.539554, Time  0.258686
2021-09-10 01:50:54.962780 : Epoch  8, Batch      4, Loss  0.544696, Average Loss  0.539687, Time  0.269992
2021-09-10 01:50:56.867954 : Epoch  8, Batch      5, Loss  0.534423, Average Loss  0.539637, Time  0.261810
2021-09-10 01:50:58.776145 : Epoch  8, Batch      6, Loss  0.547119, Average Loss  0.539765, Time  0.258311
2021-09-10 01:51:00.687859 : Epoch  8, Batch      7, Loss  0.547384, Average Loss  0.539840, Time  0.258094
2021-09-10 01:51:02.603092 : Epoch  8, Batch      8, Loss  0.520315, Average Loss  0.539744, Time  0.270293
2021-09-10 01:51:04.522102 : Epoch  8, Batch      9, Loss  0.538302, Average Loss  0.539795, Time  0.258446
2021-09-10 01:51:06.435107 : Epoch  8, Batch     10, Loss  0.541040, Average Loss  0.539725, Time  0.265540
2021-09-10 01:51:08.348922 : Epoch  8, Batch     11, Loss  0.529590, Average Loss  0.539656, Time  0.264863
2021-09-10 01:51:10.228108 : Epoch  8, Batch     12, Loss  0.545133, Average Loss  0.539709, Time  0.258702
2021-09-10 01:51:12.130818 : Epoch  8, Batch     13, Loss  0.530100, Average Loss  0.539633, Time  0.260722
2021-09-10 01:51:14.059902 : Epoch  8, Batch     14, Loss  0.546175, Average Loss  0.539653, Time  0.267024
2021-09-10 01:51:15.964113 : Epoch  8, Batch     15, Loss  0.553830, Average Loss  0.539713, Time  0.258913
2021-09-10 01:51:17.874794 : Epoch  8, Batch     16, Loss  0.545251, Average Loss  0.539731, Time  0.264665
2021-09-10 01:51:19.796877 : Epoch  8, Batch     17, Loss  0.539671, Average Loss  0.539757, Time  0.277670
2021-09-10 01:51:21.696099 : Epoch  8, Batch     18, Loss  0.550437, Average Loss  0.539897, Time  0.260337
2021-09-10 01:51:23.621147 : Epoch  8, Batch     19, Loss  0.538879, Average Loss  0.539913, Time  0.263914
2021-09-10 01:51:25.517941 : Epoch  8, Batch     20, Loss  0.536538, Average Loss  0.539925, Time  0.261878
2021-09-10 01:51:27.406085 : Epoch  8, Batch     21, Loss  0.526543, Average Loss  0.539879, Time  0.259270
2021-09-10 01:51:29.289934 : Epoch  8, Batch     22, Loss  0.535367, Average Loss  0.539851, Time  0.258471
2021-09-10 01:51:31.207782 : Epoch  8, Batch     23, Loss  0.549915, Average Loss  0.539935, Time  0.258739
2021-09-10 01:51:33.144774 : Epoch  8, Batch     24, Loss  0.547136, Average Loss  0.539932, Time  0.261215
2021-09-10 01:51:35.043885 : Epoch  8, Batch     25, Loss  0.549859, Average Loss  0.539938, Time  0.267452
2021-09-10 01:51:36.950882 : Epoch  8, Batch     26, Loss  0.542753, Average Loss  0.540033, Time  0.258667
2021-09-10 01:51:38.851780 : Epoch  8, Batch     27, Loss  0.529174, Average Loss  0.539986, Time  0.268742
2021-09-10 01:51:40.732100 : Epoch  8, Batch     28, Loss  0.531149, Average Loss  0.539884, Time  0.258431
2021-09-10 01:51:42.643768 : Epoch  8, Batch     29, Loss  0.538061, Average Loss  0.539908, Time  0.258188
2021-09-10 01:51:44.559112 : Epoch  8, Batch     30, Loss  0.543164, Average Loss  0.540002, Time  0.259933
2021-09-10 01:51:46.457092 : Epoch  8, Batch     31, Loss  0.534226, Average Loss  0.539943, Time  0.258684
2021-09-10 01:51:48.344848 : Epoch  8, Batch     32, Loss  0.543480, Average Loss  0.539953, Time  0.262430
2021-09-10 01:51:50.227082 : Epoch  8, Batch     33, Loss  0.554019, Average Loss  0.539997, Time  0.261132
2021-09-10 01:51:52.130830 : Epoch  8, Batch     34, Loss  0.535991, Average Loss  0.539984, Time  0.267008
2021-09-10 01:51:54.035085 : Epoch  8, Batch     35, Loss  0.527401, Average Loss  0.539902, Time  0.264672
2021-09-10 01:51:55.941090 : Epoch  8, Batch     36, Loss  0.534414, Average Loss  0.539849, Time  0.261665
2021-09-10 01:51:57.835171 : Epoch  8, Batch     37, Loss  0.551739, Average Loss  0.539970, Time  0.260017
2021-09-10 01:51:59.734100 : Epoch  8, Batch     38, Loss  0.535387, Average Loss  0.539922, Time  0.258803
2021-09-10 01:52:01.629156 : Epoch  8, Batch     39, Loss  0.537778, Average Loss  0.539931, Time  0.264870
2021-09-10 01:52:03.525763 : Epoch  8, Batch     40, Loss  0.545914, Average Loss  0.539958, Time  0.259915
2021-09-10 01:52:05.423762 : Epoch  8, Batch     41, Loss  0.537280, Average Loss  0.539946, Time  0.262387
2021-09-10 01:52:07.291077 : Epoch  8, Batch     42, Loss  0.520641, Average Loss  0.539852, Time  0.259100
2021-09-10 01:52:09.191036 : Epoch  8, Batch     43, Loss  0.534820, Average Loss  0.539777, Time  0.264606
2021-09-10 01:52:11.067882 : Epoch  8, Batch     44, Loss  0.540193, Average Loss  0.539791, Time  0.261304
2021-09-10 01:52:12.937770 : Epoch  8, Batch     45, Loss  0.542974, Average Loss  0.539792, Time  0.263092
2021-09-10 01:52:14.837833 : Epoch  8, Batch     46, Loss  0.538326, Average Loss  0.539791, Time  0.264579
2021-09-10 01:52:16.745859 : Epoch  8, Batch     47, Loss  0.538480, Average Loss  0.539824, Time  0.258836
2021-09-10 01:52:18.657897 : Epoch  8, Batch     48, Loss  0.539596, Average Loss  0.539816, Time  0.260371
2021-09-10 01:52:20.547948 : Epoch  8, Batch     49, Loss  0.540049, Average Loss  0.539776, Time  0.260650
2021-09-10 01:52:22.476889 : Epoch  8, Batch     50, Loss  0.533660, Average Loss  0.539810, Time  0.264289
2021-09-10 01:52:24.375099 : Epoch  8, Batch     51, Loss  0.547115, Average Loss  0.539809, Time  0.261670
2021-09-10 01:52:26.282916 : Epoch  8, Batch     52, Loss  0.530503, Average Loss  0.539711, Time  0.263957
2021-09-10 01:52:28.156215 : Epoch  8, Batch     53, Loss  0.540851, Average Loss  0.539724, Time  0.261009
2021-09-10 01:52:30.070909 : Epoch  8, Batch     54, Loss  0.536395, Average Loss  0.539628, Time  0.260493
2021-09-10 01:52:31.987793 : Epoch  8, Batch     55, Loss  0.530370, Average Loss  0.539565, Time  0.260129
2021-09-10 01:52:33.923103 : Epoch  8, Batch     56, Loss  0.537080, Average Loss  0.539546, Time  0.263545
2021-09-10 01:52:35.817094 : Epoch  8, Batch     57, Loss  0.554089, Average Loss  0.539651, Time  0.258878
2021-09-10 01:52:37.719769 : Epoch  8, Batch     58, Loss  0.547006, Average Loss  0.539703, Time  0.267302
2021-09-10 01:52:39.638971 : Epoch  8, Batch     59, Loss  0.542429, Average Loss  0.539724, Time  0.258232
2021-09-10 01:52:41.565812 : Epoch  8, Batch     60, Loss  0.530944, Average Loss  0.539701, Time  0.263602
2021-09-10 01:52:43.491093 : Epoch  8, Batch     61, Loss  0.545444, Average Loss  0.539674, Time  0.262754
2021-09-10 01:52:45.407138 : Epoch  8, Batch     62, Loss  0.531224, Average Loss  0.539642, Time  0.264579
2021-09-10 01:52:47.320938 : Epoch  8, Batch     63, Loss  0.550207, Average Loss  0.539659, Time  0.261723
2021-09-10 01:52:49.241819 : Epoch  8, Batch     64, Loss  0.541601, Average Loss  0.539731, Time  0.274203
2021-09-10 01:52:51.153848 : Epoch  8, Batch     65, Loss  0.531780, Average Loss  0.539697, Time  0.267264
2021-09-10 01:52:53.054813 : Epoch  8, Batch     66, Loss  0.525713, Average Loss  0.539611, Time  0.258467
2021-09-10 01:52:54.951879 : Epoch  8, Batch     67, Loss  0.532018, Average Loss  0.539627, Time  0.258473
2021-09-10 01:52:56.852894 : Epoch  8, Batch     68, Loss  0.558456, Average Loss  0.539681, Time  0.258931
2021-09-10 01:52:58.754075 : Epoch  8, Batch     69, Loss  0.556222, Average Loss  0.539729, Time  0.259258
2021-09-10 01:53:00.632086 : Epoch  8, Batch     70, Loss  0.538130, Average Loss  0.539678, Time  0.267545
2021-09-10 01:53:02.517882 : Epoch  8, Batch     71, Loss  0.548245, Average Loss  0.539744, Time  0.258864
2021-09-10 01:53:04.399208 : Epoch  8, Batch     72, Loss  0.532141, Average Loss  0.539719, Time  0.261566
2021-09-10 01:53:06.267838 : Epoch  8, Batch     73, Loss  0.537903, Average Loss  0.539753, Time  0.260957
2021-09-10 01:53:08.168882 : Epoch  8, Batch     74, Loss  0.551084, Average Loss  0.539806, Time  0.258507
2021-09-10 01:53:10.068102 : Epoch  8, Batch     75, Loss  0.532901, Average Loss  0.539772, Time  0.261732
2021-09-10 01:53:11.948118 : Epoch  8, Batch     76, Loss  0.533871, Average Loss  0.539690, Time  0.263844
2021-09-10 01:53:13.834764 : Epoch  8, Batch     77, Loss  0.530035, Average Loss  0.539661, Time  0.262768
2021-09-10 01:53:15.721871 : Epoch  8, Batch     78, Loss  0.544910, Average Loss  0.539628, Time  0.261285
2021-09-10 01:53:17.591885 : Epoch  8, Batch     79, Loss  0.539608, Average Loss  0.539569, Time  0.261255
2021-09-10 01:53:19.484969 : Epoch  8, Batch     80, Loss  0.539203, Average Loss  0.539596, Time  0.260382
2021-09-10 01:53:21.366787 : Epoch  8, Batch     81, Loss  0.544083, Average Loss  0.539551, Time  0.259125
2021-09-10 01:53:23.258890 : Epoch  8, Batch     82, Loss  0.525741, Average Loss  0.539484, Time  0.258177
2021-09-10 01:53:25.154112 : Epoch  8, Batch     83, Loss  0.529998, Average Loss  0.539432, Time  0.266129
2021-09-10 01:53:27.041774 : Epoch  8, Batch     84, Loss  0.525041, Average Loss  0.539344, Time  0.261284
2021-09-10 01:53:28.932627 : Epoch  8, Batch     85, Loss  0.533100, Average Loss  0.539304, Time  0.258493
2021-09-10 01:53:30.828766 : Epoch  8, Batch     86, Loss  0.530448, Average Loss  0.539327, Time  0.261298
2021-09-10 01:53:32.753791 : Epoch  8, Batch     87, Loss  0.536997, Average Loss  0.539290, Time  0.267229
2021-09-10 01:53:34.658113 : Epoch  8, Batch     88, Loss  0.538446, Average Loss  0.539223, Time  0.272901
2021-09-10 01:53:36.554824 : Epoch  8, Batch     89, Loss  0.535474, Average Loss  0.539183, Time  0.262588
2021-09-10 01:53:38.456828 : Epoch  8, Batch     90, Loss  0.547182, Average Loss  0.539219, Time  0.258196
2021-09-10 01:53:40.381790 : Epoch  8, Batch     91, Loss  0.534903, Average Loss  0.539169, Time  0.265970
2021-09-10 01:54:42.892722 : CheckPoint: Validation Loss  0.00059208, Best Loss  0.00056427
2021-09-10 01:54:44.706773 : Epoch  8, Batch   1324, Loss  0.888722, Average Loss  0.867922, Time  0.355144
2021-09-10 01:54:46.557800 : Epoch  8, Batch   1325, Loss  0.881533, Average Loss  0.868101, Time  0.398565
2021-09-10 01:54:48.490838 : Epoch  8, Batch   1326, Loss  0.863036, Average Loss  0.868152, Time  0.451858
2021-09-10 01:54:50.380794 : Epoch  8, Batch   1327, Loss  0.833170, Average Loss  0.867930, Time  0.426272
2021-09-10 01:54:50.430764 : CheckPoint: Validation Loss  0.00022155, Best Loss  0.00021723
2021-09-10 01:54:52.181164 : Epoch  8, Batch   1328, Loss  0.889931, Average Loss  0.868119, Time  0.358266
2021-09-10 01:54:52.364944 : Epoch  8, Batch     92, Loss  0.541820, Average Loss  0.539155, Time  0.267275
2021-09-10 01:54:54.002803 : Epoch  8, Batch   1329, Loss  0.916170, Average Loss  0.868348, Time  0.356895
2021-09-10 01:54:54.262837 : Epoch  8, Batch     93, Loss  0.536967, Average Loss  0.539123, Time  0.260311
2021-09-10 01:54:55.860788 : Epoch  8, Batch   1330, Loss  0.870599, Average Loss  0.868414, Time  0.396009
2021-09-10 01:54:56.175061 : Epoch  8, Batch     94, Loss  0.546784, Average Loss  0.539157, Time  0.264265
2021-09-10 01:54:57.788132 : Epoch  8, Batch   1331, Loss  0.869666, Average Loss  0.868565, Time  0.452991
2021-09-10 01:54:58.080835 : Epoch  8, Batch     95, Loss  0.557693, Average Loss  0.539257, Time  0.258475
2021-09-10 01:54:59.667788 : Epoch  8, Batch   1332, Loss  0.840936, Average Loss  0.868439, Time  0.422995
2021-09-10 01:54:59.958212 : Epoch  8, Batch     96, Loss  0.530182, Average Loss  0.539170, Time  0.261009
2021-09-10 01:55:01.484765 : Epoch  8, Batch   1333, Loss  0.869743, Average Loss  0.868398, Time  0.357567
2021-09-10 01:55:01.842795 : Epoch  8, Batch     97, Loss  0.539574, Average Loss  0.539187, Time  0.258637
2021-09-10 01:55:03.263419 : Epoch  8, Batch   1334, Loss  0.883041, Average Loss  0.868536, Time  0.357527
2021-09-10 01:55:03.718902 : Epoch  8, Batch     98, Loss  0.545436, Average Loss  0.539158, Time  0.262397
2021-09-10 01:55:05.121100 : Epoch  8, Batch   1335, Loss  0.849353, Average Loss  0.868511, Time  0.411496
2021-09-10 01:55:05.611762 : Epoch  8, Batch     99, Loss  0.536507, Average Loss  0.539112, Time  0.258428
2021-09-10 01:55:07.029234 : Epoch  8, Batch   1336, Loss  0.856723, Average Loss  0.868573, Time  0.454597
2021-09-10 01:55:07.498801 : Epoch  8, Batch    100, Loss  0.546155, Average Loss  0.539106, Time  0.267191
2021-09-10 01:55:09.033966 : Epoch  8, Batch   1337, Loss  0.818689, Average Loss  0.868293, Time  0.470876
2021-09-10 01:55:09.463488 : Epoch  8, Batch    101, Loss  0.541922, Average Loss  0.539040, Time  0.258405
2021-09-10 01:55:10.879765 : Epoch  8, Batch   1338, Loss  0.903369, Average Loss  0.868317, Time  0.366798
2021-09-10 01:55:11.330074 : Epoch  8, Batch    102, Loss  0.529132, Average Loss  0.539000, Time  0.258147
2021-09-10 01:55:12.698682 : Epoch  8, Batch   1339, Loss  0.865690, Average Loss  0.868476, Time  0.372428
2021-09-10 01:55:13.228081 : Epoch  8, Batch    103, Loss  0.534511, Average Loss  0.538937, Time  0.258193
2021-09-10 01:55:14.527778 : Epoch  8, Batch   1340, Loss  0.827688, Average Loss  0.868221, Time  0.377290
2021-09-10 01:55:15.157764 : Epoch  8, Batch    104, Loss  0.549387, Average Loss  0.538985, Time  0.258584
2021-09-10 01:55:16.427783 : Epoch  8, Batch   1341, Loss  0.872154, Average Loss  0.868168, Time  0.454500
2021-09-10 01:55:17.062906 : Epoch  8, Batch    105, Loss  0.533805, Average Loss  0.538962, Time  0.265161
2021-09-10 01:55:18.267243 : Epoch  8, Batch   1342, Loss  0.860815, Average Loss  0.868050, Time  0.395542
2021-09-10 01:55:18.957818 : Epoch  8, Batch    106, Loss  0.557372, Average Loss  0.539075, Time  0.263009
2021-09-10 01:55:20.064118 : Epoch  8, Batch   1343, Loss  0.869603, Average Loss  0.867963, Time  0.376194
2021-09-10 01:55:20.839909 : Epoch  8, Batch    107, Loss  0.542341, Average Loss  0.539075, Time  0.262517
2021-09-10 01:55:21.879267 : Epoch  8, Batch   1344, Loss  0.878851, Average Loss  0.868019, Time  0.369783
2021-09-10 01:55:22.720770 : Epoch  8, Batch    108, Loss  0.539983, Average Loss  0.539042, Time  0.258201
2021-09-10 01:55:23.764781 : Epoch  8, Batch   1345, Loss  0.843279, Average Loss  0.867895, Time  0.446811
2021-09-10 01:55:24.635083 : Epoch  8, Batch    109, Loss  0.538476, Average Loss  0.539055, Time  0.261591
2021-09-10 01:55:24.823831 : Epoch  8, Batch    110, Loss  0.421486, Average Loss  0.538498, Time  0.117521
2021-09-10 01:55:25.657781 : Epoch  8, Batch   1346, Loss  0.888084, Average Loss  0.867980, Time  0.456770
2021-09-10 01:55:26.727072 : Epoch  8, Batch    111, Loss  0.540130, Average Loss  0.538499, Time  0.270401
2021-09-10 01:55:27.467785 : Epoch  8, Batch   1347, Loss  0.872751, Average Loss  0.867969, Time  0.354864
2021-09-10 01:55:28.629792 : Epoch  8, Batch    112, Loss  0.546815, Average Loss  0.538565, Time  0.258957
2021-09-10 01:55:29.301767 : Epoch  8, Batch   1348, Loss  0.862481, Average Loss  0.867839, Time  0.356708
2021-09-10 01:55:30.548079 : Epoch  8, Batch    113, Loss  0.545411, Average Loss  0.538650, Time  0.263010
2021-09-10 01:55:31.115927 : Epoch  8, Batch   1349, Loss  0.858447, Average Loss  0.867843, Time  0.358043
2021-09-10 01:55:32.459830 : Epoch  8, Batch    114, Loss  0.574031, Average Loss  0.538837, Time  0.258164
2021-09-10 01:55:33.028984 : Epoch  8, Batch   1350, Loss  0.867881, Average Loss  0.867816, Time  0.453226
2021-09-10 01:55:34.382089 : Epoch  8, Batch    115, Loss  0.560699, Average Loss  0.538914, Time  0.258815
2021-09-10 01:55:34.897794 : Epoch  8, Batch   1351, Loss  0.851377, Average Loss  0.867687, Time  0.422988
2021-09-10 01:55:36.312877 : Epoch  8, Batch    116, Loss  0.547390, Average Loss  0.539003, Time  0.262662
2021-09-10 01:55:36.692935 : Epoch  8, Batch   1352, Loss  0.848736, Average Loss  0.867483, Time  0.356635
2021-09-10 01:55:38.219878 : Epoch  8, Batch    117, Loss  0.546493, Average Loss  0.539021, Time  0.268551
2021-09-10 01:55:38.492007 : Epoch  8, Batch   1353, Loss  0.868754, Average Loss  0.867484, Time  0.357990
2021-09-10 01:55:40.105768 : Epoch  8, Batch    118, Loss  0.545398, Average Loss  0.539039, Time  0.261868
2021-09-10 01:55:40.357764 : Epoch  8, Batch   1354, Loss  0.871758, Average Loss  0.867578, Time  0.416870
2021-09-10 01:55:41.999102 : Epoch  8, Batch    119, Loss  0.548679, Average Loss  0.539084, Time  0.262676
2021-09-10 01:55:42.241272 : Epoch  8, Batch   1355, Loss  0.873930, Average Loss  0.867636, Time  0.452899
2021-09-10 01:55:43.909839 : Epoch  8, Batch    120, Loss  0.558906, Average Loss  0.539175, Time  0.264992
2021-09-10 01:55:44.046801 : Epoch  8, Batch   1356, Loss  0.860185, Average Loss  0.867669, Time  0.345625
2021-09-10 01:55:45.818947 : Epoch  8, Batch    121, Loss  0.535141, Average Loss  0.539158, Time  0.267699
2021-09-10 01:55:45.896225 : Epoch  8, Batch   1357, Loss  0.860990, Average Loss  0.867625, Time  0.358304
2021-09-10 01:55:47.688785 : Epoch  8, Batch   1358, Loss  0.860167, Average Loss  0.867584, Time  0.358583
2021-09-10 01:55:47.730088 : Epoch  8, Batch    122, Loss  0.538740, Average Loss  0.539202, Time  0.260679
2021-09-10 01:55:49.721167 : Epoch  8, Batch   1359, Loss  0.863359, Average Loss  0.867673, Time  0.437355
2021-09-10 01:55:49.761480 : Epoch  8, Batch    123, Loss  0.545798, Average Loss  0.539244, Time  0.259196
2021-09-10 01:55:51.599372 : Epoch  8, Batch   1360, Loss  0.862237, Average Loss  0.867389, Time  0.462987
2021-09-10 01:55:51.686969 : Epoch  8, Batch    124, Loss  0.551730, Average Loss  0.539326, Time  0.258473
2021-09-10 01:55:53.390790 : Epoch  8, Batch   1361, Loss  0.859740, Average Loss  0.867332, Time  0.357715
2021-09-10 01:55:53.596084 : Epoch  8, Batch    125, Loss  0.541119, Average Loss  0.539281, Time  0.261754
2021-09-10 01:55:55.197789 : Epoch  8, Batch   1362, Loss  0.853794, Average Loss  0.867279, Time  0.357264
2021-09-10 01:55:55.507814 : Epoch  8, Batch    126, Loss  0.538047, Average Loss  0.539270, Time  0.258092
2021-09-10 01:55:57.032766 : Epoch  8, Batch   1363, Loss  0.872030, Average Loss  0.867169, Time  0.364224
2021-09-10 01:55:57.403899 : Epoch  8, Batch    127, Loss  0.542674, Average Loss  0.539259, Time  0.258340
2021-09-10 01:55:58.922790 : Epoch  8, Batch   1364, Loss  0.879907, Average Loss  0.867135, Time  0.451923
2021-09-10 01:55:59.321988 : Epoch  8, Batch    128, Loss  0.544443, Average Loss  0.539239, Time  0.278164
2021-09-10 01:56:00.704786 : Epoch  8, Batch   1365, Loss  0.886640, Average Loss  0.867237, Time  0.338116
2021-09-10 01:56:01.224797 : Epoch  8, Batch    129, Loss  0.559439, Average Loss  0.539358, Time  0.258223
2021-09-10 01:56:02.501091 : Epoch  8, Batch   1366, Loss  0.856508, Average Loss  0.867097, Time  0.355367
2021-09-10 01:56:03.144879 : Epoch  8, Batch    130, Loss  0.547098, Average Loss  0.539390, Time  0.263644
2021-09-10 01:56:04.318784 : Epoch  8, Batch   1367, Loss  0.889053, Average Loss  0.867399, Time  0.373216
2021-09-10 01:56:05.049084 : Epoch  8, Batch    131, Loss  0.549103, Average Loss  0.539414, Time  0.264734
2021-09-10 01:56:06.239777 : Epoch  8, Batch   1368, Loss  0.878719, Average Loss  0.867353, Time  0.455571
2021-09-10 01:56:06.960837 : Epoch  8, Batch    132, Loss  0.543070, Average Loss  0.539361, Time  0.268658
2021-09-10 01:56:08.126767 : Epoch  8, Batch   1369, Loss  0.858373, Average Loss  0.867354, Time  0.436674
2021-09-10 01:56:08.851861 : Epoch  8, Batch    133, Loss  0.538009, Average Loss  0.539374, Time  0.258631
2021-09-10 01:56:09.938780 : Epoch  8, Batch   1370, Loss  0.858906, Average Loss  0.867254, Time  0.374596
2021-09-10 01:56:10.778842 : Epoch  8, Batch    134, Loss  0.526352, Average Loss  0.539201, Time  0.258645
2021-09-10 01:56:11.747147 : Epoch  8, Batch   1371, Loss  0.876500, Average Loss  0.867303, Time  0.368811
2021-09-10 01:56:12.697017 : Epoch  8, Batch    135, Loss  0.547591, Average Loss  0.539322, Time  0.264386
2021-09-10 01:56:13.616137 : Epoch  8, Batch   1372, Loss  0.851419, Average Loss  0.867262, Time  0.424486
2021-09-10 01:56:14.608804 : Epoch  8, Batch    136, Loss  0.524999, Average Loss  0.539273, Time  0.265779
2021-09-10 01:56:15.496779 : Epoch  8, Batch   1373, Loss  0.878271, Average Loss  0.867232, Time  0.455300
2021-09-10 01:56:16.620792 : Epoch  8, Batch    137, Loss  0.548389, Average Loss  0.539369, Time  0.258522
2021-09-10 01:56:17.271779 : Epoch  8, Batch   1374, Loss  0.878691, Average Loss  0.867432, Time  0.355492
2021-09-10 01:56:18.527091 : Epoch  8, Batch    138, Loss  0.523813, Average Loss  0.539281, Time  0.258964
2021-09-10 01:56:19.059769 : Epoch  8, Batch   1375, Loss  0.879994, Average Loss  0.867577, Time  0.357900
2021-09-10 01:56:20.426109 : Epoch  8, Batch    139, Loss  0.539691, Average Loss  0.539315, Time  0.261500
2021-09-10 01:56:20.866774 : Epoch  8, Batch   1376, Loss  0.866722, Average Loss  0.867562, Time  0.381562
2021-09-10 01:56:22.320151 : Epoch  8, Batch    140, Loss  0.520120, Average Loss  0.539190, Time  0.264374
2021-09-10 01:56:22.775782 : Epoch  8, Batch   1377, Loss  0.889530, Average Loss  0.867606, Time  0.454539
2021-09-10 01:56:24.222128 : Epoch  8, Batch    141, Loss  0.520370, Average Loss  0.539051, Time  0.261077
2021-09-10 01:56:24.592774 : Epoch  8, Batch   1378, Loss  0.874570, Average Loss  0.867588, Time  0.388721
2021-09-10 01:56:26.111610 : Epoch  8, Batch    142, Loss  0.538396, Average Loss  0.539035, Time  0.258646
2021-09-10 01:56:26.396775 : Epoch  8, Batch   1379, Loss  0.856194, Average Loss  0.867666, Time  0.374966
2021-09-10 01:56:28.042772 : Epoch  8, Batch    143, Loss  0.547835, Average Loss  0.539120, Time  0.258337
2021-09-10 01:56:28.251834 : Epoch  8, Batch   1380, Loss  0.828555, Average Loss  0.867480, Time  0.419851
2021-09-10 01:56:29.992082 : Epoch  8, Batch    144, Loss  0.533609, Average Loss  0.539088, Time  0.257795
2021-09-10 01:56:30.114780 : Epoch  8, Batch   1381, Loss  0.850168, Average Loss  0.867376, Time  0.439159
2021-09-10 01:56:31.915811 : Epoch  8, Batch    145, Loss  0.531559, Average Loss  0.539072, Time  0.258182
2021-09-10 01:56:32.077966 : Epoch  8, Batch   1382, Loss  0.878804, Average Loss  0.867352, Time  0.525163
2021-09-10 01:56:33.855877 : Epoch  8, Batch    146, Loss  0.536994, Average Loss  0.539074, Time  0.257897
2021-09-10 01:56:33.951019 : Epoch  8, Batch   1383, Loss  0.849657, Average Loss  0.867377, Time  0.428168
2021-09-10 01:56:35.725868 : Epoch  8, Batch   1384, Loss  0.900457, Average Loss  0.867517, Time  0.361231
2021-09-10 01:56:35.762855 : Epoch  8, Batch    147, Loss  0.539983, Average Loss  0.539081, Time  0.258070
2021-09-10 01:56:37.528188 : Epoch  8, Batch   1385, Loss  0.853044, Average Loss  0.867516, Time  0.361283
2021-09-10 01:56:37.668823 : Epoch  8, Batch    148, Loss  0.545202, Average Loss  0.539074, Time  0.258622
2021-09-10 01:56:39.395196 : Epoch  8, Batch   1386, Loss  0.857582, Average Loss  0.867460, Time  0.423831
2021-09-10 01:56:39.596841 : Epoch  8, Batch    149, Loss  0.537638, Average Loss  0.539025, Time  0.258547
2021-09-10 01:56:41.302895 : Epoch  8, Batch   1387, Loss  0.891771, Average Loss  0.867573, Time  0.470085
2021-09-10 01:56:41.487795 : Epoch  8, Batch    150, Loss  0.537856, Average Loss  0.539012, Time  0.258104
2021-09-10 01:56:43.137206 : Epoch  8, Batch   1388, Loss  0.889109, Average Loss  0.867821, Time  0.393203
2021-09-10 01:56:43.392967 : Epoch  8, Batch    151, Loss  0.533511, Average Loss  0.539032, Time  0.257623
2021-09-10 01:56:44.980956 : Epoch  8, Batch   1389, Loss  0.862567, Average Loss  0.867827, Time  0.357086
2021-09-10 01:56:45.289793 : Epoch  8, Batch    152, Loss  0.532689, Average Loss  0.538986, Time  0.259688
2021-09-10 01:56:46.781768 : Epoch  8, Batch   1390, Loss  0.842945, Average Loss  0.867787, Time  0.354676
2021-09-10 01:56:47.191847 : Epoch  8, Batch    153, Loss  0.537382, Average Loss  0.538960, Time  0.258796
2021-09-10 01:56:48.651765 : Epoch  8, Batch   1391, Loss  0.843790, Average Loss  0.867721, Time  0.426782
2021-09-10 01:56:49.084835 : Epoch  8, Batch    154, Loss  0.526296, Average Loss  0.538897, Time  0.258476
2021-09-10 01:56:50.551764 : Epoch  8, Batch   1392, Loss  0.870760, Average Loss  0.867719, Time  0.453257
2021-09-10 01:56:50.980095 : Epoch  8, Batch    155, Loss  0.542356, Average Loss  0.538936, Time  0.258275
2021-09-10 01:56:52.344794 : Epoch  8, Batch   1393, Loss  0.867997, Average Loss  0.867660, Time  0.348177
2021-09-10 01:56:52.884787 : Epoch  8, Batch    156, Loss  0.537416, Average Loss  0.538922, Time  0.268481
2021-09-10 01:56:54.155781 : Epoch  8, Batch   1394, Loss  0.886986, Average Loss  0.867750, Time  0.355254
2021-09-10 01:56:54.794766 : Epoch  8, Batch    157, Loss  0.533521, Average Loss  0.538941, Time  0.261382
2021-09-10 01:56:55.960115 : Epoch  8, Batch   1395, Loss  0.886358, Average Loss  0.867863, Time  0.358412
2021-09-10 01:56:56.715889 : Epoch  8, Batch    158, Loss  0.536025, Average Loss  0.538928, Time  0.260760
2021-09-10 01:56:57.858097 : Epoch  8, Batch   1396, Loss  0.857173, Average Loss  0.867814, Time  0.452724
2021-09-10 01:56:58.628086 : Epoch  8, Batch    159, Loss  0.537362, Average Loss  0.538887, Time  0.268572
2021-09-10 01:56:59.764769 : Epoch  8, Batch   1397, Loss  0.905352, Average Loss  0.868157, Time  0.445791
2021-09-10 01:57:00.521774 : Epoch  8, Batch    160, Loss  0.539973, Average Loss  0.538911, Time  0.258387
2021-09-10 01:57:01.564791 : Epoch  8, Batch   1398, Loss  0.864388, Average Loss  0.868119, Time  0.355984
2021-09-10 01:57:02.444058 : Epoch  8, Batch    161, Loss  0.530093, Average Loss  0.538875, Time  0.258341
2021-09-10 01:57:03.357787 : Epoch  8, Batch   1399, Loss  0.878798, Average Loss  0.868051, Time  0.355923
2021-09-10 01:57:04.347867 : Epoch  8, Batch    162, Loss  0.530645, Average Loss  0.538897, Time  0.258250
2021-09-10 01:57:05.217991 : Epoch  8, Batch   1400, Loss  0.875983, Average Loss  0.868108, Time  0.389951
2021-09-10 01:57:07.132785 : Epoch  8, Batch   1401, Loss  0.868861, Average Loss  0.868029, Time  0.454825
2021-09-10 01:57:08.353061 : Epoch  8, Batch    163, Loss  0.522978, Average Loss  0.538810, Time  0.271305
2021-09-10 01:57:08.982903 : Epoch  8, Batch   1402, Loss  0.860143, Average Loss  0.867902, Time  0.417053
2021-09-10 01:57:10.286970 : Epoch  8, Batch    164, Loss  0.549164, Average Loss  0.538947, Time  0.259784
2021-09-10 01:57:10.786774 : Epoch  8, Batch   1403, Loss  0.827966, Average Loss  0.867693, Time  0.364115
2021-09-10 01:57:12.189903 : Epoch  8, Batch    165, Loss  0.548907, Average Loss  0.538985, Time  0.258172
2021-09-10 01:57:12.599780 : Epoch  8, Batch   1404, Loss  0.849289, Average Loss  0.867552, Time  0.365634
2021-09-10 01:57:14.101961 : Epoch  8, Batch    166, Loss  0.538401, Average Loss  0.538956, Time  0.258329
2021-09-10 01:57:14.458765 : Epoch  8, Batch   1405, Loss  0.865685, Average Loss  0.867558, Time  0.413638
2021-09-10 01:57:16.010835 : Epoch  8, Batch    167, Loss  0.537307, Average Loss  0.538998, Time  0.258391
2021-09-10 01:57:16.354253 : Epoch  8, Batch   1406, Loss  0.866315, Average Loss  0.867398, Time  0.456926
2021-09-10 01:57:17.901161 : Epoch  8, Batch    168, Loss  0.527241, Average Loss  0.538944, Time  0.258004
2021-09-10 01:57:18.139763 : Epoch  8, Batch   1407, Loss  0.873142, Average Loss  0.867267, Time  0.356820
2021-09-10 01:57:19.797841 : Epoch  8, Batch    169, Loss  0.539995, Average Loss  0.539014, Time  0.258009
2021-09-10 01:57:19.987307 : Epoch  8, Batch   1408, Loss  0.852510, Average Loss  0.867058, Time  0.428260
2021-09-10 01:57:21.752823 : Epoch  8, Batch    170, Loss  0.541812, Average Loss  0.539001, Time  0.258750
2021-09-10 01:57:21.801758 : Epoch  8, Batch   1409, Loss  0.873592, Average Loss  0.867065, Time  0.358493
2021-09-10 01:57:23.666858 : Epoch  8, Batch    171, Loss  0.552370, Average Loss  0.539069, Time  0.260095
2021-09-10 01:57:23.716101 : Epoch  8, Batch   1410, Loss  0.857749, Average Loss  0.867047, Time  0.452638
2021-09-10 01:57:25.567849 : Epoch  8, Batch    172, Loss  0.537199, Average Loss  0.539025, Time  0.259657
2021-09-10 01:57:25.604423 : Epoch  8, Batch   1411, Loss  0.870068, Average Loss  0.867098, Time  0.421080
2021-09-10 01:57:27.404777 : Epoch  8, Batch   1412, Loss  0.826246, Average Loss  0.866862, Time  0.362871
2021-09-10 01:57:27.490863 : Epoch  8, Batch    173, Loss  0.537346, Average Loss  0.539003, Time  0.263103
2021-09-10 01:57:29.209185 : Epoch  8, Batch   1413, Loss  0.888796, Average Loss  0.866927, Time  0.355936
2021-09-10 01:57:29.383058 : Epoch  8, Batch    174, Loss  0.533737, Average Loss  0.539027, Time  0.258015
2021-09-10 01:57:31.056191 : Epoch  8, Batch   1414, Loss  0.854908, Average Loss  0.866849, Time  0.411149
2021-09-10 01:57:31.296795 : Epoch  8, Batch    175, Loss  0.544127, Average Loss  0.539092, Time  0.257829
2021-09-10 01:57:32.981782 : Epoch  8, Batch   1415, Loss  0.866798, Average Loss  0.866902, Time  0.466305
2021-09-10 01:57:33.192795 : Epoch  8, Batch    176, Loss  0.539534, Average Loss  0.539148, Time  0.257717
2021-09-10 01:57:34.875802 : Epoch  8, Batch   1416, Loss  0.860371, Average Loss  0.866777, Time  0.433361
2021-09-10 01:57:35.094246 : Epoch  8, Batch    177, Loss  0.533853, Average Loss  0.539145, Time  0.258563
2021-09-10 01:57:36.679779 : Epoch  8, Batch   1417, Loss  0.844009, Average Loss  0.866776, Time  0.362648
2021-09-10 01:57:36.970770 : Epoch  8, Batch    178, Loss  0.544150, Average Loss  0.539138, Time  0.257629
2021-09-10 01:57:38.507100 : Epoch  8, Batch   1418, Loss  0.874610, Average Loss  0.866714, Time  0.358494
2021-09-10 01:57:38.863888 : Epoch  8, Batch    179, Loss  0.528918, Average Loss  0.539111, Time  0.257921
2021-09-10 01:57:40.349781 : Epoch  8, Batch   1419, Loss  0.866407, Average Loss  0.866701, Time  0.414685
2021-09-10 01:57:40.745823 : Epoch  8, Batch    180, Loss  0.537224, Average Loss  0.539014, Time  0.258662
2021-09-10 01:57:42.277758 : Epoch  8, Batch   1420, Loss  0.874982, Average Loss  0.866862, Time  0.466913
2021-09-10 01:57:42.652048 : Epoch  8, Batch    181, Loss  0.545293, Average Loss  0.539041, Time  0.257696
2021-09-10 01:57:44.133844 : Epoch  8, Batch   1421, Loss  0.860567, Average Loss  0.866973, Time  0.423630
2021-09-10 01:57:44.566899 : Epoch  8, Batch    182, Loss  0.533267, Average Loss  0.539051, Time  0.258623
2021-09-10 01:57:45.982100 : Epoch  8, Batch   1422, Loss  0.898113, Average Loss  0.867039, Time  0.376113
2021-09-10 01:57:46.479072 : Epoch  8, Batch    183, Loss  0.540209, Average Loss  0.539060, Time  0.257615
2021-09-10 01:57:47.841767 : Epoch  8, Batch   1423, Loss  0.849787, Average Loss  0.866816, Time  0.376226
2021-09-10 01:57:48.400156 : Epoch  8, Batch    184, Loss  0.535717, Average Loss  0.538981, Time  0.261699
2021-09-10 01:57:50.351046 : Epoch  8, Batch    185, Loss  0.537864, Average Loss  0.539011, Time  0.261739
2021-09-10 01:57:52.294146 : Epoch  8, Batch    186, Loss  0.519561, Average Loss  0.538922, Time  0.261321
2021-09-10 01:57:54.241780 : Epoch  8, Batch    187, Loss  0.539100, Average Loss  0.538860, Time  0.258205
2021-09-10 01:57:56.139805 : Epoch  8, Batch    188, Loss  0.525076, Average Loss  0.538783, Time  0.259542
2021-09-10 01:57:58.022779 : Epoch  8, Batch    189, Loss  0.526727, Average Loss  0.538811, Time  0.261575
2021-09-10 01:57:59.926087 : Epoch  8, Batch    190, Loss  0.530864, Average Loss  0.538730, Time  0.269545
2021-09-10 01:58:01.810944 : Epoch  8, Batch    191, Loss  0.537543, Average Loss  0.538729, Time  0.264889
2021-09-10 01:59:11.681736 : CheckPoint: Validation Loss  0.00022211, Best Loss  0.00021723
2021-09-10 01:59:13.594838 : Epoch  8, Batch    192, Loss  0.531340, Average Loss  0.538699, Time  0.266575
2021-09-10 01:59:15.510067 : Epoch  8, Batch    193, Loss  0.539475, Average Loss  0.538722, Time  0.258835
2021-09-10 01:59:17.422825 : Epoch  8, Batch    194, Loss  0.535409, Average Loss  0.538653, Time  0.259190
2021-09-10 01:59:19.320033 : Epoch  8, Batch    195, Loss  0.547414, Average Loss  0.538697, Time  0.258283
2021-09-10 01:59:21.201823 : Epoch  8, Batch    196, Loss  0.545121, Average Loss  0.538685, Time  0.262602
2021-09-10 01:59:23.097879 : Epoch  8, Batch    197, Loss  0.537492, Average Loss  0.538620, Time  0.262310
2021-09-10 01:59:25.001837 : Epoch  8, Batch    198, Loss  0.542831, Average Loss  0.538716, Time  0.258114
2021-09-10 01:59:26.901888 : Epoch  8, Batch    199, Loss  0.534561, Average Loss  0.538671, Time  0.262782
2021-09-10 01:59:28.825979 : Epoch  8, Batch    200, Loss  0.538397, Average Loss  0.538612, Time  0.259598
2021-09-10 01:59:30.758086 : Epoch  8, Batch    201, Loss  0.541295, Average Loss  0.538624, Time  0.267767
2021-09-10 01:59:32.647660 : Epoch  8, Batch    202, Loss  0.539149, Average Loss  0.538637, Time  0.266176
2021-09-10 01:59:34.569086 : Epoch  8, Batch    203, Loss  0.546439, Average Loss  0.538736, Time  0.263932
2021-09-10 01:59:36.447860 : Epoch  8, Batch    204, Loss  0.538839, Average Loss  0.538707, Time  0.265543
2021-09-10 01:59:38.363819 : Epoch  8, Batch    205, Loss  0.530717, Average Loss  0.538688, Time  0.266024
2021-09-10 01:59:40.289775 : Epoch  8, Batch    206, Loss  0.557458, Average Loss  0.538740, Time  0.258383
2021-09-10 01:59:42.220892 : Epoch  8, Batch    207, Loss  0.541803, Average Loss  0.538712, Time  0.260652
2021-09-10 01:59:44.130086 : Epoch  8, Batch    208, Loss  0.546359, Average Loss  0.538842, Time  0.263838
2021-09-10 01:59:46.046145 : Epoch  8, Batch    209, Loss  0.536995, Average Loss  0.538836, Time  0.260851
2021-09-10 01:59:47.955842 : Epoch  8, Batch    210, Loss  0.533637, Average Loss  0.538799, Time  0.264410
2021-09-10 01:59:49.852307 : Epoch  8, Batch    211, Loss  0.537631, Average Loss  0.538839, Time  0.258671
2021-09-10 01:59:51.752122 : Epoch  8, Batch    212, Loss  0.542213, Average Loss  0.538824, Time  0.264805
2021-09-10 01:59:53.645843 : Epoch  8, Batch    213, Loss  0.542239, Average Loss  0.538885, Time  0.258156
2021-09-10 01:59:55.573853 : Epoch  8, Batch    214, Loss  0.546694, Average Loss  0.538888, Time  0.260010
2021-09-10 01:59:57.503091 : Epoch  8, Batch    215, Loss  0.530551, Average Loss  0.538771, Time  0.268241
2021-09-10 01:59:59.428101 : Epoch  8, Batch    216, Loss  0.528715, Average Loss  0.538689, Time  0.258146
2021-09-10 02:00:01.347085 : Epoch  8, Batch    217, Loss  0.529314, Average Loss  0.538637, Time  0.261165
2021-09-10 02:00:03.252795 : Epoch  8, Batch    218, Loss  0.525349, Average Loss  0.538511, Time  0.261909
2021-09-10 02:00:05.160086 : Epoch  8, Batch    219, Loss  0.547275, Average Loss  0.538553, Time  0.260678
2021-09-10 02:00:07.046985 : Epoch  8, Batch    220, Loss  0.524040, Average Loss  0.538491, Time  0.261662
2021-09-10 02:00:08.956849 : Epoch  8, Batch    221, Loss  0.539650, Average Loss  0.538556, Time  0.261676
2021-09-10 02:00:10.854901 : Epoch  8, Batch    222, Loss  0.543527, Average Loss  0.538597, Time  0.262242
2021-09-10 02:00:12.788198 : Epoch  8, Batch    223, Loss  0.544529, Average Loss  0.538570, Time  0.266565
2021-09-10 02:00:14.682782 : Epoch  8, Batch    224, Loss  0.535458, Average Loss  0.538512, Time  0.258502
2021-09-10 02:00:16.599830 : Epoch  8, Batch    225, Loss  0.539106, Average Loss  0.538458, Time  0.257986
2021-09-10 02:00:18.509833 : Epoch  8, Batch    226, Loss  0.538898, Average Loss  0.538439, Time  0.258414
2021-09-10 02:00:20.439968 : Epoch  8, Batch    227, Loss  0.543053, Average Loss  0.538508, Time  0.257921
2021-09-10 02:00:22.361075 : Epoch  8, Batch    228, Loss  0.532276, Average Loss  0.538514, Time  0.257725
2021-09-10 02:00:24.293901 : Epoch  8, Batch    229, Loss  0.545505, Average Loss  0.538551, Time  0.258539
2021-09-10 02:00:26.223847 : Epoch  8, Batch    230, Loss  0.533686, Average Loss  0.538504, Time  0.258070
2021-09-10 02:00:28.136066 : Epoch  8, Batch    231, Loss  0.535125, Average Loss  0.538508, Time  0.258314
2021-09-10 02:00:30.059840 : Epoch  8, Batch    232, Loss  0.526912, Average Loss  0.538425, Time  0.257895
2021-09-10 02:00:31.967081 : Epoch  8, Batch    233, Loss  0.536400, Average Loss  0.538337, Time  0.258045
2021-09-10 02:00:33.880838 : Epoch  8, Batch    234, Loss  0.531939, Average Loss  0.538317, Time  0.258107
2021-09-10 02:00:35.797807 : Epoch  8, Batch    235, Loss  0.539586, Average Loss  0.538378, Time  0.258337
2021-09-10 02:00:37.675914 : Epoch  8, Batch    236, Loss  0.532789, Average Loss  0.538370, Time  0.259403
2021-09-10 02:00:39.590087 : Epoch  8, Batch    237, Loss  0.535793, Average Loss  0.538290, Time  0.259511
2021-09-10 02:00:41.531111 : Epoch  8, Batch    238, Loss  0.524124, Average Loss  0.538234, Time  0.263162
2021-09-10 02:00:43.443799 : Epoch  8, Batch    239, Loss  0.538117, Average Loss  0.538235, Time  0.258343
2021-09-10 02:00:45.375802 : Epoch  8, Batch    240, Loss  0.531567, Average Loss  0.538164, Time  0.258029
2021-09-10 02:00:47.296113 : Epoch  8, Batch    241, Loss  0.534999, Average Loss  0.538152, Time  0.258353
2021-09-10 02:00:49.214887 : Epoch  8, Batch    242, Loss  0.514963, Average Loss  0.538124, Time  0.257782
2021-09-10 02:00:51.140067 : Epoch  8, Batch    243, Loss  0.538288, Average Loss  0.538141, Time  0.258058
2021-09-10 02:00:53.074118 : Epoch  8, Batch    244, Loss  0.537909, Average Loss  0.538130, Time  0.257866
2021-09-10 02:00:54.990897 : Epoch  8, Batch    245, Loss  0.525846, Average Loss  0.538044, Time  0.260005
2021-09-10 02:00:56.917880 : Epoch  8, Batch    246, Loss  0.524206, Average Loss  0.537974, Time  0.258427
2021-09-10 02:00:58.837062 : Epoch  8, Batch    247, Loss  0.535251, Average Loss  0.537957, Time  0.258163
2021-09-10 02:01:00.770922 : Epoch  8, Batch    248, Loss  0.533633, Average Loss  0.537928, Time  0.257967
2021-09-10 02:01:02.688079 : Epoch  8, Batch    249, Loss  0.536887, Average Loss  0.537912, Time  0.258174
2021-09-10 02:01:04.603876 : Epoch  8, Batch    250, Loss  0.537707, Average Loss  0.537932, Time  0.258006
2021-09-10 02:01:06.512975 : Epoch  8, Batch    251, Loss  0.538058, Average Loss  0.537887, Time  0.261161
2021-09-10 02:01:08.425804 : Epoch  8, Batch    252, Loss  0.533561, Average Loss  0.537902, Time  0.258724
2021-09-10 02:01:10.353067 : Epoch  8, Batch    253, Loss  0.545456, Average Loss  0.537925, Time  0.258242
2021-09-10 02:01:12.261896 : Epoch  8, Batch    254, Loss  0.537967, Average Loss  0.537933, Time  0.257927
2021-09-10 02:01:14.229065 : Epoch  8, Batch    255, Loss  0.537770, Average Loss  0.537970, Time  0.258495
2021-09-10 02:01:16.148887 : Epoch  8, Batch    256, Loss  0.531017, Average Loss  0.537940, Time  0.257935
2021-09-10 02:01:18.077084 : Epoch  8, Batch    257, Loss  0.532050, Average Loss  0.537829, Time  0.258253
2021-09-10 02:01:19.999814 : Epoch  8, Batch    258, Loss  0.538490, Average Loss  0.537787, Time  0.258194
2021-09-10 02:01:21.914854 : Epoch  8, Batch    259, Loss  0.551106, Average Loss  0.537830, Time  0.258162
2021-09-10 02:01:23.828811 : Epoch  8, Batch    260, Loss  0.538469, Average Loss  0.537868, Time  0.260836
2021-09-10 02:01:25.738911 : Epoch  8, Batch    261, Loss  0.542085, Average Loss  0.537851, Time  0.258048
2021-09-10 02:01:29.760868 : Epoch  8, Batch    262, Loss  0.535592, Average Loss  0.537873, Time  0.271301
2021-09-10 02:01:31.674072 : Epoch  8, Batch    263, Loss  0.529621, Average Loss  0.537770, Time  0.268161
2021-09-10 02:01:33.581864 : Epoch  8, Batch    264, Loss  0.520005, Average Loss  0.537662, Time  0.263577
2021-09-10 02:01:35.502862 : Epoch  8, Batch    265, Loss  0.541919, Average Loss  0.537713, Time  0.271535
2021-09-10 02:01:37.404883 : Epoch  8, Batch    266, Loss  0.531404, Average Loss  0.537741, Time  0.257628
2021-09-10 02:01:39.311919 : Epoch  8, Batch    267, Loss  0.527186, Average Loss  0.537717, Time  0.258079
2021-09-10 02:01:41.218096 : Epoch  8, Batch    268, Loss  0.522548, Average Loss  0.537537, Time  0.264440
2021-09-10 02:01:43.117082 : Epoch  8, Batch    269, Loss  0.531476, Average Loss  0.537414, Time  0.258922
2021-09-10 02:01:45.007092 : Epoch  8, Batch    270, Loss  0.547822, Average Loss  0.537462, Time  0.258482
2021-09-10 02:01:46.901881 : Epoch  8, Batch    271, Loss  0.539524, Average Loss  0.537419, Time  0.262327
2021-09-10 02:01:48.786077 : Epoch  8, Batch    272, Loss  0.537043, Average Loss  0.537443, Time  0.258026
2021-09-10 02:01:50.691815 : Epoch  8, Batch    273, Loss  0.539670, Average Loss  0.537452, Time  0.258331
2021-09-10 02:01:52.594873 : Epoch  8, Batch    274, Loss  0.544478, Average Loss  0.537419, Time  0.257827
2021-09-10 02:01:54.502108 : Epoch  8, Batch    275, Loss  0.539597, Average Loss  0.537452, Time  0.258429
2021-09-10 02:01:56.415809 : Epoch  8, Batch    276, Loss  0.540134, Average Loss  0.537484, Time  0.258037
2021-09-10 02:01:58.333844 : Epoch  8, Batch    277, Loss  0.529846, Average Loss  0.537483, Time  0.257771
2021-09-10 02:02:00.244847 : Epoch  8, Batch    278, Loss  0.547105, Average Loss  0.537494, Time  0.258391
2021-09-10 02:02:02.158060 : Epoch  8, Batch    279, Loss  0.530975, Average Loss  0.537451, Time  0.258035
2021-09-10 02:02:04.073847 : Epoch  8, Batch    280, Loss  0.540189, Average Loss  0.537456, Time  0.257969
2021-09-10 02:02:05.981821 : Epoch  8, Batch    281, Loss  0.529676, Average Loss  0.537383, Time  0.258758
2021-09-10 02:02:07.889865 : Epoch  8, Batch    282, Loss  0.525849, Average Loss  0.537384, Time  0.257807
2021-09-10 02:02:09.804084 : Epoch  8, Batch    283, Loss  0.535854, Average Loss  0.537413, Time  0.258504
2021-09-10 02:02:11.716786 : Epoch  8, Batch    284, Loss  0.548998, Average Loss  0.537533, Time  0.257676
2021-09-10 02:02:13.621102 : Epoch  8, Batch    285, Loss  0.542793, Average Loss  0.537582, Time  0.258055
2021-09-10 02:02:15.511905 : Epoch  8, Batch    286, Loss  0.544098, Average Loss  0.537650, Time  0.257887
2021-09-10 02:02:17.398197 : Epoch  8, Batch    287, Loss  0.529703, Average Loss  0.537613, Time  0.260960
2021-09-10 02:02:19.283772 : Epoch  8, Batch    288, Loss  0.529169, Average Loss  0.537567, Time  0.263091
2021-09-10 02:02:21.178086 : Epoch  8, Batch    289, Loss  0.527752, Average Loss  0.537528, Time  0.263513
2021-09-10 02:02:23.064758 : Epoch  8, Batch    290, Loss  0.560257, Average Loss  0.537594, Time  0.258514
2021-09-10 02:02:24.956095 : Epoch  8, Batch    291, Loss  0.529692, Average Loss  0.537568, Time  0.261677
2021-09-10 02:02:38.889723 : CheckPoint: Validation Loss  0.00060442, Best Loss  0.00056427
2021-09-10 02:02:40.718783 : Epoch  8, Batch   1424, Loss  0.836670, Average Loss  0.866675, Time  0.362167
2021-09-10 02:02:42.571777 : Epoch  8, Batch   1425, Loss  0.892974, Average Loss  0.866668, Time  0.400335
2021-09-10 02:02:44.472782 : Epoch  8, Batch   1426, Loss  0.896080, Average Loss  0.866776, Time  0.451222
2021-09-10 02:02:46.236767 : Epoch  8, Batch   1427, Loss  0.867922, Average Loss  0.866658, Time  0.335977
2021-09-10 02:02:48.028430 : Epoch  8, Batch   1428, Loss  0.886692, Average Loss  0.866839, Time  0.357013
2021-09-10 02:02:49.808770 : Epoch  8, Batch   1429, Loss  0.905726, Average Loss  0.867204, Time  0.357048
2021-09-10 02:02:51.708245 : Epoch  8, Batch   1430, Loss  0.873777, Average Loss  0.867236, Time  0.474601
2021-09-10 02:02:53.487808 : Epoch  8, Batch   1431, Loss  0.825501, Average Loss  0.867229, Time  0.359441
2021-09-10 02:02:55.278194 : Epoch  8, Batch   1432, Loss  0.867896, Average Loss  0.867113, Time  0.358152
2021-09-10 02:02:57.055108 : Epoch  8, Batch   1433, Loss  0.855919, Average Loss  0.867018, Time  0.370875
2021-09-10 02:02:58.926780 : Epoch  8, Batch   1434, Loss  0.873401, Average Loss  0.867130, Time  0.465854
2021-09-10 02:03:00.695793 : Epoch  8, Batch   1435, Loss  0.861552, Average Loss  0.867203, Time  0.367042
2021-09-10 02:03:02.497894 : Epoch  8, Batch   1436, Loss  0.849394, Average Loss  0.867083, Time  0.364364
2021-09-10 02:03:04.313778 : Epoch  8, Batch   1437, Loss  0.861751, Average Loss  0.866922, Time  0.398294
2021-09-10 02:03:06.200991 : Epoch  8, Batch   1438, Loss  0.842357, Average Loss  0.866715, Time  0.468805
2021-09-10 02:03:07.998775 : Epoch  8, Batch   1439, Loss  0.858001, Average Loss  0.866693, Time  0.361103
2021-09-10 02:03:09.782784 : Epoch  8, Batch   1440, Loss  0.868546, Average Loss  0.866719, Time  0.367305
2021-09-10 02:03:11.588788 : Epoch  8, Batch   1441, Loss  0.867890, Average Loss  0.866661, Time  0.362595
2021-09-10 02:03:13.484010 : Epoch  8, Batch   1442, Loss  0.846924, Average Loss  0.866641, Time  0.458745
2021-09-10 02:03:15.364789 : Epoch  8, Batch   1443, Loss  0.866099, Average Loss  0.866628, Time  0.445185
2021-09-10 02:03:17.212787 : Epoch  8, Batch   1444, Loss  0.840705, Average Loss  0.866439, Time  0.378178
2021-09-10 02:03:18.997126 : Epoch  8, Batch   1445, Loss  0.894896, Average Loss  0.866539, Time  0.355603
2021-09-10 02:03:20.824120 : Epoch  8, Batch   1446, Loss  0.883328, Average Loss  0.866621, Time  0.397651
2021-09-10 02:03:22.723974 : Epoch  8, Batch   1447, Loss  0.886129, Average Loss  0.866796, Time  0.455466
2021-09-10 02:03:24.609841 : Epoch  8, Batch   1448, Loss  0.885280, Average Loss  0.866815, Time  0.413639
2021-09-10 02:03:26.411083 : Epoch  8, Batch   1449, Loss  0.857833, Average Loss  0.866759, Time  0.361587
2021-09-10 02:03:28.211246 : Epoch  8, Batch   1450, Loss  0.853883, Average Loss  0.866714, Time  0.363529
2021-09-10 02:03:30.058776 : Epoch  8, Batch   1451, Loss  0.871846, Average Loss  0.866873, Time  0.430712
2021-09-10 02:03:31.980833 : Epoch  8, Batch   1452, Loss  0.874164, Average Loss  0.866764, Time  0.455177
2021-09-10 02:03:33.733121 : Epoch  8, Batch   1453, Loss  0.851972, Average Loss  0.866666, Time  0.336663
2021-09-10 02:03:35.062739 : CheckPoint: Validation Loss  0.00022318, Best Loss  0.00021723
2021-09-10 02:03:35.522788 : Epoch  8, Batch   1454, Loss  0.861480, Average Loss  0.866595, Time  0.358935
2021-09-10 02:03:36.990953 : Epoch  8, Batch    292, Loss  0.541540, Average Loss  0.537566, Time  0.273057
2021-09-10 02:03:37.311110 : Epoch  8, Batch   1455, Loss  0.810455, Average Loss  0.866243, Time  0.361218
2021-09-10 02:03:38.878106 : Epoch  8, Batch    293, Loss  0.554896, Average Loss  0.537656, Time  0.258336
2021-09-10 02:03:39.215773 : Epoch  8, Batch   1456, Loss  0.872206, Average Loss  0.866298, Time  0.478543
2021-09-10 02:03:40.773823 : Epoch  8, Batch    294, Loss  0.542924, Average Loss  0.537637, Time  0.258324
2021-09-10 02:03:41.012799 : Epoch  8, Batch   1457, Loss  0.849868, Average Loss  0.866197, Time  0.373389
2021-09-10 02:03:42.674868 : Epoch  8, Batch    295, Loss  0.533340, Average Loss  0.537515, Time  0.259861
2021-09-10 02:03:42.800770 : Epoch  8, Batch   1458, Loss  0.884683, Average Loss  0.866451, Time  0.356274
2021-09-10 02:03:44.582770 : Epoch  8, Batch   1459, Loss  0.870208, Average Loss  0.866326, Time  0.368608
2021-09-10 02:03:44.623074 : Epoch  8, Batch    296, Loss  0.541968, Average Loss  0.537574, Time  0.276159
2021-09-10 02:03:46.503772 : Epoch  8, Batch   1460, Loss  0.835721, Average Loss  0.866098, Time  0.463744
2021-09-10 02:03:46.503818 : Epoch  8, Batch    297, Loss  0.535005, Average Loss  0.537551, Time  0.259308
2021-09-10 02:03:48.377783 : Epoch  8, Batch   1461, Loss  0.863119, Average Loss  0.866186, Time  0.450589
2021-09-10 02:03:48.456022 : Epoch  8, Batch    298, Loss  0.536510, Average Loss  0.537506, Time  0.258716
2021-09-10 02:03:50.188784 : Epoch  8, Batch   1462, Loss  0.867624, Average Loss  0.866297, Time  0.357476
2021-09-10 02:03:50.337971 : Epoch  8, Batch    299, Loss  0.542173, Average Loss  0.537535, Time  0.266531
2021-09-10 02:03:51.981007 : Epoch  8, Batch   1463, Loss  0.875498, Average Loss  0.866310, Time  0.355834
2021-09-10 02:03:52.231846 : Epoch  8, Batch    300, Loss  0.539390, Average Loss  0.537501, Time  0.264842
2021-09-10 02:03:53.811796 : Epoch  8, Batch   1464, Loss  0.888563, Average Loss  0.866409, Time  0.388035
2021-09-10 02:03:54.093708 : Epoch  8, Batch    301, Loss  0.544827, Average Loss  0.537515, Time  0.261444
2021-09-10 02:03:55.726886 : Epoch  8, Batch   1465, Loss  0.878772, Average Loss  0.866462, Time  0.453479
2021-09-10 02:03:55.966819 : Epoch  8, Batch    302, Loss  0.543901, Average Loss  0.537589, Time  0.258029
2021-09-10 02:03:57.472789 : Epoch  8, Batch   1466, Loss  0.872044, Average Loss  0.866432, Time  0.337475
2021-09-10 02:03:57.897791 : Epoch  8, Batch    303, Loss  0.544918, Average Loss  0.537641, Time  0.259830
2021-09-10 02:03:59.234962 : Epoch  8, Batch   1467, Loss  0.844021, Average Loss  0.866388, Time  0.357216
2021-09-10 02:03:59.788876 : Epoch  8, Batch    304, Loss  0.531500, Average Loss  0.537552, Time  0.261609
2021-09-10 02:04:01.035772 : Epoch  8, Batch   1468, Loss  0.869092, Average Loss  0.866382, Time  0.365477
2021-09-10 02:04:01.704530 : Epoch  8, Batch    305, Loss  0.541098, Average Loss  0.537588, Time  0.264393
2021-09-10 02:04:02.921925 : Epoch  8, Batch   1469, Loss  0.834914, Average Loss  0.866227, Time  0.454830
2021-09-10 02:04:03.637904 : Epoch  8, Batch    306, Loss  0.533192, Average Loss  0.537467, Time  0.265819
2021-09-10 02:04:04.725065 : Epoch  8, Batch   1470, Loss  0.861984, Average Loss  0.866087, Time  0.355139
2021-09-10 02:04:05.559906 : Epoch  8, Batch    307, Loss  0.536490, Average Loss  0.537438, Time  0.259555
2021-09-10 02:04:06.555900 : Epoch  8, Batch   1471, Loss  0.848786, Average Loss  0.865963, Time  0.370394
2021-09-10 02:04:07.455959 : Epoch  8, Batch    308, Loss  0.534086, Average Loss  0.537409, Time  0.259141
2021-09-10 02:04:08.325792 : Epoch  8, Batch   1472, Loss  0.880009, Average Loss  0.866161, Time  0.365626
2021-09-10 02:04:09.342103 : Epoch  8, Batch    309, Loss  0.519119, Average Loss  0.537312, Time  0.266034
2021-09-10 02:04:10.194293 : Epoch  8, Batch   1473, Loss  0.859829, Average Loss  0.866209, Time  0.451117
2021-09-10 02:04:11.247763 : Epoch  8, Batch    310, Loss  0.522088, Average Loss  0.537815, Time  0.264710
2021-09-10 02:04:11.976778 : Epoch  8, Batch   1474, Loss  0.870897, Average Loss  0.866079, Time  0.346887
2021-09-10 02:04:13.165948 : Epoch  8, Batch    311, Loss  0.550142, Average Loss  0.537865, Time  0.262954
2021-09-10 02:04:13.779815 : Epoch  8, Batch   1475, Loss  0.870850, Average Loss  0.866288, Time  0.358422
2021-09-10 02:04:15.114256 : Epoch  8, Batch    312, Loss  0.543610, Average Loss  0.537849, Time  0.286848
2021-09-10 02:04:15.604450 : Epoch  8, Batch   1476, Loss  0.877138, Average Loss  0.866179, Time  0.369339
2021-09-10 02:04:17.022903 : Epoch  8, Batch    313, Loss  0.539623, Average Loss  0.537820, Time  0.257863
2021-09-10 02:04:17.537780 : Epoch  8, Batch   1477, Loss  0.875020, Average Loss  0.866316, Time  0.445022
2021-09-10 02:04:18.935781 : Epoch  8, Batch    314, Loss  0.549708, Average Loss  0.537698, Time  0.259627
2021-09-10 02:04:19.329131 : Epoch  8, Batch   1478, Loss  0.875646, Average Loss  0.866442, Time  0.359245
2021-09-10 02:04:20.842899 : Epoch  8, Batch    315, Loss  0.542381, Average Loss  0.537607, Time  0.258570
2021-09-10 02:04:21.081176 : Epoch  8, Batch   1479, Loss  0.841122, Average Loss  0.866454, Time  0.357337
2021-09-10 02:04:22.721776 : Epoch  8, Batch    316, Loss  0.541176, Average Loss  0.537576, Time  0.262630
2021-09-10 02:04:22.909885 : Epoch  8, Batch   1480, Loss  0.861789, Average Loss  0.866455, Time  0.415634
2021-09-10 02:04:24.620813 : Epoch  8, Batch    317, Loss  0.531051, Average Loss  0.537498, Time  0.264035
2021-09-10 02:04:24.795776 : Epoch  8, Batch   1481, Loss  0.864487, Average Loss  0.866418, Time  0.455640
2021-09-10 02:04:26.524892 : Epoch  8, Batch    318, Loss  0.532317, Average Loss  0.537433, Time  0.259855
2021-09-10 02:04:26.582249 : Epoch  8, Batch   1482, Loss  0.863034, Average Loss  0.866464, Time  0.356631
2021-09-10 02:04:28.339782 : Epoch  8, Batch   1483, Loss  0.860993, Average Loss  0.866446, Time  0.356515
2021-09-10 02:04:28.436854 : Epoch  8, Batch    319, Loss  0.544775, Average Loss  0.537413, Time  0.283047
2021-09-10 02:04:30.163202 : Epoch  8, Batch   1484, Loss  0.864323, Average Loss  0.866461, Time  0.365487
2021-09-10 02:04:30.341057 : Epoch  8, Batch    320, Loss  0.538542, Average Loss  0.537312, Time  0.257807
2021-09-10 02:04:32.056189 : Epoch  8, Batch   1485, Loss  0.867791, Average Loss  0.866666, Time  0.451849
2021-09-10 02:04:32.295896 : Epoch  8, Batch    321, Loss  0.539793, Average Loss  0.537335, Time  0.321393
2021-09-10 02:04:33.967410 : Epoch  8, Batch   1486, Loss  0.867364, Average Loss  0.866704, Time  0.423212
2021-09-10 02:04:34.196795 : Epoch  8, Batch    322, Loss  0.537567, Average Loss  0.537329, Time  0.264424
2021-09-10 02:04:35.764114 : Epoch  8, Batch   1487, Loss  0.860893, Average Loss  0.866681, Time  0.358036
2021-09-10 02:04:36.091797 : Epoch  8, Batch    323, Loss  0.533505, Average Loss  0.537268, Time  0.262452
2021-09-10 02:04:37.666113 : Epoch  8, Batch   1488, Loss  0.862633, Average Loss  0.866669, Time  0.366929
2021-09-10 02:04:38.001917 : Epoch  8, Batch    324, Loss  0.549385, Average Loss  0.537256, Time  0.258280
2021-09-10 02:04:39.532961 : Epoch  8, Batch   1489, Loss  0.887472, Average Loss  0.866860, Time  0.387363
2021-09-10 02:04:39.891967 : Epoch  8, Batch    325, Loss  0.535130, Average Loss  0.537226, Time  0.260942
2021-09-10 02:04:41.428249 : Epoch  8, Batch   1490, Loss  0.892013, Average Loss  0.866889, Time  0.459461
2021-09-10 02:04:41.750832 : Epoch  8, Batch    326, Loss  0.540151, Average Loss  0.537236, Time  0.258168
2021-09-10 02:04:43.225242 : Epoch  8, Batch   1491, Loss  0.860162, Average Loss  0.866786, Time  0.357386
2021-09-10 02:04:43.638825 : Epoch  8, Batch    327, Loss  0.536362, Average Loss  0.537205, Time  0.258746
2021-09-10 02:04:45.020105 : Epoch  8, Batch   1492, Loss  0.900655, Average Loss  0.866989, Time  0.360409
2021-09-10 02:04:45.533223 : Epoch  8, Batch    328, Loss  0.548732, Average Loss  0.537226, Time  0.265305
2021-09-10 02:04:46.832892 : Epoch  8, Batch   1493, Loss  0.881035, Average Loss  0.867128, Time  0.356955
2021-09-10 02:04:47.415943 : Epoch  8, Batch    329, Loss  0.536786, Average Loss  0.537113, Time  0.258161
2021-09-10 02:04:48.717963 : Epoch  8, Batch   1494, Loss  0.866386, Average Loss  0.866969, Time  0.460039
2021-09-10 02:04:49.324815 : Epoch  8, Batch    330, Loss  0.541132, Average Loss  0.537083, Time  0.257805
2021-09-10 02:04:50.578804 : Epoch  8, Batch   1495, Loss  0.841826, Average Loss  0.866839, Time  0.425529
2021-09-10 02:04:51.227063 : Epoch  8, Batch    331, Loss  0.535434, Average Loss  0.537015, Time  0.257920
2021-09-10 02:04:52.383860 : Epoch  8, Batch   1496, Loss  0.864723, Average Loss  0.866856, Time  0.357286
2021-09-10 02:04:53.137768 : Epoch  8, Batch    332, Loss  0.535911, Average Loss  0.536979, Time  0.257809
2021-09-10 02:04:54.175767 : Epoch  8, Batch   1497, Loss  0.857414, Average Loss  0.866737, Time  0.358024
2021-09-10 02:04:55.061063 : Epoch  8, Batch    333, Loss  0.536714, Average Loss  0.536973, Time  0.257794
2021-09-10 02:04:56.034837 : Epoch  8, Batch   1498, Loss  0.880168, Average Loss  0.866868, Time  0.415220
2021-09-10 02:04:56.974816 : Epoch  8, Batch    334, Loss  0.548696, Average Loss  0.537084, Time  0.258020
2021-09-10 02:04:57.952785 : Epoch  8, Batch   1499, Loss  0.847138, Average Loss  0.866830, Time  0.452981
2021-09-10 02:04:58.889066 : Epoch  8, Batch    335, Loss  0.533843, Average Loss  0.537016, Time  0.257705
2021-09-10 02:04:59.818869 : Epoch  8, Batch   1500, Loss  0.856354, Average Loss  0.866833, Time  0.406818
2021-09-10 02:05:00.777089 : Epoch  8, Batch    336, Loss  0.539838, Average Loss  0.537090, Time  0.257997
2021-09-10 02:05:01.611217 : Epoch  8, Batch   1501, Loss  0.842234, Average Loss  0.866738, Time  0.358639
2021-09-10 02:05:02.682793 : Epoch  8, Batch    337, Loss  0.545371, Average Loss  0.537075, Time  0.258335
2021-09-10 02:05:03.446924 : Epoch  8, Batch   1502, Loss  0.884300, Average Loss  0.866683, Time  0.356945
2021-09-10 02:05:04.598902 : Epoch  8, Batch    338, Loss  0.534801, Average Loss  0.537130, Time  0.258151
2021-09-10 02:05:05.308774 : Epoch  8, Batch   1503, Loss  0.852042, Average Loss  0.866612, Time  0.415367
2021-09-10 02:05:06.498061 : Epoch  8, Batch    339, Loss  0.555367, Average Loss  0.537208, Time  0.257860
2021-09-10 02:05:07.175851 : Epoch  8, Batch   1504, Loss  0.916440, Average Loss  0.866786, Time  0.463645
2021-09-10 02:05:08.408851 : Epoch  8, Batch    340, Loss  0.531335, Average Loss  0.537264, Time  0.258269
2021-09-10 02:05:08.945141 : Epoch  8, Batch   1505, Loss  0.879680, Average Loss  0.866837, Time  0.364898
2021-09-10 02:05:10.301789 : Epoch  8, Batch    341, Loss  0.530651, Average Loss  0.537316, Time  0.258381
2021-09-10 02:05:10.735786 : Epoch  8, Batch   1506, Loss  0.907484, Average Loss  0.866925, Time  0.361633
2021-09-10 02:05:12.223784 : Epoch  8, Batch    342, Loss  0.546328, Average Loss  0.537355, Time  0.258185
2021-09-10 02:05:12.549815 : Epoch  8, Batch   1507, Loss  0.876830, Average Loss  0.867088, Time  0.392469
2021-09-10 02:05:14.119091 : Epoch  8, Batch    343, Loss  0.535584, Average Loss  0.537294, Time  0.257965
2021-09-10 02:05:14.403761 : Epoch  8, Batch   1508, Loss  0.892229, Average Loss  0.867212, Time  0.449613
2021-09-10 02:05:16.004811 : Epoch  8, Batch    344, Loss  0.562589, Average Loss  0.537439, Time  0.258740
2021-09-10 02:05:16.173173 : Epoch  8, Batch   1509, Loss  0.900021, Average Loss  0.867290, Time  0.370569
2021-09-10 02:05:17.960392 : Epoch  8, Batch    345, Loss  0.531101, Average Loss  0.537437, Time  0.274216
2021-09-10 02:05:17.999069 : Epoch  8, Batch   1510, Loss  0.853304, Average Loss  0.867174, Time  0.360590
2021-09-10 02:05:19.811873 : Epoch  8, Batch   1511, Loss  0.864404, Average Loss  0.867070, Time  0.388783
2021-09-10 02:05:19.864891 : Epoch  8, Batch    346, Loss  0.540521, Average Loss  0.537454, Time  0.265535
2021-09-10 02:05:21.698804 : Epoch  8, Batch   1512, Loss  0.844168, Average Loss  0.866883, Time  0.461051
2021-09-10 02:05:21.742346 : Epoch  8, Batch    347, Loss  0.553409, Average Loss  0.537521, Time  0.266238
2021-09-10 02:05:23.458960 : Epoch  8, Batch   1513, Loss  0.834586, Average Loss  0.866769, Time  0.358507
2021-09-10 02:05:23.603952 : Epoch  8, Batch    348, Loss  0.530737, Average Loss  0.537449, Time  0.258047
2021-09-10 02:05:25.280782 : Epoch  8, Batch   1514, Loss  0.916783, Average Loss  0.866880, Time  0.368310
2021-09-10 02:05:25.467779 : Epoch  8, Batch    349, Loss  0.542761, Average Loss  0.537475, Time  0.259029
2021-09-10 02:05:27.060152 : Epoch  8, Batch   1515, Loss  0.866906, Average Loss  0.866839, Time  0.371576
2021-09-10 02:05:27.349807 : Epoch  8, Batch    350, Loss  0.549671, Average Loss  0.537534, Time  0.261115
2021-09-10 02:05:28.962802 : Epoch  8, Batch   1516, Loss  0.887794, Average Loss  0.866891, Time  0.458259
2021-09-10 02:05:29.223121 : Epoch  8, Batch    351, Loss  0.532764, Average Loss  0.537530, Time  0.263233
2021-09-10 02:05:30.839786 : Epoch  8, Batch   1517, Loss  0.880974, Average Loss  0.866948, Time  0.414703
2021-09-10 02:05:31.130773 : Epoch  8, Batch    352, Loss  0.559535, Average Loss  0.537664, Time  0.258133
2021-09-10 02:05:32.623789 : Epoch  8, Batch   1518, Loss  0.848774, Average Loss  0.866893, Time  0.356420
2021-09-10 02:05:33.010882 : Epoch  8, Batch    353, Loss  0.538010, Average Loss  0.537667, Time  0.258090
2021-09-10 02:05:34.435778 : Epoch  8, Batch   1519, Loss  0.881298, Average Loss  0.866847, Time  0.364924
2021-09-10 02:05:34.891821 : Epoch  8, Batch    354, Loss  0.540639, Average Loss  0.537739, Time  0.258072
2021-09-10 02:05:36.290778 : Epoch  8, Batch   1520, Loss  0.881165, Average Loss  0.866861, Time  0.424754
2021-09-10 02:05:36.761080 : Epoch  8, Batch    355, Loss  0.537502, Average Loss  0.537715, Time  0.258166
2021-09-10 02:05:38.159239 : Epoch  8, Batch   1521, Loss  0.854867, Average Loss  0.866882, Time  0.453050
2021-09-10 02:05:38.646832 : Epoch  8, Batch    356, Loss  0.542272, Average Loss  0.537739, Time  0.262335
2021-09-10 02:05:39.946837 : Epoch  8, Batch   1522, Loss  0.858131, Average Loss  0.866974, Time  0.361399
2021-09-10 02:05:40.504941 : Epoch  8, Batch    357, Loss  0.535032, Average Loss  0.537747, Time  0.257928
2021-09-10 02:05:41.722781 : Epoch  8, Batch   1523, Loss  0.846974, Average Loss  0.866837, Time  0.357441
2021-09-10 02:05:42.415558 : Epoch  8, Batch    358, Loss  0.535400, Average Loss  0.537743, Time  0.262081
2021-09-10 02:05:44.302181 : Epoch  8, Batch    359, Loss  0.532436, Average Loss  0.537719, Time  0.261627
2021-09-10 02:05:46.266396 : Epoch  8, Batch    360, Loss  0.544382, Average Loss  0.537741, Time  0.272899
2021-09-10 02:05:48.152093 : Epoch  8, Batch    361, Loss  0.544964, Average Loss  0.537815, Time  0.258111
2021-09-10 02:05:52.149946 : Epoch  8, Batch    362, Loss  0.539752, Average Loss  0.537861, Time  0.271212
2021-09-10 02:05:54.071833 : Epoch  8, Batch    363, Loss  0.530990, Average Loss  0.537901, Time  0.271979
2021-09-10 02:05:55.993016 : Epoch  8, Batch    364, Loss  0.551249, Average Loss  0.537911, Time  0.261556
2021-09-10 02:05:57.903867 : Epoch  8, Batch    365, Loss  0.530592, Average Loss  0.537820, Time  0.262791
2021-09-10 02:05:59.801777 : Epoch  8, Batch    366, Loss  0.523328, Average Loss  0.537744, Time  0.259809
2021-09-10 02:06:01.717089 : Epoch  8, Batch    367, Loss  0.535812, Average Loss  0.537737, Time  0.261428
2021-09-10 02:06:03.656908 : Epoch  8, Batch    368, Loss  0.540535, Average Loss  0.537803, Time  0.279237
2021-09-10 02:06:05.560802 : Epoch  8, Batch    369, Loss  0.542021, Average Loss  0.537813, Time  0.263614
2021-09-10 02:06:07.435773 : Epoch  8, Batch    370, Loss  0.540947, Average Loss  0.537809, Time  0.262253
2021-09-10 02:06:09.299869 : Epoch  8, Batch    371, Loss  0.538920, Average Loss  0.537742, Time  0.265993
2021-09-10 02:06:11.188096 : Epoch  8, Batch    372, Loss  0.542880, Average Loss  0.537770, Time  0.259126
2021-09-10 02:06:13.080817 : Epoch  8, Batch    373, Loss  0.529143, Average Loss  0.537729, Time  0.262115
2021-09-10 02:06:14.959789 : Epoch  8, Batch    374, Loss  0.540017, Average Loss  0.537761, Time  0.266927
2021-09-10 02:06:16.847966 : Epoch  8, Batch    375, Loss  0.534798, Average Loss  0.537714, Time  0.265770
2021-09-10 02:06:18.775098 : Epoch  8, Batch    376, Loss  0.520116, Average Loss  0.537617, Time  0.266906
2021-09-10 02:06:20.654774 : Epoch  8, Batch    377, Loss  0.541355, Average Loss  0.537654, Time  0.258262
2021-09-10 02:06:22.543894 : Epoch  8, Batch    378, Loss  0.534493, Average Loss  0.537606, Time  0.266359
2021-09-10 02:06:24.460824 : Epoch  8, Batch    379, Loss  0.546254, Average Loss  0.537693, Time  0.284499
2021-09-10 02:06:26.370831 : Epoch  8, Batch    380, Loss  0.553243, Average Loss  0.537773, Time  0.264428
2021-09-10 02:06:28.268786 : Epoch  8, Batch    381, Loss  0.548008, Average Loss  0.537786, Time  0.274853
2021-09-10 02:06:30.185827 : Epoch  8, Batch    382, Loss  0.517224, Average Loss  0.537706, Time  0.262800
2021-09-10 02:06:32.097136 : Epoch  8, Batch    383, Loss  0.533578, Average Loss  0.537673, Time  0.266434
2021-09-10 02:06:34.003825 : Epoch  8, Batch    384, Loss  0.545258, Average Loss  0.537721, Time  0.265578
2021-09-10 02:06:35.911848 : Epoch  8, Batch    385, Loss  0.530753, Average Loss  0.537685, Time  0.258214
2021-09-10 02:06:37.811779 : Epoch  8, Batch    386, Loss  0.539687, Average Loss  0.537786, Time  0.265405
2021-09-10 02:06:39.724859 : Epoch  8, Batch    387, Loss  0.542399, Average Loss  0.537802, Time  0.267419
2021-09-10 02:06:41.623783 : Epoch  8, Batch    388, Loss  0.526724, Average Loss  0.537811, Time  0.262467
2021-09-10 02:06:43.509906 : Epoch  8, Batch    389, Loss  0.531817, Average Loss  0.537836, Time  0.262953
2021-09-10 02:06:45.370867 : Epoch  8, Batch    390, Loss  0.531702, Average Loss  0.537840, Time  0.258474
2021-09-10 02:06:47.257955 : Epoch  8, Batch    391, Loss  0.551700, Average Loss  0.537911, Time  0.263529
2021-09-10 02:07:57.545759 : CheckPoint: Validation Loss  0.00021999, Best Loss  0.00021723
2021-09-10 02:07:59.453963 : Epoch  8, Batch    392, Loss  0.542929, Average Loss  0.537969, Time  0.267897
2021-09-10 02:08:01.338780 : Epoch  8, Batch    393, Loss  0.542901, Average Loss  0.537986, Time  0.258241
2021-09-10 02:08:03.247250 : Epoch  8, Batch    394, Loss  0.546069, Average Loss  0.538039, Time  0.258115
2021-09-10 02:08:05.139940 : Epoch  8, Batch    395, Loss  0.526600, Average Loss  0.537935, Time  0.262402
2021-09-10 02:08:07.053777 : Epoch  8, Batch    396, Loss  0.541331, Average Loss  0.537916, Time  0.269280
2021-09-10 02:08:08.973888 : Epoch  8, Batch    397, Loss  0.534490, Average Loss  0.537901, Time  0.258386
2021-09-10 02:08:10.863024 : Epoch  8, Batch    398, Loss  0.538665, Average Loss  0.537881, Time  0.262291
2021-09-10 02:08:12.752779 : Epoch  8, Batch    399, Loss  0.540936, Average Loss  0.537912, Time  0.262023
2021-09-10 02:08:14.623967 : Epoch  8, Batch    400, Loss  0.528573, Average Loss  0.537863, Time  0.265027
2021-09-10 02:08:16.504076 : Epoch  8, Batch    401, Loss  0.542643, Average Loss  0.537870, Time  0.266001
2021-09-10 02:08:18.407824 : Epoch  8, Batch    402, Loss  0.545591, Average Loss  0.537902, Time  0.258054
2021-09-10 02:08:20.301894 : Epoch  8, Batch    403, Loss  0.524324, Average Loss  0.537792, Time  0.265322
2021-09-10 02:08:22.196130 : Epoch  8, Batch    404, Loss  0.546236, Average Loss  0.537829, Time  0.258138
2021-09-10 02:08:24.061825 : Epoch  8, Batch    405, Loss  0.547757, Average Loss  0.537914, Time  0.258789
2021-09-10 02:08:25.985758 : Epoch  8, Batch    406, Loss  0.543793, Average Loss  0.537846, Time  0.264844
2021-09-10 02:08:27.878852 : Epoch  8, Batch    407, Loss  0.536109, Average Loss  0.537817, Time  0.261828
2021-09-10 02:08:29.786125 : Epoch  8, Batch    408, Loss  0.542645, Average Loss  0.537798, Time  0.259917
2021-09-10 02:08:31.664877 : Epoch  8, Batch    409, Loss  0.551095, Average Loss  0.537869, Time  0.259037
2021-09-10 02:08:33.537832 : Epoch  8, Batch    410, Loss  0.526233, Average Loss  0.537832, Time  0.264285
2021-09-10 02:08:35.413873 : Epoch  8, Batch    411, Loss  0.525846, Average Loss  0.537773, Time  0.258423
2021-09-10 02:08:37.302841 : Epoch  8, Batch    412, Loss  0.521577, Average Loss  0.537670, Time  0.258600
2021-09-10 02:08:39.214069 : Epoch  8, Batch    413, Loss  0.530328, Average Loss  0.537610, Time  0.258333
2021-09-10 02:08:41.099382 : Epoch  8, Batch    414, Loss  0.525593, Average Loss  0.537505, Time  0.260327
2021-09-10 02:08:43.016104 : Epoch  8, Batch    415, Loss  0.524066, Average Loss  0.537472, Time  0.258328
2021-09-10 02:08:44.920843 : Epoch  8, Batch    416, Loss  0.526501, Average Loss  0.537461, Time  0.262193
2021-09-10 02:08:46.804940 : Epoch  8, Batch    417, Loss  0.521083, Average Loss  0.537420, Time  0.258635
2021-09-10 02:08:48.675127 : Epoch  8, Batch    418, Loss  0.534325, Average Loss  0.537465, Time  0.261943
2021-09-10 02:08:50.565766 : Epoch  8, Batch    419, Loss  0.542307, Average Loss  0.537440, Time  0.262405
2021-09-10 02:08:52.461801 : Epoch  8, Batch    420, Loss  0.529924, Average Loss  0.537470, Time  0.261712
2021-09-10 02:08:54.358089 : Epoch  8, Batch    421, Loss  0.546672, Average Loss  0.537505, Time  0.260699
2021-09-10 02:08:56.243761 : Epoch  8, Batch    422, Loss  0.538875, Average Loss  0.537481, Time  0.260794
2021-09-10 02:08:58.126096 : Epoch  8, Batch    423, Loss  0.538128, Average Loss  0.537449, Time  0.262886
2021-09-10 02:09:00.015776 : Epoch  8, Batch    424, Loss  0.542742, Average Loss  0.537486, Time  0.278380
2021-09-10 02:09:01.900886 : Epoch  8, Batch    425, Loss  0.532528, Average Loss  0.537453, Time  0.258705
2021-09-10 02:09:03.791804 : Epoch  8, Batch    426, Loss  0.551821, Average Loss  0.537518, Time  0.267220
2021-09-10 02:09:05.683845 : Epoch  8, Batch    427, Loss  0.541876, Average Loss  0.537512, Time  0.258181
2021-09-10 02:09:07.570278 : Epoch  8, Batch    428, Loss  0.537752, Average Loss  0.537539, Time  0.259881
2021-09-10 02:09:09.433300 : Epoch  8, Batch    429, Loss  0.549477, Average Loss  0.537559, Time  0.258131
2021-09-10 02:09:11.332131 : Epoch  8, Batch    430, Loss  0.546848, Average Loss  0.537625, Time  0.262015
2021-09-10 02:09:13.220098 : Epoch  8, Batch    431, Loss  0.544334, Average Loss  0.537671, Time  0.258248
2021-09-10 02:09:15.115776 : Epoch  8, Batch    432, Loss  0.542468, Average Loss  0.537749, Time  0.258612
2021-09-10 02:09:17.030482 : Epoch  8, Batch    433, Loss  0.545724, Average Loss  0.537795, Time  0.260462
2021-09-10 02:09:18.935771 : Epoch  8, Batch    434, Loss  0.542751, Average Loss  0.537849, Time  0.258199
2021-09-10 02:09:20.825064 : Epoch  8, Batch    435, Loss  0.537511, Average Loss  0.537839, Time  0.261621
2021-09-10 02:09:22.723821 : Epoch  8, Batch    436, Loss  0.554705, Average Loss  0.537948, Time  0.260925
2021-09-10 02:09:24.617886 : Epoch  8, Batch    437, Loss  0.543791, Average Loss  0.537988, Time  0.262454
2021-09-10 02:09:26.511087 : Epoch  8, Batch    438, Loss  0.534630, Average Loss  0.538041, Time  0.257931
2021-09-10 02:09:28.414989 : Epoch  8, Batch    439, Loss  0.537722, Average Loss  0.538039, Time  0.263424
2021-09-10 02:09:30.303756 : Epoch  8, Batch    440, Loss  0.534766, Average Loss  0.538055, Time  0.267935
2021-09-10 02:09:32.186095 : Epoch  8, Batch    441, Loss  0.547918, Average Loss  0.538120, Time  0.258154
2021-09-10 02:09:34.090789 : Epoch  8, Batch    442, Loss  0.520665, Average Loss  0.538148, Time  0.265800
2021-09-10 02:09:35.975876 : Epoch  8, Batch    443, Loss  0.535017, Average Loss  0.538132, Time  0.264886
2021-09-10 02:09:37.901116 : Epoch  8, Batch    444, Loss  0.544230, Average Loss  0.538163, Time  0.260829
2021-09-10 02:09:39.819139 : Epoch  8, Batch    445, Loss  0.530340, Average Loss  0.538186, Time  0.270872
2021-09-10 02:09:41.727791 : Epoch  8, Batch    446, Loss  0.533121, Average Loss  0.538230, Time  0.278770
2021-09-10 02:09:43.660099 : Epoch  8, Batch    447, Loss  0.547844, Average Loss  0.538293, Time  0.266315
2021-09-10 02:09:45.551809 : Epoch  8, Batch    448, Loss  0.539945, Average Loss  0.538325, Time  0.258651
2021-09-10 02:09:47.447998 : Epoch  8, Batch    449, Loss  0.535717, Average Loss  0.538319, Time  0.264908
2021-09-10 02:09:49.352823 : Epoch  8, Batch    450, Loss  0.535547, Average Loss  0.538308, Time  0.260444
2021-09-10 02:09:51.274093 : Epoch  8, Batch    451, Loss  0.545654, Average Loss  0.538346, Time  0.258636
2021-09-10 02:09:53.175927 : Epoch  8, Batch    452, Loss  0.549030, Average Loss  0.538424, Time  0.258342
2021-09-10 02:09:55.042873 : Epoch  8, Batch    453, Loss  0.533691, Average Loss  0.538365, Time  0.258137
2021-09-10 02:09:56.958905 : Epoch  8, Batch    454, Loss  0.542558, Average Loss  0.538388, Time  0.269186
2021-09-10 02:09:58.888131 : Epoch  8, Batch    455, Loss  0.541469, Average Loss  0.538406, Time  0.263861
2021-09-10 02:10:00.798789 : Epoch  8, Batch    456, Loss  0.531969, Average Loss  0.538411, Time  0.274579
2021-09-10 02:10:02.695091 : Epoch  8, Batch    457, Loss  0.532690, Average Loss  0.538414, Time  0.258547
2021-09-10 02:10:04.581804 : Epoch  8, Batch    458, Loss  0.535406, Average Loss  0.538399, Time  0.258159
2021-09-10 02:10:06.450833 : Epoch  8, Batch    459, Loss  0.528960, Average Loss  0.538288, Time  0.258252
2021-09-10 02:10:08.358809 : Epoch  8, Batch    460, Loss  0.541414, Average Loss  0.538303, Time  0.262565
2021-09-10 02:10:10.242867 : Epoch  8, Batch    461, Loss  0.531968, Average Loss  0.538252, Time  0.261463
2021-09-10 02:10:14.224886 : Epoch  8, Batch    462, Loss  0.540599, Average Loss  0.538277, Time  0.271018
2021-09-10 02:10:16.104945 : Epoch  8, Batch    463, Loss  0.531927, Average Loss  0.538289, Time  0.259962
2021-09-10 02:10:17.985812 : Epoch  8, Batch    464, Loss  0.550648, Average Loss  0.538442, Time  0.259118
2021-09-10 02:10:19.891422 : Epoch  8, Batch    465, Loss  0.547650, Average Loss  0.538471, Time  0.264207
2021-09-10 02:10:21.813011 : Epoch  8, Batch    466, Loss  0.534187, Average Loss  0.538485, Time  0.265369
2021-09-10 02:10:23.685925 : Epoch  8, Batch    467, Loss  0.524430, Average Loss  0.538471, Time  0.258582
2021-09-10 02:10:25.578089 : Epoch  8, Batch    468, Loss  0.546960, Average Loss  0.538593, Time  0.258593
2021-09-10 02:10:27.494076 : Epoch  8, Batch    469, Loss  0.540644, Average Loss  0.538639, Time  0.261502
2021-09-10 02:10:29.376091 : Epoch  8, Batch    470, Loss  0.538862, Average Loss  0.538594, Time  0.265445
2021-09-10 02:10:31.282089 : Epoch  8, Batch    471, Loss  0.543062, Average Loss  0.538612, Time  0.266677
2021-09-10 02:10:32.956714 : CheckPoint: Validation Loss  0.00063061, Best Loss  0.00056427
2021-09-10 02:10:33.196827 : Epoch  8, Batch    472, Loss  0.541745, Average Loss  0.538635, Time  0.269419
2021-09-10 02:10:34.753007 : Epoch  8, Batch   1524, Loss  0.856936, Average Loss  0.866678, Time  0.354451
2021-09-10 02:10:35.102876 : Epoch  8, Batch    473, Loss  0.535720, Average Loss  0.538615, Time  0.261587
2021-09-10 02:10:36.627824 : Epoch  8, Batch   1525, Loss  0.833804, Average Loss  0.866439, Time  0.409435
2021-09-10 02:10:36.993089 : Epoch  8, Batch    474, Loss  0.535054, Average Loss  0.538568, Time  0.265000
2021-09-10 02:10:38.539764 : Epoch  8, Batch   1526, Loss  0.854214, Average Loss  0.866395, Time  0.452677
2021-09-10 02:10:38.871078 : Epoch  8, Batch    475, Loss  0.545151, Average Loss  0.538596, Time  0.265629
2021-09-10 02:10:40.366827 : Epoch  8, Batch   1527, Loss  0.858523, Average Loss  0.866522, Time  0.410473
2021-09-10 02:10:40.772084 : Epoch  8, Batch    476, Loss  0.544163, Average Loss  0.538616, Time  0.258146
2021-09-10 02:10:42.171886 : Epoch  8, Batch   1528, Loss  0.875050, Average Loss  0.866447, Time  0.365776
2021-09-10 02:10:42.668080 : Epoch  8, Batch    477, Loss  0.538572, Average Loss  0.538660, Time  0.257909
2021-09-10 02:10:43.948337 : Epoch  8, Batch   1529, Loss  0.888087, Average Loss  0.866307, Time  0.357873
2021-09-10 02:10:44.568978 : Epoch  8, Batch    478, Loss  0.524607, Average Loss  0.538547, Time  0.276710
2021-09-10 02:10:45.838776 : Epoch  8, Batch   1530, Loss  0.860295, Average Loss  0.866255, Time  0.448577
2021-09-10 02:10:46.473079 : Epoch  8, Batch    479, Loss  0.533738, Average Loss  0.538561, Time  0.261604
2021-09-10 02:10:47.737468 : Epoch  8, Batch   1531, Loss  0.869707, Average Loss  0.866255, Time  0.466790
2021-09-10 02:10:48.389934 : Epoch  8, Batch    480, Loss  0.547412, Average Loss  0.538597, Time  0.258533
2021-09-10 02:10:49.524804 : Epoch  8, Batch   1532, Loss  0.885355, Average Loss  0.866478, Time  0.359063
2021-09-10 02:10:50.297798 : Epoch  8, Batch    481, Loss  0.536704, Average Loss  0.538632, Time  0.260901
2021-09-10 02:10:51.322111 : Epoch  8, Batch   1533, Loss  0.839855, Average Loss  0.866328, Time  0.370457
2021-09-10 02:10:52.222922 : Epoch  8, Batch    482, Loss  0.559707, Average Loss  0.538802, Time  0.262130
2021-09-10 02:10:53.145826 : Epoch  8, Batch   1534, Loss  0.857930, Average Loss  0.866203, Time  0.374561
2021-09-10 02:10:54.142661 : Epoch  8, Batch    483, Loss  0.541555, Average Loss  0.538830, Time  0.259065
2021-09-10 02:10:55.080765 : Epoch  8, Batch   1535, Loss  0.885740, Average Loss  0.866385, Time  0.478187
2021-09-10 02:10:56.045981 : Epoch  8, Batch    484, Loss  0.530803, Average Loss  0.538739, Time  0.259016
2021-09-10 02:10:56.836780 : Epoch  8, Batch   1536, Loss  0.893190, Average Loss  0.866567, Time  0.346681
2021-09-10 02:10:57.966088 : Epoch  8, Batch    485, Loss  0.538133, Average Loss  0.538716, Time  0.263185
2021-09-10 02:10:58.651779 : Epoch  8, Batch   1537, Loss  0.864053, Average Loss  0.866794, Time  0.364402
2021-09-10 02:10:59.892070 : Epoch  8, Batch    486, Loss  0.537859, Average Loss  0.538685, Time  0.261074
2021-09-10 02:11:00.437890 : Epoch  8, Batch   1538, Loss  0.852886, Average Loss  0.866541, Time  0.357420
2021-09-10 02:11:01.788772 : Epoch  8, Batch    487, Loss  0.546961, Average Loss  0.538771, Time  0.266562
2021-09-10 02:11:02.338782 : Epoch  8, Batch   1539, Loss  0.881596, Average Loss  0.866621, Time  0.460114
2021-09-10 02:11:03.697121 : Epoch  8, Batch    488, Loss  0.543740, Average Loss  0.538844, Time  0.260389
2021-09-10 02:11:04.264115 : Epoch  8, Batch   1540, Loss  0.853161, Average Loss  0.866748, Time  0.454264
2021-09-10 02:11:05.591785 : Epoch  8, Batch    489, Loss  0.540389, Average Loss  0.538907, Time  0.259130
2021-09-10 02:11:06.047762 : Epoch  8, Batch   1541, Loss  0.877203, Average Loss  0.866773, Time  0.365678
2021-09-10 02:11:07.517944 : Epoch  8, Batch    490, Loss  0.536530, Average Loss  0.538788, Time  0.267764
2021-09-10 02:11:07.814961 : Epoch  8, Batch   1542, Loss  0.866818, Average Loss  0.866803, Time  0.366160
2021-09-10 02:11:09.655979 : Epoch  8, Batch   1543, Loss  0.860727, Average Loss  0.866759, Time  0.419887
2021-09-10 02:11:11.523787 : Epoch  8, Batch    491, Loss  0.534987, Average Loss  0.538815, Time  0.270346
2021-09-10 02:11:11.560906 : Epoch  8, Batch   1544, Loss  0.882974, Average Loss  0.866780, Time  0.443657
2021-09-10 02:11:13.457862 : Epoch  8, Batch   1545, Loss  0.861707, Average Loss  0.866872, Time  0.434626
2021-09-10 02:11:15.258159 : Epoch  8, Batch   1546, Loss  0.854744, Average Loss  0.866705, Time  0.356475
2021-09-10 02:11:17.048786 : Epoch  8, Batch   1547, Loss  0.891075, Average Loss  0.866797, Time  0.357877
2021-09-10 02:11:18.922112 : Epoch  8, Batch   1548, Loss  0.842514, Average Loss  0.866697, Time  0.433469
2021-09-10 02:11:20.800782 : Epoch  8, Batch   1549, Loss  0.860188, Average Loss  0.866706, Time  0.452984
2021-09-10 02:11:22.597386 : Epoch  8, Batch   1550, Loss  0.844814, Average Loss  0.866590, Time  0.371935
2021-09-10 02:11:24.405778 : Epoch  8, Batch   1551, Loss  0.853230, Average Loss  0.866600, Time  0.357929
2021-09-10 02:11:26.236942 : Epoch  8, Batch   1552, Loss  0.845196, Average Loss  0.866582, Time  0.381481
2021-09-10 02:11:28.140883 : Epoch  8, Batch   1553, Loss  0.831630, Average Loss  0.866396, Time  0.457128
2021-09-10 02:11:30.018143 : Epoch  8, Batch   1554, Loss  0.851309, Average Loss  0.866294, Time  0.427810
2021-09-10 02:11:31.816119 : Epoch  8, Batch   1555, Loss  0.847558, Average Loss  0.866162, Time  0.370202
2021-09-10 02:11:33.582932 : Epoch  8, Batch   1556, Loss  0.902610, Average Loss  0.866374, Time  0.359114
2021-09-10 02:11:35.477787 : Epoch  8, Batch   1557, Loss  0.863296, Average Loss  0.866386, Time  0.437808
2021-09-10 02:11:37.388777 : Epoch  8, Batch   1558, Loss  0.870100, Average Loss  0.866435, Time  0.463031
2021-09-10 02:11:39.149767 : Epoch  8, Batch   1559, Loss  0.847514, Average Loss  0.866356, Time  0.358967
2021-09-10 02:11:40.924125 : Epoch  8, Batch   1560, Loss  0.871668, Average Loss  0.866403, Time  0.363244
2021-09-10 02:11:42.737742 : Epoch  8, Batch   1561, Loss  0.828827, Average Loss  0.866249, Time  0.394486
2021-09-10 02:11:44.608871 : Epoch  8, Batch   1562, Loss  0.843671, Average Loss  0.866198, Time  0.451861
2021-09-10 02:11:46.419777 : Epoch  8, Batch   1563, Loss  0.900096, Average Loss  0.866339, Time  0.356986
2021-09-10 02:11:48.208766 : Epoch  8, Batch   1564, Loss  0.878961, Average Loss  0.866334, Time  0.369004
2021-09-10 02:11:49.991118 : Epoch  8, Batch   1565, Loss  0.866654, Average Loss  0.866234, Time  0.367921
2021-09-10 02:11:51.866779 : Epoch  8, Batch   1566, Loss  0.863232, Average Loss  0.866267, Time  0.460244
2021-09-10 02:11:53.646553 : Epoch  8, Batch   1567, Loss  0.874457, Average Loss  0.866194, Time  0.357601
2021-09-10 02:11:55.418116 : Epoch  8, Batch   1568, Loss  0.851469, Average Loss  0.866058, Time  0.355476
2021-09-10 02:11:57.258780 : Epoch  8, Batch   1569, Loss  0.874267, Average Loss  0.866138, Time  0.397965
2021-09-10 02:11:59.156777 : Epoch  8, Batch   1570, Loss  0.845255, Average Loss  0.866069, Time  0.466753
2021-09-10 02:12:00.926788 : Epoch  8, Batch   1571, Loss  0.865429, Average Loss  0.866014, Time  0.352369
2021-09-10 02:12:02.703781 : Epoch  8, Batch   1572, Loss  0.864704, Average Loss  0.866081, Time  0.371910
2021-09-10 02:12:04.508786 : Epoch  8, Batch   1573, Loss  0.828501, Average Loss  0.865832, Time  0.378110
2021-09-10 02:12:06.409777 : Epoch  8, Batch   1574, Loss  0.883632, Average Loss  0.865856, Time  0.459568
2021-09-10 02:12:08.279764 : Epoch  8, Batch   1575, Loss  0.874986, Average Loss  0.865831, Time  0.446156
2021-09-10 02:12:10.075777 : Epoch  8, Batch   1576, Loss  0.836381, Average Loss  0.865680, Time  0.361966
2021-09-10 02:12:11.888401 : Epoch  8, Batch   1577, Loss  0.860971, Average Loss  0.865537, Time  0.359138
2021-09-10 02:12:13.718777 : Epoch  8, Batch   1578, Loss  0.851493, Average Loss  0.865421, Time  0.417893
2021-09-10 02:12:15.588365 : Epoch  8, Batch   1579, Loss  0.846786, Average Loss  0.865374, Time  0.453524
2021-09-10 02:12:17.363781 : Epoch  8, Batch   1580, Loss  0.856958, Average Loss  0.865516, Time  0.356247
2021-09-10 02:12:19.174787 : Epoch  8, Batch   1581, Loss  0.880368, Average Loss  0.865667, Time  0.358027
2021-09-10 02:12:20.991848 : Epoch  8, Batch   1582, Loss  0.868684, Average Loss  0.865617, Time  0.365910
2021-09-10 02:12:21.256736 : CheckPoint: Validation Loss  0.00021754, Best Loss  0.00021723
2021-09-10 02:12:22.899801 : Epoch  8, Batch   1583, Loss  0.849560, Average Loss  0.865616, Time  0.452321
2021-09-10 02:12:23.172862 : Epoch  8, Batch    492, Loss  0.549292, Average Loss  0.538854, Time  0.266031
2021-09-10 02:12:24.774770 : Epoch  8, Batch   1584, Loss  0.880602, Average Loss  0.865517, Time  0.417622
2021-09-10 02:12:25.065050 : Epoch  8, Batch    493, Loss  0.543229, Average Loss  0.538795, Time  0.265431
2021-09-10 02:12:26.572787 : Epoch  8, Batch   1585, Loss  0.854170, Average Loss  0.865523, Time  0.357599
2021-09-10 02:12:26.943070 : Epoch  8, Batch    494, Loss  0.542017, Average Loss  0.538791, Time  0.263003
2021-09-10 02:12:28.381833 : Epoch  8, Batch   1586, Loss  0.864403, Average Loss  0.865557, Time  0.356851
2021-09-10 02:12:28.844887 : Epoch  8, Batch    495, Loss  0.555134, Average Loss  0.538900, Time  0.270200
2021-09-10 02:12:30.234825 : Epoch  8, Batch   1587, Loss  0.875471, Average Loss  0.865475, Time  0.415460
2021-09-10 02:12:30.738863 : Epoch  8, Batch    496, Loss  0.550974, Average Loss  0.538945, Time  0.268781
2021-09-10 02:12:32.132787 : Epoch  8, Batch   1588, Loss  0.882566, Average Loss  0.865443, Time  0.451805
2021-09-10 02:12:32.669816 : Epoch  8, Batch    497, Loss  0.535206, Average Loss  0.538946, Time  0.265408
2021-09-10 02:12:33.926091 : Epoch  8, Batch   1589, Loss  0.860772, Average Loss  0.865434, Time  0.354253
2021-09-10 02:12:34.577817 : Epoch  8, Batch    498, Loss  0.535091, Average Loss  0.538939, Time  0.258804
2021-09-10 02:12:35.726100 : Epoch  8, Batch   1590, Loss  0.859349, Average Loss  0.865516, Time  0.359954
2021-09-10 02:12:36.484884 : Epoch  8, Batch    499, Loss  0.545934, Average Loss  0.538957, Time  0.258302
2021-09-10 02:12:37.539094 : Epoch  8, Batch   1591, Loss  0.859695, Average Loss  0.865595, Time  0.366471
2021-09-10 02:12:38.410797 : Epoch  8, Batch    500, Loss  0.539660, Average Loss  0.538959, Time  0.259433
2021-09-10 02:12:39.429786 : Epoch  8, Batch   1592, Loss  0.860933, Average Loss  0.865546, Time  0.451601
2021-09-10 02:12:40.323088 : Epoch  8, Batch    501, Loss  0.529510, Average Loss  0.538882, Time  0.266542
2021-09-10 02:12:41.297828 : Epoch  8, Batch   1593, Loss  0.880427, Average Loss  0.865608, Time  0.413271
2021-09-10 02:12:42.244087 : Epoch  8, Batch    502, Loss  0.541620, Average Loss  0.538871, Time  0.274414
2021-09-10 02:12:43.105769 : Epoch  8, Batch   1594, Loss  0.860767, Average Loss  0.865477, Time  0.356370
2021-09-10 02:12:44.137869 : Epoch  8, Batch    503, Loss  0.535597, Average Loss  0.538824, Time  0.261486
2021-09-10 02:12:44.881888 : Epoch  8, Batch   1595, Loss  0.859648, Average Loss  0.865344, Time  0.358100
2021-09-10 02:12:46.059784 : Epoch  8, Batch    504, Loss  0.527505, Average Loss  0.538804, Time  0.260806
2021-09-10 02:12:46.755782 : Epoch  8, Batch   1596, Loss  0.877223, Average Loss  0.865444, Time  0.427730
2021-09-10 02:12:47.971086 : Epoch  8, Batch    505, Loss  0.539408, Average Loss  0.538796, Time  0.259553
2021-09-10 02:12:48.673786 : Epoch  8, Batch   1597, Loss  0.861962, Average Loss  0.865227, Time  0.452690
2021-09-10 02:12:49.866857 : Epoch  8, Batch    506, Loss  0.540626, Average Loss  0.538833, Time  0.262911
2021-09-10 02:12:50.453111 : Epoch  8, Batch   1598, Loss  0.862459, Average Loss  0.865217, Time  0.355975
2021-09-10 02:12:51.768870 : Epoch  8, Batch    507, Loss  0.534504, Average Loss  0.538823, Time  0.262038
2021-09-10 02:12:52.259778 : Epoch  8, Batch   1599, Loss  0.890286, Average Loss  0.865275, Time  0.364666
2021-09-10 02:12:53.662808 : Epoch  8, Batch    508, Loss  0.528305, Average Loss  0.538794, Time  0.258818
2021-09-10 02:12:54.037182 : Epoch  8, Batch   1600, Loss  0.855830, Average Loss  0.865174, Time  0.361953
2021-09-10 02:12:55.572146 : Epoch  8, Batch    509, Loss  0.539088, Average Loss  0.538894, Time  0.259423
2021-09-10 02:12:55.911770 : Epoch  8, Batch   1601, Loss  0.864746, Average Loss  0.865153, Time  0.466079
2021-09-10 02:12:57.476765 : Epoch  8, Batch    510, Loss  0.525137, Average Loss  0.538909, Time  0.258559
2021-09-10 02:12:57.753282 : Epoch  8, Batch   1602, Loss  0.877854, Average Loss  0.865242, Time  0.430694
2021-09-10 02:12:59.376795 : Epoch  8, Batch    511, Loss  0.543599, Average Loss  0.538876, Time  0.266084
2021-09-10 02:12:59.555768 : Epoch  8, Batch   1603, Loss  0.904011, Average Loss  0.865622, Time  0.365913
2021-09-10 02:13:01.272763 : Epoch  8, Batch    512, Loss  0.548737, Average Loss  0.538902, Time  0.264974
2021-09-10 02:13:01.341953 : Epoch  8, Batch   1604, Loss  0.862761, Average Loss  0.865689, Time  0.360916
2021-09-10 02:13:03.143801 : Epoch  8, Batch    513, Loss  0.543430, Average Loss  0.538921, Time  0.257983
2021-09-10 02:13:03.214790 : Epoch  8, Batch   1605, Loss  0.827020, Average Loss  0.865496, Time  0.412514
2021-09-10 02:13:05.027878 : Epoch  8, Batch    514, Loss  0.541856, Average Loss  0.538882, Time  0.260022
2021-09-10 02:13:05.095998 : Epoch  8, Batch   1606, Loss  0.845471, Average Loss  0.865392, Time  0.461862
2021-09-10 02:13:06.906761 : Epoch  8, Batch   1607, Loss  0.885757, Average Loss  0.865455, Time  0.369508
2021-09-10 02:13:06.945862 : Epoch  8, Batch    515, Loss  0.528394, Average Loss  0.538812, Time  0.261877
2021-09-10 02:13:08.685783 : Epoch  8, Batch   1608, Loss  0.857056, Average Loss  0.865478, Time  0.358614
2021-09-10 02:13:08.839815 : Epoch  8, Batch    516, Loss  0.526908, Average Loss  0.538741, Time  0.260898
2021-09-10 02:13:10.471831 : Epoch  8, Batch   1609, Loss  0.878156, Average Loss  0.865501, Time  0.376374
2021-09-10 02:13:10.721865 : Epoch  8, Batch    517, Loss  0.534735, Average Loss  0.538759, Time  0.274414
2021-09-10 02:13:12.353810 : Epoch  8, Batch   1610, Loss  0.846151, Average Loss  0.865443, Time  0.451637
2021-09-10 02:13:12.617425 : Epoch  8, Batch    518, Loss  0.537073, Average Loss  0.538783, Time  0.271806
2021-09-10 02:13:14.169765 : Epoch  8, Batch   1611, Loss  0.875771, Average Loss  0.865471, Time  0.366570
2021-09-10 02:13:14.519084 : Epoch  8, Batch    519, Loss  0.542506, Average Loss  0.538771, Time  0.259587
2021-09-10 02:13:15.966825 : Epoch  8, Batch   1612, Loss  0.852780, Average Loss  0.865604, Time  0.354856
2021-09-10 02:13:16.443086 : Epoch  8, Batch    520, Loss  0.524064, Average Loss  0.538699, Time  0.267645
2021-09-10 02:13:17.766129 : Epoch  8, Batch   1613, Loss  0.844352, Average Loss  0.865381, Time  0.364875
2021-09-10 02:13:18.333157 : Epoch  8, Batch    521, Loss  0.539049, Average Loss  0.538695, Time  0.258349
2021-09-10 02:13:19.648780 : Epoch  8, Batch   1614, Loss  0.859766, Average Loss  0.865406, Time  0.457904
2021-09-10 02:13:20.249905 : Epoch  8, Batch    522, Loss  0.535691, Average Loss  0.538686, Time  0.270223
2021-09-10 02:13:21.557783 : Epoch  8, Batch   1615, Loss  0.848828, Average Loss  0.865316, Time  0.460362
2021-09-10 02:13:22.164074 : Epoch  8, Batch    523, Loss  0.537314, Average Loss  0.538705, Time  0.258427
2021-09-10 02:13:23.368687 : Epoch  8, Batch   1616, Loss  0.878999, Average Loss  0.865409, Time  0.358377
2021-09-10 02:13:24.107869 : Epoch  8, Batch    524, Loss  0.540839, Average Loss  0.538662, Time  0.265171
2021-09-10 02:13:25.162782 : Epoch  8, Batch   1617, Loss  0.855930, Average Loss  0.865469, Time  0.360007
2021-09-10 02:13:25.989083 : Epoch  8, Batch    525, Loss  0.532498, Average Loss  0.538649, Time  0.266249
2021-09-10 02:13:26.981071 : Epoch  8, Batch   1618, Loss  0.858939, Average Loss  0.865390, Time  0.377184
2021-09-10 02:13:27.885823 : Epoch  8, Batch    526, Loss  0.550815, Average Loss  0.538702, Time  0.258252
2021-09-10 02:13:28.861785 : Epoch  8, Batch   1619, Loss  0.858852, Average Loss  0.865353, Time  0.461231
2021-09-10 02:13:29.785094 : Epoch  8, Batch    527, Loss  0.534418, Average Loss  0.538693, Time  0.262625
2021-09-10 02:13:30.658247 : Epoch  8, Batch   1620, Loss  0.881351, Average Loss  0.865384, Time  0.364838
2021-09-10 02:13:31.706915 : Epoch  8, Batch    528, Loss  0.544219, Average Loss  0.538670, Time  0.264595
2021-09-10 02:13:32.448780 : Epoch  8, Batch   1621, Loss  0.871327, Average Loss  0.865438, Time  0.361112
2021-09-10 02:13:33.588085 : Epoch  8, Batch    529, Loss  0.544054, Average Loss  0.538706, Time  0.258250
2021-09-10 02:13:34.241777 : Epoch  8, Batch   1622, Loss  0.881489, Average Loss  0.865355, Time  0.367158
2021-09-10 02:13:35.483940 : Epoch  8, Batch    530, Loss  0.535416, Average Loss  0.538678, Time  0.261962
2021-09-10 02:13:36.161777 : Epoch  8, Batch   1623, Loss  0.900210, Average Loss  0.865607, Time  0.468479
2021-09-10 02:13:37.423374 : Epoch  8, Batch    531, Loss  0.556448, Average Loss  0.538783, Time  0.262721
2021-09-10 02:13:39.344159 : Epoch  8, Batch    532, Loss  0.544731, Average Loss  0.538827, Time  0.261927
2021-09-10 02:13:41.277015 : Epoch  8, Batch    533, Loss  0.522929, Average Loss  0.538758, Time  0.267138
2021-09-10 02:13:43.196772 : Epoch  8, Batch    534, Loss  0.529376, Average Loss  0.538662, Time  0.258664
2021-09-10 02:13:45.120146 : Epoch  8, Batch    535, Loss  0.534542, Average Loss  0.538665, Time  0.272712
2021-09-10 02:13:47.031104 : Epoch  8, Batch    536, Loss  0.534702, Average Loss  0.538639, Time  0.259120
2021-09-10 02:13:48.909122 : Epoch  8, Batch    537, Loss  0.537701, Average Loss  0.538601, Time  0.258753
2021-09-10 02:13:50.836146 : Epoch  8, Batch    538, Loss  0.531359, Average Loss  0.538584, Time  0.259719
2021-09-10 02:13:52.749085 : Epoch  8, Batch    539, Loss  0.540166, Average Loss  0.538508, Time  0.263702
2021-09-10 02:13:54.646767 : Epoch  8, Batch    540, Loss  0.531534, Average Loss  0.538509, Time  0.260244
2021-09-10 02:13:56.553104 : Epoch  8, Batch    541, Loss  0.544161, Average Loss  0.538576, Time  0.258324
2021-09-10 02:13:58.457777 : Epoch  8, Batch    542, Loss  0.523275, Average Loss  0.538461, Time  0.259367
2021-09-10 02:14:00.340941 : Epoch  8, Batch    543, Loss  0.528962, Average Loss  0.538428, Time  0.262329
2021-09-10 02:14:02.308168 : Epoch  8, Batch    544, Loss  0.532814, Average Loss  0.538279, Time  0.263763
2021-09-10 02:14:04.203080 : Epoch  8, Batch    545, Loss  0.531508, Average Loss  0.538281, Time  0.258620
2021-09-10 02:14:06.103088 : Epoch  8, Batch    546, Loss  0.540593, Average Loss  0.538281, Time  0.262582
2021-09-10 02:14:08.003087 : Epoch  8, Batch    547, Loss  0.536788, Average Loss  0.538198, Time  0.262167
2021-09-10 02:14:09.906795 : Epoch  8, Batch    548, Loss  0.537626, Average Loss  0.538233, Time  0.258644
2021-09-10 02:14:11.785963 : Epoch  8, Batch    549, Loss  0.541224, Average Loss  0.538225, Time  0.258736
2021-09-10 02:14:13.707096 : Epoch  8, Batch    550, Loss  0.536540, Average Loss  0.538160, Time  0.258328
2021-09-10 02:14:15.621533 : Epoch  8, Batch    551, Loss  0.540552, Average Loss  0.538198, Time  0.258769
2021-09-10 02:14:17.517937 : Epoch  8, Batch    552, Loss  0.547429, Average Loss  0.538138, Time  0.261244
2021-09-10 02:14:19.434938 : Epoch  8, Batch    553, Loss  0.541464, Average Loss  0.538155, Time  0.259963
2021-09-10 02:14:21.339871 : Epoch  8, Batch    554, Loss  0.548263, Average Loss  0.538193, Time  0.260884
2021-09-10 02:14:23.273695 : Epoch  8, Batch    555, Loss  0.549366, Average Loss  0.538253, Time  0.273391
2021-09-10 02:14:25.173842 : Epoch  8, Batch    556, Loss  0.539111, Average Loss  0.538237, Time  0.267329
2021-09-10 02:14:27.093866 : Epoch  8, Batch    557, Loss  0.546693, Average Loss  0.538295, Time  0.270943
2021-09-10 02:14:29.009759 : Epoch  8, Batch    558, Loss  0.536457, Average Loss  0.538300, Time  0.271353
2021-09-10 02:14:30.922884 : Epoch  8, Batch    559, Loss  0.532609, Average Loss  0.538301, Time  0.268208
2021-09-10 02:14:32.813093 : Epoch  8, Batch    560, Loss  0.533847, Average Loss  0.538249, Time  0.258175
2021-09-10 02:14:34.704080 : Epoch  8, Batch    561, Loss  0.527496, Average Loss  0.538161, Time  0.258175
2021-09-10 02:14:38.729808 : Epoch  8, Batch    562, Loss  0.534406, Average Loss  0.538135, Time  0.271382
2021-09-10 02:14:40.619118 : Epoch  8, Batch    563, Loss  0.530855, Average Loss  0.538134, Time  0.260370
2021-09-10 02:14:42.525875 : Epoch  8, Batch    564, Loss  0.545615, Average Loss  0.538106, Time  0.271210
2021-09-10 02:14:44.459103 : Epoch  8, Batch    565, Loss  0.537206, Average Loss  0.538139, Time  0.265602
2021-09-10 02:14:46.356991 : Epoch  8, Batch    566, Loss  0.552441, Average Loss  0.538284, Time  0.270476
2021-09-10 02:14:48.281881 : Epoch  8, Batch    567, Loss  0.536118, Average Loss  0.538286, Time  0.266200
2021-09-10 02:14:50.162094 : Epoch  8, Batch    568, Loss  0.538167, Average Loss  0.538274, Time  0.258205
2021-09-10 02:14:52.049114 : Epoch  8, Batch    569, Loss  0.544666, Average Loss  0.538287, Time  0.266000
2021-09-10 02:14:53.958867 : Epoch  8, Batch    570, Loss  0.530469, Average Loss  0.538235, Time  0.268371
2021-09-10 02:14:55.851791 : Epoch  8, Batch    571, Loss  0.539870, Average Loss  0.538240, Time  0.258222
2021-09-10 02:14:57.739969 : Epoch  8, Batch    572, Loss  0.532282, Average Loss  0.538187, Time  0.264599
2021-09-10 02:14:59.614850 : Epoch  8, Batch    573, Loss  0.537675, Average Loss  0.538229, Time  0.259371
2021-09-10 02:15:01.503765 : Epoch  8, Batch    574, Loss  0.531916, Average Loss  0.538189, Time  0.258567
2021-09-10 02:15:03.380465 : Epoch  8, Batch    575, Loss  0.533502, Average Loss  0.538182, Time  0.258389
2021-09-10 02:15:05.253005 : Epoch  8, Batch    576, Loss  0.537228, Average Loss  0.538268, Time  0.259420
2021-09-10 02:15:07.118901 : Epoch  8, Batch    577, Loss  0.528254, Average Loss  0.538202, Time  0.258178
2021-09-10 02:15:09.024839 : Epoch  8, Batch    578, Loss  0.536296, Average Loss  0.538211, Time  0.258676
2021-09-10 02:15:10.905991 : Epoch  8, Batch    579, Loss  0.538822, Average Loss  0.538174, Time  0.267534
2021-09-10 02:15:12.791794 : Epoch  8, Batch    580, Loss  0.534659, Average Loss  0.538081, Time  0.258920
2021-09-10 02:15:14.684074 : Epoch  8, Batch    581, Loss  0.535657, Average Loss  0.538020, Time  0.265097
2021-09-10 02:15:16.556769 : Epoch  8, Batch    582, Loss  0.544175, Average Loss  0.538154, Time  0.258366
2021-09-10 02:15:18.428161 : Epoch  8, Batch    583, Loss  0.544517, Average Loss  0.538209, Time  0.258262
2021-09-10 02:15:20.286985 : Epoch  8, Batch    584, Loss  0.529759, Average Loss  0.538131, Time  0.258345
2021-09-10 02:15:22.185073 : Epoch  8, Batch    585, Loss  0.531084, Average Loss  0.538133, Time  0.272580
2021-09-10 02:15:24.080765 : Epoch  8, Batch    586, Loss  0.544762, Average Loss  0.538159, Time  0.258141
2021-09-10 02:15:25.999082 : Epoch  8, Batch    587, Loss  0.534652, Average Loss  0.538120, Time  0.262046
2021-09-10 02:15:27.913781 : Epoch  8, Batch    588, Loss  0.546086, Average Loss  0.538217, Time  0.257906
2021-09-10 02:15:29.827063 : Epoch  8, Batch    589, Loss  0.535666, Average Loss  0.538236, Time  0.257671
2021-09-10 02:15:31.730111 : Epoch  8, Batch    590, Loss  0.547535, Average Loss  0.538315, Time  0.258263
2021-09-10 02:15:33.610083 : Epoch  8, Batch    591, Loss  0.539909, Average Loss  0.538256, Time  0.257964
2021-09-10 02:16:43.606748 : CheckPoint: Validation Loss  0.00022079, Best Loss  0.00021723
2021-09-10 02:16:45.543950 : Epoch  8, Batch    592, Loss  0.541315, Average Loss  0.538248, Time  0.270035
2021-09-10 02:16:47.455937 : Epoch  8, Batch    593, Loss  0.521386, Average Loss  0.538140, Time  0.276537
2021-09-10 02:16:49.362478 : Epoch  8, Batch    594, Loss  0.540693, Average Loss  0.538114, Time  0.266037
2021-09-10 02:16:51.246848 : Epoch  8, Batch    595, Loss  0.534485, Average Loss  0.538153, Time  0.266223
2021-09-10 02:16:53.147069 : Epoch  8, Batch    596, Loss  0.544401, Average Loss  0.538168, Time  0.266811
2021-09-10 02:16:55.027937 : Epoch  8, Batch    597, Loss  0.541820, Average Loss  0.538205, Time  0.259121
2021-09-10 02:16:56.928928 : Epoch  8, Batch    598, Loss  0.556557, Average Loss  0.538294, Time  0.261446
2021-09-10 02:16:58.829083 : Epoch  8, Batch    599, Loss  0.533133, Average Loss  0.538255, Time  0.263617
2021-09-10 02:17:00.703229 : Epoch  8, Batch    600, Loss  0.540629, Average Loss  0.538316, Time  0.264812
2021-09-10 02:17:02.593874 : Epoch  8, Batch    601, Loss  0.543560, Average Loss  0.538320, Time  0.258309
2021-09-10 02:17:04.502767 : Epoch  8, Batch    602, Loss  0.529626, Average Loss  0.538240, Time  0.259701
2021-09-10 02:17:06.399945 : Epoch  8, Batch    603, Loss  0.552633, Average Loss  0.538382, Time  0.258944
2021-09-10 02:17:08.306794 : Epoch  8, Batch    604, Loss  0.533905, Average Loss  0.538320, Time  0.269926
2021-09-10 02:17:10.194796 : Epoch  8, Batch    605, Loss  0.528185, Average Loss  0.538222, Time  0.262729
2021-09-10 02:17:12.097090 : Epoch  8, Batch    606, Loss  0.528923, Average Loss  0.538148, Time  0.262220
2021-09-10 02:17:14.004886 : Epoch  8, Batch    607, Loss  0.537860, Average Loss  0.538157, Time  0.258915
2021-09-10 02:17:15.905085 : Epoch  8, Batch    608, Loss  0.549270, Average Loss  0.538190, Time  0.260538
2021-09-10 02:17:17.827914 : Epoch  8, Batch    609, Loss  0.528819, Average Loss  0.538079, Time  0.270212
2021-09-10 02:17:19.705813 : Epoch  8, Batch    610, Loss  0.543634, Average Loss  0.538166, Time  0.258273
2021-09-10 02:17:21.591948 : Epoch  8, Batch    611, Loss  0.538842, Average Loss  0.538231, Time  0.259346
2021-09-10 02:17:23.503872 : Epoch  8, Batch    612, Loss  0.530619, Average Loss  0.538276, Time  0.267065
2021-09-10 02:17:25.417819 : Epoch  8, Batch    613, Loss  0.532630, Average Loss  0.538287, Time  0.283408
2021-09-10 02:17:27.318866 : Epoch  8, Batch    614, Loss  0.542307, Average Loss  0.538371, Time  0.281918
2021-09-10 02:17:29.208852 : Epoch  8, Batch    615, Loss  0.535826, Average Loss  0.538430, Time  0.268935
2021-09-10 02:17:31.117764 : Epoch  8, Batch    616, Loss  0.557575, Average Loss  0.538585, Time  0.261426
2021-09-10 02:17:33.014774 : Epoch  8, Batch    617, Loss  0.514840, Average Loss  0.538554, Time  0.263006
2021-09-10 02:17:34.929835 : Epoch  8, Batch    618, Loss  0.544198, Average Loss  0.538603, Time  0.258316
2021-09-10 02:17:36.844877 : Epoch  8, Batch    619, Loss  0.530590, Average Loss  0.538545, Time  0.261277
2021-09-10 02:17:38.767135 : Epoch  8, Batch    620, Loss  0.533678, Average Loss  0.538563, Time  0.265747
2021-09-10 02:17:40.656127 : Epoch  8, Batch    621, Loss  0.535225, Average Loss  0.538506, Time  0.260017
2021-09-10 02:17:42.536089 : Epoch  8, Batch    622, Loss  0.539853, Average Loss  0.538511, Time  0.258406
2021-09-10 02:17:44.515914 : Epoch  8, Batch    623, Loss  0.546951, Average Loss  0.538555, Time  0.259750
2021-09-10 02:17:46.416076 : Epoch  8, Batch    624, Loss  0.544325, Average Loss  0.538563, Time  0.262058
2021-09-10 02:17:48.303090 : Epoch  8, Batch    625, Loss  0.533306, Average Loss  0.538567, Time  0.258393
2021-09-10 02:17:50.197841 : Epoch  8, Batch    626, Loss  0.529766, Average Loss  0.538457, Time  0.261929
2021-09-10 02:17:52.091086 : Epoch  8, Batch    627, Loss  0.551025, Average Loss  0.538502, Time  0.261632
2021-09-10 02:17:54.014687 : Epoch  8, Batch    628, Loss  0.543611, Average Loss  0.538532, Time  0.261769
2021-09-10 02:17:55.909163 : Epoch  8, Batch    629, Loss  0.533256, Average Loss  0.538451, Time  0.258086
2021-09-10 02:17:57.794187 : Epoch  8, Batch    630, Loss  0.539445, Average Loss  0.538414, Time  0.258294
2021-09-10 02:17:59.716812 : Epoch  8, Batch    631, Loss  0.525999, Average Loss  0.538322, Time  0.266854
2021-09-10 02:18:01.622775 : Epoch  8, Batch    632, Loss  0.534671, Average Loss  0.538283, Time  0.261515
2021-09-10 02:18:03.529805 : Epoch  8, Batch    633, Loss  0.539503, Average Loss  0.538252, Time  0.264526
2021-09-10 02:18:05.407831 : Epoch  8, Batch    634, Loss  0.541750, Average Loss  0.538247, Time  0.259740
2021-09-10 02:18:07.297800 : Epoch  8, Batch    635, Loss  0.525374, Average Loss  0.538186, Time  0.258689
2021-09-10 02:18:09.213884 : Epoch  8, Batch    636, Loss  0.529560, Average Loss  0.538060, Time  0.270123
2021-09-10 02:18:11.101085 : Epoch  8, Batch    637, Loss  0.538357, Average Loss  0.538033, Time  0.258227
2021-09-10 02:18:13.014864 : Epoch  8, Batch    638, Loss  0.533455, Average Loss  0.538027, Time  0.262622
2021-09-10 02:18:14.945940 : Epoch  8, Batch    639, Loss  0.542785, Average Loss  0.538053, Time  0.260404
2021-09-10 02:18:16.840776 : Epoch  8, Batch    640, Loss  0.533473, Average Loss  0.538046, Time  0.258293
2021-09-10 02:18:18.731896 : Epoch  8, Batch    641, Loss  0.548014, Average Loss  0.538047, Time  0.269707
2021-09-10 02:18:20.619862 : Epoch  8, Batch    642, Loss  0.540167, Average Loss  0.538144, Time  0.258930
2021-09-10 02:18:22.523914 : Epoch  8, Batch    643, Loss  0.549066, Average Loss  0.538214, Time  0.261834
2021-09-10 02:18:24.438083 : Epoch  8, Batch    644, Loss  0.528103, Average Loss  0.538134, Time  0.261660
2021-09-10 02:18:26.338895 : Epoch  8, Batch    645, Loss  0.525900, Average Loss  0.538112, Time  0.259105
2021-09-10 02:18:28.011714 : CheckPoint: Validation Loss  0.00060295, Best Loss  0.00056427
2021-09-10 02:18:28.281815 : Epoch  8, Batch    646, Loss  0.540115, Average Loss  0.538147, Time  0.258681
2021-09-10 02:18:29.831790 : Epoch  8, Batch   1624, Loss  0.825779, Average Loss  0.865553, Time  0.356160
2021-09-10 02:18:30.166768 : Epoch  8, Batch    647, Loss  0.540889, Average Loss  0.538112, Time  0.265983
2021-09-10 02:18:31.684780 : Epoch  8, Batch   1625, Loss  0.857482, Average Loss  0.865375, Time  0.392022
2021-09-10 02:18:32.071773 : Epoch  8, Batch    648, Loss  0.549058, Average Loss  0.538157, Time  0.268085
2021-09-10 02:18:33.606090 : Epoch  8, Batch   1626, Loss  0.867751, Average Loss  0.865234, Time  0.467731
2021-09-10 02:18:33.994930 : Epoch  8, Batch    649, Loss  0.540092, Average Loss  0.538179, Time  0.261919
2021-09-10 02:18:35.375783 : Epoch  8, Batch   1627, Loss  0.867941, Average Loss  0.865234, Time  0.353484
2021-09-10 02:18:35.883858 : Epoch  8, Batch    650, Loss  0.526970, Average Loss  0.538136, Time  0.257954
2021-09-10 02:18:37.157207 : Epoch  8, Batch   1628, Loss  0.874141, Average Loss  0.865171, Time  0.356499
2021-09-10 02:18:37.783951 : Epoch  8, Batch    651, Loss  0.557396, Average Loss  0.538195, Time  0.271472
2021-09-10 02:18:38.937247 : Epoch  8, Batch   1629, Loss  0.858266, Average Loss  0.864934, Time  0.355797
2021-09-10 02:18:39.681812 : Epoch  8, Batch    652, Loss  0.532067, Average Loss  0.538110, Time  0.258138
2021-09-10 02:18:40.852112 : Epoch  8, Batch   1630, Loss  0.877512, Average Loss  0.864952, Time  0.475354
2021-09-10 02:18:41.593803 : Epoch  8, Batch    653, Loss  0.517052, Average Loss  0.538027, Time  0.263470
2021-09-10 02:18:42.736129 : Epoch  8, Batch   1631, Loss  0.851274, Average Loss  0.865081, Time  0.444282
2021-09-10 02:18:43.493809 : Epoch  8, Batch    654, Loss  0.528128, Average Loss  0.537955, Time  0.259456
2021-09-10 02:18:44.618777 : Epoch  8, Batch   1632, Loss  0.861108, Average Loss  0.865047, Time  0.379182
2021-09-10 02:18:45.355868 : Epoch  8, Batch    655, Loss  0.540813, Average Loss  0.537952, Time  0.258210
2021-09-10 02:18:46.428784 : Epoch  8, Batch   1633, Loss  0.840530, Average Loss  0.864970, Time  0.363698
2021-09-10 02:18:47.278768 : Epoch  8, Batch    656, Loss  0.553608, Average Loss  0.538060, Time  0.265488
2021-09-10 02:18:48.250793 : Epoch  8, Batch   1634, Loss  0.851635, Average Loss  0.864861, Time  0.394797
2021-09-10 02:18:49.191902 : Epoch  8, Batch    657, Loss  0.533582, Average Loss  0.538064, Time  0.264700
2021-09-10 02:18:50.172060 : Epoch  8, Batch   1635, Loss  0.834168, Average Loss  0.864725, Time  0.456627
2021-09-10 02:18:51.091136 : Epoch  8, Batch    658, Loss  0.544034, Average Loss  0.538107, Time  0.258302
2021-09-10 02:18:52.011764 : Epoch  8, Batch   1636, Loss  0.851222, Average Loss  0.864734, Time  0.406236
2021-09-10 02:18:53.001778 : Epoch  8, Batch    659, Loss  0.545917, Average Loss  0.538192, Time  0.260456
2021-09-10 02:18:53.833779 : Epoch  8, Batch   1637, Loss  0.881378, Average Loss  0.864832, Time  0.358361
2021-09-10 02:18:54.901085 : Epoch  8, Batch    660, Loss  0.536598, Average Loss  0.538168, Time  0.259198
2021-09-10 02:18:55.642115 : Epoch  8, Batch   1638, Loss  0.857631, Average Loss  0.864908, Time  0.356100
2021-09-10 02:18:56.815772 : Epoch  8, Batch    661, Loss  0.540530, Average Loss  0.538211, Time  0.270484
2021-09-10 02:18:57.516012 : Epoch  8, Batch   1639, Loss  0.863445, Average Loss  0.864935, Time  0.414947
2021-09-10 02:18:59.442848 : Epoch  8, Batch   1640, Loss  0.880584, Average Loss  0.864996, Time  0.453002
2021-09-10 02:19:00.832096 : Epoch  8, Batch    662, Loss  0.542664, Average Loss  0.538221, Time  0.276484
2021-09-10 02:19:01.294086 : Epoch  8, Batch   1641, Loss  0.866798, Average Loss  0.864990, Time  0.405459
2021-09-10 02:19:02.742146 : Epoch  8, Batch    663, Loss  0.536444, Average Loss  0.538244, Time  0.261709
2021-09-10 02:19:03.086774 : Epoch  8, Batch   1642, Loss  0.852273, Average Loss  0.865017, Time  0.357166
2021-09-10 02:19:04.636839 : Epoch  8, Batch    664, Loss  0.539519, Average Loss  0.538188, Time  0.259177
2021-09-10 02:19:04.895760 : Epoch  8, Batch   1643, Loss  0.871199, Average Loss  0.865042, Time  0.356362
2021-09-10 02:19:06.528814 : Epoch  8, Batch    665, Loss  0.540724, Average Loss  0.538154, Time  0.259505
2021-09-10 02:19:06.784773 : Epoch  8, Batch   1644, Loss  0.847020, Average Loss  0.865074, Time  0.422608
2021-09-10 02:19:08.400188 : Epoch  8, Batch    666, Loss  0.545354, Average Loss  0.538209, Time  0.258545
2021-09-10 02:19:08.686766 : Epoch  8, Batch   1645, Loss  0.851109, Average Loss  0.864855, Time  0.453708
2021-09-10 02:19:10.292112 : Epoch  8, Batch    667, Loss  0.539577, Average Loss  0.538285, Time  0.262428
2021-09-10 02:19:10.453894 : Epoch  8, Batch   1646, Loss  0.819165, Average Loss  0.864534, Time  0.349896
2021-09-10 02:19:12.185097 : Epoch  8, Batch    668, Loss  0.531646, Average Loss  0.538209, Time  0.260947
2021-09-10 02:19:12.238054 : Epoch  8, Batch   1647, Loss  0.871452, Average Loss  0.864461, Time  0.357507
2021-09-10 02:19:14.059782 : Epoch  8, Batch   1648, Loss  0.835067, Average Loss  0.864210, Time  0.357593
2021-09-10 02:19:14.109999 : Epoch  8, Batch    669, Loss  0.525388, Average Loss  0.538132, Time  0.258833
2021-09-10 02:19:15.961785 : Epoch  8, Batch   1649, Loss  0.859395, Average Loss  0.864218, Time  0.453319
2021-09-10 02:19:16.040819 : Epoch  8, Batch    670, Loss  0.533133, Average Loss  0.538104, Time  0.258597
2021-09-10 02:19:17.834157 : Epoch  8, Batch   1650, Loss  0.903875, Average Loss  0.864468, Time  0.415057
2021-09-10 02:19:17.958821 : Epoch  8, Batch    671, Loss  0.542088, Average Loss  0.538099, Time  0.258823
2021-09-10 02:19:19.651990 : Epoch  8, Batch   1651, Loss  0.838931, Average Loss  0.864303, Time  0.358120
2021-09-10 02:19:19.869762 : Epoch  8, Batch    672, Loss  0.533236, Average Loss  0.538056, Time  0.258554
2021-09-10 02:19:21.454290 : Epoch  8, Batch   1652, Loss  0.853781, Average Loss  0.864201, Time  0.356046
2021-09-10 02:19:21.769079 : Epoch  8, Batch    673, Loss  0.519941, Average Loss  0.537977, Time  0.264215
2021-09-10 02:19:23.335767 : Epoch  8, Batch   1653, Loss  0.872461, Average Loss  0.864303, Time  0.415908
2021-09-10 02:19:23.691931 : Epoch  8, Batch    674, Loss  0.545331, Average Loss  0.538029, Time  0.283492
2021-09-10 02:19:25.221819 : Epoch  8, Batch   1654, Loss  0.845719, Average Loss  0.864225, Time  0.450199
2021-09-10 02:19:25.565838 : Epoch  8, Batch    675, Loss  0.536791, Average Loss  0.537987, Time  0.258561
2021-09-10 02:19:26.999708 : Epoch  8, Batch   1655, Loss  0.861034, Average Loss  0.864478, Time  0.345417
2021-09-10 02:19:27.450902 : Epoch  8, Batch    676, Loss  0.542490, Average Loss  0.537979, Time  0.258611
2021-09-10 02:19:28.766220 : Epoch  8, Batch   1656, Loss  0.888118, Average Loss  0.864557, Time  0.355496
2021-09-10 02:19:29.323289 : Epoch  8, Batch    677, Loss  0.548438, Average Loss  0.538028, Time  0.266983
2021-09-10 02:19:30.551782 : Epoch  8, Batch   1657, Loss  0.852490, Average Loss  0.864570, Time  0.359441
2021-09-10 02:19:31.176734 : Epoch  8, Batch    678, Loss  0.545093, Average Loss  0.538130, Time  0.258237
2021-09-10 02:19:32.461243 : Epoch  8, Batch   1658, Loss  0.863481, Average Loss  0.864464, Time  0.454418
2021-09-10 02:19:33.042908 : Epoch  8, Batch    679, Loss  0.543692, Average Loss  0.538180, Time  0.261777
2021-09-10 02:19:34.366450 : Epoch  8, Batch   1659, Loss  0.898223, Average Loss  0.864604, Time  0.459369
2021-09-10 02:19:34.910075 : Epoch  8, Batch    680, Loss  0.536509, Average Loss  0.538126, Time  0.258260
2021-09-10 02:19:36.157242 : Epoch  8, Batch   1660, Loss  0.868909, Average Loss  0.864770, Time  0.366704
2021-09-10 02:19:36.839901 : Epoch  8, Batch    681, Loss  0.544235, Average Loss  0.538163, Time  0.262362
2021-09-10 02:19:37.961986 : Epoch  8, Batch   1661, Loss  0.884331, Average Loss  0.864876, Time  0.362025
2021-09-10 02:19:38.736837 : Epoch  8, Batch    682, Loss  0.549114, Average Loss  0.538110, Time  0.266063
2021-09-10 02:19:39.791780 : Epoch  8, Batch   1662, Loss  0.871877, Average Loss  0.864898, Time  0.410452
2021-09-10 02:19:40.631966 : Epoch  8, Batch    683, Loss  0.529881, Average Loss  0.538052, Time  0.266756
2021-09-10 02:19:41.692766 : Epoch  8, Batch   1663, Loss  0.886237, Average Loss  0.864951, Time  0.471859
2021-09-10 02:19:42.515924 : Epoch  8, Batch    684, Loss  0.544430, Average Loss  0.538120, Time  0.258459
2021-09-10 02:19:43.488362 : Epoch  8, Batch   1664, Loss  0.885018, Average Loss  0.864934, Time  0.375482
2021-09-10 02:19:44.401961 : Epoch  8, Batch    685, Loss  0.532445, Average Loss  0.538092, Time  0.260591
2021-09-10 02:19:45.305795 : Epoch  8, Batch   1665, Loss  0.869922, Average Loss  0.864889, Time  0.378684
2021-09-10 02:19:46.293082 : Epoch  8, Batch    686, Loss  0.543233, Average Loss  0.538118, Time  0.264652
2021-09-10 02:19:47.108930 : Epoch  8, Batch   1666, Loss  0.880454, Average Loss  0.864931, Time  0.363799
2021-09-10 02:19:48.212084 : Epoch  8, Batch    687, Loss  0.554751, Average Loss  0.538157, Time  0.267783
2021-09-10 02:19:48.999785 : Epoch  8, Batch   1667, Loss  0.843659, Average Loss  0.864930, Time  0.450858
2021-09-10 02:19:50.112101 : Epoch  8, Batch    688, Loss  0.533352, Average Loss  0.538105, Time  0.266215
2021-09-10 02:19:50.903038 : Epoch  8, Batch   1668, Loss  0.877971, Average Loss  0.864974, Time  0.466551
2021-09-10 02:19:52.004783 : Epoch  8, Batch    689, Loss  0.536302, Average Loss  0.538085, Time  0.258110
2021-09-10 02:19:52.679782 : Epoch  8, Batch   1669, Loss  0.832656, Average Loss  0.864963, Time  0.355808
2021-09-10 02:19:53.894865 : Epoch  8, Batch    690, Loss  0.530509, Average Loss  0.538055, Time  0.258611
2021-09-10 02:19:54.498776 : Epoch  8, Batch   1670, Loss  0.864594, Average Loss  0.864976, Time  0.358221
2021-09-10 02:19:55.796814 : Epoch  8, Batch    691, Loss  0.532934, Average Loss  0.538045, Time  0.261457
2021-09-10 02:19:56.293877 : Epoch  8, Batch   1671, Loss  0.823631, Average Loss  0.864850, Time  0.363631
2021-09-10 02:19:58.200772 : Epoch  8, Batch   1672, Loss  0.871285, Average Loss  0.864806, Time  0.450305
2021-09-10 02:20:00.008785 : Epoch  8, Batch   1673, Loss  0.830300, Average Loss  0.864659, Time  0.372844
2021-09-10 02:20:01.824088 : Epoch  8, Batch   1674, Loss  0.862026, Average Loss  0.864614, Time  0.357431
2021-09-10 02:20:03.618182 : Epoch  8, Batch   1675, Loss  0.877482, Average Loss  0.864647, Time  0.356250
2021-09-10 02:20:05.550787 : Epoch  8, Batch   1676, Loss  0.856932, Average Loss  0.864546, Time  0.460888
2021-09-10 02:20:07.442793 : Epoch  8, Batch   1677, Loss  0.881731, Average Loss  0.864580, Time  0.457069
2021-09-10 02:20:09.216080 : Epoch  8, Batch   1678, Loss  0.861526, Average Loss  0.864509, Time  0.343013
2021-09-10 02:20:11.023782 : Epoch  8, Batch   1679, Loss  0.861939, Average Loss  0.864613, Time  0.383312
2021-09-10 02:20:12.808823 : Epoch  8, Batch   1680, Loss  0.869561, Average Loss  0.864652, Time  0.361738
2021-09-10 02:20:14.683182 : Epoch  8, Batch   1681, Loss  0.870861, Average Loss  0.864684, Time  0.464643
2021-09-10 02:20:16.532766 : Epoch  8, Batch   1682, Loss  0.889150, Average Loss  0.864815, Time  0.414828
2021-09-10 02:20:18.295684 : Epoch  8, Batch   1683, Loss  0.857996, Average Loss  0.864800, Time  0.360510
2021-09-10 02:20:20.078777 : Epoch  8, Batch   1684, Loss  0.840112, Average Loss  0.864679, Time  0.364325
2021-09-10 02:20:21.988786 : Epoch  8, Batch   1685, Loss  0.871236, Average Loss  0.864696, Time  0.438699
2021-09-10 02:20:23.915270 : Epoch  8, Batch   1686, Loss  0.867824, Average Loss  0.864698, Time  0.459825
2021-09-10 02:20:25.818785 : Epoch  8, Batch   1687, Loss  0.879343, Average Loss  0.864791, Time  0.444012
2021-09-10 02:20:27.616776 : Epoch  8, Batch   1688, Loss  0.879848, Average Loss  0.864877, Time  0.361857
2021-09-10 02:20:29.418767 : Epoch  8, Batch   1689, Loss  0.865373, Average Loss  0.864766, Time  0.357287
2021-09-10 02:20:31.270776 : Epoch  8, Batch   1690, Loss  0.852920, Average Loss  0.864571, Time  0.410203
2021-09-10 02:20:33.197785 : Epoch  8, Batch   1691, Loss  0.892530, Average Loss  0.864732, Time  0.456698
2021-09-10 02:20:35.049781 : Epoch  8, Batch   1692, Loss  0.852026, Average Loss  0.864489, Time  0.410295
2021-09-10 02:20:36.861792 : Epoch  8, Batch   1693, Loss  0.849777, Average Loss  0.864333, Time  0.358454
2021-09-10 02:20:38.686814 : Epoch  8, Batch   1694, Loss  0.864596, Average Loss  0.864324, Time  0.358269
2021-09-10 02:20:40.580775 : Epoch  8, Batch   1695, Loss  0.894277, Average Loss  0.864586, Time  0.415022
2021-09-10 02:20:42.499859 : Epoch  8, Batch   1696, Loss  0.852299, Average Loss  0.864524, Time  0.453097
2021-09-10 02:20:44.416785 : Epoch  8, Batch   1697, Loss  0.883389, Average Loss  0.864654, Time  0.427824
2021-09-10 02:20:46.271783 : Epoch  8, Batch   1698, Loss  0.857912, Average Loss  0.864543, Time  0.359320
2021-09-10 02:20:48.065796 : Epoch  8, Batch   1699, Loss  0.882229, Average Loss  0.864718, Time  0.356730
2021-09-10 02:20:49.922814 : Epoch  8, Batch   1700, Loss  0.843166, Average Loss  0.864652, Time  0.399048
2021-09-10 02:20:51.849943 : Epoch  8, Batch   1701, Loss  0.871452, Average Loss  0.864798, Time  0.450614
2021-09-10 02:20:53.840189 : Epoch  8, Batch   1702, Loss  0.844621, Average Loss  0.864600, Time  0.516561
2021-09-10 02:20:55.670793 : Epoch  8, Batch   1703, Loss  0.880988, Average Loss  0.864745, Time  0.371520
2021-09-10 02:20:57.484937 : Epoch  8, Batch   1704, Loss  0.872186, Average Loss  0.864523, Time  0.356010
2021-09-10 02:20:59.315777 : Epoch  8, Batch   1705, Loss  0.870936, Average Loss  0.864480, Time  0.381887
2021-09-10 02:21:01.188981 : Epoch  8, Batch   1706, Loss  0.851087, Average Loss  0.864198, Time  0.463117
2021-09-10 02:21:02.970786 : Epoch  8, Batch   1707, Loss  0.884082, Average Loss  0.864234, Time  0.359476
2021-09-10 02:21:04.779784 : Epoch  8, Batch   1708, Loss  0.891279, Average Loss  0.864229, Time  0.360354
2021-09-10 02:21:06.097741 : CheckPoint: Validation Loss  0.00021750, Best Loss  0.00021723
2021-09-10 02:21:06.591770 : Epoch  8, Batch   1709, Loss  0.850517, Average Loss  0.863982, Time  0.364204
2021-09-10 02:21:08.016866 : Epoch  8, Batch    692, Loss  0.546742, Average Loss  0.538032, Time  0.279758
2021-09-10 02:21:08.503776 : Epoch  8, Batch   1710, Loss  0.870135, Average Loss  0.864066, Time  0.452482
2021-09-10 02:21:09.920765 : Epoch  8, Batch    693, Loss  0.539252, Average Loss  0.538012, Time  0.261372
2021-09-10 02:21:10.373767 : Epoch  8, Batch   1711, Loss  0.835190, Average Loss  0.863920, Time  0.426440
2021-09-10 02:21:11.827760 : Epoch  8, Batch    694, Loss  0.526402, Average Loss  0.537934, Time  0.258658
2021-09-10 02:21:12.196841 : Epoch  8, Batch   1712, Loss  0.892639, Average Loss  0.864162, Time  0.358581
2021-09-10 02:21:13.701153 : Epoch  8, Batch    695, Loss  0.544846, Average Loss  0.537883, Time  0.266656
2021-09-10 02:21:13.990770 : Epoch  8, Batch   1713, Loss  0.877451, Average Loss  0.864377, Time  0.356864
2021-09-10 02:21:15.618939 : Epoch  8, Batch    696, Loss  0.547646, Average Loss  0.537866, Time  0.261128
2021-09-10 02:21:15.834775 : Epoch  8, Batch   1714, Loss  0.858312, Average Loss  0.864084, Time  0.409400
2021-09-10 02:21:17.521894 : Epoch  8, Batch    697, Loss  0.542711, Average Loss  0.537903, Time  0.260877
2021-09-10 02:21:17.704764 : Epoch  8, Batch   1715, Loss  0.931830, Average Loss  0.864409, Time  0.454581
2021-09-10 02:21:19.397861 : Epoch  8, Batch    698, Loss  0.525280, Average Loss  0.537854, Time  0.258182
2021-09-10 02:21:19.478383 : Epoch  8, Batch   1716, Loss  0.808062, Average Loss  0.864010, Time  0.357097
2021-09-10 02:21:21.234836 : Epoch  8, Batch   1717, Loss  0.853225, Average Loss  0.863871, Time  0.358366
2021-09-10 02:21:21.270545 : Epoch  8, Batch    699, Loss  0.554278, Average Loss  0.537896, Time  0.261945
2021-09-10 02:21:23.095141 : Epoch  8, Batch   1718, Loss  0.884450, Average Loss  0.864050, Time  0.395956
2021-09-10 02:21:23.134816 : Epoch  8, Batch    700, Loss  0.534364, Average Loss  0.537870, Time  0.259866
2021-09-10 02:21:24.956834 : Epoch  8, Batch   1719, Loss  0.892549, Average Loss  0.864106, Time  0.455098
2021-09-10 02:21:25.031090 : Epoch  8, Batch    701, Loss  0.521476, Average Loss  0.537829, Time  0.272675
2021-09-10 02:21:26.759784 : Epoch  8, Batch   1720, Loss  0.880532, Average Loss  0.864103, Time  0.363084
2021-09-10 02:21:26.944814 : Epoch  8, Batch    702, Loss  0.534824, Average Loss  0.537795, Time  0.264751
2021-09-10 02:21:28.561770 : Epoch  8, Batch   1721, Loss  0.864487, Average Loss  0.864151, Time  0.365968
2021-09-10 02:21:28.845072 : Epoch  8, Batch    703, Loss  0.524809, Average Loss  0.537742, Time  0.261836
2021-09-10 02:21:30.347778 : Epoch  8, Batch   1722, Loss  0.848637, Average Loss  0.864104, Time  0.362466
2021-09-10 02:21:30.747790 : Epoch  8, Batch    704, Loss  0.543808, Average Loss  0.537823, Time  0.258946
2021-09-10 02:21:32.234780 : Epoch  8, Batch   1723, Loss  0.822297, Average Loss  0.863980, Time  0.454035
2021-09-10 02:21:32.652560 : Epoch  8, Batch    705, Loss  0.522949, Average Loss  0.537741, Time  0.264357
2021-09-10 02:21:34.570486 : Epoch  8, Batch    706, Loss  0.536907, Average Loss  0.537722, Time  0.261558
2021-09-10 02:21:36.505499 : Epoch  8, Batch    707, Loss  0.531060, Average Loss  0.537705, Time  0.267864
2021-09-10 02:21:38.413807 : Epoch  8, Batch    708, Loss  0.528565, Average Loss  0.537706, Time  0.258496
2021-09-10 02:21:40.314863 : Epoch  8, Batch    709, Loss  0.528702, Average Loss  0.537654, Time  0.260962
2021-09-10 02:21:42.211782 : Epoch  8, Batch    710, Loss  0.529990, Average Loss  0.537679, Time  0.263151
2021-09-10 02:21:44.115083 : Epoch  8, Batch    711, Loss  0.524744, Average Loss  0.537584, Time  0.260302
2021-09-10 02:21:46.038868 : Epoch  8, Batch    712, Loss  0.554957, Average Loss  0.537615, Time  0.274750
2021-09-10 02:21:48.003195 : Epoch  8, Batch    713, Loss  0.534536, Average Loss  0.537571, Time  0.261460
2021-09-10 02:21:49.915774 : Epoch  8, Batch    714, Loss  0.532191, Average Loss  0.537523, Time  0.261301
2021-09-10 02:21:51.829095 : Epoch  8, Batch    715, Loss  0.543060, Average Loss  0.537596, Time  0.267176
2021-09-10 02:21:53.705845 : Epoch  8, Batch    716, Loss  0.540238, Average Loss  0.537663, Time  0.259515
2021-09-10 02:21:55.600790 : Epoch  8, Batch    717, Loss  0.540511, Average Loss  0.537691, Time  0.261254
2021-09-10 02:21:57.505799 : Epoch  8, Batch    718, Loss  0.539373, Average Loss  0.537703, Time  0.262121
2021-09-10 02:21:59.416882 : Epoch  8, Batch    719, Loss  0.539079, Average Loss  0.537686, Time  0.265630
2021-09-10 02:22:01.315848 : Epoch  8, Batch    720, Loss  0.539647, Average Loss  0.537764, Time  0.258288
2021-09-10 02:22:03.221881 : Epoch  8, Batch    721, Loss  0.540335, Average Loss  0.537770, Time  0.264716
2021-09-10 02:22:05.131861 : Epoch  8, Batch    722, Loss  0.534905, Average Loss  0.537766, Time  0.265357
2021-09-10 02:22:07.055766 : Epoch  8, Batch    723, Loss  0.522780, Average Loss  0.537694, Time  0.259152
2021-09-10 02:22:08.961897 : Epoch  8, Batch    724, Loss  0.521828, Average Loss  0.537599, Time  0.272302
2021-09-10 02:22:10.879073 : Epoch  8, Batch    725, Loss  0.523166, Average Loss  0.537552, Time  0.258264
2021-09-10 02:22:12.760845 : Epoch  8, Batch    726, Loss  0.550639, Average Loss  0.537551, Time  0.258619
2021-09-10 02:22:14.652809 : Epoch  8, Batch    727, Loss  0.540267, Average Loss  0.537580, Time  0.264181
2021-09-10 02:22:16.548850 : Epoch  8, Batch    728, Loss  0.536052, Average Loss  0.537539, Time  0.258724
2021-09-10 02:22:18.435774 : Epoch  8, Batch    729, Loss  0.552766, Average Loss  0.537583, Time  0.260510
2021-09-10 02:22:20.360786 : Epoch  8, Batch    730, Loss  0.541304, Average Loss  0.537612, Time  0.278198
2021-09-10 02:22:22.259575 : Epoch  8, Batch    731, Loss  0.551878, Average Loss  0.537590, Time  0.263494
2021-09-10 02:22:24.144676 : Epoch  8, Batch    732, Loss  0.536774, Average Loss  0.537550, Time  0.258458
2021-09-10 02:22:26.055816 : Epoch  8, Batch    733, Loss  0.524931, Average Loss  0.537560, Time  0.258451
2021-09-10 02:22:27.954769 : Epoch  8, Batch    734, Loss  0.538602, Average Loss  0.537606, Time  0.260065
2021-09-10 02:22:29.853782 : Epoch  8, Batch    735, Loss  0.555475, Average Loss  0.537711, Time  0.257932
2021-09-10 02:22:31.755683 : Epoch  8, Batch    736, Loss  0.551456, Average Loss  0.537794, Time  0.262244
2021-09-10 02:22:33.647798 : Epoch  8, Batch    737, Loss  0.537330, Average Loss  0.537792, Time  0.267286
2021-09-10 02:22:35.545764 : Epoch  8, Batch    738, Loss  0.540482, Average Loss  0.537838, Time  0.258997
2021-09-10 02:22:37.463221 : Epoch  8, Batch    739, Loss  0.544112, Average Loss  0.537858, Time  0.266423
2021-09-10 02:22:39.363858 : Epoch  8, Batch    740, Loss  0.537836, Average Loss  0.537889, Time  0.262349
2021-09-10 02:22:41.270882 : Epoch  8, Batch    741, Loss  0.519955, Average Loss  0.537768, Time  0.263051
2021-09-10 02:22:43.175932 : Epoch  8, Batch    742, Loss  0.529903, Average Loss  0.537801, Time  0.259035
2021-09-10 02:22:45.076775 : Epoch  8, Batch    743, Loss  0.525505, Average Loss  0.537784, Time  0.258423
2021-09-10 02:22:47.023154 : Epoch  8, Batch    744, Loss  0.541211, Average Loss  0.537826, Time  0.264021
2021-09-10 02:22:48.942859 : Epoch  8, Batch    745, Loss  0.536019, Average Loss  0.537849, Time  0.258016
2021-09-10 02:22:50.845799 : Epoch  8, Batch    746, Loss  0.537420, Average Loss  0.537833, Time  0.260754
2021-09-10 02:22:52.729973 : Epoch  8, Batch    747, Loss  0.536463, Average Loss  0.537831, Time  0.261846
2021-09-10 02:22:54.631940 : Epoch  8, Batch    748, Loss  0.528735, Average Loss  0.537787, Time  0.262153
2021-09-10 02:22:56.520895 : Epoch  8, Batch    749, Loss  0.531496, Average Loss  0.537738, Time  0.258039
2021-09-10 02:22:58.426834 : Epoch  8, Batch    750, Loss  0.537852, Average Loss  0.537745, Time  0.258157
2021-09-10 02:23:00.344076 : Epoch  8, Batch    751, Loss  0.533469, Average Loss  0.537709, Time  0.258715
2021-09-10 02:23:02.256097 : Epoch  8, Batch    752, Loss  0.538892, Average Loss  0.537667, Time  0.258499
2021-09-10 02:23:04.133091 : Epoch  8, Batch    753, Loss  0.547827, Average Loss  0.537698, Time  0.261853
2021-09-10 02:23:06.021758 : Epoch  8, Batch    754, Loss  0.523594, Average Loss  0.537575, Time  0.258789
2021-09-10 02:23:07.913807 : Epoch  8, Batch    755, Loss  0.526551, Average Loss  0.537461, Time  0.258738
2021-09-10 02:23:09.820814 : Epoch  8, Batch    756, Loss  0.530673, Average Loss  0.537419, Time  0.267463
2021-09-10 02:23:11.706081 : Epoch  8, Batch    757, Loss  0.540808, Average Loss  0.537389, Time  0.258943
2021-09-10 02:23:13.588838 : Epoch  8, Batch    758, Loss  0.536078, Average Loss  0.537387, Time  0.261298
2021-09-10 02:23:15.498879 : Epoch  8, Batch    759, Loss  0.537721, Average Loss  0.537413, Time  0.265070
2021-09-10 02:23:17.388828 : Epoch  8, Batch    760, Loss  0.542497, Average Loss  0.537456, Time  0.273942
2021-09-10 02:23:19.265081 : Epoch  8, Batch    761, Loss  0.538184, Average Loss  0.537510, Time  0.258257
2021-09-10 02:23:23.248835 : Epoch  8, Batch    762, Loss  0.541709, Average Loss  0.537546, Time  0.280087
2021-09-10 02:23:25.140091 : Epoch  8, Batch    763, Loss  0.525849, Average Loss  0.537521, Time  0.258845
2021-09-10 02:23:27.059091 : Epoch  8, Batch    764, Loss  0.547605, Average Loss  0.537531, Time  0.259782
2021-09-10 02:23:28.920948 : Epoch  8, Batch    765, Loss  0.532479, Average Loss  0.537507, Time  0.258496
2021-09-10 02:23:30.801867 : Epoch  8, Batch    766, Loss  0.535049, Average Loss  0.537421, Time  0.259018
2021-09-10 02:23:32.681962 : Epoch  8, Batch    767, Loss  0.531375, Average Loss  0.537397, Time  0.258108
2021-09-10 02:23:34.561788 : Epoch  8, Batch    768, Loss  0.528289, Average Loss  0.537347, Time  0.258161
2021-09-10 02:23:36.461120 : Epoch  8, Batch    769, Loss  0.527276, Average Loss  0.537260, Time  0.269310
2021-09-10 02:23:38.360192 : Epoch  8, Batch    770, Loss  0.524578, Average Loss  0.537231, Time  0.268411
2021-09-10 02:23:40.273096 : Epoch  8, Batch    771, Loss  0.544648, Average Loss  0.537255, Time  0.262189
2021-09-10 02:23:42.171838 : Epoch  8, Batch    772, Loss  0.564108, Average Loss  0.537414, Time  0.261391
2021-09-10 02:23:44.056876 : Epoch  8, Batch    773, Loss  0.542548, Average Loss  0.537438, Time  0.258215
2021-09-10 02:23:45.954819 : Epoch  8, Batch    774, Loss  0.538725, Average Loss  0.537472, Time  0.262918
2021-09-10 02:23:47.874093 : Epoch  8, Batch    775, Loss  0.533864, Average Loss  0.537474, Time  0.263673
2021-09-10 02:23:49.800826 : Epoch  8, Batch    776, Loss  0.543166, Average Loss  0.537504, Time  0.273294
2021-09-10 02:23:51.708114 : Epoch  8, Batch    777, Loss  0.531507, Average Loss  0.537520, Time  0.271694
2021-09-10 02:23:53.597797 : Epoch  8, Batch    778, Loss  0.538844, Average Loss  0.537533, Time  0.258125
2021-09-10 02:23:55.500131 : Epoch  8, Batch    779, Loss  0.546416, Average Loss  0.537571, Time  0.265484
2021-09-10 02:23:57.383546 : Epoch  8, Batch    780, Loss  0.545567, Average Loss  0.537625, Time  0.258231
2021-09-10 02:23:59.260097 : Epoch  8, Batch    781, Loss  0.534958, Average Loss  0.537622, Time  0.261825
2021-09-10 02:24:01.161770 : Epoch  8, Batch    782, Loss  0.533358, Average Loss  0.537568, Time  0.261358
2021-09-10 02:24:03.043102 : Epoch  8, Batch    783, Loss  0.532867, Average Loss  0.537510, Time  0.261705
2021-09-10 02:24:04.945773 : Epoch  8, Batch    784, Loss  0.546572, Average Loss  0.537594, Time  0.261329
2021-09-10 02:24:06.858086 : Epoch  8, Batch    785, Loss  0.541659, Average Loss  0.537647, Time  0.258756
2021-09-10 02:24:08.760866 : Epoch  8, Batch    786, Loss  0.530180, Average Loss  0.537574, Time  0.262490
2021-09-10 02:24:10.658921 : Epoch  8, Batch    787, Loss  0.525833, Average Loss  0.537530, Time  0.266722
2021-09-10 02:24:10.709626 : Saving Model after 8-th Epoch.
2021-09-10 02:24:11.750677 : Epoch Finished.
2021-09-10 02:24:13.907679 : Batch Shuffled
2021-09-10 02:24:15.843835 : Epoch  9, Batch      1, Loss  0.551150, Average Loss  0.537555, Time  0.270986
2021-09-10 02:24:17.760884 : Epoch  9, Batch      2, Loss  0.542033, Average Loss  0.537587, Time  0.258894
2021-09-10 02:24:19.675755 : Epoch  9, Batch      3, Loss  0.542188, Average Loss  0.537560, Time  0.257979
2021-09-10 02:24:21.586072 : Epoch  9, Batch      4, Loss  0.538226, Average Loss  0.537552, Time  0.257956
2021-09-10 02:25:31.165740 : CheckPoint: Validation Loss  0.00022595, Best Loss  0.00021723
2021-09-10 02:25:33.075808 : Epoch  9, Batch      5, Loss  0.520870, Average Loss  0.537449, Time  0.267588
2021-09-10 02:25:34.988871 : Epoch  9, Batch      6, Loss  0.543427, Average Loss  0.537560, Time  0.257957
2021-09-10 02:25:36.894837 : Epoch  9, Batch      7, Loss  0.539760, Average Loss  0.537555, Time  0.257782
2021-09-10 02:25:38.802097 : Epoch  9, Batch      8, Loss  0.528203, Average Loss  0.537523, Time  0.258625
2021-09-10 02:25:40.714062 : Epoch  9, Batch      9, Loss  0.535596, Average Loss  0.537479, Time  0.258239
2021-09-10 02:25:42.632839 : Epoch  9, Batch     10, Loss  0.547625, Average Loss  0.537508, Time  0.261500
2021-09-10 02:25:44.522915 : Epoch  9, Batch     11, Loss  0.545736, Average Loss  0.537454, Time  0.258170
2021-09-10 02:25:46.419062 : Epoch  9, Batch     12, Loss  0.548531, Average Loss  0.537531, Time  0.258075
2021-09-10 02:25:48.332812 : Epoch  9, Batch     13, Loss  0.538736, Average Loss  0.537522, Time  0.261865
2021-09-10 02:25:50.202083 : Epoch  9, Batch     14, Loss  0.534823, Average Loss  0.537478, Time  0.258572
2021-09-10 02:25:52.099782 : Epoch  9, Batch     15, Loss  0.537994, Average Loss  0.537520, Time  0.274570
2021-09-10 02:25:53.988813 : Epoch  9, Batch     16, Loss  0.538258, Average Loss  0.537448, Time  0.258418
2021-09-10 02:25:55.880698 : Epoch  9, Batch     17, Loss  0.535297, Average Loss  0.537455, Time  0.262873
2021-09-10 02:25:57.746916 : Epoch  9, Batch     18, Loss  0.534245, Average Loss  0.537485, Time  0.258860
2021-09-10 02:25:59.637766 : Epoch  9, Batch     19, Loss  0.536802, Average Loss  0.537525, Time  0.260108
2021-09-10 02:26:01.516724 : Epoch  9, Batch     20, Loss  0.527647, Average Loss  0.537474, Time  0.262543
2021-09-10 02:26:03.404847 : Epoch  9, Batch     21, Loss  0.528516, Average Loss  0.537370, Time  0.271626
2021-09-10 02:26:05.293833 : Epoch  9, Batch     22, Loss  0.533228, Average Loss  0.537392, Time  0.257993
2021-09-10 02:26:07.195108 : Epoch  9, Batch     23, Loss  0.538371, Average Loss  0.537366, Time  0.263005
2021-09-10 02:26:09.086813 : Epoch  9, Batch     24, Loss  0.542454, Average Loss  0.537384, Time  0.261133
2021-09-10 02:26:10.997824 : Epoch  9, Batch     25, Loss  0.526615, Average Loss  0.537364, Time  0.258027
2021-09-10 02:26:12.899779 : Epoch  9, Batch     26, Loss  0.542164, Average Loss  0.537411, Time  0.265367
2021-09-10 02:26:14.799869 : Epoch  9, Batch     27, Loss  0.541861, Average Loss  0.537409, Time  0.257908
2021-09-10 02:26:16.687887 : Epoch  9, Batch     28, Loss  0.515132, Average Loss  0.537306, Time  0.262102
2021-09-10 02:26:18.559900 : Epoch  9, Batch     29, Loss  0.533039, Average Loss  0.537183, Time  0.259269
2021-09-10 02:26:20.457813 : Epoch  9, Batch     30, Loss  0.543072, Average Loss  0.537324, Time  0.268399
2021-09-10 02:26:22.351086 : Epoch  9, Batch     31, Loss  0.524184, Average Loss  0.537224, Time  0.264874
2021-09-10 02:26:23.801721 : CheckPoint: Validation Loss  0.00059493, Best Loss  0.00056427
2021-09-10 02:26:24.230945 : Epoch  9, Batch     32, Loss  0.544647, Average Loss  0.537294, Time  0.258304
2021-09-10 02:26:25.648781 : Epoch  8, Batch   1724, Loss  0.861317, Average Loss  0.864002, Time  0.421058
2021-09-10 02:26:26.103087 : Epoch  9, Batch     33, Loss  0.535580, Average Loss  0.537304, Time  0.268258
2021-09-10 02:26:27.506781 : Epoch  8, Batch   1725, Loss  0.864805, Average Loss  0.864157, Time  0.452122
2021-09-10 02:26:27.967852 : Epoch  9, Batch     34, Loss  0.530898, Average Loss  0.537282, Time  0.264849
2021-09-10 02:26:29.302868 : Epoch  8, Batch   1726, Loss  0.847005, Average Loss  0.864121, Time  0.355743
2021-09-10 02:26:29.845077 : Epoch  9, Batch     35, Loss  0.532440, Average Loss  0.537245, Time  0.258353
2021-09-10 02:26:31.109795 : Epoch  8, Batch   1727, Loss  0.825747, Average Loss  0.863957, Time  0.358449
2021-09-10 02:26:31.759879 : Epoch  9, Batch     36, Loss  0.552902, Average Loss  0.537275, Time  0.263745
2021-09-10 02:26:32.925983 : Epoch  8, Batch   1728, Loss  0.863113, Average Loss  0.863897, Time  0.373149
2021-09-10 02:26:33.658837 : Epoch  9, Batch     37, Loss  0.528061, Average Loss  0.537194, Time  0.265096
2021-09-10 02:26:34.843783 : Epoch  8, Batch   1729, Loss  0.889835, Average Loss  0.863906, Time  0.456926
2021-09-10 02:26:35.556883 : Epoch  9, Batch     38, Loss  0.530703, Average Loss  0.537181, Time  0.266375
2021-09-10 02:26:36.736784 : Epoch  8, Batch   1730, Loss  0.855966, Average Loss  0.863885, Time  0.443016
2021-09-10 02:26:37.445103 : Epoch  9, Batch     39, Loss  0.547206, Average Loss  0.537268, Time  0.258468
2021-09-10 02:26:38.539779 : Epoch  8, Batch   1731, Loss  0.844497, Average Loss  0.863758, Time  0.363191
2021-09-10 02:26:39.372093 : Epoch  9, Batch     40, Loss  0.526525, Average Loss  0.537145, Time  0.266289
2021-09-10 02:26:40.306162 : Epoch  8, Batch   1732, Loss  0.848313, Average Loss  0.863573, Time  0.359013
2021-09-10 02:26:41.258806 : Epoch  9, Batch     41, Loss  0.544950, Average Loss  0.537152, Time  0.258085
2021-09-10 02:26:42.161785 : Epoch  8, Batch   1733, Loss  0.898282, Average Loss  0.863865, Time  0.421864
2021-09-10 02:26:43.144086 : Epoch  9, Batch     42, Loss  0.534851, Average Loss  0.537160, Time  0.257924
2021-09-10 02:26:44.038775 : Epoch  8, Batch   1734, Loss  0.858669, Average Loss  0.863869, Time  0.448174
2021-09-10 02:26:45.061945 : Epoch  9, Batch     43, Loss  0.547831, Average Loss  0.537202, Time  0.258274
2021-09-10 02:26:45.819124 : Epoch  8, Batch   1735, Loss  0.882975, Average Loss  0.863855, Time  0.356063
2021-09-10 02:26:46.971930 : Epoch  9, Batch     44, Loss  0.538854, Average Loss  0.537266, Time  0.258403
2021-09-10 02:26:47.592776 : Epoch  8, Batch   1736, Loss  0.835634, Average Loss  0.863568, Time  0.362833
2021-09-10 02:26:48.913101 : Epoch  9, Batch     45, Loss  0.524719, Average Loss  0.537216, Time  0.273122
2021-09-10 02:26:49.425817 : Epoch  8, Batch   1737, Loss  0.860268, Average Loss  0.863549, Time  0.406012
2021-09-10 02:26:50.819884 : Epoch  9, Batch     46, Loss  0.550939, Average Loss  0.537274, Time  0.258420
2021-09-10 02:26:51.321109 : Epoch  8, Batch   1738, Loss  0.872469, Average Loss  0.863646, Time  0.455907
2021-09-10 02:26:52.709098 : Epoch  9, Batch     47, Loss  0.531464, Average Loss  0.537222, Time  0.257787
2021-09-10 02:26:53.135164 : Epoch  8, Batch   1739, Loss  0.896680, Average Loss  0.863722, Time  0.372514
2021-09-10 02:26:54.625160 : Epoch  9, Batch     48, Loss  0.542713, Average Loss  0.537309, Time  0.264652
2021-09-10 02:26:54.956883 : Epoch  8, Batch   1740, Loss  0.880537, Average Loss  0.863859, Time  0.363133
2021-09-10 02:26:56.507172 : Epoch  9, Batch     49, Loss  0.551339, Average Loss  0.537418, Time  0.258197
2021-09-10 02:26:56.762770 : Epoch  8, Batch   1741, Loss  0.881818, Average Loss  0.863882, Time  0.359716
2021-09-10 02:26:58.367148 : Epoch  9, Batch     50, Loss  0.536519, Average Loss  0.537409, Time  0.258427
2021-09-10 02:26:58.621112 : Epoch  8, Batch   1742, Loss  0.908115, Average Loss  0.864088, Time  0.444955
2021-09-10 02:27:00.248107 : Epoch  9, Batch     51, Loss  0.531837, Average Loss  0.537401, Time  0.259105
2021-09-10 02:27:00.529781 : Epoch  8, Batch   1743, Loss  0.870783, Average Loss  0.864139, Time  0.454604
2021-09-10 02:27:02.113362 : Epoch  9, Batch     52, Loss  0.548986, Average Loss  0.537432, Time  0.258410
2021-09-10 02:27:02.333875 : Epoch  8, Batch   1744, Loss  0.849923, Average Loss  0.863973, Time  0.349600
2021-09-10 02:27:03.988486 : Epoch  9, Batch     53, Loss  0.527972, Average Loss  0.537404, Time  0.258494
2021-09-10 02:27:04.133765 : Epoch  8, Batch   1745, Loss  0.916488, Average Loss  0.864247, Time  0.356883
2021-09-10 02:27:05.870789 : Epoch  9, Batch     54, Loss  0.526926, Average Loss  0.537299, Time  0.259092
2021-09-10 02:27:05.948167 : Epoch  8, Batch   1746, Loss  0.841471, Average Loss  0.864181, Time  0.356445
2021-09-10 02:27:07.762111 : Epoch  9, Batch     55, Loss  0.549558, Average Loss  0.537346, Time  0.258308
2021-09-10 02:27:07.832791 : Epoch  8, Batch   1747, Loss  0.872840, Average Loss  0.864090, Time  0.457103
2021-09-10 02:27:09.637829 : Epoch  9, Batch     56, Loss  0.534672, Average Loss  0.537274, Time  0.261817
2021-09-10 02:27:09.710782 : Epoch  8, Batch   1748, Loss  0.866702, Average Loss  0.864211, Time  0.442593
2021-09-10 02:27:11.508782 : Epoch  8, Batch   1749, Loss  0.850772, Average Loss  0.864164, Time  0.363855
2021-09-10 02:27:11.560908 : Epoch  9, Batch     57, Loss  0.536795, Average Loss  0.537317, Time  0.263387
2021-09-10 02:27:13.314026 : Epoch  8, Batch   1750, Loss  0.876534, Average Loss  0.864322, Time  0.368014
2021-09-10 02:27:13.427098 : Epoch  9, Batch     58, Loss  0.521916, Average Loss  0.537297, Time  0.258752
2021-09-10 02:27:15.182518 : Epoch  8, Batch   1751, Loss  0.857029, Average Loss  0.864341, Time  0.397447
2021-09-10 02:27:15.363914 : Epoch  9, Batch     59, Loss  0.549138, Average Loss  0.537342, Time  0.314002
2021-09-10 02:27:17.143154 : Epoch  8, Batch   1752, Loss  0.894118, Average Loss  0.864586, Time  0.451952
2021-09-10 02:27:17.284993 : Epoch  9, Batch     60, Loss  0.533617, Average Loss  0.537306, Time  0.282705
2021-09-10 02:27:19.059329 : Epoch  8, Batch   1753, Loss  0.880879, Average Loss  0.864832, Time  0.446025
2021-09-10 02:27:19.199787 : Epoch  9, Batch     61, Loss  0.532378, Average Loss  0.537222, Time  0.259187
2021-09-10 02:27:20.874802 : Epoch  8, Batch   1754, Loss  0.821689, Average Loss  0.864684, Time  0.358614
2021-09-10 02:27:21.115880 : Epoch  9, Batch     62, Loss  0.533427, Average Loss  0.537189, Time  0.258006
2021-09-10 02:27:22.685788 : Epoch  8, Batch   1755, Loss  0.882867, Average Loss  0.864861, Time  0.357314
2021-09-10 02:27:23.039049 : Epoch  9, Batch     63, Loss  0.541370, Average Loss  0.537261, Time  0.258114
2021-09-10 02:27:24.526783 : Epoch  8, Batch   1756, Loss  0.875093, Average Loss  0.864723, Time  0.380846
2021-09-10 02:27:24.947765 : Epoch  9, Batch     64, Loss  0.533697, Average Loss  0.537143, Time  0.258049
2021-09-10 02:27:26.435970 : Epoch  8, Batch   1757, Loss  0.832872, Average Loss  0.864571, Time  0.451463
2021-09-10 02:27:26.850768 : Epoch  9, Batch     65, Loss  0.550651, Average Loss  0.537236, Time  0.258008
2021-09-10 02:27:28.302785 : Epoch  8, Batch   1758, Loss  0.889905, Average Loss  0.864670, Time  0.409498
2021-09-10 02:27:28.768963 : Epoch  9, Batch     66, Loss  0.532286, Average Loss  0.537312, Time  0.258698
2021-09-10 02:27:30.123792 : Epoch  8, Batch   1759, Loss  0.868251, Average Loss  0.864774, Time  0.357303
2021-09-10 02:27:30.692066 : Epoch  9, Batch     67, Loss  0.540404, Average Loss  0.537373, Time  0.258352
2021-09-10 02:27:31.981781 : Epoch  8, Batch   1760, Loss  0.894335, Average Loss  0.864887, Time  0.358082
2021-09-10 02:27:32.613788 : Epoch  9, Batch     68, Loss  0.531390, Average Loss  0.537326, Time  0.260055
2021-09-10 02:27:33.829766 : Epoch  8, Batch   1761, Loss  0.866459, Average Loss  0.865075, Time  0.400568
2021-09-10 02:27:34.518088 : Epoch  9, Batch     69, Loss  0.542621, Average Loss  0.537271, Time  0.258321
2021-09-10 02:27:35.723766 : Epoch  8, Batch   1762, Loss  0.865178, Average Loss  0.865183, Time  0.449445
2021-09-10 02:27:36.428065 : Epoch  9, Batch     70, Loss  0.545075, Average Loss  0.537329, Time  0.258217
2021-09-10 02:27:37.503768 : Epoch  8, Batch   1763, Loss  0.883894, Average Loss  0.865102, Time  0.350520
2021-09-10 02:27:38.325791 : Epoch  9, Batch     71, Loss  0.542842, Average Loss  0.537323, Time  0.258147
2021-09-10 02:27:39.306788 : Epoch  8, Batch   1764, Loss  0.872559, Average Loss  0.865070, Time  0.361091
2021-09-10 02:27:40.223909 : Epoch  9, Batch     72, Loss  0.550340, Average Loss  0.537345, Time  0.258293
2021-09-10 02:27:41.105852 : Epoch  8, Batch   1765, Loss  0.916447, Average Loss  0.865318, Time  0.358729
2021-09-10 02:27:42.115115 : Epoch  9, Batch     73, Loss  0.540549, Average Loss  0.537364, Time  0.258115
2021-09-10 02:27:43.035768 : Epoch  8, Batch   1766, Loss  0.871724, Average Loss  0.865361, Time  0.453818
2021-09-10 02:27:44.032131 : Epoch  9, Batch     74, Loss  0.534690, Average Loss  0.537335, Time  0.257879
2021-09-10 02:27:44.926967 : Epoch  8, Batch   1767, Loss  0.864738, Average Loss  0.865312, Time  0.434668
2021-09-10 02:27:46.717171 : Epoch  8, Batch   1768, Loss  0.866473, Average Loss  0.865387, Time  0.358756
2021-09-10 02:27:47.989101 : Epoch  9, Batch     75, Loss  0.534789, Average Loss  0.537296, Time  0.270972
2021-09-10 02:27:48.489768 : Epoch  8, Batch   1769, Loss  0.875587, Average Loss  0.865394, Time  0.358042
2021-09-10 02:27:49.856070 : Epoch  9, Batch     76, Loss  0.539859, Average Loss  0.537313, Time  0.261536
2021-09-10 02:27:50.322236 : Epoch  8, Batch   1770, Loss  0.856579, Average Loss  0.865451, Time  0.422226
2021-09-10 02:27:51.744859 : Epoch  9, Batch     77, Loss  0.545767, Average Loss  0.537344, Time  0.258940
2021-09-10 02:27:52.187824 : Epoch  8, Batch   1771, Loss  0.875772, Average Loss  0.865502, Time  0.452846
2021-09-10 02:27:53.615128 : Epoch  9, Batch     78, Loss  0.541357, Average Loss  0.537347, Time  0.261405
2021-09-10 02:27:53.954769 : Epoch  8, Batch   1772, Loss  0.891957, Average Loss  0.865639, Time  0.356911
2021-09-10 02:27:55.493787 : Epoch  9, Batch     79, Loss  0.542993, Average Loss  0.537336, Time  0.258454
2021-09-10 02:27:55.723766 : Epoch  8, Batch   1773, Loss  0.867276, Average Loss  0.865832, Time  0.357100
2021-09-10 02:27:57.373993 : Epoch  9, Batch     80, Loss  0.542813, Average Loss  0.537352, Time  0.258894
2021-09-10 02:27:57.538102 : Epoch  8, Batch   1774, Loss  0.878586, Average Loss  0.865807, Time  0.385630
2021-09-10 02:27:59.257882 : Epoch  9, Batch     81, Loss  0.544141, Average Loss  0.537414, Time  0.257913
2021-09-10 02:27:59.510772 : Epoch  8, Batch   1775, Loss  0.845557, Average Loss  0.865660, Time  0.525815
2021-09-10 02:28:01.193082 : Epoch  9, Batch     82, Loss  0.535367, Average Loss  0.537464, Time  0.258169
2021-09-10 02:28:01.415919 : Epoch  8, Batch   1776, Loss  0.865509, Average Loss  0.865806, Time  0.452286
2021-09-10 02:28:03.079077 : Epoch  9, Batch     83, Loss  0.528898, Average Loss  0.537443, Time  0.258343
2021-09-10 02:28:03.187977 : Epoch  8, Batch   1777, Loss  0.895278, Average Loss  0.865977, Time  0.366476
2021-09-10 02:28:04.966776 : Epoch  8, Batch   1778, Loss  0.880707, Average Loss  0.866123, Time  0.368953
2021-09-10 02:28:05.012966 : Epoch  9, Batch     84, Loss  0.530993, Average Loss  0.537387, Time  0.258040
2021-09-10 02:28:06.789052 : Epoch  8, Batch   1779, Loss  0.885454, Average Loss  0.866317, Time  0.412832
2021-09-10 02:28:06.912796 : Epoch  9, Batch     85, Loss  0.527865, Average Loss  0.537361, Time  0.257879
2021-09-10 02:28:08.681621 : Epoch  8, Batch   1780, Loss  0.864734, Average Loss  0.866356, Time  0.464181
2021-09-10 02:28:08.814835 : Epoch  9, Batch     86, Loss  0.530218, Average Loss  0.537412, Time  0.258064
2021-09-10 02:28:10.488790 : Epoch  8, Batch   1781, Loss  0.872719, Average Loss  0.866317, Time  0.353883
2021-09-10 02:28:10.708814 : Epoch  9, Batch     87, Loss  0.541160, Average Loss  0.537391, Time  0.258236
2021-09-10 02:28:12.308915 : Epoch  8, Batch   1782, Loss  0.848121, Average Loss  0.866214, Time  0.365091
2021-09-10 02:28:12.617069 : Epoch  9, Batch     88, Loss  0.552074, Average Loss  0.537468, Time  0.258082
2021-09-10 02:28:14.113553 : Epoch  8, Batch   1783, Loss  0.861564, Average Loss  0.866274, Time  0.366293
2021-09-10 02:28:14.517984 : Epoch  9, Batch     89, Loss  0.529674, Average Loss  0.537403, Time  0.257814
2021-09-10 02:28:15.986782 : Epoch  8, Batch   1784, Loss  0.872735, Average Loss  0.866235, Time  0.462732
2021-09-10 02:28:16.424965 : Epoch  9, Batch     90, Loss  0.528827, Average Loss  0.537305, Time  0.258086
2021-09-10 02:28:17.869115 : Epoch  8, Batch   1785, Loss  0.849285, Average Loss  0.866211, Time  0.467197
2021-09-10 02:28:18.329907 : Epoch  9, Batch     91, Loss  0.535878, Average Loss  0.537259, Time  0.260253
2021-09-10 02:28:19.663777 : Epoch  8, Batch   1786, Loss  0.840428, Average Loss  0.866091, Time  0.365523
2021-09-10 02:28:20.229769 : Epoch  9, Batch     92, Loss  0.536105, Average Loss  0.537221, Time  0.258175
2021-09-10 02:28:21.440020 : Epoch  8, Batch   1787, Loss  0.872306, Average Loss  0.866075, Time  0.358912
2021-09-10 02:28:22.132060 : Epoch  9, Batch     93, Loss  0.533991, Average Loss  0.537209, Time  0.257792
2021-09-10 02:28:23.277188 : Epoch  8, Batch   1788, Loss  0.889333, Average Loss  0.866109, Time  0.400082
2021-09-10 02:28:24.055073 : Epoch  9, Batch     94, Loss  0.547445, Average Loss  0.537225, Time  0.258183
2021-09-10 02:28:25.171784 : Epoch  8, Batch   1789, Loss  0.877005, Average Loss  0.866190, Time  0.452002
2021-09-10 02:28:25.959124 : Epoch  9, Batch     95, Loss  0.540784, Average Loss  0.537183, Time  0.266174
2021-09-10 02:28:26.950787 : Epoch  8, Batch   1790, Loss  0.874420, Average Loss  0.866265, Time  0.335622
2021-09-10 02:28:27.877909 : Epoch  9, Batch     96, Loss  0.531429, Average Loss  0.537191, Time  0.258471
2021-09-10 02:28:28.775792 : Epoch  8, Batch   1791, Loss  0.879573, Average Loss  0.866365, Time  0.356761
2021-09-10 02:28:29.783088 : Epoch  9, Batch     97, Loss  0.532435, Average Loss  0.537131, Time  0.258599
2021-09-10 02:28:30.578046 : Epoch  8, Batch   1792, Loss  0.869150, Average Loss  0.866406, Time  0.356979
2021-09-10 02:28:31.688042 : Epoch  9, Batch     98, Loss  0.543650, Average Loss  0.537187, Time  0.258065
2021-09-10 02:28:32.546141 : Epoch  8, Batch   1793, Loss  0.869468, Average Loss  0.866351, Time  0.476740
2021-09-10 02:28:33.599042 : Epoch  9, Batch     99, Loss  0.525710, Average Loss  0.537099, Time  0.258018
2021-09-10 02:28:34.461863 : Epoch  8, Batch   1794, Loss  0.886979, Average Loss  0.866482, Time  0.465324
2021-09-10 02:28:35.508844 : Epoch  9, Batch    100, Loss  0.544076, Average Loss  0.537046, Time  0.257801
2021-09-10 02:28:36.259114 : Epoch  8, Batch   1795, Loss  0.855684, Average Loss  0.866462, Time  0.355464
2021-09-10 02:28:37.415044 : Epoch  9, Batch    101, Loss  0.538058, Average Loss  0.537070, Time  0.257853
2021-09-10 02:28:38.096132 : Epoch  8, Batch   1796, Loss  0.862494, Average Loss  0.866389, Time  0.362957
2021-09-10 02:28:39.332947 : Epoch  9, Batch    102, Loss  0.526297, Average Loss  0.537019, Time  0.258153
2021-09-10 02:28:39.897299 : Epoch  8, Batch   1797, Loss  0.856196, Average Loss  0.866360, Time  0.378474
2021-09-10 02:28:41.261901 : Epoch  9, Batch    103, Loss  0.524535, Average Loss  0.536990, Time  0.258183
2021-09-10 02:28:41.789782 : Epoch  8, Batch   1798, Loss  0.902048, Average Loss  0.866558, Time  0.465044
2021-09-10 02:28:43.161088 : Epoch  9, Batch    104, Loss  0.538235, Average Loss  0.537016, Time  0.259649
2021-09-10 02:28:43.598944 : Epoch  8, Batch   1799, Loss  0.900963, Average Loss  0.866611, Time  0.352080
2021-09-10 02:28:45.391897 : Epoch  8, Batch   1800, Loss  0.877255, Average Loss  0.866718, Time  0.358125
2021-09-10 02:28:47.217778 : Epoch  8, Batch   1801, Loss  0.870779, Average Loss  0.866748, Time  0.358510
2021-09-10 02:28:49.118914 : Epoch  8, Batch   1802, Loss  0.889304, Average Loss  0.866806, Time  0.451315
2021-09-10 02:28:51.032796 : Epoch  8, Batch   1803, Loss  0.860989, Average Loss  0.866591, Time  0.447265
2021-09-10 02:28:52.850106 : Epoch  8, Batch   1804, Loss  0.821187, Average Loss  0.866383, Time  0.356700
2021-09-10 02:28:54.690786 : Epoch  8, Batch   1805, Loss  0.849086, Average Loss  0.866493, Time  0.357193
2021-09-10 02:28:56.519098 : Epoch  8, Batch   1806, Loss  0.863663, Average Loss  0.866584, Time  0.366786
2021-09-10 02:28:58.434802 : Epoch  8, Batch   1807, Loss  0.867889, Average Loss  0.866495, Time  0.452736
2021-09-10 02:29:00.309769 : Epoch  8, Batch   1808, Loss  0.877178, Average Loss  0.866595, Time  0.427953
2021-09-10 02:29:02.124120 : Epoch  8, Batch   1809, Loss  0.858144, Average Loss  0.866495, Time  0.357938
2021-09-10 02:29:03.936791 : Epoch  8, Batch   1810, Loss  0.864305, Average Loss  0.866586, Time  0.356913
2021-09-10 02:29:05.804115 : Epoch  8, Batch   1811, Loss  0.848183, Average Loss  0.866448, Time  0.401985
2021-09-10 02:29:07.720792 : Epoch  8, Batch   1812, Loss  0.858503, Average Loss  0.866477, Time  0.452286
2021-09-10 02:29:09.587829 : Epoch  8, Batch   1813, Loss  0.860684, Average Loss  0.866558, Time  0.408808
2021-09-10 02:29:11.380006 : Epoch  8, Batch   1814, Loss  0.889406, Average Loss  0.866707, Time  0.357653
2021-09-10 02:29:13.180821 : Epoch  8, Batch   1815, Loss  0.854800, Average Loss  0.866736, Time  0.359282
2021-09-10 02:29:15.047204 : Epoch  8, Batch   1816, Loss  0.870592, Average Loss  0.866694, Time  0.431234
2021-09-10 02:29:16.957831 : Epoch  8, Batch   1817, Loss  0.884231, Average Loss  0.866836, Time  0.451597
2021-09-10 02:29:18.806822 : Epoch  8, Batch   1818, Loss  0.876286, Average Loss  0.866923, Time  0.374495
2021-09-10 02:29:20.612792 : Epoch  8, Batch   1819, Loss  0.853110, Average Loss  0.866894, Time  0.359450
2021-09-10 02:29:22.427796 : Epoch  8, Batch   1820, Loss  0.877316, Average Loss  0.866874, Time  0.356784
2021-09-10 02:29:24.332953 : Epoch  8, Batch   1821, Loss  0.911972, Average Loss  0.867077, Time  0.445539
2021-09-10 02:29:26.253785 : Epoch  8, Batch   1822, Loss  0.896015, Average Loss  0.867150, Time  0.453953
2021-09-10 02:29:28.096771 : Epoch  8, Batch   1823, Loss  0.852777, Average Loss  0.866912, Time  0.372603
2021-09-10 02:29:53.256738 : CheckPoint: Validation Loss  0.00022312, Best Loss  0.00021723
2021-09-10 02:29:55.184792 : Epoch  9, Batch    105, Loss  0.526193, Average Loss  0.536913, Time  0.276031
2021-09-10 02:29:57.073355 : Epoch  9, Batch    106, Loss  0.536765, Average Loss  0.536901, Time  0.263719
2021-09-10 02:29:58.977831 : Epoch  9, Batch    107, Loss  0.541906, Average Loss  0.536978, Time  0.258974
2021-09-10 02:30:00.895806 : Epoch  9, Batch    108, Loss  0.535260, Average Loss  0.536931, Time  0.258295
2021-09-10 02:30:02.781780 : Epoch  9, Batch    109, Loss  0.543272, Average Loss  0.536909, Time  0.263593
2021-09-10 02:30:04.646888 : Epoch  9, Batch    110, Loss  0.536522, Average Loss  0.536878, Time  0.262990
2021-09-10 02:30:06.523693 : Epoch  9, Batch    111, Loss  0.540909, Average Loss  0.536956, Time  0.261786
2021-09-10 02:30:08.398917 : Epoch  9, Batch    112, Loss  0.537132, Average Loss  0.536870, Time  0.258269
2021-09-10 02:30:10.284770 : Epoch  9, Batch    113, Loss  0.547673, Average Loss  0.536937, Time  0.262513
2021-09-10 02:30:12.168924 : Epoch  9, Batch    114, Loss  0.532105, Average Loss  0.536990, Time  0.259039
2021-09-10 02:30:14.041774 : Epoch  9, Batch    115, Loss  0.533832, Average Loss  0.536985, Time  0.258179
2021-09-10 02:30:15.939794 : Epoch  9, Batch    116, Loss  0.534274, Average Loss  0.537032, Time  0.259568
2021-09-10 02:30:17.832965 : Epoch  9, Batch    117, Loss  0.558174, Average Loss  0.537104, Time  0.260121
2021-09-10 02:30:19.730664 : Epoch  9, Batch    118, Loss  0.527774, Average Loss  0.537128, Time  0.258437
2021-09-10 02:30:21.602077 : Epoch  9, Batch    119, Loss  0.542279, Average Loss  0.537155, Time  0.262759
2021-09-10 02:30:23.484788 : Epoch  9, Batch    120, Loss  0.531922, Average Loss  0.537159, Time  0.259179
2021-09-10 02:30:25.358782 : Epoch  9, Batch    121, Loss  0.537444, Average Loss  0.537204, Time  0.265265
2021-09-10 02:30:27.252889 : Epoch  9, Batch    122, Loss  0.541092, Average Loss  0.537266, Time  0.264490
2021-09-10 02:30:29.150756 : Epoch  9, Batch    123, Loss  0.539812, Average Loss  0.537315, Time  0.258304
2021-09-10 02:30:31.043782 : Epoch  9, Batch    124, Loss  0.537659, Average Loss  0.537379, Time  0.263219
2021-09-10 02:30:32.941793 : Epoch  9, Batch    125, Loss  0.529126, Average Loss  0.537250, Time  0.258834
2021-09-10 02:30:34.864840 : Epoch  9, Batch    126, Loss  0.538331, Average Loss  0.537269, Time  0.267481
2021-09-10 02:30:36.782777 : Epoch  9, Batch    127, Loss  0.537311, Average Loss  0.537295, Time  0.259218
2021-09-10 02:30:38.687917 : Epoch  9, Batch    128, Loss  0.545260, Average Loss  0.537306, Time  0.272350
2021-09-10 02:30:40.597853 : Epoch  9, Batch    129, Loss  0.524522, Average Loss  0.537227, Time  0.275477
2021-09-10 02:30:42.505921 : Epoch  9, Batch    130, Loss  0.540258, Average Loss  0.537226, Time  0.260010
2021-09-10 02:30:44.407615 : Epoch  9, Batch    131, Loss  0.547539, Average Loss  0.537267, Time  0.261922
2021-09-10 02:30:46.293303 : Epoch  9, Batch    132, Loss  0.541606, Average Loss  0.537279, Time  0.258450
2021-09-10 02:30:48.158640 : Epoch  9, Batch    133, Loss  0.535786, Average Loss  0.537260, Time  0.261306
2021-09-10 02:30:50.034624 : Epoch  9, Batch    134, Loss  0.526452, Average Loss  0.537191, Time  0.259696
2021-09-10 02:30:51.915770 : Epoch  9, Batch    135, Loss  0.535124, Average Loss  0.537192, Time  0.264762
2021-09-10 02:30:53.838836 : Epoch  9, Batch    136, Loss  0.520433, Average Loss  0.537180, Time  0.264379
2021-09-10 02:30:55.713155 : Epoch  9, Batch    137, Loss  0.548867, Average Loss  0.537315, Time  0.260895
2021-09-10 02:30:57.591888 : Epoch  9, Batch    138, Loss  0.543881, Average Loss  0.537419, Time  0.262043
2021-09-10 02:30:59.484868 : Epoch  9, Batch    139, Loss  0.532781, Average Loss  0.537329, Time  0.258308
2021-09-10 02:31:01.415089 : Epoch  9, Batch    140, Loss  0.531196, Average Loss  0.537284, Time  0.267380
2021-09-10 02:31:03.309902 : Epoch  9, Batch    141, Loss  0.521881, Average Loss  0.537213, Time  0.258120
2021-09-10 02:31:05.218932 : Epoch  9, Batch    142, Loss  0.531812, Average Loss  0.537109, Time  0.264126
2021-09-10 02:31:07.142883 : Epoch  9, Batch    143, Loss  0.517202, Average Loss  0.536988, Time  0.271485
2021-09-10 02:31:09.032112 : Epoch  9, Batch    144, Loss  0.544881, Average Loss  0.536953, Time  0.258963
2021-09-10 02:31:10.958858 : Epoch  9, Batch    145, Loss  0.551935, Average Loss  0.537029, Time  0.270705
2021-09-10 02:31:12.843815 : Epoch  9, Batch    146, Loss  0.553380, Average Loss  0.537171, Time  0.263814
2021-09-10 02:31:14.725979 : Epoch  9, Batch    147, Loss  0.532601, Average Loss  0.537141, Time  0.258596
2021-09-10 02:31:16.610081 : Epoch  9, Batch    148, Loss  0.543194, Average Loss  0.537080, Time  0.261936
2021-09-10 02:31:18.488087 : Epoch  9, Batch    149, Loss  0.544095, Average Loss  0.537043, Time  0.262026
2021-09-10 02:31:20.374364 : Epoch  9, Batch    150, Loss  0.536889, Average Loss  0.537041, Time  0.258089
2021-09-10 02:31:22.254792 : Epoch  9, Batch    151, Loss  0.527297, Average Loss  0.536975, Time  0.262142
2021-09-10 02:31:24.129091 : Epoch  9, Batch    152, Loss  0.529626, Average Loss  0.536902, Time  0.262537
2021-09-10 02:31:26.004845 : Epoch  9, Batch    153, Loss  0.554659, Average Loss  0.536986, Time  0.258615
2021-09-10 02:31:27.917904 : Epoch  9, Batch    154, Loss  0.547665, Average Loss  0.537125, Time  0.260747
2021-09-10 02:31:29.825908 : Epoch  9, Batch    155, Loss  0.519717, Average Loss  0.537074, Time  0.258079
2021-09-10 02:31:31.738677 : Epoch  9, Batch    156, Loss  0.531471, Average Loss  0.537104, Time  0.280045
2021-09-10 02:31:33.641125 : Epoch  9, Batch    157, Loss  0.523110, Average Loss  0.537013, Time  0.263036
2021-09-10 02:31:35.570162 : Epoch  9, Batch    158, Loss  0.541385, Average Loss  0.537040, Time  0.258679
2021-09-10 02:31:37.468858 : Epoch  9, Batch    159, Loss  0.539899, Average Loss  0.537053, Time  0.258909
2021-09-10 02:31:39.384936 : Epoch  9, Batch    160, Loss  0.533008, Average Loss  0.537035, Time  0.265681
2021-09-10 02:31:41.320153 : Epoch  9, Batch    161, Loss  0.546031, Average Loss  0.537122, Time  0.262100
2021-09-10 02:31:43.214862 : Epoch  9, Batch    162, Loss  0.522878, Average Loss  0.537079, Time  0.258398
2021-09-10 02:31:45.131870 : Epoch  9, Batch    163, Loss  0.519495, Average Loss  0.536987, Time  0.262737
2021-09-10 02:31:47.041307 : Epoch  9, Batch    164, Loss  0.528645, Average Loss  0.536963, Time  0.266248
2021-09-10 02:31:48.920443 : Epoch  9, Batch    165, Loss  0.532463, Average Loss  0.536931, Time  0.260609
2021-09-10 02:31:50.813104 : Epoch  9, Batch    166, Loss  0.547589, Average Loss  0.536929, Time  0.268526
2021-09-10 02:31:52.683820 : Epoch  9, Batch    167, Loss  0.543454, Average Loss  0.537029, Time  0.258526
2021-09-10 02:31:54.611074 : Epoch  9, Batch    168, Loss  0.547778, Average Loss  0.537135, Time  0.258525
2021-09-10 02:31:56.494782 : Epoch  9, Batch    169, Loss  0.542848, Average Loss  0.537196, Time  0.264014
2021-09-10 02:31:58.383778 : Epoch  9, Batch    170, Loss  0.526795, Average Loss  0.537126, Time  0.260551
2021-09-10 02:32:00.251783 : Epoch  9, Batch    171, Loss  0.547778, Average Loss  0.537184, Time  0.258377
2021-09-10 02:32:02.138883 : Epoch  9, Batch    172, Loss  0.541669, Average Loss  0.537204, Time  0.258767
2021-09-10 02:32:04.031792 : Epoch  9, Batch    173, Loss  0.539046, Average Loss  0.537187, Time  0.257957
2021-09-10 02:32:05.952843 : Epoch  9, Batch    174, Loss  0.530954, Average Loss  0.537151, Time  0.258641
2021-09-10 02:32:09.951840 : Epoch  9, Batch    175, Loss  0.536295, Average Loss  0.537123, Time  0.273338
2021-09-10 02:32:11.826802 : Epoch  9, Batch    176, Loss  0.537909, Average Loss  0.537184, Time  0.258857
2021-09-10 02:32:13.766971 : Epoch  9, Batch    177, Loss  0.544918, Average Loss  0.537170, Time  0.260798
2021-09-10 02:32:15.645009 : Epoch  9, Batch    178, Loss  0.539887, Average Loss  0.537207, Time  0.261446
2021-09-10 02:32:17.566813 : Epoch  9, Batch    179, Loss  0.545682, Average Loss  0.537261, Time  0.266911
2021-09-10 02:32:19.484776 : Epoch  9, Batch    180, Loss  0.525657, Average Loss  0.537232, Time  0.264652
2021-09-10 02:32:21.371134 : Epoch  9, Batch    181, Loss  0.536251, Average Loss  0.537272, Time  0.261371
2021-09-10 02:32:23.268868 : Epoch  9, Batch    182, Loss  0.539647, Average Loss  0.537334, Time  0.269015
2021-09-10 02:32:25.164864 : Epoch  9, Batch    183, Loss  0.543167, Average Loss  0.537427, Time  0.258281
2021-09-10 02:32:27.035765 : Epoch  9, Batch    184, Loss  0.526655, Average Loss  0.537337, Time  0.258804
2021-09-10 02:32:28.924861 : Epoch  9, Batch    185, Loss  0.548485, Average Loss  0.537258, Time  0.263434
2021-09-10 02:32:30.830102 : Epoch  9, Batch    186, Loss  0.528262, Average Loss  0.537187, Time  0.272317
2021-09-10 02:32:32.713805 : Epoch  9, Batch    187, Loss  0.539669, Average Loss  0.537192, Time  0.258996
2021-09-10 02:32:34.611086 : Epoch  9, Batch    188, Loss  0.524553, Average Loss  0.537145, Time  0.264178
2021-09-10 02:32:36.510905 : Epoch  9, Batch    189, Loss  0.525911, Average Loss  0.537059, Time  0.258271
2021-09-10 02:32:38.402847 : Epoch  9, Batch    190, Loss  0.528706, Average Loss  0.537045, Time  0.262248
2021-09-10 02:32:40.294763 : Epoch  9, Batch    191, Loss  0.521635, Average Loss  0.536959, Time  0.264814
2021-09-10 02:32:42.223779 : Epoch  9, Batch    192, Loss  0.540301, Average Loss  0.536928, Time  0.267001
2021-09-10 02:32:44.112913 : Epoch  9, Batch    193, Loss  0.523424, Average Loss  0.536818, Time  0.264328
2021-09-10 02:32:45.977633 : Epoch  9, Batch    194, Loss  0.531145, Average Loss  0.536799, Time  0.258548
2021-09-10 02:32:47.868655 : Epoch  9, Batch    195, Loss  0.545101, Average Loss  0.536857, Time  0.258671
2021-09-10 02:32:49.778090 : Epoch  9, Batch    196, Loss  0.523238, Average Loss  0.536809, Time  0.263842
2021-09-10 02:32:51.671836 : Epoch  9, Batch    197, Loss  0.536573, Average Loss  0.536759, Time  0.259609
2021-09-10 02:32:53.566060 : Epoch  9, Batch    198, Loss  0.527459, Average Loss  0.536688, Time  0.258238
2021-09-10 02:32:55.451079 : Epoch  9, Batch    199, Loss  0.539519, Average Loss  0.536735, Time  0.265208
2021-09-10 02:32:57.335881 : Epoch  9, Batch    200, Loss  0.537987, Average Loss  0.536796, Time  0.259068
2021-09-10 02:32:59.227791 : Epoch  9, Batch    201, Loss  0.517608, Average Loss  0.536628, Time  0.258713
2021-09-10 02:33:01.139785 : Epoch  9, Batch    202, Loss  0.533175, Average Loss  0.536584, Time  0.262271
2021-09-10 02:33:03.063806 : Epoch  9, Batch    203, Loss  0.548806, Average Loss  0.536617, Time  0.272825
2021-09-10 02:33:04.958774 : Epoch  9, Batch    204, Loss  0.539253, Average Loss  0.536622, Time  0.269423
2021-09-10 02:34:14.490752 : CheckPoint: Validation Loss  0.00022302, Best Loss  0.00021723
2021-09-10 02:34:16.382173 : Epoch  9, Batch    205, Loss  0.525344, Average Loss  0.536644, Time  0.266383
2021-09-10 02:34:18.251784 : Epoch  9, Batch    206, Loss  0.516546, Average Loss  0.536510, Time  0.259408
2021-09-10 02:34:19.846713 : CheckPoint: Validation Loss  0.00061010, Best Loss  0.00056427
2021-09-10 02:34:20.121308 : Epoch  9, Batch    207, Loss  0.536396, Average Loss  0.536493, Time  0.264309
2021-09-10 02:34:21.709782 : Epoch  8, Batch   1824, Loss  0.843238, Average Loss  0.867000, Time  0.412122
2021-09-10 02:34:22.007830 : Epoch  9, Batch    208, Loss  0.537786, Average Loss  0.536541, Time  0.258739
2021-09-10 02:34:23.598792 : Epoch  8, Batch   1825, Loss  0.868517, Average Loss  0.867055, Time  0.453540
2021-09-10 02:34:23.894069 : Epoch  9, Batch    209, Loss  0.532137, Average Loss  0.536524, Time  0.260570
2021-09-10 02:34:25.402075 : Epoch  8, Batch   1826, Loss  0.838560, Average Loss  0.866909, Time  0.349269
2021-09-10 02:34:25.793075 : Epoch  9, Batch    210, Loss  0.547578, Average Loss  0.536523, Time  0.258346
2021-09-10 02:34:27.215787 : Epoch  8, Batch   1827, Loss  0.905406, Average Loss  0.867096, Time  0.358991
2021-09-10 02:34:27.693787 : Epoch  9, Batch    211, Loss  0.540119, Average Loss  0.536495, Time  0.275680
2021-09-10 02:34:29.023892 : Epoch  8, Batch   1828, Loss  0.858544, Average Loss  0.867018, Time  0.355879
2021-09-10 02:34:29.604809 : Epoch  9, Batch    212, Loss  0.542421, Average Loss  0.536465, Time  0.264186
2021-09-10 02:34:30.909771 : Epoch  8, Batch   1829, Loss  0.859759, Average Loss  0.867026, Time  0.452100
2021-09-10 02:34:31.487816 : Epoch  9, Batch    213, Loss  0.540770, Average Loss  0.536475, Time  0.258401
2021-09-10 02:34:32.725110 : Epoch  8, Batch   1830, Loss  0.869891, Average Loss  0.866988, Time  0.384163
2021-09-10 02:34:33.370850 : Epoch  9, Batch    214, Loss  0.533499, Average Loss  0.536468, Time  0.266041
2021-09-10 02:34:34.564092 : Epoch  8, Batch   1831, Loss  0.871173, Average Loss  0.867087, Time  0.366399
2021-09-10 02:34:35.259870 : Epoch  9, Batch    215, Loss  0.545680, Average Loss  0.536507, Time  0.261992
2021-09-10 02:34:36.368092 : Epoch  8, Batch   1832, Loss  0.843832, Average Loss  0.867001, Time  0.356353
2021-09-10 02:34:37.150858 : Epoch  9, Batch    216, Loss  0.537319, Average Loss  0.536502, Time  0.261985
2021-09-10 02:34:38.261788 : Epoch  8, Batch   1833, Loss  0.874930, Average Loss  0.867173, Time  0.442631
2021-09-10 02:34:39.016082 : Epoch  9, Batch    217, Loss  0.541039, Average Loss  0.536531, Time  0.261258
2021-09-10 02:34:40.172832 : Epoch  8, Batch   1834, Loss  0.838455, Average Loss  0.867107, Time  0.452782
2021-09-10 02:34:40.908117 : Epoch  9, Batch    218, Loss  0.547523, Average Loss  0.536597, Time  0.258761
2021-09-10 02:34:41.978099 : Epoch  8, Batch   1835, Loss  0.851961, Average Loss  0.867196, Time  0.350131
2021-09-10 02:34:42.793875 : Epoch  9, Batch    219, Loss  0.533862, Average Loss  0.536582, Time  0.261816
2021-09-10 02:34:43.781102 : Epoch  8, Batch   1836, Loss  0.846181, Average Loss  0.867171, Time  0.356727
2021-09-10 02:34:44.711835 : Epoch  9, Batch    220, Loss  0.527184, Average Loss  0.536580, Time  0.270147
2021-09-10 02:34:45.580266 : Epoch  8, Batch   1837, Loss  0.880804, Average Loss  0.867168, Time  0.358315
2021-09-10 02:34:46.622089 : Epoch  9, Batch    221, Loss  0.549416, Average Loss  0.536685, Time  0.261654
2021-09-10 02:34:47.487139 : Epoch  8, Batch   1838, Loss  0.868732, Average Loss  0.867223, Time  0.449793
2021-09-10 02:34:48.541911 : Epoch  9, Batch    222, Loss  0.521085, Average Loss  0.536624, Time  0.268224
2021-09-10 02:34:49.319954 : Epoch  8, Batch   1839, Loss  0.847797, Average Loss  0.867145, Time  0.384404
2021-09-10 02:34:50.401254 : Epoch  9, Batch    223, Loss  0.552948, Average Loss  0.536697, Time  0.258513
2021-09-10 02:34:51.132070 : Epoch  8, Batch   1840, Loss  0.868030, Average Loss  0.867082, Time  0.360765
2021-09-10 02:34:52.317833 : Epoch  9, Batch    224, Loss  0.546493, Average Loss  0.536717, Time  0.271096
2021-09-10 02:34:52.939787 : Epoch  8, Batch   1841, Loss  0.850770, Average Loss  0.867002, Time  0.360500
2021-09-10 02:34:54.223329 : Epoch  9, Batch    225, Loss  0.526812, Average Loss  0.536718, Time  0.258696
2021-09-10 02:34:54.843908 : Epoch  8, Batch   1842, Loss  0.867177, Average Loss  0.867077, Time  0.437599
2021-09-10 02:34:56.086929 : Epoch  9, Batch    226, Loss  0.537655, Average Loss  0.536695, Time  0.263866
2021-09-10 02:34:56.719071 : Epoch  8, Batch   1843, Loss  0.864677, Average Loss  0.867044, Time  0.440467
2021-09-10 02:34:57.956090 : Epoch  9, Batch    227, Loss  0.528050, Average Loss  0.536626, Time  0.262098
2021-09-10 02:34:58.522845 : Epoch  8, Batch   1844, Loss  0.873775, Average Loss  0.867178, Time  0.357069
2021-09-10 02:34:59.850860 : Epoch  9, Batch    228, Loss  0.528164, Average Loss  0.536691, Time  0.261132
2021-09-10 02:35:00.366071 : Epoch  8, Batch   1845, Loss  0.886799, Average Loss  0.867356, Time  0.357296
2021-09-10 02:35:01.757779 : Epoch  9, Batch    229, Loss  0.534148, Average Loss  0.536697, Time  0.266595
2021-09-10 02:35:02.185101 : Epoch  8, Batch   1846, Loss  0.836157, Average Loss  0.867441, Time  0.367623
2021-09-10 02:35:03.672011 : Epoch  9, Batch    230, Loss  0.546363, Average Loss  0.536713, Time  0.260603
2021-09-10 02:35:04.078810 : Epoch  8, Batch   1847, Loss  0.879011, Average Loss  0.867479, Time  0.452651
2021-09-10 02:35:05.573179 : Epoch  9, Batch    231, Loss  0.539122, Average Loss  0.536788, Time  0.262349
2021-09-10 02:35:05.856778 : Epoch  8, Batch   1848, Loss  0.868808, Average Loss  0.867648, Time  0.349685
2021-09-10 02:35:07.470813 : Epoch  9, Batch    232, Loss  0.537470, Average Loss  0.536752, Time  0.267915
2021-09-10 02:35:07.663855 : Epoch  8, Batch   1849, Loss  0.848014, Average Loss  0.867591, Time  0.356958
2021-09-10 02:35:09.372834 : Epoch  9, Batch    233, Loss  0.540911, Average Loss  0.536779, Time  0.272053
2021-09-10 02:35:09.466769 : Epoch  8, Batch   1850, Loss  0.857079, Average Loss  0.867357, Time  0.355980
2021-09-10 02:35:11.277779 : Epoch  9, Batch    234, Loss  0.545195, Average Loss  0.536850, Time  0.258474
2021-09-10 02:35:11.352938 : Epoch  8, Batch   1851, Loss  0.866936, Average Loss  0.867497, Time  0.451738
2021-09-10 02:35:13.161790 : Epoch  8, Batch   1852, Loss  0.886426, Average Loss  0.867660, Time  0.373049
2021-09-10 02:35:13.220298 : Epoch  9, Batch    235, Loss  0.537983, Average Loss  0.536878, Time  0.266735
2021-09-10 02:35:14.990016 : Epoch  8, Batch   1853, Loss  0.857425, Average Loss  0.867585, Time  0.356813
2021-09-10 02:35:15.137854 : Epoch  9, Batch    236, Loss  0.546644, Average Loss  0.536847, Time  0.269640
2021-09-10 02:35:16.880772 : Epoch  8, Batch   1854, Loss  0.875656, Average Loss  0.867735, Time  0.366509
2021-09-10 02:35:17.083787 : Epoch  9, Batch    237, Loss  0.529839, Average Loss  0.536856, Time  0.263304
2021-09-10 02:35:18.760788 : Epoch  8, Batch   1855, Loss  0.869629, Average Loss  0.867778, Time  0.426328
2021-09-10 02:35:18.983946 : Epoch  9, Batch    238, Loss  0.542553, Average Loss  0.536915, Time  0.261203
2021-09-10 02:35:20.685446 : Epoch  8, Batch   1856, Loss  0.863731, Average Loss  0.867656, Time  0.469814
2021-09-10 02:35:20.905880 : Epoch  9, Batch    239, Loss  0.539536, Average Loss  0.536877, Time  0.274468
2021-09-10 02:35:22.600782 : Epoch  8, Batch   1857, Loss  0.852443, Average Loss  0.867655, Time  0.428544
2021-09-10 02:35:22.814952 : Epoch  9, Batch    240, Loss  0.538109, Average Loss  0.536935, Time  0.270360
2021-09-10 02:35:24.412280 : Epoch  8, Batch   1858, Loss  0.871396, Average Loss  0.867695, Time  0.360355
2021-09-10 02:35:24.705784 : Epoch  9, Batch    241, Loss  0.539518, Average Loss  0.536907, Time  0.260015
2021-09-10 02:35:26.214781 : Epoch  8, Batch   1859, Loss  0.869093, Average Loss  0.867549, Time  0.359804
2021-09-10 02:35:26.589814 : Epoch  9, Batch    242, Loss  0.534808, Average Loss  0.536907, Time  0.263157
2021-09-10 02:35:28.056766 : Epoch  8, Batch   1860, Loss  0.851901, Average Loss  0.867464, Time  0.417670
2021-09-10 02:35:28.479814 : Epoch  9, Batch    243, Loss  0.532972, Average Loss  0.536833, Time  0.258507
2021-09-10 02:35:29.974176 : Epoch  8, Batch   1861, Loss  0.882337, Average Loss  0.867454, Time  0.473271
2021-09-10 02:35:30.361086 : Epoch  9, Batch    244, Loss  0.538185, Average Loss  0.536830, Time  0.265217
2021-09-10 02:35:31.860122 : Epoch  8, Batch   1862, Loss  0.869991, Average Loss  0.867445, Time  0.422291
2021-09-10 02:35:32.248847 : Epoch  9, Batch    245, Loss  0.531945, Average Loss  0.536866, Time  0.261365
2021-09-10 02:35:33.677771 : Epoch  8, Batch   1863, Loss  0.865404, Average Loss  0.867341, Time  0.360998
2021-09-10 02:35:34.137911 : Epoch  9, Batch    246, Loss  0.536714, Average Loss  0.536795, Time  0.258596
2021-09-10 02:35:35.455738 : Epoch  8, Batch   1864, Loss  0.872091, Average Loss  0.867276, Time  0.362744
2021-09-10 02:35:36.038117 : Epoch  9, Batch    247, Loss  0.538396, Average Loss  0.536829, Time  0.266052
2021-09-10 02:35:37.312126 : Epoch  8, Batch   1865, Loss  0.874935, Average Loss  0.867301, Time  0.414605
2021-09-10 02:35:37.920918 : Epoch  9, Batch    248, Loss  0.520209, Average Loss  0.536717, Time  0.264701
2021-09-10 02:35:39.222782 : Epoch  8, Batch   1866, Loss  0.858311, Average Loss  0.867190, Time  0.454386
2021-09-10 02:35:39.830096 : Epoch  9, Batch    249, Loss  0.543133, Average Loss  0.536676, Time  0.259935
2021-09-10 02:35:41.013126 : Epoch  8, Batch   1867, Loss  0.850605, Average Loss  0.867225, Time  0.368447
2021-09-10 02:35:41.737905 : Epoch  9, Batch    250, Loss  0.533360, Average Loss  0.536660, Time  0.262190
2021-09-10 02:35:42.793785 : Epoch  8, Batch   1868, Loss  0.906269, Average Loss  0.867367, Time  0.358799
2021-09-10 02:35:43.609656 : Epoch  9, Batch    251, Loss  0.534742, Average Loss  0.536674, Time  0.258770
2021-09-10 02:35:44.593951 : Epoch  8, Batch   1869, Loss  0.871252, Average Loss  0.867560, Time  0.370200
2021-09-10 02:35:45.507868 : Epoch  9, Batch    252, Loss  0.542933, Average Loss  0.536644, Time  0.269859
2021-09-10 02:35:46.503787 : Epoch  8, Batch   1870, Loss  0.875629, Average Loss  0.867615, Time  0.457367
2021-09-10 02:35:47.396968 : Epoch  9, Batch    253, Loss  0.539047, Average Loss  0.536700, Time  0.262714
2021-09-10 02:35:48.309157 : Epoch  8, Batch   1871, Loss  0.861801, Average Loss  0.867806, Time  0.373188
2021-09-10 02:35:49.318979 : Epoch  9, Batch    254, Loss  0.539977, Average Loss  0.536765, Time  0.275328
2021-09-10 02:35:50.113783 : Epoch  8, Batch   1872, Loss  0.877911, Average Loss  0.867839, Time  0.368403
2021-09-10 02:35:51.240899 : Epoch  9, Batch    255, Loss  0.526814, Average Loss  0.536651, Time  0.268641
2021-09-10 02:35:51.915777 : Epoch  8, Batch   1873, Loss  0.838617, Average Loss  0.867880, Time  0.375443
2021-09-10 02:35:53.165870 : Epoch  9, Batch    256, Loss  0.539544, Average Loss  0.536675, Time  0.268006
2021-09-10 02:35:53.801782 : Epoch  8, Batch   1874, Loss  0.864964, Average Loss  0.867895, Time  0.449595
2021-09-10 02:35:55.082090 : Epoch  9, Batch    257, Loss  0.539350, Average Loss  0.536688, Time  0.264874
2021-09-10 02:35:55.685962 : Epoch  8, Batch   1875, Loss  0.849659, Average Loss  0.867756, Time  0.451335
2021-09-10 02:35:56.973836 : Epoch  9, Batch    258, Loss  0.533783, Average Loss  0.536748, Time  0.258714
2021-09-10 02:35:57.480782 : Epoch  8, Batch   1876, Loss  0.860493, Average Loss  0.867774, Time  0.356611
2021-09-10 02:35:58.878999 : Epoch  9, Batch    259, Loss  0.526560, Average Loss  0.536635, Time  0.258454
2021-09-10 02:35:59.237258 : Epoch  8, Batch   1877, Loss  0.838059, Average Loss  0.867555, Time  0.356364
2021-09-10 02:36:00.788163 : Epoch  9, Batch    260, Loss  0.537203, Average Loss  0.536653, Time  0.263546
2021-09-10 02:36:01.064773 : Epoch  8, Batch   1878, Loss  0.883768, Average Loss  0.867667, Time  0.412379
2021-09-10 02:36:02.673850 : Epoch  9, Batch    261, Loss  0.545766, Average Loss  0.536719, Time  0.260637
2021-09-10 02:36:02.946288 : Epoch  8, Batch   1879, Loss  0.860668, Average Loss  0.867660, Time  0.453189
2021-09-10 02:36:04.554101 : Epoch  9, Batch    262, Loss  0.521218, Average Loss  0.536658, Time  0.258428
2021-09-10 02:36:04.720776 : Epoch  8, Batch   1880, Loss  0.873446, Average Loss  0.867680, Time  0.363660
2021-09-10 02:36:06.435917 : Epoch  9, Batch    263, Loss  0.536057, Average Loss  0.536632, Time  0.262253
2021-09-10 02:36:06.519770 : Epoch  8, Batch   1881, Loss  0.894943, Average Loss  0.867800, Time  0.357375
2021-09-10 02:36:08.305301 : Epoch  9, Batch    264, Loss  0.535185, Average Loss  0.536639, Time  0.258578
2021-09-10 02:36:08.340387 : Epoch  8, Batch   1882, Loss  0.864855, Average Loss  0.867679, Time  0.396559
2021-09-10 02:36:10.185876 : Epoch  9, Batch    265, Loss  0.541606, Average Loss  0.536594, Time  0.258213
2021-09-10 02:36:10.248975 : Epoch  8, Batch   1883, Loss  0.869433, Average Loss  0.867736, Time  0.452952
2021-09-10 02:36:12.051968 : Epoch  8, Batch   1884, Loss  0.862478, Average Loss  0.867848, Time  0.377686
2021-09-10 02:36:12.096817 : Epoch  9, Batch    266, Loss  0.541744, Average Loss  0.536641, Time  0.268697
2021-09-10 02:36:13.830920 : Epoch  8, Batch   1885, Loss  0.858451, Average Loss  0.867784, Time  0.358132
2021-09-10 02:36:14.005763 : Epoch  9, Batch    267, Loss  0.539196, Average Loss  0.536635, Time  0.260700
2021-09-10 02:36:15.620797 : Epoch  8, Batch   1886, Loss  0.858317, Average Loss  0.867736, Time  0.366117
2021-09-10 02:36:15.869769 : Epoch  9, Batch    268, Loss  0.532277, Average Loss  0.536640, Time  0.261534
2021-09-10 02:36:17.521830 : Epoch  8, Batch   1887, Loss  0.869830, Average Loss  0.867689, Time  0.473134
2021-09-10 02:36:17.750077 : Epoch  9, Batch    269, Loss  0.533152, Average Loss  0.536592, Time  0.279629
2021-09-10 02:36:19.393800 : Epoch  8, Batch   1888, Loss  0.874859, Average Loss  0.867664, Time  0.454997
2021-09-10 02:36:19.613764 : Epoch  9, Batch    270, Loss  0.522672, Average Loss  0.536480, Time  0.259248
2021-09-10 02:36:21.165780 : Epoch  8, Batch   1889, Loss  0.877147, Average Loss  0.867722, Time  0.362944
2021-09-10 02:36:21.526078 : Epoch  9, Batch    271, Loss  0.532374, Average Loss  0.536428, Time  0.261930
2021-09-10 02:36:22.964768 : Epoch  8, Batch   1890, Loss  0.851133, Average Loss  0.867714, Time  0.358673
2021-09-10 02:36:23.415081 : Epoch  9, Batch    272, Loss  0.531736, Average Loss  0.536335, Time  0.261510
2021-09-10 02:36:24.789913 : Epoch  8, Batch   1891, Loss  0.853530, Average Loss  0.867519, Time  0.403112
2021-09-10 02:36:25.288808 : Epoch  9, Batch    273, Loss  0.539075, Average Loss  0.536328, Time  0.264867
2021-09-10 02:36:26.675249 : Epoch  8, Batch   1892, Loss  0.865823, Average Loss  0.867588, Time  0.458737
2021-09-10 02:36:27.206083 : Epoch  9, Batch    274, Loss  0.546497, Average Loss  0.536387, Time  0.267002
2021-09-10 02:36:28.491637 : Epoch  8, Batch   1893, Loss  0.872761, Average Loss  0.867702, Time  0.353609
2021-09-10 02:36:30.312917 : Epoch  8, Batch   1894, Loss  0.881859, Average Loss  0.867789, Time  0.369103
2021-09-10 02:36:31.229820 : Epoch  9, Batch    275, Loss  0.517831, Average Loss  0.536302, Time  0.274172
2021-09-10 02:36:32.107776 : Epoch  8, Batch   1895, Loss  0.882086, Average Loss  0.867728, Time  0.358991
2021-09-10 02:36:33.097084 : Epoch  9, Batch    276, Loss  0.533594, Average Loss  0.536271, Time  0.263254
2021-09-10 02:36:33.980312 : Epoch  8, Batch   1896, Loss  0.855816, Average Loss  0.867745, Time  0.455368
2021-09-10 02:36:34.978854 : Epoch  9, Batch    277, Loss  0.540853, Average Loss  0.536246, Time  0.263554
2021-09-10 02:36:35.854965 : Epoch  8, Batch   1897, Loss  0.862569, Average Loss  0.867641, Time  0.454715
2021-09-10 02:36:36.875159 : Epoch  9, Batch    278, Loss  0.534926, Average Loss  0.536214, Time  0.267699
2021-09-10 02:36:37.651773 : Epoch  8, Batch   1898, Loss  0.825397, Average Loss  0.867479, Time  0.365194
2021-09-10 02:36:38.728240 : Epoch  9, Batch    279, Loss  0.539599, Average Loss  0.536197, Time  0.258708
2021-09-10 02:36:39.460125 : Epoch  8, Batch   1899, Loss  0.889767, Average Loss  0.867516, Time  0.383263
2021-09-10 02:36:40.629083 : Epoch  9, Batch    280, Loss  0.529070, Average Loss  0.536128, Time  0.261646
2021-09-10 02:36:41.298785 : Epoch  8, Batch   1900, Loss  0.854886, Average Loss  0.867575, Time  0.394792
2021-09-10 02:36:42.517840 : Epoch  9, Batch    281, Loss  0.532440, Average Loss  0.536070, Time  0.261668
2021-09-10 02:36:43.190817 : Epoch  8, Batch   1901, Loss  0.867176, Average Loss  0.867554, Time  0.468619
2021-09-10 02:36:44.402085 : Epoch  9, Batch    282, Loss  0.535947, Average Loss  0.536073, Time  0.258755
2021-09-10 02:36:44.966110 : Epoch  8, Batch   1902, Loss  0.896090, Average Loss  0.867811, Time  0.358662
2021-09-10 02:36:46.320776 : Epoch  9, Batch    283, Loss  0.528660, Average Loss  0.536071, Time  0.268519
2021-09-10 02:36:46.763787 : Epoch  8, Batch   1903, Loss  0.863624, Average Loss  0.867724, Time  0.355372
2021-09-10 02:36:48.232957 : Epoch  9, Batch    284, Loss  0.534146, Average Loss  0.536087, Time  0.269601
2021-09-10 02:36:48.590803 : Epoch  8, Batch   1904, Loss  0.870159, Average Loss  0.867714, Time  0.380332
2021-09-10 02:36:50.109836 : Epoch  9, Batch    285, Loss  0.536705, Average Loss  0.536131, Time  0.265170
2021-09-10 02:36:50.446769 : Epoch  8, Batch   1905, Loss  0.872904, Average Loss  0.867724, Time  0.454969
2021-09-10 02:36:52.040890 : Epoch  9, Batch    286, Loss  0.540943, Average Loss  0.536185, Time  0.262658
2021-09-10 02:36:52.223768 : Epoch  8, Batch   1906, Loss  0.864458, Average Loss  0.867791, Time  0.365176
2021-09-10 02:36:53.929101 : Epoch  9, Batch    287, Loss  0.533017, Average Loss  0.536144, Time  0.263837
2021-09-10 02:36:53.998817 : Epoch  8, Batch   1907, Loss  0.862202, Average Loss  0.867681, Time  0.354928
2021-09-10 02:36:55.810865 : Epoch  9, Batch    288, Loss  0.536643, Average Loss  0.536067, Time  0.267758
2021-09-10 02:36:55.845765 : Epoch  8, Batch   1908, Loss  0.889152, Average Loss  0.867671, Time  0.388641
2021-09-10 02:36:57.864259 : Epoch  9, Batch    289, Loss  0.532375, Average Loss  0.536081, Time  0.262325
2021-09-10 02:36:57.974880 : Epoch  8, Batch   1909, Loss  0.840885, Average Loss  0.867623, Time  0.510358
2021-09-10 02:36:59.763844 : Epoch  9, Batch    290, Loss  0.547678, Average Loss  0.536175, Time  0.258418
2021-09-10 02:36:59.965775 : Epoch  8, Batch   1910, Loss  0.868808, Average Loss  0.867616, Time  0.470648
2021-09-10 02:37:01.634812 : Epoch  9, Batch    291, Loss  0.536126, Average Loss  0.536176, Time  0.258189
2021-09-10 02:37:01.807758 : Epoch  8, Batch   1911, Loss  0.865179, Average Loss  0.867766, Time  0.430590
2021-09-10 02:37:03.497882 : Epoch  9, Batch    292, Loss  0.539026, Average Loss  0.536191, Time  0.258368
2021-09-10 02:37:03.610946 : Epoch  8, Batch   1912, Loss  0.855969, Average Loss  0.867582, Time  0.356510
2021-09-10 02:37:05.419952 : Epoch  9, Batch    293, Loss  0.520408, Average Loss  0.536123, Time  0.258086
2021-09-10 02:37:05.466765 : Epoch  8, Batch   1913, Loss  0.860937, Average Loss  0.867500, Time  0.372977
2021-09-10 02:37:07.307846 : Epoch  9, Batch    294, Loss  0.542212, Average Loss  0.536097, Time  0.258405
2021-09-10 02:37:07.363768 : Epoch  8, Batch   1914, Loss  0.885844, Average Loss  0.867638, Time  0.418669
2021-09-10 02:37:09.215840 : Epoch  9, Batch    295, Loss  0.522606, Average Loss  0.536006, Time  0.265049
2021-09-10 02:37:09.267755 : Epoch  8, Batch   1915, Loss  0.864860, Average Loss  0.867303, Time  0.454522
2021-09-10 02:37:11.103999 : Epoch  9, Batch    296, Loss  0.551550, Average Loss  0.536106, Time  0.258064
2021-09-10 02:37:11.151908 : Epoch  8, Batch   1916, Loss  0.858807, Average Loss  0.867556, Time  0.430518
2021-09-10 02:37:12.979157 : Epoch  8, Batch   1917, Loss  0.852894, Average Loss  0.867555, Time  0.389143
2021-09-10 02:37:13.012121 : Epoch  9, Batch    297, Loss  0.525074, Average Loss  0.536070, Time  0.269787
2021-09-10 02:37:14.797201 : Epoch  8, Batch   1918, Loss  0.861304, Average Loss  0.867439, Time  0.404817
2021-09-10 02:37:14.909100 : Epoch  9, Batch    298, Loss  0.537215, Average Loss  0.536037, Time  0.292909
2021-09-10 02:37:16.651772 : Epoch  8, Batch   1919, Loss  0.870080, Average Loss  0.867327, Time  0.411080
2021-09-10 02:37:16.795110 : Epoch  9, Batch    299, Loss  0.533225, Average Loss  0.536075, Time  0.257803
2021-09-10 02:37:18.527478 : Epoch  8, Batch   1920, Loss  0.863674, Average Loss  0.867242, Time  0.458829
2021-09-10 02:37:18.665855 : Epoch  9, Batch    300, Loss  0.539370, Average Loss  0.536051, Time  0.258020
2021-09-10 02:37:20.339782 : Epoch  8, Batch   1921, Loss  0.852139, Average Loss  0.867181, Time  0.336463
2021-09-10 02:37:20.593318 : Epoch  9, Batch    301, Loss  0.552934, Average Loss  0.536126, Time  0.279182
2021-09-10 02:37:22.152791 : Epoch  8, Batch   1922, Loss  0.825887, Average Loss  0.867067, Time  0.354445
2021-09-10 02:37:22.457769 : Epoch  9, Batch    302, Loss  0.536769, Average Loss  0.536178, Time  0.260899
2021-09-10 02:37:23.965766 : Epoch  8, Batch   1923, Loss  0.902730, Average Loss  0.867469, Time  0.356119
2021-09-10 02:37:24.323991 : Epoch  9, Batch    303, Loss  0.536622, Average Loss  0.536239, Time  0.262591
2021-09-10 02:37:26.258231 : Epoch  9, Batch    304, Loss  0.529744, Average Loss  0.536196, Time  0.261962
2021-09-10 02:38:35.960753 : CheckPoint: Validation Loss  0.00022819, Best Loss  0.00021723
2021-09-10 02:38:37.868869 : Epoch  9, Batch    305, Loss  0.539101, Average Loss  0.536261, Time  0.262624
2021-09-10 02:38:39.771836 : Epoch  9, Batch    306, Loss  0.541648, Average Loss  0.536285, Time  0.259368
2021-09-10 02:38:41.652837 : Epoch  9, Batch    307, Loss  0.538828, Average Loss  0.536270, Time  0.261859
2021-09-10 02:38:43.546822 : Epoch  9, Batch    308, Loss  0.527907, Average Loss  0.536233, Time  0.261447
2021-09-10 02:38:45.424870 : Epoch  9, Batch    309, Loss  0.523531, Average Loss  0.536134, Time  0.261248
2021-09-10 02:38:47.315088 : Epoch  9, Batch    310, Loss  0.528086, Average Loss  0.536092, Time  0.263615
2021-09-10 02:38:49.214879 : Epoch  9, Batch    311, Loss  0.536713, Average Loss  0.536071, Time  0.257960
2021-09-10 02:38:51.111929 : Epoch  9, Batch    312, Loss  0.528668, Average Loss  0.536029, Time  0.264603
2021-09-10 02:38:53.018787 : Epoch  9, Batch    313, Loss  0.531890, Average Loss  0.535950, Time  0.262387
2021-09-10 02:38:54.908823 : Epoch  9, Batch    314, Loss  0.549452, Average Loss  0.536037, Time  0.260627
2021-09-10 02:38:56.825768 : Epoch  9, Batch    315, Loss  0.536192, Average Loss  0.536048, Time  0.269559
2021-09-10 02:38:58.727870 : Epoch  9, Batch    316, Loss  0.527347, Average Loss  0.536014, Time  0.258107
2021-09-10 02:39:00.621080 : Epoch  9, Batch    317, Loss  0.532945, Average Loss  0.535888, Time  0.261681
2021-09-10 02:39:02.507770 : Epoch  9, Batch    318, Loss  0.546911, Average Loss  0.535983, Time  0.260894
2021-09-10 02:39:04.419824 : Epoch  9, Batch    319, Loss  0.521914, Average Loss  0.535881, Time  0.277611
2021-09-10 02:39:06.312888 : Epoch  9, Batch    320, Loss  0.529916, Average Loss  0.535871, Time  0.258232
2021-09-10 02:39:08.218882 : Epoch  9, Batch    321, Loss  0.546609, Average Loss  0.535917, Time  0.269626
2021-09-10 02:39:10.128840 : Epoch  9, Batch    322, Loss  0.540769, Average Loss  0.535916, Time  0.261603
2021-09-10 02:39:12.028795 : Epoch  9, Batch    323, Loss  0.535000, Average Loss  0.535892, Time  0.266654
2021-09-10 02:39:13.905088 : Epoch  9, Batch    324, Loss  0.539517, Average Loss  0.535901, Time  0.258581
2021-09-10 02:39:15.810753 : Epoch  9, Batch    325, Loss  0.530871, Average Loss  0.535910, Time  0.257959
2021-09-10 02:39:17.724798 : Epoch  9, Batch    326, Loss  0.546160, Average Loss  0.535949, Time  0.258916
2021-09-10 02:39:19.633793 : Epoch  9, Batch    327, Loss  0.542867, Average Loss  0.535977, Time  0.258119
2021-09-10 02:39:21.541068 : Epoch  9, Batch    328, Loss  0.542472, Average Loss  0.535963, Time  0.258142
2021-09-10 02:39:23.453844 : Epoch  9, Batch    329, Loss  0.548381, Average Loss  0.536082, Time  0.258444
2021-09-10 02:39:25.364871 : Epoch  9, Batch    330, Loss  0.541747, Average Loss  0.536089, Time  0.258708
2021-09-10 02:39:27.254774 : Epoch  9, Batch    331, Loss  0.540123, Average Loss  0.536052, Time  0.257933
2021-09-10 02:39:29.153041 : Epoch  9, Batch    332, Loss  0.547605, Average Loss  0.536082, Time  0.258191
2021-09-10 02:39:31.057902 : Epoch  9, Batch    333, Loss  0.537808, Average Loss  0.536092, Time  0.258139
2021-09-10 02:39:32.968048 : Epoch  9, Batch    334, Loss  0.545805, Average Loss  0.536189, Time  0.258301
2021-09-10 02:39:34.875878 : Epoch  9, Batch    335, Loss  0.540057, Average Loss  0.536214, Time  0.258071
2021-09-10 02:39:36.804865 : Epoch  9, Batch    336, Loss  0.543318, Average Loss  0.536328, Time  0.258632
2021-09-10 02:39:38.705188 : Epoch  9, Batch    337, Loss  0.521528, Average Loss  0.536192, Time  0.260779
2021-09-10 02:39:40.581153 : Epoch  9, Batch    338, Loss  0.551946, Average Loss  0.536232, Time  0.265521
2021-09-10 02:39:42.483026 : Epoch  9, Batch    339, Loss  0.543785, Average Loss  0.536287, Time  0.260875
2021-09-10 02:39:44.404061 : Epoch  9, Batch    340, Loss  0.538561, Average Loss  0.536324, Time  0.260082
2021-09-10 02:39:46.316781 : Epoch  9, Batch    341, Loss  0.530129, Average Loss  0.536365, Time  0.258124
2021-09-10 02:39:48.232060 : Epoch  9, Batch    342, Loss  0.552435, Average Loss  0.536468, Time  0.258342
2021-09-10 02:39:50.145812 : Epoch  9, Batch    343, Loss  0.539185, Average Loss  0.536578, Time  0.257835
2021-09-10 02:39:52.062076 : Epoch  9, Batch    344, Loss  0.537778, Average Loss  0.536542, Time  0.257899
2021-09-10 02:39:53.948870 : Epoch  9, Batch    345, Loss  0.537888, Average Loss  0.536472, Time  0.257709
2021-09-10 02:39:55.844080 : Epoch  9, Batch    346, Loss  0.538468, Average Loss  0.536398, Time  0.257907
2021-09-10 02:39:57.762066 : Epoch  9, Batch    347, Loss  0.532824, Average Loss  0.536399, Time  0.257906
2021-09-10 02:39:59.669801 : Epoch  9, Batch    348, Loss  0.543844, Average Loss  0.536402, Time  0.260549
2021-09-10 02:40:01.585755 : Epoch  9, Batch    349, Loss  0.523187, Average Loss  0.536297, Time  0.258352
2021-09-10 02:40:03.470141 : Epoch  9, Batch    350, Loss  0.530960, Average Loss  0.536268, Time  0.260088
2021-09-10 02:40:05.376833 : Epoch  9, Batch    351, Loss  0.547538, Average Loss  0.536369, Time  0.258213
2021-09-10 02:40:07.255772 : Epoch  9, Batch    352, Loss  0.529946, Average Loss  0.536371, Time  0.265292
2021-09-10 02:40:09.156897 : Epoch  9, Batch    353, Loss  0.537740, Average Loss  0.536286, Time  0.262693
2021-09-10 02:40:11.027074 : Epoch  9, Batch    354, Loss  0.540442, Average Loss  0.536250, Time  0.261112
2021-09-10 02:40:12.913800 : Epoch  9, Batch    355, Loss  0.516819, Average Loss  0.536235, Time  0.264861
2021-09-10 02:40:14.799869 : Epoch  9, Batch    356, Loss  0.535316, Average Loss  0.536255, Time  0.264669
2021-09-10 02:40:16.685896 : Epoch  9, Batch    357, Loss  0.543086, Average Loss  0.536355, Time  0.258453
2021-09-10 02:40:18.553862 : Epoch  9, Batch    358, Loss  0.550155, Average Loss  0.536398, Time  0.262220
2021-09-10 02:40:20.447945 : Epoch  9, Batch    359, Loss  0.544024, Average Loss  0.536419, Time  0.264948
2021-09-10 02:40:22.323907 : Epoch  9, Batch    360, Loss  0.537463, Average Loss  0.536441, Time  0.261509
2021-09-10 02:40:24.188800 : Epoch  9, Batch    361, Loss  0.532367, Average Loss  0.536373, Time  0.265512
2021-09-10 02:40:26.082821 : Epoch  9, Batch    362, Loss  0.538558, Average Loss  0.536451, Time  0.265387
2021-09-10 02:40:27.980871 : Epoch  9, Batch    363, Loss  0.535272, Average Loss  0.536530, Time  0.260007
2021-09-10 02:40:29.899891 : Epoch  9, Batch    364, Loss  0.555419, Average Loss  0.536664, Time  0.258245
2021-09-10 02:40:31.809784 : Epoch  9, Batch    365, Loss  0.531684, Average Loss  0.536660, Time  0.258004
2021-09-10 02:40:33.684860 : Epoch  9, Batch    366, Loss  0.537306, Average Loss  0.536609, Time  0.263586
2021-09-10 02:40:35.555789 : Epoch  9, Batch    367, Loss  0.531933, Average Loss  0.536551, Time  0.261169
2021-09-10 02:40:37.444087 : Epoch  9, Batch    368, Loss  0.535158, Average Loss  0.536488, Time  0.265560
2021-09-10 02:40:39.336837 : Epoch  9, Batch    369, Loss  0.531842, Average Loss  0.536433, Time  0.257991
2021-09-10 02:40:41.255838 : Epoch  9, Batch    370, Loss  0.548624, Average Loss  0.536542, Time  0.257897
2021-09-10 02:40:43.142968 : Epoch  9, Batch    371, Loss  0.520168, Average Loss  0.536404, Time  0.258215
2021-09-10 02:40:45.016822 : Epoch  9, Batch    372, Loss  0.534135, Average Loss  0.536367, Time  0.262614
2021-09-10 02:40:46.910860 : Epoch  9, Batch    373, Loss  0.544231, Average Loss  0.536392, Time  0.258166
2021-09-10 02:40:48.816815 : Epoch  9, Batch    374, Loss  0.551031, Average Loss  0.536493, Time  0.257625
2021-09-10 02:40:52.901784 : Epoch  9, Batch    375, Loss  0.541295, Average Loss  0.536518, Time  0.263736
2021-09-10 02:40:54.811837 : Epoch  9, Batch    376, Loss  0.542243, Average Loss  0.536539, Time  0.258540
2021-09-10 02:40:56.703844 : Epoch  9, Batch    377, Loss  0.538870, Average Loss  0.536509, Time  0.265792
2021-09-10 02:40:58.612096 : Epoch  9, Batch    378, Loss  0.527373, Average Loss  0.536447, Time  0.273987
2021-09-10 02:41:00.505813 : Epoch  9, Batch    379, Loss  0.544428, Average Loss  0.536440, Time  0.257819
2021-09-10 02:41:02.416948 : Epoch  9, Batch    380, Loss  0.541570, Average Loss  0.536520, Time  0.260178
2021-09-10 02:41:04.332941 : Epoch  9, Batch    381, Loss  0.531462, Average Loss  0.536496, Time  0.258607
2021-09-10 02:41:06.254808 : Epoch  9, Batch    382, Loss  0.548121, Average Loss  0.536538, Time  0.258102
2021-09-10 02:41:08.168781 : Epoch  9, Batch    383, Loss  0.530333, Average Loss  0.536474, Time  0.258590
2021-09-10 02:41:10.079132 : Epoch  9, Batch    384, Loss  0.528838, Average Loss  0.536485, Time  0.268543
2021-09-10 02:41:11.993852 : Epoch  9, Batch    385, Loss  0.539124, Average Loss  0.536438, Time  0.273431
2021-09-10 02:41:13.900111 : Epoch  9, Batch    386, Loss  0.546549, Average Loss  0.536530, Time  0.268891
2021-09-10 02:41:15.774847 : Epoch  9, Batch    387, Loss  0.536808, Average Loss  0.536515, Time  0.258438
2021-09-10 02:41:17.639810 : Epoch  9, Batch    388, Loss  0.542421, Average Loss  0.536605, Time  0.262954
2021-09-10 02:41:19.527895 : Epoch  9, Batch    389, Loss  0.541487, Average Loss  0.536683, Time  0.258378
2021-09-10 02:41:21.393800 : Epoch  9, Batch    390, Loss  0.524350, Average Loss  0.536661, Time  0.258933
2021-09-10 02:41:23.284776 : Epoch  9, Batch    391, Loss  0.545415, Average Loss  0.536780, Time  0.264744
2021-09-10 02:41:25.177070 : Epoch  9, Batch    392, Loss  0.527811, Average Loss  0.536717, Time  0.268774
2021-09-10 02:41:27.091779 : Epoch  9, Batch    393, Loss  0.532241, Average Loss  0.536761, Time  0.266124
2021-09-10 02:41:29.010871 : Epoch  9, Batch    394, Loss  0.539778, Average Loss  0.536805, Time  0.267226
2021-09-10 02:41:30.928893 : Epoch  9, Batch    395, Loss  0.530297, Average Loss  0.536731, Time  0.268915
2021-09-10 02:41:32.811780 : Epoch  9, Batch    396, Loss  0.516360, Average Loss  0.536696, Time  0.269610
2021-09-10 02:41:34.696897 : Epoch  9, Batch    397, Loss  0.529031, Average Loss  0.536658, Time  0.258196
2021-09-10 02:41:36.630851 : Epoch  9, Batch    398, Loss  0.529659, Average Loss  0.536669, Time  0.270965
2021-09-10 02:41:38.544071 : Epoch  9, Batch    399, Loss  0.539480, Average Loss  0.536669, Time  0.258216
2021-09-10 02:41:40.434763 : Epoch  9, Batch    400, Loss  0.542665, Average Loss  0.536693, Time  0.259534
2021-09-10 02:41:42.339790 : Epoch  9, Batch    401, Loss  0.530735, Average Loss  0.536758, Time  0.258309
2021-09-10 02:41:44.262769 : Epoch  9, Batch    402, Loss  0.530767, Average Loss  0.536746, Time  0.260457
2021-09-10 02:41:46.147820 : Epoch  9, Batch    403, Loss  0.541319, Average Loss  0.536709, Time  0.263500
2021-09-10 02:41:48.101892 : Epoch  9, Batch    404, Loss  0.529140, Average Loss  0.536658, Time  0.284591
2021-09-10 02:42:14.824725 : CheckPoint: Validation Loss  0.00058807, Best Loss  0.00056427
2021-09-10 02:42:16.717788 : Epoch  8, Batch   1924, Loss  0.848287, Average Loss  0.867404, Time  0.448353
2021-09-10 02:42:18.529780 : Epoch  8, Batch   1925, Loss  0.857220, Average Loss  0.867366, Time  0.365324
2021-09-10 02:42:20.325908 : Epoch  8, Batch   1926, Loss  0.861029, Average Loss  0.867436, Time  0.359074
2021-09-10 02:42:22.163780 : Epoch  8, Batch   1927, Loss  0.870905, Average Loss  0.867662, Time  0.407164
2021-09-10 02:42:24.046890 : Epoch  8, Batch   1928, Loss  0.825277, Average Loss  0.867473, Time  0.454845
2021-09-10 02:42:25.856789 : Epoch  8, Batch   1929, Loss  0.869924, Average Loss  0.867373, Time  0.359252
2021-09-10 02:42:27.656816 : Epoch  8, Batch   1930, Loss  0.887931, Average Loss  0.867533, Time  0.358847
2021-09-10 02:42:29.471192 : Epoch  8, Batch   1931, Loss  0.854494, Average Loss  0.867583, Time  0.363916
2021-09-10 02:42:31.377974 : Epoch  8, Batch   1932, Loss  0.841304, Average Loss  0.867548, Time  0.452479
2021-09-10 02:42:33.241425 : Epoch  8, Batch   1933, Loss  0.888078, Average Loss  0.867497, Time  0.416210
2021-09-10 02:42:35.048883 : Epoch  8, Batch   1934, Loss  0.856108, Average Loss  0.867484, Time  0.356831
2021-09-10 02:42:36.881114 : Epoch  8, Batch   1935, Loss  0.870306, Average Loss  0.867421, Time  0.357831
2021-09-10 02:42:38.795799 : Epoch  8, Batch   1936, Loss  0.882369, Average Loss  0.867654, Time  0.409459
2021-09-10 02:42:40.723219 : Epoch  8, Batch   1937, Loss  0.895229, Average Loss  0.867829, Time  0.455634
2021-09-10 02:42:42.612868 : Epoch  8, Batch   1938, Loss  0.881360, Average Loss  0.867874, Time  0.434631
2021-09-10 02:42:44.423098 : Epoch  8, Batch   1939, Loss  0.847835, Average Loss  0.867629, Time  0.358687
2021-09-10 02:42:46.246185 : Epoch  8, Batch   1940, Loss  0.852736, Average Loss  0.867490, Time  0.356261
2021-09-10 02:42:48.105263 : Epoch  8, Batch   1941, Loss  0.866758, Average Loss  0.867415, Time  0.397485
2021-09-10 02:42:50.024018 : Epoch  8, Batch   1942, Loss  0.866528, Average Loss  0.867207, Time  0.451460
2021-09-10 02:42:51.894928 : Epoch  8, Batch   1943, Loss  0.847880, Average Loss  0.867093, Time  0.440874
2021-09-10 02:42:53.699982 : Epoch  8, Batch   1944, Loss  0.886451, Average Loss  0.867275, Time  0.366750
2021-09-10 02:42:55.500995 : Epoch  8, Batch   1945, Loss  0.841869, Average Loss  0.866902, Time  0.361011
2021-09-10 02:42:57.370864 : Epoch  8, Batch   1946, Loss  0.876480, Average Loss  0.867077, Time  0.423593
2021-09-10 02:42:58.274744 : CheckPoint: Validation Loss  0.00021720, Best Loss  0.00021720
2021-09-10 02:42:58.387631 : Best Model Updated
2021-09-10 02:42:59.274212 : Epoch  8, Batch   1947, Loss  0.869879, Average Loss  0.867063, Time  0.454485
2021-09-10 02:43:01.389792 : Epoch  8, Batch   1948, Loss  0.857639, Average Loss  0.867017, Time  0.452374
2021-09-10 02:43:01.421495 : Epoch  9, Batch    405, Loss  0.541990, Average Loss  0.536742, Time  0.263068
2021-09-10 02:43:03.187164 : Epoch  8, Batch   1949, Loss  0.865575, Average Loss  0.867091, Time  0.356064
2021-09-10 02:43:03.308968 : Epoch  9, Batch    406, Loss  0.532833, Average Loss  0.536823, Time  0.265380
2021-09-10 02:43:04.977802 : Epoch  8, Batch   1950, Loss  0.890638, Average Loss  0.867162, Time  0.355648
2021-09-10 02:43:05.182848 : Epoch  9, Batch    407, Loss  0.529673, Average Loss  0.536789, Time  0.258996
2021-09-10 02:43:06.790847 : Epoch  8, Batch   1951, Loss  0.840899, Average Loss  0.867081, Time  0.385292
2021-09-10 02:43:07.059877 : Epoch  9, Batch    408, Loss  0.554675, Average Loss  0.536874, Time  0.257884
2021-09-10 02:43:08.712392 : Epoch  8, Batch   1952, Loss  0.856419, Average Loss  0.866893, Time  0.450200
2021-09-10 02:43:08.964974 : Epoch  9, Batch    409, Loss  0.528651, Average Loss  0.536856, Time  0.258177
2021-09-10 02:43:10.549305 : Epoch  8, Batch   1953, Loss  0.842250, Average Loss  0.866699, Time  0.374022
2021-09-10 02:43:10.876047 : Epoch  9, Batch    410, Loss  0.538893, Average Loss  0.536813, Time  0.258000
2021-09-10 02:43:12.377767 : Epoch  8, Batch   1954, Loss  0.848199, Average Loss  0.866832, Time  0.359624
2021-09-10 02:43:12.793042 : Epoch  9, Batch    411, Loss  0.529979, Average Loss  0.536762, Time  0.257920
2021-09-10 02:43:14.180766 : Epoch  8, Batch   1955, Loss  0.845822, Average Loss  0.866647, Time  0.358189
2021-09-10 02:43:14.713883 : Epoch  9, Batch    412, Loss  0.531272, Average Loss  0.536706, Time  0.258129
2021-09-10 02:43:14.941842 : Epoch  9, Batch    413, Loss  0.381580, Average Loss  0.535911, Time  0.121218
2021-09-10 02:43:16.083908 : Epoch  8, Batch   1956, Loss  0.860135, Average Loss  0.866572, Time  0.440624
2021-09-10 02:43:16.856886 : Epoch  9, Batch    414, Loss  0.528646, Average Loss  0.535886, Time  0.258195
2021-09-10 02:43:17.994855 : Epoch  8, Batch   1957, Loss  0.877548, Average Loss  0.866795, Time  0.453252
2021-09-10 02:43:18.766810 : Epoch  9, Batch    415, Loss  0.535614, Average Loss  0.535836, Time  0.258110
2021-09-10 02:43:19.881812 : Epoch  8, Batch   1958, Loss  0.883353, Average Loss  0.866763, Time  0.415248
2021-09-10 02:43:20.650490 : Epoch  9, Batch    416, Loss  0.535358, Average Loss  0.535826, Time  0.258171
2021-09-10 02:43:21.681154 : Epoch  8, Batch   1959, Loss  0.882306, Average Loss  0.866833, Time  0.365367
2021-09-10 02:43:22.544786 : Epoch  9, Batch    417, Loss  0.535351, Average Loss  0.535798, Time  0.258242
2021-09-10 02:43:23.527148 : Epoch  8, Batch   1960, Loss  0.857762, Average Loss  0.866650, Time  0.358047
2021-09-10 02:43:24.459821 : Epoch  9, Batch    418, Loss  0.537574, Average Loss  0.535748, Time  0.258123
2021-09-10 02:43:25.388778 : Epoch  8, Batch   1961, Loss  0.874829, Average Loss  0.866692, Time  0.416690
2021-09-10 02:43:26.377857 : Epoch  9, Batch    419, Loss  0.544450, Average Loss  0.535801, Time  0.257782
2021-09-10 02:43:27.283875 : Epoch  8, Batch   1962, Loss  0.843457, Average Loss  0.866583, Time  0.456446
2021-09-10 02:43:28.284794 : Epoch  9, Batch    420, Loss  0.539676, Average Loss  0.535863, Time  0.258287
2021-09-10 02:43:29.062783 : Epoch  8, Batch   1963, Loss  0.884130, Average Loss  0.866584, Time  0.350434
2021-09-10 02:43:30.205877 : Epoch  9, Batch    421, Loss  0.534983, Average Loss  0.535791, Time  0.258833
2021-09-10 02:43:30.870112 : Epoch  8, Batch   1964, Loss  0.865768, Average Loss  0.866550, Time  0.356615
2021-09-10 02:43:32.098920 : Epoch  9, Batch    422, Loss  0.542607, Average Loss  0.535899, Time  0.257847
2021-09-10 02:43:32.675773 : Epoch  8, Batch   1965, Loss  0.857749, Average Loss  0.866257, Time  0.367343
2021-09-10 02:43:34.024776 : Epoch  9, Batch    423, Loss  0.547634, Average Loss  0.535872, Time  0.260339
2021-09-10 02:43:34.571130 : Epoch  8, Batch   1966, Loss  0.853167, Average Loss  0.866164, Time  0.448833
2021-09-10 02:43:35.940816 : Epoch  9, Batch    424, Loss  0.535090, Average Loss  0.535815, Time  0.258089
2021-09-10 02:43:36.476829 : Epoch  8, Batch   1967, Loss  0.836944, Average Loss  0.866025, Time  0.424106
2021-09-10 02:43:37.857860 : Epoch  9, Batch    425, Loss  0.536393, Average Loss  0.535863, Time  0.257670
2021-09-10 02:43:38.301850 : Epoch  8, Batch   1968, Loss  0.852546, Average Loss  0.865956, Time  0.365032
2021-09-10 02:43:39.803845 : Epoch  9, Batch    426, Loss  0.524590, Average Loss  0.535798, Time  0.258639
2021-09-10 02:43:40.078769 : Epoch  8, Batch   1969, Loss  0.870677, Average Loss  0.865931, Time  0.365321
2021-09-10 02:43:41.701893 : Epoch  9, Batch    427, Loss  0.540688, Average Loss  0.535861, Time  0.258184
2021-09-10 02:43:41.924915 : Epoch  8, Batch   1970, Loss  0.864894, Average Loss  0.865973, Time  0.425541
2021-09-10 02:43:43.612088 : Epoch  9, Batch    428, Loss  0.540434, Average Loss  0.535922, Time  0.258985
2021-09-10 02:43:43.818781 : Epoch  8, Batch   1971, Loss  0.868668, Average Loss  0.865937, Time  0.451156
2021-09-10 02:43:45.495839 : Epoch  9, Batch    429, Loss  0.541326, Average Loss  0.535958, Time  0.266045
2021-09-10 02:43:45.618134 : Epoch  8, Batch   1972, Loss  0.868369, Average Loss  0.865819, Time  0.356508
2021-09-10 02:43:47.369831 : Epoch  9, Batch    430, Loss  0.534678, Average Loss  0.535900, Time  0.258966
2021-09-10 02:43:47.417792 : Epoch  8, Batch   1973, Loss  0.843563, Average Loss  0.865701, Time  0.358068
2021-09-10 02:43:49.244280 : Epoch  8, Batch   1974, Loss  0.858562, Average Loss  0.865600, Time  0.395941
2021-09-10 02:43:49.287858 : Epoch  9, Batch    431, Loss  0.541101, Average Loss  0.535910, Time  0.258934
2021-09-10 02:43:51.169961 : Epoch  9, Batch    432, Loss  0.525620, Average Loss  0.535850, Time  0.266106
2021-09-10 02:43:51.217756 : Epoch  8, Batch   1975, Loss  0.880836, Average Loss  0.865777, Time  0.473504
2021-09-10 02:43:53.073092 : Epoch  9, Batch    433, Loss  0.544890, Average Loss  0.535870, Time  0.260610
2021-09-10 02:43:53.116280 : Epoch  8, Batch   1976, Loss  0.856128, Average Loss  0.865730, Time  0.451279
2021-09-10 02:43:54.963782 : Epoch  8, Batch   1977, Loss  0.888753, Average Loss  0.865697, Time  0.381755
2021-09-10 02:43:55.006774 : Epoch  9, Batch    434, Loss  0.546976, Average Loss  0.535879, Time  0.262386
2021-09-10 02:43:56.791135 : Epoch  8, Batch   1978, Loss  0.874610, Average Loss  0.865667, Time  0.358272
2021-09-10 02:43:56.905793 : Epoch  9, Batch    435, Loss  0.541391, Average Loss  0.535896, Time  0.258964
2021-09-10 02:43:58.595730 : Epoch  8, Batch   1979, Loss  0.892231, Average Loss  0.865701, Time  0.389715
2021-09-10 02:43:58.776072 : Epoch  9, Batch    436, Loss  0.530385, Average Loss  0.535815, Time  0.261233
2021-09-10 02:44:00.473803 : Epoch  8, Batch   1980, Loss  0.863816, Average Loss  0.865696, Time  0.450965
2021-09-10 02:44:00.660757 : Epoch  9, Batch    437, Loss  0.536869, Average Loss  0.535850, Time  0.258240
2021-09-10 02:44:02.281821 : Epoch  8, Batch   1981, Loss  0.862073, Average Loss  0.865643, Time  0.355838
2021-09-10 02:44:02.536095 : Epoch  9, Batch    438, Loss  0.539101, Average Loss  0.535833, Time  0.258105
2021-09-10 02:44:04.091088 : Epoch  8, Batch   1982, Loss  0.843125, Average Loss  0.865618, Time  0.357844
2021-09-10 02:44:04.393863 : Epoch  9, Batch    439, Loss  0.528260, Average Loss  0.535776, Time  0.259951
2021-09-10 02:44:05.904259 : Epoch  8, Batch   1983, Loss  0.865272, Average Loss  0.865636, Time  0.370386
2021-09-10 02:44:06.267764 : Epoch  9, Batch    440, Loss  0.531589, Average Loss  0.535744, Time  0.266706
2021-09-10 02:44:07.809100 : Epoch  8, Batch   1984, Loss  0.856378, Average Loss  0.865555, Time  0.452281
2021-09-10 02:44:08.151095 : Epoch  9, Batch    441, Loss  0.517762, Average Loss  0.535635, Time  0.258341
2021-09-10 02:44:09.672773 : Epoch  8, Batch   1985, Loss  0.873416, Average Loss  0.865675, Time  0.411869
2021-09-10 02:44:10.039933 : Epoch  9, Batch    442, Loss  0.530546, Average Loss  0.535614, Time  0.258488
2021-09-10 02:44:11.495174 : Epoch  8, Batch   1986, Loss  0.873225, Average Loss  0.865839, Time  0.356287
2021-09-10 02:44:11.921838 : Epoch  9, Batch    443, Loss  0.532668, Average Loss  0.535612, Time  0.263413
2021-09-10 02:44:13.302072 : Epoch  8, Batch   1987, Loss  0.896879, Average Loss  0.865962, Time  0.357274
2021-09-10 02:44:13.821785 : Epoch  9, Batch    444, Loss  0.538419, Average Loss  0.535613, Time  0.257993
2021-09-10 02:44:15.134768 : Epoch  8, Batch   1988, Loss  0.858699, Average Loss  0.865809, Time  0.420734
2021-09-10 02:44:15.748915 : Epoch  9, Batch    445, Loss  0.541637, Average Loss  0.535662, Time  0.258486
2021-09-10 02:44:17.011126 : Epoch  8, Batch   1989, Loss  0.877614, Average Loss  0.865812, Time  0.456592
2021-09-10 02:44:17.654901 : Epoch  9, Batch    446, Loss  0.536453, Average Loss  0.535661, Time  0.258370
2021-09-10 02:44:18.818955 : Epoch  8, Batch   1990, Loss  0.862546, Average Loss  0.865753, Time  0.356318
2021-09-10 02:44:19.563832 : Epoch  9, Batch    447, Loss  0.522615, Average Loss  0.535582, Time  0.258430
2021-09-10 02:44:20.614131 : Epoch  8, Batch   1991, Loss  0.877073, Average Loss  0.865740, Time  0.356752
2021-09-10 02:44:21.466788 : Epoch  9, Batch    448, Loss  0.517420, Average Loss  0.535568, Time  0.258491
2021-09-10 02:44:22.432288 : Epoch  8, Batch   1992, Loss  0.864799, Average Loss  0.865718, Time  0.366112
2021-09-10 02:44:23.378765 : Epoch  9, Batch    449, Loss  0.525786, Average Loss  0.535481, Time  0.257884
2021-09-10 02:44:24.343875 : Epoch  8, Batch   1993, Loss  0.880527, Average Loss  0.865774, Time  0.464016
2021-09-10 02:44:25.280817 : Epoch  9, Batch    450, Loss  0.525747, Average Loss  0.535443, Time  0.257690
2021-09-10 02:44:26.209129 : Epoch  8, Batch   1994, Loss  0.879429, Average Loss  0.865736, Time  0.421051
2021-09-10 02:44:27.180836 : Epoch  9, Batch    451, Loss  0.533940, Average Loss  0.535439, Time  0.257681
2021-09-10 02:44:28.005783 : Epoch  8, Batch   1995, Loss  0.870953, Average Loss  0.865812, Time  0.367302
2021-09-10 02:44:29.086924 : Epoch  9, Batch    452, Loss  0.527830, Average Loss  0.535363, Time  0.258073
2021-09-10 02:44:29.793909 : Epoch  8, Batch   1996, Loss  0.879839, Average Loss  0.865899, Time  0.357055
2021-09-10 02:44:30.996060 : Epoch  9, Batch    453, Loss  0.540477, Average Loss  0.535371, Time  0.258109
2021-09-10 02:44:31.651118 : Epoch  8, Batch   1997, Loss  0.891826, Average Loss  0.866077, Time  0.444809
2021-09-10 02:44:32.904903 : Epoch  9, Batch    454, Loss  0.540573, Average Loss  0.535374, Time  0.261024
2021-09-10 02:44:33.527834 : Epoch  8, Batch   1998, Loss  0.870334, Average Loss  0.865919, Time  0.456346
2021-09-10 02:44:34.820877 : Epoch  9, Batch    455, Loss  0.539762, Average Loss  0.535438, Time  0.258417
2021-09-10 02:44:35.329782 : Epoch  8, Batch   1999, Loss  0.874413, Average Loss  0.865786, Time  0.380537
2021-09-10 02:44:36.727885 : Epoch  9, Batch    456, Loss  0.536302, Average Loss  0.535422, Time  0.257891
2021-09-10 02:44:37.122965 : Epoch  8, Batch   2000, Loss  0.850496, Average Loss  0.865652, Time  0.358965
2021-09-10 02:44:38.653280 : Epoch  9, Batch    457, Loss  0.541197, Average Loss  0.535431, Time  0.259488
2021-09-10 02:44:38.941778 : Epoch  8, Batch   2001, Loss  0.868413, Average Loss  0.865640, Time  0.382539
2021-09-10 02:44:40.532824 : Epoch  9, Batch    458, Loss  0.549272, Average Loss  0.535509, Time  0.258889
2021-09-10 02:44:40.894366 : Epoch  8, Batch   2002, Loss  0.893985, Average Loss  0.865664, Time  0.536822
2021-09-10 02:44:42.472768 : Epoch  9, Batch    459, Loss  0.533272, Average Loss  0.535542, Time  0.258267
2021-09-10 02:44:42.757763 : Epoch  8, Batch   2003, Loss  0.862543, Average Loss  0.865671, Time  0.425374
2021-09-10 02:44:44.345830 : Epoch  9, Batch    460, Loss  0.535696, Average Loss  0.535535, Time  0.259092
2021-09-10 02:44:44.578301 : Epoch  8, Batch   2004, Loss  0.873760, Average Loss  0.865934, Time  0.379829
2021-09-10 02:44:46.233866 : Epoch  9, Batch    461, Loss  0.539167, Average Loss  0.535502, Time  0.259601
2021-09-10 02:44:46.363757 : Epoch  8, Batch   2005, Loss  0.872359, Average Loss  0.866051, Time  0.364519
2021-09-10 02:44:48.153935 : Epoch  9, Batch    462, Loss  0.542314, Average Loss  0.535607, Time  0.268770
2021-09-10 02:44:48.209624 : Epoch  8, Batch   2006, Loss  0.874675, Average Loss  0.866106, Time  0.426702
2021-09-10 02:44:50.070161 : Epoch  9, Batch    463, Loss  0.536232, Average Loss  0.535608, Time  0.258794
2021-09-10 02:44:50.104747 : Epoch  8, Batch   2007, Loss  0.901084, Average Loss  0.866272, Time  0.449640
2021-09-10 02:44:51.890150 : Epoch  8, Batch   2008, Loss  0.844848, Average Loss  0.866110, Time  0.356797
2021-09-10 02:44:51.957977 : Epoch  9, Batch    464, Loss  0.540681, Average Loss  0.535636, Time  0.258971
2021-09-10 02:44:53.686791 : Epoch  8, Batch   2009, Loss  0.881854, Average Loss  0.866229, Time  0.360610
2021-09-10 02:44:53.847780 : Epoch  9, Batch    465, Loss  0.536842, Average Loss  0.535612, Time  0.263563
2021-09-10 02:44:55.480219 : Epoch  8, Batch   2010, Loss  0.845519, Average Loss  0.866135, Time  0.368496
2021-09-10 02:44:55.727796 : Epoch  9, Batch    466, Loss  0.536908, Average Loss  0.535588, Time  0.267441
2021-09-10 02:44:57.366784 : Epoch  8, Batch   2011, Loss  0.874772, Average Loss  0.866268, Time  0.457795
2021-09-10 02:44:57.604815 : Epoch  9, Batch    467, Loss  0.539676, Average Loss  0.535590, Time  0.258452
2021-09-10 02:44:59.164849 : Epoch  8, Batch   2012, Loss  0.876327, Average Loss  0.866357, Time  0.357888
2021-09-10 02:44:59.483789 : Epoch  9, Batch    468, Loss  0.531791, Average Loss  0.535588, Time  0.264734
2021-09-10 02:45:00.943774 : Epoch  8, Batch   2013, Loss  0.841518, Average Loss  0.866261, Time  0.364570
2021-09-10 02:45:01.391149 : Epoch  9, Batch    469, Loss  0.550764, Average Loss  0.535676, Time  0.258447
2021-09-10 02:45:02.738829 : Epoch  8, Batch   2014, Loss  0.877757, Average Loss  0.866203, Time  0.365480
2021-09-10 02:45:03.283904 : Epoch  9, Batch    470, Loss  0.537690, Average Loss  0.535751, Time  0.259309
2021-09-10 02:45:04.635765 : Epoch  8, Batch   2015, Loss  0.869705, Average Loss  0.866277, Time  0.450332
2021-09-10 02:45:05.191779 : Epoch  9, Batch    471, Loss  0.543300, Average Loss  0.535805, Time  0.258270
2021-09-10 02:45:06.432805 : Epoch  8, Batch   2016, Loss  0.864475, Average Loss  0.866247, Time  0.346385
2021-09-10 02:45:07.243935 : Epoch  9, Batch    472, Loss  0.526244, Average Loss  0.535778, Time  0.258160
2021-09-10 02:45:08.385534 : Epoch  8, Batch   2017, Loss  0.845049, Average Loss  0.866051, Time  0.364283
2021-09-10 02:45:09.155940 : Epoch  9, Batch    473, Loss  0.543187, Average Loss  0.535798, Time  0.258039
2021-09-10 02:45:10.170148 : Epoch  8, Batch   2018, Loss  0.883866, Average Loss  0.866089, Time  0.368053
2021-09-10 02:45:11.061787 : Epoch  9, Batch    474, Loss  0.550675, Average Loss  0.535819, Time  0.258604
2021-09-10 02:45:12.059770 : Epoch  8, Batch   2019, Loss  0.846308, Average Loss  0.866055, Time  0.462388
2021-09-10 02:45:12.956770 : Epoch  9, Batch    475, Loss  0.535127, Average Loss  0.535906, Time  0.259889
2021-09-10 02:45:13.941311 : Epoch  8, Batch   2020, Loss  0.872533, Average Loss  0.866031, Time  0.457195
2021-09-10 02:45:15.748775 : Epoch  8, Batch   2021, Loss  0.835502, Average Loss  0.865648, Time  0.360961
2021-09-10 02:45:16.991066 : Epoch  9, Batch    476, Loss  0.546673, Average Loss  0.535971, Time  0.273503
2021-09-10 02:45:17.545846 : Epoch  8, Batch   2022, Loss  0.867703, Average Loss  0.865507, Time  0.361341
2021-09-10 02:45:18.902780 : Epoch  9, Batch    477, Loss  0.546701, Average Loss  0.536000, Time  0.259114
2021-09-10 02:45:20.863072 : Epoch  9, Batch    478, Loss  0.545231, Average Loss  0.536052, Time  0.261883
2021-09-10 02:45:22.808991 : Epoch  9, Batch    479, Loss  0.536870, Average Loss  0.536038, Time  0.262184
2021-09-10 02:45:24.708924 : Epoch  9, Batch    480, Loss  0.549449, Average Loss  0.536140, Time  0.258124
2021-09-10 02:45:24.820777 : Epoch  8, Batch   2023, Loss  0.873581, Average Loss  0.865611, Time  0.374942
2021-09-10 02:45:26.610989 : Epoch  9, Batch    481, Loss  0.535867, Average Loss  0.536157, Time  0.261720
2021-09-10 02:45:28.543356 : Epoch  9, Batch    482, Loss  0.532613, Average Loss  0.536141, Time  0.261346
2021-09-10 02:45:30.477811 : Epoch  9, Batch    483, Loss  0.515617, Average Loss  0.536075, Time  0.259953
2021-09-10 02:45:32.374807 : Epoch  9, Batch    484, Loss  0.549296, Average Loss  0.536151, Time  0.258247
2021-09-10 02:45:34.281841 : Epoch  9, Batch    485, Loss  0.538811, Average Loss  0.536162, Time  0.258861
2021-09-10 02:45:36.197780 : Epoch  9, Batch    486, Loss  0.535964, Average Loss  0.536137, Time  0.258410
2021-09-10 02:45:38.096782 : Epoch  9, Batch    487, Loss  0.544214, Average Loss  0.536193, Time  0.260182
2021-09-10 02:45:39.998892 : Epoch  9, Batch    488, Loss  0.529573, Average Loss  0.536158, Time  0.258660
2021-09-10 02:45:41.930784 : Epoch  9, Batch    489, Loss  0.535945, Average Loss  0.536175, Time  0.258307
2021-09-10 02:45:43.824821 : Epoch  9, Batch    490, Loss  0.527480, Average Loss  0.536074, Time  0.258174
2021-09-10 02:45:45.744933 : Epoch  9, Batch    491, Loss  0.540348, Average Loss  0.536095, Time  0.257902
2021-09-10 02:45:47.654060 : Epoch  9, Batch    492, Loss  0.540387, Average Loss  0.536102, Time  0.257766
2021-09-10 02:45:49.559778 : Epoch  9, Batch    493, Loss  0.537213, Average Loss  0.536186, Time  0.258547
2021-09-10 02:45:51.469064 : Epoch  9, Batch    494, Loss  0.531453, Average Loss  0.536133, Time  0.258191
2021-09-10 02:45:53.366838 : Epoch  9, Batch    495, Loss  0.528611, Average Loss  0.536163, Time  0.258307
2021-09-10 02:45:55.256847 : Epoch  9, Batch    496, Loss  0.545077, Average Loss  0.536130, Time  0.260413
2021-09-10 02:45:57.168772 : Epoch  9, Batch    497, Loss  0.532753, Average Loss  0.536169, Time  0.258286
2021-09-10 02:45:59.078882 : Epoch  9, Batch    498, Loss  0.534119, Average Loss  0.536153, Time  0.258400
2021-09-10 02:46:00.995778 : Epoch  9, Batch    499, Loss  0.534580, Average Loss  0.536160, Time  0.258859
2021-09-10 02:46:02.898070 : Epoch  9, Batch    500, Loss  0.538292, Average Loss  0.536154, Time  0.257895
2021-09-10 02:46:04.799911 : Epoch  9, Batch    501, Loss  0.537234, Average Loss  0.536076, Time  0.258305
2021-09-10 02:46:06.672981 : Epoch  9, Batch    502, Loss  0.528910, Average Loss  0.536037, Time  0.260295
2021-09-10 02:46:08.569607 : Epoch  9, Batch    503, Loss  0.538592, Average Loss  0.536047, Time  0.258199
2021-09-10 02:46:10.452906 : Epoch  9, Batch    504, Loss  0.531323, Average Loss  0.536054, Time  0.263148
2021-09-10 02:47:20.147759 : CheckPoint: Validation Loss  0.00022476, Best Loss  0.00021720
2021-09-10 02:47:22.066840 : Epoch  9, Batch    505, Loss  0.538336, Average Loss  0.536051, Time  0.271009
2021-09-10 02:47:23.949771 : Epoch  9, Batch    506, Loss  0.535867, Average Loss  0.536022, Time  0.258510
2021-09-10 02:47:25.823799 : Epoch  9, Batch    507, Loss  0.536722, Average Loss  0.536011, Time  0.260586
2021-09-10 02:47:27.702799 : Epoch  9, Batch    508, Loss  0.538547, Average Loss  0.536064, Time  0.260559
2021-09-10 02:47:29.585072 : Epoch  9, Batch    509, Loss  0.531663, Average Loss  0.536105, Time  0.258653
2021-09-10 02:47:31.482135 : Epoch  9, Batch    510, Loss  0.541947, Average Loss  0.536174, Time  0.262752
2021-09-10 02:47:33.374834 : Epoch  9, Batch    511, Loss  0.528172, Average Loss  0.536132, Time  0.258596
2021-09-10 02:47:35.290937 : Epoch  9, Batch    512, Loss  0.530805, Average Loss  0.536142, Time  0.258764
2021-09-10 02:47:37.199026 : Epoch  9, Batch    513, Loss  0.539426, Average Loss  0.536180, Time  0.258404
2021-09-10 02:47:39.105221 : Epoch  9, Batch    514, Loss  0.540064, Average Loss  0.536133, Time  0.258780
2021-09-10 02:47:41.015076 : Epoch  9, Batch    515, Loss  0.547443, Average Loss  0.536189, Time  0.258088
2021-09-10 02:47:42.892840 : Epoch  9, Batch    516, Loss  0.545740, Average Loss  0.536281, Time  0.267381
2021-09-10 02:47:44.810124 : Epoch  9, Batch    517, Loss  0.537561, Average Loss  0.536304, Time  0.269365
2021-09-10 02:47:46.711356 : Epoch  9, Batch    518, Loss  0.531572, Average Loss  0.536228, Time  0.267333
2021-09-10 02:47:48.597786 : Epoch  9, Batch    519, Loss  0.538750, Average Loss  0.536312, Time  0.268098
2021-09-10 02:47:50.488888 : Epoch  9, Batch    520, Loss  0.522420, Average Loss  0.536274, Time  0.261491
2021-09-10 02:47:52.380803 : Epoch  9, Batch    521, Loss  0.521085, Average Loss  0.536147, Time  0.258558
2021-09-10 02:47:54.262964 : Epoch  9, Batch    522, Loss  0.532232, Average Loss  0.536104, Time  0.262046
2021-09-10 02:47:56.142767 : Epoch  9, Batch    523, Loss  0.540506, Average Loss  0.536132, Time  0.261954
2021-09-10 02:47:58.024078 : Epoch  9, Batch    524, Loss  0.531656, Average Loss  0.536092, Time  0.259326
2021-09-10 02:47:59.913870 : Epoch  9, Batch    525, Loss  0.531830, Average Loss  0.536097, Time  0.258440
2021-09-10 02:48:01.792812 : Epoch  9, Batch    526, Loss  0.526998, Average Loss  0.536001, Time  0.263809
2021-09-10 02:48:03.679805 : Epoch  9, Batch    527, Loss  0.537100, Average Loss  0.535972, Time  0.264625
2021-09-10 02:48:05.545779 : Epoch  9, Batch    528, Loss  0.529632, Average Loss  0.535908, Time  0.262619
2021-09-10 02:48:07.414794 : Epoch  9, Batch    529, Loss  0.539494, Average Loss  0.535864, Time  0.258695
2021-09-10 02:48:09.308862 : Epoch  9, Batch    530, Loss  0.531265, Average Loss  0.535811, Time  0.267169
2021-09-10 02:48:11.193094 : Epoch  9, Batch    531, Loss  0.532619, Average Loss  0.535774, Time  0.258270
2021-09-10 02:48:13.098064 : Epoch  9, Batch    532, Loss  0.547269, Average Loss  0.535772, Time  0.257922
2021-09-10 02:48:15.014833 : Epoch  9, Batch    533, Loss  0.533104, Average Loss  0.535749, Time  0.258322
2021-09-10 02:48:16.932118 : Epoch  9, Batch    534, Loss  0.517693, Average Loss  0.535608, Time  0.258663
2021-09-10 02:48:18.842768 : Epoch  9, Batch    535, Loss  0.532111, Average Loss  0.535568, Time  0.258064
2021-09-10 02:48:20.816055 : Epoch  9, Batch    536, Loss  0.527794, Average Loss  0.535491, Time  0.258253
2021-09-10 02:48:22.747819 : Epoch  9, Batch    537, Loss  0.540623, Average Loss  0.535586, Time  0.258717
2021-09-10 02:48:24.669093 : Epoch  9, Batch    538, Loss  0.551200, Average Loss  0.535583, Time  0.258137
2021-09-10 02:48:26.591849 : Epoch  9, Batch    539, Loss  0.545556, Average Loss  0.535591, Time  0.258181
2021-09-10 02:48:28.492788 : Epoch  9, Batch    540, Loss  0.544877, Average Loss  0.535623, Time  0.258089
2021-09-10 02:48:30.405145 : Epoch  9, Batch    541, Loss  0.537050, Average Loss  0.535658, Time  0.258227
2021-09-10 02:48:32.319060 : Epoch  9, Batch    542, Loss  0.526390, Average Loss  0.535527, Time  0.257875
2021-09-10 02:48:34.221902 : Epoch  9, Batch    543, Loss  0.528267, Average Loss  0.535473, Time  0.258142
2021-09-10 02:48:36.126780 : Epoch  9, Batch    544, Loss  0.535389, Average Loss  0.535461, Time  0.258287
2021-09-10 02:48:38.037096 : Epoch  9, Batch    545, Loss  0.536783, Average Loss  0.535455, Time  0.258439
2021-09-10 02:48:39.942824 : Epoch  9, Batch    546, Loss  0.543361, Average Loss  0.535480, Time  0.258386
2021-09-10 02:48:41.823869 : Epoch  9, Batch    547, Loss  0.542521, Average Loss  0.535528, Time  0.258648
2021-09-10 02:48:43.703866 : Epoch  9, Batch    548, Loss  0.542083, Average Loss  0.535519, Time  0.262236
2021-09-10 02:48:45.563086 : Epoch  9, Batch    549, Loss  0.534803, Average Loss  0.535577, Time  0.258422
2021-09-10 02:48:47.483798 : Epoch  9, Batch    550, Loss  0.529064, Average Loss  0.535568, Time  0.262635
2021-09-10 02:48:49.388842 : Epoch  9, Batch    551, Loss  0.534062, Average Loss  0.535501, Time  0.262224
2021-09-10 02:48:51.283797 : Epoch  9, Batch    552, Loss  0.531908, Average Loss  0.535510, Time  0.258344
2021-09-10 02:48:53.180969 : Epoch  9, Batch    553, Loss  0.539568, Average Loss  0.535520, Time  0.260399
2021-09-10 02:48:55.062777 : Epoch  9, Batch    554, Loss  0.529046, Average Loss  0.535463, Time  0.259953
2021-09-10 02:48:56.940775 : Epoch  9, Batch    555, Loss  0.517752, Average Loss  0.535467, Time  0.258471
2021-09-10 02:48:58.825908 : Epoch  9, Batch    556, Loss  0.535459, Average Loss  0.535468, Time  0.261991
2021-09-10 02:49:00.696826 : Epoch  9, Batch    557, Loss  0.535218, Average Loss  0.535429, Time  0.258569
2021-09-10 02:49:02.583120 : Epoch  9, Batch    558, Loss  0.534014, Average Loss  0.535348, Time  0.267683
2021-09-10 02:49:04.450799 : Epoch  9, Batch    559, Loss  0.546476, Average Loss  0.535360, Time  0.260086
2021-09-10 02:49:06.349880 : Epoch  9, Batch    560, Loss  0.528967, Average Loss  0.535318, Time  0.259098
2021-09-10 02:49:08.251842 : Epoch  9, Batch    561, Loss  0.534205, Average Loss  0.535327, Time  0.258431
2021-09-10 02:49:10.150772 : Epoch  9, Batch    562, Loss  0.528145, Average Loss  0.535275, Time  0.259412
2021-09-10 02:49:12.028764 : Epoch  9, Batch    563, Loss  0.525133, Average Loss  0.535224, Time  0.259754
2021-09-10 02:49:13.940131 : Epoch  9, Batch    564, Loss  0.525570, Average Loss  0.535075, Time  0.265204
2021-09-10 02:49:15.862772 : Epoch  9, Batch    565, Loss  0.529673, Average Loss  0.535065, Time  0.264555
2021-09-10 02:49:17.755096 : Epoch  9, Batch    566, Loss  0.540224, Average Loss  0.535079, Time  0.262703
2021-09-10 02:49:19.680787 : Epoch  9, Batch    567, Loss  0.529041, Average Loss  0.535065, Time  0.258309
2021-09-10 02:49:21.570875 : Epoch  9, Batch    568, Loss  0.531552, Average Loss  0.535047, Time  0.262030
2021-09-10 02:49:23.438864 : Epoch  9, Batch    569, Loss  0.530269, Average Loss  0.535039, Time  0.258050
2021-09-10 02:49:25.318010 : Epoch  9, Batch    570, Loss  0.547945, Average Loss  0.535036, Time  0.262128
2021-09-10 02:49:27.208784 : Epoch  9, Batch    571, Loss  0.526166, Average Loss  0.535066, Time  0.261787
2021-09-10 02:49:29.126111 : Epoch  9, Batch    572, Loss  0.532371, Average Loss  0.535057, Time  0.264754
2021-09-10 02:49:31.018870 : Epoch  9, Batch    573, Loss  0.531568, Average Loss  0.534994, Time  0.258675
2021-09-10 02:49:32.906082 : Epoch  9, Batch    574, Loss  0.527620, Average Loss  0.534877, Time  0.257963
2021-09-10 02:49:36.866836 : Epoch  9, Batch    575, Loss  0.538615, Average Loss  0.534863, Time  0.270847
2021-09-10 02:49:38.765090 : Epoch  9, Batch    576, Loss  0.533130, Average Loss  0.534818, Time  0.262717
2021-09-10 02:49:40.632837 : Epoch  9, Batch    577, Loss  0.525133, Average Loss  0.534749, Time  0.258570
2021-09-10 02:49:42.536799 : Epoch  9, Batch    578, Loss  0.538128, Average Loss  0.534803, Time  0.261063
2021-09-10 02:49:44.424093 : Epoch  9, Batch    579, Loss  0.531140, Average Loss  0.534736, Time  0.258302
2021-09-10 02:49:46.316082 : Epoch  9, Batch    580, Loss  0.537101, Average Loss  0.534714, Time  0.265327
2021-09-10 02:49:48.225885 : Epoch  9, Batch    581, Loss  0.534782, Average Loss  0.534730, Time  0.265204
2021-09-10 02:49:50.126095 : Epoch  9, Batch    582, Loss  0.537663, Average Loss  0.534678, Time  0.258242
2021-09-10 02:49:52.016081 : Epoch  9, Batch    583, Loss  0.541026, Average Loss  0.534732, Time  0.257978
2021-09-10 02:49:53.903857 : Epoch  9, Batch    584, Loss  0.538516, Average Loss  0.534780, Time  0.259876
2021-09-10 02:49:55.798736 : Epoch  9, Batch    585, Loss  0.508356, Average Loss  0.534626, Time  0.258168
2021-09-10 02:49:57.703070 : Epoch  9, Batch    586, Loss  0.535379, Average Loss  0.534570, Time  0.258344
2021-09-10 02:49:59.624923 : Epoch  9, Batch    587, Loss  0.517458, Average Loss  0.534474, Time  0.258371
2021-09-10 02:50:01.537789 : Epoch  9, Batch    588, Loss  0.529143, Average Loss  0.534407, Time  0.258404
2021-09-10 02:50:03.442842 : Epoch  9, Batch    589, Loss  0.538436, Average Loss  0.534392, Time  0.258324
2021-09-10 02:50:05.338777 : Epoch  9, Batch    590, Loss  0.555006, Average Loss  0.534545, Time  0.258059
2021-09-10 02:50:07.215060 : Epoch  9, Batch    591, Loss  0.536676, Average Loss  0.534502, Time  0.257848
2021-09-10 02:50:09.104119 : Epoch  9, Batch    592, Loss  0.553579, Average Loss  0.534630, Time  0.264381
2021-09-10 02:50:10.963088 : Epoch  9, Batch    593, Loss  0.543814, Average Loss  0.534688, Time  0.261096
2021-09-10 02:50:12.861803 : Epoch  9, Batch    594, Loss  0.535675, Average Loss  0.534668, Time  0.259685
2021-09-10 02:50:14.743874 : Epoch  9, Batch    595, Loss  0.538972, Average Loss  0.534711, Time  0.261822
2021-09-10 02:50:16.313733 : CheckPoint: Validation Loss  0.00060422, Best Loss  0.00056427
2021-09-10 02:50:16.613599 : Epoch  9, Batch    596, Loss  0.539330, Average Loss  0.534826, Time  0.258230
2021-09-10 02:50:18.181800 : Epoch  8, Batch   2024, Loss  0.859380, Average Loss  0.865692, Time  0.411144
2021-09-10 02:50:18.478965 : Epoch  9, Batch    597, Loss  0.534496, Average Loss  0.534853, Time  0.258310
2021-09-10 02:50:20.072770 : Epoch  8, Batch   2025, Loss  0.870540, Average Loss  0.865702, Time  0.450070
2021-09-10 02:50:20.352755 : Epoch  9, Batch    598, Loss  0.543470, Average Loss  0.534922, Time  0.258529
2021-09-10 02:50:21.863833 : Epoch  8, Batch   2026, Loss  0.827384, Average Loss  0.865646, Time  0.335733
2021-09-10 02:50:22.236764 : Epoch  9, Batch    599, Loss  0.527415, Average Loss  0.534862, Time  0.257730
2021-09-10 02:50:23.646780 : Epoch  8, Batch   2027, Loss  0.888523, Average Loss  0.865561, Time  0.365893
2021-09-10 02:50:24.130805 : Epoch  9, Batch    600, Loss  0.535508, Average Loss  0.534826, Time  0.258141
2021-09-10 02:50:25.420778 : Epoch  8, Batch   2028, Loss  0.880233, Average Loss  0.865670, Time  0.371583
2021-09-10 02:50:26.050832 : Epoch  9, Batch    601, Loss  0.539414, Average Loss  0.534870, Time  0.257998
2021-09-10 02:50:27.322782 : Epoch  8, Batch   2029, Loss  0.878914, Average Loss  0.865766, Time  0.463151
2021-09-10 02:50:27.961794 : Epoch  9, Batch    602, Loss  0.525110, Average Loss  0.534841, Time  0.258093
2021-09-10 02:50:29.273787 : Epoch  8, Batch   2030, Loss  0.845123, Average Loss  0.865642, Time  0.449873
2021-09-10 02:50:29.876910 : Epoch  9, Batch    603, Loss  0.521363, Average Loss  0.534742, Time  0.258250
2021-09-10 02:50:31.113043 : Epoch  8, Batch   2031, Loss  0.851264, Average Loss  0.865542, Time  0.370642
2021-09-10 02:50:31.773855 : Epoch  9, Batch    604, Loss  0.541322, Average Loss  0.534802, Time  0.257920
2021-09-10 02:50:32.912644 : Epoch  8, Batch   2032, Loss  0.877999, Average Loss  0.865713, Time  0.359980
2021-09-10 02:50:34.799137 : Epoch  8, Batch   2033, Loss  0.883618, Average Loss  0.865756, Time  0.388530
2021-09-10 02:50:36.677117 : Epoch  8, Batch   2034, Loss  0.835324, Average Loss  0.865741, Time  0.451157
2021-09-10 02:50:38.462108 : Epoch  8, Batch   2035, Loss  0.880026, Average Loss  0.865881, Time  0.361801
2021-09-10 02:50:40.240781 : Epoch  8, Batch   2036, Loss  0.872737, Average Loss  0.866014, Time  0.357605
2021-09-10 02:50:42.043608 : Epoch  8, Batch   2037, Loss  0.874796, Average Loss  0.865984, Time  0.376521
2021-09-10 02:50:43.953199 : Epoch  8, Batch   2038, Loss  0.897642, Average Loss  0.866128, Time  0.481951
2021-09-10 02:50:45.830788 : Epoch  8, Batch   2039, Loss  0.898872, Average Loss  0.866384, Time  0.435365
2021-09-10 02:50:47.618860 : Epoch  8, Batch   2040, Loss  0.861921, Average Loss  0.866353, Time  0.362721
2021-09-10 02:50:49.441153 : Epoch  8, Batch   2041, Loss  0.869148, Average Loss  0.866445, Time  0.357237
2021-09-10 02:50:51.302790 : Epoch  8, Batch   2042, Loss  0.886093, Average Loss  0.866540, Time  0.421942
2021-09-10 02:50:53.200807 : Epoch  8, Batch   2043, Loss  0.848903, Average Loss  0.866461, Time  0.465182
2021-09-10 02:50:54.991787 : Epoch  8, Batch   2044, Loss  0.875540, Average Loss  0.866470, Time  0.357266
2021-09-10 02:50:56.783365 : Epoch  8, Batch   2045, Loss  0.873248, Average Loss  0.866402, Time  0.357803
2021-09-10 02:50:58.606793 : Epoch  8, Batch   2046, Loss  0.858087, Average Loss  0.866512, Time  0.383393
2021-09-10 02:51:00.495124 : Epoch  8, Batch   2047, Loss  0.881874, Average Loss  0.866526, Time  0.449660
2021-09-10 02:51:02.269829 : Epoch  8, Batch   2048, Loss  0.893559, Average Loss  0.866650, Time  0.354712
2021-09-10 02:51:04.081793 : Epoch  8, Batch   2049, Loss  0.859388, Average Loss  0.866706, Time  0.360908
2021-09-10 02:51:05.896955 : Epoch  8, Batch   2050, Loss  0.897999, Average Loss  0.866911, Time  0.361554
2021-09-10 02:51:07.802919 : Epoch  8, Batch   2051, Loss  0.879072, Average Loss  0.866972, Time  0.458806
2021-09-10 02:51:09.651125 : Epoch  8, Batch   2052, Loss  0.866979, Average Loss  0.866875, Time  0.417203
2021-09-10 02:51:11.452976 : Epoch  8, Batch   2053, Loss  0.880106, Average Loss  0.866988, Time  0.365587
2021-09-10 02:51:13.231893 : Epoch  8, Batch   2054, Loss  0.843360, Average Loss  0.866826, Time  0.357796
2021-09-10 02:51:15.121881 : Epoch  8, Batch   2055, Loss  0.853895, Average Loss  0.866748, Time  0.452264
2021-09-10 02:51:17.034769 : Epoch  8, Batch   2056, Loss  0.888336, Average Loss  0.866871, Time  0.468805
2021-09-10 02:51:18.813822 : Epoch  8, Batch   2057, Loss  0.869289, Average Loss  0.866955, Time  0.351646
2021-09-10 02:51:20.598952 : Epoch  8, Batch   2058, Loss  0.862373, Average Loss  0.866910, Time  0.363994
2021-09-10 02:51:22.394773 : Epoch  8, Batch   2059, Loss  0.855735, Average Loss  0.866843, Time  0.374203
2021-09-10 02:51:24.278688 : Epoch  8, Batch   2060, Loss  0.863576, Average Loss  0.866902, Time  0.466722
2021-09-10 02:51:26.171851 : Epoch  8, Batch   2061, Loss  0.888056, Average Loss  0.866930, Time  0.429786
2021-09-10 02:51:27.956078 : Epoch  8, Batch   2062, Loss  0.843281, Average Loss  0.866797, Time  0.365395
2021-09-10 02:51:29.721703 : Epoch  8, Batch   2063, Loss  0.853832, Average Loss  0.866739, Time  0.357841
2021-09-10 02:51:31.564627 : Epoch  8, Batch   2064, Loss  0.862352, Average Loss  0.866690, Time  0.426286
2021-09-10 02:51:33.417781 : Epoch  8, Batch   2065, Loss  0.867864, Average Loss  0.866655, Time  0.452836
2021-09-10 02:51:35.208952 : Epoch  8, Batch   2066, Loss  0.871765, Average Loss  0.866722, Time  0.364219
2021-09-10 02:51:36.994802 : Epoch  8, Batch   2067, Loss  0.833308, Average Loss  0.866635, Time  0.366580
2021-09-10 02:51:38.815806 : Epoch  8, Batch   2068, Loss  0.879704, Average Loss  0.866503, Time  0.400199
2021-09-10 02:51:40.713786 : Epoch  8, Batch   2069, Loss  0.867000, Average Loss  0.866481, Time  0.457273
2021-09-10 02:51:41.335759 : CheckPoint: Validation Loss  0.00022862, Best Loss  0.00021720
2021-09-10 02:51:42.533098 : Epoch  8, Batch   2070, Loss  0.881076, Average Loss  0.866509, Time  0.368255
2021-09-10 02:51:43.251855 : Epoch  9, Batch    605, Loss  0.535424, Average Loss  0.534770, Time  0.266335
2021-09-10 02:51:44.314351 : Epoch  8, Batch   2071, Loss  0.906775, Average Loss  0.866733, Time  0.358703
2021-09-10 02:51:45.148778 : Epoch  9, Batch    606, Loss  0.545207, Average Loss  0.534831, Time  0.258267
2021-09-10 02:51:46.096323 : Epoch  8, Batch   2072, Loss  0.837373, Average Loss  0.866531, Time  0.370034
2021-09-10 02:51:47.028045 : Epoch  9, Batch    607, Loss  0.536129, Average Loss  0.534864, Time  0.258164
2021-09-10 02:51:47.985814 : Epoch  8, Batch   2073, Loss  0.875841, Average Loss  0.866717, Time  0.459966
2021-09-10 02:51:48.932132 : Epoch  9, Batch    608, Loss  0.534831, Average Loss  0.534765, Time  0.258703
2021-09-10 02:51:49.765665 : Epoch  8, Batch   2074, Loss  0.856395, Average Loss  0.866674, Time  0.358995
2021-09-10 02:51:50.845899 : Epoch  9, Batch    609, Loss  0.530654, Average Loss  0.534775, Time  0.258403
2021-09-10 02:51:51.541791 : Epoch  8, Batch   2075, Loss  0.873772, Average Loss  0.866795, Time  0.358345
2021-09-10 02:51:52.750813 : Epoch  9, Batch    610, Loss  0.527081, Average Loss  0.534716, Time  0.258504
2021-09-10 02:51:53.351211 : Epoch  8, Batch   2076, Loss  0.844563, Average Loss  0.866715, Time  0.391072
2021-09-10 02:51:54.649806 : Epoch  9, Batch    611, Loss  0.537965, Average Loss  0.534755, Time  0.258960
2021-09-10 02:51:55.244811 : Epoch  8, Batch   2077, Loss  0.867753, Average Loss  0.866863, Time  0.470537
2021-09-10 02:51:56.552911 : Epoch  9, Batch    612, Loss  0.549767, Average Loss  0.534848, Time  0.258177
2021-09-10 02:51:57.033755 : Epoch  8, Batch   2078, Loss  0.880392, Average Loss  0.866847, Time  0.364158
2021-09-10 02:51:58.455972 : Epoch  9, Batch    613, Loss  0.536871, Average Loss  0.535624, Time  0.258675
2021-09-10 02:51:58.784668 : Epoch  8, Batch   2079, Loss  0.876580, Average Loss  0.866926, Time  0.358387
2021-09-10 02:52:00.388896 : Epoch  9, Batch    614, Loss  0.543889, Average Loss  0.535701, Time  0.259364
2021-09-10 02:52:00.557864 : Epoch  8, Batch   2080, Loss  0.899201, Average Loss  0.867055, Time  0.379508
2021-09-10 02:52:02.271911 : Epoch  9, Batch    615, Loss  0.524337, Average Loss  0.535644, Time  0.258921
2021-09-10 02:52:02.450773 : Epoch  8, Batch   2081, Loss  0.839544, Average Loss  0.866778, Time  0.455719
2021-09-10 02:52:04.139339 : Epoch  9, Batch    616, Loss  0.522070, Average Loss  0.535578, Time  0.259207
2021-09-10 02:52:04.236627 : Epoch  8, Batch   2082, Loss  0.847326, Average Loss  0.866690, Time  0.357800
2021-09-10 02:52:06.030195 : Epoch  9, Batch    617, Loss  0.539987, Average Loss  0.535601, Time  0.258653
2021-09-10 02:52:06.060769 : Epoch  8, Batch   2083, Loss  0.893515, Average Loss  0.866811, Time  0.378642
2021-09-10 02:52:07.882821 : Epoch  8, Batch   2084, Loss  0.884130, Average Loss  0.866919, Time  0.384542
2021-09-10 02:52:07.919119 : Epoch  9, Batch    618, Loss  0.533286, Average Loss  0.535579, Time  0.258144
2021-09-10 02:52:09.764760 : Epoch  8, Batch   2085, Loss  0.871136, Average Loss  0.866982, Time  0.454720
2021-09-10 02:52:09.835089 : Epoch  9, Batch    619, Loss  0.530871, Average Loss  0.535512, Time  0.264185
2021-09-10 02:52:11.556964 : Epoch  8, Batch   2086, Loss  0.865544, Average Loss  0.867018, Time  0.361995
2021-09-10 02:52:11.712793 : Epoch  9, Batch    620, Loss  0.546116, Average Loss  0.535544, Time  0.270515
2021-09-10 02:52:13.344784 : Epoch  8, Batch   2087, Loss  0.845656, Average Loss  0.866898, Time  0.357772
2021-09-10 02:52:13.560748 : Epoch  9, Batch    621, Loss  0.528347, Average Loss  0.535511, Time  0.258659
2021-09-10 02:52:15.141945 : Epoch  8, Batch   2088, Loss  0.883362, Average Loss  0.866940, Time  0.384218
2021-09-10 02:52:15.423887 : Epoch  9, Batch    622, Loss  0.543380, Average Loss  0.535514, Time  0.259516
2021-09-10 02:52:17.009791 : Epoch  8, Batch   2089, Loss  0.833439, Average Loss  0.866722, Time  0.452545
2021-09-10 02:52:17.297781 : Epoch  9, Batch    623, Loss  0.519622, Average Loss  0.535374, Time  0.258433
2021-09-10 02:52:18.784967 : Epoch  8, Batch   2090, Loss  0.865292, Average Loss  0.866792, Time  0.367248
2021-09-10 02:52:19.171830 : Epoch  9, Batch    624, Loss  0.541311, Average Loss  0.535406, Time  0.258551
2021-09-10 02:52:20.540782 : Epoch  8, Batch   2091, Loss  0.876801, Average Loss  0.866909, Time  0.357328
2021-09-10 02:52:21.043770 : Epoch  9, Batch    625, Loss  0.542938, Average Loss  0.535438, Time  0.261993
2021-09-10 02:52:22.355120 : Epoch  8, Batch   2092, Loss  0.877609, Average Loss  0.866968, Time  0.400188
2021-09-10 02:52:22.913083 : Epoch  9, Batch    626, Loss  0.528600, Average Loss  0.535458, Time  0.264775
2021-09-10 02:52:24.223744 : Epoch  8, Batch   2093, Loss  0.839041, Average Loss  0.866799, Time  0.452386
2021-09-10 02:52:24.809768 : Epoch  9, Batch    627, Loss  0.536786, Average Loss  0.535439, Time  0.258030
2021-09-10 02:52:26.016130 : Epoch  8, Batch   2094, Loss  0.866995, Average Loss  0.866725, Time  0.376115
2021-09-10 02:52:26.724849 : Epoch  9, Batch    628, Loss  0.557074, Average Loss  0.535522, Time  0.263460
2021-09-10 02:52:27.807785 : Epoch  8, Batch   2095, Loss  0.874748, Average Loss  0.866688, Time  0.359971
2021-09-10 02:52:28.618792 : Epoch  9, Batch    629, Loss  0.519715, Average Loss  0.535414, Time  0.258688
2021-09-10 02:52:29.628274 : Epoch  8, Batch   2096, Loss  0.911644, Average Loss  0.866967, Time  0.404555
2021-09-10 02:52:30.527086 : Epoch  9, Batch    630, Loss  0.538017, Average Loss  0.535431, Time  0.276537
2021-09-10 02:52:31.504950 : Epoch  8, Batch   2097, Loss  0.854845, Average Loss  0.866929, Time  0.461974
2021-09-10 02:52:32.401091 : Epoch  9, Batch    631, Loss  0.535474, Average Loss  0.535403, Time  0.259602
2021-09-10 02:52:33.326305 : Epoch  8, Batch   2098, Loss  0.838261, Average Loss  0.866993, Time  0.366108
2021-09-10 02:52:34.324085 : Epoch  9, Batch    632, Loss  0.544255, Average Loss  0.535496, Time  0.259588
2021-09-10 02:52:35.126943 : Epoch  8, Batch   2099, Loss  0.904461, Average Loss  0.867066, Time  0.363592
2021-09-10 02:52:36.225045 : Epoch  9, Batch    633, Loss  0.537222, Average Loss  0.535457, Time  0.261729
2021-09-10 02:52:36.918118 : Epoch  8, Batch   2100, Loss  0.883865, Average Loss  0.867211, Time  0.373492
2021-09-10 02:52:38.102083 : Epoch  9, Batch    634, Loss  0.524082, Average Loss  0.535343, Time  0.258677
2021-09-10 02:52:38.797769 : Epoch  8, Batch   2101, Loss  0.884585, Average Loss  0.867298, Time  0.451486
2021-09-10 02:52:40.018759 : Epoch  9, Batch    635, Loss  0.539477, Average Loss  0.535333, Time  0.273311
2021-09-10 02:52:40.616619 : Epoch  8, Batch   2102, Loss  0.879183, Average Loss  0.867214, Time  0.372873
2021-09-10 02:52:41.911846 : Epoch  9, Batch    636, Loss  0.540129, Average Loss  0.535382, Time  0.260948
2021-09-10 02:52:42.379980 : Epoch  8, Batch   2103, Loss  0.853148, Average Loss  0.867161, Time  0.356099
2021-09-10 02:52:43.826808 : Epoch  9, Batch    637, Loss  0.514714, Average Loss  0.535271, Time  0.263511
2021-09-10 02:52:44.131398 : Epoch  8, Batch   2104, Loss  0.870096, Average Loss  0.867161, Time  0.361607
2021-09-10 02:52:45.716920 : Epoch  9, Batch    638, Loss  0.540101, Average Loss  0.535276, Time  0.269976
2021-09-10 02:52:46.005813 : Epoch  8, Batch   2105, Loss  0.854345, Average Loss  0.867068, Time  0.465536
2021-09-10 02:52:47.589996 : Epoch  9, Batch    639, Loss  0.522636, Average Loss  0.535248, Time  0.258594
2021-09-10 02:52:47.856829 : Epoch  8, Batch   2106, Loss  0.865091, Average Loss  0.867071, Time  0.442909
2021-09-10 02:52:49.464956 : Epoch  9, Batch    640, Loss  0.528505, Average Loss  0.535233, Time  0.258135
2021-09-10 02:52:49.663985 : Epoch  8, Batch   2107, Loss  0.865499, Average Loss  0.867088, Time  0.365354
2021-09-10 02:52:51.327922 : Epoch  9, Batch    641, Loss  0.524040, Average Loss  0.535264, Time  0.258543
2021-09-10 02:52:51.495806 : Epoch  8, Batch   2108, Loss  0.890372, Average Loss  0.867094, Time  0.389908
2021-09-10 02:52:53.267069 : Epoch  9, Batch    642, Loss  0.533834, Average Loss  0.535281, Time  0.258974
2021-09-10 02:52:53.343780 : Epoch  8, Batch   2109, Loss  0.892901, Average Loss  0.867354, Time  0.399388
2021-09-10 02:52:55.159825 : Epoch  9, Batch    643, Loss  0.526313, Average Loss  0.535249, Time  0.262162
2021-09-10 02:52:55.224774 : Epoch  8, Batch   2110, Loss  0.859220, Average Loss  0.867306, Time  0.454350
2021-09-10 02:52:56.998430 : Epoch  8, Batch   2111, Loss  0.858041, Average Loss  0.867270, Time  0.357758
2021-09-10 02:52:57.043830 : Epoch  9, Batch    644, Loss  0.530214, Average Loss  0.535208, Time  0.258813
2021-09-10 02:52:58.809187 : Epoch  8, Batch   2112, Loss  0.889328, Average Loss  0.867437, Time  0.395064
2021-09-10 02:52:58.936055 : Epoch  9, Batch    645, Loss  0.540883, Average Loss  0.535204, Time  0.258080
2021-09-10 02:53:00.591223 : Epoch  8, Batch   2113, Loss  0.868022, Average Loss  0.867473, Time  0.366743
2021-09-10 02:53:00.831769 : Epoch  9, Batch    646, Loss  0.529605, Average Loss  0.535170, Time  0.258194
2021-09-10 02:53:02.471781 : Epoch  8, Batch   2114, Loss  0.862855, Average Loss  0.867358, Time  0.459939
2021-09-10 02:53:02.721808 : Epoch  9, Batch    647, Loss  0.526291, Average Loss  0.535188, Time  0.258042
2021-09-10 02:53:04.257797 : Epoch  8, Batch   2115, Loss  0.848731, Average Loss  0.867277, Time  0.370119
2021-09-10 02:53:04.629921 : Epoch  9, Batch    648, Loss  0.540560, Average Loss  0.535304, Time  0.280202
2021-09-10 02:53:06.081778 : Epoch  8, Batch   2116, Loss  0.873988, Average Loss  0.867353, Time  0.359878
2021-09-10 02:53:06.502836 : Epoch  9, Batch    649, Loss  0.522195, Average Loss  0.535286, Time  0.263748
2021-09-10 02:53:07.892124 : Epoch  8, Batch   2117, Loss  0.866368, Average Loss  0.867420, Time  0.374366
2021-09-10 02:53:08.371801 : Epoch  9, Batch    650, Loss  0.547416, Average Loss  0.535394, Time  0.258401
2021-09-10 02:53:09.783788 : Epoch  8, Batch   2118, Loss  0.869389, Average Loss  0.867461, Time  0.453081
2021-09-10 02:53:10.278771 : Epoch  9, Batch    651, Loss  0.529312, Average Loss  0.535371, Time  0.275263
2021-09-10 02:53:11.559960 : Epoch  8, Batch   2119, Loss  0.891822, Average Loss  0.867570, Time  0.352723
2021-09-10 02:53:12.135621 : Epoch  9, Batch    652, Loss  0.546052, Average Loss  0.535462, Time  0.265328
2021-09-10 02:53:13.380784 : Epoch  8, Batch   2120, Loss  0.878508, Average Loss  0.867644, Time  0.356658
2021-09-10 02:53:14.026795 : Epoch  9, Batch    653, Loss  0.535363, Average Loss  0.535437, Time  0.258432
2021-09-10 02:53:15.203252 : Epoch  8, Batch   2121, Loss  0.890101, Average Loss  0.867834, Time  0.359071
2021-09-10 02:53:15.932091 : Epoch  9, Batch    654, Loss  0.532870, Average Loss  0.535398, Time  0.258449
2021-09-10 02:53:17.102071 : Epoch  8, Batch   2122, Loss  0.883140, Average Loss  0.868120, Time  0.454805
2021-09-10 02:53:17.820836 : Epoch  9, Batch    655, Loss  0.529444, Average Loss  0.535346, Time  0.264339
2021-09-10 02:53:18.938603 : Epoch  8, Batch   2123, Loss  0.878948, Average Loss  0.868001, Time  0.423729
2021-09-10 02:53:19.724154 : Epoch  9, Batch    656, Loss  0.540560, Average Loss  0.535368, Time  0.265585
2021-09-10 02:53:21.633546 : Epoch  9, Batch    657, Loss  0.529258, Average Loss  0.535308, Time  0.267210
2021-09-10 02:53:23.600554 : Epoch  9, Batch    658, Loss  0.544528, Average Loss  0.535284, Time  0.264605
2021-09-10 02:53:25.511894 : Epoch  9, Batch    659, Loss  0.537120, Average Loss  0.535304, Time  0.263745
2021-09-10 02:53:27.410791 : Epoch  9, Batch    660, Loss  0.530959, Average Loss  0.535280, Time  0.258689
2021-09-10 02:53:29.297865 : Epoch  9, Batch    661, Loss  0.535054, Average Loss  0.535259, Time  0.265041
2021-09-10 02:53:31.181803 : Epoch  9, Batch    662, Loss  0.518450, Average Loss  0.535140, Time  0.258252
2021-09-10 02:53:33.061813 : Epoch  9, Batch    663, Loss  0.548335, Average Loss  0.535201, Time  0.261539
2021-09-10 02:53:34.948801 : Epoch  9, Batch    664, Loss  0.525319, Average Loss  0.535124, Time  0.262790
2021-09-10 02:53:36.839880 : Epoch  9, Batch    665, Loss  0.528565, Average Loss  0.535082, Time  0.258442
2021-09-10 02:53:38.750096 : Epoch  9, Batch    666, Loss  0.533487, Average Loss  0.535065, Time  0.259155
2021-09-10 02:53:40.642119 : Epoch  9, Batch    667, Loss  0.535977, Average Loss  0.535047, Time  0.260122
2021-09-10 02:53:42.513804 : Epoch  9, Batch    668, Loss  0.538689, Average Loss  0.535081, Time  0.259176
2021-09-10 02:53:44.388868 : Epoch  9, Batch    669, Loss  0.534920, Average Loss  0.535002, Time  0.260769
2021-09-10 02:53:46.271291 : Epoch  9, Batch    670, Loss  0.546175, Average Loss  0.535044, Time  0.263096
2021-09-10 02:53:48.145833 : Epoch  9, Batch    671, Loss  0.526474, Average Loss  0.534960, Time  0.263045
2021-09-10 02:53:50.023903 : Epoch  9, Batch    672, Loss  0.524301, Average Loss  0.534951, Time  0.259701
2021-09-10 02:53:51.906925 : Epoch  9, Batch    673, Loss  0.526181, Average Loss  0.534866, Time  0.260446
2021-09-10 02:53:53.787131 : Epoch  9, Batch    674, Loss  0.551300, Average Loss  0.534869, Time  0.260556
2021-09-10 02:53:57.808926 : Epoch  9, Batch    675, Loss  0.548411, Average Loss  0.534935, Time  0.269037
2021-09-10 02:53:59.722929 : Epoch  9, Batch    676, Loss  0.513426, Average Loss  0.534769, Time  0.262881
2021-09-10 02:54:01.624876 : Epoch  9, Batch    677, Loss  0.538091, Average Loss  0.534726, Time  0.258217
2021-09-10 02:54:03.506931 : Epoch  9, Batch    678, Loss  0.544824, Average Loss  0.534724, Time  0.267497
2021-09-10 02:54:05.365926 : Epoch  9, Batch    679, Loss  0.536323, Average Loss  0.534721, Time  0.261009
2021-09-10 02:54:07.266849 : Epoch  9, Batch    680, Loss  0.533118, Average Loss  0.534639, Time  0.262070
2021-09-10 02:54:09.149871 : Epoch  9, Batch    681, Loss  0.519574, Average Loss  0.534558, Time  0.259344
2021-09-10 02:54:11.015824 : Epoch  9, Batch    682, Loss  0.524007, Average Loss  0.534515, Time  0.259687
2021-09-10 02:54:12.914147 : Epoch  9, Batch    683, Loss  0.536032, Average Loss  0.534617, Time  0.258142
2021-09-10 02:54:14.775792 : Epoch  9, Batch    684, Loss  0.525460, Average Loss  0.534498, Time  0.264060
2021-09-10 02:54:16.660805 : Epoch  9, Batch    685, Loss  0.554036, Average Loss  0.534574, Time  0.258693
2021-09-10 02:54:18.559778 : Epoch  9, Batch    686, Loss  0.531572, Average Loss  0.534552, Time  0.259717
2021-09-10 02:54:20.455773 : Epoch  9, Batch    687, Loss  0.530124, Average Loss  0.534482, Time  0.264754
2021-09-10 02:54:22.350535 : Epoch  9, Batch    688, Loss  0.539380, Average Loss  0.534531, Time  0.265097
2021-09-10 02:54:24.231084 : Epoch  9, Batch    689, Loss  0.553215, Average Loss  0.534617, Time  0.261617
2021-09-10 02:54:26.103094 : Epoch  9, Batch    690, Loss  0.539220, Average Loss  0.534676, Time  0.258826
2021-09-10 02:54:27.973637 : Epoch  9, Batch    691, Loss  0.523447, Average Loss  0.534591, Time  0.259422
2021-09-10 02:54:29.858829 : Epoch  9, Batch    692, Loss  0.532542, Average Loss  0.534552, Time  0.264540
2021-09-10 02:54:31.753141 : Epoch  9, Batch    693, Loss  0.543707, Average Loss  0.534584, Time  0.276617
2021-09-10 02:54:33.647930 : Epoch  9, Batch    694, Loss  0.530944, Average Loss  0.534582, Time  0.262437
2021-09-10 02:54:35.554793 : Epoch  9, Batch    695, Loss  0.535163, Average Loss  0.534615, Time  0.271564
2021-09-10 02:54:37.464987 : Epoch  9, Batch    696, Loss  0.539051, Average Loss  0.534584, Time  0.263180
2021-09-10 02:54:39.357897 : Epoch  9, Batch    697, Loss  0.525170, Average Loss  0.534547, Time  0.259112
2021-09-10 02:54:41.261876 : Epoch  9, Batch    698, Loss  0.538269, Average Loss  0.534567, Time  0.261518
2021-09-10 02:54:43.168251 : Epoch  9, Batch    699, Loss  0.539631, Average Loss  0.534593, Time  0.274127
2021-09-10 02:54:45.090920 : Epoch  9, Batch    700, Loss  0.531449, Average Loss  0.534558, Time  0.267612
2021-09-10 02:54:47.005834 : Epoch  9, Batch    701, Loss  0.510927, Average Loss  0.534427, Time  0.265657
2021-09-10 02:54:48.917900 : Epoch  9, Batch    702, Loss  0.548700, Average Loss  0.534526, Time  0.265414
2021-09-10 02:54:50.833385 : Epoch  9, Batch    703, Loss  0.520954, Average Loss  0.534438, Time  0.274904
2021-09-10 02:54:54.796100 : Epoch  9, Batch    704, Loss  0.529482, Average Loss  0.534428, Time  0.279979
2021-09-10 02:56:04.025742 : CheckPoint: Validation Loss  0.00022791, Best Loss  0.00021720
2021-09-10 02:56:05.921860 : Epoch  9, Batch    705, Loss  0.542354, Average Loss  0.534448, Time  0.268256
2021-09-10 02:56:07.813972 : Epoch  9, Batch    706, Loss  0.543968, Average Loss  0.534489, Time  0.264478
2021-09-10 02:56:09.713060 : Epoch  9, Batch    707, Loss  0.533489, Average Loss  0.534473, Time  0.270850
2021-09-10 02:56:11.608804 : Epoch  9, Batch    708, Loss  0.542985, Average Loss  0.534495, Time  0.261981
2021-09-10 02:56:13.526898 : Epoch  9, Batch    709, Loss  0.534059, Average Loss  0.534507, Time  0.258621
2021-09-10 02:56:15.413921 : Epoch  9, Batch    710, Loss  0.527674, Average Loss  0.534436, Time  0.267878
2021-09-10 02:56:17.283787 : Epoch  9, Batch    711, Loss  0.538405, Average Loss  0.534487, Time  0.259935
2021-09-10 02:56:19.170293 : Epoch  9, Batch    712, Loss  0.545055, Average Loss  0.534558, Time  0.259167
2021-09-10 02:56:21.045779 : Epoch  9, Batch    713, Loss  0.542203, Average Loss  0.534572, Time  0.263031
2021-09-10 02:56:22.928411 : Epoch  9, Batch    714, Loss  0.547509, Average Loss  0.534609, Time  0.265174
2021-09-10 02:56:24.817891 : Epoch  9, Batch    715, Loss  0.541765, Average Loss  0.534581, Time  0.261754
2021-09-10 02:56:26.682913 : Epoch  9, Batch    716, Loss  0.540856, Average Loss  0.534556, Time  0.262524
2021-09-10 02:56:28.572780 : Epoch  9, Batch    717, Loss  0.535161, Average Loss  0.534544, Time  0.258281
2021-09-10 02:56:30.488057 : Epoch  9, Batch    718, Loss  0.531825, Average Loss  0.534546, Time  0.257941
2021-09-10 02:56:32.397752 : Epoch  9, Batch    719, Loss  0.521490, Average Loss  0.534459, Time  0.258227
2021-09-10 02:56:34.299851 : Epoch  9, Batch    720, Loss  0.536461, Average Loss  0.534529, Time  0.258539
2021-09-10 02:56:36.212799 : Epoch  9, Batch    721, Loss  0.536086, Average Loss  0.534604, Time  0.258425
2021-09-10 02:56:38.109761 : Epoch  9, Batch    722, Loss  0.531915, Average Loss  0.534603, Time  0.258741
2021-09-10 02:56:40.027052 : Epoch  9, Batch    723, Loss  0.529842, Average Loss  0.534550, Time  0.258199
2021-09-10 02:56:41.916882 : Epoch  9, Batch    724, Loss  0.543436, Average Loss  0.534608, Time  0.258146
2021-09-10 02:56:43.804791 : Epoch  9, Batch    725, Loss  0.536037, Average Loss  0.534629, Time  0.258582
2021-09-10 02:56:45.723850 : Epoch  9, Batch    726, Loss  0.534063, Average Loss  0.534665, Time  0.269188
2021-09-10 02:56:47.618091 : Epoch  9, Batch    727, Loss  0.540258, Average Loss  0.534681, Time  0.263243
2021-09-10 02:56:49.529087 : Epoch  9, Batch    728, Loss  0.526318, Average Loss  0.534664, Time  0.271722
2021-09-10 02:56:51.443821 : Epoch  9, Batch    729, Loss  0.527439, Average Loss  0.534604, Time  0.272325
2021-09-10 02:56:53.348100 : Epoch  9, Batch    730, Loss  0.540339, Average Loss  0.534649, Time  0.258377
2021-09-10 02:56:55.239879 : Epoch  9, Batch    731, Loss  0.536653, Average Loss  0.534669, Time  0.258381
2021-09-10 02:56:57.137811 : Epoch  9, Batch    732, Loss  0.527895, Average Loss  0.534572, Time  0.263258
2021-09-10 02:56:59.012119 : Epoch  9, Batch    733, Loss  0.530981, Average Loss  0.534562, Time  0.263250
2021-09-10 02:57:00.889882 : Epoch  9, Batch    734, Loss  0.528596, Average Loss  0.534616, Time  0.261921
2021-09-10 02:57:02.780914 : Epoch  9, Batch    735, Loss  0.532159, Average Loss  0.534617, Time  0.261987
2021-09-10 02:57:04.663908 : Epoch  9, Batch    736, Loss  0.528898, Average Loss  0.534622, Time  0.258490
2021-09-10 02:57:06.551863 : Epoch  9, Batch    737, Loss  0.535762, Average Loss  0.534598, Time  0.270316
2021-09-10 02:57:08.487954 : Epoch  9, Batch    738, Loss  0.520860, Average Loss  0.534446, Time  0.272277
2021-09-10 02:57:10.399774 : Epoch  9, Batch    739, Loss  0.540281, Average Loss  0.534420, Time  0.263363
2021-09-10 02:57:12.319090 : Epoch  9, Batch    740, Loss  0.530574, Average Loss  0.534348, Time  0.264949
2021-09-10 02:57:14.222821 : Epoch  9, Batch    741, Loss  0.546183, Average Loss  0.534394, Time  0.258891
2021-09-10 02:57:16.138081 : Epoch  9, Batch    742, Loss  0.533344, Average Loss  0.534429, Time  0.261750
2021-09-10 02:57:18.021794 : Epoch  9, Batch    743, Loss  0.534503, Average Loss  0.534460, Time  0.262432
2021-09-10 02:57:19.915091 : Epoch  9, Batch    744, Loss  0.528701, Average Loss  0.534426, Time  0.269203
2021-09-10 02:57:21.789187 : Epoch  9, Batch    745, Loss  0.553093, Average Loss  0.534508, Time  0.258153
2021-09-10 02:57:23.672948 : Epoch  9, Batch    746, Loss  0.534890, Average Loss  0.534466, Time  0.261429
2021-09-10 02:57:25.535185 : Epoch  9, Batch    747, Loss  0.539828, Average Loss  0.534452, Time  0.258205
2021-09-10 02:57:27.420803 : Epoch  9, Batch    748, Loss  0.532982, Average Loss  0.534407, Time  0.272923
2021-09-10 02:57:29.303835 : Epoch  9, Batch    749, Loss  0.532662, Average Loss  0.534396, Time  0.259348
2021-09-10 02:57:31.167797 : Epoch  9, Batch    750, Loss  0.521619, Average Loss  0.534359, Time  0.266672
2021-09-10 02:57:33.057750 : Epoch  9, Batch    751, Loss  0.538111, Average Loss  0.534379, Time  0.260469
2021-09-10 02:57:34.927087 : Epoch  9, Batch    752, Loss  0.547446, Average Loss  0.534457, Time  0.261552
2021-09-10 02:57:36.803740 : Epoch  9, Batch    753, Loss  0.536530, Average Loss  0.534441, Time  0.258433
2021-09-10 02:57:38.683774 : Epoch  9, Batch    754, Loss  0.545723, Average Loss  0.534525, Time  0.271528
2021-09-10 02:57:40.561813 : Epoch  9, Batch    755, Loss  0.532121, Average Loss  0.534597, Time  0.258506
2021-09-10 02:57:42.458774 : Epoch  9, Batch    756, Loss  0.527219, Average Loss  0.534555, Time  0.258739
2021-09-10 02:57:44.352146 : Epoch  9, Batch    757, Loss  0.529817, Average Loss  0.534528, Time  0.262971
2021-09-10 02:57:46.256888 : Epoch  9, Batch    758, Loss  0.526614, Average Loss  0.534491, Time  0.258409
2021-09-10 02:57:48.149087 : Epoch  9, Batch    759, Loss  0.535356, Average Loss  0.534436, Time  0.258304
2021-09-10 02:57:50.049124 : Epoch  9, Batch    760, Loss  0.537959, Average Loss  0.534481, Time  0.268262
2021-09-10 02:57:51.940781 : Epoch  9, Batch    761, Loss  0.541983, Average Loss  0.534520, Time  0.261950
2021-09-10 02:57:53.822883 : Epoch  9, Batch    762, Loss  0.546705, Average Loss  0.534612, Time  0.261692
2021-09-10 02:57:55.693798 : Epoch  9, Batch    763, Loss  0.537102, Average Loss  0.534672, Time  0.264417
2021-09-10 02:57:57.571844 : Epoch  9, Batch    764, Loss  0.551983, Average Loss  0.534804, Time  0.258624
2021-09-10 02:57:59.452093 : Epoch  9, Batch    765, Loss  0.534223, Average Loss  0.534827, Time  0.259325
2021-09-10 02:58:01.354831 : Epoch  9, Batch    766, Loss  0.529271, Average Loss  0.534772, Time  0.260878
2021-09-10 02:58:03.278116 : Epoch  9, Batch    767, Loss  0.521747, Average Loss  0.534736, Time  0.260084
2021-09-10 02:58:05.174100 : Epoch  9, Batch    768, Loss  0.525449, Average Loss  0.534705, Time  0.261601
2021-09-10 02:58:07.041851 : Epoch  9, Batch    769, Loss  0.537800, Average Loss  0.534743, Time  0.262726
2021-09-10 02:58:08.909087 : Epoch  9, Batch    770, Loss  0.533779, Average Loss  0.534672, Time  0.260252
2021-09-10 02:58:09.477707 : CheckPoint: Validation Loss  0.00060625, Best Loss  0.00056427
2021-09-10 02:58:10.813818 : Epoch  9, Batch    771, Loss  0.525955, Average Loss  0.534671, Time  0.258403
2021-09-10 02:58:11.287778 : Epoch  8, Batch   2124, Loss  0.911416, Average Loss  0.868317, Time  0.360553
2021-09-10 02:58:12.685003 : Epoch  9, Batch    772, Loss  0.525305, Average Loss  0.534636, Time  0.259093
2021-09-10 02:58:13.184779 : Epoch  8, Batch   2125, Loss  0.877939, Average Loss  0.868420, Time  0.453344
2021-09-10 02:58:14.570814 : Epoch  9, Batch    773, Loss  0.540503, Average Loss  0.534681, Time  0.268771
2021-09-10 02:58:15.090777 : Epoch  8, Batch   2126, Loss  0.859415, Average Loss  0.868412, Time  0.444735
2021-09-10 02:58:16.466841 : Epoch  9, Batch    774, Loss  0.529809, Average Loss  0.534691, Time  0.261499
2021-09-10 02:58:16.883669 : Epoch  8, Batch   2127, Loss  0.890363, Average Loss  0.868509, Time  0.366772
2021-09-10 02:58:18.677850 : Epoch  8, Batch   2128, Loss  0.866877, Average Loss  0.868717, Time  0.359318
2021-09-10 02:58:20.484934 : Epoch  9, Batch    775, Loss  0.525510, Average Loss  0.534626, Time  0.277181
2021-09-10 02:58:20.523769 : Epoch  8, Batch   2129, Loss  0.865580, Average Loss  0.868696, Time  0.410323
2021-09-10 02:58:22.373884 : Epoch  9, Batch    776, Loss  0.522431, Average Loss  0.534572, Time  0.268299
2021-09-10 02:58:22.426647 : Epoch  8, Batch   2130, Loss  0.844956, Average Loss  0.868481, Time  0.469907
2021-09-10 02:58:24.198769 : Epoch  8, Batch   2131, Loss  0.887752, Average Loss  0.868647, Time  0.362831
2021-09-10 02:58:24.272788 : Epoch  9, Batch    777, Loss  0.542745, Average Loss  0.534661, Time  0.267056
2021-09-10 02:58:26.025781 : Epoch  8, Batch   2132, Loss  0.828432, Average Loss  0.868583, Time  0.367775
2021-09-10 02:58:26.145082 : Epoch  9, Batch    778, Loss  0.533071, Average Loss  0.534635, Time  0.259839
2021-09-10 02:58:27.834298 : Epoch  8, Batch   2133, Loss  0.872122, Average Loss  0.868503, Time  0.362051
2021-09-10 02:58:28.016176 : Epoch  9, Batch    779, Loss  0.542553, Average Loss  0.534692, Time  0.258567
2021-09-10 02:58:29.782510 : Epoch  8, Batch   2134, Loss  0.864621, Average Loss  0.868545, Time  0.455189
2021-09-10 02:58:29.949997 : Epoch  9, Batch    780, Loss  0.537831, Average Loss  0.534696, Time  0.258950
2021-09-10 02:58:31.675024 : Epoch  8, Batch   2135, Loss  0.900129, Average Loss  0.868695, Time  0.447048
2021-09-10 02:58:31.832808 : Epoch  9, Batch    781, Loss  0.548818, Average Loss  0.534766, Time  0.259686
2021-09-10 02:58:33.476824 : Epoch  8, Batch   2136, Loss  0.862415, Average Loss  0.868595, Time  0.365500
2021-09-10 02:58:33.697355 : Epoch  9, Batch    782, Loss  0.531493, Average Loss  0.534735, Time  0.258916
2021-09-10 02:58:35.266231 : Epoch  8, Batch   2137, Loss  0.877784, Average Loss  0.868508, Time  0.366597
2021-09-10 02:58:35.564774 : Epoch  9, Batch    783, Loss  0.524858, Average Loss  0.534654, Time  0.264343
2021-09-10 02:58:37.080784 : Epoch  8, Batch   2138, Loss  0.875036, Average Loss  0.868476, Time  0.415950
2021-09-10 02:58:37.463885 : Epoch  9, Batch    784, Loss  0.520756, Average Loss  0.534566, Time  0.260797
2021-09-10 02:58:38.962988 : Epoch  8, Batch   2139, Loss  0.862429, Average Loss  0.868549, Time  0.470680
2021-09-10 02:58:39.366923 : Epoch  9, Batch    785, Loss  0.557321, Average Loss  0.534810, Time  0.273187
2021-09-10 02:58:40.721331 : Epoch  8, Batch   2140, Loss  0.843802, Average Loss  0.868504, Time  0.357112
2021-09-10 02:58:41.299900 : Epoch  9, Batch    786, Loss  0.537902, Average Loss  0.534823, Time  0.263235
2021-09-10 02:58:42.497599 : Epoch  8, Batch   2141, Loss  0.864891, Average Loss  0.868495, Time  0.361966
2021-09-10 02:58:43.220818 : Epoch  9, Batch    787, Loss  0.537425, Average Loss  0.534923, Time  0.263853
2021-09-10 02:58:43.255639 : Saving Model after 9-th Epoch.
2021-09-10 02:58:44.236677 : Epoch Finished.
2021-09-10 02:58:44.375192 : Epoch  8, Batch   2142, Loss  0.860764, Average Loss  0.868466, Time  0.438779
2021-09-10 02:58:46.245680 : Batch Shuffled
2021-09-10 02:58:46.275431 : Epoch  8, Batch   2143, Loss  0.858983, Average Loss  0.868522, Time  0.454038
2021-09-10 02:58:48.094769 : Epoch  8, Batch   2144, Loss  0.848148, Average Loss  0.868330, Time  0.358087
2021-09-10 02:58:48.137819 : Epoch 10, Batch      1, Loss  0.552295, Average Loss  0.535039, Time  0.267920
2021-09-10 02:58:49.864938 : Epoch  8, Batch   2145, Loss  0.860607, Average Loss  0.868424, Time  0.358305
2021-09-10 02:58:50.045815 : Epoch 10, Batch      2, Loss  0.529149, Average Loss  0.534992, Time  0.261521
2021-09-10 02:58:51.663140 : Epoch  8, Batch   2146, Loss  0.900552, Average Loss  0.868544, Time  0.372604
2021-09-10 02:58:51.936892 : Epoch 10, Batch      3, Loss  0.532092, Average Loss  0.534878, Time  0.261444
2021-09-10 02:58:53.559215 : Epoch  8, Batch   2147, Loss  0.868497, Average Loss  0.868537, Time  0.452352
2021-09-10 02:58:53.794769 : Epoch 10, Batch      4, Loss  0.549491, Average Loss  0.534942, Time  0.258764
2021-09-10 02:58:55.330790 : Epoch  8, Batch   2148, Loss  0.872898, Average Loss  0.868614, Time  0.345320
2021-09-10 02:58:55.700854 : Epoch 10, Batch      5, Loss  0.547529, Average Loss  0.534911, Time  0.260117
2021-09-10 02:58:57.155787 : Epoch  8, Batch   2149, Loss  0.880411, Average Loss  0.868688, Time  0.355448
2021-09-10 02:58:57.594818 : Epoch 10, Batch      6, Loss  0.550961, Average Loss  0.534947, Time  0.266134
2021-09-10 02:58:58.960786 : Epoch  8, Batch   2150, Loss  0.889609, Average Loss  0.868683, Time  0.356603
2021-09-10 02:58:59.490777 : Epoch 10, Batch      7, Loss  0.520102, Average Loss  0.534869, Time  0.258093
2021-09-10 02:59:00.838848 : Epoch  8, Batch   2151, Loss  0.867549, Average Loss  0.868816, Time  0.453159
2021-09-10 02:59:01.368855 : Epoch 10, Batch      8, Loss  0.539408, Average Loss  0.534872, Time  0.258454
2021-09-10 02:59:02.718765 : Epoch  8, Batch   2152, Loss  0.860798, Average Loss  0.868838, Time  0.445647
2021-09-10 02:59:03.255961 : Epoch 10, Batch      9, Loss  0.543624, Average Loss  0.534893, Time  0.264085
2021-09-10 02:59:04.523768 : Epoch  8, Batch   2153, Loss  0.852015, Average Loss  0.868887, Time  0.358400
2021-09-10 02:59:05.136791 : Epoch 10, Batch     10, Loss  0.534209, Average Loss  0.534892, Time  0.262311
2021-09-10 02:59:06.377110 : Epoch  8, Batch   2154, Loss  0.908817, Average Loss  0.869190, Time  0.355113
2021-09-10 02:59:07.033759 : Epoch 10, Batch     11, Loss  0.536730, Average Loss  0.534858, Time  0.269570
2021-09-10 02:59:08.206789 : Epoch  8, Batch   2155, Loss  0.870031, Average Loss  0.869311, Time  0.386960
2021-09-10 02:59:08.904815 : Epoch 10, Batch     12, Loss  0.544642, Average Loss  0.534944, Time  0.259110
2021-09-10 02:59:10.108920 : Epoch  8, Batch   2156, Loss  0.872855, Average Loss  0.869374, Time  0.451562
2021-09-10 02:59:10.775965 : Epoch 10, Batch     13, Loss  0.527312, Average Loss  0.534903, Time  0.266673
2021-09-10 02:59:11.905768 : Epoch  8, Batch   2157, Loss  0.866413, Average Loss  0.869319, Time  0.357975
2021-09-10 02:59:12.676931 : Epoch 10, Batch     14, Loss  0.534796, Average Loss  0.534880, Time  0.261684
2021-09-10 02:59:13.709901 : Epoch  8, Batch   2158, Loss  0.861723, Average Loss  0.869210, Time  0.356148
2021-09-10 02:59:14.578786 : Epoch 10, Batch     15, Loss  0.529889, Average Loss  0.534904, Time  0.260541
2021-09-10 02:59:15.534105 : Epoch  8, Batch   2159, Loss  0.875623, Average Loss  0.869177, Time  0.359498
2021-09-10 02:59:16.469081 : Epoch 10, Batch     16, Loss  0.546607, Average Loss  0.535030, Time  0.272722
2021-09-10 02:59:17.428858 : Epoch  8, Batch   2160, Loss  0.886713, Average Loss  0.869322, Time  0.451647
2021-09-10 02:59:18.354768 : Epoch 10, Batch     17, Loss  0.529275, Average Loss  0.534970, Time  0.262329
2021-09-10 02:59:19.215125 : Epoch  8, Batch   2161, Loss  0.875369, Average Loss  0.869324, Time  0.339763
2021-09-10 02:59:21.036792 : Epoch  8, Batch   2162, Loss  0.835564, Average Loss  0.869285, Time  0.354823
2021-09-10 02:59:22.841767 : Epoch  8, Batch   2163, Loss  0.872263, Average Loss  0.869226, Time  0.355907
2021-09-10 02:59:24.729075 : Epoch  8, Batch   2164, Loss  0.855718, Average Loss  0.869175, Time  0.447501
2021-09-10 02:59:26.542778 : Epoch  8, Batch   2165, Loss  0.887139, Average Loss  0.869322, Time  0.388620
2021-09-10 02:59:28.345791 : Epoch  8, Batch   2166, Loss  0.851868, Average Loss  0.869316, Time  0.362123
2021-09-10 02:59:30.140785 : Epoch  8, Batch   2167, Loss  0.849852, Average Loss  0.869380, Time  0.368755
2021-09-10 02:59:32.056177 : Epoch  8, Batch   2168, Loss  0.856440, Average Loss  0.869400, Time  0.460772
2021-09-10 02:59:33.915618 : Epoch  8, Batch   2169, Loss  0.876034, Average Loss  0.869427, Time  0.460409
2021-09-10 02:59:35.691774 : Epoch  8, Batch   2170, Loss  0.834802, Average Loss  0.869276, Time  0.366627
2021-09-10 02:59:37.484768 : Epoch  8, Batch   2171, Loss  0.885342, Average Loss  0.869360, Time  0.358249
2021-09-10 02:59:39.356836 : Epoch  8, Batch   2172, Loss  0.851044, Average Loss  0.869273, Time  0.407005
2021-09-10 02:59:41.257780 : Epoch  8, Batch   2173, Loss  0.854331, Average Loss  0.869327, Time  0.461050
2021-09-10 02:59:43.032863 : Epoch  8, Batch   2174, Loss  0.873541, Average Loss  0.869402, Time  0.343225
2021-09-10 02:59:44.811781 : Epoch  8, Batch   2175, Loss  0.877999, Average Loss  0.869388, Time  0.356921
2021-09-10 02:59:46.610862 : Epoch  8, Batch   2176, Loss  0.859120, Average Loss  0.869402, Time  0.376018
2021-09-10 02:59:48.478198 : Epoch  8, Batch   2177, Loss  0.879410, Average Loss  0.869356, Time  0.457860
2021-09-10 02:59:50.263110 : Epoch  8, Batch   2178, Loss  0.862919, Average Loss  0.869297, Time  0.362965
2021-09-10 02:59:52.084776 : Epoch  8, Batch   2179, Loss  0.893440, Average Loss  0.869303, Time  0.367817
2021-09-10 02:59:53.879884 : Epoch  8, Batch   2180, Loss  0.861265, Average Loss  0.869291, Time  0.360570
2021-09-10 02:59:55.739306 : Epoch  8, Batch   2181, Loss  0.881921, Average Loss  0.869390, Time  0.460382
2021-09-10 02:59:57.499299 : Epoch  8, Batch   2182, Loss  0.863122, Average Loss  0.869490, Time  0.360302
2021-09-10 02:59:59.271957 : Epoch  8, Batch   2183, Loss  0.854924, Average Loss  0.869438, Time  0.357706
2021-09-10 03:00:01.089117 : Epoch  8, Batch   2184, Loss  0.878532, Average Loss  0.869549, Time  0.395527
2021-09-10 03:00:02.978835 : Epoch  8, Batch   2185, Loss  0.855023, Average Loss  0.869457, Time  0.461328
2021-09-10 03:00:04.794420 : Epoch  8, Batch   2186, Loss  0.867930, Average Loss  0.869430, Time  0.369589
2021-09-10 03:00:06.645921 : Epoch  8, Batch   2187, Loss  0.861323, Average Loss  0.869253, Time  0.365091
2021-09-10 03:00:08.430853 : Epoch  8, Batch   2188, Loss  0.880647, Average Loss  0.869362, Time  0.366722
2021-09-10 03:00:10.317786 : Epoch  8, Batch   2189, Loss  0.839651, Average Loss  0.869173, Time  0.456151
2021-09-10 03:00:12.204896 : Epoch  8, Batch   2190, Loss  0.860997, Average Loss  0.869165, Time  0.452725
2021-09-10 03:00:13.987777 : Epoch  8, Batch   2191, Loss  0.839192, Average Loss  0.868975, Time  0.363419
2021-09-10 03:00:15.746272 : Epoch  8, Batch   2192, Loss  0.857184, Average Loss  0.868937, Time  0.357544
2021-09-10 03:00:17.572829 : Epoch  8, Batch   2193, Loss  0.878019, Average Loss  0.868925, Time  0.400980
2021-09-10 03:00:19.477365 : Epoch  8, Batch   2194, Loss  0.864034, Average Loss  0.868848, Time  0.453967
2021-09-10 03:00:21.257200 : Epoch  8, Batch   2195, Loss  0.859876, Average Loss  0.868792, Time  0.349725
2021-09-10 03:00:23.020244 : Epoch  8, Batch   2196, Loss  0.862262, Average Loss  0.868705, Time  0.357482
2021-09-10 03:00:24.827780 : Epoch  8, Batch   2197, Loss  0.872338, Average Loss  0.868607, Time  0.387831
2021-09-10 03:00:26.700265 : Epoch  8, Batch   2198, Loss  0.876625, Average Loss  0.868639, Time  0.449593
2021-09-10 03:00:28.029743 : CheckPoint: Validation Loss  0.00022040, Best Loss  0.00021720
2021-09-10 03:00:28.470910 : Epoch  8, Batch   2199, Loss  0.863821, Average Loss  0.868586, Time  0.356877
2021-09-10 03:00:29.936917 : Epoch 10, Batch     18, Loss  0.522601, Average Loss  0.534906, Time  0.263920
2021-09-10 03:00:30.263951 : Epoch  8, Batch   2200, Loss  0.891015, Average Loss  0.868788, Time  0.373672
2021-09-10 03:00:31.828944 : Epoch 10, Batch     19, Loss  0.542520, Average Loss  0.534892, Time  0.268756
2021-09-10 03:00:32.092769 : Epoch  8, Batch   2201, Loss  0.859327, Average Loss  0.868743, Time  0.384463
2021-09-10 03:00:33.704768 : Epoch 10, Batch     20, Loss  0.534668, Average Loss  0.534885, Time  0.262035
2021-09-10 03:00:33.973133 : Epoch  8, Batch   2202, Loss  0.871796, Average Loss  0.868632, Time  0.457909
2021-09-10 03:00:35.576948 : Epoch 10, Batch     21, Loss  0.533870, Average Loss  0.534880, Time  0.261842
2021-09-10 03:00:35.861771 : Epoch  8, Batch   2203, Loss  0.897284, Average Loss  0.868806, Time  0.433982
2021-09-10 03:00:37.454854 : Epoch 10, Batch     22, Loss  0.528976, Average Loss  0.534872, Time  0.264561
2021-09-10 03:00:37.692479 : Epoch  8, Batch   2204, Loss  0.860678, Average Loss  0.868740, Time  0.355403
2021-09-10 03:00:39.362801 : Epoch 10, Batch     23, Loss  0.534755, Average Loss  0.534910, Time  0.262109
2021-09-10 03:00:39.487781 : Epoch  8, Batch   2205, Loss  0.877713, Average Loss  0.868767, Time  0.357764
2021-09-10 03:00:41.241619 : Epoch 10, Batch     24, Loss  0.541165, Average Loss  0.534926, Time  0.260854
2021-09-10 03:00:41.332818 : Epoch  8, Batch   2206, Loss  0.856126, Average Loss  0.868674, Time  0.421838
2021-09-10 03:00:43.153843 : Epoch 10, Batch     25, Loss  0.530939, Average Loss  0.534832, Time  0.258216
2021-09-10 03:00:43.215772 : Epoch  8, Batch   2207, Loss  0.842906, Average Loss  0.868383, Time  0.454522
2021-09-10 03:00:45.021779 : Epoch  8, Batch   2208, Loss  0.835388, Average Loss  0.868336, Time  0.386896
2021-09-10 03:00:45.067790 : Epoch 10, Batch     26, Loss  0.533693, Average Loss  0.534816, Time  0.271765
2021-09-10 03:00:46.868819 : Epoch  8, Batch   2209, Loss  0.881796, Average Loss  0.868336, Time  0.406592
2021-09-10 03:00:47.022783 : Epoch 10, Batch     27, Loss  0.531752, Average Loss  0.534755, Time  0.325154
2021-09-10 03:00:48.694810 : Epoch  8, Batch   2210, Loss  0.883078, Average Loss  0.868523, Time  0.368033
2021-09-10 03:00:48.904849 : Epoch 10, Batch     28, Loss  0.524664, Average Loss  0.534757, Time  0.257958
2021-09-10 03:00:50.589978 : Epoch  8, Batch   2211, Loss  0.873378, Average Loss  0.868516, Time  0.480970
2021-09-10 03:00:50.802844 : Epoch 10, Batch     29, Loss  0.544354, Average Loss  0.534868, Time  0.258017
2021-09-10 03:00:52.462407 : Epoch  8, Batch   2212, Loss  0.851933, Average Loss  0.868394, Time  0.436102
2021-09-10 03:00:52.677919 : Epoch 10, Batch     30, Loss  0.543170, Average Loss  0.534884, Time  0.262507
2021-09-10 03:00:54.256278 : Epoch  8, Batch   2213, Loss  0.881069, Average Loss  0.868592, Time  0.380270
2021-09-10 03:00:54.571079 : Epoch 10, Batch     31, Loss  0.534795, Average Loss  0.534892, Time  0.275835
2021-09-10 03:00:56.032887 : Epoch  8, Batch   2214, Loss  0.839609, Average Loss  0.868402, Time  0.364141
2021-09-10 03:00:56.472933 : Epoch 10, Batch     32, Loss  0.533142, Average Loss  0.534903, Time  0.265742
2021-09-10 03:00:57.912790 : Epoch  8, Batch   2215, Loss  0.885384, Average Loss  0.868480, Time  0.431413
2021-09-10 03:00:58.336835 : Epoch 10, Batch     33, Loss  0.529660, Average Loss  0.534821, Time  0.258458
2021-09-10 03:00:59.821922 : Epoch  8, Batch   2216, Loss  0.844673, Average Loss  0.868381, Time  0.470709
2021-09-10 03:01:00.236110 : Epoch 10, Batch     34, Loss  0.540427, Average Loss  0.534881, Time  0.265725
2021-09-10 03:01:01.673779 : Epoch  8, Batch   2217, Loss  0.880665, Average Loss  0.868559, Time  0.420401
2021-09-10 03:01:02.180865 : Epoch 10, Batch     35, Loss  0.554318, Average Loss  0.534936, Time  0.258350
2021-09-10 03:01:03.447111 : Epoch  8, Batch   2218, Loss  0.847198, Average Loss  0.868376, Time  0.358240
2021-09-10 03:01:04.092086 : Epoch 10, Batch     36, Loss  0.535186, Average Loss  0.535014, Time  0.263480
2021-09-10 03:01:05.225780 : Epoch  8, Batch   2219, Loss  0.868025, Average Loss  0.868484, Time  0.362118
2021-09-10 03:01:06.021783 : Epoch 10, Batch     37, Loss  0.538425, Average Loss  0.534999, Time  0.270937
2021-09-10 03:01:07.138795 : Epoch  8, Batch   2220, Loss  0.857213, Average Loss  0.868408, Time  0.446387
2021-09-10 03:01:07.928093 : Epoch 10, Batch     38, Loss  0.540423, Average Loss  0.534987, Time  0.263275
2021-09-10 03:01:09.043792 : Epoch  8, Batch   2221, Loss  0.877453, Average Loss  0.868617, Time  0.450275
2021-09-10 03:01:09.823086 : Epoch 10, Batch     39, Loss  0.536078, Average Loss  0.535024, Time  0.266648
2021-09-10 03:01:10.955995 : Epoch  8, Batch   2222, Loss  0.871450, Average Loss  0.868636, Time  0.427624
2021-09-10 03:01:11.743803 : Epoch 10, Batch     40, Loss  0.529705, Average Loss  0.534989, Time  0.267838
2021-09-10 03:01:12.758780 : Epoch  8, Batch   2223, Loss  0.863320, Average Loss  0.868585, Time  0.368132
2021-09-10 03:01:13.663346 : Epoch 10, Batch     41, Loss  0.522629, Average Loss  0.534817, Time  0.278678
2021-09-10 03:01:15.567176 : Epoch 10, Batch     42, Loss  0.538468, Average Loss  0.534910, Time  0.265429
2021-09-10 03:01:17.486086 : Epoch 10, Batch     43, Loss  0.525046, Average Loss  0.534846, Time  0.267525
2021-09-10 03:01:19.378816 : Epoch 10, Batch     44, Loss  0.541815, Average Loss  0.534877, Time  0.261170
2021-09-10 03:01:21.248967 : Epoch 10, Batch     45, Loss  0.552972, Average Loss  0.534921, Time  0.259039
2021-09-10 03:01:23.161883 : Epoch 10, Batch     46, Loss  0.538379, Average Loss  0.534927, Time  0.262712
2021-09-10 03:01:25.044864 : Epoch 10, Batch     47, Loss  0.555951, Average Loss  0.535086, Time  0.258266
2021-09-10 03:01:26.968886 : Epoch 10, Batch     48, Loss  0.524336, Average Loss  0.535010, Time  0.267266
2021-09-10 03:01:28.841080 : Epoch 10, Batch     49, Loss  0.529316, Average Loss  0.534956, Time  0.265061
2021-09-10 03:01:30.744743 : Epoch 10, Batch     50, Loss  0.554118, Average Loss  0.535153, Time  0.258543
2021-09-10 03:01:32.602639 : Epoch 10, Batch     51, Loss  0.547487, Average Loss  0.535190, Time  0.258291
2021-09-10 03:01:34.468153 : Epoch 10, Batch     52, Loss  0.547467, Average Loss  0.535314, Time  0.258460
2021-09-10 03:01:36.365077 : Epoch 10, Batch     53, Loss  0.522697, Average Loss  0.535285, Time  0.265120
2021-09-10 03:01:38.240859 : Epoch 10, Batch     54, Loss  0.535308, Average Loss  0.535342, Time  0.258233
2021-09-10 03:01:40.140093 : Epoch 10, Batch     55, Loss  0.540036, Average Loss  0.535373, Time  0.257984
2021-09-10 03:01:42.016091 : Epoch 10, Batch     56, Loss  0.514794, Average Loss  0.535315, Time  0.260732
2021-09-10 03:01:43.917775 : Epoch 10, Batch     57, Loss  0.544079, Average Loss  0.535384, Time  0.267467
2021-09-10 03:01:45.815782 : Epoch 10, Batch     58, Loss  0.540602, Average Loss  0.535383, Time  0.261599
2021-09-10 03:01:47.712899 : Epoch 10, Batch     59, Loss  0.540998, Average Loss  0.535440, Time  0.263736
2021-09-10 03:01:49.624779 : Epoch 10, Batch     60, Loss  0.522880, Average Loss  0.535423, Time  0.268454
2021-09-10 03:01:51.530855 : Epoch 10, Batch     61, Loss  0.515941, Average Loss  0.535300, Time  0.262127
2021-09-10 03:01:53.452775 : Epoch 10, Batch     62, Loss  0.518967, Average Loss  0.535284, Time  0.263314
2021-09-10 03:01:55.370372 : Epoch 10, Batch     63, Loss  0.526277, Average Loss  0.535178, Time  0.266674
2021-09-10 03:01:57.254777 : Epoch 10, Batch     64, Loss  0.539817, Average Loss  0.535230, Time  0.261801
2021-09-10 03:01:59.156110 : Epoch 10, Batch     65, Loss  0.545513, Average Loss  0.535228, Time  0.258849
2021-09-10 03:02:01.063825 : Epoch 10, Batch     66, Loss  0.533805, Average Loss  0.535220, Time  0.268165
2021-09-10 03:02:02.941898 : Epoch 10, Batch     67, Loss  0.551489, Average Loss  0.535313, Time  0.260394
2021-09-10 03:02:04.828810 : Epoch 10, Batch     68, Loss  0.536399, Average Loss  0.535348, Time  0.261429
2021-09-10 03:02:06.706940 : Epoch 10, Batch     69, Loss  0.532079, Average Loss  0.535305, Time  0.262106
2021-09-10 03:02:08.616836 : Epoch 10, Batch     70, Loss  0.536332, Average Loss  0.535341, Time  0.268391
2021-09-10 03:02:10.522085 : Epoch 10, Batch     71, Loss  0.537284, Average Loss  0.535305, Time  0.258177
2021-09-10 03:02:12.442786 : Epoch 10, Batch     72, Loss  0.541040, Average Loss  0.535324, Time  0.258225
2021-09-10 03:02:14.364989 : Epoch 10, Batch     73, Loss  0.534429, Average Loss  0.535342, Time  0.262455
2021-09-10 03:02:16.292109 : Epoch 10, Batch     74, Loss  0.546960, Average Loss  0.535401, Time  0.263797
2021-09-10 03:02:18.185786 : Epoch 10, Batch     75, Loss  0.545769, Average Loss  0.535538, Time  0.264818
2021-09-10 03:02:20.087689 : Epoch 10, Batch     76, Loss  0.529101, Average Loss  0.535441, Time  0.261829
2021-09-10 03:02:21.961908 : Epoch 10, Batch     77, Loss  0.527735, Average Loss  0.535454, Time  0.258457
2021-09-10 03:02:23.846836 : Epoch 10, Batch     78, Loss  0.538320, Average Loss  0.535502, Time  0.258990
2021-09-10 03:02:25.757943 : Epoch 10, Batch     79, Loss  0.533771, Average Loss  0.535504, Time  0.258576
2021-09-10 03:02:27.656787 : Epoch 10, Batch     80, Loss  0.548134, Average Loss  0.535565, Time  0.257987
2021-09-10 03:02:29.570807 : Epoch 10, Batch     81, Loss  0.534470, Average Loss  0.535543, Time  0.258431
2021-09-10 03:02:31.479815 : Epoch 10, Batch     82, Loss  0.533325, Average Loss  0.535535, Time  0.258128
2021-09-10 03:02:33.378970 : Epoch 10, Batch     83, Loss  0.539688, Average Loss  0.535503, Time  0.259874
2021-09-10 03:02:35.279826 : Epoch 10, Batch     84, Loss  0.533347, Average Loss  0.535537, Time  0.258255
2021-09-10 03:02:37.168131 : Epoch 10, Batch     85, Loss  0.548135, Average Loss  0.535657, Time  0.260975
2021-09-10 03:02:39.065078 : Epoch 10, Batch     86, Loss  0.541966, Average Loss  0.535735, Time  0.258300
2021-09-10 03:02:40.995799 : Epoch 10, Batch     87, Loss  0.535024, Average Loss  0.535654, Time  0.258308
2021-09-10 03:02:45.106772 : Epoch 10, Batch     88, Loss  0.531348, Average Loss  0.535569, Time  0.266671
2021-09-10 03:02:47.028876 : Epoch 10, Batch     89, Loss  0.540335, Average Loss  0.535703, Time  0.258723
2021-09-10 03:02:48.942797 : Epoch 10, Batch     90, Loss  0.543155, Average Loss  0.535729, Time  0.258025
2021-09-10 03:02:50.819916 : Epoch 10, Batch     91, Loss  0.533874, Average Loss  0.535674, Time  0.259027
2021-09-10 03:02:52.706835 : Epoch 10, Batch     92, Loss  0.526515, Average Loss  0.535625, Time  0.262538
2021-09-10 03:02:54.634947 : Epoch 10, Batch     93, Loss  0.527385, Average Loss  0.535596, Time  0.268111
2021-09-10 03:02:56.539074 : Epoch 10, Batch     94, Loss  0.532805, Average Loss  0.535662, Time  0.264272
2021-09-10 03:02:58.412818 : Epoch 10, Batch     95, Loss  0.536915, Average Loss  0.535727, Time  0.258430
2021-09-10 03:03:00.321880 : Epoch 10, Batch     96, Loss  0.532020, Average Loss  0.535707, Time  0.258992
2021-09-10 03:03:02.206874 : Epoch 10, Batch     97, Loss  0.537854, Average Loss  0.535769, Time  0.258336
2021-09-10 03:03:04.100812 : Epoch 10, Batch     98, Loss  0.541121, Average Loss  0.535704, Time  0.258378
2021-09-10 03:03:06.000798 : Epoch 10, Batch     99, Loss  0.537471, Average Loss  0.535734, Time  0.262187
2021-09-10 03:03:07.882793 : Epoch 10, Batch    100, Loss  0.537620, Average Loss  0.535771, Time  0.258656
2021-09-10 03:03:09.766454 : Epoch 10, Batch    101, Loss  0.530034, Average Loss  0.535724, Time  0.260517
2021-09-10 03:03:11.666893 : Epoch 10, Batch    102, Loss  0.530990, Average Loss  0.535613, Time  0.265426
2021-09-10 03:03:13.580086 : Epoch 10, Batch    103, Loss  0.550475, Average Loss  0.535670, Time  0.261424
2021-09-10 03:03:15.471106 : Epoch 10, Batch    104, Loss  0.525033, Average Loss  0.535678, Time  0.263275
2021-09-10 03:03:17.384872 : Epoch 10, Batch    105, Loss  0.538455, Average Loss  0.535707, Time  0.259230
2021-09-10 03:03:19.254859 : Epoch 10, Batch    106, Loss  0.531403, Average Loss  0.535646, Time  0.258507
2021-09-10 03:03:21.199815 : Epoch 10, Batch    107, Loss  0.527161, Average Loss  0.535627, Time  0.263191
2021-09-10 03:03:23.108090 : Epoch 10, Batch    108, Loss  0.535566, Average Loss  0.535629, Time  0.267607
2021-09-10 03:03:25.007085 : Epoch 10, Batch    109, Loss  0.528429, Average Loss  0.535576, Time  0.260257
2021-09-10 03:03:26.908108 : Epoch 10, Batch    110, Loss  0.533839, Average Loss  0.535619, Time  0.267014
2021-09-10 03:03:28.784796 : Epoch 10, Batch    111, Loss  0.533725, Average Loss  0.535596, Time  0.260375
2021-09-10 03:03:30.672892 : Epoch 10, Batch    112, Loss  0.530658, Average Loss  0.535551, Time  0.259308
2021-09-10 03:03:32.571793 : Epoch 10, Batch    113, Loss  0.515800, Average Loss  0.535473, Time  0.262569
2021-09-10 03:03:34.460986 : Epoch 10, Batch    114, Loss  0.554081, Average Loss  0.535689, Time  0.268245
2021-09-10 03:03:36.356078 : Epoch 10, Batch    115, Loss  0.535017, Average Loss  0.535620, Time  0.258932
2021-09-10 03:03:38.268804 : Epoch 10, Batch    116, Loss  0.525099, Average Loss  0.535641, Time  0.262056
2021-09-10 03:03:40.167840 : Epoch 10, Batch    117, Loss  0.534517, Average Loss  0.535666, Time  0.273870
2021-09-10 03:04:49.684748 : CheckPoint: Validation Loss  0.00022437, Best Loss  0.00021720
2021-09-10 03:04:51.613778 : Epoch 10, Batch    118, Loss  0.544186, Average Loss  0.535676, Time  0.265790
2021-09-10 03:04:53.506052 : Epoch 10, Batch    119, Loss  0.525634, Average Loss  0.535584, Time  0.257674
2021-09-10 03:04:55.394773 : Epoch 10, Batch    120, Loss  0.542642, Average Loss  0.535630, Time  0.259650
2021-09-10 03:04:57.286909 : Epoch 10, Batch    121, Loss  0.544620, Average Loss  0.535638, Time  0.258170
2021-09-10 03:04:59.195930 : Epoch 10, Batch    122, Loss  0.528987, Average Loss  0.535612, Time  0.267841
2021-09-10 03:05:01.102102 : Epoch 10, Batch    123, Loss  0.537532, Average Loss  0.535662, Time  0.264657
2021-09-10 03:05:03.023796 : Epoch 10, Batch    124, Loss  0.538164, Average Loss  0.535661, Time  0.278203
2021-09-10 03:05:04.896904 : Epoch 10, Batch    125, Loss  0.533173, Average Loss  0.535601, Time  0.264191
2021-09-10 03:05:06.785937 : Epoch 10, Batch    126, Loss  0.539169, Average Loss  0.535586, Time  0.261493
2021-09-10 03:05:08.671088 : Epoch 10, Batch    127, Loss  0.537707, Average Loss  0.535537, Time  0.258297
2021-09-10 03:05:10.576853 : Epoch 10, Batch    128, Loss  0.538827, Average Loss  0.535522, Time  0.261506
2021-09-10 03:05:12.469173 : Epoch 10, Batch    129, Loss  0.530847, Average Loss  0.535472, Time  0.260494
2021-09-10 03:05:14.353922 : Epoch 10, Batch    130, Loss  0.531170, Average Loss  0.535452, Time  0.263235
2021-09-10 03:05:16.222082 : Epoch 10, Batch    131, Loss  0.526690, Average Loss  0.535427, Time  0.258394
2021-09-10 03:05:18.087789 : Epoch 10, Batch    132, Loss  0.533022, Average Loss  0.535484, Time  0.262497
2021-09-10 03:05:19.981821 : Epoch 10, Batch    133, Loss  0.549072, Average Loss  0.535547, Time  0.259255
2021-09-10 03:05:21.870081 : Epoch 10, Batch    134, Loss  0.545401, Average Loss  0.535594, Time  0.264383
2021-09-10 03:05:23.741107 : Epoch 10, Batch    135, Loss  0.519274, Average Loss  0.535531, Time  0.259097
2021-09-10 03:05:25.630086 : Epoch 10, Batch    136, Loss  0.536860, Average Loss  0.535566, Time  0.265371
2021-09-10 03:05:27.520814 : Epoch 10, Batch    137, Loss  0.540943, Average Loss  0.535553, Time  0.258100
2021-09-10 03:05:29.392809 : Epoch 10, Batch    138, Loss  0.542540, Average Loss  0.535586, Time  0.258488
2021-09-10 03:05:31.272073 : Epoch 10, Batch    139, Loss  0.539162, Average Loss  0.535611, Time  0.265483
2021-09-10 03:05:33.154880 : Epoch 10, Batch    140, Loss  0.531072, Average Loss  0.535565, Time  0.258945
2021-09-10 03:05:35.056080 : Epoch 10, Batch    141, Loss  0.531783, Average Loss  0.535593, Time  0.258218
2021-09-10 03:05:36.961115 : Epoch 10, Batch    142, Loss  0.530885, Average Loss  0.535610, Time  0.263920
2021-09-10 03:05:38.858095 : Epoch 10, Batch    143, Loss  0.549087, Average Loss  0.535654, Time  0.258787
2021-09-10 03:05:40.714918 : Epoch 10, Batch    144, Loss  0.533912, Average Loss  0.535640, Time  0.258573
2021-09-10 03:05:42.590852 : Epoch 10, Batch    145, Loss  0.532430, Average Loss  0.535663, Time  0.262057
2021-09-10 03:05:44.490836 : Epoch 10, Batch    146, Loss  0.549863, Average Loss  0.535757, Time  0.260310
2021-09-10 03:05:46.384926 : Epoch 10, Batch    147, Loss  0.529856, Average Loss  0.535763, Time  0.267150
2021-09-10 03:05:48.247865 : Epoch 10, Batch    148, Loss  0.549703, Average Loss  0.535851, Time  0.261271
2021-09-10 03:05:50.135797 : Epoch 10, Batch    149, Loss  0.542985, Average Loss  0.535921, Time  0.265401
2021-09-10 03:05:52.024777 : Epoch 10, Batch    150, Loss  0.534559, Average Loss  0.535915, Time  0.264461
2021-09-10 03:05:53.908032 : Epoch 10, Batch    151, Loss  0.520129, Average Loss  0.535912, Time  0.263826
2021-09-10 03:05:55.793793 : Epoch 10, Batch    152, Loss  0.522203, Average Loss  0.535821, Time  0.265303
2021-09-10 03:05:57.691852 : Epoch 10, Batch    153, Loss  0.521987, Average Loss  0.535778, Time  0.261412
2021-09-10 03:05:59.584867 : Epoch 10, Batch    154, Loss  0.529389, Average Loss  0.535695, Time  0.260808
2021-09-10 03:06:01.476091 : Epoch 10, Batch    155, Loss  0.529488, Average Loss  0.535675, Time  0.258359
2021-09-10 03:06:03.372930 : Epoch 10, Batch    156, Loss  0.545186, Average Loss  0.535729, Time  0.258502
2021-09-10 03:06:03.637713 : CheckPoint: Validation Loss  0.00060763, Best Loss  0.00056427
2021-09-10 03:06:05.267101 : Epoch 10, Batch    157, Loss  0.542695, Average Loss  0.535799, Time  0.265715
2021-09-10 03:06:05.424765 : Epoch  8, Batch   2224, Loss  0.824125, Average Loss  0.868409, Time  0.347373
2021-09-10 03:06:07.154803 : Epoch 10, Batch    158, Loss  0.548943, Average Loss  0.535778, Time  0.261320
2021-09-10 03:06:07.256793 : Epoch  8, Batch   2225, Loss  0.834154, Average Loss  0.868227, Time  0.377952
2021-09-10 03:06:09.058827 : Epoch  8, Batch   2226, Loss  0.863804, Average Loss  0.868409, Time  0.372399
2021-09-10 03:06:09.090916 : Epoch 10, Batch    159, Loss  0.547256, Average Loss  0.535840, Time  0.258365
2021-09-10 03:06:10.939786 : Epoch  8, Batch   2227, Loss  0.874125, Average Loss  0.868337, Time  0.468808
2021-09-10 03:06:11.032949 : Epoch 10, Batch    160, Loss  0.544661, Average Loss  0.535864, Time  0.262712
2021-09-10 03:06:12.809892 : Epoch  8, Batch   2228, Loss  0.874416, Average Loss  0.868308, Time  0.453630
2021-09-10 03:06:12.912077 : Epoch 10, Batch    161, Loss  0.536632, Average Loss  0.535882, Time  0.263950
2021-09-10 03:06:14.611721 : Epoch  8, Batch   2229, Loss  0.886818, Average Loss  0.868347, Time  0.374440
2021-09-10 03:06:14.787785 : Epoch 10, Batch    162, Loss  0.539833, Average Loss  0.535918, Time  0.258546
2021-09-10 03:06:16.372239 : Epoch  8, Batch   2230, Loss  0.873499, Average Loss  0.868489, Time  0.356660
2021-09-10 03:06:16.791771 : Epoch 10, Batch    163, Loss  0.524143, Average Loss  0.535931, Time  0.263831
2021-09-10 03:06:18.200828 : Epoch  8, Batch   2231, Loss  0.894359, Average Loss  0.868705, Time  0.415432
2021-09-10 03:06:18.701822 : Epoch 10, Batch    164, Loss  0.532534, Average Loss  0.535903, Time  0.267931
2021-09-10 03:06:20.095955 : Epoch  8, Batch   2232, Loss  0.883953, Average Loss  0.868734, Time  0.470797
2021-09-10 03:06:20.590854 : Epoch 10, Batch    165, Loss  0.540647, Average Loss  0.535869, Time  0.258504
2021-09-10 03:06:21.914791 : Epoch  8, Batch   2233, Loss  0.886208, Average Loss  0.868747, Time  0.347369
2021-09-10 03:06:22.494961 : Epoch 10, Batch    166, Loss  0.530864, Average Loss  0.535840, Time  0.265043
2021-09-10 03:06:23.700782 : Epoch  8, Batch   2234, Loss  0.878559, Average Loss  0.868963, Time  0.360076
2021-09-10 03:06:24.368109 : Epoch 10, Batch    167, Loss  0.517471, Average Loss  0.535699, Time  0.271617
2021-09-10 03:06:25.473915 : Epoch  8, Batch   2235, Loss  0.845005, Average Loss  0.868788, Time  0.360303
2021-09-10 03:06:26.248792 : Epoch 10, Batch    168, Loss  0.526094, Average Loss  0.535669, Time  0.258087
2021-09-10 03:06:27.353416 : Epoch  8, Batch   2236, Loss  0.878050, Average Loss  0.868815, Time  0.463809
2021-09-10 03:06:28.146944 : Epoch 10, Batch    169, Loss  0.538531, Average Loss  0.535726, Time  0.262156
2021-09-10 03:06:29.205328 : Epoch  8, Batch   2237, Loss  0.829749, Average Loss  0.868590, Time  0.427676
2021-09-10 03:06:30.007842 : Epoch 10, Batch    170, Loss  0.530713, Average Loss  0.535730, Time  0.258952
2021-09-10 03:06:30.979283 : Epoch  8, Batch   2238, Loss  0.900505, Average Loss  0.868604, Time  0.359317
2021-09-10 03:06:31.903081 : Epoch 10, Batch    171, Loss  0.534393, Average Loss  0.535769, Time  0.259013
2021-09-10 03:06:32.779353 : Epoch  8, Batch   2239, Loss  0.853820, Average Loss  0.868379, Time  0.367884
2021-09-10 03:06:33.803822 : Epoch 10, Batch    172, Loss  0.529322, Average Loss  0.535739, Time  0.258359
2021-09-10 03:06:34.615626 : Epoch  8, Batch   2240, Loss  0.918541, Average Loss  0.868662, Time  0.420288
2021-09-10 03:06:35.687900 : Epoch 10, Batch    173, Loss  0.527463, Average Loss  0.535686, Time  0.258317
2021-09-10 03:06:36.457397 : Epoch  8, Batch   2241, Loss  0.872106, Average Loss  0.868677, Time  0.447678
2021-09-10 03:06:37.552903 : Epoch 10, Batch    174, Loss  0.529019, Average Loss  0.535621, Time  0.263409
2021-09-10 03:06:38.222829 : Epoch  8, Batch   2242, Loss  0.887578, Average Loss  0.868684, Time  0.358177
2021-09-10 03:06:39.440074 : Epoch 10, Batch    175, Loss  0.533769, Average Loss  0.535557, Time  0.260312
2021-09-10 03:06:40.034763 : Epoch  8, Batch   2243, Loss  0.862757, Average Loss  0.868753, Time  0.372412
2021-09-10 03:06:41.303653 : Epoch 10, Batch    176, Loss  0.526462, Average Loss  0.535504, Time  0.262053
2021-09-10 03:06:41.877948 : Epoch  8, Batch   2244, Loss  0.851792, Average Loss  0.868635, Time  0.384614
2021-09-10 03:06:43.161814 : Epoch 10, Batch    177, Loss  0.537659, Average Loss  0.535432, Time  0.258188
2021-09-10 03:06:43.767789 : Epoch  8, Batch   2245, Loss  0.886406, Average Loss  0.868700, Time  0.460266
2021-09-10 03:06:45.031896 : Epoch 10, Batch    178, Loss  0.518362, Average Loss  0.535353, Time  0.258353
2021-09-10 03:06:45.530776 : Epoch  8, Batch   2246, Loss  0.866877, Average Loss  0.868744, Time  0.343899
2021-09-10 03:06:46.909014 : Epoch 10, Batch    179, Loss  0.529512, Average Loss  0.535354, Time  0.263714
2021-09-10 03:06:47.286140 : Epoch  8, Batch   2247, Loss  0.901136, Average Loss  0.868841, Time  0.359110
2021-09-10 03:06:48.797166 : Epoch 10, Batch    180, Loss  0.528397, Average Loss  0.535387, Time  0.262315
2021-09-10 03:06:49.084172 : Epoch  8, Batch   2248, Loss  0.887305, Average Loss  0.868809, Time  0.357302
2021-09-10 03:06:50.677849 : Epoch 10, Batch    181, Loss  0.531434, Average Loss  0.535417, Time  0.265678
2021-09-10 03:06:50.984769 : Epoch  8, Batch   2249, Loss  0.872981, Average Loss  0.868877, Time  0.458702
2021-09-10 03:06:52.545829 : Epoch 10, Batch    182, Loss  0.535239, Average Loss  0.535404, Time  0.262203
2021-09-10 03:06:52.748818 : Epoch  8, Batch   2250, Loss  0.898567, Average Loss  0.868880, Time  0.357288
2021-09-10 03:06:54.427874 : Epoch 10, Batch    183, Loss  0.553686, Average Loss  0.535504, Time  0.260567
2021-09-10 03:06:54.556778 : Epoch  8, Batch   2251, Loss  0.853372, Average Loss  0.868752, Time  0.357425
2021-09-10 03:06:56.328873 : Epoch 10, Batch    184, Loss  0.532157, Average Loss  0.535535, Time  0.258868
2021-09-10 03:06:56.375197 : Epoch  8, Batch   2252, Loss  0.878175, Average Loss  0.868808, Time  0.372764
2021-09-10 03:06:58.230849 : Epoch 10, Batch    185, Loss  0.538834, Average Loss  0.535602, Time  0.265942
2021-09-10 03:06:58.307985 : Epoch  8, Batch   2253, Loss  0.870579, Average Loss  0.868760, Time  0.454972
2021-09-10 03:07:00.126296 : Epoch 10, Batch    186, Loss  0.532316, Average Loss  0.535561, Time  0.258338
2021-09-10 03:07:00.165765 : Epoch  8, Batch   2254, Loss  0.874405, Average Loss  0.868915, Time  0.423852
2021-09-10 03:07:01.948821 : Epoch  8, Batch   2255, Loss  0.894696, Average Loss  0.869119, Time  0.357612
2021-09-10 03:07:02.064103 : Epoch 10, Batch    187, Loss  0.554447, Average Loss  0.535685, Time  0.305584
2021-09-10 03:07:03.754175 : Epoch  8, Batch   2256, Loss  0.851973, Average Loss  0.868937, Time  0.361743
2021-09-10 03:07:05.613448 : Epoch  8, Batch   2257, Loss  0.888176, Average Loss  0.869032, Time  0.413033
2021-09-10 03:07:06.076035 : Epoch 10, Batch    188, Loss  0.552785, Average Loss  0.535821, Time  0.273265
2021-09-10 03:07:07.499880 : Epoch  8, Batch   2258, Loss  0.870480, Average Loss  0.869072, Time  0.474417
2021-09-10 03:07:07.927082 : Epoch 10, Batch    189, Loss  0.538751, Average Loss  0.535903, Time  0.261306
2021-09-10 03:07:09.305783 : Epoch  8, Batch   2259, Loss  0.859873, Average Loss  0.869093, Time  0.357975
2021-09-10 03:07:09.797767 : Epoch 10, Batch    190, Loss  0.525058, Average Loss  0.535814, Time  0.265524
2021-09-10 03:07:11.101110 : Epoch  8, Batch   2260, Loss  0.858690, Average Loss  0.869069, Time  0.361085
2021-09-10 03:07:11.677796 : Epoch 10, Batch    191, Loss  0.521728, Average Loss  0.535757, Time  0.267526
2021-09-10 03:07:12.904782 : Epoch  8, Batch   2261, Loss  0.855226, Average Loss  0.868904, Time  0.367308
2021-09-10 03:07:13.561769 : Epoch 10, Batch    192, Loss  0.534933, Average Loss  0.535719, Time  0.258276
2021-09-10 03:07:14.786785 : Epoch  8, Batch   2262, Loss  0.836537, Average Loss  0.868871, Time  0.453338
2021-09-10 03:07:15.475072 : Epoch 10, Batch    193, Loss  0.540478, Average Loss  0.535733, Time  0.264896
2021-09-10 03:07:16.551764 : Epoch  8, Batch   2263, Loss  0.835639, Average Loss  0.868780, Time  0.338866
2021-09-10 03:07:17.340091 : Epoch 10, Batch    194, Loss  0.529876, Average Loss  0.535638, Time  0.257996
2021-09-10 03:07:18.341780 : Epoch  8, Batch   2264, Loss  0.868006, Average Loss  0.868808, Time  0.366115
2021-09-10 03:07:19.228891 : Epoch 10, Batch    195, Loss  0.535725, Average Loss  0.535659, Time  0.260143
2021-09-10 03:07:20.131836 : Epoch  8, Batch   2265, Loss  0.853086, Average Loss  0.868734, Time  0.355994
2021-09-10 03:07:21.144791 : Epoch 10, Batch    196, Loss  0.523474, Average Loss  0.535652, Time  0.258645
2021-09-10 03:07:22.025779 : Epoch  8, Batch   2266, Loss  0.870734, Average Loss  0.868729, Time  0.453998
2021-09-10 03:07:23.057800 : Epoch 10, Batch    197, Loss  0.517042, Average Loss  0.535634, Time  0.262638
2021-09-10 03:07:23.801921 : Epoch  8, Batch   2267, Loss  0.875261, Average Loss  0.868939, Time  0.350580
2021-09-10 03:07:24.950847 : Epoch 10, Batch    198, Loss  0.535126, Average Loss  0.535523, Time  0.262561
2021-09-10 03:07:25.586964 : Epoch  8, Batch   2268, Loss  0.858312, Average Loss  0.868832, Time  0.368339
2021-09-10 03:07:26.847913 : Epoch 10, Batch    199, Loss  0.529426, Average Loss  0.535480, Time  0.258575
2021-09-10 03:07:27.397782 : Epoch  8, Batch   2269, Loss  0.840843, Average Loss  0.868701, Time  0.364862
2021-09-10 03:07:28.730928 : Epoch 10, Batch    200, Loss  0.524677, Average Loss  0.535416, Time  0.259459
2021-09-10 03:07:29.275881 : Epoch  8, Batch   2270, Loss  0.863676, Average Loss  0.868614, Time  0.469108
2021-09-10 03:07:30.608085 : Epoch 10, Batch    201, Loss  0.542550, Average Loss  0.535368, Time  0.268695
2021-09-10 03:07:31.054776 : Epoch  8, Batch   2271, Loss  0.866065, Average Loss  0.868410, Time  0.363446
2021-09-10 03:07:32.509867 : Epoch 10, Batch    202, Loss  0.530100, Average Loss  0.535373, Time  0.258543
2021-09-10 03:07:32.835968 : Epoch  8, Batch   2272, Loss  0.885408, Average Loss  0.868651, Time  0.363095
2021-09-10 03:07:34.432144 : Epoch 10, Batch    203, Loss  0.528936, Average Loss  0.535357, Time  0.284056
2021-09-10 03:07:34.604902 : Epoch  8, Batch   2273, Loss  0.875597, Average Loss  0.868649, Time  0.375967
2021-09-10 03:07:36.338142 : Epoch 10, Batch    204, Loss  0.545471, Average Loss  0.535337, Time  0.279587
2021-09-10 03:07:36.487628 : Epoch  8, Batch   2274, Loss  0.838467, Average Loss  0.868560, Time  0.454439
2021-09-10 03:07:38.260770 : Epoch  8, Batch   2275, Loss  0.856182, Average Loss  0.868472, Time  0.355069
2021-09-10 03:07:38.299300 : Epoch 10, Batch    205, Loss  0.534769, Average Loss  0.535273, Time  0.258419
2021-09-10 03:07:40.046210 : Epoch  8, Batch   2276, Loss  0.889808, Average Loss  0.868698, Time  0.357318
2021-09-10 03:07:40.233757 : Epoch 10, Batch    206, Loss  0.536721, Average Loss  0.535202, Time  0.257865
2021-09-10 03:07:41.853787 : Epoch  8, Batch   2277, Loss  0.865708, Average Loss  0.868688, Time  0.376702
2021-09-10 03:07:42.147295 : Epoch 10, Batch    207, Loss  0.537537, Average Loss  0.535289, Time  0.258482
2021-09-10 03:07:43.773119 : Epoch  8, Batch   2278, Loss  0.881674, Average Loss  0.868694, Time  0.454780
2021-09-10 03:07:44.065788 : Epoch 10, Batch    208, Loss  0.551288, Average Loss  0.535348, Time  0.258165
2021-09-10 03:07:45.628363 : Epoch  8, Batch   2279, Loss  0.858678, Average Loss  0.868605, Time  0.415234
2021-09-10 03:07:45.955870 : Epoch 10, Batch    209, Loss  0.532003, Average Loss  0.535290, Time  0.258517
2021-09-10 03:07:47.452962 : Epoch  8, Batch   2280, Loss  0.867526, Average Loss  0.868446, Time  0.358326
2021-09-10 03:07:47.880845 : Epoch 10, Batch    210, Loss  0.529092, Average Loss  0.535265, Time  0.258154
2021-09-10 03:07:49.273095 : Epoch  8, Batch   2281, Loss  0.862831, Average Loss  0.868563, Time  0.358292
2021-09-10 03:07:49.789922 : Epoch 10, Batch    211, Loss  0.541884, Average Loss  0.535290, Time  0.258232
2021-09-10 03:07:51.115944 : Epoch  8, Batch   2282, Loss  0.857919, Average Loss  0.868616, Time  0.423219
2021-09-10 03:07:51.698788 : Epoch 10, Batch    212, Loss  0.533184, Average Loss  0.535233, Time  0.258026
2021-09-10 03:07:53.029116 : Epoch  8, Batch   2283, Loss  0.864628, Average Loss  0.868471, Time  0.466293
2021-09-10 03:07:53.621915 : Epoch 10, Batch    213, Loss  0.544907, Average Loss  0.535321, Time  0.258271
2021-09-10 03:07:54.804814 : Epoch  8, Batch   2284, Loss  0.871098, Average Loss  0.868406, Time  0.346342
2021-09-10 03:07:55.538959 : Epoch 10, Batch    214, Loss  0.535018, Average Loss  0.535322, Time  0.258012
2021-09-10 03:07:56.581834 : Epoch  8, Batch   2285, Loss  0.886023, Average Loss  0.868481, Time  0.362181
2021-09-10 03:07:57.440868 : Epoch 10, Batch    215, Loss  0.537880, Average Loss  0.535362, Time  0.260604
2021-09-10 03:07:58.353838 : Epoch  8, Batch   2286, Loss  0.851776, Average Loss  0.868412, Time  0.356172
2021-09-10 03:07:59.346804 : Epoch 10, Batch    216, Loss  0.520591, Average Loss  0.535232, Time  0.258193
2021-09-10 03:08:00.245770 : Epoch  8, Batch   2287, Loss  0.898595, Average Loss  0.868676, Time  0.465213
2021-09-10 03:08:01.246815 : Epoch 10, Batch    217, Loss  0.532067, Average Loss  0.535246, Time  0.258452
2021-09-10 03:08:02.165642 : Epoch  8, Batch   2288, Loss  0.900562, Average Loss  0.868762, Time  0.458660
2021-09-10 03:08:04.038596 : Epoch  8, Batch   2289, Loss  0.900737, Average Loss  0.869099, Time  0.362405
2021-09-10 03:08:05.805862 : Epoch  8, Batch   2290, Loss  0.887937, Average Loss  0.869212, Time  0.363968
2021-09-10 03:08:07.642881 : Epoch  8, Batch   2291, Loss  0.866075, Average Loss  0.869158, Time  0.403787
2021-09-10 03:08:09.513796 : Epoch  8, Batch   2292, Loss  0.884516, Average Loss  0.869193, Time  0.450443
2021-09-10 03:08:11.331080 : Epoch  8, Batch   2293, Loss  0.849817, Average Loss  0.869247, Time  0.366444
2021-09-10 03:08:13.135784 : Epoch  8, Batch   2294, Loss  0.852826, Average Loss  0.869176, Time  0.364879
2021-09-10 03:08:14.922798 : Epoch  8, Batch   2295, Loss  0.815531, Average Loss  0.868880, Time  0.367496
2021-09-10 03:08:16.859892 : Epoch  8, Batch   2296, Loss  0.897626, Average Loss  0.868810, Time  0.455382
2021-09-10 03:08:18.728341 : Epoch  8, Batch   2297, Loss  0.874609, Average Loss  0.868909, Time  0.434228
2021-09-10 03:08:20.548899 : Epoch  8, Batch   2298, Loss  0.840240, Average Loss  0.868919, Time  0.366471
2021-09-10 03:08:22.316783 : Epoch  8, Batch   2299, Loss  0.890028, Average Loss  0.868846, Time  0.365366
2021-09-10 03:08:24.206784 : Epoch  8, Batch   2300, Loss  0.821764, Average Loss  0.868536, Time  0.425884
2021-09-10 03:08:26.099784 : Epoch  8, Batch   2301, Loss  0.849909, Average Loss  0.868363, Time  0.451531
2021-09-10 03:08:27.860101 : Epoch  8, Batch   2302, Loss  0.841312, Average Loss  0.868173, Time  0.336005
2021-09-10 03:08:29.634796 : Epoch  8, Batch   2303, Loss  0.893899, Average Loss  0.868377, Time  0.357731
2021-09-10 03:08:31.404644 : Epoch  8, Batch   2304, Loss  0.829470, Average Loss  0.868174, Time  0.360841
2021-09-10 03:08:33.283842 : Epoch  8, Batch   2305, Loss  0.896835, Average Loss  0.868386, Time  0.472094
2021-09-10 03:08:35.070113 : Epoch  8, Batch   2306, Loss  0.849756, Average Loss  0.868310, Time  0.362554
2021-09-10 03:08:36.859840 : Epoch  8, Batch   2307, Loss  0.835385, Average Loss  0.868159, Time  0.366584
2021-09-10 03:08:38.687809 : Epoch  8, Batch   2308, Loss  0.870093, Average Loss  0.868058, Time  0.368458
2021-09-10 03:08:40.597140 : Epoch  8, Batch   2309, Loss  0.847529, Average Loss  0.867831, Time  0.468113
2021-09-10 03:08:42.476776 : Epoch  8, Batch   2310, Loss  0.869545, Average Loss  0.867882, Time  0.437583
2021-09-10 03:08:44.276783 : Epoch  8, Batch   2311, Loss  0.867360, Average Loss  0.867929, Time  0.360523
2021-09-10 03:08:46.052189 : Epoch  8, Batch   2312, Loss  0.903804, Average Loss  0.868001, Time  0.358265
2021-09-10 03:08:47.905133 : Epoch  8, Batch   2313, Loss  0.862339, Average Loss  0.867973, Time  0.422198
2021-09-10 03:08:49.798140 : Epoch  8, Batch   2314, Loss  0.868596, Average Loss  0.868002, Time  0.466207
2021-09-10 03:08:51.588893 : Epoch  8, Batch   2315, Loss  0.900565, Average Loss  0.868261, Time  0.358188
2021-09-10 03:08:53.368769 : Epoch  8, Batch   2316, Loss  0.863785, Average Loss  0.868210, Time  0.359268
2021-09-10 03:08:55.164785 : Epoch  8, Batch   2317, Loss  0.865017, Average Loss  0.868203, Time  0.369690
2021-09-10 03:08:57.044855 : Epoch  8, Batch   2318, Loss  0.854319, Average Loss  0.868128, Time  0.456738
2021-09-10 03:08:58.839787 : Epoch  8, Batch   2319, Loss  0.874531, Average Loss  0.868041, Time  0.347672
2021-09-10 03:09:00.649788 : Epoch  8, Batch   2320, Loss  0.869066, Average Loss  0.867994, Time  0.376454
2021-09-10 03:09:02.501351 : Epoch  8, Batch   2321, Loss  0.879269, Average Loss  0.867940, Time  0.364823
2021-09-10 03:09:04.391879 : Epoch  8, Batch   2322, Loss  0.878470, Average Loss  0.867917, Time  0.479539
2021-09-10 03:09:06.231120 : Epoch  8, Batch   2323, Loss  0.865378, Average Loss  0.867849, Time  0.430724
2021-09-10 03:09:11.138853 : CheckPoint: Validation Loss  0.00021491, Best Loss  0.00021491
2021-09-10 03:09:11.252701 : Best Model Updated
2021-09-10 03:09:14.227864 : Epoch 10, Batch    218, Loss  0.535382, Average Loss  0.535310, Time  0.267834
2021-09-10 03:09:16.128835 : Epoch 10, Batch    219, Loss  0.548925, Average Loss  0.535342, Time  0.258585
2021-09-10 03:09:18.045813 : Epoch 10, Batch    220, Loss  0.518819, Average Loss  0.535263, Time  0.258117
2021-09-10 03:09:19.964794 : Epoch 10, Batch    221, Loss  0.536367, Average Loss  0.535275, Time  0.257945
2021-09-10 03:09:21.841812 : Epoch 10, Batch    222, Loss  0.531947, Average Loss  0.535290, Time  0.263124
2021-09-10 03:09:23.730767 : Epoch 10, Batch    223, Loss  0.561313, Average Loss  0.535423, Time  0.258500
2021-09-10 03:09:25.636089 : Epoch 10, Batch    224, Loss  0.525523, Average Loss  0.535345, Time  0.270535
2021-09-10 03:09:27.530962 : Epoch 10, Batch    225, Loss  0.542062, Average Loss  0.535400, Time  0.258592
2021-09-10 03:09:29.428988 : Epoch 10, Batch    226, Loss  0.533074, Average Loss  0.535397, Time  0.259733
2021-09-10 03:09:31.339807 : Epoch 10, Batch    227, Loss  0.539833, Average Loss  0.535437, Time  0.258519
2021-09-10 03:09:33.250771 : Epoch 10, Batch    228, Loss  0.543122, Average Loss  0.535530, Time  0.268607
2021-09-10 03:09:35.156116 : Epoch 10, Batch    229, Loss  0.541514, Average Loss  0.535516, Time  0.270986
2021-09-10 03:09:37.023984 : Epoch 10, Batch    230, Loss  0.529027, Average Loss  0.535445, Time  0.262108
2021-09-10 03:09:38.924807 : Epoch 10, Batch    231, Loss  0.541541, Average Loss  0.535479, Time  0.261524
2021-09-10 03:09:40.842780 : Epoch 10, Batch    232, Loss  0.550916, Average Loss  0.535567, Time  0.258716
2021-09-10 03:09:42.754939 : Epoch 10, Batch    233, Loss  0.551696, Average Loss  0.535678, Time  0.261478
2021-09-10 03:09:44.645788 : Epoch 10, Batch    234, Loss  0.526632, Average Loss  0.535609, Time  0.273744
2021-09-10 03:09:46.542988 : Epoch 10, Batch    235, Loss  0.530951, Average Loss  0.535492, Time  0.259043
2021-09-10 03:09:48.415890 : Epoch 10, Batch    236, Loss  0.529868, Average Loss  0.535465, Time  0.264206
2021-09-10 03:09:50.329872 : Epoch 10, Batch    237, Loss  0.547573, Average Loss  0.535511, Time  0.264312
2021-09-10 03:09:52.241795 : Epoch 10, Batch    238, Loss  0.536704, Average Loss  0.535492, Time  0.259073
2021-09-10 03:09:54.116791 : Epoch 10, Batch    239, Loss  0.526488, Average Loss  0.535444, Time  0.263614
2021-09-10 03:09:56.012826 : Epoch 10, Batch    240, Loss  0.536077, Average Loss  0.535476, Time  0.258349
2021-09-10 03:09:57.899792 : Epoch 10, Batch    241, Loss  0.526796, Average Loss  0.535497, Time  0.260552
2021-09-10 03:09:59.807821 : Epoch 10, Batch    242, Loss  0.532807, Average Loss  0.535469, Time  0.264385
2021-09-10 03:10:01.713811 : Epoch 10, Batch    243, Loss  0.538920, Average Loss  0.535538, Time  0.261682
2021-09-10 03:10:03.621832 : Epoch 10, Batch    244, Loss  0.534717, Average Loss  0.535503, Time  0.258278
2021-09-10 03:10:05.529505 : Epoch 10, Batch    245, Loss  0.538419, Average Loss  0.535430, Time  0.266623
2021-09-10 03:10:07.425918 : Epoch 10, Batch    246, Loss  0.528089, Average Loss  0.535378, Time  0.258898
2021-09-10 03:10:09.336787 : Epoch 10, Batch    247, Loss  0.529514, Average Loss  0.535246, Time  0.258295
2021-09-10 03:10:11.221897 : Epoch 10, Batch    248, Loss  0.546727, Average Loss  0.535358, Time  0.262411
2021-09-10 03:10:13.124987 : Epoch 10, Batch    249, Loss  0.530791, Average Loss  0.535366, Time  0.262918
2021-09-10 03:10:15.016798 : Epoch 10, Batch    250, Loss  0.530151, Average Loss  0.535246, Time  0.258236
2021-09-10 03:10:16.908862 : Epoch 10, Batch    251, Loss  0.530823, Average Loss  0.535162, Time  0.266227
2021-09-10 03:10:18.815891 : Epoch 10, Batch    252, Loss  0.537508, Average Loss  0.535113, Time  0.260479
2021-09-10 03:10:20.697080 : Epoch 10, Batch    253, Loss  0.527542, Average Loss  0.535137, Time  0.262515
2021-09-10 03:10:22.578883 : Epoch 10, Batch    254, Loss  0.532912, Average Loss  0.535125, Time  0.264742
2021-09-10 03:10:24.466819 : Epoch 10, Batch    255, Loss  0.531127, Average Loss  0.535080, Time  0.262415
2021-09-10 03:10:26.373875 : Epoch 10, Batch    256, Loss  0.547131, Average Loss  0.535242, Time  0.267454
2021-09-10 03:10:28.244923 : Epoch 10, Batch    257, Loss  0.515867, Average Loss  0.535101, Time  0.259123
2021-09-10 03:10:30.139769 : Epoch 10, Batch    258, Loss  0.524960, Average Loss  0.535023, Time  0.269926
2021-09-10 03:10:32.109773 : Epoch 10, Batch    259, Loss  0.519926, Average Loss  0.534917, Time  0.258386
2021-09-10 03:10:33.995885 : Epoch 10, Batch    260, Loss  0.541262, Average Loss  0.535009, Time  0.258948
2021-09-10 03:10:35.896089 : Epoch 10, Batch    261, Loss  0.540288, Average Loss  0.535131, Time  0.259879
2021-09-10 03:10:37.785914 : Epoch 10, Batch    262, Loss  0.527645, Average Loss  0.535174, Time  0.259032
2021-09-10 03:10:39.687090 : Epoch 10, Batch    263, Loss  0.542867, Average Loss  0.535257, Time  0.268962
2021-09-10 03:10:41.593883 : Epoch 10, Batch    264, Loss  0.526530, Average Loss  0.535191, Time  0.264291
2021-09-10 03:10:43.497091 : Epoch 10, Batch    265, Loss  0.524210, Average Loss  0.535084, Time  0.258270
2021-09-10 03:10:45.381936 : Epoch 10, Batch    266, Loss  0.540139, Average Loss  0.535116, Time  0.261473
2021-09-10 03:10:47.264813 : Epoch 10, Batch    267, Loss  0.532442, Average Loss  0.535021, Time  0.258204
2021-09-10 03:10:49.168898 : Epoch 10, Batch    268, Loss  0.547380, Average Loss  0.535076, Time  0.257941
2021-09-10 03:10:51.052085 : Epoch 10, Batch    269, Loss  0.533356, Average Loss  0.535082, Time  0.257676
2021-09-10 03:10:52.943083 : Epoch 10, Batch    270, Loss  0.542852, Average Loss  0.535115, Time  0.264605
2021-09-10 03:10:54.814964 : Epoch 10, Batch    271, Loss  0.535699, Average Loss  0.535107, Time  0.263369
2021-09-10 03:10:56.719882 : Epoch 10, Batch    272, Loss  0.530146, Average Loss  0.535052, Time  0.258175
2021-09-10 03:10:58.602899 : Epoch 10, Batch    273, Loss  0.522818, Average Loss  0.534994, Time  0.258290
2021-09-10 03:11:00.490077 : Epoch 10, Batch    274, Loss  0.547274, Average Loss  0.534996, Time  0.261426
2021-09-10 03:11:02.373859 : Epoch 10, Batch    275, Loss  0.533576, Average Loss  0.534935, Time  0.258361
2021-09-10 03:11:04.270955 : Epoch 10, Batch    276, Loss  0.541707, Average Loss  0.534998, Time  0.259827
2021-09-10 03:11:06.167086 : Epoch 10, Batch    277, Loss  0.539700, Average Loss  0.535058, Time  0.258878
2021-09-10 03:11:08.084105 : Epoch 10, Batch    278, Loss  0.533107, Average Loss  0.535032, Time  0.258752
2021-09-10 03:11:09.996781 : Epoch 10, Batch    279, Loss  0.541469, Average Loss  0.535070, Time  0.266974
2021-09-10 03:11:11.915092 : Epoch 10, Batch    280, Loss  0.528906, Average Loss  0.534974, Time  0.270787
2021-09-10 03:11:13.813809 : Epoch 10, Batch    281, Loss  0.544062, Average Loss  0.535022, Time  0.258567
2021-09-10 03:11:15.716761 : Epoch 10, Batch    282, Loss  0.541349, Average Loss  0.535062, Time  0.258360
2021-09-10 03:11:17.613773 : Epoch 10, Batch    283, Loss  0.529260, Average Loss  0.535010, Time  0.258994
2021-09-10 03:11:19.502846 : Epoch 10, Batch    284, Loss  0.534327, Average Loss  0.535015, Time  0.258181
2021-09-10 03:11:21.394926 : Epoch 10, Batch    285, Loss  0.533931, Average Loss  0.534944, Time  0.261925
2021-09-10 03:11:23.280924 : Epoch 10, Batch    286, Loss  0.535533, Average Loss  0.534912, Time  0.258605
2021-09-10 03:11:25.187784 : Epoch 10, Batch    287, Loss  0.540449, Average Loss  0.534939, Time  0.258210
2021-09-10 03:11:29.193921 : Epoch 10, Batch    288, Loss  0.535794, Average Loss  0.534961, Time  0.267071
2021-09-10 03:11:31.090923 : Epoch 10, Batch    289, Loss  0.532728, Average Loss  0.534923, Time  0.258339
2021-09-10 03:11:33.009091 : Epoch 10, Batch    290, Loss  0.528104, Average Loss  0.534848, Time  0.258126
2021-09-10 03:11:34.927871 : Epoch 10, Batch    291, Loss  0.536656, Average Loss  0.534862, Time  0.267631
2021-09-10 03:11:36.811844 : Epoch 10, Batch    292, Loss  0.529026, Average Loss  0.534874, Time  0.264355
2021-09-10 03:11:38.684092 : Epoch 10, Batch    293, Loss  0.545185, Average Loss  0.534963, Time  0.258271
2021-09-10 03:11:40.590089 : Epoch 10, Batch    294, Loss  0.529116, Average Loss  0.534945, Time  0.259022
2021-09-10 03:11:42.505084 : Epoch 10, Batch    295, Loss  0.550523, Average Loss  0.535013, Time  0.265674
2021-09-10 03:11:44.394161 : Epoch 10, Batch    296, Loss  0.546057, Average Loss  0.535083, Time  0.258437
2021-09-10 03:11:46.302075 : Epoch 10, Batch    297, Loss  0.546307, Average Loss  0.535125, Time  0.263549
2021-09-10 03:11:48.239963 : Epoch 10, Batch    298, Loss  0.524682, Average Loss  0.535043, Time  0.266513
2021-09-10 03:11:50.151091 : Epoch 10, Batch    299, Loss  0.532827, Average Loss  0.535020, Time  0.258252
2021-09-10 03:11:52.060849 : Epoch 10, Batch    300, Loss  0.534792, Average Loss  0.535006, Time  0.260069
2021-09-10 03:11:53.974104 : Epoch 10, Batch    301, Loss  0.532124, Average Loss  0.535016, Time  0.268808
2021-09-10 03:11:55.843877 : Epoch 10, Batch    302, Loss  0.531143, Average Loss  0.535017, Time  0.267270
2021-09-10 03:11:57.735077 : Epoch 10, Batch    303, Loss  0.536365, Average Loss  0.534946, Time  0.263205
2021-09-10 03:11:59.640034 : Epoch 10, Batch    304, Loss  0.538311, Average Loss  0.535013, Time  0.263072
2021-09-10 03:12:01.518093 : Epoch 10, Batch    305, Loss  0.537074, Average Loss  0.535006, Time  0.258170
2021-09-10 03:12:03.383835 : Epoch 10, Batch    306, Loss  0.526513, Average Loss  0.534981, Time  0.261679
2021-09-10 03:12:05.284778 : Epoch 10, Batch    307, Loss  0.532106, Average Loss  0.535006, Time  0.267960
2021-09-10 03:12:07.162780 : Epoch 10, Batch    308, Loss  0.525162, Average Loss  0.534954, Time  0.265007
2021-09-10 03:12:09.066876 : Epoch 10, Batch    309, Loss  0.541890, Average Loss  0.535021, Time  0.258513
2021-09-10 03:12:10.939885 : Epoch 10, Batch    310, Loss  0.526834, Average Loss  0.534986, Time  0.258380
2021-09-10 03:12:12.811786 : Epoch 10, Batch    311, Loss  0.542864, Average Loss  0.535032, Time  0.259783
2021-09-10 03:12:14.711088 : Epoch 10, Batch    312, Loss  0.524341, Average Loss  0.535001, Time  0.265277
2021-09-10 03:12:16.575606 : Epoch 10, Batch    313, Loss  0.530422, Average Loss  0.535074, Time  0.258810
2021-09-10 03:12:18.463095 : Epoch 10, Batch    314, Loss  0.538425, Average Loss  0.534995, Time  0.257995
2021-09-10 03:12:20.354106 : Epoch 10, Batch    315, Loss  0.531759, Average Loss  0.534979, Time  0.258419
2021-09-10 03:12:22.218097 : Epoch 10, Batch    316, Loss  0.531764, Average Loss  0.535012, Time  0.258250
2021-09-10 03:12:24.104107 : Epoch 10, Batch    317, Loss  0.535545, Average Loss  0.535018, Time  0.262765
2021-09-10 03:13:33.730750 : CheckPoint: Validation Loss  0.00021414, Best Loss  0.00021414
2021-09-10 03:13:33.828629 : Best Model Updated
2021-09-10 03:13:36.919862 : Epoch 10, Batch    318, Loss  0.537005, Average Loss  0.534982, Time  0.263630
2021-09-10 03:13:38.826820 : Epoch 10, Batch    319, Loss  0.528998, Average Loss  0.534998, Time  0.258322
2021-09-10 03:13:40.749803 : Epoch 10, Batch    320, Loss  0.526713, Average Loss  0.534919, Time  0.258082
2021-09-10 03:13:42.671768 : Epoch 10, Batch    321, Loss  0.525993, Average Loss  0.534826, Time  0.258228
2021-09-10 03:13:44.591839 : Epoch 10, Batch    322, Loss  0.532057, Average Loss  0.534841, Time  0.258101
2021-09-10 03:13:46.524913 : Epoch 10, Batch    323, Loss  0.519167, Average Loss  0.534749, Time  0.258700
2021-09-10 03:13:48.458851 : Epoch 10, Batch    324, Loss  0.535092, Average Loss  0.534734, Time  0.258164
2021-09-10 03:13:50.366829 : Epoch 10, Batch    325, Loss  0.517617, Average Loss  0.534656, Time  0.259027
2021-09-10 03:13:52.287056 : Epoch 10, Batch    326, Loss  0.534540, Average Loss  0.534633, Time  0.257900
2021-09-10 03:13:54.177764 : Epoch 10, Batch    327, Loss  0.524390, Average Loss  0.534566, Time  0.259076
2021-09-10 03:13:56.081890 : Epoch 10, Batch    328, Loss  0.513679, Average Loss  0.534441, Time  0.269974
2021-09-10 03:13:56.915775 : CheckPoint: Validation Loss  0.00061231, Best Loss  0.00056427
2021-09-10 03:13:57.966069 : Epoch 10, Batch    329, Loss  0.541573, Average Loss  0.534494, Time  0.258094
2021-09-10 03:13:58.776945 : Epoch  8, Batch   2324, Loss  0.866588, Average Loss  0.867625, Time  0.415682
2021-09-10 03:13:59.873919 : Epoch 10, Batch    330, Loss  0.524667, Average Loss  0.534462, Time  0.266117
2021-09-10 03:14:00.675790 : Epoch  8, Batch   2325, Loss  0.889562, Average Loss  0.867683, Time  0.454821
2021-09-10 03:14:01.759870 : Epoch 10, Batch    331, Loss  0.542319, Average Loss  0.534540, Time  0.262375
2021-09-10 03:14:02.463886 : Epoch  8, Batch   2326, Loss  0.862063, Average Loss  0.867696, Time  0.344475
2021-09-10 03:14:03.642883 : Epoch 10, Batch    332, Loss  0.530930, Average Loss  0.534529, Time  0.259532
2021-09-10 03:14:04.266768 : Epoch  8, Batch   2327, Loss  0.849872, Average Loss  0.867493, Time  0.355533
2021-09-10 03:14:05.521845 : Epoch 10, Batch    333, Loss  0.536234, Average Loss  0.534465, Time  0.258178
2021-09-10 03:14:06.067826 : Epoch  8, Batch   2328, Loss  0.890933, Average Loss  0.867614, Time  0.354615
2021-09-10 03:14:07.413934 : Epoch 10, Batch    334, Loss  0.541055, Average Loss  0.534443, Time  0.259429
2021-09-10 03:14:07.976780 : Epoch  8, Batch   2329, Loss  0.886151, Average Loss  0.867717, Time  0.454377
2021-09-10 03:14:09.281911 : Epoch 10, Batch    335, Loss  0.530614, Average Loss  0.534500, Time  0.258225
2021-09-10 03:14:09.872766 : Epoch  8, Batch   2330, Loss  0.874076, Average Loss  0.867862, Time  0.446857
2021-09-10 03:14:11.179860 : Epoch 10, Batch    336, Loss  0.535390, Average Loss  0.534493, Time  0.263152
2021-09-10 03:14:11.670774 : Epoch  8, Batch   2331, Loss  0.831503, Average Loss  0.867581, Time  0.360336
2021-09-10 03:14:13.050797 : Epoch 10, Batch    337, Loss  0.529392, Average Loss  0.534435, Time  0.258933
2021-09-10 03:14:13.486762 : Epoch  8, Batch   2332, Loss  0.891541, Average Loss  0.867896, Time  0.356010
2021-09-10 03:14:14.983822 : Epoch 10, Batch    338, Loss  0.546344, Average Loss  0.534454, Time  0.269093
2021-09-10 03:14:15.319839 : Epoch  8, Batch   2333, Loss  0.861910, Average Loss  0.867845, Time  0.390489
2021-09-10 03:14:16.894148 : Epoch 10, Batch    339, Loss  0.540708, Average Loss  0.534462, Time  0.265611
2021-09-10 03:14:17.217912 : Epoch  8, Batch   2334, Loss  0.834639, Average Loss  0.867696, Time  0.453605
2021-09-10 03:14:18.790839 : Epoch 10, Batch    340, Loss  0.535588, Average Loss  0.534484, Time  0.262299
2021-09-10 03:14:19.005770 : Epoch  8, Batch   2335, Loss  0.879635, Average Loss  0.867593, Time  0.347920
2021-09-10 03:14:20.710081 : Epoch 10, Batch    341, Loss  0.534203, Average Loss  0.534496, Time  0.263480
2021-09-10 03:14:20.804956 : Epoch  8, Batch   2336, Loss  0.882957, Average Loss  0.867696, Time  0.357199
2021-09-10 03:14:22.593275 : Epoch  8, Batch   2337, Loss  0.877621, Average Loss  0.867695, Time  0.356272
2021-09-10 03:14:22.669930 : Epoch 10, Batch    342, Loss  0.527328, Average Loss  0.534479, Time  0.264746
2021-09-10 03:14:24.477781 : Epoch  8, Batch   2338, Loss  0.870791, Average Loss  0.867674, Time  0.455042
2021-09-10 03:14:24.574956 : Epoch 10, Batch    343, Loss  0.533782, Average Loss  0.534402, Time  0.258519
2021-09-10 03:14:26.365964 : Epoch  8, Batch   2339, Loss  0.842458, Average Loss  0.867574, Time  0.444185
2021-09-10 03:14:26.479760 : Epoch 10, Batch    344, Loss  0.530685, Average Loss  0.534386, Time  0.258004
2021-09-10 03:14:28.172435 : Epoch  8, Batch   2340, Loss  0.875871, Average Loss  0.867734, Time  0.362610
2021-09-10 03:14:28.373042 : Epoch 10, Batch    345, Loss  0.528051, Average Loss  0.534364, Time  0.257765
2021-09-10 03:14:29.974269 : Epoch  8, Batch   2341, Loss  0.849571, Average Loss  0.867658, Time  0.356523
2021-09-10 03:14:30.275865 : Epoch 10, Batch    346, Loss  0.543311, Average Loss  0.534331, Time  0.258204
2021-09-10 03:14:31.818776 : Epoch  8, Batch   2342, Loss  0.906237, Average Loss  0.867885, Time  0.415475
2021-09-10 03:14:32.198777 : Epoch 10, Batch    347, Loss  0.532574, Average Loss  0.534345, Time  0.258030
2021-09-10 03:14:33.745775 : Epoch  8, Batch   2343, Loss  0.858525, Average Loss  0.867883, Time  0.458634
2021-09-10 03:14:34.117838 : Epoch 10, Batch    348, Loss  0.549382, Average Loss  0.534343, Time  0.258026
2021-09-10 03:14:35.603113 : Epoch  8, Batch   2344, Loss  0.891299, Average Loss  0.868098, Time  0.393812
2021-09-10 03:14:36.031835 : Epoch 10, Batch    349, Loss  0.528248, Average Loss  0.534270, Time  0.258167
2021-09-10 03:14:37.433766 : Epoch  8, Batch   2345, Loss  0.885330, Average Loss  0.868222, Time  0.376857
2021-09-10 03:14:37.958778 : Epoch 10, Batch    350, Loss  0.542186, Average Loss  0.534308, Time  0.257957
2021-09-10 03:14:39.245123 : Epoch  8, Batch   2346, Loss  0.867643, Average Loss  0.868057, Time  0.357890
2021-09-10 03:14:39.855816 : Epoch 10, Batch    351, Loss  0.541058, Average Loss  0.534412, Time  0.258262
2021-09-10 03:14:41.168819 : Epoch  8, Batch   2347, Loss  0.881736, Average Loss  0.868124, Time  0.460540
2021-09-10 03:14:41.807887 : Epoch 10, Batch    352, Loss  0.541160, Average Loss  0.534507, Time  0.258456
2021-09-10 03:14:43.056787 : Epoch  8, Batch   2348, Loss  0.880974, Average Loss  0.868164, Time  0.452257
2021-09-10 03:14:43.716895 : Epoch 10, Batch    353, Loss  0.542223, Average Loss  0.534608, Time  0.258937
2021-09-10 03:14:44.824224 : Epoch  8, Batch   2349, Loss  0.855803, Average Loss  0.868041, Time  0.363212
2021-09-10 03:14:45.627882 : Epoch 10, Batch    354, Loss  0.517596, Average Loss  0.534549, Time  0.258012
2021-09-10 03:14:46.586848 : Epoch  8, Batch   2350, Loss  0.852187, Average Loss  0.867854, Time  0.355960
2021-09-10 03:14:47.553072 : Epoch 10, Batch    355, Loss  0.519608, Average Loss  0.534500, Time  0.258658
2021-09-10 03:14:48.400787 : Epoch  8, Batch   2351, Loss  0.856846, Average Loss  0.867800, Time  0.396586
2021-09-10 03:14:49.471046 : Epoch 10, Batch    356, Loss  0.536865, Average Loss  0.534458, Time  0.257999
2021-09-10 03:14:50.305808 : Epoch  8, Batch   2352, Loss  0.867085, Average Loss  0.867832, Time  0.462168
2021-09-10 03:14:51.395058 : Epoch 10, Batch    357, Loss  0.530625, Average Loss  0.534398, Time  0.258028
2021-09-10 03:14:52.066574 : Epoch  8, Batch   2353, Loss  0.869330, Average Loss  0.867918, Time  0.362935
2021-09-10 03:14:53.309815 : Epoch 10, Batch    358, Loss  0.535747, Average Loss  0.534332, Time  0.258443
2021-09-10 03:14:53.868815 : Epoch  8, Batch   2354, Loss  0.869000, Average Loss  0.867719, Time  0.357290
2021-09-10 03:14:55.198066 : Epoch 10, Batch    359, Loss  0.538340, Average Loss  0.534288, Time  0.258234
2021-09-10 03:14:55.683763 : Epoch  8, Batch   2355, Loss  0.892196, Average Loss  0.867830, Time  0.364733
2021-09-10 03:14:57.105766 : Epoch 10, Batch    360, Loss  0.522352, Average Loss  0.534176, Time  0.257942
2021-09-10 03:14:57.568901 : Epoch  8, Batch   2356, Loss  0.883478, Average Loss  0.867883, Time  0.467362
2021-09-10 03:14:59.020824 : Epoch 10, Batch    361, Loss  0.535449, Average Loss  0.534170, Time  0.258344
2021-09-10 03:14:59.343118 : Epoch  8, Batch   2357, Loss  0.887814, Average Loss  0.867990, Time  0.335738
2021-09-10 03:15:00.913852 : Epoch 10, Batch    362, Loss  0.535722, Average Loss  0.534150, Time  0.258535
2021-09-10 03:15:01.133773 : Epoch  8, Batch   2358, Loss  0.877689, Average Loss  0.868070, Time  0.371090
2021-09-10 03:15:02.799594 : Epoch 10, Batch    363, Loss  0.535251, Average Loss  0.534205, Time  0.258563
2021-09-10 03:15:02.920588 : Epoch  8, Batch   2359, Loss  0.850302, Average Loss  0.867943, Time  0.357266
2021-09-10 03:15:04.696891 : Epoch 10, Batch    364, Loss  0.530500, Average Loss  0.534195, Time  0.258123
2021-09-10 03:15:04.844841 : Epoch  8, Batch   2360, Loss  0.842293, Average Loss  0.867721, Time  0.504780
2021-09-10 03:15:06.653794 : Epoch 10, Batch    365, Loss  0.535070, Average Loss  0.534167, Time  0.266922
2021-09-10 03:15:06.856150 : Epoch  8, Batch   2361, Loss  0.858755, Average Loss  0.867638, Time  0.462970
2021-09-10 03:15:08.558760 : Epoch 10, Batch    366, Loss  0.532176, Average Loss  0.534174, Time  0.260179
2021-09-10 03:15:08.647951 : Epoch  8, Batch   2362, Loss  0.892052, Average Loss  0.867921, Time  0.363147
2021-09-10 03:15:10.424134 : Epoch  8, Batch   2363, Loss  0.874234, Average Loss  0.867931, Time  0.357534
2021-09-10 03:15:10.467870 : Epoch 10, Batch    367, Loss  0.523597, Average Loss  0.534204, Time  0.261983
2021-09-10 03:15:12.268785 : Epoch  8, Batch   2364, Loss  0.865970, Average Loss  0.867982, Time  0.408743
2021-09-10 03:15:12.368868 : Epoch 10, Batch    368, Loss  0.534593, Average Loss  0.534247, Time  0.262660
2021-09-10 03:15:14.214782 : Epoch  8, Batch   2365, Loss  0.897791, Average Loss  0.868035, Time  0.465200
2021-09-10 03:15:14.268931 : Epoch 10, Batch    369, Loss  0.546458, Average Loss  0.534286, Time  0.261505
2021-09-10 03:15:16.151046 : Epoch  8, Batch   2366, Loss  0.842592, Average Loss  0.867989, Time  0.460603
2021-09-10 03:15:16.186543 : Epoch 10, Batch    370, Loss  0.545390, Average Loss  0.534360, Time  0.258846
2021-09-10 03:15:17.983875 : Epoch  8, Batch   2367, Loss  0.885606, Average Loss  0.868168, Time  0.357001
2021-09-10 03:15:18.073956 : Epoch 10, Batch    371, Loss  0.527239, Average Loss  0.534324, Time  0.260820
2021-09-10 03:15:19.867810 : Epoch  8, Batch   2368, Loss  0.873183, Average Loss  0.868251, Time  0.358995
2021-09-10 03:15:19.951903 : Epoch 10, Batch    372, Loss  0.530888, Average Loss  0.534332, Time  0.259317
2021-09-10 03:15:21.692826 : Epoch  8, Batch   2369, Loss  0.842574, Average Loss  0.868084, Time  0.379275
2021-09-10 03:15:21.855087 : Epoch 10, Batch    373, Loss  0.536917, Average Loss  0.534379, Time  0.258801
2021-09-10 03:15:23.595794 : Epoch  8, Batch   2370, Loss  0.848889, Average Loss  0.868154, Time  0.464717
2021-09-10 03:15:23.742124 : Epoch 10, Batch    374, Loss  0.537863, Average Loss  0.534423, Time  0.258411
2021-09-10 03:15:25.383807 : Epoch  8, Batch   2371, Loss  0.912121, Average Loss  0.868288, Time  0.340144
2021-09-10 03:15:25.669939 : Epoch 10, Batch    375, Loss  0.529354, Average Loss  0.534401, Time  0.262929
2021-09-10 03:15:27.208926 : Epoch  8, Batch   2372, Loss  0.853570, Average Loss  0.868301, Time  0.358989
2021-09-10 03:15:27.579897 : Epoch 10, Batch    376, Loss  0.549173, Average Loss  0.534515, Time  0.272097
2021-09-10 03:15:28.981865 : Epoch  8, Batch   2373, Loss  0.873683, Average Loss  0.868398, Time  0.358300
2021-09-10 03:15:29.445838 : Epoch 10, Batch    377, Loss  0.534200, Average Loss  0.534497, Time  0.264510
2021-09-10 03:15:30.879938 : Epoch  8, Batch   2374, Loss  0.858964, Average Loss  0.868325, Time  0.456767
2021-09-10 03:15:31.324839 : Epoch 10, Batch    378, Loss  0.536219, Average Loss  0.534587, Time  0.258737
2021-09-10 03:15:32.778116 : Epoch  8, Batch   2375, Loss  0.846422, Average Loss  0.868167, Time  0.448416
2021-09-10 03:15:33.191997 : Epoch 10, Batch    379, Loss  0.523768, Average Loss  0.534558, Time  0.258148
2021-09-10 03:15:34.552575 : Epoch  8, Batch   2376, Loss  0.857457, Average Loss  0.868159, Time  0.360319
2021-09-10 03:15:35.094801 : Epoch 10, Batch    380, Loss  0.533588, Average Loss  0.534584, Time  0.258535
2021-09-10 03:15:36.314812 : Epoch  8, Batch   2377, Loss  0.878162, Average Loss  0.868152, Time  0.358570
2021-09-10 03:15:37.010829 : Epoch 10, Batch    381, Loss  0.557720, Average Loss  0.534715, Time  0.258633
2021-09-10 03:15:38.171825 : Epoch  8, Batch   2378, Loss  0.859351, Average Loss  0.868135, Time  0.426015
2021-09-10 03:15:38.912895 : Epoch 10, Batch    382, Loss  0.527600, Average Loss  0.534677, Time  0.259052
2021-09-10 03:15:40.063784 : Epoch  8, Batch   2379, Loss  0.853221, Average Loss  0.867933, Time  0.467063
2021-09-10 03:15:40.816792 : Epoch 10, Batch    383, Loss  0.537632, Average Loss  0.534597, Time  0.261598
2021-09-10 03:15:41.853656 : Epoch  8, Batch   2380, Loss  0.856325, Average Loss  0.867909, Time  0.365870
2021-09-10 03:15:42.715787 : Epoch 10, Batch    384, Loss  0.528998, Average Loss  0.534581, Time  0.261691
2021-09-10 03:15:43.630251 : Epoch  8, Batch   2381, Loss  0.860465, Average Loss  0.867801, Time  0.358059
2021-09-10 03:15:44.610838 : Epoch 10, Batch    385, Loss  0.548974, Average Loss  0.534632, Time  0.258928
2021-09-10 03:15:45.457135 : Epoch  8, Batch   2382, Loss  0.880687, Average Loss  0.867889, Time  0.404929
2021-09-10 03:15:46.486900 : Epoch 10, Batch    386, Loss  0.523700, Average Loss  0.534589, Time  0.258677
2021-09-10 03:15:47.352020 : Epoch  8, Batch   2383, Loss  0.873287, Average Loss  0.867981, Time  0.452971
2021-09-10 03:15:48.382114 : Epoch 10, Batch    387, Loss  0.528724, Average Loss  0.534460, Time  0.259246
2021-09-10 03:15:49.130944 : Epoch  8, Batch   2384, Loss  0.839317, Average Loss  0.867785, Time  0.367446
2021-09-10 03:15:50.917932 : Epoch  8, Batch   2385, Loss  0.854428, Average Loss  0.867782, Time  0.362185
2021-09-10 03:15:52.445898 : Epoch 10, Batch    388, Loss  0.530892, Average Loss  0.534351, Time  0.275338
2021-09-10 03:15:52.724991 : Epoch  8, Batch   2386, Loss  0.859260, Average Loss  0.867739, Time  0.374230
2021-09-10 03:15:54.369945 : Epoch 10, Batch    389, Loss  0.538257, Average Loss  0.534348, Time  0.258534
2021-09-10 03:15:54.591782 : Epoch  8, Batch   2387, Loss  0.866101, Average Loss  0.867763, Time  0.426649
2021-09-10 03:15:56.242855 : Epoch 10, Batch    390, Loss  0.548644, Average Loss  0.534466, Time  0.263521
2021-09-10 03:15:56.399878 : Epoch  8, Batch   2388, Loss  0.868293, Average Loss  0.867701, Time  0.356786
2021-09-10 03:15:58.118039 : Epoch 10, Batch    391, Loss  0.553385, Average Loss  0.534624, Time  0.257830
2021-09-10 03:15:58.176918 : Epoch  8, Batch   2389, Loss  0.885018, Average Loss  0.867928, Time  0.360952
2021-09-10 03:16:00.021904 : Epoch 10, Batch    392, Loss  0.532410, Average Loss  0.534612, Time  0.258112
2021-09-10 03:16:00.121901 : Epoch  8, Batch   2390, Loss  0.868600, Average Loss  0.867966, Time  0.416178
2021-09-10 03:16:01.937889 : Epoch 10, Batch    393, Loss  0.533014, Average Loss  0.534574, Time  0.257713
2021-09-10 03:16:02.020814 : Epoch  8, Batch   2391, Loss  0.880673, Average Loss  0.868173, Time  0.452261
2021-09-10 03:16:03.847429 : Epoch 10, Batch    394, Loss  0.541705, Average Loss  0.534634, Time  0.258249
2021-09-10 03:16:03.881254 : Epoch  8, Batch   2392, Loss  0.884862, Average Loss  0.868311, Time  0.429656
2021-09-10 03:16:05.653096 : Epoch  8, Batch   2393, Loss  0.850918, Average Loss  0.868176, Time  0.360213
2021-09-10 03:16:05.715050 : Epoch 10, Batch    395, Loss  0.540500, Average Loss  0.534658, Time  0.258280
2021-09-10 03:16:07.461355 : Epoch  8, Batch   2394, Loss  0.875315, Average Loss  0.868232, Time  0.366007
2021-09-10 03:16:07.586776 : Epoch 10, Batch    396, Loss  0.528972, Average Loss  0.534685, Time  0.257917
2021-09-10 03:16:09.361379 : Epoch  8, Batch   2395, Loss  0.871617, Average Loss  0.868291, Time  0.439677
2021-09-10 03:16:09.455082 : Epoch 10, Batch    397, Loss  0.532335, Average Loss  0.534761, Time  0.266988
2021-09-10 03:16:11.261367 : Epoch  8, Batch   2396, Loss  0.856012, Average Loss  0.868260, Time  0.454382
2021-09-10 03:16:11.343172 : Epoch 10, Batch    398, Loss  0.525153, Average Loss  0.534712, Time  0.260602
2021-09-10 03:16:13.121200 : Epoch  8, Batch   2397, Loss  0.876591, Average Loss  0.868281, Time  0.390842
2021-09-10 03:16:13.268831 : Epoch 10, Batch    399, Loss  0.522425, Average Loss  0.534677, Time  0.261742
2021-09-10 03:16:14.938395 : Epoch  8, Batch   2398, Loss  0.871410, Average Loss  0.868255, Time  0.367136
2021-09-10 03:16:15.160785 : Epoch 10, Batch    400, Loss  0.535114, Average Loss  0.534729, Time  0.258353
2021-09-10 03:16:16.705466 : Epoch  8, Batch   2399, Loss  0.843043, Average Loss  0.868151, Time  0.364621
2021-09-10 03:16:17.123081 : Epoch 10, Batch    401, Loss  0.530874, Average Loss  0.534670, Time  0.258287
2021-09-10 03:16:18.575122 : Epoch  8, Batch   2400, Loss  0.858504, Average Loss  0.867989, Time  0.462793
2021-09-10 03:16:18.986098 : Epoch 10, Batch    402, Loss  0.533304, Average Loss  0.534686, Time  0.259207
2021-09-10 03:16:20.459132 : Epoch  8, Batch   2401, Loss  0.853996, Average Loss  0.867962, Time  0.457728
2021-09-10 03:16:20.863078 : Epoch 10, Batch    403, Loss  0.539340, Average Loss  0.534738, Time  0.261420
2021-09-10 03:16:22.253768 : Epoch  8, Batch   2402, Loss  0.871143, Average Loss  0.867959, Time  0.355736
2021-09-10 03:16:22.744088 : Epoch 10, Batch    404, Loss  0.553172, Average Loss  0.534777, Time  0.258105
2021-09-10 03:16:24.027924 : Epoch  8, Batch   2403, Loss  0.854380, Average Loss  0.867744, Time  0.361328
2021-09-10 03:16:24.632509 : Epoch 10, Batch    405, Loss  0.524945, Average Loss  0.534728, Time  0.259567
2021-09-10 03:16:25.830769 : Epoch  8, Batch   2404, Loss  0.879046, Average Loss  0.867836, Time  0.389103
2021-09-10 03:16:26.515779 : Epoch 10, Batch    406, Loss  0.532960, Average Loss  0.534709, Time  0.258382
2021-09-10 03:16:27.729885 : Epoch  8, Batch   2405, Loss  0.836697, Average Loss  0.867631, Time  0.453182
2021-09-10 03:16:28.406844 : Epoch 10, Batch    407, Loss  0.543192, Average Loss  0.534737, Time  0.258465
2021-09-10 03:16:29.633783 : Epoch  8, Batch   2406, Loss  0.868205, Average Loss  0.867691, Time  0.428014
2021-09-10 03:16:30.310812 : Epoch 10, Batch    408, Loss  0.522572, Average Loss  0.534594, Time  0.264822
2021-09-10 03:16:31.436961 : Epoch  8, Batch   2407, Loss  0.873844, Average Loss  0.867846, Time  0.362756
2021-09-10 03:16:32.186856 : Epoch 10, Batch    409, Loss  0.535383, Average Loss  0.534611, Time  0.261201
2021-09-10 03:16:33.218816 : Epoch  8, Batch   2408, Loss  0.890111, Average Loss  0.868120, Time  0.371044
2021-09-10 03:16:34.075131 : Epoch 10, Batch    410, Loss  0.528978, Average Loss  0.534610, Time  0.275572
2021-09-10 03:16:35.097945 : Epoch  8, Batch   2409, Loss  0.852238, Average Loss  0.867972, Time  0.425607
2021-09-10 03:16:35.973086 : Epoch 10, Batch    411, Loss  0.515915, Average Loss  0.534480, Time  0.266676
2021-09-10 03:16:36.991784 : Epoch  8, Batch   2410, Loss  0.890476, Average Loss  0.868009, Time  0.461542
2021-09-10 03:16:37.869101 : Epoch 10, Batch    412, Loss  0.534446, Average Loss  0.534487, Time  0.259239
2021-09-10 03:16:38.795271 : Epoch  8, Batch   2411, Loss  0.898583, Average Loss  0.868135, Time  0.373965
2021-09-10 03:16:39.766875 : Epoch 10, Batch    413, Loss  0.542359, Average Loss  0.534474, Time  0.263831
2021-09-10 03:16:40.581255 : Epoch  8, Batch   2412, Loss  0.870766, Average Loss  0.868229, Time  0.360072
2021-09-10 03:16:41.649087 : Epoch 10, Batch    414, Loss  0.539042, Average Loss  0.534494, Time  0.263025
2021-09-10 03:16:42.366828 : Epoch  8, Batch   2413, Loss  0.851950, Average Loss  0.868083, Time  0.360459
2021-09-10 03:16:43.549901 : Epoch 10, Batch    415, Loss  0.539188, Average Loss  0.534500, Time  0.258726
2021-09-10 03:16:44.269627 : Epoch  8, Batch   2414, Loss  0.883643, Average Loss  0.868304, Time  0.452386
2021-09-10 03:16:45.429774 : Epoch 10, Batch    416, Loss  0.532233, Average Loss  0.534559, Time  0.258864
2021-09-10 03:16:46.128118 : Epoch  8, Batch   2415, Loss  0.885435, Average Loss  0.868304, Time  0.450140
2021-09-10 03:16:47.316926 : Epoch 10, Batch    417, Loss  0.526126, Average Loss  0.534529, Time  0.261033
2021-09-10 03:16:47.937986 : Epoch  8, Batch   2416, Loss  0.901233, Average Loss  0.868587, Time  0.380184
2021-09-10 03:16:49.750885 : Epoch  8, Batch   2417, Loss  0.863316, Average Loss  0.868500, Time  0.355792
2021-09-10 03:16:51.579790 : Epoch  8, Batch   2418, Loss  0.893793, Average Loss  0.868733, Time  0.398116
2021-09-10 03:16:53.500896 : Epoch  8, Batch   2419, Loss  0.886353, Average Loss  0.868824, Time  0.452640
2021-09-10 03:16:55.419785 : Epoch  8, Batch   2420, Loss  0.867700, Average Loss  0.868877, Time  0.446302
2021-09-10 03:16:57.228075 : Epoch  8, Batch   2421, Loss  0.863502, Average Loss  0.868807, Time  0.360511
2021-09-10 03:16:59.003938 : Epoch  8, Batch   2422, Loss  0.866354, Average Loss  0.868782, Time  0.363016
2021-09-10 03:17:00.849793 : Epoch  8, Batch   2423, Loss  0.856171, Average Loss  0.868746, Time  0.416272
2021-09-10 03:17:57.126265 : CheckPoint: Validation Loss  0.00021537, Best Loss  0.00021414
2021-09-10 03:17:59.006847 : Epoch 10, Batch    418, Loss  0.517061, Average Loss  0.534437, Time  0.268296
2021-09-10 03:18:00.923923 : Epoch 10, Batch    419, Loss  0.517917, Average Loss  0.534282, Time  0.258581
2021-09-10 03:18:02.836817 : Epoch 10, Batch    420, Loss  0.539682, Average Loss  0.534387, Time  0.262943
2021-09-10 03:18:04.742440 : Epoch 10, Batch    421, Loss  0.540894, Average Loss  0.534409, Time  0.258556
2021-09-10 03:18:06.636687 : Epoch 10, Batch    422, Loss  0.527684, Average Loss  0.534388, Time  0.258476
2021-09-10 03:18:06.833897 : Epoch 10, Batch    423, Loss  0.470124, Average Loss  0.533932, Time  0.119176
2021-09-10 03:18:08.717361 : Epoch 10, Batch    424, Loss  0.534546, Average Loss  0.533977, Time  0.263913
2021-09-10 03:18:10.583898 : Epoch 10, Batch    425, Loss  0.534876, Average Loss  0.533941, Time  0.263068
2021-09-10 03:18:12.459784 : Epoch 10, Batch    426, Loss  0.547377, Average Loss  0.534013, Time  0.258701
2021-09-10 03:18:14.343934 : Epoch 10, Batch    427, Loss  0.535230, Average Loss  0.533990, Time  0.261272
2021-09-10 03:18:16.264886 : Epoch 10, Batch    428, Loss  0.531916, Average Loss  0.533934, Time  0.279173
2021-09-10 03:18:18.182091 : Epoch 10, Batch    429, Loss  0.536985, Average Loss  0.533911, Time  0.267005
2021-09-10 03:18:20.062788 : Epoch 10, Batch    430, Loss  0.528144, Average Loss  0.533907, Time  0.259945
2021-09-10 03:18:21.957896 : Epoch 10, Batch    431, Loss  0.539580, Average Loss  0.533897, Time  0.258522
2021-09-10 03:18:23.854870 : Epoch 10, Batch    432, Loss  0.542556, Average Loss  0.533855, Time  0.263526
2021-09-10 03:18:25.738632 : Epoch 10, Batch    433, Loss  0.530760, Average Loss  0.533750, Time  0.258459
2021-09-10 03:18:27.598846 : Epoch 10, Batch    434, Loss  0.532358, Average Loss  0.533779, Time  0.261923
2021-09-10 03:18:29.495799 : Epoch 10, Batch    435, Loss  0.541320, Average Loss  0.533831, Time  0.259175
2021-09-10 03:18:31.383063 : Epoch 10, Batch    436, Loss  0.534111, Average Loss  0.533852, Time  0.260879
2021-09-10 03:18:33.283808 : Epoch 10, Batch    437, Loss  0.532288, Average Loss  0.533776, Time  0.261838
2021-09-10 03:18:35.173841 : Epoch 10, Batch    438, Loss  0.531540, Average Loss  0.533750, Time  0.258555
2021-09-10 03:18:37.060838 : Epoch 10, Batch    439, Loss  0.523011, Average Loss  0.533732, Time  0.258875
2021-09-10 03:18:38.984770 : Epoch 10, Batch    440, Loss  0.531659, Average Loss  0.533710, Time  0.265985
2021-09-10 03:18:40.878930 : Epoch 10, Batch    441, Loss  0.538857, Average Loss  0.533771, Time  0.264708
2021-09-10 03:18:42.748777 : Epoch 10, Batch    442, Loss  0.520809, Average Loss  0.533711, Time  0.262309
2021-09-10 03:18:44.646926 : Epoch 10, Batch    443, Loss  0.535449, Average Loss  0.533693, Time  0.258792
2021-09-10 03:18:46.535805 : Epoch 10, Batch    444, Loss  0.525706, Average Loss  0.533648, Time  0.261719
2021-09-10 03:18:48.425878 : Epoch 10, Batch    445, Loss  0.535925, Average Loss  0.533636, Time  0.264473
2021-09-10 03:18:50.303827 : Epoch 10, Batch    446, Loss  0.524053, Average Loss  0.533616, Time  0.258678
2021-09-10 03:18:52.211886 : Epoch 10, Batch    447, Loss  0.544098, Average Loss  0.533688, Time  0.266618
2021-09-10 03:18:54.116900 : Epoch 10, Batch    448, Loss  0.529967, Average Loss  0.533605, Time  0.260168
2021-09-10 03:18:56.044135 : Epoch 10, Batch    449, Loss  0.538872, Average Loss  0.533645, Time  0.269153
2021-09-10 03:18:58.012085 : Epoch 10, Batch    450, Loss  0.553808, Average Loss  0.533763, Time  0.264540
2021-09-10 03:18:59.915128 : Epoch 10, Batch    451, Loss  0.542169, Average Loss  0.533820, Time  0.262120
2021-09-10 03:19:01.818801 : Epoch 10, Batch    452, Loss  0.542640, Average Loss  0.533846, Time  0.264877
2021-09-10 03:19:03.706875 : Epoch 10, Batch    453, Loss  0.541521, Average Loss  0.533916, Time  0.267048
2021-09-10 03:19:05.619823 : Epoch 10, Batch    454, Loss  0.522372, Average Loss  0.533863, Time  0.258354
2021-09-10 03:19:07.517831 : Epoch 10, Batch    455, Loss  0.529828, Average Loss  0.533856, Time  0.264865
2021-09-10 03:19:09.389942 : Epoch 10, Batch    456, Loss  0.519478, Average Loss  0.533718, Time  0.262655
2021-09-10 03:19:11.286831 : Epoch 10, Batch    457, Loss  0.535125, Average Loss  0.533814, Time  0.266684
2021-09-10 03:19:13.209805 : Epoch 10, Batch    458, Loss  0.531857, Average Loss  0.533849, Time  0.261279
2021-09-10 03:19:15.120791 : Epoch 10, Batch    459, Loss  0.535869, Average Loss  0.533929, Time  0.259226
2021-09-10 03:19:17.009092 : Epoch 10, Batch    460, Loss  0.532551, Average Loss  0.533885, Time  0.258116
2021-09-10 03:19:18.896746 : Epoch 10, Batch    461, Loss  0.541850, Average Loss  0.533893, Time  0.258536
2021-09-10 03:19:20.774822 : Epoch 10, Batch    462, Loss  0.544283, Average Loss  0.533976, Time  0.258929
2021-09-10 03:19:22.663085 : Epoch 10, Batch    463, Loss  0.541767, Average Loss  0.533971, Time  0.261243
2021-09-10 03:19:24.539089 : Epoch 10, Batch    464, Loss  0.531748, Average Loss  0.533997, Time  0.259336
2021-09-10 03:19:26.454875 : Epoch 10, Batch    465, Loss  0.538961, Average Loss  0.534070, Time  0.273369
2021-09-10 03:19:28.357773 : Epoch 10, Batch    466, Loss  0.532997, Average Loss  0.534035, Time  0.261046
2021-09-10 03:19:30.259923 : Epoch 10, Batch    467, Loss  0.532921, Average Loss  0.534037, Time  0.266579
2021-09-10 03:19:32.171500 : Epoch 10, Batch    468, Loss  0.526527, Average Loss  0.533933, Time  0.258316
2021-09-10 03:19:34.081836 : Epoch 10, Batch    469, Loss  0.533953, Average Loss  0.533936, Time  0.274053
2021-09-10 03:19:35.980084 : Epoch 10, Batch    470, Loss  0.532237, Average Loss  0.533883, Time  0.265356
2021-09-10 03:19:37.872887 : Epoch 10, Batch    471, Loss  0.534476, Average Loss  0.533877, Time  0.258830
2021-09-10 03:19:39.754091 : Epoch 10, Batch    472, Loss  0.538259, Average Loss  0.533917, Time  0.264322
2021-09-10 03:19:41.669072 : Epoch 10, Batch    473, Loss  0.523642, Average Loss  0.533921, Time  0.259801
2021-09-10 03:19:43.573835 : Epoch 10, Batch    474, Loss  0.530392, Average Loss  0.533837, Time  0.262443
2021-09-10 03:19:45.478828 : Epoch 10, Batch    475, Loss  0.534488, Average Loss  0.533841, Time  0.266638
2021-09-10 03:19:47.353838 : Epoch 10, Batch    476, Loss  0.529116, Average Loss  0.533779, Time  0.264961
2021-09-10 03:19:49.284756 : Epoch 10, Batch    477, Loss  0.539308, Average Loss  0.533777, Time  0.270652
2021-09-10 03:19:51.163878 : Epoch 10, Batch    478, Loss  0.533930, Average Loss  0.533781, Time  0.260823
2021-09-10 03:19:53.051038 : Epoch 10, Batch    479, Loss  0.531930, Average Loss  0.533733, Time  0.265769
2021-09-10 03:19:54.955793 : Epoch 10, Batch    480, Loss  0.541854, Average Loss  0.533798, Time  0.265098
2021-09-10 03:19:56.836901 : Epoch 10, Batch    481, Loss  0.526947, Average Loss  0.533712, Time  0.262385
2021-09-10 03:19:58.750816 : Epoch 10, Batch    482, Loss  0.532891, Average Loss  0.533670, Time  0.265405
2021-09-10 03:20:00.627964 : Epoch 10, Batch    483, Loss  0.549606, Average Loss  0.533772, Time  0.259166
2021-09-10 03:20:02.536770 : Epoch 10, Batch    484, Loss  0.553618, Average Loss  0.533868, Time  0.260344
2021-09-10 03:20:04.459907 : Epoch 10, Batch    485, Loss  0.546721, Average Loss  0.533932, Time  0.264199
2021-09-10 03:20:06.354007 : Epoch 10, Batch    486, Loss  0.536675, Average Loss  0.533938, Time  0.267610
2021-09-10 03:20:08.251968 : Epoch 10, Batch    487, Loss  0.521549, Average Loss  0.533843, Time  0.261560
2021-09-10 03:20:10.127874 : Epoch 10, Batch    488, Loss  0.538908, Average Loss  0.533859, Time  0.258869
2021-09-10 03:20:14.132936 : Epoch 10, Batch    489, Loss  0.520305, Average Loss  0.533797, Time  0.267102
2021-09-10 03:20:16.060075 : Epoch 10, Batch    490, Loss  0.528485, Average Loss  0.533799, Time  0.276736
2021-09-10 03:20:17.973969 : Epoch 10, Batch    491, Loss  0.537061, Average Loss  0.533801, Time  0.271464
2021-09-10 03:20:19.890823 : Epoch 10, Batch    492, Loss  0.529487, Average Loss  0.533803, Time  0.261268
2021-09-10 03:20:21.766087 : Epoch 10, Batch    493, Loss  0.526493, Average Loss  0.533709, Time  0.258380
2021-09-10 03:20:23.686794 : Epoch 10, Batch    494, Loss  0.550746, Average Loss  0.533818, Time  0.270693
2021-09-10 03:20:25.641798 : Epoch 10, Batch    495, Loss  0.529432, Average Loss  0.533712, Time  0.268467
2021-09-10 03:20:27.537722 : Epoch 10, Batch    496, Loss  0.541104, Average Loss  0.533687, Time  0.265147
2021-09-10 03:20:29.422087 : Epoch 10, Batch    497, Loss  0.523969, Average Loss  0.533576, Time  0.259571
2021-09-10 03:20:31.334833 : Epoch 10, Batch    498, Loss  0.542539, Average Loss  0.533665, Time  0.258924
2021-09-10 03:20:33.266922 : Epoch 10, Batch    499, Loss  0.525889, Average Loss  0.533630, Time  0.266770
2021-09-10 03:20:35.171656 : Epoch 10, Batch    500, Loss  0.544722, Average Loss  0.533680, Time  0.262073
2021-09-10 03:20:37.075849 : Epoch 10, Batch    501, Loss  0.536506, Average Loss  0.533702, Time  0.258492
2021-09-10 03:20:38.973773 : Epoch 10, Batch    502, Loss  0.537135, Average Loss  0.533732, Time  0.274196
2021-09-10 03:20:40.901781 : Epoch 10, Batch    503, Loss  0.520622, Average Loss  0.533653, Time  0.270819
2021-09-10 03:20:42.803846 : Epoch 10, Batch    504, Loss  0.538869, Average Loss  0.533656, Time  0.270795
2021-09-10 03:20:44.686878 : Epoch 10, Batch    505, Loss  0.538812, Average Loss  0.533665, Time  0.258340
2021-09-10 03:20:46.588827 : Epoch 10, Batch    506, Loss  0.516794, Average Loss  0.533616, Time  0.264994
2021-09-10 03:20:48.546779 : Epoch 10, Batch    507, Loss  0.524201, Average Loss  0.533576, Time  0.276391
2021-09-10 03:20:50.461802 : Epoch 10, Batch    508, Loss  0.532498, Average Loss  0.533613, Time  0.259774
2021-09-10 03:20:52.368082 : Epoch 10, Batch    509, Loss  0.527799, Average Loss  0.533543, Time  0.266315
2021-09-10 03:20:54.269654 : Epoch 10, Batch    510, Loss  0.533222, Average Loss  0.533575, Time  0.264518
2021-09-10 03:20:56.165887 : Epoch 10, Batch    511, Loss  0.533555, Average Loss  0.533528, Time  0.258953
2021-09-10 03:20:58.079669 : Epoch 10, Batch    512, Loss  0.528007, Average Loss  0.533546, Time  0.267021
2021-09-10 03:21:00.015100 : Epoch 10, Batch    513, Loss  0.530453, Average Loss  0.533547, Time  0.258096
2021-09-10 03:21:01.934167 : Epoch 10, Batch    514, Loss  0.529843, Average Loss  0.533504, Time  0.258648
2021-09-10 03:21:03.833813 : Epoch 10, Batch    515, Loss  0.535466, Average Loss  0.533522, Time  0.267083
2021-09-10 03:21:05.746846 : Epoch 10, Batch    516, Loss  0.534891, Average Loss  0.533538, Time  0.259060
2021-09-10 03:21:07.664837 : Epoch 10, Batch    517, Loss  0.542968, Average Loss  0.533575, Time  0.259250
2021-09-10 03:21:52.001712 : CheckPoint: Validation Loss  0.00063673, Best Loss  0.00056427
2021-09-10 03:21:53.847089 : Epoch  8, Batch   2424, Loss  0.859278, Average Loss  0.868922, Time  0.394141
2021-09-10 03:21:55.743783 : Epoch  8, Batch   2425, Loss  0.892312, Average Loss  0.869212, Time  0.451291
2021-09-10 03:21:57.639783 : Epoch  8, Batch   2426, Loss  0.847743, Average Loss  0.869132, Time  0.417122
2021-09-10 03:21:59.439246 : Epoch  8, Batch   2427, Loss  0.843124, Average Loss  0.868977, Time  0.358493
2021-09-10 03:22:01.247772 : Epoch  8, Batch   2428, Loss  0.880558, Average Loss  0.869008, Time  0.368155
2021-09-10 03:22:03.106770 : Epoch  8, Batch   2429, Loss  0.848874, Average Loss  0.868818, Time  0.407201
2021-09-10 03:22:05.007790 : Epoch  8, Batch   2430, Loss  0.867692, Average Loss  0.868789, Time  0.469558
2021-09-10 03:22:06.799769 : Epoch  8, Batch   2431, Loss  0.854282, Average Loss  0.868589, Time  0.349025
2021-09-10 03:22:08.566821 : Epoch  8, Batch   2432, Loss  0.856086, Average Loss  0.868449, Time  0.357246
2021-09-10 03:22:10.344879 : Epoch  8, Batch   2433, Loss  0.868481, Average Loss  0.868361, Time  0.362419
2021-09-10 03:22:12.240260 : Epoch  8, Batch   2434, Loss  0.878699, Average Loss  0.868361, Time  0.460048
2021-09-10 03:22:14.120781 : Epoch  8, Batch   2435, Loss  0.854015, Average Loss  0.868407, Time  0.433783
2021-09-10 03:22:15.949420 : Epoch  8, Batch   2436, Loss  0.868589, Average Loss  0.868359, Time  0.360693
2021-09-10 03:22:17.453744 : CheckPoint: Validation Loss  0.00022347, Best Loss  0.00021414
2021-09-10 03:22:17.738774 : Epoch  8, Batch   2437, Loss  0.908012, Average Loss  0.868751, Time  0.370009
2021-09-10 03:22:19.347074 : Epoch 10, Batch    518, Loss  0.543095, Average Loss  0.533605, Time  0.267282
2021-09-10 03:22:19.571777 : Epoch  8, Batch   2438, Loss  0.839520, Average Loss  0.868446, Time  0.412161
2021-09-10 03:22:21.403811 : Epoch 10, Batch    519, Loss  0.531871, Average Loss  0.533620, Time  0.261104
2021-09-10 03:22:21.486503 : Epoch  8, Batch   2439, Loss  0.885771, Average Loss  0.868605, Time  0.455059
2021-09-10 03:22:23.296764 : Epoch  8, Batch   2440, Loss  0.863230, Average Loss  0.868329, Time  0.385961
2021-09-10 03:22:23.331193 : Epoch 10, Batch    520, Loss  0.532141, Average Loss  0.533647, Time  0.259789
2021-09-10 03:22:25.073250 : Epoch  8, Batch   2441, Loss  0.854360, Average Loss  0.868240, Time  0.362062
2021-09-10 03:22:25.218100 : Epoch 10, Batch    521, Loss  0.528719, Average Loss  0.533660, Time  0.268805
2021-09-10 03:22:26.920770 : Epoch  8, Batch   2442, Loss  0.840726, Average Loss  0.868006, Time  0.357376
2021-09-10 03:22:27.082760 : Epoch 10, Batch    522, Loss  0.534712, Average Loss  0.533674, Time  0.261682
2021-09-10 03:22:28.785789 : Epoch  8, Batch   2443, Loss  0.848411, Average Loss  0.867934, Time  0.451350
2021-09-10 03:22:28.970959 : Epoch 10, Batch    523, Loss  0.528332, Average Loss  0.533720, Time  0.266953
2021-09-10 03:22:30.665838 : Epoch  8, Batch   2444, Loss  0.872983, Average Loss  0.868040, Time  0.454756
2021-09-10 03:22:30.864869 : Epoch 10, Batch    524, Loss  0.519274, Average Loss  0.533641, Time  0.262142
2021-09-10 03:22:32.469784 : Epoch  8, Batch   2445, Loss  0.865297, Average Loss  0.867934, Time  0.356259
2021-09-10 03:22:32.747986 : Epoch 10, Batch    525, Loss  0.531527, Average Loss  0.533710, Time  0.267177
2021-09-10 03:22:34.290896 : Epoch  8, Batch   2446, Loss  0.875436, Average Loss  0.867977, Time  0.361632
2021-09-10 03:22:34.630098 : Epoch 10, Batch    526, Loss  0.540679, Average Loss  0.533741, Time  0.262330
2021-09-10 03:22:36.116781 : Epoch  8, Batch   2447, Loss  0.871895, Average Loss  0.867831, Time  0.377393
2021-09-10 03:22:36.554998 : Epoch 10, Batch    527, Loss  0.544019, Average Loss  0.533839, Time  0.266922
2021-09-10 03:22:38.018208 : Epoch  8, Batch   2448, Loss  0.872957, Average Loss  0.867759, Time  0.472525
2021-09-10 03:22:38.459706 : Epoch 10, Batch    528, Loss  0.537012, Average Loss  0.533956, Time  0.258703
2021-09-10 03:22:39.777354 : Epoch  8, Batch   2449, Loss  0.860648, Average Loss  0.867698, Time  0.335684
2021-09-10 03:22:40.338903 : Epoch 10, Batch    529, Loss  0.533394, Average Loss  0.533915, Time  0.261902
2021-09-10 03:22:41.549780 : Epoch  8, Batch   2450, Loss  0.880583, Average Loss  0.867608, Time  0.357383
2021-09-10 03:22:42.234802 : Epoch 10, Batch    530, Loss  0.523377, Average Loss  0.533908, Time  0.259603
2021-09-10 03:22:43.350776 : Epoch  8, Batch   2451, Loss  0.900459, Average Loss  0.867843, Time  0.365978
2021-09-10 03:22:44.141128 : Epoch 10, Batch    531, Loss  0.542611, Average Loss  0.533910, Time  0.259798
2021-09-10 03:22:45.252825 : Epoch  8, Batch   2452, Loss  0.884907, Average Loss  0.867877, Time  0.451288
2021-09-10 03:22:46.024878 : Epoch 10, Batch    532, Loss  0.540768, Average Loss  0.533959, Time  0.259885
2021-09-10 03:22:47.119779 : Epoch  8, Batch   2453, Loss  0.856785, Average Loss  0.867808, Time  0.416181
2021-09-10 03:22:47.905090 : Epoch 10, Batch    533, Loss  0.525225, Average Loss  0.533904, Time  0.259382
2021-09-10 03:22:48.902790 : Epoch  8, Batch   2454, Loss  0.880926, Average Loss  0.867840, Time  0.359084
2021-09-10 03:22:49.826836 : Epoch 10, Batch    534, Loss  0.544028, Average Loss  0.533919, Time  0.263566
2021-09-10 03:22:50.715787 : Epoch  8, Batch   2455, Loss  0.892376, Average Loss  0.867829, Time  0.364051
2021-09-10 03:22:51.717807 : Epoch 10, Batch    535, Loss  0.540529, Average Loss  0.533968, Time  0.261921
2021-09-10 03:22:52.614780 : Epoch  8, Batch   2456, Loss  0.882717, Average Loss  0.867983, Time  0.434036
2021-09-10 03:22:53.621792 : Epoch 10, Batch    536, Loss  0.523410, Average Loss  0.533908, Time  0.261704
2021-09-10 03:22:54.512155 : Epoch  8, Batch   2457, Loss  0.835442, Average Loss  0.867719, Time  0.465623
2021-09-10 03:22:55.502856 : Epoch 10, Batch    537, Loss  0.526974, Average Loss  0.533896, Time  0.259321
2021-09-10 03:22:56.362823 : Epoch  8, Batch   2458, Loss  0.859086, Average Loss  0.867662, Time  0.411589
2021-09-10 03:22:57.406907 : Epoch 10, Batch    538, Loss  0.540540, Average Loss  0.533867, Time  0.258680
2021-09-10 03:22:58.133774 : Epoch  8, Batch   2459, Loss  0.863123, Average Loss  0.867678, Time  0.363953
2021-09-10 03:22:59.297544 : Epoch 10, Batch    539, Loss  0.536006, Average Loss  0.533844, Time  0.258857
2021-09-10 03:22:59.911782 : Epoch  8, Batch   2460, Loss  0.866513, Average Loss  0.867717, Time  0.367226
2021-09-10 03:23:01.197230 : Epoch 10, Batch    540, Loss  0.536154, Average Loss  0.533847, Time  0.271614
2021-09-10 03:23:01.824814 : Epoch  8, Batch   2461, Loss  0.875372, Average Loss  0.867818, Time  0.463464
2021-09-10 03:23:03.089298 : Epoch 10, Batch    541, Loss  0.528067, Average Loss  0.533816, Time  0.258280
2021-09-10 03:23:03.735775 : Epoch  8, Batch   2462, Loss  0.878421, Average Loss  0.868027, Time  0.464441
2021-09-10 03:23:04.959908 : Epoch 10, Batch    542, Loss  0.539845, Average Loss  0.533878, Time  0.262952
2021-09-10 03:23:05.517787 : Epoch  8, Batch   2463, Loss  0.871483, Average Loss  0.868207, Time  0.356522
2021-09-10 03:23:06.838079 : Epoch 10, Batch    543, Loss  0.513985, Average Loss  0.533779, Time  0.263418
2021-09-10 03:23:07.344814 : Epoch  8, Batch   2464, Loss  0.867131, Average Loss  0.868202, Time  0.355977
2021-09-10 03:23:08.747093 : Epoch 10, Batch    544, Loss  0.541493, Average Loss  0.533834, Time  0.264543
2021-09-10 03:23:09.171112 : Epoch  8, Batch   2465, Loss  0.896553, Average Loss  0.868420, Time  0.389121
2021-09-10 03:23:10.652812 : Epoch 10, Batch    545, Loss  0.526807, Average Loss  0.533827, Time  0.258699
2021-09-10 03:23:11.070772 : Epoch  8, Batch   2466, Loss  0.875615, Average Loss  0.868444, Time  0.453572
2021-09-10 03:23:12.558858 : Epoch 10, Batch    546, Loss  0.527750, Average Loss  0.533749, Time  0.262883
2021-09-10 03:23:12.885776 : Epoch  8, Batch   2467, Loss  0.862549, Average Loss  0.868381, Time  0.373292
2021-09-10 03:23:14.473138 : Epoch 10, Batch    547, Loss  0.533464, Average Loss  0.533754, Time  0.264301
2021-09-10 03:23:14.688759 : Epoch  8, Batch   2468, Loss  0.844825, Average Loss  0.868313, Time  0.357933
2021-09-10 03:23:16.372099 : Epoch 10, Batch    548, Loss  0.536396, Average Loss  0.533689, Time  0.258434
2021-09-10 03:23:16.496778 : Epoch  8, Batch   2469, Loss  0.836076, Average Loss  0.868289, Time  0.358038
2021-09-10 03:23:18.281836 : Epoch 10, Batch    549, Loss  0.525998, Average Loss  0.533678, Time  0.262625
2021-09-10 03:23:18.373783 : Epoch  8, Batch   2470, Loss  0.876804, Average Loss  0.868355, Time  0.446422
2021-09-10 03:23:20.193816 : Epoch 10, Batch    550, Loss  0.541032, Average Loss  0.533672, Time  0.258380
2021-09-10 03:23:20.261885 : Epoch  8, Batch   2471, Loss  0.834304, Average Loss  0.868196, Time  0.450333
2021-09-10 03:23:22.075787 : Epoch  8, Batch   2472, Loss  0.878116, Average Loss  0.868160, Time  0.355912
2021-09-10 03:23:22.119756 : Epoch 10, Batch    551, Loss  0.536935, Average Loss  0.533651, Time  0.262315
2021-09-10 03:23:23.869786 : Epoch  8, Batch   2473, Loss  0.870586, Average Loss  0.868135, Time  0.357418
2021-09-10 03:23:24.024789 : Epoch 10, Batch    552, Loss  0.536006, Average Loss  0.533626, Time  0.266195
2021-09-10 03:23:25.665800 : Epoch  8, Batch   2474, Loss  0.879499, Average Loss  0.868340, Time  0.369482
2021-09-10 03:23:25.909884 : Epoch 10, Batch    553, Loss  0.530234, Average Loss  0.533566, Time  0.259569
2021-09-10 03:23:27.551786 : Epoch  8, Batch   2475, Loss  0.876739, Average Loss  0.868443, Time  0.453221
2021-09-10 03:23:27.802751 : Epoch 10, Batch    554, Loss  0.534112, Average Loss  0.533648, Time  0.259672
2021-09-10 03:23:29.338784 : Epoch  8, Batch   2476, Loss  0.853994, Average Loss  0.868263, Time  0.348391
2021-09-10 03:23:29.710798 : Epoch 10, Batch    555, Loss  0.530617, Average Loss  0.533703, Time  0.258020
2021-09-10 03:23:31.136786 : Epoch  8, Batch   2477, Loss  0.901442, Average Loss  0.868442, Time  0.355559
2021-09-10 03:23:31.613804 : Epoch 10, Batch    556, Loss  0.536574, Average Loss  0.533702, Time  0.258421
2021-09-10 03:23:32.952787 : Epoch  8, Batch   2478, Loss  0.868742, Average Loss  0.868377, Time  0.358120
2021-09-10 03:23:33.488836 : Epoch 10, Batch    557, Loss  0.528925, Average Loss  0.533693, Time  0.258239
2021-09-10 03:23:34.852071 : Epoch  8, Batch   2479, Loss  0.848108, Average Loss  0.868325, Time  0.454900
2021-09-10 03:23:35.399964 : Epoch 10, Batch    558, Loss  0.542219, Average Loss  0.533726, Time  0.272509
2021-09-10 03:23:36.744769 : Epoch  8, Batch   2480, Loss  0.878196, Average Loss  0.868378, Time  0.447064
2021-09-10 03:23:37.324868 : Epoch 10, Batch    559, Loss  0.538170, Average Loss  0.533725, Time  0.275196
2021-09-10 03:23:38.539787 : Epoch  8, Batch   2481, Loss  0.870296, Average Loss  0.868415, Time  0.357005
2021-09-10 03:23:39.243999 : Epoch 10, Batch    560, Loss  0.537076, Average Loss  0.533798, Time  0.268338
2021-09-10 03:23:40.347769 : Epoch  8, Batch   2482, Loss  0.850174, Average Loss  0.868377, Time  0.355146
2021-09-10 03:23:41.138869 : Epoch 10, Batch    561, Loss  0.541051, Average Loss  0.533826, Time  0.262922
2021-09-10 03:23:42.175769 : Epoch  8, Batch   2483, Loss  0.862876, Average Loss  0.868368, Time  0.385787
2021-09-10 03:23:43.006774 : Epoch 10, Batch    562, Loss  0.522182, Average Loss  0.533759, Time  0.258417
2021-09-10 03:23:44.079788 : Epoch  8, Batch   2484, Loss  0.857706, Average Loss  0.868301, Time  0.450370
2021-09-10 03:23:44.892927 : Epoch 10, Batch    563, Loss  0.530832, Average Loss  0.533737, Time  0.264439
2021-09-10 03:23:45.964779 : Epoch  8, Batch   2485, Loss  0.873834, Average Loss  0.868240, Time  0.418501
2021-09-10 03:23:46.791883 : Epoch 10, Batch    564, Loss  0.542383, Average Loss  0.533796, Time  0.268536
2021-09-10 03:23:47.763786 : Epoch  8, Batch   2486, Loss  0.891582, Average Loss  0.868439, Time  0.358017
2021-09-10 03:23:48.685782 : Epoch 10, Batch    565, Loss  0.529738, Average Loss  0.533769, Time  0.260803
2021-09-10 03:23:49.597229 : Epoch  8, Batch   2487, Loss  0.866175, Average Loss  0.868277, Time  0.357059
2021-09-10 03:23:50.577854 : Epoch 10, Batch    566, Loss  0.526608, Average Loss  0.533742, Time  0.260206
2021-09-10 03:23:51.446227 : Epoch  8, Batch   2488, Loss  0.861179, Average Loss  0.868080, Time  0.404982
2021-09-10 03:23:52.460821 : Epoch 10, Batch    567, Loss  0.535717, Average Loss  0.533802, Time  0.259041
2021-09-10 03:23:53.333767 : Epoch  8, Batch   2489, Loss  0.907935, Average Loss  0.868116, Time  0.451058
2021-09-10 03:23:54.361803 : Epoch 10, Batch    568, Loss  0.535673, Average Loss  0.533808, Time  0.258349
2021-09-10 03:23:55.123824 : Epoch  8, Batch   2490, Loss  0.877584, Average Loss  0.868064, Time  0.363257
2021-09-10 03:23:56.272867 : Epoch 10, Batch    569, Loss  0.539580, Average Loss  0.533773, Time  0.266197
2021-09-10 03:23:56.919128 : Epoch  8, Batch   2491, Loss  0.878739, Average Loss  0.868127, Time  0.364391
2021-09-10 03:23:58.176789 : Epoch 10, Batch    570, Loss  0.533467, Average Loss  0.533714, Time  0.258853
2021-09-10 03:23:58.729798 : Epoch  8, Batch   2492, Loss  0.854423, Average Loss  0.867977, Time  0.382648
2021-09-10 03:24:00.088565 : Epoch 10, Batch    571, Loss  0.527284, Average Loss  0.533714, Time  0.260713
2021-09-10 03:24:00.606186 : Epoch  8, Batch   2493, Loss  0.867033, Average Loss  0.868063, Time  0.461993
2021-09-10 03:24:02.025803 : Epoch 10, Batch    572, Loss  0.543023, Average Loss  0.533774, Time  0.258452
2021-09-10 03:24:02.368776 : Epoch  8, Batch   2494, Loss  0.886523, Average Loss  0.868232, Time  0.358388
2021-09-10 03:24:03.935115 : Epoch 10, Batch    573, Loss  0.525165, Average Loss  0.533716, Time  0.262338
2021-09-10 03:24:04.139929 : Epoch  8, Batch   2495, Loss  0.841017, Average Loss  0.868359, Time  0.369253
2021-09-10 03:24:05.832795 : Epoch 10, Batch    574, Loss  0.534417, Average Loss  0.533699, Time  0.260042
2021-09-10 03:24:05.980758 : Epoch  8, Batch   2496, Loss  0.867494, Average Loss  0.868208, Time  0.379318
2021-09-10 03:24:07.717768 : Epoch 10, Batch    575, Loss  0.524888, Average Loss  0.533676, Time  0.259155
2021-09-10 03:24:07.879768 : Epoch  8, Batch   2497, Loss  0.882942, Average Loss  0.868250, Time  0.460424
2021-09-10 03:24:09.623825 : Epoch 10, Batch    576, Loss  0.526583, Average Loss  0.533563, Time  0.262367
2021-09-10 03:24:09.668031 : Epoch  8, Batch   2498, Loss  0.917948, Average Loss  0.868639, Time  0.385566
2021-09-10 03:24:11.446896 : Epoch  8, Batch   2499, Loss  0.875834, Average Loss  0.868568, Time  0.364922
2021-09-10 03:24:11.549109 : Epoch 10, Batch    577, Loss  0.526594, Average Loss  0.533525, Time  0.271546
2021-09-10 03:24:13.259828 : Epoch  8, Batch   2500, Loss  0.858509, Average Loss  0.868751, Time  0.384679
2021-09-10 03:24:13.449579 : Epoch 10, Batch    578, Loss  0.539461, Average Loss  0.533541, Time  0.264176
2021-09-10 03:24:15.142789 : Epoch  8, Batch   2501, Loss  0.844291, Average Loss  0.868723, Time  0.450388
2021-09-10 03:24:15.315071 : Epoch 10, Batch    579, Loss  0.528564, Average Loss  0.533565, Time  0.258938
2021-09-10 03:24:17.038786 : Epoch  8, Batch   2502, Loss  0.894248, Average Loss  0.868988, Time  0.462174
2021-09-10 03:24:17.185209 : Epoch 10, Batch    580, Loss  0.536003, Average Loss  0.533577, Time  0.259483
2021-09-10 03:24:18.859791 : Epoch  8, Batch   2503, Loss  0.848028, Average Loss  0.868758, Time  0.373703
2021-09-10 03:24:19.123079 : Epoch 10, Batch    581, Loss  0.535656, Average Loss  0.533467, Time  0.263815
2021-09-10 03:24:20.711350 : Epoch  8, Batch   2504, Loss  0.890704, Average Loss  0.869065, Time  0.360653
2021-09-10 03:24:21.012806 : Epoch 10, Batch    582, Loss  0.532583, Average Loss  0.533492, Time  0.262184
2021-09-10 03:24:22.504126 : Epoch  8, Batch   2505, Loss  0.872467, Average Loss  0.868943, Time  0.357108
2021-09-10 03:24:22.870795 : Epoch 10, Batch    583, Loss  0.519061, Average Loss  0.533399, Time  0.258925
2021-09-10 03:24:24.393235 : Epoch  8, Batch   2506, Loss  0.870376, Average Loss  0.869046, Time  0.461396
2021-09-10 03:24:24.750878 : Epoch 10, Batch    584, Loss  0.535628, Average Loss  0.533432, Time  0.265522
2021-09-10 03:24:26.150839 : Epoch  8, Batch   2507, Loss  0.868800, Average Loss  0.869213, Time  0.336966
2021-09-10 03:24:26.640893 : Epoch 10, Batch    585, Loss  0.528799, Average Loss  0.533331, Time  0.260580
2021-09-10 03:24:27.949831 : Epoch  8, Batch   2508, Loss  0.865752, Average Loss  0.869191, Time  0.360309
2021-09-10 03:24:28.561818 : Epoch 10, Batch    586, Loss  0.528576, Average Loss  0.533356, Time  0.258391
2021-09-10 03:24:29.732691 : Epoch  8, Batch   2509, Loss  0.907996, Average Loss  0.869494, Time  0.359254
2021-09-10 03:24:30.462911 : Epoch 10, Batch    587, Loss  0.542340, Average Loss  0.533424, Time  0.261134
2021-09-10 03:24:31.624977 : Epoch  8, Batch   2510, Loss  0.885139, Average Loss  0.869572, Time  0.473457
2021-09-10 03:24:33.409864 : Epoch  8, Batch   2511, Loss  0.902270, Average Loss  0.869746, Time  0.348290
2021-09-10 03:24:34.496591 : Epoch 10, Batch    588, Loss  0.531682, Average Loss  0.533428, Time  0.269433
2021-09-10 03:24:35.200778 : Epoch  8, Batch   2512, Loss  0.868054, Average Loss  0.869567, Time  0.365254
2021-09-10 03:24:36.393089 : Epoch 10, Batch    589, Loss  0.535178, Average Loss  0.533412, Time  0.258680
2021-09-10 03:24:37.006064 : Epoch  8, Batch   2513, Loss  0.855917, Average Loss  0.869535, Time  0.355711
2021-09-10 03:24:38.259103 : Epoch 10, Batch    590, Loss  0.517443, Average Loss  0.533256, Time  0.260709
2021-09-10 03:24:38.935785 : Epoch  8, Batch   2514, Loss  0.847907, Average Loss  0.869432, Time  0.472803
2021-09-10 03:24:40.139112 : Epoch 10, Batch    591, Loss  0.529964, Average Loss  0.533139, Time  0.259016
2021-09-10 03:24:40.844673 : Epoch  8, Batch   2515, Loss  0.859303, Average Loss  0.869226, Time  0.475907
2021-09-10 03:24:42.047890 : Epoch 10, Batch    592, Loss  0.527428, Average Loss  0.533114, Time  0.265830
2021-09-10 03:24:42.636806 : Epoch  8, Batch   2516, Loss  0.843288, Average Loss  0.869123, Time  0.365732
2021-09-10 03:24:43.939870 : Epoch 10, Batch    593, Loss  0.538282, Average Loss  0.533141, Time  0.270896
2021-09-10 03:24:44.408784 : Epoch  8, Batch   2517, Loss  0.878293, Average Loss  0.869189, Time  0.357826
2021-09-10 03:24:45.801815 : Epoch 10, Batch    594, Loss  0.545976, Average Loss  0.533162, Time  0.258191
2021-09-10 03:24:46.254092 : Epoch  8, Batch   2518, Loss  0.845781, Average Loss  0.869147, Time  0.389734
2021-09-10 03:24:47.760789 : Epoch 10, Batch    595, Loss  0.539409, Average Loss  0.533157, Time  0.258544
2021-09-10 03:24:48.141184 : Epoch  8, Batch   2519, Loss  0.851331, Average Loss  0.869031, Time  0.453690
2021-09-10 03:24:49.681953 : Epoch 10, Batch    596, Loss  0.543556, Average Loss  0.533230, Time  0.272151
2021-09-10 03:24:49.913776 : Epoch  8, Batch   2520, Loss  0.890127, Average Loss  0.869136, Time  0.337512
2021-09-10 03:24:51.567796 : Epoch 10, Batch    597, Loss  0.528610, Average Loss  0.533211, Time  0.260329
2021-09-10 03:24:51.694771 : Epoch  8, Batch   2521, Loss  0.882414, Average Loss  0.869152, Time  0.357721
2021-09-10 03:24:53.459897 : Epoch 10, Batch    598, Loss  0.532062, Average Loss  0.533246, Time  0.266445
2021-09-10 03:24:53.493063 : Epoch  8, Batch   2522, Loss  0.875514, Average Loss  0.869137, Time  0.359577
2021-09-10 03:24:55.351003 : Epoch  8, Batch   2523, Loss  0.830758, Average Loss  0.868964, Time  0.454232
2021-09-10 03:24:55.381152 : Epoch 10, Batch    599, Loss  0.521380, Average Loss  0.533240, Time  0.265506
2021-09-10 03:24:57.319976 : Epoch 10, Batch    600, Loss  0.523583, Average Loss  0.533183, Time  0.268295
2021-09-10 03:24:59.222893 : Epoch 10, Batch    601, Loss  0.545981, Average Loss  0.533258, Time  0.266819
2021-09-10 03:25:01.123768 : Epoch 10, Batch    602, Loss  0.535761, Average Loss  0.533271, Time  0.266337
2021-09-10 03:25:03.041122 : Epoch 10, Batch    603, Loss  0.542586, Average Loss  0.533287, Time  0.261569
2021-09-10 03:25:04.918850 : Epoch 10, Batch    604, Loss  0.540544, Average Loss  0.533224, Time  0.265908
2021-09-10 03:25:06.798832 : Epoch 10, Batch    605, Loss  0.543051, Average Loss  0.533314, Time  0.259094
2021-09-10 03:25:08.669790 : Epoch 10, Batch    606, Loss  0.532059, Average Loss  0.533310, Time  0.258829
2021-09-10 03:25:10.590046 : Epoch 10, Batch    607, Loss  0.528628, Average Loss  0.533237, Time  0.266945
2021-09-10 03:25:12.494163 : Epoch 10, Batch    608, Loss  0.535266, Average Loss  0.533300, Time  0.259381
2021-09-10 03:25:14.384182 : Epoch 10, Batch    609, Loss  0.535336, Average Loss  0.533300, Time  0.262377
2021-09-10 03:25:16.254855 : Epoch 10, Batch    610, Loss  0.525126, Average Loss  0.533281, Time  0.260984
2021-09-10 03:25:18.139086 : Epoch 10, Batch    611, Loss  0.518054, Average Loss  0.533291, Time  0.262895
2021-09-10 03:25:20.035907 : Epoch 10, Batch    612, Loss  0.527159, Average Loss  0.533255, Time  0.258075
2021-09-10 03:25:21.945871 : Epoch 10, Batch    613, Loss  0.526244, Average Loss  0.533174, Time  0.265500
2021-09-10 03:25:23.848111 : Epoch 10, Batch    614, Loss  0.523084, Average Loss  0.533095, Time  0.260599
2021-09-10 03:25:25.765099 : Epoch 10, Batch    615, Loss  0.533385, Average Loss  0.533066, Time  0.273130
2021-09-10 03:25:27.639211 : Epoch 10, Batch    616, Loss  0.529213, Average Loss  0.533051, Time  0.258122
2021-09-10 03:25:29.529090 : Epoch 10, Batch    617, Loss  0.544788, Average Loss  0.533144, Time  0.276829
2021-09-10 03:26:39.383755 : CheckPoint: Validation Loss  0.00021907, Best Loss  0.00021414
2021-09-10 03:26:41.273779 : Epoch 10, Batch    618, Loss  0.534931, Average Loss  0.533233, Time  0.267761
2021-09-10 03:26:43.151051 : Epoch 10, Batch    619, Loss  0.537463, Average Loss  0.533331, Time  0.259240
2021-09-10 03:26:45.029817 : Epoch 10, Batch    620, Loss  0.544515, Average Loss  0.533355, Time  0.264870
2021-09-10 03:26:46.913898 : Epoch 10, Batch    621, Loss  0.531652, Average Loss  0.533309, Time  0.258531
2021-09-10 03:26:48.832768 : Epoch 10, Batch    622, Loss  0.532248, Average Loss  0.533332, Time  0.258459
2021-09-10 03:26:50.747893 : Epoch 10, Batch    623, Loss  0.528868, Average Loss  0.533625, Time  0.275494
2021-09-10 03:26:52.703810 : Epoch 10, Batch    624, Loss  0.541918, Average Loss  0.533662, Time  0.258209
2021-09-10 03:26:54.605865 : Epoch 10, Batch    625, Loss  0.547654, Average Loss  0.533726, Time  0.264779
2021-09-10 03:26:56.481875 : Epoch 10, Batch    626, Loss  0.546824, Average Loss  0.533723, Time  0.259446
2021-09-10 03:26:58.384905 : Epoch 10, Batch    627, Loss  0.523601, Average Loss  0.533665, Time  0.261984
2021-09-10 03:27:00.262798 : Epoch 10, Batch    628, Loss  0.540447, Average Loss  0.533708, Time  0.258367
2021-09-10 03:27:02.166101 : Epoch 10, Batch    629, Loss  0.543824, Average Loss  0.533742, Time  0.273690
2021-09-10 03:27:04.035876 : Epoch 10, Batch    630, Loss  0.533127, Average Loss  0.533767, Time  0.259520
2021-09-10 03:27:05.938791 : Epoch 10, Batch    631, Loss  0.524183, Average Loss  0.533690, Time  0.261010
2021-09-10 03:27:07.852880 : Epoch 10, Batch    632, Loss  0.548045, Average Loss  0.533718, Time  0.263194
2021-09-10 03:27:09.750134 : Epoch 10, Batch    633, Loss  0.526289, Average Loss  0.533695, Time  0.264815
2021-09-10 03:27:11.637816 : Epoch 10, Batch    634, Loss  0.532170, Average Loss  0.533694, Time  0.264118
2021-09-10 03:27:13.533878 : Epoch 10, Batch    635, Loss  0.522575, Average Loss  0.533600, Time  0.265647
2021-09-10 03:27:15.424783 : Epoch 10, Batch    636, Loss  0.536722, Average Loss  0.533614, Time  0.258719
2021-09-10 03:27:17.327138 : Epoch 10, Batch    637, Loss  0.525798, Average Loss  0.533581, Time  0.258920
2021-09-10 03:27:19.201814 : Epoch 10, Batch    638, Loss  0.529943, Average Loss  0.533573, Time  0.259198
2021-09-10 03:27:21.100093 : Epoch 10, Batch    639, Loss  0.529250, Average Loss  0.533604, Time  0.265172
2021-09-10 03:27:22.962857 : Epoch 10, Batch    640, Loss  0.537708, Average Loss  0.533635, Time  0.258376
2021-09-10 03:27:24.866838 : Epoch 10, Batch    641, Loss  0.541401, Average Loss  0.533647, Time  0.262118
2021-09-10 03:27:26.763801 : Epoch 10, Batch    642, Loss  0.533129, Average Loss  0.533709, Time  0.262118
2021-09-10 03:27:28.666868 : Epoch 10, Batch    643, Loss  0.538002, Average Loss  0.533722, Time  0.261582
2021-09-10 03:27:30.579829 : Epoch 10, Batch    644, Loss  0.546512, Average Loss  0.533826, Time  0.261658
2021-09-10 03:27:32.483075 : Epoch 10, Batch    645, Loss  0.532891, Average Loss  0.533810, Time  0.263756
2021-09-10 03:27:34.390896 : Epoch 10, Batch    646, Loss  0.536372, Average Loss  0.533872, Time  0.263864
2021-09-10 03:27:36.304936 : Epoch 10, Batch    647, Loss  0.532551, Average Loss  0.533814, Time  0.267531
2021-09-10 03:27:38.173216 : Epoch 10, Batch    648, Loss  0.538990, Average Loss  0.533859, Time  0.258534
2021-09-10 03:27:40.058904 : Epoch 10, Batch    649, Loss  0.531978, Average Loss  0.533825, Time  0.261706
2021-09-10 03:27:41.932952 : Epoch 10, Batch    650, Loss  0.527505, Average Loss  0.533693, Time  0.262089
2021-09-10 03:27:43.835772 : Epoch 10, Batch    651, Loss  0.549658, Average Loss  0.533731, Time  0.262825
2021-09-10 03:27:45.747885 : Epoch 10, Batch    652, Loss  0.546831, Average Loss  0.533752, Time  0.258213
2021-09-10 03:27:47.640083 : Epoch 10, Batch    653, Loss  0.550054, Average Loss  0.533795, Time  0.259147
2021-09-10 03:27:49.551892 : Epoch 10, Batch    654, Loss  0.529573, Average Loss  0.533831, Time  0.258331
2021-09-10 03:27:51.441073 : Epoch 10, Batch    655, Loss  0.525863, Average Loss  0.533811, Time  0.257989
2021-09-10 03:27:53.350808 : Epoch 10, Batch    656, Loss  0.530726, Average Loss  0.533867, Time  0.258523
2021-09-10 03:27:55.286842 : Epoch 10, Batch    657, Loss  0.522121, Average Loss  0.533802, Time  0.258573
2021-09-10 03:27:57.188806 : Epoch 10, Batch    658, Loss  0.534686, Average Loss  0.533816, Time  0.258011
2021-09-10 03:27:59.105056 : Epoch 10, Batch    659, Loss  0.530598, Average Loss  0.533790, Time  0.258411
2021-09-10 03:28:01.003577 : Epoch 10, Batch    660, Loss  0.525893, Average Loss  0.533756, Time  0.258325
2021-09-10 03:28:02.911061 : Epoch 10, Batch    661, Loss  0.536921, Average Loss  0.533732, Time  0.258142
2021-09-10 03:28:04.837797 : Epoch 10, Batch    662, Loss  0.530582, Average Loss  0.533663, Time  0.258261
2021-09-10 03:28:06.770890 : Epoch 10, Batch    663, Loss  0.543671, Average Loss  0.533673, Time  0.257994
2021-09-10 03:28:08.692858 : Epoch 10, Batch    664, Loss  0.533765, Average Loss  0.533683, Time  0.257901
2021-09-10 03:28:10.612084 : Epoch 10, Batch    665, Loss  0.541705, Average Loss  0.533697, Time  0.258354
2021-09-10 03:28:12.519835 : Epoch 10, Batch    666, Loss  0.537835, Average Loss  0.533721, Time  0.258569
2021-09-10 03:28:14.411793 : Epoch 10, Batch    667, Loss  0.532444, Average Loss  0.533718, Time  0.258447
2021-09-10 03:28:16.332756 : Epoch 10, Batch    668, Loss  0.518736, Average Loss  0.533679, Time  0.258534
2021-09-10 03:28:18.222940 : Epoch 10, Batch    669, Loss  0.532604, Average Loss  0.533673, Time  0.259850
2021-09-10 03:28:20.122816 : Epoch 10, Batch    670, Loss  0.538090, Average Loss  0.533702, Time  0.267256
2021-09-10 03:28:22.006780 : Epoch 10, Batch    671, Loss  0.547440, Average Loss  0.533767, Time  0.262387
2021-09-10 03:28:23.887815 : Epoch 10, Batch    672, Loss  0.537501, Average Loss  0.533763, Time  0.261448
2021-09-10 03:28:25.777799 : Epoch 10, Batch    673, Loss  0.539068, Average Loss  0.533840, Time  0.265940
2021-09-10 03:28:27.672785 : Epoch 10, Batch    674, Loss  0.534867, Average Loss  0.533863, Time  0.262088
2021-09-10 03:28:29.580878 : Epoch 10, Batch    675, Loss  0.536141, Average Loss  0.533871, Time  0.261297
2021-09-10 03:28:31.462773 : Epoch 10, Batch    676, Loss  0.536709, Average Loss  0.533909, Time  0.258736
2021-09-10 03:28:33.364852 : Epoch 10, Batch    677, Loss  0.537938, Average Loss  0.533902, Time  0.265601
2021-09-10 03:28:35.271796 : Epoch 10, Batch    678, Loss  0.527407, Average Loss  0.533869, Time  0.267027
2021-09-10 03:28:37.192904 : Epoch 10, Batch    679, Loss  0.528553, Average Loss  0.533852, Time  0.266482
2021-09-10 03:28:39.091827 : Epoch 10, Batch    680, Loss  0.542176, Average Loss  0.533854, Time  0.259392
2021-09-10 03:28:40.990877 : Epoch 10, Batch    681, Loss  0.539333, Average Loss  0.533916, Time  0.260708
2021-09-10 03:28:42.894099 : Epoch 10, Batch    682, Loss  0.537503, Average Loss  0.533939, Time  0.266714
2021-09-10 03:28:44.805088 : Epoch 10, Batch    683, Loss  0.520060, Average Loss  0.533791, Time  0.259199
2021-09-10 03:28:46.690089 : Epoch 10, Batch    684, Loss  0.535927, Average Loss  0.533703, Time  0.261952
2021-09-10 03:28:48.618792 : Epoch 10, Batch    685, Loss  0.542521, Average Loss  0.533682, Time  0.273883
2021-09-10 03:28:50.530002 : Epoch 10, Batch    686, Loss  0.527143, Average Loss  0.533634, Time  0.261190
2021-09-10 03:28:52.451099 : Epoch 10, Batch    687, Loss  0.528009, Average Loss  0.533666, Time  0.274039
2021-09-10 03:28:56.450830 : Epoch 10, Batch    688, Loss  0.535397, Average Loss  0.533649, Time  0.271897
2021-09-10 03:28:58.342781 : Epoch 10, Batch    689, Loss  0.519260, Average Loss  0.533644, Time  0.266330
2021-09-10 03:29:00.262935 : Epoch 10, Batch    690, Loss  0.545120, Average Loss  0.533727, Time  0.261381
2021-09-10 03:29:02.151897 : Epoch 10, Batch    691, Loss  0.533268, Average Loss  0.533708, Time  0.258251
2021-09-10 03:29:04.051163 : Epoch 10, Batch    692, Loss  0.555623, Average Loss  0.533839, Time  0.258086
2021-09-10 03:29:05.960054 : Epoch 10, Batch    693, Loss  0.536893, Average Loss  0.533891, Time  0.258182
2021-09-10 03:29:07.872818 : Epoch 10, Batch    694, Loss  0.525630, Average Loss  0.533765, Time  0.259030
2021-09-10 03:29:09.783064 : Epoch 10, Batch    695, Loss  0.529880, Average Loss  0.533767, Time  0.258877
2021-09-10 03:29:11.681853 : Epoch 10, Batch    696, Loss  0.535186, Average Loss  0.533738, Time  0.257966
2021-09-10 03:29:13.584972 : Epoch 10, Batch    697, Loss  0.542731, Average Loss  0.533831, Time  0.258769
2021-09-10 03:29:15.498804 : Epoch 10, Batch    698, Loss  0.532827, Average Loss  0.533783, Time  0.258459
2021-09-10 03:29:17.409874 : Epoch 10, Batch    699, Loss  0.541680, Average Loss  0.533862, Time  0.258185
2021-09-10 03:29:19.338867 : Epoch 10, Batch    700, Loss  0.530549, Average Loss  0.533791, Time  0.258006
2021-09-10 03:29:21.252063 : Epoch 10, Batch    701, Loss  0.535560, Average Loss  0.533786, Time  0.258066
2021-09-10 03:29:23.166836 : Epoch 10, Batch    702, Loss  0.536145, Average Loss  0.533781, Time  0.258298
2021-09-10 03:29:25.070060 : Epoch 10, Batch    703, Loss  0.536212, Average Loss  0.533859, Time  0.258351
2021-09-10 03:29:26.973867 : Epoch 10, Batch    704, Loss  0.536545, Average Loss  0.533848, Time  0.257951
2021-09-10 03:29:28.878811 : Epoch 10, Batch    705, Loss  0.550088, Average Loss  0.533904, Time  0.258046
2021-09-10 03:29:30.779833 : Epoch 10, Batch    706, Loss  0.528734, Average Loss  0.533964, Time  0.258227
2021-09-10 03:29:32.669793 : Epoch 10, Batch    707, Loss  0.528271, Average Loss  0.533984, Time  0.258173
2021-09-10 03:29:34.556945 : Epoch 10, Batch    708, Loss  0.533603, Average Loss  0.533990, Time  0.259602
2021-09-10 03:29:36.442767 : Epoch 10, Batch    709, Loss  0.523472, Average Loss  0.533968, Time  0.258311
2021-09-10 03:29:38.355938 : Epoch 10, Batch    710, Loss  0.521001, Average Loss  0.533907, Time  0.258305
2021-09-10 03:29:40.263075 : Epoch 10, Batch    711, Loss  0.544017, Average Loss  0.533959, Time  0.258180
2021-09-10 03:29:42.131752 : Epoch 10, Batch    712, Loss  0.528964, Average Loss  0.533964, Time  0.261811
2021-09-10 03:29:44.018929 : Epoch 10, Batch    713, Loss  0.545784, Average Loss  0.534041, Time  0.261235
2021-09-10 03:29:45.889839 : Epoch 10, Batch    714, Loss  0.547695, Average Loss  0.534130, Time  0.261818
2021-09-10 03:29:46.969731 : CheckPoint: Validation Loss  0.00059792, Best Loss  0.00056427
2021-09-10 03:29:47.770056 : Epoch 10, Batch    715, Loss  0.543491, Average Loss  0.534170, Time  0.258031
2021-09-10 03:29:48.751778 : Epoch  8, Batch   2524, Loss  0.872376, Average Loss  0.868993, Time  0.365165
2021-09-10 03:29:49.646784 : Epoch 10, Batch    716, Loss  0.539154, Average Loss  0.534191, Time  0.258191
2021-09-10 03:29:50.597765 : Epoch  8, Batch   2525, Loss  0.893778, Average Loss  0.869014, Time  0.413712
2021-09-10 03:29:51.536853 : Epoch 10, Batch    717, Loss  0.546686, Average Loss  0.534210, Time  0.263952
2021-09-10 03:29:52.503941 : Epoch  8, Batch   2526, Loss  0.881112, Average Loss  0.869109, Time  0.458466
2021-09-10 03:29:54.401778 : Epoch  8, Batch   2527, Loss  0.888662, Average Loss  0.869303, Time  0.437443
2021-09-10 03:29:56.211782 : Epoch  8, Batch   2528, Loss  0.883855, Average Loss  0.869268, Time  0.361716
2021-09-10 03:29:57.991782 : Epoch  8, Batch   2529, Loss  0.867934, Average Loss  0.869177, Time  0.358206
2021-09-10 03:29:59.846788 : Epoch  8, Batch   2530, Loss  0.875773, Average Loss  0.869185, Time  0.413993
2021-09-10 03:30:01.730534 : Epoch  8, Batch   2531, Loss  0.881687, Average Loss  0.869436, Time  0.457170
2021-09-10 03:30:03.498786 : Epoch  8, Batch   2532, Loss  0.866127, Average Loss  0.869309, Time  0.339031
2021-09-10 03:30:05.299784 : Epoch  8, Batch   2533, Loss  0.872178, Average Loss  0.869360, Time  0.359232
2021-09-10 03:30:07.087781 : Epoch  8, Batch   2534, Loss  0.874099, Average Loss  0.869558, Time  0.355320
2021-09-10 03:30:08.977956 : Epoch  8, Batch   2535, Loss  0.867003, Average Loss  0.869494, Time  0.460249
2021-09-10 03:30:10.912861 : Epoch  8, Batch   2536, Loss  0.833405, Average Loss  0.869247, Time  0.454285
2021-09-10 03:30:12.722830 : Epoch  8, Batch   2537, Loss  0.865871, Average Loss  0.869188, Time  0.366926
2021-09-10 03:30:14.518790 : Epoch  8, Batch   2538, Loss  0.887292, Average Loss  0.869270, Time  0.363743
2021-09-10 03:30:16.347777 : Epoch  8, Batch   2539, Loss  0.848938, Average Loss  0.869303, Time  0.412703
2021-09-10 03:30:18.236159 : Epoch  8, Batch   2540, Loss  0.867999, Average Loss  0.869263, Time  0.458053
2021-09-10 03:30:20.008784 : Epoch  8, Batch   2541, Loss  0.879768, Average Loss  0.869414, Time  0.356362
2021-09-10 03:30:21.782765 : Epoch  8, Batch   2542, Loss  0.848017, Average Loss  0.869123, Time  0.365868
2021-09-10 03:30:23.562784 : Epoch  8, Batch   2543, Loss  0.854825, Average Loss  0.869105, Time  0.367828
2021-09-10 03:30:25.453793 : Epoch  8, Batch   2544, Loss  0.865667, Average Loss  0.868977, Time  0.455035
2021-09-10 03:30:27.291771 : Epoch  8, Batch   2545, Loss  0.871446, Average Loss  0.868907, Time  0.404502
2021-09-10 03:30:29.059943 : Epoch  8, Batch   2546, Loss  0.850433, Average Loss  0.868821, Time  0.357504
2021-09-10 03:30:30.822519 : Epoch  8, Batch   2547, Loss  0.863787, Average Loss  0.868731, Time  0.355695
2021-09-10 03:30:32.693778 : Epoch  8, Batch   2548, Loss  0.885937, Average Loss  0.868756, Time  0.450665
2021-09-10 03:30:34.585778 : Epoch  8, Batch   2549, Loss  0.873232, Average Loss  0.868843, Time  0.460799
2021-09-10 03:30:36.351833 : Epoch  8, Batch   2550, Loss  0.900181, Average Loss  0.869083, Time  0.364128
2021-09-10 03:30:38.166778 : Epoch  8, Batch   2551, Loss  0.888845, Average Loss  0.869243, Time  0.362757
2021-09-10 03:30:39.974778 : Epoch  8, Batch   2552, Loss  0.873133, Average Loss  0.869274, Time  0.378665
2021-09-10 03:30:41.869769 : Epoch  8, Batch   2553, Loss  0.878235, Average Loss  0.869318, Time  0.474946
2021-09-10 03:30:43.640773 : Epoch  8, Batch   2554, Loss  0.847715, Average Loss  0.869212, Time  0.357402
2021-09-10 03:30:45.414782 : Epoch  8, Batch   2555, Loss  0.844892, Average Loss  0.868975, Time  0.357178
2021-09-10 03:30:47.225822 : Epoch  8, Batch   2556, Loss  0.871293, Average Loss  0.868914, Time  0.370782
2021-09-10 03:30:49.120855 : Epoch  8, Batch   2557, Loss  0.891274, Average Loss  0.868932, Time  0.464651
2021-09-10 03:30:50.991789 : Epoch  8, Batch   2558, Loss  0.887681, Average Loss  0.868982, Time  0.422590
2021-09-10 03:30:52.787956 : Epoch  8, Batch   2559, Loss  0.866126, Average Loss  0.869061, Time  0.363524
2021-09-10 03:30:54.548491 : Epoch  8, Batch   2560, Loss  0.864353, Average Loss  0.869171, Time  0.357893
2021-09-10 03:30:56.431784 : Epoch  8, Batch   2561, Loss  0.858210, Average Loss  0.869168, Time  0.452335
2021-09-10 03:30:58.354801 : Epoch  8, Batch   2562, Loss  0.867580, Average Loss  0.869046, Time  0.473152
2021-09-10 03:31:00.163124 : Epoch  8, Batch   2563, Loss  0.851790, Average Loss  0.868934, Time  0.375157
2021-09-10 03:31:01.149758 : CheckPoint: Validation Loss  0.00021636, Best Loss  0.00021414
2021-09-10 03:31:01.973782 : Epoch  8, Batch   2564, Loss  0.872381, Average Loss  0.868966, Time  0.372856
2021-09-10 03:31:03.072863 : Epoch 10, Batch    718, Loss  0.524323, Average Loss  0.534116, Time  0.267655
2021-09-10 03:31:03.755984 : Epoch  8, Batch   2565, Loss  0.858346, Average Loss  0.868769, Time  0.357637
2021-09-10 03:31:04.995913 : Epoch 10, Batch    719, Loss  0.527863, Average Loss  0.534096, Time  0.263142
2021-09-10 03:31:05.660783 : Epoch  8, Batch   2566, Loss  0.870541, Average Loss  0.868908, Time  0.460287
2021-09-10 03:31:06.916801 : Epoch 10, Batch    720, Loss  0.535428, Average Loss  0.534112, Time  0.258119
2021-09-10 03:31:07.554776 : Epoch  8, Batch   2567, Loss  0.881228, Average Loss  0.868886, Time  0.455591
2021-09-10 03:31:08.817900 : Epoch 10, Batch    721, Loss  0.528598, Average Loss  0.534112, Time  0.258568
2021-09-10 03:31:09.322467 : Epoch  8, Batch   2568, Loss  0.819379, Average Loss  0.868617, Time  0.356057
2021-09-10 03:31:10.693860 : Epoch 10, Batch    722, Loss  0.531166, Average Loss  0.534094, Time  0.258206
2021-09-10 03:31:11.070520 : Epoch  8, Batch   2569, Loss  0.893019, Average Loss  0.868870, Time  0.359155
2021-09-10 03:31:12.590189 : Epoch 10, Batch    723, Loss  0.530199, Average Loss  0.534103, Time  0.258771
2021-09-10 03:31:12.865776 : Epoch  8, Batch   2570, Loss  0.854614, Average Loss  0.868898, Time  0.387488
2021-09-10 03:31:14.466753 : Epoch 10, Batch    724, Loss  0.536589, Average Loss  0.534190, Time  0.258318
2021-09-10 03:31:14.718763 : Epoch  8, Batch   2571, Loss  0.875491, Average Loss  0.868715, Time  0.453061
2021-09-10 03:31:16.344145 : Epoch 10, Batch    725, Loss  0.526188, Average Loss  0.534163, Time  0.258420
2021-09-10 03:31:16.489786 : Epoch  8, Batch   2572, Loss  0.863051, Average Loss  0.868762, Time  0.356224
2021-09-10 03:31:18.254860 : Epoch 10, Batch    726, Loss  0.522923, Average Loss  0.534075, Time  0.262244
2021-09-10 03:31:18.330783 : Epoch  8, Batch   2573, Loss  0.829422, Average Loss  0.868541, Time  0.357036
2021-09-10 03:31:20.137771 : Epoch  8, Batch   2574, Loss  0.864894, Average Loss  0.868571, Time  0.377411
2021-09-10 03:31:20.193071 : Epoch 10, Batch    727, Loss  0.522793, Average Loss  0.533968, Time  0.264316
2021-09-10 03:31:22.047952 : Epoch  8, Batch   2575, Loss  0.861853, Average Loss  0.868648, Time  0.461419
2021-09-10 03:31:22.096076 : Epoch 10, Batch    728, Loss  0.523189, Average Loss  0.533899, Time  0.267784
2021-09-10 03:31:23.891205 : Epoch  8, Batch   2576, Loss  0.884682, Average Loss  0.868784, Time  0.420465
2021-09-10 03:31:23.987864 : Epoch 10, Batch    729, Loss  0.529133, Average Loss  0.533878, Time  0.268554
2021-09-10 03:31:25.667971 : Epoch  8, Batch   2577, Loss  0.898714, Average Loss  0.868887, Time  0.358855
2021-09-10 03:31:25.873836 : Epoch 10, Batch    730, Loss  0.545822, Average Loss  0.533990, Time  0.258719
2021-09-10 03:31:27.470791 : Epoch  8, Batch   2578, Loss  0.862555, Average Loss  0.868903, Time  0.363122
2021-09-10 03:31:27.772062 : Epoch 10, Batch    731, Loss  0.524564, Average Loss  0.533900, Time  0.265268
2021-09-10 03:31:29.352889 : Epoch  8, Batch   2579, Loss  0.866187, Average Loss  0.868968, Time  0.425400
2021-09-10 03:31:29.658003 : Epoch 10, Batch    732, Loss  0.524586, Average Loss  0.533819, Time  0.258377
2021-09-10 03:31:31.252790 : Epoch  8, Batch   2580, Loss  0.861645, Average Loss  0.868994, Time  0.458723
2021-09-10 03:31:31.529065 : Epoch 10, Batch    733, Loss  0.535355, Average Loss  0.533870, Time  0.264841
2021-09-10 03:31:33.036784 : Epoch  8, Batch   2581, Loss  0.880035, Average Loss  0.869092, Time  0.358285
2021-09-10 03:31:33.419892 : Epoch 10, Batch    734, Loss  0.539057, Average Loss  0.533845, Time  0.260722
2021-09-10 03:31:34.819781 : Epoch  8, Batch   2582, Loss  0.852845, Average Loss  0.868953, Time  0.359636
2021-09-10 03:31:35.307786 : Epoch 10, Batch    735, Loss  0.519772, Average Loss  0.533741, Time  0.258336
2021-09-10 03:31:36.622825 : Epoch  8, Batch   2583, Loss  0.871020, Average Loss  0.868942, Time  0.374485
2021-09-10 03:31:37.194915 : Epoch 10, Batch    736, Loss  0.533611, Average Loss  0.533792, Time  0.257904
2021-09-10 03:31:38.522779 : Epoch  8, Batch   2584, Loss  0.847973, Average Loss  0.868985, Time  0.462885
2021-09-10 03:31:39.094543 : Epoch 10, Batch    737, Loss  0.537169, Average Loss  0.533843, Time  0.258276
2021-09-10 03:31:40.265793 : Epoch  8, Batch   2585, Loss  0.878357, Average Loss  0.869105, Time  0.339034
2021-09-10 03:31:40.994769 : Epoch 10, Batch    738, Loss  0.529054, Average Loss  0.533786, Time  0.260335
2021-09-10 03:31:42.030774 : Epoch  8, Batch   2586, Loss  0.865900, Average Loss  0.869138, Time  0.364683
2021-09-10 03:31:42.919053 : Epoch 10, Batch    739, Loss  0.529242, Average Loss  0.533752, Time  0.257759
2021-09-10 03:31:43.894138 : Epoch  8, Batch   2587, Loss  0.877220, Average Loss  0.869193, Time  0.355428
2021-09-10 03:31:44.833773 : Epoch 10, Batch    740, Loss  0.534814, Average Loss  0.533745, Time  0.257921
2021-09-10 03:31:45.770805 : Epoch  8, Batch   2588, Loss  0.861984, Average Loss  0.869162, Time  0.454909
2021-09-10 03:31:46.741928 : Epoch 10, Batch    741, Loss  0.539582, Average Loss  0.533803, Time  0.258685
2021-09-10 03:31:47.587828 : Epoch  8, Batch   2589, Loss  0.869467, Average Loss  0.869084, Time  0.415420
2021-09-10 03:31:48.667762 : Epoch 10, Batch    742, Loss  0.532911, Average Loss  0.533768, Time  0.258157
2021-09-10 03:31:49.384125 : Epoch  8, Batch   2590, Loss  0.873968, Average Loss  0.869111, Time  0.357895
2021-09-10 03:31:50.565051 : Epoch 10, Batch    743, Loss  0.528161, Average Loss  0.533839, Time  0.258269
2021-09-10 03:31:51.198781 : Epoch  8, Batch   2591, Loss  0.861441, Average Loss  0.869015, Time  0.374486
2021-09-10 03:31:52.458832 : Epoch 10, Batch    744, Loss  0.535967, Average Loss  0.533811, Time  0.258347
2021-09-10 03:31:53.087110 : Epoch  8, Batch   2592, Loss  0.873994, Average Loss  0.868960, Time  0.415301
2021-09-10 03:31:54.344747 : Epoch 10, Batch    745, Loss  0.546675, Average Loss  0.533911, Time  0.262072
2021-09-10 03:31:55.006871 : Epoch  8, Batch   2593, Loss  0.861414, Average Loss  0.869013, Time  0.469522
2021-09-10 03:31:56.233787 : Epoch 10, Batch    746, Loss  0.535147, Average Loss  0.533948, Time  0.261510
2021-09-10 03:31:56.880785 : Epoch  8, Batch   2594, Loss  0.837361, Average Loss  0.868823, Time  0.424458
2021-09-10 03:31:58.124981 : Epoch 10, Batch    747, Loss  0.533810, Average Loss  0.533949, Time  0.265661
2021-09-10 03:31:58.706773 : Epoch  8, Batch   2595, Loss  0.838620, Average Loss  0.868658, Time  0.368602
2021-09-10 03:31:59.987282 : Epoch 10, Batch    748, Loss  0.533516, Average Loss  0.533935, Time  0.258613
2021-09-10 03:32:00.527788 : Epoch  8, Batch   2596, Loss  0.855891, Average Loss  0.868657, Time  0.360420
2021-09-10 03:32:01.855855 : Epoch 10, Batch    749, Loss  0.530091, Average Loss  0.533955, Time  0.261218
2021-09-10 03:32:02.390234 : Epoch  8, Batch   2597, Loss  0.856684, Average Loss  0.868558, Time  0.414600
2021-09-10 03:32:03.748881 : Epoch 10, Batch    750, Loss  0.531875, Average Loss  0.533910, Time  0.258433
2021-09-10 03:32:04.263781 : Epoch  8, Batch   2598, Loss  0.877318, Average Loss  0.868587, Time  0.463295
2021-09-10 03:32:05.623734 : Epoch 10, Batch    751, Loss  0.536542, Average Loss  0.533908, Time  0.258447
2021-09-10 03:32:06.045781 : Epoch  8, Batch   2599, Loss  0.867073, Average Loss  0.868708, Time  0.361404
2021-09-10 03:32:07.503768 : Epoch 10, Batch    752, Loss  0.536597, Average Loss  0.533911, Time  0.264855
2021-09-10 03:32:07.841796 : Epoch  8, Batch   2600, Loss  0.876008, Average Loss  0.868795, Time  0.365905
2021-09-10 03:32:09.379900 : Epoch 10, Batch    753, Loss  0.528923, Average Loss  0.533904, Time  0.258694
2021-09-10 03:32:09.647768 : Epoch  8, Batch   2601, Loss  0.880536, Average Loss  0.868928, Time  0.386843
2021-09-10 03:32:11.284930 : Epoch 10, Batch    754, Loss  0.538768, Average Loss  0.533927, Time  0.262674
2021-09-10 03:32:11.549125 : Epoch  8, Batch   2602, Loss  0.866196, Average Loss  0.868903, Time  0.469001
2021-09-10 03:32:13.189918 : Epoch 10, Batch    755, Loss  0.524700, Average Loss  0.533898, Time  0.259570
2021-09-10 03:32:13.362768 : Epoch  8, Batch   2603, Loss  0.877856, Average Loss  0.869020, Time  0.406395
2021-09-10 03:32:15.083762 : Epoch 10, Batch    756, Loss  0.536396, Average Loss  0.533897, Time  0.264282
2021-09-10 03:32:15.135757 : Epoch  8, Batch   2604, Loss  0.849908, Average Loss  0.868875, Time  0.358241
2021-09-10 03:32:16.962829 : Epoch  8, Batch   2605, Loss  0.875501, Average Loss  0.869069, Time  0.365992
2021-09-10 03:32:17.005074 : Epoch 10, Batch    757, Loss  0.541440, Average Loss  0.533959, Time  0.259358
2021-09-10 03:32:18.822832 : Epoch  8, Batch   2606, Loss  0.860412, Average Loss  0.869030, Time  0.428671
2021-09-10 03:32:18.920757 : Epoch 10, Batch    758, Loss  0.517664, Average Loss  0.533837, Time  0.267474
2021-09-10 03:32:20.710781 : Epoch  8, Batch   2607, Loss  0.879778, Average Loss  0.869060, Time  0.467149
2021-09-10 03:32:20.808776 : Epoch 10, Batch    759, Loss  0.530572, Average Loss  0.533799, Time  0.266672
2021-09-10 03:32:22.511770 : Epoch  8, Batch   2608, Loss  0.876717, Average Loss  0.868993, Time  0.357021
2021-09-10 03:32:22.686825 : Epoch 10, Batch    760, Loss  0.531121, Average Loss  0.533769, Time  0.259141
2021-09-10 03:32:24.311824 : Epoch  8, Batch   2609, Loss  0.871602, Average Loss  0.869089, Time  0.357246
2021-09-10 03:32:24.561065 : Epoch 10, Batch    761, Loss  0.545400, Average Loss  0.533791, Time  0.258302
2021-09-10 03:32:26.109986 : Epoch  8, Batch   2610, Loss  0.908478, Average Loss  0.869179, Time  0.366843
2021-09-10 03:32:26.457080 : Epoch 10, Batch    762, Loss  0.540312, Average Loss  0.533881, Time  0.258220
2021-09-10 03:32:28.015785 : Epoch  8, Batch   2611, Loss  0.882885, Average Loss  0.869101, Time  0.452584
2021-09-10 03:32:28.348909 : Epoch 10, Batch    763, Loss  0.529975, Average Loss  0.533877, Time  0.261195
2021-09-10 03:32:29.874807 : Epoch  8, Batch   2612, Loss  0.875963, Average Loss  0.869127, Time  0.415581
2021-09-10 03:32:30.229833 : Epoch 10, Batch    764, Loss  0.527706, Average Loss  0.533804, Time  0.261025
2021-09-10 03:32:31.678775 : Epoch  8, Batch   2613, Loss  0.877163, Average Loss  0.869253, Time  0.357033
2021-09-10 03:32:32.110777 : Epoch 10, Batch    765, Loss  0.530272, Average Loss  0.533806, Time  0.262329
2021-09-10 03:32:33.475975 : Epoch  8, Batch   2614, Loss  0.880631, Average Loss  0.869238, Time  0.357372
2021-09-10 03:32:33.995841 : Epoch 10, Batch    766, Loss  0.544546, Average Loss  0.533896, Time  0.261699
2021-09-10 03:32:35.345798 : Epoch  8, Batch   2615, Loss  0.849662, Average Loss  0.869059, Time  0.416531
2021-09-10 03:32:35.889793 : Epoch 10, Batch    767, Loss  0.538220, Average Loss  0.533908, Time  0.260131
2021-09-10 03:32:37.249883 : Epoch  8, Batch   2616, Loss  0.854665, Average Loss  0.868826, Time  0.450855
2021-09-10 03:32:37.781082 : Epoch 10, Batch    768, Loss  0.539038, Average Loss  0.533925, Time  0.257982
2021-09-10 03:32:39.064768 : Epoch  8, Batch   2617, Loss  0.863673, Average Loss  0.868828, Time  0.366895
2021-09-10 03:32:39.661084 : Epoch 10, Batch    769, Loss  0.527006, Average Loss  0.533862, Time  0.258063
2021-09-10 03:32:40.851767 : Epoch  8, Batch   2618, Loss  0.872178, Average Loss  0.868720, Time  0.357438
2021-09-10 03:32:41.567118 : Epoch 10, Batch    770, Loss  0.547649, Average Loss  0.533933, Time  0.258754
2021-09-10 03:32:42.631783 : Epoch  8, Batch   2619, Loss  0.870735, Average Loss  0.868642, Time  0.359329
2021-09-10 03:32:43.465094 : Epoch 10, Batch    771, Loss  0.537168, Average Loss  0.533983, Time  0.258845
2021-09-10 03:32:44.509581 : Epoch  8, Batch   2620, Loss  0.909688, Average Loss  0.868852, Time  0.455128
2021-09-10 03:32:45.386854 : Epoch 10, Batch    772, Loss  0.543113, Average Loss  0.533983, Time  0.272372
2021-09-10 03:32:46.387783 : Epoch  8, Batch   2621, Loss  0.839914, Average Loss  0.868734, Time  0.448604
2021-09-10 03:32:47.275816 : Epoch 10, Batch    773, Loss  0.527942, Average Loss  0.533997, Time  0.264348
2021-09-10 03:32:48.170130 : Epoch  8, Batch   2622, Loss  0.859196, Average Loss  0.868698, Time  0.366625
2021-09-10 03:32:49.177087 : Epoch 10, Batch    774, Loss  0.539854, Average Loss  0.534024, Time  0.259172
2021-09-10 03:32:49.966775 : Epoch  8, Batch   2623, Loss  0.867519, Average Loss  0.868755, Time  0.367336
2021-09-10 03:32:51.107221 : Epoch 10, Batch    775, Loss  0.523766, Average Loss  0.534019, Time  0.265617
2021-09-10 03:32:53.031154 : Epoch 10, Batch    776, Loss  0.538575, Average Loss  0.534079, Time  0.276048
2021-09-10 03:32:54.925141 : Epoch 10, Batch    777, Loss  0.533314, Average Loss  0.534112, Time  0.261775
2021-09-10 03:32:56.817084 : Epoch 10, Batch    778, Loss  0.542225, Average Loss  0.534126, Time  0.262897
2021-09-10 03:32:58.682084 : Epoch 10, Batch    779, Loss  0.536411, Average Loss  0.534165, Time  0.263052
2021-09-10 03:33:00.596794 : Epoch 10, Batch    780, Loss  0.533528, Average Loss  0.534153, Time  0.273698
2021-09-10 03:33:02.490441 : Epoch 10, Batch    781, Loss  0.530831, Average Loss  0.534129, Time  0.260202
2021-09-10 03:33:04.362768 : Epoch 10, Batch    782, Loss  0.535151, Average Loss  0.534142, Time  0.260537
2021-09-10 03:33:06.231280 : Epoch 10, Batch    783, Loss  0.542114, Average Loss  0.534257, Time  0.258505
2021-09-10 03:33:08.122102 : Epoch 10, Batch    784, Loss  0.536942, Average Loss  0.534263, Time  0.258227
2021-09-10 03:33:09.992838 : Epoch 10, Batch    785, Loss  0.533936, Average Loss  0.534289, Time  0.266635
2021-09-10 03:33:11.872947 : Epoch 10, Batch    786, Loss  0.536663, Average Loss  0.534330, Time  0.264163
2021-09-10 03:33:13.742078 : Epoch 10, Batch    787, Loss  0.524092, Average Loss  0.534238, Time  0.258197
2021-09-10 03:33:13.788629 : Saving Model after 10-th Epoch.
2021-09-10 03:33:16.912673 : Epoch Finished.
2021-09-10 03:37:40.424725 : CheckPoint: Validation Loss  0.00062731, Best Loss  0.00056427
2021-09-10 03:37:42.219680 : Epoch  8, Batch   2624, Loss  0.872935, Average Loss  0.868823, Time  0.355581
2021-09-10 03:37:44.074777 : Epoch  8, Batch   2625, Loss  0.874261, Average Loss  0.868733, Time  0.451054
2021-09-10 03:37:45.935783 : Epoch  8, Batch   2626, Loss  0.863417, Average Loss  0.868811, Time  0.446118
2021-09-10 03:37:47.728772 : Epoch  8, Batch   2627, Loss  0.861181, Average Loss  0.868901, Time  0.369077
2021-09-10 03:37:49.490114 : Epoch  8, Batch   2628, Loss  0.897107, Average Loss  0.868984, Time  0.356828
2021-09-10 03:37:51.321778 : Epoch  8, Batch   2629, Loss  0.877065, Average Loss  0.869125, Time  0.423611
2021-09-10 03:37:53.210773 : Epoch  8, Batch   2630, Loss  0.867326, Average Loss  0.869123, Time  0.456106
2021-09-10 03:37:54.998776 : Epoch  8, Batch   2631, Loss  0.844001, Average Loss  0.869072, Time  0.335953
2021-09-10 03:37:56.789225 : Epoch  8, Batch   2632, Loss  0.872421, Average Loss  0.869154, Time  0.365775
2021-09-10 03:37:58.555862 : Epoch  8, Batch   2633, Loss  0.845548, Average Loss  0.869039, Time  0.357030
2021-09-10 03:38:00.427777 : Epoch  8, Batch   2634, Loss  0.869120, Average Loss  0.868991, Time  0.458768
2021-09-10 03:38:02.222774 : Epoch  8, Batch   2635, Loss  0.896033, Average Loss  0.869201, Time  0.363814
2021-09-10 03:38:03.994778 : Epoch  8, Batch   2636, Loss  0.874603, Average Loss  0.869231, Time  0.358058
2021-09-10 03:38:05.787782 : Epoch  8, Batch   2637, Loss  0.867584, Average Loss  0.869029, Time  0.370723
2021-09-10 03:38:07.678107 : Epoch  8, Batch   2638, Loss  0.895040, Average Loss  0.869307, Time  0.468989
2021-09-10 03:38:09.449758 : Epoch  8, Batch   2639, Loss  0.872742, Average Loss  0.869241, Time  0.344829
2021-09-10 03:38:11.234899 : Epoch  8, Batch   2640, Loss  0.865541, Average Loss  0.869253, Time  0.364017
2021-09-10 03:38:13.042783 : Epoch  8, Batch   2641, Loss  0.855152, Average Loss  0.869257, Time  0.357667
2021-09-10 03:38:14.926161 : Epoch  8, Batch   2642, Loss  0.885731, Average Loss  0.869482, Time  0.459933
2021-09-10 03:38:16.760766 : Epoch  8, Batch   2643, Loss  0.853172, Average Loss  0.869506, Time  0.431081
2021-09-10 03:38:18.591109 : Epoch  8, Batch   2644, Loss  0.854006, Average Loss  0.869411, Time  0.375035
2021-09-10 03:38:20.378867 : Epoch  8, Batch   2645, Loss  0.851189, Average Loss  0.869340, Time  0.363113
2021-09-10 03:38:22.217827 : Epoch  8, Batch   2646, Loss  0.865549, Average Loss  0.869291, Time  0.428306
2021-09-10 03:38:24.124972 : Epoch  8, Batch   2647, Loss  0.856523, Average Loss  0.869214, Time  0.464797
2021-09-10 03:38:25.904106 : Epoch  8, Batch   2648, Loss  0.869081, Average Loss  0.869195, Time  0.358440
2021-09-10 03:38:27.672874 : Epoch  8, Batch   2649, Loss  0.856683, Average Loss  0.869175, Time  0.357505
2021-09-10 03:38:29.474833 : Epoch  8, Batch   2650, Loss  0.859186, Average Loss  0.869068, Time  0.387141
2021-09-10 03:38:31.352114 : Epoch  8, Batch   2651, Loss  0.885470, Average Loss  0.868993, Time  0.458759
2021-09-10 03:38:33.144818 : Epoch  8, Batch   2652, Loss  0.879660, Average Loss  0.868967, Time  0.336188
2021-09-10 03:38:34.929818 : Epoch  8, Batch   2653, Loss  0.844191, Average Loss  0.868904, Time  0.358317
2021-09-10 03:38:36.715109 : Epoch  8, Batch   2654, Loss  0.862049, Average Loss  0.868809, Time  0.360237
2021-09-10 03:38:38.599117 : Epoch  8, Batch   2655, Loss  0.876597, Average Loss  0.868730, Time  0.452648
2021-09-10 03:38:40.378771 : Epoch  8, Batch   2656, Loss  0.856647, Average Loss  0.868600, Time  0.334099
2021-09-10 03:38:42.168877 : Epoch  8, Batch   2657, Loss  0.879440, Average Loss  0.868820, Time  0.378284
2021-09-10 03:38:43.962099 : Epoch  8, Batch   2658, Loss  0.865180, Average Loss  0.868851, Time  0.365696
2021-09-10 03:38:45.847867 : Epoch  8, Batch   2659, Loss  0.877747, Average Loss  0.868924, Time  0.461734
2021-09-10 03:38:47.617776 : Epoch  8, Batch   2660, Loss  0.862653, Average Loss  0.868904, Time  0.356658
2021-09-10 03:38:49.414813 : Epoch  8, Batch   2661, Loss  0.873118, Average Loss  0.868893, Time  0.361628
2021-09-10 03:38:51.193811 : Epoch  8, Batch   2662, Loss  0.848354, Average Loss  0.868743, Time  0.363703
2021-09-10 03:38:53.080779 : Epoch  8, Batch   2663, Loss  0.856607, Average Loss  0.868668, Time  0.460319
2021-09-10 03:38:54.861782 : Epoch  8, Batch   2664, Loss  0.890402, Average Loss  0.868785, Time  0.354457
2021-09-10 03:38:56.618106 : Epoch  8, Batch   2665, Loss  0.848900, Average Loss  0.868547, Time  0.356606
2021-09-10 03:38:58.407780 : Epoch  8, Batch   2666, Loss  0.864071, Average Loss  0.868489, Time  0.373767
2021-09-10 03:39:00.275775 : Epoch  8, Batch   2667, Loss  0.833881, Average Loss  0.868345, Time  0.450170
2021-09-10 03:39:02.068980 : Epoch  8, Batch   2668, Loss  0.862524, Average Loss  0.868434, Time  0.362263
2021-09-10 03:39:03.835778 : Epoch  8, Batch   2669, Loss  0.869422, Average Loss  0.868601, Time  0.362843
2021-09-10 03:39:05.639102 : Epoch  8, Batch   2670, Loss  0.847535, Average Loss  0.868454, Time  0.379028
2021-09-10 03:39:07.518789 : Epoch  8, Batch   2671, Loss  0.842362, Average Loss  0.868495, Time  0.461708
2021-09-10 03:39:09.312102 : Epoch  8, Batch   2672, Loss  0.868873, Average Loss  0.868448, Time  0.368033
2021-09-10 03:39:11.102766 : Epoch  8, Batch   2673, Loss  0.892430, Average Loss  0.868558, Time  0.361922
2021-09-10 03:39:12.889805 : Epoch  8, Batch   2674, Loss  0.857830, Average Loss  0.868449, Time  0.371869
2021-09-10 03:39:14.750103 : Epoch  8, Batch   2675, Loss  0.858075, Average Loss  0.868356, Time  0.452377
2021-09-10 03:39:16.540652 : Epoch  8, Batch   2676, Loss  0.861704, Average Loss  0.868394, Time  0.357113
2021-09-10 03:39:18.303764 : Epoch  8, Batch   2677, Loss  0.846919, Average Loss  0.868122, Time  0.355936
2021-09-10 03:39:20.119214 : Epoch  8, Batch   2678, Loss  0.847387, Average Loss  0.868015, Time  0.386750
2021-09-10 03:39:22.013768 : Epoch  8, Batch   2679, Loss  0.879870, Average Loss  0.868174, Time  0.475485
2021-09-10 03:39:23.768729 : Epoch  8, Batch   2680, Loss  0.868601, Average Loss  0.868126, Time  0.341976
2021-09-10 03:39:25.538774 : Epoch  8, Batch   2681, Loss  0.877247, Average Loss  0.868161, Time  0.370545
2021-09-10 03:39:27.361776 : Epoch  8, Batch   2682, Loss  0.882829, Average Loss  0.868324, Time  0.357842
2021-09-10 03:39:29.255185 : Epoch  8, Batch   2683, Loss  0.853883, Average Loss  0.868279, Time  0.454628
2021-09-10 03:39:31.039237 : Epoch  8, Batch   2684, Loss  0.883018, Average Loss  0.868406, Time  0.355851
2021-09-10 03:39:32.843763 : Epoch  8, Batch   2685, Loss  0.828562, Average Loss  0.868179, Time  0.358764
2021-09-10 03:39:34.621813 : Epoch  8, Batch   2686, Loss  0.850656, Average Loss  0.867975, Time  0.369222
2021-09-10 03:39:36.528781 : Epoch  8, Batch   2687, Loss  0.888927, Average Loss  0.868088, Time  0.464742
2021-09-10 03:39:38.321778 : Epoch  8, Batch   2688, Loss  0.875817, Average Loss  0.868162, Time  0.346986
2021-09-10 03:39:40.113435 : Epoch  8, Batch   2689, Loss  0.862583, Average Loss  0.867935, Time  0.364995
2021-09-10 03:39:41.875024 : Epoch  8, Batch   2690, Loss  0.847482, Average Loss  0.867784, Time  0.360256
2021-09-10 03:39:43.762810 : Epoch  8, Batch   2691, Loss  0.848075, Average Loss  0.867631, Time  0.462652
2021-09-10 03:39:45.636244 : Epoch  8, Batch   2692, Loss  0.896252, Average Loss  0.867840, Time  0.427663
2021-09-10 03:39:47.428215 : Epoch  8, Batch   2693, Loss  0.829459, Average Loss  0.867652, Time  0.358951
2021-09-10 03:39:49.215872 : Epoch  8, Batch   2694, Loss  0.857204, Average Loss  0.867506, Time  0.362503
2021-09-10 03:39:51.059114 : Epoch  8, Batch   2695, Loss  0.860971, Average Loss  0.867605, Time  0.430071
2021-09-10 03:39:52.927824 : Epoch  8, Batch   2696, Loss  0.871785, Average Loss  0.867627, Time  0.452847
2021-09-10 03:39:54.700772 : Epoch  8, Batch   2697, Loss  0.893391, Average Loss  0.867679, Time  0.362811
2021-09-10 03:39:56.479779 : Epoch  8, Batch   2698, Loss  0.855481, Average Loss  0.867367, Time  0.355600
2021-09-10 03:39:58.282783 : Epoch  8, Batch   2699, Loss  0.852568, Average Loss  0.867250, Time  0.396467
2021-09-10 03:40:00.139117 : Epoch  8, Batch   2700, Loss  0.870968, Average Loss  0.867313, Time  0.452745
2021-09-10 03:40:01.899094 : Epoch  8, Batch   2701, Loss  0.856939, Average Loss  0.867376, Time  0.356007
2021-09-10 03:40:03.673235 : Epoch  8, Batch   2702, Loss  0.873437, Average Loss  0.867272, Time  0.356393
2021-09-10 03:40:05.490782 : Epoch  8, Batch   2703, Loss  0.892137, Average Loss  0.867492, Time  0.398967
2021-09-10 03:40:07.393235 : Epoch  8, Batch   2704, Loss  0.871957, Average Loss  0.867399, Time  0.475612
2021-09-10 03:40:09.188772 : Epoch  8, Batch   2705, Loss  0.872892, Average Loss  0.867401, Time  0.363685
2021-09-10 03:40:10.975109 : Epoch  8, Batch   2706, Loss  0.867762, Average Loss  0.867388, Time  0.364755
2021-09-10 03:40:12.743800 : Epoch  8, Batch   2707, Loss  0.880701, Average Loss  0.867447, Time  0.366465
2021-09-10 03:40:14.620568 : Epoch  8, Batch   2708, Loss  0.892280, Average Loss  0.867580, Time  0.451686
2021-09-10 03:40:16.388986 : Epoch  8, Batch   2709, Loss  0.874556, Average Loss  0.867413, Time  0.356889
2021-09-10 03:40:18.174838 : Epoch  8, Batch   2710, Loss  0.878136, Average Loss  0.867378, Time  0.355288
2021-09-10 03:40:19.972137 : Epoch  8, Batch   2711, Loss  0.888992, Average Loss  0.867311, Time  0.382748
2021-09-10 03:40:21.849330 : Epoch  8, Batch   2712, Loss  0.841617, Average Loss  0.867179, Time  0.455975
2021-09-10 03:40:23.627812 : Epoch  8, Batch   2713, Loss  0.854959, Average Loss  0.867174, Time  0.357197
2021-09-10 03:40:25.408856 : Epoch  8, Batch   2714, Loss  0.881517, Average Loss  0.867342, Time  0.357750
2021-09-10 03:40:27.205783 : Epoch  8, Batch   2715, Loss  0.862510, Average Loss  0.867358, Time  0.382168
2021-09-10 03:40:29.069106 : Epoch  8, Batch   2716, Loss  0.854738, Average Loss  0.867416, Time  0.448889
2021-09-10 03:40:30.850772 : Epoch  8, Batch   2717, Loss  0.874850, Average Loss  0.867398, Time  0.361740
2021-09-10 03:40:32.646776 : Epoch  8, Batch   2718, Loss  0.849222, Average Loss  0.867416, Time  0.365045
2021-09-10 03:40:34.457775 : Epoch  8, Batch   2719, Loss  0.873941, Average Loss  0.867529, Time  0.383617
2021-09-10 03:40:36.355764 : Epoch  8, Batch   2720, Loss  0.847464, Average Loss  0.867315, Time  0.453535
2021-09-10 03:40:38.170838 : Epoch  8, Batch   2721, Loss  0.850467, Average Loss  0.867156, Time  0.354524
2021-09-10 03:40:39.967781 : Epoch  8, Batch   2722, Loss  0.862587, Average Loss  0.867091, Time  0.357141
2021-09-10 03:40:41.780780 : Epoch  8, Batch   2723, Loss  0.877080, Average Loss  0.867323, Time  0.361430
2021-09-10 03:45:33.188704 : CheckPoint: Validation Loss  0.00060740, Best Loss  0.00056427
2021-09-10 03:45:34.960778 : Epoch  8, Batch   2724, Loss  0.885678, Average Loss  0.867389, Time  0.356821
2021-09-10 03:45:36.785767 : Epoch  8, Batch   2725, Loss  0.876086, Average Loss  0.867301, Time  0.414813
2021-09-10 03:45:38.633841 : Epoch  8, Batch   2726, Loss  0.890673, Average Loss  0.867349, Time  0.449964
2021-09-10 03:45:40.393160 : Epoch  8, Batch   2727, Loss  0.848034, Average Loss  0.867145, Time  0.356880
2021-09-10 03:45:42.163073 : Epoch  8, Batch   2728, Loss  0.865658, Average Loss  0.867054, Time  0.356481
2021-09-10 03:45:44.009766 : Epoch  8, Batch   2729, Loss  0.877575, Average Loss  0.867103, Time  0.406121
2021-09-10 03:45:45.868454 : Epoch  8, Batch   2730, Loss  0.877280, Average Loss  0.867110, Time  0.447524
2021-09-10 03:45:47.644866 : Epoch  8, Batch   2731, Loss  0.857663, Average Loss  0.866990, Time  0.354713
2021-09-10 03:45:49.417853 : Epoch  8, Batch   2732, Loss  0.877244, Average Loss  0.867046, Time  0.357348
2021-09-10 03:45:51.245070 : Epoch  8, Batch   2733, Loss  0.856968, Average Loss  0.866970, Time  0.394124
2021-09-10 03:45:53.136776 : Epoch  8, Batch   2734, Loss  0.869767, Average Loss  0.866948, Time  0.452669
2021-09-10 03:45:54.916924 : Epoch  8, Batch   2735, Loss  0.836487, Average Loss  0.866795, Time  0.355394
2021-09-10 03:45:56.714999 : Epoch  8, Batch   2736, Loss  0.851241, Average Loss  0.866885, Time  0.355881
2021-09-10 03:45:58.543073 : Epoch  8, Batch   2737, Loss  0.864442, Average Loss  0.866877, Time  0.373372
2021-09-10 03:46:00.445780 : Epoch  8, Batch   2738, Loss  0.890452, Average Loss  0.866893, Time  0.450119
2021-09-10 03:46:02.238778 : Epoch  8, Batch   2739, Loss  0.872404, Average Loss  0.867010, Time  0.345708
2021-09-10 03:46:04.058765 : Epoch  8, Batch   2740, Loss  0.880422, Average Loss  0.867073, Time  0.356945
2021-09-10 03:46:05.808164 : Epoch  8, Batch   2741, Loss  0.882756, Average Loss  0.867088, Time  0.356966
2021-09-10 03:46:07.688081 : Epoch  8, Batch   2742, Loss  0.852250, Average Loss  0.867109, Time  0.454014
2021-09-10 03:46:09.540845 : Epoch  8, Batch   2743, Loss  0.855413, Average Loss  0.867112, Time  0.415773
2021-09-10 03:46:11.350778 : Epoch  8, Batch   2744, Loss  0.857765, Average Loss  0.867072, Time  0.356947
2021-09-10 03:46:13.142886 : Epoch  8, Batch   2745, Loss  0.874235, Average Loss  0.867086, Time  0.357333
2021-09-10 03:46:15.002765 : Epoch  8, Batch   2746, Loss  0.849821, Average Loss  0.867083, Time  0.423764
2021-09-10 03:46:16.908773 : Epoch  8, Batch   2747, Loss  0.899996, Average Loss  0.867264, Time  0.452598
2021-09-10 03:46:18.696763 : Epoch  8, Batch   2748, Loss  0.858013, Average Loss  0.867124, Time  0.348392
2021-09-10 03:46:20.484868 : Epoch  8, Batch   2749, Loss  0.859603, Average Loss  0.867056, Time  0.366134
2021-09-10 03:46:22.274087 : Epoch  8, Batch   2750, Loss  0.885355, Average Loss  0.866982, Time  0.363003
2021-09-10 03:46:24.160781 : Epoch  8, Batch   2751, Loss  0.832092, Average Loss  0.866698, Time  0.452699
2021-09-10 03:46:25.949179 : Epoch  8, Batch   2752, Loss  0.863458, Average Loss  0.866650, Time  0.357057
2021-09-10 03:46:27.734777 : Epoch  8, Batch   2753, Loss  0.858129, Average Loss  0.866550, Time  0.358246
2021-09-10 03:46:29.543830 : Epoch  8, Batch   2754, Loss  0.875658, Average Loss  0.866689, Time  0.367719
2021-09-10 03:46:31.447781 : Epoch  8, Batch   2755, Loss  0.869750, Average Loss  0.866814, Time  0.451920
2021-09-10 03:46:33.259936 : Epoch  8, Batch   2756, Loss  0.889794, Average Loss  0.866906, Time  0.348431
2021-09-10 03:46:35.044168 : Epoch  8, Batch   2757, Loss  0.864911, Average Loss  0.866774, Time  0.356514
2021-09-10 03:46:36.815566 : Epoch  8, Batch   2758, Loss  0.882952, Average Loss  0.866751, Time  0.368534
2021-09-10 03:46:38.734779 : Epoch  8, Batch   2759, Loss  0.892113, Average Loss  0.866880, Time  0.455260
2021-09-10 03:46:40.618238 : Epoch  8, Batch   2760, Loss  0.906709, Average Loss  0.867092, Time  0.446807
2021-09-10 03:46:42.414764 : Epoch  8, Batch   2761, Loss  0.843343, Average Loss  0.867018, Time  0.359149
2021-09-10 03:46:44.174774 : Epoch  8, Batch   2762, Loss  0.840851, Average Loss  0.866884, Time  0.365093
2021-09-10 03:46:46.004104 : Epoch  8, Batch   2763, Loss  0.845062, Average Loss  0.866851, Time  0.418864
2021-09-10 03:46:47.889780 : Epoch  8, Batch   2764, Loss  0.866262, Average Loss  0.866820, Time  0.458939
2021-09-10 03:46:49.693763 : Epoch  8, Batch   2765, Loss  0.866271, Average Loss  0.866860, Time  0.365847
2021-09-10 03:46:51.516135 : Epoch  8, Batch   2766, Loss  0.877628, Average Loss  0.866895, Time  0.365181
2021-09-10 03:46:53.319781 : Epoch  8, Batch   2767, Loss  0.874772, Average Loss  0.866863, Time  0.368469
2021-09-10 03:46:55.227885 : Epoch  8, Batch   2768, Loss  0.857654, Average Loss  0.867054, Time  0.462550
2021-09-10 03:46:57.077779 : Epoch  8, Batch   2769, Loss  0.847820, Average Loss  0.866828, Time  0.413054
2021-09-10 03:46:58.858760 : Epoch  8, Batch   2770, Loss  0.854007, Average Loss  0.866825, Time  0.357634
2021-09-10 03:47:00.632777 : Epoch  8, Batch   2771, Loss  0.853827, Average Loss  0.866717, Time  0.355266
2021-09-10 03:47:02.519907 : Epoch  8, Batch   2772, Loss  0.848623, Average Loss  0.866645, Time  0.451697
2021-09-10 03:47:04.404844 : Epoch  8, Batch   2773, Loss  0.882384, Average Loss  0.866910, Time  0.452282
2021-09-10 03:47:06.187822 : Epoch  8, Batch   2774, Loss  0.838048, Average Loss  0.866775, Time  0.355608
2021-09-10 03:47:07.985887 : Epoch  8, Batch   2775, Loss  0.857653, Average Loss  0.866754, Time  0.356915
2021-09-10 03:47:09.779935 : Epoch  8, Batch   2776, Loss  0.887953, Average Loss  0.866771, Time  0.373364
2021-09-10 03:47:11.669884 : Epoch  8, Batch   2777, Loss  0.871337, Average Loss  0.866634, Time  0.453138
2021-09-10 03:47:13.453835 : Epoch  8, Batch   2778, Loss  0.859439, Average Loss  0.866618, Time  0.356243
2021-09-10 03:47:15.228858 : Epoch  8, Batch   2779, Loss  0.839698, Average Loss  0.866486, Time  0.359082
2021-09-10 03:47:17.030826 : Epoch  8, Batch   2780, Loss  0.879866, Average Loss  0.866577, Time  0.379416
2021-09-10 03:47:18.910382 : Epoch  8, Batch   2781, Loss  0.852465, Average Loss  0.866439, Time  0.454638
2021-09-10 03:47:20.687775 : Epoch  8, Batch   2782, Loss  0.881204, Average Loss  0.866581, Time  0.357543
2021-09-10 03:47:22.479371 : Epoch  8, Batch   2783, Loss  0.872775, Average Loss  0.866590, Time  0.357497
2021-09-10 03:47:24.273797 : Epoch  8, Batch   2784, Loss  0.861331, Average Loss  0.866656, Time  0.370194
2021-09-10 03:47:26.146931 : Epoch  8, Batch   2785, Loss  0.865758, Average Loss  0.866593, Time  0.456393
2021-09-10 03:47:27.903958 : Epoch  8, Batch   2786, Loss  0.849578, Average Loss  0.866512, Time  0.356151
2021-09-10 03:47:29.693825 : Epoch  8, Batch   2787, Loss  0.852908, Average Loss  0.866390, Time  0.363296
2021-09-10 03:47:31.512795 : Epoch  8, Batch   2788, Loss  0.880914, Average Loss  0.866485, Time  0.399865
2021-09-10 03:47:33.448866 : Epoch  8, Batch   2789, Loss  0.865913, Average Loss  0.866467, Time  0.450008
2021-09-10 03:47:35.311211 : Epoch  8, Batch   2790, Loss  0.879264, Average Loss  0.866494, Time  0.416784
2021-09-10 03:47:37.122864 : Epoch  8, Batch   2791, Loss  0.863372, Average Loss  0.866503, Time  0.358329
2021-09-10 03:47:38.930075 : Epoch  8, Batch   2792, Loss  0.895604, Average Loss  0.866611, Time  0.357958
2021-09-10 03:47:40.784934 : Epoch  8, Batch   2793, Loss  0.844145, Average Loss  0.866525, Time  0.419652
2021-09-10 03:47:42.663087 : Epoch  8, Batch   2794, Loss  0.851141, Average Loss  0.866594, Time  0.447417
2021-09-10 03:47:44.453200 : Epoch  8, Batch   2795, Loss  0.855691, Average Loss  0.866679, Time  0.358429
2021-09-10 03:47:46.256077 : Epoch  8, Batch   2796, Loss  0.866120, Average Loss  0.866730, Time  0.357795
2021-09-10 03:47:48.059304 : Epoch  8, Batch   2797, Loss  0.890731, Average Loss  0.866901, Time  0.381961
2021-09-10 03:47:49.959762 : Epoch  8, Batch   2798, Loss  0.855800, Average Loss  0.866793, Time  0.453474
2021-09-10 03:47:51.793104 : Epoch  8, Batch   2799, Loss  0.864676, Average Loss  0.866781, Time  0.374744
2021-09-10 03:47:53.565238 : Epoch  8, Batch   2800, Loss  0.829419, Average Loss  0.866548, Time  0.361363
2021-09-10 03:47:55.358781 : Epoch  8, Batch   2801, Loss  0.859947, Average Loss  0.866445, Time  0.358271
2021-09-10 03:47:57.235182 : Epoch  8, Batch   2802, Loss  0.872841, Average Loss  0.866478, Time  0.451609
2021-09-10 03:47:59.097752 : Epoch  8, Batch   2803, Loss  0.907175, Average Loss  0.866625, Time  0.455359
2021-09-10 03:48:00.908170 : Epoch  8, Batch   2804, Loss  0.889636, Average Loss  0.866824, Time  0.370261
2021-09-10 03:48:02.690268 : Epoch  8, Batch   2805, Loss  0.841832, Average Loss  0.866655, Time  0.357043
2021-09-10 03:48:04.526789 : Epoch  8, Batch   2806, Loss  0.851560, Average Loss  0.866611, Time  0.431616
2021-09-10 03:48:06.444144 : Epoch  8, Batch   2807, Loss  0.851664, Average Loss  0.866470, Time  0.468530
2021-09-10 03:48:08.268785 : Epoch  8, Batch   2808, Loss  0.906947, Average Loss  0.866622, Time  0.388206
2021-09-10 03:48:10.057847 : Epoch  8, Batch   2809, Loss  0.869203, Average Loss  0.866610, Time  0.365291
2021-09-10 03:48:11.840978 : Epoch  8, Batch   2810, Loss  0.878548, Average Loss  0.866460, Time  0.357855
2021-09-10 03:48:13.712166 : Epoch  8, Batch   2811, Loss  0.848966, Average Loss  0.866290, Time  0.452048
2021-09-10 03:48:15.604652 : Epoch  8, Batch   2812, Loss  0.854706, Average Loss  0.866184, Time  0.452698
2021-09-10 03:48:17.435866 : Epoch  8, Batch   2813, Loss  0.862280, Average Loss  0.866110, Time  0.397600
2021-09-10 03:48:19.222776 : Epoch  8, Batch   2814, Loss  0.848975, Average Loss  0.865951, Time  0.355432
2021-09-10 03:48:21.098772 : Epoch  8, Batch   2815, Loss  0.860503, Average Loss  0.866005, Time  0.435196
2021-09-10 03:48:22.973763 : Epoch  8, Batch   2816, Loss  0.854956, Average Loss  0.866007, Time  0.449552
2021-09-10 03:48:24.761231 : Epoch  8, Batch   2817, Loss  0.846094, Average Loss  0.865919, Time  0.356919
2021-09-10 03:48:26.545766 : Epoch  8, Batch   2818, Loss  0.866834, Average Loss  0.865892, Time  0.356918
2021-09-10 03:48:28.362772 : Epoch  8, Batch   2819, Loss  0.897711, Average Loss  0.866027, Time  0.398766
2021-09-10 03:48:30.233105 : Epoch  8, Batch   2820, Loss  0.873484, Average Loss  0.865846, Time  0.456751
2021-09-10 03:48:32.023776 : Epoch  8, Batch   2821, Loss  0.852293, Average Loss  0.865908, Time  0.342180
2021-09-10 03:48:33.813943 : Epoch  8, Batch   2822, Loss  0.910964, Average Loss  0.866167, Time  0.358203
2021-09-10 03:48:35.587859 : Epoch  8, Batch   2823, Loss  0.884799, Average Loss  0.866253, Time  0.371814
2021-09-10 03:53:25.283721 : CheckPoint: Validation Loss  0.00061537, Best Loss  0.00056427
2021-09-10 03:53:27.070023 : Epoch  8, Batch   2824, Loss  0.855497, Average Loss  0.866166, Time  0.356467
2021-09-10 03:53:28.858776 : Epoch  8, Batch   2825, Loss  0.856000, Average Loss  0.866075, Time  0.368467
2021-09-10 03:53:30.639775 : Epoch  8, Batch   2826, Loss  0.886720, Average Loss  0.866191, Time  0.356534
2021-09-10 03:53:32.426766 : Epoch  8, Batch   2827, Loss  0.845244, Average Loss  0.866112, Time  0.360782
2021-09-10 03:53:34.206150 : Epoch  8, Batch   2828, Loss  0.864129, Average Loss  0.865947, Time  0.365566
2021-09-10 03:53:36.015094 : Epoch  8, Batch   2829, Loss  0.868691, Average Loss  0.865905, Time  0.359456
2021-09-10 03:53:37.808807 : Epoch  8, Batch   2830, Loss  0.912043, Average Loss  0.866128, Time  0.369462
2021-09-10 03:53:39.587112 : Epoch  8, Batch   2831, Loss  0.879710, Average Loss  0.866307, Time  0.362304
2021-09-10 03:53:41.379771 : Epoch  8, Batch   2832, Loss  0.871450, Average Loss  0.866302, Time  0.373434
2021-09-10 03:53:43.154850 : Epoch  8, Batch   2833, Loss  0.873661, Average Loss  0.866443, Time  0.363297
2021-09-10 03:53:44.931823 : Epoch  8, Batch   2834, Loss  0.889223, Average Loss  0.866543, Time  0.374279
2021-09-10 03:53:46.704764 : Epoch  8, Batch   2835, Loss  0.857974, Average Loss  0.866353, Time  0.363528
2021-09-10 03:53:48.492778 : Epoch  8, Batch   2836, Loss  0.854039, Average Loss  0.866250, Time  0.381516
2021-09-10 03:53:50.281787 : Epoch  8, Batch   2837, Loss  0.872142, Average Loss  0.866273, Time  0.376733
2021-09-10 03:53:52.061776 : Epoch  8, Batch   2838, Loss  0.853226, Average Loss  0.866064, Time  0.370855
2021-09-10 03:53:53.840764 : Epoch  8, Batch   2839, Loss  0.862187, Average Loss  0.866011, Time  0.366118
2021-09-10 03:53:55.650195 : Epoch  8, Batch   2840, Loss  0.849012, Average Loss  0.865928, Time  0.368345
2021-09-10 03:53:57.426110 : Epoch  8, Batch   2841, Loss  0.885073, Average Loss  0.866078, Time  0.361429
2021-09-10 03:53:59.222774 : Epoch  8, Batch   2842, Loss  0.840386, Average Loss  0.865851, Time  0.374063
2021-09-10 03:54:00.993208 : Epoch  8, Batch   2843, Loss  0.875259, Average Loss  0.865962, Time  0.356885
2021-09-10 03:54:02.800846 : Epoch  8, Batch   2844, Loss  0.875188, Average Loss  0.866068, Time  0.369808
2021-09-10 03:54:04.583848 : Epoch  8, Batch   2845, Loss  0.876288, Average Loss  0.866193, Time  0.358171
2021-09-10 03:54:06.381788 : Epoch  8, Batch   2846, Loss  0.878859, Average Loss  0.866260, Time  0.384265
2021-09-10 03:54:08.170773 : Epoch  8, Batch   2847, Loss  0.835957, Average Loss  0.866157, Time  0.362796
2021-09-10 03:54:09.975775 : Epoch  8, Batch   2848, Loss  0.891303, Average Loss  0.866268, Time  0.364010
2021-09-10 03:54:11.763772 : Epoch  8, Batch   2849, Loss  0.862676, Average Loss  0.866298, Time  0.371330
2021-09-10 03:54:13.560777 : Epoch  8, Batch   2850, Loss  0.868187, Average Loss  0.866343, Time  0.385178
2021-09-10 03:54:15.344437 : Epoch  8, Batch   2851, Loss  0.840192, Average Loss  0.866117, Time  0.365881
2021-09-10 03:54:17.134781 : Epoch  8, Batch   2852, Loss  0.866241, Average Loss  0.866049, Time  0.368096
2021-09-10 03:54:18.944777 : Epoch  8, Batch   2853, Loss  0.871696, Average Loss  0.866187, Time  0.358470
2021-09-10 03:54:20.746270 : Epoch  8, Batch   2854, Loss  0.865021, Average Loss  0.866202, Time  0.364697
2021-09-10 03:54:22.542806 : Epoch  8, Batch   2855, Loss  0.847722, Average Loss  0.866057, Time  0.372886
2021-09-10 03:54:24.339812 : Epoch  8, Batch   2856, Loss  0.890070, Average Loss  0.866225, Time  0.366797
2021-09-10 03:54:26.113801 : Epoch  8, Batch   2857, Loss  0.878447, Average Loss  0.866220, Time  0.364730
2021-09-10 03:54:27.903775 : Epoch  8, Batch   2858, Loss  0.861724, Average Loss  0.866202, Time  0.373043
2021-09-10 03:54:29.674796 : Epoch  8, Batch   2859, Loss  0.853535, Average Loss  0.866081, Time  0.366774
2021-09-10 03:54:31.486019 : Epoch  8, Batch   2860, Loss  0.866605, Average Loss  0.866101, Time  0.377188
2021-09-10 03:54:33.259549 : Epoch  8, Batch   2861, Loss  0.848818, Average Loss  0.865980, Time  0.360351
2021-09-10 03:54:35.070765 : Epoch  8, Batch   2862, Loss  0.837463, Average Loss  0.865925, Time  0.369046
2021-09-10 03:54:36.841800 : Epoch  8, Batch   2863, Loss  0.861077, Average Loss  0.865947, Time  0.368401
2021-09-10 03:54:38.647125 : Epoch  8, Batch   2864, Loss  0.858582, Average Loss  0.865788, Time  0.369951
2021-09-10 03:54:40.409780 : Epoch  8, Batch   2865, Loss  0.873887, Average Loss  0.865913, Time  0.360166
2021-09-10 03:54:42.213766 : Epoch  8, Batch   2866, Loss  0.857289, Average Loss  0.865879, Time  0.371734
2021-09-10 03:54:43.977778 : Epoch  8, Batch   2867, Loss  0.882438, Average Loss  0.866122, Time  0.357795
2021-09-10 03:54:45.765973 : Epoch  8, Batch   2868, Loss  0.860649, Average Loss  0.866113, Time  0.372425
2021-09-10 03:54:47.540450 : Epoch  8, Batch   2869, Loss  0.890169, Average Loss  0.866217, Time  0.374077
2021-09-10 03:54:49.343092 : Epoch  8, Batch   2870, Loss  0.879502, Average Loss  0.866376, Time  0.371844
2021-09-10 03:54:51.111425 : Epoch  8, Batch   2871, Loss  0.827454, Average Loss  0.866302, Time  0.357507
2021-09-10 03:54:52.899774 : Epoch  8, Batch   2872, Loss  0.857365, Average Loss  0.866244, Time  0.376166
2021-09-10 03:54:54.673112 : Epoch  8, Batch   2873, Loss  0.895030, Average Loss  0.866257, Time  0.361263
2021-09-10 03:54:56.441773 : Epoch  8, Batch   2874, Loss  0.874264, Average Loss  0.866339, Time  0.373669
2021-09-10 03:54:58.237378 : Epoch  8, Batch   2875, Loss  0.863278, Average Loss  0.866365, Time  0.375514
2021-09-10 03:55:00.029416 : Epoch  8, Batch   2876, Loss  0.862257, Average Loss  0.866368, Time  0.380303
2021-09-10 03:55:01.783823 : Epoch  8, Batch   2877, Loss  0.859968, Average Loss  0.866433, Time  0.355719
2021-09-10 03:55:03.580936 : Epoch  8, Batch   2878, Loss  0.854725, Average Loss  0.866470, Time  0.378261
2021-09-10 03:55:05.354797 : Epoch  8, Batch   2879, Loss  0.889318, Average Loss  0.866517, Time  0.364379
2021-09-10 03:55:07.127600 : Epoch  8, Batch   2880, Loss  0.865668, Average Loss  0.866503, Time  0.374934
2021-09-10 03:55:08.885790 : Epoch  8, Batch   2881, Loss  0.854311, Average Loss  0.866388, Time  0.359294
2021-09-10 03:55:10.657396 : Epoch  8, Batch   2882, Loss  0.871282, Average Loss  0.866330, Time  0.382371
2021-09-10 03:55:12.422802 : Epoch  8, Batch   2883, Loss  0.845537, Average Loss  0.866289, Time  0.364202
2021-09-10 03:55:14.213805 : Epoch  8, Batch   2884, Loss  0.870547, Average Loss  0.866226, Time  0.377048
2021-09-10 03:55:15.975292 : Epoch  8, Batch   2885, Loss  0.869611, Average Loss  0.866431, Time  0.359130
2021-09-10 03:55:17.783877 : Epoch  8, Batch   2886, Loss  0.859028, Average Loss  0.866473, Time  0.378094
2021-09-10 03:55:19.560785 : Epoch  8, Batch   2887, Loss  0.868991, Average Loss  0.866374, Time  0.359929
2021-09-10 03:55:21.355777 : Epoch  8, Batch   2888, Loss  0.866965, Average Loss  0.866329, Time  0.376138
2021-09-10 03:55:23.135774 : Epoch  8, Batch   2889, Loss  0.882064, Average Loss  0.866427, Time  0.359197
2021-09-10 03:55:24.943800 : Epoch  8, Batch   2890, Loss  0.871811, Average Loss  0.866548, Time  0.378497
2021-09-10 03:55:26.710805 : Epoch  8, Batch   2891, Loss  0.885096, Average Loss  0.866734, Time  0.362920
2021-09-10 03:55:28.494770 : Epoch  8, Batch   2892, Loss  0.858008, Average Loss  0.866542, Time  0.382475
2021-09-10 03:55:30.251764 : Epoch  8, Batch   2893, Loss  0.870259, Average Loss  0.866746, Time  0.360036
2021-09-10 03:55:32.056774 : Epoch  8, Batch   2894, Loss  0.857722, Average Loss  0.866749, Time  0.383654
2021-09-10 03:55:33.829103 : Epoch  8, Batch   2895, Loss  0.854637, Average Loss  0.866717, Time  0.357716
2021-09-10 03:55:35.632763 : Epoch  8, Batch   2896, Loss  0.861007, Average Loss  0.866663, Time  0.369821
2021-09-10 03:55:37.399776 : Epoch  8, Batch   2897, Loss  0.856566, Average Loss  0.866479, Time  0.357188
2021-09-10 03:55:39.208099 : Epoch  8, Batch   2898, Loss  0.869011, Average Loss  0.866547, Time  0.384186
2021-09-10 03:55:40.989770 : Epoch  8, Batch   2899, Loss  0.855550, Average Loss  0.866562, Time  0.360278
2021-09-10 03:55:42.787008 : Epoch  8, Batch   2900, Loss  0.879576, Average Loss  0.866605, Time  0.366294
2021-09-10 03:55:44.575765 : Epoch  8, Batch   2901, Loss  0.839362, Average Loss  0.866517, Time  0.359555
2021-09-10 03:55:46.351822 : Epoch  8, Batch   2902, Loss  0.884631, Average Loss  0.866573, Time  0.376261
2021-09-10 03:55:48.129785 : Epoch  8, Batch   2903, Loss  0.880535, Average Loss  0.866515, Time  0.363511
2021-09-10 03:55:49.938092 : Epoch  8, Batch   2904, Loss  0.839538, Average Loss  0.866353, Time  0.370081
2021-09-10 03:55:51.721774 : Epoch  8, Batch   2905, Loss  0.867769, Average Loss  0.866327, Time  0.363220
2021-09-10 03:55:53.505104 : Epoch  8, Batch   2906, Loss  0.837221, Average Loss  0.866175, Time  0.367416
2021-09-10 03:55:55.290774 : Epoch  8, Batch   2907, Loss  0.856145, Average Loss  0.866052, Time  0.368591
2021-09-10 03:55:57.078765 : Epoch  8, Batch   2908, Loss  0.859175, Average Loss  0.865886, Time  0.368948
2021-09-10 03:55:58.861053 : Epoch  8, Batch   2909, Loss  0.887200, Average Loss  0.865949, Time  0.361415
2021-09-10 03:56:00.648764 : Epoch  8, Batch   2910, Loss  0.867194, Average Loss  0.865895, Time  0.370443
2021-09-10 03:56:02.446778 : Epoch  8, Batch   2911, Loss  0.841563, Average Loss  0.865658, Time  0.372993
2021-09-10 03:56:04.215779 : Epoch  8, Batch   2912, Loss  0.885373, Average Loss  0.865876, Time  0.379096
2021-09-10 03:56:06.011920 : Epoch  8, Batch   2913, Loss  0.854629, Average Loss  0.865875, Time  0.358995
2021-09-10 03:56:07.805108 : Epoch  8, Batch   2914, Loss  0.868565, Average Loss  0.865810, Time  0.377220
2021-09-10 03:56:09.577275 : Epoch  8, Batch   2915, Loss  0.852699, Average Loss  0.865761, Time  0.361624
2021-09-10 03:56:11.356772 : Epoch  8, Batch   2916, Loss  0.866788, Average Loss  0.865821, Time  0.370946
2021-09-10 03:56:13.158609 : Epoch  8, Batch   2917, Loss  0.867026, Average Loss  0.865782, Time  0.363533
2021-09-10 03:56:14.932931 : Epoch  8, Batch   2918, Loss  0.849957, Average Loss  0.865786, Time  0.374744
2021-09-10 03:56:16.798773 : Epoch  8, Batch   2919, Loss  0.880270, Average Loss  0.865817, Time  0.365786
2021-09-10 03:56:18.597962 : Epoch  8, Batch   2920, Loss  0.871014, Average Loss  0.865935, Time  0.367552
2021-09-10 03:56:20.395825 : Epoch  8, Batch   2921, Loss  0.888640, Average Loss  0.866126, Time  0.364883
2021-09-10 03:56:22.177773 : Epoch  8, Batch   2922, Loss  0.876937, Average Loss  0.866198, Time  0.371877
2021-09-10 03:56:23.945140 : Epoch  8, Batch   2923, Loss  0.849937, Average Loss  0.866062, Time  0.357689
2021-09-10 04:01:13.606728 : CheckPoint: Validation Loss  0.00057985, Best Loss  0.00056427
2021-09-10 04:01:15.439789 : Epoch  8, Batch   2924, Loss  0.904490, Average Loss  0.866156, Time  0.417291
2021-09-10 04:01:17.347073 : Epoch  8, Batch   2925, Loss  0.893836, Average Loss  0.866245, Time  0.472599
2021-09-10 04:01:19.140781 : Epoch  8, Batch   2926, Loss  0.878680, Average Loss  0.866185, Time  0.356093
2021-09-10 04:01:20.918533 : Epoch  8, Batch   2927, Loss  0.858933, Average Loss  0.866239, Time  0.372781
2021-09-10 04:01:22.713761 : Epoch  8, Batch   2928, Loss  0.866022, Average Loss  0.866241, Time  0.365762
2021-09-10 04:01:24.612779 : Epoch  8, Batch   2929, Loss  0.856815, Average Loss  0.866137, Time  0.458340
2021-09-10 04:01:26.417769 : Epoch  8, Batch   2930, Loss  0.844846, Average Loss  0.865975, Time  0.371776
2021-09-10 04:01:28.180777 : Epoch  8, Batch   2931, Loss  0.857640, Average Loss  0.865975, Time  0.363380
2021-09-10 04:01:29.935997 : Epoch  8, Batch   2932, Loss  0.876246, Average Loss  0.865970, Time  0.358074
2021-09-10 04:01:31.840100 : Epoch  8, Batch   2933, Loss  0.860890, Average Loss  0.865990, Time  0.460843
2021-09-10 04:01:33.698117 : Epoch  8, Batch   2934, Loss  0.893282, Average Loss  0.866107, Time  0.448353
2021-09-10 04:01:35.484127 : Epoch  8, Batch   2935, Loss  0.874854, Average Loss  0.866299, Time  0.359691
2021-09-10 04:01:37.256058 : Epoch  8, Batch   2936, Loss  0.863688, Average Loss  0.866361, Time  0.365857
2021-09-10 04:01:39.097182 : Epoch  8, Batch   2937, Loss  0.852986, Average Loss  0.866304, Time  0.417648
2021-09-10 04:01:40.946205 : Epoch  8, Batch   2938, Loss  0.893292, Average Loss  0.866318, Time  0.454148
2021-09-10 04:01:42.708047 : Epoch  8, Batch   2939, Loss  0.899329, Average Loss  0.866453, Time  0.366624
2021-09-10 04:01:44.495126 : Epoch  8, Batch   2940, Loss  0.884419, Average Loss  0.866473, Time  0.356276
2021-09-10 04:01:46.316797 : Epoch  8, Batch   2941, Loss  0.856073, Average Loss  0.866339, Time  0.405036
2021-09-10 04:01:48.209854 : Epoch  8, Batch   2942, Loss  0.878310, Average Loss  0.866470, Time  0.453358
2021-09-10 04:01:49.995694 : Epoch  8, Batch   2943, Loss  0.833669, Average Loss  0.866361, Time  0.363421
2021-09-10 04:01:51.770970 : Epoch  8, Batch   2944, Loss  0.888178, Average Loss  0.866513, Time  0.373875
2021-09-10 04:01:53.575227 : Epoch  8, Batch   2945, Loss  0.842424, Average Loss  0.866354, Time  0.377166
2021-09-10 04:01:55.462964 : Epoch  8, Batch   2946, Loss  0.890916, Average Loss  0.866559, Time  0.462255
2021-09-10 04:01:57.275887 : Epoch  8, Batch   2947, Loss  0.865059, Average Loss  0.866385, Time  0.371566
2021-09-10 04:01:59.045798 : Epoch  8, Batch   2948, Loss  0.876087, Average Loss  0.866475, Time  0.364923
2021-09-10 04:02:00.836086 : Epoch  8, Batch   2949, Loss  0.846490, Average Loss  0.866410, Time  0.367916
2021-09-10 04:02:02.694778 : Epoch  8, Batch   2950, Loss  0.873707, Average Loss  0.866351, Time  0.459939
2021-09-10 04:02:04.590797 : Epoch  8, Batch   2951, Loss  0.884458, Average Loss  0.866613, Time  0.448767
2021-09-10 04:02:06.400779 : Epoch  8, Batch   2952, Loss  0.862688, Average Loss  0.866609, Time  0.374256
2021-09-10 04:02:08.195802 : Epoch  8, Batch   2953, Loss  0.857394, Average Loss  0.866606, Time  0.366492
2021-09-10 04:02:10.050916 : Epoch  8, Batch   2954, Loss  0.887392, Average Loss  0.866664, Time  0.426027
2021-09-10 04:02:11.936778 : Epoch  8, Batch   2955, Loss  0.849435, Average Loss  0.866563, Time  0.450791
2021-09-10 04:02:13.715113 : Epoch  8, Batch   2956, Loss  0.837672, Average Loss  0.866302, Time  0.363704
2021-09-10 04:02:15.498776 : Epoch  8, Batch   2957, Loss  0.870435, Average Loss  0.866330, Time  0.357321
2021-09-10 04:02:17.324776 : Epoch  8, Batch   2958, Loss  0.878933, Average Loss  0.866310, Time  0.377466
2021-09-10 04:02:19.197098 : Epoch  8, Batch   2959, Loss  0.871321, Average Loss  0.866206, Time  0.452537
2021-09-10 04:02:20.989774 : Epoch  8, Batch   2960, Loss  0.881392, Average Loss  0.866079, Time  0.363851
2021-09-10 04:02:22.752888 : Epoch  8, Batch   2961, Loss  0.834021, Average Loss  0.866033, Time  0.358011
2021-09-10 04:02:24.543036 : Epoch  8, Batch   2962, Loss  0.844774, Average Loss  0.866052, Time  0.375642
2021-09-10 04:02:26.409787 : Epoch  8, Batch   2963, Loss  0.867606, Average Loss  0.866165, Time  0.452829
2021-09-10 04:02:28.207053 : Epoch  8, Batch   2964, Loss  0.839838, Average Loss  0.866033, Time  0.341839
2021-09-10 04:02:29.973778 : Epoch  8, Batch   2965, Loss  0.873729, Average Loss  0.866070, Time  0.358869
2021-09-10 04:02:31.759104 : Epoch  8, Batch   2966, Loss  0.859973, Average Loss  0.865982, Time  0.360255
2021-09-10 04:02:33.667880 : Epoch  8, Batch   2967, Loss  0.855264, Average Loss  0.865884, Time  0.465773
2021-09-10 04:02:35.525507 : Epoch  8, Batch   2968, Loss  0.856707, Average Loss  0.865880, Time  0.415621
2021-09-10 04:02:37.316107 : Epoch  8, Batch   2969, Loss  0.864678, Average Loss  0.865964, Time  0.362118
2021-09-10 04:02:39.108774 : Epoch  8, Batch   2970, Loss  0.861550, Average Loss  0.866002, Time  0.357223
2021-09-10 04:02:40.967121 : Epoch  8, Batch   2971, Loss  0.868242, Average Loss  0.866074, Time  0.434012
2021-09-10 04:02:42.840777 : Epoch  8, Batch   2972, Loss  0.826276, Average Loss  0.865962, Time  0.468506
2021-09-10 04:02:44.638777 : Epoch  8, Batch   2973, Loss  0.861022, Average Loss  0.865855, Time  0.356786
2021-09-10 04:02:46.444776 : Epoch  8, Batch   2974, Loss  0.856815, Average Loss  0.865949, Time  0.373606
2021-09-10 04:02:48.242103 : Epoch  8, Batch   2975, Loss  0.895725, Average Loss  0.866139, Time  0.384895
2021-09-10 04:02:50.099817 : Epoch  8, Batch   2976, Loss  0.878164, Average Loss  0.866090, Time  0.460963
2021-09-10 04:02:51.851603 : Epoch  8, Batch   2977, Loss  0.886588, Average Loss  0.866167, Time  0.357670
2021-09-10 04:02:53.622775 : Epoch  8, Batch   2978, Loss  0.844764, Average Loss  0.866093, Time  0.361284
2021-09-10 04:02:55.451849 : Epoch  8, Batch   2979, Loss  0.899014, Average Loss  0.866390, Time  0.396592
2021-09-10 04:02:57.362782 : Epoch  8, Batch   2980, Loss  0.915557, Average Loss  0.866568, Time  0.463284
2021-09-10 04:02:59.178808 : Epoch  8, Batch   2981, Loss  0.852084, Average Loss  0.866566, Time  0.380980
2021-09-10 04:03:00.977792 : Epoch  8, Batch   2982, Loss  0.856105, Average Loss  0.866441, Time  0.376503
2021-09-10 04:03:02.759773 : Epoch  8, Batch   2983, Loss  0.848673, Average Loss  0.866320, Time  0.363644
2021-09-10 04:03:04.627779 : Epoch  8, Batch   2984, Loss  0.885112, Average Loss  0.866439, Time  0.454257
2021-09-10 04:03:06.493788 : Epoch  8, Batch   2985, Loss  0.855680, Average Loss  0.866389, Time  0.451836
2021-09-10 04:03:08.266773 : Epoch  8, Batch   2986, Loss  0.869282, Average Loss  0.866487, Time  0.356466
2021-09-10 04:03:10.033772 : Epoch  8, Batch   2987, Loss  0.852909, Average Loss  0.866487, Time  0.372500
2021-09-10 04:03:11.888776 : Epoch  8, Batch   2988, Loss  0.893193, Average Loss  0.866549, Time  0.407724
2021-09-10 04:03:13.854775 : Epoch  8, Batch   2989, Loss  0.882680, Average Loss  0.866633, Time  0.461001
2021-09-10 04:03:15.702773 : Epoch  8, Batch   2990, Loss  0.884856, Average Loss  0.866661, Time  0.417288
2021-09-10 04:03:17.485914 : Epoch  8, Batch   2991, Loss  0.884002, Average Loss  0.866764, Time  0.361198
2021-09-10 04:03:19.265772 : Epoch  8, Batch   2992, Loss  0.884228, Average Loss  0.866707, Time  0.363892
2021-09-10 04:03:21.124780 : Epoch  8, Batch   2993, Loss  0.855004, Average Loss  0.866761, Time  0.449012
2021-09-10 04:03:23.018770 : Epoch  8, Batch   2994, Loss  0.858674, Average Loss  0.866799, Time  0.453713
2021-09-10 04:03:24.783941 : Epoch  8, Batch   2995, Loss  0.842573, Average Loss  0.866733, Time  0.366800
2021-09-10 04:03:26.568092 : Epoch  8, Batch   2996, Loss  0.847628, Average Loss  0.866641, Time  0.366881
2021-09-10 04:03:28.360108 : Epoch  8, Batch   2997, Loss  0.851587, Average Loss  0.866445, Time  0.400051
2021-09-10 04:03:30.244975 : Epoch  8, Batch   2998, Loss  0.860384, Average Loss  0.866468, Time  0.455292
2021-09-10 04:03:32.029773 : Epoch  8, Batch   2999, Loss  0.861588, Average Loss  0.866452, Time  0.357643
2021-09-10 04:03:33.824955 : Epoch  8, Batch   3000, Loss  0.869496, Average Loss  0.866653, Time  0.366266
2021-09-10 04:03:35.630032 : Epoch  8, Batch   3001, Loss  0.859102, Average Loss  0.866649, Time  0.385251
2021-09-10 04:03:37.507806 : Epoch  8, Batch   3002, Loss  0.863884, Average Loss  0.866604, Time  0.460040
2021-09-10 04:03:39.278763 : Epoch  8, Batch   3003, Loss  0.890654, Average Loss  0.866521, Time  0.370000
2021-09-10 04:03:41.045781 : Epoch  8, Batch   3004, Loss  0.880094, Average Loss  0.866474, Time  0.363220
2021-09-10 04:03:42.860818 : Epoch  8, Batch   3005, Loss  0.877980, Average Loss  0.866654, Time  0.389256
2021-09-10 04:03:44.727889 : Epoch  8, Batch   3006, Loss  0.886879, Average Loss  0.866831, Time  0.455863
2021-09-10 04:03:46.528815 : Epoch  8, Batch   3007, Loss  0.881615, Average Loss  0.866981, Time  0.363051
2021-09-10 04:03:48.315778 : Epoch  8, Batch   3008, Loss  0.854796, Average Loss  0.866720, Time  0.359473
2021-09-10 04:03:50.120948 : Epoch  8, Batch   3009, Loss  0.870440, Average Loss  0.866726, Time  0.387009
2021-09-10 04:03:51.983772 : Epoch  8, Batch   3010, Loss  0.884547, Average Loss  0.866756, Time  0.454455
2021-09-10 04:03:53.760841 : Epoch  8, Batch   3011, Loss  0.859472, Average Loss  0.866809, Time  0.366108
2021-09-10 04:03:55.552813 : Epoch  8, Batch   3012, Loss  0.894216, Average Loss  0.867006, Time  0.363791
2021-09-10 04:03:57.368857 : Epoch  8, Batch   3013, Loss  0.857381, Average Loss  0.866982, Time  0.397413
2021-09-10 04:03:59.264772 : Epoch  8, Batch   3014, Loss  0.826460, Average Loss  0.866869, Time  0.461417
2021-09-10 04:04:01.101493 : Epoch  8, Batch   3015, Loss  0.874408, Average Loss  0.866939, Time  0.386551
2021-09-10 04:04:02.886097 : Epoch  8, Batch   3016, Loss  0.854195, Average Loss  0.866935, Time  0.361681
2021-09-10 04:04:04.670775 : Epoch  8, Batch   3017, Loss  0.869861, Average Loss  0.867054, Time  0.361062
2021-09-10 04:04:06.575763 : Epoch  8, Batch   3018, Loss  0.854854, Average Loss  0.866994, Time  0.454399
2021-09-10 04:04:08.431776 : Epoch  8, Batch   3019, Loss  0.848828, Average Loss  0.866749, Time  0.446915
2021-09-10 04:04:10.231772 : Epoch  8, Batch   3020, Loss  0.843718, Average Loss  0.866600, Time  0.372791
2021-09-10 04:04:11.992765 : Epoch  8, Batch   3021, Loss  0.859253, Average Loss  0.866635, Time  0.362265
2021-09-10 04:04:13.840767 : Epoch  8, Batch   3022, Loss  0.860861, Average Loss  0.866385, Time  0.418575
2021-09-10 04:04:21.239051 : Epoch  8, Batch   3023, Loss  0.879594, Average Loss  0.866359, Time  0.375984
2021-09-10 04:09:10.883721 : CheckPoint: Validation Loss  0.00061922, Best Loss  0.00056427
2021-09-10 04:09:12.666781 : Epoch  8, Batch   3024, Loss  0.859059, Average Loss  0.866377, Time  0.360739
2021-09-10 04:09:14.444777 : Epoch  8, Batch   3025, Loss  0.863956, Average Loss  0.866416, Time  0.358370
2021-09-10 04:09:16.257761 : Epoch  8, Batch   3026, Loss  0.875118, Average Loss  0.866358, Time  0.399138
2021-09-10 04:09:18.119796 : Epoch  8, Batch   3027, Loss  0.889311, Average Loss  0.866579, Time  0.452543
2021-09-10 04:09:19.893710 : Epoch  8, Batch   3028, Loss  0.848747, Average Loss  0.866502, Time  0.368120
2021-09-10 04:09:21.662984 : Epoch  8, Batch   3029, Loss  0.889770, Average Loss  0.866607, Time  0.355301
2021-09-10 04:09:23.482498 : Epoch  8, Batch   3030, Loss  0.883635, Average Loss  0.866465, Time  0.402143
2021-09-10 04:09:25.338777 : Epoch  8, Batch   3031, Loss  0.872328, Average Loss  0.866428, Time  0.454360
2021-09-10 04:09:27.104822 : Epoch  8, Batch   3032, Loss  0.860486, Average Loss  0.866373, Time  0.358368
2021-09-10 04:09:28.869736 : Epoch  8, Batch   3033, Loss  0.897726, Average Loss  0.866494, Time  0.356504
2021-09-10 04:09:30.683777 : Epoch  8, Batch   3034, Loss  0.864321, Average Loss  0.866369, Time  0.411741
2021-09-10 04:09:32.572927 : Epoch  8, Batch   3035, Loss  0.852703, Average Loss  0.866343, Time  0.451634
2021-09-10 04:09:34.368830 : Epoch  8, Batch   3036, Loss  0.899167, Average Loss  0.866568, Time  0.362631
2021-09-10 04:09:36.148115 : Epoch  8, Batch   3037, Loss  0.841359, Average Loss  0.866415, Time  0.363942
2021-09-10 04:09:37.929772 : Epoch  8, Batch   3038, Loss  0.885642, Average Loss  0.866577, Time  0.376958
2021-09-10 04:09:39.803112 : Epoch  8, Batch   3039, Loss  0.855583, Average Loss  0.866544, Time  0.466190
2021-09-10 04:09:41.606774 : Epoch  8, Batch   3040, Loss  0.853442, Average Loss  0.866566, Time  0.357498
2021-09-10 04:09:43.393763 : Epoch  8, Batch   3041, Loss  0.856377, Average Loss  0.866422, Time  0.358042
2021-09-10 04:09:45.198778 : Epoch  8, Batch   3042, Loss  0.885750, Average Loss  0.866649, Time  0.373485
2021-09-10 04:09:47.077776 : Epoch  8, Batch   3043, Loss  0.880090, Average Loss  0.866673, Time  0.452169
2021-09-10 04:09:48.863230 : Epoch  8, Batch   3044, Loss  0.869768, Average Loss  0.866646, Time  0.372527
2021-09-10 04:09:50.641779 : Epoch  8, Batch   3045, Loss  0.877814, Average Loss  0.866654, Time  0.362895
2021-09-10 04:09:52.459810 : Epoch  8, Batch   3046, Loss  0.882809, Average Loss  0.866674, Time  0.384347
2021-09-10 04:09:54.341768 : Epoch  8, Batch   3047, Loss  0.871744, Average Loss  0.866852, Time  0.463822
2021-09-10 04:09:56.129770 : Epoch  8, Batch   3048, Loss  0.898719, Average Loss  0.866890, Time  0.346493
2021-09-10 04:09:57.923765 : Epoch  8, Batch   3049, Loss  0.863301, Average Loss  0.866893, Time  0.367970
2021-09-10 04:09:59.690770 : Epoch  8, Batch   3050, Loss  0.888967, Average Loss  0.866997, Time  0.356416
2021-09-10 04:10:01.558928 : Epoch  8, Batch   3051, Loss  0.848443, Average Loss  0.867038, Time  0.459426
2021-09-10 04:10:03.345845 : Epoch  8, Batch   3052, Loss  0.890273, Average Loss  0.867158, Time  0.373868
2021-09-10 04:10:05.139805 : Epoch  8, Batch   3053, Loss  0.883708, Average Loss  0.867218, Time  0.359064
2021-09-10 04:10:06.970917 : Epoch  8, Batch   3054, Loss  0.857979, Average Loss  0.867183, Time  0.390862
2021-09-10 04:10:08.849794 : Epoch  8, Batch   3055, Loss  0.855197, Average Loss  0.867220, Time  0.448734
2021-09-10 04:10:10.749948 : Epoch  8, Batch   3056, Loss  0.859251, Average Loss  0.867066, Time  0.447819
2021-09-10 04:10:12.561178 : Epoch  8, Batch   3057, Loss  0.849314, Average Loss  0.866920, Time  0.357018
2021-09-10 04:10:14.357820 : Epoch  8, Batch   3058, Loss  0.878161, Average Loss  0.867003, Time  0.358746
2021-09-10 04:10:16.186836 : Epoch  8, Batch   3059, Loss  0.887592, Average Loss  0.867173, Time  0.380432
2021-09-10 04:10:18.091767 : Epoch  8, Batch   3060, Loss  0.854714, Average Loss  0.867113, Time  0.463691
2021-09-10 04:10:19.863011 : Epoch  8, Batch   3061, Loss  0.856466, Average Loss  0.867152, Time  0.357198
2021-09-10 04:10:21.642778 : Epoch  8, Batch   3062, Loss  0.882457, Average Loss  0.867377, Time  0.358955
2021-09-10 04:10:23.468798 : Epoch  8, Batch   3063, Loss  0.872150, Average Loss  0.867432, Time  0.372922
2021-09-10 04:10:25.379781 : Epoch  8, Batch   3064, Loss  0.912647, Average Loss  0.867702, Time  0.456477
2021-09-10 04:10:27.255762 : Epoch  8, Batch   3065, Loss  0.855449, Average Loss  0.867610, Time  0.418700
2021-09-10 04:10:29.045096 : Epoch  8, Batch   3066, Loss  0.865837, Average Loss  0.867653, Time  0.363449
2021-09-10 04:10:30.824226 : Epoch  8, Batch   3067, Loss  0.887124, Average Loss  0.867676, Time  0.356201
2021-09-10 04:10:32.685890 : Epoch  8, Batch   3068, Loss  0.850762, Average Loss  0.867627, Time  0.428535
2021-09-10 04:10:34.593908 : Epoch  8, Batch   3069, Loss  0.850216, Average Loss  0.867427, Time  0.464174
2021-09-10 04:10:36.367913 : Epoch  8, Batch   3070, Loss  0.892430, Average Loss  0.867492, Time  0.357816
2021-09-10 04:10:38.139161 : Epoch  8, Batch   3071, Loss  0.887784, Average Loss  0.867793, Time  0.356918
2021-09-10 04:10:39.942877 : Epoch  8, Batch   3072, Loss  0.849243, Average Loss  0.867753, Time  0.381795
2021-09-10 04:10:41.825495 : Epoch  8, Batch   3073, Loss  0.879093, Average Loss  0.867673, Time  0.456256
2021-09-10 04:10:43.598409 : Epoch  8, Batch   3074, Loss  0.887105, Average Loss  0.867737, Time  0.362347
2021-09-10 04:10:45.385121 : Epoch  8, Batch   3075, Loss  0.866076, Average Loss  0.867751, Time  0.356584
2021-09-10 04:10:47.220863 : Epoch  8, Batch   3076, Loss  0.873716, Average Loss  0.867809, Time  0.382117
2021-09-10 04:10:49.120782 : Epoch  8, Batch   3077, Loss  0.865348, Average Loss  0.867836, Time  0.450236
2021-09-10 04:10:50.907786 : Epoch  8, Batch   3078, Loss  0.859017, Average Loss  0.867857, Time  0.359012
2021-09-10 04:10:52.732084 : Epoch  8, Batch   3079, Loss  0.883418, Average Loss  0.867827, Time  0.358616
2021-09-10 04:10:54.543178 : Epoch  8, Batch   3080, Loss  0.830390, Average Loss  0.867651, Time  0.363125
2021-09-10 04:10:56.439783 : Epoch  8, Batch   3081, Loss  0.899479, Average Loss  0.867877, Time  0.452055
2021-09-10 04:10:58.219774 : Epoch  8, Batch   3082, Loss  0.890126, Average Loss  0.867971, Time  0.356475
2021-09-10 04:11:00.019079 : Epoch  8, Batch   3083, Loss  0.873122, Average Loss  0.868109, Time  0.357649
2021-09-10 04:11:01.821787 : Epoch  8, Batch   3084, Loss  0.872540, Average Loss  0.868119, Time  0.359131
2021-09-10 04:11:03.701816 : Epoch  8, Batch   3085, Loss  0.878363, Average Loss  0.868163, Time  0.454882
2021-09-10 04:11:05.485802 : Epoch  8, Batch   3086, Loss  0.896578, Average Loss  0.868351, Time  0.355424
2021-09-10 04:11:07.285772 : Epoch  8, Batch   3087, Loss  0.859178, Average Loss  0.868301, Time  0.357467
2021-09-10 04:11:09.090809 : Epoch  8, Batch   3088, Loss  0.871375, Average Loss  0.868324, Time  0.367157
2021-09-10 04:11:10.977108 : Epoch  8, Batch   3089, Loss  0.872996, Average Loss  0.868278, Time  0.472140
2021-09-10 04:11:12.757834 : Epoch  8, Batch   3090, Loss  0.893542, Average Loss  0.868387, Time  0.355547
2021-09-10 04:11:14.528777 : Epoch  8, Batch   3091, Loss  0.906933, Average Loss  0.868496, Time  0.357445
2021-09-10 04:11:16.348163 : Epoch  8, Batch   3092, Loss  0.886288, Average Loss  0.868637, Time  0.377888
2021-09-10 04:11:18.260781 : Epoch  8, Batch   3093, Loss  0.874348, Average Loss  0.868658, Time  0.453774
2021-09-10 04:11:20.078865 : Epoch  8, Batch   3094, Loss  0.872324, Average Loss  0.868731, Time  0.372855
2021-09-10 04:11:21.902788 : Epoch  8, Batch   3095, Loss  0.859178, Average Loss  0.868754, Time  0.358785
2021-09-10 04:11:23.711798 : Epoch  8, Batch   3096, Loss  0.876983, Average Loss  0.868833, Time  0.357233
2021-09-10 04:11:25.613078 : Epoch  8, Batch   3097, Loss  0.863225, Average Loss  0.868867, Time  0.444810
2021-09-10 04:11:27.514822 : Epoch  8, Batch   3098, Loss  0.865276, Average Loss  0.868848, Time  0.449487
2021-09-10 04:11:29.319772 : Epoch  8, Batch   3099, Loss  0.847278, Average Loss  0.868807, Time  0.356500
2021-09-10 04:11:31.121070 : Epoch  8, Batch   3100, Loss  0.854922, Average Loss  0.868683, Time  0.356280
2021-09-10 04:11:32.922081 : Epoch  8, Batch   3101, Loss  0.890785, Average Loss  0.868941, Time  0.364407
2021-09-10 04:11:34.809766 : Epoch  8, Batch   3102, Loss  0.854941, Average Loss  0.868792, Time  0.450851
2021-09-10 04:11:36.604886 : Epoch  8, Batch   3103, Loss  0.861175, Average Loss  0.868695, Time  0.356147
2021-09-10 04:11:38.408785 : Epoch  8, Batch   3104, Loss  0.852692, Average Loss  0.868761, Time  0.358125
2021-09-10 04:11:40.174111 : Epoch  8, Batch   3105, Loss  0.866327, Average Loss  0.868754, Time  0.370620
2021-09-10 04:11:42.054873 : Epoch  8, Batch   3106, Loss  0.861005, Average Loss  0.868873, Time  0.453909
2021-09-10 04:11:43.841179 : Epoch  8, Batch   3107, Loss  0.847014, Average Loss  0.868827, Time  0.356700
2021-09-10 04:11:45.651090 : Epoch  8, Batch   3108, Loss  0.856858, Average Loss  0.868816, Time  0.358084
2021-09-10 04:11:47.462815 : Epoch  8, Batch   3109, Loss  0.886551, Average Loss  0.868812, Time  0.370659
2021-09-10 04:11:49.368788 : Epoch  8, Batch   3110, Loss  0.844722, Average Loss  0.868700, Time  0.454328
2021-09-10 04:11:51.148871 : Epoch  8, Batch   3111, Loss  0.851483, Average Loss  0.868750, Time  0.336472
2021-09-10 04:11:52.946828 : Epoch  8, Batch   3112, Loss  0.869692, Average Loss  0.868671, Time  0.356850
2021-09-10 04:11:54.741766 : Epoch  8, Batch   3113, Loss  0.882054, Average Loss  0.868808, Time  0.356270
2021-09-10 04:11:56.640963 : Epoch  8, Batch   3114, Loss  0.897093, Average Loss  0.868951, Time  0.451783
2021-09-10 04:11:58.463956 : Epoch  8, Batch   3115, Loss  0.871928, Average Loss  0.869047, Time  0.369615
2021-09-10 04:12:00.244851 : Epoch  8, Batch   3116, Loss  0.865375, Average Loss  0.869040, Time  0.357462
2021-09-10 04:12:02.021889 : Epoch  8, Batch   3117, Loss  0.851586, Average Loss  0.868963, Time  0.364061
2021-09-10 04:12:03.903846 : Epoch  8, Batch   3118, Loss  0.875122, Average Loss  0.869089, Time  0.453714
2021-09-10 04:12:05.804180 : Epoch  8, Batch   3119, Loss  0.884172, Average Loss  0.869108, Time  0.449878
2021-09-10 04:12:07.615983 : Epoch  8, Batch   3120, Loss  0.881351, Average Loss  0.869160, Time  0.358676
2021-09-10 04:12:09.423889 : Epoch  8, Batch   3121, Loss  0.855729, Average Loss  0.868995, Time  0.356536
2021-09-10 04:12:11.270765 : Epoch  8, Batch   3122, Loss  0.850342, Average Loss  0.868862, Time  0.387315
2021-09-10 04:12:13.190182 : Epoch  8, Batch   3123, Loss  0.869220, Average Loss  0.868959, Time  0.451193
2021-09-10 04:17:03.472769 : CheckPoint: Validation Loss  0.00057356, Best Loss  0.00056427
2021-09-10 04:17:05.292780 : Epoch  8, Batch   3124, Loss  0.836960, Average Loss  0.868621, Time  0.400555
2021-09-10 04:17:07.173780 : Epoch  8, Batch   3125, Loss  0.893357, Average Loss  0.868619, Time  0.447762
2021-09-10 04:17:09.035894 : Epoch  8, Batch   3126, Loss  0.836263, Average Loss  0.868407, Time  0.447814
2021-09-10 04:17:10.829779 : Epoch  8, Batch   3127, Loss  0.876050, Average Loss  0.868492, Time  0.356139
2021-09-10 04:17:12.605983 : Epoch  8, Batch   3128, Loss  0.895424, Average Loss  0.868639, Time  0.357807
2021-09-10 04:17:14.439772 : Epoch  8, Batch   3129, Loss  0.893525, Average Loss  0.868823, Time  0.403044
2021-09-10 04:17:16.328887 : Epoch  8, Batch   3130, Loss  0.860445, Average Loss  0.868901, Time  0.454029
2021-09-10 04:17:18.231776 : Epoch  8, Batch   3131, Loss  0.864985, Average Loss  0.868937, Time  0.419079
2021-09-10 04:17:20.021060 : Epoch  8, Batch   3132, Loss  0.872918, Average Loss  0.868921, Time  0.356078
2021-09-10 04:17:21.829763 : Epoch  8, Batch   3133, Loss  0.859405, Average Loss  0.868913, Time  0.357325
2021-09-10 04:17:23.698857 : Epoch  8, Batch   3134, Loss  0.823726, Average Loss  0.868566, Time  0.409274
2021-09-10 04:17:25.566833 : Epoch  8, Batch   3135, Loss  0.844104, Average Loss  0.868412, Time  0.448226
2021-09-10 04:17:27.329148 : Epoch  8, Batch   3136, Loss  0.877535, Average Loss  0.868481, Time  0.360139
2021-09-10 04:17:29.098781 : Epoch  8, Batch   3137, Loss  0.868911, Average Loss  0.868561, Time  0.357235
2021-09-10 04:17:30.938837 : Epoch  8, Batch   3138, Loss  0.870444, Average Loss  0.868446, Time  0.389679
2021-09-10 04:17:32.824761 : Epoch  8, Batch   3139, Loss  0.856168, Average Loss  0.868231, Time  0.461888
2021-09-10 04:17:34.710829 : Epoch  8, Batch   3140, Loss  0.862742, Average Loss  0.868122, Time  0.415948
2021-09-10 04:17:36.486516 : Epoch  8, Batch   3141, Loss  0.853832, Average Loss  0.868111, Time  0.357205
2021-09-10 04:17:38.257940 : Epoch  8, Batch   3142, Loss  0.859383, Average Loss  0.868016, Time  0.357929
2021-09-10 04:17:40.111774 : Epoch  8, Batch   3143, Loss  0.894482, Average Loss  0.868321, Time  0.441671
2021-09-10 04:17:41.993901 : Epoch  8, Batch   3144, Loss  0.848230, Average Loss  0.868121, Time  0.449224
2021-09-10 04:17:43.777773 : Epoch  8, Batch   3145, Loss  0.878142, Average Loss  0.868299, Time  0.354977
2021-09-10 04:17:45.593809 : Epoch  8, Batch   3146, Loss  0.848388, Average Loss  0.868087, Time  0.358008
2021-09-10 04:17:47.382161 : Epoch  8, Batch   3147, Loss  0.851943, Average Loss  0.868021, Time  0.384097
2021-09-10 04:17:49.265842 : Epoch  8, Batch   3148, Loss  0.870276, Average Loss  0.867992, Time  0.460112
2021-09-10 04:17:51.040059 : Epoch  8, Batch   3149, Loss  0.858868, Average Loss  0.868054, Time  0.364468
2021-09-10 04:17:52.821854 : Epoch  8, Batch   3150, Loss  0.849655, Average Loss  0.867934, Time  0.358833
2021-09-10 04:17:54.632782 : Epoch  8, Batch   3151, Loss  0.869808, Average Loss  0.867860, Time  0.363085
2021-09-10 04:17:56.526006 : Epoch  8, Batch   3152, Loss  0.850953, Average Loss  0.867802, Time  0.453036
2021-09-10 04:17:58.284914 : Epoch  8, Batch   3153, Loss  0.889498, Average Loss  0.867962, Time  0.345707
2021-09-10 04:18:00.061955 : Epoch  8, Batch   3154, Loss  0.849664, Average Loss  0.867774, Time  0.363416
2021-09-10 04:18:01.837782 : Epoch  8, Batch   3155, Loss  0.880714, Average Loss  0.867930, Time  0.359069
2021-09-10 04:18:03.790897 : Epoch  8, Batch   3156, Loss  0.862454, Average Loss  0.868054, Time  0.451065
2021-09-10 04:18:05.645779 : Epoch  8, Batch   3157, Loss  0.860847, Average Loss  0.868006, Time  0.428173
2021-09-10 04:18:07.445783 : Epoch  8, Batch   3158, Loss  0.846966, Average Loss  0.867846, Time  0.359538
2021-09-10 04:18:09.245063 : Epoch  8, Batch   3159, Loss  0.856474, Average Loss  0.867772, Time  0.358212
2021-09-10 04:18:11.088780 : Epoch  8, Batch   3160, Loss  0.874400, Average Loss  0.867737, Time  0.418218
2021-09-10 04:18:12.980782 : Epoch  8, Batch   3161, Loss  0.855417, Average Loss  0.867844, Time  0.450606
2021-09-10 04:18:14.749877 : Epoch  8, Batch   3162, Loss  0.871166, Average Loss  0.867976, Time  0.355759
2021-09-10 04:18:16.534108 : Epoch  8, Batch   3163, Loss  0.880520, Average Loss  0.868041, Time  0.359907
2021-09-10 04:18:18.328035 : Epoch  8, Batch   3164, Loss  0.856973, Average Loss  0.868126, Time  0.386601
2021-09-10 04:18:20.230093 : Epoch  8, Batch   3165, Loss  0.879363, Average Loss  0.868154, Time  0.455488
2021-09-10 04:18:22.000229 : Epoch  8, Batch   3166, Loss  0.875458, Average Loss  0.868232, Time  0.338720
2021-09-10 04:18:23.753233 : Epoch  8, Batch   3167, Loss  0.849392, Average Loss  0.868202, Time  0.356987
2021-09-10 04:18:25.524240 : Epoch  8, Batch   3168, Loss  0.876889, Average Loss  0.868303, Time  0.359803
2021-09-10 04:18:27.419777 : Epoch  8, Batch   3169, Loss  0.844370, Average Loss  0.868202, Time  0.451931
2021-09-10 04:18:29.204935 : Epoch  8, Batch   3170, Loss  0.864009, Average Loss  0.868214, Time  0.357007
2021-09-10 04:18:30.985773 : Epoch  8, Batch   3171, Loss  0.826619, Average Loss  0.868006, Time  0.363263
2021-09-10 04:18:32.759220 : Epoch  8, Batch   3172, Loss  0.882020, Average Loss  0.868285, Time  0.376634
2021-09-10 04:18:34.631062 : Epoch  8, Batch   3173, Loss  0.857300, Average Loss  0.868266, Time  0.448805
2021-09-10 04:18:36.400890 : Epoch  8, Batch   3174, Loss  0.868630, Average Loss  0.868325, Time  0.358877
2021-09-10 04:18:38.178121 : Epoch  8, Batch   3175, Loss  0.875606, Average Loss  0.868225, Time  0.371405
2021-09-10 04:18:40.005827 : Epoch  8, Batch   3176, Loss  0.858572, Average Loss  0.868127, Time  0.411374
2021-09-10 04:18:41.902825 : Epoch  8, Batch   3177, Loss  0.867472, Average Loss  0.868031, Time  0.455220
2021-09-10 04:18:43.707869 : Epoch  8, Batch   3178, Loss  0.856194, Average Loss  0.868088, Time  0.356170
2021-09-10 04:18:45.494846 : Epoch  8, Batch   3179, Loss  0.871491, Average Loss  0.867951, Time  0.355770
2021-09-10 04:18:47.321899 : Epoch  8, Batch   3180, Loss  0.855503, Average Loss  0.867650, Time  0.380465
2021-09-10 04:18:49.206085 : Epoch  8, Batch   3181, Loss  0.840846, Average Loss  0.867594, Time  0.451519
2021-09-10 04:18:51.002800 : Epoch  8, Batch   3182, Loss  0.888691, Average Loss  0.867757, Time  0.355538
2021-09-10 04:18:52.781067 : Epoch  8, Batch   3183, Loss  0.872530, Average Loss  0.867876, Time  0.358313
2021-09-10 04:18:54.572185 : Epoch  8, Batch   3184, Loss  0.868856, Average Loss  0.867795, Time  0.372716
2021-09-10 04:18:56.441829 : Epoch  8, Batch   3185, Loss  0.871052, Average Loss  0.867872, Time  0.475872
2021-09-10 04:18:58.154823 : Epoch  8, Batch   3186, Loss  0.855903, Average Loss  0.867805, Time  0.296227
2021-09-10 04:18:59.903050 : Epoch  8, Batch   3187, Loss  0.841223, Average Loss  0.867747, Time  0.294733
2021-09-10 04:19:01.644767 : Epoch  8, Batch   3188, Loss  0.893774, Average Loss  0.867749, Time  0.295239
2021-09-10 04:19:03.364776 : Epoch  8, Batch   3189, Loss  0.848085, Average Loss  0.867576, Time  0.294919
2021-09-10 04:19:05.068804 : Epoch  8, Batch   3190, Loss  0.865044, Average Loss  0.867477, Time  0.302307
2021-09-10 04:19:06.828258 : Epoch  8, Batch   3191, Loss  0.879006, Average Loss  0.867452, Time  0.312283
2021-09-10 04:19:08.712856 : Epoch  8, Batch   3192, Loss  0.871588, Average Loss  0.867389, Time  0.453023
2021-09-10 04:19:10.584852 : Epoch  8, Batch   3193, Loss  0.865525, Average Loss  0.867442, Time  0.446911
2021-09-10 04:19:12.388950 : Epoch  8, Batch   3194, Loss  0.870652, Average Loss  0.867502, Time  0.361284
2021-09-10 04:19:14.184812 : Epoch  8, Batch   3195, Loss  0.835219, Average Loss  0.867465, Time  0.356572
2021-09-10 04:19:16.034764 : Epoch  8, Batch   3196, Loss  0.840488, Average Loss  0.867429, Time  0.398247
2021-09-10 04:19:17.940177 : Epoch  8, Batch   3197, Loss  0.849090, Average Loss  0.867417, Time  0.453951
2021-09-10 04:19:19.739808 : Epoch  8, Batch   3198, Loss  0.851292, Average Loss  0.867371, Time  0.346825
2021-09-10 04:19:21.525941 : Epoch  8, Batch   3199, Loss  0.838502, Average Loss  0.867256, Time  0.357528
2021-09-10 04:19:23.217763 : Epoch  8, Batch   3200, Loss  0.855224, Average Loss  0.867185, Time  0.341452
2021-09-10 04:19:25.114069 : Epoch  8, Batch   3201, Loss  0.869153, Average Loss  0.867235, Time  0.450118
2021-09-10 04:19:26.916764 : Epoch  8, Batch   3202, Loss  0.892980, Average Loss  0.867380, Time  0.370769
2021-09-10 04:19:28.717784 : Epoch  8, Batch   3203, Loss  0.873347, Average Loss  0.867294, Time  0.357562
2021-09-10 04:19:30.517922 : Epoch  8, Batch   3204, Loss  0.875172, Average Loss  0.867269, Time  0.358959
2021-09-10 04:19:32.412085 : Epoch  8, Batch   3205, Loss  0.846151, Average Loss  0.867110, Time  0.447121
2021-09-10 04:19:34.290177 : Epoch  8, Batch   3206, Loss  0.867790, Average Loss  0.867015, Time  0.446569
2021-09-10 04:19:36.081881 : Epoch  8, Batch   3207, Loss  0.826184, Average Loss  0.866737, Time  0.356577
2021-09-10 04:19:37.879825 : Epoch  8, Batch   3208, Loss  0.889038, Average Loss  0.866909, Time  0.355220
2021-09-10 04:19:39.697843 : Epoch  8, Batch   3209, Loss  0.862531, Average Loss  0.866869, Time  0.414845
2021-09-10 04:19:41.565741 : Epoch  8, Batch   3210, Loss  0.841076, Average Loss  0.866652, Time  0.457147
2021-09-10 04:19:43.326762 : Epoch  8, Batch   3211, Loss  0.856683, Average Loss  0.866638, Time  0.357711
2021-09-10 04:19:45.094821 : Epoch  8, Batch   3212, Loss  0.835424, Average Loss  0.866344, Time  0.361815
2021-09-10 04:19:46.905772 : Epoch  8, Batch   3213, Loss  0.857611, Average Loss  0.866345, Time  0.415594
2021-09-10 04:19:48.803861 : Epoch  8, Batch   3214, Loss  0.853474, Average Loss  0.866480, Time  0.456579
2021-09-10 04:19:50.595791 : Epoch  8, Batch   3215, Loss  0.896692, Average Loss  0.866591, Time  0.364763
2021-09-10 04:19:52.383463 : Epoch  8, Batch   3216, Loss  0.861843, Average Loss  0.866630, Time  0.359405
2021-09-10 04:19:54.150780 : Epoch  8, Batch   3217, Loss  0.866367, Average Loss  0.866612, Time  0.365903
2021-09-10 04:19:56.027236 : Epoch  8, Batch   3218, Loss  0.843236, Average Loss  0.866554, Time  0.466167
2021-09-10 04:19:57.796761 : Epoch  8, Batch   3219, Loss  0.897293, Average Loss  0.866796, Time  0.358513
2021-09-10 04:19:59.582966 : Epoch  8, Batch   3220, Loss  0.889829, Average Loss  0.867027, Time  0.355613
2021-09-10 04:20:01.382774 : Epoch  8, Batch   3221, Loss  0.886358, Average Loss  0.867163, Time  0.395401
2021-09-10 04:20:03.288964 : Epoch  8, Batch   3222, Loss  0.862593, Average Loss  0.867171, Time  0.469713
2021-09-10 04:20:05.061228 : Epoch  8, Batch   3223, Loss  0.844481, Average Loss  0.866996, Time  0.343665
2021-09-10 04:24:55.693706 : CheckPoint: Validation Loss  0.00061908, Best Loss  0.00056427
2021-09-10 04:24:57.494813 : Epoch  8, Batch   3224, Loss  0.866288, Average Loss  0.867032, Time  0.364579
2021-09-10 04:24:59.312762 : Epoch  8, Batch   3225, Loss  0.868526, Average Loss  0.867055, Time  0.402012
2021-09-10 04:25:01.175764 : Epoch  8, Batch   3226, Loss  0.869207, Average Loss  0.867025, Time  0.424830
2021-09-10 04:25:02.969761 : Epoch  8, Batch   3227, Loss  0.827343, Average Loss  0.866715, Time  0.365531
2021-09-10 04:25:04.763269 : Epoch  8, Batch   3228, Loss  0.882599, Average Loss  0.866884, Time  0.356006
2021-09-10 04:25:06.653785 : Epoch  8, Batch   3229, Loss  0.851667, Average Loss  0.866694, Time  0.462480
2021-09-10 04:25:08.526793 : Epoch  8, Batch   3230, Loss  0.855771, Average Loss  0.866555, Time  0.430415
2021-09-10 04:25:10.298296 : Epoch  8, Batch   3231, Loss  0.856662, Average Loss  0.866476, Time  0.361066
2021-09-10 04:25:12.049481 : Epoch  8, Batch   3232, Loss  0.868169, Average Loss  0.866515, Time  0.357395
2021-09-10 04:25:13.926073 : Epoch  8, Batch   3233, Loss  0.857083, Average Loss  0.866311, Time  0.458947
2021-09-10 04:25:15.802797 : Epoch  8, Batch   3234, Loss  0.848832, Average Loss  0.866234, Time  0.451285
2021-09-10 04:25:17.589809 : Epoch  8, Batch   3235, Loss  0.865100, Average Loss  0.866296, Time  0.364547
2021-09-10 04:25:19.357771 : Epoch  8, Batch   3236, Loss  0.849696, Average Loss  0.866049, Time  0.359827
2021-09-10 04:25:21.157356 : Epoch  8, Batch   3237, Loss  0.872119, Average Loss  0.866202, Time  0.397208
2021-09-10 04:25:23.013776 : Epoch  8, Batch   3238, Loss  0.852823, Average Loss  0.866038, Time  0.452803
2021-09-10 04:25:24.804274 : Epoch  8, Batch   3239, Loss  0.886701, Average Loss  0.866194, Time  0.356737
2021-09-10 04:25:26.583755 : Epoch  8, Batch   3240, Loss  0.858518, Average Loss  0.866219, Time  0.362939
2021-09-10 04:25:28.388076 : Epoch  8, Batch   3241, Loss  0.862613, Average Loss  0.866251, Time  0.398739
2021-09-10 04:25:30.246686 : Epoch  8, Batch   3242, Loss  0.883502, Average Loss  0.866239, Time  0.457392
2021-09-10 04:25:32.027216 : Epoch  8, Batch   3243, Loss  0.899401, Average Loss  0.866336, Time  0.366869
2021-09-10 04:25:33.788773 : Epoch  8, Batch   3244, Loss  0.887725, Average Loss  0.866426, Time  0.363441
2021-09-10 04:25:35.592672 : Epoch  8, Batch   3245, Loss  0.858077, Average Loss  0.866327, Time  0.395999
2021-09-10 04:25:37.451847 : Epoch  8, Batch   3246, Loss  0.863786, Average Loss  0.866232, Time  0.459232
2021-09-10 04:25:39.224047 : Epoch  8, Batch   3247, Loss  0.837042, Average Loss  0.866058, Time  0.360589
2021-09-10 04:25:41.034760 : Epoch  8, Batch   3248, Loss  0.866831, Average Loss  0.865899, Time  0.368881
2021-09-10 04:25:42.834536 : Epoch  8, Batch   3249, Loss  0.892581, Average Loss  0.866045, Time  0.398140
2021-09-10 04:25:44.717838 : Epoch  8, Batch   3250, Loss  0.867811, Average Loss  0.865940, Time  0.465740
2021-09-10 04:25:46.501776 : Epoch  8, Batch   3251, Loss  0.888650, Average Loss  0.866141, Time  0.370509
2021-09-10 04:25:48.302826 : Epoch  8, Batch   3252, Loss  0.862415, Average Loss  0.866001, Time  0.355514
2021-09-10 04:25:50.093650 : Epoch  8, Batch   3253, Loss  0.887145, Average Loss  0.866018, Time  0.386543
2021-09-10 04:25:51.983130 : Epoch  8, Batch   3254, Loss  0.847306, Average Loss  0.865965, Time  0.461950
2021-09-10 04:25:53.826819 : Epoch  8, Batch   3255, Loss  0.858557, Average Loss  0.865982, Time  0.406248
2021-09-10 04:25:55.590201 : Epoch  8, Batch   3256, Loss  0.892523, Average Loss  0.866148, Time  0.360841
2021-09-10 04:25:57.503222 : Epoch  8, Batch   3257, Loss  0.886649, Average Loss  0.866335, Time  0.419534
2021-09-10 04:25:59.414782 : Epoch  8, Batch   3258, Loss  0.866282, Average Loss  0.866276, Time  0.461856
2021-09-10 04:26:01.269783 : Epoch  8, Batch   3259, Loss  0.889711, Average Loss  0.866286, Time  0.435281
2021-09-10 04:26:03.039821 : Epoch  8, Batch   3260, Loss  0.856476, Average Loss  0.866295, Time  0.356422
2021-09-10 04:26:04.814866 : Epoch  8, Batch   3261, Loss  0.886797, Average Loss  0.866447, Time  0.357160
2021-09-10 04:26:06.669524 : Epoch  8, Batch   3262, Loss  0.918686, Average Loss  0.866628, Time  0.437697
2021-09-10 04:26:08.547839 : Epoch  8, Batch   3263, Loss  0.835505, Average Loss  0.866444, Time  0.452445
2021-09-10 04:26:10.310680 : Epoch  8, Batch   3264, Loss  0.878936, Average Loss  0.866276, Time  0.363831
2021-09-10 04:26:12.089876 : Epoch  8, Batch   3265, Loss  0.837061, Average Loss  0.866184, Time  0.356578
2021-09-10 04:26:13.925913 : Epoch  8, Batch   3266, Loss  0.867002, Average Loss  0.866190, Time  0.398391
2021-09-10 04:26:15.833292 : Epoch  8, Batch   3267, Loss  0.897752, Average Loss  0.866243, Time  0.454986
2021-09-10 04:26:17.628781 : Epoch  8, Batch   3268, Loss  0.880443, Average Loss  0.866391, Time  0.373134
2021-09-10 04:26:19.425098 : Epoch  8, Batch   3269, Loss  0.867715, Average Loss  0.866479, Time  0.358230
2021-09-10 04:26:21.206630 : Epoch  8, Batch   3270, Loss  0.875703, Average Loss  0.866395, Time  0.365537
2021-09-10 04:26:23.107814 : Epoch  8, Batch   3271, Loss  0.877862, Average Loss  0.866346, Time  0.457160
2021-09-10 04:26:25.000903 : Epoch  8, Batch   3272, Loss  0.869138, Average Loss  0.866445, Time  0.450698
2021-09-10 04:26:26.779217 : Epoch  8, Batch   3273, Loss  0.883008, Average Loss  0.866465, Time  0.357091
2021-09-10 04:26:28.541618 : Epoch  8, Batch   3274, Loss  0.880740, Average Loss  0.866433, Time  0.358012
2021-09-10 04:26:30.361785 : Epoch  8, Batch   3275, Loss  0.890442, Average Loss  0.866555, Time  0.397352
2021-09-10 04:26:32.255802 : Epoch  8, Batch   3276, Loss  0.879527, Average Loss  0.866584, Time  0.463478
2021-09-10 04:26:34.040851 : Epoch  8, Batch   3277, Loss  0.885212, Average Loss  0.866683, Time  0.351158
2021-09-10 04:26:35.812473 : Epoch  8, Batch   3278, Loss  0.872567, Average Loss  0.866751, Time  0.357202
2021-09-10 04:26:37.609797 : Epoch  8, Batch   3279, Loss  0.858831, Average Loss  0.866628, Time  0.368181
2021-09-10 04:26:39.499959 : Epoch  8, Batch   3280, Loss  0.876828, Average Loss  0.866860, Time  0.452980
2021-09-10 04:26:41.413889 : Epoch  8, Batch   3281, Loss  0.862304, Average Loss  0.866674, Time  0.445245
2021-09-10 04:26:43.179331 : Epoch  8, Batch   3282, Loss  0.888267, Average Loss  0.866665, Time  0.359238
2021-09-10 04:26:44.964841 : Epoch  8, Batch   3283, Loss  0.873686, Average Loss  0.866668, Time  0.364899
2021-09-10 04:26:46.790774 : Epoch  8, Batch   3284, Loss  0.904260, Average Loss  0.866826, Time  0.412024
2021-09-10 04:26:48.657368 : Epoch  8, Batch   3285, Loss  0.880750, Average Loss  0.866838, Time  0.460392
2021-09-10 04:26:50.439799 : Epoch  8, Batch   3286, Loss  0.859125, Average Loss  0.866651, Time  0.361073
2021-09-10 04:26:52.196244 : Epoch  8, Batch   3287, Loss  0.892184, Average Loss  0.866816, Time  0.355871
2021-09-10 04:26:54.018820 : Epoch  8, Batch   3288, Loss  0.880504, Average Loss  0.866862, Time  0.388149
2021-09-10 04:26:55.895919 : Epoch  8, Batch   3289, Loss  0.879110, Average Loss  0.866892, Time  0.466120
2021-09-10 04:26:57.675253 : Epoch  8, Batch   3290, Loss  0.874864, Average Loss  0.866799, Time  0.359546
2021-09-10 04:26:59.458824 : Epoch  8, Batch   3291, Loss  0.859054, Average Loss  0.866559, Time  0.357189
2021-09-10 04:27:01.263869 : Epoch  8, Batch   3292, Loss  0.890719, Average Loss  0.866582, Time  0.388946
2021-09-10 04:27:03.181871 : Epoch  8, Batch   3293, Loss  0.841650, Average Loss  0.866418, Time  0.458873
2021-09-10 04:27:04.955866 : Epoch  8, Batch   3294, Loss  0.854803, Average Loss  0.866331, Time  0.353091
2021-09-10 04:27:06.732904 : Epoch  8, Batch   3295, Loss  0.901455, Average Loss  0.866542, Time  0.356925
2021-09-10 04:27:08.506773 : Epoch  8, Batch   3296, Loss  0.852296, Average Loss  0.866418, Time  0.364608
2021-09-10 04:27:10.410869 : Epoch  8, Batch   3297, Loss  0.857240, Average Loss  0.866389, Time  0.460979
2021-09-10 04:27:12.272006 : Epoch  8, Batch   3298, Loss  0.889486, Average Loss  0.866510, Time  0.431864
2021-09-10 04:27:14.030950 : Epoch  8, Batch   3299, Loss  0.868045, Average Loss  0.866613, Time  0.358816
2021-09-10 04:27:15.817842 : Epoch  8, Batch   3300, Loss  0.867384, Average Loss  0.866676, Time  0.360287
2021-09-10 04:27:17.680840 : Epoch  8, Batch   3301, Loss  0.849712, Average Loss  0.866470, Time  0.439366
2021-09-10 04:27:19.537812 : Epoch  8, Batch   3302, Loss  0.872268, Average Loss  0.866557, Time  0.452393
2021-09-10 04:27:21.294806 : Epoch  8, Batch   3303, Loss  0.901048, Average Loss  0.866756, Time  0.356323
2021-09-10 04:27:23.099807 : Epoch  8, Batch   3304, Loss  0.882192, Average Loss  0.866904, Time  0.380948
2021-09-10 04:27:24.912033 : Epoch  8, Batch   3305, Loss  0.847889, Average Loss  0.866812, Time  0.395295
2021-09-10 04:27:26.794067 : Epoch  8, Batch   3306, Loss  0.879494, Average Loss  0.866904, Time  0.458899
2021-09-10 04:27:28.565797 : Epoch  8, Batch   3307, Loss  0.878032, Average Loss  0.867059, Time  0.368972
2021-09-10 04:27:30.354047 : Epoch  8, Batch   3308, Loss  0.848155, Average Loss  0.867016, Time  0.365768
2021-09-10 04:27:32.193774 : Epoch  8, Batch   3309, Loss  0.862133, Average Loss  0.866894, Time  0.393013
2021-09-10 04:27:34.098053 : Epoch  8, Batch   3310, Loss  0.867733, Average Loss  0.867009, Time  0.468888
2021-09-10 04:27:35.863793 : Epoch  8, Batch   3311, Loss  0.868669, Average Loss  0.867095, Time  0.349985
2021-09-10 04:27:37.658812 : Epoch  8, Batch   3312, Loss  0.858531, Average Loss  0.867039, Time  0.363119
2021-09-10 04:27:39.455982 : Epoch  8, Batch   3313, Loss  0.852907, Average Loss  0.866893, Time  0.360312
2021-09-10 04:27:41.362987 : Epoch  8, Batch   3314, Loss  0.862003, Average Loss  0.866718, Time  0.461072
2021-09-10 04:27:43.142843 : Epoch  8, Batch   3315, Loss  0.853358, Average Loss  0.866625, Time  0.358079
2021-09-10 04:27:44.942786 : Epoch  8, Batch   3316, Loss  0.889856, Average Loss  0.866747, Time  0.359009
2021-09-10 04:27:46.727827 : Epoch  8, Batch   3317, Loss  0.858335, Average Loss  0.866781, Time  0.371610
2021-09-10 04:27:48.618078 : Epoch  8, Batch   3318, Loss  0.854387, Average Loss  0.866677, Time  0.454489
2021-09-10 04:27:50.400787 : Epoch  8, Batch   3319, Loss  0.884066, Average Loss  0.866677, Time  0.357488
2021-09-10 04:27:52.210799 : Epoch  8, Batch   3320, Loss  0.878651, Average Loss  0.866663, Time  0.368554
2021-09-10 04:27:54.020438 : Epoch  8, Batch   3321, Loss  0.879060, Average Loss  0.866780, Time  0.380252
2021-09-10 04:27:55.909832 : Epoch  8, Batch   3322, Loss  0.873292, Average Loss  0.866895, Time  0.454024
2021-09-10 04:27:57.698110 : Epoch  8, Batch   3323, Loss  0.874630, Average Loss  0.866922, Time  0.364385
2021-09-10 04:32:47.607720 : CheckPoint: Validation Loss  0.00061178, Best Loss  0.00056427
2021-09-10 04:32:49.492575 : Epoch  8, Batch   3324, Loss  0.857742, Average Loss  0.867026, Time  0.455593
2021-09-10 04:32:51.267815 : Epoch  8, Batch   3325, Loss  0.893171, Average Loss  0.867025, Time  0.362895
2021-09-10 04:32:53.047772 : Epoch  8, Batch   3326, Loss  0.882583, Average Loss  0.867256, Time  0.355535
2021-09-10 04:32:54.871093 : Epoch  8, Batch   3327, Loss  0.860664, Average Loss  0.867179, Time  0.394761
2021-09-10 04:32:56.721793 : Epoch  8, Batch   3328, Loss  0.862624, Average Loss  0.867015, Time  0.450025
2021-09-10 04:32:58.496105 : Epoch  8, Batch   3329, Loss  0.889774, Average Loss  0.866997, Time  0.356671
2021-09-10 04:33:00.304423 : Epoch  8, Batch   3330, Loss  0.901457, Average Loss  0.867202, Time  0.356181
2021-09-10 04:33:02.109288 : Epoch  8, Batch   3331, Loss  0.871407, Average Loss  0.867234, Time  0.403540
2021-09-10 04:33:03.967887 : Epoch  8, Batch   3332, Loss  0.866733, Average Loss  0.867203, Time  0.450814
2021-09-10 04:33:05.720965 : Epoch  8, Batch   3333, Loss  0.856916, Average Loss  0.867190, Time  0.358279
2021-09-10 04:33:07.510079 : Epoch  8, Batch   3334, Loss  0.855090, Average Loss  0.867347, Time  0.366348
2021-09-10 04:33:09.343667 : Epoch  8, Batch   3335, Loss  0.874908, Average Loss  0.867501, Time  0.405150
2021-09-10 04:33:11.237773 : Epoch  8, Batch   3336, Loss  0.882002, Average Loss  0.867523, Time  0.458676
2021-09-10 04:33:13.028112 : Epoch  8, Batch   3337, Loss  0.891777, Average Loss  0.867638, Time  0.370590
2021-09-10 04:33:14.789888 : Epoch  8, Batch   3338, Loss  0.868749, Average Loss  0.867629, Time  0.356906
2021-09-10 04:33:16.613868 : Epoch  8, Batch   3339, Loss  0.875002, Average Loss  0.867724, Time  0.401455
2021-09-10 04:33:18.497237 : Epoch  8, Batch   3340, Loss  0.840795, Average Loss  0.867614, Time  0.455844
2021-09-10 04:33:20.259771 : Epoch  8, Batch   3341, Loss  0.871722, Average Loss  0.867703, Time  0.368088
2021-09-10 04:33:22.020226 : Epoch  8, Batch   3342, Loss  0.859684, Average Loss  0.867705, Time  0.356544
2021-09-10 04:33:23.865780 : Epoch  8, Batch   3343, Loss  0.862127, Average Loss  0.867543, Time  0.413890
2021-09-10 04:33:25.747919 : Epoch  8, Batch   3344, Loss  0.884912, Average Loss  0.867726, Time  0.454422
2021-09-10 04:33:27.539907 : Epoch  8, Batch   3345, Loss  0.868645, Average Loss  0.867679, Time  0.364598
2021-09-10 04:33:29.295014 : Epoch  8, Batch   3346, Loss  0.870948, Average Loss  0.867792, Time  0.361638
2021-09-10 04:33:31.115220 : Epoch  8, Batch   3347, Loss  0.913902, Average Loss  0.868101, Time  0.404128
2021-09-10 04:33:32.977851 : Epoch  8, Batch   3348, Loss  0.853129, Average Loss  0.868016, Time  0.442415
2021-09-10 04:33:34.766215 : Epoch  8, Batch   3349, Loss  0.867615, Average Loss  0.868059, Time  0.358207
2021-09-10 04:33:36.544858 : Epoch  8, Batch   3350, Loss  0.840521, Average Loss  0.868014, Time  0.365772
2021-09-10 04:33:38.409775 : Epoch  8, Batch   3351, Loss  0.875246, Average Loss  0.868041, Time  0.410982
2021-09-10 04:33:40.275844 : Epoch  8, Batch   3352, Loss  0.883202, Average Loss  0.868202, Time  0.452359
2021-09-10 04:33:42.039142 : Epoch  8, Batch   3353, Loss  0.867791, Average Loss  0.868094, Time  0.357286
2021-09-10 04:33:43.816232 : Epoch  8, Batch   3354, Loss  0.865995, Average Loss  0.868175, Time  0.357306
2021-09-10 04:33:45.642785 : Epoch  8, Batch   3355, Loss  0.890302, Average Loss  0.868223, Time  0.395123
2021-09-10 04:33:47.537772 : Epoch  8, Batch   3356, Loss  0.850945, Average Loss  0.868166, Time  0.460826
2021-09-10 04:33:49.326943 : Epoch  8, Batch   3357, Loss  0.892900, Average Loss  0.868326, Time  0.356545
2021-09-10 04:33:51.113106 : Epoch  8, Batch   3358, Loss  0.880994, Average Loss  0.868496, Time  0.374215
2021-09-10 04:33:52.898634 : Epoch  8, Batch   3359, Loss  0.880507, Average Loss  0.868616, Time  0.383241
2021-09-10 04:33:54.770100 : Epoch  8, Batch   3360, Loss  0.881156, Average Loss  0.868650, Time  0.466436
2021-09-10 04:33:56.539097 : Epoch  8, Batch   3361, Loss  0.894323, Average Loss  0.868845, Time  0.374851
2021-09-10 04:33:58.296834 : Epoch  8, Batch   3362, Loss  0.842787, Average Loss  0.868703, Time  0.356183
2021-09-10 04:34:00.101833 : Epoch  8, Batch   3363, Loss  0.858530, Average Loss  0.868593, Time  0.390836
2021-09-10 04:34:01.978102 : Epoch  8, Batch   3364, Loss  0.897969, Average Loss  0.868798, Time  0.468343
2021-09-10 04:34:03.742764 : Epoch  8, Batch   3365, Loss  0.873364, Average Loss  0.868768, Time  0.360340
2021-09-10 04:34:05.503872 : Epoch  8, Batch   3366, Loss  0.847973, Average Loss  0.868630, Time  0.356036
2021-09-10 04:34:07.313774 : Epoch  8, Batch   3367, Loss  0.888905, Average Loss  0.868828, Time  0.398069
2021-09-10 04:34:09.181883 : Epoch  8, Batch   3368, Loss  0.872513, Average Loss  0.868806, Time  0.465852
2021-09-10 04:34:10.974533 : Epoch  8, Batch   3369, Loss  0.867797, Average Loss  0.868923, Time  0.357502
2021-09-10 04:34:12.773883 : Epoch  8, Batch   3370, Loss  0.861128, Average Loss  0.868909, Time  0.357027
2021-09-10 04:34:14.603926 : Epoch  8, Batch   3371, Loss  0.884085, Average Loss  0.869196, Time  0.379938
2021-09-10 04:34:16.500899 : Epoch  8, Batch   3372, Loss  0.875425, Average Loss  0.869163, Time  0.451983
2021-09-10 04:34:18.272794 : Epoch  8, Batch   3373, Loss  0.869984, Average Loss  0.869227, Time  0.363365
2021-09-10 04:34:20.062956 : Epoch  8, Batch   3374, Loss  0.904417, Average Loss  0.869405, Time  0.356332
2021-09-10 04:34:21.876848 : Epoch  8, Batch   3375, Loss  0.863936, Average Loss  0.869347, Time  0.367955
2021-09-10 04:34:23.737701 : Epoch  8, Batch   3376, Loss  0.870177, Average Loss  0.869405, Time  0.454318
2021-09-10 04:34:25.526091 : Epoch  8, Batch   3377, Loss  0.909817, Average Loss  0.869617, Time  0.356574
2021-09-10 04:34:27.334773 : Epoch  8, Batch   3378, Loss  0.897855, Average Loss  0.869825, Time  0.381221
2021-09-10 04:34:29.140773 : Epoch  8, Batch   3379, Loss  0.857658, Average Loss  0.869756, Time  0.379238
2021-09-10 04:34:31.016809 : Epoch  8, Batch   3380, Loss  0.829337, Average Loss  0.869625, Time  0.456729
2021-09-10 04:34:32.792089 : Epoch  8, Batch   3381, Loss  0.884311, Average Loss  0.869843, Time  0.357611
2021-09-10 04:34:34.571809 : Epoch  8, Batch   3382, Loss  0.888375, Average Loss  0.869841, Time  0.362825
2021-09-10 04:34:36.369111 : Epoch  8, Batch   3383, Loss  0.857331, Average Loss  0.869765, Time  0.383384
2021-09-10 04:34:38.264137 : Epoch  8, Batch   3384, Loss  0.848048, Average Loss  0.869661, Time  0.453915
2021-09-10 04:34:40.043105 : Epoch  8, Batch   3385, Loss  0.885537, Average Loss  0.869733, Time  0.336047
2021-09-10 04:34:41.821655 : Epoch  8, Batch   3386, Loss  0.850578, Average Loss  0.869707, Time  0.366261
2021-09-10 04:34:43.597231 : Epoch  8, Batch   3387, Loss  0.849957, Average Loss  0.869750, Time  0.365284
2021-09-10 04:34:45.476892 : Epoch  8, Batch   3388, Loss  0.851703, Average Loss  0.869540, Time  0.450758
2021-09-10 04:34:47.251234 : Epoch  8, Batch   3389, Loss  0.852784, Average Loss  0.869564, Time  0.362864
2021-09-10 04:34:49.034918 : Epoch  8, Batch   3390, Loss  0.889985, Average Loss  0.869688, Time  0.357849
2021-09-10 04:34:50.836223 : Epoch  8, Batch   3391, Loss  0.855377, Average Loss  0.869570, Time  0.382701
2021-09-10 04:34:52.687953 : Epoch  8, Batch   3392, Loss  0.876440, Average Loss  0.869594, Time  0.452807
2021-09-10 04:34:54.487233 : Epoch  8, Batch   3393, Loss  0.854024, Average Loss  0.869537, Time  0.367006
2021-09-10 04:34:56.292458 : Epoch  8, Batch   3394, Loss  0.858083, Average Loss  0.869474, Time  0.364248
2021-09-10 04:34:58.059856 : Epoch  8, Batch   3395, Loss  0.849208, Average Loss  0.869544, Time  0.373625
2021-09-10 04:34:59.921014 : Epoch  8, Batch   3396, Loss  0.880448, Average Loss  0.869744, Time  0.451140
2021-09-10 04:35:01.689461 : Epoch  8, Batch   3397, Loss  0.862875, Average Loss  0.869813, Time  0.370091
2021-09-10 04:35:03.465819 : Epoch  8, Batch   3398, Loss  0.855502, Average Loss  0.869834, Time  0.356888
2021-09-10 04:35:05.278164 : Epoch  8, Batch   3399, Loss  0.874285, Average Loss  0.870013, Time  0.392058
2021-09-10 04:35:07.154779 : Epoch  8, Batch   3400, Loss  0.894477, Average Loss  0.870209, Time  0.455659
2021-09-10 04:35:08.927774 : Epoch  8, Batch   3401, Loss  0.847119, Average Loss  0.870099, Time  0.364432
2021-09-10 04:35:10.710125 : Epoch  8, Batch   3402, Loss  0.889414, Average Loss  0.870081, Time  0.363265
2021-09-10 04:35:12.512035 : Epoch  8, Batch   3403, Loss  0.881035, Average Loss  0.870119, Time  0.396205
2021-09-10 04:35:14.395929 : Epoch  8, Batch   3404, Loss  0.889264, Average Loss  0.870190, Time  0.465662
2021-09-10 04:35:16.199103 : Epoch  8, Batch   3405, Loss  0.890379, Average Loss  0.870411, Time  0.358796
2021-09-10 04:35:17.971489 : Epoch  8, Batch   3406, Loss  0.855156, Average Loss  0.870348, Time  0.359308
2021-09-10 04:35:19.749855 : Epoch  8, Batch   3407, Loss  0.878759, Average Loss  0.870611, Time  0.371927
2021-09-10 04:35:21.613932 : Epoch  8, Batch   3408, Loss  0.860179, Average Loss  0.870466, Time  0.458910
2021-09-10 04:35:23.390771 : Epoch  8, Batch   3409, Loss  0.853302, Average Loss  0.870420, Time  0.357184
2021-09-10 04:35:25.182975 : Epoch  8, Batch   3410, Loss  0.881550, Average Loss  0.870623, Time  0.362083
2021-09-10 04:35:27.013103 : Epoch  8, Batch   3411, Loss  0.878298, Average Loss  0.870731, Time  0.389833
2021-09-10 04:35:28.920769 : Epoch  8, Batch   3412, Loss  0.877526, Average Loss  0.870941, Time  0.455355
2021-09-10 04:35:30.761349 : Epoch  8, Batch   3413, Loss  0.862754, Average Loss  0.870967, Time  0.410835
2021-09-10 04:35:32.531855 : Epoch  8, Batch   3414, Loss  0.867702, Average Loss  0.871038, Time  0.374660
2021-09-10 04:35:34.291290 : Epoch  8, Batch   3415, Loss  0.847983, Average Loss  0.870794, Time  0.356260
2021-09-10 04:35:36.153514 : Epoch  8, Batch   3416, Loss  0.861355, Average Loss  0.870792, Time  0.457432
2021-09-10 04:35:38.031205 : Epoch  8, Batch   3417, Loss  0.868063, Average Loss  0.870800, Time  0.454585
2021-09-10 04:35:39.792813 : Epoch  8, Batch   3418, Loss  0.838044, Average Loss  0.870775, Time  0.358014
2021-09-10 04:35:41.576092 : Epoch  8, Batch   3419, Loss  0.874534, Average Loss  0.870661, Time  0.357455
2021-09-10 04:35:43.397764 : Epoch  8, Batch   3420, Loss  0.847896, Average Loss  0.870451, Time  0.414800
2021-09-10 04:35:45.265305 : Epoch  8, Batch   3421, Loss  0.906385, Average Loss  0.870551, Time  0.454218
2021-09-10 04:35:47.037772 : Epoch  8, Batch   3422, Loss  0.846501, Average Loss  0.870471, Time  0.362542
2021-09-10 04:35:48.834264 : Epoch  8, Batch   3423, Loss  0.884655, Average Loss  0.870672, Time  0.356683
2021-09-10 04:40:39.224438 : CheckPoint: Validation Loss  0.00062200, Best Loss  0.00056427
2021-09-10 04:40:41.083910 : Epoch  8, Batch   3424, Loss  0.864518, Average Loss  0.870663, Time  0.416852
2021-09-10 04:40:42.968782 : Epoch  8, Batch   3425, Loss  0.869909, Average Loss  0.870670, Time  0.447927
2021-09-10 04:40:44.753027 : Epoch  8, Batch   3426, Loss  0.854643, Average Loss  0.870597, Time  0.356565
2021-09-10 04:40:46.531778 : Epoch  8, Batch   3427, Loss  0.843407, Average Loss  0.870677, Time  0.357311
2021-09-10 04:40:48.332206 : Epoch  8, Batch   3428, Loss  0.885195, Average Loss  0.870690, Time  0.393371
2021-09-10 04:40:50.209766 : Epoch  8, Batch   3429, Loss  0.871915, Average Loss  0.870791, Time  0.453468
2021-09-10 04:40:51.983891 : Epoch  8, Batch   3430, Loss  0.838014, Average Loss  0.870703, Time  0.366391
2021-09-10 04:40:53.753785 : Epoch  8, Batch   3431, Loss  0.858533, Average Loss  0.870712, Time  0.355480
2021-09-10 04:40:55.560794 : Epoch  8, Batch   3432, Loss  0.854193, Average Loss  0.870642, Time  0.385759
2021-09-10 04:40:57.411778 : Epoch  8, Batch   3433, Loss  0.871420, Average Loss  0.870714, Time  0.453968
2021-09-10 04:40:59.200918 : Epoch  8, Batch   3434, Loss  0.860104, Average Loss  0.870770, Time  0.358803
2021-09-10 04:41:01.007766 : Epoch  8, Batch   3435, Loss  0.859434, Average Loss  0.870742, Time  0.357498
2021-09-10 04:41:02.802812 : Epoch  8, Batch   3436, Loss  0.863218, Average Loss  0.870809, Time  0.375839
2021-09-10 04:41:04.699778 : Epoch  8, Batch   3437, Loss  0.853104, Average Loss  0.870714, Time  0.463826
2021-09-10 04:41:06.466095 : Epoch  8, Batch   3438, Loss  0.883873, Average Loss  0.870870, Time  0.334987
2021-09-10 04:41:08.261238 : Epoch  8, Batch   3439, Loss  0.872116, Average Loss  0.870797, Time  0.359749
2021-09-10 04:41:10.043773 : Epoch  8, Batch   3440, Loss  0.870891, Average Loss  0.870859, Time  0.361633
2021-09-10 04:41:11.939597 : Epoch  8, Batch   3441, Loss  0.873079, Average Loss  0.870911, Time  0.460186
2021-09-10 04:41:13.699106 : Epoch  8, Batch   3442, Loss  0.863061, Average Loss  0.870809, Time  0.360376
2021-09-10 04:41:15.473384 : Epoch  8, Batch   3443, Loss  0.830606, Average Loss  0.870465, Time  0.375873
2021-09-10 04:41:17.250776 : Epoch  8, Batch   3444, Loss  0.887758, Average Loss  0.870465, Time  0.364000
2021-09-10 04:41:19.128971 : Epoch  8, Batch   3445, Loss  0.829223, Average Loss  0.870321, Time  0.451129
2021-09-10 04:41:20.886928 : Epoch  8, Batch   3446, Loss  0.851920, Average Loss  0.870261, Time  0.362639
2021-09-10 04:41:22.646778 : Epoch  8, Batch   3447, Loss  0.870957, Average Loss  0.870431, Time  0.362930
2021-09-10 04:41:24.441775 : Epoch  8, Batch   3448, Loss  0.869540, Average Loss  0.870444, Time  0.404011
2021-09-10 04:41:26.326652 : Epoch  8, Batch   3449, Loss  0.869582, Average Loss  0.870329, Time  0.450835
2021-09-10 04:41:28.102647 : Epoch  8, Batch   3450, Loss  0.862432, Average Loss  0.870302, Time  0.360487
2021-09-10 04:41:29.866714 : Epoch  8, Batch   3451, Loss  0.907678, Average Loss  0.870398, Time  0.362703
2021-09-10 04:41:31.686776 : Epoch  8, Batch   3452, Loss  0.882728, Average Loss  0.870499, Time  0.405120
2021-09-10 04:41:33.595889 : Epoch  8, Batch   3453, Loss  0.842335, Average Loss  0.870275, Time  0.467304
2021-09-10 04:41:35.361775 : Epoch  8, Batch   3454, Loss  0.882741, Average Loss  0.870452, Time  0.359230
2021-09-10 04:41:37.144139 : Epoch  8, Batch   3455, Loss  0.869127, Average Loss  0.870505, Time  0.358950
2021-09-10 04:41:38.950854 : Epoch  8, Batch   3456, Loss  0.898192, Average Loss  0.870534, Time  0.397305
2021-09-10 04:41:40.870103 : Epoch  8, Batch   3457, Loss  0.868613, Average Loss  0.870443, Time  0.451880
2021-09-10 04:41:42.683776 : Epoch  8, Batch   3458, Loss  0.862796, Average Loss  0.870426, Time  0.358776
2021-09-10 04:41:44.492095 : Epoch  8, Batch   3459, Loss  0.886658, Average Loss  0.870411, Time  0.377101
2021-09-10 04:41:46.381771 : Epoch  8, Batch   3460, Loss  0.858914, Average Loss  0.870423, Time  0.454159
2021-09-10 04:41:48.156993 : Epoch  8, Batch   3461, Loss  0.892193, Average Loss  0.870450, Time  0.364389
2021-09-10 04:41:49.934780 : Epoch  8, Batch   3462, Loss  0.826085, Average Loss  0.869987, Time  0.363410
2021-09-10 04:41:51.712834 : Epoch  8, Batch   3463, Loss  0.900731, Average Loss  0.870313, Time  0.363619
2021-09-10 04:41:53.474774 : Epoch  8, Batch   3464, Loss  0.881646, Average Loss  0.870326, Time  0.363743
2021-09-10 04:41:55.241103 : Epoch  8, Batch   3465, Loss  0.868677, Average Loss  0.870485, Time  0.355610
2021-09-10 04:41:57.007764 : Epoch  8, Batch   3466, Loss  0.809743, Average Loss  0.870198, Time  0.357195
2021-09-10 04:41:58.883109 : Epoch  8, Batch   3467, Loss  0.850615, Average Loss  0.869963, Time  0.449642
2021-09-10 04:42:00.659778 : Epoch  8, Batch   3468, Loss  0.861785, Average Loss  0.869869, Time  0.359815
2021-09-10 04:42:02.447103 : Epoch  8, Batch   3469, Loss  0.877223, Average Loss  0.869917, Time  0.385292
2021-09-10 04:42:04.247090 : Epoch  8, Batch   3470, Loss  0.872067, Average Loss  0.869899, Time  0.365603
2021-09-10 04:42:06.025778 : Epoch  8, Batch   3471, Loss  0.869845, Average Loss  0.869859, Time  0.359187
2021-09-10 04:42:07.817835 : Epoch  8, Batch   3472, Loss  0.834555, Average Loss  0.869686, Time  0.364809
2021-09-10 04:42:09.580102 : Epoch  8, Batch   3473, Loss  0.871887, Average Loss  0.869630, Time  0.365935
2021-09-10 04:42:11.435948 : Epoch  8, Batch   3474, Loss  0.860032, Average Loss  0.869527, Time  0.444835
2021-09-10 04:42:13.216777 : Epoch  8, Batch   3475, Loss  0.892664, Average Loss  0.869538, Time  0.355862
2021-09-10 04:42:15.014270 : Epoch  8, Batch   3476, Loss  0.849551, Average Loss  0.869388, Time  0.381426
2021-09-10 04:42:16.782990 : Epoch  8, Batch   3477, Loss  0.859283, Average Loss  0.869258, Time  0.360872
2021-09-10 04:42:18.542484 : Epoch  8, Batch   3478, Loss  0.839414, Average Loss  0.869092, Time  0.358425
2021-09-10 04:42:20.313165 : Epoch  8, Batch   3479, Loss  0.842252, Average Loss  0.869009, Time  0.362777
2021-09-10 04:42:22.079785 : Epoch  8, Batch   3480, Loss  0.859338, Average Loss  0.868922, Time  0.361912
2021-09-10 04:42:23.864786 : Epoch  8, Batch   3481, Loss  0.850812, Average Loss  0.868865, Time  0.367127
2021-09-10 04:42:25.631952 : Epoch  8, Batch   3482, Loss  0.858219, Average Loss  0.868714, Time  0.362565
2021-09-10 04:42:27.458103 : Epoch  8, Batch   3483, Loss  0.854643, Average Loss  0.868619, Time  0.406354
2021-09-10 04:42:29.294803 : Epoch  8, Batch   3484, Loss  0.880463, Average Loss  0.868500, Time  0.400838
2021-09-10 04:42:31.088816 : Epoch  8, Batch   3485, Loss  0.846351, Average Loss  0.868328, Time  0.363368
2021-09-10 04:42:32.878073 : Epoch  8, Batch   3486, Loss  0.913098, Average Loss  0.868598, Time  0.378262
2021-09-10 04:42:34.664958 : Epoch  8, Batch   3487, Loss  0.846127, Average Loss  0.868368, Time  0.365340
2021-09-10 04:42:36.453235 : Epoch  8, Batch   3488, Loss  0.852754, Average Loss  0.868229, Time  0.374073
2021-09-10 04:42:38.223944 : Epoch  8, Batch   3489, Loss  0.889754, Average Loss  0.868282, Time  0.357950
2021-09-10 04:42:40.002102 : Epoch  8, Batch   3490, Loss  0.874198, Average Loss  0.868279, Time  0.373414
2021-09-10 04:42:41.813863 : Epoch  8, Batch   3491, Loss  0.864031, Average Loss  0.868304, Time  0.356078
2021-09-10 04:42:43.635062 : Epoch  8, Batch   3492, Loss  0.850939, Average Loss  0.868105, Time  0.364036
2021-09-10 04:42:45.445778 : Epoch  8, Batch   3493, Loss  0.866762, Average Loss  0.868230, Time  0.358606
2021-09-10 04:42:47.248894 : Epoch  8, Batch   3494, Loss  0.872987, Average Loss  0.868321, Time  0.359414
2021-09-10 04:42:49.021764 : Epoch  8, Batch   3495, Loss  0.858258, Average Loss  0.868105, Time  0.358139
2021-09-10 04:42:50.791231 : Epoch  8, Batch   3496, Loss  0.880660, Average Loss  0.868247, Time  0.369823
2021-09-10 04:42:52.571559 : Epoch  8, Batch   3497, Loss  0.879934, Average Loss  0.868361, Time  0.357417
2021-09-10 04:42:54.379951 : Epoch  8, Batch   3498, Loss  0.873412, Average Loss  0.868280, Time  0.375359
2021-09-10 04:42:56.179781 : Epoch  8, Batch   3499, Loss  0.876547, Average Loss  0.868323, Time  0.359507
2021-09-10 04:42:57.996984 : Epoch  8, Batch   3500, Loss  0.894094, Average Loss  0.868456, Time  0.378714
2021-09-10 04:42:59.787779 : Epoch  8, Batch   3501, Loss  0.850564, Average Loss  0.868461, Time  0.359750
2021-09-10 04:43:01.569212 : Epoch  8, Batch   3502, Loss  0.857511, Average Loss  0.868387, Time  0.364276
2021-09-10 04:43:03.372113 : Epoch  8, Batch   3503, Loss  0.905118, Average Loss  0.868407, Time  0.361226
2021-09-10 04:43:05.177780 : Epoch  8, Batch   3504, Loss  0.868808, Average Loss  0.868340, Time  0.362582
2021-09-10 04:43:06.956218 : Epoch  8, Batch   3505, Loss  0.881776, Average Loss  0.868510, Time  0.358208
2021-09-10 04:43:08.760807 : Epoch  8, Batch   3506, Loss  0.864434, Average Loss  0.868434, Time  0.373886
2021-09-10 04:43:10.552827 : Epoch  8, Batch   3507, Loss  0.864571, Average Loss  0.868367, Time  0.358510
2021-09-10 04:43:12.352988 : Epoch  8, Batch   3508, Loss  0.863199, Average Loss  0.868442, Time  0.368708
2021-09-10 04:43:14.164077 : Epoch  8, Batch   3509, Loss  0.875780, Average Loss  0.868510, Time  0.357863
2021-09-10 04:43:15.978816 : Epoch  8, Batch   3510, Loss  0.875521, Average Loss  0.868549, Time  0.361807
2021-09-10 04:43:17.773813 : Epoch  8, Batch   3511, Loss  0.886183, Average Loss  0.868637, Time  0.359489
2021-09-10 04:43:19.573789 : Epoch  8, Batch   3512, Loss  0.871339, Average Loss  0.868701, Time  0.363709
2021-09-10 04:43:21.387769 : Epoch  8, Batch   3513, Loss  0.869476, Average Loss  0.868784, Time  0.361403
2021-09-10 04:43:23.179824 : Epoch  8, Batch   3514, Loss  0.871858, Average Loss  0.868833, Time  0.359613
2021-09-10 04:43:24.969780 : Epoch  8, Batch   3515, Loss  0.872474, Average Loss  0.868929, Time  0.358021
2021-09-10 04:43:26.781773 : Epoch  8, Batch   3516, Loss  0.867507, Average Loss  0.868817, Time  0.364832
2021-09-10 04:43:28.593833 : Epoch  8, Batch   3517, Loss  0.850123, Average Loss  0.868776, Time  0.358019
2021-09-10 04:43:30.406824 : Epoch  8, Batch   3518, Loss  0.883327, Average Loss  0.868921, Time  0.362296
2021-09-10 04:43:32.234911 : Epoch  8, Batch   3519, Loss  0.865167, Average Loss  0.868826, Time  0.358597
2021-09-10 04:43:34.023761 : Epoch  8, Batch   3520, Loss  0.893841, Average Loss  0.868902, Time  0.362815
2021-09-10 04:43:35.830213 : Epoch  8, Batch   3521, Loss  0.855597, Average Loss  0.868785, Time  0.359725
2021-09-10 04:43:37.608883 : Epoch  8, Batch   3522, Loss  0.850787, Average Loss  0.868672, Time  0.362383
2021-09-10 04:43:39.396763 : Epoch  8, Batch   3523, Loss  0.907451, Average Loss  0.868836, Time  0.362208
2021-09-10 04:48:28.637703 : CheckPoint: Validation Loss  0.00060557, Best Loss  0.00056427
2021-09-10 04:48:30.472960 : Epoch  8, Batch   3524, Loss  0.895568, Average Loss  0.869025, Time  0.363463
2021-09-10 04:48:32.329780 : Epoch  8, Batch   3525, Loss  0.870259, Average Loss  0.868911, Time  0.415291
2021-09-10 04:48:34.104718 : Epoch  8, Batch   3526, Loss  0.858940, Average Loss  0.868793, Time  0.358978
2021-09-10 04:48:35.937779 : Epoch  8, Batch   3527, Loss  0.855361, Average Loss  0.868766, Time  0.414881
2021-09-10 04:48:37.739842 : Epoch  8, Batch   3528, Loss  0.840413, Average Loss  0.868655, Time  0.356278
2021-09-10 04:48:39.600780 : Epoch  8, Batch   3529, Loss  0.877399, Average Loss  0.868593, Time  0.410964
2021-09-10 04:48:41.399836 : Epoch  8, Batch   3530, Loss  0.870654, Average Loss  0.868439, Time  0.357998
2021-09-10 04:48:43.241233 : Epoch  8, Batch   3531, Loss  0.891939, Average Loss  0.868542, Time  0.409415
2021-09-10 04:48:45.030761 : Epoch  8, Batch   3532, Loss  0.842990, Average Loss  0.868423, Time  0.364065
2021-09-10 04:48:46.866095 : Epoch  8, Batch   3533, Loss  0.854853, Average Loss  0.868413, Time  0.381359
2021-09-10 04:48:48.662863 : Epoch  8, Batch   3534, Loss  0.869274, Average Loss  0.868484, Time  0.359863
2021-09-10 04:48:50.457483 : Epoch  8, Batch   3535, Loss  0.863663, Average Loss  0.868428, Time  0.366808
2021-09-10 04:48:52.229854 : Epoch  8, Batch   3536, Loss  0.859359, Average Loss  0.868314, Time  0.365955
2021-09-10 04:48:54.002354 : Epoch  8, Batch   3537, Loss  0.833445, Average Loss  0.868023, Time  0.369447
2021-09-10 04:48:55.822813 : Epoch  8, Batch   3538, Loss  0.823522, Average Loss  0.867797, Time  0.367164
2021-09-10 04:48:57.597185 : Epoch  8, Batch   3539, Loss  0.864555, Average Loss  0.867744, Time  0.368858
2021-09-10 04:48:59.396772 : Epoch  8, Batch   3540, Loss  0.873196, Average Loss  0.867906, Time  0.358075
2021-09-10 04:49:01.216081 : Epoch  8, Batch   3541, Loss  0.888054, Average Loss  0.867988, Time  0.364026
2021-09-10 04:49:03.014885 : Epoch  8, Batch   3542, Loss  0.856655, Average Loss  0.867973, Time  0.366333
2021-09-10 04:49:04.802225 : Epoch  8, Batch   3543, Loss  0.890445, Average Loss  0.868114, Time  0.366227
2021-09-10 04:49:06.593090 : Epoch  8, Batch   3544, Loss  0.873047, Average Loss  0.868055, Time  0.358942
2021-09-10 04:49:08.390084 : Epoch  8, Batch   3545, Loss  0.876385, Average Loss  0.868094, Time  0.366340
2021-09-10 04:49:10.169891 : Epoch  8, Batch   3546, Loss  0.858231, Average Loss  0.868030, Time  0.356128
2021-09-10 04:49:11.975764 : Epoch  8, Batch   3547, Loss  0.883657, Average Loss  0.867879, Time  0.367074
2021-09-10 04:49:13.786998 : Epoch  8, Batch   3548, Loss  0.840260, Average Loss  0.867815, Time  0.358020
2021-09-10 04:49:15.590764 : Epoch  8, Batch   3549, Loss  0.896096, Average Loss  0.867957, Time  0.361097
2021-09-10 04:49:17.415171 : Epoch  8, Batch   3550, Loss  0.875632, Average Loss  0.868133, Time  0.359070
2021-09-10 04:49:19.213795 : Epoch  8, Batch   3551, Loss  0.862719, Average Loss  0.868070, Time  0.359264
2021-09-10 04:49:20.990790 : Epoch  8, Batch   3552, Loss  0.870139, Average Loss  0.868005, Time  0.359736
2021-09-10 04:49:22.795172 : Epoch  8, Batch   3553, Loss  0.866780, Average Loss  0.868000, Time  0.366939
2021-09-10 04:49:24.598160 : Epoch  8, Batch   3554, Loss  0.858447, Average Loss  0.867962, Time  0.357744
2021-09-10 04:49:26.413075 : Epoch  8, Batch   3555, Loss  0.861254, Average Loss  0.867817, Time  0.369077
2021-09-10 04:49:28.199840 : Epoch  8, Batch   3556, Loss  0.867038, Average Loss  0.867897, Time  0.358913
2021-09-10 04:49:30.035772 : Epoch  8, Batch   3557, Loss  0.875552, Average Loss  0.867810, Time  0.372756
2021-09-10 04:49:31.844054 : Epoch  8, Batch   3558, Loss  0.861041, Average Loss  0.867711, Time  0.357939
2021-09-10 04:49:33.654764 : Epoch  8, Batch   3559, Loss  0.864810, Average Loss  0.867632, Time  0.357436
2021-09-10 04:49:35.467085 : Epoch  8, Batch   3560, Loss  0.883252, Average Loss  0.867643, Time  0.358536
2021-09-10 04:49:37.277078 : Epoch  8, Batch   3561, Loss  0.852529, Average Loss  0.867434, Time  0.360123
2021-09-10 04:49:39.096075 : Epoch  8, Batch   3562, Loss  0.887281, Average Loss  0.867656, Time  0.357925
2021-09-10 04:49:40.889077 : Epoch  8, Batch   3563, Loss  0.878313, Average Loss  0.867755, Time  0.360816
2021-09-10 04:49:42.683083 : Epoch  8, Batch   3564, Loss  0.855931, Average Loss  0.867545, Time  0.358352
2021-09-10 04:49:44.458780 : Epoch  8, Batch   3565, Loss  0.886435, Average Loss  0.867610, Time  0.369647
2021-09-10 04:49:46.261171 : Epoch  8, Batch   3566, Loss  0.852367, Average Loss  0.867632, Time  0.359176
2021-09-10 04:49:48.074089 : Epoch  8, Batch   3567, Loss  0.843785, Average Loss  0.867407, Time  0.364329
2021-09-10 04:49:49.894968 : Epoch  8, Batch   3568, Loss  0.852271, Average Loss  0.867305, Time  0.357607
2021-09-10 04:49:51.683773 : Epoch  8, Batch   3569, Loss  0.891926, Average Loss  0.867426, Time  0.360165
2021-09-10 04:49:53.470077 : Epoch  8, Batch   3570, Loss  0.872652, Average Loss  0.867484, Time  0.358159
2021-09-10 04:49:55.287779 : Epoch  8, Batch   3571, Loss  0.920939, Average Loss  0.867668, Time  0.364105
2021-09-10 04:49:57.082857 : Epoch  8, Batch   3572, Loss  0.853856, Average Loss  0.867560, Time  0.357827
2021-09-10 04:49:58.903062 : Epoch  8, Batch   3573, Loss  0.865644, Average Loss  0.867538, Time  0.362131
2021-09-10 04:50:00.688827 : Epoch  8, Batch   3574, Loss  0.861052, Average Loss  0.867321, Time  0.374706
2021-09-10 04:50:02.485106 : Epoch  8, Batch   3575, Loss  0.864674, Average Loss  0.867325, Time  0.369041
2021-09-10 04:50:04.279832 : Epoch  8, Batch   3576, Loss  0.850193, Average Loss  0.867225, Time  0.371549
2021-09-10 04:50:06.090800 : Epoch  8, Batch   3577, Loss  0.878223, Average Loss  0.867067, Time  0.383170
2021-09-10 04:50:07.853112 : Epoch  8, Batch   3578, Loss  0.856352, Average Loss  0.866860, Time  0.357703
2021-09-10 04:50:09.645545 : Epoch  8, Batch   3579, Loss  0.864174, Average Loss  0.866892, Time  0.369106
2021-09-10 04:50:11.422980 : Epoch  8, Batch   3580, Loss  0.873723, Average Loss  0.867114, Time  0.356957
2021-09-10 04:50:13.245068 : Epoch  8, Batch   3581, Loss  0.854824, Average Loss  0.866967, Time  0.369315
2021-09-10 04:50:15.027765 : Epoch  8, Batch   3582, Loss  0.862064, Average Loss  0.866835, Time  0.361266
2021-09-10 04:50:16.813107 : Epoch  8, Batch   3583, Loss  0.885147, Average Loss  0.866974, Time  0.373710
2021-09-10 04:50:18.617028 : Epoch  8, Batch   3584, Loss  0.861324, Average Loss  0.867041, Time  0.365791
2021-09-10 04:50:20.414074 : Epoch  8, Batch   3585, Loss  0.864638, Average Loss  0.866936, Time  0.363808
2021-09-10 04:50:22.217081 : Epoch  8, Batch   3586, Loss  0.860922, Average Loss  0.866988, Time  0.360843
2021-09-10 04:50:24.033084 : Epoch  8, Batch   3587, Loss  0.863180, Average Loss  0.867054, Time  0.363402
2021-09-10 04:50:25.853967 : Epoch  8, Batch   3588, Loss  0.877815, Average Loss  0.867185, Time  0.359266
2021-09-10 04:50:27.659082 : Epoch  8, Batch   3589, Loss  0.850815, Average Loss  0.867175, Time  0.359630
2021-09-10 04:50:29.466987 : Epoch  8, Batch   3590, Loss  0.852149, Average Loss  0.866986, Time  0.358902
2021-09-10 04:50:31.295775 : Epoch  8, Batch   3591, Loss  0.854227, Average Loss  0.866980, Time  0.366510
2021-09-10 04:50:33.097909 : Epoch  8, Batch   3592, Loss  0.848406, Average Loss  0.866840, Time  0.360696
2021-09-10 04:50:34.897081 : Epoch  8, Batch   3593, Loss  0.857070, Average Loss  0.866855, Time  0.356103
2021-09-10 04:50:36.686941 : Epoch  8, Batch   3594, Loss  0.874087, Average Loss  0.866935, Time  0.359531
2021-09-10 04:50:38.476765 : Epoch  8, Batch   3595, Loss  0.855312, Average Loss  0.866965, Time  0.366284
2021-09-10 04:50:40.264962 : Epoch  8, Batch   3596, Loss  0.876037, Average Loss  0.866943, Time  0.361203
2021-09-10 04:50:42.070781 : Epoch  8, Batch   3597, Loss  0.872712, Average Loss  0.866993, Time  0.367008
2021-09-10 04:50:43.862960 : Epoch  8, Batch   3598, Loss  0.867798, Average Loss  0.867054, Time  0.378665
2021-09-10 04:50:45.631089 : Epoch  8, Batch   3599, Loss  0.869993, Average Loss  0.867033, Time  0.371957
2021-09-10 04:50:47.405827 : Epoch  8, Batch   3600, Loss  0.890039, Average Loss  0.867010, Time  0.358292
2021-09-10 04:50:49.221160 : Epoch  8, Batch   3601, Loss  0.818277, Average Loss  0.866866, Time  0.371793
2021-09-10 04:50:51.033854 : Epoch  8, Batch   3602, Loss  0.869011, Average Loss  0.866764, Time  0.373687
2021-09-10 04:50:52.857225 : Epoch  8, Batch   3603, Loss  0.899582, Average Loss  0.866857, Time  0.372586
2021-09-10 04:50:54.642769 : Epoch  8, Batch   3604, Loss  0.877186, Average Loss  0.866797, Time  0.366774
2021-09-10 04:50:56.432091 : Epoch  8, Batch   3605, Loss  0.863504, Average Loss  0.866662, Time  0.370131
2021-09-10 04:50:58.228789 : Epoch  8, Batch   3606, Loss  0.862982, Average Loss  0.866701, Time  0.365700
2021-09-10 04:51:00.031078 : Epoch  8, Batch   3607, Loss  0.832545, Average Loss  0.866470, Time  0.365030
2021-09-10 04:51:01.845912 : Epoch  8, Batch   3608, Loss  0.873274, Average Loss  0.866536, Time  0.358078
2021-09-10 04:51:03.659813 : Epoch  8, Batch   3609, Loss  0.917229, Average Loss  0.866855, Time  0.363123
2021-09-10 04:51:05.475856 : Epoch  8, Batch   3610, Loss  0.860614, Average Loss  0.866751, Time  0.360062
2021-09-10 04:51:07.296766 : Epoch  8, Batch   3611, Loss  0.864416, Average Loss  0.866681, Time  0.356171
2021-09-10 04:51:09.118855 : Epoch  8, Batch   3612, Loss  0.861439, Average Loss  0.866601, Time  0.360595
2021-09-10 04:51:10.933782 : Epoch  8, Batch   3613, Loss  0.863930, Average Loss  0.866607, Time  0.358100
2021-09-10 04:51:12.748765 : Epoch  8, Batch   3614, Loss  0.890291, Average Loss  0.866720, Time  0.360435
2021-09-10 04:51:14.551782 : Epoch  8, Batch   3615, Loss  0.855226, Average Loss  0.866756, Time  0.360425
2021-09-10 04:51:16.361977 : Epoch  8, Batch   3616, Loss  0.886076, Average Loss  0.866879, Time  0.359637
2021-09-10 04:51:18.170083 : Epoch  8, Batch   3617, Loss  0.893677, Average Loss  0.867008, Time  0.361505
2021-09-10 04:51:19.958903 : Epoch  8, Batch   3618, Loss  0.855988, Average Loss  0.867097, Time  0.358058
2021-09-10 04:51:21.776075 : Epoch  8, Batch   3619, Loss  0.880273, Average Loss  0.867126, Time  0.364690
2021-09-10 04:51:23.570076 : Epoch  8, Batch   3620, Loss  0.864110, Average Loss  0.867207, Time  0.358211
2021-09-10 04:51:25.389067 : Epoch  8, Batch   3621, Loss  0.864277, Average Loss  0.866996, Time  0.362507
2021-09-10 04:51:27.201999 : Epoch  8, Batch   3622, Loss  0.873477, Average Loss  0.867131, Time  0.357010
2021-09-10 04:51:29.021065 : Epoch  8, Batch   3623, Loss  0.863645, Average Loss  0.867026, Time  0.360026
2021-09-10 04:56:18.070738 : CheckPoint: Validation Loss  0.00061687, Best Loss  0.00056427
2021-09-10 04:56:19.896778 : Epoch  8, Batch   3624, Loss  0.861812, Average Loss  0.867013, Time  0.411842
2021-09-10 04:56:21.674907 : Epoch  8, Batch   3625, Loss  0.868094, Average Loss  0.867004, Time  0.358986
2021-09-10 04:56:23.490528 : Epoch  8, Batch   3626, Loss  0.884886, Average Loss  0.867155, Time  0.410273
2021-09-10 04:56:25.279843 : Epoch  8, Batch   3627, Loss  0.845225, Average Loss  0.867164, Time  0.356085
2021-09-10 04:56:27.137915 : Epoch  8, Batch   3628, Loss  0.865868, Average Loss  0.867067, Time  0.409952
2021-09-10 04:56:28.940032 : Epoch  8, Batch   3629, Loss  0.901775, Average Loss  0.867217, Time  0.374069
2021-09-10 04:56:30.787829 : Epoch  8, Batch   3630, Loss  0.878889, Average Loss  0.867421, Time  0.408420
2021-09-10 04:56:32.592779 : Epoch  8, Batch   3631, Loss  0.874994, Average Loss  0.867503, Time  0.360972
2021-09-10 04:56:34.387767 : Epoch  8, Batch   3632, Loss  0.894233, Average Loss  0.867704, Time  0.384569
2021-09-10 04:56:36.164774 : Epoch  8, Batch   3633, Loss  0.855731, Average Loss  0.867625, Time  0.359649
2021-09-10 04:56:37.944760 : Epoch  8, Batch   3634, Loss  0.854557, Average Loss  0.867597, Time  0.371998
2021-09-10 04:56:39.724775 : Epoch  8, Batch   3635, Loss  0.883871, Average Loss  0.867720, Time  0.364049
2021-09-10 04:56:41.514773 : Epoch  8, Batch   3636, Loss  0.834291, Average Loss  0.867575, Time  0.374949
2021-09-10 04:56:43.307108 : Epoch  8, Batch   3637, Loss  0.881364, Average Loss  0.867716, Time  0.361754
2021-09-10 04:56:45.089772 : Epoch  8, Batch   3638, Loss  0.878246, Average Loss  0.867688, Time  0.371366
2021-09-10 04:56:46.887774 : Epoch  8, Batch   3639, Loss  0.856905, Average Loss  0.867612, Time  0.359279
2021-09-10 04:56:48.692771 : Epoch  8, Batch   3640, Loss  0.876375, Average Loss  0.867639, Time  0.371382
2021-09-10 04:56:50.474987 : Epoch  8, Batch   3641, Loss  0.879175, Average Loss  0.867670, Time  0.359353
2021-09-10 04:56:52.267781 : Epoch  8, Batch   3642, Loss  0.869064, Average Loss  0.867700, Time  0.365713
2021-09-10 04:56:54.071773 : Epoch  8, Batch   3643, Loss  0.844984, Average Loss  0.867772, Time  0.359808
2021-09-10 04:56:55.885196 : Epoch  8, Batch   3644, Loss  0.893218, Average Loss  0.867799, Time  0.378973
2021-09-10 04:56:57.682158 : Epoch  8, Batch   3645, Loss  0.895725, Average Loss  0.868132, Time  0.365421
2021-09-10 04:56:59.451504 : Epoch  8, Batch   3646, Loss  0.867071, Average Loss  0.868207, Time  0.367325
2021-09-10 04:57:01.257777 : Epoch  8, Batch   3647, Loss  0.880123, Average Loss  0.868253, Time  0.373717
2021-09-10 04:57:03.101774 : Epoch  8, Batch   3648, Loss  0.882310, Average Loss  0.868317, Time  0.373718
2021-09-10 04:57:04.896766 : Epoch  8, Batch   3649, Loss  0.840257, Average Loss  0.868170, Time  0.369963
2021-09-10 04:57:06.685779 : Epoch  8, Batch   3650, Loss  0.879107, Average Loss  0.868254, Time  0.370450
2021-09-10 04:57:08.475928 : Epoch  8, Batch   3651, Loss  0.901756, Average Loss  0.868224, Time  0.361576
2021-09-10 04:57:10.269654 : Epoch  8, Batch   3652, Loss  0.880256, Average Loss  0.868212, Time  0.377753
2021-09-10 04:57:12.035846 : Epoch  8, Batch   3653, Loss  0.869544, Average Loss  0.868348, Time  0.358137
2021-09-10 04:57:13.833778 : Epoch  8, Batch   3654, Loss  0.875120, Average Loss  0.868310, Time  0.375803
2021-09-10 04:57:15.626807 : Epoch  8, Batch   3655, Loss  0.883352, Average Loss  0.868381, Time  0.377048
2021-09-10 04:57:17.445959 : Epoch  8, Batch   3656, Loss  0.907033, Average Loss  0.868425, Time  0.377303
2021-09-10 04:57:19.257121 : Epoch  8, Batch   3657, Loss  0.873016, Average Loss  0.868447, Time  0.360806
2021-09-10 04:57:21.039907 : Epoch  8, Batch   3658, Loss  0.897815, Average Loss  0.868622, Time  0.365461
2021-09-10 04:57:22.854850 : Epoch  8, Batch   3659, Loss  0.851562, Average Loss  0.868447, Time  0.357937
2021-09-10 04:57:24.652070 : Epoch  8, Batch   3660, Loss  0.883224, Average Loss  0.868568, Time  0.365578
2021-09-10 04:57:26.453776 : Epoch  8, Batch   3661, Loss  0.829895, Average Loss  0.868257, Time  0.364953
2021-09-10 04:57:28.232066 : Epoch  8, Batch   3662, Loss  0.897099, Average Loss  0.868612, Time  0.365098
2021-09-10 04:57:29.993103 : Epoch  8, Batch   3663, Loss  0.884842, Average Loss  0.868532, Time  0.356818
2021-09-10 04:57:31.794768 : Epoch  8, Batch   3664, Loss  0.895740, Average Loss  0.868603, Time  0.382096
2021-09-10 04:57:33.591113 : Epoch  8, Batch   3665, Loss  0.866981, Average Loss  0.868594, Time  0.365041
2021-09-10 04:57:35.391779 : Epoch  8, Batch   3666, Loss  0.841540, Average Loss  0.868753, Time  0.368201
2021-09-10 04:57:37.173114 : Epoch  8, Batch   3667, Loss  0.883108, Average Loss  0.868916, Time  0.357620
2021-09-10 04:57:38.976861 : Epoch  8, Batch   3668, Loss  0.856432, Average Loss  0.868889, Time  0.365790
2021-09-10 04:57:40.765235 : Epoch  8, Batch   3669, Loss  0.867165, Average Loss  0.868839, Time  0.360118
2021-09-10 04:57:42.547777 : Epoch  8, Batch   3670, Loss  0.873639, Average Loss  0.868847, Time  0.367095
2021-09-10 04:57:44.334102 : Epoch  8, Batch   3671, Loss  0.848665, Average Loss  0.868741, Time  0.358603
2021-09-10 04:57:46.113187 : Epoch  8, Batch   3672, Loss  0.855467, Average Loss  0.868845, Time  0.373545
2021-09-10 04:57:47.870319 : Epoch  8, Batch   3673, Loss  0.861020, Average Loss  0.868791, Time  0.357879
2021-09-10 04:57:49.657260 : Epoch  8, Batch   3674, Loss  0.870314, Average Loss  0.868842, Time  0.378520
2021-09-10 04:57:51.421927 : Epoch  8, Batch   3675, Loss  0.884698, Average Loss  0.868803, Time  0.356709
2021-09-10 04:57:53.221782 : Epoch  8, Batch   3676, Loss  0.849985, Average Loss  0.868805, Time  0.379414
2021-09-10 04:57:55.037758 : Epoch  8, Batch   3677, Loss  0.880910, Average Loss  0.868913, Time  0.368325
2021-09-10 04:57:56.861853 : Epoch  8, Batch   3678, Loss  0.862029, Average Loss  0.869026, Time  0.369784
2021-09-10 04:57:58.638959 : Epoch  8, Batch   3679, Loss  0.856307, Average Loss  0.869096, Time  0.358964
2021-09-10 04:58:00.439102 : Epoch  8, Batch   3680, Loss  0.858829, Average Loss  0.869094, Time  0.368582
2021-09-10 04:58:02.250765 : Epoch  8, Batch   3681, Loss  0.859398, Average Loss  0.869137, Time  0.356913
2021-09-10 04:58:04.046816 : Epoch  8, Batch   3682, Loss  0.869134, Average Loss  0.869191, Time  0.365043
2021-09-10 04:58:05.840778 : Epoch  8, Batch   3683, Loss  0.867787, Average Loss  0.869257, Time  0.363816
2021-09-10 04:58:07.642835 : Epoch  8, Batch   3684, Loss  0.852835, Average Loss  0.869119, Time  0.365452
2021-09-10 04:58:09.451771 : Epoch  8, Batch   3685, Loss  0.879927, Average Loss  0.869287, Time  0.363450
2021-09-10 04:58:11.244935 : Epoch  8, Batch   3686, Loss  0.887615, Average Loss  0.869159, Time  0.366074
2021-09-10 04:58:13.017886 : Epoch  8, Batch   3687, Loss  0.870859, Average Loss  0.869283, Time  0.358776
2021-09-10 04:58:14.816735 : Epoch  8, Batch   3688, Loss  0.869052, Average Loss  0.869364, Time  0.365826
2021-09-10 04:58:16.600103 : Epoch  8, Batch   3689, Loss  0.854516, Average Loss  0.869188, Time  0.368820
2021-09-10 04:58:18.395238 : Epoch  8, Batch   3690, Loss  0.883074, Average Loss  0.869233, Time  0.369154
2021-09-10 04:58:20.182359 : Epoch  8, Batch   3691, Loss  0.869322, Average Loss  0.869259, Time  0.360743
2021-09-10 04:58:21.959688 : Epoch  8, Batch   3692, Loss  0.830014, Average Loss  0.869154, Time  0.372461
2021-09-10 04:58:23.713826 : Epoch  8, Batch   3693, Loss  0.848766, Average Loss  0.869064, Time  0.360544
2021-09-10 04:58:25.487496 : Epoch  8, Batch   3694, Loss  0.902678, Average Loss  0.869213, Time  0.379874
2021-09-10 04:58:27.280843 : Epoch  8, Batch   3695, Loss  0.863973, Average Loss  0.869241, Time  0.367815
2021-09-10 04:58:29.095859 : Epoch  8, Batch   3696, Loss  0.892978, Average Loss  0.869303, Time  0.381054
2021-09-10 04:58:30.889861 : Epoch  8, Batch   3697, Loss  0.824815, Average Loss  0.869027, Time  0.366439
2021-09-10 04:58:32.674863 : Epoch  8, Batch   3698, Loss  0.848053, Average Loss  0.868901, Time  0.366435
2021-09-10 04:58:34.477876 : Epoch  8, Batch   3699, Loss  0.852816, Average Loss  0.868782, Time  0.357754
2021-09-10 04:58:36.309778 : Epoch  8, Batch   3700, Loss  0.882331, Average Loss  0.868723, Time  0.363264
2021-09-10 04:58:38.113900 : Epoch  8, Batch   3701, Loss  0.851074, Average Loss  0.868726, Time  0.358839
2021-09-10 04:58:39.928764 : Epoch  8, Batch   3702, Loss  0.855635, Average Loss  0.868716, Time  0.359635
2021-09-10 04:58:41.729088 : Epoch  8, Batch   3703, Loss  0.890997, Average Loss  0.868646, Time  0.359091
2021-09-10 04:58:43.525232 : Epoch  8, Batch   3704, Loss  0.891255, Average Loss  0.868758, Time  0.364169
2021-09-10 04:58:45.324829 : Epoch  8, Batch   3705, Loss  0.862647, Average Loss  0.868662, Time  0.360042
2021-09-10 04:58:47.142955 : Epoch  8, Batch   3706, Loss  0.843033, Average Loss  0.868555, Time  0.360904
2021-09-10 04:58:48.930076 : Epoch  8, Batch   3707, Loss  0.884128, Average Loss  0.868653, Time  0.358675
2021-09-10 04:58:50.734892 : Epoch  8, Batch   3708, Loss  0.880257, Average Loss  0.868738, Time  0.367236
2021-09-10 04:58:52.511866 : Epoch  8, Batch   3709, Loss  0.861891, Average Loss  0.868669, Time  0.358586
2021-09-10 04:58:54.321132 : Epoch  8, Batch   3710, Loss  0.898992, Average Loss  0.868786, Time  0.374330
2021-09-10 04:58:56.106092 : Epoch  8, Batch   3711, Loss  0.866570, Average Loss  0.868688, Time  0.358119
2021-09-10 04:58:56.173980 : Saving Model after 8-th Epoch.
2021-09-10 04:59:00.308670 : Epoch Finished.
2021-09-10 04:59:05.873656 : Batch Shuffled
2021-09-10 04:59:07.687936 : Epoch  9, Batch      1, Loss  0.864850, Average Loss  0.868656, Time  0.368931
2021-09-10 04:59:09.482085 : Epoch  9, Batch      2, Loss  0.890832, Average Loss  0.868763, Time  0.354238
2021-09-10 04:59:11.284081 : Epoch  9, Batch      3, Loss  0.859649, Average Loss  0.868702, Time  0.357310
2021-09-10 04:59:13.112777 : Epoch  9, Batch      4, Loss  0.897584, Average Loss  0.868827, Time  0.356821
2021-09-10 04:59:14.914920 : Epoch  9, Batch      5, Loss  0.893148, Average Loss  0.868955, Time  0.357247
2021-09-10 04:59:16.732082 : Epoch  9, Batch      6, Loss  0.814777, Average Loss  0.868779, Time  0.358657
2021-09-10 04:59:18.536950 : Epoch  9, Batch      7, Loss  0.871108, Average Loss  0.868718, Time  0.355221
2021-09-10 04:59:20.393799 : Epoch  9, Batch      8, Loss  0.862970, Average Loss  0.868707, Time  0.356451
2021-09-10 04:59:22.221762 : Epoch  9, Batch      9, Loss  0.822467, Average Loss  0.868350, Time  0.356427
2021-09-10 04:59:24.017161 : Epoch  9, Batch     10, Loss  0.884513, Average Loss  0.868494, Time  0.356561
2021-09-10 04:59:25.820780 : Epoch  9, Batch     11, Loss  0.844837, Average Loss  0.868464, Time  0.356688
2021-09-10 04:59:27.645905 : Epoch  9, Batch     12, Loss  0.852457, Average Loss  0.868190, Time  0.359394
2021-09-10 05:04:17.775709 : CheckPoint: Validation Loss  0.00061430, Best Loss  0.00056427
2021-09-10 05:04:19.580767 : Epoch  9, Batch     13, Loss  0.853831, Average Loss  0.867981, Time  0.357527
2021-09-10 05:04:21.410779 : Epoch  9, Batch     14, Loss  0.851824, Average Loss  0.867889, Time  0.388615
2021-09-10 05:04:23.313066 : Epoch  9, Batch     15, Loss  0.868195, Average Loss  0.867935, Time  0.451839
2021-09-10 05:04:25.137766 : Epoch  9, Batch     16, Loss  0.907912, Average Loss  0.868198, Time  0.372188
2021-09-10 05:04:26.918434 : Epoch  9, Batch     17, Loss  0.867979, Average Loss  0.868336, Time  0.358716
2021-09-10 05:04:28.714839 : Epoch  9, Batch     18, Loss  0.863314, Average Loss  0.868265, Time  0.359269
2021-09-10 05:04:30.610505 : Epoch  9, Batch     19, Loss  0.863026, Average Loss  0.868227, Time  0.456817
2021-09-10 05:04:32.483024 : Epoch  9, Batch     20, Loss  0.880811, Average Loss  0.868171, Time  0.448952
2021-09-10 05:04:34.250850 : Epoch  9, Batch     21, Loss  0.863811, Average Loss  0.868275, Time  0.362167
2021-09-10 05:04:36.045774 : Epoch  9, Batch     22, Loss  0.871806, Average Loss  0.868360, Time  0.356817
2021-09-10 05:04:37.930086 : Epoch  9, Batch     23, Loss  0.877667, Average Loss  0.868402, Time  0.453454
2021-09-10 05:04:39.820771 : Epoch  9, Batch     24, Loss  0.856947, Average Loss  0.868369, Time  0.447887
2021-09-10 05:04:41.613091 : Epoch  9, Batch     25, Loss  0.860679, Average Loss  0.868375, Time  0.362233
2021-09-10 05:04:43.421764 : Epoch  9, Batch     26, Loss  0.869023, Average Loss  0.868553, Time  0.357573
2021-09-10 05:04:45.239088 : Epoch  9, Batch     27, Loss  0.863385, Average Loss  0.868752, Time  0.390837
2021-09-10 05:04:47.123811 : Epoch  9, Batch     28, Loss  0.857091, Average Loss  0.868715, Time  0.459262
2021-09-10 05:04:48.894226 : Epoch  9, Batch     29, Loss  0.905038, Average Loss  0.868874, Time  0.358659
2021-09-10 05:04:50.675777 : Epoch  9, Batch     30, Loss  0.826540, Average Loss  0.868567, Time  0.356507
2021-09-10 05:04:52.502065 : Epoch  9, Batch     31, Loss  0.857330, Average Loss  0.868570, Time  0.384575
2021-09-10 05:04:54.387776 : Epoch  9, Batch     32, Loss  0.855594, Average Loss  0.868396, Time  0.457015
2021-09-10 05:04:56.217804 : Epoch  9, Batch     33, Loss  0.871763, Average Loss  0.868389, Time  0.379574
2021-09-10 05:04:58.002762 : Epoch  9, Batch     34, Loss  0.862080, Average Loss  0.868318, Time  0.356209
2021-09-10 05:04:59.801839 : Epoch  9, Batch     35, Loss  0.888821, Average Loss  0.868471, Time  0.364981
2021-09-10 05:05:01.679774 : Epoch  9, Batch     36, Loss  0.841526, Average Loss  0.868260, Time  0.451854
2021-09-10 05:05:03.629797 : Epoch  9, Batch     37, Loss  0.866255, Average Loss  0.868390, Time  0.471627
2021-09-10 05:05:05.408843 : Epoch  9, Batch     38, Loss  0.861549, Average Loss  0.868217, Time  0.365799
2021-09-10 05:05:07.195778 : Epoch  9, Batch     39, Loss  0.837791, Average Loss  0.868028, Time  0.357126
2021-09-10 05:05:09.035773 : Epoch  9, Batch     40, Loss  0.837517, Average Loss  0.867902, Time  0.387751
2021-09-10 05:05:10.924763 : Epoch  9, Batch     41, Loss  0.854355, Average Loss  0.867823, Time  0.455815
2021-09-10 05:05:12.717080 : Epoch  9, Batch     42, Loss  0.885091, Average Loss  0.867915, Time  0.363369
2021-09-10 05:05:14.499861 : Epoch  9, Batch     43, Loss  0.855103, Average Loss  0.867898, Time  0.362033
2021-09-10 05:05:16.307777 : Epoch  9, Batch     44, Loss  0.889729, Average Loss  0.868040, Time  0.381309
2021-09-10 05:05:18.209098 : Epoch  9, Batch     45, Loss  0.870388, Average Loss  0.868057, Time  0.450430
2021-09-10 05:05:20.045099 : Epoch  9, Batch     46, Loss  0.858676, Average Loss  0.867973, Time  0.409345
2021-09-10 05:05:21.819767 : Epoch  9, Batch     47, Loss  0.847707, Average Loss  0.867906, Time  0.358114
2021-09-10 05:05:23.602092 : Epoch  9, Batch     48, Loss  0.907803, Average Loss  0.868121, Time  0.355686
2021-09-10 05:05:25.474231 : Epoch  9, Batch     49, Loss  0.849164, Average Loss  0.867951, Time  0.440553
2021-09-10 05:05:27.346950 : Epoch  9, Batch     50, Loss  0.879266, Average Loss  0.868084, Time  0.453176
2021-09-10 05:05:29.115204 : Epoch  9, Batch     51, Loss  0.872262, Average Loss  0.868009, Time  0.357355
2021-09-10 05:05:30.896802 : Epoch  9, Batch     52, Loss  0.868470, Average Loss  0.867960, Time  0.356669
2021-09-10 05:05:32.714816 : Epoch  9, Batch     53, Loss  0.885035, Average Loss  0.868106, Time  0.393191
2021-09-10 05:05:34.600781 : Epoch  9, Batch     54, Loss  0.894638, Average Loss  0.868147, Time  0.461938
2021-09-10 05:05:36.381764 : Epoch  9, Batch     55, Loss  0.864652, Average Loss  0.868208, Time  0.355283
2021-09-10 05:05:38.169776 : Epoch  9, Batch     56, Loss  0.873226, Average Loss  0.868355, Time  0.362143
2021-09-10 05:05:39.952854 : Epoch  9, Batch     57, Loss  0.838432, Average Loss  0.868286, Time  0.368057
2021-09-10 05:05:41.857894 : Epoch  9, Batch     58, Loss  0.912652, Average Loss  0.868390, Time  0.451094
2021-09-10 05:05:43.629002 : Epoch  9, Batch     59, Loss  0.857009, Average Loss  0.868311, Time  0.352544
2021-09-10 05:05:45.396803 : Epoch  9, Batch     60, Loss  0.880588, Average Loss  0.868110, Time  0.358530
2021-09-10 05:05:47.176777 : Epoch  9, Batch     61, Loss  0.878777, Average Loss  0.868234, Time  0.366895
2021-09-10 05:05:49.068054 : Epoch  9, Batch     62, Loss  0.844264, Average Loss  0.868127, Time  0.448239
2021-09-10 05:05:50.833810 : Epoch  9, Batch     63, Loss  0.876602, Average Loss  0.868205, Time  0.335297
2021-09-10 05:05:52.604950 : Epoch  9, Batch     64, Loss  0.873018, Average Loss  0.868247, Time  0.359543
2021-09-10 05:05:54.381097 : Epoch  9, Batch     65, Loss  0.870138, Average Loss  0.868347, Time  0.367841
2021-09-10 05:05:56.252103 : Epoch  9, Batch     66, Loss  0.900465, Average Loss  0.868458, Time  0.451515
2021-09-10 05:05:58.039900 : Epoch  9, Batch     67, Loss  0.857477, Average Loss  0.868463, Time  0.364401
2021-09-10 05:05:59.824855 : Epoch  9, Batch     68, Loss  0.861374, Average Loss  0.868449, Time  0.357800
2021-09-10 05:06:01.638109 : Epoch  9, Batch     69, Loss  0.869566, Average Loss  0.868429, Time  0.372733
2021-09-10 05:06:03.518821 : Epoch  9, Batch     70, Loss  0.849413, Average Loss  0.868402, Time  0.451751
2021-09-10 05:06:05.278608 : Epoch  9, Batch     71, Loss  0.885261, Average Loss  0.868518, Time  0.348866
2021-09-10 05:06:07.064775 : Epoch  9, Batch     72, Loss  0.866286, Average Loss  0.868423, Time  0.360577
2021-09-10 05:06:08.850287 : Epoch  9, Batch     73, Loss  0.833859, Average Loss  0.868286, Time  0.363602
2021-09-10 05:06:10.735080 : Epoch  9, Batch     74, Loss  0.862890, Average Loss  0.868277, Time  0.453172
2021-09-10 05:06:12.519783 : Epoch  9, Batch     75, Loss  0.877451, Average Loss  0.868360, Time  0.356266
2021-09-10 05:06:14.307260 : Epoch  9, Batch     76, Loss  0.866665, Average Loss  0.868377, Time  0.363077
2021-09-10 05:06:16.103774 : Epoch  9, Batch     77, Loss  0.881688, Average Loss  0.868397, Time  0.370774
2021-09-10 05:06:18.001235 : Epoch  9, Batch     78, Loss  0.850196, Average Loss  0.868394, Time  0.453963
2021-09-10 05:06:19.781203 : Epoch  9, Batch     79, Loss  0.872479, Average Loss  0.868495, Time  0.354733
2021-09-10 05:06:21.551774 : Epoch  9, Batch     80, Loss  0.901635, Average Loss  0.868732, Time  0.362159
2021-09-10 05:06:23.341952 : Epoch  9, Batch     81, Loss  0.918290, Average Loss  0.869082, Time  0.381960
2021-09-10 05:06:25.249775 : Epoch  9, Batch     82, Loss  0.894682, Average Loss  0.869270, Time  0.462984
2021-09-10 05:06:27.082521 : Epoch  9, Batch     83, Loss  0.862897, Average Loss  0.869214, Time  0.414198
2021-09-10 05:06:28.890857 : Epoch  9, Batch     84, Loss  0.869802, Average Loss  0.869286, Time  0.356765
2021-09-10 05:06:30.648170 : Epoch  9, Batch     85, Loss  0.854601, Average Loss  0.869179, Time  0.360128
2021-09-10 05:06:32.555849 : Epoch  9, Batch     86, Loss  0.857539, Average Loss  0.869103, Time  0.449077
2021-09-10 05:06:34.439774 : Epoch  9, Batch     87, Loss  0.841661, Average Loss  0.868972, Time  0.463459
2021-09-10 05:06:36.216780 : Epoch  9, Batch     88, Loss  0.857788, Average Loss  0.868911, Time  0.356928
2021-09-10 05:06:38.029973 : Epoch  9, Batch     89, Loss  0.887785, Average Loss  0.868900, Time  0.357171
2021-09-10 05:06:39.831778 : Epoch  9, Batch     90, Loss  0.861509, Average Loss  0.869116, Time  0.367560
2021-09-10 05:06:41.713773 : Epoch  9, Batch     91, Loss  0.860010, Average Loss  0.869071, Time  0.452082
2021-09-10 05:06:43.498781 : Epoch  9, Batch     92, Loss  0.877531, Average Loss  0.868961, Time  0.355616
2021-09-10 05:06:45.301075 : Epoch  9, Batch     93, Loss  0.893268, Average Loss  0.869042, Time  0.357860
2021-09-10 05:06:47.086763 : Epoch  9, Batch     94, Loss  0.880776, Average Loss  0.869128, Time  0.359825
2021-09-10 05:06:48.971794 : Epoch  9, Batch     95, Loss  0.901216, Average Loss  0.869319, Time  0.449572
2021-09-10 05:06:50.763827 : Epoch  9, Batch     96, Loss  0.864177, Average Loss  0.869477, Time  0.356818
2021-09-10 05:06:52.541778 : Epoch  9, Batch     97, Loss  0.863587, Average Loss  0.869429, Time  0.364569
2021-09-10 05:06:54.347095 : Epoch  9, Batch     98, Loss  0.860240, Average Loss  0.869144, Time  0.368038
2021-09-10 05:06:56.228761 : Epoch  9, Batch     99, Loss  0.851089, Average Loss  0.869096, Time  0.462519
2021-09-10 05:06:58.014185 : Epoch  9, Batch    100, Loss  0.855912, Average Loss  0.869054, Time  0.358343
2021-09-10 05:06:59.818778 : Epoch  9, Batch    101, Loss  0.859234, Average Loss  0.869043, Time  0.357274
2021-09-10 05:07:01.610935 : Epoch  9, Batch    102, Loss  0.870309, Average Loss  0.869075, Time  0.361497
2021-09-10 05:07:03.402762 : Epoch  9, Batch    103, Loss  0.872505, Average Loss  0.868986, Time  0.428237
2021-09-10 05:07:05.192236 : Epoch  9, Batch    104, Loss  0.872211, Average Loss  0.869071, Time  0.362448
2021-09-10 05:07:06.981095 : Epoch  9, Batch    105, Loss  0.871384, Average Loss  0.868997, Time  0.357190
2021-09-10 05:07:08.801179 : Epoch  9, Batch    106, Loss  0.875049, Average Loss  0.868904, Time  0.399841
2021-09-10 05:07:10.699917 : Epoch  9, Batch    107, Loss  0.896989, Average Loss  0.869109, Time  0.453909
2021-09-10 05:07:12.522821 : Epoch  9, Batch    108, Loss  0.850435, Average Loss  0.868960, Time  0.372516
2021-09-10 05:07:14.332780 : Epoch  9, Batch    109, Loss  0.858549, Average Loss  0.868932, Time  0.357619
2021-09-10 05:07:16.114776 : Epoch  9, Batch    110, Loss  0.858415, Average Loss  0.868903, Time  0.356156
2021-09-10 05:07:18.012781 : Epoch  9, Batch    111, Loss  0.849270, Average Loss  0.868782, Time  0.449691
2021-09-10 05:07:19.964769 : Epoch  9, Batch    112, Loss  0.866440, Average Loss  0.868796, Time  0.449825
2021-09-10 05:12:09.570708 : CheckPoint: Validation Loss  0.00060833, Best Loss  0.00056427
2021-09-10 05:12:11.408781 : Epoch  9, Batch    113, Loss  0.870838, Average Loss  0.868841, Time  0.412719
2021-09-10 05:12:13.205782 : Epoch  9, Batch    114, Loss  0.877489, Average Loss  0.868888, Time  0.359839
2021-09-10 05:12:15.039903 : Epoch  9, Batch    115, Loss  0.888333, Average Loss  0.868905, Time  0.404818
2021-09-10 05:12:16.839779 : Epoch  9, Batch    116, Loss  0.865648, Average Loss  0.869007, Time  0.357220
2021-09-10 05:12:18.628629 : Epoch  9, Batch    117, Loss  0.864689, Average Loss  0.869001, Time  0.374976
2021-09-10 05:12:20.436766 : Epoch  9, Batch    118, Loss  0.870500, Average Loss  0.868845, Time  0.362548
2021-09-10 05:12:22.256671 : Epoch  9, Batch    119, Loss  0.860722, Average Loss  0.868754, Time  0.363424
2021-09-10 05:12:24.047817 : Epoch  9, Batch    120, Loss  0.838781, Average Loss  0.868573, Time  0.360225
2021-09-10 05:12:25.831095 : Epoch  9, Batch    121, Loss  0.858034, Average Loss  0.868392, Time  0.365814
2021-09-10 05:12:27.602781 : Epoch  9, Batch    122, Loss  0.855775, Average Loss  0.868392, Time  0.361844
2021-09-10 05:12:29.419072 : Epoch  9, Batch    123, Loss  0.864506, Average Loss  0.868442, Time  0.370519
2021-09-10 05:12:31.229780 : Epoch  9, Batch    124, Loss  0.880091, Average Loss  0.868423, Time  0.360578
2021-09-10 05:12:33.040774 : Epoch  9, Batch    125, Loss  0.863781, Average Loss  0.868570, Time  0.368790
2021-09-10 05:12:34.843942 : Epoch  9, Batch    126, Loss  0.857167, Average Loss  0.868449, Time  0.356315
2021-09-10 05:12:36.650779 : Epoch  9, Batch    127, Loss  0.872212, Average Loss  0.868419, Time  0.364759
2021-09-10 05:12:38.444081 : Epoch  9, Batch    128, Loss  0.872600, Average Loss  0.868498, Time  0.358562
2021-09-10 05:12:40.280775 : Epoch  9, Batch    129, Loss  0.880141, Average Loss  0.868517, Time  0.359922
2021-09-10 05:12:42.081778 : Epoch  9, Batch    130, Loss  0.864651, Average Loss  0.868444, Time  0.359347
2021-09-10 05:12:43.897776 : Epoch  9, Batch    131, Loss  0.843359, Average Loss  0.868315, Time  0.361530
2021-09-10 05:12:45.707800 : Epoch  9, Batch    132, Loss  0.861722, Average Loss  0.868399, Time  0.359734
2021-09-10 05:12:47.515079 : Epoch  9, Batch    133, Loss  0.863523, Average Loss  0.868251, Time  0.363331
2021-09-10 05:12:49.297818 : Epoch  9, Batch    134, Loss  0.859926, Average Loss  0.868072, Time  0.358784
2021-09-10 05:12:51.109080 : Epoch  9, Batch    135, Loss  0.866872, Average Loss  0.868071, Time  0.368439
2021-09-10 05:12:52.897773 : Epoch  9, Batch    136, Loss  0.884479, Average Loss  0.868092, Time  0.358799
2021-09-10 05:12:54.708780 : Epoch  9, Batch    137, Loss  0.889693, Average Loss  0.868129, Time  0.364551
2021-09-10 05:12:56.516075 : Epoch  9, Batch    138, Loss  0.901645, Average Loss  0.868436, Time  0.358629
2021-09-10 05:12:58.328779 : Epoch  9, Batch    139, Loss  0.891616, Average Loss  0.868499, Time  0.363934
2021-09-10 05:13:00.125940 : Epoch  9, Batch    140, Loss  0.879244, Average Loss  0.868386, Time  0.357857
2021-09-10 05:13:01.926774 : Epoch  9, Batch    141, Loss  0.873928, Average Loss  0.868355, Time  0.362845
2021-09-10 05:13:03.726082 : Epoch  9, Batch    142, Loss  0.848935, Average Loss  0.868252, Time  0.357373
2021-09-10 05:13:05.516775 : Epoch  9, Batch    143, Loss  0.858304, Average Loss  0.868167, Time  0.368508
2021-09-10 05:13:07.315780 : Epoch  9, Batch    144, Loss  0.856952, Average Loss  0.868035, Time  0.360628
2021-09-10 05:13:09.124935 : Epoch  9, Batch    145, Loss  0.857836, Average Loss  0.867789, Time  0.367026
2021-09-10 05:13:10.951768 : Epoch  9, Batch    146, Loss  0.873294, Average Loss  0.867791, Time  0.358432
2021-09-10 05:13:12.734776 : Epoch  9, Batch    147, Loss  0.846648, Average Loss  0.867535, Time  0.363939
2021-09-10 05:13:14.532806 : Epoch  9, Batch    148, Loss  0.884684, Average Loss  0.867701, Time  0.358711
2021-09-10 05:13:16.336769 : Epoch  9, Batch    149, Loss  0.856366, Average Loss  0.867566, Time  0.364084
2021-09-10 05:13:18.142775 : Epoch  9, Batch    150, Loss  0.888290, Average Loss  0.867858, Time  0.359793
2021-09-10 05:13:19.930090 : Epoch  9, Batch    151, Loss  0.851497, Average Loss  0.867630, Time  0.363020
2021-09-10 05:13:21.725780 : Epoch  9, Batch    152, Loss  0.877591, Average Loss  0.867594, Time  0.358807
2021-09-10 05:13:23.544083 : Epoch  9, Batch    153, Loss  0.878221, Average Loss  0.867506, Time  0.367063
2021-09-10 05:13:25.346764 : Epoch  9, Batch    154, Loss  0.871492, Average Loss  0.867529, Time  0.359017
2021-09-10 05:13:27.155780 : Epoch  9, Batch    155, Loss  0.884457, Average Loss  0.867744, Time  0.366569
2021-09-10 05:13:28.964765 : Epoch  9, Batch    156, Loss  0.865551, Average Loss  0.867656, Time  0.357192
2021-09-10 05:13:30.747862 : Epoch  9, Batch    157, Loss  0.885179, Average Loss  0.867800, Time  0.366861
2021-09-10 05:13:32.538764 : Epoch  9, Batch    158, Loss  0.870982, Average Loss  0.867819, Time  0.364667
2021-09-10 05:13:34.361815 : Epoch  9, Batch    159, Loss  0.873333, Average Loss  0.867817, Time  0.380467
2021-09-10 05:13:36.153761 : Epoch  9, Batch    160, Loss  0.869632, Average Loss  0.867922, Time  0.364055
2021-09-10 05:13:37.957935 : Epoch  9, Batch    161, Loss  0.874368, Average Loss  0.868016, Time  0.376108
2021-09-10 05:13:39.732771 : Epoch  9, Batch    162, Loss  0.895295, Average Loss  0.868188, Time  0.360801
2021-09-10 05:13:41.527077 : Epoch  9, Batch    163, Loss  0.854801, Average Loss  0.868110, Time  0.371764
2021-09-10 05:13:43.348763 : Epoch  9, Batch    164, Loss  0.865096, Average Loss  0.868012, Time  0.359054
2021-09-10 05:13:45.158806 : Epoch  9, Batch    165, Loss  0.876858, Average Loss  0.868147, Time  0.359034
2021-09-10 05:13:46.965820 : Epoch  9, Batch    166, Loss  0.858601, Average Loss  0.868035, Time  0.359690
2021-09-10 05:13:48.772115 : Epoch  9, Batch    167, Loss  0.862671, Average Loss  0.868038, Time  0.365935
2021-09-10 05:13:50.551887 : Epoch  9, Batch    168, Loss  0.867666, Average Loss  0.868095, Time  0.366243
2021-09-10 05:13:52.344774 : Epoch  9, Batch    169, Loss  0.869352, Average Loss  0.868148, Time  0.370799
2021-09-10 05:13:54.122814 : Epoch  9, Batch    170, Loss  0.849360, Average Loss  0.868097, Time  0.356753
2021-09-10 05:13:55.923103 : Epoch  9, Batch    171, Loss  0.864630, Average Loss  0.868075, Time  0.373717
2021-09-10 05:13:57.703762 : Epoch  9, Batch    172, Loss  0.849485, Average Loss  0.867983, Time  0.359493
2021-09-10 05:13:59.503111 : Epoch  9, Batch    173, Loss  0.854738, Average Loss  0.867993, Time  0.371782
2021-09-10 05:14:01.294780 : Epoch  9, Batch    174, Loss  0.868341, Average Loss  0.867935, Time  0.359441
2021-09-10 05:14:03.079413 : Epoch  9, Batch    175, Loss  0.902212, Average Loss  0.868008, Time  0.371206
2021-09-10 05:14:04.876776 : Epoch  9, Batch    176, Loss  0.880461, Average Loss  0.868056, Time  0.357423
2021-09-10 05:14:06.678039 : Epoch  9, Batch    177, Loss  0.856972, Average Loss  0.867996, Time  0.368055
2021-09-10 05:14:08.470763 : Epoch  9, Batch    178, Loss  0.888753, Average Loss  0.868167, Time  0.359666
2021-09-10 05:14:10.285098 : Epoch  9, Batch    179, Loss  0.887554, Average Loss  0.868189, Time  0.385713
2021-09-10 05:14:12.109773 : Epoch  9, Batch    180, Loss  0.869645, Average Loss  0.868191, Time  0.358815
2021-09-10 05:14:13.904076 : Epoch  9, Batch    181, Loss  0.876687, Average Loss  0.868424, Time  0.359922
2021-09-10 05:14:15.716807 : Epoch  9, Batch    182, Loss  0.891333, Average Loss  0.868637, Time  0.357063
2021-09-10 05:14:17.516094 : Epoch  9, Batch    183, Loss  0.860224, Average Loss  0.868425, Time  0.370211
2021-09-10 05:14:19.307259 : Epoch  9, Batch    184, Loss  0.871912, Average Loss  0.868464, Time  0.360869
2021-09-10 05:14:21.101185 : Epoch  9, Batch    185, Loss  0.857450, Average Loss  0.868287, Time  0.367513
2021-09-10 05:14:22.901782 : Epoch  9, Batch    186, Loss  0.869362, Average Loss  0.868510, Time  0.358710
2021-09-10 05:14:24.708073 : Epoch  9, Batch    187, Loss  0.860035, Average Loss  0.868569, Time  0.362057
2021-09-10 05:14:26.499808 : Epoch  9, Batch    188, Loss  0.893600, Average Loss  0.868773, Time  0.359227
2021-09-10 05:14:28.300077 : Epoch  9, Batch    189, Loss  0.869713, Average Loss  0.868710, Time  0.363449
2021-09-10 05:14:30.094770 : Epoch  9, Batch    190, Loss  0.879081, Average Loss  0.868850, Time  0.359660
2021-09-10 05:14:31.895904 : Epoch  9, Batch    191, Loss  0.846974, Average Loss  0.868807, Time  0.364423
2021-09-10 05:14:33.713067 : Epoch  9, Batch    192, Loss  0.849717, Average Loss  0.868601, Time  0.357626
2021-09-10 05:14:35.510235 : Epoch  9, Batch    193, Loss  0.874238, Average Loss  0.868516, Time  0.376441
2021-09-10 05:14:37.305807 : Epoch  9, Batch    194, Loss  0.857603, Average Loss  0.868490, Time  0.363302
2021-09-10 05:14:39.099179 : Epoch  9, Batch    195, Loss  0.846077, Average Loss  0.868506, Time  0.364893
2021-09-10 05:14:40.897058 : Epoch  9, Batch    196, Loss  0.843991, Average Loss  0.868305, Time  0.358465
2021-09-10 05:14:42.705780 : Epoch  9, Batch    197, Loss  0.869964, Average Loss  0.868253, Time  0.364257
2021-09-10 05:14:44.494144 : Epoch  9, Batch    198, Loss  0.871302, Average Loss  0.868300, Time  0.357065
2021-09-10 05:14:46.323757 : Epoch  9, Batch    199, Loss  0.847011, Average Loss  0.868041, Time  0.377649
2021-09-10 05:14:48.105773 : Epoch  9, Batch    200, Loss  0.883260, Average Loss  0.868124, Time  0.368910
2021-09-10 05:14:49.885107 : Epoch  9, Batch    201, Loss  0.870432, Average Loss  0.868152, Time  0.372806
2021-09-10 05:14:51.681782 : Epoch  9, Batch    202, Loss  0.886683, Average Loss  0.868131, Time  0.358990
2021-09-10 05:14:53.452854 : Epoch  9, Batch    203, Loss  0.870119, Average Loss  0.868183, Time  0.369677
2021-09-10 05:14:55.243007 : Epoch  9, Batch    204, Loss  0.837111, Average Loss  0.867881, Time  0.368580
2021-09-10 05:14:57.058809 : Epoch  9, Batch    205, Loss  0.886552, Average Loss  0.867848, Time  0.371843
2021-09-10 05:14:58.832944 : Epoch  9, Batch    206, Loss  0.860165, Average Loss  0.868075, Time  0.358269
2021-09-10 05:15:00.647774 : Epoch  9, Batch    207, Loss  0.877631, Average Loss  0.868108, Time  0.365806
2021-09-10 05:15:02.453964 : Epoch  9, Batch    208, Loss  0.833961, Average Loss  0.867963, Time  0.359215
2021-09-10 05:15:04.266939 : Epoch  9, Batch    209, Loss  0.852456, Average Loss  0.868113, Time  0.362699
2021-09-10 05:15:06.077800 : Epoch  9, Batch    210, Loss  0.887927, Average Loss  0.868130, Time  0.358566
2021-09-10 05:15:07.888778 : Epoch  9, Batch    211, Loss  0.863185, Average Loss  0.868221, Time  0.363201
2021-09-10 05:15:09.677902 : Epoch  9, Batch    212, Loss  0.858635, Average Loss  0.868252, Time  0.358945
2021-09-10 05:19:58.725717 : CheckPoint: Validation Loss  0.00060717, Best Loss  0.00056427
2021-09-10 05:20:00.500780 : Epoch  9, Batch    213, Loss  0.872983, Average Loss  0.868348, Time  0.363521
2021-09-10 05:20:02.297759 : Epoch  9, Batch    214, Loss  0.883032, Average Loss  0.868504, Time  0.357793
2021-09-10 05:20:04.071864 : Epoch  9, Batch    215, Loss  0.861770, Average Loss  0.868472, Time  0.356443
2021-09-10 05:20:05.871224 : Epoch  9, Batch    216, Loss  0.868039, Average Loss  0.868273, Time  0.357326
2021-09-10 05:20:07.649756 : Epoch  9, Batch    217, Loss  0.856016, Average Loss  0.868213, Time  0.356542
2021-09-10 05:20:09.435762 : Epoch  9, Batch    218, Loss  0.856121, Average Loss  0.868177, Time  0.359148
2021-09-10 05:20:11.239759 : Epoch  9, Batch    219, Loss  0.858434, Average Loss  0.868154, Time  0.373357
2021-09-10 05:20:13.054100 : Epoch  9, Batch    220, Loss  0.889897, Average Loss  0.868199, Time  0.360265
2021-09-10 05:20:14.836771 : Epoch  9, Batch    221, Loss  0.838564, Average Loss  0.868073, Time  0.372897
2021-09-10 05:20:16.651226 : Epoch  9, Batch    222, Loss  0.899126, Average Loss  0.868210, Time  0.363616
2021-09-10 05:20:18.450776 : Epoch  9, Batch    223, Loss  0.892847, Average Loss  0.868286, Time  0.358817
2021-09-10 05:20:20.243797 : Epoch  9, Batch    224, Loss  0.857471, Average Loss  0.868288, Time  0.361703
2021-09-10 05:20:22.026178 : Epoch  9, Batch    225, Loss  0.880235, Average Loss  0.868386, Time  0.366597
2021-09-10 05:20:23.813086 : Epoch  9, Batch    226, Loss  0.857717, Average Loss  0.868329, Time  0.358704
2021-09-10 05:20:25.606786 : Epoch  9, Batch    227, Loss  0.819363, Average Loss  0.868109, Time  0.373071
2021-09-10 05:20:27.418782 : Epoch  9, Batch    228, Loss  0.877087, Average Loss  0.868209, Time  0.357834
2021-09-10 05:20:29.218893 : Epoch  9, Batch    229, Loss  0.861575, Average Loss  0.867992, Time  0.361855
2021-09-10 05:20:31.009779 : Epoch  9, Batch    230, Loss  0.850057, Average Loss  0.868110, Time  0.359382
2021-09-10 05:20:32.824076 : Epoch  9, Batch    231, Loss  0.853319, Average Loss  0.868090, Time  0.368676
2021-09-10 05:20:34.629801 : Epoch  9, Batch    232, Loss  0.860955, Average Loss  0.868116, Time  0.360529
2021-09-10 05:20:36.461923 : Epoch  9, Batch    233, Loss  0.859133, Average Loss  0.868053, Time  0.362727
2021-09-10 05:20:38.280068 : Epoch  9, Batch    234, Loss  0.896867, Average Loss  0.868227, Time  0.359529
2021-09-10 05:20:40.075804 : Epoch  9, Batch    235, Loss  0.865062, Average Loss  0.868108, Time  0.360027
2021-09-10 05:20:41.878856 : Epoch  9, Batch    236, Loss  0.864709, Average Loss  0.868224, Time  0.356714
2021-09-10 05:20:43.677878 : Epoch  9, Batch    237, Loss  0.868257, Average Loss  0.868234, Time  0.367559
2021-09-10 05:20:45.469407 : Epoch  9, Batch    238, Loss  0.890057, Average Loss  0.868377, Time  0.367795
2021-09-10 05:20:47.277959 : Epoch  9, Batch    239, Loss  0.866511, Average Loss  0.868520, Time  0.364298
2021-09-10 05:20:49.057929 : Epoch  9, Batch    240, Loss  0.851844, Average Loss  0.868592, Time  0.359650
2021-09-10 05:20:50.847150 : Epoch  9, Batch    241, Loss  0.856787, Average Loss  0.868604, Time  0.375047
2021-09-10 05:20:52.617843 : Epoch  9, Batch    242, Loss  0.860944, Average Loss  0.868483, Time  0.356671
2021-09-10 05:20:54.445785 : Epoch  9, Batch    243, Loss  0.863084, Average Loss  0.868523, Time  0.384587
2021-09-10 05:20:56.232929 : Epoch  9, Batch    244, Loss  0.861578, Average Loss  0.868383, Time  0.368119
2021-09-10 05:20:58.019780 : Epoch  9, Batch    245, Loss  0.829958, Average Loss  0.868180, Time  0.367476
2021-09-10 05:20:59.862768 : Epoch  9, Batch    246, Loss  0.863518, Average Loss  0.868205, Time  0.359144
2021-09-10 05:21:01.646086 : Epoch  9, Batch    247, Loss  0.872792, Average Loss  0.868330, Time  0.361144
2021-09-10 05:21:03.450766 : Epoch  9, Batch    248, Loss  0.867464, Average Loss  0.868128, Time  0.358826
2021-09-10 05:21:05.230826 : Epoch  9, Batch    249, Loss  0.903539, Average Loss  0.868400, Time  0.368339
2021-09-10 05:21:07.008777 : Epoch  9, Batch    250, Loss  0.871481, Average Loss  0.868361, Time  0.358560
2021-09-10 05:21:08.793459 : Epoch  9, Batch    251, Loss  0.869890, Average Loss  0.868349, Time  0.372072
2021-09-10 05:21:10.582848 : Epoch  9, Batch    252, Loss  0.860279, Average Loss  0.868309, Time  0.357476
2021-09-10 05:21:12.394829 : Epoch  9, Batch    253, Loss  0.848108, Average Loss  0.868124, Time  0.371124
2021-09-10 05:21:14.197066 : Epoch  9, Batch    254, Loss  0.863315, Average Loss  0.867967, Time  0.358919
2021-09-10 05:21:16.012066 : Epoch  9, Batch    255, Loss  0.866590, Average Loss  0.867977, Time  0.364649
2021-09-10 05:21:17.813027 : Epoch  9, Batch    256, Loss  0.912351, Average Loss  0.868173, Time  0.367680
2021-09-10 05:21:19.598089 : Epoch  9, Batch    257, Loss  0.872047, Average Loss  0.868341, Time  0.363725
2021-09-10 05:21:21.367234 : Epoch  9, Batch    258, Loss  0.882088, Average Loss  0.868188, Time  0.357874
2021-09-10 05:21:23.154770 : Epoch  9, Batch    259, Loss  0.913742, Average Loss  0.868471, Time  0.378586
2021-09-10 05:21:24.928072 : Epoch  9, Batch    260, Loss  0.850477, Average Loss  0.868321, Time  0.356519
2021-09-10 05:21:26.727099 : Epoch  9, Batch    261, Loss  0.839946, Average Loss  0.868127, Time  0.376055
2021-09-10 05:21:28.519109 : Epoch  9, Batch    262, Loss  0.868747, Average Loss  0.868249, Time  0.364813
2021-09-10 05:21:30.316776 : Epoch  9, Batch    263, Loss  0.871317, Average Loss  0.868223, Time  0.367836
2021-09-10 05:21:32.121056 : Epoch  9, Batch    264, Loss  0.844694, Average Loss  0.868081, Time  0.362582
2021-09-10 05:21:33.934219 : Epoch  9, Batch    265, Loss  0.829037, Average Loss  0.867876, Time  0.381347
2021-09-10 05:21:35.709233 : Epoch  9, Batch    266, Loss  0.868674, Average Loss  0.867717, Time  0.359851
2021-09-10 05:21:37.493842 : Epoch  9, Batch    267, Loss  0.843830, Average Loss  0.867648, Time  0.369229
2021-09-10 05:21:39.305226 : Epoch  9, Batch    268, Loss  0.843954, Average Loss  0.867561, Time  0.358603
2021-09-10 05:21:41.094845 : Epoch  9, Batch    269, Loss  0.885346, Average Loss  0.867640, Time  0.371342
2021-09-10 05:21:42.897298 : Epoch  9, Batch    270, Loss  0.857458, Average Loss  0.867680, Time  0.365781
2021-09-10 05:21:44.684815 : Epoch  9, Batch    271, Loss  0.845858, Average Loss  0.867483, Time  0.377653
2021-09-10 05:21:46.447841 : Epoch  9, Batch    272, Loss  0.842302, Average Loss  0.867364, Time  0.358217
2021-09-10 05:21:48.245047 : Epoch  9, Batch    273, Loss  0.866364, Average Loss  0.867526, Time  0.368850
2021-09-10 05:21:50.035806 : Epoch  9, Batch    274, Loss  0.864163, Average Loss  0.867532, Time  0.361357
2021-09-10 05:21:51.838182 : Epoch  9, Batch    275, Loss  0.864481, Average Loss  0.867468, Time  0.368165
2021-09-10 05:21:53.633819 : Epoch  9, Batch    276, Loss  0.879996, Average Loss  0.867534, Time  0.357875
2021-09-10 05:21:55.429223 : Epoch  9, Batch    277, Loss  0.894655, Average Loss  0.867599, Time  0.366690
2021-09-10 05:21:57.201773 : Epoch  9, Batch    278, Loss  0.837769, Average Loss  0.867537, Time  0.367296
2021-09-10 05:21:58.993932 : Epoch  9, Batch    279, Loss  0.839763, Average Loss  0.867373, Time  0.388630
2021-09-10 05:22:00.795106 : Epoch  9, Batch    280, Loss  0.863780, Average Loss  0.867184, Time  0.366979
2021-09-10 05:22:02.568842 : Epoch  9, Batch    281, Loss  0.829863, Average Loss  0.866742, Time  0.375612
2021-09-10 05:22:04.333257 : Epoch  9, Batch    282, Loss  0.872289, Average Loss  0.866630, Time  0.365154
2021-09-10 05:22:06.125230 : Epoch  9, Batch    283, Loss  0.861989, Average Loss  0.866625, Time  0.374030
2021-09-10 05:22:07.883872 : Epoch  9, Batch    284, Loss  0.881603, Average Loss  0.866684, Time  0.358966
2021-09-10 05:22:09.686847 : Epoch  9, Batch    285, Loss  0.854984, Average Loss  0.866686, Time  0.381374
2021-09-10 05:22:11.470968 : Epoch  9, Batch    286, Loss  0.859003, Average Loss  0.866694, Time  0.358561
2021-09-10 05:22:13.266776 : Epoch  9, Batch    287, Loss  0.861022, Average Loss  0.866790, Time  0.376195
2021-09-10 05:22:15.057115 : Epoch  9, Batch    288, Loss  0.871730, Average Loss  0.866860, Time  0.360043
2021-09-10 05:22:16.850552 : Epoch  9, Batch    289, Loss  0.851767, Average Loss  0.866680, Time  0.374536
2021-09-10 05:22:18.616212 : Epoch  9, Batch    290, Loss  0.874121, Average Loss  0.866743, Time  0.368066
2021-09-10 05:22:20.398937 : Epoch  9, Batch    291, Loss  0.847317, Average Loss  0.866680, Time  0.371260
2021-09-10 05:22:22.221855 : Epoch  9, Batch    292, Loss  0.841069, Average Loss  0.866497, Time  0.357266
2021-09-10 05:22:24.001779 : Epoch  9, Batch    293, Loss  0.852225, Average Loss  0.866292, Time  0.364613
2021-09-10 05:22:25.792829 : Epoch  9, Batch    294, Loss  0.869537, Average Loss  0.866236, Time  0.359570
2021-09-10 05:22:27.584893 : Epoch  9, Batch    295, Loss  0.855249, Average Loss  0.866006, Time  0.374067
2021-09-10 05:22:29.362779 : Epoch  9, Batch    296, Loss  0.855668, Average Loss  0.865964, Time  0.357338
2021-09-10 05:22:31.173593 : Epoch  9, Batch    297, Loss  0.848506, Average Loss  0.865888, Time  0.372593
2021-09-10 05:22:32.962772 : Epoch  9, Batch    298, Loss  0.899061, Average Loss  0.866082, Time  0.373138
2021-09-10 05:22:34.755825 : Epoch  9, Batch    299, Loss  0.895325, Average Loss  0.866303, Time  0.377537
2021-09-10 05:22:36.524904 : Epoch  9, Batch    300, Loss  0.899751, Average Loss  0.866523, Time  0.357671
2021-09-10 05:22:38.357791 : Epoch  9, Batch    301, Loss  0.877456, Average Loss  0.866614, Time  0.388099
2021-09-10 05:22:40.128315 : Epoch  9, Batch    302, Loss  0.872500, Average Loss  0.866625, Time  0.363243
2021-09-10 05:22:41.928776 : Epoch  9, Batch    303, Loss  0.856961, Average Loss  0.866547, Time  0.376083
2021-09-10 05:22:43.697791 : Epoch  9, Batch    304, Loss  0.871919, Average Loss  0.866546, Time  0.360514
2021-09-10 05:22:45.484765 : Epoch  9, Batch    305, Loss  0.866187, Average Loss  0.866520, Time  0.375563
2021-09-10 05:22:47.254857 : Epoch  9, Batch    306, Loss  0.828025, Average Loss  0.866284, Time  0.358640
2021-09-10 05:22:49.044105 : Epoch  9, Batch    307, Loss  0.857349, Average Loss  0.866086, Time  0.384890
2021-09-10 05:22:50.837236 : Epoch  9, Batch    308, Loss  0.876872, Average Loss  0.866218, Time  0.370758
2021-09-10 05:22:52.618763 : Epoch  9, Batch    309, Loss  0.863271, Average Loss  0.866242, Time  0.367645
2021-09-10 05:22:54.390947 : Epoch  9, Batch    310, Loss  0.865511, Average Loss  0.866278, Time  0.364476
2021-09-10 05:22:56.191233 : Epoch  9, Batch    311, Loss  0.839906, Average Loss  0.866231, Time  0.370829
2021-09-10 05:23:03.491445 : Epoch  9, Batch    312, Loss  0.857219, Average Loss  0.866185, Time  0.368577
2021-09-10 05:27:53.179720 : CheckPoint: Validation Loss  0.00060251, Best Loss  0.00056427
2021-09-10 05:27:54.952308 : Epoch  9, Batch    313, Loss  0.870519, Average Loss  0.866183, Time  0.356261
2021-09-10 05:27:56.742819 : Epoch  9, Batch    314, Loss  0.877011, Average Loss  0.866181, Time  0.363037
2021-09-10 05:27:58.548087 : Epoch  9, Batch    315, Loss  0.894760, Average Loss  0.866213, Time  0.361553
2021-09-10 05:28:00.318781 : Epoch  9, Batch    316, Loss  0.878379, Average Loss  0.866276, Time  0.355531
2021-09-10 05:28:02.123092 : Epoch  9, Batch    317, Loss  0.908628, Average Loss  0.866496, Time  0.361531
2021-09-10 05:28:03.903106 : Epoch  9, Batch    318, Loss  0.879813, Average Loss  0.866543, Time  0.382374
2021-09-10 05:28:05.693087 : Epoch  9, Batch    319, Loss  0.847911, Average Loss  0.866479, Time  0.358527
2021-09-10 05:28:07.492769 : Epoch  9, Batch    320, Loss  0.834253, Average Loss  0.866456, Time  0.366705
2021-09-10 05:28:09.320845 : Epoch  9, Batch    321, Loss  0.878695, Average Loss  0.866559, Time  0.416449
2021-09-10 05:28:11.113780 : Epoch  9, Batch    322, Loss  0.866828, Average Loss  0.866615, Time  0.365240
2021-09-10 05:28:12.937218 : Epoch  9, Batch    323, Loss  0.869028, Average Loss  0.866637, Time  0.405712
2021-09-10 05:28:14.781112 : Epoch  9, Batch    324, Loss  0.891511, Average Loss  0.866694, Time  0.408029
2021-09-10 05:28:16.589230 : Epoch  9, Batch    325, Loss  0.860001, Average Loss  0.866675, Time  0.360680
2021-09-10 05:28:18.409811 : Epoch  9, Batch    326, Loss  0.868838, Average Loss  0.866734, Time  0.402710
2021-09-10 05:28:20.224233 : Epoch  9, Batch    327, Loss  0.878164, Average Loss  0.866763, Time  0.413759
2021-09-10 05:28:22.004776 : Epoch  9, Batch    328, Loss  0.847685, Average Loss  0.866639, Time  0.360882
2021-09-10 05:28:23.779258 : Epoch  9, Batch    329, Loss  0.862441, Average Loss  0.866550, Time  0.362689
2021-09-10 05:28:25.635114 : Epoch  9, Batch    330, Loss  0.872196, Average Loss  0.866588, Time  0.458960
2021-09-10 05:28:27.404847 : Epoch  9, Batch    331, Loss  0.862291, Average Loss  0.866683, Time  0.361740
2021-09-10 05:28:29.190368 : Epoch  9, Batch    332, Loss  0.883464, Average Loss  0.866791, Time  0.358479
2021-09-10 05:28:31.023817 : Epoch  9, Batch    333, Loss  0.858089, Average Loss  0.866764, Time  0.393679
2021-09-10 05:28:32.897864 : Epoch  9, Batch    334, Loss  0.849335, Average Loss  0.866711, Time  0.452887
2021-09-10 05:28:34.670099 : Epoch  9, Batch    335, Loss  0.839102, Average Loss  0.866573, Time  0.354891
2021-09-10 05:28:36.478773 : Epoch  9, Batch    336, Loss  0.893264, Average Loss  0.866616, Time  0.358005
2021-09-10 05:28:38.273107 : Epoch  9, Batch    337, Loss  0.922004, Average Loss  0.866778, Time  0.378412
2021-09-10 05:28:40.155799 : Epoch  9, Batch    338, Loss  0.857929, Average Loss  0.866559, Time  0.456250
2021-09-10 05:28:41.915020 : Epoch  9, Batch    339, Loss  0.873295, Average Loss  0.866468, Time  0.357011
2021-09-10 05:28:43.711779 : Epoch  9, Batch    340, Loss  0.862044, Average Loss  0.866382, Time  0.356239
2021-09-10 05:28:45.515767 : Epoch  9, Batch    341, Loss  0.868001, Average Loss  0.866352, Time  0.381481
2021-09-10 05:28:47.404774 : Epoch  9, Batch    342, Loss  0.862010, Average Loss  0.866418, Time  0.466957
2021-09-10 05:28:49.181517 : Epoch  9, Batch    343, Loss  0.889748, Average Loss  0.866575, Time  0.361966
2021-09-10 05:28:50.956236 : Epoch  9, Batch    344, Loss  0.845874, Average Loss  0.866519, Time  0.356586
2021-09-10 05:28:52.789776 : Epoch  9, Batch    345, Loss  0.875590, Average Loss  0.866608, Time  0.387453
2021-09-10 05:28:54.661749 : Epoch  9, Batch    346, Loss  0.891955, Average Loss  0.866701, Time  0.454915
2021-09-10 05:28:56.433119 : Epoch  9, Batch    347, Loss  0.860664, Average Loss  0.866772, Time  0.357970
2021-09-10 05:28:58.208775 : Epoch  9, Batch    348, Loss  0.847246, Average Loss  0.866584, Time  0.355846
2021-09-10 05:29:00.014308 : Epoch  9, Batch    349, Loss  0.870531, Average Loss  0.866655, Time  0.384088
2021-09-10 05:29:01.896027 : Epoch  9, Batch    350, Loss  0.866169, Average Loss  0.866545, Time  0.453575
2021-09-10 05:29:03.681161 : Epoch  9, Batch    351, Loss  0.853835, Average Loss  0.866556, Time  0.356126
2021-09-10 05:29:05.481175 : Epoch  9, Batch    352, Loss  0.872875, Average Loss  0.866533, Time  0.357846
2021-09-10 05:29:07.307782 : Epoch  9, Batch    353, Loss  0.896780, Average Loss  0.866625, Time  0.371258
2021-09-10 05:29:09.189065 : Epoch  9, Batch    354, Loss  0.863049, Average Loss  0.866583, Time  0.450592
2021-09-10 05:29:10.974778 : Epoch  9, Batch    355, Loss  0.850786, Average Loss  0.866415, Time  0.335640
2021-09-10 05:29:12.748231 : Epoch  9, Batch    356, Loss  0.852494, Average Loss  0.866350, Time  0.357268
2021-09-10 05:29:14.533104 : Epoch  9, Batch    357, Loss  0.859346, Average Loss  0.866220, Time  0.358035
2021-09-10 05:29:16.420969 : Epoch  9, Batch    358, Loss  0.874223, Average Loss  0.866237, Time  0.462870
2021-09-10 05:29:18.200779 : Epoch  9, Batch    359, Loss  0.864358, Average Loss  0.866192, Time  0.361343
2021-09-10 05:29:19.965237 : Epoch  9, Batch    360, Loss  0.887589, Average Loss  0.866282, Time  0.366071
2021-09-10 05:29:21.773112 : Epoch  9, Batch    361, Loss  0.864462, Average Loss  0.866232, Time  0.394574
2021-09-10 05:29:23.666104 : Epoch  9, Batch    362, Loss  0.890928, Average Loss  0.866210, Time  0.460949
2021-09-10 05:29:25.445776 : Epoch  9, Batch    363, Loss  0.863761, Average Loss  0.866255, Time  0.367084
2021-09-10 05:29:27.203237 : Epoch  9, Batch    364, Loss  0.867345, Average Loss  0.866266, Time  0.355947
2021-09-10 05:29:29.009895 : Epoch  9, Batch    365, Loss  0.906817, Average Loss  0.866416, Time  0.392482
2021-09-10 05:29:30.898138 : Epoch  9, Batch    366, Loss  0.849799, Average Loss  0.866372, Time  0.466398
2021-09-10 05:29:32.662766 : Epoch  9, Batch    367, Loss  0.837056, Average Loss  0.866244, Time  0.357345
2021-09-10 05:29:34.432712 : Epoch  9, Batch    368, Loss  0.893255, Average Loss  0.866372, Time  0.355492
2021-09-10 05:29:36.242763 : Epoch  9, Batch    369, Loss  0.859488, Average Loss  0.866323, Time  0.389649
2021-09-10 05:29:38.119792 : Epoch  9, Batch    370, Loss  0.860295, Average Loss  0.866377, Time  0.455445
2021-09-10 05:29:39.907102 : Epoch  9, Batch    371, Loss  0.861653, Average Loss  0.866362, Time  0.367336
2021-09-10 05:29:41.674113 : Epoch  9, Batch    372, Loss  0.845890, Average Loss  0.866344, Time  0.364682
2021-09-10 05:29:43.486227 : Epoch  9, Batch    373, Loss  0.882629, Average Loss  0.866484, Time  0.383366
2021-09-10 05:29:45.365771 : Epoch  9, Batch    374, Loss  0.866969, Average Loss  0.866477, Time  0.450359
2021-09-10 05:29:47.144090 : Epoch  9, Batch    375, Loss  0.875135, Average Loss  0.866342, Time  0.357346
2021-09-10 05:29:48.940825 : Epoch  9, Batch    376, Loss  0.849121, Average Loss  0.866185, Time  0.364793
2021-09-10 05:29:50.729919 : Epoch  9, Batch    377, Loss  0.859520, Average Loss  0.866198, Time  0.376415
2021-09-10 05:29:52.596973 : Epoch  9, Batch    378, Loss  0.849408, Average Loss  0.866001, Time  0.456813
2021-09-10 05:29:54.374762 : Epoch  9, Batch    379, Loss  0.844087, Average Loss  0.865784, Time  0.371995
2021-09-10 05:29:56.155903 : Epoch  9, Batch    380, Loss  0.873558, Average Loss  0.865803, Time  0.363882
2021-09-10 05:29:57.959290 : Epoch  9, Batch    381, Loss  0.853768, Average Loss  0.865689, Time  0.387158
2021-09-10 05:29:59.845806 : Epoch  9, Batch    382, Loss  0.873309, Average Loss  0.865598, Time  0.453845
2021-09-10 05:30:01.616355 : Epoch  9, Batch    383, Loss  0.883364, Average Loss  0.865714, Time  0.361375
2021-09-10 05:30:03.395176 : Epoch  9, Batch    384, Loss  0.904241, Average Loss  0.865876, Time  0.357131
2021-09-10 05:30:05.194977 : Epoch  9, Batch    385, Loss  0.885794, Average Loss  0.866018, Time  0.379549
2021-09-10 05:30:07.065967 : Epoch  9, Batch    386, Loss  0.863908, Average Loss  0.865990, Time  0.471314
2021-09-10 05:30:08.843038 : Epoch  9, Batch    387, Loss  0.888267, Average Loss  0.866131, Time  0.376300
2021-09-10 05:30:10.653894 : Epoch  9, Batch    388, Loss  0.865571, Average Loss  0.865991, Time  0.359582
2021-09-10 05:30:12.464860 : Epoch  9, Batch    389, Loss  0.849045, Average Loss  0.865888, Time  0.376395
2021-09-10 05:30:14.268996 : Epoch  9, Batch    390, Loss  0.869270, Average Loss  0.865839, Time  0.360225
2021-09-10 05:30:16.058776 : Epoch  9, Batch    391, Loss  0.882960, Average Loss  0.866019, Time  0.357873
2021-09-10 05:30:17.842777 : Epoch  9, Batch    392, Loss  0.881430, Average Loss  0.866177, Time  0.374627
2021-09-10 05:30:19.702923 : Epoch  9, Batch    393, Loss  0.880178, Average Loss  0.866207, Time  0.463243
2021-09-10 05:30:21.470780 : Epoch  9, Batch    394, Loss  0.858634, Average Loss  0.866212, Time  0.356886
2021-09-10 05:30:23.256781 : Epoch  9, Batch    395, Loss  0.859692, Average Loss  0.866280, Time  0.354986
2021-09-10 05:30:25.055794 : Epoch  9, Batch    396, Loss  0.885306, Average Loss  0.866487, Time  0.385948
2021-09-10 05:30:26.944772 : Epoch  9, Batch    397, Loss  0.870218, Average Loss  0.866488, Time  0.461578
2021-09-10 05:30:28.700865 : Epoch  9, Batch    398, Loss  0.885518, Average Loss  0.866559, Time  0.360136
2021-09-10 05:30:30.487774 : Epoch  9, Batch    399, Loss  0.883280, Average Loss  0.866741, Time  0.375398
2021-09-10 05:30:32.304814 : Epoch  9, Batch    400, Loss  0.859078, Average Loss  0.866620, Time  0.394420
2021-09-10 05:30:34.173138 : Epoch  9, Batch    401, Loss  0.881977, Average Loss  0.866677, Time  0.457549
2021-09-10 05:30:35.929766 : Epoch  9, Batch    402, Loss  0.866058, Average Loss  0.866574, Time  0.358588
2021-09-10 05:30:37.681185 : Epoch  9, Batch    403, Loss  0.885505, Average Loss  0.866651, Time  0.357058
2021-09-10 05:30:39.498811 : Epoch  9, Batch    404, Loss  0.859955, Average Loss  0.866765, Time  0.404111
2021-09-10 05:30:41.377111 : Epoch  9, Batch    405, Loss  0.847377, Average Loss  0.866570, Time  0.463787
2021-09-10 05:30:43.158775 : Epoch  9, Batch    406, Loss  0.840004, Average Loss  0.866469, Time  0.356428
2021-09-10 05:30:44.934377 : Epoch  9, Batch    407, Loss  0.899454, Average Loss  0.866578, Time  0.370775
2021-09-10 05:30:46.751776 : Epoch  9, Batch    408, Loss  0.877344, Average Loss  0.866795, Time  0.376558
2021-09-10 05:30:48.644251 : Epoch  9, Batch    409, Loss  0.879207, Average Loss  0.866929, Time  0.466088
2021-09-10 05:30:50.432021 : Epoch  9, Batch    410, Loss  0.848059, Average Loss  0.866729, Time  0.364397
2021-09-10 05:30:52.192831 : Epoch  9, Batch    411, Loss  0.859668, Average Loss  0.866712, Time  0.357035
2021-09-10 05:30:54.029092 : Epoch  9, Batch    412, Loss  0.882935, Average Loss  0.866833, Time  0.397069
2021-09-10 05:35:44.658719 : CheckPoint: Validation Loss  0.00060415, Best Loss  0.00056427
2021-09-10 05:35:46.532784 : Epoch  9, Batch    413, Loss  0.876262, Average Loss  0.866850, Time  0.450390
2021-09-10 05:35:48.293769 : Epoch  9, Batch    414, Loss  0.882540, Average Loss  0.866847, Time  0.364930
2021-09-10 05:35:50.064146 : Epoch  9, Batch    415, Loss  0.877818, Average Loss  0.866927, Time  0.360732
2021-09-10 05:35:51.868936 : Epoch  9, Batch    416, Loss  0.858082, Average Loss  0.866878, Time  0.395581
2021-09-10 05:35:53.756763 : Epoch  9, Batch    417, Loss  0.867852, Average Loss  0.866937, Time  0.470889
2021-09-10 05:35:55.512775 : Epoch  9, Batch    418, Loss  0.845368, Average Loss  0.866883, Time  0.356056
2021-09-10 05:35:57.285951 : Epoch  9, Batch    419, Loss  0.883576, Average Loss  0.867009, Time  0.367176
2021-09-10 05:35:59.088776 : Epoch  9, Batch    420, Loss  0.875817, Average Loss  0.866938, Time  0.391784
2021-09-10 05:36:00.988765 : Epoch  9, Batch    421, Loss  0.862234, Average Loss  0.867057, Time  0.468054
2021-09-10 05:36:02.750524 : Epoch  9, Batch    422, Loss  0.877676, Average Loss  0.866949, Time  0.361796
2021-09-10 05:36:04.519774 : Epoch  9, Batch    423, Loss  0.866265, Average Loss  0.866816, Time  0.356557
2021-09-10 05:36:06.331108 : Epoch  9, Batch    424, Loss  0.878138, Average Loss  0.866920, Time  0.385373
2021-09-10 05:36:08.194306 : Epoch  9, Batch    425, Loss  0.891919, Average Loss  0.866978, Time  0.469093
2021-09-10 05:36:10.001779 : Epoch  9, Batch    426, Loss  0.858439, Average Loss  0.866982, Time  0.365994
2021-09-10 05:36:11.763773 : Epoch  9, Batch    427, Loss  0.859052, Average Loss  0.867180, Time  0.362727
2021-09-10 05:36:13.573014 : Epoch  9, Batch    428, Loss  0.868145, Average Loss  0.867136, Time  0.382351
2021-09-10 05:36:15.436220 : Epoch  9, Batch    429, Loss  0.864590, Average Loss  0.867151, Time  0.451736
2021-09-10 05:36:17.208824 : Epoch  9, Batch    430, Loss  0.848628, Average Loss  0.867143, Time  0.357137
2021-09-10 05:36:19.019244 : Epoch  9, Batch    431, Loss  0.863305, Average Loss  0.867193, Time  0.361471
2021-09-10 05:36:20.810777 : Epoch  9, Batch    432, Loss  0.845415, Average Loss  0.867116, Time  0.375459
2021-09-10 05:36:22.697111 : Epoch  9, Batch    433, Loss  0.864355, Average Loss  0.867142, Time  0.461529
2021-09-10 05:36:24.495828 : Epoch  9, Batch    434, Loss  0.878398, Average Loss  0.867049, Time  0.366091
2021-09-10 05:36:26.249691 : Epoch  9, Batch    435, Loss  0.880900, Average Loss  0.867129, Time  0.359000
2021-09-10 05:36:28.040065 : Epoch  9, Batch    436, Loss  0.857595, Average Loss  0.867093, Time  0.379326
2021-09-10 05:36:29.934762 : Epoch  9, Batch    437, Loss  0.867951, Average Loss  0.867092, Time  0.452016
2021-09-10 05:36:31.741859 : Epoch  9, Batch    438, Loss  0.854450, Average Loss  0.866913, Time  0.347131
2021-09-10 05:36:33.544762 : Epoch  9, Batch    439, Loss  0.823312, Average Loss  0.866697, Time  0.360597
2021-09-10 05:36:35.345842 : Epoch  9, Batch    440, Loss  0.862247, Average Loss  0.866750, Time  0.356794
2021-09-10 05:36:37.252776 : Epoch  9, Batch    441, Loss  0.887154, Average Loss  0.866901, Time  0.452288
2021-09-10 05:36:39.144803 : Epoch  9, Batch    442, Loss  0.848773, Average Loss  0.866840, Time  0.447114
2021-09-10 05:36:40.960040 : Epoch  9, Batch    443, Loss  0.868810, Average Loss  0.866869, Time  0.358785
2021-09-10 05:36:42.749063 : Epoch  9, Batch    444, Loss  0.887701, Average Loss  0.867000, Time  0.356269
2021-09-10 05:36:44.563225 : Epoch  9, Batch    445, Loss  0.872812, Average Loss  0.867214, Time  0.406294
2021-09-10 05:36:46.436769 : Epoch  9, Batch    446, Loss  0.851261, Average Loss  0.867153, Time  0.448639
2021-09-10 05:36:48.209770 : Epoch  9, Batch    447, Loss  0.885229, Average Loss  0.867215, Time  0.357086
2021-09-10 05:36:50.005775 : Epoch  9, Batch    448, Loss  0.856294, Average Loss  0.867159, Time  0.360528
2021-09-10 05:36:51.829839 : Epoch  9, Batch    449, Loss  0.846296, Average Loss  0.866873, Time  0.388837
2021-09-10 05:36:53.694866 : Epoch  9, Batch    450, Loss  0.841316, Average Loss  0.866722, Time  0.462672
2021-09-10 05:36:55.473130 : Epoch  9, Batch    451, Loss  0.832678, Average Loss  0.866536, Time  0.360454
2021-09-10 05:36:57.238768 : Epoch  9, Batch    452, Loss  0.855657, Average Loss  0.866513, Time  0.357974
2021-09-10 05:36:59.052102 : Epoch  9, Batch    453, Loss  0.878600, Average Loss  0.866665, Time  0.403858
2021-09-10 05:37:00.918976 : Epoch  9, Batch    454, Loss  0.874076, Average Loss  0.866719, Time  0.460479
2021-09-10 05:37:02.701231 : Epoch  9, Batch    455, Loss  0.858917, Average Loss  0.866681, Time  0.358292
2021-09-10 05:37:04.468779 : Epoch  9, Batch    456, Loss  0.853657, Average Loss  0.866387, Time  0.358508
2021-09-10 05:37:06.281088 : Epoch  9, Batch    457, Loss  0.858231, Average Loss  0.866318, Time  0.387124
2021-09-10 05:37:08.146110 : Epoch  9, Batch    458, Loss  0.858982, Average Loss  0.866203, Time  0.452167
2021-09-10 05:37:09.926419 : Epoch  9, Batch    459, Loss  0.883164, Average Loss  0.866050, Time  0.358719
2021-09-10 05:37:11.678252 : Epoch  9, Batch    460, Loss  0.866855, Average Loss  0.866132, Time  0.359341
2021-09-10 05:37:13.497832 : Epoch  9, Batch    461, Loss  0.868965, Average Loss  0.866277, Time  0.400264
2021-09-10 05:37:15.369250 : Epoch  9, Batch    462, Loss  0.847371, Average Loss  0.866170, Time  0.453303
2021-09-10 05:37:17.142793 : Epoch  9, Batch    463, Loss  0.884206, Average Loss  0.866234, Time  0.363320
2021-09-10 05:37:18.924780 : Epoch  9, Batch    464, Loss  0.913363, Average Loss  0.866578, Time  0.357867
2021-09-10 05:37:20.739828 : Epoch  9, Batch    465, Loss  0.901152, Average Loss  0.866938, Time  0.397547
2021-09-10 05:37:22.596115 : Epoch  9, Batch    466, Loss  0.852079, Average Loss  0.866855, Time  0.447818
2021-09-10 05:37:24.404154 : Epoch  9, Batch    467, Loss  0.860580, Average Loss  0.866939, Time  0.359844
2021-09-10 05:37:26.196770 : Epoch  9, Batch    468, Loss  0.863672, Average Loss  0.867038, Time  0.356511
2021-09-10 05:37:28.002767 : Epoch  9, Batch    469, Loss  0.862274, Average Loss  0.866922, Time  0.380272
2021-09-10 05:37:29.868234 : Epoch  9, Batch    470, Loss  0.864711, Average Loss  0.866959, Time  0.457823
2021-09-10 05:37:31.650600 : Epoch  9, Batch    471, Loss  0.831682, Average Loss  0.866888, Time  0.355553
2021-09-10 05:37:33.399297 : Epoch  9, Batch    472, Loss  0.869605, Average Loss  0.867024, Time  0.361404
2021-09-10 05:37:35.231761 : Epoch  9, Batch    473, Loss  0.867468, Average Loss  0.867030, Time  0.404011
2021-09-10 05:37:37.105783 : Epoch  9, Batch    474, Loss  0.853109, Average Loss  0.866974, Time  0.459286
2021-09-10 05:37:38.887922 : Epoch  9, Batch    475, Loss  0.861818, Average Loss  0.866961, Time  0.370498
2021-09-10 05:37:40.659776 : Epoch  9, Batch    476, Loss  0.878333, Average Loss  0.866953, Time  0.356895
2021-09-10 05:37:42.466762 : Epoch  9, Batch    477, Loss  0.885491, Average Loss  0.866907, Time  0.394746
2021-09-10 05:37:44.331481 : Epoch  9, Batch    478, Loss  0.873726, Average Loss  0.867087, Time  0.452850
2021-09-10 05:37:46.116784 : Epoch  9, Batch    479, Loss  0.880451, Average Loss  0.867290, Time  0.363780
2021-09-10 05:37:47.905770 : Epoch  9, Batch    480, Loss  0.874126, Average Loss  0.867342, Time  0.357240
2021-09-10 05:37:49.707846 : Epoch  9, Batch    481, Loss  0.869654, Average Loss  0.867541, Time  0.400453
2021-09-10 05:37:51.566940 : Epoch  9, Batch    482, Loss  0.888475, Average Loss  0.867622, Time  0.461105
2021-09-10 05:37:53.356792 : Epoch  9, Batch    483, Loss  0.847928, Average Loss  0.867552, Time  0.356635
2021-09-10 05:37:55.152783 : Epoch  9, Batch    484, Loss  0.855698, Average Loss  0.867422, Time  0.361727
2021-09-10 05:37:56.960103 : Epoch  9, Batch    485, Loss  0.861625, Average Loss  0.867455, Time  0.390640
2021-09-10 05:37:58.868557 : Epoch  9, Batch    486, Loss  0.844482, Average Loss  0.867383, Time  0.449835
2021-09-10 05:38:00.643108 : Epoch  9, Batch    487, Loss  0.841384, Average Loss  0.867284, Time  0.362211
2021-09-10 05:38:02.427912 : Epoch  9, Batch    488, Loss  0.869499, Average Loss  0.867273, Time  0.362957
2021-09-10 05:38:04.225776 : Epoch  9, Batch    489, Loss  0.847861, Average Loss  0.867254, Time  0.378677
2021-09-10 05:38:06.126910 : Epoch  9, Batch    490, Loss  0.865000, Average Loss  0.867208, Time  0.479069
2021-09-10 05:38:07.898773 : Epoch  9, Batch    491, Loss  0.890155, Average Loss  0.867422, Time  0.355052
2021-09-10 05:38:09.688954 : Epoch  9, Batch    492, Loss  0.868187, Average Loss  0.867558, Time  0.358902
2021-09-10 05:38:11.467772 : Epoch  9, Batch    493, Loss  0.884511, Average Loss  0.867719, Time  0.372720
2021-09-10 05:38:13.347869 : Epoch  9, Batch    494, Loss  0.853960, Average Loss  0.867641, Time  0.457789
2021-09-10 05:38:15.112922 : Epoch  9, Batch    495, Loss  0.848925, Average Loss  0.867610, Time  0.356759
2021-09-10 05:38:16.911958 : Epoch  9, Batch    496, Loss  0.893757, Average Loss  0.867800, Time  0.376111
2021-09-10 05:38:18.710777 : Epoch  9, Batch    497, Loss  0.885349, Average Loss  0.867984, Time  0.380792
2021-09-10 05:38:20.577641 : Epoch  9, Batch    498, Loss  0.876447, Average Loss  0.867871, Time  0.461039
2021-09-10 05:38:22.354789 : Epoch  9, Batch    499, Loss  0.850169, Average Loss  0.867646, Time  0.357047
2021-09-10 05:38:24.131775 : Epoch  9, Batch    500, Loss  0.842809, Average Loss  0.867361, Time  0.376582
2021-09-10 05:38:25.943771 : Epoch  9, Batch    501, Loss  0.851143, Average Loss  0.867229, Time  0.389719
2021-09-10 05:38:27.802777 : Epoch  9, Batch    502, Loss  0.895885, Average Loss  0.867346, Time  0.461112
2021-09-10 05:38:29.598726 : Epoch  9, Batch    503, Loss  0.893673, Average Loss  0.867530, Time  0.363103
2021-09-10 05:38:31.384771 : Epoch  9, Batch    504, Loss  0.897460, Average Loss  0.867658, Time  0.356822
2021-09-10 05:38:33.219775 : Epoch  9, Batch    505, Loss  0.858455, Average Loss  0.867619, Time  0.378066
2021-09-10 05:38:35.108108 : Epoch  9, Batch    506, Loss  0.857578, Average Loss  0.867767, Time  0.459935
2021-09-10 05:38:36.871870 : Epoch  9, Batch    507, Loss  0.868661, Average Loss  0.867823, Time  0.343912
2021-09-10 05:38:38.660995 : Epoch  9, Batch    508, Loss  0.891969, Average Loss  0.867899, Time  0.355558
2021-09-10 05:38:40.442101 : Epoch  9, Batch    509, Loss  0.862229, Average Loss  0.867893, Time  0.356533
2021-09-10 05:38:42.313367 : Epoch  9, Batch    510, Loss  0.893803, Average Loss  0.868035, Time  0.451792
2021-09-10 05:38:44.114115 : Epoch  9, Batch    511, Loss  0.857567, Average Loss  0.868123, Time  0.382349
2021-09-10 05:38:45.902108 : Epoch  9, Batch    512, Loss  0.876451, Average Loss  0.868219, Time  0.358179
2021-09-10 05:43:37.393706 : CheckPoint: Validation Loss  0.00061574, Best Loss  0.00056427
2021-09-10 05:43:39.209093 : Epoch  9, Batch    513, Loss  0.891494, Average Loss  0.868324, Time  0.368928
2021-09-10 05:43:41.056783 : Epoch  9, Batch    514, Loss  0.894690, Average Loss  0.868413, Time  0.381943
2021-09-10 05:43:42.952900 : Epoch  9, Batch    515, Loss  0.898528, Average Loss  0.868431, Time  0.454793
2021-09-10 05:43:44.739080 : Epoch  9, Batch    516, Loss  0.839207, Average Loss  0.868236, Time  0.356070
2021-09-10 05:43:46.531940 : Epoch  9, Batch    517, Loss  0.877089, Average Loss  0.868078, Time  0.357212
2021-09-10 05:43:48.322073 : Epoch  9, Batch    518, Loss  0.883697, Average Loss  0.868097, Time  0.359320
2021-09-10 05:43:50.192960 : Epoch  9, Batch    519, Loss  0.881275, Average Loss  0.868264, Time  0.452766
2021-09-10 05:43:51.981098 : Epoch  9, Batch    520, Loss  0.886129, Average Loss  0.868524, Time  0.337701
2021-09-10 05:43:53.752767 : Epoch  9, Batch    521, Loss  0.842948, Average Loss  0.868345, Time  0.357348
2021-09-10 05:43:55.522420 : Epoch  9, Batch    522, Loss  0.876111, Average Loss  0.868391, Time  0.363293
2021-09-10 05:43:57.389991 : Epoch  9, Batch    523, Loss  0.897250, Average Loss  0.868532, Time  0.456896
2021-09-10 05:43:59.170893 : Epoch  9, Batch    524, Loss  0.870602, Average Loss  0.868428, Time  0.355435
2021-09-10 05:44:00.944776 : Epoch  9, Batch    525, Loss  0.863357, Average Loss  0.868445, Time  0.354931
2021-09-10 05:44:02.785775 : Epoch  9, Batch    526, Loss  0.873540, Average Loss  0.868468, Time  0.393255
2021-09-10 05:44:04.664882 : Epoch  9, Batch    527, Loss  0.898494, Average Loss  0.868570, Time  0.463557
2021-09-10 05:44:06.443776 : Epoch  9, Batch    528, Loss  0.873464, Average Loss  0.868699, Time  0.356670
2021-09-10 05:44:08.204512 : Epoch  9, Batch    529, Loss  0.860556, Average Loss  0.868689, Time  0.355884
2021-09-10 05:44:10.025773 : Epoch  9, Batch    530, Loss  0.866329, Average Loss  0.868660, Time  0.399939
2021-09-10 05:44:11.926776 : Epoch  9, Batch    531, Loss  0.854073, Average Loss  0.868619, Time  0.468582
2021-09-10 05:44:13.707777 : Epoch  9, Batch    532, Loss  0.887276, Average Loss  0.868638, Time  0.335613
2021-09-10 05:44:15.490775 : Epoch  9, Batch    533, Loss  0.861090, Average Loss  0.868653, Time  0.361069
2021-09-10 05:44:17.269764 : Epoch  9, Batch    534, Loss  0.879983, Average Loss  0.868806, Time  0.360614
2021-09-10 05:44:19.144778 : Epoch  9, Batch    535, Loss  0.861575, Average Loss  0.868918, Time  0.458779
2021-09-10 05:44:20.952765 : Epoch  9, Batch    536, Loss  0.888889, Average Loss  0.868897, Time  0.356118
2021-09-10 05:44:22.731773 : Epoch  9, Batch    537, Loss  0.900131, Average Loss  0.868787, Time  0.363001
2021-09-10 05:44:24.523776 : Epoch  9, Batch    538, Loss  0.856959, Average Loss  0.868782, Time  0.366987
2021-09-10 05:44:26.399764 : Epoch  9, Batch    539, Loss  0.833021, Average Loss  0.868581, Time  0.452749
2021-09-10 05:44:28.168603 : Epoch  9, Batch    540, Loss  0.845307, Average Loss  0.868497, Time  0.357387
2021-09-10 05:44:29.935776 : Epoch  9, Batch    541, Loss  0.862623, Average Loss  0.868470, Time  0.364153
2021-09-10 05:44:31.747774 : Epoch  9, Batch    542, Loss  0.856581, Average Loss  0.868443, Time  0.385685
2021-09-10 05:44:33.621765 : Epoch  9, Batch    543, Loss  0.893857, Average Loss  0.868464, Time  0.451218
2021-09-10 05:44:35.411109 : Epoch  9, Batch    544, Loss  0.878748, Average Loss  0.868628, Time  0.352772
2021-09-10 05:44:37.180106 : Epoch  9, Batch    545, Loss  0.887646, Average Loss  0.868688, Time  0.363335
2021-09-10 05:44:39.004445 : Epoch  9, Batch    546, Loss  0.889491, Average Loss  0.868676, Time  0.373470
2021-09-10 05:44:40.900772 : Epoch  9, Batch    547, Loss  0.899437, Average Loss  0.868870, Time  0.450366
2021-09-10 05:44:42.737063 : Epoch  9, Batch    548, Loss  0.900784, Average Loss  0.869138, Time  0.416217
2021-09-10 05:44:44.508775 : Epoch  9, Batch    549, Loss  0.860963, Average Loss  0.869090, Time  0.362814
2021-09-10 05:44:46.311113 : Epoch  9, Batch    550, Loss  0.888248, Average Loss  0.869200, Time  0.356776
2021-09-10 05:44:48.172778 : Epoch  9, Batch    551, Loss  0.874797, Average Loss  0.869305, Time  0.435300
2021-09-10 05:44:50.043116 : Epoch  9, Batch    552, Loss  0.859752, Average Loss  0.869239, Time  0.454759
2021-09-10 05:44:51.847773 : Epoch  9, Batch    553, Loss  0.863658, Average Loss  0.869074, Time  0.362039
2021-09-10 05:44:53.637814 : Epoch  9, Batch    554, Loss  0.856511, Average Loss  0.869041, Time  0.369079
2021-09-10 05:44:55.447766 : Epoch  9, Batch    555, Loss  0.842913, Average Loss  0.869002, Time  0.381974
2021-09-10 05:44:57.341815 : Epoch  9, Batch    556, Loss  0.840030, Average Loss  0.868939, Time  0.459828
2021-09-10 05:44:59.109784 : Epoch  9, Batch    557, Loss  0.863096, Average Loss  0.868958, Time  0.360120
2021-09-10 05:45:00.913798 : Epoch  9, Batch    558, Loss  0.897062, Average Loss  0.869072, Time  0.357097
2021-09-10 05:45:02.768780 : Epoch  9, Batch    559, Loss  0.855286, Average Loss  0.869027, Time  0.414343
2021-09-10 05:45:04.703775 : Epoch  9, Batch    560, Loss  0.845222, Average Loss  0.868815, Time  0.468655
2021-09-10 05:45:06.551776 : Epoch  9, Batch    561, Loss  0.875734, Average Loss  0.868872, Time  0.409081
2021-09-10 05:45:08.331798 : Epoch  9, Batch    562, Loss  0.877797, Average Loss  0.868806, Time  0.362503
2021-09-10 05:45:10.096796 : Epoch  9, Batch    563, Loss  0.858640, Average Loss  0.868780, Time  0.356181
2021-09-10 05:45:11.975798 : Epoch  9, Batch    564, Loss  0.868499, Average Loss  0.868786, Time  0.439059
2021-09-10 05:45:13.840597 : Epoch  9, Batch    565, Loss  0.867176, Average Loss  0.868588, Time  0.453382
2021-09-10 05:45:15.602773 : Epoch  9, Batch    566, Loss  0.869160, Average Loss  0.868685, Time  0.356140
2021-09-10 05:45:17.378097 : Epoch  9, Batch    567, Loss  0.867167, Average Loss  0.868835, Time  0.360099
2021-09-10 05:45:19.232796 : Epoch  9, Batch    568, Loss  0.879417, Average Loss  0.868766, Time  0.422963
2021-09-10 05:45:21.102772 : Epoch  9, Batch    569, Loss  0.854437, Average Loss  0.868741, Time  0.454821
2021-09-10 05:45:22.891778 : Epoch  9, Batch    570, Loss  0.881606, Average Loss  0.868847, Time  0.355397
2021-09-10 05:45:24.688772 : Epoch  9, Batch    571, Loss  0.832626, Average Loss  0.868702, Time  0.361556
2021-09-10 05:45:26.493787 : Epoch  9, Batch    572, Loss  0.872919, Average Loss  0.868837, Time  0.390576
2021-09-10 05:45:28.384777 : Epoch  9, Batch    573, Loss  0.838089, Average Loss  0.868615, Time  0.455157
2021-09-10 05:45:30.200864 : Epoch  9, Batch    574, Loss  0.862157, Average Loss  0.868591, Time  0.361758
2021-09-10 05:45:32.024772 : Epoch  9, Batch    575, Loss  0.874637, Average Loss  0.868588, Time  0.361079
2021-09-10 05:45:33.826797 : Epoch  9, Batch    576, Loss  0.864042, Average Loss  0.868663, Time  0.357702
2021-09-10 05:45:35.691767 : Epoch  9, Batch    577, Loss  0.868376, Average Loss  0.868707, Time  0.454045
2021-09-10 05:45:37.471967 : Epoch  9, Batch    578, Loss  0.859220, Average Loss  0.868756, Time  0.362551
2021-09-10 05:45:39.279771 : Epoch  9, Batch    579, Loss  0.876787, Average Loss  0.868920, Time  0.364132
2021-09-10 05:45:41.091777 : Epoch  9, Batch    580, Loss  0.850214, Average Loss  0.868803, Time  0.371505
2021-09-10 05:45:42.976764 : Epoch  9, Batch    581, Loss  0.846339, Average Loss  0.868766, Time  0.455582
2021-09-10 05:45:44.760775 : Epoch  9, Batch    582, Loss  0.872364, Average Loss  0.868761, Time  0.362919
2021-09-10 05:45:46.555772 : Epoch  9, Batch    583, Loss  0.836064, Average Loss  0.868524, Time  0.358051
2021-09-10 05:45:48.372782 : Epoch  9, Batch    584, Loss  0.879475, Average Loss  0.868401, Time  0.378530
2021-09-10 05:45:50.152765 : Epoch  9, Batch    585, Loss  0.879921, Average Loss  0.868371, Time  0.356928
2021-09-10 05:45:51.923416 : Epoch  9, Batch    586, Loss  0.871121, Average Loss  0.868407, Time  0.354630
2021-09-10 05:45:53.698779 : Epoch  9, Batch    587, Loss  0.894297, Average Loss  0.868437, Time  0.365050
2021-09-10 05:45:55.494096 : Epoch  9, Batch    588, Loss  0.894284, Average Loss  0.868581, Time  0.355073
2021-09-10 05:45:57.305776 : Epoch  9, Batch    589, Loss  0.840750, Average Loss  0.868540, Time  0.365973
2021-09-10 05:45:59.095647 : Epoch  9, Batch    590, Loss  0.884360, Average Loss  0.868615, Time  0.370545
2021-09-10 05:46:00.888115 : Epoch  9, Batch    591, Loss  0.865565, Average Loss  0.868528, Time  0.373384
2021-09-10 05:46:02.698781 : Epoch  9, Batch    592, Loss  0.864806, Average Loss  0.868445, Time  0.370191
2021-09-10 05:46:04.473940 : Epoch  9, Batch    593, Loss  0.869769, Average Loss  0.868393, Time  0.358634
2021-09-10 05:46:06.268103 : Epoch  9, Batch    594, Loss  0.876160, Average Loss  0.868481, Time  0.368429
2021-09-10 05:46:08.059818 : Epoch  9, Batch    595, Loss  0.868002, Average Loss  0.868522, Time  0.365728
2021-09-10 05:46:09.859777 : Epoch  9, Batch    596, Loss  0.845849, Average Loss  0.868325, Time  0.366475
2021-09-10 05:46:11.640431 : Epoch  9, Batch    597, Loss  0.860082, Average Loss  0.868274, Time  0.360018
2021-09-10 05:46:13.427763 : Epoch  9, Batch    598, Loss  0.852468, Average Loss  0.868109, Time  0.368977
2021-09-10 05:46:15.215938 : Epoch  9, Batch    599, Loss  0.869527, Average Loss  0.868040, Time  0.362983
2021-09-10 05:46:17.007761 : Epoch  9, Batch    600, Loss  0.875075, Average Loss  0.868120, Time  0.367392
2021-09-10 05:46:18.790776 : Epoch  9, Batch    601, Loss  0.885021, Average Loss  0.868135, Time  0.357745
2021-09-10 05:46:20.643777 : Epoch  9, Batch    602, Loss  0.862377, Average Loss  0.868117, Time  0.367753
2021-09-10 05:46:22.438762 : Epoch  9, Batch    603, Loss  0.865619, Average Loss  0.868017, Time  0.359247
2021-09-10 05:46:24.242811 : Epoch  9, Batch    604, Loss  0.877160, Average Loss  0.868103, Time  0.365175
2021-09-10 05:46:26.008509 : Epoch  9, Batch    605, Loss  0.870517, Average Loss  0.868219, Time  0.358041
2021-09-10 05:46:27.793767 : Epoch  9, Batch    606, Loss  0.842947, Average Loss  0.868234, Time  0.372117
2021-09-10 05:46:29.584772 : Epoch  9, Batch    607, Loss  0.877732, Average Loss  0.868125, Time  0.376474
2021-09-10 05:46:31.382772 : Epoch  9, Batch    608, Loss  0.867938, Average Loss  0.868078, Time  0.369467
2021-09-10 05:46:33.194771 : Epoch  9, Batch    609, Loss  0.876951, Average Loss  0.868067, Time  0.366813
2021-09-10 05:46:35.009787 : Epoch  9, Batch    610, Loss  0.888395, Average Loss  0.868269, Time  0.374214
2021-09-10 05:46:36.791764 : Epoch  9, Batch    611, Loss  0.867084, Average Loss  0.868306, Time  0.358701
2021-09-10 05:46:38.582781 : Epoch  9, Batch    612, Loss  0.849114, Average Loss  0.868137, Time  0.371211
2021-09-10 05:51:29.321704 : CheckPoint: Validation Loss  0.00060702, Best Loss  0.00056427
2021-09-10 05:51:31.098778 : Epoch  9, Batch    613, Loss  0.889121, Average Loss  0.868201, Time  0.345844
2021-09-10 05:51:32.902775 : Epoch  9, Batch    614, Loss  0.854206, Average Loss  0.868059, Time  0.360442
2021-09-10 05:51:34.698775 : Epoch  9, Batch    615, Loss  0.861427, Average Loss  0.867977, Time  0.339393
2021-09-10 05:51:36.536775 : Epoch  9, Batch    616, Loss  0.832826, Average Loss  0.867851, Time  0.360474
2021-09-10 05:51:38.374773 : Epoch  9, Batch    617, Loss  0.873032, Average Loss  0.867877, Time  0.393875
2021-09-10 05:51:40.188070 : Epoch  9, Batch    618, Loss  0.866998, Average Loss  0.867985, Time  0.382702
2021-09-10 05:51:42.038774 : Epoch  9, Batch    619, Loss  0.867202, Average Loss  0.867903, Time  0.422672
2021-09-10 05:51:43.853372 : Epoch  9, Batch    620, Loss  0.864348, Average Loss  0.867846, Time  0.366772
2021-09-10 05:51:45.697769 : Epoch  9, Batch    621, Loss  0.885694, Average Loss  0.867963, Time  0.413868
2021-09-10 05:51:47.522773 : Epoch  9, Batch    622, Loss  0.873922, Average Loss  0.867944, Time  0.362051
2021-09-10 05:51:49.380208 : Epoch  9, Batch    623, Loss  0.893686, Average Loss  0.868081, Time  0.419089
2021-09-10 05:51:51.177755 : Epoch  9, Batch    624, Loss  0.871589, Average Loss  0.868049, Time  0.365711
2021-09-10 05:51:53.002773 : Epoch  9, Batch    625, Loss  0.883143, Average Loss  0.868005, Time  0.399104
2021-09-10 05:51:54.816872 : Epoch  9, Batch    626, Loss  0.840866, Average Loss  0.867917, Time  0.360260
2021-09-10 05:51:56.635794 : Epoch  9, Batch    627, Loss  0.874995, Average Loss  0.867997, Time  0.364812
2021-09-10 05:51:58.444080 : Epoch  9, Batch    628, Loss  0.865245, Average Loss  0.867982, Time  0.358150
2021-09-10 05:52:00.259763 : Epoch  9, Batch    629, Loss  0.884716, Average Loss  0.868083, Time  0.364036
2021-09-10 05:52:02.049774 : Epoch  9, Batch    630, Loss  0.869041, Average Loss  0.868185, Time  0.366367
2021-09-10 05:52:03.863264 : Epoch  9, Batch    631, Loss  0.849567, Average Loss  0.868116, Time  0.378176
2021-09-10 05:52:05.634303 : Epoch  9, Batch    632, Loss  0.872534, Average Loss  0.868252, Time  0.358165
2021-09-10 05:52:07.428774 : Epoch  9, Batch    633, Loss  0.872293, Average Loss  0.868292, Time  0.375312
2021-09-10 05:52:09.195605 : Epoch  9, Batch    634, Loss  0.858181, Average Loss  0.868190, Time  0.364679
2021-09-10 05:52:10.993773 : Epoch  9, Batch    635, Loss  0.876057, Average Loss  0.868166, Time  0.374083
2021-09-10 05:52:12.815098 : Epoch  9, Batch    636, Loss  0.867216, Average Loss  0.868214, Time  0.364347
2021-09-10 05:52:14.651775 : Epoch  9, Batch    637, Loss  0.873968, Average Loss  0.868244, Time  0.364665
2021-09-10 05:52:16.455931 : Epoch  9, Batch    638, Loss  0.871500, Average Loss  0.868330, Time  0.366670
2021-09-10 05:52:18.243765 : Epoch  9, Batch    639, Loss  0.874158, Average Loss  0.868584, Time  0.376380
2021-09-10 05:52:20.021817 : Epoch  9, Batch    640, Loss  0.899351, Average Loss  0.868769, Time  0.360697
2021-09-10 05:52:21.829760 : Epoch  9, Batch    641, Loss  0.867725, Average Loss  0.868672, Time  0.368048
2021-09-10 05:52:23.640763 : Epoch  9, Batch    642, Loss  0.876820, Average Loss  0.868812, Time  0.360679
2021-09-10 05:52:25.414090 : Epoch  9, Batch    643, Loss  0.855459, Average Loss  0.868746, Time  0.365613
2021-09-10 05:52:27.174778 : Epoch  9, Batch    644, Loss  0.845753, Average Loss  0.868536, Time  0.358781
2021-09-10 05:52:28.969812 : Epoch  9, Batch    645, Loss  0.880778, Average Loss  0.868576, Time  0.367065
2021-09-10 05:52:30.808773 : Epoch  9, Batch    646, Loss  0.823661, Average Loss  0.868438, Time  0.360772
2021-09-10 05:52:32.616770 : Epoch  9, Batch    647, Loss  0.848931, Average Loss  0.868256, Time  0.359835
2021-09-10 05:52:34.409977 : Epoch  9, Batch    648, Loss  0.870838, Average Loss  0.868329, Time  0.359011
2021-09-10 05:52:36.194772 : Epoch  9, Batch    649, Loss  0.876828, Average Loss  0.868482, Time  0.365658
2021-09-10 05:52:37.977898 : Epoch  9, Batch    650, Loss  0.872173, Average Loss  0.868636, Time  0.365033
2021-09-10 05:52:39.777112 : Epoch  9, Batch    651, Loss  0.817520, Average Loss  0.868560, Time  0.376906
2021-09-10 05:52:41.559181 : Epoch  9, Batch    652, Loss  0.844186, Average Loss  0.868503, Time  0.367138
2021-09-10 05:52:43.354096 : Epoch  9, Batch    653, Loss  0.864906, Average Loss  0.868434, Time  0.366992
2021-09-10 05:52:45.135766 : Epoch  9, Batch    654, Loss  0.875564, Average Loss  0.868442, Time  0.360908
2021-09-10 05:52:46.925864 : Epoch  9, Batch    655, Loss  0.864586, Average Loss  0.868470, Time  0.366519
2021-09-10 05:52:48.727225 : Epoch  9, Batch    656, Loss  0.851974, Average Loss  0.868462, Time  0.370667
2021-09-10 05:52:50.527778 : Epoch  9, Batch    657, Loss  0.875216, Average Loss  0.868547, Time  0.372932
2021-09-10 05:52:52.325768 : Epoch  9, Batch    658, Loss  0.845435, Average Loss  0.868479, Time  0.358575
2021-09-10 05:52:54.141836 : Epoch  9, Batch    659, Loss  0.864318, Average Loss  0.868385, Time  0.373198
2021-09-10 05:52:55.902599 : Epoch  9, Batch    660, Loss  0.896316, Average Loss  0.868532, Time  0.358543
2021-09-10 05:52:57.687760 : Epoch  9, Batch    661, Loss  0.915068, Average Loss  0.868763, Time  0.375812
2021-09-10 05:52:59.463815 : Epoch  9, Batch    662, Loss  0.864549, Average Loss  0.868848, Time  0.372726
2021-09-10 05:53:01.252775 : Epoch  9, Batch    663, Loss  0.852117, Average Loss  0.868688, Time  0.370861
2021-09-10 05:53:03.037779 : Epoch  9, Batch    664, Loss  0.902555, Average Loss  0.868634, Time  0.358428
2021-09-10 05:53:04.863771 : Epoch  9, Batch    665, Loss  0.870810, Average Loss  0.868482, Time  0.364927
2021-09-10 05:53:06.667860 : Epoch  9, Batch    666, Loss  0.882819, Average Loss  0.868636, Time  0.365884
2021-09-10 05:53:08.462782 : Epoch  9, Batch    667, Loss  0.882456, Average Loss  0.868745, Time  0.374076
2021-09-10 05:53:10.232106 : Epoch  9, Batch    668, Loss  0.880722, Average Loss  0.868831, Time  0.363647
2021-09-10 05:53:12.054774 : Epoch  9, Batch    669, Loss  0.854855, Average Loss  0.868793, Time  0.370472
2021-09-10 05:53:13.857140 : Epoch  9, Batch    670, Loss  0.904724, Average Loss  0.868994, Time  0.367465
2021-09-10 05:53:15.646783 : Epoch  9, Batch    671, Loss  0.897738, Average Loss  0.869324, Time  0.369383
2021-09-10 05:53:17.415770 : Epoch  9, Batch    672, Loss  0.900835, Average Loss  0.869480, Time  0.364432
2021-09-10 05:53:19.216109 : Epoch  9, Batch    673, Loss  0.871057, Average Loss  0.869498, Time  0.377077
2021-09-10 05:53:21.003778 : Epoch  9, Batch    674, Loss  0.862997, Average Loss  0.869547, Time  0.357240
2021-09-10 05:53:22.821762 : Epoch  9, Batch    675, Loss  0.847180, Average Loss  0.869474, Time  0.367312
2021-09-10 05:53:24.619765 : Epoch  9, Batch    676, Loss  0.861037, Average Loss  0.869388, Time  0.359040
2021-09-10 05:53:26.415283 : Epoch  9, Batch    677, Loss  0.874314, Average Loss  0.869332, Time  0.364366
2021-09-10 05:53:28.222786 : Epoch  9, Batch    678, Loss  0.894424, Average Loss  0.869435, Time  0.358018
2021-09-10 05:53:30.050775 : Epoch  9, Batch    679, Loss  0.887759, Average Loss  0.869472, Time  0.368192
2021-09-10 05:53:31.937765 : Epoch  9, Batch    680, Loss  0.864511, Average Loss  0.869424, Time  0.359782
2021-09-10 05:53:33.748774 : Epoch  9, Batch    681, Loss  0.857370, Average Loss  0.869362, Time  0.360967
2021-09-10 05:53:35.526783 : Epoch  9, Batch    682, Loss  0.860995, Average Loss  0.869225, Time  0.365951
2021-09-10 05:53:37.307772 : Epoch  9, Batch    683, Loss  0.885782, Average Loss  0.869414, Time  0.367628
2021-09-10 05:53:39.106774 : Epoch  9, Batch    684, Loss  0.890530, Average Loss  0.869588, Time  0.358631
2021-09-10 05:53:40.893805 : Epoch  9, Batch    685, Loss  0.869141, Average Loss  0.869626, Time  0.361874
2021-09-10 05:53:42.681799 : Epoch  9, Batch    686, Loss  0.872241, Average Loss  0.869765, Time  0.366998
2021-09-10 05:53:44.484966 : Epoch  9, Batch    687, Loss  0.865247, Average Loss  0.869884, Time  0.368284
2021-09-10 05:53:46.283595 : Epoch  9, Batch    688, Loss  0.900209, Average Loss  0.870038, Time  0.360041
2021-09-10 05:53:48.090773 : Epoch  9, Batch    689, Loss  0.865705, Average Loss  0.870127, Time  0.385320
2021-09-10 05:53:49.914758 : Epoch  9, Batch    690, Loss  0.843561, Average Loss  0.870020, Time  0.382956
2021-09-10 05:53:51.715773 : Epoch  9, Batch    691, Loss  0.862280, Average Loss  0.869880, Time  0.360153
2021-09-10 05:53:53.530758 : Epoch  9, Batch    692, Loss  0.868468, Average Loss  0.869882, Time  0.359957
2021-09-10 05:53:55.329765 : Epoch  9, Batch    693, Loss  0.852386, Average Loss  0.869721, Time  0.363500
2021-09-10 05:53:57.124775 : Epoch  9, Batch    694, Loss  0.846232, Average Loss  0.869682, Time  0.364081
2021-09-10 05:53:58.940134 : Epoch  9, Batch    695, Loss  0.852499, Average Loss  0.869700, Time  0.388352
2021-09-10 05:54:00.820817 : Epoch  9, Batch    696, Loss  0.850878, Average Loss  0.869486, Time  0.408651
2021-09-10 05:54:02.628113 : Epoch  9, Batch    697, Loss  0.848130, Average Loss  0.869300, Time  0.398716
2021-09-10 05:54:04.433778 : Epoch  9, Batch    698, Loss  0.861622, Average Loss  0.869226, Time  0.357823
2021-09-10 05:54:06.255782 : Epoch  9, Batch    699, Loss  0.856434, Average Loss  0.869257, Time  0.374458
2021-09-10 05:54:08.040814 : Epoch  9, Batch    700, Loss  0.859377, Average Loss  0.869340, Time  0.366443
2021-09-10 05:54:09.853781 : Epoch  9, Batch    701, Loss  0.872576, Average Loss  0.869447, Time  0.380244
2021-09-10 05:54:11.641813 : Epoch  9, Batch    702, Loss  0.836503, Average Loss  0.869150, Time  0.359686
2021-09-10 05:54:13.462812 : Epoch  9, Batch    703, Loss  0.839574, Average Loss  0.868880, Time  0.367186
2021-09-10 05:54:15.262813 : Epoch  9, Batch    704, Loss  0.863845, Average Loss  0.868711, Time  0.368585
2021-09-10 05:54:17.057768 : Epoch  9, Batch    705, Loss  0.855722, Average Loss  0.868698, Time  0.368665
2021-09-10 05:54:18.839814 : Epoch  9, Batch    706, Loss  0.898159, Average Loss  0.868901, Time  0.360409
2021-09-10 05:54:20.629773 : Epoch  9, Batch    707, Loss  0.830464, Average Loss  0.868710, Time  0.380322
2021-09-10 05:54:22.443778 : Epoch  9, Batch    708, Loss  0.876459, Average Loss  0.868632, Time  0.363668
2021-09-10 05:54:24.241801 : Epoch  9, Batch    709, Loss  0.864600, Average Loss  0.868644, Time  0.370205
2021-09-10 05:54:26.036782 : Epoch  9, Batch    710, Loss  0.858519, Average Loss  0.868468, Time  0.365426
2021-09-10 05:54:27.811801 : Epoch  9, Batch    711, Loss  0.868729, Average Loss  0.868523, Time  0.363488
2021-09-10 05:54:29.602779 : Epoch  9, Batch    712, Loss  0.896620, Average Loss  0.868624, Time  0.358943
2021-09-10 05:59:19.054711 : CheckPoint: Validation Loss  0.00057658, Best Loss  0.00056427
2021-09-10 05:59:20.854787 : Epoch  9, Batch    713, Loss  0.878005, Average Loss  0.868557, Time  0.357802
2021-09-10 05:59:22.683801 : Epoch  9, Batch    714, Loss  0.868622, Average Loss  0.868426, Time  0.413238
2021-09-10 05:59:24.473986 : Epoch  9, Batch    715, Loss  0.862100, Average Loss  0.868244, Time  0.359641
2021-09-10 05:59:26.373171 : Epoch  9, Batch    716, Loss  0.886946, Average Loss  0.868483, Time  0.461598
2021-09-10 05:59:28.192828 : Epoch  9, Batch    717, Loss  0.893665, Average Loss  0.868566, Time  0.361856
2021-09-10 05:59:30.039094 : Epoch  9, Batch    718, Loss  0.870341, Average Loss  0.868499, Time  0.414677
2021-09-10 05:59:31.826725 : Epoch  9, Batch    719, Loss  0.850747, Average Loss  0.868347, Time  0.367347
2021-09-10 05:59:33.647114 : Epoch  9, Batch    720, Loss  0.901392, Average Loss  0.868423, Time  0.399614
2021-09-10 05:59:35.418763 : Epoch  9, Batch    721, Loss  0.861845, Average Loss  0.868517, Time  0.358141
2021-09-10 05:59:37.216769 : Epoch  9, Batch    722, Loss  0.870740, Average Loss  0.868490, Time  0.382620
2021-09-10 05:59:38.993758 : Epoch  9, Batch    723, Loss  0.909467, Average Loss  0.868552, Time  0.361215
2021-09-10 05:59:40.797104 : Epoch  9, Batch    724, Loss  0.859119, Average Loss  0.868494, Time  0.375841
2021-09-10 05:59:42.578779 : Epoch  9, Batch    725, Loss  0.853650, Average Loss  0.868446, Time  0.358328
2021-09-10 05:59:44.371117 : Epoch  9, Batch    726, Loss  0.826275, Average Loss  0.868209, Time  0.372777
2021-09-10 05:59:46.154268 : Epoch  9, Batch    727, Loss  0.915771, Average Loss  0.868296, Time  0.364762
2021-09-10 05:59:47.935440 : Epoch  9, Batch    728, Loss  0.878843, Average Loss  0.868323, Time  0.366597
2021-09-10 05:59:49.734897 : Epoch  9, Batch    729, Loss  0.842826, Average Loss  0.868234, Time  0.378097
2021-09-10 05:59:51.514112 : Epoch  9, Batch    730, Loss  0.880025, Average Loss  0.868302, Time  0.380254
2021-09-10 05:59:53.296815 : Epoch  9, Batch    731, Loss  0.870901, Average Loss  0.868387, Time  0.365367
2021-09-10 05:59:55.086188 : Epoch  9, Batch    732, Loss  0.870972, Average Loss  0.868305, Time  0.376513
2021-09-10 05:59:56.859805 : Epoch  9, Batch    733, Loss  0.876739, Average Loss  0.868383, Time  0.366401
2021-09-10 05:59:58.645643 : Epoch  9, Batch    734, Loss  0.904704, Average Loss  0.868507, Time  0.372557
2021-09-10 06:00:00.405108 : Epoch  9, Batch    735, Loss  0.879680, Average Loss  0.868597, Time  0.358931
2021-09-10 06:00:02.193104 : Epoch  9, Batch    736, Loss  0.886662, Average Loss  0.868586, Time  0.383285
2021-09-10 06:00:03.964781 : Epoch  9, Batch    737, Loss  0.844526, Average Loss  0.868308, Time  0.371407
2021-09-10 06:00:05.758770 : Epoch  9, Batch    738, Loss  0.859268, Average Loss  0.868320, Time  0.380351
2021-09-10 06:00:07.551826 : Epoch  9, Batch    739, Loss  0.843987, Average Loss  0.868375, Time  0.376802
2021-09-10 06:00:09.326772 : Epoch  9, Batch    740, Loss  0.863050, Average Loss  0.868463, Time  0.377912
2021-09-10 06:00:11.112131 : Epoch  9, Batch    741, Loss  0.882852, Average Loss  0.868564, Time  0.365414
2021-09-10 06:00:12.892773 : Epoch  9, Batch    742, Loss  0.881212, Average Loss  0.868688, Time  0.369725
2021-09-10 06:00:14.695774 : Epoch  9, Batch    743, Loss  0.887266, Average Loss  0.868655, Time  0.361260
2021-09-10 06:00:16.490773 : Epoch  9, Batch    744, Loss  0.893007, Average Loss  0.868726, Time  0.366706
2021-09-10 06:00:18.287778 : Epoch  9, Batch    745, Loss  0.901479, Average Loss  0.868795, Time  0.363909
2021-09-10 06:00:20.122766 : Epoch  9, Batch    746, Loss  0.878552, Average Loss  0.868740, Time  0.373734
2021-09-10 06:00:21.898368 : Epoch  9, Batch    747, Loss  0.862164, Average Loss  0.868554, Time  0.363751
2021-09-10 06:00:23.695809 : Epoch  9, Batch    748, Loss  0.872127, Average Loss  0.868411, Time  0.385693
2021-09-10 06:00:25.488791 : Epoch  9, Batch    749, Loss  0.876965, Average Loss  0.868491, Time  0.363600
2021-09-10 06:00:27.281765 : Epoch  9, Batch    750, Loss  0.879086, Average Loss  0.868445, Time  0.364797
2021-09-10 06:00:29.061867 : Epoch  9, Batch    751, Loss  0.874004, Average Loss  0.868441, Time  0.358642
2021-09-10 06:00:30.856765 : Epoch  9, Batch    752, Loss  0.864988, Average Loss  0.868467, Time  0.366218
2021-09-10 06:00:32.655772 : Epoch  9, Batch    753, Loss  0.876576, Average Loss  0.868532, Time  0.368081
2021-09-10 06:00:34.445114 : Epoch  9, Batch    754, Loss  0.886732, Average Loss  0.868683, Time  0.364280
2021-09-10 06:00:36.240204 : Epoch  9, Batch    755, Loss  0.874917, Average Loss  0.868843, Time  0.369932
2021-09-10 06:00:38.015820 : Epoch  9, Batch    756, Loss  0.853503, Average Loss  0.868910, Time  0.367977
2021-09-10 06:00:39.831881 : Epoch  9, Batch    757, Loss  0.868014, Average Loss  0.868935, Time  0.374817
2021-09-10 06:00:41.625264 : Epoch  9, Batch    758, Loss  0.865551, Average Loss  0.868777, Time  0.369143
2021-09-10 06:00:43.400232 : Epoch  9, Batch    759, Loss  0.865262, Average Loss  0.868827, Time  0.361149
2021-09-10 06:00:45.210780 : Epoch  9, Batch    760, Loss  0.838429, Average Loss  0.868793, Time  0.388183
2021-09-10 06:00:46.999765 : Epoch  9, Batch    761, Loss  0.872969, Average Loss  0.868779, Time  0.358012
2021-09-10 06:00:48.807783 : Epoch  9, Batch    762, Loss  0.897182, Average Loss  0.868876, Time  0.377724
2021-09-10 06:00:50.621918 : Epoch  9, Batch    763, Loss  0.860664, Average Loss  0.868886, Time  0.383010
2021-09-10 06:00:52.407805 : Epoch  9, Batch    764, Loss  0.873689, Average Loss  0.868912, Time  0.359095
2021-09-10 06:00:54.178671 : Epoch  9, Batch    765, Loss  0.874631, Average Loss  0.868950, Time  0.359512
2021-09-10 06:00:55.986099 : Epoch  9, Batch    766, Loss  0.854108, Average Loss  0.868874, Time  0.368104
2021-09-10 06:00:57.802827 : Epoch  9, Batch    767, Loss  0.907793, Average Loss  0.869078, Time  0.369670
2021-09-10 06:00:59.578762 : Epoch  9, Batch    768, Loss  0.888768, Average Loss  0.869124, Time  0.361118
2021-09-10 06:01:01.375090 : Epoch  9, Batch    769, Loss  0.890619, Average Loss  0.869305, Time  0.360001
2021-09-10 06:01:03.171090 : Epoch  9, Batch    770, Loss  0.852400, Average Loss  0.869159, Time  0.369534
2021-09-10 06:01:04.974782 : Epoch  9, Batch    771, Loss  0.866606, Average Loss  0.869329, Time  0.367973
2021-09-10 06:01:06.774181 : Epoch  9, Batch    772, Loss  0.879522, Average Loss  0.869362, Time  0.363981
2021-09-10 06:01:08.588772 : Epoch  9, Batch    773, Loss  0.857249, Average Loss  0.869458, Time  0.366115
2021-09-10 06:01:10.382505 : Epoch  9, Batch    774, Loss  0.842657, Average Loss  0.869360, Time  0.366240
2021-09-10 06:01:12.202776 : Epoch  9, Batch    775, Loss  0.884286, Average Loss  0.869409, Time  0.363337
2021-09-10 06:01:14.005761 : Epoch  9, Batch    776, Loss  0.890156, Average Loss  0.869539, Time  0.363068
2021-09-10 06:01:15.780780 : Epoch  9, Batch    777, Loss  0.890702, Average Loss  0.869651, Time  0.366040
2021-09-10 06:01:17.588103 : Epoch  9, Batch    778, Loss  0.839419, Average Loss  0.869552, Time  0.367065
2021-09-10 06:01:19.369867 : Epoch  9, Batch    779, Loss  0.882069, Average Loss  0.869578, Time  0.358957
2021-09-10 06:01:21.160765 : Epoch  9, Batch    780, Loss  0.868511, Average Loss  0.869670, Time  0.367130
2021-09-10 06:01:22.963775 : Epoch  9, Batch    781, Loss  0.876568, Average Loss  0.869821, Time  0.375316
2021-09-10 06:01:24.759344 : Epoch  9, Batch    782, Loss  0.884249, Average Loss  0.869880, Time  0.370950
2021-09-10 06:01:26.544781 : Epoch  9, Batch    783, Loss  0.851543, Average Loss  0.869958, Time  0.358756
2021-09-10 06:01:28.341823 : Epoch  9, Batch    784, Loss  0.855645, Average Loss  0.869839, Time  0.372012
2021-09-10 06:01:30.131761 : Epoch  9, Batch    785, Loss  0.904445, Average Loss  0.869961, Time  0.372570
2021-09-10 06:01:31.936107 : Epoch  9, Batch    786, Loss  0.877076, Average Loss  0.869991, Time  0.366462
2021-09-10 06:01:33.723800 : Epoch  9, Batch    787, Loss  0.870313, Average Loss  0.869871, Time  0.358359
2021-09-10 06:01:35.523826 : Epoch  9, Batch    788, Loss  0.859116, Average Loss  0.869695, Time  0.372018
2021-09-10 06:01:37.302771 : Epoch  9, Batch    789, Loss  0.878568, Average Loss  0.869884, Time  0.363184
2021-09-10 06:01:39.105765 : Epoch  9, Batch    790, Loss  0.860049, Average Loss  0.869763, Time  0.366528
2021-09-10 06:01:40.901762 : Epoch  9, Batch    791, Loss  0.864036, Average Loss  0.869755, Time  0.358083
2021-09-10 06:01:42.693109 : Epoch  9, Batch    792, Loss  0.857164, Average Loss  0.869717, Time  0.372418
2021-09-10 06:01:44.476779 : Epoch  9, Batch    793, Loss  0.907411, Average Loss  0.869905, Time  0.373527
2021-09-10 06:01:46.285774 : Epoch  9, Batch    794, Loss  0.863861, Average Loss  0.869844, Time  0.376025
2021-09-10 06:01:48.063375 : Epoch  9, Batch    795, Loss  0.874720, Average Loss  0.869877, Time  0.362880
2021-09-10 06:01:49.855775 : Epoch  9, Batch    796, Loss  0.830591, Average Loss  0.869801, Time  0.367500
2021-09-10 06:01:51.657763 : Epoch  9, Batch    797, Loss  0.866584, Average Loss  0.869833, Time  0.359527
2021-09-10 06:01:53.437387 : Epoch  9, Batch    798, Loss  0.863775, Average Loss  0.869890, Time  0.371939
2021-09-10 06:01:55.209817 : Epoch  9, Batch    799, Loss  0.869789, Average Loss  0.869891, Time  0.362450
2021-09-10 06:01:57.018103 : Epoch  9, Batch    800, Loss  0.874080, Average Loss  0.869886, Time  0.376146
2021-09-10 06:01:58.803774 : Epoch  9, Batch    801, Loss  0.828556, Average Loss  0.869604, Time  0.359675
2021-09-10 06:02:00.596416 : Epoch  9, Batch    802, Loss  0.838764, Average Loss  0.869486, Time  0.365230
2021-09-10 06:02:02.362464 : Epoch  9, Batch    803, Loss  0.855215, Average Loss  0.869434, Time  0.356978
2021-09-10 06:02:04.182784 : Epoch  9, Batch    804, Loss  0.879675, Average Loss  0.869446, Time  0.380813
2021-09-10 06:02:05.983818 : Epoch  9, Batch    805, Loss  0.877656, Average Loss  0.869482, Time  0.368781
2021-09-10 06:02:07.768817 : Epoch  9, Batch    806, Loss  0.894157, Average Loss  0.869738, Time  0.363301
2021-09-10 06:02:09.561773 : Epoch  9, Batch    807, Loss  0.847433, Average Loss  0.869587, Time  0.365018
2021-09-10 06:02:11.377770 : Epoch  9, Batch    808, Loss  0.874519, Average Loss  0.869620, Time  0.378193
2021-09-10 06:02:13.176118 : Epoch  9, Batch    809, Loss  0.877036, Average Loss  0.869620, Time  0.363891
2021-09-10 06:02:14.956621 : Epoch  9, Batch    810, Loss  0.876877, Average Loss  0.869562, Time  0.375048
2021-09-10 06:02:16.729102 : Epoch  9, Batch    811, Loss  0.844338, Average Loss  0.869449, Time  0.365276
2021-09-10 06:02:18.528767 : Epoch  9, Batch    812, Loss  0.882399, Average Loss  0.869615, Time  0.366885
2021-09-10 06:07:08.449736 : CheckPoint: Validation Loss  0.00058667, Best Loss  0.00056427
2021-09-10 06:07:10.293779 : Epoch  9, Batch    813, Loss  0.891979, Average Loss  0.869629, Time  0.427962
2021-09-10 06:07:12.170805 : Epoch  9, Batch    814, Loss  0.867748, Average Loss  0.869697, Time  0.459733
2021-09-10 06:07:13.947790 : Epoch  9, Batch    815, Loss  0.829797, Average Loss  0.869539, Time  0.355322
2021-09-10 06:07:15.737780 : Epoch  9, Batch    816, Loss  0.830604, Average Loss  0.869528, Time  0.361607
2021-09-10 06:07:17.540127 : Epoch  9, Batch    817, Loss  0.873049, Average Loss  0.869528, Time  0.393455
2021-09-10 06:07:19.427781 : Epoch  9, Batch    818, Loss  0.868460, Average Loss  0.869535, Time  0.459545
2021-09-10 06:07:21.216900 : Epoch  9, Batch    819, Loss  0.891605, Average Loss  0.869657, Time  0.362066
2021-09-10 06:07:23.024764 : Epoch  9, Batch    820, Loss  0.860847, Average Loss  0.869640, Time  0.358230
2021-09-10 06:07:24.844833 : Epoch  9, Batch    821, Loss  0.875174, Average Loss  0.869587, Time  0.361159
2021-09-10 06:07:26.753764 : Epoch  9, Batch    822, Loss  0.833092, Average Loss  0.869383, Time  0.452471
2021-09-10 06:07:28.561764 : Epoch  9, Batch    823, Loss  0.878398, Average Loss  0.869307, Time  0.375435
2021-09-10 06:07:30.324034 : Epoch  9, Batch    824, Loss  0.855364, Average Loss  0.869225, Time  0.354502
2021-09-10 06:07:32.126317 : Epoch  9, Batch    825, Loss  0.876970, Average Loss  0.869195, Time  0.374844
2021-09-10 06:07:33.995803 : Epoch  9, Batch    826, Loss  0.874682, Average Loss  0.869364, Time  0.453299
2021-09-10 06:07:35.873784 : Epoch  9, Batch    827, Loss  0.826982, Average Loss  0.869124, Time  0.461736
2021-09-10 06:07:37.668106 : Epoch  9, Batch    828, Loss  0.847963, Average Loss  0.869037, Time  0.365127
2021-09-10 06:07:39.468765 : Epoch  9, Batch    829, Loss  0.874705, Average Loss  0.868987, Time  0.356633
2021-09-10 06:07:41.302762 : Epoch  9, Batch    830, Loss  0.858800, Average Loss  0.868936, Time  0.397660
2021-09-10 06:07:43.174001 : Epoch  9, Batch    831, Loss  0.865591, Average Loss  0.869016, Time  0.465868
2021-09-10 06:07:44.955088 : Epoch  9, Batch    832, Loss  0.874860, Average Loss  0.869028, Time  0.365198
2021-09-10 06:07:46.717106 : Epoch  9, Batch    833, Loss  0.863376, Average Loss  0.868983, Time  0.357475
2021-09-10 06:07:48.531092 : Epoch  9, Batch    834, Loss  0.878525, Average Loss  0.869085, Time  0.398410
2021-09-10 06:07:50.413761 : Epoch  9, Batch    835, Loss  0.898593, Average Loss  0.869197, Time  0.458017
2021-09-10 06:07:52.198761 : Epoch  9, Batch    836, Loss  0.869369, Average Loss  0.869208, Time  0.357628
2021-09-10 06:07:53.984036 : Epoch  9, Batch    837, Loss  0.898753, Average Loss  0.869332, Time  0.356520
2021-09-10 06:07:55.784043 : Epoch  9, Batch    838, Loss  0.887110, Average Loss  0.869410, Time  0.389541
2021-09-10 06:07:57.661772 : Epoch  9, Batch    839, Loss  0.896292, Average Loss  0.869521, Time  0.469517
2021-09-10 06:07:59.448816 : Epoch  9, Batch    840, Loss  0.864492, Average Loss  0.869347, Time  0.356673
2021-09-10 06:08:01.244763 : Epoch  9, Batch    841, Loss  0.859770, Average Loss  0.869307, Time  0.370066
2021-09-10 06:08:03.052798 : Epoch  9, Batch    842, Loss  0.878782, Average Loss  0.869317, Time  0.381184
2021-09-10 06:08:04.949984 : Epoch  9, Batch    843, Loss  0.875463, Average Loss  0.869417, Time  0.455503
2021-09-10 06:08:06.809038 : Epoch  9, Batch    844, Loss  0.901122, Average Loss  0.869693, Time  0.417954
2021-09-10 06:08:08.599814 : Epoch  9, Batch    845, Loss  0.854916, Average Loss  0.869564, Time  0.358243
2021-09-10 06:08:10.385476 : Epoch  9, Batch    846, Loss  0.880344, Average Loss  0.869848, Time  0.363883
2021-09-10 06:08:12.248932 : Epoch  9, Batch    847, Loss  0.906772, Average Loss  0.870137, Time  0.430855
2021-09-10 06:08:14.162763 : Epoch  9, Batch    848, Loss  0.892012, Average Loss  0.870243, Time  0.471132
2021-09-10 06:08:15.971441 : Epoch  9, Batch    849, Loss  0.868296, Average Loss  0.870200, Time  0.374073
2021-09-10 06:08:17.784942 : Epoch  9, Batch    850, Loss  0.836801, Average Loss  0.870023, Time  0.377349
2021-09-10 06:08:19.572912 : Epoch  9, Batch    851, Loss  0.867119, Average Loss  0.870271, Time  0.359078
2021-09-10 06:08:21.445774 : Epoch  9, Batch    852, Loss  0.864026, Average Loss  0.870370, Time  0.458441
2021-09-10 06:08:23.339883 : Epoch  9, Batch    853, Loss  0.855958, Average Loss  0.870326, Time  0.449212
2021-09-10 06:08:25.127148 : Epoch  9, Batch    854, Loss  0.882024, Average Loss  0.870358, Time  0.358555
2021-09-10 06:08:26.899794 : Epoch  9, Batch    855, Loss  0.830807, Average Loss  0.870189, Time  0.358824
2021-09-10 06:08:28.731778 : Epoch  9, Batch    856, Loss  0.845229, Average Loss  0.870155, Time  0.401279
2021-09-10 06:08:30.653922 : Epoch  9, Batch    857, Loss  0.863822, Average Loss  0.870098, Time  0.454515
2021-09-10 06:08:32.469811 : Epoch  9, Batch    858, Loss  0.875849, Average Loss  0.870250, Time  0.387013
2021-09-10 06:08:34.273820 : Epoch  9, Batch    859, Loss  0.864502, Average Loss  0.870251, Time  0.357917
2021-09-10 06:08:36.065840 : Epoch  9, Batch    860, Loss  0.866781, Average Loss  0.870104, Time  0.358324
2021-09-10 06:08:37.944820 : Epoch  9, Batch    861, Loss  0.870329, Average Loss  0.869880, Time  0.449045
2021-09-10 06:08:39.847773 : Epoch  9, Batch    862, Loss  0.875495, Average Loss  0.869935, Time  0.462915
2021-09-10 06:08:41.634947 : Epoch  9, Batch    863, Loss  0.872986, Average Loss  0.870039, Time  0.358762
2021-09-10 06:08:43.451804 : Epoch  9, Batch    864, Loss  0.839080, Average Loss  0.869722, Time  0.364885
2021-09-10 06:08:45.251836 : Epoch  9, Batch    865, Loss  0.886258, Average Loss  0.869799, Time  0.372122
2021-09-10 06:08:47.131899 : Epoch  9, Batch    866, Loss  0.872875, Average Loss  0.869749, Time  0.452945
2021-09-10 06:08:48.914792 : Epoch  9, Batch    867, Loss  0.881958, Average Loss  0.869747, Time  0.335820
2021-09-10 06:08:50.704775 : Epoch  9, Batch    868, Loss  0.879819, Average Loss  0.869742, Time  0.363813
2021-09-10 06:08:52.483829 : Epoch  9, Batch    869, Loss  0.875084, Average Loss  0.869843, Time  0.360738
2021-09-10 06:08:54.350150 : Epoch  9, Batch    870, Loss  0.881208, Average Loss  0.869726, Time  0.454732
2021-09-10 06:08:56.164487 : Epoch  9, Batch    871, Loss  0.881310, Average Loss  0.869644, Time  0.361748
2021-09-10 06:08:57.965944 : Epoch  9, Batch    872, Loss  0.868601, Average Loss  0.869482, Time  0.358529
2021-09-10 06:08:59.779110 : Epoch  9, Batch    873, Loss  0.895534, Average Loss  0.869605, Time  0.363461
2021-09-10 06:09:01.684814 : Epoch  9, Batch    874, Loss  0.879975, Average Loss  0.869690, Time  0.454027
2021-09-10 06:09:03.526783 : Epoch  9, Batch    875, Loss  0.872540, Average Loss  0.869816, Time  0.368085
2021-09-10 06:09:05.343814 : Epoch  9, Batch    876, Loss  0.857778, Average Loss  0.869800, Time  0.355663
2021-09-10 06:09:07.165780 : Epoch  9, Batch    877, Loss  0.902238, Average Loss  0.869940, Time  0.357720
2021-09-10 06:09:09.117847 : Epoch  9, Batch    878, Loss  0.897414, Average Loss  0.869955, Time  0.456092
2021-09-10 06:09:11.007778 : Epoch  9, Batch    879, Loss  0.864393, Average Loss  0.869838, Time  0.448936
2021-09-10 06:09:12.836904 : Epoch  9, Batch    880, Loss  0.861508, Average Loss  0.869823, Time  0.358782
2021-09-10 06:09:14.646760 : Epoch  9, Batch    881, Loss  0.877250, Average Loss  0.869922, Time  0.357065
2021-09-10 06:09:16.494897 : Epoch  9, Batch    882, Loss  0.854178, Average Loss  0.869888, Time  0.382025
2021-09-10 06:09:18.403773 : Epoch  9, Batch    883, Loss  0.836045, Average Loss  0.869639, Time  0.451474
2021-09-10 06:09:20.282775 : Epoch  9, Batch    884, Loss  0.848677, Average Loss  0.869430, Time  0.414789
2021-09-10 06:09:22.095016 : Epoch  9, Batch    885, Loss  0.861730, Average Loss  0.869393, Time  0.359949
2021-09-10 06:09:23.906778 : Epoch  9, Batch    886, Loss  0.858892, Average Loss  0.869326, Time  0.357480
2021-09-10 06:09:25.763078 : Epoch  9, Batch    887, Loss  0.853495, Average Loss  0.869268, Time  0.412658
2021-09-10 06:09:27.676781 : Epoch  9, Batch    888, Loss  0.877163, Average Loss  0.869152, Time  0.449873
2021-09-10 06:09:29.483062 : Epoch  9, Batch    889, Loss  0.872472, Average Loss  0.869186, Time  0.346108
2021-09-10 06:09:31.287849 : Epoch  9, Batch    890, Loss  0.863921, Average Loss  0.869288, Time  0.355834
2021-09-10 06:09:33.081113 : Epoch  9, Batch    891, Loss  0.877338, Average Loss  0.869363, Time  0.357561
2021-09-10 06:09:34.985766 : Epoch  9, Batch    892, Loss  0.892566, Average Loss  0.869484, Time  0.460629
2021-09-10 06:09:36.854784 : Epoch  9, Batch    893, Loss  0.886450, Average Loss  0.869654, Time  0.444826
2021-09-10 06:09:38.647839 : Epoch  9, Batch    894, Loss  0.858711, Average Loss  0.869717, Time  0.368403
2021-09-10 06:09:40.422909 : Epoch  9, Batch    895, Loss  0.870281, Average Loss  0.869805, Time  0.356278
2021-09-10 06:09:42.271766 : Epoch  9, Batch    896, Loss  0.865237, Average Loss  0.869877, Time  0.411488
2021-09-10 06:09:44.175852 : Epoch  9, Batch    897, Loss  0.855519, Average Loss  0.869914, Time  0.450088
2021-09-10 06:09:45.972766 : Epoch  9, Batch    898, Loss  0.905713, Average Loss  0.870135, Time  0.349610
2021-09-10 06:09:47.776850 : Epoch  9, Batch    899, Loss  0.870746, Average Loss  0.870206, Time  0.356795
2021-09-10 06:09:49.628031 : Epoch  9, Batch    900, Loss  0.863805, Average Loss  0.870228, Time  0.366684
2021-09-10 06:09:51.538833 : Epoch  9, Batch    901, Loss  0.872846, Average Loss  0.870230, Time  0.460928
2021-09-10 06:09:53.399780 : Epoch  9, Batch    902, Loss  0.866097, Average Loss  0.870378, Time  0.419368
2021-09-10 06:09:55.211062 : Epoch  9, Batch    903, Loss  0.859134, Average Loss  0.870475, Time  0.356876
2021-09-10 06:09:57.022933 : Epoch  9, Batch    904, Loss  0.888817, Average Loss  0.870600, Time  0.358057
2021-09-10 06:09:58.881103 : Epoch  9, Batch    905, Loss  0.889842, Average Loss  0.870771, Time  0.415272
2021-09-10 06:10:00.778760 : Epoch  9, Batch    906, Loss  0.883076, Average Loss  0.870696, Time  0.457452
2021-09-10 06:10:02.573077 : Epoch  9, Batch    907, Loss  0.843926, Average Loss  0.870763, Time  0.356946
2021-09-10 06:10:04.382905 : Epoch  9, Batch    908, Loss  0.874437, Average Loss  0.870753, Time  0.356933
2021-09-10 06:10:06.202967 : Epoch  9, Batch    909, Loss  0.866251, Average Loss  0.870761, Time  0.362219
2021-09-10 06:10:08.064770 : Epoch  9, Batch    910, Loss  0.880490, Average Loss  0.870871, Time  0.451859
2021-09-10 06:10:09.865224 : Epoch  9, Batch    911, Loss  0.850823, Average Loss  0.870781, Time  0.356024
2021-09-10 06:10:11.634570 : Epoch  9, Batch    912, Loss  0.874153, Average Loss  0.870669, Time  0.357130
2021-09-10 06:15:02.582715 : CheckPoint: Validation Loss  0.00058456, Best Loss  0.00056427
2021-09-10 06:15:04.389781 : Epoch  9, Batch    913, Loss  0.869745, Average Loss  0.870628, Time  0.357541
2021-09-10 06:15:06.252780 : Epoch  9, Batch    914, Loss  0.859662, Average Loss  0.870583, Time  0.411592
2021-09-10 06:15:08.149141 : Epoch  9, Batch    915, Loss  0.837201, Average Loss  0.870458, Time  0.450639
2021-09-10 06:15:09.956063 : Epoch  9, Batch    916, Loss  0.891252, Average Loss  0.870480, Time  0.345707
2021-09-10 06:15:11.777059 : Epoch  9, Batch    917, Loss  0.862708, Average Loss  0.870325, Time  0.359125
2021-09-10 06:15:13.590781 : Epoch  9, Batch    918, Loss  0.834091, Average Loss  0.870144, Time  0.357071
2021-09-10 06:15:15.478769 : Epoch  9, Batch    919, Loss  0.889908, Average Loss  0.870340, Time  0.451396
2021-09-10 06:15:17.345069 : Epoch  9, Batch    920, Loss  0.895185, Average Loss  0.870309, Time  0.447642
2021-09-10 06:15:19.132758 : Epoch  9, Batch    921, Loss  0.851407, Average Loss  0.870256, Time  0.362353
2021-09-10 06:15:20.931097 : Epoch  9, Batch    922, Loss  0.852406, Average Loss  0.870165, Time  0.356593
2021-09-10 06:15:22.783109 : Epoch  9, Batch    923, Loss  0.902898, Average Loss  0.870132, Time  0.415529
2021-09-10 06:15:24.666226 : Epoch  9, Batch    924, Loss  0.872290, Average Loss  0.870198, Time  0.457307
2021-09-10 06:15:26.461080 : Epoch  9, Batch    925, Loss  0.875150, Average Loss  0.870305, Time  0.356207
2021-09-10 06:15:28.262168 : Epoch  9, Batch    926, Loss  0.874083, Average Loss  0.870544, Time  0.357255
2021-09-10 06:15:30.067772 : Epoch  9, Batch    927, Loss  0.871050, Average Loss  0.870321, Time  0.367413
2021-09-10 06:15:31.965168 : Epoch  9, Batch    928, Loss  0.863009, Average Loss  0.870242, Time  0.451236
2021-09-10 06:15:33.739938 : Epoch  9, Batch    929, Loss  0.851808, Average Loss  0.870286, Time  0.336392
2021-09-10 06:15:35.540072 : Epoch  9, Batch    930, Loss  0.870486, Average Loss  0.870239, Time  0.356277
2021-09-10 06:15:37.323303 : Epoch  9, Batch    931, Loss  0.909935, Average Loss  0.870434, Time  0.356164
2021-09-10 06:15:39.202216 : Epoch  9, Batch    932, Loss  0.866433, Average Loss  0.870411, Time  0.460669
2021-09-10 06:15:41.007228 : Epoch  9, Batch    933, Loss  0.876603, Average Loss  0.870411, Time  0.350384
2021-09-10 06:15:42.790820 : Epoch  9, Batch    934, Loss  0.864673, Average Loss  0.870210, Time  0.363879
2021-09-10 06:15:44.589899 : Epoch  9, Batch    935, Loss  0.885443, Average Loss  0.870239, Time  0.372596
2021-09-10 06:15:46.489765 : Epoch  9, Batch    936, Loss  0.856502, Average Loss  0.870088, Time  0.452034
2021-09-10 06:15:48.271223 : Epoch  9, Batch    937, Loss  0.875997, Average Loss  0.870246, Time  0.364815
2021-09-10 06:15:50.045071 : Epoch  9, Batch    938, Loss  0.861190, Average Loss  0.870255, Time  0.356537
2021-09-10 06:15:51.941081 : Epoch  9, Batch    939, Loss  0.862526, Average Loss  0.870348, Time  0.452790
2021-09-10 06:15:53.812944 : Epoch  9, Batch    940, Loss  0.861303, Average Loss  0.870339, Time  0.421424
2021-09-10 06:15:55.620777 : Epoch  9, Batch    941, Loss  0.881196, Average Loss  0.870331, Time  0.358118
2021-09-10 06:15:57.410823 : Epoch  9, Batch    942, Loss  0.856388, Average Loss  0.870207, Time  0.356792
2021-09-10 06:15:59.270173 : Epoch  9, Batch    943, Loss  0.889602, Average Loss  0.870219, Time  0.411071
2021-09-10 06:16:01.152786 : Epoch  9, Batch    944, Loss  0.890665, Average Loss  0.870207, Time  0.451666
2021-09-10 06:16:02.995947 : Epoch  9, Batch    945, Loss  0.858142, Average Loss  0.869990, Time  0.357128
2021-09-10 06:16:04.781776 : Epoch  9, Batch    946, Loss  0.879228, Average Loss  0.869994, Time  0.357856
2021-09-10 06:16:06.599779 : Epoch  9, Batch    947, Loss  0.855461, Average Loss  0.869960, Time  0.363447
2021-09-10 06:16:08.502887 : Epoch  9, Batch    948, Loss  0.939419, Average Loss  0.870297, Time  0.452368
2021-09-10 06:16:10.377071 : Epoch  9, Batch    949, Loss  0.850218, Average Loss  0.870163, Time  0.420153
2021-09-10 06:16:12.184185 : Epoch  9, Batch    950, Loss  0.858089, Average Loss  0.870058, Time  0.360536
2021-09-10 06:16:13.992077 : Epoch  9, Batch    951, Loss  0.906430, Average Loss  0.870220, Time  0.359014
2021-09-10 06:16:15.858865 : Epoch  9, Batch    952, Loss  0.875999, Average Loss  0.870275, Time  0.422048
2021-09-10 06:16:17.764107 : Epoch  9, Batch    953, Loss  0.897975, Average Loss  0.870382, Time  0.479159
2021-09-10 06:16:19.554782 : Epoch  9, Batch    954, Loss  0.863492, Average Loss  0.870266, Time  0.355934
2021-09-10 06:16:21.359035 : Epoch  9, Batch    955, Loss  0.885498, Average Loss  0.870319, Time  0.357040
2021-09-10 06:16:23.172782 : Epoch  9, Batch    956, Loss  0.899582, Average Loss  0.870549, Time  0.366696
2021-09-10 06:16:25.093871 : Epoch  9, Batch    957, Loss  0.870292, Average Loss  0.870561, Time  0.451802
2021-09-10 06:16:26.942908 : Epoch  9, Batch    958, Loss  0.897725, Average Loss  0.870721, Time  0.411675
2021-09-10 06:16:28.726857 : Epoch  9, Batch    959, Loss  0.877518, Average Loss  0.870783, Time  0.355848
2021-09-10 06:16:30.519974 : Epoch  9, Batch    960, Loss  0.838217, Average Loss  0.870782, Time  0.355879
2021-09-10 06:16:32.390946 : Epoch  9, Batch    961, Loss  0.850638, Average Loss  0.870670, Time  0.439930
2021-09-10 06:16:34.270785 : Epoch  9, Batch    962, Loss  0.906101, Average Loss  0.870715, Time  0.451104
2021-09-10 06:16:36.066931 : Epoch  9, Batch    963, Loss  0.860972, Average Loss  0.870716, Time  0.356285
2021-09-10 06:16:37.860333 : Epoch  9, Batch    964, Loss  0.870133, Average Loss  0.870698, Time  0.360688
2021-09-10 06:16:39.669860 : Epoch  9, Batch    965, Loss  0.891440, Average Loss  0.870782, Time  0.373514
2021-09-10 06:16:41.583759 : Epoch  9, Batch    966, Loss  0.877759, Average Loss  0.870901, Time  0.452202
2021-09-10 06:16:43.357787 : Epoch  9, Batch    967, Loss  0.870115, Average Loss  0.870712, Time  0.335523
2021-09-10 06:16:45.150883 : Epoch  9, Batch    968, Loss  0.842805, Average Loss  0.870482, Time  0.357623
2021-09-10 06:16:46.963764 : Epoch  9, Batch    969, Loss  0.904251, Average Loss  0.870551, Time  0.360817
2021-09-10 06:16:48.848847 : Epoch  9, Batch    970, Loss  0.909970, Average Loss  0.870838, Time  0.458464
2021-09-10 06:16:50.630775 : Epoch  9, Batch    971, Loss  0.896620, Average Loss  0.870988, Time  0.354428
2021-09-10 06:16:52.407104 : Epoch  9, Batch    972, Loss  0.884537, Average Loss  0.871014, Time  0.362664
2021-09-10 06:16:54.194775 : Epoch  9, Batch    973, Loss  0.905667, Average Loss  0.871256, Time  0.359749
2021-09-10 06:16:56.099865 : Epoch  9, Batch    974, Loss  0.864503, Average Loss  0.871365, Time  0.466753
2021-09-10 06:16:57.954255 : Epoch  9, Batch    975, Loss  0.847506, Average Loss  0.871181, Time  0.421340
2021-09-10 06:16:59.722787 : Epoch  9, Batch    976, Loss  0.852312, Average Loss  0.870992, Time  0.364589
2021-09-10 06:17:01.509975 : Epoch  9, Batch    977, Loss  0.897246, Average Loss  0.871024, Time  0.374974
2021-09-10 06:17:03.409772 : Epoch  9, Batch    978, Loss  0.887510, Average Loss  0.871265, Time  0.451203
2021-09-10 06:17:05.301944 : Epoch  9, Batch    979, Loss  0.905564, Average Loss  0.871382, Time  0.463895
2021-09-10 06:17:07.091815 : Epoch  9, Batch    980, Loss  0.854638, Average Loss  0.871313, Time  0.363370
2021-09-10 06:17:08.858018 : Epoch  9, Batch    981, Loss  0.868831, Average Loss  0.871274, Time  0.357111
2021-09-10 06:17:10.647782 : Epoch  9, Batch    982, Loss  0.856882, Average Loss  0.871138, Time  0.374508
2021-09-10 06:17:12.556035 : Epoch  9, Batch    983, Loss  0.862379, Average Loss  0.871192, Time  0.467570
2021-09-10 06:17:14.333959 : Epoch  9, Batch    984, Loss  0.880501, Average Loss  0.871316, Time  0.353624
2021-09-10 06:17:16.106760 : Epoch  9, Batch    985, Loss  0.867807, Average Loss  0.871133, Time  0.366333
2021-09-10 06:17:17.894896 : Epoch  9, Batch    986, Loss  0.906070, Average Loss  0.871278, Time  0.356313
2021-09-10 06:17:19.757832 : Epoch  9, Batch    987, Loss  0.872674, Average Loss  0.871290, Time  0.457147
2021-09-10 06:17:21.559140 : Epoch  9, Batch    988, Loss  0.873098, Average Loss  0.871359, Time  0.395046
2021-09-10 06:17:23.348093 : Epoch  9, Batch    989, Loss  0.845259, Average Loss  0.871193, Time  0.362166
2021-09-10 06:17:25.117940 : Epoch  9, Batch    990, Loss  0.864823, Average Loss  0.871217, Time  0.360947
2021-09-10 06:17:26.980763 : Epoch  9, Batch    991, Loss  0.865837, Average Loss  0.871226, Time  0.447034
2021-09-10 06:17:28.851952 : Epoch  9, Batch    992, Loss  0.854368, Average Loss  0.871212, Time  0.449590
2021-09-10 06:17:30.637165 : Epoch  9, Batch    993, Loss  0.873938, Average Loss  0.871044, Time  0.361271
2021-09-10 06:17:32.417764 : Epoch  9, Batch    994, Loss  0.882681, Average Loss  0.871139, Time  0.356803
2021-09-10 06:17:34.244510 : Epoch  9, Batch    995, Loss  0.842006, Average Loss  0.870975, Time  0.403336
2021-09-10 06:17:36.123777 : Epoch  9, Batch    996, Loss  0.859496, Average Loss  0.871120, Time  0.462692
2021-09-10 06:17:37.905229 : Epoch  9, Batch    997, Loss  0.869494, Average Loss  0.871134, Time  0.361326
2021-09-10 06:17:39.679515 : Epoch  9, Batch    998, Loss  0.875670, Average Loss  0.871194, Time  0.367071
2021-09-10 06:17:41.493233 : Epoch  9, Batch    999, Loss  0.875128, Average Loss  0.871220, Time  0.383214
2021-09-10 06:17:43.370454 : Epoch  9, Batch   1000, Loss  0.860770, Average Loss  0.871154, Time  0.461254
2021-09-10 06:17:45.161817 : Epoch  9, Batch   1001, Loss  0.871265, Average Loss  0.871367, Time  0.359653
2021-09-10 06:17:47.012779 : Epoch  9, Batch   1002, Loss  0.862547, Average Loss  0.871486, Time  0.364350
2021-09-10 06:17:48.795870 : Epoch  9, Batch   1003, Loss  0.855376, Average Loss  0.871487, Time  0.363139
2021-09-10 06:17:50.694781 : Epoch  9, Batch   1004, Loss  0.911248, Average Loss  0.871645, Time  0.465036
2021-09-10 06:17:52.506901 : Epoch  9, Batch   1005, Loss  0.871380, Average Loss  0.871613, Time  0.377612
2021-09-10 06:17:54.293822 : Epoch  9, Batch   1006, Loss  0.867447, Average Loss  0.871480, Time  0.364718
2021-09-10 06:17:56.089241 : Epoch  9, Batch   1007, Loss  0.858813, Average Loss  0.871537, Time  0.361108
2021-09-10 06:17:57.989183 : Epoch  9, Batch   1008, Loss  0.865515, Average Loss  0.871492, Time  0.454068
2021-09-10 06:17:59.882787 : Epoch  9, Batch   1009, Loss  0.865901, Average Loss  0.871436, Time  0.448353
2021-09-10 06:18:01.689869 : Epoch  9, Batch   1010, Loss  0.896085, Average Loss  0.871532, Time  0.364300
2021-09-10 06:18:03.459789 : Epoch  9, Batch   1011, Loss  0.885185, Average Loss  0.871736, Time  0.363062
2021-09-10 06:18:05.291852 : Epoch  9, Batch   1012, Loss  0.892456, Average Loss  0.871787, Time  0.394304
2021-09-10 06:22:55.336708 : CheckPoint: Validation Loss  0.00061657, Best Loss  0.00056427
2021-09-10 06:22:57.231765 : Epoch  9, Batch   1013, Loss  0.852280, Average Loss  0.871588, Time  0.452727
2021-09-10 06:22:59.034776 : Epoch  9, Batch   1014, Loss  0.861825, Average Loss  0.871559, Time  0.348434
2021-09-10 06:23:00.843769 : Epoch  9, Batch   1015, Loss  0.890675, Average Loss  0.871863, Time  0.357203
2021-09-10 06:23:02.629779 : Epoch  9, Batch   1016, Loss  0.894358, Average Loss  0.872182, Time  0.364780
2021-09-10 06:23:04.537776 : Epoch  9, Batch   1017, Loss  0.877668, Average Loss  0.872205, Time  0.453493
2021-09-10 06:23:06.331818 : Epoch  9, Batch   1018, Loss  0.861991, Average Loss  0.872172, Time  0.364591
2021-09-10 06:23:08.135064 : Epoch  9, Batch   1019, Loss  0.859819, Average Loss  0.872014, Time  0.358429
2021-09-10 06:23:09.993125 : Epoch  9, Batch   1020, Loss  0.855660, Average Loss  0.871988, Time  0.393896
2021-09-10 06:23:11.892781 : Epoch  9, Batch   1021, Loss  0.844383, Average Loss  0.871834, Time  0.449473
2021-09-10 06:23:13.680902 : Epoch  9, Batch   1022, Loss  0.901030, Average Loss  0.872173, Time  0.335344
2021-09-10 06:23:15.496777 : Epoch  9, Batch   1023, Loss  0.870482, Average Loss  0.872134, Time  0.356673
2021-09-10 06:23:17.309111 : Epoch  9, Batch   1024, Loss  0.865785, Average Loss  0.872186, Time  0.366917
2021-09-10 06:23:19.204785 : Epoch  9, Batch   1025, Loss  0.883273, Average Loss  0.872217, Time  0.468856
2021-09-10 06:23:21.059105 : Epoch  9, Batch   1026, Loss  0.865897, Average Loss  0.872173, Time  0.414962
2021-09-10 06:23:22.859777 : Epoch  9, Batch   1027, Loss  0.859495, Average Loss  0.872336, Time  0.358887
2021-09-10 06:23:24.673777 : Epoch  9, Batch   1028, Loss  0.871659, Average Loss  0.872454, Time  0.365584
2021-09-10 06:23:26.544775 : Epoch  9, Batch   1029, Loss  0.865709, Average Loss  0.872409, Time  0.426896
2021-09-10 06:23:28.449097 : Epoch  9, Batch   1030, Loss  0.871965, Average Loss  0.872475, Time  0.453411
2021-09-10 06:23:30.245109 : Epoch  9, Batch   1031, Loss  0.883538, Average Loss  0.872565, Time  0.367979
2021-09-10 06:23:32.051772 : Epoch  9, Batch   1032, Loss  0.872054, Average Loss  0.872551, Time  0.363899
2021-09-10 06:23:33.903091 : Epoch  9, Batch   1033, Loss  0.877122, Average Loss  0.872620, Time  0.361407
2021-09-10 06:23:35.813777 : Epoch  9, Batch   1034, Loss  0.873666, Average Loss  0.872595, Time  0.461021
2021-09-10 06:23:37.668783 : Epoch  9, Batch   1035, Loss  0.869091, Average Loss  0.872448, Time  0.419332
2021-09-10 06:23:39.453779 : Epoch  9, Batch   1036, Loss  0.889935, Average Loss  0.872551, Time  0.356866
2021-09-10 06:23:41.255753 : Epoch  9, Batch   1037, Loss  0.858606, Average Loss  0.872350, Time  0.369173
2021-09-10 06:23:43.118361 : Epoch  9, Batch   1038, Loss  0.860101, Average Loss  0.872215, Time  0.431079
2021-09-10 06:23:45.014773 : Epoch  9, Batch   1039, Loss  0.869297, Average Loss  0.872080, Time  0.450229
2021-09-10 06:23:46.805761 : Epoch  9, Batch   1040, Loss  0.823823, Average Loss  0.871877, Time  0.357518
2021-09-10 06:23:48.611781 : Epoch  9, Batch   1041, Loss  0.839027, Average Loss  0.871773, Time  0.364484
2021-09-10 06:23:50.444782 : Epoch  9, Batch   1042, Loss  0.871646, Average Loss  0.871737, Time  0.371454
2021-09-10 06:23:52.354764 : Epoch  9, Batch   1043, Loss  0.868569, Average Loss  0.871703, Time  0.452580
2021-09-10 06:23:54.227780 : Epoch  9, Batch   1044, Loss  0.866054, Average Loss  0.871527, Time  0.411973
2021-09-10 06:23:56.010774 : Epoch  9, Batch   1045, Loss  0.847798, Average Loss  0.871492, Time  0.356627
2021-09-10 06:23:57.801767 : Epoch  9, Batch   1046, Loss  0.860685, Average Loss  0.871394, Time  0.364219
2021-09-10 06:23:59.695764 : Epoch  9, Batch   1047, Loss  0.851744, Average Loss  0.871118, Time  0.451831
2021-09-10 06:24:01.581235 : Epoch  9, Batch   1048, Loss  0.863797, Average Loss  0.870977, Time  0.454554
2021-09-10 06:24:03.389774 : Epoch  9, Batch   1049, Loss  0.906984, Average Loss  0.871171, Time  0.344814
2021-09-10 06:24:05.169775 : Epoch  9, Batch   1050, Loss  0.885240, Average Loss  0.871413, Time  0.359532
2021-09-10 06:24:06.969773 : Epoch  9, Batch   1051, Loss  0.860439, Average Loss  0.871380, Time  0.374202
2021-09-10 06:24:08.868758 : Epoch  9, Batch   1052, Loss  0.844835, Average Loss  0.871284, Time  0.452800
2021-09-10 06:24:10.727777 : Epoch  9, Batch   1053, Loss  0.855232, Average Loss  0.871280, Time  0.418515
2021-09-10 06:24:12.501761 : Epoch  9, Batch   1054, Loss  0.901307, Average Loss  0.871376, Time  0.356824
2021-09-10 06:24:14.280793 : Epoch  9, Batch   1055, Loss  0.843176, Average Loss  0.871438, Time  0.354692
2021-09-10 06:24:16.149096 : Epoch  9, Batch   1056, Loss  0.870345, Average Loss  0.871564, Time  0.448356
2021-09-10 06:24:18.075132 : Epoch  9, Batch   1057, Loss  0.898168, Average Loss  0.871736, Time  0.468451
2021-09-10 06:24:19.855814 : Epoch  9, Batch   1058, Loss  0.879508, Average Loss  0.871754, Time  0.358387
2021-09-10 06:24:21.672794 : Epoch  9, Batch   1059, Loss  0.890893, Average Loss  0.871886, Time  0.356824
2021-09-10 06:24:23.472151 : Epoch  9, Batch   1060, Loss  0.839122, Average Loss  0.871748, Time  0.361832
2021-09-10 06:24:25.363222 : Epoch  9, Batch   1061, Loss  0.856306, Average Loss  0.871677, Time  0.453902
2021-09-10 06:24:27.160774 : Epoch  9, Batch   1062, Loss  0.890427, Average Loss  0.871752, Time  0.350665
2021-09-10 06:24:28.974036 : Epoch  9, Batch   1063, Loss  0.859716, Average Loss  0.871686, Time  0.363051
2021-09-10 06:24:30.784089 : Epoch  9, Batch   1064, Loss  0.869524, Average Loss  0.871838, Time  0.374300
2021-09-10 06:24:32.663091 : Epoch  9, Batch   1065, Loss  0.853595, Average Loss  0.871675, Time  0.460304
2021-09-10 06:24:34.447239 : Epoch  9, Batch   1066, Loss  0.852328, Average Loss  0.871572, Time  0.361625
2021-09-10 06:24:36.253782 : Epoch  9, Batch   1067, Loss  0.884909, Average Loss  0.871587, Time  0.357087
2021-09-10 06:24:38.024114 : Epoch  9, Batch   1068, Loss  0.890011, Average Loss  0.871638, Time  0.365177
2021-09-10 06:24:39.893810 : Epoch  9, Batch   1069, Loss  0.885889, Average Loss  0.871692, Time  0.462707
2021-09-10 06:24:41.676102 : Epoch  9, Batch   1070, Loss  0.851749, Average Loss  0.871544, Time  0.355310
2021-09-10 06:24:43.475776 : Epoch  9, Batch   1071, Loss  0.881678, Average Loss  0.871546, Time  0.357175
2021-09-10 06:24:45.301443 : Epoch  9, Batch   1072, Loss  0.851648, Average Loss  0.871461, Time  0.371904
2021-09-10 06:24:47.173808 : Epoch  9, Batch   1073, Loss  0.853126, Average Loss  0.871249, Time  0.456545
2021-09-10 06:24:48.954267 : Epoch  9, Batch   1074, Loss  0.861346, Average Loss  0.871156, Time  0.363356
2021-09-10 06:24:50.725435 : Epoch  9, Batch   1075, Loss  0.869007, Average Loss  0.871139, Time  0.356563
2021-09-10 06:24:52.578109 : Epoch  9, Batch   1076, Loss  0.884211, Average Loss  0.871271, Time  0.389949
2021-09-10 06:24:54.481884 : Epoch  9, Batch   1077, Loss  0.848659, Average Loss  0.871003, Time  0.460101
2021-09-10 06:24:56.297826 : Epoch  9, Batch   1078, Loss  0.874267, Average Loss  0.870887, Time  0.347523
2021-09-10 06:24:58.098777 : Epoch  9, Batch   1079, Loss  0.876924, Average Loss  0.870950, Time  0.355662
2021-09-10 06:24:59.915773 : Epoch  9, Batch   1080, Loss  0.868830, Average Loss  0.870986, Time  0.361852
2021-09-10 06:25:01.836926 : Epoch  9, Batch   1081, Loss  0.877033, Average Loss  0.870985, Time  0.457666
2021-09-10 06:25:03.719766 : Epoch  9, Batch   1082, Loss  0.850609, Average Loss  0.870967, Time  0.449532
2021-09-10 06:25:05.502889 : Epoch  9, Batch   1083, Loss  0.866340, Average Loss  0.871119, Time  0.359478
2021-09-10 06:25:07.304091 : Epoch  9, Batch   1084, Loss  0.883827, Average Loss  0.871295, Time  0.356634
2021-09-10 06:25:09.127231 : Epoch  9, Batch   1085, Loss  0.857147, Average Loss  0.871272, Time  0.398661
2021-09-10 06:25:11.018833 : Epoch  9, Batch   1086, Loss  0.879924, Average Loss  0.871377, Time  0.456792
2021-09-10 06:25:12.811778 : Epoch  9, Batch   1087, Loss  0.885495, Average Loss  0.871537, Time  0.356869
2021-09-10 06:25:14.607903 : Epoch  9, Batch   1088, Loss  0.886835, Average Loss  0.871585, Time  0.363866
2021-09-10 06:25:16.394112 : Epoch  9, Batch   1089, Loss  0.877734, Average Loss  0.871612, Time  0.364882
2021-09-10 06:25:18.255236 : Epoch  9, Batch   1090, Loss  0.886940, Average Loss  0.871727, Time  0.455751
2021-09-10 06:25:20.023843 : Epoch  9, Batch   1091, Loss  0.875320, Average Loss  0.871717, Time  0.357212
2021-09-10 06:25:21.815777 : Epoch  9, Batch   1092, Loss  0.850220, Average Loss  0.871505, Time  0.356040
2021-09-10 06:25:23.649914 : Epoch  9, Batch   1093, Loss  0.882830, Average Loss  0.871487, Time  0.390065
2021-09-10 06:25:25.544887 : Epoch  9, Batch   1094, Loss  0.882861, Average Loss  0.871608, Time  0.462146
2021-09-10 06:25:27.314968 : Epoch  9, Batch   1095, Loss  0.884026, Average Loss  0.871676, Time  0.364579
2021-09-10 06:25:29.121098 : Epoch  9, Batch   1096, Loss  0.870878, Average Loss  0.871704, Time  0.364001
2021-09-10 06:25:30.950144 : Epoch  9, Batch   1097, Loss  0.863355, Average Loss  0.871744, Time  0.376647
2021-09-10 06:25:32.835847 : Epoch  9, Batch   1098, Loss  0.872493, Average Loss  0.871578, Time  0.452974
2021-09-10 06:25:34.640227 : Epoch  9, Batch   1099, Loss  0.857434, Average Loss  0.871511, Time  0.356054
2021-09-10 06:25:36.455770 : Epoch  9, Batch   1100, Loss  0.872708, Average Loss  0.871555, Time  0.369441
2021-09-10 06:25:38.278940 : Epoch  9, Batch   1101, Loss  0.886115, Average Loss  0.871622, Time  0.363341
2021-09-10 06:25:40.159235 : Epoch  9, Batch   1102, Loss  0.851113, Average Loss  0.871547, Time  0.459049
2021-09-10 06:25:41.940093 : Epoch  9, Batch   1103, Loss  0.904517, Average Loss  0.871774, Time  0.357433
2021-09-10 06:25:43.743914 : Epoch  9, Batch   1104, Loss  0.837537, Average Loss  0.871517, Time  0.357044
2021-09-10 06:25:45.523763 : Epoch  9, Batch   1105, Loss  0.871209, Average Loss  0.871424, Time  0.367371
2021-09-10 06:25:47.403770 : Epoch  9, Batch   1106, Loss  0.873183, Average Loss  0.871375, Time  0.453288
2021-09-10 06:25:49.188109 : Epoch  9, Batch   1107, Loss  0.855791, Average Loss  0.871434, Time  0.356467
2021-09-10 06:25:50.988786 : Epoch  9, Batch   1108, Loss  0.862726, Average Loss  0.871376, Time  0.357074
2021-09-10 06:25:52.786229 : Epoch  9, Batch   1109, Loss  0.867470, Average Loss  0.871382, Time  0.366682
2021-09-10 06:25:54.689864 : Epoch  9, Batch   1110, Loss  0.878716, Average Loss  0.871373, Time  0.456568
2021-09-10 06:25:56.630018 : Epoch  9, Batch   1111, Loss  0.859273, Average Loss  0.871415, Time  0.425389
2021-09-10 06:25:58.433839 : Epoch  9, Batch   1112, Loss  0.884892, Average Loss  0.871469, Time  0.361253
2021-09-10 06:30:49.196717 : CheckPoint: Validation Loss  0.00060784, Best Loss  0.00056427
2021-09-10 06:30:51.003813 : Epoch  9, Batch   1113, Loss  0.877669, Average Loss  0.871508, Time  0.360011
2021-09-10 06:30:52.872776 : Epoch  9, Batch   1114, Loss  0.850168, Average Loss  0.871461, Time  0.448264
2021-09-10 06:30:54.761602 : Epoch  9, Batch   1115, Loss  0.876573, Average Loss  0.871658, Time  0.464033
2021-09-10 06:30:56.538954 : Epoch  9, Batch   1116, Loss  0.889865, Average Loss  0.871651, Time  0.362201
2021-09-10 06:30:58.341775 : Epoch  9, Batch   1117, Loss  0.850697, Average Loss  0.871591, Time  0.356902
2021-09-10 06:31:00.144774 : Epoch  9, Batch   1118, Loss  0.847795, Average Loss  0.871659, Time  0.390358
2021-09-10 06:31:02.042563 : Epoch  9, Batch   1119, Loss  0.858331, Average Loss  0.871501, Time  0.465995
2021-09-10 06:31:03.824772 : Epoch  9, Batch   1120, Loss  0.893981, Average Loss  0.871495, Time  0.357928
2021-09-10 06:31:05.647102 : Epoch  9, Batch   1121, Loss  0.852765, Average Loss  0.871502, Time  0.380137
2021-09-10 06:31:07.445106 : Epoch  9, Batch   1122, Loss  0.878926, Average Loss  0.871635, Time  0.380175
2021-09-10 06:31:09.333930 : Epoch  9, Batch   1123, Loss  0.879062, Average Loss  0.871516, Time  0.456033
2021-09-10 06:31:11.094034 : Epoch  9, Batch   1124, Loss  0.900513, Average Loss  0.871657, Time  0.336103
2021-09-10 06:31:12.870778 : Epoch  9, Batch   1125, Loss  0.855874, Average Loss  0.871560, Time  0.361130
2021-09-10 06:31:14.651097 : Epoch  9, Batch   1126, Loss  0.887685, Average Loss  0.871628, Time  0.364275
2021-09-10 06:31:16.544775 : Epoch  9, Batch   1127, Loss  0.878672, Average Loss  0.871666, Time  0.453730
2021-09-10 06:31:18.312777 : Epoch  9, Batch   1128, Loss  0.877176, Average Loss  0.871737, Time  0.347789
2021-09-10 06:31:20.084819 : Epoch  9, Batch   1129, Loss  0.868603, Average Loss  0.871821, Time  0.363403
2021-09-10 06:31:21.873775 : Epoch  9, Batch   1130, Loss  0.863195, Average Loss  0.871785, Time  0.362997
2021-09-10 06:31:23.771779 : Epoch  9, Batch   1131, Loss  0.906811, Average Loss  0.871769, Time  0.461447
2021-09-10 06:31:25.678234 : Epoch  9, Batch   1132, Loss  0.857318, Average Loss  0.871724, Time  0.448581
2021-09-10 06:31:27.464100 : Epoch  9, Batch   1133, Loss  0.894864, Average Loss  0.871815, Time  0.363729
2021-09-10 06:31:29.234776 : Epoch  9, Batch   1134, Loss  0.863764, Average Loss  0.871810, Time  0.359236
2021-09-10 06:31:31.072157 : Epoch  9, Batch   1135, Loss  0.867222, Average Loss  0.871719, Time  0.416540
2021-09-10 06:31:32.944082 : Epoch  9, Batch   1136, Loss  0.885440, Average Loss  0.871864, Time  0.448717
2021-09-10 06:31:34.723942 : Epoch  9, Batch   1137, Loss  0.872322, Average Loss  0.871846, Time  0.357373
2021-09-10 06:31:36.524775 : Epoch  9, Batch   1138, Loss  0.891359, Average Loss  0.871996, Time  0.363890
2021-09-10 06:31:38.346040 : Epoch  9, Batch   1139, Loss  0.894031, Average Loss  0.872154, Time  0.376654
2021-09-10 06:31:40.235780 : Epoch  9, Batch   1140, Loss  0.888035, Average Loss  0.872288, Time  0.454709
2021-09-10 06:31:42.028771 : Epoch  9, Batch   1141, Loss  0.882253, Average Loss  0.872293, Time  0.355342
2021-09-10 06:31:43.817765 : Epoch  9, Batch   1142, Loss  0.910111, Average Loss  0.872561, Time  0.360573
2021-09-10 06:31:45.600779 : Epoch  9, Batch   1143, Loss  0.841310, Average Loss  0.872320, Time  0.362080
2021-09-10 06:31:47.481775 : Epoch  9, Batch   1144, Loss  0.892568, Average Loss  0.872330, Time  0.455285
2021-09-10 06:31:49.288766 : Epoch  9, Batch   1145, Loss  0.825948, Average Loss  0.872169, Time  0.357423
2021-09-10 06:31:51.064825 : Epoch  9, Batch   1146, Loss  0.899163, Average Loss  0.872268, Time  0.364439
2021-09-10 06:31:52.866782 : Epoch  9, Batch   1147, Loss  0.887515, Average Loss  0.872429, Time  0.376160
2021-09-10 06:31:54.784771 : Epoch  9, Batch   1148, Loss  0.867930, Average Loss  0.872071, Time  0.476641
2021-09-10 06:31:56.594774 : Epoch  9, Batch   1149, Loss  0.890329, Average Loss  0.872272, Time  0.384179
2021-09-10 06:31:58.364548 : Epoch  9, Batch   1150, Loss  0.881125, Average Loss  0.872387, Time  0.356425
2021-09-10 06:32:00.143849 : Epoch  9, Batch   1151, Loss  0.895563, Average Loss  0.872332, Time  0.356886
2021-09-10 06:32:02.043780 : Epoch  9, Batch   1152, Loss  0.851724, Average Loss  0.872211, Time  0.455782
2021-09-10 06:32:03.952097 : Epoch  9, Batch   1153, Loss  0.878997, Average Loss  0.872116, Time  0.466261
2021-09-10 06:32:05.762109 : Epoch  9, Batch   1154, Loss  0.879873, Average Loss  0.872198, Time  0.360715
2021-09-10 06:32:07.547105 : Epoch  9, Batch   1155, Loss  0.887709, Average Loss  0.872209, Time  0.359465
2021-09-10 06:32:09.393772 : Epoch  9, Batch   1156, Loss  0.861843, Average Loss  0.872020, Time  0.401892
2021-09-10 06:32:11.294829 : Epoch  9, Batch   1157, Loss  0.887501, Average Loss  0.872107, Time  0.453728
2021-09-10 06:32:13.078772 : Epoch  9, Batch   1158, Loss  0.861412, Average Loss  0.871925, Time  0.357010
2021-09-10 06:32:14.854776 : Epoch  9, Batch   1159, Loss  0.878307, Average Loss  0.871929, Time  0.359747
2021-09-10 06:32:16.654764 : Epoch  9, Batch   1160, Loss  0.860024, Average Loss  0.872038, Time  0.368084
2021-09-10 06:32:18.532764 : Epoch  9, Batch   1161, Loss  0.876515, Average Loss  0.872167, Time  0.453679
2021-09-10 06:32:20.318776 : Epoch  9, Batch   1162, Loss  0.850790, Average Loss  0.871891, Time  0.349989
2021-09-10 06:32:22.101775 : Epoch  9, Batch   1163, Loss  0.869045, Average Loss  0.871931, Time  0.358596
2021-09-10 06:32:23.901874 : Epoch  9, Batch   1164, Loss  0.866549, Average Loss  0.871913, Time  0.361795
2021-09-10 06:32:25.789777 : Epoch  9, Batch   1165, Loss  0.852984, Average Loss  0.871721, Time  0.452300
2021-09-10 06:32:27.565777 : Epoch  9, Batch   1166, Loss  0.883823, Average Loss  0.871751, Time  0.356707
2021-09-10 06:32:29.359807 : Epoch  9, Batch   1167, Loss  0.874660, Average Loss  0.871774, Time  0.356044
2021-09-10 06:32:31.150774 : Epoch  9, Batch   1168, Loss  0.862012, Average Loss  0.871870, Time  0.381916
2021-09-10 06:32:33.020028 : Epoch  9, Batch   1169, Loss  0.879234, Average Loss  0.871745, Time  0.452579
2021-09-10 06:32:34.799933 : Epoch  9, Batch   1170, Loss  0.873588, Average Loss  0.871563, Time  0.358387
2021-09-10 06:32:36.597101 : Epoch  9, Batch   1171, Loss  0.882162, Average Loss  0.871491, Time  0.372401
2021-09-10 06:32:38.398599 : Epoch  9, Batch   1172, Loss  0.853560, Average Loss  0.871336, Time  0.376330
2021-09-10 06:32:40.289786 : Epoch  9, Batch   1173, Loss  0.862559, Average Loss  0.871120, Time  0.458045
2021-09-10 06:32:42.082806 : Epoch  9, Batch   1174, Loss  0.854455, Average Loss  0.871070, Time  0.349998
2021-09-10 06:32:43.906901 : Epoch  9, Batch   1175, Loss  0.905237, Average Loss  0.871359, Time  0.363711
2021-09-10 06:32:45.706102 : Epoch  9, Batch   1176, Loss  0.859696, Average Loss  0.871396, Time  0.364516
2021-09-10 06:32:47.607090 : Epoch  9, Batch   1177, Loss  0.882550, Average Loss  0.871322, Time  0.450052
2021-09-10 06:32:49.384807 : Epoch  9, Batch   1178, Loss  0.864267, Average Loss  0.871206, Time  0.342675
2021-09-10 06:32:51.195884 : Epoch  9, Batch   1179, Loss  0.886561, Average Loss  0.871111, Time  0.366894
2021-09-10 06:32:52.983106 : Epoch  9, Batch   1180, Loss  0.846399, Average Loss  0.871070, Time  0.372890
2021-09-10 06:32:54.879092 : Epoch  9, Batch   1181, Loss  0.850479, Average Loss  0.870978, Time  0.469448
2021-09-10 06:32:56.639109 : Epoch  9, Batch   1182, Loss  0.900948, Average Loss  0.871198, Time  0.338502
2021-09-10 06:32:58.424779 : Epoch  9, Batch   1183, Loss  0.829109, Average Loss  0.871032, Time  0.358779
2021-09-10 06:33:00.231798 : Epoch  9, Batch   1184, Loss  0.866168, Average Loss  0.870960, Time  0.355174
2021-09-10 06:33:02.126885 : Epoch  9, Batch   1185, Loss  0.860029, Average Loss  0.870921, Time  0.463290
2021-09-10 06:33:03.940099 : Epoch  9, Batch   1186, Loss  0.882786, Average Loss  0.870805, Time  0.388271
2021-09-10 06:33:05.717854 : Epoch  9, Batch   1187, Loss  0.851171, Average Loss  0.870697, Time  0.357957
2021-09-10 06:33:07.518777 : Epoch  9, Batch   1188, Loss  0.894878, Average Loss  0.870806, Time  0.366643
2021-09-10 06:33:09.432237 : Epoch  9, Batch   1189, Loss  0.833505, Average Loss  0.870748, Time  0.468672
2021-09-10 06:33:11.314805 : Epoch  9, Batch   1190, Loss  0.864968, Average Loss  0.870748, Time  0.455441
2021-09-10 06:33:13.118783 : Epoch  9, Batch   1191, Loss  0.864506, Average Loss  0.870742, Time  0.364251
2021-09-10 06:33:14.894776 : Epoch  9, Batch   1192, Loss  0.867224, Average Loss  0.870806, Time  0.360814
2021-09-10 06:33:16.716469 : Epoch  9, Batch   1193, Loss  0.861313, Average Loss  0.870743, Time  0.395988
2021-09-10 06:33:18.573791 : Epoch  9, Batch   1194, Loss  0.858149, Average Loss  0.870620, Time  0.459352
2021-09-10 06:33:20.347721 : Epoch  9, Batch   1195, Loss  0.872246, Average Loss  0.870771, Time  0.356807
2021-09-10 06:33:22.122891 : Epoch  9, Batch   1196, Loss  0.875205, Average Loss  0.870850, Time  0.363290
2021-09-10 06:33:23.947103 : Epoch  9, Batch   1197, Loss  0.852936, Average Loss  0.870767, Time  0.396693
2021-09-10 06:33:25.842227 : Epoch  9, Batch   1198, Loss  0.860210, Average Loss  0.870690, Time  0.457547
2021-09-10 06:33:27.607832 : Epoch  9, Batch   1199, Loss  0.874670, Average Loss  0.870688, Time  0.364193
2021-09-10 06:33:29.385112 : Epoch  9, Batch   1200, Loss  0.875846, Average Loss  0.870763, Time  0.357005
2021-09-10 06:33:31.158627 : Epoch  9, Batch   1201, Loss  0.892466, Average Loss  0.870869, Time  0.370161
2021-09-10 06:33:33.045764 : Epoch  9, Batch   1202, Loss  0.872350, Average Loss  0.870918, Time  0.459202
2021-09-10 06:33:34.832221 : Epoch  9, Batch   1203, Loss  0.886242, Average Loss  0.871072, Time  0.363031
2021-09-10 06:33:36.611136 : Epoch  9, Batch   1204, Loss  0.871815, Average Loss  0.870875, Time  0.358407
2021-09-10 06:33:38.422776 : Epoch  9, Batch   1205, Loss  0.907009, Average Loss  0.871053, Time  0.381235
2021-09-10 06:33:40.320114 : Epoch  9, Batch   1206, Loss  0.889016, Average Loss  0.871161, Time  0.463302
2021-09-10 06:33:42.084102 : Epoch  9, Batch   1207, Loss  0.871201, Average Loss  0.871223, Time  0.343331
2021-09-10 06:33:43.862790 : Epoch  9, Batch   1208, Loss  0.883525, Average Loss  0.871313, Time  0.357886
2021-09-10 06:33:45.667958 : Epoch  9, Batch   1209, Loss  0.894785, Average Loss  0.871458, Time  0.361252
2021-09-10 06:33:47.548796 : Epoch  9, Batch   1210, Loss  0.889664, Average Loss  0.871425, Time  0.453847
2021-09-10 06:33:49.490774 : Epoch  9, Batch   1211, Loss  0.859047, Average Loss  0.871295, Time  0.414105
2021-09-10 06:33:51.287875 : Epoch  9, Batch   1212, Loss  0.867693, Average Loss  0.871171, Time  0.358421
2021-09-10 06:38:41.582023 : CheckPoint: Validation Loss  0.00060572, Best Loss  0.00056427
2021-09-10 06:38:43.350783 : Epoch  9, Batch   1213, Loss  0.869871, Average Loss  0.871259, Time  0.357105
2021-09-10 06:38:45.148842 : Epoch  9, Batch   1214, Loss  0.875854, Average Loss  0.871329, Time  0.364049
2021-09-10 06:38:46.935850 : Epoch  9, Batch   1215, Loss  0.848339, Average Loss  0.871117, Time  0.374412
2021-09-10 06:38:48.825459 : Epoch  9, Batch   1216, Loss  0.869700, Average Loss  0.870994, Time  0.455967
2021-09-10 06:38:50.597058 : Epoch  9, Batch   1217, Loss  0.879116, Average Loss  0.871001, Time  0.335659
2021-09-10 06:38:52.385765 : Epoch  9, Batch   1218, Loss  0.824189, Average Loss  0.870812, Time  0.363114
2021-09-10 06:38:54.170229 : Epoch  9, Batch   1219, Loss  0.873941, Average Loss  0.870883, Time  0.363103
2021-09-10 06:38:56.051094 : Epoch  9, Batch   1220, Loss  0.874132, Average Loss  0.870975, Time  0.450130
2021-09-10 06:38:57.839775 : Epoch  9, Batch   1221, Loss  0.908160, Average Loss  0.871294, Time  0.349393
2021-09-10 06:38:59.619819 : Epoch  9, Batch   1222, Loss  0.890120, Average Loss  0.871240, Time  0.359122
2021-09-10 06:39:01.439817 : Epoch  9, Batch   1223, Loss  0.856151, Average Loss  0.871168, Time  0.354895
2021-09-10 06:39:03.312777 : Epoch  9, Batch   1224, Loss  0.865929, Average Loss  0.871169, Time  0.455498
2021-09-10 06:39:05.118228 : Epoch  9, Batch   1225, Loss  0.882749, Average Loss  0.871166, Time  0.366148
2021-09-10 06:39:06.904774 : Epoch  9, Batch   1226, Loss  0.873121, Average Loss  0.871202, Time  0.368756
2021-09-10 06:39:08.709109 : Epoch  9, Batch   1227, Loss  0.873187, Average Loss  0.871271, Time  0.366438
2021-09-10 06:39:10.603775 : Epoch  9, Batch   1228, Loss  0.882185, Average Loss  0.871323, Time  0.453068
2021-09-10 06:39:12.363029 : Epoch  9, Batch   1229, Loss  0.866712, Average Loss  0.871328, Time  0.344085
2021-09-10 06:39:14.172776 : Epoch  9, Batch   1230, Loss  0.837811, Average Loss  0.871157, Time  0.375092
2021-09-10 06:39:15.979814 : Epoch  9, Batch   1231, Loss  0.861805, Average Loss  0.871049, Time  0.361886
2021-09-10 06:39:17.841778 : Epoch  9, Batch   1232, Loss  0.868067, Average Loss  0.871029, Time  0.451752
2021-09-10 06:39:19.624188 : Epoch  9, Batch   1233, Loss  0.866081, Average Loss  0.870974, Time  0.355289
2021-09-10 06:39:21.393774 : Epoch  9, Batch   1234, Loss  0.880135, Average Loss  0.871006, Time  0.362707
2021-09-10 06:39:23.199043 : Epoch  9, Batch   1235, Loss  0.855435, Average Loss  0.870938, Time  0.390805
2021-09-10 06:39:25.093776 : Epoch  9, Batch   1236, Loss  0.878021, Average Loss  0.870878, Time  0.470327
2021-09-10 06:39:26.856229 : Epoch  9, Batch   1237, Loss  0.848132, Average Loss  0.870826, Time  0.342555
2021-09-10 06:39:28.658759 : Epoch  9, Batch   1238, Loss  0.888919, Average Loss  0.870970, Time  0.375427
2021-09-10 06:39:30.452776 : Epoch  9, Batch   1239, Loss  0.906047, Average Loss  0.871154, Time  0.368418
2021-09-10 06:39:32.341781 : Epoch  9, Batch   1240, Loss  0.902821, Average Loss  0.871549, Time  0.451859
2021-09-10 06:39:34.121105 : Epoch  9, Batch   1241, Loss  0.834781, Average Loss  0.871527, Time  0.350585
2021-09-10 06:39:35.894776 : Epoch  9, Batch   1242, Loss  0.857977, Average Loss  0.871459, Time  0.358446
2021-09-10 06:39:37.652773 : Epoch  9, Batch   1243, Loss  0.854801, Average Loss  0.871390, Time  0.360533
2021-09-10 06:39:39.524772 : Epoch  9, Batch   1244, Loss  0.852202, Average Loss  0.871321, Time  0.454087
2021-09-10 06:39:41.323777 : Epoch  9, Batch   1245, Loss  0.874913, Average Loss  0.871457, Time  0.353405
2021-09-10 06:39:43.124771 : Epoch  9, Batch   1246, Loss  0.829735, Average Loss  0.871302, Time  0.357390
2021-09-10 06:39:44.918774 : Epoch  9, Batch   1247, Loss  0.889740, Average Loss  0.871492, Time  0.361484
2021-09-10 06:39:46.796764 : Epoch  9, Batch   1248, Loss  0.843014, Average Loss  0.871388, Time  0.452689
2021-09-10 06:39:48.586819 : Epoch  9, Batch   1249, Loss  0.866974, Average Loss  0.871188, Time  0.355270
2021-09-10 06:39:50.444769 : Epoch  9, Batch   1250, Loss  0.862524, Average Loss  0.871074, Time  0.356702
2021-09-10 06:39:52.252763 : Epoch  9, Batch   1251, Loss  0.899880, Average Loss  0.871271, Time  0.353727
2021-09-10 06:39:54.164766 : Epoch  9, Batch   1252, Loss  0.861183, Average Loss  0.871353, Time  0.449959
2021-09-10 06:39:55.934772 : Epoch  9, Batch   1253, Loss  0.875744, Average Loss  0.871456, Time  0.359202
2021-09-10 06:39:57.709774 : Epoch  9, Batch   1254, Loss  0.840466, Average Loss  0.871152, Time  0.358911
2021-09-10 06:39:59.510681 : Epoch  9, Batch   1255, Loss  0.850617, Average Loss  0.871189, Time  0.375819
2021-09-10 06:40:01.360764 : Epoch  9, Batch   1256, Loss  0.872933, Average Loss  0.871202, Time  0.450922
2021-09-10 06:40:03.156770 : Epoch  9, Batch   1257, Loss  0.882625, Average Loss  0.871124, Time  0.367002
2021-09-10 06:40:04.949774 : Epoch  9, Batch   1258, Loss  0.855470, Average Loss  0.871004, Time  0.363810
2021-09-10 06:40:06.768776 : Epoch  9, Batch   1259, Loss  0.881513, Average Loss  0.870957, Time  0.394490
2021-09-10 06:40:08.629781 : Epoch  9, Batch   1260, Loss  0.866997, Average Loss  0.871096, Time  0.446507
2021-09-10 06:40:10.396788 : Epoch  9, Batch   1261, Loss  0.866701, Average Loss  0.871148, Time  0.356864
2021-09-10 06:40:12.191782 : Epoch  9, Batch   1262, Loss  0.856081, Average Loss  0.870976, Time  0.356759
2021-09-10 06:40:14.016915 : Epoch  9, Batch   1263, Loss  0.856680, Average Loss  0.870961, Time  0.388375
2021-09-10 06:40:15.917778 : Epoch  9, Batch   1264, Loss  0.868777, Average Loss  0.870958, Time  0.452576
2021-09-10 06:40:17.689772 : Epoch  9, Batch   1265, Loss  0.858637, Average Loss  0.870983, Time  0.359419
2021-09-10 06:40:19.478153 : Epoch  9, Batch   1266, Loss  0.872469, Average Loss  0.871083, Time  0.357992
2021-09-10 06:40:21.285776 : Epoch  9, Batch   1267, Loss  0.878696, Average Loss  0.871052, Time  0.372490
2021-09-10 06:40:23.190860 : Epoch  9, Batch   1268, Loss  0.824286, Average Loss  0.870724, Time  0.463987
2021-09-10 06:40:24.985773 : Epoch  9, Batch   1269, Loss  0.872408, Average Loss  0.870656, Time  0.366020
2021-09-10 06:40:26.790761 : Epoch  9, Batch   1270, Loss  0.884745, Average Loss  0.870821, Time  0.362049
2021-09-10 06:40:28.570569 : Epoch  9, Batch   1271, Loss  0.885130, Average Loss  0.870839, Time  0.358860
2021-09-10 06:40:30.436851 : Epoch  9, Batch   1272, Loss  0.840290, Average Loss  0.870782, Time  0.454826
2021-09-10 06:40:32.335805 : Epoch  9, Batch   1273, Loss  0.876338, Average Loss  0.870898, Time  0.446485
2021-09-10 06:40:34.153770 : Epoch  9, Batch   1274, Loss  0.878000, Average Loss  0.870981, Time  0.358743
2021-09-10 06:40:35.930761 : Epoch  9, Batch   1275, Loss  0.837135, Average Loss  0.870822, Time  0.356055
2021-09-10 06:40:37.764773 : Epoch  9, Batch   1276, Loss  0.852304, Average Loss  0.870662, Time  0.398688
2021-09-10 06:40:39.648840 : Epoch  9, Batch   1277, Loss  0.866900, Average Loss  0.870753, Time  0.449291
2021-09-10 06:40:41.419775 : Epoch  9, Batch   1278, Loss  0.871293, Average Loss  0.870739, Time  0.365383
2021-09-10 06:40:43.235101 : Epoch  9, Batch   1279, Loss  0.877143, Average Loss  0.870740, Time  0.357134
2021-09-10 06:40:45.030786 : Epoch  9, Batch   1280, Loss  0.865426, Average Loss  0.870723, Time  0.366838
2021-09-10 06:40:46.926919 : Epoch  9, Batch   1281, Loss  0.878064, Average Loss  0.870728, Time  0.449611
2021-09-10 06:40:48.728827 : Epoch  9, Batch   1282, Loss  0.850177, Average Loss  0.870726, Time  0.377279
2021-09-10 06:40:50.554770 : Epoch  9, Batch   1283, Loss  0.863753, Average Loss  0.870713, Time  0.362375
2021-09-10 06:40:52.344941 : Epoch  9, Batch   1284, Loss  0.853336, Average Loss  0.870560, Time  0.358572
2021-09-10 06:40:54.211009 : Epoch  9, Batch   1285, Loss  0.878506, Average Loss  0.870667, Time  0.446916
2021-09-10 06:40:56.097085 : Epoch  9, Batch   1286, Loss  0.860347, Average Loss  0.870569, Time  0.448805
2021-09-10 06:40:57.903776 : Epoch  9, Batch   1287, Loss  0.892306, Average Loss  0.870603, Time  0.368085
2021-09-10 06:40:59.696664 : Epoch  9, Batch   1288, Loss  0.870164, Average Loss  0.870520, Time  0.363330
2021-09-10 06:41:01.532782 : Epoch  9, Batch   1289, Loss  0.871777, Average Loss  0.870490, Time  0.397161
2021-09-10 06:41:03.468819 : Epoch  9, Batch   1290, Loss  0.889685, Average Loss  0.870504, Time  0.466815
2021-09-10 06:41:05.356090 : Epoch  9, Batch   1291, Loss  0.873858, Average Loss  0.870497, Time  0.440409
2021-09-10 06:41:07.161770 : Epoch  9, Batch   1292, Loss  0.847699, Average Loss  0.870484, Time  0.359576
2021-09-10 06:41:08.955792 : Epoch  9, Batch   1293, Loss  0.909708, Average Loss  0.870618, Time  0.358895
2021-09-10 06:41:10.808776 : Epoch  9, Batch   1294, Loss  0.860419, Average Loss  0.870506, Time  0.416270
2021-09-10 06:41:12.701249 : Epoch  9, Batch   1295, Loss  0.866535, Average Loss  0.870419, Time  0.457605
2021-09-10 06:41:14.479773 : Epoch  9, Batch   1296, Loss  0.882515, Average Loss  0.870477, Time  0.351400
2021-09-10 06:41:16.248837 : Epoch  9, Batch   1297, Loss  0.875830, Average Loss  0.870539, Time  0.357288
2021-09-10 06:41:18.024768 : Epoch  9, Batch   1298, Loss  0.862337, Average Loss  0.870488, Time  0.371218
2021-09-10 06:41:19.892904 : Epoch  9, Batch   1299, Loss  0.889888, Average Loss  0.870651, Time  0.457026
2021-09-10 06:41:21.672771 : Epoch  9, Batch   1300, Loss  0.870091, Average Loss  0.870638, Time  0.358336
2021-09-10 06:41:23.460768 : Epoch  9, Batch   1301, Loss  0.846824, Average Loss  0.870441, Time  0.356876
2021-09-10 06:41:25.270104 : Epoch  9, Batch   1302, Loss  0.855072, Average Loss  0.870461, Time  0.373419
2021-09-10 06:41:27.165771 : Epoch  9, Batch   1303, Loss  0.905276, Average Loss  0.870465, Time  0.453067
2021-09-10 06:41:29.018858 : Epoch  9, Batch   1304, Loss  0.889834, Average Loss  0.870726, Time  0.410984
2021-09-10 06:41:30.798770 : Epoch  9, Batch   1305, Loss  0.845385, Average Loss  0.870597, Time  0.357597
2021-09-10 06:41:32.597764 : Epoch  9, Batch   1306, Loss  0.849247, Average Loss  0.870477, Time  0.356544
2021-09-10 06:41:34.481968 : Epoch  9, Batch   1307, Loss  0.865365, Average Loss  0.870525, Time  0.436980
2021-09-10 06:41:36.382776 : Epoch  9, Batch   1308, Loss  0.924479, Average Loss  0.870834, Time  0.458199
2021-09-10 06:41:38.169820 : Epoch  9, Batch   1309, Loss  0.840148, Average Loss  0.870697, Time  0.362808
2021-09-10 06:41:39.945826 : Epoch  9, Batch   1310, Loss  0.874141, Average Loss  0.870675, Time  0.362190
2021-09-10 06:41:41.747097 : Epoch  9, Batch   1311, Loss  0.884800, Average Loss  0.870802, Time  0.376860
2021-09-10 06:41:49.071148 : Epoch  9, Batch   1312, Loss  0.862167, Average Loss  0.870689, Time  0.372618
2021-09-10 06:46:39.789712 : CheckPoint: Validation Loss  0.00060522, Best Loss  0.00056427
2021-09-10 06:46:41.623881 : Epoch  9, Batch   1313, Loss  0.835791, Average Loss  0.870479, Time  0.414190
2021-09-10 06:46:43.505762 : Epoch  9, Batch   1314, Loss  0.876055, Average Loss  0.870609, Time  0.453053
2021-09-10 06:46:45.285861 : Epoch  9, Batch   1315, Loss  0.881156, Average Loss  0.870632, Time  0.358279
2021-09-10 06:46:47.080775 : Epoch  9, Batch   1316, Loss  0.888450, Average Loss  0.870624, Time  0.360551
2021-09-10 06:46:48.890828 : Epoch  9, Batch   1317, Loss  0.874661, Average Loss  0.870744, Time  0.372027
2021-09-10 06:46:50.757754 : Epoch  9, Batch   1318, Loss  0.860465, Average Loss  0.870808, Time  0.452729
2021-09-10 06:46:52.547778 : Epoch  9, Batch   1319, Loss  0.891842, Average Loss  0.870975, Time  0.357861
2021-09-10 06:46:54.302300 : Epoch  9, Batch   1320, Loss  0.884021, Average Loss  0.870925, Time  0.356366
2021-09-10 06:46:56.100551 : Epoch  9, Batch   1321, Loss  0.882078, Average Loss  0.871072, Time  0.390731
2021-09-10 06:46:57.960577 : Epoch  9, Batch   1322, Loss  0.861593, Average Loss  0.870985, Time  0.454130
2021-09-10 06:46:59.729098 : Epoch  9, Batch   1323, Loss  0.861976, Average Loss  0.870900, Time  0.363592
2021-09-10 06:47:01.505782 : Epoch  9, Batch   1324, Loss  0.831455, Average Loss  0.870555, Time  0.375378
2021-09-10 06:47:03.329145 : Epoch  9, Batch   1325, Loss  0.866438, Average Loss  0.870607, Time  0.401377
2021-09-10 06:47:05.217786 : Epoch  9, Batch   1326, Loss  0.856262, Average Loss  0.870450, Time  0.463808
2021-09-10 06:47:07.065083 : Epoch  9, Batch   1327, Loss  0.840881, Average Loss  0.870261, Time  0.387744
2021-09-10 06:47:08.871823 : Epoch  9, Batch   1328, Loss  0.875676, Average Loss  0.870254, Time  0.395202
2021-09-10 06:47:10.678273 : Epoch  9, Batch   1329, Loss  0.857699, Average Loss  0.870199, Time  0.398046
2021-09-10 06:47:12.556110 : Epoch  9, Batch   1330, Loss  0.869276, Average Loss  0.870230, Time  0.469129
2021-09-10 06:47:14.350111 : Epoch  9, Batch   1331, Loss  0.823926, Average Loss  0.869815, Time  0.364427
2021-09-10 06:47:16.121774 : Epoch  9, Batch   1332, Loss  0.898750, Average Loss  0.870022, Time  0.356750
2021-09-10 06:47:17.944838 : Epoch  9, Batch   1333, Loss  0.867585, Average Loss  0.869886, Time  0.390780
2021-09-10 06:47:19.842779 : Epoch  9, Batch   1334, Loss  0.860415, Average Loss  0.869869, Time  0.460759
2021-09-10 06:47:21.618105 : Epoch  9, Batch   1335, Loss  0.858062, Average Loss  0.869823, Time  0.355975
2021-09-10 06:47:23.406409 : Epoch  9, Batch   1336, Loss  0.840214, Average Loss  0.869597, Time  0.362925
2021-09-10 06:47:25.167920 : Epoch  9, Batch   1337, Loss  0.851853, Average Loss  0.869495, Time  0.354146
2021-09-10 06:47:27.026764 : Epoch  9, Batch   1338, Loss  0.878275, Average Loss  0.869430, Time  0.451171
2021-09-10 06:47:28.808844 : Epoch  9, Batch   1339, Loss  0.882949, Average Loss  0.869374, Time  0.355681
2021-09-10 06:47:30.582774 : Epoch  9, Batch   1340, Loss  0.876112, Average Loss  0.869315, Time  0.357121
2021-09-10 06:47:32.385063 : Epoch  9, Batch   1341, Loss  0.878037, Average Loss  0.869293, Time  0.375874
2021-09-10 06:47:34.259874 : Epoch  9, Batch   1342, Loss  0.832459, Average Loss  0.868905, Time  0.464431
2021-09-10 06:47:36.056795 : Epoch  9, Batch   1343, Loss  0.886740, Average Loss  0.869132, Time  0.368925
2021-09-10 06:47:37.839784 : Epoch  9, Batch   1344, Loss  0.862711, Average Loss  0.868983, Time  0.377080
2021-09-10 06:47:39.631779 : Epoch  9, Batch   1345, Loss  0.880927, Average Loss  0.869258, Time  0.368042
2021-09-10 06:47:41.525177 : Epoch  9, Batch   1346, Loss  0.852025, Average Loss  0.869022, Time  0.449516
2021-09-10 06:47:43.310785 : Epoch  9, Batch   1347, Loss  0.867907, Average Loss  0.868924, Time  0.357023
2021-09-10 06:47:45.146775 : Epoch  9, Batch   1348, Loss  0.831347, Average Loss  0.868741, Time  0.367789
2021-09-10 06:47:46.964838 : Epoch  9, Batch   1349, Loss  0.869536, Average Loss  0.868637, Time  0.373202
2021-09-10 06:47:48.854860 : Epoch  9, Batch   1350, Loss  0.846470, Average Loss  0.868464, Time  0.451931
2021-09-10 06:47:50.719919 : Epoch  9, Batch   1351, Loss  0.858467, Average Loss  0.868279, Time  0.412773
2021-09-10 06:47:52.511794 : Epoch  9, Batch   1352, Loss  0.864734, Average Loss  0.868344, Time  0.361895
2021-09-10 06:47:54.290856 : Epoch  9, Batch   1353, Loss  0.879057, Average Loss  0.868344, Time  0.355397
2021-09-10 06:47:56.156975 : Epoch  9, Batch   1354, Loss  0.860977, Average Loss  0.868250, Time  0.450233
2021-09-10 06:47:58.017771 : Epoch  9, Batch   1355, Loss  0.866915, Average Loss  0.868146, Time  0.449901
2021-09-10 06:47:59.804826 : Epoch  9, Batch   1356, Loss  0.851305, Average Loss  0.868093, Time  0.356843
2021-09-10 06:48:01.561518 : Epoch  9, Batch   1357, Loss  0.872968, Average Loss  0.868020, Time  0.358525
2021-09-10 06:48:03.357233 : Epoch  9, Batch   1358, Loss  0.848662, Average Loss  0.867956, Time  0.400059
2021-09-10 06:48:05.246782 : Epoch  9, Batch   1359, Loss  0.830309, Average Loss  0.867716, Time  0.460207
2021-09-10 06:48:07.039883 : Epoch  9, Batch   1360, Loss  0.902227, Average Loss  0.867927, Time  0.358174
2021-09-10 06:48:08.811223 : Epoch  9, Batch   1361, Loss  0.883885, Average Loss  0.867964, Time  0.355770
2021-09-10 06:48:10.605976 : Epoch  9, Batch   1362, Loss  0.877171, Average Loss  0.868096, Time  0.386433
2021-09-10 06:48:12.488232 : Epoch  9, Batch   1363, Loss  0.905926, Average Loss  0.868281, Time  0.452593
2021-09-10 06:48:14.242775 : Epoch  9, Batch   1364, Loss  0.876373, Average Loss  0.868330, Time  0.357794
2021-09-10 06:48:16.012778 : Epoch  9, Batch   1365, Loss  0.866318, Average Loss  0.868396, Time  0.359597
2021-09-10 06:48:17.831896 : Epoch  9, Batch   1366, Loss  0.862413, Average Loss  0.868289, Time  0.396836
2021-09-10 06:48:19.696066 : Epoch  9, Batch   1367, Loss  0.883307, Average Loss  0.868333, Time  0.456912
2021-09-10 06:48:21.470784 : Epoch  9, Batch   1368, Loss  0.865589, Average Loss  0.868350, Time  0.360309
2021-09-10 06:48:23.262851 : Epoch  9, Batch   1369, Loss  0.892501, Average Loss  0.868417, Time  0.359095
2021-09-10 06:48:25.082772 : Epoch  9, Batch   1370, Loss  0.878997, Average Loss  0.868444, Time  0.401660
2021-09-10 06:48:26.964234 : Epoch  9, Batch   1371, Loss  0.881789, Average Loss  0.868442, Time  0.452022
2021-09-10 06:48:28.738771 : Epoch  9, Batch   1372, Loss  0.877451, Average Loss  0.868561, Time  0.350272
2021-09-10 06:48:30.529116 : Epoch  9, Batch   1373, Loss  0.855282, Average Loss  0.868525, Time  0.356155
2021-09-10 06:48:32.327775 : Epoch  9, Batch   1374, Loss  0.871364, Average Loss  0.868610, Time  0.367966
2021-09-10 06:48:34.200317 : Epoch  9, Batch   1375, Loss  0.842290, Average Loss  0.868295, Time  0.455270
2021-09-10 06:48:35.974775 : Epoch  9, Batch   1376, Loss  0.880418, Average Loss  0.868398, Time  0.363265
2021-09-10 06:48:37.743101 : Epoch  9, Batch   1377, Loss  0.848192, Average Loss  0.868227, Time  0.357644
2021-09-10 06:48:39.557769 : Epoch  9, Batch   1378, Loss  0.884179, Average Loss  0.868326, Time  0.378247
2021-09-10 06:48:41.444106 : Epoch  9, Batch   1379, Loss  0.880337, Average Loss  0.868295, Time  0.455450
2021-09-10 06:48:43.252776 : Epoch  9, Batch   1380, Loss  0.867302, Average Loss  0.868400, Time  0.356539
2021-09-10 06:48:45.045105 : Epoch  9, Batch   1381, Loss  0.867349, Average Loss  0.868484, Time  0.363348
2021-09-10 06:48:46.849778 : Epoch  9, Batch   1382, Loss  0.857268, Average Loss  0.868266, Time  0.363182
2021-09-10 06:48:48.717116 : Epoch  9, Batch   1383, Loss  0.853822, Average Loss  0.868389, Time  0.460527
2021-09-10 06:48:50.509766 : Epoch  9, Batch   1384, Loss  0.855798, Average Loss  0.868337, Time  0.356299
2021-09-10 06:48:52.293121 : Epoch  9, Batch   1385, Loss  0.857225, Average Loss  0.868323, Time  0.368102
2021-09-10 06:48:54.081777 : Epoch  9, Batch   1386, Loss  0.871439, Average Loss  0.868267, Time  0.369600
2021-09-10 06:48:55.980237 : Epoch  9, Batch   1387, Loss  0.867867, Average Loss  0.868350, Time  0.462370
2021-09-10 06:48:57.762254 : Epoch  9, Batch   1388, Loss  0.832956, Average Loss  0.868040, Time  0.340697
2021-09-10 06:48:59.546803 : Epoch  9, Batch   1389, Loss  0.883891, Average Loss  0.868292, Time  0.360219
2021-09-10 06:49:01.380984 : Epoch  9, Batch   1390, Loss  0.853091, Average Loss  0.868233, Time  0.361573
2021-09-10 06:49:03.242103 : Epoch  9, Batch   1391, Loss  0.843885, Average Loss  0.868130, Time  0.453848
2021-09-10 06:49:05.014875 : Epoch  9, Batch   1392, Loss  0.831111, Average Loss  0.867949, Time  0.371315
2021-09-10 06:49:06.792762 : Epoch  9, Batch   1393, Loss  0.877060, Average Loss  0.868028, Time  0.357607
2021-09-10 06:49:08.578542 : Epoch  9, Batch   1394, Loss  0.875659, Average Loss  0.868116, Time  0.384040
2021-09-10 06:49:10.436773 : Epoch  9, Batch   1395, Loss  0.880564, Average Loss  0.868157, Time  0.459832
2021-09-10 06:49:12.224231 : Epoch  9, Batch   1396, Loss  0.877234, Average Loss  0.868167, Time  0.364711
2021-09-10 06:49:14.021809 : Epoch  9, Batch   1397, Loss  0.902645, Average Loss  0.868416, Time  0.364116
2021-09-10 06:49:15.865844 : Epoch  9, Batch   1398, Loss  0.836727, Average Loss  0.868298, Time  0.388908
2021-09-10 06:49:17.753889 : Epoch  9, Batch   1399, Loss  0.856042, Average Loss  0.868205, Time  0.465027
2021-09-10 06:49:19.533852 : Epoch  9, Batch   1400, Loss  0.855317, Average Loss  0.868103, Time  0.375965
2021-09-10 06:49:21.305777 : Epoch  9, Batch   1401, Loss  0.854809, Average Loss  0.867914, Time  0.356742
2021-09-10 06:49:23.097056 : Epoch  9, Batch   1402, Loss  0.894503, Average Loss  0.868025, Time  0.387150
2021-09-10 06:49:24.973764 : Epoch  9, Batch   1403, Loss  0.858598, Average Loss  0.867887, Time  0.452330
2021-09-10 06:49:26.754812 : Epoch  9, Batch   1404, Loss  0.889938, Average Loss  0.867978, Time  0.363513
2021-09-10 06:49:28.550768 : Epoch  9, Batch   1405, Loss  0.861803, Average Loss  0.867752, Time  0.356490
2021-09-10 06:49:30.350112 : Epoch  9, Batch   1406, Loss  0.865795, Average Loss  0.867635, Time  0.380650
2021-09-10 06:49:32.243214 : Epoch  9, Batch   1407, Loss  0.874593, Average Loss  0.867652, Time  0.456864
2021-09-10 06:49:34.043880 : Epoch  9, Batch   1408, Loss  0.883750, Average Loss  0.867653, Time  0.352462
2021-09-10 06:49:35.864115 : Epoch  9, Batch   1409, Loss  0.864745, Average Loss  0.867503, Time  0.361500
2021-09-10 06:49:37.640773 : Epoch  9, Batch   1410, Loss  0.894095, Average Loss  0.867525, Time  0.357135
2021-09-10 06:49:39.537765 : Epoch  9, Batch   1411, Loss  0.873107, Average Loss  0.867596, Time  0.455777
2021-09-10 06:49:41.316778 : Epoch  9, Batch   1412, Loss  0.857838, Average Loss  0.867546, Time  0.365568
2021-09-10 06:54:31.695721 : CheckPoint: Validation Loss  0.00064475, Best Loss  0.00056427
2021-09-10 06:54:33.539764 : Epoch  9, Batch   1413, Loss  0.836869, Average Loss  0.867381, Time  0.426142
2021-09-10 06:54:35.418780 : Epoch  9, Batch   1414, Loss  0.870331, Average Loss  0.867354, Time  0.459464
2021-09-10 06:54:37.195769 : Epoch  9, Batch   1415, Loss  0.839048, Average Loss  0.867307, Time  0.363042
2021-09-10 06:54:38.979210 : Epoch  9, Batch   1416, Loss  0.897077, Average Loss  0.867444, Time  0.368064
2021-09-10 06:54:40.812780 : Epoch  9, Batch   1417, Loss  0.846155, Average Loss  0.867279, Time  0.387207
2021-09-10 06:54:42.748786 : Epoch  9, Batch   1418, Loss  0.890523, Average Loss  0.867611, Time  0.463439
2021-09-10 06:54:44.633801 : Epoch  9, Batch   1419, Loss  0.868383, Average Loss  0.867583, Time  0.432854
2021-09-10 06:54:46.442631 : Epoch  9, Batch   1420, Loss  0.882240, Average Loss  0.867624, Time  0.360319
2021-09-10 06:54:48.213851 : Epoch  9, Batch   1421, Loss  0.881539, Average Loss  0.867491, Time  0.362218
2021-09-10 06:54:50.079825 : Epoch  9, Batch   1422, Loss  0.856893, Average Loss  0.867325, Time  0.448176
2021-09-10 06:54:51.992999 : Epoch  9, Batch   1423, Loss  0.853774, Average Loss  0.867313, Time  0.469201
2021-09-10 06:54:53.761778 : Epoch  9, Batch   1424, Loss  0.863636, Average Loss  0.867301, Time  0.338774
2021-09-10 06:54:55.537786 : Epoch  9, Batch   1425, Loss  0.849367, Average Loss  0.867134, Time  0.357379
2021-09-10 06:54:57.312775 : Epoch  9, Batch   1426, Loss  0.883703, Average Loss  0.867187, Time  0.366902
2021-09-10 06:54:59.189106 : Epoch  9, Batch   1427, Loss  0.909130, Average Loss  0.867367, Time  0.453431
2021-09-10 06:55:00.987824 : Epoch  9, Batch   1428, Loss  0.840435, Average Loss  0.867158, Time  0.356378
2021-09-10 06:55:02.779104 : Epoch  9, Batch   1429, Loss  0.868962, Average Loss  0.867170, Time  0.370864
2021-09-10 06:55:04.564814 : Epoch  9, Batch   1430, Loss  0.880894, Average Loss  0.867385, Time  0.390895
2021-09-10 06:55:06.453104 : Epoch  9, Batch   1431, Loss  0.869287, Average Loss  0.867422, Time  0.453331
2021-09-10 06:55:08.215763 : Epoch  9, Batch   1432, Loss  0.908756, Average Loss  0.867626, Time  0.356695
2021-09-10 06:55:09.985762 : Epoch  9, Batch   1433, Loss  0.872774, Average Loss  0.867659, Time  0.358491
2021-09-10 06:55:11.806484 : Epoch  9, Batch   1434, Loss  0.855564, Average Loss  0.867536, Time  0.369576
2021-09-10 06:55:13.688775 : Epoch  9, Batch   1435, Loss  0.853520, Average Loss  0.867527, Time  0.455712
2021-09-10 06:55:15.467117 : Epoch  9, Batch   1436, Loss  0.857255, Average Loss  0.867423, Time  0.357780
2021-09-10 06:55:17.253803 : Epoch  9, Batch   1437, Loss  0.834379, Average Loss  0.867354, Time  0.358046
2021-09-10 06:55:19.039033 : Epoch  9, Batch   1438, Loss  0.905109, Average Loss  0.867435, Time  0.373719
2021-09-10 06:55:20.893778 : Epoch  9, Batch   1439, Loss  0.886118, Average Loss  0.867336, Time  0.453381
2021-09-10 06:55:22.708770 : Epoch  9, Batch   1440, Loss  0.863974, Average Loss  0.867141, Time  0.357429
2021-09-10 06:55:24.478107 : Epoch  9, Batch   1441, Loss  0.888846, Average Loss  0.867412, Time  0.355697
2021-09-10 06:55:26.282785 : Epoch  9, Batch   1442, Loss  0.849135, Average Loss  0.867367, Time  0.364930
2021-09-10 06:55:28.152542 : Epoch  9, Batch   1443, Loss  0.851963, Average Loss  0.867353, Time  0.458962
2021-09-10 06:55:29.940760 : Epoch  9, Batch   1444, Loss  0.836478, Average Loss  0.867275, Time  0.370873
2021-09-10 06:55:31.731929 : Epoch  9, Batch   1445, Loss  0.854064, Average Loss  0.867170, Time  0.365329
2021-09-10 06:55:33.552795 : Epoch  9, Batch   1446, Loss  0.863103, Average Loss  0.867337, Time  0.380792
2021-09-10 06:55:35.413560 : Epoch  9, Batch   1447, Loss  0.885674, Average Loss  0.867317, Time  0.455307
2021-09-10 06:55:37.205105 : Epoch  9, Batch   1448, Loss  0.855510, Average Loss  0.867379, Time  0.364416
2021-09-10 06:55:38.994774 : Epoch  9, Batch   1449, Loss  0.908645, Average Loss  0.867588, Time  0.357774
2021-09-10 06:55:40.793103 : Epoch  9, Batch   1450, Loss  0.881152, Average Loss  0.867681, Time  0.381003
2021-09-10 06:55:42.679779 : Epoch  9, Batch   1451, Loss  0.880519, Average Loss  0.867584, Time  0.456357
2021-09-10 06:55:44.510232 : Epoch  9, Batch   1452, Loss  0.837047, Average Loss  0.867463, Time  0.376510
2021-09-10 06:55:46.293782 : Epoch  9, Batch   1453, Loss  0.856367, Average Loss  0.867366, Time  0.365253
2021-09-10 06:55:48.058109 : Epoch  9, Batch   1454, Loss  0.849661, Average Loss  0.867412, Time  0.367865
2021-09-10 06:55:49.908915 : Epoch  9, Batch   1455, Loss  0.880464, Average Loss  0.867562, Time  0.453716
2021-09-10 06:55:51.766538 : Epoch  9, Batch   1456, Loss  0.876989, Average Loss  0.867582, Time  0.447659
2021-09-10 06:55:53.567816 : Epoch  9, Batch   1457, Loss  0.853252, Average Loss  0.867435, Time  0.379724
2021-09-10 06:55:55.328781 : Epoch  9, Batch   1458, Loss  0.866066, Average Loss  0.867488, Time  0.358282
2021-09-10 06:55:57.161875 : Epoch  9, Batch   1459, Loss  0.854223, Average Loss  0.867352, Time  0.416337
2021-09-10 06:55:59.057768 : Epoch  9, Batch   1460, Loss  0.857872, Average Loss  0.867306, Time  0.466903
2021-09-10 06:56:00.843119 : Epoch  9, Batch   1461, Loss  0.877138, Average Loss  0.867358, Time  0.350060
2021-09-10 06:56:02.634233 : Epoch  9, Batch   1462, Loss  0.878964, Average Loss  0.867473, Time  0.370725
2021-09-10 06:56:04.445104 : Epoch  9, Batch   1463, Loss  0.854678, Average Loss  0.867463, Time  0.356969
2021-09-10 06:56:06.319943 : Epoch  9, Batch   1464, Loss  0.889469, Average Loss  0.867566, Time  0.452413
2021-09-10 06:56:08.084809 : Epoch  9, Batch   1465, Loss  0.859347, Average Loss  0.867570, Time  0.361170
2021-09-10 06:56:09.862894 : Epoch  9, Batch   1466, Loss  0.843443, Average Loss  0.867424, Time  0.357766
2021-09-10 06:56:11.658220 : Epoch  9, Batch   1467, Loss  0.880809, Average Loss  0.867435, Time  0.375081
2021-09-10 06:56:13.553226 : Epoch  9, Batch   1468, Loss  0.890719, Average Loss  0.867767, Time  0.462076
2021-09-10 06:56:15.336774 : Epoch  9, Batch   1469, Loss  0.885811, Average Loss  0.867834, Time  0.348519
2021-09-10 06:56:17.152095 : Epoch  9, Batch   1470, Loss  0.885583, Average Loss  0.867838, Time  0.359222
2021-09-10 06:56:18.928783 : Epoch  9, Batch   1471, Loss  0.893324, Average Loss  0.867879, Time  0.370237
2021-09-10 06:56:20.884963 : Epoch  9, Batch   1472, Loss  0.901941, Average Loss  0.868188, Time  0.476694
2021-09-10 06:56:22.764844 : Epoch  9, Batch   1473, Loss  0.853381, Average Loss  0.868073, Time  0.447634
2021-09-10 06:56:24.570105 : Epoch  9, Batch   1474, Loss  0.852392, Average Loss  0.867945, Time  0.362123
2021-09-10 06:56:26.358692 : Epoch  9, Batch   1475, Loss  0.887045, Average Loss  0.868194, Time  0.359922
2021-09-10 06:56:28.183148 : Epoch  9, Batch   1476, Loss  0.875106, Average Loss  0.868308, Time  0.396787
2021-09-10 06:56:30.097107 : Epoch  9, Batch   1477, Loss  0.849047, Average Loss  0.868219, Time  0.463218
2021-09-10 06:56:31.989105 : Epoch  9, Batch   1478, Loss  0.856232, Average Loss  0.868144, Time  0.418141
2021-09-10 06:56:33.768345 : Epoch  9, Batch   1479, Loss  0.843738, Average Loss  0.867977, Time  0.365424
2021-09-10 06:56:35.540778 : Epoch  9, Batch   1480, Loss  0.860445, Average Loss  0.867952, Time  0.361024
2021-09-10 06:56:37.388888 : Epoch  9, Batch   1481, Loss  0.887540, Average Loss  0.867999, Time  0.436125
2021-09-10 06:56:39.258781 : Epoch  9, Batch   1482, Loss  0.884914, Average Loss  0.868173, Time  0.460673
2021-09-10 06:56:41.033227 : Epoch  9, Batch   1483, Loss  0.879672, Average Loss  0.868253, Time  0.366142
2021-09-10 06:56:42.809419 : Epoch  9, Batch   1484, Loss  0.867400, Average Loss  0.868323, Time  0.359695
2021-09-10 06:56:44.625762 : Epoch  9, Batch   1485, Loss  0.867270, Average Loss  0.868267, Time  0.391886
2021-09-10 06:56:46.496436 : Epoch  9, Batch   1486, Loss  0.856587, Average Loss  0.868248, Time  0.459129
2021-09-10 06:56:48.280764 : Epoch  9, Batch   1487, Loss  0.890545, Average Loss  0.868239, Time  0.357825
2021-09-10 06:56:50.067235 : Epoch  9, Batch   1488, Loss  0.855974, Average Loss  0.868168, Time  0.360604
2021-09-10 06:56:51.851761 : Epoch  9, Batch   1489, Loss  0.867917, Average Loss  0.868149, Time  0.367922
2021-09-10 06:56:53.730214 : Epoch  9, Batch   1490, Loss  0.885104, Average Loss  0.868126, Time  0.456679
2021-09-10 06:56:55.495803 : Epoch  9, Batch   1491, Loss  0.873914, Average Loss  0.868126, Time  0.362532
2021-09-10 06:56:57.299246 : Epoch  9, Batch   1492, Loss  0.848888, Average Loss  0.868132, Time  0.378879
2021-09-10 06:56:59.102110 : Epoch  9, Batch   1493, Loss  0.863668, Average Loss  0.867902, Time  0.363790
2021-09-10 06:57:00.980775 : Epoch  9, Batch   1494, Loss  0.868567, Average Loss  0.867943, Time  0.463279
2021-09-10 06:57:02.733226 : Epoch  9, Batch   1495, Loss  0.904042, Average Loss  0.868130, Time  0.354648
2021-09-10 06:57:04.557226 : Epoch  9, Batch   1496, Loss  0.862932, Average Loss  0.868032, Time  0.356396
2021-09-10 06:57:06.348097 : Epoch  9, Batch   1497, Loss  0.878326, Average Loss  0.868045, Time  0.366034
2021-09-10 06:57:08.229907 : Epoch  9, Batch   1498, Loss  0.872056, Average Loss  0.868093, Time  0.466253
2021-09-10 06:57:10.002113 : Epoch  9, Batch   1499, Loss  0.895131, Average Loss  0.868120, Time  0.362782
2021-09-10 06:57:11.777591 : Epoch  9, Batch   1500, Loss  0.847024, Average Loss  0.868004, Time  0.356132
2021-09-10 06:57:13.594227 : Epoch  9, Batch   1501, Loss  0.852379, Average Loss  0.868032, Time  0.385621
2021-09-10 06:57:15.478114 : Epoch  9, Batch   1502, Loss  0.857921, Average Loss  0.868046, Time  0.457851
2021-09-10 06:57:17.272877 : Epoch  9, Batch   1503, Loss  0.871952, Average Loss  0.867880, Time  0.373621
2021-09-10 06:57:19.059809 : Epoch  9, Batch   1504, Loss  0.877824, Average Loss  0.867820, Time  0.358514
2021-09-10 06:57:20.856092 : Epoch  9, Batch   1505, Loss  0.879161, Average Loss  0.867988, Time  0.372699
2021-09-10 06:57:22.725819 : Epoch  9, Batch   1506, Loss  0.877814, Average Loss  0.868131, Time  0.451631
2021-09-10 06:57:24.522773 : Epoch  9, Batch   1507, Loss  0.862645, Average Loss  0.868118, Time  0.369390
2021-09-10 06:57:26.314040 : Epoch  9, Batch   1508, Loss  0.862790, Average Loss  0.867809, Time  0.365455
2021-09-10 06:57:28.101774 : Epoch  9, Batch   1509, Loss  0.841607, Average Loss  0.867817, Time  0.366559
2021-09-10 06:57:29.981799 : Epoch  9, Batch   1510, Loss  0.879525, Average Loss  0.867843, Time  0.455817
2021-09-10 06:57:31.759906 : Epoch  9, Batch   1511, Loss  0.869316, Average Loss  0.867766, Time  0.350925
2021-09-10 06:57:33.570768 : Epoch  9, Batch   1512, Loss  0.876480, Average Loss  0.867838, Time  0.367056
2021-09-10 07:02:24.446718 : CheckPoint: Validation Loss  0.00062166, Best Loss  0.00056427
2021-09-10 07:02:26.287779 : Epoch  9, Batch   1513, Loss  0.873967, Average Loss  0.868029, Time  0.410842
2021-09-10 07:02:28.187778 : Epoch  9, Batch   1514, Loss  0.871730, Average Loss  0.868007, Time  0.460028
2021-09-10 07:02:29.965763 : Epoch  9, Batch   1515, Loss  0.851666, Average Loss  0.867859, Time  0.351542
2021-09-10 07:02:31.771069 : Epoch  9, Batch   1516, Loss  0.859714, Average Loss  0.867716, Time  0.375488
2021-09-10 07:02:33.555804 : Epoch  9, Batch   1517, Loss  0.878424, Average Loss  0.867735, Time  0.365031
2021-09-10 07:02:35.435102 : Epoch  9, Batch   1518, Loss  0.878469, Average Loss  0.867825, Time  0.453820
2021-09-10 07:02:37.340773 : Epoch  9, Batch   1519, Loss  0.852359, Average Loss  0.867627, Time  0.454478
2021-09-10 07:02:39.168779 : Epoch  9, Batch   1520, Loss  0.861278, Average Loss  0.867513, Time  0.366004
2021-09-10 07:02:40.940096 : Epoch  9, Batch   1521, Loss  0.863222, Average Loss  0.867419, Time  0.357084
2021-09-10 07:02:42.768111 : Epoch  9, Batch   1522, Loss  0.880550, Average Loss  0.867514, Time  0.398021
2021-09-10 07:02:44.675936 : Epoch  9, Batch   1523, Loss  0.926547, Average Loss  0.867837, Time  0.454866
2021-09-10 07:02:46.433775 : Epoch  9, Batch   1524, Loss  0.871072, Average Loss  0.868035, Time  0.358757
2021-09-10 07:02:48.203092 : Epoch  9, Batch   1525, Loss  0.871184, Average Loss  0.868059, Time  0.357089
2021-09-10 07:02:49.988227 : Epoch  9, Batch   1526, Loss  0.856865, Average Loss  0.868062, Time  0.370875
2021-09-10 07:02:51.870111 : Epoch  9, Batch   1527, Loss  0.854066, Average Loss  0.868128, Time  0.458167
2021-09-10 07:02:53.643824 : Epoch  9, Batch   1528, Loss  0.878621, Average Loss  0.868142, Time  0.356777
2021-09-10 07:02:55.441773 : Epoch  9, Batch   1529, Loss  0.879369, Average Loss  0.868251, Time  0.372409
2021-09-10 07:02:57.234098 : Epoch  9, Batch   1530, Loss  0.887748, Average Loss  0.868343, Time  0.361660
2021-09-10 07:02:59.104773 : Epoch  9, Batch   1531, Loss  0.833810, Average Loss  0.868392, Time  0.462420
2021-09-10 07:03:00.892874 : Epoch  9, Batch   1532, Loss  0.854947, Average Loss  0.868173, Time  0.358374
2021-09-10 07:03:02.666819 : Epoch  9, Batch   1533, Loss  0.881653, Average Loss  0.868244, Time  0.363598
2021-09-10 07:03:04.493907 : Epoch  9, Batch   1534, Loss  0.849930, Average Loss  0.868191, Time  0.374554
2021-09-10 07:03:06.377912 : Epoch  9, Batch   1535, Loss  0.878201, Average Loss  0.868292, Time  0.460723
2021-09-10 07:03:08.143082 : Epoch  9, Batch   1536, Loss  0.899820, Average Loss  0.868590, Time  0.359904
2021-09-10 07:03:09.927228 : Epoch  9, Batch   1537, Loss  0.863523, Average Loss  0.868648, Time  0.356908
2021-09-10 07:03:11.710177 : Epoch  9, Batch   1538, Loss  0.894862, Average Loss  0.868731, Time  0.382472
2021-09-10 07:03:13.594105 : Epoch  9, Batch   1539, Loss  0.867770, Average Loss  0.868655, Time  0.463576
2021-09-10 07:03:15.372774 : Epoch  9, Batch   1540, Loss  0.861424, Average Loss  0.868582, Time  0.364803
2021-09-10 07:03:17.162502 : Epoch  9, Batch   1541, Loss  0.886719, Average Loss  0.868625, Time  0.357948
2021-09-10 07:03:18.943127 : Epoch  9, Batch   1542, Loss  0.878993, Average Loss  0.868858, Time  0.371732
2021-09-10 07:03:20.815565 : Epoch  9, Batch   1543, Loss  0.898247, Average Loss  0.868916, Time  0.453389
2021-09-10 07:03:22.601390 : Epoch  9, Batch   1544, Loss  0.871480, Average Loss  0.868959, Time  0.358499
2021-09-10 07:03:24.360104 : Epoch  9, Batch   1545, Loss  0.849314, Average Loss  0.868801, Time  0.355480
2021-09-10 07:03:26.232944 : Epoch  9, Batch   1546, Loss  0.858245, Average Loss  0.868833, Time  0.389690
2021-09-10 07:03:28.121762 : Epoch  9, Batch   1547, Loss  0.875864, Average Loss  0.868872, Time  0.460572
2021-09-10 07:03:29.991229 : Epoch  9, Batch   1548, Loss  0.872043, Average Loss  0.869076, Time  0.422563
2021-09-10 07:03:31.762779 : Epoch  9, Batch   1549, Loss  0.857985, Average Loss  0.869018, Time  0.356892
2021-09-10 07:03:33.534844 : Epoch  9, Batch   1550, Loss  0.867572, Average Loss  0.869124, Time  0.356530
2021-09-10 07:03:35.401830 : Epoch  9, Batch   1551, Loss  0.821542, Average Loss  0.868939, Time  0.436096
2021-09-10 07:03:37.299782 : Epoch  9, Batch   1552, Loss  0.878174, Average Loss  0.869006, Time  0.451000
2021-09-10 07:03:39.099232 : Epoch  9, Batch   1553, Loss  0.867360, Average Loss  0.868948, Time  0.356719
2021-09-10 07:03:40.884943 : Epoch  9, Batch   1554, Loss  0.869109, Average Loss  0.868988, Time  0.362252
2021-09-10 07:03:42.680763 : Epoch  9, Batch   1555, Loss  0.850892, Average Loss  0.868908, Time  0.362132
2021-09-10 07:03:44.558078 : Epoch  9, Batch   1556, Loss  0.866282, Average Loss  0.868983, Time  0.449756
2021-09-10 07:03:46.340104 : Epoch  9, Batch   1557, Loss  0.850343, Average Loss  0.868870, Time  0.358263
2021-09-10 07:03:48.133773 : Epoch  9, Batch   1558, Loss  0.872499, Average Loss  0.868989, Time  0.363794
2021-09-10 07:03:49.967964 : Epoch  9, Batch   1559, Loss  0.852922, Average Loss  0.869102, Time  0.375355
2021-09-10 07:03:51.865759 : Epoch  9, Batch   1560, Loss  0.882083, Average Loss  0.869001, Time  0.461667
2021-09-10 07:03:53.705978 : Epoch  9, Batch   1561, Loss  0.854607, Average Loss  0.868855, Time  0.409353
2021-09-10 07:03:55.515763 : Epoch  9, Batch   1562, Loss  0.868744, Average Loss  0.868813, Time  0.358382
2021-09-10 07:03:57.317778 : Epoch  9, Batch   1563, Loss  0.875503, Average Loss  0.868661, Time  0.367597
2021-09-10 07:03:59.172846 : Epoch  9, Batch   1564, Loss  0.838770, Average Loss  0.868473, Time  0.418393
2021-09-10 07:04:01.068772 : Epoch  9, Batch   1565, Loss  0.889581, Average Loss  0.868589, Time  0.452042
2021-09-10 07:04:02.860229 : Epoch  9, Batch   1566, Loss  0.861713, Average Loss  0.868586, Time  0.371074
2021-09-10 07:04:04.646775 : Epoch  9, Batch   1567, Loss  0.879398, Average Loss  0.868566, Time  0.359630
2021-09-10 07:04:06.463109 : Epoch  9, Batch   1568, Loss  0.872427, Average Loss  0.868600, Time  0.376491
2021-09-10 07:04:08.346773 : Epoch  9, Batch   1569, Loss  0.865224, Average Loss  0.868464, Time  0.452302
2021-09-10 07:04:10.112779 : Epoch  9, Batch   1570, Loss  0.874954, Average Loss  0.868444, Time  0.342526
2021-09-10 07:04:11.907616 : Epoch  9, Batch   1571, Loss  0.901245, Average Loss  0.868541, Time  0.365331
2021-09-10 07:04:13.672551 : Epoch  9, Batch   1572, Loss  0.902865, Average Loss  0.868668, Time  0.358355
2021-09-10 07:04:15.527228 : Epoch  9, Batch   1573, Loss  0.878644, Average Loss  0.868785, Time  0.459519
2021-09-10 07:04:17.322778 : Epoch  9, Batch   1574, Loss  0.880960, Average Loss  0.868833, Time  0.370706
2021-09-10 07:04:19.109969 : Epoch  9, Batch   1575, Loss  0.881571, Average Loss  0.869029, Time  0.359396
2021-09-10 07:04:20.898774 : Epoch  9, Batch   1576, Loss  0.877722, Average Loss  0.869016, Time  0.368503
2021-09-10 07:04:22.781091 : Epoch  9, Batch   1577, Loss  0.865636, Average Loss  0.869103, Time  0.453108
2021-09-10 07:04:24.602766 : Epoch  9, Batch   1578, Loss  0.892373, Average Loss  0.869144, Time  0.379923
2021-09-10 07:04:26.364883 : Epoch  9, Batch   1579, Loss  0.901427, Average Loss  0.869249, Time  0.357455
2021-09-10 07:04:28.132319 : Epoch  9, Batch   1580, Loss  0.884820, Average Loss  0.869337, Time  0.365637
2021-09-10 07:04:30.014881 : Epoch  9, Batch   1581, Loss  0.844274, Average Loss  0.869222, Time  0.466409
2021-09-10 07:04:31.890776 : Epoch  9, Batch   1582, Loss  0.872709, Average Loss  0.869299, Time  0.458077
2021-09-10 07:04:33.702091 : Epoch  9, Batch   1583, Loss  0.893989, Average Loss  0.869500, Time  0.363344
2021-09-10 07:04:35.493770 : Epoch  9, Batch   1584, Loss  0.874081, Average Loss  0.869591, Time  0.357881
2021-09-10 07:04:37.325877 : Epoch  9, Batch   1585, Loss  0.875293, Average Loss  0.869681, Time  0.398040
2021-09-10 07:04:39.231776 : Epoch  9, Batch   1586, Loss  0.898450, Average Loss  0.869816, Time  0.460872
2021-09-10 07:04:41.024773 : Epoch  9, Batch   1587, Loss  0.879854, Average Loss  0.869876, Time  0.363315
2021-09-10 07:04:42.818894 : Epoch  9, Batch   1588, Loss  0.878462, Average Loss  0.870104, Time  0.359214
2021-09-10 07:04:44.605764 : Epoch  9, Batch   1589, Loss  0.865736, Average Loss  0.870013, Time  0.369462
2021-09-10 07:04:46.446839 : Epoch  9, Batch   1590, Loss  0.883472, Average Loss  0.870165, Time  0.430974
2021-09-10 07:04:48.235235 : Epoch  9, Batch   1591, Loss  0.863856, Average Loss  0.870265, Time  0.361959
2021-09-10 07:04:50.003235 : Epoch  9, Batch   1592, Loss  0.845849, Average Loss  0.870339, Time  0.355578
2021-09-10 07:04:51.838102 : Epoch  9, Batch   1593, Loss  0.866715, Average Loss  0.870287, Time  0.411503
2021-09-10 07:04:53.728223 : Epoch  9, Batch   1594, Loss  0.885725, Average Loss  0.870337, Time  0.460691
2021-09-10 07:04:55.493279 : Epoch  9, Batch   1595, Loss  0.877587, Average Loss  0.870322, Time  0.351333
2021-09-10 07:04:57.268778 : Epoch  9, Batch   1596, Loss  0.890371, Average Loss  0.870388, Time  0.359244
2021-09-10 07:04:59.073767 : Epoch  9, Batch   1597, Loss  0.864594, Average Loss  0.870198, Time  0.374089
2021-09-10 07:05:00.960906 : Epoch  9, Batch   1598, Loss  0.853026, Average Loss  0.870279, Time  0.453715
2021-09-10 07:05:02.763575 : Epoch  9, Batch   1599, Loss  0.853949, Average Loss  0.870269, Time  0.355261
2021-09-10 07:05:04.545109 : Epoch  9, Batch   1600, Loss  0.881495, Average Loss  0.870400, Time  0.358535
2021-09-10 07:05:06.344065 : Epoch  9, Batch   1601, Loss  0.872831, Average Loss  0.870490, Time  0.376392
2021-09-10 07:05:08.220252 : Epoch  9, Batch   1602, Loss  0.886975, Average Loss  0.870452, Time  0.451869
2021-09-10 07:05:10.003858 : Epoch  9, Batch   1603, Loss  0.892104, Average Loss  0.870620, Time  0.368459
2021-09-10 07:05:11.773197 : Epoch  9, Batch   1604, Loss  0.895940, Average Loss  0.870650, Time  0.353075
2021-09-10 07:05:13.586873 : Epoch  9, Batch   1605, Loss  0.874386, Average Loss  0.870713, Time  0.391165
2021-09-10 07:05:15.498775 : Epoch  9, Batch   1606, Loss  0.856169, Average Loss  0.870664, Time  0.461291
2021-09-10 07:05:17.283101 : Epoch  9, Batch   1607, Loss  0.868007, Average Loss  0.870631, Time  0.330943
2021-09-10 07:05:19.085773 : Epoch  9, Batch   1608, Loss  0.830837, Average Loss  0.870367, Time  0.368469
2021-09-10 07:05:20.970109 : Epoch  9, Batch   1609, Loss  0.892034, Average Loss  0.870503, Time  0.459996
2021-09-10 07:05:22.748093 : Epoch  9, Batch   1610, Loss  0.861081, Average Loss  0.870338, Time  0.364825
2021-09-10 07:05:24.524102 : Epoch  9, Batch   1611, Loss  0.896444, Average Loss  0.870455, Time  0.358467
2021-09-10 07:05:26.327779 : Epoch  9, Batch   1612, Loss  0.841237, Average Loss  0.870372, Time  0.372627
2021-09-10 07:10:17.542711 : CheckPoint: Validation Loss  0.00059389, Best Loss  0.00056427
2021-09-10 07:10:19.403017 : Epoch  9, Batch   1613, Loss  0.877548, Average Loss  0.870575, Time  0.422483
2021-09-10 07:10:21.187768 : Epoch  9, Batch   1614, Loss  0.848208, Average Loss  0.870465, Time  0.357642
2021-09-10 07:10:23.019882 : Epoch  9, Batch   1615, Loss  0.901978, Average Loss  0.870779, Time  0.412413
2021-09-10 07:10:24.811996 : Epoch  9, Batch   1616, Loss  0.858305, Average Loss  0.870586, Time  0.355695
2021-09-10 07:10:26.638023 : Epoch  9, Batch   1617, Loss  0.858152, Average Loss  0.870646, Time  0.388549
2021-09-10 07:10:28.443985 : Epoch  9, Batch   1618, Loss  0.903306, Average Loss  0.870709, Time  0.359026
2021-09-10 07:10:30.231537 : Epoch  9, Batch   1619, Loss  0.869994, Average Loss  0.870717, Time  0.374301
2021-09-10 07:10:32.048774 : Epoch  9, Batch   1620, Loss  0.846052, Average Loss  0.870537, Time  0.373639
2021-09-10 07:10:33.840722 : Epoch  9, Batch   1621, Loss  0.863965, Average Loss  0.870449, Time  0.365526
2021-09-10 07:10:35.639822 : Epoch  9, Batch   1622, Loss  0.873491, Average Loss  0.870532, Time  0.361795
2021-09-10 07:10:37.417107 : Epoch  9, Batch   1623, Loss  0.855508, Average Loss  0.870540, Time  0.372015
2021-09-10 07:10:39.184107 : Epoch  9, Batch   1624, Loss  0.874574, Average Loss  0.870595, Time  0.360756
2021-09-10 07:10:40.974454 : Epoch  9, Batch   1625, Loss  0.872934, Average Loss  0.870713, Time  0.372207
2021-09-10 07:10:42.745771 : Epoch  9, Batch   1626, Loss  0.883089, Average Loss  0.870710, Time  0.357319
2021-09-10 07:10:44.562830 : Epoch  9, Batch   1627, Loss  0.884651, Average Loss  0.870587, Time  0.378691
2021-09-10 07:10:46.327380 : Epoch  9, Batch   1628, Loss  0.879839, Average Loss  0.870784, Time  0.360556
2021-09-10 07:10:48.115773 : Epoch  9, Batch   1629, Loss  0.868303, Average Loss  0.870781, Time  0.374086
2021-09-10 07:10:49.908775 : Epoch  9, Batch   1630, Loss  0.872246, Average Loss  0.870738, Time  0.358451
2021-09-10 07:10:51.729774 : Epoch  9, Batch   1631, Loss  0.848544, Average Loss  0.870634, Time  0.375458
2021-09-10 07:10:53.542776 : Epoch  9, Batch   1632, Loss  0.871731, Average Loss  0.870449, Time  0.363311
2021-09-10 07:10:55.337774 : Epoch  9, Batch   1633, Loss  0.869574, Average Loss  0.870433, Time  0.375585
2021-09-10 07:10:57.135765 : Epoch  9, Batch   1634, Loss  0.870236, Average Loss  0.870506, Time  0.379744
2021-09-10 07:10:58.907823 : Epoch  9, Batch   1635, Loss  0.862770, Average Loss  0.870553, Time  0.373041
2021-09-10 07:11:00.672104 : Epoch  9, Batch   1636, Loss  0.880812, Average Loss  0.870670, Time  0.365048
2021-09-10 07:11:02.460775 : Epoch  9, Batch   1637, Loss  0.862796, Average Loss  0.870813, Time  0.379409
2021-09-10 07:11:04.255099 : Epoch  9, Batch   1638, Loss  0.871738, Average Loss  0.870646, Time  0.371060
2021-09-10 07:11:06.038604 : Epoch  9, Batch   1639, Loss  0.846245, Average Loss  0.870446, Time  0.368076
2021-09-10 07:11:07.836102 : Epoch  9, Batch   1640, Loss  0.866678, Average Loss  0.870460, Time  0.361330
2021-09-10 07:11:09.637771 : Epoch  9, Batch   1641, Loss  0.858047, Average Loss  0.870306, Time  0.374335
2021-09-10 07:11:11.410108 : Epoch  9, Batch   1642, Loss  0.880672, Average Loss  0.870464, Time  0.358031
2021-09-10 07:11:13.207057 : Epoch  9, Batch   1643, Loss  0.872317, Average Loss  0.870565, Time  0.368640
2021-09-10 07:11:14.994230 : Epoch  9, Batch   1644, Loss  0.882604, Average Loss  0.870796, Time  0.364213
2021-09-10 07:11:16.796780 : Epoch  9, Batch   1645, Loss  0.867111, Average Loss  0.870861, Time  0.370687
2021-09-10 07:11:18.607767 : Epoch  9, Batch   1646, Loss  0.904160, Average Loss  0.871066, Time  0.381202
2021-09-10 07:11:20.390763 : Epoch  9, Batch   1647, Loss  0.897903, Average Loss  0.871128, Time  0.366621
2021-09-10 07:11:22.153762 : Epoch  9, Batch   1648, Loss  0.871985, Average Loss  0.871210, Time  0.366644
2021-09-10 07:11:23.941774 : Epoch  9, Batch   1649, Loss  0.867826, Average Loss  0.871006, Time  0.376357
2021-09-10 07:11:25.730097 : Epoch  9, Batch   1650, Loss  0.861830, Average Loss  0.870909, Time  0.358310
2021-09-10 07:11:27.519520 : Epoch  9, Batch   1651, Loss  0.833248, Average Loss  0.870673, Time  0.375507
2021-09-10 07:11:29.287816 : Epoch  9, Batch   1652, Loss  0.868908, Average Loss  0.870832, Time  0.364280
2021-09-10 07:11:31.068802 : Epoch  9, Batch   1653, Loss  0.874855, Average Loss  0.870925, Time  0.377122
2021-09-10 07:11:32.857864 : Epoch  9, Batch   1654, Loss  0.867620, Average Loss  0.871014, Time  0.359890
2021-09-10 07:11:34.675773 : Epoch  9, Batch   1655, Loss  0.868022, Average Loss  0.870952, Time  0.393815
2021-09-10 07:11:36.462775 : Epoch  9, Batch   1656, Loss  0.834380, Average Loss  0.870739, Time  0.359989
2021-09-10 07:11:38.256979 : Epoch  9, Batch   1657, Loss  0.874922, Average Loss  0.870848, Time  0.364879
2021-09-10 07:11:40.052859 : Epoch  9, Batch   1658, Loss  0.822958, Average Loss  0.870632, Time  0.358366
2021-09-10 07:11:41.838768 : Epoch  9, Batch   1659, Loss  0.855613, Average Loss  0.870639, Time  0.368771
2021-09-10 07:11:43.609772 : Epoch  9, Batch   1660, Loss  0.816151, Average Loss  0.870430, Time  0.362454
2021-09-10 07:11:45.393779 : Epoch  9, Batch   1661, Loss  0.888627, Average Loss  0.870488, Time  0.384626
2021-09-10 07:11:47.159768 : Epoch  9, Batch   1662, Loss  0.868375, Average Loss  0.870435, Time  0.364830
2021-09-10 07:11:48.950893 : Epoch  9, Batch   1663, Loss  0.863961, Average Loss  0.870481, Time  0.380546
2021-09-10 07:11:50.752770 : Epoch  9, Batch   1664, Loss  0.851820, Average Loss  0.870293, Time  0.358480
2021-09-10 07:11:52.552775 : Epoch  9, Batch   1665, Loss  0.841746, Average Loss  0.870205, Time  0.372660
2021-09-10 07:11:54.349908 : Epoch  9, Batch   1666, Loss  0.875414, Average Loss  0.870365, Time  0.360155
2021-09-10 07:11:56.154134 : Epoch  9, Batch   1667, Loss  0.880142, Average Loss  0.870362, Time  0.364317
2021-09-10 07:11:57.948824 : Epoch  9, Batch   1668, Loss  0.873064, Average Loss  0.870273, Time  0.364504
2021-09-10 07:11:59.720918 : Epoch  9, Batch   1669, Loss  0.851846, Average Loss  0.870103, Time  0.370389
2021-09-10 07:12:01.511764 : Epoch  9, Batch   1670, Loss  0.859158, Average Loss  0.869971, Time  0.357531
2021-09-10 07:12:03.319872 : Epoch  9, Batch   1671, Loss  0.884947, Average Loss  0.869929, Time  0.367709
2021-09-10 07:12:05.106770 : Epoch  9, Batch   1672, Loss  0.877016, Average Loss  0.869805, Time  0.360507
2021-09-10 07:12:06.918778 : Epoch  9, Batch   1673, Loss  0.860061, Average Loss  0.869838, Time  0.368195
2021-09-10 07:12:08.724773 : Epoch  9, Batch   1674, Loss  0.909731, Average Loss  0.870125, Time  0.359959
2021-09-10 07:12:10.528779 : Epoch  9, Batch   1675, Loss  0.864216, Average Loss  0.870011, Time  0.362989
2021-09-10 07:12:12.349763 : Epoch  9, Batch   1676, Loss  0.880501, Average Loss  0.870038, Time  0.359428
2021-09-10 07:12:14.139080 : Epoch  9, Batch   1677, Loss  0.861858, Average Loss  0.870102, Time  0.359005
2021-09-10 07:12:15.923765 : Epoch  9, Batch   1678, Loss  0.878662, Average Loss  0.870214, Time  0.356900
2021-09-10 07:12:17.718895 : Epoch  9, Batch   1679, Loss  0.871967, Average Loss  0.870355, Time  0.372573
2021-09-10 07:12:19.569762 : Epoch  9, Batch   1680, Loss  0.867185, Average Loss  0.870389, Time  0.367138
2021-09-10 07:12:21.369095 : Epoch  9, Batch   1681, Loss  0.856524, Average Loss  0.870234, Time  0.368708
2021-09-10 07:12:23.166759 : Epoch  9, Batch   1682, Loss  0.853967, Average Loss  0.870079, Time  0.364545
2021-09-10 07:12:24.974760 : Epoch  9, Batch   1683, Loss  0.877367, Average Loss  0.870067, Time  0.379528
2021-09-10 07:12:26.761085 : Epoch  9, Batch   1684, Loss  0.907130, Average Loss  0.870266, Time  0.359593
2021-09-10 07:12:28.563774 : Epoch  9, Batch   1685, Loss  0.873148, Average Loss  0.870295, Time  0.358532
2021-09-10 07:12:30.465220 : Epoch  9, Batch   1686, Loss  0.854791, Average Loss  0.870286, Time  0.465120
2021-09-10 07:12:32.369770 : Epoch  9, Batch   1687, Loss  0.893612, Average Loss  0.870302, Time  0.452230
2021-09-10 07:12:34.168776 : Epoch  9, Batch   1688, Loss  0.876653, Average Loss  0.870405, Time  0.363665
2021-09-10 07:12:35.925774 : Epoch  9, Batch   1689, Loss  0.884995, Average Loss  0.870491, Time  0.355534
2021-09-10 07:12:37.752773 : Epoch  9, Batch   1690, Loss  0.900935, Average Loss  0.870570, Time  0.419562
2021-09-10 07:12:39.644761 : Epoch  9, Batch   1691, Loss  0.866539, Average Loss  0.870533, Time  0.453462
2021-09-10 07:12:41.461218 : Epoch  9, Batch   1692, Loss  0.876882, Average Loss  0.870673, Time  0.368269
2021-09-10 07:12:43.243817 : Epoch  9, Batch   1693, Loss  0.845786, Average Loss  0.870583, Time  0.355325
2021-09-10 07:12:45.029830 : Epoch  9, Batch   1694, Loss  0.860688, Average Loss  0.870544, Time  0.370951
2021-09-10 07:12:46.917768 : Epoch  9, Batch   1695, Loss  0.871451, Average Loss  0.870381, Time  0.472982
2021-09-10 07:12:48.712156 : Epoch  9, Batch   1696, Loss  0.839186, Average Loss  0.870262, Time  0.357185
2021-09-10 07:12:50.498793 : Epoch  9, Batch   1697, Loss  0.847148, Average Loss  0.870106, Time  0.361827
2021-09-10 07:12:52.306781 : Epoch  9, Batch   1698, Loss  0.838904, Average Loss  0.869941, Time  0.381800
2021-09-10 07:12:54.213999 : Epoch  9, Batch   1699, Loss  0.870162, Average Loss  0.869816, Time  0.457169
2021-09-10 07:12:56.101766 : Epoch  9, Batch   1700, Loss  0.852394, Average Loss  0.869843, Time  0.419560
2021-09-10 07:12:57.888775 : Epoch  9, Batch   1701, Loss  0.856436, Average Loss  0.869863, Time  0.366506
2021-09-10 07:12:59.731777 : Epoch  9, Batch   1702, Loss  0.874151, Average Loss  0.869944, Time  0.437340
2021-09-10 07:13:01.619772 : Epoch  9, Batch   1703, Loss  0.865821, Average Loss  0.869913, Time  0.458982
2021-09-10 07:13:03.422775 : Epoch  9, Batch   1704, Loss  0.878008, Average Loss  0.869914, Time  0.365379
2021-09-10 07:13:05.207000 : Epoch  9, Batch   1705, Loss  0.873434, Average Loss  0.869886, Time  0.357286
2021-09-10 07:13:07.031778 : Epoch  9, Batch   1706, Loss  0.884531, Average Loss  0.869919, Time  0.394694
2021-09-10 07:13:08.909894 : Epoch  9, Batch   1707, Loss  0.845006, Average Loss  0.869831, Time  0.450486
2021-09-10 07:13:10.711784 : Epoch  9, Batch   1708, Loss  0.857089, Average Loss  0.869803, Time  0.373868
2021-09-10 07:13:12.478774 : Epoch  9, Batch   1709, Loss  0.872327, Average Loss  0.869956, Time  0.360398
2021-09-10 07:13:14.319110 : Epoch  9, Batch   1710, Loss  0.869989, Average Loss  0.869909, Time  0.421362
2021-09-10 07:13:16.194773 : Epoch  9, Batch   1711, Loss  0.832076, Average Loss  0.869722, Time  0.460685
2021-09-10 07:13:17.962896 : Epoch  9, Batch   1712, Loss  0.847904, Average Loss  0.869579, Time  0.356262
2021-09-10 07:18:09.316714 : CheckPoint: Validation Loss  0.00060589, Best Loss  0.00056427
2021-09-10 07:18:11.114780 : Epoch  9, Batch   1713, Loss  0.892611, Average Loss  0.869673, Time  0.364112
2021-09-10 07:18:12.937061 : Epoch  9, Batch   1714, Loss  0.880258, Average Loss  0.869715, Time  0.392034
2021-09-10 07:18:14.845763 : Epoch  9, Batch   1715, Loss  0.837720, Average Loss  0.869646, Time  0.463895
2021-09-10 07:18:16.597763 : Epoch  9, Batch   1716, Loss  0.860712, Average Loss  0.869651, Time  0.353601
2021-09-10 07:18:18.397779 : Epoch  9, Batch   1717, Loss  0.879793, Average Loss  0.869657, Time  0.378170
2021-09-10 07:18:20.209760 : Epoch  9, Batch   1718, Loss  0.879882, Average Loss  0.869665, Time  0.357570
2021-09-10 07:18:22.113762 : Epoch  9, Batch   1719, Loss  0.866637, Average Loss  0.869736, Time  0.452178
2021-09-10 07:18:23.980912 : Epoch  9, Batch   1720, Loss  0.847686, Average Loss  0.869668, Time  0.416101
2021-09-10 07:18:25.765779 : Epoch  9, Batch   1721, Loss  0.869309, Average Loss  0.869698, Time  0.360337
2021-09-10 07:18:27.534823 : Epoch  9, Batch   1722, Loss  0.876034, Average Loss  0.869676, Time  0.365228
2021-09-10 07:18:29.393767 : Epoch  9, Batch   1723, Loss  0.845175, Average Loss  0.869269, Time  0.448929
2021-09-10 07:18:31.271776 : Epoch  9, Batch   1724, Loss  0.852702, Average Loss  0.869177, Time  0.458145
2021-09-10 07:18:33.068863 : Epoch  9, Batch   1725, Loss  0.875174, Average Loss  0.869197, Time  0.365593
2021-09-10 07:18:34.861777 : Epoch  9, Batch   1726, Loss  0.883622, Average Loss  0.869331, Time  0.356659
2021-09-10 07:18:36.650322 : Epoch  9, Batch   1727, Loss  0.884029, Average Loss  0.869481, Time  0.363822
2021-09-10 07:18:38.566764 : Epoch  9, Batch   1728, Loss  0.863682, Average Loss  0.869406, Time  0.457450
2021-09-10 07:18:40.462776 : Epoch  9, Batch   1729, Loss  0.879508, Average Loss  0.869407, Time  0.423790
2021-09-10 07:18:42.275650 : Epoch  9, Batch   1730, Loss  0.877700, Average Loss  0.869356, Time  0.374615
2021-09-10 07:18:44.044761 : Epoch  9, Batch   1731, Loss  0.885484, Average Loss  0.869615, Time  0.362535
2021-09-10 07:18:45.885781 : Epoch  9, Batch   1732, Loss  0.830555, Average Loss  0.869493, Time  0.433733
2021-09-10 07:18:47.785881 : Epoch  9, Batch   1733, Loss  0.865216, Average Loss  0.869411, Time  0.454162
2021-09-10 07:18:49.605779 : Epoch  9, Batch   1734, Loss  0.851417, Average Loss  0.869418, Time  0.353539
2021-09-10 07:18:51.392771 : Epoch  9, Batch   1735, Loss  0.841179, Average Loss  0.869233, Time  0.368123
2021-09-10 07:18:53.185777 : Epoch  9, Batch   1736, Loss  0.884508, Average Loss  0.869156, Time  0.360099
2021-09-10 07:18:55.051775 : Epoch  9, Batch   1737, Loss  0.887622, Average Loss  0.869277, Time  0.459132
2021-09-10 07:18:56.902775 : Epoch  9, Batch   1738, Loss  0.894884, Average Loss  0.869277, Time  0.429373
2021-09-10 07:18:58.703235 : Epoch  9, Batch   1739, Loss  0.869631, Average Loss  0.869286, Time  0.357652
2021-09-10 07:19:00.485775 : Epoch  9, Batch   1740, Loss  0.887674, Average Loss  0.869418, Time  0.356830
2021-09-10 07:19:02.346839 : Epoch  9, Batch   1741, Loss  0.864002, Average Loss  0.869304, Time  0.430802
2021-09-10 07:19:04.233776 : Epoch  9, Batch   1742, Loss  0.880858, Average Loss  0.869313, Time  0.451933
2021-09-10 07:19:06.014774 : Epoch  9, Batch   1743, Loss  0.827336, Average Loss  0.868959, Time  0.356347
2021-09-10 07:19:07.795263 : Epoch  9, Batch   1744, Loss  0.856524, Average Loss  0.868884, Time  0.358291
2021-09-10 07:19:09.609808 : Epoch  9, Batch   1745, Loss  0.887793, Average Loss  0.869076, Time  0.382320
2021-09-10 07:19:11.487106 : Epoch  9, Batch   1746, Loss  0.851302, Average Loss  0.869042, Time  0.461650
2021-09-10 07:19:13.264774 : Epoch  9, Batch   1747, Loss  0.836751, Average Loss  0.868846, Time  0.358262
2021-09-10 07:19:15.069777 : Epoch  9, Batch   1748, Loss  0.889512, Average Loss  0.868933, Time  0.363596
2021-09-10 07:19:16.868774 : Epoch  9, Batch   1749, Loss  0.864979, Average Loss  0.868968, Time  0.379992
2021-09-10 07:19:18.757762 : Epoch  9, Batch   1750, Loss  0.834014, Average Loss  0.868801, Time  0.452624
2021-09-10 07:19:20.531028 : Epoch  9, Batch   1751, Loss  0.884056, Average Loss  0.869113, Time  0.372101
2021-09-10 07:19:22.304762 : Epoch  9, Batch   1752, Loss  0.846624, Average Loss  0.868955, Time  0.356242
2021-09-10 07:19:24.119065 : Epoch  9, Batch   1753, Loss  0.883731, Average Loss  0.869037, Time  0.378664
2021-09-10 07:19:25.991776 : Epoch  9, Batch   1754, Loss  0.867396, Average Loss  0.869029, Time  0.452254
2021-09-10 07:19:27.788764 : Epoch  9, Batch   1755, Loss  0.874818, Average Loss  0.869148, Time  0.356103
2021-09-10 07:19:29.576776 : Epoch  9, Batch   1756, Loss  0.873761, Average Loss  0.869186, Time  0.357383
2021-09-10 07:19:31.377777 : Epoch  9, Batch   1757, Loss  0.896257, Average Loss  0.869415, Time  0.361693
2021-09-10 07:19:33.278783 : Epoch  9, Batch   1758, Loss  0.862478, Average Loss  0.869365, Time  0.453665
2021-09-10 07:19:35.162901 : Epoch  9, Batch   1759, Loss  0.887363, Average Loss  0.869537, Time  0.426895
2021-09-10 07:19:36.961763 : Epoch  9, Batch   1760, Loss  0.838493, Average Loss  0.869319, Time  0.360623
2021-09-10 07:19:38.766899 : Epoch  9, Batch   1761, Loss  0.891854, Average Loss  0.869506, Time  0.360991
2021-09-10 07:19:40.611761 : Epoch  9, Batch   1762, Loss  0.897375, Average Loss  0.869649, Time  0.412819
2021-09-10 07:19:42.498076 : Epoch  9, Batch   1763, Loss  0.876152, Average Loss  0.869652, Time  0.452263
2021-09-10 07:19:44.260868 : Epoch  9, Batch   1764, Loss  0.886971, Average Loss  0.869893, Time  0.356848
2021-09-10 07:19:46.042901 : Epoch  9, Batch   1765, Loss  0.868544, Average Loss  0.869788, Time  0.358553
2021-09-10 07:19:47.853114 : Epoch  9, Batch   1766, Loss  0.897638, Average Loss  0.869968, Time  0.387167
2021-09-10 07:19:49.729774 : Epoch  9, Batch   1767, Loss  0.846097, Average Loss  0.869801, Time  0.464754
2021-09-10 07:19:51.524767 : Epoch  9, Batch   1768, Loss  0.900454, Average Loss  0.869941, Time  0.359917
2021-09-10 07:19:53.309777 : Epoch  9, Batch   1769, Loss  0.873191, Average Loss  0.869981, Time  0.357979
2021-09-10 07:19:55.111778 : Epoch  9, Batch   1770, Loss  0.870321, Average Loss  0.869958, Time  0.354600
2021-09-10 07:19:56.999242 : Epoch  9, Batch   1771, Loss  0.857855, Average Loss  0.869741, Time  0.452416
2021-09-10 07:19:58.755778 : Epoch  9, Batch   1772, Loss  0.872658, Average Loss  0.869590, Time  0.335802
2021-09-10 07:20:00.556775 : Epoch  9, Batch   1773, Loss  0.877788, Average Loss  0.869586, Time  0.356484
2021-09-10 07:20:02.357774 : Epoch  9, Batch   1774, Loss  0.882791, Average Loss  0.869595, Time  0.355970
2021-09-10 07:20:04.225988 : Epoch  9, Batch   1775, Loss  0.872825, Average Loss  0.869551, Time  0.458883
2021-09-10 07:20:06.002776 : Epoch  9, Batch   1776, Loss  0.848792, Average Loss  0.869406, Time  0.356044
2021-09-10 07:20:07.786838 : Epoch  9, Batch   1777, Loss  0.877026, Average Loss  0.869463, Time  0.372494
2021-09-10 07:20:09.598774 : Epoch  9, Batch   1778, Loss  0.846626, Average Loss  0.869235, Time  0.369731
2021-09-10 07:20:11.531934 : Epoch  9, Batch   1779, Loss  0.848234, Average Loss  0.868969, Time  0.446784
2021-09-10 07:20:13.372070 : Epoch  9, Batch   1780, Loss  0.860646, Average Loss  0.868848, Time  0.412117
2021-09-10 07:20:15.176919 : Epoch  9, Batch   1781, Loss  0.848664, Average Loss  0.868870, Time  0.356814
2021-09-10 07:20:16.981770 : Epoch  9, Batch   1782, Loss  0.874800, Average Loss  0.868880, Time  0.356574
2021-09-10 07:20:18.861763 : Epoch  9, Batch   1783, Loss  0.867004, Average Loss  0.868745, Time  0.437047
2021-09-10 07:20:20.740821 : Epoch  9, Batch   1784, Loss  0.858873, Average Loss  0.868669, Time  0.456507
2021-09-10 07:20:22.525775 : Epoch  9, Batch   1785, Loss  0.858288, Average Loss  0.868584, Time  0.360370
2021-09-10 07:20:24.315960 : Epoch  9, Batch   1786, Loss  0.867372, Average Loss  0.868429, Time  0.373672
2021-09-10 07:20:26.089838 : Epoch  9, Batch   1787, Loss  0.877086, Average Loss  0.868415, Time  0.367255
2021-09-10 07:20:27.970761 : Epoch  9, Batch   1788, Loss  0.887839, Average Loss  0.868462, Time  0.452468
2021-09-10 07:20:29.832932 : Epoch  9, Batch   1789, Loss  0.878926, Average Loss  0.868528, Time  0.406056
2021-09-10 07:20:31.623767 : Epoch  9, Batch   1790, Loss  0.876661, Average Loss  0.868494, Time  0.364247
2021-09-10 07:20:33.405774 : Epoch  9, Batch   1791, Loss  0.876839, Average Loss  0.868559, Time  0.367315
2021-09-10 07:20:35.291763 : Epoch  9, Batch   1792, Loss  0.876895, Average Loss  0.868714, Time  0.443061
2021-09-10 07:20:37.181759 : Epoch  9, Batch   1793, Loss  0.893013, Average Loss  0.868845, Time  0.464476
2021-09-10 07:20:38.955818 : Epoch  9, Batch   1794, Loss  0.856815, Average Loss  0.868701, Time  0.355421
2021-09-10 07:20:40.753762 : Epoch  9, Batch   1795, Loss  0.855495, Average Loss  0.868590, Time  0.369512
2021-09-10 07:20:42.566075 : Epoch  9, Batch   1796, Loss  0.884316, Average Loss  0.868560, Time  0.364639
2021-09-10 07:20:44.478834 : Epoch  9, Batch   1797, Loss  0.876758, Average Loss  0.868621, Time  0.452188
2021-09-10 07:20:46.337776 : Epoch  9, Batch   1798, Loss  0.856732, Average Loss  0.868639, Time  0.411997
2021-09-10 07:20:48.167766 : Epoch  9, Batch   1799, Loss  0.859899, Average Loss  0.868669, Time  0.359687
2021-09-10 07:20:49.964765 : Epoch  9, Batch   1800, Loss  0.875085, Average Loss  0.868637, Time  0.358458
2021-09-10 07:20:51.791820 : Epoch  9, Batch   1801, Loss  0.853085, Average Loss  0.868538, Time  0.419356
2021-09-10 07:20:53.682763 : Epoch  9, Batch   1802, Loss  0.857221, Average Loss  0.868390, Time  0.454372
2021-09-10 07:20:55.473780 : Epoch  9, Batch   1803, Loss  0.856059, Average Loss  0.868209, Time  0.367372
2021-09-10 07:20:57.279844 : Epoch  9, Batch   1804, Loss  0.834737, Average Loss  0.867903, Time  0.370233
2021-09-10 07:20:59.080782 : Epoch  9, Batch   1805, Loss  0.871706, Average Loss  0.867890, Time  0.372670
2021-09-10 07:21:00.957790 : Epoch  9, Batch   1806, Loss  0.856699, Average Loss  0.867893, Time  0.463337
2021-09-10 07:21:02.744779 : Epoch  9, Batch   1807, Loss  0.881506, Average Loss  0.867960, Time  0.355269
2021-09-10 07:21:04.534917 : Epoch  9, Batch   1808, Loss  0.868556, Average Loss  0.868149, Time  0.367671
2021-09-10 07:21:06.347890 : Epoch  9, Batch   1809, Loss  0.856426, Average Loss  0.867971, Time  0.385647
2021-09-10 07:21:08.230815 : Epoch  9, Batch   1810, Loss  0.869512, Average Loss  0.868013, Time  0.461075
2021-09-10 07:21:09.993453 : Epoch  9, Batch   1811, Loss  0.860910, Average Loss  0.867835, Time  0.355911
2021-09-10 07:21:11.806854 : Epoch  9, Batch   1812, Loss  0.851606, Average Loss  0.867887, Time  0.357458
2021-09-10 07:26:02.414722 : CheckPoint: Validation Loss  0.00061276, Best Loss  0.00056427
2021-09-10 07:26:04.192776 : Epoch  9, Batch   1813, Loss  0.863479, Average Loss  0.867817, Time  0.369129
2021-09-10 07:26:05.961772 : Epoch  9, Batch   1814, Loss  0.885672, Average Loss  0.868004, Time  0.356280
2021-09-10 07:26:07.842066 : Epoch  9, Batch   1815, Loss  0.873699, Average Loss  0.867863, Time  0.440537
2021-09-10 07:26:09.761806 : Epoch  9, Batch   1816, Loss  0.844867, Average Loss  0.867795, Time  0.462663
2021-09-10 07:26:11.627870 : Epoch  9, Batch   1817, Loss  0.854248, Average Loss  0.867776, Time  0.424109
2021-09-10 07:26:13.410777 : Epoch  9, Batch   1818, Loss  0.851408, Average Loss  0.867516, Time  0.368145
2021-09-10 07:26:15.186860 : Epoch  9, Batch   1819, Loss  0.868850, Average Loss  0.867511, Time  0.355865
2021-09-10 07:26:17.068778 : Epoch  9, Batch   1820, Loss  0.843475, Average Loss  0.867498, Time  0.429710
2021-09-10 07:26:18.974761 : Epoch  9, Batch   1821, Loss  0.879739, Average Loss  0.867577, Time  0.450138
2021-09-10 07:26:20.765857 : Epoch  9, Batch   1822, Loss  0.882181, Average Loss  0.867620, Time  0.356322
2021-09-10 07:26:22.565081 : Epoch  9, Batch   1823, Loss  0.843383, Average Loss  0.867559, Time  0.357047
2021-09-10 07:26:24.374704 : Epoch  9, Batch   1824, Loss  0.889782, Average Loss  0.867636, Time  0.369230
2021-09-10 07:26:26.259113 : Epoch  9, Batch   1825, Loss  0.850132, Average Loss  0.867522, Time  0.449229
2021-09-10 07:26:28.030815 : Epoch  9, Batch   1826, Loss  0.838015, Average Loss  0.867296, Time  0.358294
2021-09-10 07:26:29.809910 : Epoch  9, Batch   1827, Loss  0.877605, Average Loss  0.867261, Time  0.354557
2021-09-10 07:26:31.635777 : Epoch  9, Batch   1828, Loss  0.867782, Average Loss  0.867201, Time  0.394665
2021-09-10 07:26:33.534103 : Epoch  9, Batch   1829, Loss  0.885005, Average Loss  0.867284, Time  0.461359
2021-09-10 07:26:35.305441 : Epoch  9, Batch   1830, Loss  0.869894, Average Loss  0.867272, Time  0.357015
2021-09-10 07:26:37.076764 : Epoch  9, Batch   1831, Loss  0.852922, Average Loss  0.867294, Time  0.356165
2021-09-10 07:26:38.900813 : Epoch  9, Batch   1832, Loss  0.869287, Average Loss  0.867282, Time  0.409133
2021-09-10 07:26:40.755780 : Epoch  9, Batch   1833, Loss  0.830708, Average Loss  0.867088, Time  0.425643
2021-09-10 07:26:42.552077 : Epoch  9, Batch   1834, Loss  0.902375, Average Loss  0.867248, Time  0.358383
2021-09-10 07:26:44.334783 : Epoch  9, Batch   1835, Loss  0.868364, Average Loss  0.867276, Time  0.356439
2021-09-10 07:26:46.176093 : Epoch  9, Batch   1836, Loss  0.930837, Average Loss  0.867527, Time  0.423538
2021-09-10 07:26:48.050176 : Epoch  9, Batch   1837, Loss  0.846430, Average Loss  0.867445, Time  0.449568
2021-09-10 07:26:49.825777 : Epoch  9, Batch   1838, Loss  0.860755, Average Loss  0.867390, Time  0.357159
2021-09-10 07:26:51.628900 : Epoch  9, Batch   1839, Loss  0.896121, Average Loss  0.867639, Time  0.356365
2021-09-10 07:26:53.454810 : Epoch  9, Batch   1840, Loss  0.852001, Average Loss  0.867566, Time  0.406451
2021-09-10 07:26:55.348917 : Epoch  9, Batch   1841, Loss  0.853928, Average Loss  0.867545, Time  0.454001
2021-09-10 07:26:57.148777 : Epoch  9, Batch   1842, Loss  0.877776, Average Loss  0.867531, Time  0.365366
2021-09-10 07:26:58.943107 : Epoch  9, Batch   1843, Loss  0.879584, Average Loss  0.867567, Time  0.359187
2021-09-10 07:27:00.753893 : Epoch  9, Batch   1844, Loss  0.879404, Average Loss  0.867551, Time  0.394308
2021-09-10 07:27:02.623513 : Epoch  9, Batch   1845, Loss  0.868061, Average Loss  0.867556, Time  0.464244
2021-09-10 07:27:04.415818 : Epoch  9, Batch   1846, Loss  0.891153, Average Loss  0.867491, Time  0.348865
2021-09-10 07:27:06.236780 : Epoch  9, Batch   1847, Loss  0.868572, Average Loss  0.867344, Time  0.366328
2021-09-10 07:27:08.034220 : Epoch  9, Batch   1848, Loss  0.872136, Average Loss  0.867345, Time  0.371764
2021-09-10 07:27:09.917070 : Epoch  9, Batch   1849, Loss  0.879931, Average Loss  0.867405, Time  0.452204
2021-09-10 07:27:11.709794 : Epoch  9, Batch   1850, Loss  0.871130, Average Loss  0.867452, Time  0.357370
2021-09-10 07:27:13.487760 : Epoch  9, Batch   1851, Loss  0.854473, Average Loss  0.867558, Time  0.357096
2021-09-10 07:27:15.313179 : Epoch  9, Batch   1852, Loss  0.862994, Average Loss  0.867528, Time  0.394774
2021-09-10 07:27:17.212763 : Epoch  9, Batch   1853, Loss  0.859599, Average Loss  0.867452, Time  0.450926
2021-09-10 07:27:18.993809 : Epoch  9, Batch   1854, Loss  0.868689, Average Loss  0.867457, Time  0.348909
2021-09-10 07:27:20.780812 : Epoch  9, Batch   1855, Loss  0.871046, Average Loss  0.867473, Time  0.357141
2021-09-10 07:27:22.559859 : Epoch  9, Batch   1856, Loss  0.864989, Average Loss  0.867626, Time  0.368286
2021-09-10 07:27:24.436919 : Epoch  9, Batch   1857, Loss  0.888564, Average Loss  0.867694, Time  0.449979
2021-09-10 07:27:26.237024 : Epoch  9, Batch   1858, Loss  0.885704, Average Loss  0.868008, Time  0.364609
2021-09-10 07:27:28.036091 : Epoch  9, Batch   1859, Loss  0.874752, Average Loss  0.868103, Time  0.358294
2021-09-10 07:27:29.853830 : Epoch  9, Batch   1860, Loss  0.855071, Average Loss  0.868298, Time  0.375598
2021-09-10 07:27:31.769764 : Epoch  9, Batch   1861, Loss  0.883175, Average Loss  0.868271, Time  0.465291
2021-09-10 07:27:33.557990 : Epoch  9, Batch   1862, Loss  0.882982, Average Loss  0.868344, Time  0.375043
2021-09-10 07:27:35.334769 : Epoch  9, Batch   1863, Loss  0.839684, Average Loss  0.868222, Time  0.357019
2021-09-10 07:27:37.104833 : Epoch  9, Batch   1864, Loss  0.902853, Average Loss  0.868477, Time  0.359277
2021-09-10 07:27:39.001776 : Epoch  9, Batch   1865, Loss  0.877424, Average Loss  0.868656, Time  0.454303
2021-09-10 07:27:40.882086 : Epoch  9, Batch   1866, Loss  0.867959, Average Loss  0.868619, Time  0.445448
2021-09-10 07:27:42.668764 : Epoch  9, Batch   1867, Loss  0.915016, Average Loss  0.868793, Time  0.358158
2021-09-10 07:27:44.466774 : Epoch  9, Batch   1868, Loss  0.856813, Average Loss  0.868712, Time  0.356761
2021-09-10 07:27:46.297848 : Epoch  9, Batch   1869, Loss  0.885649, Average Loss  0.868881, Time  0.397174
2021-09-10 07:27:48.192081 : Epoch  9, Batch   1870, Loss  0.878826, Average Loss  0.868979, Time  0.447899
2021-09-10 07:27:49.962733 : Epoch  9, Batch   1871, Loss  0.859581, Average Loss  0.868852, Time  0.358276
2021-09-10 07:27:51.735519 : Epoch  9, Batch   1872, Loss  0.886430, Average Loss  0.868899, Time  0.361291
2021-09-10 07:27:53.536774 : Epoch  9, Batch   1873, Loss  0.876165, Average Loss  0.868980, Time  0.385020
2021-09-10 07:27:55.434941 : Epoch  9, Batch   1874, Loss  0.868379, Average Loss  0.868773, Time  0.452138
2021-09-10 07:27:57.239820 : Epoch  9, Batch   1875, Loss  0.854044, Average Loss  0.868722, Time  0.356509
2021-09-10 07:27:59.031784 : Epoch  9, Batch   1876, Loss  0.873508, Average Loss  0.868687, Time  0.356711
2021-09-10 07:28:00.828937 : Epoch  9, Batch   1877, Loss  0.862003, Average Loss  0.868688, Time  0.364367
2021-09-10 07:28:02.753220 : Epoch  9, Batch   1878, Loss  0.875002, Average Loss  0.868670, Time  0.461871
2021-09-10 07:28:04.583812 : Epoch  9, Batch   1879, Loss  0.833337, Average Loss  0.868476, Time  0.413818
2021-09-10 07:28:06.366765 : Epoch  9, Batch   1880, Loss  0.867279, Average Loss  0.868477, Time  0.356071
2021-09-10 07:28:08.175766 : Epoch  9, Batch   1881, Loss  0.854755, Average Loss  0.868468, Time  0.355541
2021-09-10 07:28:10.020986 : Epoch  9, Batch   1882, Loss  0.849678, Average Loss  0.868447, Time  0.433957
2021-09-10 07:28:11.875775 : Epoch  9, Batch   1883, Loss  0.890942, Average Loss  0.868515, Time  0.452283
2021-09-10 07:28:13.665815 : Epoch  9, Batch   1884, Loss  0.866422, Average Loss  0.868311, Time  0.372360
2021-09-10 07:28:15.446778 : Epoch  9, Batch   1885, Loss  0.846966, Average Loss  0.868180, Time  0.356685
2021-09-10 07:28:17.288781 : Epoch  9, Batch   1886, Loss  0.839860, Average Loss  0.868105, Time  0.400602
2021-09-10 07:28:19.183826 : Epoch  9, Batch   1887, Loss  0.886934, Average Loss  0.868072, Time  0.450337
2021-09-10 07:28:20.968913 : Epoch  9, Batch   1888, Loss  0.878215, Average Loss  0.868080, Time  0.356331
2021-09-10 07:28:22.759775 : Epoch  9, Batch   1889, Loss  0.890741, Average Loss  0.868109, Time  0.355879
2021-09-10 07:28:24.598872 : Epoch  9, Batch   1890, Loss  0.876865, Average Loss  0.867988, Time  0.397418
2021-09-10 07:28:26.508772 : Epoch  9, Batch   1891, Loss  0.867431, Average Loss  0.867993, Time  0.457598
2021-09-10 07:28:28.283929 : Epoch  9, Batch   1892, Loss  0.883233, Average Loss  0.868024, Time  0.355422
2021-09-10 07:28:30.060812 : Epoch  9, Batch   1893, Loss  0.853066, Average Loss  0.868061, Time  0.368116
2021-09-10 07:28:31.892090 : Epoch  9, Batch   1894, Loss  0.886770, Average Loss  0.868191, Time  0.388763
2021-09-10 07:28:33.800760 : Epoch  9, Batch   1895, Loss  0.875009, Average Loss  0.868209, Time  0.450162
2021-09-10 07:28:35.612887 : Epoch  9, Batch   1896, Loss  0.875039, Average Loss  0.868388, Time  0.350131
2021-09-10 07:28:37.407775 : Epoch  9, Batch   1897, Loss  0.862628, Average Loss  0.868466, Time  0.358400
2021-09-10 07:28:39.214924 : Epoch  9, Batch   1898, Loss  0.845584, Average Loss  0.868499, Time  0.363098
2021-09-10 07:28:41.098758 : Epoch  9, Batch   1899, Loss  0.874917, Average Loss  0.868523, Time  0.458038
2021-09-10 07:28:42.882805 : Epoch  9, Batch   1900, Loss  0.882799, Average Loss  0.868675, Time  0.354990
2021-09-10 07:28:44.684770 : Epoch  9, Batch   1901, Loss  0.876130, Average Loss  0.868773, Time  0.356382
2021-09-10 07:28:46.519110 : Epoch  9, Batch   1902, Loss  0.870806, Average Loss  0.868757, Time  0.389417
2021-09-10 07:28:48.423776 : Epoch  9, Batch   1903, Loss  0.878432, Average Loss  0.868820, Time  0.463320
2021-09-10 07:28:50.256935 : Epoch  9, Batch   1904, Loss  0.850405, Average Loss  0.868682, Time  0.367800
2021-09-10 07:28:52.043760 : Epoch  9, Batch   1905, Loss  0.820596, Average Loss  0.868418, Time  0.359643
2021-09-10 07:28:53.846800 : Epoch  9, Batch   1906, Loss  0.887206, Average Loss  0.868431, Time  0.363024
2021-09-10 07:28:55.758778 : Epoch  9, Batch   1907, Loss  0.845206, Average Loss  0.868432, Time  0.465921
2021-09-10 07:28:57.662778 : Epoch  9, Batch   1908, Loss  0.865321, Average Loss  0.868473, Time  0.447122
2021-09-10 07:28:59.463211 : Epoch  9, Batch   1909, Loss  0.859398, Average Loss  0.868408, Time  0.361302
2021-09-10 07:29:01.252806 : Epoch  9, Batch   1910, Loss  0.846097, Average Loss  0.868289, Time  0.357121
2021-09-10 07:29:03.097096 : Epoch  9, Batch   1911, Loss  0.867035, Average Loss  0.868464, Time  0.422872
2021-09-10 07:29:04.964778 : Epoch  9, Batch   1912, Loss  0.885233, Average Loss  0.868650, Time  0.450776
2021-09-10 07:33:56.266714 : CheckPoint: Validation Loss  0.00059029, Best Loss  0.00056427
2021-09-10 07:33:58.047766 : Epoch  9, Batch   1913, Loss  0.862113, Average Loss  0.868498, Time  0.357604
2021-09-10 07:33:59.893766 : Epoch  9, Batch   1914, Loss  0.883826, Average Loss  0.868516, Time  0.425242
2021-09-10 07:34:01.764908 : Epoch  9, Batch   1915, Loss  0.835554, Average Loss  0.868505, Time  0.468728
2021-09-10 07:34:03.544771 : Epoch  9, Batch   1916, Loss  0.864726, Average Loss  0.868525, Time  0.363650
2021-09-10 07:34:05.332775 : Epoch  9, Batch   1917, Loss  0.867667, Average Loss  0.868464, Time  0.356471
2021-09-10 07:34:07.164771 : Epoch  9, Batch   1918, Loss  0.884667, Average Loss  0.868488, Time  0.392977
2021-09-10 07:34:09.038279 : Epoch  9, Batch   1919, Loss  0.828788, Average Loss  0.868299, Time  0.447400
2021-09-10 07:34:10.806772 : Epoch  9, Batch   1920, Loss  0.854457, Average Loss  0.868333, Time  0.359620
2021-09-10 07:34:12.580769 : Epoch  9, Batch   1921, Loss  0.857960, Average Loss  0.868276, Time  0.360207
2021-09-10 07:34:14.380761 : Epoch  9, Batch   1922, Loss  0.889352, Average Loss  0.868343, Time  0.401459
2021-09-10 07:34:16.246763 : Epoch  9, Batch   1923, Loss  0.864593, Average Loss  0.868440, Time  0.457696
2021-09-10 07:34:18.041947 : Epoch  9, Batch   1924, Loss  0.840112, Average Loss  0.868377, Time  0.355488
2021-09-10 07:34:19.846777 : Epoch  9, Batch   1925, Loss  0.856340, Average Loss  0.868283, Time  0.357622
2021-09-10 07:34:21.650059 : Epoch  9, Batch   1926, Loss  0.903942, Average Loss  0.868384, Time  0.382643
2021-09-10 07:34:23.521759 : Epoch  9, Batch   1927, Loss  0.877924, Average Loss  0.868354, Time  0.452170
2021-09-10 07:34:25.309778 : Epoch  9, Batch   1928, Loss  0.859909, Average Loss  0.868335, Time  0.356945
2021-09-10 07:34:27.095761 : Epoch  9, Batch   1929, Loss  0.866774, Average Loss  0.868271, Time  0.359020
2021-09-10 07:34:28.933783 : Epoch  9, Batch   1930, Loss  0.860220, Average Loss  0.868184, Time  0.368810
2021-09-10 07:34:30.818905 : Epoch  9, Batch   1931, Loss  0.863074, Average Loss  0.868072, Time  0.456800
2021-09-10 07:34:32.580770 : Epoch  9, Batch   1932, Loss  0.861898, Average Loss  0.868229, Time  0.357045
2021-09-10 07:34:34.350938 : Epoch  9, Batch   1933, Loss  0.878250, Average Loss  0.868294, Time  0.356663
2021-09-10 07:34:36.172772 : Epoch  9, Batch   1934, Loss  0.866591, Average Loss  0.868370, Time  0.398577
2021-09-10 07:34:38.051998 : Epoch  9, Batch   1935, Loss  0.845924, Average Loss  0.868393, Time  0.454038
2021-09-10 07:34:39.821786 : Epoch  9, Batch   1936, Loss  0.869826, Average Loss  0.868320, Time  0.362265
2021-09-10 07:34:41.597388 : Epoch  9, Batch   1937, Loss  0.884288, Average Loss  0.868303, Time  0.358021
2021-09-10 07:34:43.403786 : Epoch  9, Batch   1938, Loss  0.902442, Average Loss  0.868341, Time  0.395496
2021-09-10 07:34:45.294896 : Epoch  9, Batch   1939, Loss  0.871289, Average Loss  0.868349, Time  0.466530
2021-09-10 07:34:47.133871 : Epoch  9, Batch   1940, Loss  0.878326, Average Loss  0.868303, Time  0.383149
2021-09-10 07:34:48.941115 : Epoch  9, Batch   1941, Loss  0.862854, Average Loss  0.868297, Time  0.368574
2021-09-10 07:34:50.754220 : Epoch  9, Batch   1942, Loss  0.833293, Average Loss  0.868059, Time  0.402469
2021-09-10 07:34:52.621778 : Epoch  9, Batch   1943, Loss  0.879914, Average Loss  0.868322, Time  0.463555
2021-09-10 07:34:54.407778 : Epoch  9, Batch   1944, Loss  0.889396, Average Loss  0.868486, Time  0.356203
2021-09-10 07:34:56.188762 : Epoch  9, Batch   1945, Loss  0.910449, Average Loss  0.868599, Time  0.363718
2021-09-10 07:34:58.027775 : Epoch  9, Batch   1946, Loss  0.863343, Average Loss  0.868660, Time  0.373274
2021-09-10 07:34:59.906129 : Epoch  9, Batch   1947, Loss  0.862194, Average Loss  0.868787, Time  0.458450
2021-09-10 07:35:01.723776 : Epoch  9, Batch   1948, Loss  0.861985, Average Loss  0.868649, Time  0.415458
2021-09-10 07:35:03.492776 : Epoch  9, Batch   1949, Loss  0.884977, Average Loss  0.868749, Time  0.364505
2021-09-10 07:35:05.287776 : Epoch  9, Batch   1950, Loss  0.888504, Average Loss  0.869022, Time  0.357738
2021-09-10 07:35:07.176761 : Epoch  9, Batch   1951, Loss  0.885847, Average Loss  0.869031, Time  0.456536
2021-09-10 07:35:09.062765 : Epoch  9, Batch   1952, Loss  0.874949, Average Loss  0.869172, Time  0.453466
2021-09-10 07:35:10.844876 : Epoch  9, Batch   1953, Loss  0.884499, Average Loss  0.869176, Time  0.358013
2021-09-10 07:35:12.615768 : Epoch  9, Batch   1954, Loss  0.859288, Average Loss  0.869136, Time  0.364080
2021-09-10 07:35:14.401446 : Epoch  9, Batch   1955, Loss  0.875987, Average Loss  0.869141, Time  0.386754
2021-09-10 07:35:16.270816 : Epoch  9, Batch   1956, Loss  0.895737, Average Loss  0.869251, Time  0.457673
2021-09-10 07:35:18.051044 : Epoch  9, Batch   1957, Loss  0.839783, Average Loss  0.868969, Time  0.365221
2021-09-10 07:35:19.841916 : Epoch  9, Batch   1958, Loss  0.864332, Average Loss  0.868978, Time  0.363500
2021-09-10 07:35:21.652951 : Epoch  9, Batch   1959, Loss  0.876063, Average Loss  0.868922, Time  0.382263
2021-09-10 07:35:23.523522 : Epoch  9, Batch   1960, Loss  0.857008, Average Loss  0.869014, Time  0.452333
2021-09-10 07:35:25.311796 : Epoch  9, Batch   1961, Loss  0.887045, Average Loss  0.868990, Time  0.359401
2021-09-10 07:35:27.117031 : Epoch  9, Batch   1962, Loss  0.884749, Average Loss  0.868927, Time  0.379569
2021-09-10 07:35:28.923240 : Epoch  9, Batch   1963, Loss  0.878725, Average Loss  0.868940, Time  0.372616
2021-09-10 07:35:30.797812 : Epoch  9, Batch   1964, Loss  0.831392, Average Loss  0.868662, Time  0.464793
2021-09-10 07:35:32.577775 : Epoch  9, Batch   1965, Loss  0.886257, Average Loss  0.868751, Time  0.357451
2021-09-10 07:35:34.340013 : Epoch  9, Batch   1966, Loss  0.894874, Average Loss  0.868737, Time  0.360080
2021-09-10 07:35:36.136910 : Epoch  9, Batch   1967, Loss  0.893960, Average Loss  0.868976, Time  0.400556
2021-09-10 07:35:38.031765 : Epoch  9, Batch   1968, Loss  0.867317, Average Loss  0.868810, Time  0.451566
2021-09-10 07:35:39.808777 : Epoch  9, Batch   1969, Loss  0.832773, Average Loss  0.868608, Time  0.356500
2021-09-10 07:35:41.587103 : Epoch  9, Batch   1970, Loss  0.866492, Average Loss  0.868589, Time  0.356875
2021-09-10 07:35:43.401089 : Epoch  9, Batch   1971, Loss  0.876361, Average Loss  0.868682, Time  0.371524
2021-09-10 07:35:45.289178 : Epoch  9, Batch   1972, Loss  0.891202, Average Loss  0.868774, Time  0.449798
2021-09-10 07:35:47.084200 : Epoch  9, Batch   1973, Loss  0.824360, Average Loss  0.868507, Time  0.351641
2021-09-10 07:35:48.872812 : Epoch  9, Batch   1974, Loss  0.872049, Average Loss  0.868454, Time  0.355315
2021-09-10 07:35:50.687209 : Epoch  9, Batch   1975, Loss  0.893625, Average Loss  0.868558, Time  0.356437
2021-09-10 07:35:52.565230 : Epoch  9, Batch   1976, Loss  0.866966, Average Loss  0.868648, Time  0.458636
2021-09-10 07:35:54.330874 : Epoch  9, Batch   1977, Loss  0.866650, Average Loss  0.868597, Time  0.363673
2021-09-10 07:35:56.096946 : Epoch  9, Batch   1978, Loss  0.848236, Average Loss  0.868605, Time  0.355527
2021-09-10 07:35:57.888891 : Epoch  9, Batch   1979, Loss  0.854798, Average Loss  0.868637, Time  0.391775
2021-09-10 07:35:59.782062 : Epoch  9, Batch   1980, Loss  0.900975, Average Loss  0.868839, Time  0.451965
2021-09-10 07:36:01.553904 : Epoch  9, Batch   1981, Loss  0.883738, Average Loss  0.869014, Time  0.348355
2021-09-10 07:36:03.321780 : Epoch  9, Batch   1982, Loss  0.846402, Average Loss  0.868873, Time  0.358819
2021-09-10 07:36:05.116847 : Epoch  9, Batch   1983, Loss  0.882880, Average Loss  0.868952, Time  0.372714
2021-09-10 07:36:06.982977 : Epoch  9, Batch   1984, Loss  0.860749, Average Loss  0.868961, Time  0.453556
2021-09-10 07:36:08.764086 : Epoch  9, Batch   1985, Loss  0.866904, Average Loss  0.869004, Time  0.371506
2021-09-10 07:36:10.546050 : Epoch  9, Batch   1986, Loss  0.864353, Average Loss  0.868989, Time  0.364408
2021-09-10 07:36:12.372771 : Epoch  9, Batch   1987, Loss  0.865491, Average Loss  0.868931, Time  0.391015
2021-09-10 07:36:14.231766 : Epoch  9, Batch   1988, Loss  0.850559, Average Loss  0.868745, Time  0.452437
2021-09-10 07:36:16.001763 : Epoch  9, Batch   1989, Loss  0.860307, Average Loss  0.868652, Time  0.356735
2021-09-10 07:36:17.767536 : Epoch  9, Batch   1990, Loss  0.864934, Average Loss  0.868593, Time  0.359439
2021-09-10 07:36:19.570514 : Epoch  9, Batch   1991, Loss  0.848725, Average Loss  0.868453, Time  0.392642
2021-09-10 07:36:21.439785 : Epoch  9, Batch   1992, Loss  0.868510, Average Loss  0.868411, Time  0.450419
2021-09-10 07:36:23.216177 : Epoch  9, Batch   1993, Loss  0.871722, Average Loss  0.868304, Time  0.357809
2021-09-10 07:36:24.994777 : Epoch  9, Batch   1994, Loss  0.862663, Average Loss  0.868333, Time  0.368907
2021-09-10 07:36:26.828238 : Epoch  9, Batch   1995, Loss  0.873352, Average Loss  0.868423, Time  0.398606
2021-09-10 07:36:28.705233 : Epoch  9, Batch   1996, Loss  0.910694, Average Loss  0.868555, Time  0.466198
2021-09-10 07:36:30.483106 : Epoch  9, Batch   1997, Loss  0.861848, Average Loss  0.868480, Time  0.361192
2021-09-10 07:36:32.259299 : Epoch  9, Batch   1998, Loss  0.845237, Average Loss  0.868423, Time  0.364334
2021-09-10 07:36:34.103832 : Epoch  9, Batch   1999, Loss  0.894531, Average Loss  0.868596, Time  0.417417
2021-09-10 07:36:35.965258 : Epoch  9, Batch   2000, Loss  0.887113, Average Loss  0.868656, Time  0.459549
2021-09-10 07:36:37.731778 : Epoch  9, Batch   2001, Loss  0.884074, Average Loss  0.868811, Time  0.356442
2021-09-10 07:36:39.505748 : Epoch  9, Batch   2002, Loss  0.889832, Average Loss  0.868974, Time  0.356073
2021-09-10 07:36:41.318777 : Epoch  9, Batch   2003, Loss  0.867926, Average Loss  0.869033, Time  0.400730
2021-09-10 07:36:43.215860 : Epoch  9, Batch   2004, Loss  0.863657, Average Loss  0.869178, Time  0.450356
2021-09-10 07:36:44.988095 : Epoch  9, Batch   2005, Loss  0.872294, Average Loss  0.869181, Time  0.356696
2021-09-10 07:36:46.754800 : Epoch  9, Batch   2006, Loss  0.884035, Average Loss  0.869317, Time  0.355781
2021-09-10 07:36:48.573762 : Epoch  9, Batch   2007, Loss  0.888254, Average Loss  0.869351, Time  0.397862
2021-09-10 07:36:50.475819 : Epoch  9, Batch   2008, Loss  0.864286, Average Loss  0.869330, Time  0.463844
2021-09-10 07:36:52.243517 : Epoch  9, Batch   2009, Loss  0.883564, Average Loss  0.869466, Time  0.353269
2021-09-10 07:36:54.025763 : Epoch  9, Batch   2010, Loss  0.859819, Average Loss  0.869417, Time  0.370846
2021-09-10 07:36:55.800550 : Epoch  9, Batch   2011, Loss  0.864762, Average Loss  0.869436, Time  0.370824
2021-09-10 07:36:57.678834 : Epoch  9, Batch   2012, Loss  0.876293, Average Loss  0.869560, Time  0.454415
2021-09-10 07:41:49.200738 : CheckPoint: Validation Loss  0.00062324, Best Loss  0.00056427
2021-09-10 07:41:51.055901 : Epoch  9, Batch   2013, Loss  0.940391, Average Loss  0.869944, Time  0.411316
2021-09-10 07:41:52.950775 : Epoch  9, Batch   2014, Loss  0.849600, Average Loss  0.869764, Time  0.468505
2021-09-10 07:41:54.736796 : Epoch  9, Batch   2015, Loss  0.822412, Average Loss  0.869508, Time  0.349717
2021-09-10 07:41:56.504104 : Epoch  9, Batch   2016, Loss  0.914247, Average Loss  0.869854, Time  0.359756
2021-09-10 07:41:58.301826 : Epoch  9, Batch   2017, Loss  0.861910, Average Loss  0.869893, Time  0.378581
2021-09-10 07:42:00.167776 : Epoch  9, Batch   2018, Loss  0.883072, Average Loss  0.870051, Time  0.454797
2021-09-10 07:42:01.956836 : Epoch  9, Batch   2019, Loss  0.871096, Average Loss  0.870062, Time  0.356223
2021-09-10 07:42:03.741104 : Epoch  9, Batch   2020, Loss  0.884355, Average Loss  0.870267, Time  0.359161
2021-09-10 07:42:05.567103 : Epoch  9, Batch   2021, Loss  0.873510, Average Loss  0.870236, Time  0.402117
2021-09-10 07:42:07.451773 : Epoch  9, Batch   2022, Loss  0.870221, Average Loss  0.870176, Time  0.454932
2021-09-10 07:42:09.228771 : Epoch  9, Batch   2023, Loss  0.843500, Average Loss  0.870176, Time  0.357701
2021-09-10 07:42:11.020778 : Epoch  9, Batch   2024, Loss  0.888457, Average Loss  0.870170, Time  0.369781
2021-09-10 07:42:12.819189 : Epoch  9, Batch   2025, Loss  0.878176, Average Loss  0.870310, Time  0.378900
2021-09-10 07:42:14.679895 : Epoch  9, Batch   2026, Loss  0.906572, Average Loss  0.870653, Time  0.456721
2021-09-10 07:42:16.461114 : Epoch  9, Batch   2027, Loss  0.838406, Average Loss  0.870457, Time  0.368052
2021-09-10 07:42:18.268774 : Epoch  9, Batch   2028, Loss  0.859310, Average Loss  0.870414, Time  0.358695
2021-09-10 07:42:20.078095 : Epoch  9, Batch   2029, Loss  0.869264, Average Loss  0.870336, Time  0.383950
2021-09-10 07:42:21.964776 : Epoch  9, Batch   2030, Loss  0.896140, Average Loss  0.870467, Time  0.462001
2021-09-10 07:42:23.742090 : Epoch  9, Batch   2031, Loss  0.871344, Average Loss  0.870559, Time  0.354919
2021-09-10 07:42:25.540773 : Epoch  9, Batch   2032, Loss  0.859902, Average Loss  0.870512, Time  0.359123
2021-09-10 07:42:27.384764 : Epoch  9, Batch   2033, Loss  0.852922, Average Loss  0.870623, Time  0.370206
2021-09-10 07:42:29.276773 : Epoch  9, Batch   2034, Loss  0.846252, Average Loss  0.870342, Time  0.462520
2021-09-10 07:42:31.032108 : Epoch  9, Batch   2035, Loss  0.865782, Average Loss  0.870330, Time  0.338125
2021-09-10 07:42:32.828773 : Epoch  9, Batch   2036, Loss  0.893283, Average Loss  0.870142, Time  0.363460
2021-09-10 07:42:34.618114 : Epoch  9, Batch   2037, Loss  0.857778, Average Loss  0.870199, Time  0.362868
2021-09-10 07:42:36.527933 : Epoch  9, Batch   2038, Loss  0.824878, Average Loss  0.870019, Time  0.456460
2021-09-10 07:42:38.400117 : Epoch  9, Batch   2039, Loss  0.878903, Average Loss  0.869933, Time  0.424741
2021-09-10 07:42:40.217763 : Epoch  9, Batch   2040, Loss  0.898222, Average Loss  0.870164, Time  0.360796
2021-09-10 07:42:42.012761 : Epoch  9, Batch   2041, Loss  0.847774, Average Loss  0.870133, Time  0.357812
2021-09-10 07:42:43.854820 : Epoch  9, Batch   2042, Loss  0.876532, Average Loss  0.870127, Time  0.420352
2021-09-10 07:42:45.719775 : Epoch  9, Batch   2043, Loss  0.865856, Average Loss  0.870059, Time  0.451486
2021-09-10 07:42:47.522825 : Epoch  9, Batch   2044, Loss  0.881862, Average Loss  0.870071, Time  0.356857
2021-09-10 07:42:49.379262 : Epoch  9, Batch   2045, Loss  0.888766, Average Loss  0.870174, Time  0.370815
2021-09-10 07:42:51.170785 : Epoch  9, Batch   2046, Loss  0.869920, Average Loss  0.870068, Time  0.355597
2021-09-10 07:42:53.058101 : Epoch  9, Batch   2047, Loss  0.875419, Average Loss  0.870102, Time  0.461593
2021-09-10 07:42:54.839840 : Epoch  9, Batch   2048, Loss  0.841717, Average Loss  0.869950, Time  0.334265
2021-09-10 07:42:56.627776 : Epoch  9, Batch   2049, Loss  0.868689, Average Loss  0.869894, Time  0.365064
2021-09-10 07:42:58.390263 : Epoch  9, Batch   2050, Loss  0.877325, Average Loss  0.869925, Time  0.363774
2021-09-10 07:43:00.264103 : Epoch  9, Batch   2051, Loss  0.850276, Average Loss  0.869904, Time  0.451762
2021-09-10 07:43:02.049105 : Epoch  9, Batch   2052, Loss  0.904217, Average Loss  0.870110, Time  0.356493
2021-09-10 07:43:03.830886 : Epoch  9, Batch   2053, Loss  0.896392, Average Loss  0.870294, Time  0.368971
2021-09-10 07:43:05.620776 : Epoch  9, Batch   2054, Loss  0.834189, Average Loss  0.870122, Time  0.375175
2021-09-10 07:43:07.499779 : Epoch  9, Batch   2055, Loss  0.846275, Average Loss  0.869998, Time  0.467710
2021-09-10 07:43:09.259938 : Epoch  9, Batch   2056, Loss  0.846931, Average Loss  0.869908, Time  0.357559
2021-09-10 07:43:11.022645 : Epoch  9, Batch   2057, Loss  0.869948, Average Loss  0.869814, Time  0.364027
2021-09-10 07:43:12.841099 : Epoch  9, Batch   2058, Loss  0.837594, Average Loss  0.869574, Time  0.397663
2021-09-10 07:43:14.726780 : Epoch  9, Batch   2059, Loss  0.859539, Average Loss  0.869498, Time  0.455073
2021-09-10 07:43:16.515866 : Epoch  9, Batch   2060, Loss  0.842603, Average Loss  0.869436, Time  0.356123
2021-09-10 07:43:18.282994 : Epoch  9, Batch   2061, Loss  0.832185, Average Loss  0.869181, Time  0.359294
2021-09-10 07:43:20.071772 : Epoch  9, Batch   2062, Loss  0.850648, Average Loss  0.869019, Time  0.379192
2021-09-10 07:43:21.959104 : Epoch  9, Batch   2063, Loss  0.883734, Average Loss  0.869239, Time  0.451604
2021-09-10 07:43:23.753771 : Epoch  9, Batch   2064, Loss  0.880878, Average Loss  0.869129, Time  0.372579
2021-09-10 07:43:25.564384 : Epoch  9, Batch   2065, Loss  0.862457, Average Loss  0.869054, Time  0.358553
2021-09-10 07:43:27.337774 : Epoch  9, Batch   2066, Loss  0.862832, Average Loss  0.869029, Time  0.362337
2021-09-10 07:43:29.215878 : Epoch  9, Batch   2067, Loss  0.881683, Average Loss  0.868862, Time  0.458622
2021-09-10 07:43:30.996930 : Epoch  9, Batch   2068, Loss  0.878470, Average Loss  0.868970, Time  0.359245
2021-09-10 07:43:32.804225 : Epoch  9, Batch   2069, Loss  0.879443, Average Loss  0.868939, Time  0.356001
2021-09-10 07:43:34.605776 : Epoch  9, Batch   2070, Loss  0.875925, Average Loss  0.868925, Time  0.372129
2021-09-10 07:43:36.494105 : Epoch  9, Batch   2071, Loss  0.842381, Average Loss  0.868839, Time  0.471889
2021-09-10 07:43:38.290122 : Epoch  9, Batch   2072, Loss  0.849139, Average Loss  0.868652, Time  0.350063
2021-09-10 07:43:40.096006 : Epoch  9, Batch   2073, Loss  0.858378, Average Loss  0.868563, Time  0.371647
2021-09-10 07:43:41.856678 : Epoch  9, Batch   2074, Loss  0.824492, Average Loss  0.868344, Time  0.358122
2021-09-10 07:43:43.737778 : Epoch  9, Batch   2075, Loss  0.861580, Average Loss  0.868382, Time  0.457509
2021-09-10 07:43:45.524235 : Epoch  9, Batch   2076, Loss  0.881994, Average Loss  0.868424, Time  0.364188
2021-09-10 07:43:47.317770 : Epoch  9, Batch   2077, Loss  0.852786, Average Loss  0.868378, Time  0.356634
2021-09-10 07:43:49.106891 : Epoch  9, Batch   2078, Loss  0.879655, Average Loss  0.868401, Time  0.375908
2021-09-10 07:43:51.041774 : Epoch  9, Batch   2079, Loss  0.840534, Average Loss  0.868437, Time  0.454532
2021-09-10 07:43:52.910784 : Epoch  9, Batch   2080, Loss  0.870937, Average Loss  0.868456, Time  0.428552
2021-09-10 07:43:54.722896 : Epoch  9, Batch   2081, Loss  0.845501, Average Loss  0.868409, Time  0.397773
2021-09-10 07:43:56.490764 : Epoch  9, Batch   2082, Loss  0.869375, Average Loss  0.868508, Time  0.357281
2021-09-10 07:43:58.346098 : Epoch  9, Batch   2083, Loss  0.886006, Average Loss  0.868483, Time  0.422257
2021-09-10 07:44:00.217821 : Epoch  9, Batch   2084, Loss  0.894629, Average Loss  0.868624, Time  0.452910
2021-09-10 07:44:01.982113 : Epoch  9, Batch   2085, Loss  0.844233, Average Loss  0.868611, Time  0.360034
2021-09-10 07:44:03.757778 : Epoch  9, Batch   2086, Loss  0.891429, Average Loss  0.868868, Time  0.356456
2021-09-10 07:44:05.564598 : Epoch  9, Batch   2087, Loss  0.875762, Average Loss  0.868813, Time  0.405661
2021-09-10 07:44:07.470764 : Epoch  9, Batch   2088, Loss  0.872188, Average Loss  0.868782, Time  0.458773
2021-09-10 07:44:09.277950 : Epoch  9, Batch   2089, Loss  0.870683, Average Loss  0.868682, Time  0.369212
2021-09-10 07:44:11.076775 : Epoch  9, Batch   2090, Loss  0.901051, Average Loss  0.868803, Time  0.357353
2021-09-10 07:44:12.876772 : Epoch  9, Batch   2091, Loss  0.857998, Average Loss  0.868756, Time  0.370224
2021-09-10 07:44:14.764769 : Epoch  9, Batch   2092, Loss  0.887390, Average Loss  0.868777, Time  0.457168
2021-09-10 07:44:16.531813 : Epoch  9, Batch   2093, Loss  0.865978, Average Loss  0.868841, Time  0.354556
2021-09-10 07:44:18.328003 : Epoch  9, Batch   2094, Loss  0.880631, Average Loss  0.868810, Time  0.358635
2021-09-10 07:44:20.143776 : Epoch  9, Batch   2095, Loss  0.877035, Average Loss  0.868821, Time  0.380168
2021-09-10 07:44:22.008774 : Epoch  9, Batch   2096, Loss  0.857823, Average Loss  0.868735, Time  0.457574
2021-09-10 07:44:23.785446 : Epoch  9, Batch   2097, Loss  0.842338, Average Loss  0.868633, Time  0.358089
2021-09-10 07:44:25.586850 : Epoch  9, Batch   2098, Loss  0.860106, Average Loss  0.868706, Time  0.365101
2021-09-10 07:44:27.375776 : Epoch  9, Batch   2099, Loss  0.912223, Average Loss  0.868892, Time  0.370993
2021-09-10 07:44:29.254417 : Epoch  9, Batch   2100, Loss  0.858839, Average Loss  0.868772, Time  0.454936
2021-09-10 07:44:31.056776 : Epoch  9, Batch   2101, Loss  0.849155, Average Loss  0.868638, Time  0.357826
2021-09-10 07:44:32.866776 : Epoch  9, Batch   2102, Loss  0.875086, Average Loss  0.868659, Time  0.360084
2021-09-10 07:44:34.673781 : Epoch  9, Batch   2103, Loss  0.854765, Average Loss  0.868541, Time  0.362275
2021-09-10 07:44:36.560780 : Epoch  9, Batch   2104, Loss  0.804278, Average Loss  0.868310, Time  0.458229
2021-09-10 07:44:38.346776 : Epoch  9, Batch   2105, Loss  0.882500, Average Loss  0.868620, Time  0.344891
2021-09-10 07:44:40.133777 : Epoch  9, Batch   2106, Loss  0.856411, Average Loss  0.868466, Time  0.356749
2021-09-10 07:44:41.934781 : Epoch  9, Batch   2107, Loss  0.862462, Average Loss  0.868552, Time  0.357191
2021-09-10 07:44:43.830793 : Epoch  9, Batch   2108, Loss  0.867709, Average Loss  0.868564, Time  0.459105
2021-09-10 07:44:45.699779 : Epoch  9, Batch   2109, Loss  0.882999, Average Loss  0.868682, Time  0.449772
2021-09-10 07:44:47.506603 : Epoch  9, Batch   2110, Loss  0.865786, Average Loss  0.868780, Time  0.363040
2021-09-10 07:44:49.295220 : Epoch  9, Batch   2111, Loss  0.878588, Average Loss  0.868838, Time  0.361337
2021-09-10 07:44:51.154774 : Epoch  9, Batch   2112, Loss  0.898338, Average Loss  0.868904, Time  0.417555
2021-09-10 07:49:42.836707 : CheckPoint: Validation Loss  0.00061146, Best Loss  0.00056427
2021-09-10 07:49:44.670820 : Epoch  9, Batch   2113, Loss  0.879036, Average Loss  0.868988, Time  0.356745
2021-09-10 07:49:46.501773 : Epoch  9, Batch   2114, Loss  0.877998, Average Loss  0.868959, Time  0.386033
2021-09-10 07:49:48.379091 : Epoch  9, Batch   2115, Loss  0.842585, Average Loss  0.868994, Time  0.464483
2021-09-10 07:49:50.162928 : Epoch  9, Batch   2116, Loss  0.863085, Average Loss  0.868986, Time  0.360605
2021-09-10 07:49:51.950769 : Epoch  9, Batch   2117, Loss  0.878792, Average Loss  0.869042, Time  0.363254
2021-09-10 07:49:53.745058 : Epoch  9, Batch   2118, Loss  0.865757, Average Loss  0.868947, Time  0.395779
2021-09-10 07:49:55.611014 : Epoch  9, Batch   2119, Loss  0.880367, Average Loss  0.869205, Time  0.461030
2021-09-10 07:49:57.411110 : Epoch  9, Batch   2120, Loss  0.882532, Average Loss  0.869345, Time  0.384361
2021-09-10 07:49:59.174768 : Epoch  9, Batch   2121, Loss  0.890375, Average Loss  0.869507, Time  0.356145
2021-09-10 07:50:01.003112 : Epoch  9, Batch   2122, Loss  0.883513, Average Loss  0.869478, Time  0.379985
2021-09-10 07:50:02.907766 : Epoch  9, Batch   2123, Loss  0.865445, Average Loss  0.869482, Time  0.453194
2021-09-10 07:50:04.679765 : Epoch  9, Batch   2124, Loss  0.869693, Average Loss  0.869630, Time  0.359093
2021-09-10 07:50:06.467232 : Epoch  9, Batch   2125, Loss  0.861135, Average Loss  0.869654, Time  0.361541
2021-09-10 07:50:08.253099 : Epoch  9, Batch   2126, Loss  0.924160, Average Loss  0.869755, Time  0.373787
2021-09-10 07:50:10.126767 : Epoch  9, Batch   2127, Loss  0.869806, Average Loss  0.869715, Time  0.453043
2021-09-10 07:50:11.892207 : Epoch  9, Batch   2128, Loss  0.861318, Average Loss  0.869722, Time  0.355976
2021-09-10 07:50:13.668504 : Epoch  9, Batch   2129, Loss  0.825407, Average Loss  0.869515, Time  0.360182
2021-09-10 07:50:15.473902 : Epoch  9, Batch   2130, Loss  0.850639, Average Loss  0.869467, Time  0.389839
2021-09-10 07:50:17.355773 : Epoch  9, Batch   2131, Loss  0.875698, Average Loss  0.869530, Time  0.446174
2021-09-10 07:50:19.152310 : Epoch  9, Batch   2132, Loss  0.865531, Average Loss  0.869548, Time  0.362324
2021-09-10 07:50:20.936142 : Epoch  9, Batch   2133, Loss  0.852736, Average Loss  0.869421, Time  0.365589
2021-09-10 07:50:22.754762 : Epoch  9, Batch   2134, Loss  0.889037, Average Loss  0.869533, Time  0.380571
2021-09-10 07:50:24.653857 : Epoch  9, Batch   2135, Loss  0.862321, Average Loss  0.869615, Time  0.463691
2021-09-10 07:50:26.424772 : Epoch  9, Batch   2136, Loss  0.839954, Average Loss  0.869466, Time  0.347855
2021-09-10 07:50:28.199774 : Epoch  9, Batch   2137, Loss  0.885140, Average Loss  0.869470, Time  0.356060
2021-09-10 07:50:29.977111 : Epoch  9, Batch   2138, Loss  0.849627, Average Loss  0.869206, Time  0.366080
2021-09-10 07:50:31.863835 : Epoch  9, Batch   2139, Loss  0.910989, Average Loss  0.869404, Time  0.457116
2021-09-10 07:50:33.641288 : Epoch  9, Batch   2140, Loss  0.883608, Average Loss  0.869431, Time  0.350781
2021-09-10 07:50:35.411945 : Epoch  9, Batch   2141, Loss  0.855916, Average Loss  0.869396, Time  0.365016
2021-09-10 07:50:37.222779 : Epoch  9, Batch   2142, Loss  0.860429, Average Loss  0.869532, Time  0.390200
2021-09-10 07:50:39.084801 : Epoch  9, Batch   2143, Loss  0.869279, Average Loss  0.869479, Time  0.458822
2021-09-10 07:50:40.873777 : Epoch  9, Batch   2144, Loss  0.840709, Average Loss  0.869235, Time  0.359385
2021-09-10 07:50:42.660993 : Epoch  9, Batch   2145, Loss  0.848600, Average Loss  0.868926, Time  0.357720
2021-09-10 07:50:44.507982 : Epoch  9, Batch   2146, Loss  0.883434, Average Loss  0.869026, Time  0.375096
2021-09-10 07:50:46.404873 : Epoch  9, Batch   2147, Loss  0.869576, Average Loss  0.869063, Time  0.451572
2021-09-10 07:50:48.248777 : Epoch  9, Batch   2148, Loss  0.870696, Average Loss  0.869107, Time  0.420265
2021-09-10 07:50:50.029104 : Epoch  9, Batch   2149, Loss  0.880259, Average Loss  0.869083, Time  0.370351
2021-09-10 07:50:51.792099 : Epoch  9, Batch   2150, Loss  0.849082, Average Loss  0.868886, Time  0.364316
2021-09-10 07:50:53.660833 : Epoch  9, Batch   2151, Loss  0.865620, Average Loss  0.868785, Time  0.442526
2021-09-10 07:50:55.550776 : Epoch  9, Batch   2152, Loss  0.896978, Average Loss  0.868895, Time  0.459594
2021-09-10 07:50:57.340001 : Epoch  9, Batch   2153, Loss  0.843018, Average Loss  0.868688, Time  0.361869
2021-09-10 07:50:59.124773 : Epoch  9, Batch   2154, Loss  0.892412, Average Loss  0.868853, Time  0.362277
2021-09-10 07:51:00.946780 : Epoch  9, Batch   2155, Loss  0.910932, Average Loss  0.869028, Time  0.387442
2021-09-10 07:51:02.855106 : Epoch  9, Batch   2156, Loss  0.875001, Average Loss  0.868924, Time  0.458250
2021-09-10 07:51:04.634837 : Epoch  9, Batch   2157, Loss  0.887587, Average Loss  0.869163, Time  0.357015
2021-09-10 07:51:06.424858 : Epoch  9, Batch   2158, Loss  0.864902, Average Loss  0.869166, Time  0.364774
2021-09-10 07:51:08.210825 : Epoch  9, Batch   2159, Loss  0.860025, Average Loss  0.869086, Time  0.373550
2021-09-10 07:51:10.103765 : Epoch  9, Batch   2160, Loss  0.869827, Average Loss  0.869150, Time  0.456523
2021-09-10 07:51:11.892963 : Epoch  9, Batch   2161, Loss  0.865073, Average Loss  0.869040, Time  0.352764
2021-09-10 07:51:13.672781 : Epoch  9, Batch   2162, Loss  0.885258, Average Loss  0.869043, Time  0.359628
2021-09-10 07:51:15.461705 : Epoch  9, Batch   2163, Loss  0.865184, Average Loss  0.868975, Time  0.366145
2021-09-10 07:51:17.330817 : Epoch  9, Batch   2164, Loss  0.866586, Average Loss  0.869151, Time  0.453425
2021-09-10 07:51:19.116781 : Epoch  9, Batch   2165, Loss  0.885878, Average Loss  0.869149, Time  0.361965
2021-09-10 07:51:20.890776 : Epoch  9, Batch   2166, Loss  0.836747, Average Loss  0.868859, Time  0.360963
2021-09-10 07:51:22.701010 : Epoch  9, Batch   2167, Loss  0.883660, Average Loss  0.868807, Time  0.388232
2021-09-10 07:51:24.560138 : Epoch  9, Batch   2168, Loss  0.855815, Average Loss  0.868750, Time  0.453421
2021-09-10 07:51:26.337960 : Epoch  9, Batch   2169, Loss  0.856392, Average Loss  0.868868, Time  0.362420
2021-09-10 07:51:28.097885 : Epoch  9, Batch   2170, Loss  0.858466, Average Loss  0.868828, Time  0.356529
2021-09-10 07:51:29.906771 : Epoch  9, Batch   2171, Loss  0.906241, Average Loss  0.868977, Time  0.389158
2021-09-10 07:51:31.769972 : Epoch  9, Batch   2172, Loss  0.857039, Average Loss  0.868806, Time  0.454963
2021-09-10 07:51:33.556773 : Epoch  9, Batch   2173, Loss  0.860062, Average Loss  0.868985, Time  0.369494
2021-09-10 07:51:35.355915 : Epoch  9, Batch   2174, Loss  0.872223, Average Loss  0.868985, Time  0.374163
2021-09-10 07:51:37.164777 : Epoch  9, Batch   2175, Loss  0.826972, Average Loss  0.868652, Time  0.380757
2021-09-10 07:51:39.047916 : Epoch  9, Batch   2176, Loss  0.890860, Average Loss  0.868772, Time  0.451872
2021-09-10 07:51:40.827763 : Epoch  9, Batch   2177, Loss  0.890904, Average Loss  0.868893, Time  0.358982
2021-09-10 07:51:42.602994 : Epoch  9, Batch   2178, Loss  0.836596, Average Loss  0.868835, Time  0.361787
2021-09-10 07:51:44.403772 : Epoch  9, Batch   2179, Loss  0.857772, Average Loss  0.868850, Time  0.378226
2021-09-10 07:51:46.312893 : Epoch  9, Batch   2180, Loss  0.869576, Average Loss  0.868693, Time  0.451867
2021-09-10 07:51:48.092131 : Epoch  9, Batch   2181, Loss  0.845134, Average Loss  0.868500, Time  0.352110
2021-09-10 07:51:49.869107 : Epoch  9, Batch   2182, Loss  0.867590, Average Loss  0.868606, Time  0.357381
2021-09-10 07:51:51.660235 : Epoch  9, Batch   2183, Loss  0.842897, Average Loss  0.868406, Time  0.360122
2021-09-10 07:51:53.540092 : Epoch  9, Batch   2184, Loss  0.835312, Average Loss  0.868278, Time  0.452695
2021-09-10 07:51:55.361090 : Epoch  9, Batch   2185, Loss  0.880049, Average Loss  0.868344, Time  0.383367
2021-09-10 07:51:57.191092 : Epoch  9, Batch   2186, Loss  0.886258, Average Loss  0.868454, Time  0.362345
2021-09-10 07:51:58.987774 : Epoch  9, Batch   2187, Loss  0.881509, Average Loss  0.868534, Time  0.362648
2021-09-10 07:52:00.851813 : Epoch  9, Batch   2188, Loss  0.881647, Average Loss  0.868689, Time  0.450726
2021-09-10 07:52:02.747771 : Epoch  9, Batch   2189, Loss  0.878791, Average Loss  0.868782, Time  0.463908
2021-09-10 07:52:04.533238 : Epoch  9, Batch   2190, Loss  0.885556, Average Loss  0.868885, Time  0.358417
2021-09-10 07:52:06.305110 : Epoch  9, Batch   2191, Loss  0.899429, Average Loss  0.869138, Time  0.363545
2021-09-10 07:52:08.115172 : Epoch  9, Batch   2192, Loss  0.879239, Average Loss  0.869192, Time  0.391371
2021-09-10 07:52:10.012166 : Epoch  9, Batch   2193, Loss  0.864338, Average Loss  0.869155, Time  0.453624
2021-09-10 07:52:11.794775 : Epoch  9, Batch   2194, Loss  0.875121, Average Loss  0.869217, Time  0.336307
2021-09-10 07:52:13.603905 : Epoch  9, Batch   2195, Loss  0.856853, Average Loss  0.869135, Time  0.356922
2021-09-10 07:52:15.407773 : Epoch  9, Batch   2196, Loss  0.867685, Average Loss  0.868920, Time  0.358697
2021-09-10 07:52:17.287980 : Epoch  9, Batch   2197, Loss  0.890172, Average Loss  0.869061, Time  0.453466
2021-09-10 07:52:19.141106 : Epoch  9, Batch   2198, Loss  0.849602, Average Loss  0.869083, Time  0.429385
2021-09-10 07:52:20.917563 : Epoch  9, Batch   2199, Loss  0.877217, Average Loss  0.868997, Time  0.367182
2021-09-10 07:52:22.678240 : Epoch  9, Batch   2200, Loss  0.823581, Average Loss  0.868679, Time  0.357927
2021-09-10 07:52:24.555102 : Epoch  9, Batch   2201, Loss  0.885943, Average Loss  0.868688, Time  0.448878
2021-09-10 07:52:26.435954 : Epoch  9, Batch   2202, Loss  0.847546, Average Loss  0.868477, Time  0.455121
2021-09-10 07:52:28.238778 : Epoch  9, Batch   2203, Loss  0.863334, Average Loss  0.868454, Time  0.370999
2021-09-10 07:52:30.041773 : Epoch  9, Batch   2204, Loss  0.837559, Average Loss  0.868323, Time  0.365100
2021-09-10 07:52:31.838096 : Epoch  9, Batch   2205, Loss  0.853382, Average Loss  0.868229, Time  0.383364
2021-09-10 07:52:33.706774 : Epoch  9, Batch   2206, Loss  0.863423, Average Loss  0.868126, Time  0.453841
2021-09-10 07:52:35.494113 : Epoch  9, Batch   2207, Loss  0.871141, Average Loss  0.868040, Time  0.357219
2021-09-10 07:52:37.253346 : Epoch  9, Batch   2208, Loss  0.885082, Average Loss  0.868144, Time  0.357821
2021-09-10 07:52:39.038908 : Epoch  9, Batch   2209, Loss  0.873116, Average Loss  0.868092, Time  0.383514
2021-09-10 07:52:40.928779 : Epoch  9, Batch   2210, Loss  0.867131, Average Loss  0.868129, Time  0.452084
2021-09-10 07:52:42.692601 : Epoch  9, Batch   2211, Loss  0.874731, Average Loss  0.868178, Time  0.355326
2021-09-10 07:52:44.454776 : Epoch  9, Batch   2212, Loss  0.841931, Average Loss  0.868007, Time  0.364897
2021-09-10 07:57:35.568736 : CheckPoint: Validation Loss  0.00063607, Best Loss  0.00056427
2021-09-10 07:57:37.432778 : Epoch  9, Batch   2213, Loss  0.877818, Average Loss  0.867694, Time  0.413078
2021-09-10 07:57:39.367780 : Epoch  9, Batch   2214, Loss  0.887486, Average Loss  0.867883, Time  0.465262
2021-09-10 07:57:41.242777 : Epoch  9, Batch   2215, Loss  0.864383, Average Loss  0.868093, Time  0.451597
2021-09-10 07:57:43.007107 : Epoch  9, Batch   2216, Loss  0.854552, Average Loss  0.867795, Time  0.361267
2021-09-10 07:57:44.796037 : Epoch  9, Batch   2217, Loss  0.852986, Average Loss  0.867750, Time  0.364382
2021-09-10 07:57:46.666765 : Epoch  9, Batch   2218, Loss  0.859509, Average Loss  0.867632, Time  0.432676
2021-09-10 07:57:48.532547 : Epoch  9, Batch   2219, Loss  0.872941, Average Loss  0.867641, Time  0.458587
2021-09-10 07:57:50.309094 : Epoch  9, Batch   2220, Loss  0.860392, Average Loss  0.867522, Time  0.367705
2021-09-10 07:57:52.108776 : Epoch  9, Batch   2221, Loss  0.871147, Average Loss  0.867510, Time  0.365725
2021-09-10 07:57:53.907806 : Epoch  9, Batch   2222, Loss  0.879792, Average Loss  0.867558, Time  0.386316
2021-09-10 07:57:55.767775 : Epoch  9, Batch   2223, Loss  0.875676, Average Loss  0.867718, Time  0.454074
2021-09-10 07:57:57.546774 : Epoch  9, Batch   2224, Loss  0.899263, Average Loss  0.867772, Time  0.370341
2021-09-10 07:57:59.336425 : Epoch  9, Batch   2225, Loss  0.867764, Average Loss  0.867720, Time  0.361906
2021-09-10 07:58:01.141186 : Epoch  9, Batch   2226, Loss  0.840370, Average Loss  0.867389, Time  0.389635
2021-09-10 07:58:03.017936 : Epoch  9, Batch   2227, Loss  0.840853, Average Loss  0.867402, Time  0.451070
2021-09-10 07:58:04.782947 : Epoch  9, Batch   2228, Loss  0.882635, Average Loss  0.867518, Time  0.363061
2021-09-10 07:58:06.553770 : Epoch  9, Batch   2229, Loss  0.871660, Average Loss  0.867530, Time  0.362957
2021-09-10 07:58:08.365871 : Epoch  9, Batch   2230, Loss  0.903142, Average Loss  0.867565, Time  0.388891
2021-09-10 07:58:10.227775 : Epoch  9, Batch   2231, Loss  0.876532, Average Loss  0.867591, Time  0.452550
2021-09-10 07:58:12.025774 : Epoch  9, Batch   2232, Loss  0.853959, Average Loss  0.867561, Time  0.365226
2021-09-10 07:58:13.797514 : Epoch  9, Batch   2233, Loss  0.860477, Average Loss  0.867599, Time  0.361578
2021-09-10 07:58:15.611041 : Epoch  9, Batch   2234, Loss  0.880012, Average Loss  0.867768, Time  0.386146
2021-09-10 07:58:17.479775 : Epoch  9, Batch   2235, Loss  0.860217, Average Loss  0.867740, Time  0.450575
2021-09-10 07:58:19.282281 : Epoch  9, Batch   2236, Loss  0.820447, Average Loss  0.867376, Time  0.360657
2021-09-10 07:58:21.053780 : Epoch  9, Batch   2237, Loss  0.872092, Average Loss  0.867448, Time  0.358805
2021-09-10 07:58:22.870113 : Epoch  9, Batch   2238, Loss  0.836852, Average Loss  0.867507, Time  0.362901
2021-09-10 07:58:24.744876 : Epoch  9, Batch   2239, Loss  0.884284, Average Loss  0.867534, Time  0.459095
2021-09-10 07:58:26.511639 : Epoch  9, Batch   2240, Loss  0.879191, Average Loss  0.867439, Time  0.364476
2021-09-10 07:58:28.288766 : Epoch  9, Batch   2241, Loss  0.847882, Average Loss  0.867440, Time  0.356757
2021-09-10 07:58:30.087768 : Epoch  9, Batch   2242, Loss  0.856210, Average Loss  0.867338, Time  0.392703
2021-09-10 07:58:31.972270 : Epoch  9, Batch   2243, Loss  0.855583, Average Loss  0.867287, Time  0.459810
2021-09-10 07:58:33.744776 : Epoch  9, Batch   2244, Loss  0.892233, Average Loss  0.867339, Time  0.362095
2021-09-10 07:58:35.514456 : Epoch  9, Batch   2245, Loss  0.884009, Average Loss  0.867315, Time  0.361375
2021-09-10 07:58:37.348763 : Epoch  9, Batch   2246, Loss  0.903311, Average Loss  0.867482, Time  0.409720
2021-09-10 07:58:39.231765 : Epoch  9, Batch   2247, Loss  0.897595, Average Loss  0.867593, Time  0.459830
2021-09-10 07:58:40.997466 : Epoch  9, Batch   2248, Loss  0.884935, Average Loss  0.867809, Time  0.361770
2021-09-10 07:58:42.764089 : Epoch  9, Batch   2249, Loss  0.848983, Average Loss  0.867710, Time  0.357185
2021-09-10 07:58:44.583114 : Epoch  9, Batch   2250, Loss  0.879212, Average Loss  0.867720, Time  0.413951
2021-09-10 07:58:46.463234 : Epoch  9, Batch   2251, Loss  0.842885, Average Loss  0.867683, Time  0.456990
2021-09-10 07:58:48.243249 : Epoch  9, Batch   2252, Loss  0.870113, Average Loss  0.867512, Time  0.365940
2021-09-10 07:58:50.035003 : Epoch  9, Batch   2253, Loss  0.856191, Average Loss  0.867311, Time  0.357298
2021-09-10 07:58:51.858223 : Epoch  9, Batch   2254, Loss  0.841900, Average Loss  0.867350, Time  0.370575
2021-09-10 07:58:53.743186 : Epoch  9, Batch   2255, Loss  0.868927, Average Loss  0.867463, Time  0.455454
2021-09-10 07:58:55.515777 : Epoch  9, Batch   2256, Loss  0.854496, Average Loss  0.867501, Time  0.356686
2021-09-10 07:58:57.326590 : Epoch  9, Batch   2257, Loss  0.870444, Average Loss  0.867503, Time  0.359167
2021-09-10 07:58:59.106736 : Epoch  9, Batch   2258, Loss  0.861369, Average Loss  0.867622, Time  0.372433
2021-09-10 07:59:00.982184 : Epoch  9, Batch   2259, Loss  0.872249, Average Loss  0.867686, Time  0.461218
2021-09-10 07:59:02.780300 : Epoch  9, Batch   2260, Loss  0.848078, Average Loss  0.867713, Time  0.357641
2021-09-10 07:59:04.563485 : Epoch  9, Batch   2261, Loss  0.868193, Average Loss  0.867893, Time  0.359658
2021-09-10 07:59:06.369932 : Epoch  9, Batch   2262, Loss  0.884449, Average Loss  0.868062, Time  0.370718
2021-09-10 07:59:08.251763 : Epoch  9, Batch   2263, Loss  0.865099, Average Loss  0.867969, Time  0.461818
2021-09-10 07:59:10.023771 : Epoch  9, Batch   2264, Loss  0.877822, Average Loss  0.867954, Time  0.335929
2021-09-10 07:59:11.821924 : Epoch  9, Batch   2265, Loss  0.870886, Average Loss  0.867996, Time  0.366800
2021-09-10 07:59:13.612610 : Epoch  9, Batch   2266, Loss  0.868069, Average Loss  0.868022, Time  0.359460
2021-09-10 07:59:15.495001 : Epoch  9, Batch   2267, Loss  0.858576, Average Loss  0.867907, Time  0.460208
2021-09-10 07:59:17.325882 : Epoch  9, Batch   2268, Loss  0.854223, Average Loss  0.867785, Time  0.388223
2021-09-10 07:59:19.111766 : Epoch  9, Batch   2269, Loss  0.910528, Average Loss  0.867941, Time  0.357783
2021-09-10 07:59:20.884959 : Epoch  9, Batch   2270, Loss  0.878639, Average Loss  0.867954, Time  0.363864
2021-09-10 07:59:22.776773 : Epoch  9, Batch   2271, Loss  0.881570, Average Loss  0.868150, Time  0.464668
2021-09-10 07:59:24.649777 : Epoch  9, Batch   2272, Loss  0.862236, Average Loss  0.868216, Time  0.452037
2021-09-10 07:59:26.456771 : Epoch  9, Batch   2273, Loss  0.859738, Average Loss  0.868223, Time  0.371834
2021-09-10 07:59:28.235811 : Epoch  9, Batch   2274, Loss  0.875973, Average Loss  0.868480, Time  0.362228
2021-09-10 07:59:30.066035 : Epoch  9, Batch   2275, Loss  0.855431, Average Loss  0.868449, Time  0.412364
2021-09-10 07:59:31.916944 : Epoch  9, Batch   2276, Loss  0.884261, Average Loss  0.868461, Time  0.445790
2021-09-10 07:59:33.678539 : Epoch  9, Batch   2277, Loss  0.862307, Average Loss  0.868508, Time  0.359056
2021-09-10 07:59:35.451565 : Epoch  9, Batch   2278, Loss  0.859798, Average Loss  0.868409, Time  0.359060
2021-09-10 07:59:37.283775 : Epoch  9, Batch   2279, Loss  0.869482, Average Loss  0.868554, Time  0.416356
2021-09-10 07:59:39.160090 : Epoch  9, Batch   2280, Loss  0.845710, Average Loss  0.868427, Time  0.445162
2021-09-10 07:59:40.931773 : Epoch  9, Batch   2281, Loss  0.863465, Average Loss  0.868517, Time  0.369001
2021-09-10 07:59:42.713107 : Epoch  9, Batch   2282, Loss  0.881846, Average Loss  0.868580, Time  0.357265
2021-09-10 07:59:44.560773 : Epoch  9, Batch   2283, Loss  0.847017, Average Loss  0.868385, Time  0.403262
2021-09-10 07:59:46.452229 : Epoch  9, Batch   2284, Loss  0.836440, Average Loss  0.868094, Time  0.454055
2021-09-10 07:59:48.224776 : Epoch  9, Batch   2285, Loss  0.861525, Average Loss  0.868180, Time  0.346432
2021-09-10 07:59:49.999203 : Epoch  9, Batch   2286, Loss  0.910526, Average Loss  0.868276, Time  0.355662
2021-09-10 07:59:51.783773 : Epoch  9, Batch   2287, Loss  0.854409, Average Loss  0.868169, Time  0.376616
2021-09-10 07:59:53.664928 : Epoch  9, Batch   2288, Loss  0.868058, Average Loss  0.868148, Time  0.450938
2021-09-10 07:59:55.448776 : Epoch  9, Batch   2289, Loss  0.849642, Average Loss  0.868043, Time  0.359826
2021-09-10 07:59:57.263806 : Epoch  9, Batch   2290, Loss  0.865535, Average Loss  0.867865, Time  0.359119
2021-09-10 07:59:59.081765 : Epoch  9, Batch   2291, Loss  0.877680, Average Loss  0.867964, Time  0.357126
2021-09-10 08:00:00.976767 : Epoch  9, Batch   2292, Loss  0.881969, Average Loss  0.867937, Time  0.456805
2021-09-10 08:00:02.742786 : Epoch  9, Batch   2293, Loss  0.883323, Average Loss  0.868024, Time  0.335105
2021-09-10 08:00:04.531773 : Epoch  9, Batch   2294, Loss  0.910214, Average Loss  0.868171, Time  0.363475
2021-09-10 08:00:06.308773 : Epoch  9, Batch   2295, Loss  0.887202, Average Loss  0.868222, Time  0.371499
2021-09-10 08:00:08.161812 : Epoch  9, Batch   2296, Loss  0.865377, Average Loss  0.868260, Time  0.452110
2021-09-10 08:00:09.963786 : Epoch  9, Batch   2297, Loss  0.842358, Average Loss  0.868260, Time  0.363346
2021-09-10 08:00:11.746103 : Epoch  9, Batch   2298, Loss  0.859574, Average Loss  0.868257, Time  0.362813
2021-09-10 08:00:13.542686 : Epoch  9, Batch   2299, Loss  0.887654, Average Loss  0.868135, Time  0.384746
2021-09-10 08:00:15.405148 : Epoch  9, Batch   2300, Loss  0.839454, Average Loss  0.868038, Time  0.455840
2021-09-10 08:00:17.190783 : Epoch  9, Batch   2301, Loss  0.880781, Average Loss  0.868196, Time  0.359898
2021-09-10 08:00:18.977846 : Epoch  9, Batch   2302, Loss  0.881347, Average Loss  0.868227, Time  0.360120
2021-09-10 08:00:20.780110 : Epoch  9, Batch   2303, Loss  0.866722, Average Loss  0.868287, Time  0.403511
2021-09-10 08:00:22.656945 : Epoch  9, Batch   2304, Loss  0.867125, Average Loss  0.868601, Time  0.454890
2021-09-10 08:00:24.449962 : Epoch  9, Batch   2305, Loss  0.866569, Average Loss  0.868521, Time  0.363903
2021-09-10 08:00:26.239778 : Epoch  9, Batch   2306, Loss  0.853441, Average Loss  0.868507, Time  0.363672
2021-09-10 08:00:28.057172 : Epoch  9, Batch   2307, Loss  0.855944, Average Loss  0.868474, Time  0.408444
2021-09-10 08:00:29.935770 : Epoch  9, Batch   2308, Loss  0.848305, Average Loss  0.868377, Time  0.459378
2021-09-10 08:00:31.715058 : Epoch  9, Batch   2309, Loss  0.845844, Average Loss  0.868191, Time  0.358487
2021-09-10 08:00:33.489184 : Epoch  9, Batch   2310, Loss  0.832915, Average Loss  0.868027, Time  0.364777
2021-09-10 08:00:35.299761 : Epoch  9, Batch   2311, Loss  0.853738, Average Loss  0.867903, Time  0.387502
2021-09-10 08:00:42.617410 : Epoch  9, Batch   2312, Loss  0.877671, Average Loss  0.867799, Time  0.376179
2021-09-10 08:05:34.218706 : CheckPoint: Validation Loss  0.00062313, Best Loss  0.00056427
2021-09-10 08:05:36.085813 : Epoch  9, Batch   2313, Loss  0.882663, Average Loss  0.867817, Time  0.437113
2021-09-10 08:05:37.968777 : Epoch  9, Batch   2314, Loss  0.861323, Average Loss  0.867734, Time  0.451910
2021-09-10 08:05:39.785809 : Epoch  9, Batch   2315, Loss  0.832285, Average Loss  0.867683, Time  0.369732
2021-09-10 08:05:41.553779 : Epoch  9, Batch   2316, Loss  0.840691, Average Loss  0.867571, Time  0.363977
2021-09-10 08:05:43.347945 : Epoch  9, Batch   2317, Loss  0.900474, Average Loss  0.867679, Time  0.387248
2021-09-10 08:05:45.223780 : Epoch  9, Batch   2318, Loss  0.877921, Average Loss  0.867740, Time  0.452035
2021-09-10 08:05:46.998092 : Epoch  9, Batch   2319, Loss  0.896583, Average Loss  0.867821, Time  0.363675
2021-09-10 08:05:48.759198 : Epoch  9, Batch   2320, Loss  0.887049, Average Loss  0.867843, Time  0.356255
2021-09-10 08:05:50.583098 : Epoch  9, Batch   2321, Loss  0.866637, Average Loss  0.867725, Time  0.408821
2021-09-10 08:05:52.471479 : Epoch  9, Batch   2322, Loss  0.870791, Average Loss  0.867661, Time  0.457597
2021-09-10 08:05:54.244278 : Epoch  9, Batch   2323, Loss  0.861786, Average Loss  0.867643, Time  0.365374
2021-09-10 08:05:56.066779 : Epoch  9, Batch   2324, Loss  0.864769, Average Loss  0.867618, Time  0.363960
2021-09-10 08:05:57.867773 : Epoch  9, Batch   2325, Loss  0.840326, Average Loss  0.867514, Time  0.368035
2021-09-10 08:05:59.762781 : Epoch  9, Batch   2326, Loss  0.875661, Average Loss  0.867272, Time  0.464229
2021-09-10 08:06:01.533773 : Epoch  9, Batch   2327, Loss  0.840910, Average Loss  0.867127, Time  0.363201
2021-09-10 08:06:03.311776 : Epoch  9, Batch   2328, Loss  0.848033, Average Loss  0.867061, Time  0.365249
2021-09-10 08:06:05.102101 : Epoch  9, Batch   2329, Loss  0.877833, Average Loss  0.867323, Time  0.393845
2021-09-10 08:06:06.988783 : Epoch  9, Batch   2330, Loss  0.866201, Average Loss  0.867401, Time  0.455483
2021-09-10 08:06:08.771107 : Epoch  9, Batch   2331, Loss  0.831929, Average Loss  0.867182, Time  0.336099
2021-09-10 08:06:10.556766 : Epoch  9, Batch   2332, Loss  0.877133, Average Loss  0.867240, Time  0.358460
2021-09-10 08:06:12.338117 : Epoch  9, Batch   2333, Loss  0.868386, Average Loss  0.867318, Time  0.373094
2021-09-10 08:06:14.240785 : Epoch  9, Batch   2334, Loss  0.862244, Average Loss  0.867184, Time  0.451573
2021-09-10 08:06:16.136828 : Epoch  9, Batch   2335, Loss  0.871175, Average Loss  0.867229, Time  0.431937
2021-09-10 08:06:17.918087 : Epoch  9, Batch   2336, Loss  0.848052, Average Loss  0.867269, Time  0.361443
2021-09-10 08:06:19.702781 : Epoch  9, Batch   2337, Loss  0.841284, Average Loss  0.867050, Time  0.367176
2021-09-10 08:06:21.579043 : Epoch  9, Batch   2338, Loss  0.875029, Average Loss  0.867177, Time  0.432945
2021-09-10 08:06:23.449783 : Epoch  9, Batch   2339, Loss  0.855436, Average Loss  0.866899, Time  0.458759
2021-09-10 08:06:25.237091 : Epoch  9, Batch   2340, Loss  0.869368, Average Loss  0.866828, Time  0.356287
2021-09-10 08:06:26.993952 : Epoch  9, Batch   2341, Loss  0.864794, Average Loss  0.866872, Time  0.358294
2021-09-10 08:06:28.817775 : Epoch  9, Batch   2342, Loss  0.855087, Average Loss  0.866845, Time  0.418162
2021-09-10 08:06:30.675759 : Epoch  9, Batch   2343, Loss  0.864582, Average Loss  0.866822, Time  0.436550
2021-09-10 08:06:32.493781 : Epoch  9, Batch   2344, Loss  0.879043, Average Loss  0.867014, Time  0.360934
2021-09-10 08:06:34.290118 : Epoch  9, Batch   2345, Loss  0.845406, Average Loss  0.866998, Time  0.362777
2021-09-10 08:06:36.087788 : Epoch  9, Batch   2346, Loss  0.852156, Average Loss  0.866841, Time  0.390715
2021-09-10 08:06:37.941604 : Epoch  9, Batch   2347, Loss  0.881364, Average Loss  0.866900, Time  0.463242
2021-09-10 08:06:39.728234 : Epoch  9, Batch   2348, Loss  0.866768, Average Loss  0.866881, Time  0.359391
2021-09-10 08:06:41.502029 : Epoch  9, Batch   2349, Loss  0.878767, Average Loss  0.866873, Time  0.357241
2021-09-10 08:06:43.330766 : Epoch  9, Batch   2350, Loss  0.870843, Average Loss  0.866982, Time  0.397000
2021-09-10 08:06:45.212778 : Epoch  9, Batch   2351, Loss  0.880780, Average Loss  0.867058, Time  0.453040
2021-09-10 08:06:46.992773 : Epoch  9, Batch   2352, Loss  0.871133, Average Loss  0.866928, Time  0.363654
2021-09-10 08:06:48.747889 : Epoch  9, Batch   2353, Loss  0.901102, Average Loss  0.867219, Time  0.357292
2021-09-10 08:06:50.556772 : Epoch  9, Batch   2354, Loss  0.871768, Average Loss  0.867116, Time  0.389199
2021-09-10 08:06:52.441102 : Epoch  9, Batch   2355, Loss  0.876179, Average Loss  0.866942, Time  0.458570
2021-09-10 08:06:54.214766 : Epoch  9, Batch   2356, Loss  0.885362, Average Loss  0.866994, Time  0.367894
2021-09-10 08:06:55.984831 : Epoch  9, Batch   2357, Loss  0.885625, Average Loss  0.866984, Time  0.367126
2021-09-10 08:06:57.822771 : Epoch  9, Batch   2358, Loss  0.876206, Average Loss  0.867040, Time  0.392663
2021-09-10 08:06:59.709874 : Epoch  9, Batch   2359, Loss  0.885408, Average Loss  0.867167, Time  0.468828
2021-09-10 08:07:01.483774 : Epoch  9, Batch   2360, Loss  0.842329, Average Loss  0.867030, Time  0.361095
2021-09-10 08:07:03.252830 : Epoch  9, Batch   2361, Loss  0.866761, Average Loss  0.867038, Time  0.363538
2021-09-10 08:07:05.062103 : Epoch  9, Batch   2362, Loss  0.834889, Average Loss  0.866786, Time  0.398693
2021-09-10 08:07:06.992796 : Epoch  9, Batch   2363, Loss  0.878614, Average Loss  0.866854, Time  0.451877
2021-09-10 08:07:08.857772 : Epoch  9, Batch   2364, Loss  0.845379, Average Loss  0.866748, Time  0.426106
2021-09-10 08:07:10.629773 : Epoch  9, Batch   2365, Loss  0.850216, Average Loss  0.866569, Time  0.362286
2021-09-10 08:07:12.394228 : Epoch  9, Batch   2366, Loss  0.879417, Average Loss  0.866783, Time  0.357178
2021-09-10 08:07:14.244907 : Epoch  9, Batch   2367, Loss  0.869304, Average Loss  0.866711, Time  0.438306
2021-09-10 08:07:16.115108 : Epoch  9, Batch   2368, Loss  0.894617, Average Loss  0.866905, Time  0.451226
2021-09-10 08:07:17.898772 : Epoch  9, Batch   2369, Loss  0.896107, Average Loss  0.867103, Time  0.363459
2021-09-10 08:07:19.695777 : Epoch  9, Batch   2370, Loss  0.858840, Average Loss  0.867105, Time  0.355855
2021-09-10 08:07:21.517765 : Epoch  9, Batch   2371, Loss  0.846683, Average Loss  0.866808, Time  0.395947
2021-09-10 08:07:23.391816 : Epoch  9, Batch   2372, Loss  0.855833, Average Loss  0.866801, Time  0.457448
2021-09-10 08:07:25.197793 : Epoch  9, Batch   2373, Loss  0.857003, Average Loss  0.866786, Time  0.364236
2021-09-10 08:07:27.005775 : Epoch  9, Batch   2374, Loss  0.854514, Average Loss  0.866698, Time  0.360394
2021-09-10 08:07:28.828158 : Epoch  9, Batch   2375, Loss  0.850080, Average Loss  0.866813, Time  0.388165
2021-09-10 08:07:30.697972 : Epoch  9, Batch   2376, Loss  0.870055, Average Loss  0.866709, Time  0.464165
2021-09-10 08:07:32.479831 : Epoch  9, Batch   2377, Loss  0.859976, Average Loss  0.866555, Time  0.363074
2021-09-10 08:07:34.255777 : Epoch  9, Batch   2378, Loss  0.886039, Average Loss  0.866802, Time  0.360378
2021-09-10 08:07:36.081003 : Epoch  9, Batch   2379, Loss  0.855303, Average Loss  0.866789, Time  0.397183
2021-09-10 08:07:37.958247 : Epoch  9, Batch   2380, Loss  0.859501, Average Loss  0.866739, Time  0.457631
2021-09-10 08:07:39.733802 : Epoch  9, Batch   2381, Loss  0.860456, Average Loss  0.866816, Time  0.356803
2021-09-10 08:07:41.515772 : Epoch  9, Batch   2382, Loss  0.889314, Average Loss  0.866924, Time  0.360117
2021-09-10 08:07:43.346812 : Epoch  9, Batch   2383, Loss  0.863737, Average Loss  0.867028, Time  0.388989
2021-09-10 08:07:45.228942 : Epoch  9, Batch   2384, Loss  0.843776, Average Loss  0.867071, Time  0.459074
2021-09-10 08:07:47.003929 : Epoch  9, Batch   2385, Loss  0.874444, Average Loss  0.867043, Time  0.358012
2021-09-10 08:07:48.780776 : Epoch  9, Batch   2386, Loss  0.845193, Average Loss  0.866837, Time  0.356567
2021-09-10 08:07:50.587934 : Epoch  9, Batch   2387, Loss  0.883880, Average Loss  0.866849, Time  0.397103
2021-09-10 08:07:52.477900 : Epoch  9, Batch   2388, Loss  0.847911, Average Loss  0.866681, Time  0.460438
2021-09-10 08:07:54.261427 : Epoch  9, Batch   2389, Loss  0.843334, Average Loss  0.866503, Time  0.356803
2021-09-10 08:07:56.036900 : Epoch  9, Batch   2390, Loss  0.890729, Average Loss  0.866529, Time  0.362393
2021-09-10 08:07:57.854776 : Epoch  9, Batch   2391, Loss  0.880293, Average Loss  0.866433, Time  0.380676
2021-09-10 08:07:59.771957 : Epoch  9, Batch   2392, Loss  0.856155, Average Loss  0.866318, Time  0.450544
2021-09-10 08:08:01.646767 : Epoch  9, Batch   2393, Loss  0.850746, Average Loss  0.866250, Time  0.432717
2021-09-10 08:08:03.456306 : Epoch  9, Batch   2394, Loss  0.874715, Average Loss  0.866248, Time  0.361803
2021-09-10 08:08:05.229114 : Epoch  9, Batch   2395, Loss  0.864510, Average Loss  0.866286, Time  0.356289
2021-09-10 08:08:07.065775 : Epoch  9, Batch   2396, Loss  0.853915, Average Loss  0.866217, Time  0.424318
2021-09-10 08:08:08.964056 : Epoch  9, Batch   2397, Loss  0.916434, Average Loss  0.866349, Time  0.460096
2021-09-10 08:08:10.730763 : Epoch  9, Batch   2398, Loss  0.883114, Average Loss  0.866516, Time  0.357886
2021-09-10 08:08:12.503097 : Epoch  9, Batch   2399, Loss  0.876399, Average Loss  0.866512, Time  0.362959
2021-09-10 08:08:14.328379 : Epoch  9, Batch   2400, Loss  0.852023, Average Loss  0.866654, Time  0.401162
2021-09-10 08:08:16.184764 : Epoch  9, Batch   2401, Loss  0.855612, Average Loss  0.866503, Time  0.450071
2021-09-10 08:08:17.983766 : Epoch  9, Batch   2402, Loss  0.874593, Average Loss  0.866638, Time  0.361638
2021-09-10 08:08:19.761695 : Epoch  9, Batch   2403, Loss  0.900614, Average Loss  0.866824, Time  0.362613
2021-09-10 08:08:21.580784 : Epoch  9, Batch   2404, Loss  0.913760, Average Loss  0.867205, Time  0.399953
2021-09-10 08:08:23.469072 : Epoch  9, Batch   2405, Loss  0.873051, Average Loss  0.867304, Time  0.454488
2021-09-10 08:08:25.254898 : Epoch  9, Batch   2406, Loss  0.885212, Average Loss  0.867413, Time  0.355889
2021-09-10 08:08:27.047759 : Epoch  9, Batch   2407, Loss  0.881574, Average Loss  0.867465, Time  0.363620
2021-09-10 08:08:28.862470 : Epoch  9, Batch   2408, Loss  0.830541, Average Loss  0.867192, Time  0.376001
2021-09-10 08:08:30.747830 : Epoch  9, Batch   2409, Loss  0.864339, Average Loss  0.867148, Time  0.463542
2021-09-10 08:08:32.517468 : Epoch  9, Batch   2410, Loss  0.864777, Average Loss  0.867137, Time  0.335301
2021-09-10 08:08:34.286768 : Epoch  9, Batch   2411, Loss  0.867854, Average Loss  0.867102, Time  0.358503
2021-09-10 08:08:36.060181 : Epoch  9, Batch   2412, Loss  0.878091, Average Loss  0.867283, Time  0.369390
2021-09-10 08:13:27.099718 : CheckPoint: Validation Loss  0.00060502, Best Loss  0.00056427
2021-09-10 08:13:28.960947 : Epoch  9, Batch   2413, Loss  0.867665, Average Loss  0.867232, Time  0.435057
2021-09-10 08:13:30.861773 : Epoch  9, Batch   2414, Loss  0.878374, Average Loss  0.867187, Time  0.459822
2021-09-10 08:13:32.645817 : Epoch  9, Batch   2415, Loss  0.846871, Average Loss  0.867099, Time  0.355365
2021-09-10 08:13:34.417773 : Epoch  9, Batch   2416, Loss  0.844530, Average Loss  0.867049, Time  0.357118
2021-09-10 08:13:36.231884 : Epoch  9, Batch   2417, Loss  0.896851, Average Loss  0.867268, Time  0.389139
2021-09-10 08:13:38.122084 : Epoch  9, Batch   2418, Loss  0.861733, Average Loss  0.867279, Time  0.460883
2021-09-10 08:13:39.933929 : Epoch  9, Batch   2419, Loss  0.893511, Average Loss  0.867382, Time  0.373098
2021-09-10 08:13:41.716504 : Epoch  9, Batch   2420, Loss  0.867454, Average Loss  0.867418, Time  0.369801
2021-09-10 08:13:43.476101 : Epoch  9, Batch   2421, Loss  0.844375, Average Loss  0.867284, Time  0.361617
2021-09-10 08:13:45.360813 : Epoch  9, Batch   2422, Loss  0.849193, Average Loss  0.867131, Time  0.450320
2021-09-10 08:13:47.236436 : Epoch  9, Batch   2423, Loss  0.853754, Average Loss  0.867021, Time  0.450983
2021-09-10 08:13:49.003762 : Epoch  9, Batch   2424, Loss  0.860478, Average Loss  0.866827, Time  0.360439
2021-09-10 08:13:50.782777 : Epoch  9, Batch   2425, Loss  0.852154, Average Loss  0.866749, Time  0.364835
2021-09-10 08:13:52.624095 : Epoch  9, Batch   2426, Loss  0.818181, Average Loss  0.866638, Time  0.415387
2021-09-10 08:13:54.496773 : Epoch  9, Batch   2427, Loss  0.850025, Average Loss  0.866684, Time  0.455261
2021-09-10 08:13:56.267462 : Epoch  9, Batch   2428, Loss  0.869200, Average Loss  0.866617, Time  0.355999
2021-09-10 08:13:58.038229 : Epoch  9, Batch   2429, Loss  0.888681, Average Loss  0.866702, Time  0.356210
2021-09-10 08:13:59.863774 : Epoch  9, Batch   2430, Loss  0.857772, Average Loss  0.866475, Time  0.403070
2021-09-10 08:14:01.744100 : Epoch  9, Batch   2431, Loss  0.869996, Average Loss  0.866442, Time  0.467952
2021-09-10 08:14:03.514773 : Epoch  9, Batch   2432, Loss  0.842681, Average Loss  0.866386, Time  0.358286
2021-09-10 08:14:05.284155 : Epoch  9, Batch   2433, Loss  0.853319, Average Loss  0.866350, Time  0.355522
2021-09-10 08:14:07.085090 : Epoch  9, Batch   2434, Loss  0.867527, Average Loss  0.866288, Time  0.388232
2021-09-10 08:14:08.962543 : Epoch  9, Batch   2435, Loss  0.862510, Average Loss  0.866299, Time  0.473513
2021-09-10 08:14:10.728786 : Epoch  9, Batch   2436, Loss  0.868459, Average Loss  0.866539, Time  0.356657
2021-09-10 08:14:12.502012 : Epoch  9, Batch   2437, Loss  0.848741, Average Loss  0.866423, Time  0.356764
2021-09-10 08:14:14.323905 : Epoch  9, Batch   2438, Loss  0.872675, Average Loss  0.866602, Time  0.394474
2021-09-10 08:14:16.217777 : Epoch  9, Batch   2439, Loss  0.852489, Average Loss  0.866443, Time  0.449994
2021-09-10 08:14:17.994496 : Epoch  9, Batch   2440, Loss  0.874566, Average Loss  0.866420, Time  0.356143
2021-09-10 08:14:19.753946 : Epoch  9, Batch   2441, Loss  0.863881, Average Loss  0.866500, Time  0.363458
2021-09-10 08:14:21.538779 : Epoch  9, Batch   2442, Loss  0.865270, Average Loss  0.866545, Time  0.389443
2021-09-10 08:14:23.421972 : Epoch  9, Batch   2443, Loss  0.863965, Average Loss  0.866587, Time  0.455258
2021-09-10 08:14:25.196360 : Epoch  9, Batch   2444, Loss  0.870807, Average Loss  0.866480, Time  0.358280
2021-09-10 08:14:26.974111 : Epoch  9, Batch   2445, Loss  0.848900, Average Loss  0.866304, Time  0.355224
2021-09-10 08:14:28.780814 : Epoch  9, Batch   2446, Loss  0.892786, Average Loss  0.866252, Time  0.399801
2021-09-10 08:14:30.663833 : Epoch  9, Batch   2447, Loss  0.873262, Average Loss  0.866130, Time  0.455281
2021-09-10 08:14:32.452805 : Epoch  9, Batch   2448, Loss  0.846575, Average Loss  0.865938, Time  0.357014
2021-09-10 08:14:34.243797 : Epoch  9, Batch   2449, Loss  0.883737, Average Loss  0.866112, Time  0.356774
2021-09-10 08:14:36.042087 : Epoch  9, Batch   2450, Loss  0.864337, Average Loss  0.866037, Time  0.381788
2021-09-10 08:14:37.918908 : Epoch  9, Batch   2451, Loss  0.850085, Average Loss  0.866073, Time  0.458318
2021-09-10 08:14:39.700812 : Epoch  9, Batch   2452, Loss  0.857844, Average Loss  0.866012, Time  0.357818
2021-09-10 08:14:41.471109 : Epoch  9, Batch   2453, Loss  0.859391, Average Loss  0.866028, Time  0.365416
2021-09-10 08:14:43.285869 : Epoch  9, Batch   2454, Loss  0.872271, Average Loss  0.866180, Time  0.397051
2021-09-10 08:14:45.170240 : Epoch  9, Batch   2455, Loss  0.889222, Average Loss  0.866281, Time  0.455683
2021-09-10 08:14:46.965239 : Epoch  9, Batch   2456, Loss  0.860690, Average Loss  0.866312, Time  0.338217
2021-09-10 08:14:48.777765 : Epoch  9, Batch   2457, Loss  0.872294, Average Loss  0.866322, Time  0.362389
2021-09-10 08:14:50.562927 : Epoch  9, Batch   2458, Loss  0.889585, Average Loss  0.866463, Time  0.356137
2021-09-10 08:14:52.431112 : Epoch  9, Batch   2459, Loss  0.886579, Average Loss  0.866534, Time  0.464704
2021-09-10 08:14:54.220793 : Epoch  9, Batch   2460, Loss  0.840221, Average Loss  0.866495, Time  0.356805
2021-09-10 08:14:56.001851 : Epoch  9, Batch   2461, Loss  0.886495, Average Loss  0.866587, Time  0.357851
2021-09-10 08:14:57.808088 : Epoch  9, Batch   2462, Loss  0.837096, Average Loss  0.866350, Time  0.368340
2021-09-10 08:14:59.698933 : Epoch  9, Batch   2463, Loss  0.896066, Average Loss  0.866505, Time  0.447889
2021-09-10 08:15:01.478764 : Epoch  9, Batch   2464, Loss  0.877681, Average Loss  0.866504, Time  0.348553
2021-09-10 08:15:03.270090 : Epoch  9, Batch   2465, Loss  0.842513, Average Loss  0.866362, Time  0.360195
2021-09-10 08:15:05.060146 : Epoch  9, Batch   2466, Loss  0.880296, Average Loss  0.866423, Time  0.362987
2021-09-10 08:15:06.922771 : Epoch  9, Batch   2467, Loss  0.876144, Average Loss  0.866511, Time  0.460071
2021-09-10 08:15:08.688803 : Epoch  9, Batch   2468, Loss  0.879848, Average Loss  0.866639, Time  0.357570
2021-09-10 08:15:10.466761 : Epoch  9, Batch   2469, Loss  0.840813, Average Loss  0.866291, Time  0.356723
2021-09-10 08:15:12.290965 : Epoch  9, Batch   2470, Loss  0.863634, Average Loss  0.866216, Time  0.392292
2021-09-10 08:15:14.185729 : Epoch  9, Batch   2471, Loss  0.856289, Average Loss  0.866089, Time  0.459334
2021-09-10 08:15:15.937431 : Epoch  9, Batch   2472, Loss  0.903185, Average Loss  0.866294, Time  0.361027
2021-09-10 08:15:17.709097 : Epoch  9, Batch   2473, Loss  0.857916, Average Loss  0.866285, Time  0.365341
2021-09-10 08:15:19.535816 : Epoch  9, Batch   2474, Loss  0.859766, Average Loss  0.866204, Time  0.402749
2021-09-10 08:15:21.425946 : Epoch  9, Batch   2475, Loss  0.901598, Average Loss  0.866435, Time  0.454160
2021-09-10 08:15:23.219100 : Epoch  9, Batch   2476, Loss  0.845361, Average Loss  0.866240, Time  0.372394
2021-09-10 08:15:25.013944 : Epoch  9, Batch   2477, Loss  0.853592, Average Loss  0.866197, Time  0.365247
2021-09-10 08:15:26.817778 : Epoch  9, Batch   2478, Loss  0.873375, Average Loss  0.866264, Time  0.379827
2021-09-10 08:15:28.713230 : Epoch  9, Batch   2479, Loss  0.838380, Average Loss  0.866109, Time  0.457548
2021-09-10 08:15:30.537768 : Epoch  9, Batch   2480, Loss  0.891554, Average Loss  0.866338, Time  0.356683
2021-09-10 08:15:32.328842 : Epoch  9, Batch   2481, Loss  0.886300, Average Loss  0.866452, Time  0.356974
2021-09-10 08:15:34.123829 : Epoch  9, Batch   2482, Loss  0.876068, Average Loss  0.866423, Time  0.360882
2021-09-10 08:15:36.003771 : Epoch  9, Batch   2483, Loss  0.894489, Average Loss  0.866661, Time  0.461625
2021-09-10 08:15:37.777152 : Epoch  9, Batch   2484, Loss  0.874765, Average Loss  0.866852, Time  0.356745
2021-09-10 08:15:39.578163 : Epoch  9, Batch   2485, Loss  0.847342, Average Loss  0.866782, Time  0.367189
2021-09-10 08:15:41.375777 : Epoch  9, Batch   2486, Loss  0.852652, Average Loss  0.866492, Time  0.388446
2021-09-10 08:15:43.235687 : Epoch  9, Batch   2487, Loss  0.851664, Average Loss  0.866478, Time  0.462794
2021-09-10 08:15:44.992857 : Epoch  9, Batch   2488, Loss  0.865059, Average Loss  0.866463, Time  0.361382
2021-09-10 08:15:46.760041 : Epoch  9, Batch   2489, Loss  0.876731, Average Loss  0.866599, Time  0.356091
2021-09-10 08:15:48.590099 : Epoch  9, Batch   2490, Loss  0.867644, Average Loss  0.866609, Time  0.404410
2021-09-10 08:15:50.446106 : Epoch  9, Batch   2491, Loss  0.870620, Average Loss  0.866574, Time  0.451813
2021-09-10 08:15:52.257776 : Epoch  9, Batch   2492, Loss  0.893168, Average Loss  0.866630, Time  0.356755
2021-09-10 08:15:54.061791 : Epoch  9, Batch   2493, Loss  0.855998, Average Loss  0.866493, Time  0.358724
2021-09-10 08:15:55.872781 : Epoch  9, Batch   2494, Loss  0.909386, Average Loss  0.866489, Time  0.363351
2021-09-10 08:15:57.766798 : Epoch  9, Batch   2495, Loss  0.863526, Average Loss  0.866371, Time  0.451995
2021-09-10 08:15:59.586781 : Epoch  9, Batch   2496, Loss  0.852587, Average Loss  0.866307, Time  0.365488
2021-09-10 08:16:01.354061 : Epoch  9, Batch   2497, Loss  0.854739, Average Loss  0.866369, Time  0.318454
2021-09-10 08:16:03.177776 : Epoch  9, Batch   2498, Loss  0.867662, Average Loss  0.866409, Time  0.355493
2021-09-10 08:16:04.974065 : Epoch  9, Batch   2499, Loss  0.856932, Average Loss  0.866256, Time  0.355525
2021-09-10 08:16:06.790837 : Epoch  9, Batch   2500, Loss  0.859329, Average Loss  0.866355, Time  0.375978
2021-09-10 08:16:08.684085 : Epoch  9, Batch   2501, Loss  0.876739, Average Loss  0.866335, Time  0.454299
2021-09-10 08:16:10.476765 : Epoch  9, Batch   2502, Loss  0.853594, Average Loss  0.866196, Time  0.356230
2021-09-10 08:16:12.256168 : Epoch  9, Batch   2503, Loss  0.859593, Average Loss  0.866161, Time  0.354260
2021-09-10 08:16:14.064775 : Epoch  9, Batch   2504, Loss  0.879373, Average Loss  0.866222, Time  0.381332
2021-09-10 08:16:15.951909 : Epoch  9, Batch   2505, Loss  0.871988, Average Loss  0.866249, Time  0.452670
2021-09-10 08:16:17.755848 : Epoch  9, Batch   2506, Loss  0.882297, Average Loss  0.866393, Time  0.355736
2021-09-10 08:16:19.556777 : Epoch  9, Batch   2507, Loss  0.877185, Average Loss  0.866499, Time  0.359610
2021-09-10 08:16:21.392823 : Epoch  9, Batch   2508, Loss  0.850566, Average Loss  0.866511, Time  0.375178
2021-09-10 08:16:23.277774 : Epoch  9, Batch   2509, Loss  0.865296, Average Loss  0.866608, Time  0.461536
2021-09-10 08:16:25.148439 : Epoch  9, Batch   2510, Loss  0.888461, Average Loss  0.866886, Time  0.396586
2021-09-10 08:16:26.928829 : Epoch  9, Batch   2511, Loss  0.869218, Average Loss  0.866963, Time  0.357291
2021-09-10 08:16:28.704886 : Epoch  9, Batch   2512, Loss  0.858357, Average Loss  0.866866, Time  0.356840
2021-09-10 08:21:20.046735 : CheckPoint: Validation Loss  0.00058992, Best Loss  0.00056427
2021-09-10 08:21:21.900763 : Epoch  9, Batch   2513, Loss  0.868282, Average Loss  0.866795, Time  0.408452
2021-09-10 08:21:23.768252 : Epoch  9, Batch   2514, Loss  0.859867, Average Loss  0.866787, Time  0.451685
2021-09-10 08:21:25.544823 : Epoch  9, Batch   2515, Loss  0.846512, Average Loss  0.866858, Time  0.355917
2021-09-10 08:21:27.354775 : Epoch  9, Batch   2516, Loss  0.852371, Average Loss  0.866917, Time  0.366621
2021-09-10 08:21:29.177203 : Epoch  9, Batch   2517, Loss  0.876965, Average Loss  0.866799, Time  0.371371
2021-09-10 08:21:31.080109 : Epoch  9, Batch   2518, Loss  0.868620, Average Loss  0.866753, Time  0.462256
2021-09-10 08:21:32.851782 : Epoch  9, Batch   2519, Loss  0.860120, Average Loss  0.866570, Time  0.357503
2021-09-10 08:21:34.647779 : Epoch  9, Batch   2520, Loss  0.890358, Average Loss  0.866587, Time  0.367239
2021-09-10 08:21:36.465104 : Epoch  9, Batch   2521, Loss  0.898231, Average Loss  0.866745, Time  0.363528
2021-09-10 08:21:38.353771 : Epoch  9, Batch   2522, Loss  0.876099, Average Loss  0.866772, Time  0.462233
2021-09-10 08:21:40.160104 : Epoch  9, Batch   2523, Loss  0.865933, Average Loss  0.866792, Time  0.382459
2021-09-10 08:21:41.922776 : Epoch  9, Batch   2524, Loss  0.887768, Average Loss  0.866907, Time  0.357723
2021-09-10 08:21:43.736209 : Epoch  9, Batch   2525, Loss  0.887542, Average Loss  0.867143, Time  0.369403
2021-09-10 08:21:45.610108 : Epoch  9, Batch   2526, Loss  0.882049, Average Loss  0.867175, Time  0.452218
2021-09-10 08:21:47.487076 : Epoch  9, Batch   2527, Loss  0.865462, Average Loss  0.867298, Time  0.444499
2021-09-10 08:21:49.282788 : Epoch  9, Batch   2528, Loss  0.913638, Average Loss  0.867626, Time  0.358280
2021-09-10 08:21:51.073099 : Epoch  9, Batch   2529, Loss  0.891390, Average Loss  0.867694, Time  0.360196
2021-09-10 08:21:52.936782 : Epoch  9, Batch   2530, Loss  0.894335, Average Loss  0.867834, Time  0.408823
2021-09-10 08:21:54.818518 : Epoch  9, Batch   2531, Loss  0.862330, Average Loss  0.867986, Time  0.455534
2021-09-10 08:21:56.597508 : Epoch  9, Batch   2532, Loss  0.897975, Average Loss  0.868091, Time  0.369969
2021-09-10 08:21:58.379947 : Epoch  9, Batch   2533, Loss  0.837202, Average Loss  0.867935, Time  0.368250
2021-09-10 08:22:00.205025 : Epoch  9, Batch   2534, Loss  0.829421, Average Loss  0.867771, Time  0.365024
2021-09-10 08:22:02.095226 : Epoch  9, Batch   2535, Loss  0.903814, Average Loss  0.867934, Time  0.464521
2021-09-10 08:22:03.889773 : Epoch  9, Batch   2536, Loss  0.861025, Average Loss  0.867999, Time  0.347910
2021-09-10 08:22:05.692803 : Epoch  9, Batch   2537, Loss  0.898188, Average Loss  0.868283, Time  0.370073
2021-09-10 08:22:07.478188 : Epoch  9, Batch   2538, Loss  0.853247, Average Loss  0.868174, Time  0.364264
2021-09-10 08:22:09.344785 : Epoch  9, Batch   2539, Loss  0.850601, Average Loss  0.868150, Time  0.451580
2021-09-10 08:22:11.147913 : Epoch  9, Batch   2540, Loss  0.854283, Average Loss  0.868075, Time  0.372746
2021-09-10 08:22:12.927779 : Epoch  9, Batch   2541, Loss  0.866374, Average Loss  0.868083, Time  0.357963
2021-09-10 08:22:14.740107 : Epoch  9, Batch   2542, Loss  0.876962, Average Loss  0.868192, Time  0.370926
2021-09-10 08:22:16.651782 : Epoch  9, Batch   2543, Loss  0.859611, Average Loss  0.868167, Time  0.455061
2021-09-10 08:22:18.499777 : Epoch  9, Batch   2544, Loss  0.847873, Average Loss  0.868011, Time  0.415894
2021-09-10 08:22:20.303098 : Epoch  9, Batch   2545, Loss  0.859625, Average Loss  0.868082, Time  0.361201
2021-09-10 08:22:22.072818 : Epoch  9, Batch   2546, Loss  0.871919, Average Loss  0.868181, Time  0.358409
2021-09-10 08:22:23.951926 : Epoch  9, Batch   2547, Loss  0.884886, Average Loss  0.868199, Time  0.440796
2021-09-10 08:22:25.846771 : Epoch  9, Batch   2548, Loss  0.890413, Average Loss  0.868317, Time  0.462494
2021-09-10 08:22:27.643831 : Epoch  9, Batch   2549, Loss  0.861426, Average Loss  0.868230, Time  0.356640
2021-09-10 08:22:29.449055 : Epoch  9, Batch   2550, Loss  0.855197, Average Loss  0.868152, Time  0.357138
2021-09-10 08:22:31.239034 : Epoch  9, Batch   2551, Loss  0.886020, Average Loss  0.868178, Time  0.374777
2021-09-10 08:22:33.117035 : Epoch  9, Batch   2552, Loss  0.856386, Average Loss  0.868105, Time  0.460606
2021-09-10 08:22:34.891238 : Epoch  9, Batch   2553, Loss  0.840923, Average Loss  0.867804, Time  0.357658
2021-09-10 08:22:36.657779 : Epoch  9, Batch   2554, Loss  0.844169, Average Loss  0.867666, Time  0.356709
2021-09-10 08:22:38.470231 : Epoch  9, Batch   2555, Loss  0.879402, Average Loss  0.867682, Time  0.399733
2021-09-10 08:22:40.338362 : Epoch  9, Batch   2556, Loss  0.863380, Average Loss  0.867572, Time  0.458502
2021-09-10 08:22:42.133097 : Epoch  9, Batch   2557, Loss  0.867791, Average Loss  0.867483, Time  0.362558
2021-09-10 08:22:43.914775 : Epoch  9, Batch   2558, Loss  0.824119, Average Loss  0.867222, Time  0.357263
2021-09-10 08:22:45.704111 : Epoch  9, Batch   2559, Loss  0.847129, Average Loss  0.867031, Time  0.372810
2021-09-10 08:22:47.613777 : Epoch  9, Batch   2560, Loss  0.881083, Average Loss  0.867225, Time  0.460174
2021-09-10 08:22:49.384023 : Epoch  9, Batch   2561, Loss  0.878534, Average Loss  0.867284, Time  0.336424
2021-09-10 08:22:51.155787 : Epoch  9, Batch   2562, Loss  0.863223, Average Loss  0.867425, Time  0.363294
2021-09-10 08:22:52.950815 : Epoch  9, Batch   2563, Loss  0.866342, Average Loss  0.867364, Time  0.370920
2021-09-10 08:22:54.822026 : Epoch  9, Batch   2564, Loss  0.855196, Average Loss  0.867413, Time  0.458051
2021-09-10 08:22:56.599938 : Epoch  9, Batch   2565, Loss  0.853908, Average Loss  0.867431, Time  0.363714
2021-09-10 08:22:58.362816 : Epoch  9, Batch   2566, Loss  0.882708, Average Loss  0.867448, Time  0.356776
2021-09-10 08:23:00.186990 : Epoch  9, Batch   2567, Loss  0.876577, Average Loss  0.867484, Time  0.403711
2021-09-10 08:23:02.077110 : Epoch  9, Batch   2568, Loss  0.843367, Average Loss  0.867228, Time  0.457759
2021-09-10 08:23:03.954899 : Epoch  9, Batch   2569, Loss  0.876945, Average Loss  0.867132, Time  0.411231
2021-09-10 08:23:05.750123 : Epoch  9, Batch   2570, Loss  0.848741, Average Loss  0.867082, Time  0.367735
2021-09-10 08:23:07.526822 : Epoch  9, Batch   2571, Loss  0.861242, Average Loss  0.867154, Time  0.356515
2021-09-10 08:23:09.394764 : Epoch  9, Batch   2572, Loss  0.862916, Average Loss  0.867190, Time  0.434338
2021-09-10 08:23:11.272756 : Epoch  9, Batch   2573, Loss  0.913020, Average Loss  0.867470, Time  0.454955
2021-09-10 08:23:13.056780 : Epoch  9, Batch   2574, Loss  0.859127, Average Loss  0.867493, Time  0.376828
2021-09-10 08:23:14.848106 : Epoch  9, Batch   2575, Loss  0.863355, Average Loss  0.867559, Time  0.363351
2021-09-10 08:23:16.669817 : Epoch  9, Batch   2576, Loss  0.857544, Average Loss  0.867497, Time  0.377904
2021-09-10 08:23:18.573141 : Epoch  9, Batch   2577, Loss  0.859343, Average Loss  0.867494, Time  0.459669
2021-09-10 08:23:20.376774 : Epoch  9, Batch   2578, Loss  0.869463, Average Loss  0.867411, Time  0.356769
2021-09-10 08:23:22.198786 : Epoch  9, Batch   2579, Loss  0.847978, Average Loss  0.867374, Time  0.363690
2021-09-10 08:23:23.982774 : Epoch  9, Batch   2580, Loss  0.853293, Average Loss  0.867343, Time  0.363847
2021-09-10 08:23:25.866240 : Epoch  9, Batch   2581, Loss  0.829770, Average Loss  0.867190, Time  0.457579
2021-09-10 08:23:27.630287 : Epoch  9, Batch   2582, Loss  0.889979, Average Loss  0.867193, Time  0.357189
2021-09-10 08:23:29.417729 : Epoch  9, Batch   2583, Loss  0.903542, Average Loss  0.867392, Time  0.358851
2021-09-10 08:23:31.230441 : Epoch  9, Batch   2584, Loss  0.857345, Average Loss  0.867460, Time  0.390642
2021-09-10 08:23:33.112776 : Epoch  9, Batch   2585, Loss  0.886747, Average Loss  0.867521, Time  0.463060
2021-09-10 08:23:34.908110 : Epoch  9, Batch   2586, Loss  0.866064, Average Loss  0.867626, Time  0.359964
2021-09-10 08:23:36.692764 : Epoch  9, Batch   2587, Loss  0.855588, Average Loss  0.867484, Time  0.359449
2021-09-10 08:23:38.475232 : Epoch  9, Batch   2588, Loss  0.867746, Average Loss  0.867583, Time  0.373767
2021-09-10 08:23:40.363612 : Epoch  9, Batch   2589, Loss  0.860546, Average Loss  0.867670, Time  0.451710
2021-09-10 08:23:42.142140 : Epoch  9, Batch   2590, Loss  0.870396, Average Loss  0.867568, Time  0.366311
2021-09-10 08:23:43.901866 : Epoch  9, Batch   2591, Loss  0.885755, Average Loss  0.867595, Time  0.357700
2021-09-10 08:23:45.709105 : Epoch  9, Batch   2592, Loss  0.857751, Average Loss  0.867603, Time  0.375392
2021-09-10 08:23:47.576913 : Epoch  9, Batch   2593, Loss  0.864196, Average Loss  0.867670, Time  0.453947
2021-09-10 08:23:49.335446 : Epoch  9, Batch   2594, Loss  0.871589, Average Loss  0.867655, Time  0.357147
2021-09-10 08:23:51.103119 : Epoch  9, Batch   2595, Loss  0.859289, Average Loss  0.867629, Time  0.364207
2021-09-10 08:23:52.904764 : Epoch  9, Batch   2596, Loss  0.846144, Average Loss  0.867590, Time  0.398253
2021-09-10 08:23:54.776095 : Epoch  9, Batch   2597, Loss  0.904077, Average Loss  0.867528, Time  0.462171
2021-09-10 08:23:56.554775 : Epoch  9, Batch   2598, Loss  0.882473, Average Loss  0.867525, Time  0.362195
2021-09-10 08:23:58.344790 : Epoch  9, Batch   2599, Loss  0.891818, Average Loss  0.867602, Time  0.357569
2021-09-10 08:24:00.164777 : Epoch  9, Batch   2600, Loss  0.874532, Average Loss  0.867714, Time  0.382310
2021-09-10 08:24:02.031636 : Epoch  9, Batch   2601, Loss  0.858591, Average Loss  0.867729, Time  0.454305
2021-09-10 08:24:03.811774 : Epoch  9, Batch   2602, Loss  0.870712, Average Loss  0.867710, Time  0.362824
2021-09-10 08:24:05.585966 : Epoch  9, Batch   2603, Loss  0.867533, Average Loss  0.867545, Time  0.355723
2021-09-10 08:24:07.382589 : Epoch  9, Batch   2604, Loss  0.867094, Average Loss  0.867311, Time  0.390436
2021-09-10 08:24:09.253090 : Epoch  9, Batch   2605, Loss  0.880780, Average Loss  0.867350, Time  0.455663
2021-09-10 08:24:11.039778 : Epoch  9, Batch   2606, Loss  0.873818, Average Loss  0.867293, Time  0.357107
2021-09-10 08:24:12.839958 : Epoch  9, Batch   2607, Loss  0.879602, Average Loss  0.867283, Time  0.365316
2021-09-10 08:24:14.640773 : Epoch  9, Batch   2608, Loss  0.838602, Average Loss  0.867323, Time  0.392902
2021-09-10 08:24:16.500831 : Epoch  9, Batch   2609, Loss  0.877526, Average Loss  0.867389, Time  0.459501
2021-09-10 08:24:18.281776 : Epoch  9, Batch   2610, Loss  0.880587, Average Loss  0.867468, Time  0.371940
2021-09-10 08:24:20.051103 : Epoch  9, Batch   2611, Loss  0.870581, Average Loss  0.867482, Time  0.365169
2021-09-10 08:24:21.895108 : Epoch  9, Batch   2612, Loss  0.862477, Average Loss  0.867404, Time  0.385534
2021-09-10 08:29:13.089706 : CheckPoint: Validation Loss  0.00060692, Best Loss  0.00056427
2021-09-10 08:29:14.938764 : Epoch  9, Batch   2613, Loss  0.863138, Average Loss  0.867381, Time  0.410346
2021-09-10 08:29:16.825061 : Epoch  9, Batch   2614, Loss  0.881428, Average Loss  0.867397, Time  0.464316
2021-09-10 08:29:18.621814 : Epoch  9, Batch   2615, Loss  0.867540, Average Loss  0.867500, Time  0.347129
2021-09-10 08:29:20.406091 : Epoch  9, Batch   2616, Loss  0.885763, Average Loss  0.867706, Time  0.356666
2021-09-10 08:29:22.202775 : Epoch  9, Batch   2617, Loss  0.883780, Average Loss  0.867641, Time  0.358773
2021-09-10 08:29:24.082767 : Epoch  9, Batch   2618, Loss  0.873522, Average Loss  0.867700, Time  0.448406
2021-09-10 08:29:25.849780 : Epoch  9, Batch   2619, Loss  0.838294, Average Loss  0.867424, Time  0.358861
2021-09-10 08:29:27.654774 : Epoch  9, Batch   2620, Loss  0.873063, Average Loss  0.867452, Time  0.359186
2021-09-10 08:29:29.462383 : Epoch  9, Batch   2621, Loss  0.865400, Average Loss  0.867557, Time  0.394043
2021-09-10 08:29:31.315099 : Epoch  9, Batch   2622, Loss  0.881503, Average Loss  0.867718, Time  0.449037
2021-09-10 08:29:33.118769 : Epoch  9, Batch   2623, Loss  0.901064, Average Loss  0.867955, Time  0.355526
2021-09-10 08:29:34.896772 : Epoch  9, Batch   2624, Loss  0.855038, Average Loss  0.867928, Time  0.356597
2021-09-10 08:29:36.693182 : Epoch  9, Batch   2625, Loss  0.855097, Average Loss  0.867942, Time  0.375611
2021-09-10 08:29:38.543942 : Epoch  9, Batch   2626, Loss  0.894127, Average Loss  0.868322, Time  0.451702
2021-09-10 08:29:40.307760 : Epoch  9, Batch   2627, Loss  0.864841, Average Loss  0.868396, Time  0.356885
2021-09-10 08:29:42.078773 : Epoch  9, Batch   2628, Loss  0.887103, Average Loss  0.868486, Time  0.356624
2021-09-10 08:29:43.898786 : Epoch  9, Batch   2629, Loss  0.823780, Average Loss  0.868161, Time  0.391589
2021-09-10 08:29:45.781871 : Epoch  9, Batch   2630, Loss  0.878870, Average Loss  0.868267, Time  0.452075
2021-09-10 08:29:47.566773 : Epoch  9, Batch   2631, Loss  0.876552, Average Loss  0.868299, Time  0.363603
2021-09-10 08:29:49.374772 : Epoch  9, Batch   2632, Loss  0.885365, Average Loss  0.868513, Time  0.365356
2021-09-10 08:29:51.166813 : Epoch  9, Batch   2633, Loss  0.855945, Average Loss  0.868526, Time  0.375010
2021-09-10 08:29:53.091761 : Epoch  9, Batch   2634, Loss  0.863876, Average Loss  0.868508, Time  0.452823
2021-09-10 08:29:54.913220 : Epoch  9, Batch   2635, Loss  0.856282, Average Loss  0.868477, Time  0.386155
2021-09-10 08:29:56.709165 : Epoch  9, Batch   2636, Loss  0.875520, Average Loss  0.868512, Time  0.361443
2021-09-10 08:29:58.488793 : Epoch  9, Batch   2637, Loss  0.866853, Average Loss  0.868602, Time  0.355523
2021-09-10 08:30:00.394077 : Epoch  9, Batch   2638, Loss  0.836311, Average Loss  0.868421, Time  0.451290
2021-09-10 08:30:02.267762 : Epoch  9, Batch   2639, Loss  0.853796, Average Loss  0.868427, Time  0.448287
2021-09-10 08:30:04.064769 : Epoch  9, Batch   2640, Loss  0.846397, Average Loss  0.868286, Time  0.358575
2021-09-10 08:30:05.878782 : Epoch  9, Batch   2641, Loss  0.853897, Average Loss  0.868236, Time  0.356040
2021-09-10 08:30:07.709907 : Epoch  9, Batch   2642, Loss  0.869591, Average Loss  0.868258, Time  0.386706
2021-09-10 08:30:09.589764 : Epoch  9, Batch   2643, Loss  0.847704, Average Loss  0.868177, Time  0.452193
2021-09-10 08:30:11.396776 : Epoch  9, Batch   2644, Loss  0.875152, Average Loss  0.868198, Time  0.370308
2021-09-10 08:30:13.231776 : Epoch  9, Batch   2645, Loss  0.852362, Average Loss  0.868216, Time  0.360021
2021-09-10 08:30:15.032779 : Epoch  9, Batch   2646, Loss  0.875041, Average Loss  0.868127, Time  0.358975
2021-09-10 08:30:16.920779 : Epoch  9, Batch   2647, Loss  0.861853, Average Loss  0.868070, Time  0.449633
2021-09-10 08:30:18.697710 : Epoch  9, Batch   2648, Loss  0.843036, Average Loss  0.868052, Time  0.347708
2021-09-10 08:30:20.500813 : Epoch  9, Batch   2649, Loss  0.899955, Average Loss  0.868133, Time  0.357352
2021-09-10 08:30:22.281776 : Epoch  9, Batch   2650, Loss  0.889576, Average Loss  0.868260, Time  0.355822
2021-09-10 08:30:24.165794 : Epoch  9, Batch   2651, Loss  0.880626, Average Loss  0.868412, Time  0.450597
2021-09-10 08:30:26.027973 : Epoch  9, Batch   2652, Loss  0.897229, Average Loss  0.868609, Time  0.427670
2021-09-10 08:30:27.828783 : Epoch  9, Batch   2653, Loss  0.873671, Average Loss  0.868681, Time  0.366457
2021-09-10 08:30:29.605029 : Epoch  9, Batch   2654, Loss  0.899710, Average Loss  0.868818, Time  0.357951
2021-09-10 08:30:31.470768 : Epoch  9, Batch   2655, Loss  0.868037, Average Loss  0.868712, Time  0.443809
2021-09-10 08:30:33.366967 : Epoch  9, Batch   2656, Loss  0.874594, Average Loss  0.868781, Time  0.468724
2021-09-10 08:30:35.148777 : Epoch  9, Batch   2657, Loss  0.866351, Average Loss  0.868752, Time  0.336797
2021-09-10 08:30:36.919787 : Epoch  9, Batch   2658, Loss  0.851400, Average Loss  0.868561, Time  0.356319
2021-09-10 08:30:38.685816 : Epoch  9, Batch   2659, Loss  0.870817, Average Loss  0.868482, Time  0.369600
2021-09-10 08:30:40.550801 : Epoch  9, Batch   2660, Loss  0.885441, Average Loss  0.868708, Time  0.450684
2021-09-10 08:30:42.351783 : Epoch  9, Batch   2661, Loss  0.888673, Average Loss  0.868719, Time  0.349159
2021-09-10 08:30:44.148078 : Epoch  9, Batch   2662, Loss  0.826050, Average Loss  0.868664, Time  0.357213
2021-09-10 08:30:45.941774 : Epoch  9, Batch   2663, Loss  0.872200, Average Loss  0.868544, Time  0.361086
2021-09-10 08:30:47.832777 : Epoch  9, Batch   2664, Loss  0.880471, Average Loss  0.868558, Time  0.451776
2021-09-10 08:30:49.624759 : Epoch  9, Batch   2665, Loss  0.871400, Average Loss  0.868703, Time  0.351268
2021-09-10 08:30:51.438786 : Epoch  9, Batch   2666, Loss  0.852989, Average Loss  0.868566, Time  0.357615
2021-09-10 08:30:53.219771 : Epoch  9, Batch   2667, Loss  0.877080, Average Loss  0.868571, Time  0.363407
2021-09-10 08:30:55.135778 : Epoch  9, Batch   2668, Loss  0.837522, Average Loss  0.868359, Time  0.454299
2021-09-10 08:30:57.016946 : Epoch  9, Batch   2669, Loss  0.872302, Average Loss  0.868517, Time  0.444496
2021-09-10 08:30:58.808765 : Epoch  9, Batch   2670, Loss  0.867522, Average Loss  0.868536, Time  0.371417
2021-09-10 08:31:00.581635 : Epoch  9, Batch   2671, Loss  0.867686, Average Loss  0.868593, Time  0.362239
2021-09-10 08:31:02.405019 : Epoch  9, Batch   2672, Loss  0.880544, Average Loss  0.868480, Time  0.410536
2021-09-10 08:31:04.294819 : Epoch  9, Batch   2673, Loss  0.851298, Average Loss  0.868447, Time  0.453518
2021-09-10 08:31:06.097765 : Epoch  9, Batch   2674, Loss  0.870423, Average Loss  0.868500, Time  0.359109
2021-09-10 08:31:07.907064 : Epoch  9, Batch   2675, Loss  0.888223, Average Loss  0.868433, Time  0.357223
2021-09-10 08:31:09.718789 : Epoch  9, Batch   2676, Loss  0.861511, Average Loss  0.868514, Time  0.373905
2021-09-10 08:31:11.600682 : Epoch  9, Batch   2677, Loss  0.858245, Average Loss  0.868537, Time  0.455681
2021-09-10 08:31:13.406818 : Epoch  9, Batch   2678, Loss  0.880438, Average Loss  0.868573, Time  0.382982
2021-09-10 08:31:15.188416 : Epoch  9, Batch   2679, Loss  0.864285, Average Loss  0.868702, Time  0.364562
2021-09-10 08:31:16.989764 : Epoch  9, Batch   2680, Loss  0.876953, Average Loss  0.868629, Time  0.361005
2021-09-10 08:31:18.884072 : Epoch  9, Batch   2681, Loss  0.861573, Average Loss  0.868505, Time  0.451010
2021-09-10 08:31:20.631496 : Epoch  9, Batch   2682, Loss  0.890495, Average Loss  0.868578, Time  0.336270
2021-09-10 08:31:22.410779 : Epoch  9, Batch   2683, Loss  0.859912, Average Loss  0.868405, Time  0.358371
2021-09-10 08:31:24.221078 : Epoch  9, Batch   2684, Loss  0.878556, Average Loss  0.868424, Time  0.359098
2021-09-10 08:31:26.105783 : Epoch  9, Batch   2685, Loss  0.879004, Average Loss  0.868582, Time  0.450562
2021-09-10 08:31:27.913774 : Epoch  9, Batch   2686, Loss  0.856546, Average Loss  0.868601, Time  0.359028
2021-09-10 08:31:29.715772 : Epoch  9, Batch   2687, Loss  0.878959, Average Loss  0.868738, Time  0.358055
2021-09-10 08:31:31.509930 : Epoch  9, Batch   2688, Loss  0.859108, Average Loss  0.868708, Time  0.362279
2021-09-10 08:31:33.401181 : Epoch  9, Batch   2689, Loss  0.878629, Average Loss  0.868718, Time  0.450748
2021-09-10 08:31:35.189078 : Epoch  9, Batch   2690, Loss  0.869434, Average Loss  0.868727, Time  0.356262
2021-09-10 08:31:36.977783 : Epoch  9, Batch   2691, Loss  0.844619, Average Loss  0.868597, Time  0.358437
2021-09-10 08:31:38.793782 : Epoch  9, Batch   2692, Loss  0.864713, Average Loss  0.868454, Time  0.364060
2021-09-10 08:31:40.679836 : Epoch  9, Batch   2693, Loss  0.867099, Average Loss  0.868510, Time  0.453033
2021-09-10 08:31:42.471780 : Epoch  9, Batch   2694, Loss  0.874968, Average Loss  0.868338, Time  0.355944
2021-09-10 08:31:44.275773 : Epoch  9, Batch   2695, Loss  0.857982, Average Loss  0.868310, Time  0.357689
2021-09-10 08:31:46.069925 : Epoch  9, Batch   2696, Loss  0.890179, Average Loss  0.868498, Time  0.366980
2021-09-10 08:31:47.964777 : Epoch  9, Batch   2697, Loss  0.862878, Average Loss  0.868539, Time  0.453848
2021-09-10 08:31:49.857093 : Epoch  9, Batch   2698, Loss  0.839053, Average Loss  0.868396, Time  0.428232
2021-09-10 08:31:51.650780 : Epoch  9, Batch   2699, Loss  0.881252, Average Loss  0.868517, Time  0.357316
2021-09-10 08:31:53.418556 : Epoch  9, Batch   2700, Loss  0.871972, Average Loss  0.868580, Time  0.360252
2021-09-10 08:31:55.274055 : Epoch  9, Batch   2701, Loss  0.873232, Average Loss  0.868563, Time  0.429458
2021-09-10 08:31:57.169037 : Epoch  9, Batch   2702, Loss  0.842285, Average Loss  0.868506, Time  0.452765
2021-09-10 08:31:58.972075 : Epoch  9, Batch   2703, Loss  0.874728, Average Loss  0.868582, Time  0.357410
2021-09-10 08:32:00.764069 : Epoch  9, Batch   2704, Loss  0.903412, Average Loss  0.868702, Time  0.356471
2021-09-10 08:32:02.572079 : Epoch  9, Batch   2705, Loss  0.881809, Average Loss  0.868751, Time  0.369745
2021-09-10 08:32:04.446890 : Epoch  9, Batch   2706, Loss  0.885747, Average Loss  0.868769, Time  0.452459
2021-09-10 08:32:06.239081 : Epoch  9, Batch   2707, Loss  0.870080, Average Loss  0.868733, Time  0.356520
2021-09-10 08:32:08.023556 : Epoch  9, Batch   2708, Loss  0.888294, Average Loss  0.868922, Time  0.359679
2021-09-10 08:32:09.814220 : Epoch  9, Batch   2709, Loss  0.860792, Average Loss  0.868899, Time  0.376215
2021-09-10 08:32:11.686071 : Epoch  9, Batch   2710, Loss  0.891266, Average Loss  0.868913, Time  0.446967
2021-09-10 08:32:13.526760 : Epoch  9, Batch   2711, Loss  0.870773, Average Loss  0.868921, Time  0.357580
2021-09-10 08:32:15.303799 : Epoch  9, Batch   2712, Loss  0.863906, Average Loss  0.868949, Time  0.360787
2021-09-10 08:37:05.926720 : CheckPoint: Validation Loss  0.00060265, Best Loss  0.00056427
2021-09-10 08:37:07.814779 : Epoch  9, Batch   2713, Loss  0.857892, Average Loss  0.868897, Time  0.458933
2021-09-10 08:37:09.678767 : Epoch  9, Batch   2714, Loss  0.876497, Average Loss  0.868980, Time  0.431184
2021-09-10 08:37:11.438421 : Epoch  9, Batch   2715, Loss  0.834505, Average Loss  0.868920, Time  0.360376
2021-09-10 08:37:13.217771 : Epoch  9, Batch   2716, Loss  0.874762, Average Loss  0.869032, Time  0.364961
2021-09-10 08:37:15.064140 : Epoch  9, Batch   2717, Loss  0.876718, Average Loss  0.869031, Time  0.426479
2021-09-10 08:37:16.978776 : Epoch  9, Batch   2718, Loss  0.869907, Average Loss  0.869037, Time  0.457002
2021-09-10 08:37:18.796093 : Epoch  9, Batch   2719, Loss  0.845218, Average Loss  0.868963, Time  0.371225
2021-09-10 08:37:20.575776 : Epoch  9, Batch   2720, Loss  0.877558, Average Loss  0.868899, Time  0.363444
2021-09-10 08:37:22.369096 : Epoch  9, Batch   2721, Loss  0.881873, Average Loss  0.868817, Time  0.381216
2021-09-10 08:37:24.252763 : Epoch  9, Batch   2722, Loss  0.878064, Average Loss  0.868827, Time  0.464472
2021-09-10 08:37:26.017708 : Epoch  9, Batch   2723, Loss  0.841370, Average Loss  0.868704, Time  0.360435
2021-09-10 08:37:27.784764 : Epoch  9, Batch   2724, Loss  0.833538, Average Loss  0.868433, Time  0.356628
2021-09-10 08:37:29.570057 : Epoch  9, Batch   2725, Loss  0.885879, Average Loss  0.868424, Time  0.387881
2021-09-10 08:37:31.453775 : Epoch  9, Batch   2726, Loss  0.827332, Average Loss  0.868151, Time  0.453442
2021-09-10 08:37:33.247782 : Epoch  9, Batch   2727, Loss  0.883869, Average Loss  0.868243, Time  0.348138
2021-09-10 08:37:35.019780 : Epoch  9, Batch   2728, Loss  0.880104, Average Loss  0.868075, Time  0.358207
2021-09-10 08:37:36.813079 : Epoch  9, Batch   2729, Loss  0.863298, Average Loss  0.867935, Time  0.358625
2021-09-10 08:37:38.703822 : Epoch  9, Batch   2730, Loss  0.870523, Average Loss  0.867816, Time  0.451885
2021-09-10 08:37:40.520066 : Epoch  9, Batch   2731, Loss  0.842653, Average Loss  0.867717, Time  0.372241
2021-09-10 08:37:42.329085 : Epoch  9, Batch   2732, Loss  0.851332, Average Loss  0.867484, Time  0.359481
2021-09-10 08:37:44.106763 : Epoch  9, Batch   2733, Loss  0.851536, Average Loss  0.867556, Time  0.356904
2021-09-10 08:37:45.988822 : Epoch  9, Batch   2734, Loss  0.907599, Average Loss  0.867947, Time  0.447434
2021-09-10 08:37:47.906806 : Epoch  9, Batch   2735, Loss  0.869573, Average Loss  0.867775, Time  0.456861
2021-09-10 08:37:49.702779 : Epoch  9, Batch   2736, Loss  0.866307, Average Loss  0.867802, Time  0.365039
2021-09-10 08:37:51.500771 : Epoch  9, Batch   2737, Loss  0.883214, Average Loss  0.867727, Time  0.360305
2021-09-10 08:37:53.302777 : Epoch  9, Batch   2738, Loss  0.854922, Average Loss  0.867735, Time  0.377793
2021-09-10 08:37:55.177817 : Epoch  9, Batch   2739, Loss  0.878855, Average Loss  0.867877, Time  0.458133
2021-09-10 08:37:56.940781 : Epoch  9, Batch   2740, Loss  0.839555, Average Loss  0.867803, Time  0.356001
2021-09-10 08:37:58.729774 : Epoch  9, Batch   2741, Loss  0.870066, Average Loss  0.867821, Time  0.359053
2021-09-10 08:38:00.542777 : Epoch  9, Batch   2742, Loss  0.899667, Average Loss  0.867935, Time  0.379339
2021-09-10 08:38:02.438647 : Epoch  9, Batch   2743, Loss  0.870102, Average Loss  0.867987, Time  0.452835
2021-09-10 08:38:04.203553 : Epoch  9, Batch   2744, Loss  0.862737, Average Loss  0.868062, Time  0.367015
2021-09-10 08:38:05.994393 : Epoch  9, Batch   2745, Loss  0.901065, Average Loss  0.868269, Time  0.359735
2021-09-10 08:38:07.786770 : Epoch  9, Batch   2746, Loss  0.844333, Average Loss  0.868131, Time  0.380913
2021-09-10 08:38:09.673345 : Epoch  9, Batch   2747, Loss  0.862181, Average Loss  0.868017, Time  0.454838
2021-09-10 08:38:11.462848 : Epoch  9, Batch   2748, Loss  0.838368, Average Loss  0.867757, Time  0.338391
2021-09-10 08:38:13.245226 : Epoch  9, Batch   2749, Loss  0.863753, Average Loss  0.867769, Time  0.365543
2021-09-10 08:38:15.044777 : Epoch  9, Batch   2750, Loss  0.875416, Average Loss  0.867870, Time  0.357593
2021-09-10 08:38:16.914228 : Epoch  9, Batch   2751, Loss  0.866392, Average Loss  0.867772, Time  0.459819
2021-09-10 08:38:18.723103 : Epoch  9, Batch   2752, Loss  0.877839, Average Loss  0.867879, Time  0.351567
2021-09-10 08:38:20.495777 : Epoch  9, Batch   2753, Loss  0.859591, Average Loss  0.867972, Time  0.360955
2021-09-10 08:38:22.278098 : Epoch  9, Batch   2754, Loss  0.880016, Average Loss  0.868152, Time  0.355545
2021-09-10 08:38:24.155762 : Epoch  9, Batch   2755, Loss  0.858796, Average Loss  0.868049, Time  0.453532
2021-09-10 08:38:26.007245 : Epoch  9, Batch   2756, Loss  0.855755, Average Loss  0.868010, Time  0.420830
2021-09-10 08:38:27.795911 : Epoch  9, Batch   2757, Loss  0.873734, Average Loss  0.868040, Time  0.361584
2021-09-10 08:38:29.553994 : Epoch  9, Batch   2758, Loss  0.883187, Average Loss  0.868335, Time  0.356489
2021-09-10 08:38:31.427774 : Epoch  9, Batch   2759, Loss  0.866597, Average Loss  0.868433, Time  0.461875
2021-09-10 08:38:33.331012 : Epoch  9, Batch   2760, Loss  0.877282, Average Loss  0.868414, Time  0.467949
2021-09-10 08:38:35.125104 : Epoch  9, Batch   2761, Loss  0.855655, Average Loss  0.868299, Time  0.353845
2021-09-10 08:38:36.906226 : Epoch  9, Batch   2762, Loss  0.844477, Average Loss  0.868206, Time  0.364344
2021-09-10 08:38:38.684842 : Epoch  9, Batch   2763, Loss  0.860830, Average Loss  0.868178, Time  0.367519
2021-09-10 08:38:40.561776 : Epoch  9, Batch   2764, Loss  0.870223, Average Loss  0.868253, Time  0.452760
2021-09-10 08:38:42.364761 : Epoch  9, Batch   2765, Loss  0.858035, Average Loss  0.868274, Time  0.356883
2021-09-10 08:38:44.167851 : Epoch  9, Batch   2766, Loss  0.832783, Average Loss  0.868024, Time  0.357182
2021-09-10 08:38:45.975781 : Epoch  9, Batch   2767, Loss  0.840434, Average Loss  0.867844, Time  0.358892
2021-09-10 08:38:47.875775 : Epoch  9, Batch   2768, Loss  0.886085, Average Loss  0.868057, Time  0.451079
2021-09-10 08:38:49.742803 : Epoch  9, Batch   2769, Loss  0.850471, Average Loss  0.867925, Time  0.411923
2021-09-10 08:38:51.530068 : Epoch  9, Batch   2770, Loss  0.850721, Average Loss  0.867935, Time  0.355560
2021-09-10 08:38:53.302875 : Epoch  9, Batch   2771, Loss  0.878611, Average Loss  0.868022, Time  0.356288
2021-09-10 08:38:55.192760 : Epoch  9, Batch   2772, Loss  0.895194, Average Loss  0.868183, Time  0.431468
2021-09-10 08:38:57.104814 : Epoch  9, Batch   2773, Loss  0.885724, Average Loss  0.868046, Time  0.451220
2021-09-10 08:38:58.880165 : Epoch  9, Batch   2774, Loss  0.872359, Average Loss  0.868113, Time  0.347262
2021-09-10 08:39:00.671783 : Epoch  9, Batch   2775, Loss  0.869651, Average Loss  0.868144, Time  0.356589
2021-09-10 08:39:02.464930 : Epoch  9, Batch   2776, Loss  0.839422, Average Loss  0.868053, Time  0.357066
2021-09-10 08:39:04.347947 : Epoch  9, Batch   2777, Loss  0.857653, Average Loss  0.868045, Time  0.451431
2021-09-10 08:39:06.191762 : Epoch  9, Batch   2778, Loss  0.852075, Average Loss  0.867958, Time  0.419256
2021-09-10 08:39:08.042760 : Epoch  9, Batch   2779, Loss  0.881937, Average Loss  0.868128, Time  0.379604
2021-09-10 08:39:09.831311 : Epoch  9, Batch   2780, Loss  0.845461, Average Loss  0.868089, Time  0.357944
2021-09-10 08:39:11.647260 : Epoch  9, Batch   2781, Loss  0.875985, Average Loss  0.868320, Time  0.417557
2021-09-10 08:39:13.541760 : Epoch  9, Batch   2782, Loss  0.887340, Average Loss  0.868307, Time  0.468968
2021-09-10 08:39:15.344771 : Epoch  9, Batch   2783, Loss  0.892820, Average Loss  0.868253, Time  0.359029
2021-09-10 08:39:17.144785 : Epoch  9, Batch   2784, Loss  0.869393, Average Loss  0.868313, Time  0.365274
2021-09-10 08:39:18.934819 : Epoch  9, Batch   2785, Loss  0.872039, Average Loss  0.868240, Time  0.371595
2021-09-10 08:39:20.795945 : Epoch  9, Batch   2786, Loss  0.872591, Average Loss  0.868272, Time  0.450612
2021-09-10 08:39:22.574489 : Epoch  9, Batch   2787, Loss  0.834133, Average Loss  0.868165, Time  0.358523
2021-09-10 08:39:24.345772 : Epoch  9, Batch   2788, Loss  0.863483, Average Loss  0.868144, Time  0.367431
2021-09-10 08:39:26.126092 : Epoch  9, Batch   2789, Loss  0.859050, Average Loss  0.868136, Time  0.380379
2021-09-10 08:39:28.002763 : Epoch  9, Batch   2790, Loss  0.858687, Average Loss  0.868078, Time  0.458217
2021-09-10 08:39:29.778775 : Epoch  9, Batch   2791, Loss  0.870759, Average Loss  0.868003, Time  0.358070
2021-09-10 08:39:31.559912 : Epoch  9, Batch   2792, Loss  0.871598, Average Loss  0.868072, Time  0.351482
2021-09-10 08:39:33.372779 : Epoch  9, Batch   2793, Loss  0.888243, Average Loss  0.868192, Time  0.367119
2021-09-10 08:39:35.266763 : Epoch  9, Batch   2794, Loss  0.886063, Average Loss  0.868265, Time  0.448114
2021-09-10 08:39:37.085779 : Epoch  9, Batch   2795, Loss  0.880624, Average Loss  0.868371, Time  0.382227
2021-09-10 08:39:38.894772 : Epoch  9, Batch   2796, Loss  0.884638, Average Loss  0.868564, Time  0.362703
2021-09-10 08:39:40.683776 : Epoch  9, Batch   2797, Loss  0.880304, Average Loss  0.868445, Time  0.360696
2021-09-10 08:39:42.571828 : Epoch  9, Batch   2798, Loss  0.866063, Average Loss  0.868363, Time  0.446088
2021-09-10 08:39:44.428111 : Epoch  9, Batch   2799, Loss  0.904577, Average Loss  0.868427, Time  0.451313
2021-09-10 08:39:46.223774 : Epoch  9, Batch   2800, Loss  0.854853, Average Loss  0.868328, Time  0.367293
2021-09-10 08:39:48.008088 : Epoch  9, Batch   2801, Loss  0.874509, Average Loss  0.868408, Time  0.356499
2021-09-10 08:39:49.847782 : Epoch  9, Batch   2802, Loss  0.857980, Average Loss  0.868344, Time  0.389846
2021-09-10 08:39:51.722240 : Epoch  9, Batch   2803, Loss  0.885707, Average Loss  0.868435, Time  0.455640
2021-09-10 08:39:53.519945 : Epoch  9, Batch   2804, Loss  0.878274, Average Loss  0.868491, Time  0.361213
2021-09-10 08:39:55.311765 : Epoch  9, Batch   2805, Loss  0.915979, Average Loss  0.868667, Time  0.363243
2021-09-10 08:39:57.110779 : Epoch  9, Batch   2806, Loss  0.874109, Average Loss  0.868668, Time  0.394546
2021-09-10 08:39:58.995807 : Epoch  9, Batch   2807, Loss  0.856232, Average Loss  0.868551, Time  0.448482
2021-09-10 08:40:00.793778 : Epoch  9, Batch   2808, Loss  0.859155, Average Loss  0.868654, Time  0.362063
2021-09-10 08:40:02.591917 : Epoch  9, Batch   2809, Loss  0.890724, Average Loss  0.868720, Time  0.359458
2021-09-10 08:40:04.413934 : Epoch  9, Batch   2810, Loss  0.857199, Average Loss  0.868603, Time  0.396589
2021-09-10 08:40:06.309774 : Epoch  9, Batch   2811, Loss  0.899465, Average Loss  0.868748, Time  0.454827
2021-09-10 08:40:08.089904 : Epoch  9, Batch   2812, Loss  0.874268, Average Loss  0.868807, Time  0.355721
2021-09-10 08:44:58.998721 : CheckPoint: Validation Loss  0.00059970, Best Loss  0.00056427
2021-09-10 08:45:00.826003 : Epoch  9, Batch   2813, Loss  0.870051, Average Loss  0.868841, Time  0.412576
2021-09-10 08:45:02.718777 : Epoch  9, Batch   2814, Loss  0.879849, Average Loss  0.868833, Time  0.454816
2021-09-10 08:45:04.517777 : Epoch  9, Batch   2815, Loss  0.904768, Average Loss  0.869019, Time  0.355254
2021-09-10 08:45:06.322765 : Epoch  9, Batch   2816, Loss  0.838073, Average Loss  0.868781, Time  0.358572
2021-09-10 08:45:08.143948 : Epoch  9, Batch   2817, Loss  0.857852, Average Loss  0.868651, Time  0.364504
2021-09-10 08:45:10.050766 : Epoch  9, Batch   2818, Loss  0.870462, Average Loss  0.868636, Time  0.452117
2021-09-10 08:45:11.825771 : Epoch  9, Batch   2819, Loss  0.859508, Average Loss  0.868742, Time  0.357257
2021-09-10 08:45:13.639772 : Epoch  9, Batch   2820, Loss  0.852038, Average Loss  0.868637, Time  0.358626
2021-09-10 08:45:15.463773 : Epoch  9, Batch   2821, Loss  0.869960, Average Loss  0.868660, Time  0.389989
2021-09-10 08:45:17.352766 : Epoch  9, Batch   2822, Loss  0.870771, Average Loss  0.868606, Time  0.453206
2021-09-10 08:45:19.160081 : Epoch  9, Batch   2823, Loss  0.889340, Average Loss  0.868548, Time  0.357220
2021-09-10 08:45:20.949773 : Epoch  9, Batch   2824, Loss  0.885938, Average Loss  0.868702, Time  0.357721
2021-09-10 08:45:22.766877 : Epoch  9, Batch   2825, Loss  0.860666, Average Loss  0.868730, Time  0.386994
2021-09-10 08:45:24.678112 : Epoch  9, Batch   2826, Loss  0.865908, Average Loss  0.868589, Time  0.461379
2021-09-10 08:45:26.534103 : Epoch  9, Batch   2827, Loss  0.874901, Average Loss  0.868639, Time  0.414859
2021-09-10 08:45:28.342073 : Epoch  9, Batch   2828, Loss  0.886976, Average Loss  0.868638, Time  0.367741
2021-09-10 08:45:30.120077 : Epoch  9, Batch   2829, Loss  0.902649, Average Loss  0.869033, Time  0.357750
2021-09-10 08:45:31.999780 : Epoch  9, Batch   2830, Loss  0.868207, Average Loss  0.868980, Time  0.425447
2021-09-10 08:45:33.899773 : Epoch  9, Batch   2831, Loss  0.871932, Average Loss  0.868956, Time  0.449811
2021-09-10 08:45:35.694990 : Epoch  9, Batch   2832, Loss  0.851163, Average Loss  0.868785, Time  0.336102
2021-09-10 08:45:37.500038 : Epoch  9, Batch   2833, Loss  0.867726, Average Loss  0.868844, Time  0.356453
2021-09-10 08:45:39.290828 : Epoch  9, Batch   2834, Loss  0.874863, Average Loss  0.868899, Time  0.367770
2021-09-10 08:45:41.183229 : Epoch  9, Batch   2835, Loss  0.843787, Average Loss  0.868837, Time  0.462590
2021-09-10 08:45:43.021100 : Epoch  9, Batch   2836, Loss  0.847246, Average Loss  0.868695, Time  0.415506
2021-09-10 08:45:44.800096 : Epoch  9, Batch   2837, Loss  0.879108, Average Loss  0.868757, Time  0.358521
2021-09-10 08:45:46.611777 : Epoch  9, Batch   2838, Loss  0.888826, Average Loss  0.869019, Time  0.356995
2021-09-10 08:45:48.486760 : Epoch  9, Batch   2839, Loss  0.849493, Average Loss  0.868998, Time  0.441199
2021-09-10 08:45:50.361077 : Epoch  9, Batch   2840, Loss  0.861547, Average Loss  0.869073, Time  0.454139
2021-09-10 08:45:52.158778 : Epoch  9, Batch   2841, Loss  0.870321, Average Loss  0.869156, Time  0.349216
2021-09-10 08:45:53.964080 : Epoch  9, Batch   2842, Loss  0.892436, Average Loss  0.869270, Time  0.358308
2021-09-10 08:45:55.745759 : Epoch  9, Batch   2843, Loss  0.899784, Average Loss  0.869530, Time  0.359303
2021-09-10 08:45:57.626819 : Epoch  9, Batch   2844, Loss  0.852293, Average Loss  0.869416, Time  0.459172
2021-09-10 08:45:59.387850 : Epoch  9, Batch   2845, Loss  0.849845, Average Loss  0.869403, Time  0.336132
2021-09-10 08:46:01.155777 : Epoch  9, Batch   2846, Loss  0.862793, Average Loss  0.869342, Time  0.365561
2021-09-10 08:46:02.939104 : Epoch  9, Batch   2847, Loss  0.867070, Average Loss  0.869368, Time  0.368541
2021-09-10 08:46:04.831774 : Epoch  9, Batch   2848, Loss  0.845775, Average Loss  0.869382, Time  0.464142
2021-09-10 08:46:06.692101 : Epoch  9, Batch   2849, Loss  0.876724, Average Loss  0.869266, Time  0.407095
2021-09-10 08:46:08.492772 : Epoch  9, Batch   2850, Loss  0.864257, Average Loss  0.869139, Time  0.358455
2021-09-10 08:46:10.295764 : Epoch  9, Batch   2851, Loss  0.884957, Average Loss  0.869161, Time  0.367238
2021-09-10 08:46:12.176760 : Epoch  9, Batch   2852, Loss  0.869970, Average Loss  0.869024, Time  0.448211
2021-09-10 08:46:14.064102 : Epoch  9, Batch   2853, Loss  0.873711, Average Loss  0.869025, Time  0.456795
2021-09-10 08:46:15.847774 : Epoch  9, Batch   2854, Loss  0.852877, Average Loss  0.868791, Time  0.370695
2021-09-10 08:46:17.638774 : Epoch  9, Batch   2855, Loss  0.855390, Average Loss  0.868727, Time  0.357735
2021-09-10 08:46:19.444813 : Epoch  9, Batch   2856, Loss  0.827697, Average Loss  0.868493, Time  0.384635
2021-09-10 08:46:21.310091 : Epoch  9, Batch   2857, Loss  0.885165, Average Loss  0.868587, Time  0.450428
2021-09-10 08:46:23.112077 : Epoch  9, Batch   2858, Loss  0.877589, Average Loss  0.868718, Time  0.356095
2021-09-10 08:46:24.901769 : Epoch  9, Batch   2859, Loss  0.870622, Average Loss  0.868717, Time  0.356716
2021-09-10 08:46:26.702104 : Epoch  9, Batch   2860, Loss  0.872615, Average Loss  0.868653, Time  0.380212
2021-09-10 08:46:28.588778 : Epoch  9, Batch   2861, Loss  0.840609, Average Loss  0.868412, Time  0.453663
2021-09-10 08:46:30.409986 : Epoch  9, Batch   2862, Loss  0.891703, Average Loss  0.868741, Time  0.377138
2021-09-10 08:46:32.194085 : Epoch  9, Batch   2863, Loss  0.866684, Average Loss  0.868713, Time  0.358430
2021-09-10 08:46:33.977773 : Epoch  9, Batch   2864, Loss  0.875976, Average Loss  0.868691, Time  0.360189
2021-09-10 08:46:35.878796 : Epoch  9, Batch   2865, Loss  0.848672, Average Loss  0.868577, Time  0.455886
2021-09-10 08:46:37.764759 : Epoch  9, Batch   2866, Loss  0.854673, Average Loss  0.868585, Time  0.447007
2021-09-10 08:46:39.535777 : Epoch  9, Batch   2867, Loss  0.885203, Average Loss  0.868626, Time  0.359934
2021-09-10 08:46:41.307115 : Epoch  9, Batch   2868, Loss  0.857961, Average Loss  0.868728, Time  0.357174
2021-09-10 08:46:43.181781 : Epoch  9, Batch   2869, Loss  0.845961, Average Loss  0.868597, Time  0.425366
2021-09-10 08:46:45.089776 : Epoch  9, Batch   2870, Loss  0.874685, Average Loss  0.868632, Time  0.468733
2021-09-10 08:46:46.960344 : Epoch  9, Batch   2871, Loss  0.852634, Average Loss  0.868557, Time  0.431730
2021-09-10 08:46:48.751780 : Epoch  9, Batch   2872, Loss  0.864546, Average Loss  0.868477, Time  0.364403
2021-09-10 08:46:50.533932 : Epoch  9, Batch   2873, Loss  0.866789, Average Loss  0.868555, Time  0.357602
2021-09-10 08:46:52.372779 : Epoch  9, Batch   2874, Loss  0.873804, Average Loss  0.868571, Time  0.432033
2021-09-10 08:46:54.233781 : Epoch  9, Batch   2875, Loss  0.883898, Average Loss  0.868550, Time  0.447175
2021-09-10 08:46:56.029761 : Epoch  9, Batch   2876, Loss  0.883563, Average Loss  0.868660, Time  0.359397
2021-09-10 08:46:57.840944 : Epoch  9, Batch   2877, Loss  0.861409, Average Loss  0.868676, Time  0.365353
2021-09-10 08:46:59.685094 : Epoch  9, Batch   2878, Loss  0.838700, Average Loss  0.868467, Time  0.375992
2021-09-10 08:47:01.575776 : Epoch  9, Batch   2879, Loss  0.841402, Average Loss  0.868353, Time  0.451007
2021-09-10 08:47:03.382777 : Epoch  9, Batch   2880, Loss  0.872635, Average Loss  0.868331, Time  0.369751
2021-09-10 08:47:05.183777 : Epoch  9, Batch   2881, Loss  0.868214, Average Loss  0.868364, Time  0.357693
2021-09-10 08:47:06.983788 : Epoch  9, Batch   2882, Loss  0.864473, Average Loss  0.868234, Time  0.357508
2021-09-10 08:47:08.871077 : Epoch  9, Batch   2883, Loss  0.852832, Average Loss  0.868199, Time  0.445585
2021-09-10 08:47:10.763806 : Epoch  9, Batch   2884, Loss  0.855818, Average Loss  0.868085, Time  0.450819
2021-09-10 08:47:12.534878 : Epoch  9, Batch   2885, Loss  0.873525, Average Loss  0.868058, Time  0.360650
2021-09-10 08:47:14.319781 : Epoch  9, Batch   2886, Loss  0.875038, Average Loss  0.868150, Time  0.356013
2021-09-10 08:47:16.154774 : Epoch  9, Batch   2887, Loss  0.843507, Average Loss  0.867973, Time  0.390446
2021-09-10 08:47:18.034774 : Epoch  9, Batch   2888, Loss  0.887622, Average Loss  0.868116, Time  0.452793
2021-09-10 08:47:19.824765 : Epoch  9, Batch   2889, Loss  0.861693, Average Loss  0.868031, Time  0.342645
2021-09-10 08:47:21.581781 : Epoch  9, Batch   2890, Loss  0.872167, Average Loss  0.868045, Time  0.358103
2021-09-10 08:47:23.347076 : Epoch  9, Batch   2891, Loss  0.872744, Average Loss  0.868185, Time  0.368151
2021-09-10 08:47:25.235841 : Epoch  9, Batch   2892, Loss  0.893048, Average Loss  0.868327, Time  0.452338
2021-09-10 08:47:27.030727 : Epoch  9, Batch   2893, Loss  0.836873, Average Loss  0.868176, Time  0.349235
2021-09-10 08:47:28.822761 : Epoch  9, Batch   2894, Loss  0.865043, Average Loss  0.868126, Time  0.366683
2021-09-10 08:47:30.604776 : Epoch  9, Batch   2895, Loss  0.868470, Average Loss  0.868179, Time  0.361013
2021-09-10 08:47:32.483761 : Epoch  9, Batch   2896, Loss  0.842462, Average Loss  0.867940, Time  0.461501
2021-09-10 08:47:34.272236 : Epoch  9, Batch   2897, Loss  0.874777, Average Loss  0.867999, Time  0.368448
2021-09-10 08:47:36.061773 : Epoch  9, Batch   2898, Loss  0.866565, Average Loss  0.868137, Time  0.358840
2021-09-10 08:47:37.863874 : Epoch  9, Batch   2899, Loss  0.852682, Average Loss  0.867994, Time  0.367205
2021-09-10 08:47:39.782914 : Epoch  9, Batch   2900, Loss  0.875913, Average Loss  0.868014, Time  0.465836
2021-09-10 08:47:41.656837 : Epoch  9, Batch   2901, Loss  0.880391, Average Loss  0.868050, Time  0.425691
2021-09-10 08:47:43.431937 : Epoch  9, Batch   2902, Loss  0.873630, Average Loss  0.868206, Time  0.356042
2021-09-10 08:47:45.225763 : Epoch  9, Batch   2903, Loss  0.858106, Average Loss  0.868123, Time  0.354744
2021-09-10 08:47:47.072087 : Epoch  9, Batch   2904, Loss  0.866940, Average Loss  0.867941, Time  0.425139
2021-09-10 08:47:48.927784 : Epoch  9, Batch   2905, Loss  0.867758, Average Loss  0.867871, Time  0.453784
2021-09-10 08:47:50.693868 : Epoch  9, Batch   2906, Loss  0.880115, Average Loss  0.867842, Time  0.356920
2021-09-10 08:47:52.454783 : Epoch  9, Batch   2907, Loss  0.851393, Average Loss  0.867749, Time  0.356753
2021-09-10 08:47:54.284063 : Epoch  9, Batch   2908, Loss  0.882236, Average Loss  0.867719, Time  0.405474
2021-09-10 08:47:56.173850 : Epoch  9, Batch   2909, Loss  0.838331, Average Loss  0.867606, Time  0.452693
2021-09-10 08:47:57.957909 : Epoch  9, Batch   2910, Loss  0.863344, Average Loss  0.867467, Time  0.348795
2021-09-10 08:47:59.803832 : Epoch  9, Batch   2911, Loss  0.874082, Average Loss  0.867483, Time  0.358368
2021-09-10 08:48:01.597780 : Epoch  9, Batch   2912, Loss  0.857801, Average Loss  0.867453, Time  0.355420
2021-09-10 08:52:52.590708 : CheckPoint: Validation Loss  0.00062169, Best Loss  0.00056427
2021-09-10 08:52:54.356366 : Epoch  9, Batch   2913, Loss  0.874592, Average Loss  0.867536, Time  0.356754
2021-09-10 08:52:56.195773 : Epoch  9, Batch   2914, Loss  0.852705, Average Loss  0.867417, Time  0.406942
2021-09-10 08:52:58.092777 : Epoch  9, Batch   2915, Loss  0.865162, Average Loss  0.867571, Time  0.452790
2021-09-10 08:52:59.891774 : Epoch  9, Batch   2916, Loss  0.858209, Average Loss  0.867488, Time  0.335087
2021-09-10 08:53:01.700790 : Epoch  9, Batch   2917, Loss  0.835276, Average Loss  0.867281, Time  0.355622
2021-09-10 08:53:03.489835 : Epoch  9, Batch   2918, Loss  0.868129, Average Loss  0.867272, Time  0.355966
2021-09-10 08:53:05.367781 : Epoch  9, Batch   2919, Loss  0.870480, Average Loss  0.867398, Time  0.451946
2021-09-10 08:53:07.169071 : Epoch  9, Batch   2920, Loss  0.907753, Average Loss  0.867549, Time  0.344922
2021-09-10 08:53:08.967818 : Epoch  9, Batch   2921, Loss  0.887284, Average Loss  0.867576, Time  0.356030
2021-09-10 08:53:10.786885 : Epoch  9, Batch   2922, Loss  0.864081, Average Loss  0.867506, Time  0.358881
2021-09-10 08:53:12.680764 : Epoch  9, Batch   2923, Loss  0.840136, Average Loss  0.867500, Time  0.452584
2021-09-10 08:53:14.593764 : Epoch  9, Batch   2924, Loss  0.888051, Average Loss  0.867773, Time  0.445978
2021-09-10 08:53:16.402887 : Epoch  9, Batch   2925, Loss  0.853612, Average Loss  0.867611, Time  0.357387
2021-09-10 08:53:18.190103 : Epoch  9, Batch   2926, Loss  0.894673, Average Loss  0.867948, Time  0.357374
2021-09-10 08:53:20.013640 : Epoch  9, Batch   2927, Loss  0.874423, Average Loss  0.867901, Time  0.388908
2021-09-10 08:53:21.895774 : Epoch  9, Batch   2928, Loss  0.864184, Average Loss  0.867821, Time  0.452726
2021-09-10 08:53:23.672622 : Epoch  9, Batch   2929, Loss  0.875271, Average Loss  0.867881, Time  0.357355
2021-09-10 08:53:25.465775 : Epoch  9, Batch   2930, Loss  0.880306, Average Loss  0.867930, Time  0.361559
2021-09-10 08:53:27.308042 : Epoch  9, Batch   2931, Loss  0.872901, Average Loss  0.868081, Time  0.382573
2021-09-10 08:53:29.209780 : Epoch  9, Batch   2932, Loss  0.880952, Average Loss  0.868229, Time  0.462311
2021-09-10 08:53:31.095249 : Epoch  9, Batch   2933, Loss  0.850237, Average Loss  0.868223, Time  0.421460
2021-09-10 08:53:32.880508 : Epoch  9, Batch   2934, Loss  0.882497, Average Loss  0.868097, Time  0.361407
2021-09-10 08:53:34.680443 : Epoch  9, Batch   2935, Loss  0.859072, Average Loss  0.868045, Time  0.357378
2021-09-10 08:53:36.513884 : Epoch  9, Batch   2936, Loss  0.873224, Average Loss  0.868079, Time  0.431341
2021-09-10 08:53:38.385086 : Epoch  9, Batch   2937, Loss  0.894933, Average Loss  0.868138, Time  0.451616
2021-09-10 08:53:40.200795 : Epoch  9, Batch   2938, Loss  0.879917, Average Loss  0.868263, Time  0.357035
2021-09-10 08:53:42.016180 : Epoch  9, Batch   2939, Loss  0.852884, Average Loss  0.868133, Time  0.358081
2021-09-10 08:53:43.833070 : Epoch  9, Batch   2940, Loss  0.868333, Average Loss  0.868277, Time  0.370921
2021-09-10 08:53:45.711771 : Epoch  9, Batch   2941, Loss  0.871352, Average Loss  0.868283, Time  0.448660
2021-09-10 08:53:47.508789 : Epoch  9, Batch   2942, Loss  0.838067, Average Loss  0.867975, Time  0.354909
2021-09-10 08:53:49.303104 : Epoch  9, Batch   2943, Loss  0.877991, Average Loss  0.868015, Time  0.362721
2021-09-10 08:53:51.076523 : Epoch  9, Batch   2944, Loss  0.872918, Average Loss  0.868066, Time  0.358933
2021-09-10 08:53:52.966087 : Epoch  9, Batch   2945, Loss  0.863038, Average Loss  0.867876, Time  0.454030
2021-09-10 08:53:54.746307 : Epoch  9, Batch   2946, Loss  0.855761, Average Loss  0.867933, Time  0.363564
2021-09-10 08:53:56.525102 : Epoch  9, Batch   2947, Loss  0.876854, Average Loss  0.868006, Time  0.364414
2021-09-10 08:53:58.303789 : Epoch  9, Batch   2948, Loss  0.864388, Average Loss  0.868136, Time  0.368486
2021-09-10 08:54:00.195768 : Epoch  9, Batch   2949, Loss  0.861385, Average Loss  0.868124, Time  0.458308
2021-09-10 08:54:01.974321 : Epoch  9, Batch   2950, Loss  0.826816, Average Loss  0.867881, Time  0.356835
2021-09-10 08:54:03.787666 : Epoch  9, Batch   2951, Loss  0.899819, Average Loss  0.868049, Time  0.380597
2021-09-10 08:54:05.588097 : Epoch  9, Batch   2952, Loss  0.856501, Average Loss  0.867942, Time  0.380081
2021-09-10 08:54:07.499763 : Epoch  9, Batch   2953, Loss  0.876860, Average Loss  0.868028, Time  0.464635
2021-09-10 08:54:09.343091 : Epoch  9, Batch   2954, Loss  0.828490, Average Loss  0.867771, Time  0.419294
2021-09-10 08:54:11.130110 : Epoch  9, Batch   2955, Loss  0.871388, Average Loss  0.867834, Time  0.356397
2021-09-10 08:54:12.915310 : Epoch  9, Batch   2956, Loss  0.866706, Average Loss  0.867888, Time  0.359587
2021-09-10 08:54:14.775810 : Epoch  9, Batch   2957, Loss  0.848528, Average Loss  0.867762, Time  0.437177
2021-09-10 08:54:16.671105 : Epoch  9, Batch   2958, Loss  0.861563, Average Loss  0.867654, Time  0.459689
2021-09-10 08:54:18.459800 : Epoch  9, Batch   2959, Loss  0.854794, Average Loss  0.867595, Time  0.357208
2021-09-10 08:54:20.248153 : Epoch  9, Batch   2960, Loss  0.887981, Average Loss  0.867649, Time  0.366033
2021-09-10 08:54:22.064773 : Epoch  9, Batch   2961, Loss  0.873907, Average Loss  0.867740, Time  0.374952
2021-09-10 08:54:23.966772 : Epoch  9, Batch   2962, Loss  0.872925, Average Loss  0.867882, Time  0.450018
2021-09-10 08:54:25.719036 : Epoch  9, Batch   2963, Loss  0.891190, Average Loss  0.868034, Time  0.335636
2021-09-10 08:54:27.495772 : Epoch  9, Batch   2964, Loss  0.875189, Average Loss  0.868059, Time  0.367376
2021-09-10 08:54:29.266931 : Epoch  9, Batch   2965, Loss  0.874670, Average Loss  0.868142, Time  0.370013
2021-09-10 08:54:31.152776 : Epoch  9, Batch   2966, Loss  0.895651, Average Loss  0.868456, Time  0.454583
2021-09-10 08:54:32.918104 : Epoch  9, Batch   2967, Loss  0.884182, Average Loss  0.868675, Time  0.335824
2021-09-10 08:54:34.691232 : Epoch  9, Batch   2968, Loss  0.888133, Average Loss  0.868685, Time  0.357301
2021-09-10 08:54:36.461228 : Epoch  9, Batch   2969, Loss  0.865641, Average Loss  0.868761, Time  0.361847
2021-09-10 08:54:38.356778 : Epoch  9, Batch   2970, Loss  0.842897, Average Loss  0.868722, Time  0.464544
2021-09-10 08:54:40.131101 : Epoch  9, Batch   2971, Loss  0.874140, Average Loss  0.868700, Time  0.357787
2021-09-10 08:54:41.920780 : Epoch  9, Batch   2972, Loss  0.866221, Average Loss  0.868555, Time  0.361760
2021-09-10 08:54:43.732028 : Epoch  9, Batch   2973, Loss  0.875982, Average Loss  0.868506, Time  0.393251
2021-09-10 08:54:45.601331 : Epoch  9, Batch   2974, Loss  0.841535, Average Loss  0.868352, Time  0.455292
2021-09-10 08:54:47.395759 : Epoch  9, Batch   2975, Loss  0.848557, Average Loss  0.868246, Time  0.357410
2021-09-10 08:54:49.194762 : Epoch  9, Batch   2976, Loss  0.903836, Average Loss  0.868568, Time  0.359768
2021-09-10 08:54:51.005766 : Epoch  9, Batch   2977, Loss  0.881952, Average Loss  0.868690, Time  0.355628
2021-09-10 08:54:52.888765 : Epoch  9, Batch   2978, Loss  0.856230, Average Loss  0.868711, Time  0.453367
2021-09-10 08:54:54.679908 : Epoch  9, Batch   2979, Loss  0.854143, Average Loss  0.868572, Time  0.360226
2021-09-10 08:54:56.463228 : Epoch  9, Batch   2980, Loss  0.839597, Average Loss  0.868542, Time  0.357997
2021-09-10 08:54:58.261928 : Epoch  9, Batch   2981, Loss  0.878005, Average Loss  0.868553, Time  0.378108
2021-09-10 08:55:00.142070 : Epoch  9, Batch   2982, Loss  0.855721, Average Loss  0.868394, Time  0.453130
2021-09-10 08:55:01.922783 : Epoch  9, Batch   2983, Loss  0.860517, Average Loss  0.868233, Time  0.358404
2021-09-10 08:55:03.704815 : Epoch  9, Batch   2984, Loss  0.885563, Average Loss  0.868314, Time  0.358613
2021-09-10 08:55:05.500323 : Epoch  9, Batch   2985, Loss  0.876573, Average Loss  0.868336, Time  0.375541
2021-09-10 08:55:07.376775 : Epoch  9, Batch   2986, Loss  0.878259, Average Loss  0.868365, Time  0.457523
2021-09-10 08:55:09.140772 : Epoch  9, Batch   2987, Loss  0.856059, Average Loss  0.868474, Time  0.364446
2021-09-10 08:55:10.919747 : Epoch  9, Batch   2988, Loss  0.884835, Average Loss  0.868581, Time  0.358006
2021-09-10 08:55:12.768080 : Epoch  9, Batch   2989, Loss  0.848354, Average Loss  0.868528, Time  0.390463
2021-09-10 08:55:14.678790 : Epoch  9, Batch   2990, Loss  0.847828, Average Loss  0.868473, Time  0.452304
2021-09-10 08:55:16.452808 : Epoch  9, Batch   2991, Loss  0.861666, Average Loss  0.868428, Time  0.358427
2021-09-10 08:55:18.248088 : Epoch  9, Batch   2992, Loss  0.872184, Average Loss  0.868431, Time  0.360044
2021-09-10 08:55:20.039761 : Epoch  9, Batch   2993, Loss  0.898052, Average Loss  0.868480, Time  0.371813
2021-09-10 08:55:21.954297 : Epoch  9, Batch   2994, Loss  0.858384, Average Loss  0.868342, Time  0.468618
2021-09-10 08:55:23.722811 : Epoch  9, Batch   2995, Loss  0.870080, Average Loss  0.868289, Time  0.353970
2021-09-10 08:55:25.517777 : Epoch  9, Batch   2996, Loss  0.882268, Average Loss  0.868277, Time  0.363770
2021-09-10 08:55:27.289158 : Epoch  9, Batch   2997, Loss  0.823259, Average Loss  0.867992, Time  0.361492
2021-09-10 08:55:29.185812 : Epoch  9, Batch   2998, Loss  0.880679, Average Loss  0.868065, Time  0.469673
2021-09-10 08:55:31.080092 : Epoch  9, Batch   2999, Loss  0.870223, Average Loss  0.867893, Time  0.443528
2021-09-10 08:55:32.880431 : Epoch  9, Batch   3000, Loss  0.871635, Average Loss  0.867977, Time  0.364307
2021-09-10 08:55:34.635136 : Epoch  9, Batch   3001, Loss  0.847126, Average Loss  0.867840, Time  0.357732
2021-09-10 08:55:36.478825 : Epoch  9, Batch   3002, Loss  0.873069, Average Loss  0.867916, Time  0.419627
2021-09-10 08:55:38.373779 : Epoch  9, Batch   3003, Loss  0.872155, Average Loss  0.867848, Time  0.452964
2021-09-10 08:55:40.161906 : Epoch  9, Batch   3004, Loss  0.858862, Average Loss  0.867751, Time  0.356204
2021-09-10 08:55:41.929933 : Epoch  9, Batch   3005, Loss  0.865093, Average Loss  0.867496, Time  0.355620
2021-09-10 08:55:43.755782 : Epoch  9, Batch   3006, Loss  0.868298, Average Loss  0.867467, Time  0.399949
2021-09-10 08:55:45.647761 : Epoch  9, Batch   3007, Loss  0.887886, Average Loss  0.867625, Time  0.462181
2021-09-10 08:55:47.431081 : Epoch  9, Batch   3008, Loss  0.882589, Average Loss  0.867743, Time  0.356549
2021-09-10 08:55:49.228779 : Epoch  9, Batch   3009, Loss  0.880613, Average Loss  0.867692, Time  0.357552
2021-09-10 08:55:51.037799 : Epoch  9, Batch   3010, Loss  0.879189, Average Loss  0.867802, Time  0.361245
2021-09-10 08:55:52.938955 : Epoch  9, Batch   3011, Loss  0.872847, Average Loss  0.867669, Time  0.450922
2021-09-10 08:55:54.844883 : Epoch  9, Batch   3012, Loss  0.868421, Average Loss  0.867640, Time  0.410099
2021-09-10 09:00:45.695708 : CheckPoint: Validation Loss  0.00060132, Best Loss  0.00056427
2021-09-10 09:00:47.590983 : Epoch  9, Batch   3013, Loss  0.850733, Average Loss  0.867543, Time  0.453673
2021-09-10 09:00:49.459782 : Epoch  9, Batch   3014, Loss  0.883228, Average Loss  0.867560, Time  0.443443
2021-09-10 09:00:51.267777 : Epoch  9, Batch   3015, Loss  0.850513, Average Loss  0.867289, Time  0.360406
2021-09-10 09:00:53.072764 : Epoch  9, Batch   3016, Loss  0.872889, Average Loss  0.867463, Time  0.357288
2021-09-10 09:00:54.914776 : Epoch  9, Batch   3017, Loss  0.837484, Average Loss  0.867361, Time  0.412504
2021-09-10 09:00:56.802816 : Epoch  9, Batch   3018, Loss  0.868557, Average Loss  0.867351, Time  0.467303
2021-09-10 09:00:58.593809 : Epoch  9, Batch   3019, Loss  0.841885, Average Loss  0.867263, Time  0.356503
2021-09-10 09:01:00.410766 : Epoch  9, Batch   3020, Loss  0.872249, Average Loss  0.867364, Time  0.360853
2021-09-10 09:01:02.218172 : Epoch  9, Batch   3021, Loss  0.861270, Average Loss  0.867321, Time  0.363110
2021-09-10 09:01:04.118228 : Epoch  9, Batch   3022, Loss  0.867897, Average Loss  0.867307, Time  0.462751
2021-09-10 09:01:05.913870 : Epoch  9, Batch   3023, Loss  0.913324, Average Loss  0.867426, Time  0.355703
2021-09-10 09:01:07.708857 : Epoch  9, Batch   3024, Loss  0.876864, Average Loss  0.867381, Time  0.356830
2021-09-10 09:01:09.541771 : Epoch  9, Batch   3025, Loss  0.858108, Average Loss  0.867368, Time  0.367331
2021-09-10 09:01:11.462237 : Epoch  9, Batch   3026, Loss  0.859327, Average Loss  0.867335, Time  0.464935
2021-09-10 09:01:13.321804 : Epoch  9, Batch   3027, Loss  0.864540, Average Loss  0.867284, Time  0.419104
2021-09-10 09:01:15.118105 : Epoch  9, Batch   3028, Loss  0.870753, Average Loss  0.867203, Time  0.358313
2021-09-10 09:01:16.926761 : Epoch  9, Batch   3029, Loss  0.878348, Average Loss  0.867081, Time  0.363251
2021-09-10 09:01:18.779174 : Epoch  9, Batch   3030, Loss  0.850176, Average Loss  0.866991, Time  0.432881
2021-09-10 09:01:20.665761 : Epoch  9, Batch   3031, Loss  0.877175, Average Loss  0.867017, Time  0.451085
2021-09-10 09:01:22.475825 : Epoch  9, Batch   3032, Loss  0.869141, Average Loss  0.867107, Time  0.356946
2021-09-10 09:01:24.280038 : Epoch  9, Batch   3033, Loss  0.874255, Average Loss  0.867140, Time  0.355924
2021-09-10 09:01:26.095763 : Epoch  9, Batch   3034, Loss  0.879634, Average Loss  0.867163, Time  0.363057
2021-09-10 09:01:27.993841 : Epoch  9, Batch   3035, Loss  0.853621, Average Loss  0.867213, Time  0.451056
2021-09-10 09:01:29.800065 : Epoch  9, Batch   3036, Loss  0.840550, Average Loss  0.867179, Time  0.373403
2021-09-10 09:01:31.582169 : Epoch  9, Batch   3037, Loss  0.871836, Average Loss  0.867143, Time  0.356437
2021-09-10 09:01:33.374897 : Epoch  9, Batch   3038, Loss  0.905775, Average Loss  0.867228, Time  0.355707
2021-09-10 09:01:35.252783 : Epoch  9, Batch   3039, Loss  0.832125, Average Loss  0.867141, Time  0.447927
2021-09-10 09:01:37.145175 : Epoch  9, Batch   3040, Loss  0.859888, Average Loss  0.867132, Time  0.446272
2021-09-10 09:01:38.940084 : Epoch  9, Batch   3041, Loss  0.859539, Average Loss  0.867078, Time  0.354729
2021-09-10 09:01:40.753783 : Epoch  9, Batch   3042, Loss  0.836077, Average Loss  0.866797, Time  0.355630
2021-09-10 09:01:42.586779 : Epoch  9, Batch   3043, Loss  0.852491, Average Loss  0.866560, Time  0.387365
2021-09-10 09:01:44.474778 : Epoch  9, Batch   3044, Loss  0.882836, Average Loss  0.866713, Time  0.451804
2021-09-10 09:01:46.305799 : Epoch  9, Batch   3045, Loss  0.875560, Average Loss  0.866842, Time  0.356492
2021-09-10 09:01:48.107781 : Epoch  9, Batch   3046, Loss  0.886687, Average Loss  0.866961, Time  0.358750
2021-09-10 09:01:49.906759 : Epoch  9, Batch   3047, Loss  0.882616, Average Loss  0.867039, Time  0.363605
2021-09-10 09:01:51.803763 : Epoch  9, Batch   3048, Loss  0.857703, Average Loss  0.867098, Time  0.450275
2021-09-10 09:01:53.580885 : Epoch  9, Batch   3049, Loss  0.884898, Average Loss  0.867139, Time  0.336895
2021-09-10 09:01:55.353776 : Epoch  9, Batch   3050, Loss  0.867707, Average Loss  0.867156, Time  0.364064
2021-09-10 09:01:57.141104 : Epoch  9, Batch   3051, Loss  0.865398, Average Loss  0.867059, Time  0.371982
2021-09-10 09:01:59.053228 : Epoch  9, Batch   3052, Loss  0.852166, Average Loss  0.866970, Time  0.464847
2021-09-10 09:02:00.924776 : Epoch  9, Batch   3053, Loss  0.883099, Average Loss  0.867017, Time  0.433701
2021-09-10 09:02:02.706141 : Epoch  9, Batch   3054, Loss  0.885565, Average Loss  0.867180, Time  0.356647
2021-09-10 09:02:04.486762 : Epoch  9, Batch   3055, Loss  0.871890, Average Loss  0.867263, Time  0.356270
2021-09-10 09:02:06.360962 : Epoch  9, Batch   3056, Loss  0.877855, Average Loss  0.867513, Time  0.437218
2021-09-10 09:02:08.249762 : Epoch  9, Batch   3057, Loss  0.881755, Average Loss  0.867496, Time  0.452790
2021-09-10 09:02:10.048167 : Epoch  9, Batch   3058, Loss  0.882672, Average Loss  0.867522, Time  0.356051
2021-09-10 09:02:11.832801 : Epoch  9, Batch   3059, Loss  0.865221, Average Loss  0.867495, Time  0.355764
2021-09-10 09:02:13.669784 : Epoch  9, Batch   3060, Loss  0.886170, Average Loss  0.867562, Time  0.379663
2021-09-10 09:02:15.590073 : Epoch  9, Batch   3061, Loss  0.882868, Average Loss  0.867774, Time  0.452237
2021-09-10 09:02:17.359954 : Epoch  9, Batch   3062, Loss  0.868101, Average Loss  0.867656, Time  0.348401
2021-09-10 09:02:19.163088 : Epoch  9, Batch   3063, Loss  0.869972, Average Loss  0.867672, Time  0.355128
2021-09-10 09:02:20.944778 : Epoch  9, Batch   3064, Loss  0.853442, Average Loss  0.867560, Time  0.364774
2021-09-10 09:02:22.857793 : Epoch  9, Batch   3065, Loss  0.870324, Average Loss  0.867668, Time  0.459884
2021-09-10 09:02:24.731812 : Epoch  9, Batch   3066, Loss  0.875795, Average Loss  0.867773, Time  0.446549
2021-09-10 09:02:26.526058 : Epoch  9, Batch   3067, Loss  0.847024, Average Loss  0.867582, Time  0.359576
2021-09-10 09:02:28.341766 : Epoch  9, Batch   3068, Loss  0.884614, Average Loss  0.867716, Time  0.358199
2021-09-10 09:02:30.193072 : Epoch  9, Batch   3069, Loss  0.865957, Average Loss  0.867816, Time  0.401809
2021-09-10 09:02:32.086763 : Epoch  9, Batch   3070, Loss  0.866957, Average Loss  0.867777, Time  0.452993
2021-09-10 09:02:33.867026 : Epoch  9, Batch   3071, Loss  0.879010, Average Loss  0.867909, Time  0.369461
2021-09-10 09:02:35.648777 : Epoch  9, Batch   3072, Loss  0.871665, Average Loss  0.867945, Time  0.358294
2021-09-10 09:02:37.446780 : Epoch  9, Batch   3073, Loss  0.890414, Average Loss  0.868063, Time  0.375784
2021-09-10 09:02:39.333852 : Epoch  9, Batch   3074, Loss  0.863990, Average Loss  0.868014, Time  0.460507
2021-09-10 09:02:41.110911 : Epoch  9, Batch   3075, Loss  0.851173, Average Loss  0.867850, Time  0.359141
2021-09-10 09:02:42.905164 : Epoch  9, Batch   3076, Loss  0.859288, Average Loss  0.867729, Time  0.357633
2021-09-10 09:02:44.704964 : Epoch  9, Batch   3077, Loss  0.863759, Average Loss  0.867740, Time  0.367100
2021-09-10 09:02:46.596770 : Epoch  9, Batch   3078, Loss  0.895147, Average Loss  0.868023, Time  0.452310
2021-09-10 09:02:48.365177 : Epoch  9, Batch   3079, Loss  0.865226, Average Loss  0.868142, Time  0.336926
2021-09-10 09:02:50.167940 : Epoch  9, Batch   3080, Loss  0.846176, Average Loss  0.868009, Time  0.355143
2021-09-10 09:02:51.979157 : Epoch  9, Batch   3081, Loss  0.875938, Average Loss  0.868048, Time  0.356475
2021-09-10 09:02:53.854779 : Epoch  9, Batch   3082, Loss  0.858171, Average Loss  0.868017, Time  0.453429
2021-09-10 09:02:55.613773 : Epoch  9, Batch   3083, Loss  0.888631, Average Loss  0.868196, Time  0.334633
2021-09-10 09:02:57.404284 : Epoch  9, Batch   3084, Loss  0.874217, Average Loss  0.868288, Time  0.363434
2021-09-10 09:02:59.172790 : Epoch  9, Batch   3085, Loss  0.873638, Average Loss  0.868288, Time  0.368809
2021-09-10 09:03:01.066773 : Epoch  9, Batch   3086, Loss  0.861146, Average Loss  0.868219, Time  0.467840
2021-09-10 09:03:02.900924 : Epoch  9, Batch   3087, Loss  0.875899, Average Loss  0.868381, Time  0.376931
2021-09-10 09:03:04.702845 : Epoch  9, Batch   3088, Loss  0.891238, Average Loss  0.868399, Time  0.372132
2021-09-10 09:03:06.491781 : Epoch  9, Batch   3089, Loss  0.851785, Average Loss  0.868349, Time  0.359374
2021-09-10 09:03:08.355467 : Epoch  9, Batch   3090, Loss  0.888299, Average Loss  0.868430, Time  0.451372
2021-09-10 09:03:10.202881 : Epoch  9, Batch   3091, Loss  0.866026, Average Loss  0.868396, Time  0.449938
2021-09-10 09:03:12.001803 : Epoch  9, Batch   3092, Loss  0.873585, Average Loss  0.868299, Time  0.363287
2021-09-10 09:03:13.783875 : Epoch  9, Batch   3093, Loss  0.866446, Average Loss  0.868447, Time  0.362158
2021-09-10 09:03:15.625764 : Epoch  9, Batch   3094, Loss  0.853862, Average Loss  0.868391, Time  0.408218
2021-09-10 09:03:17.487110 : Epoch  9, Batch   3095, Loss  0.852850, Average Loss  0.868313, Time  0.450994
2021-09-10 09:03:19.272106 : Epoch  9, Batch   3096, Loss  0.852797, Average Loss  0.868364, Time  0.356756
2021-09-10 09:03:21.031094 : Epoch  9, Batch   3097, Loss  0.856090, Average Loss  0.868271, Time  0.338212
2021-09-10 09:03:22.876771 : Epoch  9, Batch   3098, Loss  0.881156, Average Loss  0.868344, Time  0.429763
2021-09-10 09:03:24.778952 : Epoch  9, Batch   3099, Loss  0.868113, Average Loss  0.868421, Time  0.458681
2021-09-10 09:03:26.549448 : Epoch  9, Batch   3100, Loss  0.881559, Average Loss  0.868449, Time  0.336338
2021-09-10 09:03:28.337325 : Epoch  9, Batch   3101, Loss  0.895238, Average Loss  0.868524, Time  0.361286
2021-09-10 09:03:30.121847 : Epoch  9, Batch   3102, Loss  0.872274, Average Loss  0.868517, Time  0.376183
2021-09-10 09:03:31.984853 : Epoch  9, Batch   3103, Loss  0.869717, Average Loss  0.868575, Time  0.454013
2021-09-10 09:03:33.769783 : Epoch  9, Batch   3104, Loss  0.865421, Average Loss  0.868567, Time  0.364316
2021-09-10 09:03:35.531760 : Epoch  9, Batch   3105, Loss  0.833540, Average Loss  0.868396, Time  0.356073
2021-09-10 09:03:37.345103 : Epoch  9, Batch   3106, Loss  0.853274, Average Loss  0.868262, Time  0.393543
2021-09-10 09:03:39.242777 : Epoch  9, Batch   3107, Loss  0.891842, Average Loss  0.868464, Time  0.457835
2021-09-10 09:03:41.033629 : Epoch  9, Batch   3108, Loss  0.903852, Average Loss  0.868572, Time  0.379101
2021-09-10 09:03:42.808780 : Epoch  9, Batch   3109, Loss  0.875989, Average Loss  0.868761, Time  0.365393
2021-09-10 09:03:44.609832 : Epoch  9, Batch   3110, Loss  0.883958, Average Loss  0.868864, Time  0.379061
2021-09-10 09:03:46.493777 : Epoch  9, Batch   3111, Loss  0.881742, Average Loss  0.868902, Time  0.467716
2021-09-10 09:03:48.333112 : Epoch  9, Batch   3112, Loss  0.863953, Average Loss  0.868933, Time  0.356833
2021-09-10 09:08:39.081706 : CheckPoint: Validation Loss  0.00060490, Best Loss  0.00056427
2021-09-10 09:08:40.876774 : Epoch  9, Batch   3113, Loss  0.891581, Average Loss  0.869018, Time  0.355781
2021-09-10 09:08:42.684773 : Epoch  9, Batch   3114, Loss  0.861863, Average Loss  0.869063, Time  0.401268
2021-09-10 09:08:44.560777 : Epoch  9, Batch   3115, Loss  0.884427, Average Loss  0.869160, Time  0.457897
2021-09-10 09:08:46.334777 : Epoch  9, Batch   3116, Loss  0.883034, Average Loss  0.869284, Time  0.363168
2021-09-10 09:08:48.134778 : Epoch  9, Batch   3117, Loss  0.874430, Average Loss  0.869480, Time  0.358480
2021-09-10 09:08:49.944773 : Epoch  9, Batch   3118, Loss  0.841076, Average Loss  0.869344, Time  0.384632
2021-09-10 09:08:51.826118 : Epoch  9, Batch   3119, Loss  0.897420, Average Loss  0.869479, Time  0.453267
2021-09-10 09:08:53.598766 : Epoch  9, Batch   3120, Loss  0.880057, Average Loss  0.869341, Time  0.359439
2021-09-10 09:08:55.378776 : Epoch  9, Batch   3121, Loss  0.867305, Average Loss  0.869241, Time  0.364119
2021-09-10 09:08:57.171764 : Epoch  9, Batch   3122, Loss  0.870376, Average Loss  0.869272, Time  0.386573
2021-09-10 09:08:59.064921 : Epoch  9, Batch   3123, Loss  0.882312, Average Loss  0.869483, Time  0.464609
2021-09-10 09:09:00.828777 : Epoch  9, Batch   3124, Loss  0.877371, Average Loss  0.869430, Time  0.356757
2021-09-10 09:09:02.649781 : Epoch  9, Batch   3125, Loss  0.875118, Average Loss  0.869537, Time  0.371153
2021-09-10 09:09:04.476777 : Epoch  9, Batch   3126, Loss  0.870875, Average Loss  0.869418, Time  0.387573
2021-09-10 09:09:06.359756 : Epoch  9, Batch   3127, Loss  0.864283, Average Loss  0.869367, Time  0.465778
2021-09-10 09:09:08.139777 : Epoch  9, Batch   3128, Loss  0.868565, Average Loss  0.869389, Time  0.363735
2021-09-10 09:09:09.913099 : Epoch  9, Batch   3129, Loss  0.881307, Average Loss  0.869420, Time  0.357803
2021-09-10 09:09:11.727779 : Epoch  9, Batch   3130, Loss  0.834042, Average Loss  0.869188, Time  0.381296
2021-09-10 09:09:13.606774 : Epoch  9, Batch   3131, Loss  0.857528, Average Loss  0.869111, Time  0.460462
2021-09-10 09:09:15.397732 : Epoch  9, Batch   3132, Loss  0.867709, Average Loss  0.869045, Time  0.356249
2021-09-10 09:09:17.196772 : Epoch  9, Batch   3133, Loss  0.880098, Average Loss  0.869194, Time  0.358644
2021-09-10 09:09:18.988812 : Epoch  9, Batch   3134, Loss  0.887695, Average Loss  0.869220, Time  0.368311
2021-09-10 09:09:20.863770 : Epoch  9, Batch   3135, Loss  0.839132, Average Loss  0.869121, Time  0.450887
2021-09-10 09:09:22.650842 : Epoch  9, Batch   3136, Loss  0.897636, Average Loss  0.869243, Time  0.365017
2021-09-10 09:09:24.410928 : Epoch  9, Batch   3137, Loss  0.878220, Average Loss  0.869159, Time  0.358118
2021-09-10 09:09:26.187777 : Epoch  9, Batch   3138, Loss  0.869108, Average Loss  0.869105, Time  0.380657
2021-09-10 09:09:28.066095 : Epoch  9, Batch   3139, Loss  0.861103, Average Loss  0.869146, Time  0.455897
2021-09-10 09:09:29.852956 : Epoch  9, Batch   3140, Loss  0.857490, Average Loss  0.869092, Time  0.356527
2021-09-10 09:09:31.640773 : Epoch  9, Batch   3141, Loss  0.841073, Average Loss  0.868941, Time  0.365646
2021-09-10 09:09:33.479878 : Epoch  9, Batch   3142, Loss  0.852355, Average Loss  0.869012, Time  0.378025
2021-09-10 09:09:35.355329 : Epoch  9, Batch   3143, Loss  0.874826, Average Loss  0.868996, Time  0.459226
2021-09-10 09:09:37.108620 : Epoch  9, Batch   3144, Loss  0.908594, Average Loss  0.869175, Time  0.356410
2021-09-10 09:09:38.866769 : Epoch  9, Batch   3145, Loss  0.871498, Average Loss  0.869217, Time  0.364894
2021-09-10 09:09:40.723772 : Epoch  9, Batch   3146, Loss  0.874759, Average Loss  0.869312, Time  0.400017
2021-09-10 09:09:42.605773 : Epoch  9, Batch   3147, Loss  0.893121, Average Loss  0.869393, Time  0.451854
2021-09-10 09:09:44.480777 : Epoch  9, Batch   3148, Loss  0.853300, Average Loss  0.869338, Time  0.428370
2021-09-10 09:09:46.255786 : Epoch  9, Batch   3149, Loss  0.899086, Average Loss  0.869526, Time  0.372839
2021-09-10 09:09:48.015820 : Epoch  9, Batch   3150, Loss  0.835038, Average Loss  0.869568, Time  0.356509
2021-09-10 09:09:49.877810 : Epoch  9, Batch   3151, Loss  0.887993, Average Loss  0.869508, Time  0.449920
2021-09-10 09:09:51.749664 : Epoch  9, Batch   3152, Loss  0.849962, Average Loss  0.869476, Time  0.452935
2021-09-10 09:09:53.534210 : Epoch  9, Batch   3153, Loss  0.871106, Average Loss  0.869447, Time  0.362082
2021-09-10 09:09:55.309103 : Epoch  9, Batch   3154, Loss  0.851555, Average Loss  0.869562, Time  0.357250
2021-09-10 09:09:57.147772 : Epoch  9, Batch   3155, Loss  0.848371, Average Loss  0.869447, Time  0.416594
2021-09-10 09:09:59.013519 : Epoch  9, Batch   3156, Loss  0.846482, Average Loss  0.869346, Time  0.451679
2021-09-10 09:10:00.798121 : Epoch  9, Batch   3157, Loss  0.865912, Average Loss  0.869433, Time  0.336421
2021-09-10 09:10:02.574760 : Epoch  9, Batch   3158, Loss  0.871623, Average Loss  0.869483, Time  0.374370
2021-09-10 09:10:04.355116 : Epoch  9, Batch   3159, Loss  0.868450, Average Loss  0.869552, Time  0.356238
2021-09-10 09:10:06.253186 : Epoch  9, Batch   3160, Loss  0.880768, Average Loss  0.869515, Time  0.457418
2021-09-10 09:10:08.035004 : Epoch  9, Batch   3161, Loss  0.848290, Average Loss  0.869387, Time  0.348764
2021-09-10 09:10:09.840105 : Epoch  9, Batch   3162, Loss  0.860357, Average Loss  0.869325, Time  0.355913
2021-09-10 09:10:11.603796 : Epoch  9, Batch   3163, Loss  0.878402, Average Loss  0.869261, Time  0.356116
2021-09-10 09:10:13.496783 : Epoch  9, Batch   3164, Loss  0.869681, Average Loss  0.869233, Time  0.470531
2021-09-10 09:10:15.395776 : Epoch  9, Batch   3165, Loss  0.851472, Average Loss  0.869117, Time  0.419945
2021-09-10 09:10:17.192561 : Epoch  9, Batch   3166, Loss  0.868279, Average Loss  0.868980, Time  0.356786
2021-09-10 09:10:18.959966 : Epoch  9, Batch   3167, Loss  0.863323, Average Loss  0.868876, Time  0.374282
2021-09-10 09:10:20.820099 : Epoch  9, Batch   3168, Loss  0.885423, Average Loss  0.868862, Time  0.442010
2021-09-10 09:10:22.707897 : Epoch  9, Batch   3169, Loss  0.858537, Average Loss  0.868827, Time  0.457414
2021-09-10 09:10:24.511773 : Epoch  9, Batch   3170, Loss  0.865938, Average Loss  0.868942, Time  0.356903
2021-09-10 09:10:26.332946 : Epoch  9, Batch   3171, Loss  0.863082, Average Loss  0.868887, Time  0.361056
2021-09-10 09:10:28.123769 : Epoch  9, Batch   3172, Loss  0.877064, Average Loss  0.868941, Time  0.379858
2021-09-10 09:10:29.991779 : Epoch  9, Batch   3173, Loss  0.858085, Average Loss  0.868852, Time  0.452690
2021-09-10 09:10:31.772103 : Epoch  9, Batch   3174, Loss  0.836400, Average Loss  0.868826, Time  0.357108
2021-09-10 09:10:33.576771 : Epoch  9, Batch   3175, Loss  0.863396, Average Loss  0.868900, Time  0.377383
2021-09-10 09:10:35.381766 : Epoch  9, Batch   3176, Loss  0.847153, Average Loss  0.868617, Time  0.381870
2021-09-10 09:10:37.237295 : Epoch  9, Batch   3177, Loss  0.845068, Average Loss  0.868432, Time  0.450286
2021-09-10 09:10:38.990454 : Epoch  9, Batch   3178, Loss  0.852559, Average Loss  0.868414, Time  0.358017
2021-09-10 09:10:40.793115 : Epoch  9, Batch   3179, Loss  0.903874, Average Loss  0.868662, Time  0.363090
2021-09-10 09:10:42.594072 : Epoch  9, Batch   3180, Loss  0.865477, Average Loss  0.868792, Time  0.393956
2021-09-10 09:10:44.480780 : Epoch  9, Batch   3181, Loss  0.870733, Average Loss  0.868756, Time  0.466053
2021-09-10 09:10:46.287781 : Epoch  9, Batch   3182, Loss  0.870314, Average Loss  0.868828, Time  0.349415
2021-09-10 09:10:48.096907 : Epoch  9, Batch   3183, Loss  0.874020, Average Loss  0.868896, Time  0.365343
2021-09-10 09:10:49.873766 : Epoch  9, Batch   3184, Loss  0.853148, Average Loss  0.868734, Time  0.357883
2021-09-10 09:10:51.726973 : Epoch  9, Batch   3185, Loss  0.871428, Average Loss  0.868708, Time  0.454477
2021-09-10 09:10:53.488090 : Epoch  9, Batch   3186, Loss  0.874523, Average Loss  0.868690, Time  0.359792
2021-09-10 09:10:55.260986 : Epoch  9, Batch   3187, Loss  0.873704, Average Loss  0.868778, Time  0.362666
2021-09-10 09:10:57.079779 : Epoch  9, Batch   3188, Loss  0.884416, Average Loss  0.868776, Time  0.397188
2021-09-10 09:10:58.977872 : Epoch  9, Batch   3189, Loss  0.857603, Average Loss  0.868822, Time  0.469175
2021-09-10 09:11:00.794860 : Epoch  9, Batch   3190, Loss  0.875042, Average Loss  0.868958, Time  0.374961
2021-09-10 09:11:02.564104 : Epoch  9, Batch   3191, Loss  0.865163, Average Loss  0.868975, Time  0.360077
2021-09-10 09:11:04.347175 : Epoch  9, Batch   3192, Loss  0.849032, Average Loss  0.868860, Time  0.358806
2021-09-10 09:11:06.235780 : Epoch  9, Batch   3193, Loss  0.867445, Average Loss  0.868707, Time  0.451558
2021-09-10 09:11:08.096180 : Epoch  9, Batch   3194, Loss  0.882397, Average Loss  0.868827, Time  0.445102
2021-09-10 09:11:09.882774 : Epoch  9, Batch   3195, Loss  0.855213, Average Loss  0.868752, Time  0.368754
2021-09-10 09:11:11.681773 : Epoch  9, Batch   3196, Loss  0.920107, Average Loss  0.868942, Time  0.360051
2021-09-10 09:11:13.518806 : Epoch  9, Batch   3197, Loss  0.864833, Average Loss  0.869149, Time  0.407354
2021-09-10 09:11:15.371935 : Epoch  9, Batch   3198, Loss  0.876998, Average Loss  0.869131, Time  0.449678
2021-09-10 09:11:17.168873 : Epoch  9, Batch   3199, Loss  0.858890, Average Loss  0.869074, Time  0.356661
2021-09-10 09:11:18.947773 : Epoch  9, Batch   3200, Loss  0.893461, Average Loss  0.869184, Time  0.356643
2021-09-10 09:11:20.769939 : Epoch  9, Batch   3201, Loss  0.865368, Average Loss  0.869275, Time  0.404178
2021-09-10 09:11:22.637604 : Epoch  9, Batch   3202, Loss  0.842069, Average Loss  0.869120, Time  0.452547
2021-09-10 09:11:24.408949 : Epoch  9, Batch   3203, Loss  0.861524, Average Loss  0.869067, Time  0.363743
2021-09-10 09:11:26.174847 : Epoch  9, Batch   3204, Loss  0.887427, Average Loss  0.869209, Time  0.356376
2021-09-10 09:11:27.992783 : Epoch  9, Batch   3205, Loss  0.869622, Average Loss  0.869232, Time  0.400430
2021-09-10 09:11:29.884863 : Epoch  9, Batch   3206, Loss  0.867152, Average Loss  0.869226, Time  0.461265
2021-09-10 09:11:31.643778 : Epoch  9, Batch   3207, Loss  0.889410, Average Loss  0.869234, Time  0.355793
2021-09-10 09:11:33.454775 : Epoch  9, Batch   3208, Loss  0.897292, Average Loss  0.869307, Time  0.367043
2021-09-10 09:11:35.250062 : Epoch  9, Batch   3209, Loss  0.845892, Average Loss  0.869134, Time  0.385938
2021-09-10 09:11:37.131767 : Epoch  9, Batch   3210, Loss  0.855766, Average Loss  0.869017, Time  0.453856
2021-09-10 09:11:38.898776 : Epoch  9, Batch   3211, Loss  0.847931, Average Loss  0.868892, Time  0.363912
2021-09-10 09:11:40.692780 : Epoch  9, Batch   3212, Loss  0.885312, Average Loss  0.868977, Time  0.360272
2021-09-10 09:16:31.377719 : CheckPoint: Validation Loss  0.00061211, Best Loss  0.00056427
2021-09-10 09:16:33.292010 : Epoch  9, Batch   3213, Loss  0.866113, Average Loss  0.869053, Time  0.459679
2021-09-10 09:16:35.188754 : Epoch  9, Batch   3214, Loss  0.895379, Average Loss  0.869114, Time  0.460444
2021-09-10 09:16:36.977859 : Epoch  9, Batch   3215, Loss  0.864644, Average Loss  0.869185, Time  0.372475
2021-09-10 09:16:38.781075 : Epoch  9, Batch   3216, Loss  0.861321, Average Loss  0.869127, Time  0.365063
2021-09-10 09:16:40.607088 : Epoch  9, Batch   3217, Loss  0.861450, Average Loss  0.869247, Time  0.398900
2021-09-10 09:16:42.487765 : Epoch  9, Batch   3218, Loss  0.874500, Average Loss  0.869277, Time  0.453698
2021-09-10 09:16:44.289101 : Epoch  9, Batch   3219, Loss  0.912661, Average Loss  0.869630, Time  0.357605
2021-09-10 09:16:46.083069 : Epoch  9, Batch   3220, Loss  0.889248, Average Loss  0.869715, Time  0.356078
2021-09-10 09:16:47.900758 : Epoch  9, Batch   3221, Loss  0.865289, Average Loss  0.869736, Time  0.380184
2021-09-10 09:16:49.790765 : Epoch  9, Batch   3222, Loss  0.880979, Average Loss  0.869801, Time  0.450883
2021-09-10 09:16:51.584761 : Epoch  9, Batch   3223, Loss  0.895424, Average Loss  0.869711, Time  0.355635
2021-09-10 09:16:53.377107 : Epoch  9, Batch   3224, Loss  0.866662, Average Loss  0.869660, Time  0.372222
2021-09-10 09:16:55.178461 : Epoch  9, Batch   3225, Loss  0.853087, Average Loss  0.869635, Time  0.375464
2021-09-10 09:16:57.052832 : Epoch  9, Batch   3226, Loss  0.874144, Average Loss  0.869709, Time  0.456181
2021-09-10 09:16:58.838817 : Epoch  9, Batch   3227, Loss  0.853683, Average Loss  0.869655, Time  0.359301
2021-09-10 09:17:00.640770 : Epoch  9, Batch   3228, Loss  0.867856, Average Loss  0.869641, Time  0.361345
2021-09-10 09:17:02.446852 : Epoch  9, Batch   3229, Loss  0.862706, Average Loss  0.869562, Time  0.375729
2021-09-10 09:17:04.298767 : Epoch  9, Batch   3230, Loss  0.837007, Average Loss  0.869497, Time  0.457064
2021-09-10 09:17:06.082976 : Epoch  9, Batch   3231, Loss  0.868613, Average Loss  0.869454, Time  0.370740
2021-09-10 09:17:07.884778 : Epoch  9, Batch   3232, Loss  0.831682, Average Loss  0.869267, Time  0.359007
2021-09-10 09:17:09.699994 : Epoch  9, Batch   3233, Loss  0.839431, Average Loss  0.869092, Time  0.406523
2021-09-10 09:17:11.579893 : Epoch  9, Batch   3234, Loss  0.876991, Average Loss  0.869079, Time  0.478549
2021-09-10 09:17:13.407078 : Epoch  9, Batch   3235, Loss  0.874417, Average Loss  0.869183, Time  0.403062
2021-09-10 09:17:15.183942 : Epoch  9, Batch   3236, Loss  0.859945, Average Loss  0.869280, Time  0.365212
2021-09-10 09:17:17.095824 : Epoch  9, Batch   3237, Loss  0.867434, Average Loss  0.869258, Time  0.471885
2021-09-10 09:17:18.971109 : Epoch  9, Batch   3238, Loss  0.895013, Average Loss  0.869204, Time  0.451349
2021-09-10 09:17:20.765444 : Epoch  9, Batch   3239, Loss  0.850339, Average Loss  0.869295, Time  0.359423
2021-09-10 09:17:22.536104 : Epoch  9, Batch   3240, Loss  0.845671, Average Loss  0.869224, Time  0.361606
2021-09-10 09:17:24.352850 : Epoch  9, Batch   3241, Loss  0.860070, Average Loss  0.869227, Time  0.392567
2021-09-10 09:17:26.231901 : Epoch  9, Batch   3242, Loss  0.893452, Average Loss  0.869514, Time  0.457134
2021-09-10 09:17:28.024766 : Epoch  9, Batch   3243, Loss  0.894158, Average Loss  0.869722, Time  0.362693
2021-09-10 09:17:29.791111 : Epoch  9, Batch   3244, Loss  0.832035, Average Loss  0.869468, Time  0.373261
2021-09-10 09:17:31.664774 : Epoch  9, Batch   3245, Loss  0.858971, Average Loss  0.869385, Time  0.400733
2021-09-10 09:17:33.443104 : Epoch  9, Batch   3246, Loss  0.861063, Average Loss  0.869257, Time  0.359628
2021-09-10 09:17:35.210889 : Epoch  9, Batch   3247, Loss  0.888189, Average Loss  0.869285, Time  0.356773
2021-09-10 09:17:37.090773 : Epoch  9, Batch   3248, Loss  0.867441, Average Loss  0.869334, Time  0.455075
2021-09-10 09:17:38.968831 : Epoch  9, Batch   3249, Loss  0.852705, Average Loss  0.869173, Time  0.461050
2021-09-10 09:17:40.740770 : Epoch  9, Batch   3250, Loss  0.858916, Average Loss  0.869129, Time  0.363995
2021-09-10 09:17:42.515061 : Epoch  9, Batch   3251, Loss  0.883208, Average Loss  0.869218, Time  0.365079
2021-09-10 09:17:44.344775 : Epoch  9, Batch   3252, Loss  0.880415, Average Loss  0.869359, Time  0.409580
2021-09-10 09:17:46.224109 : Epoch  9, Batch   3253, Loss  0.876236, Average Loss  0.869325, Time  0.460705
2021-09-10 09:17:48.031772 : Epoch  9, Batch   3254, Loss  0.846000, Average Loss  0.869127, Time  0.361794
2021-09-10 09:17:49.783775 : Epoch  9, Batch   3255, Loss  0.857767, Average Loss  0.869056, Time  0.361798
2021-09-10 09:17:51.580764 : Epoch  9, Batch   3256, Loss  0.859833, Average Loss  0.868966, Time  0.376113
2021-09-10 09:17:53.434817 : Epoch  9, Batch   3257, Loss  0.859239, Average Loss  0.868854, Time  0.451149
2021-09-10 09:17:55.213969 : Epoch  9, Batch   3258, Loss  0.890903, Average Loss  0.868895, Time  0.361696
2021-09-10 09:17:57.003910 : Epoch  9, Batch   3259, Loss  0.860301, Average Loss  0.868870, Time  0.358133
2021-09-10 09:17:58.830831 : Epoch  9, Batch   3260, Loss  0.858717, Average Loss  0.868733, Time  0.401747
2021-09-10 09:18:00.710230 : Epoch  9, Batch   3261, Loss  0.861810, Average Loss  0.868628, Time  0.451524
2021-09-10 09:18:02.484437 : Epoch  9, Batch   3262, Loss  0.892441, Average Loss  0.868749, Time  0.366592
2021-09-10 09:18:04.262111 : Epoch  9, Batch   3263, Loss  0.885739, Average Loss  0.868828, Time  0.356768
2021-09-10 09:18:06.059886 : Epoch  9, Batch   3264, Loss  0.864136, Average Loss  0.868882, Time  0.399369
2021-09-10 09:18:07.926927 : Epoch  9, Batch   3265, Loss  0.866437, Average Loss  0.868862, Time  0.450812
2021-09-10 09:18:09.742113 : Epoch  9, Batch   3266, Loss  0.883071, Average Loss  0.868899, Time  0.356881
2021-09-10 09:18:11.498921 : Epoch  9, Batch   3267, Loss  0.837549, Average Loss  0.868851, Time  0.356972
2021-09-10 09:18:13.290778 : Epoch  9, Batch   3268, Loss  0.908053, Average Loss  0.868968, Time  0.391322
2021-09-10 09:18:15.197831 : Epoch  9, Batch   3269, Loss  0.860092, Average Loss  0.868939, Time  0.471783
2021-09-10 09:18:16.954771 : Epoch  9, Batch   3270, Loss  0.884147, Average Loss  0.869025, Time  0.361652
2021-09-10 09:18:18.729778 : Epoch  9, Batch   3271, Loss  0.890241, Average Loss  0.869081, Time  0.361911
2021-09-10 09:18:20.542026 : Epoch  9, Batch   3272, Loss  0.867724, Average Loss  0.869061, Time  0.390629
2021-09-10 09:18:22.422784 : Epoch  9, Batch   3273, Loss  0.854122, Average Loss  0.868880, Time  0.455191
2021-09-10 09:18:24.211094 : Epoch  9, Batch   3274, Loss  0.869986, Average Loss  0.868910, Time  0.362495
2021-09-10 09:18:25.971874 : Epoch  9, Batch   3275, Loss  0.857353, Average Loss  0.868941, Time  0.365440
2021-09-10 09:18:27.776099 : Epoch  9, Batch   3276, Loss  0.848853, Average Loss  0.868889, Time  0.400251
2021-09-10 09:18:29.641787 : Epoch  9, Batch   3277, Loss  0.852408, Average Loss  0.868832, Time  0.452823
2021-09-10 09:18:31.407001 : Epoch  9, Batch   3278, Loss  0.850218, Average Loss  0.868607, Time  0.356621
2021-09-10 09:18:33.231799 : Epoch  9, Batch   3279, Loss  0.880582, Average Loss  0.868684, Time  0.355605
2021-09-10 09:18:35.041779 : Epoch  9, Batch   3280, Loss  0.884758, Average Loss  0.868877, Time  0.388260
2021-09-10 09:18:36.929776 : Epoch  9, Batch   3281, Loss  0.877135, Average Loss  0.868883, Time  0.451936
2021-09-10 09:18:38.729097 : Epoch  9, Batch   3282, Loss  0.857255, Average Loss  0.868878, Time  0.365444
2021-09-10 09:18:40.506773 : Epoch  9, Batch   3283, Loss  0.892698, Average Loss  0.868899, Time  0.367429
2021-09-10 09:18:42.295815 : Epoch  9, Batch   3284, Loss  0.849595, Average Loss  0.868776, Time  0.370026
2021-09-10 09:18:44.174302 : Epoch  9, Batch   3285, Loss  0.917120, Average Loss  0.868993, Time  0.456762
2021-09-10 09:18:45.933011 : Epoch  9, Batch   3286, Loss  0.895184, Average Loss  0.869163, Time  0.361406
2021-09-10 09:18:47.702761 : Epoch  9, Batch   3287, Loss  0.888878, Average Loss  0.869228, Time  0.356585
2021-09-10 09:18:49.511776 : Epoch  9, Batch   3288, Loss  0.852323, Average Loss  0.869034, Time  0.409214
2021-09-10 09:18:51.380902 : Epoch  9, Batch   3289, Loss  0.845716, Average Loss  0.869003, Time  0.467736
2021-09-10 09:18:53.176796 : Epoch  9, Batch   3290, Loss  0.843219, Average Loss  0.868778, Time  0.355488
2021-09-10 09:18:54.978778 : Epoch  9, Batch   3291, Loss  0.842296, Average Loss  0.868659, Time  0.357202
2021-09-10 09:18:56.787766 : Epoch  9, Batch   3292, Loss  0.852866, Average Loss  0.868556, Time  0.381081
2021-09-10 09:18:58.682051 : Epoch  9, Batch   3293, Loss  0.893084, Average Loss  0.868689, Time  0.451132
2021-09-10 09:19:00.470778 : Epoch  9, Batch   3294, Loss  0.870906, Average Loss  0.868774, Time  0.360816
2021-09-10 09:19:02.253515 : Epoch  9, Batch   3295, Loss  0.886223, Average Loss  0.868941, Time  0.357759
2021-09-10 09:19:04.038763 : Epoch  9, Batch   3296, Loss  0.861701, Average Loss  0.868985, Time  0.384431
2021-09-10 09:19:05.916942 : Epoch  9, Batch   3297, Loss  0.843289, Average Loss  0.868921, Time  0.454401
2021-09-10 09:19:07.695781 : Epoch  9, Batch   3298, Loss  0.873771, Average Loss  0.868884, Time  0.359657
2021-09-10 09:19:09.487940 : Epoch  9, Batch   3299, Loss  0.855053, Average Loss  0.868819, Time  0.362952
2021-09-10 09:19:11.280020 : Epoch  9, Batch   3300, Loss  0.881863, Average Loss  0.868821, Time  0.386955
2021-09-10 09:19:13.151111 : Epoch  9, Batch   3301, Loss  0.857917, Average Loss  0.868634, Time  0.470981
2021-09-10 09:19:14.923933 : Epoch  9, Batch   3302, Loss  0.891846, Average Loss  0.868732, Time  0.357719
2021-09-10 09:19:16.700980 : Epoch  9, Batch   3303, Loss  0.864700, Average Loss  0.868707, Time  0.356573
2021-09-10 09:19:18.510010 : Epoch  9, Batch   3304, Loss  0.873084, Average Loss  0.868745, Time  0.402942
2021-09-10 09:19:20.389826 : Epoch  9, Batch   3305, Loss  0.885650, Average Loss  0.869006, Time  0.451965
2021-09-10 09:19:22.136638 : Epoch  9, Batch   3306, Loss  0.841443, Average Loss  0.868947, Time  0.355702
2021-09-10 09:19:23.901765 : Epoch  9, Batch   3307, Loss  0.900798, Average Loss  0.868991, Time  0.358201
2021-09-10 09:19:25.713778 : Epoch  9, Batch   3308, Loss  0.866427, Average Loss  0.868804, Time  0.404330
2021-09-10 09:19:27.562925 : Epoch  9, Batch   3309, Loss  0.868278, Average Loss  0.868766, Time  0.454636
2021-09-10 09:19:29.328761 : Epoch  9, Batch   3310, Loss  0.856328, Average Loss  0.868627, Time  0.365702
2021-09-10 09:19:31.115097 : Epoch  9, Batch   3311, Loss  0.855809, Average Loss  0.868498, Time  0.377715
2021-09-10 09:19:38.410233 : Epoch  9, Batch   3312, Loss  0.873505, Average Loss  0.868546, Time  0.367421
2021-09-10 09:24:29.463737 : CheckPoint: Validation Loss  0.00059843, Best Loss  0.00056427
2021-09-10 09:24:31.238002 : Epoch  9, Batch   3313, Loss  0.867950, Average Loss  0.868427, Time  0.340382
2021-09-10 09:24:33.026773 : Epoch  9, Batch   3314, Loss  0.840413, Average Loss  0.868320, Time  0.365343
2021-09-10 09:24:34.829079 : Epoch  9, Batch   3315, Loss  0.891540, Average Loss  0.868356, Time  0.368998
2021-09-10 09:24:36.698777 : Epoch  9, Batch   3316, Loss  0.864902, Average Loss  0.868265, Time  0.451557
2021-09-10 09:24:38.498848 : Epoch  9, Batch   3317, Loss  0.899352, Average Loss  0.868390, Time  0.355130
2021-09-10 09:24:40.286788 : Epoch  9, Batch   3318, Loss  0.900417, Average Loss  0.868686, Time  0.372590
2021-09-10 09:24:42.090764 : Epoch  9, Batch   3319, Loss  0.888797, Average Loss  0.868643, Time  0.374524
2021-09-10 09:24:43.944803 : Epoch  9, Batch   3320, Loss  0.898429, Average Loss  0.868735, Time  0.452582
2021-09-10 09:24:45.703959 : Epoch  9, Batch   3321, Loss  0.859182, Average Loss  0.868695, Time  0.355811
2021-09-10 09:24:47.489775 : Epoch  9, Batch   3322, Loss  0.824251, Average Loss  0.868464, Time  0.362628
2021-09-10 09:24:49.287488 : Epoch  9, Batch   3323, Loss  0.862805, Average Loss  0.868366, Time  0.393824
2021-09-10 09:24:51.189110 : Epoch  9, Batch   3324, Loss  0.837201, Average Loss  0.868165, Time  0.457690
2021-09-10 09:24:52.971764 : Epoch  9, Batch   3325, Loss  0.851903, Average Loss  0.868049, Time  0.356999
2021-09-10 09:24:54.772103 : Epoch  9, Batch   3326, Loss  0.866599, Average Loss  0.868028, Time  0.356122
2021-09-10 09:24:56.563796 : Epoch  9, Batch   3327, Loss  0.846122, Average Loss  0.867937, Time  0.389848
2021-09-10 09:24:58.454119 : Epoch  9, Batch   3328, Loss  0.873338, Average Loss  0.867961, Time  0.468981
2021-09-10 09:25:00.218098 : Epoch  9, Batch   3329, Loss  0.875762, Average Loss  0.867933, Time  0.356721
2021-09-10 09:25:01.976111 : Epoch  9, Batch   3330, Loss  0.862153, Average Loss  0.868074, Time  0.356467
2021-09-10 09:25:03.811966 : Epoch  9, Batch   3331, Loss  0.891553, Average Loss  0.868244, Time  0.391846
2021-09-10 09:25:05.712832 : Epoch  9, Batch   3332, Loss  0.860041, Average Loss  0.868206, Time  0.457627
2021-09-10 09:25:07.564742 : Epoch  9, Batch   3333, Loss  0.859925, Average Loss  0.868105, Time  0.408263
2021-09-10 09:25:09.321621 : Epoch  9, Batch   3334, Loss  0.855952, Average Loss  0.867946, Time  0.358587
2021-09-10 09:25:11.092846 : Epoch  9, Batch   3335, Loss  0.864009, Average Loss  0.868071, Time  0.362217
2021-09-10 09:25:12.962152 : Epoch  9, Batch   3336, Loss  0.889225, Average Loss  0.868028, Time  0.455732
2021-09-10 09:25:14.833476 : Epoch  9, Batch   3337, Loss  0.869421, Average Loss  0.867984, Time  0.455763
2021-09-10 09:25:16.614638 : Epoch  9, Batch   3338, Loss  0.854453, Average Loss  0.867911, Time  0.367233
2021-09-10 09:25:18.403813 : Epoch  9, Batch   3339, Loss  0.879168, Average Loss  0.868002, Time  0.356755
2021-09-10 09:25:20.229773 : Epoch  9, Batch   3340, Loss  0.851081, Average Loss  0.867969, Time  0.398163
2021-09-10 09:25:22.144102 : Epoch  9, Batch   3341, Loss  0.895093, Average Loss  0.868240, Time  0.458719
2021-09-10 09:25:23.949888 : Epoch  9, Batch   3342, Loss  0.881603, Average Loss  0.868386, Time  0.371121
2021-09-10 09:25:25.701035 : Epoch  9, Batch   3343, Loss  0.840686, Average Loss  0.868215, Time  0.358046
2021-09-10 09:25:27.471900 : Epoch  9, Batch   3344, Loss  0.872028, Average Loss  0.868032, Time  0.357735
2021-09-10 09:25:29.364111 : Epoch  9, Batch   3345, Loss  0.878397, Average Loss  0.868067, Time  0.467241
2021-09-10 09:25:31.290791 : Epoch  9, Batch   3346, Loss  0.861024, Average Loss  0.867998, Time  0.446438
2021-09-10 09:25:33.080246 : Epoch  9, Batch   3347, Loss  0.847999, Average Loss  0.867772, Time  0.358968
2021-09-10 09:25:34.858772 : Epoch  9, Batch   3348, Loss  0.893836, Average Loss  0.867975, Time  0.362478
2021-09-10 09:25:36.682115 : Epoch  9, Batch   3349, Loss  0.852354, Average Loss  0.867742, Time  0.408602
2021-09-10 09:25:38.559475 : Epoch  9, Batch   3350, Loss  0.869415, Average Loss  0.867913, Time  0.455588
2021-09-10 09:25:40.323780 : Epoch  9, Batch   3351, Loss  0.900191, Average Loss  0.867974, Time  0.356531
2021-09-10 09:25:42.080788 : Epoch  9, Batch   3352, Loss  0.855825, Average Loss  0.868004, Time  0.354502
2021-09-10 09:25:43.878389 : Epoch  9, Batch   3353, Loss  0.850933, Average Loss  0.867903, Time  0.389885
2021-09-10 09:25:45.722411 : Epoch  9, Batch   3354, Loss  0.888227, Average Loss  0.868086, Time  0.453009
2021-09-10 09:25:47.477382 : Epoch  9, Batch   3355, Loss  0.853984, Average Loss  0.868114, Time  0.365144
2021-09-10 09:25:49.232775 : Epoch  9, Batch   3356, Loss  0.852059, Average Loss  0.868142, Time  0.360411
2021-09-10 09:25:51.062113 : Epoch  9, Batch   3357, Loss  0.847750, Average Loss  0.868051, Time  0.415002
2021-09-10 09:25:52.919779 : Epoch  9, Batch   3358, Loss  0.863196, Average Loss  0.868009, Time  0.451309
2021-09-10 09:25:54.685427 : Epoch  9, Batch   3359, Loss  0.854799, Average Loss  0.867941, Time  0.356736
2021-09-10 09:25:56.455799 : Epoch  9, Batch   3360, Loss  0.900637, Average Loss  0.868040, Time  0.355995
2021-09-10 09:25:58.265092 : Epoch  9, Batch   3361, Loss  0.888420, Average Loss  0.868241, Time  0.398596
2021-09-10 09:26:00.119919 : Epoch  9, Batch   3362, Loss  0.835500, Average Loss  0.868117, Time  0.451787
2021-09-10 09:26:01.894097 : Epoch  9, Batch   3363, Loss  0.867534, Average Loss  0.868062, Time  0.373482
2021-09-10 09:26:03.656773 : Epoch  9, Batch   3364, Loss  0.878756, Average Loss  0.868108, Time  0.357088
2021-09-10 09:26:05.500092 : Epoch  9, Batch   3365, Loss  0.861023, Average Loss  0.868155, Time  0.417931
2021-09-10 09:26:07.382008 : Epoch  9, Batch   3366, Loss  0.868525, Average Loss  0.868157, Time  0.467731
2021-09-10 09:26:09.156807 : Epoch  9, Batch   3367, Loss  0.880545, Average Loss  0.868243, Time  0.361004
2021-09-10 09:26:10.954781 : Epoch  9, Batch   3368, Loss  0.879485, Average Loss  0.868213, Time  0.362671
2021-09-10 09:26:12.741804 : Epoch  9, Batch   3369, Loss  0.849572, Average Loss  0.868168, Time  0.391788
2021-09-10 09:26:14.628220 : Epoch  9, Batch   3370, Loss  0.853085, Average Loss  0.868104, Time  0.455607
2021-09-10 09:26:16.385989 : Epoch  9, Batch   3371, Loss  0.854333, Average Loss  0.868060, Time  0.365479
2021-09-10 09:26:18.153482 : Epoch  9, Batch   3372, Loss  0.867299, Average Loss  0.868011, Time  0.359824
2021-09-10 09:26:19.991776 : Epoch  9, Batch   3373, Loss  0.883514, Average Loss  0.868139, Time  0.396160
2021-09-10 09:26:21.870897 : Epoch  9, Batch   3374, Loss  0.866396, Average Loss  0.868289, Time  0.454454
2021-09-10 09:26:23.669900 : Epoch  9, Batch   3375, Loss  0.846279, Average Loss  0.868203, Time  0.349571
2021-09-10 09:26:25.474778 : Epoch  9, Batch   3376, Loss  0.871678, Average Loss  0.868326, Time  0.367929
2021-09-10 09:26:27.250376 : Epoch  9, Batch   3377, Loss  0.884933, Average Loss  0.868525, Time  0.361788
2021-09-10 09:26:29.114944 : Epoch  9, Batch   3378, Loss  0.889413, Average Loss  0.868709, Time  0.451803
2021-09-10 09:26:30.894343 : Epoch  9, Batch   3379, Loss  0.848419, Average Loss  0.868432, Time  0.365456
2021-09-10 09:26:32.706772 : Epoch  9, Batch   3380, Loss  0.879708, Average Loss  0.868503, Time  0.368250
2021-09-10 09:26:34.508183 : Epoch  9, Batch   3381, Loss  0.879241, Average Loss  0.868546, Time  0.397633
2021-09-10 09:26:36.398764 : Epoch  9, Batch   3382, Loss  0.853723, Average Loss  0.868463, Time  0.485690
2021-09-10 09:26:38.187777 : Epoch  9, Batch   3383, Loss  0.866694, Average Loss  0.868426, Time  0.368912
2021-09-10 09:26:39.941537 : Epoch  9, Batch   3384, Loss  0.895478, Average Loss  0.868638, Time  0.357402
2021-09-10 09:26:41.761765 : Epoch  9, Batch   3385, Loss  0.867344, Average Loss  0.868617, Time  0.412350
2021-09-10 09:26:43.633106 : Epoch  9, Batch   3386, Loss  0.884576, Average Loss  0.868668, Time  0.463745
2021-09-10 09:26:45.414964 : Epoch  9, Batch   3387, Loss  0.864149, Average Loss  0.868620, Time  0.358233
2021-09-10 09:26:47.189124 : Epoch  9, Batch   3388, Loss  0.880961, Average Loss  0.868602, Time  0.359292
2021-09-10 09:26:48.981808 : Epoch  9, Batch   3389, Loss  0.858652, Average Loss  0.868608, Time  0.396966
2021-09-10 09:26:50.853775 : Epoch  9, Batch   3390, Loss  0.881383, Average Loss  0.868639, Time  0.451904
2021-09-10 09:26:52.641099 : Epoch  9, Batch   3391, Loss  0.871196, Average Loss  0.868670, Time  0.365128
2021-09-10 09:26:54.432775 : Epoch  9, Batch   3392, Loss  0.889319, Average Loss  0.868871, Time  0.363249
2021-09-10 09:26:56.228882 : Epoch  9, Batch   3393, Loss  0.882331, Average Loss  0.868945, Time  0.386901
2021-09-10 09:26:58.097043 : Epoch  9, Batch   3394, Loss  0.856330, Average Loss  0.868815, Time  0.450556
2021-09-10 09:26:59.931778 : Epoch  9, Batch   3395, Loss  0.852374, Average Loss  0.868801, Time  0.378597
2021-09-10 09:27:01.725424 : Epoch  9, Batch   3396, Loss  0.848757, Average Loss  0.868444, Time  0.360024
2021-09-10 09:27:03.512154 : Epoch  9, Batch   3397, Loss  0.896592, Average Loss  0.868603, Time  0.389037
2021-09-10 09:27:05.371787 : Epoch  9, Batch   3398, Loss  0.856939, Average Loss  0.868503, Time  0.452455
2021-09-10 09:27:07.166805 : Epoch  9, Batch   3399, Loss  0.865565, Average Loss  0.868536, Time  0.368879
2021-09-10 09:27:08.958723 : Epoch  9, Batch   3400, Loss  0.847890, Average Loss  0.868308, Time  0.362990
2021-09-10 09:27:10.741773 : Epoch  9, Batch   3401, Loss  0.865187, Average Loss  0.868307, Time  0.384778
2021-09-10 09:27:12.648880 : Epoch  9, Batch   3402, Loss  0.862806, Average Loss  0.868411, Time  0.470795
2021-09-10 09:27:14.409780 : Epoch  9, Batch   3403, Loss  0.882491, Average Loss  0.868516, Time  0.343639
2021-09-10 09:27:16.167851 : Epoch  9, Batch   3404, Loss  0.875822, Average Loss  0.868458, Time  0.360509
2021-09-10 09:27:17.958777 : Epoch  9, Batch   3405, Loss  0.877732, Average Loss  0.868498, Time  0.376129
2021-09-10 09:27:19.813192 : Epoch  9, Batch   3406, Loss  0.873057, Average Loss  0.868528, Time  0.453253
2021-09-10 09:27:21.576777 : Epoch  9, Batch   3407, Loss  0.885562, Average Loss  0.868509, Time  0.355571
2021-09-10 09:27:23.377777 : Epoch  9, Batch   3408, Loss  0.868168, Average Loss  0.868363, Time  0.363037
2021-09-10 09:27:25.191433 : Epoch  9, Batch   3409, Loss  0.885095, Average Loss  0.868559, Time  0.385523
2021-09-10 09:27:27.050232 : Epoch  9, Batch   3410, Loss  0.842160, Average Loss  0.868491, Time  0.456684
2021-09-10 09:27:28.822094 : Epoch  9, Batch   3411, Loss  0.869162, Average Loss  0.868597, Time  0.359537
2021-09-10 09:27:30.613868 : Epoch  9, Batch   3412, Loss  0.872262, Average Loss  0.868532, Time  0.356717
2021-09-10 09:32:21.492715 : CheckPoint: Validation Loss  0.00061958, Best Loss  0.00056427
2021-09-10 09:32:23.347328 : Epoch  9, Batch   3413, Loss  0.881177, Average Loss  0.868607, Time  0.415469
2021-09-10 09:32:25.137779 : Epoch  9, Batch   3414, Loss  0.856411, Average Loss  0.868412, Time  0.372839
2021-09-10 09:32:26.911805 : Epoch  9, Batch   3415, Loss  0.866701, Average Loss  0.868423, Time  0.361298
2021-09-10 09:32:28.771774 : Epoch  9, Batch   3416, Loss  0.877472, Average Loss  0.868503, Time  0.443544
2021-09-10 09:32:30.665790 : Epoch  9, Batch   3417, Loss  0.866330, Average Loss  0.868528, Time  0.458128
2021-09-10 09:32:32.449774 : Epoch  9, Batch   3418, Loss  0.864827, Average Loss  0.868479, Time  0.350941
2021-09-10 09:32:34.220102 : Epoch  9, Batch   3419, Loss  0.855091, Average Loss  0.868192, Time  0.363658
2021-09-10 09:32:36.005963 : Epoch  9, Batch   3420, Loss  0.903779, Average Loss  0.868264, Time  0.382732
2021-09-10 09:32:37.879764 : Epoch  9, Batch   3421, Loss  0.880392, Average Loss  0.868340, Time  0.461911
2021-09-10 09:32:39.660922 : Epoch  9, Batch   3422, Loss  0.860430, Average Loss  0.868237, Time  0.336654
2021-09-10 09:32:41.456103 : Epoch  9, Batch   3423, Loss  0.880726, Average Loss  0.868164, Time  0.360135
2021-09-10 09:32:43.226762 : Epoch  9, Batch   3424, Loss  0.865266, Average Loss  0.868157, Time  0.358252
2021-09-10 09:32:45.092773 : Epoch  9, Batch   3425, Loss  0.881694, Average Loss  0.868300, Time  0.467608
2021-09-10 09:32:46.856108 : Epoch  9, Batch   3426, Loss  0.851852, Average Loss  0.868188, Time  0.357714
2021-09-10 09:32:48.663897 : Epoch  9, Batch   3427, Loss  0.863590, Average Loss  0.868238, Time  0.356535
2021-09-10 09:32:50.472766 : Epoch  9, Batch   3428, Loss  0.869347, Average Loss  0.868245, Time  0.371570
2021-09-10 09:32:52.348104 : Epoch  9, Batch   3429, Loss  0.868141, Average Loss  0.868272, Time  0.457264
2021-09-10 09:32:54.127156 : Epoch  9, Batch   3430, Loss  0.840078, Average Loss  0.868288, Time  0.361108
2021-09-10 09:32:55.911774 : Epoch  9, Batch   3431, Loss  0.869390, Average Loss  0.868292, Time  0.369567
2021-09-10 09:32:57.726763 : Epoch  9, Batch   3432, Loss  0.869514, Average Loss  0.868481, Time  0.386934
2021-09-10 09:32:59.632763 : Epoch  9, Batch   3433, Loss  0.837328, Average Loss  0.868470, Time  0.468282
2021-09-10 09:33:01.508742 : Epoch  9, Batch   3434, Loss  0.863070, Average Loss  0.868401, Time  0.431833
2021-09-10 09:33:03.274107 : Epoch  9, Batch   3435, Loss  0.881117, Average Loss  0.868434, Time  0.358186
2021-09-10 09:33:05.043815 : Epoch  9, Batch   3436, Loss  0.866443, Average Loss  0.868467, Time  0.355643
2021-09-10 09:33:06.911762 : Epoch  9, Batch   3437, Loss  0.917670, Average Loss  0.868718, Time  0.463862
2021-09-10 09:33:08.799779 : Epoch  9, Batch   3438, Loss  0.854927, Average Loss  0.868517, Time  0.451554
2021-09-10 09:33:10.801087 : Epoch  9, Batch   3439, Loss  0.837781, Average Loss  0.868455, Time  0.448107
2021-09-10 09:33:12.561106 : Epoch  9, Batch   3440, Loss  0.872750, Average Loss  0.868590, Time  0.364574
2021-09-10 09:33:14.322812 : Epoch  9, Batch   3441, Loss  0.876853, Average Loss  0.868674, Time  0.358298
2021-09-10 09:33:16.175777 : Epoch  9, Batch   3442, Loss  0.858871, Average Loss  0.868501, Time  0.421841
2021-09-10 09:33:18.062094 : Epoch  9, Batch   3443, Loss  0.885027, Average Loss  0.868455, Time  0.452497
2021-09-10 09:33:19.820771 : Epoch  9, Batch   3444, Loss  0.845664, Average Loss  0.868523, Time  0.364982
2021-09-10 09:33:21.644788 : Epoch  9, Batch   3445, Loss  0.854458, Average Loss  0.868501, Time  0.382638
2021-09-10 09:33:23.457793 : Epoch  9, Batch   3446, Loss  0.887690, Average Loss  0.868634, Time  0.369425
2021-09-10 09:33:25.318513 : Epoch  9, Batch   3447, Loss  0.898042, Average Loss  0.868683, Time  0.457422
2021-09-10 09:33:27.120237 : Epoch  9, Batch   3448, Loss  0.846307, Average Loss  0.868578, Time  0.355635
2021-09-10 09:33:28.893778 : Epoch  9, Batch   3449, Loss  0.861735, Average Loss  0.868623, Time  0.362421
2021-09-10 09:33:30.677832 : Epoch  9, Batch   3450, Loss  0.852754, Average Loss  0.868592, Time  0.366426
2021-09-10 09:33:32.569250 : Epoch  9, Batch   3451, Loss  0.837557, Average Loss  0.868364, Time  0.470123
2021-09-10 09:33:34.342933 : Epoch  9, Batch   3452, Loss  0.850559, Average Loss  0.868214, Time  0.349957
2021-09-10 09:33:36.095914 : Epoch  9, Batch   3453, Loss  0.842186, Average Loss  0.868044, Time  0.358576
2021-09-10 09:33:37.893774 : Epoch  9, Batch   3454, Loss  0.888138, Average Loss  0.868255, Time  0.377564
2021-09-10 09:33:39.770846 : Epoch  9, Batch   3455, Loss  0.877442, Average Loss  0.868353, Time  0.455043
2021-09-10 09:33:41.562104 : Epoch  9, Batch   3456, Loss  0.859710, Average Loss  0.868353, Time  0.356157
2021-09-10 09:33:43.330099 : Epoch  9, Batch   3457, Loss  0.891794, Average Loss  0.868515, Time  0.358763
2021-09-10 09:33:45.115201 : Epoch  9, Batch   3458, Loss  0.849000, Average Loss  0.868306, Time  0.380085
2021-09-10 09:33:46.982776 : Epoch  9, Batch   3459, Loss  0.869260, Average Loss  0.868351, Time  0.459189
2021-09-10 09:33:48.774777 : Epoch  9, Batch   3460, Loss  0.905214, Average Loss  0.868583, Time  0.355837
2021-09-10 09:33:50.566757 : Epoch  9, Batch   3461, Loss  0.874066, Average Loss  0.868644, Time  0.370693
2021-09-10 09:33:52.358776 : Epoch  9, Batch   3462, Loss  0.889696, Average Loss  0.868631, Time  0.391303
2021-09-10 09:33:54.218736 : Epoch  9, Batch   3463, Loss  0.871520, Average Loss  0.868560, Time  0.453910
2021-09-10 09:33:55.977813 : Epoch  9, Batch   3464, Loss  0.844463, Average Loss  0.868461, Time  0.355889
2021-09-10 09:33:57.764521 : Epoch  9, Batch   3465, Loss  0.861949, Average Loss  0.868439, Time  0.363328
2021-09-10 09:33:59.586762 : Epoch  9, Batch   3466, Loss  0.880211, Average Loss  0.868425, Time  0.396754
2021-09-10 09:34:01.485804 : Epoch  9, Batch   3467, Loss  0.865602, Average Loss  0.868565, Time  0.451592
2021-09-10 09:34:03.254771 : Epoch  9, Batch   3468, Loss  0.854222, Average Loss  0.868296, Time  0.342864
2021-09-10 09:34:05.052759 : Epoch  9, Batch   3469, Loss  0.895265, Average Loss  0.868471, Time  0.370569
2021-09-10 09:34:06.828759 : Epoch  9, Batch   3470, Loss  0.867743, Average Loss  0.868389, Time  0.376672
2021-09-10 09:34:08.684778 : Epoch  9, Batch   3471, Loss  0.874316, Average Loss  0.868310, Time  0.454550
2021-09-10 09:34:10.481760 : Epoch  9, Batch   3472, Loss  0.879486, Average Loss  0.868369, Time  0.364222
2021-09-10 09:34:12.271773 : Epoch  9, Batch   3473, Loss  0.886407, Average Loss  0.868530, Time  0.361830
2021-09-10 09:34:14.072759 : Epoch  9, Batch   3474, Loss  0.875173, Average Loss  0.868556, Time  0.382456
2021-09-10 09:34:15.965765 : Epoch  9, Batch   3475, Loss  0.875632, Average Loss  0.868647, Time  0.457491
2021-09-10 09:34:17.732942 : Epoch  9, Batch   3476, Loss  0.875428, Average Loss  0.868780, Time  0.357096
2021-09-10 09:34:19.508497 : Epoch  9, Batch   3477, Loss  0.863043, Average Loss  0.868833, Time  0.365106
2021-09-10 09:34:21.291800 : Epoch  9, Batch   3478, Loss  0.867614, Average Loss  0.868920, Time  0.384935
2021-09-10 09:34:23.162773 : Epoch  9, Batch   3479, Loss  0.855666, Average Loss  0.868796, Time  0.463222
2021-09-10 09:34:24.939764 : Epoch  9, Batch   3480, Loss  0.878196, Average Loss  0.868763, Time  0.357499
2021-09-10 09:34:26.715773 : Epoch  9, Batch   3481, Loss  0.863760, Average Loss  0.868696, Time  0.362285
2021-09-10 09:34:28.526092 : Epoch  9, Batch   3482, Loss  0.860458, Average Loss  0.868712, Time  0.395877
2021-09-10 09:34:30.383948 : Epoch  9, Batch   3483, Loss  0.896073, Average Loss  0.868729, Time  0.458864
2021-09-10 09:34:32.162903 : Epoch  9, Batch   3484, Loss  0.855551, Average Loss  0.868759, Time  0.356261
2021-09-10 09:34:33.954969 : Epoch  9, Batch   3485, Loss  0.877620, Average Loss  0.868561, Time  0.365740
2021-09-10 09:34:35.748094 : Epoch  9, Batch   3486, Loss  0.873424, Average Loss  0.868453, Time  0.399630
2021-09-10 09:34:37.661114 : Epoch  9, Batch   3487, Loss  0.919195, Average Loss  0.868604, Time  0.475411
2021-09-10 09:34:39.541079 : Epoch  9, Batch   3488, Loss  0.868115, Average Loss  0.868683, Time  0.424886
2021-09-10 09:34:41.315897 : Epoch  9, Batch   3489, Loss  0.859345, Average Loss  0.868751, Time  0.360947
2021-09-10 09:34:43.079240 : Epoch  9, Batch   3490, Loss  0.839544, Average Loss  0.868733, Time  0.356161
2021-09-10 09:34:44.912936 : Epoch  9, Batch   3491, Loss  0.875809, Average Loss  0.868900, Time  0.436090
2021-09-10 09:34:46.781230 : Epoch  9, Batch   3492, Loss  0.863654, Average Loss  0.868954, Time  0.454736
2021-09-10 09:34:48.558816 : Epoch  9, Batch   3493, Loss  0.871026, Average Loss  0.868844, Time  0.356572
2021-09-10 09:34:50.360122 : Epoch  9, Batch   3494, Loss  0.880143, Average Loss  0.868890, Time  0.363309
2021-09-10 09:34:52.172528 : Epoch  9, Batch   3495, Loss  0.859513, Average Loss  0.868757, Time  0.392690
2021-09-10 09:34:54.051758 : Epoch  9, Batch   3496, Loss  0.879496, Average Loss  0.868846, Time  0.469198
2021-09-10 09:34:55.826183 : Epoch  9, Batch   3497, Loss  0.842469, Average Loss  0.868842, Time  0.358174
2021-09-10 09:34:57.584775 : Epoch  9, Batch   3498, Loss  0.877775, Average Loss  0.868862, Time  0.361624
2021-09-10 09:34:59.415097 : Epoch  9, Batch   3499, Loss  0.856560, Average Loss  0.868869, Time  0.394798
2021-09-10 09:35:01.316781 : Epoch  9, Batch   3500, Loss  0.863023, Average Loss  0.868775, Time  0.458753
2021-09-10 09:35:03.092316 : Epoch  9, Batch   3501, Loss  0.859826, Average Loss  0.868784, Time  0.352605
2021-09-10 09:35:04.856764 : Epoch  9, Batch   3502, Loss  0.887860, Average Loss  0.868765, Time  0.359519
2021-09-10 09:35:06.644612 : Epoch  9, Batch   3503, Loss  0.870353, Average Loss  0.868793, Time  0.374563
2021-09-10 09:35:08.562771 : Epoch  9, Batch   3504, Loss  0.866452, Average Loss  0.868760, Time  0.452252
2021-09-10 09:35:10.322315 : Epoch  9, Batch   3505, Loss  0.866063, Average Loss  0.868662, Time  0.354624
2021-09-10 09:35:12.093109 : Epoch  9, Batch   3506, Loss  0.851524, Average Loss  0.868712, Time  0.356824
2021-09-10 09:35:13.878878 : Epoch  9, Batch   3507, Loss  0.903672, Average Loss  0.868726, Time  0.375152
2021-09-10 09:35:15.767092 : Epoch  9, Batch   3508, Loss  0.865292, Average Loss  0.868721, Time  0.457522
2021-09-10 09:35:17.543852 : Epoch  9, Batch   3509, Loss  0.878966, Average Loss  0.868774, Time  0.367136
2021-09-10 09:35:19.313111 : Epoch  9, Batch   3510, Loss  0.839264, Average Loss  0.868689, Time  0.356530
2021-09-10 09:35:21.094175 : Epoch  9, Batch   3511, Loss  0.874749, Average Loss  0.868784, Time  0.378630
2021-09-10 09:35:22.985113 : Epoch  9, Batch   3512, Loss  0.858745, Average Loss  0.868710, Time  0.455489
2021-09-10 09:40:13.687004 : CheckPoint: Validation Loss  0.00060757, Best Loss  0.00056427
2021-09-10 09:40:15.449010 : Epoch  9, Batch   3513, Loss  0.861321, Average Loss  0.868677, Time  0.357316
2021-09-10 09:40:17.317783 : Epoch  9, Batch   3514, Loss  0.881082, Average Loss  0.868880, Time  0.448303
2021-09-10 09:40:19.212900 : Epoch  9, Batch   3515, Loss  0.897264, Average Loss  0.868909, Time  0.459657
2021-09-10 09:40:20.994973 : Epoch  9, Batch   3516, Loss  0.868823, Average Loss  0.868928, Time  0.349894
2021-09-10 09:40:22.762702 : Epoch  9, Batch   3517, Loss  0.907379, Average Loss  0.868968, Time  0.359607
2021-09-10 09:40:24.539775 : Epoch  9, Batch   3518, Loss  0.892089, Average Loss  0.868927, Time  0.361547
2021-09-10 09:40:26.446816 : Epoch  9, Batch   3519, Loss  0.838096, Average Loss  0.868673, Time  0.460726
2021-09-10 09:40:28.303435 : Epoch  9, Batch   3520, Loss  0.850933, Average Loss  0.868436, Time  0.436192
2021-09-10 09:40:30.097824 : Epoch  9, Batch   3521, Loss  0.879844, Average Loss  0.868539, Time  0.378871
2021-09-10 09:40:31.878885 : Epoch  9, Batch   3522, Loss  0.859213, Average Loss  0.868714, Time  0.358856
2021-09-10 09:40:33.723086 : Epoch  9, Batch   3523, Loss  0.881969, Average Loss  0.868810, Time  0.417567
2021-09-10 09:40:35.576247 : Epoch  9, Batch   3524, Loss  0.840136, Average Loss  0.868824, Time  0.450962
2021-09-10 09:40:37.358010 : Epoch  9, Batch   3525, Loss  0.906285, Average Loss  0.869096, Time  0.362025
2021-09-10 09:40:39.124763 : Epoch  9, Batch   3526, Loss  0.887603, Average Loss  0.869201, Time  0.356853
2021-09-10 09:40:40.927928 : Epoch  9, Batch   3527, Loss  0.885635, Average Loss  0.869399, Time  0.402149
2021-09-10 09:40:42.806872 : Epoch  9, Batch   3528, Loss  0.893787, Average Loss  0.869501, Time  0.452267
2021-09-10 09:40:44.581794 : Epoch  9, Batch   3529, Loss  0.888283, Average Loss  0.869564, Time  0.356570
2021-09-10 09:40:46.372230 : Epoch  9, Batch   3530, Loss  0.887328, Average Loss  0.869690, Time  0.365679
2021-09-10 09:40:48.148186 : Epoch  9, Batch   3531, Loss  0.861728, Average Loss  0.869540, Time  0.382793
2021-09-10 09:40:50.054084 : Epoch  9, Batch   3532, Loss  0.899436, Average Loss  0.869737, Time  0.469314
2021-09-10 09:40:51.818956 : Epoch  9, Batch   3533, Loss  0.858460, Average Loss  0.869730, Time  0.355431
2021-09-10 09:40:53.588779 : Epoch  9, Batch   3534, Loss  0.870328, Average Loss  0.869802, Time  0.360800
2021-09-10 09:40:55.403109 : Epoch  9, Batch   3535, Loss  0.862250, Average Loss  0.869793, Time  0.377271
2021-09-10 09:40:57.266774 : Epoch  9, Batch   3536, Loss  0.841864, Average Loss  0.869556, Time  0.457082
2021-09-10 09:40:59.019086 : Epoch  9, Batch   3537, Loss  0.858251, Average Loss  0.869501, Time  0.356499
2021-09-10 09:41:00.795886 : Epoch  9, Batch   3538, Loss  0.873443, Average Loss  0.869595, Time  0.370842
2021-09-10 09:41:02.584872 : Epoch  9, Batch   3539, Loss  0.895318, Average Loss  0.869676, Time  0.394015
2021-09-10 09:41:04.437259 : Epoch  9, Batch   3540, Loss  0.882895, Average Loss  0.869835, Time  0.456652
2021-09-10 09:41:06.202924 : Epoch  9, Batch   3541, Loss  0.888395, Average Loss  0.869802, Time  0.355270
2021-09-10 09:41:08.004951 : Epoch  9, Batch   3542, Loss  0.866442, Average Loss  0.869726, Time  0.355123
2021-09-10 09:41:09.817871 : Epoch  9, Batch   3543, Loss  0.872887, Average Loss  0.869887, Time  0.387494
2021-09-10 09:41:11.676908 : Epoch  9, Batch   3544, Loss  0.843106, Average Loss  0.869742, Time  0.451659
2021-09-10 09:41:13.450123 : Epoch  9, Batch   3545, Loss  0.882369, Average Loss  0.869762, Time  0.370079
2021-09-10 09:41:15.257769 : Epoch  9, Batch   3546, Loss  0.881641, Average Loss  0.869865, Time  0.364858
2021-09-10 09:41:17.059787 : Epoch  9, Batch   3547, Loss  0.892616, Average Loss  0.870088, Time  0.390902
2021-09-10 09:41:18.913860 : Epoch  9, Batch   3548, Loss  0.861675, Average Loss  0.869928, Time  0.450438
2021-09-10 09:41:20.734771 : Epoch  9, Batch   3549, Loss  0.869202, Average Loss  0.870012, Time  0.368928
2021-09-10 09:41:22.529778 : Epoch  9, Batch   3550, Loss  0.835673, Average Loss  0.869843, Time  0.358669
2021-09-10 09:41:24.308107 : Epoch  9, Batch   3551, Loss  0.860828, Average Loss  0.869646, Time  0.381411
2021-09-10 09:41:26.191774 : Epoch  9, Batch   3552, Loss  0.873097, Average Loss  0.869733, Time  0.456433
2021-09-10 09:41:27.981964 : Epoch  9, Batch   3553, Loss  0.877730, Average Loss  0.869867, Time  0.350955
2021-09-10 09:41:29.759169 : Epoch  9, Batch   3554, Loss  0.861020, Average Loss  0.869731, Time  0.357574
2021-09-10 09:41:31.533785 : Epoch  9, Batch   3555, Loss  0.858625, Average Loss  0.869754, Time  0.364399
2021-09-10 09:41:33.426775 : Epoch  9, Batch   3556, Loss  0.883359, Average Loss  0.869910, Time  0.468295
2021-09-10 09:41:35.222887 : Epoch  9, Batch   3557, Loss  0.872450, Average Loss  0.870034, Time  0.362066
2021-09-10 09:41:37.002821 : Epoch  9, Batch   3558, Loss  0.880719, Average Loss  0.870121, Time  0.363296
2021-09-10 09:41:38.802817 : Epoch  9, Batch   3559, Loss  0.860833, Average Loss  0.870152, Time  0.368566
2021-09-10 09:41:40.676888 : Epoch  9, Batch   3560, Loss  0.879284, Average Loss  0.870045, Time  0.456486
2021-09-10 09:41:42.438774 : Epoch  9, Batch   3561, Loss  0.859412, Average Loss  0.869900, Time  0.365858
2021-09-10 09:41:44.219894 : Epoch  9, Batch   3562, Loss  0.859692, Average Loss  0.870021, Time  0.359720
2021-09-10 09:41:46.030106 : Epoch  9, Batch   3563, Loss  0.859417, Average Loss  0.869980, Time  0.381637
2021-09-10 09:41:47.921033 : Epoch  9, Batch   3564, Loss  0.885090, Average Loss  0.870012, Time  0.465122
2021-09-10 09:41:49.687106 : Epoch  9, Batch   3565, Loss  0.868755, Average Loss  0.870051, Time  0.341142
2021-09-10 09:41:51.483887 : Epoch  9, Batch   3566, Loss  0.886751, Average Loss  0.870142, Time  0.357002
2021-09-10 09:41:53.277863 : Epoch  9, Batch   3567, Loss  0.870583, Average Loss  0.870092, Time  0.355019
2021-09-10 09:41:55.165869 : Epoch  9, Batch   3568, Loss  0.877135, Average Loss  0.870080, Time  0.450688
2021-09-10 09:41:56.954835 : Epoch  9, Batch   3569, Loss  0.882499, Average Loss  0.870245, Time  0.345733
2021-09-10 09:41:58.736834 : Epoch  9, Batch   3570, Loss  0.866666, Average Loss  0.870313, Time  0.357222
2021-09-10 09:42:00.537095 : Epoch  9, Batch   3571, Loss  0.852934, Average Loss  0.870306, Time  0.356410
2021-09-10 09:42:02.425898 : Epoch  9, Batch   3572, Loss  0.910929, Average Loss  0.870524, Time  0.450748
2021-09-10 09:42:04.295080 : Epoch  9, Batch   3573, Loss  0.861362, Average Loss  0.870413, Time  0.431082
2021-09-10 09:42:06.078764 : Epoch  9, Batch   3574, Loss  0.864329, Average Loss  0.870403, Time  0.357643
2021-09-10 09:42:07.878165 : Epoch  9, Batch   3575, Loss  0.856262, Average Loss  0.870453, Time  0.356633
2021-09-10 09:42:09.710874 : Epoch  9, Batch   3576, Loss  0.892652, Average Loss  0.870558, Time  0.417275
2021-09-10 09:42:11.569074 : Epoch  9, Batch   3577, Loss  0.833489, Average Loss  0.870300, Time  0.451210
2021-09-10 09:42:13.343027 : Epoch  9, Batch   3578, Loss  0.860227, Average Loss  0.870154, Time  0.355760
2021-09-10 09:42:15.126901 : Epoch  9, Batch   3579, Loss  0.832154, Average Loss  0.870073, Time  0.356726
2021-09-10 09:42:16.946767 : Epoch  9, Batch   3580, Loss  0.880794, Average Loss  0.870078, Time  0.393999
2021-09-10 09:42:18.836813 : Epoch  9, Batch   3581, Loss  0.877153, Average Loss  0.870068, Time  0.473238
2021-09-10 09:42:20.595776 : Epoch  9, Batch   3582, Loss  0.872059, Average Loss  0.870160, Time  0.357646
2021-09-10 09:42:22.386059 : Epoch  9, Batch   3583, Loss  0.852368, Average Loss  0.870088, Time  0.359578
2021-09-10 09:42:24.191779 : Epoch  9, Batch   3584, Loss  0.872779, Average Loss  0.869975, Time  0.380498
2021-09-10 09:42:26.067231 : Epoch  9, Batch   3585, Loss  0.876227, Average Loss  0.870019, Time  0.450885
2021-09-10 09:42:27.846801 : Epoch  9, Batch   3586, Loss  0.873555, Average Loss  0.869964, Time  0.357560
2021-09-10 09:42:29.613966 : Epoch  9, Batch   3587, Loss  0.879348, Average Loss  0.870040, Time  0.362443
2021-09-10 09:42:31.427803 : Epoch  9, Batch   3588, Loss  0.873266, Average Loss  0.870001, Time  0.384540
2021-09-10 09:42:33.303157 : Epoch  9, Batch   3589, Loss  0.865101, Average Loss  0.870034, Time  0.467349
2021-09-10 09:42:35.095809 : Epoch  9, Batch   3590, Loss  0.882682, Average Loss  0.870040, Time  0.366953
2021-09-10 09:42:36.876787 : Epoch  9, Batch   3591, Loss  0.903948, Average Loss  0.870204, Time  0.365156
2021-09-10 09:42:38.678513 : Epoch  9, Batch   3592, Loss  0.834942, Average Loss  0.869932, Time  0.368510
2021-09-10 09:42:40.584772 : Epoch  9, Batch   3593, Loss  0.870740, Average Loss  0.869874, Time  0.464561
2021-09-10 09:42:42.431095 : Epoch  9, Batch   3594, Loss  0.839806, Average Loss  0.869791, Time  0.387267
2021-09-10 09:42:44.246892 : Epoch  9, Batch   3595, Loss  0.871581, Average Loss  0.869887, Time  0.402661
2021-09-10 09:42:46.045215 : Epoch  9, Batch   3596, Loss  0.869914, Average Loss  0.869993, Time  0.377333
2021-09-10 09:42:47.915381 : Epoch  9, Batch   3597, Loss  0.847960, Average Loss  0.869750, Time  0.460493
2021-09-10 09:42:49.700038 : Epoch  9, Batch   3598, Loss  0.890021, Average Loss  0.869916, Time  0.356981
2021-09-10 09:42:51.474767 : Epoch  9, Batch   3599, Loss  0.880668, Average Loss  0.869991, Time  0.357069
2021-09-10 09:42:53.271009 : Epoch  9, Batch   3600, Loss  0.890582, Average Loss  0.870205, Time  0.388034
2021-09-10 09:42:55.138107 : Epoch  9, Batch   3601, Loss  0.864529, Average Loss  0.870201, Time  0.466758
2021-09-10 09:42:56.928773 : Epoch  9, Batch   3602, Loss  0.876355, Average Loss  0.870269, Time  0.365177
2021-09-10 09:42:58.721873 : Epoch  9, Batch   3603, Loss  0.838723, Average Loss  0.870050, Time  0.362754
2021-09-10 09:43:00.531107 : Epoch  9, Batch   3604, Loss  0.862522, Average Loss  0.869984, Time  0.380453
2021-09-10 09:43:02.403150 : Epoch  9, Batch   3605, Loss  0.862860, Average Loss  0.869909, Time  0.455787
2021-09-10 09:43:04.183821 : Epoch  9, Batch   3606, Loss  0.849515, Average Loss  0.869792, Time  0.358682
2021-09-10 09:43:05.966898 : Epoch  9, Batch   3607, Loss  0.865326, Average Loss  0.869690, Time  0.359122
2021-09-10 09:43:07.761143 : Epoch  9, Batch   3608, Loss  0.871873, Average Loss  0.869709, Time  0.383281
2021-09-10 09:43:09.626652 : Epoch  9, Batch   3609, Loss  0.861860, Average Loss  0.869593, Time  0.451232
2021-09-10 09:43:11.394780 : Epoch  9, Batch   3610, Loss  0.882337, Average Loss  0.869794, Time  0.359112
2021-09-10 09:43:13.185783 : Epoch  9, Batch   3611, Loss  0.863271, Average Loss  0.869764, Time  0.357781
2021-09-10 09:43:15.004102 : Epoch  9, Batch   3612, Loss  0.877976, Average Loss  0.869793, Time  0.382214
2021-09-10 09:48:06.045708 : CheckPoint: Validation Loss  0.00060626, Best Loss  0.00056427
2021-09-10 09:48:07.881765 : Epoch  9, Batch   3613, Loss  0.866235, Average Loss  0.869718, Time  0.417202
2021-09-10 09:48:09.762732 : Epoch  9, Batch   3614, Loss  0.902858, Average Loss  0.869950, Time  0.451493
2021-09-10 09:48:11.538775 : Epoch  9, Batch   3615, Loss  0.865258, Average Loss  0.869943, Time  0.368755
2021-09-10 09:48:13.319601 : Epoch  9, Batch   3616, Loss  0.881543, Average Loss  0.869963, Time  0.374485
2021-09-10 09:48:15.135777 : Epoch  9, Batch   3617, Loss  0.879665, Average Loss  0.870030, Time  0.383112
2021-09-10 09:48:17.028769 : Epoch  9, Batch   3618, Loss  0.895071, Average Loss  0.870181, Time  0.454391
2021-09-10 09:48:18.791618 : Epoch  9, Batch   3619, Loss  0.856808, Average Loss  0.870190, Time  0.344590
2021-09-10 09:48:20.572861 : Epoch  9, Batch   3620, Loss  0.868529, Average Loss  0.870014, Time  0.362944
2021-09-10 09:48:22.345766 : Epoch  9, Batch   3621, Loss  0.887849, Average Loss  0.870051, Time  0.357095
2021-09-10 09:48:24.237155 : Epoch  9, Batch   3622, Loss  0.881390, Average Loss  0.870156, Time  0.457497
2021-09-10 09:48:26.067957 : Epoch  9, Batch   3623, Loss  0.892222, Average Loss  0.870213, Time  0.407603
2021-09-10 09:48:27.864881 : Epoch  9, Batch   3624, Loss  0.881747, Average Loss  0.870296, Time  0.355341
2021-09-10 09:48:29.640103 : Epoch  9, Batch   3625, Loss  0.872663, Average Loss  0.870250, Time  0.363893
2021-09-10 09:48:31.520782 : Epoch  9, Batch   3626, Loss  0.873581, Average Loss  0.870359, Time  0.463266
2021-09-10 09:48:33.411271 : Epoch  9, Batch   3627, Loss  0.861290, Average Loss  0.870348, Time  0.459165
2021-09-10 09:48:35.208779 : Epoch  9, Batch   3628, Loss  0.887457, Average Loss  0.870438, Time  0.370547
2021-09-10 09:48:36.988775 : Epoch  9, Batch   3629, Loss  0.884473, Average Loss  0.870520, Time  0.364147
2021-09-10 09:48:38.762868 : Epoch  9, Batch   3630, Loss  0.830257, Average Loss  0.870471, Time  0.374473
2021-09-10 09:48:40.639778 : Epoch  9, Batch   3631, Loss  0.884213, Average Loss  0.870545, Time  0.449658
2021-09-10 09:48:42.430779 : Epoch  9, Batch   3632, Loss  0.886560, Average Loss  0.870630, Time  0.360922
2021-09-10 09:48:44.207100 : Epoch  9, Batch   3633, Loss  0.868276, Average Loss  0.870785, Time  0.358727
2021-09-10 09:48:46.004189 : Epoch  9, Batch   3634, Loss  0.879078, Average Loss  0.870865, Time  0.395406
2021-09-10 09:48:47.860109 : Epoch  9, Batch   3635, Loss  0.876102, Average Loss  0.870840, Time  0.453690
2021-09-10 09:48:49.680959 : Epoch  9, Batch   3636, Loss  0.892620, Average Loss  0.870971, Time  0.418348
2021-09-10 09:48:51.474385 : Epoch  9, Batch   3637, Loss  0.860963, Average Loss  0.870687, Time  0.357053
2021-09-10 09:48:53.350850 : Epoch  9, Batch   3638, Loss  0.878628, Average Loss  0.870806, Time  0.457009
2021-09-10 09:48:55.247774 : Epoch  9, Batch   3639, Loss  0.886498, Average Loss  0.871049, Time  0.458152
2021-09-10 09:48:57.035861 : Epoch  9, Batch   3640, Loss  0.858253, Average Loss  0.870977, Time  0.348647
2021-09-10 09:48:58.818774 : Epoch  9, Batch   3641, Loss  0.869850, Average Loss  0.870942, Time  0.362137
2021-09-10 09:49:00.614773 : Epoch  9, Batch   3642, Loss  0.877835, Average Loss  0.871037, Time  0.361415
2021-09-10 09:49:02.483780 : Epoch  9, Batch   3643, Loss  0.885874, Average Loss  0.871041, Time  0.457968
2021-09-10 09:49:04.271547 : Epoch  9, Batch   3644, Loss  0.877652, Average Loss  0.871201, Time  0.351777
2021-09-10 09:49:06.092987 : Epoch  9, Batch   3645, Loss  0.844542, Average Loss  0.871151, Time  0.362822
2021-09-10 09:49:07.874874 : Epoch  9, Batch   3646, Loss  0.870839, Average Loss  0.871067, Time  0.370838
2021-09-10 09:49:09.751775 : Epoch  9, Batch   3647, Loss  0.854842, Average Loss  0.870851, Time  0.451598
2021-09-10 09:49:11.535817 : Epoch  9, Batch   3648, Loss  0.882331, Average Loss  0.871031, Time  0.357485
2021-09-10 09:49:13.331106 : Epoch  9, Batch   3649, Loss  0.876864, Average Loss  0.871107, Time  0.371119
2021-09-10 09:49:15.134920 : Epoch  9, Batch   3650, Loss  0.864135, Average Loss  0.871164, Time  0.371543
2021-09-10 09:49:17.028107 : Epoch  9, Batch   3651, Loss  0.870134, Average Loss  0.871326, Time  0.467964
2021-09-10 09:49:18.888774 : Epoch  9, Batch   3652, Loss  0.901798, Average Loss  0.871583, Time  0.419472
2021-09-10 09:49:20.665105 : Epoch  9, Batch   3653, Loss  0.906289, Average Loss  0.871903, Time  0.358617
2021-09-10 09:49:22.456765 : Epoch  9, Batch   3654, Loss  0.866806, Average Loss  0.871796, Time  0.357564
2021-09-10 09:49:24.329776 : Epoch  9, Batch   3655, Loss  0.824170, Average Loss  0.871530, Time  0.443146
2021-09-10 09:49:26.240083 : Epoch  9, Batch   3656, Loss  0.870539, Average Loss  0.871584, Time  0.452629
2021-09-10 09:49:28.031772 : Epoch  9, Batch   3657, Loss  0.841154, Average Loss  0.871331, Time  0.348940
2021-09-10 09:49:29.838775 : Epoch  9, Batch   3658, Loss  0.869641, Average Loss  0.871434, Time  0.356582
2021-09-10 09:49:31.633076 : Epoch  9, Batch   3659, Loss  0.882639, Average Loss  0.871501, Time  0.356486
2021-09-10 09:49:33.531780 : Epoch  9, Batch   3660, Loss  0.887531, Average Loss  0.871413, Time  0.450355
2021-09-10 09:49:35.343777 : Epoch  9, Batch   3661, Loss  0.857352, Average Loss  0.871329, Time  0.366328
2021-09-10 09:49:37.153807 : Epoch  9, Batch   3662, Loss  0.862513, Average Loss  0.871193, Time  0.358170
2021-09-10 09:49:38.959780 : Epoch  9, Batch   3663, Loss  0.832975, Average Loss  0.871001, Time  0.357386
2021-09-10 09:49:40.839090 : Epoch  9, Batch   3664, Loss  0.877784, Average Loss  0.871167, Time  0.452769
2021-09-10 09:49:42.731112 : Epoch  9, Batch   3665, Loss  0.857734, Average Loss  0.871146, Time  0.452332
2021-09-10 09:49:44.522162 : Epoch  9, Batch   3666, Loss  0.884212, Average Loss  0.871166, Time  0.354054
2021-09-10 09:49:46.307771 : Epoch  9, Batch   3667, Loss  0.843944, Average Loss  0.871058, Time  0.362158
2021-09-10 09:49:48.103775 : Epoch  9, Batch   3668, Loss  0.872269, Average Loss  0.871148, Time  0.397886
2021-09-10 09:49:49.981775 : Epoch  9, Batch   3669, Loss  0.858179, Average Loss  0.870963, Time  0.453739
2021-09-10 09:49:51.790765 : Epoch  9, Batch   3670, Loss  0.866361, Average Loss  0.870956, Time  0.347225
2021-09-10 09:49:53.596764 : Epoch  9, Batch   3671, Loss  0.896930, Average Loss  0.871069, Time  0.354302
2021-09-10 09:49:55.397779 : Epoch  9, Batch   3672, Loss  0.879178, Average Loss  0.871067, Time  0.358336
2021-09-10 09:49:57.305061 : Epoch  9, Batch   3673, Loss  0.880552, Average Loss  0.871038, Time  0.454950
2021-09-10 09:49:59.192783 : Epoch  9, Batch   3674, Loss  0.842593, Average Loss  0.870875, Time  0.445461
2021-09-10 09:50:01.028772 : Epoch  9, Batch   3675, Loss  0.867790, Average Loss  0.870836, Time  0.356480
2021-09-10 09:50:02.834775 : Epoch  9, Batch   3676, Loss  0.874925, Average Loss  0.870833, Time  0.356863
2021-09-10 09:50:04.638830 : Epoch  9, Batch   3677, Loss  0.890291, Average Loss  0.870970, Time  0.389854
2021-09-10 09:50:06.543770 : Epoch  9, Batch   3678, Loss  0.862718, Average Loss  0.870945, Time  0.453951
2021-09-10 09:50:08.326780 : Epoch  9, Batch   3679, Loss  0.887503, Average Loss  0.871104, Time  0.348108
2021-09-10 09:50:10.133763 : Epoch  9, Batch   3680, Loss  0.855448, Average Loss  0.870990, Time  0.359178
2021-09-10 09:50:11.945765 : Epoch  9, Batch   3681, Loss  0.895788, Average Loss  0.871151, Time  0.358239
2021-09-10 09:50:13.833222 : Epoch  9, Batch   3682, Loss  0.863656, Average Loss  0.871167, Time  0.450886
2021-09-10 09:50:15.738768 : Epoch  9, Batch   3683, Loss  0.834663, Average Loss  0.870860, Time  0.445568
2021-09-10 09:50:17.547077 : Epoch  9, Batch   3684, Loss  0.895498, Average Loss  0.871059, Time  0.356838
2021-09-10 09:50:19.345094 : Epoch  9, Batch   3685, Loss  0.866819, Average Loss  0.871005, Time  0.362831
2021-09-10 09:50:21.173100 : Epoch  9, Batch   3686, Loss  0.895345, Average Loss  0.871115, Time  0.384740
2021-09-10 09:50:23.041088 : Epoch  9, Batch   3687, Loss  0.893580, Average Loss  0.870987, Time  0.451945
2021-09-10 09:50:24.835760 : Epoch  9, Batch   3688, Loss  0.866180, Average Loss  0.870977, Time  0.356359
2021-09-10 09:50:26.633069 : Epoch  9, Batch   3689, Loss  0.862611, Average Loss  0.870993, Time  0.357719
2021-09-10 09:50:28.438774 : Epoch  9, Batch   3690, Loss  0.837610, Average Loss  0.870984, Time  0.371881
2021-09-10 09:50:30.329080 : Epoch  9, Batch   3691, Loss  0.861409, Average Loss  0.870912, Time  0.451321
2021-09-10 09:50:32.142776 : Epoch  9, Batch   3692, Loss  0.874393, Average Loss  0.870966, Time  0.371791
2021-09-10 09:50:33.938047 : Epoch  9, Batch   3693, Loss  0.845374, Average Loss  0.870837, Time  0.357387
2021-09-10 09:50:35.759171 : Epoch  9, Batch   3694, Loss  0.858658, Average Loss  0.870730, Time  0.356788
2021-09-10 09:50:37.634958 : Epoch  9, Batch   3695, Loss  0.902931, Average Loss  0.870947, Time  0.444779
2021-09-10 09:50:39.533070 : Epoch  9, Batch   3696, Loss  0.864903, Average Loss  0.870874, Time  0.452754
2021-09-10 09:50:41.319067 : Epoch  9, Batch   3697, Loss  0.865584, Average Loss  0.870990, Time  0.356438
2021-09-10 09:50:43.113993 : Epoch  9, Batch   3698, Loss  0.860336, Average Loss  0.870902, Time  0.358083
2021-09-10 09:50:44.927103 : Epoch  9, Batch   3699, Loss  0.884655, Average Loss  0.871043, Time  0.368958
2021-09-10 09:50:46.798095 : Epoch  9, Batch   3700, Loss  0.844622, Average Loss  0.870951, Time  0.453084
2021-09-10 09:50:48.587111 : Epoch  9, Batch   3701, Loss  0.835386, Average Loss  0.870829, Time  0.357142
2021-09-10 09:50:50.387773 : Epoch  9, Batch   3702, Loss  0.857494, Average Loss  0.870677, Time  0.358429
2021-09-10 09:50:52.193819 : Epoch  9, Batch   3703, Loss  0.891913, Average Loss  0.870785, Time  0.383440
2021-09-10 09:50:54.069782 : Epoch  9, Batch   3704, Loss  0.886528, Average Loss  0.870885, Time  0.454093
2021-09-10 09:50:55.857774 : Epoch  9, Batch   3705, Loss  0.878492, Average Loss  0.870947, Time  0.342044
2021-09-10 09:50:57.660762 : Epoch  9, Batch   3706, Loss  0.855983, Average Loss  0.870969, Time  0.358975
2021-09-10 09:50:59.462235 : Epoch  9, Batch   3707, Loss  0.897196, Average Loss  0.870937, Time  0.359204
2021-09-10 09:51:01.360109 : Epoch  9, Batch   3708, Loss  0.860706, Average Loss  0.870914, Time  0.467027
2021-09-10 09:51:03.255776 : Epoch  9, Batch   3709, Loss  0.852453, Average Loss  0.870782, Time  0.452787
2021-09-10 09:51:05.040776 : Epoch  9, Batch   3710, Loss  0.863846, Average Loss  0.870904, Time  0.359679
2021-09-10 09:51:06.875769 : Epoch  9, Batch   3711, Loss  0.862287, Average Loss  0.870842, Time  0.356226
2021-09-10 09:51:06.926631 : Saving Model after 9-th Epoch.
2021-09-10 09:51:10.092671 : Epoch Finished.
2021-09-10 09:51:15.615672 : Batch Shuffled
2021-09-10 09:51:17.439770 : Epoch 10, Batch      1, Loss  0.835572, Average Loss  0.870726, Time  0.365904
2021-09-10 09:56:08.855706 : CheckPoint: Validation Loss  0.00061296, Best Loss  0.00056427
2021-09-10 09:56:10.691010 : Epoch 10, Batch      2, Loss  0.838927, Average Loss  0.870614, Time  0.364235
2021-09-10 09:56:12.516814 : Epoch 10, Batch      3, Loss  0.839621, Average Loss  0.870407, Time  0.404171
2021-09-10 09:56:14.392824 : Epoch 10, Batch      4, Loss  0.884737, Average Loss  0.870344, Time  0.447852
2021-09-10 09:56:16.189779 : Epoch 10, Batch      5, Loss  0.864809, Average Loss  0.870324, Time  0.356432
2021-09-10 09:56:17.998913 : Epoch 10, Batch      6, Loss  0.886324, Average Loss  0.870219, Time  0.356704
2021-09-10 09:56:19.821769 : Epoch 10, Batch      7, Loss  0.877570, Average Loss  0.870146, Time  0.368472
2021-09-10 09:56:21.721074 : Epoch 10, Batch      8, Loss  0.857452, Average Loss  0.870243, Time  0.449908
2021-09-10 09:56:23.582768 : Epoch 10, Batch      9, Loss  0.863735, Average Loss  0.870307, Time  0.407913
2021-09-10 09:56:25.398169 : Epoch 10, Batch     10, Loss  0.867496, Average Loss  0.870245, Time  0.357682
2021-09-10 09:56:27.192762 : Epoch 10, Batch     11, Loss  0.868415, Average Loss  0.870291, Time  0.354742
2021-09-10 09:56:29.086110 : Epoch 10, Batch     12, Loss  0.888266, Average Loss  0.870323, Time  0.449877
2021-09-10 09:56:30.981778 : Epoch 10, Batch     13, Loss  0.863606, Average Loss  0.870440, Time  0.470257
2021-09-10 09:56:32.762516 : Epoch 10, Batch     14, Loss  0.882175, Average Loss  0.870320, Time  0.363261
2021-09-10 09:56:34.536761 : Epoch 10, Batch     15, Loss  0.884841, Average Loss  0.870306, Time  0.360666
2021-09-10 09:56:36.341099 : Epoch 10, Batch     16, Loss  0.846696, Average Loss  0.870111, Time  0.378814
2021-09-10 09:56:38.218934 : Epoch 10, Batch     17, Loss  0.851466, Average Loss  0.869900, Time  0.465440
2021-09-10 09:56:39.982813 : Epoch 10, Batch     18, Loss  0.871923, Average Loss  0.869818, Time  0.355345
2021-09-10 09:56:41.775813 : Epoch 10, Batch     19, Loss  0.862102, Average Loss  0.869692, Time  0.363987
2021-09-10 09:56:43.556998 : Epoch 10, Batch     20, Loss  0.844136, Average Loss  0.869604, Time  0.383994
2021-09-10 09:56:45.435095 : Epoch 10, Batch     21, Loss  0.877096, Average Loss  0.869492, Time  0.464199
2021-09-10 09:56:47.215097 : Epoch 10, Batch     22, Loss  0.873331, Average Loss  0.869566, Time  0.356316
2021-09-10 09:56:48.996101 : Epoch 10, Batch     23, Loss  0.840391, Average Loss  0.869417, Time  0.356549
2021-09-10 09:56:50.797114 : Epoch 10, Batch     24, Loss  0.849629, Average Loss  0.869354, Time  0.390450
2021-09-10 09:56:52.685813 : Epoch 10, Batch     25, Loss  0.886640, Average Loss  0.869578, Time  0.463299
2021-09-10 09:56:54.478090 : Epoch 10, Batch     26, Loss  0.881745, Average Loss  0.869695, Time  0.365798
2021-09-10 09:56:56.263772 : Epoch 10, Batch     27, Loss  0.857077, Average Loss  0.869613, Time  0.357199
2021-09-10 09:56:58.067964 : Epoch 10, Batch     28, Loss  0.896760, Average Loss  0.869620, Time  0.375408
2021-09-10 09:56:59.939107 : Epoch 10, Batch     29, Loss  0.867023, Average Loss  0.869541, Time  0.452497
2021-09-10 09:57:01.733799 : Epoch 10, Batch     30, Loss  0.894320, Average Loss  0.869571, Time  0.362731
2021-09-10 09:57:03.534772 : Epoch 10, Batch     31, Loss  0.882117, Average Loss  0.869649, Time  0.374740
2021-09-10 09:57:05.323065 : Epoch 10, Batch     32, Loss  0.888060, Average Loss  0.869725, Time  0.363338
2021-09-10 09:57:07.199954 : Epoch 10, Batch     33, Loss  0.897949, Average Loss  0.869999, Time  0.451791
2021-09-10 09:57:08.958978 : Epoch 10, Batch     34, Loss  0.861092, Average Loss  0.869893, Time  0.358198
2021-09-10 09:57:10.770115 : Epoch 10, Batch     35, Loss  0.850411, Average Loss  0.869737, Time  0.357984
2021-09-10 09:57:12.580097 : Epoch 10, Batch     36, Loss  0.871408, Average Loss  0.869630, Time  0.387001
2021-09-10 09:57:14.450099 : Epoch 10, Batch     37, Loss  0.873362, Average Loss  0.869689, Time  0.451359
2021-09-10 09:57:16.219223 : Epoch 10, Batch     38, Loss  0.865913, Average Loss  0.869672, Time  0.356375
2021-09-10 09:57:18.008776 : Epoch 10, Batch     39, Loss  0.866911, Average Loss  0.869829, Time  0.363913
2021-09-10 09:57:19.794233 : Epoch 10, Batch     40, Loss  0.862212, Average Loss  0.869836, Time  0.380860
2021-09-10 09:57:21.680762 : Epoch 10, Batch     41, Loss  0.818009, Average Loss  0.869560, Time  0.463202
2021-09-10 09:57:23.454933 : Epoch 10, Batch     42, Loss  0.835999, Average Loss  0.869351, Time  0.349225
2021-09-10 09:57:25.225764 : Epoch 10, Batch     43, Loss  0.869502, Average Loss  0.869394, Time  0.358316
2021-09-10 09:57:27.000125 : Epoch 10, Batch     44, Loss  0.850298, Average Loss  0.869352, Time  0.367685
2021-09-10 09:57:28.883157 : Epoch 10, Batch     45, Loss  0.835373, Average Loss  0.869112, Time  0.456738
2021-09-10 09:57:30.669844 : Epoch 10, Batch     46, Loss  0.882269, Average Loss  0.869161, Time  0.360849
2021-09-10 09:57:32.493109 : Epoch 10, Batch     47, Loss  0.855356, Average Loss  0.869035, Time  0.372733
2021-09-10 09:57:34.310785 : Epoch 10, Batch     48, Loss  0.866577, Average Loss  0.869063, Time  0.364537
2021-09-10 09:57:36.182813 : Epoch 10, Batch     49, Loss  0.905140, Average Loss  0.869193, Time  0.450440
2021-09-10 09:57:37.963079 : Epoch 10, Batch     50, Loss  0.846334, Average Loss  0.869127, Time  0.355872
2021-09-10 09:57:39.764775 : Epoch 10, Batch     51, Loss  0.846639, Average Loss  0.869062, Time  0.358551
2021-09-10 09:57:41.561773 : Epoch 10, Batch     52, Loss  0.850366, Average Loss  0.869017, Time  0.359828
2021-09-10 09:57:43.466781 : Epoch 10, Batch     53, Loss  0.913751, Average Loss  0.869160, Time  0.449892
2021-09-10 09:57:45.325767 : Epoch 10, Batch     54, Loss  0.898005, Average Loss  0.869306, Time  0.413636
2021-09-10 09:57:47.100089 : Epoch 10, Batch     55, Loss  0.900700, Average Loss  0.869376, Time  0.357817
2021-09-10 09:57:48.877762 : Epoch 10, Batch     56, Loss  0.876952, Average Loss  0.869408, Time  0.356491
2021-09-10 09:57:50.751765 : Epoch 10, Batch     57, Loss  0.879910, Average Loss  0.869422, Time  0.440444
2021-09-10 09:57:52.605171 : Epoch 10, Batch     58, Loss  0.876096, Average Loss  0.869390, Time  0.451489
2021-09-10 09:57:54.383767 : Epoch 10, Batch     59, Loss  0.866397, Average Loss  0.869388, Time  0.355141
2021-09-10 09:57:56.172779 : Epoch 10, Batch     60, Loss  0.871840, Average Loss  0.869483, Time  0.356700
2021-09-10 09:57:57.997783 : Epoch 10, Batch     61, Loss  0.860765, Average Loss  0.869232, Time  0.378414
2021-09-10 09:57:59.891776 : Epoch 10, Batch     62, Loss  0.898209, Average Loss  0.869416, Time  0.450403
2021-09-10 09:58:01.686783 : Epoch 10, Batch     63, Loss  0.854551, Average Loss  0.869367, Time  0.355623
2021-09-10 09:58:03.485779 : Epoch 10, Batch     64, Loss  0.863055, Average Loss  0.869401, Time  0.363816
2021-09-10 09:58:05.300900 : Epoch 10, Batch     65, Loss  0.852868, Average Loss  0.869202, Time  0.364849
2021-09-10 09:58:07.181809 : Epoch 10, Batch     66, Loss  0.861813, Average Loss  0.869344, Time  0.452919
2021-09-10 09:58:08.936821 : Epoch 10, Batch     67, Loss  0.875726, Average Loss  0.869422, Time  0.354566
2021-09-10 09:58:10.753811 : Epoch 10, Batch     68, Loss  0.881893, Average Loss  0.869670, Time  0.356694
2021-09-10 09:58:12.540776 : Epoch 10, Batch     69, Loss  0.879222, Average Loss  0.869662, Time  0.366412
2021-09-10 09:58:14.392776 : Epoch 10, Batch     70, Loss  0.847510, Average Loss  0.869514, Time  0.448176
2021-09-10 09:58:16.163778 : Epoch 10, Batch     71, Loss  0.879283, Average Loss  0.869550, Time  0.370400
2021-09-10 09:58:17.945553 : Epoch 10, Batch     72, Loss  0.856801, Average Loss  0.869572, Time  0.356148
2021-09-10 09:58:19.780776 : Epoch 10, Batch     73, Loss  0.882696, Average Loss  0.869622, Time  0.411667
2021-09-10 09:58:21.671776 : Epoch 10, Batch     74, Loss  0.873110, Average Loss  0.869606, Time  0.456720
2021-09-10 09:58:23.467765 : Epoch 10, Batch     75, Loss  0.882307, Average Loss  0.869650, Time  0.355153
2021-09-10 09:58:25.255782 : Epoch 10, Batch     76, Loss  0.862157, Average Loss  0.869564, Time  0.356940
2021-09-10 09:58:27.077758 : Epoch 10, Batch     77, Loss  0.856258, Average Loss  0.869479, Time  0.367865
2021-09-10 09:58:28.974776 : Epoch 10, Batch     78, Loss  0.874732, Average Loss  0.869527, Time  0.450659
2021-09-10 09:58:30.763763 : Epoch 10, Batch     79, Loss  0.852974, Average Loss  0.869379, Time  0.343703
2021-09-10 09:58:32.562767 : Epoch 10, Batch     80, Loss  0.832767, Average Loss  0.869023, Time  0.356993
2021-09-10 09:58:34.358906 : Epoch 10, Batch     81, Loss  0.828785, Average Loss  0.868992, Time  0.356451
2021-09-10 09:58:36.223813 : Epoch 10, Batch     82, Loss  0.831645, Average Loss  0.868797, Time  0.453882
2021-09-10 09:58:37.991898 : Epoch 10, Batch     83, Loss  0.879244, Average Loss  0.868994, Time  0.341914
2021-09-10 09:58:39.783816 : Epoch 10, Batch     84, Loss  0.888664, Average Loss  0.869079, Time  0.368351
2021-09-10 09:58:41.571104 : Epoch 10, Batch     85, Loss  0.871370, Average Loss  0.869087, Time  0.362319
2021-09-10 09:58:43.443914 : Epoch 10, Batch     86, Loss  0.905207, Average Loss  0.869373, Time  0.454098
2021-09-10 09:58:45.294468 : Epoch 10, Batch     87, Loss  0.863245, Average Loss  0.869239, Time  0.413194
2021-09-10 09:58:47.113799 : Epoch 10, Batch     88, Loss  0.852002, Average Loss  0.869096, Time  0.373204
2021-09-10 09:58:48.909087 : Epoch 10, Batch     89, Loss  0.871890, Average Loss  0.869002, Time  0.355553
2021-09-10 09:58:50.781764 : Epoch 10, Batch     90, Loss  0.896086, Average Loss  0.869160, Time  0.421488
2021-09-10 09:58:52.681779 : Epoch 10, Batch     91, Loss  0.877383, Average Loss  0.869165, Time  0.461447
2021-09-10 09:58:54.487106 : Epoch 10, Batch     92, Loss  0.865418, Average Loss  0.869299, Time  0.341748
2021-09-10 09:58:56.276774 : Epoch 10, Batch     93, Loss  0.882177, Average Loss  0.869397, Time  0.363695
2021-09-10 09:58:58.097765 : Epoch 10, Batch     94, Loss  0.831311, Average Loss  0.869239, Time  0.366803
2021-09-10 09:58:59.996783 : Epoch 10, Batch     95, Loss  0.855041, Average Loss  0.869267, Time  0.465779
2021-09-10 09:59:01.858779 : Epoch 10, Batch     96, Loss  0.872747, Average Loss  0.869304, Time  0.417470
2021-09-10 09:59:03.672778 : Epoch 10, Batch     97, Loss  0.865015, Average Loss  0.869270, Time  0.365868
2021-09-10 09:59:05.474351 : Epoch 10, Batch     98, Loss  0.873347, Average Loss  0.869327, Time  0.366824
2021-09-10 09:59:07.319765 : Epoch 10, Batch     99, Loss  0.875758, Average Loss  0.869294, Time  0.419314
2021-09-10 09:59:09.212060 : Epoch 10, Batch    100, Loss  0.863501, Average Loss  0.869295, Time  0.451724
2021-09-10 09:59:11.022774 : Epoch 10, Batch    101, Loss  0.854298, Average Loss  0.869177, Time  0.334787
2021-09-10 10:04:02.370588 : CheckPoint: Validation Loss  0.00059479, Best Loss  0.00056427
2021-09-10 10:04:04.173776 : Epoch 10, Batch    102, Loss  0.868666, Average Loss  0.869189, Time  0.363080
2021-09-10 10:04:05.957761 : Epoch 10, Batch    103, Loss  0.866803, Average Loss  0.869009, Time  0.356276
2021-09-10 10:04:07.819769 : Epoch 10, Batch    104, Loss  0.870466, Average Loss  0.869035, Time  0.432588
2021-09-10 10:04:09.713764 : Epoch 10, Batch    105, Loss  0.868218, Average Loss  0.868968, Time  0.463509
2021-09-10 10:04:11.486760 : Epoch 10, Batch    106, Loss  0.876268, Average Loss  0.868951, Time  0.361634
2021-09-10 10:04:13.274782 : Epoch 10, Batch    107, Loss  0.868892, Average Loss  0.868820, Time  0.359574
2021-09-10 10:04:15.105924 : Epoch 10, Batch    108, Loss  0.856052, Average Loss  0.868816, Time  0.388736
2021-09-10 10:04:16.991785 : Epoch 10, Batch    109, Loss  0.842308, Average Loss  0.868685, Time  0.450194
2021-09-10 10:04:18.781792 : Epoch 10, Batch    110, Loss  0.846649, Average Loss  0.868479, Time  0.338655
2021-09-10 10:04:20.584098 : Epoch 10, Batch    111, Loss  0.890349, Average Loss  0.868524, Time  0.358178
2021-09-10 10:04:22.375093 : Epoch 10, Batch    112, Loss  0.820880, Average Loss  0.868167, Time  0.369033
2021-09-10 10:04:24.289788 : Epoch 10, Batch    113, Loss  0.865835, Average Loss  0.868088, Time  0.460368
2021-09-10 10:04:26.084777 : Epoch 10, Batch    114, Loss  0.888314, Average Loss  0.868166, Time  0.357771
2021-09-10 10:04:27.883174 : Epoch 10, Batch    115, Loss  0.846117, Average Loss  0.868029, Time  0.356466
2021-09-10 10:04:29.684070 : Epoch 10, Batch    116, Loss  0.878054, Average Loss  0.868113, Time  0.356201
2021-09-10 10:04:31.581923 : Epoch 10, Batch    117, Loss  0.870366, Average Loss  0.868027, Time  0.450555
2021-09-10 10:04:33.479763 : Epoch 10, Batch    118, Loss  0.863897, Average Loss  0.867924, Time  0.443994
2021-09-10 10:04:35.292765 : Epoch 10, Batch    119, Loss  0.849577, Average Loss  0.868021, Time  0.357572
2021-09-10 10:04:37.062734 : Epoch 10, Batch    120, Loss  0.858082, Average Loss  0.867890, Time  0.356616
2021-09-10 10:04:38.900779 : Epoch 10, Batch    121, Loss  0.869057, Average Loss  0.867803, Time  0.406851
2021-09-10 10:04:40.801082 : Epoch 10, Batch    122, Loss  0.859067, Average Loss  0.867757, Time  0.452865
2021-09-10 10:04:42.605821 : Epoch 10, Batch    123, Loss  0.875478, Average Loss  0.867739, Time  0.356864
2021-09-10 10:04:44.422838 : Epoch 10, Batch    124, Loss  0.833463, Average Loss  0.867525, Time  0.358607
2021-09-10 10:04:46.232763 : Epoch 10, Batch    125, Loss  0.883789, Average Loss  0.867481, Time  0.363289
2021-09-10 10:04:48.132763 : Epoch 10, Batch    126, Loss  0.867087, Average Loss  0.867512, Time  0.448316
2021-09-10 10:04:49.923769 : Epoch 10, Batch    127, Loss  0.880543, Average Loss  0.867522, Time  0.336253
2021-09-10 10:04:51.743764 : Epoch 10, Batch    128, Loss  0.850273, Average Loss  0.867340, Time  0.358076
2021-09-10 10:04:53.518768 : Epoch 10, Batch    129, Loss  0.880225, Average Loss  0.867450, Time  0.361666
2021-09-10 10:04:55.400094 : Epoch 10, Batch    130, Loss  0.906776, Average Loss  0.867635, Time  0.461878
2021-09-10 10:04:57.183815 : Epoch 10, Batch    131, Loss  0.878051, Average Loss  0.867636, Time  0.346057
2021-09-10 10:04:58.955171 : Epoch 10, Batch    132, Loss  0.838529, Average Loss  0.867399, Time  0.355985
2021-09-10 10:05:00.769768 : Epoch 10, Batch    133, Loss  0.878857, Average Loss  0.867405, Time  0.355690
2021-09-10 10:05:02.671377 : Epoch 10, Batch    134, Loss  0.873695, Average Loss  0.867551, Time  0.453280
2021-09-10 10:05:04.492777 : Epoch 10, Batch    135, Loss  0.887219, Average Loss  0.867633, Time  0.381928
2021-09-10 10:05:06.293779 : Epoch 10, Batch    136, Loss  0.839692, Average Loss  0.867557, Time  0.357848
2021-09-10 10:05:08.080941 : Epoch 10, Batch    137, Loss  0.867971, Average Loss  0.867485, Time  0.354627
2021-09-10 10:05:09.955172 : Epoch 10, Batch    138, Loss  0.874042, Average Loss  0.867471, Time  0.451567
2021-09-10 10:05:11.823244 : Epoch 10, Batch    139, Loss  0.891071, Average Loss  0.867606, Time  0.437584
2021-09-10 10:05:13.641776 : Epoch 10, Batch    140, Loss  0.908661, Average Loss  0.867799, Time  0.362685
2021-09-10 10:05:15.436847 : Epoch 10, Batch    141, Loss  0.863482, Average Loss  0.867607, Time  0.360010
2021-09-10 10:05:17.305104 : Epoch 10, Batch    142, Loss  0.852890, Average Loss  0.867340, Time  0.432260
2021-09-10 10:05:19.215770 : Epoch 10, Batch    143, Loss  0.859126, Average Loss  0.867302, Time  0.459921
2021-09-10 10:05:21.003764 : Epoch 10, Batch    144, Loss  0.894202, Average Loss  0.867652, Time  0.367722
2021-09-10 10:05:22.788776 : Epoch 10, Batch    145, Loss  0.886565, Average Loss  0.867732, Time  0.361889
2021-09-10 10:05:24.588778 : Epoch 10, Batch    146, Loss  0.865737, Average Loss  0.867855, Time  0.374591
2021-09-10 10:05:26.478772 : Epoch 10, Batch    147, Loss  0.869687, Average Loss  0.867855, Time  0.452500
2021-09-10 10:05:28.259080 : Epoch 10, Batch    148, Loss  0.854245, Average Loss  0.867713, Time  0.356340
2021-09-10 10:05:30.056770 : Epoch 10, Batch    149, Loss  0.880792, Average Loss  0.867679, Time  0.363782
2021-09-10 10:05:31.855106 : Epoch 10, Batch    150, Loss  0.887789, Average Loss  0.867832, Time  0.387440
2021-09-10 10:05:33.704955 : Epoch 10, Batch    151, Loss  0.868064, Average Loss  0.867859, Time  0.424997
2021-09-10 10:05:35.501773 : Epoch 10, Batch    152, Loss  0.861997, Average Loss  0.868004, Time  0.361727
2021-09-10 10:05:37.269772 : Epoch 10, Batch    153, Loss  0.875587, Average Loss  0.867993, Time  0.363839
2021-09-10 10:05:39.117777 : Epoch 10, Batch    154, Loss  0.875890, Average Loss  0.868084, Time  0.431762
2021-09-10 10:05:40.980826 : Epoch 10, Batch    155, Loss  0.841274, Average Loss  0.867870, Time  0.448034
2021-09-10 10:05:42.777102 : Epoch 10, Batch    156, Loss  0.875444, Average Loss  0.868027, Time  0.373126
2021-09-10 10:05:44.574000 : Epoch 10, Batch    157, Loss  0.868662, Average Loss  0.868009, Time  0.360443
2021-09-10 10:05:46.380774 : Epoch 10, Batch    158, Loss  0.876490, Average Loss  0.868101, Time  0.391835
2021-09-10 10:05:48.281072 : Epoch 10, Batch    159, Loss  0.862364, Average Loss  0.868081, Time  0.452489
2021-09-10 10:05:50.072863 : Epoch 10, Batch    160, Loss  0.858465, Average Loss  0.867888, Time  0.356796
2021-09-10 10:05:51.882817 : Epoch 10, Batch    161, Loss  0.858941, Average Loss  0.867787, Time  0.357306
2021-09-10 10:05:53.688782 : Epoch 10, Batch    162, Loss  0.879144, Average Loss  0.867780, Time  0.359839
2021-09-10 10:05:55.587777 : Epoch 10, Batch    163, Loss  0.869027, Average Loss  0.867912, Time  0.453038
2021-09-10 10:05:57.416048 : Epoch 10, Batch    164, Loss  0.849806, Average Loss  0.867822, Time  0.401022
2021-09-10 10:05:59.203088 : Epoch 10, Batch    165, Loss  0.828927, Average Loss  0.867592, Time  0.357951
2021-09-10 10:06:00.994230 : Epoch 10, Batch    166, Loss  0.905147, Average Loss  0.867667, Time  0.357118
2021-09-10 10:06:02.883770 : Epoch 10, Batch    167, Loss  0.845337, Average Loss  0.867580, Time  0.439447
2021-09-10 10:06:04.761778 : Epoch 10, Batch    168, Loss  0.869258, Average Loss  0.867488, Time  0.450863
2021-09-10 10:06:06.543043 : Epoch 10, Batch    169, Loss  0.885927, Average Loss  0.867641, Time  0.360501
2021-09-10 10:06:08.302377 : Epoch 10, Batch    170, Loss  0.881685, Average Loss  0.867570, Time  0.364105
2021-09-10 10:06:10.115774 : Epoch 10, Batch    171, Loss  0.861278, Average Loss  0.867558, Time  0.410096
2021-09-10 10:06:12.000764 : Epoch 10, Batch    172, Loss  0.863724, Average Loss  0.867704, Time  0.449885
2021-09-10 10:06:13.782921 : Epoch 10, Batch    173, Loss  0.874382, Average Loss  0.867598, Time  0.356763
2021-09-10 10:06:15.585759 : Epoch 10, Batch    174, Loss  0.870832, Average Loss  0.867618, Time  0.361445
2021-09-10 10:06:17.392947 : Epoch 10, Batch    175, Loss  0.850412, Average Loss  0.867394, Time  0.368829
2021-09-10 10:06:19.288776 : Epoch 10, Batch    176, Loss  0.845502, Average Loss  0.867153, Time  0.461585
2021-09-10 10:06:21.057839 : Epoch 10, Batch    177, Loss  0.877691, Average Loss  0.867211, Time  0.363065
2021-09-10 10:06:22.847776 : Epoch 10, Batch    178, Loss  0.880154, Average Loss  0.867298, Time  0.367672
2021-09-10 10:06:24.625250 : Epoch 10, Batch    179, Loss  0.847796, Average Loss  0.867349, Time  0.367025
2021-09-10 10:06:26.492994 : Epoch 10, Batch    180, Loss  0.870236, Average Loss  0.867393, Time  0.450671
2021-09-10 10:06:28.279017 : Epoch 10, Batch    181, Loss  0.877348, Average Loss  0.867408, Time  0.364698
2021-09-10 10:06:30.076778 : Epoch 10, Batch    182, Loss  0.841389, Average Loss  0.867388, Time  0.357825
2021-09-10 10:06:31.903979 : Epoch 10, Batch    183, Loss  0.873842, Average Loss  0.867464, Time  0.374922
2021-09-10 10:06:33.803773 : Epoch 10, Batch    184, Loss  0.878821, Average Loss  0.867344, Time  0.450437
2021-09-10 10:06:35.594105 : Epoch 10, Batch    185, Loss  0.880122, Average Loss  0.867420, Time  0.371614
2021-09-10 10:06:37.391769 : Epoch 10, Batch    186, Loss  0.866538, Average Loss  0.867425, Time  0.356446
2021-09-10 10:06:39.197078 : Epoch 10, Batch    187, Loss  0.856594, Average Loss  0.867406, Time  0.357428
2021-09-10 10:06:41.105924 : Epoch 10, Batch    188, Loss  0.856205, Average Loss  0.867264, Time  0.450132
2021-09-10 10:06:42.976777 : Epoch 10, Batch    189, Loss  0.814265, Average Loss  0.867112, Time  0.448928
2021-09-10 10:06:44.768781 : Epoch 10, Batch    190, Loss  0.831479, Average Loss  0.867092, Time  0.359425
2021-09-10 10:06:46.573937 : Epoch 10, Batch    191, Loss  0.860674, Average Loss  0.867108, Time  0.355208
2021-09-10 10:06:48.390778 : Epoch 10, Batch    192, Loss  0.851798, Average Loss  0.866908, Time  0.402866
2021-09-10 10:06:50.271763 : Epoch 10, Batch    193, Loss  0.874818, Average Loss  0.866849, Time  0.453859
2021-09-10 10:06:52.070888 : Epoch 10, Batch    194, Loss  0.876543, Average Loss  0.866839, Time  0.366633
2021-09-10 10:06:53.860518 : Epoch 10, Batch    195, Loss  0.889594, Average Loss  0.867007, Time  0.357698
2021-09-10 10:06:55.680771 : Epoch 10, Batch    196, Loss  0.868786, Average Loss  0.866865, Time  0.383449
2021-09-10 10:06:57.562763 : Epoch 10, Batch    197, Loss  0.870163, Average Loss  0.866913, Time  0.451576
2021-09-10 10:06:59.354762 : Epoch 10, Batch    198, Loss  0.850592, Average Loss  0.866903, Time  0.367719
2021-09-10 10:07:01.184778 : Epoch 10, Batch    199, Loss  0.869141, Average Loss  0.866930, Time  0.372444
2021-09-10 10:07:02.980897 : Epoch 10, Batch    200, Loss  0.861986, Average Loss  0.866928, Time  0.364729
2021-09-10 10:07:04.862773 : Epoch 10, Batch    201, Loss  0.859050, Average Loss  0.867046, Time  0.462188
2021-09-10 10:11:55.183708 : CheckPoint: Validation Loss  0.00062524, Best Loss  0.00056427
2021-09-10 10:11:56.977825 : Epoch 10, Batch    202, Loss  0.873953, Average Loss  0.867221, Time  0.363711
2021-09-10 10:11:58.853770 : Epoch 10, Batch    203, Loss  0.852437, Average Loss  0.867285, Time  0.460284
2021-09-10 10:12:00.651781 : Epoch 10, Batch    204, Loss  0.858874, Average Loss  0.867156, Time  0.356286
2021-09-10 10:12:02.433781 : Epoch 10, Batch    205, Loss  0.883347, Average Loss  0.867248, Time  0.357925
2021-09-10 10:12:04.257761 : Epoch 10, Batch    206, Loss  0.844224, Average Loss  0.867038, Time  0.372416
2021-09-10 10:12:06.156779 : Epoch 10, Batch    207, Loss  0.844383, Average Loss  0.866872, Time  0.463321
2021-09-10 10:12:07.931813 : Epoch 10, Batch    208, Loss  0.852587, Average Loss  0.866847, Time  0.349404
2021-09-10 10:12:09.705778 : Epoch 10, Batch    209, Loss  0.880158, Average Loss  0.866930, Time  0.354594
2021-09-10 10:12:11.535945 : Epoch 10, Batch    210, Loss  0.864254, Average Loss  0.866913, Time  0.357032
2021-09-10 10:12:13.424804 : Epoch 10, Batch    211, Loss  0.858316, Average Loss  0.866863, Time  0.450173
2021-09-10 10:12:15.259963 : Epoch 10, Batch    212, Loss  0.874920, Average Loss  0.866796, Time  0.414615
2021-09-10 10:12:17.068775 : Epoch 10, Batch    213, Loss  0.848568, Average Loss  0.866721, Time  0.358341
2021-09-10 10:12:18.874761 : Epoch 10, Batch    214, Loss  0.872316, Average Loss  0.866672, Time  0.355917
2021-09-10 10:12:20.748777 : Epoch 10, Batch    215, Loss  0.896158, Average Loss  0.866728, Time  0.431592
2021-09-10 10:12:22.643776 : Epoch 10, Batch    216, Loss  0.847765, Average Loss  0.866734, Time  0.451499
2021-09-10 10:12:24.459765 : Epoch 10, Batch    217, Loss  0.864919, Average Loss  0.866801, Time  0.356675
2021-09-10 10:12:26.243772 : Epoch 10, Batch    218, Loss  0.853665, Average Loss  0.866710, Time  0.368338
2021-09-10 10:12:28.060773 : Epoch 10, Batch    219, Loss  0.858846, Average Loss  0.866693, Time  0.392725
2021-09-10 10:12:29.949773 : Epoch 10, Batch    220, Loss  0.897841, Average Loss  0.866962, Time  0.453716
2021-09-10 10:12:31.745766 : Epoch 10, Batch    221, Loss  0.863456, Average Loss  0.866894, Time  0.366843
2021-09-10 10:12:33.541775 : Epoch 10, Batch    222, Loss  0.857570, Average Loss  0.866815, Time  0.365063
2021-09-10 10:12:35.365778 : Epoch 10, Batch    223, Loss  0.839820, Average Loss  0.866812, Time  0.384806
2021-09-10 10:12:37.250775 : Epoch 10, Batch    224, Loss  0.867830, Average Loss  0.866903, Time  0.452832
2021-09-10 10:12:39.033753 : Epoch 10, Batch    225, Loss  0.863773, Average Loss  0.866789, Time  0.353504
2021-09-10 10:12:40.797775 : Epoch 10, Batch    226, Loss  0.868294, Average Loss  0.866721, Time  0.359450
2021-09-10 10:12:42.615774 : Epoch 10, Batch    227, Loss  0.878214, Average Loss  0.866827, Time  0.387924
2021-09-10 10:12:44.497770 : Epoch 10, Batch    228, Loss  0.884435, Average Loss  0.866765, Time  0.449149
2021-09-10 10:12:46.296782 : Epoch 10, Batch    229, Loss  0.885866, Average Loss  0.866860, Time  0.364650
2021-09-10 10:12:48.097778 : Epoch 10, Batch    230, Loss  0.875143, Average Loss  0.866764, Time  0.360764
2021-09-10 10:12:49.907143 : Epoch 10, Batch    231, Loss  0.844195, Average Loss  0.866574, Time  0.396787
2021-09-10 10:12:51.772776 : Epoch 10, Batch    232, Loss  0.862314, Average Loss  0.866445, Time  0.450140
2021-09-10 10:12:53.566768 : Epoch 10, Batch    233, Loss  0.880986, Average Loss  0.866361, Time  0.358072
2021-09-10 10:12:55.344765 : Epoch 10, Batch    234, Loss  0.891812, Average Loss  0.866514, Time  0.356395
2021-09-10 10:12:57.150775 : Epoch 10, Batch    235, Loss  0.869541, Average Loss  0.866610, Time  0.395357
2021-09-10 10:12:59.052776 : Epoch 10, Batch    236, Loss  0.865576, Average Loss  0.866581, Time  0.452439
2021-09-10 10:13:00.852117 : Epoch 10, Batch    237, Loss  0.868080, Average Loss  0.866554, Time  0.350019
2021-09-10 10:13:02.613780 : Epoch 10, Batch    238, Loss  0.874093, Average Loss  0.866595, Time  0.356436
2021-09-10 10:13:04.418770 : Epoch 10, Batch    239, Loss  0.861849, Average Loss  0.866570, Time  0.383329
2021-09-10 10:13:06.297759 : Epoch 10, Batch    240, Loss  0.870371, Average Loss  0.866611, Time  0.451880
2021-09-10 10:13:08.066395 : Epoch 10, Batch    241, Loss  0.890682, Average Loss  0.866974, Time  0.362155
2021-09-10 10:13:09.839771 : Epoch 10, Batch    242, Loss  0.875837, Average Loss  0.867173, Time  0.357615
2021-09-10 10:13:11.679763 : Epoch 10, Batch    243, Loss  0.861076, Average Loss  0.867131, Time  0.413318
2021-09-10 10:13:13.551762 : Epoch 10, Batch    244, Loss  0.854221, Average Loss  0.867151, Time  0.451540
2021-09-10 10:13:15.333778 : Epoch 10, Batch    245, Loss  0.897071, Average Loss  0.867459, Time  0.356617
2021-09-10 10:13:17.159808 : Epoch 10, Batch    246, Loss  0.868780, Average Loss  0.867392, Time  0.357739
2021-09-10 10:13:18.979098 : Epoch 10, Batch    247, Loss  0.894146, Average Loss  0.867586, Time  0.381047
2021-09-10 10:13:20.878864 : Epoch 10, Batch    248, Loss  0.887644, Average Loss  0.867691, Time  0.459080
2021-09-10 10:13:22.678110 : Epoch 10, Batch    249, Loss  0.857204, Average Loss  0.867451, Time  0.361955
2021-09-10 10:13:24.454779 : Epoch 10, Batch    250, Loss  0.871031, Average Loss  0.867575, Time  0.362775
2021-09-10 10:13:26.261871 : Epoch 10, Batch    251, Loss  0.852803, Average Loss  0.867606, Time  0.401603
2021-09-10 10:13:28.151777 : Epoch 10, Batch    252, Loss  0.840398, Average Loss  0.867556, Time  0.452494
2021-09-10 10:13:29.926011 : Epoch 10, Batch    253, Loss  0.860662, Average Loss  0.867290, Time  0.356308
2021-09-10 10:13:31.684775 : Epoch 10, Batch    254, Loss  0.834586, Average Loss  0.866973, Time  0.356428
2021-09-10 10:13:33.489788 : Epoch 10, Batch    255, Loss  0.868612, Average Loss  0.866813, Time  0.399094
2021-09-10 10:13:35.353774 : Epoch 10, Batch    256, Loss  0.874413, Average Loss  0.866800, Time  0.435456
2021-09-10 10:13:37.148159 : Epoch 10, Batch    257, Loss  0.868665, Average Loss  0.866744, Time  0.356340
2021-09-10 10:13:38.922761 : Epoch 10, Batch    258, Loss  0.899700, Average Loss  0.866862, Time  0.355971
2021-09-10 10:13:40.760766 : Epoch 10, Batch    259, Loss  0.883500, Average Loss  0.866947, Time  0.406760
2021-09-10 10:13:42.624835 : Epoch 10, Batch    260, Loss  0.881894, Average Loss  0.866998, Time  0.444053
2021-09-10 10:13:44.412774 : Epoch 10, Batch    261, Loss  0.867587, Average Loss  0.867032, Time  0.365971
2021-09-10 10:13:46.180821 : Epoch 10, Batch    262, Loss  0.855534, Average Loss  0.866818, Time  0.358867
2021-09-10 10:13:48.021784 : Epoch 10, Batch    263, Loss  0.878389, Average Loss  0.866938, Time  0.409021
2021-09-10 10:13:49.922961 : Epoch 10, Batch    264, Loss  0.887964, Average Loss  0.867062, Time  0.448842
2021-09-10 10:13:51.718778 : Epoch 10, Batch    265, Loss  0.866245, Average Loss  0.867129, Time  0.356544
2021-09-10 10:13:53.494031 : Epoch 10, Batch    266, Loss  0.868055, Average Loss  0.867160, Time  0.356760
2021-09-10 10:13:55.343765 : Epoch 10, Batch    267, Loss  0.889133, Average Loss  0.867227, Time  0.405294
2021-09-10 10:13:57.227776 : Epoch 10, Batch    268, Loss  0.886470, Average Loss  0.867250, Time  0.466874
2021-09-10 10:13:59.028093 : Epoch 10, Batch    269, Loss  0.832762, Average Loss  0.867018, Time  0.381600
2021-09-10 10:14:00.809763 : Epoch 10, Batch    270, Loss  0.872863, Average Loss  0.867145, Time  0.374286
2021-09-10 10:14:02.612234 : Epoch 10, Batch    271, Loss  0.847037, Average Loss  0.866983, Time  0.371666
2021-09-10 10:14:04.493771 : Epoch 10, Batch    272, Loss  0.839945, Average Loss  0.866899, Time  0.454585
2021-09-10 10:14:06.260819 : Epoch 10, Batch    273, Loss  0.872356, Average Loss  0.866848, Time  0.363022
2021-09-10 10:14:08.043776 : Epoch 10, Batch    274, Loss  0.852266, Average Loss  0.866743, Time  0.358615
2021-09-10 10:14:09.843804 : Epoch 10, Batch    275, Loss  0.886674, Average Loss  0.866765, Time  0.373048
2021-09-10 10:14:11.750068 : Epoch 10, Batch    276, Loss  0.870027, Average Loss  0.866804, Time  0.450618
2021-09-10 10:14:13.561764 : Epoch 10, Batch    277, Loss  0.895725, Average Loss  0.867002, Time  0.373578
2021-09-10 10:14:15.360775 : Epoch 10, Batch    278, Loss  0.856923, Average Loss  0.866913, Time  0.355838
2021-09-10 10:14:17.155913 : Epoch 10, Batch    279, Loss  0.839548, Average Loss  0.866846, Time  0.357536
2021-09-10 10:14:19.038784 : Epoch 10, Batch    280, Loss  0.895214, Average Loss  0.867158, Time  0.447389
2021-09-10 10:14:20.937070 : Epoch 10, Batch    281, Loss  0.856899, Average Loss  0.867298, Time  0.450206
2021-09-10 10:14:22.717804 : Epoch 10, Batch    282, Loss  0.858905, Average Loss  0.867435, Time  0.356720
2021-09-10 10:14:24.492173 : Epoch 10, Batch    283, Loss  0.874755, Average Loss  0.867412, Time  0.355887
2021-09-10 10:14:26.296982 : Epoch 10, Batch    284, Loss  0.903701, Average Loss  0.867487, Time  0.396807
2021-09-10 10:14:28.148089 : Epoch 10, Batch    285, Loss  0.870375, Average Loss  0.867482, Time  0.453620
2021-09-10 10:14:29.937933 : Epoch 10, Batch    286, Loss  0.845147, Average Loss  0.867182, Time  0.360219
2021-09-10 10:14:31.747215 : Epoch 10, Batch    287, Loss  0.858267, Average Loss  0.867157, Time  0.369159
2021-09-10 10:14:33.567763 : Epoch 10, Batch    288, Loss  0.861193, Average Loss  0.867203, Time  0.408171
2021-09-10 10:14:35.454106 : Epoch 10, Batch    289, Loss  0.856513, Average Loss  0.867126, Time  0.456110
2021-09-10 10:14:37.245819 : Epoch 10, Batch    290, Loss  0.847890, Average Loss  0.866885, Time  0.355451
2021-09-10 10:14:39.022968 : Epoch 10, Batch    291, Loss  0.838598, Average Loss  0.866691, Time  0.357099
2021-09-10 10:14:40.825816 : Epoch 10, Batch    292, Loss  0.868582, Average Loss  0.866707, Time  0.370853
2021-09-10 10:14:42.685031 : Epoch 10, Batch    293, Loss  0.850828, Average Loss  0.866551, Time  0.451133
2021-09-10 10:14:44.491774 : Epoch 10, Batch    294, Loss  0.853113, Average Loss  0.866660, Time  0.357854
2021-09-10 10:14:46.255939 : Epoch 10, Batch    295, Loss  0.875666, Average Loss  0.866763, Time  0.355958
2021-09-10 10:14:48.061779 : Epoch 10, Batch    296, Loss  0.888168, Average Loss  0.866840, Time  0.376509
2021-09-10 10:14:49.991104 : Epoch 10, Batch    297, Loss  0.848184, Average Loss  0.866756, Time  0.467205
2021-09-10 10:14:51.904777 : Epoch 10, Batch    298, Loss  0.868172, Average Loss  0.866730, Time  0.448856
2021-09-10 10:14:53.687772 : Epoch 10, Batch    299, Loss  0.882174, Average Loss  0.866762, Time  0.359322
2021-09-10 10:14:55.496763 : Epoch 10, Batch    300, Loss  0.883566, Average Loss  0.866862, Time  0.363850
2021-09-10 10:14:57.386767 : Epoch 10, Batch    301, Loss  0.867294, Average Loss  0.866927, Time  0.409199
2021-09-10 10:19:48.644722 : CheckPoint: Validation Loss  0.00061933, Best Loss  0.00056427
2021-09-10 10:19:50.443950 : Epoch 10, Batch    302, Loss  0.873278, Average Loss  0.866950, Time  0.356122
2021-09-10 10:19:52.260815 : Epoch 10, Batch    303, Loss  0.870258, Average Loss  0.866967, Time  0.398742
2021-09-10 10:19:54.140795 : Epoch 10, Batch    304, Loss  0.834794, Average Loss  0.866789, Time  0.457215
2021-09-10 10:19:55.933780 : Epoch 10, Batch    305, Loss  0.863657, Average Loss  0.866766, Time  0.357263
2021-09-10 10:19:57.725148 : Epoch 10, Batch    306, Loss  0.872842, Average Loss  0.866749, Time  0.356167
2021-09-10 10:19:59.534816 : Epoch 10, Batch    307, Loss  0.879381, Average Loss  0.866802, Time  0.389146
2021-09-10 10:20:01.383783 : Epoch 10, Batch    308, Loss  0.886904, Average Loss  0.866956, Time  0.449804
2021-09-10 10:20:03.152772 : Epoch 10, Batch    309, Loss  0.872195, Average Loss  0.867105, Time  0.356134
2021-09-10 10:20:04.975776 : Epoch 10, Batch    310, Loss  0.864390, Average Loss  0.867194, Time  0.356112
2021-09-10 10:20:06.798777 : Epoch 10, Batch    311, Loss  0.858691, Average Loss  0.867036, Time  0.377182
2021-09-10 10:20:08.686763 : Epoch 10, Batch    312, Loss  0.893189, Average Loss  0.867397, Time  0.452587
2021-09-10 10:20:10.485760 : Epoch 10, Batch    313, Loss  0.873515, Average Loss  0.867436, Time  0.362668
2021-09-10 10:20:12.266872 : Epoch 10, Batch    314, Loss  0.849071, Average Loss  0.867239, Time  0.365655
2021-09-10 10:20:14.047879 : Epoch 10, Batch    315, Loss  0.873085, Average Loss  0.867374, Time  0.362521
2021-09-10 10:20:15.944780 : Epoch 10, Batch    316, Loss  0.870533, Average Loss  0.867337, Time  0.451477
2021-09-10 10:20:17.742763 : Epoch 10, Batch    317, Loss  0.843463, Average Loss  0.867202, Time  0.347253
2021-09-10 10:20:19.552778 : Epoch 10, Batch    318, Loss  0.867521, Average Loss  0.867220, Time  0.355967
2021-09-10 10:20:21.378778 : Epoch 10, Batch    319, Loss  0.850226, Average Loss  0.867224, Time  0.358018
2021-09-10 10:20:23.286888 : Epoch 10, Batch    320, Loss  0.852275, Average Loss  0.867195, Time  0.448956
2021-09-10 10:20:25.182765 : Epoch 10, Batch    321, Loss  0.881310, Average Loss  0.867256, Time  0.446536
2021-09-10 10:20:26.989847 : Epoch 10, Batch    322, Loss  0.870829, Average Loss  0.867315, Time  0.357928
2021-09-10 10:20:28.794945 : Epoch 10, Batch    323, Loss  0.885490, Average Loss  0.867365, Time  0.355133
2021-09-10 10:20:30.622933 : Epoch 10, Batch    324, Loss  0.828763, Average Loss  0.867341, Time  0.395966
2021-09-10 10:20:32.491308 : Epoch 10, Batch    325, Loss  0.867580, Average Loss  0.867260, Time  0.454234
2021-09-10 10:20:34.267893 : Epoch 10, Batch    326, Loss  0.883942, Average Loss  0.867344, Time  0.362501
2021-09-10 10:20:36.066173 : Epoch 10, Batch    327, Loss  0.846015, Average Loss  0.867172, Time  0.356791
2021-09-10 10:20:37.902768 : Epoch 10, Batch    328, Loss  0.832462, Average Loss  0.867083, Time  0.375678
2021-09-10 10:20:39.780070 : Epoch 10, Batch    329, Loss  0.873179, Average Loss  0.867047, Time  0.448442
2021-09-10 10:20:41.566953 : Epoch 10, Batch    330, Loss  0.878914, Average Loss  0.866908, Time  0.357859
2021-09-10 10:20:43.373163 : Epoch 10, Batch    331, Loss  0.887824, Average Loss  0.866957, Time  0.357301
2021-09-10 10:20:45.183778 : Epoch 10, Batch    332, Loss  0.874820, Average Loss  0.867138, Time  0.358489
2021-09-10 10:20:47.068104 : Epoch 10, Batch    333, Loss  0.861640, Average Loss  0.867052, Time  0.462223
2021-09-10 10:20:48.853850 : Epoch 10, Batch    334, Loss  0.866192, Average Loss  0.867015, Time  0.343459
2021-09-10 10:20:50.617764 : Epoch 10, Batch    335, Loss  0.858176, Average Loss  0.866870, Time  0.363165
2021-09-10 10:20:52.393472 : Epoch 10, Batch    336, Loss  0.866365, Average Loss  0.867003, Time  0.367979
2021-09-10 10:20:54.270111 : Epoch 10, Batch    337, Loss  0.865856, Average Loss  0.866992, Time  0.453283
2021-09-10 10:20:56.071940 : Epoch 10, Batch    338, Loss  0.856536, Average Loss  0.866905, Time  0.362656
2021-09-10 10:20:57.878808 : Epoch 10, Batch    339, Loss  0.856366, Average Loss  0.866731, Time  0.372374
2021-09-10 10:20:59.671769 : Epoch 10, Batch    340, Loss  0.849213, Average Loss  0.866434, Time  0.371448
2021-09-10 10:21:01.535160 : Epoch 10, Batch    341, Loss  0.867670, Average Loss  0.866455, Time  0.452496
2021-09-10 10:21:03.304871 : Epoch 10, Batch    342, Loss  0.861271, Average Loss  0.866497, Time  0.363619
2021-09-10 10:21:05.091820 : Epoch 10, Batch    343, Loss  0.871027, Average Loss  0.866556, Time  0.373231
2021-09-10 10:21:06.906926 : Epoch 10, Batch    344, Loss  0.873005, Average Loss  0.866451, Time  0.390476
2021-09-10 10:21:08.796910 : Epoch 10, Batch    345, Loss  0.856177, Average Loss  0.866299, Time  0.457151
2021-09-10 10:21:10.598783 : Epoch 10, Batch    346, Loss  0.867693, Average Loss  0.866308, Time  0.358090
2021-09-10 10:21:12.388767 : Epoch 10, Batch    347, Loss  0.845223, Average Loss  0.866186, Time  0.356776
2021-09-10 10:21:14.176803 : Epoch 10, Batch    348, Loss  0.888041, Average Loss  0.866355, Time  0.373662
2021-09-10 10:21:16.047781 : Epoch 10, Batch    349, Loss  0.909754, Average Loss  0.866500, Time  0.460186
2021-09-10 10:21:17.845825 : Epoch 10, Batch    350, Loss  0.880376, Average Loss  0.866463, Time  0.336637
2021-09-10 10:21:19.634802 : Epoch 10, Batch    351, Loss  0.864981, Average Loss  0.866447, Time  0.367604
2021-09-10 10:21:21.415182 : Epoch 10, Batch    352, Loss  0.851417, Average Loss  0.866394, Time  0.362906
2021-09-10 10:21:23.289935 : Epoch 10, Batch    353, Loss  0.881905, Average Loss  0.866426, Time  0.467294
2021-09-10 10:21:25.062772 : Epoch 10, Batch    354, Loss  0.864782, Average Loss  0.866370, Time  0.366824
2021-09-10 10:21:26.849207 : Epoch 10, Batch    355, Loss  0.877892, Average Loss  0.866554, Time  0.363726
2021-09-10 10:21:28.648763 : Epoch 10, Batch    356, Loss  0.840135, Average Loss  0.866377, Time  0.392718
2021-09-10 10:21:30.505218 : Epoch 10, Batch    357, Loss  0.861085, Average Loss  0.866339, Time  0.453817
2021-09-10 10:21:32.313776 : Epoch 10, Batch    358, Loss  0.846250, Average Loss  0.866188, Time  0.357489
2021-09-10 10:21:34.097782 : Epoch 10, Batch    359, Loss  0.817342, Average Loss  0.865963, Time  0.361802
2021-09-10 10:21:35.912104 : Epoch 10, Batch    360, Loss  0.858624, Average Loss  0.865964, Time  0.385616
2021-09-10 10:21:37.801109 : Epoch 10, Batch    361, Loss  0.876063, Average Loss  0.866049, Time  0.456575
2021-09-10 10:21:39.577873 : Epoch 10, Batch    362, Loss  0.895772, Average Loss  0.866132, Time  0.356971
2021-09-10 10:21:41.373071 : Epoch 10, Batch    363, Loss  0.876622, Average Loss  0.866170, Time  0.355995
2021-09-10 10:21:43.173238 : Epoch 10, Batch    364, Loss  0.842588, Average Loss  0.866134, Time  0.373664
2021-09-10 10:21:45.068228 : Epoch 10, Batch    365, Loss  0.904437, Average Loss  0.866512, Time  0.459062
2021-09-10 10:21:46.841778 : Epoch 10, Batch    366, Loss  0.868241, Average Loss  0.866327, Time  0.344705
2021-09-10 10:21:48.622943 : Epoch 10, Batch    367, Loss  0.867002, Average Loss  0.866436, Time  0.361818
2021-09-10 10:21:50.415808 : Epoch 10, Batch    368, Loss  0.835991, Average Loss  0.866269, Time  0.361137
2021-09-10 10:21:52.299808 : Epoch 10, Batch    369, Loss  0.851082, Average Loss  0.866095, Time  0.462382
2021-09-10 10:21:54.083765 : Epoch 10, Batch    370, Loss  0.838975, Average Loss  0.865881, Time  0.356914
2021-09-10 10:21:55.851072 : Epoch 10, Batch    371, Loss  0.848700, Average Loss  0.865819, Time  0.357233
2021-09-10 10:21:57.709098 : Epoch 10, Batch    372, Loss  0.903081, Average Loss  0.866015, Time  0.433180
2021-09-10 10:21:59.549858 : Epoch 10, Batch    373, Loss  0.860792, Average Loss  0.865947, Time  0.416513
2021-09-10 10:22:01.346771 : Epoch 10, Batch    374, Loss  0.856909, Average Loss  0.865878, Time  0.358256
2021-09-10 10:22:03.110812 : Epoch 10, Batch    375, Loss  0.852648, Average Loss  0.865889, Time  0.356276
2021-09-10 10:22:04.991918 : Epoch 10, Batch    376, Loss  0.877492, Average Loss  0.866049, Time  0.449620
2021-09-10 10:22:06.869767 : Epoch 10, Batch    377, Loss  0.875840, Average Loss  0.866040, Time  0.458589
2021-09-10 10:22:08.677871 : Epoch 10, Batch    378, Loss  0.826054, Average Loss  0.865769, Time  0.375898
2021-09-10 10:22:10.466876 : Epoch 10, Batch    379, Loss  0.873258, Average Loss  0.865897, Time  0.358301
2021-09-10 10:22:12.247778 : Epoch 10, Batch    380, Loss  0.845088, Average Loss  0.865771, Time  0.379157
2021-09-10 10:22:14.131781 : Epoch 10, Batch    381, Loss  0.880139, Average Loss  0.865785, Time  0.461441
2021-09-10 10:22:15.903657 : Epoch 10, Batch    382, Loss  0.859710, Average Loss  0.865876, Time  0.357654
2021-09-10 10:22:17.655776 : Epoch 10, Batch    383, Loss  0.871980, Average Loss  0.865867, Time  0.357033
2021-09-10 10:22:19.476766 : Epoch 10, Batch    384, Loss  0.871030, Average Loss  0.865828, Time  0.389308
2021-09-10 10:22:21.343117 : Epoch 10, Batch    385, Loss  0.860384, Average Loss  0.865729, Time  0.451776
2021-09-10 10:22:23.129792 : Epoch 10, Batch    386, Loss  0.823332, Average Loss  0.865513, Time  0.356667
2021-09-10 10:22:24.916900 : Epoch 10, Batch    387, Loss  0.872345, Average Loss  0.865592, Time  0.363590
2021-09-10 10:22:26.725067 : Epoch 10, Batch    388, Loss  0.886530, Average Loss  0.865744, Time  0.385182
2021-09-10 10:22:28.597274 : Epoch 10, Batch    389, Loss  0.873036, Average Loss  0.866038, Time  0.456060
2021-09-10 10:22:30.366775 : Epoch 10, Batch    390, Loss  0.868434, Average Loss  0.866222, Time  0.365119
2021-09-10 10:22:32.160820 : Epoch 10, Batch    391, Loss  0.865400, Average Loss  0.866246, Time  0.356648
2021-09-10 10:22:33.970785 : Epoch 10, Batch    392, Loss  0.840702, Average Loss  0.866191, Time  0.389952
2021-09-10 10:22:35.885773 : Epoch 10, Batch    393, Loss  0.871673, Average Loss  0.866175, Time  0.460361
2021-09-10 10:22:37.682102 : Epoch 10, Batch    394, Loss  0.840287, Average Loss  0.865994, Time  0.370071
2021-09-10 10:22:39.480108 : Epoch 10, Batch    395, Loss  0.887736, Average Loss  0.865984, Time  0.371309
2021-09-10 10:22:41.296861 : Epoch 10, Batch    396, Loss  0.870899, Average Loss  0.865995, Time  0.373948
2021-09-10 10:22:43.169084 : Epoch 10, Batch    397, Loss  0.883148, Average Loss  0.866060, Time  0.451205
2021-09-10 10:22:45.062776 : Epoch 10, Batch    398, Loss  0.850970, Average Loss  0.866062, Time  0.446689
2021-09-10 10:22:46.875779 : Epoch 10, Batch    399, Loss  0.860455, Average Loss  0.866018, Time  0.356816
2021-09-10 10:22:48.670083 : Epoch 10, Batch    400, Loss  0.883746, Average Loss  0.866127, Time  0.355934
2021-09-10 10:22:50.564761 : Epoch 10, Batch    401, Loss  0.856906, Average Loss  0.866116, Time  0.388739
2021-09-10 10:27:41.959721 : CheckPoint: Validation Loss  0.00061388, Best Loss  0.00056427
2021-09-10 10:27:43.767779 : Epoch 10, Batch    402, Loss  0.904845, Average Loss  0.866271, Time  0.356859
2021-09-10 10:27:45.615785 : Epoch 10, Batch    403, Loss  0.886621, Average Loss  0.866442, Time  0.408079
2021-09-10 10:27:47.492079 : Epoch 10, Batch    404, Loss  0.876152, Average Loss  0.866528, Time  0.452826
2021-09-10 10:27:49.259778 : Epoch 10, Batch    405, Loss  0.842106, Average Loss  0.866322, Time  0.355228
2021-09-10 10:27:51.030161 : Epoch 10, Batch    406, Loss  0.871358, Average Loss  0.866457, Time  0.360748
2021-09-10 10:27:52.819825 : Epoch 10, Batch    407, Loss  0.855503, Average Loss  0.866513, Time  0.375086
2021-09-10 10:27:54.703223 : Epoch 10, Batch    408, Loss  0.898920, Average Loss  0.866745, Time  0.451600
2021-09-10 10:27:56.499770 : Epoch 10, Batch    409, Loss  0.860275, Average Loss  0.866645, Time  0.351093
2021-09-10 10:27:58.290777 : Epoch 10, Batch    410, Loss  0.867638, Average Loss  0.866662, Time  0.360277
2021-09-10 10:28:00.057818 : Epoch 10, Batch    411, Loss  0.854548, Average Loss  0.866643, Time  0.359434
2021-09-10 10:28:01.931775 : Epoch 10, Batch    412, Loss  0.878927, Average Loss  0.866663, Time  0.453168
2021-09-10 10:28:03.833080 : Epoch 10, Batch    413, Loss  0.874308, Average Loss  0.866792, Time  0.434420
2021-09-10 10:28:05.637762 : Epoch 10, Batch    414, Loss  0.875842, Average Loss  0.866810, Time  0.359022
2021-09-10 10:28:07.434779 : Epoch 10, Batch    415, Loss  0.836638, Average Loss  0.866512, Time  0.357583
2021-09-10 10:28:09.295062 : Epoch 10, Batch    416, Loss  0.884190, Average Loss  0.866694, Time  0.408436
2021-09-10 10:28:11.176783 : Epoch 10, Batch    417, Loss  0.838855, Average Loss  0.866564, Time  0.453527
2021-09-10 10:28:12.977225 : Epoch 10, Batch    418, Loss  0.894819, Average Loss  0.866770, Time  0.356592
2021-09-10 10:28:14.772093 : Epoch 10, Batch    419, Loss  0.873240, Average Loss  0.866842, Time  0.368965
2021-09-10 10:28:16.583799 : Epoch 10, Batch    420, Loss  0.842512, Average Loss  0.866565, Time  0.372986
2021-09-10 10:28:18.469840 : Epoch 10, Batch    421, Loss  0.893632, Average Loss  0.866716, Time  0.452478
2021-09-10 10:28:20.271788 : Epoch 10, Batch    422, Loss  0.854027, Average Loss  0.866698, Time  0.368629
2021-09-10 10:28:22.058347 : Epoch 10, Batch    423, Loss  0.838887, Average Loss  0.866694, Time  0.356879
2021-09-10 10:28:23.829813 : Epoch 10, Batch    424, Loss  0.861941, Average Loss  0.866664, Time  0.356238
2021-09-10 10:28:25.717927 : Epoch 10, Batch    425, Loss  0.851502, Average Loss  0.866603, Time  0.453478
2021-09-10 10:28:27.608781 : Epoch 10, Batch    426, Loss  0.894489, Average Loss  0.866734, Time  0.447166
2021-09-10 10:28:29.405081 : Epoch 10, Batch    427, Loss  0.892814, Average Loss  0.866807, Time  0.359009
2021-09-10 10:28:31.196781 : Epoch 10, Batch    428, Loss  0.844186, Average Loss  0.866605, Time  0.356435
2021-09-10 10:28:33.028814 : Epoch 10, Batch    429, Loss  0.838200, Average Loss  0.866367, Time  0.396379
2021-09-10 10:28:34.914781 : Epoch 10, Batch    430, Loss  0.867124, Average Loss  0.866327, Time  0.449374
2021-09-10 10:28:36.710158 : Epoch 10, Batch    431, Loss  0.856144, Average Loss  0.866387, Time  0.354689
2021-09-10 10:28:38.504760 : Epoch 10, Batch    432, Loss  0.874779, Average Loss  0.866449, Time  0.358098
2021-09-10 10:28:40.289775 : Epoch 10, Batch    433, Loss  0.875695, Average Loss  0.866423, Time  0.366778
2021-09-10 10:28:42.216811 : Epoch 10, Batch    434, Loss  0.865812, Average Loss  0.866293, Time  0.452331
2021-09-10 10:28:43.990778 : Epoch 10, Batch    435, Loss  0.875942, Average Loss  0.866325, Time  0.351541
2021-09-10 10:28:45.785953 : Epoch 10, Batch    436, Loss  0.849477, Average Loss  0.866244, Time  0.372669
2021-09-10 10:28:47.575779 : Epoch 10, Batch    437, Loss  0.871999, Average Loss  0.866264, Time  0.355815
2021-09-10 10:28:49.480965 : Epoch 10, Batch    438, Loss  0.887554, Average Loss  0.866331, Time  0.453110
2021-09-10 10:28:51.354834 : Epoch 10, Batch    439, Loss  0.880548, Average Loss  0.866425, Time  0.446843
2021-09-10 10:28:53.125817 : Epoch 10, Batch    440, Loss  0.852851, Average Loss  0.866337, Time  0.366246
2021-09-10 10:28:54.900624 : Epoch 10, Batch    441, Loss  0.869130, Average Loss  0.866229, Time  0.359218
2021-09-10 10:28:56.732820 : Epoch 10, Batch    442, Loss  0.878932, Average Loss  0.866245, Time  0.426961
2021-09-10 10:28:58.617788 : Epoch 10, Batch    443, Loss  0.875896, Average Loss  0.866319, Time  0.452707
2021-09-10 10:29:00.422777 : Epoch 10, Batch    444, Loss  0.877589, Average Loss  0.866436, Time  0.362543
2021-09-10 10:29:02.214778 : Epoch 10, Batch    445, Loss  0.827136, Average Loss  0.866086, Time  0.357420
2021-09-10 10:29:04.036897 : Epoch 10, Batch    446, Loss  0.847857, Average Loss  0.865981, Time  0.376226
2021-09-10 10:29:05.916816 : Epoch 10, Batch    447, Loss  0.897942, Average Loss  0.866000, Time  0.450886
2021-09-10 10:29:07.707860 : Epoch 10, Batch    448, Loss  0.866126, Average Loss  0.865893, Time  0.335848
2021-09-10 10:29:09.502779 : Epoch 10, Batch    449, Loss  0.869399, Average Loss  0.865954, Time  0.358486
2021-09-10 10:29:11.301794 : Epoch 10, Batch    450, Loss  0.869138, Average Loss  0.865944, Time  0.356637
2021-09-10 10:29:13.185170 : Epoch 10, Batch    451, Loss  0.882592, Average Loss  0.866093, Time  0.450101
2021-09-10 10:29:14.972777 : Epoch 10, Batch    452, Loss  0.861697, Average Loss  0.866200, Time  0.349661
2021-09-10 10:29:16.765763 : Epoch 10, Batch    453, Loss  0.913539, Average Loss  0.866464, Time  0.359061
2021-09-10 10:29:18.555782 : Epoch 10, Batch    454, Loss  0.883070, Average Loss  0.866706, Time  0.359539
2021-09-10 10:29:20.453765 : Epoch 10, Batch    455, Loss  0.861431, Average Loss  0.866671, Time  0.453119
2021-09-10 10:29:22.312906 : Epoch 10, Batch    456, Loss  0.876033, Average Loss  0.866679, Time  0.412843
2021-09-10 10:29:24.102047 : Epoch 10, Batch    457, Loss  0.872691, Average Loss  0.866699, Time  0.357220
2021-09-10 10:29:25.887779 : Epoch 10, Batch    458, Loss  0.885232, Average Loss  0.866626, Time  0.355903
2021-09-10 10:29:27.732554 : Epoch 10, Batch    459, Loss  0.873347, Average Loss  0.866576, Time  0.429873
2021-09-10 10:29:29.605781 : Epoch 10, Batch    460, Loss  0.849111, Average Loss  0.866412, Time  0.456985
2021-09-10 10:29:31.373772 : Epoch 10, Batch    461, Loss  0.873846, Average Loss  0.866443, Time  0.362332
2021-09-10 10:29:33.157103 : Epoch 10, Batch    462, Loss  0.880651, Average Loss  0.866569, Time  0.358621
2021-09-10 10:29:34.977778 : Epoch 10, Batch    463, Loss  0.918186, Average Loss  0.866768, Time  0.390463
2021-09-10 10:29:36.871775 : Epoch 10, Batch    464, Loss  0.854029, Average Loss  0.866598, Time  0.464773
2021-09-10 10:29:38.644503 : Epoch 10, Batch    465, Loss  0.868444, Average Loss  0.866609, Time  0.360068
2021-09-10 10:29:40.433072 : Epoch 10, Batch    466, Loss  0.856285, Average Loss  0.866550, Time  0.356425
2021-09-10 10:29:42.268826 : Epoch 10, Batch    467, Loss  0.905894, Average Loss  0.866634, Time  0.367510
2021-09-10 10:29:44.144781 : Epoch 10, Batch    468, Loss  0.853387, Average Loss  0.866469, Time  0.452035
2021-09-10 10:29:45.904773 : Epoch 10, Batch    469, Loss  0.874500, Average Loss  0.866677, Time  0.360653
2021-09-10 10:29:47.675772 : Epoch 10, Batch    470, Loss  0.873820, Average Loss  0.866682, Time  0.358965
2021-09-10 10:29:49.484874 : Epoch 10, Batch    471, Loss  0.863534, Average Loss  0.866764, Time  0.373260
2021-09-10 10:29:51.370879 : Epoch 10, Batch    472, Loss  0.874142, Average Loss  0.866935, Time  0.452656
2021-09-10 10:29:53.160767 : Epoch 10, Batch    473, Loss  0.865709, Average Loss  0.866902, Time  0.335855
2021-09-10 10:29:54.931822 : Epoch 10, Batch    474, Loss  0.877253, Average Loss  0.867027, Time  0.363671
2021-09-10 10:29:56.726827 : Epoch 10, Batch    475, Loss  0.850502, Average Loss  0.866846, Time  0.363415
2021-09-10 10:29:58.607109 : Epoch 10, Batch    476, Loss  0.891610, Average Loss  0.866954, Time  0.450660
2021-09-10 10:30:00.379773 : Epoch 10, Batch    477, Loss  0.876426, Average Loss  0.866858, Time  0.350322
2021-09-10 10:30:02.164767 : Epoch 10, Batch    478, Loss  0.869542, Average Loss  0.866921, Time  0.369018
2021-09-10 10:30:03.935773 : Epoch 10, Batch    479, Loss  0.881867, Average Loss  0.867132, Time  0.364615
2021-09-10 10:30:05.825804 : Epoch 10, Batch    480, Loss  0.872496, Average Loss  0.867019, Time  0.460370
2021-09-10 10:30:07.698759 : Epoch 10, Batch    481, Loss  0.888660, Average Loss  0.867178, Time  0.438433
2021-09-10 10:30:09.483763 : Epoch 10, Batch    482, Loss  0.862266, Average Loss  0.867194, Time  0.357286
2021-09-10 10:30:11.280768 : Epoch 10, Batch    483, Loss  0.865490, Average Loss  0.867148, Time  0.357579
2021-09-10 10:30:13.145066 : Epoch 10, Batch    484, Loss  0.868809, Average Loss  0.866974, Time  0.420085
2021-09-10 10:30:15.017119 : Epoch 10, Batch    485, Loss  0.857304, Average Loss  0.866908, Time  0.454532
2021-09-10 10:30:16.771778 : Epoch 10, Batch    486, Loss  0.871463, Average Loss  0.867040, Time  0.355778
2021-09-10 10:30:18.554760 : Epoch 10, Batch    487, Loss  0.884573, Average Loss  0.867171, Time  0.364494
2021-09-10 10:30:20.396773 : Epoch 10, Batch    488, Loss  0.897481, Average Loss  0.867353, Time  0.397331
2021-09-10 10:30:22.279766 : Epoch 10, Batch    489, Loss  0.884696, Average Loss  0.867494, Time  0.448758
2021-09-10 10:30:24.059815 : Epoch 10, Batch    490, Loss  0.893819, Average Loss  0.867723, Time  0.345206
2021-09-10 10:30:25.827074 : Epoch 10, Batch    491, Loss  0.874485, Average Loss  0.867903, Time  0.356445
2021-09-10 10:30:27.615975 : Epoch 10, Batch    492, Loss  0.887763, Average Loss  0.867999, Time  0.360660
2021-09-10 10:30:29.492774 : Epoch 10, Batch    493, Loss  0.867698, Average Loss  0.868083, Time  0.454430
2021-09-10 10:30:31.270771 : Epoch 10, Batch    494, Loss  0.850862, Average Loss  0.868072, Time  0.359938
2021-09-10 10:30:33.033761 : Epoch 10, Batch    495, Loss  0.909702, Average Loss  0.868242, Time  0.356045
2021-09-10 10:30:34.848775 : Epoch 10, Batch    496, Loss  0.852888, Average Loss  0.868066, Time  0.371812
2021-09-10 10:30:36.736774 : Epoch 10, Batch    497, Loss  0.855007, Average Loss  0.868100, Time  0.463713
2021-09-10 10:30:38.519930 : Epoch 10, Batch    498, Loss  0.881170, Average Loss  0.868165, Time  0.346986
2021-09-10 10:30:40.301785 : Epoch 10, Batch    499, Loss  0.851469, Average Loss  0.868011, Time  0.356684
2021-09-10 10:30:42.067185 : Epoch 10, Batch    500, Loss  0.874449, Average Loss  0.867966, Time  0.361373
2021-09-10 10:30:43.961221 : Epoch 10, Batch    501, Loss  0.870506, Average Loss  0.867982, Time  0.465315
2021-09-10 10:35:34.393716 : CheckPoint: Validation Loss  0.00060707, Best Loss  0.00056427
2021-09-10 10:35:36.212778 : Epoch 10, Batch    502, Loss  0.888282, Average Loss  0.868057, Time  0.365945
2021-09-10 10:35:38.027777 : Epoch 10, Batch    503, Loss  0.875872, Average Loss  0.868085, Time  0.394835
2021-09-10 10:35:39.892817 : Epoch 10, Batch    504, Loss  0.887626, Average Loss  0.868349, Time  0.460291
2021-09-10 10:35:41.690779 : Epoch 10, Batch    505, Loss  0.909677, Average Loss  0.868579, Time  0.364692
2021-09-10 10:35:43.462800 : Epoch 10, Batch    506, Loss  0.879227, Average Loss  0.868611, Time  0.359657
2021-09-10 10:35:45.268771 : Epoch 10, Batch    507, Loss  0.873087, Average Loss  0.868579, Time  0.386201
2021-09-10 10:35:47.128775 : Epoch 10, Batch    508, Loss  0.847533, Average Loss  0.868383, Time  0.451724
2021-09-10 10:35:48.924776 : Epoch 10, Batch    509, Loss  0.866912, Average Loss  0.868356, Time  0.355529
2021-09-10 10:35:50.731100 : Epoch 10, Batch    510, Loss  0.869039, Average Loss  0.868379, Time  0.365608
2021-09-10 10:35:52.546226 : Epoch 10, Batch    511, Loss  0.880326, Average Loss  0.868488, Time  0.370872
2021-09-10 10:35:54.429769 : Epoch 10, Batch    512, Loss  0.839632, Average Loss  0.868220, Time  0.451610
2021-09-10 10:35:56.227776 : Epoch 10, Batch    513, Loss  0.881252, Average Loss  0.868259, Time  0.362279
2021-09-10 10:35:58.027877 : Epoch 10, Batch    514, Loss  0.885910, Average Loss  0.868443, Time  0.358959
2021-09-10 10:35:59.840777 : Epoch 10, Batch    515, Loss  0.845019, Average Loss  0.868302, Time  0.376170
2021-09-10 10:36:01.722760 : Epoch 10, Batch    516, Loss  0.875821, Average Loss  0.868329, Time  0.451494
2021-09-10 10:36:03.508777 : Epoch 10, Batch    517, Loss  0.854867, Average Loss  0.868386, Time  0.366477
2021-09-10 10:36:05.293932 : Epoch 10, Batch    518, Loss  0.867812, Average Loss  0.868387, Time  0.366127
2021-09-10 10:36:07.089774 : Epoch 10, Batch    519, Loss  0.893132, Average Loss  0.868602, Time  0.374301
2021-09-10 10:36:08.952771 : Epoch 10, Batch    520, Loss  0.877267, Average Loss  0.868727, Time  0.462204
2021-09-10 10:36:10.741862 : Epoch 10, Batch    521, Loss  0.902708, Average Loss  0.868834, Time  0.368429
2021-09-10 10:36:12.517846 : Epoch 10, Batch    522, Loss  0.870809, Average Loss  0.868834, Time  0.359228
2021-09-10 10:36:14.340136 : Epoch 10, Batch    523, Loss  0.860764, Average Loss  0.868710, Time  0.403322
2021-09-10 10:36:16.253764 : Epoch 10, Batch    524, Loss  0.874274, Average Loss  0.868938, Time  0.471725
2021-09-10 10:36:18.020783 : Epoch 10, Batch    525, Loss  0.881413, Average Loss  0.869007, Time  0.341640
2021-09-10 10:36:19.804868 : Epoch 10, Batch    526, Loss  0.869719, Average Loss  0.868936, Time  0.356357
2021-09-10 10:36:21.604108 : Epoch 10, Batch    527, Loss  0.873299, Average Loss  0.869072, Time  0.366623
2021-09-10 10:36:23.495834 : Epoch 10, Batch    528, Loss  0.845192, Average Loss  0.869136, Time  0.460014
2021-09-10 10:36:25.363475 : Epoch 10, Batch    529, Loss  0.883908, Average Loss  0.869189, Time  0.420523
2021-09-10 10:36:27.142771 : Epoch 10, Batch    530, Loss  0.868412, Average Loss  0.869137, Time  0.363282
2021-09-10 10:36:28.927779 : Epoch 10, Batch    531, Loss  0.821372, Average Loss  0.868805, Time  0.362246
2021-09-10 10:36:30.804777 : Epoch 10, Batch    532, Loss  0.893141, Average Loss  0.868896, Time  0.446386
2021-09-10 10:36:32.697772 : Epoch 10, Batch    533, Loss  0.876139, Average Loss  0.868969, Time  0.468776
2021-09-10 10:36:34.521775 : Epoch 10, Batch    534, Loss  0.886161, Average Loss  0.869069, Time  0.350120
2021-09-10 10:36:36.301898 : Epoch 10, Batch    535, Loss  0.869279, Average Loss  0.869124, Time  0.358579
2021-09-10 10:36:38.071880 : Epoch 10, Batch    536, Loss  0.885920, Average Loss  0.869222, Time  0.360460
2021-09-10 10:36:39.954772 : Epoch 10, Batch    537, Loss  0.880533, Average Loss  0.869295, Time  0.464571
2021-09-10 10:36:41.741101 : Epoch 10, Batch    538, Loss  0.866961, Average Loss  0.869347, Time  0.366380
2021-09-10 10:36:43.544764 : Epoch 10, Batch    539, Loss  0.869053, Average Loss  0.869411, Time  0.362495
2021-09-10 10:36:45.354779 : Epoch 10, Batch    540, Loss  0.862547, Average Loss  0.869477, Time  0.362389
2021-09-10 10:36:47.255808 : Epoch 10, Batch    541, Loss  0.909469, Average Loss  0.869686, Time  0.456798
2021-09-10 10:36:49.065128 : Epoch 10, Batch    542, Loss  0.846082, Average Loss  0.869611, Time  0.383960
2021-09-10 10:36:50.861883 : Epoch 10, Batch    543, Loss  0.870065, Average Loss  0.869606, Time  0.358059
2021-09-10 10:36:52.647707 : Epoch 10, Batch    544, Loss  0.867212, Average Loss  0.869577, Time  0.365505
2021-09-10 10:36:54.514785 : Epoch 10, Batch    545, Loss  0.872123, Average Loss  0.869656, Time  0.458958
2021-09-10 10:36:56.423769 : Epoch 10, Batch    546, Loss  0.882233, Average Loss  0.869729, Time  0.456161
2021-09-10 10:36:58.217762 : Epoch 10, Batch    547, Loss  0.850910, Average Loss  0.869758, Time  0.373544
2021-09-10 10:37:00.015772 : Epoch 10, Batch    548, Loss  0.888383, Average Loss  0.869759, Time  0.363515
2021-09-10 10:37:01.822775 : Epoch 10, Batch    549, Loss  0.835569, Average Loss  0.869388, Time  0.402156
2021-09-10 10:37:03.708892 : Epoch 10, Batch    550, Loss  0.867643, Average Loss  0.869325, Time  0.453930
2021-09-10 10:37:05.543074 : Epoch 10, Batch    551, Loss  0.875044, Average Loss  0.869375, Time  0.376437
2021-09-10 10:37:07.342803 : Epoch 10, Batch    552, Loss  0.887043, Average Loss  0.869553, Time  0.357586
2021-09-10 10:37:09.151778 : Epoch 10, Batch    553, Loss  0.867445, Average Loss  0.869481, Time  0.357989
2021-09-10 10:37:11.054780 : Epoch 10, Batch    554, Loss  0.890399, Average Loss  0.869609, Time  0.441643
2021-09-10 10:37:12.957865 : Epoch 10, Batch    555, Loss  0.885291, Average Loss  0.869646, Time  0.452876
2021-09-10 10:37:14.757780 : Epoch 10, Batch    556, Loss  0.836503, Average Loss  0.869628, Time  0.349595
2021-09-10 10:37:16.550774 : Epoch 10, Batch    557, Loss  0.848352, Average Loss  0.869564, Time  0.356106
2021-09-10 10:37:18.408864 : Epoch 10, Batch    558, Loss  0.872543, Average Loss  0.869696, Time  0.355142
2021-09-10 10:37:20.322775 : Epoch 10, Batch    559, Loss  0.848063, Average Loss  0.869849, Time  0.453918
2021-09-10 10:37:22.185856 : Epoch 10, Batch    560, Loss  0.878608, Average Loss  0.869949, Time  0.430196
2021-09-10 10:37:23.994780 : Epoch 10, Batch    561, Loss  0.861571, Average Loss  0.869877, Time  0.359861
2021-09-10 10:37:25.801082 : Epoch 10, Batch    562, Loss  0.877119, Average Loss  0.869783, Time  0.358401
2021-09-10 10:37:27.658082 : Epoch 10, Batch    563, Loss  0.879730, Average Loss  0.869799, Time  0.402862
2021-09-10 10:37:29.567921 : Epoch 10, Batch    564, Loss  0.869512, Average Loss  0.869934, Time  0.451013
2021-09-10 10:37:31.439778 : Epoch 10, Batch    565, Loss  0.900260, Average Loss  0.869913, Time  0.412963
2021-09-10 10:37:33.242820 : Epoch 10, Batch    566, Loss  0.849337, Average Loss  0.869818, Time  0.358007
2021-09-10 10:37:35.055830 : Epoch 10, Batch    567, Loss  0.847321, Average Loss  0.869720, Time  0.357415
2021-09-10 10:37:36.909766 : Epoch 10, Batch    568, Loss  0.887770, Average Loss  0.869979, Time  0.422054
2021-09-10 10:37:38.816768 : Epoch 10, Batch    569, Loss  0.886665, Average Loss  0.870157, Time  0.449213
2021-09-10 10:37:40.608109 : Epoch 10, Batch    570, Loss  0.848490, Average Loss  0.870204, Time  0.365108
2021-09-10 10:37:42.393774 : Epoch 10, Batch    571, Loss  0.855699, Average Loss  0.870239, Time  0.357599
2021-09-10 10:37:44.216922 : Epoch 10, Batch    572, Loss  0.859239, Average Loss  0.870020, Time  0.380678
2021-09-10 10:37:46.099945 : Epoch 10, Batch    573, Loss  0.884349, Average Loss  0.870138, Time  0.456454
2021-09-10 10:37:47.902816 : Epoch 10, Batch    574, Loss  0.850440, Average Loss  0.870105, Time  0.384178
2021-09-10 10:37:49.684774 : Epoch 10, Batch    575, Loss  0.866917, Average Loss  0.870177, Time  0.356893
2021-09-10 10:37:51.485200 : Epoch 10, Batch    576, Loss  0.868029, Average Loss  0.870129, Time  0.361595
2021-09-10 10:37:53.373763 : Epoch 10, Batch    577, Loss  0.846115, Average Loss  0.869981, Time  0.463504
2021-09-10 10:37:55.250318 : Epoch 10, Batch    578, Loss  0.867350, Average Loss  0.870187, Time  0.447010
2021-09-10 10:37:57.031770 : Epoch 10, Batch    579, Loss  0.882243, Average Loss  0.870232, Time  0.359518
2021-09-10 10:37:58.820765 : Epoch 10, Batch    580, Loss  0.836663, Average Loss  0.870190, Time  0.373060
2021-09-10 10:38:00.663767 : Epoch 10, Batch    581, Loss  0.853702, Average Loss  0.870058, Time  0.399642
2021-09-10 10:38:02.537811 : Epoch 10, Batch    582, Loss  0.856205, Average Loss  0.870040, Time  0.452660
2021-09-10 10:38:04.338802 : Epoch 10, Batch    583, Loss  0.874588, Average Loss  0.870053, Time  0.357835
2021-09-10 10:38:06.126767 : Epoch 10, Batch    584, Loss  0.868599, Average Loss  0.870041, Time  0.357080
2021-09-10 10:38:07.918761 : Epoch 10, Batch    585, Loss  0.868839, Average Loss  0.870083, Time  0.361176
2021-09-10 10:38:09.801797 : Epoch 10, Batch    586, Loss  0.858656, Average Loss  0.870260, Time  0.449595
2021-09-10 10:38:11.606105 : Epoch 10, Batch    587, Loss  0.868862, Average Loss  0.870243, Time  0.359311
2021-09-10 10:38:13.399772 : Epoch 10, Batch    588, Loss  0.885662, Average Loss  0.870238, Time  0.362593
2021-09-10 10:38:15.185692 : Epoch 10, Batch    589, Loss  0.878253, Average Loss  0.870264, Time  0.357616
2021-09-10 10:38:17.083937 : Epoch 10, Batch    590, Loss  0.862514, Average Loss  0.870235, Time  0.459046
2021-09-10 10:38:18.957822 : Epoch 10, Batch    591, Loss  0.889727, Average Loss  0.870356, Time  0.449837
2021-09-10 10:38:20.738832 : Epoch 10, Batch    592, Loss  0.858041, Average Loss  0.870443, Time  0.357738
2021-09-10 10:38:22.537159 : Epoch 10, Batch    593, Loss  0.866576, Average Loss  0.870418, Time  0.356420
2021-09-10 10:38:24.369767 : Epoch 10, Batch    594, Loss  0.848368, Average Loss  0.870458, Time  0.411737
2021-09-10 10:38:26.242811 : Epoch 10, Batch    595, Loss  0.840362, Average Loss  0.870221, Time  0.450526
2021-09-10 10:38:28.034067 : Epoch 10, Batch    596, Loss  0.856055, Average Loss  0.870147, Time  0.356684
2021-09-10 10:38:29.836767 : Epoch 10, Batch    597, Loss  0.933251, Average Loss  0.870398, Time  0.357738
2021-09-10 10:38:31.703779 : Epoch 10, Batch    598, Loss  0.851900, Average Loss  0.870402, Time  0.405399
2021-09-10 10:38:33.575556 : Epoch 10, Batch    599, Loss  0.868683, Average Loss  0.870443, Time  0.453691
2021-09-10 10:38:35.413774 : Epoch 10, Batch    600, Loss  0.891527, Average Loss  0.870482, Time  0.369254
2021-09-10 10:38:42.782784 : Epoch 10, Batch    601, Loss  0.904967, Average Loss  0.870723, Time  0.480590
2021-09-10 10:43:33.912721 : CheckPoint: Validation Loss  0.00063011, Best Loss  0.00056427
2021-09-10 10:43:35.744716 : Epoch 10, Batch    602, Loss  0.868009, Average Loss  0.870538, Time  0.407726
2021-09-10 10:43:37.608759 : Epoch 10, Batch    603, Loss  0.870264, Average Loss  0.870457, Time  0.450170
2021-09-10 10:43:39.405829 : Epoch 10, Batch    604, Loss  0.841027, Average Loss  0.870281, Time  0.355035
2021-09-10 10:43:41.201775 : Epoch 10, Batch    605, Loss  0.892605, Average Loss  0.870533, Time  0.358396
2021-09-10 10:43:42.997088 : Epoch 10, Batch    606, Loss  0.871683, Average Loss  0.870535, Time  0.387500
2021-09-10 10:43:44.868476 : Epoch 10, Batch    607, Loss  0.892295, Average Loss  0.870719, Time  0.452047
2021-09-10 10:43:46.655814 : Epoch 10, Batch    608, Loss  0.850931, Average Loss  0.870479, Time  0.362446
2021-09-10 10:43:48.436791 : Epoch 10, Batch    609, Loss  0.871918, Average Loss  0.870537, Time  0.355969
2021-09-10 10:43:50.269061 : Epoch 10, Batch    610, Loss  0.879448, Average Loss  0.870596, Time  0.375683
2021-09-10 10:43:52.173786 : Epoch 10, Batch    611, Loss  0.848979, Average Loss  0.870569, Time  0.453265
2021-09-10 10:43:54.040162 : Epoch 10, Batch    612, Loss  0.854177, Average Loss  0.870445, Time  0.410449
2021-09-10 10:43:55.833905 : Epoch 10, Batch    613, Loss  0.857349, Average Loss  0.870360, Time  0.356475
2021-09-10 10:43:57.608078 : Epoch 10, Batch    614, Loss  0.888674, Average Loss  0.870424, Time  0.356858
2021-09-10 10:43:59.460784 : Epoch 10, Batch    615, Loss  0.855812, Average Loss  0.870520, Time  0.435262
2021-09-10 10:44:01.335860 : Epoch 10, Batch    616, Loss  0.861791, Average Loss  0.870408, Time  0.450226
2021-09-10 10:44:03.117781 : Epoch 10, Batch    617, Loss  0.844843, Average Loss  0.870438, Time  0.357202
2021-09-10 10:44:04.913778 : Epoch 10, Batch    618, Loss  0.850618, Average Loss  0.870217, Time  0.355953
2021-09-10 10:44:06.742777 : Epoch 10, Batch    619, Loss  0.841412, Average Loss  0.870058, Time  0.382130
2021-09-10 10:44:08.634829 : Epoch 10, Batch    620, Loss  0.865103, Average Loss  0.870171, Time  0.450336
2021-09-10 10:44:10.432780 : Epoch 10, Batch    621, Loss  0.892817, Average Loss  0.870167, Time  0.338158
2021-09-10 10:44:12.230178 : Epoch 10, Batch    622, Loss  0.833432, Average Loss  0.870064, Time  0.355563
2021-09-10 10:44:14.019777 : Epoch 10, Batch    623, Loss  0.861003, Average Loss  0.870174, Time  0.355311
2021-09-10 10:44:15.942773 : Epoch 10, Batch    624, Loss  0.857724, Average Loss  0.870153, Time  0.451506
2021-09-10 10:44:17.830775 : Epoch 10, Batch    625, Loss  0.853923, Average Loss  0.870165, Time  0.450184
2021-09-10 10:44:19.637774 : Epoch 10, Batch    626, Loss  0.873859, Average Loss  0.870062, Time  0.373446
2021-09-10 10:44:21.438083 : Epoch 10, Batch    627, Loss  0.846374, Average Loss  0.869830, Time  0.356570
2021-09-10 10:44:23.267774 : Epoch 10, Batch    628, Loss  0.881976, Average Loss  0.870019, Time  0.405175
2021-09-10 10:44:25.169763 : Epoch 10, Batch    629, Loss  0.857658, Average Loss  0.870116, Time  0.469426
2021-09-10 10:44:26.967211 : Epoch 10, Batch    630, Loss  0.843071, Average Loss  0.869996, Time  0.359944
2021-09-10 10:44:28.774772 : Epoch 10, Batch    631, Loss  0.873981, Average Loss  0.870085, Time  0.366555
2021-09-10 10:44:30.565105 : Epoch 10, Batch    632, Loss  0.820727, Average Loss  0.869815, Time  0.360946
2021-09-10 10:44:32.444344 : Epoch 10, Batch    633, Loss  0.851694, Average Loss  0.869695, Time  0.450613
2021-09-10 10:44:34.252210 : Epoch 10, Batch    634, Loss  0.869727, Average Loss  0.869714, Time  0.374269
2021-09-10 10:44:36.048776 : Epoch 10, Batch    635, Loss  0.858937, Average Loss  0.869629, Time  0.358114
2021-09-10 10:44:37.848782 : Epoch 10, Batch    636, Loss  0.819971, Average Loss  0.869482, Time  0.365884
2021-09-10 10:44:39.736765 : Epoch 10, Batch    637, Loss  0.867608, Average Loss  0.869460, Time  0.452182
2021-09-10 10:44:41.520218 : Epoch 10, Batch    638, Loss  0.853777, Average Loss  0.869291, Time  0.368401
2021-09-10 10:44:43.337774 : Epoch 10, Batch    639, Loss  0.891987, Average Loss  0.869348, Time  0.359115
2021-09-10 10:44:45.151764 : Epoch 10, Batch    640, Loss  0.881544, Average Loss  0.869492, Time  0.369199
2021-09-10 10:44:47.038782 : Epoch 10, Batch    641, Loss  0.861248, Average Loss  0.869452, Time  0.453896
2021-09-10 10:44:48.821812 : Epoch 10, Batch    642, Loss  0.812127, Average Loss  0.869118, Time  0.346462
2021-09-10 10:44:50.599086 : Epoch 10, Batch    643, Loss  0.891863, Average Loss  0.869198, Time  0.356040
2021-09-10 10:44:52.401780 : Epoch 10, Batch    644, Loss  0.865272, Average Loss  0.869137, Time  0.355706
2021-09-10 10:44:54.299765 : Epoch 10, Batch    645, Loss  0.879803, Average Loss  0.869400, Time  0.456439
2021-09-10 10:44:56.071787 : Epoch 10, Batch    646, Loss  0.868032, Average Loss  0.869501, Time  0.344428
2021-09-10 10:44:57.849781 : Epoch 10, Batch    647, Loss  0.905323, Average Loss  0.869538, Time  0.365688
2021-09-10 10:44:59.631813 : Epoch 10, Batch    648, Loss  0.909716, Average Loss  0.869756, Time  0.364933
2021-09-10 10:45:01.507762 : Epoch 10, Batch    649, Loss  0.870450, Average Loss  0.869761, Time  0.451845
2021-09-10 10:45:03.324908 : Epoch 10, Batch    650, Loss  0.842237, Average Loss  0.869626, Time  0.385884
2021-09-10 10:45:05.124091 : Epoch 10, Batch    651, Loss  0.882345, Average Loss  0.869625, Time  0.362390
2021-09-10 10:45:06.909784 : Epoch 10, Batch    652, Loss  0.901277, Average Loss  0.869823, Time  0.357069
2021-09-10 10:45:08.829778 : Epoch 10, Batch    653, Loss  0.858304, Average Loss  0.869547, Time  0.443351
2021-09-10 10:45:10.725781 : Epoch 10, Batch    654, Loss  0.836655, Average Loss  0.869315, Time  0.451021
2021-09-10 10:45:12.538812 : Epoch 10, Batch    655, Loss  0.881461, Average Loss  0.869415, Time  0.357494
2021-09-10 10:45:14.351045 : Epoch 10, Batch    656, Loss  0.841654, Average Loss  0.869243, Time  0.358426
2021-09-10 10:45:16.141806 : Epoch 10, Batch    657, Loss  0.862127, Average Loss  0.869190, Time  0.359915
2021-09-10 10:45:18.012763 : Epoch 10, Batch    658, Loss  0.854266, Average Loss  0.869035, Time  0.452550
2021-09-10 10:45:19.787928 : Epoch 10, Batch    659, Loss  0.858640, Average Loss  0.868962, Time  0.357373
2021-09-10 10:45:21.560833 : Epoch 10, Batch    660, Loss  0.889656, Average Loss  0.869165, Time  0.356752
2021-09-10 10:45:23.393760 : Epoch 10, Batch    661, Loss  0.870707, Average Loss  0.869149, Time  0.408238
2021-09-10 10:45:25.293458 : Epoch 10, Batch    662, Loss  0.891364, Average Loss  0.869202, Time  0.462910
2021-09-10 10:45:27.060072 : Epoch 10, Batch    663, Loss  0.860538, Average Loss  0.868914, Time  0.356619
2021-09-10 10:45:28.854776 : Epoch 10, Batch    664, Loss  0.899495, Average Loss  0.869141, Time  0.366632
2021-09-10 10:45:30.635880 : Epoch 10, Batch    665, Loss  0.851502, Average Loss  0.869057, Time  0.370337
2021-09-10 10:45:32.526854 : Epoch 10, Batch    666, Loss  0.897877, Average Loss  0.869265, Time  0.449936
2021-09-10 10:45:34.387154 : Epoch 10, Batch    667, Loss  0.861730, Average Loss  0.869044, Time  0.356778
2021-09-10 10:45:36.194765 : Epoch 10, Batch    668, Loss  0.874433, Average Loss  0.869149, Time  0.358288
2021-09-10 10:45:38.011764 : Epoch 10, Batch    669, Loss  0.874572, Average Loss  0.869149, Time  0.357576
2021-09-10 10:45:39.917780 : Epoch 10, Batch    670, Loss  0.906129, Average Loss  0.869311, Time  0.452694
2021-09-10 10:45:41.819087 : Epoch 10, Batch    671, Loss  0.888162, Average Loss  0.869434, Time  0.442456
2021-09-10 10:45:43.630767 : Epoch 10, Batch    672, Loss  0.885142, Average Loss  0.869489, Time  0.359929
2021-09-10 10:45:45.451782 : Epoch 10, Batch    673, Loss  0.861912, Average Loss  0.869470, Time  0.356347
2021-09-10 10:45:47.298780 : Epoch 10, Batch    674, Loss  0.886037, Average Loss  0.869514, Time  0.391279
2021-09-10 10:45:49.193778 : Epoch 10, Batch    675, Loss  0.857072, Average Loss  0.869547, Time  0.451627
2021-09-10 10:45:50.976260 : Epoch 10, Batch    676, Loss  0.846717, Average Loss  0.869323, Time  0.359685
2021-09-10 10:45:52.771764 : Epoch 10, Batch    677, Loss  0.896190, Average Loss  0.869421, Time  0.376631
2021-09-10 10:45:54.563939 : Epoch 10, Batch    678, Loss  0.886300, Average Loss  0.869505, Time  0.364370
2021-09-10 10:45:56.488778 : Epoch 10, Batch    679, Loss  0.880670, Average Loss  0.869499, Time  0.457317
2021-09-10 10:45:58.385777 : Epoch 10, Batch    680, Loss  0.881706, Average Loss  0.869545, Time  0.433811
2021-09-10 10:46:00.181104 : Epoch 10, Batch    681, Loss  0.885856, Average Loss  0.869531, Time  0.368773
2021-09-10 10:46:01.965769 : Epoch 10, Batch    682, Loss  0.864501, Average Loss  0.869542, Time  0.361090
2021-09-10 10:46:03.816114 : Epoch 10, Batch    683, Loss  0.855007, Average Loss  0.869490, Time  0.416344
2021-09-10 10:46:05.727096 : Epoch 10, Batch    684, Loss  0.888635, Average Loss  0.869589, Time  0.460856
2021-09-10 10:46:07.503760 : Epoch 10, Batch    685, Loss  0.869515, Average Loss  0.869650, Time  0.357136
2021-09-10 10:46:09.304227 : Epoch 10, Batch    686, Loss  0.856577, Average Loss  0.869576, Time  0.364665
2021-09-10 10:46:11.081775 : Epoch 10, Batch    687, Loss  0.868031, Average Loss  0.869493, Time  0.365686
2021-09-10 10:46:12.964093 : Epoch 10, Batch    688, Loss  0.861067, Average Loss  0.869311, Time  0.451852
2021-09-10 10:46:14.721403 : Epoch 10, Batch    689, Loss  0.857560, Average Loss  0.869175, Time  0.358501
2021-09-10 10:46:16.492930 : Epoch 10, Batch    690, Loss  0.862029, Average Loss  0.869016, Time  0.357022
2021-09-10 10:46:18.326066 : Epoch 10, Batch    691, Loss  0.883837, Average Loss  0.869063, Time  0.385052
2021-09-10 10:46:20.211519 : Epoch 10, Batch    692, Loss  0.891510, Average Loss  0.869082, Time  0.449632
2021-09-10 10:46:21.994103 : Epoch 10, Batch    693, Loss  0.856367, Average Loss  0.869025, Time  0.355873
2021-09-10 10:46:23.763138 : Epoch 10, Batch    694, Loss  0.860136, Average Loss  0.869071, Time  0.357241
2021-09-10 10:46:25.591879 : Epoch 10, Batch    695, Loss  0.880073, Average Loss  0.868923, Time  0.382195
2021-09-10 10:46:27.492213 : Epoch 10, Batch    696, Loss  0.853660, Average Loss  0.868927, Time  0.451196
2021-09-10 10:46:29.272776 : Epoch 10, Batch    697, Loss  0.828562, Average Loss  0.868795, Time  0.346770
2021-09-10 10:46:31.063234 : Epoch 10, Batch    698, Loss  0.870644, Average Loss  0.868742, Time  0.360974
2021-09-10 10:46:32.863078 : Epoch 10, Batch    699, Loss  0.871055, Average Loss  0.868840, Time  0.355204
2021-09-10 10:46:34.806279 : Epoch 10, Batch    700, Loss  0.857171, Average Loss  0.868754, Time  0.456233
2021-09-10 10:46:36.699779 : Epoch 10, Batch    701, Loss  0.850222, Average Loss  0.868652, Time  0.446630
2021-09-10 10:51:27.841705 : CheckPoint: Validation Loss  0.00059099, Best Loss  0.00056427
2021-09-10 10:51:29.691775 : Epoch 10, Batch    702, Loss  0.888399, Average Loss  0.868653, Time  0.406685
2021-09-10 10:51:31.568762 : Epoch 10, Batch    703, Loss  0.855627, Average Loss  0.868552, Time  0.447395
2021-09-10 10:51:33.386759 : Epoch 10, Batch    704, Loss  0.846431, Average Loss  0.868346, Time  0.372054
2021-09-10 10:51:35.194818 : Epoch 10, Batch    705, Loss  0.901202, Average Loss  0.868303, Time  0.360295
2021-09-10 10:51:37.004779 : Epoch 10, Batch    706, Loss  0.886612, Average Loss  0.868340, Time  0.375796
2021-09-10 10:51:38.914057 : Epoch 10, Batch    707, Loss  0.880398, Average Loss  0.868377, Time  0.449491
2021-09-10 10:51:40.799764 : Epoch 10, Batch    708, Loss  0.877720, Average Loss  0.868528, Time  0.420600
2021-09-10 10:51:42.613765 : Epoch 10, Batch    709, Loss  0.874808, Average Loss  0.868567, Time  0.359599
2021-09-10 10:51:44.440063 : Epoch 10, Batch    710, Loss  0.851080, Average Loss  0.868478, Time  0.358055
2021-09-10 10:51:46.292776 : Epoch 10, Batch    711, Loss  0.854252, Average Loss  0.868347, Time  0.410833
2021-09-10 10:51:48.196778 : Epoch 10, Batch    712, Loss  0.904342, Average Loss  0.868671, Time  0.451678
2021-09-10 10:51:49.996775 : Epoch 10, Batch    713, Loss  0.869727, Average Loss  0.868613, Time  0.347637
2021-09-10 10:51:51.795772 : Epoch 10, Batch    714, Loss  0.866642, Average Loss  0.868517, Time  0.359245
2021-09-10 10:51:53.599780 : Epoch 10, Batch    715, Loss  0.882921, Average Loss  0.868706, Time  0.356181
2021-09-10 10:51:55.512777 : Epoch 10, Batch    716, Loss  0.861882, Average Loss  0.868637, Time  0.452523
2021-09-10 10:51:57.412778 : Epoch 10, Batch    717, Loss  0.862249, Average Loss  0.868673, Time  0.447077
2021-09-10 10:51:59.226779 : Epoch 10, Batch    718, Loss  0.878482, Average Loss  0.868727, Time  0.358799
2021-09-10 10:52:01.037785 : Epoch 10, Batch    719, Loss  0.859462, Average Loss  0.868558, Time  0.355224
2021-09-10 10:52:02.865816 : Epoch 10, Batch    720, Loss  0.857796, Average Loss  0.868461, Time  0.392998
2021-09-10 10:52:04.753272 : Epoch 10, Batch    721, Loss  0.871138, Average Loss  0.868303, Time  0.462140
2021-09-10 10:52:06.523774 : Epoch 10, Batch    722, Loss  0.847328, Average Loss  0.868186, Time  0.366670
2021-09-10 10:52:08.325099 : Epoch 10, Batch    723, Loss  0.874712, Average Loss  0.868256, Time  0.358479
2021-09-10 10:52:10.135765 : Epoch 10, Batch    724, Loss  0.854199, Average Loss  0.868155, Time  0.376544
2021-09-10 10:52:12.023763 : Epoch 10, Batch    725, Loss  0.844087, Average Loss  0.867969, Time  0.463841
2021-09-10 10:52:13.822906 : Epoch 10, Batch    726, Loss  0.855828, Average Loss  0.867899, Time  0.358712
2021-09-10 10:52:15.610312 : Epoch 10, Batch    727, Loss  0.856934, Average Loss  0.867817, Time  0.362450
2021-09-10 10:52:17.400102 : Epoch 10, Batch    728, Loss  0.864535, Average Loss  0.867914, Time  0.366829
2021-09-10 10:52:19.291781 : Epoch 10, Batch    729, Loss  0.828909, Average Loss  0.867639, Time  0.451643
2021-09-10 10:52:21.102798 : Epoch 10, Batch    730, Loss  0.863528, Average Loss  0.867615, Time  0.348978
2021-09-10 10:52:22.917932 : Epoch 10, Batch    731, Loss  0.899791, Average Loss  0.868007, Time  0.357205
2021-09-10 10:52:24.696207 : Epoch 10, Batch    732, Loss  0.874630, Average Loss  0.867914, Time  0.356333
2021-09-10 10:52:26.612796 : Epoch 10, Batch    733, Loss  0.864022, Average Loss  0.867854, Time  0.459213
2021-09-10 10:52:28.527176 : Epoch 10, Batch    734, Loss  0.854871, Average Loss  0.867697, Time  0.451591
2021-09-10 10:52:30.328078 : Epoch 10, Batch    735, Loss  0.873913, Average Loss  0.867720, Time  0.358790
2021-09-10 10:52:32.152176 : Epoch 10, Batch    736, Loss  0.859021, Average Loss  0.867586, Time  0.356766
2021-09-10 10:52:33.998762 : Epoch 10, Batch    737, Loss  0.863534, Average Loss  0.867501, Time  0.386113
2021-09-10 10:52:35.911070 : Epoch 10, Batch    738, Loss  0.836041, Average Loss  0.867346, Time  0.451147
2021-09-10 10:52:37.741766 : Epoch 10, Batch    739, Loss  0.871524, Average Loss  0.867359, Time  0.372467
2021-09-10 10:52:39.552842 : Epoch 10, Batch    740, Loss  0.852847, Average Loss  0.867310, Time  0.357607
2021-09-10 10:52:41.368779 : Epoch 10, Batch    741, Loss  0.825468, Average Loss  0.866890, Time  0.356279
2021-09-10 10:52:43.269762 : Epoch 10, Batch    742, Loss  0.875917, Average Loss  0.867039, Time  0.444494
2021-09-10 10:52:45.158779 : Epoch 10, Batch    743, Loss  0.886695, Average Loss  0.867122, Time  0.451049
2021-09-10 10:52:46.967779 : Epoch 10, Batch    744, Loss  0.857100, Average Loss  0.867072, Time  0.358573
2021-09-10 10:52:48.772765 : Epoch 10, Batch    745, Loss  0.897895, Average Loss  0.867201, Time  0.358019
2021-09-10 10:52:50.626859 : Epoch 10, Batch    746, Loss  0.860093, Average Loss  0.867090, Time  0.358827
2021-09-10 10:52:52.528773 : Epoch 10, Batch    747, Loss  0.882219, Average Loss  0.867247, Time  0.450991
2021-09-10 10:52:54.395781 : Epoch 10, Batch    748, Loss  0.887642, Average Loss  0.867243, Time  0.413813
2021-09-10 10:52:56.182773 : Epoch 10, Batch    749, Loss  0.899742, Average Loss  0.867564, Time  0.357034
2021-09-10 10:52:57.997776 : Epoch 10, Batch    750, Loss  0.861658, Average Loss  0.867534, Time  0.358206
2021-09-10 10:52:59.871864 : Epoch 10, Batch    751, Loss  0.867250, Average Loss  0.867495, Time  0.432674
2021-09-10 10:53:01.769814 : Epoch 10, Batch    752, Loss  0.873427, Average Loss  0.867427, Time  0.465491
2021-09-10 10:53:03.552780 : Epoch 10, Batch    753, Loss  0.881226, Average Loss  0.867496, Time  0.356381
2021-09-10 10:53:05.362912 : Epoch 10, Batch    754, Loss  0.865086, Average Loss  0.867369, Time  0.359001
2021-09-10 10:53:07.180773 : Epoch 10, Batch    755, Loss  0.852294, Average Loss  0.867204, Time  0.363559
2021-09-10 10:53:09.088772 : Epoch 10, Batch    756, Loss  0.848054, Average Loss  0.867262, Time  0.451772
2021-09-10 10:53:10.944778 : Epoch 10, Batch    757, Loss  0.848315, Average Loss  0.867262, Time  0.408187
2021-09-10 10:53:12.738764 : Epoch 10, Batch    758, Loss  0.847275, Average Loss  0.867135, Time  0.357180
2021-09-10 10:53:14.542764 : Epoch 10, Batch    759, Loss  0.863172, Average Loss  0.867211, Time  0.370698
2021-09-10 10:53:16.390763 : Epoch 10, Batch    760, Loss  0.901752, Average Loss  0.867327, Time  0.432042
2021-09-10 10:53:18.287816 : Epoch 10, Batch    761, Loss  0.885489, Average Loss  0.867446, Time  0.450533
2021-09-10 10:53:20.080305 : Epoch 10, Batch    762, Loss  0.876343, Average Loss  0.867442, Time  0.355494
2021-09-10 10:53:21.860769 : Epoch 10, Batch    763, Loss  0.848532, Average Loss  0.867286, Time  0.357595
2021-09-10 10:53:23.654763 : Epoch 10, Batch    764, Loss  0.877560, Average Loss  0.867327, Time  0.379286
2021-09-10 10:53:25.522149 : Epoch 10, Batch    765, Loss  0.841248, Average Loss  0.867031, Time  0.452427
2021-09-10 10:53:27.302023 : Epoch 10, Batch    766, Loss  0.896550, Average Loss  0.867268, Time  0.355958
2021-09-10 10:53:29.083775 : Epoch 10, Batch    767, Loss  0.857104, Average Loss  0.867316, Time  0.356841
2021-09-10 10:53:30.897321 : Epoch 10, Batch    768, Loss  0.835315, Average Loss  0.867054, Time  0.386636
2021-09-10 10:53:32.791764 : Epoch 10, Batch    769, Loss  0.848817, Average Loss  0.866865, Time  0.451541
2021-09-10 10:53:34.576094 : Epoch 10, Batch    770, Loss  0.858953, Average Loss  0.866917, Time  0.356246
2021-09-10 10:53:36.361811 : Epoch 10, Batch    771, Loss  0.863581, Average Loss  0.866957, Time  0.364842
2021-09-10 10:53:38.185780 : Epoch 10, Batch    772, Loss  0.883086, Average Loss  0.867076, Time  0.390804
2021-09-10 10:53:40.064776 : Epoch 10, Batch    773, Loss  0.860729, Average Loss  0.866958, Time  0.457361
2021-09-10 10:53:41.858761 : Epoch 10, Batch    774, Loss  0.879217, Average Loss  0.867102, Time  0.359629
2021-09-10 10:53:43.660121 : Epoch 10, Batch    775, Loss  0.901728, Average Loss  0.867276, Time  0.358357
2021-09-10 10:53:45.450779 : Epoch 10, Batch    776, Loss  0.849589, Average Loss  0.867184, Time  0.365886
2021-09-10 10:53:47.350778 : Epoch 10, Batch    777, Loss  0.858392, Average Loss  0.867245, Time  0.455183
2021-09-10 10:53:49.126063 : Epoch 10, Batch    778, Loss  0.861592, Average Loss  0.867216, Time  0.349452
2021-09-10 10:53:50.935781 : Epoch 10, Batch    779, Loss  0.866453, Average Loss  0.867137, Time  0.357492
2021-09-10 10:53:52.716812 : Epoch 10, Batch    780, Loss  0.881219, Average Loss  0.867360, Time  0.358170
2021-09-10 10:53:54.606783 : Epoch 10, Batch    781, Loss  0.844570, Average Loss  0.867314, Time  0.454669
2021-09-10 10:53:56.424781 : Epoch 10, Batch    782, Loss  0.842517, Average Loss  0.867246, Time  0.356223
2021-09-10 10:53:58.234776 : Epoch 10, Batch    783, Loss  0.873415, Average Loss  0.867240, Time  0.356989
2021-09-10 10:54:00.049813 : Epoch 10, Batch    784, Loss  0.868198, Average Loss  0.867238, Time  0.356270
2021-09-10 10:54:01.955775 : Epoch 10, Batch    785, Loss  0.867874, Average Loss  0.867233, Time  0.454512
2021-09-10 10:54:03.816081 : Epoch 10, Batch    786, Loss  0.889169, Average Loss  0.867386, Time  0.413332
2021-09-10 10:54:05.602849 : Epoch 10, Batch    787, Loss  0.865117, Average Loss  0.867367, Time  0.356931
2021-09-10 10:54:07.375760 : Epoch 10, Batch    788, Loss  0.861474, Average Loss  0.867246, Time  0.357746
2021-09-10 10:54:09.242836 : Epoch 10, Batch    789, Loss  0.856990, Average Loss  0.867140, Time  0.442957
2021-09-10 10:54:11.109081 : Epoch 10, Batch    790, Loss  0.901419, Average Loss  0.867334, Time  0.446913
2021-09-10 10:54:12.920065 : Epoch 10, Batch    791, Loss  0.863127, Average Loss  0.867201, Time  0.357809
2021-09-10 10:54:14.724062 : Epoch 10, Batch    792, Loss  0.872563, Average Loss  0.867274, Time  0.363883
2021-09-10 10:54:16.546916 : Epoch 10, Batch    793, Loss  0.849086, Average Loss  0.867186, Time  0.381449
2021-09-10 10:54:18.421978 : Epoch 10, Batch    794, Loss  0.867242, Average Loss  0.867281, Time  0.453870
2021-09-10 10:54:20.198773 : Epoch 10, Batch    795, Loss  0.868223, Average Loss  0.867420, Time  0.354742
2021-09-10 10:54:22.012062 : Epoch 10, Batch    796, Loss  0.833406, Average Loss  0.867307, Time  0.357506
2021-09-10 10:54:23.840778 : Epoch 10, Batch    797, Loss  0.857947, Average Loss  0.866930, Time  0.373026
2021-09-10 10:54:25.725101 : Epoch 10, Batch    798, Loss  0.892641, Average Loss  0.867134, Time  0.455117
2021-09-10 10:54:27.509849 : Epoch 10, Batch    799, Loss  0.856960, Average Loss  0.867075, Time  0.344630
2021-09-10 10:54:29.314567 : Epoch 10, Batch    800, Loss  0.829913, Average Loss  0.866767, Time  0.356223
2021-09-10 10:54:31.115933 : Epoch 10, Batch    801, Loss  0.845208, Average Loss  0.866469, Time  0.359823
2021-09-10 10:59:22.695681 : CheckPoint: Validation Loss  0.00059318, Best Loss  0.00056427
2021-09-10 10:59:24.494110 : Epoch 10, Batch    802, Loss  0.853624, Average Loss  0.866397, Time  0.356172
2021-09-10 10:59:26.350229 : Epoch 10, Batch    803, Loss  0.853282, Average Loss  0.866312, Time  0.406661
2021-09-10 10:59:28.226447 : Epoch 10, Batch    804, Loss  0.868698, Average Loss  0.866450, Time  0.456012
2021-09-10 10:59:30.014788 : Epoch 10, Batch    805, Loss  0.889043, Average Loss  0.866432, Time  0.357671
2021-09-10 10:59:31.831873 : Epoch 10, Batch    806, Loss  0.881497, Average Loss  0.866481, Time  0.357051
2021-09-10 10:59:33.655088 : Epoch 10, Batch    807, Loss  0.854909, Average Loss  0.866294, Time  0.382490
2021-09-10 10:59:35.441804 : Epoch 10, Batch    808, Loss  0.862346, Average Loss  0.866351, Time  0.361686
2021-09-10 10:59:37.257079 : Epoch 10, Batch    809, Loss  0.865020, Average Loss  0.866317, Time  0.354702
2021-09-10 10:59:39.114832 : Epoch 10, Batch    810, Loss  0.895001, Average Loss  0.866395, Time  0.400971
2021-09-10 10:59:41.032080 : Epoch 10, Batch    811, Loss  0.854808, Average Loss  0.866424, Time  0.451612
2021-09-10 10:59:42.889657 : Epoch 10, Batch    812, Loss  0.861879, Average Loss  0.866462, Time  0.408422
2021-09-10 10:59:44.699069 : Epoch 10, Batch    813, Loss  0.850247, Average Loss  0.866427, Time  0.356850
2021-09-10 10:59:46.512762 : Epoch 10, Batch    814, Loss  0.866785, Average Loss  0.866317, Time  0.357120
2021-09-10 10:59:48.382075 : Epoch 10, Batch    815, Loss  0.884043, Average Loss  0.866459, Time  0.416935
2021-09-10 10:59:50.269078 : Epoch 10, Batch    816, Loss  0.864722, Average Loss  0.866473, Time  0.452294
2021-09-10 10:59:52.079069 : Epoch 10, Batch    817, Loss  0.875402, Average Loss  0.866626, Time  0.359432
2021-09-10 10:59:53.874769 : Epoch 10, Batch    818, Loss  0.861801, Average Loss  0.866682, Time  0.357879
2021-09-10 10:59:55.669765 : Epoch 10, Batch    819, Loss  0.871706, Average Loss  0.866833, Time  0.369212
2021-09-10 10:59:57.580101 : Epoch 10, Batch    820, Loss  0.842004, Average Loss  0.866718, Time  0.459853
2021-09-10 10:59:59.379109 : Epoch 10, Batch    821, Loss  0.867264, Average Loss  0.866590, Time  0.372432
2021-09-10 11:00:01.153539 : Epoch 10, Batch    822, Loss  0.877232, Average Loss  0.866809, Time  0.362707
2021-09-10 11:00:02.929775 : Epoch 10, Batch    823, Loss  0.898564, Average Loss  0.866997, Time  0.357952
2021-09-10 11:00:04.804760 : Epoch 10, Batch    824, Loss  0.873892, Average Loss  0.867078, Time  0.461831
2021-09-10 11:00:06.688156 : Epoch 10, Batch    825, Loss  0.857000, Average Loss  0.867093, Time  0.461646
2021-09-10 11:00:08.493763 : Epoch 10, Batch    826, Loss  0.842500, Average Loss  0.866936, Time  0.360841
2021-09-10 11:00:10.270778 : Epoch 10, Batch    827, Loss  0.845169, Average Loss  0.866930, Time  0.361994
2021-09-10 11:00:12.114764 : Epoch 10, Batch    828, Loss  0.848749, Average Loss  0.866764, Time  0.409237
2021-09-10 11:00:14.015248 : Epoch 10, Batch    829, Loss  0.884612, Average Loss  0.866899, Time  0.463773
2021-09-10 11:00:15.844105 : Epoch 10, Batch    830, Loss  0.863787, Average Loss  0.867003, Time  0.372704
2021-09-10 11:00:17.630776 : Epoch 10, Batch    831, Loss  0.847881, Average Loss  0.866872, Time  0.355852
2021-09-10 11:00:19.416780 : Epoch 10, Batch    832, Loss  0.874377, Average Loss  0.867140, Time  0.357194
2021-09-10 11:00:21.308780 : Epoch 10, Batch    833, Loss  0.884224, Average Loss  0.867303, Time  0.458610
2021-09-10 11:00:23.176725 : Epoch 10, Batch    834, Loss  0.870590, Average Loss  0.867307, Time  0.448493
2021-09-10 11:00:24.983783 : Epoch 10, Batch    835, Loss  0.844928, Average Loss  0.867237, Time  0.356232
2021-09-10 11:00:26.797779 : Epoch 10, Batch    836, Loss  0.925831, Average Loss  0.867767, Time  0.356222
2021-09-10 11:00:28.631722 : Epoch 10, Batch    837, Loss  0.843990, Average Loss  0.867648, Time  0.381351
2021-09-10 11:00:30.522086 : Epoch 10, Batch    838, Loss  0.898708, Average Loss  0.867873, Time  0.450399
2021-09-10 11:00:32.318764 : Epoch 10, Batch    839, Loss  0.880346, Average Loss  0.867815, Time  0.336914
2021-09-10 11:00:34.132156 : Epoch 10, Batch    840, Loss  0.858413, Average Loss  0.867699, Time  0.355324
2021-09-10 11:00:35.932765 : Epoch 10, Batch    841, Loss  0.867952, Average Loss  0.867733, Time  0.356615
2021-09-10 11:00:37.812870 : Epoch 10, Batch    842, Loss  0.894443, Average Loss  0.868144, Time  0.450238
2021-09-10 11:00:39.646343 : Epoch 10, Batch    843, Loss  0.864029, Average Loss  0.868005, Time  0.382138
2021-09-10 11:00:41.451771 : Epoch 10, Batch    844, Loss  0.841229, Average Loss  0.867885, Time  0.358021
2021-09-10 11:00:43.244100 : Epoch 10, Batch    845, Loss  0.883444, Average Loss  0.867903, Time  0.356402
2021-09-10 11:00:45.130783 : Epoch 10, Batch    846, Loss  0.897473, Average Loss  0.868050, Time  0.456257
2021-09-10 11:00:46.995347 : Epoch 10, Batch    847, Loss  0.898290, Average Loss  0.868015, Time  0.448303
2021-09-10 11:00:48.763767 : Epoch 10, Batch    848, Loss  0.881691, Average Loss  0.867875, Time  0.367346
2021-09-10 11:00:50.561230 : Epoch 10, Batch    849, Loss  0.881223, Average Loss  0.867929, Time  0.362741
2021-09-10 11:00:52.413226 : Epoch 10, Batch    850, Loss  0.832792, Average Loss  0.867882, Time  0.421949
2021-09-10 11:00:54.315035 : Epoch 10, Batch    851, Loss  0.842683, Average Loss  0.867683, Time  0.457190
2021-09-10 11:00:56.112240 : Epoch 10, Batch    852, Loss  0.867539, Average Loss  0.867515, Time  0.360642
2021-09-10 11:00:57.880277 : Epoch 10, Batch    853, Loss  0.850550, Average Loss  0.867476, Time  0.355662
2021-09-10 11:00:59.674110 : Epoch 10, Batch    854, Loss  0.895761, Average Loss  0.867772, Time  0.370523
2021-09-10 11:01:01.542590 : Epoch 10, Batch    855, Loss  0.887005, Average Loss  0.867799, Time  0.447588
2021-09-10 11:01:03.323111 : Epoch 10, Batch    856, Loss  0.850087, Average Loss  0.867841, Time  0.358148
2021-09-10 11:01:05.120774 : Epoch 10, Batch    857, Loss  0.870849, Average Loss  0.867885, Time  0.363401
2021-09-10 11:01:06.911112 : Epoch 10, Batch    858, Loss  0.867345, Average Loss  0.867950, Time  0.380343
2021-09-10 11:01:08.801098 : Epoch 10, Batch    859, Loss  0.856312, Average Loss  0.867939, Time  0.455374
2021-09-10 11:01:10.602774 : Epoch 10, Batch    860, Loss  0.874491, Average Loss  0.867863, Time  0.364200
2021-09-10 11:01:12.387107 : Epoch 10, Batch    861, Loss  0.852443, Average Loss  0.867772, Time  0.357741
2021-09-10 11:01:14.208776 : Epoch 10, Batch    862, Loss  0.878821, Average Loss  0.867709, Time  0.375145
2021-09-10 11:01:16.077013 : Epoch 10, Batch    863, Loss  0.877611, Average Loss  0.867794, Time  0.457809
2021-09-10 11:01:17.864538 : Epoch 10, Batch    864, Loss  0.887192, Average Loss  0.867733, Time  0.359981
2021-09-10 11:01:19.662764 : Epoch 10, Batch    865, Loss  0.835695, Average Loss  0.867654, Time  0.373106
2021-09-10 11:01:21.478928 : Epoch 10, Batch    866, Loss  0.922262, Average Loss  0.867776, Time  0.385995
2021-09-10 11:01:23.357767 : Epoch 10, Batch    867, Loss  0.891738, Average Loss  0.867926, Time  0.448721
2021-09-10 11:01:25.118680 : Epoch 10, Batch    868, Loss  0.872398, Average Loss  0.867916, Time  0.355699
2021-09-10 11:01:26.898773 : Epoch 10, Batch    869, Loss  0.856380, Average Loss  0.867825, Time  0.355700
2021-09-10 11:01:28.720946 : Epoch 10, Batch    870, Loss  0.835123, Average Loss  0.867470, Time  0.404341
2021-09-10 11:01:30.601629 : Epoch 10, Batch    871, Loss  0.859497, Average Loss  0.867326, Time  0.464581
2021-09-10 11:01:32.361782 : Epoch 10, Batch    872, Loss  0.879968, Average Loss  0.867300, Time  0.363357
2021-09-10 11:01:34.118926 : Epoch 10, Batch    873, Loss  0.863785, Average Loss  0.867310, Time  0.359219
2021-09-10 11:01:35.932907 : Epoch 10, Batch    874, Loss  0.863112, Average Loss  0.867195, Time  0.409917
2021-09-10 11:01:37.816779 : Epoch 10, Batch    875, Loss  0.856418, Average Loss  0.867192, Time  0.472699
2021-09-10 11:01:39.601232 : Epoch 10, Batch    876, Loss  0.857660, Average Loss  0.867247, Time  0.363020
2021-09-10 11:01:41.376776 : Epoch 10, Batch    877, Loss  0.854764, Average Loss  0.867039, Time  0.358976
2021-09-10 11:01:43.192227 : Epoch 10, Batch    878, Loss  0.886056, Average Loss  0.867038, Time  0.387392
2021-09-10 11:01:45.089775 : Epoch 10, Batch    879, Loss  0.888702, Average Loss  0.867078, Time  0.460418
2021-09-10 11:01:46.890846 : Epoch 10, Batch    880, Loss  0.881027, Average Loss  0.867075, Time  0.359228
2021-09-10 11:01:48.682772 : Epoch 10, Batch    881, Loss  0.842779, Average Loss  0.866860, Time  0.361856
2021-09-10 11:01:50.479220 : Epoch 10, Batch    882, Loss  0.865126, Average Loss  0.866863, Time  0.376572
2021-09-10 11:01:52.364230 : Epoch 10, Batch    883, Loss  0.843239, Average Loss  0.866804, Time  0.469165
2021-09-10 11:01:54.158802 : Epoch 10, Batch    884, Loss  0.844885, Average Loss  0.866585, Time  0.364579
2021-09-10 11:01:55.944131 : Epoch 10, Batch    885, Loss  0.842166, Average Loss  0.866448, Time  0.364710
2021-09-10 11:01:57.743854 : Epoch 10, Batch    886, Loss  0.848607, Average Loss  0.866408, Time  0.379513
2021-09-10 11:01:59.617754 : Epoch 10, Batch    887, Loss  0.905531, Average Loss  0.866596, Time  0.454470
2021-09-10 11:02:01.383410 : Epoch 10, Batch    888, Loss  0.857181, Average Loss  0.866577, Time  0.358200
2021-09-10 11:02:03.149223 : Epoch 10, Batch    889, Loss  0.856716, Average Loss  0.866572, Time  0.356820
2021-09-10 11:02:04.967102 : Epoch 10, Batch    890, Loss  0.885754, Average Loss  0.866691, Time  0.391483
2021-09-10 11:02:06.862098 : Epoch 10, Batch    891, Loss  0.862252, Average Loss  0.866583, Time  0.453932
2021-09-10 11:02:08.643131 : Epoch 10, Batch    892, Loss  0.848785, Average Loss  0.866369, Time  0.378257
2021-09-10 11:02:10.426294 : Epoch 10, Batch    893, Loss  0.863768, Average Loss  0.866406, Time  0.357078
2021-09-10 11:02:12.250221 : Epoch 10, Batch    894, Loss  0.865481, Average Loss  0.866433, Time  0.407599
2021-09-10 11:02:14.142763 : Epoch 10, Batch    895, Loss  0.854515, Average Loss  0.866305, Time  0.452915
2021-09-10 11:02:15.910291 : Epoch 10, Batch    896, Loss  0.838099, Average Loss  0.866228, Time  0.336284
2021-09-10 11:02:17.709775 : Epoch 10, Batch    897, Loss  0.868125, Average Loss  0.866425, Time  0.367119
2021-09-10 11:02:19.509773 : Epoch 10, Batch    898, Loss  0.869115, Average Loss  0.866418, Time  0.376510
2021-09-10 11:02:21.408774 : Epoch 10, Batch    899, Loss  0.830759, Average Loss  0.866216, Time  0.457541
2021-09-10 11:02:23.197763 : Epoch 10, Batch    900, Loss  0.866543, Average Loss  0.866263, Time  0.343230
2021-09-10 11:02:24.968395 : Epoch 10, Batch    901, Loss  0.874930, Average Loss  0.866387, Time  0.363295
2021-09-10 11:07:16.067715 : CheckPoint: Validation Loss  0.00060590, Best Loss  0.00056427
2021-09-10 11:07:17.967765 : Epoch 10, Batch    902, Loss  0.888344, Average Loss  0.866386, Time  0.440318
2021-09-10 11:07:19.768767 : Epoch 10, Batch    903, Loss  0.840577, Average Loss  0.866311, Time  0.371866
2021-09-10 11:07:21.573083 : Epoch 10, Batch    904, Loss  0.879918, Average Loss  0.866479, Time  0.358994
2021-09-10 11:07:23.405770 : Epoch 10, Batch    905, Loss  0.861091, Average Loss  0.866278, Time  0.408945
2021-09-10 11:07:25.303904 : Epoch 10, Batch    906, Loss  0.858055, Average Loss  0.866135, Time  0.465829
2021-09-10 11:07:27.117792 : Epoch 10, Batch    907, Loss  0.900570, Average Loss  0.866236, Time  0.372885
2021-09-10 11:07:28.883091 : Epoch 10, Batch    908, Loss  0.901709, Average Loss  0.866356, Time  0.357162
2021-09-10 11:07:30.656856 : Epoch 10, Batch    909, Loss  0.894653, Average Loss  0.866455, Time  0.357391
2021-09-10 11:07:32.542930 : Epoch 10, Batch    910, Loss  0.881740, Average Loss  0.866609, Time  0.454875
2021-09-10 11:07:34.408352 : Epoch 10, Batch    911, Loss  0.872335, Average Loss  0.866699, Time  0.447834
2021-09-10 11:07:36.178599 : Epoch 10, Batch    912, Loss  0.875733, Average Loss  0.866556, Time  0.358787
2021-09-10 11:07:37.966359 : Epoch 10, Batch    913, Loss  0.890151, Average Loss  0.866658, Time  0.368444
2021-09-10 11:07:39.810228 : Epoch 10, Batch    914, Loss  0.857930, Average Loss  0.866614, Time  0.424510
2021-09-10 11:07:41.703236 : Epoch 10, Batch    915, Loss  0.876383, Average Loss  0.866582, Time  0.457380
2021-09-10 11:07:43.482110 : Epoch 10, Batch    916, Loss  0.857492, Average Loss  0.866560, Time  0.357277
2021-09-10 11:07:45.325229 : Epoch 10, Batch    917, Loss  0.891551, Average Loss  0.866706, Time  0.363196
2021-09-10 11:07:47.116762 : Epoch 10, Batch    918, Loss  0.856216, Average Loss  0.866595, Time  0.363336
2021-09-10 11:07:49.007800 : Epoch 10, Batch    919, Loss  0.891338, Average Loss  0.866754, Time  0.456539
2021-09-10 11:07:50.801109 : Epoch 10, Batch    920, Loss  0.883245, Average Loss  0.866882, Time  0.354121
2021-09-10 11:07:52.589950 : Epoch 10, Batch    921, Loss  0.860793, Average Loss  0.866830, Time  0.362827
2021-09-10 11:07:54.386106 : Epoch 10, Batch    922, Loss  0.870313, Average Loss  0.866945, Time  0.358140
2021-09-10 11:07:56.263232 : Epoch 10, Batch    923, Loss  0.851428, Average Loss  0.866828, Time  0.462989
2021-09-10 11:07:58.054825 : Epoch 10, Batch    924, Loss  0.868594, Average Loss  0.866900, Time  0.358601
2021-09-10 11:07:59.849103 : Epoch 10, Batch    925, Loss  0.877330, Average Loss  0.867067, Time  0.360029
2021-09-10 11:08:01.668011 : Epoch 10, Batch    926, Loss  0.878237, Average Loss  0.867179, Time  0.402031
2021-09-10 11:08:03.545538 : Epoch 10, Batch    927, Loss  0.888584, Average Loss  0.867337, Time  0.454015
2021-09-10 11:08:05.320764 : Epoch 10, Batch    928, Loss  0.861829, Average Loss  0.867323, Time  0.366305
2021-09-10 11:08:07.095772 : Epoch 10, Batch    929, Loss  0.893002, Average Loss  0.867644, Time  0.359816
2021-09-10 11:08:08.915784 : Epoch 10, Batch    930, Loss  0.886491, Average Loss  0.867759, Time  0.393986
2021-09-10 11:08:10.780817 : Epoch 10, Batch    931, Loss  0.869864, Average Loss  0.867609, Time  0.457903
2021-09-10 11:08:12.574230 : Epoch 10, Batch    932, Loss  0.882444, Average Loss  0.867648, Time  0.356173
2021-09-10 11:08:14.359829 : Epoch 10, Batch    933, Loss  0.861223, Average Loss  0.867634, Time  0.362070
2021-09-10 11:08:16.220235 : Epoch 10, Batch    934, Loss  0.858217, Average Loss  0.867651, Time  0.378425
2021-09-10 11:08:18.136101 : Epoch 10, Batch    935, Loss  0.875249, Average Loss  0.867658, Time  0.461790
2021-09-10 11:08:19.950865 : Epoch 10, Batch    936, Loss  0.871888, Average Loss  0.867722, Time  0.416537
2021-09-10 11:08:21.738140 : Epoch 10, Batch    937, Loss  0.882719, Average Loss  0.867818, Time  0.357616
2021-09-10 11:08:23.520305 : Epoch 10, Batch    938, Loss  0.858778, Average Loss  0.867931, Time  0.363077
2021-09-10 11:08:25.370766 : Epoch 10, Batch    939, Loss  0.847598, Average Loss  0.867812, Time  0.442713
2021-09-10 11:08:27.229416 : Epoch 10, Batch    940, Loss  0.846028, Average Loss  0.867778, Time  0.458990
2021-09-10 11:08:28.986216 : Epoch 10, Batch    941, Loss  0.840951, Average Loss  0.867855, Time  0.358820
2021-09-10 11:08:30.771277 : Epoch 10, Batch    942, Loss  0.879415, Average Loss  0.867873, Time  0.368396
2021-09-10 11:08:32.611825 : Epoch 10, Batch    943, Loss  0.869989, Average Loss  0.867789, Time  0.412625
2021-09-10 11:08:34.481348 : Epoch 10, Batch    944, Loss  0.877950, Average Loss  0.867893, Time  0.452322
2021-09-10 11:08:36.274627 : Epoch 10, Batch    945, Loss  0.872041, Average Loss  0.867764, Time  0.367855
2021-09-10 11:08:38.071581 : Epoch 10, Batch    946, Loss  0.866945, Average Loss  0.867798, Time  0.373450
2021-09-10 11:08:39.943091 : Epoch 10, Batch    947, Loss  0.860486, Average Loss  0.867690, Time  0.444197
2021-09-10 11:08:41.848088 : Epoch 10, Batch    948, Loss  0.865175, Average Loss  0.867577, Time  0.451453
2021-09-10 11:08:43.648217 : Epoch 10, Batch    949, Loss  0.843821, Average Loss  0.867298, Time  0.364476
2021-09-10 11:08:45.432802 : Epoch 10, Batch    950, Loss  0.871234, Average Loss  0.867346, Time  0.363859
2021-09-10 11:08:47.228126 : Epoch 10, Batch    951, Loss  0.890252, Average Loss  0.867461, Time  0.373324
2021-09-10 11:08:49.095279 : Epoch 10, Batch    952, Loss  0.858548, Average Loss  0.867386, Time  0.459531
2021-09-10 11:08:50.878931 : Epoch 10, Batch    953, Loss  0.862930, Average Loss  0.867295, Time  0.355873
2021-09-10 11:08:52.669234 : Epoch 10, Batch    954, Loss  0.843035, Average Loss  0.867184, Time  0.357745
2021-09-10 11:08:54.493773 : Epoch 10, Batch    955, Loss  0.859951, Average Loss  0.867223, Time  0.384534
2021-09-10 11:08:56.389220 : Epoch 10, Batch    956, Loss  0.871991, Average Loss  0.867342, Time  0.460157
2021-09-10 11:08:58.245952 : Epoch 10, Batch    957, Loss  0.881317, Average Loss  0.867507, Time  0.408091
2021-09-10 11:09:00.020243 : Epoch 10, Batch    958, Loss  0.861062, Average Loss  0.867576, Time  0.357151
2021-09-10 11:09:01.796684 : Epoch 10, Batch    959, Loss  0.886986, Average Loss  0.867695, Time  0.363170
2021-09-10 11:09:03.664796 : Epoch 10, Batch    960, Loss  0.850070, Average Loss  0.867437, Time  0.446639
2021-09-10 11:09:05.539237 : Epoch 10, Batch    961, Loss  0.877391, Average Loss  0.867397, Time  0.455633
2021-09-10 11:09:07.296284 : Epoch 10, Batch    962, Loss  0.876994, Average Loss  0.867400, Time  0.357096
2021-09-10 11:09:09.080104 : Epoch 10, Batch    963, Loss  0.879501, Average Loss  0.867555, Time  0.369678
2021-09-10 11:09:10.910118 : Epoch 10, Batch    964, Loss  0.909749, Average Loss  0.867716, Time  0.400994
2021-09-10 11:09:12.786772 : Epoch 10, Batch    965, Loss  0.894903, Average Loss  0.867984, Time  0.456023
2021-09-10 11:09:14.599298 : Epoch 10, Batch    966, Loss  0.878478, Average Loss  0.867894, Time  0.349129
2021-09-10 11:09:16.401769 : Epoch 10, Batch    967, Loss  0.883886, Average Loss  0.868027, Time  0.357973
2021-09-10 11:09:18.188489 : Epoch 10, Batch    968, Loss  0.868928, Average Loss  0.868196, Time  0.359040
2021-09-10 11:09:20.062898 : Epoch 10, Batch    969, Loss  0.881614, Average Loss  0.868359, Time  0.458553
2021-09-10 11:09:21.867837 : Epoch 10, Batch    970, Loss  0.894865, Average Loss  0.868539, Time  0.364549
2021-09-10 11:09:23.654812 : Epoch 10, Batch    971, Loss  0.901915, Average Loss  0.868731, Time  0.358364
2021-09-10 11:09:25.447898 : Epoch 10, Batch    972, Loss  0.850950, Average Loss  0.868570, Time  0.372690
2021-09-10 11:09:27.352904 : Epoch 10, Batch    973, Loss  0.839395, Average Loss  0.868463, Time  0.461683
2021-09-10 11:09:29.125477 : Epoch 10, Batch    974, Loss  0.845927, Average Loss  0.868297, Time  0.354497
2021-09-10 11:09:30.900768 : Epoch 10, Batch    975, Loss  0.868754, Average Loss  0.868132, Time  0.363934
2021-09-10 11:09:32.689231 : Epoch 10, Batch    976, Loss  0.869994, Average Loss  0.868234, Time  0.364105
2021-09-10 11:09:34.586903 : Epoch 10, Batch    977, Loss  0.881603, Average Loss  0.868350, Time  0.458512
2021-09-10 11:09:36.442241 : Epoch 10, Batch    978, Loss  0.890417, Average Loss  0.868494, Time  0.405705
2021-09-10 11:09:38.241774 : Epoch 10, Batch    979, Loss  0.891200, Average Loss  0.868618, Time  0.356732
2021-09-10 11:09:40.028931 : Epoch 10, Batch    980, Loss  0.877950, Average Loss  0.868602, Time  0.356172
2021-09-10 11:09:41.895765 : Epoch 10, Batch    981, Loss  0.870136, Average Loss  0.868729, Time  0.439678
2021-09-10 11:09:43.763864 : Epoch 10, Batch    982, Loss  0.874367, Average Loss  0.868889, Time  0.457429
2021-09-10 11:09:45.550763 : Epoch 10, Batch    983, Loss  0.895630, Average Loss  0.869000, Time  0.364994
2021-09-10 11:09:47.335907 : Epoch 10, Batch    984, Loss  0.851761, Average Loss  0.868918, Time  0.358093
2021-09-10 11:09:49.137870 : Epoch 10, Batch    985, Loss  0.904943, Average Loss  0.869103, Time  0.384969
2021-09-10 11:09:51.001827 : Epoch 10, Batch    986, Loss  0.854344, Average Loss  0.868929, Time  0.449766
2021-09-10 11:09:52.787947 : Epoch 10, Batch    987, Loss  0.874561, Average Loss  0.868976, Time  0.364134
2021-09-10 11:09:54.548916 : Epoch 10, Batch    988, Loss  0.890648, Average Loss  0.869122, Time  0.358580
2021-09-10 11:09:56.353243 : Epoch 10, Batch    989, Loss  0.882093, Average Loss  0.869247, Time  0.390570
2021-09-10 11:09:58.233549 : Epoch 10, Batch    990, Loss  0.869687, Average Loss  0.869089, Time  0.455775
2021-09-10 11:10:00.008427 : Epoch 10, Batch    991, Loss  0.890322, Average Loss  0.869225, Time  0.374530
2021-09-10 11:10:01.781774 : Epoch 10, Batch    992, Loss  0.879300, Average Loss  0.869258, Time  0.376131
2021-09-10 11:10:03.598108 : Epoch 10, Batch    993, Loss  0.870551, Average Loss  0.869366, Time  0.388926
2021-09-10 11:10:05.483229 : Epoch 10, Batch    994, Loss  0.865131, Average Loss  0.869355, Time  0.454655
2021-09-10 11:10:07.262774 : Epoch 10, Batch    995, Loss  0.876126, Average Loss  0.869395, Time  0.357712
2021-09-10 11:10:09.057102 : Epoch 10, Batch    996, Loss  0.876189, Average Loss  0.869609, Time  0.363658
2021-09-10 11:10:10.864823 : Epoch 10, Batch    997, Loss  0.868956, Average Loss  0.869664, Time  0.374592
2021-09-10 11:10:12.746107 : Epoch 10, Batch    998, Loss  0.882666, Average Loss  0.869614, Time  0.453446
2021-09-10 11:10:14.505776 : Epoch 10, Batch    999, Loss  0.835661, Average Loss  0.869507, Time  0.339608
2021-09-10 11:10:16.298114 : Epoch 10, Batch   1000, Loss  0.860757, Average Loss  0.869662, Time  0.359227
2021-09-10 11:10:18.084289 : Epoch 10, Batch   1001, Loss  0.866674, Average Loss  0.869769, Time  0.368914
2021-09-10 11:15:08.602710 : CheckPoint: Validation Loss  0.00061418, Best Loss  0.00056427
2021-09-10 11:15:10.456788 : Epoch 10, Batch   1002, Loss  0.872752, Average Loss  0.869864, Time  0.410568
2021-09-10 11:15:12.255763 : Epoch 10, Batch   1003, Loss  0.890413, Average Loss  0.870050, Time  0.359739
2021-09-10 11:15:14.043811 : Epoch 10, Batch   1004, Loss  0.866635, Average Loss  0.870040, Time  0.357941
2021-09-10 11:15:15.893763 : Epoch 10, Batch   1005, Loss  0.850639, Average Loss  0.869848, Time  0.426410
2021-09-10 11:15:17.775817 : Epoch 10, Batch   1006, Loss  0.879438, Average Loss  0.869838, Time  0.459129
2021-09-10 11:15:19.560774 : Epoch 10, Batch   1007, Loss  0.859281, Average Loss  0.869859, Time  0.362870
2021-09-10 11:15:21.333875 : Epoch 10, Batch   1008, Loss  0.869631, Average Loss  0.869896, Time  0.359505
2021-09-10 11:15:23.133869 : Epoch 10, Batch   1009, Loss  0.831735, Average Loss  0.869729, Time  0.387786
2021-09-10 11:15:25.064773 : Epoch 10, Batch   1010, Loss  0.835299, Average Loss  0.869431, Time  0.458337
2021-09-10 11:15:26.861248 : Epoch 10, Batch   1011, Loss  0.828680, Average Loss  0.869300, Time  0.369584
2021-09-10 11:15:28.642110 : Epoch 10, Batch   1012, Loss  0.875196, Average Loss  0.869367, Time  0.356442
2021-09-10 11:15:30.433108 : Epoch 10, Batch   1013, Loss  0.853823, Average Loss  0.869385, Time  0.357135
2021-09-10 11:15:32.309105 : Epoch 10, Batch   1014, Loss  0.877031, Average Loss  0.869436, Time  0.465818
2021-09-10 11:15:34.166775 : Epoch 10, Batch   1015, Loss  0.876958, Average Loss  0.869401, Time  0.458916
2021-09-10 11:15:35.976675 : Epoch 10, Batch   1016, Loss  0.849996, Average Loss  0.869327, Time  0.370741
2021-09-10 11:15:37.755231 : Epoch 10, Batch   1017, Loss  0.857812, Average Loss  0.869239, Time  0.356930
2021-09-10 11:15:39.589201 : Epoch 10, Batch   1018, Loss  0.852318, Average Loss  0.869192, Time  0.410697
2021-09-10 11:15:41.477093 : Epoch 10, Batch   1019, Loss  0.879241, Average Loss  0.869229, Time  0.448304
2021-09-10 11:15:43.265804 : Epoch 10, Batch   1020, Loss  0.874245, Average Loss  0.869390, Time  0.360151
2021-09-10 11:15:45.044775 : Epoch 10, Batch   1021, Loss  0.871346, Average Loss  0.869411, Time  0.355608
2021-09-10 11:15:46.858909 : Epoch 10, Batch   1022, Loss  0.867939, Average Loss  0.869364, Time  0.382619
2021-09-10 11:15:48.737765 : Epoch 10, Batch   1023, Loss  0.874749, Average Loss  0.869245, Time  0.451681
2021-09-10 11:15:50.514296 : Epoch 10, Batch   1024, Loss  0.851108, Average Loss  0.869131, Time  0.363075
2021-09-10 11:15:52.296775 : Epoch 10, Batch   1025, Loss  0.867311, Average Loss  0.869183, Time  0.355797
2021-09-10 11:15:54.111532 : Epoch 10, Batch   1026, Loss  0.851111, Average Loss  0.869226, Time  0.390281
2021-09-10 11:15:55.989234 : Epoch 10, Batch   1027, Loss  0.886963, Average Loss  0.869435, Time  0.466072
2021-09-10 11:15:57.747072 : Epoch 10, Batch   1028, Loss  0.858664, Average Loss  0.869485, Time  0.359463
2021-09-10 11:15:59.538261 : Epoch 10, Batch   1029, Loss  0.886858, Average Loss  0.869496, Time  0.355242
2021-09-10 11:16:01.343775 : Epoch 10, Batch   1030, Loss  0.885201, Average Loss  0.869603, Time  0.383382
2021-09-10 11:16:03.212783 : Epoch 10, Batch   1031, Loss  0.867152, Average Loss  0.869699, Time  0.454737
2021-09-10 11:16:04.981771 : Epoch 10, Batch   1032, Loss  0.873819, Average Loss  0.869696, Time  0.359366
2021-09-10 11:16:06.755192 : Epoch 10, Batch   1033, Loss  0.856758, Average Loss  0.869559, Time  0.356677
2021-09-10 11:16:08.558813 : Epoch 10, Batch   1034, Loss  0.871595, Average Loss  0.869564, Time  0.390150
2021-09-10 11:16:10.452697 : Epoch 10, Batch   1035, Loss  0.867250, Average Loss  0.869676, Time  0.457639
2021-09-10 11:16:12.222970 : Epoch 10, Batch   1036, Loss  0.872561, Average Loss  0.869409, Time  0.360008
2021-09-10 11:16:14.036776 : Epoch 10, Batch   1037, Loss  0.842821, Average Loss  0.869403, Time  0.363358
2021-09-10 11:16:15.841268 : Epoch 10, Batch   1038, Loss  0.875412, Average Loss  0.869287, Time  0.374047
2021-09-10 11:16:17.707792 : Epoch 10, Batch   1039, Loss  0.861780, Average Loss  0.869194, Time  0.454479
2021-09-10 11:16:19.492048 : Epoch 10, Batch   1040, Loss  0.899546, Average Loss  0.869400, Time  0.357135
2021-09-10 11:16:21.273185 : Epoch 10, Batch   1041, Loss  0.842419, Average Loss  0.869272, Time  0.365509
2021-09-10 11:16:23.067850 : Epoch 10, Batch   1042, Loss  0.860821, Average Loss  0.869104, Time  0.380929
2021-09-10 11:16:24.988777 : Epoch 10, Batch   1043, Loss  0.857826, Average Loss  0.869073, Time  0.454277
2021-09-10 11:16:26.737461 : Epoch 10, Batch   1044, Loss  0.852900, Average Loss  0.869131, Time  0.349592
2021-09-10 11:16:28.494250 : Epoch 10, Batch   1045, Loss  0.868584, Average Loss  0.869057, Time  0.356868
2021-09-10 11:16:30.263685 : Epoch 10, Batch   1046, Loss  0.890257, Average Loss  0.869021, Time  0.375604
2021-09-10 11:16:32.118781 : Epoch 10, Batch   1047, Loss  0.890425, Average Loss  0.868982, Time  0.458871
2021-09-10 11:16:33.865779 : Epoch 10, Batch   1048, Loss  0.894261, Average Loss  0.869045, Time  0.359028
2021-09-10 11:16:35.636044 : Epoch 10, Batch   1049, Loss  0.884882, Average Loss  0.869063, Time  0.358122
2021-09-10 11:16:37.464808 : Epoch 10, Batch   1050, Loss  0.860083, Average Loss  0.869199, Time  0.404826
2021-09-10 11:16:39.320790 : Epoch 10, Batch   1051, Loss  0.877196, Average Loss  0.869372, Time  0.459805
2021-09-10 11:16:41.093931 : Epoch 10, Batch   1052, Loss  0.879681, Average Loss  0.869433, Time  0.360263
2021-09-10 11:16:42.900108 : Epoch 10, Batch   1053, Loss  0.866817, Average Loss  0.869514, Time  0.363011
2021-09-10 11:16:44.718888 : Epoch 10, Batch   1054, Loss  0.863267, Average Loss  0.869351, Time  0.381276
2021-09-10 11:16:46.607954 : Epoch 10, Batch   1055, Loss  0.868930, Average Loss  0.869261, Time  0.461186
2021-09-10 11:16:48.384855 : Epoch 10, Batch   1056, Loss  0.851015, Average Loss  0.869266, Time  0.337234
2021-09-10 11:16:50.167106 : Epoch 10, Batch   1057, Loss  0.847037, Average Loss  0.869147, Time  0.363760
2021-09-10 11:16:51.940102 : Epoch 10, Batch   1058, Loss  0.865332, Average Loss  0.869137, Time  0.365551
2021-09-10 11:16:53.791762 : Epoch 10, Batch   1059, Loss  0.847974, Average Loss  0.869095, Time  0.451807
2021-09-10 11:16:55.607110 : Epoch 10, Batch   1060, Loss  0.877509, Average Loss  0.869110, Time  0.359335
2021-09-10 11:16:57.424773 : Epoch 10, Batch   1061, Loss  0.870559, Average Loss  0.869201, Time  0.371140
2021-09-10 11:16:59.214790 : Epoch 10, Batch   1062, Loss  0.860448, Average Loss  0.869109, Time  0.357507
2021-09-10 11:17:01.077777 : Epoch 10, Batch   1063, Loss  0.867003, Average Loss  0.869056, Time  0.462194
2021-09-10 11:17:02.834867 : Epoch 10, Batch   1064, Loss  0.865092, Average Loss  0.868945, Time  0.355573
2021-09-10 11:17:04.595235 : Epoch 10, Batch   1065, Loss  0.871425, Average Loss  0.869124, Time  0.355559
2021-09-10 11:17:06.389663 : Epoch 10, Batch   1066, Loss  0.843431, Average Loss  0.868730, Time  0.404705
2021-09-10 11:17:08.249883 : Epoch 10, Batch   1067, Loss  0.857905, Average Loss  0.868560, Time  0.451825
2021-09-10 11:17:10.040844 : Epoch 10, Batch   1068, Loss  0.867382, Average Loss  0.868535, Time  0.357780
2021-09-10 11:17:11.793967 : Epoch 10, Batch   1069, Loss  0.874490, Average Loss  0.868626, Time  0.359380
2021-09-10 11:17:13.591778 : Epoch 10, Batch   1070, Loss  0.873170, Average Loss  0.868816, Time  0.392537
2021-09-10 11:17:15.468825 : Epoch 10, Batch   1071, Loss  0.871127, Average Loss  0.868874, Time  0.452816
2021-09-10 11:17:17.271823 : Epoch 10, Batch   1072, Loss  0.899486, Average Loss  0.868972, Time  0.362679
2021-09-10 11:17:19.075774 : Epoch 10, Batch   1073, Loss  0.859750, Average Loss  0.868952, Time  0.360453
2021-09-10 11:17:20.875789 : Epoch 10, Batch   1074, Loss  0.853511, Average Loss  0.868904, Time  0.376186
2021-09-10 11:17:22.768776 : Epoch 10, Batch   1075, Loss  0.871556, Average Loss  0.868979, Time  0.460003
2021-09-10 11:17:24.593932 : Epoch 10, Batch   1076, Loss  0.854702, Average Loss  0.868965, Time  0.407207
2021-09-10 11:17:26.377839 : Epoch 10, Batch   1077, Loss  0.847879, Average Loss  0.868930, Time  0.357308
2021-09-10 11:17:28.212626 : Epoch 10, Batch   1078, Loss  0.876671, Average Loss  0.868883, Time  0.418856
2021-09-10 11:17:30.132818 : Epoch 10, Batch   1079, Loss  0.887365, Average Loss  0.868877, Time  0.460067
2021-09-10 11:17:31.905985 : Epoch 10, Batch   1080, Loss  0.884276, Average Loss  0.868893, Time  0.359277
2021-09-10 11:17:33.702677 : Epoch 10, Batch   1081, Loss  0.864465, Average Loss  0.869001, Time  0.364728
2021-09-10 11:17:35.496780 : Epoch 10, Batch   1082, Loss  0.866052, Average Loss  0.869006, Time  0.373471
2021-09-10 11:17:37.362881 : Epoch 10, Batch   1083, Loss  0.881477, Average Loss  0.869197, Time  0.455294
2021-09-10 11:17:39.163775 : Epoch 10, Batch   1084, Loss  0.859138, Average Loss  0.869268, Time  0.373878
2021-09-10 11:17:40.955231 : Epoch 10, Batch   1085, Loss  0.851074, Average Loss  0.869313, Time  0.361781
2021-09-10 11:17:42.762102 : Epoch 10, Batch   1086, Loss  0.846550, Average Loss  0.869303, Time  0.365196
2021-09-10 11:17:44.621978 : Epoch 10, Batch   1087, Loss  0.866380, Average Loss  0.869107, Time  0.453512
2021-09-10 11:17:46.402777 : Epoch 10, Batch   1088, Loss  0.871360, Average Loss  0.869178, Time  0.362140
2021-09-10 11:17:48.175856 : Epoch 10, Batch   1089, Loss  0.862013, Average Loss  0.869204, Time  0.357483
2021-09-10 11:17:49.993765 : Epoch 10, Batch   1090, Loss  0.895711, Average Loss  0.869254, Time  0.383315
2021-09-10 11:17:51.857905 : Epoch 10, Batch   1091, Loss  0.862110, Average Loss  0.869253, Time  0.457988
2021-09-10 11:17:53.628509 : Epoch 10, Batch   1092, Loss  0.870195, Average Loss  0.869360, Time  0.358692
2021-09-10 11:17:55.393775 : Epoch 10, Batch   1093, Loss  0.872013, Average Loss  0.869402, Time  0.358796
2021-09-10 11:17:57.179100 : Epoch 10, Batch   1094, Loss  0.879229, Average Loss  0.869470, Time  0.369459
2021-09-10 11:17:59.033776 : Epoch 10, Batch   1095, Loss  0.888834, Average Loss  0.869642, Time  0.451199
2021-09-10 11:18:00.818949 : Epoch 10, Batch   1096, Loss  0.876574, Average Loss  0.869834, Time  0.366340
2021-09-10 11:18:02.588208 : Epoch 10, Batch   1097, Loss  0.874550, Average Loss  0.869866, Time  0.362477
2021-09-10 11:18:04.406000 : Epoch 10, Batch   1098, Loss  0.855733, Average Loss  0.869799, Time  0.379733
2021-09-10 11:18:06.303790 : Epoch 10, Batch   1099, Loss  0.860020, Average Loss  0.869946, Time  0.457951
2021-09-10 11:18:08.106891 : Epoch 10, Batch   1100, Loss  0.864172, Average Loss  0.869934, Time  0.375462
2021-09-10 11:18:09.893779 : Epoch 10, Batch   1101, Loss  0.823417, Average Loss  0.869676, Time  0.360585
2021-09-10 11:23:01.325707 : CheckPoint: Validation Loss  0.00060826, Best Loss  0.00056427
2021-09-10 11:23:03.176776 : Epoch 10, Batch   1102, Loss  0.875149, Average Loss  0.869610, Time  0.412022
2021-09-10 11:23:05.026771 : Epoch 10, Batch   1103, Loss  0.868702, Average Loss  0.869751, Time  0.456731
2021-09-10 11:23:06.808911 : Epoch 10, Batch   1104, Loss  0.868966, Average Loss  0.869696, Time  0.356428
2021-09-10 11:23:08.591782 : Epoch 10, Batch   1105, Loss  0.838261, Average Loss  0.869582, Time  0.358204
2021-09-10 11:23:10.383817 : Epoch 10, Batch   1106, Loss  0.862891, Average Loss  0.869606, Time  0.396350
2021-09-10 11:23:12.267772 : Epoch 10, Batch   1107, Loss  0.885651, Average Loss  0.869532, Time  0.458961
2021-09-10 11:23:14.036773 : Epoch 10, Batch   1108, Loss  0.853210, Average Loss  0.869289, Time  0.362164
2021-09-10 11:23:15.807106 : Epoch 10, Batch   1109, Loss  0.840244, Average Loss  0.869017, Time  0.364400
2021-09-10 11:23:17.606101 : Epoch 10, Batch   1110, Loss  0.889408, Average Loss  0.869055, Time  0.401553
2021-09-10 11:23:19.491776 : Epoch 10, Batch   1111, Loss  0.870173, Average Loss  0.869045, Time  0.461896
2021-09-10 11:23:21.290000 : Epoch 10, Batch   1112, Loss  0.873941, Average Loss  0.869036, Time  0.364311
2021-09-10 11:23:23.062772 : Epoch 10, Batch   1113, Loss  0.880915, Average Loss  0.868990, Time  0.362511
2021-09-10 11:23:24.856808 : Epoch 10, Batch   1114, Loss  0.881837, Average Loss  0.869109, Time  0.366316
2021-09-10 11:23:26.742780 : Epoch 10, Batch   1115, Loss  0.825404, Average Loss  0.868854, Time  0.472211
2021-09-10 11:23:28.525814 : Epoch 10, Batch   1116, Loss  0.852173, Average Loss  0.868828, Time  0.356766
2021-09-10 11:23:30.291104 : Epoch 10, Batch   1117, Loss  0.871832, Average Loss  0.868729, Time  0.358859
2021-09-10 11:23:32.069775 : Epoch 10, Batch   1118, Loss  0.854209, Average Loss  0.868719, Time  0.368525
2021-09-10 11:23:33.940310 : Epoch 10, Batch   1119, Loss  0.873327, Average Loss  0.868629, Time  0.459827
2021-09-10 11:23:35.704864 : Epoch 10, Batch   1120, Loss  0.851636, Average Loss  0.868471, Time  0.357084
2021-09-10 11:23:37.479894 : Epoch 10, Batch   1121, Loss  0.859770, Average Loss  0.868466, Time  0.362691
2021-09-10 11:23:39.278103 : Epoch 10, Batch   1122, Loss  0.873824, Average Loss  0.868483, Time  0.386921
2021-09-10 11:23:41.157239 : Epoch 10, Batch   1123, Loss  0.847682, Average Loss  0.868465, Time  0.452194
2021-09-10 11:23:42.957774 : Epoch 10, Batch   1124, Loss  0.862560, Average Loss  0.868434, Time  0.367301
2021-09-10 11:23:44.736394 : Epoch 10, Batch   1125, Loss  0.898617, Average Loss  0.868541, Time  0.362395
2021-09-10 11:23:46.548931 : Epoch 10, Batch   1126, Loss  0.843668, Average Loss  0.868368, Time  0.375863
2021-09-10 11:23:48.440190 : Epoch 10, Batch   1127, Loss  0.857713, Average Loss  0.868214, Time  0.457855
2021-09-10 11:23:50.182096 : Epoch 10, Batch   1128, Loss  0.855992, Average Loss  0.868184, Time  0.356427
2021-09-10 11:23:51.944239 : Epoch 10, Batch   1129, Loss  0.878802, Average Loss  0.868113, Time  0.364840
2021-09-10 11:23:53.755785 : Epoch 10, Batch   1130, Loss  0.829661, Average Loss  0.867829, Time  0.383989
2021-09-10 11:23:55.613781 : Epoch 10, Batch   1131, Loss  0.876643, Average Loss  0.867863, Time  0.449204
2021-09-10 11:23:57.399804 : Epoch 10, Batch   1132, Loss  0.864798, Average Loss  0.867775, Time  0.356779
2021-09-10 11:23:59.209103 : Epoch 10, Batch   1133, Loss  0.853891, Average Loss  0.867738, Time  0.375012
2021-09-10 11:24:01.018884 : Epoch 10, Batch   1134, Loss  0.858150, Average Loss  0.867738, Time  0.397214
2021-09-10 11:24:02.927773 : Epoch 10, Batch   1135, Loss  0.859506, Average Loss  0.867659, Time  0.451586
2021-09-10 11:24:04.705765 : Epoch 10, Batch   1136, Loss  0.826122, Average Loss  0.867430, Time  0.346175
2021-09-10 11:24:06.483104 : Epoch 10, Batch   1137, Loss  0.874205, Average Loss  0.867388, Time  0.362993
2021-09-10 11:24:08.258183 : Epoch 10, Batch   1138, Loss  0.859311, Average Loss  0.867391, Time  0.360794
2021-09-10 11:24:10.128471 : Epoch 10, Batch   1139, Loss  0.878009, Average Loss  0.867543, Time  0.458728
2021-09-10 11:24:11.922112 : Epoch 10, Batch   1140, Loss  0.864062, Average Loss  0.867633, Time  0.376024
2021-09-10 11:24:13.714564 : Epoch 10, Batch   1141, Loss  0.897334, Average Loss  0.867915, Time  0.367549
2021-09-10 11:24:15.471223 : Epoch 10, Batch   1142, Loss  0.895391, Average Loss  0.867995, Time  0.360886
2021-09-10 11:24:17.343762 : Epoch 10, Batch   1143, Loss  0.878970, Average Loss  0.868039, Time  0.466159
2021-09-10 11:24:19.200800 : Epoch 10, Batch   1144, Loss  0.881569, Average Loss  0.868058, Time  0.447067
2021-09-10 11:24:20.987266 : Epoch 10, Batch   1145, Loss  0.875767, Average Loss  0.868076, Time  0.360786
2021-09-10 11:24:22.744977 : Epoch 10, Batch   1146, Loss  0.861899, Average Loss  0.868051, Time  0.358073
2021-09-10 11:24:24.578234 : Epoch 10, Batch   1147, Loss  0.873521, Average Loss  0.868116, Time  0.415058
2021-09-10 11:24:26.443937 : Epoch 10, Batch   1148, Loss  0.855338, Average Loss  0.868067, Time  0.449549
2021-09-10 11:24:28.222031 : Epoch 10, Batch   1149, Loss  0.902624, Average Loss  0.868361, Time  0.369806
2021-09-10 11:24:29.996714 : Epoch 10, Batch   1150, Loss  0.899577, Average Loss  0.868503, Time  0.355918
2021-09-10 11:24:31.828826 : Epoch 10, Batch   1151, Loss  0.849777, Average Loss  0.868300, Time  0.388099
2021-09-10 11:24:33.717822 : Epoch 10, Batch   1152, Loss  0.852114, Average Loss  0.868268, Time  0.448895
2021-09-10 11:24:35.514777 : Epoch 10, Batch   1153, Loss  0.853674, Average Loss  0.868222, Time  0.353776
2021-09-10 11:24:37.295257 : Epoch 10, Batch   1154, Loss  0.873461, Average Loss  0.868374, Time  0.370300
2021-09-10 11:24:39.083767 : Epoch 10, Batch   1155, Loss  0.850816, Average Loss  0.868328, Time  0.360363
2021-09-10 11:24:40.961777 : Epoch 10, Batch   1156, Loss  0.872787, Average Loss  0.868332, Time  0.458842
2021-09-10 11:24:42.748774 : Epoch 10, Batch   1157, Loss  0.863986, Average Loss  0.868246, Time  0.369674
2021-09-10 11:24:44.558845 : Epoch 10, Batch   1158, Loss  0.840953, Average Loss  0.868145, Time  0.370769
2021-09-10 11:24:46.361776 : Epoch 10, Batch   1159, Loss  0.843101, Average Loss  0.867926, Time  0.365016
2021-09-10 11:24:48.257107 : Epoch 10, Batch   1160, Loss  0.868357, Average Loss  0.868017, Time  0.458813
2021-09-10 11:24:50.048104 : Epoch 10, Batch   1161, Loss  0.859561, Average Loss  0.867928, Time  0.354474
2021-09-10 11:24:51.835118 : Epoch 10, Batch   1162, Loss  0.900503, Average Loss  0.868045, Time  0.358050
2021-09-10 11:24:53.614241 : Epoch 10, Batch   1163, Loss  0.844152, Average Loss  0.867869, Time  0.365630
2021-09-10 11:24:55.504793 : Epoch 10, Batch   1164, Loss  0.859661, Average Loss  0.867618, Time  0.452614
2021-09-10 11:24:57.274217 : Epoch 10, Batch   1165, Loss  0.873009, Average Loss  0.867509, Time  0.345088
2021-09-10 11:24:59.049729 : Epoch 10, Batch   1166, Loss  0.868250, Average Loss  0.867458, Time  0.360399
2021-09-10 11:25:00.841785 : Epoch 10, Batch   1167, Loss  0.824421, Average Loss  0.867160, Time  0.364991
2021-09-10 11:25:02.754791 : Epoch 10, Batch   1168, Loss  0.868116, Average Loss  0.867156, Time  0.457515
2021-09-10 11:25:04.659522 : Epoch 10, Batch   1169, Loss  0.853569, Average Loss  0.867016, Time  0.439865
2021-09-10 11:25:06.455448 : Epoch 10, Batch   1170, Loss  0.876201, Average Loss  0.866923, Time  0.364492
2021-09-10 11:25:08.214237 : Epoch 10, Batch   1171, Loss  0.875353, Average Loss  0.866790, Time  0.361408
2021-09-10 11:25:10.080789 : Epoch 10, Batch   1172, Loss  0.836100, Average Loss  0.866716, Time  0.432718
2021-09-10 11:25:11.959804 : Epoch 10, Batch   1173, Loss  0.875009, Average Loss  0.866894, Time  0.455253
2021-09-10 11:25:13.772958 : Epoch 10, Batch   1174, Loss  0.879154, Average Loss  0.867060, Time  0.381500
2021-09-10 11:25:15.575862 : Epoch 10, Batch   1175, Loss  0.901230, Average Loss  0.867222, Time  0.373234
2021-09-10 11:25:17.409772 : Epoch 10, Batch   1176, Loss  0.849354, Average Loss  0.867119, Time  0.405580
2021-09-10 11:25:19.275764 : Epoch 10, Batch   1177, Loss  0.875750, Average Loss  0.867090, Time  0.450936
2021-09-10 11:25:21.070116 : Epoch 10, Batch   1178, Loss  0.864519, Average Loss  0.866960, Time  0.363526
2021-09-10 11:25:22.893764 : Epoch 10, Batch   1179, Loss  0.906507, Average Loss  0.867037, Time  0.376210
2021-09-10 11:25:24.720819 : Epoch 10, Batch   1180, Loss  0.854465, Average Loss  0.866919, Time  0.392695
2021-09-10 11:25:26.623784 : Epoch 10, Batch   1181, Loss  0.863195, Average Loss  0.866885, Time  0.452947
2021-09-10 11:25:28.445764 : Epoch 10, Batch   1182, Loss  0.866455, Average Loss  0.866845, Time  0.374677
2021-09-10 11:25:30.234952 : Epoch 10, Batch   1183, Loss  0.878749, Average Loss  0.866761, Time  0.359473
2021-09-10 11:25:32.067924 : Epoch 10, Batch   1184, Loss  0.848032, Average Loss  0.866742, Time  0.358573
2021-09-10 11:25:33.959777 : Epoch 10, Batch   1185, Loss  0.855636, Average Loss  0.866496, Time  0.444891
2021-09-10 11:25:35.859781 : Epoch 10, Batch   1186, Loss  0.858789, Average Loss  0.866518, Time  0.451118
2021-09-10 11:25:37.663766 : Epoch 10, Batch   1187, Loss  0.877900, Average Loss  0.866534, Time  0.356796
2021-09-10 11:25:39.458108 : Epoch 10, Batch   1188, Loss  0.903600, Average Loss  0.866599, Time  0.369673
2021-09-10 11:25:41.277107 : Epoch 10, Batch   1189, Loss  0.845764, Average Loss  0.866418, Time  0.378226
2021-09-10 11:25:43.177897 : Epoch 10, Batch   1190, Loss  0.847055, Average Loss  0.866304, Time  0.464744
2021-09-10 11:25:44.954145 : Epoch 10, Batch   1191, Loss  0.859692, Average Loss  0.866151, Time  0.358238
2021-09-10 11:25:46.748773 : Epoch 10, Batch   1192, Loss  0.883243, Average Loss  0.866171, Time  0.358431
2021-09-10 11:25:48.571823 : Epoch 10, Batch   1193, Loss  0.834058, Average Loss  0.865989, Time  0.366804
2021-09-10 11:25:50.463779 : Epoch 10, Batch   1194, Loss  0.850406, Average Loss  0.865915, Time  0.453462
2021-09-10 11:25:52.336862 : Epoch 10, Batch   1195, Loss  0.857469, Average Loss  0.865822, Time  0.447014
2021-09-10 11:25:54.136520 : Epoch 10, Batch   1196, Loss  0.859374, Average Loss  0.865738, Time  0.362990
2021-09-10 11:25:55.914101 : Epoch 10, Batch   1197, Loss  0.850722, Average Loss  0.865646, Time  0.356530
2021-09-10 11:25:57.731775 : Epoch 10, Batch   1198, Loss  0.854922, Average Loss  0.865508, Time  0.413432
2021-09-10 11:25:59.599831 : Epoch 10, Batch   1199, Loss  0.876677, Average Loss  0.865713, Time  0.445529
2021-09-10 11:26:01.388762 : Epoch 10, Batch   1200, Loss  0.869457, Average Loss  0.865756, Time  0.357312
2021-09-10 11:26:03.151902 : Epoch 10, Batch   1201, Loss  0.855066, Average Loss  0.865698, Time  0.355785
2021-09-10 11:30:53.881074 : CheckPoint: Validation Loss  0.00060748, Best Loss  0.00056427
2021-09-10 11:30:55.663068 : Epoch 10, Batch   1202, Loss  0.877152, Average Loss  0.865720, Time  0.363663
2021-09-10 11:30:57.436800 : Epoch 10, Batch   1203, Loss  0.840539, Average Loss  0.865471, Time  0.365049
2021-09-10 11:30:59.273819 : Epoch 10, Batch   1204, Loss  0.905623, Average Loss  0.865666, Time  0.424916
2021-09-10 11:31:01.159100 : Epoch 10, Batch   1205, Loss  0.860042, Average Loss  0.865713, Time  0.456410
2021-09-10 11:31:02.948762 : Epoch 10, Batch   1206, Loss  0.884127, Average Loss  0.865736, Time  0.356120
2021-09-10 11:31:04.730098 : Epoch 10, Batch   1207, Loss  0.845717, Average Loss  0.865668, Time  0.366547
2021-09-10 11:31:06.527275 : Epoch 10, Batch   1208, Loss  0.863172, Average Loss  0.865636, Time  0.396039
2021-09-10 11:31:08.416238 : Epoch 10, Batch   1209, Loss  0.864500, Average Loss  0.865800, Time  0.450571
2021-09-10 11:31:10.182853 : Epoch 10, Batch   1210, Loss  0.832632, Average Loss  0.865787, Time  0.356899
2021-09-10 11:31:11.959994 : Epoch 10, Batch   1211, Loss  0.887838, Average Loss  0.866082, Time  0.359575
2021-09-10 11:31:13.786898 : Epoch 10, Batch   1212, Loss  0.885911, Average Loss  0.866136, Time  0.390728
2021-09-10 11:31:15.657231 : Epoch 10, Batch   1213, Loss  0.878353, Average Loss  0.866259, Time  0.453446
2021-09-10 11:31:17.432338 : Epoch 10, Batch   1214, Loss  0.832681, Average Loss  0.866037, Time  0.360404
2021-09-10 11:31:19.193259 : Epoch 10, Batch   1215, Loss  0.857108, Average Loss  0.865938, Time  0.365921
2021-09-10 11:31:21.003838 : Epoch 10, Batch   1216, Loss  0.865042, Average Loss  0.866013, Time  0.408754
2021-09-10 11:31:22.871467 : Epoch 10, Batch   1217, Loss  0.902401, Average Loss  0.866236, Time  0.450970
2021-09-10 11:31:24.654075 : Epoch 10, Batch   1218, Loss  0.881161, Average Loss  0.866380, Time  0.363229
2021-09-10 11:31:26.452777 : Epoch 10, Batch   1219, Loss  0.865461, Average Loss  0.866311, Time  0.370268
2021-09-10 11:31:28.257982 : Epoch 10, Batch   1220, Loss  0.907500, Average Loss  0.866477, Time  0.374858
2021-09-10 11:31:30.127869 : Epoch 10, Batch   1221, Loss  0.879025, Average Loss  0.866516, Time  0.452172
2021-09-10 11:31:31.890225 : Epoch 10, Batch   1222, Loss  0.853039, Average Loss  0.866441, Time  0.360229
2021-09-10 11:31:33.683774 : Epoch 10, Batch   1223, Loss  0.859975, Average Loss  0.866367, Time  0.369491
2021-09-10 11:31:35.478781 : Epoch 10, Batch   1224, Loss  0.852737, Average Loss  0.866376, Time  0.393137
2021-09-10 11:31:37.365770 : Epoch 10, Batch   1225, Loss  0.893474, Average Loss  0.866506, Time  0.451524
2021-09-10 11:31:39.140098 : Epoch 10, Batch   1226, Loss  0.870972, Average Loss  0.866606, Time  0.357493
2021-09-10 11:31:40.933762 : Epoch 10, Batch   1227, Loss  0.858811, Average Loss  0.866465, Time  0.363353
2021-09-10 11:31:42.734101 : Epoch 10, Batch   1228, Loss  0.820477, Average Loss  0.866274, Time  0.375762
2021-09-10 11:31:44.606817 : Epoch 10, Batch   1229, Loss  0.864081, Average Loss  0.866160, Time  0.462203
2021-09-10 11:31:46.381784 : Epoch 10, Batch   1230, Loss  0.840954, Average Loss  0.865939, Time  0.357438
2021-09-10 11:31:48.170256 : Epoch 10, Batch   1231, Loss  0.859448, Average Loss  0.865900, Time  0.365788
2021-09-10 11:31:49.952775 : Epoch 10, Batch   1232, Loss  0.879051, Average Loss  0.865927, Time  0.377318
2021-09-10 11:31:51.818910 : Epoch 10, Batch   1233, Loss  0.872111, Average Loss  0.866003, Time  0.462796
2021-09-10 11:31:53.583929 : Epoch 10, Batch   1234, Loss  0.867616, Average Loss  0.865983, Time  0.365002
2021-09-10 11:31:55.404096 : Epoch 10, Batch   1235, Loss  0.890679, Average Loss  0.866101, Time  0.356803
2021-09-10 11:31:57.193989 : Epoch 10, Batch   1236, Loss  0.879703, Average Loss  0.866136, Time  0.375575
2021-09-10 11:31:59.093094 : Epoch 10, Batch   1237, Loss  0.887146, Average Loss  0.866358, Time  0.460182
2021-09-10 11:32:00.885090 : Epoch 10, Batch   1238, Loss  0.846748, Average Loss  0.866215, Time  0.370014
2021-09-10 11:32:02.649124 : Epoch 10, Batch   1239, Loss  0.837082, Average Loss  0.866091, Time  0.370151
2021-09-10 11:32:04.436110 : Epoch 10, Batch   1240, Loss  0.858014, Average Loss  0.865883, Time  0.376155
2021-09-10 11:32:06.308845 : Epoch 10, Batch   1241, Loss  0.879950, Average Loss  0.866071, Time  0.456213
2021-09-10 11:32:08.080723 : Epoch 10, Batch   1242, Loss  0.850411, Average Loss  0.866019, Time  0.359904
2021-09-10 11:32:09.855098 : Epoch 10, Batch   1243, Loss  0.872116, Average Loss  0.866090, Time  0.359143
2021-09-10 11:32:11.664775 : Epoch 10, Batch   1244, Loss  0.893715, Average Loss  0.866295, Time  0.385846
2021-09-10 11:32:13.527941 : Epoch 10, Batch   1245, Loss  0.889635, Average Loss  0.866400, Time  0.460831
2021-09-10 11:32:15.306905 : Epoch 10, Batch   1246, Loss  0.870871, Average Loss  0.866303, Time  0.364002
2021-09-10 11:32:17.090129 : Epoch 10, Batch   1247, Loss  0.873960, Average Loss  0.866221, Time  0.362334
2021-09-10 11:32:18.883240 : Epoch 10, Batch   1248, Loss  0.862473, Average Loss  0.866062, Time  0.383967
2021-09-10 11:32:20.765071 : Epoch 10, Batch   1249, Loss  0.880804, Average Loss  0.866041, Time  0.471938
2021-09-10 11:32:22.538764 : Epoch 10, Batch   1250, Loss  0.885898, Average Loss  0.866170, Time  0.356866
2021-09-10 11:32:24.324236 : Epoch 10, Batch   1251, Loss  0.893426, Average Loss  0.866251, Time  0.371460
2021-09-10 11:32:26.112779 : Epoch 10, Batch   1252, Loss  0.891926, Average Loss  0.866313, Time  0.363666
2021-09-10 11:32:27.991101 : Epoch 10, Batch   1253, Loss  0.869195, Average Loss  0.866325, Time  0.459044
2021-09-10 11:32:29.757908 : Epoch 10, Batch   1254, Loss  0.888873, Average Loss  0.866453, Time  0.363503
2021-09-10 11:32:31.547979 : Epoch 10, Batch   1255, Loss  0.903795, Average Loss  0.866627, Time  0.364738
2021-09-10 11:32:33.348916 : Epoch 10, Batch   1256, Loss  0.889684, Average Loss  0.866820, Time  0.390988
2021-09-10 11:32:35.217238 : Epoch 10, Batch   1257, Loss  0.843323, Average Loss  0.866802, Time  0.462664
2021-09-10 11:32:36.992771 : Epoch 10, Batch   1258, Loss  0.859136, Average Loss  0.866771, Time  0.362172
2021-09-10 11:32:38.766830 : Epoch 10, Batch   1259, Loss  0.876559, Average Loss  0.866914, Time  0.364391
2021-09-10 11:32:40.590077 : Epoch 10, Batch   1260, Loss  0.866159, Average Loss  0.866857, Time  0.394609
2021-09-10 11:32:42.492230 : Epoch 10, Batch   1261, Loss  0.874092, Average Loss  0.866875, Time  0.450822
2021-09-10 11:32:44.260303 : Epoch 10, Batch   1262, Loss  0.875116, Average Loss  0.866948, Time  0.360685
2021-09-10 11:32:46.050099 : Epoch 10, Batch   1263, Loss  0.887927, Average Loss  0.867053, Time  0.363603
2021-09-10 11:32:47.824769 : Epoch 10, Batch   1264, Loss  0.861084, Average Loss  0.867032, Time  0.365407
2021-09-10 11:32:49.700102 : Epoch 10, Batch   1265, Loss  0.843266, Average Loss  0.866892, Time  0.461337
2021-09-10 11:32:51.489529 : Epoch 10, Batch   1266, Loss  0.874959, Average Loss  0.867049, Time  0.375478
2021-09-10 11:32:53.282940 : Epoch 10, Batch   1267, Loss  0.901607, Average Loss  0.867268, Time  0.372016
2021-09-10 11:32:55.087975 : Epoch 10, Batch   1268, Loss  0.870839, Average Loss  0.867285, Time  0.367991
2021-09-10 11:32:57.027880 : Epoch 10, Batch   1269, Loss  0.870066, Average Loss  0.867263, Time  0.452555
2021-09-10 11:32:58.863102 : Epoch 10, Batch   1270, Loss  0.872634, Average Loss  0.867260, Time  0.423728
2021-09-10 11:33:00.633805 : Epoch 10, Batch   1271, Loss  0.881297, Average Loss  0.867311, Time  0.356773
2021-09-10 11:33:02.415867 : Epoch 10, Batch   1272, Loss  0.877637, Average Loss  0.867202, Time  0.367489
2021-09-10 11:33:04.276231 : Epoch 10, Batch   1273, Loss  0.890850, Average Loss  0.867357, Time  0.438609
2021-09-10 11:33:06.056776 : Epoch 10, Batch   1274, Loss  0.859597, Average Loss  0.867388, Time  0.359237
2021-09-10 11:33:07.938445 : Epoch 10, Batch   1275, Loss  0.878424, Average Loss  0.867422, Time  0.455325
2021-09-10 11:33:09.806796 : Epoch 10, Batch   1276, Loss  0.872791, Average Loss  0.867513, Time  0.450962
2021-09-10 11:33:11.590130 : Epoch 10, Batch   1277, Loss  0.874015, Average Loss  0.867643, Time  0.360822
2021-09-10 11:33:13.376135 : Epoch 10, Batch   1278, Loss  0.831001, Average Loss  0.867415, Time  0.357902
2021-09-10 11:33:15.188742 : Epoch 10, Batch   1279, Loss  0.872540, Average Loss  0.867341, Time  0.395290
2021-09-10 11:33:17.046109 : Epoch 10, Batch   1280, Loss  0.865253, Average Loss  0.867246, Time  0.456478
2021-09-10 11:33:18.835929 : Epoch 10, Batch   1281, Loss  0.851303, Average Loss  0.867180, Time  0.360507
2021-09-10 11:33:20.618223 : Epoch 10, Batch   1282, Loss  0.864152, Average Loss  0.867170, Time  0.356815
2021-09-10 11:33:22.445064 : Epoch 10, Batch   1283, Loss  0.871494, Average Loss  0.867121, Time  0.422280
2021-09-10 11:33:24.298822 : Epoch 10, Batch   1284, Loss  0.844675, Average Loss  0.867048, Time  0.461228
2021-09-10 11:33:26.087098 : Epoch 10, Batch   1285, Loss  0.870962, Average Loss  0.867148, Time  0.356341
2021-09-10 11:33:27.861320 : Epoch 10, Batch   1286, Loss  0.886663, Average Loss  0.867348, Time  0.357373
2021-09-10 11:33:29.657107 : Epoch 10, Batch   1287, Loss  0.853051, Average Loss  0.867282, Time  0.401288
2021-09-10 11:33:31.570874 : Epoch 10, Batch   1288, Loss  0.854077, Average Loss  0.867195, Time  0.458395
2021-09-10 11:33:33.449110 : Epoch 10, Batch   1289, Loss  0.896073, Average Loss  0.867365, Time  0.416371
2021-09-10 11:33:35.273935 : Epoch 10, Batch   1290, Loss  0.874995, Average Loss  0.867262, Time  0.374131
2021-09-10 11:33:37.063106 : Epoch 10, Batch   1291, Loss  0.858124, Average Loss  0.867242, Time  0.357340
2021-09-10 11:33:38.938230 : Epoch 10, Batch   1292, Loss  0.835219, Average Loss  0.867067, Time  0.425333
2021-09-10 11:33:40.840774 : Epoch 10, Batch   1293, Loss  0.867813, Average Loss  0.867046, Time  0.464477
2021-09-10 11:33:42.613838 : Epoch 10, Batch   1294, Loss  0.875260, Average Loss  0.867026, Time  0.367416
2021-09-10 11:33:44.433816 : Epoch 10, Batch   1295, Loss  0.861107, Average Loss  0.866888, Time  0.361566
2021-09-10 11:33:46.250769 : Epoch 10, Batch   1296, Loss  0.860468, Average Loss  0.866807, Time  0.355748
2021-09-10 11:33:48.116777 : Epoch 10, Batch   1297, Loss  0.843434, Average Loss  0.866651, Time  0.452629
2021-09-10 11:33:49.891214 : Epoch 10, Batch   1298, Loss  0.890355, Average Loss  0.866825, Time  0.354687
2021-09-10 11:33:51.666775 : Epoch 10, Batch   1299, Loss  0.863776, Average Loss  0.866843, Time  0.367415
2021-09-10 11:33:53.478106 : Epoch 10, Batch   1300, Loss  0.864764, Average Loss  0.866846, Time  0.394562
2021-09-10 11:33:55.389112 : Epoch 10, Batch   1301, Loss  0.902475, Average Loss  0.867242, Time  0.453559
2021-09-10 11:38:45.978707 : CheckPoint: Validation Loss  0.00058891, Best Loss  0.00056427
2021-09-10 11:38:47.793871 : Epoch 10, Batch   1302, Loss  0.872252, Average Loss  0.867227, Time  0.360404
2021-09-10 11:38:49.674778 : Epoch 10, Batch   1303, Loss  0.852801, Average Loss  0.867148, Time  0.461371
2021-09-10 11:38:51.517401 : Epoch 10, Batch   1304, Loss  0.865841, Average Loss  0.867132, Time  0.429671
2021-09-10 11:38:53.315839 : Epoch 10, Batch   1305, Loss  0.887848, Average Loss  0.867380, Time  0.358978
2021-09-10 11:38:55.104321 : Epoch 10, Batch   1306, Loss  0.882647, Average Loss  0.867479, Time  0.358884
2021-09-10 11:38:56.957773 : Epoch 10, Batch   1307, Loss  0.881364, Average Loss  0.867457, Time  0.425991
2021-09-10 11:38:58.738099 : Epoch 10, Batch   1308, Loss  0.877849, Average Loss  0.867580, Time  0.357340
2021-09-10 11:39:00.544775 : Epoch 10, Batch   1309, Loss  0.839982, Average Loss  0.867579, Time  0.365109
2021-09-10 11:39:02.356381 : Epoch 10, Batch   1310, Loss  0.862880, Average Loss  0.867447, Time  0.411929
2021-09-10 11:39:04.131769 : Epoch 10, Batch   1311, Loss  0.879865, Average Loss  0.867495, Time  0.356817
2021-09-10 11:39:05.970759 : Epoch 10, Batch   1312, Loss  0.895272, Average Loss  0.867602, Time  0.401810
2021-09-10 11:39:07.812840 : Epoch 10, Batch   1313, Loss  0.866522, Average Loss  0.867530, Time  0.410633
2021-09-10 11:39:09.584773 : Epoch 10, Batch   1314, Loss  0.907209, Average Loss  0.867657, Time  0.362230
2021-09-10 11:39:11.453874 : Epoch 10, Batch   1315, Loss  0.882119, Average Loss  0.867940, Time  0.409946
2021-09-10 11:39:13.278886 : Epoch 10, Batch   1316, Loss  0.873292, Average Loss  0.868046, Time  0.409447
2021-09-10 11:39:15.061827 : Epoch 10, Batch   1317, Loss  0.825910, Average Loss  0.867816, Time  0.359896
2021-09-10 11:39:16.901250 : Epoch 10, Batch   1318, Loss  0.874694, Average Loss  0.867919, Time  0.422505
2021-09-10 11:39:18.745826 : Epoch 10, Batch   1319, Loss  0.871139, Average Loss  0.867908, Time  0.412430
2021-09-10 11:39:20.538113 : Epoch 10, Batch   1320, Loss  0.885370, Average Loss  0.868076, Time  0.362987
2021-09-10 11:39:22.399865 : Epoch 10, Batch   1321, Loss  0.875158, Average Loss  0.868153, Time  0.417002
2021-09-10 11:39:24.256329 : Epoch 10, Batch   1322, Loss  0.846240, Average Loss  0.868015, Time  0.405959
2021-09-10 11:39:26.050199 : Epoch 10, Batch   1323, Loss  0.883974, Average Loss  0.868197, Time  0.360006
2021-09-10 11:39:27.901772 : Epoch 10, Batch   1324, Loss  0.887623, Average Loss  0.868322, Time  0.436851
2021-09-10 11:39:29.684112 : Epoch 10, Batch   1325, Loss  0.867160, Average Loss  0.868165, Time  0.367439
2021-09-10 11:39:31.538775 : Epoch 10, Batch   1326, Loss  0.879658, Average Loss  0.868345, Time  0.421050
2021-09-10 11:39:33.330097 : Epoch 10, Batch   1327, Loss  0.878208, Average Loss  0.868447, Time  0.366477
2021-09-10 11:39:35.149776 : Epoch 10, Batch   1328, Loss  0.880943, Average Loss  0.868572, Time  0.417182
2021-09-10 11:39:36.952094 : Epoch 10, Batch   1329, Loss  0.898889, Average Loss  0.868672, Time  0.359109
2021-09-10 11:39:38.804776 : Epoch 10, Batch   1330, Loss  0.866200, Average Loss  0.868855, Time  0.422697
2021-09-10 11:39:40.589908 : Epoch 10, Batch   1331, Loss  0.878239, Average Loss  0.868863, Time  0.360226
2021-09-10 11:39:42.413071 : Epoch 10, Batch   1332, Loss  0.881396, Average Loss  0.868946, Time  0.397739
2021-09-10 11:39:44.183761 : Epoch 10, Batch   1333, Loss  0.878621, Average Loss  0.869070, Time  0.371210
2021-09-10 11:39:46.032039 : Epoch 10, Batch   1334, Loss  0.893634, Average Loss  0.869247, Time  0.380738
2021-09-10 11:39:47.838760 : Epoch 10, Batch   1335, Loss  0.834495, Average Loss  0.869122, Time  0.361344
2021-09-10 11:39:49.627107 : Epoch 10, Batch   1336, Loss  0.880824, Average Loss  0.869396, Time  0.365435
2021-09-10 11:39:51.420095 : Epoch 10, Batch   1337, Loss  0.855816, Average Loss  0.869304, Time  0.360512
2021-09-10 11:39:53.220773 : Epoch 10, Batch   1338, Loss  0.863802, Average Loss  0.869326, Time  0.372979
2021-09-10 11:39:55.015223 : Epoch 10, Batch   1339, Loss  0.901192, Average Loss  0.869442, Time  0.357595
2021-09-10 11:39:56.815773 : Epoch 10, Batch   1340, Loss  0.862802, Average Loss  0.869436, Time  0.370622
2021-09-10 11:39:58.578846 : Epoch 10, Batch   1341, Loss  0.887563, Average Loss  0.869387, Time  0.361450
2021-09-10 11:40:00.370896 : Epoch 10, Batch   1342, Loss  0.865974, Average Loss  0.869240, Time  0.373922
2021-09-10 11:40:02.158103 : Epoch 10, Batch   1343, Loss  0.874366, Average Loss  0.869217, Time  0.369673
2021-09-10 11:40:03.960770 : Epoch 10, Batch   1344, Loss  0.874160, Average Loss  0.869180, Time  0.385594
2021-09-10 11:40:05.764273 : Epoch 10, Batch   1345, Loss  0.836447, Average Loss  0.868983, Time  0.367611
2021-09-10 11:40:07.538782 : Epoch 10, Batch   1346, Loss  0.896675, Average Loss  0.869157, Time  0.368775
2021-09-10 11:40:09.328218 : Epoch 10, Batch   1347, Loss  0.871712, Average Loss  0.869148, Time  0.363270
2021-09-10 11:40:11.118765 : Epoch 10, Batch   1348, Loss  0.890605, Average Loss  0.869324, Time  0.373384
2021-09-10 11:40:12.924122 : Epoch 10, Batch   1349, Loss  0.879621, Average Loss  0.869209, Time  0.360713
2021-09-10 11:40:14.718760 : Epoch 10, Batch   1350, Loss  0.871903, Average Loss  0.869071, Time  0.367632
2021-09-10 11:40:16.491213 : Epoch 10, Batch   1351, Loss  0.859432, Average Loss  0.869119, Time  0.362299
2021-09-10 11:40:18.335766 : Epoch 10, Batch   1352, Loss  0.865763, Average Loss  0.869187, Time  0.372483
2021-09-10 11:40:20.120233 : Epoch 10, Batch   1353, Loss  0.853972, Average Loss  0.869189, Time  0.362305
2021-09-10 11:40:21.898774 : Epoch 10, Batch   1354, Loss  0.840973, Average Loss  0.869026, Time  0.369584
2021-09-10 11:40:23.684222 : Epoch 10, Batch   1355, Loss  0.880858, Average Loss  0.869177, Time  0.363902
2021-09-10 11:40:25.482764 : Epoch 10, Batch   1356, Loss  0.859020, Average Loss  0.869108, Time  0.371113
2021-09-10 11:40:27.261230 : Epoch 10, Batch   1357, Loss  0.843672, Average Loss  0.869006, Time  0.359736
2021-09-10 11:40:29.080774 : Epoch 10, Batch   1358, Loss  0.850030, Average Loss  0.869052, Time  0.387478
2021-09-10 11:40:30.857513 : Epoch 10, Batch   1359, Loss  0.886056, Average Loss  0.869266, Time  0.363140
2021-09-10 11:40:32.682923 : Epoch 10, Batch   1360, Loss  0.852233, Average Loss  0.869186, Time  0.369781
2021-09-10 11:40:34.486767 : Epoch 10, Batch   1361, Loss  0.873564, Average Loss  0.869256, Time  0.361355
2021-09-10 11:40:36.271818 : Epoch 10, Batch   1362, Loss  0.854909, Average Loss  0.869028, Time  0.365263
2021-09-10 11:40:38.076211 : Epoch 10, Batch   1363, Loss  0.852165, Average Loss  0.869068, Time  0.363922
2021-09-10 11:40:39.873763 : Epoch 10, Batch   1364, Loss  0.878752, Average Loss  0.869163, Time  0.361740
2021-09-10 11:40:41.657238 : Epoch 10, Batch   1365, Loss  0.853915, Average Loss  0.869068, Time  0.357060
2021-09-10 11:40:43.479609 : Epoch 10, Batch   1366, Loss  0.822136, Average Loss  0.868837, Time  0.375556
2021-09-10 11:40:45.265220 : Epoch 10, Batch   1367, Loss  0.846539, Average Loss  0.868948, Time  0.368657
2021-09-10 11:40:47.074811 : Epoch 10, Batch   1368, Loss  0.848335, Average Loss  0.868849, Time  0.370802
2021-09-10 11:40:48.832631 : Epoch 10, Batch   1369, Loss  0.866731, Average Loss  0.868915, Time  0.358700
2021-09-10 11:40:50.630762 : Epoch 10, Batch   1370, Loss  0.846135, Average Loss  0.868764, Time  0.379165
2021-09-10 11:40:52.388091 : Epoch 10, Batch   1371, Loss  0.840191, Average Loss  0.868589, Time  0.357432
2021-09-10 11:40:54.191209 : Epoch 10, Batch   1372, Loss  0.879575, Average Loss  0.868806, Time  0.380932
2021-09-10 11:40:55.978107 : Epoch 10, Batch   1373, Loss  0.876807, Average Loss  0.868815, Time  0.365282
2021-09-10 11:40:57.768236 : Epoch 10, Batch   1374, Loss  0.857895, Average Loss  0.868709, Time  0.376756
2021-09-10 11:40:59.552107 : Epoch 10, Batch   1375, Loss  0.841057, Average Loss  0.868408, Time  0.357753
2021-09-10 11:41:01.365100 : Epoch 10, Batch   1376, Loss  0.876871, Average Loss  0.868545, Time  0.375556
2021-09-10 11:41:03.155104 : Epoch 10, Batch   1377, Loss  0.875783, Average Loss  0.868546, Time  0.360982
2021-09-10 11:41:04.966761 : Epoch 10, Batch   1378, Loss  0.850366, Average Loss  0.868475, Time  0.376436
2021-09-10 11:41:06.745095 : Epoch 10, Batch   1379, Loss  0.895643, Average Loss  0.868421, Time  0.370251
2021-09-10 11:41:08.557100 : Epoch 10, Batch   1380, Loss  0.859823, Average Loss  0.868447, Time  0.365106
2021-09-10 11:41:10.348883 : Epoch 10, Batch   1381, Loss  0.846809, Average Loss  0.868365, Time  0.359508
2021-09-10 11:41:12.125776 : Epoch 10, Batch   1382, Loss  0.875585, Average Loss  0.868411, Time  0.368534
2021-09-10 11:41:13.919835 : Epoch 10, Batch   1383, Loss  0.836960, Average Loss  0.868202, Time  0.375399
2021-09-10 11:41:15.704819 : Epoch 10, Batch   1384, Loss  0.868304, Average Loss  0.868303, Time  0.369641
2021-09-10 11:41:17.513915 : Epoch 10, Batch   1385, Loss  0.855024, Average Loss  0.868300, Time  0.358678
2021-09-10 11:41:19.348759 : Epoch 10, Batch   1386, Loss  0.901194, Average Loss  0.868512, Time  0.378690
2021-09-10 11:41:21.137117 : Epoch 10, Batch   1387, Loss  0.892350, Average Loss  0.868585, Time  0.367138
2021-09-10 11:41:22.960767 : Epoch 10, Batch   1388, Loss  0.886684, Average Loss  0.868500, Time  0.364576
2021-09-10 11:41:24.754763 : Epoch 10, Batch   1389, Loss  0.868069, Average Loss  0.868612, Time  0.370026
2021-09-10 11:41:26.546771 : Epoch 10, Batch   1390, Loss  0.872167, Average Loss  0.868737, Time  0.372380
2021-09-10 11:41:28.314454 : Epoch 10, Batch   1391, Loss  0.879073, Average Loss  0.868834, Time  0.358987
2021-09-10 11:41:30.105763 : Epoch 10, Batch   1392, Loss  0.880671, Average Loss  0.868821, Time  0.385960
2021-09-10 11:41:31.910117 : Epoch 10, Batch   1393, Loss  0.883168, Average Loss  0.869067, Time  0.364706
2021-09-10 11:41:33.683777 : Epoch 10, Batch   1394, Loss  0.845883, Average Loss  0.869044, Time  0.369805
2021-09-10 11:41:35.450225 : Epoch 10, Batch   1395, Loss  0.868303, Average Loss  0.869098, Time  0.362000
2021-09-10 11:41:37.233090 : Epoch 10, Batch   1396, Loss  0.879852, Average Loss  0.869201, Time  0.373780
2021-09-10 11:41:39.012441 : Epoch 10, Batch   1397, Loss  0.851051, Average Loss  0.869202, Time  0.371054
2021-09-10 11:41:40.826366 : Epoch 10, Batch   1398, Loss  0.848964, Average Loss  0.869173, Time  0.369717
2021-09-10 11:41:42.611634 : Epoch 10, Batch   1399, Loss  0.850962, Average Loss  0.869044, Time  0.364860
2021-09-10 11:41:44.394770 : Epoch 10, Batch   1400, Loss  0.880633, Average Loss  0.869100, Time  0.380058
2021-09-10 11:41:46.158174 : Epoch 10, Batch   1401, Loss  0.885106, Average Loss  0.869250, Time  0.359854
2021-09-10 11:46:36.461722 : CheckPoint: Validation Loss  0.00061827, Best Loss  0.00056427
2021-09-10 11:46:38.303099 : Epoch 10, Batch   1402, Loss  0.823306, Average Loss  0.868981, Time  0.412637
2021-09-10 11:46:40.080779 : Epoch 10, Batch   1403, Loss  0.869439, Average Loss  0.869125, Time  0.357409
2021-09-10 11:46:41.927193 : Epoch 10, Batch   1404, Loss  0.870763, Average Loss  0.868951, Time  0.420144
2021-09-10 11:46:43.727776 : Epoch 10, Batch   1405, Loss  0.880004, Average Loss  0.869051, Time  0.358158
2021-09-10 11:46:45.563778 : Epoch 10, Batch   1406, Loss  0.906241, Average Loss  0.869161, Time  0.409554
2021-09-10 11:46:47.370771 : Epoch 10, Batch   1407, Loss  0.844129, Average Loss  0.869154, Time  0.364377
2021-09-10 11:46:49.182956 : Epoch 10, Batch   1408, Loss  0.855453, Average Loss  0.869115, Time  0.377806
2021-09-10 11:46:50.958482 : Epoch 10, Batch   1409, Loss  0.865598, Average Loss  0.869120, Time  0.358597
2021-09-10 11:46:52.763205 : Epoch 10, Batch   1410, Loss  0.877523, Average Loss  0.869345, Time  0.368340
2021-09-10 11:46:54.545114 : Epoch 10, Batch   1411, Loss  0.880907, Average Loss  0.869310, Time  0.361182
2021-09-10 11:46:56.346225 : Epoch 10, Batch   1412, Loss  0.900204, Average Loss  0.869382, Time  0.377478
2021-09-10 11:46:58.160847 : Epoch 10, Batch   1413, Loss  0.863049, Average Loss  0.869305, Time  0.362867
2021-09-10 11:46:59.977124 : Epoch 10, Batch   1414, Loss  0.886428, Average Loss  0.869574, Time  0.369034
2021-09-10 11:47:01.793102 : Epoch 10, Batch   1415, Loss  0.861258, Average Loss  0.869595, Time  0.364034
2021-09-10 11:47:03.621886 : Epoch 10, Batch   1416, Loss  0.827416, Average Loss  0.869407, Time  0.364099
2021-09-10 11:47:05.409255 : Epoch 10, Batch   1417, Loss  0.855450, Average Loss  0.869172, Time  0.365155
2021-09-10 11:47:07.192127 : Epoch 10, Batch   1418, Loss  0.865511, Average Loss  0.869094, Time  0.373131
2021-09-10 11:47:08.975919 : Epoch 10, Batch   1419, Loss  0.851193, Average Loss  0.869022, Time  0.357764
2021-09-10 11:47:10.753220 : Epoch 10, Batch   1420, Loss  0.852847, Average Loss  0.868749, Time  0.362017
2021-09-10 11:47:12.567249 : Epoch 10, Batch   1421, Loss  0.887766, Average Loss  0.868793, Time  0.409106
2021-09-10 11:47:14.343230 : Epoch 10, Batch   1422, Loss  0.905813, Average Loss  0.869056, Time  0.356752
2021-09-10 11:47:16.162267 : Epoch 10, Batch   1423, Loss  0.889117, Average Loss  0.869202, Time  0.407257
2021-09-10 11:47:17.973785 : Epoch 10, Batch   1424, Loss  0.856062, Average Loss  0.869219, Time  0.403153
2021-09-10 11:47:19.756210 : Epoch 10, Batch   1425, Loss  0.850262, Average Loss  0.869003, Time  0.356872
2021-09-10 11:47:21.589092 : Epoch 10, Batch   1426, Loss  0.857659, Average Loss  0.868936, Time  0.412638
2021-09-10 11:47:23.445782 : Epoch 10, Batch   1427, Loss  0.875813, Average Loss  0.869021, Time  0.406588
2021-09-10 11:47:25.221546 : Epoch 10, Batch   1428, Loss  0.861507, Average Loss  0.869226, Time  0.360144
2021-09-10 11:47:27.045014 : Epoch 10, Batch   1429, Loss  0.892432, Average Loss  0.869368, Time  0.412333
2021-09-10 11:47:28.824017 : Epoch 10, Batch   1430, Loss  0.874484, Average Loss  0.869536, Time  0.357995
2021-09-10 11:47:30.638778 : Epoch 10, Batch   1431, Loss  0.856780, Average Loss  0.869522, Time  0.389728
2021-09-10 11:47:32.413836 : Epoch 10, Batch   1432, Loss  0.911809, Average Loss  0.869686, Time  0.361310
2021-09-10 11:47:34.244129 : Epoch 10, Batch   1433, Loss  0.890666, Average Loss  0.869779, Time  0.373031
2021-09-10 11:47:36.153856 : Epoch 10, Batch   1434, Loss  0.882295, Average Loss  0.869852, Time  0.468672
2021-09-10 11:47:37.922448 : Epoch 10, Batch   1435, Loss  0.857685, Average Loss  0.869687, Time  0.357330
2021-09-10 11:47:39.693045 : Epoch 10, Batch   1436, Loss  0.866661, Average Loss  0.869622, Time  0.353994
2021-09-10 11:47:41.538102 : Epoch 10, Batch   1437, Loss  0.894861, Average Loss  0.869661, Time  0.395335
2021-09-10 11:47:43.412029 : Epoch 10, Batch   1438, Loss  0.896593, Average Loss  0.869910, Time  0.452986
2021-09-10 11:47:45.194139 : Epoch 10, Batch   1439, Loss  0.890437, Average Loss  0.870177, Time  0.360530
2021-09-10 11:47:46.975226 : Epoch 10, Batch   1440, Loss  0.876735, Average Loss  0.870270, Time  0.364545
2021-09-10 11:47:48.784096 : Epoch 10, Batch   1441, Loss  0.856387, Average Loss  0.870153, Time  0.403513
2021-09-10 11:47:50.681843 : Epoch 10, Batch   1442, Loss  0.838528, Average Loss  0.870093, Time  0.453661
2021-09-10 11:47:52.475942 : Epoch 10, Batch   1443, Loss  0.900497, Average Loss  0.870235, Time  0.372875
2021-09-10 11:47:54.265223 : Epoch 10, Batch   1444, Loss  0.907502, Average Loss  0.870304, Time  0.367047
2021-09-10 11:47:56.086850 : Epoch 10, Batch   1445, Loss  0.870363, Average Loss  0.870208, Time  0.387116
2021-09-10 11:47:57.974229 : Epoch 10, Batch   1446, Loss  0.897167, Average Loss  0.870339, Time  0.459584
2021-09-10 11:47:59.795429 : Epoch 10, Batch   1447, Loss  0.872139, Average Loss  0.870330, Time  0.386529
2021-09-10 11:48:01.587231 : Epoch 10, Batch   1448, Loss  0.834041, Average Loss  0.870188, Time  0.359265
2021-09-10 11:48:03.379881 : Epoch 10, Batch   1449, Loss  0.865366, Average Loss  0.870111, Time  0.356702
2021-09-10 11:48:05.284830 : Epoch 10, Batch   1450, Loss  0.884711, Average Loss  0.870105, Time  0.450308
2021-09-10 11:48:07.172934 : Epoch 10, Batch   1451, Loss  0.849939, Average Loss  0.869887, Time  0.457978
2021-09-10 11:48:08.958218 : Epoch 10, Batch   1452, Loss  0.889840, Average Loss  0.869877, Time  0.361418
2021-09-10 11:48:10.733210 : Epoch 10, Batch   1453, Loss  0.860998, Average Loss  0.869836, Time  0.361655
2021-09-10 11:48:12.556238 : Epoch 10, Batch   1454, Loss  0.871884, Average Loss  0.869751, Time  0.408590
2021-09-10 11:48:14.431110 : Epoch 10, Batch   1455, Loss  0.877566, Average Loss  0.869620, Time  0.452815
2021-09-10 11:48:16.221235 : Epoch 10, Batch   1456, Loss  0.874387, Average Loss  0.869543, Time  0.364126
2021-09-10 11:48:18.017117 : Epoch 10, Batch   1457, Loss  0.859705, Average Loss  0.869625, Time  0.355899
2021-09-10 11:48:19.824111 : Epoch 10, Batch   1458, Loss  0.862781, Average Loss  0.869643, Time  0.383696
2021-09-10 11:48:21.696995 : Epoch 10, Batch   1459, Loss  0.856675, Average Loss  0.869544, Time  0.450915
2021-09-10 11:48:23.492652 : Epoch 10, Batch   1460, Loss  0.863491, Average Loss  0.869531, Time  0.359718
2021-09-10 11:48:25.286825 : Epoch 10, Batch   1461, Loss  0.868387, Average Loss  0.869502, Time  0.358416
2021-09-10 11:48:27.110683 : Epoch 10, Batch   1462, Loss  0.866727, Average Loss  0.869460, Time  0.397800
2021-09-10 11:48:29.001112 : Epoch 10, Batch   1463, Loss  0.858994, Average Loss  0.869316, Time  0.457806
2021-09-10 11:48:30.769145 : Epoch 10, Batch   1464, Loss  0.878268, Average Loss  0.869401, Time  0.356721
2021-09-10 11:48:32.535355 : Epoch 10, Batch   1465, Loss  0.846313, Average Loss  0.869417, Time  0.358467
2021-09-10 11:48:34.339879 : Epoch 10, Batch   1466, Loss  0.866925, Average Loss  0.869376, Time  0.396801
2021-09-10 11:48:36.234117 : Epoch 10, Batch   1467, Loss  0.867980, Average Loss  0.869208, Time  0.454465
2021-09-10 11:48:38.033475 : Epoch 10, Batch   1468, Loss  0.888930, Average Loss  0.869299, Time  0.352290
2021-09-10 11:48:39.819813 : Epoch 10, Batch   1469, Loss  0.852614, Average Loss  0.869212, Time  0.363000
2021-09-10 11:48:41.596774 : Epoch 10, Batch   1470, Loss  0.848134, Average Loss  0.869089, Time  0.366435
2021-09-10 11:48:43.463799 : Epoch 10, Batch   1471, Loss  0.868406, Average Loss  0.869025, Time  0.458784
2021-09-10 11:48:45.235247 : Epoch 10, Batch   1472, Loss  0.870969, Average Loss  0.868991, Time  0.360734
2021-09-10 11:48:47.014112 : Epoch 10, Batch   1473, Loss  0.859534, Average Loss  0.868835, Time  0.357999
2021-09-10 11:48:48.824905 : Epoch 10, Batch   1474, Loss  0.885842, Average Loss  0.868966, Time  0.388176
2021-09-10 11:48:50.724104 : Epoch 10, Batch   1475, Loss  0.862688, Average Loss  0.868887, Time  0.470635
2021-09-10 11:48:52.507840 : Epoch 10, Batch   1476, Loss  0.842610, Average Loss  0.868736, Time  0.359653
2021-09-10 11:48:54.283092 : Epoch 10, Batch   1477, Loss  0.855125, Average Loss  0.868642, Time  0.357746
2021-09-10 11:48:56.102829 : Epoch 10, Batch   1478, Loss  0.836853, Average Loss  0.868671, Time  0.386427
2021-09-10 11:48:57.975271 : Epoch 10, Batch   1479, Loss  0.869789, Average Loss  0.868657, Time  0.453768
2021-09-10 11:48:59.749237 : Epoch 10, Batch   1480, Loss  0.869473, Average Loss  0.868678, Time  0.362550
2021-09-10 11:49:01.532771 : Epoch 10, Batch   1481, Loss  0.859552, Average Loss  0.868720, Time  0.368116
2021-09-10 11:49:03.339836 : Epoch 10, Batch   1482, Loss  0.847879, Average Loss  0.868638, Time  0.388099
2021-09-10 11:49:05.276829 : Epoch 10, Batch   1483, Loss  0.847316, Average Loss  0.868517, Time  0.463558
2021-09-10 11:49:07.081230 : Epoch 10, Batch   1484, Loss  0.891089, Average Loss  0.868750, Time  0.373760
2021-09-10 11:49:08.870790 : Epoch 10, Batch   1485, Loss  0.859586, Average Loss  0.868693, Time  0.363464
2021-09-10 11:49:10.645911 : Epoch 10, Batch   1486, Loss  0.844724, Average Loss  0.868483, Time  0.355821
2021-09-10 11:49:12.526146 : Epoch 10, Batch   1487, Loss  0.888632, Average Loss  0.868661, Time  0.456976
2021-09-10 11:49:14.392221 : Epoch 10, Batch   1488, Loss  0.862439, Average Loss  0.868703, Time  0.447263
2021-09-10 11:49:16.166784 : Epoch 10, Batch   1489, Loss  0.853258, Average Loss  0.868489, Time  0.348002
2021-09-10 11:49:17.976815 : Epoch 10, Batch   1490, Loss  0.833014, Average Loss  0.868279, Time  0.361449
2021-09-10 11:49:19.825937 : Epoch 10, Batch   1491, Loss  0.872464, Average Loss  0.868350, Time  0.407196
2021-09-10 11:49:21.735105 : Epoch 10, Batch   1492, Loss  0.900878, Average Loss  0.868679, Time  0.460118
2021-09-10 11:49:23.560233 : Epoch 10, Batch   1493, Loss  0.897729, Average Loss  0.868828, Time  0.375896
2021-09-10 11:49:25.356773 : Epoch 10, Batch   1494, Loss  0.878000, Average Loss  0.868842, Time  0.363725
2021-09-10 11:49:27.160221 : Epoch 10, Batch   1495, Loss  0.881391, Average Loss  0.868943, Time  0.363783
2021-09-10 11:49:29.041131 : Epoch 10, Batch   1496, Loss  0.848833, Average Loss  0.868885, Time  0.454068
2021-09-10 11:49:30.803844 : Epoch 10, Batch   1497, Loss  0.870864, Average Loss  0.869022, Time  0.353017
2021-09-10 11:49:32.583776 : Epoch 10, Batch   1498, Loss  0.882819, Average Loss  0.868985, Time  0.367033
2021-09-10 11:49:34.411790 : Epoch 10, Batch   1499, Loss  0.851876, Average Loss  0.868925, Time  0.387088
2021-09-10 11:49:36.329038 : Epoch 10, Batch   1500, Loss  0.885610, Average Loss  0.869029, Time  0.457606
2021-09-10 11:49:38.205997 : Epoch 10, Batch   1501, Loss  0.909170, Average Loss  0.869063, Time  0.406554
2021-09-10 11:54:29.026719 : CheckPoint: Validation Loss  0.00061115, Best Loss  0.00056427
2021-09-10 11:54:30.861000 : Epoch 10, Batch   1502, Loss  0.875538, Average Loss  0.869079, Time  0.406559
2021-09-10 11:54:32.743780 : Epoch 10, Batch   1503, Loss  0.863848, Average Loss  0.869135, Time  0.449399
2021-09-10 11:54:34.549780 : Epoch 10, Batch   1504, Loss  0.854494, Average Loss  0.869078, Time  0.356014
2021-09-10 11:54:36.356056 : Epoch 10, Batch   1505, Loss  0.883286, Average Loss  0.869055, Time  0.357295
2021-09-10 11:54:38.191760 : Epoch 10, Batch   1506, Loss  0.848457, Average Loss  0.868884, Time  0.369896
2021-09-10 11:54:40.088835 : Epoch 10, Batch   1507, Loss  0.875407, Average Loss  0.868854, Time  0.450493
2021-09-10 11:54:41.876784 : Epoch 10, Batch   1508, Loss  0.879658, Average Loss  0.868863, Time  0.350439
2021-09-10 11:54:43.694830 : Epoch 10, Batch   1509, Loss  0.872178, Average Loss  0.869024, Time  0.363799
2021-09-10 11:54:45.475763 : Epoch 10, Batch   1510, Loss  0.861786, Average Loss  0.869019, Time  0.356655
2021-09-10 11:54:47.358807 : Epoch 10, Batch   1511, Loss  0.875259, Average Loss  0.868996, Time  0.451211
2021-09-10 11:54:49.172110 : Epoch 10, Batch   1512, Loss  0.873839, Average Loss  0.868889, Time  0.350310
2021-09-10 11:54:50.949226 : Epoch 10, Batch   1513, Loss  0.888375, Average Loss  0.868998, Time  0.361737
2021-09-10 11:54:52.720850 : Epoch 10, Batch   1514, Loss  0.864594, Average Loss  0.868785, Time  0.354717
2021-09-10 11:54:54.612805 : Epoch 10, Batch   1515, Loss  0.860823, Average Loss  0.868678, Time  0.453222
2021-09-10 11:54:56.424777 : Epoch 10, Batch   1516, Loss  0.876987, Average Loss  0.868697, Time  0.382663
2021-09-10 11:54:58.234162 : Epoch 10, Batch   1517, Loss  0.874845, Average Loss  0.868941, Time  0.357800
2021-09-10 11:55:00.024703 : Epoch 10, Batch   1518, Loss  0.867374, Average Loss  0.868905, Time  0.360544
2021-09-10 11:55:01.895880 : Epoch 10, Batch   1519, Loss  0.841096, Average Loss  0.868755, Time  0.459723
2021-09-10 11:55:03.789947 : Epoch 10, Batch   1520, Loss  0.886640, Average Loss  0.868761, Time  0.463011
2021-09-10 11:55:05.575774 : Epoch 10, Batch   1521, Loss  0.852245, Average Loss  0.868646, Time  0.357898
2021-09-10 11:55:07.362221 : Epoch 10, Batch   1522, Loss  0.879691, Average Loss  0.868814, Time  0.356622
2021-09-10 11:55:09.183866 : Epoch 10, Batch   1523, Loss  0.851316, Average Loss  0.868650, Time  0.391907
2021-09-10 11:55:11.072007 : Epoch 10, Batch   1524, Loss  0.838591, Average Loss  0.868405, Time  0.451085
2021-09-10 11:55:12.861940 : Epoch 10, Batch   1525, Loss  0.883937, Average Loss  0.868489, Time  0.363283
2021-09-10 11:55:14.636224 : Epoch 10, Batch   1526, Loss  0.833458, Average Loss  0.868258, Time  0.365234
2021-09-10 11:55:16.436093 : Epoch 10, Batch   1527, Loss  0.839200, Average Loss  0.868063, Time  0.365354
2021-09-10 11:55:18.346828 : Epoch 10, Batch   1528, Loss  0.883603, Average Loss  0.868076, Time  0.472468
2021-09-10 11:55:20.120850 : Epoch 10, Batch   1529, Loss  0.860211, Average Loss  0.867883, Time  0.344829
2021-09-10 11:55:21.917914 : Epoch 10, Batch   1530, Loss  0.858963, Average Loss  0.867847, Time  0.359181
2021-09-10 11:55:23.706841 : Epoch 10, Batch   1531, Loss  0.893013, Average Loss  0.867921, Time  0.355726
2021-09-10 11:55:25.591874 : Epoch 10, Batch   1532, Loss  0.877100, Average Loss  0.867899, Time  0.456641
2021-09-10 11:55:27.484845 : Epoch 10, Batch   1533, Loss  0.880252, Average Loss  0.867907, Time  0.437847
2021-09-10 11:55:29.302951 : Epoch 10, Batch   1534, Loss  0.865162, Average Loss  0.867765, Time  0.358343
2021-09-10 11:55:31.109046 : Epoch 10, Batch   1535, Loss  0.926087, Average Loss  0.868223, Time  0.355895
2021-09-10 11:55:32.972080 : Epoch 10, Batch   1536, Loss  0.884525, Average Loss  0.868241, Time  0.405793
2021-09-10 11:55:34.890814 : Epoch 10, Batch   1537, Loss  0.887686, Average Loss  0.868401, Time  0.451870
2021-09-10 11:55:36.707889 : Epoch 10, Batch   1538, Loss  0.873946, Average Loss  0.868452, Time  0.391375
2021-09-10 11:55:38.507786 : Epoch 10, Batch   1539, Loss  0.886860, Average Loss  0.868380, Time  0.357364
2021-09-10 11:55:40.316811 : Epoch 10, Batch   1540, Loss  0.862765, Average Loss  0.868380, Time  0.357109
2021-09-10 11:55:42.205930 : Epoch 10, Batch   1541, Loss  0.884035, Average Loss  0.868362, Time  0.439742
2021-09-10 11:55:44.104099 : Epoch 10, Batch   1542, Loss  0.849977, Average Loss  0.868282, Time  0.448953
2021-09-10 11:55:45.906084 : Epoch 10, Batch   1543, Loss  0.866392, Average Loss  0.868242, Time  0.356093
2021-09-10 11:55:47.721150 : Epoch 10, Batch   1544, Loss  0.869925, Average Loss  0.868221, Time  0.357191
2021-09-10 11:55:49.530780 : Epoch 10, Batch   1545, Loss  0.875352, Average Loss  0.868416, Time  0.377046
2021-09-10 11:55:51.416863 : Epoch 10, Batch   1546, Loss  0.880043, Average Loss  0.868332, Time  0.451524
2021-09-10 11:55:53.201836 : Epoch 10, Batch   1547, Loss  0.875021, Average Loss  0.868349, Time  0.351117
2021-09-10 11:55:54.971803 : Epoch 10, Batch   1548, Loss  0.831976, Average Loss  0.868056, Time  0.355733
2021-09-10 11:55:56.782083 : Epoch 10, Batch   1549, Loss  0.867166, Average Loss  0.867994, Time  0.355275
2021-09-10 11:55:58.681178 : Epoch 10, Batch   1550, Loss  0.875222, Average Loss  0.868010, Time  0.450399
2021-09-10 11:56:00.518187 : Epoch 10, Batch   1551, Loss  0.908069, Average Loss  0.868253, Time  0.407579
2021-09-10 11:56:02.306775 : Epoch 10, Batch   1552, Loss  0.879118, Average Loss  0.868320, Time  0.357645
2021-09-10 11:56:04.101840 : Epoch 10, Batch   1553, Loss  0.857858, Average Loss  0.868340, Time  0.355211
2021-09-10 11:56:05.987959 : Epoch 10, Batch   1554, Loss  0.838363, Average Loss  0.868326, Time  0.427989
2021-09-10 11:56:07.877930 : Epoch 10, Batch   1555, Loss  0.856164, Average Loss  0.868203, Time  0.451126
2021-09-10 11:56:09.680775 : Epoch 10, Batch   1556, Loss  0.856942, Average Loss  0.868193, Time  0.356464
2021-09-10 11:56:11.495186 : Epoch 10, Batch   1557, Loss  0.874787, Average Loss  0.868348, Time  0.357190
2021-09-10 11:56:13.320160 : Epoch 10, Batch   1558, Loss  0.859132, Average Loss  0.868394, Time  0.361697
2021-09-10 11:56:15.173781 : Epoch 10, Batch   1559, Loss  0.831135, Average Loss  0.868119, Time  0.451621
2021-09-10 11:56:16.964274 : Epoch 10, Batch   1560, Loss  0.852244, Average Loss  0.868119, Time  0.356070
2021-09-10 11:56:18.748775 : Epoch 10, Batch   1561, Loss  0.893643, Average Loss  0.868220, Time  0.357440
2021-09-10 11:56:20.535183 : Epoch 10, Batch   1562, Loss  0.863489, Average Loss  0.868262, Time  0.361392
2021-09-10 11:56:22.417076 : Epoch 10, Batch   1563, Loss  0.849491, Average Loss  0.868249, Time  0.450960
2021-09-10 11:56:24.223172 : Epoch 10, Batch   1564, Loss  0.842783, Average Loss  0.868069, Time  0.355033
2021-09-10 11:56:26.027775 : Epoch 10, Batch   1565, Loss  0.900657, Average Loss  0.868303, Time  0.357077
2021-09-10 11:56:27.821178 : Epoch 10, Batch   1566, Loss  0.888180, Average Loss  0.868633, Time  0.360005
2021-09-10 11:56:29.755026 : Epoch 10, Batch   1567, Loss  0.841047, Average Loss  0.868606, Time  0.450739
2021-09-10 11:56:31.629767 : Epoch 10, Batch   1568, Loss  0.877305, Average Loss  0.868751, Time  0.412731
2021-09-10 11:56:33.424153 : Epoch 10, Batch   1569, Loss  0.847549, Average Loss  0.868655, Time  0.356208
2021-09-10 11:56:35.220761 : Epoch 10, Batch   1570, Loss  0.869649, Average Loss  0.868772, Time  0.355110
2021-09-10 11:56:37.101917 : Epoch 10, Batch   1571, Loss  0.844910, Average Loss  0.868796, Time  0.432811
2021-09-10 11:56:38.987086 : Epoch 10, Batch   1572, Loss  0.855176, Average Loss  0.868674, Time  0.451964
2021-09-10 11:56:40.797845 : Epoch 10, Batch   1573, Loss  0.869720, Average Loss  0.868638, Time  0.356833
2021-09-10 11:56:42.586084 : Epoch 10, Batch   1574, Loss  0.894000, Average Loss  0.868819, Time  0.357625
2021-09-10 11:56:44.395834 : Epoch 10, Batch   1575, Loss  0.845950, Average Loss  0.868843, Time  0.363024
2021-09-10 11:56:46.316073 : Epoch 10, Batch   1576, Loss  0.881309, Average Loss  0.868866, Time  0.454926
2021-09-10 11:56:48.186814 : Epoch 10, Batch   1577, Loss  0.896337, Average Loss  0.868968, Time  0.420949
2021-09-10 11:56:49.993088 : Epoch 10, Batch   1578, Loss  0.857678, Average Loss  0.869005, Time  0.357369
2021-09-10 11:56:51.794924 : Epoch 10, Batch   1579, Loss  0.878366, Average Loss  0.868918, Time  0.356846
2021-09-10 11:56:53.656765 : Epoch 10, Batch   1580, Loss  0.903186, Average Loss  0.869135, Time  0.416893
2021-09-10 11:56:55.532173 : Epoch 10, Batch   1581, Loss  0.903944, Average Loss  0.869421, Time  0.449682
2021-09-10 11:56:57.326079 : Epoch 10, Batch   1582, Loss  0.900217, Average Loss  0.869544, Time  0.356342
2021-09-10 11:56:59.105109 : Epoch 10, Batch   1583, Loss  0.864743, Average Loss  0.869683, Time  0.363905
2021-09-10 11:57:00.927772 : Epoch 10, Batch   1584, Loss  0.833891, Average Loss  0.869511, Time  0.391279
2021-09-10 11:57:02.819940 : Epoch 10, Batch   1585, Loss  0.879811, Average Loss  0.869635, Time  0.456070
2021-09-10 11:57:04.606218 : Epoch 10, Batch   1586, Loss  0.861335, Average Loss  0.869436, Time  0.372648
2021-09-10 11:57:06.408240 : Epoch 10, Batch   1587, Loss  0.851801, Average Loss  0.869233, Time  0.367132
2021-09-10 11:57:08.220770 : Epoch 10, Batch   1588, Loss  0.888284, Average Loss  0.869241, Time  0.377020
2021-09-10 11:57:10.100148 : Epoch 10, Batch   1589, Loss  0.876950, Average Loss  0.869285, Time  0.458388
2021-09-10 11:57:11.873765 : Epoch 10, Batch   1590, Loss  0.884347, Average Loss  0.869346, Time  0.355963
2021-09-10 11:57:13.686073 : Epoch 10, Batch   1591, Loss  0.870462, Average Loss  0.869303, Time  0.359287
2021-09-10 11:57:15.497789 : Epoch 10, Batch   1592, Loss  0.848141, Average Loss  0.869140, Time  0.370307
2021-09-10 11:57:17.388431 : Epoch 10, Batch   1593, Loss  0.886229, Average Loss  0.869156, Time  0.450722
2021-09-10 11:57:19.157778 : Epoch 10, Batch   1594, Loss  0.908790, Average Loss  0.869470, Time  0.358158
2021-09-10 11:57:20.943225 : Epoch 10, Batch   1595, Loss  0.883921, Average Loss  0.869548, Time  0.364857
2021-09-10 11:57:22.743939 : Epoch 10, Batch   1596, Loss  0.838890, Average Loss  0.869344, Time  0.373277
2021-09-10 11:57:24.627100 : Epoch 10, Batch   1597, Loss  0.886973, Average Loss  0.869523, Time  0.466033
2021-09-10 11:57:26.414813 : Epoch 10, Batch   1598, Loss  0.854661, Average Loss  0.869552, Time  0.362609
2021-09-10 11:57:28.194192 : Epoch 10, Batch   1599, Loss  0.865294, Average Loss  0.869623, Time  0.356679
2021-09-10 11:57:30.073769 : Epoch 10, Batch   1600, Loss  0.865481, Average Loss  0.869548, Time  0.369648
2021-09-10 11:57:37.375817 : Epoch 10, Batch   1601, Loss  0.912007, Average Loss  0.869682, Time  0.366457
2021-09-10 12:02:27.240707 : CheckPoint: Validation Loss  0.00060805, Best Loss  0.00056427
2021-09-10 12:02:29.039772 : Epoch 10, Batch   1602, Loss  0.848171, Average Loss  0.869806, Time  0.357615
2021-09-10 12:02:30.835800 : Epoch 10, Batch   1603, Loss  0.851995, Average Loss  0.869719, Time  0.365699
2021-09-10 12:02:32.665770 : Epoch 10, Batch   1604, Loss  0.892314, Average Loss  0.869827, Time  0.399176
2021-09-10 12:02:34.556817 : Epoch 10, Batch   1605, Loss  0.862652, Average Loss  0.869740, Time  0.474566
2021-09-10 12:02:36.333980 : Epoch 10, Batch   1606, Loss  0.867955, Average Loss  0.869549, Time  0.355738
2021-09-10 12:02:38.125767 : Epoch 10, Batch   1607, Loss  0.879255, Average Loss  0.869724, Time  0.355626
2021-09-10 12:02:39.941068 : Epoch 10, Batch   1608, Loss  0.849019, Average Loss  0.869692, Time  0.375170
2021-09-10 12:02:41.840818 : Epoch 10, Batch   1609, Loss  0.849325, Average Loss  0.869611, Time  0.454497
2021-09-10 12:02:43.674767 : Epoch 10, Batch   1610, Loss  0.832733, Average Loss  0.869387, Time  0.393198
2021-09-10 12:02:45.465762 : Epoch 10, Batch   1611, Loss  0.905020, Average Loss  0.869507, Time  0.358605
2021-09-10 12:02:47.285773 : Epoch 10, Batch   1612, Loss  0.875502, Average Loss  0.869384, Time  0.374968
2021-09-10 12:02:49.171782 : Epoch 10, Batch   1613, Loss  0.902337, Average Loss  0.869580, Time  0.444332
2021-09-10 12:02:51.080079 : Epoch 10, Batch   1614, Loss  0.873529, Average Loss  0.869516, Time  0.453591
2021-09-10 12:02:52.901067 : Epoch 10, Batch   1615, Loss  0.848271, Average Loss  0.869451, Time  0.357923
2021-09-10 12:02:54.721812 : Epoch 10, Batch   1616, Loss  0.887958, Average Loss  0.869754, Time  0.356812
2021-09-10 12:02:56.530778 : Epoch 10, Batch   1617, Loss  0.904383, Average Loss  0.869998, Time  0.359234
2021-09-10 12:02:58.450760 : Epoch 10, Batch   1618, Loss  0.870211, Average Loss  0.870022, Time  0.453346
2021-09-10 12:03:00.322765 : Epoch 10, Batch   1619, Loss  0.865253, Average Loss  0.870092, Time  0.413141
2021-09-10 12:03:02.102176 : Epoch 10, Batch   1620, Loss  0.851875, Average Loss  0.870087, Time  0.356086
2021-09-10 12:03:03.916915 : Epoch 10, Batch   1621, Loss  0.859704, Average Loss  0.869947, Time  0.355520
2021-09-10 12:03:05.822063 : Epoch 10, Batch   1622, Loss  0.856223, Average Loss  0.869699, Time  0.442460
2021-09-10 12:03:07.724834 : Epoch 10, Batch   1623, Loss  0.842433, Average Loss  0.869466, Time  0.464950
2021-09-10 12:03:09.510251 : Epoch 10, Batch   1624, Loss  0.871538, Average Loss  0.869543, Time  0.357483
2021-09-10 12:03:11.301158 : Epoch 10, Batch   1625, Loss  0.879452, Average Loss  0.869689, Time  0.356298
2021-09-10 12:03:13.166765 : Epoch 10, Batch   1626, Loss  0.891240, Average Loss  0.869857, Time  0.403713
2021-09-10 12:03:15.083164 : Epoch 10, Batch   1627, Loss  0.864384, Average Loss  0.869800, Time  0.450899
2021-09-10 12:03:16.931079 : Epoch 10, Batch   1628, Loss  0.889946, Average Loss  0.869942, Time  0.394999
2021-09-10 12:03:18.767080 : Epoch 10, Batch   1629, Loss  0.867670, Average Loss  0.869818, Time  0.359735
2021-09-10 12:03:20.551100 : Epoch 10, Batch   1630, Loss  0.884131, Average Loss  0.869866, Time  0.366780
2021-09-10 12:03:22.433099 : Epoch 10, Batch   1631, Loss  0.888023, Average Loss  0.870023, Time  0.446584
2021-09-10 12:03:24.339828 : Epoch 10, Batch   1632, Loss  0.879062, Average Loss  0.869859, Time  0.452168
2021-09-10 12:03:26.142307 : Epoch 10, Batch   1633, Loss  0.867719, Average Loss  0.869744, Time  0.357566
2021-09-10 12:03:27.981772 : Epoch 10, Batch   1634, Loss  0.877494, Average Loss  0.869720, Time  0.374428
2021-09-10 12:03:29.808872 : Epoch 10, Batch   1635, Loss  0.878347, Average Loss  0.869823, Time  0.388544
2021-09-10 12:03:31.701760 : Epoch 10, Batch   1636, Loss  0.825683, Average Loss  0.869618, Time  0.464651
2021-09-10 12:03:33.474168 : Epoch 10, Batch   1637, Loss  0.882113, Average Loss  0.869555, Time  0.344648
2021-09-10 12:03:35.279870 : Epoch 10, Batch   1638, Loss  0.873907, Average Loss  0.869441, Time  0.354861
2021-09-10 12:03:37.111101 : Epoch 10, Batch   1639, Loss  0.864420, Average Loss  0.869311, Time  0.355802
2021-09-10 12:03:38.989856 : Epoch 10, Batch   1640, Loss  0.856248, Average Loss  0.869209, Time  0.448288
2021-09-10 12:03:40.779038 : Epoch 10, Batch   1641, Loss  0.859615, Average Loss  0.869225, Time  0.355315
2021-09-10 12:03:42.582914 : Epoch 10, Batch   1642, Loss  0.873978, Average Loss  0.869402, Time  0.355833
2021-09-10 12:03:44.418811 : Epoch 10, Batch   1643, Loss  0.870667, Average Loss  0.869253, Time  0.390963
2021-09-10 12:03:46.320779 : Epoch 10, Batch   1644, Loss  0.887377, Average Loss  0.869152, Time  0.452984
2021-09-10 12:03:48.106884 : Epoch 10, Batch   1645, Loss  0.900715, Average Loss  0.869304, Time  0.357080
2021-09-10 12:03:49.872881 : Epoch 10, Batch   1646, Loss  0.865321, Average Loss  0.869145, Time  0.360502
2021-09-10 12:03:51.701774 : Epoch 10, Batch   1647, Loss  0.855793, Average Loss  0.869063, Time  0.394232
2021-09-10 12:03:53.606814 : Epoch 10, Batch   1648, Loss  0.839165, Average Loss  0.869089, Time  0.451245
2021-09-10 12:03:55.400784 : Epoch 10, Batch   1649, Loss  0.864640, Average Loss  0.869085, Time  0.355552
2021-09-10 12:03:57.219778 : Epoch 10, Batch   1650, Loss  0.857943, Average Loss  0.868951, Time  0.357282
2021-09-10 12:03:59.039779 : Epoch 10, Batch   1651, Loss  0.843213, Average Loss  0.868918, Time  0.357921
2021-09-10 12:04:00.946763 : Epoch 10, Batch   1652, Loss  0.885222, Average Loss  0.868895, Time  0.451756
2021-09-10 12:04:02.802158 : Epoch 10, Batch   1653, Loss  0.916696, Average Loss  0.869173, Time  0.390441
2021-09-10 12:04:04.627889 : Epoch 10, Batch   1654, Loss  0.858973, Average Loss  0.869109, Time  0.357446
2021-09-10 12:04:06.444060 : Epoch 10, Batch   1655, Loss  0.860213, Average Loss  0.869022, Time  0.357074
2021-09-10 12:04:08.335799 : Epoch 10, Batch   1656, Loss  0.873534, Average Loss  0.869018, Time  0.446419
2021-09-10 12:04:10.199774 : Epoch 10, Batch   1657, Loss  0.875132, Average Loss  0.869095, Time  0.438529
2021-09-10 12:04:11.972361 : Epoch 10, Batch   1658, Loss  0.840123, Average Loss  0.868981, Time  0.360968
2021-09-10 12:04:13.760761 : Epoch 10, Batch   1659, Loss  0.842866, Average Loss  0.868912, Time  0.368652
2021-09-10 12:04:15.606774 : Epoch 10, Batch   1660, Loss  0.878527, Average Loss  0.868988, Time  0.410466
2021-09-10 12:04:17.500774 : Epoch 10, Batch   1661, Loss  0.873988, Average Loss  0.869016, Time  0.450001
2021-09-10 12:04:19.290764 : Epoch 10, Batch   1662, Loss  0.881557, Average Loss  0.869090, Time  0.356511
2021-09-10 12:04:21.072764 : Epoch 10, Batch   1663, Loss  0.860725, Average Loss  0.869098, Time  0.357077
2021-09-10 12:04:22.885775 : Epoch 10, Batch   1664, Loss  0.857314, Average Loss  0.868994, Time  0.370331
2021-09-10 12:04:24.802761 : Epoch 10, Batch   1665, Loss  0.905292, Average Loss  0.869288, Time  0.465702
2021-09-10 12:04:26.666818 : Epoch 10, Batch   1666, Loss  0.865924, Average Loss  0.869283, Time  0.424595
2021-09-10 12:04:28.504812 : Epoch 10, Batch   1667, Loss  0.881939, Average Loss  0.869353, Time  0.368940
2021-09-10 12:04:30.288781 : Epoch 10, Batch   1668, Loss  0.885417, Average Loss  0.869336, Time  0.357764
2021-09-10 12:04:32.155761 : Epoch 10, Batch   1669, Loss  0.853440, Average Loss  0.869340, Time  0.415436
2021-09-10 12:04:34.055764 : Epoch 10, Batch   1670, Loss  0.852981, Average Loss  0.869364, Time  0.452610
2021-09-10 12:04:35.877855 : Epoch 10, Batch   1671, Loss  0.885792, Average Loss  0.869451, Time  0.372455
2021-09-10 12:04:37.678094 : Epoch 10, Batch   1672, Loss  0.895045, Average Loss  0.869571, Time  0.365253
2021-09-10 12:04:39.476777 : Epoch 10, Batch   1673, Loss  0.850500, Average Loss  0.869526, Time  0.360436
2021-09-10 12:04:41.380773 : Epoch 10, Batch   1674, Loss  0.858670, Average Loss  0.869390, Time  0.462365
2021-09-10 12:04:43.268780 : Epoch 10, Batch   1675, Loss  0.888768, Average Loss  0.869521, Time  0.452147
2021-09-10 12:04:45.052560 : Epoch 10, Batch   1676, Loss  0.882553, Average Loss  0.869720, Time  0.359347
2021-09-10 12:04:46.824765 : Epoch 10, Batch   1677, Loss  0.847741, Average Loss  0.869684, Time  0.357135
2021-09-10 12:04:48.674760 : Epoch 10, Batch   1678, Loss  0.865241, Average Loss  0.869825, Time  0.404799
2021-09-10 12:04:50.538777 : Epoch 10, Batch   1679, Loss  0.865656, Average Loss  0.869805, Time  0.451175
2021-09-10 12:04:52.340776 : Epoch 10, Batch   1680, Loss  0.862474, Average Loss  0.869770, Time  0.355736
2021-09-10 12:04:54.156778 : Epoch 10, Batch   1681, Loss  0.884376, Average Loss  0.869894, Time  0.356272
2021-09-10 12:04:55.973775 : Epoch 10, Batch   1682, Loss  0.866536, Average Loss  0.869987, Time  0.364688
2021-09-10 12:04:57.877074 : Epoch 10, Batch   1683, Loss  0.868002, Average Loss  0.870091, Time  0.452136
2021-09-10 12:04:59.671196 : Epoch 10, Batch   1684, Loss  0.846754, Average Loss  0.869869, Time  0.367319
2021-09-10 12:05:01.464844 : Epoch 10, Batch   1685, Loss  0.851888, Average Loss  0.869830, Time  0.356631
2021-09-10 12:05:03.243085 : Epoch 10, Batch   1686, Loss  0.875039, Average Loss  0.869982, Time  0.356551
2021-09-10 12:05:05.134211 : Epoch 10, Batch   1687, Loss  0.903146, Average Loss  0.870055, Time  0.451311
2021-09-10 12:05:07.019066 : Epoch 10, Batch   1688, Loss  0.857939, Average Loss  0.870032, Time  0.447352
2021-09-10 12:05:08.796100 : Epoch 10, Batch   1689, Loss  0.861470, Average Loss  0.870073, Time  0.370775
2021-09-10 12:05:10.576113 : Epoch 10, Batch   1690, Loss  0.876433, Average Loss  0.870290, Time  0.355735
2021-09-10 12:05:12.420776 : Epoch 10, Batch   1691, Loss  0.841957, Average Loss  0.870138, Time  0.431571
2021-09-10 12:05:14.280229 : Epoch 10, Batch   1692, Loss  0.859708, Average Loss  0.869932, Time  0.457793
2021-09-10 12:05:16.054885 : Epoch 10, Batch   1693, Loss  0.885103, Average Loss  0.869869, Time  0.361088
2021-09-10 12:05:17.853776 : Epoch 10, Batch   1694, Loss  0.905195, Average Loss  0.870005, Time  0.366072
2021-09-10 12:05:19.658106 : Epoch 10, Batch   1695, Loss  0.881038, Average Loss  0.870003, Time  0.398172
2021-09-10 12:05:21.539989 : Epoch 10, Batch   1696, Loss  0.876580, Average Loss  0.870142, Time  0.464742
2021-09-10 12:05:23.317772 : Epoch 10, Batch   1697, Loss  0.875381, Average Loss  0.870164, Time  0.362790
2021-09-10 12:05:25.092958 : Epoch 10, Batch   1698, Loss  0.844237, Average Loss  0.869971, Time  0.365336
2021-09-10 12:05:26.881971 : Epoch 10, Batch   1699, Loss  0.863459, Average Loss  0.870029, Time  0.373210
2021-09-10 12:05:28.782774 : Epoch 10, Batch   1700, Loss  0.847405, Average Loss  0.869838, Time  0.462904
2021-09-10 12:05:30.566893 : Epoch 10, Batch   1701, Loss  0.872060, Average Loss  0.869653, Time  0.342583
2021-09-10 12:10:21.370707 : CheckPoint: Validation Loss  0.00060378, Best Loss  0.00056427
2021-09-10 12:10:23.146354 : Epoch 10, Batch   1702, Loss  0.854033, Average Loss  0.869545, Time  0.365026
2021-09-10 12:10:24.985771 : Epoch 10, Batch   1703, Loss  0.839831, Average Loss  0.869425, Time  0.411115
2021-09-10 12:10:26.865781 : Epoch 10, Batch   1704, Loss  0.847263, Average Loss  0.869389, Time  0.456207
2021-09-10 12:10:28.657093 : Epoch 10, Batch   1705, Loss  0.893354, Average Loss  0.869439, Time  0.355871
2021-09-10 12:10:30.459870 : Epoch 10, Batch   1706, Loss  0.869085, Average Loss  0.869542, Time  0.360652
2021-09-10 12:10:32.256768 : Epoch 10, Batch   1707, Loss  0.840701, Average Loss  0.869369, Time  0.368711
2021-09-10 12:10:34.130119 : Epoch 10, Batch   1708, Loss  0.867808, Average Loss  0.869310, Time  0.458685
2021-09-10 12:10:35.924363 : Epoch 10, Batch   1709, Loss  0.859224, Average Loss  0.869245, Time  0.370151
2021-09-10 12:10:37.722766 : Epoch 10, Batch   1710, Loss  0.873446, Average Loss  0.869303, Time  0.355690
2021-09-10 12:10:39.507231 : Epoch 10, Batch   1711, Loss  0.859621, Average Loss  0.869225, Time  0.374727
2021-09-10 12:10:41.402221 : Epoch 10, Batch   1712, Loss  0.871936, Average Loss  0.869215, Time  0.461234
2021-09-10 12:10:43.205106 : Epoch 10, Batch   1713, Loss  0.848252, Average Loss  0.869015, Time  0.371450
2021-09-10 12:10:45.019774 : Epoch 10, Batch   1714, Loss  0.855460, Average Loss  0.868969, Time  0.366904
2021-09-10 12:10:46.784884 : Epoch 10, Batch   1715, Loss  0.856876, Average Loss  0.868949, Time  0.363656
2021-09-10 12:10:48.659102 : Epoch 10, Batch   1716, Loss  0.867192, Average Loss  0.868900, Time  0.453471
2021-09-10 12:10:50.521480 : Epoch 10, Batch   1717, Loss  0.856971, Average Loss  0.868811, Time  0.452451
2021-09-10 12:10:52.300118 : Epoch 10, Batch   1718, Loss  0.858076, Average Loss  0.868765, Time  0.361152
2021-09-10 12:10:54.085763 : Epoch 10, Batch   1719, Loss  0.859177, Average Loss  0.868855, Time  0.357441
2021-09-10 12:10:55.899510 : Epoch 10, Batch   1720, Loss  0.856617, Average Loss  0.868705, Time  0.413997
2021-09-10 12:10:57.762907 : Epoch 10, Batch   1721, Loss  0.878803, Average Loss  0.868838, Time  0.462867
2021-09-10 12:10:59.517106 : Epoch 10, Batch   1722, Loss  0.872443, Average Loss  0.868801, Time  0.362287
2021-09-10 12:11:01.280775 : Epoch 10, Batch   1723, Loss  0.891200, Average Loss  0.869001, Time  0.357519
2021-09-10 12:11:03.121813 : Epoch 10, Batch   1724, Loss  0.876470, Average Loss  0.869190, Time  0.409650
2021-09-10 12:11:05.003819 : Epoch 10, Batch   1725, Loss  0.848376, Average Loss  0.869012, Time  0.457072
2021-09-10 12:11:06.813775 : Epoch 10, Batch   1726, Loss  0.843280, Average Loss  0.869062, Time  0.376928
2021-09-10 12:11:08.602782 : Epoch 10, Batch   1727, Loss  0.862435, Average Loss  0.869178, Time  0.358440
2021-09-10 12:11:10.420771 : Epoch 10, Batch   1728, Loss  0.853946, Average Loss  0.869029, Time  0.357502
2021-09-10 12:11:12.297779 : Epoch 10, Batch   1729, Loss  0.879651, Average Loss  0.869127, Time  0.453619
2021-09-10 12:11:14.065771 : Epoch 10, Batch   1730, Loss  0.874641, Average Loss  0.869205, Time  0.341812
2021-09-10 12:11:15.837779 : Epoch 10, Batch   1731, Loss  0.866663, Average Loss  0.869073, Time  0.357922
2021-09-10 12:11:17.625866 : Epoch 10, Batch   1732, Loss  0.854607, Average Loss  0.868961, Time  0.366113
2021-09-10 12:11:19.498780 : Epoch 10, Batch   1733, Loss  0.863292, Average Loss  0.868876, Time  0.450572
2021-09-10 12:11:21.258762 : Epoch 10, Batch   1734, Loss  0.892237, Average Loss  0.869011, Time  0.359350
2021-09-10 12:11:23.084766 : Epoch 10, Batch   1735, Loss  0.853714, Average Loss  0.868650, Time  0.361833
2021-09-10 12:11:24.908958 : Epoch 10, Batch   1736, Loss  0.871278, Average Loss  0.868583, Time  0.405776
2021-09-10 12:11:26.797902 : Epoch 10, Batch   1737, Loss  0.877897, Average Loss  0.868534, Time  0.462628
2021-09-10 12:11:28.570128 : Epoch 10, Batch   1738, Loss  0.878912, Average Loss  0.868559, Time  0.363017
2021-09-10 12:11:30.344768 : Epoch 10, Batch   1739, Loss  0.835075, Average Loss  0.868300, Time  0.365935
2021-09-10 12:11:32.173776 : Epoch 10, Batch   1740, Loss  0.860468, Average Loss  0.868289, Time  0.402442
2021-09-10 12:11:34.067771 : Epoch 10, Batch   1741, Loss  0.859753, Average Loss  0.868167, Time  0.445684
2021-09-10 12:11:35.864764 : Epoch 10, Batch   1742, Loss  0.886587, Average Loss  0.868350, Time  0.359576
2021-09-10 12:11:37.656771 : Epoch 10, Batch   1743, Loss  0.873740, Average Loss  0.868387, Time  0.370032
2021-09-10 12:11:39.463738 : Epoch 10, Batch   1744, Loss  0.849406, Average Loss  0.868285, Time  0.398005
2021-09-10 12:11:41.321848 : Epoch 10, Batch   1745, Loss  0.853954, Average Loss  0.868178, Time  0.453134
2021-09-10 12:11:43.080630 : Epoch 10, Batch   1746, Loss  0.845184, Average Loss  0.868003, Time  0.359400
2021-09-10 12:11:44.844770 : Epoch 10, Batch   1747, Loss  0.877375, Average Loss  0.868015, Time  0.360198
2021-09-10 12:11:46.691778 : Epoch 10, Batch   1748, Loss  0.890060, Average Loss  0.868306, Time  0.433345
2021-09-10 12:11:48.590778 : Epoch 10, Batch   1749, Loss  0.846931, Average Loss  0.868204, Time  0.464194
2021-09-10 12:11:50.373108 : Epoch 10, Batch   1750, Loss  0.884544, Average Loss  0.868251, Time  0.364153
2021-09-10 12:11:52.165325 : Epoch 10, Batch   1751, Loss  0.860125, Average Loss  0.868011, Time  0.367545
2021-09-10 12:11:53.961780 : Epoch 10, Batch   1752, Loss  0.888858, Average Loss  0.868060, Time  0.373883
2021-09-10 12:11:55.858769 : Epoch 10, Batch   1753, Loss  0.884498, Average Loss  0.868193, Time  0.463903
2021-09-10 12:11:57.626124 : Epoch 10, Batch   1754, Loss  0.879387, Average Loss  0.868398, Time  0.336583
2021-09-10 12:11:59.431235 : Epoch 10, Batch   1755, Loss  0.859886, Average Loss  0.868417, Time  0.356405
2021-09-10 12:12:01.228100 : Epoch 10, Batch   1756, Loss  0.875030, Average Loss  0.868507, Time  0.356400
2021-09-10 12:12:03.108928 : Epoch 10, Batch   1757, Loss  0.855207, Average Loss  0.868409, Time  0.452359
2021-09-10 12:12:04.897859 : Epoch 10, Batch   1758, Loss  0.875317, Average Loss  0.868490, Time  0.370679
2021-09-10 12:12:06.699773 : Epoch 10, Batch   1759, Loss  0.837658, Average Loss  0.868523, Time  0.367723
2021-09-10 12:12:08.492769 : Epoch 10, Batch   1760, Loss  0.875588, Average Loss  0.868640, Time  0.369066
2021-09-10 12:12:10.366104 : Epoch 10, Batch   1761, Loss  0.858854, Average Loss  0.868466, Time  0.452077
2021-09-10 12:12:12.143775 : Epoch 10, Batch   1762, Loss  0.876195, Average Loss  0.868529, Time  0.357431
2021-09-10 12:12:13.952668 : Epoch 10, Batch   1763, Loss  0.862640, Average Loss  0.868595, Time  0.365502
2021-09-10 12:12:15.738780 : Epoch 10, Batch   1764, Loss  0.829170, Average Loss  0.868527, Time  0.365781
2021-09-10 12:12:17.637107 : Epoch 10, Batch   1765, Loss  0.875407, Average Loss  0.868401, Time  0.459677
2021-09-10 12:12:19.416101 : Epoch 10, Batch   1766, Loss  0.868318, Average Loss  0.868301, Time  0.355795
2021-09-10 12:12:21.198762 : Epoch 10, Batch   1767, Loss  0.868632, Average Loss  0.868439, Time  0.358285
2021-09-10 12:12:23.002111 : Epoch 10, Batch   1768, Loss  0.847706, Average Loss  0.868291, Time  0.368557
2021-09-10 12:12:24.914773 : Epoch 10, Batch   1769, Loss  0.845681, Average Loss  0.868282, Time  0.459175
2021-09-10 12:12:26.757783 : Epoch 10, Batch   1770, Loss  0.854743, Average Loss  0.868207, Time  0.410042
2021-09-10 12:12:28.565777 : Epoch 10, Batch   1771, Loss  0.893794, Average Loss  0.868452, Time  0.378051
2021-09-10 12:12:30.361772 : Epoch 10, Batch   1772, Loss  0.859704, Average Loss  0.868474, Time  0.368399
2021-09-10 12:12:32.197774 : Epoch 10, Batch   1773, Loss  0.841776, Average Loss  0.868335, Time  0.430861
2021-09-10 12:12:34.058837 : Epoch 10, Batch   1774, Loss  0.851518, Average Loss  0.868122, Time  0.458505
2021-09-10 12:12:35.834103 : Epoch 10, Batch   1775, Loss  0.826147, Average Loss  0.868023, Time  0.362844
2021-09-10 12:12:37.610772 : Epoch 10, Batch   1776, Loss  0.870048, Average Loss  0.867967, Time  0.364207
2021-09-10 12:12:39.422918 : Epoch 10, Batch   1777, Loss  0.859100, Average Loss  0.867781, Time  0.403387
2021-09-10 12:12:41.323778 : Epoch 10, Batch   1778, Loss  0.839090, Average Loss  0.867688, Time  0.453141
2021-09-10 12:12:43.122836 : Epoch 10, Batch   1779, Loss  0.861904, Average Loss  0.867606, Time  0.340400
2021-09-10 12:12:44.944112 : Epoch 10, Batch   1780, Loss  0.892740, Average Loss  0.867553, Time  0.381893
2021-09-10 12:12:46.743224 : Epoch 10, Batch   1781, Loss  0.875651, Average Loss  0.867412, Time  0.357061
2021-09-10 12:12:48.648762 : Epoch 10, Batch   1782, Loss  0.850055, Average Loss  0.867161, Time  0.463138
2021-09-10 12:12:50.420761 : Epoch 10, Batch   1783, Loss  0.875757, Average Loss  0.867216, Time  0.363364
2021-09-10 12:12:52.192819 : Epoch 10, Batch   1784, Loss  0.870131, Average Loss  0.867397, Time  0.364825
2021-09-10 12:12:54.058772 : Epoch 10, Batch   1785, Loss  0.855330, Average Loss  0.867275, Time  0.437320
2021-09-10 12:12:55.846926 : Epoch 10, Batch   1786, Loss  0.879781, Average Loss  0.867367, Time  0.363206
2021-09-10 12:12:57.703813 : Epoch 10, Batch   1787, Loss  0.882171, Average Loss  0.867519, Time  0.421868
2021-09-10 12:12:59.499620 : Epoch 10, Batch   1788, Loss  0.859626, Average Loss  0.867376, Time  0.360249
2021-09-10 12:13:01.277956 : Epoch 10, Batch   1789, Loss  0.854785, Average Loss  0.867265, Time  0.366312
2021-09-10 12:13:03.146042 : Epoch 10, Batch   1790, Loss  0.881572, Average Loss  0.867251, Time  0.449758
2021-09-10 12:13:05.026776 : Epoch 10, Batch   1791, Loss  0.878894, Average Loss  0.867293, Time  0.460739
2021-09-10 12:13:06.812776 : Epoch 10, Batch   1792, Loss  0.878500, Average Loss  0.867445, Time  0.357364
2021-09-10 12:13:08.593773 : Epoch 10, Batch   1793, Loss  0.861831, Average Loss  0.867323, Time  0.377176
2021-09-10 12:13:10.409865 : Epoch 10, Batch   1794, Loss  0.838563, Average Loss  0.866972, Time  0.394083
2021-09-10 12:13:12.281178 : Epoch 10, Batch   1795, Loss  0.862098, Average Loss  0.866863, Time  0.456031
2021-09-10 12:13:14.062137 : Epoch 10, Batch   1796, Loss  0.884770, Average Loss  0.867092, Time  0.359029
2021-09-10 12:13:15.844099 : Epoch 10, Batch   1797, Loss  0.862693, Average Loss  0.866971, Time  0.362533
2021-09-10 12:13:17.651099 : Epoch 10, Batch   1798, Loss  0.877821, Average Loss  0.867087, Time  0.388934
2021-09-10 12:13:19.514170 : Epoch 10, Batch   1799, Loss  0.856974, Average Loss  0.867045, Time  0.454079
2021-09-10 12:13:21.302112 : Epoch 10, Batch   1800, Loss  0.868652, Average Loss  0.867061, Time  0.359969
2021-09-10 12:13:23.104778 : Epoch 10, Batch   1801, Loss  0.881581, Average Loss  0.866909, Time  0.358691
2021-09-10 12:18:14.443706 : CheckPoint: Validation Loss  0.00062127, Best Loss  0.00056427
2021-09-10 12:18:16.303783 : Epoch 10, Batch   1802, Loss  0.891122, Average Loss  0.867123, Time  0.419807
2021-09-10 12:18:18.070775 : Epoch 10, Batch   1803, Loss  0.872959, Average Loss  0.867228, Time  0.356968
2021-09-10 12:18:19.846780 : Epoch 10, Batch   1804, Loss  0.904044, Average Loss  0.867287, Time  0.357492
2021-09-10 12:18:21.694939 : Epoch 10, Batch   1805, Loss  0.875542, Average Loss  0.867351, Time  0.436044
2021-09-10 12:18:23.580221 : Epoch 10, Batch   1806, Loss  0.860745, Average Loss  0.867315, Time  0.456005
2021-09-10 12:18:25.379763 : Epoch 10, Batch   1807, Loss  0.883412, Average Loss  0.867336, Time  0.356963
2021-09-10 12:18:27.178102 : Epoch 10, Batch   1808, Loss  0.859687, Average Loss  0.867389, Time  0.363252
2021-09-10 12:18:28.970763 : Epoch 10, Batch   1809, Loss  0.892473, Average Loss  0.867605, Time  0.381674
2021-09-10 12:18:30.869112 : Epoch 10, Batch   1810, Loss  0.872205, Average Loss  0.867803, Time  0.465392
2021-09-10 12:18:32.631094 : Epoch 10, Batch   1811, Loss  0.842803, Average Loss  0.867491, Time  0.340155
2021-09-10 12:18:34.433233 : Epoch 10, Batch   1812, Loss  0.895615, Average Loss  0.867592, Time  0.369885
2021-09-10 12:18:36.216116 : Epoch 10, Batch   1813, Loss  0.892430, Average Loss  0.867542, Time  0.354590
2021-09-10 12:18:38.083760 : Epoch 10, Batch   1814, Loss  0.887486, Average Loss  0.867612, Time  0.453816
2021-09-10 12:18:39.869111 : Epoch 10, Batch   1815, Loss  0.799907, Average Loss  0.867370, Time  0.369233
2021-09-10 12:18:41.655214 : Epoch 10, Batch   1816, Loss  0.885089, Average Loss  0.867356, Time  0.356026
2021-09-10 12:18:43.437849 : Epoch 10, Batch   1817, Loss  0.885414, Average Loss  0.867261, Time  0.374510
2021-09-10 12:18:45.320780 : Epoch 10, Batch   1818, Loss  0.860776, Average Loss  0.867214, Time  0.468566
2021-09-10 12:18:47.106402 : Epoch 10, Batch   1819, Loss  0.832017, Average Loss  0.867048, Time  0.355041
2021-09-10 12:18:48.873566 : Epoch 10, Batch   1820, Loss  0.867405, Average Loss  0.867126, Time  0.363109
2021-09-10 12:18:50.669107 : Epoch 10, Batch   1821, Loss  0.861104, Average Loss  0.867133, Time  0.373036
2021-09-10 12:18:52.561808 : Epoch 10, Batch   1822, Loss  0.871989, Average Loss  0.867211, Time  0.452771
2021-09-10 12:18:54.415109 : Epoch 10, Batch   1823, Loss  0.875886, Average Loss  0.867379, Time  0.413764
2021-09-10 12:18:56.197849 : Epoch 10, Batch   1824, Loss  0.866525, Average Loss  0.867354, Time  0.355892
2021-09-10 12:18:57.983106 : Epoch 10, Batch   1825, Loss  0.866219, Average Loss  0.867287, Time  0.358673
2021-09-10 12:18:59.871219 : Epoch 10, Batch   1826, Loss  0.875684, Average Loss  0.867210, Time  0.458786
2021-09-10 12:19:01.750775 : Epoch 10, Batch   1827, Loss  0.865905, Average Loss  0.867217, Time  0.460192
2021-09-10 12:19:03.520107 : Epoch 10, Batch   1828, Loss  0.849401, Average Loss  0.867015, Time  0.359259
2021-09-10 12:19:05.325978 : Epoch 10, Batch   1829, Loss  0.870027, Average Loss  0.867026, Time  0.365816
2021-09-10 12:19:07.127831 : Epoch 10, Batch   1830, Loss  0.860450, Average Loss  0.866908, Time  0.374204
2021-09-10 12:19:09.003128 : Epoch 10, Batch   1831, Loss  0.821446, Average Loss  0.866575, Time  0.454674
2021-09-10 12:19:10.761686 : Epoch 10, Batch   1832, Loss  0.852579, Average Loss  0.866443, Time  0.357725
2021-09-10 12:19:12.516738 : Epoch 10, Batch   1833, Loss  0.861488, Average Loss  0.866411, Time  0.356128
2021-09-10 12:19:14.323983 : Epoch 10, Batch   1834, Loss  0.890962, Average Loss  0.866479, Time  0.406514
2021-09-10 12:19:16.198581 : Epoch 10, Batch   1835, Loss  0.841203, Average Loss  0.866293, Time  0.464266
2021-09-10 12:19:17.960977 : Epoch 10, Batch   1836, Loss  0.876461, Average Loss  0.866547, Time  0.358310
2021-09-10 12:19:20.600811 : Epoch 10, Batch   1837, Loss  0.856562, Average Loss  0.866419, Time  0.437017
2021-09-10 12:19:22.393863 : Epoch 10, Batch   1838, Loss  0.882050, Average Loss  0.866460, Time  0.357684
2021-09-10 12:19:24.187868 : Epoch 10, Batch   1839, Loss  0.885729, Average Loss  0.866566, Time  0.358419
2021-09-10 12:19:26.017969 : Epoch 10, Batch   1840, Loss  0.855147, Average Loss  0.866561, Time  0.417835
2021-09-10 12:19:27.897103 : Epoch 10, Batch   1841, Loss  0.881227, Average Loss  0.866669, Time  0.455345
2021-09-10 12:19:29.695856 : Epoch 10, Batch   1842, Loss  0.876788, Average Loss  0.866683, Time  0.351064
2021-09-10 12:19:31.462311 : Epoch 10, Batch   1843, Loss  0.866057, Average Loss  0.866660, Time  0.358289
2021-09-10 12:19:33.259086 : Epoch 10, Batch   1844, Loss  0.894099, Average Loss  0.866694, Time  0.370442
2021-09-10 12:19:35.128849 : Epoch 10, Batch   1845, Loss  0.872643, Average Loss  0.866553, Time  0.455442
2021-09-10 12:19:36.918232 : Epoch 10, Batch   1846, Loss  0.859794, Average Loss  0.866526, Time  0.349016
2021-09-10 12:19:38.709101 : Epoch 10, Batch   1847, Loss  0.860443, Average Loss  0.866549, Time  0.366549
2021-09-10 12:19:40.480069 : Epoch 10, Batch   1848, Loss  0.848245, Average Loss  0.866594, Time  0.366648
2021-09-10 12:19:42.344283 : Epoch 10, Batch   1849, Loss  0.825011, Average Loss  0.866396, Time  0.457536
2021-09-10 12:19:44.105912 : Epoch 10, Batch   1850, Loss  0.871211, Average Loss  0.866462, Time  0.360439
2021-09-10 12:19:45.885968 : Epoch 10, Batch   1851, Loss  0.868657, Average Loss  0.866590, Time  0.373657
2021-09-10 12:19:47.707097 : Epoch 10, Batch   1852, Loss  0.826738, Average Loss  0.866297, Time  0.415296
2021-09-10 12:19:49.604846 : Epoch 10, Batch   1853, Loss  0.839796, Average Loss  0.865913, Time  0.469262
2021-09-10 12:19:51.395109 : Epoch 10, Batch   1854, Loss  0.844159, Average Loss  0.865839, Time  0.345559
2021-09-10 12:19:53.178406 : Epoch 10, Batch   1855, Loss  0.875542, Average Loss  0.865915, Time  0.358656
2021-09-10 12:19:54.959114 : Epoch 10, Batch   1856, Loss  0.860225, Average Loss  0.865849, Time  0.377520
2021-09-10 12:19:56.825764 : Epoch 10, Batch   1857, Loss  0.858717, Average Loss  0.865767, Time  0.454429
2021-09-10 12:19:58.593774 : Epoch 10, Batch   1858, Loss  0.862526, Average Loss  0.865879, Time  0.363672
2021-09-10 12:20:00.408229 : Epoch 10, Batch   1859, Loss  0.895530, Average Loss  0.866142, Time  0.378764
2021-09-10 12:20:02.210229 : Epoch 10, Batch   1860, Loss  0.844122, Average Loss  0.865970, Time  0.378193
2021-09-10 12:20:04.083264 : Epoch 10, Batch   1861, Loss  0.819722, Average Loss  0.865699, Time  0.459955
2021-09-10 12:20:05.857773 : Epoch 10, Batch   1862, Loss  0.859920, Average Loss  0.865590, Time  0.365060
2021-09-10 12:20:07.631224 : Epoch 10, Batch   1863, Loss  0.862704, Average Loss  0.865600, Time  0.356354
2021-09-10 12:20:09.446107 : Epoch 10, Batch   1864, Loss  0.849044, Average Loss  0.865559, Time  0.374019
2021-09-10 12:20:11.346232 : Epoch 10, Batch   1865, Loss  0.869098, Average Loss  0.865378, Time  0.461722
2021-09-10 12:20:13.194777 : Epoch 10, Batch   1866, Loss  0.886896, Average Loss  0.865483, Time  0.407246
2021-09-10 12:20:14.999105 : Epoch 10, Batch   1867, Loss  0.873044, Average Loss  0.865438, Time  0.360278
2021-09-10 12:20:16.806094 : Epoch 10, Batch   1868, Loss  0.860712, Average Loss  0.865315, Time  0.367699
2021-09-10 12:20:18.669091 : Epoch 10, Batch   1869, Loss  0.864701, Average Loss  0.865371, Time  0.446202
2021-09-10 12:20:20.542778 : Epoch 10, Batch   1870, Loss  0.886457, Average Loss  0.865539, Time  0.455181
2021-09-10 12:20:22.336301 : Epoch 10, Batch   1871, Loss  0.877977, Average Loss  0.865500, Time  0.376439
2021-09-10 12:20:24.117764 : Epoch 10, Batch   1872, Loss  0.869494, Average Loss  0.865372, Time  0.356832
2021-09-10 12:20:25.917760 : Epoch 10, Batch   1873, Loss  0.874290, Average Loss  0.865491, Time  0.376941
2021-09-10 12:20:27.800256 : Epoch 10, Batch   1874, Loss  0.864339, Average Loss  0.865519, Time  0.463473
2021-09-10 12:20:29.588362 : Epoch 10, Batch   1875, Loss  0.876394, Average Loss  0.865457, Time  0.366983
2021-09-10 12:20:31.361240 : Epoch 10, Batch   1876, Loss  0.852641, Average Loss  0.865308, Time  0.361337
2021-09-10 12:20:33.141306 : Epoch 10, Batch   1877, Loss  0.874476, Average Loss  0.865441, Time  0.371665
2021-09-10 12:20:35.022268 : Epoch 10, Batch   1878, Loss  0.889081, Average Loss  0.865561, Time  0.461987
2021-09-10 12:20:36.818232 : Epoch 10, Batch   1879, Loss  0.861228, Average Loss  0.865538, Time  0.357626
2021-09-10 12:20:38.602092 : Epoch 10, Batch   1880, Loss  0.859784, Average Loss  0.865525, Time  0.361907
2021-09-10 12:20:40.388110 : Epoch 10, Batch   1881, Loss  0.854255, Average Loss  0.865374, Time  0.375703
2021-09-10 12:20:42.267774 : Epoch 10, Batch   1882, Loss  0.855612, Average Loss  0.865320, Time  0.458338
2021-09-10 12:20:44.044248 : Epoch 10, Batch   1883, Loss  0.868334, Average Loss  0.865321, Time  0.363333
2021-09-10 12:20:45.848075 : Epoch 10, Batch   1884, Loss  0.838763, Average Loss  0.865281, Time  0.362655
2021-09-10 12:20:47.686247 : Epoch 10, Batch   1885, Loss  0.926015, Average Loss  0.865652, Time  0.399656
2021-09-10 12:20:49.557762 : Epoch 10, Batch   1886, Loss  0.864777, Average Loss  0.865601, Time  0.455888
2021-09-10 12:20:51.354815 : Epoch 10, Batch   1887, Loss  0.855259, Average Loss  0.865361, Time  0.355478
2021-09-10 12:20:53.155230 : Epoch 10, Batch   1888, Loss  0.870750, Average Loss  0.865425, Time  0.368274
2021-09-10 12:20:54.959882 : Epoch 10, Batch   1889, Loss  0.834519, Average Loss  0.865291, Time  0.386782
2021-09-10 12:20:56.841945 : Epoch 10, Batch   1890, Loss  0.895729, Average Loss  0.865387, Time  0.452292
2021-09-10 12:20:58.641232 : Epoch 10, Batch   1891, Loss  0.871656, Average Loss  0.865536, Time  0.355875
2021-09-10 12:21:00.425779 : Epoch 10, Batch   1892, Loss  0.865366, Average Loss  0.865564, Time  0.360295
2021-09-10 12:21:02.207813 : Epoch 10, Batch   1893, Loss  0.897654, Average Loss  0.865627, Time  0.354657
2021-09-10 12:21:04.087016 : Epoch 10, Batch   1894, Loss  0.864947, Average Loss  0.865425, Time  0.452753
2021-09-10 12:21:05.939239 : Epoch 10, Batch   1895, Loss  0.866439, Average Loss  0.865352, Time  0.412561
2021-09-10 12:21:07.741780 : Epoch 10, Batch   1896, Loss  0.861796, Average Loss  0.865278, Time  0.364254
2021-09-10 12:21:09.537955 : Epoch 10, Batch   1897, Loss  0.865177, Average Loss  0.865227, Time  0.358775
2021-09-10 12:21:11.378900 : Epoch 10, Batch   1898, Loss  0.872208, Average Loss  0.865367, Time  0.429124
2021-09-10 12:21:13.237325 : Epoch 10, Batch   1899, Loss  0.835923, Average Loss  0.865230, Time  0.455025
2021-09-10 12:21:15.011152 : Epoch 10, Batch   1900, Loss  0.889578, Average Loss  0.865441, Time  0.368762
2021-09-10 12:21:16.780764 : Epoch 10, Batch   1901, Loss  0.850985, Average Loss  0.865335, Time  0.359469
2021-09-10 12:26:07.805710 : CheckPoint: Validation Loss  0.00059791, Best Loss  0.00056427
2021-09-10 12:26:09.607930 : Epoch 10, Batch   1902, Loss  0.894773, Average Loss  0.865539, Time  0.376459
2021-09-10 12:26:11.427824 : Epoch 10, Batch   1903, Loss  0.829270, Average Loss  0.865486, Time  0.412596
2021-09-10 12:26:13.337083 : Epoch 10, Batch   1904, Loss  0.843470, Average Loss  0.865467, Time  0.454533
2021-09-10 12:26:15.123782 : Epoch 10, Batch   1905, Loss  0.857675, Average Loss  0.865289, Time  0.337431
2021-09-10 12:26:16.912096 : Epoch 10, Batch   1906, Loss  0.887316, Average Loss  0.865380, Time  0.358056
2021-09-10 12:26:18.713094 : Epoch 10, Batch   1907, Loss  0.859329, Average Loss  0.865473, Time  0.361192
2021-09-10 12:26:20.598770 : Epoch 10, Batch   1908, Loss  0.846257, Average Loss  0.865365, Time  0.454082
2021-09-10 12:26:22.367779 : Epoch 10, Batch   1909, Loss  0.873019, Average Loss  0.865434, Time  0.352210
2021-09-10 12:26:24.149775 : Epoch 10, Batch   1910, Loss  0.858328, Average Loss  0.865359, Time  0.366135
2021-09-10 12:26:25.986779 : Epoch 10, Batch   1911, Loss  0.853434, Average Loss  0.865328, Time  0.366550
2021-09-10 12:26:27.872810 : Epoch 10, Batch   1912, Loss  0.852355, Average Loss  0.865230, Time  0.451646
2021-09-10 12:26:29.630968 : Epoch 10, Batch   1913, Loss  0.894807, Average Loss  0.865463, Time  0.345685
2021-09-10 12:26:31.397769 : Epoch 10, Batch   1914, Loss  0.881144, Average Loss  0.865591, Time  0.355594
2021-09-10 12:26:33.159280 : Epoch 10, Batch   1915, Loss  0.866539, Average Loss  0.865639, Time  0.356836
2021-09-10 12:26:35.040782 : Epoch 10, Batch   1916, Loss  0.870420, Average Loss  0.865655, Time  0.453094
2021-09-10 12:26:36.812122 : Epoch 10, Batch   1917, Loss  0.878383, Average Loss  0.865762, Time  0.360931
2021-09-10 12:26:38.577777 : Epoch 10, Batch   1918, Loss  0.866957, Average Loss  0.865807, Time  0.368757
2021-09-10 12:26:40.355101 : Epoch 10, Batch   1919, Loss  0.866758, Average Loss  0.865845, Time  0.378905
2021-09-10 12:26:42.235774 : Epoch 10, Batch   1920, Loss  0.842406, Average Loss  0.865774, Time  0.465503
2021-09-10 12:26:44.018106 : Epoch 10, Batch   1921, Loss  0.860006, Average Loss  0.865680, Time  0.371433
2021-09-10 12:26:45.827778 : Epoch 10, Batch   1922, Loss  0.881484, Average Loss  0.865725, Time  0.358897
2021-09-10 12:26:47.631782 : Epoch 10, Batch   1923, Loss  0.895237, Average Loss  0.865745, Time  0.357073
2021-09-10 12:26:49.489868 : Epoch 10, Batch   1924, Loss  0.878849, Average Loss  0.865757, Time  0.451245
2021-09-10 12:26:51.281791 : Epoch 10, Batch   1925, Loss  0.870698, Average Loss  0.865869, Time  0.368576
2021-09-10 12:26:53.077762 : Epoch 10, Batch   1926, Loss  0.880777, Average Loss  0.866056, Time  0.370391
2021-09-10 12:26:54.888938 : Epoch 10, Batch   1927, Loss  0.894070, Average Loss  0.866214, Time  0.383159
2021-09-10 12:26:56.756807 : Epoch 10, Batch   1928, Loss  0.886634, Average Loss  0.866378, Time  0.458003
2021-09-10 12:26:58.511777 : Epoch 10, Batch   1929, Loss  0.864976, Average Loss  0.866304, Time  0.356638
2021-09-10 12:27:00.273104 : Epoch 10, Batch   1930, Loss  0.860493, Average Loss  0.866234, Time  0.359833
2021-09-10 12:27:02.081211 : Epoch 10, Batch   1931, Loss  0.858736, Average Loss  0.866194, Time  0.397187
2021-09-10 12:27:03.936798 : Epoch 10, Batch   1932, Loss  0.855208, Average Loss  0.866197, Time  0.454721
2021-09-10 12:27:05.690762 : Epoch 10, Batch   1933, Loss  0.847192, Average Loss  0.866116, Time  0.357839
2021-09-10 12:27:07.467773 : Epoch 10, Batch   1934, Loss  0.857833, Average Loss  0.865944, Time  0.356939
2021-09-10 12:27:09.302138 : Epoch 10, Batch   1935, Loss  0.871042, Average Loss  0.866031, Time  0.406567
2021-09-10 12:27:11.186101 : Epoch 10, Batch   1936, Loss  0.887117, Average Loss  0.866110, Time  0.457774
2021-09-10 12:27:12.931396 : Epoch 10, Batch   1937, Loss  0.869668, Average Loss  0.866069, Time  0.357834
2021-09-10 12:27:14.705770 : Epoch 10, Batch   1938, Loss  0.861210, Average Loss  0.865981, Time  0.376984
2021-09-10 12:27:16.528107 : Epoch 10, Batch   1939, Loss  0.860712, Average Loss  0.866109, Time  0.386038
2021-09-10 12:27:18.424776 : Epoch 10, Batch   1940, Loss  0.886219, Average Loss  0.866238, Time  0.454893
2021-09-10 12:27:20.212792 : Epoch 10, Batch   1941, Loss  0.837402, Average Loss  0.866126, Time  0.341948
2021-09-10 12:27:22.023767 : Epoch 10, Batch   1942, Loss  0.861482, Average Loss  0.866000, Time  0.359118
2021-09-10 12:27:23.795773 : Epoch 10, Batch   1943, Loss  0.845592, Average Loss  0.865860, Time  0.365201
2021-09-10 12:27:25.661296 : Epoch 10, Batch   1944, Loss  0.842870, Average Loss  0.865827, Time  0.466254
2021-09-10 12:27:27.428949 : Epoch 10, Batch   1945, Loss  0.839115, Average Loss  0.865753, Time  0.363208
2021-09-10 12:27:29.217912 : Epoch 10, Batch   1946, Loss  0.833659, Average Loss  0.865695, Time  0.358104
2021-09-10 12:27:30.989856 : Epoch 10, Batch   1947, Loss  0.865076, Average Loss  0.865634, Time  0.360157
2021-09-10 12:27:32.862775 : Epoch 10, Batch   1948, Loss  0.850809, Average Loss  0.865437, Time  0.453763
2021-09-10 12:27:34.636445 : Epoch 10, Batch   1949, Loss  0.876361, Average Loss  0.865584, Time  0.357424
2021-09-10 12:27:36.406316 : Epoch 10, Batch   1950, Loss  0.884259, Average Loss  0.865583, Time  0.363445
2021-09-10 12:27:38.197922 : Epoch 10, Batch   1951, Loss  0.883622, Average Loss  0.865700, Time  0.393255
2021-09-10 12:27:40.069483 : Epoch 10, Batch   1952, Loss  0.873698, Average Loss  0.865625, Time  0.462444
2021-09-10 12:27:41.874900 : Epoch 10, Batch   1953, Loss  0.861923, Average Loss  0.865512, Time  0.371156
2021-09-10 12:27:43.684811 : Epoch 10, Batch   1954, Loss  0.879343, Average Loss  0.865512, Time  0.361974
2021-09-10 12:27:45.488025 : Epoch 10, Batch   1955, Loss  0.852905, Average Loss  0.865477, Time  0.370293
2021-09-10 12:27:47.369887 : Epoch 10, Batch   1956, Loss  0.848051, Average Loss  0.865342, Time  0.452842
2021-09-10 12:27:49.147773 : Epoch 10, Batch   1957, Loss  0.873393, Average Loss  0.865433, Time  0.358552
2021-09-10 12:27:50.937842 : Epoch 10, Batch   1958, Loss  0.846163, Average Loss  0.865287, Time  0.357325
2021-09-10 12:27:52.755774 : Epoch 10, Batch   1959, Loss  0.844238, Average Loss  0.865320, Time  0.410969
2021-09-10 12:27:54.630110 : Epoch 10, Batch   1960, Loss  0.865880, Average Loss  0.865271, Time  0.450149
2021-09-10 12:27:56.420764 : Epoch 10, Batch   1961, Loss  0.876906, Average Loss  0.865362, Time  0.357019
2021-09-10 12:27:58.198942 : Epoch 10, Batch   1962, Loss  0.830772, Average Loss  0.865134, Time  0.363213
2021-09-10 12:28:00.006393 : Epoch 10, Batch   1963, Loss  0.877080, Average Loss  0.865207, Time  0.395158
2021-09-10 12:28:01.867097 : Epoch 10, Batch   1964, Loss  0.820845, Average Loss  0.865165, Time  0.449099
2021-09-10 12:28:03.652520 : Epoch 10, Batch   1965, Loss  0.853313, Average Loss  0.865055, Time  0.362333
2021-09-10 12:28:05.418178 : Epoch 10, Batch   1966, Loss  0.905096, Average Loss  0.865238, Time  0.356818
2021-09-10 12:28:07.244768 : Epoch 10, Batch   1967, Loss  0.839809, Average Loss  0.865094, Time  0.399849
2021-09-10 12:28:09.120817 : Epoch 10, Batch   1968, Loss  0.860419, Average Loss  0.865158, Time  0.451167
2021-09-10 12:28:10.908113 : Epoch 10, Batch   1969, Loss  0.872825, Average Loss  0.865294, Time  0.366519
2021-09-10 12:28:12.672849 : Epoch 10, Batch   1970, Loss  0.867693, Average Loss  0.865358, Time  0.358187
2021-09-10 12:28:14.485936 : Epoch 10, Batch   1971, Loss  0.853085, Average Loss  0.865155, Time  0.367181
2021-09-10 12:28:16.381113 : Epoch 10, Batch   1972, Loss  0.866224, Average Loss  0.865187, Time  0.480280
2021-09-10 12:28:18.147774 : Epoch 10, Batch   1973, Loss  0.832440, Average Loss  0.865141, Time  0.344128
2021-09-10 12:28:19.925973 : Epoch 10, Batch   1974, Loss  0.872225, Average Loss  0.865244, Time  0.355840
2021-09-10 12:28:21.699777 : Epoch 10, Batch   1975, Loss  0.838255, Average Loss  0.865305, Time  0.360457
2021-09-10 12:28:23.579105 : Epoch 10, Batch   1976, Loss  0.889799, Average Loss  0.865404, Time  0.452670
2021-09-10 12:28:25.360177 : Epoch 10, Batch   1977, Loss  0.884252, Average Loss  0.865529, Time  0.353665
2021-09-10 12:28:27.136284 : Epoch 10, Batch   1978, Loss  0.860451, Average Loss  0.865636, Time  0.364811
2021-09-10 12:28:28.926764 : Epoch 10, Batch   1979, Loss  0.883869, Average Loss  0.865746, Time  0.380132
2021-09-10 12:28:30.811092 : Epoch 10, Batch   1980, Loss  0.861175, Average Loss  0.865588, Time  0.457142
2021-09-10 12:28:32.660778 : Epoch 10, Batch   1981, Loss  0.864943, Average Loss  0.865535, Time  0.425378
2021-09-10 12:28:34.461936 : Epoch 10, Batch   1982, Loss  0.895563, Average Loss  0.865762, Time  0.360523
2021-09-10 12:28:36.273091 : Epoch 10, Batch   1983, Loss  0.865997, Average Loss  0.865713, Time  0.361252
2021-09-10 12:28:38.109105 : Epoch 10, Batch   1984, Loss  0.833974, Average Loss  0.865533, Time  0.422642
2021-09-10 12:28:39.980822 : Epoch 10, Batch   1985, Loss  0.872783, Average Loss  0.865620, Time  0.451122
2021-09-10 12:28:41.781091 : Epoch 10, Batch   1986, Loss  0.859805, Average Loss  0.865520, Time  0.358773
2021-09-10 12:28:43.555835 : Epoch 10, Batch   1987, Loss  0.862689, Average Loss  0.865423, Time  0.355144
2021-09-10 12:28:45.368102 : Epoch 10, Batch   1988, Loss  0.883912, Average Loss  0.865544, Time  0.393851
2021-09-10 12:28:47.243982 : Epoch 10, Batch   1989, Loss  0.886755, Average Loss  0.865704, Time  0.454775
2021-09-10 12:28:49.027768 : Epoch 10, Batch   1990, Loss  0.849297, Average Loss  0.865542, Time  0.357368
2021-09-10 12:28:50.810232 : Epoch 10, Batch   1991, Loss  0.904828, Average Loss  0.865672, Time  0.357153
2021-09-10 12:28:52.627121 : Epoch 10, Batch   1992, Loss  0.872787, Average Loss  0.865644, Time  0.381166
2021-09-10 12:28:54.522260 : Epoch 10, Batch   1993, Loss  0.862444, Average Loss  0.865647, Time  0.457960
2021-09-10 12:28:56.314289 : Epoch 10, Batch   1994, Loss  0.861000, Average Loss  0.865759, Time  0.366442
2021-09-10 12:28:58.094265 : Epoch 10, Batch   1995, Loss  0.871706, Average Loss  0.865807, Time  0.359241
2021-09-10 12:28:59.861850 : Epoch 10, Batch   1996, Loss  0.883556, Average Loss  0.865801, Time  0.371407
2021-09-10 12:29:01.724790 : Epoch 10, Batch   1997, Loss  0.887130, Average Loss  0.865923, Time  0.465745
2021-09-10 12:29:03.493957 : Epoch 10, Batch   1998, Loss  0.878358, Average Loss  0.865926, Time  0.362243
2021-09-10 12:29:05.286969 : Epoch 10, Batch   1999, Loss  0.896874, Average Loss  0.866125, Time  0.361284
2021-09-10 12:29:07.116772 : Epoch 10, Batch   2000, Loss  0.856154, Average Loss  0.866063, Time  0.399311
2021-09-10 12:29:09.003964 : Epoch 10, Batch   2001, Loss  0.887608, Average Loss  0.866093, Time  0.458585
2021-09-10 12:33:59.162731 : CheckPoint: Validation Loss  0.00058396, Best Loss  0.00056427
2021-09-10 12:34:00.952943 : Epoch 10, Batch   2002, Loss  0.881420, Average Loss  0.866044, Time  0.356116
2021-09-10 12:34:02.844763 : Epoch 10, Batch   2003, Loss  0.871732, Average Loss  0.866038, Time  0.445901
2021-09-10 12:34:04.725779 : Epoch 10, Batch   2004, Loss  0.885315, Average Loss  0.865944, Time  0.450215
2021-09-10 12:34:06.511760 : Epoch 10, Batch   2005, Loss  0.838416, Average Loss  0.865759, Time  0.356708
2021-09-10 12:34:08.287813 : Epoch 10, Batch   2006, Loss  0.862096, Average Loss  0.865766, Time  0.358767
2021-09-10 12:34:10.109777 : Epoch 10, Batch   2007, Loss  0.862635, Average Loss  0.865662, Time  0.394061
2021-09-10 12:34:11.996844 : Epoch 10, Batch   2008, Loss  0.914141, Average Loss  0.865934, Time  0.452422
2021-09-10 12:34:13.784780 : Epoch 10, Batch   2009, Loss  0.854380, Average Loss  0.865744, Time  0.349825
2021-09-10 12:34:15.565828 : Epoch 10, Batch   2010, Loss  0.852972, Average Loss  0.865647, Time  0.356699
2021-09-10 12:34:17.354946 : Epoch 10, Batch   2011, Loss  0.875744, Average Loss  0.865812, Time  0.377396
2021-09-10 12:34:19.226115 : Epoch 10, Batch   2012, Loss  0.891205, Average Loss  0.865790, Time  0.462488
2021-09-10 12:34:21.024762 : Epoch 10, Batch   2013, Loss  0.863417, Average Loss  0.865645, Time  0.355144
2021-09-10 12:34:22.827818 : Epoch 10, Batch   2014, Loss  0.896259, Average Loss  0.865689, Time  0.357939
2021-09-10 12:34:24.642772 : Epoch 10, Batch   2015, Loss  0.850325, Average Loss  0.865941, Time  0.399035
2021-09-10 12:34:26.510178 : Epoch 10, Batch   2016, Loss  0.877538, Average Loss  0.865903, Time  0.450083
2021-09-10 12:34:28.300775 : Epoch 10, Batch   2017, Loss  0.824616, Average Loss  0.865599, Time  0.359769
2021-09-10 12:34:30.068052 : Epoch 10, Batch   2018, Loss  0.885085, Average Loss  0.865721, Time  0.356403
2021-09-10 12:34:31.868777 : Epoch 10, Batch   2019, Loss  0.842760, Average Loss  0.865774, Time  0.408232
2021-09-10 12:34:33.723669 : Epoch 10, Batch   2020, Loss  0.877811, Average Loss  0.865826, Time  0.451516
2021-09-10 12:34:35.497117 : Epoch 10, Batch   2021, Loss  0.872441, Average Loss  0.865883, Time  0.363301
2021-09-10 12:34:37.295107 : Epoch 10, Batch   2022, Loss  0.850671, Average Loss  0.865777, Time  0.363276
2021-09-10 12:34:39.140779 : Epoch 10, Batch   2023, Loss  0.834373, Average Loss  0.865569, Time  0.405139
2021-09-10 12:34:41.017097 : Epoch 10, Batch   2024, Loss  0.882722, Average Loss  0.865650, Time  0.452756
2021-09-10 12:34:42.789775 : Epoch 10, Batch   2025, Loss  0.874894, Average Loss  0.865693, Time  0.367032
2021-09-10 12:34:44.567850 : Epoch 10, Batch   2026, Loss  0.909638, Average Loss  0.865863, Time  0.370111
2021-09-10 12:34:46.385782 : Epoch 10, Batch   2027, Loss  0.867395, Average Loss  0.865871, Time  0.404224
2021-09-10 12:34:48.264036 : Epoch 10, Batch   2028, Loss  0.858486, Average Loss  0.865916, Time  0.459790
2021-09-10 12:34:50.073110 : Epoch 10, Batch   2029, Loss  0.920148, Average Loss  0.866167, Time  0.361312
2021-09-10 12:34:51.871105 : Epoch 10, Batch   2030, Loss  0.879563, Average Loss  0.866262, Time  0.362051
2021-09-10 12:34:53.660708 : Epoch 10, Batch   2031, Loss  0.877599, Average Loss  0.866543, Time  0.361175
2021-09-10 12:34:55.520118 : Epoch 10, Batch   2032, Loss  0.875716, Average Loss  0.866659, Time  0.453580
2021-09-10 12:34:57.404816 : Epoch 10, Batch   2033, Loss  0.859306, Average Loss  0.866648, Time  0.454911
2021-09-10 12:34:59.207771 : Epoch 10, Batch   2034, Loss  0.877930, Average Loss  0.866583, Time  0.358456
2021-09-10 12:35:01.003760 : Epoch 10, Batch   2035, Loss  0.892231, Average Loss  0.866838, Time  0.358228
2021-09-10 12:35:02.856762 : Epoch 10, Batch   2036, Loss  0.873250, Average Loss  0.866822, Time  0.403197
2021-09-10 12:35:04.753780 : Epoch 10, Batch   2037, Loss  0.890611, Average Loss  0.866992, Time  0.455371
2021-09-10 12:35:06.582772 : Epoch 10, Batch   2038, Loss  0.867283, Average Loss  0.866918, Time  0.373753
2021-09-10 12:35:08.401245 : Epoch 10, Batch   2039, Loss  0.840815, Average Loss  0.866693, Time  0.370921
2021-09-10 12:35:10.188773 : Epoch 10, Batch   2040, Loss  0.832003, Average Loss  0.866578, Time  0.357043
2021-09-10 12:35:12.058793 : Epoch 10, Batch   2041, Loss  0.873036, Average Loss  0.866537, Time  0.459920
2021-09-10 12:35:13.914779 : Epoch 10, Batch   2042, Loss  0.876197, Average Loss  0.866534, Time  0.447300
2021-09-10 12:35:15.739104 : Epoch 10, Batch   2043, Loss  0.869947, Average Loss  0.866553, Time  0.360240
2021-09-10 12:35:17.515770 : Epoch 10, Batch   2044, Loss  0.882364, Average Loss  0.866495, Time  0.360359
2021-09-10 12:35:19.326101 : Epoch 10, Batch   2045, Loss  0.863082, Average Loss  0.866447, Time  0.386054
2021-09-10 12:35:21.205765 : Epoch 10, Batch   2046, Loss  0.837951, Average Loss  0.866338, Time  0.466156
2021-09-10 12:35:22.990854 : Epoch 10, Batch   2047, Loss  0.876480, Average Loss  0.866418, Time  0.356473
2021-09-10 12:35:24.785828 : Epoch 10, Batch   2048, Loss  0.855249, Average Loss  0.866453, Time  0.357854
2021-09-10 12:35:26.592780 : Epoch 10, Batch   2049, Loss  0.857567, Average Loss  0.866616, Time  0.373872
2021-09-10 12:35:28.477601 : Epoch 10, Batch   2050, Loss  0.856331, Average Loss  0.866541, Time  0.454015
2021-09-10 12:35:30.253095 : Epoch 10, Batch   2051, Loss  0.874181, Average Loss  0.866569, Time  0.372738
2021-09-10 12:35:32.027766 : Epoch 10, Batch   2052, Loss  0.890005, Average Loss  0.866885, Time  0.357020
2021-09-10 12:35:33.815088 : Epoch 10, Batch   2053, Loss  0.891846, Average Loss  0.867145, Time  0.391117
2021-09-10 12:35:35.666769 : Epoch 10, Batch   2054, Loss  0.855489, Average Loss  0.867202, Time  0.452718
2021-09-10 12:35:37.424103 : Epoch 10, Batch   2055, Loss  0.900099, Average Loss  0.867325, Time  0.356382
2021-09-10 12:35:39.212874 : Epoch 10, Batch   2056, Loss  0.910066, Average Loss  0.867574, Time  0.363453
2021-09-10 12:35:41.008768 : Epoch 10, Batch   2057, Loss  0.871203, Average Loss  0.867636, Time  0.403390
2021-09-10 12:35:42.897848 : Epoch 10, Batch   2058, Loss  0.860940, Average Loss  0.867629, Time  0.470833
2021-09-10 12:35:44.696708 : Epoch 10, Batch   2059, Loss  0.855315, Average Loss  0.867427, Time  0.360944
2021-09-10 12:35:46.458177 : Epoch 10, Batch   2060, Loss  0.896127, Average Loss  0.867688, Time  0.363010
2021-09-10 12:35:48.252472 : Epoch 10, Batch   2061, Loss  0.866061, Average Loss  0.867919, Time  0.393515
2021-09-10 12:35:50.137019 : Epoch 10, Batch   2062, Loss  0.867532, Average Loss  0.867957, Time  0.462802
2021-09-10 12:35:51.904794 : Epoch 10, Batch   2063, Loss  0.872707, Average Loss  0.868007, Time  0.356031
2021-09-10 12:35:53.704814 : Epoch 10, Batch   2064, Loss  0.869353, Average Loss  0.868109, Time  0.362677
2021-09-10 12:35:55.490106 : Epoch 10, Batch   2065, Loss  0.888329, Average Loss  0.868205, Time  0.382096
2021-09-10 12:35:57.392780 : Epoch 10, Batch   2066, Loss  0.865962, Average Loss  0.868100, Time  0.463381
2021-09-10 12:35:59.233759 : Epoch 10, Batch   2067, Loss  0.833743, Average Loss  0.867904, Time  0.360929
2021-09-10 12:36:01.021629 : Epoch 10, Batch   2068, Loss  0.880316, Average Loss  0.868002, Time  0.357228
2021-09-10 12:36:02.773830 : Epoch 10, Batch   2069, Loss  0.871705, Average Loss  0.868037, Time  0.363736
2021-09-10 12:36:04.643225 : Epoch 10, Batch   2070, Loss  0.851352, Average Loss  0.867861, Time  0.459549
2021-09-10 12:36:06.414766 : Epoch 10, Batch   2071, Loss  0.860134, Average Loss  0.867772, Time  0.373359
2021-09-10 12:36:08.209103 : Epoch 10, Batch   2072, Loss  0.828301, Average Loss  0.867566, Time  0.374611
2021-09-10 12:36:10.014816 : Epoch 10, Batch   2073, Loss  0.863968, Average Loss  0.867515, Time  0.383441
2021-09-10 12:36:11.940105 : Epoch 10, Batch   2074, Loss  0.867155, Average Loss  0.867529, Time  0.458324
2021-09-10 12:36:13.797103 : Epoch 10, Batch   2075, Loss  0.866915, Average Loss  0.867481, Time  0.414704
2021-09-10 12:36:15.588765 : Epoch 10, Batch   2076, Loss  0.887128, Average Loss  0.867654, Time  0.370715
2021-09-10 12:36:17.404771 : Epoch 10, Batch   2077, Loss  0.851842, Average Loss  0.867540, Time  0.372380
2021-09-10 12:36:19.253178 : Epoch 10, Batch   2078, Loss  0.884535, Average Loss  0.867518, Time  0.427453
2021-09-10 12:36:21.153777 : Epoch 10, Batch   2079, Loss  0.859973, Average Loss  0.867511, Time  0.461931
2021-09-10 12:36:22.931111 : Epoch 10, Batch   2080, Loss  0.873583, Average Loss  0.867580, Time  0.363915
2021-09-10 12:36:24.714779 : Epoch 10, Batch   2081, Loss  0.841171, Average Loss  0.867515, Time  0.359784
2021-09-10 12:36:26.505199 : Epoch 10, Batch   2082, Loss  0.850760, Average Loss  0.867491, Time  0.386169
2021-09-10 12:36:28.369762 : Epoch 10, Batch   2083, Loss  0.835001, Average Loss  0.867324, Time  0.452860
2021-09-10 12:36:30.168118 : Epoch 10, Batch   2084, Loss  0.861826, Average Loss  0.867439, Time  0.361526
2021-09-10 12:36:31.952765 : Epoch 10, Batch   2085, Loss  0.870580, Average Loss  0.867162, Time  0.357645
2021-09-10 12:36:33.738106 : Epoch 10, Batch   2086, Loss  0.887337, Average Loss  0.867275, Time  0.367615
2021-09-10 12:36:35.623774 : Epoch 10, Batch   2087, Loss  0.877119, Average Loss  0.867384, Time  0.453792
2021-09-10 12:36:37.410098 : Epoch 10, Batch   2088, Loss  0.908558, Average Loss  0.867573, Time  0.347797
2021-09-10 12:36:39.179769 : Epoch 10, Batch   2089, Loss  0.856420, Average Loss  0.867683, Time  0.364310
2021-09-10 12:36:40.966099 : Epoch 10, Batch   2090, Loss  0.880527, Average Loss  0.867607, Time  0.365825
2021-09-10 12:36:42.873136 : Epoch 10, Batch   2091, Loss  0.881880, Average Loss  0.867658, Time  0.467348
2021-09-10 12:36:44.748227 : Epoch 10, Batch   2092, Loss  0.870360, Average Loss  0.867683, Time  0.438020
2021-09-10 12:36:46.556659 : Epoch 10, Batch   2093, Loss  0.889231, Average Loss  0.867641, Time  0.362593
2021-09-10 12:36:48.328784 : Epoch 10, Batch   2094, Loss  0.877983, Average Loss  0.867706, Time  0.361665
2021-09-10 12:36:50.194100 : Epoch 10, Batch   2095, Loss  0.862833, Average Loss  0.867688, Time  0.432887
2021-09-10 12:36:52.073812 : Epoch 10, Batch   2096, Loss  0.859538, Average Loss  0.867677, Time  0.460088
2021-09-10 12:36:53.863781 : Epoch 10, Batch   2097, Loss  0.849648, Average Loss  0.867599, Time  0.372663
2021-09-10 12:36:55.650701 : Epoch 10, Batch   2098, Loss  0.862821, Average Loss  0.867552, Time  0.358940
2021-09-10 12:36:57.439776 : Epoch 10, Batch   2099, Loss  0.857139, Average Loss  0.867658, Time  0.366190
2021-09-10 12:36:59.355009 : Epoch 10, Batch   2100, Loss  0.851383, Average Loss  0.867467, Time  0.456881
2021-09-10 12:37:01.108187 : Epoch 10, Batch   2101, Loss  0.846938, Average Loss  0.867447, Time  0.346019
2021-09-10 12:41:51.939709 : CheckPoint: Validation Loss  0.00060071, Best Loss  0.00056427
2021-09-10 12:41:53.768278 : Epoch 10, Batch   2102, Loss  0.853384, Average Loss  0.867240, Time  0.411786
2021-09-10 12:41:55.647601 : Epoch 10, Batch   2103, Loss  0.871179, Average Loss  0.867450, Time  0.470206
2021-09-10 12:41:57.423775 : Epoch 10, Batch   2104, Loss  0.864705, Average Loss  0.867556, Time  0.364094
2021-09-10 12:41:59.232078 : Epoch 10, Batch   2105, Loss  0.868947, Average Loss  0.867612, Time  0.356860
2021-09-10 12:42:01.029560 : Epoch 10, Batch   2106, Loss  0.857296, Average Loss  0.867462, Time  0.384425
2021-09-10 12:42:02.892821 : Epoch 10, Batch   2107, Loss  0.844119, Average Loss  0.867386, Time  0.455344
2021-09-10 12:42:04.668877 : Epoch 10, Batch   2108, Loss  0.855221, Average Loss  0.867431, Time  0.359129
2021-09-10 12:42:06.474103 : Epoch 10, Batch   2109, Loss  0.841543, Average Loss  0.867273, Time  0.357987
2021-09-10 12:42:08.286779 : Epoch 10, Batch   2110, Loss  0.874717, Average Loss  0.867355, Time  0.381207
2021-09-10 12:42:10.166836 : Epoch 10, Batch   2111, Loss  0.862363, Average Loss  0.867400, Time  0.454751
2021-09-10 12:42:11.919136 : Epoch 10, Batch   2112, Loss  0.864504, Average Loss  0.867461, Time  0.350115
2021-09-10 12:42:13.680777 : Epoch 10, Batch   2113, Loss  0.860721, Average Loss  0.867290, Time  0.356056
2021-09-10 12:42:15.483595 : Epoch 10, Batch   2114, Loss  0.844438, Average Loss  0.867107, Time  0.372196
2021-09-10 12:42:17.383887 : Epoch 10, Batch   2115, Loss  0.850124, Average Loss  0.867025, Time  0.460191
2021-09-10 12:42:19.141826 : Epoch 10, Batch   2116, Loss  0.881429, Average Loss  0.867080, Time  0.340288
2021-09-10 12:42:20.926790 : Epoch 10, Batch   2117, Loss  0.909040, Average Loss  0.867233, Time  0.359505
2021-09-10 12:42:22.698064 : Epoch 10, Batch   2118, Loss  0.849410, Average Loss  0.867145, Time  0.362677
2021-09-10 12:42:24.574656 : Epoch 10, Batch   2119, Loss  0.879934, Average Loss  0.867211, Time  0.464581
2021-09-10 12:42:26.345776 : Epoch 10, Batch   2120, Loss  0.877590, Average Loss  0.867387, Time  0.358265
2021-09-10 12:42:28.132800 : Epoch 10, Batch   2121, Loss  0.852477, Average Loss  0.867350, Time  0.363079
2021-09-10 12:42:29.920811 : Epoch 10, Batch   2122, Loss  0.870577, Average Loss  0.867295, Time  0.378777
2021-09-10 12:42:31.838780 : Epoch 10, Batch   2123, Loss  0.851790, Average Loss  0.867078, Time  0.468471
2021-09-10 12:42:33.729228 : Epoch 10, Batch   2124, Loss  0.896140, Average Loss  0.867164, Time  0.421907
2021-09-10 12:42:35.549517 : Epoch 10, Batch   2125, Loss  0.885139, Average Loss  0.867236, Time  0.372303
2021-09-10 12:42:37.343060 : Epoch 10, Batch   2126, Loss  0.864119, Average Loss  0.867153, Time  0.358822
2021-09-10 12:42:39.208063 : Epoch 10, Batch   2127, Loss  0.836575, Average Loss  0.866866, Time  0.410264
2021-09-10 12:42:41.084107 : Epoch 10, Batch   2128, Loss  0.864853, Average Loss  0.866757, Time  0.449453
2021-09-10 12:42:42.878249 : Epoch 10, Batch   2129, Loss  0.853864, Average Loss  0.866701, Time  0.363732
2021-09-10 12:42:44.653110 : Epoch 10, Batch   2130, Loss  0.849025, Average Loss  0.866644, Time  0.373786
2021-09-10 12:42:46.441862 : Epoch 10, Batch   2131, Loss  0.854193, Average Loss  0.866621, Time  0.369198
2021-09-10 12:42:48.317219 : Epoch 10, Batch   2132, Loss  0.817480, Average Loss  0.866432, Time  0.452776
2021-09-10 12:42:50.104065 : Epoch 10, Batch   2133, Loss  0.882416, Average Loss  0.866609, Time  0.356995
2021-09-10 12:42:51.894182 : Epoch 10, Batch   2134, Loss  0.883178, Average Loss  0.866735, Time  0.356025
2021-09-10 12:42:53.757853 : Epoch 10, Batch   2135, Loss  0.879044, Average Loss  0.866775, Time  0.370249
2021-09-10 12:42:55.636764 : Epoch 10, Batch   2136, Loss  0.866309, Average Loss  0.866671, Time  0.460159
2021-09-10 12:42:57.491101 : Epoch 10, Batch   2137, Loss  0.884823, Average Loss  0.866747, Time  0.421160
2021-09-10 12:42:59.268778 : Epoch 10, Batch   2138, Loss  0.864875, Average Loss  0.866765, Time  0.357674
2021-09-10 12:43:01.056858 : Epoch 10, Batch   2139, Loss  0.860066, Average Loss  0.866762, Time  0.356847
2021-09-10 12:43:02.914197 : Epoch 10, Batch   2140, Loss  0.864732, Average Loss  0.866655, Time  0.429684
2021-09-10 12:43:04.782815 : Epoch 10, Batch   2141, Loss  0.830705, Average Loss  0.866621, Time  0.453309
2021-09-10 12:43:06.564298 : Epoch 10, Batch   2142, Loss  0.870399, Average Loss  0.866666, Time  0.357603
2021-09-10 12:43:08.323773 : Epoch 10, Batch   2143, Loss  0.867443, Average Loss  0.866775, Time  0.356767
2021-09-10 12:43:10.130174 : Epoch 10, Batch   2144, Loss  0.887549, Average Loss  0.866998, Time  0.407603
2021-09-10 12:43:12.043764 : Epoch 10, Batch   2145, Loss  0.905089, Average Loss  0.867328, Time  0.465406
2021-09-10 12:43:13.799626 : Epoch 10, Batch   2146, Loss  0.833098, Average Loss  0.867326, Time  0.336146
2021-09-10 12:43:15.566144 : Epoch 10, Batch   2147, Loss  0.847379, Average Loss  0.867237, Time  0.358712
2021-09-10 12:43:17.341877 : Epoch 10, Batch   2148, Loss  0.851167, Average Loss  0.867239, Time  0.364727
2021-09-10 12:43:19.211835 : Epoch 10, Batch   2149, Loss  0.867091, Average Loss  0.867192, Time  0.468493
2021-09-10 12:43:20.975903 : Epoch 10, Batch   2150, Loss  0.857908, Average Loss  0.867061, Time  0.362543
2021-09-10 12:43:22.770103 : Epoch 10, Batch   2151, Loss  0.883751, Average Loss  0.867061, Time  0.362882
2021-09-10 12:43:24.570184 : Epoch 10, Batch   2152, Loss  0.911221, Average Loss  0.867249, Time  0.381286
2021-09-10 12:43:26.447819 : Epoch 10, Batch   2153, Loss  0.869484, Average Loss  0.867287, Time  0.461913
2021-09-10 12:43:28.227789 : Epoch 10, Batch   2154, Loss  0.851264, Average Loss  0.867146, Time  0.357465
2021-09-10 12:43:30.007776 : Epoch 10, Batch   2155, Loss  0.859490, Average Loss  0.867179, Time  0.356295
2021-09-10 12:43:31.807173 : Epoch 10, Batch   2156, Loss  0.836791, Average Loss  0.867123, Time  0.385945
2021-09-10 12:43:33.667948 : Epoch 10, Batch   2157, Loss  0.868747, Average Loss  0.867100, Time  0.452833
2021-09-10 12:43:35.448991 : Epoch 10, Batch   2158, Loss  0.844962, Average Loss  0.867094, Time  0.361993
2021-09-10 12:43:37.239108 : Epoch 10, Batch   2159, Loss  0.853076, Average Loss  0.867138, Time  0.355890
2021-09-10 12:43:39.085101 : Epoch 10, Batch   2160, Loss  0.852872, Average Loss  0.867073, Time  0.382887
2021-09-10 12:43:40.983772 : Epoch 10, Batch   2161, Loss  0.862603, Average Loss  0.867001, Time  0.451826
2021-09-10 12:43:42.838784 : Epoch 10, Batch   2162, Loss  0.856321, Average Loss  0.867129, Time  0.412327
2021-09-10 12:43:44.607766 : Epoch 10, Batch   2163, Loss  0.879348, Average Loss  0.867141, Time  0.356266
2021-09-10 12:43:46.376298 : Epoch 10, Batch   2164, Loss  0.865008, Average Loss  0.867361, Time  0.363968
2021-09-10 12:43:48.247786 : Epoch 10, Batch   2165, Loss  0.868505, Average Loss  0.867437, Time  0.445035
2021-09-10 12:43:50.137103 : Epoch 10, Batch   2166, Loss  0.819783, Average Loss  0.867011, Time  0.450212
2021-09-10 12:43:51.928165 : Epoch 10, Batch   2167, Loss  0.862633, Average Loss  0.867125, Time  0.362859
2021-09-10 12:43:53.680778 : Epoch 10, Batch   2168, Loss  0.862940, Average Loss  0.867137, Time  0.349003
2021-09-10 12:43:55.547773 : Epoch 10, Batch   2169, Loss  0.875020, Average Loss  0.867148, Time  0.393079
2021-09-10 12:43:57.421176 : Epoch 10, Batch   2170, Loss  0.853844, Average Loss  0.867079, Time  0.451444
2021-09-10 12:43:59.230763 : Epoch 10, Batch   2171, Loss  0.847806, Average Loss  0.867053, Time  0.356318
2021-09-10 12:44:00.988509 : Epoch 10, Batch   2172, Loss  0.889475, Average Loss  0.867169, Time  0.357792
2021-09-10 12:44:02.811771 : Epoch 10, Batch   2173, Loss  0.842827, Average Loss  0.867221, Time  0.392836
2021-09-10 12:44:04.677226 : Epoch 10, Batch   2174, Loss  0.871604, Average Loss  0.867218, Time  0.461658
2021-09-10 12:44:06.446229 : Epoch 10, Batch   2175, Loss  0.855249, Average Loss  0.867303, Time  0.360835
2021-09-10 12:44:08.237228 : Epoch 10, Batch   2176, Loss  0.870778, Average Loss  0.867208, Time  0.365305
2021-09-10 12:44:10.053204 : Epoch 10, Batch   2177, Loss  0.856885, Average Loss  0.867071, Time  0.388032
2021-09-10 12:44:11.946784 : Epoch 10, Batch   2178, Loss  0.830284, Average Loss  0.866920, Time  0.454179
2021-09-10 12:44:13.741783 : Epoch 10, Batch   2179, Loss  0.878212, Average Loss  0.866892, Time  0.337451
2021-09-10 12:44:15.536812 : Epoch 10, Batch   2180, Loss  0.887045, Average Loss  0.867021, Time  0.371790
2021-09-10 12:44:17.314853 : Epoch 10, Batch   2181, Loss  0.869078, Average Loss  0.867042, Time  0.361110
2021-09-10 12:44:19.187102 : Epoch 10, Batch   2182, Loss  0.874834, Average Loss  0.866938, Time  0.460464
2021-09-10 12:44:20.966595 : Epoch 10, Batch   2183, Loss  0.859231, Average Loss  0.866904, Time  0.351090
2021-09-10 12:44:22.728863 : Epoch 10, Batch   2184, Loss  0.852906, Average Loss  0.866999, Time  0.357390
2021-09-10 12:44:24.522278 : Epoch 10, Batch   2185, Loss  0.893808, Average Loss  0.867104, Time  0.375552
2021-09-10 12:44:26.419230 : Epoch 10, Batch   2186, Loss  0.845152, Average Loss  0.867031, Time  0.453415
2021-09-10 12:44:28.237229 : Epoch 10, Batch   2187, Loss  0.910216, Average Loss  0.867268, Time  0.375873
2021-09-10 12:44:30.008254 : Epoch 10, Batch   2188, Loss  0.880938, Average Loss  0.867254, Time  0.358432
2021-09-10 12:44:31.784902 : Epoch 10, Batch   2189, Loss  0.853036, Average Loss  0.867085, Time  0.357305
2021-09-10 12:44:33.661101 : Epoch 10, Batch   2190, Loss  0.905417, Average Loss  0.867366, Time  0.453377
2021-09-10 12:44:35.538930 : Epoch 10, Batch   2191, Loss  0.854334, Average Loss  0.867113, Time  0.455468
2021-09-10 12:44:37.320230 : Epoch 10, Batch   2192, Loss  0.864338, Average Loss  0.867071, Time  0.375074
2021-09-10 12:44:39.111104 : Epoch 10, Batch   2193, Loss  0.888347, Average Loss  0.867200, Time  0.356769
2021-09-10 12:44:40.951105 : Epoch 10, Batch   2194, Loss  0.829187, Average Loss  0.867041, Time  0.409355
2021-09-10 12:44:42.801780 : Epoch 10, Batch   2195, Loss  0.884154, Average Loss  0.867104, Time  0.448206
2021-09-10 12:44:44.581821 : Epoch 10, Batch   2196, Loss  0.854858, Average Loss  0.866960, Time  0.363336
2021-09-10 12:44:46.364870 : Epoch 10, Batch   2197, Loss  0.850673, Average Loss  0.866778, Time  0.356978
2021-09-10 12:44:48.186234 : Epoch 10, Batch   2198, Loss  0.856395, Average Loss  0.866668, Time  0.390207
2021-09-10 12:44:50.083230 : Epoch 10, Batch   2199, Loss  0.834571, Average Loss  0.866356, Time  0.450171
2021-09-10 12:44:51.858781 : Epoch 10, Batch   2200, Loss  0.866485, Average Loss  0.866408, Time  0.369349
2021-09-10 12:44:53.646231 : Epoch 10, Batch   2201, Loss  0.857868, Average Loss  0.866259, Time  0.372121
2021-09-10 12:49:44.884718 : CheckPoint: Validation Loss  0.00060997, Best Loss  0.00056427
2021-09-10 12:49:46.744781 : Epoch 10, Batch   2202, Loss  0.842835, Average Loss  0.866067, Time  0.418583
2021-09-10 12:49:48.553771 : Epoch 10, Batch   2203, Loss  0.867500, Average Loss  0.866045, Time  0.364147
2021-09-10 12:49:50.334130 : Epoch 10, Batch   2204, Loss  0.862707, Average Loss  0.865932, Time  0.357035
2021-09-10 12:49:52.191152 : Epoch 10, Batch   2205, Loss  0.840081, Average Loss  0.865941, Time  0.442107
2021-09-10 12:49:54.053657 : Epoch 10, Batch   2206, Loss  0.855131, Average Loss  0.865906, Time  0.452371
2021-09-10 12:49:55.815759 : Epoch 10, Batch   2207, Loss  0.870512, Average Loss  0.865945, Time  0.364386
2021-09-10 12:49:57.608755 : Epoch 10, Batch   2208, Loss  0.870027, Average Loss  0.865725, Time  0.383408
2021-09-10 12:49:59.428763 : Epoch 10, Batch   2209, Loss  0.882268, Average Loss  0.865864, Time  0.384629
2021-09-10 12:50:01.305774 : Epoch 10, Batch   2210, Loss  0.871422, Average Loss  0.865956, Time  0.453327
2021-09-10 12:50:03.086850 : Epoch 10, Batch   2211, Loss  0.873333, Average Loss  0.865944, Time  0.362682
2021-09-10 12:50:04.912774 : Epoch 10, Batch   2212, Loss  0.844451, Average Loss  0.865711, Time  0.364802
2021-09-10 12:50:06.710398 : Epoch 10, Batch   2213, Loss  0.867012, Average Loss  0.865728, Time  0.375895
2021-09-10 12:50:08.600977 : Epoch 10, Batch   2214, Loss  0.862542, Average Loss  0.865560, Time  0.466165
2021-09-10 12:50:10.393767 : Epoch 10, Batch   2215, Loss  0.858484, Average Loss  0.865601, Time  0.355784
2021-09-10 12:50:12.174824 : Epoch 10, Batch   2216, Loss  0.881838, Average Loss  0.865622, Time  0.361094
2021-09-10 12:50:13.968055 : Epoch 10, Batch   2217, Loss  0.874581, Average Loss  0.865872, Time  0.386613
2021-09-10 12:50:15.863100 : Epoch 10, Batch   2218, Loss  0.864235, Average Loss  0.865768, Time  0.474046
2021-09-10 12:50:17.631235 : Epoch 10, Batch   2219, Loss  0.871108, Average Loss  0.865910, Time  0.356989
2021-09-10 12:50:19.420776 : Epoch 10, Batch   2220, Loss  0.868300, Average Loss  0.865862, Time  0.363673
2021-09-10 12:50:21.218100 : Epoch 10, Batch   2221, Loss  0.846854, Average Loss  0.865734, Time  0.374329
2021-09-10 12:50:23.076440 : Epoch 10, Batch   2222, Loss  0.870051, Average Loss  0.865831, Time  0.452159
2021-09-10 12:50:24.839108 : Epoch 10, Batch   2223, Loss  0.851992, Average Loss  0.865919, Time  0.358187
2021-09-10 12:50:26.612155 : Epoch 10, Batch   2224, Loss  0.876320, Average Loss  0.865887, Time  0.363358
2021-09-10 12:50:28.415133 : Epoch 10, Batch   2225, Loss  0.847991, Average Loss  0.865752, Time  0.391648
2021-09-10 12:50:30.281121 : Epoch 10, Batch   2226, Loss  0.883862, Average Loss  0.865624, Time  0.453413
2021-09-10 12:50:32.052049 : Epoch 10, Batch   2227, Loss  0.858449, Average Loss  0.865579, Time  0.356956
2021-09-10 12:50:33.821996 : Epoch 10, Batch   2228, Loss  0.850997, Average Loss  0.865541, Time  0.363236
2021-09-10 12:50:35.637472 : Epoch 10, Batch   2229, Loss  0.856254, Average Loss  0.865222, Time  0.404955
2021-09-10 12:50:37.503415 : Epoch 10, Batch   2230, Loss  0.865940, Average Loss  0.865154, Time  0.463604
2021-09-10 12:50:39.284846 : Epoch 10, Batch   2231, Loss  0.859602, Average Loss  0.865064, Time  0.357835
2021-09-10 12:50:41.074765 : Epoch 10, Batch   2232, Loss  0.887982, Average Loss  0.865125, Time  0.356988
2021-09-10 12:50:42.877239 : Epoch 10, Batch   2233, Loss  0.846043, Average Loss  0.865059, Time  0.393294
2021-09-10 12:50:44.761766 : Epoch 10, Batch   2234, Loss  0.876258, Average Loss  0.865051, Time  0.453265
2021-09-10 12:50:46.564377 : Epoch 10, Batch   2235, Loss  0.887825, Average Loss  0.865028, Time  0.358322
2021-09-10 12:50:48.351806 : Epoch 10, Batch   2236, Loss  0.841361, Average Loss  0.864869, Time  0.357350
2021-09-10 12:50:50.179042 : Epoch 10, Batch   2237, Loss  0.855437, Average Loss  0.864693, Time  0.381124
2021-09-10 12:50:52.043923 : Epoch 10, Batch   2238, Loss  0.861758, Average Loss  0.864666, Time  0.459395
2021-09-10 12:50:53.826937 : Epoch 10, Batch   2239, Loss  0.876152, Average Loss  0.864842, Time  0.366513
2021-09-10 12:50:55.617769 : Epoch 10, Batch   2240, Loss  0.889224, Average Loss  0.865128, Time  0.364302
2021-09-10 12:50:57.407176 : Epoch 10, Batch   2241, Loss  0.849343, Average Loss  0.865010, Time  0.384012
2021-09-10 12:50:59.310841 : Epoch 10, Batch   2242, Loss  0.876540, Average Loss  0.865012, Time  0.468130
2021-09-10 12:51:01.098144 : Epoch 10, Batch   2243, Loss  0.878499, Average Loss  0.865054, Time  0.351632
2021-09-10 12:51:02.879906 : Epoch 10, Batch   2244, Loss  0.877023, Average Loss  0.865028, Time  0.361609
2021-09-10 12:51:04.745104 : Epoch 10, Batch   2245, Loss  0.849958, Average Loss  0.864962, Time  0.452659
2021-09-10 12:51:06.623239 : Epoch 10, Batch   2246, Loss  0.862712, Average Loss  0.865086, Time  0.452387
2021-09-10 12:51:08.392853 : Epoch 10, Batch   2247, Loss  0.884454, Average Loss  0.865126, Time  0.361561
2021-09-10 12:51:10.179095 : Epoch 10, Batch   2248, Loss  0.883059, Average Loss  0.865265, Time  0.359403
2021-09-10 12:51:12.001872 : Epoch 10, Batch   2249, Loss  0.871818, Average Loss  0.865336, Time  0.406412
2021-09-10 12:51:13.903110 : Epoch 10, Batch   2250, Loss  0.843969, Average Loss  0.865274, Time  0.476259
2021-09-10 12:51:15.696236 : Epoch 10, Batch   2251, Loss  0.887974, Average Loss  0.865343, Time  0.351832
2021-09-10 12:51:17.476673 : Epoch 10, Batch   2252, Loss  0.855618, Average Loss  0.865171, Time  0.356428
2021-09-10 12:51:19.250180 : Epoch 10, Batch   2253, Loss  0.884378, Average Loss  0.865134, Time  0.365993
2021-09-10 12:51:21.130764 : Epoch 10, Batch   2254, Loss  0.880655, Average Loss  0.865260, Time  0.461830
2021-09-10 12:51:22.988878 : Epoch 10, Batch   2255, Loss  0.827397, Average Loss  0.864896, Time  0.405717
2021-09-10 12:51:24.798766 : Epoch 10, Batch   2256, Loss  0.839260, Average Loss  0.864542, Time  0.375738
2021-09-10 12:51:26.578825 : Epoch 10, Batch   2257, Loss  0.897286, Average Loss  0.864673, Time  0.355097
2021-09-10 12:51:28.438660 : Epoch 10, Batch   2258, Loss  0.857029, Average Loss  0.864653, Time  0.432879
2021-09-10 12:51:30.341259 : Epoch 10, Batch   2259, Loss  0.865176, Average Loss  0.864702, Time  0.461294
2021-09-10 12:51:32.108238 : Epoch 10, Batch   2260, Loss  0.879793, Average Loss  0.864621, Time  0.356632
2021-09-10 12:51:33.868791 : Epoch 10, Batch   2261, Loss  0.890686, Average Loss  0.864744, Time  0.359065
2021-09-10 12:51:35.665107 : Epoch 10, Batch   2262, Loss  0.854142, Average Loss  0.864677, Time  0.390845
2021-09-10 12:51:37.560104 : Epoch 10, Batch   2263, Loss  0.861489, Average Loss  0.864621, Time  0.461741
2021-09-10 12:51:39.348776 : Epoch 10, Batch   2264, Loss  0.871529, Average Loss  0.864632, Time  0.369941
2021-09-10 12:51:41.111103 : Epoch 10, Batch   2265, Loss  0.855024, Average Loss  0.864465, Time  0.364256
2021-09-10 12:51:42.903782 : Epoch 10, Batch   2266, Loss  0.817056, Average Loss  0.864221, Time  0.379204
2021-09-10 12:51:44.785227 : Epoch 10, Batch   2267, Loss  0.895119, Average Loss  0.864527, Time  0.454737
2021-09-10 12:51:46.575766 : Epoch 10, Batch   2268, Loss  0.845308, Average Loss  0.864352, Time  0.352433
2021-09-10 12:51:48.356969 : Epoch 10, Batch   2269, Loss  0.867989, Average Loss  0.864334, Time  0.360380
2021-09-10 12:51:50.153957 : Epoch 10, Batch   2270, Loss  0.862177, Average Loss  0.864388, Time  0.358649
2021-09-10 12:51:52.032955 : Epoch 10, Batch   2271, Loss  0.882272, Average Loss  0.864499, Time  0.453837
2021-09-10 12:51:53.830110 : Epoch 10, Batch   2272, Loss  0.853379, Average Loss  0.864624, Time  0.350990
2021-09-10 12:51:55.625133 : Epoch 10, Batch   2273, Loss  0.887881, Average Loss  0.864744, Time  0.358745
2021-09-10 12:51:57.426214 : Epoch 10, Batch   2274, Loss  0.860494, Average Loss  0.864710, Time  0.373749
2021-09-10 12:51:59.310265 : Epoch 10, Batch   2275, Loss  0.877494, Average Loss  0.864763, Time  0.457804
2021-09-10 12:52:01.084917 : Epoch 10, Batch   2276, Loss  0.862631, Average Loss  0.864641, Time  0.357794
2021-09-10 12:52:02.892142 : Epoch 10, Batch   2277, Loss  0.889501, Average Loss  0.864829, Time  0.364072
2021-09-10 12:52:04.687764 : Epoch 10, Batch   2278, Loss  0.870906, Average Loss  0.864761, Time  0.367076
2021-09-10 12:52:06.559836 : Epoch 10, Batch   2279, Loss  0.844457, Average Loss  0.864683, Time  0.455268
2021-09-10 12:52:08.353038 : Epoch 10, Batch   2280, Loss  0.864787, Average Loss  0.864639, Time  0.358374
2021-09-10 12:52:10.130771 : Epoch 10, Batch   2281, Loss  0.842617, Average Loss  0.864647, Time  0.365353
2021-09-10 12:52:11.953089 : Epoch 10, Batch   2282, Loss  0.851519, Average Loss  0.864650, Time  0.381098
2021-09-10 12:52:13.842775 : Epoch 10, Batch   2283, Loss  0.877878, Average Loss  0.864865, Time  0.460008
2021-09-10 12:52:15.697121 : Epoch 10, Batch   2284, Loss  0.876808, Average Loss  0.864940, Time  0.417603
2021-09-10 12:52:17.483176 : Epoch 10, Batch   2285, Loss  0.877597, Average Loss  0.864975, Time  0.362819
2021-09-10 12:52:19.274113 : Epoch 10, Batch   2286, Loss  0.868430, Average Loss  0.864880, Time  0.360497
2021-09-10 12:52:21.160109 : Epoch 10, Batch   2287, Loss  0.844809, Average Loss  0.864719, Time  0.450968
2021-09-10 12:52:23.065853 : Epoch 10, Batch   2288, Loss  0.881247, Average Loss  0.864582, Time  0.452847
2021-09-10 12:52:24.839956 : Epoch 10, Batch   2289, Loss  0.879867, Average Loss  0.864699, Time  0.336198
2021-09-10 12:52:26.621179 : Epoch 10, Batch   2290, Loss  0.904843, Average Loss  0.864821, Time  0.357965
2021-09-10 12:52:28.407172 : Epoch 10, Batch   2291, Loss  0.860596, Average Loss  0.864714, Time  0.362592
2021-09-10 12:52:30.314127 : Epoch 10, Batch   2292, Loss  0.880126, Average Loss  0.864763, Time  0.456015
2021-09-10 12:52:32.095235 : Epoch 10, Batch   2293, Loss  0.844635, Average Loss  0.864540, Time  0.341912
2021-09-10 12:52:33.855778 : Epoch 10, Batch   2294, Loss  0.873085, Average Loss  0.864516, Time  0.357791
2021-09-10 12:52:35.635221 : Epoch 10, Batch   2295, Loss  0.860229, Average Loss  0.864503, Time  0.370466
2021-09-10 12:52:37.502524 : Epoch 10, Batch   2296, Loss  0.873521, Average Loss  0.864573, Time  0.461629
2021-09-10 12:52:39.279657 : Epoch 10, Batch   2297, Loss  0.883253, Average Loss  0.864741, Time  0.353202
2021-09-10 12:52:41.047993 : Epoch 10, Batch   2298, Loss  0.888262, Average Loss  0.864868, Time  0.363435
2021-09-10 12:52:42.842774 : Epoch 10, Batch   2299, Loss  0.882620, Average Loss  0.864995, Time  0.379638
2021-09-10 12:52:44.734020 : Epoch 10, Batch   2300, Loss  0.881683, Average Loss  0.865147, Time  0.461287
2021-09-10 12:52:46.517781 : Epoch 10, Batch   2301, Loss  0.864024, Average Loss  0.865232, Time  0.363666
2021-09-10 12:57:37.633704 : CheckPoint: Validation Loss  0.00059061, Best Loss  0.00056427
2021-09-10 12:57:39.390934 : Epoch 10, Batch   2302, Loss  0.878557, Average Loss  0.865358, Time  0.338155
2021-09-10 12:57:41.177777 : Epoch 10, Batch   2303, Loss  0.879300, Average Loss  0.865399, Time  0.358536
2021-09-10 12:57:42.964180 : Epoch 10, Batch   2304, Loss  0.889137, Average Loss  0.865521, Time  0.355347
2021-09-10 12:57:44.863759 : Epoch 10, Batch   2305, Loss  0.835827, Average Loss  0.865355, Time  0.462508
2021-09-10 12:57:46.638964 : Epoch 10, Batch   2306, Loss  0.852331, Average Loss  0.865330, Time  0.346376
2021-09-10 12:57:48.423487 : Epoch 10, Batch   2307, Loss  0.856035, Average Loss  0.865390, Time  0.362746
2021-09-10 12:57:50.205795 : Epoch 10, Batch   2308, Loss  0.853838, Average Loss  0.865383, Time  0.361570
2021-09-10 12:57:52.114108 : Epoch 10, Batch   2309, Loss  0.816256, Average Loss  0.865257, Time  0.454822
2021-09-10 12:57:53.948694 : Epoch 10, Batch   2310, Loss  0.859515, Average Loss  0.865181, Time  0.417437
2021-09-10 12:57:55.730095 : Epoch 10, Batch   2311, Loss  0.822212, Average Loss  0.864980, Time  0.358629
2021-09-10 12:57:57.516298 : Epoch 10, Batch   2312, Loss  0.865567, Average Loss  0.864985, Time  0.358857
2021-09-10 12:57:59.392092 : Epoch 10, Batch   2313, Loss  0.873353, Average Loss  0.865048, Time  0.450703
2021-09-10 12:58:01.265776 : Epoch 10, Batch   2314, Loss  0.852916, Average Loss  0.865091, Time  0.452264
2021-09-10 12:58:03.066973 : Epoch 10, Batch   2315, Loss  0.887501, Average Loss  0.865278, Time  0.357854
2021-09-10 12:58:04.852772 : Epoch 10, Batch   2316, Loss  0.886895, Average Loss  0.865305, Time  0.362920
2021-09-10 12:58:06.656780 : Epoch 10, Batch   2317, Loss  0.892292, Average Loss  0.865221, Time  0.389946
2021-09-10 12:58:08.557835 : Epoch 10, Batch   2318, Loss  0.881982, Average Loss  0.865384, Time  0.453418
2021-09-10 12:58:10.335737 : Epoch 10, Batch   2319, Loss  0.880604, Average Loss  0.865387, Time  0.370729
2021-09-10 12:58:12.149934 : Epoch 10, Batch   2320, Loss  0.863023, Average Loss  0.865315, Time  0.363293
2021-09-10 12:58:13.961766 : Epoch 10, Batch   2321, Loss  0.880948, Average Loss  0.865457, Time  0.373611
2021-09-10 12:58:15.875996 : Epoch 10, Batch   2322, Loss  0.864095, Average Loss  0.865425, Time  0.466618
2021-09-10 12:58:17.669762 : Epoch 10, Batch   2323, Loss  0.860813, Average Loss  0.865470, Time  0.350813
2021-09-10 12:58:19.466087 : Epoch 10, Batch   2324, Loss  0.853873, Average Loss  0.865258, Time  0.357893
2021-09-10 12:58:21.241469 : Epoch 10, Batch   2325, Loss  0.872369, Average Loss  0.865195, Time  0.356554
2021-09-10 12:58:23.180103 : Epoch 10, Batch   2326, Loss  0.871928, Average Loss  0.865234, Time  0.460892
2021-09-10 12:58:25.081837 : Epoch 10, Batch   2327, Loss  0.848611, Average Loss  0.865294, Time  0.446715
2021-09-10 12:58:26.893873 : Epoch 10, Batch   2328, Loss  0.886151, Average Loss  0.865400, Time  0.376053
2021-09-10 12:58:28.681448 : Epoch 10, Batch   2329, Loss  0.868533, Average Loss  0.865474, Time  0.358966
2021-09-10 12:58:30.532180 : Epoch 10, Batch   2330, Loss  0.871801, Average Loss  0.865587, Time  0.418230
2021-09-10 12:58:32.415066 : Epoch 10, Batch   2331, Loss  0.890268, Average Loss  0.865768, Time  0.453863
2021-09-10 12:58:34.244911 : Epoch 10, Batch   2332, Loss  0.873398, Average Loss  0.866047, Time  0.402951
2021-09-10 12:58:36.117929 : Epoch 10, Batch   2333, Loss  0.880578, Average Loss  0.866038, Time  0.358835
2021-09-10 12:58:37.939887 : Epoch 10, Batch   2334, Loss  0.858409, Average Loss  0.865914, Time  0.386614
2021-09-10 12:58:39.819228 : Epoch 10, Batch   2335, Loss  0.866264, Average Loss  0.865851, Time  0.455444
2021-09-10 12:58:41.588796 : Epoch 10, Batch   2336, Loss  0.890287, Average Loss  0.865970, Time  0.364120
2021-09-10 12:58:43.351828 : Epoch 10, Batch   2337, Loss  0.845884, Average Loss  0.865776, Time  0.365150
2021-09-10 12:58:45.176038 : Epoch 10, Batch   2338, Loss  0.862790, Average Loss  0.865765, Time  0.393585
2021-09-10 12:58:47.048828 : Epoch 10, Batch   2339, Loss  0.851398, Average Loss  0.865722, Time  0.462706
2021-09-10 12:58:48.846823 : Epoch 10, Batch   2340, Loss  0.883574, Average Loss  0.865816, Time  0.369489
2021-09-10 12:58:50.682911 : Epoch 10, Batch   2341, Loss  0.872850, Average Loss  0.866027, Time  0.366368
2021-09-10 12:58:52.452870 : Epoch 10, Batch   2342, Loss  0.878717, Average Loss  0.866068, Time  0.367585
2021-09-10 12:58:54.308374 : Epoch 10, Batch   2343, Loss  0.862356, Average Loss  0.866043, Time  0.450659
2021-09-10 12:58:56.095247 : Epoch 10, Batch   2344, Loss  0.882745, Average Loss  0.866019, Time  0.364643
2021-09-10 12:58:57.882840 : Epoch 10, Batch   2345, Loss  0.886527, Average Loss  0.865926, Time  0.360632
2021-09-10 12:58:59.694820 : Epoch 10, Batch   2346, Loss  0.873992, Average Loss  0.866131, Time  0.391398
2021-09-10 12:59:01.609845 : Epoch 10, Batch   2347, Loss  0.871462, Average Loss  0.866251, Time  0.449247
2021-09-10 12:59:03.433889 : Epoch 10, Batch   2348, Loss  0.863888, Average Loss  0.866315, Time  0.371220
2021-09-10 12:59:05.245778 : Epoch 10, Batch   2349, Loss  0.898275, Average Loss  0.866471, Time  0.357900
2021-09-10 12:59:07.041227 : Epoch 10, Batch   2350, Loss  0.899923, Average Loss  0.866681, Time  0.357178
2021-09-10 12:59:08.940775 : Epoch 10, Batch   2351, Loss  0.863933, Average Loss  0.866582, Time  0.454233
2021-09-10 12:59:10.845218 : Epoch 10, Batch   2352, Loss  0.874079, Average Loss  0.866396, Time  0.457871
2021-09-10 12:59:12.634777 : Epoch 10, Batch   2353, Loss  0.888510, Average Loss  0.866491, Time  0.363686
2021-09-10 12:59:14.427167 : Epoch 10, Batch   2354, Loss  0.877760, Average Loss  0.866623, Time  0.356285
2021-09-10 12:59:16.240872 : Epoch 10, Batch   2355, Loss  0.851974, Average Loss  0.866586, Time  0.386861
2021-09-10 12:59:18.139784 : Epoch 10, Batch   2356, Loss  0.851438, Average Loss  0.866659, Time  0.455232
2021-09-10 12:59:19.919826 : Epoch 10, Batch   2357, Loss  0.897517, Average Loss  0.866803, Time  0.357878
2021-09-10 12:59:21.682981 : Epoch 10, Batch   2358, Loss  0.870531, Average Loss  0.866931, Time  0.356880
2021-09-10 12:59:23.494851 : Epoch 10, Batch   2359, Loss  0.850348, Average Loss  0.866917, Time  0.375723
2021-09-10 12:59:25.376240 : Epoch 10, Batch   2360, Loss  0.876374, Average Loss  0.867035, Time  0.457862
2021-09-10 12:59:27.162803 : Epoch 10, Batch   2361, Loss  0.865563, Average Loss  0.867050, Time  0.356688
2021-09-10 12:59:28.978212 : Epoch 10, Batch   2362, Loss  0.866896, Average Loss  0.867102, Time  0.367810
2021-09-10 12:59:30.772151 : Epoch 10, Batch   2363, Loss  0.826450, Average Loss  0.866838, Time  0.374076
2021-09-10 12:59:32.640172 : Epoch 10, Batch   2364, Loss  0.868702, Average Loss  0.866856, Time  0.450521
2021-09-10 12:59:34.445764 : Epoch 10, Batch   2365, Loss  0.849716, Average Loss  0.866762, Time  0.356851
2021-09-10 12:59:36.266160 : Epoch 10, Batch   2366, Loss  0.862575, Average Loss  0.866976, Time  0.357381
2021-09-10 12:59:38.097779 : Epoch 10, Batch   2367, Loss  0.898452, Average Loss  0.867155, Time  0.365689
2021-09-10 12:59:39.986171 : Epoch 10, Batch   2368, Loss  0.876630, Average Loss  0.867224, Time  0.451218
2021-09-10 12:59:41.835782 : Epoch 10, Batch   2369, Loss  0.868578, Average Loss  0.867192, Time  0.406756
2021-09-10 12:59:43.633825 : Epoch 10, Batch   2370, Loss  0.864818, Average Loss  0.867247, Time  0.358110
2021-09-10 12:59:45.402828 : Epoch 10, Batch   2371, Loss  0.872080, Average Loss  0.867368, Time  0.360758
2021-09-10 12:59:47.272232 : Epoch 10, Batch   2372, Loss  0.841336, Average Loss  0.867127, Time  0.443274
2021-09-10 12:59:49.164224 : Epoch 10, Batch   2373, Loss  0.850577, Average Loss  0.867166, Time  0.460468
2021-09-10 12:59:50.935238 : Epoch 10, Batch   2374, Loss  0.847167, Average Loss  0.867044, Time  0.367573
2021-09-10 12:59:52.722101 : Epoch 10, Batch   2375, Loss  0.905091, Average Loss  0.867293, Time  0.362303
2021-09-10 12:59:54.548141 : Epoch 10, Batch   2376, Loss  0.897936, Average Loss  0.867429, Time  0.383612
2021-09-10 12:59:56.459779 : Epoch 10, Batch   2377, Loss  0.846400, Average Loss  0.867376, Time  0.467087
2021-09-10 12:59:58.240230 : Epoch 10, Batch   2378, Loss  0.858096, Average Loss  0.867515, Time  0.355942
2021-09-10 13:00:00.021082 : Epoch 10, Batch   2379, Loss  0.895842, Average Loss  0.867604, Time  0.358498
2021-09-10 13:00:01.839815 : Epoch 10, Batch   2380, Loss  0.853722, Average Loss  0.867437, Time  0.370268
2021-09-10 13:00:03.746163 : Epoch 10, Batch   2381, Loss  0.881767, Average Loss  0.867500, Time  0.452705
2021-09-10 13:00:05.594845 : Epoch 10, Batch   2382, Loss  0.870808, Average Loss  0.867480, Time  0.413348
2021-09-10 13:00:07.377774 : Epoch 10, Batch   2383, Loss  0.903591, Average Loss  0.867702, Time  0.361761
2021-09-10 13:00:09.173067 : Epoch 10, Batch   2384, Loss  0.874069, Average Loss  0.867808, Time  0.355848
2021-09-10 13:00:11.049164 : Epoch 10, Batch   2385, Loss  0.875949, Average Loss  0.867719, Time  0.429982
2021-09-10 13:00:12.938215 : Epoch 10, Batch   2386, Loss  0.850749, Average Loss  0.867747, Time  0.449555
2021-09-10 13:00:14.729092 : Epoch 10, Batch   2387, Loss  0.869256, Average Loss  0.867542, Time  0.356152
2021-09-10 13:00:16.514093 : Epoch 10, Batch   2388, Loss  0.879201, Average Loss  0.867533, Time  0.356187
2021-09-10 13:00:18.330906 : Epoch 10, Batch   2389, Loss  0.867356, Average Loss  0.867605, Time  0.383419
2021-09-10 13:00:20.215084 : Epoch 10, Batch   2390, Loss  0.875940, Average Loss  0.867457, Time  0.459074
2021-09-10 13:00:22.016883 : Epoch 10, Batch   2391, Loss  0.862387, Average Loss  0.867498, Time  0.359091
2021-09-10 13:00:23.824960 : Epoch 10, Batch   2392, Loss  0.839387, Average Loss  0.867373, Time  0.359802
2021-09-10 13:00:25.611775 : Epoch 10, Batch   2393, Loss  0.847803, Average Loss  0.867170, Time  0.370782
2021-09-10 13:00:27.504805 : Epoch 10, Batch   2394, Loss  0.886284, Average Loss  0.867456, Time  0.461021
2021-09-10 13:00:29.305804 : Epoch 10, Batch   2395, Loss  0.864572, Average Loss  0.867358, Time  0.356614
2021-09-10 13:00:31.124821 : Epoch 10, Batch   2396, Loss  0.901668, Average Loss  0.867592, Time  0.369327
2021-09-10 13:00:32.909763 : Epoch 10, Batch   2397, Loss  0.878119, Average Loss  0.867729, Time  0.355986
2021-09-10 13:00:34.779931 : Epoch 10, Batch   2398, Loss  0.845851, Average Loss  0.867676, Time  0.452476
2021-09-10 13:00:36.540867 : Epoch 10, Batch   2399, Loss  0.922234, Average Loss  0.868115, Time  0.362039
2021-09-10 13:00:38.334212 : Epoch 10, Batch   2400, Loss  0.834273, Average Loss  0.867954, Time  0.369517
2021-09-10 13:00:40.171212 : Epoch 10, Batch   2401, Loss  0.912983, Average Loss  0.868229, Time  0.403039
2021-09-10 13:05:30.406730 : CheckPoint: Validation Loss  0.00060405, Best Loss  0.00056427
2021-09-10 13:05:32.255772 : Epoch 10, Batch   2402, Loss  0.886179, Average Loss  0.868446, Time  0.433161
2021-09-10 13:05:34.137759 : Epoch 10, Batch   2403, Loss  0.881293, Average Loss  0.868515, Time  0.451327
2021-09-10 13:05:35.933775 : Epoch 10, Batch   2404, Loss  0.872692, Average Loss  0.868565, Time  0.365347
2021-09-10 13:05:37.716064 : Epoch 10, Batch   2405, Loss  0.882651, Average Loss  0.868778, Time  0.357337
2021-09-10 13:05:39.526026 : Epoch 10, Batch   2406, Loss  0.860233, Average Loss  0.868803, Time  0.366661
2021-09-10 13:05:41.421764 : Epoch 10, Batch   2407, Loss  0.874309, Average Loss  0.868822, Time  0.451577
2021-09-10 13:05:43.217062 : Epoch 10, Batch   2408, Loss  0.876797, Average Loss  0.868856, Time  0.345438
2021-09-10 13:05:45.039763 : Epoch 10, Batch   2409, Loss  0.892045, Average Loss  0.868905, Time  0.356481
2021-09-10 13:05:46.835775 : Epoch 10, Batch   2410, Loss  0.878257, Average Loss  0.868939, Time  0.357460
2021-09-10 13:05:48.705107 : Epoch 10, Batch   2411, Loss  0.870150, Average Loss  0.868923, Time  0.460382
2021-09-10 13:05:50.588761 : Epoch 10, Batch   2412, Loss  0.864692, Average Loss  0.869024, Time  0.455646
2021-09-10 13:05:52.378147 : Epoch 10, Batch   2413, Loss  0.830736, Average Loss  0.868843, Time  0.367870
2021-09-10 13:05:54.157821 : Epoch 10, Batch   2414, Loss  0.869087, Average Loss  0.868876, Time  0.356775
2021-09-10 13:05:55.988090 : Epoch 10, Batch   2415, Loss  0.882298, Average Loss  0.868995, Time  0.402228
2021-09-10 13:05:57.864781 : Epoch 10, Batch   2416, Loss  0.876419, Average Loss  0.868968, Time  0.451652
2021-09-10 13:05:59.669777 : Epoch 10, Batch   2417, Loss  0.870525, Average Loss  0.868947, Time  0.355412
2021-09-10 13:06:01.468085 : Epoch 10, Batch   2418, Loss  0.869965, Average Loss  0.868976, Time  0.355585
2021-09-10 13:06:03.293032 : Epoch 10, Batch   2419, Loss  0.879749, Average Loss  0.869019, Time  0.374318
2021-09-10 13:06:05.183092 : Epoch 10, Batch   2420, Loss  0.877864, Average Loss  0.869067, Time  0.448764
2021-09-10 13:06:06.970068 : Epoch 10, Batch   2421, Loss  0.848567, Average Loss  0.869076, Time  0.348893
2021-09-10 13:06:08.745760 : Epoch 10, Batch   2422, Loss  0.897159, Average Loss  0.869211, Time  0.357229
2021-09-10 13:06:10.535233 : Epoch 10, Batch   2423, Loss  0.872443, Average Loss  0.869313, Time  0.365358
2021-09-10 13:06:12.420778 : Epoch 10, Batch   2424, Loss  0.851174, Average Loss  0.869188, Time  0.454853
2021-09-10 13:06:14.200769 : Epoch 10, Batch   2425, Loss  0.847527, Average Loss  0.869185, Time  0.342980
2021-09-10 13:06:16.000843 : Epoch 10, Batch   2426, Loss  0.880573, Average Loss  0.869169, Time  0.366195
2021-09-10 13:06:17.812759 : Epoch 10, Batch   2427, Loss  0.852640, Average Loss  0.869140, Time  0.371263
2021-09-10 13:06:19.724840 : Epoch 10, Batch   2428, Loss  0.835426, Average Loss  0.869062, Time  0.465028
2021-09-10 13:06:21.606766 : Epoch 10, Batch   2429, Loss  0.850211, Average Loss  0.869032, Time  0.432484
2021-09-10 13:06:23.381827 : Epoch 10, Batch   2430, Loss  0.860093, Average Loss  0.869002, Time  0.364427
2021-09-10 13:06:25.162808 : Epoch 10, Batch   2431, Loss  0.837289, Average Loss  0.868891, Time  0.356358
2021-09-10 13:06:27.044898 : Epoch 10, Batch   2432, Loss  0.869861, Average Loss  0.868800, Time  0.431121
2021-09-10 13:06:28.955082 : Epoch 10, Batch   2433, Loss  0.878716, Average Loss  0.868964, Time  0.452373
2021-09-10 13:06:30.790174 : Epoch 10, Batch   2434, Loss  0.870181, Average Loss  0.868933, Time  0.349089
2021-09-10 13:06:32.561233 : Epoch 10, Batch   2435, Loss  0.859398, Average Loss  0.868791, Time  0.362119
2021-09-10 13:06:34.342010 : Epoch 10, Batch   2436, Loss  0.878312, Average Loss  0.868976, Time  0.367508
2021-09-10 13:06:36.230172 : Epoch 10, Batch   2437, Loss  0.841434, Average Loss  0.868906, Time  0.449023
2021-09-10 13:06:38.027761 : Epoch 10, Batch   2438, Loss  0.852252, Average Loss  0.868858, Time  0.356226
2021-09-10 13:06:39.825815 : Epoch 10, Batch   2439, Loss  0.896408, Average Loss  0.868960, Time  0.357014
2021-09-10 13:06:41.631087 : Epoch 10, Batch   2440, Loss  0.881562, Average Loss  0.868921, Time  0.357803
2021-09-10 13:06:43.483883 : Epoch 10, Batch   2441, Loss  0.863377, Average Loss  0.868992, Time  0.452754
2021-09-10 13:06:45.258212 : Epoch 10, Batch   2442, Loss  0.866352, Average Loss  0.868941, Time  0.356548
2021-09-10 13:06:47.038102 : Epoch 10, Batch   2443, Loss  0.890773, Average Loss  0.869002, Time  0.367055
2021-09-10 13:06:48.861211 : Epoch 10, Batch   2444, Loss  0.858731, Average Loss  0.868910, Time  0.401227
2021-09-10 13:06:50.724172 : Epoch 10, Batch   2445, Loss  0.879697, Average Loss  0.869059, Time  0.451477
2021-09-10 13:06:52.535877 : Epoch 10, Batch   2446, Loss  0.895645, Average Loss  0.869224, Time  0.363982
2021-09-10 13:06:54.326815 : Epoch 10, Batch   2447, Loss  0.862946, Average Loss  0.869116, Time  0.365860
2021-09-10 13:06:56.119939 : Epoch 10, Batch   2448, Loss  0.861820, Average Loss  0.869010, Time  0.375006
2021-09-10 13:06:58.019784 : Epoch 10, Batch   2449, Loss  0.857940, Average Loss  0.868941, Time  0.452172
2021-09-10 13:06:59.788902 : Epoch 10, Batch   2450, Loss  0.853167, Average Loss  0.868987, Time  0.335647
2021-09-10 13:07:01.577080 : Epoch 10, Batch   2451, Loss  0.854268, Average Loss  0.868818, Time  0.357502
2021-09-10 13:07:03.400121 : Epoch 10, Batch   2452, Loss  0.889433, Average Loss  0.868987, Time  0.360909
2021-09-10 13:07:05.277854 : Epoch 10, Batch   2453, Loss  0.845213, Average Loss  0.868791, Time  0.458874
2021-09-10 13:07:07.068088 : Epoch 10, Batch   2454, Loss  0.839608, Average Loss  0.868586, Time  0.356543
2021-09-10 13:07:08.869833 : Epoch 10, Batch   2455, Loss  0.821777, Average Loss  0.868558, Time  0.357724
2021-09-10 13:07:10.692882 : Epoch 10, Batch   2456, Loss  0.861701, Average Loss  0.868670, Time  0.357553
2021-09-10 13:07:12.601801 : Epoch 10, Batch   2457, Loss  0.866679, Average Loss  0.868517, Time  0.451106
2021-09-10 13:07:14.473894 : Epoch 10, Batch   2458, Loss  0.860338, Average Loss  0.868534, Time  0.416821
2021-09-10 13:07:16.265077 : Epoch 10, Batch   2459, Loss  0.867812, Average Loss  0.868547, Time  0.356869
2021-09-10 13:07:18.071278 : Epoch 10, Batch   2460, Loss  0.884825, Average Loss  0.868572, Time  0.357127
2021-09-10 13:07:19.939090 : Epoch 10, Batch   2461, Loss  0.860745, Average Loss  0.868422, Time  0.421509
2021-09-10 13:07:21.840798 : Epoch 10, Batch   2462, Loss  0.873442, Average Loss  0.868519, Time  0.450687
2021-09-10 13:07:23.615264 : Epoch 10, Batch   2463, Loss  0.877954, Average Loss  0.868601, Time  0.335513
2021-09-10 13:07:25.386818 : Epoch 10, Batch   2464, Loss  0.895371, Average Loss  0.868720, Time  0.356183
2021-09-10 13:07:27.177768 : Epoch 10, Batch   2465, Loss  0.834384, Average Loss  0.868617, Time  0.356735
2021-09-10 13:07:29.068908 : Epoch 10, Batch   2466, Loss  0.882695, Average Loss  0.868945, Time  0.471946
2021-09-10 13:07:30.937772 : Epoch 10, Batch   2467, Loss  0.850078, Average Loss  0.868720, Time  0.348470
2021-09-10 13:07:32.707226 : Epoch 10, Batch   2468, Loss  0.858210, Average Loss  0.868785, Time  0.356701
2021-09-10 13:07:34.484808 : Epoch 10, Batch   2469, Loss  0.882295, Average Loss  0.868856, Time  0.372337
2021-09-10 13:07:36.353084 : Epoch 10, Batch   2470, Loss  0.890162, Average Loss  0.868996, Time  0.448751
2021-09-10 13:07:38.135031 : Epoch 10, Batch   2471, Loss  0.851669, Average Loss  0.868843, Time  0.356226
2021-09-10 13:07:39.914787 : Epoch 10, Batch   2472, Loss  0.872469, Average Loss  0.868939, Time  0.357177
2021-09-10 13:07:41.745180 : Epoch 10, Batch   2473, Loss  0.860018, Average Loss  0.868799, Time  0.384492
2021-09-10 13:07:43.653229 : Epoch 10, Batch   2474, Loss  0.861610, Average Loss  0.868805, Time  0.465587
2021-09-10 13:07:45.469289 : Epoch 10, Batch   2475, Loss  0.848084, Average Loss  0.868658, Time  0.379153
2021-09-10 13:07:47.228215 : Epoch 10, Batch   2476, Loss  0.832315, Average Loss  0.868506, Time  0.354237
2021-09-10 13:07:49.031128 : Epoch 10, Batch   2477, Loss  0.871686, Average Loss  0.868417, Time  0.365904
2021-09-10 13:07:50.912938 : Epoch 10, Batch   2478, Loss  0.863636, Average Loss  0.868381, Time  0.466290
2021-09-10 13:07:52.796140 : Epoch 10, Batch   2479, Loss  0.873637, Average Loss  0.868527, Time  0.449788
2021-09-10 13:07:54.589230 : Epoch 10, Batch   2480, Loss  0.893951, Average Loss  0.868673, Time  0.357205
2021-09-10 13:07:56.368906 : Epoch 10, Batch   2481, Loss  0.861916, Average Loss  0.868769, Time  0.363786
2021-09-10 13:07:58.186983 : Epoch 10, Batch   2482, Loss  0.872156, Average Loss  0.868872, Time  0.401337
2021-09-10 13:08:00.065848 : Epoch 10, Batch   2483, Loss  0.878400, Average Loss  0.868875, Time  0.450681
2021-09-10 13:08:01.857867 : Epoch 10, Batch   2484, Loss  0.849021, Average Loss  0.868736, Time  0.354847
2021-09-10 13:08:03.675238 : Epoch 10, Batch   2485, Loss  0.882295, Average Loss  0.868759, Time  0.384937
2021-09-10 13:08:05.471782 : Epoch 10, Batch   2486, Loss  0.879371, Average Loss  0.868814, Time  0.361772
2021-09-10 13:08:07.349214 : Epoch 10, Batch   2487, Loss  0.884888, Average Loss  0.869015, Time  0.467448
2021-09-10 13:08:09.110766 : Epoch 10, Batch   2488, Loss  0.865094, Average Loss  0.868934, Time  0.357059
2021-09-10 13:08:10.900099 : Epoch 10, Batch   2489, Loss  0.848054, Average Loss  0.868775, Time  0.363173
2021-09-10 13:08:12.721098 : Epoch 10, Batch   2490, Loss  0.891384, Average Loss  0.868707, Time  0.375488
2021-09-10 13:08:14.620226 : Epoch 10, Batch   2491, Loss  0.869422, Average Loss  0.868752, Time  0.460700
2021-09-10 13:08:16.405116 : Epoch 10, Batch   2492, Loss  0.884610, Average Loss  0.868774, Time  0.342741
2021-09-10 13:08:18.219777 : Epoch 10, Batch   2493, Loss  0.859973, Average Loss  0.868851, Time  0.357275
2021-09-10 13:08:20.044111 : Epoch 10, Batch   2494, Loss  0.834019, Average Loss  0.868655, Time  0.376593
2021-09-10 13:08:21.953257 : Epoch 10, Batch   2495, Loss  0.868291, Average Loss  0.868696, Time  0.472222
2021-09-10 13:08:23.834242 : Epoch 10, Batch   2496, Loss  0.897418, Average Loss  0.868815, Time  0.464921
2021-09-10 13:08:25.654759 : Epoch 10, Batch   2497, Loss  0.816628, Average Loss  0.868482, Time  0.360862
2021-09-10 13:08:27.449109 : Epoch 10, Batch   2498, Loss  0.863766, Average Loss  0.868360, Time  0.365993
2021-09-10 13:08:29.287765 : Epoch 10, Batch   2499, Loss  0.855097, Average Loss  0.868222, Time  0.405528
2021-09-10 13:08:31.225090 : Epoch 10, Batch   2500, Loss  0.852426, Average Loss  0.868076, Time  0.456051
2021-09-10 13:08:33.062784 : Epoch 10, Batch   2501, Loss  0.861099, Average Loss  0.868061, Time  0.421541
2021-09-10 13:13:23.605732 : CheckPoint: Validation Loss  0.00059339, Best Loss  0.00056427
2021-09-10 13:13:25.474083 : Epoch 10, Batch   2502, Loss  0.876454, Average Loss  0.868050, Time  0.421192
2021-09-10 13:13:27.264790 : Epoch 10, Batch   2503, Loss  0.873918, Average Loss  0.868024, Time  0.366102
2021-09-10 13:13:29.068095 : Epoch 10, Batch   2504, Loss  0.886559, Average Loss  0.868011, Time  0.373896
2021-09-10 13:13:30.901771 : Epoch 10, Batch   2505, Loss  0.869722, Average Loss  0.868180, Time  0.437722
2021-09-10 13:13:32.802806 : Epoch 10, Batch   2506, Loss  0.885843, Average Loss  0.868348, Time  0.451589
2021-09-10 13:13:34.598775 : Epoch 10, Batch   2507, Loss  0.880048, Average Loss  0.868468, Time  0.369401
2021-09-10 13:13:36.368778 : Epoch 10, Batch   2508, Loss  0.899078, Average Loss  0.868694, Time  0.364986
2021-09-10 13:13:38.165775 : Epoch 10, Batch   2509, Loss  0.897413, Average Loss  0.869100, Time  0.379951
2021-09-10 13:13:40.100772 : Epoch 10, Batch   2510, Loss  0.848184, Average Loss  0.869043, Time  0.470872
2021-09-10 13:13:41.981108 : Epoch 10, Batch   2511, Loss  0.881719, Average Loss  0.869341, Time  0.439073
2021-09-10 13:13:43.755763 : Epoch 10, Batch   2512, Loss  0.884600, Average Loss  0.869436, Time  0.366835
2021-09-10 13:13:45.529772 : Epoch 10, Batch   2513, Loss  0.894571, Average Loss  0.869542, Time  0.364465
2021-09-10 13:13:47.356782 : Epoch 10, Batch   2514, Loss  0.868865, Average Loss  0.869622, Time  0.428202
2021-09-10 13:13:49.217776 : Epoch 10, Batch   2515, Loss  0.893250, Average Loss  0.869650, Time  0.456544
2021-09-10 13:13:50.994896 : Epoch 10, Batch   2516, Loss  0.858452, Average Loss  0.869508, Time  0.363580
2021-09-10 13:13:52.783101 : Epoch 10, Batch   2517, Loss  0.875417, Average Loss  0.869424, Time  0.358593
2021-09-10 13:13:54.600106 : Epoch 10, Batch   2518, Loss  0.863637, Average Loss  0.869332, Time  0.390293
2021-09-10 13:13:56.487459 : Epoch 10, Batch   2519, Loss  0.874259, Average Loss  0.869300, Time  0.464094
2021-09-10 13:13:58.269893 : Epoch 10, Batch   2520, Loss  0.878444, Average Loss  0.869377, Time  0.373338
2021-09-10 13:14:00.055878 : Epoch 10, Batch   2521, Loss  0.870311, Average Loss  0.869324, Time  0.356018
2021-09-10 13:14:01.835432 : Epoch 10, Batch   2522, Loss  0.842855, Average Loss  0.869218, Time  0.369344
2021-09-10 13:14:03.701776 : Epoch 10, Batch   2523, Loss  0.904189, Average Loss  0.869435, Time  0.456281
2021-09-10 13:14:05.473086 : Epoch 10, Batch   2524, Loss  0.887629, Average Loss  0.869604, Time  0.356526
2021-09-10 13:14:07.260924 : Epoch 10, Batch   2525, Loss  0.834241, Average Loss  0.869413, Time  0.355602
2021-09-10 13:14:09.074776 : Epoch 10, Batch   2526, Loss  0.884085, Average Loss  0.869474, Time  0.394694
2021-09-10 13:14:10.947232 : Epoch 10, Batch   2527, Loss  0.867209, Average Loss  0.869567, Time  0.452583
2021-09-10 13:14:12.715797 : Epoch 10, Batch   2528, Loss  0.882476, Average Loss  0.869548, Time  0.364153
2021-09-10 13:14:14.489150 : Epoch 10, Batch   2529, Loss  0.848640, Average Loss  0.869449, Time  0.357501
2021-09-10 13:14:16.288848 : Epoch 10, Batch   2530, Loss  0.867689, Average Loss  0.869428, Time  0.372462
2021-09-10 13:14:18.163988 : Epoch 10, Batch   2531, Loss  0.863086, Average Loss  0.869293, Time  0.450322
2021-09-10 13:14:19.936781 : Epoch 10, Batch   2532, Loss  0.864500, Average Loss  0.869248, Time  0.366050
2021-09-10 13:14:21.726397 : Epoch 10, Batch   2533, Loss  0.868474, Average Loss  0.869188, Time  0.358876
2021-09-10 13:14:23.518776 : Epoch 10, Batch   2534, Loss  0.870584, Average Loss  0.869248, Time  0.379873
2021-09-10 13:14:25.451777 : Epoch 10, Batch   2535, Loss  0.878716, Average Loss  0.869311, Time  0.466345
2021-09-10 13:14:27.269957 : Epoch 10, Batch   2536, Loss  0.866274, Average Loss  0.869191, Time  0.407379
2021-09-10 13:14:29.044111 : Epoch 10, Batch   2537, Loss  0.877551, Average Loss  0.869349, Time  0.356743
2021-09-10 13:14:30.824404 : Epoch 10, Batch   2538, Loss  0.888066, Average Loss  0.869475, Time  0.365602
2021-09-10 13:14:32.679819 : Epoch 10, Batch   2539, Loss  0.858658, Average Loss  0.869512, Time  0.453135
2021-09-10 13:14:34.565839 : Epoch 10, Batch   2540, Loss  0.875468, Average Loss  0.869471, Time  0.458356
2021-09-10 13:14:36.354775 : Epoch 10, Batch   2541, Loss  0.895864, Average Loss  0.869586, Time  0.373978
2021-09-10 13:14:38.136107 : Epoch 10, Batch   2542, Loss  0.884557, Average Loss  0.869615, Time  0.370309
2021-09-10 13:14:39.953111 : Epoch 10, Batch   2543, Loss  0.888864, Average Loss  0.869748, Time  0.392513
2021-09-10 13:14:41.806986 : Epoch 10, Batch   2544, Loss  0.863118, Average Loss  0.869650, Time  0.457738
2021-09-10 13:14:43.603776 : Epoch 10, Batch   2545, Loss  0.870974, Average Loss  0.869572, Time  0.361277
2021-09-10 13:14:45.394015 : Epoch 10, Batch   2546, Loss  0.879673, Average Loss  0.869600, Time  0.357560
2021-09-10 13:14:47.208761 : Epoch 10, Batch   2547, Loss  0.895150, Average Loss  0.869719, Time  0.391149
2021-09-10 13:14:49.076232 : Epoch 10, Batch   2548, Loss  0.863110, Average Loss  0.869715, Time  0.452147
2021-09-10 13:14:50.847778 : Epoch 10, Batch   2549, Loss  0.869101, Average Loss  0.869569, Time  0.359950
2021-09-10 13:14:52.619225 : Epoch 10, Batch   2550, Loss  0.869221, Average Loss  0.869416, Time  0.359921
2021-09-10 13:14:54.422770 : Epoch 10, Batch   2551, Loss  0.882257, Average Loss  0.869507, Time  0.391293
2021-09-10 13:14:56.275110 : Epoch 10, Batch   2552, Loss  0.882558, Average Loss  0.869550, Time  0.455597
2021-09-10 13:14:58.055241 : Epoch 10, Batch   2553, Loss  0.851341, Average Loss  0.869364, Time  0.364925
2021-09-10 13:14:59.826102 : Epoch 10, Batch   2554, Loss  0.854298, Average Loss  0.869246, Time  0.357145
2021-09-10 13:15:01.626838 : Epoch 10, Batch   2555, Loss  0.885221, Average Loss  0.869413, Time  0.384981
2021-09-10 13:15:03.508968 : Epoch 10, Batch   2556, Loss  0.845477, Average Loss  0.869383, Time  0.464945
2021-09-10 13:15:05.291955 : Epoch 10, Batch   2557, Loss  0.841660, Average Loss  0.869104, Time  0.359080
2021-09-10 13:15:07.055874 : Epoch 10, Batch   2558, Loss  0.846741, Average Loss  0.868985, Time  0.366131
2021-09-10 13:15:08.832827 : Epoch 10, Batch   2559, Loss  0.848606, Average Loss  0.868976, Time  0.374803
2021-09-10 13:15:10.689108 : Epoch 10, Batch   2560, Loss  0.882142, Average Loss  0.869005, Time  0.460427
2021-09-10 13:15:12.442205 : Epoch 10, Batch   2561, Loss  0.857340, Average Loss  0.868964, Time  0.357738
2021-09-10 13:15:14.200100 : Epoch 10, Batch   2562, Loss  0.891618, Average Loss  0.869087, Time  0.355655
2021-09-10 13:15:16.012252 : Epoch 10, Batch   2563, Loss  0.877504, Average Loss  0.869343, Time  0.395491
2021-09-10 13:15:17.884817 : Epoch 10, Batch   2564, Loss  0.868451, Average Loss  0.869341, Time  0.453160
2021-09-10 13:15:19.651218 : Epoch 10, Batch   2565, Loss  0.875324, Average Loss  0.869469, Time  0.350320
2021-09-10 13:15:21.416805 : Epoch 10, Batch   2566, Loss  0.865214, Average Loss  0.869482, Time  0.357828
2021-09-10 13:15:23.188775 : Epoch 10, Batch   2567, Loss  0.849934, Average Loss  0.869240, Time  0.379225
2021-09-10 13:15:25.063276 : Epoch 10, Batch   2568, Loss  0.889492, Average Loss  0.869304, Time  0.459833
2021-09-10 13:15:26.852781 : Epoch 10, Batch   2569, Loss  0.878393, Average Loss  0.869353, Time  0.366374
2021-09-10 13:15:28.644874 : Epoch 10, Batch   2570, Loss  0.870419, Average Loss  0.869381, Time  0.368498
2021-09-10 13:15:30.424613 : Epoch 10, Batch   2571, Loss  0.872154, Average Loss  0.869382, Time  0.376139
2021-09-10 13:15:32.302844 : Epoch 10, Batch   2572, Loss  0.861587, Average Loss  0.869483, Time  0.452617
2021-09-10 13:15:34.089115 : Epoch 10, Batch   2573, Loss  0.862166, Average Loss  0.869541, Time  0.360973
2021-09-10 13:15:35.865850 : Epoch 10, Batch   2574, Loss  0.876513, Average Loss  0.869688, Time  0.356464
2021-09-10 13:15:37.660970 : Epoch 10, Batch   2575, Loss  0.912079, Average Loss  0.869723, Time  0.383746
2021-09-10 13:15:39.530762 : Epoch 10, Batch   2576, Loss  0.891263, Average Loss  0.869689, Time  0.451134
2021-09-10 13:15:41.292257 : Epoch 10, Batch   2577, Loss  0.860617, Average Loss  0.869760, Time  0.355177
2021-09-10 13:15:43.061771 : Epoch 10, Batch   2578, Loss  0.870047, Average Loss  0.869820, Time  0.365640
2021-09-10 13:15:44.876922 : Epoch 10, Batch   2579, Loss  0.884774, Average Loss  0.869765, Time  0.381535
2021-09-10 13:15:46.769222 : Epoch 10, Batch   2580, Loss  0.863904, Average Loss  0.869816, Time  0.452064
2021-09-10 13:15:48.542105 : Epoch 10, Batch   2581, Loss  0.866770, Average Loss  0.869741, Time  0.354554
2021-09-10 13:15:50.301771 : Epoch 10, Batch   2582, Loss  0.884522, Average Loss  0.869809, Time  0.363569
2021-09-10 13:15:52.093781 : Epoch 10, Batch   2583, Loss  0.883926, Average Loss  0.869711, Time  0.390622
2021-09-10 13:15:53.962431 : Epoch 10, Batch   2584, Loss  0.888409, Average Loss  0.869783, Time  0.458760
2021-09-10 13:15:55.734224 : Epoch 10, Batch   2585, Loss  0.856854, Average Loss  0.869687, Time  0.357621
2021-09-10 13:15:57.495314 : Epoch 10, Batch   2586, Loss  0.865740, Average Loss  0.869762, Time  0.356429
2021-09-10 13:15:59.331233 : Epoch 10, Batch   2587, Loss  0.820308, Average Loss  0.869517, Time  0.402148
2021-09-10 13:16:01.207904 : Epoch 10, Batch   2588, Loss  0.880681, Average Loss  0.869525, Time  0.451873
2021-09-10 13:16:02.990236 : Epoch 10, Batch   2589, Loss  0.879511, Average Loss  0.869585, Time  0.356027
2021-09-10 13:16:04.755888 : Epoch 10, Batch   2590, Loss  0.854724, Average Loss  0.869479, Time  0.361350
2021-09-10 13:16:06.560761 : Epoch 10, Batch   2591, Loss  0.860940, Average Loss  0.869472, Time  0.391240
2021-09-10 13:16:08.438102 : Epoch 10, Batch   2592, Loss  0.878729, Average Loss  0.869669, Time  0.475712
2021-09-10 13:16:10.216400 : Epoch 10, Batch   2593, Loss  0.857627, Average Loss  0.869718, Time  0.353143
2021-09-10 13:16:12.005381 : Epoch 10, Batch   2594, Loss  0.838234, Average Loss  0.869478, Time  0.362860
2021-09-10 13:16:13.791778 : Epoch 10, Batch   2595, Loss  0.843620, Average Loss  0.869373, Time  0.369152
2021-09-10 13:16:15.649104 : Epoch 10, Batch   2596, Loss  0.881050, Average Loss  0.869270, Time  0.456687
2021-09-10 13:16:17.417779 : Epoch 10, Batch   2597, Loss  0.856602, Average Loss  0.869162, Time  0.356556
2021-09-10 13:16:19.190243 : Epoch 10, Batch   2598, Loss  0.888924, Average Loss  0.869378, Time  0.355622
2021-09-10 13:16:20.989230 : Epoch 10, Batch   2599, Loss  0.880610, Average Loss  0.869170, Time  0.396688
2021-09-10 13:16:22.837255 : Epoch 10, Batch   2600, Loss  0.885283, Average Loss  0.869425, Time  0.449808
2021-09-10 13:16:30.083048 : Epoch 10, Batch   2601, Loss  0.839601, Average Loss  0.869058, Time  0.368285
2021-09-10 13:21:21.209722 : CheckPoint: Validation Loss  0.00059107, Best Loss  0.00056427
2021-09-10 13:21:23.052779 : Epoch 10, Batch   2602, Loss  0.841885, Average Loss  0.868836, Time  0.415519
2021-09-10 13:21:24.908562 : Epoch 10, Batch   2603, Loss  0.864275, Average Loss  0.868751, Time  0.458383
2021-09-10 13:21:26.655092 : Epoch 10, Batch   2604, Loss  0.856597, Average Loss  0.868671, Time  0.356695
2021-09-10 13:21:28.430843 : Epoch 10, Batch   2605, Loss  0.884665, Average Loss  0.868681, Time  0.356390
2021-09-10 13:21:30.248857 : Epoch 10, Batch   2606, Loss  0.874229, Average Loss  0.868751, Time  0.399964
2021-09-10 13:21:32.127774 : Epoch 10, Batch   2607, Loss  0.884949, Average Loss  0.868804, Time  0.463859
2021-09-10 13:21:33.883223 : Epoch 10, Batch   2608, Loss  0.856066, Average Loss  0.868700, Time  0.360412
2021-09-10 13:21:35.635772 : Epoch 10, Batch   2609, Loss  0.841682, Average Loss  0.868448, Time  0.362933
2021-09-10 13:21:37.445095 : Epoch 10, Batch   2610, Loss  0.858212, Average Loss  0.868348, Time  0.400353
2021-09-10 13:21:39.305237 : Epoch 10, Batch   2611, Loss  0.865470, Average Loss  0.868325, Time  0.451863
2021-09-10 13:21:41.083034 : Epoch 10, Batch   2612, Loss  0.864365, Average Loss  0.868323, Time  0.358188
2021-09-10 13:21:42.859229 : Epoch 10, Batch   2613, Loss  0.856712, Average Loss  0.868453, Time  0.361406
2021-09-10 13:21:44.676095 : Epoch 10, Batch   2614, Loss  0.843153, Average Loss  0.868323, Time  0.397819
2021-09-10 13:21:46.607239 : Epoch 10, Batch   2615, Loss  0.872625, Average Loss  0.868275, Time  0.467396
2021-09-10 13:21:48.403918 : Epoch 10, Batch   2616, Loss  0.837170, Average Loss  0.868079, Time  0.375810
2021-09-10 13:21:50.211764 : Epoch 10, Batch   2617, Loss  0.866597, Average Loss  0.868059, Time  0.373545
2021-09-10 13:21:52.002900 : Epoch 10, Batch   2618, Loss  0.882569, Average Loss  0.868122, Time  0.364253
2021-09-10 13:21:53.855105 : Epoch 10, Batch   2619, Loss  0.846663, Average Loss  0.867957, Time  0.459618
2021-09-10 13:21:55.734806 : Epoch 10, Batch   2620, Loss  0.855140, Average Loss  0.867843, Time  0.454041
2021-09-10 13:21:57.552108 : Epoch 10, Batch   2621, Loss  0.899598, Average Loss  0.868098, Time  0.365982
2021-09-10 13:21:59.340232 : Epoch 10, Batch   2622, Loss  0.899756, Average Loss  0.868111, Time  0.361054
2021-09-10 13:22:01.139806 : Epoch 10, Batch   2623, Loss  0.886314, Average Loss  0.868181, Time  0.392953
2021-09-10 13:22:02.996844 : Epoch 10, Batch   2624, Loss  0.861981, Average Loss  0.868235, Time  0.455780
2021-09-10 13:22:04.741109 : Epoch 10, Batch   2625, Loss  0.890666, Average Loss  0.868450, Time  0.357443
2021-09-10 13:22:06.516917 : Epoch 10, Batch   2626, Loss  0.874087, Average Loss  0.868418, Time  0.363866
2021-09-10 13:22:08.331232 : Epoch 10, Batch   2627, Loss  0.857962, Average Loss  0.868444, Time  0.408292
2021-09-10 13:22:10.231885 : Epoch 10, Batch   2628, Loss  0.866230, Average Loss  0.868599, Time  0.463490
2021-09-10 13:22:11.995901 : Epoch 10, Batch   2629, Loss  0.883273, Average Loss  0.868764, Time  0.359011
2021-09-10 13:22:13.801742 : Epoch 10, Batch   2630, Loss  0.871262, Average Loss  0.868820, Time  0.359615
2021-09-10 13:22:15.574359 : Epoch 10, Batch   2631, Loss  0.875952, Average Loss  0.869013, Time  0.372692
2021-09-10 13:22:17.451119 : Epoch 10, Batch   2632, Loss  0.903188, Average Loss  0.869180, Time  0.452478
2021-09-10 13:22:19.198100 : Epoch 10, Batch   2633, Loss  0.873669, Average Loss  0.869154, Time  0.357177
2021-09-10 13:22:20.991685 : Epoch 10, Batch   2634, Loss  0.873392, Average Loss  0.869170, Time  0.358589
2021-09-10 13:22:22.850101 : Epoch 10, Batch   2635, Loss  0.859667, Average Loss  0.869172, Time  0.389861
2021-09-10 13:22:24.726860 : Epoch 10, Batch   2636, Loss  0.875717, Average Loss  0.869159, Time  0.457516
2021-09-10 13:22:26.485839 : Epoch 10, Batch   2637, Loss  0.883764, Average Loss  0.869370, Time  0.353732
2021-09-10 13:22:28.235972 : Epoch 10, Batch   2638, Loss  0.851025, Average Loss  0.869364, Time  0.356638
2021-09-10 13:22:30.020769 : Epoch 10, Batch   2639, Loss  0.876881, Average Loss  0.869267, Time  0.369910
2021-09-10 13:22:31.907820 : Epoch 10, Batch   2640, Loss  0.849338, Average Loss  0.869106, Time  0.460704
2021-09-10 13:22:33.753134 : Epoch 10, Batch   2641, Loss  0.877978, Average Loss  0.869179, Time  0.418607
2021-09-10 13:22:35.540093 : Epoch 10, Batch   2642, Loss  0.857751, Average Loss  0.869136, Time  0.357405
2021-09-10 13:22:37.328778 : Epoch 10, Batch   2643, Loss  0.885389, Average Loss  0.869109, Time  0.356460
2021-09-10 13:22:39.191985 : Epoch 10, Batch   2644, Loss  0.842310, Average Loss  0.869027, Time  0.448624
2021-09-10 13:22:41.058102 : Epoch 10, Batch   2645, Loss  0.879371, Average Loss  0.869025, Time  0.459069
2021-09-10 13:22:42.836102 : Epoch 10, Batch   2646, Loss  0.893297, Average Loss  0.869013, Time  0.360297
2021-09-10 13:22:44.604108 : Epoch 10, Batch   2647, Loss  0.890928, Average Loss  0.869153, Time  0.355885
2021-09-10 13:22:46.444243 : Epoch 10, Batch   2648, Loss  0.850021, Average Loss  0.869094, Time  0.384227
2021-09-10 13:22:48.306947 : Epoch 10, Batch   2649, Loss  0.880227, Average Loss  0.869206, Time  0.452817
2021-09-10 13:22:50.084810 : Epoch 10, Batch   2650, Loss  0.851475, Average Loss  0.869197, Time  0.357039
2021-09-10 13:22:51.840274 : Epoch 10, Batch   2651, Loss  0.846685, Average Loss  0.869159, Time  0.361951
2021-09-10 13:22:53.630184 : Epoch 10, Batch   2652, Loss  0.869961, Average Loss  0.869062, Time  0.397936
2021-09-10 13:22:55.515961 : Epoch 10, Batch   2653, Loss  0.848066, Average Loss  0.869076, Time  0.466367
2021-09-10 13:22:57.299247 : Epoch 10, Batch   2654, Loss  0.852842, Average Loss  0.869142, Time  0.356603
2021-09-10 13:22:59.081106 : Epoch 10, Batch   2655, Loss  0.830365, Average Loss  0.869185, Time  0.364158
2021-09-10 13:23:00.869218 : Epoch 10, Batch   2656, Loss  0.835878, Average Loss  0.869056, Time  0.393760
2021-09-10 13:23:02.730940 : Epoch 10, Batch   2657, Loss  0.874602, Average Loss  0.869096, Time  0.461811
2021-09-10 13:23:04.491098 : Epoch 10, Batch   2658, Loss  0.871656, Average Loss  0.869152, Time  0.372154
2021-09-10 13:23:06.266240 : Epoch 10, Batch   2659, Loss  0.889744, Average Loss  0.869262, Time  0.362312
2021-09-10 13:23:08.087775 : Epoch 10, Batch   2660, Loss  0.877876, Average Loss  0.869227, Time  0.390431
2021-09-10 13:23:09.969961 : Epoch 10, Batch   2661, Loss  0.877255, Average Loss  0.869310, Time  0.467190
2021-09-10 13:23:11.730930 : Epoch 10, Batch   2662, Loss  0.892021, Average Loss  0.869403, Time  0.355817
2021-09-10 13:23:13.505802 : Epoch 10, Batch   2663, Loss  0.884152, Average Loss  0.869434, Time  0.360381
2021-09-10 13:23:15.308836 : Epoch 10, Batch   2664, Loss  0.895877, Average Loss  0.869436, Time  0.383380
2021-09-10 13:23:17.214792 : Epoch 10, Batch   2665, Loss  0.883637, Average Loss  0.869682, Time  0.468946
2021-09-10 13:23:19.107789 : Epoch 10, Batch   2666, Loss  0.861389, Average Loss  0.869576, Time  0.437853
2021-09-10 13:23:20.924100 : Epoch 10, Batch   2667, Loss  0.873209, Average Loss  0.869692, Time  0.373872
2021-09-10 13:23:22.705764 : Epoch 10, Batch   2668, Loss  0.874075, Average Loss  0.869771, Time  0.364225
2021-09-10 13:23:24.593097 : Epoch 10, Batch   2669, Loss  0.863424, Average Loss  0.869676, Time  0.426235
2021-09-10 13:23:26.499777 : Epoch 10, Batch   2670, Loss  0.876805, Average Loss  0.869610, Time  0.467572
2021-09-10 13:23:28.302785 : Epoch 10, Batch   2671, Loss  0.863757, Average Loss  0.869670, Time  0.388562
2021-09-10 13:23:30.066917 : Epoch 10, Batch   2672, Loss  0.851062, Average Loss  0.869563, Time  0.366891
2021-09-10 13:23:31.852232 : Epoch 10, Batch   2673, Loss  0.869992, Average Loss  0.869613, Time  0.360853
2021-09-10 13:23:33.732929 : Epoch 10, Batch   2674, Loss  0.839860, Average Loss  0.869504, Time  0.454639
2021-09-10 13:23:35.595790 : Epoch 10, Batch   2675, Loss  0.874911, Average Loss  0.869638, Time  0.444691
2021-09-10 13:23:37.380773 : Epoch 10, Batch   2676, Loss  0.866578, Average Loss  0.869810, Time  0.369817
2021-09-10 13:23:39.137108 : Epoch 10, Batch   2677, Loss  0.868567, Average Loss  0.869794, Time  0.356609
2021-09-10 13:23:40.959428 : Epoch 10, Batch   2678, Loss  0.858476, Average Loss  0.869768, Time  0.416894
2021-09-10 13:23:42.837924 : Epoch 10, Batch   2679, Loss  0.887414, Average Loss  0.869837, Time  0.463216
2021-09-10 13:23:44.615795 : Epoch 10, Batch   2680, Loss  0.851926, Average Loss  0.869627, Time  0.363235
2021-09-10 13:23:46.374821 : Epoch 10, Batch   2681, Loss  0.864315, Average Loss  0.869639, Time  0.362645
2021-09-10 13:23:48.168120 : Epoch 10, Batch   2682, Loss  0.876593, Average Loss  0.869661, Time  0.387723
2021-09-10 13:23:50.012815 : Epoch 10, Batch   2683, Loss  0.843089, Average Loss  0.869485, Time  0.450265
2021-09-10 13:23:51.810767 : Epoch 10, Batch   2684, Loss  0.858281, Average Loss  0.869531, Time  0.367565
2021-09-10 13:23:53.570293 : Epoch 10, Batch   2685, Loss  0.888133, Average Loss  0.869560, Time  0.359282
2021-09-10 13:23:55.383841 : Epoch 10, Batch   2686, Loss  0.891706, Average Loss  0.869622, Time  0.384697
2021-09-10 13:23:57.273035 : Epoch 10, Batch   2687, Loss  0.863929, Average Loss  0.869517, Time  0.455227
2021-09-10 13:23:59.069789 : Epoch 10, Batch   2688, Loss  0.864794, Average Loss  0.869516, Time  0.350269
2021-09-10 13:24:00.855239 : Epoch 10, Batch   2689, Loss  0.876915, Average Loss  0.869660, Time  0.358657
2021-09-10 13:24:02.659130 : Epoch 10, Batch   2690, Loss  0.880840, Average Loss  0.869607, Time  0.362133
2021-09-10 13:24:04.560787 : Epoch 10, Batch   2691, Loss  0.839047, Average Loss  0.869455, Time  0.452645
2021-09-10 13:24:06.443789 : Epoch 10, Batch   2692, Loss  0.868406, Average Loss  0.869374, Time  0.417309
2021-09-10 13:24:08.273995 : Epoch 10, Batch   2693, Loss  0.874189, Average Loss  0.869445, Time  0.362230
2021-09-10 13:24:10.068071 : Epoch 10, Batch   2694, Loss  0.861124, Average Loss  0.869581, Time  0.354960
2021-09-10 13:24:11.943064 : Epoch 10, Batch   2695, Loss  0.879104, Average Loss  0.869635, Time  0.429814
2021-09-10 13:24:13.836087 : Epoch 10, Batch   2696, Loss  0.856337, Average Loss  0.869430, Time  0.450783
2021-09-10 13:24:15.620952 : Epoch 10, Batch   2697, Loss  0.894482, Average Loss  0.869819, Time  0.334929
2021-09-10 13:24:17.420831 : Epoch 10, Batch   2698, Loss  0.864147, Average Loss  0.869821, Time  0.355319
2021-09-10 13:24:19.212929 : Epoch 10, Batch   2699, Loss  0.841566, Average Loss  0.869753, Time  0.355692
2021-09-10 13:24:21.096160 : Epoch 10, Batch   2700, Loss  0.869575, Average Loss  0.869839, Time  0.452209
2021-09-10 13:24:22.949763 : Epoch 10, Batch   2701, Loss  0.866450, Average Loss  0.869866, Time  0.411897
2021-09-10 13:29:14.249560 : CheckPoint: Validation Loss  0.00060950, Best Loss  0.00056427
2021-09-10 13:29:16.030766 : Epoch 10, Batch   2702, Loss  0.860047, Average Loss  0.869783, Time  0.356909
2021-09-10 13:29:17.879765 : Epoch 10, Batch   2703, Loss  0.845941, Average Loss  0.869644, Time  0.406600
2021-09-10 13:29:19.770760 : Epoch 10, Batch   2704, Loss  0.861606, Average Loss  0.869519, Time  0.454354
2021-09-10 13:29:21.527085 : Epoch 10, Batch   2705, Loss  0.867084, Average Loss  0.869506, Time  0.355426
2021-09-10 13:29:23.290788 : Epoch 10, Batch   2706, Loss  0.841616, Average Loss  0.869285, Time  0.359418
2021-09-10 13:29:25.100177 : Epoch 10, Batch   2707, Loss  0.912059, Average Loss  0.869445, Time  0.402138
2021-09-10 13:29:26.940104 : Epoch 10, Batch   2708, Loss  0.843156, Average Loss  0.869165, Time  0.450339
2021-09-10 13:29:28.704082 : Epoch 10, Batch   2709, Loss  0.869948, Average Loss  0.869028, Time  0.356179
2021-09-10 13:29:30.474189 : Epoch 10, Batch   2710, Loss  0.900228, Average Loss  0.869288, Time  0.360168
2021-09-10 13:29:32.296100 : Epoch 10, Batch   2711, Loss  0.891483, Average Loss  0.869337, Time  0.411031
2021-09-10 13:29:34.201912 : Epoch 10, Batch   2712, Loss  0.885943, Average Loss  0.869343, Time  0.468214
2021-09-10 13:29:35.956842 : Epoch 10, Batch   2713, Loss  0.868788, Average Loss  0.869214, Time  0.336172
2021-09-10 13:29:37.731934 : Epoch 10, Batch   2714, Loss  0.914181, Average Loss  0.869441, Time  0.357971
2021-09-10 13:29:39.513429 : Epoch 10, Batch   2715, Loss  0.866917, Average Loss  0.869309, Time  0.365579
2021-09-10 13:29:41.384794 : Epoch 10, Batch   2716, Loss  0.879740, Average Loss  0.869416, Time  0.468101
2021-09-10 13:29:43.153131 : Epoch 10, Batch   2717, Loss  0.900896, Average Loss  0.869543, Time  0.364370
2021-09-10 13:29:44.901096 : Epoch 10, Batch   2718, Loss  0.857333, Average Loss  0.869512, Time  0.357966
2021-09-10 13:29:46.725132 : Epoch 10, Batch   2719, Loss  0.867384, Average Loss  0.869477, Time  0.398757
2021-09-10 13:29:48.590744 : Epoch 10, Batch   2720, Loss  0.864421, Average Loss  0.869407, Time  0.453404
2021-09-10 13:29:50.351419 : Epoch 10, Batch   2721, Loss  0.900618, Average Loss  0.869559, Time  0.363884
2021-09-10 13:29:52.252300 : Epoch 10, Batch   2722, Loss  0.861178, Average Loss  0.869650, Time  0.360838
2021-09-10 13:29:54.029163 : Epoch 10, Batch   2723, Loss  0.876425, Average Loss  0.869512, Time  0.360619
2021-09-10 13:29:55.890920 : Epoch 10, Batch   2724, Loss  0.860151, Average Loss  0.869374, Time  0.430694
2021-09-10 13:29:57.672101 : Epoch 10, Batch   2725, Loss  0.847190, Average Loss  0.869439, Time  0.365470
2021-09-10 13:29:59.457148 : Epoch 10, Batch   2726, Loss  0.881819, Average Loss  0.869428, Time  0.361796
2021-09-10 13:30:01.279168 : Epoch 10, Batch   2727, Loss  0.876716, Average Loss  0.869475, Time  0.403673
2021-09-10 13:30:03.173934 : Epoch 10, Batch   2728, Loss  0.892556, Average Loss  0.869526, Time  0.451771
2021-09-10 13:30:04.971180 : Epoch 10, Batch   2729, Loss  0.872916, Average Loss  0.869647, Time  0.355708
2021-09-10 13:30:06.771759 : Epoch 10, Batch   2730, Loss  0.881853, Average Loss  0.869718, Time  0.357787
2021-09-10 13:30:08.578921 : Epoch 10, Batch   2731, Loss  0.860520, Average Loss  0.869705, Time  0.368278
2021-09-10 13:30:10.453097 : Epoch 10, Batch   2732, Loss  0.845065, Average Loss  0.869608, Time  0.461421
2021-09-10 13:30:12.250249 : Epoch 10, Batch   2733, Loss  0.865391, Average Loss  0.869592, Time  0.360871
2021-09-10 13:30:14.046775 : Epoch 10, Batch   2734, Loss  0.857167, Average Loss  0.869525, Time  0.363596
2021-09-10 13:30:15.875100 : Epoch 10, Batch   2735, Loss  0.875830, Average Loss  0.869511, Time  0.393938
2021-09-10 13:30:17.780099 : Epoch 10, Batch   2736, Loss  0.853536, Average Loss  0.869447, Time  0.457684
2021-09-10 13:30:19.581095 : Epoch 10, Batch   2737, Loss  0.875584, Average Loss  0.869437, Time  0.373355
2021-09-10 13:30:21.382866 : Epoch 10, Batch   2738, Loss  0.850096, Average Loss  0.869247, Time  0.369601
2021-09-10 13:30:23.160760 : Epoch 10, Batch   2739, Loss  0.885701, Average Loss  0.869383, Time  0.356603
2021-09-10 13:30:25.050060 : Epoch 10, Batch   2740, Loss  0.890574, Average Loss  0.869458, Time  0.461544
2021-09-10 13:30:26.923811 : Epoch 10, Batch   2741, Loss  0.869569, Average Loss  0.869327, Time  0.453193
2021-09-10 13:30:28.731823 : Epoch 10, Batch   2742, Loss  0.872685, Average Loss  0.869267, Time  0.361769
2021-09-10 13:30:30.559784 : Epoch 10, Batch   2743, Loss  0.898252, Average Loss  0.869314, Time  0.367074
2021-09-10 13:30:32.382937 : Epoch 10, Batch   2744, Loss  0.877283, Average Loss  0.869385, Time  0.403428
2021-09-10 13:30:34.289845 : Epoch 10, Batch   2745, Loss  0.882788, Average Loss  0.869444, Time  0.472041
2021-09-10 13:30:36.056938 : Epoch 10, Batch   2746, Loss  0.872273, Average Loss  0.869407, Time  0.351566
2021-09-10 13:30:37.841058 : Epoch 10, Batch   2747, Loss  0.866631, Average Loss  0.869265, Time  0.355518
2021-09-10 13:30:39.698077 : Epoch 10, Batch   2748, Loss  0.875828, Average Loss  0.869328, Time  0.405837
2021-09-10 13:30:41.499062 : Epoch 10, Batch   2749, Loss  0.886622, Average Loss  0.869416, Time  0.354649
2021-09-10 13:30:43.342106 : Epoch 10, Batch   2750, Loss  0.853890, Average Loss  0.869339, Time  0.414775
2021-09-10 13:30:45.145104 : Epoch 10, Batch   2751, Loss  0.864501, Average Loss  0.869250, Time  0.366072
2021-09-10 13:30:46.982793 : Epoch 10, Batch   2752, Loss  0.861264, Average Loss  0.869144, Time  0.420486
2021-09-10 13:30:48.773770 : Epoch 10, Batch   2753, Loss  0.834290, Average Loss  0.869059, Time  0.362015
2021-09-10 13:30:50.591339 : Epoch 10, Batch   2754, Loss  0.862475, Average Loss  0.869099, Time  0.413264
2021-09-10 13:30:52.375766 : Epoch 10, Batch   2755, Loss  0.852934, Average Loss  0.868938, Time  0.361300
2021-09-10 13:30:54.222812 : Epoch 10, Batch   2756, Loss  0.864965, Average Loss  0.869035, Time  0.407164
2021-09-10 13:30:56.000981 : Epoch 10, Batch   2757, Loss  0.872146, Average Loss  0.869188, Time  0.355446
2021-09-10 13:30:57.818773 : Epoch 10, Batch   2758, Loss  0.882631, Average Loss  0.869367, Time  0.382252
2021-09-10 13:30:59.613907 : Epoch 10, Batch   2759, Loss  0.873630, Average Loss  0.869492, Time  0.357278
2021-09-10 13:31:01.445839 : Epoch 10, Batch   2760, Loss  0.892831, Average Loss  0.869546, Time  0.365116
2021-09-10 13:31:03.250084 : Epoch 10, Batch   2761, Loss  0.888899, Average Loss  0.869704, Time  0.356834
2021-09-10 13:31:05.037905 : Epoch 10, Batch   2762, Loss  0.855864, Average Loss  0.869525, Time  0.366479
2021-09-10 13:31:06.819094 : Epoch 10, Batch   2763, Loss  0.848877, Average Loss  0.869382, Time  0.358143
2021-09-10 13:31:08.621763 : Epoch 10, Batch   2764, Loss  0.893009, Average Loss  0.869505, Time  0.372532
2021-09-10 13:31:10.395104 : Epoch 10, Batch   2765, Loss  0.915429, Average Loss  0.869705, Time  0.364618
2021-09-10 13:31:12.213102 : Epoch 10, Batch   2766, Loss  0.878647, Average Loss  0.869772, Time  0.393534
2021-09-10 13:31:14.010099 : Epoch 10, Batch   2767, Loss  0.842325, Average Loss  0.869734, Time  0.362374
2021-09-10 13:31:15.822102 : Epoch 10, Batch   2768, Loss  0.878229, Average Loss  0.869678, Time  0.370796
2021-09-10 13:31:17.663099 : Epoch 10, Batch   2769, Loss  0.865124, Average Loss  0.869612, Time  0.360756
2021-09-10 13:31:19.433104 : Epoch 10, Batch   2770, Loss  0.873800, Average Loss  0.869628, Time  0.357178
2021-09-10 13:31:21.315773 : Epoch 10, Batch   2771, Loss  0.863154, Average Loss  0.869583, Time  0.455832
2021-09-10 13:31:23.152561 : Epoch 10, Batch   2772, Loss  0.883745, Average Loss  0.869694, Time  0.417205
2021-09-10 13:31:24.931817 : Epoch 10, Batch   2773, Loss  0.800762, Average Loss  0.869387, Time  0.363199
2021-09-10 13:31:26.707102 : Epoch 10, Batch   2774, Loss  0.892434, Average Loss  0.869467, Time  0.362783
2021-09-10 13:31:28.565093 : Epoch 10, Batch   2775, Loss  0.915971, Average Loss  0.869486, Time  0.446140
2021-09-10 13:31:30.445225 : Epoch 10, Batch   2776, Loss  0.868297, Average Loss  0.869371, Time  0.457219
2021-09-10 13:31:32.230947 : Epoch 10, Batch   2777, Loss  0.862985, Average Loss  0.869383, Time  0.354516
2021-09-10 13:31:34.006516 : Epoch 10, Batch   2778, Loss  0.876864, Average Loss  0.869417, Time  0.354467
2021-09-10 13:31:35.823770 : Epoch 10, Batch   2779, Loss  0.882449, Average Loss  0.869406, Time  0.396881
2021-09-10 13:31:37.723227 : Epoch 10, Batch   2780, Loss  0.853714, Average Loss  0.869355, Time  0.454364
2021-09-10 13:31:39.497860 : Epoch 10, Batch   2781, Loss  0.893295, Average Loss  0.869487, Time  0.336500
2021-09-10 13:31:41.279938 : Epoch 10, Batch   2782, Loss  0.873375, Average Loss  0.869432, Time  0.356377
2021-09-10 13:31:43.123760 : Epoch 10, Batch   2783, Loss  0.863343, Average Loss  0.869329, Time  0.369926
2021-09-10 13:31:45.021086 : Epoch 10, Batch   2784, Loss  0.879852, Average Loss  0.869286, Time  0.464983
2021-09-10 13:31:46.872830 : Epoch 10, Batch   2785, Loss  0.825479, Average Loss  0.869129, Time  0.425730
2021-09-10 13:31:48.656187 : Epoch 10, Batch   2786, Loss  0.861172, Average Loss  0.869106, Time  0.361281
2021-09-10 13:31:50.445186 : Epoch 10, Batch   2787, Loss  0.891291, Average Loss  0.869461, Time  0.363298
2021-09-10 13:31:52.301217 : Epoch 10, Batch   2788, Loss  0.834356, Average Loss  0.869230, Time  0.431774
2021-09-10 13:31:54.211107 : Epoch 10, Batch   2789, Loss  0.855536, Average Loss  0.869110, Time  0.460716
2021-09-10 13:31:56.071227 : Epoch 10, Batch   2790, Loss  0.862905, Average Loss  0.869151, Time  0.403728
2021-09-10 13:31:57.856771 : Epoch 10, Batch   2791, Loss  0.869970, Average Loss  0.869196, Time  0.368654
2021-09-10 13:31:59.656240 : Epoch 10, Batch   2792, Loss  0.854555, Average Loss  0.869075, Time  0.361657
2021-09-10 13:32:01.507777 : Epoch 10, Batch   2793, Loss  0.880158, Average Loss  0.869188, Time  0.438806
2021-09-10 13:32:03.372911 : Epoch 10, Batch   2794, Loss  0.861878, Average Loss  0.869306, Time  0.445621
2021-09-10 13:32:05.159354 : Epoch 10, Batch   2795, Loss  0.902848, Average Loss  0.869602, Time  0.356310
2021-09-10 13:32:06.958249 : Epoch 10, Batch   2796, Loss  0.854650, Average Loss  0.869470, Time  0.362971
2021-09-10 13:32:08.782208 : Epoch 10, Batch   2797, Loss  0.845548, Average Loss  0.869415, Time  0.401123
2021-09-10 13:32:10.657834 : Epoch 10, Batch   2798, Loss  0.870612, Average Loss  0.869323, Time  0.450851
2021-09-10 13:32:12.477767 : Epoch 10, Batch   2799, Loss  0.882428, Average Loss  0.869332, Time  0.356495
2021-09-10 13:32:14.293160 : Epoch 10, Batch   2800, Loss  0.877202, Average Loss  0.869292, Time  0.358057
2021-09-10 13:32:16.089105 : Epoch 10, Batch   2801, Loss  0.862402, Average Loss  0.869406, Time  0.382413
2021-09-10 13:37:06.516704 : CheckPoint: Validation Loss  0.00062739, Best Loss  0.00056427
2021-09-10 13:37:08.314014 : Epoch 10, Batch   2802, Loss  0.853746, Average Loss  0.869465, Time  0.361614
2021-09-10 13:37:10.116775 : Epoch 10, Batch   2803, Loss  0.874418, Average Loss  0.869516, Time  0.356319
2021-09-10 13:37:12.047887 : Epoch 10, Batch   2804, Loss  0.892447, Average Loss  0.869695, Time  0.476335
2021-09-10 13:37:13.910638 : Epoch 10, Batch   2805, Loss  0.825815, Average Loss  0.869401, Time  0.435261
2021-09-10 13:37:15.693071 : Epoch 10, Batch   2806, Loss  0.857100, Average Loss  0.869315, Time  0.356417
2021-09-10 13:37:17.562771 : Epoch 10, Batch   2807, Loss  0.865754, Average Loss  0.869219, Time  0.365277
2021-09-10 13:37:19.428064 : Epoch 10, Batch   2808, Loss  0.851577, Average Loss  0.869197, Time  0.403939
2021-09-10 13:37:21.331780 : Epoch 10, Batch   2809, Loss  0.885188, Average Loss  0.869414, Time  0.448972
2021-09-10 13:37:23.123783 : Epoch 10, Batch   2810, Loss  0.842057, Average Loss  0.869333, Time  0.346471
2021-09-10 13:37:24.938082 : Epoch 10, Batch   2811, Loss  0.889103, Average Loss  0.869452, Time  0.356393
2021-09-10 13:37:26.744781 : Epoch 10, Batch   2812, Loss  0.867860, Average Loss  0.869469, Time  0.357546
2021-09-10 13:37:28.639060 : Epoch 10, Batch   2813, Loss  0.869447, Average Loss  0.869533, Time  0.453460
2021-09-10 13:37:30.495777 : Epoch 10, Batch   2814, Loss  0.864456, Average Loss  0.869639, Time  0.444380
2021-09-10 13:37:32.283087 : Epoch 10, Batch   2815, Loss  0.863757, Average Loss  0.869595, Time  0.364529
2021-09-10 13:37:34.061105 : Epoch 10, Batch   2816, Loss  0.875845, Average Loss  0.869788, Time  0.363693
2021-09-10 13:37:35.930092 : Epoch 10, Batch   2817, Loss  0.866561, Average Loss  0.869788, Time  0.427790
2021-09-10 13:37:37.809762 : Epoch 10, Batch   2818, Loss  0.869105, Average Loss  0.869721, Time  0.452329
2021-09-10 13:37:39.609079 : Epoch 10, Batch   2819, Loss  0.903544, Average Loss  0.870005, Time  0.357588
2021-09-10 13:37:41.388759 : Epoch 10, Batch   2820, Loss  0.891947, Average Loss  0.870189, Time  0.358807
2021-09-10 13:37:43.201866 : Epoch 10, Batch   2821, Loss  0.850240, Average Loss  0.869943, Time  0.367987
2021-09-10 13:37:45.094767 : Epoch 10, Batch   2822, Loss  0.872251, Average Loss  0.869805, Time  0.451852
2021-09-10 13:37:46.867775 : Epoch 10, Batch   2823, Loss  0.878886, Average Loss  0.869768, Time  0.347845
2021-09-10 13:37:48.654058 : Epoch 10, Batch   2824, Loss  0.861102, Average Loss  0.869763, Time  0.355734
2021-09-10 13:37:50.443774 : Epoch 10, Batch   2825, Loss  0.868306, Average Loss  0.869652, Time  0.366233
2021-09-10 13:37:52.328778 : Epoch 10, Batch   2826, Loss  0.875028, Average Loss  0.869656, Time  0.463685
2021-09-10 13:37:54.114228 : Epoch 10, Batch   2827, Loss  0.841665, Average Loss  0.869575, Time  0.363479
2021-09-10 13:37:55.880771 : Epoch 10, Batch   2828, Loss  0.852886, Average Loss  0.869508, Time  0.357266
2021-09-10 13:37:57.705789 : Epoch 10, Batch   2829, Loss  0.903877, Average Loss  0.869611, Time  0.364742
2021-09-10 13:37:59.595772 : Epoch 10, Batch   2830, Loss  0.866653, Average Loss  0.869588, Time  0.451197
2021-09-10 13:38:01.406914 : Epoch 10, Batch   2831, Loss  0.860192, Average Loss  0.869509, Time  0.372287
2021-09-10 13:38:03.189777 : Epoch 10, Batch   2832, Loss  0.866502, Average Loss  0.869326, Time  0.365125
2021-09-10 13:38:04.978153 : Epoch 10, Batch   2833, Loss  0.874464, Average Loss  0.869330, Time  0.364984
2021-09-10 13:38:06.916764 : Epoch 10, Batch   2834, Loss  0.847885, Average Loss  0.869202, Time  0.461933
2021-09-10 13:38:08.816068 : Epoch 10, Batch   2835, Loss  0.859898, Average Loss  0.869203, Time  0.451840
2021-09-10 13:38:10.606765 : Epoch 10, Batch   2836, Loss  0.816801, Average Loss  0.868909, Time  0.356003
2021-09-10 13:38:12.420862 : Epoch 10, Batch   2837, Loss  0.876144, Average Loss  0.868871, Time  0.358169
2021-09-10 13:38:14.248764 : Epoch 10, Batch   2838, Loss  0.853754, Average Loss  0.868884, Time  0.364827
2021-09-10 13:38:16.159066 : Epoch 10, Batch   2839, Loss  0.850346, Average Loss  0.868752, Time  0.453542
2021-09-10 13:38:18.021762 : Epoch 10, Batch   2840, Loss  0.896127, Average Loss  0.868986, Time  0.417140
2021-09-10 13:38:19.813095 : Epoch 10, Batch   2841, Loss  0.856208, Average Loss  0.868877, Time  0.359787
2021-09-10 13:38:21.583776 : Epoch 10, Batch   2842, Loss  0.869361, Average Loss  0.868935, Time  0.357098
2021-09-10 13:38:23.454907 : Epoch 10, Batch   2843, Loss  0.887520, Average Loss  0.868946, Time  0.441775
2021-09-10 13:38:25.385097 : Epoch 10, Batch   2844, Loss  0.879064, Average Loss  0.869129, Time  0.455604
2021-09-10 13:38:27.147773 : Epoch 10, Batch   2845, Loss  0.868944, Average Loss  0.869077, Time  0.338221
2021-09-10 13:38:28.962964 : Epoch 10, Batch   2846, Loss  0.881754, Average Loss  0.869019, Time  0.356970
2021-09-10 13:38:30.728098 : Epoch 10, Batch   2847, Loss  0.879943, Average Loss  0.868965, Time  0.355193
2021-09-10 13:38:32.636764 : Epoch 10, Batch   2848, Loss  0.886775, Average Loss  0.869148, Time  0.456185
2021-09-10 13:38:34.338761 : Epoch 10, Batch   2849, Loss  0.858275, Average Loss  0.869039, Time  0.343940
2021-09-10 13:38:36.130916 : Epoch 10, Batch   2850, Loss  0.872404, Average Loss  0.869143, Time  0.357161
2021-09-10 13:38:37.955777 : Epoch 10, Batch   2851, Loss  0.883806, Average Loss  0.869329, Time  0.392484
2021-09-10 13:38:39.860108 : Epoch 10, Batch   2852, Loss  0.859368, Average Loss  0.869276, Time  0.463767
2021-09-10 13:38:41.629876 : Epoch 10, Batch   2853, Loss  0.865443, Average Loss  0.869363, Time  0.340451
2021-09-10 13:38:43.436864 : Epoch 10, Batch   2854, Loss  0.879019, Average Loss  0.869494, Time  0.371848
2021-09-10 13:38:45.214040 : Epoch 10, Batch   2855, Loss  0.881371, Average Loss  0.869749, Time  0.354819
2021-09-10 13:38:47.110781 : Epoch 10, Batch   2856, Loss  0.836687, Average Loss  0.869753, Time  0.451318
2021-09-10 13:38:48.900758 : Epoch 10, Batch   2857, Loss  0.855174, Average Loss  0.869656, Time  0.344983
2021-09-10 13:38:50.699778 : Epoch 10, Batch   2858, Loss  0.861962, Average Loss  0.869607, Time  0.357399
2021-09-10 13:38:52.479876 : Epoch 10, Batch   2859, Loss  0.870560, Average Loss  0.869511, Time  0.355530
2021-09-10 13:38:54.369782 : Epoch 10, Batch   2860, Loss  0.854795, Average Loss  0.869396, Time  0.454122
2021-09-10 13:38:56.208871 : Epoch 10, Batch   2861, Loss  0.866659, Average Loss  0.869343, Time  0.427381
2021-09-10 13:38:58.020057 : Epoch 10, Batch   2862, Loss  0.882607, Average Loss  0.869296, Time  0.364023
2021-09-10 13:38:59.795764 : Epoch 10, Batch   2863, Loss  0.848892, Average Loss  0.869119, Time  0.357972
2021-09-10 13:39:01.643779 : Epoch 10, Batch   2864, Loss  0.898102, Average Loss  0.869131, Time  0.421345
2021-09-10 13:39:03.540779 : Epoch 10, Batch   2865, Loss  0.837309, Average Loss  0.868899, Time  0.449953
2021-09-10 13:39:05.330108 : Epoch 10, Batch   2866, Loss  0.866253, Average Loss  0.868923, Time  0.358132
2021-09-10 13:39:07.151815 : Epoch 10, Batch   2867, Loss  0.852703, Average Loss  0.868821, Time  0.372765
2021-09-10 13:39:08.952814 : Epoch 10, Batch   2868, Loss  0.880215, Average Loss  0.868851, Time  0.375203
2021-09-10 13:39:10.821176 : Epoch 10, Batch   2869, Loss  0.874649, Average Loss  0.868908, Time  0.450966
2021-09-10 13:39:12.615778 : Epoch 10, Batch   2870, Loss  0.890143, Average Loss  0.868974, Time  0.355885
2021-09-10 13:39:14.424814 : Epoch 10, Batch   2871, Loss  0.865880, Average Loss  0.868985, Time  0.359495
2021-09-10 13:39:16.218140 : Epoch 10, Batch   2872, Loss  0.882322, Average Loss  0.869141, Time  0.363052
2021-09-10 13:39:18.121991 : Epoch 10, Batch   2873, Loss  0.882856, Average Loss  0.869205, Time  0.457612
2021-09-10 13:39:19.893922 : Epoch 10, Batch   2874, Loss  0.856732, Average Loss  0.869290, Time  0.335085
2021-09-10 13:39:21.688933 : Epoch 10, Batch   2875, Loss  0.874527, Average Loss  0.869288, Time  0.355838
2021-09-10 13:39:23.486913 : Epoch 10, Batch   2876, Loss  0.886858, Average Loss  0.869389, Time  0.355865
2021-09-10 13:39:25.387784 : Epoch 10, Batch   2877, Loss  0.877078, Average Loss  0.869432, Time  0.454139
2021-09-10 13:39:27.248170 : Epoch 10, Batch   2878, Loss  0.832166, Average Loss  0.869300, Time  0.411962
2021-09-10 13:39:29.054744 : Epoch 10, Batch   2879, Loss  0.860845, Average Loss  0.869167, Time  0.356839
2021-09-10 13:39:30.870778 : Epoch 10, Batch   2880, Loss  0.889554, Average Loss  0.869356, Time  0.362071
2021-09-10 13:39:32.703778 : Epoch 10, Batch   2881, Loss  0.866877, Average Loss  0.869368, Time  0.424858
2021-09-10 13:39:34.600759 : Epoch 10, Batch   2882, Loss  0.875938, Average Loss  0.869365, Time  0.467091
2021-09-10 13:39:36.427891 : Epoch 10, Batch   2883, Loss  0.868608, Average Loss  0.869493, Time  0.368386
2021-09-10 13:39:38.193772 : Epoch 10, Batch   2884, Loss  0.860574, Average Loss  0.869504, Time  0.359259
2021-09-10 13:39:39.982790 : Epoch 10, Batch   2885, Loss  0.864066, Average Loss  0.869384, Time  0.372470
2021-09-10 13:39:41.882073 : Epoch 10, Batch   2886, Loss  0.848998, Average Loss  0.869170, Time  0.450687
2021-09-10 13:39:43.672764 : Epoch 10, Batch   2887, Loss  0.878953, Average Loss  0.869245, Time  0.353991
2021-09-10 13:39:45.474171 : Epoch 10, Batch   2888, Loss  0.888796, Average Loss  0.869365, Time  0.357859
2021-09-10 13:39:47.269083 : Epoch 10, Batch   2889, Loss  0.866093, Average Loss  0.869311, Time  0.361318
2021-09-10 13:39:49.143882 : Epoch 10, Batch   2890, Loss  0.868704, Average Loss  0.869251, Time  0.451902
2021-09-10 13:39:50.927780 : Epoch 10, Batch   2891, Loss  0.859039, Average Loss  0.869351, Time  0.348017
2021-09-10 13:39:52.707149 : Epoch 10, Batch   2892, Loss  0.872461, Average Loss  0.869371, Time  0.356195
2021-09-10 13:39:54.478839 : Epoch 10, Batch   2893, Loss  0.845561, Average Loss  0.869228, Time  0.365892
2021-09-10 13:39:56.366794 : Epoch 10, Batch   2894, Loss  0.860225, Average Loss  0.869223, Time  0.473022
2021-09-10 13:39:58.173881 : Epoch 10, Batch   2895, Loss  0.886070, Average Loss  0.869258, Time  0.364558
2021-09-10 13:39:59.966213 : Epoch 10, Batch   2896, Loss  0.874791, Average Loss  0.869350, Time  0.358397
2021-09-10 13:40:01.790097 : Epoch 10, Batch   2897, Loss  0.873260, Average Loss  0.869244, Time  0.380426
2021-09-10 13:40:03.652391 : Epoch 10, Batch   2898, Loss  0.852233, Average Loss  0.869185, Time  0.454673
2021-09-10 13:40:05.414772 : Epoch 10, Batch   2899, Loss  0.855938, Average Loss  0.869257, Time  0.365031
2021-09-10 13:40:07.230083 : Epoch 10, Batch   2900, Loss  0.879003, Average Loss  0.869304, Time  0.355585
2021-09-10 13:40:09.106855 : Epoch 10, Batch   2901, Loss  0.864604, Average Loss  0.869294, Time  0.425163
2021-09-10 13:44:59.508735 : CheckPoint: Validation Loss  0.00062222, Best Loss  0.00056427
2021-09-10 13:45:01.287829 : Epoch 10, Batch   2902, Loss  0.863125, Average Loss  0.869310, Time  0.357665
2021-09-10 13:45:03.099761 : Epoch 10, Batch   2903, Loss  0.871648, Average Loss  0.869438, Time  0.371152
2021-09-10 13:45:04.995776 : Epoch 10, Batch   2904, Loss  0.833512, Average Loss  0.869298, Time  0.456949
2021-09-10 13:45:06.863762 : Epoch 10, Batch   2905, Loss  0.893203, Average Loss  0.869428, Time  0.420654
2021-09-10 13:45:08.644768 : Epoch 10, Batch   2906, Loss  0.874048, Average Loss  0.869591, Time  0.358572
2021-09-10 13:45:10.428763 : Epoch 10, Batch   2907, Loss  0.868771, Average Loss  0.869374, Time  0.355735
2021-09-10 13:45:12.301758 : Epoch 10, Batch   2908, Loss  0.845243, Average Loss  0.869385, Time  0.442506
2021-09-10 13:45:14.163808 : Epoch 10, Batch   2909, Loss  0.872661, Average Loss  0.869398, Time  0.448385
2021-09-10 13:45:15.952767 : Epoch 10, Batch   2910, Loss  0.877895, Average Loss  0.869287, Time  0.355647
2021-09-10 13:45:17.756069 : Epoch 10, Batch   2911, Loss  0.865469, Average Loss  0.869156, Time  0.356103
2021-09-10 13:45:19.583059 : Epoch 10, Batch   2912, Loss  0.864356, Average Loss  0.869049, Time  0.382955
2021-09-10 13:45:21.475777 : Epoch 10, Batch   2913, Loss  0.848880, Average Loss  0.868949, Time  0.454557
2021-09-10 13:45:23.262832 : Epoch 10, Batch   2914, Loss  0.896550, Average Loss  0.868861, Time  0.349964
2021-09-10 13:45:25.061854 : Epoch 10, Batch   2915, Loss  0.844118, Average Loss  0.868747, Time  0.356104
2021-09-10 13:45:26.869156 : Epoch 10, Batch   2916, Loss  0.881377, Average Loss  0.868755, Time  0.357029
2021-09-10 13:45:28.762764 : Epoch 10, Batch   2917, Loss  0.847222, Average Loss  0.868487, Time  0.449516
2021-09-10 13:45:30.530856 : Epoch 10, Batch   2918, Loss  0.879593, Average Loss  0.868598, Time  0.356210
2021-09-10 13:45:32.334065 : Epoch 10, Batch   2919, Loss  0.874752, Average Loss  0.868635, Time  0.358199
2021-09-10 13:45:34.127761 : Epoch 10, Batch   2920, Loss  0.850204, Average Loss  0.868564, Time  0.370610
2021-09-10 13:45:36.018256 : Epoch 10, Batch   2921, Loss  0.853210, Average Loss  0.868327, Time  0.451301
2021-09-10 13:45:37.797775 : Epoch 10, Batch   2922, Loss  0.872686, Average Loss  0.868384, Time  0.349506
2021-09-10 13:45:39.567803 : Epoch 10, Batch   2923, Loss  0.862465, Average Loss  0.868314, Time  0.360107
2021-09-10 13:45:41.361766 : Epoch 10, Batch   2924, Loss  0.877647, Average Loss  0.868402, Time  0.368505
2021-09-10 13:45:43.225107 : Epoch 10, Batch   2925, Loss  0.862359, Average Loss  0.868478, Time  0.460878
2021-09-10 13:45:45.031095 : Epoch 10, Batch   2926, Loss  0.847551, Average Loss  0.868306, Time  0.358271
2021-09-10 13:45:46.844094 : Epoch 10, Batch   2927, Loss  0.853631, Average Loss  0.868191, Time  0.367468
2021-09-10 13:45:48.612325 : Epoch 10, Batch   2928, Loss  0.869175, Average Loss  0.868074, Time  0.373710
2021-09-10 13:45:50.497779 : Epoch 10, Batch   2929, Loss  0.848073, Average Loss  0.867950, Time  0.462181
2021-09-10 13:45:52.280802 : Epoch 10, Batch   2930, Loss  0.879265, Average Loss  0.867937, Time  0.352375
2021-09-10 13:45:54.089778 : Epoch 10, Batch   2931, Loss  0.863190, Average Loss  0.867950, Time  0.374091
2021-09-10 13:45:55.885944 : Epoch 10, Batch   2932, Loss  0.860851, Average Loss  0.868029, Time  0.375073
2021-09-10 13:45:57.791899 : Epoch 10, Batch   2933, Loss  0.852289, Average Loss  0.867964, Time  0.467540
2021-09-10 13:45:59.679772 : Epoch 10, Batch   2934, Loss  0.861874, Average Loss  0.867987, Time  0.426285
2021-09-10 13:46:01.455296 : Epoch 10, Batch   2935, Loss  0.891762, Average Loss  0.868067, Time  0.358991
2021-09-10 13:46:03.242822 : Epoch 10, Batch   2936, Loss  0.850786, Average Loss  0.868053, Time  0.362827
2021-09-10 13:46:05.084869 : Epoch 10, Batch   2937, Loss  0.861361, Average Loss  0.867982, Time  0.422505
2021-09-10 13:46:06.988777 : Epoch 10, Batch   2938, Loss  0.888213, Average Loss  0.868173, Time  0.452182
2021-09-10 13:46:08.779059 : Epoch 10, Batch   2939, Loss  0.843213, Average Loss  0.867960, Time  0.335436
2021-09-10 13:46:10.559782 : Epoch 10, Batch   2940, Loss  0.852333, Average Loss  0.867769, Time  0.355994
2021-09-10 13:46:12.332786 : Epoch 10, Batch   2941, Loss  0.846253, Average Loss  0.867652, Time  0.364087
2021-09-10 13:46:14.222778 : Epoch 10, Batch   2942, Loss  0.885101, Average Loss  0.867714, Time  0.452746
2021-09-10 13:46:16.036815 : Epoch 10, Batch   2943, Loss  0.855262, Average Loss  0.867500, Time  0.373648
2021-09-10 13:46:17.799100 : Epoch 10, Batch   2944, Loss  0.871513, Average Loss  0.867471, Time  0.362364
2021-09-10 13:46:19.577104 : Epoch 10, Batch   2945, Loss  0.892360, Average Loss  0.867519, Time  0.364336
2021-09-10 13:46:21.487932 : Epoch 10, Batch   2946, Loss  0.839588, Average Loss  0.867355, Time  0.471580
2021-09-10 13:46:23.376775 : Epoch 10, Batch   2947, Loss  0.905136, Average Loss  0.867548, Time  0.446504
2021-09-10 13:46:25.166855 : Epoch 10, Batch   2948, Loss  0.846547, Average Loss  0.867401, Time  0.358305
2021-09-10 13:46:26.976782 : Epoch 10, Batch   2949, Loss  0.834081, Average Loss  0.867139, Time  0.355922
2021-09-10 13:46:28.811076 : Epoch 10, Batch   2950, Loss  0.871330, Average Loss  0.867226, Time  0.382296
2021-09-10 13:46:30.679829 : Epoch 10, Batch   2951, Loss  0.854532, Average Loss  0.867176, Time  0.454268
2021-09-10 13:46:32.463760 : Epoch 10, Batch   2952, Loss  0.846479, Average Loss  0.867102, Time  0.370651
2021-09-10 13:46:34.273913 : Epoch 10, Batch   2953, Loss  0.834093, Average Loss  0.867101, Time  0.361382
2021-09-10 13:46:36.066704 : Epoch 10, Batch   2954, Loss  0.879519, Average Loss  0.867186, Time  0.380826
2021-09-10 13:46:37.940005 : Epoch 10, Batch   2955, Loss  0.868520, Average Loss  0.867264, Time  0.450982
2021-09-10 13:46:39.714770 : Epoch 10, Batch   2956, Loss  0.868399, Average Loss  0.867281, Time  0.356486
2021-09-10 13:46:41.495093 : Epoch 10, Batch   2957, Loss  0.856452, Average Loss  0.867203, Time  0.356680
2021-09-10 13:46:43.287107 : Epoch 10, Batch   2958, Loss  0.862562, Average Loss  0.867102, Time  0.385057
2021-09-10 13:46:45.159863 : Epoch 10, Batch   2959, Loss  0.866941, Average Loss  0.867069, Time  0.462561
2021-09-10 13:46:46.931763 : Epoch 10, Batch   2960, Loss  0.870012, Average Loss  0.866955, Time  0.366202
2021-09-10 13:46:48.729097 : Epoch 10, Batch   2961, Loss  0.861082, Average Loss  0.866816, Time  0.362441
2021-09-10 13:46:50.539095 : Epoch 10, Batch   2962, Loss  0.886629, Average Loss  0.866970, Time  0.388552
2021-09-10 13:46:52.396814 : Epoch 10, Batch   2963, Loss  0.838724, Average Loss  0.866919, Time  0.454874
2021-09-10 13:46:54.189108 : Epoch 10, Batch   2964, Loss  0.864018, Average Loss  0.866774, Time  0.357889
2021-09-10 13:46:55.964782 : Epoch 10, Batch   2965, Loss  0.857815, Average Loss  0.866486, Time  0.363707
2021-09-10 13:46:57.775101 : Epoch 10, Batch   2966, Loss  0.856140, Average Loss  0.866373, Time  0.378995
2021-09-10 13:46:59.680059 : Epoch 10, Batch   2967, Loss  0.873913, Average Loss  0.866531, Time  0.458400
2021-09-10 13:47:01.460076 : Epoch 10, Batch   2968, Loss  0.853115, Average Loss  0.866406, Time  0.345161
2021-09-10 13:47:03.255762 : Epoch 10, Batch   2969, Loss  0.852854, Average Loss  0.866344, Time  0.357727
2021-09-10 13:47:05.042060 : Epoch 10, Batch   2970, Loss  0.871354, Average Loss  0.866332, Time  0.355294
2021-09-10 13:47:06.944752 : Epoch 10, Batch   2971, Loss  0.881824, Average Loss  0.866425, Time  0.462670
2021-09-10 13:47:08.784775 : Epoch 10, Batch   2972, Loss  0.890137, Average Loss  0.866457, Time  0.425529
2021-09-10 13:47:10.613974 : Epoch 10, Batch   2973, Loss  0.829233, Average Loss  0.866600, Time  0.363894
2021-09-10 13:47:12.398783 : Epoch 10, Batch   2974, Loss  0.866818, Average Loss  0.866472, Time  0.358397
2021-09-10 13:47:14.232965 : Epoch 10, Batch   2975, Loss  0.859945, Average Loss  0.866192, Time  0.416379
2021-09-10 13:47:16.110295 : Epoch 10, Batch   2976, Loss  0.856160, Average Loss  0.866131, Time  0.469813
2021-09-10 13:47:17.875779 : Epoch 10, Batch   2977, Loss  0.870128, Average Loss  0.866167, Time  0.356769
2021-09-10 13:47:19.679826 : Epoch 10, Batch   2978, Loss  0.850796, Average Loss  0.866036, Time  0.358512
2021-09-10 13:47:21.509782 : Epoch 10, Batch   2979, Loss  0.881462, Average Loss  0.866031, Time  0.390606
2021-09-10 13:47:23.384882 : Epoch 10, Batch   2980, Loss  0.868092, Average Loss  0.866103, Time  0.459188
2021-09-10 13:47:25.167775 : Epoch 10, Batch   2981, Loss  0.855372, Average Loss  0.865914, Time  0.355210
2021-09-10 13:47:26.950810 : Epoch 10, Batch   2982, Loss  0.870631, Average Loss  0.865900, Time  0.358051
2021-09-10 13:47:28.738369 : Epoch 10, Batch   2983, Loss  0.856132, Average Loss  0.865864, Time  0.364754
2021-09-10 13:47:30.604153 : Epoch 10, Batch   2984, Loss  0.855551, Average Loss  0.865742, Time  0.465725
2021-09-10 13:47:32.402090 : Epoch 10, Batch   2985, Loss  0.860174, Average Loss  0.865916, Time  0.381736
2021-09-10 13:47:34.186837 : Epoch 10, Batch   2986, Loss  0.855244, Average Loss  0.865886, Time  0.357673
2021-09-10 13:47:35.960812 : Epoch 10, Batch   2987, Loss  0.860814, Average Loss  0.865734, Time  0.372193
2021-09-10 13:47:37.852117 : Epoch 10, Batch   2988, Loss  0.863621, Average Loss  0.865880, Time  0.459471
2021-09-10 13:47:39.622760 : Epoch 10, Batch   2989, Loss  0.839422, Average Loss  0.865800, Time  0.363158
2021-09-10 13:47:41.401800 : Epoch 10, Batch   2990, Loss  0.873815, Average Loss  0.865854, Time  0.357422
2021-09-10 13:47:43.223773 : Epoch 10, Batch   2991, Loss  0.843897, Average Loss  0.865724, Time  0.379501
2021-09-10 13:47:45.111758 : Epoch 10, Batch   2992, Loss  0.863431, Average Loss  0.865768, Time  0.458320
2021-09-10 13:47:46.895781 : Epoch 10, Batch   2993, Loss  0.877527, Average Loss  0.865755, Time  0.363884
2021-09-10 13:47:48.685099 : Epoch 10, Batch   2994, Loss  0.860972, Average Loss  0.865750, Time  0.366469
2021-09-10 13:47:50.482647 : Epoch 10, Batch   2995, Loss  0.855460, Average Loss  0.865513, Time  0.399135
2021-09-10 13:47:52.350896 : Epoch 10, Batch   2996, Loss  0.855105, Average Loss  0.865516, Time  0.461880
2021-09-10 13:47:54.129773 : Epoch 10, Batch   2997, Loss  0.867512, Average Loss  0.865626, Time  0.367657
2021-09-10 13:47:55.907229 : Epoch 10, Batch   2998, Loss  0.894746, Average Loss  0.865746, Time  0.363314
2021-09-10 13:47:57.715777 : Epoch 10, Batch   2999, Loss  0.873795, Average Loss  0.865703, Time  0.400270
2021-09-10 13:47:59.583952 : Epoch 10, Batch   3000, Loss  0.837001, Average Loss  0.865502, Time  0.458739
2021-09-10 13:48:01.435859 : Epoch 10, Batch   3001, Loss  0.881400, Average Loss  0.865597, Time  0.357011
2021-09-10 13:52:51.772730 : CheckPoint: Validation Loss  0.00060405, Best Loss  0.00056427
2021-09-10 13:52:53.554777 : Epoch 10, Batch   3002, Loss  0.848493, Average Loss  0.865571, Time  0.359023
2021-09-10 13:52:55.388777 : Epoch 10, Batch   3003, Loss  0.872060, Average Loss  0.865559, Time  0.421824
2021-09-10 13:52:57.279081 : Epoch 10, Batch   3004, Loss  0.893427, Average Loss  0.865564, Time  0.452926
2021-09-10 13:52:59.056094 : Epoch 10, Batch   3005, Loss  0.863177, Average Loss  0.865751, Time  0.341534
2021-09-10 13:53:00.819239 : Epoch 10, Batch   3006, Loss  0.832159, Average Loss  0.865626, Time  0.360244
2021-09-10 13:53:02.603773 : Epoch 10, Batch   3007, Loss  0.884134, Average Loss  0.865718, Time  0.361985
2021-09-10 13:53:04.495101 : Epoch 10, Batch   3008, Loss  0.881266, Average Loss  0.865866, Time  0.468730
2021-09-10 13:53:06.361763 : Epoch 10, Batch   3009, Loss  0.867761, Average Loss  0.865779, Time  0.409207
2021-09-10 13:53:08.159096 : Epoch 10, Batch   3010, Loss  0.865972, Average Loss  0.865899, Time  0.368089
2021-09-10 13:53:09.927764 : Epoch 10, Batch   3011, Loss  0.867447, Average Loss  0.865791, Time  0.360227
2021-09-10 13:53:11.787104 : Epoch 10, Batch   3012, Loss  0.868124, Average Loss  0.865792, Time  0.455084
2021-09-10 13:53:13.663764 : Epoch 10, Batch   3013, Loss  0.868463, Average Loss  0.865787, Time  0.463541
2021-09-10 13:53:15.461774 : Epoch 10, Batch   3014, Loss  0.899484, Average Loss  0.865962, Time  0.372795
2021-09-10 13:53:17.243096 : Epoch 10, Batch   3015, Loss  0.877034, Average Loss  0.866028, Time  0.363979
2021-09-10 13:53:19.054776 : Epoch 10, Batch   3016, Loss  0.852359, Average Loss  0.865911, Time  0.378214
2021-09-10 13:53:20.936773 : Epoch 10, Batch   3017, Loss  0.847036, Average Loss  0.865813, Time  0.467602
2021-09-10 13:53:22.703174 : Epoch 10, Batch   3018, Loss  0.862307, Average Loss  0.865779, Time  0.361152
2021-09-10 13:53:24.460777 : Epoch 10, Batch   3019, Loss  0.886580, Average Loss  0.865695, Time  0.355732
2021-09-10 13:53:26.260239 : Epoch 10, Batch   3020, Loss  0.891706, Average Loss  0.865693, Time  0.382604
2021-09-10 13:53:28.120243 : Epoch 10, Batch   3021, Loss  0.884881, Average Loss  0.865867, Time  0.446075
2021-09-10 13:53:29.914765 : Epoch 10, Batch   3022, Loss  0.884749, Average Loss  0.865929, Time  0.361319
2021-09-10 13:53:31.677775 : Epoch 10, Batch   3023, Loss  0.856932, Average Loss  0.865819, Time  0.362157
2021-09-10 13:53:33.512785 : Epoch 10, Batch   3024, Loss  0.863085, Average Loss  0.865829, Time  0.404097
2021-09-10 13:53:35.370133 : Epoch 10, Batch   3025, Loss  0.847251, Average Loss  0.865724, Time  0.459945
2021-09-10 13:53:37.140778 : Epoch 10, Batch   3026, Loss  0.874112, Average Loss  0.865719, Time  0.360316
2021-09-10 13:53:38.922269 : Epoch 10, Batch   3027, Loss  0.846158, Average Loss  0.865742, Time  0.363862
2021-09-10 13:53:40.742863 : Epoch 10, Batch   3028, Loss  0.867998, Average Loss  0.865817, Time  0.419294
2021-09-10 13:53:42.596914 : Epoch 10, Batch   3029, Loss  0.867518, Average Loss  0.865636, Time  0.444542
2021-09-10 13:53:44.392766 : Epoch 10, Batch   3030, Loss  0.856637, Average Loss  0.865585, Time  0.356423
2021-09-10 13:53:46.188747 : Epoch 10, Batch   3031, Loss  0.852370, Average Loss  0.865546, Time  0.368989
2021-09-10 13:53:48.015187 : Epoch 10, Batch   3032, Loss  0.885882, Average Loss  0.865643, Time  0.412613
2021-09-10 13:53:49.894939 : Epoch 10, Batch   3033, Loss  0.871334, Average Loss  0.865628, Time  0.450762
2021-09-10 13:53:51.684094 : Epoch 10, Batch   3034, Loss  0.876449, Average Loss  0.865770, Time  0.357153
2021-09-10 13:53:53.497102 : Epoch 10, Batch   3035, Loss  0.870433, Average Loss  0.865823, Time  0.372049
2021-09-10 13:53:55.291737 : Epoch 10, Batch   3036, Loss  0.883564, Average Loss  0.866157, Time  0.384157
2021-09-10 13:53:57.190098 : Epoch 10, Batch   3037, Loss  0.890779, Average Loss  0.866230, Time  0.459993
2021-09-10 13:53:58.961854 : Epoch 10, Batch   3038, Loss  0.880885, Average Loss  0.866366, Time  0.365329
2021-09-10 13:54:00.736926 : Epoch 10, Batch   3039, Loss  0.895304, Average Loss  0.866591, Time  0.354704
2021-09-10 13:54:02.546775 : Epoch 10, Batch   3040, Loss  0.875186, Average Loss  0.866486, Time  0.413156
2021-09-10 13:54:04.416891 : Epoch 10, Batch   3041, Loss  0.866288, Average Loss  0.866536, Time  0.450558
2021-09-10 13:54:06.187665 : Epoch 10, Batch   3042, Loss  0.885474, Average Loss  0.866617, Time  0.356382
2021-09-10 13:54:07.959873 : Epoch 10, Batch   3043, Loss  0.874186, Average Loss  0.866550, Time  0.369421
2021-09-10 13:54:09.783889 : Epoch 10, Batch   3044, Loss  0.879817, Average Loss  0.866554, Time  0.408851
2021-09-10 13:54:11.659767 : Epoch 10, Batch   3045, Loss  0.867458, Average Loss  0.866547, Time  0.451691
2021-09-10 13:54:13.447777 : Epoch 10, Batch   3046, Loss  0.864943, Average Loss  0.866462, Time  0.357113
2021-09-10 13:54:15.231462 : Epoch 10, Batch   3047, Loss  0.842755, Average Loss  0.866277, Time  0.362236
2021-09-10 13:54:17.049103 : Epoch 10, Batch   3048, Loss  0.849329, Average Loss  0.866089, Time  0.416977
2021-09-10 13:54:18.904237 : Epoch 10, Batch   3049, Loss  0.844746, Average Loss  0.866022, Time  0.455641
2021-09-10 13:54:20.684122 : Epoch 10, Batch   3050, Loss  0.873561, Average Loss  0.866027, Time  0.366831
2021-09-10 13:54:22.451091 : Epoch 10, Batch   3051, Loss  0.878976, Average Loss  0.866003, Time  0.359808
2021-09-10 13:54:24.264106 : Epoch 10, Batch   3052, Loss  0.858813, Average Loss  0.866000, Time  0.407329
2021-09-10 13:54:26.162522 : Epoch 10, Batch   3053, Loss  0.883039, Average Loss  0.866088, Time  0.463719
2021-09-10 13:54:27.929101 : Epoch 10, Batch   3054, Loss  0.863317, Average Loss  0.866010, Time  0.362023
2021-09-10 13:54:29.709954 : Epoch 10, Batch   3055, Loss  0.846945, Average Loss  0.865838, Time  0.366679
2021-09-10 13:54:31.506094 : Epoch 10, Batch   3056, Loss  0.841036, Average Loss  0.865860, Time  0.391240
2021-09-10 13:54:33.401998 : Epoch 10, Batch   3057, Loss  0.850309, Average Loss  0.865835, Time  0.454490
2021-09-10 13:54:35.209115 : Epoch 10, Batch   3058, Loss  0.883233, Average Loss  0.865942, Time  0.357051
2021-09-10 13:54:36.983238 : Epoch 10, Batch   3059, Loss  0.848536, Average Loss  0.865831, Time  0.357226
2021-09-10 13:54:38.794781 : Epoch 10, Batch   3060, Loss  0.883066, Average Loss  0.865973, Time  0.392761
2021-09-10 13:54:40.692067 : Epoch 10, Batch   3061, Loss  0.876497, Average Loss  0.866022, Time  0.452398
2021-09-10 13:54:42.498783 : Epoch 10, Batch   3062, Loss  0.856582, Average Loss  0.865892, Time  0.370526
2021-09-10 13:54:44.284800 : Epoch 10, Batch   3063, Loss  0.892019, Average Loss  0.866108, Time  0.355976
2021-09-10 13:54:46.064149 : Epoch 10, Batch   3064, Loss  0.913847, Average Loss  0.866186, Time  0.365068
2021-09-10 13:54:47.925235 : Epoch 10, Batch   3065, Loss  0.868494, Average Loss  0.866342, Time  0.457465
2021-09-10 13:54:49.709774 : Epoch 10, Batch   3066, Loss  0.845936, Average Loss  0.866241, Time  0.358845
2021-09-10 13:54:51.513113 : Epoch 10, Batch   3067, Loss  0.853812, Average Loss  0.866246, Time  0.365560
2021-09-10 13:54:53.314921 : Epoch 10, Batch   3068, Loss  0.883248, Average Loss  0.866261, Time  0.396232
2021-09-10 13:54:55.191029 : Epoch 10, Batch   3069, Loss  0.868608, Average Loss  0.866231, Time  0.456514
2021-09-10 13:54:56.992091 : Epoch 10, Batch   3070, Loss  0.856495, Average Loss  0.866063, Time  0.356400
2021-09-10 13:54:58.765802 : Epoch 10, Batch   3071, Loss  0.885017, Average Loss  0.866159, Time  0.359684
2021-09-10 13:55:00.560960 : Epoch 10, Batch   3072, Loss  0.850965, Average Loss  0.866002, Time  0.368975
2021-09-10 13:55:02.443859 : Epoch 10, Batch   3073, Loss  0.872769, Average Loss  0.865951, Time  0.452345
2021-09-10 13:55:04.226774 : Epoch 10, Batch   3074, Loss  0.855204, Average Loss  0.865944, Time  0.335110
2021-09-10 13:55:06.014900 : Epoch 10, Batch   3075, Loss  0.862909, Average Loss  0.865886, Time  0.356319
2021-09-10 13:55:07.818764 : Epoch 10, Batch   3076, Loss  0.881825, Average Loss  0.865860, Time  0.356287
2021-09-10 13:55:09.709207 : Epoch 10, Batch   3077, Loss  0.855676, Average Loss  0.865753, Time  0.453185
2021-09-10 13:55:11.557060 : Epoch 10, Batch   3078, Loss  0.889560, Average Loss  0.866040, Time  0.414827
2021-09-10 13:55:13.351765 : Epoch 10, Batch   3079, Loss  0.877141, Average Loss  0.866122, Time  0.357520
2021-09-10 13:55:15.126767 : Epoch 10, Batch   3080, Loss  0.868898, Average Loss  0.866019, Time  0.357656
2021-09-10 13:55:16.988813 : Epoch 10, Batch   3081, Loss  0.882628, Average Loss  0.866097, Time  0.435061
2021-09-10 13:55:18.860074 : Epoch 10, Batch   3082, Loss  0.844128, Average Loss  0.865938, Time  0.450688
2021-09-10 13:55:20.666071 : Epoch 10, Batch   3083, Loss  0.863632, Average Loss  0.865913, Time  0.357559
2021-09-10 13:55:22.477908 : Epoch 10, Batch   3084, Loss  0.879222, Average Loss  0.866007, Time  0.358336
2021-09-10 13:55:24.286045 : Epoch 10, Batch   3085, Loss  0.880126, Average Loss  0.866087, Time  0.368309
2021-09-10 13:55:26.159787 : Epoch 10, Batch   3086, Loss  0.902885, Average Loss  0.866356, Time  0.453536
2021-09-10 13:55:27.958779 : Epoch 10, Batch   3087, Loss  0.871940, Average Loss  0.866321, Time  0.363924
2021-09-10 13:55:29.752011 : Epoch 10, Batch   3088, Loss  0.877418, Average Loss  0.866264, Time  0.359007
2021-09-10 13:55:31.551814 : Epoch 10, Batch   3089, Loss  0.874288, Average Loss  0.866305, Time  0.360014
2021-09-10 13:55:33.448101 : Epoch 10, Batch   3090, Loss  0.868130, Average Loss  0.866303, Time  0.461531
2021-09-10 13:55:35.234806 : Epoch 10, Batch   3091, Loss  0.869965, Average Loss  0.866357, Time  0.348164
2021-09-10 13:55:37.019815 : Epoch 10, Batch   3092, Loss  0.883049, Average Loss  0.866410, Time  0.366742
2021-09-10 13:55:38.837224 : Epoch 10, Batch   3093, Loss  0.906142, Average Loss  0.866713, Time  0.370119
2021-09-10 13:55:40.750091 : Epoch 10, Batch   3094, Loss  0.870628, Average Loss  0.866765, Time  0.461637
2021-09-10 13:55:42.547288 : Epoch 10, Batch   3095, Loss  0.830903, Average Loss  0.866489, Time  0.371668
2021-09-10 13:55:44.336778 : Epoch 10, Batch   3096, Loss  0.875415, Average Loss  0.866492, Time  0.368209
2021-09-10 13:55:46.126928 : Epoch 10, Batch   3097, Loss  0.896743, Average Loss  0.866610, Time  0.368524
2021-09-10 13:55:48.022775 : Epoch 10, Batch   3098, Loss  0.875253, Average Loss  0.866725, Time  0.456832
2021-09-10 13:55:49.929782 : Epoch 10, Batch   3099, Loss  0.874945, Average Loss  0.866820, Time  0.459105
2021-09-10 13:55:51.722964 : Epoch 10, Batch   3100, Loss  0.889885, Average Loss  0.866874, Time  0.357696
2021-09-10 13:55:53.493095 : Epoch 10, Batch   3101, Loss  0.879692, Average Loss  0.866950, Time  0.357726
2021-09-10 14:00:43.701724 : CheckPoint: Validation Loss  0.00060518, Best Loss  0.00056427
2021-09-10 14:00:45.467241 : Epoch 10, Batch   3102, Loss  0.875812, Average Loss  0.867013, Time  0.357585
2021-09-10 14:00:47.235079 : Epoch 10, Batch   3103, Loss  0.873953, Average Loss  0.867025, Time  0.362294
2021-09-10 14:00:49.057163 : Epoch 10, Batch   3104, Loss  0.882864, Average Loss  0.867271, Time  0.423777
2021-09-10 14:00:50.927063 : Epoch 10, Batch   3105, Loss  0.841300, Average Loss  0.867012, Time  0.451408
2021-09-10 14:00:52.719761 : Epoch 10, Batch   3106, Loss  0.868475, Average Loss  0.866984, Time  0.355783
2021-09-10 14:00:54.496779 : Epoch 10, Batch   3107, Loss  0.868503, Average Loss  0.866983, Time  0.356636
2021-09-10 14:00:56.321774 : Epoch 10, Batch   3108, Loss  0.891457, Average Loss  0.867214, Time  0.380464
2021-09-10 14:00:58.209780 : Epoch 10, Batch   3109, Loss  0.868660, Average Loss  0.867194, Time  0.450343
2021-09-10 14:00:59.988925 : Epoch 10, Batch   3110, Loss  0.878075, Average Loss  0.867195, Time  0.340075
2021-09-10 14:01:01.788777 : Epoch 10, Batch   3111, Loss  0.863667, Average Loss  0.867186, Time  0.356297
2021-09-10 14:01:03.577782 : Epoch 10, Batch   3112, Loss  0.853388, Average Loss  0.867131, Time  0.356369
2021-09-10 14:01:05.468764 : Epoch 10, Batch   3113, Loss  0.848229, Average Loss  0.867128, Time  0.450901
2021-09-10 14:01:07.304810 : Epoch 10, Batch   3114, Loss  0.869581, Average Loss  0.866993, Time  0.429890
2021-09-10 14:01:09.085777 : Epoch 10, Batch   3115, Loss  0.866470, Average Loss  0.867104, Time  0.356637
2021-09-10 14:01:10.894103 : Epoch 10, Batch   3116, Loss  0.891626, Average Loss  0.867156, Time  0.363197
2021-09-10 14:01:12.752087 : Epoch 10, Batch   3117, Loss  0.880835, Average Loss  0.867324, Time  0.424880
2021-09-10 14:01:14.654238 : Epoch 10, Batch   3118, Loss  0.881628, Average Loss  0.867334, Time  0.460169
2021-09-10 14:01:16.436144 : Epoch 10, Batch   3119, Loss  0.839474, Average Loss  0.867158, Time  0.343997
2021-09-10 14:01:18.188062 : Epoch 10, Batch   3120, Loss  0.847642, Average Loss  0.867145, Time  0.357999
2021-09-10 14:01:19.991819 : Epoch 10, Batch   3121, Loss  0.879725, Average Loss  0.867277, Time  0.356913
2021-09-10 14:01:21.900132 : Epoch 10, Batch   3122, Loss  0.872470, Average Loss  0.867276, Time  0.452142
2021-09-10 14:01:23.777770 : Epoch 10, Batch   3123, Loss  0.838535, Average Loss  0.867157, Time  0.437791
2021-09-10 14:01:25.560817 : Epoch 10, Batch   3124, Loss  0.904702, Average Loss  0.867292, Time  0.358361
2021-09-10 14:01:27.332761 : Epoch 10, Batch   3125, Loss  0.848794, Average Loss  0.867224, Time  0.357604
2021-09-10 14:01:29.163670 : Epoch 10, Batch   3126, Loss  0.869873, Average Loss  0.867336, Time  0.423411
2021-09-10 14:01:31.054778 : Epoch 10, Batch   3127, Loss  0.881100, Average Loss  0.867473, Time  0.449338
2021-09-10 14:01:32.854808 : Epoch 10, Batch   3128, Loss  0.878815, Average Loss  0.867521, Time  0.371127
2021-09-10 14:01:34.637773 : Epoch 10, Batch   3129, Loss  0.872975, Average Loss  0.867646, Time  0.363832
2021-09-10 14:01:36.427926 : Epoch 10, Batch   3130, Loss  0.872176, Average Loss  0.867610, Time  0.377506
2021-09-10 14:01:38.322776 : Epoch 10, Batch   3131, Loss  0.863616, Average Loss  0.867612, Time  0.451972
2021-09-10 14:01:40.084818 : Epoch 10, Batch   3132, Loss  0.884926, Average Loss  0.867733, Time  0.336742
2021-09-10 14:01:41.864948 : Epoch 10, Batch   3133, Loss  0.873341, Average Loss  0.867838, Time  0.362627
2021-09-10 14:01:43.652091 : Epoch 10, Batch   3134, Loss  0.867872, Average Loss  0.867868, Time  0.363754
2021-09-10 14:01:45.582859 : Epoch 10, Batch   3135, Loss  0.884564, Average Loss  0.867832, Time  0.455936
2021-09-10 14:01:47.443066 : Epoch 10, Batch   3136, Loss  0.866865, Average Loss  0.867912, Time  0.420329
2021-09-10 14:01:49.238813 : Epoch 10, Batch   3137, Loss  0.859959, Average Loss  0.867905, Time  0.367518
2021-09-10 14:01:51.039089 : Epoch 10, Batch   3138, Loss  0.851526, Average Loss  0.867722, Time  0.372074
2021-09-10 14:01:52.883811 : Epoch 10, Batch   3139, Loss  0.870153, Average Loss  0.867857, Time  0.417106
2021-09-10 14:01:54.770176 : Epoch 10, Batch   3140, Loss  0.850364, Average Loss  0.867847, Time  0.450277
2021-09-10 14:01:56.552790 : Epoch 10, Batch   3141, Loss  0.868883, Average Loss  0.867960, Time  0.356131
2021-09-10 14:01:58.334770 : Epoch 10, Batch   3142, Loss  0.862535, Average Loss  0.867847, Time  0.357901
2021-09-10 14:02:00.173815 : Epoch 10, Batch   3143, Loss  0.867710, Average Loss  0.867909, Time  0.384231
2021-09-10 14:02:02.079080 : Epoch 10, Batch   3144, Loss  0.854869, Average Loss  0.867826, Time  0.454415
2021-09-10 14:02:03.865774 : Epoch 10, Batch   3145, Loss  0.857423, Average Loss  0.867652, Time  0.358537
2021-09-10 14:02:05.697117 : Epoch 10, Batch   3146, Loss  0.838637, Average Loss  0.867647, Time  0.413383
2021-09-10 14:02:07.537240 : Epoch 10, Batch   3147, Loss  0.847235, Average Loss  0.867357, Time  0.419897
2021-09-10 14:02:09.430778 : Epoch 10, Batch   3148, Loss  0.853959, Average Loss  0.867394, Time  0.468605
2021-09-10 14:02:11.208229 : Epoch 10, Batch   3149, Loss  0.864390, Average Loss  0.867546, Time  0.354791
2021-09-10 14:02:12.990005 : Epoch 10, Batch   3150, Loss  0.855808, Average Loss  0.867468, Time  0.367930
2021-09-10 14:02:14.778162 : Epoch 10, Batch   3151, Loss  0.865844, Average Loss  0.867525, Time  0.362494
2021-09-10 14:02:16.670067 : Epoch 10, Batch   3152, Loss  0.838878, Average Loss  0.867487, Time  0.450833
2021-09-10 14:02:18.432106 : Epoch 10, Batch   3153, Loss  0.853005, Average Loss  0.867581, Time  0.342490
2021-09-10 14:02:20.210776 : Epoch 10, Batch   3154, Loss  0.874353, Average Loss  0.867556, Time  0.357026
2021-09-10 14:02:22.024018 : Epoch 10, Batch   3155, Loss  0.897426, Average Loss  0.867700, Time  0.355640
2021-09-10 14:02:23.917878 : Epoch 10, Batch   3156, Loss  0.861424, Average Loss  0.867665, Time  0.450856
2021-09-10 14:02:25.772863 : Epoch 10, Batch   3157, Loss  0.893245, Average Loss  0.867849, Time  0.409568
2021-09-10 14:02:27.549770 : Epoch 10, Batch   3158, Loss  0.907160, Average Loss  0.868072, Time  0.355635
2021-09-10 14:02:29.332783 : Epoch 10, Batch   3159, Loss  0.859514, Average Loss  0.868035, Time  0.357054
2021-09-10 14:02:31.206775 : Epoch 10, Batch   3160, Loss  0.867318, Average Loss  0.868022, Time  0.429758
2021-09-10 14:02:33.098083 : Epoch 10, Batch   3161, Loss  0.878810, Average Loss  0.868110, Time  0.452962
2021-09-10 14:02:34.901776 : Epoch 10, Batch   3162, Loss  0.889348, Average Loss  0.868124, Time  0.357060
2021-09-10 14:02:36.690120 : Epoch 10, Batch   3163, Loss  0.854449, Average Loss  0.868202, Time  0.358040
2021-09-10 14:02:38.485378 : Epoch 10, Batch   3164, Loss  0.842691, Average Loss  0.868096, Time  0.363446
2021-09-10 14:02:40.352091 : Epoch 10, Batch   3165, Loss  0.860771, Average Loss  0.868111, Time  0.450924
2021-09-10 14:02:42.144807 : Epoch 10, Batch   3166, Loss  0.866443, Average Loss  0.868162, Time  0.352683
2021-09-10 14:02:43.954805 : Epoch 10, Batch   3167, Loss  0.881152, Average Loss  0.868198, Time  0.357708
2021-09-10 14:02:45.790881 : Epoch 10, Batch   3168, Loss  0.897217, Average Loss  0.868419, Time  0.360811
2021-09-10 14:02:47.648763 : Epoch 10, Batch   3169, Loss  0.836031, Average Loss  0.868335, Time  0.449020
2021-09-10 14:02:49.440117 : Epoch 10, Batch   3170, Loss  0.861684, Average Loss  0.868286, Time  0.364711
2021-09-10 14:02:51.208780 : Epoch 10, Batch   3171, Loss  0.866896, Average Loss  0.868212, Time  0.355647
2021-09-10 14:02:53.038789 : Epoch 10, Batch   3172, Loss  0.884890, Average Loss  0.868185, Time  0.375270
2021-09-10 14:02:54.925780 : Epoch 10, Batch   3173, Loss  0.856236, Average Loss  0.868320, Time  0.450697
2021-09-10 14:02:56.710819 : Epoch 10, Batch   3174, Loss  0.883731, Average Loss  0.868405, Time  0.335471
2021-09-10 14:02:58.509173 : Epoch 10, Batch   3175, Loss  0.888195, Average Loss  0.868546, Time  0.355960
2021-09-10 14:03:00.310072 : Epoch 10, Batch   3176, Loss  0.898435, Average Loss  0.868758, Time  0.355325
2021-09-10 14:03:02.206081 : Epoch 10, Batch   3177, Loss  0.865044, Average Loss  0.868732, Time  0.451052
2021-09-10 14:03:04.052088 : Epoch 10, Batch   3178, Loss  0.850401, Average Loss  0.868730, Time  0.413338
2021-09-10 14:03:05.831227 : Epoch 10, Batch   3179, Loss  0.862705, Average Loss  0.868636, Time  0.358361
2021-09-10 14:03:07.618777 : Epoch 10, Batch   3180, Loss  0.856158, Average Loss  0.868577, Time  0.357721
2021-09-10 14:03:09.498791 : Epoch 10, Batch   3181, Loss  0.887256, Average Loss  0.868736, Time  0.436452
2021-09-10 14:03:11.348816 : Epoch 10, Batch   3182, Loss  0.861191, Average Loss  0.868689, Time  0.452512
2021-09-10 14:03:13.114227 : Epoch 10, Batch   3183, Loss  0.868862, Average Loss  0.868753, Time  0.359903
2021-09-10 14:03:14.904764 : Epoch 10, Batch   3184, Loss  0.862219, Average Loss  0.868786, Time  0.356356
2021-09-10 14:03:16.749774 : Epoch 10, Batch   3185, Loss  0.844684, Average Loss  0.868709, Time  0.405770
2021-09-10 14:03:18.628261 : Epoch 10, Batch   3186, Loss  0.863535, Average Loss  0.868750, Time  0.459971
2021-09-10 14:03:20.403213 : Epoch 10, Batch   3187, Loss  0.875653, Average Loss  0.868824, Time  0.363338
2021-09-10 14:03:22.206774 : Epoch 10, Batch   3188, Loss  0.873888, Average Loss  0.868876, Time  0.357305
2021-09-10 14:03:24.020109 : Epoch 10, Batch   3189, Loss  0.872481, Average Loss  0.869041, Time  0.380538
2021-09-10 14:03:25.905368 : Epoch 10, Batch   3190, Loss  0.885390, Average Loss  0.869099, Time  0.465623
2021-09-10 14:03:27.697212 : Epoch 10, Batch   3191, Loss  0.873258, Average Loss  0.869246, Time  0.368952
2021-09-10 14:03:29.468233 : Epoch 10, Batch   3192, Loss  0.867528, Average Loss  0.869266, Time  0.358139
2021-09-10 14:03:31.239229 : Epoch 10, Batch   3193, Loss  0.892238, Average Loss  0.869340, Time  0.370394
2021-09-10 14:03:33.111858 : Epoch 10, Batch   3194, Loss  0.887881, Average Loss  0.869474, Time  0.456757
2021-09-10 14:03:34.915942 : Epoch 10, Batch   3195, Loss  0.876081, Average Loss  0.869577, Time  0.354299
2021-09-10 14:03:36.729867 : Epoch 10, Batch   3196, Loss  0.853724, Average Loss  0.869570, Time  0.360120
2021-09-10 14:03:38.516761 : Epoch 10, Batch   3197, Loss  0.911021, Average Loss  0.869788, Time  0.359362
2021-09-10 14:03:40.380229 : Epoch 10, Batch   3198, Loss  0.849553, Average Loss  0.869562, Time  0.456424
2021-09-10 14:03:42.170781 : Epoch 10, Batch   3199, Loss  0.889248, Average Loss  0.869639, Time  0.357684
2021-09-10 14:03:43.958992 : Epoch 10, Batch   3200, Loss  0.876231, Average Loss  0.869835, Time  0.364294
2021-09-10 14:03:45.772091 : Epoch 10, Batch   3201, Loss  0.852921, Average Loss  0.869693, Time  0.386240
2021-09-10 14:08:36.963721 : CheckPoint: Validation Loss  0.00060397, Best Loss  0.00056427
2021-09-10 14:08:38.839015 : Epoch 10, Batch   3202, Loss  0.881343, Average Loss  0.869857, Time  0.427996
2021-09-10 14:08:40.630775 : Epoch 10, Batch   3203, Loss  0.836162, Average Loss  0.869678, Time  0.364119
2021-09-10 14:08:42.435047 : Epoch 10, Batch   3204, Loss  0.871953, Average Loss  0.869570, Time  0.369948
2021-09-10 14:08:44.284773 : Epoch 10, Batch   3205, Loss  0.834484, Average Loss  0.869427, Time  0.428536
2021-09-10 14:08:46.173911 : Epoch 10, Batch   3206, Loss  0.861032, Average Loss  0.869571, Time  0.451706
2021-09-10 14:08:47.966293 : Epoch 10, Batch   3207, Loss  0.871882, Average Loss  0.869510, Time  0.365526
2021-09-10 14:08:49.758770 : Epoch 10, Batch   3208, Loss  0.836029, Average Loss  0.869284, Time  0.365863
2021-09-10 14:08:51.548154 : Epoch 10, Batch   3209, Loss  0.870611, Average Loss  0.869298, Time  0.371551
2021-09-10 14:08:53.441763 : Epoch 10, Batch   3210, Loss  0.876456, Average Loss  0.869350, Time  0.456084
2021-09-10 14:08:55.222177 : Epoch 10, Batch   3211, Loss  0.851589, Average Loss  0.869271, Time  0.354972
2021-09-10 14:08:57.023063 : Epoch 10, Batch   3212, Loss  0.887254, Average Loss  0.869367, Time  0.357578
2021-09-10 14:08:58.848765 : Epoch 10, Batch   3213, Loss  0.895031, Average Loss  0.869500, Time  0.373953
2021-09-10 14:09:00.741880 : Epoch 10, Batch   3214, Loss  0.892182, Average Loss  0.869463, Time  0.450721
2021-09-10 14:09:02.522842 : Epoch 10, Batch   3215, Loss  0.878950, Average Loss  0.869473, Time  0.345959
2021-09-10 14:09:04.296572 : Epoch 10, Batch   3216, Loss  0.888782, Average Loss  0.869655, Time  0.361089
2021-09-10 14:09:06.073090 : Epoch 10, Batch   3217, Loss  0.895661, Average Loss  0.869898, Time  0.356631
2021-09-10 14:09:07.987766 : Epoch 10, Batch   3218, Loss  0.868170, Average Loss  0.869927, Time  0.459769
2021-09-10 14:09:09.865828 : Epoch 10, Batch   3219, Loss  0.892780, Average Loss  0.869958, Time  0.423068
2021-09-10 14:09:11.671871 : Epoch 10, Batch   3220, Loss  0.882367, Average Loss  0.869912, Time  0.369257
2021-09-10 14:09:13.501767 : Epoch 10, Batch   3221, Loss  0.878109, Average Loss  0.869878, Time  0.372198
2021-09-10 14:09:15.359232 : Epoch 10, Batch   3222, Loss  0.881473, Average Loss  0.869861, Time  0.419886
2021-09-10 14:09:17.252778 : Epoch 10, Batch   3223, Loss  0.879087, Average Loss  0.869972, Time  0.451659
2021-09-10 14:09:19.039769 : Epoch 10, Batch   3224, Loss  0.843852, Average Loss  0.869876, Time  0.363413
2021-09-10 14:09:20.809575 : Epoch 10, Batch   3225, Loss  0.881679, Average Loss  0.870048, Time  0.363927
2021-09-10 14:09:22.607097 : Epoch 10, Batch   3226, Loss  0.846960, Average Loss  0.869912, Time  0.383440
2021-09-10 14:09:24.498101 : Epoch 10, Batch   3227, Loss  0.876069, Average Loss  0.870062, Time  0.453059
2021-09-10 14:09:26.288774 : Epoch 10, Batch   3228, Loss  0.864174, Average Loss  0.870043, Time  0.363847
2021-09-10 14:09:28.077946 : Epoch 10, Batch   3229, Loss  0.885498, Average Loss  0.870133, Time  0.368632
2021-09-10 14:09:29.874099 : Epoch 10, Batch   3230, Loss  0.863170, Average Loss  0.870165, Time  0.371221
2021-09-10 14:09:31.744067 : Epoch 10, Batch   3231, Loss  0.876080, Average Loss  0.870284, Time  0.452940
2021-09-10 14:09:33.543855 : Epoch 10, Batch   3232, Loss  0.896682, Average Loss  0.870338, Time  0.361576
2021-09-10 14:09:35.313089 : Epoch 10, Batch   3233, Loss  0.873752, Average Loss  0.870350, Time  0.364612
2021-09-10 14:09:37.167096 : Epoch 10, Batch   3234, Loss  0.878258, Average Loss  0.870359, Time  0.365417
2021-09-10 14:09:39.087106 : Epoch 10, Batch   3235, Loss  0.883116, Average Loss  0.870422, Time  0.472731
2021-09-10 14:09:40.980861 : Epoch 10, Batch   3236, Loss  0.876038, Average Loss  0.870385, Time  0.440666
2021-09-10 14:09:42.793100 : Epoch 10, Batch   3237, Loss  0.867607, Average Loss  0.870269, Time  0.365623
2021-09-10 14:09:44.581900 : Epoch 10, Batch   3238, Loss  0.855740, Average Loss  0.870143, Time  0.355640
2021-09-10 14:09:46.401775 : Epoch 10, Batch   3239, Loss  0.868848, Average Loss  0.870011, Time  0.411782
2021-09-10 14:09:48.296226 : Epoch 10, Batch   3240, Loss  0.871466, Average Loss  0.869992, Time  0.454127
2021-09-10 14:09:50.077773 : Epoch 10, Batch   3241, Loss  0.871540, Average Loss  0.870019, Time  0.370515
2021-09-10 14:09:51.857234 : Epoch 10, Batch   3242, Loss  0.889709, Average Loss  0.870040, Time  0.361233
2021-09-10 14:09:53.658772 : Epoch 10, Batch   3243, Loss  0.879180, Average Loss  0.870065, Time  0.389568
2021-09-10 14:09:55.538098 : Epoch 10, Batch   3244, Loss  0.897814, Average Loss  0.870155, Time  0.455489
2021-09-10 14:09:57.303770 : Epoch 10, Batch   3245, Loss  0.870468, Average Loss  0.870170, Time  0.362329
2021-09-10 14:09:59.079778 : Epoch 10, Batch   3246, Loss  0.860304, Average Loss  0.870147, Time  0.360793
2021-09-10 14:10:00.884774 : Epoch 10, Batch   3247, Loss  0.861653, Average Loss  0.870241, Time  0.387002
2021-09-10 14:10:02.759240 : Epoch 10, Batch   3248, Loss  0.869762, Average Loss  0.870343, Time  0.463566
2021-09-10 14:10:04.546943 : Epoch 10, Batch   3249, Loss  0.882921, Average Loss  0.870534, Time  0.366476
2021-09-10 14:10:06.311780 : Epoch 10, Batch   3250, Loss  0.873650, Average Loss  0.870535, Time  0.363278
2021-09-10 14:10:08.110838 : Epoch 10, Batch   3251, Loss  0.871122, Average Loss  0.870495, Time  0.396233
2021-09-10 14:10:09.972781 : Epoch 10, Batch   3252, Loss  0.879143, Average Loss  0.870597, Time  0.456202
2021-09-10 14:10:11.734768 : Epoch 10, Batch   3253, Loss  0.879179, Average Loss  0.870578, Time  0.360615
2021-09-10 14:10:13.519105 : Epoch 10, Batch   3254, Loss  0.857183, Average Loss  0.870547, Time  0.361413
2021-09-10 14:10:15.376762 : Epoch 10, Batch   3255, Loss  0.860915, Average Loss  0.870617, Time  0.421463
2021-09-10 14:10:17.256099 : Epoch 10, Batch   3256, Loss  0.879377, Average Loss  0.870808, Time  0.458209
2021-09-10 14:10:19.047776 : Epoch 10, Batch   3257, Loss  0.850147, Average Loss  0.870808, Time  0.366663
2021-09-10 14:10:20.831089 : Epoch 10, Batch   3258, Loss  0.826364, Average Loss  0.870523, Time  0.362977
2021-09-10 14:10:22.683929 : Epoch 10, Batch   3259, Loss  0.879514, Average Loss  0.870678, Time  0.392094
2021-09-10 14:10:24.541819 : Epoch 10, Batch   3260, Loss  0.835231, Average Loss  0.870439, Time  0.451659
2021-09-10 14:10:26.307153 : Epoch 10, Batch   3261, Loss  0.881945, Average Loss  0.870466, Time  0.367619
2021-09-10 14:10:28.083061 : Epoch 10, Batch   3262, Loss  0.876146, Average Loss  0.870564, Time  0.355930
2021-09-10 14:10:29.921769 : Epoch 10, Batch   3263, Loss  0.895508, Average Loss  0.870582, Time  0.407410
2021-09-10 14:10:31.820766 : Epoch 10, Batch   3264, Loss  0.885362, Average Loss  0.870439, Time  0.450850
2021-09-10 14:10:33.605844 : Epoch 10, Batch   3265, Loss  0.853195, Average Loss  0.870363, Time  0.330987
2021-09-10 14:10:35.403157 : Epoch 10, Batch   3266, Loss  0.849668, Average Loss  0.870381, Time  0.356183
2021-09-10 14:10:37.246769 : Epoch 10, Batch   3267, Loss  0.854110, Average Loss  0.870383, Time  0.351781
2021-09-10 14:10:39.152076 : Epoch 10, Batch   3268, Loss  0.867393, Average Loss  0.870304, Time  0.455361
2021-09-10 14:10:41.042780 : Epoch 10, Batch   3269, Loss  0.867460, Average Loss  0.870298, Time  0.437291
2021-09-10 14:10:42.849058 : Epoch 10, Batch   3270, Loss  0.841116, Average Loss  0.870221, Time  0.359085
2021-09-10 14:10:44.650919 : Epoch 10, Batch   3271, Loss  0.861686, Average Loss  0.870104, Time  0.356502
2021-09-10 14:10:46.503775 : Epoch 10, Batch   3272, Loss  0.834700, Average Loss  0.870023, Time  0.404712
2021-09-10 14:10:48.417029 : Epoch 10, Batch   3273, Loss  0.870858, Average Loss  0.870013, Time  0.453753
2021-09-10 14:10:50.209075 : Epoch 10, Batch   3274, Loss  0.848103, Average Loss  0.869978, Time  0.357288
2021-09-10 14:10:51.986958 : Epoch 10, Batch   3275, Loss  0.872415, Average Loss  0.870025, Time  0.359450
2021-09-10 14:10:53.798066 : Epoch 10, Batch   3276, Loss  0.864580, Average Loss  0.869939, Time  0.370121
2021-09-10 14:10:55.703781 : Epoch 10, Batch   3277, Loss  0.898444, Average Loss  0.870153, Time  0.451093
2021-09-10 14:10:57.572061 : Epoch 10, Batch   3278, Loss  0.864464, Average Loss  0.870028, Time  0.408245
2021-09-10 14:10:59.364088 : Epoch 10, Batch   3279, Loss  0.866204, Average Loss  0.869973, Time  0.355775
2021-09-10 14:11:01.162794 : Epoch 10, Batch   3280, Loss  0.890013, Average Loss  0.870078, Time  0.355413
2021-09-10 14:11:03.021775 : Epoch 10, Batch   3281, Loss  0.881263, Average Loss  0.870072, Time  0.424548
2021-09-10 14:11:04.944109 : Epoch 10, Batch   3282, Loss  0.884499, Average Loss  0.870273, Time  0.478717
2021-09-10 14:11:06.752814 : Epoch 10, Batch   3283, Loss  0.897722, Average Loss  0.870444, Time  0.381380
2021-09-10 14:11:08.570345 : Epoch 10, Batch   3284, Loss  0.887401, Average Loss  0.870485, Time  0.357368
2021-09-10 14:11:10.340763 : Epoch 10, Batch   3285, Loss  0.879085, Average Loss  0.870480, Time  0.357508
2021-09-10 14:11:12.213074 : Epoch 10, Batch   3286, Loss  0.886868, Average Loss  0.870399, Time  0.452445
2021-09-10 14:11:14.095796 : Epoch 10, Batch   3287, Loss  0.860594, Average Loss  0.870343, Time  0.446512
2021-09-10 14:11:15.888182 : Epoch 10, Batch   3288, Loss  0.835306, Average Loss  0.870132, Time  0.364709
2021-09-10 14:11:17.678779 : Epoch 10, Batch   3289, Loss  0.879201, Average Loss  0.870157, Time  0.365085
2021-09-10 14:11:19.514122 : Epoch 10, Batch   3290, Loss  0.875126, Average Loss  0.870192, Time  0.396176
2021-09-10 14:11:21.396778 : Epoch 10, Batch   3291, Loss  0.891693, Average Loss  0.870300, Time  0.450839
2021-09-10 14:11:23.175156 : Epoch 10, Batch   3292, Loss  0.878598, Average Loss  0.870278, Time  0.357401
2021-09-10 14:11:24.954868 : Epoch 10, Batch   3293, Loss  0.851316, Average Loss  0.870004, Time  0.361581
2021-09-10 14:11:26.758908 : Epoch 10, Batch   3294, Loss  0.890654, Average Loss  0.870104, Time  0.376366
2021-09-10 14:11:28.650906 : Epoch 10, Batch   3295, Loss  0.855030, Average Loss  0.870225, Time  0.476299
2021-09-10 14:11:30.427772 : Epoch 10, Batch   3296, Loss  0.835037, Average Loss  0.870023, Time  0.362678
2021-09-10 14:11:32.185270 : Epoch 10, Batch   3297, Loss  0.816934, Average Loss  0.869624, Time  0.357882
2021-09-10 14:11:33.967770 : Epoch 10, Batch   3298, Loss  0.864836, Average Loss  0.869572, Time  0.368865
2021-09-10 14:11:35.852902 : Epoch 10, Batch   3299, Loss  0.858997, Average Loss  0.869492, Time  0.470457
2021-09-10 14:11:37.639071 : Epoch 10, Batch   3300, Loss  0.865309, Average Loss  0.869369, Time  0.365012
2021-09-10 14:11:39.411830 : Epoch 10, Batch   3301, Loss  0.865662, Average Loss  0.869299, Time  0.367628
2021-09-10 14:16:29.496724 : CheckPoint: Validation Loss  0.00060651, Best Loss  0.00056427
2021-09-10 14:16:31.273992 : Epoch 10, Batch   3302, Loss  0.882378, Average Loss  0.869332, Time  0.357833
2021-09-10 14:16:33.048014 : Epoch 10, Batch   3303, Loss  0.872468, Average Loss  0.869324, Time  0.363827
2021-09-10 14:16:34.904775 : Epoch 10, Batch   3304, Loss  0.821666, Average Loss  0.869018, Time  0.458306
2021-09-10 14:16:36.783765 : Epoch 10, Batch   3305, Loss  0.884699, Average Loss  0.869235, Time  0.447720
2021-09-10 14:16:38.618855 : Epoch 10, Batch   3306, Loss  0.879352, Average Loss  0.869290, Time  0.360450
2021-09-10 14:16:40.398776 : Epoch 10, Batch   3307, Loss  0.894116, Average Loss  0.869418, Time  0.358833
2021-09-10 14:16:42.225101 : Epoch 10, Batch   3308, Loss  0.857318, Average Loss  0.869247, Time  0.396807
2021-09-10 14:16:44.141775 : Epoch 10, Batch   3309, Loss  0.847859, Average Loss  0.869143, Time  0.466892
2021-09-10 14:16:45.950827 : Epoch 10, Batch   3310, Loss  0.860454, Average Loss  0.869055, Time  0.376385
2021-09-10 14:16:47.722767 : Epoch 10, Batch   3311, Loss  0.850039, Average Loss  0.868987, Time  0.355577
2021-09-10 14:16:49.530062 : Epoch 10, Batch   3312, Loss  0.883425, Average Loss  0.869137, Time  0.358590
2021-09-10 14:16:51.415766 : Epoch 10, Batch   3313, Loss  0.870010, Average Loss  0.869246, Time  0.453137
2021-09-10 14:16:53.303796 : Epoch 10, Batch   3314, Loss  0.848226, Average Loss  0.869139, Time  0.426479
2021-09-10 14:16:55.098766 : Epoch 10, Batch   3315, Loss  0.876557, Average Loss  0.869190, Time  0.357029
2021-09-10 14:16:56.898155 : Epoch 10, Batch   3316, Loss  0.866844, Average Loss  0.869066, Time  0.358592
2021-09-10 14:16:58.744109 : Epoch 10, Batch   3317, Loss  0.869734, Average Loss  0.869010, Time  0.448950
2021-09-10 14:17:00.592529 : Epoch 10, Batch   3318, Loss  0.867684, Average Loss  0.868940, Time  0.440530
2021-09-10 14:17:02.362922 : Epoch 10, Batch   3319, Loss  0.866501, Average Loss  0.869076, Time  0.357872
2021-09-10 14:17:04.152778 : Epoch 10, Batch   3320, Loss  0.872121, Average Loss  0.869198, Time  0.368233
2021-09-10 14:17:06.012579 : Epoch 10, Batch   3321, Loss  0.859814, Average Loss  0.869098, Time  0.441094
2021-09-10 14:17:07.866771 : Epoch 10, Batch   3322, Loss  0.851201, Average Loss  0.868992, Time  0.458842
2021-09-10 14:17:09.634771 : Epoch 10, Batch   3323, Loss  0.840057, Average Loss  0.869000, Time  0.360090
2021-09-10 14:17:11.415114 : Epoch 10, Batch   3324, Loss  0.828505, Average Loss  0.868619, Time  0.372894
2021-09-10 14:17:13.235148 : Epoch 10, Batch   3325, Loss  0.845362, Average Loss  0.868602, Time  0.409593
2021-09-10 14:17:15.091765 : Epoch 10, Batch   3326, Loss  0.873765, Average Loss  0.868621, Time  0.453753
2021-09-10 14:17:16.891113 : Epoch 10, Batch   3327, Loss  0.847763, Average Loss  0.868454, Time  0.371311
2021-09-10 14:17:18.678078 : Epoch 10, Batch   3328, Loss  0.856686, Average Loss  0.868344, Time  0.368611
2021-09-10 14:17:20.505773 : Epoch 10, Batch   3329, Loss  0.888684, Average Loss  0.868422, Time  0.429889
2021-09-10 14:17:22.397780 : Epoch 10, Batch   3330, Loss  0.870376, Average Loss  0.868413, Time  0.466332
2021-09-10 14:17:24.181773 : Epoch 10, Batch   3331, Loss  0.869672, Average Loss  0.868444, Time  0.359410
2021-09-10 14:17:25.960414 : Epoch 10, Batch   3332, Loss  0.890391, Average Loss  0.868471, Time  0.363198
2021-09-10 14:17:27.828765 : Epoch 10, Batch   3333, Loss  0.883537, Average Loss  0.868522, Time  0.454874
2021-09-10 14:17:29.610099 : Epoch 10, Batch   3334, Loss  0.877177, Average Loss  0.868568, Time  0.358426
2021-09-10 14:17:31.366767 : Epoch 10, Batch   3335, Loss  0.877381, Average Loss  0.868532, Time  0.358334
2021-09-10 14:17:33.134816 : Epoch 10, Batch   3336, Loss  0.865452, Average Loss  0.868525, Time  0.364202
2021-09-10 14:17:34.904779 : Epoch 10, Batch   3337, Loss  0.857946, Average Loss  0.868515, Time  0.358859
2021-09-10 14:17:36.669229 : Epoch 10, Batch   3338, Loss  0.883676, Average Loss  0.868676, Time  0.356120
2021-09-10 14:17:38.453106 : Epoch 10, Batch   3339, Loss  0.856999, Average Loss  0.868610, Time  0.357087
2021-09-10 14:17:40.303260 : Epoch 10, Batch   3340, Loss  0.889759, Average Loss  0.868807, Time  0.441088
2021-09-10 14:17:42.073772 : Epoch 10, Batch   3341, Loss  0.855096, Average Loss  0.868738, Time  0.362352
2021-09-10 14:17:43.917937 : Epoch 10, Batch   3342, Loss  0.880569, Average Loss  0.868829, Time  0.419638
2021-09-10 14:17:45.705797 : Epoch 10, Batch   3343, Loss  0.867895, Average Loss  0.868829, Time  0.358320
2021-09-10 14:17:47.494773 : Epoch 10, Batch   3344, Loss  0.879182, Average Loss  0.868951, Time  0.364930
2021-09-10 14:17:49.255102 : Epoch 10, Batch   3345, Loss  0.854777, Average Loss  0.868938, Time  0.365804
2021-09-10 14:17:51.026235 : Epoch 10, Batch   3346, Loss  0.878954, Average Loss  0.869139, Time  0.361641
2021-09-10 14:17:52.867765 : Epoch 10, Batch   3347, Loss  0.869824, Average Loss  0.869252, Time  0.422652
2021-09-10 14:17:54.632816 : Epoch 10, Batch   3348, Loss  0.872494, Average Loss  0.869345, Time  0.365869
2021-09-10 14:17:56.499779 : Epoch 10, Batch   3349, Loss  0.871595, Average Loss  0.869381, Time  0.443868
2021-09-10 14:17:58.280771 : Epoch 10, Batch   3350, Loss  0.872637, Average Loss  0.869465, Time  0.361090
2021-09-10 14:18:00.053774 : Epoch 10, Batch   3351, Loss  0.890203, Average Loss  0.869587, Time  0.357054
2021-09-10 14:18:01.857934 : Epoch 10, Batch   3352, Loss  0.878420, Average Loss  0.869785, Time  0.360570
2021-09-10 14:18:03.652798 : Epoch 10, Batch   3353, Loss  0.884737, Average Loss  0.869943, Time  0.358232
2021-09-10 14:18:05.520879 : Epoch 10, Batch   3354, Loss  0.884698, Average Loss  0.869995, Time  0.444065
2021-09-10 14:18:07.324109 : Epoch 10, Batch   3355, Loss  0.882264, Average Loss  0.869919, Time  0.376831
2021-09-10 14:18:09.132768 : Epoch 10, Batch   3356, Loss  0.862996, Average Loss  0.869927, Time  0.399935
2021-09-10 14:18:10.888541 : Epoch 10, Batch   3357, Loss  0.870735, Average Loss  0.869815, Time  0.365536
2021-09-10 14:18:12.654100 : Epoch 10, Batch   3358, Loss  0.862745, Average Loss  0.869592, Time  0.357810
2021-09-10 14:18:14.420222 : Epoch 10, Batch   3359, Loss  0.864452, Average Loss  0.869617, Time  0.362377
2021-09-10 14:18:16.185961 : Epoch 10, Batch   3360, Loss  0.872524, Average Loss  0.869643, Time  0.359146
2021-09-10 14:18:18.048829 : Epoch 10, Batch   3361, Loss  0.867785, Average Loss  0.869588, Time  0.448289
2021-09-10 14:18:19.823916 : Epoch 10, Batch   3362, Loss  0.865571, Average Loss  0.869469, Time  0.356375
2021-09-10 14:18:21.629156 : Epoch 10, Batch   3363, Loss  0.854026, Average Loss  0.869467, Time  0.410119
2021-09-10 14:18:23.426132 : Epoch 10, Batch   3364, Loss  0.872644, Average Loss  0.869617, Time  0.375721
2021-09-10 14:18:25.188781 : Epoch 10, Batch   3365, Loss  0.862102, Average Loss  0.869623, Time  0.361270
2021-09-10 14:18:26.946338 : Epoch 10, Batch   3366, Loss  0.885039, Average Loss  0.869716, Time  0.360309
2021-09-10 14:18:28.712824 : Epoch 10, Batch   3367, Loss  0.892133, Average Loss  0.869771, Time  0.362881
2021-09-10 14:18:30.610889 : Epoch 10, Batch   3368, Loss  0.845359, Average Loss  0.869512, Time  0.444441
2021-09-10 14:18:32.376781 : Epoch 10, Batch   3369, Loss  0.858717, Average Loss  0.869626, Time  0.362813
2021-09-10 14:18:34.223237 : Epoch 10, Batch   3370, Loss  0.867716, Average Loss  0.869656, Time  0.412057
2021-09-10 14:18:35.996934 : Epoch 10, Batch   3371, Loss  0.831986, Average Loss  0.869481, Time  0.357000
2021-09-10 14:18:37.763091 : Epoch 10, Batch   3372, Loss  0.869730, Average Loss  0.869405, Time  0.358801
2021-09-10 14:18:39.636826 : Epoch 10, Batch   3373, Loss  0.832665, Average Loss  0.869287, Time  0.464377
2021-09-10 14:18:41.451235 : Epoch 10, Batch   3374, Loss  0.914687, Average Loss  0.869442, Time  0.405311
2021-09-10 14:18:43.215231 : Epoch 10, Batch   3375, Loss  0.883606, Average Loss  0.869419, Time  0.362117
2021-09-10 14:18:44.979238 : Epoch 10, Batch   3376, Loss  0.862974, Average Loss  0.869242, Time  0.355797
2021-09-10 14:18:46.852233 : Epoch 10, Batch   3377, Loss  0.855127, Average Loss  0.869192, Time  0.471618
2021-09-10 14:18:48.694770 : Epoch 10, Batch   3378, Loss  0.888297, Average Loss  0.869382, Time  0.450912
2021-09-10 14:18:50.466815 : Epoch 10, Batch   3379, Loss  0.891571, Average Loss  0.869526, Time  0.358740
2021-09-10 14:18:52.234771 : Epoch 10, Batch   3380, Loss  0.878288, Average Loss  0.869637, Time  0.367838
2021-09-10 14:18:54.088808 : Epoch 10, Batch   3381, Loss  0.829768, Average Loss  0.869349, Time  0.446805
2021-09-10 14:18:55.960181 : Epoch 10, Batch   3382, Loss  0.861931, Average Loss  0.869353, Time  0.451637
2021-09-10 14:18:57.742773 : Epoch 10, Batch   3383, Loss  0.839287, Average Loss  0.869205, Time  0.374510
2021-09-10 14:18:59.546227 : Epoch 10, Batch   3384, Loss  0.870335, Average Loss  0.869246, Time  0.359799
2021-09-10 14:19:01.387866 : Epoch 10, Batch   3385, Loss  0.876258, Average Loss  0.869404, Time  0.413479
2021-09-10 14:19:03.293775 : Epoch 10, Batch   3386, Loss  0.877724, Average Loss  0.869475, Time  0.462743
2021-09-10 14:19:05.094218 : Epoch 10, Batch   3387, Loss  0.893899, Average Loss  0.869566, Time  0.349306
2021-09-10 14:19:06.892996 : Epoch 10, Batch   3388, Loss  0.861950, Average Loss  0.869506, Time  0.367606
2021-09-10 14:19:08.679791 : Epoch 10, Batch   3389, Loss  0.869214, Average Loss  0.869490, Time  0.371808
2021-09-10 14:19:10.549228 : Epoch 10, Batch   3390, Loss  0.867239, Average Loss  0.869399, Time  0.455370
2021-09-10 14:19:12.300826 : Epoch 10, Batch   3391, Loss  0.871182, Average Loss  0.869389, Time  0.357039
2021-09-10 14:19:14.050764 : Epoch 10, Batch   3392, Loss  0.827423, Average Loss  0.869188, Time  0.356239
2021-09-10 14:19:15.880842 : Epoch 10, Batch   3393, Loss  0.856537, Average Loss  0.869010, Time  0.422643
2021-09-10 14:19:17.748160 : Epoch 10, Batch   3394, Loss  0.862605, Average Loss  0.868883, Time  0.452004
2021-09-10 14:19:19.502256 : Epoch 10, Batch   3395, Loss  0.872960, Average Loss  0.868868, Time  0.364695
2021-09-10 14:19:21.270885 : Epoch 10, Batch   3396, Loss  0.896423, Average Loss  0.869081, Time  0.363572
2021-09-10 14:19:23.082019 : Epoch 10, Batch   3397, Loss  0.886942, Average Loss  0.868961, Time  0.410844
2021-09-10 14:19:24.947933 : Epoch 10, Batch   3398, Loss  0.871239, Average Loss  0.869069, Time  0.452029
2021-09-10 14:19:26.717665 : Epoch 10, Batch   3399, Loss  0.892779, Average Loss  0.869087, Time  0.358829
2021-09-10 14:19:28.512846 : Epoch 10, Batch   3400, Loss  0.869253, Average Loss  0.869052, Time  0.375603
2021-09-10 14:19:30.330773 : Epoch 10, Batch   3401, Loss  0.904084, Average Loss  0.869308, Time  0.384509
2021-09-10 14:24:21.380711 : CheckPoint: Validation Loss  0.00059595, Best Loss  0.00056427
2021-09-10 14:24:23.157764 : Epoch 10, Batch   3402, Loss  0.921148, Average Loss  0.869507, Time  0.356217
2021-09-10 14:24:24.941777 : Epoch 10, Batch   3403, Loss  0.877343, Average Loss  0.869713, Time  0.369827
2021-09-10 14:24:26.818782 : Epoch 10, Batch   3404, Loss  0.883036, Average Loss  0.869768, Time  0.466188
2021-09-10 14:24:28.669489 : Epoch 10, Batch   3405, Loss  0.871064, Average Loss  0.869951, Time  0.439947
2021-09-10 14:24:30.437098 : Epoch 10, Batch   3406, Loss  0.899786, Average Loss  0.870145, Time  0.375207
2021-09-10 14:24:32.197771 : Epoch 10, Batch   3407, Loss  0.887968, Average Loss  0.870225, Time  0.357584
2021-09-10 14:24:34.052218 : Epoch 10, Batch   3408, Loss  0.873925, Average Loss  0.870415, Time  0.445864
2021-09-10 14:24:35.953763 : Epoch 10, Batch   3409, Loss  0.849502, Average Loss  0.870309, Time  0.465293
2021-09-10 14:24:37.737058 : Epoch 10, Batch   3410, Loss  0.862105, Average Loss  0.870237, Time  0.341833
2021-09-10 14:24:39.522776 : Epoch 10, Batch   3411, Loss  0.902485, Average Loss  0.870492, Time  0.369675
2021-09-10 14:24:41.303915 : Epoch 10, Batch   3412, Loss  0.870235, Average Loss  0.870407, Time  0.356217
2021-09-10 14:24:43.152767 : Epoch 10, Batch   3413, Loss  0.892951, Average Loss  0.870396, Time  0.448414
2021-09-10 14:24:44.905091 : Epoch 10, Batch   3414, Loss  0.834435, Average Loss  0.870108, Time  0.356952
2021-09-10 14:24:46.673776 : Epoch 10, Batch   3415, Loss  0.874196, Average Loss  0.870084, Time  0.357288
2021-09-10 14:24:48.480923 : Epoch 10, Batch   3416, Loss  0.862022, Average Loss  0.869950, Time  0.395005
2021-09-10 14:24:50.358772 : Epoch 10, Batch   3417, Loss  0.882697, Average Loss  0.869885, Time  0.459775
2021-09-10 14:24:52.141373 : Epoch 10, Batch   3418, Loss  0.859466, Average Loss  0.869842, Time  0.361888
2021-09-10 14:24:53.914774 : Epoch 10, Batch   3419, Loss  0.865848, Average Loss  0.869707, Time  0.364250
2021-09-10 14:24:55.680869 : Epoch 10, Batch   3420, Loss  0.856121, Average Loss  0.869576, Time  0.377930
2021-09-10 14:24:57.531570 : Epoch 10, Batch   3421, Loss  0.892103, Average Loss  0.869646, Time  0.457255
2021-09-10 14:24:59.305224 : Epoch 10, Batch   3422, Loss  0.825786, Average Loss  0.869367, Time  0.365394
2021-09-10 14:25:01.094774 : Epoch 10, Batch   3423, Loss  0.869137, Average Loss  0.869318, Time  0.363415
2021-09-10 14:25:02.915231 : Epoch 10, Batch   3424, Loss  0.878304, Average Loss  0.869490, Time  0.405184
2021-09-10 14:25:04.800017 : Epoch 10, Batch   3425, Loss  0.837479, Average Loss  0.869269, Time  0.451755
2021-09-10 14:25:06.597106 : Epoch 10, Batch   3426, Loss  0.861652, Average Loss  0.869342, Time  0.369967
2021-09-10 14:25:08.372276 : Epoch 10, Batch   3427, Loss  0.855473, Average Loss  0.869239, Time  0.367088
2021-09-10 14:25:10.162960 : Epoch 10, Batch   3428, Loss  0.845836, Average Loss  0.869148, Time  0.377057
2021-09-10 14:25:12.022234 : Epoch 10, Batch   3429, Loss  0.849946, Average Loss  0.868970, Time  0.452861
2021-09-10 14:25:13.799770 : Epoch 10, Batch   3430, Loss  0.852196, Average Loss  0.868915, Time  0.362545
2021-09-10 14:25:15.572103 : Epoch 10, Batch   3431, Loss  0.840425, Average Loss  0.868737, Time  0.356959
2021-09-10 14:25:17.393774 : Epoch 10, Batch   3432, Loss  0.880703, Average Loss  0.868657, Time  0.378560
2021-09-10 14:25:19.262778 : Epoch 10, Batch   3433, Loss  0.856633, Average Loss  0.868571, Time  0.468239
2021-09-10 14:25:21.074865 : Epoch 10, Batch   3434, Loss  0.863853, Average Loss  0.868499, Time  0.373268
2021-09-10 14:25:22.859770 : Epoch 10, Batch   3435, Loss  0.893929, Average Loss  0.868553, Time  0.365405
2021-09-10 14:25:24.648094 : Epoch 10, Batch   3436, Loss  0.889175, Average Loss  0.868619, Time  0.357883
2021-09-10 14:25:26.523776 : Epoch 10, Batch   3437, Loss  0.851962, Average Loss  0.868541, Time  0.458365
2021-09-10 14:25:28.376575 : Epoch 10, Batch   3438, Loss  0.861370, Average Loss  0.868569, Time  0.446041
2021-09-10 14:25:30.134791 : Epoch 10, Batch   3439, Loss  0.859696, Average Loss  0.868523, Time  0.362997
2021-09-10 14:25:31.920403 : Epoch 10, Batch   3440, Loss  0.889647, Average Loss  0.868614, Time  0.371675
2021-09-10 14:25:33.741800 : Epoch 10, Batch   3441, Loss  0.855690, Average Loss  0.868535, Time  0.425204
2021-09-10 14:25:35.611857 : Epoch 10, Batch   3442, Loss  0.867577, Average Loss  0.868424, Time  0.461493
2021-09-10 14:25:37.394778 : Epoch 10, Batch   3443, Loss  0.851777, Average Loss  0.868287, Time  0.369213
2021-09-10 14:25:39.181231 : Epoch 10, Batch   3444, Loss  0.876952, Average Loss  0.868183, Time  0.358704
2021-09-10 14:25:40.987912 : Epoch 10, Batch   3445, Loss  0.863115, Average Loss  0.868146, Time  0.384976
2021-09-10 14:25:42.870109 : Epoch 10, Batch   3446, Loss  0.860101, Average Loss  0.868145, Time  0.457920
2021-09-10 14:25:44.631144 : Epoch 10, Batch   3447, Loss  0.891322, Average Loss  0.868293, Time  0.364706
2021-09-10 14:25:46.423799 : Epoch 10, Batch   3448, Loss  0.907739, Average Loss  0.868483, Time  0.377776
2021-09-10 14:25:48.203982 : Epoch 10, Batch   3449, Loss  0.880283, Average Loss  0.868470, Time  0.376775
2021-09-10 14:25:50.099164 : Epoch 10, Batch   3450, Loss  0.871554, Average Loss  0.868460, Time  0.469890
2021-09-10 14:25:51.865581 : Epoch 10, Batch   3451, Loss  0.876629, Average Loss  0.868487, Time  0.351228
2021-09-10 14:25:53.618921 : Epoch 10, Batch   3452, Loss  0.837059, Average Loss  0.868277, Time  0.359531
2021-09-10 14:25:55.405108 : Epoch 10, Batch   3453, Loss  0.848641, Average Loss  0.868124, Time  0.372467
2021-09-10 14:25:57.306106 : Epoch 10, Batch   3454, Loss  0.851269, Average Loss  0.868095, Time  0.470589
2021-09-10 14:25:59.213859 : Epoch 10, Batch   3455, Loss  0.878863, Average Loss  0.868184, Time  0.434951
2021-09-10 14:26:00.988233 : Epoch 10, Batch   3456, Loss  0.872928, Average Loss  0.868152, Time  0.363678
2021-09-10 14:26:02.770823 : Epoch 10, Batch   3457, Loss  0.858208, Average Loss  0.868192, Time  0.358692
2021-09-10 14:26:04.619940 : Epoch 10, Batch   3458, Loss  0.907791, Average Loss  0.868599, Time  0.427107
2021-09-10 14:26:06.490112 : Epoch 10, Batch   3459, Loss  0.885323, Average Loss  0.868628, Time  0.451680
2021-09-10 14:26:08.263871 : Epoch 10, Batch   3460, Loss  0.868531, Average Loss  0.868795, Time  0.360224
2021-09-10 14:26:10.062221 : Epoch 10, Batch   3461, Loss  0.847034, Average Loss  0.868620, Time  0.359282
2021-09-10 14:26:11.870777 : Epoch 10, Batch   3462, Loss  0.846797, Average Loss  0.868474, Time  0.379572
2021-09-10 14:26:13.740763 : Epoch 10, Batch   3463, Loss  0.856775, Average Loss  0.868280, Time  0.458165
2021-09-10 14:26:15.544915 : Epoch 10, Batch   3464, Loss  0.874091, Average Loss  0.868224, Time  0.375971
2021-09-10 14:26:17.320680 : Epoch 10, Batch   3465, Loss  0.858012, Average Loss  0.868248, Time  0.365428
2021-09-10 14:26:19.108226 : Epoch 10, Batch   3466, Loss  0.878992, Average Loss  0.868394, Time  0.373875
2021-09-10 14:26:20.993784 : Epoch 10, Batch   3467, Loss  0.853832, Average Loss  0.868393, Time  0.460849
2021-09-10 14:26:22.784862 : Epoch 10, Batch   3468, Loss  0.876630, Average Loss  0.868439, Time  0.365059
2021-09-10 14:26:24.589620 : Epoch 10, Batch   3469, Loss  0.878790, Average Loss  0.868496, Time  0.364634
2021-09-10 14:26:26.363106 : Epoch 10, Batch   3470, Loss  0.848529, Average Loss  0.868533, Time  0.368272
2021-09-10 14:26:28.257291 : Epoch 10, Batch   3471, Loss  0.857080, Average Loss  0.868510, Time  0.458799
2021-09-10 14:26:30.012114 : Epoch 10, Batch   3472, Loss  0.865563, Average Loss  0.868664, Time  0.357023
2021-09-10 14:26:31.791763 : Epoch 10, Batch   3473, Loss  0.848756, Average Loss  0.868554, Time  0.356732
2021-09-10 14:26:33.610145 : Epoch 10, Batch   3474, Loss  0.866160, Average Loss  0.868644, Time  0.381408
2021-09-10 14:26:35.495120 : Epoch 10, Batch   3475, Loss  0.915168, Average Loss  0.868858, Time  0.451319
2021-09-10 14:26:37.283772 : Epoch 10, Batch   3476, Loss  0.864300, Average Loss  0.868856, Time  0.358469
2021-09-10 14:26:39.066790 : Epoch 10, Batch   3477, Loss  0.851005, Average Loss  0.868619, Time  0.360645
2021-09-10 14:26:40.868016 : Epoch 10, Batch   3478, Loss  0.833063, Average Loss  0.868462, Time  0.369656
2021-09-10 14:26:42.731821 : Epoch 10, Batch   3479, Loss  0.887669, Average Loss  0.868569, Time  0.453117
2021-09-10 14:26:44.500116 : Epoch 10, Batch   3480, Loss  0.876752, Average Loss  0.868503, Time  0.359375
2021-09-10 14:26:46.291095 : Epoch 10, Batch   3481, Loss  0.868974, Average Loss  0.868442, Time  0.357562
2021-09-10 14:26:48.081778 : Epoch 10, Batch   3482, Loss  0.867548, Average Loss  0.868357, Time  0.383537
2021-09-10 14:26:49.955435 : Epoch 10, Batch   3483, Loss  0.871560, Average Loss  0.868226, Time  0.457520
2021-09-10 14:26:51.733103 : Epoch 10, Batch   3484, Loss  0.868070, Average Loss  0.868129, Time  0.362264
2021-09-10 14:26:53.494102 : Epoch 10, Batch   3485, Loss  0.875563, Average Loss  0.868112, Time  0.357601
2021-09-10 14:26:55.312779 : Epoch 10, Batch   3486, Loss  0.869999, Average Loss  0.868027, Time  0.405372
2021-09-10 14:26:57.211250 : Epoch 10, Batch   3487, Loss  0.900197, Average Loss  0.868226, Time  0.467272
2021-09-10 14:26:58.962778 : Epoch 10, Batch   3488, Loss  0.823094, Average Loss  0.868164, Time  0.349439
2021-09-10 14:27:00.757869 : Epoch 10, Batch   3489, Loss  0.895228, Average Loss  0.868245, Time  0.360850
2021-09-10 14:27:02.543783 : Epoch 10, Batch   3490, Loss  0.863443, Average Loss  0.868186, Time  0.370524
2021-09-10 14:27:04.405074 : Epoch 10, Batch   3491, Loss  0.868774, Average Loss  0.868072, Time  0.466821
2021-09-10 14:27:06.189761 : Epoch 10, Batch   3492, Loss  0.861685, Average Loss  0.867987, Time  0.357428
2021-09-10 14:27:07.989914 : Epoch 10, Batch   3493, Loss  0.849348, Average Loss  0.867977, Time  0.358403
2021-09-10 14:27:09.789123 : Epoch 10, Batch   3494, Loss  0.843101, Average Loss  0.867739, Time  0.371185
2021-09-10 14:27:11.651105 : Epoch 10, Batch   3495, Loss  0.878417, Average Loss  0.867856, Time  0.453155
2021-09-10 14:27:13.417859 : Epoch 10, Batch   3496, Loss  0.883533, Average Loss  0.868099, Time  0.358075
2021-09-10 14:27:15.204782 : Epoch 10, Batch   3497, Loss  0.895330, Average Loss  0.868491, Time  0.361132
2021-09-10 14:27:17.043022 : Epoch 10, Batch   3498, Loss  0.874911, Average Loss  0.868541, Time  0.373127
2021-09-10 14:27:18.925018 : Epoch 10, Batch   3499, Loss  0.856093, Average Loss  0.868527, Time  0.459668
2021-09-10 14:27:20.696854 : Epoch 10, Batch   3500, Loss  0.873942, Average Loss  0.868570, Time  0.362771
2021-09-10 14:27:22.460825 : Epoch 10, Batch   3501, Loss  0.888763, Average Loss  0.868685, Time  0.356344
2021-09-10 14:32:13.437734 : CheckPoint: Validation Loss  0.00058391, Best Loss  0.00056427
2021-09-10 14:32:15.250951 : Epoch 10, Batch   3502, Loss  0.894357, Average Loss  0.868745, Time  0.375566
2021-09-10 14:32:17.000764 : Epoch 10, Batch   3503, Loss  0.853981, Average Loss  0.868653, Time  0.356690
2021-09-10 14:32:18.821862 : Epoch 10, Batch   3504, Loss  0.875610, Average Loss  0.868923, Time  0.394432
2021-09-10 14:32:20.713095 : Epoch 10, Batch   3505, Loss  0.847799, Average Loss  0.868738, Time  0.470130
2021-09-10 14:32:22.500904 : Epoch 10, Batch   3506, Loss  0.848804, Average Loss  0.868585, Time  0.350986
2021-09-10 14:32:24.281604 : Epoch 10, Batch   3507, Loss  0.868017, Average Loss  0.868455, Time  0.359003
2021-09-10 14:32:26.054771 : Epoch 10, Batch   3508, Loss  0.864417, Average Loss  0.868490, Time  0.362969
2021-09-10 14:32:27.931850 : Epoch 10, Batch   3509, Loss  0.862008, Average Loss  0.868561, Time  0.460361
2021-09-10 14:32:29.708776 : Epoch 10, Batch   3510, Loss  0.888758, Average Loss  0.868703, Time  0.355597
2021-09-10 14:32:31.484224 : Epoch 10, Batch   3511, Loss  0.865698, Average Loss  0.868781, Time  0.365408
2021-09-10 14:32:33.287107 : Epoch 10, Batch   3512, Loss  0.861329, Average Loss  0.868670, Time  0.382480
2021-09-10 14:32:35.187835 : Epoch 10, Batch   3513, Loss  0.879848, Average Loss  0.868720, Time  0.470918
2021-09-10 14:32:36.942916 : Epoch 10, Batch   3514, Loss  0.867063, Average Loss  0.868814, Time  0.344972
2021-09-10 14:32:38.712107 : Epoch 10, Batch   3515, Loss  0.877501, Average Loss  0.868818, Time  0.362598
2021-09-10 14:32:40.485097 : Epoch 10, Batch   3516, Loss  0.865360, Average Loss  0.868811, Time  0.357201
2021-09-10 14:32:42.376106 : Epoch 10, Batch   3517, Loss  0.904896, Average Loss  0.868987, Time  0.463650
2021-09-10 14:32:44.257107 : Epoch 10, Batch   3518, Loss  0.845391, Average Loss  0.868875, Time  0.440654
2021-09-10 14:32:46.078883 : Epoch 10, Batch   3519, Loss  0.877982, Average Loss  0.868933, Time  0.361835
2021-09-10 14:32:47.867777 : Epoch 10, Batch   3520, Loss  0.856609, Average Loss  0.868855, Time  0.362293
2021-09-10 14:32:49.728108 : Epoch 10, Batch   3521, Loss  0.879881, Average Loss  0.868956, Time  0.413479
2021-09-10 14:32:51.622228 : Epoch 10, Batch   3522, Loss  0.852223, Average Loss  0.868961, Time  0.454002
2021-09-10 14:32:53.391782 : Epoch 10, Batch   3523, Loss  0.872242, Average Loss  0.869122, Time  0.350629
2021-09-10 14:32:55.175949 : Epoch 10, Batch   3524, Loss  0.881535, Average Loss  0.869387, Time  0.363326
2021-09-10 14:32:56.953782 : Epoch 10, Batch   3525, Loss  0.901890, Average Loss  0.869669, Time  0.366283
2021-09-10 14:32:58.824916 : Epoch 10, Batch   3526, Loss  0.877114, Average Loss  0.869686, Time  0.455002
2021-09-10 14:33:00.619144 : Epoch 10, Batch   3527, Loss  0.869061, Average Loss  0.869793, Time  0.355947
2021-09-10 14:33:02.395108 : Epoch 10, Batch   3528, Loss  0.882367, Average Loss  0.869921, Time  0.357366
2021-09-10 14:33:04.211776 : Epoch 10, Batch   3529, Loss  0.896969, Average Loss  0.869962, Time  0.373789
2021-09-10 14:33:06.093802 : Epoch 10, Batch   3530, Loss  0.872420, Average Loss  0.869973, Time  0.460502
2021-09-10 14:33:07.840765 : Epoch 10, Batch   3531, Loss  0.855079, Average Loss  0.869900, Time  0.336894
2021-09-10 14:33:09.623967 : Epoch 10, Batch   3532, Loss  0.838558, Average Loss  0.869641, Time  0.358243
2021-09-10 14:33:11.436776 : Epoch 10, Batch   3533, Loss  0.855114, Average Loss  0.869498, Time  0.358581
2021-09-10 14:33:13.306916 : Epoch 10, Batch   3534, Loss  0.839579, Average Loss  0.869310, Time  0.459502
2021-09-10 14:33:15.138860 : Epoch 10, Batch   3535, Loss  0.890512, Average Loss  0.869376, Time  0.358553
2021-09-10 14:33:16.921871 : Epoch 10, Batch   3536, Loss  0.851046, Average Loss  0.869304, Time  0.367390
2021-09-10 14:33:18.710787 : Epoch 10, Batch   3537, Loss  0.859537, Average Loss  0.869312, Time  0.367278
2021-09-10 14:33:20.578764 : Epoch 10, Batch   3538, Loss  0.888765, Average Loss  0.869337, Time  0.451348
2021-09-10 14:33:22.349833 : Epoch 10, Batch   3539, Loss  0.858978, Average Loss  0.869347, Time  0.356166
2021-09-10 14:33:24.121774 : Epoch 10, Batch   3540, Loss  0.882008, Average Loss  0.869309, Time  0.363489
2021-09-10 14:33:25.942102 : Epoch 10, Batch   3541, Loss  0.864140, Average Loss  0.869354, Time  0.384661
2021-09-10 14:33:27.817671 : Epoch 10, Batch   3542, Loss  0.861798, Average Loss  0.869260, Time  0.461102
2021-09-10 14:33:29.591915 : Epoch 10, Batch   3543, Loss  0.869703, Average Loss  0.869269, Time  0.356115
2021-09-10 14:33:31.367968 : Epoch 10, Batch   3544, Loss  0.857519, Average Loss  0.869161, Time  0.355792
2021-09-10 14:33:33.161771 : Epoch 10, Batch   3545, Loss  0.851383, Average Loss  0.869144, Time  0.394734
2021-09-10 14:33:35.026912 : Epoch 10, Batch   3546, Loss  0.869436, Average Loss  0.869096, Time  0.451675
2021-09-10 14:33:36.795891 : Epoch 10, Batch   3547, Loss  0.868906, Average Loss  0.869092, Time  0.356403
2021-09-10 14:33:38.557470 : Epoch 10, Batch   3548, Loss  0.897473, Average Loss  0.869216, Time  0.362108
2021-09-10 14:33:40.361767 : Epoch 10, Batch   3549, Loss  0.847585, Average Loss  0.869096, Time  0.396364
2021-09-10 14:33:42.247795 : Epoch 10, Batch   3550, Loss  0.867852, Average Loss  0.869072, Time  0.475799
2021-09-10 14:33:44.034927 : Epoch 10, Batch   3551, Loss  0.873316, Average Loss  0.868988, Time  0.348101
2021-09-10 14:33:45.815146 : Epoch 10, Batch   3552, Loss  0.831661, Average Loss  0.868754, Time  0.363486
2021-09-10 14:33:47.603786 : Epoch 10, Batch   3553, Loss  0.882450, Average Loss  0.868743, Time  0.377332
2021-09-10 14:33:49.493810 : Epoch 10, Batch   3554, Loss  0.880274, Average Loss  0.868721, Time  0.458274
2021-09-10 14:33:51.316114 : Epoch 10, Batch   3555, Loss  0.872037, Average Loss  0.868670, Time  0.368579
2021-09-10 14:33:53.155823 : Epoch 10, Batch   3556, Loss  0.854311, Average Loss  0.868626, Time  0.374106
2021-09-10 14:33:54.963015 : Epoch 10, Batch   3557, Loss  0.879864, Average Loss  0.868672, Time  0.365289
2021-09-10 14:33:56.864900 : Epoch 10, Batch   3558, Loss  0.840734, Average Loss  0.868562, Time  0.452065
2021-09-10 14:33:58.773811 : Epoch 10, Batch   3559, Loss  0.834285, Average Loss  0.868411, Time  0.469002
2021-09-10 14:34:00.556811 : Epoch 10, Batch   3560, Loss  0.867467, Average Loss  0.868386, Time  0.357927
2021-09-10 14:34:02.335935 : Epoch 10, Batch   3561, Loss  0.865103, Average Loss  0.868372, Time  0.361778
2021-09-10 14:34:04.117819 : Epoch 10, Batch   3562, Loss  0.832772, Average Loss  0.868208, Time  0.368301
2021-09-10 14:34:05.981869 : Epoch 10, Batch   3563, Loss  0.904521, Average Loss  0.868461, Time  0.465308
2021-09-10 14:34:07.758791 : Epoch 10, Batch   3564, Loss  0.903087, Average Loss  0.868613, Time  0.357998
2021-09-10 14:34:09.535102 : Epoch 10, Batch   3565, Loss  0.907201, Average Loss  0.868838, Time  0.362323
2021-09-10 14:34:11.346841 : Epoch 10, Batch   3566, Loss  0.853264, Average Loss  0.868679, Time  0.379675
2021-09-10 14:34:13.246908 : Epoch 10, Batch   3567, Loss  0.886880, Average Loss  0.868653, Time  0.459312
2021-09-10 14:34:15.019913 : Epoch 10, Batch   3568, Loss  0.876448, Average Loss  0.868809, Time  0.355202
2021-09-10 14:34:16.864773 : Epoch 10, Batch   3569, Loss  0.882996, Average Loss  0.868930, Time  0.357152
2021-09-10 14:34:18.675860 : Epoch 10, Batch   3570, Loss  0.876617, Average Loss  0.868975, Time  0.381484
2021-09-10 14:34:20.571777 : Epoch 10, Batch   3571, Loss  0.848362, Average Loss  0.869056, Time  0.455473
2021-09-10 14:34:22.421191 : Epoch 10, Batch   3572, Loss  0.877459, Average Loss  0.869095, Time  0.420517
2021-09-10 14:34:24.213764 : Epoch 10, Batch   3573, Loss  0.875808, Average Loss  0.869311, Time  0.357966
2021-09-10 14:34:26.013948 : Epoch 10, Batch   3574, Loss  0.872840, Average Loss  0.869102, Time  0.356066
2021-09-10 14:34:27.882776 : Epoch 10, Batch   3575, Loss  0.885872, Average Loss  0.869113, Time  0.418476
2021-09-10 14:34:29.760240 : Epoch 10, Batch   3576, Loss  0.861276, Average Loss  0.869104, Time  0.452364
2021-09-10 14:34:31.529770 : Epoch 10, Batch   3577, Loss  0.905484, Average Loss  0.869356, Time  0.356573
2021-09-10 14:34:33.318790 : Epoch 10, Batch   3578, Loss  0.840696, Average Loss  0.869118, Time  0.366160
2021-09-10 14:34:35.122112 : Epoch 10, Batch   3579, Loss  0.861979, Average Loss  0.868970, Time  0.382605
2021-09-10 14:34:36.978048 : Epoch 10, Batch   3580, Loss  0.888074, Average Loss  0.869019, Time  0.459080
2021-09-10 14:34:38.746763 : Epoch 10, Batch   3581, Loss  0.875866, Average Loss  0.869250, Time  0.359478
2021-09-10 14:34:40.512990 : Epoch 10, Batch   3582, Loss  0.890819, Average Loss  0.869394, Time  0.356365
2021-09-10 14:34:42.325774 : Epoch 10, Batch   3583, Loss  0.864782, Average Loss  0.869522, Time  0.397475
2021-09-10 14:34:44.213156 : Epoch 10, Batch   3584, Loss  0.872290, Average Loss  0.869531, Time  0.463875
2021-09-10 14:34:45.973764 : Epoch 10, Batch   3585, Loss  0.915643, Average Loss  0.869728, Time  0.362904
2021-09-10 14:34:47.754109 : Epoch 10, Batch   3586, Loss  0.822150, Average Loss  0.869450, Time  0.359437
2021-09-10 14:34:49.572786 : Epoch 10, Batch   3587, Loss  0.867066, Average Loss  0.869316, Time  0.384578
2021-09-10 14:34:51.434148 : Epoch 10, Batch   3588, Loss  0.863609, Average Loss  0.869324, Time  0.454093
2021-09-10 14:34:53.227895 : Epoch 10, Batch   3589, Loss  0.848050, Average Loss  0.869219, Time  0.356462
2021-09-10 14:34:55.015851 : Epoch 10, Batch   3590, Loss  0.877715, Average Loss  0.869271, Time  0.363811
2021-09-10 14:34:56.809073 : Epoch 10, Batch   3591, Loss  0.855358, Average Loss  0.869192, Time  0.378917
2021-09-10 14:34:58.689169 : Epoch 10, Batch   3592, Loss  0.846103, Average Loss  0.869285, Time  0.445495
2021-09-10 14:35:00.477814 : Epoch 10, Batch   3593, Loss  0.870587, Average Loss  0.869356, Time  0.352586
2021-09-10 14:35:02.250163 : Epoch 10, Batch   3594, Loss  0.868359, Average Loss  0.869384, Time  0.358302
2021-09-10 14:35:04.059971 : Epoch 10, Batch   3595, Loss  0.882386, Average Loss  0.869432, Time  0.359297
2021-09-10 14:35:05.960771 : Epoch 10, Batch   3596, Loss  0.888912, Average Loss  0.869394, Time  0.452764
2021-09-10 14:35:07.810081 : Epoch 10, Batch   3597, Loss  0.865945, Average Loss  0.869289, Time  0.405246
2021-09-10 14:35:09.608017 : Epoch 10, Batch   3598, Loss  0.866135, Average Loss  0.869263, Time  0.359272
2021-09-10 14:35:11.360765 : Epoch 10, Batch   3599, Loss  0.864307, Average Loss  0.869121, Time  0.357596
2021-09-10 14:35:13.216905 : Epoch 10, Batch   3600, Loss  0.892971, Average Loss  0.869240, Time  0.442297
2021-09-10 14:35:20.437806 : Epoch 10, Batch   3601, Loss  0.864968, Average Loss  0.869044, Time  0.368557
2021-09-10 14:40:10.842717 : CheckPoint: Validation Loss  0.00060412, Best Loss  0.00056427
2021-09-10 14:40:12.670784 : Epoch 10, Batch   3602, Loss  0.881107, Average Loss  0.868844, Time  0.356266
2021-09-10 14:40:14.507768 : Epoch 10, Batch   3603, Loss  0.872564, Average Loss  0.868820, Time  0.382526
2021-09-10 14:40:16.427063 : Epoch 10, Batch   3604, Loss  0.865415, Average Loss  0.868732, Time  0.452080
2021-09-10 14:40:18.227053 : Epoch 10, Batch   3605, Loss  0.886592, Average Loss  0.868810, Time  0.371568
2021-09-10 14:40:19.999764 : Epoch 10, Batch   3606, Loss  0.841611, Average Loss  0.868519, Time  0.356429
2021-09-10 14:40:21.771104 : Epoch 10, Batch   3607, Loss  0.877808, Average Loss  0.868468, Time  0.361689
2021-09-10 14:40:23.655775 : Epoch 10, Batch   3608, Loss  0.851514, Average Loss  0.868356, Time  0.466529
2021-09-10 14:40:25.569809 : Epoch 10, Batch   3609, Loss  0.865407, Average Loss  0.868435, Time  0.451742
2021-09-10 14:40:27.370086 : Epoch 10, Batch   3610, Loss  0.900385, Average Loss  0.868627, Time  0.358007
2021-09-10 14:40:29.172774 : Epoch 10, Batch   3611, Loss  0.887865, Average Loss  0.868554, Time  0.363322
2021-09-10 14:40:31.005775 : Epoch 10, Batch   3612, Loss  0.851353, Average Loss  0.868459, Time  0.396451
2021-09-10 14:40:32.889115 : Epoch 10, Batch   3613, Loss  0.881000, Average Loss  0.868399, Time  0.462087
2021-09-10 14:40:34.659771 : Epoch 10, Batch   3614, Loss  0.874787, Average Loss  0.868601, Time  0.363581
2021-09-10 14:40:36.417983 : Epoch 10, Batch   3615, Loss  0.886661, Average Loss  0.868664, Time  0.357977
2021-09-10 14:40:38.242776 : Epoch 10, Batch   3616, Loss  0.879369, Average Loss  0.868750, Time  0.399425
2021-09-10 14:40:40.163778 : Epoch 10, Batch   3617, Loss  0.892655, Average Loss  0.868800, Time  0.454206
2021-09-10 14:40:42.046262 : Epoch 10, Batch   3618, Loss  0.885850, Average Loss  0.868932, Time  0.426303
2021-09-10 14:40:43.843773 : Epoch 10, Batch   3619, Loss  0.878114, Average Loss  0.868993, Time  0.356322
2021-09-10 14:40:45.629849 : Epoch 10, Batch   3620, Loss  0.821224, Average Loss  0.868819, Time  0.356226
2021-09-10 14:40:47.478231 : Epoch 10, Batch   3621, Loss  0.819069, Average Loss  0.868454, Time  0.431982
2021-09-10 14:40:49.384774 : Epoch 10, Batch   3622, Loss  0.866414, Average Loss  0.868657, Time  0.457573
2021-09-10 14:40:51.159224 : Epoch 10, Batch   3623, Loss  0.868640, Average Loss  0.868654, Time  0.335463
2021-09-10 14:40:52.938425 : Epoch 10, Batch   3624, Loss  0.869996, Average Loss  0.868613, Time  0.358164
2021-09-10 14:40:54.696438 : Epoch 10, Batch   3625, Loss  0.866934, Average Loss  0.868760, Time  0.365730
2021-09-10 14:40:56.583808 : Epoch 10, Batch   3626, Loss  0.888883, Average Loss  0.868896, Time  0.460747
2021-09-10 14:40:58.361820 : Epoch 10, Batch   3627, Loss  0.859990, Average Loss  0.868919, Time  0.358429
2021-09-10 14:41:00.145764 : Epoch 10, Batch   3628, Loss  0.902266, Average Loss  0.869201, Time  0.359828
2021-09-10 14:41:01.937778 : Epoch 10, Batch   3629, Loss  0.865375, Average Loss  0.869278, Time  0.383379
2021-09-10 14:41:03.823478 : Epoch 10, Batch   3630, Loss  0.865158, Average Loss  0.869343, Time  0.458014
2021-09-10 14:41:05.604096 : Epoch 10, Batch   3631, Loss  0.872180, Average Loss  0.869502, Time  0.356430
2021-09-10 14:41:07.387855 : Epoch 10, Batch   3632, Loss  0.891037, Average Loss  0.869553, Time  0.356734
2021-09-10 14:41:09.173115 : Epoch 10, Batch   3633, Loss  0.888475, Average Loss  0.869713, Time  0.378659
2021-09-10 14:41:11.069199 : Epoch 10, Batch   3634, Loss  0.877188, Average Loss  0.869779, Time  0.457081
2021-09-10 14:41:12.824137 : Epoch 10, Batch   3635, Loss  0.854409, Average Loss  0.869582, Time  0.358873
2021-09-10 14:41:14.576998 : Epoch 10, Batch   3636, Loss  0.860823, Average Loss  0.869440, Time  0.360386
2021-09-10 14:41:16.390937 : Epoch 10, Batch   3637, Loss  0.910102, Average Loss  0.869731, Time  0.411560
2021-09-10 14:41:18.243082 : Epoch 10, Batch   3638, Loss  0.873414, Average Loss  0.869791, Time  0.460320
2021-09-10 14:41:20.019158 : Epoch 10, Batch   3639, Loss  0.854394, Average Loss  0.869764, Time  0.361613
2021-09-10 14:41:21.824034 : Epoch 10, Batch   3640, Loss  0.879305, Average Loss  0.869713, Time  0.357406
2021-09-10 14:41:23.664778 : Epoch 10, Batch   3641, Loss  0.874599, Average Loss  0.869807, Time  0.401522
2021-09-10 14:41:25.539132 : Epoch 10, Batch   3642, Loss  0.873533, Average Loss  0.869837, Time  0.453663
2021-09-10 14:41:27.284508 : Epoch 10, Batch   3643, Loss  0.900331, Average Loss  0.870080, Time  0.359961
2021-09-10 14:41:29.056832 : Epoch 10, Batch   3644, Loss  0.877482, Average Loss  0.870082, Time  0.355477
2021-09-10 14:41:30.874784 : Epoch 10, Batch   3645, Loss  0.867355, Average Loss  0.870104, Time  0.396805
2021-09-10 14:41:32.753881 : Epoch 10, Batch   3646, Loss  0.880518, Average Loss  0.870206, Time  0.454141
2021-09-10 14:41:34.547775 : Epoch 10, Batch   3647, Loss  0.874101, Average Loss  0.870119, Time  0.366816
2021-09-10 14:41:36.335907 : Epoch 10, Batch   3648, Loss  0.906139, Average Loss  0.870111, Time  0.356627
2021-09-10 14:41:38.181778 : Epoch 10, Batch   3649, Loss  0.863054, Average Loss  0.870025, Time  0.388654
2021-09-10 14:41:40.109885 : Epoch 10, Batch   3650, Loss  0.876805, Average Loss  0.870052, Time  0.468202
2021-09-10 14:41:41.882777 : Epoch 10, Batch   3651, Loss  0.856973, Average Loss  0.869953, Time  0.336990
2021-09-10 14:41:43.661048 : Epoch 10, Batch   3652, Loss  0.895237, Average Loss  0.870244, Time  0.356610
2021-09-10 14:41:45.470319 : Epoch 10, Batch   3653, Loss  0.871599, Average Loss  0.870359, Time  0.362511
2021-09-10 14:41:47.327267 : Epoch 10, Batch   3654, Loss  0.868151, Average Loss  0.870443, Time  0.465701
2021-09-10 14:41:49.093764 : Epoch 10, Batch   3655, Loss  0.866973, Average Loss  0.870384, Time  0.352531
2021-09-10 14:41:50.860126 : Epoch 10, Batch   3656, Loss  0.866385, Average Loss  0.870351, Time  0.363159
2021-09-10 14:41:52.660796 : Epoch 10, Batch   3657, Loss  0.876730, Average Loss  0.870444, Time  0.401397
2021-09-10 14:41:54.525188 : Epoch 10, Batch   3658, Loss  0.880792, Average Loss  0.870309, Time  0.458124
2021-09-10 14:41:56.270776 : Epoch 10, Batch   3659, Loss  0.877444, Average Loss  0.870269, Time  0.360351
2021-09-10 14:41:58.018778 : Epoch 10, Batch   3660, Loss  0.883321, Average Loss  0.870343, Time  0.354683
2021-09-10 14:41:59.881104 : Epoch 10, Batch   3661, Loss  0.858813, Average Loss  0.870402, Time  0.411537
2021-09-10 14:42:01.774779 : Epoch 10, Batch   3662, Loss  0.864165, Average Loss  0.870489, Time  0.455386
2021-09-10 14:42:03.564775 : Epoch 10, Batch   3663, Loss  0.878537, Average Loss  0.870598, Time  0.344045
2021-09-10 14:42:05.312790 : Epoch 10, Batch   3664, Loss  0.864678, Average Loss  0.870551, Time  0.356222
2021-09-10 14:42:07.100104 : Epoch 10, Batch   3665, Loss  0.868366, Average Loss  0.870603, Time  0.359250
2021-09-10 14:42:08.986780 : Epoch 10, Batch   3666, Loss  0.878623, Average Loss  0.870601, Time  0.458161
2021-09-10 14:42:10.796769 : Epoch 10, Batch   3667, Loss  0.887718, Average Loss  0.870770, Time  0.368088
2021-09-10 14:42:12.571435 : Epoch 10, Batch   3668, Loss  0.870331, Average Loss  0.870739, Time  0.362553
2021-09-10 14:42:14.373820 : Epoch 10, Batch   3669, Loss  0.860655, Average Loss  0.870648, Time  0.364938
2021-09-10 14:42:16.272776 : Epoch 10, Batch   3670, Loss  0.875126, Average Loss  0.870781, Time  0.472193
2021-09-10 14:42:18.151568 : Epoch 10, Batch   3671, Loss  0.833131, Average Loss  0.870661, Time  0.454813
2021-09-10 14:42:19.927954 : Epoch 10, Batch   3672, Loss  0.881283, Average Loss  0.870740, Time  0.361687
2021-09-10 14:42:21.715772 : Epoch 10, Batch   3673, Loss  0.837884, Average Loss  0.870686, Time  0.362133
2021-09-10 14:42:23.530779 : Epoch 10, Batch   3674, Loss  0.864635, Average Loss  0.870678, Time  0.401930
2021-09-10 14:42:25.423888 : Epoch 10, Batch   3675, Loss  0.824107, Average Loss  0.870223, Time  0.458620
2021-09-10 14:42:27.230141 : Epoch 10, Batch   3676, Loss  0.884423, Average Loss  0.870323, Time  0.365115
2021-09-10 14:42:29.004771 : Epoch 10, Batch   3677, Loss  0.844349, Average Loss  0.870290, Time  0.360243
2021-09-10 14:42:30.795877 : Epoch 10, Batch   3678, Loss  0.873363, Average Loss  0.870491, Time  0.377563
2021-09-10 14:42:32.656775 : Epoch 10, Batch   3679, Loss  0.840025, Average Loss  0.870253, Time  0.461099
2021-09-10 14:42:34.413762 : Epoch 10, Batch   3680, Loss  0.855680, Average Loss  0.870148, Time  0.356139
2021-09-10 14:42:36.205912 : Epoch 10, Batch   3681, Loss  0.885217, Average Loss  0.870229, Time  0.357628
2021-09-10 14:42:38.049775 : Epoch 10, Batch   3682, Loss  0.890215, Average Loss  0.870342, Time  0.385826
2021-09-10 14:42:39.921774 : Epoch 10, Batch   3683, Loss  0.886769, Average Loss  0.870418, Time  0.457288
2021-09-10 14:42:41.725102 : Epoch 10, Batch   3684, Loss  0.852057, Average Loss  0.870338, Time  0.364121
2021-09-10 14:42:43.544799 : Epoch 10, Batch   3685, Loss  0.899613, Average Loss  0.870459, Time  0.373449
2021-09-10 14:42:45.333765 : Epoch 10, Batch   3686, Loss  0.843958, Average Loss  0.870328, Time  0.361380
2021-09-10 14:42:47.202098 : Epoch 10, Batch   3687, Loss  0.841775, Average Loss  0.870036, Time  0.450900
2021-09-10 14:42:48.992766 : Epoch 10, Batch   3688, Loss  0.854163, Average Loss  0.870192, Time  0.350560
2021-09-10 14:42:50.760335 : Epoch 10, Batch   3689, Loss  0.875572, Average Loss  0.870093, Time  0.362633
2021-09-10 14:42:52.519777 : Epoch 10, Batch   3690, Loss  0.872927, Average Loss  0.870141, Time  0.371251
2021-09-10 14:42:54.396227 : Epoch 10, Batch   3691, Loss  0.865412, Average Loss  0.870124, Time  0.451074
2021-09-10 14:42:56.172780 : Epoch 10, Batch   3692, Loss  0.870411, Average Loss  0.870168, Time  0.359540
2021-09-10 14:42:57.946769 : Epoch 10, Batch   3693, Loss  0.866891, Average Loss  0.870255, Time  0.356178
2021-09-10 14:42:59.784112 : Epoch 10, Batch   3694, Loss  0.868195, Average Loss  0.870381, Time  0.385072
2021-09-10 14:43:01.700120 : Epoch 10, Batch   3695, Loss  0.893934, Average Loss  0.870458, Time  0.476538
2021-09-10 14:43:03.547248 : Epoch 10, Batch   3696, Loss  0.860122, Average Loss  0.870341, Time  0.405592
2021-09-10 14:43:05.318116 : Epoch 10, Batch   3697, Loss  0.900168, Average Loss  0.870366, Time  0.356728
2021-09-10 14:43:07.074166 : Epoch 10, Batch   3698, Loss  0.861981, Average Loss  0.870301, Time  0.357616
2021-09-10 14:43:08.931029 : Epoch 10, Batch   3699, Loss  0.878462, Average Loss  0.870413, Time  0.449916
2021-09-10 14:43:10.782763 : Epoch 10, Batch   3700, Loss  0.855421, Average Loss  0.870320, Time  0.450483
2021-09-10 14:43:12.566775 : Epoch 10, Batch   3701, Loss  0.868460, Average Loss  0.870219, Time  0.364705
2021-09-10 14:48:03.689729 : CheckPoint: Validation Loss  0.00059949, Best Loss  0.00056427
2021-09-10 14:48:05.561779 : Epoch 10, Batch   3702, Loss  0.842247, Average Loss  0.869958, Time  0.426770
2021-09-10 14:48:07.355774 : Epoch 10, Batch   3703, Loss  0.871348, Average Loss  0.870045, Time  0.357368
2021-09-10 14:48:09.154920 : Epoch 10, Batch   3704, Loss  0.862788, Average Loss  0.869981, Time  0.357982
2021-09-10 14:48:11.005778 : Epoch 10, Batch   3705, Loss  0.893979, Average Loss  0.870212, Time  0.416904
2021-09-10 14:48:12.923770 : Epoch 10, Batch   3706, Loss  0.854604, Average Loss  0.870241, Time  0.459966
2021-09-10 14:48:14.690236 : Epoch 10, Batch   3707, Loss  0.870631, Average Loss  0.870254, Time  0.351115
2021-09-10 14:48:16.490775 : Epoch 10, Batch   3708, Loss  0.912128, Average Loss  0.870492, Time  0.368914
2021-09-10 14:48:18.300104 : Epoch 10, Batch   3709, Loss  0.860978, Average Loss  0.870487, Time  0.357860
2021-09-10 14:48:20.186117 : Epoch 10, Batch   3710, Loss  0.879951, Average Loss  0.870443, Time  0.461023
2021-09-10 14:48:21.936123 : Epoch 10, Batch   3711, Loss  0.851819, Average Loss  0.870374, Time  0.335564
2021-09-10 14:48:22.005970 : Saving Model after 10-th Epoch.
2021-09-10 14:48:26.470675 : Epoch Finished.
2021-09-10 16:06:18.577681 : Building dataset train from orignial text documents
2021-09-10 16:09:30.017770 : Finish Loading dataset train
2021-09-10 16:09:34.917661 : Data Shuffle
2021-09-10 16:09:35.027707 : Start Shuffling
2021-09-10 16:09:36.365669 : Finish Shuffling
2021-09-10 16:09:36.465671 : Generate Batch
2021-09-10 16:09:36.802674 : Building dataset valid from orignial text documents
2021-09-10 16:09:46.067154 : Finish Loading dataset valid
2021-09-10 16:09:46.117060 : Data Shuffle
2021-09-10 16:09:46.194937 : Start Shuffling
2021-09-10 16:09:46.292626 : Finish Shuffling
2021-09-10 16:09:46.346631 : Generate Batch
2021-09-10 16:09:46.429698 : There are 3711 batches per epoch
2021-09-10 16:09:46.465559 : Batch Shuffled
2021-09-10 16:09:48.314695 : Epoch  1, Batch      1, Loss  1.801046, Average Loss  1.801046, Time  0.417861
2021-09-10 16:09:49.911755 : Epoch  1, Batch      2, Loss  1.806494, Average Loss  1.803770, Time  0.174655
2021-09-10 16:09:51.506985 : Epoch  1, Batch      3, Loss  1.805953, Average Loss  1.804497, Time  0.172866
2021-09-10 16:09:53.106048 : Epoch  1, Batch      4, Loss  1.790268, Average Loss  1.800940, Time  0.174044
2021-09-10 16:09:54.685828 : Epoch  1, Batch      5, Loss  1.795388, Average Loss  1.799830, Time  0.174160
2021-09-10 16:09:56.267120 : Epoch  1, Batch      6, Loss  1.798191, Average Loss  1.799556, Time  0.173531
2021-09-10 16:09:57.840040 : Epoch  1, Batch      7, Loss  1.784413, Average Loss  1.797393, Time  0.175422
2021-09-10 16:09:59.408063 : Epoch  1, Batch      8, Loss  1.779515, Average Loss  1.795158, Time  0.171530
2021-09-10 16:10:00.993056 : Epoch  1, Batch      9, Loss  1.776394, Average Loss  1.793073, Time  0.175432
2021-09-10 16:10:02.585978 : Epoch  1, Batch     10, Loss  1.772125, Average Loss  1.790979, Time  0.176559
2021-09-10 16:10:04.158869 : Epoch  1, Batch     11, Loss  1.763433, Average Loss  1.788474, Time  0.172851
2021-09-10 16:10:05.745099 : Epoch  1, Batch     12, Loss  1.746141, Average Loss  1.784947, Time  0.172374
2021-09-10 16:10:07.321792 : Epoch  1, Batch     13, Loss  1.754512, Average Loss  1.782606, Time  0.175026
2021-09-10 16:10:08.909618 : Epoch  1, Batch     14, Loss  1.722321, Average Loss  1.778300, Time  0.171514
2021-09-10 16:10:10.481788 : Epoch  1, Batch     15, Loss  1.729746, Average Loss  1.775063, Time  0.171897
2021-09-10 16:10:12.081180 : Epoch  1, Batch     16, Loss  1.722736, Average Loss  1.771792, Time  0.175447
2021-09-10 16:10:13.688826 : Epoch  1, Batch     17, Loss  1.705923, Average Loss  1.767918, Time  0.171367
2021-09-10 16:10:15.309066 : Epoch  1, Batch     18, Loss  1.704763, Average Loss  1.764409, Time  0.173306
2021-09-10 16:10:16.898376 : Epoch  1, Batch     19, Loss  1.704009, Average Loss  1.761230, Time  0.175046
2021-09-10 16:10:18.480052 : Epoch  1, Batch     20, Loss  1.682835, Average Loss  1.757310, Time  0.173024
2021-09-10 16:10:20.049928 : Epoch  1, Batch     21, Loss  1.690443, Average Loss  1.754126, Time  0.171800
2021-09-10 16:10:21.629832 : Epoch  1, Batch     22, Loss  1.696522, Average Loss  1.751508, Time  0.171820
2021-09-10 16:10:23.213069 : Epoch  1, Batch     23, Loss  1.694092, Average Loss  1.749011, Time  0.172271
2021-09-10 16:10:24.806695 : Epoch  1, Batch     24, Loss  1.672930, Average Loss  1.745841, Time  0.177233
2021-09-10 16:10:26.387343 : Epoch  1, Batch     25, Loss  1.674519, Average Loss  1.742988, Time  0.173855
2021-09-10 16:10:27.959469 : Epoch  1, Batch     26, Loss  1.663649, Average Loss  1.739937, Time  0.173351
2021-09-10 16:10:29.550106 : Epoch  1, Batch     27, Loss  1.674398, Average Loss  1.737510, Time  0.178346
2021-09-10 16:10:31.140144 : Epoch  1, Batch     28, Loss  1.693210, Average Loss  1.735927, Time  0.178482
2021-09-10 16:10:32.726107 : Epoch  1, Batch     29, Loss  1.660192, Average Loss  1.733316, Time  0.177579
2021-09-10 16:10:34.301067 : Epoch  1, Batch     30, Loss  1.663982, Average Loss  1.731005, Time  0.172303
2021-09-10 16:10:35.879891 : Epoch  1, Batch     31, Loss  1.658907, Average Loss  1.728679, Time  0.172221
2021-09-10 16:10:37.452923 : Epoch  1, Batch     32, Loss  1.660378, Average Loss  1.726545, Time  0.173656
2021-09-10 16:10:39.023799 : Epoch  1, Batch     33, Loss  1.672452, Average Loss  1.724905, Time  0.172333
2021-09-10 16:10:40.606080 : Epoch  1, Batch     34, Loss  1.658148, Average Loss  1.722942, Time  0.175378
2021-09-10 16:10:42.188065 : Epoch  1, Batch     35, Loss  1.673542, Average Loss  1.721531, Time  0.175265
2021-09-10 16:10:43.775787 : Epoch  1, Batch     36, Loss  1.674299, Average Loss  1.720219, Time  0.176629
2021-09-10 16:10:45.346950 : Epoch  1, Batch     37, Loss  1.646500, Average Loss  1.718226, Time  0.172630
2021-09-10 16:10:46.923843 : Epoch  1, Batch     38, Loss  1.658033, Average Loss  1.716642, Time  0.177778
2021-09-10 16:10:48.497068 : Epoch  1, Batch     39, Loss  1.657443, Average Loss  1.715124, Time  0.172841
2021-09-10 16:10:50.098767 : Epoch  1, Batch     40, Loss  1.646638, Average Loss  1.713412, Time  0.175296
2021-09-10 16:10:51.694824 : Epoch  1, Batch     41, Loss  1.644485, Average Loss  1.711731, Time  0.174684
2021-09-10 16:10:53.292101 : Epoch  1, Batch     42, Loss  1.663104, Average Loss  1.710573, Time  0.171906
2021-09-10 16:10:54.862934 : Epoch  1, Batch     43, Loss  1.650587, Average Loss  1.709178, Time  0.175038
2021-09-10 16:10:56.451748 : Epoch  1, Batch     44, Loss  1.648093, Average Loss  1.707790, Time  0.172370
2021-09-10 16:10:58.033771 : Epoch  1, Batch     45, Loss  1.661464, Average Loss  1.706760, Time  0.172059
2021-09-10 16:10:59.613080 : Epoch  1, Batch     46, Loss  1.669606, Average Loss  1.705953, Time  0.175365
2021-09-10 16:11:01.185779 : Epoch  1, Batch     47, Loss  1.659484, Average Loss  1.704964, Time  0.172380
2021-09-10 16:11:02.766199 : Epoch  1, Batch     48, Loss  1.656226, Average Loss  1.703949, Time  0.173628
2021-09-10 16:11:04.352817 : Epoch  1, Batch     49, Loss  1.666005, Average Loss  1.703174, Time  0.172065
2021-09-10 16:11:05.940790 : Epoch  1, Batch     50, Loss  1.641621, Average Loss  1.701943, Time  0.173296
2021-09-10 16:11:07.528341 : Epoch  1, Batch     51, Loss  1.663226, Average Loss  1.701184, Time  0.173852
2021-09-10 16:11:09.105774 : Epoch  1, Batch     52, Loss  1.641602, Average Loss  1.700038, Time  0.172209
2021-09-10 16:11:10.682875 : Epoch  1, Batch     53, Loss  1.656067, Average Loss  1.699209, Time  0.171545
2021-09-10 16:11:12.269032 : Epoch  1, Batch     54, Loss  1.638972, Average Loss  1.698093, Time  0.171452
2021-09-10 16:11:13.845774 : Epoch  1, Batch     55, Loss  1.652611, Average Loss  1.697266, Time  0.171206
2021-09-10 16:11:15.433822 : Epoch  1, Batch     56, Loss  1.643682, Average Loss  1.696309, Time  0.171135
2021-09-10 16:11:17.014776 : Epoch  1, Batch     57, Loss  1.637562, Average Loss  1.695279, Time  0.171216
2021-09-10 16:11:18.591824 : Epoch  1, Batch     58, Loss  1.638237, Average Loss  1.694295, Time  0.171146
2021-09-10 16:11:20.168749 : Epoch  1, Batch     59, Loss  1.634248, Average Loss  1.693277, Time  0.172029
2021-09-10 16:11:21.743953 : Epoch  1, Batch     60, Loss  1.640563, Average Loss  1.692399, Time  0.171211
2021-09-10 16:11:23.323122 : Epoch  1, Batch     61, Loss  1.644922, Average Loss  1.691621, Time  0.171537
2021-09-10 16:11:24.897698 : Epoch  1, Batch     62, Loss  1.633279, Average Loss  1.690680, Time  0.175267
2021-09-10 16:11:26.471070 : Epoch  1, Batch     63, Loss  1.647157, Average Loss  1.689989, Time  0.176457
2021-09-10 16:11:28.064091 : Epoch  1, Batch     64, Loss  1.657358, Average Loss  1.689479, Time  0.172788
2021-09-10 16:11:29.655813 : Epoch  1, Batch     65, Loss  1.634777, Average Loss  1.688637, Time  0.176981
2021-09-10 16:11:31.229199 : Epoch  1, Batch     66, Loss  1.612453, Average Loss  1.687483, Time  0.171436
2021-09-10 16:11:32.803230 : Epoch  1, Batch     67, Loss  1.636563, Average Loss  1.686723, Time  0.173215
2021-09-10 16:11:34.381032 : Epoch  1, Batch     68, Loss  1.603332, Average Loss  1.685497, Time  0.171585
2021-09-10 16:11:35.949236 : Epoch  1, Batch     69, Loss  1.618741, Average Loss  1.684529, Time  0.171188
2021-09-10 16:11:37.519059 : Epoch  1, Batch     70, Loss  1.622747, Average Loss  1.683647, Time  0.171896
2021-09-10 16:11:39.102765 : Epoch  1, Batch     71, Loss  1.589540, Average Loss  1.682321, Time  0.171819
2021-09-10 16:11:40.685307 : Epoch  1, Batch     72, Loss  1.581213, Average Loss  1.680917, Time  0.171016
2021-09-10 16:11:42.257909 : Epoch  1, Batch     73, Loss  1.572911, Average Loss  1.679437, Time  0.172047
2021-09-10 16:11:43.838758 : Epoch  1, Batch     74, Loss  1.568079, Average Loss  1.677932, Time  0.176807
2021-09-10 16:11:45.428840 : Epoch  1, Batch     75, Loss  1.553522, Average Loss  1.676274, Time  0.174378
2021-09-10 16:11:47.065116 : Epoch  1, Batch     76, Loss  1.522723, Average Loss  1.674253, Time  0.173031
2021-09-10 16:11:48.682833 : Epoch  1, Batch     77, Loss  1.493930, Average Loss  1.671911, Time  0.172184
2021-09-10 16:11:50.287320 : Epoch  1, Batch     78, Loss  1.455750, Average Loss  1.669140, Time  0.173887
2021-09-10 16:11:51.893800 : Epoch  1, Batch     79, Loss  1.443957, Average Loss  1.666290, Time  0.171867
2021-09-10 16:11:53.510260 : Epoch  1, Batch     80, Loss  1.453804, Average Loss  1.663634, Time  0.173634
2021-09-10 16:11:55.157894 : Epoch  1, Batch     81, Loss  1.436473, Average Loss  1.660829, Time  0.177561
2021-09-10 16:11:56.749846 : Epoch  1, Batch     82, Loss  1.415764, Average Loss  1.657841, Time  0.173883
2021-09-10 16:11:58.354818 : Epoch  1, Batch     83, Loss  1.405439, Average Loss  1.654800, Time  0.175539
2021-09-10 16:11:59.981910 : Epoch  1, Batch     84, Loss  1.429311, Average Loss  1.652115, Time  0.177763
2021-09-10 16:12:01.590865 : Epoch  1, Batch     85, Loss  1.406557, Average Loss  1.649226, Time  0.179925
2021-09-10 16:12:03.191839 : Epoch  1, Batch     86, Loss  1.351805, Average Loss  1.645768, Time  0.173198
2021-09-10 16:12:04.809878 : Epoch  1, Batch     87, Loss  1.353967, Average Loss  1.642414, Time  0.178213
2021-09-10 16:12:06.417888 : Epoch  1, Batch     88, Loss  1.339849, Average Loss  1.638976, Time  0.171961
2021-09-10 16:12:08.007781 : Epoch  1, Batch     89, Loss  1.304008, Average Loss  1.635212, Time  0.171767
2021-09-10 16:12:09.630866 : Epoch  1, Batch     90, Loss  1.296937, Average Loss  1.631453, Time  0.177877
2021-09-10 16:12:11.247071 : Epoch  1, Batch     91, Loss  1.345453, Average Loss  1.628310, Time  0.179570
2021-09-10 16:12:12.834830 : Epoch  1, Batch     92, Loss  1.337073, Average Loss  1.625145, Time  0.175240
2021-09-10 16:12:14.448109 : Epoch  1, Batch     93, Loss  1.299978, Average Loss  1.621648, Time  0.182710
2021-09-10 16:12:15.550792 : Building dataset train from orignial text documents
2021-09-10 16:12:16.046769 : Epoch  1, Batch     94, Loss  1.303839, Average Loss  1.618267, Time  0.180456
2021-09-10 16:12:17.649647 : Epoch  1, Batch     95, Loss  1.307410, Average Loss  1.614995, Time  0.175274
2021-09-10 16:12:19.236759 : Epoch  1, Batch     96, Loss  1.270774, Average Loss  1.611410, Time  0.172104
2021-09-10 16:12:20.840757 : Epoch  1, Batch     97, Loss  1.321802, Average Loss  1.608424, Time  0.171259
2021-09-10 16:12:22.445797 : Epoch  1, Batch     98, Loss  1.245262, Average Loss  1.604718, Time  0.171081
2021-09-10 16:12:24.055761 : Epoch  1, Batch     99, Loss  1.264356, Average Loss  1.601280, Time  0.177481
2021-09-10 16:12:25.647788 : Epoch  1, Batch    100, Loss  1.312911, Average Loss  1.598397, Time  0.171879
2021-09-10 16:12:44.225671 : Finish Loading dataset train
2021-09-10 16:12:44.265844 : Data Shuffle
2021-09-10 16:12:44.309613 : Start Shuffling
2021-09-10 16:12:45.355090 : Finish Shuffling
2021-09-10 16:12:45.452666 : Generate Batch
2021-09-10 16:12:45.760646 : Building dataset valid from orignial text documents
2021-09-10 16:12:47.049653 : Finish Loading dataset valid
2021-09-10 16:12:47.121627 : Data Shuffle
2021-09-10 16:12:47.194614 : Start Shuffling
2021-09-10 16:12:47.295647 : Finish Shuffling
2021-09-10 16:12:47.375654 : Generate Batch
2021-09-10 16:12:47.444640 : There are 787 batches per epoch
2021-09-10 16:12:47.488626 : Batch Shuffled
2021-09-10 16:12:49.808693 : Epoch  1, Batch      1, Loss  1.152938, Average Loss  1.152938, Time  0.522244
2021-09-10 16:12:51.929830 : Epoch  1, Batch      2, Loss  1.149997, Average Loss  1.151467, Time  0.286907
2021-09-10 16:12:54.050906 : Epoch  1, Batch      3, Loss  1.149969, Average Loss  1.150968, Time  0.286447
2021-09-10 16:12:56.159866 : Epoch  1, Batch      4, Loss  1.147330, Average Loss  1.150058, Time  0.286078
2021-09-10 16:12:58.267829 : Epoch  1, Batch      5, Loss  1.144799, Average Loss  1.149006, Time  0.285876
2021-09-10 16:13:00.362236 : Epoch  1, Batch      6, Loss  1.136233, Average Loss  1.146878, Time  0.285684
2021-09-10 16:13:02.445993 : Epoch  1, Batch      7, Loss  1.136147, Average Loss  1.145345, Time  0.285896
2021-09-10 16:13:04.526916 : Epoch  1, Batch      8, Loss  1.128858, Average Loss  1.143284, Time  0.286254
2021-09-10 16:13:06.609818 : Epoch  1, Batch      9, Loss  1.118748, Average Loss  1.140558, Time  0.285343
2021-09-10 16:13:08.706898 : Epoch  1, Batch     10, Loss  1.112157, Average Loss  1.137718, Time  0.285616
2021-09-10 16:13:10.820771 : Epoch  1, Batch     11, Loss  1.114674, Average Loss  1.135623, Time  0.302750
2021-09-10 16:13:12.907890 : Epoch  1, Batch     12, Loss  1.103371, Average Loss  1.132935, Time  0.285728
2021-09-10 16:13:15.027820 : Epoch  1, Batch     13, Loss  1.096883, Average Loss  1.130162, Time  0.329993
2021-09-10 16:13:17.116336 : Epoch  1, Batch     14, Loss  1.082901, Average Loss  1.126786, Time  0.285914
2021-09-10 16:13:19.281884 : Epoch  1, Batch     15, Loss  1.076578, Average Loss  1.123439, Time  0.330818
2021-09-10 16:13:21.377250 : Epoch  1, Batch     16, Loss  1.071449, Average Loss  1.120189, Time  0.286134
2021-09-10 16:13:23.527781 : Epoch  1, Batch     17, Loss  1.062950, Average Loss  1.116822, Time  0.330412
2021-09-10 16:13:25.615309 : Epoch  1, Batch     18, Loss  1.055981, Average Loss  1.113442, Time  0.286453
2021-09-10 16:13:27.754979 : Epoch  1, Batch     19, Loss  1.053778, Average Loss  1.110302, Time  0.329363
2021-09-10 16:13:29.865009 : Epoch  1, Batch     20, Loss  1.038786, Average Loss  1.106726, Time  0.285523
2021-09-10 16:13:32.006282 : Epoch  1, Batch     21, Loss  1.034508, Average Loss  1.103287, Time  0.329124
2021-09-10 16:13:34.092399 : Epoch  1, Batch     22, Loss  1.031229, Average Loss  1.100012, Time  0.285980
2021-09-10 16:13:36.187782 : Epoch  1, Batch     23, Loss  1.021815, Average Loss  1.096612, Time  0.286227
2021-09-10 16:17:11.044716 : CheckPoint: Validation Loss  0.00084877, Best Loss  0.00084877
2021-09-10 16:17:11.126631 : Best Model Updated
2021-09-10 16:17:14.053511 : Epoch  1, Batch    101, Loss  1.225188, Average Loss  1.594701, Time  0.180454
2021-09-10 16:17:15.674786 : Epoch  1, Batch    102, Loss  1.258615, Average Loss  1.591406, Time  0.176279
2021-09-10 16:17:17.288506 : Epoch  1, Batch    103, Loss  1.242481, Average Loss  1.588019, Time  0.173298
2021-09-10 16:17:18.893107 : Epoch  1, Batch    104, Loss  1.253750, Average Loss  1.584805, Time  0.178157
2021-09-10 16:17:20.491793 : Epoch  1, Batch    105, Loss  1.239714, Average Loss  1.581518, Time  0.174736
2021-09-10 16:17:22.107792 : Epoch  1, Batch    106, Loss  1.250324, Average Loss  1.578394, Time  0.171927
2021-09-10 16:17:23.704882 : Epoch  1, Batch    107, Loss  1.221664, Average Loss  1.575060, Time  0.172774
2021-09-10 16:17:25.298092 : Epoch  1, Batch    108, Loss  1.237664, Average Loss  1.571936, Time  0.172414
2021-09-10 16:17:26.908854 : Epoch  1, Batch    109, Loss  1.203715, Average Loss  1.568558, Time  0.177338
2021-09-10 16:17:28.516111 : Epoch  1, Batch    110, Loss  1.183205, Average Loss  1.565054, Time  0.175518
2021-09-10 16:17:30.159855 : Epoch  1, Batch    111, Loss  1.185733, Average Loss  1.561637, Time  0.172504
2021-09-10 16:17:31.785765 : Epoch  1, Batch    112, Loss  1.143342, Average Loss  1.557902, Time  0.174328
2021-09-10 16:17:33.385758 : Epoch  1, Batch    113, Loss  1.194786, Average Loss  1.554689, Time  0.175376
2021-09-10 16:17:34.964882 : Epoch  1, Batch    114, Loss  1.143024, Average Loss  1.551078, Time  0.172113
2021-09-10 16:17:36.540796 : Epoch  1, Batch    115, Loss  1.141862, Average Loss  1.547519, Time  0.172923
2021-09-10 16:17:38.147080 : Epoch  1, Batch    116, Loss  1.161536, Average Loss  1.544192, Time  0.172188
2021-09-10 16:17:39.773878 : Epoch  1, Batch    117, Loss  1.138412, Average Loss  1.540724, Time  0.181014
2021-09-10 16:17:41.407758 : Epoch  1, Batch    118, Loss  1.104010, Average Loss  1.537023, Time  0.181366
2021-09-10 16:17:43.005788 : Epoch  1, Batch    119, Loss  1.138963, Average Loss  1.533678, Time  0.172117
2021-09-10 16:17:44.592450 : Epoch  1, Batch    120, Loss  1.124162, Average Loss  1.530265, Time  0.177930
2021-09-10 16:17:46.220882 : Epoch  1, Batch    121, Loss  1.069247, Average Loss  1.526455, Time  0.182630
2021-09-10 16:17:47.827073 : Epoch  1, Batch    122, Loss  1.082085, Average Loss  1.522813, Time  0.172472
2021-09-10 16:17:49.409130 : Epoch  1, Batch    123, Loss  1.065071, Average Loss  1.519091, Time  0.173584
2021-09-10 16:17:51.035820 : Epoch  1, Batch    124, Loss  1.081003, Average Loss  1.515558, Time  0.183155
2021-09-10 16:17:52.639893 : Epoch  1, Batch    125, Loss  1.068302, Average Loss  1.511980, Time  0.171599
2021-09-10 16:17:54.243814 : Epoch  1, Batch    126, Loss  1.059079, Average Loss  1.508386, Time  0.174461
2021-09-10 16:17:55.848826 : Epoch  1, Batch    127, Loss  1.065647, Average Loss  1.504900, Time  0.190214
2021-09-10 16:17:57.493780 : Epoch  1, Batch    128, Loss  1.053162, Average Loss  1.501370, Time  0.176666
2021-09-10 16:17:59.097800 : Epoch  1, Batch    129, Loss  1.039761, Average Loss  1.497792, Time  0.174570
2021-09-10 16:18:00.715068 : Epoch  1, Batch    130, Loss  1.072344, Average Loss  1.494519, Time  0.175120
2021-09-10 16:18:02.321770 : Epoch  1, Batch    131, Loss  1.054449, Average Loss  1.491160, Time  0.171296
2021-09-10 16:18:03.934063 : Epoch  1, Batch    132, Loss  1.047983, Average Loss  1.487803, Time  0.175419
2021-09-10 16:18:05.541647 : Epoch  1, Batch    133, Loss  1.053703, Average Loss  1.484539, Time  0.172034
2021-09-10 16:18:07.146771 : Epoch  1, Batch    134, Loss  1.037051, Average Loss  1.481199, Time  0.172413
2021-09-10 16:18:08.775051 : Epoch  1, Batch    135, Loss  1.043970, Average Loss  1.477960, Time  0.181993
2021-09-10 16:18:10.433068 : Epoch  1, Batch    136, Loss  1.044703, Average Loss  1.474775, Time  0.171936
2021-09-10 16:18:12.118844 : Epoch  1, Batch    137, Loss  1.020579, Average Loss  1.471459, Time  0.171194
2021-09-10 16:18:13.758070 : Epoch  1, Batch    138, Loss  1.053359, Average Loss  1.468430, Time  0.172339
2021-09-10 16:18:15.388900 : Epoch  1, Batch    139, Loss  1.003160, Average Loss  1.465082, Time  0.171766
2021-09-10 16:18:16.994136 : Epoch  1, Batch    140, Loss  1.026287, Average Loss  1.461948, Time  0.171422
2021-09-10 16:18:18.603857 : Epoch  1, Batch    141, Loss  1.006933, Average Loss  1.458721, Time  0.185722
2021-09-10 16:18:20.240949 : Epoch  1, Batch    142, Loss  1.011465, Average Loss  1.455571, Time  0.180465
2021-09-10 16:18:21.852878 : Epoch  1, Batch    143, Loss  1.036155, Average Loss  1.452638, Time  0.172778
2021-09-10 16:18:23.437788 : Epoch  1, Batch    144, Loss  0.983466, Average Loss  1.449380, Time  0.172385
2021-09-10 16:18:25.029780 : Epoch  1, Batch    145, Loss  0.981689, Average Loss  1.446155, Time  0.171675
2021-09-10 16:18:26.635828 : Epoch  1, Batch    146, Loss  0.984810, Average Loss  1.442995, Time  0.175360
2021-09-10 16:18:28.248812 : Epoch  1, Batch    147, Loss  0.998898, Average Loss  1.439974, Time  0.173370
2021-09-10 16:18:29.848850 : Epoch  1, Batch    148, Loss  0.929306, Average Loss  1.436523, Time  0.178759
2021-09-10 16:18:31.467793 : Epoch  1, Batch    149, Loss  0.985210, Average Loss  1.433494, Time  0.171558
2021-09-10 16:18:33.063829 : Epoch  1, Batch    150, Loss  0.959191, Average Loss  1.430332, Time  0.171772
2021-09-10 16:18:34.676830 : Epoch  1, Batch    151, Loss  0.958971, Average Loss  1.427211, Time  0.177579
2021-09-10 16:18:36.270604 : Epoch  1, Batch    152, Loss  0.935098, Average Loss  1.423973, Time  0.174659
2021-09-10 16:18:37.875765 : Epoch  1, Batch    153, Loss  0.949790, Average Loss  1.420874, Time  0.185642
2021-09-10 16:18:39.471613 : Epoch  1, Batch    154, Loss  0.969745, Average Loss  1.417945, Time  0.177172
2021-09-10 16:18:41.080873 : Epoch  1, Batch    155, Loss  0.985241, Average Loss  1.415153, Time  0.172205
2021-09-10 16:18:42.738799 : Epoch  1, Batch    156, Loss  0.974761, Average Loss  1.412330, Time  0.175294
2021-09-10 16:18:44.361756 : Epoch  1, Batch    157, Loss  0.959464, Average Loss  1.409445, Time  0.177150
2021-09-10 16:18:45.978840 : Epoch  1, Batch    158, Loss  0.923227, Average Loss  1.406368, Time  0.171534
2021-09-10 16:18:47.608917 : Epoch  1, Batch    159, Loss  0.958047, Average Loss  1.403549, Time  0.185103
2021-09-10 16:18:49.207862 : Epoch  1, Batch    160, Loss  0.940981, Average Loss  1.400657, Time  0.173007
2021-09-10 16:18:50.813841 : Epoch  1, Batch    161, Loss  0.987651, Average Loss  1.398092, Time  0.171008
2021-09-10 16:18:52.441763 : Epoch  1, Batch    162, Loss  0.971757, Average Loss  1.395461, Time  0.171154
2021-09-10 16:18:54.045922 : Epoch  1, Batch    163, Loss  0.973398, Average Loss  1.392871, Time  0.171387
2021-09-10 16:18:55.647875 : Epoch  1, Batch    164, Loss  0.945477, Average Loss  1.390143, Time  0.171284
2021-09-10 16:18:57.243749 : Epoch  1, Batch    165, Loss  0.933831, Average Loss  1.387378, Time  0.171248
2021-09-10 16:18:58.855796 : Epoch  1, Batch    166, Loss  0.966062, Average Loss  1.384840, Time  0.174249
2021-09-10 16:19:00.507807 : Epoch  1, Batch    167, Loss  0.938126, Average Loss  1.382165, Time  0.175272
2021-09-10 16:19:02.131754 : Epoch  1, Batch    168, Loss  0.932027, Average Loss  1.379485, Time  0.176749
2021-09-10 16:19:03.744064 : Epoch  1, Batch    169, Loss  0.936606, Average Loss  1.376865, Time  0.174782
2021-09-10 16:19:05.347795 : Epoch  1, Batch    170, Loss  0.903180, Average Loss  1.374078, Time  0.171842
2021-09-10 16:19:06.958071 : Epoch  1, Batch    171, Loss  0.931233, Average Loss  1.371489, Time  0.171393
2021-09-10 16:19:08.599846 : Epoch  1, Batch    172, Loss  0.947282, Average Loss  1.369022, Time  0.181268
2021-09-10 16:19:10.246842 : Epoch  1, Batch    173, Loss  0.935925, Average Loss  1.366519, Time  0.185256
2021-09-10 16:19:11.829699 : Epoch  1, Batch    174, Loss  0.951672, Average Loss  1.364135, Time  0.172137
2021-09-10 16:19:13.462758 : Epoch  1, Batch    175, Loss  0.923509, Average Loss  1.361617, Time  0.176408
2021-09-10 16:19:15.073067 : Epoch  1, Batch    176, Loss  0.908574, Average Loss  1.359043, Time  0.177899
2021-09-10 16:19:16.688879 : Epoch  1, Batch    177, Loss  0.913163, Average Loss  1.356524, Time  0.173510
2021-09-10 16:19:18.310870 : Epoch  1, Batch    178, Loss  0.954911, Average Loss  1.354267, Time  0.179606
2021-09-10 16:19:19.926742 : Epoch  1, Batch    179, Loss  0.947950, Average Loss  1.351997, Time  0.171916
2021-09-10 16:19:21.520898 : Epoch  1, Batch    180, Loss  0.921366, Average Loss  1.349605, Time  0.176759
2021-09-10 16:19:23.123690 : Epoch  1, Batch    181, Loss  0.919767, Average Loss  1.347230, Time  0.172482
2021-09-10 16:19:24.719906 : Epoch  1, Batch    182, Loss  0.922841, Average Loss  1.344898, Time  0.178046
2021-09-10 16:19:26.333824 : Epoch  1, Batch    183, Loss  0.941859, Average Loss  1.342696, Time  0.171590
2021-09-10 16:19:27.925778 : Epoch  1, Batch    184, Loss  0.915848, Average Loss  1.340376, Time  0.174077
2021-09-10 16:19:29.518956 : Epoch  1, Batch    185, Loss  0.921754, Average Loss  1.338113, Time  0.172201
2021-09-10 16:19:31.111469 : Epoch  1, Batch    186, Loss  0.935631, Average Loss  1.335949, Time  0.172210
2021-09-10 16:19:32.693768 : Epoch  1, Batch    187, Loss  0.914318, Average Loss  1.333695, Time  0.171319
2021-09-10 16:19:34.304892 : Epoch  1, Batch    188, Loss  0.906955, Average Loss  1.331425, Time  0.176061
2021-09-10 16:19:35.908814 : Epoch  1, Batch    189, Loss  0.949256, Average Loss  1.329403, Time  0.171474
2021-09-10 16:19:37.507958 : Epoch  1, Batch    190, Loss  0.926836, Average Loss  1.327284, Time  0.176570
2021-09-10 16:19:39.127127 : Epoch  1, Batch    191, Loss  0.887376, Average Loss  1.324981, Time  0.174337
2021-09-10 16:19:40.740861 : Epoch  1, Batch    192, Loss  0.933830, Average Loss  1.322944, Time  0.177306
2021-09-10 16:19:42.347801 : Epoch  1, Batch    193, Loss  0.912112, Average Loss  1.320815, Time  0.172159
2021-09-10 16:19:43.958063 : Epoch  1, Batch    194, Loss  0.944277, Average Loss  1.318874, Time  0.173784
2021-09-10 16:19:45.570784 : Epoch  1, Batch    195, Loss  0.942526, Average Loss  1.316944, Time  0.179945
2021-09-10 16:19:47.202055 : Epoch  1, Batch    196, Loss  0.902953, Average Loss  1.314832, Time  0.172216
2021-09-10 16:19:48.815851 : Epoch  1, Batch    197, Loss  0.909429, Average Loss  1.312774, Time  0.176177
2021-09-10 16:19:50.404934 : Epoch  1, Batch    198, Loss  0.934956, Average Loss  1.310866, Time  0.175525
2021-09-10 16:19:52.001963 : Epoch  1, Batch    199, Loss  0.900363, Average Loss  1.308803, Time  0.171590
2021-09-10 16:19:53.591377 : Epoch  1, Batch    200, Loss  0.948471, Average Loss  1.307001, Time  0.173136
2021-09-10 16:24:38.954719 : CheckPoint: Validation Loss  0.00061489, Best Loss  0.00061489
2021-09-10 16:24:39.048625 : Best Model Updated
2021-09-10 16:24:41.629828 : Epoch  1, Batch    201, Loss  0.899505, Average Loss  1.302494, Time  0.178715
2021-09-10 16:24:43.229757 : Epoch  1, Batch    202, Loss  0.920146, Average Loss  1.298062, Time  0.171973
2021-09-10 16:24:44.840849 : Epoch  1, Batch    203, Loss  0.918319, Average Loss  1.293624, Time  0.171291
2021-09-10 16:24:46.459068 : Epoch  1, Batch    204, Loss  0.900423, Average Loss  1.289174, Time  0.177432
2021-09-10 16:24:48.059716 : Epoch  1, Batch    205, Loss  0.908247, Average Loss  1.284739, Time  0.172419
2021-09-10 16:24:49.640821 : Epoch  1, Batch    206, Loss  0.908713, Average Loss  1.280291, Time  0.173732
2021-09-10 16:24:51.230187 : Epoch  1, Batch    207, Loss  0.927545, Average Loss  1.276007, Time  0.171499
2021-09-10 16:24:52.818078 : Epoch  1, Batch    208, Loss  0.910298, Average Loss  1.271661, Time  0.179227
2021-09-10 16:24:54.430804 : Epoch  1, Batch    209, Loss  0.904023, Average Loss  1.267299, Time  0.177107
2021-09-10 16:24:56.009133 : Epoch  1, Batch    210, Loss  0.947759, Average Loss  1.263177, Time  0.172547
2021-09-10 16:24:57.622768 : Epoch  1, Batch    211, Loss  0.911230, Average Loss  1.258916, Time  0.174969
2021-09-10 16:24:59.227767 : Epoch  1, Batch    212, Loss  0.890158, Average Loss  1.254636, Time  0.180644
2021-09-10 16:25:00.840842 : Epoch  1, Batch    213, Loss  0.913091, Average Loss  1.250429, Time  0.175859
2021-09-10 16:25:02.435093 : Epoch  1, Batch    214, Loss  0.906046, Average Loss  1.246348, Time  0.172793
2021-09-10 16:25:04.059075 : Epoch  1, Batch    215, Loss  0.913742, Average Loss  1.242268, Time  0.176887
2021-09-10 16:25:05.665083 : Epoch  1, Batch    216, Loss  0.940037, Average Loss  1.238354, Time  0.171491
2021-09-10 16:25:07.253863 : Epoch  1, Batch    217, Loss  0.914895, Average Loss  1.234399, Time  0.173014
2021-09-10 16:25:08.875878 : Epoch  1, Batch    218, Loss  0.917923, Average Loss  1.230465, Time  0.178248
2021-09-10 16:25:10.480839 : Epoch  1, Batch    219, Loss  0.921158, Average Loss  1.226551, Time  0.175308
2021-09-10 16:25:12.101067 : Epoch  1, Batch    220, Loss  0.903534, Average Loss  1.222654, Time  0.177708
2021-09-10 16:25:13.714810 : Epoch  1, Batch    221, Loss  0.923998, Average Loss  1.218822, Time  0.171384
2021-09-10 16:25:15.301188 : Epoch  1, Batch    222, Loss  0.931552, Average Loss  1.214997, Time  0.173747
2021-09-10 16:25:16.916127 : Epoch  1, Batch    223, Loss  0.933655, Average Loss  1.211195, Time  0.171806
2021-09-10 16:25:18.699080 : Epoch  1, Batch    224, Loss  0.915411, Average Loss  1.207407, Time  0.175369
2021-09-10 16:25:20.306815 : Epoch  1, Batch    225, Loss  0.892276, Average Loss  1.203496, Time  0.175157
2021-09-10 16:25:21.892855 : Epoch  1, Batch    226, Loss  0.852403, Average Loss  1.199440, Time  0.171916
2021-09-10 16:25:23.503843 : Epoch  1, Batch    227, Loss  0.923922, Average Loss  1.195688, Time  0.180257
2021-09-10 16:25:25.119760 : Epoch  1, Batch    228, Loss  0.910224, Average Loss  1.191773, Time  0.174003
2021-09-10 16:25:26.736055 : Epoch  1, Batch    229, Loss  0.913244, Average Loss  1.188038, Time  0.171555
2021-09-10 16:25:28.324806 : Epoch  1, Batch    230, Loss  0.908799, Average Loss  1.184262, Time  0.172711
2021-09-10 16:25:29.940761 : Epoch  1, Batch    231, Loss  0.931010, Average Loss  1.180622, Time  0.177783
2021-09-10 16:25:31.546080 : Epoch  1, Batch    232, Loss  0.911086, Average Loss  1.176876, Time  0.173809
2021-09-10 16:25:33.140721 : Epoch  1, Batch    233, Loss  0.916955, Average Loss  1.173099, Time  0.175318
2021-09-10 16:25:34.730078 : Epoch  1, Batch    234, Loss  0.906192, Average Loss  1.169339, Time  0.174277
2021-09-10 16:25:36.320759 : Epoch  1, Batch    235, Loss  0.937642, Average Loss  1.165659, Time  0.171743
2021-09-10 16:25:37.906878 : Epoch  1, Batch    236, Loss  0.904813, Average Loss  1.161812, Time  0.172297
2021-09-10 16:25:39.504223 : Epoch  1, Batch    237, Loss  0.895041, Average Loss  1.158054, Time  0.175545
2021-09-10 16:25:41.096896 : Epoch  1, Batch    238, Loss  0.904694, Average Loss  1.154288, Time  0.172126
2021-09-10 16:25:42.715824 : Epoch  1, Batch    239, Loss  0.904692, Average Loss  1.150524, Time  0.171410
2021-09-10 16:25:44.293789 : Epoch  1, Batch    240, Loss  0.906991, Average Loss  1.146826, Time  0.175067
2021-09-10 16:25:45.884884 : Epoch  1, Batch    241, Loss  0.888543, Average Loss  1.143046, Time  0.171675
2021-09-10 16:25:47.493830 : Epoch  1, Batch    242, Loss  0.869974, Average Loss  1.139080, Time  0.175376
2021-09-10 16:25:49.101065 : Epoch  1, Batch    243, Loss  0.907933, Average Loss  1.135367, Time  0.172174
2021-09-10 16:25:50.681762 : Epoch  1, Batch    244, Loss  0.956538, Average Loss  1.131909, Time  0.172940
2021-09-10 16:25:52.270755 : Epoch  1, Batch    245, Loss  0.920358, Average Loss  1.128204, Time  0.177657
2021-09-10 16:25:53.850678 : Epoch  1, Batch    246, Loss  0.924772, Average Loss  1.124480, Time  0.173167
2021-09-10 16:25:55.444068 : Epoch  1, Batch    247, Loss  0.869892, Average Loss  1.120532, Time  0.172080
2021-09-10 16:25:57.027897 : Epoch  1, Batch    248, Loss  0.910858, Average Loss  1.116805, Time  0.175732
2021-09-10 16:25:58.621071 : Epoch  1, Batch    249, Loss  0.879718, Average Loss  1.112873, Time  0.174329
2021-09-10 16:26:00.225950 : Epoch  1, Batch    250, Loss  0.897066, Average Loss  1.109151, Time  0.174901
2021-09-10 16:26:01.828793 : Epoch  1, Batch    251, Loss  0.922680, Average Loss  1.105448, Time  0.171379
2021-09-10 16:26:03.426817 : Epoch  1, Batch    252, Loss  0.898915, Average Loss  1.101735, Time  0.171979
2021-09-10 16:26:05.024063 : Epoch  1, Batch    253, Loss  0.929869, Average Loss  1.098104, Time  0.177857
2021-09-10 16:26:06.610106 : Epoch  1, Batch    254, Loss  0.903991, Average Loss  1.094429, Time  0.171539
2021-09-10 16:26:08.203793 : Epoch  1, Batch    255, Loss  0.886432, Average Loss  1.090598, Time  0.175227
2021-09-10 16:26:09.800948 : Epoch  1, Batch    256, Loss  0.907242, Average Loss  1.086916, Time  0.176311
2021-09-10 16:26:11.411074 : Epoch  1, Batch    257, Loss  0.882798, Average Loss  1.083142, Time  0.176100
2021-09-10 16:26:12.982150 : Epoch  1, Batch    258, Loss  0.931305, Average Loss  1.079607, Time  0.172235
2021-09-10 16:26:14.563075 : Epoch  1, Batch    259, Loss  0.902377, Average Loss  1.075948, Time  0.171937
2021-09-10 16:26:16.149245 : Epoch  1, Batch    260, Loss  0.897736, Average Loss  1.072234, Time  0.175766
2021-09-10 16:26:17.746853 : Epoch  1, Batch    261, Loss  0.907927, Average Loss  1.068549, Time  0.179409
2021-09-10 16:26:19.363068 : Epoch  1, Batch    262, Loss  0.900257, Average Loss  1.064883, Time  0.185524
2021-09-10 16:26:20.950067 : Epoch  1, Batch    263, Loss  0.871050, Average Loss  1.061003, Time  0.175441
2021-09-10 16:26:22.520418 : Epoch  1, Batch    264, Loss  0.886304, Average Loss  1.057148, Time  0.172409
2021-09-10 16:26:24.099961 : Epoch  1, Batch    265, Loss  0.902012, Average Loss  1.053484, Time  0.171627
2021-09-10 16:26:25.689072 : Epoch  1, Batch    266, Loss  0.888590, Average Loss  1.049865, Time  0.171653
2021-09-10 16:26:27.292794 : Epoch  1, Batch    267, Loss  0.908793, Average Loss  1.046226, Time  0.171344
2021-09-10 16:26:28.881134 : Epoch  1, Batch    268, Loss  0.899709, Average Loss  1.042708, Time  0.175278
2021-09-10 16:26:30.466765 : Epoch  1, Batch    269, Loss  0.909527, Average Loss  1.039161, Time  0.174826
2021-09-10 16:26:32.103885 : Epoch  1, Batch    270, Loss  0.914925, Average Loss  1.035622, Time  0.177397
2021-09-10 16:26:33.684969 : Epoch  1, Batch    271, Loss  0.879409, Average Loss  1.032072, Time  0.175123
2021-09-10 16:26:35.269972 : Epoch  1, Batch    272, Loss  0.905623, Average Loss  1.028694, Time  0.174646
2021-09-10 16:26:36.856788 : Epoch  1, Batch    273, Loss  0.889627, Average Loss  1.025277, Time  0.174303
2021-09-10 16:26:38.442756 : Epoch  1, Batch    274, Loss  0.886138, Average Loss  1.021868, Time  0.179838
2021-09-10 16:26:40.042830 : Epoch  1, Batch    275, Loss  0.905711, Average Loss  1.018629, Time  0.171832
2021-09-10 16:26:41.627766 : Epoch  1, Batch    276, Loss  0.912614, Average Loss  1.015578, Time  0.179679
2021-09-10 16:26:43.241077 : Epoch  1, Batch    277, Loss  0.884605, Average Loss  1.012531, Time  0.173862
2021-09-10 16:26:44.857764 : Epoch  1, Batch    278, Loss  0.901679, Average Loss  1.009761, Time  0.180556
2021-09-10 16:26:46.457801 : Epoch  1, Batch    279, Loss  0.933455, Average Loss  1.007209, Time  0.174407
2021-09-10 16:26:48.058816 : Epoch  1, Batch    280, Loss  0.886480, Average Loss  1.004372, Time  0.172370
2021-09-10 16:26:49.650793 : Epoch  1, Batch    281, Loss  0.889789, Average Loss  1.001639, Time  0.177928
2021-09-10 16:26:51.296096 : Epoch  1, Batch    282, Loss  0.894941, Average Loss  0.999034, Time  0.173600
2021-09-10 16:26:52.903053 : Epoch  1, Batch    283, Loss  0.902599, Average Loss  0.996520, Time  0.172436
2021-09-10 16:26:54.515878 : Epoch  1, Batch    284, Loss  0.868728, Average Loss  0.993717, Time  0.180837
2021-09-10 16:26:56.104057 : Epoch  1, Batch    285, Loss  0.908780, Average Loss  0.991228, Time  0.176440
2021-09-10 16:26:57.697830 : Epoch  1, Batch    286, Loss  0.915265, Average Loss  0.989046, Time  0.174439
2021-09-10 16:26:59.308750 : Epoch  1, Batch    287, Loss  0.926771, Average Loss  0.986910, Time  0.174405
2021-09-10 16:27:00.957790 : Epoch  1, Batch    288, Loss  0.915364, Average Loss  0.984787, Time  0.180244
2021-09-10 16:27:02.576887 : Epoch  1, Batch    289, Loss  0.944585, Average Loss  0.982990, Time  0.178631
2021-09-10 16:27:04.167866 : Epoch  1, Batch    290, Loss  0.904511, Average Loss  0.981028, Time  0.172520
2021-09-10 16:27:05.765069 : Epoch  1, Batch    291, Loss  0.919750, Average Loss  0.978900, Time  0.171973
2021-09-10 16:27:07.363063 : Epoch  1, Batch    292, Loss  0.884191, Average Loss  0.976635, Time  0.174814
2021-09-10 16:27:08.972012 : Epoch  1, Batch    293, Loss  0.879935, Average Loss  0.974535, Time  0.172400
2021-09-10 16:27:10.582776 : Epoch  1, Batch    294, Loss  0.918433, Average Loss  0.972608, Time  0.178008
2021-09-10 16:27:12.173816 : Epoch  1, Batch    295, Loss  0.892894, Average Loss  0.970535, Time  0.171679
2021-09-10 16:27:13.758063 : Epoch  1, Batch    296, Loss  0.910358, Average Loss  0.968733, Time  0.178743
2021-09-10 16:27:15.337762 : Epoch  1, Batch    297, Loss  0.895126, Average Loss  0.966600, Time  0.175123
2021-09-10 16:27:16.969816 : Epoch  1, Batch    298, Loss  0.915681, Average Loss  0.964952, Time  0.172045
2021-09-10 16:27:18.563072 : Epoch  1, Batch    299, Loss  0.901459, Average Loss  0.963137, Time  0.174072
2021-09-10 16:27:20.174758 : Epoch  1, Batch    300, Loss  0.889555, Average Loss  0.961021, Time  0.175639
2021-09-10 16:32:04.416722 : CheckPoint: Validation Loss  0.00063856, Best Loss  0.00061489
2021-09-10 16:32:06.046894 : Epoch  1, Batch    301, Loss  0.926958, Average Loss  0.959530, Time  0.190264
2021-09-10 16:32:07.638882 : Epoch  1, Batch    302, Loss  0.874644, Average Loss  0.957610, Time  0.175105
2021-09-10 16:32:09.228860 : Epoch  1, Batch    303, Loss  0.859806, Average Loss  0.955696, Time  0.174067
2021-09-10 16:32:10.810053 : Epoch  1, Batch    304, Loss  0.894959, Average Loss  0.953902, Time  0.177943
2021-09-10 16:32:12.396057 : Epoch  1, Batch    305, Loss  0.861988, Average Loss  0.952014, Time  0.174958
2021-09-10 16:32:14.007986 : Epoch  1, Batch    306, Loss  0.899926, Average Loss  0.950262, Time  0.173053
2021-09-10 16:32:15.620831 : Epoch  1, Batch    307, Loss  0.881908, Average Loss  0.948563, Time  0.174142
2021-09-10 16:32:17.211013 : Epoch  1, Batch    308, Loss  0.902969, Average Loss  0.946889, Time  0.177871
2021-09-10 16:32:18.805811 : Epoch  1, Batch    309, Loss  0.917232, Average Loss  0.945457, Time  0.172365
2021-09-10 16:32:20.393058 : Epoch  1, Batch    310, Loss  0.885438, Average Loss  0.943968, Time  0.171515
2021-09-10 16:32:21.971833 : Epoch  1, Batch    311, Loss  0.885637, Average Loss  0.942468, Time  0.175673
2021-09-10 16:32:23.584887 : Epoch  1, Batch    312, Loss  0.911420, Average Loss  0.941308, Time  0.177651
2021-09-10 16:32:25.172058 : Epoch  1, Batch    313, Loss  0.902606, Average Loss  0.939847, Time  0.172551
2021-09-10 16:32:26.762860 : Epoch  1, Batch    314, Loss  0.896597, Average Loss  0.938615, Time  0.172169
2021-09-10 16:32:28.355069 : Epoch  1, Batch    315, Loss  0.890935, Average Loss  0.937360, Time  0.176673
2021-09-10 16:32:29.931767 : Epoch  1, Batch    316, Loss  0.895588, Average Loss  0.936031, Time  0.177047
2021-09-10 16:32:31.529779 : Epoch  1, Batch    317, Loss  0.912743, Average Loss  0.934902, Time  0.175603
2021-09-10 16:32:33.127859 : Epoch  1, Batch    318, Loss  0.864842, Average Loss  0.933707, Time  0.171745
2021-09-10 16:32:34.713955 : Epoch  1, Batch    319, Loss  0.859737, Average Loss  0.932310, Time  0.177655
2021-09-10 16:32:36.284962 : Epoch  1, Batch    320, Loss  0.914102, Average Loss  0.931260, Time  0.171872
2021-09-10 16:32:37.864595 : Epoch  1, Batch    321, Loss  0.896299, Average Loss  0.930395, Time  0.176372
2021-09-10 16:32:39.455143 : Epoch  1, Batch    322, Loss  0.888522, Average Loss  0.929428, Time  0.176719
2021-09-10 16:32:41.047082 : Epoch  1, Batch    323, Loss  0.907938, Average Loss  0.928642, Time  0.184540
2021-09-10 16:32:42.652853 : Epoch  1, Batch    324, Loss  0.870286, Average Loss  0.927588, Time  0.172115
2021-09-10 16:32:44.241838 : Epoch  1, Batch    325, Loss  0.905655, Average Loss  0.926775, Time  0.176547
2021-09-10 16:32:45.820873 : Epoch  1, Batch    326, Loss  0.915149, Average Loss  0.926055, Time  0.172077
2021-09-10 16:32:47.420822 : Epoch  1, Batch    327, Loss  0.912240, Average Loss  0.925288, Time  0.175250
2021-09-10 16:32:49.019096 : Epoch  1, Batch    328, Loss  0.912003, Average Loss  0.924583, Time  0.172937
2021-09-10 16:32:50.596803 : Epoch  1, Batch    329, Loss  0.883919, Average Loss  0.923803, Time  0.175536
2021-09-10 16:32:52.196062 : Epoch  1, Batch    330, Loss  0.885486, Average Loss  0.922869, Time  0.171921
2021-09-10 16:32:53.774652 : Epoch  1, Batch    331, Loss  0.862885, Average Loss  0.921911, Time  0.173433
2021-09-10 16:32:55.368781 : Epoch  1, Batch    332, Loss  0.891035, Average Loss  0.921127, Time  0.177781
2021-09-10 16:32:56.966080 : Epoch  1, Batch    333, Loss  0.892679, Average Loss  0.920321, Time  0.171529
2021-09-10 16:32:58.549070 : Epoch  1, Batch    334, Loss  0.924179, Average Loss  0.919757, Time  0.171952
2021-09-10 16:33:00.172777 : Epoch  1, Batch    335, Loss  0.871850, Average Loss  0.918896, Time  0.175675
2021-09-10 16:33:01.780885 : Epoch  1, Batch    336, Loss  0.873386, Average Loss  0.918040, Time  0.176535
2021-09-10 16:33:03.378785 : Epoch  1, Batch    337, Loss  0.898305, Average Loss  0.917429, Time  0.172745
2021-09-10 16:33:05.014080 : Epoch  1, Batch    338, Loss  0.901895, Average Loss  0.916671, Time  0.173906
2021-09-10 16:33:06.622828 : Epoch  1, Batch    339, Loss  0.871492, Average Loss  0.916013, Time  0.175571
2021-09-10 16:33:08.221818 : Epoch  1, Batch    340, Loss  0.887005, Average Loss  0.915316, Time  0.174518
2021-09-10 16:33:09.799773 : Epoch  1, Batch    341, Loss  0.925835, Average Loss  0.914911, Time  0.175780
2021-09-10 16:33:11.387373 : Epoch  1, Batch    342, Loss  0.877672, Average Loss  0.914242, Time  0.175003
2021-09-10 16:33:13.000024 : Epoch  1, Batch    343, Loss  0.873774, Average Loss  0.913430, Time  0.192092
2021-09-10 16:33:14.602077 : Epoch  1, Batch    344, Loss  0.933822, Average Loss  0.913182, Time  0.172829
2021-09-10 16:33:16.201823 : Epoch  1, Batch    345, Loss  0.879014, Average Loss  0.912668, Time  0.181278
2021-09-10 16:33:17.802855 : Epoch  1, Batch    346, Loss  0.879328, Average Loss  0.912141, Time  0.182046
2021-09-10 16:33:19.382857 : Epoch  1, Batch    347, Loss  0.882397, Average Loss  0.911559, Time  0.173833
2021-09-10 16:33:20.995064 : Epoch  1, Batch    348, Loss  0.868640, Average Loss  0.911255, Time  0.173881
2021-09-10 16:33:22.586331 : Epoch  1, Batch    349, Loss  0.905736, Average Loss  0.910858, Time  0.176700
2021-09-10 16:33:24.190087 : Epoch  1, Batch    350, Loss  0.901793, Average Loss  0.910571, Time  0.171851
2021-09-10 16:33:25.784134 : Epoch  1, Batch    351, Loss  0.880299, Average Loss  0.910178, Time  0.175660
2021-09-10 16:33:27.379060 : Epoch  1, Batch    352, Loss  0.911668, Average Loss  0.910060, Time  0.172850
2021-09-10 16:33:28.974764 : Epoch  1, Batch    353, Loss  0.900415, Average Loss  0.909813, Time  0.177170
2021-09-10 16:33:30.580856 : Epoch  1, Batch    354, Loss  0.888407, Average Loss  0.909407, Time  0.172655
2021-09-10 16:33:32.186795 : Epoch  1, Batch    355, Loss  0.850213, Average Loss  0.908732, Time  0.181725
2021-09-10 16:33:33.794552 : Epoch  1, Batch    356, Loss  0.898004, Average Loss  0.908348, Time  0.173370
2021-09-10 16:33:35.385324 : Epoch  1, Batch    357, Loss  0.903424, Average Loss  0.908068, Time  0.174963
2021-09-10 16:33:36.964072 : Epoch  1, Batch    358, Loss  0.902526, Average Loss  0.907964, Time  0.176822
2021-09-10 16:33:38.572071 : Epoch  1, Batch    359, Loss  0.923480, Average Loss  0.907791, Time  0.171373
2021-09-10 16:33:40.190775 : Epoch  1, Batch    360, Loss  0.870438, Average Loss  0.907439, Time  0.171965
2021-09-10 16:33:41.799800 : Epoch  1, Batch    361, Loss  0.855516, Average Loss  0.906778, Time  0.179228
2021-09-10 16:33:43.443820 : Epoch  1, Batch    362, Loss  0.882403, Average Loss  0.906331, Time  0.175035
2021-09-10 16:33:45.035083 : Epoch  1, Batch    363, Loss  0.908491, Average Loss  0.906007, Time  0.180185
2021-09-10 16:33:46.613816 : Epoch  1, Batch    364, Loss  0.857021, Average Loss  0.905564, Time  0.171930
2021-09-10 16:33:48.197810 : Epoch  1, Batch    365, Loss  0.879393, Average Loss  0.905292, Time  0.175729
2021-09-10 16:33:49.783847 : Epoch  1, Batch    366, Loss  0.899860, Average Loss  0.904961, Time  0.182396
2021-09-10 16:33:51.373080 : Epoch  1, Batch    367, Loss  0.905869, Average Loss  0.904800, Time  0.172074
2021-09-10 16:33:52.965906 : Epoch  1, Batch    368, Loss  0.891656, Average Loss  0.904598, Time  0.171489
2021-09-10 16:33:54.554075 : Epoch  1, Batch    369, Loss  0.896239, Average Loss  0.904396, Time  0.172498
2021-09-10 16:33:56.182792 : Epoch  1, Batch    370, Loss  0.865503, Average Loss  0.904208, Time  0.173110
2021-09-10 16:33:57.771841 : Epoch  1, Batch    371, Loss  0.906520, Average Loss  0.904084, Time  0.171807
2021-09-10 16:33:59.381777 : Epoch  1, Batch    372, Loss  0.869795, Average Loss  0.903697, Time  0.171685
2021-09-10 16:34:01.009063 : Epoch  1, Batch    373, Loss  0.927413, Average Loss  0.903654, Time  0.171461
2021-09-10 16:34:02.623797 : Epoch  1, Batch    374, Loss  0.906974, Average Loss  0.903431, Time  0.174748
2021-09-10 16:34:04.218776 : Epoch  1, Batch    375, Loss  0.880366, Average Loss  0.903215, Time  0.173730
2021-09-10 16:34:05.814088 : Epoch  1, Batch    376, Loss  0.873637, Average Loss  0.903040, Time  0.171537
2021-09-10 16:34:07.426757 : Epoch  1, Batch    377, Loss  0.903198, Average Loss  0.902991, Time  0.176580
2021-09-10 16:34:09.016174 : Epoch  1, Batch    378, Loss  0.893611, Average Loss  0.902684, Time  0.178002
2021-09-10 16:34:10.605063 : Epoch  1, Batch    379, Loss  0.917070, Average Loss  0.902530, Time  0.172556
2021-09-10 16:34:12.216758 : Epoch  1, Batch    380, Loss  0.894292, Average Loss  0.902394, Time  0.175324
2021-09-10 16:34:13.829107 : Epoch  1, Batch    381, Loss  0.910506, Average Loss  0.902348, Time  0.176140
2021-09-10 16:34:15.434446 : Epoch  1, Batch    382, Loss  0.894234, Average Loss  0.902205, Time  0.175819
2021-09-10 16:34:17.029060 : Epoch  1, Batch    383, Loss  0.889417, Average Loss  0.901943, Time  0.176914
2021-09-10 16:34:18.627168 : Epoch  1, Batch    384, Loss  0.860664, Average Loss  0.901667, Time  0.171044
2021-09-10 16:34:20.216755 : Epoch  1, Batch    385, Loss  0.885046, Average Loss  0.901483, Time  0.175298
2021-09-10 16:34:21.852075 : Epoch  1, Batch    386, Loss  0.851189, Average Loss  0.901061, Time  0.172009
2021-09-10 16:34:23.442898 : Epoch  1, Batch    387, Loss  0.908439, Average Loss  0.901032, Time  0.171903
2021-09-10 16:34:25.030986 : Epoch  1, Batch    388, Loss  0.879386, Average Loss  0.900894, Time  0.175123
2021-09-10 16:34:26.603065 : Epoch  1, Batch    389, Loss  0.917352, Average Loss  0.900734, Time  0.172086
2021-09-10 16:34:28.200071 : Epoch  1, Batch    390, Loss  0.919741, Average Loss  0.900699, Time  0.179000
2021-09-10 16:34:29.784055 : Epoch  1, Batch    391, Loss  0.897371, Average Loss  0.900749, Time  0.177214
2021-09-10 16:34:31.371816 : Epoch  1, Batch    392, Loss  0.914081, Average Loss  0.900650, Time  0.176428
2021-09-10 16:34:32.988068 : Epoch  1, Batch    393, Loss  0.892389, Average Loss  0.900551, Time  0.174519
2021-09-10 16:34:34.590077 : Epoch  1, Batch    394, Loss  0.850324, Average Loss  0.900082, Time  0.171524
2021-09-10 16:34:36.183511 : Epoch  1, Batch    395, Loss  0.886696, Average Loss  0.899803, Time  0.172487
2021-09-10 16:34:37.772779 : Epoch  1, Batch    396, Loss  0.894404, Average Loss  0.899760, Time  0.176141
2021-09-10 16:34:39.363859 : Epoch  1, Batch    397, Loss  0.889071, Average Loss  0.899658, Time  0.171321
2021-09-10 16:34:40.984082 : Epoch  1, Batch    398, Loss  0.916248, Average Loss  0.899564, Time  0.181462
2021-09-10 16:34:42.590905 : Epoch  1, Batch    399, Loss  0.877298, Average Loss  0.899449, Time  0.179126
2021-09-10 16:34:44.173784 : Epoch  1, Batch    400, Loss  0.897368, Average Loss  0.899194, Time  0.172119
2021-09-10 16:39:28.536729 : CheckPoint: Validation Loss  0.00063207, Best Loss  0.00061489
2021-09-10 16:39:30.153975 : Epoch  1, Batch    401, Loss  0.918185, Average Loss  0.899287, Time  0.180935
2021-09-10 16:39:31.745958 : Epoch  1, Batch    402, Loss  0.920822, Average Loss  0.899290, Time  0.175548
2021-09-10 16:39:33.348034 : Epoch  1, Batch    403, Loss  0.858905, Average Loss  0.898993, Time  0.175358
2021-09-10 16:39:34.931054 : Epoch  1, Batch    404, Loss  0.872201, Average Loss  0.898852, Time  0.171829
2021-09-10 16:39:36.524045 : Epoch  1, Batch    405, Loss  0.880292, Average Loss  0.898712, Time  0.173687
2021-09-10 16:39:38.112065 : Epoch  1, Batch    406, Loss  0.897853, Average Loss  0.898658, Time  0.177907
2021-09-10 16:39:39.719049 : Epoch  1, Batch    407, Loss  0.913411, Average Loss  0.898587, Time  0.175833
2021-09-10 16:39:41.314075 : Epoch  1, Batch    408, Loss  0.850033, Average Loss  0.898286, Time  0.175822
2021-09-10 16:39:42.894848 : Epoch  1, Batch    409, Loss  0.892481, Average Loss  0.898228, Time  0.175496
2021-09-10 16:39:44.486069 : Epoch  1, Batch    410, Loss  0.860931, Average Loss  0.897794, Time  0.171707
2021-09-10 16:39:46.065989 : Epoch  1, Batch    411, Loss  0.877898, Average Loss  0.897628, Time  0.177004
2021-09-10 16:39:47.660077 : Epoch  1, Batch    412, Loss  0.868920, Average Loss  0.897521, Time  0.172393
2021-09-10 16:39:49.250156 : Epoch  1, Batch    413, Loss  0.881227, Average Loss  0.897362, Time  0.174750
2021-09-10 16:39:50.853078 : Epoch  1, Batch    414, Loss  0.897179, Average Loss  0.897318, Time  0.172072
2021-09-10 16:39:52.447016 : Epoch  1, Batch    415, Loss  0.843943, Average Loss  0.896969, Time  0.173084
2021-09-10 16:39:54.043936 : Epoch  1, Batch    416, Loss  0.851402, Average Loss  0.896526, Time  0.175460
2021-09-10 16:39:55.626785 : Epoch  1, Batch    417, Loss  0.879107, Average Loss  0.896347, Time  0.171872
2021-09-10 16:39:57.236886 : Epoch  1, Batch    418, Loss  0.880767, Average Loss  0.896161, Time  0.171710
2021-09-10 16:39:58.832763 : Epoch  1, Batch    419, Loss  0.903508, Average Loss  0.896073, Time  0.172064
2021-09-10 16:40:00.433085 : Epoch  1, Batch    420, Loss  0.899012, Average Loss  0.896050, Time  0.180309
2021-09-10 16:40:02.009784 : Epoch  1, Batch    421, Loss  0.900933, Average Loss  0.895935, Time  0.171818
2021-09-10 16:40:03.587077 : Epoch  1, Batch    422, Loss  0.908062, Average Loss  0.895817, Time  0.174170
2021-09-10 16:40:05.173836 : Epoch  1, Batch    423, Loss  0.872210, Average Loss  0.895510, Time  0.172313
2021-09-10 16:40:06.816069 : Epoch  1, Batch    424, Loss  0.908458, Average Loss  0.895475, Time  0.174837
2021-09-10 16:40:08.425896 : Epoch  1, Batch    425, Loss  0.880078, Average Loss  0.895414, Time  0.172700
2021-09-10 16:40:10.038158 : Epoch  1, Batch    426, Loss  0.888932, Average Loss  0.895597, Time  0.175548
2021-09-10 16:40:11.630754 : Epoch  1, Batch    427, Loss  0.872900, Average Loss  0.895342, Time  0.181615
2021-09-10 16:40:13.222059 : Epoch  1, Batch    428, Loss  0.889249, Average Loss  0.895237, Time  0.179622
2021-09-10 16:40:14.834070 : Epoch  1, Batch    429, Loss  0.896274, Average Loss  0.895152, Time  0.180114
2021-09-10 16:40:16.426934 : Epoch  1, Batch    430, Loss  0.866711, Average Loss  0.894942, Time  0.172008
2021-09-10 16:40:18.038066 : Epoch  1, Batch    431, Loss  0.886505, Average Loss  0.894719, Time  0.173066
2021-09-10 16:40:19.650321 : Epoch  1, Batch    432, Loss  0.865747, Average Loss  0.894492, Time  0.174471
2021-09-10 16:40:21.248070 : Epoch  1, Batch    433, Loss  0.892959, Average Loss  0.894372, Time  0.171657
2021-09-10 16:40:22.872864 : Epoch  1, Batch    434, Loss  0.910965, Average Loss  0.894396, Time  0.174838
2021-09-10 16:40:24.441838 : Epoch  1, Batch    435, Loss  0.882732, Average Loss  0.894122, Time  0.171859
2021-09-10 16:40:26.034809 : Epoch  1, Batch    436, Loss  0.918560, Average Loss  0.894190, Time  0.172539
2021-09-10 16:40:27.636839 : Epoch  1, Batch    437, Loss  0.877315, Average Loss  0.894102, Time  0.181218
2021-09-10 16:40:29.260788 : Epoch  1, Batch    438, Loss  0.860240, Average Loss  0.893880, Time  0.171898
2021-09-10 16:40:30.881894 : Epoch  1, Batch    439, Loss  0.867719, Average Loss  0.893695, Time  0.182330
2021-09-10 16:40:32.503804 : Epoch  1, Batch    440, Loss  0.880294, Average Loss  0.893561, Time  0.176214
2021-09-10 16:40:34.090104 : Epoch  1, Batch    441, Loss  0.891326, Average Loss  0.893575, Time  0.173813
2021-09-10 16:40:35.703794 : Epoch  1, Batch    442, Loss  0.914828, Average Loss  0.893799, Time  0.171722
2021-09-10 16:40:37.327862 : Epoch  1, Batch    443, Loss  0.924912, Average Loss  0.893884, Time  0.180468
2021-09-10 16:40:38.945077 : Epoch  1, Batch    444, Loss  0.873858, Average Loss  0.893471, Time  0.172365
2021-09-10 16:40:40.554783 : Epoch  1, Batch    445, Loss  0.880542, Average Loss  0.893272, Time  0.177831
2021-09-10 16:40:42.145058 : Epoch  1, Batch    446, Loss  0.894888, Average Loss  0.893122, Time  0.174536
2021-09-10 16:40:43.734773 : Epoch  1, Batch    447, Loss  0.890976, Average Loss  0.893228, Time  0.172052
2021-09-10 16:40:45.334069 : Epoch  1, Batch    448, Loss  0.902253, Average Loss  0.893185, Time  0.171568
2021-09-10 16:40:46.943070 : Epoch  1, Batch    449, Loss  0.902745, Average Loss  0.893300, Time  0.171600
2021-09-10 16:40:48.546884 : Epoch  1, Batch    450, Loss  0.880924, Average Loss  0.893219, Time  0.174268
2021-09-10 16:40:50.192064 : Epoch  1, Batch    451, Loss  0.874480, Average Loss  0.892978, Time  0.176434
2021-09-10 16:40:51.823055 : Epoch  1, Batch    452, Loss  0.889189, Average Loss  0.892930, Time  0.171730
2021-09-10 16:40:53.446856 : Epoch  1, Batch    453, Loss  0.865720, Average Loss  0.892609, Time  0.172211
2021-09-10 16:40:55.093938 : Epoch  1, Batch    454, Loss  0.886545, Average Loss  0.892522, Time  0.183726
2021-09-10 16:40:56.696834 : Epoch  1, Batch    455, Loss  0.855028, Average Loss  0.892365, Time  0.176357
2021-09-10 16:40:58.307809 : Epoch  1, Batch    456, Loss  0.884700, Average Loss  0.892252, Time  0.174608
2021-09-10 16:40:59.915043 : Epoch  1, Batch    457, Loss  0.848589, Average Loss  0.892081, Time  0.171116
2021-09-10 16:41:01.526033 : Epoch  1, Batch    458, Loss  0.892896, Average Loss  0.891889, Time  0.171390
2021-09-10 16:41:03.147762 : Epoch  1, Batch    459, Loss  0.886631, Average Loss  0.891810, Time  0.171294
2021-09-10 16:41:04.774024 : Epoch  1, Batch    460, Loss  0.874376, Average Loss  0.891693, Time  0.171442
2021-09-10 16:41:06.382806 : Epoch  1, Batch    461, Loss  0.888032, Average Loss  0.891594, Time  0.171232
2021-09-10 16:41:07.987068 : Epoch  1, Batch    462, Loss  0.870906, Average Loss  0.891447, Time  0.172461
2021-09-10 16:41:09.583764 : Epoch  1, Batch    463, Loss  0.901365, Average Loss  0.891599, Time  0.173873
2021-09-10 16:41:11.192068 : Epoch  1, Batch    464, Loss  0.848012, Average Loss  0.891407, Time  0.172446
2021-09-10 16:41:12.789801 : Epoch  1, Batch    465, Loss  0.886938, Average Loss  0.891332, Time  0.176191
2021-09-10 16:41:14.385069 : Epoch  1, Batch    466, Loss  0.909884, Average Loss  0.891438, Time  0.171736
2021-09-10 16:41:15.972915 : Epoch  1, Batch    467, Loss  0.917340, Average Loss  0.891481, Time  0.176367
2021-09-10 16:41:17.586945 : Epoch  1, Batch    468, Loss  0.864840, Average Loss  0.891307, Time  0.174279
2021-09-10 16:41:19.186065 : Epoch  1, Batch    469, Loss  0.905171, Average Loss  0.891285, Time  0.172545
2021-09-10 16:41:20.803106 : Epoch  1, Batch    470, Loss  0.894062, Average Loss  0.891181, Time  0.175239
2021-09-10 16:41:22.382406 : Epoch  1, Batch    471, Loss  0.850496, Average Loss  0.891036, Time  0.171790
2021-09-10 16:41:23.976891 : Epoch  1, Batch    472, Loss  0.842841, Average Loss  0.890722, Time  0.179212
2021-09-10 16:41:25.551645 : Epoch  1, Batch    473, Loss  0.855366, Average Loss  0.890551, Time  0.172199
2021-09-10 16:41:27.123064 : Epoch  1, Batch    474, Loss  0.853877, Average Loss  0.890389, Time  0.171393
2021-09-10 16:41:28.716745 : Epoch  1, Batch    475, Loss  0.891008, Average Loss  0.890316, Time  0.172680
2021-09-10 16:41:30.320926 : Epoch  1, Batch    476, Loss  0.914758, Average Loss  0.890327, Time  0.177784
2021-09-10 16:41:31.905791 : Epoch  1, Batch    477, Loss  0.877428, Average Loss  0.890291, Time  0.171726
2021-09-10 16:41:33.523858 : Epoch  1, Batch    478, Loss  0.901596, Average Loss  0.890290, Time  0.173711
2021-09-10 16:41:35.145804 : Epoch  1, Batch    479, Loss  0.851408, Average Loss  0.889880, Time  0.178039
2021-09-10 16:41:36.749074 : Epoch  1, Batch    480, Loss  0.872788, Average Loss  0.889812, Time  0.172004
2021-09-10 16:41:38.358947 : Epoch  1, Batch    481, Loss  0.876179, Average Loss  0.889744, Time  0.174656
2021-09-10 16:41:39.960066 : Epoch  1, Batch    482, Loss  0.852051, Average Loss  0.889529, Time  0.173474
2021-09-10 16:41:41.572826 : Epoch  1, Batch    483, Loss  0.853797, Average Loss  0.889285, Time  0.182246
2021-09-10 16:41:43.170055 : Epoch  1, Batch    484, Loss  0.852957, Average Loss  0.889206, Time  0.172244
2021-09-10 16:41:44.777079 : Epoch  1, Batch    485, Loss  0.887615, Average Loss  0.889101, Time  0.174987
2021-09-10 16:41:46.395066 : Epoch  1, Batch    486, Loss  0.879140, Average Loss  0.888920, Time  0.171223
2021-09-10 16:41:48.013850 : Epoch  1, Batch    487, Loss  0.914131, Average Loss  0.888857, Time  0.174514
2021-09-10 16:41:49.597069 : Epoch  1, Batch    488, Loss  0.894517, Average Loss  0.888752, Time  0.173677
2021-09-10 16:41:51.226806 : Epoch  1, Batch    489, Loss  0.917115, Average Loss  0.888615, Time  0.172339
2021-09-10 16:41:52.802078 : Epoch  1, Batch    490, Loss  0.914101, Average Loss  0.888663, Time  0.171286
2021-09-10 16:41:54.382893 : Epoch  1, Batch    491, Loss  0.897926, Average Loss  0.888554, Time  0.176359
2021-09-10 16:41:55.985145 : Epoch  1, Batch    492, Loss  0.920057, Average Loss  0.888733, Time  0.184666
2021-09-10 16:41:57.572815 : Epoch  1, Batch    493, Loss  0.863119, Average Loss  0.888649, Time  0.178610
2021-09-10 16:41:59.168757 : Epoch  1, Batch    494, Loss  0.900522, Average Loss  0.888560, Time  0.180578
2021-09-10 16:42:00.770078 : Epoch  1, Batch    495, Loss  0.894044, Average Loss  0.888565, Time  0.171383
2021-09-10 16:42:02.374462 : Epoch  1, Batch    496, Loss  0.851179, Average Loss  0.888269, Time  0.171374
2021-09-10 16:42:03.985765 : Epoch  1, Batch    497, Loss  0.870461, Average Loss  0.888146, Time  0.176861
2021-09-10 16:42:05.586029 : Epoch  1, Batch    498, Loss  0.861105, Average Loss  0.887873, Time  0.174374
2021-09-10 16:42:07.195766 : Epoch  1, Batch    499, Loss  0.918327, Average Loss  0.887958, Time  0.199280
2021-09-10 16:42:08.784063 : Epoch  1, Batch    500, Loss  0.879024, Average Loss  0.887905, Time  0.171348
2021-09-10 16:46:53.262729 : CheckPoint: Validation Loss  0.00062015, Best Loss  0.00061489
2021-09-10 16:46:54.881540 : Epoch  1, Batch    501, Loss  0.886349, Average Loss  0.887702, Time  0.185550
2021-09-10 16:46:56.470839 : Epoch  1, Batch    502, Loss  0.909723, Average Loss  0.887877, Time  0.171859
2021-09-10 16:46:58.071775 : Epoch  1, Batch    503, Loss  0.898556, Average Loss  0.888071, Time  0.177363
2021-09-10 16:46:59.689061 : Epoch  1, Batch    504, Loss  0.873539, Average Loss  0.887964, Time  0.176787
2021-09-10 16:47:01.286054 : Epoch  1, Batch    505, Loss  0.870671, Average Loss  0.888007, Time  0.174135
2021-09-10 16:47:02.894073 : Epoch  1, Batch    506, Loss  0.858982, Average Loss  0.887803, Time  0.179003
2021-09-10 16:47:04.503080 : Epoch  1, Batch    507, Loss  0.912897, Average Loss  0.887958, Time  0.172056
2021-09-10 16:47:06.124073 : Epoch  1, Batch    508, Loss  0.889255, Average Loss  0.887889, Time  0.171770
2021-09-10 16:47:07.745761 : Epoch  1, Batch    509, Loss  0.900357, Average Loss  0.887805, Time  0.174836
2021-09-10 16:47:09.333457 : Epoch  1, Batch    510, Loss  0.895104, Average Loss  0.887853, Time  0.171957
2021-09-10 16:47:10.921302 : Epoch  1, Batch    511, Loss  0.926619, Average Loss  0.888058, Time  0.171779
2021-09-10 16:47:12.524383 : Epoch  1, Batch    512, Loss  0.856839, Average Loss  0.887785, Time  0.174930
2021-09-10 16:47:14.125040 : Epoch  1, Batch    513, Loss  0.845705, Average Loss  0.887500, Time  0.172451
2021-09-10 16:47:15.738781 : Epoch  1, Batch    514, Loss  0.876539, Average Loss  0.887400, Time  0.174344
2021-09-10 16:47:17.345210 : Epoch  1, Batch    515, Loss  0.870623, Average Loss  0.887299, Time  0.173082
2021-09-10 16:47:18.951031 : Epoch  1, Batch    516, Loss  0.881705, Average Loss  0.887229, Time  0.171515
2021-09-10 16:47:20.561040 : Epoch  1, Batch    517, Loss  0.889817, Average Loss  0.887115, Time  0.173777
2021-09-10 16:47:22.152790 : Epoch  1, Batch    518, Loss  0.890363, Average Loss  0.887242, Time  0.175194
2021-09-10 16:47:23.740901 : Epoch  1, Batch    519, Loss  0.874112, Average Loss  0.887314, Time  0.175116
2021-09-10 16:47:25.322963 : Epoch  1, Batch    520, Loss  0.861020, Average Loss  0.887049, Time  0.171556
2021-09-10 16:47:26.920947 : Epoch  1, Batch    521, Loss  0.862571, Average Loss  0.886880, Time  0.171465
2021-09-10 16:47:28.529038 : Epoch  1, Batch    522, Loss  0.897597, Average Loss  0.886925, Time  0.171617
2021-09-10 16:47:30.151758 : Epoch  1, Batch    523, Loss  0.880697, Average Loss  0.886789, Time  0.171753
2021-09-10 16:47:31.773041 : Epoch  1, Batch    524, Loss  0.891910, Average Loss  0.886897, Time  0.171337
2021-09-10 16:47:33.397767 : Epoch  1, Batch    525, Loss  0.876430, Average Loss  0.886751, Time  0.171587
2021-09-10 16:47:35.021054 : Epoch  1, Batch    526, Loss  0.882234, Average Loss  0.886587, Time  0.171022
2021-09-10 16:47:36.646811 : Epoch  1, Batch    527, Loss  0.874404, Average Loss  0.886397, Time  0.171397
2021-09-10 16:47:38.294033 : Epoch  1, Batch    528, Loss  0.863015, Average Loss  0.886152, Time  0.171772
2021-09-10 16:47:39.915044 : Epoch  1, Batch    529, Loss  0.909540, Average Loss  0.886281, Time  0.171510
2021-09-10 16:47:41.542841 : Epoch  1, Batch    530, Loss  0.909084, Average Loss  0.886399, Time  0.171435
2021-09-10 16:47:43.166838 : Epoch  1, Batch    531, Loss  0.872470, Average Loss  0.886446, Time  0.172593
2021-09-10 16:47:44.806800 : Epoch  1, Batch    532, Loss  0.889369, Average Loss  0.886438, Time  0.174398
2021-09-10 16:47:46.415197 : Epoch  1, Batch    533, Loss  0.870462, Average Loss  0.886327, Time  0.174234
2021-09-10 16:47:48.013069 : Epoch  1, Batch    534, Loss  0.871910, Average Loss  0.886066, Time  0.171617
2021-09-10 16:47:49.631791 : Epoch  1, Batch    535, Loss  0.881366, Average Loss  0.886113, Time  0.176224
2021-09-10 16:47:51.224081 : Epoch  1, Batch    536, Loss  0.876383, Average Loss  0.886128, Time  0.175153
2021-09-10 16:47:52.819030 : Epoch  1, Batch    537, Loss  0.889297, Average Loss  0.886083, Time  0.171389
2021-09-10 16:47:54.493903 : Epoch  1, Batch    538, Loss  0.879200, Average Loss  0.885970, Time  0.171980
2021-09-10 16:47:56.116875 : Epoch  1, Batch    539, Loss  0.854632, Average Loss  0.885885, Time  0.171825
2021-09-10 16:47:57.741068 : Epoch  1, Batch    540, Loss  0.877291, Average Loss  0.885837, Time  0.171951
2021-09-10 16:47:59.347971 : Epoch  1, Batch    541, Loss  0.862245, Average Loss  0.885519, Time  0.171688
2021-09-10 16:48:00.961942 : Epoch  1, Batch    542, Loss  0.856941, Average Loss  0.885415, Time  0.171476
2021-09-10 16:48:02.584041 : Epoch  1, Batch    543, Loss  0.914513, Average Loss  0.885619, Time  0.171469
2021-09-10 16:48:04.213787 : Epoch  1, Batch    544, Loss  0.876018, Average Loss  0.885330, Time  0.171633
2021-09-10 16:48:05.820892 : Epoch  1, Batch    545, Loss  0.891176, Average Loss  0.885391, Time  0.174170
2021-09-10 16:48:07.433071 : Epoch  1, Batch    546, Loss  0.885136, Average Loss  0.885420, Time  0.178098
2021-09-10 16:48:09.027764 : Epoch  1, Batch    547, Loss  0.872243, Average Loss  0.885369, Time  0.171930
2021-09-10 16:48:10.674812 : Epoch  1, Batch    548, Loss  0.861859, Average Loss  0.885335, Time  0.171669
2021-09-10 16:48:12.354886 : Epoch  1, Batch    549, Loss  0.877613, Average Loss  0.885195, Time  0.171509
2021-09-10 16:48:13.961062 : Epoch  1, Batch    550, Loss  0.888739, Average Loss  0.885129, Time  0.171410
2021-09-10 16:48:15.580766 : Epoch  1, Batch    551, Loss  0.852270, Average Loss  0.884989, Time  0.171338
2021-09-10 16:48:17.219031 : Epoch  1, Batch    552, Loss  0.901697, Average Loss  0.884939, Time  0.171571
2021-09-10 16:48:18.837763 : Epoch  1, Batch    553, Loss  0.888006, Average Loss  0.884877, Time  0.171485
2021-09-10 16:48:20.454880 : Epoch  1, Batch    554, Loss  0.881737, Average Loss  0.884844, Time  0.176446
2021-09-10 16:48:22.038813 : Epoch  1, Batch    555, Loss  0.852603, Average Loss  0.884856, Time  0.171175
2021-09-10 16:48:23.618187 : Epoch  1, Batch    556, Loss  0.875505, Average Loss  0.884743, Time  0.175544
2021-09-10 16:48:25.201840 : Epoch  1, Batch    557, Loss  0.889674, Average Loss  0.884675, Time  0.171258
2021-09-10 16:48:26.794069 : Epoch  1, Batch    558, Loss  0.894833, Average Loss  0.884636, Time  0.177501
2021-09-10 16:48:28.410831 : Epoch  1, Batch    559, Loss  0.882949, Average Loss  0.884433, Time  0.182048
2021-09-10 16:48:30.041072 : Epoch  1, Batch    560, Loss  0.850108, Average Loss  0.884332, Time  0.171439
2021-09-10 16:48:31.649864 : Epoch  1, Batch    561, Loss  0.866455, Average Loss  0.884387, Time  0.174462
2021-09-10 16:48:33.259810 : Epoch  1, Batch    562, Loss  0.908813, Average Loss  0.884519, Time  0.172070
2021-09-10 16:48:34.881847 : Epoch  1, Batch    563, Loss  0.863534, Average Loss  0.884294, Time  0.171432
2021-09-10 16:48:36.507045 : Epoch  1, Batch    564, Loss  0.902036, Average Loss  0.884519, Time  0.171325
2021-09-10 16:48:38.132919 : Epoch  1, Batch    565, Loss  0.901112, Average Loss  0.884627, Time  0.171544
2021-09-10 16:48:39.726771 : Epoch  1, Batch    566, Loss  0.888494, Average Loss  0.884571, Time  0.171457
2021-09-10 16:48:41.332717 : Epoch  1, Batch    567, Loss  0.877769, Average Loss  0.884430, Time  0.171254
2021-09-10 16:48:42.907822 : Epoch  1, Batch    568, Loss  0.914067, Average Loss  0.884542, Time  0.172164
2021-09-10 16:48:44.517934 : Epoch  1, Batch    569, Loss  0.869264, Average Loss  0.884407, Time  0.171584
2021-09-10 16:48:46.139048 : Epoch  1, Batch    570, Loss  0.863858, Average Loss  0.884399, Time  0.171321
2021-09-10 16:48:47.776831 : Epoch  1, Batch    571, Loss  0.865362, Average Loss  0.884193, Time  0.182108
2021-09-10 16:48:49.376856 : Epoch  1, Batch    572, Loss  0.886447, Average Loss  0.884277, Time  0.175682
2021-09-10 16:48:50.986859 : Epoch  1, Batch    573, Loss  0.867612, Average Loss  0.883978, Time  0.177992
2021-09-10 16:48:52.585040 : Epoch  1, Batch    574, Loss  0.893731, Average Loss  0.883911, Time  0.173252
2021-09-10 16:48:54.218781 : Epoch  1, Batch    575, Loss  0.870849, Average Loss  0.883864, Time  0.171062
2021-09-10 16:48:55.862780 : Epoch  1, Batch    576, Loss  0.881312, Average Loss  0.883902, Time  0.171500
2021-09-10 16:48:57.453786 : Epoch  1, Batch    577, Loss  0.871520, Average Loss  0.883744, Time  0.174898
2021-09-10 16:48:59.062056 : Epoch  1, Batch    578, Loss  0.902657, Average Loss  0.883789, Time  0.172314
2021-09-10 16:49:00.687770 : Epoch  1, Batch    579, Loss  0.882327, Average Loss  0.883615, Time  0.171458
2021-09-10 16:49:02.311790 : Epoch  1, Batch    580, Loss  0.901124, Average Loss  0.883649, Time  0.171297
2021-09-10 16:49:03.928833 : Epoch  1, Batch    581, Loss  0.868286, Average Loss  0.883438, Time  0.171360
2021-09-10 16:49:05.562028 : Epoch  1, Batch    582, Loss  0.863743, Average Loss  0.883286, Time  0.171423
2021-09-10 16:49:07.184824 : Epoch  1, Batch    583, Loss  0.872636, Average Loss  0.883202, Time  0.172528
2021-09-10 16:49:08.789883 : Epoch  1, Batch    584, Loss  0.879843, Average Loss  0.883298, Time  0.172216
2021-09-10 16:49:10.402844 : Epoch  1, Batch    585, Loss  0.892615, Average Loss  0.883336, Time  0.172084
2021-09-10 16:49:12.029762 : Epoch  1, Batch    586, Loss  0.935402, Average Loss  0.883757, Time  0.176924
2021-09-10 16:49:13.682864 : Epoch  1, Batch    587, Loss  0.861351, Average Loss  0.883521, Time  0.171339
2021-09-10 16:49:15.285861 : Epoch  1, Batch    588, Loss  0.868019, Average Loss  0.883464, Time  0.171968
2021-09-10 16:49:16.887076 : Epoch  1, Batch    589, Loss  0.856941, Average Loss  0.883162, Time  0.174262
2021-09-10 16:49:18.495045 : Epoch  1, Batch    590, Loss  0.859558, Average Loss  0.882861, Time  0.171508
2021-09-10 16:49:20.117779 : Epoch  1, Batch    591, Loss  0.861073, Average Loss  0.882680, Time  0.171120
2021-09-10 16:49:21.761773 : Epoch  1, Batch    592, Loss  0.879856, Average Loss  0.882509, Time  0.171419
2021-09-10 16:49:23.363760 : Epoch  1, Batch    593, Loss  0.893123, Average Loss  0.882513, Time  0.171762
2021-09-10 16:49:24.981879 : Epoch  1, Batch    594, Loss  0.894283, Average Loss  0.882732, Time  0.177258
2021-09-10 16:49:26.577076 : Epoch  1, Batch    595, Loss  0.885164, Average Loss  0.882725, Time  0.171580
2021-09-10 16:49:28.166746 : Epoch  1, Batch    596, Loss  0.902328, Average Loss  0.882764, Time  0.171299
2021-09-10 16:49:29.758126 : Epoch  1, Batch    597, Loss  0.891799, Average Loss  0.882778, Time  0.171371
2021-09-10 16:49:31.383074 : Epoch  1, Batch    598, Loss  0.855703, Average Loss  0.882475, Time  0.171803
2021-09-10 16:49:33.006070 : Epoch  1, Batch    599, Loss  0.882430, Average Loss  0.882501, Time  0.177062
2021-09-10 16:49:34.611850 : Epoch  1, Batch    600, Loss  0.861164, Average Loss  0.882320, Time  0.177532
2021-09-10 16:54:18.916732 : CheckPoint: Validation Loss  0.00061528, Best Loss  0.00061489
2021-09-10 16:54:20.545966 : Epoch  1, Batch    601, Loss  0.871944, Average Loss  0.882089, Time  0.179981
2021-09-10 16:54:22.168790 : Epoch  1, Batch    602, Loss  0.852778, Average Loss  0.881748, Time  0.171415
2021-09-10 16:54:23.794796 : Epoch  1, Batch    603, Loss  0.862164, Average Loss  0.881765, Time  0.171516
2021-09-10 16:54:25.415750 : Epoch  1, Batch    604, Loss  0.873632, Average Loss  0.881772, Time  0.171800
2021-09-10 16:54:27.054787 : Epoch  1, Batch    605, Loss  0.869814, Average Loss  0.881719, Time  0.171355
2021-09-10 16:54:28.668894 : Epoch  1, Batch    606, Loss  0.837984, Average Loss  0.881420, Time  0.173003
2021-09-10 16:54:30.302758 : Epoch  1, Batch    607, Loss  0.875628, Average Loss  0.881231, Time  0.171340
2021-09-10 16:54:31.893773 : Epoch  1, Batch    608, Loss  0.861291, Average Loss  0.881288, Time  0.171907
2021-09-10 16:54:33.535842 : Epoch  1, Batch    609, Loss  0.908124, Average Loss  0.881366, Time  0.179116
2021-09-10 16:54:35.142079 : Epoch  1, Batch    610, Loss  0.922415, Average Loss  0.881673, Time  0.177276
2021-09-10 16:54:36.774885 : Epoch  1, Batch    611, Loss  0.901814, Average Loss  0.881793, Time  0.171626
2021-09-10 16:54:38.389070 : Epoch  1, Batch    612, Loss  0.850526, Average Loss  0.881701, Time  0.172678
2021-09-10 16:54:39.991816 : Epoch  1, Batch    613, Loss  0.880768, Average Loss  0.881698, Time  0.171258
2021-09-10 16:54:41.618050 : Epoch  1, Batch    614, Loss  0.868854, Average Loss  0.881557, Time  0.171235
2021-09-10 16:54:43.266942 : Epoch  1, Batch    615, Loss  0.900264, Average Loss  0.881838, Time  0.171801
2021-09-10 16:54:44.894049 : Epoch  1, Batch    616, Loss  0.882994, Average Loss  0.881996, Time  0.171405
2021-09-10 16:54:46.520975 : Epoch  1, Batch    617, Loss  0.885033, Average Loss  0.882026, Time  0.171356
2021-09-10 16:54:48.151035 : Epoch  1, Batch    618, Loss  0.877375, Average Loss  0.882009, Time  0.171290
2021-09-10 16:54:49.765910 : Epoch  1, Batch    619, Loss  0.879194, Average Loss  0.881888, Time  0.174544
2021-09-10 16:54:51.382846 : Epoch  1, Batch    620, Loss  0.903412, Average Loss  0.881910, Time  0.179529
2021-09-10 16:54:52.992783 : Epoch  1, Batch    621, Loss  0.894329, Average Loss  0.881876, Time  0.171914
2021-09-10 16:54:54.610072 : Epoch  1, Batch    622, Loss  0.892579, Average Loss  0.881799, Time  0.172799
2021-09-10 16:54:56.212779 : Epoch  1, Batch    623, Loss  0.901308, Average Loss  0.881945, Time  0.171547
2021-09-10 16:54:57.811038 : Epoch  1, Batch    624, Loss  0.904445, Average Loss  0.881924, Time  0.171207
2021-09-10 16:54:59.409832 : Epoch  1, Batch    625, Loss  0.865922, Average Loss  0.881854, Time  0.171160
2021-09-10 16:55:01.036786 : Epoch  1, Batch    626, Loss  0.875824, Average Loss  0.881788, Time  0.171096
2021-09-10 16:55:02.651062 : Epoch  1, Batch    627, Loss  0.870255, Average Loss  0.881775, Time  0.177767
2021-09-10 16:55:04.265061 : Epoch  1, Batch    628, Loss  0.872576, Average Loss  0.881692, Time  0.174879
2021-09-10 16:55:05.856318 : Epoch  1, Batch    629, Loss  0.890781, Average Loss  0.881664, Time  0.171548
2021-09-10 16:55:07.463072 : Epoch  1, Batch    630, Loss  0.868425, Average Loss  0.881673, Time  0.171572
2021-09-10 16:55:09.067042 : Epoch  1, Batch    631, Loss  0.859977, Average Loss  0.881540, Time  0.171485
2021-09-10 16:55:10.701820 : Epoch  1, Batch    632, Loss  0.880339, Average Loss  0.881613, Time  0.171338
2021-09-10 16:55:12.318076 : Epoch  1, Batch    633, Loss  0.894306, Average Loss  0.881620, Time  0.171263
2021-09-10 16:55:13.953030 : Epoch  1, Batch    634, Loss  0.849655, Average Loss  0.881313, Time  0.171366
2021-09-10 16:55:15.566762 : Epoch  1, Batch    635, Loss  0.894057, Average Loss  0.881370, Time  0.175687
2021-09-10 16:55:17.147791 : Epoch  1, Batch    636, Loss  0.879100, Average Loss  0.881173, Time  0.172049
2021-09-10 16:55:18.808845 : Epoch  1, Batch    637, Loss  0.883159, Average Loss  0.881202, Time  0.173170
2021-09-10 16:55:20.452830 : Epoch  1, Batch    638, Loss  0.838899, Average Loss  0.881095, Time  0.171565
2021-09-10 16:55:22.062046 : Epoch  1, Batch    639, Loss  0.873733, Average Loss  0.881125, Time  0.171323
2021-09-10 16:55:23.654037 : Epoch  1, Batch    640, Loss  0.887448, Average Loss  0.881161, Time  0.171409
2021-09-10 16:55:25.267853 : Epoch  1, Batch    641, Loss  0.879126, Average Loss  0.881100, Time  0.171291
2021-09-10 16:55:26.885880 : Epoch  1, Batch    642, Loss  0.873886, Average Loss  0.880895, Time  0.171605
2021-09-10 16:55:28.485041 : Epoch  1, Batch    643, Loss  0.896308, Average Loss  0.880752, Time  0.171592
2021-09-10 16:55:30.118875 : Epoch  1, Batch    644, Loss  0.853805, Average Loss  0.880652, Time  0.172748
2021-09-10 16:55:31.763032 : Epoch  1, Batch    645, Loss  0.889502, Average Loss  0.880697, Time  0.171578
2021-09-10 16:55:33.394781 : Epoch  1, Batch    646, Loss  0.896169, Average Loss  0.880703, Time  0.171461
2021-09-10 16:55:35.024049 : Epoch  1, Batch    647, Loss  0.893549, Average Loss  0.880716, Time  0.171664
2021-09-10 16:55:36.632110 : Epoch  1, Batch    648, Loss  0.911602, Average Loss  0.880763, Time  0.176194
2021-09-10 16:55:38.239931 : Epoch  1, Batch    649, Loss  0.895250, Average Loss  0.880725, Time  0.174131
2021-09-10 16:55:39.870042 : Epoch  1, Batch    650, Loss  0.886028, Average Loss  0.880751, Time  0.171600
2021-09-10 16:55:41.490038 : Epoch  1, Batch    651, Loss  0.881556, Average Loss  0.880786, Time  0.171306
2021-09-10 16:55:43.118881 : Epoch  1, Batch    652, Loss  0.877567, Average Loss  0.880728, Time  0.171723
2021-09-10 16:55:44.742047 : Epoch  1, Batch    653, Loss  0.850530, Average Loss  0.880652, Time  0.171209
2021-09-10 16:55:46.367872 : Epoch  1, Batch    654, Loss  0.855615, Average Loss  0.880497, Time  0.171830
2021-09-10 16:55:47.977053 : Epoch  1, Batch    655, Loss  0.907903, Average Loss  0.880762, Time  0.171140
2021-09-10 16:55:49.563619 : Epoch  1, Batch    656, Loss  0.851917, Average Loss  0.880598, Time  0.172846
2021-09-10 16:55:51.183818 : Epoch  1, Batch    657, Loss  0.880596, Average Loss  0.880758, Time  0.177308
2021-09-10 16:55:52.786810 : Epoch  1, Batch    658, Loss  0.859063, Average Loss  0.880589, Time  0.172211
2021-09-10 16:55:54.390806 : Epoch  1, Batch    659, Loss  0.870853, Average Loss  0.880510, Time  0.171333
2021-09-10 16:55:56.007026 : Epoch  1, Batch    660, Loss  0.864690, Average Loss  0.880461, Time  0.171088
2021-09-10 16:55:57.617893 : Epoch  1, Batch    661, Loss  0.870735, Average Loss  0.880375, Time  0.178685
2021-09-10 16:55:59.211030 : Epoch  1, Batch    662, Loss  0.890337, Average Loss  0.880472, Time  0.171291
2021-09-10 16:56:00.828040 : Epoch  1, Batch    663, Loss  0.851149, Average Loss  0.880221, Time  0.171340
2021-09-10 16:56:02.443773 : Epoch  1, Batch    664, Loss  0.874695, Average Loss  0.880354, Time  0.171387
2021-09-10 16:56:04.055768 : Epoch  1, Batch    665, Loss  0.861169, Average Loss  0.880226, Time  0.171473
2021-09-10 16:56:05.674943 : Epoch  1, Batch    666, Loss  0.857613, Average Loss  0.879964, Time  0.171496
2021-09-10 16:56:07.287042 : Epoch  1, Batch    667, Loss  0.863398, Average Loss  0.879695, Time  0.171321
2021-09-10 16:56:08.919049 : Epoch  1, Batch    668, Loss  0.867789, Average Loss  0.879709, Time  0.171471
2021-09-10 16:56:10.546897 : Epoch  1, Batch    669, Loss  0.884084, Average Loss  0.879604, Time  0.171229
2021-09-10 16:56:12.152854 : Epoch  1, Batch    670, Loss  0.893305, Average Loss  0.879600, Time  0.170976
2021-09-10 16:56:13.761039 : Epoch  1, Batch    671, Loss  0.873084, Average Loss  0.879713, Time  0.171751
2021-09-10 16:56:15.395872 : Epoch  1, Batch    672, Loss  0.866308, Average Loss  0.879830, Time  0.171759
2021-09-10 16:56:17.016874 : Epoch  1, Batch    673, Loss  0.886830, Average Loss  0.879988, Time  0.171281
2021-09-10 16:56:18.600073 : Epoch  1, Batch    674, Loss  0.882963, Average Loss  0.880133, Time  0.172057
2021-09-10 16:56:20.201929 : Epoch  1, Batch    675, Loss  0.857704, Average Loss  0.879967, Time  0.171594
2021-09-10 16:56:21.866032 : Epoch  1, Batch    676, Loss  0.893346, Average Loss  0.879859, Time  0.173376
2021-09-10 16:56:23.489037 : Epoch  1, Batch    677, Loss  0.880085, Average Loss  0.879873, Time  0.171186
2021-09-10 16:56:25.108846 : Epoch  1, Batch    678, Loss  0.891024, Average Loss  0.879820, Time  0.173436
2021-09-10 16:56:26.742776 : Epoch  1, Batch    679, Loss  0.888897, Average Loss  0.880007, Time  0.171456
2021-09-10 16:56:28.370800 : Epoch  1, Batch    680, Loss  0.885510, Average Loss  0.880071, Time  0.171621
2021-09-10 16:56:30.004804 : Epoch  1, Batch    681, Loss  0.872109, Average Loss  0.880051, Time  0.171173
2021-09-10 16:56:31.639881 : Epoch  1, Batch    682, Loss  0.880491, Average Loss  0.880193, Time  0.171723
2021-09-10 16:56:33.266039 : Epoch  1, Batch    683, Loss  0.892166, Average Loss  0.880385, Time  0.172790
2021-09-10 16:56:34.865798 : Epoch  1, Batch    684, Loss  0.852007, Average Loss  0.880380, Time  0.171058
2021-09-10 16:56:36.492899 : Epoch  1, Batch    685, Loss  0.867059, Average Loss  0.880277, Time  0.173641
2021-09-10 16:56:38.109894 : Epoch  1, Batch    686, Loss  0.899344, Average Loss  0.880378, Time  0.172057
2021-09-10 16:56:39.731936 : Epoch  1, Batch    687, Loss  0.866614, Average Loss  0.880141, Time  0.196186
2021-09-10 16:56:41.328776 : Epoch  1, Batch    688, Loss  0.884610, Average Loss  0.880091, Time  0.177142
2021-09-10 16:56:42.927069 : Epoch  1, Batch    689, Loss  0.898114, Average Loss  0.879996, Time  0.171971
2021-09-10 16:56:44.547061 : Epoch  1, Batch    690, Loss  0.861529, Average Loss  0.879733, Time  0.171360
2021-09-10 16:56:46.160916 : Epoch  1, Batch    691, Loss  0.848680, Average Loss  0.879487, Time  0.174625
2021-09-10 16:56:47.764855 : Epoch  1, Batch    692, Loss  0.852260, Average Loss  0.879148, Time  0.171595
2021-09-10 16:56:49.376943 : Epoch  1, Batch    693, Loss  0.893083, Average Loss  0.879298, Time  0.171641
2021-09-10 16:56:50.968043 : Epoch  1, Batch    694, Loss  0.923753, Average Loss  0.879414, Time  0.171139
2021-09-10 16:56:52.589038 : Epoch  1, Batch    695, Loss  0.871691, Average Loss  0.879302, Time  0.171573
2021-09-10 16:56:54.207839 : Epoch  1, Batch    696, Loss  0.859023, Average Loss  0.879341, Time  0.171273
2021-09-10 16:56:55.825943 : Epoch  1, Batch    697, Loss  0.856541, Average Loss  0.879272, Time  0.173483
2021-09-10 16:56:57.424793 : Epoch  1, Batch    698, Loss  0.870369, Average Loss  0.879318, Time  0.171524
2021-09-10 16:56:59.057888 : Epoch  1, Batch    699, Loss  0.858631, Average Loss  0.879020, Time  0.171478
2021-09-10 16:57:00.689803 : Epoch  1, Batch    700, Loss  0.886611, Average Loss  0.879058, Time  0.171569
2021-09-10 17:01:44.935719 : CheckPoint: Validation Loss  0.00059962, Best Loss  0.00059962
2021-09-10 17:01:45.031634 : Best Model Updated
2021-09-10 17:01:47.623915 : Epoch  1, Batch    701, Loss  0.894191, Average Loss  0.879097, Time  0.178935
2021-09-10 17:01:49.257756 : Epoch  1, Batch    702, Loss  0.900171, Average Loss  0.879049, Time  0.172131
2021-09-10 17:01:50.881022 : Epoch  1, Batch    703, Loss  0.876202, Average Loss  0.878937, Time  0.171255
2021-09-10 17:01:52.506961 : Epoch  1, Batch    704, Loss  0.872745, Average Loss  0.878933, Time  0.171339
2021-09-10 17:01:54.128830 : Epoch  1, Batch    705, Loss  0.880451, Average Loss  0.878982, Time  0.171333
2021-09-10 17:01:55.739030 : Epoch  1, Batch    706, Loss  0.861444, Average Loss  0.878994, Time  0.171219
2021-09-10 17:01:57.328051 : Epoch  1, Batch    707, Loss  0.890602, Average Loss  0.878883, Time  0.172733
2021-09-10 17:01:58.935072 : Epoch  1, Batch    708, Loss  0.865308, Average Loss  0.878763, Time  0.171712
2021-09-10 17:02:00.559065 : Epoch  1, Batch    709, Loss  0.873133, Average Loss  0.878627, Time  0.173200
2021-09-10 17:02:02.177076 : Epoch  1, Batch    710, Loss  0.896173, Average Loss  0.878632, Time  0.181337
2021-09-10 17:02:03.812065 : Epoch  1, Batch    711, Loss  0.880307, Average Loss  0.878401, Time  0.186759
2021-09-10 17:02:05.451802 : Epoch  1, Batch    712, Loss  0.826952, Average Loss  0.878251, Time  0.175477
2021-09-10 17:02:07.063073 : Epoch  1, Batch    713, Loss  0.902897, Average Loss  0.878537, Time  0.172863
2021-09-10 17:02:08.689063 : Epoch  1, Batch    714, Loss  0.860122, Average Loss  0.878455, Time  0.177352
2021-09-10 17:02:10.297073 : Epoch  1, Batch    715, Loss  0.887423, Average Loss  0.878539, Time  0.173327
2021-09-10 17:02:11.923073 : Epoch  1, Batch    716, Loss  0.870095, Average Loss  0.878481, Time  0.182962
2021-09-10 17:02:13.549940 : Epoch  1, Batch    717, Loss  0.884442, Average Loss  0.878454, Time  0.180185
2021-09-10 17:02:15.168819 : Epoch  1, Batch    718, Loss  0.851879, Average Loss  0.878262, Time  0.173023
2021-09-10 17:02:16.788990 : Epoch  1, Batch    719, Loss  0.907014, Average Loss  0.878427, Time  0.177661
2021-09-10 17:02:18.394807 : Epoch  1, Batch    720, Loss  0.909250, Average Loss  0.878668, Time  0.183215
2021-09-10 17:02:19.994063 : Epoch  1, Batch    721, Loss  0.887307, Average Loss  0.878791, Time  0.171767
2021-09-10 17:02:21.597891 : Epoch  1, Batch    722, Loss  0.855912, Average Loss  0.878583, Time  0.174552
2021-09-10 17:02:23.237062 : Epoch  1, Batch    723, Loss  0.873294, Average Loss  0.878546, Time  0.180654
2021-09-10 17:02:24.875845 : Epoch  1, Batch    724, Loss  0.844672, Average Loss  0.878310, Time  0.185424
2021-09-10 17:02:26.510054 : Epoch  1, Batch    725, Loss  0.920036, Average Loss  0.878528, Time  0.171829
2021-09-10 17:02:28.118814 : Epoch  1, Batch    726, Loss  0.896640, Average Loss  0.878600, Time  0.171753
2021-09-10 17:02:29.741803 : Epoch  1, Batch    727, Loss  0.847336, Average Loss  0.878464, Time  0.180824
2021-09-10 17:02:31.359781 : Epoch  1, Batch    728, Loss  0.924210, Average Loss  0.878770, Time  0.178145
2021-09-10 17:02:32.974069 : Epoch  1, Batch    729, Loss  0.873295, Average Loss  0.878589, Time  0.174063
2021-09-10 17:02:34.570047 : Epoch  1, Batch    730, Loss  0.878638, Average Loss  0.878437, Time  0.171386
2021-09-10 17:02:36.200916 : Epoch  1, Batch    731, Loss  0.889680, Average Loss  0.878523, Time  0.171562
2021-09-10 17:02:37.795833 : Epoch  1, Batch    732, Loss  0.883197, Average Loss  0.878492, Time  0.171333
2021-09-10 17:02:39.409916 : Epoch  1, Batch    733, Loss  0.875470, Average Loss  0.878517, Time  0.171338
2021-09-10 17:02:41.029819 : Epoch  1, Batch    734, Loss  0.887501, Average Loss  0.878595, Time  0.173482
2021-09-10 17:02:42.638749 : Epoch  1, Batch    735, Loss  0.890900, Average Loss  0.878643, Time  0.171325
2021-09-10 17:02:44.242764 : Epoch  1, Batch    736, Loss  0.864076, Average Loss  0.878581, Time  0.174099
2021-09-10 17:02:45.882757 : Epoch  1, Batch    737, Loss  0.887407, Average Loss  0.878572, Time  0.176718
2021-09-10 17:02:47.485933 : Epoch  1, Batch    738, Loss  0.877447, Average Loss  0.878563, Time  0.182225
2021-09-10 17:02:49.079880 : Epoch  1, Batch    739, Loss  0.882667, Average Loss  0.878703, Time  0.171131
2021-09-10 17:02:50.685041 : Epoch  1, Batch    740, Loss  0.903511, Average Loss  0.878834, Time  0.171230
2021-09-10 17:02:52.298807 : Epoch  1, Batch    741, Loss  0.850025, Average Loss  0.878773, Time  0.171317
2021-09-10 17:02:53.928912 : Epoch  1, Batch    742, Loss  0.886498, Average Loss  0.878921, Time  0.171407
2021-09-10 17:02:55.519899 : Epoch  1, Batch    743, Loss  0.912702, Average Loss  0.878912, Time  0.171995
2021-09-10 17:02:57.110044 : Epoch  1, Batch    744, Loss  0.903417, Average Loss  0.879049, Time  0.171178
2021-09-10 17:02:58.720815 : Epoch  1, Batch    745, Loss  0.861646, Average Loss  0.878901, Time  0.171249
2021-09-10 17:03:00.322850 : Epoch  1, Batch    746, Loss  0.864579, Average Loss  0.878799, Time  0.173693
2021-09-10 17:03:01.944818 : Epoch  1, Batch    747, Loss  0.892419, Average Loss  0.878899, Time  0.171129
2021-09-10 17:03:03.542074 : Epoch  1, Batch    748, Loss  0.891845, Average Loss  0.879049, Time  0.172404
2021-09-10 17:03:05.137854 : Epoch  1, Batch    749, Loss  0.908385, Average Loss  0.879203, Time  0.172406
2021-09-10 17:03:06.757961 : Epoch  1, Batch    750, Loss  0.876489, Average Loss  0.879142, Time  0.171515
2021-09-10 17:03:08.392840 : Epoch  1, Batch    751, Loss  0.884218, Average Loss  0.879302, Time  0.170984
2021-09-10 17:03:10.007794 : Epoch  1, Batch    752, Loss  0.876052, Average Loss  0.879173, Time  0.171531
2021-09-10 17:03:11.623844 : Epoch  1, Batch    753, Loss  0.869203, Average Loss  0.879079, Time  0.172745
2021-09-10 17:03:13.212835 : Epoch  1, Batch    754, Loss  0.887675, Average Loss  0.879109, Time  0.171353
2021-09-10 17:03:14.845038 : Epoch  1, Batch    755, Loss  0.856559, Average Loss  0.879129, Time  0.171290
2021-09-10 17:03:16.465833 : Epoch  1, Batch    756, Loss  0.872587, Average Loss  0.879114, Time  0.171179
2021-09-10 17:03:18.087076 : Epoch  1, Batch    757, Loss  0.870041, Average Loss  0.879016, Time  0.172039
2021-09-10 17:03:19.707898 : Epoch  1, Batch    758, Loss  0.904915, Average Loss  0.879067, Time  0.172092
2021-09-10 17:03:21.346037 : Epoch  1, Batch    759, Loss  0.882232, Average Loss  0.879063, Time  0.171322
2021-09-10 17:03:22.935652 : Epoch  1, Batch    760, Loss  0.881395, Average Loss  0.879219, Time  0.171401
2021-09-10 17:03:24.556822 : Epoch  1, Batch    761, Loss  0.863435, Average Loss  0.879204, Time  0.171771
2021-09-10 17:03:26.149795 : Epoch  1, Batch    762, Loss  0.847337, Average Loss  0.878897, Time  0.174346
2021-09-10 17:03:27.756068 : Epoch  1, Batch    763, Loss  0.888367, Average Loss  0.879021, Time  0.171524
2021-09-10 17:03:29.360065 : Epoch  1, Batch    764, Loss  0.874389, Average Loss  0.878883, Time  0.175059
2021-09-10 17:03:30.982061 : Epoch  1, Batch    765, Loss  0.860798, Average Loss  0.878681, Time  0.179823
2021-09-10 17:03:32.581074 : Epoch  1, Batch    766, Loss  0.896107, Average Loss  0.878719, Time  0.172787
2021-09-10 17:03:34.206066 : Epoch  1, Batch    767, Loss  0.877141, Average Loss  0.878716, Time  0.184853
2021-09-10 17:03:35.794078 : Epoch  1, Batch    768, Loss  0.892977, Average Loss  0.878611, Time  0.174123
2021-09-10 17:03:37.413762 : Epoch  1, Batch    769, Loss  0.873444, Average Loss  0.878632, Time  0.171592
2021-09-10 17:03:39.016810 : Epoch  1, Batch    770, Loss  0.859973, Average Loss  0.878612, Time  0.171392
2021-09-10 17:03:40.639822 : Epoch  1, Batch    771, Loss  0.878927, Average Loss  0.878680, Time  0.173783
2021-09-10 17:03:42.258027 : Epoch  1, Batch    772, Loss  0.908083, Average Loss  0.878788, Time  0.171273
2021-09-10 17:03:43.885024 : Epoch  1, Batch    773, Loss  0.869935, Average Loss  0.878800, Time  0.171036
2021-09-10 17:03:45.512031 : Epoch  1, Batch    774, Loss  0.892440, Average Loss  0.878793, Time  0.170871
2021-09-10 17:03:47.176020 : Epoch  1, Batch    775, Loss  0.893343, Average Loss  0.878906, Time  0.171137
2021-09-10 17:03:48.771865 : Epoch  1, Batch    776, Loss  0.873410, Average Loss  0.878866, Time  0.171480
2021-09-10 17:03:50.395964 : Epoch  1, Batch    777, Loss  0.903657, Average Loss  0.879027, Time  0.173735
2021-09-10 17:03:52.019762 : Epoch  1, Batch    778, Loss  0.910307, Average Loss  0.879065, Time  0.171577
2021-09-10 17:03:53.602529 : Epoch  1, Batch    779, Loss  0.854048, Average Loss  0.878924, Time  0.171518
2021-09-10 17:03:55.201794 : Epoch  1, Batch    780, Loss  0.838476, Average Loss  0.878611, Time  0.178158
2021-09-10 17:03:56.798782 : Epoch  1, Batch    781, Loss  0.878556, Average Loss  0.878662, Time  0.171327
2021-09-10 17:03:58.413862 : Epoch  1, Batch    782, Loss  0.859327, Average Loss  0.878640, Time  0.171448
2021-09-10 17:04:00.035038 : Epoch  1, Batch    783, Loss  0.863679, Average Loss  0.878595, Time  0.170936
2021-09-10 17:04:01.646896 : Epoch  1, Batch    784, Loss  0.875369, Average Loss  0.878573, Time  0.171311
2021-09-10 17:04:03.259026 : Epoch  1, Batch    785, Loss  0.869611, Average Loss  0.878458, Time  0.171186
2021-09-10 17:04:04.872761 : Epoch  1, Batch    786, Loss  0.840978, Average Loss  0.877986, Time  0.171346
2021-09-10 17:04:06.493861 : Epoch  1, Batch    787, Loss  0.874127, Average Loss  0.878050, Time  0.171688
2021-09-10 17:04:08.101852 : Epoch  1, Batch    788, Loss  0.871508, Average Loss  0.878067, Time  0.173483
2021-09-10 17:04:09.712060 : Epoch  1, Batch    789, Loss  0.877771, Average Loss  0.878171, Time  0.172209
2021-09-10 17:04:11.334078 : Epoch  1, Batch    790, Loss  0.890131, Average Loss  0.878324, Time  0.181933
2021-09-10 17:04:12.937042 : Epoch  1, Batch    791, Loss  0.888135, Average Loss  0.878459, Time  0.171303
2021-09-10 17:04:14.556032 : Epoch  1, Batch    792, Loss  0.905701, Average Loss  0.878589, Time  0.172711
2021-09-10 17:04:16.142072 : Epoch  1, Batch    793, Loss  0.896816, Average Loss  0.878607, Time  0.176527
2021-09-10 17:04:17.733176 : Epoch  1, Batch    794, Loss  0.874852, Average Loss  0.878510, Time  0.171667
2021-09-10 17:04:19.344783 : Epoch  1, Batch    795, Loss  0.884221, Average Loss  0.878505, Time  0.176573
2021-09-10 17:04:20.965157 : Epoch  1, Batch    796, Loss  0.887129, Average Loss  0.878429, Time  0.184325
2021-09-10 17:04:22.571132 : Epoch  1, Batch    797, Loss  0.888020, Average Loss  0.878410, Time  0.172213
2021-09-10 17:04:24.166118 : Epoch  1, Batch    798, Loss  0.899515, Average Loss  0.878629, Time  0.174225
2021-09-10 17:04:25.771097 : Epoch  1, Batch    799, Loss  0.890395, Average Loss  0.878669, Time  0.171459
2021-09-10 17:04:27.396446 : Epoch  1, Batch    800, Loss  0.860280, Average Loss  0.878665, Time  0.177351
2021-09-10 17:09:11.498732 : CheckPoint: Validation Loss  0.00061787, Best Loss  0.00059962
2021-09-10 17:09:13.124843 : Epoch  1, Batch    801, Loss  0.884710, Average Loss  0.878729, Time  0.187791
2021-09-10 17:09:14.710789 : Epoch  1, Batch    802, Loss  0.887007, Average Loss  0.878900, Time  0.172122
2021-09-10 17:09:16.304871 : Epoch  1, Batch    803, Loss  0.861309, Average Loss  0.878895, Time  0.175085
2021-09-10 17:09:17.884868 : Epoch  1, Batch    804, Loss  0.860932, Average Loss  0.878832, Time  0.172736
2021-09-10 17:09:19.476877 : Epoch  1, Batch    805, Loss  0.879781, Average Loss  0.878882, Time  0.175934
2021-09-10 17:09:21.080960 : Epoch  1, Batch    806, Loss  0.884066, Average Loss  0.879112, Time  0.178470
2021-09-10 17:09:22.705062 : Epoch  1, Batch    807, Loss  0.873621, Average Loss  0.879102, Time  0.182413
2021-09-10 17:09:24.307767 : Epoch  1, Batch    808, Loss  0.884456, Average Loss  0.879218, Time  0.173544
2021-09-10 17:09:25.897110 : Epoch  1, Batch    809, Loss  0.861874, Average Loss  0.878987, Time  0.173070
2021-09-10 17:09:27.486111 : Epoch  1, Batch    810, Loss  0.873817, Average Loss  0.878744, Time  0.172085
2021-09-10 17:09:29.091539 : Epoch  1, Batch    811, Loss  0.894937, Average Loss  0.878709, Time  0.171992
2021-09-10 17:09:30.693076 : Epoch  1, Batch    812, Loss  0.894440, Average Loss  0.878929, Time  0.176187
2021-09-10 17:09:32.290983 : Epoch  1, Batch    813, Loss  0.864042, Average Loss  0.878845, Time  0.171900
2021-09-10 17:09:33.903083 : Epoch  1, Batch    814, Loss  0.908415, Average Loss  0.879043, Time  0.177912
2021-09-10 17:09:35.503065 : Epoch  1, Batch    815, Loss  0.908559, Average Loss  0.879084, Time  0.174484
2021-09-10 17:09:37.109760 : Epoch  1, Batch    816, Loss  0.849987, Average Loss  0.878919, Time  0.180638
2021-09-10 17:09:38.686073 : Epoch  1, Batch    817, Loss  0.875782, Average Loss  0.878873, Time  0.174362
2021-09-10 17:09:40.275564 : Epoch  1, Batch    818, Loss  0.882160, Average Loss  0.878897, Time  0.174543
2021-09-10 17:09:41.850789 : Epoch  1, Batch    819, Loss  0.889934, Average Loss  0.878951, Time  0.171988
2021-09-10 17:09:43.445989 : Epoch  1, Batch    820, Loss  0.854334, Average Loss  0.878705, Time  0.176768
2021-09-10 17:09:45.063763 : Epoch  1, Batch    821, Loss  0.857132, Average Loss  0.878519, Time  0.171942
2021-09-10 17:09:46.672789 : Epoch  1, Batch    822, Loss  0.852201, Average Loss  0.878318, Time  0.175813
2021-09-10 17:09:48.300069 : Epoch  1, Batch    823, Loss  0.882045, Average Loss  0.878221, Time  0.173016
2021-09-10 17:09:49.914805 : Epoch  1, Batch    824, Loss  0.856481, Average Loss  0.877981, Time  0.180184
2021-09-10 17:09:51.516065 : Epoch  1, Batch    825, Loss  0.881493, Average Loss  0.878059, Time  0.175884
2021-09-10 17:09:53.101026 : Epoch  1, Batch    826, Loss  0.889933, Average Loss  0.878130, Time  0.172277
2021-09-10 17:09:54.703836 : Epoch  1, Batch    827, Loss  0.920501, Average Loss  0.878381, Time  0.177366
2021-09-10 17:09:56.310079 : Epoch  1, Batch    828, Loss  0.902997, Average Loss  0.878533, Time  0.172880
2021-09-10 17:09:57.901143 : Epoch  1, Batch    829, Loss  0.907432, Average Loss  0.878616, Time  0.171338
2021-09-10 17:09:59.500872 : Epoch  1, Batch    830, Loss  0.859469, Average Loss  0.878572, Time  0.171883
2021-09-10 17:10:01.100123 : Epoch  1, Batch    831, Loss  0.878665, Average Loss  0.878665, Time  0.179554
2021-09-10 17:10:02.755083 : Epoch  1, Batch    832, Loss  0.862088, Average Loss  0.878574, Time  0.233526
2021-09-10 17:10:04.363773 : Epoch  1, Batch    833, Loss  0.886167, Average Loss  0.878533, Time  0.171546
2021-09-10 17:10:05.979035 : Epoch  1, Batch    834, Loss  0.879964, Average Loss  0.878685, Time  0.172035
2021-09-10 17:10:07.553067 : Epoch  1, Batch    835, Loss  0.865320, Average Loss  0.878541, Time  0.171933
2021-09-10 17:10:09.165775 : Epoch  1, Batch    836, Loss  0.879520, Average Loss  0.878543, Time  0.177803
2021-09-10 17:10:10.768069 : Epoch  1, Batch    837, Loss  0.879407, Average Loss  0.878524, Time  0.172026
2021-09-10 17:10:12.364085 : Epoch  1, Batch    838, Loss  0.836151, Average Loss  0.878511, Time  0.178344
2021-09-10 17:10:13.943360 : Epoch  1, Batch    839, Loss  0.865739, Average Loss  0.878471, Time  0.173846
2021-09-10 17:10:15.533069 : Epoch  1, Batch    840, Loss  0.875054, Average Loss  0.878409, Time  0.172345
2021-09-10 17:10:17.131068 : Epoch  1, Batch    841, Loss  0.901551, Average Loss  0.878521, Time  0.171890
2021-09-10 17:10:18.725891 : Epoch  1, Batch    842, Loss  0.880853, Average Loss  0.878556, Time  0.174170
2021-09-10 17:10:20.329950 : Epoch  1, Batch    843, Loss  0.877682, Average Loss  0.878462, Time  0.173085
2021-09-10 17:10:21.920695 : Epoch  1, Batch    844, Loss  0.899981, Average Loss  0.878693, Time  0.177613
2021-09-10 17:10:23.515072 : Epoch  1, Batch    845, Loss  0.868617, Average Loss  0.878589, Time  0.171272
2021-09-10 17:10:25.114785 : Epoch  1, Batch    846, Loss  0.931610, Average Loss  0.878766, Time  0.171891
2021-09-10 17:10:26.734992 : Epoch  1, Batch    847, Loss  0.871488, Average Loss  0.878656, Time  0.174869
2021-09-10 17:10:28.363800 : Epoch  1, Batch    848, Loss  0.893523, Average Loss  0.878565, Time  0.180866
2021-09-10 17:10:29.944730 : Epoch  1, Batch    849, Loss  0.875609, Average Loss  0.878467, Time  0.172076
2021-09-10 17:10:31.532737 : Epoch  1, Batch    850, Loss  0.873469, Average Loss  0.878404, Time  0.171447
2021-09-10 17:10:33.118071 : Epoch  1, Batch    851, Loss  0.879540, Average Loss  0.878394, Time  0.171510
2021-09-10 17:10:34.707623 : Epoch  1, Batch    852, Loss  0.864656, Average Loss  0.878330, Time  0.171654
2021-09-10 17:10:36.308810 : Epoch  1, Batch    853, Loss  0.863807, Average Loss  0.878396, Time  0.176441
2021-09-10 17:10:37.905904 : Epoch  1, Batch    854, Loss  0.873517, Average Loss  0.878486, Time  0.175257
2021-09-10 17:10:39.485778 : Epoch  1, Batch    855, Loss  0.868702, Average Loss  0.878290, Time  0.174546
2021-09-10 17:10:41.091114 : Epoch  1, Batch    856, Loss  0.881977, Average Loss  0.878440, Time  0.171581
2021-09-10 17:10:42.682829 : Epoch  1, Batch    857, Loss  0.880477, Average Loss  0.878439, Time  0.184648
2021-09-10 17:10:44.270063 : Epoch  1, Batch    858, Loss  0.867921, Average Loss  0.878484, Time  0.173328
2021-09-10 17:10:45.855436 : Epoch  1, Batch    859, Loss  0.872906, Average Loss  0.878494, Time  0.176417
2021-09-10 17:10:47.435054 : Epoch  1, Batch    860, Loss  0.879307, Average Loss  0.878567, Time  0.175850
2021-09-10 17:10:49.055781 : Epoch  1, Batch    861, Loss  0.896215, Average Loss  0.878694, Time  0.171447
2021-09-10 17:10:50.658110 : Epoch  1, Batch    862, Loss  0.887795, Average Loss  0.878682, Time  0.176627
2021-09-10 17:10:52.243758 : Epoch  1, Batch    863, Loss  0.845725, Average Loss  0.878655, Time  0.176102
2021-09-10 17:10:53.872795 : Epoch  1, Batch    864, Loss  0.841895, Average Loss  0.878491, Time  0.179811
2021-09-10 17:10:55.384074 : Epoch  1, Batch    865, Loss  0.873186, Average Loss  0.878551, Time  0.171971
2021-09-10 17:10:56.991133 : Epoch  1, Batch    866, Loss  0.861278, Average Loss  0.878569, Time  0.173887
2021-09-10 17:10:58.583089 : Epoch  1, Batch    867, Loss  0.851882, Average Loss  0.878511, Time  0.180135
2021-09-10 17:11:00.197857 : Epoch  1, Batch    868, Loss  0.887654, Average Loss  0.878611, Time  0.176613
2021-09-10 17:11:01.789816 : Epoch  1, Batch    869, Loss  0.849385, Average Loss  0.878437, Time  0.174377
2021-09-10 17:11:03.373066 : Epoch  1, Batch    870, Loss  0.887727, Average Loss  0.878409, Time  0.172047
2021-09-10 17:11:04.951261 : Epoch  1, Batch    871, Loss  0.901897, Average Loss  0.878553, Time  0.174295
2021-09-10 17:11:06.534097 : Epoch  1, Batch    872, Loss  0.885502, Average Loss  0.878649, Time  0.174047
2021-09-10 17:11:08.115977 : Epoch  1, Batch    873, Loss  0.864880, Average Loss  0.878540, Time  0.171696
2021-09-10 17:11:09.731075 : Epoch  1, Batch    874, Loss  0.855939, Average Loss  0.878405, Time  0.174555
2021-09-10 17:11:11.324131 : Epoch  1, Batch    875, Loss  0.869917, Average Loss  0.878466, Time  0.177291
2021-09-10 17:11:12.897766 : Epoch  1, Batch    876, Loss  0.869443, Average Loss  0.878346, Time  0.171322
2021-09-10 17:11:14.474942 : Epoch  1, Batch    877, Loss  0.885653, Average Loss  0.878374, Time  0.171869
2021-09-10 17:11:16.053957 : Epoch  1, Batch    878, Loss  0.841973, Average Loss  0.878129, Time  0.176123
2021-09-10 17:11:17.645070 : Epoch  1, Batch    879, Loss  0.897915, Average Loss  0.878174, Time  0.174952
2021-09-10 17:11:19.279079 : Epoch  1, Batch    880, Loss  0.850385, Average Loss  0.877998, Time  0.175621
2021-09-10 17:11:20.894075 : Epoch  1, Batch    881, Loss  0.876010, Average Loss  0.878018, Time  0.171804
2021-09-10 17:11:22.514068 : Epoch  1, Batch    882, Loss  0.881431, Average Loss  0.878022, Time  0.171307
2021-09-10 17:11:24.107845 : Epoch  1, Batch    883, Loss  0.865827, Average Loss  0.877891, Time  0.174781
2021-09-10 17:11:25.730783 : Epoch  1, Batch    884, Loss  0.882011, Average Loss  0.878041, Time  0.177333
2021-09-10 17:11:27.340781 : Epoch  1, Batch    885, Loss  0.842862, Average Loss  0.877920, Time  0.174655
2021-09-10 17:11:28.960076 : Epoch  1, Batch    886, Loss  0.851089, Average Loss  0.877678, Time  0.177955
2021-09-10 17:11:30.562062 : Epoch  1, Batch    887, Loss  0.875027, Average Loss  0.877721, Time  0.171549
2021-09-10 17:11:32.150942 : Epoch  1, Batch    888, Loss  0.869748, Average Loss  0.877646, Time  0.171748
2021-09-10 17:11:33.736071 : Epoch  1, Batch    889, Loss  0.847963, Average Loss  0.877395, Time  0.171192
2021-09-10 17:11:35.340071 : Epoch  1, Batch    890, Loss  0.848414, Average Loss  0.877330, Time  0.175863
2021-09-10 17:11:36.938885 : Epoch  1, Batch    891, Loss  0.865971, Average Loss  0.877416, Time  0.172271
2021-09-10 17:11:38.544108 : Epoch  1, Batch    892, Loss  0.868472, Average Loss  0.877497, Time  0.172375
2021-09-10 17:11:40.139057 : Epoch  1, Batch    893, Loss  0.876399, Average Loss  0.877414, Time  0.171440
2021-09-10 17:11:41.748788 : Epoch  1, Batch    894, Loss  0.853757, Average Loss  0.877064, Time  0.172080
2021-09-10 17:11:43.369758 : Epoch  1, Batch    895, Loss  0.854441, Average Loss  0.876978, Time  0.179662
2021-09-10 17:11:44.973871 : Epoch  1, Batch    896, Loss  0.882378, Average Loss  0.877095, Time  0.174503
2021-09-10 17:11:46.587972 : Epoch  1, Batch    897, Loss  0.865922, Average Loss  0.877141, Time  0.174594
2021-09-10 17:11:48.186058 : Epoch  1, Batch    898, Loss  0.859187, Average Loss  0.877086, Time  0.178608
2021-09-10 17:11:49.809769 : Epoch  1, Batch    899, Loss  0.895186, Average Loss  0.877268, Time  0.175669
2021-09-10 17:11:51.430820 : Epoch  1, Batch    900, Loss  0.883871, Average Loss  0.877255, Time  0.175559
2021-09-10 17:16:35.732732 : CheckPoint: Validation Loss  0.00060332, Best Loss  0.00059962
2021-09-10 17:16:37.359902 : Epoch  1, Batch    901, Loss  0.857203, Average Loss  0.877070, Time  0.179473
2021-09-10 17:16:38.944746 : Epoch  1, Batch    902, Loss  0.858849, Average Loss  0.876863, Time  0.175217
2021-09-10 17:16:40.529750 : Epoch  1, Batch    903, Loss  0.857319, Average Loss  0.876769, Time  0.180013
2021-09-10 17:16:42.139916 : Epoch  1, Batch    904, Loss  0.898116, Average Loss  0.876895, Time  0.175730
2021-09-10 17:16:43.703824 : Epoch  1, Batch    905, Loss  0.863771, Average Loss  0.876812, Time  0.171925
2021-09-10 17:16:45.290877 : Epoch  1, Batch    906, Loss  0.880263, Average Loss  0.876906, Time  0.173919
2021-09-10 17:16:46.891057 : Epoch  1, Batch    907, Loss  0.885889, Average Loss  0.876883, Time  0.171901
2021-09-10 17:16:48.489059 : Epoch  1, Batch    908, Loss  0.870554, Average Loss  0.876909, Time  0.172502
2021-09-10 17:16:50.073787 : Epoch  1, Batch    909, Loss  0.876465, Average Loss  0.876926, Time  0.175536
2021-09-10 17:16:51.673827 : Epoch  1, Batch    910, Loss  0.884977, Average Loss  0.876870, Time  0.174514
2021-09-10 17:16:53.279867 : Epoch  1, Batch    911, Loss  0.900635, Average Loss  0.876971, Time  0.177368
2021-09-10 17:16:54.857763 : Epoch  1, Batch    912, Loss  0.892745, Average Loss  0.877300, Time  0.175715
2021-09-10 17:16:56.459821 : Epoch  1, Batch    913, Loss  0.848193, Average Loss  0.877027, Time  0.172583
2021-09-10 17:16:58.067094 : Epoch  1, Batch    914, Loss  0.856936, Average Loss  0.877011, Time  0.181663
2021-09-10 17:16:59.639073 : Epoch  1, Batch    915, Loss  0.890376, Average Loss  0.877025, Time  0.179922
2021-09-10 17:17:01.244079 : Epoch  1, Batch    916, Loss  0.897180, Average Loss  0.877161, Time  0.176087
2021-09-10 17:17:02.844065 : Epoch  1, Batch    917, Loss  0.862255, Average Loss  0.877050, Time  0.175000
2021-09-10 17:17:04.438055 : Epoch  1, Batch    918, Loss  0.882345, Average Loss  0.877202, Time  0.171394
2021-09-10 17:17:06.038069 : Epoch  1, Batch    919, Loss  0.866837, Average Loss  0.877001, Time  0.176321
2021-09-10 17:17:07.621819 : Epoch  1, Batch    920, Loss  0.871397, Average Loss  0.876812, Time  0.176755
2021-09-10 17:17:09.226062 : Epoch  1, Batch    921, Loss  0.875963, Average Loss  0.876755, Time  0.171786
2021-09-10 17:17:10.824429 : Epoch  1, Batch    922, Loss  0.836078, Average Loss  0.876656, Time  0.172590
2021-09-10 17:17:12.409892 : Epoch  1, Batch    923, Loss  0.867209, Average Loss  0.876626, Time  0.171937
2021-09-10 17:17:13.988778 : Epoch  1, Batch    924, Loss  0.854003, Average Loss  0.876672, Time  0.172548
2021-09-10 17:17:15.594812 : Epoch  1, Batch    925, Loss  0.877907, Average Loss  0.876462, Time  0.171954
2021-09-10 17:17:17.198881 : Epoch  1, Batch    926, Loss  0.853499, Average Loss  0.876246, Time  0.172057
2021-09-10 17:17:18.777950 : Epoch  1, Batch    927, Loss  0.874075, Average Loss  0.876380, Time  0.171922
2021-09-10 17:17:20.373877 : Epoch  1, Batch    928, Loss  0.900311, Average Loss  0.876260, Time  0.178326
2021-09-10 17:17:21.966778 : Epoch  1, Batch    929, Loss  0.873589, Average Loss  0.876262, Time  0.175344
2021-09-10 17:17:23.567496 : Epoch  1, Batch    930, Loss  0.897574, Average Loss  0.876356, Time  0.171762
2021-09-10 17:17:25.151770 : Epoch  1, Batch    931, Loss  0.874642, Average Loss  0.876281, Time  0.172987
2021-09-10 17:17:26.744957 : Epoch  1, Batch    932, Loss  0.894712, Average Loss  0.876339, Time  0.177758
2021-09-10 17:17:28.328750 : Epoch  1, Batch    933, Loss  0.835617, Average Loss  0.876140, Time  0.171772
2021-09-10 17:17:29.907467 : Epoch  1, Batch    934, Loss  0.881156, Average Loss  0.876108, Time  0.173211
2021-09-10 17:17:31.488953 : Epoch  1, Batch    935, Loss  0.854317, Average Loss  0.875925, Time  0.171889
2021-09-10 17:17:33.088067 : Epoch  1, Batch    936, Loss  0.850369, Average Loss  0.875856, Time  0.173106
2021-09-10 17:17:34.674102 : Epoch  1, Batch    937, Loss  0.869864, Average Loss  0.875769, Time  0.172819
2021-09-10 17:17:36.288344 : Epoch  1, Batch    938, Loss  0.840007, Average Loss  0.875582, Time  0.178137
2021-09-10 17:17:37.865062 : Epoch  1, Batch    939, Loss  0.908124, Average Loss  0.875709, Time  0.177821
2021-09-10 17:17:39.454760 : Epoch  1, Batch    940, Loss  0.856607, Average Loss  0.875474, Time  0.176293
2021-09-10 17:17:41.045815 : Epoch  1, Batch    941, Loss  0.856929, Average Loss  0.875509, Time  0.176442
2021-09-10 17:17:42.629976 : Epoch  1, Batch    942, Loss  0.863975, Average Loss  0.875396, Time  0.174613
2021-09-10 17:17:44.239787 : Epoch  1, Batch    943, Loss  0.866189, Average Loss  0.875164, Time  0.190366
2021-09-10 17:17:45.861080 : Epoch  1, Batch    944, Loss  0.871954, Average Loss  0.875006, Time  0.175138
2021-09-10 17:17:47.466068 : Epoch  1, Batch    945, Loss  0.881522, Average Loss  0.875106, Time  0.178439
2021-09-10 17:17:49.059069 : Epoch  1, Batch    946, Loss  0.886055, Average Loss  0.875213, Time  0.179946
2021-09-10 17:17:50.667869 : Epoch  1, Batch    947, Loss  0.869380, Average Loss  0.875098, Time  0.172447
2021-09-10 17:17:52.265069 : Epoch  1, Batch    948, Loss  0.861552, Average Loss  0.874946, Time  0.172731
2021-09-10 17:17:53.874768 : Epoch  1, Batch    949, Loss  0.842643, Average Loss  0.874618, Time  0.175146
2021-09-10 17:17:55.467973 : Epoch  1, Batch    950, Loss  0.878589, Average Loss  0.874628, Time  0.172889
2021-09-10 17:17:57.064761 : Epoch  1, Batch    951, Loss  0.867954, Average Loss  0.874547, Time  0.171962
2021-09-10 17:17:58.676782 : Epoch  1, Batch    952, Loss  0.863708, Average Loss  0.874485, Time  0.173738
2021-09-10 17:18:00.271903 : Epoch  1, Batch    953, Loss  0.893896, Average Loss  0.874609, Time  0.172984
2021-09-10 17:18:01.860360 : Epoch  1, Batch    954, Loss  0.847831, Average Loss  0.874409, Time  0.173947
2021-09-10 17:18:03.456075 : Epoch  1, Batch    955, Loss  0.890387, Average Loss  0.874579, Time  0.175264
2021-09-10 17:18:05.049106 : Epoch  1, Batch    956, Loss  0.883768, Average Loss  0.874634, Time  0.173628
2021-09-10 17:18:06.637067 : Epoch  1, Batch    957, Loss  0.864910, Average Loss  0.874609, Time  0.171991
2021-09-10 17:18:08.229755 : Epoch  1, Batch    958, Loss  0.887163, Average Loss  0.874520, Time  0.177134
2021-09-10 17:18:09.808062 : Epoch  1, Batch    959, Loss  0.883628, Average Loss  0.874527, Time  0.174503
2021-09-10 17:18:11.392785 : Epoch  1, Batch    960, Loss  0.877994, Average Loss  0.874510, Time  0.171949
2021-09-10 17:18:12.981675 : Epoch  1, Batch    961, Loss  0.884634, Average Loss  0.874616, Time  0.171552
2021-09-10 17:18:14.549863 : Epoch  1, Batch    962, Loss  0.866039, Average Loss  0.874710, Time  0.174021
2021-09-10 17:18:16.122831 : Epoch  1, Batch    963, Loss  0.881899, Average Loss  0.874677, Time  0.172341
2021-09-10 17:18:17.712115 : Epoch  1, Batch    964, Loss  0.876227, Average Loss  0.874686, Time  0.175151
2021-09-10 17:18:19.311266 : Epoch  1, Batch    965, Loss  0.869705, Average Loss  0.874731, Time  0.175578
2021-09-10 17:18:20.912812 : Epoch  1, Batch    966, Loss  0.867245, Average Loss  0.874587, Time  0.171298
2021-09-10 17:18:22.499799 : Epoch  1, Batch    967, Loss  0.885170, Average Loss  0.874627, Time  0.177984
2021-09-10 17:18:24.086330 : Epoch  1, Batch    968, Loss  0.882641, Average Loss  0.874575, Time  0.171875
2021-09-10 17:18:25.665995 : Epoch  1, Batch    969, Loss  0.849421, Average Loss  0.874455, Time  0.176882
2021-09-10 17:18:27.250100 : Epoch  1, Batch    970, Loss  0.894684, Average Loss  0.874628, Time  0.172138
2021-09-10 17:18:28.843064 : Epoch  1, Batch    971, Loss  0.895877, Average Loss  0.874713, Time  0.174986
2021-09-10 17:18:30.442113 : Epoch  1, Batch    972, Loss  0.882642, Average Loss  0.874586, Time  0.177926
2021-09-10 17:18:32.067775 : Epoch  1, Batch    973, Loss  0.871152, Average Loss  0.874592, Time  0.171731
2021-09-10 17:18:33.684163 : Epoch  1, Batch    974, Loss  0.872183, Average Loss  0.874491, Time  0.172475
2021-09-10 17:18:35.273067 : Epoch  1, Batch    975, Loss  0.873101, Average Loss  0.874390, Time  0.171876
2021-09-10 17:18:36.940939 : Epoch  1, Batch    976, Loss  0.884921, Average Loss  0.874447, Time  0.180123
2021-09-10 17:18:38.550105 : Epoch  1, Batch    977, Loss  0.882568, Average Loss  0.874342, Time  0.178300
2021-09-10 17:18:40.153206 : Epoch  1, Batch    978, Loss  0.872868, Average Loss  0.874155, Time  0.175221
2021-09-10 17:18:41.761061 : Epoch  1, Batch    979, Loss  0.860808, Average Loss  0.874188, Time  0.182480
2021-09-10 17:18:43.381913 : Epoch  1, Batch    980, Loss  0.897888, Average Loss  0.874485, Time  0.172567
2021-09-10 17:18:44.989060 : Epoch  1, Batch    981, Loss  0.862465, Average Loss  0.874405, Time  0.176068
2021-09-10 17:18:46.577227 : Epoch  1, Batch    982, Loss  0.866563, Average Loss  0.874441, Time  0.178874
2021-09-10 17:18:48.176059 : Epoch  1, Batch    983, Loss  0.893544, Average Loss  0.874590, Time  0.172115
2021-09-10 17:18:49.775877 : Epoch  1, Batch    984, Loss  0.859567, Average Loss  0.874511, Time  0.171987
2021-09-10 17:18:51.363117 : Epoch  1, Batch    985, Loss  0.918763, Average Loss  0.874757, Time  0.173728
2021-09-10 17:18:52.978924 : Epoch  1, Batch    986, Loss  0.890400, Average Loss  0.875004, Time  0.172088
2021-09-10 17:18:54.586231 : Epoch  1, Batch    987, Loss  0.843338, Average Loss  0.874850, Time  0.171479
2021-09-10 17:18:56.188470 : Epoch  1, Batch    988, Loss  0.875675, Average Loss  0.874871, Time  0.171608
2021-09-10 17:18:57.778086 : Epoch  1, Batch    989, Loss  0.895943, Average Loss  0.874962, Time  0.175426
2021-09-10 17:18:59.365069 : Epoch  1, Batch    990, Loss  0.876209, Average Loss  0.874892, Time  0.173702
2021-09-10 17:19:00.966797 : Epoch  1, Batch    991, Loss  0.866053, Average Loss  0.874782, Time  0.173195
2021-09-10 17:19:02.565922 : Epoch  1, Batch    992, Loss  0.893688, Average Loss  0.874722, Time  0.185609
2021-09-10 17:19:04.168790 : Epoch  1, Batch    993, Loss  0.899023, Average Loss  0.874733, Time  0.172868
2021-09-10 17:19:05.757065 : Epoch  1, Batch    994, Loss  0.871862, Average Loss  0.874718, Time  0.174679
2021-09-10 17:19:07.339104 : Epoch  1, Batch    995, Loss  0.839317, Average Loss  0.874494, Time  0.172030
2021-09-10 17:19:08.930888 : Epoch  1, Batch    996, Loss  0.839826, Average Loss  0.874257, Time  0.171842
2021-09-10 17:19:10.521060 : Epoch  1, Batch    997, Loss  0.840192, Average Loss  0.874018, Time  0.172134
2021-09-10 17:19:12.120802 : Epoch  1, Batch    998, Loss  0.860695, Average Loss  0.873824, Time  0.172111
2021-09-10 17:19:13.729907 : Epoch  1, Batch    999, Loss  0.876221, Average Loss  0.873753, Time  0.173922
2021-09-10 17:19:22.921084 : Epoch  1, Batch   1000, Loss  0.872838, Average Loss  0.873816, Time  0.180798
2021-09-10 17:24:05.862719 : CheckPoint: Validation Loss  0.00059923, Best Loss  0.00059923
2021-09-10 17:24:05.952628 : Best Model Updated
2021-09-10 17:24:08.646896 : Epoch  1, Batch   1001, Loss  0.851413, Average Loss  0.873649, Time  0.181045
2021-09-10 17:24:10.258756 : Epoch  1, Batch   1002, Loss  0.854463, Average Loss  0.873487, Time  0.171870
2021-09-10 17:24:11.888793 : Epoch  1, Batch   1003, Loss  0.879089, Average Loss  0.873575, Time  0.171535
2021-09-10 17:24:13.493091 : Epoch  1, Batch   1004, Loss  0.892188, Average Loss  0.873732, Time  0.172256
2021-09-10 17:24:15.123258 : Epoch  1, Batch   1005, Loss  0.878991, Average Loss  0.873728, Time  0.175781
2021-09-10 17:24:16.738041 : Epoch  1, Batch   1006, Loss  0.870209, Average Loss  0.873658, Time  0.171317
2021-09-10 17:24:18.376758 : Epoch  1, Batch   1007, Loss  0.870134, Average Loss  0.873641, Time  0.171286
2021-09-10 17:24:19.999043 : Epoch  1, Batch   1008, Loss  0.884749, Average Loss  0.873642, Time  0.171451
2021-09-10 17:24:21.614782 : Epoch  1, Batch   1009, Loss  0.920143, Average Loss  0.873934, Time  0.171467
2021-09-10 17:24:23.252752 : Epoch  1, Batch   1010, Loss  0.873079, Average Loss  0.873930, Time  0.171658
2021-09-10 17:24:24.855760 : Epoch  1, Batch   1011, Loss  0.873130, Average Loss  0.873821, Time  0.179778
2021-09-10 17:24:26.458048 : Epoch  1, Batch   1012, Loss  0.847627, Average Loss  0.873587, Time  0.171520
2021-09-10 17:24:28.054796 : Epoch  1, Batch   1013, Loss  0.884024, Average Loss  0.873687, Time  0.171258
2021-09-10 17:24:29.674878 : Epoch  1, Batch   1014, Loss  0.884394, Average Loss  0.873567, Time  0.174534
2021-09-10 17:24:31.257840 : Epoch  1, Batch   1015, Loss  0.882711, Average Loss  0.873438, Time  0.175413
2021-09-10 17:24:32.852767 : Epoch  1, Batch   1016, Loss  0.880721, Average Loss  0.873591, Time  0.171170
2021-09-10 17:24:34.478804 : Epoch  1, Batch   1017, Loss  0.878264, Average Loss  0.873604, Time  0.171344
2021-09-10 17:24:36.096046 : Epoch  1, Batch   1018, Loss  0.841268, Average Loss  0.873399, Time  0.171135
2021-09-10 17:24:37.709759 : Epoch  1, Batch   1019, Loss  0.861687, Average Loss  0.873258, Time  0.171359
2021-09-10 17:24:39.317042 : Epoch  1, Batch   1020, Loss  0.855386, Average Loss  0.873263, Time  0.173356
2021-09-10 17:24:40.932757 : Epoch  1, Batch   1021, Loss  0.870722, Average Loss  0.873331, Time  0.171530
2021-09-10 17:24:42.554030 : Epoch  1, Batch   1022, Loss  0.852988, Average Loss  0.873335, Time  0.171068
2021-09-10 17:24:44.174834 : Epoch  1, Batch   1023, Loss  0.878711, Average Loss  0.873318, Time  0.171439
2021-09-10 17:24:45.798763 : Epoch  1, Batch   1024, Loss  0.869699, Average Loss  0.873385, Time  0.171634
2021-09-10 17:24:47.396773 : Epoch  1, Batch   1025, Loss  0.839311, Average Loss  0.873174, Time  0.171559
2021-09-10 17:24:48.993924 : Epoch  1, Batch   1026, Loss  0.932566, Average Loss  0.873387, Time  0.171309
2021-09-10 17:24:50.629783 : Epoch  1, Batch   1027, Loss  0.890651, Average Loss  0.873238, Time  0.178754
2021-09-10 17:24:52.247079 : Epoch  1, Batch   1028, Loss  0.835952, Average Loss  0.872902, Time  0.176563
2021-09-10 17:24:53.884071 : Epoch  1, Batch   1029, Loss  0.887236, Average Loss  0.872801, Time  0.180871
2021-09-10 17:24:55.481048 : Epoch  1, Batch   1030, Loss  0.865181, Average Loss  0.872830, Time  0.171236
2021-09-10 17:24:57.103036 : Epoch  1, Batch   1031, Loss  0.870184, Average Loss  0.872788, Time  0.171155
2021-09-10 17:24:58.715044 : Epoch  1, Batch   1032, Loss  0.849462, Average Loss  0.872724, Time  0.171097
2021-09-10 17:25:00.319071 : Epoch  1, Batch   1033, Loss  0.846069, Average Loss  0.872524, Time  0.177491
2021-09-10 17:25:01.948759 : Epoch  1, Batch   1034, Loss  0.876887, Average Loss  0.872509, Time  0.174290
2021-09-10 17:25:03.548839 : Epoch  1, Batch   1035, Loss  0.881500, Average Loss  0.872589, Time  0.171252
2021-09-10 17:25:05.170045 : Epoch  1, Batch   1036, Loss  0.879499, Average Loss  0.872589, Time  0.171175
2021-09-10 17:25:06.836042 : Epoch  1, Batch   1037, Loss  0.851098, Average Loss  0.872448, Time  0.171340
2021-09-10 17:25:08.437067 : Epoch  1, Batch   1038, Loss  0.870099, Average Loss  0.872618, Time  0.178905
2021-09-10 17:25:10.064832 : Epoch  1, Batch   1039, Loss  0.919254, Average Loss  0.872885, Time  0.172901
2021-09-10 17:25:11.665792 : Epoch  1, Batch   1040, Loss  0.872840, Average Loss  0.872874, Time  0.175835
2021-09-10 17:25:13.272797 : Epoch  1, Batch   1041, Loss  0.897368, Average Loss  0.872853, Time  0.171797
2021-09-10 17:25:14.876801 : Epoch  1, Batch   1042, Loss  0.847655, Average Loss  0.872687, Time  0.171442
2021-09-10 17:25:16.473784 : Epoch  1, Batch   1043, Loss  0.876980, Average Loss  0.872684, Time  0.172045
2021-09-10 17:25:18.099051 : Epoch  1, Batch   1044, Loss  0.883816, Average Loss  0.872603, Time  0.179385
2021-09-10 17:25:19.690069 : Epoch  1, Batch   1045, Loss  0.857766, Average Loss  0.872549, Time  0.174691
2021-09-10 17:25:21.287776 : Epoch  1, Batch   1046, Loss  0.850769, Average Loss  0.872144, Time  0.173717
2021-09-10 17:25:22.895788 : Epoch  1, Batch   1047, Loss  0.863272, Average Loss  0.872103, Time  0.175141
2021-09-10 17:25:24.515768 : Epoch  1, Batch   1048, Loss  0.844124, Average Loss  0.871856, Time  0.181381
2021-09-10 17:25:26.129872 : Epoch  1, Batch   1049, Loss  0.878305, Average Loss  0.871870, Time  0.179312
2021-09-10 17:25:27.726761 : Epoch  1, Batch   1050, Loss  0.856684, Average Loss  0.871786, Time  0.171669
2021-09-10 17:25:29.339835 : Epoch  1, Batch   1051, Loss  0.849963, Average Loss  0.871638, Time  0.172659
2021-09-10 17:25:30.932762 : Epoch  1, Batch   1052, Loss  0.857559, Average Loss  0.871602, Time  0.171656
2021-09-10 17:25:32.546813 : Epoch  1, Batch   1053, Loss  0.880464, Average Loss  0.871686, Time  0.178522
2021-09-10 17:25:34.136880 : Epoch  1, Batch   1054, Loss  0.865243, Average Loss  0.871644, Time  0.171615
2021-09-10 17:25:35.738845 : Epoch  1, Batch   1055, Loss  0.850428, Average Loss  0.871553, Time  0.171127
2021-09-10 17:25:37.353019 : Epoch  1, Batch   1056, Loss  0.872288, Average Loss  0.871505, Time  0.170938
2021-09-10 17:25:38.972792 : Epoch  1, Batch   1057, Loss  0.881213, Average Loss  0.871508, Time  0.171303
2021-09-10 17:25:40.542898 : Epoch  1, Batch   1058, Loss  0.844531, Average Loss  0.871391, Time  0.171816
2021-09-10 17:25:42.145067 : Epoch  1, Batch   1059, Loss  0.896089, Average Loss  0.871507, Time  0.172674
2021-09-10 17:25:43.744777 : Epoch  1, Batch   1060, Loss  0.830229, Average Loss  0.871262, Time  0.173151
2021-09-10 17:25:45.386823 : Epoch  1, Batch   1061, Loss  0.877968, Average Loss  0.871171, Time  0.181572
2021-09-10 17:25:46.971201 : Epoch  1, Batch   1062, Loss  0.897766, Average Loss  0.871220, Time  0.171634
2021-09-10 17:25:48.572787 : Epoch  1, Batch   1063, Loss  0.846502, Average Loss  0.871224, Time  0.174634
2021-09-10 17:25:50.168071 : Epoch  1, Batch   1064, Loss  0.859328, Average Loss  0.871311, Time  0.182506
2021-09-10 17:25:51.781032 : Epoch  1, Batch   1065, Loss  0.849714, Average Loss  0.871194, Time  0.171275
2021-09-10 17:25:53.409045 : Epoch  1, Batch   1066, Loss  0.864851, Average Loss  0.871212, Time  0.171367
2021-09-10 17:25:55.030780 : Epoch  1, Batch   1067, Loss  0.860254, Average Loss  0.871254, Time  0.171319
2021-09-10 17:25:56.659054 : Epoch  1, Batch   1068, Loss  0.857917, Average Loss  0.871105, Time  0.171243
2021-09-10 17:25:58.246378 : Epoch  1, Batch   1069, Loss  0.896932, Average Loss  0.871343, Time  0.172521
2021-09-10 17:25:59.830761 : Epoch  1, Batch   1070, Loss  0.850719, Average Loss  0.871158, Time  0.171455
2021-09-10 17:26:01.420767 : Epoch  1, Batch   1071, Loss  0.873088, Average Loss  0.871014, Time  0.171125
2021-09-10 17:26:03.041793 : Epoch  1, Batch   1072, Loss  0.891926, Average Loss  0.871046, Time  0.171331
2021-09-10 17:26:04.676771 : Epoch  1, Batch   1073, Loss  0.851228, Average Loss  0.870978, Time  0.171316
2021-09-10 17:26:06.308797 : Epoch  1, Batch   1074, Loss  0.920281, Average Loss  0.871299, Time  0.171365
2021-09-10 17:26:07.923809 : Epoch  1, Batch   1075, Loss  0.895791, Average Loss  0.871429, Time  0.171201
2021-09-10 17:26:09.524074 : Epoch  1, Batch   1076, Loss  0.904588, Average Loss  0.871604, Time  0.171994
2021-09-10 17:26:11.122804 : Epoch  1, Batch   1077, Loss  0.851362, Average Loss  0.871433, Time  0.172648
2021-09-10 17:26:12.730784 : Epoch  1, Batch   1078, Loss  0.864150, Average Loss  0.871544, Time  0.178029
2021-09-10 17:26:14.327044 : Epoch  1, Batch   1079, Loss  0.868372, Average Loss  0.871396, Time  0.171793
2021-09-10 17:26:15.946038 : Epoch  1, Batch   1080, Loss  0.882377, Average Loss  0.871556, Time  0.171004
2021-09-10 17:26:17.559891 : Epoch  1, Batch   1081, Loss  0.877719, Average Loss  0.871565, Time  0.171652
2021-09-10 17:26:19.212923 : Epoch  1, Batch   1082, Loss  0.864988, Average Loss  0.871482, Time  0.184023
2021-09-10 17:26:20.819765 : Epoch  1, Batch   1083, Loss  0.886509, Average Loss  0.871586, Time  0.172866
2021-09-10 17:26:22.429861 : Epoch  1, Batch   1084, Loss  0.888889, Average Loss  0.871620, Time  0.175636
2021-09-10 17:26:24.055790 : Epoch  1, Batch   1085, Loss  0.878087, Average Loss  0.871796, Time  0.173749
2021-09-10 17:26:25.680058 : Epoch  1, Batch   1086, Loss  0.889838, Average Loss  0.871990, Time  0.172951
2021-09-10 17:26:27.296373 : Epoch  1, Batch   1087, Loss  0.853042, Average Loss  0.871880, Time  0.174617
2021-09-10 17:26:28.890051 : Epoch  1, Batch   1088, Loss  0.868535, Average Loss  0.871874, Time  0.173498
2021-09-10 17:26:30.510894 : Epoch  1, Batch   1089, Loss  0.885921, Average Loss  0.872064, Time  0.171053
2021-09-10 17:26:32.136042 : Epoch  1, Batch   1090, Loss  0.862376, Average Loss  0.872134, Time  0.171141
2021-09-10 17:26:33.770059 : Epoch  1, Batch   1091, Loss  0.867984, Average Loss  0.872144, Time  0.172142
2021-09-10 17:26:35.392761 : Epoch  1, Batch   1092, Loss  0.847777, Average Loss  0.872040, Time  0.171432
2021-09-10 17:26:36.990807 : Epoch  1, Batch   1093, Loss  0.856642, Average Loss  0.871942, Time  0.171412
2021-09-10 17:26:38.604758 : Epoch  1, Batch   1094, Loss  0.882806, Average Loss  0.872087, Time  0.174435
2021-09-10 17:26:40.220040 : Epoch  1, Batch   1095, Loss  0.856910, Average Loss  0.872099, Time  0.171111
2021-09-10 17:26:41.845791 : Epoch  1, Batch   1096, Loss  0.856930, Average Loss  0.871972, Time  0.171165
2021-09-10 17:26:43.465800 : Epoch  1, Batch   1097, Loss  0.907172, Average Loss  0.872178, Time  0.171208
2021-09-10 17:26:45.069788 : Epoch  1, Batch   1098, Loss  0.879626, Average Loss  0.872280, Time  0.172238
2021-09-10 17:26:46.691859 : Epoch  1, Batch   1099, Loss  0.910379, Average Loss  0.872356, Time  0.171575
2021-09-10 17:26:48.311401 : Epoch  1, Batch   1100, Loss  0.845250, Average Loss  0.872163, Time  0.173350
2021-09-10 17:31:32.624735 : CheckPoint: Validation Loss  0.00061495, Best Loss  0.00059923
2021-09-10 17:31:34.249844 : Epoch  1, Batch   1101, Loss  0.879000, Average Loss  0.872272, Time  0.180624
2021-09-10 17:31:35.877758 : Epoch  1, Batch   1102, Loss  0.884748, Average Loss  0.872402, Time  0.171815
2021-09-10 17:31:37.506833 : Epoch  1, Batch   1103, Loss  0.864205, Average Loss  0.872436, Time  0.171350
2021-09-10 17:31:39.149025 : Epoch  1, Batch   1104, Loss  0.891349, Average Loss  0.872402, Time  0.171774
2021-09-10 17:31:40.758875 : Epoch  1, Batch   1105, Loss  0.858689, Average Loss  0.872377, Time  0.172518
2021-09-10 17:31:42.389977 : Epoch  1, Batch   1106, Loss  0.885173, Average Loss  0.872401, Time  0.172690
2021-09-10 17:31:44.021765 : Epoch  1, Batch   1107, Loss  0.872715, Average Loss  0.872336, Time  0.173590
2021-09-10 17:31:45.645762 : Epoch  1, Batch   1108, Loss  0.892636, Average Loss  0.872446, Time  0.177089
2021-09-10 17:31:47.280063 : Epoch  1, Batch   1109, Loss  0.913332, Average Loss  0.872630, Time  0.189255
2021-09-10 17:31:48.899065 : Epoch  1, Batch   1110, Loss  0.857354, Average Loss  0.872492, Time  0.176316
2021-09-10 17:31:50.531880 : Epoch  1, Batch   1111, Loss  0.855871, Average Loss  0.872268, Time  0.171678
2021-09-10 17:31:52.182030 : Epoch  1, Batch   1112, Loss  0.890029, Average Loss  0.872255, Time  0.171373
2021-09-10 17:31:53.845063 : Epoch  1, Batch   1113, Loss  0.853585, Average Loss  0.872282, Time  0.171882
2021-09-10 17:31:55.458778 : Epoch  1, Batch   1114, Loss  0.883020, Average Loss  0.872412, Time  0.172654
2021-09-10 17:31:57.075972 : Epoch  1, Batch   1115, Loss  0.879396, Average Loss  0.872357, Time  0.175392
2021-09-10 17:31:58.703096 : Epoch  1, Batch   1116, Loss  0.860658, Average Loss  0.872175, Time  0.171787
2021-09-10 17:32:00.317029 : Epoch  1, Batch   1117, Loss  0.888854, Average Loss  0.872308, Time  0.171309
2021-09-10 17:32:01.958815 : Epoch  1, Batch   1118, Loss  0.865900, Average Loss  0.872225, Time  0.183338
2021-09-10 17:32:03.591863 : Epoch  1, Batch   1119, Loss  0.886984, Average Loss  0.872326, Time  0.182017
2021-09-10 17:32:05.226064 : Epoch  1, Batch   1120, Loss  0.883593, Average Loss  0.872387, Time  0.174645
2021-09-10 17:32:06.835064 : Epoch  1, Batch   1121, Loss  0.845607, Average Loss  0.872235, Time  0.172638
2021-09-10 17:32:08.425780 : Epoch  1, Batch   1122, Loss  0.883679, Average Loss  0.872473, Time  0.171561
2021-09-10 17:32:10.038875 : Epoch  1, Batch   1123, Loss  0.909094, Average Loss  0.872683, Time  0.171110
2021-09-10 17:32:11.664037 : Epoch  1, Batch   1124, Loss  0.880913, Average Loss  0.872817, Time  0.171404
2021-09-10 17:32:13.308764 : Epoch  1, Batch   1125, Loss  0.894397, Average Loss  0.872900, Time  0.171296
2021-09-10 17:32:14.949033 : Epoch  1, Batch   1126, Loss  0.863770, Average Loss  0.872951, Time  0.171270
2021-09-10 17:32:16.586779 : Epoch  1, Batch   1127, Loss  0.841646, Average Loss  0.872789, Time  0.176624
2021-09-10 17:32:18.201069 : Epoch  1, Batch   1128, Loss  0.890490, Average Loss  0.872740, Time  0.171559
2021-09-10 17:32:19.828071 : Epoch  1, Batch   1129, Loss  0.854640, Average Loss  0.872645, Time  0.174823
2021-09-10 17:32:21.431836 : Epoch  1, Batch   1130, Loss  0.889314, Average Loss  0.872604, Time  0.171613
2021-09-10 17:32:23.072802 : Epoch  1, Batch   1131, Loss  0.890624, Average Loss  0.872684, Time  0.171158
2021-09-10 17:32:24.700842 : Epoch  1, Batch   1132, Loss  0.856302, Average Loss  0.872492, Time  0.171116
2021-09-10 17:32:26.353135 : Epoch  1, Batch   1133, Loss  0.861696, Average Loss  0.872622, Time  0.171617
2021-09-10 17:32:27.995933 : Epoch  1, Batch   1134, Loss  0.847123, Average Loss  0.872452, Time  0.172884
2021-09-10 17:32:29.623058 : Epoch  1, Batch   1135, Loss  0.910372, Average Loss  0.872732, Time  0.174206
2021-09-10 17:32:31.240806 : Epoch  1, Batch   1136, Loss  0.856598, Average Loss  0.872763, Time  0.171526
2021-09-10 17:32:32.898787 : Epoch  1, Batch   1137, Loss  0.915661, Average Loss  0.872992, Time  0.172428
2021-09-10 17:32:34.543830 : Epoch  1, Batch   1138, Loss  0.877402, Average Loss  0.873179, Time  0.179666
2021-09-10 17:32:36.173829 : Epoch  1, Batch   1139, Loss  0.858490, Average Loss  0.872931, Time  0.181467
2021-09-10 17:32:37.806059 : Epoch  1, Batch   1140, Loss  0.857244, Average Loss  0.872934, Time  0.184350
2021-09-10 17:32:39.418890 : Epoch  1, Batch   1141, Loss  0.887422, Average Loss  0.873087, Time  0.174610
2021-09-10 17:32:41.022793 : Epoch  1, Batch   1142, Loss  0.847390, Average Loss  0.873004, Time  0.171347
2021-09-10 17:32:42.655037 : Epoch  1, Batch   1143, Loss  0.868868, Average Loss  0.873017, Time  0.171527
2021-09-10 17:32:44.293057 : Epoch  1, Batch   1144, Loss  0.860024, Average Loss  0.872958, Time  0.171455
2021-09-10 17:32:45.936044 : Epoch  1, Batch   1145, Loss  0.854665, Average Loss  0.872823, Time  0.171313
2021-09-10 17:32:47.585866 : Epoch  1, Batch   1146, Loss  0.871394, Average Loss  0.872750, Time  0.171784
2021-09-10 17:32:49.241799 : Epoch  1, Batch   1147, Loss  0.865250, Average Loss  0.872729, Time  0.178631
2021-09-10 17:32:50.894057 : Epoch  1, Batch   1148, Loss  0.887387, Average Loss  0.872859, Time  0.172972
2021-09-10 17:32:52.490787 : Epoch  1, Batch   1149, Loss  0.893547, Average Loss  0.873113, Time  0.173379
2021-09-10 17:32:54.118047 : Epoch  1, Batch   1150, Loss  0.849401, Average Loss  0.872967, Time  0.172900
2021-09-10 17:32:55.762809 : Epoch  1, Batch   1151, Loss  0.873152, Average Loss  0.872993, Time  0.171801
2021-09-10 17:32:57.408907 : Epoch  1, Batch   1152, Loss  0.887181, Average Loss  0.873110, Time  0.172506
2021-09-10 17:32:59.026053 : Epoch  1, Batch   1153, Loss  0.879352, Average Loss  0.873038, Time  0.171646
2021-09-10 17:33:00.653938 : Epoch  1, Batch   1154, Loss  0.871014, Average Loss  0.873154, Time  0.175988
2021-09-10 17:33:02.259758 : Epoch  1, Batch   1155, Loss  0.881268, Average Loss  0.873108, Time  0.171509
2021-09-10 17:33:03.895042 : Epoch  1, Batch   1156, Loss  0.847747, Average Loss  0.872928, Time  0.171805
2021-09-10 17:33:05.546868 : Epoch  1, Batch   1157, Loss  0.865401, Average Loss  0.872930, Time  0.172080
2021-09-10 17:33:07.190151 : Epoch  1, Batch   1158, Loss  0.884754, Average Loss  0.872918, Time  0.171561
2021-09-10 17:33:08.815792 : Epoch  1, Batch   1159, Loss  0.872591, Average Loss  0.872863, Time  0.171288
2021-09-10 17:33:10.465825 : Epoch  1, Batch   1160, Loss  0.885624, Average Loss  0.872901, Time  0.172202
2021-09-10 17:33:12.111796 : Epoch  1, Batch   1161, Loss  0.857735, Average Loss  0.872767, Time  0.177569
2021-09-10 17:33:13.711867 : Epoch  1, Batch   1162, Loss  0.877785, Average Loss  0.872826, Time  0.171092
2021-09-10 17:33:15.339885 : Epoch  1, Batch   1163, Loss  0.855629, Average Loss  0.872694, Time  0.171766
2021-09-10 17:33:16.973845 : Epoch  1, Batch   1164, Loss  0.869322, Average Loss  0.872660, Time  0.171569
2021-09-10 17:33:18.589829 : Epoch  1, Batch   1165, Loss  0.878585, Average Loss  0.872704, Time  0.173815
2021-09-10 17:33:20.202075 : Epoch  1, Batch   1166, Loss  0.887961, Average Loss  0.872808, Time  0.173331
2021-09-10 17:33:21.837064 : Epoch  1, Batch   1167, Loss  0.860089, Average Loss  0.872682, Time  0.174645
2021-09-10 17:33:23.478052 : Epoch  1, Batch   1168, Loss  0.857256, Average Loss  0.872555, Time  0.174308
2021-09-10 17:33:25.109025 : Epoch  1, Batch   1169, Loss  0.867085, Average Loss  0.872644, Time  0.171249
2021-09-10 17:33:26.725074 : Epoch  1, Batch   1170, Loss  0.884869, Average Loss  0.872595, Time  0.184786
2021-09-10 17:33:28.334074 : Epoch  1, Batch   1171, Loss  0.873472, Average Loss  0.872483, Time  0.171542
2021-09-10 17:33:29.951058 : Epoch  1, Batch   1172, Loss  0.881788, Average Loss  0.872478, Time  0.171282
2021-09-10 17:33:31.584028 : Epoch  1, Batch   1173, Loss  0.878930, Average Loss  0.872517, Time  0.171570
2021-09-10 17:33:33.258768 : Epoch  1, Batch   1174, Loss  0.882794, Average Loss  0.872570, Time  0.170969
2021-09-10 17:33:34.890033 : Epoch  1, Batch   1175, Loss  0.875867, Average Loss  0.872584, Time  0.171398
2021-09-10 17:33:36.527794 : Epoch  1, Batch   1176, Loss  0.877871, Average Loss  0.872549, Time  0.171174
2021-09-10 17:33:38.164062 : Epoch  1, Batch   1177, Loss  0.847284, Average Loss  0.872372, Time  0.173936
2021-09-10 17:33:39.777061 : Epoch  1, Batch   1178, Loss  0.887173, Average Loss  0.872444, Time  0.173231
2021-09-10 17:33:41.369643 : Epoch  1, Batch   1179, Loss  0.866012, Average Loss  0.872470, Time  0.171530
2021-09-10 17:33:42.990064 : Epoch  1, Batch   1180, Loss  0.890448, Average Loss  0.872433, Time  0.175585
2021-09-10 17:33:44.622852 : Epoch  1, Batch   1181, Loss  0.853351, Average Loss  0.872387, Time  0.171613
2021-09-10 17:33:46.237831 : Epoch  1, Batch   1182, Loss  0.894384, Average Loss  0.872526, Time  0.171567
2021-09-10 17:33:47.862982 : Epoch  1, Batch   1183, Loss  0.879435, Average Loss  0.872456, Time  0.174217
2021-09-10 17:33:49.475774 : Epoch  1, Batch   1184, Loss  0.842026, Average Loss  0.872368, Time  0.172537
2021-09-10 17:33:51.081760 : Epoch  1, Batch   1185, Loss  0.852196, Average Loss  0.872035, Time  0.176756
2021-09-10 17:33:52.673889 : Epoch  1, Batch   1186, Loss  0.857161, Average Loss  0.871869, Time  0.176947
2021-09-10 17:33:54.299075 : Epoch  1, Batch   1187, Loss  0.888058, Average Loss  0.872093, Time  0.183131
2021-09-10 17:33:55.909448 : Epoch  1, Batch   1188, Loss  0.882705, Average Loss  0.872128, Time  0.171556
2021-09-10 17:33:57.496966 : Epoch  1, Batch   1189, Loss  0.896137, Average Loss  0.872129, Time  0.172459
2021-09-10 17:33:59.153098 : Epoch  1, Batch   1190, Loss  0.872806, Average Loss  0.872112, Time  0.177468
2021-09-10 17:34:00.781782 : Epoch  1, Batch   1191, Loss  0.867633, Average Loss  0.872120, Time  0.173220
2021-09-10 17:34:02.376068 : Epoch  1, Batch   1192, Loss  0.881251, Average Loss  0.872057, Time  0.171737
2021-09-10 17:34:04.001968 : Epoch  1, Batch   1193, Loss  0.868080, Average Loss  0.871903, Time  0.181572
2021-09-10 17:34:05.610970 : Epoch  1, Batch   1194, Loss  0.896887, Average Loss  0.872028, Time  0.172584
2021-09-10 17:34:07.243808 : Epoch  1, Batch   1195, Loss  0.863031, Average Loss  0.872146, Time  0.171852
2021-09-10 17:34:08.888068 : Epoch  1, Batch   1196, Loss  0.863066, Average Loss  0.872263, Time  0.172499
2021-09-10 17:34:10.501800 : Epoch  1, Batch   1197, Loss  0.899846, Average Loss  0.872561, Time  0.174159
2021-09-10 17:34:12.111016 : Epoch  1, Batch   1198, Loss  0.853835, Average Loss  0.872527, Time  0.175297
2021-09-10 17:34:13.735784 : Epoch  1, Batch   1199, Loss  0.865229, Average Loss  0.872472, Time  0.174826
2021-09-10 17:34:15.358844 : Epoch  1, Batch   1200, Loss  0.860690, Average Loss  0.872411, Time  0.179271
2021-09-10 17:38:59.654726 : CheckPoint: Validation Loss  0.00062243, Best Loss  0.00059923
2021-09-10 17:39:01.298970 : Epoch  1, Batch   1201, Loss  0.855248, Average Loss  0.872430, Time  0.189933
2021-09-10 17:39:02.895791 : Epoch  1, Batch   1202, Loss  0.878527, Average Loss  0.872550, Time  0.172802
2021-09-10 17:39:04.517931 : Epoch  1, Batch   1203, Loss  0.846526, Average Loss  0.872388, Time  0.179729
2021-09-10 17:39:06.142090 : Epoch  1, Batch   1204, Loss  0.881962, Average Loss  0.872336, Time  0.181043
2021-09-10 17:39:07.755044 : Epoch  1, Batch   1205, Loss  0.886202, Average Loss  0.872372, Time  0.175091
2021-09-10 17:39:09.347069 : Epoch  1, Batch   1206, Loss  0.869188, Average Loss  0.872367, Time  0.171654
2021-09-10 17:39:10.966796 : Epoch  1, Batch   1207, Loss  0.891261, Average Loss  0.872473, Time  0.172134
2021-09-10 17:39:12.593835 : Epoch  1, Batch   1208, Loss  0.864634, Average Loss  0.872372, Time  0.180978
2021-09-10 17:39:14.209059 : Epoch  1, Batch   1209, Loss  0.877223, Average Loss  0.872158, Time  0.172164
2021-09-10 17:39:15.846110 : Epoch  1, Batch   1210, Loss  0.821931, Average Loss  0.871902, Time  0.177327
2021-09-10 17:39:17.449152 : Epoch  1, Batch   1211, Loss  0.908499, Average Loss  0.872079, Time  0.175272
2021-09-10 17:39:19.090074 : Epoch  1, Batch   1212, Loss  0.892653, Average Loss  0.872304, Time  0.183660
2021-09-10 17:39:20.684078 : Epoch  1, Batch   1213, Loss  0.864835, Average Loss  0.872208, Time  0.171246
2021-09-10 17:39:22.282210 : Epoch  1, Batch   1214, Loss  0.854009, Average Loss  0.872056, Time  0.176278
2021-09-10 17:39:23.889068 : Epoch  1, Batch   1215, Loss  0.844590, Average Loss  0.871866, Time  0.174815
2021-09-10 17:39:25.552060 : Epoch  1, Batch   1216, Loss  0.841473, Average Loss  0.871669, Time  0.178697
2021-09-10 17:39:27.179078 : Epoch  1, Batch   1217, Loss  0.887967, Average Loss  0.871718, Time  0.174598
2021-09-10 17:39:28.789075 : Epoch  1, Batch   1218, Loss  0.867148, Average Loss  0.871847, Time  0.178714
2021-09-10 17:39:30.395935 : Epoch  1, Batch   1219, Loss  0.872650, Average Loss  0.871902, Time  0.172026
2021-09-10 17:39:31.991126 : Epoch  1, Batch   1220, Loss  0.863233, Average Loss  0.871941, Time  0.179160
2021-09-10 17:39:33.608125 : Epoch  1, Batch   1221, Loss  0.867910, Average Loss  0.871927, Time  0.172814
2021-09-10 17:39:35.208564 : Epoch  1, Batch   1222, Loss  0.857916, Average Loss  0.871952, Time  0.172257
2021-09-10 17:39:36.841782 : Epoch  1, Batch   1223, Loss  0.888016, Average Loss  0.871998, Time  0.171782
2021-09-10 17:39:38.465122 : Epoch  1, Batch   1224, Loss  0.851008, Average Loss  0.871905, Time  0.175453
2021-09-10 17:39:40.090066 : Epoch  1, Batch   1225, Loss  0.879527, Average Loss  0.872106, Time  0.174487
2021-09-10 17:39:41.718893 : Epoch  1, Batch   1226, Loss  0.883264, Average Loss  0.871859, Time  0.171897
2021-09-10 17:39:43.352040 : Epoch  1, Batch   1227, Loss  0.855013, Average Loss  0.871681, Time  0.171309
2021-09-10 17:39:44.976018 : Epoch  1, Batch   1228, Loss  0.857948, Average Loss  0.871791, Time  0.171648
2021-09-10 17:39:46.591947 : Epoch  1, Batch   1229, Loss  0.881113, Average Loss  0.871761, Time  0.179490
2021-09-10 17:39:48.214157 : Epoch  1, Batch   1230, Loss  0.860909, Average Loss  0.871739, Time  0.184347
2021-09-10 17:39:49.819003 : Epoch  1, Batch   1231, Loss  0.877667, Average Loss  0.871777, Time  0.175196
2021-09-10 17:39:51.425357 : Epoch  1, Batch   1232, Loss  0.911781, Average Loss  0.872088, Time  0.172112
2021-09-10 17:39:53.067011 : Epoch  1, Batch   1233, Loss  0.885523, Average Loss  0.872286, Time  0.179012
2021-09-10 17:39:54.689357 : Epoch  1, Batch   1234, Loss  0.865803, Average Loss  0.872230, Time  0.173737
2021-09-10 17:39:56.324855 : Epoch  1, Batch   1235, Loss  0.879999, Average Loss  0.872223, Time  0.172348
2021-09-10 17:39:57.954122 : Epoch  1, Batch   1236, Loss  0.870480, Average Loss  0.872178, Time  0.172486
2021-09-10 17:39:59.590053 : Epoch  1, Batch   1237, Loss  0.899927, Average Loss  0.872422, Time  0.178108
2021-09-10 17:40:01.205131 : Epoch  1, Batch   1238, Loss  0.884431, Average Loss  0.872493, Time  0.171936
2021-09-10 17:40:02.823056 : Epoch  1, Batch   1239, Loss  0.880859, Average Loss  0.872301, Time  0.172388
2021-09-10 17:40:04.460760 : Epoch  1, Batch   1240, Loss  0.857206, Average Loss  0.872223, Time  0.172733
2021-09-10 17:40:06.085167 : Epoch  1, Batch   1241, Loss  0.853047, Average Loss  0.872002, Time  0.177571
2021-09-10 17:40:07.698075 : Epoch  1, Batch   1242, Loss  0.868176, Average Loss  0.872104, Time  0.172121
2021-09-10 17:40:09.290063 : Epoch  1, Batch   1243, Loss  0.899583, Average Loss  0.872217, Time  0.174875
2021-09-10 17:40:10.895069 : Epoch  1, Batch   1244, Loss  0.846523, Average Loss  0.872031, Time  0.171561
2021-09-10 17:40:12.499168 : Epoch  1, Batch   1245, Loss  0.885445, Average Loss  0.872169, Time  0.173592
2021-09-10 17:40:14.108111 : Epoch  1, Batch   1246, Loss  0.884133, Average Loss  0.872336, Time  0.175289
2021-09-10 17:40:15.705105 : Epoch  1, Batch   1247, Loss  0.862100, Average Loss  0.872330, Time  0.175725
2021-09-10 17:40:17.305960 : Epoch  1, Batch   1248, Loss  0.839921, Average Loss  0.872309, Time  0.172211
2021-09-10 17:40:18.917746 : Epoch  1, Batch   1249, Loss  0.884038, Average Loss  0.872338, Time  0.171979
2021-09-10 17:40:20.522859 : Epoch  1, Batch   1250, Loss  0.852709, Average Loss  0.872318, Time  0.176326
2021-09-10 17:40:22.132068 : Epoch  1, Batch   1251, Loss  0.877317, Average Loss  0.872455, Time  0.188687
2021-09-10 17:40:23.729814 : Epoch  1, Batch   1252, Loss  0.829072, Average Loss  0.872312, Time  0.171817
2021-09-10 17:40:25.344962 : Epoch  1, Batch   1253, Loss  0.876019, Average Loss  0.872290, Time  0.171717
2021-09-10 17:40:26.959064 : Epoch  1, Batch   1254, Loss  0.868592, Average Loss  0.872307, Time  0.180803
2021-09-10 17:40:28.590846 : Epoch  1, Batch   1255, Loss  0.862520, Average Loss  0.872367, Time  0.179023
2021-09-10 17:40:30.222981 : Epoch  1, Batch   1256, Loss  0.863489, Average Loss  0.872323, Time  0.173257
2021-09-10 17:40:31.839757 : Epoch  1, Batch   1257, Loss  0.855347, Average Loss  0.872194, Time  0.176033
2021-09-10 17:40:33.427809 : Epoch  1, Batch   1258, Loss  0.887646, Average Loss  0.872409, Time  0.176591
2021-09-10 17:40:35.036907 : Epoch  1, Batch   1259, Loss  0.853618, Average Loss  0.872197, Time  0.176413
2021-09-10 17:40:36.675120 : Epoch  1, Batch   1260, Loss  0.896220, Average Loss  0.872527, Time  0.183773
2021-09-10 17:40:38.289062 : Epoch  1, Batch   1261, Loss  0.860513, Average Loss  0.872440, Time  0.179795
2021-09-10 17:40:39.921068 : Epoch  1, Batch   1262, Loss  0.898019, Average Loss  0.872441, Time  0.173201
2021-09-10 17:40:41.534792 : Epoch  1, Batch   1263, Loss  0.893321, Average Loss  0.872675, Time  0.175315
2021-09-10 17:40:43.152097 : Epoch  1, Batch   1264, Loss  0.866999, Average Loss  0.872714, Time  0.174840
2021-09-10 17:40:44.744010 : Epoch  1, Batch   1265, Loss  0.879079, Average Loss  0.872860, Time  0.171814
2021-09-10 17:40:46.358845 : Epoch  1, Batch   1266, Loss  0.867381, Average Loss  0.872873, Time  0.172580
2021-09-10 17:40:47.973076 : Epoch  1, Batch   1267, Loss  0.858576, Average Loss  0.872865, Time  0.171882
2021-09-10 17:40:49.567115 : Epoch  1, Batch   1268, Loss  0.864646, Average Loss  0.872898, Time  0.174715
2021-09-10 17:40:51.167874 : Epoch  1, Batch   1269, Loss  0.856816, Average Loss  0.872698, Time  0.171581
2021-09-10 17:40:52.795803 : Epoch  1, Batch   1270, Loss  0.873033, Average Loss  0.872809, Time  0.172194
2021-09-10 17:40:54.444063 : Epoch  1, Batch   1271, Loss  0.862659, Average Loss  0.872757, Time  0.173750
2021-09-10 17:40:56.053903 : Epoch  1, Batch   1272, Loss  0.840121, Average Loss  0.872498, Time  0.171895
2021-09-10 17:40:57.659060 : Epoch  1, Batch   1273, Loss  0.859719, Average Loss  0.872541, Time  0.171570
2021-09-10 17:40:59.285849 : Epoch  1, Batch   1274, Loss  0.878353, Average Loss  0.872331, Time  0.180135
2021-09-10 17:41:00.899184 : Epoch  1, Batch   1275, Loss  0.889211, Average Loss  0.872298, Time  0.173960
2021-09-10 17:41:02.565051 : Epoch  1, Batch   1276, Loss  0.884024, Average Loss  0.872195, Time  0.171651
2021-09-10 17:41:04.191984 : Epoch  1, Batch   1277, Loss  0.873104, Average Loss  0.872304, Time  0.175619
2021-09-10 17:41:05.794772 : Epoch  1, Batch   1278, Loss  0.838652, Average Loss  0.872176, Time  0.172195
2021-09-10 17:41:07.391544 : Epoch  1, Batch   1279, Loss  0.856531, Average Loss  0.872117, Time  0.171574
2021-09-10 17:41:08.981068 : Epoch  1, Batch   1280, Loss  0.905428, Average Loss  0.872232, Time  0.174868
2021-09-10 17:41:10.603080 : Epoch  1, Batch   1281, Loss  0.882183, Average Loss  0.872255, Time  0.177510
2021-09-10 17:41:12.216064 : Epoch  1, Batch   1282, Loss  0.873898, Average Loss  0.872299, Time  0.174676
2021-09-10 17:41:13.859063 : Epoch  1, Batch   1283, Loss  0.871925, Average Loss  0.872226, Time  0.199811
2021-09-10 17:41:15.498082 : Epoch  1, Batch   1284, Loss  0.888389, Average Loss  0.872224, Time  0.176819
2021-09-10 17:41:17.129071 : Epoch  1, Batch   1285, Loss  0.866518, Average Loss  0.872166, Time  0.174258
2021-09-10 17:41:18.750888 : Epoch  1, Batch   1286, Loss  0.859255, Average Loss  0.872013, Time  0.176793
2021-09-10 17:41:20.368109 : Epoch  1, Batch   1287, Loss  0.884010, Average Loss  0.872168, Time  0.177284
2021-09-10 17:41:21.985795 : Epoch  1, Batch   1288, Loss  0.851424, Average Loss  0.872082, Time  0.177552
2021-09-10 17:41:23.605821 : Epoch  1, Batch   1289, Loss  0.868291, Average Loss  0.871994, Time  0.171840
2021-09-10 17:41:25.229949 : Epoch  1, Batch   1290, Loss  0.877698, Average Loss  0.872071, Time  0.171661
2021-09-10 17:41:26.849076 : Epoch  1, Batch   1291, Loss  0.861654, Average Loss  0.872039, Time  0.171994
2021-09-10 17:41:28.447064 : Epoch  1, Batch   1292, Loss  0.890244, Average Loss  0.872252, Time  0.174958
2021-09-10 17:41:30.074786 : Epoch  1, Batch   1293, Loss  0.857501, Average Loss  0.872256, Time  0.180020
2021-09-10 17:41:31.691774 : Epoch  1, Batch   1294, Loss  0.837034, Average Loss  0.872027, Time  0.173121
2021-09-10 17:41:33.320751 : Epoch  1, Batch   1295, Loss  0.866079, Average Loss  0.872073, Time  0.179999
2021-09-10 17:41:34.965071 : Epoch  1, Batch   1296, Loss  0.850835, Average Loss  0.872042, Time  0.171724
2021-09-10 17:41:36.579808 : Epoch  1, Batch   1297, Loss  0.842739, Average Loss  0.871720, Time  0.171600
2021-09-10 17:41:38.197104 : Epoch  1, Batch   1298, Loss  0.866879, Average Loss  0.871656, Time  0.172327
2021-09-10 17:41:39.815093 : Epoch  1, Batch   1299, Loss  0.875411, Average Loss  0.871482, Time  0.173208
2021-09-10 17:41:41.444806 : Epoch  1, Batch   1300, Loss  0.884451, Average Loss  0.871678, Time  0.175160
2021-09-10 17:46:28.418730 : CheckPoint: Validation Loss  0.00060250, Best Loss  0.00059923
2021-09-10 17:46:30.061975 : Epoch  1, Batch   1301, Loss  0.872211, Average Loss  0.871644, Time  0.181802
2021-09-10 17:46:31.671783 : Epoch  1, Batch   1302, Loss  0.880479, Average Loss  0.871622, Time  0.171157
2021-09-10 17:46:33.285022 : Epoch  1, Batch   1303, Loss  0.898255, Average Loss  0.871793, Time  0.170660
2021-09-10 17:46:34.911024 : Epoch  1, Batch   1304, Loss  0.878926, Average Loss  0.871730, Time  0.170964
2021-09-10 17:46:36.515146 : Epoch  1, Batch   1305, Loss  0.904606, Average Loss  0.871960, Time  0.171549
2021-09-10 17:46:38.108789 : Epoch  1, Batch   1306, Loss  0.878860, Average Loss  0.871928, Time  0.171382
2021-09-10 17:46:39.691051 : Epoch  1, Batch   1307, Loss  0.869361, Average Loss  0.871912, Time  0.171036
2021-09-10 17:46:41.297067 : Epoch  1, Batch   1308, Loss  0.874465, Average Loss  0.871821, Time  0.173127
2021-09-10 17:46:42.911060 : Epoch  1, Batch   1309, Loss  0.856180, Average Loss  0.871535, Time  0.172726
2021-09-10 17:46:44.501408 : Epoch  1, Batch   1310, Loss  0.852367, Average Loss  0.871510, Time  0.173468
2021-09-10 17:46:46.111060 : Epoch  1, Batch   1311, Loss  0.856848, Average Loss  0.871515, Time  0.173871
2021-09-10 17:46:47.691101 : Epoch  1, Batch   1312, Loss  0.893650, Average Loss  0.871533, Time  0.173199
2021-09-10 17:46:49.302060 : Epoch  1, Batch   1313, Loss  0.883377, Average Loss  0.871682, Time  0.180526
2021-09-10 17:46:50.905771 : Epoch  1, Batch   1314, Loss  0.901543, Average Loss  0.871775, Time  0.171042
2021-09-10 17:46:52.514064 : Epoch  1, Batch   1315, Loss  0.919215, Average Loss  0.871974, Time  0.172768
2021-09-10 17:46:54.111852 : Epoch  1, Batch   1316, Loss  0.857440, Average Loss  0.871958, Time  0.171469
2021-09-10 17:46:55.699090 : Epoch  1, Batch   1317, Loss  0.868649, Average Loss  0.871857, Time  0.174222
2021-09-10 17:46:57.286060 : Epoch  1, Batch   1318, Loss  0.843996, Average Loss  0.871747, Time  0.171066
2021-09-10 17:46:58.873059 : Epoch  1, Batch   1319, Loss  0.885107, Average Loss  0.871738, Time  0.173926
2021-09-10 17:47:00.468762 : Epoch  1, Batch   1320, Loss  0.832521, Average Loss  0.871482, Time  0.174449
2021-09-10 17:47:02.057763 : Epoch  1, Batch   1321, Loss  0.879467, Average Loss  0.871652, Time  0.174463
2021-09-10 17:47:03.640456 : Epoch  1, Batch   1322, Loss  0.873768, Average Loss  0.871602, Time  0.171410
2021-09-10 17:47:05.224058 : Epoch  1, Batch   1323, Loss  0.865620, Average Loss  0.871385, Time  0.170892
2021-09-10 17:47:06.836069 : Epoch  1, Batch   1324, Loss  0.864343, Average Loss  0.871302, Time  0.175790
2021-09-10 17:47:08.447229 : Epoch  1, Batch   1325, Loss  0.862869, Average Loss  0.871144, Time  0.176091
2021-09-10 17:47:10.033814 : Epoch  1, Batch   1326, Loss  0.867410, Average Loss  0.871163, Time  0.183648
2021-09-10 17:47:11.637068 : Epoch  1, Batch   1327, Loss  0.901917, Average Loss  0.871464, Time  0.171042
2021-09-10 17:47:13.250807 : Epoch  1, Batch   1328, Loss  0.880158, Average Loss  0.871412, Time  0.173890
2021-09-10 17:47:14.841877 : Epoch  1, Batch   1329, Loss  0.874534, Average Loss  0.871512, Time  0.171048
2021-09-10 17:47:16.460853 : Epoch  1, Batch   1330, Loss  0.852804, Average Loss  0.871329, Time  0.177124
2021-09-10 17:47:18.068824 : Epoch  1, Batch   1331, Loss  0.849554, Average Loss  0.871124, Time  0.180074
2021-09-10 17:47:19.651312 : Epoch  1, Batch   1332, Loss  0.905382, Average Loss  0.871369, Time  0.172053
2021-09-10 17:47:21.261762 : Epoch  1, Batch   1333, Loss  0.878848, Average Loss  0.871455, Time  0.171006
2021-09-10 17:47:22.861071 : Epoch  1, Batch   1334, Loss  0.857915, Average Loss  0.871509, Time  0.179136
2021-09-10 17:47:24.476728 : Epoch  1, Batch   1335, Loss  0.881527, Average Loss  0.871365, Time  0.177748
2021-09-10 17:47:26.060054 : Epoch  1, Batch   1336, Loss  0.853324, Average Loss  0.871348, Time  0.172633
2021-09-10 17:47:27.676068 : Epoch  1, Batch   1337, Loss  0.858386, Average Loss  0.871062, Time  0.177004
2021-09-10 17:47:29.310769 : Epoch  1, Batch   1338, Loss  0.860826, Average Loss  0.870979, Time  0.172104
2021-09-10 17:47:30.913391 : Epoch  1, Batch   1339, Loss  0.870170, Average Loss  0.871037, Time  0.182128
2021-09-10 17:47:32.485805 : Epoch  1, Batch   1340, Loss  0.871846, Average Loss  0.871110, Time  0.170886
2021-09-10 17:47:34.059491 : Epoch  1, Batch   1341, Loss  0.822109, Average Loss  0.870784, Time  0.171727
2021-09-10 17:47:35.648801 : Epoch  1, Batch   1342, Loss  0.870624, Average Loss  0.870900, Time  0.173815
2021-09-10 17:47:37.255798 : Epoch  1, Batch   1343, Loss  0.869584, Average Loss  0.870904, Time  0.171374
2021-09-10 17:47:38.865769 : Epoch  1, Batch   1344, Loss  0.894155, Average Loss  0.871074, Time  0.171731
2021-09-10 17:47:40.447824 : Epoch  1, Batch   1345, Loss  0.860670, Average Loss  0.871104, Time  0.171030
2021-09-10 17:47:42.054807 : Epoch  1, Batch   1346, Loss  0.911739, Average Loss  0.871306, Time  0.172556
2021-09-10 17:47:43.667063 : Epoch  1, Batch   1347, Loss  0.889362, Average Loss  0.871427, Time  0.174531
2021-09-10 17:47:45.256069 : Epoch  1, Batch   1348, Loss  0.864699, Average Loss  0.871313, Time  0.174435
2021-09-10 17:47:46.842093 : Epoch  1, Batch   1349, Loss  0.836342, Average Loss  0.871027, Time  0.176371
2021-09-10 17:47:48.437818 : Epoch  1, Batch   1350, Loss  0.896252, Average Loss  0.871261, Time  0.173589
2021-09-10 17:47:50.042056 : Epoch  1, Batch   1351, Loss  0.885357, Average Loss  0.871322, Time  0.173229
2021-09-10 17:47:51.619746 : Epoch  1, Batch   1352, Loss  0.901535, Average Loss  0.871394, Time  0.170962
2021-09-10 17:47:53.213923 : Epoch  1, Batch   1353, Loss  0.877309, Average Loss  0.871384, Time  0.176657
2021-09-10 17:47:54.799825 : Epoch  1, Batch   1354, Loss  0.851960, Average Loss  0.871289, Time  0.172529
2021-09-10 17:47:56.389061 : Epoch  1, Batch   1355, Loss  0.867205, Average Loss  0.871218, Time  0.184134
2021-09-10 17:47:57.976368 : Epoch  1, Batch   1356, Loss  0.901106, Average Loss  0.871485, Time  0.172008
2021-09-10 17:47:59.588813 : Epoch  1, Batch   1357, Loss  0.858978, Average Loss  0.871453, Time  0.178666
2021-09-10 17:48:01.179063 : Epoch  1, Batch   1358, Loss  0.884295, Average Loss  0.871451, Time  0.174722
2021-09-10 17:48:02.749456 : Epoch  1, Batch   1359, Loss  0.843223, Average Loss  0.871304, Time  0.170363
2021-09-10 17:48:04.320105 : Epoch  1, Batch   1360, Loss  0.863528, Average Loss  0.871193, Time  0.171896
2021-09-10 17:48:05.942133 : Epoch  1, Batch   1361, Loss  0.873323, Average Loss  0.871271, Time  0.171437
2021-09-10 17:48:07.540354 : Epoch  1, Batch   1362, Loss  0.864290, Average Loss  0.871204, Time  0.173751
2021-09-10 17:48:09.136126 : Epoch  1, Batch   1363, Loss  0.866046, Average Loss  0.871256, Time  0.178689
2021-09-10 17:48:10.746860 : Epoch  1, Batch   1364, Loss  0.856960, Average Loss  0.871194, Time  0.171017
2021-09-10 17:48:12.343111 : Epoch  1, Batch   1365, Loss  0.883131, Average Loss  0.871217, Time  0.176190
2021-09-10 17:48:13.953845 : Epoch  1, Batch   1366, Loss  0.887907, Average Loss  0.871217, Time  0.175776
2021-09-10 17:48:15.567094 : Epoch  1, Batch   1367, Loss  0.909523, Average Loss  0.871464, Time  0.184875
2021-09-10 17:48:17.196086 : Epoch  1, Batch   1368, Loss  0.845426, Average Loss  0.871405, Time  0.170836
2021-09-10 17:48:18.812065 : Epoch  1, Batch   1369, Loss  0.834030, Average Loss  0.871239, Time  0.175761
2021-09-10 17:48:20.397180 : Epoch  1, Batch   1370, Loss  0.881982, Average Loss  0.871225, Time  0.175011
2021-09-10 17:48:21.980083 : Epoch  1, Batch   1371, Loss  0.877799, Average Loss  0.871247, Time  0.174978
2021-09-10 17:48:23.573059 : Epoch  1, Batch   1372, Loss  0.866939, Average Loss  0.871172, Time  0.183520
2021-09-10 17:48:25.200850 : Epoch  1, Batch   1373, Loss  0.889487, Average Loss  0.871225, Time  0.171453
2021-09-10 17:48:26.790043 : Epoch  1, Batch   1374, Loss  0.856211, Average Loss  0.871092, Time  0.170510
2021-09-10 17:48:28.370073 : Epoch  1, Batch   1375, Loss  0.881375, Average Loss  0.871120, Time  0.171062
2021-09-10 17:48:29.993076 : Epoch  1, Batch   1376, Loss  0.866151, Average Loss  0.871061, Time  0.170253
2021-09-10 17:48:31.581550 : Epoch  1, Batch   1377, Loss  0.850695, Average Loss  0.871078, Time  0.171663
2021-09-10 17:48:33.221108 : Epoch  1, Batch   1378, Loss  0.865371, Average Loss  0.870969, Time  0.171758
2021-09-10 17:48:34.808066 : Epoch  1, Batch   1379, Loss  0.874980, Average Loss  0.871014, Time  0.170613
2021-09-10 17:48:36.388531 : Epoch  1, Batch   1380, Loss  0.888952, Average Loss  0.871007, Time  0.174045
2021-09-10 17:48:37.976833 : Epoch  1, Batch   1381, Loss  0.889867, Average Loss  0.871189, Time  0.178508
2021-09-10 17:48:39.597964 : Epoch  1, Batch   1382, Loss  0.856005, Average Loss  0.870997, Time  0.173527
2021-09-10 17:48:41.175383 : Epoch  1, Batch   1383, Loss  0.856787, Average Loss  0.870884, Time  0.171108
2021-09-10 17:48:42.758069 : Epoch  1, Batch   1384, Loss  0.845008, Average Loss  0.870899, Time  0.174651
2021-09-10 17:48:44.340083 : Epoch  1, Batch   1385, Loss  0.878136, Average Loss  0.871029, Time  0.172312
2021-09-10 17:48:45.932067 : Epoch  1, Batch   1386, Loss  0.877583, Average Loss  0.871131, Time  0.175022
2021-09-10 17:48:47.546806 : Epoch  1, Batch   1387, Loss  0.860174, Average Loss  0.870991, Time  0.171025
2021-09-10 17:48:49.155787 : Epoch  1, Batch   1388, Loss  0.881520, Average Loss  0.870985, Time  0.174464
2021-09-10 17:48:50.733602 : Epoch  1, Batch   1389, Loss  0.863511, Average Loss  0.870822, Time  0.175578
2021-09-10 17:48:52.327878 : Epoch  1, Batch   1390, Loss  0.875481, Average Loss  0.870836, Time  0.170865
2021-09-10 17:48:53.945059 : Epoch  1, Batch   1391, Loss  0.891751, Average Loss  0.870956, Time  0.173283
2021-09-10 17:48:55.554060 : Epoch  1, Batch   1392, Loss  0.898692, Average Loss  0.871043, Time  0.171243
2021-09-10 17:48:57.148063 : Epoch  1, Batch   1393, Loss  0.895733, Average Loss  0.871182, Time  0.171079
2021-09-10 17:48:58.750075 : Epoch  1, Batch   1394, Loss  0.847835, Average Loss  0.870936, Time  0.171690
2021-09-10 17:49:00.345896 : Epoch  1, Batch   1395, Loss  0.866364, Average Loss  0.870953, Time  0.176427
2021-09-10 17:49:01.922059 : Epoch  1, Batch   1396, Loss  0.858361, Average Loss  0.870930, Time  0.172921
2021-09-10 17:49:03.508064 : Epoch  1, Batch   1397, Loss  0.856171, Average Loss  0.870711, Time  0.174070
2021-09-10 17:49:05.098058 : Epoch  1, Batch   1398, Loss  0.875926, Average Loss  0.870822, Time  0.170732
2021-09-10 17:49:06.709065 : Epoch  1, Batch   1399, Loss  0.876613, Average Loss  0.870879, Time  0.175112
2021-09-10 17:49:08.300970 : Epoch  1, Batch   1400, Loss  0.869819, Average Loss  0.870924, Time  0.176072
2021-09-10 17:53:56.001732 : CheckPoint: Validation Loss  0.00060332, Best Loss  0.00059923
2021-09-10 17:53:57.648967 : Epoch  1, Batch   1401, Loss  0.856708, Average Loss  0.870932, Time  0.180119
2021-09-10 17:53:59.262846 : Epoch  1, Batch   1402, Loss  0.846077, Average Loss  0.870769, Time  0.171592
2021-09-10 17:54:00.869020 : Epoch  1, Batch   1403, Loss  0.843329, Average Loss  0.870753, Time  0.170583
2021-09-10 17:54:02.475973 : Epoch  1, Batch   1404, Loss  0.858300, Average Loss  0.870635, Time  0.170850
2021-09-10 17:54:04.079775 : Epoch  1, Batch   1405, Loss  0.886680, Average Loss  0.870637, Time  0.170841
2021-09-10 17:54:05.698024 : Epoch  1, Batch   1406, Loss  0.885362, Average Loss  0.870718, Time  0.170506
2021-09-10 17:54:07.313028 : Epoch  1, Batch   1407, Loss  0.869315, Average Loss  0.870609, Time  0.170450
2021-09-10 17:54:08.922877 : Epoch  1, Batch   1408, Loss  0.886001, Average Loss  0.870715, Time  0.170456
2021-09-10 17:54:10.540037 : Epoch  1, Batch   1409, Loss  0.857651, Average Loss  0.870618, Time  0.170833
2021-09-10 17:54:12.161023 : Epoch  1, Batch   1410, Loss  0.874549, Average Loss  0.870881, Time  0.170310
2021-09-10 17:54:13.748023 : Epoch  1, Batch   1411, Loss  0.841821, Average Loss  0.870547, Time  0.170625
2021-09-10 17:54:15.320703 : Epoch  1, Batch   1412, Loss  0.870243, Average Loss  0.870435, Time  0.170817
2021-09-10 17:54:16.934156 : Epoch  1, Batch   1413, Loss  0.870134, Average Loss  0.870462, Time  0.170235
2021-09-10 17:54:18.544042 : Epoch  1, Batch   1414, Loss  0.837349, Average Loss  0.870378, Time  0.170660
2021-09-10 17:54:20.150775 : Epoch  1, Batch   1415, Loss  0.879081, Average Loss  0.870551, Time  0.170629
2021-09-10 17:54:21.751813 : Epoch  1, Batch   1416, Loss  0.884520, Average Loss  0.870766, Time  0.170764
2021-09-10 17:54:23.358034 : Epoch  1, Batch   1417, Loss  0.894602, Average Loss  0.870799, Time  0.170385
2021-09-10 17:54:24.986770 : Epoch  1, Batch   1418, Loss  0.834962, Average Loss  0.870638, Time  0.170991
2021-09-10 17:54:26.573891 : Epoch  1, Batch   1419, Loss  0.867121, Average Loss  0.870611, Time  0.170769
2021-09-10 17:54:28.178075 : Epoch  1, Batch   1420, Loss  0.872954, Average Loss  0.870659, Time  0.171303
2021-09-10 17:54:29.800783 : Epoch  1, Batch   1421, Loss  0.882454, Average Loss  0.870732, Time  0.174008
2021-09-10 17:54:31.446069 : Epoch  1, Batch   1422, Loss  0.872403, Average Loss  0.870804, Time  0.180076
2021-09-10 17:54:33.032438 : Epoch  1, Batch   1423, Loss  0.876018, Average Loss  0.870744, Time  0.170709
2021-09-10 17:54:34.638075 : Epoch  1, Batch   1424, Loss  0.887696, Average Loss  0.870928, Time  0.170732
2021-09-10 17:54:36.233178 : Epoch  1, Batch   1425, Loss  0.880619, Average Loss  0.870933, Time  0.172204
2021-09-10 17:54:37.820069 : Epoch  1, Batch   1426, Loss  0.862669, Average Loss  0.870830, Time  0.171192
2021-09-10 17:54:39.414875 : Epoch  1, Batch   1427, Loss  0.873007, Average Loss  0.870920, Time  0.174390
2021-09-10 17:54:41.002967 : Epoch  1, Batch   1428, Loss  0.857656, Average Loss  0.870919, Time  0.172921
2021-09-10 17:54:42.578753 : Epoch  1, Batch   1429, Loss  0.893778, Average Loss  0.870982, Time  0.171281
2021-09-10 17:54:44.174073 : Epoch  1, Batch   1430, Loss  0.894740, Average Loss  0.871151, Time  0.173271
2021-09-10 17:54:45.776904 : Epoch  1, Batch   1431, Loss  0.838876, Average Loss  0.870957, Time  0.175769
2021-09-10 17:54:47.371065 : Epoch  1, Batch   1432, Loss  0.871798, Average Loss  0.870757, Time  0.185785
2021-09-10 17:54:48.957065 : Epoch  1, Batch   1433, Loss  0.868958, Average Loss  0.870675, Time  0.175018
2021-09-10 17:54:50.535552 : Epoch  1, Batch   1434, Loss  0.889670, Average Loss  0.870794, Time  0.170357
2021-09-10 17:54:52.108335 : Epoch  1, Batch   1435, Loss  0.883305, Average Loss  0.870811, Time  0.171978
2021-09-10 17:54:53.682252 : Epoch  1, Batch   1436, Loss  0.890403, Average Loss  0.870910, Time  0.177434
2021-09-10 17:54:55.251818 : Epoch  1, Batch   1437, Loss  0.887300, Average Loss  0.870847, Time  0.175062
2021-09-10 17:54:56.884817 : Epoch  1, Batch   1438, Loss  0.877506, Average Loss  0.870812, Time  0.176503
2021-09-10 17:54:58.477075 : Epoch  1, Batch   1439, Loss  0.879065, Average Loss  0.870803, Time  0.171058
2021-09-10 17:55:00.080075 : Epoch  1, Batch   1440, Loss  0.851647, Average Loss  0.870776, Time  0.177830
2021-09-10 17:55:01.704063 : Epoch  1, Batch   1441, Loss  0.871518, Average Loss  0.870868, Time  0.174744
2021-09-10 17:55:03.303811 : Epoch  1, Batch   1442, Loss  0.853920, Average Loss  0.870797, Time  0.174528
2021-09-10 17:55:04.906895 : Epoch  1, Batch   1443, Loss  0.881743, Average Loss  0.870707, Time  0.177698
2021-09-10 17:55:06.509063 : Epoch  1, Batch   1444, Loss  0.856044, Average Loss  0.870755, Time  0.170748
2021-09-10 17:55:08.120757 : Epoch  1, Batch   1445, Loss  0.860231, Average Loss  0.870629, Time  0.179662
2021-09-10 17:55:09.718981 : Epoch  1, Batch   1446, Loss  0.854328, Average Loss  0.870480, Time  0.170919
2021-09-10 17:55:11.323855 : Epoch  1, Batch   1447, Loss  0.884984, Average Loss  0.870594, Time  0.173468
2021-09-10 17:55:12.950782 : Epoch  1, Batch   1448, Loss  0.872267, Average Loss  0.870756, Time  0.183043
2021-09-10 17:55:14.543048 : Epoch  1, Batch   1449, Loss  0.885872, Average Loss  0.870765, Time  0.173264
2021-09-10 17:55:16.146070 : Epoch  1, Batch   1450, Loss  0.860094, Average Loss  0.870802, Time  0.170955
2021-09-10 17:55:17.747060 : Epoch  1, Batch   1451, Loss  0.855583, Average Loss  0.870694, Time  0.170704
2021-09-10 17:55:19.346333 : Epoch  1, Batch   1452, Loss  0.870428, Average Loss  0.870900, Time  0.178879
2021-09-10 17:55:20.937828 : Epoch  1, Batch   1453, Loss  0.862186, Average Loss  0.870831, Time  0.171051
2021-09-10 17:55:22.530772 : Epoch  1, Batch   1454, Loss  0.870267, Average Loss  0.870840, Time  0.170928
2021-09-10 17:55:24.137963 : Epoch  1, Batch   1455, Loss  0.865291, Average Loss  0.870853, Time  0.172157
2021-09-10 17:55:25.745816 : Epoch  1, Batch   1456, Loss  0.874383, Average Loss  0.870908, Time  0.173686
2021-09-10 17:55:27.359816 : Epoch  1, Batch   1457, Loss  0.857513, Average Loss  0.870919, Time  0.174903
2021-09-10 17:55:28.968833 : Epoch  1, Batch   1458, Loss  0.843660, Average Loss  0.870699, Time  0.179196
2021-09-10 17:55:30.569879 : Epoch  1, Batch   1459, Loss  0.877199, Average Loss  0.870817, Time  0.170579
2021-09-10 17:55:32.194914 : Epoch  1, Batch   1460, Loss  0.880847, Average Loss  0.870740, Time  0.173628
2021-09-10 17:55:33.809063 : Epoch  1, Batch   1461, Loss  0.857773, Average Loss  0.870726, Time  0.179811
2021-09-10 17:55:35.413071 : Epoch  1, Batch   1462, Loss  0.883228, Average Loss  0.870652, Time  0.172938
2021-09-10 17:55:36.997778 : Epoch  1, Batch   1463, Loss  0.825729, Average Loss  0.870314, Time  0.172981
2021-09-10 17:55:38.602808 : Epoch  1, Batch   1464, Loss  0.885457, Average Loss  0.870407, Time  0.171676
2021-09-10 17:55:40.205497 : Epoch  1, Batch   1465, Loss  0.894969, Average Loss  0.870486, Time  0.174338
2021-09-10 17:55:41.797057 : Epoch  1, Batch   1466, Loss  0.884760, Average Loss  0.870573, Time  0.170472
2021-09-10 17:55:43.394094 : Epoch  1, Batch   1467, Loss  0.873408, Average Loss  0.870647, Time  0.174178
2021-09-10 17:55:44.971085 : Epoch  1, Batch   1468, Loss  0.836350, Average Loss  0.870506, Time  0.174142
2021-09-10 17:55:46.555073 : Epoch  1, Batch   1469, Loss  0.870067, Average Loss  0.870572, Time  0.171471
2021-09-10 17:55:48.152837 : Epoch  1, Batch   1470, Loss  0.857053, Average Loss  0.870492, Time  0.175043
2021-09-10 17:55:49.723383 : Epoch  1, Batch   1471, Loss  0.866883, Average Loss  0.870513, Time  0.174191
2021-09-10 17:55:51.304835 : Epoch  1, Batch   1472, Loss  0.857523, Average Loss  0.870600, Time  0.172513
2021-09-10 17:55:52.889078 : Epoch  1, Batch   1473, Loss  0.905223, Average Loss  0.870828, Time  0.171930
2021-09-10 17:55:54.501857 : Epoch  1, Batch   1474, Loss  0.875191, Average Loss  0.870812, Time  0.172734
2021-09-10 17:55:56.092074 : Epoch  1, Batch   1475, Loss  0.903832, Average Loss  0.870885, Time  0.170476
2021-09-10 17:55:57.723855 : Epoch  1, Batch   1476, Loss  0.876417, Average Loss  0.870847, Time  0.170343
2021-09-10 17:55:59.324090 : Epoch  1, Batch   1477, Loss  0.881328, Average Loss  0.870888, Time  0.173481
2021-09-10 17:56:00.919763 : Epoch  1, Batch   1478, Loss  0.874128, Average Loss  0.871065, Time  0.181047
2021-09-10 17:56:02.526003 : Epoch  1, Batch   1479, Loss  0.882204, Average Loss  0.871194, Time  0.170912
2021-09-10 17:56:04.116911 : Epoch  1, Batch   1480, Loss  0.847782, Average Loss  0.870905, Time  0.174442
2021-09-10 17:56:05.691870 : Epoch  1, Batch   1481, Loss  0.861887, Average Loss  0.870804, Time  0.170739
2021-09-10 17:56:07.292153 : Epoch  1, Batch   1482, Loss  0.892208, Average Loss  0.870896, Time  0.173117
2021-09-10 17:56:08.891833 : Epoch  1, Batch   1483, Loss  0.840261, Average Loss  0.870737, Time  0.172184
2021-09-10 17:56:10.469903 : Epoch  1, Batch   1484, Loss  0.852630, Average Loss  0.870558, Time  0.171328
2021-09-10 17:56:12.060057 : Epoch  1, Batch   1485, Loss  0.883865, Average Loss  0.870645, Time  0.172201
2021-09-10 17:56:13.654884 : Epoch  1, Batch   1486, Loss  0.867170, Average Loss  0.870685, Time  0.174214
2021-09-10 17:56:15.246055 : Epoch  1, Batch   1487, Loss  0.908800, Average Loss  0.870809, Time  0.174444
2021-09-10 17:56:16.821054 : Epoch  1, Batch   1488, Loss  0.862296, Average Loss  0.870863, Time  0.170603
2021-09-10 17:56:18.406609 : Epoch  1, Batch   1489, Loss  0.839512, Average Loss  0.870719, Time  0.175007
2021-09-10 17:56:19.995766 : Epoch  1, Batch   1490, Loss  0.887984, Average Loss  0.870771, Time  0.174587
2021-09-10 17:56:21.600064 : Epoch  1, Batch   1491, Loss  0.856746, Average Loss  0.870746, Time  0.179226
2021-09-10 17:56:23.203391 : Epoch  1, Batch   1492, Loss  0.873839, Average Loss  0.870664, Time  0.176985
2021-09-10 17:56:24.832071 : Epoch  1, Batch   1493, Loss  0.882799, Average Loss  0.870790, Time  0.174566
2021-09-10 17:56:26.428870 : Epoch  1, Batch   1494, Loss  0.866480, Average Loss  0.870938, Time  0.171276
2021-09-10 17:56:28.012881 : Epoch  1, Batch   1495, Loss  0.869407, Average Loss  0.870954, Time  0.170646
2021-09-10 17:56:29.608075 : Epoch  1, Batch   1496, Loss  0.895684, Average Loss  0.871179, Time  0.171087
2021-09-10 17:56:31.183921 : Epoch  1, Batch   1497, Loss  0.887488, Average Loss  0.871402, Time  0.174421
2021-09-10 17:56:32.781838 : Epoch  1, Batch   1498, Loss  0.874109, Average Loss  0.871438, Time  0.172905
2021-09-10 17:56:34.366928 : Epoch  1, Batch   1499, Loss  0.913772, Average Loss  0.871630, Time  0.170774
2021-09-10 17:56:35.964053 : Epoch  1, Batch   1500, Loss  0.883673, Average Loss  0.871626, Time  0.173718
2021-09-10 18:01:23.626713 : CheckPoint: Validation Loss  0.00062176, Best Loss  0.00059923
2021-09-10 18:01:25.255919 : Epoch  1, Batch   1501, Loss  0.856055, Average Loss  0.871546, Time  0.184851
2021-09-10 18:01:26.834915 : Epoch  1, Batch   1502, Loss  0.871987, Average Loss  0.871503, Time  0.173800
2021-09-10 18:01:28.427750 : Epoch  1, Batch   1503, Loss  0.862306, Average Loss  0.871323, Time  0.170089
2021-09-10 18:01:30.024062 : Epoch  1, Batch   1504, Loss  0.885090, Average Loss  0.871354, Time  0.171081
2021-09-10 18:01:31.616012 : Epoch  1, Batch   1505, Loss  0.871511, Average Loss  0.871189, Time  0.169917
2021-09-10 18:01:33.213785 : Epoch  1, Batch   1506, Loss  0.821749, Average Loss  0.870903, Time  0.170678
2021-09-10 18:01:34.825844 : Epoch  1, Batch   1507, Loss  0.885706, Average Loss  0.870985, Time  0.172222
2021-09-10 18:01:36.441022 : Epoch  1, Batch   1508, Loss  0.858965, Average Loss  0.870907, Time  0.172463
2021-09-10 18:01:38.030887 : Epoch  1, Batch   1509, Loss  0.871797, Average Loss  0.870985, Time  0.170477
2021-09-10 18:01:39.629028 : Epoch  1, Batch   1510, Loss  0.887667, Average Loss  0.871162, Time  0.177309
2021-09-10 18:01:41.214821 : Epoch  1, Batch   1511, Loss  0.886792, Average Loss  0.871312, Time  0.169973
2021-09-10 18:01:42.799083 : Epoch  1, Batch   1512, Loss  0.860439, Average Loss  0.871146, Time  0.174065
2021-09-10 18:01:44.371856 : Epoch  1, Batch   1513, Loss  0.852798, Average Loss  0.870993, Time  0.173049
2021-09-10 18:01:45.984939 : Epoch  1, Batch   1514, Loss  0.910987, Average Loss  0.871040, Time  0.177812
2021-09-10 18:01:47.589782 : Epoch  1, Batch   1515, Loss  0.876208, Average Loss  0.870825, Time  0.178366
2021-09-10 18:01:49.166835 : Epoch  1, Batch   1516, Loss  0.863479, Average Loss  0.870855, Time  0.173179
2021-09-10 18:01:50.758940 : Epoch  1, Batch   1517, Loss  0.857101, Average Loss  0.870797, Time  0.172652
2021-09-10 18:01:52.375023 : Epoch  1, Batch   1518, Loss  0.858795, Average Loss  0.870871, Time  0.173563
2021-09-10 18:01:53.987736 : Epoch  1, Batch   1519, Loss  0.881699, Average Loss  0.870854, Time  0.176323
2021-09-10 18:01:55.594727 : Epoch  1, Batch   1520, Loss  0.859170, Average Loss  0.870988, Time  0.170320
2021-09-10 18:01:57.203030 : Epoch  1, Batch   1521, Loss  0.848214, Average Loss  0.870831, Time  0.170169
2021-09-10 18:01:58.805774 : Epoch  1, Batch   1522, Loss  0.849017, Average Loss  0.870708, Time  0.173068
2021-09-10 18:02:00.411829 : Epoch  1, Batch   1523, Loss  0.836996, Average Loss  0.870564, Time  0.170169
2021-09-10 18:02:01.990805 : Epoch  1, Batch   1524, Loss  0.876656, Average Loss  0.870626, Time  0.170167
2021-09-10 18:02:03.580022 : Epoch  1, Batch   1525, Loss  0.866370, Average Loss  0.870644, Time  0.176821
2021-09-10 18:02:05.165751 : Epoch  1, Batch   1526, Loss  0.909497, Average Loss  0.870854, Time  0.170073
2021-09-10 18:02:06.756015 : Epoch  1, Batch   1527, Loss  0.894120, Average Loss  0.870815, Time  0.169621
2021-09-10 18:02:08.350763 : Epoch  1, Batch   1528, Loss  0.848597, Average Loss  0.870657, Time  0.174029
2021-09-10 18:02:09.942754 : Epoch  1, Batch   1529, Loss  0.884689, Average Loss  0.870708, Time  0.171559
2021-09-10 18:02:11.528759 : Epoch  1, Batch   1530, Loss  0.858864, Average Loss  0.870738, Time  0.175992
2021-09-10 18:02:13.124033 : Epoch  1, Batch   1531, Loss  0.876274, Average Loss  0.870872, Time  0.173210
2021-09-10 18:02:14.738789 : Epoch  1, Batch   1532, Loss  0.858900, Average Loss  0.870639, Time  0.180493
2021-09-10 18:02:16.346027 : Epoch  1, Batch   1533, Loss  0.901083, Average Loss  0.870751, Time  0.177448
2021-09-10 18:02:17.938068 : Epoch  1, Batch   1534, Loss  0.878673, Average Loss  0.870854, Time  0.169926
2021-09-10 18:02:19.530033 : Epoch  1, Batch   1535, Loss  0.857827, Average Loss  0.870736, Time  0.172308
2021-09-10 18:02:21.133773 : Epoch  1, Batch   1536, Loss  0.848790, Average Loss  0.870713, Time  0.172770
2021-09-10 18:02:22.721948 : Epoch  1, Batch   1537, Loss  0.923472, Average Loss  0.871039, Time  0.173512
2021-09-10 18:02:24.364741 : Epoch  1, Batch   1538, Loss  0.880849, Average Loss  0.871139, Time  0.173822
2021-09-10 18:02:25.957864 : Epoch  1, Batch   1539, Loss  0.889680, Average Loss  0.871236, Time  0.175308
2021-09-10 18:02:27.561817 : Epoch  1, Batch   1540, Loss  0.882476, Average Loss  0.871289, Time  0.178609
2021-09-10 18:02:29.166827 : Epoch  1, Batch   1541, Loss  0.859126, Average Loss  0.871475, Time  0.172551
2021-09-10 18:02:30.767916 : Epoch  1, Batch   1542, Loss  0.866603, Average Loss  0.871454, Time  0.170483
2021-09-10 18:02:32.352064 : Epoch  1, Batch   1543, Loss  0.885395, Average Loss  0.871534, Time  0.172202
2021-09-10 18:02:33.928791 : Epoch  1, Batch   1544, Loss  0.878228, Average Loss  0.871454, Time  0.175078
2021-09-10 18:02:35.546790 : Epoch  1, Batch   1545, Loss  0.886454, Average Loss  0.871583, Time  0.170776
2021-09-10 18:02:37.153740 : Epoch  1, Batch   1546, Loss  0.888136, Average Loss  0.871465, Time  0.178677
2021-09-10 18:02:38.767174 : Epoch  1, Batch   1547, Loss  0.865979, Average Loss  0.871348, Time  0.170011
2021-09-10 18:02:40.369022 : Epoch  1, Batch   1548, Loss  0.906279, Average Loss  0.871556, Time  0.170884
2021-09-10 18:02:41.954972 : Epoch  1, Batch   1549, Loss  0.901747, Average Loss  0.871883, Time  0.171304
2021-09-10 18:02:43.554775 : Epoch  1, Batch   1550, Loss  0.886235, Average Loss  0.871833, Time  0.176470
2021-09-10 18:02:45.153737 : Epoch  1, Batch   1551, Loss  0.871629, Average Loss  0.871764, Time  0.170404
2021-09-10 18:02:46.771742 : Epoch  1, Batch   1552, Loss  0.878743, Average Loss  0.871650, Time  0.171180
2021-09-10 18:02:48.381989 : Epoch  1, Batch   1553, Loss  0.895795, Average Loss  0.871743, Time  0.169841
2021-09-10 18:02:49.975762 : Epoch  1, Batch   1554, Loss  0.858240, Average Loss  0.871774, Time  0.170012
2021-09-10 18:02:51.561979 : Epoch  1, Batch   1555, Loss  0.849431, Average Loss  0.871685, Time  0.169731
2021-09-10 18:02:53.147812 : Epoch  1, Batch   1556, Loss  0.867478, Average Loss  0.871517, Time  0.170183
2021-09-10 18:02:54.750030 : Epoch  1, Batch   1557, Loss  0.865153, Average Loss  0.871548, Time  0.175958
2021-09-10 18:02:56.334991 : Epoch  1, Batch   1558, Loss  0.890701, Average Loss  0.871580, Time  0.169917
2021-09-10 18:02:57.945769 : Epoch  1, Batch   1559, Loss  0.891907, Average Loss  0.871823, Time  0.169742
2021-09-10 18:02:59.544913 : Epoch  1, Batch   1560, Loss  0.839863, Average Loss  0.871705, Time  0.170060
2021-09-10 18:03:01.153997 : Epoch  1, Batch   1561, Loss  0.882395, Average Loss  0.871750, Time  0.170355
2021-09-10 18:03:02.766886 : Epoch  1, Batch   1562, Loss  0.867615, Average Loss  0.871767, Time  0.169736
2021-09-10 18:03:04.361414 : Epoch  1, Batch   1563, Loss  0.862239, Average Loss  0.871748, Time  0.172595
2021-09-10 18:03:05.949753 : Epoch  1, Batch   1564, Loss  0.867849, Average Loss  0.871802, Time  0.169842
2021-09-10 18:03:07.570741 : Epoch  1, Batch   1565, Loss  0.847314, Average Loss  0.871623, Time  0.169906
2021-09-10 18:03:09.185812 : Epoch  1, Batch   1566, Loss  0.878037, Average Loss  0.871574, Time  0.169849
2021-09-10 18:03:10.796032 : Epoch  1, Batch   1567, Loss  0.898456, Average Loss  0.871519, Time  0.177435
2021-09-10 18:03:12.389742 : Epoch  1, Batch   1568, Loss  0.852879, Average Loss  0.871556, Time  0.169843
2021-09-10 18:03:14.003810 : Epoch  1, Batch   1569, Loss  0.883934, Average Loss  0.871805, Time  0.169863
2021-09-10 18:03:15.612749 : Epoch  1, Batch   1570, Loss  0.888023, Average Loss  0.871836, Time  0.169776
2021-09-10 18:03:17.226819 : Epoch  1, Batch   1571, Loss  0.862308, Average Loss  0.871758, Time  0.169512
2021-09-10 18:03:18.852736 : Epoch  1, Batch   1572, Loss  0.866434, Average Loss  0.871756, Time  0.169799
2021-09-10 18:03:20.465996 : Epoch  1, Batch   1573, Loss  0.857773, Average Loss  0.871597, Time  0.169931
2021-09-10 18:03:22.030320 : Epoch  1, Batch   1574, Loss  0.914862, Average Loss  0.871890, Time  0.170036
2021-09-10 18:03:23.647990 : Epoch  1, Batch   1575, Loss  0.882699, Average Loss  0.871897, Time  0.170029
2021-09-10 18:03:25.300776 : Epoch  1, Batch   1576, Loss  0.893592, Average Loss  0.872034, Time  0.169939
2021-09-10 18:03:26.918983 : Epoch  1, Batch   1577, Loss  0.856544, Average Loss  0.872063, Time  0.169967
2021-09-10 18:03:28.532990 : Epoch  1, Batch   1578, Loss  0.876275, Average Loss  0.872118, Time  0.171493
2021-09-10 18:03:30.125997 : Epoch  1, Batch   1579, Loss  0.862535, Average Loss  0.872056, Time  0.170079
2021-09-10 18:03:31.721017 : Epoch  1, Batch   1580, Loss  0.876471, Average Loss  0.871993, Time  0.170881
2021-09-10 18:03:33.348026 : Epoch  1, Batch   1581, Loss  0.878670, Average Loss  0.871937, Time  0.170247
2021-09-10 18:03:34.952009 : Epoch  1, Batch   1582, Loss  0.844821, Average Loss  0.871881, Time  0.169851
2021-09-10 18:03:36.565997 : Epoch  1, Batch   1583, Loss  0.841674, Average Loss  0.871806, Time  0.169633
2021-09-10 18:03:38.183989 : Epoch  1, Batch   1584, Loss  0.839070, Average Loss  0.871776, Time  0.169643
2021-09-10 18:03:39.800984 : Epoch  1, Batch   1585, Loss  0.859707, Average Loss  0.871684, Time  0.169873
2021-09-10 18:03:41.418740 : Epoch  1, Batch   1586, Loss  0.872851, Average Loss  0.871660, Time  0.169904
2021-09-10 18:03:43.043993 : Epoch  1, Batch   1587, Loss  0.876136, Average Loss  0.871740, Time  0.169737
2021-09-10 18:03:44.652836 : Epoch  1, Batch   1588, Loss  0.848517, Average Loss  0.871575, Time  0.169972
2021-09-10 18:03:46.267993 : Epoch  1, Batch   1589, Loss  0.869081, Average Loss  0.871603, Time  0.169704
2021-09-10 18:03:47.885759 : Epoch  1, Batch   1590, Loss  0.849996, Average Loss  0.871475, Time  0.169902
2021-09-10 18:03:49.496735 : Epoch  1, Batch   1591, Loss  0.864714, Average Loss  0.871340, Time  0.170149
2021-09-10 18:03:51.125824 : Epoch  1, Batch   1592, Loss  0.836534, Average Loss  0.871029, Time  0.169633
2021-09-10 18:03:52.700741 : Epoch  1, Batch   1593, Loss  0.863280, Average Loss  0.870867, Time  0.170616
2021-09-10 18:03:54.287768 : Epoch  1, Batch   1594, Loss  0.862044, Average Loss  0.870938, Time  0.174244
2021-09-10 18:03:55.870791 : Epoch  1, Batch   1595, Loss  0.851543, Average Loss  0.870864, Time  0.169783
2021-09-10 18:03:57.483819 : Epoch  1, Batch   1596, Loss  0.922269, Average Loss  0.871184, Time  0.169737
2021-09-10 18:03:59.100001 : Epoch  1, Batch   1597, Loss  0.890719, Average Loss  0.871356, Time  0.172024
2021-09-10 18:04:00.708746 : Epoch  1, Batch   1598, Loss  0.871293, Average Loss  0.871333, Time  0.170578
2021-09-10 18:04:02.311886 : Epoch  1, Batch   1599, Loss  0.850435, Average Loss  0.871202, Time  0.172049
2021-09-10 18:04:03.911730 : Epoch  1, Batch   1600, Loss  0.863635, Average Loss  0.871171, Time  0.171751
2021-09-10 18:08:52.770104 : CheckPoint: Validation Loss  0.00059432, Best Loss  0.00059432
2021-09-10 18:08:52.811628 : Best Model Updated
2021-09-10 18:08:55.348896 : Epoch  1, Batch   1601, Loss  0.877004, Average Loss  0.871273, Time  0.189403
2021-09-10 18:08:56.930978 : Epoch  1, Batch   1602, Loss  0.870246, Average Loss  0.871394, Time  0.170943
2021-09-10 18:08:58.536000 : Epoch  1, Batch   1603, Loss  0.873225, Average Loss  0.871543, Time  0.171273
2021-09-10 18:09:00.125040 : Epoch  1, Batch   1604, Loss  0.875237, Average Loss  0.871628, Time  0.173370
2021-09-10 18:09:01.679625 : Epoch  1, Batch   1605, Loss  0.827337, Average Loss  0.871331, Time  0.172025
2021-09-10 18:09:03.250950 : Epoch  1, Batch   1606, Loss  0.889475, Average Loss  0.871352, Time  0.170305
2021-09-10 18:09:04.834018 : Epoch  1, Batch   1607, Loss  0.876757, Average Loss  0.871389, Time  0.170238
2021-09-10 18:09:06.414032 : Epoch  1, Batch   1608, Loss  0.868017, Average Loss  0.871299, Time  0.172434
2021-09-10 18:09:07.986793 : Epoch  1, Batch   1609, Loss  0.857182, Average Loss  0.871297, Time  0.174410
2021-09-10 18:09:09.558960 : Epoch  1, Batch   1610, Loss  0.875893, Average Loss  0.871303, Time  0.170839
2021-09-10 18:09:11.143053 : Epoch  1, Batch   1611, Loss  0.872143, Average Loss  0.871455, Time  0.171208
2021-09-10 18:09:12.728966 : Epoch  1, Batch   1612, Loss  0.855085, Average Loss  0.871379, Time  0.178191
2021-09-10 18:09:14.308032 : Epoch  1, Batch   1613, Loss  0.878560, Average Loss  0.871421, Time  0.179113
2021-09-10 18:09:15.896825 : Epoch  1, Batch   1614, Loss  0.899586, Average Loss  0.871733, Time  0.174197
2021-09-10 18:09:17.501026 : Epoch  1, Batch   1615, Loss  0.874448, Average Loss  0.871709, Time  0.174859
2021-09-10 18:09:19.080748 : Epoch  1, Batch   1616, Loss  0.867471, Average Loss  0.871624, Time  0.171275
2021-09-10 18:09:20.667024 : Epoch  1, Batch   1617, Loss  0.853114, Average Loss  0.871417, Time  0.171743
2021-09-10 18:09:22.248024 : Epoch  1, Batch   1618, Loss  0.882696, Average Loss  0.871655, Time  0.170024
2021-09-10 18:09:23.832834 : Epoch  1, Batch   1619, Loss  0.884799, Average Loss  0.871744, Time  0.171257
2021-09-10 18:09:25.411031 : Epoch  1, Batch   1620, Loss  0.873944, Average Loss  0.871749, Time  0.170144
2021-09-10 18:09:26.993094 : Epoch  1, Batch   1621, Loss  0.877678, Average Loss  0.871725, Time  0.174384
2021-09-10 18:09:28.570751 : Epoch  1, Batch   1622, Loss  0.874889, Average Loss  0.871737, Time  0.174141
2021-09-10 18:09:30.174031 : Epoch  1, Batch   1623, Loss  0.881960, Average Loss  0.871767, Time  0.170107
2021-09-10 18:09:31.774753 : Epoch  1, Batch   1624, Loss  0.865514, Average Loss  0.871656, Time  0.173215
2021-09-10 18:09:33.377761 : Epoch  1, Batch   1625, Loss  0.889348, Average Loss  0.871700, Time  0.175874
2021-09-10 18:09:34.983804 : Epoch  1, Batch   1626, Loss  0.860752, Average Loss  0.871690, Time  0.177720
2021-09-10 18:09:36.560897 : Epoch  1, Batch   1627, Loss  0.923806, Average Loss  0.871944, Time  0.175342
2021-09-10 18:09:38.171740 : Epoch  1, Batch   1628, Loss  0.875659, Average Loss  0.872034, Time  0.174283
2021-09-10 18:09:39.781742 : Epoch  1, Batch   1629, Loss  0.830571, Average Loss  0.871718, Time  0.170222
2021-09-10 18:09:41.369027 : Epoch  1, Batch   1630, Loss  0.883325, Average Loss  0.871661, Time  0.170381
2021-09-10 18:09:42.939748 : Epoch  1, Batch   1631, Loss  0.898144, Average Loss  0.871957, Time  0.170075
2021-09-10 18:09:44.543741 : Epoch  1, Batch   1632, Loss  0.909822, Average Loss  0.872148, Time  0.175582
2021-09-10 18:09:46.132744 : Epoch  1, Batch   1633, Loss  0.894483, Average Loss  0.872275, Time  0.176602
2021-09-10 18:09:47.730758 : Epoch  1, Batch   1634, Loss  0.868521, Average Loss  0.872169, Time  0.170992
2021-09-10 18:09:49.325730 : Epoch  1, Batch   1635, Loss  0.862302, Average Loss  0.872064, Time  0.170210
2021-09-10 18:09:50.897767 : Epoch  1, Batch   1636, Loss  0.838150, Average Loss  0.871803, Time  0.170157
2021-09-10 18:09:52.518016 : Epoch  1, Batch   1637, Loss  0.858488, Average Loss  0.871659, Time  0.170971
2021-09-10 18:09:54.182828 : Epoch  1, Batch   1638, Loss  0.882294, Average Loss  0.871683, Time  0.177521
2021-09-10 18:09:55.792015 : Epoch  1, Batch   1639, Loss  0.876299, Average Loss  0.871669, Time  0.177105
2021-09-10 18:09:57.411799 : Epoch  1, Batch   1640, Loss  0.895513, Average Loss  0.871888, Time  0.170902
2021-09-10 18:09:59.006907 : Epoch  1, Batch   1641, Loss  0.893991, Average Loss  0.872001, Time  0.170214
2021-09-10 18:10:00.573861 : Epoch  1, Batch   1642, Loss  0.852187, Average Loss  0.871992, Time  0.170777
2021-09-10 18:10:02.189748 : Epoch  1, Batch   1643, Loss  0.854654, Average Loss  0.871857, Time  0.174899
2021-09-10 18:10:03.753071 : Epoch  1, Batch   1644, Loss  0.894356, Average Loss  0.872048, Time  0.174230
2021-09-10 18:10:05.340916 : Epoch  1, Batch   1645, Loss  0.858086, Average Loss  0.872038, Time  0.175550
2021-09-10 18:10:06.924881 : Epoch  1, Batch   1646, Loss  0.859069, Average Loss  0.872061, Time  0.171807
2021-09-10 18:10:08.486077 : Epoch  1, Batch   1647, Loss  0.870763, Average Loss  0.871990, Time  0.171058
2021-09-10 18:10:10.057857 : Epoch  1, Batch   1648, Loss  0.861034, Average Loss  0.871934, Time  0.169824
2021-09-10 18:10:11.665748 : Epoch  1, Batch   1649, Loss  0.894341, Average Loss  0.871976, Time  0.170280
2021-09-10 18:10:13.256071 : Epoch  1, Batch   1650, Loss  0.864122, Average Loss  0.871997, Time  0.171593
2021-09-10 18:10:14.859035 : Epoch  1, Batch   1651, Loss  0.862233, Average Loss  0.872030, Time  0.169994
2021-09-10 18:10:16.450025 : Epoch  1, Batch   1652, Loss  0.822019, Average Loss  0.871788, Time  0.173893
2021-09-10 18:10:18.091762 : Epoch  1, Batch   1653, Loss  0.880240, Average Loss  0.871878, Time  0.190678
2021-09-10 18:10:19.677837 : Epoch  1, Batch   1654, Loss  0.845528, Average Loss  0.871754, Time  0.173788
2021-09-10 18:10:21.257833 : Epoch  1, Batch   1655, Loss  0.868325, Average Loss  0.871769, Time  0.173168
2021-09-10 18:10:22.839761 : Epoch  1, Batch   1656, Loss  0.843385, Average Loss  0.871614, Time  0.169784
2021-09-10 18:10:24.428871 : Epoch  1, Batch   1657, Loss  0.878172, Average Loss  0.871718, Time  0.179356
2021-09-10 18:10:26.014800 : Epoch  1, Batch   1658, Loss  0.872856, Average Loss  0.871864, Time  0.173919
2021-09-10 18:10:27.601023 : Epoch  1, Batch   1659, Loss  0.878568, Average Loss  0.871871, Time  0.175605
2021-09-10 18:10:29.188791 : Epoch  1, Batch   1660, Loss  0.865973, Average Loss  0.871796, Time  0.173128
2021-09-10 18:10:30.785021 : Epoch  1, Batch   1661, Loss  0.877130, Average Loss  0.871893, Time  0.170201
2021-09-10 18:10:32.383742 : Epoch  1, Batch   1662, Loss  0.855862, Average Loss  0.871756, Time  0.170443
2021-09-10 18:10:33.975027 : Epoch  1, Batch   1663, Loss  0.857474, Average Loss  0.871915, Time  0.172880
2021-09-10 18:10:35.554857 : Epoch  1, Batch   1664, Loss  0.877877, Average Loss  0.871877, Time  0.171180
2021-09-10 18:10:37.123030 : Epoch  1, Batch   1665, Loss  0.881027, Average Loss  0.871807, Time  0.171865
2021-09-10 18:10:38.677364 : Epoch  1, Batch   1666, Loss  0.850276, Average Loss  0.871635, Time  0.171941
2021-09-10 18:10:40.252883 : Epoch  1, Batch   1667, Loss  0.867787, Average Loss  0.871607, Time  0.170927
2021-09-10 18:10:41.833628 : Epoch  1, Batch   1668, Loss  0.864010, Average Loss  0.871745, Time  0.171105
2021-09-10 18:10:43.405029 : Epoch  1, Batch   1669, Loss  0.857148, Average Loss  0.871680, Time  0.182766
2021-09-10 18:10:44.974828 : Epoch  1, Batch   1670, Loss  0.887833, Average Loss  0.871834, Time  0.173052
2021-09-10 18:10:46.566783 : Epoch  1, Batch   1671, Loss  0.870318, Average Loss  0.871852, Time  0.170076
2021-09-10 18:10:48.167027 : Epoch  1, Batch   1672, Loss  0.884080, Average Loss  0.871984, Time  0.170496
2021-09-10 18:10:49.755032 : Epoch  1, Batch   1673, Loss  0.860462, Average Loss  0.871761, Time  0.170658
2021-09-10 18:10:51.357739 : Epoch  1, Batch   1674, Loss  0.891314, Average Loss  0.871841, Time  0.176735
2021-09-10 18:10:52.945766 : Epoch  1, Batch   1675, Loss  0.866441, Average Loss  0.871654, Time  0.172927
2021-09-10 18:10:54.568020 : Epoch  1, Batch   1676, Loss  0.893681, Average Loss  0.871740, Time  0.180583
2021-09-10 18:10:56.136680 : Epoch  1, Batch   1677, Loss  0.877517, Average Loss  0.871721, Time  0.170314
2021-09-10 18:10:57.711936 : Epoch  1, Batch   1678, Loss  0.873274, Average Loss  0.871717, Time  0.170094
2021-09-10 18:10:59.317796 : Epoch  1, Batch   1679, Loss  0.896172, Average Loss  0.871787, Time  0.174093
2021-09-10 18:11:00.910870 : Epoch  1, Batch   1680, Loss  0.865894, Average Loss  0.871878, Time  0.178190
2021-09-10 18:11:02.472761 : Epoch  1, Batch   1681, Loss  0.878025, Average Loss  0.871958, Time  0.171084
2021-09-10 18:11:04.073035 : Epoch  1, Batch   1682, Loss  0.858270, Average Loss  0.871789, Time  0.170071
2021-09-10 18:11:05.667815 : Epoch  1, Batch   1683, Loss  0.837351, Average Loss  0.871774, Time  0.173161
2021-09-10 18:11:07.251787 : Epoch  1, Batch   1684, Loss  0.908233, Average Loss  0.872052, Time  0.172789
2021-09-10 18:11:08.842825 : Epoch  1, Batch   1685, Loss  0.880760, Average Loss  0.872037, Time  0.178873
2021-09-10 18:11:10.444779 : Epoch  1, Batch   1686, Loss  0.864797, Average Loss  0.872025, Time  0.176581
2021-09-10 18:11:12.038906 : Epoch  1, Batch   1687, Loss  0.837922, Average Loss  0.871670, Time  0.175706
2021-09-10 18:11:13.659819 : Epoch  1, Batch   1688, Loss  0.860394, Average Loss  0.871661, Time  0.170383
2021-09-10 18:11:15.257229 : Epoch  1, Batch   1689, Loss  0.897607, Average Loss  0.871951, Time  0.171078
2021-09-10 18:11:16.832952 : Epoch  1, Batch   1690, Loss  0.845139, Average Loss  0.871737, Time  0.170352
2021-09-10 18:11:18.443769 : Epoch  1, Batch   1691, Loss  0.872884, Average Loss  0.871818, Time  0.174036
2021-09-10 18:11:20.031068 : Epoch  1, Batch   1692, Loss  0.880680, Average Loss  0.871852, Time  0.177713
2021-09-10 18:11:21.612833 : Epoch  1, Batch   1693, Loss  0.870287, Average Loss  0.871789, Time  0.170276
2021-09-10 18:11:23.189072 : Epoch  1, Batch   1694, Loss  0.905287, Average Loss  0.871983, Time  0.171473
2021-09-10 18:11:24.763320 : Epoch  1, Batch   1695, Loss  0.881045, Average Loss  0.872042, Time  0.179013
2021-09-10 18:11:26.379863 : Epoch  1, Batch   1696, Loss  0.888673, Average Loss  0.872007, Time  0.170344
2021-09-10 18:11:27.951814 : Epoch  1, Batch   1697, Loss  0.894623, Average Loss  0.872042, Time  0.171533
2021-09-10 18:11:29.541785 : Epoch  1, Batch   1698, Loss  0.861099, Average Loss  0.871977, Time  0.174268
2021-09-10 18:11:31.117752 : Epoch  1, Batch   1699, Loss  0.864448, Average Loss  0.871731, Time  0.171267
2021-09-10 18:11:32.705015 : Epoch  1, Batch   1700, Loss  0.866610, Average Loss  0.871645, Time  0.172833
2021-09-10 18:16:17.996714 : CheckPoint: Validation Loss  0.00060767, Best Loss  0.00059432
2021-09-10 18:16:19.627817 : Epoch  1, Batch   1701, Loss  0.883239, Average Loss  0.871781, Time  0.189835
2021-09-10 18:16:21.219035 : Epoch  1, Batch   1702, Loss  0.879453, Average Loss  0.871818, Time  0.175592
2021-09-10 18:16:22.797731 : Epoch  1, Batch   1703, Loss  0.841954, Average Loss  0.871717, Time  0.180391
2021-09-10 18:16:24.387008 : Epoch  1, Batch   1704, Loss  0.853016, Average Loss  0.871556, Time  0.176450
2021-09-10 18:16:25.985909 : Epoch  1, Batch   1705, Loss  0.856999, Average Loss  0.871484, Time  0.170483
2021-09-10 18:16:27.593028 : Epoch  1, Batch   1706, Loss  0.889672, Average Loss  0.871823, Time  0.177973
2021-09-10 18:16:29.184950 : Epoch  1, Batch   1707, Loss  0.874166, Average Loss  0.871766, Time  0.170487
2021-09-10 18:16:30.788034 : Epoch  1, Batch   1708, Loss  0.890767, Average Loss  0.871925, Time  0.175581
2021-09-10 18:16:32.395024 : Epoch  1, Batch   1709, Loss  0.867791, Average Loss  0.871905, Time  0.170187
2021-09-10 18:16:33.987041 : Epoch  1, Batch   1710, Loss  0.841918, Average Loss  0.871676, Time  0.174689
2021-09-10 18:16:35.565722 : Epoch  1, Batch   1711, Loss  0.851453, Average Loss  0.871499, Time  0.170527
2021-09-10 18:16:37.136624 : Epoch  1, Batch   1712, Loss  0.893890, Average Loss  0.871666, Time  0.178076
2021-09-10 18:16:38.750737 : Epoch  1, Batch   1713, Loss  0.869065, Average Loss  0.871748, Time  0.173931
2021-09-10 18:16:40.349036 : Epoch  1, Batch   1714, Loss  0.871913, Average Loss  0.871552, Time  0.170055
2021-09-10 18:16:41.940745 : Epoch  1, Batch   1715, Loss  0.856336, Average Loss  0.871453, Time  0.174438
2021-09-10 18:16:43.515817 : Epoch  1, Batch   1716, Loss  0.877364, Average Loss  0.871522, Time  0.173938
2021-09-10 18:16:45.104789 : Epoch  1, Batch   1717, Loss  0.864483, Average Loss  0.871559, Time  0.175265
2021-09-10 18:16:46.688027 : Epoch  1, Batch   1718, Loss  0.858663, Average Loss  0.871559, Time  0.170071
2021-09-10 18:16:48.266024 : Epoch  1, Batch   1719, Loss  0.876687, Average Loss  0.871534, Time  0.169849
2021-09-10 18:16:49.863979 : Epoch  1, Batch   1720, Loss  0.847851, Average Loss  0.871477, Time  0.173484
2021-09-10 18:16:51.441044 : Epoch  1, Batch   1721, Loss  0.855542, Average Loss  0.871514, Time  0.170360
2021-09-10 18:16:53.027015 : Epoch  1, Batch   1722, Loss  0.887249, Average Loss  0.871705, Time  0.169913
2021-09-10 18:16:54.619028 : Epoch  1, Batch   1723, Loss  0.878619, Average Loss  0.871913, Time  0.169702
2021-09-10 18:16:56.216030 : Epoch  1, Batch   1724, Loss  0.883791, Average Loss  0.871949, Time  0.175298
2021-09-10 18:16:57.808025 : Epoch  1, Batch   1725, Loss  0.879461, Average Loss  0.872014, Time  0.170249
2021-09-10 18:16:59.419791 : Epoch  1, Batch   1726, Loss  0.856753, Average Loss  0.871750, Time  0.175658
2021-09-10 18:17:01.004894 : Epoch  1, Batch   1727, Loss  0.876655, Average Loss  0.871663, Time  0.177817
2021-09-10 18:17:02.594855 : Epoch  1, Batch   1728, Loss  0.848273, Average Loss  0.871661, Time  0.176157
2021-09-10 18:17:04.180854 : Epoch  1, Batch   1729, Loss  0.882002, Average Loss  0.871648, Time  0.175944
2021-09-10 18:17:05.752741 : Epoch  1, Batch   1730, Loss  0.884768, Average Loss  0.871778, Time  0.173836
2021-09-10 18:17:07.343751 : Epoch  1, Batch   1731, Loss  0.869382, Average Loss  0.871743, Time  0.172521
2021-09-10 18:17:08.935035 : Epoch  1, Batch   1732, Loss  0.889363, Average Loss  0.871895, Time  0.169988
2021-09-10 18:17:10.531037 : Epoch  1, Batch   1733, Loss  0.873536, Average Loss  0.871758, Time  0.170228
2021-09-10 18:17:12.134882 : Epoch  1, Batch   1734, Loss  0.842198, Average Loss  0.871575, Time  0.170032
2021-09-10 18:17:13.756039 : Epoch  1, Batch   1735, Loss  0.892513, Average Loss  0.871749, Time  0.171561
2021-09-10 18:17:15.358028 : Epoch  1, Batch   1736, Loss  0.886873, Average Loss  0.871939, Time  0.170622
2021-09-10 18:17:16.957101 : Epoch  1, Batch   1737, Loss  0.858624, Average Loss  0.871615, Time  0.178490
2021-09-10 18:17:18.598026 : Epoch  1, Batch   1738, Loss  0.891280, Average Loss  0.871667, Time  0.172387
2021-09-10 18:17:20.189835 : Epoch  1, Batch   1739, Loss  0.887290, Average Loss  0.871655, Time  0.177617
2021-09-10 18:17:21.782071 : Epoch  1, Batch   1740, Loss  0.875577, Average Loss  0.871621, Time  0.172998
2021-09-10 18:17:23.361782 : Epoch  1, Batch   1741, Loss  0.911533, Average Loss  0.871883, Time  0.171407
2021-09-10 18:17:24.944020 : Epoch  1, Batch   1742, Loss  0.869687, Average Loss  0.871898, Time  0.173836
2021-09-10 18:17:26.523314 : Epoch  1, Batch   1743, Loss  0.867109, Average Loss  0.871807, Time  0.172095
2021-09-10 18:17:28.114014 : Epoch  1, Batch   1744, Loss  0.885886, Average Loss  0.871845, Time  0.176848
2021-09-10 18:17:29.712067 : Epoch  1, Batch   1745, Loss  0.879847, Average Loss  0.871812, Time  0.173497
2021-09-10 18:17:31.292993 : Epoch  1, Batch   1746, Loss  0.846451, Average Loss  0.871603, Time  0.171640
2021-09-10 18:17:32.900746 : Epoch  1, Batch   1747, Loss  0.892318, Average Loss  0.871735, Time  0.175815
2021-09-10 18:17:34.478812 : Epoch  1, Batch   1748, Loss  0.900045, Average Loss  0.871704, Time  0.170187
2021-09-10 18:17:36.052056 : Epoch  1, Batch   1749, Loss  0.870102, Average Loss  0.871546, Time  0.170539
2021-09-10 18:17:37.626805 : Epoch  1, Batch   1750, Loss  0.893675, Average Loss  0.871583, Time  0.174336
2021-09-10 18:17:39.239796 : Epoch  1, Batch   1751, Loss  0.855360, Average Loss  0.871502, Time  0.180179
2021-09-10 18:17:40.834878 : Epoch  1, Batch   1752, Loss  0.883098, Average Loss  0.871523, Time  0.172823
2021-09-10 18:17:42.420036 : Epoch  1, Batch   1753, Loss  0.862758, Average Loss  0.871358, Time  0.172907
2021-09-10 18:17:44.017027 : Epoch  1, Batch   1754, Loss  0.858494, Average Loss  0.871359, Time  0.174847
2021-09-10 18:17:45.608729 : Epoch  1, Batch   1755, Loss  0.870527, Average Loss  0.871465, Time  0.171453
2021-09-10 18:17:47.208857 : Epoch  1, Batch   1756, Loss  0.855570, Average Loss  0.871405, Time  0.171507
2021-09-10 18:17:48.822817 : Epoch  1, Batch   1757, Loss  0.888544, Average Loss  0.871522, Time  0.178796
2021-09-10 18:17:50.416779 : Epoch  1, Batch   1758, Loss  0.863464, Average Loss  0.871386, Time  0.177273
2021-09-10 18:17:52.021056 : Epoch  1, Batch   1759, Loss  0.865065, Average Loss  0.871252, Time  0.173992
2021-09-10 18:17:53.608048 : Epoch  1, Batch   1760, Loss  0.856212, Average Loss  0.871334, Time  0.170901
2021-09-10 18:17:55.181868 : Epoch  1, Batch   1761, Loss  0.867466, Average Loss  0.871259, Time  0.169687
2021-09-10 18:17:56.763014 : Epoch  1, Batch   1762, Loss  0.850699, Average Loss  0.871174, Time  0.173276
2021-09-10 18:17:58.358773 : Epoch  1, Batch   1763, Loss  0.836119, Average Loss  0.871044, Time  0.170059
2021-09-10 18:17:59.948039 : Epoch  1, Batch   1764, Loss  0.908786, Average Loss  0.871249, Time  0.169937
2021-09-10 18:18:01.540943 : Epoch  1, Batch   1765, Loss  0.896193, Average Loss  0.871493, Time  0.171083
2021-09-10 18:18:03.122046 : Epoch  1, Batch   1766, Loss  0.868203, Average Loss  0.871444, Time  0.172740
2021-09-10 18:18:04.708738 : Epoch  1, Batch   1767, Loss  0.890827, Average Loss  0.871406, Time  0.169999
2021-09-10 18:18:06.307849 : Epoch  1, Batch   1768, Loss  0.865901, Average Loss  0.871471, Time  0.184031
2021-09-10 18:18:07.869460 : Epoch  1, Batch   1769, Loss  0.869583, Average Loss  0.871399, Time  0.169840
2021-09-10 18:18:09.439644 : Epoch  1, Batch   1770, Loss  0.882073, Average Loss  0.871369, Time  0.171215
2021-09-10 18:18:11.019002 : Epoch  1, Batch   1771, Loss  0.868584, Average Loss  0.871401, Time  0.171229
2021-09-10 18:18:12.597034 : Epoch  1, Batch   1772, Loss  0.881151, Average Loss  0.871474, Time  0.173854
2021-09-10 18:18:14.200749 : Epoch  1, Batch   1773, Loss  0.875937, Average Loss  0.871565, Time  0.180613
2021-09-10 18:18:15.783036 : Epoch  1, Batch   1774, Loss  0.863175, Average Loss  0.871307, Time  0.173000
2021-09-10 18:18:17.367753 : Epoch  1, Batch   1775, Loss  0.859830, Average Loss  0.871192, Time  0.170902
2021-09-10 18:18:18.957724 : Epoch  1, Batch   1776, Loss  0.881770, Average Loss  0.871133, Time  0.173380
2021-09-10 18:18:20.548034 : Epoch  1, Batch   1777, Loss  0.897684, Average Loss  0.871339, Time  0.190636
2021-09-10 18:18:22.144035 : Epoch  1, Batch   1778, Loss  0.873984, Average Loss  0.871327, Time  0.173624
2021-09-10 18:18:23.724764 : Epoch  1, Batch   1779, Loss  0.857339, Average Loss  0.871301, Time  0.178290
2021-09-10 18:18:25.316345 : Epoch  1, Batch   1780, Loss  0.867296, Average Loss  0.871256, Time  0.170298
2021-09-10 18:18:26.902021 : Epoch  1, Batch   1781, Loss  0.884199, Average Loss  0.871283, Time  0.171379
2021-09-10 18:18:28.497783 : Epoch  1, Batch   1782, Loss  0.883529, Average Loss  0.871477, Time  0.174790
2021-09-10 18:18:30.091755 : Epoch  1, Batch   1783, Loss  0.837368, Average Loss  0.871455, Time  0.173790
2021-09-10 18:18:31.675030 : Epoch  1, Batch   1784, Loss  0.852111, Average Loss  0.871520, Time  0.177015
2021-09-10 18:18:33.253023 : Epoch  1, Batch   1785, Loss  0.877039, Average Loss  0.871607, Time  0.169979
2021-09-10 18:18:34.835137 : Epoch  1, Batch   1786, Loss  0.869620, Average Loss  0.871591, Time  0.172397
2021-09-10 18:18:36.408033 : Epoch  1, Batch   1787, Loss  0.875733, Average Loss  0.871589, Time  0.172364
2021-09-10 18:18:37.986015 : Epoch  1, Batch   1788, Loss  0.887868, Average Loss  0.871786, Time  0.170011
2021-09-10 18:18:39.572041 : Epoch  1, Batch   1789, Loss  0.882706, Average Loss  0.871854, Time  0.169890
2021-09-10 18:18:41.166057 : Epoch  1, Batch   1790, Loss  0.862285, Average Loss  0.871915, Time  0.173248
2021-09-10 18:18:42.761042 : Epoch  1, Batch   1791, Loss  0.860175, Average Loss  0.871893, Time  0.169856
2021-09-10 18:18:44.324941 : Epoch  1, Batch   1792, Loss  0.862240, Average Loss  0.872021, Time  0.170294
2021-09-10 18:18:45.917849 : Epoch  1, Batch   1793, Loss  0.857354, Average Loss  0.871991, Time  0.175138
2021-09-10 18:18:47.518808 : Epoch  1, Batch   1794, Loss  0.876923, Average Loss  0.872066, Time  0.175910
2021-09-10 18:18:49.107020 : Epoch  1, Batch   1795, Loss  0.843239, Average Loss  0.872024, Time  0.176047
2021-09-10 18:18:50.704875 : Epoch  1, Batch   1796, Loss  0.851829, Average Loss  0.871672, Time  0.179038
2021-09-10 18:18:52.298027 : Epoch  1, Batch   1797, Loss  0.890158, Average Loss  0.871669, Time  0.172500
2021-09-10 18:18:53.871820 : Epoch  1, Batch   1798, Loss  0.870688, Average Loss  0.871666, Time  0.177017
2021-09-10 18:18:55.455788 : Epoch  1, Batch   1799, Loss  0.854477, Average Loss  0.871686, Time  0.169761
2021-09-10 18:18:57.041024 : Epoch  1, Batch   1800, Loss  0.846979, Average Loss  0.871603, Time  0.169541
2021-09-10 18:23:41.783712 : CheckPoint: Validation Loss  0.00061732, Best Loss  0.00059432
2021-09-10 18:23:43.406940 : Epoch  1, Batch   1801, Loss  0.926021, Average Loss  0.871848, Time  0.180757
2021-09-10 18:23:45.020003 : Epoch  1, Batch   1802, Loss  0.888063, Average Loss  0.871937, Time  0.175990
2021-09-10 18:23:46.611762 : Epoch  1, Batch   1803, Loss  0.853349, Average Loss  0.871838, Time  0.169730
2021-09-10 18:23:48.204016 : Epoch  1, Batch   1804, Loss  0.865077, Average Loss  0.871787, Time  0.171127
2021-09-10 18:23:49.830739 : Epoch  1, Batch   1805, Loss  0.871964, Average Loss  0.872010, Time  0.170267
2021-09-10 18:23:51.425022 : Epoch  1, Batch   1806, Loss  0.867169, Average Loss  0.871899, Time  0.170079
2021-09-10 18:23:53.013856 : Epoch  1, Batch   1807, Loss  0.877286, Average Loss  0.871901, Time  0.176897
2021-09-10 18:23:54.603854 : Epoch  1, Batch   1808, Loss  0.875982, Average Loss  0.871941, Time  0.176331
2021-09-10 18:23:56.192022 : Epoch  1, Batch   1809, Loss  0.903548, Average Loss  0.872173, Time  0.177290
2021-09-10 18:23:57.768047 : Epoch  1, Batch   1810, Loss  0.875356, Average Loss  0.872170, Time  0.172544
2021-09-10 18:23:59.342771 : Epoch  1, Batch   1811, Loss  0.885953, Average Loss  0.872239, Time  0.170313
2021-09-10 18:24:00.929039 : Epoch  1, Batch   1812, Loss  0.867852, Average Loss  0.872303, Time  0.173884
2021-09-10 18:24:02.517898 : Epoch  1, Batch   1813, Loss  0.868407, Average Loss  0.872253, Time  0.169796
2021-09-10 18:24:04.117842 : Epoch  1, Batch   1814, Loss  0.881795, Average Loss  0.872164, Time  0.178437
2021-09-10 18:24:05.707751 : Epoch  1, Batch   1815, Loss  0.869973, Average Loss  0.872141, Time  0.169877
2021-09-10 18:24:07.294783 : Epoch  1, Batch   1816, Loss  0.862255, Average Loss  0.872115, Time  0.169863
2021-09-10 18:24:08.899020 : Epoch  1, Batch   1817, Loss  0.875510, Average Loss  0.872227, Time  0.170057
2021-09-10 18:24:10.502875 : Epoch  1, Batch   1818, Loss  0.892441, Average Loss  0.872276, Time  0.171932
2021-09-10 18:24:12.109859 : Epoch  1, Batch   1819, Loss  0.887254, Average Loss  0.872288, Time  0.172616
2021-09-10 18:24:13.684831 : Epoch  1, Batch   1820, Loss  0.883954, Average Loss  0.872338, Time  0.172919
2021-09-10 18:24:15.268019 : Epoch  1, Batch   1821, Loss  0.883842, Average Loss  0.872369, Time  0.175392
2021-09-10 18:24:16.865030 : Epoch  1, Batch   1822, Loss  0.869936, Average Loss  0.872344, Time  0.176633
2021-09-10 18:24:18.468738 : Epoch  1, Batch   1823, Loss  0.868524, Average Loss  0.872277, Time  0.173243
2021-09-10 18:24:20.069817 : Epoch  1, Batch   1824, Loss  0.878739, Average Loss  0.872343, Time  0.170515
2021-09-10 18:24:21.661845 : Epoch  1, Batch   1825, Loss  0.874486, Average Loss  0.872269, Time  0.170625
2021-09-10 18:24:23.237855 : Epoch  1, Batch   1826, Loss  0.887817, Average Loss  0.872404, Time  0.172261
2021-09-10 18:24:24.825032 : Epoch  1, Batch   1827, Loss  0.854558, Average Loss  0.872058, Time  0.173089
2021-09-10 18:24:26.415413 : Epoch  1, Batch   1828, Loss  0.879085, Average Loss  0.872075, Time  0.178110
2021-09-10 18:24:28.003827 : Epoch  1, Batch   1829, Loss  0.864533, Average Loss  0.872245, Time  0.170926
2021-09-10 18:24:29.591041 : Epoch  1, Batch   1830, Loss  0.881212, Average Loss  0.872234, Time  0.170942
2021-09-10 18:24:31.174754 : Epoch  1, Batch   1831, Loss  0.908676, Average Loss  0.872287, Time  0.170221
2021-09-10 18:24:32.757749 : Epoch  1, Batch   1832, Loss  0.857165, Average Loss  0.872024, Time  0.172648
2021-09-10 18:24:34.345875 : Epoch  1, Batch   1833, Loss  0.874383, Average Loss  0.871923, Time  0.173344
2021-09-10 18:24:35.951028 : Epoch  1, Batch   1834, Loss  0.875487, Average Loss  0.871958, Time  0.173930
2021-09-10 18:24:37.527462 : Epoch  1, Batch   1835, Loss  0.894155, Average Loss  0.872117, Time  0.174907
2021-09-10 18:24:39.148192 : Epoch  1, Batch   1836, Loss  0.832340, Average Loss  0.872088, Time  0.170283
2021-09-10 18:24:40.756784 : Epoch  1, Batch   1837, Loss  0.869425, Average Loss  0.872143, Time  0.177728
2021-09-10 18:24:42.406022 : Epoch  1, Batch   1838, Loss  0.852281, Average Loss  0.871993, Time  0.176060
2021-09-10 18:24:43.989845 : Epoch  1, Batch   1839, Loss  0.861149, Average Loss  0.871917, Time  0.170140
2021-09-10 18:24:45.567801 : Epoch  1, Batch   1840, Loss  0.859193, Average Loss  0.871735, Time  0.177805
2021-09-10 18:24:47.143033 : Epoch  1, Batch   1841, Loss  0.867541, Average Loss  0.871603, Time  0.172807
2021-09-10 18:24:48.753028 : Epoch  1, Batch   1842, Loss  0.840992, Average Loss  0.871547, Time  0.184892
2021-09-10 18:24:50.345037 : Epoch  1, Batch   1843, Loss  0.867066, Average Loss  0.871609, Time  0.172606
2021-09-10 18:24:51.923028 : Epoch  1, Batch   1844, Loss  0.887824, Average Loss  0.871577, Time  0.169728
2021-09-10 18:24:53.524083 : Epoch  1, Batch   1845, Loss  0.865251, Average Loss  0.871612, Time  0.181510
2021-09-10 18:24:55.139758 : Epoch  1, Batch   1846, Loss  0.875433, Average Loss  0.871694, Time  0.174044
2021-09-10 18:24:56.741022 : Epoch  1, Batch   1847, Loss  0.865128, Average Loss  0.871666, Time  0.170423
2021-09-10 18:24:58.327086 : Epoch  1, Batch   1848, Loss  0.898626, Average Loss  0.871854, Time  0.170664
2021-09-10 18:24:59.916318 : Epoch  1, Batch   1849, Loss  0.873379, Average Loss  0.871749, Time  0.170505
2021-09-10 18:25:01.536925 : Epoch  1, Batch   1850, Loss  0.880485, Average Loss  0.871831, Time  0.184266
2021-09-10 18:25:03.137783 : Epoch  1, Batch   1851, Loss  0.871747, Average Loss  0.871879, Time  0.169790
2021-09-10 18:25:04.725028 : Epoch  1, Batch   1852, Loss  0.872022, Average Loss  0.872129, Time  0.170253
2021-09-10 18:25:06.299743 : Epoch  1, Batch   1853, Loss  0.887898, Average Loss  0.872167, Time  0.170506
2021-09-10 18:25:07.877831 : Epoch  1, Batch   1854, Loss  0.869389, Average Loss  0.872286, Time  0.171130
2021-09-10 18:25:09.467022 : Epoch  1, Batch   1855, Loss  0.871950, Average Loss  0.872304, Time  0.174838
2021-09-10 18:25:11.056079 : Epoch  1, Batch   1856, Loss  0.905220, Average Loss  0.872614, Time  0.177154
2021-09-10 18:25:12.644891 : Epoch  1, Batch   1857, Loss  0.854299, Average Loss  0.872494, Time  0.170046
2021-09-10 18:25:14.230066 : Epoch  1, Batch   1858, Loss  0.875956, Average Loss  0.872510, Time  0.169851
2021-09-10 18:25:15.834032 : Epoch  1, Batch   1859, Loss  0.873420, Average Loss  0.872484, Time  0.169814
2021-09-10 18:25:17.458020 : Epoch  1, Batch   1860, Loss  0.888815, Average Loss  0.872598, Time  0.169944
2021-09-10 18:25:19.051651 : Epoch  1, Batch   1861, Loss  0.873088, Average Loss  0.872578, Time  0.170731
2021-09-10 18:25:20.640144 : Epoch  1, Batch   1862, Loss  0.892450, Average Loss  0.872761, Time  0.175367
2021-09-10 18:25:22.234050 : Epoch  1, Batch   1863, Loss  0.857944, Average Loss  0.872763, Time  0.184774
2021-09-10 18:25:23.814940 : Epoch  1, Batch   1864, Loss  0.894791, Average Loss  0.872848, Time  0.169670
2021-09-10 18:25:25.415765 : Epoch  1, Batch   1865, Loss  0.869023, Average Loss  0.872788, Time  0.172496
2021-09-10 18:25:27.007738 : Epoch  1, Batch   1866, Loss  0.861440, Average Loss  0.872844, Time  0.172751
2021-09-10 18:25:28.584032 : Epoch  1, Batch   1867, Loss  0.899032, Average Loss  0.873000, Time  0.170201
2021-09-10 18:25:30.182788 : Epoch  1, Batch   1868, Loss  0.879798, Average Loss  0.873079, Time  0.176493
2021-09-10 18:25:31.792046 : Epoch  1, Batch   1869, Loss  0.879132, Average Loss  0.873189, Time  0.170436
2021-09-10 18:25:33.400933 : Epoch  1, Batch   1870, Loss  0.887330, Average Loss  0.873186, Time  0.181827
2021-09-10 18:25:34.983739 : Epoch  1, Batch   1871, Loss  0.855309, Average Loss  0.873111, Time  0.172416
2021-09-10 18:25:36.552727 : Epoch  1, Batch   1872, Loss  0.856995, Average Loss  0.872976, Time  0.169931
2021-09-10 18:25:38.137753 : Epoch  1, Batch   1873, Loss  0.838695, Average Loss  0.872867, Time  0.176740
2021-09-10 18:25:39.705769 : Epoch  1, Batch   1874, Loss  0.850578, Average Loss  0.872663, Time  0.170187
2021-09-10 18:25:41.320738 : Epoch  1, Batch   1875, Loss  0.873880, Average Loss  0.872700, Time  0.170236
2021-09-10 18:25:42.950050 : Epoch  1, Batch   1876, Loss  0.868463, Average Loss  0.872574, Time  0.174401
2021-09-10 18:25:44.539058 : Epoch  1, Batch   1877, Loss  0.869929, Average Loss  0.872536, Time  0.170522
2021-09-10 18:25:46.140841 : Epoch  1, Batch   1878, Loss  0.906830, Average Loss  0.872704, Time  0.183069
2021-09-10 18:25:47.767820 : Epoch  1, Batch   1879, Loss  0.912404, Average Loss  0.872785, Time  0.172647
2021-09-10 18:25:49.365115 : Epoch  1, Batch   1880, Loss  0.873589, Average Loss  0.872824, Time  0.170797
2021-09-10 18:25:50.953263 : Epoch  1, Batch   1881, Loss  0.869367, Average Loss  0.872781, Time  0.173309
2021-09-10 18:25:52.571043 : Epoch  1, Batch   1882, Loss  0.850693, Average Loss  0.872743, Time  0.177768
2021-09-10 18:25:54.175025 : Epoch  1, Batch   1883, Loss  0.852894, Average Loss  0.872820, Time  0.178185
2021-09-10 18:25:55.767823 : Epoch  1, Batch   1884, Loss  0.826526, Average Loss  0.872412, Time  0.176528
2021-09-10 18:25:57.345026 : Epoch  1, Batch   1885, Loss  0.846116, Average Loss  0.872239, Time  0.170491
2021-09-10 18:25:58.917853 : Epoch  1, Batch   1886, Loss  0.873561, Average Loss  0.872282, Time  0.173513
2021-09-10 18:26:00.539034 : Epoch  1, Batch   1887, Loss  0.871282, Average Loss  0.872449, Time  0.174774
2021-09-10 18:26:02.145078 : Epoch  1, Batch   1888, Loss  0.882701, Average Loss  0.872561, Time  0.176681
2021-09-10 18:26:03.748028 : Epoch  1, Batch   1889, Loss  0.882386, Average Loss  0.872485, Time  0.172842
2021-09-10 18:26:05.361927 : Epoch  1, Batch   1890, Loss  0.896743, Average Loss  0.872743, Time  0.173281
2021-09-10 18:26:06.954022 : Epoch  1, Batch   1891, Loss  0.890859, Average Loss  0.872833, Time  0.171221
2021-09-10 18:26:08.567035 : Epoch  1, Batch   1892, Loss  0.872051, Average Loss  0.872789, Time  0.172043
2021-09-10 18:26:10.161038 : Epoch  1, Batch   1893, Loss  0.878707, Average Loss  0.872831, Time  0.169948
2021-09-10 18:26:11.760818 : Epoch  1, Batch   1894, Loss  0.852214, Average Loss  0.872566, Time  0.174718
2021-09-10 18:26:13.362041 : Epoch  1, Batch   1895, Loss  0.881842, Average Loss  0.872570, Time  0.172894
2021-09-10 18:26:14.983779 : Epoch  1, Batch   1896, Loss  0.872707, Average Loss  0.872490, Time  0.170084
2021-09-10 18:26:16.603854 : Epoch  1, Batch   1897, Loss  0.858788, Average Loss  0.872311, Time  0.169947
2021-09-10 18:26:18.207752 : Epoch  1, Batch   1898, Loss  0.887845, Average Loss  0.872445, Time  0.171837
2021-09-10 18:26:19.801888 : Epoch  1, Batch   1899, Loss  0.832831, Average Loss  0.872287, Time  0.175091
2021-09-10 18:26:21.391921 : Epoch  1, Batch   1900, Loss  0.852250, Average Loss  0.872215, Time  0.170314
2021-09-10 18:31:06.405979 : CheckPoint: Validation Loss  0.00059922, Best Loss  0.00059432
2021-09-10 18:31:08.004433 : Epoch  1, Batch   1901, Loss  0.831894, Average Loss  0.871958, Time  0.179418
2021-09-10 18:31:09.600745 : Epoch  1, Batch   1902, Loss  0.872325, Average Loss  0.871923, Time  0.170778
2021-09-10 18:31:11.176794 : Epoch  1, Batch   1903, Loss  0.885302, Average Loss  0.872139, Time  0.169846
2021-09-10 18:31:12.749006 : Epoch  1, Batch   1904, Loss  0.871810, Average Loss  0.872233, Time  0.177140
2021-09-10 18:31:14.338847 : Epoch  1, Batch   1905, Loss  0.866512, Average Loss  0.872281, Time  0.174495
2021-09-10 18:31:15.947071 : Epoch  1, Batch   1906, Loss  0.871727, Average Loss  0.872191, Time  0.172680
2021-09-10 18:31:17.541803 : Epoch  1, Batch   1907, Loss  0.846487, Average Loss  0.872053, Time  0.169958
2021-09-10 18:31:19.125210 : Epoch  1, Batch   1908, Loss  0.883532, Average Loss  0.872017, Time  0.170812
2021-09-10 18:31:20.706802 : Epoch  1, Batch   1909, Loss  0.894205, Average Loss  0.872149, Time  0.171514
2021-09-10 18:31:22.311029 : Epoch  1, Batch   1910, Loss  0.860716, Average Loss  0.872243, Time  0.170192
2021-09-10 18:31:23.904826 : Epoch  1, Batch   1911, Loss  0.855226, Average Loss  0.872262, Time  0.170176
2021-09-10 18:31:25.482010 : Epoch  1, Batch   1912, Loss  0.906293, Average Loss  0.872324, Time  0.170166
2021-09-10 18:31:27.085037 : Epoch  1, Batch   1913, Loss  0.857829, Average Loss  0.872267, Time  0.170457
2021-09-10 18:31:28.675930 : Epoch  1, Batch   1914, Loss  0.875380, Average Loss  0.872285, Time  0.172658
2021-09-10 18:31:30.254017 : Epoch  1, Batch   1915, Loss  0.839863, Average Loss  0.872202, Time  0.175755
2021-09-10 18:31:31.822922 : Epoch  1, Batch   1916, Loss  0.880507, Average Loss  0.872218, Time  0.177212
2021-09-10 18:31:33.401215 : Epoch  1, Batch   1917, Loss  0.874014, Average Loss  0.872266, Time  0.170204
2021-09-10 18:31:34.968019 : Epoch  1, Batch   1918, Loss  0.876902, Average Loss  0.872357, Time  0.170273
2021-09-10 18:31:36.543046 : Epoch  1, Batch   1919, Loss  0.867981, Average Loss  0.872313, Time  0.170138
2021-09-10 18:31:38.127035 : Epoch  1, Batch   1920, Loss  0.878543, Average Loss  0.872467, Time  0.181718
2021-09-10 18:31:39.721037 : Epoch  1, Batch   1921, Loss  0.876248, Average Loss  0.872570, Time  0.171631
2021-09-10 18:31:41.305858 : Epoch  1, Batch   1922, Loss  0.858014, Average Loss  0.872424, Time  0.176115
2021-09-10 18:31:42.901033 : Epoch  1, Batch   1923, Loss  0.896690, Average Loss  0.872515, Time  0.173093
2021-09-10 18:31:44.485787 : Epoch  1, Batch   1924, Loss  0.872628, Average Loss  0.872459, Time  0.170581
2021-09-10 18:31:46.057508 : Epoch  1, Batch   1925, Loss  0.849601, Average Loss  0.872309, Time  0.174090
2021-09-10 18:31:47.629775 : Epoch  1, Batch   1926, Loss  0.853809, Average Loss  0.872295, Time  0.176150
2021-09-10 18:31:49.235891 : Epoch  1, Batch   1927, Loss  0.867843, Average Loss  0.872251, Time  0.175317
2021-09-10 18:31:50.827728 : Epoch  1, Batch   1928, Loss  0.881480, Average Loss  0.872417, Time  0.171141
2021-09-10 18:31:52.421789 : Epoch  1, Batch   1929, Loss  0.868208, Average Loss  0.872348, Time  0.170660
2021-09-10 18:31:54.017827 : Epoch  1, Batch   1930, Loss  0.879092, Average Loss  0.872319, Time  0.169938
2021-09-10 18:31:55.595030 : Epoch  1, Batch   1931, Loss  0.878519, Average Loss  0.872365, Time  0.169904
2021-09-10 18:31:57.170075 : Epoch  1, Batch   1932, Loss  0.876018, Average Loss  0.872298, Time  0.175003
2021-09-10 18:31:58.773804 : Epoch  1, Batch   1933, Loss  0.870956, Average Loss  0.872285, Time  0.172702
2021-09-10 18:32:00.349839 : Epoch  1, Batch   1934, Loss  0.891396, Average Loss  0.872531, Time  0.171576
2021-09-10 18:32:01.925015 : Epoch  1, Batch   1935, Loss  0.884651, Average Loss  0.872492, Time  0.174955
2021-09-10 18:32:03.515756 : Epoch  1, Batch   1936, Loss  0.868244, Average Loss  0.872399, Time  0.169934
2021-09-10 18:32:05.118112 : Epoch  1, Batch   1937, Loss  0.874434, Average Loss  0.872478, Time  0.179399
2021-09-10 18:32:06.705129 : Epoch  1, Batch   1938, Loss  0.860492, Average Loss  0.872324, Time  0.170374
2021-09-10 18:32:08.288947 : Epoch  1, Batch   1939, Loss  0.906141, Average Loss  0.872418, Time  0.170099
2021-09-10 18:32:09.891776 : Epoch  1, Batch   1940, Loss  0.861550, Average Loss  0.872348, Time  0.176907
2021-09-10 18:32:11.481031 : Epoch  1, Batch   1941, Loss  0.862920, Average Loss  0.872105, Time  0.170246
2021-09-10 18:32:13.085739 : Epoch  1, Batch   1942, Loss  0.926859, Average Loss  0.872391, Time  0.172078
2021-09-10 18:32:14.678080 : Epoch  1, Batch   1943, Loss  0.876511, Average Loss  0.872438, Time  0.172255
2021-09-10 18:32:16.290733 : Epoch  1, Batch   1944, Loss  0.883618, Average Loss  0.872427, Time  0.179764
2021-09-10 18:32:17.897786 : Epoch  1, Batch   1945, Loss  0.860206, Average Loss  0.872328, Time  0.170293
2021-09-10 18:32:19.501864 : Epoch  1, Batch   1946, Loss  0.860241, Average Loss  0.872397, Time  0.169917
2021-09-10 18:32:21.105803 : Epoch  1, Batch   1947, Loss  0.861691, Average Loss  0.872244, Time  0.170322
2021-09-10 18:32:22.718021 : Epoch  1, Batch   1948, Loss  0.876220, Average Loss  0.872125, Time  0.173645
2021-09-10 18:32:24.320770 : Epoch  1, Batch   1949, Loss  0.882882, Average Loss  0.872189, Time  0.176904
2021-09-10 18:32:25.941024 : Epoch  1, Batch   1950, Loss  0.876445, Average Loss  0.872103, Time  0.170583
2021-09-10 18:32:27.541820 : Epoch  1, Batch   1951, Loss  0.894713, Average Loss  0.872300, Time  0.169795
2021-09-10 18:32:29.133796 : Epoch  1, Batch   1952, Loss  0.893828, Average Loss  0.872353, Time  0.175632
2021-09-10 18:32:30.755815 : Epoch  1, Batch   1953, Loss  0.852764, Average Loss  0.872303, Time  0.178452
2021-09-10 18:32:32.349727 : Epoch  1, Batch   1954, Loss  0.870940, Average Loss  0.872366, Time  0.170351
2021-09-10 18:32:33.944826 : Epoch  1, Batch   1955, Loss  0.874714, Average Loss  0.872386, Time  0.176241
2021-09-10 18:32:35.529733 : Epoch  1, Batch   1956, Loss  0.898579, Average Loss  0.872602, Time  0.172333
2021-09-10 18:32:37.117738 : Epoch  1, Batch   1957, Loss  0.829178, Average Loss  0.872305, Time  0.170385
2021-09-10 18:32:38.706866 : Epoch  1, Batch   1958, Loss  0.880925, Average Loss  0.872392, Time  0.171170
2021-09-10 18:32:40.299754 : Epoch  1, Batch   1959, Loss  0.861226, Average Loss  0.872373, Time  0.171215
2021-09-10 18:32:41.900757 : Epoch  1, Batch   1960, Loss  0.876734, Average Loss  0.872475, Time  0.176057
2021-09-10 18:32:43.493792 : Epoch  1, Batch   1961, Loss  0.839660, Average Loss  0.872336, Time  0.182731
2021-09-10 18:32:45.076851 : Epoch  1, Batch   1962, Loss  0.863836, Average Loss  0.872402, Time  0.170989
2021-09-10 18:32:46.658790 : Epoch  1, Batch   1963, Loss  0.870572, Average Loss  0.872574, Time  0.170062
2021-09-10 18:32:48.244790 : Epoch  1, Batch   1964, Loss  0.872451, Average Loss  0.872393, Time  0.172911
2021-09-10 18:32:49.854038 : Epoch  1, Batch   1965, Loss  0.854494, Average Loss  0.872184, Time  0.170156
2021-09-10 18:32:51.453838 : Epoch  1, Batch   1966, Loss  0.863812, Average Loss  0.872162, Time  0.170597
2021-09-10 18:32:53.033016 : Epoch  1, Batch   1967, Loss  0.845538, Average Loss  0.871936, Time  0.170014
2021-09-10 18:32:54.623794 : Epoch  1, Batch   1968, Loss  0.855063, Average Loss  0.871882, Time  0.169979
2021-09-10 18:32:56.212795 : Epoch  1, Batch   1969, Loss  0.875626, Average Loss  0.871912, Time  0.173757
2021-09-10 18:32:57.812853 : Epoch  1, Batch   1970, Loss  0.896415, Average Loss  0.871983, Time  0.170026
2021-09-10 18:32:59.394071 : Epoch  1, Batch   1971, Loss  0.858545, Average Loss  0.871933, Time  0.170041
2021-09-10 18:33:00.971026 : Epoch  1, Batch   1972, Loss  0.881049, Average Loss  0.871933, Time  0.174707
2021-09-10 18:33:02.558039 : Epoch  1, Batch   1973, Loss  0.865560, Average Loss  0.871881, Time  0.174957
2021-09-10 18:33:04.156745 : Epoch  1, Batch   1974, Loss  0.855846, Average Loss  0.871844, Time  0.174725
2021-09-10 18:33:05.782791 : Epoch  1, Batch   1975, Loss  0.881086, Average Loss  0.871951, Time  0.170256
2021-09-10 18:33:07.442895 : Epoch  1, Batch   1976, Loss  0.840057, Average Loss  0.871742, Time  0.170386
2021-09-10 18:33:09.019748 : Epoch  1, Batch   1977, Loss  0.889531, Average Loss  0.871701, Time  0.173048
2021-09-10 18:33:10.609747 : Epoch  1, Batch   1978, Loss  0.890206, Average Loss  0.871782, Time  0.177497
2021-09-10 18:33:12.200742 : Epoch  1, Batch   1979, Loss  0.896897, Average Loss  0.871980, Time  0.170866
2021-09-10 18:33:13.787735 : Epoch  1, Batch   1980, Loss  0.859299, Average Loss  0.871940, Time  0.179564
2021-09-10 18:33:15.377050 : Epoch  1, Batch   1981, Loss  0.863405, Average Loss  0.871836, Time  0.177848
2021-09-10 18:33:16.963023 : Epoch  1, Batch   1982, Loss  0.864997, Average Loss  0.871743, Time  0.173127
2021-09-10 18:33:18.566787 : Epoch  1, Batch   1983, Loss  0.871895, Average Loss  0.871916, Time  0.171700
2021-09-10 18:33:20.178018 : Epoch  1, Batch   1984, Loss  0.903214, Average Loss  0.872172, Time  0.169700
2021-09-10 18:33:21.768765 : Epoch  1, Batch   1985, Loss  0.870731, Average Loss  0.872140, Time  0.170822
2021-09-10 18:33:23.351778 : Epoch  1, Batch   1986, Loss  0.856232, Average Loss  0.872073, Time  0.173901
2021-09-10 18:33:24.943023 : Epoch  1, Batch   1987, Loss  0.870568, Average Loss  0.872047, Time  0.169770
2021-09-10 18:33:26.529044 : Epoch  1, Batch   1988, Loss  0.869707, Average Loss  0.871957, Time  0.171306
2021-09-10 18:33:28.112869 : Epoch  1, Batch   1989, Loss  0.871359, Average Loss  0.871900, Time  0.170027
2021-09-10 18:33:29.689083 : Epoch  1, Batch   1990, Loss  0.870273, Average Loss  0.871940, Time  0.170452
2021-09-10 18:33:31.267915 : Epoch  1, Batch   1991, Loss  0.856130, Average Loss  0.871920, Time  0.171045
2021-09-10 18:33:32.870043 : Epoch  1, Batch   1992, Loss  0.880067, Average Loss  0.872009, Time  0.170816
2021-09-10 18:33:34.457029 : Epoch  1, Batch   1993, Loss  0.868123, Average Loss  0.872062, Time  0.174225
2021-09-10 18:33:36.050037 : Epoch  1, Batch   1994, Loss  0.887584, Average Loss  0.872116, Time  0.169681
2021-09-10 18:33:37.637833 : Epoch  1, Batch   1995, Loss  0.842426, Average Loss  0.872112, Time  0.171537
2021-09-10 18:33:39.229029 : Epoch  1, Batch   1996, Loss  0.864101, Average Loss  0.872173, Time  0.170018
2021-09-10 18:33:40.818736 : Epoch  1, Batch   1997, Loss  0.866101, Average Loss  0.872053, Time  0.172758
2021-09-10 18:33:42.422163 : Epoch  1, Batch   1998, Loss  0.876457, Average Loss  0.872082, Time  0.173465
2021-09-10 18:33:44.035785 : Epoch  1, Batch   1999, Loss  0.832159, Average Loss  0.871970, Time  0.172744
2021-09-10 18:33:52.672218 : Epoch  1, Batch   2000, Loss  0.872325, Average Loss  0.872097, Time  0.184704
2021-09-10 18:38:36.179722 : CheckPoint: Validation Loss  0.00058919, Best Loss  0.00058919
2021-09-10 18:38:36.270627 : Best Model Updated
2021-09-10 18:38:38.902810 : Epoch  1, Batch   2001, Loss  0.886059, Average Loss  0.871897, Time  0.181242
2021-09-10 18:38:40.476843 : Epoch  1, Batch   2002, Loss  0.884772, Average Loss  0.871881, Time  0.171162
2021-09-10 18:38:42.063845 : Epoch  1, Batch   2003, Loss  0.840277, Average Loss  0.871815, Time  0.170679
2021-09-10 18:38:43.658061 : Epoch  1, Batch   2004, Loss  0.861750, Average Loss  0.871799, Time  0.170739
2021-09-10 18:38:45.258032 : Epoch  1, Batch   2005, Loss  0.892012, Average Loss  0.871899, Time  0.173485
2021-09-10 18:38:46.871432 : Epoch  1, Batch   2006, Loss  0.856963, Average Loss  0.871848, Time  0.170135
2021-09-10 18:38:48.478012 : Epoch  1, Batch   2007, Loss  0.900160, Average Loss  0.871962, Time  0.177085
2021-09-10 18:38:50.086031 : Epoch  1, Batch   2008, Loss  0.849366, Average Loss  0.871829, Time  0.172090
2021-09-10 18:38:51.683009 : Epoch  1, Batch   2009, Loss  0.871905, Average Loss  0.871671, Time  0.178927
2021-09-10 18:38:53.263036 : Epoch  1, Batch   2010, Loss  0.864395, Average Loss  0.871616, Time  0.174216
2021-09-10 18:38:54.849017 : Epoch  1, Batch   2011, Loss  0.859056, Average Loss  0.871482, Time  0.175196
2021-09-10 18:38:56.418049 : Epoch  1, Batch   2012, Loss  0.853795, Average Loss  0.871411, Time  0.173193
2021-09-10 18:38:57.983618 : Epoch  1, Batch   2013, Loss  0.884012, Average Loss  0.871489, Time  0.170300
2021-09-10 18:38:59.557064 : Epoch  1, Batch   2014, Loss  0.886194, Average Loss  0.871511, Time  0.180569
2021-09-10 18:39:01.141734 : Epoch  1, Batch   2015, Loss  0.833461, Average Loss  0.871329, Time  0.169651
2021-09-10 18:39:02.751024 : Epoch  1, Batch   2016, Loss  0.892468, Average Loss  0.871480, Time  0.174869
2021-09-10 18:39:04.338015 : Epoch  1, Batch   2017, Loss  0.887208, Average Loss  0.871538, Time  0.169689
2021-09-10 18:39:05.915823 : Epoch  1, Batch   2018, Loss  0.880658, Average Loss  0.871479, Time  0.171823
2021-09-10 18:39:07.503080 : Epoch  1, Batch   2019, Loss  0.838921, Average Loss  0.871238, Time  0.175027
2021-09-10 18:39:09.123028 : Epoch  1, Batch   2020, Loss  0.879602, Average Loss  0.871216, Time  0.173975
2021-09-10 18:39:10.750018 : Epoch  1, Batch   2021, Loss  0.879318, Average Loss  0.871193, Time  0.177897
2021-09-10 18:39:12.345815 : Epoch  1, Batch   2022, Loss  0.886371, Average Loss  0.871275, Time  0.174283
2021-09-10 18:39:14.057843 : Epoch  1, Batch   2023, Loss  0.889119, Average Loss  0.871378, Time  0.170011
2021-09-10 18:39:15.669749 : Epoch  1, Batch   2024, Loss  0.892398, Average Loss  0.871447, Time  0.169829
2021-09-10 18:39:17.255973 : Epoch  1, Batch   2025, Loss  0.879845, Average Loss  0.871474, Time  0.169280
2021-09-10 18:39:18.844772 : Epoch  1, Batch   2026, Loss  0.874119, Average Loss  0.871405, Time  0.182405
2021-09-10 18:39:20.450810 : Epoch  1, Batch   2027, Loss  0.873261, Average Loss  0.871499, Time  0.170038
2021-09-10 18:39:22.048870 : Epoch  1, Batch   2028, Loss  0.859023, Average Loss  0.871398, Time  0.174772
2021-09-10 18:39:23.642834 : Epoch  1, Batch   2029, Loss  0.891896, Average Loss  0.871535, Time  0.169989
2021-09-10 18:39:25.242673 : Epoch  1, Batch   2030, Loss  0.870728, Average Loss  0.871483, Time  0.172568
2021-09-10 18:39:26.833946 : Epoch  1, Batch   2031, Loss  0.890643, Average Loss  0.871392, Time  0.172374
2021-09-10 18:39:28.425749 : Epoch  1, Batch   2032, Loss  0.867468, Average Loss  0.871444, Time  0.175835
2021-09-10 18:39:30.008909 : Epoch  1, Batch   2033, Loss  0.854334, Average Loss  0.871344, Time  0.174326
2021-09-10 18:39:31.608783 : Epoch  1, Batch   2034, Loss  0.875636, Average Loss  0.871344, Time  0.170249
2021-09-10 18:39:33.184846 : Epoch  1, Batch   2035, Loss  0.885737, Average Loss  0.871302, Time  0.169762
2021-09-10 18:39:34.777026 : Epoch  1, Batch   2036, Loss  0.888114, Average Loss  0.871581, Time  0.172287
2021-09-10 18:39:36.431011 : Epoch  1, Batch   2037, Loss  0.870341, Average Loss  0.871586, Time  0.184705
2021-09-10 18:39:38.025050 : Epoch  1, Batch   2038, Loss  0.864151, Average Loss  0.871645, Time  0.170422
2021-09-10 18:39:39.606073 : Epoch  1, Batch   2039, Loss  0.875449, Average Loss  0.871717, Time  0.169583
2021-09-10 18:39:41.212762 : Epoch  1, Batch   2040, Loss  0.873169, Average Loss  0.871787, Time  0.172348
2021-09-10 18:39:42.822028 : Epoch  1, Batch   2041, Loss  0.926457, Average Loss  0.872081, Time  0.175657
2021-09-10 18:39:44.426594 : Epoch  1, Batch   2042, Loss  0.893537, Average Loss  0.872344, Time  0.174311
2021-09-10 18:39:46.004889 : Epoch  1, Batch   2043, Loss  0.895350, Average Loss  0.872485, Time  0.174033
2021-09-10 18:39:47.613027 : Epoch  1, Batch   2044, Loss  0.861894, Average Loss  0.872356, Time  0.178045
2021-09-10 18:39:49.179537 : Epoch  1, Batch   2045, Loss  0.842838, Average Loss  0.872244, Time  0.169874
2021-09-10 18:39:50.776755 : Epoch  1, Batch   2046, Loss  0.901683, Average Loss  0.872375, Time  0.181579
2021-09-10 18:39:52.379036 : Epoch  1, Batch   2047, Loss  0.864884, Average Loss  0.872374, Time  0.173316
2021-09-10 18:39:53.967024 : Epoch  1, Batch   2048, Loss  0.891193, Average Loss  0.872336, Time  0.176964
2021-09-10 18:39:55.543078 : Epoch  1, Batch   2049, Loss  0.857355, Average Loss  0.872256, Time  0.170321
2021-09-10 18:39:57.147025 : Epoch  1, Batch   2050, Loss  0.874470, Average Loss  0.872226, Time  0.170442
2021-09-10 18:39:58.754768 : Epoch  1, Batch   2051, Loss  0.887667, Average Loss  0.872306, Time  0.178242
2021-09-10 18:40:00.336799 : Epoch  1, Batch   2052, Loss  0.881598, Average Loss  0.872354, Time  0.170592
2021-09-10 18:40:01.914732 : Epoch  1, Batch   2053, Loss  0.866014, Average Loss  0.872244, Time  0.171541
2021-09-10 18:40:03.497869 : Epoch  1, Batch   2054, Loss  0.850925, Average Loss  0.872152, Time  0.173224
2021-09-10 18:40:05.078401 : Epoch  1, Batch   2055, Loss  0.851556, Average Loss  0.872050, Time  0.173059
2021-09-10 18:40:06.672763 : Epoch  1, Batch   2056, Loss  0.873156, Average Loss  0.871890, Time  0.170122
2021-09-10 18:40:08.248770 : Epoch  1, Batch   2057, Loss  0.873126, Average Loss  0.871984, Time  0.173736
2021-09-10 18:40:09.827031 : Epoch  1, Batch   2058, Loss  0.862567, Average Loss  0.871917, Time  0.170548
2021-09-10 18:40:11.421770 : Epoch  1, Batch   2059, Loss  0.877217, Average Loss  0.871936, Time  0.170340
2021-09-10 18:40:13.021031 : Epoch  1, Batch   2060, Loss  0.882787, Average Loss  0.871906, Time  0.170254
2021-09-10 18:40:14.638741 : Epoch  1, Batch   2061, Loss  0.866954, Average Loss  0.871875, Time  0.175035
2021-09-10 18:40:16.244735 : Epoch  1, Batch   2062, Loss  0.899200, Average Loss  0.871909, Time  0.169986
2021-09-10 18:40:17.840030 : Epoch  1, Batch   2063, Loss  0.864936, Average Loss  0.871944, Time  0.170008
2021-09-10 18:40:19.434762 : Epoch  1, Batch   2064, Loss  0.880936, Average Loss  0.871874, Time  0.170280
2021-09-10 18:40:21.023032 : Epoch  1, Batch   2065, Loss  0.866666, Average Loss  0.871863, Time  0.172228
2021-09-10 18:40:22.625814 : Epoch  1, Batch   2066, Loss  0.869631, Average Loss  0.871904, Time  0.182920
2021-09-10 18:40:24.203747 : Epoch  1, Batch   2067, Loss  0.875106, Average Loss  0.871784, Time  0.190285
2021-09-10 18:40:25.796028 : Epoch  1, Batch   2068, Loss  0.855503, Average Loss  0.871663, Time  0.174843
2021-09-10 18:40:27.394760 : Epoch  1, Batch   2069, Loss  0.858894, Average Loss  0.871561, Time  0.176022
2021-09-10 18:40:29.005018 : Epoch  1, Batch   2070, Loss  0.871821, Average Loss  0.871484, Time  0.175975
2021-09-10 18:40:30.582763 : Epoch  1, Batch   2071, Loss  0.866688, Average Loss  0.871541, Time  0.174706
2021-09-10 18:40:32.148859 : Epoch  1, Batch   2072, Loss  0.848701, Average Loss  0.871499, Time  0.172013
2021-09-10 18:40:33.750023 : Epoch  1, Batch   2073, Loss  0.862621, Average Loss  0.871619, Time  0.177133
2021-09-10 18:40:35.350028 : Epoch  1, Batch   2074, Loss  0.921110, Average Loss  0.871972, Time  0.176080
2021-09-10 18:40:36.961029 : Epoch  1, Batch   2075, Loss  0.881326, Average Loss  0.872009, Time  0.171927
2021-09-10 18:40:38.543863 : Epoch  1, Batch   2076, Loss  0.878683, Average Loss  0.872060, Time  0.170153
2021-09-10 18:40:40.125027 : Epoch  1, Batch   2077, Loss  0.870443, Average Loss  0.872062, Time  0.175588
2021-09-10 18:40:41.707037 : Epoch  1, Batch   2078, Loss  0.847949, Average Loss  0.871768, Time  0.178230
2021-09-10 18:40:43.297749 : Epoch  1, Batch   2079, Loss  0.890250, Average Loss  0.871657, Time  0.174404
2021-09-10 18:40:44.928418 : Epoch  1, Batch   2080, Loss  0.885832, Average Loss  0.871718, Time  0.174265
2021-09-10 18:40:46.522810 : Epoch  1, Batch   2081, Loss  0.862427, Average Loss  0.871684, Time  0.180217
2021-09-10 18:40:48.116852 : Epoch  1, Batch   2082, Loss  0.849342, Average Loss  0.871677, Time  0.174574
2021-09-10 18:40:49.696696 : Epoch  1, Batch   2083, Loss  0.894251, Average Loss  0.871884, Time  0.173584
2021-09-10 18:40:51.288031 : Epoch  1, Batch   2084, Loss  0.842028, Average Loss  0.871961, Time  0.178267
2021-09-10 18:40:52.859209 : Epoch  1, Batch   2085, Loss  0.876147, Average Loss  0.872111, Time  0.170178
2021-09-10 18:40:54.436799 : Epoch  1, Batch   2086, Loss  0.911142, Average Loss  0.872299, Time  0.173171
2021-09-10 18:40:56.014031 : Epoch  1, Batch   2087, Loss  0.826676, Average Loss  0.872076, Time  0.172450
2021-09-10 18:40:57.600023 : Epoch  1, Batch   2088, Loss  0.875079, Average Loss  0.872038, Time  0.174403
2021-09-10 18:40:59.165961 : Epoch  1, Batch   2089, Loss  0.842429, Average Loss  0.871838, Time  0.171837
2021-09-10 18:41:00.734479 : Epoch  1, Batch   2090, Loss  0.871541, Average Loss  0.871712, Time  0.169746
2021-09-10 18:41:02.316853 : Epoch  1, Batch   2091, Loss  0.859075, Average Loss  0.871554, Time  0.172610
2021-09-10 18:41:03.898779 : Epoch  1, Batch   2092, Loss  0.864069, Average Loss  0.871514, Time  0.173838
2021-09-10 18:41:05.479749 : Epoch  1, Batch   2093, Loss  0.880615, Average Loss  0.871523, Time  0.170141
2021-09-10 18:41:07.078846 : Epoch  1, Batch   2094, Loss  0.901271, Average Loss  0.871768, Time  0.174662
2021-09-10 18:41:08.665802 : Epoch  1, Batch   2095, Loss  0.890767, Average Loss  0.871813, Time  0.174400
2021-09-10 18:41:10.268030 : Epoch  1, Batch   2096, Loss  0.858276, Average Loss  0.871741, Time  0.174427
2021-09-10 18:41:11.849048 : Epoch  1, Batch   2097, Loss  0.856958, Average Loss  0.871732, Time  0.172786
2021-09-10 18:41:13.448755 : Epoch  1, Batch   2098, Loss  0.871101, Average Loss  0.871648, Time  0.170012
2021-09-10 18:41:15.049875 : Epoch  1, Batch   2099, Loss  0.838499, Average Loss  0.871676, Time  0.173305
2021-09-10 18:41:16.659772 : Epoch  1, Batch   2100, Loss  0.871914, Average Loss  0.871775, Time  0.174024
2021-09-10 18:46:00.356736 : CheckPoint: Validation Loss  0.00062492, Best Loss  0.00058919
2021-09-10 18:46:01.955920 : Epoch  1, Batch   2101, Loss  0.907637, Average Loss  0.872153, Time  0.176980
2021-09-10 18:46:03.572972 : Epoch  1, Batch   2102, Loss  0.881473, Average Loss  0.872199, Time  0.170267
2021-09-10 18:46:05.192811 : Epoch  1, Batch   2103, Loss  0.884164, Average Loss  0.872193, Time  0.169719
2021-09-10 18:46:06.813783 : Epoch  1, Batch   2104, Loss  0.846840, Average Loss  0.872069, Time  0.169753
2021-09-10 18:46:08.433983 : Epoch  1, Batch   2105, Loss  0.872266, Average Loss  0.872097, Time  0.169762
2021-09-10 18:46:10.040079 : Epoch  1, Batch   2106, Loss  0.879386, Average Loss  0.872136, Time  0.169947
2021-09-10 18:46:11.647740 : Epoch  1, Batch   2107, Loss  0.847089, Average Loss  0.872139, Time  0.169959
2021-09-10 18:46:13.255000 : Epoch  1, Batch   2108, Loss  0.867721, Average Loss  0.872060, Time  0.169684
2021-09-10 18:46:14.869822 : Epoch  1, Batch   2109, Loss  0.880714, Average Loss  0.871992, Time  0.169812
2021-09-10 18:46:16.489876 : Epoch  1, Batch   2110, Loss  0.885887, Average Loss  0.872118, Time  0.169767
2021-09-10 18:46:18.129977 : Epoch  1, Batch   2111, Loss  0.882534, Average Loss  0.872255, Time  0.171520
2021-09-10 18:46:19.756974 : Epoch  1, Batch   2112, Loss  0.845308, Average Loss  0.871950, Time  0.169712
2021-09-10 18:46:21.360097 : Epoch  1, Batch   2113, Loss  0.884752, Average Loss  0.872084, Time  0.174714
2021-09-10 18:46:22.985071 : Epoch  1, Batch   2114, Loss  0.860745, Average Loss  0.872011, Time  0.174719
2021-09-10 18:46:24.578022 : Epoch  1, Batch   2115, Loss  0.876033, Average Loss  0.872192, Time  0.171627
2021-09-10 18:46:26.167883 : Epoch  1, Batch   2116, Loss  0.860144, Average Loss  0.872090, Time  0.173778
2021-09-10 18:46:27.770997 : Epoch  1, Batch   2117, Loss  0.876958, Average Loss  0.872105, Time  0.169792
2021-09-10 18:46:29.379992 : Epoch  1, Batch   2118, Loss  0.902682, Average Loss  0.872234, Time  0.169585
2021-09-10 18:46:30.983998 : Epoch  1, Batch   2119, Loss  0.876563, Average Loss  0.872277, Time  0.170095
2021-09-10 18:46:32.577991 : Epoch  1, Batch   2120, Loss  0.852446, Average Loss  0.872146, Time  0.169828
2021-09-10 18:46:34.176740 : Epoch  1, Batch   2121, Loss  0.871149, Average Loss  0.872121, Time  0.169818
2021-09-10 18:46:35.779033 : Epoch  1, Batch   2122, Loss  0.897279, Average Loss  0.872317, Time  0.174629
2021-09-10 18:46:37.370952 : Epoch  1, Batch   2123, Loss  0.875236, Average Loss  0.872210, Time  0.170055
2021-09-10 18:46:38.968394 : Epoch  1, Batch   2124, Loss  0.871729, Average Loss  0.872205, Time  0.173654
2021-09-10 18:46:40.560994 : Epoch  1, Batch   2125, Loss  0.860496, Average Loss  0.872260, Time  0.169733
2021-09-10 18:46:42.174994 : Epoch  1, Batch   2126, Loss  0.859658, Average Loss  0.872289, Time  0.170295
2021-09-10 18:46:43.798981 : Epoch  1, Batch   2127, Loss  0.861350, Average Loss  0.872256, Time  0.169771
2021-09-10 18:46:45.410753 : Epoch  1, Batch   2128, Loss  0.880228, Average Loss  0.872250, Time  0.169918
2021-09-10 18:46:47.029997 : Epoch  1, Batch   2129, Loss  0.862016, Average Loss  0.872219, Time  0.170313
2021-09-10 18:46:48.650990 : Epoch  1, Batch   2130, Loss  0.896158, Average Loss  0.872305, Time  0.169661
2021-09-10 18:46:50.237838 : Epoch  1, Batch   2131, Loss  0.886777, Average Loss  0.872346, Time  0.172595
2021-09-10 18:46:51.837883 : Epoch  1, Batch   2132, Loss  0.877992, Average Loss  0.872356, Time  0.173146
2021-09-10 18:46:53.446741 : Epoch  1, Batch   2133, Loss  0.879764, Average Loss  0.872400, Time  0.170876
2021-09-10 18:46:55.032745 : Epoch  1, Batch   2134, Loss  0.893769, Average Loss  0.872412, Time  0.169760
2021-09-10 18:46:56.642926 : Epoch  1, Batch   2135, Loss  0.921505, Average Loss  0.872596, Time  0.169949
2021-09-10 18:46:58.259000 : Epoch  1, Batch   2136, Loss  0.871810, Average Loss  0.872614, Time  0.169535
2021-09-10 18:46:59.853735 : Epoch  1, Batch   2137, Loss  0.878199, Average Loss  0.872633, Time  0.172424
2021-09-10 18:47:01.487017 : Epoch  1, Batch   2138, Loss  0.895506, Average Loss  0.872808, Time  0.170165
2021-09-10 18:47:03.119770 : Epoch  1, Batch   2139, Loss  0.888825, Average Loss  0.872721, Time  0.183634
2021-09-10 18:47:04.733017 : Epoch  1, Batch   2140, Loss  0.844630, Average Loss  0.872636, Time  0.177812
2021-09-10 18:47:06.352025 : Epoch  1, Batch   2141, Loss  0.834133, Average Loss  0.872493, Time  0.176626
2021-09-10 18:47:07.935034 : Epoch  1, Batch   2142, Loss  0.861143, Average Loss  0.872164, Time  0.173281
2021-09-10 18:47:09.516910 : Epoch  1, Batch   2143, Loss  0.881107, Average Loss  0.872187, Time  0.169535
2021-09-10 18:47:11.137771 : Epoch  1, Batch   2144, Loss  0.902351, Average Loss  0.872281, Time  0.170180
2021-09-10 18:47:12.727740 : Epoch  1, Batch   2145, Loss  0.878977, Average Loss  0.872374, Time  0.170505
2021-09-10 18:47:14.330036 : Epoch  1, Batch   2146, Loss  0.863540, Average Loss  0.872391, Time  0.172451
2021-09-10 18:47:15.910824 : Epoch  1, Batch   2147, Loss  0.866611, Average Loss  0.872416, Time  0.173834
2021-09-10 18:47:17.497741 : Epoch  1, Batch   2148, Loss  0.891421, Average Loss  0.872492, Time  0.170294
2021-09-10 18:47:19.110994 : Epoch  1, Batch   2149, Loss  0.870843, Average Loss  0.872431, Time  0.169788
2021-09-10 18:47:20.736822 : Epoch  1, Batch   2150, Loss  0.860361, Average Loss  0.872351, Time  0.171387
2021-09-10 18:47:22.348989 : Epoch  1, Batch   2151, Loss  0.874009, Average Loss  0.872247, Time  0.169781
2021-09-10 18:47:23.970995 : Epoch  1, Batch   2152, Loss  0.870548, Average Loss  0.872131, Time  0.170102
2021-09-10 18:47:25.584774 : Epoch  1, Batch   2153, Loss  0.841487, Average Loss  0.872075, Time  0.170318
2021-09-10 18:47:27.185819 : Epoch  1, Batch   2154, Loss  0.869287, Average Loss  0.872066, Time  0.169988
2021-09-10 18:47:28.806975 : Epoch  1, Batch   2155, Loss  0.880591, Average Loss  0.872096, Time  0.169579
2021-09-10 18:47:30.410025 : Epoch  1, Batch   2156, Loss  0.856930, Average Loss  0.871888, Time  0.175704
2021-09-10 18:47:32.023026 : Epoch  1, Batch   2157, Loss  0.862493, Average Loss  0.872054, Time  0.181096
2021-09-10 18:47:33.618997 : Epoch  1, Batch   2158, Loss  0.879272, Average Loss  0.872046, Time  0.169913
2021-09-10 18:47:35.241997 : Epoch  1, Batch   2159, Loss  0.855766, Average Loss  0.872019, Time  0.169945
2021-09-10 18:47:36.860987 : Epoch  1, Batch   2160, Loss  0.873434, Average Loss  0.872002, Time  0.170099
2021-09-10 18:47:38.457744 : Epoch  1, Batch   2161, Loss  0.862710, Average Loss  0.872117, Time  0.174223
2021-09-10 18:47:40.045795 : Epoch  1, Batch   2162, Loss  0.862873, Average Loss  0.872112, Time  0.169802
2021-09-10 18:47:41.643024 : Epoch  1, Batch   2163, Loss  0.868814, Average Loss  0.872104, Time  0.169845
2021-09-10 18:47:43.232875 : Epoch  1, Batch   2164, Loss  0.853964, Average Loss  0.872011, Time  0.174049
2021-09-10 18:47:44.843728 : Epoch  1, Batch   2165, Loss  0.883646, Average Loss  0.872157, Time  0.181498
2021-09-10 18:47:46.436768 : Epoch  1, Batch   2166, Loss  0.864628, Average Loss  0.872161, Time  0.172012
2021-09-10 18:47:48.029795 : Epoch  1, Batch   2167, Loss  0.875968, Average Loss  0.872313, Time  0.173119
2021-09-10 18:47:49.620757 : Epoch  1, Batch   2168, Loss  0.849774, Average Loss  0.872287, Time  0.169452
2021-09-10 18:47:51.251830 : Epoch  1, Batch   2169, Loss  0.853193, Average Loss  0.872175, Time  0.171594
2021-09-10 18:47:52.846842 : Epoch  1, Batch   2170, Loss  0.881467, Average Loss  0.872100, Time  0.170020
2021-09-10 18:47:54.443993 : Epoch  1, Batch   2171, Loss  0.889470, Average Loss  0.872255, Time  0.169963
2021-09-10 18:47:56.060994 : Epoch  1, Batch   2172, Loss  0.852174, Average Loss  0.872110, Time  0.169860
2021-09-10 18:47:57.679719 : Epoch  1, Batch   2173, Loss  0.871271, Average Loss  0.872139, Time  0.169510
2021-09-10 18:47:59.280742 : Epoch  1, Batch   2174, Loss  0.900171, Average Loss  0.872360, Time  0.170030
2021-09-10 18:48:00.883732 : Epoch  1, Batch   2175, Loss  0.870564, Average Loss  0.872308, Time  0.169848
2021-09-10 18:48:02.525987 : Epoch  1, Batch   2176, Loss  0.884044, Average Loss  0.872528, Time  0.169734
2021-09-10 18:48:04.138997 : Epoch  1, Batch   2177, Loss  0.836337, Average Loss  0.872262, Time  0.172009
2021-09-10 18:48:05.744832 : Epoch  1, Batch   2178, Loss  0.839962, Average Loss  0.872010, Time  0.169883
2021-09-10 18:48:07.357817 : Epoch  1, Batch   2179, Loss  0.877313, Average Loss  0.871913, Time  0.169567
2021-09-10 18:48:08.967993 : Epoch  1, Batch   2180, Loss  0.886844, Average Loss  0.872050, Time  0.169851
2021-09-10 18:48:10.579981 : Epoch  1, Batch   2181, Loss  0.890322, Average Loss  0.872185, Time  0.170658
2021-09-10 18:48:12.186782 : Epoch  1, Batch   2182, Loss  0.837741, Average Loss  0.872049, Time  0.169396
2021-09-10 18:48:13.805036 : Epoch  1, Batch   2183, Loss  0.866983, Average Loss  0.872024, Time  0.189344
2021-09-10 18:48:15.411847 : Epoch  1, Batch   2184, Loss  0.859721, Average Loss  0.871807, Time  0.170955
2021-09-10 18:48:17.026944 : Epoch  1, Batch   2185, Loss  0.875385, Average Loss  0.871830, Time  0.184773
2021-09-10 18:48:18.618844 : Epoch  1, Batch   2186, Loss  0.900699, Average Loss  0.872052, Time  0.169856
2021-09-10 18:48:20.210738 : Epoch  1, Batch   2187, Loss  0.865064, Average Loss  0.872025, Time  0.169600
2021-09-10 18:48:21.803739 : Epoch  1, Batch   2188, Loss  0.885821, Average Loss  0.872105, Time  0.169853
2021-09-10 18:48:23.392771 : Epoch  1, Batch   2189, Loss  0.845168, Average Loss  0.871974, Time  0.174624
2021-09-10 18:48:24.975993 : Epoch  1, Batch   2190, Loss  0.857261, Average Loss  0.871909, Time  0.169713
2021-09-10 18:48:26.602827 : Epoch  1, Batch   2191, Loss  0.871629, Average Loss  0.871987, Time  0.169886
2021-09-10 18:48:28.202942 : Epoch  1, Batch   2192, Loss  0.870568, Average Loss  0.871939, Time  0.170365
2021-09-10 18:48:29.794841 : Epoch  1, Batch   2193, Loss  0.863101, Average Loss  0.871914, Time  0.169872
2021-09-10 18:48:31.411975 : Epoch  1, Batch   2194, Loss  0.868831, Average Loss  0.871820, Time  0.169413
2021-09-10 18:48:33.019036 : Epoch  1, Batch   2195, Loss  0.888498, Average Loss  0.872051, Time  0.169976
2021-09-10 18:48:34.623019 : Epoch  1, Batch   2196, Loss  0.888036, Average Loss  0.872170, Time  0.172317
2021-09-10 18:48:36.222751 : Epoch  1, Batch   2197, Loss  0.860381, Average Loss  0.872142, Time  0.170156
2021-09-10 18:48:37.833789 : Epoch  1, Batch   2198, Loss  0.865491, Average Loss  0.872087, Time  0.173481
2021-09-10 18:48:39.396004 : Epoch  1, Batch   2199, Loss  0.891901, Average Loss  0.872386, Time  0.169822
2021-09-10 18:48:40.972742 : Epoch  1, Batch   2200, Loss  0.881238, Average Loss  0.872430, Time  0.170111
2021-09-10 18:53:22.200728 : CheckPoint: Validation Loss  0.00060139, Best Loss  0.00058919
2021-09-10 18:53:23.795860 : Epoch  1, Batch   2201, Loss  0.889232, Average Loss  0.872446, Time  0.179973
2021-09-10 18:53:25.359997 : Epoch  1, Batch   2202, Loss  0.868803, Average Loss  0.872366, Time  0.173704
2021-09-10 18:53:26.950746 : Epoch  1, Batch   2203, Loss  0.846231, Average Loss  0.872396, Time  0.169986
2021-09-10 18:53:28.544069 : Epoch  1, Batch   2204, Loss  0.857647, Average Loss  0.872375, Time  0.172782
2021-09-10 18:53:30.124843 : Epoch  1, Batch   2205, Loss  0.864597, Average Loss  0.872238, Time  0.170213
2021-09-10 18:53:31.703384 : Epoch  1, Batch   2206, Loss  0.857287, Average Loss  0.872240, Time  0.174218
2021-09-10 18:53:33.363847 : Epoch  1, Batch   2207, Loss  0.860613, Average Loss  0.872042, Time  0.173262
2021-09-10 18:53:34.971015 : Epoch  1, Batch   2208, Loss  0.845470, Average Loss  0.872023, Time  0.170099
2021-09-10 18:53:36.560757 : Epoch  1, Batch   2209, Loss  0.847907, Average Loss  0.871903, Time  0.172834
2021-09-10 18:53:38.141026 : Epoch  1, Batch   2210, Loss  0.877467, Average Loss  0.871968, Time  0.173882
2021-09-10 18:53:39.736763 : Epoch  1, Batch   2211, Loss  0.859228, Average Loss  0.871969, Time  0.173945
2021-09-10 18:53:41.344777 : Epoch  1, Batch   2212, Loss  0.886612, Average Loss  0.872133, Time  0.170346
2021-09-10 18:53:42.962853 : Epoch  1, Batch   2213, Loss  0.878524, Average Loss  0.872106, Time  0.180808
2021-09-10 18:53:44.532019 : Epoch  1, Batch   2214, Loss  0.913055, Average Loss  0.872240, Time  0.170585
2021-09-10 18:53:46.097731 : Epoch  1, Batch   2215, Loss  0.846983, Average Loss  0.872308, Time  0.180511
2021-09-10 18:53:47.695026 : Epoch  1, Batch   2216, Loss  0.895579, Average Loss  0.872323, Time  0.173099
2021-09-10 18:53:49.305771 : Epoch  1, Batch   2217, Loss  0.872701, Average Loss  0.872251, Time  0.184328
2021-09-10 18:53:50.879776 : Epoch  1, Batch   2218, Loss  0.867889, Average Loss  0.872187, Time  0.171079
2021-09-10 18:53:52.480852 : Epoch  1, Batch   2219, Loss  0.883289, Average Loss  0.872409, Time  0.169991
2021-09-10 18:53:54.085740 : Epoch  1, Batch   2220, Loss  0.881843, Average Loss  0.872420, Time  0.169951
2021-09-10 18:53:55.697745 : Epoch  1, Batch   2221, Loss  0.865563, Average Loss  0.872351, Time  0.172933
2021-09-10 18:53:57.297029 : Epoch  1, Batch   2222, Loss  0.861824, Average Loss  0.872228, Time  0.172219
2021-09-10 18:53:58.892741 : Epoch  1, Batch   2223, Loss  0.871154, Average Loss  0.872138, Time  0.173633
2021-09-10 18:54:00.478027 : Epoch  1, Batch   2224, Loss  0.889936, Average Loss  0.872126, Time  0.174114
2021-09-10 18:54:02.041829 : Epoch  1, Batch   2225, Loss  0.849086, Average Loss  0.871972, Time  0.170859
2021-09-10 18:54:03.622886 : Epoch  1, Batch   2226, Loss  0.855159, Average Loss  0.871878, Time  0.174316
2021-09-10 18:54:05.221774 : Epoch  1, Batch   2227, Loss  0.855563, Average Loss  0.871789, Time  0.183970
2021-09-10 18:54:06.830777 : Epoch  1, Batch   2228, Loss  0.867656, Average Loss  0.871832, Time  0.174404
2021-09-10 18:54:08.426739 : Epoch  1, Batch   2229, Loss  0.909480, Average Loss  0.871920, Time  0.169857
2021-09-10 18:54:10.008027 : Epoch  1, Batch   2230, Loss  0.885557, Average Loss  0.871994, Time  0.169808
2021-09-10 18:54:11.603816 : Epoch  1, Batch   2231, Loss  0.899492, Average Loss  0.872039, Time  0.174319
2021-09-10 18:54:13.188028 : Epoch  1, Batch   2232, Loss  0.884189, Average Loss  0.872122, Time  0.174258
2021-09-10 18:54:14.801804 : Epoch  1, Batch   2233, Loss  0.885750, Average Loss  0.872279, Time  0.178937
2021-09-10 18:54:16.414027 : Epoch  1, Batch   2234, Loss  0.869408, Average Loss  0.872248, Time  0.170335
2021-09-10 18:54:18.028783 : Epoch  1, Batch   2235, Loss  0.851884, Average Loss  0.872079, Time  0.170005
2021-09-10 18:54:19.632733 : Epoch  1, Batch   2236, Loss  0.873183, Average Loss  0.872004, Time  0.170130
2021-09-10 18:54:21.216736 : Epoch  1, Batch   2237, Loss  0.847247, Average Loss  0.871889, Time  0.169983
2021-09-10 18:54:22.854023 : Epoch  1, Batch   2238, Loss  0.892494, Average Loss  0.872030, Time  0.170849
2021-09-10 18:54:24.454064 : Epoch  1, Batch   2239, Loss  0.866675, Average Loss  0.871987, Time  0.170198
2021-09-10 18:54:26.049737 : Epoch  1, Batch   2240, Loss  0.869883, Average Loss  0.871970, Time  0.170817
2021-09-10 18:54:27.640143 : Epoch  1, Batch   2241, Loss  0.845964, Average Loss  0.871568, Time  0.172600
2021-09-10 18:54:29.216782 : Epoch  1, Batch   2242, Loss  0.903238, Average Loss  0.871616, Time  0.184457
2021-09-10 18:54:30.801776 : Epoch  1, Batch   2243, Loss  0.856308, Average Loss  0.871421, Time  0.176147
2021-09-10 18:54:32.415861 : Epoch  1, Batch   2244, Loss  0.860470, Average Loss  0.871414, Time  0.170973
2021-09-10 18:54:34.019729 : Epoch  1, Batch   2245, Loss  0.855903, Average Loss  0.871479, Time  0.173632
2021-09-10 18:54:35.591013 : Epoch  1, Batch   2246, Loss  0.881524, Average Loss  0.871378, Time  0.173178
2021-09-10 18:54:37.167968 : Epoch  1, Batch   2247, Loss  0.857303, Average Loss  0.871340, Time  0.173516
2021-09-10 18:54:38.801768 : Epoch  1, Batch   2248, Loss  0.887667, Average Loss  0.871323, Time  0.170060
2021-09-10 18:54:40.401858 : Epoch  1, Batch   2249, Loss  0.909712, Average Loss  0.871585, Time  0.170882
2021-09-10 18:54:41.997806 : Epoch  1, Batch   2250, Loss  0.876337, Average Loss  0.871594, Time  0.176334
2021-09-10 18:54:43.556051 : Epoch  1, Batch   2251, Loss  0.842684, Average Loss  0.871369, Time  0.173718
2021-09-10 18:54:45.140830 : Epoch  1, Batch   2252, Loss  0.859336, Average Loss  0.871258, Time  0.174143
2021-09-10 18:54:46.729767 : Epoch  1, Batch   2253, Loss  0.837573, Average Loss  0.871116, Time  0.170631
2021-09-10 18:54:48.337031 : Epoch  1, Batch   2254, Loss  0.830954, Average Loss  0.871016, Time  0.169883
2021-09-10 18:54:49.948723 : Epoch  1, Batch   2255, Loss  0.878877, Average Loss  0.871152, Time  0.170146
2021-09-10 18:54:51.547800 : Epoch  1, Batch   2256, Loss  0.884768, Average Loss  0.871210, Time  0.176349
2021-09-10 18:54:53.105873 : Epoch  1, Batch   2257, Loss  0.863019, Average Loss  0.871160, Time  0.169914
2021-09-10 18:54:54.723829 : Epoch  1, Batch   2258, Loss  0.881837, Average Loss  0.871256, Time  0.178726
2021-09-10 18:54:56.326798 : Epoch  1, Batch   2259, Loss  0.877669, Average Loss  0.871258, Time  0.173749
2021-09-10 18:54:57.919910 : Epoch  1, Batch   2260, Loss  0.868604, Average Loss  0.871187, Time  0.175113
2021-09-10 18:54:59.525031 : Epoch  1, Batch   2261, Loss  0.858385, Average Loss  0.871145, Time  0.174082
2021-09-10 18:55:01.107036 : Epoch  1, Batch   2262, Loss  0.861996, Average Loss  0.870959, Time  0.170711
2021-09-10 18:55:02.675047 : Epoch  1, Batch   2263, Loss  0.869584, Average Loss  0.870982, Time  0.176901
2021-09-10 18:55:04.231035 : Epoch  1, Batch   2264, Loss  0.876556, Average Loss  0.870960, Time  0.170572
2021-09-10 18:55:05.805066 : Epoch  1, Batch   2265, Loss  0.820299, Average Loss  0.870728, Time  0.170404
2021-09-10 18:55:07.418762 : Epoch  1, Batch   2266, Loss  0.886636, Average Loss  0.870813, Time  0.175039
2021-09-10 18:55:08.989748 : Epoch  1, Batch   2267, Loss  0.898307, Average Loss  0.870929, Time  0.170146
2021-09-10 18:55:10.583782 : Epoch  1, Batch   2268, Loss  0.834546, Average Loss  0.870824, Time  0.174721
2021-09-10 18:55:12.178084 : Epoch  1, Batch   2269, Loss  0.867242, Average Loss  0.870866, Time  0.171892
2021-09-10 18:55:13.767773 : Epoch  1, Batch   2270, Loss  0.864616, Average Loss  0.870830, Time  0.176609
2021-09-10 18:55:15.356607 : Epoch  1, Batch   2271, Loss  0.875114, Average Loss  0.870872, Time  0.173007
2021-09-10 18:55:16.924750 : Epoch  1, Batch   2272, Loss  0.878247, Average Loss  0.871020, Time  0.171159
2021-09-10 18:55:18.515810 : Epoch  1, Batch   2273, Loss  0.877025, Average Loss  0.871092, Time  0.174229
2021-09-10 18:55:20.116778 : Epoch  1, Batch   2274, Loss  0.845724, Average Loss  0.870715, Time  0.181337
2021-09-10 18:55:21.724838 : Epoch  1, Batch   2275, Loss  0.854901, Average Loss  0.870583, Time  0.170540
2021-09-10 18:55:23.369021 : Epoch  1, Batch   2276, Loss  0.877893, Average Loss  0.870579, Time  0.170605
2021-09-10 18:55:24.961747 : Epoch  1, Batch   2277, Loss  0.898390, Average Loss  0.870719, Time  0.170312
2021-09-10 18:55:26.572789 : Epoch  1, Batch   2278, Loss  0.889825, Average Loss  0.870928, Time  0.170229
2021-09-10 18:55:28.161780 : Epoch  1, Batch   2279, Loss  0.868823, Average Loss  0.870821, Time  0.173793
2021-09-10 18:55:29.735730 : Epoch  1, Batch   2280, Loss  0.847495, Average Loss  0.870629, Time  0.176851
2021-09-10 18:55:31.318022 : Epoch  1, Batch   2281, Loss  0.867879, Average Loss  0.870656, Time  0.176689
2021-09-10 18:55:32.890780 : Epoch  1, Batch   2282, Loss  0.868522, Average Loss  0.870752, Time  0.173345
2021-09-10 18:55:34.454821 : Epoch  1, Batch   2283, Loss  0.911469, Average Loss  0.870838, Time  0.172063
2021-09-10 18:55:36.021164 : Epoch  1, Batch   2284, Loss  0.875176, Average Loss  0.871004, Time  0.170027
2021-09-10 18:55:37.589735 : Epoch  1, Batch   2285, Loss  0.854514, Average Loss  0.870896, Time  0.169929
2021-09-10 18:55:39.181863 : Epoch  1, Batch   2286, Loss  0.859095, Average Loss  0.870636, Time  0.169995
2021-09-10 18:55:40.797756 : Epoch  1, Batch   2287, Loss  0.873419, Average Loss  0.870870, Time  0.170263
2021-09-10 18:55:42.399946 : Epoch  1, Batch   2288, Loss  0.890201, Average Loss  0.870945, Time  0.173838
2021-09-10 18:55:43.982747 : Epoch  1, Batch   2289, Loss  0.895466, Average Loss  0.871210, Time  0.173937
2021-09-10 18:55:45.576032 : Epoch  1, Batch   2290, Loss  0.892767, Average Loss  0.871316, Time  0.170094
2021-09-10 18:55:47.162736 : Epoch  1, Batch   2291, Loss  0.849163, Average Loss  0.871267, Time  0.176502
2021-09-10 18:55:48.743750 : Epoch  1, Batch   2292, Loss  0.881897, Average Loss  0.871356, Time  0.173230
2021-09-10 18:55:50.317753 : Epoch  1, Batch   2293, Loss  0.881886, Average Loss  0.871362, Time  0.169740
2021-09-10 18:55:51.892859 : Epoch  1, Batch   2294, Loss  0.855048, Average Loss  0.871131, Time  0.169861
2021-09-10 18:55:53.481840 : Epoch  1, Batch   2295, Loss  0.866110, Average Loss  0.871008, Time  0.169968
2021-09-10 18:55:55.060896 : Epoch  1, Batch   2296, Loss  0.886742, Average Loss  0.871150, Time  0.173716
2021-09-10 18:55:56.648796 : Epoch  1, Batch   2297, Loss  0.859860, Average Loss  0.871165, Time  0.177382
2021-09-10 18:55:58.222035 : Epoch  1, Batch   2298, Loss  0.869759, Average Loss  0.871158, Time  0.171318
2021-09-10 18:55:59.806033 : Epoch  1, Batch   2299, Loss  0.847022, Average Loss  0.871201, Time  0.180667
2021-09-10 18:56:01.395027 : Epoch  1, Batch   2300, Loss  0.859207, Average Loss  0.871137, Time  0.172821
2021-09-10 19:00:42.998713 : CheckPoint: Validation Loss  0.00059220, Best Loss  0.00058919
2021-09-10 19:00:44.663851 : Epoch  1, Batch   2301, Loss  0.887105, Average Loss  0.871035, Time  0.186079
2021-09-10 19:00:46.265779 : Epoch  1, Batch   2302, Loss  0.886624, Average Loss  0.871060, Time  0.178237
2021-09-10 19:00:47.849996 : Epoch  1, Batch   2303, Loss  0.860875, Average Loss  0.870944, Time  0.170956
2021-09-10 19:00:49.437011 : Epoch  1, Batch   2304, Loss  0.882984, Average Loss  0.871125, Time  0.178679
2021-09-10 19:00:51.038844 : Epoch  1, Batch   2305, Loss  0.859812, Average Loss  0.871062, Time  0.177029
2021-09-10 19:00:52.653022 : Epoch  1, Batch   2306, Loss  0.887381, Average Loss  0.871102, Time  0.177257
2021-09-10 19:00:54.236779 : Epoch  1, Batch   2307, Loss  0.902852, Average Loss  0.871381, Time  0.172985
2021-09-10 19:00:55.827020 : Epoch  1, Batch   2308, Loss  0.858213, Average Loss  0.871334, Time  0.172673
2021-09-10 19:00:57.397838 : Epoch  1, Batch   2309, Loss  0.843420, Average Loss  0.871147, Time  0.170429
2021-09-10 19:00:58.997032 : Epoch  1, Batch   2310, Loss  0.861228, Average Loss  0.871024, Time  0.175127
2021-09-10 19:01:00.593019 : Epoch  1, Batch   2311, Loss  0.863773, Average Loss  0.870930, Time  0.175959
2021-09-10 19:01:02.190743 : Epoch  1, Batch   2312, Loss  0.881282, Average Loss  0.871110, Time  0.177728
2021-09-10 19:01:03.782753 : Epoch  1, Batch   2313, Loss  0.880870, Average Loss  0.871090, Time  0.170199
2021-09-10 19:01:05.382023 : Epoch  1, Batch   2314, Loss  0.882313, Average Loss  0.871198, Time  0.174396
2021-09-10 19:01:06.964818 : Epoch  1, Batch   2315, Loss  0.856597, Average Loss  0.871101, Time  0.169754
2021-09-10 19:01:08.560789 : Epoch  1, Batch   2316, Loss  0.875402, Average Loss  0.871177, Time  0.177820
2021-09-10 19:01:10.154024 : Epoch  1, Batch   2317, Loss  0.898141, Average Loss  0.871283, Time  0.177398
2021-09-10 19:01:11.744026 : Epoch  1, Batch   2318, Loss  0.864027, Average Loss  0.871090, Time  0.174006
2021-09-10 19:01:13.316016 : Epoch  1, Batch   2319, Loss  0.890723, Average Loss  0.871161, Time  0.170172
2021-09-10 19:01:14.908747 : Epoch  1, Batch   2320, Loss  0.910269, Average Loss  0.871450, Time  0.169993
2021-09-10 19:01:16.534784 : Epoch  1, Batch   2321, Loss  0.840647, Average Loss  0.871297, Time  0.173907
2021-09-10 19:01:18.116800 : Epoch  1, Batch   2322, Loss  0.866522, Average Loss  0.871144, Time  0.170198
2021-09-10 19:01:19.733732 : Epoch  1, Batch   2323, Loss  0.892127, Average Loss  0.871228, Time  0.183043
2021-09-10 19:01:21.322049 : Epoch  1, Batch   2324, Loss  0.848534, Average Loss  0.871112, Time  0.173994
2021-09-10 19:01:22.927029 : Epoch  1, Batch   2325, Loss  0.863659, Average Loss  0.871128, Time  0.178274
2021-09-10 19:01:24.514875 : Epoch  1, Batch   2326, Loss  0.897274, Average Loss  0.871316, Time  0.172206
2021-09-10 19:01:26.107845 : Epoch  1, Batch   2327, Loss  0.855547, Average Loss  0.871287, Time  0.180515
2021-09-10 19:01:27.688915 : Epoch  1, Batch   2328, Loss  0.869265, Average Loss  0.871232, Time  0.170284
2021-09-10 19:01:29.315364 : Epoch  1, Batch   2329, Loss  0.857242, Average Loss  0.871208, Time  0.172153
2021-09-10 19:01:30.929028 : Epoch  1, Batch   2330, Loss  0.880509, Average Loss  0.871130, Time  0.170182
2021-09-10 19:01:32.543030 : Epoch  1, Batch   2331, Loss  0.840215, Average Loss  0.870897, Time  0.178438
2021-09-10 19:01:34.146023 : Epoch  1, Batch   2332, Loss  0.900326, Average Loss  0.871009, Time  0.171297
2021-09-10 19:01:35.733751 : Epoch  1, Batch   2333, Loss  0.873229, Average Loss  0.870976, Time  0.170223
2021-09-10 19:01:37.325025 : Epoch  1, Batch   2334, Loss  0.903968, Average Loss  0.871027, Time  0.172124
2021-09-10 19:01:38.919992 : Epoch  1, Batch   2335, Loss  0.863392, Average Loss  0.870737, Time  0.178854
2021-09-10 19:01:40.518029 : Epoch  1, Batch   2336, Loss  0.876813, Average Loss  0.870762, Time  0.175324
2021-09-10 19:01:42.129068 : Epoch  1, Batch   2337, Loss  0.830436, Average Loss  0.870523, Time  0.170424
2021-09-10 19:01:43.754900 : Epoch  1, Batch   2338, Loss  0.858287, Average Loss  0.870337, Time  0.177489
2021-09-10 19:01:45.331781 : Epoch  1, Batch   2339, Loss  0.851269, Average Loss  0.870149, Time  0.172978
2021-09-10 19:01:46.927761 : Epoch  1, Batch   2340, Loss  0.879118, Average Loss  0.870321, Time  0.176645
2021-09-10 19:01:48.534079 : Epoch  1, Batch   2341, Loss  0.859883, Average Loss  0.870450, Time  0.170642
2021-09-10 19:01:50.152029 : Epoch  1, Batch   2342, Loss  0.896547, Average Loss  0.870627, Time  0.177193
2021-09-10 19:01:51.749899 : Epoch  1, Batch   2343, Loss  0.854773, Average Loss  0.870496, Time  0.171611
2021-09-10 19:01:53.332821 : Epoch  1, Batch   2344, Loss  0.871400, Average Loss  0.870341, Time  0.174930
2021-09-10 19:01:54.903750 : Epoch  1, Batch   2345, Loss  0.864698, Average Loss  0.870269, Time  0.176550
2021-09-10 19:01:56.485024 : Epoch  1, Batch   2346, Loss  0.855018, Average Loss  0.870227, Time  0.169980
2021-09-10 19:01:58.078739 : Epoch  1, Batch   2347, Loss  0.870917, Average Loss  0.870248, Time  0.170332
2021-09-10 19:01:59.672877 : Epoch  1, Batch   2348, Loss  0.866507, Average Loss  0.870124, Time  0.173290
2021-09-10 19:02:01.280744 : Epoch  1, Batch   2349, Loss  0.880806, Average Loss  0.870174, Time  0.176631
2021-09-10 19:02:02.901827 : Epoch  1, Batch   2350, Loss  0.851406, Average Loss  0.870129, Time  0.173541
2021-09-10 19:02:04.495736 : Epoch  1, Batch   2351, Loss  0.884469, Average Loss  0.870181, Time  0.169747
2021-09-10 19:02:06.101037 : Epoch  1, Batch   2352, Loss  0.884673, Average Loss  0.870252, Time  0.173182
2021-09-10 19:02:07.691786 : Epoch  1, Batch   2353, Loss  0.882925, Average Loss  0.870459, Time  0.176765
2021-09-10 19:02:09.310025 : Epoch  1, Batch   2354, Loss  0.870915, Average Loss  0.870467, Time  0.175824
2021-09-10 19:02:10.896756 : Epoch  1, Batch   2355, Loss  0.860499, Average Loss  0.870367, Time  0.170694
2021-09-10 19:02:12.482532 : Epoch  1, Batch   2356, Loss  0.861096, Average Loss  0.870387, Time  0.173267
2021-09-10 19:02:14.051738 : Epoch  1, Batch   2357, Loss  0.866474, Average Loss  0.870407, Time  0.175235
2021-09-10 19:02:15.648021 : Epoch  1, Batch   2358, Loss  0.884062, Average Loss  0.870431, Time  0.184825
2021-09-10 19:02:17.243741 : Epoch  1, Batch   2359, Loss  0.842602, Average Loss  0.870365, Time  0.169984
2021-09-10 19:02:18.851029 : Epoch  1, Batch   2360, Loss  0.868783, Average Loss  0.870342, Time  0.178824
2021-09-10 19:02:20.444858 : Epoch  1, Batch   2361, Loss  0.894689, Average Loss  0.870502, Time  0.170152
2021-09-10 19:02:22.042026 : Epoch  1, Batch   2362, Loss  0.880796, Average Loss  0.870592, Time  0.173924
2021-09-10 19:02:23.637742 : Epoch  1, Batch   2363, Loss  0.866320, Average Loss  0.870579, Time  0.171449
2021-09-10 19:02:25.220032 : Epoch  1, Batch   2364, Loss  0.867188, Average Loss  0.870645, Time  0.170214
2021-09-10 19:02:26.856792 : Epoch  1, Batch   2365, Loss  0.881140, Average Loss  0.870633, Time  0.170140
2021-09-10 19:02:28.458030 : Epoch  1, Batch   2366, Loss  0.867181, Average Loss  0.870646, Time  0.170988
2021-09-10 19:02:30.050029 : Epoch  1, Batch   2367, Loss  0.873475, Average Loss  0.870633, Time  0.170912
2021-09-10 19:02:31.636039 : Epoch  1, Batch   2368, Loss  0.863929, Average Loss  0.870704, Time  0.174170
2021-09-10 19:02:33.254745 : Epoch  1, Batch   2369, Loss  0.883417, Average Loss  0.870855, Time  0.193072
2021-09-10 19:02:34.850818 : Epoch  1, Batch   2370, Loss  0.872277, Average Loss  0.870809, Time  0.170522
2021-09-10 19:02:36.460065 : Epoch  1, Batch   2371, Loss  0.881098, Average Loss  0.870767, Time  0.170487
2021-09-10 19:02:38.064806 : Epoch  1, Batch   2372, Loss  0.872595, Average Loss  0.870869, Time  0.170505
2021-09-10 19:02:39.671754 : Epoch  1, Batch   2373, Loss  0.892738, Average Loss  0.870977, Time  0.175403
2021-09-10 19:02:41.264054 : Epoch  1, Batch   2374, Loss  0.853983, Average Loss  0.870746, Time  0.174295
2021-09-10 19:02:42.850844 : Epoch  1, Batch   2375, Loss  0.901992, Average Loss  0.870903, Time  0.175180
2021-09-10 19:02:44.435484 : Epoch  1, Batch   2376, Loss  0.883315, Average Loss  0.870899, Time  0.171635
2021-09-10 19:02:46.069836 : Epoch  1, Batch   2377, Loss  0.849565, Average Loss  0.870965, Time  0.176721
2021-09-10 19:02:47.654827 : Epoch  1, Batch   2378, Loss  0.861688, Average Loss  0.871074, Time  0.170675
2021-09-10 19:02:49.242023 : Epoch  1, Batch   2379, Loss  0.855706, Average Loss  0.870966, Time  0.169780
2021-09-10 19:02:50.836024 : Epoch  1, Batch   2380, Loss  0.854939, Average Loss  0.870806, Time  0.174765
2021-09-10 19:02:52.429755 : Epoch  1, Batch   2381, Loss  0.858592, Average Loss  0.870648, Time  0.170269
2021-09-10 19:02:54.025785 : Epoch  1, Batch   2382, Loss  0.900517, Average Loss  0.870962, Time  0.169967
2021-09-10 19:02:55.620812 : Epoch  1, Batch   2383, Loss  0.870443, Average Loss  0.870979, Time  0.170769
2021-09-10 19:02:57.209739 : Epoch  1, Batch   2384, Loss  0.858748, Average Loss  0.870974, Time  0.175578
2021-09-10 19:02:58.799028 : Epoch  1, Batch   2385, Loss  0.885959, Average Loss  0.871027, Time  0.170501
2021-09-10 19:03:00.401783 : Epoch  1, Batch   2386, Loss  0.849757, Average Loss  0.870772, Time  0.170244
2021-09-10 19:03:01.994101 : Epoch  1, Batch   2387, Loss  0.898882, Average Loss  0.870941, Time  0.173004
2021-09-10 19:03:03.574030 : Epoch  1, Batch   2388, Loss  0.884506, Average Loss  0.870935, Time  0.170177
2021-09-10 19:03:05.170792 : Epoch  1, Batch   2389, Loss  0.842804, Average Loss  0.870923, Time  0.174044
2021-09-10 19:03:06.763024 : Epoch  1, Batch   2390, Loss  0.856882, Average Loss  0.870921, Time  0.171115
2021-09-10 19:03:08.345027 : Epoch  1, Batch   2391, Loss  0.856942, Average Loss  0.870848, Time  0.169915
2021-09-10 19:03:09.922248 : Epoch  1, Batch   2392, Loss  0.843651, Average Loss  0.870713, Time  0.172618
2021-09-10 19:03:11.500952 : Epoch  1, Batch   2393, Loss  0.848735, Average Loss  0.870641, Time  0.173030
2021-09-10 19:03:13.088028 : Epoch  1, Batch   2394, Loss  0.836430, Average Loss  0.870479, Time  0.173730
2021-09-10 19:03:14.688021 : Epoch  1, Batch   2395, Loss  0.843172, Average Loss  0.870253, Time  0.172962
2021-09-10 19:03:16.290028 : Epoch  1, Batch   2396, Loss  0.848012, Average Loss  0.870052, Time  0.177332
2021-09-10 19:03:17.885024 : Epoch  1, Batch   2397, Loss  0.882163, Average Loss  0.870161, Time  0.174454
2021-09-10 19:03:19.474820 : Epoch  1, Batch   2398, Loss  0.878308, Average Loss  0.870225, Time  0.171651
2021-09-10 19:03:21.048042 : Epoch  1, Batch   2399, Loss  0.854682, Average Loss  0.870039, Time  0.173008
2021-09-10 19:03:22.638022 : Epoch  1, Batch   2400, Loss  0.889065, Average Loss  0.870078, Time  0.169914
2021-09-10 19:08:04.135711 : CheckPoint: Validation Loss  0.00060461, Best Loss  0.00058919
2021-09-10 19:08:05.741437 : Epoch  1, Batch   2401, Loss  0.869897, Average Loss  0.869982, Time  0.179858
2021-09-10 19:08:07.320731 : Epoch  1, Batch   2402, Loss  0.869908, Average Loss  0.869987, Time  0.170116
2021-09-10 19:08:08.924796 : Epoch  1, Batch   2403, Loss  0.863870, Average Loss  0.870076, Time  0.169783
2021-09-10 19:08:10.537975 : Epoch  1, Batch   2404, Loss  0.881277, Average Loss  0.870194, Time  0.169863
2021-09-10 19:08:12.131838 : Epoch  1, Batch   2405, Loss  0.870882, Average Loss  0.870225, Time  0.170650
2021-09-10 19:08:13.726033 : Epoch  1, Batch   2406, Loss  0.868858, Average Loss  0.870283, Time  0.175097
2021-09-10 19:08:15.309807 : Epoch  1, Batch   2407, Loss  0.877617, Average Loss  0.870368, Time  0.169757
2021-09-10 19:08:16.913993 : Epoch  1, Batch   2408, Loss  0.909700, Average Loss  0.870689, Time  0.169951
2021-09-10 19:08:18.512018 : Epoch  1, Batch   2409, Loss  0.870915, Average Loss  0.870804, Time  0.170123
2021-09-10 19:08:20.112754 : Epoch  1, Batch   2410, Loss  0.881646, Average Loss  0.870825, Time  0.170048
2021-09-10 19:08:21.728004 : Epoch  1, Batch   2411, Loss  0.893538, Average Loss  0.870997, Time  0.170131
2021-09-10 19:08:23.335002 : Epoch  1, Batch   2412, Loss  0.898504, Average Loss  0.871056, Time  0.169692
2021-09-10 19:08:24.944782 : Epoch  1, Batch   2413, Loss  0.906755, Average Loss  0.871197, Time  0.169988
2021-09-10 19:08:26.553846 : Epoch  1, Batch   2414, Loss  0.887262, Average Loss  0.871068, Time  0.169736
2021-09-10 19:08:28.154990 : Epoch  1, Batch   2415, Loss  0.831665, Average Loss  0.870992, Time  0.169972
2021-09-10 19:08:29.759778 : Epoch  1, Batch   2416, Loss  0.881363, Average Loss  0.870921, Time  0.169661
2021-09-10 19:08:31.369277 : Epoch  1, Batch   2417, Loss  0.868684, Average Loss  0.870900, Time  0.170066
2021-09-10 19:08:32.991854 : Epoch  1, Batch   2418, Loss  0.890325, Average Loss  0.871013, Time  0.169969
2021-09-10 19:08:34.596998 : Epoch  1, Batch   2419, Loss  0.839012, Average Loss  0.870791, Time  0.169530
2021-09-10 19:08:36.188765 : Epoch  1, Batch   2420, Loss  0.855812, Average Loss  0.870661, Time  0.172296
2021-09-10 19:08:37.807758 : Epoch  1, Batch   2421, Loss  0.871130, Average Loss  0.870689, Time  0.172918
2021-09-10 19:08:39.400061 : Epoch  1, Batch   2422, Loss  0.851225, Average Loss  0.870636, Time  0.173300
2021-09-10 19:08:40.989997 : Epoch  1, Batch   2423, Loss  0.869628, Average Loss  0.870628, Time  0.169787
2021-09-10 19:08:42.602991 : Epoch  1, Batch   2424, Loss  0.853392, Average Loss  0.870446, Time  0.170300
2021-09-10 19:08:44.189030 : Epoch  1, Batch   2425, Loss  0.881924, Average Loss  0.870610, Time  0.170004
2021-09-10 19:08:45.769837 : Epoch  1, Batch   2426, Loss  0.917642, Average Loss  0.870922, Time  0.169630
2021-09-10 19:08:47.376995 : Epoch  1, Batch   2427, Loss  0.852435, Average Loss  0.870907, Time  0.169546
2021-09-10 19:08:48.983987 : Epoch  1, Batch   2428, Loss  0.880775, Average Loss  0.870972, Time  0.169562
2021-09-10 19:08:50.593001 : Epoch  1, Batch   2429, Loss  0.868710, Average Loss  0.870768, Time  0.169980
2021-09-10 19:08:52.200743 : Epoch  1, Batch   2430, Loss  0.872232, Average Loss  0.870702, Time  0.170139
2021-09-10 19:08:53.797872 : Epoch  1, Batch   2431, Loss  0.863172, Average Loss  0.870520, Time  0.169774
2021-09-10 19:08:55.404991 : Epoch  1, Batch   2432, Loss  0.872990, Average Loss  0.870464, Time  0.169600
2021-09-10 19:08:56.992477 : Epoch  1, Batch   2433, Loss  0.859329, Average Loss  0.870332, Time  0.169855
2021-09-10 19:08:58.581988 : Epoch  1, Batch   2434, Loss  0.858611, Average Loss  0.870278, Time  0.169826
2021-09-10 19:09:00.173924 : Epoch  1, Batch   2435, Loss  0.852219, Average Loss  0.870280, Time  0.169684
2021-09-10 19:09:01.774835 : Epoch  1, Batch   2436, Loss  0.866848, Average Loss  0.870248, Time  0.169789
2021-09-10 19:09:03.386992 : Epoch  1, Batch   2437, Loss  0.859859, Average Loss  0.870311, Time  0.169974
2021-09-10 19:09:05.035993 : Epoch  1, Batch   2438, Loss  0.860897, Average Loss  0.870153, Time  0.169713
2021-09-10 19:09:06.640734 : Epoch  1, Batch   2439, Loss  0.862189, Average Loss  0.870131, Time  0.170589
2021-09-10 19:09:08.232720 : Epoch  1, Batch   2440, Loss  0.864690, Average Loss  0.870105, Time  0.170805
2021-09-10 19:09:09.848740 : Epoch  1, Batch   2441, Loss  0.868576, Average Loss  0.870218, Time  0.173093
2021-09-10 19:09:11.448732 : Epoch  1, Batch   2442, Loss  0.861684, Average Loss  0.870010, Time  0.176373
2021-09-10 19:09:13.073747 : Epoch  1, Batch   2443, Loss  0.870576, Average Loss  0.870081, Time  0.170139
2021-09-10 19:09:14.674981 : Epoch  1, Batch   2444, Loss  0.888847, Average Loss  0.870223, Time  0.170105
2021-09-10 19:09:16.284861 : Epoch  1, Batch   2445, Loss  0.871719, Average Loss  0.870302, Time  0.171438
2021-09-10 19:09:17.893998 : Epoch  1, Batch   2446, Loss  0.876057, Average Loss  0.870275, Time  0.169842
2021-09-10 19:09:19.504809 : Epoch  1, Batch   2447, Loss  0.854982, Average Loss  0.870263, Time  0.176736
2021-09-10 19:09:21.116073 : Epoch  1, Batch   2448, Loss  0.878545, Average Loss  0.870218, Time  0.170444
2021-09-10 19:09:22.725912 : Epoch  1, Batch   2449, Loss  0.831823, Average Loss  0.869828, Time  0.184292
2021-09-10 19:09:24.321837 : Epoch  1, Batch   2450, Loss  0.861180, Average Loss  0.869753, Time  0.169689
2021-09-10 19:09:25.932795 : Epoch  1, Batch   2451, Loss  0.906934, Average Loss  0.870074, Time  0.169946
2021-09-10 19:09:27.538797 : Epoch  1, Batch   2452, Loss  0.854366, Average Loss  0.870049, Time  0.169521
2021-09-10 19:09:29.147763 : Epoch  1, Batch   2453, Loss  0.857363, Average Loss  0.870148, Time  0.169245
2021-09-10 19:09:30.775846 : Epoch  1, Batch   2454, Loss  0.901016, Average Loss  0.870498, Time  0.169956
2021-09-10 19:09:32.389754 : Epoch  1, Batch   2455, Loss  0.906497, Average Loss  0.870636, Time  0.169844
2021-09-10 19:09:33.998845 : Epoch  1, Batch   2456, Loss  0.867582, Average Loss  0.870550, Time  0.175313
2021-09-10 19:09:35.584793 : Epoch  1, Batch   2457, Loss  0.871090, Average Loss  0.870591, Time  0.173435
2021-09-10 19:09:37.167038 : Epoch  1, Batch   2458, Loss  0.847083, Average Loss  0.870417, Time  0.170033
2021-09-10 19:09:38.760856 : Epoch  1, Batch   2459, Loss  0.883475, Average Loss  0.870446, Time  0.169575
2021-09-10 19:09:40.364979 : Epoch  1, Batch   2460, Loss  0.862953, Average Loss  0.870418, Time  0.169838
2021-09-10 19:09:41.978787 : Epoch  1, Batch   2461, Loss  0.859992, Average Loss  0.870426, Time  0.170028
2021-09-10 19:09:43.615779 : Epoch  1, Batch   2462, Loss  0.875402, Average Loss  0.870493, Time  0.169968
2021-09-10 19:09:45.235996 : Epoch  1, Batch   2463, Loss  0.882706, Average Loss  0.870558, Time  0.169788
2021-09-10 19:09:46.843754 : Epoch  1, Batch   2464, Loss  0.874183, Average Loss  0.870547, Time  0.169789
2021-09-10 19:09:48.461027 : Epoch  1, Batch   2465, Loss  0.890571, Average Loss  0.870898, Time  0.171651
2021-09-10 19:09:50.066779 : Epoch  1, Batch   2466, Loss  0.873764, Average Loss  0.870834, Time  0.172258
2021-09-10 19:09:51.659021 : Epoch  1, Batch   2467, Loss  0.892663, Average Loss  0.870805, Time  0.169483
2021-09-10 19:09:53.240838 : Epoch  1, Batch   2468, Loss  0.856193, Average Loss  0.870914, Time  0.176431
2021-09-10 19:09:54.827783 : Epoch  1, Batch   2469, Loss  0.886164, Average Loss  0.871008, Time  0.169804
2021-09-10 19:09:56.434769 : Epoch  1, Batch   2470, Loss  0.857492, Average Loss  0.870973, Time  0.169558
2021-09-10 19:09:58.051989 : Epoch  1, Batch   2471, Loss  0.872341, Average Loss  0.870959, Time  0.169676
2021-09-10 19:09:59.642053 : Epoch  1, Batch   2472, Loss  0.869616, Average Loss  0.870916, Time  0.169549
2021-09-10 19:10:01.237742 : Epoch  1, Batch   2473, Loss  0.882627, Average Loss  0.870944, Time  0.170373
2021-09-10 19:10:02.831988 : Epoch  1, Batch   2474, Loss  0.875836, Average Loss  0.871094, Time  0.169598
2021-09-10 19:10:04.421995 : Epoch  1, Batch   2475, Loss  0.864174, Average Loss  0.871140, Time  0.169966
2021-09-10 19:10:06.051755 : Epoch  1, Batch   2476, Loss  0.882759, Average Loss  0.871165, Time  0.170526
2021-09-10 19:10:07.662858 : Epoch  1, Batch   2477, Loss  0.873191, Average Loss  0.871039, Time  0.169773
2021-09-10 19:10:09.275996 : Epoch  1, Batch   2478, Loss  0.879010, Average Loss  0.870985, Time  0.169658
2021-09-10 19:10:10.891761 : Epoch  1, Batch   2479, Loss  0.871070, Average Loss  0.870996, Time  0.176881
2021-09-10 19:10:12.495797 : Epoch  1, Batch   2480, Loss  0.876069, Average Loss  0.871139, Time  0.170308
2021-09-10 19:10:14.102766 : Epoch  1, Batch   2481, Loss  0.875091, Average Loss  0.871175, Time  0.169983
2021-09-10 19:10:15.699019 : Epoch  1, Batch   2482, Loss  0.906590, Average Loss  0.871365, Time  0.170928
2021-09-10 19:10:17.293936 : Epoch  1, Batch   2483, Loss  0.856020, Average Loss  0.871088, Time  0.172393
2021-09-10 19:10:18.899026 : Epoch  1, Batch   2484, Loss  0.887544, Average Loss  0.871150, Time  0.171534
2021-09-10 19:10:20.495808 : Epoch  1, Batch   2485, Loss  0.841867, Average Loss  0.871087, Time  0.172715
2021-09-10 19:10:22.093773 : Epoch  1, Batch   2486, Loss  0.852817, Average Loss  0.871055, Time  0.170860
2021-09-10 19:10:23.687911 : Epoch  1, Batch   2487, Loss  0.864384, Average Loss  0.871010, Time  0.170398
2021-09-10 19:10:25.289013 : Epoch  1, Batch   2488, Loss  0.854618, Average Loss  0.870832, Time  0.170305
2021-09-10 19:10:26.911855 : Epoch  1, Batch   2489, Loss  0.897138, Average Loss  0.870840, Time  0.169739
2021-09-10 19:10:28.515757 : Epoch  1, Batch   2490, Loss  0.871865, Average Loss  0.870736, Time  0.169764
2021-09-10 19:10:30.111017 : Epoch  1, Batch   2491, Loss  0.877419, Average Loss  0.870877, Time  0.170116
2021-09-10 19:10:31.731793 : Epoch  1, Batch   2492, Loss  0.875924, Average Loss  0.870847, Time  0.172935
2021-09-10 19:10:33.314930 : Epoch  1, Batch   2493, Loss  0.859442, Average Loss  0.870735, Time  0.172785
2021-09-10 19:10:34.899798 : Epoch  1, Batch   2494, Loss  0.888084, Average Loss  0.870900, Time  0.169890
2021-09-10 19:10:36.518738 : Epoch  1, Batch   2495, Loss  0.867747, Average Loss  0.870908, Time  0.169585
2021-09-10 19:10:38.131771 : Epoch  1, Batch   2496, Loss  0.895505, Average Loss  0.870952, Time  0.169829
2021-09-10 19:10:39.752754 : Epoch  1, Batch   2497, Loss  0.847356, Average Loss  0.870890, Time  0.172008
2021-09-10 19:10:41.361817 : Epoch  1, Batch   2498, Loss  0.892693, Average Loss  0.871004, Time  0.169782
2021-09-10 19:10:42.969777 : Epoch  1, Batch   2499, Loss  0.869300, Average Loss  0.871116, Time  0.169668
2021-09-10 19:10:44.578877 : Epoch  1, Batch   2500, Loss  0.885088, Average Loss  0.871245, Time  0.170749
2021-09-10 19:15:25.630223 : CheckPoint: Validation Loss  0.00059518, Best Loss  0.00058919
2021-09-10 19:15:27.235805 : Epoch  1, Batch   2501, Loss  0.853074, Average Loss  0.871075, Time  0.179035
2021-09-10 19:15:28.828955 : Epoch  1, Batch   2502, Loss  0.867140, Average Loss  0.870978, Time  0.170311
2021-09-10 19:15:30.439975 : Epoch  1, Batch   2503, Loss  0.866001, Average Loss  0.871003, Time  0.170024
2021-09-10 19:15:32.065972 : Epoch  1, Batch   2504, Loss  0.851363, Average Loss  0.870845, Time  0.169989
2021-09-10 19:15:33.677984 : Epoch  1, Batch   2505, Loss  0.846591, Average Loss  0.870779, Time  0.169637
2021-09-10 19:15:35.291980 : Epoch  1, Batch   2506, Loss  0.876536, Average Loss  0.870725, Time  0.169756
2021-09-10 19:15:36.898980 : Epoch  1, Batch   2507, Loss  0.889105, Average Loss  0.870656, Time  0.169637
2021-09-10 19:15:38.509977 : Epoch  1, Batch   2508, Loss  0.872125, Average Loss  0.870726, Time  0.169717
2021-09-10 19:15:40.121742 : Epoch  1, Batch   2509, Loss  0.876354, Average Loss  0.870890, Time  0.169549
2021-09-10 19:15:41.720920 : Epoch  1, Batch   2510, Loss  0.893754, Average Loss  0.871053, Time  0.170240
2021-09-10 19:15:43.329730 : Epoch  1, Batch   2511, Loss  0.883653, Average Loss  0.871152, Time  0.178963
2021-09-10 19:15:44.920826 : Epoch  1, Batch   2512, Loss  0.856454, Average Loss  0.871028, Time  0.170846
2021-09-10 19:15:46.487767 : Epoch  1, Batch   2513, Loss  0.866342, Average Loss  0.870956, Time  0.173967
2021-09-10 19:15:48.065077 : Epoch  1, Batch   2514, Loss  0.885103, Average Loss  0.870970, Time  0.174379
2021-09-10 19:15:49.688027 : Epoch  1, Batch   2515, Loss  0.870134, Average Loss  0.871037, Time  0.170437
2021-09-10 19:15:51.301729 : Epoch  1, Batch   2516, Loss  0.860788, Average Loss  0.870964, Time  0.174095
2021-09-10 19:15:52.924746 : Epoch  1, Batch   2517, Loss  0.865207, Average Loss  0.870800, Time  0.174553
2021-09-10 19:15:54.505085 : Epoch  1, Batch   2518, Loss  0.879587, Average Loss  0.870877, Time  0.170490
2021-09-10 19:15:56.127157 : Epoch  1, Batch   2519, Loss  0.861220, Average Loss  0.870730, Time  0.174580
2021-09-10 19:15:57.709999 : Epoch  1, Batch   2520, Loss  0.892600, Average Loss  0.870641, Time  0.169800
2021-09-10 19:15:59.315882 : Epoch  1, Batch   2521, Loss  0.903809, Average Loss  0.870957, Time  0.169852
2021-09-10 19:16:00.900245 : Epoch  1, Batch   2522, Loss  0.856296, Average Loss  0.870906, Time  0.170006
2021-09-10 19:16:02.486739 : Epoch  1, Batch   2523, Loss  0.836031, Average Loss  0.870626, Time  0.170462
2021-09-10 19:16:04.076764 : Epoch  1, Batch   2524, Loss  0.863556, Average Loss  0.870701, Time  0.172942
2021-09-10 19:16:05.649734 : Epoch  1, Batch   2525, Loss  0.893481, Average Loss  0.870850, Time  0.169782
2021-09-10 19:16:07.260779 : Epoch  1, Batch   2526, Loss  0.870819, Average Loss  0.870718, Time  0.169720
2021-09-10 19:16:08.860999 : Epoch  1, Batch   2527, Loss  0.851193, Average Loss  0.870696, Time  0.169723
2021-09-10 19:16:10.474916 : Epoch  1, Batch   2528, Loss  0.873781, Average Loss  0.870718, Time  0.169957
2021-09-10 19:16:12.077791 : Epoch  1, Batch   2529, Loss  0.841745, Average Loss  0.870641, Time  0.169386
2021-09-10 19:16:13.688737 : Epoch  1, Batch   2530, Loss  0.852366, Average Loss  0.870500, Time  0.169771
2021-09-10 19:16:15.297991 : Epoch  1, Batch   2531, Loss  0.883137, Average Loss  0.870715, Time  0.169580
2021-09-10 19:16:16.909743 : Epoch  1, Batch   2532, Loss  0.880703, Average Loss  0.870617, Time  0.170104
2021-09-10 19:16:18.513981 : Epoch  1, Batch   2533, Loss  0.869863, Average Loss  0.870600, Time  0.169498
2021-09-10 19:16:20.112742 : Epoch  1, Batch   2534, Loss  0.898537, Average Loss  0.870573, Time  0.169850
2021-09-10 19:16:21.677984 : Epoch  1, Batch   2535, Loss  0.868459, Average Loss  0.870598, Time  0.169413
2021-09-10 19:16:23.287855 : Epoch  1, Batch   2536, Loss  0.889055, Average Loss  0.870659, Time  0.169639
2021-09-10 19:16:24.868923 : Epoch  1, Batch   2537, Loss  0.907337, Average Loss  0.871044, Time  0.169994
2021-09-10 19:16:26.478022 : Epoch  1, Batch   2538, Loss  0.856354, Average Loss  0.871034, Time  0.170903
2021-09-10 19:16:28.033852 : Epoch  1, Batch   2539, Loss  0.853748, Average Loss  0.871046, Time  0.170569
2021-09-10 19:16:29.622024 : Epoch  1, Batch   2540, Loss  0.853206, Average Loss  0.870917, Time  0.173655
2021-09-10 19:16:31.197805 : Epoch  1, Batch   2541, Loss  0.857538, Average Loss  0.870905, Time  0.170753
2021-09-10 19:16:32.791743 : Epoch  1, Batch   2542, Loss  0.850077, Average Loss  0.870673, Time  0.173877
2021-09-10 19:16:34.398930 : Epoch  1, Batch   2543, Loss  0.811222, Average Loss  0.870455, Time  0.173038
2021-09-10 19:16:36.006789 : Epoch  1, Batch   2544, Loss  0.874112, Average Loss  0.870469, Time  0.176852
2021-09-10 19:16:37.601824 : Epoch  1, Batch   2545, Loss  0.884258, Average Loss  0.870566, Time  0.170286
2021-09-10 19:16:39.201028 : Epoch  1, Batch   2546, Loss  0.873349, Average Loss  0.870658, Time  0.172025
2021-09-10 19:16:40.791024 : Epoch  1, Batch   2547, Loss  0.861318, Average Loss  0.870610, Time  0.172221
2021-09-10 19:16:42.370767 : Epoch  1, Batch   2548, Loss  0.895117, Average Loss  0.870753, Time  0.170805
2021-09-10 19:16:43.968061 : Epoch  1, Batch   2549, Loss  0.885066, Average Loss  0.870774, Time  0.171480
2021-09-10 19:16:45.551817 : Epoch  1, Batch   2550, Loss  0.880945, Average Loss  0.870922, Time  0.170357
2021-09-10 19:16:47.137878 : Epoch  1, Batch   2551, Loss  0.904002, Average Loss  0.871020, Time  0.174042
2021-09-10 19:16:48.733773 : Epoch  1, Batch   2552, Loss  0.881246, Average Loss  0.871003, Time  0.174456
2021-09-10 19:16:50.340742 : Epoch  1, Batch   2553, Loss  0.861712, Average Loss  0.870897, Time  0.180269
2021-09-10 19:16:51.925785 : Epoch  1, Batch   2554, Loss  0.900251, Average Loss  0.871043, Time  0.170681
2021-09-10 19:16:53.509215 : Epoch  1, Batch   2555, Loss  0.869487, Average Loss  0.871088, Time  0.170477
2021-09-10 19:16:55.084016 : Epoch  1, Batch   2556, Loss  0.871870, Average Loss  0.871142, Time  0.171802
2021-09-10 19:16:56.655787 : Epoch  1, Batch   2557, Loss  0.878953, Average Loss  0.871205, Time  0.172598
2021-09-10 19:16:58.225817 : Epoch  1, Batch   2558, Loss  0.869081, Average Loss  0.871130, Time  0.175097
2021-09-10 19:16:59.819902 : Epoch  1, Batch   2559, Loss  0.874673, Average Loss  0.871290, Time  0.170655
2021-09-10 19:17:01.418772 : Epoch  1, Batch   2560, Loss  0.821806, Average Loss  0.871055, Time  0.170806
2021-09-10 19:17:03.013839 : Epoch  1, Batch   2561, Loss  0.861877, Average Loss  0.870891, Time  0.170021
2021-09-10 19:17:04.613932 : Epoch  1, Batch   2562, Loss  0.883252, Average Loss  0.870903, Time  0.170234
2021-09-10 19:17:06.205868 : Epoch  1, Batch   2563, Loss  0.865274, Average Loss  0.870898, Time  0.171029
2021-09-10 19:17:07.780044 : Epoch  1, Batch   2564, Loss  0.868161, Average Loss  0.870903, Time  0.177317
2021-09-10 19:17:09.357046 : Epoch  1, Batch   2565, Loss  0.896684, Average Loss  0.870981, Time  0.173895
2021-09-10 19:17:10.937817 : Epoch  1, Batch   2566, Loss  0.870155, Average Loss  0.870996, Time  0.171031
2021-09-10 19:17:12.537055 : Epoch  1, Batch   2567, Loss  0.855002, Average Loss  0.870903, Time  0.173049
2021-09-10 19:17:14.144839 : Epoch  1, Batch   2568, Loss  0.880787, Average Loss  0.870987, Time  0.170370
2021-09-10 19:17:15.737325 : Epoch  1, Batch   2569, Loss  0.881941, Average Loss  0.870980, Time  0.175254
2021-09-10 19:17:17.346751 : Epoch  1, Batch   2570, Loss  0.857174, Average Loss  0.870905, Time  0.172953
2021-09-10 19:17:18.947037 : Epoch  1, Batch   2571, Loss  0.872322, Average Loss  0.870861, Time  0.173424
2021-09-10 19:17:20.553746 : Epoch  1, Batch   2572, Loss  0.846080, Average Loss  0.870728, Time  0.173923
2021-09-10 19:17:22.149741 : Epoch  1, Batch   2573, Loss  0.897778, Average Loss  0.870753, Time  0.175824
2021-09-10 19:17:23.755023 : Epoch  1, Batch   2574, Loss  0.881422, Average Loss  0.870891, Time  0.192946
2021-09-10 19:17:25.329736 : Epoch  1, Batch   2575, Loss  0.854232, Average Loss  0.870652, Time  0.171120
2021-09-10 19:17:26.986731 : Epoch  1, Batch   2576, Loss  0.898696, Average Loss  0.870729, Time  0.170817
2021-09-10 19:17:28.585781 : Epoch  1, Batch   2577, Loss  0.879067, Average Loss  0.870876, Time  0.178088
2021-09-10 19:17:30.165036 : Epoch  1, Batch   2578, Loss  0.869066, Average Loss  0.870913, Time  0.179659
2021-09-10 19:17:31.729989 : Epoch  1, Batch   2579, Loss  0.842973, Average Loss  0.870849, Time  0.169527
2021-09-10 19:17:33.307733 : Epoch  1, Batch   2580, Loss  0.885732, Average Loss  0.871003, Time  0.173953
2021-09-10 19:17:34.885775 : Epoch  1, Batch   2581, Loss  0.870595, Average Loss  0.871063, Time  0.170228
2021-09-10 19:17:36.480734 : Epoch  1, Batch   2582, Loss  0.871290, Average Loss  0.870917, Time  0.177070
2021-09-10 19:17:38.042802 : Epoch  1, Batch   2583, Loss  0.895080, Average Loss  0.871040, Time  0.174781
2021-09-10 19:17:39.625753 : Epoch  1, Batch   2584, Loss  0.890879, Average Loss  0.871201, Time  0.172205
2021-09-10 19:17:41.221029 : Epoch  1, Batch   2585, Loss  0.898544, Average Loss  0.871264, Time  0.179502
2021-09-10 19:17:42.807738 : Epoch  1, Batch   2586, Loss  0.899759, Average Loss  0.871514, Time  0.173432
2021-09-10 19:17:44.402807 : Epoch  1, Batch   2587, Loss  0.884356, Average Loss  0.871441, Time  0.174308
2021-09-10 19:17:46.022032 : Epoch  1, Batch   2588, Loss  0.855292, Average Loss  0.871295, Time  0.170126
2021-09-10 19:17:47.617750 : Epoch  1, Batch   2589, Loss  0.887799, Average Loss  0.871520, Time  0.171650
2021-09-10 19:17:49.198777 : Epoch  1, Batch   2590, Loss  0.830418, Average Loss  0.871388, Time  0.173624
2021-09-10 19:17:50.755791 : Epoch  1, Batch   2591, Loss  0.856951, Average Loss  0.871388, Time  0.170093
2021-09-10 19:17:52.340033 : Epoch  1, Batch   2592, Loss  0.848964, Average Loss  0.871415, Time  0.170130
2021-09-10 19:17:53.969747 : Epoch  1, Batch   2593, Loss  0.875526, Average Loss  0.871548, Time  0.176562
2021-09-10 19:17:55.574020 : Epoch  1, Batch   2594, Loss  0.869373, Average Loss  0.871713, Time  0.170312
2021-09-10 19:17:57.140708 : Epoch  1, Batch   2595, Loss  0.856446, Average Loss  0.871780, Time  0.175368
2021-09-10 19:17:58.706025 : Epoch  1, Batch   2596, Loss  0.878991, Average Loss  0.871934, Time  0.169977
2021-09-10 19:18:00.309782 : Epoch  1, Batch   2597, Loss  0.898411, Average Loss  0.872016, Time  0.174579
2021-09-10 19:18:01.928028 : Epoch  1, Batch   2598, Loss  0.874777, Average Loss  0.871998, Time  0.174164
2021-09-10 19:18:03.538779 : Epoch  1, Batch   2599, Loss  0.882120, Average Loss  0.872135, Time  0.170363
2021-09-10 19:18:05.119783 : Epoch  1, Batch   2600, Loss  0.849817, Average Loss  0.871939, Time  0.170290
2021-09-10 19:22:45.585598 : CheckPoint: Validation Loss  0.00060287, Best Loss  0.00058919
2021-09-10 19:22:47.187789 : Epoch  1, Batch   2601, Loss  0.887477, Average Loss  0.872027, Time  0.180149
2021-09-10 19:22:48.759722 : Epoch  1, Batch   2602, Loss  0.861615, Average Loss  0.871985, Time  0.175502
2021-09-10 19:22:50.330771 : Epoch  1, Batch   2603, Loss  0.860425, Average Loss  0.871968, Time  0.170784
2021-09-10 19:22:51.914030 : Epoch  1, Batch   2604, Loss  0.910531, Average Loss  0.872114, Time  0.171390
2021-09-10 19:22:53.496737 : Epoch  1, Batch   2605, Loss  0.861727, Average Loss  0.872069, Time  0.169865
2021-09-10 19:22:55.118026 : Epoch  1, Batch   2606, Loss  0.884542, Average Loss  0.872147, Time  0.179134
2021-09-10 19:22:56.707756 : Epoch  1, Batch   2607, Loss  0.824395, Average Loss  0.871881, Time  0.172341
2021-09-10 19:22:58.296991 : Epoch  1, Batch   2608, Loss  0.868608, Average Loss  0.871676, Time  0.169984
2021-09-10 19:22:59.877861 : Epoch  1, Batch   2609, Loss  0.885050, Average Loss  0.871746, Time  0.178083
2021-09-10 19:23:01.464827 : Epoch  1, Batch   2610, Loss  0.869313, Average Loss  0.871685, Time  0.171126
2021-09-10 19:23:03.041030 : Epoch  1, Batch   2611, Loss  0.868461, Average Loss  0.871559, Time  0.173404
2021-09-10 19:23:04.600811 : Epoch  1, Batch   2612, Loss  0.890597, Average Loss  0.871520, Time  0.172505
2021-09-10 19:23:06.179746 : Epoch  1, Batch   2613, Loss  0.874394, Average Loss  0.871358, Time  0.170950
2021-09-10 19:23:07.767741 : Epoch  1, Batch   2614, Loss  0.852394, Average Loss  0.871184, Time  0.174214
2021-09-10 19:23:09.360812 : Epoch  1, Batch   2615, Loss  0.854823, Average Loss  0.871299, Time  0.170005
2021-09-10 19:23:10.977034 : Epoch  1, Batch   2616, Loss  0.873121, Average Loss  0.871258, Time  0.188526
2021-09-10 19:23:12.564786 : Epoch  1, Batch   2617, Loss  0.870917, Average Loss  0.871269, Time  0.170146
2021-09-10 19:23:14.154765 : Epoch  1, Batch   2618, Loss  0.878578, Average Loss  0.871211, Time  0.176992
2021-09-10 19:23:15.742406 : Epoch  1, Batch   2619, Loss  0.847809, Average Loss  0.871254, Time  0.171003
2021-09-10 19:23:17.307751 : Epoch  1, Batch   2620, Loss  0.847548, Average Loss  0.871213, Time  0.170349
2021-09-10 19:23:18.895756 : Epoch  1, Batch   2621, Loss  0.875389, Average Loss  0.871234, Time  0.172112
2021-09-10 19:23:20.473023 : Epoch  1, Batch   2622, Loss  0.880748, Average Loss  0.871382, Time  0.175860
2021-09-10 19:23:22.050813 : Epoch  1, Batch   2623, Loss  0.863015, Average Loss  0.871349, Time  0.170173
2021-09-10 19:23:23.624936 : Epoch  1, Batch   2624, Loss  0.867673, Average Loss  0.871420, Time  0.174147
2021-09-10 19:23:25.218746 : Epoch  1, Batch   2625, Loss  0.861623, Average Loss  0.871319, Time  0.177635
2021-09-10 19:23:26.797750 : Epoch  1, Batch   2626, Loss  0.885736, Average Loss  0.871159, Time  0.169791
2021-09-10 19:23:28.407803 : Epoch  1, Batch   2627, Loss  0.914066, Average Loss  0.871468, Time  0.169725
2021-09-10 19:23:30.016766 : Epoch  1, Batch   2628, Loss  0.865095, Average Loss  0.871389, Time  0.169907
2021-09-10 19:23:31.625773 : Epoch  1, Batch   2629, Loss  0.865600, Average Loss  0.871374, Time  0.171390
2021-09-10 19:23:33.227776 : Epoch  1, Batch   2630, Loss  0.861176, Average Loss  0.871318, Time  0.175849
2021-09-10 19:23:34.822870 : Epoch  1, Batch   2631, Loss  0.868058, Average Loss  0.871343, Time  0.172826
2021-09-10 19:23:36.456734 : Epoch  1, Batch   2632, Loss  0.843729, Average Loss  0.871196, Time  0.170454
2021-09-10 19:23:38.050062 : Epoch  1, Batch   2633, Loss  0.868282, Average Loss  0.871241, Time  0.171026
2021-09-10 19:23:39.638857 : Epoch  1, Batch   2634, Loss  0.881701, Average Loss  0.871357, Time  0.176335
2021-09-10 19:23:41.212847 : Epoch  1, Batch   2635, Loss  0.888531, Average Loss  0.871538, Time  0.172751
2021-09-10 19:23:42.803865 : Epoch  1, Batch   2636, Loss  0.881621, Average Loss  0.871612, Time  0.181743
2021-09-10 19:23:44.402748 : Epoch  1, Batch   2637, Loss  0.870116, Average Loss  0.871663, Time  0.181888
2021-09-10 19:23:46.033786 : Epoch  1, Batch   2638, Loss  0.879439, Average Loss  0.871756, Time  0.174230
2021-09-10 19:23:47.641757 : Epoch  1, Batch   2639, Loss  0.863007, Average Loss  0.871760, Time  0.173291
2021-09-10 19:23:49.242744 : Epoch  1, Batch   2640, Loss  0.907860, Average Loss  0.871976, Time  0.178427
2021-09-10 19:23:50.810800 : Epoch  1, Batch   2641, Loss  0.880379, Average Loss  0.872035, Time  0.170050
2021-09-10 19:23:52.406743 : Epoch  1, Batch   2642, Loss  0.870671, Average Loss  0.872080, Time  0.170709
2021-09-10 19:23:54.007846 : Epoch  1, Batch   2643, Loss  0.856233, Average Loss  0.872008, Time  0.174366
2021-09-10 19:23:55.602863 : Epoch  1, Batch   2644, Loss  0.873636, Average Loss  0.871932, Time  0.173220
2021-09-10 19:23:57.172757 : Epoch  1, Batch   2645, Loss  0.872514, Average Loss  0.871936, Time  0.173972
2021-09-10 19:23:58.750781 : Epoch  1, Batch   2646, Loss  0.884836, Average Loss  0.871980, Time  0.170022
2021-09-10 19:24:00.319739 : Epoch  1, Batch   2647, Loss  0.873684, Average Loss  0.872074, Time  0.175341
2021-09-10 19:24:01.899756 : Epoch  1, Batch   2648, Loss  0.870926, Average Loss  0.872035, Time  0.170241
2021-09-10 19:24:03.485357 : Epoch  1, Batch   2649, Loss  0.884217, Average Loss  0.872297, Time  0.172090
2021-09-10 19:24:05.055950 : Epoch  1, Batch   2650, Loss  0.889595, Average Loss  0.872440, Time  0.178265
2021-09-10 19:24:06.618023 : Epoch  1, Batch   2651, Loss  0.862338, Average Loss  0.872217, Time  0.173146
2021-09-10 19:24:08.204939 : Epoch  1, Batch   2652, Loss  0.853445, Average Loss  0.872212, Time  0.176607
2021-09-10 19:24:09.778829 : Epoch  1, Batch   2653, Loss  0.880093, Average Loss  0.872326, Time  0.170442
2021-09-10 19:24:11.387736 : Epoch  1, Batch   2654, Loss  0.859020, Average Loss  0.872116, Time  0.178217
2021-09-10 19:24:12.992789 : Epoch  1, Batch   2655, Loss  0.898107, Average Loss  0.872074, Time  0.169909
2021-09-10 19:24:14.565746 : Epoch  1, Batch   2656, Loss  0.856648, Average Loss  0.872019, Time  0.170268
2021-09-10 19:24:16.160738 : Epoch  1, Batch   2657, Loss  0.869583, Average Loss  0.872011, Time  0.174060
2021-09-10 19:24:17.746739 : Epoch  1, Batch   2658, Loss  0.857545, Average Loss  0.872064, Time  0.176555
2021-09-10 19:24:19.321014 : Epoch  1, Batch   2659, Loss  0.891379, Average Loss  0.872103, Time  0.170779
2021-09-10 19:24:20.892811 : Epoch  1, Batch   2660, Loss  0.890990, Average Loss  0.872243, Time  0.175015
2021-09-10 19:24:22.481942 : Epoch  1, Batch   2661, Loss  0.866652, Average Loss  0.872277, Time  0.173468
2021-09-10 19:24:24.073745 : Epoch  1, Batch   2662, Loss  0.846703, Average Loss  0.872133, Time  0.176544
2021-09-10 19:24:25.675931 : Epoch  1, Batch   2663, Loss  0.865043, Average Loss  0.872045, Time  0.174145
2021-09-10 19:24:27.248952 : Epoch  1, Batch   2664, Loss  0.908555, Average Loss  0.872217, Time  0.173173
2021-09-10 19:24:28.828831 : Epoch  1, Batch   2665, Loss  0.865827, Average Loss  0.872093, Time  0.170158
2021-09-10 19:24:30.422802 : Epoch  1, Batch   2666, Loss  0.868550, Average Loss  0.872067, Time  0.169922
2021-09-10 19:24:32.021741 : Epoch  1, Batch   2667, Loss  0.850076, Average Loss  0.871854, Time  0.170665
2021-09-10 19:24:33.644776 : Epoch  1, Batch   2668, Loss  0.877088, Average Loss  0.871959, Time  0.190994
2021-09-10 19:24:35.227742 : Epoch  1, Batch   2669, Loss  0.849413, Average Loss  0.871775, Time  0.170248
2021-09-10 19:24:36.799020 : Epoch  1, Batch   2670, Loss  0.876811, Average Loss  0.871871, Time  0.173733
2021-09-10 19:24:38.391764 : Epoch  1, Batch   2671, Loss  0.864122, Average Loss  0.871830, Time  0.178366
2021-09-10 19:24:39.993949 : Epoch  1, Batch   2672, Loss  0.865725, Average Loss  0.871811, Time  0.173686
2021-09-10 19:24:41.568751 : Epoch  1, Batch   2673, Loss  0.861485, Average Loss  0.871705, Time  0.169980
2021-09-10 19:24:43.145026 : Epoch  1, Batch   2674, Loss  0.878676, Average Loss  0.871719, Time  0.174777
2021-09-10 19:24:44.735795 : Epoch  1, Batch   2675, Loss  0.886290, Average Loss  0.871830, Time  0.170377
2021-09-10 19:24:46.374762 : Epoch  1, Batch   2676, Loss  0.859772, Average Loss  0.871715, Time  0.170790
2021-09-10 19:24:47.949033 : Epoch  1, Batch   2677, Loss  0.846541, Average Loss  0.871582, Time  0.170118
2021-09-10 19:24:49.509749 : Epoch  1, Batch   2678, Loss  0.875582, Average Loss  0.871565, Time  0.169917
2021-09-10 19:24:51.084605 : Epoch  1, Batch   2679, Loss  0.857105, Average Loss  0.871495, Time  0.170102
2021-09-10 19:24:52.676013 : Epoch  1, Batch   2680, Loss  0.851936, Average Loss  0.871374, Time  0.173456
2021-09-10 19:24:54.269770 : Epoch  1, Batch   2681, Loss  0.930668, Average Loss  0.871652, Time  0.173297
2021-09-10 19:24:55.840036 : Epoch  1, Batch   2682, Loss  0.863105, Average Loss  0.871435, Time  0.176249
2021-09-10 19:24:57.414828 : Epoch  1, Batch   2683, Loss  0.868389, Average Loss  0.871496, Time  0.173563
2021-09-10 19:24:59.027578 : Epoch  1, Batch   2684, Loss  0.849028, Average Loss  0.871304, Time  0.170715
2021-09-10 19:25:00.600773 : Epoch  1, Batch   2685, Loss  0.902822, Average Loss  0.871609, Time  0.173327
2021-09-10 19:25:02.195738 : Epoch  1, Batch   2686, Loss  0.893092, Average Loss  0.871810, Time  0.176791
2021-09-10 19:25:03.789771 : Epoch  1, Batch   2687, Loss  0.865273, Average Loss  0.871814, Time  0.186430
2021-09-10 19:25:05.377827 : Epoch  1, Batch   2688, Loss  0.844580, Average Loss  0.871764, Time  0.170258
2021-09-10 19:25:06.981034 : Epoch  1, Batch   2689, Loss  0.843689, Average Loss  0.871497, Time  0.172491
2021-09-10 19:25:08.562754 : Epoch  1, Batch   2690, Loss  0.868690, Average Loss  0.871481, Time  0.171211
2021-09-10 19:25:10.150851 : Epoch  1, Batch   2691, Loss  0.861204, Average Loss  0.871400, Time  0.170537
2021-09-10 19:25:11.724966 : Epoch  1, Batch   2692, Loss  0.877980, Average Loss  0.871410, Time  0.170753
2021-09-10 19:25:13.298925 : Epoch  1, Batch   2693, Loss  0.887907, Average Loss  0.871553, Time  0.169921
2021-09-10 19:25:14.887838 : Epoch  1, Batch   2694, Loss  0.850520, Average Loss  0.871365, Time  0.176230
2021-09-10 19:25:16.469743 : Epoch  1, Batch   2695, Loss  0.904396, Average Loss  0.871548, Time  0.180254
2021-09-10 19:25:18.055803 : Epoch  1, Batch   2696, Loss  0.892358, Average Loss  0.871532, Time  0.172923
2021-09-10 19:25:19.635695 : Epoch  1, Batch   2697, Loss  0.888288, Average Loss  0.871737, Time  0.177706
2021-09-10 19:25:21.204837 : Epoch  1, Batch   2698, Loss  0.905589, Average Loss  0.871801, Time  0.170230
2021-09-10 19:25:22.783763 : Epoch  1, Batch   2699, Loss  0.877055, Average Loss  0.871840, Time  0.173951
2021-09-10 19:25:24.380737 : Epoch  1, Batch   2700, Loss  0.863297, Average Loss  0.871731, Time  0.174105
2021-09-10 19:30:04.520717 : CheckPoint: Validation Loss  0.00059559, Best Loss  0.00058919
2021-09-10 19:30:06.128849 : Epoch  1, Batch   2701, Loss  0.866509, Average Loss  0.871798, Time  0.179061
2021-09-10 19:30:07.733741 : Epoch  1, Batch   2702, Loss  0.901619, Average Loss  0.871971, Time  0.171793
2021-09-10 19:30:09.335741 : Epoch  1, Batch   2703, Loss  0.864352, Average Loss  0.871963, Time  0.170127
2021-09-10 19:30:10.931731 : Epoch  1, Batch   2704, Loss  0.889929, Average Loss  0.872155, Time  0.170120
2021-09-10 19:30:12.565814 : Epoch  1, Batch   2705, Loss  0.904116, Average Loss  0.872443, Time  0.170021
2021-09-10 19:30:14.176034 : Epoch  1, Batch   2706, Loss  0.863622, Average Loss  0.872379, Time  0.170587
2021-09-10 19:30:15.781837 : Epoch  1, Batch   2707, Loss  0.863283, Average Loss  0.872249, Time  0.169760
2021-09-10 19:30:17.382726 : Epoch  1, Batch   2708, Loss  0.861569, Average Loss  0.872197, Time  0.179715
2021-09-10 19:30:18.989803 : Epoch  1, Batch   2709, Loss  0.882155, Average Loss  0.872226, Time  0.170456
2021-09-10 19:30:20.573027 : Epoch  1, Batch   2710, Loss  0.879103, Average Loss  0.872152, Time  0.175436
2021-09-10 19:30:22.147855 : Epoch  1, Batch   2711, Loss  0.839908, Average Loss  0.871934, Time  0.181475
2021-09-10 19:30:23.747823 : Epoch  1, Batch   2712, Loss  0.865588, Average Loss  0.871979, Time  0.178515
2021-09-10 19:30:25.319040 : Epoch  1, Batch   2713, Loss  0.875371, Average Loss  0.872024, Time  0.170757
2021-09-10 19:30:26.906024 : Epoch  1, Batch   2714, Loss  0.850642, Average Loss  0.871852, Time  0.173560
2021-09-10 19:30:28.499827 : Epoch  1, Batch   2715, Loss  0.872616, Average Loss  0.871865, Time  0.176626
2021-09-10 19:30:30.077907 : Epoch  1, Batch   2716, Loss  0.860999, Average Loss  0.871866, Time  0.172618
2021-09-10 19:30:31.674025 : Epoch  1, Batch   2717, Loss  0.869002, Average Loss  0.871885, Time  0.170004
2021-09-10 19:30:33.266733 : Epoch  1, Batch   2718, Loss  0.887235, Average Loss  0.871923, Time  0.170686
2021-09-10 19:30:34.863802 : Epoch  1, Batch   2719, Loss  0.874701, Average Loss  0.871990, Time  0.170543
2021-09-10 19:30:36.438016 : Epoch  1, Batch   2720, Loss  0.851549, Average Loss  0.871785, Time  0.173710
2021-09-10 19:30:38.022947 : Epoch  1, Batch   2721, Loss  0.842431, Average Loss  0.871478, Time  0.171798
2021-09-10 19:30:39.618613 : Epoch  1, Batch   2722, Loss  0.872658, Average Loss  0.871560, Time  0.173404
2021-09-10 19:30:41.224375 : Epoch  1, Batch   2723, Loss  0.859882, Average Loss  0.871679, Time  0.171085
2021-09-10 19:30:42.823029 : Epoch  1, Batch   2724, Loss  0.857068, Average Loss  0.871647, Time  0.181453
2021-09-10 19:30:44.408733 : Epoch  1, Batch   2725, Loss  0.870503, Average Loss  0.871532, Time  0.173848
2021-09-10 19:30:46.008849 : Epoch  1, Batch   2726, Loss  0.851554, Average Loss  0.871436, Time  0.177060
2021-09-10 19:30:47.601028 : Epoch  1, Batch   2727, Loss  0.882820, Average Loss  0.871594, Time  0.169970
2021-09-10 19:30:49.181928 : Epoch  1, Batch   2728, Loss  0.860368, Average Loss  0.871527, Time  0.171462
2021-09-10 19:30:50.760799 : Epoch  1, Batch   2729, Loss  0.865165, Average Loss  0.871644, Time  0.171048
2021-09-10 19:30:52.343916 : Epoch  1, Batch   2730, Loss  0.893266, Average Loss  0.871848, Time  0.170363
2021-09-10 19:30:53.953776 : Epoch  1, Batch   2731, Loss  0.877026, Average Loss  0.871818, Time  0.178914
2021-09-10 19:30:55.569031 : Epoch  1, Batch   2732, Loss  0.891349, Average Loss  0.871871, Time  0.180902
2021-09-10 19:30:57.180023 : Epoch  1, Batch   2733, Loss  0.882066, Average Loss  0.871932, Time  0.172995
2021-09-10 19:30:58.754040 : Epoch  1, Batch   2734, Loss  0.884741, Average Loss  0.871863, Time  0.177649
2021-09-10 19:31:00.358744 : Epoch  1, Batch   2735, Loss  0.888228, Average Loss  0.871962, Time  0.183792
2021-09-10 19:31:01.961738 : Epoch  1, Batch   2736, Loss  0.877600, Average Loss  0.871904, Time  0.187681
2021-09-10 19:31:03.520745 : Epoch  1, Batch   2737, Loss  0.876047, Average Loss  0.871748, Time  0.173321
2021-09-10 19:31:05.153020 : Epoch  1, Batch   2738, Loss  0.888913, Average Loss  0.871911, Time  0.170006
2021-09-10 19:31:06.762041 : Epoch  1, Batch   2739, Loss  0.881396, Average Loss  0.872049, Time  0.176834
2021-09-10 19:31:08.361771 : Epoch  1, Batch   2740, Loss  0.839406, Average Loss  0.871980, Time  0.172046
2021-09-10 19:31:09.943550 : Epoch  1, Batch   2741, Loss  0.862872, Average Loss  0.872007, Time  0.172978
2021-09-10 19:31:11.508029 : Epoch  1, Batch   2742, Loss  0.865964, Average Loss  0.872086, Time  0.171468
2021-09-10 19:31:13.100734 : Epoch  1, Batch   2743, Loss  0.859489, Average Loss  0.872328, Time  0.173711
2021-09-10 19:31:14.670032 : Epoch  1, Batch   2744, Loss  0.852452, Average Loss  0.872219, Time  0.170313
2021-09-10 19:31:16.269824 : Epoch  1, Batch   2745, Loss  0.884899, Average Loss  0.872222, Time  0.178535
2021-09-10 19:31:17.861777 : Epoch  1, Batch   2746, Loss  0.886350, Average Loss  0.872287, Time  0.170440
2021-09-10 19:31:19.444750 : Epoch  1, Batch   2747, Loss  0.864887, Average Loss  0.872305, Time  0.169970
2021-09-10 19:31:21.031729 : Epoch  1, Batch   2748, Loss  0.864837, Average Loss  0.872154, Time  0.170657
2021-09-10 19:31:22.606847 : Epoch  1, Batch   2749, Loss  0.908658, Average Loss  0.872272, Time  0.171027
2021-09-10 19:31:24.175757 : Epoch  1, Batch   2750, Loss  0.865489, Average Loss  0.872195, Time  0.169954
2021-09-10 19:31:25.757737 : Epoch  1, Batch   2751, Loss  0.862241, Average Loss  0.871986, Time  0.170394
2021-09-10 19:31:27.335954 : Epoch  1, Batch   2752, Loss  0.849418, Average Loss  0.871827, Time  0.173153
2021-09-10 19:31:28.914954 : Epoch  1, Batch   2753, Loss  0.877658, Average Loss  0.871906, Time  0.175708
2021-09-10 19:31:30.507035 : Epoch  1, Batch   2754, Loss  0.867332, Average Loss  0.871742, Time  0.173862
2021-09-10 19:31:32.110025 : Epoch  1, Batch   2755, Loss  0.865514, Average Loss  0.871722, Time  0.174019
2021-09-10 19:31:33.731031 : Epoch  1, Batch   2756, Loss  0.828249, Average Loss  0.871504, Time  0.177205
2021-09-10 19:31:35.314072 : Epoch  1, Batch   2757, Loss  0.880898, Average Loss  0.871513, Time  0.174701
2021-09-10 19:31:36.889253 : Epoch  1, Batch   2758, Loss  0.882927, Average Loss  0.871583, Time  0.170670
2021-09-10 19:31:38.451830 : Epoch  1, Batch   2759, Loss  0.864473, Average Loss  0.871532, Time  0.173709
2021-09-10 19:31:40.024026 : Epoch  1, Batch   2760, Loss  0.877856, Average Loss  0.871812, Time  0.173757
2021-09-10 19:31:41.604739 : Epoch  1, Batch   2761, Loss  0.865156, Average Loss  0.871828, Time  0.171553
2021-09-10 19:31:43.177814 : Epoch  1, Batch   2762, Loss  0.870299, Average Loss  0.871764, Time  0.169605
2021-09-10 19:31:44.781823 : Epoch  1, Batch   2763, Loss  0.862767, Average Loss  0.871751, Time  0.173048
2021-09-10 19:31:46.393080 : Epoch  1, Batch   2764, Loss  0.898915, Average Loss  0.871905, Time  0.173303
2021-09-10 19:31:47.950736 : Epoch  1, Batch   2765, Loss  0.898614, Average Loss  0.871914, Time  0.174330
2021-09-10 19:31:49.541105 : Epoch  1, Batch   2766, Loss  0.873011, Average Loss  0.871929, Time  0.179257
2021-09-10 19:31:51.110770 : Epoch  1, Batch   2767, Loss  0.885637, Average Loss  0.872082, Time  0.171608
2021-09-10 19:31:52.736780 : Epoch  1, Batch   2768, Loss  0.846050, Average Loss  0.871908, Time  0.170431
2021-09-10 19:31:54.326767 : Epoch  1, Batch   2769, Loss  0.882448, Average Loss  0.871911, Time  0.178964
2021-09-10 19:31:55.898855 : Epoch  1, Batch   2770, Loss  0.871588, Average Loss  0.871983, Time  0.176331
2021-09-10 19:31:57.454791 : Epoch  1, Batch   2771, Loss  0.879993, Average Loss  0.872021, Time  0.170696
2021-09-10 19:31:59.039031 : Epoch  1, Batch   2772, Loss  0.884383, Average Loss  0.872213, Time  0.170185
2021-09-10 19:32:00.635845 : Epoch  1, Batch   2773, Loss  0.874311, Average Loss  0.872095, Time  0.169956
2021-09-10 19:32:02.227913 : Epoch  1, Batch   2774, Loss  0.864982, Average Loss  0.872013, Time  0.171650
2021-09-10 19:32:03.817760 : Epoch  1, Batch   2775, Loss  0.883805, Average Loss  0.872161, Time  0.172628
2021-09-10 19:32:05.444028 : Epoch  1, Batch   2776, Loss  0.855534, Average Loss  0.871945, Time  0.170456
2021-09-10 19:32:07.039027 : Epoch  1, Batch   2777, Loss  0.847333, Average Loss  0.871787, Time  0.179273
2021-09-10 19:32:08.625793 : Epoch  1, Batch   2778, Loss  0.874570, Average Loss  0.871814, Time  0.186969
2021-09-10 19:32:10.190327 : Epoch  1, Batch   2779, Loss  0.898928, Average Loss  0.872094, Time  0.169605
2021-09-10 19:32:11.752746 : Epoch  1, Batch   2780, Loss  0.861848, Average Loss  0.871974, Time  0.173454
2021-09-10 19:32:13.344742 : Epoch  1, Batch   2781, Loss  0.881286, Average Loss  0.872028, Time  0.177978
2021-09-10 19:32:14.931688 : Epoch  1, Batch   2782, Loss  0.877996, Average Loss  0.872061, Time  0.172696
2021-09-10 19:32:16.528821 : Epoch  1, Batch   2783, Loss  0.856077, Average Loss  0.871866, Time  0.172588
2021-09-10 19:32:18.131831 : Epoch  1, Batch   2784, Loss  0.872798, Average Loss  0.871776, Time  0.174980
2021-09-10 19:32:19.697786 : Epoch  1, Batch   2785, Loss  0.873441, Average Loss  0.871651, Time  0.169916
2021-09-10 19:32:21.302802 : Epoch  1, Batch   2786, Loss  0.873896, Average Loss  0.871521, Time  0.176366
2021-09-10 19:32:22.888734 : Epoch  1, Batch   2787, Loss  0.859632, Average Loss  0.871398, Time  0.172425
2021-09-10 19:32:24.468829 : Epoch  1, Batch   2788, Loss  0.883704, Average Loss  0.871540, Time  0.170549
2021-09-10 19:32:26.068745 : Epoch  1, Batch   2789, Loss  0.838219, Average Loss  0.871292, Time  0.177346
2021-09-10 19:32:27.676030 : Epoch  1, Batch   2790, Loss  0.871553, Average Loss  0.871497, Time  0.172375
2021-09-10 19:32:29.272765 : Epoch  1, Batch   2791, Loss  0.855045, Average Loss  0.871488, Time  0.193942
2021-09-10 19:32:30.864833 : Epoch  1, Batch   2792, Loss  0.881865, Average Loss  0.871652, Time  0.170190
2021-09-10 19:32:32.448746 : Epoch  1, Batch   2793, Loss  0.841983, Average Loss  0.871485, Time  0.170402
2021-09-10 19:32:34.050025 : Epoch  1, Batch   2794, Loss  0.856377, Average Loss  0.871420, Time  0.169835
2021-09-10 19:32:35.643032 : Epoch  1, Batch   2795, Loss  0.876671, Average Loss  0.871521, Time  0.179277
2021-09-10 19:32:37.232022 : Epoch  1, Batch   2796, Loss  0.879739, Average Loss  0.871525, Time  0.177922
2021-09-10 19:32:38.801021 : Epoch  1, Batch   2797, Loss  0.863087, Average Loss  0.871348, Time  0.174924
2021-09-10 19:32:40.397737 : Epoch  1, Batch   2798, Loss  0.866954, Average Loss  0.871309, Time  0.170333
2021-09-10 19:32:41.998804 : Epoch  1, Batch   2799, Loss  0.894985, Average Loss  0.871373, Time  0.169910
2021-09-10 19:32:43.574885 : Epoch  1, Batch   2800, Loss  0.842993, Average Loss  0.871339, Time  0.170194
2021-09-10 19:37:23.252736 : CheckPoint: Validation Loss  0.00060048, Best Loss  0.00058919
2021-09-10 19:37:24.830223 : Epoch  1, Batch   2801, Loss  0.876825, Average Loss  0.871286, Time  0.178571
2021-09-10 19:37:26.411749 : Epoch  1, Batch   2802, Loss  0.862463, Average Loss  0.871290, Time  0.172672
2021-09-10 19:37:27.980290 : Epoch  1, Batch   2803, Loss  0.893973, Average Loss  0.871458, Time  0.169518
2021-09-10 19:37:29.565812 : Epoch  1, Batch   2804, Loss  0.840395, Average Loss  0.871107, Time  0.182116
2021-09-10 19:37:31.140826 : Epoch  1, Batch   2805, Loss  0.861393, Average Loss  0.871105, Time  0.169817
2021-09-10 19:37:32.705202 : Epoch  1, Batch   2806, Loss  0.883633, Average Loss  0.871101, Time  0.170784
2021-09-10 19:37:34.291818 : Epoch  1, Batch   2807, Loss  0.889451, Average Loss  0.871426, Time  0.169616
2021-09-10 19:37:35.870734 : Epoch  1, Batch   2808, Loss  0.888088, Average Loss  0.871524, Time  0.172046
2021-09-10 19:37:37.447668 : Epoch  1, Batch   2809, Loss  0.868565, Average Loss  0.871441, Time  0.173206
2021-09-10 19:37:39.025026 : Epoch  1, Batch   2810, Loss  0.887237, Average Loss  0.871531, Time  0.170910
2021-09-10 19:37:40.607761 : Epoch  1, Batch   2811, Loss  0.870328, Average Loss  0.871540, Time  0.170371
2021-09-10 19:37:42.196021 : Epoch  1, Batch   2812, Loss  0.861633, Average Loss  0.871395, Time  0.175570
2021-09-10 19:37:43.792758 : Epoch  1, Batch   2813, Loss  0.872333, Average Loss  0.871385, Time  0.173685
2021-09-10 19:37:45.374736 : Epoch  1, Batch   2814, Loss  0.867698, Average Loss  0.871461, Time  0.171063
2021-09-10 19:37:46.962902 : Epoch  1, Batch   2815, Loss  0.865159, Average Loss  0.871513, Time  0.176086
2021-09-10 19:37:48.540028 : Epoch  1, Batch   2816, Loss  0.851681, Average Loss  0.871406, Time  0.173201
2021-09-10 19:37:50.137870 : Epoch  1, Batch   2817, Loss  0.866386, Average Loss  0.871383, Time  0.170167
2021-09-10 19:37:51.728029 : Epoch  1, Batch   2818, Loss  0.849787, Average Loss  0.871239, Time  0.174472
2021-09-10 19:37:53.327917 : Epoch  1, Batch   2819, Loss  0.848963, Average Loss  0.871245, Time  0.179572
2021-09-10 19:37:54.929030 : Epoch  1, Batch   2820, Loss  0.859269, Average Loss  0.871304, Time  0.175882
2021-09-10 19:37:56.523022 : Epoch  1, Batch   2821, Loss  0.853381, Average Loss  0.871194, Time  0.176577
2021-09-10 19:37:58.133033 : Epoch  1, Batch   2822, Loss  0.866358, Average Loss  0.871122, Time  0.176934
2021-09-10 19:37:59.703482 : Epoch  1, Batch   2823, Loss  0.868986, Average Loss  0.871152, Time  0.171583
2021-09-10 19:38:01.277043 : Epoch  1, Batch   2824, Loss  0.864176, Average Loss  0.871134, Time  0.175200
2021-09-10 19:38:02.875354 : Epoch  1, Batch   2825, Loss  0.885207, Average Loss  0.871252, Time  0.169827
2021-09-10 19:38:04.459017 : Epoch  1, Batch   2826, Loss  0.904300, Average Loss  0.871345, Time  0.176096
2021-09-10 19:38:06.043021 : Epoch  1, Batch   2827, Loss  0.870354, Average Loss  0.871126, Time  0.173212
2021-09-10 19:38:07.633030 : Epoch  1, Batch   2828, Loss  0.858865, Average Loss  0.871095, Time  0.176167
2021-09-10 19:38:09.212756 : Epoch  1, Batch   2829, Loss  0.877807, Average Loss  0.871156, Time  0.173497
2021-09-10 19:38:10.801023 : Epoch  1, Batch   2830, Loss  0.854033, Average Loss  0.871120, Time  0.173989
2021-09-10 19:38:12.379785 : Epoch  1, Batch   2831, Loss  0.869315, Average Loss  0.871127, Time  0.174005
2021-09-10 19:38:13.975794 : Epoch  1, Batch   2832, Loss  0.861508, Average Loss  0.871216, Time  0.171800
2021-09-10 19:38:15.572028 : Epoch  1, Batch   2833, Loss  0.842729, Average Loss  0.871088, Time  0.180326
2021-09-10 19:38:17.169916 : Epoch  1, Batch   2834, Loss  0.866463, Average Loss  0.871012, Time  0.169962
2021-09-10 19:38:18.758026 : Epoch  1, Batch   2835, Loss  0.877962, Average Loss  0.870959, Time  0.173275
2021-09-10 19:38:20.347771 : Epoch  1, Batch   2836, Loss  0.885693, Average Loss  0.870979, Time  0.173294
2021-09-10 19:38:21.939027 : Epoch  1, Batch   2837, Loss  0.888227, Average Loss  0.871070, Time  0.174030
2021-09-10 19:38:23.576034 : Epoch  1, Batch   2838, Loss  0.861887, Average Loss  0.870982, Time  0.170633
2021-09-10 19:38:25.186017 : Epoch  1, Batch   2839, Loss  0.852212, Average Loss  0.870928, Time  0.172630
2021-09-10 19:38:26.780864 : Epoch  1, Batch   2840, Loss  0.876344, Average Loss  0.870770, Time  0.173841
2021-09-10 19:38:28.443807 : Epoch  1, Batch   2841, Loss  0.889217, Average Loss  0.870815, Time  0.222937
2021-09-10 19:38:30.064020 : Epoch  1, Batch   2842, Loss  0.853257, Average Loss  0.870728, Time  0.173578
2021-09-10 19:38:31.658765 : Epoch  1, Batch   2843, Loss  0.880908, Average Loss  0.870851, Time  0.173010
2021-09-10 19:38:33.259769 : Epoch  1, Batch   2844, Loss  0.856470, Average Loss  0.870765, Time  0.172756
2021-09-10 19:38:34.850024 : Epoch  1, Batch   2845, Loss  0.899847, Average Loss  0.870902, Time  0.173917
2021-09-10 19:38:36.427773 : Epoch  1, Batch   2846, Loss  0.883457, Average Loss  0.870895, Time  0.170135
2021-09-10 19:38:38.026032 : Epoch  1, Batch   2847, Loss  0.864179, Average Loss  0.870847, Time  0.169754
2021-09-10 19:38:39.618033 : Epoch  1, Batch   2848, Loss  0.864958, Average Loss  0.870817, Time  0.176110
2021-09-10 19:38:41.221018 : Epoch  1, Batch   2849, Loss  0.904650, Average Loss  0.870920, Time  0.175551
2021-09-10 19:38:42.808909 : Epoch  1, Batch   2850, Loss  0.874857, Average Loss  0.870846, Time  0.170242
2021-09-10 19:38:44.411042 : Epoch  1, Batch   2851, Loss  0.834160, Average Loss  0.870705, Time  0.177654
2021-09-10 19:38:46.019033 : Epoch  1, Batch   2852, Loss  0.876459, Average Loss  0.870820, Time  0.170260
2021-09-10 19:38:47.629018 : Epoch  1, Batch   2853, Loss  0.904491, Average Loss  0.870942, Time  0.172409
2021-09-10 19:38:49.222749 : Epoch  1, Batch   2854, Loss  0.879335, Average Loss  0.871044, Time  0.172172
2021-09-10 19:38:50.824027 : Epoch  1, Batch   2855, Loss  0.884079, Average Loss  0.870974, Time  0.180471
2021-09-10 19:38:52.411794 : Epoch  1, Batch   2856, Loss  0.868474, Average Loss  0.871033, Time  0.170970
2021-09-10 19:38:53.986028 : Epoch  1, Batch   2857, Loss  0.884984, Average Loss  0.871110, Time  0.180518
2021-09-10 19:38:55.573416 : Epoch  1, Batch   2858, Loss  0.881952, Average Loss  0.871232, Time  0.175328
2021-09-10 19:38:57.148900 : Epoch  1, Batch   2859, Loss  0.851183, Average Loss  0.871031, Time  0.170794
2021-09-10 19:38:58.725867 : Epoch  1, Batch   2860, Loss  0.861520, Average Loss  0.870883, Time  0.175058
2021-09-10 19:39:00.306740 : Epoch  1, Batch   2861, Loss  0.870786, Average Loss  0.870904, Time  0.170981
2021-09-10 19:39:01.894761 : Epoch  1, Batch   2862, Loss  0.872073, Average Loss  0.871031, Time  0.169890
2021-09-10 19:39:03.502780 : Epoch  1, Batch   2863, Loss  0.888967, Average Loss  0.871151, Time  0.192777
2021-09-10 19:39:05.113033 : Epoch  1, Batch   2864, Loss  0.894053, Average Loss  0.871078, Time  0.180787
2021-09-10 19:39:06.697818 : Epoch  1, Batch   2865, Loss  0.843109, Average Loss  0.870964, Time  0.170473
2021-09-10 19:39:08.287786 : Epoch  1, Batch   2866, Loss  0.860244, Average Loss  0.870923, Time  0.174021
2021-09-10 19:39:09.863024 : Epoch  1, Batch   2867, Loss  0.864284, Average Loss  0.870994, Time  0.169726
2021-09-10 19:39:11.446025 : Epoch  1, Batch   2868, Loss  0.855782, Average Loss  0.870887, Time  0.170042
2021-09-10 19:39:13.020764 : Epoch  1, Batch   2869, Loss  0.884808, Average Loss  0.871064, Time  0.173474
2021-09-10 19:39:14.654115 : Epoch  1, Batch   2870, Loss  0.858347, Average Loss  0.870972, Time  0.170856
2021-09-10 19:39:16.244030 : Epoch  1, Batch   2871, Loss  0.852314, Average Loss  0.870913, Time  0.172950
2021-09-10 19:39:17.831927 : Epoch  1, Batch   2872, Loss  0.839812, Average Loss  0.870783, Time  0.170202
2021-09-10 19:39:19.449033 : Epoch  1, Batch   2873, Loss  0.890474, Average Loss  0.870928, Time  0.175210
2021-09-10 19:39:21.034788 : Epoch  1, Batch   2874, Loss  0.898247, Average Loss  0.871026, Time  0.170051
2021-09-10 19:39:22.625026 : Epoch  1, Batch   2875, Loss  0.889426, Average Loss  0.871042, Time  0.173982
2021-09-10 19:39:24.251740 : Epoch  1, Batch   2876, Loss  0.838826, Average Loss  0.870937, Time  0.170564
2021-09-10 19:39:25.855002 : Epoch  1, Batch   2877, Loss  0.885205, Average Loss  0.871131, Time  0.169969
2021-09-10 19:39:27.476767 : Epoch  1, Batch   2878, Loss  0.893660, Average Loss  0.871221, Time  0.169872
2021-09-10 19:39:29.074777 : Epoch  1, Batch   2879, Loss  0.858416, Average Loss  0.871227, Time  0.169724
2021-09-10 19:39:30.676781 : Epoch  1, Batch   2880, Loss  0.822342, Average Loss  0.871080, Time  0.169499
2021-09-10 19:39:32.273773 : Epoch  1, Batch   2881, Loss  0.888445, Average Loss  0.870868, Time  0.169861
2021-09-10 19:39:33.842819 : Epoch  1, Batch   2882, Loss  0.843107, Average Loss  0.870768, Time  0.170047
2021-09-10 19:39:35.420792 : Epoch  1, Batch   2883, Loss  0.895383, Average Loss  0.870903, Time  0.173567
2021-09-10 19:39:37.015783 : Epoch  1, Batch   2884, Loss  0.856024, Average Loss  0.870938, Time  0.171161
2021-09-10 19:39:38.622030 : Epoch  1, Batch   2885, Loss  0.882506, Average Loss  0.870837, Time  0.172397
2021-09-10 19:39:40.229790 : Epoch  1, Batch   2886, Loss  0.855458, Average Loss  0.870649, Time  0.174772
2021-09-10 19:39:41.815030 : Epoch  1, Batch   2887, Loss  0.879200, Average Loss  0.870718, Time  0.169778
2021-09-10 19:39:43.390760 : Epoch  1, Batch   2888, Loss  0.832038, Average Loss  0.870656, Time  0.170314
2021-09-10 19:39:45.018737 : Epoch  1, Batch   2889, Loss  0.849814, Average Loss  0.870686, Time  0.178334
2021-09-10 19:39:46.623928 : Epoch  1, Batch   2890, Loss  0.872206, Average Loss  0.870704, Time  0.177449
2021-09-10 19:39:48.228025 : Epoch  1, Batch   2891, Loss  0.868172, Average Loss  0.870739, Time  0.195375
2021-09-10 19:39:49.830733 : Epoch  1, Batch   2892, Loss  0.883972, Average Loss  0.870769, Time  0.183270
2021-09-10 19:39:51.413933 : Epoch  1, Batch   2893, Loss  0.855716, Average Loss  0.870608, Time  0.175990
2021-09-10 19:39:53.027035 : Epoch  1, Batch   2894, Loss  0.892302, Average Loss  0.870816, Time  0.174384
2021-09-10 19:39:54.624518 : Epoch  1, Batch   2895, Loss  0.862376, Average Loss  0.870606, Time  0.176744
2021-09-10 19:39:56.197035 : Epoch  1, Batch   2896, Loss  0.904127, Average Loss  0.870665, Time  0.174188
2021-09-10 19:39:57.801064 : Epoch  1, Batch   2897, Loss  0.887633, Average Loss  0.870662, Time  0.179982
2021-09-10 19:39:59.407064 : Epoch  1, Batch   2898, Loss  0.859912, Average Loss  0.870434, Time  0.175782
2021-09-10 19:40:00.971851 : Epoch  1, Batch   2899, Loss  0.883323, Average Loss  0.870465, Time  0.170073
2021-09-10 19:40:02.569777 : Epoch  1, Batch   2900, Loss  0.845916, Average Loss  0.870378, Time  0.178044
2021-09-10 19:44:42.805714 : CheckPoint: Validation Loss  0.00059806, Best Loss  0.00058919
2021-09-10 19:44:44.405898 : Epoch  1, Batch   2901, Loss  0.885538, Average Loss  0.870473, Time  0.185271
2021-09-10 19:44:45.989735 : Epoch  1, Batch   2902, Loss  0.890424, Average Loss  0.870417, Time  0.173155
2021-09-10 19:44:47.574752 : Epoch  1, Batch   2903, Loss  0.857117, Average Loss  0.870381, Time  0.169917
2021-09-10 19:44:49.173787 : Epoch  1, Batch   2904, Loss  0.830959, Average Loss  0.870086, Time  0.176857
2021-09-10 19:44:50.770742 : Epoch  1, Batch   2905, Loss  0.876437, Average Loss  0.869948, Time  0.170054
2021-09-10 19:44:52.362744 : Epoch  1, Batch   2906, Loss  0.882961, Average Loss  0.870044, Time  0.170837
2021-09-10 19:44:53.966775 : Epoch  1, Batch   2907, Loss  0.920419, Average Loss  0.870330, Time  0.180049
2021-09-10 19:44:55.555736 : Epoch  1, Batch   2908, Loss  0.859971, Average Loss  0.870322, Time  0.183487
2021-09-10 19:44:57.147732 : Epoch  1, Batch   2909, Loss  0.890460, Average Loss  0.870364, Time  0.181781
2021-09-10 19:44:58.759856 : Epoch  1, Batch   2910, Loss  0.858467, Average Loss  0.870260, Time  0.172511
2021-09-10 19:45:00.350904 : Epoch  1, Batch   2911, Loss  0.849449, Average Loss  0.870308, Time  0.178298
2021-09-10 19:45:01.931030 : Epoch  1, Batch   2912, Loss  0.896814, Average Loss  0.870464, Time  0.176927
2021-09-10 19:45:03.522777 : Epoch  1, Batch   2913, Loss  0.887094, Average Loss  0.870523, Time  0.170283
2021-09-10 19:45:05.122829 : Epoch  1, Batch   2914, Loss  0.884414, Average Loss  0.870692, Time  0.170263
2021-09-10 19:45:06.719783 : Epoch  1, Batch   2915, Loss  0.868366, Average Loss  0.870671, Time  0.170247
2021-09-10 19:45:08.315834 : Epoch  1, Batch   2916, Loss  0.886373, Average Loss  0.870797, Time  0.174971
2021-09-10 19:45:09.911755 : Epoch  1, Batch   2917, Loss  0.881757, Average Loss  0.870861, Time  0.177122
2021-09-10 19:45:11.502864 : Epoch  1, Batch   2918, Loss  0.871142, Average Loss  0.870781, Time  0.173680
2021-09-10 19:45:13.086795 : Epoch  1, Batch   2919, Loss  0.874707, Average Loss  0.870781, Time  0.170130
2021-09-10 19:45:14.673827 : Epoch  1, Batch   2920, Loss  0.853401, Average Loss  0.870790, Time  0.175665
2021-09-10 19:45:16.234842 : Epoch  1, Batch   2921, Loss  0.894242, Average Loss  0.871049, Time  0.173297
2021-09-10 19:45:17.817027 : Epoch  1, Batch   2922, Loss  0.882763, Average Loss  0.871100, Time  0.175564
2021-09-10 19:45:19.393790 : Epoch  1, Batch   2923, Loss  0.884873, Average Loss  0.871225, Time  0.171724
2021-09-10 19:45:21.013033 : Epoch  1, Batch   2924, Loss  0.874764, Average Loss  0.871313, Time  0.175233
2021-09-10 19:45:22.576030 : Epoch  1, Batch   2925, Loss  0.859758, Average Loss  0.871259, Time  0.169827
2021-09-10 19:45:24.169743 : Epoch  1, Batch   2926, Loss  0.881831, Average Loss  0.871411, Time  0.173425
2021-09-10 19:45:25.745024 : Epoch  1, Batch   2927, Loss  0.886076, Average Loss  0.871427, Time  0.170344
2021-09-10 19:45:27.336831 : Epoch  1, Batch   2928, Loss  0.884439, Average Loss  0.871547, Time  0.170226
2021-09-10 19:45:28.920891 : Epoch  1, Batch   2929, Loss  0.908637, Average Loss  0.871765, Time  0.175925
2021-09-10 19:45:30.539030 : Epoch  1, Batch   2930, Loss  0.853572, Average Loss  0.871566, Time  0.174085
2021-09-10 19:45:32.127735 : Epoch  1, Batch   2931, Loss  0.857932, Average Loss  0.871471, Time  0.174447
2021-09-10 19:45:33.714735 : Epoch  1, Batch   2932, Loss  0.873355, Average Loss  0.871381, Time  0.173405
2021-09-10 19:45:35.315167 : Epoch  1, Batch   2933, Loss  0.902096, Average Loss  0.871481, Time  0.182472
2021-09-10 19:45:36.912103 : Epoch  1, Batch   2934, Loss  0.845128, Average Loss  0.871283, Time  0.174117
2021-09-10 19:45:38.512029 : Epoch  1, Batch   2935, Loss  0.871617, Average Loss  0.871200, Time  0.169730
2021-09-10 19:45:40.096763 : Epoch  1, Batch   2936, Loss  0.871737, Average Loss  0.871170, Time  0.170487
2021-09-10 19:45:41.695861 : Epoch  1, Batch   2937, Loss  0.879772, Average Loss  0.871189, Time  0.184139
2021-09-10 19:45:43.273267 : Epoch  1, Batch   2938, Loss  0.888927, Average Loss  0.871189, Time  0.174739
2021-09-10 19:45:44.857736 : Epoch  1, Batch   2939, Loss  0.882707, Average Loss  0.871196, Time  0.175200
2021-09-10 19:45:46.447029 : Epoch  1, Batch   2940, Loss  0.878775, Average Loss  0.871393, Time  0.173539
2021-09-10 19:45:48.020743 : Epoch  1, Batch   2941, Loss  0.895251, Average Loss  0.871554, Time  0.170674
2021-09-10 19:45:49.595807 : Epoch  1, Batch   2942, Loss  0.856568, Average Loss  0.871507, Time  0.172978
2021-09-10 19:45:51.169766 : Epoch  1, Batch   2943, Loss  0.871545, Average Loss  0.871568, Time  0.172858
2021-09-10 19:45:52.760021 : Epoch  1, Batch   2944, Loss  0.877209, Average Loss  0.871692, Time  0.177808
2021-09-10 19:45:54.343802 : Epoch  1, Batch   2945, Loss  0.857698, Average Loss  0.871556, Time  0.170693
2021-09-10 19:45:55.930031 : Epoch  1, Batch   2946, Loss  0.845433, Average Loss  0.871351, Time  0.173264
2021-09-10 19:45:57.531767 : Epoch  1, Batch   2947, Loss  0.869639, Average Loss  0.871375, Time  0.170657
2021-09-10 19:45:59.120728 : Epoch  1, Batch   2948, Loss  0.913375, Average Loss  0.871617, Time  0.177973
2021-09-10 19:46:00.694733 : Epoch  1, Batch   2949, Loss  0.850050, Average Loss  0.871324, Time  0.175701
2021-09-10 19:46:02.269005 : Epoch  1, Batch   2950, Loss  0.860427, Average Loss  0.871299, Time  0.179610
2021-09-10 19:46:03.845817 : Epoch  1, Batch   2951, Loss  0.853883, Average Loss  0.871257, Time  0.170012
2021-09-10 19:46:05.417733 : Epoch  1, Batch   2952, Loss  0.872107, Average Loss  0.871371, Time  0.177026
2021-09-10 19:46:06.991043 : Epoch  1, Batch   2953, Loss  0.878221, Average Loss  0.871374, Time  0.170287
2021-09-10 19:46:08.592809 : Epoch  1, Batch   2954, Loss  0.891273, Average Loss  0.871493, Time  0.170201
2021-09-10 19:46:10.210740 : Epoch  1, Batch   2955, Loss  0.861108, Average Loss  0.871471, Time  0.173736
2021-09-10 19:46:11.810849 : Epoch  1, Batch   2956, Loss  0.886171, Average Loss  0.871761, Time  0.176028
2021-09-10 19:46:13.383878 : Epoch  1, Batch   2957, Loss  0.890792, Average Loss  0.871810, Time  0.169679
2021-09-10 19:46:14.960752 : Epoch  1, Batch   2958, Loss  0.850698, Average Loss  0.871649, Time  0.170027
2021-09-10 19:46:16.535783 : Epoch  1, Batch   2959, Loss  0.885320, Average Loss  0.871753, Time  0.169969
2021-09-10 19:46:18.149476 : Epoch  1, Batch   2960, Loss  0.830074, Average Loss  0.871514, Time  0.174709
2021-09-10 19:46:19.773018 : Epoch  1, Batch   2961, Loss  0.862518, Average Loss  0.871501, Time  0.173491
2021-09-10 19:46:21.347040 : Epoch  1, Batch   2962, Loss  0.849593, Average Loss  0.871398, Time  0.170031
2021-09-10 19:46:22.937801 : Epoch  1, Batch   2963, Loss  0.888577, Average Loss  0.871527, Time  0.173120
2021-09-10 19:46:24.533074 : Epoch  1, Batch   2964, Loss  0.878955, Average Loss  0.871427, Time  0.169969
2021-09-10 19:46:26.148875 : Epoch  1, Batch   2965, Loss  0.879567, Average Loss  0.871332, Time  0.178290
2021-09-10 19:46:27.747773 : Epoch  1, Batch   2966, Loss  0.883928, Average Loss  0.871386, Time  0.173444
2021-09-10 19:46:29.337038 : Epoch  1, Batch   2967, Loss  0.889325, Average Loss  0.871405, Time  0.169653
2021-09-10 19:46:30.937858 : Epoch  1, Batch   2968, Loss  0.879901, Average Loss  0.871574, Time  0.169831
2021-09-10 19:46:32.543796 : Epoch  1, Batch   2969, Loss  0.878381, Average Loss  0.871554, Time  0.172792
2021-09-10 19:46:34.152026 : Epoch  1, Batch   2970, Loss  0.887460, Average Loss  0.871633, Time  0.170893
2021-09-10 19:46:35.754023 : Epoch  1, Batch   2971, Loss  0.866366, Average Loss  0.871565, Time  0.172844
2021-09-10 19:46:37.346837 : Epoch  1, Batch   2972, Loss  0.875704, Average Loss  0.871522, Time  0.170371
2021-09-10 19:46:38.921816 : Epoch  1, Batch   2973, Loss  0.895203, Average Loss  0.871626, Time  0.169700
2021-09-10 19:46:40.517020 : Epoch  1, Batch   2974, Loss  0.855071, Average Loss  0.871576, Time  0.176748
2021-09-10 19:46:42.105857 : Epoch  1, Batch   2975, Loss  0.864356, Average Loss  0.871479, Time  0.169779
2021-09-10 19:46:43.700741 : Epoch  1, Batch   2976, Loss  0.866029, Average Loss  0.871532, Time  0.173071
2021-09-10 19:46:45.270792 : Epoch  1, Batch   2977, Loss  0.844082, Average Loss  0.871515, Time  0.171972
2021-09-10 19:46:46.873803 : Epoch  1, Batch   2978, Loss  0.888794, Average Loss  0.871587, Time  0.173405
2021-09-10 19:46:48.454742 : Epoch  1, Batch   2979, Loss  0.883402, Average Loss  0.871509, Time  0.169655
2021-09-10 19:46:50.053683 : Epoch  1, Batch   2980, Loss  0.834573, Average Loss  0.871373, Time  0.174898
2021-09-10 19:46:51.634866 : Epoch  1, Batch   2981, Loss  0.836642, Average Loss  0.871149, Time  0.172642
2021-09-10 19:46:53.215856 : Epoch  1, Batch   2982, Loss  0.865560, Average Loss  0.871087, Time  0.170090
2021-09-10 19:46:54.812970 : Epoch  1, Batch   2983, Loss  0.842076, Average Loss  0.871017, Time  0.173927
2021-09-10 19:46:56.401037 : Epoch  1, Batch   2984, Loss  0.879093, Average Loss  0.871049, Time  0.169727
2021-09-10 19:46:58.008826 : Epoch  1, Batch   2985, Loss  0.873512, Average Loss  0.871049, Time  0.194468
2021-09-10 19:46:59.612033 : Epoch  1, Batch   2986, Loss  0.872709, Average Loss  0.871043, Time  0.169742
2021-09-10 19:47:01.211913 : Epoch  1, Batch   2987, Loss  0.875145, Average Loss  0.871121, Time  0.177614
2021-09-10 19:47:02.791864 : Epoch  1, Batch   2988, Loss  0.829346, Average Loss  0.870849, Time  0.172813
2021-09-10 19:47:04.396755 : Epoch  1, Batch   2989, Loss  0.865030, Average Loss  0.870983, Time  0.180767
2021-09-10 19:47:06.017219 : Epoch  1, Batch   2990, Loss  0.894302, Average Loss  0.871097, Time  0.169859
2021-09-10 19:47:07.587608 : Epoch  1, Batch   2991, Loss  0.880990, Average Loss  0.871226, Time  0.170165
2021-09-10 19:47:09.166767 : Epoch  1, Batch   2992, Loss  0.865405, Average Loss  0.871144, Time  0.169811
2021-09-10 19:47:10.744458 : Epoch  1, Batch   2993, Loss  0.855225, Average Loss  0.871210, Time  0.169527
2021-09-10 19:47:12.328828 : Epoch  1, Batch   2994, Loss  0.899548, Average Loss  0.871426, Time  0.176017
2021-09-10 19:47:13.896822 : Epoch  1, Batch   2995, Loss  0.862322, Average Loss  0.871354, Time  0.171528
2021-09-10 19:47:15.484881 : Epoch  1, Batch   2996, Loss  0.899465, Average Loss  0.871453, Time  0.170891
2021-09-10 19:47:17.077749 : Epoch  1, Batch   2997, Loss  0.862071, Average Loss  0.871448, Time  0.170439
2021-09-10 19:47:18.675780 : Epoch  1, Batch   2998, Loss  0.849833, Average Loss  0.871362, Time  0.176998
2021-09-10 19:47:20.253607 : Epoch  1, Batch   2999, Loss  0.843278, Average Loss  0.871104, Time  0.173792
2021-09-10 19:47:27.344751 : Epoch  1, Batch   3000, Loss  0.883316, Average Loss  0.871305, Time  0.180219
2021-09-10 19:52:07.194713 : CheckPoint: Validation Loss  0.00059649, Best Loss  0.00058919
2021-09-10 19:52:08.801954 : Epoch  1, Batch   3001, Loss  0.852119, Average Loss  0.871182, Time  0.180544
2021-09-10 19:52:10.392722 : Epoch  1, Batch   3002, Loss  0.854926, Average Loss  0.871144, Time  0.173322
2021-09-10 19:52:11.972752 : Epoch  1, Batch   3003, Loss  0.899474, Average Loss  0.871172, Time  0.170688
2021-09-10 19:52:13.545780 : Epoch  1, Batch   3004, Loss  0.831570, Average Loss  0.871128, Time  0.173711
2021-09-10 19:52:15.126831 : Epoch  1, Batch   3005, Loss  0.873095, Average Loss  0.871186, Time  0.170438
2021-09-10 19:52:16.728035 : Epoch  1, Batch   3006, Loss  0.844870, Average Loss  0.870992, Time  0.171510
2021-09-10 19:52:18.334749 : Epoch  1, Batch   3007, Loss  0.879178, Average Loss  0.870941, Time  0.170376
2021-09-10 19:52:19.913046 : Epoch  1, Batch   3008, Loss  0.874158, Average Loss  0.870871, Time  0.170872
2021-09-10 19:52:21.491760 : Epoch  1, Batch   3009, Loss  0.860207, Average Loss  0.870829, Time  0.188119
2021-09-10 19:52:23.062408 : Epoch  1, Batch   3010, Loss  0.872786, Average Loss  0.870757, Time  0.174838
2021-09-10 19:52:24.637800 : Epoch  1, Batch   3011, Loss  0.855452, Average Loss  0.870683, Time  0.170001
2021-09-10 19:52:26.212840 : Epoch  1, Batch   3012, Loss  0.867676, Average Loss  0.870713, Time  0.171759
2021-09-10 19:52:27.797742 : Epoch  1, Batch   3013, Loss  0.895434, Average Loss  0.870829, Time  0.175479
2021-09-10 19:52:29.390030 : Epoch  1, Batch   3014, Loss  0.853793, Average Loss  0.870759, Time  0.172728
2021-09-10 19:52:30.973757 : Epoch  1, Batch   3015, Loss  0.880726, Average Loss  0.870837, Time  0.169643
2021-09-10 19:52:32.549028 : Epoch  1, Batch   3016, Loss  0.882285, Average Loss  0.870990, Time  0.170126
2021-09-10 19:52:34.147043 : Epoch  1, Batch   3017, Loss  0.881834, Average Loss  0.871067, Time  0.174969
2021-09-10 19:52:35.738970 : Epoch  1, Batch   3018, Loss  0.876267, Average Loss  0.871199, Time  0.172935
2021-09-10 19:52:37.316747 : Epoch  1, Batch   3019, Loss  0.859854, Average Loss  0.871254, Time  0.172271
2021-09-10 19:52:38.896010 : Epoch  1, Batch   3020, Loss  0.867579, Average Loss  0.871296, Time  0.171947
2021-09-10 19:52:40.475819 : Epoch  1, Batch   3021, Loss  0.847013, Average Loss  0.871264, Time  0.173793
2021-09-10 19:52:42.050841 : Epoch  1, Batch   3022, Loss  0.867146, Average Loss  0.871268, Time  0.170516
2021-09-10 19:52:43.647852 : Epoch  1, Batch   3023, Loss  0.879066, Average Loss  0.871318, Time  0.171950
2021-09-10 19:52:45.254864 : Epoch  1, Batch   3024, Loss  0.900981, Average Loss  0.871502, Time  0.172637
2021-09-10 19:52:46.847776 : Epoch  1, Batch   3025, Loss  0.871456, Average Loss  0.871433, Time  0.172560
2021-09-10 19:52:48.451742 : Epoch  1, Batch   3026, Loss  0.876014, Average Loss  0.871292, Time  0.178928
2021-09-10 19:52:50.040712 : Epoch  1, Batch   3027, Loss  0.858876, Average Loss  0.871234, Time  0.172138
2021-09-10 19:52:51.647027 : Epoch  1, Batch   3028, Loss  0.884485, Average Loss  0.871363, Time  0.173064
2021-09-10 19:52:53.232920 : Epoch  1, Batch   3029, Loss  0.879029, Average Loss  0.871369, Time  0.169752
2021-09-10 19:52:54.798951 : Epoch  1, Batch   3030, Loss  0.867025, Average Loss  0.871434, Time  0.171041
2021-09-10 19:52:56.379980 : Epoch  1, Batch   3031, Loss  0.861754, Average Loss  0.871396, Time  0.172301
2021-09-10 19:52:57.987012 : Epoch  1, Batch   3032, Loss  0.873563, Average Loss  0.871456, Time  0.172685
2021-09-10 19:52:59.574798 : Epoch  1, Batch   3033, Loss  0.885073, Average Loss  0.871668, Time  0.170142
2021-09-10 19:53:01.156026 : Epoch  1, Batch   3034, Loss  0.873581, Average Loss  0.871703, Time  0.170522
2021-09-10 19:53:02.741839 : Epoch  1, Batch   3035, Loss  0.837239, Average Loss  0.871500, Time  0.169578
2021-09-10 19:53:04.352745 : Epoch  1, Batch   3036, Loss  0.862034, Average Loss  0.871382, Time  0.171113
2021-09-10 19:53:05.937842 : Epoch  1, Batch   3037, Loss  0.860817, Average Loss  0.871244, Time  0.171930
2021-09-10 19:53:07.545784 : Epoch  1, Batch   3038, Loss  0.867862, Average Loss  0.871274, Time  0.175846
2021-09-10 19:53:09.132055 : Epoch  1, Batch   3039, Loss  0.837949, Average Loss  0.871203, Time  0.178139
2021-09-10 19:53:10.712633 : Epoch  1, Batch   3040, Loss  0.857080, Average Loss  0.871107, Time  0.170335
2021-09-10 19:53:12.314078 : Epoch  1, Batch   3041, Loss  0.880007, Average Loss  0.871061, Time  0.170227
2021-09-10 19:53:13.899792 : Epoch  1, Batch   3042, Loss  0.871486, Average Loss  0.871152, Time  0.174953
2021-09-10 19:53:15.492788 : Epoch  1, Batch   3043, Loss  0.832051, Average Loss  0.870908, Time  0.170249
2021-09-10 19:53:17.083768 : Epoch  1, Batch   3044, Loss  0.877614, Average Loss  0.871013, Time  0.176380
2021-09-10 19:53:18.671751 : Epoch  1, Batch   3045, Loss  0.852200, Average Loss  0.870775, Time  0.173123
2021-09-10 19:53:20.263743 : Epoch  1, Batch   3046, Loss  0.850763, Average Loss  0.870612, Time  0.177866
2021-09-10 19:53:21.853772 : Epoch  1, Batch   3047, Loss  0.889408, Average Loss  0.870738, Time  0.169862
2021-09-10 19:53:23.427032 : Epoch  1, Batch   3048, Loss  0.898613, Average Loss  0.870906, Time  0.170068
2021-09-10 19:53:25.031440 : Epoch  1, Batch   3049, Loss  0.851332, Average Loss  0.870639, Time  0.170438
2021-09-10 19:53:26.646037 : Epoch  1, Batch   3050, Loss  0.855654, Average Loss  0.870543, Time  0.173892
2021-09-10 19:53:28.251753 : Epoch  1, Batch   3051, Loss  0.872490, Average Loss  0.870735, Time  0.176973
2021-09-10 19:53:29.833735 : Epoch  1, Batch   3052, Loss  0.869525, Average Loss  0.870700, Time  0.172170
2021-09-10 19:53:31.406767 : Epoch  1, Batch   3053, Loss  0.868347, Average Loss  0.870520, Time  0.170241
2021-09-10 19:53:33.017020 : Epoch  1, Batch   3054, Loss  0.869641, Average Loss  0.870471, Time  0.169556
2021-09-10 19:53:34.625012 : Epoch  1, Batch   3055, Loss  0.902399, Average Loss  0.870563, Time  0.170208
2021-09-10 19:53:36.221727 : Epoch  1, Batch   3056, Loss  0.877913, Average Loss  0.870610, Time  0.170218
2021-09-10 19:53:37.805069 : Epoch  1, Batch   3057, Loss  0.887771, Average Loss  0.870624, Time  0.172637
2021-09-10 19:53:39.385994 : Epoch  1, Batch   3058, Loss  0.886495, Average Loss  0.870647, Time  0.173694
2021-09-10 19:53:40.980886 : Epoch  1, Batch   3059, Loss  0.875304, Average Loss  0.870767, Time  0.172423
2021-09-10 19:53:42.568802 : Epoch  1, Batch   3060, Loss  0.868809, Average Loss  0.870804, Time  0.174470
2021-09-10 19:53:44.167889 : Epoch  1, Batch   3061, Loss  0.831500, Average Loss  0.870607, Time  0.174159
2021-09-10 19:53:45.762740 : Epoch  1, Batch   3062, Loss  0.851618, Average Loss  0.870505, Time  0.175767
2021-09-10 19:53:47.383736 : Epoch  1, Batch   3063, Loss  0.861328, Average Loss  0.870367, Time  0.170527
2021-09-10 19:53:48.974612 : Epoch  1, Batch   3064, Loss  0.866436, Average Loss  0.870229, Time  0.174737
2021-09-10 19:53:50.560745 : Epoch  1, Batch   3065, Loss  0.874626, Average Loss  0.870386, Time  0.175209
2021-09-10 19:53:52.155028 : Epoch  1, Batch   3066, Loss  0.837143, Average Loss  0.870271, Time  0.170753
2021-09-10 19:53:53.744031 : Epoch  1, Batch   3067, Loss  0.870113, Average Loss  0.870300, Time  0.169792
2021-09-10 19:53:55.332020 : Epoch  1, Batch   3068, Loss  0.879586, Average Loss  0.870419, Time  0.178169
2021-09-10 19:53:56.909691 : Epoch  1, Batch   3069, Loss  0.861444, Average Loss  0.870302, Time  0.170486
2021-09-10 19:53:58.475006 : Epoch  1, Batch   3070, Loss  0.869109, Average Loss  0.870356, Time  0.170041
2021-09-10 19:54:00.054725 : Epoch  1, Batch   3071, Loss  0.853079, Average Loss  0.870360, Time  0.173898
2021-09-10 19:54:01.642027 : Epoch  1, Batch   3072, Loss  0.896556, Average Loss  0.870643, Time  0.169909
2021-09-10 19:54:03.237737 : Epoch  1, Batch   3073, Loss  0.865249, Average Loss  0.870517, Time  0.169767
2021-09-10 19:54:04.849948 : Epoch  1, Batch   3074, Loss  0.896508, Average Loss  0.870509, Time  0.169961
2021-09-10 19:54:06.446741 : Epoch  1, Batch   3075, Loss  0.893237, Average Loss  0.870528, Time  0.176862
2021-09-10 19:54:08.029785 : Epoch  1, Batch   3076, Loss  0.877574, Average Loss  0.870721, Time  0.173275
2021-09-10 19:54:09.641026 : Epoch  1, Batch   3077, Loss  0.860876, Average Loss  0.870600, Time  0.184777
2021-09-10 19:54:11.254748 : Epoch  1, Batch   3078, Loss  0.876564, Average Loss  0.870514, Time  0.185275
2021-09-10 19:54:12.858460 : Epoch  1, Batch   3079, Loss  0.860622, Average Loss  0.870525, Time  0.170487
2021-09-10 19:54:14.427285 : Epoch  1, Batch   3080, Loss  0.859649, Average Loss  0.870712, Time  0.170931
2021-09-10 19:54:16.009986 : Epoch  1, Batch   3081, Loss  0.908452, Average Loss  0.870812, Time  0.170376
2021-09-10 19:54:17.599807 : Epoch  1, Batch   3082, Loss  0.887423, Average Loss  0.871033, Time  0.172518
2021-09-10 19:54:19.195838 : Epoch  1, Batch   3083, Loss  0.887299, Average Loss  0.870993, Time  0.170259
2021-09-10 19:54:20.790068 : Epoch  1, Batch   3084, Loss  0.915522, Average Loss  0.871291, Time  0.171044
2021-09-10 19:54:22.410787 : Epoch  1, Batch   3085, Loss  0.838000, Average Loss  0.871068, Time  0.170230
2021-09-10 19:54:24.021001 : Epoch  1, Batch   3086, Loss  0.860572, Average Loss  0.871094, Time  0.185214
2021-09-10 19:54:25.637755 : Epoch  1, Batch   3087, Loss  0.866009, Average Loss  0.871028, Time  0.177749
2021-09-10 19:54:27.222879 : Epoch  1, Batch   3088, Loss  0.871326, Average Loss  0.871224, Time  0.179065
2021-09-10 19:54:28.815894 : Epoch  1, Batch   3089, Loss  0.869493, Average Loss  0.871322, Time  0.169924
2021-09-10 19:54:30.424877 : Epoch  1, Batch   3090, Loss  0.864353, Average Loss  0.871283, Time  0.170469
2021-09-10 19:54:32.003034 : Epoch  1, Batch   3091, Loss  0.866344, Average Loss  0.871274, Time  0.174226
2021-09-10 19:54:33.570453 : Epoch  1, Batch   3092, Loss  0.868286, Average Loss  0.871196, Time  0.173805
2021-09-10 19:54:35.157772 : Epoch  1, Batch   3093, Loss  0.857275, Average Loss  0.871203, Time  0.173990
2021-09-10 19:54:36.780024 : Epoch  1, Batch   3094, Loss  0.874296, Average Loss  0.871113, Time  0.179224
2021-09-10 19:54:38.351764 : Epoch  1, Batch   3095, Loss  0.857816, Average Loss  0.871091, Time  0.175970
2021-09-10 19:54:39.931923 : Epoch  1, Batch   3096, Loss  0.888700, Average Loss  0.871013, Time  0.169885
2021-09-10 19:54:41.506982 : Epoch  1, Batch   3097, Loss  0.877445, Average Loss  0.870962, Time  0.172322
2021-09-10 19:54:43.079774 : Epoch  1, Batch   3098, Loss  0.852937, Average Loss  0.870928, Time  0.169690
2021-09-10 19:54:44.667743 : Epoch  1, Batch   3099, Loss  0.896525, Average Loss  0.870994, Time  0.170166
2021-09-10 19:54:46.265017 : Epoch  1, Batch   3100, Loss  0.867371, Average Loss  0.871101, Time  0.173446
2021-09-10 19:59:26.104714 : CheckPoint: Validation Loss  0.00060796, Best Loss  0.00058919
2021-09-10 19:59:27.725391 : Epoch  1, Batch   3101, Loss  0.859530, Average Loss  0.870971, Time  0.182765
2021-09-10 19:59:29.313751 : Epoch  1, Batch   3102, Loss  0.854210, Average Loss  0.870790, Time  0.176019
2021-09-10 19:59:30.913827 : Epoch  1, Batch   3103, Loss  0.852725, Average Loss  0.870768, Time  0.173444
2021-09-10 19:59:32.519768 : Epoch  1, Batch   3104, Loss  0.869497, Average Loss  0.870961, Time  0.170420
2021-09-10 19:59:34.113852 : Epoch  1, Batch   3105, Loss  0.876251, Average Loss  0.870960, Time  0.173000
2021-09-10 19:59:35.710800 : Epoch  1, Batch   3106, Loss  0.884083, Average Loss  0.870965, Time  0.174308
2021-09-10 19:59:37.321032 : Epoch  1, Batch   3107, Loss  0.879928, Average Loss  0.870763, Time  0.176632
2021-09-10 19:59:38.913025 : Epoch  1, Batch   3108, Loss  0.877649, Average Loss  0.870851, Time  0.169653
2021-09-10 19:59:40.492027 : Epoch  1, Batch   3109, Loss  0.856652, Average Loss  0.870682, Time  0.169786
2021-09-10 19:59:42.090033 : Epoch  1, Batch   3110, Loss  0.874163, Average Loss  0.870761, Time  0.173280
2021-09-10 19:59:43.679745 : Epoch  1, Batch   3111, Loss  0.875094, Average Loss  0.870889, Time  0.170144
2021-09-10 19:59:45.305764 : Epoch  1, Batch   3112, Loss  0.890749, Average Loss  0.870858, Time  0.169816
2021-09-10 19:59:46.891725 : Epoch  1, Batch   3113, Loss  0.880994, Average Loss  0.870828, Time  0.172206
2021-09-10 19:59:48.495788 : Epoch  1, Batch   3114, Loss  0.866948, Average Loss  0.870741, Time  0.172749
2021-09-10 19:59:50.099868 : Epoch  1, Batch   3115, Loss  0.885475, Average Loss  0.870826, Time  0.170825
2021-09-10 19:59:51.694031 : Epoch  1, Batch   3116, Loss  0.869130, Average Loss  0.870740, Time  0.173077
2021-09-10 19:59:53.260868 : Epoch  1, Batch   3117, Loss  0.868437, Average Loss  0.870673, Time  0.173841
2021-09-10 19:59:54.846037 : Epoch  1, Batch   3118, Loss  0.900141, Average Loss  0.870818, Time  0.172498
2021-09-10 19:59:56.441030 : Epoch  1, Batch   3119, Loss  0.855219, Average Loss  0.870721, Time  0.171175
2021-09-10 19:59:58.041029 : Epoch  1, Batch   3120, Loss  0.875812, Average Loss  0.870833, Time  0.176986
2021-09-10 19:59:59.633754 : Epoch  1, Batch   3121, Loss  0.885013, Average Loss  0.870787, Time  0.174058
2021-09-10 20:00:01.201800 : Epoch  1, Batch   3122, Loss  0.859763, Average Loss  0.870672, Time  0.170985
2021-09-10 20:00:02.830771 : Epoch  1, Batch   3123, Loss  0.869744, Average Loss  0.870596, Time  0.173523
2021-09-10 20:00:04.430031 : Epoch  1, Batch   3124, Loss  0.884202, Average Loss  0.870643, Time  0.175815
2021-09-10 20:00:06.030777 : Epoch  1, Batch   3125, Loss  0.888928, Average Loss  0.870789, Time  0.171935
2021-09-10 20:00:07.642022 : Epoch  1, Batch   3126, Loss  0.865665, Average Loss  0.870708, Time  0.170056
2021-09-10 20:00:09.265024 : Epoch  1, Batch   3127, Loss  0.886822, Average Loss  0.870712, Time  0.174259
2021-09-10 20:00:10.864025 : Epoch  1, Batch   3128, Loss  0.860159, Average Loss  0.870591, Time  0.170242
2021-09-10 20:00:12.433758 : Epoch  1, Batch   3129, Loss  0.858867, Average Loss  0.870342, Time  0.169523
2021-09-10 20:00:14.016788 : Epoch  1, Batch   3130, Loss  0.884235, Average Loss  0.870495, Time  0.184361
2021-09-10 20:00:15.629031 : Epoch  1, Batch   3131, Loss  0.897539, Average Loss  0.870693, Time  0.174741
2021-09-10 20:00:17.250027 : Epoch  1, Batch   3132, Loss  0.824547, Average Loss  0.870449, Time  0.175269
2021-09-10 20:00:18.868727 : Epoch  1, Batch   3133, Loss  0.884252, Average Loss  0.870360, Time  0.175861
2021-09-10 20:00:20.441872 : Epoch  1, Batch   3134, Loss  0.921209, Average Loss  0.870740, Time  0.169907
2021-09-10 20:00:22.021057 : Epoch  1, Batch   3135, Loss  0.843798, Average Loss  0.870601, Time  0.170856
2021-09-10 20:00:23.618014 : Epoch  1, Batch   3136, Loss  0.886520, Average Loss  0.870675, Time  0.172411
2021-09-10 20:00:25.224774 : Epoch  1, Batch   3137, Loss  0.855970, Average Loss  0.870556, Time  0.178791
2021-09-10 20:00:26.829839 : Epoch  1, Batch   3138, Loss  0.884733, Average Loss  0.870535, Time  0.181128
2021-09-10 20:00:28.396839 : Epoch  1, Batch   3139, Loss  0.845371, Average Loss  0.870349, Time  0.169601
2021-09-10 20:00:30.013098 : Epoch  1, Batch   3140, Loss  0.841505, Average Loss  0.870162, Time  0.170952
2021-09-10 20:00:31.610848 : Epoch  1, Batch   3141, Loss  0.877611, Average Loss  0.870074, Time  0.169879
2021-09-10 20:00:33.218996 : Epoch  1, Batch   3142, Loss  0.883262, Average Loss  0.870207, Time  0.169494
2021-09-10 20:00:34.833024 : Epoch  1, Batch   3143, Loss  0.872405, Average Loss  0.870212, Time  0.169734
2021-09-10 20:00:36.433988 : Epoch  1, Batch   3144, Loss  0.884106, Average Loss  0.870246, Time  0.169550
2021-09-10 20:00:38.029812 : Epoch  1, Batch   3145, Loss  0.875134, Average Loss  0.870333, Time  0.169932
2021-09-10 20:00:39.655993 : Epoch  1, Batch   3146, Loss  0.841930, Average Loss  0.870316, Time  0.169558
2021-09-10 20:00:41.275901 : Epoch  1, Batch   3147, Loss  0.869956, Average Loss  0.870317, Time  0.169926
2021-09-10 20:00:42.885793 : Epoch  1, Batch   3148, Loss  0.857093, Average Loss  0.870036, Time  0.169635
2021-09-10 20:00:44.481758 : Epoch  1, Batch   3149, Loss  0.878239, Average Loss  0.870177, Time  0.170057
2021-09-10 20:00:46.090745 : Epoch  1, Batch   3150, Loss  0.868500, Average Loss  0.870217, Time  0.170469
2021-09-10 20:00:47.695034 : Epoch  1, Batch   3151, Loss  0.855377, Average Loss  0.870225, Time  0.169775
2021-09-10 20:00:49.307782 : Epoch  1, Batch   3152, Loss  0.888049, Average Loss  0.870305, Time  0.185047
2021-09-10 20:00:50.935045 : Epoch  1, Batch   3153, Loss  0.860002, Average Loss  0.870213, Time  0.176300
2021-09-10 20:00:52.516043 : Epoch  1, Batch   3154, Loss  0.877451, Average Loss  0.870144, Time  0.169894
2021-09-10 20:00:54.132860 : Epoch  1, Batch   3155, Loss  0.864035, Average Loss  0.870159, Time  0.171681
2021-09-10 20:00:55.739801 : Epoch  1, Batch   3156, Loss  0.848377, Average Loss  0.869970, Time  0.172932
2021-09-10 20:00:57.338742 : Epoch  1, Batch   3157, Loss  0.900752, Average Loss  0.870020, Time  0.173727
2021-09-10 20:00:58.928022 : Epoch  1, Batch   3158, Loss  0.885929, Average Loss  0.870196, Time  0.176690
2021-09-10 20:01:00.519822 : Epoch  1, Batch   3159, Loss  0.865829, Average Loss  0.870099, Time  0.170584
2021-09-10 20:01:02.087887 : Epoch  1, Batch   3160, Loss  0.865561, Average Loss  0.870276, Time  0.174593
2021-09-10 20:01:03.691036 : Epoch  1, Batch   3161, Loss  0.871947, Average Loss  0.870323, Time  0.170068
2021-09-10 20:01:05.277036 : Epoch  1, Batch   3162, Loss  0.859950, Average Loss  0.870375, Time  0.172982
2021-09-10 20:01:06.859088 : Epoch  1, Batch   3163, Loss  0.877580, Average Loss  0.870320, Time  0.169765
2021-09-10 20:01:08.430843 : Epoch  1, Batch   3164, Loss  0.876231, Average Loss  0.870306, Time  0.169881
2021-09-10 20:01:09.986814 : Epoch  1, Batch   3165, Loss  0.858901, Average Loss  0.870203, Time  0.170778
2021-09-10 20:01:11.551029 : Epoch  1, Batch   3166, Loss  0.872672, Average Loss  0.870147, Time  0.173767
2021-09-10 20:01:13.126729 : Epoch  1, Batch   3167, Loss  0.899096, Average Loss  0.870196, Time  0.176179
2021-09-10 20:01:14.717870 : Epoch  1, Batch   3168, Loss  0.880905, Average Loss  0.870201, Time  0.171501
2021-09-10 20:01:16.314849 : Epoch  1, Batch   3169, Loss  0.870111, Average Loss  0.870159, Time  0.176338
2021-09-10 20:01:17.881768 : Epoch  1, Batch   3170, Loss  0.886751, Average Loss  0.870156, Time  0.170040
2021-09-10 20:01:19.461878 : Epoch  1, Batch   3171, Loss  0.880497, Average Loss  0.870226, Time  0.170589
2021-09-10 20:01:21.031142 : Epoch  1, Batch   3172, Loss  0.859139, Average Loss  0.870143, Time  0.170104
2021-09-10 20:01:22.600988 : Epoch  1, Batch   3173, Loss  0.862070, Average Loss  0.869978, Time  0.169437
2021-09-10 20:01:24.203981 : Epoch  1, Batch   3174, Loss  0.865337, Average Loss  0.870029, Time  0.169137
2021-09-10 20:01:25.822980 : Epoch  1, Batch   3175, Loss  0.863407, Average Loss  0.870024, Time  0.169634
2021-09-10 20:01:27.416726 : Epoch  1, Batch   3176, Loss  0.871249, Average Loss  0.870051, Time  0.169764
2021-09-10 20:01:29.010866 : Epoch  1, Batch   3177, Loss  0.877824, Average Loss  0.870219, Time  0.173374
2021-09-10 20:01:30.624733 : Epoch  1, Batch   3178, Loss  0.878423, Average Loss  0.870167, Time  0.169467
2021-09-10 20:01:32.224851 : Epoch  1, Batch   3179, Loss  0.843396, Average Loss  0.869967, Time  0.169730
2021-09-10 20:01:33.808277 : Epoch  1, Batch   3180, Loss  0.876114, Average Loss  0.870175, Time  0.169369
2021-09-10 20:01:35.417935 : Epoch  1, Batch   3181, Loss  0.868633, Average Loss  0.870335, Time  0.169491
2021-09-10 20:01:37.009121 : Epoch  1, Batch   3182, Loss  0.891788, Average Loss  0.870466, Time  0.169678
2021-09-10 20:01:38.576846 : Epoch  1, Batch   3183, Loss  0.877824, Average Loss  0.870645, Time  0.169862
2021-09-10 20:01:40.159998 : Epoch  1, Batch   3184, Loss  0.860882, Average Loss  0.870554, Time  0.169427
2021-09-10 20:01:41.771793 : Epoch  1, Batch   3185, Loss  0.849475, Average Loss  0.870434, Time  0.170094
2021-09-10 20:01:43.370927 : Epoch  1, Batch   3186, Loss  0.888714, Average Loss  0.870514, Time  0.170081
2021-09-10 20:01:44.966879 : Epoch  1, Batch   3187, Loss  0.878342, Average Loss  0.870530, Time  0.172659
2021-09-10 20:01:46.544869 : Epoch  1, Batch   3188, Loss  0.870177, Average Loss  0.870734, Time  0.175101
2021-09-10 20:01:48.130918 : Epoch  1, Batch   3189, Loss  0.911003, Average Loss  0.870964, Time  0.177696
2021-09-10 20:01:49.712993 : Epoch  1, Batch   3190, Loss  0.856942, Average Loss  0.870777, Time  0.169509
2021-09-10 20:01:51.320991 : Epoch  1, Batch   3191, Loss  0.880851, Average Loss  0.870776, Time  0.169608
2021-09-10 20:01:52.908236 : Epoch  1, Batch   3192, Loss  0.878309, Average Loss  0.870841, Time  0.169800
2021-09-10 20:01:54.475446 : Epoch  1, Batch   3193, Loss  0.892481, Average Loss  0.871027, Time  0.170088
2021-09-10 20:01:56.056990 : Epoch  1, Batch   3194, Loss  0.893762, Average Loss  0.870998, Time  0.169473
2021-09-10 20:01:57.652756 : Epoch  1, Batch   3195, Loss  0.855048, Average Loss  0.870962, Time  0.169636
2021-09-10 20:01:59.238840 : Epoch  1, Batch   3196, Loss  0.856887, Average Loss  0.870749, Time  0.169374
2021-09-10 20:02:00.836816 : Epoch  1, Batch   3197, Loss  0.854194, Average Loss  0.870709, Time  0.180226
2021-09-10 20:02:02.417998 : Epoch  1, Batch   3198, Loss  0.875656, Average Loss  0.870839, Time  0.169905
2021-09-10 20:02:04.010773 : Epoch  1, Batch   3199, Loss  0.874207, Average Loss  0.870993, Time  0.171557
2021-09-10 20:02:05.618794 : Epoch  1, Batch   3200, Loss  0.853674, Average Loss  0.870845, Time  0.169747
2021-09-10 20:06:46.075725 : CheckPoint: Validation Loss  0.00064267, Best Loss  0.00058919
2021-09-10 20:06:47.654887 : Epoch  1, Batch   3201, Loss  0.868069, Average Loss  0.870925, Time  0.177283
2021-09-10 20:06:49.262963 : Epoch  1, Batch   3202, Loss  0.874556, Average Loss  0.871023, Time  0.170010
2021-09-10 20:06:50.873816 : Epoch  1, Batch   3203, Loss  0.868547, Average Loss  0.870868, Time  0.169945
2021-09-10 20:06:52.469857 : Epoch  1, Batch   3204, Loss  0.835232, Average Loss  0.870887, Time  0.169848
2021-09-10 20:06:54.056790 : Epoch  1, Batch   3205, Loss  0.883202, Average Loss  0.870937, Time  0.170547
2021-09-10 20:06:55.660008 : Epoch  1, Batch   3206, Loss  0.894028, Average Loss  0.871183, Time  0.170342
2021-09-10 20:06:57.263782 : Epoch  1, Batch   3207, Loss  0.879218, Average Loss  0.871183, Time  0.174276
2021-09-10 20:06:58.833786 : Epoch  1, Batch   3208, Loss  0.890879, Average Loss  0.871267, Time  0.173110
2021-09-10 20:07:00.422690 : Epoch  1, Batch   3209, Loss  0.884603, Average Loss  0.871389, Time  0.175763
2021-09-10 20:07:01.993794 : Epoch  1, Batch   3210, Loss  0.866812, Average Loss  0.871359, Time  0.172741
2021-09-10 20:07:03.561840 : Epoch  1, Batch   3211, Loss  0.873890, Average Loss  0.871451, Time  0.170455
2021-09-10 20:07:05.146024 : Epoch  1, Batch   3212, Loss  0.912579, Average Loss  0.871675, Time  0.174075
2021-09-10 20:07:06.724839 : Epoch  1, Batch   3213, Loss  0.855373, Average Loss  0.871475, Time  0.175256
2021-09-10 20:07:08.317981 : Epoch  1, Batch   3214, Loss  0.876856, Average Loss  0.871590, Time  0.174616
2021-09-10 20:07:09.885755 : Epoch  1, Batch   3215, Loss  0.837077, Average Loss  0.871372, Time  0.180093
2021-09-10 20:07:11.478003 : Epoch  1, Batch   3216, Loss  0.902297, Average Loss  0.871472, Time  0.170231
2021-09-10 20:07:13.042773 : Epoch  1, Batch   3217, Loss  0.858215, Average Loss  0.871354, Time  0.173094
2021-09-10 20:07:14.623040 : Epoch  1, Batch   3218, Loss  0.833971, Average Loss  0.871143, Time  0.173279
2021-09-10 20:07:16.194023 : Epoch  1, Batch   3219, Loss  0.857467, Average Loss  0.871131, Time  0.169808
2021-09-10 20:07:17.798026 : Epoch  1, Batch   3220, Loss  0.912857, Average Loss  0.871357, Time  0.170399
2021-09-10 20:07:19.406795 : Epoch  1, Batch   3221, Loss  0.859957, Average Loss  0.871422, Time  0.174858
2021-09-10 20:07:20.987854 : Epoch  1, Batch   3222, Loss  0.838614, Average Loss  0.871279, Time  0.173717
2021-09-10 20:07:22.559773 : Epoch  1, Batch   3223, Loss  0.875164, Average Loss  0.871260, Time  0.170203
2021-09-10 20:07:24.165029 : Epoch  1, Batch   3224, Loss  0.862139, Average Loss  0.871066, Time  0.173540
2021-09-10 20:07:25.759838 : Epoch  1, Batch   3225, Loss  0.891057, Average Loss  0.871164, Time  0.171028
2021-09-10 20:07:27.359064 : Epoch  1, Batch   3226, Loss  0.851602, Average Loss  0.871041, Time  0.172893
2021-09-10 20:07:28.916876 : Epoch  1, Batch   3227, Loss  0.876909, Average Loss  0.871132, Time  0.175128
2021-09-10 20:07:30.522843 : Epoch  1, Batch   3228, Loss  0.858741, Average Loss  0.871003, Time  0.170122
2021-09-10 20:07:32.137794 : Epoch  1, Batch   3229, Loss  0.840237, Average Loss  0.870809, Time  0.174020
2021-09-10 20:07:33.711034 : Epoch  1, Batch   3230, Loss  0.850700, Average Loss  0.870727, Time  0.170946
2021-09-10 20:07:35.299796 : Epoch  1, Batch   3231, Loss  0.880585, Average Loss  0.870821, Time  0.170613
2021-09-10 20:07:36.877028 : Epoch  1, Batch   3232, Loss  0.888056, Average Loss  0.870894, Time  0.173223
2021-09-10 20:07:38.451794 : Epoch  1, Batch   3233, Loss  0.845600, Average Loss  0.870697, Time  0.170342
2021-09-10 20:07:40.052740 : Epoch  1, Batch   3234, Loss  0.864568, Average Loss  0.870651, Time  0.170215
2021-09-10 20:07:41.659022 : Epoch  1, Batch   3235, Loss  0.837545, Average Loss  0.870653, Time  0.169757
2021-09-10 20:07:43.246829 : Epoch  1, Batch   3236, Loss  0.876945, Average Loss  0.870728, Time  0.170421
2021-09-10 20:07:44.834779 : Epoch  1, Batch   3237, Loss  0.843964, Average Loss  0.870643, Time  0.170095
2021-09-10 20:07:46.466017 : Epoch  1, Batch   3238, Loss  0.840474, Average Loss  0.870506, Time  0.177550
2021-09-10 20:07:48.053841 : Epoch  1, Batch   3239, Loss  0.846371, Average Loss  0.870548, Time  0.170370
2021-09-10 20:07:49.642027 : Epoch  1, Batch   3240, Loss  0.859930, Average Loss  0.870563, Time  0.172187
2021-09-10 20:07:51.229937 : Epoch  1, Batch   3241, Loss  0.862743, Average Loss  0.870476, Time  0.172100
2021-09-10 20:07:52.820031 : Epoch  1, Batch   3242, Loss  0.861219, Average Loss  0.870425, Time  0.171673
2021-09-10 20:07:54.405763 : Epoch  1, Batch   3243, Loss  0.903009, Average Loss  0.870780, Time  0.172510
2021-09-10 20:07:56.003997 : Epoch  1, Batch   3244, Loss  0.839779, Average Loss  0.870591, Time  0.181686
2021-09-10 20:07:57.601809 : Epoch  1, Batch   3245, Loss  0.876890, Average Loss  0.870714, Time  0.183547
2021-09-10 20:07:59.204027 : Epoch  1, Batch   3246, Loss  0.891427, Average Loss  0.870917, Time  0.170454
2021-09-10 20:08:00.804012 : Epoch  1, Batch   3247, Loss  0.889687, Average Loss  0.870919, Time  0.170274
2021-09-10 20:08:02.399915 : Epoch  1, Batch   3248, Loss  0.853622, Average Loss  0.870694, Time  0.170282
2021-09-10 20:08:03.973743 : Epoch  1, Batch   3249, Loss  0.878233, Average Loss  0.870828, Time  0.170172
2021-09-10 20:08:05.552778 : Epoch  1, Batch   3250, Loss  0.872451, Average Loss  0.870912, Time  0.170412
2021-09-10 20:08:07.133019 : Epoch  1, Batch   3251, Loss  0.868885, Average Loss  0.870894, Time  0.174057
2021-09-10 20:08:08.706753 : Epoch  1, Batch   3252, Loss  0.870016, Average Loss  0.870897, Time  0.172415
2021-09-10 20:08:10.279065 : Epoch  1, Batch   3253, Loss  0.828020, Average Loss  0.870695, Time  0.170047
2021-09-10 20:08:11.870869 : Epoch  1, Batch   3254, Loss  0.881759, Average Loss  0.870756, Time  0.181361
2021-09-10 20:08:13.465303 : Epoch  1, Batch   3255, Loss  0.873243, Average Loss  0.870610, Time  0.169980
2021-09-10 20:08:15.064029 : Epoch  1, Batch   3256, Loss  0.817018, Average Loss  0.870306, Time  0.179742
2021-09-10 20:08:16.657989 : Epoch  1, Batch   3257, Loss  0.888949, Average Loss  0.870311, Time  0.173948
2021-09-10 20:08:18.229895 : Epoch  1, Batch   3258, Loss  0.863016, Average Loss  0.870194, Time  0.170446
2021-09-10 20:08:19.821778 : Epoch  1, Batch   3259, Loss  0.897961, Average Loss  0.870307, Time  0.179335
2021-09-10 20:08:21.407771 : Epoch  1, Batch   3260, Loss  0.882427, Average Loss  0.870375, Time  0.172238
2021-09-10 20:08:22.976746 : Epoch  1, Batch   3261, Loss  0.861158, Average Loss  0.870524, Time  0.171038
2021-09-10 20:08:24.558861 : Epoch  1, Batch   3262, Loss  0.903658, Average Loss  0.870784, Time  0.172339
2021-09-10 20:08:26.164757 : Epoch  1, Batch   3263, Loss  0.878939, Average Loss  0.870872, Time  0.176184
2021-09-10 20:08:27.764746 : Epoch  1, Batch   3264, Loss  0.826909, Average Loss  0.870674, Time  0.172572
2021-09-10 20:08:29.363056 : Epoch  1, Batch   3265, Loss  0.874860, Average Loss  0.870675, Time  0.170347
2021-09-10 20:08:30.965101 : Epoch  1, Batch   3266, Loss  0.872346, Average Loss  0.870851, Time  0.172407
2021-09-10 20:08:32.575030 : Epoch  1, Batch   3267, Loss  0.836967, Average Loss  0.870686, Time  0.173236
2021-09-10 20:08:34.188837 : Epoch  1, Batch   3268, Loss  0.874667, Average Loss  0.870661, Time  0.175619
2021-09-10 20:08:35.776735 : Epoch  1, Batch   3269, Loss  0.902014, Average Loss  0.870864, Time  0.169974
2021-09-10 20:08:37.363777 : Epoch  1, Batch   3270, Loss  0.841354, Average Loss  0.870725, Time  0.175918
2021-09-10 20:08:38.960029 : Epoch  1, Batch   3271, Loss  0.890050, Average Loss  0.870910, Time  0.170298
2021-09-10 20:08:40.549055 : Epoch  1, Batch   3272, Loss  0.885945, Average Loss  0.870857, Time  0.177911
2021-09-10 20:08:42.140026 : Epoch  1, Batch   3273, Loss  0.870066, Average Loss  0.870881, Time  0.172969
2021-09-10 20:08:43.746839 : Epoch  1, Batch   3274, Loss  0.876306, Average Loss  0.870780, Time  0.173657
2021-09-10 20:08:45.342904 : Epoch  1, Batch   3275, Loss  0.883301, Average Loss  0.870730, Time  0.172942
2021-09-10 20:08:46.959749 : Epoch  1, Batch   3276, Loss  0.866611, Average Loss  0.870676, Time  0.172567
2021-09-10 20:08:48.558939 : Epoch  1, Batch   3277, Loss  0.876153, Average Loss  0.870752, Time  0.169621
2021-09-10 20:08:50.150028 : Epoch  1, Batch   3278, Loss  0.888741, Average Loss  0.870813, Time  0.179091
2021-09-10 20:08:51.731174 : Epoch  1, Batch   3279, Loss  0.847756, Average Loss  0.870749, Time  0.174809
2021-09-10 20:08:53.295034 : Epoch  1, Batch   3280, Loss  0.854502, Average Loss  0.870723, Time  0.169887
2021-09-10 20:08:54.882864 : Epoch  1, Batch   3281, Loss  0.888536, Average Loss  0.870623, Time  0.171986
2021-09-10 20:08:56.492011 : Epoch  1, Batch   3282, Loss  0.865304, Average Loss  0.870513, Time  0.170166
2021-09-10 20:08:58.073641 : Epoch  1, Batch   3283, Loss  0.857381, Average Loss  0.870363, Time  0.172027
2021-09-10 20:08:59.661775 : Epoch  1, Batch   3284, Loss  0.865807, Average Loss  0.870114, Time  0.169546
2021-09-10 20:09:01.236740 : Epoch  1, Batch   3285, Loss  0.856784, Average Loss  0.870208, Time  0.175668
2021-09-10 20:09:02.832029 : Epoch  1, Batch   3286, Loss  0.872471, Average Loss  0.870268, Time  0.170184
2021-09-10 20:09:04.432824 : Epoch  1, Batch   3287, Loss  0.879386, Average Loss  0.870335, Time  0.173428
2021-09-10 20:09:06.041912 : Epoch  1, Batch   3288, Loss  0.853900, Average Loss  0.870248, Time  0.170097
2021-09-10 20:09:07.613743 : Epoch  1, Batch   3289, Loss  0.881605, Average Loss  0.870308, Time  0.170314
2021-09-10 20:09:09.208793 : Epoch  1, Batch   3290, Loss  0.880866, Average Loss  0.870391, Time  0.169959
2021-09-10 20:09:10.777744 : Epoch  1, Batch   3291, Loss  0.927022, Average Loss  0.870694, Time  0.170605
2021-09-10 20:09:12.369812 : Epoch  1, Batch   3292, Loss  0.908140, Average Loss  0.870893, Time  0.171457
2021-09-10 20:09:13.970032 : Epoch  1, Batch   3293, Loss  0.886346, Average Loss  0.871039, Time  0.169726
2021-09-10 20:09:15.574763 : Epoch  1, Batch   3294, Loss  0.880795, Average Loss  0.871071, Time  0.173583
2021-09-10 20:09:17.190466 : Epoch  1, Batch   3295, Loss  0.850258, Average Loss  0.871033, Time  0.169593
2021-09-10 20:09:18.769767 : Epoch  1, Batch   3296, Loss  0.893551, Average Loss  0.871058, Time  0.171199
2021-09-10 20:09:20.357448 : Epoch  1, Batch   3297, Loss  0.878481, Average Loss  0.871063, Time  0.169795
2021-09-10 20:09:21.925021 : Epoch  1, Batch   3298, Loss  0.879066, Average Loss  0.871194, Time  0.170676
2021-09-10 20:09:23.538798 : Epoch  1, Batch   3299, Loss  0.870834, Average Loss  0.871065, Time  0.175528
2021-09-10 20:09:25.134011 : Epoch  1, Batch   3300, Loss  0.855607, Average Loss  0.871006, Time  0.184332
2021-09-10 20:14:05.239728 : CheckPoint: Validation Loss  0.00060150, Best Loss  0.00058919
2021-09-10 20:14:06.880806 : Epoch  1, Batch   3301, Loss  0.862373, Average Loss  0.871021, Time  0.180036
2021-09-10 20:14:08.452741 : Epoch  1, Batch   3302, Loss  0.868111, Average Loss  0.871090, Time  0.176788
2021-09-10 20:14:10.024738 : Epoch  1, Batch   3303, Loss  0.851179, Average Loss  0.871082, Time  0.172096
2021-09-10 20:14:11.598005 : Epoch  1, Batch   3304, Loss  0.850957, Average Loss  0.870990, Time  0.173246
2021-09-10 20:14:13.183374 : Epoch  1, Batch   3305, Loss  0.853008, Average Loss  0.870873, Time  0.170173
2021-09-10 20:14:14.747021 : Epoch  1, Batch   3306, Loss  0.874865, Average Loss  0.870827, Time  0.175171
2021-09-10 20:14:16.332812 : Epoch  1, Batch   3307, Loss  0.847106, Average Loss  0.870663, Time  0.169824
2021-09-10 20:14:17.942858 : Epoch  1, Batch   3308, Loss  0.892980, Average Loss  0.870740, Time  0.174275
2021-09-10 20:14:19.541909 : Epoch  1, Batch   3309, Loss  0.895547, Average Loss  0.870934, Time  0.169950
2021-09-10 20:14:21.141008 : Epoch  1, Batch   3310, Loss  0.850362, Average Loss  0.870815, Time  0.175961
2021-09-10 20:14:22.712790 : Epoch  1, Batch   3311, Loss  0.882494, Average Loss  0.870852, Time  0.170024
2021-09-10 20:14:24.277882 : Epoch  1, Batch   3312, Loss  0.850033, Average Loss  0.870649, Time  0.170492
2021-09-10 20:14:25.856853 : Epoch  1, Batch   3313, Loss  0.851790, Average Loss  0.870503, Time  0.173530
2021-09-10 20:14:27.471033 : Epoch  1, Batch   3314, Loss  0.885234, Average Loss  0.870594, Time  0.170100
2021-09-10 20:14:29.084739 : Epoch  1, Batch   3315, Loss  0.894987, Average Loss  0.870642, Time  0.184702
2021-09-10 20:14:30.658067 : Epoch  1, Batch   3316, Loss  0.857755, Average Loss  0.870585, Time  0.174121
2021-09-10 20:14:32.239802 : Epoch  1, Batch   3317, Loss  0.870441, Average Loss  0.870595, Time  0.184899
2021-09-10 20:14:33.811043 : Epoch  1, Batch   3318, Loss  0.850793, Average Loss  0.870348, Time  0.173240
2021-09-10 20:14:35.395768 : Epoch  1, Batch   3319, Loss  0.884955, Average Loss  0.870497, Time  0.170012
2021-09-10 20:14:36.974731 : Epoch  1, Batch   3320, Loss  0.858034, Average Loss  0.870408, Time  0.173282
2021-09-10 20:14:38.568833 : Epoch  1, Batch   3321, Loss  0.880256, Average Loss  0.870384, Time  0.170071
2021-09-10 20:14:40.147552 : Epoch  1, Batch   3322, Loss  0.852917, Average Loss  0.870350, Time  0.174691
2021-09-10 20:14:41.743743 : Epoch  1, Batch   3323, Loss  0.896633, Average Loss  0.870484, Time  0.176889
2021-09-10 20:14:43.339765 : Epoch  1, Batch   3324, Loss  0.865769, Average Loss  0.870392, Time  0.171489
2021-09-10 20:14:44.929026 : Epoch  1, Batch   3325, Loss  0.882735, Average Loss  0.870361, Time  0.180976
2021-09-10 20:14:46.552029 : Epoch  1, Batch   3326, Loss  0.848139, Average Loss  0.870274, Time  0.173023
2021-09-10 20:14:48.130028 : Epoch  1, Batch   3327, Loss  0.846192, Average Loss  0.870070, Time  0.170771
2021-09-10 20:14:49.722786 : Epoch  1, Batch   3328, Loss  0.870389, Average Loss  0.870122, Time  0.170329
2021-09-10 20:14:51.316768 : Epoch  1, Batch   3329, Loss  0.874082, Average Loss  0.870198, Time  0.170046
2021-09-10 20:14:52.917829 : Epoch  1, Batch   3330, Loss  0.871963, Average Loss  0.870136, Time  0.175636
2021-09-10 20:14:54.558762 : Epoch  1, Batch   3331, Loss  0.828392, Average Loss  0.869791, Time  0.173045
2021-09-10 20:14:56.165848 : Epoch  1, Batch   3332, Loss  0.872284, Average Loss  0.870029, Time  0.169858
2021-09-10 20:14:57.762853 : Epoch  1, Batch   3333, Loss  0.839699, Average Loss  0.869806, Time  0.170694
2021-09-10 20:14:59.387850 : Epoch  1, Batch   3334, Loss  0.859930, Average Loss  0.869500, Time  0.172994
2021-09-10 20:15:00.997835 : Epoch  1, Batch   3335, Loss  0.899313, Average Loss  0.869778, Time  0.176307
2021-09-10 20:15:02.646030 : Epoch  1, Batch   3336, Loss  0.892857, Average Loss  0.869809, Time  0.176232
2021-09-10 20:15:04.267797 : Epoch  1, Batch   3337, Loss  0.891211, Average Loss  0.869986, Time  0.173400
2021-09-10 20:15:05.870755 : Epoch  1, Batch   3338, Loss  0.867782, Average Loss  0.869901, Time  0.169796
2021-09-10 20:15:07.474848 : Epoch  1, Batch   3339, Loss  0.863753, Average Loss  0.869993, Time  0.170247
2021-09-10 20:15:09.043428 : Epoch  1, Batch   3340, Loss  0.883954, Average Loss  0.870205, Time  0.171723
2021-09-10 20:15:10.615533 : Epoch  1, Batch   3341, Loss  0.868624, Average Loss  0.870160, Time  0.170388
2021-09-10 20:15:12.186922 : Epoch  1, Batch   3342, Loss  0.871765, Average Loss  0.870103, Time  0.177552
2021-09-10 20:15:13.775031 : Epoch  1, Batch   3343, Loss  0.859289, Average Loss  0.870037, Time  0.178100
2021-09-10 20:15:15.384821 : Epoch  1, Batch   3344, Loss  0.875789, Average Loss  0.869995, Time  0.169665
2021-09-10 20:15:16.981778 : Epoch  1, Batch   3345, Loss  0.895591, Average Loss  0.870098, Time  0.172575
2021-09-10 20:15:18.587040 : Epoch  1, Batch   3346, Loss  0.811917, Average Loss  0.869948, Time  0.175538
2021-09-10 20:15:20.175025 : Epoch  1, Batch   3347, Loss  0.856835, Average Loss  0.869882, Time  0.177862
2021-09-10 20:15:21.766780 : Epoch  1, Batch   3348, Loss  0.873243, Average Loss  0.869963, Time  0.170895
2021-09-10 20:15:23.341035 : Epoch  1, Batch   3349, Loss  0.860490, Average Loss  0.869874, Time  0.173276
2021-09-10 20:15:24.932878 : Epoch  1, Batch   3350, Loss  0.856532, Average Loss  0.869814, Time  0.174978
2021-09-10 20:15:26.512831 : Epoch  1, Batch   3351, Loss  0.874150, Average Loss  0.869908, Time  0.169539
2021-09-10 20:15:28.092796 : Epoch  1, Batch   3352, Loss  0.878803, Average Loss  0.869862, Time  0.176172
2021-09-10 20:15:29.674913 : Epoch  1, Batch   3353, Loss  0.865374, Average Loss  0.869889, Time  0.169874
2021-09-10 20:15:31.266034 : Epoch  1, Batch   3354, Loss  0.845246, Average Loss  0.869728, Time  0.169634
2021-09-10 20:15:32.860024 : Epoch  1, Batch   3355, Loss  0.860133, Average Loss  0.869708, Time  0.169777
2021-09-10 20:15:34.455028 : Epoch  1, Batch   3356, Loss  0.907447, Average Loss  0.870003, Time  0.170444
2021-09-10 20:15:36.084953 : Epoch  1, Batch   3357, Loss  0.861127, Average Loss  0.869805, Time  0.174059
2021-09-10 20:15:37.680936 : Epoch  1, Batch   3358, Loss  0.865839, Average Loss  0.869705, Time  0.176511
2021-09-10 20:15:39.273034 : Epoch  1, Batch   3359, Loss  0.866627, Average Loss  0.869709, Time  0.174738
2021-09-10 20:15:40.879764 : Epoch  1, Batch   3360, Loss  0.867297, Average Loss  0.869718, Time  0.169899
2021-09-10 20:15:42.459030 : Epoch  1, Batch   3361, Loss  0.862131, Average Loss  0.869668, Time  0.171548
2021-09-10 20:15:44.073816 : Epoch  1, Batch   3362, Loss  0.879006, Average Loss  0.869764, Time  0.178580
2021-09-10 20:15:45.666783 : Epoch  1, Batch   3363, Loss  0.864751, Average Loss  0.869700, Time  0.170481
2021-09-10 20:15:47.275813 : Epoch  1, Batch   3364, Loss  0.886940, Average Loss  0.869753, Time  0.176140
2021-09-10 20:15:48.861746 : Epoch  1, Batch   3365, Loss  0.853697, Average Loss  0.869727, Time  0.170183
2021-09-10 20:15:50.455804 : Epoch  1, Batch   3366, Loss  0.889282, Average Loss  0.869810, Time  0.169868
2021-09-10 20:15:52.054732 : Epoch  1, Batch   3367, Loss  0.845717, Average Loss  0.869543, Time  0.169555
2021-09-10 20:15:53.625415 : Epoch  1, Batch   3368, Loss  0.862071, Average Loss  0.869449, Time  0.170244
2021-09-10 20:15:55.228892 : Epoch  1, Batch   3369, Loss  0.836295, Average Loss  0.869280, Time  0.173617
2021-09-10 20:15:56.824869 : Epoch  1, Batch   3370, Loss  0.867456, Average Loss  0.869184, Time  0.174320
2021-09-10 20:15:58.412169 : Epoch  1, Batch   3371, Loss  0.839963, Average Loss  0.868981, Time  0.171478
2021-09-10 20:16:00.013024 : Epoch  1, Batch   3372, Loss  0.889531, Average Loss  0.869133, Time  0.173979
2021-09-10 20:16:01.616764 : Epoch  1, Batch   3373, Loss  0.871051, Average Loss  0.869178, Time  0.170891
2021-09-10 20:16:03.208544 : Epoch  1, Batch   3374, Loss  0.858874, Average Loss  0.869145, Time  0.170577
2021-09-10 20:16:04.793802 : Epoch  1, Batch   3375, Loss  0.879761, Average Loss  0.869227, Time  0.174340
2021-09-10 20:16:06.426986 : Epoch  1, Batch   3376, Loss  0.845795, Average Loss  0.869100, Time  0.175181
2021-09-10 20:16:08.031756 : Epoch  1, Batch   3377, Loss  0.849375, Average Loss  0.868958, Time  0.178380
2021-09-10 20:16:09.640751 : Epoch  1, Batch   3378, Loss  0.881266, Average Loss  0.868972, Time  0.181832
2021-09-10 20:16:11.236964 : Epoch  1, Batch   3379, Loss  0.847825, Average Loss  0.868994, Time  0.169945
2021-09-10 20:16:12.815740 : Epoch  1, Batch   3380, Loss  0.856469, Average Loss  0.868896, Time  0.176375
2021-09-10 20:16:14.408782 : Epoch  1, Batch   3381, Loss  0.881449, Average Loss  0.868960, Time  0.179290
2021-09-10 20:16:16.008775 : Epoch  1, Batch   3382, Loss  0.867971, Average Loss  0.868841, Time  0.172093
2021-09-10 20:16:17.597743 : Epoch  1, Batch   3383, Loss  0.877819, Average Loss  0.868841, Time  0.171229
2021-09-10 20:16:19.169117 : Epoch  1, Batch   3384, Loss  0.875538, Average Loss  0.868914, Time  0.170076
2021-09-10 20:16:20.764025 : Epoch  1, Batch   3385, Loss  0.854195, Average Loss  0.868938, Time  0.181592
2021-09-10 20:16:22.360028 : Epoch  1, Batch   3386, Loss  0.875575, Average Loss  0.868872, Time  0.185799
2021-09-10 20:16:23.955767 : Epoch  1, Batch   3387, Loss  0.873302, Average Loss  0.868847, Time  0.176565
2021-09-10 20:16:25.552026 : Epoch  1, Batch   3388, Loss  0.879472, Average Loss  0.868893, Time  0.177933
2021-09-10 20:16:27.194022 : Epoch  1, Batch   3389, Loss  0.862866, Average Loss  0.868653, Time  0.194035
2021-09-10 20:16:28.777861 : Epoch  1, Batch   3390, Loss  0.921817, Average Loss  0.868977, Time  0.176713
2021-09-10 20:16:30.411028 : Epoch  1, Batch   3391, Loss  0.850750, Average Loss  0.868826, Time  0.174305
2021-09-10 20:16:32.018865 : Epoch  1, Batch   3392, Loss  0.891815, Average Loss  0.868894, Time  0.171879
2021-09-10 20:16:33.617025 : Epoch  1, Batch   3393, Loss  0.881205, Average Loss  0.868838, Time  0.172391
2021-09-10 20:16:35.216770 : Epoch  1, Batch   3394, Loss  0.845457, Average Loss  0.868596, Time  0.171005
2021-09-10 20:16:36.810038 : Epoch  1, Batch   3395, Loss  0.851506, Average Loss  0.868578, Time  0.176240
2021-09-10 20:16:38.411830 : Epoch  1, Batch   3396, Loss  0.868614, Average Loss  0.868637, Time  0.178816
2021-09-10 20:16:40.008778 : Epoch  1, Batch   3397, Loss  0.882607, Average Loss  0.868779, Time  0.170709
2021-09-10 20:16:41.607747 : Epoch  1, Batch   3398, Loss  0.874751, Average Loss  0.868774, Time  0.172827
2021-09-10 20:16:43.203024 : Epoch  1, Batch   3399, Loss  0.884220, Average Loss  0.868825, Time  0.170409
2021-09-10 20:16:44.804022 : Epoch  1, Batch   3400, Loss  0.865038, Average Loss  0.868881, Time  0.178178
2021-09-10 20:21:24.074737 : CheckPoint: Validation Loss  0.00060601, Best Loss  0.00058919
2021-09-10 20:21:25.688956 : Epoch  1, Batch   3401, Loss  0.896227, Average Loss  0.869022, Time  0.178726
2021-09-10 20:21:27.273749 : Epoch  1, Batch   3402, Loss  0.862992, Average Loss  0.868964, Time  0.170522
2021-09-10 20:21:28.854758 : Epoch  1, Batch   3403, Loss  0.861446, Average Loss  0.868929, Time  0.174639
2021-09-10 20:21:30.437779 : Epoch  1, Batch   3404, Loss  0.885080, Average Loss  0.869178, Time  0.169558
2021-09-10 20:21:32.035670 : Epoch  1, Batch   3405, Loss  0.850820, Average Loss  0.869016, Time  0.173633
2021-09-10 20:21:33.637023 : Epoch  1, Batch   3406, Loss  0.877077, Average Loss  0.868931, Time  0.173713
2021-09-10 20:21:35.219793 : Epoch  1, Batch   3407, Loss  0.874388, Average Loss  0.868907, Time  0.170282
2021-09-10 20:21:36.809618 : Epoch  1, Batch   3408, Loss  0.856508, Average Loss  0.868735, Time  0.170347
2021-09-10 20:21:38.397022 : Epoch  1, Batch   3409, Loss  0.881202, Average Loss  0.868718, Time  0.170198
2021-09-10 20:21:40.059771 : Epoch  1, Batch   3410, Loss  0.877071, Average Loss  0.868770, Time  0.170462
2021-09-10 20:21:41.674698 : Epoch  1, Batch   3411, Loss  0.884626, Average Loss  0.868823, Time  0.186122
2021-09-10 20:21:43.269023 : Epoch  1, Batch   3412, Loss  0.875342, Average Loss  0.868637, Time  0.175743
2021-09-10 20:21:44.861962 : Epoch  1, Batch   3413, Loss  0.863114, Average Loss  0.868676, Time  0.170533
2021-09-10 20:21:46.452827 : Epoch  1, Batch   3414, Loss  0.869669, Average Loss  0.868640, Time  0.170475
2021-09-10 20:21:48.070009 : Epoch  1, Batch   3415, Loss  0.860208, Average Loss  0.868756, Time  0.175559
2021-09-10 20:21:49.694761 : Epoch  1, Batch   3416, Loss  0.869954, Average Loss  0.868594, Time  0.169982
2021-09-10 20:21:51.305020 : Epoch  1, Batch   3417, Loss  0.871119, Average Loss  0.868658, Time  0.169995
2021-09-10 20:21:52.902858 : Epoch  1, Batch   3418, Loss  0.846907, Average Loss  0.868723, Time  0.170142
2021-09-10 20:21:54.543026 : Epoch  1, Batch   3419, Loss  0.876932, Average Loss  0.868820, Time  0.172753
2021-09-10 20:21:56.154023 : Epoch  1, Batch   3420, Loss  0.854375, Average Loss  0.868528, Time  0.173281
2021-09-10 20:21:57.768750 : Epoch  1, Batch   3421, Loss  0.890091, Average Loss  0.868679, Time  0.169965
2021-09-10 20:21:59.378034 : Epoch  1, Batch   3422, Loss  0.864514, Average Loss  0.868808, Time  0.178885
2021-09-10 20:22:00.987019 : Epoch  1, Batch   3423, Loss  0.883258, Average Loss  0.868849, Time  0.172588
2021-09-10 20:22:02.583794 : Epoch  1, Batch   3424, Loss  0.877079, Average Loss  0.868923, Time  0.171788
2021-09-10 20:22:04.175770 : Epoch  1, Batch   3425, Loss  0.878452, Average Loss  0.868860, Time  0.170409
2021-09-10 20:22:05.769987 : Epoch  1, Batch   3426, Loss  0.874300, Average Loss  0.868974, Time  0.170924
2021-09-10 20:22:07.380857 : Epoch  1, Batch   3427, Loss  0.870677, Average Loss  0.868943, Time  0.180034
2021-09-10 20:22:08.985648 : Epoch  1, Batch   3428, Loss  0.845858, Average Loss  0.868878, Time  0.172875
2021-09-10 20:22:10.564802 : Epoch  1, Batch   3429, Loss  0.889458, Average Loss  0.869124, Time  0.174352
2021-09-10 20:22:12.137626 : Epoch  1, Batch   3430, Loss  0.853256, Average Loss  0.869137, Time  0.174242
2021-09-10 20:22:13.711078 : Epoch  1, Batch   3431, Loss  0.890519, Average Loss  0.869187, Time  0.170476
2021-09-10 20:22:15.286836 : Epoch  1, Batch   3432, Loss  0.869765, Average Loss  0.869095, Time  0.170952
2021-09-10 20:22:16.867837 : Epoch  1, Batch   3433, Loss  0.875142, Average Loss  0.869243, Time  0.173513
2021-09-10 20:22:18.456789 : Epoch  1, Batch   3434, Loss  0.857053, Average Loss  0.869205, Time  0.174293
2021-09-10 20:22:20.030019 : Epoch  1, Batch   3435, Loss  0.853731, Average Loss  0.869286, Time  0.170439
2021-09-10 20:22:21.628754 : Epoch  1, Batch   3436, Loss  0.822338, Average Loss  0.869013, Time  0.175774
2021-09-10 20:22:23.218872 : Epoch  1, Batch   3437, Loss  0.896704, Average Loss  0.869277, Time  0.172917
2021-09-10 20:22:24.813044 : Epoch  1, Batch   3438, Loss  0.874359, Average Loss  0.869447, Time  0.170066
2021-09-10 20:22:26.449805 : Epoch  1, Batch   3439, Loss  0.860433, Average Loss  0.869517, Time  0.174590
2021-09-10 20:22:28.050793 : Epoch  1, Batch   3440, Loss  0.867009, Average Loss  0.869552, Time  0.169552
2021-09-10 20:22:29.664018 : Epoch  1, Batch   3441, Loss  0.819305, Average Loss  0.869335, Time  0.176884
2021-09-10 20:22:31.240781 : Epoch  1, Batch   3442, Loss  0.870641, Average Loss  0.869382, Time  0.174647
2021-09-10 20:22:32.826739 : Epoch  1, Batch   3443, Loss  0.861023, Average Loss  0.869172, Time  0.177079
2021-09-10 20:22:34.399990 : Epoch  1, Batch   3444, Loss  0.881156, Average Loss  0.869379, Time  0.171275
2021-09-10 20:22:35.984840 : Epoch  1, Batch   3445, Loss  0.864201, Average Loss  0.869316, Time  0.169834
2021-09-10 20:22:37.570925 : Epoch  1, Batch   3446, Loss  0.858419, Average Loss  0.869151, Time  0.173270
2021-09-10 20:22:39.162795 : Epoch  1, Batch   3447, Loss  0.874093, Average Loss  0.869073, Time  0.170501
2021-09-10 20:22:40.749343 : Epoch  1, Batch   3448, Loss  0.853271, Average Loss  0.869071, Time  0.169774
2021-09-10 20:22:42.338837 : Epoch  1, Batch   3449, Loss  0.880604, Average Loss  0.869083, Time  0.180570
2021-09-10 20:22:43.929924 : Epoch  1, Batch   3450, Loss  0.872019, Average Loss  0.869081, Time  0.170132
2021-09-10 20:22:45.511525 : Epoch  1, Batch   3451, Loss  0.882335, Average Loss  0.869148, Time  0.172090
2021-09-10 20:22:47.106784 : Epoch  1, Batch   3452, Loss  0.886236, Average Loss  0.869229, Time  0.173483
2021-09-10 20:22:48.703026 : Epoch  1, Batch   3453, Loss  0.843930, Average Loss  0.869308, Time  0.175811
2021-09-10 20:22:50.302846 : Epoch  1, Batch   3454, Loss  0.872765, Average Loss  0.869264, Time  0.170137
2021-09-10 20:22:51.909764 : Epoch  1, Batch   3455, Loss  0.843144, Average Loss  0.869113, Time  0.174052
2021-09-10 20:22:53.507735 : Epoch  1, Batch   3456, Loss  0.852869, Average Loss  0.869292, Time  0.176364
2021-09-10 20:22:55.112069 : Epoch  1, Batch   3457, Loss  0.872308, Average Loss  0.869209, Time  0.179440
2021-09-10 20:22:56.699834 : Epoch  1, Batch   3458, Loss  0.888387, Average Loss  0.869336, Time  0.170272
2021-09-10 20:22:58.289820 : Epoch  1, Batch   3459, Loss  0.858795, Average Loss  0.869140, Time  0.171502
2021-09-10 20:22:59.872786 : Epoch  1, Batch   3460, Loss  0.866249, Average Loss  0.869059, Time  0.172748
2021-09-10 20:23:01.465761 : Epoch  1, Batch   3461, Loss  0.848701, Average Loss  0.868997, Time  0.173943
2021-09-10 20:23:03.046757 : Epoch  1, Batch   3462, Loss  0.877637, Average Loss  0.868867, Time  0.169811
2021-09-10 20:23:04.642022 : Epoch  1, Batch   3463, Loss  0.895784, Average Loss  0.868951, Time  0.170536
2021-09-10 20:23:06.229820 : Epoch  1, Batch   3464, Loss  0.867180, Average Loss  0.869152, Time  0.172256
2021-09-10 20:23:07.835038 : Epoch  1, Batch   3465, Loss  0.898114, Average Loss  0.869269, Time  0.176323
2021-09-10 20:23:09.454866 : Epoch  1, Batch   3466, Loss  0.861229, Average Loss  0.869213, Time  0.173040
2021-09-10 20:23:11.051744 : Epoch  1, Batch   3467, Loss  0.900105, Average Loss  0.869529, Time  0.172780
2021-09-10 20:23:12.647757 : Epoch  1, Batch   3468, Loss  0.890931, Average Loss  0.869610, Time  0.173726
2021-09-10 20:23:14.246797 : Epoch  1, Batch   3469, Loss  0.865619, Average Loss  0.869428, Time  0.177976
2021-09-10 20:23:15.828028 : Epoch  1, Batch   3470, Loss  0.875176, Average Loss  0.869597, Time  0.169526
2021-09-10 20:23:17.423837 : Epoch  1, Batch   3471, Loss  0.870629, Average Loss  0.869500, Time  0.172371
2021-09-10 20:23:19.019762 : Epoch  1, Batch   3472, Loss  0.860773, Average Loss  0.869374, Time  0.173454
2021-09-10 20:23:20.606031 : Epoch  1, Batch   3473, Loss  0.893483, Average Loss  0.869491, Time  0.172825
2021-09-10 20:23:22.203769 : Epoch  1, Batch   3474, Loss  0.854038, Average Loss  0.869380, Time  0.171134
2021-09-10 20:23:23.798019 : Epoch  1, Batch   3475, Loss  0.864178, Average Loss  0.869284, Time  0.170074
2021-09-10 20:23:25.444731 : Epoch  1, Batch   3476, Loss  0.851629, Average Loss  0.869209, Time  0.177170
2021-09-10 20:23:27.057867 : Epoch  1, Batch   3477, Loss  0.867828, Average Loss  0.869168, Time  0.178833
2021-09-10 20:23:28.647836 : Epoch  1, Batch   3478, Loss  0.886835, Average Loss  0.869158, Time  0.172619
2021-09-10 20:23:30.240777 : Epoch  1, Batch   3479, Loss  0.909546, Average Loss  0.869467, Time  0.169981
2021-09-10 20:23:31.850020 : Epoch  1, Batch   3480, Loss  0.845366, Average Loss  0.869422, Time  0.178169
2021-09-10 20:23:33.453750 : Epoch  1, Batch   3481, Loss  0.858039, Average Loss  0.869269, Time  0.175968
2021-09-10 20:23:35.081872 : Epoch  1, Batch   3482, Loss  0.859154, Average Loss  0.869238, Time  0.174010
2021-09-10 20:23:36.685042 : Epoch  1, Batch   3483, Loss  0.898164, Average Loss  0.869442, Time  0.173378
2021-09-10 20:23:38.279051 : Epoch  1, Batch   3484, Loss  0.876555, Average Loss  0.869496, Time  0.170217
2021-09-10 20:23:39.867376 : Epoch  1, Batch   3485, Loss  0.875244, Average Loss  0.869588, Time  0.169749
2021-09-10 20:23:41.438763 : Epoch  1, Batch   3486, Loss  0.859558, Average Loss  0.869524, Time  0.172717
2021-09-10 20:23:43.051826 : Epoch  1, Batch   3487, Loss  0.879468, Average Loss  0.869524, Time  0.172310
2021-09-10 20:23:44.639817 : Epoch  1, Batch   3488, Loss  0.859500, Average Loss  0.869552, Time  0.170120
2021-09-10 20:23:46.266666 : Epoch  1, Batch   3489, Loss  0.882647, Average Loss  0.869557, Time  0.169779
2021-09-10 20:23:47.872935 : Epoch  1, Batch   3490, Loss  0.864204, Average Loss  0.869474, Time  0.170337
2021-09-10 20:23:49.500867 : Epoch  1, Batch   3491, Loss  0.863430, Average Loss  0.869156, Time  0.172894
2021-09-10 20:23:51.114048 : Epoch  1, Batch   3492, Loss  0.902566, Average Loss  0.869128, Time  0.172107
2021-09-10 20:23:52.693047 : Epoch  1, Batch   3493, Loss  0.851178, Average Loss  0.868952, Time  0.175307
2021-09-10 20:23:54.287746 : Epoch  1, Batch   3494, Loss  0.889277, Average Loss  0.868995, Time  0.170103
2021-09-10 20:23:55.881753 : Epoch  1, Batch   3495, Loss  0.856512, Average Loss  0.869026, Time  0.170099
2021-09-10 20:23:57.478785 : Epoch  1, Batch   3496, Loss  0.876629, Average Loss  0.868941, Time  0.169777
2021-09-10 20:23:59.068736 : Epoch  1, Batch   3497, Loss  0.843793, Average Loss  0.868768, Time  0.178006
2021-09-10 20:24:00.652920 : Epoch  1, Batch   3498, Loss  0.875218, Average Loss  0.868749, Time  0.176228
2021-09-10 20:24:02.273081 : Epoch  1, Batch   3499, Loss  0.876983, Average Loss  0.868780, Time  0.176529
2021-09-10 20:24:03.871749 : Epoch  1, Batch   3500, Loss  0.867610, Average Loss  0.868840, Time  0.173701
2021-09-10 20:28:43.063725 : CheckPoint: Validation Loss  0.00059798, Best Loss  0.00058919
2021-09-10 20:28:44.686943 : Epoch  1, Batch   3501, Loss  0.877617, Average Loss  0.868916, Time  0.177349
2021-09-10 20:28:46.266737 : Epoch  1, Batch   3502, Loss  0.864417, Average Loss  0.868897, Time  0.175484
2021-09-10 20:28:47.853862 : Epoch  1, Batch   3503, Loss  0.865930, Average Loss  0.868971, Time  0.171514
2021-09-10 20:28:49.471796 : Epoch  1, Batch   3504, Loss  0.854092, Average Loss  0.868987, Time  0.176470
2021-09-10 20:28:51.063988 : Epoch  1, Batch   3505, Loss  0.853691, Average Loss  0.868990, Time  0.173803
2021-09-10 20:28:52.642886 : Epoch  1, Batch   3506, Loss  0.879788, Average Loss  0.869015, Time  0.173761
2021-09-10 20:28:54.221053 : Epoch  1, Batch   3507, Loss  0.856436, Average Loss  0.869061, Time  0.173662
2021-09-10 20:28:55.799786 : Epoch  1, Batch   3508, Loss  0.850664, Average Loss  0.868850, Time  0.170778
2021-09-10 20:28:57.391028 : Epoch  1, Batch   3509, Loss  0.853841, Average Loss  0.868641, Time  0.172613
2021-09-10 20:28:58.981735 : Epoch  1, Batch   3510, Loss  0.885087, Average Loss  0.868815, Time  0.175912
2021-09-10 20:29:00.590012 : Epoch  1, Batch   3511, Loss  0.827916, Average Loss  0.868542, Time  0.169695
2021-09-10 20:29:02.202806 : Epoch  1, Batch   3512, Loss  0.872595, Average Loss  0.868655, Time  0.170549
2021-09-10 20:29:03.791761 : Epoch  1, Batch   3513, Loss  0.891148, Average Loss  0.868852, Time  0.170073
2021-09-10 20:29:05.388068 : Epoch  1, Batch   3514, Loss  0.887494, Average Loss  0.868863, Time  0.179313
2021-09-10 20:29:06.978045 : Epoch  1, Batch   3515, Loss  0.874816, Average Loss  0.868762, Time  0.170072
2021-09-10 20:29:08.586031 : Epoch  1, Batch   3516, Loss  0.884407, Average Loss  0.868895, Time  0.178596
2021-09-10 20:29:10.197025 : Epoch  1, Batch   3517, Loss  0.869941, Average Loss  0.868893, Time  0.179834
2021-09-10 20:29:11.808017 : Epoch  1, Batch   3518, Loss  0.856471, Average Loss  0.868921, Time  0.179220
2021-09-10 20:29:13.409749 : Epoch  1, Batch   3519, Loss  0.853627, Average Loss  0.868765, Time  0.170286
2021-09-10 20:29:15.023031 : Epoch  1, Batch   3520, Loss  0.890600, Average Loss  0.868927, Time  0.172117
2021-09-10 20:29:16.618071 : Epoch  1, Batch   3521, Loss  0.884754, Average Loss  0.868950, Time  0.170348
2021-09-10 20:29:18.221066 : Epoch  1, Batch   3522, Loss  0.889282, Average Loss  0.869132, Time  0.172253
2021-09-10 20:29:19.830048 : Epoch  1, Batch   3523, Loss  0.866208, Average Loss  0.868980, Time  0.174492
2021-09-10 20:29:21.439041 : Epoch  1, Batch   3524, Loss  0.866476, Average Loss  0.868983, Time  0.169818
2021-09-10 20:29:23.042764 : Epoch  1, Batch   3525, Loss  0.870377, Average Loss  0.868921, Time  0.173440
2021-09-10 20:29:24.673033 : Epoch  1, Batch   3526, Loss  0.891977, Average Loss  0.869141, Time  0.172553
2021-09-10 20:29:26.274863 : Epoch  1, Batch   3527, Loss  0.866125, Average Loss  0.869240, Time  0.172847
2021-09-10 20:29:27.875935 : Epoch  1, Batch   3528, Loss  0.871187, Average Loss  0.869244, Time  0.170152
2021-09-10 20:29:29.488776 : Epoch  1, Batch   3529, Loss  0.850378, Average Loss  0.869126, Time  0.173010
2021-09-10 20:29:31.088836 : Epoch  1, Batch   3530, Loss  0.843781, Average Loss  0.868985, Time  0.170428
2021-09-10 20:29:32.690747 : Epoch  1, Batch   3531, Loss  0.882807, Average Loss  0.869257, Time  0.173361
2021-09-10 20:29:34.280929 : Epoch  1, Batch   3532, Loss  0.843908, Average Loss  0.869115, Time  0.175117
2021-09-10 20:29:35.876041 : Epoch  1, Batch   3533, Loss  0.847542, Average Loss  0.869154, Time  0.170758
2021-09-10 20:29:37.478763 : Epoch  1, Batch   3534, Loss  0.872707, Average Loss  0.869218, Time  0.169775
2021-09-10 20:29:39.091023 : Epoch  1, Batch   3535, Loss  0.849298, Average Loss  0.868968, Time  0.173964
2021-09-10 20:29:40.682754 : Epoch  1, Batch   3536, Loss  0.845796, Average Loss  0.868733, Time  0.170670
2021-09-10 20:29:42.293029 : Epoch  1, Batch   3537, Loss  0.890487, Average Loss  0.868729, Time  0.171040
2021-09-10 20:29:43.885072 : Epoch  1, Batch   3538, Loss  0.836905, Average Loss  0.868575, Time  0.173504
2021-09-10 20:29:45.496757 : Epoch  1, Batch   3539, Loss  0.844689, Average Loss  0.868479, Time  0.176704
2021-09-10 20:29:47.104016 : Epoch  1, Batch   3540, Loss  0.847338, Average Loss  0.868296, Time  0.172645
2021-09-10 20:29:48.685991 : Epoch  1, Batch   3541, Loss  0.863013, Average Loss  0.868268, Time  0.171287
2021-09-10 20:29:50.286034 : Epoch  1, Batch   3542, Loss  0.862063, Average Loss  0.868220, Time  0.170515
2021-09-10 20:29:51.889921 : Epoch  1, Batch   3543, Loss  0.878504, Average Loss  0.868316, Time  0.174891
2021-09-10 20:29:53.472669 : Epoch  1, Batch   3544, Loss  0.892105, Average Loss  0.868397, Time  0.170075
2021-09-10 20:29:55.057858 : Epoch  1, Batch   3545, Loss  0.867002, Average Loss  0.868254, Time  0.173574
2021-09-10 20:29:56.652865 : Epoch  1, Batch   3546, Loss  0.850563, Average Loss  0.868448, Time  0.173804
2021-09-10 20:29:58.254836 : Epoch  1, Batch   3547, Loss  0.840128, Average Loss  0.868364, Time  0.169933
2021-09-10 20:29:59.863724 : Epoch  1, Batch   3548, Loss  0.842285, Average Loss  0.868209, Time  0.170828
2021-09-10 20:30:01.453013 : Epoch  1, Batch   3549, Loss  0.872901, Average Loss  0.868271, Time  0.170396
2021-09-10 20:30:03.036752 : Epoch  1, Batch   3550, Loss  0.890500, Average Loss  0.868441, Time  0.174520
2021-09-10 20:30:04.618789 : Epoch  1, Batch   3551, Loss  0.882145, Average Loss  0.868481, Time  0.173675
2021-09-10 20:30:06.198153 : Epoch  1, Batch   3552, Loss  0.888775, Average Loss  0.868531, Time  0.170782
2021-09-10 20:30:07.805741 : Epoch  1, Batch   3553, Loss  0.896057, Average Loss  0.868684, Time  0.172636
2021-09-10 20:30:09.407824 : Epoch  1, Batch   3554, Loss  0.861337, Average Loss  0.868765, Time  0.172816
2021-09-10 20:30:10.998051 : Epoch  1, Batch   3555, Loss  0.893043, Average Loss  0.868929, Time  0.170547
2021-09-10 20:30:12.594020 : Epoch  1, Batch   3556, Loss  0.870985, Average Loss  0.868747, Time  0.169554
2021-09-10 20:30:14.203019 : Epoch  1, Batch   3557, Loss  0.864502, Average Loss  0.868764, Time  0.170197
2021-09-10 20:30:15.796828 : Epoch  1, Batch   3558, Loss  0.890362, Average Loss  0.868887, Time  0.173801
2021-09-10 20:30:17.410811 : Epoch  1, Batch   3559, Loss  0.871440, Average Loss  0.868911, Time  0.181546
2021-09-10 20:30:19.000799 : Epoch  1, Batch   3560, Loss  0.862179, Average Loss  0.868885, Time  0.171206
2021-09-10 20:30:20.609069 : Epoch  1, Batch   3561, Loss  0.879914, Average Loss  0.868974, Time  0.170114
2021-09-10 20:30:22.197826 : Epoch  1, Batch   3562, Loss  0.875662, Average Loss  0.868957, Time  0.172459
2021-09-10 20:30:23.790774 : Epoch  1, Batch   3563, Loss  0.885313, Average Loss  0.869060, Time  0.173142
2021-09-10 20:30:25.394727 : Epoch  1, Batch   3564, Loss  0.834394, Average Loss  0.868797, Time  0.172650
2021-09-10 20:30:26.987833 : Epoch  1, Batch   3565, Loss  0.887711, Average Loss  0.868967, Time  0.170224
2021-09-10 20:30:28.575907 : Epoch  1, Batch   3566, Loss  0.858309, Average Loss  0.868813, Time  0.170850
2021-09-10 20:30:30.210018 : Epoch  1, Batch   3567, Loss  0.913987, Average Loss  0.869154, Time  0.170236
2021-09-10 20:30:31.830806 : Epoch  1, Batch   3568, Loss  0.859384, Average Loss  0.869141, Time  0.174759
2021-09-10 20:30:33.403827 : Epoch  1, Batch   3569, Loss  0.879106, Average Loss  0.869355, Time  0.169363
2021-09-10 20:30:35.010027 : Epoch  1, Batch   3570, Loss  0.844488, Average Loss  0.869240, Time  0.173420
2021-09-10 20:30:36.608826 : Epoch  1, Batch   3571, Loss  0.843224, Average Loss  0.869256, Time  0.177837
2021-09-10 20:30:38.196752 : Epoch  1, Batch   3572, Loss  0.884139, Average Loss  0.869229, Time  0.172994
2021-09-10 20:30:39.789913 : Epoch  1, Batch   3573, Loss  0.867351, Average Loss  0.869211, Time  0.173035
2021-09-10 20:30:41.392902 : Epoch  1, Batch   3574, Loss  0.885133, Average Loss  0.869342, Time  0.173779
2021-09-10 20:30:43.011028 : Epoch  1, Batch   3575, Loss  0.831710, Average Loss  0.869102, Time  0.170759
2021-09-10 20:30:44.669749 : Epoch  1, Batch   3576, Loss  0.882399, Average Loss  0.869285, Time  0.171503
2021-09-10 20:30:46.280024 : Epoch  1, Batch   3577, Loss  0.862389, Average Loss  0.869350, Time  0.171659
2021-09-10 20:30:47.916861 : Epoch  1, Batch   3578, Loss  0.875688, Average Loss  0.869322, Time  0.173539
2021-09-10 20:30:49.523023 : Epoch  1, Batch   3579, Loss  0.868296, Average Loss  0.869424, Time  0.173618
2021-09-10 20:30:51.125752 : Epoch  1, Batch   3580, Loss  0.890569, Average Loss  0.869595, Time  0.182163
2021-09-10 20:30:52.737736 : Epoch  1, Batch   3581, Loss  0.896627, Average Loss  0.869671, Time  0.170911
2021-09-10 20:30:54.322503 : Epoch  1, Batch   3582, Loss  0.873214, Average Loss  0.869697, Time  0.170536
2021-09-10 20:30:55.901694 : Epoch  1, Batch   3583, Loss  0.868583, Average Loss  0.869651, Time  0.173743
2021-09-10 20:30:57.502761 : Epoch  1, Batch   3584, Loss  0.847623, Average Loss  0.869511, Time  0.170411
2021-09-10 20:30:59.102766 : Epoch  1, Batch   3585, Loss  0.853008, Average Loss  0.869505, Time  0.172051
2021-09-10 20:31:00.706017 : Epoch  1, Batch   3586, Loss  0.864891, Average Loss  0.869452, Time  0.169591
2021-09-10 20:31:02.291801 : Epoch  1, Batch   3587, Loss  0.879524, Average Loss  0.869483, Time  0.169926
2021-09-10 20:31:03.872755 : Epoch  1, Batch   3588, Loss  0.869768, Average Loss  0.869434, Time  0.170598
2021-09-10 20:31:05.457739 : Epoch  1, Batch   3589, Loss  0.888490, Average Loss  0.869562, Time  0.171378
2021-09-10 20:31:07.049809 : Epoch  1, Batch   3590, Loss  0.883378, Average Loss  0.869370, Time  0.173552
2021-09-10 20:31:08.634002 : Epoch  1, Batch   3591, Loss  0.837666, Average Loss  0.869305, Time  0.171469
2021-09-10 20:31:10.241025 : Epoch  1, Batch   3592, Loss  0.896162, Average Loss  0.869326, Time  0.170430
2021-09-10 20:31:11.837110 : Epoch  1, Batch   3593, Loss  0.848927, Average Loss  0.869165, Time  0.169499
2021-09-10 20:31:13.428009 : Epoch  1, Batch   3594, Loss  0.881208, Average Loss  0.869344, Time  0.171062
2021-09-10 20:31:15.001378 : Epoch  1, Batch   3595, Loss  0.883853, Average Loss  0.869506, Time  0.169945
2021-09-10 20:31:16.594934 : Epoch  1, Batch   3596, Loss  0.867958, Average Loss  0.869502, Time  0.169711
2021-09-10 20:31:18.170027 : Epoch  1, Batch   3597, Loss  0.870188, Average Loss  0.869440, Time  0.175305
2021-09-10 20:31:19.751026 : Epoch  1, Batch   3598, Loss  0.870558, Average Loss  0.869419, Time  0.174676
2021-09-10 20:31:21.357070 : Epoch  1, Batch   3599, Loss  0.861861, Average Loss  0.869307, Time  0.170638
2021-09-10 20:31:22.978041 : Epoch  1, Batch   3600, Loss  0.891570, Average Loss  0.869440, Time  0.172861
2021-09-10 20:36:05.029985 : CheckPoint: Validation Loss  0.00059016, Best Loss  0.00058919
2021-09-10 20:36:06.646634 : Epoch  1, Batch   3601, Loss  0.867987, Average Loss  0.869299, Time  0.177824
2021-09-10 20:36:08.241027 : Epoch  1, Batch   3602, Loss  0.841311, Average Loss  0.869191, Time  0.178966
2021-09-10 20:36:09.842799 : Epoch  1, Batch   3603, Loss  0.861141, Average Loss  0.869189, Time  0.170356
2021-09-10 20:36:11.431016 : Epoch  1, Batch   3604, Loss  0.852657, Average Loss  0.869027, Time  0.172588
2021-09-10 20:36:13.028006 : Epoch  1, Batch   3605, Loss  0.861733, Average Loss  0.869081, Time  0.177969
2021-09-10 20:36:14.619043 : Epoch  1, Batch   3606, Loss  0.856836, Average Loss  0.868980, Time  0.169640
2021-09-10 20:36:16.206023 : Epoch  1, Batch   3607, Loss  0.869142, Average Loss  0.868954, Time  0.172880
2021-09-10 20:36:17.821895 : Epoch  1, Batch   3608, Loss  0.870126, Average Loss  0.869022, Time  0.177399
2021-09-10 20:36:19.393633 : Epoch  1, Batch   3609, Loss  0.885767, Average Loss  0.869045, Time  0.170120
2021-09-10 20:36:20.965646 : Epoch  1, Batch   3610, Loss  0.873589, Average Loss  0.869028, Time  0.178397
2021-09-10 20:36:22.559025 : Epoch  1, Batch   3611, Loss  0.854253, Average Loss  0.868876, Time  0.170163
2021-09-10 20:36:24.155027 : Epoch  1, Batch   3612, Loss  0.865665, Average Loss  0.868827, Time  0.172989
2021-09-10 20:36:25.747750 : Epoch  1, Batch   3613, Loss  0.888222, Average Loss  0.868953, Time  0.174250
2021-09-10 20:36:27.358029 : Epoch  1, Batch   3614, Loss  0.869864, Average Loss  0.868954, Time  0.172760
2021-09-10 20:36:28.974745 : Epoch  1, Batch   3615, Loss  0.852771, Average Loss  0.868917, Time  0.172931
2021-09-10 20:36:30.592016 : Epoch  1, Batch   3616, Loss  0.871605, Average Loss  0.868925, Time  0.169663
2021-09-10 20:36:32.181045 : Epoch  1, Batch   3617, Loss  0.872722, Average Loss  0.868933, Time  0.172788
2021-09-10 20:36:33.782836 : Epoch  1, Batch   3618, Loss  0.892485, Average Loss  0.869161, Time  0.173799
2021-09-10 20:36:35.382859 : Epoch  1, Batch   3619, Loss  0.899369, Average Loss  0.869273, Time  0.174393
2021-09-10 20:36:37.014031 : Epoch  1, Batch   3620, Loss  0.885632, Average Loss  0.869429, Time  0.172819
2021-09-10 20:36:38.615877 : Epoch  1, Batch   3621, Loss  0.850299, Average Loss  0.869230, Time  0.170555
2021-09-10 20:36:40.227029 : Epoch  1, Batch   3622, Loss  0.902434, Average Loss  0.869420, Time  0.173543
2021-09-10 20:36:41.818046 : Epoch  1, Batch   3623, Loss  0.863724, Average Loss  0.869322, Time  0.173736
2021-09-10 20:36:43.404751 : Epoch  1, Batch   3624, Loss  0.872055, Average Loss  0.869297, Time  0.170458
2021-09-10 20:36:44.993030 : Epoch  1, Batch   3625, Loss  0.897598, Average Loss  0.869393, Time  0.179085
2021-09-10 20:36:46.586034 : Epoch  1, Batch   3626, Loss  0.889242, Average Loss  0.869468, Time  0.172288
2021-09-10 20:36:48.186609 : Epoch  1, Batch   3627, Loss  0.882956, Average Loss  0.869529, Time  0.175948
2021-09-10 20:36:49.767025 : Epoch  1, Batch   3628, Loss  0.866779, Average Loss  0.869634, Time  0.169773
2021-09-10 20:36:51.362231 : Epoch  1, Batch   3629, Loss  0.876569, Average Loss  0.869569, Time  0.169560
2021-09-10 20:36:52.954026 : Epoch  1, Batch   3630, Loss  0.866511, Average Loss  0.869635, Time  0.179066
2021-09-10 20:36:54.540030 : Epoch  1, Batch   3631, Loss  0.842561, Average Loss  0.869396, Time  0.173010
2021-09-10 20:36:56.125864 : Epoch  1, Batch   3632, Loss  0.884535, Average Loss  0.869469, Time  0.174383
2021-09-10 20:36:57.728045 : Epoch  1, Batch   3633, Loss  0.888413, Average Loss  0.869536, Time  0.170126
2021-09-10 20:36:59.332500 : Epoch  1, Batch   3634, Loss  0.881641, Average Loss  0.869659, Time  0.184553
2021-09-10 20:37:00.911778 : Epoch  1, Batch   3635, Loss  0.867257, Average Loss  0.869726, Time  0.170565
2021-09-10 20:37:02.508651 : Epoch  1, Batch   3636, Loss  0.873627, Average Loss  0.869983, Time  0.175291
2021-09-10 20:37:04.097743 : Epoch  1, Batch   3637, Loss  0.871920, Average Loss  0.869859, Time  0.175929
2021-09-10 20:37:05.725762 : Epoch  1, Batch   3638, Loss  0.856567, Average Loss  0.869770, Time  0.173606
2021-09-10 20:37:07.332824 : Epoch  1, Batch   3639, Loss  0.847537, Average Loss  0.869705, Time  0.180060
2021-09-10 20:37:08.945066 : Epoch  1, Batch   3640, Loss  0.867086, Average Loss  0.869706, Time  0.175550
2021-09-10 20:37:10.531740 : Epoch  1, Batch   3641, Loss  0.870272, Average Loss  0.869961, Time  0.169610
2021-09-10 20:37:12.122024 : Epoch  1, Batch   3642, Loss  0.888065, Average Loss  0.870048, Time  0.175796
2021-09-10 20:37:13.715753 : Epoch  1, Batch   3643, Loss  0.875776, Average Loss  0.870122, Time  0.174173
2021-09-10 20:37:15.327014 : Epoch  1, Batch   3644, Loss  0.849356, Average Loss  0.869963, Time  0.171559
2021-09-10 20:37:16.914782 : Epoch  1, Batch   3645, Loss  0.891171, Average Loss  0.870097, Time  0.170027
2021-09-10 20:37:18.514081 : Epoch  1, Batch   3646, Loss  0.868344, Average Loss  0.870147, Time  0.176863
2021-09-10 20:37:20.122039 : Epoch  1, Batch   3647, Loss  0.861546, Average Loss  0.870084, Time  0.173947
2021-09-10 20:37:21.704029 : Epoch  1, Batch   3648, Loss  0.868776, Average Loss  0.870162, Time  0.173360
2021-09-10 20:37:23.297029 : Epoch  1, Batch   3649, Loss  0.851448, Average Loss  0.870016, Time  0.169764
2021-09-10 20:37:24.892858 : Epoch  1, Batch   3650, Loss  0.867468, Average Loss  0.869993, Time  0.180825
2021-09-10 20:37:26.507029 : Epoch  1, Batch   3651, Loss  0.876026, Average Loss  0.869962, Time  0.169972
2021-09-10 20:37:28.101051 : Epoch  1, Batch   3652, Loss  0.872567, Average Loss  0.869893, Time  0.174673
2021-09-10 20:37:29.684834 : Epoch  1, Batch   3653, Loss  0.856948, Average Loss  0.869958, Time  0.180841
2021-09-10 20:37:31.253807 : Epoch  1, Batch   3654, Loss  0.863228, Average Loss  0.869911, Time  0.172074
2021-09-10 20:37:32.829840 : Epoch  1, Batch   3655, Loss  0.878303, Average Loss  0.870087, Time  0.176616
2021-09-10 20:37:34.414798 : Epoch  1, Batch   3656, Loss  0.889348, Average Loss  0.870269, Time  0.169783
2021-09-10 20:37:36.024022 : Epoch  1, Batch   3657, Loss  0.866235, Average Loss  0.870239, Time  0.177312
2021-09-10 20:37:37.622029 : Epoch  1, Batch   3658, Loss  0.867527, Average Loss  0.870134, Time  0.170155
2021-09-10 20:37:39.208116 : Epoch  1, Batch   3659, Loss  0.890958, Average Loss  0.870295, Time  0.171775
2021-09-10 20:37:40.805801 : Epoch  1, Batch   3660, Loss  0.869534, Average Loss  0.870312, Time  0.185497
2021-09-10 20:37:42.409792 : Epoch  1, Batch   3661, Loss  0.846936, Average Loss  0.870303, Time  0.174902
2021-09-10 20:37:44.000830 : Epoch  1, Batch   3662, Loss  0.833075, Average Loss  0.870080, Time  0.170680
2021-09-10 20:37:45.578070 : Epoch  1, Batch   3663, Loss  0.884928, Average Loss  0.870026, Time  0.170063
2021-09-10 20:37:47.195757 : Epoch  1, Batch   3664, Loss  0.888395, Average Loss  0.870132, Time  0.174640
2021-09-10 20:37:48.799069 : Epoch  1, Batch   3665, Loss  0.855498, Average Loss  0.869919, Time  0.169947
2021-09-10 20:37:50.400795 : Epoch  1, Batch   3666, Loss  0.872256, Average Loss  0.869974, Time  0.170864
2021-09-10 20:37:51.977104 : Epoch  1, Batch   3667, Loss  0.880798, Average Loss  0.869877, Time  0.170275
2021-09-10 20:37:53.559918 : Epoch  1, Batch   3668, Loss  0.856994, Average Loss  0.869708, Time  0.169804
2021-09-10 20:37:55.142762 : Epoch  1, Batch   3669, Loss  0.869335, Average Loss  0.869726, Time  0.178348
2021-09-10 20:37:56.719740 : Epoch  1, Batch   3670, Loss  0.874794, Average Loss  0.869724, Time  0.173945
2021-09-10 20:37:58.287862 : Epoch  1, Batch   3671, Loss  0.873575, Average Loss  0.869739, Time  0.170630
2021-09-10 20:37:59.881574 : Epoch  1, Batch   3672, Loss  0.883927, Average Loss  0.869855, Time  0.170068
2021-09-10 20:38:01.465862 : Epoch  1, Batch   3673, Loss  0.883573, Average Loss  0.869805, Time  0.169823
2021-09-10 20:38:03.045769 : Epoch  1, Batch   3674, Loss  0.862592, Average Loss  0.869848, Time  0.172731
2021-09-10 20:38:04.656945 : Epoch  1, Batch   3675, Loss  0.880302, Average Loss  0.869929, Time  0.172961
2021-09-10 20:38:06.276724 : Epoch  1, Batch   3676, Loss  0.867910, Average Loss  0.870010, Time  0.181875
2021-09-10 20:38:07.877788 : Epoch  1, Batch   3677, Loss  0.863451, Average Loss  0.869988, Time  0.173079
2021-09-10 20:38:09.486796 : Epoch  1, Batch   3678, Loss  0.883519, Average Loss  0.869971, Time  0.172569
2021-09-10 20:38:11.076027 : Epoch  1, Batch   3679, Loss  0.868993, Average Loss  0.869769, Time  0.171998
2021-09-10 20:38:12.661761 : Epoch  1, Batch   3680, Loss  0.869499, Average Loss  0.869889, Time  0.174006
2021-09-10 20:38:14.271022 : Epoch  1, Batch   3681, Loss  0.851249, Average Loss  0.869855, Time  0.179295
2021-09-10 20:38:15.863026 : Epoch  1, Batch   3682, Loss  0.842029, Average Loss  0.869770, Time  0.175745
2021-09-10 20:38:17.440825 : Epoch  1, Batch   3683, Loss  0.872714, Average Loss  0.869643, Time  0.175970
2021-09-10 20:38:19.046760 : Epoch  1, Batch   3684, Loss  0.892960, Average Loss  0.869725, Time  0.171659
2021-09-10 20:38:20.646896 : Epoch  1, Batch   3685, Loss  0.871101, Average Loss  0.869704, Time  0.174268
2021-09-10 20:38:22.223786 : Epoch  1, Batch   3686, Loss  0.872275, Average Loss  0.869767, Time  0.170411
2021-09-10 20:38:23.819880 : Epoch  1, Batch   3687, Loss  0.898369, Average Loss  0.869862, Time  0.171794
2021-09-10 20:38:25.397210 : Epoch  1, Batch   3688, Loss  0.906995, Average Loss  0.870099, Time  0.170085
2021-09-10 20:38:26.998036 : Epoch  1, Batch   3689, Loss  0.858839, Average Loss  0.869980, Time  0.170125
2021-09-10 20:38:28.589260 : Epoch  1, Batch   3690, Loss  0.873787, Average Loss  0.870028, Time  0.172226
2021-09-10 20:38:30.179029 : Epoch  1, Batch   3691, Loss  0.843006, Average Loss  0.869926, Time  0.169829
2021-09-10 20:38:31.776734 : Epoch  1, Batch   3692, Loss  0.856626, Average Loss  0.869696, Time  0.173325
2021-09-10 20:38:33.370082 : Epoch  1, Batch   3693, Loss  0.895354, Average Loss  0.869917, Time  0.170183
2021-09-10 20:38:34.994811 : Epoch  1, Batch   3694, Loss  0.884397, Average Loss  0.869893, Time  0.178188
2021-09-10 20:38:36.582579 : Epoch  1, Batch   3695, Loss  0.842140, Average Loss  0.869821, Time  0.169639
2021-09-10 20:38:38.173774 : Epoch  1, Batch   3696, Loss  0.878489, Average Loss  0.869830, Time  0.170326
2021-09-10 20:38:39.776855 : Epoch  1, Batch   3697, Loss  0.869676, Average Loss  0.869960, Time  0.180160
2021-09-10 20:38:41.380032 : Epoch  1, Batch   3698, Loss  0.888164, Average Loss  0.870025, Time  0.171850
2021-09-10 20:38:43.005709 : Epoch  1, Batch   3699, Loss  0.886152, Average Loss  0.870070, Time  0.179321
2021-09-10 20:38:44.586692 : Epoch  1, Batch   3700, Loss  0.870922, Average Loss  0.870087, Time  0.169567
2021-09-10 20:43:26.583727 : CheckPoint: Validation Loss  0.00061636, Best Loss  0.00058919
2021-09-10 20:43:28.210959 : Epoch  1, Batch   3701, Loss  0.859675, Average Loss  0.869997, Time  0.179216
2021-09-10 20:43:29.799926 : Epoch  1, Batch   3702, Loss  0.906622, Average Loss  0.870208, Time  0.171443
2021-09-10 20:43:31.392034 : Epoch  1, Batch   3703, Loss  0.905496, Average Loss  0.870406, Time  0.173915
2021-09-10 20:43:32.995029 : Epoch  1, Batch   3704, Loss  0.893141, Average Loss  0.870601, Time  0.172760
2021-09-10 20:43:34.583798 : Epoch  1, Batch   3705, Loss  0.872555, Average Loss  0.870696, Time  0.173011
2021-09-10 20:43:36.176033 : Epoch  1, Batch   3706, Loss  0.873471, Average Loss  0.870664, Time  0.172193
2021-09-10 20:43:37.781732 : Epoch  1, Batch   3707, Loss  0.891633, Average Loss  0.870840, Time  0.169834
2021-09-10 20:43:39.377027 : Epoch  1, Batch   3708, Loss  0.871905, Average Loss  0.870946, Time  0.169927
2021-09-10 20:43:40.973021 : Epoch  1, Batch   3709, Loss  0.849878, Average Loss  0.870926, Time  0.174004
2021-09-10 20:43:42.576031 : Epoch  1, Batch   3710, Loss  0.864663, Average Loss  0.870824, Time  0.170041
2021-09-10 20:43:44.184875 : Epoch  1, Batch   3711, Loss  0.898711, Average Loss  0.871178, Time  0.172206
2021-09-10 20:43:44.249628 : Saving Model after 1-th Epoch.
2021-09-10 20:43:45.380672 : Epoch Finished.
2021-09-10 20:43:50.951670 : Batch Shuffled
2021-09-10 20:43:52.588020 : Epoch  2, Batch      1, Loss  0.871124, Average Loss  0.871171, Time  0.187522
2021-09-10 20:43:54.197023 : Epoch  2, Batch      2, Loss  0.856788, Average Loss  0.870999, Time  0.176069
2021-09-10 20:43:55.784026 : Epoch  2, Batch      3, Loss  0.900795, Average Loss  0.871066, Time  0.173532
2021-09-10 20:43:57.397838 : Epoch  2, Batch      4, Loss  0.827129, Average Loss  0.870827, Time  0.170842
2021-09-10 20:43:59.003033 : Epoch  2, Batch      5, Loss  0.853802, Average Loss  0.870674, Time  0.173533
2021-09-10 20:44:00.602026 : Epoch  2, Batch      6, Loss  0.876209, Average Loss  0.870706, Time  0.171100
2021-09-10 20:44:02.212043 : Epoch  2, Batch      7, Loss  0.883846, Average Loss  0.870842, Time  0.173810
2021-09-10 20:44:03.792774 : Epoch  2, Batch      8, Loss  0.851591, Average Loss  0.870832, Time  0.175156
2021-09-10 20:44:05.379048 : Epoch  2, Batch      9, Loss  0.821315, Average Loss  0.870486, Time  0.175661
2021-09-10 20:44:06.969026 : Epoch  2, Batch     10, Loss  0.864873, Average Loss  0.870386, Time  0.177702
2021-09-10 20:44:08.577040 : Epoch  2, Batch     11, Loss  0.873349, Average Loss  0.870307, Time  0.172244
2021-09-10 20:44:10.177879 : Epoch  2, Batch     12, Loss  0.890897, Average Loss  0.870430, Time  0.179507
2021-09-10 20:44:11.808030 : Epoch  2, Batch     13, Loss  0.865162, Average Loss  0.870424, Time  0.178805
2021-09-10 20:44:13.420844 : Epoch  2, Batch     14, Loss  0.870798, Average Loss  0.870426, Time  0.171826
2021-09-10 20:44:15.011023 : Epoch  2, Batch     15, Loss  0.887800, Average Loss  0.870405, Time  0.170401
2021-09-10 20:44:16.622796 : Epoch  2, Batch     16, Loss  0.851325, Average Loss  0.870331, Time  0.171236
2021-09-10 20:44:18.210031 : Epoch  2, Batch     17, Loss  0.870293, Average Loss  0.870326, Time  0.173932
2021-09-10 20:44:19.802032 : Epoch  2, Batch     18, Loss  0.870091, Average Loss  0.870425, Time  0.172629
2021-09-10 20:44:21.414029 : Epoch  2, Batch     19, Loss  0.873887, Average Loss  0.870575, Time  0.169709
2021-09-10 20:44:23.012747 : Epoch  2, Batch     20, Loss  0.876430, Average Loss  0.870544, Time  0.170550
2021-09-10 20:44:24.625032 : Epoch  2, Batch     21, Loss  0.874882, Average Loss  0.870698, Time  0.170721
2021-09-10 20:44:26.213756 : Epoch  2, Batch     22, Loss  0.848663, Average Loss  0.870704, Time  0.170578
2021-09-10 20:44:27.861064 : Epoch  2, Batch     23, Loss  0.847566, Average Loss  0.870578, Time  0.172186
2021-09-10 20:44:29.454030 : Epoch  2, Batch     24, Loss  0.888525, Average Loss  0.870774, Time  0.174791
2021-09-10 20:44:31.058037 : Epoch  2, Batch     25, Loss  0.885913, Average Loss  0.870975, Time  0.169623
2021-09-10 20:44:32.663031 : Epoch  2, Batch     26, Loss  0.869275, Average Loss  0.870869, Time  0.169954
2021-09-10 20:44:34.275053 : Epoch  2, Batch     27, Loss  0.863821, Average Loss  0.871004, Time  0.172934
2021-09-10 20:44:35.885877 : Epoch  2, Batch     28, Loss  0.886359, Average Loss  0.871212, Time  0.170219
2021-09-10 20:44:37.466035 : Epoch  2, Batch     29, Loss  0.858650, Average Loss  0.871268, Time  0.170647
2021-09-10 20:44:39.059037 : Epoch  2, Batch     30, Loss  0.891598, Average Loss  0.871411, Time  0.169732
2021-09-10 20:44:40.668808 : Epoch  2, Batch     31, Loss  0.845078, Average Loss  0.871326, Time  0.177884
2021-09-10 20:44:42.266864 : Epoch  2, Batch     32, Loss  0.862590, Average Loss  0.871247, Time  0.176280
2021-09-10 20:44:43.855027 : Epoch  2, Batch     33, Loss  0.867155, Average Loss  0.871122, Time  0.173975
2021-09-10 20:44:45.450817 : Epoch  2, Batch     34, Loss  0.867221, Average Loss  0.871123, Time  0.170392
2021-09-10 20:44:47.052030 : Epoch  2, Batch     35, Loss  0.854823, Average Loss  0.871145, Time  0.176480
2021-09-10 20:44:48.647879 : Epoch  2, Batch     36, Loss  0.869489, Average Loss  0.871291, Time  0.176470
2021-09-10 20:44:50.227740 : Epoch  2, Batch     37, Loss  0.889170, Average Loss  0.871526, Time  0.171518
2021-09-10 20:44:51.802036 : Epoch  2, Batch     38, Loss  0.881503, Average Loss  0.871569, Time  0.172514
2021-09-10 20:44:53.389782 : Epoch  2, Batch     39, Loss  0.867757, Average Loss  0.871455, Time  0.172673
2021-09-10 20:44:54.984033 : Epoch  2, Batch     40, Loss  0.854078, Average Loss  0.871315, Time  0.172700
2021-09-10 20:44:56.562790 : Epoch  2, Batch     41, Loss  0.866426, Average Loss  0.871203, Time  0.170176
2021-09-10 20:44:58.163034 : Epoch  2, Batch     42, Loss  0.870395, Average Loss  0.871075, Time  0.171425
2021-09-10 20:44:59.764059 : Epoch  2, Batch     43, Loss  0.905575, Average Loss  0.871296, Time  0.174972
2021-09-10 20:45:01.358925 : Epoch  2, Batch     44, Loss  0.882211, Average Loss  0.871242, Time  0.178486
2021-09-10 20:45:02.985749 : Epoch  2, Batch     45, Loss  0.897528, Average Loss  0.871374, Time  0.176667
2021-09-10 20:45:04.574773 : Epoch  2, Batch     46, Loss  0.878278, Average Loss  0.871443, Time  0.175023
2021-09-10 20:45:06.154737 : Epoch  2, Batch     47, Loss  0.881050, Average Loss  0.871397, Time  0.170266
2021-09-10 20:45:07.747912 : Epoch  2, Batch     48, Loss  0.832048, Average Loss  0.871200, Time  0.169947
2021-09-10 20:45:09.343920 : Epoch  2, Batch     49, Loss  0.866987, Average Loss  0.871224, Time  0.170739
2021-09-10 20:45:10.944037 : Epoch  2, Batch     50, Loss  0.858027, Average Loss  0.871114, Time  0.177007
2021-09-10 20:45:12.520779 : Epoch  2, Batch     51, Loss  0.883281, Average Loss  0.871153, Time  0.173606
2021-09-10 20:45:14.137966 : Epoch  2, Batch     52, Loss  0.867402, Average Loss  0.871063, Time  0.170685
2021-09-10 20:45:15.737353 : Epoch  2, Batch     53, Loss  0.825425, Average Loss  0.871018, Time  0.170371
2021-09-10 20:45:17.335834 : Epoch  2, Batch     54, Loss  0.857425, Average Loss  0.870867, Time  0.170174
2021-09-10 20:45:18.934348 : Epoch  2, Batch     55, Loss  0.883134, Average Loss  0.870991, Time  0.172942
2021-09-10 20:45:20.528115 : Epoch  2, Batch     56, Loss  0.849588, Average Loss  0.870669, Time  0.173578
2021-09-10 20:45:22.114036 : Epoch  2, Batch     57, Loss  0.861575, Average Loss  0.870680, Time  0.171433
2021-09-10 20:45:23.724740 : Epoch  2, Batch     58, Loss  0.920349, Average Loss  0.870886, Time  0.178542
2021-09-10 20:45:25.316027 : Epoch  2, Batch     59, Loss  0.877274, Average Loss  0.871050, Time  0.173064
2021-09-10 20:45:26.906738 : Epoch  2, Batch     60, Loss  0.886602, Average Loss  0.871267, Time  0.169895
2021-09-10 20:45:28.531027 : Epoch  2, Batch     61, Loss  0.852141, Average Loss  0.871107, Time  0.171851
2021-09-10 20:45:30.137765 : Epoch  2, Batch     62, Loss  0.869537, Average Loss  0.871118, Time  0.172224
2021-09-10 20:45:31.726805 : Epoch  2, Batch     63, Loss  0.874449, Average Loss  0.871064, Time  0.172683
2021-09-10 20:45:33.300755 : Epoch  2, Batch     64, Loss  0.868661, Average Loss  0.871249, Time  0.169629
2021-09-10 20:45:34.940052 : Epoch  2, Batch     65, Loss  0.827504, Average Loss  0.870975, Time  0.176001
2021-09-10 20:45:36.579024 : Epoch  2, Batch     66, Loss  0.867113, Average Loss  0.870998, Time  0.179985
2021-09-10 20:45:38.184785 : Epoch  2, Batch     67, Loss  0.865846, Average Loss  0.870949, Time  0.172412
2021-09-10 20:45:39.779032 : Epoch  2, Batch     68, Loss  0.850032, Average Loss  0.870858, Time  0.169405
2021-09-10 20:45:41.382794 : Epoch  2, Batch     69, Loss  0.828056, Average Loss  0.870545, Time  0.172903
2021-09-10 20:45:42.974020 : Epoch  2, Batch     70, Loss  0.872501, Average Loss  0.870424, Time  0.172837
2021-09-10 20:45:44.574020 : Epoch  2, Batch     71, Loss  0.862645, Average Loss  0.870372, Time  0.170475
2021-09-10 20:45:46.168027 : Epoch  2, Batch     72, Loss  0.859327, Average Loss  0.870325, Time  0.176308
2021-09-10 20:45:47.785025 : Epoch  2, Batch     73, Loss  0.891025, Average Loss  0.870542, Time  0.170421
2021-09-10 20:45:49.399884 : Epoch  2, Batch     74, Loss  0.876951, Average Loss  0.870662, Time  0.180187
2021-09-10 20:45:51.018760 : Epoch  2, Batch     75, Loss  0.832517, Average Loss  0.870500, Time  0.177549
2021-09-10 20:45:52.614046 : Epoch  2, Batch     76, Loss  0.868317, Average Loss  0.870444, Time  0.171305
2021-09-10 20:45:54.215029 : Epoch  2, Batch     77, Loss  0.863042, Average Loss  0.870411, Time  0.169728
2021-09-10 20:45:55.842028 : Epoch  2, Batch     78, Loss  0.900537, Average Loss  0.870471, Time  0.171309
2021-09-10 20:45:57.455019 : Epoch  2, Batch     79, Loss  0.877043, Average Loss  0.870439, Time  0.170226
2021-09-10 20:45:59.033816 : Epoch  2, Batch     80, Loss  0.843572, Average Loss  0.870469, Time  0.170581
2021-09-10 20:46:00.631028 : Epoch  2, Batch     81, Loss  0.855560, Average Loss  0.870266, Time  0.181203
2021-09-10 20:46:02.229895 : Epoch  2, Batch     82, Loss  0.899131, Average Loss  0.870517, Time  0.171311
2021-09-10 20:46:03.829078 : Epoch  2, Batch     83, Loss  0.863848, Average Loss  0.870430, Time  0.172980
2021-09-10 20:46:05.461023 : Epoch  2, Batch     84, Loss  0.844212, Average Loss  0.870232, Time  0.172446
2021-09-10 20:46:07.079673 : Epoch  2, Batch     85, Loss  0.905600, Average Loss  0.870420, Time  0.170018
2021-09-10 20:46:08.656034 : Epoch  2, Batch     86, Loss  0.883091, Average Loss  0.870484, Time  0.171685
2021-09-10 20:46:10.253816 : Epoch  2, Batch     87, Loss  0.866497, Average Loss  0.870464, Time  0.170007
2021-09-10 20:46:11.859806 : Epoch  2, Batch     88, Loss  0.844273, Average Loss  0.870376, Time  0.170499
2021-09-10 20:46:13.450795 : Epoch  2, Batch     89, Loss  0.881218, Average Loss  0.870324, Time  0.170652
2021-09-10 20:50:55.762714 : CheckPoint: Validation Loss  0.00059918, Best Loss  0.00058919
2021-09-10 20:50:57.389804 : Epoch  2, Batch     90, Loss  0.882761, Average Loss  0.870398, Time  0.177521
2021-09-10 20:50:58.993744 : Epoch  2, Batch     91, Loss  0.890505, Average Loss  0.870644, Time  0.170075
2021-09-10 20:51:00.583776 : Epoch  2, Batch     92, Loss  0.866840, Average Loss  0.870673, Time  0.169569
2021-09-10 20:51:02.200031 : Epoch  2, Batch     93, Loss  0.907100, Average Loss  0.870945, Time  0.181369
2021-09-10 20:51:03.778895 : Epoch  2, Batch     94, Loss  0.871767, Average Loss  0.870995, Time  0.170163
2021-09-10 20:51:05.380012 : Epoch  2, Batch     95, Loss  0.889992, Average Loss  0.871161, Time  0.170389
2021-09-10 20:51:06.987012 : Epoch  2, Batch     96, Loss  0.850448, Average Loss  0.871067, Time  0.170855
2021-09-10 20:51:08.609024 : Epoch  2, Batch     97, Loss  0.882330, Average Loss  0.871128, Time  0.170114
2021-09-10 20:51:10.228115 : Epoch  2, Batch     98, Loss  0.862602, Average Loss  0.871013, Time  0.173831
2021-09-10 20:51:11.846934 : Epoch  2, Batch     99, Loss  0.843706, Average Loss  0.870863, Time  0.170765
2021-09-10 20:51:13.451807 : Epoch  2, Batch    100, Loss  0.854876, Average Loss  0.870866, Time  0.169659
2021-09-10 20:51:15.061027 : Epoch  2, Batch    101, Loss  0.880455, Average Loss  0.870940, Time  0.171859
2021-09-10 20:51:16.634929 : Epoch  2, Batch    102, Loss  0.868356, Average Loss  0.870841, Time  0.170552
2021-09-10 20:51:18.222813 : Epoch  2, Batch    103, Loss  0.850613, Average Loss  0.870745, Time  0.170042
2021-09-10 20:51:19.807734 : Epoch  2, Batch    104, Loss  0.892369, Average Loss  0.870943, Time  0.170497
2021-09-10 20:51:21.416021 : Epoch  2, Batch    105, Loss  0.845631, Average Loss  0.870813, Time  0.174850
2021-09-10 20:51:23.033771 : Epoch  2, Batch    106, Loss  0.863536, Average Loss  0.870767, Time  0.177888
2021-09-10 20:51:24.653917 : Epoch  2, Batch    107, Loss  0.868693, Average Loss  0.870648, Time  0.170366
2021-09-10 20:51:26.275864 : Epoch  2, Batch    108, Loss  0.846475, Average Loss  0.870383, Time  0.180125
2021-09-10 20:51:27.863076 : Epoch  2, Batch    109, Loss  0.880494, Average Loss  0.870358, Time  0.176543
2021-09-10 20:51:29.456030 : Epoch  2, Batch    110, Loss  0.886768, Average Loss  0.870540, Time  0.173550
2021-09-10 20:51:31.055019 : Epoch  2, Batch    111, Loss  0.874537, Average Loss  0.870401, Time  0.172216
2021-09-10 20:51:32.627792 : Epoch  2, Batch    112, Loss  0.900917, Average Loss  0.870587, Time  0.173412
2021-09-10 20:51:34.230033 : Epoch  2, Batch    113, Loss  0.845153, Average Loss  0.870452, Time  0.175687
2021-09-10 20:51:35.812747 : Epoch  2, Batch    114, Loss  0.863273, Average Loss  0.870280, Time  0.173371
2021-09-10 20:51:37.411752 : Epoch  2, Batch    115, Loss  0.891402, Average Loss  0.870291, Time  0.169931
2021-09-10 20:51:38.986833 : Epoch  2, Batch    116, Loss  0.863448, Average Loss  0.870194, Time  0.175053
2021-09-10 20:51:40.560053 : Epoch  2, Batch    117, Loss  0.878021, Average Loss  0.870250, Time  0.173826
2021-09-10 20:51:42.136765 : Epoch  2, Batch    118, Loss  0.891470, Average Loss  0.870324, Time  0.172200
2021-09-10 20:51:43.753785 : Epoch  2, Batch    119, Loss  0.882655, Average Loss  0.870405, Time  0.177912
2021-09-10 20:51:45.376031 : Epoch  2, Batch    120, Loss  0.900318, Average Loss  0.870694, Time  0.173436
2021-09-10 20:51:46.993034 : Epoch  2, Batch    121, Loss  0.878464, Average Loss  0.870664, Time  0.172509
2021-09-10 20:51:48.606801 : Epoch  2, Batch    122, Loss  0.898751, Average Loss  0.870715, Time  0.178205
2021-09-10 20:51:50.196773 : Epoch  2, Batch    123, Loss  0.863519, Average Loss  0.870625, Time  0.170017
2021-09-10 20:51:51.777109 : Epoch  2, Batch    124, Loss  0.826212, Average Loss  0.870419, Time  0.169946
2021-09-10 20:51:53.383026 : Epoch  2, Batch    125, Loss  0.875239, Average Loss  0.870427, Time  0.173149
2021-09-10 20:51:54.992053 : Epoch  2, Batch    126, Loss  0.840456, Average Loss  0.870270, Time  0.175619
2021-09-10 20:51:56.603025 : Epoch  2, Batch    127, Loss  0.897709, Average Loss  0.870476, Time  0.169911
2021-09-10 20:51:58.185024 : Epoch  2, Batch    128, Loss  0.897810, Average Loss  0.870727, Time  0.172178
2021-09-10 20:51:59.764072 : Epoch  2, Batch    129, Loss  0.849737, Average Loss  0.870640, Time  0.176969
2021-09-10 20:52:01.322487 : Epoch  2, Batch    130, Loss  0.867996, Average Loss  0.870629, Time  0.169745
2021-09-10 20:52:02.900028 : Epoch  2, Batch    131, Loss  0.869858, Average Loss  0.870538, Time  0.171001
2021-09-10 20:52:04.503830 : Epoch  2, Batch    132, Loss  0.845840, Average Loss  0.870388, Time  0.172023
2021-09-10 20:52:06.097857 : Epoch  2, Batch    133, Loss  0.856135, Average Loss  0.870422, Time  0.173482
2021-09-10 20:52:07.710789 : Epoch  2, Batch    134, Loss  0.886386, Average Loss  0.870398, Time  0.169941
2021-09-10 20:52:09.314063 : Epoch  2, Batch    135, Loss  0.901382, Average Loss  0.870564, Time  0.173612
2021-09-10 20:52:10.923850 : Epoch  2, Batch    136, Loss  0.893904, Average Loss  0.870725, Time  0.170825
2021-09-10 20:52:12.539051 : Epoch  2, Batch    137, Loss  0.889372, Average Loss  0.870828, Time  0.173295
2021-09-10 20:52:14.126030 : Epoch  2, Batch    138, Loss  0.856011, Average Loss  0.870851, Time  0.172217
2021-09-10 20:52:15.719019 : Epoch  2, Batch    139, Loss  0.868591, Average Loss  0.870857, Time  0.171510
2021-09-10 20:52:17.309946 : Epoch  2, Batch    140, Loss  0.858747, Average Loss  0.870770, Time  0.171974
2021-09-10 20:52:18.895049 : Epoch  2, Batch    141, Loss  0.864224, Average Loss  0.870729, Time  0.169976
2021-09-10 20:52:20.468029 : Epoch  2, Batch    142, Loss  0.883400, Average Loss  0.870861, Time  0.175258
2021-09-10 20:52:22.058029 : Epoch  2, Batch    143, Loss  0.879743, Average Loss  0.870943, Time  0.176074
2021-09-10 20:52:23.659865 : Epoch  2, Batch    144, Loss  0.872599, Average Loss  0.870915, Time  0.171137
2021-09-10 20:52:25.254742 : Epoch  2, Batch    145, Loss  0.879406, Average Loss  0.870865, Time  0.170509
2021-09-10 20:52:26.845826 : Epoch  2, Batch    146, Loss  0.886606, Average Loss  0.870967, Time  0.175905
2021-09-10 20:52:28.425814 : Epoch  2, Batch    147, Loss  0.864917, Average Loss  0.870954, Time  0.173993
2021-09-10 20:52:30.078486 : Epoch  2, Batch    148, Loss  0.844326, Average Loss  0.870721, Time  0.175605
2021-09-10 20:52:31.656767 : Epoch  2, Batch    149, Loss  0.859314, Average Loss  0.870670, Time  0.170102
2021-09-10 20:52:33.260090 : Epoch  2, Batch    150, Loss  0.872405, Average Loss  0.870797, Time  0.169958
2021-09-10 20:52:34.845013 : Epoch  2, Batch    151, Loss  0.858263, Average Loss  0.870923, Time  0.169726
2021-09-10 20:52:36.417031 : Epoch  2, Batch    152, Loss  0.878498, Average Loss  0.870891, Time  0.172982
2021-09-10 20:52:38.006031 : Epoch  2, Batch    153, Loss  0.844647, Average Loss  0.870672, Time  0.170794
2021-09-10 20:52:39.604894 : Epoch  2, Batch    154, Loss  0.876454, Average Loss  0.870777, Time  0.171944
2021-09-10 20:52:41.213777 : Epoch  2, Batch    155, Loss  0.831508, Average Loss  0.870573, Time  0.170478
2021-09-10 20:52:42.786805 : Epoch  2, Batch    156, Loss  0.845202, Average Loss  0.870395, Time  0.169797
2021-09-10 20:52:44.352669 : Epoch  2, Batch    157, Loss  0.866244, Average Loss  0.870441, Time  0.170659
2021-09-10 20:52:45.912030 : Epoch  2, Batch    158, Loss  0.862758, Average Loss  0.870409, Time  0.169465
2021-09-10 20:52:47.508775 : Epoch  2, Batch    159, Loss  0.846877, Average Loss  0.870269, Time  0.177925
2021-09-10 20:52:49.103017 : Epoch  2, Batch    160, Loss  0.839068, Average Loss  0.870096, Time  0.172854
2021-09-10 20:52:50.689768 : Epoch  2, Batch    161, Loss  0.855282, Average Loss  0.869953, Time  0.172712
2021-09-10 20:52:52.279862 : Epoch  2, Batch    162, Loss  0.876166, Average Loss  0.869916, Time  0.170797
2021-09-10 20:52:53.846743 : Epoch  2, Batch    163, Loss  0.888339, Average Loss  0.870045, Time  0.173262
2021-09-10 20:52:55.453848 : Epoch  2, Batch    164, Loss  0.852799, Average Loss  0.869907, Time  0.174275
2021-09-10 20:52:57.077864 : Epoch  2, Batch    165, Loss  0.852593, Average Loss  0.869831, Time  0.175938
2021-09-10 20:52:58.671101 : Epoch  2, Batch    166, Loss  0.858695, Average Loss  0.869807, Time  0.171077
2021-09-10 20:53:00.260799 : Epoch  2, Batch    167, Loss  0.914088, Average Loss  0.869960, Time  0.176128
2021-09-10 20:53:01.840023 : Epoch  2, Batch    168, Loss  0.859493, Average Loss  0.869912, Time  0.169982
2021-09-10 20:53:03.406029 : Epoch  2, Batch    169, Loss  0.840378, Average Loss  0.869767, Time  0.171556
2021-09-10 20:53:05.007762 : Epoch  2, Batch    170, Loss  0.863668, Average Loss  0.869829, Time  0.178837
2021-09-10 20:53:06.632758 : Epoch  2, Batch    171, Loss  0.847199, Average Loss  0.869855, Time  0.169889
2021-09-10 20:53:08.201573 : Epoch  2, Batch    172, Loss  0.875195, Average Loss  0.869867, Time  0.170728
2021-09-10 20:53:09.770780 : Epoch  2, Batch    173, Loss  0.866758, Average Loss  0.869736, Time  0.173811
2021-09-10 20:53:11.344034 : Epoch  2, Batch    174, Loss  0.840728, Average Loss  0.869584, Time  0.169570
2021-09-10 20:53:12.950936 : Epoch  2, Batch    175, Loss  0.886498, Average Loss  0.869655, Time  0.179846
2021-09-10 20:53:14.565033 : Epoch  2, Batch    176, Loss  0.855636, Average Loss  0.869442, Time  0.169604
2021-09-10 20:53:16.159777 : Epoch  2, Batch    177, Loss  0.870999, Average Loss  0.869262, Time  0.171411
2021-09-10 20:53:17.772856 : Epoch  2, Batch    178, Loss  0.872891, Average Loss  0.869332, Time  0.173131
2021-09-10 20:53:19.357022 : Epoch  2, Batch    179, Loss  0.876329, Average Loss  0.869345, Time  0.173256
2021-09-10 20:53:20.945777 : Epoch  2, Batch    180, Loss  0.858541, Average Loss  0.869422, Time  0.170238
2021-09-10 20:53:22.550673 : Epoch  2, Batch    181, Loss  0.849905, Average Loss  0.869389, Time  0.175738
2021-09-10 20:53:24.121042 : Epoch  2, Batch    182, Loss  0.852204, Average Loss  0.869173, Time  0.181194
2021-09-10 20:53:25.704026 : Epoch  2, Batch    183, Loss  0.872234, Average Loss  0.869112, Time  0.172489
2021-09-10 20:53:27.305036 : Epoch  2, Batch    184, Loss  0.900206, Average Loss  0.869403, Time  0.170129
2021-09-10 20:53:28.921736 : Epoch  2, Batch    185, Loss  0.865734, Average Loss  0.869339, Time  0.174591
2021-09-10 20:53:30.484707 : Epoch  2, Batch    186, Loss  0.885033, Average Loss  0.869416, Time  0.175745
2021-09-10 20:53:32.058744 : Epoch  2, Batch    187, Loss  0.877627, Average Loss  0.869363, Time  0.171316
2021-09-10 20:53:33.663020 : Epoch  2, Batch    188, Loss  0.874246, Average Loss  0.869303, Time  0.174785
2021-09-10 20:53:35.266650 : Epoch  2, Batch    189, Loss  0.867881, Average Loss  0.869288, Time  0.170614
2021-09-10 20:58:17.416741 : CheckPoint: Validation Loss  0.00062511, Best Loss  0.00058919
2021-09-10 20:58:19.024889 : Epoch  2, Batch    190, Loss  0.859361, Average Loss  0.869287, Time  0.178143
2021-09-10 20:58:20.618928 : Epoch  2, Batch    191, Loss  0.857321, Average Loss  0.869040, Time  0.171247
2021-09-10 20:58:22.240996 : Epoch  2, Batch    192, Loss  0.848727, Average Loss  0.868756, Time  0.176401
2021-09-10 20:58:23.857026 : Epoch  2, Batch    193, Loss  0.865452, Average Loss  0.868618, Time  0.174797
2021-09-10 20:58:25.468014 : Epoch  2, Batch    194, Loss  0.875308, Average Loss  0.868632, Time  0.174706
2021-09-10 20:58:27.044027 : Epoch  2, Batch    195, Loss  0.831351, Average Loss  0.868421, Time  0.169834
2021-09-10 20:58:28.617984 : Epoch  2, Batch    196, Loss  0.862944, Average Loss  0.868277, Time  0.173007
2021-09-10 20:58:30.194026 : Epoch  2, Batch    197, Loss  0.859787, Average Loss  0.868217, Time  0.173342
2021-09-10 20:58:31.789072 : Epoch  2, Batch    198, Loss  0.885828, Average Loss  0.868397, Time  0.173577
2021-09-10 20:58:33.397761 : Epoch  2, Batch    199, Loss  0.831137, Average Loss  0.868229, Time  0.173602
2021-09-10 20:58:35.008022 : Epoch  2, Batch    200, Loss  0.888881, Average Loss  0.868180, Time  0.173887
2021-09-10 20:58:36.640020 : Epoch  2, Batch    201, Loss  0.836820, Average Loss  0.868008, Time  0.176837
2021-09-10 20:58:38.252075 : Epoch  2, Batch    202, Loss  0.877742, Average Loss  0.868113, Time  0.173002
2021-09-10 20:58:39.863024 : Epoch  2, Batch    203, Loss  0.880177, Average Loss  0.868010, Time  0.170155
2021-09-10 20:58:41.457028 : Epoch  2, Batch    204, Loss  0.893436, Average Loss  0.868342, Time  0.175297
2021-09-10 20:58:43.038793 : Epoch  2, Batch    205, Loss  0.844076, Average Loss  0.868293, Time  0.170029
2021-09-10 20:58:44.633019 : Epoch  2, Batch    206, Loss  0.877210, Average Loss  0.868298, Time  0.183171
2021-09-10 20:58:46.216054 : Epoch  2, Batch    207, Loss  0.876131, Average Loss  0.868259, Time  0.177114
2021-09-10 20:58:47.798045 : Epoch  2, Batch    208, Loss  0.894058, Average Loss  0.868472, Time  0.175023
2021-09-10 20:58:49.369033 : Epoch  2, Batch    209, Loss  0.876778, Average Loss  0.868749, Time  0.170639
2021-09-10 20:58:50.978766 : Epoch  2, Batch    210, Loss  0.878385, Average Loss  0.868817, Time  0.169993
2021-09-10 20:58:52.595103 : Epoch  2, Batch    211, Loss  0.896076, Average Loss  0.868930, Time  0.173505
2021-09-10 20:58:54.185947 : Epoch  2, Batch    212, Loss  0.848998, Average Loss  0.868721, Time  0.170944
2021-09-10 20:58:55.776731 : Epoch  2, Batch    213, Loss  0.853133, Average Loss  0.868661, Time  0.177752
2021-09-10 20:58:57.361027 : Epoch  2, Batch    214, Loss  0.850118, Average Loss  0.868557, Time  0.172125
2021-09-10 20:58:58.956807 : Epoch  2, Batch    215, Loss  0.879349, Average Loss  0.868515, Time  0.173361
2021-09-10 20:59:00.546119 : Epoch  2, Batch    216, Loss  0.846003, Average Loss  0.868488, Time  0.169524
2021-09-10 20:59:02.133143 : Epoch  2, Batch    217, Loss  0.874007, Average Loss  0.868507, Time  0.169868
2021-09-10 20:59:03.727742 : Epoch  2, Batch    218, Loss  0.865205, Average Loss  0.868482, Time  0.169753
2021-09-10 20:59:05.301626 : Epoch  2, Batch    219, Loss  0.883454, Average Loss  0.868530, Time  0.175586
2021-09-10 20:59:06.910814 : Epoch  2, Batch    220, Loss  0.877765, Average Loss  0.868537, Time  0.177456
2021-09-10 20:59:08.501044 : Epoch  2, Batch    221, Loss  0.892437, Average Loss  0.868625, Time  0.170401
2021-09-10 20:59:10.076837 : Epoch  2, Batch    222, Loss  0.859902, Average Loss  0.868681, Time  0.169776
2021-09-10 20:59:11.667732 : Epoch  2, Batch    223, Loss  0.868135, Average Loss  0.868784, Time  0.169745
2021-09-10 20:59:13.275794 : Epoch  2, Batch    224, Loss  0.886122, Average Loss  0.868772, Time  0.177696
2021-09-10 20:59:14.855033 : Epoch  2, Batch    225, Loss  0.893937, Average Loss  0.868812, Time  0.172061
2021-09-10 20:59:16.462024 : Epoch  2, Batch    226, Loss  0.902280, Average Loss  0.868977, Time  0.170562
2021-09-10 20:59:18.074516 : Epoch  2, Batch    227, Loss  0.864714, Average Loss  0.868981, Time  0.174291
2021-09-10 20:59:19.647194 : Epoch  2, Batch    228, Loss  0.877056, Average Loss  0.868935, Time  0.170614
2021-09-10 20:59:21.232080 : Epoch  2, Batch    229, Loss  0.859057, Average Loss  0.868937, Time  0.176380
2021-09-10 20:59:22.815136 : Epoch  2, Batch    230, Loss  0.855527, Average Loss  0.868757, Time  0.170050
2021-09-10 20:59:24.428755 : Epoch  2, Batch    231, Loss  0.875426, Average Loss  0.868908, Time  0.172680
2021-09-10 20:59:26.044745 : Epoch  2, Batch    232, Loss  0.863470, Average Loss  0.868913, Time  0.179434
2021-09-10 20:59:27.645333 : Epoch  2, Batch    233, Loss  0.852993, Average Loss  0.868842, Time  0.170349
2021-09-10 20:59:29.232788 : Epoch  2, Batch    234, Loss  0.822174, Average Loss  0.868617, Time  0.170035
2021-09-10 20:59:30.813855 : Epoch  2, Batch    235, Loss  0.908057, Average Loss  0.868883, Time  0.173214
2021-09-10 20:59:32.401024 : Epoch  2, Batch    236, Loss  0.854486, Average Loss  0.868808, Time  0.172350
2021-09-10 20:59:33.993863 : Epoch  2, Batch    237, Loss  0.880623, Average Loss  0.868765, Time  0.176216
2021-09-10 20:59:35.571036 : Epoch  2, Batch    238, Loss  0.865792, Average Loss  0.868686, Time  0.175196
2021-09-10 20:59:37.162444 : Epoch  2, Batch    239, Loss  0.898610, Average Loss  0.868841, Time  0.170801
2021-09-10 20:59:38.766753 : Epoch  2, Batch    240, Loss  0.904646, Average Loss  0.869094, Time  0.172111
2021-09-10 20:59:40.348027 : Epoch  2, Batch    241, Loss  0.856904, Average Loss  0.869046, Time  0.170885
2021-09-10 20:59:41.945829 : Epoch  2, Batch    242, Loss  0.877820, Average Loss  0.869083, Time  0.174227
2021-09-10 20:59:43.574013 : Epoch  2, Batch    243, Loss  0.868789, Average Loss  0.868899, Time  0.175600
2021-09-10 20:59:45.150991 : Epoch  2, Batch    244, Loss  0.871811, Average Loss  0.868847, Time  0.172482
2021-09-10 20:59:46.738025 : Epoch  2, Batch    245, Loss  0.856741, Average Loss  0.868643, Time  0.169881
2021-09-10 20:59:48.338779 : Epoch  2, Batch    246, Loss  0.865957, Average Loss  0.868582, Time  0.170357
2021-09-10 20:59:49.957046 : Epoch  2, Batch    247, Loss  0.912823, Average Loss  0.868740, Time  0.172282
2021-09-10 20:59:51.556010 : Epoch  2, Batch    248, Loss  0.858281, Average Loss  0.868872, Time  0.170009
2021-09-10 20:59:53.161840 : Epoch  2, Batch    249, Loss  0.898890, Average Loss  0.869031, Time  0.170854
2021-09-10 20:59:54.770021 : Epoch  2, Batch    250, Loss  0.905645, Average Loss  0.869269, Time  0.173243
2021-09-10 20:59:56.358015 : Epoch  2, Batch    251, Loss  0.846262, Average Loss  0.869084, Time  0.174166
2021-09-10 20:59:57.932892 : Epoch  2, Batch    252, Loss  0.881905, Average Loss  0.869157, Time  0.174642
2021-09-10 20:59:59.516803 : Epoch  2, Batch    253, Loss  0.859216, Average Loss  0.869326, Time  0.178994
2021-09-10 21:00:01.114824 : Epoch  2, Batch    254, Loss  0.880680, Average Loss  0.869442, Time  0.178772
2021-09-10 21:00:02.730730 : Epoch  2, Batch    255, Loss  0.861881, Average Loss  0.869336, Time  0.176951
2021-09-10 21:00:04.335013 : Epoch  2, Batch    256, Loss  0.861897, Average Loss  0.869397, Time  0.189992
2021-09-10 21:00:05.918024 : Epoch  2, Batch    257, Loss  0.871282, Average Loss  0.869446, Time  0.175911
2021-09-10 21:00:07.495041 : Epoch  2, Batch    258, Loss  0.843656, Average Loss  0.869062, Time  0.170652
2021-09-10 21:00:09.108027 : Epoch  2, Batch    259, Loss  0.872095, Average Loss  0.869036, Time  0.177032
2021-09-10 21:00:10.714061 : Epoch  2, Batch    260, Loss  0.877400, Average Loss  0.868990, Time  0.171646
2021-09-10 21:00:12.288871 : Epoch  2, Batch    261, Loss  0.865838, Average Loss  0.869059, Time  0.170839
2021-09-10 21:00:13.860021 : Epoch  2, Batch    262, Loss  0.858042, Average Loss  0.869001, Time  0.173194
2021-09-10 21:00:15.441067 : Epoch  2, Batch    263, Loss  0.874481, Average Loss  0.869002, Time  0.169722
2021-09-10 21:00:17.035022 : Epoch  2, Batch    264, Loss  0.838961, Average Loss  0.868853, Time  0.177321
2021-09-10 21:00:18.647020 : Epoch  2, Batch    265, Loss  0.865147, Average Loss  0.869041, Time  0.174007
2021-09-10 21:00:20.219031 : Epoch  2, Batch    266, Loss  0.893424, Average Loss  0.869173, Time  0.172864
2021-09-10 21:00:21.810733 : Epoch  2, Batch    267, Loss  0.855347, Average Loss  0.869120, Time  0.177815
2021-09-10 21:00:23.406075 : Epoch  2, Batch    268, Loss  0.848137, Average Loss  0.869111, Time  0.169703
2021-09-10 21:00:25.014014 : Epoch  2, Batch    269, Loss  0.891090, Average Loss  0.869426, Time  0.188543
2021-09-10 21:00:26.591666 : Epoch  2, Batch    270, Loss  0.845698, Average Loss  0.869292, Time  0.170329
2021-09-10 21:00:28.157891 : Epoch  2, Batch    271, Loss  0.848196, Average Loss  0.869220, Time  0.173881
2021-09-10 21:00:29.735629 : Epoch  2, Batch    272, Loss  0.861448, Average Loss  0.869230, Time  0.174468
2021-09-10 21:00:31.332860 : Epoch  2, Batch    273, Loss  0.843669, Average Loss  0.868994, Time  0.170312
2021-09-10 21:00:32.925070 : Epoch  2, Batch    274, Loss  0.861074, Average Loss  0.868914, Time  0.172881
2021-09-10 21:00:34.538038 : Epoch  2, Batch    275, Loss  0.863596, Average Loss  0.869070, Time  0.170454
2021-09-10 21:00:36.141022 : Epoch  2, Batch    276, Loss  0.874257, Average Loss  0.869099, Time  0.173122
2021-09-10 21:00:37.710771 : Epoch  2, Batch    277, Loss  0.877891, Average Loss  0.869174, Time  0.175191
2021-09-10 21:00:39.316021 : Epoch  2, Batch    278, Loss  0.888277, Average Loss  0.869112, Time  0.177330
2021-09-10 21:00:40.908021 : Epoch  2, Batch    279, Loss  0.832494, Average Loss  0.868889, Time  0.172781
2021-09-10 21:00:42.489029 : Epoch  2, Batch    280, Loss  0.865663, Average Loss  0.869000, Time  0.174350
2021-09-10 21:00:44.092054 : Epoch  2, Batch    281, Loss  0.866418, Average Loss  0.869054, Time  0.183889
2021-09-10 21:00:45.671820 : Epoch  2, Batch    282, Loss  0.867565, Average Loss  0.868896, Time  0.173903
2021-09-10 21:00:47.260018 : Epoch  2, Batch    283, Loss  0.838599, Average Loss  0.868770, Time  0.169931
2021-09-10 21:00:48.845865 : Epoch  2, Batch    284, Loss  0.881393, Average Loss  0.868956, Time  0.176588
2021-09-10 21:00:50.443072 : Epoch  2, Batch    285, Loss  0.861271, Average Loss  0.868734, Time  0.180942
2021-09-10 21:00:52.027034 : Epoch  2, Batch    286, Loss  0.845348, Average Loss  0.868546, Time  0.172862
2021-09-10 21:00:53.641018 : Epoch  2, Batch    287, Loss  0.839117, Average Loss  0.868409, Time  0.170037
2021-09-10 21:00:55.242052 : Epoch  2, Batch    288, Loss  0.899263, Average Loss  0.868684, Time  0.185328
2021-09-10 21:01:02.289040 : Epoch  2, Batch    289, Loss  0.851999, Average Loss  0.868538, Time  0.181199
2021-09-10 21:05:44.648726 : CheckPoint: Validation Loss  0.00062123, Best Loss  0.00058919
2021-09-10 21:05:46.252946 : Epoch  2, Batch    290, Loss  0.868550, Average Loss  0.868467, Time  0.178961
2021-09-10 21:05:47.836725 : Epoch  2, Batch    291, Loss  0.880259, Average Loss  0.868415, Time  0.172915
2021-09-10 21:05:49.428046 : Epoch  2, Batch    292, Loss  0.845111, Average Loss  0.868307, Time  0.173063
2021-09-10 21:05:51.017071 : Epoch  2, Batch    293, Loss  0.849438, Average Loss  0.868018, Time  0.170516
2021-09-10 21:05:52.604739 : Epoch  2, Batch    294, Loss  0.861574, Average Loss  0.867967, Time  0.172419
2021-09-10 21:05:54.194026 : Epoch  2, Batch    295, Loss  0.895367, Average Loss  0.867994, Time  0.173471
2021-09-10 21:05:55.792016 : Epoch  2, Batch    296, Loss  0.870527, Average Loss  0.868095, Time  0.170555
2021-09-10 21:05:57.395036 : Epoch  2, Batch    297, Loss  0.901272, Average Loss  0.868189, Time  0.170910
2021-09-10 21:05:58.993011 : Epoch  2, Batch    298, Loss  0.866818, Average Loss  0.868210, Time  0.180848
2021-09-10 21:06:00.584829 : Epoch  2, Batch    299, Loss  0.876332, Average Loss  0.868374, Time  0.174869
2021-09-10 21:06:02.175602 : Epoch  2, Batch    300, Loss  0.854498, Average Loss  0.868372, Time  0.169667
2021-09-10 21:06:03.771028 : Epoch  2, Batch    301, Loss  0.876173, Average Loss  0.868350, Time  0.170197
2021-09-10 21:06:05.372024 : Epoch  2, Batch    302, Loss  0.868609, Average Loss  0.868352, Time  0.172959
2021-09-10 21:06:06.976039 : Epoch  2, Batch    303, Loss  0.861525, Average Loss  0.868406, Time  0.173263
2021-09-10 21:06:08.571748 : Epoch  2, Batch    304, Loss  0.862368, Average Loss  0.868256, Time  0.175245
2021-09-10 21:06:10.178750 : Epoch  2, Batch    305, Loss  0.848892, Average Loss  0.868272, Time  0.175149
2021-09-10 21:06:11.782026 : Epoch  2, Batch    306, Loss  0.895698, Average Loss  0.868433, Time  0.170177
2021-09-10 21:06:13.421027 : Epoch  2, Batch    307, Loss  0.876173, Average Loss  0.868471, Time  0.173120
2021-09-10 21:06:15.019026 : Epoch  2, Batch    308, Loss  0.854369, Average Loss  0.868510, Time  0.176250
2021-09-10 21:06:16.604020 : Epoch  2, Batch    309, Loss  0.848193, Average Loss  0.868349, Time  0.169791
2021-09-10 21:06:18.181869 : Epoch  2, Batch    310, Loss  0.871655, Average Loss  0.868273, Time  0.178403
2021-09-10 21:06:19.760817 : Epoch  2, Batch    311, Loss  0.871659, Average Loss  0.868259, Time  0.171227
2021-09-10 21:06:21.372798 : Epoch  2, Batch    312, Loss  0.884692, Average Loss  0.868178, Time  0.170937
2021-09-10 21:06:22.951000 : Epoch  2, Batch    313, Loss  0.888259, Average Loss  0.868393, Time  0.176995
2021-09-10 21:06:24.545933 : Epoch  2, Batch    314, Loss  0.897499, Average Loss  0.868564, Time  0.173419
2021-09-10 21:06:26.158024 : Epoch  2, Batch    315, Loss  0.866447, Average Loss  0.868439, Time  0.177916
2021-09-10 21:06:27.751022 : Epoch  2, Batch    316, Loss  0.892594, Average Loss  0.868585, Time  0.173297
2021-09-10 21:06:29.352739 : Epoch  2, Batch    317, Loss  0.874256, Average Loss  0.868566, Time  0.172451
2021-09-10 21:06:30.941739 : Epoch  2, Batch    318, Loss  0.867964, Average Loss  0.868449, Time  0.169631
2021-09-10 21:06:32.582030 : Epoch  2, Batch    319, Loss  0.859517, Average Loss  0.868333, Time  0.170135
2021-09-10 21:06:34.185024 : Epoch  2, Batch    320, Loss  0.845851, Average Loss  0.868061, Time  0.192652
2021-09-10 21:06:35.766858 : Epoch  2, Batch    321, Loss  0.873565, Average Loss  0.868036, Time  0.181881
2021-09-10 21:06:37.372019 : Epoch  2, Batch    322, Loss  0.893416, Average Loss  0.868010, Time  0.178107
2021-09-10 21:06:38.972834 : Epoch  2, Batch    323, Loss  0.847651, Average Loss  0.867930, Time  0.182436
2021-09-10 21:06:40.551024 : Epoch  2, Batch    324, Loss  0.853621, Average Loss  0.868067, Time  0.174809
2021-09-10 21:06:42.128787 : Epoch  2, Batch    325, Loss  0.857891, Average Loss  0.867981, Time  0.170516
2021-09-10 21:06:43.741979 : Epoch  2, Batch    326, Loss  0.865638, Average Loss  0.868106, Time  0.175209
2021-09-10 21:06:45.351779 : Epoch  2, Batch    327, Loss  0.873147, Average Loss  0.867984, Time  0.173108
2021-09-10 21:06:46.931033 : Epoch  2, Batch    328, Loss  0.845971, Average Loss  0.867724, Time  0.172581
2021-09-10 21:06:48.515024 : Epoch  2, Batch    329, Loss  0.848149, Average Loss  0.867717, Time  0.171608
2021-09-10 21:06:50.107811 : Epoch  2, Batch    330, Loss  0.882305, Average Loss  0.867788, Time  0.179896
2021-09-10 21:06:51.702873 : Epoch  2, Batch    331, Loss  0.872729, Average Loss  0.867802, Time  0.173784
2021-09-10 21:06:53.300943 : Epoch  2, Batch    332, Loss  0.867020, Average Loss  0.867908, Time  0.173766
2021-09-10 21:06:54.900793 : Epoch  2, Batch    333, Loss  0.882664, Average Loss  0.868041, Time  0.169732
2021-09-10 21:06:56.488746 : Epoch  2, Batch    334, Loss  0.882795, Average Loss  0.868023, Time  0.170082
2021-09-10 21:06:58.076834 : Epoch  2, Batch    335, Loss  0.883321, Average Loss  0.867933, Time  0.169684
2021-09-10 21:06:59.673364 : Epoch  2, Batch    336, Loss  0.899834, Average Loss  0.867962, Time  0.169739
2021-09-10 21:07:01.239020 : Epoch  2, Batch    337, Loss  0.900997, Average Loss  0.868021, Time  0.171893
2021-09-10 21:07:02.832028 : Epoch  2, Batch    338, Loss  0.849785, Average Loss  0.867989, Time  0.170705
2021-09-10 21:07:04.428736 : Epoch  2, Batch    339, Loss  0.835721, Average Loss  0.867825, Time  0.179709
2021-09-10 21:07:06.020027 : Epoch  2, Batch    340, Loss  0.883218, Average Loss  0.867947, Time  0.173334
2021-09-10 21:07:07.625773 : Epoch  2, Batch    341, Loss  0.881216, Average Loss  0.868032, Time  0.171324
2021-09-10 21:07:09.196074 : Epoch  2, Batch    342, Loss  0.889155, Average Loss  0.868061, Time  0.170712
2021-09-10 21:07:10.776056 : Epoch  2, Batch    343, Loss  0.883445, Average Loss  0.868080, Time  0.179748
2021-09-10 21:07:12.353836 : Epoch  2, Batch    344, Loss  0.863813, Average Loss  0.868036, Time  0.169923
2021-09-10 21:07:13.930828 : Epoch  2, Batch    345, Loss  0.862086, Average Loss  0.867949, Time  0.169912
2021-09-10 21:07:15.526013 : Epoch  2, Batch    346, Loss  0.862864, Average Loss  0.867830, Time  0.177210
2021-09-10 21:07:17.132779 : Epoch  2, Batch    347, Loss  0.896704, Average Loss  0.867989, Time  0.177697
2021-09-10 21:07:18.728866 : Epoch  2, Batch    348, Loss  0.891340, Average Loss  0.868224, Time  0.191715
2021-09-10 21:07:20.331077 : Epoch  2, Batch    349, Loss  0.900040, Average Loss  0.868428, Time  0.173277
2021-09-10 21:07:21.923745 : Epoch  2, Batch    350, Loss  0.877779, Average Loss  0.868455, Time  0.172333
2021-09-10 21:07:23.522864 : Epoch  2, Batch    351, Loss  0.859587, Average Loss  0.868462, Time  0.181996
2021-09-10 21:07:25.104073 : Epoch  2, Batch    352, Loss  0.888351, Average Loss  0.868511, Time  0.171940
2021-09-10 21:07:26.689089 : Epoch  2, Batch    353, Loss  0.869869, Average Loss  0.868637, Time  0.170153
2021-09-10 21:07:28.270742 : Epoch  2, Batch    354, Loss  0.895355, Average Loss  0.868731, Time  0.171123
2021-09-10 21:07:29.887050 : Epoch  2, Batch    355, Loss  0.871876, Average Loss  0.868933, Time  0.176894
2021-09-10 21:07:31.474789 : Epoch  2, Batch    356, Loss  0.852475, Average Loss  0.868970, Time  0.171196
2021-09-10 21:07:33.067754 : Epoch  2, Batch    357, Loss  0.852770, Average Loss  0.868902, Time  0.169952
2021-09-10 21:07:34.665024 : Epoch  2, Batch    358, Loss  0.865281, Average Loss  0.868915, Time  0.170780
2021-09-10 21:07:36.241840 : Epoch  2, Batch    359, Loss  0.882562, Average Loss  0.869093, Time  0.172916
2021-09-10 21:07:37.827902 : Epoch  2, Batch    360, Loss  0.842204, Average Loss  0.869109, Time  0.176150
2021-09-10 21:07:39.414744 : Epoch  2, Batch    361, Loss  0.874757, Average Loss  0.869206, Time  0.170290
2021-09-10 21:07:41.014746 : Epoch  2, Batch    362, Loss  0.872296, Average Loss  0.869187, Time  0.171689
2021-09-10 21:07:42.618866 : Epoch  2, Batch    363, Loss  0.856576, Average Loss  0.869028, Time  0.170762
2021-09-10 21:07:44.210938 : Epoch  2, Batch    364, Loss  0.861827, Average Loss  0.869073, Time  0.172479
2021-09-10 21:07:45.835746 : Epoch  2, Batch    365, Loss  0.860256, Average Loss  0.869112, Time  0.172656
2021-09-10 21:07:47.437030 : Epoch  2, Batch    366, Loss  0.837149, Average Loss  0.869004, Time  0.172676
2021-09-10 21:07:49.023770 : Epoch  2, Batch    367, Loss  0.869871, Average Loss  0.868783, Time  0.170621
2021-09-10 21:07:50.626021 : Epoch  2, Batch    368, Loss  0.867788, Average Loss  0.868824, Time  0.172960
2021-09-10 21:07:52.245760 : Epoch  2, Batch    369, Loss  0.877754, Average Loss  0.869011, Time  0.173091
2021-09-10 21:07:53.836877 : Epoch  2, Batch    370, Loss  0.895006, Average Loss  0.869168, Time  0.170291
2021-09-10 21:07:55.429626 : Epoch  2, Batch    371, Loss  0.867287, Average Loss  0.869268, Time  0.169968
2021-09-10 21:07:57.016682 : Epoch  2, Batch    372, Loss  0.861867, Average Loss  0.869202, Time  0.169700
2021-09-10 21:07:58.588746 : Epoch  2, Batch    373, Loss  0.880795, Average Loss  0.869272, Time  0.175348
2021-09-10 21:08:00.160712 : Epoch  2, Batch    374, Loss  0.867716, Average Loss  0.869407, Time  0.173429
2021-09-10 21:08:01.758726 : Epoch  2, Batch    375, Loss  0.859486, Average Loss  0.869272, Time  0.180217
2021-09-10 21:08:03.357948 : Epoch  2, Batch    376, Loss  0.850766, Average Loss  0.869247, Time  0.177763
2021-09-10 21:08:04.959037 : Epoch  2, Batch    377, Loss  0.878915, Average Loss  0.869287, Time  0.179114
2021-09-10 21:08:06.547779 : Epoch  2, Batch    378, Loss  0.873752, Average Loss  0.869291, Time  0.170289
2021-09-10 21:08:08.184769 : Epoch  2, Batch    379, Loss  0.888990, Average Loss  0.869355, Time  0.175568
2021-09-10 21:08:09.786820 : Epoch  2, Batch    380, Loss  0.881602, Average Loss  0.869470, Time  0.171861
2021-09-10 21:08:11.380789 : Epoch  2, Batch    381, Loss  0.861761, Average Loss  0.869529, Time  0.173518
2021-09-10 21:08:12.994801 : Epoch  2, Batch    382, Loss  0.865642, Average Loss  0.869596, Time  0.176393
2021-09-10 21:08:14.570859 : Epoch  2, Batch    383, Loss  0.878579, Average Loss  0.869628, Time  0.169793
2021-09-10 21:08:16.159752 : Epoch  2, Batch    384, Loss  0.895197, Average Loss  0.869603, Time  0.171838
2021-09-10 21:08:17.765037 : Epoch  2, Batch    385, Loss  0.877486, Average Loss  0.869662, Time  0.170164
2021-09-10 21:08:19.365835 : Epoch  2, Batch    386, Loss  0.849023, Average Loss  0.869482, Time  0.175934
2021-09-10 21:08:20.944761 : Epoch  2, Batch    387, Loss  0.841522, Average Loss  0.869301, Time  0.172831
2021-09-10 21:08:22.512026 : Epoch  2, Batch    388, Loss  0.893122, Average Loss  0.869396, Time  0.174805
2021-09-10 21:08:24.092790 : Epoch  2, Batch    389, Loss  0.837750, Average Loss  0.869245, Time  0.176286
2021-09-10 21:13:07.212725 : CheckPoint: Validation Loss  0.00059784, Best Loss  0.00058919
2021-09-10 21:13:08.831996 : Epoch  2, Batch    390, Loss  0.873466, Average Loss  0.869315, Time  0.177210
2021-09-10 21:13:10.433755 : Epoch  2, Batch    391, Loss  0.860313, Average Loss  0.869330, Time  0.174602
2021-09-10 21:13:12.022177 : Epoch  2, Batch    392, Loss  0.876905, Average Loss  0.869471, Time  0.169905
2021-09-10 21:13:13.600068 : Epoch  2, Batch    393, Loss  0.880713, Average Loss  0.869548, Time  0.171257
2021-09-10 21:13:15.185815 : Epoch  2, Batch    394, Loss  0.875983, Average Loss  0.869551, Time  0.170849
2021-09-10 21:13:16.811910 : Epoch  2, Batch    395, Loss  0.899459, Average Loss  0.869892, Time  0.176322
2021-09-10 21:13:18.441819 : Epoch  2, Batch    396, Loss  0.889115, Average Loss  0.870022, Time  0.183522
2021-09-10 21:13:20.056029 : Epoch  2, Batch    397, Loss  0.877048, Average Loss  0.870109, Time  0.173418
2021-09-10 21:13:21.675736 : Epoch  2, Batch    398, Loss  0.881056, Average Loss  0.870085, Time  0.184690
2021-09-10 21:13:23.309741 : Epoch  2, Batch    399, Loss  0.866290, Average Loss  0.870261, Time  0.179618
2021-09-10 21:13:24.881025 : Epoch  2, Batch    400, Loss  0.870964, Average Loss  0.870171, Time  0.176737
2021-09-10 21:13:26.481873 : Epoch  2, Batch    401, Loss  0.860959, Average Loss  0.870292, Time  0.173433
2021-09-10 21:13:28.046794 : Epoch  2, Batch    402, Loss  0.860067, Average Loss  0.870203, Time  0.169720
2021-09-10 21:13:29.621884 : Epoch  2, Batch    403, Loss  0.867367, Average Loss  0.870139, Time  0.173228
2021-09-10 21:13:31.211053 : Epoch  2, Batch    404, Loss  0.859142, Average Loss  0.869968, Time  0.172265
2021-09-10 21:13:32.777788 : Epoch  2, Batch    405, Loss  0.886174, Average Loss  0.870178, Time  0.172379
2021-09-10 21:13:34.380836 : Epoch  2, Batch    406, Loss  0.878419, Average Loss  0.870184, Time  0.176021
2021-09-10 21:13:35.955966 : Epoch  2, Batch    407, Loss  0.899164, Average Loss  0.870300, Time  0.176419
2021-09-10 21:13:37.514738 : Epoch  2, Batch    408, Loss  0.873042, Average Loss  0.870194, Time  0.169926
2021-09-10 21:13:39.114035 : Epoch  2, Batch    409, Loss  0.866667, Average Loss  0.870144, Time  0.170285
2021-09-10 21:13:40.694020 : Epoch  2, Batch    410, Loss  0.868700, Average Loss  0.870095, Time  0.171428
2021-09-10 21:13:42.279032 : Epoch  2, Batch    411, Loss  0.862155, Average Loss  0.869926, Time  0.170348
2021-09-10 21:13:43.903011 : Epoch  2, Batch    412, Loss  0.861820, Average Loss  0.869990, Time  0.177444
2021-09-10 21:13:45.510791 : Epoch  2, Batch    413, Loss  0.840577, Average Loss  0.869927, Time  0.176813
2021-09-10 21:13:47.087857 : Epoch  2, Batch    414, Loss  0.858758, Average Loss  0.869970, Time  0.170771
2021-09-10 21:13:48.691861 : Epoch  2, Batch    415, Loss  0.866314, Average Loss  0.869905, Time  0.177745
2021-09-10 21:13:50.259806 : Epoch  2, Batch    416, Loss  0.871324, Average Loss  0.870032, Time  0.169616
2021-09-10 21:13:51.856903 : Epoch  2, Batch    417, Loss  0.880493, Average Loss  0.870064, Time  0.170113
2021-09-10 21:13:53.428866 : Epoch  2, Batch    418, Loss  0.863012, Average Loss  0.870053, Time  0.173847
2021-09-10 21:13:55.003767 : Epoch  2, Batch    419, Loss  0.897289, Average Loss  0.870122, Time  0.171983
2021-09-10 21:13:56.578841 : Epoch  2, Batch    420, Loss  0.877471, Average Loss  0.870121, Time  0.176198
2021-09-10 21:13:58.210755 : Epoch  2, Batch    421, Loss  0.853580, Average Loss  0.869927, Time  0.178953
2021-09-10 21:13:59.814816 : Epoch  2, Batch    422, Loss  0.875535, Average Loss  0.870005, Time  0.179685
2021-09-10 21:14:01.390898 : Epoch  2, Batch    423, Loss  0.848064, Average Loss  0.869904, Time  0.170424
2021-09-10 21:14:02.979836 : Epoch  2, Batch    424, Loss  0.884233, Average Loss  0.869895, Time  0.180622
2021-09-10 21:14:04.591865 : Epoch  2, Batch    425, Loss  0.877595, Average Loss  0.869813, Time  0.170588
2021-09-10 21:14:06.153025 : Epoch  2, Batch    426, Loss  0.871671, Average Loss  0.869660, Time  0.173357
2021-09-10 21:14:07.807733 : Epoch  2, Batch    427, Loss  0.838140, Average Loss  0.869527, Time  0.177270
2021-09-10 21:14:09.401019 : Epoch  2, Batch    428, Loss  0.873279, Average Loss  0.869509, Time  0.169870
2021-09-10 21:14:10.976886 : Epoch  2, Batch    429, Loss  0.876694, Average Loss  0.869597, Time  0.171613
2021-09-10 21:14:12.587025 : Epoch  2, Batch    430, Loss  0.908769, Average Loss  0.869863, Time  0.175397
2021-09-10 21:14:14.190803 : Epoch  2, Batch    431, Loss  0.886558, Average Loss  0.869919, Time  0.169625
2021-09-10 21:14:15.821039 : Epoch  2, Batch    432, Loss  0.849641, Average Loss  0.869849, Time  0.175476
2021-09-10 21:14:17.452029 : Epoch  2, Batch    433, Loss  0.859123, Average Loss  0.869880, Time  0.169636
2021-09-10 21:14:19.049922 : Epoch  2, Batch    434, Loss  0.841658, Average Loss  0.869978, Time  0.170915
2021-09-10 21:14:20.648779 : Epoch  2, Batch    435, Loss  0.865098, Average Loss  0.869763, Time  0.173080
2021-09-10 21:14:22.236734 : Epoch  2, Batch    436, Loss  0.909616, Average Loss  0.870038, Time  0.169871
2021-09-10 21:14:23.830037 : Epoch  2, Batch    437, Loss  0.895149, Average Loss  0.870111, Time  0.169654
2021-09-10 21:14:25.451746 : Epoch  2, Batch    438, Loss  0.888460, Average Loss  0.870224, Time  0.170216
2021-09-10 21:14:27.038779 : Epoch  2, Batch    439, Loss  0.851208, Average Loss  0.869987, Time  0.169512
2021-09-10 21:14:28.663808 : Epoch  2, Batch    440, Loss  0.901761, Average Loss  0.869973, Time  0.176947
2021-09-10 21:14:30.268029 : Epoch  2, Batch    441, Loss  0.837203, Average Loss  0.869874, Time  0.170551
2021-09-10 21:14:31.877835 : Epoch  2, Batch    442, Loss  0.867637, Average Loss  0.869823, Time  0.173553
2021-09-10 21:14:33.475033 : Epoch  2, Batch    443, Loss  0.874392, Average Loss  0.869851, Time  0.171831
2021-09-10 21:14:35.085800 : Epoch  2, Batch    444, Loss  0.874864, Average Loss  0.869867, Time  0.175447
2021-09-10 21:14:36.689848 : Epoch  2, Batch    445, Loss  0.897414, Average Loss  0.870070, Time  0.173847
2021-09-10 21:14:38.283861 : Epoch  2, Batch    446, Loss  0.847938, Average Loss  0.869980, Time  0.170045
2021-09-10 21:14:39.893744 : Epoch  2, Batch    447, Loss  0.835417, Average Loss  0.869593, Time  0.172931
2021-09-10 21:14:41.498748 : Epoch  2, Batch    448, Loss  0.903385, Average Loss  0.869819, Time  0.169685
2021-09-10 21:14:43.080817 : Epoch  2, Batch    449, Loss  0.869061, Average Loss  0.869669, Time  0.173305
2021-09-10 21:14:44.703796 : Epoch  2, Batch    450, Loss  0.868303, Average Loss  0.869483, Time  0.177184
2021-09-10 21:14:46.313833 : Epoch  2, Batch    451, Loss  0.861006, Average Loss  0.869556, Time  0.177974
2021-09-10 21:14:47.916032 : Epoch  2, Batch    452, Loss  0.886310, Average Loss  0.869578, Time  0.174128
2021-09-10 21:14:49.518039 : Epoch  2, Batch    453, Loss  0.834696, Average Loss  0.869456, Time  0.172416
2021-09-10 21:14:51.113987 : Epoch  2, Batch    454, Loss  0.896705, Average Loss  0.869536, Time  0.170049
2021-09-10 21:14:52.735809 : Epoch  2, Batch    455, Loss  0.866758, Average Loss  0.869560, Time  0.169680
2021-09-10 21:14:54.353011 : Epoch  2, Batch    456, Loss  0.834004, Average Loss  0.869421, Time  0.169638
2021-09-10 21:14:55.987781 : Epoch  2, Batch    457, Loss  0.861990, Average Loss  0.869374, Time  0.170095
2021-09-10 21:14:57.611809 : Epoch  2, Batch    458, Loss  0.908402, Average Loss  0.869698, Time  0.170017
2021-09-10 21:14:59.216784 : Epoch  2, Batch    459, Loss  0.892369, Average Loss  0.869799, Time  0.174328
2021-09-10 21:15:00.795963 : Epoch  2, Batch    460, Loss  0.894075, Average Loss  0.869883, Time  0.173546
2021-09-10 21:15:02.377814 : Epoch  2, Batch    461, Loss  0.856061, Average Loss  0.869834, Time  0.171407
2021-09-10 21:15:03.990764 : Epoch  2, Batch    462, Loss  0.849171, Average Loss  0.869790, Time  0.181405
2021-09-10 21:15:05.564018 : Epoch  2, Batch    463, Loss  0.855752, Average Loss  0.869696, Time  0.169909
2021-09-10 21:15:07.146752 : Epoch  2, Batch    464, Loss  0.894158, Average Loss  0.869972, Time  0.174529
2021-09-10 21:15:08.760855 : Epoch  2, Batch    465, Loss  0.876437, Average Loss  0.870028, Time  0.169662
2021-09-10 21:15:10.336115 : Epoch  2, Batch    466, Loss  0.878448, Average Loss  0.869954, Time  0.173261
2021-09-10 21:15:11.935811 : Epoch  2, Batch    467, Loss  0.840043, Average Loss  0.869877, Time  0.170349
2021-09-10 21:15:13.549945 : Epoch  2, Batch    468, Loss  0.876898, Average Loss  0.870021, Time  0.170061
2021-09-10 21:15:15.169031 : Epoch  2, Batch    469, Loss  0.868087, Average Loss  0.869906, Time  0.172076
2021-09-10 21:15:16.776816 : Epoch  2, Batch    470, Loss  0.830050, Average Loss  0.869828, Time  0.170184
2021-09-10 21:15:18.374029 : Epoch  2, Batch    471, Loss  0.897963, Average Loss  0.870076, Time  0.170047
2021-09-10 21:15:19.968742 : Epoch  2, Batch    472, Loss  0.902214, Average Loss  0.870280, Time  0.173898
2021-09-10 21:15:21.576821 : Epoch  2, Batch    473, Loss  0.906463, Average Loss  0.870594, Time  0.172743
2021-09-10 21:15:23.193824 : Epoch  2, Batch    474, Loss  0.901768, Average Loss  0.870798, Time  0.173425
2021-09-10 21:15:24.784756 : Epoch  2, Batch    475, Loss  0.863591, Average Loss  0.870798, Time  0.170038
2021-09-10 21:15:26.382025 : Epoch  2, Batch    476, Loss  0.861277, Average Loss  0.870733, Time  0.175460
2021-09-10 21:15:27.977751 : Epoch  2, Batch    477, Loss  0.860813, Average Loss  0.870647, Time  0.176901
2021-09-10 21:15:29.582797 : Epoch  2, Batch    478, Loss  0.867527, Average Loss  0.870544, Time  0.169929
2021-09-10 21:15:31.158020 : Epoch  2, Batch    479, Loss  0.902662, Average Loss  0.870894, Time  0.170573
2021-09-10 21:15:32.754765 : Epoch  2, Batch    480, Loss  0.887808, Average Loss  0.871005, Time  0.169925
2021-09-10 21:15:34.348908 : Epoch  2, Batch    481, Loss  0.861869, Average Loss  0.870982, Time  0.173843
2021-09-10 21:15:35.940815 : Epoch  2, Batch    482, Loss  0.846475, Average Loss  0.870877, Time  0.170713
2021-09-10 21:15:37.527767 : Epoch  2, Batch    483, Loss  0.906424, Average Loss  0.871216, Time  0.173352
2021-09-10 21:15:39.104849 : Epoch  2, Batch    484, Loss  0.868582, Average Loss  0.871152, Time  0.170119
2021-09-10 21:15:40.691038 : Epoch  2, Batch    485, Loss  0.837071, Average Loss  0.871031, Time  0.173645
2021-09-10 21:15:42.281736 : Epoch  2, Batch    486, Loss  0.890077, Average Loss  0.871255, Time  0.169996
2021-09-10 21:15:43.872740 : Epoch  2, Batch    487, Loss  0.892974, Average Loss  0.871524, Time  0.172900
2021-09-10 21:15:45.476027 : Epoch  2, Batch    488, Loss  0.877623, Average Loss  0.871416, Time  0.170060
2021-09-10 21:15:47.076029 : Epoch  2, Batch    489, Loss  0.850427, Average Loss  0.871408, Time  0.173317
2021-09-10 21:20:30.492728 : CheckPoint: Validation Loss  0.00060746, Best Loss  0.00058919
2021-09-10 21:20:32.098882 : Epoch  2, Batch    490, Loss  0.871525, Average Loss  0.871423, Time  0.178300
2021-09-10 21:20:33.712824 : Epoch  2, Batch    491, Loss  0.852309, Average Loss  0.871283, Time  0.176790
2021-09-10 21:20:35.295803 : Epoch  2, Batch    492, Loss  0.856823, Average Loss  0.871342, Time  0.170096
2021-09-10 21:20:36.886468 : Epoch  2, Batch    493, Loss  0.870838, Average Loss  0.871449, Time  0.170346
2021-09-10 21:20:38.494815 : Epoch  2, Batch    494, Loss  0.862150, Average Loss  0.871451, Time  0.169637
2021-09-10 21:20:40.078020 : Epoch  2, Batch    495, Loss  0.893338, Average Loss  0.871441, Time  0.178802
2021-09-10 21:20:41.665774 : Epoch  2, Batch    496, Loss  0.869606, Average Loss  0.871437, Time  0.170835
2021-09-10 21:20:43.267074 : Epoch  2, Batch    497, Loss  0.861861, Average Loss  0.871240, Time  0.169812
2021-09-10 21:20:44.845740 : Epoch  2, Batch    498, Loss  0.886362, Average Loss  0.871337, Time  0.173115
2021-09-10 21:20:46.456019 : Epoch  2, Batch    499, Loss  0.863137, Average Loss  0.871271, Time  0.169926
2021-09-10 21:20:48.075865 : Epoch  2, Batch    500, Loss  0.857458, Average Loss  0.871286, Time  0.177105
2021-09-10 21:20:49.655825 : Epoch  2, Batch    501, Loss  0.901835, Average Loss  0.871415, Time  0.172519
2021-09-10 21:20:51.312978 : Epoch  2, Batch    502, Loss  0.879788, Average Loss  0.871470, Time  0.171422
2021-09-10 21:20:52.903040 : Epoch  2, Batch    503, Loss  0.871233, Average Loss  0.871519, Time  0.172592
2021-09-10 21:20:54.480746 : Epoch  2, Batch    504, Loss  0.870919, Average Loss  0.871562, Time  0.173899
2021-09-10 21:20:56.052891 : Epoch  2, Batch    505, Loss  0.849361, Average Loss  0.871564, Time  0.170569
2021-09-10 21:20:57.657781 : Epoch  2, Batch    506, Loss  0.833686, Average Loss  0.871254, Time  0.169668
2021-09-10 21:20:59.254982 : Epoch  2, Batch    507, Loss  0.879069, Average Loss  0.871268, Time  0.170943
2021-09-10 21:21:00.880726 : Epoch  2, Batch    508, Loss  0.885233, Average Loss  0.871423, Time  0.180157
2021-09-10 21:21:02.477742 : Epoch  2, Batch    509, Loss  0.869869, Average Loss  0.871531, Time  0.174157
2021-09-10 21:21:04.084830 : Epoch  2, Batch    510, Loss  0.866552, Average Loss  0.871506, Time  0.170107
2021-09-10 21:21:05.665804 : Epoch  2, Batch    511, Loss  0.881546, Average Loss  0.871555, Time  0.169924
2021-09-10 21:21:07.233759 : Epoch  2, Batch    512, Loss  0.881610, Average Loss  0.871540, Time  0.171726
2021-09-10 21:21:08.800773 : Epoch  2, Batch    513, Loss  0.858564, Average Loss  0.871391, Time  0.172668
2021-09-10 21:21:10.407746 : Epoch  2, Batch    514, Loss  0.893071, Average Loss  0.871369, Time  0.177305
2021-09-10 21:21:12.015814 : Epoch  2, Batch    515, Loss  0.866057, Average Loss  0.871367, Time  0.172338
2021-09-10 21:21:13.600816 : Epoch  2, Batch    516, Loss  0.871990, Average Loss  0.871264, Time  0.170588
2021-09-10 21:21:15.197739 : Epoch  2, Batch    517, Loss  0.864275, Average Loss  0.871214, Time  0.176172
2021-09-10 21:21:16.766753 : Epoch  2, Batch    518, Loss  0.850887, Average Loss  0.871129, Time  0.174384
2021-09-10 21:21:18.364815 : Epoch  2, Batch    519, Loss  0.897861, Average Loss  0.871321, Time  0.174037
2021-09-10 21:21:19.975754 : Epoch  2, Batch    520, Loss  0.860726, Average Loss  0.871395, Time  0.173193
2021-09-10 21:21:21.570735 : Epoch  2, Batch    521, Loss  0.891272, Average Loss  0.871483, Time  0.172022
2021-09-10 21:21:23.165026 : Epoch  2, Batch    522, Loss  0.842356, Average Loss  0.871228, Time  0.173707
2021-09-10 21:21:24.765032 : Epoch  2, Batch    523, Loss  0.852753, Average Loss  0.871254, Time  0.171871
2021-09-10 21:21:26.358793 : Epoch  2, Batch    524, Loss  0.894815, Average Loss  0.871460, Time  0.171394
2021-09-10 21:21:27.958033 : Epoch  2, Batch    525, Loss  0.854666, Average Loss  0.871444, Time  0.176315
2021-09-10 21:21:29.566877 : Epoch  2, Batch    526, Loss  0.848990, Average Loss  0.871360, Time  0.179081
2021-09-10 21:21:31.201737 : Epoch  2, Batch    527, Loss  0.838903, Average Loss  0.871189, Time  0.171198
2021-09-10 21:21:32.812749 : Epoch  2, Batch    528, Loss  0.876859, Average Loss  0.871343, Time  0.174441
2021-09-10 21:21:34.410815 : Epoch  2, Batch    529, Loss  0.895254, Average Loss  0.871579, Time  0.171856
2021-09-10 21:21:36.004028 : Epoch  2, Batch    530, Loss  0.871986, Average Loss  0.871527, Time  0.169660
2021-09-10 21:21:37.594772 : Epoch  2, Batch    531, Loss  0.889408, Average Loss  0.871611, Time  0.173742
2021-09-10 21:21:39.214878 : Epoch  2, Batch    532, Loss  0.841456, Average Loss  0.871483, Time  0.170800
2021-09-10 21:21:40.805757 : Epoch  2, Batch    533, Loss  0.843209, Average Loss  0.871286, Time  0.171090
2021-09-10 21:21:42.393770 : Epoch  2, Batch    534, Loss  0.854077, Average Loss  0.871142, Time  0.172570
2021-09-10 21:21:43.962664 : Epoch  2, Batch    535, Loss  0.880291, Average Loss  0.871127, Time  0.173500
2021-09-10 21:21:45.550028 : Epoch  2, Batch    536, Loss  0.883938, Average Loss  0.871047, Time  0.176037
2021-09-10 21:21:47.142779 : Epoch  2, Batch    537, Loss  0.879518, Average Loss  0.870940, Time  0.170062
2021-09-10 21:21:48.762738 : Epoch  2, Batch    538, Loss  0.842793, Average Loss  0.870905, Time  0.170425
2021-09-10 21:21:50.363797 : Epoch  2, Batch    539, Loss  0.863736, Average Loss  0.871045, Time  0.173290
2021-09-10 21:21:51.960756 : Epoch  2, Batch    540, Loss  0.870675, Average Loss  0.870982, Time  0.173633
2021-09-10 21:21:53.546813 : Epoch  2, Batch    541, Loss  0.856202, Average Loss  0.870857, Time  0.169370
2021-09-10 21:21:55.140826 : Epoch  2, Batch    542, Loss  0.889689, Average Loss  0.870860, Time  0.178177
2021-09-10 21:21:56.731752 : Epoch  2, Batch    543, Loss  0.864296, Average Loss  0.870764, Time  0.170161
2021-09-10 21:21:58.362809 : Epoch  2, Batch    544, Loss  0.869229, Average Loss  0.870791, Time  0.170464
2021-09-10 21:21:59.992033 : Epoch  2, Batch    545, Loss  0.888875, Average Loss  0.870925, Time  0.170998
2021-09-10 21:22:01.565797 : Epoch  2, Batch    546, Loss  0.846534, Average Loss  0.870844, Time  0.170030
2021-09-10 21:22:03.147775 : Epoch  2, Batch    547, Loss  0.867337, Average Loss  0.870697, Time  0.174658
2021-09-10 21:22:04.716033 : Epoch  2, Batch    548, Loss  0.865317, Average Loss  0.870567, Time  0.169606
2021-09-10 21:22:06.308947 : Epoch  2, Batch    549, Loss  0.885651, Average Loss  0.870495, Time  0.173939
2021-09-10 21:22:07.929730 : Epoch  2, Batch    550, Loss  0.867362, Average Loss  0.870443, Time  0.183896
2021-09-10 21:22:09.524042 : Epoch  2, Batch    551, Loss  0.868857, Average Loss  0.870489, Time  0.172922
2021-09-10 21:22:11.108787 : Epoch  2, Batch    552, Loss  0.869333, Average Loss  0.870394, Time  0.170097
2021-09-10 21:22:12.716729 : Epoch  2, Batch    553, Loss  0.882032, Average Loss  0.870455, Time  0.170178
2021-09-10 21:22:14.314835 : Epoch  2, Batch    554, Loss  0.859398, Average Loss  0.870275, Time  0.171698
2021-09-10 21:22:15.961853 : Epoch  2, Batch    555, Loss  0.866505, Average Loss  0.870248, Time  0.175029
2021-09-10 21:22:17.581864 : Epoch  2, Batch    556, Loss  0.881766, Average Loss  0.870395, Time  0.170601
2021-09-10 21:22:19.184024 : Epoch  2, Batch    557, Loss  0.894206, Average Loss  0.870602, Time  0.180173
2021-09-10 21:22:20.778445 : Epoch  2, Batch    558, Loss  0.871483, Average Loss  0.870633, Time  0.174128
2021-09-10 21:22:22.367022 : Epoch  2, Batch    559, Loss  0.877950, Average Loss  0.870610, Time  0.170110
2021-09-10 21:22:23.975781 : Epoch  2, Batch    560, Loss  0.872202, Average Loss  0.870760, Time  0.177393
2021-09-10 21:22:25.563030 : Epoch  2, Batch    561, Loss  0.859732, Average Loss  0.870685, Time  0.170542
2021-09-10 21:22:27.179574 : Epoch  2, Batch    562, Loss  0.911196, Average Loss  0.870879, Time  0.169974
2021-09-10 21:22:28.759727 : Epoch  2, Batch    563, Loss  0.854822, Average Loss  0.870870, Time  0.170463
2021-09-10 21:22:30.363030 : Epoch  2, Batch    564, Loss  0.870852, Average Loss  0.870915, Time  0.177656
2021-09-10 21:22:31.978752 : Epoch  2, Batch    565, Loss  0.930464, Average Loss  0.871267, Time  0.181401
2021-09-10 21:22:33.564030 : Epoch  2, Batch    566, Loss  0.857242, Average Loss  0.871367, Time  0.173748
2021-09-10 21:22:35.174733 : Epoch  2, Batch    567, Loss  0.880556, Average Loss  0.871420, Time  0.170078
2021-09-10 21:22:36.779800 : Epoch  2, Batch    568, Loss  0.875227, Average Loss  0.871458, Time  0.169687
2021-09-10 21:22:38.384765 : Epoch  2, Batch    569, Loss  0.895660, Average Loss  0.871547, Time  0.175713
2021-09-10 21:22:39.971046 : Epoch  2, Batch    570, Loss  0.910322, Average Loss  0.871624, Time  0.171736
2021-09-10 21:22:41.551033 : Epoch  2, Batch    571, Loss  0.866827, Average Loss  0.871621, Time  0.170031
2021-09-10 21:22:43.130820 : Epoch  2, Batch    572, Loss  0.860176, Average Loss  0.871613, Time  0.169995
2021-09-10 21:22:44.727028 : Epoch  2, Batch    573, Loss  0.854072, Average Loss  0.871479, Time  0.171569
2021-09-10 21:22:46.327032 : Epoch  2, Batch    574, Loss  0.908795, Average Loss  0.871685, Time  0.169896
2021-09-10 21:22:47.934864 : Epoch  2, Batch    575, Loss  0.865675, Average Loss  0.871716, Time  0.171453
2021-09-10 21:22:49.527772 : Epoch  2, Batch    576, Loss  0.863302, Average Loss  0.871778, Time  0.173446
2021-09-10 21:22:51.116851 : Epoch  2, Batch    577, Loss  0.896655, Average Loss  0.871867, Time  0.173732
2021-09-10 21:22:52.695903 : Epoch  2, Batch    578, Loss  0.861767, Average Loss  0.871807, Time  0.170797
2021-09-10 21:22:54.291026 : Epoch  2, Batch    579, Loss  0.877896, Average Loss  0.871752, Time  0.174124
2021-09-10 21:22:55.878025 : Epoch  2, Batch    580, Loss  0.812851, Average Loss  0.871408, Time  0.174008
2021-09-10 21:22:57.482073 : Epoch  2, Batch    581, Loss  0.866892, Average Loss  0.871434, Time  0.175343
2021-09-10 21:22:59.066603 : Epoch  2, Batch    582, Loss  0.890628, Average Loss  0.871559, Time  0.173635
2021-09-10 21:23:00.659832 : Epoch  2, Batch    583, Loss  0.868803, Average Loss  0.871510, Time  0.172759
2021-09-10 21:23:02.266762 : Epoch  2, Batch    584, Loss  0.902146, Average Loss  0.871544, Time  0.173676
2021-09-10 21:23:03.850021 : Epoch  2, Batch    585, Loss  0.893121, Average Loss  0.871623, Time  0.169811
2021-09-10 21:23:05.473844 : Epoch  2, Batch    586, Loss  0.873456, Average Loss  0.871745, Time  0.174278
2021-09-10 21:23:07.073779 : Epoch  2, Batch    587, Loss  0.885194, Average Loss  0.871963, Time  0.173166
2021-09-10 21:23:08.648221 : Epoch  2, Batch    588, Loss  0.862169, Average Loss  0.871808, Time  0.169731
2021-09-10 21:23:10.238766 : Epoch  2, Batch    589, Loss  0.882259, Average Loss  0.872031, Time  0.169819
2021-09-10 21:27:52.038722 : CheckPoint: Validation Loss  0.00057296, Best Loss  0.00057296
2021-09-10 21:27:52.139615 : Best Model Updated
2021-09-10 21:27:54.878289 : Epoch  2, Batch    590, Loss  0.884953, Average Loss  0.872088, Time  0.180581
2021-09-10 21:27:56.473594 : Epoch  2, Batch    591, Loss  0.894103, Average Loss  0.872257, Time  0.178908
2021-09-10 21:27:58.060988 : Epoch  2, Batch    592, Loss  0.859883, Average Loss  0.872172, Time  0.170528
2021-09-10 21:27:59.661040 : Epoch  2, Batch    593, Loss  0.872067, Average Loss  0.872129, Time  0.173286
2021-09-10 21:28:01.259015 : Epoch  2, Batch    594, Loss  0.843143, Average Loss  0.871965, Time  0.173881
2021-09-10 21:28:02.859077 : Epoch  2, Batch    595, Loss  0.863178, Average Loss  0.871783, Time  0.179293
2021-09-10 21:28:04.447795 : Epoch  2, Batch    596, Loss  0.871270, Average Loss  0.871694, Time  0.170662
2021-09-10 21:28:06.034047 : Epoch  2, Batch    597, Loss  0.886173, Average Loss  0.871740, Time  0.173136
2021-09-10 21:28:07.611003 : Epoch  2, Batch    598, Loss  0.832304, Average Loss  0.871496, Time  0.169745
2021-09-10 21:28:09.213025 : Epoch  2, Batch    599, Loss  0.865671, Average Loss  0.871493, Time  0.176175
2021-09-10 21:28:10.803800 : Epoch  2, Batch    600, Loss  0.857175, Average Loss  0.871424, Time  0.172655
2021-09-10 21:28:12.443771 : Epoch  2, Batch    601, Loss  0.864305, Average Loss  0.871441, Time  0.171728
2021-09-10 21:28:14.044784 : Epoch  2, Batch    602, Loss  0.851877, Average Loss  0.871400, Time  0.177929
2021-09-10 21:28:15.640980 : Epoch  2, Batch    603, Loss  0.865359, Average Loss  0.871390, Time  0.170028
2021-09-10 21:28:17.264875 : Epoch  2, Batch    604, Loss  0.874177, Average Loss  0.871465, Time  0.173918
2021-09-10 21:28:18.875828 : Epoch  2, Batch    605, Loss  0.877677, Average Loss  0.871422, Time  0.184452
2021-09-10 21:28:20.471813 : Epoch  2, Batch    606, Loss  0.875251, Average Loss  0.871406, Time  0.171873
2021-09-10 21:28:22.058044 : Epoch  2, Batch    607, Loss  0.874600, Average Loss  0.871284, Time  0.170064
2021-09-10 21:28:23.643019 : Epoch  2, Batch    608, Loss  0.894716, Average Loss  0.871392, Time  0.173434
2021-09-10 21:28:25.229029 : Epoch  2, Batch    609, Loss  0.881264, Average Loss  0.871465, Time  0.177176
2021-09-10 21:28:26.821025 : Epoch  2, Batch    610, Loss  0.880702, Average Loss  0.871525, Time  0.170281
2021-09-10 21:28:28.403053 : Epoch  2, Batch    611, Loss  0.854220, Average Loss  0.871485, Time  0.171968
2021-09-10 21:28:29.975046 : Epoch  2, Batch    612, Loss  0.846639, Average Loss  0.871409, Time  0.173701
2021-09-10 21:28:31.554024 : Epoch  2, Batch    613, Loss  0.869621, Average Loss  0.871555, Time  0.172572
2021-09-10 21:28:33.136805 : Epoch  2, Batch    614, Loss  0.850464, Average Loss  0.871513, Time  0.170352
2021-09-10 21:28:34.717026 : Epoch  2, Batch    615, Loss  0.848550, Average Loss  0.871424, Time  0.173703
2021-09-10 21:28:36.297023 : Epoch  2, Batch    616, Loss  0.850488, Average Loss  0.871320, Time  0.169638
2021-09-10 21:28:37.877290 : Epoch  2, Batch    617, Loss  0.886381, Average Loss  0.871350, Time  0.171080
2021-09-10 21:28:39.449023 : Epoch  2, Batch    618, Loss  0.867642, Average Loss  0.871373, Time  0.172842
2021-09-10 21:28:41.031026 : Epoch  2, Batch    619, Loss  0.881317, Average Loss  0.871293, Time  0.174526
2021-09-10 21:28:42.633029 : Epoch  2, Batch    620, Loss  0.864401, Average Loss  0.871228, Time  0.173377
2021-09-10 21:28:44.222027 : Epoch  2, Batch    621, Loss  0.846599, Average Loss  0.871193, Time  0.172213
2021-09-10 21:28:45.823156 : Epoch  2, Batch    622, Loss  0.882262, Average Loss  0.871226, Time  0.173093
2021-09-10 21:28:47.398026 : Epoch  2, Batch    623, Loss  0.890498, Average Loss  0.871438, Time  0.169701
2021-09-10 21:28:48.995815 : Epoch  2, Batch    624, Loss  0.851902, Average Loss  0.871277, Time  0.173038
2021-09-10 21:28:50.598846 : Epoch  2, Batch    625, Loss  0.880471, Average Loss  0.871291, Time  0.172471
2021-09-10 21:28:52.188790 : Epoch  2, Batch    626, Loss  0.893170, Average Loss  0.871399, Time  0.173501
2021-09-10 21:28:53.769052 : Epoch  2, Batch    627, Loss  0.866661, Average Loss  0.871541, Time  0.176845
2021-09-10 21:28:55.351032 : Epoch  2, Batch    628, Loss  0.856274, Average Loss  0.871456, Time  0.175922
2021-09-10 21:28:56.933880 : Epoch  2, Batch    629, Loss  0.846331, Average Loss  0.871304, Time  0.173402
2021-09-10 21:28:58.518032 : Epoch  2, Batch    630, Loss  0.860822, Average Loss  0.871065, Time  0.169549
2021-09-10 21:29:00.106241 : Epoch  2, Batch    631, Loss  0.876867, Average Loss  0.871016, Time  0.172797
2021-09-10 21:29:01.724735 : Epoch  2, Batch    632, Loss  0.883491, Average Loss  0.871186, Time  0.173846
2021-09-10 21:29:03.305017 : Epoch  2, Batch    633, Loss  0.880329, Average Loss  0.871292, Time  0.169686
2021-09-10 21:29:04.894766 : Epoch  2, Batch    634, Loss  0.874208, Average Loss  0.871454, Time  0.177039
2021-09-10 21:29:06.466738 : Epoch  2, Batch    635, Loss  0.902837, Average Loss  0.871643, Time  0.174522
2021-09-10 21:29:08.030781 : Epoch  2, Batch    636, Loss  0.878274, Average Loss  0.871486, Time  0.172859
2021-09-10 21:29:09.617026 : Epoch  2, Batch    637, Loss  0.873249, Average Loss  0.871377, Time  0.173201
2021-09-10 21:29:11.202750 : Epoch  2, Batch    638, Loss  0.843145, Average Loss  0.871150, Time  0.173371
2021-09-10 21:29:12.688015 : Epoch  2, Batch    639, Loss  0.886790, Average Loss  0.871328, Time  0.163488
2021-09-10 21:29:14.281817 : Epoch  2, Batch    640, Loss  0.882623, Average Loss  0.871232, Time  0.169667
2021-09-10 21:29:15.883859 : Epoch  2, Batch    641, Loss  0.864884, Average Loss  0.871371, Time  0.175138
2021-09-10 21:29:17.474881 : Epoch  2, Batch    642, Loss  0.865467, Average Loss  0.871360, Time  0.174283
2021-09-10 21:29:19.066686 : Epoch  2, Batch    643, Loss  0.892728, Average Loss  0.871452, Time  0.170123
2021-09-10 21:29:20.652790 : Epoch  2, Batch    644, Loss  0.877656, Average Loss  0.871466, Time  0.177811
2021-09-10 21:29:22.224729 : Epoch  2, Batch    645, Loss  0.879587, Average Loss  0.871376, Time  0.169770
2021-09-10 21:29:23.809752 : Epoch  2, Batch    646, Loss  0.837885, Average Loss  0.871326, Time  0.172866
2021-09-10 21:29:25.395027 : Epoch  2, Batch    647, Loss  0.881493, Average Loss  0.871557, Time  0.169564
2021-09-10 21:29:26.969021 : Epoch  2, Batch    648, Loss  0.894202, Average Loss  0.871511, Time  0.172699
2021-09-10 21:29:28.545677 : Epoch  2, Batch    649, Loss  0.866063, Average Loss  0.871496, Time  0.172885
2021-09-10 21:29:30.119731 : Epoch  2, Batch    650, Loss  0.894844, Average Loss  0.871628, Time  0.170249
2021-09-10 21:29:31.714964 : Epoch  2, Batch    651, Loss  0.851142, Average Loss  0.871579, Time  0.173728
2021-09-10 21:29:33.294020 : Epoch  2, Batch    652, Loss  0.868425, Average Loss  0.871490, Time  0.169748
2021-09-10 21:29:34.900026 : Epoch  2, Batch    653, Loss  0.896551, Average Loss  0.871799, Time  0.173465
2021-09-10 21:29:36.489896 : Epoch  2, Batch    654, Loss  0.872537, Average Loss  0.871678, Time  0.173229
2021-09-10 21:29:38.082091 : Epoch  2, Batch    655, Loss  0.878236, Average Loss  0.871735, Time  0.175175
2021-09-10 21:29:39.683807 : Epoch  2, Batch    656, Loss  0.852572, Average Loss  0.871828, Time  0.170563
2021-09-10 21:29:41.273054 : Epoch  2, Batch    657, Loss  0.891907, Average Loss  0.871978, Time  0.169807
2021-09-10 21:29:42.869022 : Epoch  2, Batch    658, Loss  0.877268, Average Loss  0.871822, Time  0.169488
2021-09-10 21:29:44.464753 : Epoch  2, Batch    659, Loss  0.866149, Average Loss  0.871691, Time  0.172868
2021-09-10 21:29:46.077757 : Epoch  2, Batch    660, Loss  0.869749, Average Loss  0.871570, Time  0.169951
2021-09-10 21:29:47.668856 : Epoch  2, Batch    661, Loss  0.871320, Average Loss  0.871646, Time  0.184527
2021-09-10 21:29:49.240064 : Epoch  2, Batch    662, Loss  0.862621, Average Loss  0.871713, Time  0.169672
2021-09-10 21:29:50.821295 : Epoch  2, Batch    663, Loss  0.873861, Average Loss  0.871804, Time  0.169880
2021-09-10 21:29:52.412768 : Epoch  2, Batch    664, Loss  0.866836, Average Loss  0.871667, Time  0.175985
2021-09-10 21:29:53.996077 : Epoch  2, Batch    665, Loss  0.875492, Average Loss  0.871662, Time  0.173720
2021-09-10 21:29:55.588033 : Epoch  2, Batch    666, Loss  0.882600, Average Loss  0.871683, Time  0.172236
2021-09-10 21:29:57.195039 : Epoch  2, Batch    667, Loss  0.863177, Average Loss  0.871799, Time  0.169696
2021-09-10 21:29:58.795803 : Epoch  2, Batch    668, Loss  0.863163, Average Loss  0.871730, Time  0.171075
2021-09-10 21:30:00.397030 : Epoch  2, Batch    669, Loss  0.879284, Average Loss  0.871786, Time  0.172221
2021-09-10 21:30:02.009785 : Epoch  2, Batch    670, Loss  0.852081, Average Loss  0.871896, Time  0.175547
2021-09-10 21:30:03.603809 : Epoch  2, Batch    671, Loss  0.896922, Average Loss  0.871891, Time  0.171777
2021-09-10 21:30:05.196933 : Epoch  2, Batch    672, Loss  0.859946, Average Loss  0.871680, Time  0.171817
2021-09-10 21:30:06.775937 : Epoch  2, Batch    673, Loss  0.905096, Average Loss  0.871673, Time  0.170552
2021-09-10 21:30:08.349324 : Epoch  2, Batch    674, Loss  0.869653, Average Loss  0.871512, Time  0.173762
2021-09-10 21:30:09.931759 : Epoch  2, Batch    675, Loss  0.865818, Average Loss  0.871523, Time  0.173127
2021-09-10 21:30:11.513570 : Epoch  2, Batch    676, Loss  0.877413, Average Loss  0.871604, Time  0.170561
2021-09-10 21:30:13.086948 : Epoch  2, Batch    677, Loss  0.884062, Average Loss  0.871720, Time  0.171921
2021-09-10 21:30:14.682797 : Epoch  2, Batch    678, Loss  0.874695, Average Loss  0.871756, Time  0.173606
2021-09-10 21:30:16.273843 : Epoch  2, Batch    679, Loss  0.833123, Average Loss  0.871408, Time  0.175214
2021-09-10 21:30:17.865735 : Epoch  2, Batch    680, Loss  0.863207, Average Loss  0.871285, Time  0.169725
2021-09-10 21:30:19.477082 : Epoch  2, Batch    681, Loss  0.930915, Average Loss  0.871631, Time  0.170844
2021-09-10 21:30:21.025893 : Epoch  2, Batch    682, Loss  0.897094, Average Loss  0.871884, Time  0.170253
2021-09-10 21:30:22.596025 : Epoch  2, Batch    683, Loss  0.861082, Average Loss  0.871657, Time  0.170711
2021-09-10 21:30:24.171825 : Epoch  2, Batch    684, Loss  0.874635, Average Loss  0.871687, Time  0.175382
2021-09-10 21:30:25.760731 : Epoch  2, Batch    685, Loss  0.853619, Average Loss  0.871770, Time  0.173830
2021-09-10 21:30:27.321049 : Epoch  2, Batch    686, Loss  0.911822, Average Loss  0.871879, Time  0.175516
2021-09-10 21:30:28.882016 : Epoch  2, Batch    687, Loss  0.867351, Average Loss  0.871751, Time  0.170093
2021-09-10 21:30:30.455479 : Epoch  2, Batch    688, Loss  0.857377, Average Loss  0.871649, Time  0.171724
2021-09-10 21:30:32.048814 : Epoch  2, Batch    689, Loss  0.870266, Average Loss  0.871749, Time  0.175014
2021-09-10 21:35:12.825713 : CheckPoint: Validation Loss  0.00060215, Best Loss  0.00057296
2021-09-10 21:35:14.431945 : Epoch  2, Batch    690, Loss  0.859312, Average Loss  0.871688, Time  0.176725
2021-09-10 21:35:16.039832 : Epoch  2, Batch    691, Loss  0.854274, Average Loss  0.871697, Time  0.173428
2021-09-10 21:35:17.646766 : Epoch  2, Batch    692, Loss  0.877706, Average Loss  0.871802, Time  0.172929
2021-09-10 21:35:19.223014 : Epoch  2, Batch    693, Loss  0.861035, Average Loss  0.871753, Time  0.171209
2021-09-10 21:35:20.810020 : Epoch  2, Batch    694, Loss  0.847120, Average Loss  0.871678, Time  0.171237
2021-09-10 21:35:22.411022 : Epoch  2, Batch    695, Loss  0.868354, Average Loss  0.871553, Time  0.173694
2021-09-10 21:35:24.001013 : Epoch  2, Batch    696, Loss  0.900927, Average Loss  0.871709, Time  0.172882
2021-09-10 21:35:25.603036 : Epoch  2, Batch    697, Loss  0.868997, Average Loss  0.871745, Time  0.175862
2021-09-10 21:35:27.185779 : Epoch  2, Batch    698, Loss  0.876271, Average Loss  0.871695, Time  0.172839
2021-09-10 21:35:28.753014 : Epoch  2, Batch    699, Loss  0.901141, Average Loss  0.871885, Time  0.172032
2021-09-10 21:35:30.321007 : Epoch  2, Batch    700, Loss  0.873287, Average Loss  0.871964, Time  0.171014
2021-09-10 21:35:31.883809 : Epoch  2, Batch    701, Loss  0.864513, Average Loss  0.871777, Time  0.172796
2021-09-10 21:35:33.480328 : Epoch  2, Batch    702, Loss  0.879221, Average Loss  0.871774, Time  0.170043
2021-09-10 21:35:35.040754 : Epoch  2, Batch    703, Loss  0.881888, Average Loss  0.871828, Time  0.169936
2021-09-10 21:35:36.611074 : Epoch  2, Batch    704, Loss  0.843077, Average Loss  0.871688, Time  0.171029
2021-09-10 21:35:38.226013 : Epoch  2, Batch    705, Loss  0.825003, Average Loss  0.871567, Time  0.182676
2021-09-10 21:35:39.835068 : Epoch  2, Batch    706, Loss  0.856130, Average Loss  0.871679, Time  0.171301
2021-09-10 21:35:41.423729 : Epoch  2, Batch    707, Loss  0.876007, Average Loss  0.871663, Time  0.174935
2021-09-10 21:35:43.007024 : Epoch  2, Batch    708, Loss  0.845890, Average Loss  0.871467, Time  0.173789
2021-09-10 21:35:44.592024 : Epoch  2, Batch    709, Loss  0.855154, Average Loss  0.871393, Time  0.170012
2021-09-10 21:35:46.178871 : Epoch  2, Batch    710, Loss  0.846990, Average Loss  0.871295, Time  0.169962
2021-09-10 21:35:47.760070 : Epoch  2, Batch    711, Loss  0.852103, Average Loss  0.871148, Time  0.176512
2021-09-10 21:35:49.321635 : Epoch  2, Batch    712, Loss  0.850974, Average Loss  0.870995, Time  0.170326
2021-09-10 21:35:50.919041 : Epoch  2, Batch    713, Loss  0.863992, Average Loss  0.871022, Time  0.172743
2021-09-10 21:35:52.482432 : Epoch  2, Batch    714, Loss  0.883132, Average Loss  0.870972, Time  0.171636
2021-09-10 21:35:54.055920 : Epoch  2, Batch    715, Loss  0.884472, Average Loss  0.871064, Time  0.173483
2021-09-10 21:35:55.624744 : Epoch  2, Batch    716, Loss  0.875795, Average Loss  0.871083, Time  0.171588
2021-09-10 21:35:57.207027 : Epoch  2, Batch    717, Loss  0.905702, Average Loss  0.871291, Time  0.175949
2021-09-10 21:35:58.775830 : Epoch  2, Batch    718, Loss  0.855406, Average Loss  0.871313, Time  0.169885
2021-09-10 21:36:00.355027 : Epoch  2, Batch    719, Loss  0.866858, Average Loss  0.871158, Time  0.177519
2021-09-10 21:36:01.942736 : Epoch  2, Batch    720, Loss  0.875609, Average Loss  0.871233, Time  0.178817
2021-09-10 21:36:03.524025 : Epoch  2, Batch    721, Loss  0.889710, Average Loss  0.871225, Time  0.173856
2021-09-10 21:36:05.108033 : Epoch  2, Batch    722, Loss  0.898687, Average Loss  0.871506, Time  0.182021
2021-09-10 21:36:06.704246 : Epoch  2, Batch    723, Loss  0.885655, Average Loss  0.871671, Time  0.170205
2021-09-10 21:36:08.300038 : Epoch  2, Batch    724, Loss  0.875678, Average Loss  0.871575, Time  0.177756
2021-09-10 21:36:09.897080 : Epoch  2, Batch    725, Loss  0.842779, Average Loss  0.871516, Time  0.173612
2021-09-10 21:36:11.496850 : Epoch  2, Batch    726, Loss  0.853479, Average Loss  0.871538, Time  0.173761
2021-09-10 21:36:13.077318 : Epoch  2, Batch    727, Loss  0.867894, Average Loss  0.871683, Time  0.170166
2021-09-10 21:36:14.656835 : Epoch  2, Batch    728, Loss  0.855301, Average Loss  0.871575, Time  0.170300
2021-09-10 21:36:16.253066 : Epoch  2, Batch    729, Loss  0.920090, Average Loss  0.871700, Time  0.170293
2021-09-10 21:36:17.845027 : Epoch  2, Batch    730, Loss  0.880771, Average Loss  0.871744, Time  0.170231
2021-09-10 21:36:19.447039 : Epoch  2, Batch    731, Loss  0.860961, Average Loss  0.871601, Time  0.178218
2021-09-10 21:36:21.040038 : Epoch  2, Batch    732, Loss  0.880286, Average Loss  0.871795, Time  0.170394
2021-09-10 21:36:22.648738 : Epoch  2, Batch    733, Loss  0.868033, Average Loss  0.871920, Time  0.172306
2021-09-10 21:36:24.249034 : Epoch  2, Batch    734, Loss  0.864781, Average Loss  0.871973, Time  0.170634
2021-09-10 21:36:25.837794 : Epoch  2, Batch    735, Loss  0.880044, Average Loss  0.871972, Time  0.169816
2021-09-10 21:36:27.421850 : Epoch  2, Batch    736, Loss  0.856617, Average Loss  0.871835, Time  0.173439
2021-09-10 21:36:29.003824 : Epoch  2, Batch    737, Loss  0.906722, Average Loss  0.871971, Time  0.169856
2021-09-10 21:36:30.591832 : Epoch  2, Batch    738, Loss  0.887575, Average Loss  0.872195, Time  0.169955
2021-09-10 21:36:32.189058 : Epoch  2, Batch    739, Loss  0.878426, Average Loss  0.872269, Time  0.172331
2021-09-10 21:36:33.761020 : Epoch  2, Batch    740, Loss  0.900343, Average Loss  0.872417, Time  0.170818
2021-09-10 21:36:35.347789 : Epoch  2, Batch    741, Loss  0.885866, Average Loss  0.872565, Time  0.175987
2021-09-10 21:36:36.927733 : Epoch  2, Batch    742, Loss  0.895156, Average Loss  0.872593, Time  0.169886
2021-09-10 21:36:38.530926 : Epoch  2, Batch    743, Loss  0.858465, Average Loss  0.872563, Time  0.179561
2021-09-10 21:36:40.116023 : Epoch  2, Batch    744, Loss  0.887374, Average Loss  0.872654, Time  0.172677
2021-09-10 21:36:41.681547 : Epoch  2, Batch    745, Loss  0.872258, Average Loss  0.872571, Time  0.175873
2021-09-10 21:36:43.250025 : Epoch  2, Batch    746, Loss  0.875803, Average Loss  0.872717, Time  0.174359
2021-09-10 21:36:44.834857 : Epoch  2, Batch    747, Loss  0.865521, Average Loss  0.872708, Time  0.172365
2021-09-10 21:36:46.423026 : Epoch  2, Batch    748, Loss  0.872748, Average Loss  0.872746, Time  0.181241
2021-09-10 21:36:48.032843 : Epoch  2, Batch    749, Loss  0.885543, Average Loss  0.872745, Time  0.174920
2021-09-10 21:36:49.612023 : Epoch  2, Batch    750, Loss  0.844452, Average Loss  0.872630, Time  0.173846
2021-09-10 21:36:51.229738 : Epoch  2, Batch    751, Loss  0.874541, Average Loss  0.872659, Time  0.171913
2021-09-10 21:36:52.843021 : Epoch  2, Batch    752, Loss  0.853489, Average Loss  0.872580, Time  0.173461
2021-09-10 21:36:54.443893 : Epoch  2, Batch    753, Loss  0.843902, Average Loss  0.872389, Time  0.182696
2021-09-10 21:36:56.035035 : Epoch  2, Batch    754, Loss  0.840678, Average Loss  0.872295, Time  0.169672
2021-09-10 21:36:57.626039 : Epoch  2, Batch    755, Loss  0.880632, Average Loss  0.872366, Time  0.172364
2021-09-10 21:36:59.249819 : Epoch  2, Batch    756, Loss  0.882815, Average Loss  0.872371, Time  0.172214
2021-09-10 21:37:00.848740 : Epoch  2, Batch    757, Loss  0.857726, Average Loss  0.872189, Time  0.172923
2021-09-10 21:37:02.450024 : Epoch  2, Batch    758, Loss  0.882693, Average Loss  0.872245, Time  0.181870
2021-09-10 21:37:04.051805 : Epoch  2, Batch    759, Loss  0.868818, Average Loss  0.872199, Time  0.171183
2021-09-10 21:37:05.657833 : Epoch  2, Batch    760, Loss  0.897850, Average Loss  0.872328, Time  0.169915
2021-09-10 21:37:07.238032 : Epoch  2, Batch    761, Loss  0.891213, Average Loss  0.872485, Time  0.170306
2021-09-10 21:37:08.832808 : Epoch  2, Batch    762, Loss  0.884481, Average Loss  0.872351, Time  0.173389
2021-09-10 21:37:10.429744 : Epoch  2, Batch    763, Loss  0.866025, Average Loss  0.872407, Time  0.176167
2021-09-10 21:37:12.017442 : Epoch  2, Batch    764, Loss  0.860319, Average Loss  0.872355, Time  0.169761
2021-09-10 21:37:13.649757 : Epoch  2, Batch    765, Loss  0.845052, Average Loss  0.871928, Time  0.175449
2021-09-10 21:37:15.267833 : Epoch  2, Batch    766, Loss  0.893615, Average Loss  0.872110, Time  0.177359
2021-09-10 21:37:16.880850 : Epoch  2, Batch    767, Loss  0.863861, Average Loss  0.872026, Time  0.176022
2021-09-10 21:37:18.537820 : Epoch  2, Batch    768, Loss  0.845833, Average Loss  0.871879, Time  0.183501
2021-09-10 21:37:20.137759 : Epoch  2, Batch    769, Loss  0.880732, Average Loss  0.871804, Time  0.170601
2021-09-10 21:37:21.713890 : Epoch  2, Batch    770, Loss  0.856807, Average Loss  0.871537, Time  0.177381
2021-09-10 21:37:23.311031 : Epoch  2, Batch    771, Loss  0.876376, Average Loss  0.871585, Time  0.170377
2021-09-10 21:37:24.900749 : Epoch  2, Batch    772, Loss  0.882020, Average Loss  0.871694, Time  0.170654
2021-09-10 21:37:26.476809 : Epoch  2, Batch    773, Loss  0.845870, Average Loss  0.871653, Time  0.173620
2021-09-10 21:37:28.060023 : Epoch  2, Batch    774, Loss  0.849014, Average Loss  0.871354, Time  0.169815
2021-09-10 21:37:29.638954 : Epoch  2, Batch    775, Loss  0.829885, Average Loss  0.871175, Time  0.170043
2021-09-10 21:37:31.219024 : Epoch  2, Batch    776, Loss  0.874431, Average Loss  0.871231, Time  0.174897
2021-09-10 21:37:32.814782 : Epoch  2, Batch    777, Loss  0.886774, Average Loss  0.871181, Time  0.170942
2021-09-10 21:37:34.404937 : Epoch  2, Batch    778, Loss  0.863636, Average Loss  0.871191, Time  0.173378
2021-09-10 21:37:35.994025 : Epoch  2, Batch    779, Loss  0.878377, Average Loss  0.871193, Time  0.172545
2021-09-10 21:37:37.578642 : Epoch  2, Batch    780, Loss  0.870932, Average Loss  0.871483, Time  0.172463
2021-09-10 21:37:39.174020 : Epoch  2, Batch    781, Loss  0.857964, Average Loss  0.871439, Time  0.169550
2021-09-10 21:37:40.786022 : Epoch  2, Batch    782, Loss  0.884539, Average Loss  0.871408, Time  0.169807
2021-09-10 21:37:42.378023 : Epoch  2, Batch    783, Loss  0.869906, Average Loss  0.871414, Time  0.169865
2021-09-10 21:37:43.978821 : Epoch  2, Batch    784, Loss  0.852021, Average Loss  0.871163, Time  0.171762
2021-09-10 21:37:45.603041 : Epoch  2, Batch    785, Loss  0.918137, Average Loss  0.871288, Time  0.173659
2021-09-10 21:37:47.192754 : Epoch  2, Batch    786, Loss  0.875580, Average Loss  0.871299, Time  0.174711
2021-09-10 21:37:48.787025 : Epoch  2, Batch    787, Loss  0.853880, Average Loss  0.871142, Time  0.169698
2021-09-10 21:37:50.380777 : Epoch  2, Batch    788, Loss  0.903430, Average Loss  0.871349, Time  0.172946
2021-09-10 21:37:51.968990 : Epoch  2, Batch    789, Loss  0.867361, Average Loss  0.871274, Time  0.170747
2021-09-10 21:42:32.284728 : CheckPoint: Validation Loss  0.00058125, Best Loss  0.00057296
2021-09-10 21:42:33.894389 : Epoch  2, Batch    790, Loss  0.875212, Average Loss  0.871225, Time  0.181235
2021-09-10 21:42:35.497744 : Epoch  2, Batch    791, Loss  0.884319, Average Loss  0.871176, Time  0.170500
2021-09-10 21:42:37.097828 : Epoch  2, Batch    792, Loss  0.878835, Average Loss  0.871271, Time  0.175096
2021-09-10 21:42:38.681017 : Epoch  2, Batch    793, Loss  0.892700, Average Loss  0.871374, Time  0.169950
2021-09-10 21:42:40.254001 : Epoch  2, Batch    794, Loss  0.856204, Average Loss  0.871440, Time  0.175518
2021-09-10 21:42:41.836013 : Epoch  2, Batch    795, Loss  0.880876, Average Loss  0.871528, Time  0.170626
2021-09-10 21:42:43.416745 : Epoch  2, Batch    796, Loss  0.840529, Average Loss  0.871374, Time  0.171756
2021-09-10 21:42:45.002024 : Epoch  2, Batch    797, Loss  0.867112, Average Loss  0.871279, Time  0.170661
2021-09-10 21:42:46.603801 : Epoch  2, Batch    798, Loss  0.892380, Average Loss  0.871580, Time  0.174149
2021-09-10 21:42:48.199021 : Epoch  2, Batch    799, Loss  0.916571, Average Loss  0.871834, Time  0.169904
2021-09-10 21:42:49.797925 : Epoch  2, Batch    800, Loss  0.906126, Average Loss  0.872079, Time  0.170260
2021-09-10 21:42:51.408791 : Epoch  2, Batch    801, Loss  0.838736, Average Loss  0.871951, Time  0.170218
2021-09-10 21:42:53.010078 : Epoch  2, Batch    802, Loss  0.855548, Average Loss  0.871969, Time  0.170270
2021-09-10 21:42:54.596029 : Epoch  2, Batch    803, Loss  0.858788, Average Loss  0.871936, Time  0.177707
2021-09-10 21:42:56.198616 : Epoch  2, Batch    804, Loss  0.891190, Average Loss  0.872022, Time  0.169863
2021-09-10 21:42:57.785031 : Epoch  2, Batch    805, Loss  0.862902, Average Loss  0.871948, Time  0.170219
2021-09-10 21:42:59.399027 : Epoch  2, Batch    806, Loss  0.876505, Average Loss  0.871954, Time  0.169816
2021-09-10 21:43:01.012028 : Epoch  2, Batch    807, Loss  0.869823, Average Loss  0.871930, Time  0.169673
2021-09-10 21:43:02.611016 : Epoch  2, Batch    808, Loss  0.883617, Average Loss  0.871875, Time  0.174293
2021-09-10 21:43:04.168029 : Epoch  2, Batch    809, Loss  0.905204, Average Loss  0.871994, Time  0.169617
2021-09-10 21:43:05.744022 : Epoch  2, Batch    810, Loss  0.837229, Average Loss  0.871777, Time  0.174510
2021-09-10 21:43:07.334869 : Epoch  2, Batch    811, Loss  0.848777, Average Loss  0.871750, Time  0.170779
2021-09-10 21:43:08.924034 : Epoch  2, Batch    812, Loss  0.846303, Average Loss  0.871748, Time  0.174978
2021-09-10 21:43:10.530027 : Epoch  2, Batch    813, Loss  0.869271, Average Loss  0.871746, Time  0.183598
2021-09-10 21:43:12.127825 : Epoch  2, Batch    814, Loss  0.891525, Average Loss  0.871952, Time  0.179145
2021-09-10 21:43:13.743877 : Epoch  2, Batch    815, Loss  0.844814, Average Loss  0.871933, Time  0.170816
2021-09-10 21:43:15.322027 : Epoch  2, Batch    816, Loss  0.894083, Average Loss  0.872151, Time  0.170190
2021-09-10 21:43:16.901750 : Epoch  2, Batch    817, Loss  0.871963, Average Loss  0.872079, Time  0.173165
2021-09-10 21:43:18.505942 : Epoch  2, Batch    818, Loss  0.855497, Average Loss  0.872018, Time  0.171620
2021-09-10 21:43:20.111039 : Epoch  2, Batch    819, Loss  0.887092, Average Loss  0.872047, Time  0.177072
2021-09-10 21:43:21.713766 : Epoch  2, Batch    820, Loss  0.843111, Average Loss  0.871940, Time  0.174614
2021-09-10 21:43:23.310781 : Epoch  2, Batch    821, Loss  0.852328, Average Loss  0.871969, Time  0.173468
2021-09-10 21:43:24.885014 : Epoch  2, Batch    822, Loss  0.864111, Average Loss  0.871878, Time  0.171263
2021-09-10 21:43:26.459025 : Epoch  2, Batch    823, Loss  0.842934, Average Loss  0.871641, Time  0.177498
2021-09-10 21:43:28.026842 : Epoch  2, Batch    824, Loss  0.864975, Average Loss  0.871706, Time  0.170496
2021-09-10 21:43:29.614740 : Epoch  2, Batch    825, Loss  0.868972, Average Loss  0.871648, Time  0.169871
2021-09-10 21:43:31.207054 : Epoch  2, Batch    826, Loss  0.862368, Average Loss  0.871494, Time  0.173808
2021-09-10 21:43:32.807785 : Epoch  2, Batch    827, Loss  0.851319, Average Loss  0.871418, Time  0.171835
2021-09-10 21:43:34.381763 : Epoch  2, Batch    828, Loss  0.870920, Average Loss  0.871491, Time  0.176975
2021-09-10 21:43:35.968181 : Epoch  2, Batch    829, Loss  0.875808, Average Loss  0.871638, Time  0.171737
2021-09-10 21:43:37.534598 : Epoch  2, Batch    830, Loss  0.869948, Average Loss  0.871684, Time  0.170146
2021-09-10 21:43:39.134029 : Epoch  2, Batch    831, Loss  0.867153, Average Loss  0.871635, Time  0.176047
2021-09-10 21:43:40.734795 : Epoch  2, Batch    832, Loss  0.868793, Average Loss  0.871562, Time  0.172707
2021-09-10 21:43:42.331027 : Epoch  2, Batch    833, Loss  0.839928, Average Loss  0.871360, Time  0.174524
2021-09-10 21:43:43.938026 : Epoch  2, Batch    834, Loss  0.891529, Average Loss  0.871446, Time  0.182801
2021-09-10 21:43:45.529027 : Epoch  2, Batch    835, Loss  0.889770, Average Loss  0.871381, Time  0.174797
2021-09-10 21:43:47.101075 : Epoch  2, Batch    836, Loss  0.862051, Average Loss  0.871300, Time  0.173057
2021-09-10 21:43:48.705927 : Epoch  2, Batch    837, Loss  0.863768, Average Loss  0.871253, Time  0.176383
2021-09-10 21:43:50.267015 : Epoch  2, Batch    838, Loss  0.850782, Average Loss  0.871291, Time  0.169624
2021-09-10 21:43:51.856873 : Epoch  2, Batch    839, Loss  0.840993, Average Loss  0.871062, Time  0.170561
2021-09-10 21:43:53.457025 : Epoch  2, Batch    840, Loss  0.909486, Average Loss  0.871196, Time  0.170686
2021-09-10 21:43:55.069793 : Epoch  2, Batch    841, Loss  0.864524, Average Loss  0.871194, Time  0.179834
2021-09-10 21:43:56.663733 : Epoch  2, Batch    842, Loss  0.868929, Average Loss  0.871212, Time  0.180007
2021-09-10 21:43:58.256025 : Epoch  2, Batch    843, Loss  0.852164, Average Loss  0.871009, Time  0.169624
2021-09-10 21:43:59.887034 : Epoch  2, Batch    844, Loss  0.860294, Average Loss  0.870922, Time  0.177954
2021-09-10 21:44:01.450837 : Epoch  2, Batch    845, Loss  0.871122, Average Loss  0.870880, Time  0.169626
2021-09-10 21:44:03.026085 : Epoch  2, Batch    846, Loss  0.882183, Average Loss  0.871101, Time  0.173092
2021-09-10 21:44:04.625011 : Epoch  2, Batch    847, Loss  0.876699, Average Loss  0.871077, Time  0.169346
2021-09-10 21:44:06.208548 : Epoch  2, Batch    848, Loss  0.877168, Average Loss  0.870992, Time  0.174338
2021-09-10 21:44:07.797744 : Epoch  2, Batch    849, Loss  0.872715, Average Loss  0.871025, Time  0.181280
2021-09-10 21:44:09.384025 : Epoch  2, Batch    850, Loss  0.846533, Average Loss  0.870784, Time  0.170343
2021-09-10 21:44:10.990787 : Epoch  2, Batch    851, Loss  0.863150, Average Loss  0.870844, Time  0.170001
2021-09-10 21:44:12.578017 : Epoch  2, Batch    852, Loss  0.868368, Average Loss  0.870843, Time  0.170129
2021-09-10 21:44:14.161024 : Epoch  2, Batch    853, Loss  0.853596, Average Loss  0.870629, Time  0.169444
2021-09-10 21:44:15.734824 : Epoch  2, Batch    854, Loss  0.862490, Average Loss  0.870578, Time  0.170351
2021-09-10 21:44:17.311028 : Epoch  2, Batch    855, Loss  0.888842, Average Loss  0.870632, Time  0.175486
2021-09-10 21:44:18.895847 : Epoch  2, Batch    856, Loss  0.840529, Average Loss  0.870571, Time  0.171797
2021-09-10 21:44:20.494030 : Epoch  2, Batch    857, Loss  0.895242, Average Loss  0.870588, Time  0.170154
2021-09-10 21:44:22.088022 : Epoch  2, Batch    858, Loss  0.836624, Average Loss  0.870385, Time  0.188440
2021-09-10 21:44:23.670026 : Epoch  2, Batch    859, Loss  0.889920, Average Loss  0.870504, Time  0.171999
2021-09-10 21:44:25.248829 : Epoch  2, Batch    860, Loss  0.897175, Average Loss  0.870641, Time  0.169885
2021-09-10 21:44:26.842023 : Epoch  2, Batch    861, Loss  0.887030, Average Loss  0.870719, Time  0.170555
2021-09-10 21:44:28.432032 : Epoch  2, Batch    862, Loss  0.884566, Average Loss  0.870829, Time  0.169833
2021-09-10 21:44:30.038021 : Epoch  2, Batch    863, Loss  0.868191, Average Loss  0.870801, Time  0.176393
2021-09-10 21:44:31.628850 : Epoch  2, Batch    864, Loss  0.906411, Average Loss  0.870999, Time  0.171038
2021-09-10 21:44:33.221770 : Epoch  2, Batch    865, Loss  0.883568, Average Loss  0.871039, Time  0.170372
2021-09-10 21:44:34.801806 : Epoch  2, Batch    866, Loss  0.839360, Average Loss  0.870823, Time  0.169885
2021-09-10 21:44:36.405803 : Epoch  2, Batch    867, Loss  0.871828, Average Loss  0.870866, Time  0.173983
2021-09-10 21:44:38.001913 : Epoch  2, Batch    868, Loss  0.888929, Average Loss  0.870995, Time  0.172170
2021-09-10 21:44:39.584804 : Epoch  2, Batch    869, Loss  0.868634, Average Loss  0.870942, Time  0.170815
2021-09-10 21:44:41.182021 : Epoch  2, Batch    870, Loss  0.894724, Average Loss  0.871155, Time  0.182675
2021-09-10 21:44:42.783798 : Epoch  2, Batch    871, Loss  0.857688, Average Loss  0.870959, Time  0.176554
2021-09-10 21:44:44.382029 : Epoch  2, Batch    872, Loss  0.872298, Average Loss  0.871020, Time  0.177940
2021-09-10 21:44:45.976853 : Epoch  2, Batch    873, Loss  0.888535, Average Loss  0.870938, Time  0.170008
2021-09-10 21:44:47.542029 : Epoch  2, Batch    874, Loss  0.860778, Average Loss  0.870893, Time  0.170842
2021-09-10 21:44:49.128470 : Epoch  2, Batch    875, Loss  0.873914, Average Loss  0.870934, Time  0.175247
2021-09-10 21:44:50.713024 : Epoch  2, Batch    876, Loss  0.876047, Average Loss  0.870927, Time  0.181769
2021-09-10 21:44:52.331740 : Epoch  2, Batch    877, Loss  0.891778, Average Loss  0.870965, Time  0.173931
2021-09-10 21:44:53.946031 : Epoch  2, Batch    878, Loss  0.856107, Average Loss  0.870872, Time  0.170130
2021-09-10 21:44:55.546039 : Epoch  2, Batch    879, Loss  0.866091, Average Loss  0.871037, Time  0.170837
2021-09-10 21:44:57.113982 : Epoch  2, Batch    880, Loss  0.854829, Average Loss  0.870995, Time  0.172035
2021-09-10 21:44:58.704025 : Epoch  2, Batch    881, Loss  0.867682, Average Loss  0.870679, Time  0.175684
2021-09-10 21:45:00.287029 : Epoch  2, Batch    882, Loss  0.870739, Average Loss  0.870548, Time  0.174025
2021-09-10 21:45:01.866780 : Epoch  2, Batch    883, Loss  0.892033, Average Loss  0.870702, Time  0.170064
2021-09-10 21:45:03.443774 : Epoch  2, Batch    884, Loss  0.860207, Average Loss  0.870630, Time  0.169961
2021-09-10 21:45:05.050729 : Epoch  2, Batch    885, Loss  0.889075, Average Loss  0.870807, Time  0.180725
2021-09-10 21:45:06.644023 : Epoch  2, Batch    886, Loss  0.872830, Average Loss  0.870612, Time  0.172992
2021-09-10 21:45:08.225778 : Epoch  2, Batch    887, Loss  0.882624, Average Loss  0.870689, Time  0.172054
2021-09-10 21:45:09.815867 : Epoch  2, Batch    888, Loss  0.864716, Average Loss  0.870725, Time  0.170085
2021-09-10 21:45:11.423792 : Epoch  2, Batch    889, Loss  0.863023, Average Loss  0.870689, Time  0.169941
2021-09-10 21:49:52.177736 : CheckPoint: Validation Loss  0.00063034, Best Loss  0.00057296
2021-09-10 21:49:53.818939 : Epoch  2, Batch    890, Loss  0.846180, Average Loss  0.870624, Time  0.178517
2021-09-10 21:49:55.433006 : Epoch  2, Batch    891, Loss  0.838485, Average Loss  0.870545, Time  0.181051
2021-09-10 21:49:57.001995 : Epoch  2, Batch    892, Loss  0.873547, Average Loss  0.870524, Time  0.170457
2021-09-10 21:49:58.613832 : Epoch  2, Batch    893, Loss  0.858718, Average Loss  0.870512, Time  0.181393
2021-09-10 21:50:00.180757 : Epoch  2, Batch    894, Loss  0.867183, Average Loss  0.870613, Time  0.170508
2021-09-10 21:50:01.785026 : Epoch  2, Batch    895, Loss  0.867907, Average Loss  0.870610, Time  0.173092
2021-09-10 21:50:03.373790 : Epoch  2, Batch    896, Loss  0.877750, Average Loss  0.870494, Time  0.170527
2021-09-10 21:50:04.959728 : Epoch  2, Batch    897, Loss  0.855699, Average Loss  0.870428, Time  0.177470
2021-09-10 21:50:06.532967 : Epoch  2, Batch    898, Loss  0.855361, Average Loss  0.870323, Time  0.171390
2021-09-10 21:50:08.134037 : Epoch  2, Batch    899, Loss  0.856912, Average Loss  0.870102, Time  0.170163
2021-09-10 21:50:09.718759 : Epoch  2, Batch    900, Loss  0.867871, Average Loss  0.870075, Time  0.175994
2021-09-10 21:50:11.321760 : Epoch  2, Batch    901, Loss  0.818964, Average Loss  0.869847, Time  0.178747
2021-09-10 21:50:12.901039 : Epoch  2, Batch    902, Loss  0.832490, Average Loss  0.869614, Time  0.172156
2021-09-10 21:50:14.482371 : Epoch  2, Batch    903, Loss  0.873806, Average Loss  0.869573, Time  0.175868
2021-09-10 21:50:16.084865 : Epoch  2, Batch    904, Loss  0.900518, Average Loss  0.869861, Time  0.175736
2021-09-10 21:50:17.674060 : Epoch  2, Batch    905, Loss  0.878060, Average Loss  0.870126, Time  0.170353
2021-09-10 21:50:19.281066 : Epoch  2, Batch    906, Loss  0.849081, Average Loss  0.870091, Time  0.180362
2021-09-10 21:50:20.852831 : Epoch  2, Batch    907, Loss  0.868942, Average Loss  0.870055, Time  0.170278
2021-09-10 21:50:22.433785 : Epoch  2, Batch    908, Loss  0.859119, Average Loss  0.870121, Time  0.173911
2021-09-10 21:50:24.033117 : Epoch  2, Batch    909, Loss  0.846085, Average Loss  0.870076, Time  0.173714
2021-09-10 21:50:25.607078 : Epoch  2, Batch    910, Loss  0.830855, Average Loss  0.869995, Time  0.170576
2021-09-10 21:50:27.193054 : Epoch  2, Batch    911, Loss  0.841519, Average Loss  0.869943, Time  0.173566
2021-09-10 21:50:28.780755 : Epoch  2, Batch    912, Loss  0.866843, Average Loss  0.870022, Time  0.171720
2021-09-10 21:50:30.417038 : Epoch  2, Batch    913, Loss  0.868810, Average Loss  0.870046, Time  0.177471
2021-09-10 21:50:32.018123 : Epoch  2, Batch    914, Loss  0.854224, Average Loss  0.869901, Time  0.172742
2021-09-10 21:50:33.598084 : Epoch  2, Batch    915, Loss  0.861736, Average Loss  0.869788, Time  0.170315
2021-09-10 21:50:35.259034 : Epoch  2, Batch    916, Loss  0.874640, Average Loss  0.869782, Time  0.173346
2021-09-10 21:50:36.844778 : Epoch  2, Batch    917, Loss  0.866977, Average Loss  0.869588, Time  0.174410
2021-09-10 21:50:38.467223 : Epoch  2, Batch    918, Loss  0.856899, Average Loss  0.869596, Time  0.176970
2021-09-10 21:50:40.043465 : Epoch  2, Batch    919, Loss  0.875467, Average Loss  0.869639, Time  0.171472
2021-09-10 21:50:41.646081 : Epoch  2, Batch    920, Loss  0.849127, Average Loss  0.869506, Time  0.176743
2021-09-10 21:50:43.243028 : Epoch  2, Batch    921, Loss  0.908271, Average Loss  0.869599, Time  0.169871
2021-09-10 21:50:44.830047 : Epoch  2, Batch    922, Loss  0.850034, Average Loss  0.869356, Time  0.176126
2021-09-10 21:50:46.402852 : Epoch  2, Batch    923, Loss  0.843855, Average Loss  0.869147, Time  0.170086
2021-09-10 21:50:47.995847 : Epoch  2, Batch    924, Loss  0.888172, Average Loss  0.869209, Time  0.173247
2021-09-10 21:50:49.565025 : Epoch  2, Batch    925, Loss  0.870241, Average Loss  0.869347, Time  0.171864
2021-09-10 21:50:51.155031 : Epoch  2, Batch    926, Loss  0.892900, Average Loss  0.869544, Time  0.170249
2021-09-10 21:50:52.775030 : Epoch  2, Batch    927, Loss  0.863833, Average Loss  0.869524, Time  0.184836
2021-09-10 21:50:54.404025 : Epoch  2, Batch    928, Loss  0.884060, Average Loss  0.869667, Time  0.171285
2021-09-10 21:50:56.007030 : Epoch  2, Batch    929, Loss  0.875579, Average Loss  0.869445, Time  0.181809
2021-09-10 21:50:57.617800 : Epoch  2, Batch    930, Loss  0.874375, Average Loss  0.869413, Time  0.173412
2021-09-10 21:50:59.197079 : Epoch  2, Batch    931, Loss  0.841233, Average Loss  0.869314, Time  0.174141
2021-09-10 21:51:00.792729 : Epoch  2, Batch    932, Loss  0.867124, Average Loss  0.869248, Time  0.174501
2021-09-10 21:51:02.415026 : Epoch  2, Batch    933, Loss  0.865206, Average Loss  0.869234, Time  0.175731
2021-09-10 21:51:04.025038 : Epoch  2, Batch    934, Loss  0.868801, Average Loss  0.869254, Time  0.171985
2021-09-10 21:51:05.627019 : Epoch  2, Batch    935, Loss  0.857560, Average Loss  0.869142, Time  0.181168
2021-09-10 21:51:07.249013 : Epoch  2, Batch    936, Loss  0.857062, Average Loss  0.869144, Time  0.175646
2021-09-10 21:51:08.835901 : Epoch  2, Batch    937, Loss  0.878162, Average Loss  0.869001, Time  0.171104
2021-09-10 21:51:10.406606 : Epoch  2, Batch    938, Loss  0.875430, Average Loss  0.868941, Time  0.176064
2021-09-10 21:51:11.988025 : Epoch  2, Batch    939, Loss  0.882169, Average Loss  0.868959, Time  0.177226
2021-09-10 21:51:13.576845 : Epoch  2, Batch    940, Loss  0.851196, Average Loss  0.868714, Time  0.169779
2021-09-10 21:51:15.162044 : Epoch  2, Batch    941, Loss  0.862828, Average Loss  0.868598, Time  0.170069
2021-09-10 21:51:16.743772 : Epoch  2, Batch    942, Loss  0.885501, Average Loss  0.868550, Time  0.176190
2021-09-10 21:51:18.330030 : Epoch  2, Batch    943, Loss  0.915089, Average Loss  0.868833, Time  0.175929
2021-09-10 21:51:19.939033 : Epoch  2, Batch    944, Loss  0.862777, Average Loss  0.868710, Time  0.169756
2021-09-10 21:51:21.553028 : Epoch  2, Batch    945, Loss  0.858294, Average Loss  0.868640, Time  0.176399
2021-09-10 21:51:23.143030 : Epoch  2, Batch    946, Loss  0.897319, Average Loss  0.868748, Time  0.169895
2021-09-10 21:51:24.710706 : Epoch  2, Batch    947, Loss  0.822056, Average Loss  0.868531, Time  0.170182
2021-09-10 21:51:26.291019 : Epoch  2, Batch    948, Loss  0.847762, Average Loss  0.868406, Time  0.170845
2021-09-10 21:51:27.886770 : Epoch  2, Batch    949, Loss  0.866925, Average Loss  0.868313, Time  0.176789
2021-09-10 21:51:29.474857 : Epoch  2, Batch    950, Loss  0.886346, Average Loss  0.868522, Time  0.171191
2021-09-10 21:51:31.083027 : Epoch  2, Batch    951, Loss  0.873366, Average Loss  0.868516, Time  0.192323
2021-09-10 21:51:32.719021 : Epoch  2, Batch    952, Loss  0.852460, Average Loss  0.868511, Time  0.178386
2021-09-10 21:51:34.312033 : Epoch  2, Batch    953, Loss  0.852742, Average Loss  0.868555, Time  0.178720
2021-09-10 21:51:35.890018 : Epoch  2, Batch    954, Loss  0.887320, Average Loss  0.868789, Time  0.171392
2021-09-10 21:51:37.473036 : Epoch  2, Batch    955, Loss  0.849140, Average Loss  0.868631, Time  0.170287
2021-09-10 21:51:39.075766 : Epoch  2, Batch    956, Loss  0.844866, Average Loss  0.868441, Time  0.182552
2021-09-10 21:51:40.694766 : Epoch  2, Batch    957, Loss  0.893291, Average Loss  0.868619, Time  0.171787
2021-09-10 21:51:42.284738 : Epoch  2, Batch    958, Loss  0.846726, Average Loss  0.868439, Time  0.173482
2021-09-10 21:51:43.849692 : Epoch  2, Batch    959, Loss  0.899507, Average Loss  0.868593, Time  0.173057
2021-09-10 21:51:45.423787 : Epoch  2, Batch    960, Loss  0.837459, Average Loss  0.868291, Time  0.169882
2021-09-10 21:51:47.011736 : Epoch  2, Batch    961, Loss  0.876985, Average Loss  0.868220, Time  0.183177
2021-09-10 21:51:48.592028 : Epoch  2, Batch    962, Loss  0.876677, Average Loss  0.868181, Time  0.170447
2021-09-10 21:51:50.177846 : Epoch  2, Batch    963, Loss  0.843566, Average Loss  0.868068, Time  0.170003
2021-09-10 21:51:51.759863 : Epoch  2, Batch    964, Loss  0.873154, Average Loss  0.868133, Time  0.169713
2021-09-10 21:51:53.388771 : Epoch  2, Batch    965, Loss  0.857013, Average Loss  0.868192, Time  0.175842
2021-09-10 21:51:54.973802 : Epoch  2, Batch    966, Loss  0.864829, Average Loss  0.868048, Time  0.169928
2021-09-10 21:51:56.564738 : Epoch  2, Batch    967, Loss  0.858298, Average Loss  0.868021, Time  0.172400
2021-09-10 21:51:58.159819 : Epoch  2, Batch    968, Loss  0.903827, Average Loss  0.868311, Time  0.170745
2021-09-10 21:51:59.736775 : Epoch  2, Batch    969, Loss  0.856602, Average Loss  0.868190, Time  0.169834
2021-09-10 21:52:01.325969 : Epoch  2, Batch    970, Loss  0.857785, Average Loss  0.868195, Time  0.173733
2021-09-10 21:52:02.899029 : Epoch  2, Batch    971, Loss  0.866355, Average Loss  0.868145, Time  0.178138
2021-09-10 21:52:04.480756 : Epoch  2, Batch    972, Loss  0.867286, Average Loss  0.868071, Time  0.174034
2021-09-10 21:52:06.095737 : Epoch  2, Batch    973, Loss  0.864477, Average Loss  0.868164, Time  0.178556
2021-09-10 21:52:07.682763 : Epoch  2, Batch    974, Loss  0.900704, Average Loss  0.868423, Time  0.172397
2021-09-10 21:52:09.286995 : Epoch  2, Batch    975, Loss  0.890216, Average Loss  0.868724, Time  0.173963
2021-09-10 21:52:10.877778 : Epoch  2, Batch    976, Loss  0.870224, Average Loss  0.868703, Time  0.179979
2021-09-10 21:52:12.476765 : Epoch  2, Batch    977, Loss  0.890980, Average Loss  0.868724, Time  0.180805
2021-09-10 21:52:14.051040 : Epoch  2, Batch    978, Loss  0.862809, Average Loss  0.868720, Time  0.170211
2021-09-10 21:52:15.624044 : Epoch  2, Batch    979, Loss  0.867377, Average Loss  0.868665, Time  0.173279
2021-09-10 21:52:17.197747 : Epoch  2, Batch    980, Loss  0.887997, Average Loss  0.868750, Time  0.175082
2021-09-10 21:52:18.784027 : Epoch  2, Batch    981, Loss  0.871629, Average Loss  0.868819, Time  0.173121
2021-09-10 21:52:20.369818 : Epoch  2, Batch    982, Loss  0.853553, Average Loss  0.868664, Time  0.177845
2021-09-10 21:52:21.952031 : Epoch  2, Batch    983, Loss  0.906244, Average Loss  0.868845, Time  0.169617
2021-09-10 21:52:23.548829 : Epoch  2, Batch    984, Loss  0.851235, Average Loss  0.868842, Time  0.170152
2021-09-10 21:52:25.134778 : Epoch  2, Batch    985, Loss  0.887179, Average Loss  0.868687, Time  0.175886
2021-09-10 21:52:26.688950 : Epoch  2, Batch    986, Loss  0.909755, Average Loss  0.868858, Time  0.173635
2021-09-10 21:52:28.272034 : Epoch  2, Batch    987, Loss  0.876572, Average Loss  0.868971, Time  0.170774
2021-09-10 21:52:29.858754 : Epoch  2, Batch    988, Loss  0.884477, Average Loss  0.868876, Time  0.174261
2021-09-10 21:52:31.418760 : Epoch  2, Batch    989, Loss  0.868763, Average Loss  0.868883, Time  0.170317
2021-09-10 21:57:12.475712 : CheckPoint: Validation Loss  0.00061384, Best Loss  0.00057296
2021-09-10 21:57:14.088938 : Epoch  2, Batch    990, Loss  0.854019, Average Loss  0.868777, Time  0.177530
2021-09-10 21:57:15.672737 : Epoch  2, Batch    991, Loss  0.884955, Average Loss  0.868781, Time  0.178202
2021-09-10 21:57:17.305895 : Epoch  2, Batch    992, Loss  0.867732, Average Loss  0.868725, Time  0.182396
2021-09-10 21:57:18.924029 : Epoch  2, Batch    993, Loss  0.874007, Average Loss  0.868632, Time  0.172873
2021-09-10 21:57:20.522753 : Epoch  2, Batch    994, Loss  0.881761, Average Loss  0.868759, Time  0.170138
2021-09-10 21:57:22.107020 : Epoch  2, Batch    995, Loss  0.871590, Average Loss  0.868713, Time  0.170382
2021-09-10 21:57:23.715848 : Epoch  2, Batch    996, Loss  0.847516, Average Loss  0.868748, Time  0.174667
2021-09-10 21:57:25.321016 : Epoch  2, Batch    997, Loss  0.860426, Average Loss  0.868714, Time  0.174925
2021-09-10 21:57:26.922842 : Epoch  2, Batch    998, Loss  0.857501, Average Loss  0.868540, Time  0.170112
2021-09-10 21:57:28.521009 : Epoch  2, Batch    999, Loss  0.856233, Average Loss  0.868238, Time  0.174431
2021-09-10 21:57:30.124049 : Epoch  2, Batch   1000, Loss  0.873401, Average Loss  0.868075, Time  0.172908
2021-09-10 21:57:31.694027 : Epoch  2, Batch   1001, Loss  0.854173, Average Loss  0.868152, Time  0.170860
2021-09-10 21:57:33.285021 : Epoch  2, Batch   1002, Loss  0.847389, Average Loss  0.868111, Time  0.169787
2021-09-10 21:57:34.890032 : Epoch  2, Batch   1003, Loss  0.878978, Average Loss  0.868212, Time  0.174435
2021-09-10 21:57:36.495825 : Epoch  2, Batch   1004, Loss  0.846685, Average Loss  0.867989, Time  0.177651
2021-09-10 21:57:38.106040 : Epoch  2, Batch   1005, Loss  0.866518, Average Loss  0.868008, Time  0.169886
2021-09-10 21:57:39.702761 : Epoch  2, Batch   1006, Loss  0.871041, Average Loss  0.867980, Time  0.173174
2021-09-10 21:57:41.269784 : Epoch  2, Batch   1007, Loss  0.857472, Average Loss  0.867918, Time  0.172951
2021-09-10 21:57:42.844755 : Epoch  2, Batch   1008, Loss  0.871804, Average Loss  0.867859, Time  0.170909
2021-09-10 21:57:44.432033 : Epoch  2, Batch   1009, Loss  0.863782, Average Loss  0.867652, Time  0.169965
2021-09-10 21:57:46.009913 : Epoch  2, Batch   1010, Loss  0.885599, Average Loss  0.867894, Time  0.170936
2021-09-10 21:57:47.630808 : Epoch  2, Batch   1011, Loss  0.862110, Average Loss  0.867961, Time  0.174776
2021-09-10 21:57:49.232023 : Epoch  2, Batch   1012, Loss  0.875478, Average Loss  0.868107, Time  0.181431
2021-09-10 21:57:50.822060 : Epoch  2, Batch   1013, Loss  0.861703, Average Loss  0.868069, Time  0.177335
2021-09-10 21:57:52.406024 : Epoch  2, Batch   1014, Loss  0.891216, Average Loss  0.868067, Time  0.174491
2021-09-10 21:57:53.998032 : Epoch  2, Batch   1015, Loss  0.844157, Average Loss  0.868064, Time  0.169852
2021-09-10 21:57:55.581806 : Epoch  2, Batch   1016, Loss  0.840797, Average Loss  0.867798, Time  0.171467
2021-09-10 21:57:57.159818 : Epoch  2, Batch   1017, Loss  0.861402, Average Loss  0.867745, Time  0.170373
2021-09-10 21:57:58.765857 : Epoch  2, Batch   1018, Loss  0.875767, Average Loss  0.867846, Time  0.172902
2021-09-10 21:58:00.356039 : Epoch  2, Batch   1019, Loss  0.875406, Average Loss  0.867788, Time  0.172864
2021-09-10 21:58:01.938731 : Epoch  2, Batch   1020, Loss  0.862788, Average Loss  0.867886, Time  0.173753
2021-09-10 21:58:03.539790 : Epoch  2, Batch   1021, Loss  0.881584, Average Loss  0.868032, Time  0.170083
2021-09-10 21:58:05.138764 : Epoch  2, Batch   1022, Loss  0.856871, Average Loss  0.867996, Time  0.170025
2021-09-10 21:58:06.746033 : Epoch  2, Batch   1023, Loss  0.860412, Average Loss  0.868084, Time  0.173019
2021-09-10 21:58:08.331026 : Epoch  2, Batch   1024, Loss  0.864276, Average Loss  0.868080, Time  0.169819
2021-09-10 21:58:09.934033 : Epoch  2, Batch   1025, Loss  0.848431, Average Loss  0.867977, Time  0.171733
2021-09-10 21:58:11.525119 : Epoch  2, Batch   1026, Loss  0.870662, Average Loss  0.868019, Time  0.176313
2021-09-10 21:58:13.117029 : Epoch  2, Batch   1027, Loss  0.883923, Average Loss  0.868182, Time  0.174873
2021-09-10 21:58:14.684865 : Epoch  2, Batch   1028, Loss  0.869143, Average Loss  0.868173, Time  0.170418
2021-09-10 21:58:16.279031 : Epoch  2, Batch   1029, Loss  0.876541, Average Loss  0.868177, Time  0.175397
2021-09-10 21:58:17.866034 : Epoch  2, Batch   1030, Loss  0.856637, Average Loss  0.868110, Time  0.178797
2021-09-10 21:58:19.445075 : Epoch  2, Batch   1031, Loss  0.884963, Average Loss  0.868199, Time  0.171760
2021-09-10 21:58:21.038024 : Epoch  2, Batch   1032, Loss  0.866792, Average Loss  0.868189, Time  0.170309
2021-09-10 21:58:22.652904 : Epoch  2, Batch   1033, Loss  0.862786, Average Loss  0.868303, Time  0.170720
2021-09-10 21:58:24.254544 : Epoch  2, Batch   1034, Loss  0.859393, Average Loss  0.868143, Time  0.169927
2021-09-10 21:58:25.824778 : Epoch  2, Batch   1035, Loss  0.856764, Average Loss  0.867978, Time  0.170021
2021-09-10 21:58:27.427027 : Epoch  2, Batch   1036, Loss  0.895148, Average Loss  0.868143, Time  0.174628
2021-09-10 21:58:29.041034 : Epoch  2, Batch   1037, Loss  0.900150, Average Loss  0.868325, Time  0.172125
2021-09-10 21:58:30.623750 : Epoch  2, Batch   1038, Loss  0.855781, Average Loss  0.868350, Time  0.169848
2021-09-10 21:58:32.224036 : Epoch  2, Batch   1039, Loss  0.879378, Average Loss  0.868542, Time  0.170458
2021-09-10 21:58:33.816844 : Epoch  2, Batch   1040, Loss  0.874630, Average Loss  0.868368, Time  0.169694
2021-09-10 21:58:35.456033 : Epoch  2, Batch   1041, Loss  0.875930, Average Loss  0.868425, Time  0.174013
2021-09-10 21:58:37.058754 : Epoch  2, Batch   1042, Loss  0.844968, Average Loss  0.868305, Time  0.173331
2021-09-10 21:58:38.681848 : Epoch  2, Batch   1043, Loss  0.839095, Average Loss  0.868240, Time  0.178565
2021-09-10 21:58:40.278681 : Epoch  2, Batch   1044, Loss  0.881580, Average Loss  0.868346, Time  0.171830
2021-09-10 21:58:41.859026 : Epoch  2, Batch   1045, Loss  0.836285, Average Loss  0.868172, Time  0.170206
2021-09-10 21:58:43.440790 : Epoch  2, Batch   1046, Loss  0.881798, Average Loss  0.868170, Time  0.170301
2021-09-10 21:58:45.036808 : Epoch  2, Batch   1047, Loss  0.875990, Average Loss  0.868166, Time  0.173886
2021-09-10 21:58:46.651856 : Epoch  2, Batch   1048, Loss  0.810288, Average Loss  0.867832, Time  0.180791
2021-09-10 21:58:48.276046 : Epoch  2, Batch   1049, Loss  0.823435, Average Loss  0.867586, Time  0.173477
2021-09-10 21:58:49.877278 : Epoch  2, Batch   1050, Loss  0.857764, Average Loss  0.867642, Time  0.173424
2021-09-10 21:58:51.479874 : Epoch  2, Batch   1051, Loss  0.875995, Average Loss  0.867706, Time  0.170672
2021-09-10 21:58:53.072749 : Epoch  2, Batch   1052, Loss  0.850339, Average Loss  0.867616, Time  0.170196
2021-09-10 21:58:54.672021 : Epoch  2, Batch   1053, Loss  0.861752, Average Loss  0.867657, Time  0.173922
2021-09-10 21:58:56.266748 : Epoch  2, Batch   1054, Loss  0.889911, Average Loss  0.867794, Time  0.170896
2021-09-10 21:58:57.895075 : Epoch  2, Batch   1055, Loss  0.834681, Average Loss  0.867523, Time  0.173198
2021-09-10 21:58:59.501807 : Epoch  2, Batch   1056, Loss  0.846656, Average Loss  0.867554, Time  0.170298
2021-09-10 21:59:01.130818 : Epoch  2, Batch   1057, Loss  0.855997, Average Loss  0.867357, Time  0.171229
2021-09-10 21:59:02.735056 : Epoch  2, Batch   1058, Loss  0.882425, Average Loss  0.867586, Time  0.170402
2021-09-10 21:59:04.354383 : Epoch  2, Batch   1059, Loss  0.899316, Average Loss  0.867633, Time  0.174670
2021-09-10 21:59:05.962807 : Epoch  2, Batch   1060, Loss  0.845244, Average Loss  0.867374, Time  0.170421
2021-09-10 21:59:07.577838 : Epoch  2, Batch   1061, Loss  0.873173, Average Loss  0.867304, Time  0.176526
2021-09-10 21:59:09.207770 : Epoch  2, Batch   1062, Loss  0.860748, Average Loss  0.867185, Time  0.171022
2021-09-10 21:59:10.794858 : Epoch  2, Batch   1063, Loss  0.889801, Average Loss  0.867293, Time  0.174070
2021-09-10 21:59:12.383834 : Epoch  2, Batch   1064, Loss  0.851066, Average Loss  0.867017, Time  0.170253
2021-09-10 21:59:13.999889 : Epoch  2, Batch   1065, Loss  0.842849, Average Loss  0.866813, Time  0.170616
2021-09-10 21:59:15.605733 : Epoch  2, Batch   1066, Loss  0.895169, Average Loss  0.867092, Time  0.178855
2021-09-10 21:59:17.196845 : Epoch  2, Batch   1067, Loss  0.849667, Average Loss  0.866981, Time  0.169920
2021-09-10 21:59:18.800778 : Epoch  2, Batch   1068, Loss  0.821676, Average Loss  0.866645, Time  0.170777
2021-09-10 21:59:20.417748 : Epoch  2, Batch   1069, Loss  0.874320, Average Loss  0.866673, Time  0.173837
2021-09-10 21:59:22.011033 : Epoch  2, Batch   1070, Loss  0.884490, Average Loss  0.866622, Time  0.169817
2021-09-10 21:59:23.607034 : Epoch  2, Batch   1071, Loss  0.881045, Average Loss  0.866739, Time  0.170586
2021-09-10 21:59:25.195896 : Epoch  2, Batch   1072, Loss  0.874872, Average Loss  0.866752, Time  0.170155
2021-09-10 21:59:26.802854 : Epoch  2, Batch   1073, Loss  0.906212, Average Loss  0.866840, Time  0.170571
2021-09-10 21:59:28.397824 : Epoch  2, Batch   1074, Loss  0.884732, Average Loss  0.866960, Time  0.172390
2021-09-10 21:59:29.998030 : Epoch  2, Batch   1075, Loss  0.862141, Average Loss  0.866901, Time  0.172878
2021-09-10 21:59:31.598029 : Epoch  2, Batch   1076, Loss  0.891020, Average Loss  0.866976, Time  0.173740
2021-09-10 21:59:33.184272 : Epoch  2, Batch   1077, Loss  0.857347, Average Loss  0.866804, Time  0.173754
2021-09-10 21:59:34.798741 : Epoch  2, Batch   1078, Loss  0.874780, Average Loss  0.866897, Time  0.173817
2021-09-10 21:59:36.401777 : Epoch  2, Batch   1079, Loss  0.883338, Average Loss  0.866983, Time  0.170845
2021-09-10 21:59:38.009765 : Epoch  2, Batch   1080, Loss  0.889260, Average Loss  0.867156, Time  0.176333
2021-09-10 21:59:39.590565 : Epoch  2, Batch   1081, Loss  0.864487, Average Loss  0.867140, Time  0.169592
2021-09-10 21:59:41.171422 : Epoch  2, Batch   1082, Loss  0.836228, Average Loss  0.866967, Time  0.169494
2021-09-10 21:59:42.766865 : Epoch  2, Batch   1083, Loss  0.852183, Average Loss  0.866768, Time  0.183300
2021-09-10 21:59:44.359027 : Epoch  2, Batch   1084, Loss  0.900263, Average Loss  0.866968, Time  0.173493
2021-09-10 21:59:45.956041 : Epoch  2, Batch   1085, Loss  0.836729, Average Loss  0.866706, Time  0.172234
2021-09-10 21:59:47.536031 : Epoch  2, Batch   1086, Loss  0.873704, Average Loss  0.866711, Time  0.169690
2021-09-10 21:59:49.163806 : Epoch  2, Batch   1087, Loss  0.861616, Average Loss  0.866606, Time  0.170135
2021-09-10 21:59:50.752056 : Epoch  2, Batch   1088, Loss  0.851654, Average Loss  0.866540, Time  0.172107
2021-09-10 21:59:52.337876 : Epoch  2, Batch   1089, Loss  0.896566, Average Loss  0.866708, Time  0.170094
2021-09-10 22:04:33.146714 : CheckPoint: Validation Loss  0.00059754, Best Loss  0.00057296
2021-09-10 22:04:34.752963 : Epoch  2, Batch   1090, Loss  0.851797, Average Loss  0.866736, Time  0.177910
2021-09-10 22:04:36.348769 : Epoch  2, Batch   1091, Loss  0.868782, Average Loss  0.866888, Time  0.170550
2021-09-10 22:04:37.929219 : Epoch  2, Batch   1092, Loss  0.903990, Average Loss  0.867040, Time  0.171021
2021-09-10 22:04:39.501127 : Epoch  2, Batch   1093, Loss  0.848531, Average Loss  0.866989, Time  0.173203
2021-09-10 22:04:41.071017 : Epoch  2, Batch   1094, Loss  0.875154, Average Loss  0.867029, Time  0.170084
2021-09-10 22:04:42.659030 : Epoch  2, Batch   1095, Loss  0.887605, Average Loss  0.867127, Time  0.175574
2021-09-10 22:04:44.236026 : Epoch  2, Batch   1096, Loss  0.883447, Average Loss  0.867156, Time  0.170272
2021-09-10 22:04:45.817003 : Epoch  2, Batch   1097, Loss  0.859143, Average Loss  0.867173, Time  0.170603
2021-09-10 22:04:47.433022 : Epoch  2, Batch   1098, Loss  0.891054, Average Loss  0.867352, Time  0.172761
2021-09-10 22:04:49.044057 : Epoch  2, Batch   1099, Loss  0.894163, Average Loss  0.867538, Time  0.170608
2021-09-10 22:04:50.618012 : Epoch  2, Batch   1100, Loss  0.887661, Average Loss  0.867637, Time  0.170183
2021-09-10 22:04:52.246837 : Epoch  2, Batch   1101, Loss  0.887780, Average Loss  0.867981, Time  0.176515
2021-09-10 22:04:53.844021 : Epoch  2, Batch   1102, Loss  0.844550, Average Loss  0.868041, Time  0.169467
2021-09-10 22:04:55.419078 : Epoch  2, Batch   1103, Loss  0.911464, Average Loss  0.868229, Time  0.173283
2021-09-10 22:04:57.029018 : Epoch  2, Batch   1104, Loss  0.879305, Average Loss  0.868123, Time  0.172357
2021-09-10 22:04:58.623026 : Epoch  2, Batch   1105, Loss  0.866273, Average Loss  0.868064, Time  0.174097
2021-09-10 22:05:00.214017 : Epoch  2, Batch   1106, Loss  0.840036, Average Loss  0.868019, Time  0.172319
2021-09-10 22:05:01.844019 : Epoch  2, Batch   1107, Loss  0.876031, Average Loss  0.868055, Time  0.178519
2021-09-10 22:05:03.446825 : Epoch  2, Batch   1108, Loss  0.834731, Average Loss  0.867933, Time  0.171021
2021-09-10 22:05:05.026022 : Epoch  2, Batch   1109, Loss  0.888113, Average Loss  0.868143, Time  0.170063
2021-09-10 22:05:06.630941 : Epoch  2, Batch   1110, Loss  0.875102, Average Loss  0.868364, Time  0.177043
2021-09-10 22:05:08.223942 : Epoch  2, Batch   1111, Loss  0.875759, Average Loss  0.868535, Time  0.172688
2021-09-10 22:05:09.796779 : Epoch  2, Batch   1112, Loss  0.846561, Average Loss  0.868434, Time  0.170560
2021-09-10 22:05:11.382729 : Epoch  2, Batch   1113, Loss  0.897198, Average Loss  0.868576, Time  0.170765
2021-09-10 22:05:13.023868 : Epoch  2, Batch   1114, Loss  0.884222, Average Loss  0.868726, Time  0.176461
2021-09-10 22:05:14.612239 : Epoch  2, Batch   1115, Loss  0.884720, Average Loss  0.868841, Time  0.180240
2021-09-10 22:05:16.187757 : Epoch  2, Batch   1116, Loss  0.856206, Average Loss  0.868749, Time  0.170475
2021-09-10 22:05:17.772763 : Epoch  2, Batch   1117, Loss  0.872463, Average Loss  0.868776, Time  0.177758
2021-09-10 22:05:19.339077 : Epoch  2, Batch   1118, Loss  0.834493, Average Loss  0.868664, Time  0.169442
2021-09-10 22:05:20.936830 : Epoch  2, Batch   1119, Loss  0.861996, Average Loss  0.868597, Time  0.169985
2021-09-10 22:05:22.541971 : Epoch  2, Batch   1120, Loss  0.905391, Average Loss  0.868878, Time  0.176820
2021-09-10 22:05:24.132033 : Epoch  2, Batch   1121, Loss  0.864204, Average Loss  0.868658, Time  0.182385
2021-09-10 22:05:25.722798 : Epoch  2, Batch   1122, Loss  0.835154, Average Loss  0.868583, Time  0.173414
2021-09-10 22:05:27.324844 : Epoch  2, Batch   1123, Loss  0.863655, Average Loss  0.868682, Time  0.175199
2021-09-10 22:05:28.917937 : Epoch  2, Batch   1124, Loss  0.862066, Average Loss  0.868552, Time  0.169589
2021-09-10 22:05:30.501779 : Epoch  2, Batch   1125, Loss  0.888035, Average Loss  0.868641, Time  0.173364
2021-09-10 22:05:32.091022 : Epoch  2, Batch   1126, Loss  0.861062, Average Loss  0.868481, Time  0.171364
2021-09-10 22:05:33.711817 : Epoch  2, Batch   1127, Loss  0.876506, Average Loss  0.868545, Time  0.170753
2021-09-10 22:05:35.303743 : Epoch  2, Batch   1128, Loss  0.854523, Average Loss  0.868397, Time  0.169792
2021-09-10 22:05:36.930030 : Epoch  2, Batch   1129, Loss  0.876883, Average Loss  0.868404, Time  0.171339
2021-09-10 22:05:38.516772 : Epoch  2, Batch   1130, Loss  0.837385, Average Loss  0.868219, Time  0.169688
2021-09-10 22:05:40.104810 : Epoch  2, Batch   1131, Loss  0.889937, Average Loss  0.868462, Time  0.173001
2021-09-10 22:05:41.684764 : Epoch  2, Batch   1132, Loss  0.879291, Average Loss  0.868523, Time  0.175339
2021-09-10 22:05:43.290027 : Epoch  2, Batch   1133, Loss  0.847731, Average Loss  0.868436, Time  0.170740
2021-09-10 22:05:44.919792 : Epoch  2, Batch   1134, Loss  0.870701, Average Loss  0.868445, Time  0.176336
2021-09-10 22:05:46.521028 : Epoch  2, Batch   1135, Loss  0.864100, Average Loss  0.868478, Time  0.169794
2021-09-10 22:05:48.121741 : Epoch  2, Batch   1136, Loss  0.865609, Average Loss  0.868521, Time  0.183011
2021-09-10 22:05:49.728154 : Epoch  2, Batch   1137, Loss  0.869636, Average Loss  0.868478, Time  0.179045
2021-09-10 22:05:51.314747 : Epoch  2, Batch   1138, Loss  0.887175, Average Loss  0.868537, Time  0.169705
2021-09-10 22:05:52.908946 : Epoch  2, Batch   1139, Loss  0.865997, Average Loss  0.868456, Time  0.169692
2021-09-10 22:05:54.520758 : Epoch  2, Batch   1140, Loss  0.873114, Average Loss  0.868565, Time  0.174792
2021-09-10 22:05:56.088029 : Epoch  2, Batch   1141, Loss  0.877634, Average Loss  0.868639, Time  0.170088
2021-09-10 22:05:57.666759 : Epoch  2, Batch   1142, Loss  0.870211, Average Loss  0.868563, Time  0.170602
2021-09-10 22:05:59.254918 : Epoch  2, Batch   1143, Loss  0.900638, Average Loss  0.868491, Time  0.170350
2021-09-10 22:06:00.839835 : Epoch  2, Batch   1144, Loss  0.885677, Average Loss  0.868605, Time  0.174362
2021-09-10 22:06:02.439023 : Epoch  2, Batch   1145, Loss  0.869300, Average Loss  0.868660, Time  0.173531
2021-09-10 22:06:04.042026 : Epoch  2, Batch   1146, Loss  0.888122, Average Loss  0.868614, Time  0.176515
2021-09-10 22:06:05.634031 : Epoch  2, Batch   1147, Loss  0.845865, Average Loss  0.868733, Time  0.171688
2021-09-10 22:06:07.234037 : Epoch  2, Batch   1148, Loss  0.892560, Average Loss  0.868957, Time  0.170826
2021-09-10 22:06:08.816030 : Epoch  2, Batch   1149, Loss  0.877207, Average Loss  0.869009, Time  0.170990
2021-09-10 22:06:10.395020 : Epoch  2, Batch   1150, Loss  0.869978, Average Loss  0.868927, Time  0.174095
2021-09-10 22:06:11.978750 : Epoch  2, Batch   1151, Loss  0.870068, Average Loss  0.868910, Time  0.175646
2021-09-10 22:06:13.580742 : Epoch  2, Batch   1152, Loss  0.870773, Average Loss  0.869002, Time  0.178284
2021-09-10 22:06:15.179813 : Epoch  2, Batch   1153, Loss  0.898128, Average Loss  0.869229, Time  0.173501
2021-09-10 22:06:16.765799 : Epoch  2, Batch   1154, Loss  0.880108, Average Loss  0.869193, Time  0.173268
2021-09-10 22:06:18.372679 : Epoch  2, Batch   1155, Loss  0.869939, Average Loss  0.869297, Time  0.177166
2021-09-10 22:06:19.952114 : Epoch  2, Batch   1156, Loss  0.868001, Average Loss  0.869412, Time  0.170405
2021-09-10 22:06:21.541925 : Epoch  2, Batch   1157, Loss  0.860802, Average Loss  0.869250, Time  0.170570
2021-09-10 22:06:23.131745 : Epoch  2, Batch   1158, Loss  0.891841, Average Loss  0.869476, Time  0.170383
2021-09-10 22:06:24.709062 : Epoch  2, Batch   1159, Loss  0.882557, Average Loss  0.869391, Time  0.170537
2021-09-10 22:06:26.311809 : Epoch  2, Batch   1160, Loss  0.878393, Average Loss  0.869596, Time  0.173664
2021-09-10 22:06:27.911028 : Epoch  2, Batch   1161, Loss  0.853582, Average Loss  0.869479, Time  0.172647
2021-09-10 22:06:29.485810 : Epoch  2, Batch   1162, Loss  0.886735, Average Loss  0.869529, Time  0.169804
2021-09-10 22:06:31.085035 : Epoch  2, Batch   1163, Loss  0.863553, Average Loss  0.869629, Time  0.174779
2021-09-10 22:06:32.694025 : Epoch  2, Batch   1164, Loss  0.918183, Average Loss  0.869854, Time  0.169983
2021-09-10 22:06:34.300025 : Epoch  2, Batch   1165, Loss  0.882251, Average Loss  0.869980, Time  0.169995
2021-09-10 22:06:35.881027 : Epoch  2, Batch   1166, Loss  0.889433, Average Loss  0.870103, Time  0.170257
2021-09-10 22:06:37.472028 : Epoch  2, Batch   1167, Loss  0.862088, Average Loss  0.870122, Time  0.181212
2021-09-10 22:06:39.091866 : Epoch  2, Batch   1168, Loss  0.885339, Average Loss  0.870030, Time  0.175484
2021-09-10 22:06:40.706026 : Epoch  2, Batch   1169, Loss  0.887311, Average Loss  0.870183, Time  0.173788
2021-09-10 22:06:42.299790 : Epoch  2, Batch   1170, Loss  0.840720, Average Loss  0.870098, Time  0.169579
2021-09-10 22:06:43.891027 : Epoch  2, Batch   1171, Loss  0.887723, Average Loss  0.870205, Time  0.173634
2021-09-10 22:06:45.482036 : Epoch  2, Batch   1172, Loss  0.888343, Average Loss  0.870310, Time  0.173966
2021-09-10 22:06:47.044031 : Epoch  2, Batch   1173, Loss  0.890253, Average Loss  0.870439, Time  0.171886
2021-09-10 22:06:48.620775 : Epoch  2, Batch   1174, Loss  0.883408, Average Loss  0.870352, Time  0.176706
2021-09-10 22:06:50.192732 : Epoch  2, Batch   1175, Loss  0.897926, Average Loss  0.870391, Time  0.169841
2021-09-10 22:06:51.788045 : Epoch  2, Batch   1176, Loss  0.850780, Average Loss  0.870294, Time  0.182389
2021-09-10 22:06:53.372798 : Epoch  2, Batch   1177, Loss  0.886507, Average Loss  0.870271, Time  0.177161
2021-09-10 22:06:55.000014 : Epoch  2, Batch   1178, Loss  0.876518, Average Loss  0.870340, Time  0.175268
2021-09-10 22:06:56.583050 : Epoch  2, Batch   1179, Loss  0.848241, Average Loss  0.870244, Time  0.173230
2021-09-10 22:06:58.167852 : Epoch  2, Batch   1180, Loss  0.887145, Average Loss  0.870240, Time  0.172120
2021-09-10 22:06:59.776025 : Epoch  2, Batch   1181, Loss  0.854001, Average Loss  0.870152, Time  0.170401
2021-09-10 22:07:01.352802 : Epoch  2, Batch   1182, Loss  0.848400, Average Loss  0.870126, Time  0.169866
2021-09-10 22:07:02.923741 : Epoch  2, Batch   1183, Loss  0.838496, Average Loss  0.869787, Time  0.174672
2021-09-10 22:07:04.495729 : Epoch  2, Batch   1184, Loss  0.872667, Average Loss  0.869894, Time  0.170662
2021-09-10 22:07:06.083028 : Epoch  2, Batch   1185, Loss  0.876849, Average Loss  0.869843, Time  0.171997
2021-09-10 22:07:07.688827 : Epoch  2, Batch   1186, Loss  0.885973, Average Loss  0.869724, Time  0.173628
2021-09-10 22:07:09.296018 : Epoch  2, Batch   1187, Loss  0.844331, Average Loss  0.869563, Time  0.172219
2021-09-10 22:07:10.912027 : Epoch  2, Batch   1188, Loss  0.867577, Average Loss  0.869478, Time  0.170558
2021-09-10 22:07:12.528018 : Epoch  2, Batch   1189, Loss  0.898185, Average Loss  0.869625, Time  0.175842
2021-09-10 22:11:52.373720 : CheckPoint: Validation Loss  0.00061398, Best Loss  0.00057296
2021-09-10 22:11:53.980934 : Epoch  2, Batch   1190, Loss  0.881656, Average Loss  0.869763, Time  0.175353
2021-09-10 22:11:55.583841 : Epoch  2, Batch   1191, Loss  0.862235, Average Loss  0.869650, Time  0.170195
2021-09-10 22:11:57.176817 : Epoch  2, Batch   1192, Loss  0.872153, Average Loss  0.869672, Time  0.170570
2021-09-10 22:11:58.785110 : Epoch  2, Batch   1193, Loss  0.869030, Average Loss  0.869647, Time  0.171248
2021-09-10 22:12:00.391811 : Epoch  2, Batch   1194, Loss  0.882942, Average Loss  0.869653, Time  0.170068
2021-09-10 22:12:02.003014 : Epoch  2, Batch   1195, Loss  0.869048, Average Loss  0.869640, Time  0.178765
2021-09-10 22:12:03.584770 : Epoch  2, Batch   1196, Loss  0.856250, Average Loss  0.869684, Time  0.177839
2021-09-10 22:12:05.194022 : Epoch  2, Batch   1197, Loss  0.856483, Average Loss  0.869664, Time  0.169723
2021-09-10 22:12:06.770336 : Epoch  2, Batch   1198, Loss  0.872459, Average Loss  0.869739, Time  0.181006
2021-09-10 22:12:08.347760 : Epoch  2, Batch   1199, Loss  0.873799, Average Loss  0.869827, Time  0.170276
2021-09-10 22:12:09.934028 : Epoch  2, Batch   1200, Loss  0.853761, Average Loss  0.869729, Time  0.169860
2021-09-10 22:12:11.535032 : Epoch  2, Batch   1201, Loss  0.895190, Average Loss  0.869934, Time  0.173627
2021-09-10 22:12:13.134012 : Epoch  2, Batch   1202, Loss  0.874826, Average Loss  0.870071, Time  0.171233
2021-09-10 22:12:14.721822 : Epoch  2, Batch   1203, Loss  0.888830, Average Loss  0.870120, Time  0.170864
2021-09-10 22:12:16.317788 : Epoch  2, Batch   1204, Loss  0.840005, Average Loss  0.870087, Time  0.169706
2021-09-10 22:12:17.907022 : Epoch  2, Batch   1205, Loss  0.888136, Average Loss  0.870195, Time  0.175341
2021-09-10 22:12:19.505846 : Epoch  2, Batch   1206, Loss  0.887799, Average Loss  0.870279, Time  0.170573
2021-09-10 22:12:21.099735 : Epoch  2, Batch   1207, Loss  0.835758, Average Loss  0.870170, Time  0.173053
2021-09-10 22:12:22.697033 : Epoch  2, Batch   1208, Loss  0.887183, Average Loss  0.870247, Time  0.169794
2021-09-10 22:12:24.296826 : Epoch  2, Batch   1209, Loss  0.871459, Average Loss  0.870285, Time  0.170356
2021-09-10 22:12:25.901030 : Epoch  2, Batch   1210, Loss  0.854866, Average Loss  0.870132, Time  0.171969
2021-09-10 22:12:27.501890 : Epoch  2, Batch   1211, Loss  0.895694, Average Loss  0.870300, Time  0.170151
2021-09-10 22:12:29.081026 : Epoch  2, Batch   1212, Loss  0.865336, Average Loss  0.870249, Time  0.169655
2021-09-10 22:12:30.681742 : Epoch  2, Batch   1213, Loss  0.881875, Average Loss  0.870350, Time  0.172131
2021-09-10 22:12:32.266887 : Epoch  2, Batch   1214, Loss  0.862781, Average Loss  0.870208, Time  0.170826
2021-09-10 22:12:33.862740 : Epoch  2, Batch   1215, Loss  0.865770, Average Loss  0.870316, Time  0.170591
2021-09-10 22:12:35.461013 : Epoch  2, Batch   1216, Loss  0.863117, Average Loss  0.870427, Time  0.169842
2021-09-10 22:12:37.050754 : Epoch  2, Batch   1217, Loss  0.863102, Average Loss  0.870436, Time  0.170296
2021-09-10 22:12:38.639027 : Epoch  2, Batch   1218, Loss  0.905416, Average Loss  0.870584, Time  0.171691
2021-09-10 22:12:40.237038 : Epoch  2, Batch   1219, Loss  0.887737, Average Loss  0.870646, Time  0.169586
2021-09-10 22:12:41.836019 : Epoch  2, Batch   1220, Loss  0.856629, Average Loss  0.870615, Time  0.169718
2021-09-10 22:12:43.437763 : Epoch  2, Batch   1221, Loss  0.859405, Average Loss  0.870504, Time  0.175125
2021-09-10 22:12:45.030753 : Epoch  2, Batch   1222, Loss  0.880108, Average Loss  0.870620, Time  0.170607
2021-09-10 22:12:46.620052 : Epoch  2, Batch   1223, Loss  0.870143, Average Loss  0.870669, Time  0.171918
2021-09-10 22:12:48.196796 : Epoch  2, Batch   1224, Loss  0.855804, Average Loss  0.870626, Time  0.173378
2021-09-10 22:12:49.776759 : Epoch  2, Batch   1225, Loss  0.924555, Average Loss  0.871007, Time  0.170388
2021-09-10 22:12:51.387804 : Epoch  2, Batch   1226, Loss  0.870733, Average Loss  0.871007, Time  0.169784
2021-09-10 22:12:53.024796 : Epoch  2, Batch   1227, Loss  0.885672, Average Loss  0.871016, Time  0.173132
2021-09-10 22:12:54.650030 : Epoch  2, Batch   1228, Loss  0.891347, Average Loss  0.871127, Time  0.179755
2021-09-10 22:12:56.256732 : Epoch  2, Batch   1229, Loss  0.859302, Average Loss  0.871041, Time  0.170644
2021-09-10 22:12:57.839787 : Epoch  2, Batch   1230, Loss  0.889357, Average Loss  0.871205, Time  0.174414
2021-09-10 22:12:59.435031 : Epoch  2, Batch   1231, Loss  0.842265, Average Loss  0.870991, Time  0.176324
2021-09-10 22:13:01.042062 : Epoch  2, Batch   1232, Loss  0.888825, Average Loss  0.871101, Time  0.170135
2021-09-10 22:13:02.654874 : Epoch  2, Batch   1233, Loss  0.902290, Average Loss  0.871299, Time  0.179932
2021-09-10 22:13:04.254045 : Epoch  2, Batch   1234, Loss  0.895307, Average Loss  0.871478, Time  0.169939
2021-09-10 22:13:05.835197 : Epoch  2, Batch   1235, Loss  0.873099, Average Loss  0.871560, Time  0.169981
2021-09-10 22:13:07.414827 : Epoch  2, Batch   1236, Loss  0.869844, Average Loss  0.871434, Time  0.172234
2021-09-10 22:13:09.033767 : Epoch  2, Batch   1237, Loss  0.856935, Average Loss  0.871217, Time  0.173425
2021-09-10 22:13:10.638106 : Epoch  2, Batch   1238, Loss  0.859200, Average Loss  0.871235, Time  0.170715
2021-09-10 22:13:12.216802 : Epoch  2, Batch   1239, Loss  0.856762, Average Loss  0.871121, Time  0.173197
2021-09-10 22:13:13.812819 : Epoch  2, Batch   1240, Loss  0.856878, Average Loss  0.871033, Time  0.170088
2021-09-10 22:13:15.403775 : Epoch  2, Batch   1241, Loss  0.894921, Average Loss  0.871128, Time  0.170774
2021-09-10 22:13:16.992019 : Epoch  2, Batch   1242, Loss  0.861687, Average Loss  0.871211, Time  0.169674
2021-09-10 22:13:18.581757 : Epoch  2, Batch   1243, Loss  0.858369, Average Loss  0.871308, Time  0.175909
2021-09-10 22:13:20.161770 : Epoch  2, Batch   1244, Loss  0.839197, Average Loss  0.871096, Time  0.169954
2021-09-10 22:13:21.755869 : Epoch  2, Batch   1245, Loss  0.863646, Average Loss  0.871233, Time  0.172952
2021-09-10 22:13:23.356639 : Epoch  2, Batch   1246, Loss  0.866008, Average Loss  0.871154, Time  0.170801
2021-09-10 22:13:24.943023 : Epoch  2, Batch   1247, Loss  0.852644, Average Loss  0.871037, Time  0.169714
2021-09-10 22:13:26.539730 : Epoch  2, Batch   1248, Loss  0.874473, Average Loss  0.871358, Time  0.170022
2021-09-10 22:13:28.138784 : Epoch  2, Batch   1249, Loss  0.879669, Average Loss  0.871639, Time  0.169898
2021-09-10 22:13:29.724031 : Epoch  2, Batch   1250, Loss  0.868575, Average Loss  0.871693, Time  0.169998
2021-09-10 22:13:31.306864 : Epoch  2, Batch   1251, Loss  0.865742, Average Loss  0.871642, Time  0.173745
2021-09-10 22:13:32.894045 : Epoch  2, Batch   1252, Loss  0.866753, Average Loss  0.871724, Time  0.170462
2021-09-10 22:13:34.492612 : Epoch  2, Batch   1253, Loss  0.874174, Average Loss  0.871786, Time  0.173383
2021-09-10 22:13:36.085907 : Epoch  2, Batch   1254, Loss  0.840790, Average Loss  0.871540, Time  0.177808
2021-09-10 22:13:37.684032 : Epoch  2, Batch   1255, Loss  0.871693, Average Loss  0.871725, Time  0.175333
2021-09-10 22:13:39.256732 : Epoch  2, Batch   1256, Loss  0.875578, Average Loss  0.871870, Time  0.173027
2021-09-10 22:13:40.854749 : Epoch  2, Batch   1257, Loss  0.866085, Average Loss  0.871920, Time  0.179885
2021-09-10 22:13:42.433918 : Epoch  2, Batch   1258, Loss  0.860031, Average Loss  0.871808, Time  0.176449
2021-09-10 22:13:44.041012 : Epoch  2, Batch   1259, Loss  0.867486, Average Loss  0.871649, Time  0.191334
2021-09-10 22:13:45.631026 : Epoch  2, Batch   1260, Loss  0.866929, Average Loss  0.871758, Time  0.176940
2021-09-10 22:13:47.211849 : Epoch  2, Batch   1261, Loss  0.839801, Average Loss  0.871591, Time  0.183645
2021-09-10 22:13:48.806918 : Epoch  2, Batch   1262, Loss  0.892062, Average Loss  0.871747, Time  0.174822
2021-09-10 22:13:50.400054 : Epoch  2, Batch   1263, Loss  0.894849, Average Loss  0.871773, Time  0.173106
2021-09-10 22:13:51.992107 : Epoch  2, Batch   1264, Loss  0.900801, Average Loss  0.872021, Time  0.169664
2021-09-10 22:13:53.599728 : Epoch  2, Batch   1265, Loss  0.878639, Average Loss  0.872200, Time  0.172998
2021-09-10 22:13:55.179684 : Epoch  2, Batch   1266, Loss  0.854120, Average Loss  0.871995, Time  0.179605
2021-09-10 22:13:56.788061 : Epoch  2, Batch   1267, Loss  0.865630, Average Loss  0.872075, Time  0.172806
2021-09-10 22:13:58.364946 : Epoch  2, Batch   1268, Loss  0.856276, Average Loss  0.872248, Time  0.174861
2021-09-10 22:13:59.962741 : Epoch  2, Batch   1269, Loss  0.898174, Average Loss  0.872367, Time  0.182024
2021-09-10 22:14:01.541800 : Epoch  2, Batch   1270, Loss  0.882543, Average Loss  0.872357, Time  0.173481
2021-09-10 22:14:03.148852 : Epoch  2, Batch   1271, Loss  0.878275, Average Loss  0.872344, Time  0.170257
2021-09-10 22:14:04.721091 : Epoch  2, Batch   1272, Loss  0.896625, Average Loss  0.872452, Time  0.170310
2021-09-10 22:14:06.294691 : Epoch  2, Batch   1273, Loss  0.856624, Average Loss  0.872204, Time  0.173077
2021-09-10 22:14:07.884911 : Epoch  2, Batch   1274, Loss  0.875249, Average Loss  0.872157, Time  0.170429
2021-09-10 22:14:09.496820 : Epoch  2, Batch   1275, Loss  0.886468, Average Loss  0.872279, Time  0.177969
2021-09-10 22:14:11.069774 : Epoch  2, Batch   1276, Loss  0.881381, Average Loss  0.872230, Time  0.170086
2021-09-10 22:14:12.678810 : Epoch  2, Batch   1277, Loss  0.910519, Average Loss  0.872496, Time  0.178087
2021-09-10 22:14:14.282755 : Epoch  2, Batch   1278, Loss  0.882761, Average Loss  0.872536, Time  0.172833
2021-09-10 22:14:15.869834 : Epoch  2, Batch   1279, Loss  0.838992, Average Loss  0.872314, Time  0.170620
2021-09-10 22:14:17.489725 : Epoch  2, Batch   1280, Loss  0.879350, Average Loss  0.872265, Time  0.169927
2021-09-10 22:14:19.097738 : Epoch  2, Batch   1281, Loss  0.855576, Average Loss  0.872220, Time  0.174962
2021-09-10 22:14:20.710746 : Epoch  2, Batch   1282, Loss  0.874448, Average Loss  0.872411, Time  0.174162
2021-09-10 22:14:22.287031 : Epoch  2, Batch   1283, Loss  0.868169, Average Loss  0.872491, Time  0.179126
2021-09-10 22:14:23.884596 : Epoch  2, Batch   1284, Loss  0.856549, Average Loss  0.872273, Time  0.173757
2021-09-10 22:14:25.457720 : Epoch  2, Batch   1285, Loss  0.889316, Average Loss  0.872536, Time  0.173230
2021-09-10 22:14:27.052030 : Epoch  2, Batch   1286, Loss  0.898478, Average Loss  0.872660, Time  0.169845
2021-09-10 22:14:28.663720 : Epoch  2, Batch   1287, Loss  0.881819, Average Loss  0.872761, Time  0.170811
2021-09-10 22:14:30.263767 : Epoch  2, Batch   1288, Loss  0.866040, Average Loss  0.872833, Time  0.169928
2021-09-10 22:14:37.321030 : Epoch  2, Batch   1289, Loss  0.886112, Average Loss  0.872780, Time  0.183483
2021-09-10 22:19:17.860719 : CheckPoint: Validation Loss  0.00060014, Best Loss  0.00057296
2021-09-10 22:19:19.490909 : Epoch  2, Batch   1290, Loss  0.864274, Average Loss  0.872843, Time  0.176680
2021-09-10 22:19:21.107742 : Epoch  2, Batch   1291, Loss  0.864187, Average Loss  0.872820, Time  0.170302
2021-09-10 22:19:22.728959 : Epoch  2, Batch   1292, Loss  0.868744, Average Loss  0.872643, Time  0.169541
2021-09-10 22:19:24.315773 : Epoch  2, Batch   1293, Loss  0.870914, Average Loss  0.872755, Time  0.171878
2021-09-10 22:19:25.915849 : Epoch  2, Batch   1294, Loss  0.853331, Average Loss  0.872646, Time  0.170427
2021-09-10 22:19:27.527007 : Epoch  2, Batch   1295, Loss  0.880868, Average Loss  0.872613, Time  0.181572
2021-09-10 22:19:29.134832 : Epoch  2, Batch   1296, Loss  0.887998, Average Loss  0.872635, Time  0.171889
2021-09-10 22:19:30.728079 : Epoch  2, Batch   1297, Loss  0.870518, Average Loss  0.872692, Time  0.169922
2021-09-10 22:19:32.316778 : Epoch  2, Batch   1298, Loss  0.857160, Average Loss  0.872523, Time  0.169494
2021-09-10 22:19:33.918032 : Epoch  2, Batch   1299, Loss  0.920802, Average Loss  0.872656, Time  0.169704
2021-09-10 22:19:35.513770 : Epoch  2, Batch   1300, Loss  0.875771, Average Loss  0.872596, Time  0.169873
2021-09-10 22:19:37.118918 : Epoch  2, Batch   1301, Loss  0.877802, Average Loss  0.872547, Time  0.173948
2021-09-10 22:19:38.727799 : Epoch  2, Batch   1302, Loss  0.845436, Average Loss  0.872551, Time  0.173617
2021-09-10 22:19:40.326943 : Epoch  2, Batch   1303, Loss  0.883504, Average Loss  0.872411, Time  0.170061
2021-09-10 22:19:41.932025 : Epoch  2, Batch   1304, Loss  0.864227, Average Loss  0.872336, Time  0.169912
2021-09-10 22:19:43.526027 : Epoch  2, Batch   1305, Loss  0.862608, Average Loss  0.872318, Time  0.172711
2021-09-10 22:19:45.094826 : Epoch  2, Batch   1306, Loss  0.850645, Average Loss  0.872371, Time  0.170565
2021-09-10 22:19:46.676866 : Epoch  2, Batch   1307, Loss  0.911225, Average Loss  0.872547, Time  0.170106
2021-09-10 22:19:48.281764 : Epoch  2, Batch   1308, Loss  0.880554, Average Loss  0.872776, Time  0.170217
2021-09-10 22:19:49.875031 : Epoch  2, Batch   1309, Loss  0.841395, Average Loss  0.872542, Time  0.172821
2021-09-10 22:19:51.472029 : Epoch  2, Batch   1310, Loss  0.878362, Average Loss  0.872558, Time  0.173406
2021-09-10 22:19:53.079780 : Epoch  2, Batch   1311, Loss  0.897340, Average Loss  0.872666, Time  0.169766
2021-09-10 22:19:54.670796 : Epoch  2, Batch   1312, Loss  0.858406, Average Loss  0.872725, Time  0.170608
2021-09-10 22:19:56.260829 : Epoch  2, Batch   1313, Loss  0.831902, Average Loss  0.872399, Time  0.172866
2021-09-10 22:19:57.847729 : Epoch  2, Batch   1314, Loss  0.901316, Average Loss  0.872484, Time  0.179809
2021-09-10 22:19:59.444826 : Epoch  2, Batch   1315, Loss  0.851664, Average Loss  0.872319, Time  0.172155
2021-09-10 22:20:01.030785 : Epoch  2, Batch   1316, Loss  0.870896, Average Loss  0.872393, Time  0.172821
2021-09-10 22:20:02.627293 : Epoch  2, Batch   1317, Loss  0.856752, Average Loss  0.872314, Time  0.178645
2021-09-10 22:20:04.230047 : Epoch  2, Batch   1318, Loss  0.855040, Average Loss  0.872417, Time  0.170741
2021-09-10 22:20:05.808726 : Epoch  2, Batch   1319, Loss  0.889332, Average Loss  0.872553, Time  0.170834
2021-09-10 22:20:07.393733 : Epoch  2, Batch   1320, Loss  0.857046, Average Loss  0.872312, Time  0.170043
2021-09-10 22:20:08.996012 : Epoch  2, Batch   1321, Loss  0.888787, Average Loss  0.872435, Time  0.172331
2021-09-10 22:20:10.573958 : Epoch  2, Batch   1322, Loss  0.903346, Average Loss  0.872776, Time  0.171043
2021-09-10 22:20:12.211809 : Epoch  2, Batch   1323, Loss  0.881063, Average Loss  0.872863, Time  0.172003
2021-09-10 22:20:13.798020 : Epoch  2, Batch   1324, Loss  0.855842, Average Loss  0.872832, Time  0.176662
2021-09-10 22:20:15.371082 : Epoch  2, Batch   1325, Loss  0.878589, Average Loss  0.872784, Time  0.170405
2021-09-10 22:20:16.962052 : Epoch  2, Batch   1326, Loss  0.875991, Average Loss  0.872859, Time  0.180372
2021-09-10 22:20:18.541064 : Epoch  2, Batch   1327, Loss  0.883374, Average Loss  0.872893, Time  0.172339
2021-09-10 22:20:20.115029 : Epoch  2, Batch   1328, Loss  0.864668, Average Loss  0.872944, Time  0.170362
2021-09-10 22:20:21.710033 : Epoch  2, Batch   1329, Loss  0.901726, Average Loss  0.873068, Time  0.176134
2021-09-10 22:20:23.278579 : Epoch  2, Batch   1330, Loss  0.858101, Average Loss  0.873172, Time  0.169657
2021-09-10 22:20:24.862826 : Epoch  2, Batch   1331, Loss  0.877359, Average Loss  0.873109, Time  0.170259
2021-09-10 22:20:26.437961 : Epoch  2, Batch   1332, Loss  0.877766, Average Loss  0.873101, Time  0.170322
2021-09-10 22:20:28.019028 : Epoch  2, Batch   1333, Loss  0.882786, Average Loss  0.873277, Time  0.177130
2021-09-10 22:20:29.624037 : Epoch  2, Batch   1334, Loss  0.861725, Average Loss  0.873232, Time  0.176341
2021-09-10 22:20:31.200760 : Epoch  2, Batch   1335, Loss  0.855467, Average Loss  0.873189, Time  0.170755
2021-09-10 22:20:32.792033 : Epoch  2, Batch   1336, Loss  0.826225, Average Loss  0.872992, Time  0.178151
2021-09-10 22:20:34.379956 : Epoch  2, Batch   1337, Loss  0.850190, Average Loss  0.872894, Time  0.171912
2021-09-10 22:20:35.964029 : Epoch  2, Batch   1338, Loss  0.888889, Average Loss  0.872903, Time  0.171708
2021-09-10 22:20:37.587073 : Epoch  2, Batch   1339, Loss  0.892079, Average Loss  0.873033, Time  0.177180
2021-09-10 22:20:39.194855 : Epoch  2, Batch   1340, Loss  0.879367, Average Loss  0.873065, Time  0.171816
2021-09-10 22:20:40.805863 : Epoch  2, Batch   1341, Loss  0.892329, Average Loss  0.873138, Time  0.173389
2021-09-10 22:20:42.387764 : Epoch  2, Batch   1342, Loss  0.897952, Average Loss  0.873277, Time  0.171292
2021-09-10 22:20:43.981032 : Epoch  2, Batch   1343, Loss  0.879449, Average Loss  0.873171, Time  0.171918
2021-09-10 22:20:45.566045 : Epoch  2, Batch   1344, Loss  0.833385, Average Loss  0.872909, Time  0.174219
2021-09-10 22:20:47.146774 : Epoch  2, Batch   1345, Loss  0.874580, Average Loss  0.872936, Time  0.176253
2021-09-10 22:20:48.742019 : Epoch  2, Batch   1346, Loss  0.862935, Average Loss  0.872810, Time  0.170382
2021-09-10 22:20:50.342768 : Epoch  2, Batch   1347, Loss  0.843652, Average Loss  0.872799, Time  0.172809
2021-09-10 22:20:51.937820 : Epoch  2, Batch   1348, Loss  0.854821, Average Loss  0.872610, Time  0.170341
2021-09-10 22:20:53.536027 : Epoch  2, Batch   1349, Loss  0.891360, Average Loss  0.872681, Time  0.170136
2021-09-10 22:20:55.123751 : Epoch  2, Batch   1350, Loss  0.893694, Average Loss  0.872799, Time  0.177462
2021-09-10 22:20:56.726790 : Epoch  2, Batch   1351, Loss  0.855167, Average Loss  0.872725, Time  0.172044
2021-09-10 22:20:58.310805 : Epoch  2, Batch   1352, Loss  0.875208, Average Loss  0.872747, Time  0.171133
2021-09-10 22:20:59.911835 : Epoch  2, Batch   1353, Loss  0.861065, Average Loss  0.872562, Time  0.172187
2021-09-10 22:21:01.520024 : Epoch  2, Batch   1354, Loss  0.869407, Average Loss  0.872508, Time  0.170969
2021-09-10 22:21:03.107778 : Epoch  2, Batch   1355, Loss  0.861412, Average Loss  0.872466, Time  0.170225
2021-09-10 22:21:04.687842 : Epoch  2, Batch   1356, Loss  0.869543, Average Loss  0.872473, Time  0.172554
2021-09-10 22:21:06.265749 : Epoch  2, Batch   1357, Loss  0.846184, Average Loss  0.872400, Time  0.173033
2021-09-10 22:21:07.849823 : Epoch  2, Batch   1358, Loss  0.843511, Average Loss  0.872159, Time  0.170417
2021-09-10 22:21:09.467863 : Epoch  2, Batch   1359, Loss  0.860394, Average Loss  0.872048, Time  0.170204
2021-09-10 22:21:11.063033 : Epoch  2, Batch   1360, Loss  0.890710, Average Loss  0.872109, Time  0.170512
2021-09-10 22:21:12.645906 : Epoch  2, Batch   1361, Loss  0.876175, Average Loss  0.872222, Time  0.172604
2021-09-10 22:21:14.222021 : Epoch  2, Batch   1362, Loss  0.853861, Average Loss  0.872058, Time  0.175089
2021-09-10 22:21:15.801887 : Epoch  2, Batch   1363, Loss  0.897153, Average Loss  0.872226, Time  0.169730
2021-09-10 22:21:17.396776 : Epoch  2, Batch   1364, Loss  0.865026, Average Loss  0.871960, Time  0.173379
2021-09-10 22:21:19.035886 : Epoch  2, Batch   1365, Loss  0.856240, Average Loss  0.871830, Time  0.169883
2021-09-10 22:21:20.625080 : Epoch  2, Batch   1366, Loss  0.860466, Average Loss  0.871685, Time  0.169843
2021-09-10 22:21:22.209792 : Epoch  2, Batch   1367, Loss  0.871826, Average Loss  0.871734, Time  0.178123
2021-09-10 22:21:23.791826 : Epoch  2, Batch   1368, Loss  0.858127, Average Loss  0.871598, Time  0.176697
2021-09-10 22:21:25.370841 : Epoch  2, Batch   1369, Loss  0.827473, Average Loss  0.871299, Time  0.172810
2021-09-10 22:21:26.950734 : Epoch  2, Batch   1370, Loss  0.895284, Average Loss  0.871572, Time  0.173474
2021-09-10 22:21:28.532838 : Epoch  2, Batch   1371, Loss  0.853497, Average Loss  0.871400, Time  0.171386
2021-09-10 22:21:30.126027 : Epoch  2, Batch   1372, Loss  0.877313, Average Loss  0.871345, Time  0.169572
2021-09-10 22:21:31.725029 : Epoch  2, Batch   1373, Loss  0.879243, Average Loss  0.871290, Time  0.173495
2021-09-10 22:21:33.317018 : Epoch  2, Batch   1374, Loss  0.887365, Average Loss  0.871310, Time  0.170228
2021-09-10 22:21:34.909029 : Epoch  2, Batch   1375, Loss  0.891793, Average Loss  0.871279, Time  0.175869
2021-09-10 22:21:36.504764 : Epoch  2, Batch   1376, Loss  0.856849, Average Loss  0.871310, Time  0.174044
2021-09-10 22:21:38.080912 : Epoch  2, Batch   1377, Loss  0.866834, Average Loss  0.871211, Time  0.173870
2021-09-10 22:21:39.676912 : Epoch  2, Batch   1378, Loss  0.871246, Average Loss  0.871185, Time  0.170560
2021-09-10 22:21:41.270041 : Epoch  2, Batch   1379, Loss  0.871253, Average Loss  0.871300, Time  0.172478
2021-09-10 22:21:42.845726 : Epoch  2, Batch   1380, Loss  0.852847, Average Loss  0.871129, Time  0.169673
2021-09-10 22:21:44.414062 : Epoch  2, Batch   1381, Loss  0.877201, Average Loss  0.871245, Time  0.173295
2021-09-10 22:21:45.998025 : Epoch  2, Batch   1382, Loss  0.889159, Average Loss  0.871448, Time  0.170774
2021-09-10 22:21:47.577020 : Epoch  2, Batch   1383, Loss  0.883031, Average Loss  0.871671, Time  0.172123
2021-09-10 22:21:49.156026 : Epoch  2, Batch   1384, Loss  0.856754, Average Loss  0.871591, Time  0.169859
2021-09-10 22:21:50.736197 : Epoch  2, Batch   1385, Loss  0.874509, Average Loss  0.871580, Time  0.169863
2021-09-10 22:21:52.343028 : Epoch  2, Batch   1386, Loss  0.867436, Average Loss  0.871487, Time  0.169835
2021-09-10 22:21:53.920018 : Epoch  2, Batch   1387, Loss  0.868425, Average Loss  0.871608, Time  0.171448
2021-09-10 22:21:55.513025 : Epoch  2, Batch   1388, Loss  0.870403, Average Loss  0.871622, Time  0.173589
2021-09-10 22:21:57.117786 : Epoch  2, Batch   1389, Loss  0.834410, Average Loss  0.871303, Time  0.170788
2021-09-10 22:26:37.418709 : CheckPoint: Validation Loss  0.00059337, Best Loss  0.00057296
2021-09-10 22:26:39.020885 : Epoch  2, Batch   1390, Loss  0.850613, Average Loss  0.871148, Time  0.177327
2021-09-10 22:26:40.609775 : Epoch  2, Batch   1391, Loss  0.841429, Average Loss  0.871044, Time  0.170552
2021-09-10 22:26:42.204435 : Epoch  2, Batch   1392, Loss  0.877707, Average Loss  0.871071, Time  0.169796
2021-09-10 22:26:43.797004 : Epoch  2, Batch   1393, Loss  0.872390, Average Loss  0.871088, Time  0.170068
2021-09-10 22:26:45.363860 : Epoch  2, Batch   1394, Loss  0.876773, Average Loss  0.871057, Time  0.170372
2021-09-10 22:26:46.956765 : Epoch  2, Batch   1395, Loss  0.894304, Average Loss  0.871184, Time  0.171091
2021-09-10 22:26:48.566018 : Epoch  2, Batch   1396, Loss  0.884409, Average Loss  0.871324, Time  0.170122
2021-09-10 22:26:50.156834 : Epoch  2, Batch   1397, Loss  0.907890, Average Loss  0.871581, Time  0.169717
2021-09-10 22:26:51.765748 : Epoch  2, Batch   1398, Loss  0.896405, Average Loss  0.871701, Time  0.192875
2021-09-10 22:26:53.349792 : Epoch  2, Batch   1399, Loss  0.876126, Average Loss  0.871713, Time  0.173500
2021-09-10 22:26:54.942964 : Epoch  2, Batch   1400, Loss  0.855110, Average Loss  0.871720, Time  0.173394
2021-09-10 22:26:56.515029 : Epoch  2, Batch   1401, Loss  0.894214, Average Loss  0.871715, Time  0.170575
2021-09-10 22:26:58.117772 : Epoch  2, Batch   1402, Loss  0.870948, Average Loss  0.871695, Time  0.170319
2021-09-10 22:26:59.745358 : Epoch  2, Batch   1403, Loss  0.870109, Average Loss  0.871602, Time  0.171297
2021-09-10 22:27:01.360774 : Epoch  2, Batch   1404, Loss  0.859973, Average Loss  0.871701, Time  0.187090
2021-09-10 22:27:02.974024 : Epoch  2, Batch   1405, Loss  0.884726, Average Loss  0.871684, Time  0.170048
2021-09-10 22:27:04.548773 : Epoch  2, Batch   1406, Loss  0.871839, Average Loss  0.871605, Time  0.169617
2021-09-10 22:27:06.129033 : Epoch  2, Batch   1407, Loss  0.843117, Average Loss  0.871641, Time  0.172466
2021-09-10 22:27:07.708763 : Epoch  2, Batch   1408, Loss  0.873377, Average Loss  0.871572, Time  0.173551
2021-09-10 22:27:09.307084 : Epoch  2, Batch   1409, Loss  0.854814, Average Loss  0.871489, Time  0.177140
2021-09-10 22:27:10.903853 : Epoch  2, Batch   1410, Loss  0.884560, Average Loss  0.871638, Time  0.172747
2021-09-10 22:27:12.499031 : Epoch  2, Batch   1411, Loss  0.897693, Average Loss  0.871648, Time  0.184370
2021-09-10 22:27:14.084887 : Epoch  2, Batch   1412, Loss  0.874541, Average Loss  0.871694, Time  0.179400
2021-09-10 22:27:15.672783 : Epoch  2, Batch   1413, Loss  0.870979, Average Loss  0.871639, Time  0.177137
2021-09-10 22:27:17.259217 : Epoch  2, Batch   1414, Loss  0.902321, Average Loss  0.871837, Time  0.170273
2021-09-10 22:27:18.858760 : Epoch  2, Batch   1415, Loss  0.884459, Average Loss  0.871930, Time  0.170112
2021-09-10 22:27:20.463992 : Epoch  2, Batch   1416, Loss  0.856195, Average Loss  0.871896, Time  0.169849
2021-09-10 22:27:22.068734 : Epoch  2, Batch   1417, Loss  0.869117, Average Loss  0.871926, Time  0.170073
2021-09-10 22:27:23.664815 : Epoch  2, Batch   1418, Loss  0.873942, Average Loss  0.871768, Time  0.170943
2021-09-10 22:27:25.285786 : Epoch  2, Batch   1419, Loss  0.878561, Average Loss  0.871723, Time  0.171019
2021-09-10 22:27:26.892026 : Epoch  2, Batch   1420, Loss  0.865574, Average Loss  0.871767, Time  0.170025
2021-09-10 22:27:28.485067 : Epoch  2, Batch   1421, Loss  0.890664, Average Loss  0.871924, Time  0.170452
2021-09-10 22:27:30.064016 : Epoch  2, Batch   1422, Loss  0.876163, Average Loss  0.871904, Time  0.170634
2021-09-10 22:27:31.647735 : Epoch  2, Batch   1423, Loss  0.875908, Average Loss  0.871933, Time  0.169895
2021-09-10 22:27:33.241986 : Epoch  2, Batch   1424, Loss  0.867678, Average Loss  0.871992, Time  0.169449
2021-09-10 22:27:34.864851 : Epoch  2, Batch   1425, Loss  0.874249, Average Loss  0.871741, Time  0.169526
2021-09-10 22:27:36.476766 : Epoch  2, Batch   1426, Loss  0.862463, Average Loss  0.871699, Time  0.169625
2021-09-10 22:27:38.112984 : Epoch  2, Batch   1427, Loss  0.894929, Average Loss  0.871745, Time  0.169699
2021-09-10 22:27:39.738823 : Epoch  2, Batch   1428, Loss  0.872633, Average Loss  0.871652, Time  0.169673
2021-09-10 22:27:41.359005 : Epoch  2, Batch   1429, Loss  0.861174, Average Loss  0.871661, Time  0.169327
2021-09-10 22:27:42.971876 : Epoch  2, Batch   1430, Loss  0.859414, Average Loss  0.871512, Time  0.169500
2021-09-10 22:27:44.578979 : Epoch  2, Batch   1431, Loss  0.880125, Average Loss  0.871701, Time  0.169890
2021-09-10 22:27:46.173977 : Epoch  2, Batch   1432, Loss  0.903264, Average Loss  0.871773, Time  0.169563
2021-09-10 22:27:47.768807 : Epoch  2, Batch   1433, Loss  0.844187, Average Loss  0.871483, Time  0.169508
2021-09-10 22:27:49.419977 : Epoch  2, Batch   1434, Loss  0.891107, Average Loss  0.871462, Time  0.169533
2021-09-10 22:27:51.026844 : Epoch  2, Batch   1435, Loss  0.876499, Average Loss  0.871479, Time  0.169405
2021-09-10 22:27:52.643769 : Epoch  2, Batch   1436, Loss  0.877462, Average Loss  0.871517, Time  0.169485
2021-09-10 22:27:54.251840 : Epoch  2, Batch   1437, Loss  0.844061, Average Loss  0.871452, Time  0.170089
2021-09-10 22:27:55.871993 : Epoch  2, Batch   1438, Loss  0.882654, Average Loss  0.871569, Time  0.169452
2021-09-10 22:27:57.483909 : Epoch  2, Batch   1439, Loss  0.861080, Average Loss  0.871591, Time  0.169891
2021-09-10 22:27:59.088048 : Epoch  2, Batch   1440, Loss  0.880425, Average Loss  0.871709, Time  0.177731
2021-09-10 22:28:00.671906 : Epoch  2, Batch   1441, Loss  0.888949, Average Loss  0.871679, Time  0.173565
2021-09-10 22:28:02.243737 : Epoch  2, Batch   1442, Loss  0.858289, Average Loss  0.871662, Time  0.170621
2021-09-10 22:28:03.828775 : Epoch  2, Batch   1443, Loss  0.879980, Average Loss  0.871770, Time  0.169770
2021-09-10 22:28:05.428023 : Epoch  2, Batch   1444, Loss  0.853927, Average Loss  0.871844, Time  0.172873
2021-09-10 22:28:07.045029 : Epoch  2, Batch   1445, Loss  0.873107, Average Loss  0.871891, Time  0.176279
2021-09-10 22:28:08.645882 : Epoch  2, Batch   1446, Loss  0.887258, Average Loss  0.871997, Time  0.174716
2021-09-10 22:28:10.293033 : Epoch  2, Batch   1447, Loss  0.836312, Average Loss  0.871916, Time  0.171086
2021-09-10 22:28:11.885954 : Epoch  2, Batch   1448, Loss  0.870891, Average Loss  0.871898, Time  0.170674
2021-09-10 22:28:13.482014 : Epoch  2, Batch   1449, Loss  0.859266, Average Loss  0.871796, Time  0.170069
2021-09-10 22:28:15.082943 : Epoch  2, Batch   1450, Loss  0.862723, Average Loss  0.871766, Time  0.170190
2021-09-10 22:28:16.695878 : Epoch  2, Batch   1451, Loss  0.875801, Average Loss  0.871817, Time  0.179575
2021-09-10 22:28:18.294015 : Epoch  2, Batch   1452, Loss  0.867823, Average Loss  0.871822, Time  0.169751
2021-09-10 22:28:19.879787 : Epoch  2, Batch   1453, Loss  0.852166, Average Loss  0.871712, Time  0.170655
2021-09-10 22:28:21.489033 : Epoch  2, Batch   1454, Loss  0.913818, Average Loss  0.872077, Time  0.172877
2021-09-10 22:28:23.095759 : Epoch  2, Batch   1455, Loss  0.888219, Average Loss  0.872160, Time  0.173365
2021-09-10 22:28:24.669762 : Epoch  2, Batch   1456, Loss  0.869519, Average Loss  0.872129, Time  0.176244
2021-09-10 22:28:26.264016 : Epoch  2, Batch   1457, Loss  0.860158, Average Loss  0.872100, Time  0.173196
2021-09-10 22:28:27.887751 : Epoch  2, Batch   1458, Loss  0.849084, Average Loss  0.872045, Time  0.176837
2021-09-10 22:28:29.478744 : Epoch  2, Batch   1459, Loss  0.859089, Average Loss  0.872003, Time  0.169913
2021-09-10 22:28:31.074766 : Epoch  2, Batch   1460, Loss  0.846511, Average Loss  0.871901, Time  0.169660
2021-09-10 22:28:32.664033 : Epoch  2, Batch   1461, Loss  0.883865, Average Loss  0.872121, Time  0.173023
2021-09-10 22:28:34.244739 : Epoch  2, Batch   1462, Loss  0.873465, Average Loss  0.872028, Time  0.175935
2021-09-10 22:28:35.827877 : Epoch  2, Batch   1463, Loss  0.874912, Average Loss  0.871929, Time  0.169962
2021-09-10 22:28:37.405784 : Epoch  2, Batch   1464, Loss  0.880638, Average Loss  0.871828, Time  0.174229
2021-09-10 22:28:39.027026 : Epoch  2, Batch   1465, Loss  0.851685, Average Loss  0.871693, Time  0.170017
2021-09-10 22:28:40.652937 : Epoch  2, Batch   1466, Loss  0.889651, Average Loss  0.871871, Time  0.173933
2021-09-10 22:28:42.237849 : Epoch  2, Batch   1467, Loss  0.863975, Average Loss  0.871862, Time  0.171960
2021-09-10 22:28:43.831801 : Epoch  2, Batch   1468, Loss  0.881821, Average Loss  0.871990, Time  0.171781
2021-09-10 22:28:45.442030 : Epoch  2, Batch   1469, Loss  0.869498, Average Loss  0.871847, Time  0.175552
2021-09-10 22:28:47.105817 : Epoch  2, Batch   1470, Loss  0.879104, Average Loss  0.871830, Time  0.180458
2021-09-10 22:28:48.701028 : Epoch  2, Batch   1471, Loss  0.851242, Average Loss  0.871694, Time  0.171641
2021-09-10 22:28:50.327039 : Epoch  2, Batch   1472, Loss  0.890065, Average Loss  0.871662, Time  0.174392
2021-09-10 22:28:51.919800 : Epoch  2, Batch   1473, Loss  0.890245, Average Loss  0.871830, Time  0.170052
2021-09-10 22:28:53.506072 : Epoch  2, Batch   1474, Loss  0.883930, Average Loss  0.871873, Time  0.170776
2021-09-10 22:28:55.118835 : Epoch  2, Batch   1475, Loss  0.872368, Average Loss  0.871803, Time  0.169856
2021-09-10 22:28:56.734766 : Epoch  2, Batch   1476, Loss  0.909597, Average Loss  0.871944, Time  0.170026
2021-09-10 22:28:58.343758 : Epoch  2, Batch   1477, Loss  0.892604, Average Loss  0.871854, Time  0.170549
2021-09-10 22:28:59.938173 : Epoch  2, Batch   1478, Loss  0.834153, Average Loss  0.871611, Time  0.172222
2021-09-10 22:29:01.527025 : Epoch  2, Batch   1479, Loss  0.844862, Average Loss  0.871640, Time  0.171638
2021-09-10 22:29:03.102760 : Epoch  2, Batch   1480, Loss  0.874379, Average Loss  0.871616, Time  0.170425
2021-09-10 22:29:04.715885 : Epoch  2, Batch   1481, Loss  0.859970, Average Loss  0.871638, Time  0.169924
2021-09-10 22:29:06.321865 : Epoch  2, Batch   1482, Loss  0.883483, Average Loss  0.871683, Time  0.170768
2021-09-10 22:29:07.904837 : Epoch  2, Batch   1483, Loss  0.878999, Average Loss  0.871737, Time  0.173108
2021-09-10 22:29:09.483074 : Epoch  2, Batch   1484, Loss  0.835752, Average Loss  0.871633, Time  0.171803
2021-09-10 22:29:11.073755 : Epoch  2, Batch   1485, Loss  0.870378, Average Loss  0.871538, Time  0.175992
2021-09-10 22:29:12.659043 : Epoch  2, Batch   1486, Loss  0.874530, Average Loss  0.871419, Time  0.174505
2021-09-10 22:29:14.237985 : Epoch  2, Batch   1487, Loss  0.869487, Average Loss  0.871357, Time  0.178767
2021-09-10 22:29:15.840032 : Epoch  2, Batch   1488, Loss  0.867930, Average Loss  0.871366, Time  0.170943
2021-09-10 22:29:17.435061 : Epoch  2, Batch   1489, Loss  0.845476, Average Loss  0.871163, Time  0.173541
2021-09-10 22:33:57.955715 : CheckPoint: Validation Loss  0.00061433, Best Loss  0.00057296
2021-09-10 22:33:59.570973 : Epoch  2, Batch   1490, Loss  0.909676, Average Loss  0.871390, Time  0.181919
2021-09-10 22:34:01.157739 : Epoch  2, Batch   1491, Loss  0.875164, Average Loss  0.871445, Time  0.172845
2021-09-10 22:34:02.763998 : Epoch  2, Batch   1492, Loss  0.846478, Average Loss  0.871334, Time  0.174220
2021-09-10 22:34:04.369022 : Epoch  2, Batch   1493, Loss  0.847578, Average Loss  0.871217, Time  0.170805
2021-09-10 22:34:05.956009 : Epoch  2, Batch   1494, Loss  0.846172, Average Loss  0.871181, Time  0.172791
2021-09-10 22:34:07.541023 : Epoch  2, Batch   1495, Loss  0.867147, Average Loss  0.871113, Time  0.172882
2021-09-10 22:34:09.131840 : Epoch  2, Batch   1496, Loss  0.881803, Average Loss  0.871082, Time  0.173723
2021-09-10 22:34:10.719016 : Epoch  2, Batch   1497, Loss  0.869729, Average Loss  0.871078, Time  0.170323
2021-09-10 22:34:12.345019 : Epoch  2, Batch   1498, Loss  0.883482, Average Loss  0.871209, Time  0.182610
2021-09-10 22:34:13.915936 : Epoch  2, Batch   1499, Loss  0.891119, Average Loss  0.871061, Time  0.171254
2021-09-10 22:34:15.500893 : Epoch  2, Batch   1500, Loss  0.876384, Average Loss  0.871064, Time  0.173090
2021-09-10 22:34:17.067449 : Epoch  2, Batch   1501, Loss  0.889769, Average Loss  0.871124, Time  0.169759
2021-09-10 22:34:18.627030 : Epoch  2, Batch   1502, Loss  0.848823, Average Loss  0.871141, Time  0.169784
2021-09-10 22:34:20.214024 : Epoch  2, Batch   1503, Loss  0.853002, Average Loss  0.870988, Time  0.176351
2021-09-10 22:34:21.803863 : Epoch  2, Batch   1504, Loss  0.882157, Average Loss  0.871078, Time  0.174240
2021-09-10 22:34:23.386769 : Epoch  2, Batch   1505, Loss  0.858178, Average Loss  0.871056, Time  0.169770
2021-09-10 22:34:24.958024 : Epoch  2, Batch   1506, Loss  0.893903, Average Loss  0.871272, Time  0.170776
2021-09-10 22:34:26.556733 : Epoch  2, Batch   1507, Loss  0.838601, Average Loss  0.870909, Time  0.176341
2021-09-10 22:34:28.143905 : Epoch  2, Batch   1508, Loss  0.830468, Average Loss  0.870658, Time  0.176184
2021-09-10 22:34:29.747043 : Epoch  2, Batch   1509, Loss  0.865840, Average Loss  0.870781, Time  0.171888
2021-09-10 22:34:31.323894 : Epoch  2, Batch   1510, Loss  0.850300, Average Loss  0.870640, Time  0.171428
2021-09-10 22:34:32.954978 : Epoch  2, Batch   1511, Loss  0.889054, Average Loss  0.870599, Time  0.175521
2021-09-10 22:34:34.527790 : Epoch  2, Batch   1512, Loss  0.894521, Average Loss  0.870780, Time  0.169849
2021-09-10 22:34:36.120038 : Epoch  2, Batch   1513, Loss  0.871154, Average Loss  0.870976, Time  0.170369
2021-09-10 22:34:37.688018 : Epoch  2, Batch   1514, Loss  0.851796, Average Loss  0.870728, Time  0.170112
2021-09-10 22:34:39.284022 : Epoch  2, Batch   1515, Loss  0.865621, Average Loss  0.870798, Time  0.179883
2021-09-10 22:34:40.856837 : Epoch  2, Batch   1516, Loss  0.883296, Average Loss  0.870860, Time  0.169943
2021-09-10 22:34:42.448080 : Epoch  2, Batch   1517, Loss  0.855337, Average Loss  0.870853, Time  0.172019
2021-09-10 22:34:44.061806 : Epoch  2, Batch   1518, Loss  0.887032, Average Loss  0.871013, Time  0.170063
2021-09-10 22:34:45.682015 : Epoch  2, Batch   1519, Loss  0.882061, Average Loss  0.870976, Time  0.170837
2021-09-10 22:34:47.297821 : Epoch  2, Batch   1520, Loss  0.882209, Average Loss  0.871102, Time  0.170332
2021-09-10 22:34:48.873021 : Epoch  2, Batch   1521, Loss  0.854882, Average Loss  0.870933, Time  0.173460
2021-09-10 22:34:50.453032 : Epoch  2, Batch   1522, Loss  0.885132, Average Loss  0.870842, Time  0.169994
2021-09-10 22:34:52.046700 : Epoch  2, Batch   1523, Loss  0.859920, Average Loss  0.870736, Time  0.174004
2021-09-10 22:34:53.623748 : Epoch  2, Batch   1524, Loss  0.879874, Average Loss  0.870856, Time  0.171152
2021-09-10 22:34:55.197041 : Epoch  2, Batch   1525, Loss  0.888258, Average Loss  0.870905, Time  0.170313
2021-09-10 22:34:56.784030 : Epoch  2, Batch   1526, Loss  0.859786, Average Loss  0.870823, Time  0.175851
2021-09-10 22:34:58.379887 : Epoch  2, Batch   1527, Loss  0.864677, Average Loss  0.870730, Time  0.169934
2021-09-10 22:34:59.970882 : Epoch  2, Batch   1528, Loss  0.905632, Average Loss  0.870935, Time  0.170915
2021-09-10 22:35:01.545547 : Epoch  2, Batch   1529, Loss  0.872144, Average Loss  0.870787, Time  0.170527
2021-09-10 22:35:03.123835 : Epoch  2, Batch   1530, Loss  0.869681, Average Loss  0.870845, Time  0.171926
2021-09-10 22:35:04.723861 : Epoch  2, Batch   1531, Loss  0.868158, Average Loss  0.870799, Time  0.173941
2021-09-10 22:35:06.324944 : Epoch  2, Batch   1532, Loss  0.843664, Average Loss  0.870628, Time  0.174936
2021-09-10 22:35:07.913032 : Epoch  2, Batch   1533, Loss  0.877437, Average Loss  0.870602, Time  0.180254
2021-09-10 22:35:09.491070 : Epoch  2, Batch   1534, Loss  0.893366, Average Loss  0.870760, Time  0.177810
2021-09-10 22:35:11.090559 : Epoch  2, Batch   1535, Loss  0.864840, Average Loss  0.870807, Time  0.173323
2021-09-10 22:35:12.670763 : Epoch  2, Batch   1536, Loss  0.869671, Average Loss  0.871024, Time  0.170786
2021-09-10 22:35:14.263018 : Epoch  2, Batch   1537, Loss  0.873607, Average Loss  0.871141, Time  0.170626
2021-09-10 22:35:15.848027 : Epoch  2, Batch   1538, Loss  0.908140, Average Loss  0.871237, Time  0.169741
2021-09-10 22:35:17.440747 : Epoch  2, Batch   1539, Loss  0.849912, Average Loss  0.871026, Time  0.169764
2021-09-10 22:35:19.044783 : Epoch  2, Batch   1540, Loss  0.853398, Average Loss  0.870897, Time  0.181690
2021-09-10 22:35:20.626740 : Epoch  2, Batch   1541, Loss  0.851879, Average Loss  0.870694, Time  0.170280
2021-09-10 22:35:22.211741 : Epoch  2, Batch   1542, Loss  0.881208, Average Loss  0.870611, Time  0.169955
2021-09-10 22:35:23.820030 : Epoch  2, Batch   1543, Loss  0.856313, Average Loss  0.870495, Time  0.179604
2021-09-10 22:35:25.414779 : Epoch  2, Batch   1544, Loss  0.852110, Average Loss  0.870588, Time  0.180267
2021-09-10 22:35:27.005036 : Epoch  2, Batch   1545, Loss  0.885036, Average Loss  0.870641, Time  0.170527
2021-09-10 22:35:28.609801 : Epoch  2, Batch   1546, Loss  0.865368, Average Loss  0.870653, Time  0.172487
2021-09-10 22:35:30.223779 : Epoch  2, Batch   1547, Loss  0.846235, Average Loss  0.870666, Time  0.178128
2021-09-10 22:35:31.830822 : Epoch  2, Batch   1548, Loss  0.880168, Average Loss  0.870793, Time  0.169788
2021-09-10 22:35:33.433850 : Epoch  2, Batch   1549, Loss  0.870342, Average Loss  0.870687, Time  0.178595
2021-09-10 22:35:35.045738 : Epoch  2, Batch   1550, Loss  0.874816, Average Loss  0.870593, Time  0.173422
2021-09-10 22:35:36.630025 : Epoch  2, Batch   1551, Loss  0.872793, Average Loss  0.870681, Time  0.169785
2021-09-10 22:35:38.242034 : Epoch  2, Batch   1552, Loss  0.907960, Average Loss  0.870845, Time  0.170989
2021-09-10 22:35:39.832839 : Epoch  2, Batch   1553, Loss  0.865592, Average Loss  0.870868, Time  0.170017
2021-09-10 22:35:41.410816 : Epoch  2, Batch   1554, Loss  0.898517, Average Loss  0.871013, Time  0.170528
2021-09-10 22:35:43.020806 : Epoch  2, Batch   1555, Loss  0.881809, Average Loss  0.871115, Time  0.179448
2021-09-10 22:35:44.620759 : Epoch  2, Batch   1556, Loss  0.889530, Average Loss  0.871215, Time  0.172766
2021-09-10 22:35:46.210030 : Epoch  2, Batch   1557, Loss  0.886422, Average Loss  0.871416, Time  0.170353
2021-09-10 22:35:47.816848 : Epoch  2, Batch   1558, Loss  0.874113, Average Loss  0.871569, Time  0.177000
2021-09-10 22:35:49.410745 : Epoch  2, Batch   1559, Loss  0.902122, Average Loss  0.871778, Time  0.177841
2021-09-10 22:35:51.007770 : Epoch  2, Batch   1560, Loss  0.865552, Average Loss  0.871652, Time  0.171446
2021-09-10 22:35:52.614770 : Epoch  2, Batch   1561, Loss  0.862309, Average Loss  0.871583, Time  0.173841
2021-09-10 22:35:54.232820 : Epoch  2, Batch   1562, Loss  0.854949, Average Loss  0.871588, Time  0.170666
2021-09-10 22:35:55.820363 : Epoch  2, Batch   1563, Loss  0.907120, Average Loss  0.871638, Time  0.170096
2021-09-10 22:35:57.397843 : Epoch  2, Batch   1564, Loss  0.882785, Average Loss  0.871727, Time  0.169855
2021-09-10 22:35:59.033861 : Epoch  2, Batch   1565, Loss  0.874787, Average Loss  0.871820, Time  0.171015
2021-09-10 22:36:00.613786 : Epoch  2, Batch   1566, Loss  0.857678, Average Loss  0.871806, Time  0.176424
2021-09-10 22:36:02.209026 : Epoch  2, Batch   1567, Loss  0.830086, Average Loss  0.871597, Time  0.170265
2021-09-10 22:36:03.784827 : Epoch  2, Batch   1568, Loss  0.896725, Average Loss  0.871790, Time  0.170904
2021-09-10 22:36:05.348755 : Epoch  2, Batch   1569, Loss  0.864756, Average Loss  0.871976, Time  0.171982
2021-09-10 22:36:06.935762 : Epoch  2, Batch   1570, Loss  0.873929, Average Loss  0.871870, Time  0.173498
2021-09-10 22:36:08.556765 : Epoch  2, Batch   1571, Loss  0.884286, Average Loss  0.872024, Time  0.172210
2021-09-10 22:36:10.166924 : Epoch  2, Batch   1572, Loss  0.867752, Average Loss  0.871976, Time  0.177469
2021-09-10 22:36:11.767521 : Epoch  2, Batch   1573, Loss  0.877022, Average Loss  0.871965, Time  0.169866
2021-09-10 22:36:13.318033 : Epoch  2, Batch   1574, Loss  0.875823, Average Loss  0.871907, Time  0.169935
2021-09-10 22:36:14.893746 : Epoch  2, Batch   1575, Loss  0.867695, Average Loss  0.871786, Time  0.170817
2021-09-10 22:36:16.459752 : Epoch  2, Batch   1576, Loss  0.861672, Average Loss  0.871811, Time  0.176726
2021-09-10 22:36:18.052032 : Epoch  2, Batch   1577, Loss  0.857925, Average Loss  0.871766, Time  0.176719
2021-09-10 22:36:19.655758 : Epoch  2, Batch   1578, Loss  0.848678, Average Loss  0.871653, Time  0.169650
2021-09-10 22:36:21.228782 : Epoch  2, Batch   1579, Loss  0.877331, Average Loss  0.871684, Time  0.175044
2021-09-10 22:36:22.803026 : Epoch  2, Batch   1580, Loss  0.881555, Average Loss  0.871827, Time  0.173666
2021-09-10 22:36:24.361800 : Epoch  2, Batch   1581, Loss  0.874586, Average Loss  0.871814, Time  0.170043
2021-09-10 22:36:25.915032 : Epoch  2, Batch   1582, Loss  0.882477, Average Loss  0.871781, Time  0.170025
2021-09-10 22:36:27.511801 : Epoch  2, Batch   1583, Loss  0.865775, Average Loss  0.871694, Time  0.173216
2021-09-10 22:36:29.095992 : Epoch  2, Batch   1584, Loss  0.865711, Average Loss  0.871739, Time  0.170020
2021-09-10 22:36:30.660021 : Epoch  2, Batch   1585, Loss  0.873490, Average Loss  0.871734, Time  0.172053
2021-09-10 22:36:32.243030 : Epoch  2, Batch   1586, Loss  0.871136, Average Loss  0.871753, Time  0.169728
2021-09-10 22:36:33.852021 : Epoch  2, Batch   1587, Loss  0.866326, Average Loss  0.871742, Time  0.174871
2021-09-10 22:36:35.424803 : Epoch  2, Batch   1588, Loss  0.900686, Average Loss  0.871893, Time  0.169491
2021-09-10 22:36:37.000023 : Epoch  2, Batch   1589, Loss  0.891767, Average Loss  0.872180, Time  0.172961
2021-09-10 22:41:16.883727 : CheckPoint: Validation Loss  0.00061126, Best Loss  0.00057296
2021-09-10 22:41:18.508924 : Epoch  2, Batch   1590, Loss  0.851671, Average Loss  0.872186, Time  0.178663
2021-09-10 22:41:20.126975 : Epoch  2, Batch   1591, Loss  0.863025, Average Loss  0.872294, Time  0.170095
2021-09-10 22:41:21.722854 : Epoch  2, Batch   1592, Loss  0.865432, Average Loss  0.872232, Time  0.169778
2021-09-10 22:41:23.347968 : Epoch  2, Batch   1593, Loss  0.860623, Average Loss  0.872173, Time  0.173945
2021-09-10 22:41:24.961016 : Epoch  2, Batch   1594, Loss  0.863509, Average Loss  0.872107, Time  0.189115
2021-09-10 22:41:26.543999 : Epoch  2, Batch   1595, Loss  0.871639, Average Loss  0.871994, Time  0.169951
2021-09-10 22:41:28.161240 : Epoch  2, Batch   1596, Loss  0.860899, Average Loss  0.871876, Time  0.170345
2021-09-10 22:41:29.764026 : Epoch  2, Batch   1597, Loss  0.864263, Average Loss  0.871658, Time  0.170129
2021-09-10 22:41:31.389791 : Epoch  2, Batch   1598, Loss  0.889109, Average Loss  0.871621, Time  0.170058
2021-09-10 22:41:33.010024 : Epoch  2, Batch   1599, Loss  0.861319, Average Loss  0.871547, Time  0.170287
2021-09-10 22:41:34.631820 : Epoch  2, Batch   1600, Loss  0.853024, Average Loss  0.871537, Time  0.169895
2021-09-10 22:41:36.231017 : Epoch  2, Batch   1601, Loss  0.880818, Average Loss  0.871470, Time  0.170089
2021-09-10 22:41:37.849758 : Epoch  2, Batch   1602, Loss  0.856641, Average Loss  0.871399, Time  0.170329
2021-09-10 22:41:39.448925 : Epoch  2, Batch   1603, Loss  0.875212, Average Loss  0.871424, Time  0.170058
2021-09-10 22:41:41.053059 : Epoch  2, Batch   1604, Loss  0.889681, Average Loss  0.871573, Time  0.170031
2021-09-10 22:41:42.631414 : Epoch  2, Batch   1605, Loss  0.869933, Average Loss  0.871499, Time  0.170683
2021-09-10 22:41:44.237491 : Epoch  2, Batch   1606, Loss  0.896823, Average Loss  0.871624, Time  0.170415
2021-09-10 22:41:45.816800 : Epoch  2, Batch   1607, Loss  0.890873, Average Loss  0.871862, Time  0.176596
2021-09-10 22:41:47.501045 : Epoch  2, Batch   1608, Loss  0.884495, Average Loss  0.871918, Time  0.176970
2021-09-10 22:41:49.092045 : Epoch  2, Batch   1609, Loss  0.888999, Average Loss  0.872089, Time  0.170330
2021-09-10 22:41:50.824902 : Epoch  2, Batch   1610, Loss  0.881247, Average Loss  0.872072, Time  0.185980
2021-09-10 22:41:52.438985 : Epoch  2, Batch   1611, Loss  0.844274, Average Loss  0.871805, Time  0.170140
2021-09-10 22:41:54.027924 : Epoch  2, Batch   1612, Loss  0.862097, Average Loss  0.871743, Time  0.172153
2021-09-10 22:41:55.602019 : Epoch  2, Batch   1613, Loss  0.872984, Average Loss  0.871753, Time  0.173949
2021-09-10 22:41:57.181027 : Epoch  2, Batch   1614, Loss  0.879489, Average Loss  0.871639, Time  0.171923
2021-09-10 22:41:58.762760 : Epoch  2, Batch   1615, Loss  0.879699, Average Loss  0.871615, Time  0.176419
2021-09-10 22:42:00.372032 : Epoch  2, Batch   1616, Loss  0.847339, Average Loss  0.871571, Time  0.172315
2021-09-10 22:42:01.967961 : Epoch  2, Batch   1617, Loss  0.870379, Average Loss  0.871577, Time  0.171808
2021-09-10 22:42:03.559735 : Epoch  2, Batch   1618, Loss  0.865312, Average Loss  0.871534, Time  0.170192
2021-09-10 22:42:05.158018 : Epoch  2, Batch   1619, Loss  0.885575, Average Loss  0.871569, Time  0.176641
2021-09-10 22:42:06.800025 : Epoch  2, Batch   1620, Loss  0.886767, Average Loss  0.871675, Time  0.178498
2021-09-10 22:42:08.525862 : Epoch  2, Batch   1621, Loss  0.879884, Average Loss  0.871621, Time  0.173675
2021-09-10 22:42:10.150760 : Epoch  2, Batch   1622, Loss  0.844059, Average Loss  0.871460, Time  0.173134
2021-09-10 22:42:11.755339 : Epoch  2, Batch   1623, Loss  0.858107, Average Loss  0.871371, Time  0.170684
2021-09-10 22:42:13.327754 : Epoch  2, Batch   1624, Loss  0.876594, Average Loss  0.871416, Time  0.170825
2021-09-10 22:42:14.903834 : Epoch  2, Batch   1625, Loss  0.883059, Average Loss  0.871460, Time  0.169910
2021-09-10 22:42:16.501852 : Epoch  2, Batch   1626, Loss  0.860023, Average Loss  0.871448, Time  0.172560
2021-09-10 22:42:18.139020 : Epoch  2, Batch   1627, Loss  0.876433, Average Loss  0.871355, Time  0.170779
2021-09-10 22:42:19.818015 : Epoch  2, Batch   1628, Loss  0.845794, Average Loss  0.871221, Time  0.181376
2021-09-10 22:42:21.454831 : Epoch  2, Batch   1629, Loss  0.870860, Average Loss  0.871270, Time  0.171580
2021-09-10 22:42:23.197046 : Epoch  2, Batch   1630, Loss  0.883890, Average Loss  0.871392, Time  0.180586
2021-09-10 22:42:24.843074 : Epoch  2, Batch   1631, Loss  0.844724, Average Loss  0.871215, Time  0.170364
2021-09-10 22:42:26.469026 : Epoch  2, Batch   1632, Loss  0.853346, Average Loss  0.870965, Time  0.173123
2021-09-10 22:42:28.168739 : Epoch  2, Batch   1633, Loss  0.867396, Average Loss  0.871082, Time  0.172296
2021-09-10 22:42:29.781802 : Epoch  2, Batch   1634, Loss  0.861295, Average Loss  0.870932, Time  0.178583
2021-09-10 22:42:31.386332 : Epoch  2, Batch   1635, Loss  0.891711, Average Loss  0.871009, Time  0.172322
2021-09-10 22:42:32.999479 : Epoch  2, Batch   1636, Loss  0.879942, Average Loss  0.871021, Time  0.176165
2021-09-10 22:42:34.615063 : Epoch  2, Batch   1637, Loss  0.872398, Average Loss  0.871163, Time  0.175228
2021-09-10 22:42:36.224749 : Epoch  2, Batch   1638, Loss  0.869713, Average Loss  0.871098, Time  0.171268
2021-09-10 22:42:37.832117 : Epoch  2, Batch   1639, Loss  0.884621, Average Loss  0.871216, Time  0.174929
2021-09-10 22:42:39.410919 : Epoch  2, Batch   1640, Loss  0.878210, Average Loss  0.871205, Time  0.170128
2021-09-10 22:42:41.004764 : Epoch  2, Batch   1641, Loss  0.881031, Average Loss  0.871165, Time  0.176302
2021-09-10 22:42:42.584259 : Epoch  2, Batch   1642, Loss  0.873305, Average Loss  0.871240, Time  0.171572
2021-09-10 22:42:44.158821 : Epoch  2, Batch   1643, Loss  0.883716, Average Loss  0.871259, Time  0.176377
2021-09-10 22:42:45.726770 : Epoch  2, Batch   1644, Loss  0.853303, Average Loss  0.871256, Time  0.172438
2021-09-10 22:42:47.312767 : Epoch  2, Batch   1645, Loss  0.901459, Average Loss  0.871397, Time  0.169827
2021-09-10 22:42:48.924748 : Epoch  2, Batch   1646, Loss  0.866953, Average Loss  0.871296, Time  0.169548
2021-09-10 22:42:50.513800 : Epoch  2, Batch   1647, Loss  0.881239, Average Loss  0.871520, Time  0.182781
2021-09-10 22:42:52.095748 : Epoch  2, Batch   1648, Loss  0.868011, Average Loss  0.871506, Time  0.181642
2021-09-10 22:42:53.672768 : Epoch  2, Batch   1649, Loss  0.848239, Average Loss  0.871451, Time  0.170047
2021-09-10 22:42:55.244155 : Epoch  2, Batch   1650, Loss  0.890484, Average Loss  0.871590, Time  0.170054
2021-09-10 22:42:56.821853 : Epoch  2, Batch   1651, Loss  0.891581, Average Loss  0.871669, Time  0.172761
2021-09-10 22:42:58.426051 : Epoch  2, Batch   1652, Loss  0.875986, Average Loss  0.871709, Time  0.174728
2021-09-10 22:43:00.167723 : Epoch  2, Batch   1653, Loss  0.846802, Average Loss  0.871683, Time  0.183435
2021-09-10 22:43:01.806828 : Epoch  2, Batch   1654, Loss  0.872102, Average Loss  0.871474, Time  0.173832
2021-09-10 22:43:03.430085 : Epoch  2, Batch   1655, Loss  0.868647, Average Loss  0.871376, Time  0.174552
2021-09-10 22:43:05.025013 : Epoch  2, Batch   1656, Loss  0.866151, Average Loss  0.871359, Time  0.186024
2021-09-10 22:43:06.614026 : Epoch  2, Batch   1657, Loss  0.904822, Average Loss  0.871583, Time  0.178993
2021-09-10 22:43:08.243032 : Epoch  2, Batch   1658, Loss  0.896297, Average Loss  0.871819, Time  0.170111
2021-09-10 22:43:09.853790 : Epoch  2, Batch   1659, Loss  0.870823, Average Loss  0.871877, Time  0.170420
2021-09-10 22:43:11.471020 : Epoch  2, Batch   1660, Loss  0.871684, Average Loss  0.872003, Time  0.170292
2021-09-10 22:43:13.095290 : Epoch  2, Batch   1661, Loss  0.877396, Average Loss  0.871971, Time  0.170255
2021-09-10 22:43:14.684791 : Epoch  2, Batch   1662, Loss  0.861799, Average Loss  0.871913, Time  0.169849
2021-09-10 22:43:16.285810 : Epoch  2, Batch   1663, Loss  0.852467, Average Loss  0.871800, Time  0.169854
2021-09-10 22:43:17.895751 : Epoch  2, Batch   1664, Loss  0.894548, Average Loss  0.871870, Time  0.169768
2021-09-10 22:43:19.507816 : Epoch  2, Batch   1665, Loss  0.870829, Average Loss  0.871966, Time  0.169737
2021-09-10 22:43:21.144982 : Epoch  2, Batch   1666, Loss  0.827258, Average Loss  0.871654, Time  0.169889
2021-09-10 22:43:22.733859 : Epoch  2, Batch   1667, Loss  0.869260, Average Loss  0.871680, Time  0.169581
2021-09-10 22:43:24.352850 : Epoch  2, Batch   1668, Loss  0.878138, Average Loss  0.871662, Time  0.169598
2021-09-10 22:43:25.965809 : Epoch  2, Batch   1669, Loss  0.879355, Average Loss  0.871711, Time  0.169804
2021-09-10 22:43:27.585005 : Epoch  2, Batch   1670, Loss  0.863628, Average Loss  0.871634, Time  0.169597
2021-09-10 22:43:29.197753 : Epoch  2, Batch   1671, Loss  0.892663, Average Loss  0.871841, Time  0.170000
2021-09-10 22:43:30.814993 : Epoch  2, Batch   1672, Loss  0.865680, Average Loss  0.871719, Time  0.169705
2021-09-10 22:43:32.400788 : Epoch  2, Batch   1673, Loss  0.855369, Average Loss  0.871544, Time  0.169972
2021-09-10 22:43:34.055778 : Epoch  2, Batch   1674, Loss  0.846503, Average Loss  0.871357, Time  0.184295
2021-09-10 22:43:35.669845 : Epoch  2, Batch   1675, Loss  0.862405, Average Loss  0.871307, Time  0.169819
2021-09-10 22:43:37.269021 : Epoch  2, Batch   1676, Loss  0.864666, Average Loss  0.871083, Time  0.169661
2021-09-10 22:43:38.910039 : Epoch  2, Batch   1677, Loss  0.894109, Average Loss  0.871090, Time  0.172247
2021-09-10 22:43:40.519024 : Epoch  2, Batch   1678, Loss  0.886856, Average Loss  0.871354, Time  0.172717
2021-09-10 22:43:42.142802 : Epoch  2, Batch   1679, Loss  0.884049, Average Loss  0.871550, Time  0.171535
2021-09-10 22:43:43.770826 : Epoch  2, Batch   1680, Loss  0.858066, Average Loss  0.871468, Time  0.179158
2021-09-10 22:43:45.364090 : Epoch  2, Batch   1681, Loss  0.870713, Average Loss  0.871522, Time  0.170405
2021-09-10 22:43:46.953762 : Epoch  2, Batch   1682, Loss  0.857288, Average Loss  0.871391, Time  0.169726
2021-09-10 22:43:48.571982 : Epoch  2, Batch   1683, Loss  0.890775, Average Loss  0.871450, Time  0.169555
2021-09-10 22:43:50.185799 : Epoch  2, Batch   1684, Loss  0.892002, Average Loss  0.871731, Time  0.169458
2021-09-10 22:43:51.798998 : Epoch  2, Batch   1685, Loss  0.883070, Average Loss  0.871794, Time  0.170390
2021-09-10 22:43:53.434744 : Epoch  2, Batch   1686, Loss  0.875124, Average Loss  0.871797, Time  0.172224
2021-09-10 22:43:55.100735 : Epoch  2, Batch   1687, Loss  0.854036, Average Loss  0.871720, Time  0.174522
2021-09-10 22:43:56.755908 : Epoch  2, Batch   1688, Loss  0.898172, Average Loss  0.871871, Time  0.170505
2021-09-10 22:43:58.381824 : Epoch  2, Batch   1689, Loss  0.875308, Average Loss  0.872021, Time  0.185174
2021-09-10 22:48:39.512727 : CheckPoint: Validation Loss  0.00063662, Best Loss  0.00057296
2021-09-10 22:48:41.139824 : Epoch  2, Batch   1690, Loss  0.867529, Average Loss  0.871810, Time  0.180595
2021-09-10 22:48:42.760060 : Epoch  2, Batch   1691, Loss  0.855517, Average Loss  0.871712, Time  0.177198
2021-09-10 22:48:44.385884 : Epoch  2, Batch   1692, Loss  0.889192, Average Loss  0.871925, Time  0.170043
2021-09-10 22:48:45.997006 : Epoch  2, Batch   1693, Loss  0.881132, Average Loss  0.872093, Time  0.170294
2021-09-10 22:48:47.596769 : Epoch  2, Batch   1694, Loss  0.856215, Average Loss  0.872143, Time  0.172645
2021-09-10 22:48:49.166840 : Epoch  2, Batch   1695, Loss  0.842148, Average Loss  0.872018, Time  0.175315
2021-09-10 22:48:50.738729 : Epoch  2, Batch   1696, Loss  0.856882, Average Loss  0.871894, Time  0.171651
2021-09-10 22:48:52.360745 : Epoch  2, Batch   1697, Loss  0.840839, Average Loss  0.871749, Time  0.170404
2021-09-10 22:48:53.972078 : Epoch  2, Batch   1698, Loss  0.839191, Average Loss  0.871528, Time  0.178092
2021-09-10 22:48:55.574033 : Epoch  2, Batch   1699, Loss  0.871114, Average Loss  0.871428, Time  0.175271
2021-09-10 22:48:57.166761 : Epoch  2, Batch   1700, Loss  0.887843, Average Loss  0.871485, Time  0.172997
2021-09-10 22:48:58.755055 : Epoch  2, Batch   1701, Loss  0.873198, Average Loss  0.871402, Time  0.172965
2021-09-10 22:49:00.328958 : Epoch  2, Batch   1702, Loss  0.859387, Average Loss  0.871455, Time  0.170093
2021-09-10 22:49:01.910045 : Epoch  2, Batch   1703, Loss  0.892640, Average Loss  0.871653, Time  0.169942
2021-09-10 22:49:03.557862 : Epoch  2, Batch   1704, Loss  0.876889, Average Loss  0.871627, Time  0.173521
2021-09-10 22:49:05.146033 : Epoch  2, Batch   1705, Loss  0.871222, Average Loss  0.871692, Time  0.172079
2021-09-10 22:49:06.746859 : Epoch  2, Batch   1706, Loss  0.838076, Average Loss  0.871413, Time  0.169974
2021-09-10 22:49:08.363739 : Epoch  2, Batch   1707, Loss  0.843580, Average Loss  0.871438, Time  0.172349
2021-09-10 22:49:09.968087 : Epoch  2, Batch   1708, Loss  0.863191, Average Loss  0.871601, Time  0.180315
2021-09-10 22:49:11.571038 : Epoch  2, Batch   1709, Loss  0.870461, Average Loss  0.871624, Time  0.172998
2021-09-10 22:49:13.182051 : Epoch  2, Batch   1710, Loss  0.870466, Average Loss  0.871725, Time  0.180818
2021-09-10 22:49:14.788758 : Epoch  2, Batch   1711, Loss  0.896180, Average Loss  0.871761, Time  0.169826
2021-09-10 22:49:16.389030 : Epoch  2, Batch   1712, Loss  0.850361, Average Loss  0.871540, Time  0.177992
2021-09-10 22:49:17.974841 : Epoch  2, Batch   1713, Loss  0.821198, Average Loss  0.871290, Time  0.169926
2021-09-10 22:49:19.581032 : Epoch  2, Batch   1714, Loss  0.872508, Average Loss  0.871394, Time  0.174231
2021-09-10 22:49:21.180036 : Epoch  2, Batch   1715, Loss  0.871056, Average Loss  0.871421, Time  0.170548
2021-09-10 22:49:22.775024 : Epoch  2, Batch   1716, Loss  0.880329, Average Loss  0.871406, Time  0.169824
2021-09-10 22:49:24.365033 : Epoch  2, Batch   1717, Loss  0.849101, Average Loss  0.871375, Time  0.170912
2021-09-10 22:49:25.958698 : Epoch  2, Batch   1718, Loss  0.849589, Average Loss  0.871188, Time  0.172880
2021-09-10 22:49:27.554018 : Epoch  2, Batch   1719, Loss  0.842276, Average Loss  0.870989, Time  0.178538
2021-09-10 22:49:29.147850 : Epoch  2, Batch   1720, Loss  0.868118, Average Loss  0.870918, Time  0.170047
2021-09-10 22:49:30.751822 : Epoch  2, Batch   1721, Loss  0.873607, Average Loss  0.871012, Time  0.169791
2021-09-10 22:49:32.354935 : Epoch  2, Batch   1722, Loss  0.848749, Average Loss  0.870830, Time  0.169782
2021-09-10 22:49:33.942038 : Epoch  2, Batch   1723, Loss  0.858003, Average Loss  0.870821, Time  0.174008
2021-09-10 22:49:35.534031 : Epoch  2, Batch   1724, Loss  0.875083, Average Loss  0.870797, Time  0.169765
2021-09-10 22:49:37.111658 : Epoch  2, Batch   1725, Loss  0.890160, Average Loss  0.870806, Time  0.170019
2021-09-10 22:49:38.719026 : Epoch  2, Batch   1726, Loss  0.870078, Average Loss  0.870858, Time  0.175787
2021-09-10 22:49:40.382921 : Epoch  2, Batch   1727, Loss  0.842190, Average Loss  0.870745, Time  0.169884
2021-09-10 22:49:41.992925 : Epoch  2, Batch   1728, Loss  0.897597, Average Loss  0.870705, Time  0.172969
2021-09-10 22:49:43.615951 : Epoch  2, Batch   1729, Loss  0.883277, Average Loss  0.870761, Time  0.170075
2021-09-10 22:49:45.220035 : Epoch  2, Batch   1730, Loss  0.835570, Average Loss  0.870590, Time  0.172838
2021-09-10 22:49:46.827030 : Epoch  2, Batch   1731, Loss  0.876761, Average Loss  0.870633, Time  0.170837
2021-09-10 22:49:48.431028 : Epoch  2, Batch   1732, Loss  0.897300, Average Loss  0.870901, Time  0.173582
2021-09-10 22:49:50.047905 : Epoch  2, Batch   1733, Loss  0.872732, Average Loss  0.870878, Time  0.181346
2021-09-10 22:49:51.677030 : Epoch  2, Batch   1734, Loss  0.856026, Average Loss  0.870691, Time  0.178043
2021-09-10 22:49:53.313032 : Epoch  2, Batch   1735, Loss  0.848266, Average Loss  0.870608, Time  0.188066
2021-09-10 22:49:54.902823 : Epoch  2, Batch   1736, Loss  0.857980, Average Loss  0.870550, Time  0.171019
2021-09-10 22:49:56.485816 : Epoch  2, Batch   1737, Loss  0.887373, Average Loss  0.870619, Time  0.171280
2021-09-10 22:49:58.093016 : Epoch  2, Batch   1738, Loss  0.865265, Average Loss  0.870404, Time  0.170398
2021-09-10 22:49:59.702032 : Epoch  2, Batch   1739, Loss  0.883629, Average Loss  0.870573, Time  0.176682
2021-09-10 22:50:01.297029 : Epoch  2, Batch   1740, Loss  0.873110, Average Loss  0.870671, Time  0.169660
2021-09-10 22:50:02.910028 : Epoch  2, Batch   1741, Loss  0.881843, Average Loss  0.870821, Time  0.172381
2021-09-10 22:50:04.527749 : Epoch  2, Batch   1742, Loss  0.880404, Average Loss  0.870817, Time  0.170398
2021-09-10 22:50:06.149791 : Epoch  2, Batch   1743, Loss  0.906317, Average Loss  0.871067, Time  0.171720
2021-09-10 22:50:07.763818 : Epoch  2, Batch   1744, Loss  0.892622, Average Loss  0.871270, Time  0.169928
2021-09-10 22:50:09.395744 : Epoch  2, Batch   1745, Loss  0.851782, Average Loss  0.871103, Time  0.181979
2021-09-10 22:50:10.997787 : Epoch  2, Batch   1746, Loss  0.870078, Average Loss  0.871127, Time  0.170758
2021-09-10 22:50:12.623870 : Epoch  2, Batch   1747, Loss  0.885090, Average Loss  0.871321, Time  0.178405
2021-09-10 22:50:14.243050 : Epoch  2, Batch   1748, Loss  0.879724, Average Loss  0.871319, Time  0.170006
2021-09-10 22:50:15.849761 : Epoch  2, Batch   1749, Loss  0.894644, Average Loss  0.871441, Time  0.178833
2021-09-10 22:50:17.446830 : Epoch  2, Batch   1750, Loss  0.894301, Average Loss  0.871538, Time  0.176387
2021-09-10 22:50:19.056756 : Epoch  2, Batch   1751, Loss  0.874732, Average Loss  0.871548, Time  0.175457
2021-09-10 22:50:20.666025 : Epoch  2, Batch   1752, Loss  0.889850, Average Loss  0.871457, Time  0.170589
2021-09-10 22:50:22.272739 : Epoch  2, Batch   1753, Loss  0.875136, Average Loss  0.871505, Time  0.181695
2021-09-10 22:50:23.865925 : Epoch  2, Batch   1754, Loss  0.870455, Average Loss  0.871365, Time  0.171933
2021-09-10 22:50:25.455781 : Epoch  2, Batch   1755, Loss  0.834059, Average Loss  0.871126, Time  0.171437
2021-09-10 22:50:27.048055 : Epoch  2, Batch   1756, Loss  0.840593, Average Loss  0.870881, Time  0.171372
2021-09-10 22:50:28.641757 : Epoch  2, Batch   1757, Loss  0.881003, Average Loss  0.870854, Time  0.173207
2021-09-10 22:50:30.243778 : Epoch  2, Batch   1758, Loss  0.885503, Average Loss  0.870911, Time  0.171932
2021-09-10 22:50:31.840027 : Epoch  2, Batch   1759, Loss  0.864454, Average Loss  0.870723, Time  0.171563
2021-09-10 22:50:33.431049 : Epoch  2, Batch   1760, Loss  0.866311, Average Loss  0.870726, Time  0.176284
2021-09-10 22:50:35.025802 : Epoch  2, Batch   1761, Loss  0.869585, Average Loss  0.870763, Time  0.173054
2021-09-10 22:50:36.656023 : Epoch  2, Batch   1762, Loss  0.895955, Average Loss  0.870968, Time  0.175805
2021-09-10 22:50:38.275891 : Epoch  2, Batch   1763, Loss  0.870787, Average Loss  0.870786, Time  0.173276
2021-09-10 22:50:39.895765 : Epoch  2, Batch   1764, Loss  0.861656, Average Loss  0.870681, Time  0.172861
2021-09-10 22:50:41.538802 : Epoch  2, Batch   1765, Loss  0.843453, Average Loss  0.870524, Time  0.169739
2021-09-10 22:50:43.142107 : Epoch  2, Batch   1766, Loss  0.890014, Average Loss  0.870686, Time  0.172319
2021-09-10 22:50:44.747747 : Epoch  2, Batch   1767, Loss  0.827631, Average Loss  0.870673, Time  0.172311
2021-09-10 22:50:46.340918 : Epoch  2, Batch   1768, Loss  0.862128, Average Loss  0.870500, Time  0.171424
2021-09-10 22:50:47.920776 : Epoch  2, Batch   1769, Loss  0.895776, Average Loss  0.870655, Time  0.172370
2021-09-10 22:50:49.513025 : Epoch  2, Batch   1770, Loss  0.864576, Average Loss  0.870609, Time  0.170241
2021-09-10 22:50:51.103862 : Epoch  2, Batch   1771, Loss  0.883348, Average Loss  0.870604, Time  0.172072
2021-09-10 22:50:52.731770 : Epoch  2, Batch   1772, Loss  0.873871, Average Loss  0.870634, Time  0.179323
2021-09-10 22:50:54.360017 : Epoch  2, Batch   1773, Loss  0.867068, Average Loss  0.870585, Time  0.169882
2021-09-10 22:50:55.967755 : Epoch  2, Batch   1774, Loss  0.855991, Average Loss  0.870486, Time  0.171203
2021-09-10 22:50:57.585037 : Epoch  2, Batch   1775, Loss  0.875673, Average Loss  0.870525, Time  0.170611
2021-09-10 22:50:59.212787 : Epoch  2, Batch   1776, Loss  0.852293, Average Loss  0.870479, Time  0.169972
2021-09-10 22:51:00.821045 : Epoch  2, Batch   1777, Loss  0.888863, Average Loss  0.870633, Time  0.169871
2021-09-10 22:51:02.413021 : Epoch  2, Batch   1778, Loss  0.901940, Average Loss  0.870900, Time  0.170102
2021-09-10 22:51:04.001033 : Epoch  2, Batch   1779, Loss  0.892770, Average Loss  0.870977, Time  0.169897
2021-09-10 22:51:05.607032 : Epoch  2, Batch   1780, Loss  0.849976, Average Loss  0.870819, Time  0.173683
2021-09-10 22:51:07.223033 : Epoch  2, Batch   1781, Loss  0.864744, Average Loss  0.870770, Time  0.173213
2021-09-10 22:51:08.819035 : Epoch  2, Batch   1782, Loss  0.879697, Average Loss  0.870756, Time  0.169924
2021-09-10 22:51:10.424037 : Epoch  2, Batch   1783, Loss  0.851234, Average Loss  0.870683, Time  0.169982
2021-09-10 22:51:12.014676 : Epoch  2, Batch   1784, Loss  0.898328, Average Loss  0.870846, Time  0.172514
2021-09-10 22:51:13.625987 : Epoch  2, Batch   1785, Loss  0.848809, Average Loss  0.870723, Time  0.173502
2021-09-10 22:51:15.208764 : Epoch  2, Batch   1786, Loss  0.865048, Average Loss  0.870692, Time  0.175113
2021-09-10 22:51:16.819028 : Epoch  2, Batch   1787, Loss  0.868700, Average Loss  0.870704, Time  0.169894
2021-09-10 22:51:18.406878 : Epoch  2, Batch   1788, Loss  0.859277, Average Loss  0.870497, Time  0.170263
2021-09-10 22:51:19.993047 : Epoch  2, Batch   1789, Loss  0.872177, Average Loss  0.870399, Time  0.169809
2021-09-10 22:56:00.496726 : CheckPoint: Validation Loss  0.00059272, Best Loss  0.00057296
2021-09-10 22:56:02.121834 : Epoch  2, Batch   1790, Loss  0.866653, Average Loss  0.870474, Time  0.183250
2021-09-10 22:56:03.744793 : Epoch  2, Batch   1791, Loss  0.878359, Average Loss  0.870551, Time  0.173214
2021-09-10 22:56:05.367744 : Epoch  2, Batch   1792, Loss  0.852937, Average Loss  0.870488, Time  0.171872
2021-09-10 22:56:06.965024 : Epoch  2, Batch   1793, Loss  0.873064, Average Loss  0.870550, Time  0.170432
2021-09-10 22:56:08.573808 : Epoch  2, Batch   1794, Loss  0.889686, Average Loss  0.870681, Time  0.169950
2021-09-10 22:56:10.178971 : Epoch  2, Batch   1795, Loss  0.860716, Average Loss  0.870627, Time  0.174803
2021-09-10 22:56:11.802812 : Epoch  2, Batch   1796, Loss  0.876594, Average Loss  0.870705, Time  0.171613
2021-09-10 22:56:13.460047 : Epoch  2, Batch   1797, Loss  0.889253, Average Loss  0.870830, Time  0.172256
2021-09-10 22:56:15.057741 : Epoch  2, Batch   1798, Loss  0.901899, Average Loss  0.870894, Time  0.170417
2021-09-10 22:56:16.652029 : Epoch  2, Batch   1799, Loss  0.862042, Average Loss  0.870898, Time  0.170207
2021-09-10 22:56:18.268032 : Epoch  2, Batch   1800, Loss  0.871553, Average Loss  0.870990, Time  0.174357
2021-09-10 22:56:19.858122 : Epoch  2, Batch   1801, Loss  0.877721, Average Loss  0.870975, Time  0.175577
2021-09-10 22:56:21.476021 : Epoch  2, Batch   1802, Loss  0.876166, Average Loss  0.871073, Time  0.169731
2021-09-10 22:56:23.080031 : Epoch  2, Batch   1803, Loss  0.880603, Average Loss  0.871099, Time  0.171546
2021-09-10 22:56:24.694736 : Epoch  2, Batch   1804, Loss  0.868626, Average Loss  0.870994, Time  0.170078
2021-09-10 22:56:26.310038 : Epoch  2, Batch   1805, Loss  0.885233, Average Loss  0.871071, Time  0.169945
2021-09-10 22:56:27.927030 : Epoch  2, Batch   1806, Loss  0.897119, Average Loss  0.871072, Time  0.179631
2021-09-10 22:56:29.522788 : Epoch  2, Batch   1807, Loss  0.859708, Average Loss  0.870916, Time  0.177658
2021-09-10 22:56:31.126025 : Epoch  2, Batch   1808, Loss  0.884592, Average Loss  0.870917, Time  0.173850
2021-09-10 22:56:32.728756 : Epoch  2, Batch   1809, Loss  0.880232, Average Loss  0.870873, Time  0.174598
2021-09-10 22:56:34.325014 : Epoch  2, Batch   1810, Loss  0.848046, Average Loss  0.870707, Time  0.170795
2021-09-10 22:56:35.947781 : Epoch  2, Batch   1811, Loss  0.849232, Average Loss  0.870732, Time  0.170081
2021-09-10 22:56:37.564785 : Epoch  2, Batch   1812, Loss  0.878688, Average Loss  0.870815, Time  0.173115
2021-09-10 22:56:39.191019 : Epoch  2, Batch   1813, Loss  0.904895, Average Loss  0.870974, Time  0.172093
2021-09-10 22:56:40.769014 : Epoch  2, Batch   1814, Loss  0.900594, Average Loss  0.871080, Time  0.172985
2021-09-10 22:56:42.378844 : Epoch  2, Batch   1815, Loss  0.894354, Average Loss  0.871153, Time  0.170952
2021-09-10 22:56:43.948044 : Epoch  2, Batch   1816, Loss  0.895018, Average Loss  0.871391, Time  0.169805
2021-09-10 22:56:45.562050 : Epoch  2, Batch   1817, Loss  0.851388, Average Loss  0.871297, Time  0.169654
2021-09-10 22:56:47.162420 : Epoch  2, Batch   1818, Loss  0.872098, Average Loss  0.871330, Time  0.172772
2021-09-10 22:56:48.779842 : Epoch  2, Batch   1819, Loss  0.863719, Average Loss  0.871221, Time  0.176054
2021-09-10 22:56:50.390806 : Epoch  2, Batch   1820, Loss  0.888699, Average Loss  0.871231, Time  0.170811
2021-09-10 22:56:51.978800 : Epoch  2, Batch   1821, Loss  0.894121, Average Loss  0.871302, Time  0.174945
2021-09-10 22:56:53.554768 : Epoch  2, Batch   1822, Loss  0.876679, Average Loss  0.871465, Time  0.170035
2021-09-10 22:56:55.189018 : Epoch  2, Batch   1823, Loss  0.888059, Average Loss  0.871615, Time  0.176087
2021-09-10 22:56:56.801014 : Epoch  2, Batch   1824, Loss  0.908449, Average Loss  0.871774, Time  0.172945
2021-09-10 22:56:58.402042 : Epoch  2, Batch   1825, Loss  0.865705, Average Loss  0.871687, Time  0.170642
2021-09-10 22:57:00.018050 : Epoch  2, Batch   1826, Loss  0.863161, Average Loss  0.871703, Time  0.178917
2021-09-10 22:57:01.685040 : Epoch  2, Batch   1827, Loss  0.882299, Average Loss  0.871732, Time  0.176620
2021-09-10 22:57:03.289038 : Epoch  2, Batch   1828, Loss  0.883877, Average Loss  0.871923, Time  0.175960
2021-09-10 22:57:04.911806 : Epoch  2, Batch   1829, Loss  0.891623, Average Loss  0.872027, Time  0.170533
2021-09-10 22:57:06.532022 : Epoch  2, Batch   1830, Loss  0.879654, Average Loss  0.872005, Time  0.169981
2021-09-10 22:57:08.157837 : Epoch  2, Batch   1831, Loss  0.856887, Average Loss  0.872066, Time  0.169839
2021-09-10 22:57:09.782010 : Epoch  2, Batch   1832, Loss  0.898471, Average Loss  0.872292, Time  0.175587
2021-09-10 22:57:11.408871 : Epoch  2, Batch   1833, Loss  0.857307, Average Loss  0.872241, Time  0.170778
2021-09-10 22:57:13.032025 : Epoch  2, Batch   1834, Loss  0.872762, Average Loss  0.872299, Time  0.186932
2021-09-10 22:57:14.617475 : Epoch  2, Batch   1835, Loss  0.871413, Average Loss  0.872197, Time  0.170053
2021-09-10 22:57:16.184083 : Epoch  2, Batch   1836, Loss  0.860481, Average Loss  0.872100, Time  0.171865
2021-09-10 22:57:17.813769 : Epoch  2, Batch   1837, Loss  0.888121, Average Loss  0.872179, Time  0.172472
2021-09-10 22:57:19.427827 : Epoch  2, Batch   1838, Loss  0.874721, Average Loss  0.872204, Time  0.170157
2021-09-10 22:57:21.070876 : Epoch  2, Batch   1839, Loss  0.891220, Average Loss  0.872237, Time  0.169874
2021-09-10 22:57:22.695995 : Epoch  2, Batch   1840, Loss  0.874606, Average Loss  0.872219, Time  0.169536
2021-09-10 22:57:24.316999 : Epoch  2, Batch   1841, Loss  0.851625, Average Loss  0.872072, Time  0.169550
2021-09-10 22:57:25.950844 : Epoch  2, Batch   1842, Loss  0.877022, Average Loss  0.872090, Time  0.169814
2021-09-10 22:57:27.579920 : Epoch  2, Batch   1843, Loss  0.859711, Average Loss  0.871970, Time  0.169777
2021-09-10 22:57:29.193006 : Epoch  2, Batch   1844, Loss  0.861048, Average Loss  0.872009, Time  0.169865
2021-09-10 22:57:30.809995 : Epoch  2, Batch   1845, Loss  0.868464, Average Loss  0.871844, Time  0.169941
2021-09-10 22:57:32.433820 : Epoch  2, Batch   1846, Loss  0.881349, Average Loss  0.871916, Time  0.169642
2021-09-10 22:57:34.057856 : Epoch  2, Batch   1847, Loss  0.872464, Average Loss  0.871872, Time  0.169794
2021-09-10 22:57:35.685834 : Epoch  2, Batch   1848, Loss  0.848779, Average Loss  0.871776, Time  0.172071
2021-09-10 22:57:37.310760 : Epoch  2, Batch   1849, Loss  0.831659, Average Loss  0.871693, Time  0.169691
2021-09-10 22:57:38.926834 : Epoch  2, Batch   1850, Loss  0.898859, Average Loss  0.871735, Time  0.169872
2021-09-10 22:57:40.542781 : Epoch  2, Batch   1851, Loss  0.870389, Average Loss  0.871629, Time  0.169382
2021-09-10 22:57:42.159839 : Epoch  2, Batch   1852, Loss  0.856845, Average Loss  0.871533, Time  0.169943
2021-09-10 22:57:43.776807 : Epoch  2, Batch   1853, Loss  0.884491, Average Loss  0.871722, Time  0.169807
2021-09-10 22:57:45.384044 : Epoch  2, Batch   1854, Loss  0.862351, Average Loss  0.871673, Time  0.170183
2021-09-10 22:57:46.986042 : Epoch  2, Batch   1855, Loss  0.846245, Average Loss  0.871561, Time  0.171007
2021-09-10 22:57:48.593740 : Epoch  2, Batch   1856, Loss  0.836036, Average Loss  0.871410, Time  0.170079
2021-09-10 22:57:50.180029 : Epoch  2, Batch   1857, Loss  0.921099, Average Loss  0.871492, Time  0.170473
2021-09-10 22:57:51.776034 : Epoch  2, Batch   1858, Loss  0.850399, Average Loss  0.871262, Time  0.170311
2021-09-10 22:57:53.393005 : Epoch  2, Batch   1859, Loss  0.884022, Average Loss  0.871328, Time  0.169598
2021-09-10 22:57:55.017002 : Epoch  2, Batch   1860, Loss  0.849531, Average Loss  0.871217, Time  0.169756
2021-09-10 22:57:56.638003 : Epoch  2, Batch   1861, Loss  0.879098, Average Loss  0.871226, Time  0.169959
2021-09-10 22:57:58.257979 : Epoch  2, Batch   1862, Loss  0.840388, Average Loss  0.871119, Time  0.169946
2021-09-10 22:57:59.891003 : Epoch  2, Batch   1863, Loss  0.881516, Average Loss  0.871264, Time  0.169986
2021-09-10 22:58:01.517909 : Epoch  2, Batch   1864, Loss  0.841438, Average Loss  0.870999, Time  0.170193
2021-09-10 22:58:03.177987 : Epoch  2, Batch   1865, Loss  0.859909, Average Loss  0.870944, Time  0.169509
2021-09-10 22:58:04.754985 : Epoch  2, Batch   1866, Loss  0.874096, Average Loss  0.871178, Time  0.169794
2021-09-10 22:58:06.373995 : Epoch  2, Batch   1867, Loss  0.853702, Average Loss  0.871100, Time  0.170985
2021-09-10 22:58:08.009806 : Epoch  2, Batch   1868, Loss  0.851741, Average Loss  0.870968, Time  0.170130
2021-09-10 22:58:09.634998 : Epoch  2, Batch   1869, Loss  0.897225, Average Loss  0.871058, Time  0.169553
2021-09-10 22:58:11.258008 : Epoch  2, Batch   1870, Loss  0.872073, Average Loss  0.871100, Time  0.169787
2021-09-10 22:58:12.882997 : Epoch  2, Batch   1871, Loss  0.849636, Average Loss  0.870885, Time  0.169669
2021-09-10 22:58:14.500997 : Epoch  2, Batch   1872, Loss  0.853262, Average Loss  0.870823, Time  0.169765
2021-09-10 22:58:16.125000 : Epoch  2, Batch   1873, Loss  0.843619, Average Loss  0.870764, Time  0.169810
2021-09-10 22:58:17.740846 : Epoch  2, Batch   1874, Loss  0.878670, Average Loss  0.870925, Time  0.169496
2021-09-10 22:58:19.350834 : Epoch  2, Batch   1875, Loss  0.873022, Average Loss  0.870978, Time  0.172956
2021-09-10 22:58:20.959040 : Epoch  2, Batch   1876, Loss  0.870376, Average Loss  0.871006, Time  0.169721
2021-09-10 22:58:22.590012 : Epoch  2, Batch   1877, Loss  0.870268, Average Loss  0.870887, Time  0.182724
2021-09-10 22:58:24.194028 : Epoch  2, Batch   1878, Loss  0.872518, Average Loss  0.870816, Time  0.169949
2021-09-10 22:58:25.790033 : Epoch  2, Batch   1879, Loss  0.877951, Average Loss  0.870785, Time  0.175583
2021-09-10 22:58:27.401028 : Epoch  2, Batch   1880, Loss  0.876821, Average Loss  0.870879, Time  0.170824
2021-09-10 22:58:29.021830 : Epoch  2, Batch   1881, Loss  0.884440, Average Loss  0.870947, Time  0.170104
2021-09-10 22:58:30.662881 : Epoch  2, Batch   1882, Loss  0.866765, Average Loss  0.870995, Time  0.190827
2021-09-10 22:58:32.287887 : Epoch  2, Batch   1883, Loss  0.836452, Average Loss  0.870723, Time  0.181803
2021-09-10 22:58:33.902007 : Epoch  2, Batch   1884, Loss  0.855807, Average Loss  0.870542, Time  0.182919
2021-09-10 22:58:35.530807 : Epoch  2, Batch   1885, Loss  0.861814, Average Loss  0.870436, Time  0.169592
2021-09-10 22:58:37.151003 : Epoch  2, Batch   1886, Loss  0.868879, Average Loss  0.870405, Time  0.169505
2021-09-10 22:58:38.789995 : Epoch  2, Batch   1887, Loss  0.850543, Average Loss  0.870387, Time  0.169659
2021-09-10 22:58:40.421788 : Epoch  2, Batch   1888, Loss  0.837497, Average Loss  0.870084, Time  0.169487
2021-09-10 22:58:42.052886 : Epoch  2, Batch   1889, Loss  0.833101, Average Loss  0.869873, Time  0.169829
2021-09-10 23:03:22.641731 : CheckPoint: Validation Loss  0.00062725, Best Loss  0.00057296
2021-09-10 23:03:24.265918 : Epoch  2, Batch   1890, Loss  0.866389, Average Loss  0.869867, Time  0.180572
2021-09-10 23:03:25.862774 : Epoch  2, Batch   1891, Loss  0.856734, Average Loss  0.869873, Time  0.170012
2021-09-10 23:03:27.493747 : Epoch  2, Batch   1892, Loss  0.878991, Average Loss  0.869822, Time  0.170076
2021-09-10 23:03:29.121979 : Epoch  2, Batch   1893, Loss  0.844157, Average Loss  0.869637, Time  0.169700
2021-09-10 23:03:30.748901 : Epoch  2, Batch   1894, Loss  0.862835, Average Loss  0.869670, Time  0.169628
2021-09-10 23:03:32.365799 : Epoch  2, Batch   1895, Loss  0.857244, Average Loss  0.869746, Time  0.169734
2021-09-10 23:03:33.984989 : Epoch  2, Batch   1896, Loss  0.860877, Average Loss  0.869766, Time  0.169675
2021-09-10 23:03:35.622877 : Epoch  2, Batch   1897, Loss  0.871375, Average Loss  0.869919, Time  0.169895
2021-09-10 23:03:37.250996 : Epoch  2, Batch   1898, Loss  0.886157, Average Loss  0.870153, Time  0.169790
2021-09-10 23:03:38.856994 : Epoch  2, Batch   1899, Loss  0.895060, Average Loss  0.870273, Time  0.169574
2021-09-10 23:03:40.476830 : Epoch  2, Batch   1900, Loss  0.870405, Average Loss  0.870186, Time  0.169728
2021-09-10 23:03:42.102872 : Epoch  2, Batch   1901, Loss  0.890792, Average Loss  0.870274, Time  0.169718
2021-09-10 23:03:43.718828 : Epoch  2, Batch   1902, Loss  0.850100, Average Loss  0.870228, Time  0.169671
2021-09-10 23:03:45.326750 : Epoch  2, Batch   1903, Loss  0.892652, Average Loss  0.870228, Time  0.169888
2021-09-10 23:03:46.940980 : Epoch  2, Batch   1904, Loss  0.850681, Average Loss  0.870097, Time  0.169773
2021-09-10 23:03:48.559780 : Epoch  2, Batch   1905, Loss  0.865554, Average Loss  0.870068, Time  0.169689
2021-09-10 23:03:50.197139 : Epoch  2, Batch   1906, Loss  0.874900, Average Loss  0.870252, Time  0.177359
2021-09-10 23:03:51.843995 : Epoch  2, Batch   1907, Loss  0.865373, Average Loss  0.870361, Time  0.169678
2021-09-10 23:03:53.450994 : Epoch  2, Batch   1908, Loss  0.863283, Average Loss  0.870362, Time  0.172047
2021-09-10 23:03:55.074921 : Epoch  2, Batch   1909, Loss  0.872311, Average Loss  0.870371, Time  0.169682
2021-09-10 23:03:56.706851 : Epoch  2, Batch   1910, Loss  0.864706, Average Loss  0.870342, Time  0.172172
2021-09-10 23:03:58.331837 : Epoch  2, Batch   1911, Loss  0.831051, Average Loss  0.870017, Time  0.169854
2021-09-10 23:03:59.935014 : Epoch  2, Batch   1912, Loss  0.883231, Average Loss  0.870181, Time  0.173744
2021-09-10 23:04:01.531023 : Epoch  2, Batch   1913, Loss  0.872569, Average Loss  0.870438, Time  0.169628
2021-09-10 23:04:03.164783 : Epoch  2, Batch   1914, Loss  0.868844, Average Loss  0.870419, Time  0.182543
2021-09-10 23:04:04.790033 : Epoch  2, Batch   1915, Loss  0.868865, Average Loss  0.870408, Time  0.174363
2021-09-10 23:04:06.405875 : Epoch  2, Batch   1916, Loss  0.876832, Average Loss  0.870391, Time  0.179678
2021-09-10 23:04:08.003001 : Epoch  2, Batch   1917, Loss  0.884122, Average Loss  0.870566, Time  0.169719
2021-09-10 23:04:09.633776 : Epoch  2, Batch   1918, Loss  0.871975, Average Loss  0.870678, Time  0.172004
2021-09-10 23:04:11.275818 : Epoch  2, Batch   1919, Loss  0.860215, Average Loss  0.870768, Time  0.172909
2021-09-10 23:04:12.919851 : Epoch  2, Batch   1920, Loss  0.843355, Average Loss  0.870644, Time  0.169698
2021-09-10 23:04:14.547817 : Epoch  2, Batch   1921, Loss  0.886967, Average Loss  0.870711, Time  0.169640
2021-09-10 23:04:16.174998 : Epoch  2, Batch   1922, Loss  0.852715, Average Loss  0.870731, Time  0.169469
2021-09-10 23:04:17.809842 : Epoch  2, Batch   1923, Loss  0.900759, Average Loss  0.870944, Time  0.169515
2021-09-10 23:04:19.407919 : Epoch  2, Batch   1924, Loss  0.898672, Average Loss  0.871062, Time  0.169604
2021-09-10 23:04:21.041001 : Epoch  2, Batch   1925, Loss  0.896654, Average Loss  0.871095, Time  0.169964
2021-09-10 23:04:22.699874 : Epoch  2, Batch   1926, Loss  0.847624, Average Loss  0.870982, Time  0.169510
2021-09-10 23:04:24.307843 : Epoch  2, Batch   1927, Loss  0.875679, Average Loss  0.871150, Time  0.169754
2021-09-10 23:04:25.933038 : Epoch  2, Batch   1928, Loss  0.893024, Average Loss  0.871127, Time  0.170097
2021-09-10 23:04:27.527009 : Epoch  2, Batch   1929, Loss  0.868041, Average Loss  0.871051, Time  0.169593
2021-09-10 23:04:29.162790 : Epoch  2, Batch   1930, Loss  0.873325, Average Loss  0.871240, Time  0.169922
2021-09-10 23:04:30.944771 : Epoch  2, Batch   1931, Loss  0.892061, Average Loss  0.871316, Time  0.169970
2021-09-10 23:04:32.558746 : Epoch  2, Batch   1932, Loss  0.904056, Average Loss  0.871350, Time  0.170074
2021-09-10 23:04:34.179996 : Epoch  2, Batch   1933, Loss  0.835104, Average Loss  0.871162, Time  0.169860
2021-09-10 23:04:35.801740 : Epoch  2, Batch   1934, Loss  0.853310, Average Loss  0.871148, Time  0.169993
2021-09-10 23:04:37.408001 : Epoch  2, Batch   1935, Loss  0.838971, Average Loss  0.871102, Time  0.170046
2021-09-10 23:04:39.027762 : Epoch  2, Batch   1936, Loss  0.861634, Average Loss  0.871120, Time  0.171980
2021-09-10 23:04:40.649981 : Epoch  2, Batch   1937, Loss  0.874813, Average Loss  0.871057, Time  0.172409
2021-09-10 23:04:42.263747 : Epoch  2, Batch   1938, Loss  0.852215, Average Loss  0.870992, Time  0.170039
2021-09-10 23:04:43.882998 : Epoch  2, Batch   1939, Loss  0.865071, Average Loss  0.870899, Time  0.169578
2021-09-10 23:04:45.494873 : Epoch  2, Batch   1940, Loss  0.852751, Average Loss  0.870797, Time  0.169811
2021-09-10 23:04:47.113842 : Epoch  2, Batch   1941, Loss  0.876575, Average Loss  0.870771, Time  0.169995
2021-09-10 23:04:48.695029 : Epoch  2, Batch   1942, Loss  0.878738, Average Loss  0.870763, Time  0.169589
2021-09-10 23:04:50.282057 : Epoch  2, Batch   1943, Loss  0.886784, Average Loss  0.870665, Time  0.169924
2021-09-10 23:04:51.894781 : Epoch  2, Batch   1944, Loss  0.899181, Average Loss  0.870698, Time  0.177831
2021-09-10 23:04:53.505026 : Epoch  2, Batch   1945, Loss  0.879818, Average Loss  0.870838, Time  0.173365
2021-09-10 23:04:55.089025 : Epoch  2, Batch   1946, Loss  0.911224, Average Loss  0.871044, Time  0.170373
2021-09-10 23:04:56.682059 : Epoch  2, Batch   1947, Loss  0.867076, Average Loss  0.870954, Time  0.188548
2021-09-10 23:04:58.268865 : Epoch  2, Batch   1948, Loss  0.888608, Average Loss  0.870998, Time  0.170691
2021-09-10 23:04:59.897035 : Epoch  2, Batch   1949, Loss  0.881297, Average Loss  0.870931, Time  0.174584
2021-09-10 23:05:01.510798 : Epoch  2, Batch   1950, Loss  0.863249, Average Loss  0.870776, Time  0.171676
2021-09-10 23:05:03.113035 : Epoch  2, Batch   1951, Loss  0.901031, Average Loss  0.870908, Time  0.173430
2021-09-10 23:05:04.735777 : Epoch  2, Batch   1952, Loss  0.895405, Average Loss  0.870935, Time  0.170924
2021-09-10 23:05:06.353850 : Epoch  2, Batch   1953, Loss  0.866794, Average Loss  0.870894, Time  0.172575
2021-09-10 23:05:07.976919 : Epoch  2, Batch   1954, Loss  0.886274, Average Loss  0.870973, Time  0.172531
2021-09-10 23:05:09.553187 : Epoch  2, Batch   1955, Loss  0.893691, Average Loss  0.871271, Time  0.174217
2021-09-10 23:05:11.130875 : Epoch  2, Batch   1956, Loss  0.862410, Average Loss  0.871380, Time  0.170229
2021-09-10 23:05:12.720038 : Epoch  2, Batch   1957, Loss  0.878237, Average Loss  0.871366, Time  0.179745
2021-09-10 23:05:14.318761 : Epoch  2, Batch   1958, Loss  0.876663, Average Loss  0.871322, Time  0.170439
2021-09-10 23:05:15.930032 : Epoch  2, Batch   1959, Loss  0.893418, Average Loss  0.871467, Time  0.172553
2021-09-10 23:05:17.520830 : Epoch  2, Batch   1960, Loss  0.869600, Average Loss  0.871483, Time  0.169928
2021-09-10 23:05:19.111031 : Epoch  2, Batch   1961, Loss  0.882763, Average Loss  0.871549, Time  0.172872
2021-09-10 23:05:20.674786 : Epoch  2, Batch   1962, Loss  0.865691, Average Loss  0.871398, Time  0.170225
2021-09-10 23:05:22.253024 : Epoch  2, Batch   1963, Loss  0.855793, Average Loss  0.871323, Time  0.174923
2021-09-10 23:05:23.859483 : Epoch  2, Batch   1964, Loss  0.852004, Average Loss  0.871275, Time  0.172471
2021-09-10 23:05:25.454913 : Epoch  2, Batch   1965, Loss  0.873129, Average Loss  0.871423, Time  0.180518
2021-09-10 23:05:27.055837 : Epoch  2, Batch   1966, Loss  0.906696, Average Loss  0.871506, Time  0.172703
2021-09-10 23:05:28.646059 : Epoch  2, Batch   1967, Loss  0.902456, Average Loss  0.871880, Time  0.170296
2021-09-10 23:05:30.310043 : Epoch  2, Batch   1968, Loss  0.881658, Average Loss  0.871978, Time  0.172447
2021-09-10 23:05:31.932019 : Epoch  2, Batch   1969, Loss  0.892454, Average Loss  0.871962, Time  0.176411
2021-09-10 23:05:33.541789 : Epoch  2, Batch   1970, Loss  0.898325, Average Loss  0.872130, Time  0.170974
2021-09-10 23:05:35.134836 : Epoch  2, Batch   1971, Loss  0.860026, Average Loss  0.872014, Time  0.170036
2021-09-10 23:05:36.751035 : Epoch  2, Batch   1972, Loss  0.857304, Average Loss  0.871931, Time  0.177253
2021-09-10 23:05:38.370036 : Epoch  2, Batch   1973, Loss  0.889192, Average Loss  0.872041, Time  0.172094
2021-09-10 23:05:39.977032 : Epoch  2, Batch   1974, Loss  0.871037, Average Loss  0.872117, Time  0.170579
2021-09-10 23:05:41.569789 : Epoch  2, Batch   1975, Loss  0.864914, Average Loss  0.872063, Time  0.170434
2021-09-10 23:05:43.170024 : Epoch  2, Batch   1976, Loss  0.859102, Average Loss  0.872097, Time  0.183430
2021-09-10 23:05:44.742410 : Epoch  2, Batch   1977, Loss  0.862927, Average Loss  0.871967, Time  0.172009
2021-09-10 23:05:46.304745 : Epoch  2, Batch   1978, Loss  0.882160, Average Loss  0.871868, Time  0.175987
2021-09-10 23:05:47.883023 : Epoch  2, Batch   1979, Loss  0.882598, Average Loss  0.871817, Time  0.170121
2021-09-10 23:05:49.464790 : Epoch  2, Batch   1980, Loss  0.865825, Average Loss  0.871897, Time  0.170651
2021-09-10 23:05:51.047037 : Epoch  2, Batch   1981, Loss  0.867151, Average Loss  0.871909, Time  0.169651
2021-09-10 23:05:52.630859 : Epoch  2, Batch   1982, Loss  0.863487, Average Loss  0.871828, Time  0.169873
2021-09-10 23:05:54.235888 : Epoch  2, Batch   1983, Loss  0.888054, Average Loss  0.872012, Time  0.169996
2021-09-10 23:05:55.858776 : Epoch  2, Batch   1984, Loss  0.884772, Average Loss  0.871944, Time  0.169939
2021-09-10 23:05:57.482852 : Epoch  2, Batch   1985, Loss  0.864641, Average Loss  0.872023, Time  0.169798
2021-09-10 23:05:59.103986 : Epoch  2, Batch   1986, Loss  0.901651, Average Loss  0.872206, Time  0.169785
2021-09-10 23:06:00.727780 : Epoch  2, Batch   1987, Loss  0.870716, Average Loss  0.872216, Time  0.171934
2021-09-10 23:06:02.348926 : Epoch  2, Batch   1988, Loss  0.869419, Average Loss  0.872267, Time  0.169909
2021-09-10 23:06:03.966848 : Epoch  2, Batch   1989, Loss  0.861133, Average Loss  0.872212, Time  0.169995
2021-09-10 23:10:44.637714 : CheckPoint: Validation Loss  0.00060053, Best Loss  0.00057296
2021-09-10 23:10:46.251868 : Epoch  2, Batch   1990, Loss  0.858718, Average Loss  0.872172, Time  0.177441
2021-09-10 23:10:47.875800 : Epoch  2, Batch   1991, Loss  0.808435, Average Loss  0.871822, Time  0.170051
2021-09-10 23:10:49.493988 : Epoch  2, Batch   1992, Loss  0.890089, Average Loss  0.872008, Time  0.169965
2021-09-10 23:10:51.126746 : Epoch  2, Batch   1993, Loss  0.858545, Average Loss  0.871936, Time  0.169777
2021-09-10 23:10:52.737972 : Epoch  2, Batch   1994, Loss  0.888754, Average Loss  0.871931, Time  0.170000
2021-09-10 23:10:54.318855 : Epoch  2, Batch   1995, Loss  0.860407, Average Loss  0.871929, Time  0.169911
2021-09-10 23:10:55.897023 : Epoch  2, Batch   1996, Loss  0.874575, Average Loss  0.871919, Time  0.175250
2021-09-10 23:10:57.513029 : Epoch  2, Batch   1997, Loss  0.848946, Average Loss  0.871718, Time  0.174192
2021-09-10 23:10:59.112070 : Epoch  2, Batch   1998, Loss  0.848917, Average Loss  0.871453, Time  0.191973
2021-09-10 23:11:00.698024 : Epoch  2, Batch   1999, Loss  0.836046, Average Loss  0.871323, Time  0.174920
2021-09-10 23:11:02.272836 : Epoch  2, Batch   2000, Loss  0.905648, Average Loss  0.871493, Time  0.170969
2021-09-10 23:11:03.877035 : Epoch  2, Batch   2001, Loss  0.877783, Average Loss  0.871494, Time  0.170050
2021-09-10 23:11:05.479811 : Epoch  2, Batch   2002, Loss  0.865716, Average Loss  0.871441, Time  0.170475
2021-09-10 23:11:07.073047 : Epoch  2, Batch   2003, Loss  0.862554, Average Loss  0.871351, Time  0.169999
2021-09-10 23:11:08.662745 : Epoch  2, Batch   2004, Loss  0.845035, Average Loss  0.871233, Time  0.173558
2021-09-10 23:11:10.263742 : Epoch  2, Batch   2005, Loss  0.875006, Average Loss  0.871182, Time  0.172384
2021-09-10 23:11:11.858944 : Epoch  2, Batch   2006, Loss  0.866238, Average Loss  0.871028, Time  0.173796
2021-09-10 23:11:13.447894 : Epoch  2, Batch   2007, Loss  0.879427, Average Loss  0.871126, Time  0.171156
2021-09-10 23:11:15.031026 : Epoch  2, Batch   2008, Loss  0.879318, Average Loss  0.871100, Time  0.177943
2021-09-10 23:11:16.645040 : Epoch  2, Batch   2009, Loss  0.860435, Average Loss  0.871001, Time  0.170290
2021-09-10 23:11:18.277819 : Epoch  2, Batch   2010, Loss  0.856584, Average Loss  0.871044, Time  0.173777
2021-09-10 23:11:19.876787 : Epoch  2, Batch   2011, Loss  0.858533, Average Loss  0.871090, Time  0.171317
2021-09-10 23:11:21.453998 : Epoch  2, Batch   2012, Loss  0.844771, Average Loss  0.870921, Time  0.173429
2021-09-10 23:11:23.049036 : Epoch  2, Batch   2013, Loss  0.878691, Average Loss  0.870790, Time  0.175872
2021-09-10 23:11:24.647030 : Epoch  2, Batch   2014, Loss  0.843530, Average Loss  0.870504, Time  0.169693
2021-09-10 23:11:26.241826 : Epoch  2, Batch   2015, Loss  0.865362, Average Loss  0.870359, Time  0.173447
2021-09-10 23:11:27.870027 : Epoch  2, Batch   2016, Loss  0.886189, Average Loss  0.870315, Time  0.172323
2021-09-10 23:11:29.474747 : Epoch  2, Batch   2017, Loss  0.852864, Average Loss  0.870322, Time  0.170851
2021-09-10 23:11:31.080931 : Epoch  2, Batch   2018, Loss  0.840597, Average Loss  0.870165, Time  0.173949
2021-09-10 23:11:32.679745 : Epoch  2, Batch   2019, Loss  0.850916, Average Loss  0.870101, Time  0.181230
2021-09-10 23:11:34.276024 : Epoch  2, Batch   2020, Loss  0.866794, Average Loss  0.869991, Time  0.171578
2021-09-10 23:11:35.858028 : Epoch  2, Batch   2021, Loss  0.897993, Average Loss  0.870011, Time  0.178494
2021-09-10 23:11:37.472017 : Epoch  2, Batch   2022, Loss  0.890421, Average Loss  0.870080, Time  0.173735
2021-09-10 23:11:39.045038 : Epoch  2, Batch   2023, Loss  0.851019, Average Loss  0.869894, Time  0.169738
2021-09-10 23:11:40.631789 : Epoch  2, Batch   2024, Loss  0.858873, Average Loss  0.869646, Time  0.172817
2021-09-10 23:11:42.236368 : Epoch  2, Batch   2025, Loss  0.830141, Average Loss  0.869469, Time  0.170177
2021-09-10 23:11:43.835031 : Epoch  2, Batch   2026, Loss  0.863489, Average Loss  0.869470, Time  0.170008
2021-09-10 23:11:45.472030 : Epoch  2, Batch   2027, Loss  0.874958, Average Loss  0.869434, Time  0.169965
2021-09-10 23:11:47.093807 : Epoch  2, Batch   2028, Loss  0.862331, Average Loss  0.869326, Time  0.175474
2021-09-10 23:11:48.694031 : Epoch  2, Batch   2029, Loss  0.895616, Average Loss  0.869346, Time  0.175100
2021-09-10 23:11:50.291847 : Epoch  2, Batch   2030, Loss  0.863700, Average Loss  0.869266, Time  0.169915
2021-09-10 23:11:51.914744 : Epoch  2, Batch   2031, Loss  0.864289, Average Loss  0.869303, Time  0.175101
2021-09-10 23:11:53.518035 : Epoch  2, Batch   2032, Loss  0.854152, Average Loss  0.869081, Time  0.173698
2021-09-10 23:11:55.124738 : Epoch  2, Batch   2033, Loss  0.899738, Average Loss  0.869294, Time  0.171062
2021-09-10 23:11:56.744851 : Epoch  2, Batch   2034, Loss  0.848200, Average Loss  0.869171, Time  0.181496
2021-09-10 23:11:58.365792 : Epoch  2, Batch   2035, Loss  0.858596, Average Loss  0.869107, Time  0.170510
2021-09-10 23:11:59.979798 : Epoch  2, Batch   2036, Loss  0.864265, Average Loss  0.869126, Time  0.169699
2021-09-10 23:12:01.569828 : Epoch  2, Batch   2037, Loss  0.880886, Average Loss  0.869089, Time  0.173413
2021-09-10 23:12:03.158758 : Epoch  2, Batch   2038, Loss  0.861638, Average Loss  0.869024, Time  0.170372
2021-09-10 23:12:04.762029 : Epoch  2, Batch   2039, Loss  0.865931, Average Loss  0.868898, Time  0.174041
2021-09-10 23:12:06.357900 : Epoch  2, Batch   2040, Loss  0.850882, Average Loss  0.868779, Time  0.172853
2021-09-10 23:12:07.971034 : Epoch  2, Batch   2041, Loss  0.828140, Average Loss  0.868662, Time  0.173613
2021-09-10 23:12:09.576896 : Epoch  2, Batch   2042, Loss  0.856873, Average Loss  0.868561, Time  0.178557
2021-09-10 23:12:11.183045 : Epoch  2, Batch   2043, Loss  0.858581, Average Loss  0.868555, Time  0.181839
2021-09-10 23:12:12.783738 : Epoch  2, Batch   2044, Loss  0.859305, Average Loss  0.868546, Time  0.173127
2021-09-10 23:12:14.389838 : Epoch  2, Batch   2045, Loss  0.900154, Average Loss  0.868705, Time  0.181283
2021-09-10 23:12:15.990831 : Epoch  2, Batch   2046, Loss  0.865811, Average Loss  0.868627, Time  0.176832
2021-09-10 23:12:17.599836 : Epoch  2, Batch   2047, Loss  0.855935, Average Loss  0.868545, Time  0.174348
2021-09-10 23:12:19.181758 : Epoch  2, Batch   2048, Loss  0.871708, Average Loss  0.868659, Time  0.170727
2021-09-10 23:12:20.811783 : Epoch  2, Batch   2049, Loss  0.868757, Average Loss  0.868845, Time  0.173351
2021-09-10 23:12:22.432037 : Epoch  2, Batch   2050, Loss  0.870866, Average Loss  0.868705, Time  0.173034
2021-09-10 23:12:24.051034 : Epoch  2, Batch   2051, Loss  0.863967, Average Loss  0.868673, Time  0.177791
2021-09-10 23:12:25.616767 : Epoch  2, Batch   2052, Loss  0.879896, Average Loss  0.868788, Time  0.170164
2021-09-10 23:12:27.217783 : Epoch  2, Batch   2053, Loss  0.855907, Average Loss  0.868645, Time  0.171804
2021-09-10 23:12:28.827828 : Epoch  2, Batch   2054, Loss  0.900911, Average Loss  0.868838, Time  0.169952
2021-09-10 23:12:30.415028 : Epoch  2, Batch   2055, Loss  0.898736, Average Loss  0.869100, Time  0.172045
2021-09-10 23:12:32.015031 : Epoch  2, Batch   2056, Loss  0.842989, Average Loss  0.869135, Time  0.173790
2021-09-10 23:12:33.599880 : Epoch  2, Batch   2057, Loss  0.881309, Average Loss  0.868936, Time  0.173664
2021-09-10 23:12:35.175754 : Epoch  2, Batch   2058, Loss  0.887789, Average Loss  0.869123, Time  0.173723
2021-09-10 23:12:36.766903 : Epoch  2, Batch   2059, Loss  0.852802, Average Loss  0.868967, Time  0.169894
2021-09-10 23:12:38.372752 : Epoch  2, Batch   2060, Loss  0.823280, Average Loss  0.868836, Time  0.170248
2021-09-10 23:12:39.978737 : Epoch  2, Batch   2061, Loss  0.875353, Average Loss  0.868817, Time  0.170695
2021-09-10 23:12:41.573737 : Epoch  2, Batch   2062, Loss  0.875290, Average Loss  0.868991, Time  0.175239
2021-09-10 23:12:43.161862 : Epoch  2, Batch   2063, Loss  0.878278, Average Loss  0.868975, Time  0.169971
2021-09-10 23:12:44.758785 : Epoch  2, Batch   2064, Loss  0.844209, Average Loss  0.868989, Time  0.178490
2021-09-10 23:12:46.383031 : Epoch  2, Batch   2065, Loss  0.866127, Average Loss  0.869020, Time  0.175859
2021-09-10 23:12:48.008047 : Epoch  2, Batch   2066, Loss  0.892377, Average Loss  0.869112, Time  0.173895
2021-09-10 23:12:49.619796 : Epoch  2, Batch   2067, Loss  0.877157, Average Loss  0.869229, Time  0.171200
2021-09-10 23:12:51.210031 : Epoch  2, Batch   2068, Loss  0.845638, Average Loss  0.869198, Time  0.169944
2021-09-10 23:12:52.810030 : Epoch  2, Batch   2069, Loss  0.847952, Average Loss  0.868952, Time  0.169645
2021-09-10 23:12:54.401753 : Epoch  2, Batch   2070, Loss  0.866755, Average Loss  0.868925, Time  0.172024
2021-09-10 23:12:55.995744 : Epoch  2, Batch   2071, Loss  0.862424, Average Loss  0.868989, Time  0.171279
2021-09-10 23:12:57.581910 : Epoch  2, Batch   2072, Loss  0.860427, Average Loss  0.869025, Time  0.169560
2021-09-10 23:12:59.183025 : Epoch  2, Batch   2073, Loss  0.869167, Average Loss  0.869153, Time  0.170206
2021-09-10 23:13:00.807026 : Epoch  2, Batch   2074, Loss  0.855201, Average Loss  0.869035, Time  0.178437
2021-09-10 23:13:02.397030 : Epoch  2, Batch   2075, Loss  0.848821, Average Loss  0.868914, Time  0.171916
2021-09-10 23:13:04.002030 : Epoch  2, Batch   2076, Loss  0.865025, Average Loss  0.868888, Time  0.170665
2021-09-10 23:13:05.613550 : Epoch  2, Batch   2077, Loss  0.837903, Average Loss  0.868726, Time  0.172139
2021-09-10 23:13:07.206017 : Epoch  2, Batch   2078, Loss  0.856653, Average Loss  0.868647, Time  0.176055
2021-09-10 23:13:08.802901 : Epoch  2, Batch   2079, Loss  0.896461, Average Loss  0.868739, Time  0.177962
2021-09-10 23:13:10.391922 : Epoch  2, Batch   2080, Loss  0.871927, Average Loss  0.868715, Time  0.182554
2021-09-10 23:13:11.996043 : Epoch  2, Batch   2081, Loss  0.877053, Average Loss  0.868678, Time  0.170094
2021-09-10 23:13:13.610809 : Epoch  2, Batch   2082, Loss  0.865690, Average Loss  0.868672, Time  0.170475
2021-09-10 23:13:15.194762 : Epoch  2, Batch   2083, Loss  0.885121, Average Loss  0.868916, Time  0.174925
2021-09-10 23:13:16.766673 : Epoch  2, Batch   2084, Loss  0.836667, Average Loss  0.868820, Time  0.169862
2021-09-10 23:13:18.371744 : Epoch  2, Batch   2085, Loss  0.900515, Average Loss  0.869013, Time  0.175839
2021-09-10 23:13:19.967796 : Epoch  2, Batch   2086, Loss  0.860967, Average Loss  0.868974, Time  0.171834
2021-09-10 23:13:21.549936 : Epoch  2, Batch   2087, Loss  0.877336, Average Loss  0.869108, Time  0.171923
2021-09-10 23:13:23.127788 : Epoch  2, Batch   2088, Loss  0.900792, Average Loss  0.869424, Time  0.173484
2021-09-10 23:13:24.730832 : Epoch  2, Batch   2089, Loss  0.874994, Average Loss  0.869634, Time  0.174955
2021-09-10 23:18:05.617716 : CheckPoint: Validation Loss  0.00058087, Best Loss  0.00057296
2021-09-10 23:18:07.232545 : Epoch  2, Batch   2090, Loss  0.869261, Average Loss  0.869648, Time  0.181777
2021-09-10 23:18:08.820917 : Epoch  2, Batch   2091, Loss  0.858736, Average Loss  0.869658, Time  0.170040
2021-09-10 23:18:10.438759 : Epoch  2, Batch   2092, Loss  0.875525, Average Loss  0.869641, Time  0.169923
2021-09-10 23:18:12.071746 : Epoch  2, Batch   2093, Loss  0.900854, Average Loss  0.869924, Time  0.180019
2021-09-10 23:18:13.704761 : Epoch  2, Batch   2094, Loss  0.888013, Average Loss  0.870050, Time  0.183960
2021-09-10 23:18:15.326029 : Epoch  2, Batch   2095, Loss  0.889132, Average Loss  0.870210, Time  0.170133
2021-09-10 23:18:16.924825 : Epoch  2, Batch   2096, Loss  0.874278, Average Loss  0.870277, Time  0.173037
2021-09-10 23:18:18.547019 : Epoch  2, Batch   2097, Loss  0.871320, Average Loss  0.870276, Time  0.180838
2021-09-10 23:18:20.181028 : Epoch  2, Batch   2098, Loss  0.863176, Average Loss  0.870162, Time  0.172335
2021-09-10 23:18:21.778796 : Epoch  2, Batch   2099, Loss  0.858148, Average Loss  0.869977, Time  0.169640
2021-09-10 23:18:23.386033 : Epoch  2, Batch   2100, Loss  0.849726, Average Loss  0.869874, Time  0.169838
2021-09-10 23:18:24.991548 : Epoch  2, Batch   2101, Loss  0.853162, Average Loss  0.869685, Time  0.174266
2021-09-10 23:18:26.584028 : Epoch  2, Batch   2102, Loss  0.850688, Average Loss  0.869688, Time  0.174777
2021-09-10 23:18:28.185848 : Epoch  2, Batch   2103, Loss  0.851075, Average Loss  0.869480, Time  0.169925
2021-09-10 23:18:29.778817 : Epoch  2, Batch   2104, Loss  0.863394, Average Loss  0.869544, Time  0.170269
2021-09-10 23:18:31.376026 : Epoch  2, Batch   2105, Loss  0.890219, Average Loss  0.869667, Time  0.175540
2021-09-10 23:18:32.968031 : Epoch  2, Batch   2106, Loss  0.848170, Average Loss  0.869534, Time  0.173818
2021-09-10 23:18:34.568744 : Epoch  2, Batch   2107, Loss  0.892209, Average Loss  0.869668, Time  0.176545
2021-09-10 23:18:36.230861 : Epoch  2, Batch   2108, Loss  0.885661, Average Loss  0.869780, Time  0.181067
2021-09-10 23:18:37.827835 : Epoch  2, Batch   2109, Loss  0.901846, Average Loss  0.869927, Time  0.178164
2021-09-10 23:18:39.444723 : Epoch  2, Batch   2110, Loss  0.877051, Average Loss  0.869989, Time  0.175349
2021-09-10 23:18:41.047042 : Epoch  2, Batch   2111, Loss  0.884974, Average Loss  0.870259, Time  0.169814
2021-09-10 23:18:42.678806 : Epoch  2, Batch   2112, Loss  0.878902, Average Loss  0.870237, Time  0.169978
2021-09-10 23:18:44.283829 : Epoch  2, Batch   2113, Loss  0.839501, Average Loss  0.870072, Time  0.172329
2021-09-10 23:18:45.906853 : Epoch  2, Batch   2114, Loss  0.868642, Average Loss  0.870071, Time  0.170619
2021-09-10 23:18:47.498950 : Epoch  2, Batch   2115, Loss  0.884396, Average Loss  0.870148, Time  0.171099
2021-09-10 23:18:49.135910 : Epoch  2, Batch   2116, Loss  0.876180, Average Loss  0.870145, Time  0.180527
2021-09-10 23:18:50.724738 : Epoch  2, Batch   2117, Loss  0.846722, Average Loss  0.869958, Time  0.174047
2021-09-10 23:18:52.312643 : Epoch  2, Batch   2118, Loss  0.838529, Average Loss  0.869791, Time  0.175209
2021-09-10 23:18:53.902032 : Epoch  2, Batch   2119, Loss  0.894689, Average Loss  0.869963, Time  0.178742
2021-09-10 23:18:55.514778 : Epoch  2, Batch   2120, Loss  0.860036, Average Loss  0.870047, Time  0.170348
2021-09-10 23:18:57.133759 : Epoch  2, Batch   2121, Loss  0.861051, Average Loss  0.869917, Time  0.170106
2021-09-10 23:18:58.723743 : Epoch  2, Batch   2122, Loss  0.876154, Average Loss  0.870034, Time  0.180007
2021-09-10 23:19:00.339033 : Epoch  2, Batch   2123, Loss  0.865568, Average Loss  0.869858, Time  0.173590
2021-09-10 23:19:01.972825 : Epoch  2, Batch   2124, Loss  0.862257, Average Loss  0.869676, Time  0.174951
2021-09-10 23:19:03.603827 : Epoch  2, Batch   2125, Loss  0.871192, Average Loss  0.869549, Time  0.185070
2021-09-10 23:19:05.222738 : Epoch  2, Batch   2126, Loss  0.893952, Average Loss  0.869781, Time  0.172219
2021-09-10 23:19:06.856745 : Epoch  2, Batch   2127, Loss  0.869318, Average Loss  0.869749, Time  0.169980
2021-09-10 23:19:08.459746 : Epoch  2, Batch   2128, Loss  0.851823, Average Loss  0.869543, Time  0.175067
2021-09-10 23:19:10.062957 : Epoch  2, Batch   2129, Loss  0.870123, Average Loss  0.869553, Time  0.173177
2021-09-10 23:19:11.645789 : Epoch  2, Batch   2130, Loss  0.876909, Average Loss  0.869571, Time  0.173042
2021-09-10 23:19:13.246813 : Epoch  2, Batch   2131, Loss  0.860945, Average Loss  0.869416, Time  0.170147
2021-09-10 23:19:14.864032 : Epoch  2, Batch   2132, Loss  0.882592, Average Loss  0.869308, Time  0.173436
2021-09-10 23:19:16.481034 : Epoch  2, Batch   2133, Loss  0.869038, Average Loss  0.869478, Time  0.170611
2021-09-10 23:19:18.084942 : Epoch  2, Batch   2134, Loss  0.861661, Average Loss  0.869520, Time  0.178659
2021-09-10 23:19:19.682825 : Epoch  2, Batch   2135, Loss  0.877369, Average Loss  0.869712, Time  0.175004
2021-09-10 23:19:21.286407 : Epoch  2, Batch   2136, Loss  0.885327, Average Loss  0.869830, Time  0.177507
2021-09-10 23:19:22.905841 : Epoch  2, Batch   2137, Loss  0.898930, Average Loss  0.869951, Time  0.178803
2021-09-10 23:19:24.553758 : Epoch  2, Batch   2138, Loss  0.860493, Average Loss  0.869992, Time  0.170928
2021-09-10 23:19:26.354749 : Epoch  2, Batch   2139, Loss  0.848508, Average Loss  0.869909, Time  0.192863
2021-09-10 23:19:28.017994 : Epoch  2, Batch   2140, Loss  0.878527, Average Loss  0.870038, Time  0.182019
2021-09-10 23:19:29.743838 : Epoch  2, Batch   2141, Loss  0.888323, Average Loss  0.870097, Time  0.178916
2021-09-10 23:19:31.417374 : Epoch  2, Batch   2142, Loss  0.852166, Average Loss  0.869964, Time  0.184199
2021-09-10 23:19:33.066397 : Epoch  2, Batch   2143, Loss  0.892460, Average Loss  0.869992, Time  0.170958
2021-09-10 23:19:34.799889 : Epoch  2, Batch   2144, Loss  0.843819, Average Loss  0.869716, Time  0.183323
2021-09-10 23:19:36.428753 : Epoch  2, Batch   2145, Loss  0.872814, Average Loss  0.869681, Time  0.169596
2021-09-10 23:19:38.057979 : Epoch  2, Batch   2146, Loss  0.849556, Average Loss  0.869372, Time  0.169721
2021-09-10 23:19:39.684726 : Epoch  2, Batch   2147, Loss  0.842048, Average Loss  0.869247, Time  0.180756
2021-09-10 23:19:41.300740 : Epoch  2, Batch   2148, Loss  0.878329, Average Loss  0.869196, Time  0.182462
2021-09-10 23:19:42.913791 : Epoch  2, Batch   2149, Loss  0.840875, Average Loss  0.868994, Time  0.172277
2021-09-10 23:19:44.542999 : Epoch  2, Batch   2150, Loss  0.892845, Average Loss  0.869142, Time  0.169703
2021-09-10 23:19:46.168864 : Epoch  2, Batch   2151, Loss  0.862578, Average Loss  0.868949, Time  0.169838
2021-09-10 23:19:47.780209 : Epoch  2, Batch   2152, Loss  0.878796, Average Loss  0.868866, Time  0.172109
2021-09-10 23:19:49.402909 : Epoch  2, Batch   2153, Loss  0.844649, Average Loss  0.868756, Time  0.170054
2021-09-10 23:19:51.024777 : Epoch  2, Batch   2154, Loss  0.879078, Average Loss  0.868720, Time  0.173347
2021-09-10 23:19:52.581921 : Epoch  2, Batch   2155, Loss  0.884515, Average Loss  0.868674, Time  0.170704
2021-09-10 23:19:54.159789 : Epoch  2, Batch   2156, Loss  0.876460, Average Loss  0.868744, Time  0.170148
2021-09-10 23:19:55.755824 : Epoch  2, Batch   2157, Loss  0.893240, Average Loss  0.868819, Time  0.170241
2021-09-10 23:19:57.379773 : Epoch  2, Batch   2158, Loss  0.870896, Average Loss  0.868790, Time  0.171948
2021-09-10 23:19:58.988063 : Epoch  2, Batch   2159, Loss  0.855010, Average Loss  0.868598, Time  0.170817
2021-09-10 23:20:00.599045 : Epoch  2, Batch   2160, Loss  0.854223, Average Loss  0.868521, Time  0.176786
2021-09-10 23:20:02.199739 : Epoch  2, Batch   2161, Loss  0.860888, Average Loss  0.868412, Time  0.175487
2021-09-10 23:20:03.814784 : Epoch  2, Batch   2162, Loss  0.874686, Average Loss  0.868457, Time  0.170142
2021-09-10 23:20:05.421050 : Epoch  2, Batch   2163, Loss  0.862428, Average Loss  0.868490, Time  0.175411
2021-09-10 23:20:07.062800 : Epoch  2, Batch   2164, Loss  0.848620, Average Loss  0.868473, Time  0.171608
2021-09-10 23:20:08.714833 : Epoch  2, Batch   2165, Loss  0.823819, Average Loss  0.868227, Time  0.171069
2021-09-10 23:20:10.327780 : Epoch  2, Batch   2166, Loss  0.864125, Average Loss  0.868014, Time  0.170925
2021-09-10 23:20:11.910034 : Epoch  2, Batch   2167, Loss  0.870004, Average Loss  0.867851, Time  0.169876
2021-09-10 23:20:13.526035 : Epoch  2, Batch   2168, Loss  0.863011, Average Loss  0.867758, Time  0.170403
2021-09-10 23:20:15.132225 : Epoch  2, Batch   2169, Loss  0.854385, Average Loss  0.867568, Time  0.174987
2021-09-10 23:20:16.714741 : Epoch  2, Batch   2170, Loss  0.853503, Average Loss  0.867344, Time  0.179508
2021-09-10 23:20:18.294772 : Epoch  2, Batch   2171, Loss  0.870500, Average Loss  0.867396, Time  0.170316
2021-09-10 23:20:19.886748 : Epoch  2, Batch   2172, Loss  0.843923, Average Loss  0.867329, Time  0.173186
2021-09-10 23:20:21.487785 : Epoch  2, Batch   2173, Loss  0.880722, Average Loss  0.867287, Time  0.173525
2021-09-10 23:20:23.096825 : Epoch  2, Batch   2174, Loss  0.824891, Average Loss  0.867056, Time  0.174297
2021-09-10 23:20:24.741060 : Epoch  2, Batch   2175, Loss  0.885336, Average Loss  0.867158, Time  0.178458
2021-09-10 23:20:26.335796 : Epoch  2, Batch   2176, Loss  0.864989, Average Loss  0.867188, Time  0.170741
2021-09-10 23:20:27.930028 : Epoch  2, Batch   2177, Loss  0.879418, Average Loss  0.867270, Time  0.173934
2021-09-10 23:20:29.548751 : Epoch  2, Batch   2178, Loss  0.855411, Average Loss  0.867136, Time  0.172570
2021-09-10 23:20:31.173033 : Epoch  2, Batch   2179, Loss  0.869205, Average Loss  0.867069, Time  0.180599
2021-09-10 23:20:32.762752 : Epoch  2, Batch   2180, Loss  0.883155, Average Loss  0.867156, Time  0.171690
2021-09-10 23:20:34.370775 : Epoch  2, Batch   2181, Loss  0.886125, Average Loss  0.867251, Time  0.172949
2021-09-10 23:20:35.990853 : Epoch  2, Batch   2182, Loss  0.864058, Average Loss  0.867254, Time  0.175877
2021-09-10 23:20:37.582029 : Epoch  2, Batch   2183, Loss  0.864526, Average Loss  0.867136, Time  0.169656
2021-09-10 23:20:39.176736 : Epoch  2, Batch   2184, Loss  0.840156, Average Loss  0.866913, Time  0.175786
2021-09-10 23:20:40.784601 : Epoch  2, Batch   2185, Loss  0.855778, Average Loss  0.866869, Time  0.173864
2021-09-10 23:20:42.400738 : Epoch  2, Batch   2186, Loss  0.861553, Average Loss  0.866668, Time  0.178082
2021-09-10 23:20:43.986140 : Epoch  2, Batch   2187, Loss  0.877224, Average Loss  0.866701, Time  0.169923
2021-09-10 23:20:45.565735 : Epoch  2, Batch   2188, Loss  0.855182, Average Loss  0.866630, Time  0.173106
2021-09-10 23:20:47.176789 : Epoch  2, Batch   2189, Loss  0.866616, Average Loss  0.866657, Time  0.180778
2021-09-10 23:25:28.225709 : CheckPoint: Validation Loss  0.00061636, Best Loss  0.00057296
2021-09-10 23:25:29.895820 : Epoch  2, Batch   2190, Loss  0.884897, Average Loss  0.866788, Time  0.180692
2021-09-10 23:25:31.511780 : Epoch  2, Batch   2191, Loss  0.886362, Average Loss  0.867178, Time  0.170052
2021-09-10 23:25:33.119048 : Epoch  2, Batch   2192, Loss  0.895331, Average Loss  0.867204, Time  0.170424
2021-09-10 23:25:34.755034 : Epoch  2, Batch   2193, Loss  0.852148, Average Loss  0.867172, Time  0.170944
2021-09-10 23:25:36.385825 : Epoch  2, Batch   2194, Loss  0.866763, Average Loss  0.867062, Time  0.173619
2021-09-10 23:25:38.003029 : Epoch  2, Batch   2195, Loss  0.900263, Average Loss  0.867261, Time  0.173737
2021-09-10 23:25:39.619738 : Epoch  2, Batch   2196, Loss  0.851363, Average Loss  0.867145, Time  0.175348
2021-09-10 23:25:41.232777 : Epoch  2, Batch   2197, Loss  0.869599, Average Loss  0.867248, Time  0.173513
2021-09-10 23:25:42.858752 : Epoch  2, Batch   2198, Loss  0.864278, Average Loss  0.867325, Time  0.171734
2021-09-10 23:25:44.469776 : Epoch  2, Batch   2199, Loss  0.863626, Average Loss  0.867463, Time  0.172688
2021-09-10 23:25:46.097760 : Epoch  2, Batch   2200, Loss  0.881455, Average Loss  0.867342, Time  0.178920
2021-09-10 23:25:47.696700 : Epoch  2, Batch   2201, Loss  0.870564, Average Loss  0.867306, Time  0.170197
2021-09-10 23:25:49.316726 : Epoch  2, Batch   2202, Loss  0.851239, Average Loss  0.867234, Time  0.170618
2021-09-10 23:25:50.954025 : Epoch  2, Batch   2203, Loss  0.875378, Average Loss  0.867298, Time  0.172306
2021-09-10 23:25:52.580938 : Epoch  2, Batch   2204, Loss  0.898008, Average Loss  0.867563, Time  0.172292
2021-09-10 23:25:54.185037 : Epoch  2, Batch   2205, Loss  0.839820, Average Loss  0.867387, Time  0.171508
2021-09-10 23:25:55.818033 : Epoch  2, Batch   2206, Loss  0.854099, Average Loss  0.867326, Time  0.169859
2021-09-10 23:25:57.444024 : Epoch  2, Batch   2207, Loss  0.861468, Average Loss  0.867236, Time  0.170537
2021-09-10 23:25:59.059057 : Epoch  2, Batch   2208, Loss  0.851050, Average Loss  0.867095, Time  0.173043
2021-09-10 23:26:00.684877 : Epoch  2, Batch   2209, Loss  0.844650, Average Loss  0.867016, Time  0.170182
2021-09-10 23:26:02.321763 : Epoch  2, Batch   2210, Loss  0.850839, Average Loss  0.866987, Time  0.175278
2021-09-10 23:26:03.945801 : Epoch  2, Batch   2211, Loss  0.886784, Average Loss  0.867128, Time  0.179162
2021-09-10 23:26:05.549835 : Epoch  2, Batch   2212, Loss  0.845051, Average Loss  0.867130, Time  0.170658
2021-09-10 23:26:07.158880 : Epoch  2, Batch   2213, Loss  0.862739, Average Loss  0.867050, Time  0.171618
2021-09-10 23:26:08.769025 : Epoch  2, Batch   2214, Loss  0.857016, Average Loss  0.867117, Time  0.170539
2021-09-10 23:26:10.408731 : Epoch  2, Batch   2215, Loss  0.876688, Average Loss  0.867174, Time  0.170772
2021-09-10 23:26:12.020493 : Epoch  2, Batch   2216, Loss  0.858700, Average Loss  0.867037, Time  0.169952
2021-09-10 23:26:13.618791 : Epoch  2, Batch   2217, Loss  0.894721, Average Loss  0.867246, Time  0.177136
2021-09-10 23:26:15.217029 : Epoch  2, Batch   2218, Loss  0.899525, Average Loss  0.867541, Time  0.169868
2021-09-10 23:26:16.843762 : Epoch  2, Batch   2219, Loss  0.855674, Average Loss  0.867564, Time  0.171305
2021-09-10 23:26:18.459730 : Epoch  2, Batch   2220, Loss  0.882037, Average Loss  0.867641, Time  0.170009
2021-09-10 23:26:20.089031 : Epoch  2, Batch   2221, Loss  0.841738, Average Loss  0.867359, Time  0.170048
2021-09-10 23:26:21.778836 : Epoch  2, Batch   2222, Loss  0.868752, Average Loss  0.867251, Time  0.169829
2021-09-10 23:26:23.391031 : Epoch  2, Batch   2223, Loss  0.889053, Average Loss  0.867441, Time  0.169700
2021-09-10 23:26:24.994265 : Epoch  2, Batch   2224, Loss  0.884471, Average Loss  0.867569, Time  0.173822
2021-09-10 23:26:26.625777 : Epoch  2, Batch   2225, Loss  0.865540, Average Loss  0.867746, Time  0.174257
2021-09-10 23:26:28.307034 : Epoch  2, Batch   2226, Loss  0.871186, Average Loss  0.867785, Time  0.170067
2021-09-10 23:26:29.992755 : Epoch  2, Batch   2227, Loss  0.863049, Average Loss  0.867725, Time  0.184055
2021-09-10 23:26:31.603042 : Epoch  2, Batch   2228, Loss  0.884374, Average Loss  0.867835, Time  0.169765
2021-09-10 23:26:33.223790 : Epoch  2, Batch   2229, Loss  0.872809, Average Loss  0.867721, Time  0.175545
2021-09-10 23:26:34.831208 : Epoch  2, Batch   2230, Loss  0.882985, Average Loss  0.867818, Time  0.170265
2021-09-10 23:26:36.483034 : Epoch  2, Batch   2231, Loss  0.876896, Average Loss  0.867881, Time  0.173177
2021-09-10 23:26:38.099757 : Epoch  2, Batch   2232, Loss  0.858447, Average Loss  0.867902, Time  0.170062
2021-09-10 23:26:39.742739 : Epoch  2, Batch   2233, Loss  0.877710, Average Loss  0.867792, Time  0.177306
2021-09-10 23:26:41.371820 : Epoch  2, Batch   2234, Loss  0.855184, Average Loss  0.867827, Time  0.170240
2021-09-10 23:26:43.010853 : Epoch  2, Batch   2235, Loss  0.858747, Average Loss  0.867828, Time  0.171149
2021-09-10 23:26:44.622030 : Epoch  2, Batch   2236, Loss  0.868946, Average Loss  0.867851, Time  0.172888
2021-09-10 23:26:46.233247 : Epoch  2, Batch   2237, Loss  0.835746, Average Loss  0.867625, Time  0.172316
2021-09-10 23:26:47.845032 : Epoch  2, Batch   2238, Loss  0.895860, Average Loss  0.867797, Time  0.170232
2021-09-10 23:26:49.470031 : Epoch  2, Batch   2239, Loss  0.885656, Average Loss  0.867895, Time  0.175589
2021-09-10 23:26:51.133040 : Epoch  2, Batch   2240, Loss  0.874319, Average Loss  0.868012, Time  0.176253
2021-09-10 23:26:52.772036 : Epoch  2, Batch   2241, Loss  0.843053, Average Loss  0.868087, Time  0.171490
2021-09-10 23:26:54.412020 : Epoch  2, Batch   2242, Loss  0.864733, Average Loss  0.868126, Time  0.179655
2021-09-10 23:26:56.112281 : Epoch  2, Batch   2243, Loss  0.875067, Average Loss  0.868209, Time  0.173095
2021-09-10 23:26:57.759206 : Epoch  2, Batch   2244, Loss  0.889741, Average Loss  0.868361, Time  0.171213
2021-09-10 23:26:59.417018 : Epoch  2, Batch   2245, Loss  0.873302, Average Loss  0.868227, Time  0.177558
2021-09-10 23:27:01.058032 : Epoch  2, Batch   2246, Loss  0.870544, Average Loss  0.868250, Time  0.170411
2021-09-10 23:27:02.701825 : Epoch  2, Batch   2247, Loss  0.874431, Average Loss  0.868343, Time  0.170432
2021-09-10 23:27:04.337037 : Epoch  2, Batch   2248, Loss  0.881478, Average Loss  0.868392, Time  0.169887
2021-09-10 23:27:05.975040 : Epoch  2, Batch   2249, Loss  0.891453, Average Loss  0.868505, Time  0.173562
2021-09-10 23:27:07.591399 : Epoch  2, Batch   2250, Loss  0.883230, Average Loss  0.868567, Time  0.179385
2021-09-10 23:27:09.212765 : Epoch  2, Batch   2251, Loss  0.872089, Average Loss  0.868607, Time  0.172948
2021-09-10 23:27:10.843931 : Epoch  2, Batch   2252, Loss  0.889391, Average Loss  0.868655, Time  0.174033
2021-09-10 23:27:12.492038 : Epoch  2, Batch   2253, Loss  0.862273, Average Loss  0.868687, Time  0.170433
2021-09-10 23:27:14.120035 : Epoch  2, Batch   2254, Loss  0.864147, Average Loss  0.868503, Time  0.170962
2021-09-10 23:27:15.746854 : Epoch  2, Batch   2255, Loss  0.907636, Average Loss  0.868547, Time  0.173346
2021-09-10 23:27:17.389024 : Epoch  2, Batch   2256, Loss  0.886128, Average Loss  0.868763, Time  0.181375
2021-09-10 23:27:18.999765 : Epoch  2, Batch   2257, Loss  0.874162, Average Loss  0.868727, Time  0.174194
2021-09-10 23:27:20.610949 : Epoch  2, Batch   2258, Loss  0.891949, Average Loss  0.868748, Time  0.170031
2021-09-10 23:27:22.244038 : Epoch  2, Batch   2259, Loss  0.852284, Average Loss  0.868746, Time  0.174041
2021-09-10 23:27:23.870835 : Epoch  2, Batch   2260, Loss  0.863764, Average Loss  0.868948, Time  0.174660
2021-09-10 23:27:25.512796 : Epoch  2, Batch   2261, Loss  0.875037, Average Loss  0.868946, Time  0.175941
2021-09-10 23:27:27.129909 : Epoch  2, Batch   2262, Loss  0.867330, Average Loss  0.868907, Time  0.178342
2021-09-10 23:27:28.786792 : Epoch  2, Batch   2263, Loss  0.849394, Average Loss  0.868762, Time  0.181313
2021-09-10 23:27:30.412024 : Epoch  2, Batch   2264, Loss  0.872860, Average Loss  0.868906, Time  0.173674
2021-09-10 23:27:32.024845 : Epoch  2, Batch   2265, Loss  0.858219, Average Loss  0.868866, Time  0.172353
2021-09-10 23:27:33.649740 : Epoch  2, Batch   2266, Loss  0.872299, Average Loss  0.868766, Time  0.173120
2021-09-10 23:27:35.255780 : Epoch  2, Batch   2267, Loss  0.876239, Average Loss  0.868761, Time  0.169860
2021-09-10 23:27:36.879746 : Epoch  2, Batch   2268, Loss  0.898590, Average Loss  0.869026, Time  0.175984
2021-09-10 23:27:38.499793 : Epoch  2, Batch   2269, Loss  0.857313, Average Loss  0.869073, Time  0.170232
2021-09-10 23:27:40.125034 : Epoch  2, Batch   2270, Loss  0.843497, Average Loss  0.868956, Time  0.170342
2021-09-10 23:27:41.741745 : Epoch  2, Batch   2271, Loss  0.837486, Average Loss  0.868832, Time  0.175325
2021-09-10 23:27:43.357759 : Epoch  2, Batch   2272, Loss  0.854066, Average Loss  0.868800, Time  0.170015
2021-09-10 23:27:44.988774 : Epoch  2, Batch   2273, Loss  0.873209, Average Loss  0.868820, Time  0.170521
2021-09-10 23:27:46.606033 : Epoch  2, Batch   2274, Loss  0.850364, Average Loss  0.868796, Time  0.176075
2021-09-10 23:27:48.250798 : Epoch  2, Batch   2275, Loss  0.881772, Average Loss  0.868961, Time  0.180060
2021-09-10 23:27:49.865066 : Epoch  2, Batch   2276, Loss  0.848211, Average Loss  0.868876, Time  0.170423
2021-09-10 23:27:51.506759 : Epoch  2, Batch   2277, Loss  0.869221, Average Loss  0.869033, Time  0.183144
2021-09-10 23:27:53.116778 : Epoch  2, Batch   2278, Loss  0.870399, Average Loss  0.869102, Time  0.173513
2021-09-10 23:27:54.759839 : Epoch  2, Batch   2279, Loss  0.871600, Average Loss  0.868977, Time  0.171642
2021-09-10 23:27:56.383819 : Epoch  2, Batch   2280, Loss  0.856393, Average Loss  0.868900, Time  0.174670
2021-09-10 23:27:58.005566 : Epoch  2, Batch   2281, Loss  0.863674, Average Loss  0.868833, Time  0.173900
2021-09-10 23:27:59.612794 : Epoch  2, Batch   2282, Loss  0.863252, Average Loss  0.868821, Time  0.170733
2021-09-10 23:28:01.241030 : Epoch  2, Batch   2283, Loss  0.885064, Average Loss  0.868820, Time  0.174608
2021-09-10 23:28:02.882771 : Epoch  2, Batch   2284, Loss  0.865683, Average Loss  0.868966, Time  0.170944
2021-09-10 23:28:04.508790 : Epoch  2, Batch   2285, Loss  0.848835, Average Loss  0.868707, Time  0.176040
2021-09-10 23:28:06.106010 : Epoch  2, Batch   2286, Loss  0.879724, Average Loss  0.868801, Time  0.169456
2021-09-10 23:28:07.728744 : Epoch  2, Batch   2287, Loss  0.877097, Average Loss  0.868800, Time  0.174730
2021-09-10 23:28:09.367025 : Epoch  2, Batch   2288, Loss  0.857166, Average Loss  0.868582, Time  0.172949
2021-09-10 23:28:16.491742 : Epoch  2, Batch   2289, Loss  0.879441, Average Loss  0.868604, Time  0.180979
2021-09-10 23:32:58.071733 : CheckPoint: Validation Loss  0.00059100, Best Loss  0.00057296
2021-09-10 23:32:59.748935 : Epoch  2, Batch   2290, Loss  0.867312, Average Loss  0.868594, Time  0.175850
2021-09-10 23:33:01.375739 : Epoch  2, Batch   2291, Loss  0.846067, Average Loss  0.868531, Time  0.170460
2021-09-10 23:33:02.981999 : Epoch  2, Batch   2292, Loss  0.893001, Average Loss  0.868618, Time  0.169833
2021-09-10 23:33:04.595022 : Epoch  2, Batch   2293, Loss  0.881241, Average Loss  0.868520, Time  0.173274
2021-09-10 23:33:06.199802 : Epoch  2, Batch   2294, Loss  0.875654, Average Loss  0.868458, Time  0.173997
2021-09-10 23:33:07.825824 : Epoch  2, Batch   2295, Loss  0.852543, Average Loss  0.868275, Time  0.170284
2021-09-10 23:33:09.484022 : Epoch  2, Batch   2296, Loss  0.855457, Average Loss  0.868181, Time  0.183043
2021-09-10 23:33:11.107067 : Epoch  2, Batch   2297, Loss  0.844499, Average Loss  0.868047, Time  0.170611
2021-09-10 23:33:12.734029 : Epoch  2, Batch   2298, Loss  0.871838, Average Loss  0.868090, Time  0.174120
2021-09-10 23:33:14.336106 : Epoch  2, Batch   2299, Loss  0.887486, Average Loss  0.868237, Time  0.173928
2021-09-10 23:33:15.964670 : Epoch  2, Batch   2300, Loss  0.907772, Average Loss  0.868527, Time  0.174440
2021-09-10 23:33:17.569261 : Epoch  2, Batch   2301, Loss  0.899546, Average Loss  0.868759, Time  0.175480
2021-09-10 23:33:19.178034 : Epoch  2, Batch   2302, Loss  0.888125, Average Loss  0.868946, Time  0.182373
2021-09-10 23:33:20.778759 : Epoch  2, Batch   2303, Loss  0.868207, Average Loss  0.869032, Time  0.170678
2021-09-10 23:33:22.392035 : Epoch  2, Batch   2304, Loss  0.853888, Average Loss  0.868985, Time  0.169799
2021-09-10 23:33:23.985734 : Epoch  2, Batch   2305, Loss  0.830731, Average Loss  0.868687, Time  0.170665
2021-09-10 23:33:25.575784 : Epoch  2, Batch   2306, Loss  0.872984, Average Loss  0.868811, Time  0.170445
2021-09-10 23:33:27.204908 : Epoch  2, Batch   2307, Loss  0.852321, Average Loss  0.868612, Time  0.170586
2021-09-10 23:33:28.804851 : Epoch  2, Batch   2308, Loss  0.897178, Average Loss  0.868669, Time  0.170777
2021-09-10 23:33:30.415033 : Epoch  2, Batch   2309, Loss  0.874373, Average Loss  0.868532, Time  0.169651
2021-09-10 23:33:32.045060 : Epoch  2, Batch   2310, Loss  0.835778, Average Loss  0.868326, Time  0.170347
2021-09-10 23:33:33.653784 : Epoch  2, Batch   2311, Loss  0.860742, Average Loss  0.868204, Time  0.170044
2021-09-10 23:33:35.259044 : Epoch  2, Batch   2312, Loss  0.893196, Average Loss  0.868276, Time  0.170363
2021-09-10 23:33:36.955001 : Epoch  2, Batch   2313, Loss  0.886756, Average Loss  0.868512, Time  0.170082
2021-09-10 23:33:38.591743 : Epoch  2, Batch   2314, Loss  0.853345, Average Loss  0.868436, Time  0.169603
2021-09-10 23:33:40.221754 : Epoch  2, Batch   2315, Loss  0.882444, Average Loss  0.868426, Time  0.172262
2021-09-10 23:33:41.849764 : Epoch  2, Batch   2316, Loss  0.875354, Average Loss  0.868422, Time  0.170023
2021-09-10 23:33:43.480002 : Epoch  2, Batch   2317, Loss  0.869415, Average Loss  0.868535, Time  0.169903
2021-09-10 23:33:45.085034 : Epoch  2, Batch   2318, Loss  0.886888, Average Loss  0.868777, Time  0.178523
2021-09-10 23:33:46.727839 : Epoch  2, Batch   2319, Loss  0.887503, Average Loss  0.868741, Time  0.170782
2021-09-10 23:33:48.361770 : Epoch  2, Batch   2320, Loss  0.855282, Average Loss  0.868717, Time  0.178659
2021-09-10 23:33:50.002037 : Epoch  2, Batch   2321, Loss  0.859658, Average Loss  0.868710, Time  0.184581
2021-09-10 23:33:51.627021 : Epoch  2, Batch   2322, Loss  0.874123, Average Loss  0.868700, Time  0.179123
2021-09-10 23:33:53.262881 : Epoch  2, Batch   2323, Loss  0.837824, Average Loss  0.868562, Time  0.174375
2021-09-10 23:33:54.876852 : Epoch  2, Batch   2324, Loss  0.864971, Average Loss  0.868575, Time  0.173694
2021-09-10 23:33:56.475851 : Epoch  2, Batch   2325, Loss  0.865201, Average Loss  0.868545, Time  0.170045
2021-09-10 23:33:58.123782 : Epoch  2, Batch   2326, Loss  0.869648, Average Loss  0.868424, Time  0.169686
2021-09-10 23:33:59.752999 : Epoch  2, Batch   2327, Loss  0.866959, Average Loss  0.868412, Time  0.169862
2021-09-10 23:34:01.398849 : Epoch  2, Batch   2328, Loss  0.838363, Average Loss  0.868345, Time  0.169816
2021-09-10 23:34:03.036764 : Epoch  2, Batch   2329, Loss  0.850608, Average Loss  0.868247, Time  0.170027
2021-09-10 23:34:04.669920 : Epoch  2, Batch   2330, Loss  0.876857, Average Loss  0.868247, Time  0.169704
2021-09-10 23:34:06.312759 : Epoch  2, Batch   2331, Loss  0.864686, Average Loss  0.868265, Time  0.172462
2021-09-10 23:34:07.946004 : Epoch  2, Batch   2332, Loss  0.872970, Average Loss  0.868217, Time  0.169703
2021-09-10 23:34:09.570778 : Epoch  2, Batch   2333, Loss  0.888552, Average Loss  0.868315, Time  0.169820
2021-09-10 23:34:11.194989 : Epoch  2, Batch   2334, Loss  0.852162, Average Loss  0.868267, Time  0.169758
2021-09-10 23:34:12.820998 : Epoch  2, Batch   2335, Loss  0.881575, Average Loss  0.868288, Time  0.169551
2021-09-10 23:34:14.443797 : Epoch  2, Batch   2336, Loss  0.863475, Average Loss  0.868179, Time  0.169880
2021-09-10 23:34:16.087007 : Epoch  2, Batch   2337, Loss  0.855937, Average Loss  0.867964, Time  0.169769
2021-09-10 23:34:17.723746 : Epoch  2, Batch   2338, Loss  0.876298, Average Loss  0.868043, Time  0.170160
2021-09-10 23:34:19.364755 : Epoch  2, Batch   2339, Loss  0.881863, Average Loss  0.868210, Time  0.169985
2021-09-10 23:34:21.000788 : Epoch  2, Batch   2340, Loss  0.858128, Average Loss  0.868108, Time  0.169831
2021-09-10 23:34:22.629759 : Epoch  2, Batch   2341, Loss  0.881503, Average Loss  0.868074, Time  0.169966
2021-09-10 23:34:24.273923 : Epoch  2, Batch   2342, Loss  0.878263, Average Loss  0.868204, Time  0.169783
2021-09-10 23:34:25.902794 : Epoch  2, Batch   2343, Loss  0.874207, Average Loss  0.868113, Time  0.170012
2021-09-10 23:34:27.540004 : Epoch  2, Batch   2344, Loss  0.862961, Average Loss  0.868209, Time  0.169857
2021-09-10 23:34:29.167732 : Epoch  2, Batch   2345, Loss  0.874853, Average Loss  0.868219, Time  0.170066
2021-09-10 23:34:30.792000 : Epoch  2, Batch   2346, Loss  0.890769, Average Loss  0.868425, Time  0.169697
2021-09-10 23:34:32.398759 : Epoch  2, Batch   2347, Loss  0.870355, Average Loss  0.868567, Time  0.170041
2021-09-10 23:34:34.023738 : Epoch  2, Batch   2348, Loss  0.868292, Average Loss  0.868516, Time  0.169942
2021-09-10 23:34:35.650784 : Epoch  2, Batch   2349, Loss  0.884928, Average Loss  0.868737, Time  0.170010
2021-09-10 23:34:37.260068 : Epoch  2, Batch   2350, Loss  0.859601, Average Loss  0.868570, Time  0.175445
2021-09-10 23:34:38.894018 : Epoch  2, Batch   2351, Loss  0.885872, Average Loss  0.868687, Time  0.175543
2021-09-10 23:34:40.545749 : Epoch  2, Batch   2352, Loss  0.868238, Average Loss  0.868634, Time  0.173174
2021-09-10 23:34:42.169739 : Epoch  2, Batch   2353, Loss  0.878820, Average Loss  0.868805, Time  0.177558
2021-09-10 23:34:43.796055 : Epoch  2, Batch   2354, Loss  0.894010, Average Loss  0.868880, Time  0.174634
2021-09-10 23:34:45.405996 : Epoch  2, Batch   2355, Loss  0.892646, Average Loss  0.868920, Time  0.169659
2021-09-10 23:34:47.037759 : Epoch  2, Batch   2356, Loss  0.880604, Average Loss  0.868941, Time  0.170102
2021-09-10 23:34:48.664738 : Epoch  2, Batch   2357, Loss  0.896504, Average Loss  0.868957, Time  0.171700
2021-09-10 23:34:50.282791 : Epoch  2, Batch   2358, Loss  0.864835, Average Loss  0.868927, Time  0.169607
2021-09-10 23:34:51.882567 : Epoch  2, Batch   2359, Loss  0.880727, Average Loss  0.869056, Time  0.170566
2021-09-10 23:34:53.536830 : Epoch  2, Batch   2360, Loss  0.862137, Average Loss  0.869095, Time  0.169948
2021-09-10 23:34:55.161787 : Epoch  2, Batch   2361, Loss  0.839228, Average Loss  0.868987, Time  0.171718
2021-09-10 23:34:56.775741 : Epoch  2, Batch   2362, Loss  0.851656, Average Loss  0.868872, Time  0.169653
2021-09-10 23:34:58.476819 : Epoch  2, Batch   2363, Loss  0.867259, Average Loss  0.868896, Time  0.171789
2021-09-10 23:35:00.092996 : Epoch  2, Batch   2364, Loss  0.911825, Average Loss  0.869212, Time  0.169818
2021-09-10 23:35:01.740999 : Epoch  2, Batch   2365, Loss  0.868919, Average Loss  0.869437, Time  0.169712
2021-09-10 23:35:03.375790 : Epoch  2, Batch   2366, Loss  0.855708, Average Loss  0.869395, Time  0.169619
2021-09-10 23:35:05.002990 : Epoch  2, Batch   2367, Loss  0.857508, Average Loss  0.869333, Time  0.169730
2021-09-10 23:35:06.625754 : Epoch  2, Batch   2368, Loss  0.880155, Average Loss  0.869419, Time  0.174079
2021-09-10 23:35:08.248739 : Epoch  2, Batch   2369, Loss  0.880598, Average Loss  0.869550, Time  0.170386
2021-09-10 23:35:09.865016 : Epoch  2, Batch   2370, Loss  0.894490, Average Loss  0.869755, Time  0.169520
2021-09-10 23:35:11.523035 : Epoch  2, Batch   2371, Loss  0.867671, Average Loss  0.869740, Time  0.180312
2021-09-10 23:35:13.156760 : Epoch  2, Batch   2372, Loss  0.874709, Average Loss  0.869894, Time  0.172200
2021-09-10 23:35:14.802022 : Epoch  2, Batch   2373, Loss  0.868645, Average Loss  0.869834, Time  0.174913
2021-09-10 23:35:16.439034 : Epoch  2, Batch   2374, Loss  0.889020, Average Loss  0.870155, Time  0.179005
2021-09-10 23:35:18.068851 : Epoch  2, Batch   2375, Loss  0.858568, Average Loss  0.870021, Time  0.171514
2021-09-10 23:35:19.727748 : Epoch  2, Batch   2376, Loss  0.863348, Average Loss  0.870013, Time  0.170468
2021-09-10 23:35:21.344777 : Epoch  2, Batch   2377, Loss  0.866880, Average Loss  0.869950, Time  0.173884
2021-09-10 23:35:22.946796 : Epoch  2, Batch   2378, Loss  0.873720, Average Loss  0.870041, Time  0.169848
2021-09-10 23:35:24.572912 : Epoch  2, Batch   2379, Loss  0.870499, Average Loss  0.870048, Time  0.169935
2021-09-10 23:35:26.202758 : Epoch  2, Batch   2380, Loss  0.885333, Average Loss  0.870059, Time  0.170237
2021-09-10 23:35:27.845849 : Epoch  2, Batch   2381, Loss  0.888993, Average Loss  0.870073, Time  0.169925
2021-09-10 23:35:29.490992 : Epoch  2, Batch   2382, Loss  0.850370, Average Loss  0.870005, Time  0.169903
2021-09-10 23:35:31.110837 : Epoch  2, Batch   2383, Loss  0.865688, Average Loss  0.870010, Time  0.169915
2021-09-10 23:35:32.750991 : Epoch  2, Batch   2384, Loss  0.868747, Average Loss  0.870153, Time  0.169483
2021-09-10 23:35:34.383773 : Epoch  2, Batch   2385, Loss  0.849772, Average Loss  0.870123, Time  0.169931
2021-09-10 23:35:35.987872 : Epoch  2, Batch   2386, Loss  0.883173, Average Loss  0.870232, Time  0.170782
2021-09-10 23:35:37.614763 : Epoch  2, Batch   2387, Loss  0.856638, Average Loss  0.870129, Time  0.169865
2021-09-10 23:35:39.252992 : Epoch  2, Batch   2388, Loss  0.893268, Average Loss  0.870319, Time  0.170266
2021-09-10 23:35:40.882032 : Epoch  2, Batch   2389, Loss  0.864572, Average Loss  0.870309, Time  0.170262
2021-09-10 23:40:22.372728 : CheckPoint: Validation Loss  0.00062705, Best Loss  0.00057296
2021-09-10 23:40:24.023766 : Epoch  2, Batch   2390, Loss  0.844886, Average Loss  0.870109, Time  0.178034
2021-09-10 23:40:25.619055 : Epoch  2, Batch   2391, Loss  0.903325, Average Loss  0.870194, Time  0.172009
2021-09-10 23:40:27.258756 : Epoch  2, Batch   2392, Loss  0.890122, Average Loss  0.870168, Time  0.176244
2021-09-10 23:40:28.883010 : Epoch  2, Batch   2393, Loss  0.887942, Average Loss  0.870346, Time  0.172833
2021-09-10 23:40:30.495000 : Epoch  2, Batch   2394, Loss  0.864958, Average Loss  0.870337, Time  0.172108
2021-09-10 23:40:32.124760 : Epoch  2, Batch   2395, Loss  0.862814, Average Loss  0.870150, Time  0.179586
2021-09-10 23:40:33.721669 : Epoch  2, Batch   2396, Loss  0.903873, Average Loss  0.870413, Time  0.172464
2021-09-10 23:40:35.338013 : Epoch  2, Batch   2397, Loss  0.875036, Average Loss  0.870440, Time  0.171938
2021-09-10 23:40:36.952001 : Epoch  2, Batch   2398, Loss  0.857684, Average Loss  0.870407, Time  0.169976
2021-09-10 23:40:38.596991 : Epoch  2, Batch   2399, Loss  0.882172, Average Loss  0.870500, Time  0.169992
2021-09-10 23:40:40.262781 : Epoch  2, Batch   2400, Loss  0.853651, Average Loss  0.870361, Time  0.169853
2021-09-10 23:40:41.860994 : Epoch  2, Batch   2401, Loss  0.886482, Average Loss  0.870440, Time  0.169506
2021-09-10 23:40:43.501783 : Epoch  2, Batch   2402, Loss  0.869143, Average Loss  0.870530, Time  0.169866
2021-09-10 23:40:45.121998 : Epoch  2, Batch   2403, Loss  0.873171, Average Loss  0.870519, Time  0.170004
2021-09-10 23:40:46.736999 : Epoch  2, Batch   2404, Loss  0.849892, Average Loss  0.870278, Time  0.169902
2021-09-10 23:40:48.359745 : Epoch  2, Batch   2405, Loss  0.862326, Average Loss  0.870391, Time  0.170007
2021-09-10 23:40:49.983794 : Epoch  2, Batch   2406, Loss  0.867855, Average Loss  0.870459, Time  0.169910
2021-09-10 23:40:51.601002 : Epoch  2, Batch   2407, Loss  0.883335, Average Loss  0.870569, Time  0.169526
2021-09-10 23:40:53.232819 : Epoch  2, Batch   2408, Loss  0.883810, Average Loss  0.870733, Time  0.169809
2021-09-10 23:40:54.847743 : Epoch  2, Batch   2409, Loss  0.900727, Average Loss  0.871013, Time  0.172110
2021-09-10 23:40:56.472995 : Epoch  2, Batch   2410, Loss  0.879227, Average Loss  0.871155, Time  0.169344
2021-09-10 23:40:58.096819 : Epoch  2, Batch   2411, Loss  0.879359, Average Loss  0.871118, Time  0.169753
2021-09-10 23:40:59.723000 : Epoch  2, Batch   2412, Loss  0.868431, Average Loss  0.871235, Time  0.169643
2021-09-10 23:41:01.347812 : Epoch  2, Batch   2413, Loss  0.864319, Average Loss  0.871243, Time  0.169890
2021-09-10 23:41:02.962001 : Epoch  2, Batch   2414, Loss  0.884682, Average Loss  0.871381, Time  0.169427
2021-09-10 23:41:04.586997 : Epoch  2, Batch   2415, Loss  0.859905, Average Loss  0.871297, Time  0.170614
2021-09-10 23:41:06.216982 : Epoch  2, Batch   2416, Loss  0.893431, Average Loss  0.871471, Time  0.169622
2021-09-10 23:41:07.846779 : Epoch  2, Batch   2417, Loss  0.892132, Average Loss  0.871458, Time  0.169882
2021-09-10 23:41:09.502858 : Epoch  2, Batch   2418, Loss  0.865640, Average Loss  0.871288, Time  0.169722
2021-09-10 23:41:11.109778 : Epoch  2, Batch   2419, Loss  0.854708, Average Loss  0.871283, Time  0.169417
2021-09-10 23:41:12.742785 : Epoch  2, Batch   2420, Loss  0.840328, Average Loss  0.871075, Time  0.169678
2021-09-10 23:41:14.353883 : Epoch  2, Batch   2421, Loss  0.854708, Average Loss  0.871140, Time  0.169950
2021-09-10 23:41:15.950020 : Epoch  2, Batch   2422, Loss  0.858397, Average Loss  0.871088, Time  0.169682
2021-09-10 23:41:17.550033 : Epoch  2, Batch   2423, Loss  0.829285, Average Loss  0.870789, Time  0.170107
2021-09-10 23:41:19.162749 : Epoch  2, Batch   2424, Loss  0.840349, Average Loss  0.870569, Time  0.170469
2021-09-10 23:41:20.793887 : Epoch  2, Batch   2425, Loss  0.859461, Average Loss  0.870538, Time  0.169590
2021-09-10 23:41:22.438029 : Epoch  2, Batch   2426, Loss  0.869003, Average Loss  0.870527, Time  0.170053
2021-09-10 23:41:24.041035 : Epoch  2, Batch   2427, Loss  0.844945, Average Loss  0.870437, Time  0.169948
2021-09-10 23:41:25.649136 : Epoch  2, Batch   2428, Loss  0.873887, Average Loss  0.870384, Time  0.169778
2021-09-10 23:41:27.276757 : Epoch  2, Batch   2429, Loss  0.868988, Average Loss  0.870365, Time  0.169869
2021-09-10 23:41:28.878033 : Epoch  2, Batch   2430, Loss  0.895401, Average Loss  0.870427, Time  0.173236
2021-09-10 23:41:30.487774 : Epoch  2, Batch   2431, Loss  0.857089, Average Loss  0.870328, Time  0.169945
2021-09-10 23:41:32.112837 : Epoch  2, Batch   2432, Loss  0.872989, Average Loss  0.870401, Time  0.169900
2021-09-10 23:41:33.766994 : Epoch  2, Batch   2433, Loss  0.864031, Average Loss  0.870333, Time  0.169758
2021-09-10 23:41:35.389758 : Epoch  2, Batch   2434, Loss  0.834952, Average Loss  0.870231, Time  0.169930
2021-09-10 23:41:37.003994 : Epoch  2, Batch   2435, Loss  0.888765, Average Loss  0.870381, Time  0.169853
2021-09-10 23:41:38.622995 : Epoch  2, Batch   2436, Loss  0.892239, Average Loss  0.870498, Time  0.169399
2021-09-10 23:41:40.260000 : Epoch  2, Batch   2437, Loss  0.845802, Average Loss  0.870548, Time  0.169477
2021-09-10 23:41:41.895999 : Epoch  2, Batch   2438, Loss  0.858019, Average Loss  0.870359, Time  0.169773
2021-09-10 23:41:43.517004 : Epoch  2, Batch   2439, Loss  0.858476, Average Loss  0.870223, Time  0.170096
2021-09-10 23:41:45.117034 : Epoch  2, Batch   2440, Loss  0.898337, Average Loss  0.870343, Time  0.180387
2021-09-10 23:41:46.729030 : Epoch  2, Batch   2441, Loss  0.863986, Average Loss  0.870448, Time  0.173068
2021-09-10 23:41:48.329021 : Epoch  2, Batch   2442, Loss  0.895241, Average Loss  0.870600, Time  0.170125
2021-09-10 23:41:49.959032 : Epoch  2, Batch   2443, Loss  0.859436, Average Loss  0.870522, Time  0.173252
2021-09-10 23:41:51.570808 : Epoch  2, Batch   2444, Loss  0.882280, Average Loss  0.870485, Time  0.169568
2021-09-10 23:41:53.200981 : Epoch  2, Batch   2445, Loss  0.882938, Average Loss  0.870533, Time  0.172055
2021-09-10 23:41:54.813798 : Epoch  2, Batch   2446, Loss  0.882555, Average Loss  0.870593, Time  0.169676
2021-09-10 23:41:56.434753 : Epoch  2, Batch   2447, Loss  0.881798, Average Loss  0.870630, Time  0.169859
2021-09-10 23:41:58.057008 : Epoch  2, Batch   2448, Loss  0.842119, Average Loss  0.870433, Time  0.172261
2021-09-10 23:41:59.667782 : Epoch  2, Batch   2449, Loss  0.880558, Average Loss  0.870379, Time  0.169700
2021-09-10 23:42:01.307827 : Epoch  2, Batch   2450, Loss  0.866334, Average Loss  0.870294, Time  0.169826
2021-09-10 23:42:02.931762 : Epoch  2, Batch   2451, Loss  0.875635, Average Loss  0.870312, Time  0.169859
2021-09-10 23:42:04.555805 : Epoch  2, Batch   2452, Loss  0.878465, Average Loss  0.870257, Time  0.169616
2021-09-10 23:42:06.175837 : Epoch  2, Batch   2453, Loss  0.825531, Average Loss  0.870074, Time  0.169699
2021-09-10 23:42:07.796768 : Epoch  2, Batch   2454, Loss  0.867465, Average Loss  0.870090, Time  0.170027
2021-09-10 23:42:09.432034 : Epoch  2, Batch   2455, Loss  0.835784, Average Loss  0.869731, Time  0.184865
2021-09-10 23:42:11.061034 : Epoch  2, Batch   2456, Loss  0.857855, Average Loss  0.869590, Time  0.170074
2021-09-10 23:42:12.675035 : Epoch  2, Batch   2457, Loss  0.824517, Average Loss  0.869341, Time  0.177447
2021-09-10 23:42:14.299035 : Epoch  2, Batch   2458, Loss  0.871638, Average Loss  0.869240, Time  0.173934
2021-09-10 23:42:15.916984 : Epoch  2, Batch   2459, Loss  0.870063, Average Loss  0.869329, Time  0.172008
2021-09-10 23:42:17.541858 : Epoch  2, Batch   2460, Loss  0.888927, Average Loss  0.869455, Time  0.170065
2021-09-10 23:42:19.173848 : Epoch  2, Batch   2461, Loss  0.843181, Average Loss  0.869295, Time  0.169559
2021-09-10 23:42:20.795995 : Epoch  2, Batch   2462, Loss  0.869280, Average Loss  0.869305, Time  0.169711
2021-09-10 23:42:22.425740 : Epoch  2, Batch   2463, Loss  0.868968, Average Loss  0.869403, Time  0.169878
2021-09-10 23:42:24.076824 : Epoch  2, Batch   2464, Loss  0.882875, Average Loss  0.869453, Time  0.169719
2021-09-10 23:42:25.693996 : Epoch  2, Batch   2465, Loss  0.865929, Average Loss  0.869492, Time  0.169652
2021-09-10 23:42:27.315809 : Epoch  2, Batch   2466, Loss  0.851681, Average Loss  0.869388, Time  0.169623
2021-09-10 23:42:28.947046 : Epoch  2, Batch   2467, Loss  0.905525, Average Loss  0.869535, Time  0.169949
2021-09-10 23:42:30.561764 : Epoch  2, Batch   2468, Loss  0.879516, Average Loss  0.869439, Time  0.169678
2021-09-10 23:42:32.168743 : Epoch  2, Batch   2469, Loss  0.867383, Average Loss  0.869490, Time  0.169740
2021-09-10 23:42:33.793005 : Epoch  2, Batch   2470, Loss  0.880502, Average Loss  0.869675, Time  0.170072
2021-09-10 23:42:35.429775 : Epoch  2, Batch   2471, Loss  0.850590, Average Loss  0.869740, Time  0.169929
2021-09-10 23:42:37.056735 : Epoch  2, Batch   2472, Loss  0.883535, Average Loss  0.869888, Time  0.169386
2021-09-10 23:42:38.695861 : Epoch  2, Batch   2473, Loss  0.893498, Average Loss  0.869989, Time  0.169979
2021-09-10 23:42:40.285560 : Epoch  2, Batch   2474, Loss  0.859322, Average Loss  0.870034, Time  0.170701
2021-09-10 23:42:41.900816 : Epoch  2, Batch   2475, Loss  0.862822, Average Loss  0.869939, Time  0.180596
2021-09-10 23:42:43.500761 : Epoch  2, Batch   2476, Loss  0.895113, Average Loss  0.870174, Time  0.172452
2021-09-10 23:42:45.114839 : Epoch  2, Batch   2477, Loss  0.861498, Average Loss  0.870135, Time  0.170125
2021-09-10 23:42:46.737006 : Epoch  2, Batch   2478, Loss  0.849424, Average Loss  0.870030, Time  0.169666
2021-09-10 23:42:48.355003 : Epoch  2, Batch   2479, Loss  0.879200, Average Loss  0.870068, Time  0.169876
2021-09-10 23:42:49.976773 : Epoch  2, Batch   2480, Loss  0.886834, Average Loss  0.870220, Time  0.169581
2021-09-10 23:42:51.593995 : Epoch  2, Batch   2481, Loss  0.859764, Average Loss  0.870201, Time  0.170159
2021-09-10 23:42:53.207759 : Epoch  2, Batch   2482, Loss  0.841311, Average Loss  0.870091, Time  0.169751
2021-09-10 23:42:54.832854 : Epoch  2, Batch   2483, Loss  0.846614, Average Loss  0.869899, Time  0.171894
2021-09-10 23:42:56.491820 : Epoch  2, Batch   2484, Loss  0.873707, Average Loss  0.869939, Time  0.169830
2021-09-10 23:42:58.114992 : Epoch  2, Batch   2485, Loss  0.866717, Average Loss  0.870028, Time  0.169578
2021-09-10 23:42:59.727003 : Epoch  2, Batch   2486, Loss  0.877438, Average Loss  0.870017, Time  0.169622
2021-09-10 23:43:01.340002 : Epoch  2, Batch   2487, Loss  0.892256, Average Loss  0.870093, Time  0.169685
2021-09-10 23:43:02.965000 : Epoch  2, Batch   2488, Loss  0.899887, Average Loss  0.870306, Time  0.169591
2021-09-10 23:43:04.574462 : Epoch  2, Batch   2489, Loss  0.873894, Average Loss  0.870279, Time  0.169895
2021-09-10 23:47:45.828722 : CheckPoint: Validation Loss  0.00063134, Best Loss  0.00057296
2021-09-10 23:47:47.499754 : Epoch  2, Batch   2490, Loss  0.883732, Average Loss  0.870361, Time  0.177536
2021-09-10 23:47:49.095047 : Epoch  2, Batch   2491, Loss  0.868313, Average Loss  0.870472, Time  0.175923
2021-09-10 23:47:50.738004 : Epoch  2, Batch   2492, Loss  0.849632, Average Loss  0.870255, Time  0.183267
2021-09-10 23:47:52.374014 : Epoch  2, Batch   2493, Loss  0.882804, Average Loss  0.870263, Time  0.172354
2021-09-10 23:47:54.003821 : Epoch  2, Batch   2494, Loss  0.909208, Average Loss  0.870431, Time  0.177164
2021-09-10 23:47:55.668038 : Epoch  2, Batch   2495, Loss  0.893286, Average Loss  0.870634, Time  0.174130
2021-09-10 23:47:57.302997 : Epoch  2, Batch   2496, Loss  0.896316, Average Loss  0.870839, Time  0.169650
2021-09-10 23:47:58.947995 : Epoch  2, Batch   2497, Loss  0.825041, Average Loss  0.870741, Time  0.169813
2021-09-10 23:48:00.581768 : Epoch  2, Batch   2498, Loss  0.875391, Average Loss  0.870759, Time  0.169583
2021-09-10 23:48:02.192996 : Epoch  2, Batch   2499, Loss  0.865802, Average Loss  0.870651, Time  0.169924
2021-09-10 23:48:03.816996 : Epoch  2, Batch   2500, Loss  0.844443, Average Loss  0.870334, Time  0.169652
2021-09-10 23:48:05.453745 : Epoch  2, Batch   2501, Loss  0.888342, Average Loss  0.870278, Time  0.170306
2021-09-10 23:48:07.091995 : Epoch  2, Batch   2502, Loss  0.852725, Average Loss  0.870101, Time  0.170012
2021-09-10 23:48:08.717983 : Epoch  2, Batch   2503, Loss  0.861440, Average Loss  0.870067, Time  0.169805
2021-09-10 23:48:10.337828 : Epoch  2, Batch   2504, Loss  0.903355, Average Loss  0.870315, Time  0.169853
2021-09-10 23:48:11.970000 : Epoch  2, Batch   2505, Loss  0.842435, Average Loss  0.870373, Time  0.169743
2021-09-10 23:48:13.599769 : Epoch  2, Batch   2506, Loss  0.860254, Average Loss  0.870310, Time  0.169885
2021-09-10 23:48:15.248981 : Epoch  2, Batch   2507, Loss  0.893235, Average Loss  0.870514, Time  0.169915
2021-09-10 23:48:16.890910 : Epoch  2, Batch   2508, Loss  0.886860, Average Loss  0.870463, Time  0.169816
2021-09-10 23:48:18.530021 : Epoch  2, Batch   2509, Loss  0.832660, Average Loss  0.870254, Time  0.174072
2021-09-10 23:48:20.135953 : Epoch  2, Batch   2510, Loss  0.874781, Average Loss  0.870449, Time  0.175531
2021-09-10 23:48:21.746997 : Epoch  2, Batch   2511, Loss  0.870910, Average Loss  0.870500, Time  0.169834
2021-09-10 23:48:23.381995 : Epoch  2, Batch   2512, Loss  0.852676, Average Loss  0.870297, Time  0.170050
2021-09-10 23:48:25.036999 : Epoch  2, Batch   2513, Loss  0.877868, Average Loss  0.870253, Time  0.169690
2021-09-10 23:48:26.676769 : Epoch  2, Batch   2514, Loss  0.859020, Average Loss  0.870281, Time  0.171983
2021-09-10 23:48:28.308997 : Epoch  2, Batch   2515, Loss  0.872083, Average Loss  0.870229, Time  0.169783
2021-09-10 23:48:29.932738 : Epoch  2, Batch   2516, Loss  0.864214, Average Loss  0.870174, Time  0.170068
2021-09-10 23:48:31.553787 : Epoch  2, Batch   2517, Loss  0.841822, Average Loss  0.870036, Time  0.169825
2021-09-10 23:48:33.195774 : Epoch  2, Batch   2518, Loss  0.920985, Average Loss  0.870206, Time  0.169396
2021-09-10 23:48:34.827882 : Epoch  2, Batch   2519, Loss  0.887740, Average Loss  0.870207, Time  0.170234
2021-09-10 23:48:36.460759 : Epoch  2, Batch   2520, Loss  0.857338, Average Loss  0.870218, Time  0.169716
2021-09-10 23:48:38.094997 : Epoch  2, Batch   2521, Loss  0.865064, Average Loss  0.870245, Time  0.169814
2021-09-10 23:48:39.720838 : Epoch  2, Batch   2522, Loss  0.844471, Average Loss  0.870096, Time  0.169530
2021-09-10 23:48:41.358739 : Epoch  2, Batch   2523, Loss  0.859547, Average Loss  0.870205, Time  0.169863
2021-09-10 23:48:43.019750 : Epoch  2, Batch   2524, Loss  0.865233, Average Loss  0.870206, Time  0.169486
2021-09-10 23:48:44.691003 : Epoch  2, Batch   2525, Loss  0.871445, Average Loss  0.870238, Time  0.170045
2021-09-10 23:48:46.371804 : Epoch  2, Batch   2526, Loss  0.861217, Average Loss  0.870195, Time  0.172040
2021-09-10 23:48:47.989961 : Epoch  2, Batch   2527, Loss  0.846381, Average Loss  0.870092, Time  0.169832
2021-09-10 23:48:49.615758 : Epoch  2, Batch   2528, Loss  0.898327, Average Loss  0.870392, Time  0.172042
2021-09-10 23:48:51.263922 : Epoch  2, Batch   2529, Loss  0.879315, Average Loss  0.870536, Time  0.169806
2021-09-10 23:48:52.908920 : Epoch  2, Batch   2530, Loss  0.846262, Average Loss  0.870383, Time  0.169840
2021-09-10 23:48:54.537777 : Epoch  2, Batch   2531, Loss  0.868239, Average Loss  0.870401, Time  0.169626
2021-09-10 23:48:56.170913 : Epoch  2, Batch   2532, Loss  0.851645, Average Loss  0.870294, Time  0.169408
2021-09-10 23:48:57.813001 : Epoch  2, Batch   2533, Loss  0.829013, Average Loss  0.869996, Time  0.169857
2021-09-10 23:48:59.466881 : Epoch  2, Batch   2534, Loss  0.872922, Average Loss  0.870100, Time  0.169570
2021-09-10 23:49:01.098768 : Epoch  2, Batch   2535, Loss  0.890121, Average Loss  0.870143, Time  0.169741
2021-09-10 23:49:02.735996 : Epoch  2, Batch   2536, Loss  0.878646, Average Loss  0.870219, Time  0.169630
2021-09-10 23:49:04.375773 : Epoch  2, Batch   2537, Loss  0.861683, Average Loss  0.870247, Time  0.169575
2021-09-10 23:49:05.986760 : Epoch  2, Batch   2538, Loss  0.874271, Average Loss  0.870237, Time  0.176659
2021-09-10 23:49:07.592860 : Epoch  2, Batch   2539, Loss  0.848541, Average Loss  0.870071, Time  0.175387
2021-09-10 23:49:09.211989 : Epoch  2, Batch   2540, Loss  0.895734, Average Loss  0.870259, Time  0.169767
2021-09-10 23:49:10.838765 : Epoch  2, Batch   2541, Loss  0.861409, Average Loss  0.870158, Time  0.170194
2021-09-10 23:49:12.454741 : Epoch  2, Batch   2542, Loss  0.884708, Average Loss  0.870190, Time  0.169969
2021-09-10 23:49:14.102003 : Epoch  2, Batch   2543, Loss  0.877396, Average Loss  0.870206, Time  0.169656
2021-09-10 23:49:15.731037 : Epoch  2, Batch   2544, Loss  0.883373, Average Loss  0.870308, Time  0.170150
2021-09-10 23:49:17.371827 : Epoch  2, Batch   2545, Loss  0.870938, Average Loss  0.870289, Time  0.170117
2021-09-10 23:49:19.010862 : Epoch  2, Batch   2546, Loss  0.867543, Average Loss  0.870173, Time  0.169849
2021-09-10 23:49:20.647777 : Epoch  2, Batch   2547, Loss  0.859346, Average Loss  0.870118, Time  0.169693
2021-09-10 23:49:22.289993 : Epoch  2, Batch   2548, Loss  0.867369, Average Loss  0.870113, Time  0.169513
2021-09-10 23:49:23.923751 : Epoch  2, Batch   2549, Loss  0.876326, Average Loss  0.870070, Time  0.170014
2021-09-10 23:49:25.563987 : Epoch  2, Batch   2550, Loss  0.854635, Average Loss  0.870045, Time  0.169709
2021-09-10 23:49:27.214761 : Epoch  2, Batch   2551, Loss  0.868980, Average Loss  0.869961, Time  0.170263
2021-09-10 23:49:28.822748 : Epoch  2, Batch   2552, Loss  0.867111, Average Loss  0.869955, Time  0.170035
2021-09-10 23:49:30.440834 : Epoch  2, Batch   2553, Loss  0.889293, Average Loss  0.870008, Time  0.169515
2021-09-10 23:49:32.062778 : Epoch  2, Batch   2554, Loss  0.849962, Average Loss  0.869787, Time  0.169935
2021-09-10 23:49:33.684002 : Epoch  2, Batch   2555, Loss  0.879039, Average Loss  0.869719, Time  0.169784
2021-09-10 23:49:35.321982 : Epoch  2, Batch   2556, Loss  0.849888, Average Loss  0.869566, Time  0.169438
2021-09-10 23:49:36.966759 : Epoch  2, Batch   2557, Loss  0.900183, Average Loss  0.869584, Time  0.169955
2021-09-10 23:49:38.595745 : Epoch  2, Batch   2558, Loss  0.844377, Average Loss  0.869482, Time  0.169581
2021-09-10 23:49:40.237847 : Epoch  2, Batch   2559, Loss  0.879659, Average Loss  0.869476, Time  0.169886
2021-09-10 23:49:41.878858 : Epoch  2, Batch   2560, Loss  0.883415, Average Loss  0.869583, Time  0.169764
2021-09-10 23:49:43.500987 : Epoch  2, Batch   2561, Loss  0.897878, Average Loss  0.869876, Time  0.169753
2021-09-10 23:49:45.126859 : Epoch  2, Batch   2562, Loss  0.852813, Average Loss  0.869882, Time  0.169573
2021-09-10 23:49:46.826981 : Epoch  2, Batch   2563, Loss  0.862187, Average Loss  0.869857, Time  0.172116
2021-09-10 23:49:48.461835 : Epoch  2, Batch   2564, Loss  0.855982, Average Loss  0.869577, Time  0.169996
2021-09-10 23:49:50.066907 : Epoch  2, Batch   2565, Loss  0.876137, Average Loss  0.869613, Time  0.172547
2021-09-10 23:49:51.669811 : Epoch  2, Batch   2566, Loss  0.873310, Average Loss  0.869701, Time  0.169717
2021-09-10 23:49:53.295656 : Epoch  2, Batch   2567, Loss  0.871278, Average Loss  0.869770, Time  0.170257
2021-09-10 23:49:54.922026 : Epoch  2, Batch   2568, Loss  0.852321, Average Loss  0.869631, Time  0.170149
2021-09-10 23:49:56.539026 : Epoch  2, Batch   2569, Loss  0.888208, Average Loss  0.869669, Time  0.170272
2021-09-10 23:49:58.135865 : Epoch  2, Batch   2570, Loss  0.883943, Average Loss  0.869616, Time  0.171937
2021-09-10 23:49:59.752775 : Epoch  2, Batch   2571, Loss  0.850507, Average Loss  0.869531, Time  0.169704
2021-09-10 23:50:01.384000 : Epoch  2, Batch   2572, Loss  0.879112, Average Loss  0.869553, Time  0.170121
2021-09-10 23:50:03.025806 : Epoch  2, Batch   2573, Loss  0.856814, Average Loss  0.869493, Time  0.169909
2021-09-10 23:50:04.649993 : Epoch  2, Batch   2574, Loss  0.872246, Average Loss  0.869410, Time  0.170017
2021-09-10 23:50:06.257741 : Epoch  2, Batch   2575, Loss  0.876755, Average Loss  0.869501, Time  0.169664
2021-09-10 23:50:07.856010 : Epoch  2, Batch   2576, Loss  0.893212, Average Loss  0.869650, Time  0.169482
2021-09-10 23:50:09.487751 : Epoch  2, Batch   2577, Loss  0.870834, Average Loss  0.869670, Time  0.172037
2021-09-10 23:50:11.109998 : Epoch  2, Batch   2578, Loss  0.865413, Average Loss  0.869628, Time  0.170046
2021-09-10 23:50:12.739759 : Epoch  2, Batch   2579, Loss  0.892775, Average Loss  0.869739, Time  0.169950
2021-09-10 23:50:14.377999 : Epoch  2, Batch   2580, Loss  0.908243, Average Loss  0.869854, Time  0.169990
2021-09-10 23:50:15.989646 : Epoch  2, Batch   2581, Loss  0.842836, Average Loss  0.869623, Time  0.174680
2021-09-10 23:50:17.605003 : Epoch  2, Batch   2582, Loss  0.873982, Average Loss  0.869741, Time  0.169869
2021-09-10 23:50:19.236866 : Epoch  2, Batch   2583, Loss  0.896501, Average Loss  0.869895, Time  0.170079
2021-09-10 23:50:20.891019 : Epoch  2, Batch   2584, Loss  0.873781, Average Loss  0.869921, Time  0.170013
2021-09-10 23:50:22.519740 : Epoch  2, Batch   2585, Loss  0.870784, Average Loss  0.870026, Time  0.169791
2021-09-10 23:50:24.141822 : Epoch  2, Batch   2586, Loss  0.848542, Average Loss  0.869852, Time  0.169539
2021-09-10 23:50:25.777002 : Epoch  2, Batch   2587, Loss  0.867131, Average Loss  0.869905, Time  0.169711
2021-09-10 23:50:27.415855 : Epoch  2, Batch   2588, Loss  0.886044, Average Loss  0.869869, Time  0.169892
2021-09-10 23:50:29.034915 : Epoch  2, Batch   2589, Loss  0.902961, Average Loss  0.870061, Time  0.169921
2021-09-10 23:55:10.020726 : CheckPoint: Validation Loss  0.00061405, Best Loss  0.00057296
2021-09-10 23:55:11.683828 : Epoch  2, Batch   2590, Loss  0.895500, Average Loss  0.870314, Time  0.175431
2021-09-10 23:55:13.311762 : Epoch  2, Batch   2591, Loss  0.874935, Average Loss  0.870172, Time  0.169802
2021-09-10 23:55:14.938865 : Epoch  2, Batch   2592, Loss  0.870933, Average Loss  0.870076, Time  0.172238
2021-09-10 23:55:16.541882 : Epoch  2, Batch   2593, Loss  0.886217, Average Loss  0.870067, Time  0.169825
2021-09-10 23:55:18.119680 : Epoch  2, Batch   2594, Loss  0.867985, Average Loss  0.870082, Time  0.174741
2021-09-10 23:55:19.721032 : Epoch  2, Batch   2595, Loss  0.891839, Average Loss  0.870228, Time  0.178640
2021-09-10 23:55:21.330023 : Epoch  2, Batch   2596, Loss  0.897442, Average Loss  0.870195, Time  0.171033
2021-09-10 23:55:22.911030 : Epoch  2, Batch   2597, Loss  0.853083, Average Loss  0.870086, Time  0.175402
2021-09-10 23:55:24.523799 : Epoch  2, Batch   2598, Loss  0.893496, Average Loss  0.870265, Time  0.172407
2021-09-10 23:55:26.136741 : Epoch  2, Batch   2599, Loss  0.864648, Average Loss  0.870177, Time  0.169767
2021-09-10 23:55:27.770001 : Epoch  2, Batch   2600, Loss  0.851588, Average Loss  0.870167, Time  0.169633
2021-09-10 23:55:29.391759 : Epoch  2, Batch   2601, Loss  0.846889, Average Loss  0.869969, Time  0.169761
2021-09-10 23:55:31.029002 : Epoch  2, Batch   2602, Loss  0.866699, Average Loss  0.869957, Time  0.169596
2021-09-10 23:55:32.644882 : Epoch  2, Batch   2603, Loss  0.844015, Average Loss  0.869811, Time  0.170069
2021-09-10 23:55:34.255764 : Epoch  2, Batch   2604, Loss  0.844892, Average Loss  0.869786, Time  0.169913
2021-09-10 23:55:35.884000 : Epoch  2, Batch   2605, Loss  0.902320, Average Loss  0.869986, Time  0.169710
2021-09-10 23:55:37.501786 : Epoch  2, Batch   2606, Loss  0.874282, Average Loss  0.870018, Time  0.169546
2021-09-10 23:55:39.133744 : Epoch  2, Batch   2607, Loss  0.876588, Average Loss  0.869984, Time  0.169944
2021-09-10 23:55:40.747996 : Epoch  2, Batch   2608, Loss  0.862338, Average Loss  0.869877, Time  0.169426
2021-09-10 23:55:42.378767 : Epoch  2, Batch   2609, Loss  0.887134, Average Loss  0.869809, Time  0.169534
2021-09-10 23:55:44.005862 : Epoch  2, Batch   2610, Loss  0.882603, Average Loss  0.869826, Time  0.169434
2021-09-10 23:55:45.627810 : Epoch  2, Batch   2611, Loss  0.881690, Average Loss  0.869837, Time  0.169442
2021-09-10 23:55:47.253992 : Epoch  2, Batch   2612, Loss  0.867949, Average Loss  0.869835, Time  0.171641
2021-09-10 23:55:48.870782 : Epoch  2, Batch   2613, Loss  0.846658, Average Loss  0.869747, Time  0.169684
2021-09-10 23:55:50.468928 : Epoch  2, Batch   2614, Loss  0.884359, Average Loss  0.869745, Time  0.169716
2021-09-10 23:55:52.052033 : Epoch  2, Batch   2615, Loss  0.831476, Average Loss  0.869603, Time  0.169866
2021-09-10 23:55:53.635754 : Epoch  2, Batch   2616, Loss  0.887521, Average Loss  0.869573, Time  0.173904
2021-09-10 23:55:55.250821 : Epoch  2, Batch   2617, Loss  0.908267, Average Loss  0.869654, Time  0.178880
2021-09-10 23:55:56.884834 : Epoch  2, Batch   2618, Loss  0.881520, Average Loss  0.869733, Time  0.172651
2021-09-10 23:55:58.505891 : Epoch  2, Batch   2619, Loss  0.881189, Average Loss  0.869866, Time  0.173912
2021-09-10 23:56:00.119887 : Epoch  2, Batch   2620, Loss  0.874832, Average Loss  0.870038, Time  0.176790
2021-09-10 23:56:01.719820 : Epoch  2, Batch   2621, Loss  0.858323, Average Loss  0.870056, Time  0.173330
2021-09-10 23:56:03.317034 : Epoch  2, Batch   2622, Loss  0.877724, Average Loss  0.870153, Time  0.173226
2021-09-10 23:56:04.930816 : Epoch  2, Batch   2623, Loss  0.875686, Average Loss  0.870385, Time  0.178230
2021-09-10 23:56:06.511451 : Epoch  2, Batch   2624, Loss  0.859768, Average Loss  0.870482, Time  0.169865
2021-09-10 23:56:08.098843 : Epoch  2, Batch   2625, Loss  0.863513, Average Loss  0.870502, Time  0.170834
2021-09-10 23:56:09.706038 : Epoch  2, Batch   2626, Loss  0.847576, Average Loss  0.870395, Time  0.170066
2021-09-10 23:56:11.367759 : Epoch  2, Batch   2627, Loss  0.881048, Average Loss  0.870576, Time  0.179152
2021-09-10 23:56:12.996030 : Epoch  2, Batch   2628, Loss  0.888030, Average Loss  0.870646, Time  0.169726
2021-09-10 23:56:14.609034 : Epoch  2, Batch   2629, Loss  0.890842, Average Loss  0.870756, Time  0.170084
2021-09-10 23:56:16.231861 : Epoch  2, Batch   2630, Loss  0.890748, Average Loss  0.870732, Time  0.174212
2021-09-10 23:56:17.834749 : Epoch  2, Batch   2631, Loss  0.864173, Average Loss  0.870768, Time  0.169889
2021-09-10 23:56:19.443838 : Epoch  2, Batch   2632, Loss  0.886696, Average Loss  0.870836, Time  0.170427
2021-09-10 23:56:21.068750 : Epoch  2, Batch   2633, Loss  0.888970, Average Loss  0.870961, Time  0.171334
2021-09-10 23:56:22.678032 : Epoch  2, Batch   2634, Loss  0.894223, Average Loss  0.871257, Time  0.173105
2021-09-10 23:56:24.280777 : Epoch  2, Batch   2635, Loss  0.848005, Average Loss  0.871054, Time  0.170431
2021-09-10 23:56:25.896907 : Epoch  2, Batch   2636, Loss  0.865504, Average Loss  0.870920, Time  0.169406
2021-09-10 23:56:27.523763 : Epoch  2, Batch   2637, Loss  0.854028, Average Loss  0.870961, Time  0.170004
2021-09-10 23:56:29.150800 : Epoch  2, Batch   2638, Loss  0.853594, Average Loss  0.870939, Time  0.169533
2021-09-10 23:56:30.772796 : Epoch  2, Batch   2639, Loss  0.861225, Average Loss  0.870953, Time  0.170238
2021-09-10 23:56:32.406847 : Epoch  2, Batch   2640, Loss  0.853001, Average Loss  0.870726, Time  0.169965
2021-09-10 23:56:33.997760 : Epoch  2, Batch   2641, Loss  0.841161, Average Loss  0.870612, Time  0.169934
2021-09-10 23:56:35.621780 : Epoch  2, Batch   2642, Loss  0.873115, Average Loss  0.870501, Time  0.175381
2021-09-10 23:56:37.258886 : Epoch  2, Batch   2643, Loss  0.875617, Average Loss  0.870582, Time  0.172514
2021-09-10 23:56:38.866200 : Epoch  2, Batch   2644, Loss  0.893523, Average Loss  0.870638, Time  0.173301
2021-09-10 23:56:40.468836 : Epoch  2, Batch   2645, Loss  0.892685, Average Loss  0.870687, Time  0.169724
2021-09-10 23:56:42.103781 : Epoch  2, Batch   2646, Loss  0.853178, Average Loss  0.870540, Time  0.169583
2021-09-10 23:56:43.717834 : Epoch  2, Batch   2647, Loss  0.865899, Average Loss  0.870461, Time  0.170076
2021-09-10 23:56:45.343912 : Epoch  2, Batch   2648, Loss  0.857285, Average Loss  0.870537, Time  0.183115
2021-09-10 23:56:46.932844 : Epoch  2, Batch   2649, Loss  0.852558, Average Loss  0.870397, Time  0.169669
2021-09-10 23:56:48.556783 : Epoch  2, Batch   2650, Loss  0.850482, Average Loss  0.870317, Time  0.170629
2021-09-10 23:56:50.178748 : Epoch  2, Batch   2651, Loss  0.885860, Average Loss  0.870368, Time  0.172688
2021-09-10 23:56:51.809773 : Epoch  2, Batch   2652, Loss  0.843388, Average Loss  0.870193, Time  0.169671
2021-09-10 23:56:53.433808 : Epoch  2, Batch   2653, Loss  0.869046, Average Loss  0.870411, Time  0.169999
2021-09-10 23:56:55.076810 : Epoch  2, Batch   2654, Loss  0.894265, Average Loss  0.870545, Time  0.169762
2021-09-10 23:56:56.700912 : Epoch  2, Batch   2655, Loss  0.846925, Average Loss  0.870600, Time  0.170003
2021-09-10 23:56:58.327742 : Epoch  2, Batch   2656, Loss  0.897703, Average Loss  0.870800, Time  0.169668
2021-09-10 23:56:59.952754 : Epoch  2, Batch   2657, Loss  0.885049, Average Loss  0.871102, Time  0.169859
2021-09-10 23:57:01.584872 : Epoch  2, Batch   2658, Loss  0.868976, Average Loss  0.871089, Time  0.170073
2021-09-10 23:57:03.220001 : Epoch  2, Batch   2659, Loss  0.840702, Average Loss  0.870942, Time  0.169621
2021-09-10 23:57:04.865827 : Epoch  2, Batch   2660, Loss  0.884010, Average Loss  0.870918, Time  0.169707
2021-09-10 23:57:06.498035 : Epoch  2, Batch   2661, Loss  0.878051, Average Loss  0.871092, Time  0.170124
2021-09-10 23:57:08.130014 : Epoch  2, Batch   2662, Loss  0.835567, Average Loss  0.870923, Time  0.169842
2021-09-10 23:57:09.762828 : Epoch  2, Batch   2663, Loss  0.872133, Average Loss  0.870939, Time  0.169796
2021-09-10 23:57:11.422809 : Epoch  2, Batch   2664, Loss  0.900813, Average Loss  0.871029, Time  0.169897
2021-09-10 23:57:13.065754 : Epoch  2, Batch   2665, Loss  0.871972, Average Loss  0.871059, Time  0.169991
2021-09-10 23:57:14.699996 : Epoch  2, Batch   2666, Loss  0.852274, Average Loss  0.871062, Time  0.169589
2021-09-10 23:57:16.316000 : Epoch  2, Batch   2667, Loss  0.835734, Average Loss  0.870713, Time  0.169951
2021-09-10 23:57:17.948840 : Epoch  2, Batch   2668, Loss  0.880212, Average Loss  0.870717, Time  0.169867
2021-09-10 23:57:19.572768 : Epoch  2, Batch   2669, Loss  0.846622, Average Loss  0.870613, Time  0.169688
2021-09-10 23:57:21.189772 : Epoch  2, Batch   2670, Loss  0.867011, Average Loss  0.870545, Time  0.169696
2021-09-10 23:57:22.812800 : Epoch  2, Batch   2671, Loss  0.885326, Average Loss  0.870719, Time  0.169422
2021-09-10 23:57:24.437857 : Epoch  2, Batch   2672, Loss  0.879149, Average Loss  0.870697, Time  0.170263
2021-09-10 23:57:26.056996 : Epoch  2, Batch   2673, Loss  0.889782, Average Loss  0.870679, Time  0.169654
2021-09-10 23:57:27.689998 : Epoch  2, Batch   2674, Loss  0.879976, Average Loss  0.870782, Time  0.169181
2021-09-10 23:57:29.316998 : Epoch  2, Batch   2675, Loss  0.872699, Average Loss  0.870831, Time  0.169817
2021-09-10 23:57:30.963785 : Epoch  2, Batch   2676, Loss  0.860443, Average Loss  0.870658, Time  0.169917
2021-09-10 23:57:32.569981 : Epoch  2, Batch   2677, Loss  0.840785, Average Loss  0.870554, Time  0.169626
2021-09-10 23:57:34.186744 : Epoch  2, Batch   2678, Loss  0.870498, Average Loss  0.870660, Time  0.171629
2021-09-10 23:57:35.803996 : Epoch  2, Batch   2679, Loss  0.856160, Average Loss  0.870544, Time  0.169452
2021-09-10 23:57:37.450835 : Epoch  2, Batch   2680, Loss  0.874498, Average Loss  0.870483, Time  0.169874
2021-09-10 23:57:39.074000 : Epoch  2, Batch   2681, Loss  0.897945, Average Loss  0.870674, Time  0.169700
2021-09-10 23:57:40.694999 : Epoch  2, Batch   2682, Loss  0.868848, Average Loss  0.870811, Time  0.169873
2021-09-10 23:57:42.308997 : Epoch  2, Batch   2683, Loss  0.864361, Average Loss  0.870900, Time  0.169495
2021-09-10 23:57:43.906025 : Epoch  2, Batch   2684, Loss  0.854611, Average Loss  0.870805, Time  0.169746
2021-09-10 23:57:45.518022 : Epoch  2, Batch   2685, Loss  0.851959, Average Loss  0.870731, Time  0.172158
2021-09-10 23:57:47.123918 : Epoch  2, Batch   2686, Loss  0.868875, Average Loss  0.870688, Time  0.169908
2021-09-10 23:57:48.735751 : Epoch  2, Batch   2687, Loss  0.884129, Average Loss  0.870647, Time  0.175839
2021-09-10 23:57:50.337887 : Epoch  2, Batch   2688, Loss  0.886169, Average Loss  0.870579, Time  0.173927
2021-09-10 23:57:51.938029 : Epoch  2, Batch   2689, Loss  0.890307, Average Loss  0.870661, Time  0.170234
2021-09-11 00:02:31.934711 : CheckPoint: Validation Loss  0.00060183, Best Loss  0.00057296
2021-09-11 00:02:33.576895 : Epoch  2, Batch   2690, Loss  0.915044, Average Loss  0.870817, Time  0.184445
2021-09-11 00:02:35.165777 : Epoch  2, Batch   2691, Loss  0.866790, Average Loss  0.870810, Time  0.171478
2021-09-11 00:02:36.749992 : Epoch  2, Batch   2692, Loss  0.866948, Average Loss  0.870896, Time  0.171449
2021-09-11 00:02:38.370007 : Epoch  2, Batch   2693, Loss  0.879396, Average Loss  0.870879, Time  0.172114
2021-09-11 00:02:39.969880 : Epoch  2, Batch   2694, Loss  0.913255, Average Loss  0.870900, Time  0.170276
2021-09-11 00:02:41.583879 : Epoch  2, Batch   2695, Loss  0.902906, Average Loss  0.870948, Time  0.170745
2021-09-11 00:02:43.178025 : Epoch  2, Batch   2696, Loss  0.869992, Average Loss  0.870816, Time  0.170051
2021-09-11 00:02:44.781841 : Epoch  2, Batch   2697, Loss  0.877376, Average Loss  0.871078, Time  0.171184
2021-09-11 00:02:46.368743 : Epoch  2, Batch   2698, Loss  0.888817, Average Loss  0.871145, Time  0.178533
2021-09-11 00:02:47.969784 : Epoch  2, Batch   2699, Loss  0.878589, Average Loss  0.871209, Time  0.169982
2021-09-11 00:02:49.590067 : Epoch  2, Batch   2700, Loss  0.902016, Average Loss  0.871497, Time  0.169953
2021-09-11 00:02:51.210916 : Epoch  2, Batch   2701, Loss  0.892436, Average Loss  0.871517, Time  0.180716
2021-09-11 00:02:52.852016 : Epoch  2, Batch   2702, Loss  0.869838, Average Loss  0.871603, Time  0.172684
2021-09-11 00:02:54.454798 : Epoch  2, Batch   2703, Loss  0.870414, Average Loss  0.871648, Time  0.169944
2021-09-11 00:02:56.097033 : Epoch  2, Batch   2704, Loss  0.863959, Average Loss  0.871451, Time  0.170078
2021-09-11 00:02:57.712849 : Epoch  2, Batch   2705, Loss  0.846036, Average Loss  0.871469, Time  0.171969
2021-09-11 00:02:59.289511 : Epoch  2, Batch   2706, Loss  0.882826, Average Loss  0.871581, Time  0.169724
2021-09-11 00:03:00.924930 : Epoch  2, Batch   2707, Loss  0.893926, Average Loss  0.871585, Time  0.173573
2021-09-11 00:03:02.548926 : Epoch  2, Batch   2708, Loss  0.882949, Average Loss  0.871565, Time  0.174616
2021-09-11 00:03:04.148779 : Epoch  2, Batch   2709, Loss  0.871671, Average Loss  0.871760, Time  0.171037
2021-09-11 00:03:05.786026 : Epoch  2, Batch   2710, Loss  0.880860, Average Loss  0.871791, Time  0.175456
2021-09-11 00:03:07.401743 : Epoch  2, Batch   2711, Loss  0.863056, Average Loss  0.871751, Time  0.171210
2021-09-11 00:03:09.005021 : Epoch  2, Batch   2712, Loss  0.852452, Average Loss  0.871750, Time  0.170661
2021-09-11 00:03:10.614786 : Epoch  2, Batch   2713, Loss  0.874585, Average Loss  0.871734, Time  0.169728
2021-09-11 00:03:12.252028 : Epoch  2, Batch   2714, Loss  0.848455, Average Loss  0.871681, Time  0.178902
2021-09-11 00:03:13.860783 : Epoch  2, Batch   2715, Loss  0.892554, Average Loss  0.871783, Time  0.170598
2021-09-11 00:03:15.459780 : Epoch  2, Batch   2716, Loss  0.876753, Average Loss  0.871846, Time  0.169987
2021-09-11 00:03:17.075910 : Epoch  2, Batch   2717, Loss  0.855830, Average Loss  0.871916, Time  0.170655
2021-09-11 00:03:18.671857 : Epoch  2, Batch   2718, Loss  0.850835, Average Loss  0.871565, Time  0.171553
2021-09-11 00:03:20.276872 : Epoch  2, Batch   2719, Loss  0.862270, Average Loss  0.871438, Time  0.173619
2021-09-11 00:03:21.866780 : Epoch  2, Batch   2720, Loss  0.881992, Average Loss  0.871561, Time  0.170926
2021-09-11 00:03:23.480810 : Epoch  2, Batch   2721, Loss  0.895054, Average Loss  0.871711, Time  0.175119
2021-09-11 00:03:25.092035 : Epoch  2, Batch   2722, Loss  0.876104, Average Loss  0.871869, Time  0.169857
2021-09-11 00:03:26.699042 : Epoch  2, Batch   2723, Loss  0.843219, Average Loss  0.871788, Time  0.169950
2021-09-11 00:03:28.330835 : Epoch  2, Batch   2724, Loss  0.875242, Average Loss  0.871838, Time  0.172825
2021-09-11 00:03:29.935034 : Epoch  2, Batch   2725, Loss  0.871879, Average Loss  0.871840, Time  0.176154
2021-09-11 00:03:31.530023 : Epoch  2, Batch   2726, Loss  0.864155, Average Loss  0.871855, Time  0.170004
2021-09-11 00:03:33.194019 : Epoch  2, Batch   2727, Loss  0.882328, Average Loss  0.872034, Time  0.170020
2021-09-11 00:03:34.825024 : Epoch  2, Batch   2728, Loss  0.867576, Average Loss  0.871881, Time  0.172673
2021-09-11 00:03:36.441028 : Epoch  2, Batch   2729, Loss  0.845035, Average Loss  0.871709, Time  0.170870
2021-09-11 00:03:38.073031 : Epoch  2, Batch   2730, Loss  0.873969, Average Loss  0.871848, Time  0.173708
2021-09-11 00:03:39.677851 : Epoch  2, Batch   2731, Loss  0.888992, Average Loss  0.871952, Time  0.169745
2021-09-11 00:03:41.292846 : Epoch  2, Batch   2732, Loss  0.837499, Average Loss  0.871881, Time  0.170129
2021-09-11 00:03:42.909746 : Epoch  2, Batch   2733, Loss  0.892208, Average Loss  0.872197, Time  0.176904
2021-09-11 00:03:44.508031 : Epoch  2, Batch   2734, Loss  0.856493, Average Loss  0.872115, Time  0.169760
2021-09-11 00:03:46.115027 : Epoch  2, Batch   2735, Loss  0.882133, Average Loss  0.872075, Time  0.176453
2021-09-11 00:03:47.719952 : Epoch  2, Batch   2736, Loss  0.858969, Average Loss  0.871976, Time  0.170983
2021-09-11 00:03:49.324033 : Epoch  2, Batch   2737, Loss  0.889976, Average Loss  0.872118, Time  0.169996
2021-09-11 00:03:50.938843 : Epoch  2, Batch   2738, Loss  0.877854, Average Loss  0.872136, Time  0.176275
2021-09-11 00:03:52.526732 : Epoch  2, Batch   2739, Loss  0.851422, Average Loss  0.872150, Time  0.170749
2021-09-11 00:03:54.142804 : Epoch  2, Batch   2740, Loss  0.872648, Average Loss  0.872035, Time  0.176095
2021-09-11 00:03:55.757733 : Epoch  2, Batch   2741, Loss  0.884273, Average Loss  0.872149, Time  0.170055
2021-09-11 00:03:57.376795 : Epoch  2, Batch   2742, Loss  0.854936, Average Loss  0.872000, Time  0.171760
2021-09-11 00:03:58.974270 : Epoch  2, Batch   2743, Loss  0.891729, Average Loss  0.872072, Time  0.174813
2021-09-11 00:04:00.588027 : Epoch  2, Batch   2744, Loss  0.895911, Average Loss  0.872135, Time  0.194912
2021-09-11 00:04:02.197812 : Epoch  2, Batch   2745, Loss  0.871817, Average Loss  0.872139, Time  0.170827
2021-09-11 00:04:03.823758 : Epoch  2, Batch   2746, Loss  0.872606, Average Loss  0.872164, Time  0.173250
2021-09-11 00:04:05.428014 : Epoch  2, Batch   2747, Loss  0.886318, Average Loss  0.872299, Time  0.169784
2021-09-11 00:04:07.043017 : Epoch  2, Batch   2748, Loss  0.875711, Average Loss  0.872341, Time  0.182733
2021-09-11 00:04:08.627758 : Epoch  2, Batch   2749, Loss  0.847891, Average Loss  0.872199, Time  0.172683
2021-09-11 00:04:10.226929 : Epoch  2, Batch   2750, Loss  0.868150, Average Loss  0.872266, Time  0.177190
2021-09-11 00:04:11.852028 : Epoch  2, Batch   2751, Loss  0.875167, Average Loss  0.872297, Time  0.177132
2021-09-11 00:04:13.454017 : Epoch  2, Batch   2752, Loss  0.865295, Average Loss  0.872288, Time  0.173736
2021-09-11 00:04:15.054807 : Epoch  2, Batch   2753, Loss  0.835029, Average Loss  0.872017, Time  0.177257
2021-09-11 00:04:16.643025 : Epoch  2, Batch   2754, Loss  0.852581, Average Loss  0.872030, Time  0.169626
2021-09-11 00:04:18.230749 : Epoch  2, Batch   2755, Loss  0.871778, Average Loss  0.871994, Time  0.171402
2021-09-11 00:04:19.859775 : Epoch  2, Batch   2756, Loss  0.860678, Average Loss  0.872048, Time  0.179476
2021-09-11 00:04:21.468033 : Epoch  2, Batch   2757, Loss  0.853923, Average Loss  0.871816, Time  0.169677
2021-09-11 00:04:23.082036 : Epoch  2, Batch   2758, Loss  0.866608, Average Loss  0.871927, Time  0.180379
2021-09-11 00:04:24.686762 : Epoch  2, Batch   2759, Loss  0.857414, Average Loss  0.871816, Time  0.170058
2021-09-11 00:04:26.306039 : Epoch  2, Batch   2760, Loss  0.870985, Average Loss  0.871754, Time  0.170023
2021-09-11 00:04:27.929787 : Epoch  2, Batch   2761, Loss  0.876186, Average Loss  0.871646, Time  0.169815
2021-09-11 00:04:29.542975 : Epoch  2, Batch   2762, Loss  0.902868, Average Loss  0.871896, Time  0.173207
2021-09-11 00:04:31.204035 : Epoch  2, Batch   2763, Loss  0.916937, Average Loss  0.872170, Time  0.169968
2021-09-11 00:04:32.824022 : Epoch  2, Batch   2764, Loss  0.859151, Average Loss  0.872185, Time  0.170114
2021-09-11 00:04:34.479013 : Epoch  2, Batch   2765, Loss  0.884716, Average Loss  0.872228, Time  0.175940
2021-09-11 00:04:36.103020 : Epoch  2, Batch   2766, Loss  0.870199, Average Loss  0.872213, Time  0.169620
2021-09-11 00:04:37.761794 : Epoch  2, Batch   2767, Loss  0.860439, Average Loss  0.872159, Time  0.175224
2021-09-11 00:04:39.387029 : Epoch  2, Batch   2768, Loss  0.892191, Average Loss  0.872358, Time  0.178239
2021-09-11 00:04:41.012752 : Epoch  2, Batch   2769, Loss  0.861866, Average Loss  0.872226, Time  0.170907
2021-09-11 00:04:42.621750 : Epoch  2, Batch   2770, Loss  0.854276, Average Loss  0.872078, Time  0.172876
2021-09-11 00:04:44.227796 : Epoch  2, Batch   2771, Loss  0.831611, Average Loss  0.871983, Time  0.172113
2021-09-11 00:04:45.863027 : Epoch  2, Batch   2772, Loss  0.865405, Average Loss  0.871915, Time  0.173504
2021-09-11 00:04:47.485021 : Epoch  2, Batch   2773, Loss  0.857132, Average Loss  0.871916, Time  0.174163
2021-09-11 00:04:49.105039 : Epoch  2, Batch   2774, Loss  0.869206, Average Loss  0.871901, Time  0.175965
2021-09-11 00:04:50.733029 : Epoch  2, Batch   2775, Loss  0.872353, Average Loss  0.871879, Time  0.176874
2021-09-11 00:04:52.344018 : Epoch  2, Batch   2776, Loss  0.843485, Average Loss  0.871631, Time  0.172270
2021-09-11 00:04:53.971765 : Epoch  2, Batch   2777, Loss  0.863387, Average Loss  0.871593, Time  0.172219
2021-09-11 00:04:55.562098 : Epoch  2, Batch   2778, Loss  0.868599, Average Loss  0.871609, Time  0.170392
2021-09-11 00:04:57.156078 : Epoch  2, Batch   2779, Loss  0.873481, Average Loss  0.871513, Time  0.177212
2021-09-11 00:04:58.760669 : Epoch  2, Batch   2780, Loss  0.869673, Average Loss  0.871320, Time  0.176169
2021-09-11 00:05:00.400886 : Epoch  2, Batch   2781, Loss  0.840688, Average Loss  0.871309, Time  0.177073
2021-09-11 00:05:02.013174 : Epoch  2, Batch   2782, Loss  0.852121, Average Loss  0.871200, Time  0.170619
2021-09-11 00:05:03.677747 : Epoch  2, Batch   2783, Loss  0.858886, Average Loss  0.871012, Time  0.172572
2021-09-11 00:05:05.290900 : Epoch  2, Batch   2784, Loss  0.871441, Average Loss  0.871000, Time  0.174696
2021-09-11 00:05:06.899631 : Epoch  2, Batch   2785, Loss  0.885448, Average Loss  0.871073, Time  0.170208
2021-09-11 00:05:08.510025 : Epoch  2, Batch   2786, Loss  0.898155, Average Loss  0.871322, Time  0.170361
2021-09-11 00:05:10.114017 : Epoch  2, Batch   2787, Loss  0.870216, Average Loss  0.871337, Time  0.169969
2021-09-11 00:05:11.758992 : Epoch  2, Batch   2788, Loss  0.867997, Average Loss  0.871247, Time  0.170521
2021-09-11 00:05:13.369038 : Epoch  2, Batch   2789, Loss  0.891464, Average Loss  0.871189, Time  0.175405
2021-09-11 00:09:54.485725 : CheckPoint: Validation Loss  0.00060344, Best Loss  0.00057296
2021-09-11 00:09:56.153940 : Epoch  2, Batch   2790, Loss  0.899505, Average Loss  0.871209, Time  0.177824
2021-09-11 00:09:57.776855 : Epoch  2, Batch   2791, Loss  0.855146, Average Loss  0.871110, Time  0.179467
2021-09-11 00:09:59.365807 : Epoch  2, Batch   2792, Loss  0.846730, Average Loss  0.870989, Time  0.181015
2021-09-11 00:10:00.946770 : Epoch  2, Batch   2793, Loss  0.866348, Average Loss  0.870890, Time  0.170715
2021-09-11 00:10:02.583065 : Epoch  2, Batch   2794, Loss  0.884627, Average Loss  0.870973, Time  0.185227
2021-09-11 00:10:04.212027 : Epoch  2, Batch   2795, Loss  0.892040, Average Loss  0.870974, Time  0.184216
2021-09-11 00:10:05.816780 : Epoch  2, Batch   2796, Loss  0.881376, Average Loss  0.870894, Time  0.173117
2021-09-11 00:10:07.402784 : Epoch  2, Batch   2797, Loss  0.854616, Average Loss  0.870902, Time  0.170922
2021-09-11 00:10:09.033820 : Epoch  2, Batch   2798, Loss  0.901352, Average Loss  0.870941, Time  0.176377
2021-09-11 00:10:10.661923 : Epoch  2, Batch   2799, Loss  0.849201, Average Loss  0.870864, Time  0.172069
2021-09-11 00:10:12.273029 : Epoch  2, Batch   2800, Loss  0.868955, Average Loss  0.870950, Time  0.170143
2021-09-11 00:10:13.873035 : Epoch  2, Batch   2801, Loss  0.893416, Average Loss  0.871183, Time  0.170790
2021-09-11 00:10:15.459021 : Epoch  2, Batch   2802, Loss  0.879232, Average Loss  0.871246, Time  0.171346
2021-09-11 00:10:17.061796 : Epoch  2, Batch   2803, Loss  0.864053, Average Loss  0.871346, Time  0.170484
2021-09-11 00:10:18.680777 : Epoch  2, Batch   2804, Loss  0.877116, Average Loss  0.871507, Time  0.174581
2021-09-11 00:10:20.314018 : Epoch  2, Batch   2805, Loss  0.867307, Average Loss  0.871332, Time  0.180688
2021-09-11 00:10:21.934033 : Epoch  2, Batch   2806, Loss  0.902857, Average Loss  0.871475, Time  0.173911
2021-09-11 00:10:23.577037 : Epoch  2, Batch   2807, Loss  0.854068, Average Loss  0.871362, Time  0.178358
2021-09-11 00:10:25.223033 : Epoch  2, Batch   2808, Loss  0.900443, Average Loss  0.871553, Time  0.171679
2021-09-11 00:10:26.856742 : Epoch  2, Batch   2809, Loss  0.849265, Average Loss  0.871363, Time  0.174649
2021-09-11 00:10:28.589027 : Epoch  2, Batch   2810, Loss  0.872530, Average Loss  0.871313, Time  0.171199
2021-09-11 00:10:30.199035 : Epoch  2, Batch   2811, Loss  0.873782, Average Loss  0.871273, Time  0.176924
2021-09-11 00:10:31.811742 : Epoch  2, Batch   2812, Loss  0.841789, Average Loss  0.871143, Time  0.179466
2021-09-11 00:10:33.420752 : Epoch  2, Batch   2813, Loss  0.882400, Average Loss  0.871321, Time  0.169771
2021-09-11 00:10:35.030019 : Epoch  2, Batch   2814, Loss  0.847502, Average Loss  0.871137, Time  0.171484
2021-09-11 00:10:36.648041 : Epoch  2, Batch   2815, Loss  0.847166, Average Loss  0.871216, Time  0.169861
2021-09-11 00:10:38.272024 : Epoch  2, Batch   2816, Loss  0.847520, Average Loss  0.871016, Time  0.170835
2021-09-11 00:10:39.884067 : Epoch  2, Batch   2817, Loss  0.889462, Average Loss  0.870922, Time  0.172493
2021-09-11 00:10:41.496043 : Epoch  2, Batch   2818, Loss  0.842662, Average Loss  0.870727, Time  0.175313
2021-09-11 00:10:43.105028 : Epoch  2, Batch   2819, Loss  0.894872, Average Loss  0.870796, Time  0.170962
2021-09-11 00:10:44.713030 : Epoch  2, Batch   2820, Loss  0.871909, Average Loss  0.870781, Time  0.175302
2021-09-11 00:10:46.320664 : Epoch  2, Batch   2821, Loss  0.889796, Average Loss  0.870938, Time  0.169752
2021-09-11 00:10:47.922026 : Epoch  2, Batch   2822, Loss  0.854364, Average Loss  0.870822, Time  0.169360
2021-09-11 00:10:49.530776 : Epoch  2, Batch   2823, Loss  0.853400, Average Loss  0.870710, Time  0.170236
2021-09-11 00:10:51.149854 : Epoch  2, Batch   2824, Loss  0.871897, Average Loss  0.870771, Time  0.173691
2021-09-11 00:10:52.757758 : Epoch  2, Batch   2825, Loss  0.854491, Average Loss  0.870726, Time  0.175290
2021-09-11 00:10:54.396031 : Epoch  2, Batch   2826, Loss  0.855427, Average Loss  0.870765, Time  0.175507
2021-09-11 00:10:56.093737 : Epoch  2, Batch   2827, Loss  0.884309, Average Loss  0.870781, Time  0.169810
2021-09-11 00:10:57.709041 : Epoch  2, Batch   2828, Loss  0.863039, Average Loss  0.870656, Time  0.169611
2021-09-11 00:10:59.308854 : Epoch  2, Batch   2829, Loss  0.887701, Average Loss  0.870641, Time  0.169988
2021-09-11 00:11:00.926768 : Epoch  2, Batch   2830, Loss  0.866498, Average Loss  0.870519, Time  0.171690
2021-09-11 00:11:02.543705 : Epoch  2, Batch   2831, Loss  0.888361, Average Loss  0.870640, Time  0.179092
2021-09-11 00:11:04.130588 : Epoch  2, Batch   2832, Loss  0.870570, Average Loss  0.870560, Time  0.169758
2021-09-11 00:11:05.752825 : Epoch  2, Batch   2833, Loss  0.864520, Average Loss  0.870437, Time  0.175511
2021-09-11 00:11:07.348018 : Epoch  2, Batch   2834, Loss  0.863180, Average Loss  0.870282, Time  0.169834
2021-09-11 00:11:08.966772 : Epoch  2, Batch   2835, Loss  0.840231, Average Loss  0.870243, Time  0.176003
2021-09-11 00:11:10.580020 : Epoch  2, Batch   2836, Loss  0.894258, Average Loss  0.870387, Time  0.172627
2021-09-11 00:11:12.192742 : Epoch  2, Batch   2837, Loss  0.891733, Average Loss  0.870576, Time  0.179273
2021-09-11 00:11:13.810039 : Epoch  2, Batch   2838, Loss  0.896675, Average Loss  0.870791, Time  0.175858
2021-09-11 00:11:15.427798 : Epoch  2, Batch   2839, Loss  0.871095, Average Loss  0.870840, Time  0.171645
2021-09-11 00:11:17.041800 : Epoch  2, Batch   2840, Loss  0.849307, Average Loss  0.870822, Time  0.169771
2021-09-11 00:11:18.684028 : Epoch  2, Batch   2841, Loss  0.867888, Average Loss  0.870956, Time  0.173508
2021-09-11 00:11:20.307031 : Epoch  2, Batch   2842, Loss  0.891275, Average Loss  0.871046, Time  0.169794
2021-09-11 00:11:21.927810 : Epoch  2, Batch   2843, Loss  0.851817, Average Loss  0.870927, Time  0.183437
2021-09-11 00:11:23.521851 : Epoch  2, Batch   2844, Loss  0.864529, Average Loss  0.870782, Time  0.169756
2021-09-11 00:11:25.134858 : Epoch  2, Batch   2845, Loss  0.846253, Average Loss  0.870550, Time  0.169679
2021-09-11 00:11:26.784024 : Epoch  2, Batch   2846, Loss  0.885482, Average Loss  0.870712, Time  0.176064
2021-09-11 00:11:28.416812 : Epoch  2, Batch   2847, Loss  0.864099, Average Loss  0.870703, Time  0.172793
2021-09-11 00:11:30.032023 : Epoch  2, Batch   2848, Loss  0.863268, Average Loss  0.870733, Time  0.172899
2021-09-11 00:11:31.646022 : Epoch  2, Batch   2849, Loss  0.871293, Average Loss  0.870826, Time  0.170317
2021-09-11 00:11:33.269027 : Epoch  2, Batch   2850, Loss  0.870115, Average Loss  0.870925, Time  0.173007
2021-09-11 00:11:34.882021 : Epoch  2, Batch   2851, Loss  0.839372, Average Loss  0.870692, Time  0.173705
2021-09-11 00:11:36.466699 : Epoch  2, Batch   2852, Loss  0.889236, Average Loss  0.870921, Time  0.169706
2021-09-11 00:11:38.088956 : Epoch  2, Batch   2853, Loss  0.861463, Average Loss  0.870883, Time  0.172327
2021-09-11 00:11:39.710853 : Epoch  2, Batch   2854, Loss  0.858699, Average Loss  0.870706, Time  0.174936
2021-09-11 00:11:41.338020 : Epoch  2, Batch   2855, Loss  0.867185, Average Loss  0.870807, Time  0.185976
2021-09-11 00:11:42.936052 : Epoch  2, Batch   2856, Loss  0.860836, Average Loss  0.870623, Time  0.172697
2021-09-11 00:11:44.527281 : Epoch  2, Batch   2857, Loss  0.854268, Average Loss  0.870469, Time  0.169952
2021-09-11 00:11:46.120775 : Epoch  2, Batch   2858, Loss  0.871754, Average Loss  0.870483, Time  0.170046
2021-09-11 00:11:47.747783 : Epoch  2, Batch   2859, Loss  0.821552, Average Loss  0.870387, Time  0.170718
2021-09-11 00:11:49.374030 : Epoch  2, Batch   2860, Loss  0.876925, Average Loss  0.870351, Time  0.171088
2021-09-11 00:11:51.009026 : Epoch  2, Batch   2861, Loss  0.884947, Average Loss  0.870386, Time  0.173157
2021-09-11 00:11:52.625024 : Epoch  2, Batch   2862, Loss  0.868801, Average Loss  0.870552, Time  0.170595
2021-09-11 00:11:54.232025 : Epoch  2, Batch   2863, Loss  0.884572, Average Loss  0.870614, Time  0.169888
2021-09-11 00:11:55.850032 : Epoch  2, Batch   2864, Loss  0.878388, Average Loss  0.870502, Time  0.176415
2021-09-11 00:11:57.485068 : Epoch  2, Batch   2865, Loss  0.859178, Average Loss  0.870438, Time  0.173794
2021-09-11 00:11:59.088869 : Epoch  2, Batch   2866, Loss  0.848372, Average Loss  0.870419, Time  0.171657
2021-09-11 00:12:00.686908 : Epoch  2, Batch   2867, Loss  0.864500, Average Loss  0.870562, Time  0.169722
2021-09-11 00:12:02.293744 : Epoch  2, Batch   2868, Loss  0.871433, Average Loss  0.870519, Time  0.176356
2021-09-11 00:12:03.915854 : Epoch  2, Batch   2869, Loss  0.872595, Average Loss  0.870648, Time  0.173356
2021-09-11 00:12:05.529178 : Epoch  2, Batch   2870, Loss  0.897165, Average Loss  0.870799, Time  0.169915
2021-09-11 00:12:07.139040 : Epoch  2, Batch   2871, Loss  0.849687, Average Loss  0.870621, Time  0.170129
2021-09-11 00:12:08.729703 : Epoch  2, Batch   2872, Loss  0.854819, Average Loss  0.870499, Time  0.169745
2021-09-11 00:12:10.322030 : Epoch  2, Batch   2873, Loss  0.884366, Average Loss  0.870472, Time  0.172194
2021-09-11 00:12:11.919002 : Epoch  2, Batch   2874, Loss  0.834882, Average Loss  0.870247, Time  0.177486
2021-09-11 00:12:13.523036 : Epoch  2, Batch   2875, Loss  0.871640, Average Loss  0.870241, Time  0.169997
2021-09-11 00:12:15.127029 : Epoch  2, Batch   2876, Loss  0.865926, Average Loss  0.870269, Time  0.177984
2021-09-11 00:12:16.713831 : Epoch  2, Batch   2877, Loss  0.843642, Average Loss  0.870283, Time  0.173780
2021-09-11 00:12:18.324034 : Epoch  2, Batch   2878, Loss  0.851064, Average Loss  0.870186, Time  0.174234
2021-09-11 00:12:19.968801 : Epoch  2, Batch   2879, Loss  0.863190, Average Loss  0.870221, Time  0.194667
2021-09-11 00:12:21.567742 : Epoch  2, Batch   2880, Loss  0.870888, Average Loss  0.870203, Time  0.173433
2021-09-11 00:12:23.203029 : Epoch  2, Batch   2881, Loss  0.883899, Average Loss  0.870133, Time  0.178899
2021-09-11 00:12:24.811028 : Epoch  2, Batch   2882, Loss  0.869088, Average Loss  0.870134, Time  0.173379
2021-09-11 00:12:26.402030 : Epoch  2, Batch   2883, Loss  0.854806, Average Loss  0.870086, Time  0.170346
2021-09-11 00:12:28.038033 : Epoch  2, Batch   2884, Loss  0.841083, Average Loss  0.870019, Time  0.178514
2021-09-11 00:12:29.636028 : Epoch  2, Batch   2885, Loss  0.875148, Average Loss  0.870135, Time  0.169573
2021-09-11 00:12:31.250742 : Epoch  2, Batch   2886, Loss  0.896889, Average Loss  0.870275, Time  0.173346
2021-09-11 00:12:32.982814 : Epoch  2, Batch   2887, Loss  0.858241, Average Loss  0.870145, Time  0.170081
2021-09-11 00:12:34.604995 : Epoch  2, Batch   2888, Loss  0.841830, Average Loss  0.869924, Time  0.169625
2021-09-11 00:12:36.225750 : Epoch  2, Batch   2889, Loss  0.891448, Average Loss  0.869929, Time  0.169679
2021-09-11 00:17:16.709713 : CheckPoint: Validation Loss  0.00062090, Best Loss  0.00057296
2021-09-11 00:17:18.413911 : Epoch  2, Batch   2890, Loss  0.865727, Average Loss  0.869683, Time  0.176649
2021-09-11 00:17:20.027001 : Epoch  2, Batch   2891, Loss  0.896482, Average Loss  0.869831, Time  0.170599
2021-09-11 00:17:21.633999 : Epoch  2, Batch   2892, Loss  0.877743, Average Loss  0.869885, Time  0.169989
2021-09-11 00:17:23.244801 : Epoch  2, Batch   2893, Loss  0.889535, Average Loss  0.869936, Time  0.169708
2021-09-11 00:17:24.871013 : Epoch  2, Batch   2894, Loss  0.865416, Average Loss  0.869697, Time  0.174516
2021-09-11 00:17:26.504063 : Epoch  2, Batch   2895, Loss  0.887875, Average Loss  0.869621, Time  0.170166
2021-09-11 00:17:28.128039 : Epoch  2, Batch   2896, Loss  0.868675, Average Loss  0.869615, Time  0.184158
2021-09-11 00:17:29.740032 : Epoch  2, Batch   2897, Loss  0.858103, Average Loss  0.869518, Time  0.173111
2021-09-11 00:17:31.328029 : Epoch  2, Batch   2898, Loss  0.875644, Average Loss  0.869453, Time  0.170620
2021-09-11 00:17:32.922767 : Epoch  2, Batch   2899, Loss  0.867126, Average Loss  0.869395, Time  0.175227
2021-09-11 00:17:34.530628 : Epoch  2, Batch   2900, Loss  0.900091, Average Loss  0.869386, Time  0.169943
2021-09-11 00:17:36.132033 : Epoch  2, Batch   2901, Loss  0.868931, Average Loss  0.869268, Time  0.170101
2021-09-11 00:17:37.743709 : Epoch  2, Batch   2902, Loss  0.865370, Average Loss  0.869246, Time  0.179193
2021-09-11 00:17:39.362023 : Epoch  2, Batch   2903, Loss  0.866187, Average Loss  0.869225, Time  0.174120
2021-09-11 00:17:40.988027 : Epoch  2, Batch   2904, Loss  0.886592, Average Loss  0.869338, Time  0.169983
2021-09-11 00:17:42.591037 : Epoch  2, Batch   2905, Loss  0.870772, Average Loss  0.869462, Time  0.170757
2021-09-11 00:17:44.240024 : Epoch  2, Batch   2906, Loss  0.872498, Average Loss  0.869410, Time  0.173311
2021-09-11 00:17:45.925810 : Epoch  2, Batch   2907, Loss  0.856812, Average Loss  0.869224, Time  0.170046
2021-09-11 00:17:47.609074 : Epoch  2, Batch   2908, Loss  0.845486, Average Loss  0.869037, Time  0.174589
2021-09-11 00:17:49.243035 : Epoch  2, Batch   2909, Loss  0.877571, Average Loss  0.869066, Time  0.175838
2021-09-11 00:17:50.884089 : Epoch  2, Batch   2910, Loss  0.882485, Average Loss  0.869075, Time  0.183122
2021-09-11 00:17:52.540037 : Epoch  2, Batch   2911, Loss  0.855232, Average Loss  0.869036, Time  0.169924
2021-09-11 00:17:54.155034 : Epoch  2, Batch   2912, Loss  0.869299, Average Loss  0.869120, Time  0.171735
2021-09-11 00:17:55.771030 : Epoch  2, Batch   2913, Loss  0.864492, Average Loss  0.869069, Time  0.173897
2021-09-11 00:17:57.396789 : Epoch  2, Batch   2914, Loss  0.881542, Average Loss  0.869235, Time  0.172185
2021-09-11 00:17:59.012127 : Epoch  2, Batch   2915, Loss  0.857735, Average Loss  0.869061, Time  0.174030
2021-09-11 00:18:00.618031 : Epoch  2, Batch   2916, Loss  0.849724, Average Loss  0.868925, Time  0.171409
2021-09-11 00:18:02.231029 : Epoch  2, Batch   2917, Loss  0.880800, Average Loss  0.869050, Time  0.170257
2021-09-11 00:18:03.862010 : Epoch  2, Batch   2918, Loss  0.870980, Average Loss  0.869151, Time  0.187380
2021-09-11 00:18:05.486035 : Epoch  2, Batch   2919, Loss  0.885959, Average Loss  0.869269, Time  0.171257
2021-09-11 00:18:07.104793 : Epoch  2, Batch   2920, Loss  0.861630, Average Loss  0.869168, Time  0.172776
2021-09-11 00:18:08.716752 : Epoch  2, Batch   2921, Loss  0.913109, Average Loss  0.869258, Time  0.169742
2021-09-11 00:18:10.313732 : Epoch  2, Batch   2922, Loss  0.857074, Average Loss  0.869163, Time  0.170032
2021-09-11 00:18:11.940040 : Epoch  2, Batch   2923, Loss  0.849097, Average Loss  0.869192, Time  0.178374
2021-09-11 00:18:13.584084 : Epoch  2, Batch   2924, Loss  0.837870, Average Loss  0.869005, Time  0.169873
2021-09-11 00:18:15.221435 : Epoch  2, Batch   2925, Loss  0.890505, Average Loss  0.869098, Time  0.182718
2021-09-11 00:18:16.875787 : Epoch  2, Batch   2926, Loss  0.865912, Average Loss  0.869107, Time  0.178288
2021-09-11 00:18:18.514731 : Epoch  2, Batch   2927, Loss  0.875135, Average Loss  0.869071, Time  0.175856
2021-09-11 00:18:20.129039 : Epoch  2, Batch   2928, Loss  0.885721, Average Loss  0.869162, Time  0.171807
2021-09-11 00:18:21.740829 : Epoch  2, Batch   2929, Loss  0.870150, Average Loss  0.869288, Time  0.170405
2021-09-11 00:18:23.366071 : Epoch  2, Batch   2930, Loss  0.882966, Average Loss  0.869333, Time  0.169540
2021-09-11 00:18:24.986911 : Epoch  2, Batch   2931, Loss  0.894246, Average Loss  0.869359, Time  0.173033
2021-09-11 00:18:26.622878 : Epoch  2, Batch   2932, Loss  0.896310, Average Loss  0.869653, Time  0.175011
2021-09-11 00:18:28.251741 : Epoch  2, Batch   2933, Loss  0.850170, Average Loss  0.869443, Time  0.176785
2021-09-11 00:18:29.895033 : Epoch  2, Batch   2934, Loss  0.875821, Average Loss  0.869539, Time  0.174446
2021-09-11 00:18:31.528778 : Epoch  2, Batch   2935, Loss  0.877415, Average Loss  0.869516, Time  0.175574
2021-09-11 00:18:33.178906 : Epoch  2, Batch   2936, Loss  0.861899, Average Loss  0.869530, Time  0.169821
2021-09-11 00:18:34.789751 : Epoch  2, Batch   2937, Loss  0.862100, Average Loss  0.869391, Time  0.169917
2021-09-11 00:18:36.416028 : Epoch  2, Batch   2938, Loss  0.853570, Average Loss  0.869270, Time  0.169517
2021-09-11 00:18:38.044796 : Epoch  2, Batch   2939, Loss  0.878775, Average Loss  0.869406, Time  0.170095
2021-09-11 00:18:39.704034 : Epoch  2, Batch   2940, Loss  0.878913, Average Loss  0.869438, Time  0.185843
2021-09-11 00:18:41.347942 : Epoch  2, Batch   2941, Loss  0.894680, Average Loss  0.869490, Time  0.182548
2021-09-11 00:18:42.981030 : Epoch  2, Batch   2942, Loss  0.856741, Average Loss  0.869499, Time  0.169561
2021-09-11 00:18:44.629885 : Epoch  2, Batch   2943, Loss  0.872696, Average Loss  0.869404, Time  0.193367
2021-09-11 00:18:46.253813 : Epoch  2, Batch   2944, Loss  0.876600, Average Loss  0.869307, Time  0.170335
2021-09-11 00:18:47.922883 : Epoch  2, Batch   2945, Loss  0.853337, Average Loss  0.869215, Time  0.179065
2021-09-11 00:18:49.547046 : Epoch  2, Batch   2946, Loss  0.888125, Average Loss  0.869292, Time  0.178893
2021-09-11 00:18:51.169890 : Epoch  2, Batch   2947, Loss  0.866621, Average Loss  0.869194, Time  0.179971
2021-09-11 00:18:52.777027 : Epoch  2, Batch   2948, Loss  0.871523, Average Loss  0.869173, Time  0.169784
2021-09-11 00:18:54.389757 : Epoch  2, Batch   2949, Loss  0.869510, Average Loss  0.869281, Time  0.173460
2021-09-11 00:18:56.019048 : Epoch  2, Batch   2950, Loss  0.873407, Average Loss  0.869307, Time  0.170192
2021-09-11 00:18:57.657744 : Epoch  2, Batch   2951, Loss  0.864107, Average Loss  0.869252, Time  0.169967
2021-09-11 00:18:59.275041 : Epoch  2, Batch   2952, Loss  0.876299, Average Loss  0.869307, Time  0.174251
2021-09-11 00:19:00.890027 : Epoch  2, Batch   2953, Loss  0.835679, Average Loss  0.869310, Time  0.173092
2021-09-11 00:19:02.486863 : Epoch  2, Batch   2954, Loss  0.849486, Average Loss  0.869295, Time  0.173778
2021-09-11 00:19:04.103868 : Epoch  2, Batch   2955, Loss  0.865490, Average Loss  0.869263, Time  0.173265
2021-09-11 00:19:05.751791 : Epoch  2, Batch   2956, Loss  0.867882, Average Loss  0.869299, Time  0.177385
2021-09-11 00:19:07.385030 : Epoch  2, Batch   2957, Loss  0.886737, Average Loss  0.869463, Time  0.186344
2021-09-11 00:19:09.014003 : Epoch  2, Batch   2958, Loss  0.859179, Average Loss  0.869426, Time  0.169966
2021-09-11 00:19:10.644003 : Epoch  2, Batch   2959, Loss  0.884029, Average Loss  0.869559, Time  0.169638
2021-09-11 00:19:12.269996 : Epoch  2, Batch   2960, Loss  0.876055, Average Loss  0.869585, Time  0.169272
2021-09-11 00:19:13.897991 : Epoch  2, Batch   2961, Loss  0.862193, Average Loss  0.869515, Time  0.169506
2021-09-11 00:19:15.533938 : Epoch  2, Batch   2962, Loss  0.903361, Average Loss  0.869517, Time  0.169574
2021-09-11 00:19:17.204313 : Epoch  2, Batch   2963, Loss  0.884687, Average Loss  0.869356, Time  0.169715
2021-09-11 00:19:18.834744 : Epoch  2, Batch   2964, Loss  0.855697, Average Loss  0.869339, Time  0.169400
2021-09-11 00:19:20.459822 : Epoch  2, Batch   2965, Loss  0.891701, Average Loss  0.869374, Time  0.169741
2021-09-11 00:19:22.090744 : Epoch  2, Batch   2966, Loss  0.867726, Average Loss  0.869361, Time  0.169522
2021-09-11 00:19:23.731755 : Epoch  2, Batch   2967, Loss  0.867478, Average Loss  0.869396, Time  0.172188
2021-09-11 00:19:25.369001 : Epoch  2, Batch   2968, Loss  0.866578, Average Loss  0.869268, Time  0.172074
2021-09-11 00:19:27.007747 : Epoch  2, Batch   2969, Loss  0.876426, Average Loss  0.869341, Time  0.169670
2021-09-11 00:19:28.635844 : Epoch  2, Batch   2970, Loss  0.853712, Average Loss  0.869338, Time  0.169656
2021-09-11 00:19:30.268006 : Epoch  2, Batch   2971, Loss  0.876445, Average Loss  0.869562, Time  0.170185
2021-09-11 00:19:31.895978 : Epoch  2, Batch   2972, Loss  0.869408, Average Loss  0.869582, Time  0.169549
2021-09-11 00:19:33.536741 : Epoch  2, Batch   2973, Loss  0.883480, Average Loss  0.869714, Time  0.171800
2021-09-11 00:19:35.157829 : Epoch  2, Batch   2974, Loss  0.861046, Average Loss  0.869673, Time  0.178759
2021-09-11 00:19:36.774793 : Epoch  2, Batch   2975, Loss  0.867783, Average Loss  0.869651, Time  0.171972
2021-09-11 00:19:38.392016 : Epoch  2, Batch   2976, Loss  0.865615, Average Loss  0.869761, Time  0.172760
2021-09-11 00:19:40.006845 : Epoch  2, Batch   2977, Loss  0.864422, Average Loss  0.869766, Time  0.169819
2021-09-11 00:19:41.631925 : Epoch  2, Batch   2978, Loss  0.872673, Average Loss  0.869787, Time  0.169881
2021-09-11 00:19:43.275791 : Epoch  2, Batch   2979, Loss  0.871838, Average Loss  0.869779, Time  0.169397
2021-09-11 00:19:44.899753 : Epoch  2, Batch   2980, Loss  0.893371, Average Loss  0.869897, Time  0.169842
2021-09-11 00:19:46.532830 : Epoch  2, Batch   2981, Loss  0.891396, Average Loss  0.870151, Time  0.169611
2021-09-11 00:19:48.213916 : Epoch  2, Batch   2982, Loss  0.877951, Average Loss  0.870280, Time  0.169571
2021-09-11 00:19:49.873736 : Epoch  2, Batch   2983, Loss  0.875772, Average Loss  0.870364, Time  0.169714
2021-09-11 00:19:51.495790 : Epoch  2, Batch   2984, Loss  0.867271, Average Loss  0.870343, Time  0.169771
2021-09-11 00:19:53.147769 : Epoch  2, Batch   2985, Loss  0.842954, Average Loss  0.870131, Time  0.169391
2021-09-11 00:19:54.795743 : Epoch  2, Batch   2986, Loss  0.859305, Average Loss  0.869937, Time  0.169765
2021-09-11 00:19:56.427879 : Epoch  2, Batch   2987, Loss  0.871116, Average Loss  0.869941, Time  0.169424
2021-09-11 00:19:58.061997 : Epoch  2, Batch   2988, Loss  0.881160, Average Loss  0.870007, Time  0.169498
2021-09-11 00:19:59.694821 : Epoch  2, Batch   2989, Loss  0.857354, Average Loss  0.869836, Time  0.169613
2021-09-11 00:20:44.891709 : Building dataset train from orignial text documents
2021-09-11 00:21:12.205603 : Finish Loading dataset train
2021-09-11 00:21:12.257552 : Data Shuffle
2021-09-11 00:21:12.308546 : Start Shuffling
2021-09-11 00:21:13.413055 : Finish Shuffling
2021-09-11 00:21:13.512632 : Generate Batch
2021-09-11 00:21:13.880650 : Building dataset valid from orignial text documents
2021-09-11 00:21:15.128589 : Finish Loading dataset valid
2021-09-11 00:21:15.181581 : Data Shuffle
2021-09-11 00:21:15.231565 : Start Shuffling
2021-09-11 00:21:15.336589 : Finish Shuffling
2021-09-11 00:21:15.399587 : Generate Batch
2021-09-11 00:21:15.462628 : There are 787 batches per epoch
2021-09-11 00:21:15.516627 : Batch Shuffled
2021-09-11 00:24:40.694713 : CheckPoint: Validation Loss  0.00059670, Best Loss  0.00057296
2021-09-11 00:24:42.339836 : Epoch  2, Batch   2990, Loss  0.876729, Average Loss  0.869722, Time  0.177715
2021-09-11 00:24:43.962742 : Epoch  2, Batch   2991, Loss  0.890126, Average Loss  0.869897, Time  0.170207
2021-09-11 00:24:45.557854 : Epoch  2, Batch   2992, Loss  0.885487, Average Loss  0.870091, Time  0.170355
2021-09-11 00:24:47.184877 : Epoch  2, Batch   2993, Loss  0.885226, Average Loss  0.870186, Time  0.170218
2021-09-11 00:24:48.829992 : Epoch  2, Batch   2994, Loss  0.854709, Average Loss  0.870036, Time  0.169537
2021-09-11 00:24:50.446883 : Epoch  2, Batch   2995, Loss  0.875237, Average Loss  0.869952, Time  0.169468
2021-09-11 00:24:52.091990 : Epoch  2, Batch   2996, Loss  0.869294, Average Loss  0.869892, Time  0.171996
2021-09-11 00:24:53.729803 : Epoch  2, Batch   2997, Loss  0.873218, Average Loss  0.869985, Time  0.169799
2021-09-11 00:24:55.375787 : Epoch  2, Batch   2998, Loss  0.859428, Average Loss  0.869775, Time  0.169717
2021-09-11 00:24:57.005000 : Epoch  2, Batch   2999, Loss  0.857895, Average Loss  0.869818, Time  0.169546
2021-09-11 00:24:58.626744 : Epoch  2, Batch   3000, Loss  0.840748, Average Loss  0.869677, Time  0.169686
2021-09-11 00:24:59.423786 : Building dataset train from orignial text documents
2021-09-11 00:25:00.286001 : Epoch  2, Batch   3001, Loss  0.887993, Average Loss  0.869650, Time  0.169764
2021-09-11 00:25:01.907022 : Epoch  2, Batch   3002, Loss  0.845310, Average Loss  0.869481, Time  0.182279
2021-09-11 00:25:03.536754 : Epoch  2, Batch   3003, Loss  0.885772, Average Loss  0.869589, Time  0.173569
2021-09-11 00:25:05.151028 : Epoch  2, Batch   3004, Loss  0.896334, Average Loss  0.869685, Time  0.170015
2021-09-11 00:25:06.771029 : Epoch  2, Batch   3005, Loss  0.853765, Average Loss  0.869618, Time  0.174802
2021-09-11 00:25:08.405020 : Epoch  2, Batch   3006, Loss  0.834507, Average Loss  0.869276, Time  0.170070
2021-09-11 00:25:10.041031 : Epoch  2, Batch   3007, Loss  0.869587, Average Loss  0.869353, Time  0.170298
2021-09-11 00:25:11.666883 : Epoch  2, Batch   3008, Loss  0.870147, Average Loss  0.869202, Time  0.174076
2021-09-11 00:25:13.313745 : Epoch  2, Batch   3009, Loss  0.873790, Average Loss  0.869325, Time  0.172781
2021-09-11 00:25:14.947736 : Epoch  2, Batch   3010, Loss  0.870861, Average Loss  0.869316, Time  0.169932
2021-09-11 00:25:16.585025 : Epoch  2, Batch   3011, Loss  0.874178, Average Loss  0.869318, Time  0.174996
2021-09-11 00:25:18.196781 : Epoch  2, Batch   3012, Loss  0.867796, Average Loss  0.869448, Time  0.170439
2021-09-11 00:25:19.822750 : Epoch  2, Batch   3013, Loss  0.896549, Average Loss  0.869519, Time  0.170152
2021-09-11 00:25:21.454013 : Epoch  2, Batch   3014, Loss  0.864442, Average Loss  0.869604, Time  0.173913
2021-09-11 00:25:23.057031 : Epoch  2, Batch   3015, Loss  0.916456, Average Loss  0.869950, Time  0.169953
2021-09-11 00:25:24.670038 : Epoch  2, Batch   3016, Loss  0.853558, Average Loss  0.869980, Time  0.171725
2021-09-11 00:25:26.288734 : Epoch  2, Batch   3017, Loss  0.883803, Average Loss  0.869952, Time  0.174249
2021-09-11 00:25:27.939030 : Epoch  2, Batch   3018, Loss  0.871418, Average Loss  0.870096, Time  0.174898
2021-09-11 00:25:29.587835 : Epoch  2, Batch   3019, Loss  0.873107, Average Loss  0.869987, Time  0.182703
2021-09-11 00:25:29.791709 : Finish Loading dataset train
2021-09-11 00:25:29.849564 : Data Shuffle
2021-09-11 00:25:29.890564 : Start Shuffling
2021-09-11 00:25:31.088713 : Finish Shuffling
2021-09-11 00:25:31.200022 : Epoch  2, Batch   3020, Loss  0.868060, Average Loss  0.869968, Time  0.172191
2021-09-11 00:25:31.671640 : Building dataset valid from orignial text documents
2021-09-11 00:25:32.848037 : Epoch  2, Batch   3021, Loss  0.870261, Average Loss  0.869870, Time  0.176121
2021-09-11 00:25:32.941618 : Finish Loading dataset valid
2021-09-11 00:25:33.006597 : Data Shuffle
2021-09-11 00:25:33.055578 : Start Shuffling
2021-09-11 00:25:33.162588 : Finish Shuffling
2021-09-11 00:25:33.208585 : Generate Batch
2021-09-11 00:25:33.281308 : There are 787 batches per epoch
2021-09-11 00:25:33.324609 : Batch Shuffled
2021-09-11 00:25:34.462756 : Epoch  2, Batch   3022, Loss  0.878347, Average Loss  0.869990, Time  0.170655
2021-09-11 00:25:36.089021 : Epoch  2, Batch   3023, Loss  0.855317, Average Loss  0.870000, Time  0.169961
2021-09-11 00:25:37.740814 : Epoch  2, Batch   3024, Loss  0.866437, Average Loss  0.869972, Time  0.170040
2021-09-11 00:25:39.384789 : Epoch  2, Batch   3025, Loss  0.839703, Average Loss  0.869898, Time  0.177214
2021-09-11 00:25:41.062797 : Epoch  2, Batch   3026, Loss  0.880465, Average Loss  0.870024, Time  0.169835
2021-09-11 00:25:42.691027 : Epoch  2, Batch   3027, Loss  0.868588, Average Loss  0.869945, Time  0.177297
2021-09-11 00:25:44.300761 : Epoch  2, Batch   3028, Loss  0.881634, Average Loss  0.870038, Time  0.169734
2021-09-11 00:25:45.913002 : Epoch  2, Batch   3029, Loss  0.866933, Average Loss  0.869934, Time  0.169845
2021-09-11 00:25:47.518021 : Epoch  2, Batch   3030, Loss  0.882987, Average Loss  0.870017, Time  0.172870
2021-09-11 00:25:49.128006 : Epoch  2, Batch   3031, Loss  0.898301, Average Loss  0.870066, Time  0.169760
2021-09-11 00:25:50.761843 : Epoch  2, Batch   3032, Loss  0.845130, Average Loss  0.869939, Time  0.169335
2021-09-11 00:25:52.381989 : Epoch  2, Batch   3033, Loss  0.870127, Average Loss  0.869967, Time  0.171365
2021-09-11 00:25:54.021002 : Epoch  2, Batch   3034, Loss  0.877839, Average Loss  0.870040, Time  0.169764
2021-09-11 00:25:55.640015 : Epoch  2, Batch   3035, Loss  0.864957, Average Loss  0.870164, Time  0.170355
2021-09-11 00:25:57.266745 : Epoch  2, Batch   3036, Loss  0.846694, Average Loss  0.869926, Time  0.178584
2021-09-11 00:25:58.903050 : Epoch  2, Batch   3037, Loss  0.897604, Average Loss  0.869956, Time  0.179477
2021-09-11 00:26:00.531841 : Epoch  2, Batch   3038, Loss  0.857835, Average Loss  0.869761, Time  0.177009
2021-09-11 00:26:02.157022 : Epoch  2, Batch   3039, Loss  0.837781, Average Loss  0.869595, Time  0.173367
2021-09-11 00:26:03.793076 : Epoch  2, Batch   3040, Loss  0.861000, Average Loss  0.869653, Time  0.183813
2021-09-11 00:26:05.417026 : Epoch  2, Batch   3041, Loss  0.849479, Average Loss  0.869561, Time  0.173544
2021-09-11 00:26:07.023012 : Epoch  2, Batch   3042, Loss  0.871815, Average Loss  0.869464, Time  0.171327
2021-09-11 00:26:08.652996 : Epoch  2, Batch   3043, Loss  0.871928, Average Loss  0.869564, Time  0.172014
2021-09-11 00:26:10.286005 : Epoch  2, Batch   3044, Loss  0.870183, Average Loss  0.869593, Time  0.169839
2021-09-11 00:26:11.907997 : Epoch  2, Batch   3045, Loss  0.884094, Average Loss  0.869782, Time  0.169821
2021-09-11 00:26:13.546820 : Epoch  2, Batch   3046, Loss  0.866963, Average Loss  0.869689, Time  0.172169
2021-09-11 00:26:15.162817 : Epoch  2, Batch   3047, Loss  0.848687, Average Loss  0.869612, Time  0.169775
2021-09-11 00:26:16.803007 : Epoch  2, Batch   3048, Loss  0.865620, Average Loss  0.869624, Time  0.169535
2021-09-11 00:26:18.420996 : Epoch  2, Batch   3049, Loss  0.864997, Average Loss  0.869593, Time  0.169584
2021-09-11 00:26:20.045803 : Epoch  2, Batch   3050, Loss  0.895463, Average Loss  0.869719, Time  0.169975
2021-09-11 00:26:21.681929 : Epoch  2, Batch   3051, Loss  0.869029, Average Loss  0.869868, Time  0.169516
2021-09-11 00:26:23.310030 : Epoch  2, Batch   3052, Loss  0.869806, Average Loss  0.869770, Time  0.170142
2021-09-11 00:26:24.919759 : Epoch  2, Batch   3053, Loss  0.855386, Average Loss  0.869740, Time  0.169823
2021-09-11 00:26:26.558734 : Epoch  2, Batch   3054, Loss  0.859497, Average Loss  0.869744, Time  0.169707
2021-09-11 00:26:28.185865 : Epoch  2, Batch   3055, Loss  0.879965, Average Loss  0.869808, Time  0.169569
2021-09-11 00:26:29.827999 : Epoch  2, Batch   3056, Loss  0.906454, Average Loss  0.870036, Time  0.169852
2021-09-11 00:26:31.466999 : Epoch  2, Batch   3057, Loss  0.903027, Average Loss  0.870280, Time  0.169587
2021-09-11 00:26:33.098998 : Epoch  2, Batch   3058, Loss  0.864418, Average Loss  0.870243, Time  0.169732
2021-09-11 00:26:34.735998 : Epoch  2, Batch   3059, Loss  0.894235, Average Loss  0.870607, Time  0.169190
2021-09-11 00:26:36.348996 : Epoch  2, Batch   3060, Loss  0.868995, Average Loss  0.870567, Time  0.169435
2021-09-11 00:26:37.995816 : Epoch  2, Batch   3061, Loss  0.862993, Average Loss  0.870457, Time  0.169760
2021-09-11 00:26:39.622008 : Epoch  2, Batch   3062, Loss  0.904329, Average Loss  0.870635, Time  0.169744
2021-09-11 00:26:41.304842 : Epoch  2, Batch   3063, Loss  0.858091, Average Loss  0.870502, Time  0.169613
2021-09-11 00:26:42.956999 : Epoch  2, Batch   3064, Loss  0.870491, Average Loss  0.870463, Time  0.169581
2021-09-11 00:26:44.590774 : Epoch  2, Batch   3065, Loss  0.875094, Average Loss  0.870542, Time  0.171858
2021-09-11 00:26:46.201991 : Epoch  2, Batch   3066, Loss  0.896243, Average Loss  0.870782, Time  0.169688
2021-09-11 00:26:47.833756 : Epoch  2, Batch   3067, Loss  0.870606, Average Loss  0.870812, Time  0.169712
2021-09-11 00:26:49.429089 : Epoch  2, Batch   3068, Loss  0.881689, Average Loss  0.870864, Time  0.169967
2021-09-11 00:26:51.082741 : Epoch  2, Batch   3069, Loss  0.854254, Average Loss  0.870772, Time  0.187106
2021-09-11 00:26:52.707012 : Epoch  2, Batch   3070, Loss  0.880387, Average Loss  0.870688, Time  0.173072
2021-09-11 00:26:54.332822 : Epoch  2, Batch   3071, Loss  0.849744, Average Loss  0.870688, Time  0.170019
2021-09-11 00:26:55.944065 : Epoch  2, Batch   3072, Loss  0.857823, Average Loss  0.870703, Time  0.169605
2021-09-11 00:26:57.556742 : Epoch  2, Batch   3073, Loss  0.893285, Average Loss  0.870748, Time  0.169860
2021-09-11 00:26:59.172000 : Epoch  2, Batch   3074, Loss  0.877446, Average Loss  0.870961, Time  0.169315
2021-09-11 00:27:00.805000 : Epoch  2, Batch   3075, Loss  0.844680, Average Loss  0.870826, Time  0.169885
2021-09-11 00:27:02.425759 : Epoch  2, Batch   3076, Loss  0.879536, Average Loss  0.870894, Time  0.169752
2021-09-11 00:27:04.093994 : Epoch  2, Batch   3077, Loss  0.899831, Average Loss  0.871175, Time  0.169748
2021-09-11 00:27:05.722811 : Epoch  2, Batch   3078, Loss  0.860667, Average Loss  0.871223, Time  0.171777
2021-09-11 00:27:07.356744 : Epoch  2, Batch   3079, Loss  0.881272, Average Loss  0.871313, Time  0.169888
2021-09-11 00:27:08.975743 : Epoch  2, Batch   3080, Loss  0.863162, Average Loss  0.871275, Time  0.169745
2021-09-11 00:27:10.602812 : Epoch  2, Batch   3081, Loss  0.841309, Average Loss  0.871062, Time  0.169628
2021-09-11 00:27:12.223989 : Epoch  2, Batch   3082, Loss  0.886204, Average Loss  0.871147, Time  0.169474
2021-09-11 00:27:13.860002 : Epoch  2, Batch   3083, Loss  0.865893, Average Loss  0.871203, Time  0.169566
2021-09-11 00:27:15.505764 : Epoch  2, Batch   3084, Loss  0.840015, Average Loss  0.871197, Time  0.169776
2021-09-11 00:27:17.189865 : Epoch  2, Batch   3085, Loss  0.891448, Average Loss  0.871279, Time  0.169744
2021-09-11 00:27:18.813831 : Epoch  2, Batch   3086, Loss  0.862383, Average Loss  0.871106, Time  0.169269
2021-09-11 00:27:20.424823 : Epoch  2, Batch   3087, Loss  0.866056, Average Loss  0.871145, Time  0.169562
2021-09-11 00:27:22.051741 : Epoch  2, Batch   3088, Loss  0.903150, Average Loss  0.871452, Time  0.169954
2021-09-11 00:27:23.673982 : Epoch  2, Batch   3089, Loss  0.881456, Average Loss  0.871402, Time  0.169782
2021-09-11 00:29:41.157767 : Building dataset train from orignial text documents
2021-09-11 00:30:07.849608 : Finish Loading dataset train
2021-09-11 00:30:07.898552 : Data Shuffle
2021-09-11 00:30:07.921720 : Start Shuffling
2021-09-11 00:30:08.976044 : Finish Shuffling
2021-09-11 00:30:09.069650 : Generate Batch
2021-09-11 00:30:09.439582 : Building dataset valid from orignial text documents
2021-09-11 00:30:10.637904 : Finish Loading dataset valid
2021-09-11 00:30:10.689631 : Data Shuffle
2021-09-11 00:30:10.716383 : Start Shuffling
2021-09-11 00:30:10.782238 : Finish Shuffling
2021-09-11 00:30:10.820619 : Generate Batch
2021-09-11 00:30:10.863608 : There are 787 batches per epoch
2021-09-11 00:30:10.885627 : Batch Shuffled
2021-09-11 00:30:12.870553 : Epoch  1, Batch      1, Loss  1.222984, Average Loss  1.222984, Time  0.707453
2021-09-11 00:30:14.477998 : Epoch  1, Batch      2, Loss  1.221386, Average Loss  1.222185, Time  0.256748
2021-09-11 00:30:16.063096 : Epoch  1, Batch      3, Loss  1.224668, Average Loss  1.223013, Time  0.242468
2021-09-11 00:30:17.664290 : Epoch  1, Batch      4, Loss  1.223821, Average Loss  1.223215, Time  0.233158
2021-09-11 00:30:19.229171 : Epoch  1, Batch      5, Loss  1.216250, Average Loss  1.221822, Time  0.231654
2021-09-11 00:30:20.801964 : Epoch  1, Batch      6, Loss  1.210748, Average Loss  1.219976, Time  0.233133
2021-09-11 00:30:22.392240 : Epoch  1, Batch      7, Loss  1.214119, Average Loss  1.219140, Time  0.231877
2021-09-11 00:30:23.970107 : Epoch  1, Batch      8, Loss  1.195097, Average Loss  1.216134, Time  0.234168
2021-09-11 00:30:25.559907 : Epoch  1, Batch      9, Loss  1.189355, Average Loss  1.213159, Time  0.234673
2021-09-11 00:30:27.140243 : Epoch  1, Batch     10, Loss  1.171194, Average Loss  1.208962, Time  0.232758
2021-09-11 00:30:28.708974 : Epoch  1, Batch     11, Loss  1.176297, Average Loss  1.205993, Time  0.234641
2021-09-11 00:30:30.275216 : Epoch  1, Batch     12, Loss  1.162134, Average Loss  1.202338, Time  0.232823
2021-09-11 00:30:31.858142 : Epoch  1, Batch     13, Loss  1.154725, Average Loss  1.198675, Time  0.234193
2021-09-11 00:30:33.426652 : Epoch  1, Batch     14, Loss  1.141586, Average Loss  1.194597, Time  0.230802
2021-09-11 00:30:34.984542 : Epoch  1, Batch     15, Loss  1.127824, Average Loss  1.190146, Time  0.231845
2021-09-11 00:30:36.542913 : Epoch  1, Batch     16, Loss  1.119807, Average Loss  1.185750, Time  0.231189
2021-09-11 00:30:38.104967 : Epoch  1, Batch     17, Loss  1.108064, Average Loss  1.181180, Time  0.234951
2021-09-11 00:30:39.667104 : Epoch  1, Batch     18, Loss  1.089143, Average Loss  1.176067, Time  0.233313
2021-09-11 00:30:41.213004 : Epoch  1, Batch     19, Loss  1.075063, Average Loss  1.170751, Time  0.231117
2021-09-11 00:30:42.762962 : Epoch  1, Batch     20, Loss  1.071210, Average Loss  1.165774, Time  0.232027
2021-09-11 00:30:44.313073 : Epoch  1, Batch     21, Loss  1.059420, Average Loss  1.160709, Time  0.231056
2021-09-11 00:30:45.859895 : Epoch  1, Batch     22, Loss  1.047095, Average Loss  1.155545, Time  0.232116
2021-09-11 00:30:47.421198 : Epoch  1, Batch     23, Loss  1.039046, Average Loss  1.150480, Time  0.233134
2021-09-11 00:30:48.978568 : Epoch  1, Batch     24, Loss  1.029028, Average Loss  1.145419, Time  0.231784
2021-09-11 00:30:50.555959 : Epoch  1, Batch     25, Loss  1.020440, Average Loss  1.140420, Time  0.231478
2021-09-11 00:30:52.108502 : Epoch  1, Batch     26, Loss  1.015324, Average Loss  1.135609, Time  0.230865
2021-09-11 00:30:53.684238 : Epoch  1, Batch     27, Loss  1.010741, Average Loss  1.130984, Time  0.233399
2021-09-11 00:30:55.248958 : Epoch  1, Batch     28, Loss  1.005370, Average Loss  1.126498, Time  0.236020
2021-09-11 00:30:56.804968 : Epoch  1, Batch     29, Loss  0.994469, Average Loss  1.121945, Time  0.232314
2021-09-11 00:30:58.367350 : Epoch  1, Batch     30, Loss  0.997635, Average Loss  1.117801, Time  0.234990
2021-09-11 00:30:59.925545 : Epoch  1, Batch     31, Loss  0.989788, Average Loss  1.113672, Time  0.234225
2021-09-11 00:31:01.495086 : Epoch  1, Batch     32, Loss  0.991623, Average Loss  1.109858, Time  0.236567
2021-09-11 00:31:03.053949 : Epoch  1, Batch     33, Loss  0.985921, Average Loss  1.106102, Time  0.230792
2021-09-11 00:31:04.654033 : Epoch  1, Batch     34, Loss  0.981431, Average Loss  1.102435, Time  0.232377
2021-09-11 00:31:06.205918 : Epoch  1, Batch     35, Loss  0.975296, Average Loss  1.098803, Time  0.234097
2021-09-11 00:31:07.782069 : Epoch  1, Batch     36, Loss  0.977408, Average Loss  1.095431, Time  0.234272
2021-09-11 00:31:09.559210 : Epoch  1, Batch     37, Loss  0.979749, Average Loss  1.092304, Time  0.234637
2021-09-11 00:31:11.132959 : Epoch  1, Batch     38, Loss  0.972755, Average Loss  1.089158, Time  0.235049
2021-09-11 00:31:12.694955 : Epoch  1, Batch     39, Loss  0.971462, Average Loss  1.086140, Time  0.236036
2021-09-11 00:31:14.265655 : Epoch  1, Batch     40, Loss  0.970417, Average Loss  1.083247, Time  0.233376
2021-09-11 00:31:16.008108 : Epoch  1, Batch     41, Loss  0.971606, Average Loss  1.080524, Time  0.247551
2021-09-11 00:31:17.654671 : Epoch  1, Batch     42, Loss  0.965765, Average Loss  1.077792, Time  0.258859
2021-09-11 00:31:19.243998 : Epoch  1, Batch     43, Loss  0.965661, Average Loss  1.075184, Time  0.235653
2021-09-11 00:31:20.837983 : Epoch  1, Batch     44, Loss  0.962979, Average Loss  1.072634, Time  0.239527
2021-09-11 00:31:22.407529 : Epoch  1, Batch     45, Loss  0.963558, Average Loss  1.070210, Time  0.232053
2021-09-11 00:31:23.980105 : Epoch  1, Batch     46, Loss  0.960666, Average Loss  1.067829, Time  0.238255
2021-09-11 00:31:25.532957 : Epoch  1, Batch     47, Loss  0.963158, Average Loss  1.065602, Time  0.231351
2021-09-11 00:31:27.093909 : Epoch  1, Batch     48, Loss  0.958811, Average Loss  1.063377, Time  0.231663
2021-09-11 00:31:28.654048 : Epoch  1, Batch     49, Loss  0.956817, Average Loss  1.061202, Time  0.232547
2021-09-11 00:31:30.190082 : Epoch  1, Batch     50, Loss  0.959239, Average Loss  1.059163, Time  0.231255
2021-09-11 00:31:31.749806 : Epoch  1, Batch     51, Loss  0.959711, Average Loss  1.057213, Time  0.233966
2021-09-11 00:31:33.304991 : Epoch  1, Batch     52, Loss  0.957233, Average Loss  1.055290, Time  0.232510
2021-09-11 00:31:34.841427 : Epoch  1, Batch     53, Loss  0.953774, Average Loss  1.053375, Time  0.236650
2021-09-11 00:31:36.392016 : Epoch  1, Batch     54, Loss  0.957368, Average Loss  1.051597, Time  0.236041
2021-09-11 00:31:37.955557 : Epoch  1, Batch     55, Loss  0.952660, Average Loss  1.049798, Time  0.233639
2021-09-11 00:31:39.517029 : Epoch  1, Batch     56, Loss  0.956598, Average Loss  1.048134, Time  0.230859
2021-09-11 00:31:41.085369 : Epoch  1, Batch     57, Loss  0.958164, Average Loss  1.046555, Time  0.234438
2021-09-11 00:31:41.236887 : Epoch  1, Batch     58, Loss  0.925426, Average Loss  1.044467, Time  0.096010
2021-09-11 00:31:42.785319 : Epoch  1, Batch     59, Loss  0.952281, Average Loss  1.042905, Time  0.231631
2021-09-11 00:31:44.342897 : Epoch  1, Batch     60, Loss  0.961991, Average Loss  1.041556, Time  0.234771
2021-09-11 00:31:45.905012 : Epoch  1, Batch     61, Loss  0.957225, Average Loss  1.040174, Time  0.235643
2021-09-11 00:31:47.463104 : Epoch  1, Batch     62, Loss  0.960037, Average Loss  1.038881, Time  0.240148
2021-09-11 00:31:49.024975 : Epoch  1, Batch     63, Loss  0.963238, Average Loss  1.037680, Time  0.233850
2021-09-11 00:31:50.583340 : Epoch  1, Batch     64, Loss  0.953035, Average Loss  1.036358, Time  0.232074
2021-09-11 00:31:52.129030 : Epoch  1, Batch     65, Loss  0.956760, Average Loss  1.035133, Time  0.231791
2021-09-11 00:31:53.695403 : Epoch  1, Batch     66, Loss  0.950309, Average Loss  1.033848, Time  0.233405
2021-09-11 00:31:55.243505 : Epoch  1, Batch     67, Loss  0.954567, Average Loss  1.032665, Time  0.234807
2021-09-11 00:31:56.805087 : Epoch  1, Batch     68, Loss  0.947218, Average Loss  1.031408, Time  0.231712
2021-09-11 00:31:58.357663 : Epoch  1, Batch     69, Loss  0.949387, Average Loss  1.030219, Time  0.232570
2021-09-11 00:31:59.900127 : Epoch  1, Batch     70, Loss  0.947304, Average Loss  1.029035, Time  0.231842
2021-09-11 00:32:01.457017 : Epoch  1, Batch     71, Loss  0.949814, Average Loss  1.027919, Time  0.233114
2021-09-11 00:32:02.998110 : Epoch  1, Batch     72, Loss  0.946773, Average Loss  1.026792, Time  0.233228
2021-09-11 00:32:04.559963 : Epoch  1, Batch     73, Loss  0.948130, Average Loss  1.025714, Time  0.232032
2021-09-11 00:32:04.850736 : CheckPoint: Validation Loss  0.00062260, Best Loss  0.00057296
2021-09-11 00:32:06.113968 : Epoch  1, Batch     74, Loss  0.952306, Average Loss  1.024722, Time  0.231714
2021-09-11 00:32:06.495946 : Epoch  2, Batch   3090, Loss  0.864894, Average Loss  0.871398, Time  0.190830
2021-09-11 00:32:07.673508 : Epoch  1, Batch     75, Loss  0.942710, Average Loss  1.023629, Time  0.234521
2021-09-11 00:32:08.124725 : Epoch  2, Batch   3091, Loss  0.851047, Average Loss  0.871171, Time  0.170513
2021-09-11 00:32:09.245073 : Epoch  1, Batch     76, Loss  0.945590, Average Loss  1.022602, Time  0.237895
2021-09-11 00:32:09.734892 : Epoch  2, Batch   3092, Loss  0.869706, Average Loss  0.871131, Time  0.170936
2021-09-11 00:32:10.811972 : Epoch  1, Batch     77, Loss  0.942885, Average Loss  1.021567, Time  0.237438
2021-09-11 00:32:11.346744 : Epoch  2, Batch   3093, Loss  0.897609, Average Loss  0.871171, Time  0.169861
2021-09-11 00:32:12.351946 : Epoch  1, Batch     78, Loss  0.941975, Average Loss  1.020546, Time  0.231568
2021-09-11 00:32:12.966984 : Epoch  2, Batch   3094, Loss  0.858744, Average Loss  0.871138, Time  0.169629
2021-09-11 00:32:13.899115 : Epoch  1, Batch     79, Loss  0.934630, Average Loss  1.019459, Time  0.235171
2021-09-11 00:32:14.599996 : Epoch  2, Batch   3095, Loss  0.830207, Average Loss  0.870849, Time  0.169642
2021-09-11 00:32:15.465203 : Epoch  1, Batch     80, Loss  0.939511, Average Loss  1.018460, Time  0.237231
2021-09-11 00:32:16.240994 : Epoch  2, Batch   3096, Loss  0.874090, Average Loss  0.870876, Time  0.169770
2021-09-11 00:32:17.023901 : Epoch  1, Batch     81, Loss  0.930185, Average Loss  1.017370, Time  0.236048
2021-09-11 00:32:17.859004 : Epoch  2, Batch   3097, Loss  0.849733, Average Loss  0.870834, Time  0.169515
2021-09-11 00:32:18.568972 : Epoch  1, Batch     82, Loss  0.930402, Average Loss  1.016309, Time  0.232203
2021-09-11 00:32:19.489993 : Epoch  2, Batch   3098, Loss  0.866943, Average Loss  0.870791, Time  0.169585
2021-09-11 00:32:20.118260 : Epoch  1, Batch     83, Loss  0.927942, Average Loss  1.015244, Time  0.238911
2021-09-11 00:32:21.131002 : Epoch  2, Batch   3099, Loss  0.889214, Average Loss  0.870901, Time  0.169420
2021-09-11 00:32:21.655336 : Epoch  1, Batch     84, Loss  0.923628, Average Loss  1.014154, Time  0.231269
2021-09-11 00:32:22.777983 : Epoch  2, Batch   3100, Loss  0.886100, Average Loss  0.870831, Time  0.169574
2021-09-11 00:32:23.225178 : Epoch  1, Batch     85, Loss  0.923979, Average Loss  1.013093, Time  0.238806
2021-09-11 00:32:24.415998 : Epoch  2, Batch   3101, Loss  0.838215, Average Loss  0.870678, Time  0.169627
2021-09-11 00:32:24.755567 : Epoch  1, Batch     86, Loss  0.915966, Average Loss  1.011964, Time  0.236398
2021-09-11 00:32:26.053998 : Epoch  2, Batch   3102, Loss  0.853257, Average Loss  0.870617, Time  0.169383
2021-09-11 00:32:26.321604 : Epoch  1, Batch     87, Loss  0.908434, Average Loss  1.010774, Time  0.232632
2021-09-11 00:32:27.674499 : Epoch  2, Batch   3103, Loss  0.857811, Average Loss  0.870575, Time  0.169739
2021-09-11 00:32:27.920124 : Epoch  1, Batch     88, Loss  0.896132, Average Loss  1.009471, Time  0.232668
2021-09-11 00:32:29.276827 : Epoch  2, Batch   3104, Loss  0.850031, Average Loss  0.870393, Time  0.173169
2021-09-11 00:32:29.480176 : Epoch  1, Batch     89, Loss  0.884988, Average Loss  1.008072, Time  0.233998
2021-09-11 00:32:30.886754 : Epoch  2, Batch   3105, Loss  0.854074, Average Loss  0.870309, Time  0.169870
2021-09-11 00:32:31.065553 : Epoch  1, Batch     90, Loss  0.867115, Average Loss  1.006506, Time  0.238469
2021-09-11 00:32:32.517993 : Epoch  2, Batch   3106, Loss  0.834429, Average Loss  0.870119, Time  0.169557
2021-09-11 00:32:32.657239 : Epoch  1, Batch     91, Loss  0.846080, Average Loss  1.004743, Time  0.232294
2021-09-11 00:32:34.152981 : Epoch  2, Batch   3107, Loss  0.865564, Average Loss  0.870163, Time  0.169659
2021-09-11 00:32:34.211159 : Epoch  1, Batch     92, Loss  0.832231, Average Loss  1.002868, Time  0.232445
2021-09-11 00:32:35.792006 : Epoch  2, Batch   3108, Loss  0.857284, Average Loss  0.870222, Time  0.171984
2021-09-11 00:32:35.806131 : Epoch  1, Batch     93, Loss  0.829142, Average Loss  1.001000, Time  0.237994
2021-09-11 00:32:37.380934 : Epoch  1, Batch     94, Loss  0.835309, Average Loss  0.999237, Time  0.236817
2021-09-11 00:32:37.435740 : Epoch  2, Batch   3109, Loss  0.862880, Average Loss  0.870148, Time  0.169664
2021-09-11 00:32:38.949925 : Epoch  1, Batch     95, Loss  0.844396, Average Loss  0.997607, Time  0.236970
2021-09-11 00:32:39.071770 : Epoch  2, Batch   3110, Loss  0.842511, Average Loss  0.869948, Time  0.169913
2021-09-11 00:32:40.506231 : Epoch  1, Batch     96, Loss  0.851816, Average Loss  0.996089, Time  0.233576
2021-09-11 00:32:40.681817 : Epoch  2, Batch   3111, Loss  0.857654, Average Loss  0.869960, Time  0.169552
2021-09-11 00:32:42.117991 : Epoch  1, Batch     97, Loss  0.847235, Average Loss  0.994554, Time  0.233933
2021-09-11 00:32:42.300920 : Epoch  2, Batch   3112, Loss  0.878297, Average Loss  0.870005, Time  0.169585
2021-09-11 00:32:43.684020 : Epoch  1, Batch     98, Loss  0.839905, Average Loss  0.992976, Time  0.236194
2021-09-11 00:32:43.926793 : Epoch  2, Batch   3113, Loss  0.867987, Average Loss  0.870023, Time  0.171331
2021-09-11 00:32:45.242935 : Epoch  1, Batch     99, Loss  0.827568, Average Loss  0.991305, Time  0.235108
2021-09-11 00:32:45.537844 : Epoch  2, Batch   3114, Loss  0.844815, Average Loss  0.869839, Time  0.169464
2021-09-11 00:32:46.820995 : Epoch  1, Batch    100, Loss  0.829386, Average Loss  0.989686, Time  0.235946
2021-09-11 00:32:47.162007 : Epoch  2, Batch   3115, Loss  0.881802, Average Loss  0.869960, Time  0.171801
2021-09-11 00:32:48.810771 : Epoch  2, Batch   3116, Loss  0.874439, Average Loss  0.870083, Time  0.171852
2021-09-11 00:32:50.462005 : Epoch  2, Batch   3117, Loss  0.860365, Average Loss  0.869981, Time  0.169382
2021-09-11 00:32:52.090731 : Epoch  2, Batch   3118, Loss  0.885313, Average Loss  0.870053, Time  0.171942
2021-09-11 00:32:53.721998 : Epoch  2, Batch   3119, Loss  0.877931, Average Loss  0.870012, Time  0.169660
2021-09-11 00:32:55.343729 : Epoch  2, Batch   3120, Loss  0.885147, Average Loss  0.870130, Time  0.169773
2021-09-11 00:32:56.970805 : Epoch  2, Batch   3121, Loss  0.877017, Average Loss  0.869950, Time  0.169858
2021-09-11 00:32:58.605789 : Epoch  2, Batch   3122, Loss  0.894275, Average Loss  0.870136, Time  0.169720
2021-09-11 00:33:00.231740 : Epoch  2, Batch   3123, Loss  0.895219, Average Loss  0.870366, Time  0.169575
2021-09-11 00:33:01.847021 : Epoch  2, Batch   3124, Loss  0.897097, Average Loss  0.870662, Time  0.169518
2021-09-11 00:33:03.465739 : Epoch  2, Batch   3125, Loss  0.870509, Average Loss  0.870562, Time  0.169484
2021-09-11 00:33:05.150757 : Epoch  2, Batch   3126, Loss  0.837255, Average Loss  0.870419, Time  0.169959
2021-09-11 00:33:06.767926 : Epoch  2, Batch   3127, Loss  0.860485, Average Loss  0.870346, Time  0.169449
2021-09-11 00:33:08.385775 : Epoch  2, Batch   3128, Loss  0.869521, Average Loss  0.870265, Time  0.169587
2021-09-11 00:33:10.023029 : Epoch  2, Batch   3129, Loss  0.885114, Average Loss  0.870340, Time  0.169867
2021-09-11 00:33:11.653867 : Epoch  2, Batch   3130, Loss  0.869808, Average Loss  0.870274, Time  0.169611
2021-09-11 00:33:13.272998 : Epoch  2, Batch   3131, Loss  0.863422, Average Loss  0.870120, Time  0.169852
2021-09-11 00:33:14.011788 : Building dataset train from orignial text documents
2021-09-11 00:33:14.903991 : Epoch  2, Batch   3132, Loss  0.860890, Average Loss  0.869943, Time  0.169417
2021-09-11 00:33:16.537792 : Epoch  2, Batch   3133, Loss  0.875409, Average Loss  0.870069, Time  0.169864
2021-09-11 00:33:18.164006 : Epoch  2, Batch   3134, Loss  0.900117, Average Loss  0.870190, Time  0.169994
2021-09-11 00:33:19.777906 : Epoch  2, Batch   3135, Loss  0.884528, Average Loss  0.870226, Time  0.169964
2021-09-11 00:33:21.387769 : Epoch  2, Batch   3136, Loss  0.843359, Average Loss  0.870133, Time  0.169742
2021-09-11 00:33:23.017778 : Epoch  2, Batch   3137, Loss  0.860009, Average Loss  0.870123, Time  0.171775
2021-09-11 00:33:24.623921 : Epoch  2, Batch   3138, Loss  0.857829, Average Loss  0.870144, Time  0.173995
2021-09-11 00:33:26.245032 : Epoch  2, Batch   3139, Loss  0.885369, Average Loss  0.870177, Time  0.173809
2021-09-11 00:33:27.858744 : Epoch  2, Batch   3140, Loss  0.858681, Average Loss  0.870076, Time  0.170432
2021-09-11 00:33:29.455504 : Epoch  2, Batch   3141, Loss  0.867118, Average Loss  0.869938, Time  0.170380
2021-09-11 00:33:31.063022 : Epoch  2, Batch   3142, Loss  0.856750, Average Loss  0.869938, Time  0.175667
2021-09-11 00:33:32.659760 : Epoch  2, Batch   3143, Loss  0.858007, Average Loss  0.869865, Time  0.169901
2021-09-11 00:33:34.284031 : Epoch  2, Batch   3144, Loss  0.880522, Average Loss  0.869884, Time  0.175859
2021-09-11 00:33:35.925748 : Epoch  2, Batch   3145, Loss  0.887179, Average Loss  0.870053, Time  0.173534
2021-09-11 00:33:37.549022 : Epoch  2, Batch   3146, Loss  0.835607, Average Loss  0.869791, Time  0.170149
2021-09-11 00:33:39.146029 : Epoch  2, Batch   3147, Loss  0.861436, Average Loss  0.869765, Time  0.171127
2021-09-11 00:33:40.752790 : Epoch  2, Batch   3148, Loss  0.845523, Average Loss  0.869635, Time  0.170040
2021-09-11 00:33:42.367033 : Epoch  2, Batch   3149, Loss  0.842759, Average Loss  0.869501, Time  0.174543
2021-09-11 00:33:43.976029 : Epoch  2, Batch   3150, Loss  0.887669, Average Loss  0.869572, Time  0.177404
2021-09-11 00:33:45.581779 : Epoch  2, Batch   3151, Loss  0.848043, Average Loss  0.869492, Time  0.173859
2021-09-11 00:33:46.837828 : CheckPoint: Validation Loss  0.00033935, Best Loss  0.00033935
2021-09-11 00:33:46.889583 : Best Model Updated
2021-09-11 00:33:47.190725 : Epoch  2, Batch   3152, Loss  0.847557, Average Loss  0.869348, Time  0.170278
2021-09-11 00:33:48.819943 : Epoch  2, Batch   3153, Loss  0.857098, Average Loss  0.869456, Time  0.176696
2021-09-11 00:33:50.441947 : Epoch  2, Batch   3154, Loss  0.878340, Average Loss  0.869600, Time  0.174924
2021-09-11 00:33:52.047737 : Epoch  2, Batch   3155, Loss  0.849110, Average Loss  0.869518, Time  0.169641
2021-09-11 00:33:53.675993 : Epoch  2, Batch   3156, Loss  0.872966, Average Loss  0.869543, Time  0.171567
2021-09-11 00:33:55.303997 : Epoch  2, Batch   3157, Loss  0.849128, Average Loss  0.869355, Time  0.169839
2021-09-11 00:33:56.936996 : Epoch  2, Batch   3158, Loss  0.871520, Average Loss  0.869417, Time  0.171689
2021-09-11 00:33:58.567807 : Epoch  2, Batch   3159, Loss  0.855655, Average Loss  0.869275, Time  0.169745
2021-09-11 00:34:00.192749 : Epoch  2, Batch   3160, Loss  0.860212, Average Loss  0.869196, Time  0.169503
2021-09-11 00:34:01.817795 : Epoch  2, Batch   3161, Loss  0.905670, Average Loss  0.869413, Time  0.169382
2021-09-11 00:34:03.455997 : Epoch  2, Batch   3162, Loss  0.875661, Average Loss  0.869275, Time  0.169646
2021-09-11 00:34:05.156986 : Epoch  2, Batch   3163, Loss  0.884002, Average Loss  0.869271, Time  0.170086
2021-09-11 00:34:06.775742 : Epoch  2, Batch   3164, Loss  0.881186, Average Loss  0.869399, Time  0.169870
2021-09-11 00:34:08.429845 : Epoch  2, Batch   3165, Loss  0.881518, Average Loss  0.869348, Time  0.169574
2021-09-11 00:34:10.054986 : Epoch  2, Batch   3166, Loss  0.869098, Average Loss  0.869355, Time  0.169590
2021-09-11 00:34:11.674770 : Epoch  2, Batch   3167, Loss  0.853912, Average Loss  0.869287, Time  0.169691
2021-09-11 00:34:13.307991 : Epoch  2, Batch   3168, Loss  0.860689, Average Loss  0.869257, Time  0.169495
2021-09-11 00:34:14.939951 : Epoch  2, Batch   3169, Loss  0.838155, Average Loss  0.869066, Time  0.170189
2021-09-11 00:34:16.572011 : Epoch  2, Batch   3170, Loss  0.868325, Average Loss  0.869139, Time  0.169500
2021-09-11 00:34:18.203840 : Epoch  2, Batch   3171, Loss  0.882168, Average Loss  0.869168, Time  0.171512
2021-09-11 00:34:19.851025 : Epoch  2, Batch   3172, Loss  0.880585, Average Loss  0.869224, Time  0.171711
2021-09-11 00:34:21.469829 : Epoch  2, Batch   3173, Loss  0.862576, Average Loss  0.869119, Time  0.170610
2021-09-11 00:34:23.068998 : Epoch  2, Batch   3174, Loss  0.879860, Average Loss  0.869213, Time  0.169634
2021-09-11 00:34:24.694762 : Epoch  2, Batch   3175, Loss  0.884463, Average Loss  0.869297, Time  0.169523
2021-09-11 00:34:26.330000 : Epoch  2, Batch   3176, Loss  0.887068, Average Loss  0.869404, Time  0.169511
2021-09-11 00:34:27.958796 : Epoch  2, Batch   3177, Loss  0.888387, Average Loss  0.869524, Time  0.170702
2021-09-11 00:34:29.598997 : Epoch  2, Batch   3178, Loss  0.844809, Average Loss  0.869384, Time  0.169636
2021-09-11 00:34:31.208934 : Epoch  2, Batch   3179, Loss  0.875344, Average Loss  0.869402, Time  0.169742
2021-09-11 00:34:32.842738 : Epoch  2, Batch   3180, Loss  0.857387, Average Loss  0.869222, Time  0.171623
2021-09-11 00:34:34.480799 : Epoch  2, Batch   3181, Loss  0.847136, Average Loss  0.869001, Time  0.169559
2021-09-11 00:34:36.107853 : Epoch  2, Batch   3182, Loss  0.857646, Average Loss  0.868899, Time  0.169729
2021-09-11 00:34:37.728029 : Epoch  2, Batch   3183, Loss  0.867653, Average Loss  0.868859, Time  0.169839
2021-09-11 00:34:39.342749 : Epoch  2, Batch   3184, Loss  0.856051, Average Loss  0.868803, Time  0.173540
2021-09-11 00:34:40.969820 : Epoch  2, Batch   3185, Loss  0.860391, Average Loss  0.868890, Time  0.173742
2021-09-11 00:34:42.600785 : Epoch  2, Batch   3186, Loss  0.863612, Average Loss  0.868911, Time  0.170393
2021-09-11 00:34:44.232776 : Epoch  2, Batch   3187, Loss  0.876953, Average Loss  0.868940, Time  0.171833
2021-09-11 00:34:45.859822 : Epoch  2, Batch   3188, Loss  0.846535, Average Loss  0.868767, Time  0.174036
2021-09-11 00:34:47.501840 : Epoch  2, Batch   3189, Loss  0.866049, Average Loss  0.868811, Time  0.170190
2021-09-11 00:36:17.896715 : Finish Loading dataset train
2021-09-11 00:36:17.964490 : Data Shuffle
2021-09-11 00:36:18.010587 : Start Shuffling
2021-09-11 00:36:19.282639 : Finish Shuffling
2021-09-11 00:36:19.381588 : Generate Batch
2021-09-11 00:36:19.780624 : Building dataset valid from orignial text documents
2021-09-11 00:36:27.986593 : Finish Loading dataset valid
2021-09-11 00:36:28.039554 : Data Shuffle
2021-09-11 00:36:28.088550 : Start Shuffling
2021-09-11 00:36:28.192606 : Finish Shuffling
2021-09-11 00:36:28.249593 : Generate Batch
2021-09-11 00:36:28.358579 : There are 1856 batches per epoch
2021-09-11 00:36:28.414560 : Batch Shuffled
2021-09-11 00:36:31.308635 : Epoch  1, Batch      1, Loss  1.996118, Average Loss  1.996118, Time  0.528173
2021-09-11 00:36:33.950424 : Epoch  1, Batch      2, Loss  1.996879, Average Loss  1.996498, Time  0.262689
2021-09-11 00:36:36.611946 : Epoch  1, Batch      3, Loss  1.997203, Average Loss  1.996733, Time  0.251040
2021-09-11 00:36:39.252579 : Epoch  1, Batch      4, Loss  1.995264, Average Loss  1.996366, Time  0.243996
2021-09-11 00:36:41.870096 : Epoch  1, Batch      5, Loss  1.982736, Average Loss  1.993640, Time  0.242268
2021-09-11 00:36:44.493592 : Epoch  1, Batch      6, Loss  1.986787, Average Loss  1.992498, Time  0.240920
2021-09-11 00:36:47.093769 : Epoch  1, Batch      7, Loss  1.985458, Average Loss  1.991492, Time  0.239083
2021-09-11 00:36:49.724552 : Epoch  1, Batch      8, Loss  1.978670, Average Loss  1.989889, Time  0.242967
2021-09-11 00:36:52.330950 : Epoch  1, Batch      9, Loss  1.959915, Average Loss  1.986559, Time  0.243211
2021-09-11 00:36:54.951492 : Epoch  1, Batch     10, Loss  1.943587, Average Loss  1.982262, Time  0.237154
2021-09-11 00:36:57.577995 : Epoch  1, Batch     11, Loss  1.949079, Average Loss  1.979245, Time  0.237504
2021-09-11 00:37:00.191622 : Epoch  1, Batch     12, Loss  1.923202, Average Loss  1.974575, Time  0.239688
2021-09-11 00:37:02.818138 : Epoch  1, Batch     13, Loss  1.911252, Average Loss  1.969704, Time  0.242655
2021-09-11 00:37:05.445504 : Epoch  1, Batch     14, Loss  1.892645, Average Loss  1.964199, Time  0.238952
2021-09-11 00:37:08.067120 : Epoch  1, Batch     15, Loss  1.880336, Average Loss  1.958609, Time  0.238005
2021-09-11 00:37:10.682569 : Epoch  1, Batch     16, Loss  1.863853, Average Loss  1.952686, Time  0.239557
2021-09-11 00:37:13.301916 : Epoch  1, Batch     17, Loss  1.849324, Average Loss  1.946606, Time  0.242701
2021-09-11 00:37:15.911968 : Epoch  1, Batch     18, Loss  1.831543, Average Loss  1.940214, Time  0.242661
2021-09-11 00:37:18.524489 : Epoch  1, Batch     19, Loss  1.818738, Average Loss  1.933820, Time  0.240456
2021-09-11 00:37:21.149228 : Epoch  1, Batch     20, Loss  1.805040, Average Loss  1.927381, Time  0.242440
2021-09-11 00:37:23.773005 : Epoch  1, Batch     21, Loss  1.788999, Average Loss  1.920792, Time  0.248591
2021-09-11 00:37:26.390514 : Epoch  1, Batch     22, Loss  1.772115, Average Loss  1.914034, Time  0.239163
2021-09-11 00:37:29.031104 : Epoch  1, Batch     23, Loss  1.769192, Average Loss  1.907736, Time  0.237727
2021-09-11 00:37:31.645898 : Epoch  1, Batch     24, Loss  1.756947, Average Loss  1.901453, Time  0.238035
2021-09-11 00:37:34.255148 : Epoch  1, Batch     25, Loss  1.742432, Average Loss  1.895093, Time  0.244494
2021-09-11 00:37:36.916588 : Epoch  1, Batch     26, Loss  1.743363, Average Loss  1.889257, Time  0.243459
2021-09-11 00:37:39.529886 : Epoch  1, Batch     27, Loss  1.734477, Average Loss  1.883524, Time  0.240588
2021-09-11 00:37:42.161471 : Epoch  1, Batch     28, Loss  1.736069, Average Loss  1.878258, Time  0.245194
2021-09-11 00:37:44.800047 : Epoch  1, Batch     29, Loss  1.716905, Average Loss  1.872694, Time  0.240046
2021-09-11 00:37:47.428553 : Epoch  1, Batch     30, Loss  1.707782, Average Loss  1.867197, Time  0.238359
2021-09-11 00:37:50.064289 : Epoch  1, Batch     31, Loss  1.713952, Average Loss  1.862254, Time  0.240410
2021-09-11 00:37:52.684844 : Epoch  1, Batch     32, Loss  1.715008, Average Loss  1.857652, Time  0.239045
2021-09-11 00:37:55.322488 : Epoch  1, Batch     33, Loss  1.700452, Average Loss  1.852889, Time  0.238796
2021-09-11 00:37:57.938244 : Epoch  1, Batch     34, Loss  1.696771, Average Loss  1.848297, Time  0.243262
2021-09-11 00:38:00.577942 : Epoch  1, Batch     35, Loss  1.704972, Average Loss  1.844202, Time  0.243623
2021-09-11 00:38:03.185968 : Epoch  1, Batch     36, Loss  1.705653, Average Loss  1.840353, Time  0.239662
2021-09-11 00:38:05.787587 : Epoch  1, Batch     37, Loss  1.675543, Average Loss  1.835899, Time  0.238363
2021-09-11 00:38:08.453404 : Epoch  1, Batch     38, Loss  1.684884, Average Loss  1.831925, Time  0.242481
2021-09-11 00:38:11.076508 : Epoch  1, Batch     39, Loss  1.674993, Average Loss  1.827901, Time  0.239876
2021-09-11 00:38:13.697482 : Epoch  1, Batch     40, Loss  1.687395, Average Loss  1.824388, Time  0.244511
2021-09-11 00:38:16.332990 : Epoch  1, Batch     41, Loss  1.686967, Average Loss  1.821037, Time  0.238677
2021-09-11 00:38:18.965461 : Epoch  1, Batch     42, Loss  1.665353, Average Loss  1.817330, Time  0.239943
2021-09-11 00:38:21.574531 : Epoch  1, Batch     43, Loss  1.670617, Average Loss  1.813918, Time  0.240529
2021-09-11 00:38:24.180984 : Epoch  1, Batch     44, Loss  1.670082, Average Loss  1.810649, Time  0.239198
2021-09-11 00:38:26.804996 : Epoch  1, Batch     45, Loss  1.675031, Average Loss  1.807635, Time  0.243485
2021-09-11 00:38:29.429502 : Epoch  1, Batch     46, Loss  1.674690, Average Loss  1.804745, Time  0.240396
2021-09-11 00:38:32.033663 : Epoch  1, Batch     47, Loss  1.673990, Average Loss  1.801963, Time  0.240627
2021-09-11 00:38:34.648916 : Epoch  1, Batch     48, Loss  1.667622, Average Loss  1.799164, Time  0.238342
2021-09-11 00:38:37.259625 : Epoch  1, Batch     49, Loss  1.669850, Average Loss  1.796525, Time  0.239916
2021-09-11 00:38:39.892489 : Epoch  1, Batch     50, Loss  1.669723, Average Loss  1.793989, Time  0.246777
2021-09-11 00:38:42.503950 : Epoch  1, Batch     51, Loss  1.671447, Average Loss  1.791586, Time  0.240852
2021-09-11 00:38:45.140875 : Epoch  1, Batch     52, Loss  1.668254, Average Loss  1.789215, Time  0.246169
2021-09-11 00:38:47.748929 : Epoch  1, Batch     53, Loss  1.658388, Average Loss  1.786746, Time  0.239299
2021-09-11 00:38:50.358966 : Epoch  1, Batch     54, Loss  1.661691, Average Loss  1.784430, Time  0.241267
2021-09-11 00:38:52.999887 : Epoch  1, Batch     55, Loss  1.663333, Average Loss  1.782229, Time  0.239669
2021-09-11 00:38:55.614975 : Epoch  1, Batch     56, Loss  1.665529, Average Loss  1.780145, Time  0.239646
2021-09-11 00:38:58.228315 : Epoch  1, Batch     57, Loss  1.666797, Average Loss  1.778156, Time  0.239549
2021-09-11 00:39:00.833931 : Epoch  1, Batch     58, Loss  1.657514, Average Loss  1.776076, Time  0.238430
2021-09-11 00:39:03.449036 : Epoch  1, Batch     59, Loss  1.655033, Average Loss  1.774024, Time  0.241239
2021-09-11 00:39:06.058903 : Epoch  1, Batch     60, Loss  1.659366, Average Loss  1.772113, Time  0.239997
2021-09-11 00:39:08.673859 : Epoch  1, Batch     61, Loss  1.652000, Average Loss  1.770144, Time  0.238460
2021-09-11 00:39:11.304165 : Epoch  1, Batch     62, Loss  1.666238, Average Loss  1.768468, Time  0.238714
2021-09-11 00:39:13.919953 : Epoch  1, Batch     63, Loss  1.660543, Average Loss  1.766755, Time  0.238735
2021-09-11 00:39:16.523547 : Epoch  1, Batch     64, Loss  1.661790, Average Loss  1.765115, Time  0.244703
2021-09-11 00:39:19.124021 : Epoch  1, Batch     65, Loss  1.652310, Average Loss  1.763380, Time  0.239539
2021-09-11 00:39:21.719353 : Epoch  1, Batch     66, Loss  1.656066, Average Loss  1.761754, Time  0.239354
2021-09-11 00:39:24.326305 : Epoch  1, Batch     67, Loss  1.649971, Average Loss  1.760085, Time  0.238452
2021-09-11 00:39:26.943502 : Epoch  1, Batch     68, Loss  1.659239, Average Loss  1.758602, Time  0.238374
2021-09-11 00:39:29.245738 : CheckPoint: Validation Loss  0.00060471, Best Loss  0.00057296
2021-09-11 00:39:29.549054 : Epoch  1, Batch     69, Loss  1.661689, Average Loss  1.757198, Time  0.238549
2021-09-11 00:39:30.867818 : Epoch  2, Batch   3190, Loss  0.882950, Average Loss  0.868842, Time  0.177658
2021-09-11 00:39:32.158028 : Epoch  1, Batch     70, Loss  1.655481, Average Loss  1.755745, Time  0.242033
2021-09-11 00:39:32.479915 : Epoch  2, Batch   3191, Loss  0.871239, Average Loss  0.868747, Time  0.170166
2021-09-11 00:39:34.115895 : Epoch  2, Batch   3192, Loss  0.855277, Average Loss  0.868596, Time  0.172517
2021-09-11 00:39:34.791132 : Epoch  1, Batch     71, Loss  1.659766, Average Loss  1.754393, Time  0.243668
2021-09-11 00:39:35.740750 : Epoch  2, Batch   3193, Loss  0.883785, Average Loss  0.868589, Time  0.170304
2021-09-11 00:39:37.379991 : Epoch  2, Batch   3194, Loss  0.850281, Average Loss  0.868567, Time  0.169743
2021-09-11 00:39:37.410117 : Epoch  1, Batch     72, Loss  1.656180, Average Loss  1.753029, Time  0.238460
2021-09-11 00:39:39.015869 : Epoch  2, Batch   3195, Loss  0.836840, Average Loss  0.868375, Time  0.169344
2021-09-11 00:39:40.038910 : Epoch  1, Batch     73, Loss  1.669661, Average Loss  1.751887, Time  0.243032
2021-09-11 00:39:40.629008 : Epoch  2, Batch   3196, Loss  0.850367, Average Loss  0.868280, Time  0.173525
2021-09-11 00:39:42.239017 : Epoch  2, Batch   3197, Loss  0.891941, Average Loss  0.868374, Time  0.170243
2021-09-11 00:39:42.685070 : Epoch  1, Batch     74, Loss  1.661118, Average Loss  1.750660, Time  0.242039
2021-09-11 00:39:43.872019 : Epoch  2, Batch   3198, Loss  0.849487, Average Loss  0.868324, Time  0.173292
2021-09-11 00:39:45.319979 : Epoch  1, Batch     75, Loss  1.647938, Average Loss  1.749291, Time  0.239661
2021-09-11 00:39:45.524061 : Epoch  2, Batch   3199, Loss  0.864266, Average Loss  0.868356, Time  0.172056
2021-09-11 00:39:47.144022 : Epoch  2, Batch   3200, Loss  0.900898, Average Loss  0.868657, Time  0.173876
2021-09-11 00:39:47.933189 : Epoch  1, Batch     76, Loss  1.668887, Average Loss  1.748233, Time  0.238409
2021-09-11 00:39:48.773028 : Epoch  2, Batch   3201, Loss  0.874354, Average Loss  0.868589, Time  0.175829
2021-09-11 00:39:50.377033 : Epoch  2, Batch   3202, Loss  0.868083, Average Loss  0.868703, Time  0.171121
2021-09-11 00:39:50.548092 : Epoch  1, Batch     77, Loss  1.649101, Average Loss  1.746945, Time  0.241404
2021-09-11 00:39:51.983984 : Epoch  2, Batch   3203, Loss  0.874863, Average Loss  0.868648, Time  0.169680
2021-09-11 00:39:53.156036 : Epoch  1, Batch     78, Loss  1.640451, Average Loss  1.745580, Time  0.237815
2021-09-11 00:39:53.605998 : Epoch  2, Batch   3204, Loss  0.859646, Average Loss  0.868465, Time  0.169770
2021-09-11 00:39:55.239848 : Epoch  2, Batch   3205, Loss  0.877944, Average Loss  0.868586, Time  0.169848
2021-09-11 00:39:55.794538 : Epoch  1, Batch     79, Loss  1.656692, Average Loss  1.744455, Time  0.238703
2021-09-11 00:39:56.870065 : Epoch  2, Batch   3206, Loss  0.839957, Average Loss  0.868613, Time  0.171133
2021-09-11 00:39:58.425983 : Epoch  1, Batch     80, Loss  1.636029, Average Loss  1.743099, Time  0.242159
2021-09-11 00:39:58.500049 : Epoch  2, Batch   3207, Loss  0.860538, Average Loss  0.868568, Time  0.171885
2021-09-11 00:40:00.114026 : Epoch  2, Batch   3208, Loss  0.878390, Average Loss  0.868609, Time  0.173991
2021-09-11 00:40:01.033053 : Epoch  1, Batch     81, Loss  1.664035, Average Loss  1.742123, Time  0.244446
2021-09-11 00:40:01.738960 : Epoch  2, Batch   3209, Loss  0.869985, Average Loss  0.868590, Time  0.170332
2021-09-11 00:40:03.368032 : Epoch  2, Batch   3210, Loss  0.889335, Average Loss  0.868682, Time  0.171862
2021-09-11 00:40:03.638172 : Epoch  1, Batch     82, Loss  1.651800, Average Loss  1.741022, Time  0.238520
2021-09-11 00:40:04.993745 : Epoch  2, Batch   3211, Loss  0.860574, Average Loss  0.868614, Time  0.170504
2021-09-11 00:40:06.266957 : Epoch  1, Batch     83, Loss  1.643133, Average Loss  1.739842, Time  0.238677
2021-09-11 00:40:06.601009 : Epoch  2, Batch   3212, Loss  0.882265, Average Loss  0.868686, Time  0.169669
2021-09-11 00:40:08.243980 : Epoch  2, Batch   3213, Loss  0.857294, Average Loss  0.868490, Time  0.169651
2021-09-11 00:40:08.877909 : Epoch  1, Batch     84, Loss  1.637406, Average Loss  1.738623, Time  0.239770
2021-09-11 00:40:09.858029 : Epoch  2, Batch   3214, Loss  0.856740, Average Loss  0.868452, Time  0.175101
2021-09-11 00:40:11.475041 : Epoch  2, Batch   3215, Loss  0.862236, Average Loss  0.868181, Time  0.169957
2021-09-11 00:40:11.489851 : Epoch  1, Batch     85, Loss  1.636480, Average Loss  1.737421, Time  0.245187
2021-09-11 00:40:13.108843 : Epoch  2, Batch   3216, Loss  0.905451, Average Loss  0.868440, Time  0.176046
2021-09-11 00:40:14.111455 : Epoch  1, Batch     86, Loss  1.655983, Average Loss  1.736474, Time  0.241002
2021-09-11 00:40:14.748825 : Epoch  2, Batch   3217, Loss  0.888292, Average Loss  0.868462, Time  0.172868
2021-09-11 00:40:16.383020 : Epoch  2, Batch   3218, Loss  0.851831, Average Loss  0.868364, Time  0.183371
2021-09-11 00:40:16.715540 : Epoch  1, Batch     87, Loss  1.664433, Average Loss  1.735646, Time  0.239515
2021-09-11 00:40:18.015034 : Epoch  2, Batch   3219, Loss  0.879597, Average Loss  0.868397, Time  0.178113
2021-09-11 00:40:19.329878 : Epoch  1, Batch     88, Loss  1.631823, Average Loss  1.734466, Time  0.245125
2021-09-11 00:40:19.647749 : Epoch  2, Batch   3220, Loss  0.883094, Average Loss  0.868472, Time  0.173501
2021-09-11 00:40:21.259784 : Epoch  2, Batch   3221, Loss  0.858158, Average Loss  0.868412, Time  0.169585
2021-09-11 00:40:21.955387 : Epoch  1, Batch     89, Loss  1.640556, Average Loss  1.733411, Time  0.239181
2021-09-11 00:40:22.885001 : Epoch  2, Batch   3222, Loss  0.860009, Average Loss  0.868320, Time  0.170095
2021-09-11 00:40:24.525001 : Epoch  2, Batch   3223, Loss  0.903835, Average Loss  0.868562, Time  0.174047
2021-09-11 00:40:24.567007 : Epoch  1, Batch     90, Loss  1.640552, Average Loss  1.732380, Time  0.239109
2021-09-11 00:40:26.143049 : Epoch  2, Batch   3224, Loss  0.850250, Average Loss  0.868482, Time  0.170773
2021-09-11 00:40:27.167921 : Epoch  1, Batch     91, Loss  1.618793, Average Loss  1.731131, Time  0.239299
2021-09-11 00:40:27.763816 : Epoch  2, Batch   3225, Loss  0.875810, Average Loss  0.868662, Time  0.169933
2021-09-11 00:40:29.441985 : Epoch  2, Batch   3226, Loss  0.885036, Average Loss  0.868685, Time  0.169731
2021-09-11 00:40:29.763683 : Epoch  1, Batch     92, Loss  1.627212, Average Loss  1.730002, Time  0.239222
2021-09-11 00:40:31.055171 : Epoch  2, Batch   3227, Loss  0.837336, Average Loss  0.868529, Time  0.172431
2021-09-11 00:40:32.377914 : Epoch  1, Batch     93, Loss  1.628522, Average Loss  1.728911, Time  0.240401
2021-09-11 00:40:32.668757 : Epoch  2, Batch   3228, Loss  0.869556, Average Loss  0.868468, Time  0.169910
2021-09-11 00:40:34.286793 : Epoch  2, Batch   3229, Loss  0.888835, Average Loss  0.868578, Time  0.169599
2021-09-11 00:40:35.002506 : Epoch  1, Batch     94, Loss  1.605487, Average Loss  1.727598, Time  0.242900
2021-09-11 00:40:35.913002 : Epoch  2, Batch   3230, Loss  0.873098, Average Loss  0.868528, Time  0.169870
2021-09-11 00:40:37.568004 : Epoch  2, Batch   3231, Loss  0.862718, Average Loss  0.868350, Time  0.169613
2021-09-11 00:40:37.602970 : Epoch  1, Batch     95, Loss  1.633860, Average Loss  1.726611, Time  0.240525
2021-09-11 00:40:39.207994 : Epoch  2, Batch   3232, Loss  0.839460, Average Loss  0.868322, Time  0.169485
2021-09-11 00:40:40.204859 : Epoch  1, Batch     96, Loss  1.594564, Average Loss  1.725235, Time  0.240831
2021-09-11 00:40:40.827994 : Epoch  2, Batch   3233, Loss  0.866291, Average Loss  0.868303, Time  0.169584
2021-09-11 00:40:42.476983 : Epoch  2, Batch   3234, Loss  0.881061, Average Loss  0.868319, Time  0.169473
2021-09-11 00:40:42.818127 : Epoch  1, Batch     97, Loss  1.611595, Average Loss  1.724064, Time  0.237925
2021-09-11 00:40:44.089891 : Epoch  2, Batch   3235, Loss  0.860224, Average Loss  0.868295, Time  0.172163
2021-09-11 00:40:45.411067 : Epoch  1, Batch     98, Loss  1.588848, Average Loss  1.722684, Time  0.238261
2021-09-11 00:40:45.732962 : Epoch  2, Batch   3236, Loss  0.867443, Average Loss  0.868399, Time  0.176365
2021-09-11 00:40:47.346019 : Epoch  2, Batch   3237, Loss  0.844200, Average Loss  0.868132, Time  0.171934
2021-09-11 00:40:48.025918 : Epoch  1, Batch     99, Loss  1.569204, Average Loss  1.721134, Time  0.240220
2021-09-11 00:40:48.949071 : Epoch  2, Batch   3238, Loss  0.879414, Average Loss  0.868240, Time  0.170119
2021-09-11 00:40:50.565793 : Epoch  2, Batch   3239, Loss  0.881485, Average Loss  0.868458, Time  0.169693
2021-09-11 00:40:50.665095 : Epoch  1, Batch    100, Loss  1.554546, Average Loss  1.719468, Time  0.248110
2021-09-11 00:40:52.195001 : Epoch  2, Batch   3240, Loss  0.908431, Average Loss  0.868696, Time  0.169814
2021-09-11 00:40:53.791590 : Epoch  2, Batch   3241, Loss  0.878276, Average Loss  0.868840, Time  0.170028
2021-09-11 00:40:55.422030 : Epoch  2, Batch   3242, Loss  0.860439, Average Loss  0.868783, Time  0.171346
2021-09-11 00:40:57.064021 : Epoch  2, Batch   3243, Loss  0.868201, Average Loss  0.868764, Time  0.170163
2021-09-11 00:40:58.689843 : Epoch  2, Batch   3244, Loss  0.859983, Average Loss  0.868713, Time  0.171738
2021-09-11 00:41:00.321822 : Epoch  2, Batch   3245, Loss  0.866049, Average Loss  0.868623, Time  0.170267
2021-09-11 00:41:01.950062 : Epoch  2, Batch   3246, Loss  0.885305, Average Loss  0.868715, Time  0.173751
2021-09-11 00:41:03.559034 : Epoch  2, Batch   3247, Loss  0.888270, Average Loss  0.868913, Time  0.170017
2021-09-11 00:41:05.194907 : Epoch  2, Batch   3248, Loss  0.871078, Average Loss  0.868940, Time  0.180595
2021-09-11 00:41:06.819793 : Epoch  2, Batch   3249, Loss  0.889919, Average Loss  0.869064, Time  0.175255
2021-09-11 00:41:08.405911 : Epoch  2, Batch   3250, Loss  0.876900, Average Loss  0.868972, Time  0.169970
2021-09-11 00:41:10.011999 : Epoch  2, Batch   3251, Loss  0.896912, Average Loss  0.869111, Time  0.169645
2021-09-11 00:41:11.628753 : Epoch  2, Batch   3252, Loss  0.876850, Average Loss  0.869146, Time  0.169670
2021-09-11 00:41:13.270772 : Epoch  2, Batch   3253, Loss  0.878848, Average Loss  0.869264, Time  0.169974
2021-09-11 00:41:14.910760 : Epoch  2, Batch   3254, Loss  0.866473, Average Loss  0.869298, Time  0.169789
2021-09-11 00:41:16.539942 : Epoch  2, Batch   3255, Loss  0.867523, Average Loss  0.869236, Time  0.169824
2021-09-11 00:41:18.181820 : Epoch  2, Batch   3256, Loss  0.895059, Average Loss  0.869179, Time  0.173843
2021-09-11 00:41:19.800999 : Epoch  2, Batch   3257, Loss  0.893416, Average Loss  0.869131, Time  0.169272
2021-09-11 00:41:21.432764 : Epoch  2, Batch   3258, Loss  0.881383, Average Loss  0.869216, Time  0.169455
2021-09-11 00:41:23.065873 : Epoch  2, Batch   3259, Loss  0.885553, Average Loss  0.869173, Time  0.169744
2021-09-11 00:41:24.694982 : Epoch  2, Batch   3260, Loss  0.840140, Average Loss  0.869028, Time  0.169461
2021-09-11 00:41:26.319004 : Epoch  2, Batch   3261, Loss  0.867538, Average Loss  0.869051, Time  0.169759
2021-09-11 00:41:27.927937 : Epoch  2, Batch   3262, Loss  0.853015, Average Loss  0.868794, Time  0.170013
2021-09-11 00:41:29.610990 : Epoch  2, Batch   3263, Loss  0.861751, Average Loss  0.868813, Time  0.169676
2021-09-11 00:41:31.244995 : Epoch  2, Batch   3264, Loss  0.882097, Average Loss  0.868871, Time  0.169727
2021-09-11 00:41:32.897756 : Epoch  2, Batch   3265, Loss  0.832732, Average Loss  0.868659, Time  0.171988
2021-09-11 00:41:34.519842 : Epoch  2, Batch   3266, Loss  0.844503, Average Loss  0.868400, Time  0.169463
2021-09-11 00:41:36.150827 : Epoch  2, Batch   3267, Loss  0.880861, Average Loss  0.868452, Time  0.169806
2021-09-11 00:41:37.782845 : Epoch  2, Batch   3268, Loss  0.871882, Average Loss  0.868403, Time  0.171982
2021-09-11 00:41:39.401826 : Epoch  2, Batch   3269, Loss  0.838234, Average Loss  0.868322, Time  0.169592
2021-09-11 00:41:41.038998 : Epoch  2, Batch   3270, Loss  0.890205, Average Loss  0.868372, Time  0.169996
2021-09-11 00:41:42.662998 : Epoch  2, Batch   3271, Loss  0.861516, Average Loss  0.868430, Time  0.169663
2021-09-11 00:41:44.273990 : Epoch  2, Batch   3272, Loss  0.822573, Average Loss  0.868254, Time  0.169411
2021-09-11 00:41:45.901760 : Epoch  2, Batch   3273, Loss  0.884631, Average Loss  0.868211, Time  0.169989
2021-09-11 00:41:47.525896 : Epoch  2, Batch   3274, Loss  0.870317, Average Loss  0.868175, Time  0.169506
2021-09-11 00:41:49.181836 : Epoch  2, Batch   3275, Loss  0.876570, Average Loss  0.868335, Time  0.170376
2021-09-11 00:41:50.812091 : Epoch  2, Batch   3276, Loss  0.876260, Average Loss  0.868318, Time  0.169709
2021-09-11 00:41:52.443041 : Epoch  2, Batch   3277, Loss  0.883124, Average Loss  0.868235, Time  0.169703
2021-09-11 00:41:54.082951 : Epoch  2, Batch   3278, Loss  0.870336, Average Loss  0.868283, Time  0.169890
2021-09-11 00:41:55.712002 : Epoch  2, Batch   3279, Loss  0.866136, Average Loss  0.868207, Time  0.170042
2021-09-11 00:41:57.335048 : Epoch  2, Batch   3280, Loss  0.904405, Average Loss  0.868414, Time  0.169760
2021-09-11 00:41:58.937053 : Epoch  2, Batch   3281, Loss  0.904401, Average Loss  0.868729, Time  0.170135
2021-09-11 00:42:00.566777 : Epoch  2, Batch   3282, Loss  0.856604, Average Loss  0.868581, Time  0.170178
2021-09-11 00:42:02.195027 : Epoch  2, Batch   3283, Loss  0.881128, Average Loss  0.868657, Time  0.169898
2021-09-11 00:42:03.833075 : Epoch  2, Batch   3284, Loss  0.884552, Average Loss  0.868880, Time  0.169791
2021-09-11 00:42:05.438898 : Epoch  2, Batch   3285, Loss  0.881543, Average Loss  0.868830, Time  0.172766
2021-09-11 00:42:07.063067 : Epoch  2, Batch   3286, Loss  0.885144, Average Loss  0.868944, Time  0.171932
2021-09-11 00:42:08.690874 : Epoch  2, Batch   3287, Loss  0.819050, Average Loss  0.868709, Time  0.170199
2021-09-11 00:42:10.308050 : Epoch  2, Batch   3288, Loss  0.884591, Average Loss  0.868616, Time  0.174037
2021-09-11 00:42:17.415755 : Epoch  2, Batch   3289, Loss  0.848501, Average Loss  0.868452, Time  0.176694
2021-09-11 00:44:55.862770 : CheckPoint: Validation Loss  0.00051768, Best Loss  0.00051768
2021-09-11 00:44:55.940556 : Best Model Updated
2021-09-11 00:46:57.516721 : CheckPoint: Validation Loss  0.00060426, Best Loss  0.00057296
2021-09-11 00:46:59.162874 : Epoch  2, Batch   3290, Loss  0.857937, Average Loss  0.868417, Time  0.178479
2021-09-11 00:47:00.760929 : Epoch  2, Batch   3291, Loss  0.878745, Average Loss  0.868555, Time  0.171050
2021-09-11 00:47:02.386002 : Epoch  2, Batch   3292, Loss  0.860634, Average Loss  0.868510, Time  0.183215
2021-09-11 00:47:04.004748 : Epoch  2, Batch   3293, Loss  0.869094, Average Loss  0.868367, Time  0.178248
2021-09-11 00:47:05.639010 : Epoch  2, Batch   3294, Loss  0.872514, Average Loss  0.868436, Time  0.171480
2021-09-11 00:47:07.269031 : Epoch  2, Batch   3295, Loss  0.879687, Average Loss  0.868684, Time  0.170223
2021-09-11 00:47:08.888777 : Epoch  2, Batch   3296, Loss  0.881886, Average Loss  0.868723, Time  0.172662
2021-09-11 00:47:10.489034 : Epoch  2, Batch   3297, Loss  0.878339, Average Loss  0.868866, Time  0.174485
2021-09-11 00:47:12.112027 : Epoch  2, Batch   3298, Loss  0.849316, Average Loss  0.868778, Time  0.178374
2021-09-11 00:47:13.753895 : Epoch  2, Batch   3299, Loss  0.873382, Average Loss  0.868698, Time  0.171413
2021-09-11 00:47:15.382785 : Epoch  2, Batch   3300, Loss  0.859148, Average Loss  0.868564, Time  0.176556
2021-09-11 00:47:17.013835 : Epoch  2, Batch   3301, Loss  0.859075, Average Loss  0.868668, Time  0.171340
2021-09-11 00:47:18.651027 : Epoch  2, Batch   3302, Loss  0.881185, Average Loss  0.868808, Time  0.176605
2021-09-11 00:47:20.272028 : Epoch  2, Batch   3303, Loss  0.903275, Average Loss  0.869035, Time  0.169749
2021-09-11 00:47:21.901027 : Epoch  2, Batch   3304, Loss  0.904546, Average Loss  0.869307, Time  0.172765
2021-09-11 00:47:23.517747 : Epoch  2, Batch   3305, Loss  0.847887, Average Loss  0.869277, Time  0.169774
2021-09-11 00:47:25.142792 : Epoch  2, Batch   3306, Loss  0.922351, Average Loss  0.869716, Time  0.173685
2021-09-11 00:47:26.731994 : Epoch  2, Batch   3307, Loss  0.850265, Average Loss  0.869640, Time  0.170019
2021-09-11 00:47:28.344989 : Epoch  2, Batch   3308, Loss  0.846792, Average Loss  0.869587, Time  0.174183
2021-09-11 00:47:29.981747 : Epoch  2, Batch   3309, Loss  0.878529, Average Loss  0.869665, Time  0.169637
2021-09-11 00:47:31.609996 : Epoch  2, Batch   3310, Loss  0.862679, Average Loss  0.869766, Time  0.169339
2021-09-11 00:47:33.247866 : Epoch  2, Batch   3311, Loss  0.863934, Average Loss  0.869798, Time  0.171862
2021-09-11 00:47:34.878991 : Epoch  2, Batch   3312, Loss  0.843406, Average Loss  0.869623, Time  0.169640
2021-09-11 00:47:36.516985 : Epoch  2, Batch   3313, Loss  0.874139, Average Loss  0.869654, Time  0.169630
2021-09-11 00:47:38.127979 : Epoch  2, Batch   3314, Loss  0.852813, Average Loss  0.869694, Time  0.169609
2021-09-11 00:47:39.763772 : Epoch  2, Batch   3315, Loss  0.871935, Average Loss  0.869645, Time  0.169698
2021-09-11 00:47:41.391796 : Epoch  2, Batch   3316, Loss  0.853816, Average Loss  0.869541, Time  0.169689
2021-09-11 00:47:43.032977 : Epoch  2, Batch   3317, Loss  0.864748, Average Loss  0.869563, Time  0.169688
2021-09-11 00:47:44.655027 : Epoch  2, Batch   3318, Loss  0.887935, Average Loss  0.869577, Time  0.171135
2021-09-11 00:47:46.300766 : Epoch  2, Batch   3319, Loss  0.891919, Average Loss  0.869646, Time  0.169894
2021-09-11 00:47:47.935804 : Epoch  2, Batch   3320, Loss  0.867464, Average Loss  0.869558, Time  0.170082
2021-09-11 00:47:49.558757 : Epoch  2, Batch   3321, Loss  0.876651, Average Loss  0.869556, Time  0.170019
2021-09-11 00:47:51.180980 : Epoch  2, Batch   3322, Loss  0.884869, Average Loss  0.869509, Time  0.169632
2021-09-11 00:47:52.801834 : Epoch  2, Batch   3323, Loss  0.872795, Average Loss  0.869397, Time  0.172523
2021-09-11 00:47:54.420836 : Epoch  2, Batch   3324, Loss  0.866209, Average Loss  0.869243, Time  0.169854
2021-09-11 00:47:56.036775 : Epoch  2, Batch   3325, Loss  0.891334, Average Loss  0.869347, Time  0.169655
2021-09-11 00:47:57.722748 : Epoch  2, Batch   3326, Loss  0.848238, Average Loss  0.869402, Time  0.169618
2021-09-11 00:47:59.324824 : Epoch  2, Batch   3327, Loss  0.846611, Average Loss  0.869332, Time  0.169792
2021-09-11 00:48:00.940921 : Epoch  2, Batch   3328, Loss  0.870300, Average Loss  0.869336, Time  0.169616
2021-09-11 00:48:02.557997 : Epoch  2, Batch   3329, Loss  0.885974, Average Loss  0.869340, Time  0.169600
2021-09-11 00:48:04.174739 : Epoch  2, Batch   3330, Loss  0.870606, Average Loss  0.869344, Time  0.169819
2021-09-11 00:48:05.802890 : Epoch  2, Batch   3331, Loss  0.864871, Average Loss  0.869352, Time  0.169945
2021-09-11 00:48:07.413824 : Epoch  2, Batch   3332, Loss  0.840652, Average Loss  0.869251, Time  0.169635
2021-09-11 00:48:09.041794 : Epoch  2, Batch   3333, Loss  0.837250, Average Loss  0.869060, Time  0.169758
2021-09-11 00:48:10.674728 : Epoch  2, Batch   3334, Loss  0.849567, Average Loss  0.868807, Time  0.169699
2021-09-11 00:48:12.315983 : Epoch  2, Batch   3335, Loss  0.868114, Average Loss  0.868725, Time  0.169677
2021-09-11 00:48:13.931794 : Epoch  2, Batch   3336, Loss  0.901500, Average Loss  0.869016, Time  0.169586
2021-09-11 00:48:15.562732 : Epoch  2, Batch   3337, Loss  0.877652, Average Loss  0.869104, Time  0.170007
2021-09-11 00:48:17.184815 : Epoch  2, Batch   3338, Loss  0.862441, Average Loss  0.869127, Time  0.169581
2021-09-11 00:48:18.832993 : Epoch  2, Batch   3339, Loss  0.866075, Average Loss  0.869030, Time  0.169542
2021-09-11 00:48:20.461805 : Epoch  2, Batch   3340, Loss  0.872876, Average Loss  0.869101, Time  0.169879
2021-09-11 00:48:22.076822 : Epoch  2, Batch   3341, Loss  0.904783, Average Loss  0.869290, Time  0.169797
2021-09-11 00:48:23.682993 : Epoch  2, Batch   3342, Loss  0.883704, Average Loss  0.869424, Time  0.169288
2021-09-11 00:48:25.310878 : Epoch  2, Batch   3343, Loss  0.873935, Average Loss  0.869504, Time  0.169674
2021-09-11 00:48:26.950748 : Epoch  2, Batch   3344, Loss  0.846227, Average Loss  0.869333, Time  0.169441
2021-09-11 00:48:28.590756 : Epoch  2, Batch   3345, Loss  0.833845, Average Loss  0.869066, Time  0.169757
2021-09-11 00:48:30.207981 : Epoch  2, Batch   3346, Loss  0.864545, Average Loss  0.869211, Time  0.169895
2021-09-11 00:48:31.854743 : Epoch  2, Batch   3347, Loss  0.857132, Average Loss  0.869189, Time  0.169831
2021-09-11 00:48:33.472781 : Epoch  2, Batch   3348, Loss  0.900195, Average Loss  0.869463, Time  0.169684
2021-09-11 00:48:35.089990 : Epoch  2, Batch   3349, Loss  0.870518, Average Loss  0.869601, Time  0.169450
2021-09-11 00:48:36.703893 : Epoch  2, Batch   3350, Loss  0.861117, Average Loss  0.869469, Time  0.169355
2021-09-11 00:48:38.330803 : Epoch  2, Batch   3351, Loss  0.884918, Average Loss  0.869653, Time  0.169582
2021-09-11 00:48:39.944989 : Epoch  2, Batch   3352, Loss  0.860365, Average Loss  0.869717, Time  0.169729
2021-09-11 00:48:41.577750 : Epoch  2, Batch   3353, Loss  0.862381, Average Loss  0.869743, Time  0.169707
2021-09-11 00:48:43.209975 : Epoch  2, Batch   3354, Loss  0.869733, Average Loss  0.869700, Time  0.169444
2021-09-11 00:48:44.843749 : Epoch  2, Batch   3355, Loss  0.838129, Average Loss  0.869645, Time  0.169680
2021-09-11 00:48:46.472731 : Epoch  2, Batch   3356, Loss  0.885276, Average Loss  0.869707, Time  0.169934
2021-09-11 00:48:48.111998 : Epoch  2, Batch   3357, Loss  0.837446, Average Loss  0.869649, Time  0.169717
2021-09-11 00:48:49.733980 : Epoch  2, Batch   3358, Loss  0.860781, Average Loss  0.869595, Time  0.169805
2021-09-11 00:48:51.368880 : Epoch  2, Batch   3359, Loss  0.855782, Average Loss  0.869596, Time  0.169887
2021-09-11 00:48:53.006826 : Epoch  2, Batch   3360, Loss  0.891879, Average Loss  0.869754, Time  0.170218
2021-09-11 00:48:54.631016 : Epoch  2, Batch   3361, Loss  0.893504, Average Loss  0.869693, Time  0.170050
2021-09-11 00:48:56.268806 : Epoch  2, Batch   3362, Loss  0.865801, Average Loss  0.869644, Time  0.169697
2021-09-11 00:48:57.914756 : Epoch  2, Batch   3363, Loss  0.882506, Average Loss  0.869636, Time  0.171962
2021-09-11 00:48:59.540877 : Epoch  2, Batch   3364, Loss  0.821758, Average Loss  0.869339, Time  0.172300
2021-09-11 00:49:01.174280 : Epoch  2, Batch   3365, Loss  0.869687, Average Loss  0.869280, Time  0.170494
2021-09-11 00:49:02.791076 : Epoch  2, Batch   3366, Loss  0.866608, Average Loss  0.869267, Time  0.178125
2021-09-11 00:49:04.401025 : Epoch  2, Batch   3367, Loss  0.878272, Average Loss  0.869389, Time  0.170015
2021-09-11 00:49:06.024861 : Epoch  2, Batch   3368, Loss  0.860665, Average Loss  0.869389, Time  0.169736
2021-09-11 00:49:07.656905 : Epoch  2, Batch   3369, Loss  0.860389, Average Loss  0.869500, Time  0.170213
2021-09-11 00:49:09.276741 : Epoch  2, Batch   3370, Loss  0.853385, Average Loss  0.869426, Time  0.176565
2021-09-11 00:49:10.895765 : Epoch  2, Batch   3371, Loss  0.891001, Average Loss  0.869470, Time  0.175405
2021-09-11 00:49:12.517836 : Epoch  2, Batch   3372, Loss  0.880474, Average Loss  0.869469, Time  0.169912
2021-09-11 00:49:14.126810 : Epoch  2, Batch   3373, Loss  0.871789, Average Loss  0.869515, Time  0.170342
2021-09-11 00:49:15.752039 : Epoch  2, Batch   3374, Loss  0.851997, Average Loss  0.869376, Time  0.169836
2021-09-11 00:49:17.345999 : Epoch  2, Batch   3375, Loss  0.903429, Average Loss  0.869471, Time  0.169657
2021-09-11 00:49:18.955842 : Epoch  2, Batch   3376, Loss  0.847202, Average Loss  0.869272, Time  0.169256
2021-09-11 00:49:20.588858 : Epoch  2, Batch   3377, Loss  0.927223, Average Loss  0.869466, Time  0.169673
2021-09-11 00:49:22.218740 : Epoch  2, Batch   3378, Loss  0.892276, Average Loss  0.869703, Time  0.169830
2021-09-11 00:49:23.847992 : Epoch  2, Batch   3379, Loss  0.867976, Average Loss  0.869666, Time  0.169719
2021-09-11 00:49:25.490995 : Epoch  2, Batch   3380, Loss  0.840423, Average Loss  0.869581, Time  0.169967
2021-09-11 00:49:27.137746 : Epoch  2, Batch   3381, Loss  0.895550, Average Loss  0.869823, Time  0.169903
2021-09-11 00:49:28.777879 : Epoch  2, Batch   3382, Loss  0.823316, Average Loss  0.869652, Time  0.169468
2021-09-11 00:49:30.402807 : Epoch  2, Batch   3383, Loss  0.864760, Average Loss  0.869637, Time  0.169568
2021-09-11 00:49:32.019981 : Epoch  2, Batch   3384, Loss  0.891765, Average Loss  0.869816, Time  0.169702
2021-09-11 00:49:33.658838 : Epoch  2, Batch   3385, Loss  0.876536, Average Loss  0.869897, Time  0.169904
2021-09-11 00:49:35.274826 : Epoch  2, Batch   3386, Loss  0.895164, Average Loss  0.870054, Time  0.169554
2021-09-11 00:49:36.891822 : Epoch  2, Batch   3387, Loss  0.844953, Average Loss  0.869894, Time  0.169930
2021-09-11 00:49:38.517898 : Epoch  2, Batch   3388, Loss  0.882612, Average Loss  0.870075, Time  0.169573
2021-09-11 00:49:40.141802 : Epoch  2, Batch   3389, Loss  0.867252, Average Loss  0.870081, Time  0.169650
2021-09-11 00:54:20.828727 : CheckPoint: Validation Loss  0.00063363, Best Loss  0.00057296
2021-09-11 00:54:22.490769 : Epoch  2, Batch   3390, Loss  0.873886, Average Loss  0.870035, Time  0.177694
2021-09-11 00:54:24.123727 : Epoch  2, Batch   3391, Loss  0.902261, Average Loss  0.870191, Time  0.170321
2021-09-11 00:54:25.787784 : Epoch  2, Batch   3392, Loss  0.885610, Average Loss  0.870342, Time  0.169986
2021-09-11 00:54:27.422988 : Epoch  2, Batch   3393, Loss  0.878781, Average Loss  0.870317, Time  0.169955
2021-09-11 00:54:29.061777 : Epoch  2, Batch   3394, Loss  0.858397, Average Loss  0.870358, Time  0.169755
2021-09-11 00:54:30.691872 : Epoch  2, Batch   3395, Loss  0.862932, Average Loss  0.870488, Time  0.169785
2021-09-11 00:54:32.331796 : Epoch  2, Batch   3396, Loss  0.860222, Average Loss  0.870538, Time  0.169979
2021-09-11 00:54:33.977746 : Epoch  2, Batch   3397, Loss  0.872155, Average Loss  0.870439, Time  0.169629
2021-09-11 00:54:35.615818 : Epoch  2, Batch   3398, Loss  0.840124, Average Loss  0.870392, Time  0.170074
2021-09-11 00:54:37.247992 : Epoch  2, Batch   3399, Loss  0.837007, Average Loss  0.870255, Time  0.169872
2021-09-11 00:54:38.872820 : Epoch  2, Batch   3400, Loss  0.861345, Average Loss  0.870058, Time  0.174772
2021-09-11 00:54:40.476031 : Epoch  2, Batch   3401, Loss  0.891006, Average Loss  0.870141, Time  0.170176
2021-09-11 00:54:42.074933 : Epoch  2, Batch   3402, Loss  0.862885, Average Loss  0.870115, Time  0.170758
2021-09-11 00:54:43.676031 : Epoch  2, Batch   3403, Loss  0.858819, Average Loss  0.870035, Time  0.171873
2021-09-11 00:54:45.313036 : Epoch  2, Batch   3404, Loss  0.857802, Average Loss  0.870026, Time  0.175036
2021-09-11 00:54:46.947820 : Epoch  2, Batch   3405, Loss  0.890723, Average Loss  0.870089, Time  0.183383
2021-09-11 00:54:48.602742 : Epoch  2, Batch   3406, Loss  0.880295, Average Loss  0.870291, Time  0.172742
2021-09-11 00:54:50.214996 : Epoch  2, Batch   3407, Loss  0.862457, Average Loss  0.870301, Time  0.169441
2021-09-11 00:54:51.865998 : Epoch  2, Batch   3408, Loss  0.891710, Average Loss  0.870367, Time  0.169930
2021-09-11 00:54:53.503007 : Epoch  2, Batch   3409, Loss  0.847528, Average Loss  0.870255, Time  0.169757
2021-09-11 00:54:55.145794 : Epoch  2, Batch   3410, Loss  0.862541, Average Loss  0.870121, Time  0.169618
2021-09-11 00:54:56.768996 : Epoch  2, Batch   3411, Loss  0.885924, Average Loss  0.870248, Time  0.169491
2021-09-11 00:54:58.404001 : Epoch  2, Batch   3412, Loss  0.906251, Average Loss  0.870368, Time  0.169828
2021-09-11 00:55:00.037003 : Epoch  2, Batch   3413, Loss  0.910000, Average Loss  0.870631, Time  0.170774
2021-09-11 00:55:01.677799 : Epoch  2, Batch   3414, Loss  0.905791, Average Loss  0.870877, Time  0.172468
2021-09-11 00:55:03.343820 : Epoch  2, Batch   3415, Loss  0.845806, Average Loss  0.870794, Time  0.170147
2021-09-11 00:55:04.972789 : Epoch  2, Batch   3416, Loss  0.866298, Average Loss  0.870599, Time  0.176540
2021-09-11 00:55:06.608881 : Epoch  2, Batch   3417, Loss  0.825182, Average Loss  0.870283, Time  0.171177
2021-09-11 00:55:08.216777 : Epoch  2, Batch   3418, Loss  0.860092, Average Loss  0.870324, Time  0.169920
2021-09-11 00:55:09.816815 : Epoch  2, Batch   3419, Loss  0.886148, Average Loss  0.870357, Time  0.173033
2021-09-11 00:55:11.409765 : Epoch  2, Batch   3420, Loss  0.861143, Average Loss  0.870247, Time  0.173923
2021-09-11 00:55:13.021048 : Epoch  2, Batch   3421, Loss  0.870735, Average Loss  0.870310, Time  0.177066
2021-09-11 00:55:14.644750 : Epoch  2, Batch   3422, Loss  0.833224, Average Loss  0.870176, Time  0.174245
2021-09-11 00:55:16.261032 : Epoch  2, Batch   3423, Loss  0.875859, Average Loss  0.870036, Time  0.179129
2021-09-11 00:55:17.888807 : Epoch  2, Batch   3424, Loss  0.868915, Average Loss  0.870130, Time  0.176781
2021-09-11 00:55:19.519033 : Epoch  2, Batch   3425, Loss  0.858233, Average Loss  0.870042, Time  0.173336
2021-09-11 00:55:21.175804 : Epoch  2, Batch   3426, Loss  0.880766, Average Loss  0.870021, Time  0.169957
2021-09-11 00:55:22.782050 : Epoch  2, Batch   3427, Loss  0.865353, Average Loss  0.870161, Time  0.169772
2021-09-11 00:55:24.390828 : Epoch  2, Batch   3428, Loss  0.853543, Average Loss  0.870081, Time  0.170028
2021-09-11 00:55:26.006806 : Epoch  2, Batch   3429, Loss  0.870619, Average Loss  0.869989, Time  0.170808
2021-09-11 00:55:27.632037 : Epoch  2, Batch   3430, Loss  0.881837, Average Loss  0.870033, Time  0.175775
2021-09-11 00:55:29.241036 : Epoch  2, Batch   3431, Loss  0.863464, Average Loss  0.870037, Time  0.173849
2021-09-11 00:55:30.834803 : Epoch  2, Batch   3432, Loss  0.863333, Average Loss  0.870156, Time  0.173660
2021-09-11 00:55:32.469033 : Epoch  2, Batch   3433, Loss  0.851107, Average Loss  0.870080, Time  0.185493
2021-09-11 00:55:34.061816 : Epoch  2, Batch   3434, Loss  0.869352, Average Loss  0.870022, Time  0.174143
2021-09-11 00:55:35.651026 : Epoch  2, Batch   3435, Loss  0.877268, Average Loss  0.870107, Time  0.171232
2021-09-11 00:55:37.251794 : Epoch  2, Batch   3436, Loss  0.874413, Average Loss  0.870142, Time  0.169888
2021-09-11 00:55:38.862835 : Epoch  2, Batch   3437, Loss  0.844104, Average Loss  0.870141, Time  0.170643
2021-09-11 00:55:40.483057 : Epoch  2, Batch   3438, Loss  0.859030, Average Loss  0.870039, Time  0.170767
2021-09-11 00:55:42.096052 : Epoch  2, Batch   3439, Loss  0.831995, Average Loss  0.869792, Time  0.171020
2021-09-11 00:55:43.689034 : Epoch  2, Batch   3440, Loss  0.887891, Average Loss  0.869689, Time  0.170404
2021-09-11 00:55:45.291026 : Epoch  2, Batch   3441, Loss  0.872463, Average Loss  0.869660, Time  0.172243
2021-09-11 00:55:46.907038 : Epoch  2, Batch   3442, Loss  0.886265, Average Loss  0.869789, Time  0.169971
2021-09-11 00:55:48.543738 : Epoch  2, Batch   3443, Loss  0.889187, Average Loss  0.869894, Time  0.178432
2021-09-11 00:55:50.134652 : Epoch  2, Batch   3444, Loss  0.849823, Average Loss  0.869844, Time  0.171653
2021-09-11 00:55:51.731808 : Epoch  2, Batch   3445, Loss  0.857901, Average Loss  0.869803, Time  0.171176
2021-09-11 00:55:53.327799 : Epoch  2, Batch   3446, Loss  0.872424, Average Loss  0.869738, Time  0.172955
2021-09-11 00:55:54.953031 : Epoch  2, Batch   3447, Loss  0.843071, Average Loss  0.869512, Time  0.169697
2021-09-11 00:55:56.564790 : Epoch  2, Batch   3448, Loss  0.911545, Average Loss  0.869715, Time  0.170274
2021-09-11 00:55:58.176753 : Epoch  2, Batch   3449, Loss  0.861687, Average Loss  0.869574, Time  0.170860
2021-09-11 00:55:59.792785 : Epoch  2, Batch   3450, Loss  0.868414, Average Loss  0.869531, Time  0.173915
2021-09-11 00:56:01.408903 : Epoch  2, Batch   3451, Loss  0.873025, Average Loss  0.869412, Time  0.171184
2021-09-11 00:56:03.060754 : Epoch  2, Batch   3452, Loss  0.881065, Average Loss  0.869433, Time  0.172268
2021-09-11 00:56:04.679037 : Epoch  2, Batch   3453, Loss  0.870604, Average Loss  0.869392, Time  0.171584
2021-09-11 00:56:06.275843 : Epoch  2, Batch   3454, Loss  0.905987, Average Loss  0.869589, Time  0.178947
2021-09-11 00:56:07.892758 : Epoch  2, Batch   3455, Loss  0.895554, Average Loss  0.869729, Time  0.170354
2021-09-11 00:56:09.507869 : Epoch  2, Batch   3456, Loss  0.886735, Average Loss  0.869688, Time  0.174077
2021-09-11 00:56:11.126740 : Epoch  2, Batch   3457, Loss  0.876511, Average Loss  0.869603, Time  0.171594
2021-09-11 00:56:12.739020 : Epoch  2, Batch   3458, Loss  0.935739, Average Loss  0.869875, Time  0.172966
2021-09-11 00:56:14.350746 : Epoch  2, Batch   3459, Loss  0.868033, Average Loss  0.869787, Time  0.170245
2021-09-11 00:56:15.973039 : Epoch  2, Batch   3460, Loss  0.849747, Average Loss  0.869835, Time  0.169924
2021-09-11 00:56:17.575033 : Epoch  2, Batch   3461, Loss  0.895977, Average Loss  0.869978, Time  0.170076
2021-09-11 00:56:19.160794 : Epoch  2, Batch   3462, Loss  0.891822, Average Loss  0.870172, Time  0.170053
2021-09-11 00:56:20.794027 : Epoch  2, Batch   3463, Loss  0.848938, Average Loss  0.870108, Time  0.172382
2021-09-11 00:56:22.442874 : Epoch  2, Batch   3464, Loss  0.845379, Average Loss  0.869924, Time  0.174405
2021-09-11 00:56:24.059739 : Epoch  2, Batch   3465, Loss  0.883133, Average Loss  0.870176, Time  0.175965
2021-09-11 00:56:25.663816 : Epoch  2, Batch   3466, Loss  0.892610, Average Loss  0.870416, Time  0.169931
2021-09-11 00:56:27.284739 : Epoch  2, Batch   3467, Loss  0.829804, Average Loss  0.870161, Time  0.169948
2021-09-11 00:56:28.900757 : Epoch  2, Batch   3468, Loss  0.859630, Average Loss  0.870100, Time  0.171331
2021-09-11 00:56:30.508026 : Epoch  2, Batch   3469, Loss  0.864047, Average Loss  0.870229, Time  0.176172
2021-09-11 00:56:32.119775 : Epoch  2, Batch   3470, Loss  0.880328, Average Loss  0.870180, Time  0.175005
2021-09-11 00:56:33.728747 : Epoch  2, Batch   3471, Loss  0.879469, Average Loss  0.870269, Time  0.171352
2021-09-11 00:56:35.319997 : Epoch  2, Batch   3472, Loss  0.875953, Average Loss  0.870536, Time  0.172943
2021-09-11 00:56:36.908772 : Epoch  2, Batch   3473, Loss  0.877853, Average Loss  0.870502, Time  0.170016
2021-09-11 00:56:38.504026 : Epoch  2, Batch   3474, Loss  0.886863, Average Loss  0.870585, Time  0.175328
2021-09-11 00:56:40.104035 : Epoch  2, Batch   3475, Loss  0.853233, Average Loss  0.870468, Time  0.171844
2021-09-11 00:56:41.722912 : Epoch  2, Batch   3476, Loss  0.882038, Average Loss  0.870497, Time  0.175323
2021-09-11 00:56:43.367032 : Epoch  2, Batch   3477, Loss  0.882664, Average Loss  0.870495, Time  0.173372
2021-09-11 00:56:45.003085 : Epoch  2, Batch   3478, Loss  0.837280, Average Loss  0.870330, Time  0.172586
2021-09-11 00:56:46.625817 : Epoch  2, Batch   3479, Loss  0.841775, Average Loss  0.870208, Time  0.169689
2021-09-11 00:56:48.236747 : Epoch  2, Batch   3480, Loss  0.855194, Average Loss  0.869962, Time  0.169715
2021-09-11 00:56:49.841847 : Epoch  2, Batch   3481, Loss  0.878422, Average Loss  0.869832, Time  0.170450
2021-09-11 00:56:51.461025 : Epoch  2, Batch   3482, Loss  0.866128, Average Loss  0.869880, Time  0.173057
2021-09-11 00:56:53.108020 : Epoch  2, Batch   3483, Loss  0.860003, Average Loss  0.869774, Time  0.173016
2021-09-11 00:56:54.691822 : Epoch  2, Batch   3484, Loss  0.904130, Average Loss  0.869872, Time  0.172746
2021-09-11 00:56:56.294033 : Epoch  2, Batch   3485, Loss  0.884955, Average Loss  0.869889, Time  0.172224
2021-09-11 00:56:57.913849 : Epoch  2, Batch   3486, Loss  0.858387, Average Loss  0.869755, Time  0.172725
2021-09-11 00:56:59.519940 : Epoch  2, Batch   3487, Loss  0.905600, Average Loss  0.870188, Time  0.179956
2021-09-11 00:57:01.111732 : Epoch  2, Batch   3488, Loss  0.895859, Average Loss  0.870244, Time  0.171947
2021-09-11 00:57:02.722831 : Epoch  2, Batch   3489, Loss  0.873026, Average Loss  0.870367, Time  0.171295
2021-09-11 01:01:43.149065 : CheckPoint: Validation Loss  0.00059745, Best Loss  0.00057296
2021-09-11 01:01:44.787747 : Epoch  2, Batch   3490, Loss  0.877542, Average Loss  0.870465, Time  0.178178
2021-09-11 01:01:46.414803 : Epoch  2, Batch   3491, Loss  0.844217, Average Loss  0.870292, Time  0.174110
2021-09-11 01:01:48.042786 : Epoch  2, Batch   3492, Loss  0.860941, Average Loss  0.870294, Time  0.170732
2021-09-11 01:01:49.636789 : Epoch  2, Batch   3493, Loss  0.870360, Average Loss  0.870300, Time  0.170627
2021-09-11 01:01:51.269179 : Epoch  2, Batch   3494, Loss  0.879402, Average Loss  0.870335, Time  0.171123
2021-09-11 01:01:52.868025 : Epoch  2, Batch   3495, Loss  0.892607, Average Loss  0.870399, Time  0.170842
2021-09-11 01:01:54.453890 : Epoch  2, Batch   3496, Loss  0.869936, Average Loss  0.870339, Time  0.170448
2021-09-11 01:01:56.061024 : Epoch  2, Batch   3497, Loss  0.880897, Average Loss  0.870352, Time  0.180912
2021-09-11 01:01:57.648722 : Epoch  2, Batch   3498, Loss  0.872958, Average Loss  0.870470, Time  0.169789
2021-09-11 01:01:59.252031 : Epoch  2, Batch   3499, Loss  0.866019, Average Loss  0.870434, Time  0.172967
2021-09-11 01:02:00.865034 : Epoch  2, Batch   3500, Loss  0.874782, Average Loss  0.870512, Time  0.170876
2021-09-11 01:02:02.463288 : Epoch  2, Batch   3501, Loss  0.863658, Average Loss  0.870535, Time  0.170055
2021-09-11 01:02:04.080029 : Epoch  2, Batch   3502, Loss  0.843960, Average Loss  0.870349, Time  0.173786
2021-09-11 01:02:05.693030 : Epoch  2, Batch   3503, Loss  0.891603, Average Loss  0.870290, Time  0.172074
2021-09-11 01:02:07.318035 : Epoch  2, Batch   3504, Loss  0.887614, Average Loss  0.870206, Time  0.173773
2021-09-11 01:02:08.942032 : Epoch  2, Batch   3505, Loss  0.875068, Average Loss  0.870341, Time  0.171927
2021-09-11 01:02:10.542038 : Epoch  2, Batch   3506, Loss  0.880168, Average Loss  0.870130, Time  0.171229
2021-09-11 01:02:12.146034 : Epoch  2, Batch   3507, Loss  0.859755, Average Loss  0.870178, Time  0.182198
2021-09-11 01:02:13.778032 : Epoch  2, Batch   3508, Loss  0.836135, Average Loss  0.870125, Time  0.171431
2021-09-11 01:02:15.392769 : Epoch  2, Batch   3509, Loss  0.896445, Average Loss  0.870214, Time  0.176799
2021-09-11 01:02:17.013026 : Epoch  2, Batch   3510, Loss  0.876379, Average Loss  0.870283, Time  0.173173
2021-09-11 01:02:18.619033 : Epoch  2, Batch   3511, Loss  0.868676, Average Loss  0.870306, Time  0.170091
2021-09-11 01:02:20.249914 : Epoch  2, Batch   3512, Loss  0.860146, Average Loss  0.870390, Time  0.174267
2021-09-11 01:02:21.869034 : Epoch  2, Batch   3513, Loss  0.858961, Average Loss  0.870314, Time  0.170159
2021-09-11 01:02:23.502021 : Epoch  2, Batch   3514, Loss  0.857545, Average Loss  0.870338, Time  0.169748
2021-09-11 01:02:25.125793 : Epoch  2, Batch   3515, Loss  0.891875, Average Loss  0.870438, Time  0.170639
2021-09-11 01:02:26.734059 : Epoch  2, Batch   3516, Loss  0.884285, Average Loss  0.870590, Time  0.172977
2021-09-11 01:02:28.345048 : Epoch  2, Batch   3517, Loss  0.869408, Average Loss  0.870613, Time  0.171187
2021-09-11 01:02:29.959027 : Epoch  2, Batch   3518, Loss  0.883614, Average Loss  0.870592, Time  0.170138
2021-09-11 01:02:31.581036 : Epoch  2, Batch   3519, Loss  0.866625, Average Loss  0.870465, Time  0.172304
2021-09-11 01:02:33.187795 : Epoch  2, Batch   3520, Loss  0.884648, Average Loss  0.870551, Time  0.172221
2021-09-11 01:02:34.791738 : Epoch  2, Batch   3521, Loss  0.848102, Average Loss  0.870408, Time  0.171554
2021-09-11 01:02:36.397025 : Epoch  2, Batch   3522, Loss  0.867700, Average Loss  0.870323, Time  0.174712
2021-09-11 01:02:38.012029 : Epoch  2, Batch   3523, Loss  0.866564, Average Loss  0.870291, Time  0.170742
2021-09-11 01:02:39.612767 : Epoch  2, Batch   3524, Loss  0.863808, Average Loss  0.870279, Time  0.179319
2021-09-11 01:02:41.217030 : Epoch  2, Batch   3525, Loss  0.887707, Average Loss  0.870261, Time  0.173677
2021-09-11 01:02:42.819029 : Epoch  2, Batch   3526, Loss  0.868801, Average Loss  0.870364, Time  0.170443
2021-09-11 01:02:44.501753 : Epoch  2, Batch   3527, Loss  0.894701, Average Loss  0.870605, Time  0.170700
2021-09-11 01:02:46.104941 : Epoch  2, Batch   3528, Loss  0.860071, Average Loss  0.870553, Time  0.170644
2021-09-11 01:02:47.709791 : Epoch  2, Batch   3529, Loss  0.861618, Average Loss  0.870432, Time  0.170902
2021-09-11 01:02:49.317860 : Epoch  2, Batch   3530, Loss  0.873743, Average Loss  0.870447, Time  0.173794
2021-09-11 01:02:50.912743 : Epoch  2, Batch   3531, Loss  0.855051, Average Loss  0.870398, Time  0.170104
2021-09-11 01:02:52.528800 : Epoch  2, Batch   3532, Loss  0.856765, Average Loss  0.870479, Time  0.172065
2021-09-11 01:02:54.132842 : Epoch  2, Batch   3533, Loss  0.843054, Average Loss  0.870508, Time  0.170162
2021-09-11 01:02:55.768029 : Epoch  2, Batch   3534, Loss  0.875233, Average Loss  0.870636, Time  0.170030
2021-09-11 01:02:57.383842 : Epoch  2, Batch   3535, Loss  0.881415, Average Loss  0.870703, Time  0.172602
2021-09-11 01:02:59.010042 : Epoch  2, Batch   3536, Loss  0.880803, Average Loss  0.870599, Time  0.177160
2021-09-11 01:03:00.631034 : Epoch  2, Batch   3537, Loss  0.884784, Average Loss  0.870635, Time  0.180868
2021-09-11 01:03:02.261848 : Epoch  2, Batch   3538, Loss  0.874887, Average Loss  0.870697, Time  0.170622
2021-09-11 01:03:03.861981 : Epoch  2, Batch   3539, Loss  0.853421, Average Loss  0.870634, Time  0.176561
2021-09-11 01:03:05.472782 : Epoch  2, Batch   3540, Loss  0.876983, Average Loss  0.870654, Time  0.179473
2021-09-11 01:03:07.102030 : Epoch  2, Batch   3541, Loss  0.882013, Average Loss  0.870540, Time  0.171768
2021-09-11 01:03:08.718761 : Epoch  2, Batch   3542, Loss  0.883035, Average Loss  0.870537, Time  0.172841
2021-09-11 01:03:10.333874 : Epoch  2, Batch   3543, Loss  0.853394, Average Loss  0.870434, Time  0.174232
2021-09-11 01:03:11.952900 : Epoch  2, Batch   3544, Loss  0.865827, Average Loss  0.870532, Time  0.170232
2021-09-11 01:03:13.562980 : Epoch  2, Batch   3545, Loss  0.863456, Average Loss  0.870680, Time  0.172525
2021-09-11 01:03:15.174755 : Epoch  2, Batch   3546, Loss  0.866330, Average Loss  0.870689, Time  0.170462
2021-09-11 01:03:16.819036 : Epoch  2, Batch   3547, Loss  0.886758, Average Loss  0.870837, Time  0.171291
2021-09-11 01:03:18.454832 : Epoch  2, Batch   3548, Loss  0.895612, Average Loss  0.870815, Time  0.170129
2021-09-11 01:03:20.091032 : Epoch  2, Batch   3549, Loss  0.858741, Average Loss  0.870756, Time  0.175659
2021-09-11 01:03:21.688261 : Epoch  2, Batch   3550, Loss  0.853187, Average Loss  0.870716, Time  0.174223
2021-09-11 01:03:23.293037 : Epoch  2, Batch   3551, Loss  0.841126, Average Loss  0.870497, Time  0.170048
2021-09-11 01:03:24.923042 : Epoch  2, Batch   3552, Loss  0.848813, Average Loss  0.870439, Time  0.170096
2021-09-11 01:03:26.516058 : Epoch  2, Batch   3553, Loss  0.853828, Average Loss  0.870397, Time  0.174235
2021-09-11 01:03:28.124051 : Epoch  2, Batch   3554, Loss  0.845255, Average Loss  0.870274, Time  0.170527
2021-09-11 01:03:29.733031 : Epoch  2, Batch   3555, Loss  0.886882, Average Loss  0.870518, Time  0.174060
2021-09-11 01:03:31.350828 : Epoch  2, Batch   3556, Loss  0.893498, Average Loss  0.870559, Time  0.170609
2021-09-11 01:03:32.980826 : Epoch  2, Batch   3557, Loss  0.865313, Average Loss  0.870698, Time  0.180052
2021-09-11 01:03:34.592030 : Epoch  2, Batch   3558, Loss  0.866224, Average Loss  0.870726, Time  0.171797
2021-09-11 01:03:36.197907 : Epoch  2, Batch   3559, Loss  0.869871, Average Loss  0.870796, Time  0.171474
2021-09-11 01:03:37.813027 : Epoch  2, Batch   3560, Loss  0.897218, Average Loss  0.870823, Time  0.170638
2021-09-11 01:03:39.435040 : Epoch  2, Batch   3561, Loss  0.873835, Average Loss  0.870724, Time  0.170070
2021-09-11 01:03:41.068039 : Epoch  2, Batch   3562, Loss  0.877821, Average Loss  0.870784, Time  0.178521
2021-09-11 01:03:42.684047 : Epoch  2, Batch   3563, Loss  0.841371, Average Loss  0.870579, Time  0.175770
2021-09-11 01:03:44.297030 : Epoch  2, Batch   3564, Loss  0.877526, Average Loss  0.870858, Time  0.170058
2021-09-11 01:03:45.894546 : Epoch  2, Batch   3565, Loss  0.835337, Average Loss  0.870686, Time  0.169744
2021-09-11 01:03:47.500052 : Epoch  2, Batch   3566, Loss  0.877576, Average Loss  0.870741, Time  0.170897
2021-09-11 01:03:49.107826 : Epoch  2, Batch   3567, Loss  0.831389, Average Loss  0.870506, Time  0.174611
2021-09-11 01:03:50.707267 : Epoch  2, Batch   3568, Loss  0.868586, Average Loss  0.870546, Time  0.171224
2021-09-11 01:03:52.296821 : Epoch  2, Batch   3569, Loss  0.853972, Average Loss  0.870514, Time  0.170205
2021-09-11 01:03:53.928805 : Epoch  2, Batch   3570, Loss  0.865090, Average Loss  0.870572, Time  0.169582
2021-09-11 01:03:55.527022 : Epoch  2, Batch   3571, Loss  0.857202, Average Loss  0.870403, Time  0.173289
2021-09-11 01:03:57.127033 : Epoch  2, Batch   3572, Loss  0.840559, Average Loss  0.870204, Time  0.173380
2021-09-11 01:03:58.737028 : Epoch  2, Batch   3573, Loss  0.853516, Average Loss  0.870112, Time  0.173573
2021-09-11 01:04:00.362039 : Epoch  2, Batch   3574, Loss  0.880679, Average Loss  0.870256, Time  0.170149
2021-09-11 01:04:01.962926 : Epoch  2, Batch   3575, Loss  0.879745, Average Loss  0.870137, Time  0.170315
2021-09-11 01:04:03.566837 : Epoch  2, Batch   3576, Loss  0.852166, Average Loss  0.870162, Time  0.169816
2021-09-11 01:04:05.177036 : Epoch  2, Batch   3577, Loss  0.870305, Average Loss  0.869878, Time  0.172896
2021-09-11 01:04:06.801068 : Epoch  2, Batch   3578, Loss  0.867606, Average Loss  0.869754, Time  0.177500
2021-09-11 01:04:08.415787 : Epoch  2, Batch   3579, Loss  0.868801, Average Loss  0.869758, Time  0.170120
2021-09-11 01:04:10.017864 : Epoch  2, Batch   3580, Loss  0.903130, Average Loss  0.870072, Time  0.174454
2021-09-11 01:04:11.643647 : Epoch  2, Batch   3581, Loss  0.847443, Average Loss  0.869831, Time  0.182027
2021-09-11 01:04:13.254743 : Epoch  2, Batch   3582, Loss  0.856936, Average Loss  0.870000, Time  0.175571
2021-09-11 01:04:14.863037 : Epoch  2, Batch   3583, Loss  0.835617, Average Loss  0.869854, Time  0.170120
2021-09-11 01:04:16.492868 : Epoch  2, Batch   3584, Loss  0.877770, Average Loss  0.869784, Time  0.172607
2021-09-11 01:04:18.103029 : Epoch  2, Batch   3585, Loss  0.864062, Average Loss  0.869721, Time  0.169858
2021-09-11 01:04:19.720779 : Epoch  2, Batch   3586, Loss  0.872465, Average Loss  0.869608, Time  0.172817
2021-09-11 01:04:21.348038 : Epoch  2, Batch   3587, Loss  0.859361, Average Loss  0.869680, Time  0.174282
2021-09-11 01:04:22.949058 : Epoch  2, Batch   3588, Loss  0.857059, Average Loss  0.869552, Time  0.172171
2021-09-11 01:04:24.546865 : Epoch  2, Batch   3589, Loss  0.885865, Average Loss  0.869645, Time  0.171268
2021-09-11 01:09:05.072714 : CheckPoint: Validation Loss  0.00063313, Best Loss  0.00057296
2021-09-11 01:09:06.724944 : Epoch  2, Batch   3590, Loss  0.825080, Average Loss  0.869401, Time  0.177804
2021-09-11 01:09:08.321737 : Epoch  2, Batch   3591, Loss  0.851980, Average Loss  0.869150, Time  0.170753
2021-09-11 01:09:09.944776 : Epoch  2, Batch   3592, Loss  0.860800, Average Loss  0.869026, Time  0.173902
2021-09-11 01:09:11.552018 : Epoch  2, Batch   3593, Loss  0.865992, Average Loss  0.868962, Time  0.179199
2021-09-11 01:09:13.167049 : Epoch  2, Batch   3594, Loss  0.872524, Average Loss  0.869033, Time  0.170589
2021-09-11 01:09:14.792045 : Epoch  2, Batch   3595, Loss  0.889437, Average Loss  0.869165, Time  0.170293
2021-09-11 01:09:16.412826 : Epoch  2, Batch   3596, Loss  0.898798, Average Loss  0.869358, Time  0.170050
2021-09-11 01:09:18.016034 : Epoch  2, Batch   3597, Loss  0.878094, Average Loss  0.869388, Time  0.172213
2021-09-11 01:09:19.606030 : Epoch  2, Batch   3598, Loss  0.879142, Average Loss  0.869583, Time  0.170092
2021-09-11 01:09:21.219037 : Epoch  2, Batch   3599, Loss  0.881460, Average Loss  0.869805, Time  0.172086
2021-09-11 01:09:22.829784 : Epoch  2, Batch   3600, Loss  0.876253, Average Loss  0.869879, Time  0.170412
2021-09-11 01:09:24.461031 : Epoch  2, Batch   3601, Loss  0.897008, Average Loss  0.869910, Time  0.179851
2021-09-11 01:09:26.069033 : Epoch  2, Batch   3602, Loss  0.886039, Average Loss  0.870025, Time  0.170118
2021-09-11 01:09:27.682762 : Epoch  2, Batch   3603, Loss  0.871977, Average Loss  0.870091, Time  0.169931
2021-09-11 01:09:29.283776 : Epoch  2, Batch   3604, Loss  0.822501, Average Loss  0.869915, Time  0.170012
2021-09-11 01:09:30.910853 : Epoch  2, Batch   3605, Loss  0.888207, Average Loss  0.869902, Time  0.192405
2021-09-11 01:09:32.551028 : Epoch  2, Batch   3606, Loss  0.906352, Average Loss  0.870032, Time  0.178689
2021-09-11 01:09:34.189820 : Epoch  2, Batch   3607, Loss  0.885281, Average Loss  0.870146, Time  0.170037
2021-09-11 01:09:35.793054 : Epoch  2, Batch   3608, Loss  0.838572, Average Loss  0.869881, Time  0.172743
2021-09-11 01:09:37.387032 : Epoch  2, Batch   3609, Loss  0.905696, Average Loss  0.870172, Time  0.171694
2021-09-11 01:09:39.012036 : Epoch  2, Batch   3610, Loss  0.863393, Average Loss  0.870176, Time  0.180122
2021-09-11 01:09:40.627940 : Epoch  2, Batch   3611, Loss  0.887599, Average Loss  0.870184, Time  0.174111
2021-09-11 01:09:42.271863 : Epoch  2, Batch   3612, Loss  0.853756, Average Loss  0.869922, Time  0.179527
2021-09-11 01:09:43.881086 : Epoch  2, Batch   3613, Loss  0.880735, Average Loss  0.869775, Time  0.170193
2021-09-11 01:09:45.493033 : Epoch  2, Batch   3614, Loss  0.880764, Average Loss  0.869650, Time  0.172595
2021-09-11 01:09:47.136031 : Epoch  2, Batch   3615, Loss  0.851606, Average Loss  0.869679, Time  0.170079
2021-09-11 01:09:48.750027 : Epoch  2, Batch   3616, Loss  0.878154, Average Loss  0.869739, Time  0.170163
2021-09-11 01:09:50.352601 : Epoch  2, Batch   3617, Loss  0.881069, Average Loss  0.870018, Time  0.173017
2021-09-11 01:09:51.952071 : Epoch  2, Batch   3618, Loss  0.888943, Average Loss  0.870162, Time  0.170253
2021-09-11 01:09:53.584797 : Epoch  2, Batch   3619, Loss  0.858900, Average Loss  0.870026, Time  0.175907
2021-09-11 01:09:55.201027 : Epoch  2, Batch   3620, Loss  0.859483, Average Loss  0.870018, Time  0.169824
2021-09-11 01:09:56.813737 : Epoch  2, Batch   3621, Loss  0.869584, Average Loss  0.870012, Time  0.174176
2021-09-11 01:09:58.443030 : Epoch  2, Batch   3622, Loss  0.876839, Average Loss  0.870230, Time  0.169978
2021-09-11 01:10:00.066769 : Epoch  2, Batch   3623, Loss  0.886858, Average Loss  0.870285, Time  0.174807
2021-09-11 01:10:01.676030 : Epoch  2, Batch   3624, Loss  0.841209, Average Loss  0.870146, Time  0.173714
2021-09-11 01:10:03.287031 : Epoch  2, Batch   3625, Loss  0.857472, Average Loss  0.870143, Time  0.173986
2021-09-11 01:10:04.921837 : Epoch  2, Batch   3626, Loss  0.884986, Average Loss  0.870164, Time  0.174916
2021-09-11 01:10:06.612029 : Epoch  2, Batch   3627, Loss  0.888905, Average Loss  0.870281, Time  0.170144
2021-09-11 01:10:08.223828 : Epoch  2, Batch   3628, Loss  0.843998, Average Loss  0.870234, Time  0.173241
2021-09-11 01:10:09.864030 : Epoch  2, Batch   3629, Loss  0.868589, Average Loss  0.870224, Time  0.175997
2021-09-11 01:10:11.466030 : Epoch  2, Batch   3630, Loss  0.870746, Average Loss  0.870168, Time  0.171320
2021-09-11 01:10:13.077035 : Epoch  2, Batch   3631, Loss  0.849945, Average Loss  0.870101, Time  0.169859
2021-09-11 01:10:14.694027 : Epoch  2, Batch   3632, Loss  0.927392, Average Loss  0.870421, Time  0.173074
2021-09-11 01:10:16.316036 : Epoch  2, Batch   3633, Loss  0.888777, Average Loss  0.870609, Time  0.172696
2021-09-11 01:10:17.957058 : Epoch  2, Batch   3634, Loss  0.851391, Average Loss  0.870519, Time  0.183419
2021-09-11 01:10:19.580031 : Epoch  2, Batch   3635, Loss  0.850008, Average Loss  0.870383, Time  0.169943
2021-09-11 01:10:21.208026 : Epoch  2, Batch   3636, Loss  0.869600, Average Loss  0.870359, Time  0.172857
2021-09-11 01:10:22.838746 : Epoch  2, Batch   3637, Loss  0.907165, Average Loss  0.870674, Time  0.170691
2021-09-11 01:10:24.468028 : Epoch  2, Batch   3638, Loss  0.862085, Average Loss  0.870690, Time  0.169974
2021-09-11 01:10:26.088030 : Epoch  2, Batch   3639, Loss  0.872541, Average Loss  0.870892, Time  0.175932
2021-09-11 01:10:27.728028 : Epoch  2, Batch   3640, Loss  0.864375, Average Loss  0.870775, Time  0.178086
2021-09-11 01:10:29.360846 : Epoch  2, Batch   3641, Loss  0.851875, Average Loss  0.870672, Time  0.173109
2021-09-11 01:10:30.966846 : Epoch  2, Batch   3642, Loss  0.878733, Average Loss  0.870634, Time  0.172734
2021-09-11 01:10:32.572036 : Epoch  2, Batch   3643, Loss  0.838796, Average Loss  0.870382, Time  0.169881
2021-09-11 01:10:34.195909 : Epoch  2, Batch   3644, Loss  0.884127, Average Loss  0.870554, Time  0.174089
2021-09-11 01:10:35.805025 : Epoch  2, Batch   3645, Loss  0.860938, Average Loss  0.870569, Time  0.171573
2021-09-11 01:10:37.421016 : Epoch  2, Batch   3646, Loss  0.881224, Average Loss  0.870613, Time  0.173666
2021-09-11 01:10:39.051036 : Epoch  2, Batch   3647, Loss  0.874428, Average Loss  0.870770, Time  0.171729
2021-09-11 01:10:40.681032 : Epoch  2, Batch   3648, Loss  0.852343, Average Loss  0.870474, Time  0.171605
2021-09-11 01:10:42.333746 : Epoch  2, Batch   3649, Loss  0.844886, Average Loss  0.870390, Time  0.177511
2021-09-11 01:10:43.944021 : Epoch  2, Batch   3650, Loss  0.876852, Average Loss  0.870432, Time  0.170127
2021-09-11 01:10:45.581778 : Epoch  2, Batch   3651, Loss  0.867028, Average Loss  0.870402, Time  0.178020
2021-09-11 01:10:47.193921 : Epoch  2, Batch   3652, Loss  0.871380, Average Loss  0.870353, Time  0.170896
2021-09-11 01:10:48.815868 : Epoch  2, Batch   3653, Loss  0.858214, Average Loss  0.870292, Time  0.174105
2021-09-11 01:10:50.434812 : Epoch  2, Batch   3654, Loss  0.862261, Average Loss  0.870073, Time  0.173362
2021-09-11 01:10:52.053024 : Epoch  2, Batch   3655, Loss  0.894997, Average Loss  0.870070, Time  0.171985
2021-09-11 01:10:53.668909 : Epoch  2, Batch   3656, Loss  0.880802, Average Loss  0.870040, Time  0.175630
2021-09-11 01:10:55.304834 : Epoch  2, Batch   3657, Loss  0.859679, Average Loss  0.869956, Time  0.171701
2021-09-11 01:10:56.935024 : Epoch  2, Batch   3658, Loss  0.887631, Average Loss  0.869716, Time  0.176045
2021-09-11 01:10:58.552027 : Epoch  2, Batch   3659, Loss  0.872583, Average Loss  0.869738, Time  0.173190
2021-09-11 01:11:00.159035 : Epoch  2, Batch   3660, Loss  0.861326, Average Loss  0.869796, Time  0.171131
2021-09-11 01:11:01.778842 : Epoch  2, Batch   3661, Loss  0.843193, Average Loss  0.869532, Time  0.169869
2021-09-11 01:11:03.400770 : Epoch  2, Batch   3662, Loss  0.887235, Average Loss  0.869510, Time  0.174017
2021-09-11 01:11:05.033918 : Epoch  2, Batch   3663, Loss  0.876140, Average Loss  0.869646, Time  0.175307
2021-09-11 01:11:06.730754 : Epoch  2, Batch   3664, Loss  0.848102, Average Loss  0.869659, Time  0.170027
2021-09-11 01:11:08.362026 : Epoch  2, Batch   3665, Loss  0.861079, Average Loss  0.869549, Time  0.171201
2021-09-11 01:11:09.994842 : Epoch  2, Batch   3666, Loss  0.889443, Average Loss  0.869533, Time  0.170046
2021-09-11 01:11:11.643826 : Epoch  2, Batch   3667, Loss  0.839723, Average Loss  0.869583, Time  0.171915
2021-09-11 01:11:13.272030 : Epoch  2, Batch   3668, Loss  0.840277, Average Loss  0.869486, Time  0.175198
2021-09-11 01:11:14.896799 : Epoch  2, Batch   3669, Loss  0.869571, Average Loss  0.869513, Time  0.172951
2021-09-11 01:11:16.511747 : Epoch  2, Batch   3670, Loss  0.875539, Average Loss  0.869490, Time  0.171763
2021-09-11 01:11:18.113032 : Epoch  2, Batch   3671, Loss  0.878227, Average Loss  0.869483, Time  0.173318
2021-09-11 01:11:19.758029 : Epoch  2, Batch   3672, Loss  0.856327, Average Loss  0.869385, Time  0.171528
2021-09-11 01:11:21.366064 : Epoch  2, Batch   3673, Loss  0.849719, Average Loss  0.869245, Time  0.175341
2021-09-11 01:11:22.944772 : Epoch  2, Batch   3674, Loss  0.878275, Average Loss  0.869202, Time  0.174422
2021-09-11 01:11:24.543035 : Epoch  2, Batch   3675, Loss  0.889965, Average Loss  0.869385, Time  0.170311
2021-09-11 01:11:26.153442 : Epoch  2, Batch   3676, Loss  0.868273, Average Loss  0.869316, Time  0.169952
2021-09-11 01:11:27.752038 : Epoch  2, Batch   3677, Loss  0.889267, Average Loss  0.869349, Time  0.171140
2021-09-11 01:11:29.348025 : Epoch  2, Batch   3678, Loss  0.869152, Average Loss  0.869509, Time  0.170308
2021-09-11 01:11:30.984024 : Epoch  2, Batch   3679, Loss  0.868039, Average Loss  0.869640, Time  0.175700
2021-09-11 01:11:32.569907 : Epoch  2, Batch   3680, Loss  0.870650, Average Loss  0.869717, Time  0.170086
2021-09-11 01:11:34.173022 : Epoch  2, Batch   3681, Loss  0.856718, Average Loss  0.869609, Time  0.169941
2021-09-11 01:11:35.772025 : Epoch  2, Batch   3682, Loss  0.861009, Average Loss  0.869583, Time  0.170605
2021-09-11 01:11:37.385034 : Epoch  2, Batch   3683, Loss  0.881825, Average Loss  0.869692, Time  0.169975
2021-09-11 01:11:39.018049 : Epoch  2, Batch   3684, Loss  0.864647, Average Loss  0.869495, Time  0.170135
2021-09-11 01:11:40.635032 : Epoch  2, Batch   3685, Loss  0.875490, Average Loss  0.869448, Time  0.174398
2021-09-11 01:11:42.250026 : Epoch  2, Batch   3686, Loss  0.857732, Average Loss  0.869444, Time  0.170172
2021-09-11 01:11:43.884039 : Epoch  2, Batch   3687, Loss  0.896679, Average Loss  0.869400, Time  0.176292
2021-09-11 01:11:45.508033 : Epoch  2, Batch   3688, Loss  0.863100, Average Loss  0.869236, Time  0.170009
2021-09-11 01:11:47.124032 : Epoch  2, Batch   3689, Loss  0.849074, Average Loss  0.869116, Time  0.181814
2021-09-11 01:16:26.697769 : CheckPoint: Validation Loss  0.00062985, Best Loss  0.00057296
2021-09-11 01:16:28.370957 : Epoch  2, Batch   3690, Loss  0.879961, Average Loss  0.869128, Time  0.186034
2021-09-11 01:16:29.986755 : Epoch  2, Batch   3691, Loss  0.871087, Average Loss  0.869263, Time  0.178092
2021-09-11 01:16:31.571761 : Epoch  2, Batch   3692, Loss  0.891462, Average Loss  0.869415, Time  0.180025
2021-09-11 01:16:33.161745 : Epoch  2, Batch   3693, Loss  0.862257, Average Loss  0.869375, Time  0.170112
2021-09-11 01:16:34.746764 : Epoch  2, Batch   3694, Loss  0.848015, Average Loss  0.869218, Time  0.169946
2021-09-11 01:16:36.353942 : Epoch  2, Batch   3695, Loss  0.887939, Average Loss  0.869194, Time  0.171147
2021-09-11 01:16:37.984015 : Epoch  2, Batch   3696, Loss  0.880182, Average Loss  0.869246, Time  0.173887
2021-09-11 01:16:39.588036 : Epoch  2, Batch   3697, Loss  0.874148, Average Loss  0.869212, Time  0.176238
2021-09-11 01:16:41.207030 : Epoch  2, Batch   3698, Loss  0.866111, Average Loss  0.869178, Time  0.180666
2021-09-11 01:16:42.824031 : Epoch  2, Batch   3699, Loss  0.863661, Average Loss  0.869166, Time  0.182617
2021-09-11 01:16:44.460839 : Epoch  2, Batch   3700, Loss  0.887028, Average Loss  0.869227, Time  0.179245
2021-09-11 01:16:46.076044 : Epoch  2, Batch   3701, Loss  0.866060, Average Loss  0.869239, Time  0.178368
2021-09-11 01:16:47.683024 : Epoch  2, Batch   3702, Loss  0.855002, Average Loss  0.869294, Time  0.173025
2021-09-11 01:16:49.300771 : Epoch  2, Batch   3703, Loss  0.890994, Average Loss  0.869291, Time  0.176146
2021-09-11 01:16:50.908779 : Epoch  2, Batch   3704, Loss  0.896558, Average Loss  0.869336, Time  0.171375
2021-09-11 01:16:52.513784 : Epoch  2, Batch   3705, Loss  0.901896, Average Loss  0.869470, Time  0.170696
2021-09-11 01:16:54.130050 : Epoch  2, Batch   3706, Loss  0.884676, Average Loss  0.869493, Time  0.170422
2021-09-11 01:16:55.743030 : Epoch  2, Batch   3707, Loss  0.866471, Average Loss  0.869526, Time  0.180737
2021-09-11 01:16:57.349911 : Epoch  2, Batch   3708, Loss  0.865073, Average Loss  0.869671, Time  0.175677
2021-09-11 01:16:58.953768 : Epoch  2, Batch   3709, Loss  0.873840, Average Loss  0.869558, Time  0.171392
2021-09-11 01:17:00.556922 : Epoch  2, Batch   3710, Loss  0.879254, Average Loss  0.869572, Time  0.170205
2021-09-11 01:17:02.153021 : Epoch  2, Batch   3711, Loss  0.862939, Average Loss  0.869544, Time  0.180566
2021-09-11 01:17:02.268629 : Saving Model after 2-th Epoch.
2021-09-11 01:17:03.445665 : Epoch Finished.
2021-09-11 01:17:08.963697 : Batch Shuffled
2021-09-11 01:17:10.573808 : Epoch  3, Batch      1, Loss  0.843252, Average Loss  0.869459, Time  0.178043
2021-09-11 01:17:12.190777 : Epoch  3, Batch      2, Loss  0.860847, Average Loss  0.869469, Time  0.172957
2021-09-11 01:17:13.802751 : Epoch  3, Batch      3, Loss  0.864886, Average Loss  0.869505, Time  0.170251
2021-09-11 01:17:15.432035 : Epoch  3, Batch      4, Loss  0.893790, Average Loss  0.869515, Time  0.175908
2021-09-11 01:17:17.056034 : Epoch  3, Batch      5, Loss  0.880824, Average Loss  0.869498, Time  0.172050
2021-09-11 01:17:18.670872 : Epoch  3, Batch      6, Loss  0.875783, Average Loss  0.869530, Time  0.189293
2021-09-11 01:17:20.284823 : Epoch  3, Batch      7, Loss  0.880135, Average Loss  0.869512, Time  0.171855
2021-09-11 01:17:21.886034 : Epoch  3, Batch      8, Loss  0.884563, Average Loss  0.869602, Time  0.181013
2021-09-11 01:17:23.494930 : Epoch  3, Batch      9, Loss  0.871045, Average Loss  0.869534, Time  0.172203
2021-09-11 01:17:25.108028 : Epoch  3, Batch     10, Loss  0.896552, Average Loss  0.869776, Time  0.169499
2021-09-11 01:17:26.739742 : Epoch  3, Batch     11, Loss  0.880109, Average Loss  0.869838, Time  0.172023
2021-09-11 01:17:28.353834 : Epoch  3, Batch     12, Loss  0.858376, Average Loss  0.869797, Time  0.170194
2021-09-11 01:17:29.943817 : Epoch  3, Batch     13, Loss  0.857763, Average Loss  0.869767, Time  0.171140
2021-09-11 01:17:31.538032 : Epoch  3, Batch     14, Loss  0.864347, Average Loss  0.869650, Time  0.171160
2021-09-11 01:17:33.125997 : Epoch  3, Batch     15, Loss  0.875266, Average Loss  0.869682, Time  0.170004
2021-09-11 01:17:34.721028 : Epoch  3, Batch     16, Loss  0.885301, Average Loss  0.869635, Time  0.175467
2021-09-11 01:17:36.337838 : Epoch  3, Batch     17, Loss  0.884427, Average Loss  0.869757, Time  0.170493
2021-09-11 01:17:37.965807 : Epoch  3, Batch     18, Loss  0.862760, Average Loss  0.869763, Time  0.172218
2021-09-11 01:17:39.589743 : Epoch  3, Batch     19, Loss  0.876071, Average Loss  0.869775, Time  0.181584
2021-09-11 01:17:41.198817 : Epoch  3, Batch     20, Loss  0.875337, Average Loss  0.869876, Time  0.171706
2021-09-11 01:17:42.813768 : Epoch  3, Batch     21, Loss  0.876429, Average Loss  0.869974, Time  0.173281
2021-09-11 01:17:44.465773 : Epoch  3, Batch     22, Loss  0.861324, Average Loss  0.870066, Time  0.205706
2021-09-11 01:17:46.133823 : Epoch  3, Batch     23, Loss  0.874705, Average Loss  0.870063, Time  0.171774
2021-09-11 01:17:47.746029 : Epoch  3, Batch     24, Loss  0.880428, Average Loss  0.870058, Time  0.170040
2021-09-11 01:17:49.374732 : Epoch  3, Batch     25, Loss  0.875281, Average Loss  0.870030, Time  0.174033
2021-09-11 01:17:51.010853 : Epoch  3, Batch     26, Loss  0.865200, Average Loss  0.869933, Time  0.174527
2021-09-11 01:17:52.639821 : Epoch  3, Batch     27, Loss  0.850722, Average Loss  0.869812, Time  0.170274
2021-09-11 01:17:54.244028 : Epoch  3, Batch     28, Loss  0.862720, Average Loss  0.869858, Time  0.178921
2021-09-11 01:17:55.863757 : Epoch  3, Batch     29, Loss  0.894417, Average Loss  0.869945, Time  0.169877
2021-09-11 01:17:57.497030 : Epoch  3, Batch     30, Loss  0.883265, Average Loss  0.869952, Time  0.173782
2021-09-11 01:17:59.098811 : Epoch  3, Batch     31, Loss  0.846043, Average Loss  0.869767, Time  0.170090
2021-09-11 01:18:00.705027 : Epoch  3, Batch     32, Loss  0.890240, Average Loss  0.869951, Time  0.174187
2021-09-11 01:18:02.343014 : Epoch  3, Batch     33, Loss  0.862710, Average Loss  0.869935, Time  0.179626
2021-09-11 01:18:03.960037 : Epoch  3, Batch     34, Loss  0.879559, Average Loss  0.870016, Time  0.170392
2021-09-11 01:18:05.576807 : Epoch  3, Batch     35, Loss  0.865644, Average Loss  0.870012, Time  0.171723
2021-09-11 01:18:07.187028 : Epoch  3, Batch     36, Loss  0.867110, Average Loss  0.869914, Time  0.174075
2021-09-11 01:18:08.793031 : Epoch  3, Batch     37, Loss  0.886911, Average Loss  0.869871, Time  0.170230
2021-09-11 01:18:10.426010 : Epoch  3, Batch     38, Loss  0.865132, Average Loss  0.869903, Time  0.169572
2021-09-11 01:18:12.053993 : Epoch  3, Batch     39, Loss  0.868524, Average Loss  0.869979, Time  0.169623
2021-09-11 01:18:13.659830 : Epoch  3, Batch     40, Loss  0.861403, Average Loss  0.870081, Time  0.170017
2021-09-11 01:18:15.288999 : Epoch  3, Batch     41, Loss  0.888615, Average Loss  0.870280, Time  0.169875
2021-09-11 01:18:16.910999 : Epoch  3, Batch     42, Loss  0.864132, Average Loss  0.870331, Time  0.169808
2021-09-11 01:18:18.534002 : Epoch  3, Batch     43, Loss  0.877574, Average Loss  0.870493, Time  0.169434
2021-09-11 01:18:20.145981 : Epoch  3, Batch     44, Loss  0.890896, Average Loss  0.870513, Time  0.169872
2021-09-11 01:18:21.783856 : Epoch  3, Batch     45, Loss  0.845209, Average Loss  0.870271, Time  0.169782
2021-09-11 01:18:23.399741 : Epoch  3, Batch     46, Loss  0.886949, Average Loss  0.870380, Time  0.169902
2021-09-11 01:18:25.018996 : Epoch  3, Batch     47, Loss  0.863039, Average Loss  0.870364, Time  0.171923
2021-09-11 01:18:26.656764 : Epoch  3, Batch     48, Loss  0.881656, Average Loss  0.870423, Time  0.170043
2021-09-11 01:18:28.322748 : Epoch  3, Batch     49, Loss  0.862820, Average Loss  0.870251, Time  0.169303
2021-09-11 01:18:29.973746 : Epoch  3, Batch     50, Loss  0.874522, Average Loss  0.870254, Time  0.169923
2021-09-11 01:18:31.608725 : Epoch  3, Batch     51, Loss  0.912630, Average Loss  0.870428, Time  0.169521
2021-09-11 01:18:33.244995 : Epoch  3, Batch     52, Loss  0.879577, Average Loss  0.870619, Time  0.169734
2021-09-11 01:18:34.886786 : Epoch  3, Batch     53, Loss  0.845789, Average Loss  0.870460, Time  0.169607
2021-09-11 01:18:36.508775 : Epoch  3, Batch     54, Loss  0.833623, Average Loss  0.870452, Time  0.169791
2021-09-11 01:18:38.143855 : Epoch  3, Batch     55, Loss  0.881014, Average Loss  0.870469, Time  0.169626
2021-09-11 01:18:39.757083 : Epoch  3, Batch     56, Loss  0.873841, Average Loss  0.870681, Time  0.169648
2021-09-11 01:18:41.390795 : Epoch  3, Batch     57, Loss  0.878009, Average Loss  0.870728, Time  0.175277
2021-09-11 01:18:43.007893 : Epoch  3, Batch     58, Loss  0.843706, Average Loss  0.870677, Time  0.170613
2021-09-11 01:18:44.620027 : Epoch  3, Batch     59, Loss  0.893147, Average Loss  0.870817, Time  0.173545
2021-09-11 01:18:46.242772 : Epoch  3, Batch     60, Loss  0.862814, Average Loss  0.870845, Time  0.170270
2021-09-11 01:18:47.844734 : Epoch  3, Batch     61, Loss  0.851186, Average Loss  0.870899, Time  0.170282
2021-09-11 01:18:49.451065 : Epoch  3, Batch     62, Loss  0.860035, Average Loss  0.870931, Time  0.172498
2021-09-11 01:18:51.080854 : Epoch  3, Batch     63, Loss  0.905568, Average Loss  0.871056, Time  0.175478
2021-09-11 01:18:52.690029 : Epoch  3, Batch     64, Loss  0.873933, Average Loss  0.871027, Time  0.183620
2021-09-11 01:18:54.283832 : Epoch  3, Batch     65, Loss  0.879000, Average Loss  0.871161, Time  0.178262
2021-09-11 01:18:55.905038 : Epoch  3, Batch     66, Loss  0.884485, Average Loss  0.871232, Time  0.172298
2021-09-11 01:18:57.506398 : Epoch  3, Batch     67, Loss  0.884527, Average Loss  0.871316, Time  0.170197
2021-09-11 01:18:59.126028 : Epoch  3, Batch     68, Loss  0.881661, Average Loss  0.871381, Time  0.170146
2021-09-11 01:19:00.737853 : Epoch  3, Batch     69, Loss  0.860176, Average Loss  0.871166, Time  0.169789
2021-09-11 01:19:02.379822 : Epoch  3, Batch     70, Loss  0.861260, Average Loss  0.871235, Time  0.169587
2021-09-11 01:19:04.010753 : Epoch  3, Batch     71, Loss  0.874318, Average Loss  0.871322, Time  0.169795
2021-09-11 01:19:05.633998 : Epoch  3, Batch     72, Loss  0.857576, Average Loss  0.871432, Time  0.169869
2021-09-11 01:19:07.257976 : Epoch  3, Batch     73, Loss  0.869288, Average Loss  0.871389, Time  0.169772
2021-09-11 01:19:08.893996 : Epoch  3, Batch     74, Loss  0.901522, Average Loss  0.871576, Time  0.169932
2021-09-11 01:19:10.530788 : Epoch  3, Batch     75, Loss  0.842440, Average Loss  0.871426, Time  0.169753
2021-09-11 01:19:12.160781 : Epoch  3, Batch     76, Loss  0.865159, Average Loss  0.871455, Time  0.169544
2021-09-11 01:19:13.772845 : Epoch  3, Batch     77, Loss  0.871765, Average Loss  0.871529, Time  0.170188
2021-09-11 01:19:15.398808 : Epoch  3, Batch     78, Loss  0.883587, Average Loss  0.871517, Time  0.169993
2021-09-11 01:23:55.558740 : CheckPoint: Validation Loss  0.00058829, Best Loss  0.00057296
2021-09-11 01:23:57.202946 : Epoch  3, Batch     79, Loss  0.862469, Average Loss  0.871704, Time  0.183982
2021-09-11 01:23:58.811734 : Epoch  3, Batch     80, Loss  0.884565, Average Loss  0.871867, Time  0.170511
2021-09-11 01:24:00.434767 : Epoch  3, Batch     81, Loss  0.906447, Average Loss  0.872096, Time  0.170252
2021-09-11 01:24:02.037017 : Epoch  3, Batch     82, Loss  0.879213, Average Loss  0.872162, Time  0.178748
2021-09-11 01:24:03.641742 : Epoch  3, Batch     83, Loss  0.855058, Average Loss  0.872074, Time  0.170157
2021-09-11 01:24:05.270028 : Epoch  3, Batch     84, Loss  0.854716, Average Loss  0.871901, Time  0.172411
2021-09-11 01:24:06.868918 : Epoch  3, Batch     85, Loss  0.847978, Average Loss  0.871647, Time  0.174613
2021-09-11 01:24:08.468002 : Epoch  3, Batch     86, Loss  0.882339, Average Loss  0.871668, Time  0.169486
2021-09-11 01:24:10.102840 : Epoch  3, Batch     87, Loss  0.863859, Average Loss  0.871591, Time  0.171098
2021-09-11 01:24:11.741838 : Epoch  3, Batch     88, Loss  0.891719, Average Loss  0.871643, Time  0.169902
2021-09-11 01:24:13.379743 : Epoch  3, Batch     89, Loss  0.876566, Average Loss  0.871644, Time  0.185070
2021-09-11 01:24:14.991995 : Epoch  3, Batch     90, Loss  0.895081, Average Loss  0.871635, Time  0.169758
2021-09-11 01:24:16.621833 : Epoch  3, Batch     91, Loss  0.876837, Average Loss  0.871589, Time  0.169625
2021-09-11 01:24:18.247995 : Epoch  3, Batch     92, Loss  0.868297, Average Loss  0.871570, Time  0.169902
2021-09-11 01:24:19.869832 : Epoch  3, Batch     93, Loss  0.864395, Average Loss  0.871780, Time  0.169678
2021-09-11 01:24:21.497993 : Epoch  3, Batch     94, Loss  0.862579, Average Loss  0.871652, Time  0.169907
2021-09-11 01:24:23.135842 : Epoch  3, Batch     95, Loss  0.843802, Average Loss  0.871339, Time  0.169547
2021-09-11 01:24:24.773809 : Epoch  3, Batch     96, Loss  0.865450, Average Loss  0.871240, Time  0.169752
2021-09-11 01:24:26.405792 : Epoch  3, Batch     97, Loss  0.862425, Average Loss  0.871359, Time  0.169723
2021-09-11 01:24:28.038847 : Epoch  3, Batch     98, Loss  0.880449, Average Loss  0.871233, Time  0.170022
2021-09-11 01:24:29.672739 : Epoch  3, Batch     99, Loss  0.884660, Average Loss  0.871339, Time  0.169550
2021-09-11 01:24:31.305002 : Epoch  3, Batch    100, Loss  0.875345, Average Loss  0.871278, Time  0.169652
2021-09-11 01:24:32.946755 : Epoch  3, Batch    101, Loss  0.900999, Average Loss  0.871514, Time  0.169468
2021-09-11 01:24:34.580990 : Epoch  3, Batch    102, Loss  0.870432, Average Loss  0.871462, Time  0.169422
2021-09-11 01:24:36.219838 : Epoch  3, Batch    103, Loss  0.853835, Average Loss  0.871328, Time  0.170156
2021-09-11 01:24:37.823807 : Epoch  3, Batch    104, Loss  0.852697, Average Loss  0.871333, Time  0.172019
2021-09-11 01:24:39.453762 : Epoch  3, Batch    105, Loss  0.871453, Average Loss  0.871300, Time  0.169254
2021-09-11 01:24:41.076826 : Epoch  3, Batch    106, Loss  0.883650, Average Loss  0.871313, Time  0.169791
2021-09-11 01:24:42.695762 : Epoch  3, Batch    107, Loss  0.885332, Average Loss  0.871295, Time  0.169598
2021-09-11 01:24:44.320976 : Epoch  3, Batch    108, Loss  0.877910, Average Loss  0.871390, Time  0.169405
2021-09-11 01:24:45.940781 : Epoch  3, Batch    109, Loss  0.884135, Average Loss  0.871513, Time  0.169858
2021-09-11 01:24:47.602996 : Epoch  3, Batch    110, Loss  0.828639, Average Loss  0.871308, Time  0.169685
2021-09-11 01:24:49.241845 : Epoch  3, Batch    111, Loss  0.866486, Average Loss  0.871256, Time  0.169680
2021-09-11 01:24:50.880734 : Epoch  3, Batch    112, Loss  0.845017, Average Loss  0.871047, Time  0.169900
2021-09-11 01:24:52.520753 : Epoch  3, Batch    113, Loss  0.872375, Average Loss  0.871203, Time  0.169384
2021-09-11 01:24:54.163841 : Epoch  3, Batch    114, Loss  0.865638, Average Loss  0.871244, Time  0.170114
2021-09-11 01:24:55.821995 : Epoch  3, Batch    115, Loss  0.891483, Average Loss  0.871276, Time  0.169393
2021-09-11 01:24:57.452778 : Epoch  3, Batch    116, Loss  0.870054, Average Loss  0.871182, Time  0.169933
2021-09-11 01:24:59.094933 : Epoch  3, Batch    117, Loss  0.897678, Average Loss  0.871451, Time  0.170349
2021-09-11 01:25:00.720762 : Epoch  3, Batch    118, Loss  0.895621, Average Loss  0.871586, Time  0.169762
2021-09-11 01:25:02.359776 : Epoch  3, Batch    119, Loss  0.865908, Average Loss  0.871562, Time  0.169815
2021-09-11 01:25:03.985989 : Epoch  3, Batch    120, Loss  0.872428, Average Loss  0.871674, Time  0.169519
2021-09-11 01:25:05.618991 : Epoch  3, Batch    121, Loss  0.857485, Average Loss  0.871324, Time  0.169604
2021-09-11 01:25:07.253764 : Epoch  3, Batch    122, Loss  0.905642, Average Loss  0.871409, Time  0.169890
2021-09-11 01:25:08.893799 : Epoch  3, Batch    123, Loss  0.850577, Average Loss  0.871405, Time  0.169520
2021-09-11 01:25:10.542734 : Epoch  3, Batch    124, Loss  0.866122, Average Loss  0.871485, Time  0.169799
2021-09-11 01:25:12.163994 : Epoch  3, Batch    125, Loss  0.911798, Average Loss  0.871696, Time  0.169542
2021-09-11 01:25:13.787113 : Epoch  3, Batch    126, Loss  0.861665, Average Loss  0.871469, Time  0.169881
2021-09-11 01:25:15.392994 : Epoch  3, Batch    127, Loss  0.861050, Average Loss  0.871464, Time  0.169834
2021-09-11 01:25:17.016978 : Epoch  3, Batch    128, Loss  0.893799, Average Loss  0.871570, Time  0.169714
2021-09-11 01:25:18.653846 : Epoch  3, Batch    129, Loss  0.861938, Average Loss  0.871558, Time  0.169477
2021-09-11 01:25:20.274739 : Epoch  3, Batch    130, Loss  0.848164, Average Loss  0.871539, Time  0.169726
2021-09-11 01:25:21.901919 : Epoch  3, Batch    131, Loss  0.895339, Average Loss  0.871622, Time  0.169675
2021-09-11 01:25:23.533739 : Epoch  3, Batch    132, Loss  0.878746, Average Loss  0.871822, Time  0.169402
2021-09-11 01:25:25.162010 : Epoch  3, Batch    133, Loss  0.885504, Average Loss  0.871829, Time  0.172133
2021-09-11 01:25:26.799990 : Epoch  3, Batch    134, Loss  0.852091, Average Loss  0.871785, Time  0.169922
2021-09-11 01:25:28.440983 : Epoch  3, Batch    135, Loss  0.866850, Average Loss  0.871713, Time  0.169396
2021-09-11 01:25:30.073828 : Epoch  3, Batch    136, Loss  0.866042, Average Loss  0.871671, Time  0.169358
2021-09-11 01:25:31.699988 : Epoch  3, Batch    137, Loss  0.877087, Average Loss  0.871794, Time  0.171760
2021-09-11 01:25:33.319992 : Epoch  3, Batch    138, Loss  0.883827, Average Loss  0.871989, Time  0.171858
2021-09-11 01:25:34.937997 : Epoch  3, Batch    139, Loss  0.862957, Average Loss  0.871920, Time  0.169508
2021-09-11 01:25:36.557984 : Epoch  3, Batch    140, Loss  0.871070, Average Loss  0.871940, Time  0.169726
2021-09-11 01:25:38.193988 : Epoch  3, Batch    141, Loss  0.854908, Average Loss  0.871858, Time  0.169769
2021-09-11 01:25:39.816973 : Epoch  3, Batch    142, Loss  0.860110, Average Loss  0.871867, Time  0.169929
2021-09-11 01:25:41.423988 : Epoch  3, Batch    143, Loss  0.855220, Average Loss  0.871832, Time  0.169555
2021-09-11 01:25:43.053984 : Epoch  3, Batch    144, Loss  0.863190, Average Loss  0.871673, Time  0.172114
2021-09-11 01:25:44.668993 : Epoch  3, Batch    145, Loss  0.826545, Average Loss  0.871401, Time  0.169309
2021-09-11 01:25:46.301989 : Epoch  3, Batch    146, Loss  0.902795, Average Loss  0.871617, Time  0.169182
2021-09-11 01:25:47.923983 : Epoch  3, Batch    147, Loss  0.866295, Average Loss  0.871510, Time  0.169496
2021-09-11 01:25:49.553993 : Epoch  3, Batch    148, Loss  0.896080, Average Loss  0.871628, Time  0.169586
2021-09-11 01:25:51.177000 : Epoch  3, Batch    149, Loss  0.868689, Average Loss  0.871665, Time  0.169515
2021-09-11 01:25:52.803828 : Epoch  3, Batch    150, Loss  0.880341, Average Loss  0.871850, Time  0.169583
2021-09-11 01:25:54.416987 : Epoch  3, Batch    151, Loss  0.879516, Average Loss  0.871812, Time  0.169419
2021-09-11 01:25:56.103995 : Epoch  3, Batch    152, Loss  0.844786, Average Loss  0.871655, Time  0.169764
2021-09-11 01:25:57.729985 : Epoch  3, Batch    153, Loss  0.891086, Average Loss  0.871870, Time  0.169460
2021-09-11 01:25:59.355855 : Epoch  3, Batch    154, Loss  0.869566, Average Loss  0.871912, Time  0.172057
2021-09-11 01:26:00.984759 : Epoch  3, Batch    155, Loss  0.874286, Average Loss  0.871837, Time  0.169969
2021-09-11 01:26:02.583430 : Epoch  3, Batch    156, Loss  0.873006, Average Loss  0.872003, Time  0.169394
2021-09-11 01:26:04.184273 : Epoch  3, Batch    157, Loss  0.863499, Average Loss  0.872119, Time  0.169580
2021-09-11 01:26:05.795523 : Epoch  3, Batch    158, Loss  0.885622, Average Loss  0.872199, Time  0.169771
2021-09-11 01:26:07.426733 : Epoch  3, Batch    159, Loss  0.855646, Average Loss  0.872100, Time  0.169823
2021-09-11 01:26:09.058032 : Epoch  3, Batch    160, Loss  0.885327, Average Loss  0.872135, Time  0.171421
2021-09-11 01:26:10.671928 : Epoch  3, Batch    161, Loss  0.870379, Average Loss  0.872206, Time  0.169855
2021-09-11 01:26:12.314768 : Epoch  3, Batch    162, Loss  0.895836, Average Loss  0.872436, Time  0.172819
2021-09-11 01:26:13.933027 : Epoch  3, Batch    163, Loss  0.876162, Average Loss  0.872426, Time  0.172875
2021-09-11 01:26:15.526921 : Epoch  3, Batch    164, Loss  0.871707, Average Loss  0.872334, Time  0.170992
2021-09-11 01:26:17.138026 : Epoch  3, Batch    165, Loss  0.865099, Average Loss  0.872319, Time  0.170300
2021-09-11 01:26:18.777032 : Epoch  3, Batch    166, Loss  0.828846, Average Loss  0.872016, Time  0.170654
2021-09-11 01:26:20.404029 : Epoch  3, Batch    167, Loss  0.852773, Average Loss  0.871935, Time  0.172069
2021-09-11 01:26:22.022775 : Epoch  3, Batch    168, Loss  0.877114, Average Loss  0.871980, Time  0.171689
2021-09-11 01:26:23.642023 : Epoch  3, Batch    169, Loss  0.882965, Average Loss  0.872041, Time  0.171602
2021-09-11 01:26:25.276033 : Epoch  3, Batch    170, Loss  0.859047, Average Loss  0.872053, Time  0.177216
2021-09-11 01:26:26.897739 : Epoch  3, Batch    171, Loss  0.852681, Average Loss  0.872011, Time  0.171799
2021-09-11 01:26:28.555034 : Epoch  3, Batch    172, Loss  0.888139, Average Loss  0.872043, Time  0.181708
2021-09-11 01:26:30.151806 : Epoch  3, Batch    173, Loss  0.858299, Average Loss  0.872011, Time  0.170090
2021-09-11 01:26:31.756027 : Epoch  3, Batch    174, Loss  0.870718, Average Loss  0.871987, Time  0.169773
2021-09-11 01:26:33.348027 : Epoch  3, Batch    175, Loss  0.870013, Average Loss  0.872049, Time  0.171591
2021-09-11 01:26:34.957056 : Epoch  3, Batch    176, Loss  0.882728, Average Loss  0.871979, Time  0.176938
2021-09-11 01:26:36.554860 : Epoch  3, Batch    177, Loss  0.883270, Average Loss  0.872080, Time  0.170199
2021-09-11 01:26:38.183030 : Epoch  3, Batch    178, Loss  0.877776, Average Loss  0.872223, Time  0.172385
2021-09-11 01:30:01.801960 : Building dataset train from orignial text documents
2021-09-11 01:30:01.861678 : Building dataset train from orignial text documents
2021-09-11 01:30:27.415689 : Finish Loading dataset train
2021-09-11 01:30:27.462575 : Data Shuffle
2021-09-11 01:30:27.506549 : Start Shuffling
2021-09-11 01:30:28.539008 : Finish Shuffling
2021-09-11 01:30:28.631590 : Generate Batch
2021-09-11 01:30:28.982580 : Building dataset valid from orignial text documents
2021-09-11 01:30:30.115593 : Finish Loading dataset valid
2021-09-11 01:30:30.170556 : Data Shuffle
2021-09-11 01:30:30.219568 : Start Shuffling
2021-09-11 01:30:30.327608 : Finish Shuffling
2021-09-11 01:30:30.379583 : Generate Batch
2021-09-11 01:30:30.467579 : There are 787 batches per epoch
2021-09-11 01:30:30.519554 : Batch Shuffled
2021-09-11 01:30:32.331478 : Epoch  1, Batch      1, Loss  1.266238, Average Loss  1.266238, Time  0.529028
2021-09-11 01:30:33.861788 : Epoch  1, Batch      2, Loss  1.266718, Average Loss  1.266478, Time  0.249763
2021-09-11 01:30:35.401848 : Epoch  1, Batch      3, Loss  1.270294, Average Loss  1.267750, Time  0.234869
2021-09-11 01:30:36.956927 : Epoch  1, Batch      4, Loss  1.268181, Average Loss  1.267858, Time  0.233182
2021-09-11 01:30:38.521904 : Epoch  1, Batch      5, Loss  1.254179, Average Loss  1.265122, Time  0.230034
2021-09-11 01:30:40.063935 : Epoch  1, Batch      6, Loss  1.260204, Average Loss  1.264302, Time  0.240113
2021-09-11 01:30:41.638981 : Epoch  1, Batch      7, Loss  1.247090, Average Loss  1.261843, Time  0.236226
2021-09-11 01:30:43.161014 : Epoch  1, Batch      8, Loss  1.242889, Average Loss  1.259474, Time  0.234747
2021-09-11 01:30:44.751856 : Epoch  1, Batch      9, Loss  1.230446, Average Loss  1.256249, Time  0.233685
2021-09-11 01:30:46.343038 : Epoch  1, Batch     10, Loss  1.211680, Average Loss  1.251792, Time  0.238335
2021-09-11 01:30:47.893840 : Epoch  1, Batch     11, Loss  1.220533, Average Loss  1.248950, Time  0.231232
2021-09-11 01:30:49.429001 : Epoch  1, Batch     12, Loss  1.191804, Average Loss  1.244188, Time  0.230108
2021-09-11 01:30:50.942152 : Epoch  1, Batch     13, Loss  1.185785, Average Loss  1.239695, Time  0.230119
2021-09-11 01:30:52.460023 : Epoch  1, Batch     14, Loss  1.165719, Average Loss  1.234411, Time  0.233613
2021-09-11 01:30:53.995978 : Epoch  1, Batch     15, Loss  1.171857, Average Loss  1.230241, Time  0.230362
2021-09-11 01:30:55.533162 : Epoch  1, Batch     16, Loss  1.136124, Average Loss  1.224359, Time  0.236615
2021-09-11 01:30:57.099030 : Epoch  1, Batch     17, Loss  1.135269, Average Loss  1.219118, Time  0.231010
2021-09-11 01:30:58.649832 : Epoch  1, Batch     18, Loss  1.113309, Average Loss  1.213240, Time  0.233042
2021-09-11 01:31:00.198838 : Epoch  1, Batch     19, Loss  1.105461, Average Loss  1.207567, Time  0.236280
2021-09-11 01:31:01.810374 : Epoch  1, Batch     20, Loss  1.088274, Average Loss  1.201603, Time  0.246323
2021-09-11 01:31:03.355827 : Epoch  1, Batch     21, Loss  1.085381, Average Loss  1.196068, Time  0.230306
2021-09-11 01:31:04.898422 : Epoch  1, Batch     22, Loss  1.064682, Average Loss  1.190096, Time  0.230130
2021-09-11 01:31:06.443879 : Epoch  1, Batch     23, Loss  1.052664, Average Loss  1.184121, Time  0.230327
2021-09-11 01:31:07.987864 : Epoch  1, Batch     24, Loss  1.054026, Average Loss  1.178700, Time  0.231485
2021-09-11 01:31:09.536871 : Epoch  1, Batch     25, Loss  1.044248, Average Loss  1.173322, Time  0.230821
2021-09-11 01:31:11.098030 : Epoch  1, Batch     26, Loss  1.035483, Average Loss  1.168021, Time  0.230058
2021-09-11 01:31:12.645810 : Epoch  1, Batch     27, Loss  1.032580, Average Loss  1.163004, Time  0.230386
2021-09-11 01:31:14.404066 : Epoch  1, Batch     28, Loss  1.014291, Average Loss  1.157693, Time  0.232628
2021-09-11 01:31:16.284086 : Epoch  1, Batch     29, Loss  1.010206, Average Loss  1.152607, Time  0.244777
2021-09-11 01:31:17.993429 : Epoch  1, Batch     30, Loss  1.001936, Average Loss  1.147585, Time  0.232976
2021-09-11 01:31:19.129732 : CheckPoint: Validation Loss  0.00059692, Best Loss  0.00057296
2021-09-11 01:31:19.534712 : Epoch  1, Batch     31, Loss  1.001864, Average Loss  1.142884, Time  0.232434
2021-09-11 01:31:20.754823 : Epoch  3, Batch    179, Loss  0.878022, Average Loss  0.872214, Time  0.184259
2021-09-11 01:31:21.092115 : Epoch  1, Batch     32, Loss  0.992432, Average Loss  1.138183, Time  0.237822
2021-09-11 01:31:22.379754 : Epoch  3, Batch    180, Loss  0.885295, Average Loss  0.872285, Time  0.174285
2021-09-11 01:31:22.649162 : Epoch  1, Batch     33, Loss  0.985513, Average Loss  1.133556, Time  0.233660
2021-09-11 01:31:24.018813 : Epoch  3, Batch    181, Loss  0.858442, Average Loss  0.872120, Time  0.176430
2021-09-11 01:31:24.196640 : Epoch  1, Batch     34, Loss  0.991977, Average Loss  1.129392, Time  0.236054
2021-09-11 01:31:25.635816 : Epoch  3, Batch    182, Loss  0.880581, Average Loss  0.872211, Time  0.180490
2021-09-11 01:31:25.770723 : Epoch  1, Batch     35, Loss  0.980115, Average Loss  1.125127, Time  0.232068
2021-09-11 01:31:27.253017 : Epoch  3, Batch    183, Loss  0.858848, Average Loss  0.872265, Time  0.180349
2021-09-11 01:31:27.320222 : Epoch  1, Batch     36, Loss  0.973445, Average Loss  1.120914, Time  0.232014
2021-09-11 01:31:28.866026 : Epoch  3, Batch    184, Loss  0.864269, Average Loss  0.872147, Time  0.172204
2021-09-11 01:31:28.878996 : Epoch  1, Batch     37, Loss  0.974646, Average Loss  1.116961, Time  0.232263
2021-09-11 01:31:30.445990 : Epoch  1, Batch     38, Loss  0.976522, Average Loss  1.113265, Time  0.234715
2021-09-11 01:31:30.491025 : Epoch  3, Batch    185, Loss  0.870438, Average Loss  0.872098, Time  0.170059
2021-09-11 01:31:32.048892 : Epoch  1, Batch     39, Loss  0.969422, Average Loss  1.109576, Time  0.233196
2021-09-11 01:31:32.145027 : Epoch  3, Batch    186, Loss  0.859593, Average Loss  0.872026, Time  0.177708
2021-09-11 01:31:33.610997 : Epoch  1, Batch     40, Loss  0.968622, Average Loss  1.106053, Time  0.231735
2021-09-11 01:31:33.789019 : Epoch  3, Batch    187, Loss  0.887140, Average Loss  0.872131, Time  0.182744
2021-09-11 01:31:35.152003 : Epoch  1, Batch     41, Loss  0.970256, Average Loss  1.102741, Time  0.231777
2021-09-11 01:31:35.399037 : Epoch  3, Batch    188, Loss  0.888213, Average Loss  0.872254, Time  0.170202
2021-09-11 01:31:36.703130 : Epoch  1, Batch     42, Loss  0.976526, Average Loss  1.099735, Time  0.232738
2021-09-11 01:31:37.035026 : Epoch  3, Batch    189, Loss  0.884689, Average Loss  0.872242, Time  0.169604
2021-09-11 01:31:38.265911 : Epoch  1, Batch     43, Loss  0.962716, Average Loss  1.096549, Time  0.232224
2021-09-11 01:31:38.683036 : Epoch  3, Batch    190, Loss  0.919896, Average Loss  0.872511, Time  0.178419
2021-09-11 01:31:39.916472 : Epoch  1, Batch     44, Loss  0.963284, Average Loss  1.093520, Time  0.232161
2021-09-11 01:31:40.325014 : Epoch  3, Batch    191, Loss  0.846522, Average Loss  0.872469, Time  0.173946
2021-09-11 01:31:41.463977 : Epoch  1, Batch     45, Loss  0.960089, Average Loss  1.090555, Time  0.237048
2021-09-11 01:31:41.932844 : Epoch  3, Batch    192, Loss  0.880417, Average Loss  0.872416, Time  0.169952
2021-09-11 01:31:43.206000 : Epoch  1, Batch     46, Loss  0.961742, Average Loss  1.087755, Time  0.238447
2021-09-11 01:31:43.577764 : Epoch  3, Batch    193, Loss  0.895623, Average Loss  0.872411, Time  0.170675
2021-09-11 01:31:44.763857 : Epoch  1, Batch     47, Loss  0.962245, Average Loss  1.085084, Time  0.237116
2021-09-11 01:31:45.224857 : Epoch  3, Batch    194, Loss  0.875949, Average Loss  0.872281, Time  0.181496
2021-09-11 01:31:46.301854 : Epoch  1, Batch     48, Loss  0.960372, Average Loss  1.082486, Time  0.236585
2021-09-11 01:31:46.857929 : Epoch  3, Batch    195, Loss  0.847446, Average Loss  0.872095, Time  0.176233
2021-09-11 01:31:47.862828 : Epoch  1, Batch     49, Loss  0.957614, Average Loss  1.079938, Time  0.235854
2021-09-11 01:31:48.452576 : Epoch  3, Batch    196, Loss  0.866630, Average Loss  0.872096, Time  0.170134
2021-09-11 01:31:49.430899 : Epoch  1, Batch     50, Loss  0.954733, Average Loss  1.077434, Time  0.238861
2021-09-11 01:31:50.079032 : Epoch  3, Batch    197, Loss  0.838015, Average Loss  0.871961, Time  0.178226
2021-09-11 01:31:50.993898 : Epoch  1, Batch     51, Loss  0.950363, Average Loss  1.074942, Time  0.232845
2021-09-11 01:31:51.725746 : Epoch  3, Batch    198, Loss  0.871825, Average Loss  0.871951, Time  0.170712
2021-09-11 01:31:52.540908 : Epoch  1, Batch     52, Loss  0.954825, Average Loss  1.072632, Time  0.233383
2021-09-11 01:31:53.356034 : Epoch  3, Batch    199, Loss  0.850747, Average Loss  0.871808, Time  0.170171
2021-09-11 01:31:54.094274 : Epoch  1, Batch     53, Loss  0.955576, Average Loss  1.070424, Time  0.232037
2021-09-11 01:31:54.964037 : Epoch  3, Batch    200, Loss  0.865884, Average Loss  0.871823, Time  0.171241
2021-09-11 01:31:55.628390 : Epoch  1, Batch     54, Loss  0.953773, Average Loss  1.068263, Time  0.231281
2021-09-11 01:31:56.561038 : Epoch  3, Batch    201, Loss  0.859990, Average Loss  0.871906, Time  0.179955
2021-09-11 01:31:57.191391 : Epoch  1, Batch     55, Loss  0.949050, Average Loss  1.066096, Time  0.231532
2021-09-11 01:31:58.166035 : Epoch  3, Batch    202, Loss  0.905213, Average Loss  0.872128, Time  0.170407
2021-09-11 01:31:58.739860 : Epoch  1, Batch     56, Loss  0.952704, Average Loss  1.064071, Time  0.231761
2021-09-11 01:31:59.778828 : Epoch  3, Batch    203, Loss  0.865280, Average Loss  0.872130, Time  0.182467
2021-09-11 01:32:00.360956 : Epoch  1, Batch     57, Loss  0.947077, Average Loss  1.062018, Time  0.237883
2021-09-11 01:32:01.400769 : Epoch  3, Batch    204, Loss  0.891587, Average Loss  0.872119, Time  0.176625
2021-09-11 01:32:01.935145 : Epoch  1, Batch     58, Loss  0.953999, Average Loss  1.060156, Time  0.231852
2021-09-11 01:32:03.034760 : Epoch  3, Batch    205, Loss  0.879383, Average Loss  0.872112, Time  0.172642
2021-09-11 01:32:03.517293 : Epoch  1, Batch     59, Loss  0.947984, Average Loss  1.058255, Time  0.251656
2021-09-11 01:32:04.617031 : Epoch  3, Batch    206, Loss  0.856660, Average Loss  0.872016, Time  0.170060
2021-09-11 01:32:05.056898 : Epoch  1, Batch     60, Loss  0.946610, Average Loss  1.056394, Time  0.232271
2021-09-11 01:32:06.228813 : Epoch  3, Batch    207, Loss  0.861363, Average Loss  0.871923, Time  0.171421
2021-09-11 01:32:06.731954 : Epoch  1, Batch     61, Loss  0.943641, Average Loss  1.054546, Time  0.238968
2021-09-11 01:32:07.862827 : Epoch  3, Batch    208, Loss  0.843447, Average Loss  0.871717, Time  0.178279
2021-09-11 01:32:08.282864 : Epoch  1, Batch     62, Loss  0.949278, Average Loss  1.052848, Time  0.233661
2021-09-11 01:32:09.485787 : Epoch  3, Batch    209, Loss  0.880292, Average Loss  0.871763, Time  0.171846
2021-09-11 01:32:09.814931 : Epoch  1, Batch     63, Loss  0.947258, Average Loss  1.051172, Time  0.231535
2021-09-11 01:32:11.103831 : Epoch  3, Batch    210, Loss  0.856571, Average Loss  0.871563, Time  0.172916
2021-09-11 01:32:11.356977 : Epoch  1, Batch     64, Loss  0.952392, Average Loss  1.049628, Time  0.231691
2021-09-11 01:32:12.735933 : Epoch  3, Batch    211, Loss  0.862136, Average Loss  0.871473, Time  0.175818
2021-09-11 01:32:12.936248 : Epoch  1, Batch     65, Loss  0.941456, Average Loss  1.047964, Time  0.234280
2021-09-11 01:32:14.352033 : Epoch  3, Batch    212, Loss  0.855410, Average Loss  0.871459, Time  0.177198
2021-09-11 01:32:14.546205 : Epoch  1, Batch     66, Loss  0.945110, Average Loss  1.046406, Time  0.231832
2021-09-11 01:32:15.943764 : Epoch  3, Batch    213, Loss  0.860244, Average Loss  0.871471, Time  0.178686
2021-09-11 01:32:16.098624 : Epoch  1, Batch     67, Loss  0.945991, Average Loss  1.044907, Time  0.231205
2021-09-11 01:32:17.541031 : Epoch  3, Batch    214, Loss  0.904609, Average Loss  0.871672, Time  0.175579
2021-09-11 01:32:17.689477 : Epoch  1, Batch     68, Loss  0.943050, Average Loss  1.043409, Time  0.237019
2021-09-11 01:32:19.181021 : Epoch  3, Batch    215, Loss  0.851107, Average Loss  0.871552, Time  0.169757
2021-09-11 01:32:19.240944 : Epoch  1, Batch     69, Loss  0.943117, Average Loss  1.041956, Time  0.233459
2021-09-11 01:32:20.781828 : Epoch  1, Batch     70, Loss  0.937359, Average Loss  1.040461, Time  0.233880
2021-09-11 01:32:20.806739 : Epoch  3, Batch    216, Loss  0.852883, Average Loss  0.871389, Time  0.170562
2021-09-11 01:32:22.335908 : Epoch  1, Batch     71, Loss  0.941751, Average Loss  1.039071, Time  0.233470
2021-09-11 01:32:22.443867 : Epoch  3, Batch    217, Loss  0.874963, Average Loss  0.871342, Time  0.169730
2021-09-11 01:32:23.886900 : Epoch  1, Batch     72, Loss  0.937470, Average Loss  1.037660, Time  0.234231
2021-09-11 01:32:24.079035 : Epoch  3, Batch    218, Loss  0.858092, Average Loss  0.871319, Time  0.170143
2021-09-11 01:32:25.443975 : Epoch  1, Batch     73, Loss  0.945683, Average Loss  1.036400, Time  0.236725
2021-09-11 01:32:25.681798 : Epoch  3, Batch    219, Loss  0.866541, Average Loss  0.871271, Time  0.169894
2021-09-11 01:32:27.084930 : Epoch  1, Batch     74, Loss  0.935826, Average Loss  1.035041, Time  0.231164
2021-09-11 01:32:27.306030 : Epoch  3, Batch    220, Loss  0.849143, Average Loss  0.871140, Time  0.169871
2021-09-11 01:32:28.646909 : Epoch  1, Batch     75, Loss  0.929280, Average Loss  1.033631, Time  0.239007
2021-09-11 01:32:28.925784 : Epoch  3, Batch    221, Loss  0.856332, Average Loss  0.871040, Time  0.175620
2021-09-11 01:32:30.214032 : Epoch  1, Batch     76, Loss  0.937457, Average Loss  1.032365, Time  0.234925
2021-09-11 01:32:30.557040 : Epoch  3, Batch    222, Loss  0.871875, Average Loss  0.871092, Time  0.171216
2021-09-11 01:32:31.780971 : Epoch  1, Batch     77, Loss  0.926248, Average Loss  1.030987, Time  0.242690
2021-09-11 01:32:32.176037 : Epoch  3, Batch    223, Loss  0.849212, Average Loss  0.870965, Time  0.173694
2021-09-11 01:32:33.337384 : Epoch  1, Batch     78, Loss  0.929216, Average Loss  1.029682, Time  0.231142
2021-09-11 01:32:33.789879 : Epoch  3, Batch    224, Loss  0.852429, Average Loss  0.870825, Time  0.178423
2021-09-11 01:32:35.059089 : Epoch  1, Batch     79, Loss  0.924458, Average Loss  1.028350, Time  0.268835
2021-09-11 01:32:35.399040 : Epoch  3, Batch    225, Loss  0.884619, Average Loss  0.870872, Time  0.169938
2021-09-11 01:32:36.788918 : Epoch  1, Batch     80, Loss  0.917295, Average Loss  1.026962, Time  0.238636
2021-09-11 01:32:37.016027 : Epoch  3, Batch    226, Loss  0.857236, Average Loss  0.870832, Time  0.175793
2021-09-11 01:32:38.413831 : Epoch  1, Batch     81, Loss  0.911097, Average Loss  1.025532, Time  0.234082
2021-09-11 01:32:38.614764 : Epoch  3, Batch    227, Loss  0.846175, Average Loss  0.870809, Time  0.173959
2021-09-11 01:32:39.978097 : Epoch  1, Batch     82, Loss  0.903556, Average Loss  1.024044, Time  0.231688
2021-09-11 01:32:40.254038 : Epoch  3, Batch    228, Loss  0.852527, Average Loss  0.870758, Time  0.173519
2021-09-11 01:32:41.609918 : Epoch  1, Batch     83, Loss  0.901774, Average Loss  1.022571, Time  0.238235
2021-09-11 01:32:41.887784 : Epoch  3, Batch    229, Loss  0.847220, Average Loss  0.870522, Time  0.169846
2021-09-11 01:32:43.181415 : Epoch  1, Batch     84, Loss  0.880950, Average Loss  1.020885, Time  0.241357
2021-09-11 01:32:43.530798 : Epoch  3, Batch    230, Loss  0.864286, Average Loss  0.870427, Time  0.176565
2021-09-11 01:32:44.745040 : Epoch  1, Batch     85, Loss  0.872782, Average Loss  1.019143, Time  0.238921
2021-09-11 01:32:45.165838 : Epoch  3, Batch    231, Loss  0.873872, Average Loss  0.870566, Time  0.170066
2021-09-11 01:32:46.302071 : Epoch  1, Batch     86, Loss  0.853417, Average Loss  1.017216, Time  0.234095
2021-09-11 01:32:46.784784 : Epoch  3, Batch    232, Loss  0.900087, Average Loss  0.870616, Time  0.170065
2021-09-11 01:32:47.840247 : Finish Loading dataset train
2021-09-11 01:32:47.887144 : Epoch  1, Batch     87, Loss  0.835280, Average Loss  1.015125, Time  0.231431
2021-09-11 01:32:47.928596 : Data Shuffle
2021-09-11 01:32:48.002553 : Start Shuffling
2021-09-11 01:32:48.406062 : Epoch  3, Batch    233, Loss  0.906621, Average Loss  0.870835, Time  0.171051
2021-09-11 01:32:49.226598 : Finish Shuffling
2021-09-11 01:32:49.326602 : Generate Batch
2021-09-11 01:32:49.553099 : Epoch  1, Batch     88, Loss  0.833976, Average Loss  1.013066, Time  0.237863
2021-09-11 01:32:49.750590 : Building dataset valid from orignial text documents
2021-09-11 01:32:50.008864 : Epoch  3, Batch    234, Loss  0.853236, Average Loss  0.870704, Time  0.170819
2021-09-11 01:32:51.093013 : Epoch  1, Batch     89, Loss  0.827245, Average Loss  1.010978, Time  0.230902
2021-09-11 01:32:51.688034 : Epoch  3, Batch    235, Loss  0.859743, Average Loss  0.870674, Time  0.179518
2021-09-11 01:32:52.633388 : Epoch  1, Batch     90, Loss  0.825799, Average Loss  1.008921, Time  0.231119
2021-09-11 01:32:53.311037 : Epoch  3, Batch    236, Loss  0.837538, Average Loss  0.870526, Time  0.170184
2021-09-11 01:32:54.195456 : Epoch  1, Batch     91, Loss  0.827051, Average Loss  1.006922, Time  0.232385
2021-09-11 01:32:54.929035 : Epoch  3, Batch    237, Loss  0.861805, Average Loss  0.870401, Time  0.172552
2021-09-11 01:32:55.750950 : Epoch  1, Batch     92, Loss  0.820209, Average Loss  1.004893, Time  0.234955
2021-09-11 01:32:56.538016 : Epoch  3, Batch    238, Loss  0.854421, Average Loss  0.870347, Time  0.172582
2021-09-11 01:32:57.110902 : Finish Loading dataset valid
2021-09-11 01:32:57.171561 : Data Shuffle
2021-09-11 01:32:57.221552 : Start Shuffling
2021-09-11 01:32:57.296886 : Epoch  1, Batch     93, Loss  0.830781, Average Loss  1.003020, Time  0.234473
2021-09-11 01:32:57.345579 : Finish Shuffling
2021-09-11 01:32:57.398576 : Generate Batch
2021-09-11 01:32:57.499573 : There are 1856 batches per epoch
2021-09-11 01:32:57.547565 : Batch Shuffled
2021-09-11 01:32:58.182019 : Epoch  3, Batch    239, Loss  0.902817, Average Loss  0.870519, Time  0.174480
2021-09-11 01:32:58.843951 : Epoch  1, Batch     94, Loss  0.834942, Average Loss  1.001232, Time  0.234021
2021-09-11 01:32:59.812023 : Epoch  3, Batch    240, Loss  0.883769, Average Loss  0.870630, Time  0.181421
2021-09-11 01:33:00.544595 : Epoch  1, Batch      1, Loss  1.950359, Average Loss  1.950359, Time  0.635210
2021-09-11 01:33:00.588994 : Epoch  1, Batch     95, Loss  0.832523, Average Loss  0.999456, Time  0.365727
2021-09-11 01:33:01.427837 : Epoch  3, Batch    241, Loss  0.897334, Average Loss  0.870674, Time  0.170117
2021-09-11 01:33:02.160384 : Epoch  1, Batch     96, Loss  0.828298, Average Loss  0.997674, Time  0.233476
2021-09-11 01:33:03.068020 : Epoch  3, Batch    242, Loss  0.879628, Average Loss  0.870752, Time  0.181895
2021-09-11 01:33:03.188832 : Epoch  1, Batch      2, Loss  1.954156, Average Loss  1.952258, Time  0.240716
2021-09-11 01:33:03.734916 : Epoch  1, Batch     97, Loss  0.822271, Average Loss  0.995865, Time  0.234183
2021-09-11 01:33:04.678035 : Epoch  3, Batch    243, Loss  0.854286, Average Loss  0.870635, Time  0.170598
2021-09-11 01:33:05.287244 : Epoch  1, Batch     98, Loss  0.820348, Average Loss  0.994074, Time  0.232742
2021-09-11 01:33:05.816850 : Epoch  1, Batch      3, Loss  1.960613, Average Loss  1.955043, Time  0.240819
2021-09-11 01:33:06.300028 : Epoch  3, Batch    244, Loss  0.878964, Average Loss  0.870575, Time  0.174680
2021-09-11 01:33:06.822138 : Epoch  1, Batch     99, Loss  0.828093, Average Loss  0.992398, Time  0.231576
2021-09-11 01:33:07.934752 : Epoch  3, Batch    245, Loss  0.863315, Average Loss  0.870666, Time  0.171783
2021-09-11 01:33:08.607182 : Epoch  1, Batch      4, Loss  1.954820, Average Loss  1.954987, Time  0.400425
2021-09-11 01:33:08.665949 : Epoch  1, Batch    100, Loss  0.811081, Average Loss  0.990585, Time  0.456444
2021-09-11 01:33:09.541035 : Epoch  3, Batch    246, Loss  0.842238, Average Loss  0.870442, Time  0.169867
2021-09-11 01:33:11.167803 : Epoch  3, Batch    247, Loss  0.868446, Average Loss  0.870469, Time  0.172852
2021-09-11 01:33:11.232901 : Epoch  1, Batch      5, Loss  1.948717, Average Loss  1.953733, Time  0.237902
2021-09-11 01:33:12.803029 : Epoch  3, Batch    248, Loss  0.869808, Average Loss  0.870410, Time  0.176126
2021-09-11 01:33:13.879429 : Epoch  1, Batch      6, Loss  1.935350, Average Loss  1.950669, Time  0.237864
2021-09-11 01:33:14.412025 : Epoch  3, Batch    249, Loss  0.876151, Average Loss  0.870477, Time  0.169859
2021-09-11 01:33:16.036767 : Epoch  3, Batch    250, Loss  0.831019, Average Loss  0.870259, Time  0.173743
2021-09-11 01:33:16.572819 : Epoch  1, Batch      7, Loss  1.932000, Average Loss  1.948002, Time  0.240878
2021-09-11 01:33:17.651137 : Epoch  3, Batch    251, Loss  0.848902, Average Loss  0.869941, Time  0.172246
2021-09-11 01:33:19.278436 : Epoch  1, Batch      8, Loss  1.932248, Average Loss  1.946033, Time  0.242864
2021-09-11 01:33:19.295847 : Epoch  3, Batch    252, Loss  0.878198, Average Loss  0.869934, Time  0.173848
2021-09-11 01:33:20.938746 : Epoch  3, Batch    253, Loss  0.886923, Average Loss  0.870140, Time  0.176673
2021-09-11 01:33:21.898935 : Epoch  1, Batch      9, Loss  1.912994, Average Loss  1.942362, Time  0.239589
2021-09-11 01:33:22.583844 : Epoch  3, Batch    254, Loss  0.839715, Average Loss  0.870170, Time  0.174797
2021-09-11 01:33:24.222037 : Epoch  3, Batch    255, Loss  0.868099, Average Loss  0.870105, Time  0.180969
2021-09-11 01:33:24.515823 : Epoch  1, Batch     10, Loss  1.907361, Average Loss  1.938862, Time  0.240634
2021-09-11 01:33:25.843882 : Epoch  3, Batch    256, Loss  0.872897, Average Loss  0.870101, Time  0.171072
2021-09-11 01:33:27.159832 : Epoch  1, Batch     11, Loss  1.888969, Average Loss  1.934326, Time  0.241853
2021-09-11 01:33:27.487032 : Epoch  3, Batch    257, Loss  0.862021, Average Loss  0.870021, Time  0.186754
2021-09-11 01:33:29.111031 : Epoch  3, Batch    258, Loss  0.862021, Average Loss  0.870112, Time  0.172952
2021-09-11 01:33:29.832867 : Epoch  1, Batch     12, Loss  1.871135, Average Loss  1.929060, Time  0.237337
2021-09-11 01:33:30.751033 : Epoch  3, Batch    259, Loss  0.878470, Average Loss  0.870039, Time  0.172689
2021-09-11 01:33:32.358030 : Epoch  3, Batch    260, Loss  0.848046, Average Loss  0.869965, Time  0.174789
2021-09-11 01:33:32.466872 : Epoch  1, Batch     13, Loss  1.869383, Average Loss  1.924470, Time  0.243514
2021-09-11 01:33:33.951755 : Epoch  3, Batch    261, Loss  0.869039, Average Loss  0.870054, Time  0.170018
2021-09-11 01:33:35.085020 : Epoch  1, Batch     14, Loss  1.847327, Average Loss  1.918959, Time  0.242494
2021-09-11 01:33:35.568025 : Epoch  3, Batch    262, Loss  0.837126, Average Loss  0.869940, Time  0.174012
2021-09-11 01:33:37.188817 : Epoch  3, Batch    263, Loss  0.879216, Average Loss  0.869808, Time  0.174743
2021-09-11 01:33:37.710936 : Epoch  1, Batch     15, Loss  1.835948, Average Loss  1.913425, Time  0.240428
2021-09-11 01:33:38.791028 : Epoch  3, Batch    264, Loss  0.883708, Average Loss  0.869857, Time  0.174693
2021-09-11 01:33:40.338079 : Epoch  1, Batch     16, Loss  1.825349, Average Loss  1.907921, Time  0.240615
2021-09-11 01:33:40.383785 : Epoch  3, Batch    265, Loss  0.892033, Average Loss  0.869922, Time  0.172551
2021-09-11 01:33:41.975080 : Epoch  3, Batch    266, Loss  0.876184, Average Loss  0.869881, Time  0.169758
2021-09-11 01:33:42.986065 : Epoch  1, Batch     17, Loss  1.806442, Average Loss  1.901951, Time  0.243670
2021-09-11 01:33:43.617739 : Epoch  3, Batch    267, Loss  0.842392, Average Loss  0.869670, Time  0.175947
2021-09-11 01:33:45.223021 : Epoch  3, Batch    268, Loss  0.851762, Average Loss  0.869520, Time  0.169895
2021-09-11 01:33:45.632162 : Epoch  1, Batch     18, Loss  1.800748, Average Loss  1.896329, Time  0.248355
2021-09-11 01:33:46.851868 : Epoch  3, Batch    269, Loss  0.874291, Average Loss  0.869591, Time  0.170546
2021-09-11 01:33:48.265851 : Epoch  1, Batch     19, Loss  1.766007, Average Loss  1.889470, Time  0.241124
2021-09-11 01:33:48.488031 : Epoch  3, Batch    270, Loss  0.818520, Average Loss  0.869377, Time  0.181664
2021-09-11 01:33:50.093047 : Epoch  3, Batch    271, Loss  0.888816, Average Loss  0.869450, Time  0.173622
2021-09-11 01:33:50.959831 : Epoch  1, Batch     20, Loss  1.756301, Average Loss  1.882811, Time  0.251989
2021-09-11 01:33:51.762033 : Epoch  3, Batch    272, Loss  0.889453, Average Loss  0.869609, Time  0.173211
2021-09-11 01:33:53.400082 : Epoch  3, Batch    273, Loss  0.886072, Average Loss  0.869693, Time  0.171549
2021-09-11 01:33:53.628860 : Epoch  1, Batch     21, Loss  1.757623, Average Loss  1.876850, Time  0.262452
2021-09-11 01:33:55.000809 : Epoch  3, Batch    274, Loss  0.850139, Average Loss  0.869436, Time  0.170098
2021-09-11 01:33:56.284842 : Epoch  1, Batch     22, Loss  1.745276, Average Loss  1.870869, Time  0.239702
2021-09-11 01:33:56.617823 : Epoch  3, Batch    275, Loss  0.828998, Average Loss  0.869369, Time  0.170324
2021-09-11 01:33:58.257781 : Epoch  3, Batch    276, Loss  0.858976, Average Loss  0.869338, Time  0.169902
2021-09-11 01:33:58.919873 : Epoch  1, Batch     23, Loss  1.734353, Average Loss  1.864934, Time  0.238662
2021-09-11 01:33:59.874016 : Epoch  3, Batch    277, Loss  0.845506, Average Loss  0.869207, Time  0.170082
2021-09-11 01:34:01.506866 : Epoch  3, Batch    278, Loss  0.849011, Average Loss  0.869034, Time  0.174974
2021-09-11 01:34:01.543410 : Epoch  1, Batch     24, Loss  1.722064, Average Loss  1.858981, Time  0.241487
2021-09-11 01:34:04.151831 : Epoch  1, Batch     25, Loss  1.720943, Average Loss  1.853459, Time  0.242863
2021-09-11 01:34:06.765045 : Epoch  1, Batch     26, Loss  1.709949, Average Loss  1.847940, Time  0.238085
2021-09-11 01:34:06.809699 : CheckPoint: Validation Loss  0.00033942, Best Loss  0.00033942
2021-09-11 01:34:06.845558 : Best Model Updated
2021-09-11 01:34:09.498846 : Epoch  1, Batch     27, Loss  1.707191, Average Loss  1.842727, Time  0.358393
2021-09-11 01:34:09.595020 : Epoch  1, Batch    101, Loss  0.818140, Average Loss  0.988877, Time  0.302105
2021-09-11 01:34:11.152042 : Epoch  1, Batch    102, Loss  0.811679, Average Loss  0.987140, Time  0.232344
2021-09-11 01:34:12.175852 : Epoch  1, Batch     28, Loss  1.703050, Average Loss  1.837738, Time  0.242154
2021-09-11 01:34:12.734077 : Epoch  1, Batch    103, Loss  0.812729, Average Loss  0.985447, Time  0.232447
2021-09-11 01:34:14.275996 : Epoch  1, Batch    104, Loss  0.809020, Average Loss  0.983750, Time  0.231413
2021-09-11 01:34:14.796405 : Epoch  1, Batch     29, Loss  1.702799, Average Loss  1.833085, Time  0.240362
2021-09-11 01:34:15.810433 : Epoch  1, Batch    105, Loss  0.801996, Average Loss  0.982019, Time  0.231254
2021-09-11 01:34:17.586238 : Epoch  1, Batch    106, Loss  0.806492, Average Loss  0.980363, Time  0.444832
2021-09-11 01:34:17.636018 : Epoch  1, Batch     30, Loss  1.698893, Average Loss  1.828612, Time  0.411108
2021-09-11 01:34:19.119711 : Epoch  1, Batch    107, Loss  0.806099, Average Loss  0.978735, Time  0.231699
2021-09-11 01:34:20.250824 : Epoch  1, Batch     31, Loss  1.700140, Average Loss  1.824468, Time  0.239133
2021-09-11 01:34:20.685141 : Epoch  1, Batch    108, Loss  0.798582, Average Loss  0.977067, Time  0.232076
2021-09-11 01:34:22.239992 : Epoch  1, Batch    109, Loss  0.784118, Average Loss  0.975296, Time  0.231253
2021-09-11 01:34:22.868099 : Epoch  1, Batch     32, Loss  1.689040, Average Loss  1.820236, Time  0.241859
2021-09-11 01:34:23.804895 : Epoch  1, Batch    110, Loss  0.777690, Average Loss  0.973500, Time  0.237789
2021-09-11 01:34:25.526220 : Epoch  1, Batch    111, Loss  0.758602, Average Loss  0.971564, Time  0.398502
2021-09-11 01:34:25.588443 : Epoch  1, Batch     33, Loss  1.678635, Average Loss  1.815945, Time  0.345320
2021-09-11 01:34:27.070933 : Epoch  1, Batch    112, Loss  0.743466, Average Loss  0.969527, Time  0.237119
2021-09-11 01:34:28.246382 : Epoch  1, Batch     34, Loss  1.682189, Average Loss  1.812011, Time  0.245592
2021-09-11 01:34:28.635885 : Epoch  1, Batch    113, Loss  0.715004, Average Loss  0.967275, Time  0.236771
2021-09-11 01:34:30.178895 : Epoch  1, Batch    114, Loss  0.713957, Average Loss  0.965053, Time  0.234211
2021-09-11 01:34:30.849879 : Epoch  1, Batch     35, Loss  1.684307, Average Loss  1.808362, Time  0.240847
2021-09-11 01:34:31.730357 : Epoch  1, Batch    115, Loss  0.696788, Average Loss  0.962720, Time  0.239240
2021-09-11 01:34:33.392071 : Epoch  1, Batch    116, Loss  0.685689, Average Loss  0.960332, Time  0.324132
2021-09-11 01:34:33.526049 : Epoch  1, Batch     36, Loss  1.680804, Average Loss  1.804819, Time  0.280617
2021-09-11 01:34:34.967994 : Epoch  1, Batch    117, Loss  0.685432, Average Loss  0.957982, Time  0.232163
2021-09-11 01:34:36.183957 : Epoch  1, Batch     37, Loss  1.673244, Average Loss  1.801263, Time  0.244573
2021-09-11 01:34:36.496994 : Epoch  1, Batch    118, Loss  0.680043, Average Loss  0.955627, Time  0.231328
2021-09-11 01:34:38.047998 : Epoch  1, Batch    119, Loss  0.682203, Average Loss  0.953329, Time  0.237323
2021-09-11 01:34:38.803822 : Epoch  1, Batch     38, Loss  1.663856, Average Loss  1.797647, Time  0.238251
2021-09-11 01:34:39.593176 : Epoch  1, Batch    120, Loss  0.684126, Average Loss  0.951086, Time  0.233716
2021-09-11 01:34:41.133089 : Epoch  1, Batch    121, Loss  0.666649, Average Loss  0.948735, Time  0.230937
2021-09-11 01:34:41.432357 : Epoch  1, Batch     39, Loss  1.670912, Average Loss  1.794397, Time  0.237957
2021-09-11 01:34:42.797379 : Epoch  1, Batch    122, Loss  0.655905, Average Loss  0.946335, Time  0.230969
2021-09-11 01:34:44.172421 : Epoch  1, Batch     40, Loss  1.673555, Average Loss  1.791376, Time  0.240959
2021-09-11 01:34:44.383127 : Epoch  1, Batch    123, Loss  0.680528, Average Loss  0.944174, Time  0.240560
2021-09-11 01:34:45.965391 : Epoch  1, Batch    124, Loss  0.665732, Average Loss  0.941928, Time  0.230979
2021-09-11 01:34:46.861207 : Epoch  1, Batch     41, Loss  1.678262, Average Loss  1.788617, Time  0.239893
2021-09-11 01:34:47.520261 : Epoch  1, Batch    125, Loss  0.679070, Average Loss  0.939826, Time  0.233562
2021-09-11 01:34:49.127401 : Epoch  1, Batch    126, Loss  0.664387, Average Loss  0.937640, Time  0.231360
2021-09-11 01:34:49.568374 : Epoch  1, Batch     42, Loss  1.675410, Average Loss  1.785922, Time  0.238420
2021-09-11 01:34:50.682078 : Epoch  1, Batch    127, Loss  0.659420, Average Loss  0.935449, Time  0.238137
2021-09-11 01:34:52.387853 : Epoch  1, Batch     43, Loss  1.673814, Average Loss  1.783315, Time  0.439792
2021-09-11 01:34:52.435835 : Epoch  1, Batch    128, Loss  0.666858, Average Loss  0.933350, Time  0.387489
2021-09-11 01:34:53.981009 : Epoch  1, Batch    129, Loss  0.676133, Average Loss  0.931357, Time  0.233015
2021-09-11 01:34:55.007846 : Epoch  1, Batch     44, Loss  1.675149, Average Loss  1.780856, Time  0.238212
2021-09-11 01:34:55.519213 : Epoch  1, Batch    130, Loss  0.659653, Average Loss  0.929266, Time  0.235531
2021-09-11 01:34:57.071170 : Epoch  1, Batch    131, Loss  0.668534, Average Loss  0.927276, Time  0.231336
2021-09-11 01:34:57.652882 : Epoch  1, Batch     45, Loss  1.666550, Average Loss  1.778316, Time  0.240140
2021-09-11 01:34:58.620415 : Epoch  1, Batch    132, Loss  0.658808, Average Loss  0.925242, Time  0.235512
2021-09-11 01:35:00.340017 : Epoch  1, Batch    133, Loss  0.666235, Average Loss  0.923295, Time  0.402050
2021-09-11 01:35:00.388867 : Epoch  1, Batch     46, Loss  1.666622, Average Loss  1.775888, Time  0.340714
2021-09-11 01:35:01.908914 : Epoch  1, Batch    134, Loss  0.667316, Average Loss  0.921385, Time  0.247400
2021-09-11 01:35:03.307359 : Epoch  1, Batch     47, Loss  1.693957, Average Loss  1.774145, Time  0.282672
2021-09-11 01:35:03.473963 : Epoch  1, Batch    135, Loss  0.653778, Average Loss  0.919402, Time  0.241766
2021-09-11 01:35:05.031986 : Epoch  1, Batch    136, Loss  0.652270, Average Loss  0.917438, Time  0.232190
2021-09-11 01:35:06.267711 : Epoch  1, Batch     48, Loss  1.675774, Average Loss  1.772096, Time  0.241400
2021-09-11 01:35:06.587127 : Epoch  1, Batch    137, Loss  0.658107, Average Loss  0.915545, Time  0.232273
2021-09-11 01:35:08.153017 : Epoch  1, Batch    138, Loss  0.661915, Average Loss  0.913707, Time  0.231568
2021-09-11 01:35:08.928909 : Epoch  1, Batch     49, Loss  1.665833, Average Loss  1.769927, Time  0.238038
2021-09-11 01:35:09.690780 : Epoch  1, Batch    139, Loss  0.647779, Average Loss  0.911794, Time  0.231211
2021-09-11 01:35:11.237268 : Epoch  1, Batch    140, Loss  0.653988, Average Loss  0.909953, Time  0.239780
2021-09-11 01:35:11.581037 : Epoch  1, Batch     50, Loss  1.678791, Average Loss  1.768104, Time  0.248501
2021-09-11 01:35:12.797400 : Epoch  1, Batch    141, Loss  0.653576, Average Loss  0.908134, Time  0.231555
2021-09-11 01:35:14.345975 : Epoch  1, Batch     51, Loss  1.658535, Average Loss  1.765956, Time  0.362302
2021-09-11 01:35:14.435906 : Epoch  1, Batch    142, Loss  0.641393, Average Loss  0.906256, Time  0.290911
2021-09-11 01:35:15.985184 : Epoch  1, Batch    143, Loss  0.660235, Average Loss  0.904536, Time  0.230916
2021-09-11 01:35:16.975837 : Epoch  1, Batch     52, Loss  1.664310, Average Loss  1.764001, Time  0.243000
2021-09-11 01:35:17.523634 : Epoch  1, Batch    144, Loss  0.651885, Average Loss  0.902781, Time  0.235465
2021-09-11 01:35:19.059096 : Epoch  1, Batch    145, Loss  0.658751, Average Loss  0.901098, Time  0.231476
2021-09-11 01:35:19.617951 : Epoch  1, Batch     53, Loss  1.671808, Average Loss  1.762262, Time  0.239856
2021-09-11 01:35:20.591606 : Epoch  1, Batch    146, Loss  0.663071, Average Loss  0.899468, Time  0.231646
2021-09-11 01:35:22.246111 : Epoch  1, Batch    147, Loss  0.651269, Average Loss  0.897779, Time  0.349281
2021-09-11 01:35:22.341887 : Epoch  1, Batch     54, Loss  1.664051, Average Loss  1.760443, Time  0.295413
2021-09-11 01:35:23.798019 : Epoch  1, Batch    148, Loss  0.655579, Average Loss  0.896143, Time  0.231350
2021-09-11 01:35:24.972998 : Epoch  1, Batch     55, Loss  1.667347, Average Loss  1.758750, Time  0.238762
2021-09-11 01:35:25.334073 : Epoch  1, Batch    149, Loss  0.655657, Average Loss  0.894529, Time  0.231188
2021-09-11 01:35:26.881434 : Epoch  1, Batch    150, Loss  0.653172, Average Loss  0.892920, Time  0.231311
2021-09-11 01:35:27.604291 : Epoch  1, Batch     56, Loss  1.653373, Average Loss  1.756869, Time  0.238205
2021-09-11 01:35:28.410963 : Epoch  1, Batch    151, Loss  0.650081, Average Loss  0.891312, Time  0.231115
2021-09-11 01:35:29.980164 : Epoch  1, Batch    152, Loss  0.655785, Average Loss  0.889762, Time  0.234644
2021-09-11 01:35:30.223853 : Epoch  1, Batch     57, Loss  1.647549, Average Loss  1.754951, Time  0.241238
2021-09-11 01:35:31.539862 : Epoch  1, Batch    153, Loss  0.650085, Average Loss  0.888196, Time  0.236755
2021-09-11 01:35:32.850131 : Epoch  1, Batch     58, Loss  1.650946, Average Loss  1.753157, Time  0.238086
2021-09-11 01:35:33.101423 : Epoch  1, Batch    154, Loss  0.645150, Average Loss  0.886617, Time  0.233230
2021-09-11 01:35:34.657826 : Epoch  1, Batch    155, Loss  0.657200, Average Loss  0.885137, Time  0.233332
2021-09-11 01:35:35.486006 : Epoch  1, Batch     59, Loss  1.656122, Average Loss  1.751513, Time  0.241845
2021-09-11 01:35:36.204418 : Epoch  1, Batch    156, Loss  0.645935, Average Loss  0.883604, Time  0.234544
2021-09-11 01:35:37.770887 : Epoch  1, Batch    157, Loss  0.646321, Average Loss  0.882092, Time  0.233000
2021-09-11 01:35:38.108995 : Epoch  1, Batch     60, Loss  1.673175, Average Loss  1.750207, Time  0.239076
2021-09-11 01:35:39.314623 : Epoch  1, Batch    158, Loss  0.660735, Average Loss  0.880691, Time  0.231744
2021-09-11 01:35:40.912006 : Epoch  1, Batch     61, Loss  1.651895, Average Loss  1.748595, Time  0.403648
2021-09-11 01:35:40.969987 : Epoch  1, Batch    159, Loss  0.648160, Average Loss  0.879229, Time  0.344492
2021-09-11 01:35:42.506938 : Epoch  1, Batch    160, Loss  0.646596, Average Loss  0.877775, Time  0.232243
2021-09-11 01:35:43.607951 : Epoch  1, Batch     62, Loss  1.647413, Average Loss  1.746964, Time  0.248544
2021-09-11 01:35:44.187443 : Epoch  1, Batch    161, Loss  0.643232, Average Loss  0.876318, Time  0.235224
2021-09-11 01:35:45.757846 : Epoch  1, Batch    162, Loss  0.652317, Average Loss  0.874936, Time  0.237003
2021-09-11 01:35:46.256120 : Epoch  1, Batch     63, Loss  1.661919, Average Loss  1.745614, Time  0.239697
2021-09-11 01:35:47.294092 : Epoch  1, Batch    163, Loss  0.649475, Average Loss  0.873552, Time  0.231335
2021-09-11 01:35:49.060146 : Epoch  1, Batch    164, Loss  0.647602, Average Loss  0.872175, Time  0.453371
2021-09-11 01:35:49.107150 : Epoch  1, Batch     64, Loss  1.666404, Average Loss  1.744376, Time  0.433962
2021-09-11 01:35:50.613016 : Epoch  1, Batch    165, Loss  0.647476, Average Loss  0.870813, Time  0.235117
2021-09-11 01:35:51.718826 : Epoch  1, Batch     65, Loss  1.669873, Average Loss  1.743230, Time  0.242384
2021-09-11 01:35:52.152234 : Epoch  1, Batch    166, Loss  0.643470, Average Loss  0.869443, Time  0.231863
2021-09-11 01:35:53.695934 : Epoch  1, Batch    167, Loss  0.646593, Average Loss  0.868109, Time  0.235578
2021-09-11 01:35:54.349833 : Epoch  1, Batch     66, Loss  1.668746, Average Loss  1.742101, Time  0.238330
2021-09-11 01:35:55.239293 : Epoch  1, Batch    168, Loss  0.650544, Average Loss  0.866814, Time  0.235498
2021-09-11 01:35:56.790072 : Epoch  1, Batch    169, Loss  0.654349, Average Loss  0.865557, Time  0.232225
2021-09-11 01:35:57.009856 : Epoch  1, Batch     67, Loss  1.644914, Average Loss  1.740651, Time  0.254193
2021-09-11 01:35:58.331860 : Epoch  1, Batch    170, Loss  0.649268, Average Loss  0.864284, Time  0.231784
2021-09-11 01:35:59.651046 : Epoch  1, Batch     68, Loss  1.646983, Average Loss  1.739273, Time  0.239537
2021-09-11 01:36:02.495869 : Epoch  1, Batch     69, Loss  1.640184, Average Loss  1.737837, Time  0.452838
2021-09-11 01:36:02.542996 : Epoch  1, Batch    171, Loss  0.650167, Average Loss  0.863032, Time  0.425800
2021-09-11 01:36:04.062984 : Epoch  1, Batch    172, Loss  0.646653, Average Loss  0.861774, Time  0.234527
2021-09-11 01:36:05.188944 : Epoch  1, Batch     70, Loss  1.659712, Average Loss  1.736721, Time  0.238111
2021-09-11 01:36:05.594034 : Epoch  1, Batch    173, Loss  0.655952, Average Loss  0.860584, Time  0.233247
2021-09-11 01:36:07.124085 : Epoch  1, Batch    174, Loss  0.650798, Average Loss  0.859379, Time  0.231220
2021-09-11 01:36:07.818945 : Epoch  1, Batch     71, Loss  1.662927, Average Loss  1.735682, Time  0.238103
2021-09-11 01:36:08.685814 : Epoch  1, Batch    175, Loss  0.648329, Average Loss  0.858173, Time  0.235943
2021-09-11 01:36:10.376440 : Epoch  1, Batch    176, Loss  0.639240, Average Loss  0.856929, Time  0.342719
2021-09-11 01:36:10.497697 : Epoch  1, Batch     72, Loss  1.650124, Average Loss  1.734493, Time  0.285075
2021-09-11 01:36:11.906221 : Epoch  1, Batch    177, Loss  0.649803, Average Loss  0.855759, Time  0.234326
2021-09-11 01:36:13.116961 : Epoch  1, Batch     73, Loss  1.650062, Average Loss  1.733337, Time  0.237937
2021-09-11 01:36:13.442849 : Epoch  1, Batch    178, Loss  0.648057, Average Loss  0.854592, Time  0.234272
2021-09-11 01:36:14.983013 : Epoch  1, Batch    179, Loss  0.648043, Average Loss  0.853438, Time  0.231265
2021-09-11 01:36:15.742420 : Epoch  1, Batch     74, Loss  1.658605, Average Loss  1.732327, Time  0.238816
2021-09-11 01:36:16.543379 : Epoch  1, Batch    180, Loss  0.639860, Average Loss  0.852251, Time  0.238864
2021-09-11 01:36:18.077977 : Epoch  1, Batch    181, Loss  0.654277, Average Loss  0.851158, Time  0.231555
2021-09-11 01:36:18.361889 : Epoch  1, Batch     75, Loss  1.653621, Average Loss  1.731277, Time  0.239329
2021-09-11 01:36:19.628818 : Epoch  1, Batch    182, Loss  0.644310, Average Loss  0.850021, Time  0.231573
2021-09-11 01:36:21.041505 : Epoch  1, Batch     76, Loss  1.642201, Average Loss  1.730105, Time  0.286470
2021-09-11 01:36:21.205042 : Epoch  1, Batch    183, Loss  0.649780, Average Loss  0.848927, Time  0.250580
2021-09-11 01:36:22.739825 : Epoch  1, Batch    184, Loss  0.651668, Average Loss  0.847855, Time  0.237288
2021-09-11 01:36:23.672866 : Epoch  1, Batch     77, Loss  1.649235, Average Loss  1.729055, Time  0.243424
2021-09-11 01:36:24.276404 : Epoch  1, Batch    185, Loss  0.643847, Average Loss  0.846752, Time  0.234164
2021-09-11 01:36:25.811972 : Epoch  1, Batch    186, Loss  0.637796, Average Loss  0.845629, Time  0.234656
2021-09-11 01:36:26.330008 : Epoch  1, Batch     78, Loss  1.662670, Average Loss  1.728204, Time  0.240713
2021-09-11 01:36:27.363049 : Epoch  1, Batch    187, Loss  0.648911, Average Loss  0.844577, Time  0.231542
2021-09-11 01:36:29.154380 : Epoch  1, Batch    188, Loss  0.642752, Average Loss  0.843503, Time  0.436029
2021-09-11 01:36:29.200930 : Epoch  1, Batch     79, Loss  1.648815, Average Loss  1.727199, Time  0.388943
2021-09-11 01:36:30.726054 : Epoch  1, Batch    189, Loss  0.658527, Average Loss  0.842524, Time  0.231150
2021-09-11 01:36:31.820906 : Epoch  1, Batch     80, Loss  1.658135, Average Loss  1.726336, Time  0.241825
2021-09-11 01:36:32.260087 : Epoch  1, Batch    190, Loss  0.640051, Average Loss  0.841459, Time  0.230786
2021-09-11 01:36:33.813424 : Epoch  1, Batch    191, Loss  0.650309, Average Loss  0.840458, Time  0.235661
2021-09-11 01:36:34.454839 : Epoch  1, Batch     81, Loss  1.635087, Average Loss  1.725209, Time  0.238597
2021-09-11 01:36:35.358127 : Epoch  1, Batch    192, Loss  0.642106, Average Loss  0.839425, Time  0.232670
2021-09-11 01:36:36.984070 : Epoch  1, Batch    193, Loss  0.643684, Average Loss  0.838411, Time  0.319097
2021-09-11 01:36:37.114045 : Epoch  1, Batch     82, Loss  1.639881, Average Loss  1.724169, Time  0.276381
2021-09-11 01:36:38.550858 : Epoch  1, Batch    194, Loss  0.648208, Average Loss  0.837430, Time  0.235188
2021-09-11 01:36:39.726857 : Epoch  1, Batch     83, Loss  1.646182, Average Loss  1.723229, Time  0.239037
2021-09-11 01:36:40.126080 : Epoch  1, Batch    195, Loss  0.640798, Average Loss  0.836422, Time  0.232704
2021-09-11 01:36:41.673861 : Epoch  1, Batch    196, Loss  0.644559, Average Loss  0.835443, Time  0.241441
2021-09-11 01:36:42.358979 : Epoch  1, Batch     84, Loss  1.645288, Average Loss  1.722301, Time  0.237793
2021-09-11 01:36:43.213220 : Epoch  1, Batch    197, Loss  0.646932, Average Loss  0.834486, Time  0.233055
2021-09-11 01:36:44.788903 : Epoch  1, Batch    198, Loss  0.646003, Average Loss  0.833534, Time  0.237857
2021-09-11 01:36:45.013969 : Epoch  1, Batch     85, Loss  1.641647, Average Loss  1.721352, Time  0.260390
2021-09-11 01:36:46.412156 : Epoch  1, Batch    199, Loss  0.628913, Average Loss  0.832506, Time  0.234859
2021-09-11 01:36:47.696451 : Epoch  1, Batch     86, Loss  1.628824, Average Loss  1.720276, Time  0.238199
2021-09-11 01:36:47.958413 : Epoch  1, Batch    200, Loss  0.637212, Average Loss  0.831529, Time  0.232073
2021-09-11 01:36:50.356948 : Epoch  1, Batch     87, Loss  1.637734, Average Loss  1.719328, Time  0.240474
2021-09-11 01:36:52.997399 : Epoch  1, Batch     88, Loss  1.631531, Average Loss  1.718330, Time  0.243114
2021-09-11 01:36:55.609844 : Epoch  1, Batch     89, Loss  1.644922, Average Loss  1.717505, Time  0.237746
2021-09-11 01:36:58.226941 : Epoch  1, Batch     90, Loss  1.627920, Average Loss  1.716510, Time  0.238141
2021-09-11 01:37:00.865947 : Epoch  1, Batch     91, Loss  1.617988, Average Loss  1.715427, Time  0.250112
2021-09-11 01:37:03.508971 : Epoch  1, Batch     92, Loss  1.629960, Average Loss  1.714498, Time  0.241054
2021-09-11 01:37:06.108834 : Epoch  1, Batch     93, Loss  1.601479, Average Loss  1.713283, Time  0.237831
2021-09-11 01:37:08.709877 : Epoch  1, Batch     94, Loss  1.603010, Average Loss  1.712110, Time  0.238094
2021-09-11 01:37:11.340854 : Epoch  1, Batch     95, Loss  1.602515, Average Loss  1.710956, Time  0.238010
2021-09-11 01:37:13.992082 : Epoch  1, Batch     96, Loss  1.577147, Average Loss  1.709562, Time  0.240251
2021-09-11 01:37:16.659239 : Epoch  1, Batch     97, Loss  1.575281, Average Loss  1.708178, Time  0.247065
2021-09-11 01:37:19.270007 : Epoch  1, Batch     98, Loss  1.569172, Average Loss  1.706760, Time  0.242895
2021-09-11 01:37:22.014437 : Epoch  1, Batch     99, Loss  1.563251, Average Loss  1.705310, Time  0.252989
2021-09-11 01:37:24.816945 : Epoch  1, Batch    100, Loss  1.552612, Average Loss  1.703783, Time  0.243238
2021-09-11 01:37:45.972762 : CheckPoint: Validation Loss  0.00027237, Best Loss  0.00027237
2021-09-11 01:37:46.022595 : Best Model Updated
2021-09-11 01:37:48.537107 : Epoch  1, Batch    201, Loss  0.650573, Average Loss  0.828451, Time  0.231995
2021-09-11 01:37:50.107873 : Epoch  1, Batch    202, Loss  0.638395, Average Loss  0.825309, Time  0.232840
2021-09-11 01:37:51.669364 : Epoch  1, Batch    203, Loss  0.642322, Average Loss  0.822170, Time  0.232334
2021-09-11 01:37:53.197397 : Epoch  1, Batch    204, Loss  0.661458, Average Loss  0.819136, Time  0.231358
2021-09-11 01:37:54.760424 : Epoch  1, Batch    205, Loss  0.640222, Average Loss  0.816066, Time  0.231446
2021-09-11 01:37:56.313951 : Epoch  1, Batch    206, Loss  0.651433, Average Loss  0.813022, Time  0.231767
2021-09-11 01:37:57.865066 : Epoch  1, Batch    207, Loss  0.644610, Average Loss  0.810010, Time  0.234650
2021-09-11 01:37:59.413976 : Epoch  1, Batch    208, Loss  0.650290, Average Loss  0.807047, Time  0.236965
2021-09-11 01:38:00.962383 : Epoch  1, Batch    209, Loss  0.649669, Average Loss  0.804143, Time  0.231474
2021-09-11 01:38:02.612896 : Epoch  1, Batch    210, Loss  0.640800, Average Loss  0.801289, Time  0.315905
2021-09-11 01:38:04.164195 : Epoch  1, Batch    211, Loss  0.646104, Average Loss  0.798417, Time  0.231119
2021-09-11 01:38:05.698288 : Epoch  1, Batch    212, Loss  0.642962, Average Loss  0.795672, Time  0.231452
2021-09-11 01:38:07.254381 : Epoch  1, Batch    213, Loss  0.644361, Average Loss  0.792965, Time  0.232155
2021-09-11 01:38:08.787239 : Epoch  1, Batch    214, Loss  0.641628, Average Loss  0.790345, Time  0.231902
2021-09-11 01:38:10.364995 : Epoch  1, Batch    215, Loss  0.651586, Average Loss  0.787743, Time  0.238384
2021-09-11 01:38:11.938406 : Epoch  1, Batch    216, Loss  0.643893, Average Loss  0.785282, Time  0.235485
2021-09-11 01:38:13.501925 : Epoch  1, Batch    217, Loss  0.651046, Average Loss  0.782861, Time  0.235016
2021-09-11 01:38:15.042391 : Epoch  1, Batch    218, Loss  0.645135, Average Loss  0.780520, Time  0.231319
2021-09-11 01:38:16.588261 : Epoch  1, Batch    219, Loss  0.636639, Average Loss  0.778176, Time  0.232987
2021-09-11 01:38:18.204070 : Epoch  1, Batch    220, Loss  0.644810, Average Loss  0.775959, Time  0.231006
2021-09-11 01:38:19.834980 : Epoch  1, Batch    221, Loss  0.646844, Average Loss  0.773766, Time  0.305795
2021-09-11 01:38:21.401377 : Epoch  1, Batch    222, Loss  0.643643, Average Loss  0.771661, Time  0.231060
2021-09-11 01:38:22.933804 : Epoch  1, Batch    223, Loss  0.644813, Average Loss  0.769622, Time  0.232083
2021-09-11 01:38:24.606136 : Epoch  1, Batch    224, Loss  0.642104, Average Loss  0.767562, Time  0.325893
2021-09-11 01:38:26.142593 : Epoch  1, Batch    225, Loss  0.642408, Average Loss  0.765553, Time  0.231224
2021-09-11 01:38:27.688420 : Epoch  1, Batch    226, Loss  0.653047, Average Loss  0.763641, Time  0.231433
2021-09-11 01:38:29.233878 : Epoch  1, Batch    227, Loss  0.634968, Average Loss  0.761653, Time  0.231467
2021-09-11 01:38:30.780370 : Epoch  1, Batch    228, Loss  0.650208, Average Loss  0.759832, Time  0.231341
2021-09-11 01:38:32.351904 : Epoch  1, Batch    229, Loss  0.649237, Average Loss  0.758027, Time  0.236531
2021-09-11 01:38:33.903576 : Epoch  1, Batch    230, Loss  0.637558, Average Loss  0.756205, Time  0.239277
2021-09-11 01:38:35.470994 : Epoch  1, Batch    231, Loss  0.647827, Average Loss  0.754435, Time  0.235574
2021-09-11 01:38:37.010357 : Epoch  1, Batch    232, Loss  0.639216, Average Loss  0.752669, Time  0.231653
2021-09-11 01:38:38.552846 : Epoch  1, Batch    233, Loss  0.645656, Average Loss  0.750970, Time  0.230915
2021-09-11 01:38:40.101141 : Epoch  1, Batch    234, Loss  0.641126, Average Loss  0.749216, Time  0.235072
2021-09-11 01:38:41.689869 : Epoch  1, Batch    235, Loss  0.645774, Average Loss  0.747544, Time  0.276274
2021-09-11 01:38:42.128725 : CheckPoint: Validation Loss  0.00061193, Best Loss  0.00057296
2021-09-11 01:38:43.246191 : Epoch  1, Batch    236, Loss  0.655103, Average Loss  0.745952, Time  0.238010
2021-09-11 01:38:43.757946 : Epoch  3, Batch    279, Loss  0.851073, Average Loss  0.868977, Time  0.182413
2021-09-11 01:38:44.813911 : Epoch  1, Batch    237, Loss  0.645909, Average Loss  0.744309, Time  0.231920
2021-09-11 01:38:45.392931 : Epoch  3, Batch    280, Loss  0.865635, Average Loss  0.868882, Time  0.170551
2021-09-11 01:38:46.494400 : Epoch  1, Batch    238, Loss  0.656821, Average Loss  0.742710, Time  0.360697
2021-09-11 01:38:46.999909 : Epoch  3, Batch    281, Loss  0.866538, Average Loss  0.868683, Time  0.175333
2021-09-11 01:38:48.041905 : Epoch  1, Batch    239, Loss  0.645023, Average Loss  0.741088, Time  0.232216
2021-09-11 01:38:48.625912 : Epoch  3, Batch    282, Loss  0.833602, Average Loss  0.868455, Time  0.175013
2021-09-11 01:38:49.589370 : Epoch  1, Batch    240, Loss  0.651558, Average Loss  0.739503, Time  0.231050
2021-09-11 01:38:50.248016 : Epoch  3, Batch    283, Loss  0.856227, Average Loss  0.868461, Time  0.171586
2021-09-11 01:38:51.162827 : Epoch  1, Batch    241, Loss  0.644759, Average Loss  0.737875, Time  0.232447
2021-09-11 01:38:51.868017 : Epoch  3, Batch    284, Loss  0.913544, Average Loss  0.868755, Time  0.171828
2021-09-11 01:38:52.780908 : Epoch  1, Batch    242, Loss  0.647025, Average Loss  0.736228, Time  0.236074
2021-09-11 01:38:53.475010 : Epoch  3, Batch    285, Loss  0.856152, Average Loss  0.868796, Time  0.172045
2021-09-11 01:38:54.320988 : Epoch  1, Batch    243, Loss  0.637452, Average Loss  0.734601, Time  0.231103
2021-09-11 01:38:55.069780 : Epoch  3, Batch    286, Loss  0.904236, Average Loss  0.868905, Time  0.170809
2021-09-11 01:38:55.857240 : Epoch  1, Batch    244, Loss  0.639440, Average Loss  0.732982, Time  0.238295
2021-09-11 01:38:56.680028 : Epoch  3, Batch    287, Loss  0.840718, Average Loss  0.868789, Time  0.170159
2021-09-11 01:38:57.447040 : Epoch  1, Batch    245, Loss  0.636753, Average Loss  0.731366, Time  0.238833
2021-09-11 01:38:58.299040 : Epoch  3, Batch    288, Loss  0.872106, Average Loss  0.868691, Time  0.169923
2021-09-11 01:38:59.102034 : Epoch  1, Batch    246, Loss  0.641526, Average Loss  0.729764, Time  0.234681
2021-09-11 01:38:59.949026 : Epoch  3, Batch    289, Loss  0.871729, Average Loss  0.868667, Time  0.179895
2021-09-11 01:39:00.691881 : Epoch  1, Batch    247, Loss  0.642356, Average Loss  0.728165, Time  0.232679
2021-09-11 01:39:01.574049 : Epoch  3, Batch    290, Loss  0.859759, Average Loss  0.868490, Time  0.169895
2021-09-11 01:39:02.368310 : Epoch  1, Batch    248, Loss  0.648853, Average Loss  0.726607, Time  0.236880
2021-09-11 01:39:03.210035 : Epoch  3, Batch    291, Loss  0.878645, Average Loss  0.868499, Time  0.177661
2021-09-11 01:39:03.937178 : Epoch  1, Batch    249, Loss  0.642859, Average Loss  0.725034, Time  0.232968
2021-09-11 01:39:04.843748 : Epoch  3, Batch    292, Loss  0.867701, Average Loss  0.868496, Time  0.170684
2021-09-11 01:39:05.526916 : Epoch  1, Batch    250, Loss  0.645299, Average Loss  0.723486, Time  0.236425
2021-09-11 01:39:06.443033 : Epoch  3, Batch    293, Loss  0.869051, Average Loss  0.868520, Time  0.169879
2021-09-11 01:39:07.132032 : Epoch  1, Batch    251, Loss  0.642165, Average Loss  0.721946, Time  0.236212
2021-09-11 01:39:08.059039 : Epoch  3, Batch    294, Loss  0.866739, Average Loss  0.868541, Time  0.173984
2021-09-11 01:39:08.692927 : Epoch  1, Batch    252, Loss  0.648364, Average Loss  0.720413, Time  0.238588
2021-09-11 01:39:09.686027 : Epoch  3, Batch    295, Loss  0.845458, Average Loss  0.868549, Time  0.173078
2021-09-11 01:39:10.266994 : Epoch  1, Batch    253, Loss  0.646387, Average Loss  0.718867, Time  0.231751
2021-09-11 01:39:11.307027 : Epoch  3, Batch    296, Loss  0.863887, Average Loss  0.868541, Time  0.170530
2021-09-11 01:39:11.816122 : Epoch  1, Batch    254, Loss  0.639159, Average Loss  0.717294, Time  0.231841
2021-09-11 01:39:12.909036 : Epoch  3, Batch    297, Loss  0.866683, Average Loss  0.868562, Time  0.170082
2021-09-11 01:39:13.367931 : Epoch  1, Batch    255, Loss  0.652737, Average Loss  0.715813, Time  0.236027
2021-09-11 01:39:14.530023 : Epoch  3, Batch    298, Loss  0.898329, Average Loss  0.868652, Time  0.169864
2021-09-11 01:39:14.914355 : Epoch  1, Batch    256, Loss  0.647374, Average Loss  0.714286, Time  0.231459
2021-09-11 01:39:16.156033 : Epoch  3, Batch    299, Loss  0.846158, Average Loss  0.868459, Time  0.176299
2021-09-11 01:39:16.456989 : Epoch  1, Batch    257, Loss  0.641337, Average Loss  0.712757, Time  0.231656
2021-09-11 01:39:17.769744 : Epoch  3, Batch    300, Loss  0.880904, Average Loss  0.868487, Time  0.171115
2021-09-11 01:39:18.073879 : Epoch  1, Batch    258, Loss  0.641050, Average Loss  0.711193, Time  0.312951
2021-09-11 01:39:19.395032 : Epoch  3, Batch    301, Loss  0.866230, Average Loss  0.868313, Time  0.175461
2021-09-11 01:39:19.624818 : Epoch  1, Batch    259, Loss  0.639234, Average Loss  0.709649, Time  0.232021
2021-09-11 01:39:20.994032 : Epoch  3, Batch    302, Loss  0.861642, Average Loss  0.868269, Time  0.170535
2021-09-11 01:39:21.180832 : Epoch  1, Batch    260, Loss  0.640847, Average Loss  0.708120, Time  0.235084
2021-09-11 01:39:22.605745 : Epoch  3, Batch    303, Loss  0.856340, Average Loss  0.868282, Time  0.173150
2021-09-11 01:39:22.743815 : Epoch  1, Batch    261, Loss  0.636824, Average Loss  0.706586, Time  0.231886
2021-09-11 01:39:24.220849 : Epoch  3, Batch    304, Loss  0.869461, Average Loss  0.868366, Time  0.171680
2021-09-11 01:39:24.291956 : Epoch  1, Batch    262, Loss  0.641699, Average Loss  0.705048, Time  0.234420
2021-09-11 01:39:25.837031 : Epoch  3, Batch    305, Loss  0.909931, Average Loss  0.868558, Time  0.173769
2021-09-11 01:39:25.853498 : Epoch  1, Batch    263, Loss  0.642612, Average Loss  0.703525, Time  0.235653
2021-09-11 01:39:27.418445 : Epoch  1, Batch    264, Loss  0.639976, Average Loss  0.701963, Time  0.232155
2021-09-11 01:39:27.453834 : Epoch  3, Batch    306, Loss  0.872978, Average Loss  0.868505, Time  0.170327
2021-09-11 01:39:28.981936 : Epoch  1, Batch    265, Loss  0.643658, Average Loss  0.700474, Time  0.235194
2021-09-11 01:39:29.062355 : Epoch  3, Batch    307, Loss  0.857214, Average Loss  0.868364, Time  0.172103
2021-09-11 01:39:30.558027 : Epoch  1, Batch    266, Loss  0.633710, Average Loss  0.698917, Time  0.240817
2021-09-11 01:39:30.666928 : Epoch  3, Batch    308, Loss  0.877015, Average Loss  0.868360, Time  0.172109
2021-09-11 01:39:32.111851 : Epoch  1, Batch    267, Loss  0.635872, Average Loss  0.697366, Time  0.231630
2021-09-11 01:39:32.265833 : Epoch  3, Batch    309, Loss  0.866796, Average Loss  0.868273, Time  0.170326
2021-09-11 01:39:33.673389 : Epoch  1, Batch    268, Loss  0.639040, Average Loss  0.695846, Time  0.232503
2021-09-11 01:39:33.882750 : Epoch  3, Batch    310, Loss  0.876748, Average Loss  0.868513, Time  0.173373
2021-09-11 01:39:35.239147 : Epoch  1, Batch    269, Loss  0.650322, Average Loss  0.694382, Time  0.233065
2021-09-11 01:39:35.500065 : Epoch  3, Batch    311, Loss  0.869385, Average Loss  0.868528, Time  0.174967
2021-09-11 01:39:36.817894 : Epoch  1, Batch    270, Loss  0.641477, Average Loss  0.692903, Time  0.235227
2021-09-11 01:39:37.109040 : Epoch  3, Batch    312, Loss  0.878839, Average Loss  0.868697, Time  0.170319
2021-09-11 01:39:38.712839 : Epoch  3, Batch    313, Loss  0.878465, Average Loss  0.868727, Time  0.170120
2021-09-11 01:39:40.311039 : Epoch  3, Batch    314, Loss  0.856514, Average Loss  0.868682, Time  0.170086
2021-09-11 01:39:40.904827 : Epoch  1, Batch    271, Loss  0.644713, Average Loss  0.691417, Time  0.264408
2021-09-11 01:39:41.929080 : Epoch  3, Batch    315, Loss  0.838452, Average Loss  0.868417, Time  0.169973
2021-09-11 01:39:42.461397 : Epoch  1, Batch    272, Loss  0.659441, Average Loss  0.690027, Time  0.239041
2021-09-11 01:39:43.560780 : Epoch  3, Batch    316, Loss  0.861625, Average Loss  0.868375, Time  0.175280
2021-09-11 01:39:44.029956 : Epoch  1, Batch    273, Loss  0.645272, Average Loss  0.688525, Time  0.231130
2021-09-11 01:39:45.148753 : Epoch  3, Batch    317, Loss  0.863809, Average Loss  0.868205, Time  0.170840
2021-09-11 01:39:45.577306 : Epoch  1, Batch    274, Loss  0.652012, Average Loss  0.687106, Time  0.239973
2021-09-11 01:39:46.739824 : Epoch  3, Batch    318, Loss  0.873702, Average Loss  0.868096, Time  0.170668
2021-09-11 01:39:47.281143 : Epoch  1, Batch    275, Loss  0.639809, Average Loss  0.685659, Time  0.273446
2021-09-11 01:39:48.370917 : Epoch  3, Batch    319, Loss  0.898627, Average Loss  0.868259, Time  0.177261
2021-09-11 01:39:48.854433 : Epoch  1, Batch    276, Loss  0.646618, Average Loss  0.684205, Time  0.236646
2021-09-11 01:39:49.977752 : Epoch  3, Batch    320, Loss  0.866108, Average Loss  0.868228, Time  0.169861
2021-09-11 01:39:50.460095 : Epoch  1, Batch    277, Loss  0.645880, Average Loss  0.682803, Time  0.237345
2021-09-11 01:39:51.585032 : Epoch  3, Batch    321, Loss  0.892498, Average Loss  0.868403, Time  0.170438
2021-09-11 01:39:52.139040 : Epoch  1, Batch    278, Loss  0.640292, Average Loss  0.681358, Time  0.318045
2021-09-11 01:39:53.202747 : Epoch  3, Batch    322, Loss  0.884256, Average Loss  0.868296, Time  0.178768
2021-09-11 01:39:53.740396 : Epoch  1, Batch    279, Loss  0.646899, Average Loss  0.679970, Time  0.232112
2021-09-11 01:39:54.829866 : Epoch  3, Batch    323, Loss  0.889928, Average Loss  0.868492, Time  0.170302
2021-09-11 01:39:55.316062 : Epoch  1, Batch    280, Loss  0.643764, Average Loss  0.678603, Time  0.231631
2021-09-11 01:39:56.445790 : Epoch  3, Batch    324, Loss  0.855056, Average Loss  0.868437, Time  0.176462
2021-09-11 01:39:56.964099 : Epoch  1, Batch    281, Loss  0.642258, Average Loss  0.677259, Time  0.313776
2021-09-11 01:39:58.047028 : Epoch  3, Batch    325, Loss  0.913237, Average Loss  0.868444, Time  0.176883
2021-09-11 01:39:58.539939 : Epoch  1, Batch    282, Loss  0.652903, Average Loss  0.676005, Time  0.239895
2021-09-11 01:39:59.637042 : Epoch  3, Batch    326, Loss  0.867329, Average Loss  0.868473, Time  0.171105
2021-09-11 01:40:00.108903 : Epoch  1, Batch    283, Loss  0.644657, Average Loss  0.674720, Time  0.231997
2021-09-11 01:40:01.236025 : Epoch  3, Batch    327, Loss  0.872200, Average Loss  0.868528, Time  0.171745
2021-09-11 01:40:01.670366 : Epoch  1, Batch    284, Loss  0.645762, Average Loss  0.673544, Time  0.237000
2021-09-11 01:40:02.855039 : Epoch  3, Batch    328, Loss  0.874463, Average Loss  0.868432, Time  0.170918
2021-09-11 01:40:03.251941 : Epoch  1, Batch    285, Loss  0.645844, Average Loss  0.672409, Time  0.231658
2021-09-11 01:40:04.479036 : Epoch  3, Batch    329, Loss  0.850561, Average Loss  0.868375, Time  0.172190
2021-09-11 01:40:04.938349 : Epoch  1, Batch    286, Loss  0.641796, Average Loss  0.671351, Time  0.244329
2021-09-11 01:40:06.087023 : Epoch  3, Batch    330, Loss  0.890200, Average Loss  0.868585, Time  0.170852
2021-09-11 01:40:06.503863 : Epoch  1, Batch    287, Loss  0.639104, Average Loss  0.670370, Time  0.233068
2021-09-11 01:40:07.693741 : Epoch  3, Batch    331, Loss  0.865893, Average Loss  0.868438, Time  0.171511
2021-09-11 01:40:08.078108 : Epoch  1, Batch    288, Loss  0.646292, Average Loss  0.669432, Time  0.241006
2021-09-11 01:40:09.338788 : Epoch  3, Batch    332, Loss  0.853272, Average Loss  0.868310, Time  0.196946
2021-09-11 01:40:09.639161 : Epoch  1, Batch    289, Loss  0.636972, Average Loss  0.668480, Time  0.235126
2021-09-11 01:40:10.959729 : Epoch  3, Batch    333, Loss  0.885488, Average Loss  0.868310, Time  0.171108
2021-09-11 01:40:11.200029 : Epoch  1, Batch    290, Loss  0.644005, Average Loss  0.667571, Time  0.231755
2021-09-11 01:40:12.556764 : Epoch  3, Batch    334, Loss  0.846975, Average Loss  0.868285, Time  0.170205
2021-09-11 01:40:12.741064 : Epoch  1, Batch    291, Loss  0.646617, Average Loss  0.666669, Time  0.232553
2021-09-11 01:40:14.164022 : Epoch  3, Batch    335, Loss  0.854761, Average Loss  0.868224, Time  0.170357
2021-09-11 01:40:14.371033 : Epoch  1, Batch    292, Loss  0.636504, Average Loss  0.665751, Time  0.319351
2021-09-11 01:40:15.764026 : Epoch  3, Batch    336, Loss  0.901463, Average Loss  0.868401, Time  0.173192
2021-09-11 01:40:15.925861 : Epoch  1, Batch    293, Loss  0.634722, Average Loss  0.664770, Time  0.233153
2021-09-11 01:40:17.378848 : Epoch  3, Batch    337, Loss  0.841399, Average Loss  0.868223, Time  0.170827
2021-09-11 01:40:17.480381 : Epoch  1, Batch    294, Loss  0.635923, Average Loss  0.663775, Time  0.233130
2021-09-11 01:40:18.993023 : Epoch  3, Batch    338, Loss  0.875289, Average Loss  0.868180, Time  0.172922
2021-09-11 01:40:19.101441 : Epoch  1, Batch    295, Loss  0.640293, Average Loss  0.662814, Time  0.296279
2021-09-11 01:40:20.605036 : Epoch  3, Batch    339, Loss  0.881232, Average Loss  0.868272, Time  0.174688
2021-09-11 01:40:20.682921 : Epoch  1, Batch    296, Loss  0.638394, Average Loss  0.661865, Time  0.235911
2021-09-11 01:40:22.201737 : Epoch  3, Batch    340, Loss  0.852863, Average Loss  0.868181, Time  0.171952
2021-09-11 01:40:22.241403 : Epoch  1, Batch    297, Loss  0.644021, Average Loss  0.660973, Time  0.231228
2021-09-11 01:40:23.799884 : Epoch  1, Batch    298, Loss  0.640064, Average Loss  0.660072, Time  0.230867
2021-09-11 01:40:25.416911 : Epoch  1, Batch    299, Loss  0.628777, Average Loss  0.659075, Time  0.235136
2021-09-11 01:40:27.031028 : Epoch  3, Batch    343, Loss  0.871008, Average Loss  0.868335, Time  0.169998
2021-09-11 01:40:27.079089 : Epoch  1, Batch    300, Loss  0.637706, Average Loss  0.658208, Time  0.231480
2021-09-11 01:40:28.632475 : Epoch  3, Batch    344, Loss  0.857061, Average Loss  0.868305, Time  0.169858
2021-09-11 01:40:30.240128 : Epoch  3, Batch    345, Loss  0.881838, Average Loss  0.868581, Time  0.176579
2021-09-11 01:40:31.857738 : Epoch  3, Batch    346, Loss  0.872992, Average Loss  0.868432, Time  0.169651
2021-09-11 01:40:33.472026 : Epoch  3, Batch    347, Loss  0.855963, Average Loss  0.868380, Time  0.170699
2021-09-11 01:40:35.088739 : Epoch  3, Batch    348, Loss  0.890620, Average Loss  0.868353, Time  0.172214
2021-09-11 01:40:36.705030 : Epoch  3, Batch    349, Loss  0.886884, Average Loss  0.868444, Time  0.174560
2021-09-11 01:40:38.308879 : Epoch  3, Batch    350, Loss  0.878794, Average Loss  0.868436, Time  0.174786
2021-09-11 01:40:39.919904 : Epoch  3, Batch    351, Loss  0.872937, Average Loss  0.868403, Time  0.180478
2021-09-11 01:40:41.543045 : Epoch  3, Batch    352, Loss  0.858024, Average Loss  0.868470, Time  0.173656
2021-09-11 01:40:43.160831 : Epoch  3, Batch    353, Loss  0.896914, Average Loss  0.868499, Time  0.175923
2021-09-11 01:40:44.793871 : Epoch  3, Batch    354, Loss  0.876582, Average Loss  0.868534, Time  0.174721
2021-09-11 01:40:46.405805 : Epoch  3, Batch    355, Loss  0.874444, Average Loss  0.868535, Time  0.171703
2021-09-11 01:40:48.026761 : Epoch  3, Batch    356, Loss  0.873627, Average Loss  0.868538, Time  0.177233
2021-09-11 01:40:49.651752 : Epoch  3, Batch    357, Loss  0.886729, Average Loss  0.868654, Time  0.172277
2021-09-11 01:40:51.271841 : Epoch  3, Batch    358, Loss  0.874363, Average Loss  0.868598, Time  0.173014
2021-09-11 01:40:52.867916 : Epoch  3, Batch    359, Loss  0.895638, Average Loss  0.868798, Time  0.173692
2021-09-11 01:40:54.486020 : Epoch  3, Batch    360, Loss  0.852636, Average Loss  0.868634, Time  0.173559
2021-09-11 01:40:56.084022 : Epoch  3, Batch    361, Loss  0.863755, Average Loss  0.868601, Time  0.171049
2021-09-11 01:40:57.683023 : Epoch  3, Batch    362, Loss  0.892327, Average Loss  0.868583, Time  0.169919
2021-09-11 01:40:59.295016 : Epoch  3, Batch    363, Loss  0.887039, Average Loss  0.868638, Time  0.170409
2021-09-11 01:41:00.893945 : Epoch  3, Batch    364, Loss  0.884402, Average Loss  0.868701, Time  0.170183
2021-09-11 01:41:02.489382 : Epoch  3, Batch    365, Loss  0.858043, Average Loss  0.868666, Time  0.172283
2021-09-11 01:41:04.093031 : Epoch  3, Batch    366, Loss  0.859013, Average Loss  0.868817, Time  0.169880
2021-09-11 01:41:05.693021 : Epoch  3, Batch    367, Loss  0.874988, Average Loss  0.868928, Time  0.172880
2021-09-11 01:41:07.312991 : Epoch  3, Batch    368, Loss  0.835937, Average Loss  0.868722, Time  0.169598
2021-09-11 01:41:08.932759 : Epoch  3, Batch    369, Loss  0.876000, Average Loss  0.868687, Time  0.169684
2021-09-11 01:41:10.559922 : Epoch  3, Batch    370, Loss  0.837229, Average Loss  0.868578, Time  0.169635
2021-09-11 01:41:12.172023 : Epoch  3, Batch    371, Loss  0.854754, Average Loss  0.868588, Time  0.176946
2021-09-11 01:41:13.798016 : Epoch  3, Batch    372, Loss  0.878712, Average Loss  0.868541, Time  0.179842
2021-09-11 01:41:15.417793 : Epoch  3, Batch    373, Loss  0.877214, Average Loss  0.868636, Time  0.172573
2021-09-11 01:41:17.019744 : Epoch  3, Batch    374, Loss  0.850462, Average Loss  0.868535, Time  0.169678
2021-09-11 01:41:18.631999 : Epoch  3, Batch    375, Loss  0.883616, Average Loss  0.868603, Time  0.169643
2021-09-11 01:41:20.258989 : Epoch  3, Batch    376, Loss  0.858824, Average Loss  0.868483, Time  0.169972
2021-09-11 01:41:21.896000 : Epoch  3, Batch    377, Loss  0.849034, Average Loss  0.868312, Time  0.170043
2021-09-11 01:41:23.516978 : Epoch  3, Batch    378, Loss  0.867357, Average Loss  0.868260, Time  0.169576
2021-09-11 01:41:24.833774 : CheckPoint: Validation Loss  0.00026530, Best Loss  0.00026530
2021-09-11 01:41:24.886582 : Best Model Updated
2021-09-11 01:41:27.407940 : Epoch  1, Batch    301, Loss  0.644860, Average Loss  0.657342, Time  0.237866
2021-09-11 01:41:28.955190 : Epoch  1, Batch    302, Loss  0.649596, Average Loss  0.656532, Time  0.231360
2021-09-11 01:41:30.491002 : Epoch  1, Batch    303, Loss  0.647142, Average Loss  0.655704, Time  0.235294
2021-09-11 01:41:32.025339 : Epoch  1, Batch    304, Loss  0.640373, Average Loss  0.654860, Time  0.234949
2021-09-11 01:41:33.619444 : Epoch  1, Batch    305, Loss  0.634155, Average Loss  0.654021, Time  0.233010
2021-09-11 01:41:33.868727 : CheckPoint: Validation Loss  0.00053399, Best Loss  0.00053399
2021-09-11 01:41:33.924566 : Best Model Updated
2021-09-11 01:41:35.155020 : Epoch  1, Batch    306, Loss  0.638837, Average Loss  0.653183, Time  0.236974
2021-09-11 01:41:36.695401 : Epoch  1, Batch    307, Loss  0.644101, Average Loss  0.652373, Time  0.234567
2021-09-11 01:41:37.643029 : Epoch  1, Batch    101, Loss  1.531975, Average Loss  1.702082, Time  0.251341
2021-09-11 01:41:38.300431 : Epoch  1, Batch    308, Loss  0.646304, Average Loss  0.651612, Time  0.231123
2021-09-11 01:41:39.836939 : Epoch  1, Batch    309, Loss  0.640056, Average Loss  0.650891, Time  0.235339
2021-09-11 01:41:40.297943 : Epoch  1, Batch    102, Loss  1.539400, Average Loss  1.700487, Time  0.246168
2021-09-11 01:41:41.419798 : Epoch  1, Batch    310, Loss  0.638743, Average Loss  0.650197, Time  0.235944
2021-09-11 01:41:43.165987 : Epoch  1, Batch    103, Loss  1.510253, Average Loss  1.698640, Time  0.450038
2021-09-11 01:41:43.210100 : Epoch  1, Batch    311, Loss  0.638235, Average Loss  0.649595, Time  0.406099
2021-09-11 01:41:44.811382 : Epoch  1, Batch    312, Loss  0.637287, Average Loss  0.649064, Time  0.234721
2021-09-11 01:41:45.825893 : Epoch  1, Batch    104, Loss  1.527399, Average Loss  1.696994, Time  0.242932
2021-09-11 01:41:46.389945 : Epoch  1, Batch    313, Loss  0.644940, Average Loss  0.648713, Time  0.234073
2021-09-11 01:41:47.927933 : Epoch  1, Batch    314, Loss  0.637662, Average Loss  0.648332, Time  0.231467
2021-09-11 01:41:48.471888 : Epoch  1, Batch    105, Loss  1.503834, Average Loss  1.695154, Time  0.241868
2021-09-11 01:41:49.474410 : Epoch  1, Batch    315, Loss  0.644729, Average Loss  0.648072, Time  0.233636
2021-09-11 01:41:51.159347 : Epoch  1, Batch    316, Loss  0.636996, Average Loss  0.647828, Time  0.373885
2021-09-11 01:41:51.236211 : Epoch  1, Batch    106, Loss  1.500456, Average Loss  1.693317, Time  0.315642
2021-09-11 01:41:52.778888 : Epoch  1, Batch    317, Loss  0.645680, Average Loss  0.647629, Time  0.231422
2021-09-11 01:41:53.924938 : Epoch  1, Batch    107, Loss  1.502342, Average Loss  1.691532, Time  0.240780
2021-09-11 01:41:54.323425 : Epoch  1, Batch    318, Loss  0.636065, Average Loss  0.647410, Time  0.230979
2021-09-11 01:41:55.876922 : Epoch  1, Batch    319, Loss  0.650269, Average Loss  0.647250, Time  0.231283
2021-09-11 01:41:56.574388 : Epoch  1, Batch    108, Loss  1.485880, Average Loss  1.689628, Time  0.238066
2021-09-11 01:41:57.426412 : Epoch  1, Batch    320, Loss  0.648797, Average Loss  0.647073, Time  0.238320
2021-09-11 01:41:58.973887 : Epoch  1, Batch    321, Loss  0.638758, Average Loss  0.646934, Time  0.235638
2021-09-11 01:41:59.249883 : Epoch  1, Batch    109, Loss  1.466163, Average Loss  1.687578, Time  0.241164
2021-09-11 01:42:00.530860 : Epoch  1, Batch    322, Loss  0.640913, Average Loss  0.646859, Time  0.243880
2021-09-11 01:42:01.876810 : Epoch  1, Batch    110, Loss  1.449295, Average Loss  1.685412, Time  0.240949
2021-09-11 01:42:02.096391 : Epoch  1, Batch    323, Loss  0.645691, Average Loss  0.646685, Time  0.247334
2021-09-11 01:42:03.642074 : Epoch  1, Batch    324, Loss  0.647763, Average Loss  0.646595, Time  0.231414
2021-09-11 01:42:04.581632 : Epoch  1, Batch    111, Loss  1.440324, Average Loss  1.683204, Time  0.238818
2021-09-11 01:42:05.184393 : Epoch  1, Batch    325, Loss  0.642799, Average Loss  0.646413, Time  0.233411
2021-09-11 01:42:06.756865 : Epoch  1, Batch    326, Loss  0.641024, Average Loss  0.646297, Time  0.231294
2021-09-11 01:42:07.242378 : Epoch  1, Batch    112, Loss  1.417319, Average Loss  1.680830, Time  0.244602
2021-09-11 01:42:08.340018 : Epoch  1, Batch    327, Loss  0.645871, Average Loss  0.646229, Time  0.239290
2021-09-11 01:42:10.124376 : Epoch  1, Batch    328, Loss  0.649530, Average Loss  0.646142, Time  0.454231
2021-09-11 01:42:10.174398 : Epoch  1, Batch    113, Loss  1.406481, Average Loss  1.678402, Time  0.431643
2021-09-11 01:42:11.691804 : Epoch  1, Batch    329, Loss  0.645773, Average Loss  0.645990, Time  0.231719
2021-09-11 01:42:12.851942 : Epoch  1, Batch    114, Loss  1.384817, Average Loss  1.675827, Time  0.239573
2021-09-11 01:42:13.247196 : Epoch  1, Batch    330, Loss  0.644212, Average Loss  0.645913, Time  0.231566
2021-09-11 01:42:14.794668 : Epoch  1, Batch    331, Loss  0.645392, Average Loss  0.645798, Time  0.232722
2021-09-11 01:42:15.513886 : Epoch  1, Batch    115, Loss  1.389551, Average Loss  1.673337, Time  0.245571
2021-09-11 01:42:16.363235 : Epoch  1, Batch    332, Loss  0.633197, Average Loss  0.645670, Time  0.234953
2021-09-11 01:42:17.942344 : Epoch  1, Batch    333, Loss  0.646616, Average Loss  0.645571, Time  0.233667
2021-09-11 01:42:18.165119 : Epoch  1, Batch    116, Loss  1.363108, Average Loss  1.670663, Time  0.244927
2021-09-11 01:42:19.520176 : Epoch  1, Batch    334, Loss  0.647510, Average Loss  0.645472, Time  0.231941
2021-09-11 01:42:20.860396 : Epoch  1, Batch    117, Loss  1.341419, Average Loss  1.667849, Time  0.245704
2021-09-11 01:42:21.154378 : Epoch  1, Batch    335, Loss  0.642862, Average Loss  0.645418, Time  0.233217
2021-09-11 01:42:22.710399 : Epoch  1, Batch    336, Loss  0.644447, Average Loss  0.645379, Time  0.240960
2021-09-11 01:42:23.513852 : Epoch  1, Batch    118, Loss  1.345561, Average Loss  1.665118, Time  0.240939
2021-09-11 01:42:24.252379 : Epoch  1, Batch    337, Loss  0.640766, Average Loss  0.645292, Time  0.234232
2021-09-11 01:42:25.797153 : Epoch  1, Batch    338, Loss  0.634126, Average Loss  0.645153, Time  0.233624
2021-09-11 01:42:26.190904 : Epoch  1, Batch    119, Loss  1.335537, Average Loss  1.662348, Time  0.239374
2021-09-11 01:42:27.330028 : Epoch  1, Batch    339, Loss  0.644266, Average Loss  0.645135, Time  0.231617
2021-09-11 01:42:29.087372 : Epoch  1, Batch    340, Loss  0.645438, Average Loss  0.645093, Time  0.450055
2021-09-11 01:42:29.135500 : Epoch  1, Batch    120, Loss  1.286154, Average Loss  1.659213, Time  0.437934
2021-09-11 01:42:30.616912 : Epoch  1, Batch    341, Loss  0.642034, Average Loss  0.645035, Time  0.231186
2021-09-11 01:42:31.779806 : Epoch  1, Batch    121, Loss  1.292781, Average Loss  1.656185, Time  0.245330
2021-09-11 01:42:32.165403 : Epoch  1, Batch    342, Loss  0.647236, Average Loss  0.645064, Time  0.231297
2021-09-11 01:42:33.705162 : Epoch  1, Batch    343, Loss  0.647754, Average Loss  0.645002, Time  0.231431
2021-09-11 01:42:34.429923 : Epoch  1, Batch    122, Loss  1.273740, Average Loss  1.653050, Time  0.238526
2021-09-11 01:42:35.248361 : Epoch  1, Batch    344, Loss  0.630815, Average Loss  0.644896, Time  0.231649
2021-09-11 01:42:36.813860 : Epoch  1, Batch    345, Loss  0.637363, Average Loss  0.644790, Time  0.232851
2021-09-11 01:42:37.082216 : Epoch  1, Batch    123, Loss  1.265318, Average Loss  1.649898, Time  0.245551
2021-09-11 01:42:38.360355 : Epoch  1, Batch    346, Loss  0.645677, Average Loss  0.644703, Time  0.236128
2021-09-11 01:42:39.949868 : Epoch  1, Batch    124, Loss  1.306421, Average Loss  1.647128, Time  0.387738
2021-09-11 01:42:40.014044 : Epoch  1, Batch    347, Loss  0.646828, Average Loss  0.644680, Time  0.309980
2021-09-11 01:42:41.600413 : Epoch  1, Batch    348, Loss  0.646268, Average Loss  0.644634, Time  0.231147
2021-09-11 01:42:42.595399 : Epoch  1, Batch    125, Loss  1.249994, Average Loss  1.643951, Time  0.248206
2021-09-11 01:42:43.151912 : Epoch  1, Batch    349, Loss  0.644933, Average Loss  0.644580, Time  0.233343
2021-09-11 01:42:44.709255 : Epoch  1, Batch    350, Loss  0.647058, Average Loss  0.644550, Time  0.231442
2021-09-11 01:42:45.234834 : Epoch  1, Batch    126, Loss  1.240426, Average Loss  1.640748, Time  0.238094
2021-09-11 01:42:46.272451 : Epoch  1, Batch    351, Loss  0.633160, Average Loss  0.644465, Time  0.231606
2021-09-11 01:42:48.042799 : Epoch  1, Batch    127, Loss  1.241650, Average Loss  1.637605, Time  0.435187
2021-09-11 01:42:48.099492 : Epoch  1, Batch    352, Loss  0.648420, Average Loss  0.644428, Time  0.459419
2021-09-11 01:42:49.758403 : Epoch  1, Batch    353, Loss  0.645665, Average Loss  0.644406, Time  0.231224
2021-09-11 01:42:50.677032 : Epoch  1, Batch    128, Loss  1.246289, Average Loss  1.634548, Time  0.242731
2021-09-11 01:42:51.375336 : Epoch  1, Batch    354, Loss  0.637089, Average Loss  0.644366, Time  0.230704
2021-09-11 01:42:52.929824 : Epoch  1, Batch    355, Loss  0.637000, Average Loss  0.644265, Time  0.243952
2021-09-11 01:42:53.310899 : Epoch  1, Batch    129, Loss  1.202944, Average Loss  1.631203, Time  0.245774
2021-09-11 01:42:54.535425 : Epoch  1, Batch    356, Loss  0.640795, Average Loss  0.644239, Time  0.231553
2021-09-11 01:42:56.093812 : Epoch  1, Batch    130, Loss  1.195774, Average Loss  1.627853, Time  0.359438
2021-09-11 01:42:56.183374 : Epoch  1, Batch    357, Loss  0.642591, Average Loss  0.644220, Time  0.294132
2021-09-11 01:42:57.765685 : Epoch  1, Batch    358, Loss  0.637406, Average Loss  0.644104, Time  0.233756
2021-09-11 01:42:58.715845 : Epoch  1, Batch    131, Loss  1.178551, Average Loss  1.624423, Time  0.237934
2021-09-11 01:42:59.326403 : Epoch  1, Batch    359, Loss  0.640341, Average Loss  0.644065, Time  0.231262
2021-09-11 01:43:00.864941 : Epoch  1, Batch    360, Loss  0.647089, Average Loss  0.644067, Time  0.231731
2021-09-11 01:43:01.341470 : Epoch  1, Batch    132, Loss  1.191781, Average Loss  1.621146, Time  0.237956
2021-09-11 01:43:02.420007 : Epoch  1, Batch    361, Loss  0.645676, Average Loss  0.644079, Time  0.234393
2021-09-11 01:43:04.187380 : Epoch  1, Batch    362, Loss  0.645780, Average Loss  0.644047, Time  0.451160
2021-09-11 01:43:04.236106 : Epoch  1, Batch    133, Loss  1.197170, Average Loss  1.617958, Time  0.438547
2021-09-11 01:43:05.926410 : Epoch  1, Batch    363, Loss  0.649623, Average Loss  0.644047, Time  0.235436
2021-09-11 01:43:06.866975 : Epoch  1, Batch    134, Loss  1.164110, Average Loss  1.614571, Time  0.237840
2021-09-11 01:43:07.478993 : Epoch  1, Batch    364, Loss  0.642020, Average Loss  0.644020, Time  0.233499
2021-09-11 01:43:09.061095 : Epoch  1, Batch    365, Loss  0.642923, Average Loss  0.643997, Time  0.232522
2021-09-11 01:43:09.523054 : Epoch  1, Batch    135, Loss  1.153731, Average Loss  1.611157, Time  0.237860
2021-09-11 01:43:10.616244 : Epoch  1, Batch    366, Loss  0.635899, Average Loss  0.643959, Time  0.232105
2021-09-11 01:43:12.356456 : Epoch  1, Batch    367, Loss  0.644339, Average Loss  0.643948, Time  0.416882
2021-09-11 01:43:12.403459 : Epoch  1, Batch    136, Loss  1.195752, Average Loss  1.608103, Time  0.448912
2021-09-11 01:43:14.002420 : Epoch  1, Batch    368, Loss  0.639093, Average Loss  0.643890, Time  0.235744
2021-09-11 01:43:15.047919 : Epoch  1, Batch    137, Loss  1.162544, Average Loss  1.604851, Time  0.241003
2021-09-11 01:43:15.565066 : Epoch  1, Batch    369, Loss  0.652225, Average Loss  0.643880, Time  0.231383
2021-09-11 01:43:17.135050 : Epoch  1, Batch    370, Loss  0.637217, Average Loss  0.643820, Time  0.232843
2021-09-11 01:43:17.697042 : Epoch  1, Batch    138, Loss  1.147638, Average Loss  1.601538, Time  0.239528
2021-09-11 01:43:20.337968 : Epoch  1, Batch    139, Loss  1.141553, Average Loss  1.598228, Time  0.240649
2021-09-11 01:43:21.163880 : Epoch  1, Batch    371, Loss  0.644205, Average Loss  0.643790, Time  0.236274
2021-09-11 01:43:22.709877 : Epoch  1, Batch    372, Loss  0.648135, Average Loss  0.643797, Time  0.231854
2021-09-11 01:43:22.988822 : Epoch  1, Batch    140, Loss  1.125851, Average Loss  1.594854, Time  0.238027
2021-09-11 01:43:24.268416 : Epoch  1, Batch    373, Loss  0.633084, Average Loss  0.643683, Time  0.235187
2021-09-11 01:43:25.730919 : Epoch  1, Batch    141, Loss  1.115288, Average Loss  1.591453, Time  0.324044
2021-09-11 01:43:25.870187 : Epoch  1, Batch    374, Loss  0.635952, Average Loss  0.643609, Time  0.276151
2021-09-11 01:43:27.476161 : Epoch  1, Batch    375, Loss  0.639648, Average Loss  0.643565, Time  0.243826
2021-09-11 01:43:28.371822 : Epoch  1, Batch    142, Loss  1.109895, Average Loss  1.588062, Time  0.243778
2021-09-11 01:43:29.061502 : Epoch  1, Batch    376, Loss  0.643227, Average Loss  0.643585, Time  0.237138
2021-09-11 01:43:30.632042 : Epoch  1, Batch    377, Loss  0.638594, Average Loss  0.643529, Time  0.237468
2021-09-11 01:43:31.000840 : Epoch  1, Batch    143, Loss  1.119652, Average Loss  1.584786, Time  0.241207
2021-09-11 01:43:32.171433 : Epoch  1, Batch    378, Loss  0.644950, Average Loss  0.643513, Time  0.231180
2021-09-11 01:43:33.797914 : Epoch  1, Batch    144, Loss  1.106978, Average Loss  1.581468, Time  0.410875
2021-09-11 01:43:33.845564 : Epoch  1, Batch    379, Loss  0.645036, Average Loss  0.643498, Time  0.348631
2021-09-11 01:43:35.384411 : Epoch  1, Batch    380, Loss  0.646281, Average Loss  0.643531, Time  0.236328
2021-09-11 01:43:36.412549 : Epoch  1, Batch    145, Loss  1.120077, Average Loss  1.578286, Time  0.238487
2021-09-11 01:43:37.006746 : Epoch  1, Batch    381, Loss  0.645745, Average Loss  0.643488, Time  0.231725
2021-09-11 01:43:38.574428 : Epoch  1, Batch    382, Loss  0.645383, Average Loss  0.643493, Time  0.231249
2021-09-11 01:43:39.042017 : Epoch  1, Batch    146, Loss  1.113977, Average Loss  1.575106, Time  0.238936
2021-09-11 01:43:40.161432 : Epoch  1, Batch    383, Loss  0.653344, Average Loss  0.643511, Time  0.233042
2021-09-11 01:43:41.893989 : Epoch  1, Batch    147, Loss  1.101510, Average Loss  1.571884, Time  0.447221
2021-09-11 01:43:41.942469 : Epoch  1, Batch    384, Loss  0.646972, Average Loss  0.643488, Time  0.412509
2021-09-11 01:43:43.528047 : Epoch  1, Batch    385, Loss  0.646745, Average Loss  0.643502, Time  0.234790
2021-09-11 01:43:44.574808 : Epoch  1, Batch    148, Loss  1.118321, Average Loss  1.568819, Time  0.242922
2021-09-11 01:43:45.090395 : Epoch  1, Batch    386, Loss  0.644093, Average Loss  0.643534, Time  0.235533
2021-09-11 01:43:46.647285 : Epoch  1, Batch    387, Loss  0.636644, Average Loss  0.643472, Time  0.233170
2021-09-11 01:43:47.224055 : Epoch  1, Batch    149, Loss  1.102143, Average Loss  1.565687, Time  0.241666
2021-09-11 01:43:48.220725 : Epoch  1, Batch    388, Loss  0.644913, Average Loss  0.643483, Time  0.231828
2021-09-11 01:43:50.032172 : Epoch  1, Batch    150, Loss  1.101698, Average Loss  1.562594, Time  0.374887
2021-09-11 01:43:50.091119 : Epoch  1, Batch    389, Loss  0.634536, Average Loss  0.643363, Time  0.462705
2021-09-11 01:43:51.655221 : Epoch  1, Batch    390, Loss  0.637922, Average Loss  0.643352, Time  0.231779
2021-09-11 01:43:52.687991 : Epoch  1, Batch    151, Loss  1.122225, Average Loss  1.559678, Time  0.238279
2021-09-11 01:43:53.204992 : Epoch  1, Batch    391, Loss  0.648007, Average Loss  0.643341, Time  0.236712
2021-09-11 01:43:54.780237 : Epoch  1, Batch    392, Loss  0.642273, Average Loss  0.643342, Time  0.232630
2021-09-11 01:43:55.345851 : Epoch  1, Batch    152, Loss  1.067242, Average Loss  1.556438, Time  0.245934
2021-09-11 01:43:56.414923 : Epoch  1, Batch    393, Loss  0.645471, Average Loss  0.643351, Time  0.231667
2021-09-11 01:43:58.175469 : Epoch  1, Batch    394, Loss  0.646833, Average Loss  0.643344, Time  0.451486
2021-09-11 01:43:58.218952 : Epoch  1, Batch    153, Loss  1.092735, Average Loss  1.553407, Time  0.451110
2021-09-11 01:43:59.726107 : Epoch  1, Batch    395, Loss  0.633921, Average Loss  0.643309, Time  0.231756
2021-09-11 01:44:00.825429 : Epoch  1, Batch    154, Loss  1.081533, Average Loss  1.550343, Time  0.238726
2021-09-11 01:44:01.295120 : Epoch  1, Batch    396, Loss  0.638466, Average Loss  0.643279, Time  0.233400
2021-09-11 01:44:02.856487 : Epoch  1, Batch    397, Loss  0.641583, Average Loss  0.643252, Time  0.237368
2021-09-11 01:44:03.481861 : Epoch  1, Batch    155, Loss  1.061388, Average Loss  1.547189, Time  0.239674
2021-09-11 01:44:04.418402 : Epoch  1, Batch    398, Loss  0.629295, Average Loss  0.643169, Time  0.230874
2021-09-11 01:44:06.109686 : Epoch  1, Batch    399, Loss  0.635067, Average Loss  0.643199, Time  0.367268
2021-09-11 01:44:06.199975 : Epoch  1, Batch    156, Loss  1.105237, Average Loss  1.544356, Time  0.316000
2021-09-11 01:44:07.658847 : Epoch  1, Batch    400, Loss  0.638084, Average Loss  0.643204, Time  0.234818
2021-09-11 01:44:08.834021 : Epoch  1, Batch    157, Loss  1.060397, Average Loss  1.541273, Time  0.238384
2021-09-11 01:44:11.534255 : Epoch  1, Batch    158, Loss  1.063344, Average Loss  1.538248, Time  0.318899
2021-09-11 01:44:14.244946 : Epoch  1, Batch    159, Loss  1.063343, Average Loss  1.535261, Time  0.319446
2021-09-11 01:44:16.940016 : Epoch  1, Batch    160, Loss  1.054324, Average Loss  1.532256, Time  0.318907
2021-09-11 01:44:19.709995 : Epoch  1, Batch    161, Loss  1.023296, Average Loss  1.529094, Time  0.320560
2021-09-11 01:44:22.526849 : Epoch  1, Batch    162, Loss  1.033478, Average Loss  1.526035, Time  0.323369
2021-09-11 01:44:25.235820 : Epoch  1, Batch    163, Loss  1.026003, Average Loss  1.522967, Time  0.319056
2021-09-11 01:44:27.971963 : Epoch  1, Batch    164, Loss  1.056537, Average Loss  1.520123, Time  0.321046
2021-09-11 01:44:30.695828 : Epoch  1, Batch    165, Loss  1.051394, Average Loss  1.517282, Time  0.318708
2021-09-11 01:44:33.399874 : Epoch  1, Batch    166, Loss  1.025356, Average Loss  1.514319, Time  0.318278
2021-09-11 01:44:36.118782 : Epoch  1, Batch    167, Loss  1.039596, Average Loss  1.511476, Time  0.320211
2021-09-11 01:44:38.830929 : Epoch  1, Batch    168, Loss  1.036737, Average Loss  1.508651, Time  0.318423
2021-09-11 01:44:41.541896 : Epoch  1, Batch    169, Loss  1.023470, Average Loss  1.505780, Time  0.317576
2021-09-11 01:44:44.258879 : Epoch  1, Batch    170, Loss  0.995118, Average Loss  1.502776, Time  0.318942
2021-09-11 01:44:46.961891 : Epoch  1, Batch    171, Loss  1.040383, Average Loss  1.500072, Time  0.322932
2021-09-11 01:44:49.679450 : Epoch  1, Batch    172, Loss  1.012323, Average Loss  1.497236, Time  0.318219
2021-09-11 01:44:52.388855 : Epoch  1, Batch    173, Loss  1.021622, Average Loss  1.494487, Time  0.319084
2021-09-11 01:44:55.130896 : Epoch  1, Batch    174, Loss  1.019729, Average Loss  1.491758, Time  0.321920
2021-09-11 01:44:57.883883 : Epoch  1, Batch    175, Loss  0.993639, Average Loss  1.488912, Time  0.322973
2021-09-11 01:45:00.627922 : Epoch  1, Batch    176, Loss  1.023446, Average Loss  1.486267, Time  0.324204
2021-09-11 01:45:03.380885 : Epoch  1, Batch    177, Loss  1.026946, Average Loss  1.483672, Time  0.318696
2021-09-11 01:45:06.125439 : Epoch  1, Batch    178, Loss  0.986851, Average Loss  1.480881, Time  0.323676
2021-09-11 01:45:06.445835 : CheckPoint: Validation Loss  0.00027669, Best Loss  0.00026530
2021-09-11 01:45:08.017258 : Epoch  1, Batch    401, Loss  0.640585, Average Loss  0.643154, Time  0.236947
2021-09-11 01:45:08.779424 : Epoch  1, Batch    179, Loss  1.010792, Average Loss  1.478255, Time  0.238139
2021-09-11 01:45:09.585016 : Epoch  1, Batch    402, Loss  0.638744, Average Loss  0.643156, Time  0.237991
2021-09-11 01:45:11.136856 : Epoch  1, Batch    403, Loss  0.635245, Average Loss  0.643120, Time  0.232913
2021-09-11 01:45:11.438891 : Epoch  1, Batch    180, Loss  1.015612, Average Loss  1.475685, Time  0.242654
2021-09-11 01:45:12.727808 : Epoch  1, Batch    404, Loss  0.637035, Average Loss  0.642998, Time  0.233458
2021-09-11 01:45:14.082138 : Epoch  1, Batch    181, Loss  0.997095, Average Loss  1.473040, Time  0.239752
2021-09-11 01:45:14.280891 : Epoch  1, Batch    405, Loss  0.649498, Average Loss  0.643045, Time  0.239827
2021-09-11 01:45:15.862420 : Epoch  1, Batch    406, Loss  0.651865, Average Loss  0.643047, Time  0.233809
2021-09-11 01:45:16.707851 : Epoch  1, Batch    182, Loss  1.015295, Average Loss  1.470525, Time  0.243544
2021-09-11 01:45:17.426154 : Epoch  1, Batch    407, Loss  0.635096, Average Loss  0.642999, Time  0.231611
2021-09-11 01:45:18.970005 : Epoch  1, Batch    408, Loss  0.647789, Average Loss  0.642987, Time  0.231614
2021-09-11 01:45:19.340001 : Epoch  1, Batch    183, Loss  0.974767, Average Loss  1.467816, Time  0.240068
2021-09-11 01:45:20.529919 : Epoch  1, Batch    409, Loss  0.640025, Average Loss  0.642938, Time  0.236358
2021-09-11 01:45:22.125992 : Epoch  1, Batch    184, Loss  0.985137, Average Loss  1.465193, Time  0.397303
2021-09-11 01:45:22.184936 : Epoch  1, Batch    410, Loss  0.640506, Average Loss  0.642937, Time  0.334868
2021-09-11 01:45:23.720129 : Epoch  1, Batch    411, Loss  0.643840, Average Loss  0.642926, Time  0.236910
2021-09-11 01:45:24.775421 : Epoch  1, Batch    185, Loss  0.989283, Average Loss  1.462621, Time  0.238641
2021-09-11 01:45:25.280863 : Epoch  1, Batch    412, Loss  0.646779, Average Loss  0.642945, Time  0.236601
2021-09-11 01:45:26.814934 : Epoch  1, Batch    413, Loss  0.640440, Average Loss  0.642925, Time  0.234153
2021-09-11 01:45:27.412813 : Epoch  1, Batch    186, Loss  1.030035, Average Loss  1.460295, Time  0.246885
2021-09-11 01:45:28.437409 : Epoch  1, Batch    414, Loss  0.637818, Average Loss  0.642906, Time  0.238451
2021-09-11 01:45:30.217869 : Epoch  1, Batch    187, Loss  0.993458, Average Loss  1.457798, Time  0.428534
2021-09-11 01:45:30.257439 : Epoch  1, Batch    415, Loss  0.639344, Average Loss  0.642845, Time  0.365815
2021-09-11 01:45:31.938260 : Epoch  1, Batch    416, Loss  0.641335, Average Loss  0.642832, Time  0.251987
2021-09-11 01:45:32.892823 : Epoch  1, Batch    188, Loss  0.989120, Average Loss  1.455305, Time  0.238240
2021-09-11 01:45:33.682366 : Epoch  1, Batch    417, Loss  0.633841, Average Loss  0.642746, Time  0.248142
2021-09-11 01:45:35.715928 : Epoch  1, Batch    189, Loss  0.981121, Average Loss  1.452796, Time  0.443839
2021-09-11 01:45:35.759063 : Epoch  1, Batch    418, Loss  0.641183, Average Loss  0.642726, Time  0.471783
2021-09-11 01:45:37.410401 : Epoch  1, Batch    419, Loss  0.649691, Average Loss  0.642792, Time  0.235681
2021-09-11 01:45:38.355005 : Epoch  1, Batch    190, Loss  0.997379, Average Loss  1.450400, Time  0.238263
2021-09-11 01:45:38.972280 : Epoch  1, Batch    420, Loss  0.640491, Average Loss  0.642770, Time  0.236852
2021-09-11 01:45:40.561491 : Epoch  1, Batch    421, Loss  0.644098, Average Loss  0.642756, Time  0.235715
2021-09-11 01:45:41.002874 : Epoch  1, Batch    191, Loss  0.981032, Average Loss  1.447942, Time  0.237923
2021-09-11 01:45:42.129989 : Epoch  1, Batch    422, Loss  0.641141, Average Loss  0.642744, Time  0.240001
2021-09-11 01:45:43.897386 : Epoch  1, Batch    192, Loss  0.991259, Average Loss  1.445564, Time  0.450449
2021-09-11 01:45:43.939504 : Epoch  1, Batch    423, Loss  0.630575, Average Loss  0.642672, Time  0.449246
2021-09-11 01:45:45.502849 : Epoch  1, Batch    424, Loss  0.641112, Average Loss  0.642668, Time  0.234278
2021-09-11 01:45:46.559156 : Epoch  1, Batch    193, Loss  0.997241, Average Loss  1.443241, Time  0.238235
2021-09-11 01:45:47.065426 : Epoch  1, Batch    425, Loss  0.641456, Average Loss  0.642663, Time  0.237660
2021-09-11 01:45:48.603382 : Epoch  1, Batch    426, Loss  0.627070, Average Loss  0.642533, Time  0.235323
2021-09-11 01:45:49.200945 : Epoch  1, Batch    194, Loss  0.996638, Average Loss  1.440939, Time  0.243904
2021-09-11 01:45:50.168414 : Epoch  1, Batch    427, Loss  0.636028, Average Loss  0.642538, Time  0.236284
2021-09-11 01:45:51.818449 : Epoch  1, Batch    428, Loss  0.638931, Average Loss  0.642482, Time  0.342969
2021-09-11 01:45:51.929838 : Epoch  1, Batch    195, Loss  0.995068, Average Loss  1.438652, Time  0.291654
2021-09-11 01:45:53.372090 : Epoch  1, Batch    429, Loss  0.648064, Average Loss  0.642476, Time  0.231959
2021-09-11 01:45:54.555897 : Epoch  1, Batch    196, Loss  0.980640, Average Loss  1.436315, Time  0.238878
2021-09-11 01:45:54.995390 : Epoch  1, Batch    430, Loss  0.640826, Average Loss  0.642492, Time  0.240809
2021-09-11 01:45:56.742274 : Epoch  1, Batch    431, Loss  0.637112, Average Loss  0.642439, Time  0.233541
2021-09-11 01:45:57.192937 : Epoch  1, Batch    197, Loss  0.970595, Average Loss  1.433951, Time  0.241468
2021-09-11 01:45:58.343198 : Epoch  1, Batch    432, Loss  0.637702, Average Loss  0.642431, Time  0.233608
2021-09-11 01:46:00.007425 : Epoch  1, Batch    198, Loss  0.987776, Average Loss  1.431698, Time  0.415701
2021-09-11 01:46:00.056863 : Epoch  1, Batch    433, Loss  0.646881, Average Loss  0.642437, Time  0.349447
2021-09-11 01:46:01.618555 : Epoch  1, Batch    434, Loss  0.633917, Average Loss  0.642401, Time  0.239152
2021-09-11 01:46:02.637199 : Epoch  1, Batch    199, Loss  0.975497, Average Loss  1.429405, Time  0.238716
2021-09-11 01:46:03.161939 : Epoch  1, Batch    435, Loss  0.644195, Average Loss  0.642393, Time  0.239673
2021-09-11 01:46:04.084728 : CheckPoint: Validation Loss  0.00059173, Best Loss  0.00057296
2021-09-11 01:46:04.750373 : Epoch  1, Batch    436, Loss  0.642618, Average Loss  0.642331, Time  0.237000
2021-09-11 01:46:05.264134 : Epoch  1, Batch    200, Loss  0.989874, Average Loss  1.427208, Time  0.241466
2021-09-11 01:46:05.703928 : Epoch  3, Batch    379, Loss  0.864506, Average Loss  0.868192, Time  0.176469
2021-09-11 01:46:06.331933 : Epoch  1, Batch    437, Loss  0.640744, Average Loss  0.642305, Time  0.233900
2021-09-11 01:46:07.321915 : Epoch  3, Batch    380, Loss  0.883780, Average Loss  0.868185, Time  0.170380
2021-09-11 01:46:07.878214 : Epoch  1, Batch    438, Loss  0.640422, Average Loss  0.642223, Time  0.232223
2021-09-11 01:46:08.945844 : Epoch  3, Batch    381, Loss  0.854180, Average Loss  0.868163, Time  0.169785
2021-09-11 01:46:09.422959 : Epoch  1, Batch    439, Loss  0.641585, Average Loss  0.642206, Time  0.232065
2021-09-11 01:46:10.584022 : Epoch  3, Batch    382, Loss  0.869672, Average Loss  0.868109, Time  0.169876
2021-09-11 01:46:10.945906 : Epoch  1, Batch    440, Loss  0.639189, Average Loss  0.642144, Time  0.231888
2021-09-11 01:46:12.207978 : Epoch  3, Batch    383, Loss  0.853488, Average Loss  0.868082, Time  0.169554
2021-09-11 01:46:12.473884 : Epoch  1, Batch    441, Loss  0.643670, Average Loss  0.642139, Time  0.232181
2021-09-11 01:46:13.852828 : Epoch  3, Batch    384, Loss  0.871914, Average Loss  0.868120, Time  0.169838
2021-09-11 01:46:14.001216 : Epoch  1, Batch    442, Loss  0.654103, Average Loss  0.642174, Time  0.231823
2021-09-11 01:46:15.479852 : Epoch  3, Batch    385, Loss  0.863523, Average Loss  0.868086, Time  0.170060
2021-09-11 01:46:15.726355 : Epoch  1, Batch    443, Loss  0.631717, Average Loss  0.642145, Time  0.238915
2021-09-11 01:46:17.118997 : Epoch  3, Batch    386, Loss  0.843197, Average Loss  0.868004, Time  0.169676
2021-09-11 01:46:17.465336 : Epoch  1, Batch    444, Loss  0.638687, Average Loss  0.642142, Time  0.239038
2021-09-11 01:46:18.726807 : Epoch  3, Batch    387, Loss  0.867994, Average Loss  0.867908, Time  0.169596
2021-09-11 01:46:19.046868 : Epoch  1, Batch    445, Loss  0.639181, Average Loss  0.642154, Time  0.236767
2021-09-11 01:46:20.363992 : Epoch  3, Batch    388, Loss  0.834743, Average Loss  0.867641, Time  0.169824
2021-09-11 01:46:20.622956 : Epoch  1, Batch    446, Loss  0.648299, Average Loss  0.642188, Time  0.233436
2021-09-11 01:46:22.008049 : Epoch  3, Batch    389, Loss  0.888219, Average Loss  0.867658, Time  0.170312
2021-09-11 01:46:22.197175 : Epoch  1, Batch    447, Loss  0.634933, Average Loss  0.642150, Time  0.234617
2021-09-11 01:46:23.634996 : Epoch  3, Batch    390, Loss  0.878335, Average Loss  0.867451, Time  0.169945
2021-09-11 01:46:23.760817 : Epoch  1, Batch    448, Loss  0.649618, Average Loss  0.642154, Time  0.244742
2021-09-11 01:46:25.252989 : Epoch  3, Batch    391, Loss  0.852880, Average Loss  0.867482, Time  0.169421
2021-09-11 01:46:25.368067 : Epoch  1, Batch    449, Loss  0.636785, Average Loss  0.642124, Time  0.235158
2021-09-11 01:46:26.871998 : Epoch  3, Batch    392, Loss  0.872043, Average Loss  0.867440, Time  0.169791
2021-09-11 01:46:26.952266 : Epoch  1, Batch    450, Loss  0.651589, Average Loss  0.642155, Time  0.233574
2021-09-11 01:46:28.498765 : Epoch  3, Batch    393, Loss  0.846735, Average Loss  0.867196, Time  0.169764
2021-09-11 01:46:28.515824 : Epoch  1, Batch    451, Loss  0.641570, Average Loss  0.642152, Time  0.231838
2021-09-11 01:46:30.077223 : Epoch  1, Batch    452, Loss  0.643271, Average Loss  0.642127, Time  0.232452
2021-09-11 01:46:30.120998 : Epoch  3, Batch    394, Loss  0.873815, Average Loss  0.867185, Time  0.169670
2021-09-11 01:46:31.610885 : Epoch  1, Batch    453, Loss  0.638382, Average Loss  0.642087, Time  0.235232
2021-09-11 01:46:31.760759 : Epoch  3, Batch    395, Loss  0.878435, Average Loss  0.867340, Time  0.170123
2021-09-11 01:46:33.166414 : Epoch  1, Batch    454, Loss  0.645373, Average Loss  0.642118, Time  0.235391
2021-09-11 01:46:33.387010 : Epoch  3, Batch    396, Loss  0.889856, Average Loss  0.867456, Time  0.169655
2021-09-11 01:46:34.729181 : Epoch  1, Batch    455, Loss  0.626425, Average Loss  0.641986, Time  0.240578
2021-09-11 01:46:35.008862 : Epoch  3, Batch    397, Loss  0.864069, Average Loss  0.867587, Time  0.169763
2021-09-11 01:46:36.269432 : Epoch  1, Batch    456, Loss  0.652356, Average Loss  0.642011, Time  0.231879
2021-09-11 01:46:36.645842 : Epoch  3, Batch    398, Loss  0.890179, Average Loss  0.867678, Time  0.169690
2021-09-11 01:46:37.826062 : Epoch  1, Batch    457, Loss  0.649169, Average Loss  0.642050, Time  0.234038
2021-09-11 01:46:38.269999 : Epoch  3, Batch    399, Loss  0.883716, Average Loss  0.867843, Time  0.169586
2021-09-11 01:46:39.394130 : Epoch  1, Batch    458, Loss  0.637478, Average Loss  0.642033, Time  0.239315
2021-09-11 01:46:39.897997 : Epoch  3, Batch    400, Loss  0.881185, Average Loss  0.867920, Time  0.169593
2021-09-11 01:46:41.024454 : Epoch  1, Batch    459, Loss  0.640364, Average Loss  0.642038, Time  0.316913
2021-09-11 01:46:41.516995 : Epoch  3, Batch    401, Loss  0.873077, Average Loss  0.867985, Time  0.169707
2021-09-11 01:46:42.592086 : Epoch  1, Batch    460, Loss  0.645787, Average Loss  0.642063, Time  0.237985
2021-09-11 01:46:43.152998 : Epoch  3, Batch    402, Loss  0.865581, Average Loss  0.867787, Time  0.170114
2021-09-11 01:46:44.169069 : Epoch  1, Batch    461, Loss  0.645036, Average Loss  0.642104, Time  0.238739
2021-09-11 01:46:44.774827 : Epoch  3, Batch    403, Loss  0.848518, Average Loss  0.867703, Time  0.170096
2021-09-11 01:46:45.756427 : Epoch  1, Batch    462, Loss  0.637214, Average Loss  0.642082, Time  0.234047
2021-09-11 01:46:46.409002 : Epoch  3, Batch    404, Loss  0.859655, Average Loss  0.867544, Time  0.169681
2021-09-11 01:46:47.319113 : Epoch  1, Batch    463, Loss  0.644921, Average Loss  0.642093, Time  0.231507
2021-09-11 01:46:47.479985 : Epoch  1, Batch    464, Loss  0.573882, Average Loss  0.641763, Time  0.102270
2021-09-11 01:46:48.047938 : Epoch  3, Batch    405, Loss  0.844072, Average Loss  0.867367, Time  0.169962
2021-09-11 01:46:49.037541 : Epoch  1, Batch    465, Loss  0.645419, Average Loss  0.641771, Time  0.234398
2021-09-11 01:46:49.674003 : Epoch  3, Batch    406, Loss  0.884919, Average Loss  0.867508, Time  0.169950
2021-09-11 01:46:50.630919 : Epoch  1, Batch    466, Loss  0.643600, Average Loss  0.641821, Time  0.241064
2021-09-11 01:46:51.327996 : Epoch  3, Batch    407, Loss  0.829599, Average Loss  0.867350, Time  0.169732
2021-09-11 01:46:52.195056 : Epoch  1, Batch    467, Loss  0.640361, Average Loss  0.641843, Time  0.237830
2021-09-11 01:46:52.956998 : Epoch  3, Batch    408, Loss  0.866807, Average Loss  0.867466, Time  0.169782
2021-09-11 01:46:53.732390 : Epoch  1, Batch    468, Loss  0.643076, Average Loss  0.641864, Time  0.231644
2021-09-11 01:46:54.587743 : Epoch  3, Batch    409, Loss  0.877452, Average Loss  0.867452, Time  0.169723
2021-09-11 01:46:55.282593 : Epoch  1, Batch    469, Loss  0.652618, Average Loss  0.641875, Time  0.234200
2021-09-11 01:46:56.203994 : Epoch  3, Batch    410, Loss  0.865535, Average Loss  0.867497, Time  0.171838
2021-09-11 01:46:56.846385 : Epoch  1, Batch    470, Loss  0.653396, Average Loss  0.641935, Time  0.232214
2021-09-11 01:46:57.829994 : Epoch  3, Batch    411, Loss  0.877156, Average Loss  0.867572, Time  0.169810
2021-09-11 01:46:58.378813 : Epoch  1, Batch    471, Loss  0.641585, Average Loss  0.641919, Time  0.231098
2021-09-11 01:46:59.467009 : Epoch  3, Batch    412, Loss  0.870983, Average Loss  0.867650, Time  0.169701
2021-09-11 01:47:01.106779 : Epoch  3, Batch    413, Loss  0.876855, Average Loss  0.867733, Time  0.169977
2021-09-11 01:47:02.408518 : Epoch  1, Batch    472, Loss  0.652765, Average Loss  0.641886, Time  0.233119
2021-09-11 01:47:02.733812 : Epoch  3, Batch    414, Loss  0.847041, Average Loss  0.867445, Time  0.169668
2021-09-11 01:47:03.942944 : Epoch  1, Batch    473, Loss  0.647835, Average Loss  0.641898, Time  0.231342
2021-09-11 01:47:04.428782 : Epoch  3, Batch    415, Loss  0.885035, Average Loss  0.867615, Time  0.169936
2021-09-11 01:47:05.487107 : Epoch  1, Batch    474, Loss  0.647042, Average Loss  0.641874, Time  0.234786
2021-09-11 01:47:06.052982 : Epoch  3, Batch    416, Loss  0.892200, Average Loss  0.867811, Time  0.169718
2021-09-11 01:47:07.027934 : Epoch  1, Batch    475, Loss  0.644473, Average Loss  0.641897, Time  0.232760
2021-09-11 01:47:07.662909 : Epoch  3, Batch    417, Loss  0.879993, Average Loss  0.867836, Time  0.169661
2021-09-11 01:47:08.606305 : Epoch  1, Batch    476, Loss  0.639056, Average Loss  0.641859, Time  0.233095
2021-09-11 01:47:09.291002 : Epoch  3, Batch    418, Loss  0.879006, Average Loss  0.867941, Time  0.169547
2021-09-11 01:47:10.226904 : Epoch  1, Batch    477, Loss  0.653215, Average Loss  0.641896, Time  0.318366
2021-09-11 01:47:10.924747 : Epoch  3, Batch    419, Loss  0.861866, Average Loss  0.867918, Time  0.169928
2021-09-11 01:47:11.781113 : Epoch  1, Batch    478, Loss  0.646920, Average Loss  0.641929, Time  0.235634
2021-09-11 01:47:12.560982 : Epoch  3, Batch    420, Loss  0.884622, Average Loss  0.868095, Time  0.169564
2021-09-11 01:47:13.350040 : Epoch  1, Batch    479, Loss  0.636777, Average Loss  0.641878, Time  0.235555
2021-09-11 01:47:14.170097 : Epoch  3, Batch    421, Loss  0.846378, Average Loss  0.868045, Time  0.169571
2021-09-11 01:47:14.912979 : Epoch  1, Batch    480, Loss  0.631113, Average Loss  0.641815, Time  0.231694
2021-09-11 01:47:15.811760 : Epoch  3, Batch    422, Loss  0.855425, Average Loss  0.867963, Time  0.171441
2021-09-11 01:47:16.456066 : Epoch  1, Batch    481, Loss  0.634472, Average Loss  0.641776, Time  0.234874
2021-09-11 01:47:17.440810 : Epoch  3, Batch    423, Loss  0.875759, Average Loss  0.868096, Time  0.170596
2021-09-11 01:47:18.052069 : Epoch  1, Batch    482, Loss  0.649078, Average Loss  0.641757, Time  0.238836
2021-09-11 01:47:19.064845 : Epoch  3, Batch    424, Loss  0.862027, Average Loss  0.868144, Time  0.184164
2021-09-11 01:47:19.601849 : Epoch  1, Batch    483, Loss  0.646339, Average Loss  0.641765, Time  0.231946
2021-09-11 01:47:20.691768 : Epoch  3, Batch    425, Loss  0.885937, Average Loss  0.868150, Time  0.170447
2021-09-11 01:47:21.144827 : Epoch  1, Batch    484, Loss  0.652035, Average Loss  0.641797, Time  0.236750
2021-09-11 01:47:22.316014 : Epoch  3, Batch    426, Loss  0.884006, Average Loss  0.868284, Time  0.175618
2021-09-11 01:47:22.684110 : Epoch  1, Batch    485, Loss  0.638638, Average Loss  0.641761, Time  0.231356
2021-09-11 01:47:23.942739 : Epoch  3, Batch    427, Loss  0.864402, Average Loss  0.868375, Time  0.182934
2021-09-11 01:47:24.248390 : Epoch  1, Batch    486, Loss  0.629945, Average Loss  0.641701, Time  0.232610
2021-09-11 01:47:25.560830 : Epoch  3, Batch    428, Loss  0.851255, Average Loss  0.868369, Time  0.170512
2021-09-11 01:47:25.812825 : Epoch  1, Batch    487, Loss  0.640781, Average Loss  0.641710, Time  0.241878
2021-09-11 01:47:27.160759 : Epoch  3, Batch    429, Loss  0.873401, Average Loss  0.868500, Time  0.170443
2021-09-11 01:47:27.413993 : Epoch  1, Batch    488, Loss  0.644954, Average Loss  0.641703, Time  0.241133
2021-09-11 01:47:28.787751 : Epoch  3, Batch    430, Loss  0.905541, Average Loss  0.868706, Time  0.171875
2021-09-11 01:47:28.962855 : Epoch  1, Batch    489, Loss  0.637110, Average Loss  0.641704, Time  0.231480
2021-09-11 01:47:30.418742 : Epoch  3, Batch    431, Loss  0.872960, Average Loss  0.868702, Time  0.176914
2021-09-11 01:47:30.503816 : Epoch  1, Batch    490, Loss  0.639767, Average Loss  0.641683, Time  0.231396
2021-09-11 01:47:32.036024 : Epoch  3, Batch    432, Loss  0.877474, Average Loss  0.868589, Time  0.177848
2021-09-11 01:47:32.123562 : Epoch  1, Batch    491, Loss  0.638327, Average Loss  0.641641, Time  0.312680
2021-09-11 01:47:33.675166 : Epoch  1, Batch    492, Loss  0.642795, Average Loss  0.641673, Time  0.231476
2021-09-11 01:47:33.692759 : Epoch  3, Batch    433, Loss  0.890346, Average Loss  0.868507, Time  0.172845
2021-09-11 01:47:35.227945 : Epoch  1, Batch    493, Loss  0.637349, Average Loss  0.641686, Time  0.239665
2021-09-11 01:47:35.311000 : Epoch  3, Batch    434, Loss  0.873926, Average Loss  0.868611, Time  0.169863
2021-09-11 01:47:36.756391 : Epoch  1, Batch    494, Loss  0.642396, Average Loss  0.641718, Time  0.231803
2021-09-11 01:47:36.935742 : Epoch  3, Batch    435, Loss  0.878644, Average Loss  0.868705, Time  0.169818
2021-09-11 01:47:38.313445 : Epoch  1, Batch    495, Loss  0.635612, Average Loss  0.641695, Time  0.231981
2021-09-11 01:47:38.588980 : Epoch  3, Batch    436, Loss  0.851578, Average Loss  0.868775, Time  0.169727
2021-09-11 01:47:39.865094 : Epoch  1, Batch    496, Loss  0.636041, Average Loss  0.641683, Time  0.240671
2021-09-11 01:47:40.216997 : Epoch  3, Batch    437, Loss  0.891493, Average Loss  0.868924, Time  0.171931
2021-09-11 01:47:41.423825 : Epoch  1, Batch    497, Loss  0.644797, Average Loss  0.641687, Time  0.234904
2021-09-11 01:47:41.859051 : Epoch  3, Batch    438, Loss  0.863492, Average Loss  0.868969, Time  0.171424
2021-09-11 01:47:42.996144 : Epoch  1, Batch    498, Loss  0.638672, Average Loss  0.641680, Time  0.231390
2021-09-11 01:47:43.491740 : Epoch  3, Batch    439, Loss  0.837617, Average Loss  0.868643, Time  0.170009
2021-09-11 01:47:44.539070 : Epoch  1, Batch    499, Loss  0.635578, Average Loss  0.641714, Time  0.235582
2021-09-11 01:47:45.114789 : Epoch  3, Batch    440, Loss  0.869127, Average Loss  0.868570, Time  0.170425
2021-09-11 01:47:46.077258 : Epoch  1, Batch    500, Loss  0.648088, Average Loss  0.641766, Time  0.233737
2021-09-11 01:47:46.731749 : Epoch  3, Batch    441, Loss  0.887039, Average Loss  0.868518, Time  0.169835
2021-09-11 01:47:48.338035 : Epoch  3, Batch    442, Loss  0.858381, Average Loss  0.868412, Time  0.170097
2021-09-11 01:47:49.947776 : Epoch  3, Batch    443, Loss  0.888349, Average Loss  0.868583, Time  0.169938
2021-09-11 01:47:51.592741 : Epoch  3, Batch    444, Loss  0.848717, Average Loss  0.868431, Time  0.170037
2021-09-11 01:47:53.217991 : Epoch  3, Batch    445, Loss  0.860818, Average Loss  0.868419, Time  0.169871
2021-09-11 01:47:54.856760 : Epoch  3, Batch    446, Loss  0.890814, Average Loss  0.868662, Time  0.169719
2021-09-11 01:47:56.483929 : Epoch  3, Batch    447, Loss  0.887390, Average Loss  0.868756, Time  0.169352
2021-09-11 01:47:58.106752 : Epoch  3, Batch    448, Loss  0.872724, Average Loss  0.868771, Time  0.169486
2021-09-11 01:47:59.740994 : Epoch  3, Batch    449, Loss  0.878851, Average Loss  0.868784, Time  0.169584
2021-09-11 01:48:01.369996 : Epoch  3, Batch    450, Loss  0.850650, Average Loss  0.868883, Time  0.169989
2021-09-11 01:48:03.003778 : Epoch  3, Batch    451, Loss  0.857068, Average Loss  0.868923, Time  0.169818
2021-09-11 01:48:04.655097 : Epoch  3, Batch    452, Loss  0.865130, Average Loss  0.868858, Time  0.169799
2021-09-11 01:48:06.275996 : Epoch  3, Batch    453, Loss  0.857477, Average Loss  0.868711, Time  0.169689
2021-09-11 01:48:07.936761 : Epoch  3, Batch    454, Loss  0.857883, Average Loss  0.868802, Time  0.169883
2021-09-11 01:48:09.551993 : Epoch  3, Batch    455, Loss  0.886714, Average Loss  0.868895, Time  0.169526
2021-09-11 01:48:11.199747 : Epoch  3, Batch    456, Loss  0.894534, Average Loss  0.869003, Time  0.171900
2021-09-11 01:48:12.828827 : Epoch  3, Batch    457, Loss  0.882102, Average Loss  0.869103, Time  0.169697
2021-09-11 01:48:14.467776 : Epoch  3, Batch    458, Loss  0.855365, Average Loss  0.869070, Time  0.169760
2021-09-11 01:48:16.085822 : Epoch  3, Batch    459, Loss  0.922957, Average Loss  0.869293, Time  0.169868
2021-09-11 01:48:17.747769 : Epoch  3, Batch    460, Loss  0.841266, Average Loss  0.869259, Time  0.169939
2021-09-11 01:48:19.393803 : Epoch  3, Batch    461, Loss  0.875432, Average Loss  0.869291, Time  0.169395
2021-09-11 01:48:21.002996 : Epoch  3, Batch    462, Loss  0.854776, Average Loss  0.869379, Time  0.169614
2021-09-11 01:48:22.625823 : Epoch  3, Batch    463, Loss  0.885881, Average Loss  0.869412, Time  0.169544
2021-09-11 01:48:24.273001 : Epoch  3, Batch    464, Loss  0.862282, Average Loss  0.869305, Time  0.170097
2021-09-11 01:48:25.901789 : Epoch  3, Batch    465, Loss  0.853120, Average Loss  0.869110, Time  0.169579
2021-09-11 01:48:27.499999 : Epoch  3, Batch    466, Loss  0.893709, Average Loss  0.869198, Time  0.169873
2021-09-11 01:48:29.126987 : Epoch  3, Batch    467, Loss  0.834601, Average Loss  0.869159, Time  0.169375
2021-09-11 01:48:30.768799 : Epoch  3, Batch    468, Loss  0.885879, Average Loss  0.869330, Time  0.170338
2021-09-11 01:48:32.382756 : Epoch  3, Batch    469, Loss  0.876416, Average Loss  0.869340, Time  0.169769
2021-09-11 01:48:34.014818 : Epoch  3, Batch    470, Loss  0.833825, Average Loss  0.869417, Time  0.169877
2021-09-11 01:48:35.617733 : Epoch  3, Batch    471, Loss  0.865421, Average Loss  0.869300, Time  0.169886
2021-09-11 01:48:37.254995 : Epoch  3, Batch    472, Loss  0.866516, Average Loss  0.869185, Time  0.169504
2021-09-11 01:48:38.889761 : Epoch  3, Batch    473, Loss  0.848067, Average Loss  0.868995, Time  0.169807
2021-09-11 01:48:40.523880 : Epoch  3, Batch    474, Loss  0.875540, Average Loss  0.869122, Time  0.170168
2021-09-11 01:48:42.144737 : Epoch  3, Batch    475, Loss  0.876451, Average Loss  0.869359, Time  0.172611
2021-09-11 01:48:43.770757 : Epoch  3, Batch    476, Loss  0.885843, Average Loss  0.869494, Time  0.169796
2021-09-11 01:48:43.868753 : CheckPoint: Validation Loss  0.00025998, Best Loss  0.00025998
2021-09-11 01:48:43.919591 : Best Model Updated
2021-09-11 01:48:45.406769 : Epoch  3, Batch    477, Loss  0.877242, Average Loss  0.869652, Time  0.169694
2021-09-11 01:48:46.509814 : Epoch  1, Batch    501, Loss  0.657094, Average Loss  0.641827, Time  0.234826
2021-09-11 01:48:47.014810 : Epoch  3, Batch    478, Loss  0.839280, Average Loss  0.869604, Time  0.170081
2021-09-11 01:48:48.045863 : Epoch  1, Batch    502, Loss  0.640635, Average Loss  0.641782, Time  0.231688
2021-09-11 01:48:49.571208 : Epoch  1, Batch    503, Loss  0.641254, Average Loss  0.641753, Time  0.231502
2021-09-11 01:48:51.140864 : Epoch  1, Batch    504, Loss  0.640021, Average Loss  0.641751, Time  0.234615
2021-09-11 01:48:52.687329 : Epoch  1, Batch    505, Loss  0.635671, Average Loss  0.641759, Time  0.232713
2021-09-11 01:48:54.234004 : Epoch  1, Batch    506, Loss  0.645479, Average Loss  0.641792, Time  0.231738
2021-09-11 01:48:55.774404 : Epoch  1, Batch    507, Loss  0.640136, Average Loss  0.641772, Time  0.237357
2021-09-11 01:48:57.304364 : Epoch  1, Batch    508, Loss  0.645181, Average Loss  0.641766, Time  0.232963
2021-09-11 01:48:58.936460 : Epoch  1, Batch    509, Loss  0.640311, Average Loss  0.641768, Time  0.235870
2021-09-11 01:49:00.508369 : Epoch  1, Batch    510, Loss  0.631353, Average Loss  0.641731, Time  0.238299
2021-09-11 01:49:02.134031 : Epoch  1, Batch    511, Loss  0.640748, Average Loss  0.641743, Time  0.314113
2021-09-11 01:49:03.724536 : Epoch  1, Batch    512, Loss  0.642790, Average Loss  0.641771, Time  0.244782
2021-09-11 01:49:05.255320 : Epoch  1, Batch    513, Loss  0.642120, Average Loss  0.641757, Time  0.231376
2021-09-11 01:49:06.792409 : Epoch  1, Batch    514, Loss  0.644095, Average Loss  0.641789, Time  0.233127
2021-09-11 01:49:08.329020 : Epoch  1, Batch    515, Loss  0.638806, Average Loss  0.641759, Time  0.231140
2021-09-11 01:49:09.885439 : Epoch  1, Batch    516, Loss  0.648738, Average Loss  0.641818, Time  0.236142
2021-09-11 01:49:11.442035 : Epoch  1, Batch    517, Loss  0.639289, Average Loss  0.641786, Time  0.232942
2021-09-11 01:49:12.992639 : Epoch  1, Batch    518, Loss  0.639408, Average Loss  0.641803, Time  0.231657
2021-09-11 01:49:14.537378 : Epoch  1, Batch    519, Loss  0.636121, Average Loss  0.641732, Time  0.236424
2021-09-11 01:49:16.083815 : Epoch  1, Batch    520, Loss  0.638621, Average Loss  0.641681, Time  0.235602
2021-09-11 01:49:17.627403 : Epoch  1, Batch    521, Loss  0.645322, Average Loss  0.641714, Time  0.232336
2021-09-11 01:49:19.243403 : Epoch  1, Batch    522, Loss  0.635953, Average Loss  0.641689, Time  0.312906
2021-09-11 01:49:20.780156 : Epoch  1, Batch    523, Loss  0.637961, Average Loss  0.641650, Time  0.231576
2021-09-11 01:49:22.355839 : Epoch  1, Batch    524, Loss  0.646685, Average Loss  0.641645, Time  0.231673
2021-09-11 01:49:23.913472 : Epoch  1, Batch    525, Loss  0.649452, Average Loss  0.641678, Time  0.231323
2021-09-11 01:49:25.471860 : Epoch  1, Batch    526, Loss  0.641615, Average Loss  0.641681, Time  0.231451
2021-09-11 01:49:27.007154 : Epoch  1, Batch    527, Loss  0.637191, Average Loss  0.641638, Time  0.235492
2021-09-11 01:49:28.569870 : Epoch  1, Batch    528, Loss  0.642521, Average Loss  0.641603, Time  0.235879
2021-09-11 01:49:30.122447 : Epoch  1, Batch    529, Loss  0.654889, Average Loss  0.641648, Time  0.232794
2021-09-11 01:49:31.676563 : Epoch  1, Batch    530, Loss  0.632678, Average Loss  0.641591, Time  0.231727
2021-09-11 01:49:33.299067 : Epoch  1, Batch    531, Loss  0.635511, Average Loss  0.641541, Time  0.231585
2021-09-11 01:49:34.904534 : Epoch  1, Batch    532, Loss  0.646327, Average Loss  0.641607, Time  0.232042
2021-09-11 01:49:36.450880 : Epoch  1, Batch    533, Loss  0.654023, Average Loss  0.641644, Time  0.231679
2021-09-11 01:49:37.996885 : Epoch  1, Batch    534, Loss  0.648648, Average Loss  0.641650, Time  0.233153
2021-09-11 01:49:39.562034 : Epoch  1, Batch    535, Loss  0.636441, Average Loss  0.641618, Time  0.237852
2021-09-11 01:49:41.183362 : Epoch  1, Batch    536, Loss  0.635976, Average Loss  0.641575, Time  0.312466
2021-09-11 01:49:42.735061 : Epoch  1, Batch    537, Loss  0.650210, Average Loss  0.641622, Time  0.231107
2021-09-11 01:49:44.284867 : Epoch  1, Batch    538, Loss  0.632843, Average Loss  0.641616, Time  0.231554
2021-09-11 01:49:45.838831 : Epoch  1, Batch    539, Loss  0.647808, Average Loss  0.641634, Time  0.231205
2021-09-11 01:49:47.393434 : Epoch  1, Batch    540, Loss  0.637891, Average Loss  0.641596, Time  0.231334
2021-09-11 01:49:48.931650 : Epoch  1, Batch    541, Loss  0.641600, Average Loss  0.641594, Time  0.233463
2021-09-11 01:49:50.469233 : Epoch  1, Batch    542, Loss  0.650496, Average Loss  0.641610, Time  0.231434
2021-09-11 01:49:52.043880 : Epoch  1, Batch    543, Loss  0.648888, Average Loss  0.641616, Time  0.236755
2021-09-11 01:49:53.615501 : Epoch  1, Batch    544, Loss  0.627513, Average Loss  0.641599, Time  0.235749
2021-09-11 01:49:55.161820 : Epoch  1, Batch    545, Loss  0.645155, Average Loss  0.641638, Time  0.231222
2021-09-11 01:49:56.710832 : Epoch  1, Batch    546, Loss  0.642112, Average Loss  0.641620, Time  0.237762
2021-09-11 01:49:58.287120 : Epoch  1, Batch    547, Loss  0.638766, Average Loss  0.641580, Time  0.231629
2021-09-11 01:49:59.812876 : Epoch  1, Batch    548, Loss  0.644576, Average Loss  0.641572, Time  0.233272
2021-09-11 01:50:01.438107 : Epoch  1, Batch    549, Loss  0.635282, Average Loss  0.641523, Time  0.317303
2021-09-11 01:50:02.983228 : Epoch  1, Batch    550, Loss  0.645198, Average Loss  0.641514, Time  0.230987
2021-09-11 01:50:04.705036 : Epoch  1, Batch    551, Loss  0.638327, Average Loss  0.641540, Time  0.236482
2021-09-11 01:50:06.236112 : Epoch  1, Batch    552, Loss  0.641180, Average Loss  0.641504, Time  0.235326
2021-09-11 01:50:07.770101 : Epoch  1, Batch    553, Loss  0.637706, Average Loss  0.641464, Time  0.235223
2021-09-11 01:50:09.304974 : Epoch  1, Batch    554, Loss  0.647277, Average Loss  0.641515, Time  0.235417
2021-09-11 01:50:10.834070 : Epoch  1, Batch    555, Loss  0.645520, Average Loss  0.641557, Time  0.236066
2021-09-11 01:50:12.381123 : Epoch  1, Batch    556, Loss  0.646378, Average Loss  0.641585, Time  0.234456
2021-09-11 01:50:12.980741 : CheckPoint: Validation Loss  0.00032000, Best Loss  0.00032000
2021-09-11 01:50:13.026573 : Best Model Updated
2021-09-11 01:50:13.907184 : Epoch  1, Batch    557, Loss  0.639046, Average Loss  0.641568, Time  0.232769
2021-09-11 01:50:15.526308 : Epoch  1, Batch    558, Loss  0.645940, Average Loss  0.641610, Time  0.231404
2021-09-11 01:50:16.815103 : Epoch  1, Batch    201, Loss  0.969839, Average Loss  1.422305, Time  0.244209
2021-09-11 01:50:17.052425 : Epoch  1, Batch    559, Loss  0.642547, Average Loss  0.641621, Time  0.231464
2021-09-11 01:50:18.577992 : Epoch  1, Batch    560, Loss  0.640773, Average Loss  0.641590, Time  0.231464
2021-09-11 01:50:19.441430 : Epoch  1, Batch    202, Loss  0.970042, Average Loss  1.417384, Time  0.240245
2021-09-11 01:50:20.121068 : Epoch  1, Batch    561, Loss  0.628813, Average Loss  0.641505, Time  0.230922
2021-09-11 01:50:21.680410 : Epoch  1, Batch    562, Loss  0.638691, Average Loss  0.641470, Time  0.231738
2021-09-11 01:50:22.117939 : Epoch  1, Batch    203, Loss  0.949551, Average Loss  1.412329, Time  0.243217
2021-09-11 01:50:23.230015 : Epoch  1, Batch    563, Loss  0.638998, Average Loss  0.641417, Time  0.235021
2021-09-11 01:50:24.991008 : Epoch  1, Batch    204, Loss  0.961781, Average Loss  1.407364, Time  0.449863
2021-09-11 01:50:25.031032 : Epoch  1, Batch    564, Loss  0.642435, Average Loss  0.641419, Time  0.456854
2021-09-11 01:50:26.572930 : Epoch  1, Batch    565, Loss  0.637279, Average Loss  0.641391, Time  0.231773
2021-09-11 01:50:27.617896 : Epoch  1, Batch    205, Loss  0.973328, Average Loss  1.402487, Time  0.241024
2021-09-11 01:50:28.114390 : Epoch  1, Batch    566, Loss  0.644044, Average Loss  0.641431, Time  0.231252
2021-09-11 01:50:29.649870 : Epoch  1, Batch    567, Loss  0.635445, Average Loss  0.641387, Time  0.231571
2021-09-11 01:50:30.249400 : Epoch  1, Batch    206, Loss  0.972289, Average Loss  1.397672, Time  0.243177
2021-09-11 01:50:31.185796 : Epoch  1, Batch    568, Loss  0.636467, Average Loss  0.641374, Time  0.231331
2021-09-11 01:50:32.916123 : Epoch  1, Batch    569, Loss  0.638779, Average Loss  0.641307, Time  0.398215
2021-09-11 01:50:32.974069 : Epoch  1, Batch    207, Loss  0.998413, Average Loss  1.393004, Time  0.340781
2021-09-11 01:50:34.447394 : Epoch  1, Batch    570, Loss  0.632690, Average Loss  0.641284, Time  0.235029
2021-09-11 01:50:35.615241 : Epoch  1, Batch    208, Loss  0.961540, Average Loss  1.388150, Time  0.241695
2021-09-11 01:50:38.231874 : Epoch  1, Batch    209, Loss  0.980886, Average Loss  1.383490, Time  0.237578
2021-09-11 01:50:38.449930 : Epoch  1, Batch    571, Loss  0.652190, Average Loss  0.641324, Time  0.234904
2021-09-11 01:50:40.024576 : Epoch  1, Batch    572, Loss  0.643761, Average Loss  0.641302, Time  0.233825
2021-09-11 01:50:40.859425 : Epoch  1, Batch    210, Loss  0.943181, Average Loss  1.378669, Time  0.244537
2021-09-11 01:50:41.577876 : Epoch  1, Batch    573, Loss  0.631713, Average Loss  0.641295, Time  0.234497
2021-09-11 01:50:43.133241 : Epoch  1, Batch    574, Loss  0.638934, Average Loss  0.641310, Time  0.233817
2021-09-11 01:50:43.474846 : Epoch  1, Batch    211, Loss  0.999084, Average Loss  1.374219, Time  0.238861
2021-09-11 01:50:44.692093 : Epoch  1, Batch    575, Loss  0.634159, Average Loss  0.641283, Time  0.231717
2021-09-11 01:50:46.269419 : Epoch  1, Batch    212, Loss  0.947093, Average Loss  1.369599, Time  0.398500
2021-09-11 01:50:46.325396 : Epoch  1, Batch    576, Loss  0.644377, Average Loss  0.641288, Time  0.329925
2021-09-11 01:50:47.870852 : Epoch  1, Batch    577, Loss  0.638840, Average Loss  0.641290, Time  0.235437
2021-09-11 01:50:48.918039 : Epoch  1, Batch    213, Loss  0.979055, Average Loss  1.365148, Time  0.245600
2021-09-11 01:50:49.412891 : Epoch  1, Batch    578, Loss  0.654530, Average Loss  0.641338, Time  0.236765
2021-09-11 01:50:50.967959 : Epoch  1, Batch    579, Loss  0.634012, Average Loss  0.641282, Time  0.236759
2021-09-11 01:50:51.537827 : Epoch  1, Batch    214, Loss  0.949306, Average Loss  1.360657, Time  0.237949
2021-09-11 01:50:52.537056 : Epoch  1, Batch    580, Loss  0.641092, Average Loss  0.641256, Time  0.237682
2021-09-11 01:50:54.228927 : Epoch  1, Batch    581, Loss  0.634583, Average Loss  0.641201, Time  0.389436
2021-09-11 01:50:54.293907 : Epoch  1, Batch    215, Loss  0.957261, Average Loss  1.356264, Time  0.329793
2021-09-11 01:50:55.754361 : Epoch  1, Batch    582, Loss  0.644098, Average Loss  0.641194, Time  0.232459
2021-09-11 01:50:56.931921 : Epoch  1, Batch    216, Loss  0.965065, Average Loss  1.351963, Time  0.241077
2021-09-11 01:50:57.288098 : Epoch  1, Batch    583, Loss  0.636717, Average Loss  0.641111, Time  0.231443
2021-09-11 01:50:58.826145 : Epoch  1, Batch    584, Loss  0.641951, Average Loss  0.641086, Time  0.238277
2021-09-11 01:50:59.571906 : Epoch  1, Batch    217, Loss  0.964216, Average Loss  1.347751, Time  0.242357
2021-09-11 01:51:00.384092 : Epoch  1, Batch    585, Loss  0.638916, Average Loss  0.641047, Time  0.231471
2021-09-11 01:51:01.912820 : Epoch  1, Batch    586, Loss  0.642275, Average Loss  0.641038, Time  0.232506
2021-09-11 01:51:02.220931 : Epoch  1, Batch    218, Loss  0.970662, Average Loss  1.343601, Time  0.242176
2021-09-11 01:51:03.489849 : Epoch  1, Batch    587, Loss  0.653015, Average Loss  0.641120, Time  0.231245
2021-09-11 01:51:04.907036 : Epoch  1, Batch    219, Loss  0.963360, Average Loss  1.339588, Time  0.289030
2021-09-11 01:51:05.065353 : Epoch  1, Batch    588, Loss  0.635390, Average Loss  0.641072, Time  0.249273
2021-09-11 01:51:06.599946 : Epoch  1, Batch    589, Loss  0.643359, Average Loss  0.641116, Time  0.232697
2021-09-11 01:51:07.514886 : Epoch  1, Batch    220, Loss  0.955734, Average Loss  1.335585, Time  0.242682
2021-09-11 01:51:08.160465 : Epoch  1, Batch    590, Loss  0.645879, Average Loss  0.641156, Time  0.231226
2021-09-11 01:51:09.711426 : Epoch  1, Batch    591, Loss  0.641546, Average Loss  0.641124, Time  0.235035
2021-09-11 01:51:10.162811 : Epoch  1, Batch    221, Loss  0.976497, Average Loss  1.331679, Time  0.248609
2021-09-11 01:51:11.244888 : Epoch  1, Batch    592, Loss  0.639823, Average Loss  0.641111, Time  0.231736
2021-09-11 01:51:13.008364 : Epoch  1, Batch    593, Loss  0.635164, Average Loss  0.641060, Time  0.453133
2021-09-11 01:51:13.054443 : Epoch  1, Batch    222, Loss  0.949658, Average Loss  1.327701, Time  0.444605
2021-09-11 01:51:14.550613 : Epoch  1, Batch    594, Loss  0.644110, Average Loss  0.641046, Time  0.233787
2021-09-11 01:51:15.670422 : Epoch  1, Batch    223, Loss  0.956636, Average Loss  1.323813, Time  0.244229
2021-09-11 01:51:16.084109 : Epoch  1, Batch    595, Loss  0.647893, Average Loss  0.641116, Time  0.232538
2021-09-11 01:51:17.636299 : Epoch  1, Batch    596, Loss  0.633854, Average Loss  0.641093, Time  0.235007
2021-09-11 01:51:18.319921 : Epoch  1, Batch    224, Loss  0.963700, Average Loss  1.320021, Time  0.238733
2021-09-11 01:51:19.198834 : Epoch  1, Batch    597, Loss  0.640879, Average Loss  0.641089, Time  0.238201
2021-09-11 01:51:20.735423 : Epoch  1, Batch    598, Loss  0.646642, Average Loss  0.641176, Time  0.231083
2021-09-11 01:51:21.034963 : Epoch  1, Batch    225, Loss  0.952607, Average Loss  1.316179, Time  0.241486
2021-09-11 01:51:22.283163 : Epoch  1, Batch    599, Loss  0.639096, Average Loss  0.641196, Time  0.232335
2021-09-11 01:51:23.728905 : Epoch  1, Batch    226, Loss  0.972673, Average Loss  1.312493, Time  0.327201
2021-09-11 01:51:23.855899 : Epoch  1, Batch    600, Loss  0.644828, Average Loss  0.641230, Time  0.275424
2021-09-11 01:51:26.328007 : Epoch  1, Batch    227, Loss  0.967633, Average Loss  1.308795, Time  0.239144
2021-09-11 01:51:29.025913 : Epoch  1, Batch    228, Loss  0.952191, Average Loss  1.305041, Time  0.318283
2021-09-11 01:51:31.727083 : Epoch  1, Batch    229, Loss  0.951606, Average Loss  1.301285, Time  0.318276
2021-09-11 01:51:34.439154 : Epoch  1, Batch    230, Loss  0.971289, Average Loss  1.297647, Time  0.317482
2021-09-11 01:51:37.137108 : Epoch  1, Batch    231, Loss  0.967246, Average Loss  1.293982, Time  0.326099
2021-09-11 01:51:39.834989 : Epoch  1, Batch    232, Loss  0.970302, Average Loss  1.290389, Time  0.321102
2021-09-11 01:51:42.538241 : Epoch  1, Batch    233, Loss  0.951816, Average Loss  1.286754, Time  0.318191
2021-09-11 01:51:45.333414 : Epoch  1, Batch    234, Loss  0.962053, Average Loss  1.283154, Time  0.240901
2021-09-11 01:51:47.953974 : Epoch  1, Batch    235, Loss  0.949280, Average Loss  1.279479, Time  0.240248
2021-09-11 01:51:50.600187 : Epoch  1, Batch    236, Loss  0.959623, Average Loss  1.275873, Time  0.238026
2021-09-11 01:51:53.225045 : Epoch  1, Batch    237, Loss  0.963948, Average Loss  1.272326, Time  0.242308
2021-09-11 01:51:55.853929 : Epoch  1, Batch    238, Loss  0.939507, Average Loss  1.268704, Time  0.239011
2021-09-11 01:51:58.468041 : Epoch  1, Batch    239, Loss  0.964205, Average Loss  1.265171, Time  0.242005
2021-09-11 01:52:01.161030 : Epoch  1, Batch    240, Loss  0.928799, Average Loss  1.261447, Time  0.301354
2021-09-11 01:52:03.777017 : Epoch  1, Batch    241, Loss  0.951537, Average Loss  1.257814, Time  0.237771
2021-09-11 01:52:06.395410 : Epoch  1, Batch    242, Loss  0.929419, Average Loss  1.254084, Time  0.238307
2021-09-11 01:52:08.991872 : Epoch  1, Batch    243, Loss  0.948736, Average Loss  1.250458, Time  0.238216
2021-09-11 01:52:11.601051 : Epoch  1, Batch    244, Loss  0.947197, Average Loss  1.246818, Time  0.237866
2021-09-11 01:52:14.244973 : Epoch  1, Batch    245, Loss  0.941213, Average Loss  1.243192, Time  0.238057
2021-09-11 01:52:16.963985 : Epoch  1, Batch    246, Loss  0.950686, Average Loss  1.239612, Time  0.324191
2021-09-11 01:52:19.667794 : Epoch  1, Batch    247, Loss  0.927099, Average Loss  1.235778, Time  0.327589
2021-09-11 01:52:22.366091 : Epoch  1, Batch    248, Loss  0.952121, Average Loss  1.232160, Time  0.318846
2021-09-11 01:52:24.138932 : CheckPoint: Validation Loss  0.00026730, Best Loss  0.00025998
2021-09-11 01:52:25.065985 : Epoch  1, Batch    249, Loss  0.967906, Average Loss  1.228670, Time  0.244289
2021-09-11 01:52:25.718087 : Epoch  1, Batch    601, Loss  0.635176, Average Loss  0.641203, Time  0.238478
2021-09-11 01:52:27.301061 : Epoch  1, Batch    602, Loss  0.643404, Average Loss  0.641226, Time  0.232946
2021-09-11 01:52:27.763942 : Epoch  1, Batch    250, Loss  0.938103, Average Loss  1.224966, Time  0.238538
2021-09-11 01:52:28.930969 : Epoch  1, Batch    603, Loss  0.643266, Average Loss  0.641266, Time  0.233895
2021-09-11 01:52:30.735418 : Epoch  1, Batch    604, Loss  0.637779, Average Loss  0.641270, Time  0.446526
2021-09-11 01:52:30.778976 : Epoch  1, Batch    251, Loss  0.936631, Average Loss  1.221357, Time  0.410140
2021-09-11 01:52:32.322450 : Epoch  1, Batch    605, Loss  0.636389, Average Loss  0.641205, Time  0.231350
2021-09-11 01:52:33.442479 : Epoch  1, Batch    252, Loss  0.929615, Average Loss  1.217683, Time  0.238653
2021-09-11 01:52:33.897856 : Epoch  1, Batch    606, Loss  0.632702, Average Loss  0.641109, Time  0.233177
2021-09-11 01:52:35.479969 : Epoch  1, Batch    607, Loss  0.640442, Average Loss  0.641136, Time  0.232524
2021-09-11 01:52:36.115887 : Epoch  1, Batch    253, Loss  0.947214, Average Loss  1.214060, Time  0.245658
2021-09-11 01:52:37.051463 : Epoch  1, Batch    608, Loss  0.643738, Average Loss  0.641115, Time  0.236934
2021-09-11 01:52:38.705989 : Epoch  1, Batch    609, Loss  0.628817, Average Loss  0.641059, Time  0.319674
2021-09-11 01:52:38.832868 : Epoch  1, Batch    254, Loss  0.943529, Average Loss  1.210458, Time  0.280155
2021-09-11 01:52:40.387919 : Epoch  1, Batch    610, Loss  0.646230, Average Loss  0.641088, Time  0.232079
2021-09-11 01:52:41.492882 : Epoch  1, Batch    255, Loss  0.944169, Average Loss  1.206842, Time  0.239269
2021-09-11 01:52:41.956895 : Epoch  1, Batch    611, Loss  0.641010, Average Loss  0.641074, Time  0.237638
2021-09-11 01:52:43.516420 : Epoch  1, Batch    612, Loss  0.639750, Average Loss  0.641039, Time  0.241991
2021-09-11 01:52:44.146888 : Epoch  1, Batch    256, Loss  0.937783, Average Loss  1.203264, Time  0.243189
2021-09-11 01:52:45.089337 : Epoch  1, Batch    613, Loss  0.644082, Average Loss  0.641057, Time  0.232159
2021-09-11 01:52:46.788020 : Epoch  1, Batch    614, Loss  0.631271, Average Loss  0.641024, Time  0.367050
2021-09-11 01:52:46.863371 : Epoch  1, Batch    257, Loss  0.926778, Average Loss  1.199660, Time  0.307337
2021-09-11 01:52:48.346382 : Epoch  1, Batch    615, Loss  0.641207, Average Loss  0.641033, Time  0.233444
2021-09-11 01:52:49.479937 : Epoch  1, Batch    258, Loss  0.946478, Average Loss  1.196138, Time  0.243014
2021-09-11 01:52:49.911446 : Epoch  1, Batch    616, Loss  0.638384, Average Loss  0.641019, Time  0.232538
2021-09-11 01:52:51.488833 : Epoch  1, Batch    617, Loss  0.641214, Average Loss  0.641055, Time  0.245275
2021-09-11 01:52:52.156978 : Epoch  1, Batch    259, Loss  0.962736, Average Loss  1.192671, Time  0.243675
2021-09-11 01:52:53.040986 : Epoch  1, Batch    618, Loss  0.640729, Average Loss  0.641053, Time  0.232298
2021-09-11 01:52:54.730969 : Epoch  1, Batch    619, Loss  0.637555, Average Loss  0.640993, Time  0.346526
2021-09-11 01:52:54.845870 : Epoch  1, Batch    260, Loss  0.925313, Average Loss  1.188932, Time  0.296283
2021-09-11 01:52:56.297443 : Epoch  1, Batch    620, Loss  0.640315, Average Loss  0.640992, Time  0.232131
2021-09-11 01:52:57.480126 : Epoch  1, Batch    261, Loss  0.916181, Average Loss  1.185253, Time  0.240742
2021-09-11 01:52:57.828985 : Epoch  1, Batch    621, Loss  0.651458, Average Loss  0.641028, Time  0.232740
2021-09-11 01:52:59.390006 : Epoch  1, Batch    622, Loss  0.642273, Average Loss  0.641034, Time  0.235564
2021-09-11 01:53:00.111993 : Epoch  1, Batch    262, Loss  0.920357, Average Loss  1.181618, Time  0.244510
2021-09-11 01:53:00.933996 : Epoch  1, Batch    623, Loss  0.647340, Average Loss  0.641118, Time  0.238364
2021-09-11 01:53:02.522876 : Epoch  1, Batch    624, Loss  0.639245, Average Loss  0.641109, Time  0.233771
2021-09-11 01:53:02.745872 : Epoch  1, Batch    263, Loss  0.936250, Average Loss  1.177989, Time  0.249384
2021-09-11 01:53:04.073965 : Epoch  1, Batch    625, Loss  0.637561, Average Loss  0.641089, Time  0.231794
2021-09-11 01:53:05.381894 : Epoch  1, Batch    264, Loss  0.911983, Average Loss  1.174217, Time  0.242861
2021-09-11 01:53:05.641539 : Epoch  1, Batch    626, Loss  0.645308, Average Loss  0.641180, Time  0.249163
2021-09-11 01:53:07.218969 : Epoch  1, Batch    627, Loss  0.633930, Average Loss  0.641170, Time  0.233292
2021-09-11 01:53:08.024958 : Epoch  1, Batch    265, Loss  0.937187, Average Loss  1.170554, Time  0.241349
2021-09-11 01:53:08.818880 : Epoch  1, Batch    628, Loss  0.645643, Average Loss  0.641203, Time  0.238560
2021-09-11 01:53:10.380124 : Epoch  1, Batch    629, Loss  0.634625, Average Loss  0.641136, Time  0.235455
2021-09-11 01:53:10.642402 : Epoch  1, Batch    266, Loss  0.936543, Average Loss  1.166893, Time  0.237779
2021-09-11 01:53:11.911411 : Epoch  1, Batch    630, Loss  0.645482, Average Loss  0.641159, Time  0.231120
2021-09-11 01:53:13.478988 : Epoch  1, Batch    267, Loss  0.918853, Average Loss  1.163263, Time  0.364542
2021-09-11 01:53:13.564437 : Epoch  1, Batch    631, Loss  0.631961, Average Loss  0.641134, Time  0.291178
2021-09-11 01:53:15.161938 : Epoch  1, Batch    632, Loss  0.642386, Average Loss  0.641157, Time  0.236439
2021-09-11 01:53:16.104397 : Epoch  1, Batch    268, Loss  0.930607, Average Loss  1.159681, Time  0.240772
2021-09-11 01:53:16.714882 : Epoch  1, Batch    633, Loss  0.641334, Average Loss  0.641129, Time  0.231332
2021-09-11 01:53:18.307883 : Epoch  1, Batch    634, Loss  0.650944, Average Loss  0.641214, Time  0.240506
2021-09-11 01:53:18.733999 : Epoch  1, Batch    269, Loss  0.916476, Average Loss  1.156062, Time  0.239515
2021-09-11 01:53:19.869975 : Epoch  1, Batch    635, Loss  0.638671, Average Loss  0.641187, Time  0.239374
2021-09-11 01:53:21.659866 : Epoch  1, Batch    270, Loss  0.953155, Average Loss  1.152529, Time  0.450860
2021-09-11 01:53:21.710427 : Epoch  1, Batch    636, Loss  0.635923, Average Loss  0.641153, Time  0.433716
2021-09-11 01:53:23.330331 : Epoch  1, Batch    637, Loss  0.640361, Average Loss  0.641151, Time  0.248338
2021-09-11 01:53:24.317815 : Epoch  1, Batch    271, Loss  0.941367, Average Loss  1.148922, Time  0.240736
2021-09-11 01:53:25.040992 : Epoch  1, Batch    638, Loss  0.648426, Average Loss  0.641191, Time  0.247928
2021-09-11 01:53:26.656974 : Epoch  1, Batch    639, Loss  0.629775, Average Loss  0.641132, Time  0.237956
2021-09-11 01:53:26.951882 : Epoch  1, Batch    272, Loss  0.923002, Average Loss  1.145286, Time  0.245992
2021-09-11 01:53:27.952715 : CheckPoint: Validation Loss  0.00058411, Best Loss  0.00057296
2021-09-11 01:53:28.236407 : Epoch  1, Batch    640, Loss  0.637977, Average Loss  0.641126, Time  0.232485
2021-09-11 01:53:29.594782 : Epoch  3, Batch    479, Loss  0.869695, Average Loss  0.869697, Time  0.176396
2021-09-11 01:53:29.800047 : Epoch  1, Batch    641, Loss  0.650885, Average Loss  0.641162, Time  0.240586
2021-09-11 01:53:31.245761 : Epoch  3, Batch    480, Loss  0.886865, Average Loss  0.869803, Time  0.169893
2021-09-11 01:53:31.379926 : Epoch  1, Batch    642, Loss  0.634852, Average Loss  0.641066, Time  0.235770
2021-09-11 01:53:32.196831 : Epoch  1, Batch    274, Loss  0.917981, Average Loss  1.137913, Time  0.241315
2021-09-11 01:53:32.879781 : Epoch  3, Batch    481, Loss  0.859214, Average Loss  0.869766, Time  0.169595
2021-09-11 01:53:32.950883 : Epoch  1, Batch    643, Loss  0.641035, Average Loss  0.641113, Time  0.231739
2021-09-11 01:53:34.513767 : Epoch  3, Batch    482, Loss  0.849582, Average Loss  0.869846, Time  0.169771
2021-09-11 01:53:34.814488 : Epoch  1, Batch    275, Loss  0.934702, Average Loss  1.134318, Time  0.240989
2021-09-11 01:53:36.071159 : Epoch  1, Batch    645, Loss  0.629315, Average Loss  0.641097, Time  0.231925
2021-09-11 01:53:36.149012 : Epoch  3, Batch    483, Loss  0.867568, Average Loss  0.869903, Time  0.169838
2021-09-11 01:53:37.724979 : Epoch  3, Batch    484, Loss  0.856967, Average Loss  0.869620, Time  0.169790
2021-09-11 01:53:37.788829 : Epoch  1, Batch    276, Loss  0.912801, Average Loss  1.130671, Time  0.447426
2021-09-11 01:53:37.821972 : Epoch  1, Batch    646, Loss  0.644689, Average Loss  0.641079, Time  0.419780
2021-09-11 01:53:39.342871 : Epoch  3, Batch    485, Loss  0.876239, Average Loss  0.869721, Time  0.169646
2021-09-11 01:53:39.408136 : Epoch  1, Batch    647, Loss  0.633349, Average Loss  0.641071, Time  0.232389
2021-09-11 01:53:40.414467 : Epoch  1, Batch    277, Loss  0.919068, Average Loss  1.127021, Time  0.240793
2021-09-11 01:53:40.968984 : Epoch  3, Batch    486, Loss  0.903107, Average Loss  0.869715, Time  0.171830
2021-09-11 01:53:42.599003 : Epoch  3, Batch    487, Loss  0.838529, Average Loss  0.869704, Time  0.170489
2021-09-11 01:53:42.806273 : Epoch  1, Batch    649, Loss  0.649974, Average Loss  0.641080, Time  0.281142
2021-09-11 01:53:43.034918 : Epoch  1, Batch    278, Loss  0.934678, Average Loss  1.123381, Time  0.238670
2021-09-11 01:53:44.232979 : Epoch  3, Batch    488, Loss  0.886992, Average Loss  0.869778, Time  0.169813
2021-09-11 01:53:44.738695 : Epoch  1, Batch    650, Loss  0.644152, Average Loss  0.641043, Time  0.254364
2021-09-11 01:53:45.690403 : Epoch  1, Batch    279, Loss  0.936646, Average Loss  1.119820, Time  0.237908
2021-09-11 01:53:45.858995 : Epoch  3, Batch    489, Loss  0.885998, Average Loss  0.869850, Time  0.171949
2021-09-11 01:53:46.379311 : Epoch  1, Batch    651, Loss  0.641055, Average Loss  0.641040, Time  0.244013
2021-09-11 01:53:47.506994 : Epoch  3, Batch    490, Loss  0.867842, Average Loss  0.869890, Time  0.169735
2021-09-11 01:53:48.039906 : Epoch  1, Batch    652, Loss  0.650697, Average Loss  0.641077, Time  0.261701
2021-09-11 01:53:48.358862 : Epoch  1, Batch    280, Loss  0.925821, Average Loss  1.116158, Time  0.252983
2021-09-11 01:53:49.143996 : Epoch  3, Batch    491, Loss  0.853561, Average Loss  0.869765, Time  0.169940
2021-09-11 01:53:49.713395 : Epoch  1, Batch    653, Loss  0.641302, Average Loss  0.641092, Time  0.236492
2021-09-11 01:53:50.779851 : Epoch  3, Batch    492, Loss  0.849980, Average Loss  0.869676, Time  0.169440
2021-09-11 01:53:50.984925 : Epoch  1, Batch    281, Loss  0.909645, Average Loss  1.112531, Time  0.238809
2021-09-11 01:53:51.395627 : Epoch  1, Batch    654, Loss  0.638632, Average Loss  0.641058, Time  0.238808
2021-09-11 01:53:52.409989 : Epoch  3, Batch    493, Loss  0.867110, Average Loss  0.869667, Time  0.169925
2021-09-11 01:53:53.009185 : Epoch  1, Batch    655, Loss  0.640498, Average Loss  0.641129, Time  0.238731
2021-09-11 01:53:53.604875 : Epoch  1, Batch    282, Loss  0.941312, Average Loss  1.109038, Time  0.243207
2021-09-11 01:53:54.050001 : Epoch  3, Batch    494, Loss  0.873286, Average Loss  0.869699, Time  0.169724
2021-09-11 01:53:54.700368 : Epoch  1, Batch    656, Loss  0.633853, Average Loss  0.641036, Time  0.253371
2021-09-11 01:53:55.684997 : Epoch  3, Batch    495, Loss  0.880373, Average Loss  0.869874, Time  0.169564
2021-09-11 01:53:56.463103 : Epoch  1, Batch    283, Loss  0.924924, Average Loss  1.105432, Time  0.446589
2021-09-11 01:53:56.505019 : Epoch  1, Batch    657, Loss  0.640970, Average Loss  0.640995, Time  0.407243
2021-09-11 01:53:57.306734 : Epoch  3, Batch    496, Loss  0.866402, Average Loss  0.869886, Time  0.169684
2021-09-11 01:53:58.163322 : Epoch  1, Batch    658, Loss  0.649901, Average Loss  0.641057, Time  0.235669
2021-09-11 01:53:58.933996 : Epoch  3, Batch    497, Loss  0.899224, Average Loss  0.870049, Time  0.169780
2021-09-11 01:53:59.104235 : Epoch  1, Batch    284, Loss  0.894435, Average Loss  1.101678, Time  0.257553
2021-09-11 01:53:59.803173 : Epoch  1, Batch    659, Loss  0.646390, Average Loss  0.641087, Time  0.243980
2021-09-11 01:54:00.575804 : Epoch  3, Batch    498, Loss  0.886850, Average Loss  0.869992, Time  0.169683
2021-09-11 01:54:01.414422 : Epoch  1, Batch    660, Loss  0.644460, Average Loss  0.641081, Time  0.244917
2021-09-11 01:54:01.726825 : Epoch  1, Batch    285, Loss  0.909653, Average Loss  1.098018, Time  0.241826
2021-09-11 01:54:02.204981 : Epoch  3, Batch    499, Loss  0.838720, Average Loss  0.869954, Time  0.169793
2021-09-11 01:54:03.023051 : Epoch  1, Batch    661, Loss  0.643893, Average Loss  0.641075, Time  0.232673
2021-09-11 01:54:03.845998 : Epoch  3, Batch    500, Loss  0.846920, Average Loss  0.869785, Time  0.169735
2021-09-11 01:54:04.559088 : Epoch  1, Batch    286, Loss  0.927773, Average Loss  1.094512, Time  0.367725
2021-09-11 01:54:04.636465 : Epoch  1, Batch    662, Loss  0.641181, Average Loss  0.641095, Time  0.289687
2021-09-11 01:54:05.482903 : Epoch  3, Batch    501, Loss  0.879739, Average Loss  0.869852, Time  0.169662
2021-09-11 01:54:06.238950 : Epoch  1, Batch    663, Loss  0.644988, Average Loss  0.641095, Time  0.236409
2021-09-11 01:54:07.082747 : Epoch  3, Batch    502, Loss  0.855957, Average Loss  0.869824, Time  0.170932
2021-09-11 01:54:07.173414 : Epoch  1, Batch    287, Loss  0.902262, Average Loss  1.090835, Time  0.241637
2021-09-11 01:54:07.809074 : Epoch  1, Batch    664, Loss  0.637658, Average Loss  0.641414, Time  0.237235
2021-09-11 01:54:08.703941 : Epoch  3, Batch    503, Loss  0.866618, Average Loss  0.869875, Time  0.170130
2021-09-11 01:54:09.493534 : Epoch  1, Batch    665, Loss  0.637930, Average Loss  0.641377, Time  0.306589
2021-09-11 01:54:09.817926 : Epoch  1, Batch    288, Loss  0.916038, Average Loss  1.087258, Time  0.239341
2021-09-11 01:54:10.358796 : Epoch  3, Batch    504, Loss  0.891769, Average Loss  0.869987, Time  0.175317
2021-09-11 01:54:11.044903 : Epoch  1, Batch    666, Loss  0.649198, Average Loss  0.641405, Time  0.231826
2021-09-11 01:54:11.982031 : Epoch  3, Batch    505, Loss  0.861443, Average Loss  0.869744, Time  0.171779
2021-09-11 01:54:12.598941 : Epoch  1, Batch    289, Loss  0.905785, Average Loss  1.083562, Time  0.383016
2021-09-11 01:54:12.665944 : Epoch  1, Batch    667, Loss  0.640352, Average Loss  0.641405, Time  0.312984
2021-09-11 01:54:13.600783 : Epoch  3, Batch    506, Loss  0.887776, Average Loss  0.869818, Time  0.171121
2021-09-11 01:54:14.226633 : Epoch  1, Batch    668, Loss  0.649890, Average Loss  0.641439, Time  0.232016
2021-09-11 01:54:15.222039 : Epoch  3, Batch    507, Loss  0.863098, Average Loss  0.869848, Time  0.175105
2021-09-11 01:54:15.268411 : Epoch  1, Batch    290, Loss  0.928091, Average Loss  1.080063, Time  0.238876
2021-09-11 01:54:15.918261 : Epoch  1, Batch    669, Loss  0.647171, Average Loss  0.641412, Time  0.240589
2021-09-11 01:54:16.849855 : Epoch  3, Batch    508, Loss  0.863241, Average Loss  0.869779, Time  0.175246
2021-09-11 01:54:17.554696 : Epoch  1, Batch    670, Loss  0.648862, Average Loss  0.641389, Time  0.239285
2021-09-11 01:54:17.897177 : Epoch  1, Batch    291, Loss  0.921219, Average Loss  1.076579, Time  0.246294
2021-09-11 01:54:18.482910 : Epoch  3, Batch    509, Loss  0.921504, Average Loss  0.870052, Time  0.171875
2021-09-11 01:54:20.105750 : Epoch  3, Batch    510, Loss  0.875383, Average Loss  0.870045, Time  0.172246
2021-09-11 01:54:20.578890 : Epoch  1, Batch    292, Loss  0.917916, Average Loss  1.073019, Time  0.238277
2021-09-11 01:54:21.715031 : Epoch  3, Batch    511, Loss  0.902155, Average Loss  0.870209, Time  0.172729
2021-09-11 01:54:21.944976 : Epoch  1, Batch    671, Loss  0.634350, Average Loss  0.641353, Time  0.233399
2021-09-11 01:54:23.306966 : Epoch  3, Batch    512, Loss  0.877357, Average Loss  0.870202, Time  0.170639
2021-09-11 01:54:23.327897 : Epoch  1, Batch    293, Loss  0.924147, Average Loss  1.069632, Time  0.239325
2021-09-11 01:54:23.555929 : Epoch  1, Batch    672, Loss  0.642455, Average Loss  0.641301, Time  0.240079
2021-09-11 01:54:24.923982 : Epoch  3, Batch    513, Loss  0.889442, Average Loss  0.870257, Time  0.172127
2021-09-11 01:54:25.135946 : Epoch  1, Batch    673, Loss  0.645117, Average Loss  0.641288, Time  0.235039
2021-09-11 01:54:25.976028 : Epoch  1, Batch    294, Loss  0.923735, Average Loss  1.066236, Time  0.240071
2021-09-11 01:54:26.539005 : Epoch  3, Batch    514, Loss  0.879986, Average Loss  0.870374, Time  0.169878
2021-09-11 01:54:26.694302 : Epoch  1, Batch    674, Loss  0.640991, Average Loss  0.641257, Time  0.232380
2021-09-11 01:54:28.166028 : Epoch  3, Batch    515, Loss  0.862267, Average Loss  0.870493, Time  0.179337
2021-09-11 01:54:28.329218 : Epoch  1, Batch    675, Loss  0.649353, Average Loss  0.641282, Time  0.236261
2021-09-11 01:54:28.765638 : Epoch  1, Batch    295, Loss  0.919409, Average Loss  1.062820, Time  0.239496
2021-09-11 01:54:29.792020 : Epoch  3, Batch    516, Loss  0.879378, Average Loss  0.870582, Time  0.170109
2021-09-11 01:54:29.934970 : Epoch  1, Batch    676, Loss  0.641404, Average Loss  0.641293, Time  0.232363
2021-09-11 01:54:31.429012 : Epoch  3, Batch    517, Loss  0.860023, Average Loss  0.870563, Time  0.184000
2021-09-11 01:54:31.628893 : Epoch  1, Batch    296, Loss  0.924152, Average Loss  1.059555, Time  0.443476
2021-09-11 01:54:31.676168 : Epoch  1, Batch    677, Loss  0.638080, Average Loss  0.641218, Time  0.380834
2021-09-11 01:54:33.065033 : Epoch  3, Batch    518, Loss  0.875451, Average Loss  0.870572, Time  0.172066
2021-09-11 01:54:33.240138 : Epoch  1, Batch    678, Loss  0.642816, Average Loss  0.641197, Time  0.234020
2021-09-11 01:54:34.294422 : Epoch  1, Batch    297, Loss  0.910350, Average Loss  1.056230, Time  0.238045
2021-09-11 01:54:34.684777 : Epoch  3, Batch    519, Loss  0.867516, Average Loss  0.870416, Time  0.174731
2021-09-11 01:54:34.799495 : Epoch  1, Batch    679, Loss  0.638397, Average Loss  0.641205, Time  0.232140
2021-09-11 01:54:36.300744 : Epoch  3, Batch    520, Loss  0.839639, Average Loss  0.870284, Time  0.171882
2021-09-11 01:54:36.349575 : Epoch  1, Batch    680, Loss  0.646331, Average Loss  0.641281, Time  0.231980
2021-09-11 01:54:36.945949 : Epoch  1, Batch    298, Loss  0.914742, Average Loss  1.052958, Time  0.242338
2021-09-11 01:54:37.916037 : Epoch  3, Batch    521, Loss  0.880627, Average Loss  0.870225, Time  0.175984
2021-09-11 01:54:37.955366 : Epoch  1, Batch    681, Loss  0.636332, Average Loss  0.641291, Time  0.233969
2021-09-11 01:54:39.570031 : Epoch  3, Batch    522, Loss  0.894511, Average Loss  0.870276, Time  0.170687
2021-09-11 01:54:39.697424 : Epoch  1, Batch    682, Loss  0.633645, Average Loss  0.641214, Time  0.421702
2021-09-11 01:54:39.750007 : Epoch  1, Batch    299, Loss  0.909518, Average Loss  1.049690, Time  0.364481
2021-09-11 01:54:41.197837 : Epoch  3, Batch    523, Loss  0.850930, Average Loss  0.870081, Time  0.171801
2021-09-11 01:54:41.259154 : Epoch  1, Batch    683, Loss  0.643758, Average Loss  0.641201, Time  0.239629
2021-09-11 01:54:42.368435 : Epoch  1, Batch    300, Loss  0.923122, Average Loss  1.046542, Time  0.238716
2021-09-11 01:54:42.824772 : Epoch  3, Batch    524, Loss  0.877661, Average Loss  0.870194, Time  0.170199
2021-09-11 01:54:44.346322 : Epoch  1, Batch    685, Loss  0.645507, Average Loss  0.641170, Time  0.240896
2021-09-11 01:54:44.474929 : Epoch  3, Batch    525, Loss  0.843642, Average Loss  0.869846, Time  0.169903
2021-09-11 01:54:45.900444 : Epoch  1, Batch    686, Loss  0.645357, Average Loss  0.641247, Time  0.232123
2021-09-11 01:54:46.102989 : Epoch  3, Batch    526, Loss  0.851398, Average Loss  0.869766, Time  0.169484
2021-09-11 01:54:47.457991 : Epoch  1, Batch    687, Loss  0.632958, Average Loss  0.641208, Time  0.231681
2021-09-11 01:54:47.738997 : Epoch  3, Batch    527, Loss  0.886388, Average Loss  0.869837, Time  0.169732
2021-09-11 01:54:49.013160 : Epoch  1, Batch    688, Loss  0.639919, Average Loss  0.641183, Time  0.231707
2021-09-11 01:54:49.365895 : Epoch  3, Batch    528, Loss  0.859635, Average Loss  0.869763, Time  0.169821
2021-09-11 01:54:50.556443 : Epoch  1, Batch    689, Loss  0.641846, Average Loss  0.641207, Time  0.231202
2021-09-11 01:54:51.002980 : Epoch  3, Batch    529, Loss  0.855261, Average Loss  0.869786, Time  0.169460
2021-09-11 01:54:52.091479 : Epoch  1, Batch    690, Loss  0.641237, Average Loss  0.641214, Time  0.234343
2021-09-11 01:54:52.615004 : Epoch  3, Batch    530, Loss  0.887469, Average Loss  0.869773, Time  0.169788
2021-09-11 01:54:53.646962 : Epoch  1, Batch    691, Loss  0.641200, Average Loss  0.641228, Time  0.235640
2021-09-11 01:54:54.247997 : Epoch  3, Batch    531, Loss  0.888491, Average Loss  0.869886, Time  0.169959
2021-09-11 01:54:55.189418 : Epoch  1, Batch    692, Loss  0.635904, Average Loss  0.641194, Time  0.235225
2021-09-11 01:54:55.893043 : Epoch  3, Batch    532, Loss  0.827593, Average Loss  0.869757, Time  0.178293
2021-09-11 01:54:56.724875 : Epoch  1, Batch    693, Loss  0.652382, Average Loss  0.641269, Time  0.231048
2021-09-11 01:54:57.528028 : Epoch  3, Batch    533, Loss  0.860324, Average Loss  0.869632, Time  0.170190
2021-09-11 01:54:58.274018 : Epoch  1, Batch    694, Loss  0.632794, Average Loss  0.641221, Time  0.236888
2021-09-11 01:54:59.144030 : Epoch  3, Batch    534, Loss  0.850911, Average Loss  0.869651, Time  0.172354
2021-09-11 01:54:59.821420 : Epoch  1, Batch    695, Loss  0.639212, Average Loss  0.641239, Time  0.234905
2021-09-11 01:55:00.757033 : Epoch  3, Batch    535, Loss  0.862173, Average Loss  0.869688, Time  0.169993
2021-09-11 01:55:01.360418 : Epoch  1, Batch    696, Loss  0.624955, Average Loss  0.641183, Time  0.231190
2021-09-11 01:55:02.368772 : Epoch  3, Batch    536, Loss  0.849762, Average Loss  0.869430, Time  0.171974
2021-09-11 01:55:02.970114 : Epoch  1, Batch    697, Loss  0.641265, Average Loss  0.641166, Time  0.231220
2021-09-11 01:55:03.958470 : Epoch  3, Batch    537, Loss  0.872039, Average Loss  0.869583, Time  0.170322
2021-09-11 01:55:04.571926 : Epoch  1, Batch    698, Loss  0.643404, Average Loss  0.641189, Time  0.250284
2021-09-11 01:55:05.579889 : Epoch  3, Batch    538, Loss  0.878540, Average Loss  0.869599, Time  0.169849
2021-09-11 01:55:06.227863 : Epoch  1, Batch    699, Loss  0.643848, Average Loss  0.641231, Time  0.323983
2021-09-11 01:55:07.197899 : Epoch  3, Batch    539, Loss  0.860738, Average Loss  0.869497, Time  0.170333
2021-09-11 01:55:07.804408 : Epoch  1, Batch    700, Loss  0.645378, Average Loss  0.641217, Time  0.235333
2021-09-11 01:55:08.818022 : Epoch  3, Batch    540, Loss  0.892793, Average Loss  0.869696, Time  0.171564
2021-09-11 01:55:10.434019 : Epoch  3, Batch    541, Loss  0.881040, Average Loss  0.869667, Time  0.170905
2021-09-11 01:55:12.079756 : Epoch  3, Batch    542, Loss  0.856601, Average Loss  0.869734, Time  0.173758
2021-09-11 01:55:13.706995 : Epoch  3, Batch    543, Loss  0.873524, Average Loss  0.869747, Time  0.169943
2021-09-11 01:55:15.368752 : Epoch  3, Batch    544, Loss  0.876471, Average Loss  0.869844, Time  0.170067
2021-09-11 01:55:16.970826 : Epoch  3, Batch    545, Loss  0.862191, Average Loss  0.869745, Time  0.172604
2021-09-11 01:55:18.590038 : Epoch  3, Batch    546, Loss  0.874519, Average Loss  0.869753, Time  0.174056
2021-09-11 01:55:20.209732 : Epoch  3, Batch    547, Loss  0.882875, Average Loss  0.869888, Time  0.179775
2021-09-11 01:55:21.802826 : Epoch  3, Batch    548, Loss  0.874135, Average Loss  0.869805, Time  0.169865
2021-09-11 01:55:23.437039 : Epoch  3, Batch    549, Loss  0.849907, Average Loss  0.869620, Time  0.169952
2021-09-11 01:55:25.045767 : Epoch  3, Batch    550, Loss  0.873787, Average Loss  0.869595, Time  0.169910
2021-09-11 01:55:26.672869 : Epoch  3, Batch    551, Loss  0.868798, Average Loss  0.869574, Time  0.178639
2021-09-11 01:55:28.356777 : Epoch  3, Batch    552, Loss  0.860614, Average Loss  0.869587, Time  0.178274
2021-09-11 01:55:29.972904 : Epoch  3, Batch    553, Loss  0.872217, Average Loss  0.869464, Time  0.170161
2021-09-11 01:55:31.598798 : Epoch  3, Batch    554, Loss  0.872338, Average Loss  0.869443, Time  0.174355
2021-09-11 01:55:33.212036 : Epoch  3, Batch    555, Loss  0.845965, Average Loss  0.869300, Time  0.173542
2021-09-11 01:55:34.821855 : Epoch  3, Batch    556, Loss  0.858306, Average Loss  0.869224, Time  0.176951
2021-09-11 01:55:36.439766 : Epoch  3, Batch    557, Loss  0.874372, Average Loss  0.869162, Time  0.170160
2021-09-11 01:55:38.071833 : Epoch  3, Batch    558, Loss  0.877115, Average Loss  0.869176, Time  0.171896
2021-09-11 01:55:39.693029 : Epoch  3, Batch    559, Loss  0.854798, Average Loss  0.868972, Time  0.170747
2021-09-11 01:55:41.320024 : Epoch  3, Batch    560, Loss  0.828827, Average Loss  0.868852, Time  0.170860
2021-09-11 01:55:42.943796 : Epoch  3, Batch    561, Loss  0.863480, Average Loss  0.868851, Time  0.180922
2021-09-11 01:55:44.564023 : Epoch  3, Batch    562, Loss  0.920682, Average Loss  0.868993, Time  0.174257
2021-09-11 01:55:46.178025 : Epoch  3, Batch    563, Loss  0.890467, Average Loss  0.869010, Time  0.177751
2021-09-11 01:55:47.796028 : Epoch  3, Batch    564, Loss  0.844927, Average Loss  0.868813, Time  0.177692
2021-09-11 01:55:49.399026 : Epoch  3, Batch    565, Loss  0.912015, Average Loss  0.869082, Time  0.170168
2021-09-11 01:55:51.032796 : Epoch  3, Batch    566, Loss  0.893861, Average Loss  0.869257, Time  0.170940
2021-09-11 01:55:52.651024 : Epoch  3, Batch    567, Loss  0.872031, Average Loss  0.869242, Time  0.171720
2021-09-11 01:55:54.276740 : Epoch  3, Batch    568, Loss  0.884534, Average Loss  0.869485, Time  0.178272
2021-09-11 01:55:55.904845 : Epoch  3, Batch    569, Loss  0.889219, Average Loss  0.869551, Time  0.180092
2021-09-11 01:55:57.521694 : Epoch  3, Batch    570, Loss  0.874377, Average Loss  0.869737, Time  0.175427
2021-09-11 01:55:59.131739 : Epoch  3, Batch    571, Loss  0.865187, Average Loss  0.869789, Time  0.172940
2021-09-11 01:56:00.738033 : Epoch  3, Batch    572, Loss  0.843775, Average Loss  0.869614, Time  0.172044
2021-09-11 01:56:02.358890 : Epoch  3, Batch    573, Loss  0.890353, Average Loss  0.869680, Time  0.170747
2021-09-11 01:56:03.961778 : Epoch  3, Batch    574, Loss  0.875352, Average Loss  0.869804, Time  0.181987
2021-09-11 01:56:05.586751 : Epoch  3, Batch    575, Loss  0.849820, Average Loss  0.869635, Time  0.179819
2021-09-11 01:56:06.356754 : CheckPoint: Validation Loss  0.00026394, Best Loss  0.00025998
2021-09-11 01:56:07.218779 : Epoch  3, Batch    576, Loss  0.896106, Average Loss  0.869822, Time  0.172271
2021-09-11 01:56:08.062835 : Epoch  1, Batch    701, Loss  0.637863, Average Loss  0.641121, Time  0.241625
2021-09-11 01:56:08.851038 : Epoch  3, Batch    577, Loss  0.901268, Average Loss  0.870083, Time  0.173601
2021-09-11 01:56:09.611964 : Epoch  1, Batch    702, Loss  0.643680, Average Loss  0.641136, Time  0.235188
2021-09-11 01:56:11.171215 : Epoch  1, Batch    703, Loss  0.642654, Average Loss  0.641143, Time  0.231296
2021-09-11 01:56:12.740043 : Epoch  1, Batch    704, Loss  0.642026, Average Loss  0.641153, Time  0.233360
2021-09-11 01:56:14.321048 : Epoch  1, Batch    705, Loss  0.650509, Average Loss  0.641228, Time  0.237282
2021-09-11 01:56:15.875851 : Epoch  1, Batch    706, Loss  0.645716, Average Loss  0.641229, Time  0.232871
2021-09-11 01:56:15.928041 : Epoch  3, Batch    578, Loss  0.866299, Average Loss  0.870078, Time  0.185259
2021-09-11 01:56:17.418284 : Epoch  1, Batch    707, Loss  0.637546, Average Loss  0.641216, Time  0.235659
2021-09-11 01:56:18.988858 : Epoch  1, Batch    708, Loss  0.633821, Average Loss  0.641159, Time  0.237036
2021-09-11 01:56:20.523020 : Epoch  1, Batch    709, Loss  0.640923, Average Loss  0.641162, Time  0.235191
2021-09-11 01:56:22.166476 : Epoch  1, Batch    710, Loss  0.641899, Average Loss  0.641215, Time  0.315980
2021-09-11 01:56:23.734973 : Epoch  1, Batch    711, Loss  0.642590, Average Loss  0.641224, Time  0.238638
2021-09-11 01:56:25.280391 : Epoch  1, Batch    712, Loss  0.640801, Average Loss  0.641214, Time  0.231561
2021-09-11 01:56:26.833047 : Epoch  1, Batch    713, Loss  0.636439, Average Loss  0.641186, Time  0.232807
2021-09-11 01:56:28.383931 : Epoch  1, Batch    714, Loss  0.637466, Average Loss  0.641153, Time  0.237050
2021-09-11 01:56:29.979910 : Epoch  1, Batch    715, Loss  0.644357, Average Loss  0.641180, Time  0.237495
2021-09-11 01:56:31.532087 : Epoch  1, Batch    716, Loss  0.642735, Average Loss  0.641150, Time  0.237707
2021-09-11 01:56:33.075067 : Epoch  1, Batch    717, Loss  0.632004, Average Loss  0.641114, Time  0.234745
2021-09-11 01:56:34.618222 : Epoch  1, Batch    718, Loss  0.644817, Average Loss  0.641141, Time  0.231842
2021-09-11 01:56:36.380504 : Epoch  1, Batch    719, Loss  0.635740, Average Loss  0.641139, Time  0.261434
2021-09-11 01:56:38.201094 : Epoch  1, Batch    720, Loss  0.641940, Average Loss  0.641156, Time  0.276581
2021-09-11 01:56:40.107499 : Epoch  1, Batch    721, Loss  0.640826, Average Loss  0.641133, Time  0.285403
2021-09-11 01:56:41.741045 : Epoch  1, Batch    722, Loss  0.634287, Average Loss  0.641125, Time  0.243475
2021-09-11 01:56:43.317752 : Epoch  1, Batch    723, Loss  0.630426, Average Loss  0.641087, Time  0.233525
2021-09-11 01:56:44.923686 : Epoch  1, Batch    724, Loss  0.646565, Average Loss  0.641086, Time  0.247636
2021-09-11 01:56:46.492920 : Epoch  1, Batch    725, Loss  0.652544, Average Loss  0.641102, Time  0.238580
2021-09-11 01:56:48.079123 : Epoch  1, Batch    726, Loss  0.642261, Average Loss  0.641105, Time  0.232227
2021-09-11 01:56:49.659953 : Epoch  1, Batch    727, Loss  0.631481, Average Loss  0.641077, Time  0.236261
2021-09-11 01:56:51.302946 : Epoch  1, Batch    728, Loss  0.640037, Average Loss  0.641064, Time  0.238108
2021-09-11 01:56:52.884406 : Epoch  1, Batch    729, Loss  0.634130, Average Loss  0.640960, Time  0.236301
2021-09-11 01:56:54.451550 : Epoch  1, Batch    730, Loss  0.637755, Average Loss  0.640986, Time  0.234238
2021-09-11 01:56:56.072215 : Epoch  1, Batch    731, Loss  0.633452, Average Loss  0.640975, Time  0.315273
2021-09-11 01:56:57.617880 : Epoch  1, Batch    732, Loss  0.632822, Average Loss  0.640908, Time  0.233991
2021-09-11 01:56:59.146846 : Epoch  1, Batch    733, Loss  0.636950, Average Loss  0.640823, Time  0.234875
2021-09-11 01:57:00.706927 : Epoch  1, Batch    734, Loss  0.641727, Average Loss  0.640788, Time  0.233702
2021-09-11 01:57:02.264939 : Epoch  1, Batch    735, Loss  0.637875, Average Loss  0.640795, Time  0.231764
2021-09-11 01:57:03.837402 : Epoch  1, Batch    736, Loss  0.628110, Average Loss  0.640756, Time  0.234919
2021-09-11 01:57:05.388857 : Epoch  1, Batch    737, Loss  0.636187, Average Loss  0.640686, Time  0.233083
2021-09-11 01:57:06.943149 : Epoch  1, Batch    738, Loss  0.627403, Average Loss  0.640659, Time  0.232133
2021-09-11 01:57:08.485921 : Epoch  1, Batch    739, Loss  0.633800, Average Loss  0.640588, Time  0.231606
2021-09-11 01:57:10.015913 : Epoch  1, Batch    740, Loss  0.636648, Average Loss  0.640582, Time  0.231694
2021-09-11 01:57:11.551831 : Epoch  1, Batch    741, Loss  0.645863, Average Loss  0.640604, Time  0.231821
2021-09-11 01:57:13.083089 : Epoch  1, Batch    742, Loss  0.645570, Average Loss  0.640579, Time  0.231512
2021-09-11 01:57:14.710896 : Epoch  1, Batch    743, Loss  0.644209, Average Loss  0.640556, Time  0.238914
2021-09-11 01:57:16.399926 : Epoch  1, Batch    744, Loss  0.628489, Average Loss  0.640560, Time  0.235454
2021-09-11 01:57:17.977832 : Epoch  1, Batch    745, Loss  0.643959, Average Loss  0.640554, Time  0.235926
2021-09-11 01:57:19.659128 : Epoch  1, Batch    746, Loss  0.635059, Average Loss  0.640519, Time  0.233676
2021-09-11 01:57:21.227834 : Epoch  1, Batch    747, Loss  0.634859, Average Loss  0.640500, Time  0.234156
2021-09-11 01:57:22.786416 : Epoch  1, Batch    748, Loss  0.640685, Average Loss  0.640480, Time  0.231033
2021-09-11 01:57:24.349010 : Epoch  1, Batch    749, Loss  0.642047, Average Loss  0.640514, Time  0.231603
2021-09-11 01:57:26.006922 : Epoch  1, Batch    750, Loss  0.637846, Average Loss  0.640477, Time  0.243812
2021-09-11 01:57:27.588590 : Epoch  1, Batch    751, Loss  0.638898, Average Loss  0.640480, Time  0.232852
2021-09-11 01:57:29.151054 : Epoch  1, Batch    752, Loss  0.629798, Average Loss  0.640423, Time  0.233797
2021-09-11 01:57:30.711426 : Epoch  1, Batch    753, Loss  0.637105, Average Loss  0.640420, Time  0.240590
2021-09-11 01:57:32.355165 : Epoch  1, Batch    754, Loss  0.639582, Average Loss  0.640382, Time  0.317970
2021-09-11 01:57:33.919822 : Epoch  1, Batch    755, Loss  0.630181, Average Loss  0.640305, Time  0.235827
2021-09-11 01:57:35.472421 : Epoch  1, Batch    756, Loss  0.633686, Average Loss  0.640242, Time  0.231920
2021-09-11 01:57:37.104454 : Epoch  1, Batch    757, Loss  0.640395, Average Loss  0.640248, Time  0.312915
2021-09-11 01:57:38.654101 : Epoch  1, Batch    758, Loss  0.642974, Average Loss  0.640233, Time  0.235605
2021-09-11 01:57:40.228983 : Epoch  1, Batch    759, Loss  0.625373, Average Loss  0.640148, Time  0.237481
2021-09-11 01:57:41.784824 : Epoch  1, Batch    760, Loss  0.631844, Average Loss  0.640103, Time  0.235883
2021-09-11 01:57:43.351070 : Epoch  1, Batch    761, Loss  0.634203, Average Loss  0.640130, Time  0.245390
2021-09-11 01:57:44.901826 : Epoch  1, Batch    762, Loss  0.631746, Average Loss  0.640095, Time  0.231623
2021-09-11 01:57:46.466818 : Epoch  1, Batch    763, Loss  0.644573, Average Loss  0.640123, Time  0.235167
2021-09-11 01:57:48.004873 : Epoch  1, Batch    764, Loss  0.627987, Average Loss  0.640051, Time  0.235645
2021-09-11 01:57:49.555877 : Epoch  1, Batch    765, Loss  0.633288, Average Loss  0.640031, Time  0.235640
2021-09-11 01:57:51.112401 : Epoch  1, Batch    766, Loss  0.631470, Average Loss  0.639968, Time  0.237244
2021-09-11 01:57:52.660971 : Epoch  1, Batch    767, Loss  0.626917, Average Loss  0.639925, Time  0.231606
2021-09-11 01:57:54.255853 : Epoch  1, Batch    768, Loss  0.628675, Average Loss  0.639886, Time  0.239186
2021-09-11 01:57:55.841129 : Epoch  1, Batch    769, Loss  0.640158, Average Loss  0.639893, Time  0.231911
2021-09-11 01:57:57.397094 : Epoch  1, Batch    770, Loss  0.643386, Average Loss  0.639947, Time  0.232261
2021-09-11 01:58:01.502381 : Epoch  1, Batch    771, Loss  0.622024, Average Loss  0.639796, Time  0.312964
2021-09-11 01:58:03.045379 : Epoch  1, Batch    772, Loss  0.640799, Average Loss  0.639781, Time  0.230906
2021-09-11 01:58:04.605401 : Epoch  1, Batch    773, Loss  0.633195, Average Loss  0.639789, Time  0.262442
2021-09-11 01:58:06.143435 : Epoch  1, Batch    774, Loss  0.629868, Average Loss  0.639743, Time  0.231247
2021-09-11 01:58:07.691882 : Epoch  1, Batch    775, Loss  0.627946, Average Loss  0.639712, Time  0.231259
2021-09-11 01:58:09.246409 : Epoch  1, Batch    776, Loss  0.637654, Average Loss  0.639679, Time  0.231972
2021-09-11 01:58:10.808854 : Epoch  1, Batch    777, Loss  0.632277, Average Loss  0.639646, Time  0.238147
2021-09-11 01:58:12.376427 : Epoch  1, Batch    778, Loss  0.636883, Average Loss  0.639557, Time  0.236006
2021-09-11 01:58:13.933840 : Epoch  1, Batch    779, Loss  0.637119, Average Loss  0.639573, Time  0.231342
2021-09-11 01:58:15.479421 : Epoch  1, Batch    780, Loss  0.624080, Average Loss  0.639488, Time  0.241825
2021-09-11 01:58:17.035022 : Epoch  1, Batch    781, Loss  0.628033, Average Loss  0.639455, Time  0.236886
2021-09-11 01:58:18.592903 : Epoch  1, Batch    782, Loss  0.630413, Average Loss  0.639387, Time  0.233710
2021-09-11 01:58:20.144383 : Epoch  1, Batch    783, Loss  0.635761, Average Loss  0.639382, Time  0.231114
2021-09-11 01:58:21.701403 : Epoch  1, Batch    784, Loss  0.632100, Average Loss  0.639333, Time  0.231502
2021-09-11 01:58:23.245908 : Epoch  1, Batch    785, Loss  0.629689, Average Loss  0.639287, Time  0.232354
2021-09-11 01:58:24.776700 : Epoch  1, Batch    786, Loss  0.627595, Average Loss  0.639213, Time  0.232035
2021-09-11 01:58:26.390415 : Epoch  1, Batch    787, Loss  0.642864, Average Loss  0.639162, Time  0.233224
2021-09-11 01:58:26.434580 : Saving Model after 1-th Epoch.
2021-09-11 01:58:27.385620 : Epoch Finished.
2021-09-11 01:58:29.810607 : Batch Shuffled
2021-09-11 01:58:31.341094 : Epoch  2, Batch      1, Loss  0.630132, Average Loss  0.639136, Time  0.231874
2021-09-11 01:58:32.875066 : Epoch  2, Batch      2, Loss  0.631896, Average Loss  0.639079, Time  0.231113
2021-09-11 01:58:34.451372 : Epoch  2, Batch      3, Loss  0.628005, Average Loss  0.638989, Time  0.237212
2021-09-11 01:58:36.010036 : Epoch  2, Batch      4, Loss  0.625743, Average Loss  0.638910, Time  0.235047
2021-09-11 01:58:37.560045 : Epoch  2, Batch      5, Loss  0.639735, Average Loss  0.638910, Time  0.231244
2021-09-11 01:58:39.107434 : Epoch  2, Batch      6, Loss  0.632026, Average Loss  0.638894, Time  0.231241
2021-09-11 01:58:40.661000 : Epoch  2, Batch      7, Loss  0.629005, Average Loss  0.638819, Time  0.232238
2021-09-11 01:58:42.234834 : Epoch  2, Batch      8, Loss  0.631637, Average Loss  0.638738, Time  0.231383
2021-09-11 01:58:43.787854 : Epoch  2, Batch      9, Loss  0.622963, Average Loss  0.638683, Time  0.231394
2021-09-11 01:58:45.338901 : Epoch  2, Batch     10, Loss  0.628534, Average Loss  0.638621, Time  0.237726
2021-09-11 01:58:46.909122 : Epoch  2, Batch     11, Loss  0.625113, Average Loss  0.638514, Time  0.231364
2021-09-11 01:58:48.464124 : Epoch  2, Batch     12, Loss  0.635422, Average Loss  0.638495, Time  0.231928
2021-09-11 01:58:48.983742 : CheckPoint: Validation Loss  0.00030990, Best Loss  0.00030990
2021-09-11 01:58:49.036559 : Best Model Updated
2021-09-11 01:58:50.013405 : Epoch  2, Batch     13, Loss  0.626908, Average Loss  0.638406, Time  0.231871
2021-09-11 01:58:52.726829 : Epoch  1, Batch    301, Loss  0.895660, Average Loss  1.043361, Time  0.245444
2021-09-11 01:58:55.385132 : Epoch  1, Batch    302, Loss  0.896927, Average Loss  1.040148, Time  0.243837
2021-09-11 01:58:58.067946 : Epoch  1, Batch    303, Loss  0.902147, Average Loss  1.037108, Time  0.285096
2021-09-11 01:59:00.753380 : Epoch  1, Batch    304, Loss  0.919468, Average Loss  1.034068, Time  0.318061
2021-09-11 01:59:03.463004 : Epoch  1, Batch    305, Loss  0.928857, Average Loss  1.031193, Time  0.318788
2021-09-11 01:59:06.176054 : Epoch  1, Batch    306, Loss  0.930721, Average Loss  1.028344, Time  0.321389
2021-09-11 01:59:08.903881 : Epoch  1, Batch    307, Loss  0.905374, Average Loss  1.025360, Time  0.320655
2021-09-11 01:59:11.632221 : Epoch  1, Batch    308, Loss  0.894916, Average Loss  1.022405, Time  0.318052
2021-09-11 01:59:14.345066 : Epoch  1, Batch    309, Loss  0.910329, Average Loss  1.019626, Time  0.319458
2021-09-11 01:59:17.058967 : Epoch  1, Batch    310, Loss  0.925551, Average Loss  1.017007, Time  0.317500
2021-09-11 01:59:19.744989 : Epoch  1, Batch    311, Loss  0.911666, Average Loss  1.014364, Time  0.318000
2021-09-11 01:59:22.507147 : Epoch  1, Batch    312, Loss  0.922735, Average Loss  1.011891, Time  0.304047
2021-09-11 01:59:25.222016 : Epoch  1, Batch    313, Loss  0.942135, Average Loss  1.009569, Time  0.267304
2021-09-11 01:59:27.929943 : Epoch  1, Batch    314, Loss  0.903313, Average Loss  1.007161, Time  0.241673
2021-09-11 01:59:30.586072 : Epoch  1, Batch    315, Loss  0.900054, Average Loss  1.004714, Time  0.245500
2021-09-11 01:59:33.227372 : Epoch  1, Batch    316, Loss  0.906209, Average Loss  1.002429, Time  0.253497
2021-09-11 01:59:35.914880 : Epoch  1, Batch    317, Loss  0.907156, Average Loss  1.000258, Time  0.283848
2021-09-11 01:59:38.640825 : Epoch  1, Batch    318, Loss  0.907966, Average Loss  0.998070, Time  0.318965
2021-09-11 01:59:41.358925 : Epoch  1, Batch    319, Loss  0.919873, Average Loss  0.995992, Time  0.321566
2021-09-11 01:59:44.018419 : Epoch  1, Batch    320, Loss  0.899250, Average Loss  0.994057, Time  0.241062
2021-09-11 01:59:46.663907 : Epoch  1, Batch    321, Loss  0.893684, Average Loss  0.992062, Time  0.245055
2021-09-11 01:59:48.566732 : CheckPoint: Validation Loss  0.00026854, Best Loss  0.00025998
2021-09-11 01:59:49.296951 : Epoch  1, Batch    322, Loss  0.899469, Average Loss  0.990191, Time  0.240815
2021-09-11 01:59:50.119885 : Epoch  2, Batch     14, Loss  0.629143, Average Loss  0.638376, Time  0.232055
2021-09-11 01:59:51.663416 : Epoch  2, Batch     15, Loss  0.628399, Average Loss  0.638301, Time  0.231009
2021-09-11 01:59:51.911382 : Epoch  1, Batch    323, Loss  0.899779, Average Loss  0.988363, Time  0.242396
2021-09-11 01:59:53.241352 : Epoch  2, Batch     16, Loss  0.622404, Average Loss  0.638196, Time  0.242104
2021-09-11 01:59:54.555787 : Epoch  1, Batch    324, Loss  0.907047, Average Loss  0.986366, Time  0.242391
2021-09-11 01:59:54.832847 : Epoch  2, Batch     17, Loss  0.627960, Average Loss  0.638147, Time  0.241225
2021-09-11 01:59:56.378047 : Epoch  2, Batch     18, Loss  0.635395, Average Loss  0.638142, Time  0.235258
2021-09-11 01:59:57.178441 : Epoch  1, Batch    325, Loss  0.927530, Average Loss  0.984754, Time  0.238016
2021-09-11 01:59:57.957180 : Epoch  2, Batch     19, Loss  0.634939, Average Loss  0.638153, Time  0.235092
2021-09-11 01:59:59.499985 : Epoch  2, Batch     20, Loss  0.624496, Average Loss  0.638074, Time  0.231358
2021-09-11 01:59:59.814240 : Epoch  1, Batch    326, Loss  0.924478, Average Loss  0.983174, Time  0.243547
2021-09-11 02:00:01.088068 : Epoch  2, Batch     21, Loss  0.622839, Average Loss  0.637969, Time  0.233600
2021-09-11 02:00:02.536792 : Epoch  1, Batch    327, Loss  0.925317, Average Loss  0.981592, Time  0.288846
2021-09-11 02:00:02.696952 : Epoch  2, Batch     22, Loss  0.632845, Average Loss  0.637989, Time  0.246424
2021-09-11 02:00:04.279441 : Epoch  2, Batch     23, Loss  0.641098, Average Loss  0.637964, Time  0.231032
2021-09-11 02:00:05.204071 : Epoch  1, Batch    328, Loss  0.897986, Average Loss  0.979851, Time  0.243707
2021-09-11 02:00:05.812397 : Epoch  2, Batch     24, Loss  0.637818, Average Loss  0.637948, Time  0.231404
2021-09-11 02:00:07.356827 : Epoch  2, Batch     25, Loss  0.628646, Average Loss  0.637892, Time  0.231421
2021-09-11 02:00:07.838869 : Epoch  1, Batch    329, Loss  0.897032, Average Loss  0.978321, Time  0.238166
2021-09-11 02:00:08.917399 : Epoch  2, Batch     26, Loss  0.620467, Average Loss  0.637774, Time  0.231912
2021-09-11 02:00:10.652943 : Epoch  1, Batch    330, Loss  0.906122, Average Loss  0.976873, Time  0.445995
2021-09-11 02:00:10.699470 : Epoch  2, Batch     27, Loss  0.624330, Average Loss  0.637739, Time  0.403969
2021-09-11 02:00:12.229037 : Epoch  2, Batch     28, Loss  0.618305, Average Loss  0.637625, Time  0.234030
2021-09-11 02:00:13.255602 : Epoch  1, Batch    331, Loss  0.925655, Average Loss  0.975608, Time  0.238429
2021-09-11 02:00:13.779007 : Epoch  2, Batch     29, Loss  0.634554, Average Loss  0.637606, Time  0.240361
2021-09-11 02:00:15.336865 : Epoch  2, Batch     30, Loss  0.630032, Average Loss  0.637550, Time  0.235727
2021-09-11 02:00:15.871036 : Epoch  1, Batch    332, Loss  0.908577, Average Loss  0.974192, Time  0.239019
2021-09-11 02:00:16.885837 : Epoch  2, Batch     31, Loss  0.626873, Average Loss  0.637481, Time  0.231120
2021-09-11 02:00:18.655015 : Epoch  1, Batch    333, Loss  0.895254, Average Loss  0.972683, Time  0.412930
2021-09-11 02:00:18.691460 : Epoch  2, Batch     32, Loss  0.628945, Average Loss  0.637437, Time  0.447476
2021-09-11 02:00:20.235005 : Epoch  2, Batch     33, Loss  0.623578, Average Loss  0.637354, Time  0.231433
2021-09-11 02:00:21.266912 : Epoch  1, Batch    334, Loss  0.926202, Average Loss  0.971493, Time  0.239028
2021-09-11 02:00:21.783398 : Epoch  2, Batch     34, Loss  0.619376, Average Loss  0.637193, Time  0.230870
2021-09-11 02:00:23.334073 : Epoch  2, Batch     35, Loss  0.638348, Average Loss  0.637174, Time  0.231821
2021-09-11 02:00:23.887837 : Epoch  1, Batch    335, Loss  0.906898, Average Loss  0.970259, Time  0.238584
2021-09-11 02:00:24.891443 : Epoch  2, Batch     36, Loss  0.633932, Average Loss  0.637107, Time  0.231350
2021-09-11 02:00:26.630927 : Epoch  2, Batch     37, Loss  0.635296, Average Loss  0.637087, Time  0.436450
2021-09-11 02:00:26.679882 : Epoch  1, Batch    336, Loss  0.907401, Average Loss  0.968817, Time  0.388009
2021-09-11 02:00:28.180010 : Epoch  2, Batch     38, Loss  0.620447, Average Loss  0.637001, Time  0.238251
2021-09-11 02:00:29.293887 : Epoch  1, Batch    337, Loss  0.904091, Average Loss  0.967525, Time  0.239286
2021-09-11 02:00:29.725370 : Epoch  2, Batch     39, Loss  0.631023, Average Loss  0.636930, Time  0.233516
2021-09-11 02:00:31.296924 : Epoch  2, Batch     40, Loss  0.637663, Average Loss  0.636949, Time  0.231346
2021-09-11 02:00:31.918175 : Epoch  1, Batch    338, Loss  0.885745, Average Loss  0.966216, Time  0.238380
2021-09-11 02:00:32.851069 : Epoch  2, Batch     41, Loss  0.615627, Average Loss  0.636799, Time  0.232334
2021-09-11 02:00:34.559514 : Epoch  2, Batch     42, Loss  0.611331, Average Loss  0.636682, Time  0.387843
2021-09-11 02:00:34.625963 : Epoch  1, Batch    339, Loss  0.894852, Average Loss  0.964982, Time  0.329547
2021-09-11 02:00:36.105847 : Epoch  2, Batch     43, Loss  0.624680, Average Loss  0.636578, Time  0.231752
2021-09-11 02:00:37.247922 : Epoch  1, Batch    340, Loss  0.887157, Average Loss  0.963789, Time  0.238002
2021-09-11 02:00:37.666102 : Epoch  2, Batch     44, Loss  0.630095, Average Loss  0.636569, Time  0.237204
2021-09-11 02:00:39.208825 : Epoch  2, Batch     45, Loss  0.629574, Average Loss  0.636505, Time  0.234354
2021-09-11 02:00:39.897427 : Epoch  1, Batch    341, Loss  0.919068, Average Loss  0.962808, Time  0.237555
2021-09-11 02:00:40.753007 : Epoch  2, Batch     46, Loss  0.630353, Average Loss  0.636450, Time  0.231736
2021-09-11 02:00:42.311214 : Epoch  2, Batch     47, Loss  0.616870, Average Loss  0.636279, Time  0.251475
2021-09-11 02:00:42.537021 : Epoch  1, Batch    342, Loss  0.902015, Average Loss  0.961768, Time  0.244259
2021-09-11 02:00:43.851934 : Epoch  2, Batch     48, Loss  0.636760, Average Loss  0.636270, Time  0.231375
2021-09-11 02:00:45.140969 : Epoch  1, Batch    343, Loss  0.902590, Average Loss  0.960683, Time  0.238732
2021-09-11 02:00:45.401924 : Epoch  2, Batch     49, Loss  0.630231, Average Loss  0.636241, Time  0.234086
2021-09-11 02:00:46.948030 : Epoch  2, Batch     50, Loss  0.623178, Average Loss  0.636155, Time  0.237987
2021-09-11 02:00:47.778908 : Epoch  1, Batch    344, Loss  0.895196, Average Loss  0.959624, Time  0.241993
2021-09-11 02:00:48.491031 : Epoch  2, Batch     51, Loss  0.629577, Average Loss  0.636061, Time  0.233139
2021-09-11 02:00:50.054045 : Epoch  2, Batch     52, Loss  0.634439, Average Loss  0.636085, Time  0.238006
2021-09-11 02:00:50.412859 : Epoch  1, Batch    345, Loss  0.908298, Average Loss  0.958565, Time  0.249766
2021-09-11 02:00:51.611019 : Epoch  2, Batch     53, Loss  0.607473, Average Loss  0.635932, Time  0.231925
2021-09-11 02:00:53.230444 : Epoch  1, Batch    346, Loss  0.878096, Average Loss  0.957386, Time  0.407576
2021-09-11 02:00:53.277396 : Epoch  2, Batch     54, Loss  0.621433, Average Loss  0.635785, Time  0.344966
2021-09-11 02:00:54.799987 : Epoch  2, Batch     55, Loss  0.617915, Average Loss  0.635700, Time  0.231053
2021-09-11 02:00:55.880382 : Epoch  1, Batch    347, Loss  0.890684, Average Loss  0.956331, Time  0.243379
2021-09-11 02:00:56.357383 : Epoch  2, Batch     56, Loss  0.613498, Average Loss  0.635562, Time  0.231323
2021-09-11 02:00:57.544716 : CheckPoint: Validation Loss  0.00060591, Best Loss  0.00057296
2021-09-11 02:00:57.904114 : Epoch  2, Batch     57, Loss  0.624790, Average Loss  0.635459, Time  0.231203
2021-09-11 02:00:58.512943 : Epoch  1, Batch    348, Loss  0.890238, Average Loss  0.955191, Time  0.242584
2021-09-11 02:00:59.176934 : Epoch  3, Batch    579, Loss  0.839250, Average Loss  0.869951, Time  0.178012
2021-09-11 02:00:59.445915 : Epoch  2, Batch     58, Loss  0.633446, Average Loss  0.635480, Time  0.234757
2021-09-11 02:01:00.801747 : Epoch  3, Batch    580, Loss  0.877982, Average Loss  0.869922, Time  0.171079
2021-09-11 02:01:01.157026 : Epoch  2, Batch     59, Loss  0.621803, Average Loss  0.635366, Time  0.384393
2021-09-11 02:01:01.225802 : Epoch  1, Batch    349, Loss  0.902407, Average Loss  0.954192, Time  0.325395
2021-09-11 02:01:02.418950 : Epoch  3, Batch    581, Loss  0.882236, Average Loss  0.870063, Time  0.172990
2021-09-11 02:01:02.718061 : Epoch  2, Batch     60, Loss  0.631276, Average Loss  0.635355, Time  0.245120
2021-09-11 02:01:03.821061 : Epoch  1, Batch    350, Loss  0.896911, Average Loss  0.953168, Time  0.248234
2021-09-11 02:01:04.021033 : Epoch  3, Batch    582, Loss  0.868531, Average Loss  0.870057, Time  0.173751
2021-09-11 02:01:04.320893 : Epoch  2, Batch     61, Loss  0.634691, Average Loss  0.635337, Time  0.235170
2021-09-11 02:01:05.641013 : Epoch  3, Batch    583, Loss  0.892623, Average Loss  0.870253, Time  0.170922
2021-09-11 02:01:05.873826 : Epoch  2, Batch     62, Loss  0.618330, Average Loss  0.635179, Time  0.234685
2021-09-11 02:01:06.443244 : Epoch  1, Batch    351, Loss  0.891198, Average Loss  0.952013, Time  0.244019
2021-09-11 02:01:07.272841 : Epoch  3, Batch    584, Loss  0.881117, Average Loss  0.870299, Time  0.175556
2021-09-11 02:01:07.440998 : Epoch  2, Batch     63, Loss  0.616701, Average Loss  0.635042, Time  0.231442
2021-09-11 02:01:08.891020 : Epoch  3, Batch    585, Loss  0.865422, Average Loss  0.870308, Time  0.173638
2021-09-11 02:01:09.274414 : Epoch  1, Batch    352, Loss  0.904931, Average Loss  0.951202, Time  0.409727
2021-09-11 02:01:09.324204 : Epoch  2, Batch     64, Loss  0.622903, Average Loss  0.634951, Time  0.454346
2021-09-11 02:01:10.509034 : Epoch  3, Batch    586, Loss  0.878139, Average Loss  0.870483, Time  0.170303
2021-09-11 02:01:10.885030 : Epoch  2, Batch     65, Loss  0.625761, Average Loss  0.634827, Time  0.231373
2021-09-11 02:01:11.907068 : Epoch  1, Batch    353, Loss  0.901115, Average Loss  0.950244, Time  0.239438
2021-09-11 02:01:12.139028 : Epoch  3, Batch    587, Loss  0.850667, Average Loss  0.870396, Time  0.172287
2021-09-11 02:01:12.462075 : Epoch  2, Batch     66, Loss  0.621983, Average Loss  0.634730, Time  0.234783
2021-09-11 02:01:13.769032 : Epoch  3, Batch    588, Loss  0.840846, Average Loss  0.870427, Time  0.177153
2021-09-11 02:01:14.025011 : Epoch  2, Batch     67, Loss  0.627877, Average Loss  0.634676, Time  0.231825
2021-09-11 02:01:14.555011 : Epoch  1, Batch    354, Loss  0.904254, Average Loss  0.949357, Time  0.243079
2021-09-11 02:01:15.399024 : Epoch  3, Batch    589, Loss  0.848531, Average Loss  0.870228, Time  0.170025
2021-09-11 02:01:15.589002 : Epoch  2, Batch     68, Loss  0.614734, Average Loss  0.634547, Time  0.231766
2021-09-11 02:01:17.006035 : Epoch  3, Batch    590, Loss  0.858294, Average Loss  0.870128, Time  0.170041
2021-09-11 02:01:17.345406 : Epoch  2, Batch     69, Loss  0.638594, Average Loss  0.634571, Time  0.444259
2021-09-11 02:01:17.394069 : Epoch  1, Batch    355, Loss  0.907039, Average Loss  0.948586, Time  0.413878
2021-09-11 02:01:18.625028 : Epoch  3, Batch    591, Loss  0.899659, Average Loss  0.870362, Time  0.169971
2021-09-11 02:01:18.905403 : Epoch  2, Batch     70, Loss  0.620460, Average Loss  0.634469, Time  0.235922
2021-09-11 02:01:20.003016 : Epoch  1, Batch    356, Loss  0.925526, Average Loss  0.947687, Time  0.239176
2021-09-11 02:01:20.249758 : Epoch  3, Batch    592, Loss  0.863960, Average Loss  0.870322, Time  0.172244
2021-09-11 02:01:20.462061 : Epoch  2, Batch     71, Loss  0.623400, Average Loss  0.634336, Time  0.234602
2021-09-11 02:01:21.858026 : Epoch  3, Batch    593, Loss  0.890010, Average Loss  0.870538, Time  0.176993
2021-09-11 02:01:22.036411 : Epoch  2, Batch     72, Loss  0.624352, Average Loss  0.634226, Time  0.234343
2021-09-11 02:01:22.638007 : Epoch  1, Batch    357, Loss  0.919802, Average Loss  0.946984, Time  0.242239
2021-09-11 02:01:23.484033 : Epoch  3, Batch    594, Loss  0.854912, Average Loss  0.870443, Time  0.171282
2021-09-11 02:01:23.593352 : Epoch  2, Batch     73, Loss  0.626980, Average Loss  0.634138, Time  0.233947
2021-09-11 02:01:25.081047 : Epoch  3, Batch    595, Loss  0.841032, Average Loss  0.870256, Time  0.169785
2021-09-11 02:01:25.325446 : Epoch  2, Batch     74, Loss  0.628652, Average Loss  0.634062, Time  0.411185
2021-09-11 02:01:25.382453 : Epoch  1, Batch    358, Loss  0.911748, Average Loss  0.946226, Time  0.356032
2021-09-11 02:01:26.685698 : Epoch  3, Batch    596, Loss  0.895265, Average Loss  0.870283, Time  0.170064
2021-09-11 02:01:26.903042 : Epoch  2, Batch     75, Loss  0.619168, Average Loss  0.633952, Time  0.238231
2021-09-11 02:01:28.032976 : Epoch  1, Batch    359, Loss  0.906326, Average Loss  0.945441, Time  0.238544
2021-09-11 02:01:28.299740 : Epoch  3, Batch    597, Loss  0.848082, Average Loss  0.870204, Time  0.172442
2021-09-11 02:01:28.468425 : Epoch  2, Batch     76, Loss  0.622412, Average Loss  0.633839, Time  0.236056
2021-09-11 02:01:29.914032 : Epoch  3, Batch    598, Loss  0.839062, Average Loss  0.869948, Time  0.169856
2021-09-11 02:01:30.027078 : Epoch  2, Batch     77, Loss  0.623908, Average Loss  0.633771, Time  0.232907
2021-09-11 02:01:30.688900 : Epoch  1, Batch    360, Loss  0.920119, Average Loss  0.944770, Time  0.241365
2021-09-11 02:01:31.548039 : Epoch  3, Batch    599, Loss  0.854836, Average Loss  0.869804, Time  0.180700
2021-09-11 02:01:31.569860 : Epoch  2, Batch     78, Loss  0.614351, Average Loss  0.633653, Time  0.231989
2021-09-11 02:01:33.203816 : Epoch  3, Batch    600, Loss  0.899788, Average Loss  0.869897, Time  0.176080
2021-09-11 02:01:33.231382 : Epoch  2, Batch     79, Loss  0.618164, Average Loss  0.633497, Time  0.322038
2021-09-11 02:01:33.366793 : Epoch  1, Batch    361, Loss  0.900258, Average Loss  0.944155, Time  0.286148
2021-09-11 02:01:34.792970 : Epoch  2, Batch     80, Loss  0.622343, Average Loss  0.633407, Time  0.235108
2021-09-11 02:01:34.823025 : Epoch  3, Batch    601, Loss  0.876094, Average Loss  0.869912, Time  0.174840
2021-09-11 02:01:36.018289 : Epoch  1, Batch    362, Loss  0.883550, Average Loss  0.943405, Time  0.244236
2021-09-11 02:01:36.363140 : Epoch  2, Batch     81, Loss  0.634985, Average Loss  0.633333, Time  0.237059
2021-09-11 02:01:36.468794 : Epoch  3, Batch    602, Loss  0.873560, Average Loss  0.869952, Time  0.186591
2021-09-11 02:01:37.930970 : Epoch  2, Batch     82, Loss  0.622520, Average Loss  0.633210, Time  0.234489
2021-09-11 02:01:38.119870 : Epoch  3, Batch    603, Loss  0.895921, Average Loss  0.870189, Time  0.171640
2021-09-11 02:01:38.712904 : Epoch  1, Batch    363, Loss  0.899712, Average Loss  0.942774, Time  0.249156
2021-09-11 02:01:39.526475 : Epoch  2, Batch     83, Loss  0.630324, Average Loss  0.633117, Time  0.238180
2021-09-11 02:01:39.737836 : Epoch  3, Batch    604, Loss  0.859386, Average Loss  0.870187, Time  0.171322
2021-09-11 02:01:41.356028 : Epoch  3, Batch    605, Loss  0.850029, Average Loss  0.870217, Time  0.169726
2021-09-11 02:01:41.388407 : Epoch  1, Batch    364, Loss  0.908074, Average Loss  0.942031, Time  0.241071
2021-09-11 02:01:42.969856 : Epoch  3, Batch    606, Loss  0.916560, Average Loss  0.870375, Time  0.176329
2021-09-11 02:01:43.664432 : Epoch  2, Batch     84, Loss  0.623769, Average Loss  0.633064, Time  0.237520
2021-09-11 02:01:44.070222 : Epoch  1, Batch    365, Loss  0.885021, Average Loss  0.941199, Time  0.242791
2021-09-11 02:01:44.572798 : Epoch  3, Batch    607, Loss  0.842235, Average Loss  0.870438, Time  0.170787
2021-09-11 02:01:45.236400 : Epoch  2, Batch     85, Loss  0.623873, Average Loss  0.632971, Time  0.237985
2021-09-11 02:01:46.234037 : Epoch  3, Batch    608, Loss  0.878363, Average Loss  0.870496, Time  0.173287
2021-09-11 02:01:46.882410 : Epoch  1, Batch    366, Loss  0.876470, Average Loss  0.940455, Time  0.414626
2021-09-11 02:01:46.931462 : Epoch  2, Batch     86, Loss  0.640390, Average Loss  0.632948, Time  0.346014
2021-09-11 02:01:47.852927 : Epoch  3, Batch    609, Loss  0.863126, Average Loss  0.870425, Time  0.177206
2021-09-11 02:01:48.474069 : Epoch  2, Batch     87, Loss  0.625546, Average Loss  0.632870, Time  0.230750
2021-09-11 02:01:49.482842 : Epoch  3, Batch    610, Loss  0.889110, Average Loss  0.870542, Time  0.170259
2021-09-11 02:01:49.509703 : Epoch  1, Batch    367, Loss  0.921301, Average Loss  0.939864, Time  0.238644
2021-09-11 02:01:50.010377 : Epoch  2, Batch     88, Loss  0.632952, Average Loss  0.632788, Time  0.241403
2021-09-11 02:01:51.087046 : Epoch  3, Batch    611, Loss  0.829467, Average Loss  0.870304, Time  0.175553
2021-09-11 02:01:51.554383 : Epoch  2, Batch     89, Loss  0.634387, Average Loss  0.632753, Time  0.230981
2021-09-11 02:01:52.136825 : Epoch  1, Batch    368, Loss  0.900795, Average Loss  0.939184, Time  0.238038
2021-09-11 02:01:52.706793 : Epoch  3, Batch    612, Loss  0.871871, Average Loss  0.870308, Time  0.169917
2021-09-11 02:01:53.087023 : Epoch  2, Batch     90, Loss  0.624494, Average Loss  0.632685, Time  0.231225
2021-09-11 02:01:54.338029 : Epoch  3, Batch    613, Loss  0.863909, Average Loss  0.870244, Time  0.171054
2021-09-11 02:01:54.770117 : Epoch  2, Batch     91, Loss  0.614751, Average Loss  0.632545, Time  0.377949
2021-09-11 02:01:54.843995 : Epoch  1, Batch    369, Loss  0.904203, Average Loss  0.938588, Time  0.321340
2021-09-11 02:01:55.975849 : Epoch  3, Batch    614, Loss  0.906725, Average Loss  0.870542, Time  0.169907
2021-09-11 02:01:56.291972 : Epoch  2, Batch     92, Loss  0.616342, Average Loss  0.632435, Time  0.233027
2021-09-11 02:01:57.456589 : Epoch  1, Batch    370, Loss  0.896366, Average Loss  0.938094, Time  0.237725
2021-09-11 02:01:57.652035 : Epoch  3, Batch    615, Loss  0.872194, Average Loss  0.870478, Time  0.171947
2021-09-11 02:01:57.828427 : Epoch  2, Batch     93, Loss  0.628600, Average Loss  0.632346, Time  0.234107
2021-09-11 02:01:59.262741 : Epoch  3, Batch    616, Loss  0.871258, Average Loss  0.870373, Time  0.170702
2021-09-11 02:01:59.359039 : Epoch  2, Batch     94, Loss  0.636130, Average Loss  0.632345, Time  0.231555
2021-09-11 02:02:00.094067 : Epoch  1, Batch    371, Loss  0.906167, Average Loss  0.937423, Time  0.238871
2021-09-11 02:02:00.888019 : Epoch  3, Batch    617, Loss  0.873069, Average Loss  0.870339, Time  0.170147
2021-09-11 02:02:00.905194 : Epoch  2, Batch     95, Loss  0.619859, Average Loss  0.632276, Time  0.231214
2021-09-11 02:02:02.457439 : Epoch  2, Batch     96, Loss  0.627921, Average Loss  0.632197, Time  0.232597
2021-09-11 02:02:02.508753 : Epoch  3, Batch    618, Loss  0.868615, Average Loss  0.870287, Time  0.175312
2021-09-11 02:02:02.718853 : Epoch  1, Batch    372, Loss  0.905098, Average Loss  0.936887, Time  0.237990
2021-09-11 02:02:04.002391 : Epoch  2, Batch     97, Loss  0.622097, Average Loss  0.632112, Time  0.235925
2021-09-11 02:02:04.130046 : Epoch  3, Batch    619, Loss  0.892810, Average Loss  0.870441, Time  0.178456
2021-09-11 02:02:05.432862 : Epoch  1, Batch    373, Loss  0.905768, Average Loss  0.936307, Time  0.323023
2021-09-11 02:02:05.566102 : Epoch  2, Batch     98, Loss  0.629790, Average Loss  0.632034, Time  0.270042
2021-09-11 02:02:05.761030 : Epoch  3, Batch    620, Loss  0.869359, Average Loss  0.870365, Time  0.172112
2021-09-11 02:02:07.106391 : Epoch  2, Batch     99, Loss  0.619863, Average Loss  0.631906, Time  0.232482
2021-09-11 02:02:07.379895 : Epoch  3, Batch    621, Loss  0.907305, Average Loss  0.870670, Time  0.171084
2021-09-11 02:02:08.104867 : Epoch  1, Batch    374, Loss  0.913948, Average Loss  0.935778, Time  0.241035
2021-09-11 02:02:08.642891 : Epoch  2, Batch    100, Loss  0.622559, Average Loss  0.631854, Time  0.235160
2021-09-11 02:02:08.978956 : Epoch  3, Batch    622, Loss  0.854482, Average Loss  0.870665, Time  0.170120
2021-09-11 02:02:10.182379 : Epoch  2, Batch    101, Loss  0.631270, Average Loss  0.631811, Time  0.233173
2021-09-11 02:02:10.619808 : Epoch  3, Batch    623, Loss  0.864753, Average Loss  0.870610, Time  0.176803
2021-09-11 02:02:10.740991 : Epoch  1, Batch    375, Loss  0.913348, Average Loss  0.935377, Time  0.238074
2021-09-11 02:02:11.777463 : Epoch  2, Batch    102, Loss  0.633527, Average Loss  0.631769, Time  0.233010
2021-09-11 02:02:12.242038 : Epoch  3, Batch    624, Loss  0.884382, Average Loss  0.870722, Time  0.174338
2021-09-11 02:02:13.540861 : Epoch  1, Batch    376, Loss  0.908818, Average Loss  0.934804, Time  0.417249
2021-09-11 02:02:13.588457 : Epoch  2, Batch    103, Loss  0.618635, Average Loss  0.631656, Time  0.449459
2021-09-11 02:02:13.850899 : Epoch  3, Batch    625, Loss  0.857480, Average Loss  0.870579, Time  0.173956
2021-09-11 02:02:15.128374 : Epoch  2, Batch    104, Loss  0.638158, Average Loss  0.631641, Time  0.236533
2021-09-11 02:02:15.438774 : Epoch  3, Batch    626, Loss  0.877786, Average Loss  0.870548, Time  0.170253
2021-09-11 02:02:16.177854 : Epoch  1, Batch    377, Loss  0.893864, Average Loss  0.934138, Time  0.238434
2021-09-11 02:02:16.674389 : Epoch  2, Batch    105, Loss  0.625096, Average Loss  0.631587, Time  0.236087
2021-09-11 02:02:17.051031 : Epoch  3, Batch    627, Loss  0.863548, Average Loss  0.870544, Time  0.173021
2021-09-11 02:02:18.237405 : Epoch  2, Batch    106, Loss  0.611971, Average Loss  0.631385, Time  0.235199
2021-09-11 02:02:18.652686 : Epoch  3, Batch    628, Loss  0.885167, Average Loss  0.870714, Time  0.170432
2021-09-11 02:02:18.796028 : Epoch  1, Batch    378, Loss  0.899835, Average Loss  0.933703, Time  0.240328
2021-09-11 02:02:19.792857 : Epoch  2, Batch    107, Loss  0.620464, Average Loss  0.631323, Time  0.234797
2021-09-11 02:02:20.253837 : Epoch  3, Batch    629, Loss  0.892829, Average Loss  0.870811, Time  0.171562
2021-09-11 02:02:21.511074 : Epoch  2, Batch    108, Loss  0.621418, Average Loss  0.631234, Time  0.401583
2021-09-11 02:02:21.576119 : Epoch  1, Batch    379, Loss  0.889308, Average Loss  0.933096, Time  0.362103
2021-09-11 02:02:21.879034 : Epoch  3, Batch    630, Loss  0.851089, Average Loss  0.870538, Time  0.180069
2021-09-11 02:02:23.041926 : Epoch  2, Batch    109, Loss  0.614838, Average Loss  0.631184, Time  0.231515
2021-09-11 02:02:23.494025 : Epoch  3, Batch    631, Loss  0.855576, Average Loss  0.870452, Time  0.175151
2021-09-11 02:02:24.197066 : Epoch  1, Batch    380, Loss  0.903692, Average Loss  0.932536, Time  0.241435
2021-09-11 02:02:24.605846 : Epoch  2, Batch    110, Loss  0.627663, Average Loss  0.631116, Time  0.231953
2021-09-11 02:02:25.133032 : Epoch  3, Batch    632, Loss  0.890646, Average Loss  0.870517, Time  0.178589
2021-09-11 02:02:26.133386 : Epoch  2, Batch    111, Loss  0.635497, Average Loss  0.631076, Time  0.231483
2021-09-11 02:02:26.750032 : Epoch  3, Batch    633, Loss  0.890969, Average Loss  0.870521, Time  0.172778
2021-09-11 02:02:26.853900 : Epoch  1, Batch    381, Loss  0.904336, Average Loss  0.932072, Time  0.244340
2021-09-11 02:02:27.687981 : Epoch  2, Batch    112, Loss  0.617895, Average Loss  0.630946, Time  0.232688
2021-09-11 02:02:28.369801 : Epoch  3, Batch    634, Loss  0.847935, Average Loss  0.870391, Time  0.170150
2021-09-11 02:02:29.257497 : Epoch  2, Batch    113, Loss  0.621001, Average Loss  0.630825, Time  0.232989
2021-09-11 02:02:29.469961 : Epoch  1, Batch    382, Loss  0.888334, Average Loss  0.931438, Time  0.244938
2021-09-11 02:02:30.005025 : Epoch  3, Batch    635, Loss  0.849014, Average Loss  0.870242, Time  0.172710
2021-09-11 02:02:31.604821 : Epoch  3, Batch    636, Loss  0.883315, Average Loss  0.870401, Time  0.175253
2021-09-11 02:02:32.077051 : Epoch  1, Batch    383, Loss  0.895230, Average Loss  0.931040, Time  0.238136
2021-09-11 02:02:33.222025 : Epoch  3, Batch    637, Loss  0.901897, Average Loss  0.870453, Time  0.173820
2021-09-11 02:02:34.699811 : Epoch  1, Batch    384, Loss  0.876579, Average Loss  0.930497, Time  0.238441
2021-09-11 02:02:34.834317 : Epoch  3, Batch    638, Loss  0.873457, Average Loss  0.870503, Time  0.177543
2021-09-11 02:02:36.485037 : Epoch  3, Batch    639, Loss  0.876603, Average Loss  0.870698, Time  0.175703
2021-09-11 02:02:37.312920 : Epoch  1, Batch    385, Loss  0.896701, Average Loss  0.930034, Time  0.237928
2021-09-11 02:02:38.100031 : Epoch  3, Batch    640, Loss  0.851133, Average Loss  0.870608, Time  0.169909
2021-09-11 02:02:39.722036 : Epoch  3, Batch    641, Loss  0.855346, Average Loss  0.870449, Time  0.169916
2021-09-11 02:02:39.941412 : Epoch  1, Batch    386, Loss  0.917087, Average Loss  0.929470, Time  0.237929
2021-09-11 02:02:41.334749 : Epoch  3, Batch    642, Loss  0.864145, Average Loss  0.870478, Time  0.173777
2021-09-11 02:02:42.556909 : Epoch  1, Batch    387, Loss  0.901010, Average Loss  0.929007, Time  0.238664
2021-09-11 02:02:42.928037 : Epoch  3, Batch    643, Loss  0.861712, Average Loss  0.870345, Time  0.171207
2021-09-11 02:02:44.540879 : Epoch  3, Batch    644, Loss  0.875620, Average Loss  0.870480, Time  0.173951
2021-09-11 02:02:45.176970 : Epoch  1, Batch    388, Loss  0.905622, Average Loss  0.928590, Time  0.245573
2021-09-11 02:02:46.140835 : Epoch  3, Batch    645, Loss  0.864951, Average Loss  0.870500, Time  0.172734
2021-09-11 02:02:47.746849 : Epoch  3, Batch    646, Loss  0.901066, Average Loss  0.870552, Time  0.170784
2021-09-11 02:02:47.819048 : Epoch  1, Batch    389, Loss  0.881504, Average Loss  0.928092, Time  0.251148
2021-09-11 02:02:49.363026 : Epoch  3, Batch    647, Loss  0.867760, Average Loss  0.870453, Time  0.171586
2021-09-11 02:02:50.446811 : Epoch  1, Batch    390, Loss  0.882280, Average Loss  0.927516, Time  0.261673
2021-09-11 02:02:50.967797 : Epoch  3, Batch    648, Loss  0.855538, Average Loss  0.870367, Time  0.174653
2021-09-11 02:02:52.587003 : Epoch  3, Batch    649, Loss  0.874797, Average Loss  0.870347, Time  0.170274
2021-09-11 02:02:53.103925 : Epoch  1, Batch    391, Loss  0.875487, Average Loss  0.926988, Time  0.284076
2021-09-11 02:02:54.223818 : Epoch  3, Batch    650, Loss  0.861823, Average Loss  0.870403, Time  0.170057
2021-09-11 02:02:55.781438 : Epoch  1, Batch    392, Loss  0.892708, Average Loss  0.926496, Time  0.285222
2021-09-11 02:02:55.866986 : Epoch  3, Batch    651, Loss  0.841447, Average Loss  0.870325, Time  0.170446
2021-09-11 02:02:57.496778 : Epoch  3, Batch    652, Loss  0.845925, Average Loss  0.870229, Time  0.170133
2021-09-11 02:02:58.435862 : Epoch  1, Batch    393, Loss  0.901184, Average Loss  0.926015, Time  0.268174
2021-09-11 02:02:59.174007 : Epoch  3, Batch    653, Loss  0.862463, Average Loss  0.870254, Time  0.172196
2021-09-11 02:03:00.803851 : Epoch  3, Batch    654, Loss  0.858458, Average Loss  0.870257, Time  0.169708
2021-09-11 02:03:01.129016 : Epoch  1, Batch    394, Loss  0.907066, Average Loss  0.925568, Time  0.288101
2021-09-11 02:03:02.432752 : Epoch  3, Batch    655, Loss  0.877574, Average Loss  0.870211, Time  0.170117
2021-09-11 02:03:03.806951 : Epoch  1, Batch    395, Loss  0.871430, Average Loss  0.924949, Time  0.248955
2021-09-11 02:03:04.057999 : Epoch  3, Batch    656, Loss  0.865752, Average Loss  0.870067, Time  0.169794
2021-09-11 02:03:05.690044 : Epoch  3, Batch    657, Loss  0.853619, Average Loss  0.869925, Time  0.174711
2021-09-11 02:03:06.469089 : Epoch  1, Batch    396, Loss  0.892096, Average Loss  0.924507, Time  0.286313
2021-09-11 02:03:07.327787 : Epoch  3, Batch    658, Loss  0.882003, Average Loss  0.870058, Time  0.184485
2021-09-11 02:03:08.954028 : Epoch  3, Batch    659, Loss  0.859140, Average Loss  0.869739, Time  0.174947
2021-09-11 02:03:09.170002 : Epoch  1, Batch    397, Loss  0.892018, Average Loss  0.924114, Time  0.310481
2021-09-11 02:03:10.571895 : Epoch  3, Batch    660, Loss  0.828210, Average Loss  0.869674, Time  0.180852
2021-09-11 02:03:11.883130 : Epoch  1, Batch    398, Loss  0.864717, Average Loss  0.923499, Time  0.321554
2021-09-11 02:03:12.187039 : Epoch  3, Batch    661, Loss  0.894868, Average Loss  0.869771, Time  0.172308
2021-09-11 02:03:13.838027 : Epoch  3, Batch    662, Loss  0.899843, Average Loss  0.869996, Time  0.172964
2021-09-11 02:03:14.644884 : Epoch  1, Batch    399, Loss  0.897270, Average Loss  0.923107, Time  0.321332
2021-09-11 02:03:15.475027 : Epoch  3, Batch    663, Loss  0.879567, Average Loss  0.869964, Time  0.170106
2021-09-11 02:03:17.103030 : Epoch  3, Batch    664, Loss  0.856252, Average Loss  0.869934, Time  0.174594
2021-09-11 02:03:17.345887 : Epoch  1, Batch    400, Loss  0.902265, Average Loss  0.922669, Time  0.318089
2021-09-11 02:03:18.732031 : Epoch  3, Batch    665, Loss  0.856959, Average Loss  0.869954, Time  0.169698
2021-09-11 02:03:20.345875 : Epoch  3, Batch    666, Loss  0.894473, Average Loss  0.869957, Time  0.172176
2021-09-11 02:03:21.994837 : Epoch  3, Batch    667, Loss  0.846807, Average Loss  0.870018, Time  0.170291
2021-09-11 02:03:23.638035 : Epoch  3, Batch    668, Loss  0.881682, Average Loss  0.869997, Time  0.174239
2021-09-11 02:03:25.263031 : Epoch  3, Batch    669, Loss  0.892356, Average Loss  0.870077, Time  0.177055
2021-09-11 02:03:26.888034 : Epoch  3, Batch    670, Loss  0.831892, Average Loss  0.870067, Time  0.178227
2021-09-11 02:03:26.917748 : CheckPoint: Validation Loss  0.00027203, Best Loss  0.00025998
2021-09-11 02:03:28.471914 : Epoch  2, Batch    114, Loss  0.607083, Average Loss  0.630671, Time  0.235301
2021-09-11 02:03:28.512765 : Epoch  3, Batch    671, Loss  0.896428, Average Loss  0.870222, Time  0.171206
2021-09-11 02:03:30.008073 : Epoch  2, Batch    115, Loss  0.629801, Average Loss  0.630601, Time  0.231799
2021-09-11 02:03:30.086034 : Epoch  3, Batch    672, Loss  0.861949, Average Loss  0.870200, Time  0.172442
2021-09-11 02:03:31.553905 : Epoch  2, Batch    116, Loss  0.637609, Average Loss  0.630576, Time  0.231925
2021-09-11 02:03:31.700032 : Epoch  3, Batch    673, Loss  0.879265, Average Loss  0.870356, Time  0.173572
2021-09-11 02:03:33.097946 : Epoch  2, Batch    117, Loss  0.632722, Average Loss  0.630529, Time  0.231478
2021-09-11 02:03:33.325856 : Epoch  3, Batch    674, Loss  0.859860, Average Loss  0.870277, Time  0.181879
2021-09-11 02:03:34.627008 : Epoch  2, Batch    118, Loss  0.620134, Average Loss  0.630378, Time  0.231195
2021-09-11 02:03:34.947027 : Epoch  3, Batch    675, Loss  0.859609, Average Loss  0.870193, Time  0.172606
2021-09-11 02:03:36.161020 : Epoch  2, Batch    119, Loss  0.632404, Average Loss  0.630311, Time  0.231818
2021-09-11 02:03:36.584030 : Epoch  3, Batch    676, Loss  0.833205, Average Loss  0.869930, Time  0.170199
2021-09-11 02:03:37.687056 : Epoch  2, Batch    120, Loss  0.626993, Average Loss  0.630258, Time  0.231433
2021-09-11 02:03:38.199022 : Epoch  3, Batch    677, Loss  0.892022, Average Loss  0.870004, Time  0.171021
2021-09-11 02:03:39.251043 : Epoch  2, Batch    121, Loss  0.625746, Average Loss  0.630218, Time  0.234525
2021-09-11 02:03:39.834030 : Epoch  3, Batch    678, Loss  0.847147, Average Loss  0.870043, Time  0.177035
2021-09-11 02:03:40.873164 : Epoch  2, Batch    122, Loss  0.617347, Average Loss  0.630100, Time  0.312774
2021-09-11 02:03:42.415950 : Epoch  2, Batch    123, Loss  0.619573, Average Loss  0.629988, Time  0.233666
2021-09-11 02:03:43.955641 : Epoch  2, Batch    124, Loss  0.625582, Average Loss  0.629903, Time  0.231447
2021-09-11 02:03:45.491789 : Epoch  2, Batch    125, Loss  0.631180, Average Loss  0.629855, Time  0.231777
2021-09-11 02:03:47.063836 : Epoch  2, Batch    126, Loss  0.623192, Average Loss  0.629789, Time  0.232158
2021-09-11 02:03:48.599071 : Epoch  2, Batch    127, Loss  0.627469, Average Loss  0.629739, Time  0.231451
2021-09-11 02:03:50.132388 : Epoch  2, Batch    128, Loss  0.620297, Average Loss  0.629619, Time  0.234631
2021-09-11 02:03:51.668150 : Epoch  2, Batch    129, Loss  0.632614, Average Loss  0.629568, Time  0.231383
2021-09-11 02:03:53.202064 : Epoch  2, Batch    130, Loss  0.623835, Average Loss  0.629527, Time  0.231181
2021-09-11 02:03:54.732932 : Epoch  2, Batch    131, Loss  0.614643, Average Loss  0.629376, Time  0.233132
2021-09-11 02:03:56.272816 : Epoch  2, Batch    132, Loss  0.626138, Average Loss  0.629328, Time  0.233791
2021-09-11 02:03:57.894991 : Epoch  2, Batch    133, Loss  0.625987, Average Loss  0.629249, Time  0.312428
2021-09-11 02:03:59.420141 : Epoch  2, Batch    134, Loss  0.629881, Average Loss  0.629194, Time  0.231077
2021-09-11 02:04:00.950905 : Epoch  2, Batch    135, Loss  0.625423, Average Loss  0.629150, Time  0.231879
2021-09-11 02:04:02.515884 : Epoch  2, Batch    136, Loss  0.623124, Average Loss  0.629113, Time  0.231654
2021-09-11 02:04:04.042984 : Epoch  2, Batch    137, Loss  0.624528, Average Loss  0.629003, Time  0.232383
2021-09-11 02:04:05.573835 : Epoch  2, Batch    138, Loss  0.611765, Average Loss  0.628799, Time  0.231532
2021-09-11 02:04:07.104427 : Epoch  2, Batch    139, Loss  0.631781, Average Loss  0.628747, Time  0.235676
2021-09-11 02:04:08.641915 : Epoch  2, Batch    140, Loss  0.623837, Average Loss  0.628708, Time  0.239505
2021-09-11 02:04:10.168000 : Epoch  2, Batch    141, Loss  0.622128, Average Loss  0.628619, Time  0.232801
2021-09-11 02:04:11.701434 : Epoch  2, Batch    142, Loss  0.620120, Average Loss  0.628549, Time  0.231194
2021-09-11 02:04:13.241891 : Epoch  2, Batch    143, Loss  0.628994, Average Loss  0.628505, Time  0.235299
2021-09-11 02:04:14.859891 : Epoch  2, Batch    144, Loss  0.624346, Average Loss  0.628459, Time  0.312875
2021-09-11 02:04:16.421855 : Epoch  2, Batch    145, Loss  0.629489, Average Loss  0.628443, Time  0.233748
2021-09-11 02:04:17.947839 : Epoch  2, Batch    146, Loss  0.618710, Average Loss  0.628352, Time  0.234685
2021-09-11 02:04:19.491879 : Epoch  2, Batch    147, Loss  0.622320, Average Loss  0.628255, Time  0.232608
2021-09-11 02:04:21.022243 : Epoch  2, Batch    148, Loss  0.633466, Average Loss  0.628232, Time  0.237998
2021-09-11 02:04:22.571169 : Epoch  2, Batch    149, Loss  0.617486, Average Loss  0.628179, Time  0.234375
2021-09-11 02:04:24.115998 : Epoch  2, Batch    150, Loss  0.621393, Average Loss  0.628105, Time  0.231106
2021-09-11 02:04:25.647032 : Epoch  2, Batch    151, Loss  0.621533, Average Loss  0.628076, Time  0.231094
2021-09-11 02:04:27.179070 : Epoch  2, Batch    152, Loss  0.619955, Average Loss  0.628007, Time  0.232073
2021-09-11 02:04:28.690327 : Epoch  2, Batch    153, Loss  0.617306, Average Loss  0.627910, Time  0.231236
2021-09-11 02:04:30.232009 : Epoch  2, Batch    154, Loss  0.628321, Average Loss  0.627822, Time  0.236784
2021-09-11 02:04:31.879313 : Epoch  2, Batch    155, Loss  0.625175, Average Loss  0.627720, Time  0.316520
2021-09-11 02:04:33.436844 : Epoch  2, Batch    156, Loss  0.622720, Average Loss  0.627613, Time  0.243165
2021-09-11 02:04:34.986389 : Epoch  2, Batch    157, Loss  0.625327, Average Loss  0.627597, Time  0.233139
2021-09-11 02:04:36.516080 : Epoch  2, Batch    158, Loss  0.615616, Average Loss  0.627455, Time  0.237010
2021-09-11 02:04:38.050381 : Epoch  2, Batch    159, Loss  0.624840, Average Loss  0.627404, Time  0.237372
2021-09-11 02:04:39.702826 : Epoch  2, Batch    160, Loss  0.613284, Average Loss  0.627296, Time  0.235923
2021-09-11 02:04:41.246365 : Epoch  2, Batch    161, Loss  0.621138, Average Loss  0.627199, Time  0.237592
2021-09-11 02:04:42.816181 : Epoch  2, Batch    162, Loss  0.614958, Average Loss  0.627063, Time  0.231378
2021-09-11 02:04:44.431023 : Epoch  2, Batch    163, Loss  0.621134, Average Loss  0.626980, Time  0.288273
2021-09-11 02:04:45.966806 : Epoch  2, Batch    164, Loss  0.631001, Average Loss  0.626940, Time  0.242898
2021-09-11 02:04:47.509151 : Epoch  2, Batch    165, Loss  0.617849, Average Loss  0.626881, Time  0.235314
2021-09-11 02:04:49.142851 : Epoch  2, Batch    166, Loss  0.627548, Average Loss  0.626833, Time  0.316824
2021-09-11 02:04:50.684370 : Epoch  2, Batch    167, Loss  0.623375, Average Loss  0.626752, Time  0.231441
2021-09-11 02:04:52.217886 : Epoch  2, Batch    168, Loss  0.624539, Average Loss  0.626723, Time  0.231214
2021-09-11 02:04:53.754592 : Epoch  2, Batch    169, Loss  0.625079, Average Loss  0.626680, Time  0.231632
2021-09-11 02:04:55.295877 : Epoch  2, Batch    170, Loss  0.634275, Average Loss  0.626650, Time  0.231829
2021-09-11 02:04:56.823417 : Epoch  2, Batch    171, Loss  0.623173, Average Loss  0.626551, Time  0.231273
2021-09-11 02:04:58.363104 : Epoch  2, Batch    172, Loss  0.627594, Average Loss  0.626562, Time  0.234880
2021-09-11 02:04:59.902887 : Epoch  2, Batch    173, Loss  0.618187, Average Loss  0.626494, Time  0.231555
2021-09-11 02:05:01.540053 : Epoch  2, Batch    174, Loss  0.620545, Average Loss  0.626425, Time  0.321436
2021-09-11 02:05:03.101393 : Epoch  2, Batch    175, Loss  0.621517, Average Loss  0.626374, Time  0.234066
2021-09-11 02:05:04.666915 : Epoch  2, Batch    176, Loss  0.615881, Average Loss  0.626231, Time  0.238811
2021-09-11 02:05:06.227384 : Epoch  2, Batch    177, Loss  0.613741, Average Loss  0.626160, Time  0.241006
2021-09-11 02:05:07.789868 : Epoch  2, Batch    178, Loss  0.626934, Average Loss  0.626128, Time  0.232731
2021-09-11 02:05:09.337431 : Epoch  2, Batch    179, Loss  0.613120, Average Loss  0.626036, Time  0.231067
2021-09-11 02:05:10.893395 : Epoch  2, Batch    180, Loss  0.608790, Average Loss  0.625945, Time  0.241730
2021-09-11 02:05:12.434924 : Epoch  2, Batch    181, Loss  0.627051, Average Loss  0.625937, Time  0.231882
2021-09-11 02:05:13.979003 : Epoch  2, Batch    182, Loss  0.625470, Average Loss  0.625864, Time  0.235498
2021-09-11 02:05:15.525718 : Epoch  2, Batch    183, Loss  0.619640, Average Loss  0.625745, Time  0.233910
2021-09-11 02:05:19.461193 : Epoch  2, Batch    184, Loss  0.632016, Average Loss  0.625795, Time  0.252915
2021-09-11 02:05:21.066910 : Epoch  2, Batch    185, Loss  0.637824, Average Loss  0.625780, Time  0.313174
2021-09-11 02:05:22.598929 : Epoch  2, Batch    186, Loss  0.625043, Average Loss  0.625739, Time  0.232509
2021-09-11 02:05:24.142903 : Epoch  2, Batch    187, Loss  0.624297, Average Loss  0.625712, Time  0.235414
2021-09-11 02:05:25.663819 : Epoch  2, Batch    188, Loss  0.612313, Average Loss  0.625633, Time  0.232315
2021-09-11 02:05:27.187158 : Epoch  2, Batch    189, Loss  0.624793, Average Loss  0.625569, Time  0.232062
2021-09-11 02:05:28.709071 : Epoch  2, Batch    190, Loss  0.616573, Average Loss  0.625491, Time  0.231203
2021-09-11 02:05:30.228105 : Epoch  2, Batch    191, Loss  0.611078, Average Loss  0.625362, Time  0.231596
2021-09-11 02:05:31.757958 : Epoch  2, Batch    192, Loss  0.629330, Average Loss  0.625323, Time  0.231646
2021-09-11 02:05:33.348203 : Epoch  2, Batch    193, Loss  0.602907, Average Loss  0.625217, Time  0.269658
2021-09-11 02:05:34.868200 : Epoch  2, Batch    194, Loss  0.624763, Average Loss  0.625200, Time  0.233936
2021-09-11 02:05:36.405415 : Epoch  2, Batch    195, Loss  0.619097, Average Loss  0.625144, Time  0.231202
2021-09-11 02:05:37.926544 : Epoch  2, Batch    196, Loss  0.624895, Average Loss  0.625089, Time  0.234060
2021-09-11 02:05:39.466027 : Epoch  2, Batch    197, Loss  0.626636, Average Loss  0.625062, Time  0.234826
2021-09-11 02:05:40.997048 : Epoch  2, Batch    198, Loss  0.616826, Average Loss  0.624998, Time  0.231443
2021-09-11 02:05:42.529242 : Epoch  2, Batch    199, Loss  0.625638, Average Loss  0.624988, Time  0.231663
2021-09-11 02:05:44.109051 : Epoch  2, Batch    200, Loss  0.622030, Average Loss  0.624884, Time  0.236223
2021-09-11 02:05:45.661842 : Epoch  2, Batch    201, Loss  0.630723, Average Loss  0.624887, Time  0.238499
2021-09-11 02:05:47.198930 : Epoch  2, Batch    202, Loss  0.625621, Average Loss  0.624855, Time  0.231617
2021-09-11 02:05:48.737407 : Epoch  2, Batch    203, Loss  0.618538, Average Loss  0.624808, Time  0.231348
2021-09-11 02:05:50.317911 : Epoch  2, Batch    204, Loss  0.622565, Average Loss  0.624792, Time  0.279809
2021-09-11 02:05:51.859421 : Epoch  2, Batch    205, Loss  0.625645, Average Loss  0.624722, Time  0.232593
2021-09-11 02:05:53.397391 : Epoch  2, Batch    206, Loss  0.620597, Average Loss  0.624665, Time  0.234050
2021-09-11 02:05:54.950115 : Epoch  2, Batch    207, Loss  0.623988, Average Loss  0.624640, Time  0.235166
2021-09-11 02:05:56.488880 : Epoch  2, Batch    208, Loss  0.620079, Average Loss  0.624582, Time  0.236795
2021-09-11 02:05:58.025074 : Epoch  2, Batch    209, Loss  0.618157, Average Loss  0.624558, Time  0.235150
2021-09-11 02:05:59.560909 : Epoch  2, Batch    210, Loss  0.622879, Average Loss  0.624529, Time  0.231441
2021-09-11 02:06:01.117425 : Epoch  2, Batch    211, Loss  0.639153, Average Loss  0.624600, Time  0.233489
2021-09-11 02:06:02.681897 : Epoch  2, Batch    212, Loss  0.611810, Average Loss  0.624482, Time  0.236273
2021-09-11 02:06:06.507135 : Epoch  2, Batch    213, Loss  0.623281, Average Loss  0.624463, Time  0.234890
2021-09-11 02:07:03.735736 : CheckPoint: Validation Loss  0.00026023, Best Loss  0.00025998
2021-09-11 02:07:05.340090 : Epoch  2, Batch    214, Loss  0.628896, Average Loss  0.624462, Time  0.253721
2021-09-11 02:07:06.895056 : Epoch  2, Batch    215, Loss  0.617227, Average Loss  0.624406, Time  0.231747
2021-09-11 02:07:08.515830 : Epoch  2, Batch    216, Loss  0.612835, Average Loss  0.624359, Time  0.322842
2021-09-11 02:07:10.080237 : Epoch  2, Batch    217, Loss  0.623114, Average Loss  0.624334, Time  0.233541
2021-09-11 02:07:11.631951 : Epoch  2, Batch    218, Loss  0.611131, Average Loss  0.624213, Time  0.232104
2021-09-11 02:07:13.227083 : Epoch  2, Batch    219, Loss  0.617207, Average Loss  0.624124, Time  0.232350
2021-09-11 02:07:14.784843 : Epoch  2, Batch    220, Loss  0.624385, Average Loss  0.624124, Time  0.238755
2021-09-11 02:07:16.399995 : Epoch  2, Batch    221, Loss  0.617937, Average Loss  0.624099, Time  0.242743
2021-09-11 02:07:17.939171 : Epoch  2, Batch    222, Loss  0.624794, Average Loss  0.624059, Time  0.237786
2021-09-11 02:07:19.498447 : Epoch  2, Batch    223, Loss  0.618265, Average Loss  0.623945, Time  0.234579
2021-09-11 02:07:21.065354 : Epoch  2, Batch    224, Loss  0.622187, Average Loss  0.623867, Time  0.270811
2021-09-11 02:07:22.597844 : Epoch  2, Batch    225, Loss  0.605729, Average Loss  0.623752, Time  0.231091
2021-09-11 02:07:24.125822 : Epoch  2, Batch    226, Loss  0.634172, Average Loss  0.623821, Time  0.231619
2021-09-11 02:07:24.885072 : CheckPoint: Validation Loss  0.00029681, Best Loss  0.00029681
2021-09-11 02:07:24.943569 : Best Model Updated
2021-09-11 02:07:25.643387 : Epoch  2, Batch    227, Loss  0.623663, Average Loss  0.623817, Time  0.230934
2021-09-11 02:07:27.180928 : Epoch  2, Batch    228, Loss  0.622140, Average Loss  0.623836, Time  0.231462
2021-09-11 02:07:28.892056 : Epoch  1, Batch    401, Loss  0.908103, Average Loss  0.922361, Time  0.452474
2021-09-11 02:07:28.934431 : Epoch  2, Batch    229, Loss  0.621673, Average Loss  0.623772, Time  0.380574
2021-09-11 02:07:30.478383 : Epoch  2, Batch    230, Loss  0.616032, Average Loss  0.623702, Time  0.238868
2021-09-11 02:07:31.566587 : Epoch  1, Batch    402, Loss  0.914875, Average Loss  0.922085, Time  0.238479
2021-09-11 02:07:32.010985 : Epoch  2, Batch    231, Loss  0.624847, Average Loss  0.623692, Time  0.238234
2021-09-11 02:07:33.557408 : Epoch  2, Batch    232, Loss  0.626427, Average Loss  0.623679, Time  0.235189
2021-09-11 02:07:34.172194 : Epoch  1, Batch    403, Loss  0.901582, Average Loss  0.921845, Time  0.237805
2021-09-11 02:07:35.105469 : Epoch  2, Batch    233, Loss  0.626114, Average Loss  0.623692, Time  0.235708
2021-09-11 02:07:36.838843 : Epoch  2, Batch    234, Loss  0.623393, Average Loss  0.623712, Time  0.384940
2021-09-11 02:07:36.914360 : Epoch  1, Batch    404, Loss  0.895423, Average Loss  0.921513, Time  0.324902
2021-09-11 02:07:38.396433 : Epoch  2, Batch    235, Loss  0.629055, Average Loss  0.623666, Time  0.235119
2021-09-11 02:07:39.552866 : Epoch  1, Batch    405, Loss  0.874273, Average Loss  0.921018, Time  0.238351
2021-09-11 02:07:39.961944 : Epoch  2, Batch    236, Loss  0.612450, Average Loss  0.623558, Time  0.239665
2021-09-11 02:07:41.523977 : Epoch  2, Batch    237, Loss  0.612468, Average Loss  0.623444, Time  0.237241
2021-09-11 02:07:42.206421 : Epoch  1, Batch    406, Loss  0.873499, Average Loss  0.920524, Time  0.237861
2021-09-11 02:07:43.077386 : Epoch  2, Batch    238, Loss  0.621363, Average Loss  0.623449, Time  0.232929
2021-09-11 02:07:44.631353 : Epoch  2, Batch    239, Loss  0.625900, Average Loss  0.623423, Time  0.235271
2021-09-11 02:07:44.846866 : Epoch  1, Batch    407, Loss  0.885138, Average Loss  0.919958, Time  0.243483
2021-09-11 02:07:46.199019 : Epoch  2, Batch    240, Loss  0.621288, Average Loss  0.623341, Time  0.236085
2021-09-11 02:07:47.527006 : Epoch  1, Batch    408, Loss  0.881096, Average Loss  0.919555, Time  0.238019
2021-09-11 02:07:47.908396 : Epoch  2, Batch    241, Loss  0.626063, Average Loss  0.623393, Time  0.231658
2021-09-11 02:07:49.483915 : Epoch  2, Batch    242, Loss  0.629759, Average Loss  0.623486, Time  0.231533
2021-09-11 02:07:50.167405 : Epoch  1, Batch    409, Loss  0.885113, Average Loss  0.919077, Time  0.240305
2021-09-11 02:07:51.017414 : Epoch  2, Batch    243, Loss  0.631022, Average Loss  0.623517, Time  0.231112
2021-09-11 02:07:52.617882 : Epoch  2, Batch    244, Loss  0.617848, Average Loss  0.623456, Time  0.236966
2021-09-11 02:07:52.821771 : Epoch  1, Batch    410, Loss  0.894885, Average Loss  0.918835, Time  0.245030
2021-09-11 02:07:54.157113 : Epoch  2, Batch    245, Loss  0.632634, Average Loss  0.623471, Time  0.231541
2021-09-11 02:07:55.470435 : Epoch  1, Batch    411, Loss  0.897532, Average Loss  0.918327, Time  0.237907
2021-09-11 02:07:55.711896 : Epoch  2, Batch    246, Loss  0.619639, Average Loss  0.623418, Time  0.232002
2021-09-11 02:07:57.254050 : Epoch  2, Batch    247, Loss  0.620984, Average Loss  0.623438, Time  0.231015
2021-09-11 02:07:58.087379 : Epoch  1, Batch    412, Loss  0.886360, Average Loss  0.918024, Time  0.238373
2021-09-11 02:07:58.803944 : Epoch  2, Batch    248, Loss  0.627915, Average Loss  0.623394, Time  0.231533
2021-09-11 02:08:00.337999 : Epoch  2, Batch    249, Loss  0.624463, Average Loss  0.623365, Time  0.230895
2021-09-11 02:08:00.704220 : Epoch  1, Batch    413, Loss  0.885479, Average Loss  0.917556, Time  0.237842
2021-09-11 02:08:01.885015 : Epoch  2, Batch    250, Loss  0.620005, Average Loss  0.623349, Time  0.235231
2021-09-11 02:08:03.493814 : Epoch  1, Batch    414, Loss  0.894417, Average Loss  0.917281, Time  0.402346
2021-09-11 02:08:03.550470 : Epoch  2, Batch    251, Loss  0.615546, Average Loss  0.623279, Time  0.336257
2021-09-11 02:08:05.110951 : Epoch  2, Batch    252, Loss  0.618058, Average Loss  0.623197, Time  0.231940
2021-09-11 02:08:06.168193 : Epoch  1, Batch    415, Loss  0.884822, Average Loss  0.916919, Time  0.238460
2021-09-11 02:08:06.646457 : Epoch  2, Batch    253, Loss  0.619244, Average Loss  0.623256, Time  0.231351
2021-09-11 02:08:08.177966 : Epoch  2, Batch    254, Loss  0.620845, Average Loss  0.623253, Time  0.231946
2021-09-11 02:08:08.797185 : Epoch  1, Batch    416, Loss  0.912269, Average Loss  0.916655, Time  0.241197
2021-09-11 02:08:09.719406 : Epoch  2, Batch    255, Loss  0.619133, Average Loss  0.623259, Time  0.233901
2021-09-11 02:08:11.437132 : Epoch  2, Batch    256, Loss  0.628702, Average Loss  0.623335, Time  0.382880
2021-09-11 02:08:11.513399 : Epoch  1, Batch    417, Loss  0.890641, Average Loss  0.916287, Time  0.329260
2021-09-11 02:08:12.995364 : Epoch  2, Batch    257, Loss  0.617509, Average Loss  0.623299, Time  0.241699
2021-09-11 02:08:14.168834 : Epoch  1, Batch    418, Loss  0.877214, Average Loss  0.915820, Time  0.239173
2021-09-11 02:08:14.555378 : Epoch  2, Batch    258, Loss  0.620472, Average Loss  0.623234, Time  0.231504
2021-09-11 02:08:16.093844 : Epoch  2, Batch    259, Loss  0.617349, Average Loss  0.623212, Time  0.231601
2021-09-11 02:08:16.809408 : Epoch  1, Batch    419, Loss  0.874101, Average Loss  0.915374, Time  0.237742
2021-09-11 02:08:17.664050 : Epoch  2, Batch    260, Loss  0.619227, Average Loss  0.623152, Time  0.239239
2021-09-11 02:08:19.415887 : Epoch  2, Batch    261, Loss  0.628552, Average Loss  0.623121, Time  0.355729
2021-09-11 02:08:19.504434 : Epoch  1, Batch    420, Loss  0.875491, Average Loss  0.914972, Time  0.287387
2021-09-11 02:08:20.749740 : CheckPoint: Validation Loss  0.00062759, Best Loss  0.00057296
2021-09-11 02:08:20.959979 : Epoch  2, Batch    262, Loss  0.624487, Average Loss  0.623152, Time  0.236050
2021-09-11 02:08:22.189073 : Epoch  1, Batch    421, Loss  0.900543, Average Loss  0.914593, Time  0.242500
2021-09-11 02:08:22.367951 : Epoch  3, Batch    679, Loss  0.835944, Average Loss  0.869874, Time  0.178762
2021-09-11 02:08:22.507345 : Epoch  2, Batch    263, Loss  0.622969, Average Loss  0.623183, Time  0.232926
2021-09-11 02:08:24.048935 : Epoch  3, Batch    680, Loss  0.837823, Average Loss  0.869629, Time  0.171720
2021-09-11 02:08:24.062385 : Epoch  2, Batch    264, Loss  0.616016, Average Loss  0.623149, Time  0.239423
2021-09-11 02:08:24.829455 : Epoch  1, Batch    422, Loss  0.861787, Average Loss  0.914153, Time  0.239586
2021-09-11 02:08:25.620376 : Epoch  2, Batch    265, Loss  0.614801, Average Loss  0.623094, Time  0.234635
2021-09-11 02:08:25.684987 : Epoch  3, Batch    681, Loss  0.869412, Average Loss  0.869680, Time  0.189853
2021-09-11 02:08:27.168026 : Epoch  2, Batch    266, Loss  0.613278, Average Loss  0.623050, Time  0.234994
2021-09-11 02:08:27.282006 : Epoch  3, Batch    682, Loss  0.853920, Average Loss  0.869702, Time  0.169941
2021-09-11 02:08:27.466104 : Epoch  1, Batch    423, Loss  0.866769, Average Loss  0.913704, Time  0.244589
2021-09-11 02:08:28.737975 : Epoch  2, Batch    267, Loss  0.623336, Average Loss  0.623027, Time  0.231911
2021-09-11 02:08:28.900856 : Epoch  3, Batch    683, Loss  0.882280, Average Loss  0.869775, Time  0.170477
2021-09-11 02:08:30.091937 : Epoch  1, Batch    424, Loss  0.875414, Average Loss  0.913263, Time  0.243636
2021-09-11 02:08:30.309164 : Epoch  2, Batch    268, Loss  0.627677, Average Loss  0.623092, Time  0.234924
2021-09-11 02:08:30.511836 : Epoch  3, Batch    684, Loss  0.859348, Average Loss  0.869787, Time  0.173660
2021-09-11 02:08:31.865211 : Epoch  2, Batch    269, Loss  0.636298, Average Loss  0.623081, Time  0.232437
2021-09-11 02:08:32.133020 : Epoch  3, Batch    685, Loss  0.860797, Average Loss  0.869710, Time  0.173384
2021-09-11 02:08:32.715854 : Epoch  1, Batch    425, Loss  0.882343, Average Loss  0.912911, Time  0.243256
2021-09-11 02:08:33.395976 : Epoch  2, Batch    270, Loss  0.629458, Average Loss  0.623126, Time  0.231230
2021-09-11 02:08:33.767745 : Epoch  3, Batch    686, Loss  0.898374, Average Loss  0.869686, Time  0.185936
2021-09-11 02:08:34.935050 : Epoch  2, Batch    271, Loss  0.627934, Average Loss  0.623148, Time  0.231359
2021-09-11 02:08:35.358330 : Epoch  1, Batch    426, Loss  0.893789, Average Loss  0.912517, Time  0.239034
2021-09-11 02:08:35.415027 : Epoch  3, Batch    687, Loss  0.865047, Average Loss  0.869819, Time  0.172024
2021-09-11 02:08:36.471967 : Epoch  2, Batch    272, Loss  0.621617, Average Loss  0.623135, Time  0.236198
2021-09-11 02:08:37.012058 : Epoch  3, Batch    688, Loss  0.856882, Average Loss  0.869668, Time  0.173449
2021-09-11 02:08:38.187018 : Epoch  1, Batch    427, Loss  0.876186, Average Loss  0.912060, Time  0.450443
2021-09-11 02:08:38.187089 : Epoch  2, Batch    273, Loss  0.626529, Average Loss  0.623132, Time  0.415105
2021-09-11 02:08:38.650020 : Epoch  3, Batch    689, Loss  0.849219, Average Loss  0.869484, Time  0.179282
2021-09-11 02:08:39.799007 : Epoch  2, Batch    274, Loss  0.637040, Average Loss  0.623174, Time  0.231399
2021-09-11 02:08:40.258770 : Epoch  3, Batch    690, Loss  0.850722, Average Loss  0.869399, Time  0.169931
2021-09-11 02:08:40.842025 : Epoch  1, Batch    428, Loss  0.881896, Average Loss  0.911708, Time  0.240662
2021-09-11 02:08:41.334906 : Epoch  2, Batch    275, Loss  0.618614, Average Loss  0.623172, Time  0.231361
2021-09-11 02:08:41.878023 : Epoch  3, Batch    691, Loss  0.881655, Average Loss  0.869539, Time  0.177118
2021-09-11 02:08:42.887885 : Epoch  2, Batch    276, Loss  0.623394, Average Loss  0.623177, Time  0.231558
2021-09-11 02:08:43.451938 : Epoch  1, Batch    429, Loss  0.899507, Average Loss  0.911448, Time  0.237833
2021-09-11 02:08:43.510038 : Epoch  3, Batch    692, Loss  0.852333, Average Loss  0.869551, Time  0.170155
2021-09-11 02:08:44.439074 : Epoch  2, Batch    277, Loss  0.623907, Average Loss  0.623177, Time  0.237321
2021-09-11 02:08:45.114026 : Epoch  3, Batch    693, Loss  0.880181, Average Loss  0.869616, Time  0.173894
2021-09-11 02:08:46.195395 : Epoch  2, Batch    278, Loss  0.614827, Average Loss  0.623179, Time  0.437228
2021-09-11 02:08:46.246464 : Epoch  1, Batch    430, Loss  0.871777, Average Loss  0.910950, Time  0.388024
2021-09-11 02:08:46.753034 : Epoch  3, Batch    694, Loss  0.874433, Average Loss  0.869622, Time  0.175915
2021-09-11 02:08:47.733409 : Epoch  2, Batch    279, Loss  0.620704, Average Loss  0.623192, Time  0.231326
2021-09-11 02:08:48.383024 : Epoch  3, Batch    695, Loss  0.879220, Average Loss  0.869616, Time  0.170653
2021-09-11 02:08:48.865406 : Epoch  1, Batch    431, Loss  0.865220, Average Loss  0.910440, Time  0.249604
2021-09-11 02:08:49.350167 : Epoch  2, Batch    280, Loss  0.626857, Average Loss  0.623214, Time  0.236769
2021-09-11 02:08:49.995674 : Epoch  3, Batch    696, Loss  0.878772, Average Loss  0.869678, Time  0.170097
2021-09-11 02:08:51.024380 : Epoch  2, Batch    281, Loss  0.628513, Average Loss  0.623182, Time  0.233880
2021-09-11 02:08:51.558410 : Epoch  1, Batch    432, Loss  0.884343, Average Loss  0.910010, Time  0.241436
2021-09-11 02:08:51.618029 : Epoch  3, Batch    697, Loss  0.858422, Average Loss  0.869474, Time  0.170137
2021-09-11 02:08:52.671361 : Epoch  2, Batch    282, Loss  0.625815, Average Loss  0.623198, Time  0.235163
2021-09-11 02:08:53.239833 : Epoch  3, Batch    698, Loss  0.877866, Average Loss  0.869429, Time  0.170436
2021-09-11 02:08:54.410869 : Epoch  2, Batch    283, Loss  0.623824, Average Loss  0.623166, Time  0.427973
2021-09-11 02:08:54.462174 : Epoch  1, Batch    433, Loss  0.889734, Average Loss  0.909700, Time  0.458797
2021-09-11 02:08:54.863065 : Epoch  3, Batch    699, Loss  0.884234, Average Loss  0.869657, Time  0.174594
2021-09-11 02:08:56.494047 : Epoch  3, Batch    700, Loss  0.868377, Average Loss  0.869764, Time  0.173897
2021-09-11 02:08:57.062025 : Epoch  1, Batch    434, Loss  0.891188, Average Loss  0.909345, Time  0.238098
2021-09-11 02:08:58.149772 : Epoch  3, Batch    701, Loss  0.893068, Average Loss  0.869831, Time  0.187157
2021-09-11 02:08:58.399823 : Epoch  2, Batch    284, Loss  0.616758, Average Loss  0.623131, Time  0.235257
2021-09-11 02:08:59.684842 : Epoch  1, Batch    435, Loss  0.887160, Average Loss  0.909035, Time  0.238214
2021-09-11 02:08:59.761031 : Epoch  3, Batch    702, Loss  0.837324, Average Loss  0.869738, Time  0.171809
2021-09-11 02:08:59.949070 : Epoch  2, Batch    285, Loss  0.612787, Average Loss  0.623075, Time  0.232265
2021-09-11 02:09:01.378904 : Epoch  3, Batch    703, Loss  0.872387, Average Loss  0.869767, Time  0.170187
2021-09-11 02:09:01.509013 : Epoch  2, Batch    286, Loss  0.631810, Average Loss  0.623032, Time  0.239747
2021-09-11 02:09:02.316850 : Epoch  1, Batch    436, Loss  0.905318, Average Loss  0.908763, Time  0.238204
2021-09-11 02:09:03.013767 : Epoch  3, Batch    704, Loss  0.869340, Average Loss  0.869654, Time  0.176813
2021-09-11 02:09:03.050410 : Epoch  2, Batch    287, Loss  0.617012, Average Loss  0.622990, Time  0.235284
2021-09-11 02:09:04.599432 : Epoch  2, Batch    288, Loss  0.621222, Average Loss  0.622931, Time  0.231392
2021-09-11 02:09:04.649770 : Epoch  3, Batch    705, Loss  0.883658, Average Loss  0.869765, Time  0.174960
2021-09-11 02:09:04.956071 : Epoch  1, Batch    437, Loss  0.900285, Average Loss  0.908445, Time  0.237837
2021-09-11 02:09:06.141415 : Epoch  2, Batch    289, Loss  0.630285, Average Loss  0.622911, Time  0.232533
2021-09-11 02:09:06.255025 : Epoch  3, Batch    706, Loss  0.882308, Average Loss  0.869738, Time  0.175220
2021-09-11 02:09:07.779438 : Epoch  1, Batch    438, Loss  0.906943, Average Loss  0.908282, Time  0.419364
2021-09-11 02:09:07.828427 : Epoch  2, Batch    290, Loss  0.624038, Average Loss  0.622908, Time  0.353034
2021-09-11 02:09:07.869803 : Epoch  3, Batch    707, Loss  0.849729, Average Loss  0.869671, Time  0.171379
2021-09-11 02:09:09.371411 : Epoch  2, Batch    291, Loss  0.626133, Average Loss  0.622965, Time  0.231096
2021-09-11 02:09:09.492051 : Epoch  3, Batch    708, Loss  0.899600, Average Loss  0.869853, Time  0.169778
2021-09-11 02:09:10.429537 : Epoch  1, Batch    439, Loss  0.899541, Average Loss  0.907959, Time  0.239277
2021-09-11 02:09:10.912853 : Epoch  2, Batch    292, Loss  0.623519, Average Loss  0.623001, Time  0.231318
2021-09-11 02:09:11.088029 : Epoch  3, Batch    709, Loss  0.892014, Average Loss  0.869706, Time  0.169804
2021-09-11 02:09:12.453844 : Epoch  2, Batch    293, Loss  0.612359, Average Loss  0.622920, Time  0.231546
2021-09-11 02:09:12.726029 : Epoch  3, Batch    710, Loss  0.847589, Average Loss  0.869567, Time  0.173619
2021-09-11 02:09:13.092855 : Epoch  1, Batch    440, Loss  0.882306, Average Loss  0.907726, Time  0.238938
2021-09-11 02:09:14.006376 : Epoch  2, Batch    294, Loss  0.627107, Average Loss  0.622875, Time  0.234803
2021-09-11 02:09:14.379955 : Epoch  3, Batch    711, Loss  0.888851, Average Loss  0.869500, Time  0.172315
2021-09-11 02:09:15.672084 : Epoch  2, Batch    295, Loss  0.621197, Average Loss  0.622881, Time  0.348459
2021-09-11 02:09:15.771039 : Epoch  1, Batch    441, Loss  0.891038, Average Loss  0.907424, Time  0.295821
2021-09-11 02:09:16.017033 : Epoch  3, Batch    712, Loss  0.873394, Average Loss  0.869480, Time  0.175501
2021-09-11 02:09:17.217444 : Epoch  2, Batch    296, Loss  0.634892, Average Loss  0.622916, Time  0.231420
2021-09-11 02:09:17.658754 : Epoch  3, Batch    713, Loss  0.890585, Average Loss  0.869486, Time  0.170010
2021-09-11 02:09:18.424891 : Epoch  1, Batch    442, Loss  0.868656, Average Loss  0.907120, Time  0.241286
2021-09-11 02:09:18.753874 : Epoch  2, Batch    297, Loss  0.628812, Average Loss  0.622950, Time  0.231210
2021-09-11 02:09:19.267752 : Epoch  3, Batch    714, Loss  0.904731, Average Loss  0.869610, Time  0.169871
2021-09-11 02:09:20.301432 : Epoch  2, Batch    298, Loss  0.614141, Average Loss  0.622872, Time  0.235218
2021-09-11 02:09:20.927027 : Epoch  3, Batch    715, Loss  0.866918, Average Loss  0.869633, Time  0.169975
2021-09-11 02:09:21.085052 : Epoch  1, Batch    443, Loss  0.896792, Average Loss  0.906860, Time  0.238725
2021-09-11 02:09:21.873058 : Epoch  2, Batch    299, Loss  0.621042, Average Loss  0.622878, Time  0.235413
2021-09-11 02:09:22.536916 : Epoch  3, Batch    716, Loss  0.859801, Average Loss  0.869535, Time  0.170147
2021-09-11 02:09:23.422151 : Epoch  2, Batch    300, Loss  0.622571, Average Loss  0.622878, Time  0.235937
2021-09-11 02:09:23.720940 : Epoch  1, Batch    444, Loss  0.893873, Average Loss  0.906594, Time  0.238733
2021-09-11 02:09:24.150763 : Epoch  3, Batch    717, Loss  0.872738, Average Loss  0.869599, Time  0.170388
2021-09-11 02:09:24.976437 : Epoch  2, Batch    301, Loss  0.621251, Average Loss  0.622828, Time  0.231545
2021-09-11 02:09:25.786029 : Epoch  3, Batch    718, Loss  0.898910, Average Loss  0.869716, Time  0.171762
2021-09-11 02:09:26.486193 : Epoch  1, Batch    445, Loss  0.896375, Average Loss  0.906370, Time  0.363556
2021-09-11 02:09:26.575426 : Epoch  2, Batch    302, Loss  0.619844, Average Loss  0.622759, Time  0.295506
2021-09-11 02:09:27.418742 : Epoch  3, Batch    719, Loss  0.868880, Average Loss  0.869723, Time  0.170460
2021-09-11 02:09:28.124169 : Epoch  2, Batch    303, Loss  0.616332, Average Loss  0.622748, Time  0.231030
2021-09-11 02:09:29.042457 : Epoch  3, Batch    720, Loss  0.838839, Average Loss  0.869719, Time  0.174030
2021-09-11 02:09:29.130909 : Epoch  1, Batch    446, Loss  0.860867, Average Loss  0.905920, Time  0.238950
2021-09-11 02:09:29.656645 : Epoch  2, Batch    304, Loss  0.621983, Average Loss  0.622667, Time  0.231224
2021-09-11 02:09:30.688032 : Epoch  3, Batch    721, Loss  0.875772, Average Loss  0.869695, Time  0.176298
2021-09-11 02:09:31.200701 : Epoch  2, Batch    305, Loss  0.625834, Average Loss  0.622670, Time  0.231990
2021-09-11 02:09:31.769866 : Epoch  1, Batch    447, Loss  0.882834, Average Loss  0.905699, Time  0.241532
2021-09-11 02:09:32.312035 : Epoch  3, Batch    722, Loss  0.871258, Average Loss  0.869578, Time  0.169669
2021-09-11 02:09:32.761983 : Epoch  2, Batch    306, Loss  0.614152, Average Loss  0.622681, Time  0.241110
2021-09-11 02:09:33.927796 : Epoch  3, Batch    723, Loss  0.869478, Average Loss  0.869671, Time  0.170078
2021-09-11 02:09:34.510042 : Epoch  2, Batch    307, Loss  0.624460, Average Loss  0.622701, Time  0.422919
2021-09-11 02:09:34.556411 : Epoch  1, Batch    448, Loss  0.879717, Average Loss  0.905337, Time  0.361351
2021-09-11 02:09:35.530978 : Epoch  3, Batch    724, Loss  0.858180, Average Loss  0.869574, Time  0.170762
2021-09-11 02:09:36.056435 : Epoch  2, Batch    308, Loss  0.622695, Average Loss  0.622708, Time  0.234418
2021-09-11 02:09:37.127026 : Epoch  3, Batch    725, Loss  0.885084, Average Loss  0.869781, Time  0.170035
2021-09-11 02:09:37.176874 : Epoch  1, Batch    449, Loss  0.911188, Average Loss  0.905053, Time  0.238080
2021-09-11 02:09:37.605384 : Epoch  2, Batch    309, Loss  0.600541, Average Loss  0.622636, Time  0.230964
2021-09-11 02:09:38.755029 : Epoch  3, Batch    726, Loss  0.871039, Average Loss  0.869879, Time  0.170654
2021-09-11 02:09:39.170391 : Epoch  2, Batch    310, Loss  0.614658, Average Loss  0.622571, Time  0.234287
2021-09-11 02:09:39.798891 : Epoch  1, Batch    450, Loss  0.884035, Average Loss  0.904783, Time  0.239307
2021-09-11 02:09:40.366614 : Epoch  3, Batch    727, Loss  0.862859, Average Loss  0.869761, Time  0.169774
2021-09-11 02:09:40.725890 : Epoch  2, Batch    311, Loss  0.625844, Average Loss  0.622523, Time  0.236208
2021-09-11 02:09:41.986849 : Epoch  3, Batch    728, Loss  0.854243, Average Loss  0.869734, Time  0.171188
2021-09-11 02:09:42.410104 : Epoch  2, Batch    312, Loss  0.625456, Average Loss  0.622561, Time  0.369853
2021-09-11 02:09:42.495891 : Epoch  1, Batch    451, Loss  0.903120, Average Loss  0.904616, Time  0.310297
2021-09-11 02:09:43.615925 : Epoch  3, Batch    729, Loss  0.899562, Average Loss  0.869956, Time  0.170190
2021-09-11 02:09:43.962359 : Epoch  2, Batch    313, Loss  0.623674, Average Loss  0.622574, Time  0.240260
2021-09-11 02:09:45.147095 : Epoch  1, Batch    452, Loss  0.888137, Average Loss  0.904408, Time  0.240163
2021-09-11 02:09:45.239032 : Epoch  3, Batch    730, Loss  0.866238, Average Loss  0.869850, Time  0.173163
2021-09-11 02:09:46.885837 : Epoch  3, Batch    731, Loss  0.867021, Average Loss  0.869742, Time  0.183262
2021-09-11 02:09:47.842853 : Epoch  1, Batch    453, Loss  0.906749, Average Loss  0.904206, Time  0.319363
2021-09-11 02:09:48.519042 : Epoch  3, Batch    732, Loss  0.880768, Average Loss  0.870008, Time  0.170085
2021-09-11 02:09:50.151034 : Epoch  3, Batch    733, Loss  0.859142, Average Loss  0.870002, Time  0.170121
2021-09-11 02:09:50.601953 : Epoch  1, Batch    454, Loss  0.865224, Average Loss  0.903814, Time  0.322891
2021-09-11 02:09:51.773871 : Epoch  3, Batch    734, Loss  0.872381, Average Loss  0.870110, Time  0.172900
2021-09-11 02:09:53.324858 : Epoch  1, Batch    455, Loss  0.891911, Average Loss  0.903553, Time  0.321506
2021-09-11 02:09:53.371032 : Epoch  3, Batch    735, Loss  0.887045, Average Loss  0.870234, Time  0.172603
2021-09-11 02:09:54.994928 : Epoch  3, Batch    736, Loss  0.860611, Average Loss  0.870288, Time  0.170792
2021-09-11 02:09:56.185369 : Epoch  1, Batch    456, Loss  0.906707, Average Loss  0.903398, Time  0.366161
2021-09-11 02:09:56.617769 : Epoch  3, Batch    737, Loss  0.873959, Average Loss  0.870298, Time  0.170542
2021-09-11 02:09:58.231031 : Epoch  3, Batch    738, Loss  0.885748, Average Loss  0.870334, Time  0.180150
2021-09-11 02:09:58.891923 : Epoch  1, Batch    457, Loss  0.866343, Average Loss  0.903096, Time  0.245494
2021-09-11 02:09:59.841035 : Epoch  3, Batch    739, Loss  0.864359, Average Loss  0.870352, Time  0.179224
2021-09-11 02:10:01.437775 : Epoch  3, Batch    740, Loss  0.842525, Average Loss  0.870101, Time  0.170781
2021-09-11 02:10:01.541921 : Epoch  1, Batch    458, Loss  0.884527, Average Loss  0.902786, Time  0.241708
2021-09-11 02:10:03.035026 : Epoch  3, Batch    741, Loss  0.877587, Average Loss  0.870084, Time  0.173651
2021-09-11 02:10:04.186889 : Epoch  1, Batch    459, Loss  0.886183, Average Loss  0.902403, Time  0.238043
2021-09-11 02:10:04.658030 : Epoch  3, Batch    742, Loss  0.888274, Average Loss  0.870242, Time  0.173564
2021-09-11 02:10:06.295029 : Epoch  3, Batch    743, Loss  0.830207, Average Loss  0.870025, Time  0.176158
2021-09-11 02:10:06.829454 : Epoch  1, Batch    460, Loss  0.907985, Average Loss  0.902316, Time  0.246326
2021-09-11 02:10:07.927778 : Epoch  3, Batch    744, Loss  0.874482, Average Loss  0.870015, Time  0.169734
2021-09-11 02:10:09.477439 : Epoch  1, Batch    461, Loss  0.890616, Average Loss  0.902189, Time  0.240726
2021-09-11 02:10:09.536771 : Epoch  3, Batch    745, Loss  0.887496, Average Loss  0.870142, Time  0.174440
2021-09-11 02:10:11.133854 : Epoch  3, Batch    746, Loss  0.881638, Average Loss  0.870177, Time  0.169989
2021-09-11 02:10:12.108980 : Epoch  1, Batch    462, Loss  0.859771, Average Loss  0.901886, Time  0.238901
2021-09-11 02:10:12.774025 : Epoch  3, Batch    747, Loss  0.862859, Average Loss  0.870077, Time  0.170660
2021-09-11 02:10:14.424854 : Epoch  3, Batch    748, Loss  0.877494, Average Loss  0.870094, Time  0.173875
2021-09-11 02:10:14.753925 : Epoch  1, Batch    463, Loss  0.903212, Average Loss  0.901720, Time  0.238389
2021-09-11 02:10:16.044039 : Epoch  3, Batch    749, Loss  0.879347, Average Loss  0.870241, Time  0.178679
2021-09-11 02:10:17.405936 : Epoch  1, Batch    464, Loss  0.885467, Average Loss  0.901588, Time  0.244833
2021-09-11 02:10:17.658753 : Epoch  3, Batch    750, Loss  0.866368, Average Loss  0.870204, Time  0.174301
2021-09-11 02:10:19.270032 : Epoch  3, Batch    751, Loss  0.889271, Average Loss  0.870307, Time  0.170677
2021-09-11 02:10:20.058404 : Epoch  1, Batch    465, Loss  0.899957, Average Loss  0.901402, Time  0.239028
2021-09-11 02:10:20.925022 : Epoch  3, Batch    752, Loss  0.855801, Average Loss  0.870283, Time  0.175297
2021-09-11 02:10:22.548030 : Epoch  3, Batch    753, Loss  0.868561, Average Loss  0.870264, Time  0.175791
2021-09-11 02:10:22.708847 : Epoch  1, Batch    466, Loss  0.884603, Average Loss  0.901142, Time  0.241725
2021-09-11 02:10:24.156850 : Epoch  3, Batch    754, Loss  0.879732, Average Loss  0.870301, Time  0.176393
2021-09-11 02:10:25.397012 : Epoch  1, Batch    467, Loss  0.904359, Average Loss  0.901070, Time  0.241841
2021-09-11 02:10:25.795753 : Epoch  3, Batch    755, Loss  0.900984, Average Loss  0.870576, Time  0.180186
2021-09-11 02:10:27.423032 : Epoch  3, Batch    756, Loss  0.890785, Average Loss  0.870739, Time  0.172671
2021-09-11 02:10:28.047052 : Epoch  1, Batch    468, Loss  0.877235, Average Loss  0.900803, Time  0.249407
2021-09-11 02:10:29.033203 : Epoch  3, Batch    757, Loss  0.843891, Average Loss  0.870586, Time  0.169946
2021-09-11 02:10:30.655027 : Epoch  3, Batch    758, Loss  0.862588, Average Loss  0.870514, Time  0.169653
2021-09-11 02:10:30.679127 : Epoch  1, Batch    469, Loss  0.884488, Average Loss  0.900643, Time  0.243924
2021-09-11 02:10:32.256030 : Epoch  3, Batch    759, Loss  0.884825, Average Loss  0.870664, Time  0.170323
2021-09-11 02:10:33.305927 : Epoch  1, Batch    470, Loss  0.902588, Average Loss  0.900390, Time  0.241246
2021-09-11 02:10:33.889035 : Epoch  3, Batch    760, Loss  0.915999, Average Loss  0.871100, Time  0.169807
2021-09-11 02:10:35.509824 : Epoch  3, Batch    761, Loss  0.877352, Average Loss  0.871169, Time  0.176791
2021-09-11 02:10:36.010867 : Epoch  1, Batch    471, Loss  0.908020, Average Loss  0.900223, Time  0.309149
2021-09-11 02:10:37.127754 : Epoch  3, Batch    762, Loss  0.843376, Average Loss  0.870783, Time  0.173867
2021-09-11 02:10:38.766030 : Epoch  3, Batch    763, Loss  0.862697, Average Loss  0.870644, Time  0.173088
2021-09-11 02:10:40.394036 : Epoch  3, Batch    764, Loss  0.878404, Average Loss  0.870811, Time  0.174209
2021-09-11 02:10:41.461937 : Epoch  1, Batch    473, Loss  0.877098, Average Loss  0.899896, Time  0.320788
2021-09-11 02:10:41.787710 : CheckPoint: Validation Loss  0.00026254, Best Loss  0.00025998
2021-09-11 02:10:42.010850 : Epoch  3, Batch    765, Loss  0.865030, Average Loss  0.870576, Time  0.170536
2021-09-11 02:10:43.337887 : Epoch  2, Batch    314, Loss  0.614519, Average Loss  0.622611, Time  0.232958
2021-09-11 02:10:43.646787 : Epoch  3, Batch    766, Loss  0.857295, Average Loss  0.870393, Time  0.172161
2021-09-11 02:10:44.132421 : Epoch  1, Batch    474, Loss  0.884329, Average Loss  0.899728, Time  0.239496
2021-09-11 02:10:44.895088 : Epoch  2, Batch    315, Loss  0.624487, Average Loss  0.622585, Time  0.231569
2021-09-11 02:10:45.276033 : Epoch  3, Batch    767, Loss  0.885535, Average Loss  0.870461, Time  0.179425
2021-09-11 02:10:46.452427 : Epoch  2, Batch    316, Loss  0.623077, Average Loss  0.622512, Time  0.235379
2021-09-11 02:10:46.801351 : Epoch  1, Batch    475, Loss  0.891960, Average Loss  0.899514, Time  0.263242
2021-09-11 02:10:46.916031 : Epoch  3, Batch    768, Loss  0.858050, Average Loss  0.870328, Time  0.176241
2021-09-11 02:10:48.090394 : Epoch  2, Batch    317, Loss  0.615613, Average Loss  0.622426, Time  0.237304
2021-09-11 02:10:48.533029 : Epoch  3, Batch    769, Loss  0.897746, Average Loss  0.870371, Time  0.169427
2021-09-11 02:10:49.441826 : Epoch  1, Batch    476, Loss  0.858661, Average Loss  0.899243, Time  0.240034
2021-09-11 02:10:49.659056 : Epoch  2, Batch    318, Loss  0.610380, Average Loss  0.622378, Time  0.254501
2021-09-11 02:10:50.153035 : Epoch  3, Batch    770, Loss  0.846495, Average Loss  0.870232, Time  0.174700
2021-09-11 02:10:51.199489 : Epoch  2, Batch    319, Loss  0.636434, Average Loss  0.622398, Time  0.231615
2021-09-11 02:10:51.805829 : Epoch  3, Batch    771, Loss  0.846093, Average Loss  0.870136, Time  0.181713
2021-09-11 02:10:52.070407 : Epoch  1, Batch    477, Loss  0.905835, Average Loss  0.899177, Time  0.237625
2021-09-11 02:10:52.758482 : Epoch  2, Batch    320, Loss  0.615770, Average Loss  0.622342, Time  0.231075
2021-09-11 02:10:53.417046 : Epoch  3, Batch    772, Loss  0.856188, Average Loss  0.870198, Time  0.172079
2021-09-11 02:10:54.308861 : Epoch  2, Batch    321, Loss  0.617810, Average Loss  0.622302, Time  0.231636
2021-09-11 02:10:54.729318 : Epoch  1, Batch    478, Loss  0.862679, Average Loss  0.898817, Time  0.238088
2021-09-11 02:10:55.027026 : Epoch  3, Batch    773, Loss  0.888084, Average Loss  0.870187, Time  0.180645
2021-09-11 02:10:55.851971 : Epoch  2, Batch    322, Loss  0.622447, Average Loss  0.622328, Time  0.233497
2021-09-11 02:10:56.616034 : Epoch  3, Batch    774, Loss  0.876655, Average Loss  0.870193, Time  0.169922
2021-09-11 02:10:57.617379 : Epoch  1, Batch    479, Loss  0.888807, Average Loss  0.898578, Time  0.453945
2021-09-11 02:10:57.668452 : Epoch  2, Batch    323, Loss  0.608434, Average Loss  0.622272, Time  0.437914
2021-09-11 02:10:58.250794 : Epoch  3, Batch    775, Loss  0.872430, Average Loss  0.870306, Time  0.180860
2021-09-11 02:10:59.237940 : Epoch  2, Batch    324, Loss  0.614472, Average Loss  0.622216, Time  0.238506
2021-09-11 02:10:59.888034 : Epoch  3, Batch    776, Loss  0.860373, Average Loss  0.870128, Time  0.173586
2021-09-11 02:11:00.278392 : Epoch  1, Batch    480, Loss  0.905039, Average Loss  0.898474, Time  0.240295
2021-09-11 02:11:00.786225 : Epoch  2, Batch    325, Loss  0.619058, Average Loss  0.622156, Time  0.237224
2021-09-11 02:11:01.504809 : Epoch  3, Batch    777, Loss  0.860669, Average Loss  0.869925, Time  0.170250
2021-09-11 02:11:02.320921 : Epoch  2, Batch    326, Loss  0.611811, Average Loss  0.622099, Time  0.230908
2021-09-11 02:11:02.965196 : Epoch  1, Batch    481, Loss  0.868091, Average Loss  0.898266, Time  0.244509
2021-09-11 02:11:03.121858 : Epoch  3, Batch    778, Loss  0.863165, Average Loss  0.869909, Time  0.175557
2021-09-11 02:11:03.855435 : Epoch  2, Batch    327, Loss  0.627381, Average Loss  0.622098, Time  0.231019
2021-09-11 02:11:05.505884 : Epoch  2, Batch    328, Loss  0.622245, Average Loss  0.622108, Time  0.319509
2021-09-11 02:11:05.646011 : Epoch  1, Batch    482, Loss  0.873328, Average Loss  0.897926, Time  0.282326
2021-09-11 02:11:07.044212 : Epoch  2, Batch    329, Loss  0.608133, Average Loss  0.621986, Time  0.233640
2021-09-11 02:11:08.303944 : Epoch  1, Batch    483, Loss  0.896045, Average Loss  0.897782, Time  0.247376
2021-09-11 02:11:08.593990 : Epoch  2, Batch    330, Loss  0.627186, Average Loss  0.622002, Time  0.234531
2021-09-11 02:11:10.185610 : Epoch  2, Batch    331, Loss  0.623935, Average Loss  0.622049, Time  0.245537
2021-09-11 02:11:10.978964 : Epoch  1, Batch    484, Loss  0.893221, Average Loss  0.897776, Time  0.242465
2021-09-11 02:11:11.819965 : Epoch  2, Batch    332, Loss  0.633373, Average Loss  0.622085, Time  0.238297
2021-09-11 02:11:13.440405 : Epoch  2, Batch    333, Loss  0.627863, Average Loss  0.622094, Time  0.233686
2021-09-11 02:11:13.694197 : Epoch  1, Batch    485, Loss  0.879065, Average Loss  0.897623, Time  0.239859
2021-09-11 02:11:14.972787 : Epoch  2, Batch    334, Loss  0.612299, Average Loss  0.622007, Time  0.234850
2021-09-11 02:11:16.317858 : Epoch  1, Batch    486, Loss  0.851480, Average Loss  0.897241, Time  0.238185
2021-09-11 02:11:16.545157 : Epoch  2, Batch    335, Loss  0.620593, Average Loss  0.621982, Time  0.232008
2021-09-11 02:11:18.086454 : Epoch  2, Batch    336, Loss  0.615080, Average Loss  0.621942, Time  0.232890
2021-09-11 02:11:18.980242 : Epoch  1, Batch    487, Loss  0.884750, Average Loss  0.897154, Time  0.238401
2021-09-11 02:11:19.667284 : Epoch  2, Batch    337, Loss  0.619047, Average Loss  0.621915, Time  0.231196
2021-09-11 02:11:21.219940 : Epoch  2, Batch    338, Loss  0.627391, Average Loss  0.621993, Time  0.232174
2021-09-11 02:11:21.729884 : Epoch  1, Batch    488, Loss  0.902247, Average Loss  0.897085, Time  0.238273
2021-09-11 02:11:22.764103 : Epoch  2, Batch    339, Loss  0.611417, Average Loss  0.621891, Time  0.231062
2021-09-11 02:11:24.599405 : Epoch  2, Batch    340, Loss  0.616338, Average Loss  0.621854, Time  0.446774
2021-09-11 02:11:24.646680 : Epoch  1, Batch    489, Loss  0.890695, Average Loss  0.897009, Time  0.418367
2021-09-11 02:11:26.133254 : Epoch  2, Batch    341, Loss  0.615013, Average Loss  0.621818, Time  0.231663
2021-09-11 02:11:27.392492 : Epoch  1, Batch    490, Loss  0.881508, Average Loss  0.896776, Time  0.239447
2021-09-11 02:11:27.664595 : Epoch  2, Batch    342, Loss  0.622276, Average Loss  0.621829, Time  0.231035
2021-09-11 02:11:29.239368 : Epoch  2, Batch    343, Loss  0.620929, Average Loss  0.621788, Time  0.235328
2021-09-11 02:11:30.091063 : Epoch  1, Batch    491, Loss  0.898044, Average Loss  0.896661, Time  0.246114
2021-09-11 02:11:30.850847 : Epoch  2, Batch    344, Loss  0.624147, Average Loss  0.621787, Time  0.239067
2021-09-11 02:11:32.421950 : Epoch  2, Batch    345, Loss  0.629156, Average Loss  0.621786, Time  0.239360
2021-09-11 02:11:32.732746 : Epoch  1, Batch    492, Loss  0.856808, Average Loss  0.896355, Time  0.238170
2021-09-11 02:11:34.000427 : Epoch  2, Batch    346, Loss  0.605183, Average Loss  0.621718, Time  0.230879
2021-09-11 02:11:35.607832 : Epoch  1, Batch    493, Loss  0.875218, Average Loss  0.896110, Time  0.397556
2021-09-11 02:11:35.665170 : Epoch  2, Batch    347, Loss  0.621295, Average Loss  0.621713, Time  0.329455
2021-09-11 02:11:37.316954 : Epoch  2, Batch    348, Loss  0.631160, Average Loss  0.621702, Time  0.235365
2021-09-11 02:11:38.364847 : Epoch  1, Batch    494, Loss  0.865639, Average Loss  0.895820, Time  0.238113
2021-09-11 02:11:38.876369 : Epoch  2, Batch    349, Loss  0.626816, Average Loss  0.621748, Time  0.238663
2021-09-11 02:11:40.533899 : Epoch  2, Batch    350, Loss  0.602993, Average Loss  0.621656, Time  0.235366
2021-09-11 02:11:41.008890 : Epoch  1, Batch    495, Loss  0.876481, Average Loss  0.895605, Time  0.242135
2021-09-11 02:11:42.091536 : Epoch  2, Batch    351, Loss  0.609244, Average Loss  0.621595, Time  0.231656
2021-09-11 02:11:43.873876 : Epoch  2, Batch    352, Loss  0.612923, Average Loss  0.621560, Time  0.449166
2021-09-11 02:11:43.921441 : Epoch  1, Batch    496, Loss  0.886926, Average Loss  0.895419, Time  0.426101
2021-09-11 02:11:45.400391 : Epoch  2, Batch    353, Loss  0.619785, Average Loss  0.621572, Time  0.230635
2021-09-11 02:11:46.589869 : Epoch  1, Batch    497, Loss  0.891920, Average Loss  0.895327, Time  0.242029
2021-09-11 02:11:46.964923 : Epoch  2, Batch    354, Loss  0.626869, Average Loss  0.621565, Time  0.233336
2021-09-11 02:11:48.501375 : Epoch  2, Batch    355, Loss  0.615880, Average Loss  0.621518, Time  0.231028
2021-09-11 02:11:49.250807 : Epoch  1, Batch    498, Loss  0.892077, Average Loss  0.895214, Time  0.238599
2021-09-11 02:11:50.030920 : Epoch  2, Batch    356, Loss  0.620122, Average Loss  0.621505, Time  0.231297
2021-09-11 02:11:51.576099 : Epoch  2, Batch    357, Loss  0.616586, Average Loss  0.621462, Time  0.231387
2021-09-11 02:11:51.897891 : Epoch  1, Batch    499, Loss  0.881823, Average Loss  0.895075, Time  0.239860
2021-09-11 02:11:53.176920 : Epoch  2, Batch    358, Loss  0.616856, Average Loss  0.621468, Time  0.235089
2021-09-11 02:11:54.543861 : Epoch  1, Batch    500, Loss  0.907403, Average Loss  0.894997, Time  0.240949
2021-09-11 02:11:54.771436 : Epoch  2, Batch    359, Loss  0.615681, Average Loss  0.621422, Time  0.234371
2021-09-11 02:11:56.307843 : Epoch  2, Batch    360, Loss  0.618966, Average Loss  0.621450, Time  0.237273
2021-09-11 02:11:57.852929 : Epoch  2, Batch    361, Loss  0.615383, Average Loss  0.621422, Time  0.231434
2021-09-11 02:11:59.525052 : Epoch  2, Batch    362, Loss  0.620799, Average Loss  0.621451, Time  0.236041
2021-09-11 02:12:01.090959 : Epoch  2, Batch    363, Loss  0.615553, Average Loss  0.621423, Time  0.235984
2021-09-11 02:12:02.634109 : Epoch  2, Batch    364, Loss  0.619513, Average Loss  0.621365, Time  0.231477
2021-09-11 02:12:04.275276 : Epoch  2, Batch    365, Loss  0.629779, Average Loss  0.621425, Time  0.234897
2021-09-11 02:12:05.873404 : Epoch  2, Batch    366, Loss  0.618823, Average Loss  0.621381, Time  0.235134
2021-09-11 02:12:07.423194 : Epoch  2, Batch    367, Loss  0.618213, Average Loss  0.621356, Time  0.235711
2021-09-11 02:12:09.074954 : Epoch  2, Batch    368, Loss  0.622008, Average Loss  0.621343, Time  0.326014
2021-09-11 02:12:10.656910 : Epoch  2, Batch    369, Loss  0.621093, Average Loss  0.621323, Time  0.247381
2021-09-11 02:12:12.209424 : Epoch  2, Batch    370, Loss  0.625720, Average Loss  0.621280, Time  0.240974
2021-09-11 02:12:13.753950 : Epoch  2, Batch    371, Loss  0.622473, Average Loss  0.621277, Time  0.236001
2021-09-11 02:12:15.406189 : Epoch  2, Batch    372, Loss  0.621362, Average Loss  0.621246, Time  0.233583
2021-09-11 02:12:17.085897 : Epoch  2, Batch    373, Loss  0.617434, Average Loss  0.621242, Time  0.237776
2021-09-11 02:12:18.729857 : Epoch  2, Batch    374, Loss  0.622568, Average Loss  0.621252, Time  0.231440
2021-09-11 02:12:20.403134 : Epoch  2, Batch    375, Loss  0.624838, Average Loss  0.621269, Time  0.238946
2021-09-11 02:12:21.955064 : Epoch  2, Batch    376, Loss  0.624636, Average Loss  0.621312, Time  0.232172
2021-09-11 02:12:23.539241 : Epoch  2, Batch    377, Loss  0.620775, Average Loss  0.621348, Time  0.231998
2021-09-11 02:12:25.114508 : Epoch  2, Batch    378, Loss  0.621107, Average Loss  0.621318, Time  0.231770
2021-09-11 02:12:26.745877 : Epoch  2, Batch    379, Loss  0.624420, Average Loss  0.621375, Time  0.237566
2021-09-11 02:12:28.320211 : Epoch  2, Batch    380, Loss  0.617180, Average Loss  0.621417, Time  0.235669
2021-09-11 02:12:29.876356 : Epoch  2, Batch    381, Loss  0.628191, Average Loss  0.621423, Time  0.232524
2021-09-11 02:12:31.437120 : Epoch  2, Batch    382, Loss  0.626217, Average Loss  0.621426, Time  0.241179
2021-09-11 02:12:33.041816 : Epoch  2, Batch    383, Loss  0.617921, Average Loss  0.621418, Time  0.236066
2021-09-11 02:12:37.126375 : Epoch  2, Batch    384, Loss  0.622453, Average Loss  0.621370, Time  0.254693
2021-09-11 02:12:38.831258 : Epoch  2, Batch    385, Loss  0.615189, Average Loss  0.621257, Time  0.324635
2021-09-11 02:12:40.422002 : Epoch  2, Batch    386, Loss  0.624262, Average Loss  0.621253, Time  0.235410
2021-09-11 02:12:41.965501 : Epoch  2, Batch    387, Loss  0.621892, Average Loss  0.621241, Time  0.231235
2021-09-11 02:12:43.522893 : Epoch  2, Batch    388, Loss  0.637980, Average Loss  0.621369, Time  0.232661
2021-09-11 02:12:45.127132 : Epoch  2, Batch    389, Loss  0.614721, Average Loss  0.621319, Time  0.234748
2021-09-11 02:12:46.708847 : Epoch  2, Batch    390, Loss  0.612110, Average Loss  0.621296, Time  0.231949
2021-09-11 02:12:48.304912 : Epoch  2, Batch    391, Loss  0.619600, Average Loss  0.621339, Time  0.232170
2021-09-11 02:12:49.876885 : Epoch  2, Batch    392, Loss  0.631168, Average Loss  0.621348, Time  0.231736
2021-09-11 02:12:51.514293 : Epoch  2, Batch    393, Loss  0.619984, Average Loss  0.621434, Time  0.317246
2021-09-11 02:12:53.098023 : Epoch  2, Batch    394, Loss  0.619236, Average Loss  0.621406, Time  0.238938
2021-09-11 02:12:54.630844 : Epoch  2, Batch    395, Loss  0.620014, Average Loss  0.621411, Time  0.232232
2021-09-11 02:12:56.210076 : Epoch  2, Batch    396, Loss  0.618998, Average Loss  0.621381, Time  0.232271
2021-09-11 02:12:57.820245 : Epoch  2, Batch    397, Loss  0.612505, Average Loss  0.621310, Time  0.230943
2021-09-11 02:12:59.368034 : Epoch  2, Batch    398, Loss  0.615915, Average Loss  0.621306, Time  0.237495
2021-09-11 02:13:00.994316 : Epoch  2, Batch    399, Loss  0.626806, Average Loss  0.621312, Time  0.239264
2021-09-11 02:13:02.618392 : Epoch  2, Batch    400, Loss  0.622119, Average Loss  0.621312, Time  0.232295
2021-09-11 02:13:04.251842 : Epoch  2, Batch    401, Loss  0.627255, Average Loss  0.621295, Time  0.231565
2021-09-11 02:13:05.833855 : Epoch  2, Batch    402, Loss  0.620783, Average Loss  0.621271, Time  0.232466
2021-09-11 02:13:07.431218 : Epoch  2, Batch    403, Loss  0.625619, Average Loss  0.621306, Time  0.232932
2021-09-11 02:13:09.055076 : Epoch  2, Batch    404, Loss  0.623077, Average Loss  0.621309, Time  0.247096
2021-09-11 02:13:10.597140 : Epoch  2, Batch    405, Loss  0.629628, Average Loss  0.621329, Time  0.231288
2021-09-11 02:13:12.161797 : Epoch  2, Batch    406, Loss  0.616964, Average Loss  0.621310, Time  0.237870
2021-09-11 02:13:13.717868 : Epoch  2, Batch    407, Loss  0.606692, Average Loss  0.621224, Time  0.231775
2021-09-11 02:13:15.281193 : Epoch  2, Batch    408, Loss  0.614764, Average Loss  0.621197, Time  0.231844
2021-09-11 02:13:16.831415 : Epoch  2, Batch    409, Loss  0.610848, Average Loss  0.621161, Time  0.233188
2021-09-11 02:13:18.468060 : Epoch  2, Batch    410, Loss  0.629020, Average Loss  0.621191, Time  0.240813
2021-09-11 02:13:20.062182 : Epoch  2, Batch    411, Loss  0.616717, Average Loss  0.621079, Time  0.235208
2021-09-11 02:13:21.636928 : Epoch  2, Batch    412, Loss  0.627067, Average Loss  0.621156, Time  0.232255
2021-09-11 02:13:23.196426 : Epoch  2, Batch    413, Loss  0.618833, Average Loss  0.621133, Time  0.231507
2021-09-11 02:14:21.666066 : CheckPoint: Validation Loss  0.00026286, Best Loss  0.00025998
2021-09-11 02:14:23.240230 : Epoch  2, Batch    414, Loss  0.619660, Average Loss  0.621087, Time  0.235934
2021-09-11 02:14:24.842796 : Epoch  2, Batch    415, Loss  0.619557, Average Loss  0.621099, Time  0.231079
2021-09-11 02:14:26.409074 : Epoch  2, Batch    416, Loss  0.617403, Average Loss  0.621122, Time  0.234908
2021-09-11 02:14:27.972805 : Epoch  2, Batch    417, Loss  0.613257, Average Loss  0.621072, Time  0.232386
2021-09-11 02:14:29.535947 : Epoch  2, Batch    418, Loss  0.620102, Average Loss  0.621117, Time  0.243861
2021-09-11 02:14:31.268868 : Epoch  2, Batch    419, Loss  0.629476, Average Loss  0.621179, Time  0.312551
2021-09-11 02:14:32.845155 : Epoch  2, Batch    420, Loss  0.614369, Average Loss  0.621128, Time  0.231399
2021-09-11 02:14:34.415411 : Epoch  2, Batch    421, Loss  0.626108, Average Loss  0.621169, Time  0.231910
2021-09-11 02:14:36.000275 : Epoch  2, Batch    422, Loss  0.630697, Average Loss  0.621199, Time  0.232078
2021-09-11 02:14:37.580844 : Epoch  2, Batch    423, Loss  0.624455, Average Loss  0.621230, Time  0.232571
2021-09-11 02:14:39.125895 : Epoch  2, Batch    424, Loss  0.623176, Average Loss  0.621235, Time  0.235252
2021-09-11 02:14:40.659072 : Epoch  2, Batch    425, Loss  0.630668, Average Loss  0.621359, Time  0.231600
2021-09-11 02:14:42.261890 : Epoch  2, Batch    426, Loss  0.617099, Average Loss  0.621274, Time  0.234337
2021-09-11 02:14:43.825412 : Epoch  2, Batch    427, Loss  0.617038, Average Loss  0.621241, Time  0.260469
2021-09-11 02:14:45.378032 : Epoch  2, Batch    428, Loss  0.621507, Average Loss  0.621238, Time  0.235784
2021-09-11 02:14:46.950828 : Epoch  2, Batch    429, Loss  0.608451, Average Loss  0.621172, Time  0.235374
2021-09-11 02:14:48.497119 : Epoch  2, Batch    430, Loss  0.605249, Average Loss  0.621118, Time  0.231820
2021-09-11 02:14:50.060893 : Epoch  2, Batch    431, Loss  0.627463, Average Loss  0.621131, Time  0.233628
2021-09-11 02:14:51.612169 : Epoch  2, Batch    432, Loss  0.636038, Average Loss  0.621179, Time  0.231527
2021-09-11 02:14:53.162364 : Epoch  2, Batch    433, Loss  0.608983, Average Loss  0.621093, Time  0.234977
2021-09-11 02:14:54.795835 : Epoch  2, Batch    434, Loss  0.620294, Average Loss  0.621078, Time  0.234684
2021-09-11 02:14:56.334502 : Epoch  2, Batch    435, Loss  0.622122, Average Loss  0.621043, Time  0.231322
2021-09-11 02:14:57.879886 : Epoch  2, Batch    436, Loss  0.623332, Average Loss  0.621097, Time  0.231369
2021-09-11 02:14:59.541380 : Epoch  2, Batch    437, Loss  0.625551, Average Loss  0.621163, Time  0.236569
2021-09-11 02:15:01.162962 : Epoch  2, Batch    438, Loss  0.629242, Average Loss  0.621202, Time  0.244895
2021-09-11 02:15:02.760409 : Epoch  2, Batch    439, Loss  0.613084, Average Loss  0.621138, Time  0.239788
2021-09-11 02:15:04.305663 : Epoch  2, Batch    440, Loss  0.606851, Average Loss  0.621066, Time  0.231562
2021-09-11 02:15:05.934432 : Epoch  2, Batch    441, Loss  0.627004, Average Loss  0.621071, Time  0.231184
2021-09-11 02:15:07.469051 : Epoch  2, Batch    442, Loss  0.617106, Average Loss  0.621007, Time  0.231195
2021-09-11 02:15:09.009003 : Epoch  2, Batch    443, Loss  0.618580, Average Loss  0.620945, Time  0.235089
2021-09-11 02:15:10.641818 : Epoch  2, Batch    444, Loss  0.609398, Average Loss  0.620903, Time  0.233670
2021-09-11 02:15:12.213091 : Epoch  2, Batch    445, Loss  0.618348, Average Loss  0.620832, Time  0.234047
2021-09-11 02:15:13.800940 : Epoch  2, Batch    446, Loss  0.616516, Average Loss  0.620816, Time  0.231589
2021-09-11 02:15:15.361119 : Epoch  2, Batch    447, Loss  0.618233, Average Loss  0.620802, Time  0.231561
2021-09-11 02:15:16.982905 : Epoch  2, Batch    448, Loss  0.622468, Average Loss  0.620775, Time  0.243662
2021-09-11 02:15:18.611872 : Epoch  2, Batch    449, Loss  0.603651, Average Loss  0.620671, Time  0.313148
2021-09-11 02:15:20.231022 : Epoch  2, Batch    450, Loss  0.613096, Average Loss  0.620636, Time  0.238621
2021-09-11 02:15:21.787378 : Epoch  2, Batch    451, Loss  0.616813, Average Loss  0.620643, Time  0.230731
2021-09-11 02:15:23.359496 : Epoch  2, Batch    452, Loss  0.624739, Average Loss  0.620676, Time  0.235695
2021-09-11 02:15:24.890030 : Epoch  2, Batch    453, Loss  0.617289, Average Loss  0.620666, Time  0.236424
2021-09-11 02:15:26.506997 : Epoch  2, Batch    454, Loss  0.635574, Average Loss  0.620740, Time  0.240433
2021-09-11 02:15:28.064885 : Epoch  2, Batch    455, Loss  0.628542, Average Loss  0.620787, Time  0.231416
2021-09-11 02:15:29.667971 : Epoch  2, Batch    456, Loss  0.613381, Average Loss  0.620710, Time  0.231557
2021-09-11 02:15:31.298431 : Epoch  2, Batch    457, Loss  0.612947, Average Loss  0.620688, Time  0.316141
2021-09-11 02:15:32.891059 : Epoch  2, Batch    458, Loss  0.622730, Average Loss  0.620699, Time  0.235443
2021-09-11 02:15:34.589880 : Epoch  2, Batch    459, Loss  0.619580, Average Loss  0.620710, Time  0.237319
2021-09-11 02:15:36.277018 : Epoch  2, Batch    460, Loss  0.618357, Average Loss  0.620706, Time  0.312842
2021-09-11 02:15:38.003443 : Epoch  2, Batch    461, Loss  0.607691, Average Loss  0.620601, Time  0.240941
2021-09-11 02:15:39.576440 : Epoch  2, Batch    462, Loss  0.614199, Average Loss  0.620550, Time  0.233497
2021-09-11 02:15:41.265363 : Epoch  2, Batch    463, Loss  0.621321, Average Loss  0.620542, Time  0.276544
2021-09-11 02:15:42.820325 : Epoch  2, Batch    464, Loss  0.622279, Average Loss  0.620573, Time  0.231213
2021-09-11 02:15:43.709726 : CheckPoint: Validation Loss  0.00061647, Best Loss  0.00057296
2021-09-11 02:15:44.349884 : Epoch  2, Batch    465, Loss  0.619722, Average Loss  0.620598, Time  0.234220
2021-09-11 02:15:45.337952 : Epoch  3, Batch    779, Loss  0.893770, Average Loss  0.870182, Time  0.179233
2021-09-11 02:15:45.969364 : Epoch  2, Batch    466, Loss  0.623344, Average Loss  0.620648, Time  0.234765
2021-09-11 02:15:46.968934 : Epoch  3, Batch    780, Loss  0.887057, Average Loss  0.870227, Time  0.176336
2021-09-11 02:15:47.532375 : Epoch  2, Batch    467, Loss  0.615195, Average Loss  0.620607, Time  0.236632
2021-09-11 02:15:48.595998 : Epoch  3, Batch    781, Loss  0.890162, Average Loss  0.870267, Time  0.177216
2021-09-11 02:15:49.055043 : Epoch  2, Batch    468, Loss  0.617909, Average Loss  0.620558, Time  0.233355
2021-09-11 02:15:50.226019 : Epoch  3, Batch    782, Loss  0.862597, Average Loss  0.870237, Time  0.170039
2021-09-11 02:15:50.597346 : Epoch  2, Batch    469, Loss  0.630263, Average Loss  0.620528, Time  0.235730
2021-09-11 02:15:51.841866 : Epoch  3, Batch    783, Loss  0.851903, Average Loss  0.870033, Time  0.174468
2021-09-11 02:15:52.168294 : Epoch  2, Batch    470, Loss  0.618129, Average Loss  0.620472, Time  0.234193
2021-09-11 02:15:53.465038 : Epoch  3, Batch    784, Loss  0.865472, Average Loss  0.869955, Time  0.173386
2021-09-11 02:15:53.750415 : Epoch  2, Batch    471, Loss  0.622971, Average Loss  0.620447, Time  0.237713
2021-09-11 02:15:55.072027 : Epoch  3, Batch    785, Loss  0.877373, Average Loss  0.870015, Time  0.169920
2021-09-11 02:15:55.383537 : Epoch  2, Batch    472, Loss  0.613955, Average Loss  0.620408, Time  0.241992
2021-09-11 02:15:56.692026 : Epoch  3, Batch    786, Loss  0.881335, Average Loss  0.870031, Time  0.171057
2021-09-11 02:15:56.935387 : Epoch  2, Batch    473, Loss  0.615849, Average Loss  0.620355, Time  0.231658
2021-09-11 02:15:58.330760 : Epoch  3, Batch    787, Loss  0.861049, Average Loss  0.870083, Time  0.172052
2021-09-11 02:15:58.578357 : Epoch  2, Batch    474, Loss  0.614009, Average Loss  0.620240, Time  0.312562
2021-09-11 02:15:59.960023 : Epoch  3, Batch    788, Loss  0.851782, Average Loss  0.870138, Time  0.176316
2021-09-11 02:16:00.158135 : Epoch  2, Batch    475, Loss  0.619323, Average Loss  0.620243, Time  0.239828
2021-09-11 02:16:01.566026 : Epoch  3, Batch    789, Loss  0.877791, Average Loss  0.870284, Time  0.170428
2021-09-11 02:16:01.745895 : Epoch  2, Batch    476, Loss  0.623661, Average Loss  0.620245, Time  0.231556
2021-09-11 02:16:03.178029 : Epoch  3, Batch    790, Loss  0.871970, Average Loss  0.870352, Time  0.170776
2021-09-11 02:16:03.429966 : Epoch  2, Batch    477, Loss  0.622144, Average Loss  0.620236, Time  0.351600
2021-09-11 02:16:04.792903 : Epoch  3, Batch    791, Loss  0.878356, Average Loss  0.870246, Time  0.173435
2021-09-11 02:16:05.128743 : Epoch  2, Batch    478, Loss  0.626899, Average Loss  0.620296, Time  0.270816
2021-09-11 02:16:06.427032 : Epoch  3, Batch    792, Loss  0.860643, Average Loss  0.870229, Time  0.176921
2021-09-11 02:16:06.676089 : Epoch  2, Batch    479, Loss  0.613870, Average Loss  0.620262, Time  0.242778
2021-09-11 02:16:07.460503 : CheckPoint: Validation Loss  0.00030211, Best Loss  0.00029681
2021-09-11 02:16:08.034050 : Epoch  3, Batch    793, Loss  0.861088, Average Loss  0.870085, Time  0.176376
2021-09-11 02:16:08.280995 : Epoch  2, Batch    480, Loss  0.616484, Average Loss  0.620210, Time  0.237267
2021-09-11 02:16:09.638024 : Epoch  3, Batch    794, Loss  0.881431, Average Loss  0.870217, Time  0.172678
2021-09-11 02:16:09.843452 : Epoch  2, Batch    481, Loss  0.616595, Average Loss  0.620151, Time  0.238445
2021-09-11 02:16:10.137946 : Epoch  1, Batch    501, Loss  0.891959, Average Loss  0.894978, Time  0.242870
2021-09-11 02:16:11.246852 : Epoch  3, Batch    795, Loss  0.892760, Average Loss  0.870476, Time  0.169961
2021-09-11 02:16:11.460084 : Epoch  2, Batch    482, Loss  0.633700, Average Loss  0.620190, Time  0.238337
2021-09-11 02:16:12.776975 : Epoch  1, Batch    502, Loss  0.895213, Average Loss  0.894969, Time  0.245016
2021-09-11 02:16:12.854040 : Epoch  3, Batch    796, Loss  0.841432, Average Loss  0.870207, Time  0.170213
2021-09-11 02:16:13.016164 : Epoch  2, Batch    483, Loss  0.620680, Average Loss  0.620174, Time  0.232524
2021-09-11 02:16:14.447874 : Epoch  3, Batch    797, Loss  0.859212, Average Loss  0.870262, Time  0.172082
2021-09-11 02:16:15.442533 : Epoch  1, Batch    503, Loss  0.908303, Average Loss  0.895000, Time  0.241615
2021-09-11 02:16:16.077029 : Epoch  3, Batch    798, Loss  0.869298, Average Loss  0.870413, Time  0.176567
2021-09-11 02:16:17.153875 : Epoch  2, Batch    484, Loss  0.615630, Average Loss  0.620169, Time  0.234494
2021-09-11 02:16:17.720031 : Epoch  3, Batch    799, Loss  0.847407, Average Loss  0.870376, Time  0.173300
2021-09-11 02:16:18.115411 : Epoch  1, Batch    504, Loss  0.886025, Average Loss  0.894833, Time  0.238894
2021-09-11 02:16:18.717456 : Epoch  2, Batch    485, Loss  0.616831, Average Loss  0.620189, Time  0.234616
2021-09-11 02:16:19.348032 : Epoch  3, Batch    800, Loss  0.874827, Average Loss  0.870251, Time  0.171796
2021-09-11 02:16:20.293807 : Epoch  2, Batch    486, Loss  0.615299, Average Loss  0.620106, Time  0.235203
2021-09-11 02:16:20.845854 : Epoch  1, Batch    505, Loss  0.884896, Average Loss  0.894613, Time  0.237914
2021-09-11 02:16:20.955854 : Epoch  3, Batch    801, Loss  0.868069, Average Loss  0.870211, Time  0.171551
2021-09-11 02:16:21.850085 : Epoch  2, Batch    487, Loss  0.614929, Average Loss  0.620096, Time  0.236637
2021-09-11 02:16:22.569785 : Epoch  3, Batch    802, Loss  0.851238, Average Loss  0.870100, Time  0.173830
2021-09-11 02:16:23.730511 : Epoch  2, Batch    488, Loss  0.618289, Average Loss  0.620081, Time  0.454926
2021-09-11 02:16:23.782287 : Epoch  1, Batch    506, Loss  0.869222, Average Loss  0.894306, Time  0.494652
2021-09-11 02:16:24.174766 : Epoch  3, Batch    803, Loss  0.859990, Average Loss  0.869920, Time  0.175268
2021-09-11 02:16:25.313595 : Epoch  2, Batch    489, Loss  0.623509, Average Loss  0.620047, Time  0.234073
2021-09-11 02:16:25.792029 : Epoch  3, Batch    804, Loss  0.840050, Average Loss  0.869823, Time  0.169573
2021-09-11 02:16:26.543873 : Epoch  1, Batch    507, Loss  0.892902, Average Loss  0.894243, Time  0.240411
2021-09-11 02:16:26.898904 : Epoch  2, Batch    490, Loss  0.619881, Average Loss  0.620027, Time  0.239243
2021-09-11 02:16:27.406765 : Epoch  3, Batch    805, Loss  0.850428, Average Loss  0.869825, Time  0.170662
2021-09-11 02:16:28.561406 : Epoch  2, Batch    491, Loss  0.622518, Average Loss  0.620009, Time  0.245084
2021-09-11 02:16:29.030041 : Epoch  3, Batch    806, Loss  0.872593, Average Loss  0.869606, Time  0.170970
2021-09-11 02:16:29.260095 : Epoch  1, Batch    508, Loss  0.889161, Average Loss  0.894215, Time  0.238971
2021-09-11 02:16:30.131097 : Epoch  2, Batch    492, Loss  0.621640, Average Loss  0.619999, Time  0.235881
2021-09-11 02:16:30.683029 : Epoch  3, Batch    807, Loss  0.868941, Average Loss  0.869739, Time  0.183773
2021-09-11 02:16:31.745981 : Epoch  2, Batch    493, Loss  0.615779, Average Loss  0.620016, Time  0.289259
2021-09-11 02:16:31.901441 : Epoch  1, Batch    509, Loss  0.899876, Average Loss  0.894162, Time  0.256401
2021-09-11 02:16:32.297814 : Epoch  3, Batch    808, Loss  0.861481, Average Loss  0.869655, Time  0.170107
2021-09-11 02:16:33.301814 : Epoch  2, Batch    494, Loss  0.610431, Average Loss  0.619933, Time  0.235863
2021-09-11 02:16:33.957031 : Epoch  3, Batch    809, Loss  0.886655, Average Loss  0.869772, Time  0.185003
2021-09-11 02:16:34.567962 : Epoch  1, Batch    510, Loss  0.886795, Average Loss  0.893969, Time  0.238947
2021-09-11 02:16:34.877442 : Epoch  2, Batch    495, Loss  0.620163, Average Loss  0.619928, Time  0.234684
2021-09-11 02:16:35.570110 : Epoch  3, Batch    810, Loss  0.847786, Average Loss  0.869566, Time  0.177747
2021-09-11 02:16:36.435942 : Epoch  2, Batch    496, Loss  0.616982, Average Loss  0.619838, Time  0.236143
2021-09-11 02:16:37.164055 : Epoch  3, Batch    811, Loss  0.880039, Average Loss  0.869819, Time  0.171412
2021-09-11 02:16:37.183400 : Epoch  1, Batch    511, Loss  0.909670, Average Loss  0.893959, Time  0.240099
2021-09-11 02:16:38.049959 : Epoch  2, Batch    497, Loss  0.613607, Average Loss  0.619762, Time  0.231398
2021-09-11 02:16:38.768035 : Epoch  3, Batch    812, Loss  0.917226, Average Loss  0.870045, Time  0.173685
2021-09-11 02:16:39.575218 : Epoch  2, Batch    498, Loss  0.610941, Average Loss  0.619746, Time  0.231335
2021-09-11 02:16:40.015902 : Epoch  1, Batch    512, Loss  0.874532, Average Loss  0.893718, Time  0.267628
2021-09-11 02:16:40.391797 : Epoch  3, Batch    813, Loss  0.863393, Average Loss  0.870043, Time  0.177986
2021-09-11 02:16:41.136876 : Epoch  2, Batch    499, Loss  0.622256, Average Loss  0.619752, Time  0.234511
2021-09-11 02:16:42.029781 : Epoch  3, Batch    814, Loss  0.877169, Average Loss  0.869895, Time  0.174914
2021-09-11 02:16:42.909773 : Epoch  2, Batch    500, Loss  0.621489, Average Loss  0.619747, Time  0.368285
2021-09-11 02:16:43.026970 : Epoch  1, Batch    513, Loss  0.897991, Average Loss  0.893497, Time  0.340727
2021-09-11 02:16:43.641833 : Epoch  3, Batch    815, Loss  0.851719, Average Loss  0.869793, Time  0.174791
2021-09-11 02:16:44.464343 : Epoch  2, Batch    501, Loss  0.615656, Average Loss  0.619719, Time  0.231685
2021-09-11 02:16:45.247103 : Epoch  3, Batch    816, Loss  0.866897, Average Loss  0.869771, Time  0.176999
2021-09-11 02:16:45.701939 : Epoch  1, Batch    514, Loss  0.879696, Average Loss  0.893379, Time  0.240220
2021-09-11 02:16:46.118889 : Epoch  2, Batch    502, Loss  0.616280, Average Loss  0.619701, Time  0.234026
2021-09-11 02:16:46.844923 : Epoch  3, Batch    817, Loss  0.874823, Average Loss  0.869780, Time  0.178321
2021-09-11 02:16:47.667435 : Epoch  2, Batch    503, Loss  0.615419, Average Loss  0.619696, Time  0.231696
2021-09-11 02:16:48.449828 : Epoch  3, Batch    818, Loss  0.878204, Average Loss  0.869828, Time  0.172079
2021-09-11 02:16:48.456077 : Epoch  1, Batch    515, Loss  0.885309, Average Loss  0.893305, Time  0.259974
2021-09-11 02:16:49.230158 : Epoch  2, Batch    504, Loss  0.614333, Average Loss  0.619658, Time  0.231605
2021-09-11 02:16:50.062043 : Epoch  3, Batch    819, Loss  0.852917, Average Loss  0.869628, Time  0.173626
2021-09-11 02:16:50.787135 : Epoch  2, Batch    505, Loss  0.620634, Average Loss  0.619632, Time  0.233634
2021-09-11 02:16:51.322974 : Epoch  1, Batch    516, Loss  0.882323, Average Loss  0.893186, Time  0.254116
2021-09-11 02:16:51.651021 : Epoch  3, Batch    820, Loss  0.917012, Average Loss  0.869866, Time  0.170261
2021-09-11 02:16:52.462301 : Epoch  2, Batch    506, Loss  0.599925, Average Loss  0.619561, Time  0.232927
2021-09-11 02:16:53.275774 : Epoch  3, Batch    821, Loss  0.867859, Average Loss  0.869669, Time  0.174295
2021-09-11 02:16:54.194190 : Epoch  2, Batch    507, Loss  0.623932, Average Loss  0.619558, Time  0.404036
2021-09-11 02:16:54.233500 : Epoch  1, Batch    517, Loss  0.883145, Average Loss  0.893066, Time  0.451087
2021-09-11 02:16:54.903026 : Epoch  3, Batch    822, Loss  0.884207, Average Loss  0.869818, Time  0.170215
2021-09-11 02:16:55.740750 : Epoch  2, Batch    508, Loss  0.622048, Average Loss  0.619555, Time  0.233273
2021-09-11 02:16:56.524024 : Epoch  3, Batch    823, Loss  0.859084, Average Loss  0.869789, Time  0.175867
2021-09-11 02:16:56.973942 : Epoch  1, Batch    518, Loss  0.865949, Average Loss  0.892855, Time  0.246359
2021-09-11 02:16:57.352936 : Epoch  2, Batch    509, Loss  0.620756, Average Loss  0.619656, Time  0.232925
2021-09-11 02:16:58.155740 : Epoch  3, Batch    824, Loss  0.859541, Average Loss  0.869665, Time  0.189454
2021-09-11 02:16:58.913537 : Epoch  2, Batch    510, Loss  0.621145, Average Loss  0.619689, Time  0.243658
2021-09-11 02:16:59.717219 : Epoch  1, Batch    519, Loss  0.884258, Average Loss  0.892677, Time  0.239170
2021-09-11 02:16:59.764022 : Epoch  3, Batch    825, Loss  0.848790, Average Loss  0.869622, Time  0.178511
2021-09-11 02:17:00.541910 : Epoch  2, Batch    511, Loss  0.622167, Average Loss  0.619670, Time  0.243485
2021-09-11 02:17:01.400844 : Epoch  3, Batch    826, Loss  0.863472, Average Loss  0.869550, Time  0.172774
2021-09-11 02:17:02.085950 : Epoch  2, Batch    512, Loss  0.624178, Average Loss  0.619664, Time  0.234288
2021-09-11 02:17:02.479375 : Epoch  1, Batch    520, Loss  0.883950, Average Loss  0.892601, Time  0.239809
2021-09-11 02:17:03.024940 : Epoch  3, Batch    827, Loss  0.862021, Average Loss  0.869543, Time  0.171933
2021-09-11 02:17:03.651991 : Epoch  2, Batch    513, Loss  0.622987, Average Loss  0.619661, Time  0.235352
2021-09-11 02:17:04.640767 : Epoch  3, Batch    828, Loss  0.852233, Average Loss  0.869378, Time  0.174970
2021-09-11 02:17:05.158945 : Epoch  1, Batch    521, Loss  0.874868, Average Loss  0.892507, Time  0.243123
2021-09-11 02:17:06.275022 : Epoch  3, Batch    829, Loss  0.860407, Average Loss  0.869216, Time  0.176731
2021-09-11 02:17:07.857883 : Epoch  1, Batch    522, Loss  0.884124, Average Loss  0.892430, Time  0.243252
2021-09-11 02:17:07.892042 : Epoch  3, Batch    830, Loss  0.875372, Average Loss  0.869337, Time  0.170968
2021-09-11 02:17:09.494026 : Epoch  3, Batch    831, Loss  0.876672, Average Loss  0.869443, Time  0.171817
2021-09-11 02:17:10.549864 : Epoch  1, Batch    523, Loss  0.865674, Average Loss  0.892260, Time  0.238544
2021-09-11 02:17:11.145743 : Epoch  3, Batch    832, Loss  0.845810, Average Loss  0.869218, Time  0.174887
2021-09-11 02:17:12.780027 : Epoch  3, Batch    833, Loss  0.880473, Average Loss  0.869166, Time  0.170524
2021-09-11 02:17:13.286422 : Epoch  1, Batch    524, Loss  0.872980, Average Loss  0.892089, Time  0.324174
2021-09-11 02:17:14.378729 : Epoch  3, Batch    834, Loss  0.867638, Average Loss  0.869265, Time  0.170092
2021-09-11 02:17:15.989035 : Epoch  3, Batch    835, Loss  0.881773, Average Loss  0.869428, Time  0.178897
2021-09-11 02:17:16.046889 : Epoch  1, Batch    525, Loss  0.876216, Average Loss  0.891833, Time  0.321486
2021-09-11 02:17:17.609042 : Epoch  3, Batch    836, Loss  0.852930, Average Loss  0.869276, Time  0.170249
2021-09-11 02:17:18.797796 : Epoch  1, Batch    526, Loss  0.909311, Average Loss  0.891757, Time  0.322340
2021-09-11 02:17:19.218744 : Epoch  3, Batch    837, Loss  0.886487, Average Loss  0.869199, Time  0.172330
2021-09-11 02:17:20.862025 : Epoch  3, Batch    838, Loss  0.909910, Average Loss  0.869382, Time  0.174948
2021-09-11 02:17:21.581432 : Epoch  1, Batch    527, Loss  0.888475, Average Loss  0.891573, Time  0.265472
2021-09-11 02:17:22.483742 : Epoch  3, Batch    839, Loss  0.880829, Average Loss  0.869403, Time  0.173771
2021-09-11 02:17:24.111842 : Epoch  3, Batch    840, Loss  0.871852, Average Loss  0.869506, Time  0.173320
2021-09-11 02:17:24.313989 : Epoch  1, Batch    528, Loss  0.866682, Average Loss  0.891416, Time  0.239309
2021-09-11 02:17:25.707031 : Epoch  3, Batch    841, Loss  0.866874, Average Loss  0.869564, Time  0.169927
2021-09-11 02:17:26.956325 : Epoch  1, Batch    529, Loss  0.884572, Average Loss  0.891354, Time  0.241362
2021-09-11 02:17:27.376844 : Epoch  3, Batch    842, Loss  0.894313, Average Loss  0.869715, Time  0.181431
2021-09-11 02:17:29.012031 : Epoch  3, Batch    843, Loss  0.855158, Average Loss  0.869682, Time  0.179687
2021-09-11 02:17:29.723431 : Epoch  1, Batch    530, Loss  0.886143, Average Loss  0.891254, Time  0.240364
2021-09-11 02:17:30.627034 : Epoch  3, Batch    844, Loss  0.915316, Average Loss  0.869881, Time  0.170870
2021-09-11 02:17:32.239030 : Epoch  3, Batch    845, Loss  0.905171, Average Loss  0.870082, Time  0.171239
2021-09-11 02:17:32.410685 : Epoch  1, Batch    531, Loss  0.888484, Average Loss  0.891068, Time  0.239518
2021-09-11 02:17:33.815806 : Epoch  3, Batch    846, Loss  0.897673, Average Loss  0.870065, Time  0.172895
2021-09-11 02:17:35.114935 : Epoch  1, Batch    532, Loss  0.912697, Average Loss  0.891089, Time  0.241378
2021-09-11 02:17:35.418044 : Epoch  3, Batch    847, Loss  0.867422, Average Loss  0.870063, Time  0.171270
2021-09-11 02:17:37.048030 : Epoch  3, Batch    848, Loss  0.864924, Average Loss  0.870110, Time  0.173851
2021-09-11 02:17:37.776931 : Epoch  1, Batch    533, Loss  0.894450, Average Loss  0.891085, Time  0.247253
2021-09-11 02:17:38.651035 : Epoch  3, Batch    849, Loss  0.842278, Average Loss  0.869947, Time  0.170254
2021-09-11 02:17:40.254763 : Epoch  3, Batch    850, Loss  0.887293, Average Loss  0.870075, Time  0.175507
2021-09-11 02:17:40.449813 : Epoch  1, Batch    534, Loss  0.871900, Average Loss  0.890813, Time  0.238606
2021-09-11 02:17:41.890918 : Epoch  3, Batch    851, Loss  0.868021, Average Loss  0.870208, Time  0.171085
2021-09-11 02:17:43.151837 : Epoch  1, Batch    535, Loss  0.897891, Average Loss  0.890768, Time  0.317818
2021-09-11 02:17:43.497037 : Epoch  3, Batch    852, Loss  0.824687, Average Loss  0.870101, Time  0.172175
2021-09-11 02:17:45.138021 : Epoch  3, Batch    853, Loss  0.872382, Average Loss  0.870151, Time  0.175562
2021-09-11 02:17:45.872400 : Epoch  1, Batch    536, Loss  0.885075, Average Loss  0.890656, Time  0.320310
2021-09-11 02:17:46.814027 : Epoch  3, Batch    854, Loss  0.837974, Average Loss  0.870048, Time  0.170075
2021-09-11 02:17:48.433035 : Epoch  3, Batch    855, Loss  0.878599, Average Loss  0.870054, Time  0.170636
2021-09-11 02:17:48.618718 : Epoch  1, Batch    537, Loss  0.879578, Average Loss  0.890534, Time  0.319553
2021-09-11 02:17:50.030068 : Epoch  3, Batch    856, Loss  0.895673, Average Loss  0.870203, Time  0.170663
2021-09-11 02:17:51.377869 : Epoch  1, Batch    538, Loss  0.885088, Average Loss  0.890531, Time  0.325142
2021-09-11 02:17:51.634045 : Epoch  3, Batch    857, Loss  0.880917, Average Loss  0.870340, Time  0.177676
2021-09-11 02:17:53.254032 : Epoch  3, Batch    858, Loss  0.834924, Average Loss  0.870104, Time  0.176847
2021-09-11 02:17:54.085734 : Epoch  1, Batch    539, Loss  0.881817, Average Loss  0.890465, Time  0.318559
2021-09-11 02:17:54.877028 : Epoch  3, Batch    859, Loss  0.848008, Average Loss  0.870049, Time  0.174649
2021-09-11 02:17:56.488746 : Epoch  3, Batch    860, Loss  0.853694, Average Loss  0.870176, Time  0.173149
2021-09-11 02:17:56.828918 : Epoch  1, Batch    540, Loss  0.899028, Average Loss  0.890525, Time  0.324900
2021-09-11 02:17:58.115846 : Epoch  3, Batch    861, Loss  0.865675, Average Loss  0.870030, Time  0.170603
2021-09-11 02:17:59.619870 : Epoch  1, Batch    541, Loss  0.877383, Average Loss  0.890316, Time  0.319002
2021-09-11 02:17:59.738813 : Epoch  3, Batch    862, Loss  0.880258, Average Loss  0.869932, Time  0.179000
2021-09-11 02:18:01.368028 : Epoch  3, Batch    863, Loss  0.863619, Average Loss  0.869852, Time  0.174902
2021-09-11 02:18:02.320182 : Epoch  1, Batch    542, Loss  0.874103, Average Loss  0.890177, Time  0.317250
2021-09-11 02:18:02.675776 : CheckPoint: Validation Loss  0.00025336, Best Loss  0.00025336
2021-09-11 02:18:02.724588 : Best Model Updated
2021-09-11 02:18:02.994923 : Epoch  3, Batch    864, Loss  0.847288, Average Loss  0.869808, Time  0.171543
2021-09-11 02:18:04.632033 : Epoch  3, Batch    865, Loss  0.886486, Average Loss  0.869955, Time  0.171445
2021-09-11 02:18:05.003890 : Epoch  1, Batch    543, Loss  0.893365, Average Loss  0.890131, Time  0.262507
2021-09-11 02:18:05.411812 : Epoch  2, Batch    514, Loss  0.620386, Average Loss  0.619690, Time  0.237364
2021-09-11 02:18:06.241778 : Epoch  3, Batch    866, Loss  0.848863, Average Loss  0.869727, Time  0.177274
2021-09-11 02:18:07.052340 : Epoch  2, Batch    515, Loss  0.616221, Average Loss  0.619649, Time  0.232588
2021-09-11 02:18:07.791491 : Epoch  1, Batch    544, Loss  0.894388, Average Loss  0.890127, Time  0.242140
2021-09-11 02:18:07.837772 : Epoch  3, Batch    867, Loss  0.857833, Average Loss  0.869782, Time  0.174064
2021-09-11 02:18:08.584945 : Epoch  2, Batch    516, Loss  0.612472, Average Loss  0.619596, Time  0.234757
2021-09-11 02:18:09.439030 : Epoch  3, Batch    868, Loss  0.878671, Average Loss  0.869767, Time  0.182124
2021-09-11 02:18:10.232429 : Epoch  2, Batch    517, Loss  0.610749, Average Loss  0.619571, Time  0.232106
2021-09-11 02:18:10.460452 : Epoch  1, Batch    545, Loss  0.887680, Average Loss  0.890024, Time  0.245557
2021-09-11 02:18:11.023023 : Epoch  3, Batch    869, Loss  0.884530, Average Loss  0.869728, Time  0.170237
2021-09-11 02:18:11.780851 : Epoch  2, Batch    518, Loss  0.618361, Average Loss  0.619611, Time  0.233537
2021-09-11 02:18:12.618020 : Epoch  3, Batch    870, Loss  0.872887, Average Loss  0.869933, Time  0.171972
2021-09-11 02:18:13.109455 : Epoch  1, Batch    546, Loss  0.876975, Average Loss  0.890018, Time  0.237912
2021-09-11 02:18:13.353396 : Epoch  2, Batch    519, Loss  0.610172, Average Loss  0.619480, Time  0.235999
2021-09-11 02:18:14.218838 : Epoch  3, Batch    871, Loss  0.827132, Average Loss  0.869587, Time  0.170490
2021-09-11 02:18:14.936135 : Epoch  2, Batch    520, Loss  0.604274, Average Loss  0.619422, Time  0.237629
2021-09-11 02:18:15.829031 : Epoch  3, Batch    872, Loss  0.826221, Average Loss  0.869408, Time  0.171850
2021-09-11 02:18:16.522105 : Epoch  2, Batch    521, Loss  0.616530, Average Loss  0.619416, Time  0.234912
2021-09-11 02:18:17.478027 : Epoch  3, Batch    873, Loss  0.866943, Average Loss  0.869346, Time  0.169881
2021-09-11 02:18:18.112045 : Epoch  2, Batch    522, Loss  0.615133, Average Loss  0.619379, Time  0.237481
2021-09-11 02:18:18.460078 : Epoch  1, Batch    548, Loss  0.882735, Average Loss  0.889896, Time  0.238288
2021-09-11 02:18:19.092821 : Epoch  3, Batch    874, Loss  0.869585, Average Loss  0.869395, Time  0.169767
2021-09-11 02:18:19.653399 : Epoch  2, Batch    523, Loss  0.623987, Average Loss  0.619457, Time  0.231496
2021-09-11 02:18:20.728991 : Epoch  3, Batch    875, Loss  0.885211, Average Loss  0.869523, Time  0.171932
2021-09-11 02:18:21.373466 : Epoch  2, Batch    524, Loss  0.616122, Average Loss  0.619465, Time  0.412779
2021-09-11 02:18:21.418580 : Epoch  1, Batch    549, Loss  0.892727, Average Loss  0.889847, Time  0.451997
2021-09-11 02:18:22.332811 : Epoch  3, Batch    876, Loss  0.858727, Average Loss  0.869651, Time  0.170534
2021-09-11 02:18:22.917104 : Epoch  2, Batch    525, Loss  0.620231, Average Loss  0.619471, Time  0.234565
2021-09-11 02:18:23.935998 : Epoch  3, Batch    877, Loss  0.868677, Average Loss  0.869534, Time  0.169978
2021-09-11 02:18:24.123397 : Epoch  1, Batch    550, Loss  0.879781, Average Loss  0.889761, Time  0.238039
2021-09-11 02:18:24.527108 : Epoch  2, Batch    526, Loss  0.615241, Average Loss  0.619488, Time  0.231757
2021-09-11 02:18:25.551983 : Epoch  3, Batch    878, Loss  0.903916, Average Loss  0.869818, Time  0.169966
2021-09-11 02:18:26.102007 : Epoch  2, Batch    527, Loss  0.620572, Average Loss  0.619454, Time  0.231834
2021-09-11 02:18:26.772135 : Epoch  1, Batch    551, Loss  0.878011, Average Loss  0.889696, Time  0.251338
2021-09-11 02:18:27.731339 : Epoch  2, Batch    528, Loss  0.626765, Average Loss  0.619477, Time  0.232391
2021-09-11 02:18:29.371114 : Epoch  2, Batch    529, Loss  0.618570, Average Loss  0.619529, Time  0.319880
2021-09-11 02:18:29.505869 : Epoch  1, Batch    552, Loss  0.886003, Average Loss  0.889601, Time  0.278551
2021-09-11 02:18:30.899831 : Epoch  2, Batch    530, Loss  0.618743, Average Loss  0.619487, Time  0.231164
2021-09-11 02:18:32.159050 : Epoch  1, Batch    553, Loss  0.893950, Average Loss  0.889565, Time  0.238348
2021-09-11 02:18:32.445752 : Epoch  2, Batch    531, Loss  0.617943, Average Loss  0.619457, Time  0.232193
2021-09-11 02:18:34.002985 : Epoch  2, Batch    532, Loss  0.610972, Average Loss  0.619345, Time  0.244092
2021-09-11 02:18:34.827436 : Epoch  1, Batch    554, Loss  0.876109, Average Loss  0.889424, Time  0.239136
2021-09-11 02:18:35.551979 : Epoch  2, Batch    533, Loss  0.616843, Average Loss  0.619290, Time  0.231047
2021-09-11 02:18:37.178970 : Epoch  2, Batch    534, Loss  0.603774, Average Loss  0.619247, Time  0.234966
2021-09-11 02:18:37.524975 : Epoch  1, Batch    555, Loss  0.884007, Average Loss  0.889309, Time  0.266125
2021-09-11 02:18:38.787490 : Epoch  2, Batch    535, Loss  0.602155, Average Loss  0.619155, Time  0.236355
2021-09-11 02:18:40.165442 : Epoch  1, Batch    556, Loss  0.890602, Average Loss  0.889135, Time  0.245658
2021-09-11 02:18:40.451876 : Epoch  2, Batch    536, Loss  0.617747, Average Loss  0.619168, Time  0.238804
2021-09-11 02:18:42.079446 : Epoch  2, Batch    537, Loss  0.624154, Average Loss  0.619194, Time  0.235712
2021-09-11 02:18:42.864392 : Epoch  1, Batch    557, Loss  0.888848, Average Loss  0.888980, Time  0.238616
2021-09-11 02:18:43.689407 : Epoch  2, Batch    538, Loss  0.609867, Average Loss  0.619106, Time  0.240545
2021-09-11 02:18:45.285982 : Epoch  2, Batch    539, Loss  0.615818, Average Loss  0.619128, Time  0.235389
2021-09-11 02:18:45.561967 : Epoch  1, Batch    558, Loss  0.877649, Average Loss  0.888809, Time  0.243770
2021-09-11 02:18:46.967367 : Epoch  2, Batch    540, Loss  0.628711, Average Loss  0.619190, Time  0.234296
2021-09-11 02:18:48.180051 : Epoch  1, Batch    559, Loss  0.885870, Average Loss  0.888707, Time  0.240569
2021-09-11 02:18:48.544430 : Epoch  2, Batch    541, Loss  0.618800, Average Loss  0.619209, Time  0.235058
2021-09-11 02:18:50.163374 : Epoch  2, Batch    542, Loss  0.607136, Average Loss  0.619133, Time  0.231083
2021-09-11 02:18:50.987209 : Epoch  1, Batch    560, Loss  0.896057, Average Loss  0.888587, Time  0.238210
2021-09-11 02:18:51.756160 : Epoch  2, Batch    543, Loss  0.610807, Average Loss  0.619083, Time  0.238025
2021-09-11 02:18:53.312419 : Epoch  2, Batch    544, Loss  0.614654, Average Loss  0.619035, Time  0.232038
2021-09-11 02:18:53.686401 : Epoch  1, Batch    561, Loss  0.886107, Average Loss  0.888516, Time  0.238190
2021-09-11 02:18:54.871680 : Epoch  2, Batch    545, Loss  0.606896, Average Loss  0.618924, Time  0.237069
2021-09-11 02:18:56.565945 : Epoch  1, Batch    562, Loss  0.886921, Average Loss  0.888533, Time  0.437576
2021-09-11 02:18:56.615301 : Epoch  2, Batch    546, Loss  0.612019, Average Loss  0.618958, Time  0.382558
2021-09-11 02:18:58.188408 : Epoch  2, Batch    547, Loss  0.598825, Average Loss  0.618846, Time  0.233544
2021-09-11 02:18:59.273436 : Epoch  1, Batch    563, Loss  0.894471, Average Loss  0.888507, Time  0.237969
2021-09-11 02:18:59.789955 : Epoch  2, Batch    548, Loss  0.625814, Average Loss  0.618819, Time  0.235191
2021-09-11 02:19:01.441379 : Epoch  2, Batch    549, Loss  0.607818, Average Loss  0.618724, Time  0.238415
2021-09-11 02:19:01.985959 : Epoch  1, Batch    564, Loss  0.888931, Average Loss  0.888411, Time  0.241176
2021-09-11 02:19:02.983423 : Epoch  2, Batch    550, Loss  0.621018, Average Loss  0.618814, Time  0.231362
2021-09-11 02:19:04.754010 : Epoch  2, Batch    551, Loss  0.601527, Average Loss  0.618776, Time  0.405724
2021-09-11 02:19:04.797965 : Epoch  1, Batch    565, Loss  0.879779, Average Loss  0.888385, Time  0.335105
2021-09-11 02:19:06.441403 : Epoch  2, Batch    552, Loss  0.614939, Average Loss  0.618786, Time  0.249470
2021-09-11 02:19:07.436855 : Epoch  1, Batch    566, Loss  0.884769, Average Loss  0.888426, Time  0.238200
2021-09-11 02:19:08.132477 : Epoch  2, Batch    553, Loss  0.616271, Average Loss  0.618768, Time  0.252951
2021-09-11 02:19:09.756114 : Epoch  2, Batch    554, Loss  0.617100, Average Loss  0.618719, Time  0.249829
2021-09-11 02:19:10.157978 : Epoch  1, Batch    567, Loss  0.890846, Average Loss  0.888274, Time  0.239573
2021-09-11 02:19:11.475853 : Epoch  2, Batch    555, Loss  0.616966, Average Loss  0.618725, Time  0.232324
2021-09-11 02:19:12.800840 : Epoch  1, Batch    568, Loss  0.891294, Average Loss  0.888226, Time  0.249405
2021-09-11 02:19:13.030965 : Epoch  2, Batch    556, Loss  0.609914, Average Loss  0.618674, Time  0.241718
2021-09-11 02:19:14.606427 : Epoch  2, Batch    557, Loss  0.621528, Average Loss  0.618698, Time  0.232847
2021-09-11 02:19:15.538819 : Epoch  1, Batch    569, Loss  0.891310, Average Loss  0.888162, Time  0.238286
2021-09-11 02:19:16.150069 : Epoch  2, Batch    558, Loss  0.619507, Average Loss  0.618712, Time  0.231884
2021-09-11 02:19:17.727499 : Epoch  2, Batch    559, Loss  0.610239, Average Loss  0.618684, Time  0.231853
2021-09-11 02:19:18.281812 : Epoch  1, Batch    570, Loss  0.885439, Average Loss  0.888107, Time  0.242773
2021-09-11 02:19:19.315047 : Epoch  2, Batch    560, Loss  0.615616, Average Loss  0.618668, Time  0.241414
2021-09-11 02:19:21.067464 : Epoch  1, Batch    571, Loss  0.877981, Average Loss  0.887966, Time  0.383308
2021-09-11 02:19:21.180164 : Epoch  2, Batch    561, Loss  0.610070, Average Loss  0.618641, Time  0.356584
2021-09-11 02:19:23.056094 : Epoch  2, Batch    562, Loss  0.625680, Average Loss  0.618666, Time  0.237276
2021-09-11 02:19:23.743062 : Epoch  1, Batch    572, Loss  0.893632, Average Loss  0.887909, Time  0.240806
2021-09-11 02:19:24.642077 : Epoch  2, Batch    563, Loss  0.614143, Average Loss  0.618658, Time  0.233804
2021-09-11 02:19:26.288995 : Epoch  2, Batch    564, Loss  0.620774, Average Loss  0.618665, Time  0.314902
2021-09-11 02:19:26.427221 : Epoch  1, Batch    573, Loss  0.874834, Average Loss  0.887754, Time  0.266215
2021-09-11 02:19:27.845592 : Epoch  2, Batch    565, Loss  0.610768, Average Loss  0.618570, Time  0.232743
2021-09-11 02:19:29.100599 : Epoch  1, Batch    574, Loss  0.867297, Average Loss  0.887521, Time  0.240375
2021-09-11 02:19:29.407089 : Epoch  2, Batch    566, Loss  0.629485, Average Loss  0.618623, Time  0.235052
2021-09-11 02:19:30.968401 : Epoch  2, Batch    567, Loss  0.622539, Average Loss  0.618645, Time  0.235796
2021-09-11 02:19:31.747862 : Epoch  1, Batch    575, Loss  0.897558, Average Loss  0.887442, Time  0.241940
2021-09-11 02:19:32.572868 : Epoch  2, Batch    568, Loss  0.623669, Average Loss  0.618653, Time  0.235156
2021-09-11 02:19:34.149230 : Epoch  2, Batch    569, Loss  0.615666, Average Loss  0.618626, Time  0.232608
2021-09-11 02:19:34.401237 : Epoch  1, Batch    576, Loss  0.874356, Average Loss  0.887270, Time  0.239256
2021-09-11 02:19:35.763866 : Epoch  2, Batch    570, Loss  0.627889, Average Loss  0.618637, Time  0.234471
2021-09-11 02:19:37.170964 : Epoch  1, Batch    577, Loss  0.873882, Average Loss  0.887170, Time  0.243227
2021-09-11 02:19:37.400416 : Epoch  2, Batch    571, Loss  0.613724, Average Loss  0.618593, Time  0.238579
2021-09-11 02:19:38.979387 : Epoch  2, Batch    572, Loss  0.613049, Average Loss  0.618551, Time  0.233317
2021-09-11 02:19:39.846093 : Epoch  1, Batch    578, Loss  0.869161, Average Loss  0.887017, Time  0.240306
2021-09-11 02:19:40.552948 : Epoch  2, Batch    573, Loss  0.605871, Average Loss  0.618494, Time  0.240549
2021-09-11 02:19:42.094905 : Epoch  2, Batch    574, Loss  0.616202, Average Loss  0.618462, Time  0.232119
2021-09-11 02:19:42.510982 : Epoch  1, Batch    579, Loss  0.894347, Average Loss  0.887042, Time  0.238562
2021-09-11 02:19:43.699095 : Epoch  2, Batch    575, Loss  0.621681, Average Loss  0.618446, Time  0.231526
2021-09-11 02:19:45.363996 : Epoch  1, Batch    580, Loss  0.872717, Average Loss  0.886887, Time  0.386202
2021-09-11 02:19:45.447299 : Epoch  2, Batch    576, Loss  0.620737, Average Loss  0.618426, Time  0.317644
2021-09-11 02:19:47.002147 : Epoch  2, Batch    577, Loss  0.609961, Average Loss  0.618372, Time  0.233874
2021-09-11 02:19:48.031281 : Epoch  1, Batch    581, Loss  0.898704, Average Loss  0.886859, Time  0.244037
2021-09-11 02:19:48.657877 : Epoch  2, Batch    578, Loss  0.620576, Average Loss  0.618370, Time  0.232877
2021-09-11 02:19:50.203389 : Epoch  2, Batch    579, Loss  0.617707, Average Loss  0.618336, Time  0.233359
2021-09-11 02:19:50.692506 : Epoch  1, Batch    582, Loss  0.907406, Average Loss  0.886954, Time  0.245319
2021-09-11 02:19:51.746922 : Epoch  2, Batch    580, Loss  0.616155, Average Loss  0.618331, Time  0.231519
2021-09-11 02:19:53.525904 : Epoch  2, Batch    581, Loss  0.602400, Average Loss  0.618202, Time  0.452434
2021-09-11 02:19:53.574915 : Epoch  1, Batch    583, Loss  0.898507, Average Loss  0.886970, Time  0.458769
2021-09-11 02:19:55.073822 : Epoch  2, Batch    582, Loss  0.604249, Average Loss  0.618092, Time  0.232521
2021-09-11 02:19:56.191419 : Epoch  1, Batch    584, Loss  0.864592, Average Loss  0.886911, Time  0.241623
2021-09-11 02:19:56.634915 : Epoch  2, Batch    583, Loss  0.613289, Average Loss  0.618069, Time  0.233105
2021-09-11 02:19:58.844897 : Epoch  1, Batch    585, Loss  0.861601, Average Loss  0.886735, Time  0.240349
2021-09-11 02:20:00.667084 : Epoch  2, Batch    584, Loss  0.607038, Average Loss  0.617992, Time  0.243140
2021-09-11 02:20:01.464051 : Epoch  1, Batch    586, Loss  0.884846, Average Loss  0.886574, Time  0.242023
2021-09-11 02:20:02.216406 : Epoch  2, Batch    585, Loss  0.621591, Average Loss  0.618024, Time  0.231217
2021-09-11 02:20:03.784932 : Epoch  2, Batch    586, Loss  0.618638, Average Loss  0.617996, Time  0.234640
2021-09-11 02:20:04.090824 : Epoch  1, Batch    587, Loss  0.875942, Average Loss  0.886448, Time  0.243829
2021-09-11 02:20:05.339414 : Epoch  2, Batch    587, Loss  0.610843, Average Loss  0.617941, Time  0.232184
2021-09-11 02:20:06.893004 : Epoch  1, Batch    588, Loss  0.888635, Average Loss  0.886364, Time  0.385173
2021-09-11 02:20:06.961869 : Epoch  2, Batch    588, Loss  0.626879, Average Loss  0.617885, Time  0.315090
2021-09-11 02:20:08.547019 : Epoch  2, Batch    589, Loss  0.625337, Average Loss  0.617938, Time  0.236600
2021-09-11 02:20:09.588928 : Epoch  1, Batch    589, Loss  0.884024, Average Loss  0.886376, Time  0.241410
2021-09-11 02:20:10.174932 : Epoch  2, Batch    590, Loss  0.622071, Average Loss  0.617988, Time  0.236558
2021-09-11 02:20:11.717460 : Epoch  2, Batch    591, Loss  0.610934, Average Loss  0.617945, Time  0.233025
2021-09-11 02:20:12.213511 : Epoch  1, Batch    590, Loss  0.873443, Average Loss  0.886332, Time  0.242346
2021-09-11 02:20:13.347269 : Epoch  2, Batch    592, Loss  0.618002, Average Loss  0.617879, Time  0.232932
2021-09-11 02:20:15.053943 : Epoch  1, Batch    591, Loss  0.890507, Average Loss  0.886407, Time  0.434895
2021-09-11 02:20:15.100448 : Epoch  2, Batch    593, Loss  0.623919, Average Loss  0.617899, Time  0.374915
2021-09-11 02:20:16.683276 : Epoch  2, Batch    594, Loss  0.616733, Average Loss  0.617886, Time  0.236056
2021-09-11 02:20:17.851451 : Epoch  1, Batch    592, Loss  0.875483, Average Loss  0.886321, Time  0.275833
2021-09-11 02:20:18.247255 : Epoch  2, Batch    595, Loss  0.615478, Average Loss  0.617863, Time  0.233683
2021-09-11 02:20:19.809642 : Epoch  2, Batch    596, Loss  0.610056, Average Loss  0.617819, Time  0.231405
2021-09-11 02:20:20.533859 : Epoch  1, Batch    593, Loss  0.879714, Average Loss  0.886214, Time  0.240041
2021-09-11 02:20:21.384892 : Epoch  2, Batch    597, Loss  0.620471, Average Loss  0.617858, Time  0.234321
2021-09-11 02:20:22.925971 : Epoch  2, Batch    598, Loss  0.617195, Average Loss  0.617865, Time  0.231718
2021-09-11 02:20:23.358406 : Epoch  1, Batch    594, Loss  0.875647, Average Loss  0.886056, Time  0.240160
2021-09-11 02:20:24.529406 : Epoch  2, Batch    599, Loss  0.609710, Average Loss  0.617779, Time  0.235304
2021-09-11 02:20:26.228012 : Epoch  2, Batch    600, Loss  0.613449, Average Loss  0.617736, Time  0.392060
2021-09-11 02:20:26.271469 : Epoch  1, Batch    595, Loss  0.888997, Average Loss  0.886144, Time  0.452490
2021-09-11 02:20:27.929431 : Epoch  2, Batch    601, Loss  0.605853, Average Loss  0.617629, Time  0.232060
2021-09-11 02:20:28.943840 : Epoch  1, Batch    596, Loss  0.872502, Average Loss  0.886046, Time  0.246156
2021-09-11 02:20:29.481387 : Epoch  2, Batch    602, Loss  0.608588, Average Loss  0.617568, Time  0.235079
2021-09-11 02:20:31.070162 : Epoch  2, Batch    603, Loss  0.617693, Average Loss  0.617528, Time  0.233495
2021-09-11 02:20:31.623818 : Epoch  1, Batch    597, Loss  0.882104, Average Loss  0.885997, Time  0.241804
2021-09-11 02:20:32.609060 : Epoch  2, Batch    604, Loss  0.606683, Average Loss  0.617446, Time  0.231570
2021-09-11 02:20:34.302981 : Epoch  2, Batch    605, Loss  0.611756, Average Loss  0.617357, Time  0.362541
2021-09-11 02:20:34.390933 : Epoch  1, Batch    598, Loss  0.880542, Average Loss  0.886076, Time  0.306736
2021-09-11 02:20:35.839443 : Epoch  2, Batch    606, Loss  0.605771, Average Loss  0.617301, Time  0.233342
2021-09-11 02:20:37.042020 : Epoch  1, Batch    599, Loss  0.884638, Average Loss  0.886013, Time  0.238236
2021-09-11 02:20:37.393891 : Epoch  2, Batch    607, Loss  0.613707, Average Loss  0.617336, Time  0.234993
2021-09-11 02:20:38.966000 : Epoch  2, Batch    608, Loss  0.613804, Average Loss  0.617331, Time  0.246315
2021-09-11 02:20:39.659913 : Epoch  1, Batch    600, Loss  0.877801, Average Loss  0.885890, Time  0.246714
2021-09-11 02:20:40.502099 : Epoch  2, Batch    609, Loss  0.617482, Average Loss  0.617365, Time  0.233412
2021-09-11 02:20:42.047919 : Epoch  2, Batch    610, Loss  0.612070, Average Loss  0.617280, Time  0.238694
2021-09-11 02:20:43.635591 : Epoch  2, Batch    611, Loss  0.615131, Average Loss  0.617272, Time  0.232925
2021-09-11 02:20:45.206011 : Epoch  2, Batch    612, Loss  0.621934, Average Loss  0.617246, Time  0.231441
2021-09-11 02:20:46.769928 : Epoch  2, Batch    613, Loss  0.621256, Average Loss  0.617258, Time  0.233394
2021-09-11 02:21:45.045763 : CheckPoint: Validation Loss  0.00025663, Best Loss  0.00025336
2021-09-11 02:21:46.632114 : Epoch  2, Batch    614, Loss  0.614120, Average Loss  0.617231, Time  0.231672
2021-09-11 02:21:48.263156 : Epoch  2, Batch    615, Loss  0.608669, Average Loss  0.617176, Time  0.313752
2021-09-11 02:21:49.830125 : Epoch  2, Batch    616, Loss  0.624093, Average Loss  0.617210, Time  0.232402
2021-09-11 02:21:51.473337 : Epoch  2, Batch    617, Loss  0.617309, Average Loss  0.617230, Time  0.233334
2021-09-11 02:21:53.021732 : Epoch  2, Batch    618, Loss  0.608859, Average Loss  0.617174, Time  0.231794
2021-09-11 02:21:54.551630 : Epoch  2, Batch    619, Loss  0.618316, Average Loss  0.617118, Time  0.231521
2021-09-11 02:21:56.120427 : Epoch  2, Batch    620, Loss  0.623630, Average Loss  0.617164, Time  0.241324
2021-09-11 02:21:57.676178 : Epoch  2, Batch    621, Loss  0.611516, Average Loss  0.617091, Time  0.233409
2021-09-11 02:21:59.217246 : Epoch  2, Batch    622, Loss  0.621761, Average Loss  0.617047, Time  0.236401
2021-09-11 02:22:00.860423 : Epoch  2, Batch    623, Loss  0.614168, Average Loss  0.616995, Time  0.232072
2021-09-11 02:22:02.403322 : Epoch  2, Batch    624, Loss  0.604933, Average Loss  0.616904, Time  0.235948
2021-09-11 02:22:03.940079 : Epoch  2, Batch    625, Loss  0.613938, Average Loss  0.616820, Time  0.235557
2021-09-11 02:22:05.563982 : Epoch  2, Batch    626, Loss  0.612714, Average Loss  0.616798, Time  0.316431
2021-09-11 02:22:07.103368 : Epoch  2, Batch    627, Loss  0.609465, Average Loss  0.616760, Time  0.236122
2021-09-11 02:22:08.706098 : Epoch  2, Batch    628, Loss  0.621423, Average Loss  0.616760, Time  0.235358
2021-09-11 02:22:10.278428 : Epoch  2, Batch    629, Loss  0.624407, Average Loss  0.616840, Time  0.240111
2021-09-11 02:22:11.803255 : Epoch  2, Batch    630, Loss  0.621328, Average Loss  0.616920, Time  0.231501
2021-09-11 02:22:13.367338 : Epoch  2, Batch    631, Loss  0.619488, Average Loss  0.616880, Time  0.231116
2021-09-11 02:22:14.921878 : Epoch  2, Batch    632, Loss  0.604389, Average Loss  0.616722, Time  0.231372
2021-09-11 02:22:16.476896 : Epoch  2, Batch    633, Loss  0.611601, Average Loss  0.616735, Time  0.231115
2021-09-11 02:22:18.107077 : Epoch  2, Batch    634, Loss  0.616362, Average Loss  0.616716, Time  0.320356
2021-09-11 02:22:19.657416 : Epoch  2, Batch    635, Loss  0.612823, Average Loss  0.616669, Time  0.231254
2021-09-11 02:22:21.209871 : Epoch  2, Batch    636, Loss  0.616964, Average Loss  0.616637, Time  0.231612
2021-09-11 02:22:22.824881 : Epoch  2, Batch    637, Loss  0.615488, Average Loss  0.616587, Time  0.277396
2021-09-11 02:22:24.373301 : Epoch  2, Batch    638, Loss  0.627790, Average Loss  0.616580, Time  0.241193
2021-09-11 02:22:25.955963 : Epoch  2, Batch    639, Loss  0.609775, Average Loss  0.616563, Time  0.233262
2021-09-11 02:22:27.566964 : Epoch  2, Batch    640, Loss  0.621503, Average Loss  0.616636, Time  0.236337
2021-09-11 02:22:29.125996 : Epoch  2, Batch    641, Loss  0.609763, Average Loss  0.616550, Time  0.235470
2021-09-11 02:22:29.298845 : Epoch  2, Batch    642, Loss  0.524360, Average Loss  0.616086, Time  0.106667
2021-09-11 02:22:30.881761 : Epoch  2, Batch    643, Loss  0.619115, Average Loss  0.616089, Time  0.231946
2021-09-11 02:22:32.429893 : Epoch  2, Batch    644, Loss  0.629027, Average Loss  0.616187, Time  0.233272
2021-09-11 02:22:34.023325 : Epoch  2, Batch    645, Loss  0.643095, Average Loss  0.616311, Time  0.235690
2021-09-11 02:22:35.560433 : Epoch  2, Batch    646, Loss  0.620403, Average Loss  0.616330, Time  0.236832
2021-09-11 02:22:37.096000 : Epoch  2, Batch    647, Loss  0.612562, Average Loss  0.616302, Time  0.235640
2021-09-11 02:22:38.649595 : Epoch  2, Batch    648, Loss  0.635256, Average Loss  0.616366, Time  0.231176
2021-09-11 02:22:40.296827 : Epoch  2, Batch    649, Loss  0.609372, Average Loss  0.616395, Time  0.319160
2021-09-11 02:22:41.856402 : Epoch  2, Batch    650, Loss  0.615353, Average Loss  0.616406, Time  0.234535
2021-09-11 02:22:43.439877 : Epoch  2, Batch    651, Loss  0.613360, Average Loss  0.616389, Time  0.231560
2021-09-11 02:22:45.005588 : Epoch  2, Batch    652, Loss  0.632513, Average Loss  0.616427, Time  0.233573
2021-09-11 02:22:46.557422 : Epoch  2, Batch    653, Loss  0.630745, Average Loss  0.616495, Time  0.231018
2021-09-11 02:22:48.145026 : Epoch  2, Batch    654, Loss  0.627548, Average Loss  0.616455, Time  0.250937
2021-09-11 02:22:49.729050 : Epoch  2, Batch    655, Loss  0.620772, Average Loss  0.616416, Time  0.233774
2021-09-11 02:22:51.294862 : Epoch  2, Batch    656, Loss  0.620113, Average Loss  0.616449, Time  0.233606
2021-09-11 02:22:52.858556 : Epoch  2, Batch    657, Loss  0.619100, Average Loss  0.616480, Time  0.231220
2021-09-11 02:22:54.445948 : Epoch  2, Batch    658, Loss  0.615979, Average Loss  0.616446, Time  0.238342
2021-09-11 02:22:55.983822 : Epoch  2, Batch    659, Loss  0.625321, Average Loss  0.616475, Time  0.232219
2021-09-11 02:22:57.616994 : Epoch  2, Batch    660, Loss  0.625839, Average Loss  0.616513, Time  0.290639
2021-09-11 02:22:59.171644 : Epoch  2, Batch    661, Loss  0.630529, Average Loss  0.616627, Time  0.231099
2021-09-11 02:23:00.719102 : Epoch  2, Batch    662, Loss  0.607595, Average Loss  0.616594, Time  0.235044
2021-09-11 02:23:02.618063 : Epoch  2, Batch    663, Loss  0.624481, Average Loss  0.616610, Time  0.318730
2021-09-11 02:23:04.227005 : Epoch  2, Batch    664, Loss  0.616892, Average Loss  0.616583, Time  0.239406
2021-09-11 02:23:05.832002 : Epoch  2, Batch    665, Loss  0.625840, Average Loss  0.616613, Time  0.237811
2021-09-11 02:23:06.066712 : CheckPoint: Validation Loss  0.00058181, Best Loss  0.00057296
2021-09-11 02:23:07.502567 : Epoch  2, Batch    666, Loss  0.601809, Average Loss  0.616506, Time  0.317889
2021-09-11 02:23:07.679881 : Epoch  3, Batch    879, Loss  0.848763, Average Loss  0.869882, Time  0.175040
2021-09-11 02:23:09.076940 : Epoch  2, Batch    667, Loss  0.621692, Average Loss  0.616538, Time  0.233841
2021-09-11 02:23:09.306726 : Epoch  3, Batch    880, Loss  0.852332, Average Loss  0.869954, Time  0.170180
2021-09-11 02:23:10.646129 : Epoch  2, Batch    668, Loss  0.625317, Average Loss  0.616575, Time  0.233435
2021-09-11 02:23:10.936802 : Epoch  3, Batch    881, Loss  0.869481, Average Loss  0.869955, Time  0.183141
2021-09-11 02:23:12.202672 : Epoch  2, Batch    669, Loss  0.619281, Average Loss  0.616520, Time  0.231966
2021-09-11 02:23:12.609113 : Epoch  3, Batch    882, Loss  0.866708, Average Loss  0.870019, Time  0.170546
2021-09-11 02:23:13.812778 : Epoch  2, Batch    670, Loss  0.617017, Average Loss  0.616515, Time  0.231863
2021-09-11 02:23:14.207987 : Epoch  3, Batch    883, Loss  0.836742, Average Loss  0.869791, Time  0.170487
2021-09-11 02:23:15.474188 : Epoch  2, Batch    671, Loss  0.620365, Average Loss  0.616502, Time  0.235324
2021-09-11 02:23:15.820993 : Epoch  3, Batch    884, Loss  0.861818, Average Loss  0.869803, Time  0.169864
2021-09-11 02:23:17.080101 : Epoch  2, Batch    672, Loss  0.622155, Average Loss  0.616543, Time  0.233196
2021-09-11 02:23:17.443839 : Epoch  3, Batch    885, Loss  0.846511, Average Loss  0.869732, Time  0.170111
2021-09-11 02:23:18.705854 : Epoch  2, Batch    673, Loss  0.619901, Average Loss  0.616563, Time  0.231555
2021-09-11 02:23:19.075754 : Epoch  3, Batch    886, Loss  0.839156, Average Loss  0.869436, Time  0.169875
2021-09-11 02:23:20.273484 : Epoch  2, Batch    674, Loss  0.618449, Average Loss  0.616585, Time  0.233653
2021-09-11 02:23:20.699988 : Epoch  3, Batch    887, Loss  0.877434, Average Loss  0.869498, Time  0.169879
2021-09-11 02:23:21.869863 : Epoch  2, Batch    675, Loss  0.605119, Average Loss  0.616514, Time  0.235772
2021-09-11 02:23:22.336981 : Epoch  3, Batch    888, Loss  0.882562, Average Loss  0.869626, Time  0.170123
2021-09-11 02:23:23.529545 : Epoch  2, Batch    676, Loss  0.615821, Average Loss  0.616475, Time  0.237475
2021-09-11 02:23:23.952997 : Epoch  3, Batch    889, Loss  0.874883, Average Loss  0.869754, Time  0.169614
2021-09-11 02:23:25.076459 : Epoch  2, Batch    677, Loss  0.620357, Average Loss  0.616466, Time  0.235851
2021-09-11 02:23:25.582857 : Epoch  3, Batch    890, Loss  0.880122, Average Loss  0.869901, Time  0.169557
2021-09-11 02:23:26.638514 : Epoch  2, Batch    678, Loss  0.615954, Average Loss  0.616411, Time  0.231390
2021-09-11 02:23:27.219995 : Epoch  3, Batch    891, Loss  0.862986, Average Loss  0.869808, Time  0.169951
2021-09-11 02:23:28.312855 : Epoch  2, Batch    679, Loss  0.621027, Average Loss  0.616447, Time  0.243904
2021-09-11 02:23:28.849997 : Epoch  3, Batch    892, Loss  0.866671, Average Loss  0.869880, Time  0.169725
2021-09-11 02:23:29.879228 : Epoch  2, Batch    680, Loss  0.612389, Average Loss  0.616426, Time  0.233321
2021-09-11 02:23:30.474994 : Epoch  3, Batch    893, Loss  0.879514, Average Loss  0.869876, Time  0.169445
2021-09-11 02:23:31.483863 : Epoch  2, Batch    681, Loss  0.612037, Average Loss  0.616404, Time  0.240238
2021-09-11 02:23:32.092789 : Epoch  3, Batch    894, Loss  0.857781, Average Loss  0.869793, Time  0.170304
2021-09-11 02:23:33.080012 : Epoch  2, Batch    682, Loss  0.614385, Average Loss  0.616307, Time  0.232820
2021-09-11 02:23:33.711835 : Epoch  3, Batch    895, Loss  0.863877, Average Loss  0.869717, Time  0.169783
2021-09-11 02:23:34.771889 : Epoch  2, Batch    683, Loss  0.627624, Average Loss  0.616342, Time  0.346429
2021-09-11 02:23:35.345758 : Epoch  3, Batch    896, Loss  0.827369, Average Loss  0.869459, Time  0.169758
2021-09-11 02:23:36.310435 : Epoch  2, Batch    684, Loss  0.630380, Average Loss  0.616416, Time  0.231223
2021-09-11 02:23:36.959677 : Epoch  3, Batch    897, Loss  0.872784, Average Loss  0.869531, Time  0.169757
2021-09-11 02:23:38.579001 : Epoch  3, Batch    898, Loss  0.876719, Average Loss  0.869526, Time  0.169534
2021-09-11 02:23:40.207743 : Epoch  3, Batch    899, Loss  0.870447, Average Loss  0.869457, Time  0.169952
2021-09-11 02:23:40.433827 : Epoch  2, Batch    685, Loss  0.625471, Average Loss  0.616459, Time  0.250266
2021-09-11 02:23:41.836776 : Epoch  3, Batch    900, Loss  0.841172, Average Loss  0.869321, Time  0.177638
2021-09-11 02:23:41.985377 : Epoch  2, Batch    686, Loss  0.621004, Average Loss  0.616487, Time  0.244817
2021-09-11 02:23:43.469779 : Epoch  3, Batch    901, Loss  0.850134, Average Loss  0.869106, Time  0.171415
2021-09-11 02:23:43.625659 : Epoch  2, Batch    687, Loss  0.604214, Average Loss  0.616434, Time  0.231354
2021-09-11 02:23:45.095785 : Epoch  3, Batch    902, Loss  0.901671, Average Loss  0.869428, Time  0.174960
2021-09-11 02:23:45.163839 : Epoch  2, Batch    688, Loss  0.619618, Average Loss  0.616440, Time  0.232961
2021-09-11 02:23:46.737763 : Epoch  3, Batch    903, Loss  0.866046, Average Loss  0.869396, Time  0.178866
2021-09-11 02:23:46.776070 : Epoch  2, Batch    689, Loss  0.615598, Average Loss  0.616401, Time  0.231353
2021-09-11 02:23:48.312887 : Epoch  2, Batch    690, Loss  0.618495, Average Loss  0.616394, Time  0.232323
2021-09-11 02:23:48.358835 : Epoch  3, Batch    904, Loss  0.872464, Average Loss  0.869412, Time  0.170436
2021-09-11 02:23:49.883161 : Epoch  2, Batch    691, Loss  0.614168, Average Loss  0.616352, Time  0.237597
2021-09-11 02:23:49.948785 : Epoch  3, Batch    905, Loss  0.853240, Average Loss  0.869260, Time  0.173800
2021-09-11 02:23:51.465924 : Epoch  2, Batch    692, Loss  0.606157, Average Loss  0.616275, Time  0.231499
2021-09-11 02:23:51.542004 : Epoch  3, Batch    906, Loss  0.870541, Average Loss  0.869201, Time  0.169861
2021-09-11 02:23:53.059170 : Epoch  2, Batch    693, Loss  0.618889, Average Loss  0.616290, Time  0.232015
2021-09-11 02:23:53.167999 : Epoch  3, Batch    907, Loss  0.852624, Average Loss  0.869215, Time  0.169938
2021-09-11 02:23:54.600887 : Epoch  2, Batch    694, Loss  0.603622, Average Loss  0.616256, Time  0.231818
2021-09-11 02:23:54.806007 : Epoch  3, Batch    908, Loss  0.840641, Average Loss  0.868920, Time  0.169713
2021-09-11 02:23:56.125456 : Epoch  2, Batch    695, Loss  0.622300, Average Loss  0.616267, Time  0.230931
2021-09-11 02:23:56.435758 : Epoch  3, Batch    909, Loss  0.875040, Average Loss  0.868835, Time  0.169464
2021-09-11 02:23:57.656396 : Epoch  2, Batch    696, Loss  0.616190, Average Loss  0.616263, Time  0.231513
2021-09-11 02:23:58.063997 : Epoch  3, Batch    910, Loss  0.846103, Average Loss  0.868828, Time  0.169801
2021-09-11 02:23:59.397130 : Epoch  2, Batch    697, Loss  0.613181, Average Loss  0.616261, Time  0.317879
2021-09-11 02:23:59.705787 : Epoch  3, Batch    911, Loss  0.854733, Average Loss  0.868657, Time  0.169576
2021-09-11 02:24:00.932966 : Epoch  2, Batch    698, Loss  0.620611, Average Loss  0.616309, Time  0.236616
2021-09-11 02:24:01.314997 : Epoch  3, Batch    912, Loss  0.872077, Average Loss  0.868651, Time  0.169804
2021-09-11 02:24:02.489050 : Epoch  2, Batch    699, Loss  0.610811, Average Loss  0.616252, Time  0.232029
2021-09-11 02:24:02.944982 : Epoch  3, Batch    913, Loss  0.863584, Average Loss  0.868516, Time  0.169600
2021-09-11 02:24:04.020001 : Epoch  2, Batch    700, Loss  0.610215, Average Loss  0.616196, Time  0.235249
2021-09-11 02:24:04.574999 : Epoch  3, Batch    914, Loss  0.917017, Average Loss  0.868577, Time  0.169655
2021-09-11 02:24:05.568383 : Epoch  2, Batch    701, Loss  0.616774, Average Loss  0.616201, Time  0.232204
2021-09-11 02:24:06.245929 : Epoch  3, Batch    915, Loss  0.830914, Average Loss  0.868397, Time  0.169774
2021-09-11 02:24:07.174702 : Epoch  2, Batch    702, Loss  0.605314, Average Loss  0.616146, Time  0.233742
2021-09-11 02:24:07.838764 : Epoch  3, Batch    916, Loss  0.857179, Average Loss  0.868384, Time  0.169663
2021-09-11 02:24:08.987366 : Epoch  2, Batch    703, Loss  0.612461, Average Loss  0.616132, Time  0.258502
2021-09-11 02:24:09.460850 : Epoch  3, Batch    917, Loss  0.871583, Average Loss  0.868378, Time  0.171121
2021-09-11 02:24:10.653055 : Epoch  2, Batch    704, Loss  0.621503, Average Loss  0.616167, Time  0.243927
2021-09-11 02:24:11.088999 : Epoch  3, Batch    918, Loss  0.881473, Average Loss  0.868291, Time  0.169646
2021-09-11 02:24:12.248021 : Epoch  2, Batch    705, Loss  0.612696, Average Loss  0.616128, Time  0.232884
2021-09-11 02:24:12.724834 : Epoch  3, Batch    919, Loss  0.861976, Average Loss  0.868257, Time  0.170680
2021-09-11 02:24:13.834975 : Epoch  2, Batch    706, Loss  0.609334, Average Loss  0.616175, Time  0.237903
2021-09-11 02:24:14.343993 : Epoch  3, Batch    920, Loss  0.874712, Average Loss  0.868436, Time  0.169629
2021-09-11 02:24:15.415022 : Epoch  2, Batch    707, Loss  0.616649, Average Loss  0.616138, Time  0.236529
2021-09-11 02:24:15.970998 : Epoch  3, Batch    921, Loss  0.890927, Average Loss  0.868512, Time  0.169816
2021-09-11 02:24:17.009084 : Epoch  2, Batch    708, Loss  0.609027, Average Loss  0.616073, Time  0.232852
2021-09-11 02:24:17.588759 : Epoch  3, Batch    922, Loss  0.849832, Average Loss  0.868405, Time  0.169859
2021-09-11 02:24:18.616694 : Epoch  2, Batch    709, Loss  0.621732, Average Loss  0.616078, Time  0.235813
2021-09-11 02:24:19.225891 : Epoch  3, Batch    923, Loss  0.883323, Average Loss  0.868474, Time  0.169373
2021-09-11 02:24:20.215176 : Epoch  2, Batch    710, Loss  0.617092, Average Loss  0.616058, Time  0.232984
2021-09-11 02:24:20.841995 : Epoch  3, Batch    924, Loss  0.849195, Average Loss  0.868429, Time  0.169871
2021-09-11 02:24:21.995399 : Epoch  2, Batch    711, Loss  0.606116, Average Loss  0.615978, Time  0.242886
2021-09-11 02:24:22.451991 : Epoch  3, Batch    925, Loss  0.886392, Average Loss  0.868436, Time  0.169813
2021-09-11 02:24:23.591556 : Epoch  2, Batch    712, Loss  0.611848, Average Loss  0.615916, Time  0.233233
2021-09-11 02:24:24.063747 : Epoch  3, Batch    926, Loss  0.859933, Average Loss  0.868380, Time  0.169769
2021-09-11 02:24:25.190369 : Epoch  2, Batch    713, Loss  0.614062, Average Loss  0.615871, Time  0.243147
2021-09-11 02:24:25.685826 : Epoch  3, Batch    927, Loss  0.864698, Average Loss  0.868389, Time  0.169739
2021-09-11 02:24:27.294739 : Epoch  3, Batch    928, Loss  0.880224, Average Loss  0.868519, Time  0.169861
2021-09-11 02:24:28.922773 : Epoch  3, Batch    929, Loss  0.869718, Average Loss  0.868370, Time  0.169800
2021-09-11 02:24:30.546831 : Epoch  3, Batch    930, Loss  0.895540, Average Loss  0.868516, Time  0.169741
2021-09-11 02:24:32.169794 : Epoch  3, Batch    931, Loss  0.907928, Average Loss  0.868721, Time  0.169698
2021-09-11 02:24:33.771957 : Epoch  3, Batch    932, Loss  0.890190, Average Loss  0.868768, Time  0.170988
2021-09-11 02:24:35.374998 : Epoch  3, Batch    933, Loss  0.854327, Average Loss  0.868744, Time  0.172783
2021-09-11 02:24:36.995763 : Epoch  3, Batch    934, Loss  0.881122, Average Loss  0.868788, Time  0.170857
2021-09-11 02:24:38.615843 : Epoch  3, Batch    935, Loss  0.889969, Average Loss  0.868802, Time  0.177598
2021-09-11 02:24:40.217795 : Epoch  3, Batch    936, Loss  0.857967, Average Loss  0.868789, Time  0.190908
2021-09-11 02:24:41.815027 : Epoch  3, Batch    937, Loss  0.884629, Average Loss  0.868842, Time  0.177916
2021-09-11 02:24:43.430862 : Epoch  3, Batch    938, Loss  0.854382, Average Loss  0.868686, Time  0.177368
2021-09-11 02:24:45.043829 : Epoch  3, Batch    939, Loss  0.854187, Average Loss  0.868635, Time  0.174043
2021-09-11 02:24:46.653784 : Epoch  3, Batch    940, Loss  0.856941, Average Loss  0.868707, Time  0.173876
2021-09-11 02:24:48.254860 : Epoch  3, Batch    941, Loss  0.870611, Average Loss  0.868672, Time  0.169959
2021-09-11 02:24:49.854034 : Epoch  3, Batch    942, Loss  0.858537, Average Loss  0.868523, Time  0.170777
2021-09-11 02:24:50.920982 : CheckPoint: Validation Loss  0.00030203, Best Loss  0.00029681
2021-09-11 02:24:51.505850 : Epoch  3, Batch    943, Loss  0.879013, Average Loss  0.868767, Time  0.172567
2021-09-11 02:24:53.103767 : Epoch  3, Batch    944, Loss  0.894984, Average Loss  0.868870, Time  0.169653
2021-09-11 02:24:53.658181 : Epoch  1, Batch    601, Loss  0.881499, Average Loss  0.885757, Time  0.251774
2021-09-11 02:24:54.714794 : Epoch  3, Batch    945, Loss  0.847565, Average Loss  0.868670, Time  0.171956
2021-09-11 02:24:56.341997 : Epoch  3, Batch    946, Loss  0.881663, Average Loss  0.868670, Time  0.171743
2021-09-11 02:24:56.391208 : Epoch  1, Batch    602, Loss  0.884348, Average Loss  0.885605, Time  0.334919
2021-09-11 02:24:57.970890 : Epoch  3, Batch    947, Loss  0.866036, Average Loss  0.868686, Time  0.169795
2021-09-11 02:24:59.191830 : Epoch  1, Batch    603, Loss  0.882424, Average Loss  0.885509, Time  0.321662
2021-09-11 02:24:59.587756 : Epoch  3, Batch    948, Loss  0.879709, Average Loss  0.868697, Time  0.169701
2021-09-11 02:25:01.212993 : Epoch  3, Batch    949, Loss  0.891466, Average Loss  0.868758, Time  0.169610
2021-09-11 02:25:01.941497 : Epoch  1, Batch    604, Loss  0.854735, Average Loss  0.885306, Time  0.336351
2021-09-11 02:25:02.820996 : Epoch  3, Batch    950, Loss  0.838586, Average Loss  0.868619, Time  0.169975
2021-09-11 02:25:04.435713 : Epoch  3, Batch    951, Loss  0.873359, Average Loss  0.868539, Time  0.175576
2021-09-11 02:25:04.680632 : Epoch  1, Batch    605, Loss  0.871380, Average Loss  0.885291, Time  0.323187
2021-09-11 02:25:06.015036 : Epoch  3, Batch    952, Loss  0.871207, Average Loss  0.868616, Time  0.172701
2021-09-11 02:25:07.467187 : Epoch  1, Batch    606, Loss  0.885138, Average Loss  0.885349, Time  0.325547
2021-09-11 02:25:07.667738 : Epoch  3, Batch    953, Loss  0.886811, Average Loss  0.868708, Time  0.169831
2021-09-11 02:25:09.290994 : Epoch  3, Batch    954, Loss  0.897915, Average Loss  0.868799, Time  0.169868
2021-09-11 02:25:10.191831 : Epoch  1, Batch    607, Loss  0.881803, Average Loss  0.885333, Time  0.320160
2021-09-11 02:25:10.917914 : Epoch  3, Batch    955, Loss  0.861094, Average Loss  0.868599, Time  0.172164
2021-09-11 02:25:12.534996 : Epoch  3, Batch    956, Loss  0.858746, Average Loss  0.868439, Time  0.170012
2021-09-11 02:25:12.915380 : Epoch  1, Batch    608, Loss  0.887755, Average Loss  0.885366, Time  0.322398
2021-09-11 02:25:14.155997 : Epoch  3, Batch    957, Loss  0.889699, Average Loss  0.868668, Time  0.171486
2021-09-11 02:25:15.639435 : Epoch  1, Batch    609, Loss  0.868580, Average Loss  0.885283, Time  0.318754
2021-09-11 02:25:15.771798 : Epoch  3, Batch    958, Loss  0.856968, Average Loss  0.868640, Time  0.169558
2021-09-11 02:25:17.402753 : Epoch  3, Batch    959, Loss  0.857751, Average Loss  0.868504, Time  0.169885
2021-09-11 02:25:18.358389 : Epoch  1, Batch    610, Loss  0.886714, Average Loss  0.885242, Time  0.322616
2021-09-11 02:25:19.028842 : Epoch  3, Batch    960, Loss  0.907036, Average Loss  0.868460, Time  0.169791
2021-09-11 02:25:20.652843 : Epoch  3, Batch    961, Loss  0.869809, Average Loss  0.868422, Time  0.169648
2021-09-11 02:25:21.113948 : Epoch  1, Batch    611, Loss  0.895470, Average Loss  0.885232, Time  0.319902
2021-09-11 02:25:22.278000 : Epoch  3, Batch    962, Loss  0.859227, Average Loss  0.868501, Time  0.169983
2021-09-11 02:25:23.854258 : Epoch  1, Batch    612, Loss  0.879952, Average Loss  0.885200, Time  0.323170
2021-09-11 02:25:23.883990 : Epoch  3, Batch    963, Loss  0.883239, Average Loss  0.868604, Time  0.169797
2021-09-11 02:25:24.232741 : CheckPoint: Validation Loss  0.00025962, Best Loss  0.00025336
2021-09-11 02:25:25.503819 : Epoch  3, Batch    964, Loss  0.878206, Average Loss  0.868603, Time  0.169803
2021-09-11 02:25:25.763064 : Epoch  2, Batch    714, Loss  0.605172, Average Loss  0.615795, Time  0.233293
2021-09-11 02:25:26.616372 : Epoch  1, Batch    613, Loss  0.849643, Average Loss  0.885021, Time  0.241536
2021-09-11 02:25:27.111797 : Epoch  3, Batch    965, Loss  0.889395, Average Loss  0.868725, Time  0.171792
2021-09-11 02:25:27.307374 : Epoch  2, Batch    715, Loss  0.622031, Average Loss  0.615824, Time  0.231025
2021-09-11 02:25:28.721811 : Epoch  3, Batch    966, Loss  0.857851, Average Loss  0.868728, Time  0.169316
2021-09-11 02:25:28.851934 : Epoch  2, Batch    716, Loss  0.606021, Average Loss  0.615792, Time  0.244865
2021-09-11 02:25:29.351783 : Epoch  1, Batch    614, Loss  0.893243, Average Loss  0.885015, Time  0.239099
2021-09-11 02:25:30.344000 : Epoch  3, Batch    967, Loss  0.859853, Average Loss  0.868599, Time  0.169973
2021-09-11 02:25:30.395928 : Epoch  2, Batch    717, Loss  0.603750, Average Loss  0.615757, Time  0.231496
2021-09-11 02:25:31.954838 : Epoch  3, Batch    968, Loss  0.861042, Average Loss  0.868614, Time  0.169846
2021-09-11 02:25:32.169694 : Epoch  1, Batch    615, Loss  0.843873, Average Loss  0.884810, Time  0.421461
2021-09-11 02:25:32.201053 : Epoch  2, Batch    718, Loss  0.608405, Average Loss  0.615707, Time  0.451030
2021-09-11 02:25:33.585994 : Epoch  3, Batch    969, Loss  0.862802, Average Loss  0.868439, Time  0.169755
2021-09-11 02:25:33.793121 : Epoch  2, Batch    719, Loss  0.618627, Average Loss  0.615750, Time  0.236171
2021-09-11 02:25:34.876062 : Epoch  1, Batch    616, Loss  0.901119, Average Loss  0.884754, Time  0.242618
2021-09-11 02:25:35.194748 : Epoch  3, Batch    970, Loss  0.857272, Average Loss  0.868493, Time  0.169548
2021-09-11 02:25:35.324874 : Epoch  2, Batch    720, Loss  0.617563, Average Loss  0.615816, Time  0.233908
2021-09-11 02:25:36.820789 : Epoch  3, Batch    971, Loss  0.897621, Average Loss  0.868751, Time  0.169667
2021-09-11 02:25:36.878974 : Epoch  2, Batch    721, Loss  0.599835, Average Loss  0.615732, Time  0.235394
2021-09-11 02:25:37.599090 : Epoch  1, Batch    617, Loss  0.881397, Average Loss  0.884708, Time  0.238065
2021-09-11 02:25:38.445798 : Epoch  3, Batch    972, Loss  0.876947, Average Loss  0.868855, Time  0.169845
2021-09-11 02:25:40.007939 : Epoch  2, Batch    723, Loss  0.617240, Average Loss  0.615683, Time  0.231876
2021-09-11 02:25:40.076990 : Epoch  3, Batch    973, Loss  0.857056, Average Loss  0.868700, Time  0.169721
2021-09-11 02:25:40.234201 : Epoch  1, Batch    618, Loss  0.877788, Average Loss  0.884711, Time  0.240697
2021-09-11 02:25:41.544144 : Epoch  2, Batch    724, Loss  0.618108, Average Loss  0.615693, Time  0.232539
2021-09-11 02:25:41.699030 : Epoch  3, Batch    974, Loss  0.860792, Average Loss  0.868620, Time  0.169973
2021-09-11 02:25:42.871136 : Epoch  1, Batch    619, Loss  0.869471, Average Loss  0.884688, Time  0.239978
2021-09-11 02:25:43.084949 : Epoch  2, Batch    725, Loss  0.611710, Average Loss  0.615650, Time  0.244268
2021-09-11 02:25:43.301993 : Epoch  3, Batch    975, Loss  0.889625, Average Loss  0.868706, Time  0.169816
2021-09-11 02:25:44.626764 : Epoch  2, Batch    726, Loss  0.613262, Average Loss  0.615640, Time  0.231428
2021-09-11 02:25:44.924751 : Epoch  3, Batch    976, Loss  0.895155, Average Loss  0.868880, Time  0.169983
2021-09-11 02:25:45.530081 : Epoch  1, Batch    620, Loss  0.873810, Average Loss  0.884680, Time  0.241079
2021-09-11 02:25:46.166119 : Epoch  2, Batch    727, Loss  0.613811, Average Loss  0.615606, Time  0.235064
2021-09-11 02:25:46.553840 : Epoch  3, Batch    977, Loss  0.880682, Average Loss  0.868980, Time  0.169750
2021-09-11 02:25:48.132810 : Epoch  2, Batch    728, Loss  0.612764, Average Loss  0.615536, Time  0.364679
2021-09-11 02:25:48.181936 : Epoch  3, Batch    978, Loss  0.894544, Average Loss  0.869137, Time  0.169795
2021-09-11 02:25:48.236932 : Epoch  1, Batch    621, Loss  0.886585, Average Loss  0.884610, Time  0.314062
2021-09-11 02:25:49.676982 : Epoch  2, Batch    729, Loss  0.617799, Average Loss  0.615532, Time  0.232319
2021-09-11 02:25:50.903888 : Epoch  1, Batch    622, Loss  0.889182, Average Loss  0.884747, Time  0.246553
2021-09-11 02:25:51.293912 : Epoch  2, Batch    730, Loss  0.605128, Average Loss  0.615464, Time  0.240396
2021-09-11 02:25:52.843337 : Epoch  2, Batch    731, Loss  0.608206, Average Loss  0.615416, Time  0.235421
2021-09-11 02:25:53.542208 : Epoch  1, Batch    623, Loss  0.900130, Average Loss  0.884914, Time  0.240456
2021-09-11 02:25:54.433956 : Epoch  2, Batch    732, Loss  0.619100, Average Loss  0.615456, Time  0.237690
2021-09-11 02:25:56.037225 : Epoch  2, Batch    733, Loss  0.608078, Average Loss  0.615412, Time  0.231636
2021-09-11 02:25:56.261893 : Epoch  1, Batch    624, Loss  0.883875, Average Loss  0.884956, Time  0.247485
2021-09-11 02:25:57.669464 : Epoch  2, Batch    734, Loss  0.612578, Average Loss  0.615457, Time  0.265523
2021-09-11 02:25:59.069929 : Epoch  1, Batch    625, Loss  0.897376, Average Loss  0.885031, Time  0.243292
2021-09-11 02:25:59.313148 : Epoch  2, Batch    735, Loss  0.611215, Average Loss  0.615502, Time  0.240438
2021-09-11 02:26:00.970370 : Epoch  2, Batch    736, Loss  0.609666, Average Loss  0.615461, Time  0.236091
2021-09-11 02:26:01.718375 : Epoch  1, Batch    626, Loss  0.883003, Average Loss  0.884977, Time  0.240151
2021-09-11 02:26:02.550073 : Epoch  2, Batch    737, Loss  0.602786, Average Loss  0.615355, Time  0.234578
2021-09-11 02:26:04.113956 : Epoch  2, Batch    738, Loss  0.609603, Average Loss  0.615353, Time  0.231671
2021-09-11 02:26:04.378906 : Epoch  1, Batch    627, Loss  0.875597, Average Loss  0.884974, Time  0.240564
2021-09-11 02:26:05.683405 : Epoch  2, Batch    739, Loss  0.610765, Average Loss  0.615328, Time  0.240859
2021-09-11 02:26:07.090003 : Epoch  1, Batch    628, Loss  0.894417, Average Loss  0.885037, Time  0.290315
2021-09-11 02:26:07.259009 : Epoch  2, Batch    740, Loss  0.619644, Average Loss  0.615283, Time  0.261140
2021-09-11 02:26:08.853349 : Epoch  2, Batch    741, Loss  0.612259, Average Loss  0.615250, Time  0.231314
2021-09-11 02:26:09.753921 : Epoch  1, Batch    629, Loss  0.893003, Average Loss  0.885004, Time  0.247532
2021-09-11 02:26:10.441966 : Epoch  2, Batch    742, Loss  0.616681, Average Loss  0.615298, Time  0.234557
2021-09-11 02:26:11.982029 : Epoch  2, Batch    743, Loss  0.619109, Average Loss  0.615339, Time  0.237701
2021-09-11 02:26:12.412435 : Epoch  1, Batch    630, Loss  0.890608, Average Loss  0.885098, Time  0.238341
2021-09-11 02:26:13.515854 : Epoch  2, Batch    744, Loss  0.600157, Average Loss  0.615267, Time  0.235447
2021-09-11 02:26:15.272368 : Epoch  2, Batch    745, Loss  0.617826, Average Loss  0.615321, Time  0.443614
2021-09-11 02:26:15.319506 : Epoch  1, Batch    631, Loss  0.901140, Average Loss  0.885278, Time  0.463774
2021-09-11 02:26:16.817143 : Epoch  2, Batch    746, Loss  0.616739, Average Loss  0.615345, Time  0.231204
2021-09-11 02:26:17.986981 : Epoch  1, Batch    632, Loss  0.874997, Average Loss  0.885231, Time  0.243860
2021-09-11 02:26:18.456252 : Epoch  2, Batch    747, Loss  0.618254, Average Loss  0.615442, Time  0.234742
2021-09-11 02:26:20.105448 : Epoch  2, Batch    748, Loss  0.619402, Average Loss  0.615410, Time  0.236715
2021-09-11 02:26:20.670958 : Epoch  1, Batch    633, Loss  0.890280, Average Loss  0.885234, Time  0.249863
2021-09-11 02:26:21.661827 : Epoch  2, Batch    749, Loss  0.610018, Average Loss  0.615421, Time  0.237746
2021-09-11 02:26:23.513881 : Epoch  1, Batch    634, Loss  0.877134, Average Loss  0.885164, Time  0.428667
2021-09-11 02:26:23.567979 : Epoch  2, Batch    750, Loss  0.609367, Average Loss  0.615363, Time  0.450113
2021-09-11 02:26:25.140700 : Epoch  2, Batch    751, Loss  0.615300, Average Loss  0.615432, Time  0.231361
2021-09-11 02:26:26.195916 : Epoch  1, Batch    635, Loss  0.880836, Average Loss  0.885132, Time  0.239561
2021-09-11 02:26:26.731222 : Epoch  2, Batch    752, Loss  0.617143, Average Loss  0.615443, Time  0.231793
2021-09-11 02:26:28.307178 : Epoch  2, Batch    753, Loss  0.602939, Average Loss  0.615376, Time  0.235132
2021-09-11 02:26:28.884330 : Epoch  1, Batch    636, Loss  0.869965, Average Loss  0.884955, Time  0.241454
2021-09-11 02:26:29.866901 : Epoch  2, Batch    754, Loss  0.626960, Average Loss  0.615425, Time  0.234832
2021-09-11 02:26:31.632421 : Epoch  2, Batch    755, Loss  0.624923, Average Loss  0.615465, Time  0.378235
2021-09-11 02:26:31.707975 : Epoch  1, Batch    637, Loss  0.891976, Average Loss  0.884914, Time  0.325766
2021-09-11 02:26:33.208064 : Epoch  2, Batch    756, Loss  0.619936, Average Loss  0.615515, Time  0.232270
2021-09-11 02:26:34.485430 : Epoch  1, Batch    638, Loss  0.888057, Average Loss  0.884819, Time  0.237974
2021-09-11 02:26:34.811812 : Epoch  2, Batch    757, Loss  0.630701, Average Loss  0.615561, Time  0.238994
2021-09-11 02:26:36.512328 : Epoch  2, Batch    758, Loss  0.612860, Average Loss  0.615528, Time  0.273031
2021-09-11 02:26:37.228435 : Epoch  1, Batch    639, Loss  0.900243, Average Loss  0.884823, Time  0.240484
2021-09-11 02:26:38.422075 : Epoch  2, Batch    759, Loss  0.613472, Average Loss  0.615544, Time  0.272171
2021-09-11 02:26:39.903137 : Epoch  1, Batch    640, Loss  0.899571, Average Loss  0.884909, Time  0.238434
2021-09-11 02:26:40.228795 : Epoch  2, Batch    760, Loss  0.610265, Average Loss  0.615517, Time  0.243403
2021-09-11 02:26:42.041372 : Epoch  2, Batch    761, Loss  0.623002, Average Loss  0.615582, Time  0.261904
2021-09-11 02:26:42.563292 : Epoch  1, Batch    641, Loss  0.872262, Average Loss  0.884815, Time  0.237908
2021-09-11 02:26:43.723003 : Epoch  2, Batch    762, Loss  0.596626, Average Loss  0.615437, Time  0.239936
2021-09-11 02:26:45.352119 : Epoch  1, Batch    642, Loss  0.868095, Average Loss  0.884813, Time  0.393467
2021-09-11 02:26:45.419048 : Epoch  2, Batch    763, Loss  0.605164, Average Loss  0.615392, Time  0.336581
2021-09-11 02:26:46.985247 : Epoch  2, Batch    764, Loss  0.617491, Average Loss  0.615375, Time  0.242013
2021-09-11 02:26:48.079957 : Epoch  1, Batch    643, Loss  0.871079, Average Loss  0.884684, Time  0.243587
2021-09-11 02:26:48.582188 : Epoch  2, Batch    765, Loss  0.614883, Average Loss  0.615396, Time  0.240436
2021-09-11 02:26:50.227661 : Epoch  2, Batch    766, Loss  0.611339, Average Loss  0.615305, Time  0.239226
2021-09-11 02:26:50.980812 : Epoch  1, Batch    644, Loss  0.866568, Average Loss  0.884547, Time  0.240871
2021-09-11 02:26:51.935027 : Epoch  2, Batch    767, Loss  0.593599, Average Loss  0.615160, Time  0.246963
2021-09-11 02:26:53.756777 : Epoch  2, Batch    768, Loss  0.625338, Average Loss  0.615169, Time  0.442385
2021-09-11 02:26:53.799631 : Epoch  1, Batch    645, Loss  0.866021, Average Loss  0.884396, Time  0.386202
2021-09-11 02:26:55.459720 : Epoch  2, Batch    769, Loss  0.624575, Average Loss  0.615213, Time  0.244625
2021-09-11 02:26:56.536164 : Epoch  1, Batch    646, Loss  0.873288, Average Loss  0.884458, Time  0.245941
2021-09-11 02:26:57.154009 : Epoch  2, Batch    770, Loss  0.623241, Average Loss  0.615190, Time  0.238964
2021-09-11 02:26:58.784708 : Epoch  2, Batch    771, Loss  0.616140, Average Loss  0.615202, Time  0.247940
2021-09-11 02:26:59.193443 : Epoch  1, Batch    647, Loss  0.890663, Average Loss  0.884497, Time  0.248621
2021-09-11 02:27:00.455984 : Epoch  2, Batch    772, Loss  0.621996, Average Loss  0.615247, Time  0.243680
2021-09-11 02:27:02.249093 : Epoch  2, Batch    773, Loss  0.624436, Average Loss  0.615340, Time  0.428535
2021-09-11 02:27:02.291972 : Epoch  1, Batch    648, Loss  0.880807, Average Loss  0.884502, Time  0.460473
2021-09-11 02:27:03.909185 : Epoch  2, Batch    774, Loss  0.603791, Average Loss  0.615278, Time  0.237780
2021-09-11 02:27:05.010898 : Epoch  1, Batch    649, Loss  0.882105, Average Loss  0.884357, Time  0.240007
2021-09-11 02:27:05.799025 : Epoch  2, Batch    775, Loss  0.600327, Average Loss  0.615171, Time  0.247683
2021-09-11 02:27:07.671413 : Epoch  2, Batch    776, Loss  0.616857, Average Loss  0.615152, Time  0.397715
2021-09-11 02:27:07.725106 : Epoch  1, Batch    650, Loss  0.872937, Average Loss  0.884301, Time  0.322437
2021-09-11 02:27:09.335963 : Epoch  2, Batch    777, Loss  0.613020, Average Loss  0.615167, Time  0.248517
2021-09-11 02:27:10.419978 : Epoch  1, Batch    651, Loss  0.880626, Average Loss  0.884189, Time  0.242071
2021-09-11 02:27:10.988189 : Epoch  2, Batch    778, Loss  0.623159, Average Loss  0.615180, Time  0.241625
2021-09-11 02:27:12.686118 : Epoch  2, Batch    779, Loss  0.621946, Average Loss  0.615201, Time  0.247943
2021-09-11 02:27:13.067744 : Epoch  1, Batch    652, Loss  0.887442, Average Loss  0.884186, Time  0.238075
2021-09-11 02:27:14.337652 : Epoch  2, Batch    780, Loss  0.620163, Average Loss  0.615221, Time  0.240547
2021-09-11 02:27:15.695930 : Epoch  1, Batch    653, Loss  0.892989, Average Loss  0.884117, Time  0.237752
2021-09-11 02:27:15.981166 : Epoch  2, Batch    781, Loss  0.608559, Average Loss  0.615252, Time  0.265892
2021-09-11 02:27:17.654169 : Epoch  2, Batch    782, Loss  0.620315, Average Loss  0.615332, Time  0.242641
2021-09-11 02:27:18.325921 : Epoch  1, Batch    654, Loss  0.893555, Average Loss  0.884258, Time  0.240814
2021-09-11 02:27:19.293357 : Epoch  2, Batch    783, Loss  0.613998, Average Loss  0.615336, Time  0.264293
2021-09-11 02:27:21.142062 : Epoch  1, Batch    655, Loss  0.882583, Average Loss  0.884212, Time  0.241252
2021-09-11 02:27:23.816795 : Epoch  1, Batch    656, Loss  0.897729, Average Loss  0.884167, Time  0.244433
2021-09-11 02:27:25.136201 : Epoch  2, Batch    784, Loss  0.611839, Average Loss  0.615360, Time  0.254228
2021-09-11 02:27:26.441691 : Epoch  1, Batch    657, Loss  0.877715, Average Loss  0.884224, Time  0.248554
2021-09-11 02:27:26.779618 : Epoch  2, Batch    785, Loss  0.619486, Average Loss  0.615349, Time  0.265024
2021-09-11 02:27:28.590648 : Epoch  2, Batch    786, Loss  0.615382, Average Loss  0.615333, Time  0.262779
2021-09-11 02:27:29.237841 : Epoch  1, Batch    658, Loss  0.884062, Average Loss  0.884221, Time  0.243261
2021-09-11 02:27:30.338514 : Epoch  2, Batch    787, Loss  0.610702, Average Loss  0.615332, Time  0.260061
2021-09-11 02:27:30.389664 : Saving Model after 2-th Epoch.
2021-09-11 02:27:31.436736 : Epoch Finished.
2021-09-11 02:27:31.870057 : Epoch  1, Batch    659, Loss  0.887216, Average Loss  0.884227, Time  0.242195
2021-09-11 02:27:34.492946 : Epoch  1, Batch    660, Loss  0.860985, Average Loss  0.883992, Time  0.245520
2021-09-11 02:27:34.679724 : Batch Shuffled
2021-09-11 02:27:36.372448 : Epoch  3, Batch      1, Loss  0.603893, Average Loss  0.615217, Time  0.285454
2021-09-11 02:27:37.121002 : Epoch  1, Batch    661, Loss  0.879380, Average Loss  0.883935, Time  0.240047
2021-09-11 02:27:37.993317 : Epoch  3, Batch      2, Loss  0.615398, Average Loss  0.615168, Time  0.237012
2021-09-11 02:27:39.914812 : Epoch  1, Batch    662, Loss  0.874934, Average Loss  0.884011, Time  0.353688
2021-09-11 02:27:40.043038 : Epoch  3, Batch      3, Loss  0.616901, Average Loss  0.615142, Time  0.326049
2021-09-11 02:27:41.860738 : Epoch  3, Batch      4, Loss  0.601379, Average Loss  0.615094, Time  0.262872
2021-09-11 02:27:42.616355 : Epoch  1, Batch    663, Loss  0.879630, Average Loss  0.883893, Time  0.242341
2021-09-11 02:27:43.712313 : Epoch  3, Batch      5, Loss  0.636822, Average Loss  0.615188, Time  0.279403
2021-09-11 02:27:45.513023 : Epoch  1, Batch    664, Loss  0.871771, Average Loss  0.883825, Time  0.359623
2021-09-11 02:27:45.645659 : Epoch  3, Batch      6, Loss  0.607137, Average Loss  0.615104, Time  0.330269
2021-09-11 02:27:47.454500 : Epoch  3, Batch      7, Loss  0.627139, Average Loss  0.615156, Time  0.259990
2021-09-11 02:27:48.153411 : Epoch  1, Batch    665, Loss  0.871040, Average Loss  0.883680, Time  0.243010
2021-09-11 02:27:49.231448 : Epoch  3, Batch      8, Loss  0.627246, Average Loss  0.615215, Time  0.237551
2021-09-11 02:27:51.027443 : Epoch  1, Batch    666, Loss  0.886557, Average Loss  0.883690, Time  0.394875
2021-09-11 02:27:51.074705 : Epoch  3, Batch      9, Loss  0.608519, Average Loss  0.615207, Time  0.450799
2021-09-11 02:27:52.735885 : Epoch  3, Batch     10, Loss  0.608619, Average Loss  0.615148, Time  0.238412
2021-09-11 02:27:53.630397 : Epoch  1, Batch    667, Loss  0.878309, Average Loss  0.883560, Time  0.238149
2021-09-11 02:27:54.455958 : Epoch  3, Batch     11, Loss  0.615602, Average Loss  0.615140, Time  0.274949
2021-09-11 02:27:56.488507 : Epoch  1, Batch    668, Loss  0.871701, Average Loss  0.883532, Time  0.453954
2021-09-11 02:27:56.541739 : Epoch  3, Batch     12, Loss  0.614643, Average Loss  0.615165, Time  0.466506
2021-09-11 02:27:58.335569 : Epoch  3, Batch     13, Loss  0.615463, Average Loss  0.615175, Time  0.311118
2021-09-11 02:27:59.152242 : Epoch  1, Batch    669, Loss  0.871948, Average Loss  0.883469, Time  0.244806
2021-09-11 02:28:00.062130 : Epoch  3, Batch     14, Loss  0.609754, Average Loss  0.615194, Time  0.272071
2021-09-11 02:28:02.010842 : Epoch  1, Batch    670, Loss  0.876745, Average Loss  0.883340, Time  0.453104
2021-09-11 02:28:02.050112 : Epoch  3, Batch     15, Loss  0.612402, Average Loss  0.615213, Time  0.486814
2021-09-11 02:28:03.879107 : Epoch  3, Batch     16, Loss  0.609340, Average Loss  0.615172, Time  0.282540
2021-09-11 02:28:04.631468 : Epoch  1, Batch    671, Loss  0.876900, Average Loss  0.883185, Time  0.242222
2021-09-11 02:28:05.483362 : Epoch  3, Batch     17, Loss  0.598134, Average Loss  0.615129, Time  0.238841
2021-09-11 02:28:07.296347 : Epoch  3, Batch     18, Loss  0.601388, Average Loss  0.615077, Time  0.392790
2021-09-11 02:28:07.350850 : Epoch  1, Batch    672, Loss  0.887900, Average Loss  0.883141, Time  0.312046
2021-09-11 02:28:08.912666 : Epoch  3, Batch     19, Loss  0.620623, Average Loss  0.615151, Time  0.243809
2021-09-11 02:28:09.965813 : Epoch  1, Batch    673, Loss  0.880804, Average Loss  0.883160, Time  0.243102
2021-09-11 02:28:10.573241 : Epoch  3, Batch     20, Loss  0.618697, Average Loss  0.615176, Time  0.277358
2021-09-11 02:28:12.222023 : Epoch  3, Batch     21, Loss  0.614193, Average Loss  0.615178, Time  0.269293
2021-09-11 02:28:12.605226 : Epoch  1, Batch    674, Loss  0.880277, Average Loss  0.883140, Time  0.238225
2021-09-11 02:28:13.947017 : Epoch  3, Batch     22, Loss  0.621511, Average Loss  0.615198, Time  0.297292
2021-09-11 02:28:15.236974 : Epoch  1, Batch    675, Loss  0.884637, Average Loss  0.883103, Time  0.243498
2021-09-11 02:28:15.611328 : Epoch  3, Batch     23, Loss  0.607978, Average Loss  0.615178, Time  0.266433
2021-09-11 02:28:17.216964 : Epoch  3, Batch     24, Loss  0.618393, Average Loss  0.615194, Time  0.243420
2021-09-11 02:28:17.874467 : Epoch  1, Batch    676, Loss  0.898747, Average Loss  0.883303, Time  0.238615
2021-09-11 02:28:18.933162 : Epoch  3, Batch     25, Loss  0.621010, Average Loss  0.615190, Time  0.244225
2021-09-11 02:28:20.706836 : Epoch  1, Batch    677, Loss  0.882065, Average Loss  0.883185, Time  0.434808
2021-09-11 02:28:20.752038 : Epoch  3, Batch     26, Loss  0.615743, Average Loss  0.615162, Time  0.380585
2021-09-11 02:28:23.324839 : Epoch  1, Batch    678, Loss  0.865129, Average Loss  0.883197, Time  0.238639
2021-09-11 02:28:25.939059 : Epoch  1, Batch    679, Loss  0.879869, Average Loss  0.883152, Time  0.240234
2021-09-11 02:28:28.626024 : Epoch  1, Batch    680, Loss  0.853719, Average Loss  0.882896, Time  0.238166
2021-09-11 02:28:31.378916 : Epoch  1, Batch    681, Loss  0.884233, Average Loss  0.882976, Time  0.324206
2021-09-11 02:28:34.104010 : Epoch  1, Batch    682, Loss  0.879838, Average Loss  0.883009, Time  0.326473
2021-09-11 02:28:36.898034 : Epoch  1, Batch    683, Loss  0.877855, Average Loss  0.882918, Time  0.322587
2021-09-11 02:28:39.620974 : Epoch  1, Batch    684, Loss  0.869088, Average Loss  0.882797, Time  0.318548
2021-09-11 02:28:42.375869 : Epoch  1, Batch    685, Loss  0.867845, Average Loss  0.882741, Time  0.334467
2021-09-11 02:28:45.084841 : Epoch  1, Batch    686, Loss  0.902383, Average Loss  0.882996, Time  0.319689
2021-09-11 02:28:47.775877 : Epoch  1, Batch    687, Loss  0.885291, Average Loss  0.882998, Time  0.280951
2021-09-11 02:28:50.482894 : Epoch  1, Batch    688, Loss  0.874197, Average Loss  0.882858, Time  0.238120
2021-09-11 02:28:53.147915 : Epoch  1, Batch    689, Loss  0.889634, Average Loss  0.882853, Time  0.241648
2021-09-11 02:28:55.792891 : Epoch  1, Batch    690, Loss  0.894819, Average Loss  0.882919, Time  0.238097
2021-09-11 02:28:58.446382 : Epoch  1, Batch    691, Loss  0.874134, Average Loss  0.882800, Time  0.237614
2021-09-11 02:29:01.071954 : Epoch  1, Batch    692, Loss  0.871354, Average Loss  0.882873, Time  0.237908
2021-09-11 02:29:03.718466 : Epoch  1, Batch    693, Loss  0.877535, Average Loss  0.882884, Time  0.239112
2021-09-11 02:29:06.347920 : Epoch  1, Batch    694, Loss  0.896465, Average Loss  0.883038, Time  0.240225
2021-09-11 02:29:08.972856 : Epoch  1, Batch    695, Loss  0.880457, Average Loss  0.883058, Time  0.238204
2021-09-11 02:29:11.626437 : Epoch  1, Batch    696, Loss  0.864099, Average Loss  0.882944, Time  0.245281
2021-09-11 02:29:14.305468 : Epoch  1, Batch    697, Loss  0.905207, Average Loss  0.883010, Time  0.240884
2021-09-11 02:29:16.978838 : Epoch  1, Batch    698, Loss  0.856892, Average Loss  0.882834, Time  0.240813
2021-09-11 02:29:19.639976 : Epoch  1, Batch    699, Loss  0.869237, Average Loss  0.882772, Time  0.242740
2021-09-11 02:29:22.204703 : CheckPoint: Validation Loss  0.00025360, Best Loss  0.00025336
2021-09-11 02:29:22.348869 : Epoch  1, Batch    700, Loss  0.871959, Average Loss  0.882594, Time  0.273659
2021-09-11 02:29:23.811277 : Epoch  3, Batch     27, Loss  0.614166, Average Loss  0.615162, Time  0.243497
2021-09-11 02:29:25.377891 : Epoch  3, Batch     28, Loss  0.619445, Average Loss  0.615216, Time  0.234023
2021-09-11 02:29:27.008052 : Epoch  3, Batch     29, Loss  0.615654, Average Loss  0.615174, Time  0.235633
2021-09-11 02:29:28.584051 : Epoch  3, Batch     30, Loss  0.608376, Average Loss  0.615129, Time  0.240249
2021-09-11 02:29:30.137080 : Epoch  3, Batch     31, Loss  0.624410, Average Loss  0.615207, Time  0.231278
2021-09-11 02:29:31.680019 : Epoch  3, Batch     32, Loss  0.616071, Average Loss  0.615196, Time  0.231611
2021-09-11 02:29:33.247050 : Epoch  3, Batch     33, Loss  0.611265, Average Loss  0.615134, Time  0.231248
2021-09-11 02:29:34.783381 : Epoch  3, Batch     34, Loss  0.602916, Average Loss  0.615091, Time  0.231367
2021-09-11 02:29:36.404861 : Epoch  3, Batch     35, Loss  0.613673, Average Loss  0.615050, Time  0.312427
2021-09-11 02:29:37.955121 : Epoch  3, Batch     36, Loss  0.619101, Average Loss  0.615075, Time  0.231809
2021-09-11 02:29:39.551182 : Epoch  3, Batch     37, Loss  0.614010, Average Loss  0.615121, Time  0.232126
2021-09-11 02:29:41.117468 : Epoch  3, Batch     38, Loss  0.612459, Average Loss  0.615113, Time  0.235113
2021-09-11 02:29:42.692309 : Epoch  3, Batch     39, Loss  0.602175, Average Loss  0.615060, Time  0.231873
2021-09-11 02:29:44.251431 : Epoch  3, Batch     40, Loss  0.612080, Average Loss  0.615074, Time  0.231355
2021-09-11 02:29:45.809501 : Epoch  3, Batch     41, Loss  0.634612, Average Loss  0.615139, Time  0.231446
2021-09-11 02:29:47.357201 : Epoch  3, Batch     42, Loss  0.619444, Average Loss  0.615115, Time  0.231783
2021-09-11 02:29:49.000433 : Epoch  3, Batch     43, Loss  0.615659, Average Loss  0.615086, Time  0.266974
2021-09-11 02:29:50.631459 : Epoch  3, Batch     44, Loss  0.610386, Average Loss  0.615041, Time  0.231189
2021-09-11 02:29:52.210948 : Epoch  3, Batch     45, Loss  0.610387, Average Loss  0.615071, Time  0.231821
2021-09-11 02:29:53.823882 : Epoch  3, Batch     46, Loss  0.623073, Average Loss  0.615128, Time  0.272642
2021-09-11 02:29:55.370893 : Epoch  3, Batch     47, Loss  0.624103, Average Loss  0.615167, Time  0.232983
2021-09-11 02:29:56.989180 : Epoch  3, Batch     48, Loss  0.610721, Average Loss  0.615156, Time  0.242299
2021-09-11 02:29:58.677015 : Epoch  3, Batch     49, Loss  0.614157, Average Loss  0.615142, Time  0.320683
2021-09-11 02:30:00.277870 : Epoch  3, Batch     50, Loss  0.609644, Average Loss  0.615113, Time  0.234016
2021-09-11 02:30:01.869266 : Epoch  3, Batch     51, Loss  0.617334, Average Loss  0.615061, Time  0.243785
2021-09-11 02:30:03.754105 : Epoch  3, Batch     52, Loss  0.623499, Average Loss  0.615129, Time  0.304279
2021-09-11 02:30:05.369343 : Epoch  3, Batch     53, Loss  0.613396, Average Loss  0.615089, Time  0.249315
2021-09-11 02:30:07.043656 : Epoch  3, Batch     54, Loss  0.607022, Average Loss  0.615075, Time  0.246714
2021-09-11 02:30:08.688909 : Epoch  3, Batch     55, Loss  0.606095, Average Loss  0.615484, Time  0.238798
2021-09-11 02:30:10.283227 : Epoch  3, Batch     56, Loss  0.614788, Average Loss  0.615462, Time  0.239045
2021-09-11 02:30:11.933007 : Epoch  3, Batch     57, Loss  0.611923, Average Loss  0.615377, Time  0.265562
2021-09-11 02:30:13.559822 : Epoch  3, Batch     58, Loss  0.620060, Average Loss  0.615262, Time  0.237020
2021-09-11 02:30:15.176243 : Epoch  3, Batch     59, Loss  0.602964, Average Loss  0.615174, Time  0.242799
2021-09-11 02:30:16.783837 : Epoch  3, Batch     60, Loss  0.610325, Average Loss  0.615163, Time  0.237286
2021-09-11 02:30:18.473086 : Epoch  3, Batch     61, Loss  0.611686, Average Loss  0.615045, Time  0.330381
2021-09-11 02:30:20.153237 : Epoch  3, Batch     62, Loss  0.604052, Average Loss  0.615019, Time  0.243713
2021-09-11 02:30:21.783218 : Epoch  3, Batch     63, Loss  0.613832, Average Loss  0.615011, Time  0.239011
2021-09-11 02:30:23.479394 : Epoch  3, Batch     64, Loss  0.612510, Average Loss  0.615007, Time  0.310700
2021-09-11 02:30:25.107008 : Epoch  3, Batch     65, Loss  0.613050, Average Loss  0.614910, Time  0.233419
2021-09-11 02:30:26.680183 : Epoch  3, Batch     66, Loss  0.615730, Average Loss  0.614834, Time  0.241144
2021-09-11 02:30:28.317064 : Epoch  3, Batch     67, Loss  0.603749, Average Loss  0.614715, Time  0.312488
2021-09-11 02:30:28.840715 : CheckPoint: Validation Loss  0.00061977, Best Loss  0.00057296
2021-09-11 02:30:29.888192 : Epoch  3, Batch     68, Loss  0.614692, Average Loss  0.614685, Time  0.231709
2021-09-11 02:30:30.461933 : Epoch  3, Batch    979, Loss  0.861712, Average Loss  0.868977, Time  0.177710
2021-09-11 02:30:31.463402 : Epoch  3, Batch     69, Loss  0.607253, Average Loss  0.614621, Time  0.231291
2021-09-11 02:30:32.081982 : Epoch  3, Batch    980, Loss  0.882480, Average Loss  0.868954, Time  0.170353
2021-09-11 02:30:33.015453 : Epoch  3, Batch     70, Loss  0.604076, Average Loss  0.614546, Time  0.231574
2021-09-11 02:30:33.716780 : Epoch  3, Batch    981, Loss  0.897771, Average Loss  0.868992, Time  0.169955
2021-09-11 02:30:34.582024 : Epoch  3, Batch     71, Loss  0.612822, Average Loss  0.614530, Time  0.232873
2021-09-11 02:30:35.344986 : Epoch  3, Batch    982, Loss  0.864222, Average Loss  0.869000, Time  0.169789
2021-09-11 02:30:36.147929 : Epoch  3, Batch     72, Loss  0.609053, Average Loss  0.614448, Time  0.237286
2021-09-11 02:30:36.968829 : Epoch  3, Batch    983, Loss  0.905763, Average Loss  0.869269, Time  0.172254
2021-09-11 02:30:37.713849 : Epoch  3, Batch     73, Loss  0.630367, Average Loss  0.614471, Time  0.231271
2021-09-11 02:30:38.574823 : Epoch  3, Batch    984, Loss  0.884374, Average Loss  0.869364, Time  0.169745
2021-09-11 02:30:39.275421 : Epoch  3, Batch     74, Loss  0.605075, Average Loss  0.614344, Time  0.231314
2021-09-11 02:30:40.209840 : Epoch  3, Batch    985, Loss  0.878004, Average Loss  0.869367, Time  0.169442
2021-09-11 02:30:40.897901 : Epoch  3, Batch     75, Loss  0.612091, Average Loss  0.614366, Time  0.314355
2021-09-11 02:30:41.828783 : Epoch  3, Batch    986, Loss  0.893396, Average Loss  0.869427, Time  0.169874
2021-09-11 02:30:42.460710 : Epoch  3, Batch     76, Loss  0.617591, Average Loss  0.614332, Time  0.233987
2021-09-11 02:30:43.467769 : Epoch  3, Batch    987, Loss  0.866543, Average Loss  0.869455, Time  0.169881
2021-09-11 02:30:44.008125 : Epoch  3, Batch     77, Loss  0.608162, Average Loss  0.614288, Time  0.231260
2021-09-11 02:30:45.095997 : Epoch  3, Batch    988, Loss  0.852917, Average Loss  0.869460, Time  0.169903
2021-09-11 02:30:45.572404 : Epoch  3, Batch     78, Loss  0.606269, Average Loss  0.614190, Time  0.235569
2021-09-11 02:30:46.729810 : Epoch  3, Batch    989, Loss  0.876916, Average Loss  0.869456, Time  0.172217
2021-09-11 02:30:47.117897 : Epoch  3, Batch     79, Loss  0.618561, Average Loss  0.614274, Time  0.232253
2021-09-11 02:30:48.351791 : Epoch  3, Batch    990, Loss  0.881965, Average Loss  0.869506, Time  0.169927
2021-09-11 02:30:48.698403 : Epoch  3, Batch     80, Loss  0.614962, Average Loss  0.614241, Time  0.246647
2021-09-11 02:30:49.987779 : Epoch  3, Batch    991, Loss  0.900384, Average Loss  0.869616, Time  0.172064
2021-09-11 02:30:50.304102 : Epoch  3, Batch     81, Loss  0.623423, Average Loss  0.614231, Time  0.234624
2021-09-11 02:30:51.618988 : Epoch  3, Batch    992, Loss  0.864373, Average Loss  0.869635, Time  0.169847
2021-09-11 02:30:51.958932 : Epoch  3, Batch     82, Loss  0.613370, Average Loss  0.614201, Time  0.234606
2021-09-11 02:30:53.244748 : Epoch  3, Batch    993, Loss  0.894763, Average Loss  0.869803, Time  0.169648
2021-09-11 02:30:53.517998 : Epoch  3, Batch     83, Loss  0.614800, Average Loss  0.614190, Time  0.231992
2021-09-11 02:30:54.885001 : Epoch  3, Batch    994, Loss  0.866768, Average Loss  0.869730, Time  0.169962
2021-09-11 02:30:55.077075 : Epoch  3, Batch     84, Loss  0.615440, Average Loss  0.614166, Time  0.232425
2021-09-11 02:30:56.502748 : Epoch  3, Batch    995, Loss  0.886978, Average Loss  0.869701, Time  0.169714
2021-09-11 02:30:56.719958 : Epoch  3, Batch     85, Loss  0.607361, Average Loss  0.614092, Time  0.234133
2021-09-11 02:30:58.108763 : Epoch  3, Batch    996, Loss  0.850178, Average Loss  0.869745, Time  0.169824
2021-09-11 02:30:58.273438 : Epoch  3, Batch     86, Loss  0.611237, Average Loss  0.614048, Time  0.231665
2021-09-11 02:30:59.724775 : Epoch  3, Batch    997, Loss  0.889756, Average Loss  0.869897, Time  0.172002
2021-09-11 02:30:59.818449 : Epoch  3, Batch     87, Loss  0.617256, Average Loss  0.614043, Time  0.233462
2021-09-11 02:31:01.342008 : Epoch  3, Batch    998, Loss  0.867940, Average Loss  0.869891, Time  0.169723
2021-09-11 02:31:01.359885 : Epoch  3, Batch     88, Loss  0.611544, Average Loss  0.614075, Time  0.231907
2021-09-11 02:31:02.910852 : Epoch  3, Batch     89, Loss  0.614381, Average Loss  0.614067, Time  0.236099
2021-09-11 02:31:02.960787 : Epoch  3, Batch    999, Loss  0.854815, Average Loss  0.869928, Time  0.169785
2021-09-11 02:31:04.479014 : Epoch  3, Batch     90, Loss  0.615701, Average Loss  0.614044, Time  0.239004
2021-09-11 02:31:04.565001 : Epoch  3, Batch   1000, Loss  0.865710, Average Loss  0.869882, Time  0.169773
2021-09-11 02:31:06.027977 : Epoch  3, Batch     91, Loss  0.606302, Average Loss  0.613996, Time  0.239500
2021-09-11 02:31:06.191979 : Epoch  3, Batch   1001, Loss  0.853373, Average Loss  0.869809, Time  0.169669
2021-09-11 02:31:07.575995 : Epoch  3, Batch     92, Loss  0.607364, Average Loss  0.613928, Time  0.231836
2021-09-11 02:31:07.766690 : Epoch  3, Batch   1002, Loss  0.892402, Average Loss  0.870014, Time  0.169981
2021-09-11 02:31:09.115235 : Epoch  3, Batch     93, Loss  0.622070, Average Loss  0.613976, Time  0.231587
2021-09-11 02:31:09.372739 : Epoch  3, Batch   1003, Loss  0.874617, Average Loss  0.870088, Time  0.170527
2021-09-11 02:31:10.646339 : Epoch  3, Batch     94, Loss  0.616158, Average Loss  0.613997, Time  0.231312
2021-09-11 02:31:10.979933 : Epoch  3, Batch   1004, Loss  0.915061, Average Loss  0.870463, Time  0.179226
2021-09-11 02:31:12.194870 : Epoch  3, Batch     95, Loss  0.607219, Average Loss  0.613961, Time  0.234502
2021-09-11 02:31:12.596029 : Epoch  3, Batch   1005, Loss  0.868307, Average Loss  0.870552, Time  0.181308
2021-09-11 02:31:13.768424 : Epoch  3, Batch     96, Loss  0.613721, Average Loss  0.613891, Time  0.234376
2021-09-11 02:31:14.196037 : Epoch  3, Batch   1006, Loss  0.864108, Average Loss  0.870510, Time  0.173316
2021-09-11 02:31:15.809029 : Epoch  3, Batch   1007, Loss  0.883762, Average Loss  0.870584, Time  0.173848
2021-09-11 02:31:17.436033 : Epoch  3, Batch   1008, Loss  0.872807, Average Loss  0.870640, Time  0.183300
2021-09-11 02:31:19.006212 : Epoch  3, Batch     97, Loss  0.622611, Average Loss  0.613852, Time  0.239845
2021-09-11 02:31:19.045854 : Epoch  3, Batch   1009, Loss  0.870193, Average Loss  0.870558, Time  0.169931
2021-09-11 02:31:20.645783 : Epoch  3, Batch   1010, Loss  0.872826, Average Loss  0.870683, Time  0.169843
2021-09-11 02:31:20.651904 : Epoch  3, Batch     98, Loss  0.605624, Average Loss  0.613753, Time  0.242829
2021-09-11 02:31:22.265719 : Epoch  3, Batch   1011, Loss  0.867399, Average Loss  0.870620, Time  0.181134
2021-09-11 02:31:22.305091 : Epoch  3, Batch     99, Loss  0.608642, Average Loss  0.613691, Time  0.243143
2021-09-11 02:31:23.891868 : Epoch  3, Batch   1012, Loss  0.863091, Average Loss  0.870349, Time  0.180596
2021-09-11 02:31:23.956616 : Epoch  3, Batch    100, Loss  0.619366, Average Loss  0.613767, Time  0.252151
2021-09-11 02:31:25.497029 : Epoch  3, Batch   1013, Loss  0.864767, Average Loss  0.870356, Time  0.169926
2021-09-11 02:31:25.600112 : Epoch  3, Batch    101, Loss  0.610782, Average Loss  0.613723, Time  0.246143
2021-09-11 02:31:27.110738 : Epoch  3, Batch   1014, Loss  0.853760, Average Loss  0.870239, Time  0.173402
2021-09-11 02:31:27.218233 : Epoch  3, Batch    102, Loss  0.599053, Average Loss  0.613640, Time  0.241603
2021-09-11 02:31:28.723752 : Epoch  3, Batch   1015, Loss  0.826179, Average Loss  0.870111, Time  0.170303
2021-09-11 02:31:28.997646 : Epoch  3, Batch    103, Loss  0.613952, Average Loss  0.613617, Time  0.271881
2021-09-11 02:31:30.380031 : Epoch  3, Batch   1016, Loss  0.849952, Average Loss  0.870027, Time  0.170384
2021-09-11 02:31:30.612676 : Epoch  3, Batch    104, Loss  0.615583, Average Loss  0.613625, Time  0.235944
2021-09-11 02:31:31.996823 : Epoch  3, Batch   1017, Loss  0.886687, Average Loss  0.870086, Time  0.169940
2021-09-11 02:31:32.322564 : Epoch  3, Batch    105, Loss  0.611112, Average Loss  0.613649, Time  0.316978
2021-09-11 02:31:33.635959 : Epoch  3, Batch   1018, Loss  0.885477, Average Loss  0.870122, Time  0.170109
2021-09-11 02:31:34.114902 : Epoch  3, Batch    106, Loss  0.605052, Average Loss  0.613580, Time  0.244563
2021-09-11 02:31:35.282794 : Epoch  3, Batch   1019, Loss  0.870564, Average Loss  0.870211, Time  0.173674
2021-09-11 02:31:35.722366 : Epoch  3, Batch    107, Loss  0.620342, Average Loss  0.613664, Time  0.238657
2021-09-11 02:31:36.921789 : Epoch  3, Batch   1020, Loss  0.901146, Average Loss  0.870131, Time  0.170074
2021-09-11 02:31:37.398462 : Epoch  3, Batch    108, Loss  0.611359, Average Loss  0.613609, Time  0.237689
2021-09-11 02:31:38.553817 : Epoch  3, Batch   1021, Loss  0.872354, Average Loss  0.870154, Time  0.178302
2021-09-11 02:31:39.089200 : Epoch  3, Batch    109, Loss  0.615547, Average Loss  0.613606, Time  0.243754
2021-09-11 02:31:40.165845 : Epoch  3, Batch   1022, Loss  0.868607, Average Loss  0.870076, Time  0.170368
2021-09-11 02:31:40.748595 : Epoch  3, Batch    110, Loss  0.600089, Average Loss  0.613540, Time  0.247355
2021-09-11 02:31:41.810771 : Epoch  3, Batch   1023, Loss  0.840055, Average Loss  0.869981, Time  0.182814
2021-09-11 02:31:42.454428 : Epoch  3, Batch    111, Loss  0.602431, Average Loss  0.613449, Time  0.241319
2021-09-11 02:31:43.452776 : Epoch  3, Batch   1024, Loss  0.897550, Average Loss  0.870171, Time  0.170044
2021-09-11 02:31:44.106037 : Epoch  3, Batch    112, Loss  0.609955, Average Loss  0.613445, Time  0.234883
2021-09-11 02:31:45.116018 : Epoch  3, Batch   1025, Loss  0.865940, Average Loss  0.870256, Time  0.179159
2021-09-11 02:31:45.695895 : Epoch  3, Batch    113, Loss  0.622437, Average Loss  0.613506, Time  0.235738
2021-09-11 02:31:46.739747 : Epoch  3, Batch   1026, Loss  0.887437, Average Loss  0.870376, Time  0.176890
2021-09-11 02:31:47.315928 : Epoch  3, Batch    114, Loss  0.608046, Average Loss  0.613463, Time  0.240332
2021-09-11 02:31:48.361032 : Epoch  3, Batch   1027, Loss  0.879246, Average Loss  0.870462, Time  0.170005
2021-09-11 02:31:48.940039 : Epoch  3, Batch    115, Loss  0.617719, Average Loss  0.613525, Time  0.244828
2021-09-11 02:31:49.989024 : Epoch  3, Batch   1028, Loss  0.850178, Average Loss  0.870452, Time  0.170030
2021-09-11 02:31:50.565037 : Epoch  3, Batch    116, Loss  0.610749, Average Loss  0.613516, Time  0.234251
2021-09-11 02:31:51.628796 : Epoch  3, Batch   1029, Loss  0.853106, Average Loss  0.870416, Time  0.173906
2021-09-11 02:31:52.163193 : Epoch  3, Batch    117, Loss  0.605937, Average Loss  0.613438, Time  0.241516
2021-09-11 02:31:53.250744 : Epoch  3, Batch   1030, Loss  0.886391, Average Loss  0.870471, Time  0.173534
2021-09-11 02:31:53.848063 : Epoch  3, Batch    118, Loss  0.613556, Average Loss  0.613443, Time  0.232750
2021-09-11 02:31:54.860760 : Epoch  3, Batch   1031, Loss  0.887749, Average Loss  0.870526, Time  0.171093
2021-09-11 02:31:55.672419 : Epoch  3, Batch    119, Loss  0.608281, Average Loss  0.613437, Time  0.273589
2021-09-11 02:31:56.470012 : Epoch  3, Batch   1032, Loss  0.895546, Average Loss  0.870775, Time  0.169835
2021-09-11 02:31:57.472304 : Epoch  3, Batch    120, Loss  0.613290, Average Loss  0.613421, Time  0.244175
2021-09-11 02:31:58.076737 : Epoch  3, Batch   1033, Loss  0.853714, Average Loss  0.870641, Time  0.176049
2021-09-11 02:31:59.069872 : Epoch  3, Batch    121, Loss  0.601538, Average Loss  0.613383, Time  0.239122
2021-09-11 02:31:59.693035 : Epoch  3, Batch   1034, Loss  0.849374, Average Loss  0.870550, Time  0.170329
2021-09-11 02:32:00.667792 : Epoch  3, Batch    122, Loss  0.602960, Average Loss  0.613289, Time  0.237580
2021-09-11 02:32:01.300834 : Epoch  3, Batch   1035, Loss  0.846182, Average Loss  0.870372, Time  0.176552
2021-09-11 02:32:02.253962 : Epoch  3, Batch    123, Loss  0.611017, Average Loss  0.613259, Time  0.240189
2021-09-11 02:32:02.935740 : Epoch  3, Batch   1036, Loss  0.877322, Average Loss  0.870494, Time  0.173016
2021-09-11 02:32:03.921370 : Epoch  3, Batch    124, Loss  0.609733, Average Loss  0.613277, Time  0.235317
2021-09-11 02:32:04.570029 : Epoch  3, Batch   1037, Loss  0.905345, Average Loss  0.870588, Time  0.185371
2021-09-11 02:32:05.487183 : Epoch  3, Batch    125, Loss  0.609509, Average Loss  0.613265, Time  0.236992
2021-09-11 02:32:06.188043 : Epoch  3, Batch   1038, Loss  0.890156, Average Loss  0.870489, Time  0.173040
2021-09-11 02:32:07.049363 : Epoch  3, Batch    126, Loss  0.630381, Average Loss  0.613347, Time  0.232134
2021-09-11 02:32:07.821014 : Epoch  3, Batch   1039, Loss  0.886941, Average Loss  0.870520, Time  0.178324
2021-09-11 02:32:09.452893 : Epoch  3, Batch   1040, Loss  0.867646, Average Loss  0.870499, Time  0.179201
2021-09-11 02:32:11.070785 : Epoch  3, Batch   1041, Loss  0.864629, Average Loss  0.870487, Time  0.176933
2021-09-11 02:32:12.672034 : Epoch  3, Batch   1042, Loss  0.876093, Average Loss  0.870396, Time  0.173114
2021-09-11 02:32:14.303021 : Epoch  3, Batch   1043, Loss  0.847728, Average Loss  0.870359, Time  0.170811
2021-09-11 02:32:15.916809 : Epoch  3, Batch   1044, Loss  0.898103, Average Loss  0.870273, Time  0.169994
2021-09-11 02:32:17.537033 : Epoch  3, Batch   1045, Loss  0.869382, Average Loss  0.870094, Time  0.170648
2021-09-11 02:32:19.144006 : Epoch  3, Batch   1046, Loss  0.864141, Average Loss  0.869927, Time  0.169838
2021-09-11 02:32:20.781984 : Epoch  3, Batch   1047, Loss  0.868750, Average Loss  0.869933, Time  0.170183
2021-09-11 02:32:22.415000 : Epoch  3, Batch   1048, Loss  0.876636, Average Loss  0.869992, Time  0.169848
2021-09-11 02:32:24.037761 : Epoch  3, Batch   1049, Loss  0.883794, Average Loss  0.870199, Time  0.170017
2021-09-11 02:32:25.674995 : Epoch  3, Batch   1050, Loss  0.854429, Average Loss  0.870035, Time  0.171874
2021-09-11 02:32:27.306919 : Epoch  3, Batch   1051, Loss  0.917902, Average Loss  0.870284, Time  0.169899
2021-09-11 02:32:28.927973 : Epoch  3, Batch   1052, Loss  0.880408, Average Loss  0.870563, Time  0.170279
2021-09-11 02:32:30.601005 : Epoch  3, Batch   1053, Loss  0.901270, Average Loss  0.870707, Time  0.169657
2021-09-11 02:32:32.232003 : Epoch  3, Batch   1054, Loss  0.872727, Average Loss  0.870881, Time  0.169887
2021-09-11 02:32:33.861740 : Epoch  3, Batch   1055, Loss  0.862929, Average Loss  0.870803, Time  0.169543
2021-09-11 02:32:35.489744 : Epoch  3, Batch   1056, Loss  0.874618, Average Loss  0.870698, Time  0.169872
2021-09-11 02:32:37.126829 : Epoch  3, Batch   1057, Loss  0.883709, Average Loss  0.870712, Time  0.169861
2021-09-11 02:32:38.749910 : Epoch  3, Batch   1058, Loss  0.860473, Average Loss  0.870839, Time  0.170671
2021-09-11 02:32:40.376787 : Epoch  3, Batch   1059, Loss  0.862506, Average Loss  0.870912, Time  0.169919
2021-09-11 02:32:41.988988 : Epoch  3, Batch   1060, Loss  0.890566, Average Loss  0.871096, Time  0.169508
2021-09-11 02:32:43.610000 : Epoch  3, Batch   1061, Loss  0.864153, Average Loss  0.871089, Time  0.169531
2021-09-11 02:32:45.204997 : Epoch  3, Batch   1062, Loss  0.891136, Average Loss  0.871143, Time  0.169868
2021-09-11 02:32:46.852909 : Epoch  3, Batch   1063, Loss  0.891869, Average Loss  0.871284, Time  0.170078
2021-09-11 02:32:48.490988 : Epoch  3, Batch   1064, Loss  0.880147, Average Loss  0.871448, Time  0.169982
2021-09-11 02:32:50.108809 : Epoch  3, Batch   1065, Loss  0.863446, Average Loss  0.871333, Time  0.169692
2021-09-11 02:32:51.740986 : Epoch  3, Batch   1066, Loss  0.857675, Average Loss  0.871377, Time  0.170130
2021-09-11 02:32:53.355997 : Epoch  3, Batch   1067, Loss  0.854569, Average Loss  0.871361, Time  0.169953
2021-09-11 02:32:54.978995 : Epoch  3, Batch   1068, Loss  0.873634, Average Loss  0.871336, Time  0.169708
2021-09-11 02:32:56.599763 : Epoch  3, Batch   1069, Loss  0.855299, Average Loss  0.871190, Time  0.169739
2021-09-11 02:32:58.217000 : Epoch  3, Batch   1070, Loss  0.863482, Average Loss  0.871143, Time  0.171913
2021-09-11 02:32:59.847839 : Epoch  3, Batch   1071, Loss  0.877108, Average Loss  0.871393, Time  0.169592
2021-09-11 02:33:01.462982 : Epoch  3, Batch   1072, Loss  0.875274, Average Loss  0.871638, Time  0.169680
2021-09-11 02:33:03.079792 : Epoch  3, Batch   1073, Loss  0.879648, Average Loss  0.871701, Time  0.169814
2021-09-11 02:33:04.729996 : Epoch  3, Batch   1074, Loss  0.858936, Average Loss  0.871648, Time  0.169631
2021-09-11 02:33:06.272779 : CheckPoint: Validation Loss  0.00026025, Best Loss  0.00025336
2021-09-11 02:33:06.345994 : Epoch  3, Batch   1075, Loss  0.836067, Average Loss  0.871402, Time  0.170120
2021-09-11 02:33:07.916851 : Epoch  3, Batch    127, Loss  0.624394, Average Loss  0.613443, Time  0.317127
2021-09-11 02:33:07.953768 : Epoch  3, Batch   1076, Loss  0.880830, Average Loss  0.871513, Time  0.169919
2021-09-11 02:33:09.462018 : Epoch  3, Batch    128, Loss  0.619177, Average Loss  0.613429, Time  0.231541
2021-09-11 02:33:09.566996 : Epoch  3, Batch   1077, Loss  0.856192, Average Loss  0.871450, Time  0.169791
2021-09-11 02:33:10.999216 : Epoch  3, Batch    129, Loss  0.608047, Average Loss  0.613439, Time  0.232013
2021-09-11 02:33:11.179912 : Epoch  3, Batch   1078, Loss  0.871705, Average Loss  0.871289, Time  0.169781
2021-09-11 02:33:12.545149 : Epoch  3, Batch    130, Loss  0.599615, Average Loss  0.613418, Time  0.231140
2021-09-11 02:33:14.101436 : Epoch  3, Batch    131, Loss  0.615060, Average Loss  0.613451, Time  0.234234
2021-09-11 02:33:15.702902 : Epoch  3, Batch    132, Loss  0.599007, Average Loss  0.613353, Time  0.239728
2021-09-11 02:33:17.257329 : Epoch  3, Batch    133, Loss  0.607750, Average Loss  0.613304, Time  0.231732
2021-09-11 02:33:18.878202 : Epoch  3, Batch    134, Loss  0.609854, Average Loss  0.613354, Time  0.237076
2021-09-11 02:33:20.414160 : Epoch  3, Batch    135, Loss  0.603286, Average Loss  0.613311, Time  0.234558
2021-09-11 02:33:21.959385 : Epoch  3, Batch    136, Loss  0.610755, Average Loss  0.613279, Time  0.234242
2021-09-11 02:33:23.503919 : Epoch  3, Batch    137, Loss  0.607462, Average Loss  0.613226, Time  0.235644
2021-09-11 02:33:25.142072 : Epoch  3, Batch    138, Loss  0.612964, Average Loss  0.613232, Time  0.313377
2021-09-11 02:33:26.690704 : Epoch  3, Batch    139, Loss  0.605212, Average Loss  0.613192, Time  0.231395
2021-09-11 02:33:28.228002 : Epoch  3, Batch    140, Loss  0.613212, Average Loss  0.613189, Time  0.236137
2021-09-11 02:33:29.761957 : Epoch  3, Batch    141, Loss  0.606730, Average Loss  0.613158, Time  0.231423
2021-09-11 02:33:31.303031 : Epoch  3, Batch    142, Loss  0.609848, Average Loss  0.613119, Time  0.231573
2021-09-11 02:33:31.496780 : CheckPoint: Validation Loss  0.00030923, Best Loss  0.00029681
2021-09-11 02:33:32.845072 : Epoch  3, Batch    143, Loss  0.602931, Average Loss  0.613108, Time  0.235195
2021-09-11 02:33:34.126285 : Epoch  1, Batch    701, Loss  0.854881, Average Loss  0.882409, Time  0.241054
2021-09-11 02:33:34.411979 : Epoch  3, Batch    144, Loss  0.614900, Average Loss  0.613141, Time  0.231544
2021-09-11 02:33:35.940093 : Epoch  3, Batch    145, Loss  0.614485, Average Loss  0.613118, Time  0.231070
2021-09-11 02:33:36.762355 : Epoch  1, Batch    702, Loss  0.875071, Average Loss  0.882308, Time  0.244217
2021-09-11 02:33:37.509144 : Epoch  3, Batch    146, Loss  0.613259, Average Loss  0.613144, Time  0.231553
2021-09-11 02:33:39.054979 : Epoch  3, Batch    147, Loss  0.607195, Average Loss  0.613117, Time  0.231707
2021-09-11 02:33:39.392811 : Epoch  1, Batch    703, Loss  0.879307, Average Loss  0.882163, Time  0.244033
2021-09-11 02:33:40.619835 : Epoch  3, Batch    148, Loss  0.603158, Average Loss  0.613077, Time  0.242008
2021-09-11 02:33:42.157940 : Epoch  1, Batch    704, Loss  0.888860, Average Loss  0.882177, Time  0.372038
2021-09-11 02:33:42.237854 : Epoch  3, Batch    149, Loss  0.611350, Average Loss  0.613085, Time  0.306089
2021-09-11 02:33:43.783938 : Epoch  3, Batch    150, Loss  0.608551, Average Loss  0.613114, Time  0.231435
2021-09-11 02:33:44.836378 : Epoch  1, Batch    705, Loss  0.867837, Average Loss  0.882092, Time  0.248232
2021-09-11 02:33:45.369922 : Epoch  3, Batch    151, Loss  0.624177, Average Loss  0.613187, Time  0.231507
2021-09-11 02:33:46.924385 : Epoch  3, Batch    152, Loss  0.611075, Average Loss  0.613188, Time  0.233450
2021-09-11 02:33:47.483963 : Epoch  1, Batch    706, Loss  0.874925, Average Loss  0.882121, Time  0.243520
2021-09-11 02:33:48.460023 : Epoch  3, Batch    153, Loss  0.603702, Average Loss  0.613109, Time  0.231199
2021-09-11 02:33:50.136166 : Epoch  3, Batch    154, Loss  0.605317, Average Loss  0.613074, Time  0.378827
2021-09-11 02:33:50.203855 : Epoch  1, Batch    707, Loss  0.904608, Average Loss  0.882179, Time  0.318784
2021-09-11 02:33:51.689854 : Epoch  3, Batch    155, Loss  0.604750, Average Loss  0.613014, Time  0.231141
2021-09-11 02:33:52.842935 : Epoch  1, Batch    708, Loss  0.897653, Average Loss  0.882222, Time  0.238165
2021-09-11 02:33:53.224975 : Epoch  3, Batch    156, Loss  0.610811, Average Loss  0.612973, Time  0.233656
2021-09-11 02:33:54.784970 : Epoch  3, Batch    157, Loss  0.620028, Average Loss  0.613072, Time  0.234758
2021-09-11 02:33:55.581796 : Epoch  1, Batch    709, Loss  0.896838, Average Loss  0.882206, Time  0.242407
2021-09-11 02:33:56.371144 : Epoch  3, Batch    158, Loss  0.610284, Average Loss  0.613034, Time  0.234241
2021-09-11 02:33:57.915884 : Epoch  3, Batch    159, Loss  0.603693, Average Loss  0.612969, Time  0.235224
2021-09-11 02:33:58.275448 : Epoch  1, Batch    710, Loss  0.887373, Average Loss  0.882209, Time  0.237975
2021-09-11 02:33:59.457959 : Epoch  3, Batch    160, Loss  0.611916, Average Loss  0.612938, Time  0.231559
2021-09-11 02:34:01.099847 : Epoch  1, Batch    711, Loss  0.875524, Average Loss  0.882039, Time  0.428729
2021-09-11 02:34:01.148999 : Epoch  3, Batch    161, Loss  0.610328, Average Loss  0.612892, Time  0.367814
2021-09-11 02:34:02.700879 : Epoch  3, Batch    162, Loss  0.605884, Average Loss  0.612872, Time  0.235359
2021-09-11 02:34:03.750164 : Epoch  1, Batch    712, Loss  0.888590, Average Loss  0.882109, Time  0.240693
2021-09-11 02:34:04.235690 : Epoch  3, Batch    163, Loss  0.614397, Average Loss  0.612897, Time  0.231845
2021-09-11 02:34:05.786951 : Epoch  3, Batch    164, Loss  0.622857, Average Loss  0.612934, Time  0.231443
2021-09-11 02:34:06.380983 : Epoch  1, Batch    713, Loss  0.877864, Average Loss  0.882008, Time  0.238028
2021-09-11 02:34:07.317973 : Epoch  3, Batch    165, Loss  0.611329, Average Loss  0.612905, Time  0.231601
2021-09-11 02:34:09.004797 : Epoch  3, Batch    166, Loss  0.604816, Average Loss  0.612915, Time  0.375170
2021-09-11 02:34:09.077908 : Epoch  1, Batch    714, Loss  0.883859, Average Loss  0.882029, Time  0.317211
2021-09-11 02:34:10.549743 : Epoch  3, Batch    167, Loss  0.607810, Average Loss  0.612819, Time  0.233416
2021-09-11 02:34:11.725531 : Epoch  1, Batch    715, Loss  0.876313, Average Loss  0.881984, Time  0.250256
2021-09-11 02:34:12.099443 : Epoch  3, Batch    168, Loss  0.607429, Average Loss  0.612732, Time  0.231377
2021-09-11 02:34:13.644309 : Epoch  3, Batch    169, Loss  0.610380, Average Loss  0.612684, Time  0.232209
2021-09-11 02:34:14.390740 : Epoch  1, Batch    716, Loss  0.878471, Average Loss  0.881965, Time  0.241518
2021-09-11 02:34:15.207161 : Epoch  3, Batch    170, Loss  0.620389, Average Loss  0.612632, Time  0.237000
2021-09-11 02:34:16.764982 : Epoch  3, Batch    171, Loss  0.610696, Average Loss  0.612621, Time  0.235359
2021-09-11 02:34:17.069468 : Epoch  1, Batch    717, Loss  0.855319, Average Loss  0.881826, Time  0.238784
2021-09-11 02:34:18.304435 : Epoch  3, Batch    172, Loss  0.606707, Average Loss  0.612588, Time  0.231326
2021-09-11 02:34:19.827402 : Epoch  1, Batch    718, Loss  0.875646, Average Loss  0.881874, Time  0.358055
2021-09-11 02:34:19.917934 : Epoch  3, Batch    173, Loss  0.624406, Average Loss  0.612658, Time  0.292999
2021-09-11 02:34:21.585358 : Epoch  3, Batch    174, Loss  0.617541, Average Loss  0.612631, Time  0.267029
2021-09-11 02:34:22.486248 : Epoch  1, Batch    719, Loss  0.869960, Average Loss  0.881803, Time  0.239224
2021-09-11 02:34:23.342955 : Epoch  3, Batch    175, Loss  0.620341, Average Loss  0.612750, Time  0.247660
2021-09-11 02:34:24.882227 : Epoch  3, Batch    176, Loss  0.592880, Average Loss  0.612688, Time  0.232950
2021-09-11 02:34:25.123406 : Epoch  1, Batch    720, Loss  0.869127, Average Loss  0.881729, Time  0.241856
2021-09-11 02:34:26.437401 : Epoch  3, Batch    177, Loss  0.616982, Average Loss  0.612686, Time  0.234245
2021-09-11 02:34:27.753077 : Epoch  1, Batch    721, Loss  0.887664, Average Loss  0.881793, Time  0.243400
2021-09-11 02:34:27.997273 : Epoch  3, Batch    178, Loss  0.603674, Average Loss  0.612630, Time  0.237830
2021-09-11 02:34:29.556596 : Epoch  3, Batch    179, Loss  0.612137, Average Loss  0.612634, Time  0.236973
2021-09-11 02:34:30.388979 : Epoch  1, Batch    722, Loss  0.884669, Average Loss  0.881795, Time  0.241259
2021-09-11 02:34:31.112422 : Epoch  3, Batch    180, Loss  0.603310, Average Loss  0.612682, Time  0.231119
2021-09-11 02:34:32.730434 : Epoch  3, Batch    181, Loss  0.606421, Average Loss  0.612587, Time  0.233577
2021-09-11 02:34:33.070891 : Epoch  1, Batch    723, Loss  0.868131, Average Loss  0.881808, Time  0.241695
2021-09-11 02:34:34.282046 : Epoch  3, Batch    182, Loss  0.601997, Average Loss  0.612475, Time  0.232236
2021-09-11 02:34:35.845923 : Epoch  1, Batch    724, Loss  0.874100, Average Loss  0.881813, Time  0.379234
2021-09-11 02:34:35.945569 : Epoch  3, Batch    183, Loss  0.617608, Average Loss  0.612446, Time  0.334112
2021-09-11 02:34:37.496917 : Epoch  3, Batch    184, Loss  0.602115, Average Loss  0.612376, Time  0.233056
2021-09-11 02:34:38.467997 : Epoch  1, Batch    725, Loss  0.870932, Average Loss  0.881787, Time  0.238478
2021-09-11 02:34:39.120886 : Epoch  3, Batch    185, Loss  0.601496, Average Loss  0.612274, Time  0.272832
2021-09-11 02:34:40.807181 : Epoch  3, Batch    186, Loss  0.602803, Average Loss  0.612166, Time  0.235995
2021-09-11 02:34:41.120833 : Epoch  1, Batch    726, Loss  0.855250, Average Loss  0.881516, Time  0.244267
2021-09-11 02:34:42.349982 : Epoch  3, Batch    187, Loss  0.620667, Average Loss  0.612250, Time  0.235452
2021-09-11 02:34:44.045427 : Epoch  1, Batch    727, Loss  0.885243, Average Loss  0.881500, Time  0.438534
2021-09-11 02:34:44.086492 : Epoch  3, Batch    188, Loss  0.611695, Average Loss  0.612307, Time  0.395694
2021-09-11 02:34:45.840061 : Epoch  3, Batch    189, Loss  0.611081, Average Loss  0.612278, Time  0.236337
2021-09-11 02:34:46.718875 : Epoch  1, Batch    728, Loss  0.880745, Average Loss  0.881571, Time  0.238860
2021-09-11 02:34:47.395407 : Epoch  3, Batch    190, Loss  0.614921, Average Loss  0.612288, Time  0.233057
2021-09-11 02:34:48.952834 : Epoch  3, Batch    191, Loss  0.609216, Average Loss  0.612218, Time  0.235300
2021-09-11 02:34:49.378016 : Epoch  1, Batch    729, Loss  0.872311, Average Loss  0.881509, Time  0.239867
2021-09-11 02:34:50.512412 : Epoch  3, Batch    192, Loss  0.618001, Average Loss  0.612198, Time  0.237185
2021-09-11 02:34:52.247882 : Epoch  1, Batch    730, Loss  0.865473, Average Loss  0.881406, Time  0.452075
2021-09-11 02:34:52.248035 : Epoch  3, Batch    193, Loss  0.602611, Average Loss  0.612110, Time  0.429946
2021-09-11 02:34:53.829993 : Epoch  3, Batch    194, Loss  0.610133, Average Loss  0.612118, Time  0.231736
2021-09-11 02:34:54.947924 : Epoch  1, Batch    731, Loss  0.875852, Average Loss  0.881343, Time  0.238046
2021-09-11 02:34:55.371279 : Epoch  3, Batch    195, Loss  0.608979, Average Loss  0.612061, Time  0.234324
2021-09-11 02:34:56.929393 : Epoch  3, Batch    196, Loss  0.601905, Average Loss  0.612001, Time  0.231956
2021-09-11 02:34:57.600030 : Epoch  1, Batch    732, Loss  0.872300, Average Loss  0.881141, Time  0.241393
2021-09-11 02:35:00.231088 : Epoch  1, Batch    733, Loss  0.897953, Average Loss  0.881158, Time  0.246338
2021-09-11 02:35:01.000983 : Epoch  3, Batch    197, Loss  0.620233, Average Loss  0.612043, Time  0.241017
2021-09-11 02:35:02.647902 : Epoch  3, Batch    198, Loss  0.614498, Average Loss  0.612018, Time  0.240012
2021-09-11 02:35:02.890553 : Epoch  1, Batch    734, Loss  0.877683, Average Loss  0.881187, Time  0.244230
2021-09-11 02:35:04.183852 : Epoch  3, Batch    199, Loss  0.614992, Average Loss  0.612016, Time  0.234903
2021-09-11 02:35:05.525125 : Epoch  1, Batch    735, Loss  0.872325, Average Loss  0.881059, Time  0.243736
2021-09-11 02:35:05.742406 : Epoch  3, Batch    200, Loss  0.601904, Average Loss  0.611972, Time  0.240716
2021-09-11 02:35:07.307509 : Epoch  3, Batch    201, Loss  0.612315, Average Loss  0.612014, Time  0.234426
2021-09-11 02:35:08.248955 : Epoch  1, Batch    736, Loss  0.883081, Average Loss  0.881049, Time  0.245226
2021-09-11 02:35:08.840253 : Epoch  3, Batch    202, Loss  0.602319, Average Loss  0.611949, Time  0.231421
2021-09-11 02:35:10.391034 : Epoch  3, Batch    203, Loss  0.604374, Average Loss  0.611886, Time  0.231600
2021-09-11 02:35:10.877076 : Epoch  1, Batch    737, Loss  0.904656, Average Loss  0.881175, Time  0.241688
2021-09-11 02:35:11.934970 : Epoch  3, Batch    204, Loss  0.604729, Average Loss  0.611903, Time  0.231856
2021-09-11 02:35:13.690646 : Epoch  3, Batch    205, Loss  0.611555, Average Loss  0.611777, Time  0.446490
2021-09-11 02:35:13.736447 : Epoch  1, Batch    738, Loss  0.860973, Average Loss  0.881054, Time  0.394823
2021-09-11 02:35:15.229248 : Epoch  3, Batch    206, Loss  0.608550, Average Loss  0.611784, Time  0.231744
2021-09-11 02:35:16.356218 : Epoch  1, Batch    739, Loss  0.869868, Average Loss  0.880995, Time  0.238598
2021-09-11 02:35:16.756414 : Epoch  3, Batch    207, Loss  0.616356, Average Loss  0.611730, Time  0.230846
2021-09-11 02:35:18.314951 : Epoch  3, Batch    208, Loss  0.606135, Average Loss  0.611624, Time  0.233142
2021-09-11 02:35:19.058915 : Epoch  1, Batch    740, Loss  0.881542, Average Loss  0.880907, Time  0.250441
2021-09-11 02:35:19.849411 : Epoch  3, Batch    209, Loss  0.597138, Average Loss  0.611567, Time  0.235533
2021-09-11 02:35:21.403845 : Epoch  3, Batch    210, Loss  0.596348, Average Loss  0.611506, Time  0.235296
2021-09-11 02:35:21.702893 : Epoch  1, Batch    741, Loss  0.867169, Average Loss  0.880856, Time  0.240185
2021-09-11 02:35:22.951304 : Epoch  3, Batch    211, Loss  0.591547, Average Loss  0.611386, Time  0.234467
2021-09-11 02:35:24.504920 : Epoch  1, Batch    742, Loss  0.896868, Average Loss  0.880970, Time  0.381500
2021-09-11 02:35:24.583410 : Epoch  3, Batch    212, Loss  0.605172, Average Loss  0.611338, Time  0.323760
2021-09-11 02:35:26.143901 : Epoch  3, Batch    213, Loss  0.599158, Average Loss  0.611257, Time  0.235337
2021-09-11 02:35:27.197135 : Epoch  1, Batch    743, Loss  0.871517, Average Loss  0.880861, Time  0.240057
2021-09-11 02:35:27.693820 : Epoch  3, Batch    214, Loss  0.610088, Average Loss  0.611258, Time  0.239145
2021-09-11 02:35:29.283783 : Epoch  3, Batch    215, Loss  0.607770, Average Loss  0.611235, Time  0.234097
2021-09-11 02:35:29.846044 : Epoch  1, Batch    744, Loss  0.888918, Average Loss  0.880833, Time  0.239684
2021-09-11 02:35:30.806863 : Epoch  3, Batch    216, Loss  0.605381, Average Loss  0.611216, Time  0.231281
2021-09-11 02:35:32.510216 : Epoch  3, Batch    217, Loss  0.609869, Average Loss  0.611274, Time  0.398079
2021-09-11 02:35:32.565838 : Epoch  1, Batch    745, Loss  0.887676, Average Loss  0.880833, Time  0.336200
2021-09-11 02:35:34.040949 : Epoch  3, Batch    218, Loss  0.610547, Average Loss  0.611320, Time  0.231361
2021-09-11 02:35:35.177959 : Epoch  1, Batch    746, Loss  0.887332, Average Loss  0.880885, Time  0.238253
2021-09-11 02:35:35.581088 : Epoch  3, Batch    219, Loss  0.612146, Average Loss  0.611278, Time  0.233221
2021-09-11 02:35:37.135132 : Epoch  3, Batch    220, Loss  0.608543, Average Loss  0.611227, Time  0.231506
2021-09-11 02:35:37.829887 : Epoch  1, Batch    747, Loss  0.900668, Average Loss  0.881020, Time  0.241763
2021-09-11 02:35:38.678040 : Epoch  3, Batch    221, Loss  0.604418, Average Loss  0.611178, Time  0.239172
2021-09-11 02:35:40.385082 : Epoch  3, Batch    222, Loss  0.603787, Average Loss  0.611089, Time  0.329691
2021-09-11 02:35:40.505894 : Epoch  1, Batch    748, Loss  0.879691, Average Loss  0.881005, Time  0.276981
2021-09-11 02:35:42.026467 : Epoch  3, Batch    223, Loss  0.598170, Average Loss  0.611040, Time  0.234300
2021-09-11 02:35:43.183082 : Epoch  1, Batch    749, Loss  0.899968, Average Loss  0.881041, Time  0.241430
2021-09-11 02:35:43.560891 : Epoch  3, Batch    224, Loss  0.605321, Average Loss  0.610975, Time  0.231704
2021-09-11 02:35:45.095946 : Epoch  3, Batch    225, Loss  0.594759, Average Loss  0.610844, Time  0.231195
2021-09-11 02:35:45.910879 : Epoch  1, Batch    750, Loss  0.901689, Average Loss  0.881150, Time  0.239518
2021-09-11 02:35:46.636052 : Epoch  3, Batch    226, Loss  0.619420, Average Loss  0.610862, Time  0.240465
2021-09-11 02:35:48.605178 : Epoch  1, Batch    751, Loss  0.863691, Average Loss  0.881079, Time  0.240068
2021-09-11 02:35:51.370424 : Epoch  1, Batch    752, Loss  0.864643, Average Loss  0.880972, Time  0.318144
2021-09-11 02:35:54.013955 : Epoch  1, Batch    753, Loss  0.870977, Average Loss  0.880857, Time  0.239017
2021-09-11 02:35:56.651972 : Epoch  1, Batch    754, Loss  0.882320, Average Loss  0.880888, Time  0.238136
2021-09-11 02:35:59.340940 : Epoch  1, Batch    755, Loss  0.873966, Average Loss  0.880838, Time  0.248861
2021-09-11 02:36:02.040997 : Epoch  1, Batch    756, Loss  0.892939, Average Loss  0.880850, Time  0.245819
2021-09-11 02:36:04.746946 : Epoch  1, Batch    757, Loss  0.858168, Average Loss  0.880696, Time  0.241991
2021-09-11 02:36:07.403981 : Epoch  1, Batch    758, Loss  0.854526, Average Loss  0.880581, Time  0.242204
2021-09-11 02:36:10.031213 : Epoch  1, Batch    759, Loss  0.905497, Average Loss  0.880679, Time  0.237860
2021-09-11 02:36:12.659935 : Epoch  1, Batch    760, Loss  0.885328, Average Loss  0.880625, Time  0.242881
2021-09-11 02:36:15.289065 : Epoch  1, Batch    761, Loss  0.885415, Average Loss  0.880622, Time  0.245011
2021-09-11 02:36:17.998999 : Epoch  1, Batch    762, Loss  0.857315, Average Loss  0.880474, Time  0.318496
2021-09-11 02:36:20.767372 : Epoch  1, Batch    763, Loss  0.868641, Average Loss  0.880344, Time  0.322907
2021-09-11 02:36:23.480384 : Epoch  1, Batch    764, Loss  0.871632, Average Loss  0.880258, Time  0.321987
2021-09-11 02:36:26.116900 : Epoch  1, Batch    765, Loss  0.880032, Average Loss  0.880259, Time  0.238209
2021-09-11 02:36:28.769958 : Epoch  1, Batch    766, Loss  0.887575, Average Loss  0.880273, Time  0.241230
2021-09-11 02:36:31.395442 : Epoch  1, Batch    767, Loss  0.865692, Average Loss  0.880148, Time  0.238513
2021-09-11 02:36:34.110297 : Epoch  1, Batch    768, Loss  0.872815, Average Loss  0.880055, Time  0.239508
2021-09-11 02:36:36.740824 : Epoch  1, Batch    769, Loss  0.893311, Average Loss  0.880065, Time  0.241560
2021-09-11 02:36:39.378418 : Epoch  1, Batch    770, Loss  0.882855, Average Loss  0.880052, Time  0.239934
2021-09-11 02:36:42.013923 : Epoch  1, Batch    771, Loss  0.889272, Average Loss  0.880109, Time  0.239447
2021-09-11 02:36:44.656941 : Epoch  1, Batch    772, Loss  0.872379, Average Loss  0.880002, Time  0.239380
2021-09-11 02:36:47.273852 : Epoch  1, Batch    773, Loss  0.856098, Average Loss  0.879909, Time  0.240246
2021-09-11 02:36:47.631854 : CheckPoint: Validation Loss  0.00025892, Best Loss  0.00025336
2021-09-11 02:36:49.464981 : Epoch  3, Batch    227, Loss  0.605729, Average Loss  0.610820, Time  0.242736
2021-09-11 02:36:49.913930 : Epoch  1, Batch    774, Loss  0.880198, Average Loss  0.879973, Time  0.238446
2021-09-11 02:36:51.062473 : Epoch  3, Batch    228, Loss  0.613685, Average Loss  0.610791, Time  0.243718
2021-09-11 02:36:52.859928 : Epoch  1, Batch    775, Loss  0.881654, Average Loss  0.879894, Time  0.444012
2021-09-11 02:36:52.913139 : Epoch  3, Batch    229, Loss  0.616432, Average Loss  0.610795, Time  0.413869
2021-09-11 02:36:54.609759 : Epoch  3, Batch    230, Loss  0.606620, Average Loss  0.610786, Time  0.238301
2021-09-11 02:36:55.484661 : Epoch  1, Batch    776, Loss  0.892746, Average Loss  0.879986, Time  0.237444
2021-09-11 02:36:56.340051 : Epoch  3, Batch    231, Loss  0.609055, Average Loss  0.610709, Time  0.248868
2021-09-11 02:36:58.080004 : Epoch  3, Batch    232, Loss  0.620712, Average Loss  0.610733, Time  0.353398
2021-09-11 02:36:58.173180 : Epoch  1, Batch    777, Loss  0.878912, Average Loss  0.880011, Time  0.291155
2021-09-11 02:36:59.681362 : Epoch  3, Batch    233, Loss  0.609146, Average Loss  0.610722, Time  0.253697
2021-09-11 02:37:00.826418 : Epoch  1, Batch    778, Loss  0.879593, Average Loss  0.880063, Time  0.238946
2021-09-11 02:37:01.268983 : Epoch  3, Batch    234, Loss  0.609555, Average Loss  0.610755, Time  0.238426
2021-09-11 02:37:02.854995 : Epoch  3, Batch    235, Loss  0.616648, Average Loss  0.610770, Time  0.234636
2021-09-11 02:37:03.464078 : Epoch  1, Batch    779, Loss  0.892536, Average Loss  0.880054, Time  0.241474
2021-09-11 02:37:04.448424 : Epoch  3, Batch    236, Loss  0.607453, Average Loss  0.610712, Time  0.235933
2021-09-11 02:37:06.266884 : Epoch  3, Batch    237, Loss  0.601121, Average Loss  0.610647, Time  0.449425
2021-09-11 02:37:06.315902 : Epoch  1, Batch    780, Loss  0.887317, Average Loss  0.880127, Time  0.428008
2021-09-11 02:37:07.985860 : Epoch  3, Batch    238, Loss  0.613443, Average Loss  0.610652, Time  0.239766
2021-09-11 02:37:09.108996 : Epoch  1, Batch    781, Loss  0.904012, Average Loss  0.880153, Time  0.240053
2021-09-11 02:37:09.588750 : Epoch  3, Batch    239, Loss  0.605376, Average Loss  0.610668, Time  0.239472
2021-09-11 02:37:11.189000 : Epoch  3, Batch    240, Loss  0.607112, Average Loss  0.610643, Time  0.244521
2021-09-11 02:37:11.767389 : Epoch  1, Batch    782, Loss  0.874473, Average Loss  0.879989, Time  0.242612
2021-09-11 02:37:12.804991 : Epoch  3, Batch    241, Loss  0.609277, Average Loss  0.610517, Time  0.232268
2021-09-11 02:37:14.603065 : Epoch  3, Batch    242, Loss  0.603442, Average Loss  0.610437, Time  0.452059
2021-09-11 02:37:14.650474 : Epoch  1, Batch    783, Loss  0.876038, Average Loss  0.879876, Time  0.444584
2021-09-11 02:37:16.171929 : Epoch  3, Batch    243, Loss  0.601269, Average Loss  0.610365, Time  0.235090
2021-09-11 02:37:17.291286 : Epoch  1, Batch    784, Loss  0.906352, Average Loss  0.880085, Time  0.240995
2021-09-11 02:37:17.756295 : Epoch  3, Batch    244, Loss  0.601742, Average Loss  0.610322, Time  0.235718
2021-09-11 02:37:19.337098 : Epoch  3, Batch    245, Loss  0.616961, Average Loss  0.610355, Time  0.234601
2021-09-11 02:37:19.946832 : Epoch  1, Batch    785, Loss  0.887630, Average Loss  0.880215, Time  0.238369
2021-09-11 02:37:20.874199 : Epoch  3, Batch    246, Loss  0.600857, Average Loss  0.610243, Time  0.234348
2021-09-11 02:37:22.590526 : Epoch  3, Batch    247, Loss  0.607386, Average Loss  0.610160, Time  0.386808
2021-09-11 02:37:22.654825 : Epoch  1, Batch    786, Loss  0.885587, Average Loss  0.880219, Time  0.325936
2021-09-11 02:37:24.181881 : Epoch  3, Batch    248, Loss  0.602715, Average Loss  0.610120, Time  0.231631
2021-09-11 02:37:25.263109 : Epoch  1, Batch    787, Loss  0.861786, Average Loss  0.880148, Time  0.238570
2021-09-11 02:37:25.753874 : Epoch  3, Batch    249, Loss  0.618849, Average Loss  0.610143, Time  0.231527
2021-09-11 02:37:27.302172 : Epoch  3, Batch    250, Loss  0.612210, Average Loss  0.610156, Time  0.233682
2021-09-11 02:37:27.902374 : Epoch  1, Batch    788, Loss  0.860426, Average Loss  0.880007, Time  0.247810
2021-09-11 02:37:28.866468 : Epoch  3, Batch    251, Loss  0.615940, Average Loss  0.610149, Time  0.235685
2021-09-11 02:37:30.592353 : Epoch  3, Batch    252, Loss  0.601180, Average Loss  0.610038, Time  0.395130
2021-09-11 02:37:30.652964 : Epoch  1, Batch    789, Loss  0.885569, Average Loss  0.880015, Time  0.331361
2021-09-11 02:37:32.148411 : Epoch  3, Batch    253, Loss  0.605540, Average Loss  0.609998, Time  0.231216
2021-09-11 02:37:33.327534 : Epoch  1, Batch    790, Loss  0.880221, Average Loss  0.880049, Time  0.238421
2021-09-11 02:37:33.699417 : Epoch  3, Batch    254, Loss  0.610004, Average Loss  0.610013, Time  0.231907
2021-09-11 02:37:35.256074 : Epoch  3, Batch    255, Loss  0.605391, Average Loss  0.610010, Time  0.239170
2021-09-11 02:37:36.024908 : Epoch  1, Batch    791, Loss  0.858678, Average Loss  0.879890, Time  0.245452
2021-09-11 02:37:36.844322 : Epoch  3, Batch    256, Loss  0.608736, Average Loss  0.609979, Time  0.231257
2021-09-11 02:37:38.391402 : Epoch  3, Batch    257, Loss  0.607524, Average Loss  0.609957, Time  0.231491
2021-09-11 02:37:38.664859 : Epoch  1, Batch    792, Loss  0.874989, Average Loss  0.879887, Time  0.241597
2021-09-11 02:37:39.934913 : Epoch  3, Batch    258, Loss  0.606533, Average Loss  0.609890, Time  0.232301
2021-09-11 02:37:41.448897 : Epoch  1, Batch    793, Loss  0.873588, Average Loss  0.879857, Time  0.358614
2021-09-11 02:37:41.546035 : Epoch  3, Batch    259, Loss  0.606656, Average Loss  0.609908, Time  0.289303
2021-09-11 02:37:43.117844 : Epoch  3, Batch    260, Loss  0.621798, Average Loss  0.609966, Time  0.237856
2021-09-11 02:37:44.091987 : Epoch  1, Batch    794, Loss  0.867892, Average Loss  0.879818, Time  0.244296
2021-09-11 02:37:44.655864 : Epoch  3, Batch    261, Loss  0.599077, Average Loss  0.609903, Time  0.234036
2021-09-11 02:37:46.186909 : Epoch  3, Batch    262, Loss  0.605770, Average Loss  0.609911, Time  0.233590
2021-09-11 02:37:46.725365 : Epoch  1, Batch    795, Loss  0.857626, Average Loss  0.879661, Time  0.242970
2021-09-11 02:37:47.767848 : Epoch  3, Batch    263, Loss  0.606837, Average Loss  0.609876, Time  0.237272
2021-09-11 02:37:49.562372 : Epoch  3, Batch    264, Loss  0.610853, Average Loss  0.609868, Time  0.456393
2021-09-11 02:37:49.602907 : Epoch  1, Batch    796, Loss  0.896893, Average Loss  0.879783, Time  0.451720
2021-09-11 02:37:51.268955 : Epoch  3, Batch    265, Loss  0.603131, Average Loss  0.609818, Time  0.240057
2021-09-11 02:37:51.644732 : CheckPoint: Validation Loss  0.00060099, Best Loss  0.00057296
2021-09-11 02:37:52.192035 : Epoch  1, Batch    797, Loss  0.871752, Average Loss  0.879731, Time  0.237996
2021-09-11 02:37:52.817145 : Epoch  3, Batch    266, Loss  0.606619, Average Loss  0.609773, Time  0.233655
2021-09-11 02:37:53.278864 : Epoch  3, Batch   1079, Loss  0.890612, Average Loss  0.871499, Time  0.177511
2021-09-11 02:37:54.363029 : Epoch  3, Batch    267, Loss  0.614372, Average Loss  0.609826, Time  0.237498
2021-09-11 02:37:54.852039 : Epoch  1, Batch    798, Loss  0.874156, Average Loss  0.879699, Time  0.238263
2021-09-11 02:37:54.921980 : Epoch  3, Batch   1080, Loss  0.853554, Average Loss  0.871505, Time  0.170451
2021-09-11 02:37:55.945412 : Epoch  3, Batch    268, Loss  0.609200, Average Loss  0.609798, Time  0.232967
2021-09-11 02:37:56.541982 : Epoch  3, Batch   1081, Loss  0.872284, Average Loss  0.871519, Time  0.169796
2021-09-11 02:37:57.701916 : Epoch  3, Batch    269, Loss  0.605577, Average Loss  0.609790, Time  0.453556
2021-09-11 02:37:57.702423 : Epoch  1, Batch    799, Loss  0.856288, Average Loss  0.879558, Time  0.454262
2021-09-11 02:37:58.188999 : Epoch  3, Batch   1082, Loss  0.859386, Average Loss  0.871482, Time  0.170053
2021-09-11 02:37:59.230957 : Epoch  3, Batch    270, Loss  0.613224, Average Loss  0.609836, Time  0.231820
2021-09-11 02:37:59.826977 : Epoch  3, Batch   1083, Loss  0.891231, Average Loss  0.871755, Time  0.169726
2021-09-11 02:38:00.401323 : Epoch  1, Batch    800, Loss  0.890670, Average Loss  0.879622, Time  0.240098
2021-09-11 02:38:00.766928 : Epoch  3, Batch    271, Loss  0.618565, Average Loss  0.609864, Time  0.231668
2021-09-11 02:38:01.467999 : Epoch  3, Batch   1084, Loss  0.882533, Average Loss  0.871858, Time  0.170001
2021-09-11 02:38:02.350242 : Epoch  3, Batch    272, Loss  0.619235, Average Loss  0.609915, Time  0.244165
2021-09-11 02:38:03.081997 : Epoch  3, Batch   1085, Loss  0.871253, Average Loss  0.871982, Time  0.169927
2021-09-11 02:38:03.887507 : Epoch  3, Batch    273, Loss  0.609770, Average Loss  0.609812, Time  0.232942
2021-09-11 02:38:04.717997 : Epoch  3, Batch   1086, Loss  0.852286, Average Loss  0.872048, Time  0.169947
2021-09-11 02:38:05.427046 : Epoch  3, Batch    274, Loss  0.602890, Average Loss  0.609801, Time  0.232470
2021-09-11 02:38:06.351989 : Epoch  3, Batch   1087, Loss  0.909594, Average Loss  0.872208, Time  0.169719
2021-09-11 02:38:07.000279 : Epoch  3, Batch    275, Loss  0.604106, Average Loss  0.609762, Time  0.247309
2021-09-11 02:38:07.991000 : Epoch  3, Batch   1088, Loss  0.880523, Average Loss  0.872198, Time  0.169923
2021-09-11 02:38:08.667084 : Epoch  3, Batch    276, Loss  0.603973, Average Loss  0.609693, Time  0.233871
2021-09-11 02:38:09.615998 : Epoch  3, Batch   1089, Loss  0.888871, Average Loss  0.872268, Time  0.169859
2021-09-11 02:38:10.241846 : Epoch  3, Batch    277, Loss  0.599829, Average Loss  0.609652, Time  0.233533
2021-09-11 02:38:11.248034 : Epoch  3, Batch   1090, Loss  0.863356, Average Loss  0.872184, Time  0.170268
2021-09-11 02:38:11.868528 : Epoch  3, Batch    278, Loss  0.602141, Average Loss  0.609631, Time  0.312387
2021-09-11 02:38:12.870013 : Epoch  3, Batch   1091, Loss  0.872720, Average Loss  0.872233, Time  0.169947
2021-09-11 02:38:13.442394 : Epoch  3, Batch    279, Loss  0.603596, Average Loss  0.609556, Time  0.232832
2021-09-11 02:38:14.486797 : Epoch  3, Batch   1092, Loss  0.855468, Average Loss  0.872177, Time  0.169849
2021-09-11 02:38:14.998081 : Epoch  3, Batch    280, Loss  0.606788, Average Loss  0.609515, Time  0.238981
2021-09-11 02:38:16.110993 : Epoch  3, Batch   1093, Loss  0.863632, Average Loss  0.872098, Time  0.169607
2021-09-11 02:38:16.680160 : Epoch  3, Batch    281, Loss  0.604313, Average Loss  0.609420, Time  0.314762
2021-09-11 02:38:17.727803 : Epoch  3, Batch   1094, Loss  0.877946, Average Loss  0.872198, Time  0.169618
2021-09-11 02:38:18.246113 : Epoch  3, Batch    282, Loss  0.614557, Average Loss  0.609426, Time  0.233353
2021-09-11 02:38:19.359991 : Epoch  3, Batch   1095, Loss  0.864912, Average Loss  0.872203, Time  0.169737
2021-09-11 02:38:19.814825 : Epoch  3, Batch    283, Loss  0.602397, Average Loss  0.609364, Time  0.237221
2021-09-11 02:38:20.989001 : Epoch  3, Batch   1096, Loss  0.910636, Average Loss  0.872620, Time  0.170189
2021-09-11 02:38:21.465038 : Epoch  3, Batch    284, Loss  0.604241, Average Loss  0.609308, Time  0.318607
2021-09-11 02:38:22.627838 : Epoch  3, Batch   1097, Loss  0.861400, Average Loss  0.872563, Time  0.172281
2021-09-11 02:38:23.027233 : Epoch  3, Batch    285, Loss  0.598154, Average Loss  0.609262, Time  0.234351
2021-09-11 02:38:24.253758 : Epoch  3, Batch   1098, Loss  0.870037, Average Loss  0.872530, Time  0.170117
2021-09-11 02:38:24.582732 : Epoch  3, Batch    286, Loss  0.610562, Average Loss  0.609258, Time  0.232496
2021-09-11 02:38:25.873988 : Epoch  3, Batch   1099, Loss  0.898770, Average Loss  0.872671, Time  0.169484
2021-09-11 02:38:26.312923 : Epoch  3, Batch    287, Loss  0.598006, Average Loss  0.609162, Time  0.316000
2021-09-11 02:38:27.486919 : Epoch  3, Batch   1100, Loss  0.866559, Average Loss  0.872798, Time  0.169592
2021-09-11 02:38:27.870439 : Epoch  3, Batch    288, Loss  0.598177, Average Loss  0.609095, Time  0.237549
2021-09-11 02:38:29.111751 : Epoch  3, Batch   1101, Loss  0.845739, Average Loss  0.872776, Time  0.172451
2021-09-11 02:38:29.430860 : Epoch  3, Batch    289, Loss  0.608854, Average Loss  0.609068, Time  0.235160
2021-09-11 02:38:30.739743 : Epoch  3, Batch   1102, Loss  0.878012, Average Loss  0.872658, Time  0.170754
2021-09-11 02:38:31.011980 : Epoch  3, Batch    290, Loss  0.605848, Average Loss  0.609018, Time  0.240024
2021-09-11 02:38:32.377765 : Epoch  3, Batch   1103, Loss  0.871678, Average Loss  0.872686, Time  0.169726
2021-09-11 02:38:32.575930 : Epoch  3, Batch    291, Loss  0.592932, Average Loss  0.608952, Time  0.241537
2021-09-11 02:38:34.015792 : Epoch  3, Batch   1104, Loss  0.880022, Average Loss  0.872724, Time  0.169627
2021-09-11 02:38:34.120407 : Epoch  3, Batch    292, Loss  0.611816, Average Loss  0.608974, Time  0.234852
2021-09-11 02:38:35.640781 : Epoch  3, Batch   1105, Loss  0.873597, Average Loss  0.872826, Time  0.169705
2021-09-11 02:38:35.702886 : Epoch  3, Batch    293, Loss  0.600601, Average Loss  0.608866, Time  0.231338
2021-09-11 02:38:37.224021 : Epoch  3, Batch    294, Loss  0.604077, Average Loss  0.608806, Time  0.231302
2021-09-11 02:38:37.266007 : Epoch  3, Batch   1106, Loss  0.837913, Average Loss  0.872662, Time  0.172606
2021-09-11 02:38:38.845976 : Epoch  3, Batch    295, Loss  0.603093, Average Loss  0.608785, Time  0.247579
2021-09-11 02:38:38.896990 : Epoch  3, Batch   1107, Loss  0.842542, Average Loss  0.872612, Time  0.169749
2021-09-11 02:38:40.522994 : Epoch  3, Batch   1108, Loss  0.864217, Average Loss  0.872730, Time  0.169832
2021-09-11 02:38:42.167999 : Epoch  3, Batch   1109, Loss  0.853950, Average Loss  0.872624, Time  0.169781
2021-09-11 02:38:43.790740 : Epoch  3, Batch   1110, Loss  0.857814, Average Loss  0.872683, Time  0.172064
2021-09-11 02:38:45.419988 : Epoch  3, Batch   1111, Loss  0.875059, Average Loss  0.872785, Time  0.169613
2021-09-11 02:38:46.453914 : Epoch  3, Batch    297, Loss  0.614493, Average Loss  0.608650, Time  0.233411
2021-09-11 02:38:47.064999 : Epoch  3, Batch   1112, Loss  0.864930, Average Loss  0.872749, Time  0.170323
2021-09-11 02:38:48.011844 : Epoch  3, Batch    298, Loss  0.597764, Average Loss  0.608611, Time  0.233722
2021-09-11 02:38:48.682746 : Epoch  3, Batch   1113, Loss  0.862380, Average Loss  0.872743, Time  0.169629
2021-09-11 02:38:49.581875 : Epoch  3, Batch    299, Loss  0.595822, Average Loss  0.608547, Time  0.231830
2021-09-11 02:38:50.309995 : Epoch  3, Batch   1114, Loss  0.880771, Average Loss  0.872562, Time  0.172430
2021-09-11 02:38:51.154967 : Epoch  3, Batch    300, Loss  0.603794, Average Loss  0.608469, Time  0.232780
2021-09-11 02:38:51.982867 : Epoch  3, Batch   1115, Loss  0.858630, Average Loss  0.872700, Time  0.170197
2021-09-11 02:38:52.724903 : Epoch  3, Batch    301, Loss  0.602976, Average Loss  0.608430, Time  0.232868
2021-09-11 02:38:53.593814 : Epoch  3, Batch   1116, Loss  0.880533, Average Loss  0.872817, Time  0.169804
2021-09-11 02:38:54.281092 : Epoch  3, Batch    302, Loss  0.599352, Average Loss  0.608432, Time  0.231697
2021-09-11 02:38:55.230025 : Epoch  3, Batch   1117, Loss  0.827349, Average Loss  0.872596, Time  0.174616
2021-09-11 02:38:55.909892 : Epoch  3, Batch    303, Loss  0.608760, Average Loss  0.608406, Time  0.242684
2021-09-11 02:38:56.847774 : Epoch  3, Batch   1118, Loss  0.890276, Average Loss  0.872640, Time  0.171343
2021-09-11 02:38:57.468026 : Epoch  3, Batch    304, Loss  0.597910, Average Loss  0.608317, Time  0.231928
2021-09-11 02:38:58.477039 : Epoch  3, Batch   1119, Loss  0.854148, Average Loss  0.872601, Time  0.170804
2021-09-11 02:38:59.033870 : Epoch  3, Batch    305, Loss  0.603892, Average Loss  0.608281, Time  0.232162
2021-09-11 02:39:00.127103 : Epoch  3, Batch   1120, Loss  0.862752, Average Loss  0.872541, Time  0.172579
2021-09-11 02:39:00.629086 : Epoch  3, Batch    306, Loss  0.600657, Average Loss  0.608259, Time  0.236960
2021-09-11 02:39:01.748858 : Epoch  3, Batch   1121, Loss  0.901627, Average Loss  0.872594, Time  0.170343
2021-09-11 02:39:02.220943 : Epoch  3, Batch    307, Loss  0.610021, Average Loss  0.608208, Time  0.236306
2021-09-11 02:39:03.378975 : Epoch  3, Batch   1122, Loss  0.857052, Average Loss  0.872630, Time  0.175435
2021-09-11 02:39:03.806850 : Epoch  3, Batch    308, Loss  0.604538, Average Loss  0.608174, Time  0.231525
2021-09-11 02:39:04.986049 : Epoch  3, Batch   1123, Loss  0.888778, Average Loss  0.872658, Time  0.171524
2021-09-11 02:39:05.367068 : Epoch  3, Batch    309, Loss  0.601552, Average Loss  0.608104, Time  0.233259
2021-09-11 02:39:06.595825 : Epoch  3, Batch   1124, Loss  0.870760, Average Loss  0.872766, Time  0.171463
2021-09-11 02:39:07.086109 : Epoch  3, Batch    310, Loss  0.600333, Average Loss  0.608105, Time  0.231937
2021-09-11 02:39:08.208086 : Epoch  3, Batch   1125, Loss  0.866525, Average Loss  0.872666, Time  0.173779
2021-09-11 02:39:08.643436 : Epoch  3, Batch    311, Loss  0.603908, Average Loss  0.608112, Time  0.233725
2021-09-11 02:39:09.822742 : Epoch  3, Batch   1126, Loss  0.840112, Average Loss  0.872567, Time  0.170721
2021-09-11 02:39:10.222890 : Epoch  3, Batch    312, Loss  0.600813, Average Loss  0.608066, Time  0.231858
2021-09-11 02:39:11.428034 : Epoch  3, Batch   1127, Loss  0.868763, Average Loss  0.872587, Time  0.169919
2021-09-11 02:39:11.792950 : Epoch  3, Batch    313, Loss  0.607501, Average Loss  0.607992, Time  0.238464
2021-09-11 02:39:13.042996 : Epoch  3, Batch   1128, Loss  0.878379, Average Loss  0.872578, Time  0.172327
2021-09-11 02:39:13.422915 : Epoch  3, Batch    314, Loss  0.616266, Average Loss  0.608033, Time  0.236750
2021-09-11 02:39:14.679003 : Epoch  3, Batch   1129, Loss  0.869367, Average Loss  0.872576, Time  0.169797
2021-09-11 02:39:15.142353 : Epoch  3, Batch    315, Loss  0.607978, Average Loss  0.607984, Time  0.271977
2021-09-11 02:39:16.315778 : Epoch  3, Batch   1130, Loss  0.869574, Average Loss  0.872447, Time  0.170142
2021-09-11 02:39:16.756625 : Epoch  3, Batch    316, Loss  0.609448, Average Loss  0.607978, Time  0.238010
2021-09-11 02:39:17.958901 : Epoch  3, Batch   1131, Loss  0.875544, Average Loss  0.872285, Time  0.170070
2021-09-11 02:39:18.373878 : Epoch  3, Batch    317, Loss  0.604299, Average Loss  0.607969, Time  0.233980
2021-09-11 02:39:19.554819 : Epoch  3, Batch   1132, Loss  0.854268, Average Loss  0.872105, Time  0.172146
2021-09-11 02:39:20.006015 : Epoch  3, Batch    318, Loss  0.614571, Average Loss  0.607975, Time  0.243458
2021-09-11 02:39:21.154001 : Epoch  3, Batch   1133, Loss  0.873613, Average Loss  0.872202, Time  0.169773
2021-09-11 02:39:21.642331 : Epoch  3, Batch    319, Loss  0.607242, Average Loss  0.607969, Time  0.244235
2021-09-11 02:39:22.793737 : Epoch  3, Batch   1134, Loss  0.857953, Average Loss  0.872086, Time  0.169672
2021-09-11 02:39:23.206991 : Epoch  3, Batch    320, Loss  0.598300, Average Loss  0.607894, Time  0.233602
2021-09-11 02:39:24.432998 : Epoch  3, Batch   1135, Loss  0.877574, Average Loss  0.872024, Time  0.172217
2021-09-11 02:39:24.769901 : Epoch  3, Batch    321, Loss  0.609047, Average Loss  0.607932, Time  0.241764
2021-09-11 02:39:26.072992 : Epoch  3, Batch   1136, Loss  0.847494, Average Loss  0.871971, Time  0.170200
2021-09-11 02:39:26.381135 : Epoch  3, Batch    322, Loss  0.617237, Average Loss  0.608003, Time  0.240238
2021-09-11 02:39:27.702991 : Epoch  3, Batch   1137, Loss  0.895893, Average Loss  0.872028, Time  0.169502
2021-09-11 02:39:27.920915 : Epoch  3, Batch    323, Loss  0.606869, Average Loss  0.607983, Time  0.231547
2021-09-11 02:39:29.317818 : Epoch  3, Batch   1138, Loss  0.870823, Average Loss  0.872110, Time  0.169541
2021-09-11 02:39:29.499881 : Epoch  3, Batch    324, Loss  0.612412, Average Loss  0.607996, Time  0.241553
2021-09-11 02:39:30.958002 : Epoch  3, Batch   1139, Loss  0.862595, Average Loss  0.872152, Time  0.169881
2021-09-11 02:39:31.084196 : Epoch  3, Batch    325, Loss  0.598106, Average Loss  0.607939, Time  0.240732
2021-09-11 02:39:32.590987 : Epoch  3, Batch   1140, Loss  0.869540, Average Loss  0.872215, Time  0.169734
2021-09-11 02:39:32.620858 : Epoch  3, Batch    326, Loss  0.609097, Average Loss  0.607833, Time  0.231129
2021-09-11 02:39:34.192034 : Epoch  3, Batch   1141, Loss  0.842607, Average Loss  0.872075, Time  0.173726
2021-09-11 02:39:35.833872 : Epoch  3, Batch   1142, Loss  0.831746, Average Loss  0.871941, Time  0.182850
2021-09-11 02:39:37.457011 : Epoch  3, Batch   1143, Loss  0.860128, Average Loss  0.871847, Time  0.172578
2021-09-11 02:39:39.105027 : Epoch  3, Batch   1144, Loss  0.873032, Average Loss  0.871737, Time  0.182379
2021-09-11 02:39:40.700614 : Epoch  3, Batch   1145, Loss  0.886484, Average Loss  0.871931, Time  0.170079
2021-09-11 02:39:42.309027 : Epoch  3, Batch   1146, Loss  0.896087, Average Loss  0.872003, Time  0.171269
2021-09-11 02:39:43.919027 : Epoch  3, Batch   1147, Loss  0.826456, Average Loss  0.871806, Time  0.172431
2021-09-11 02:39:45.537826 : Epoch  3, Batch   1148, Loss  0.876762, Average Loss  0.871791, Time  0.174668
2021-09-11 02:39:47.147028 : Epoch  3, Batch   1149, Loss  0.866553, Average Loss  0.871666, Time  0.180280
2021-09-11 02:39:48.751999 : Epoch  3, Batch   1150, Loss  0.863613, Average Loss  0.871791, Time  0.169475
2021-09-11 02:39:50.382768 : Epoch  3, Batch   1151, Loss  0.876811, Average Loss  0.871809, Time  0.170096
2021-09-11 02:39:52.029911 : Epoch  3, Batch   1152, Loss  0.845074, Average Loss  0.871678, Time  0.169756
2021-09-11 02:39:53.651757 : Epoch  3, Batch   1153, Loss  0.858413, Average Loss  0.871536, Time  0.171962
2021-09-11 02:39:55.274739 : Epoch  3, Batch   1154, Loss  0.890827, Average Loss  0.871501, Time  0.172060
2021-09-11 02:39:56.888990 : Epoch  3, Batch   1155, Loss  0.825956, Average Loss  0.871325, Time  0.169697
2021-09-11 02:39:58.517801 : Epoch  3, Batch   1156, Loss  0.831385, Average Loss  0.871188, Time  0.172133
2021-09-11 02:40:00.142997 : Epoch  3, Batch   1157, Loss  0.873195, Average Loss  0.871106, Time  0.169596
2021-09-11 02:40:01.778996 : Epoch  3, Batch   1158, Loss  0.878606, Average Loss  0.871214, Time  0.169605
2021-09-11 02:40:03.401999 : Epoch  3, Batch   1159, Loss  0.892558, Average Loss  0.871388, Time  0.170055
2021-09-11 02:40:05.028995 : Epoch  3, Batch   1160, Loss  0.865543, Average Loss  0.871180, Time  0.169961
2021-09-11 02:40:06.663004 : Epoch  3, Batch   1161, Loss  0.905770, Average Loss  0.871360, Time  0.169694
2021-09-11 02:40:08.313822 : Epoch  3, Batch   1162, Loss  0.880135, Average Loss  0.871465, Time  0.170075
2021-09-11 02:40:09.922980 : Epoch  3, Batch   1163, Loss  0.867414, Average Loss  0.871386, Time  0.169621
2021-09-11 02:40:11.543003 : Epoch  3, Batch   1164, Loss  0.881991, Average Loss  0.871404, Time  0.169629
2021-09-11 02:40:13.192762 : Epoch  3, Batch   1165, Loss  0.860045, Average Loss  0.871258, Time  0.169744
2021-09-11 02:40:14.836983 : Epoch  3, Batch   1166, Loss  0.883684, Average Loss  0.871387, Time  0.170100
2021-09-11 02:40:16.427315 : Epoch  3, Batch   1167, Loss  0.861255, Average Loss  0.871394, Time  0.169864
2021-09-11 02:40:18.041991 : Epoch  3, Batch   1168, Loss  0.864242, Average Loss  0.871410, Time  0.169645
2021-09-11 02:40:19.665015 : Epoch  3, Batch   1169, Loss  0.874167, Average Loss  0.871467, Time  0.169991
2021-09-11 02:40:21.288854 : Epoch  3, Batch   1170, Loss  0.847418, Average Loss  0.871417, Time  0.169753
2021-09-11 02:40:22.910841 : Epoch  3, Batch   1171, Loss  0.873006, Average Loss  0.871294, Time  0.169840
2021-09-11 02:40:24.537759 : Epoch  3, Batch   1172, Loss  0.856431, Average Loss  0.871192, Time  0.169799
2021-09-11 02:40:26.164749 : Epoch  3, Batch   1173, Loss  0.885841, Average Loss  0.871336, Time  0.169843
2021-09-11 02:40:27.800982 : Epoch  3, Batch   1174, Loss  0.868632, Average Loss  0.871375, Time  0.169853
2021-09-11 02:40:29.435840 : Epoch  3, Batch   1175, Loss  0.887225, Average Loss  0.871363, Time  0.170155
2021-09-11 02:40:31.064847 : Epoch  3, Batch   1176, Loss  0.837568, Average Loss  0.871075, Time  0.169520
2021-09-11 02:40:32.690003 : Epoch  3, Batch   1177, Loss  0.900034, Average Loss  0.871172, Time  0.170156
2021-09-11 02:40:34.318750 : Epoch  3, Batch   1178, Loss  0.865231, Average Loss  0.871025, Time  0.172369
2021-09-11 02:40:34.870872 : CheckPoint: Validation Loss  0.00025261, Best Loss  0.00025261
2021-09-11 02:40:34.925604 : Best Model Updated
2021-09-11 02:40:37.698272 : Epoch  3, Batch    327, Loss  0.597199, Average Loss  0.607697, Time  0.235338
2021-09-11 02:40:39.267217 : Epoch  3, Batch    328, Loss  0.608765, Average Loss  0.607644, Time  0.233218
2021-09-11 02:40:40.898206 : Epoch  3, Batch    329, Loss  0.596614, Average Loss  0.607587, Time  0.234234
2021-09-11 02:40:42.487904 : Epoch  3, Batch    330, Loss  0.610417, Average Loss  0.607641, Time  0.247447
2021-09-11 02:40:44.292717 : Epoch  3, Batch    331, Loss  0.600868, Average Loss  0.607570, Time  0.266716
2021-09-11 02:40:46.008500 : Epoch  3, Batch    332, Loss  0.606509, Average Loss  0.607608, Time  0.248472
2021-09-11 02:40:47.609080 : Epoch  3, Batch    333, Loss  0.593527, Average Loss  0.607537, Time  0.235620
2021-09-11 02:40:49.316172 : Epoch  3, Batch    334, Loss  0.590506, Average Loss  0.607440, Time  0.319209
2021-09-11 02:40:51.091412 : Epoch  3, Batch    335, Loss  0.593390, Average Loss  0.607391, Time  0.270412
2021-09-11 02:40:52.792109 : Epoch  3, Batch    336, Loss  0.598795, Average Loss  0.607331, Time  0.248872
2021-09-11 02:40:54.442144 : Epoch  3, Batch    337, Loss  0.601223, Average Loss  0.607300, Time  0.235248
2021-09-11 02:40:56.099506 : Epoch  3, Batch    338, Loss  0.608314, Average Loss  0.607276, Time  0.250373
2021-09-11 02:40:57.927648 : Epoch  3, Batch    339, Loss  0.607830, Average Loss  0.607289, Time  0.261357
2021-09-11 02:40:59.670652 : Epoch  3, Batch    340, Loss  0.611574, Average Loss  0.607281, Time  0.255625
2021-09-11 02:41:01.453717 : Epoch  3, Batch    341, Loss  0.607379, Average Loss  0.607284, Time  0.308822
2021-09-11 02:41:03.114994 : Epoch  3, Batch    342, Loss  0.605040, Average Loss  0.607260, Time  0.240805
2021-09-11 02:41:04.804103 : Epoch  3, Batch    343, Loss  0.597752, Average Loss  0.607234, Time  0.287241
2021-09-11 02:41:06.476145 : Epoch  3, Batch    344, Loss  0.602013, Average Loss  0.607170, Time  0.240149
2021-09-11 02:41:08.171121 : Epoch  3, Batch    345, Loss  0.613273, Average Loss  0.607164, Time  0.247955
2021-09-11 02:41:09.752981 : Epoch  3, Batch    346, Loss  0.612765, Average Loss  0.607162, Time  0.236584
2021-09-11 02:41:11.366926 : Epoch  3, Batch    347, Loss  0.595797, Average Loss  0.607105, Time  0.273874
2021-09-11 02:41:12.954206 : Epoch  3, Batch    348, Loss  0.617737, Average Loss  0.607177, Time  0.235324
2021-09-11 02:41:14.631137 : Epoch  3, Batch    349, Loss  0.604008, Average Loss  0.607141, Time  0.259105
2021-09-11 02:41:16.345165 : Epoch  3, Batch    350, Loss  0.596049, Average Loss  0.607078, Time  0.275594
2021-09-11 02:41:17.966259 : Epoch  3, Batch    351, Loss  0.604279, Average Loss  0.606979, Time  0.247243
2021-09-11 02:41:19.585218 : Epoch  3, Batch    352, Loss  0.604415, Average Loss  0.606945, Time  0.246651
2021-09-11 02:41:21.233719 : Epoch  3, Batch    353, Loss  0.595639, Average Loss  0.606905, Time  0.245577
2021-09-11 02:41:22.865066 : Epoch  3, Batch    354, Loss  0.599047, Average Loss  0.606874, Time  0.236445
2021-09-11 02:41:24.506910 : Epoch  3, Batch    355, Loss  0.613404, Average Loss  0.606917, Time  0.247090
2021-09-11 02:41:26.163819 : Epoch  3, Batch    356, Loss  0.609701, Average Loss  0.606911, Time  0.252523
2021-09-11 02:41:27.844038 : Epoch  3, Batch    357, Loss  0.610919, Average Loss  0.606866, Time  0.248730
2021-09-11 02:41:29.520217 : Epoch  3, Batch    358, Loss  0.598203, Average Loss  0.606806, Time  0.241407
2021-09-11 02:41:31.245630 : Epoch  3, Batch    359, Loss  0.596100, Average Loss  0.606768, Time  0.238540
2021-09-11 02:41:32.846262 : Epoch  3, Batch    360, Loss  0.605338, Average Loss  0.606735, Time  0.240783
2021-09-11 02:41:34.465906 : Epoch  3, Batch    361, Loss  0.596050, Average Loss  0.606663, Time  0.244815
2021-09-11 02:41:36.163723 : Epoch  3, Batch    362, Loss  0.613767, Average Loss  0.606703, Time  0.245302
2021-09-11 02:41:37.914146 : Epoch  3, Batch    363, Loss  0.615271, Average Loss  0.606707, Time  0.328143
2021-09-11 02:41:39.547672 : Epoch  3, Batch    364, Loss  0.602103, Average Loss  0.606603, Time  0.238177
2021-09-11 02:41:41.150031 : Epoch  3, Batch    365, Loss  0.597007, Average Loss  0.606532, Time  0.237990
2021-09-11 02:41:42.835031 : Epoch  3, Batch    366, Loss  0.602287, Average Loss  0.606519, Time  0.316297
2021-09-11 02:41:44.453011 : Epoch  3, Batch    367, Loss  0.594797, Average Loss  0.606454, Time  0.243511
2021-09-11 02:41:46.059129 : Epoch  3, Batch    368, Loss  0.603300, Average Loss  0.606433, Time  0.239214
2021-09-11 02:41:47.799088 : Epoch  3, Batch    369, Loss  0.596213, Average Loss  0.606363, Time  0.326570
2021-09-11 02:41:49.529048 : Epoch  3, Batch    370, Loss  0.603200, Average Loss  0.606277, Time  0.246000
2021-09-11 02:41:51.124140 : Epoch  3, Batch    371, Loss  0.598188, Average Loss  0.606214, Time  0.244229
2021-09-11 02:41:52.759041 : Epoch  3, Batch    372, Loss  0.607094, Average Loss  0.606216, Time  0.273991
2021-09-11 02:41:54.384591 : Epoch  3, Batch    373, Loss  0.607477, Average Loss  0.606131, Time  0.267547
2021-09-11 02:41:56.054151 : Epoch  3, Batch    374, Loss  0.609514, Average Loss  0.606091, Time  0.260540
2021-09-11 02:41:57.694957 : Epoch  3, Batch    375, Loss  0.605264, Average Loss  0.606016, Time  0.280998
2021-09-11 02:41:59.308075 : Epoch  3, Batch    376, Loss  0.604406, Average Loss  0.606073, Time  0.243554
2021-09-11 02:42:00.882933 : Epoch  3, Batch    377, Loss  0.591022, Average Loss  0.605944, Time  0.241075
2021-09-11 02:42:02.563075 : Epoch  3, Batch    378, Loss  0.602839, Average Loss  0.605939, Time  0.298672
2021-09-11 02:42:04.230050 : Epoch  3, Batch    379, Loss  0.601431, Average Loss  0.605886, Time  0.241265
2021-09-11 02:42:05.939662 : Epoch  3, Batch    380, Loss  0.600055, Average Loss  0.605870, Time  0.244314
2021-09-11 02:42:06.382741 : CheckPoint: Validation Loss  0.00030079, Best Loss  0.00029681
2021-09-11 02:42:07.524919 : Epoch  3, Batch    381, Loss  0.610263, Average Loss  0.605889, Time  0.244143
2021-09-11 02:42:09.168293 : Epoch  1, Batch    801, Loss  0.868764, Average Loss  0.879558, Time  0.385440
2021-09-11 02:42:09.249197 : Epoch  3, Batch    382, Loss  0.614404, Average Loss  0.605951, Time  0.319518
2021-09-11 02:42:10.856304 : Epoch  3, Batch    383, Loss  0.604503, Average Loss  0.605885, Time  0.242341
2021-09-11 02:42:11.805382 : Epoch  1, Batch    802, Loss  0.881338, Average Loss  0.879543, Time  0.247692
2021-09-11 02:42:12.466491 : Epoch  3, Batch    384, Loss  0.591987, Average Loss  0.605835, Time  0.247234
2021-09-11 02:42:14.085217 : Epoch  3, Batch    385, Loss  0.608781, Average Loss  0.605871, Time  0.235834
2021-09-11 02:42:14.471145 : Epoch  1, Batch    803, Loss  0.856075, Average Loss  0.879411, Time  0.237616
2021-09-11 02:42:15.838914 : Epoch  3, Batch    386, Loss  0.595154, Average Loss  0.605833, Time  0.250135
2021-09-11 02:42:17.114408 : Epoch  1, Batch    804, Loss  0.844690, Average Loss  0.879361, Time  0.243668
2021-09-11 02:42:17.478092 : Epoch  3, Batch    387, Loss  0.598823, Average Loss  0.605724, Time  0.242888
2021-09-11 02:42:19.128124 : Epoch  3, Batch    388, Loss  0.600304, Average Loss  0.605667, Time  0.294675
2021-09-11 02:42:19.756844 : Epoch  1, Batch    805, Loss  0.903984, Average Loss  0.879524, Time  0.237705
2021-09-11 02:42:20.739069 : Epoch  3, Batch    389, Loss  0.606564, Average Loss  0.605644, Time  0.236806
2021-09-11 02:42:22.548304 : Epoch  3, Batch    390, Loss  0.612743, Average Loss  0.605633, Time  0.442884
2021-09-11 02:42:22.590928 : Epoch  1, Batch    806, Loss  0.885184, Average Loss  0.879524, Time  0.371880
2021-09-11 02:42:24.276764 : Epoch  3, Batch    391, Loss  0.615462, Average Loss  0.605664, Time  0.278405
2021-09-11 02:42:25.309053 : Epoch  1, Batch    807, Loss  0.883867, Average Loss  0.879535, Time  0.239320
2021-09-11 02:42:26.056064 : Epoch  3, Batch    392, Loss  0.611247, Average Loss  0.605631, Time  0.264073
2021-09-11 02:42:27.954989 : Epoch  3, Batch    393, Loss  0.586702, Average Loss  0.605551, Time  0.388341
2021-09-11 02:42:28.023028 : Epoch  1, Batch    808, Loss  0.874269, Average Loss  0.879467, Time  0.300909
2021-09-11 02:42:29.755226 : Epoch  3, Batch    394, Loss  0.599790, Average Loss  0.605499, Time  0.265368
2021-09-11 02:42:30.619401 : Epoch  1, Batch    809, Loss  0.876925, Average Loss  0.879509, Time  0.237373
2021-09-11 02:42:31.555243 : Epoch  3, Batch    395, Loss  0.598381, Average Loss  0.605446, Time  0.257901
2021-09-11 02:42:33.487054 : Epoch  1, Batch    810, Loss  0.894333, Average Loss  0.879547, Time  0.465201
2021-09-11 02:42:33.531200 : Epoch  3, Batch    396, Loss  0.600686, Average Loss  0.605440, Time  0.472857
2021-09-11 02:42:36.109039 : Epoch  1, Batch    811, Loss  0.870511, Average Loss  0.879422, Time  0.237947
2021-09-11 02:42:38.309131 : Epoch  3, Batch    397, Loss  0.610836, Average Loss  0.605393, Time  0.258871
2021-09-11 02:42:38.831413 : Epoch  1, Batch    812, Loss  0.871033, Average Loss  0.879378, Time  0.238733
2021-09-11 02:42:39.934621 : Epoch  3, Batch    398, Loss  0.605587, Average Loss  0.605349, Time  0.240368
2021-09-11 02:42:41.654854 : Epoch  1, Batch    813, Loss  0.874520, Average Loss  0.879502, Time  0.439657
2021-09-11 02:42:41.702405 : Epoch  3, Batch    399, Loss  0.610650, Average Loss  0.605327, Time  0.396927
2021-09-11 02:42:43.309631 : Epoch  3, Batch    400, Loss  0.609783, Average Loss  0.605367, Time  0.237689
2021-09-11 02:42:44.273962 : Epoch  1, Batch    814, Loss  0.870423, Average Loss  0.879388, Time  0.237955
2021-09-11 02:42:44.916058 : Epoch  3, Batch    401, Loss  0.598939, Average Loss  0.605300, Time  0.245973
2021-09-11 02:42:46.532072 : Epoch  3, Batch    402, Loss  0.606446, Average Loss  0.605320, Time  0.241280
2021-09-11 02:42:46.896415 : Epoch  1, Batch    815, Loss  0.875220, Average Loss  0.879545, Time  0.240120
2021-09-11 02:42:48.126501 : Epoch  3, Batch    403, Loss  0.596148, Average Loss  0.605279, Time  0.239938
2021-09-11 02:42:49.522921 : Epoch  1, Batch    816, Loss  0.859400, Average Loss  0.879336, Time  0.240841
2021-09-11 02:42:49.803858 : Epoch  3, Batch    404, Loss  0.601239, Average Loss  0.605262, Time  0.250776
2021-09-11 02:42:51.574326 : Epoch  3, Batch    405, Loss  0.608957, Average Loss  0.605249, Time  0.249757
2021-09-11 02:42:52.166236 : Epoch  1, Batch    817, Loss  0.887499, Average Loss  0.879367, Time  0.240338
2021-09-11 02:42:53.210653 : Epoch  3, Batch    406, Loss  0.586932, Average Loss  0.605141, Time  0.246980
2021-09-11 02:42:54.996131 : Epoch  1, Batch    818, Loss  0.868412, Average Loss  0.879320, Time  0.449391
2021-09-11 02:42:55.049029 : Epoch  3, Batch    407, Loss  0.597618, Average Loss  0.605047, Time  0.439016
2021-09-11 02:42:56.752747 : Epoch  3, Batch    408, Loss  0.584313, Average Loss  0.604938, Time  0.241085
2021-09-11 02:42:57.628042 : Epoch  1, Batch    819, Loss  0.889844, Average Loss  0.879422, Time  0.243104
2021-09-11 02:42:58.375247 : Epoch  3, Batch    409, Loss  0.596763, Average Loss  0.604936, Time  0.240488
2021-09-11 02:43:00.312446 : Epoch  3, Batch    410, Loss  0.591704, Average Loss  0.604913, Time  0.383330
2021-09-11 02:43:00.371590 : Epoch  1, Batch    820, Loss  0.847400, Average Loss  0.879290, Time  0.304654
2021-09-11 02:43:02.090022 : Epoch  3, Batch    411, Loss  0.599431, Average Loss  0.604952, Time  0.254733
2021-09-11 02:43:02.965441 : Epoch  1, Batch    821, Loss  0.877798, Average Loss  0.879246, Time  0.237892
2021-09-11 02:43:03.838532 : Epoch  3, Batch    412, Loss  0.603135, Average Loss  0.604942, Time  0.257308
2021-09-11 02:43:05.776979 : Epoch  1, Batch    822, Loss  0.872499, Average Loss  0.879162, Time  0.429537
2021-09-11 02:43:05.821588 : Epoch  3, Batch    413, Loss  0.600984, Average Loss  0.604951, Time  0.472668
2021-09-11 02:43:07.596224 : Epoch  3, Batch    414, Loss  0.602403, Average Loss  0.604913, Time  0.260197
2021-09-11 02:43:08.433991 : Epoch  1, Batch    823, Loss  0.877504, Average Loss  0.879049, Time  0.238646
2021-09-11 02:43:09.455188 : Epoch  3, Batch    415, Loss  0.593995, Average Loss  0.604844, Time  0.243680
2021-09-11 02:43:11.271129 : Epoch  1, Batch    824, Loss  0.853194, Average Loss  0.878896, Time  0.450666
2021-09-11 02:43:11.313125 : Epoch  3, Batch    416, Loss  0.589667, Average Loss  0.604765, Time  0.441163
2021-09-11 02:43:12.939572 : Epoch  3, Batch    417, Loss  0.599269, Average Loss  0.604712, Time  0.236969
2021-09-11 02:43:13.887390 : Epoch  1, Batch    825, Loss  0.893390, Average Loss  0.878876, Time  0.237916
2021-09-11 02:43:14.522664 : Epoch  3, Batch    418, Loss  0.612988, Average Loss  0.604724, Time  0.245716
2021-09-11 02:43:16.129785 : Epoch  3, Batch    419, Loss  0.584898, Average Loss  0.604588, Time  0.241319
2021-09-11 02:43:16.520432 : Epoch  1, Batch    826, Loss  0.870092, Average Loss  0.878811, Time  0.238539
2021-09-11 02:43:17.777401 : Epoch  3, Batch    420, Loss  0.599349, Average Loss  0.604542, Time  0.243086
2021-09-11 02:43:19.293501 : Epoch  1, Batch    827, Loss  0.883247, Average Loss  0.878849, Time  0.336783
2021-09-11 02:43:19.410805 : Epoch  3, Batch    421, Loss  0.587696, Average Loss  0.604459, Time  0.277969
2021-09-11 02:43:21.040297 : Epoch  3, Batch    422, Loss  0.600475, Average Loss  0.604442, Time  0.251493
2021-09-11 02:43:21.957446 : Epoch  1, Batch    828, Loss  0.888006, Average Loss  0.878817, Time  0.239240
2021-09-11 02:43:22.665035 : Epoch  3, Batch    423, Loss  0.611932, Average Loss  0.604511, Time  0.244140
2021-09-11 02:43:24.619718 : Epoch  3, Batch    424, Loss  0.597672, Average Loss  0.604473, Time  0.394562
2021-09-11 02:43:24.672722 : Epoch  1, Batch    829, Loss  0.874011, Average Loss  0.878722, Time  0.324770
2021-09-11 02:43:26.241365 : Epoch  3, Batch    425, Loss  0.607980, Average Loss  0.604539, Time  0.238678
2021-09-11 02:43:27.273403 : Epoch  1, Batch    830, Loss  0.885097, Average Loss  0.878695, Time  0.238030
2021-09-11 02:43:29.870914 : Epoch  1, Batch    831, Loss  0.868568, Average Loss  0.878532, Time  0.238202
2021-09-11 02:43:31.033990 : Epoch  3, Batch    426, Loss  0.606829, Average Loss  0.604476, Time  0.274006
2021-09-11 02:43:32.481413 : Epoch  1, Batch    832, Loss  0.870714, Average Loss  0.878511, Time  0.237538
2021-09-11 02:43:35.109948 : Epoch  1, Batch    833, Loss  0.858783, Average Loss  0.878353, Time  0.253649
2021-09-11 02:43:37.756430 : Epoch  1, Batch    834, Loss  0.868019, Average Loss  0.878308, Time  0.238157
2021-09-11 02:43:40.407966 : Epoch  1, Batch    835, Loss  0.889600, Average Loss  0.878351, Time  0.241138
2021-09-11 02:43:43.038396 : Epoch  1, Batch    836, Loss  0.865064, Average Loss  0.878327, Time  0.246127
2021-09-11 02:43:45.664952 : Epoch  1, Batch    837, Loss  0.890630, Average Loss  0.878320, Time  0.238220
2021-09-11 02:43:48.470662 : Epoch  1, Batch    838, Loss  0.891899, Average Loss  0.878339, Time  0.246037
2021-09-11 02:43:51.125985 : Epoch  1, Batch    839, Loss  0.895596, Average Loss  0.878316, Time  0.240318
2021-09-11 02:43:53.754408 : Epoch  1, Batch    840, Loss  0.886749, Average Loss  0.878252, Time  0.246159
2021-09-11 02:43:56.429734 : Epoch  1, Batch    841, Loss  0.885911, Average Loss  0.878320, Time  0.239375
2021-09-11 02:43:59.055048 : Epoch  1, Batch    842, Loss  0.882490, Average Loss  0.878392, Time  0.242407
2021-09-11 02:44:01.697016 : Epoch  1, Batch    843, Loss  0.892997, Average Loss  0.878502, Time  0.244407
2021-09-11 02:44:04.341409 : Epoch  1, Batch    844, Loss  0.883452, Average Loss  0.878586, Time  0.240828
2021-09-11 02:44:06.957942 : Epoch  1, Batch    845, Loss  0.880459, Average Loss  0.878658, Time  0.238180
2021-09-11 02:44:09.608587 : Epoch  1, Batch    846, Loss  0.888201, Average Loss  0.878733, Time  0.260584
2021-09-11 02:44:12.294941 : Epoch  1, Batch    847, Loss  0.877027, Average Loss  0.878665, Time  0.303160
2021-09-11 02:44:15.013391 : Epoch  1, Batch    848, Loss  0.895124, Average Loss  0.878736, Time  0.319221
2021-09-11 02:44:17.735395 : Epoch  1, Batch    849, Loss  0.922575, Average Loss  0.878939, Time  0.325291
2021-09-11 02:44:20.468965 : Epoch  1, Batch    850, Loss  0.888885, Average Loss  0.879019, Time  0.319183
2021-09-11 02:44:23.175579 : Epoch  1, Batch    851, Loss  0.872903, Average Loss  0.878980, Time  0.320251
2021-09-11 02:44:25.886034 : Epoch  1, Batch    852, Loss  0.855478, Average Loss  0.878820, Time  0.318833
2021-09-11 02:44:28.616416 : Epoch  1, Batch    853, Loss  0.871696, Average Loss  0.878714, Time  0.318807
2021-09-11 02:44:30.372863 : CheckPoint: Validation Loss  0.00025083, Best Loss  0.00025083
2021-09-11 02:44:30.421578 : Best Model Updated
2021-09-11 02:44:31.268296 : Epoch  1, Batch    854, Loss  0.886049, Average Loss  0.878676, Time  0.239084
2021-09-11 02:44:33.273122 : Epoch  3, Batch    427, Loss  0.606848, Average Loss  0.604481, Time  0.256115
2021-09-11 02:44:33.898894 : Epoch  1, Batch    855, Loss  0.873578, Average Loss  0.878631, Time  0.238435
2021-09-11 02:44:34.943622 : Epoch  3, Batch    428, Loss  0.610238, Average Loss  0.604464, Time  0.269336
2021-09-11 02:44:36.693889 : Epoch  1, Batch    856, Loss  0.881962, Average Loss  0.878552, Time  0.402332
2021-09-11 02:44:36.748739 : Epoch  3, Batch    429, Loss  0.599911, Average Loss  0.604382, Time  0.338492
2021-09-11 02:44:38.339908 : Epoch  3, Batch    430, Loss  0.597573, Average Loss  0.604336, Time  0.237402
2021-09-11 02:44:39.326634 : Epoch  1, Batch    857, Loss  0.871312, Average Loss  0.878520, Time  0.237506
2021-09-11 02:44:39.941188 : Epoch  3, Batch    431, Loss  0.597653, Average Loss  0.604279, Time  0.242138
2021-09-11 02:44:41.545352 : Epoch  3, Batch    432, Loss  0.595406, Average Loss  0.604153, Time  0.243928
2021-09-11 02:44:41.992391 : Epoch  1, Batch    858, Loss  0.877339, Average Loss  0.878487, Time  0.237666
2021-09-11 02:44:43.161561 : Epoch  3, Batch    433, Loss  0.597715, Average Loss  0.604096, Time  0.249784
2021-09-11 02:44:44.905819 : Epoch  1, Batch    859, Loss  0.858840, Average Loss  0.878345, Time  0.450338
2021-09-11 02:44:44.951236 : Epoch  3, Batch    434, Loss  0.605561, Average Loss  0.604076, Time  0.417010
2021-09-11 02:44:46.532217 : Epoch  3, Batch    435, Loss  0.602683, Average Loss  0.604006, Time  0.245999
2021-09-11 02:44:47.537427 : Epoch  1, Batch    860, Loss  0.876231, Average Loss  0.878421, Time  0.237843
2021-09-11 02:44:48.283622 : Epoch  3, Batch    436, Loss  0.598044, Average Loss  0.603959, Time  0.245034
2021-09-11 02:44:49.896875 : Epoch  3, Batch    437, Loss  0.610325, Average Loss  0.604005, Time  0.239608
2021-09-11 02:44:50.174929 : Epoch  1, Batch    861, Loss  0.887287, Average Loss  0.878460, Time  0.244123
2021-09-11 02:44:51.463625 : Epoch  3, Batch    438, Loss  0.595613, Average Loss  0.603916, Time  0.238056
2021-09-11 02:44:52.794968 : Epoch  1, Batch    862, Loss  0.864978, Average Loss  0.878411, Time  0.238281
2021-09-11 02:44:53.054236 : Epoch  3, Batch    439, Loss  0.594424, Average Loss  0.603861, Time  0.240617
2021-09-11 02:44:54.633622 : Epoch  3, Batch    440, Loss  0.606913, Average Loss  0.603860, Time  0.246467
2021-09-11 02:44:55.411978 : Epoch  1, Batch    863, Loss  0.846743, Average Loss  0.878246, Time  0.241109
2021-09-11 02:44:56.270117 : Epoch  3, Batch    441, Loss  0.597469, Average Loss  0.603801, Time  0.242641
2021-09-11 02:44:57.978130 : Epoch  3, Batch    442, Loss  0.597848, Average Loss  0.603773, Time  0.341851
2021-09-11 02:44:58.090030 : Epoch  1, Batch    864, Loss  0.879021, Average Loss  0.878283, Time  0.280718
2021-09-11 02:44:59.643029 : Epoch  3, Batch    443, Loss  0.598901, Average Loss  0.603761, Time  0.243507
2021-09-11 02:45:00.735037 : Epoch  1, Batch    865, Loss  0.884415, Average Loss  0.878349, Time  0.245965
2021-09-11 02:45:01.230646 : Epoch  3, Batch    444, Loss  0.590313, Average Loss  0.603704, Time  0.242437
2021-09-11 02:45:02.820178 : Epoch  3, Batch    445, Loss  0.591164, Average Loss  0.603575, Time  0.240353
2021-09-11 02:45:03.441051 : Epoch  1, Batch    866, Loss  0.893731, Average Loss  0.878385, Time  0.238580
2021-09-11 02:45:04.520075 : Epoch  3, Batch    446, Loss  0.602226, Average Loss  0.603582, Time  0.234060
2021-09-11 02:45:06.126986 : Epoch  1, Batch    867, Loss  0.870466, Average Loss  0.878346, Time  0.241002
2021-09-11 02:45:06.365053 : Epoch  3, Batch    447, Loss  0.606209, Average Loss  0.603576, Time  0.242802
2021-09-11 02:45:08.020012 : Epoch  3, Batch    448, Loss  0.594351, Average Loss  0.603534, Time  0.301192
2021-09-11 02:45:08.797852 : Epoch  1, Batch    868, Loss  0.887607, Average Loss  0.878426, Time  0.238282
2021-09-11 02:45:09.643650 : Epoch  3, Batch    449, Loss  0.592119, Average Loss  0.603400, Time  0.246545
2021-09-11 02:45:11.447740 : Epoch  3, Batch    450, Loss  0.602865, Average Loss  0.603354, Time  0.421091
2021-09-11 02:45:11.543423 : Epoch  1, Batch    869, Loss  0.879018, Average Loss  0.878461, Time  0.250617
2021-09-11 02:45:13.105025 : Epoch  3, Batch    451, Loss  0.606913, Average Loss  0.603308, Time  0.248888
2021-09-11 02:45:13.987734 : CheckPoint: Validation Loss  0.00064873, Best Loss  0.00057296
2021-09-11 02:45:14.175850 : Epoch  1, Batch    870, Loss  0.850318, Average Loss  0.878329, Time  0.240926
2021-09-11 02:45:14.705358 : Epoch  3, Batch    452, Loss  0.604489, Average Loss  0.603325, Time  0.235520
2021-09-11 02:45:15.616925 : Epoch  3, Batch   1179, Loss  0.883683, Average Loss  0.871135, Time  0.177948
2021-09-11 02:45:16.290614 : Epoch  3, Batch    453, Loss  0.592161, Average Loss  0.603258, Time  0.236905
2021-09-11 02:45:16.853950 : Epoch  1, Batch    871, Loss  0.855425, Average Loss  0.878221, Time  0.246776
2021-09-11 02:45:17.234976 : Epoch  3, Batch   1180, Loss  0.883815, Average Loss  0.871142, Time  0.170789
2021-09-11 02:45:17.940701 : Epoch  3, Batch    454, Loss  0.589145, Average Loss  0.603154, Time  0.246954
2021-09-11 02:45:18.856981 : Epoch  3, Batch   1181, Loss  0.878701, Average Loss  0.871046, Time  0.169973
2021-09-11 02:45:19.723368 : Epoch  1, Batch    872, Loss  0.888706, Average Loss  0.878225, Time  0.450130
2021-09-11 02:45:19.766728 : Epoch  3, Batch    455, Loss  0.592108, Average Loss  0.603087, Time  0.409986
2021-09-11 02:45:20.490995 : Epoch  3, Batch   1182, Loss  0.848743, Average Loss  0.870969, Time  0.169922
2021-09-11 02:45:21.660043 : Epoch  3, Batch    456, Loss  0.606196, Average Loss  0.603075, Time  0.334062
2021-09-11 02:45:22.140976 : Epoch  3, Batch   1183, Loss  0.834032, Average Loss  0.870610, Time  0.170214
2021-09-11 02:45:22.360123 : Epoch  1, Batch    873, Loss  0.872663, Average Loss  0.878185, Time  0.237989
2021-09-11 02:45:23.244639 : Epoch  3, Batch    457, Loss  0.594000, Average Loss  0.603007, Time  0.250569
2021-09-11 02:45:23.775992 : Epoch  3, Batch   1184, Loss  0.857754, Average Loss  0.870477, Time  0.169655
2021-09-11 02:45:24.978991 : Epoch  3, Batch    458, Loss  0.585899, Average Loss  0.602904, Time  0.370432
2021-09-11 02:45:25.050959 : Epoch  1, Batch    874, Loss  0.884377, Average Loss  0.878205, Time  0.307578
2021-09-11 02:45:25.406999 : Epoch  3, Batch   1185, Loss  0.856989, Average Loss  0.870372, Time  0.169874
2021-09-11 02:45:26.925153 : Epoch  3, Batch    459, Loss  0.599694, Average Loss  0.602869, Time  0.248243
2021-09-11 02:45:27.048991 : Epoch  3, Batch   1186, Loss  0.867436, Average Loss  0.870242, Time  0.169748
2021-09-11 02:45:27.655859 : Epoch  1, Batch    875, Loss  0.886254, Average Loss  0.878213, Time  0.238985
2021-09-11 02:45:28.514643 : Epoch  3, Batch    460, Loss  0.592954, Average Loss  0.602725, Time  0.242046
2021-09-11 02:45:28.682987 : Epoch  3, Batch   1187, Loss  0.816083, Average Loss  0.869990, Time  0.169728
2021-09-11 02:45:30.194002 : Epoch  3, Batch    461, Loss  0.608030, Average Loss  0.602770, Time  0.328763
2021-09-11 02:45:30.314986 : Epoch  3, Batch   1188, Loss  0.874176, Average Loss  0.870096, Time  0.172235
2021-09-11 02:45:30.315915 : Epoch  1, Batch    876, Loss  0.882184, Average Loss  0.878131, Time  0.262065
2021-09-11 02:45:31.920994 : Epoch  3, Batch   1189, Loss  0.854797, Average Loss  0.869986, Time  0.169943
2021-09-11 02:45:32.968964 : Epoch  1, Batch    877, Loss  0.884808, Average Loss  0.878144, Time  0.237985
2021-09-11 02:45:33.568832 : Epoch  3, Batch   1190, Loss  0.847325, Average Loss  0.869813, Time  0.170146
2021-09-11 02:45:35.138999 : Epoch  3, Batch    464, Loss  0.594933, Average Loss  0.602559, Time  0.248388
2021-09-11 02:45:35.205996 : Epoch  3, Batch   1191, Loss  0.905751, Average Loss  0.869839, Time  0.169512
2021-09-11 02:45:35.590663 : Epoch  1, Batch    878, Loss  0.871146, Average Loss  0.878174, Time  0.237470
2021-09-11 02:45:36.763125 : Epoch  3, Batch    465, Loss  0.598645, Average Loss  0.602536, Time  0.237575
2021-09-11 02:45:36.820995 : Epoch  3, Batch   1192, Loss  0.868648, Average Loss  0.869861, Time  0.171910
2021-09-11 02:45:38.207423 : Epoch  1, Batch    879, Loss  0.866574, Average Loss  0.878108, Time  0.240328
2021-09-11 02:45:38.438997 : Epoch  3, Batch   1193, Loss  0.852061, Average Loss  0.869647, Time  0.169931
2021-09-11 02:45:38.453013 : Epoch  3, Batch    466, Loss  0.597747, Average Loss  0.602492, Time  0.250326
2021-09-11 02:45:40.070998 : Epoch  3, Batch   1194, Loss  0.888750, Average Loss  0.869757, Time  0.169577
2021-09-11 02:45:40.086064 : Epoch  3, Batch    467, Loss  0.597599, Average Loss  0.602408, Time  0.249534
2021-09-11 02:45:40.839096 : Epoch  1, Batch    880, Loss  0.855331, Average Loss  0.878116, Time  0.237776
2021-09-11 02:45:41.699990 : Epoch  3, Batch   1195, Loss  0.823293, Average Loss  0.869439, Time  0.169580
2021-09-11 02:45:41.792319 : Epoch  3, Batch    468, Loss  0.603037, Average Loss  0.602377, Time  0.299652
2021-09-11 02:45:43.311001 : Epoch  3, Batch   1196, Loss  0.848541, Average Loss  0.869431, Time  0.169945
2021-09-11 02:45:43.682867 : Epoch  1, Batch    881, Loss  0.883419, Average Loss  0.878112, Time  0.427787
2021-09-11 02:45:43.728016 : Epoch  3, Batch    469, Loss  0.592284, Average Loss  0.602311, Time  0.465965
2021-09-11 02:45:44.951997 : Epoch  3, Batch   1197, Loss  0.879363, Average Loss  0.869379, Time  0.169707
2021-09-11 02:45:45.307978 : Epoch  3, Batch    470, Loss  0.593016, Average Loss  0.602210, Time  0.241776
2021-09-11 02:45:46.360238 : Epoch  1, Batch    882, Loss  0.888847, Average Loss  0.878157, Time  0.238860
2021-09-11 02:45:46.589000 : Epoch  3, Batch   1198, Loss  0.872142, Average Loss  0.869400, Time  0.169960
2021-09-11 02:45:47.044977 : Epoch  3, Batch    471, Loss  0.604605, Average Loss  0.602140, Time  0.266445
2021-09-11 02:45:48.220993 : Epoch  3, Batch   1199, Loss  0.868495, Average Loss  0.869468, Time  0.169822
2021-09-11 02:45:48.822666 : Epoch  3, Batch    472, Loss  0.596963, Average Loss  0.602029, Time  0.251841
2021-09-11 02:45:49.107991 : Epoch  1, Batch    883, Loss  0.893080, Average Loss  0.878233, Time  0.242366
2021-09-11 02:45:49.852994 : Epoch  3, Batch   1200, Loss  0.891653, Average Loss  0.869598, Time  0.169636
2021-09-11 02:45:50.401055 : Epoch  3, Batch    473, Loss  0.594582, Average Loss  0.601953, Time  0.240701
2021-09-11 02:45:51.488990 : Epoch  3, Batch   1201, Loss  0.829185, Average Loss  0.869477, Time  0.169760
2021-09-11 02:45:52.105206 : Epoch  1, Batch    884, Loss  0.884726, Average Loss  0.878311, Time  0.443491
2021-09-11 02:45:52.151283 : Epoch  3, Batch    474, Loss  0.602916, Average Loss  0.601953, Time  0.383290
2021-09-11 02:45:53.115983 : Epoch  3, Batch   1202, Loss  0.840155, Average Loss  0.869216, Time  0.169711
2021-09-11 02:45:53.730093 : Epoch  3, Batch    475, Loss  0.609471, Average Loss  0.601980, Time  0.241005
2021-09-11 02:45:54.750724 : Epoch  3, Batch   1203, Loss  0.855499, Average Loss  0.869120, Time  0.169575
2021-09-11 02:45:54.865852 : Epoch  1, Batch    885, Loss  0.882523, Average Loss  0.878385, Time  0.240120
2021-09-11 02:45:55.322635 : Epoch  3, Batch    476, Loss  0.610831, Average Loss  0.602014, Time  0.242715
2021-09-11 02:45:56.394001 : Epoch  3, Batch   1204, Loss  0.852374, Average Loss  0.868806, Time  0.169885
2021-09-11 02:45:56.928098 : Epoch  3, Batch    477, Loss  0.603953, Average Loss  0.602034, Time  0.255684
2021-09-11 02:45:57.611806 : Epoch  1, Batch    886, Loss  0.887882, Average Loss  0.878312, Time  0.238927
2021-09-11 02:45:58.017998 : Epoch  3, Batch   1205, Loss  0.858186, Average Loss  0.868756, Time  0.170367
2021-09-11 02:45:58.677134 : Epoch  3, Batch    478, Loss  0.593192, Average Loss  0.601990, Time  0.267631
2021-09-11 02:45:59.640757 : Epoch  3, Batch   1206, Loss  0.875669, Average Loss  0.868814, Time  0.169836
2021-09-11 02:46:00.467299 : Epoch  1, Batch    887, Loss  0.869349, Average Loss  0.878232, Time  0.457003
2021-09-11 02:46:00.511120 : Epoch  3, Batch    479, Loss  0.606875, Average Loss  0.602006, Time  0.432254
2021-09-11 02:46:01.260798 : Epoch  3, Batch   1207, Loss  0.864498, Average Loss  0.868717, Time  0.171571
2021-09-11 02:46:02.100743 : Epoch  3, Batch    480, Loss  0.603151, Average Loss  0.601988, Time  0.248135
2021-09-11 02:46:02.892986 : Epoch  3, Batch   1208, Loss  0.882020, Average Loss  0.868763, Time  0.170424
2021-09-11 02:46:03.162897 : Epoch  1, Batch    888, Loss  0.867357, Average Loss  0.878198, Time  0.238809
2021-09-11 02:46:03.766181 : Epoch  3, Batch    481, Loss  0.605347, Average Loss  0.601993, Time  0.286440
2021-09-11 02:46:04.527000 : Epoch  3, Batch   1209, Loss  0.874853, Average Loss  0.868787, Time  0.170031
2021-09-11 02:46:05.596414 : Epoch  3, Batch    482, Loss  0.590934, Average Loss  0.601875, Time  0.239008
2021-09-11 02:46:05.866413 : Epoch  1, Batch    889, Loss  0.862197, Average Loss  0.878061, Time  0.239263
2021-09-11 02:46:06.156770 : Epoch  3, Batch   1210, Loss  0.848951, Average Loss  0.868667, Time  0.169945
2021-09-11 02:46:07.225238 : Epoch  3, Batch    483, Loss  0.616577, Average Loss  0.601946, Time  0.258501
2021-09-11 02:46:07.785099 : Epoch  3, Batch   1211, Loss  0.872772, Average Loss  0.868694, Time  0.169875
2021-09-11 02:46:08.598879 : Epoch  1, Batch    890, Loss  0.894843, Average Loss  0.878061, Time  0.238336
2021-09-11 02:46:08.833328 : Epoch  3, Batch    484, Loss  0.596996, Average Loss  0.601910, Time  0.250411
2021-09-11 02:46:09.414023 : Epoch  3, Batch   1212, Loss  0.857587, Average Loss  0.868667, Time  0.170050
2021-09-11 02:46:10.588028 : Epoch  3, Batch    485, Loss  0.598241, Average Loss  0.601910, Time  0.269990
2021-09-11 02:46:11.036078 : Epoch  3, Batch   1213, Loss  0.867192, Average Loss  0.868679, Time  0.170146
2021-09-11 02:46:11.308905 : Epoch  1, Batch    891, Loss  0.868623, Average Loss  0.878034, Time  0.242432
2021-09-11 02:46:12.211029 : Epoch  3, Batch    486, Loss  0.582569, Average Loss  0.601770, Time  0.285824
2021-09-11 02:46:12.656003 : Epoch  3, Batch   1214, Loss  0.832104, Average Loss  0.868571, Time  0.170122
2021-09-11 02:46:13.778652 : Epoch  3, Batch    487, Loss  0.604625, Average Loss  0.601803, Time  0.241529
2021-09-11 02:46:14.002896 : Epoch  1, Batch    892, Loss  0.863372, Average Loss  0.877994, Time  0.252038
2021-09-11 02:46:14.311918 : Epoch  3, Batch   1215, Loss  0.884533, Average Loss  0.868862, Time  0.170078
2021-09-11 02:46:15.390704 : Epoch  3, Batch    488, Loss  0.582644, Average Loss  0.601726, Time  0.239189
2021-09-11 02:46:15.933817 : Epoch  3, Batch   1216, Loss  0.889204, Average Loss  0.869059, Time  0.169977
2021-09-11 02:46:16.688396 : Epoch  1, Batch    893, Loss  0.889324, Average Loss  0.878053, Time  0.237408
2021-09-11 02:46:17.084389 : Epoch  3, Batch    489, Loss  0.595993, Average Loss  0.601661, Time  0.247214
2021-09-11 02:46:17.558002 : Epoch  3, Batch   1217, Loss  0.866728, Average Loss  0.868959, Time  0.169848
2021-09-11 02:46:18.669949 : Epoch  3, Batch    490, Loss  0.589385, Average Loss  0.601579, Time  0.243453
2021-09-11 02:46:19.172781 : Epoch  3, Batch   1218, Loss  0.878933, Average Loss  0.868926, Time  0.170120
2021-09-11 02:46:19.471818 : Epoch  1, Batch    894, Loss  0.874083, Average Loss  0.877941, Time  0.244164
2021-09-11 02:46:20.534099 : Epoch  3, Batch    491, Loss  0.602536, Average Loss  0.601627, Time  0.264660
2021-09-11 02:46:20.799016 : Epoch  3, Batch   1219, Loss  0.860698, Average Loss  0.868877, Time  0.169860
2021-09-11 02:46:22.339862 : Epoch  1, Batch    895, Loss  0.889017, Average Loss  0.877983, Time  0.441276
2021-09-11 02:46:22.443019 : Epoch  3, Batch   1220, Loss  0.884924, Average Loss  0.868796, Time  0.169911
2021-09-11 02:46:24.075029 : Epoch  3, Batch   1221, Loss  0.861619, Average Loss  0.868742, Time  0.170185
2021-09-11 02:46:24.182031 : Epoch  3, Batch    493, Loss  0.598938, Average Loss  0.601564, Time  0.241328
2021-09-11 02:46:25.021864 : Epoch  1, Batch    896, Loss  0.893221, Average Loss  0.878129, Time  0.240463
2021-09-11 02:46:25.711775 : Epoch  3, Batch   1222, Loss  0.880823, Average Loss  0.868803, Time  0.169882
2021-09-11 02:46:25.772625 : Epoch  3, Batch    494, Loss  0.594162, Average Loss  0.601514, Time  0.238330
2021-09-11 02:46:27.346775 : Epoch  3, Batch   1223, Loss  0.852569, Average Loss  0.868866, Time  0.172770
2021-09-11 02:46:27.362710 : Epoch  3, Batch    495, Loss  0.598172, Average Loss  0.601489, Time  0.240750
2021-09-11 02:46:27.695862 : Epoch  1, Batch    897, Loss  0.879633, Average Loss  0.878001, Time  0.242860
2021-09-11 02:46:28.971795 : Epoch  3, Batch   1224, Loss  0.907011, Average Loss  0.868913, Time  0.170166
2021-09-11 02:46:30.414889 : Epoch  1, Batch    898, Loss  0.862438, Average Loss  0.878029, Time  0.239503
2021-09-11 02:46:30.614836 : Epoch  3, Batch   1225, Loss  0.849854, Average Loss  0.868832, Time  0.169822
2021-09-11 02:46:32.227006 : Epoch  3, Batch   1226, Loss  0.877487, Average Loss  0.868783, Time  0.169783
2021-09-11 02:46:33.211723 : Epoch  1, Batch    899, Loss  0.874301, Average Loss  0.878054, Time  0.342770
2021-09-11 02:46:33.335010 : Epoch  3, Batch    497, Loss  0.590608, Average Loss  0.601417, Time  0.288839
2021-09-11 02:46:33.852014 : Epoch  3, Batch   1227, Loss  0.864900, Average Loss  0.868711, Time  0.169908
2021-09-11 02:46:34.936691 : Epoch  3, Batch    498, Loss  0.597239, Average Loss  0.601414, Time  0.236757
2021-09-11 02:46:35.498756 : Epoch  3, Batch   1228, Loss  0.889178, Average Loss  0.868906, Time  0.172744
2021-09-11 02:46:36.089868 : Epoch  1, Batch    900, Loss  0.868158, Average Loss  0.878035, Time  0.239391
2021-09-11 02:46:36.582042 : Epoch  3, Batch    499, Loss  0.600475, Average Loss  0.601437, Time  0.241262
2021-09-11 02:46:37.133845 : Epoch  3, Batch   1229, Loss  0.867631, Average Loss  0.868979, Time  0.169988
2021-09-11 02:46:38.262412 : Epoch  3, Batch    500, Loss  0.597908, Average Loss  0.601408, Time  0.241346
2021-09-11 02:46:38.731045 : Epoch  3, Batch   1230, Loss  0.896865, Average Loss  0.869031, Time  0.170814
2021-09-11 02:46:39.870690 : Epoch  3, Batch    501, Loss  0.599207, Average Loss  0.601389, Time  0.247681
2021-09-11 02:46:40.363881 : Epoch  3, Batch   1231, Loss  0.896590, Average Loss  0.869075, Time  0.175537
2021-09-11 02:46:41.482547 : Epoch  3, Batch    502, Loss  0.602054, Average Loss  0.601402, Time  0.238239
2021-09-11 02:46:41.975453 : Epoch  3, Batch   1232, Loss  0.860392, Average Loss  0.868899, Time  0.173608
2021-09-11 02:46:43.063224 : Epoch  3, Batch    503, Loss  0.593700, Average Loss  0.601327, Time  0.252151
2021-09-11 02:46:43.586763 : Epoch  3, Batch   1233, Loss  0.871996, Average Loss  0.868991, Time  0.170535
2021-09-11 02:46:44.636590 : Epoch  3, Batch    504, Loss  0.580877, Average Loss  0.601242, Time  0.237514
2021-09-11 02:46:45.207042 : Epoch  3, Batch   1234, Loss  0.875070, Average Loss  0.869119, Time  0.171767
2021-09-11 02:46:46.211798 : Epoch  3, Batch    505, Loss  0.597362, Average Loss  0.601209, Time  0.238147
2021-09-11 02:46:46.828782 : Epoch  3, Batch   1235, Loss  0.879078, Average Loss  0.869284, Time  0.170362
2021-09-11 02:46:47.847036 : Epoch  3, Batch    506, Loss  0.604596, Average Loss  0.601229, Time  0.282411
2021-09-11 02:46:48.465044 : Epoch  3, Batch   1236, Loss  0.897440, Average Loss  0.869384, Time  0.182126
2021-09-11 02:46:49.412117 : Epoch  3, Batch    507, Loss  0.598492, Average Loss  0.601171, Time  0.237879
2021-09-11 02:46:50.095908 : Epoch  3, Batch   1237, Loss  0.860902, Average Loss  0.869162, Time  0.173352
2021-09-11 02:46:51.073270 : Epoch  3, Batch    508, Loss  0.600546, Average Loss  0.601151, Time  0.247025
2021-09-11 02:46:51.735058 : Epoch  3, Batch   1238, Loss  0.883009, Average Loss  0.869126, Time  0.173762
2021-09-11 02:46:52.751080 : Epoch  3, Batch    509, Loss  0.609630, Average Loss  0.601192, Time  0.322524
2021-09-11 02:46:53.355887 : Epoch  3, Batch   1239, Loss  0.835879, Average Loss  0.868871, Time  0.174174
2021-09-11 02:46:54.332612 : Epoch  3, Batch    510, Loss  0.598645, Average Loss  0.601183, Time  0.240317
2021-09-11 02:46:54.964745 : Epoch  3, Batch   1240, Loss  0.846348, Average Loss  0.868765, Time  0.172237
2021-09-11 02:46:55.935178 : Epoch  3, Batch    511, Loss  0.592731, Average Loss  0.601128, Time  0.241560
2021-09-11 02:46:56.583034 : Epoch  3, Batch   1241, Loss  0.826627, Average Loss  0.868575, Time  0.173160
2021-09-11 02:46:57.697655 : Epoch  3, Batch    512, Loss  0.591370, Average Loss  0.601080, Time  0.324653
2021-09-11 02:46:58.207092 : Epoch  3, Batch   1242, Loss  0.891118, Average Loss  0.868650, Time  0.173596
2021-09-11 02:46:59.271280 : Epoch  3, Batch    513, Loss  0.598728, Average Loss  0.601036, Time  0.255462
2021-09-11 02:46:59.820767 : Epoch  3, Batch   1243, Loss  0.889728, Average Loss  0.868860, Time  0.171956
2021-09-11 02:47:00.947733 : Epoch  3, Batch    514, Loss  0.579198, Average Loss  0.600851, Time  0.236439
2021-09-11 02:47:01.433035 : Epoch  3, Batch   1244, Loss  0.887596, Average Loss  0.868807, Time  0.170280
2021-09-11 02:47:02.727975 : Epoch  3, Batch    515, Loss  0.601892, Average Loss  0.600821, Time  0.322223
2021-09-11 02:47:03.063042 : Epoch  3, Batch   1245, Loss  0.877788, Average Loss  0.868849, Time  0.171720
2021-09-11 02:47:04.301716 : Epoch  3, Batch    516, Loss  0.596899, Average Loss  0.600758, Time  0.246868
2021-09-11 02:47:04.681051 : Epoch  3, Batch   1246, Loss  0.897021, Average Loss  0.869014, Time  0.170741
2021-09-11 02:47:05.916119 : Epoch  3, Batch    517, Loss  0.595550, Average Loss  0.600714, Time  0.236978
2021-09-11 02:47:06.292767 : Epoch  3, Batch   1247, Loss  0.851180, Average Loss  0.868926, Time  0.177233
2021-09-11 02:47:07.528975 : Epoch  3, Batch    518, Loss  0.594438, Average Loss  0.600614, Time  0.237358
2021-09-11 02:47:07.909889 : Epoch  3, Batch   1248, Loss  0.879770, Average Loss  0.868941, Time  0.175056
2021-09-11 02:47:09.137998 : Epoch  3, Batch    519, Loss  0.594180, Average Loss  0.600548, Time  0.239820
2021-09-11 02:47:09.509055 : Epoch  3, Batch   1249, Loss  0.828148, Average Loss  0.868663, Time  0.170264
2021-09-11 02:47:10.863180 : Epoch  3, Batch    520, Loss  0.597554, Average Loss  0.600544, Time  0.244724
2021-09-11 02:47:11.134933 : Epoch  3, Batch   1250, Loss  0.872848, Average Loss  0.868755, Time  0.170112
2021-09-11 02:47:12.485405 : Epoch  3, Batch    521, Loss  0.592764, Average Loss  0.600463, Time  0.259461
2021-09-11 02:47:12.794007 : Epoch  3, Batch   1251, Loss  0.851372, Average Loss  0.868423, Time  0.169838
2021-09-11 02:47:14.204046 : Epoch  3, Batch    522, Loss  0.597536, Average Loss  0.600365, Time  0.253253
2021-09-11 02:47:14.440986 : Epoch  3, Batch   1252, Loss  0.870500, Average Loss  0.868373, Time  0.169772
2021-09-11 02:47:15.918071 : Epoch  3, Batch    523, Loss  0.593010, Average Loss  0.600295, Time  0.235537
2021-09-11 02:47:16.064820 : Epoch  3, Batch   1253, Loss  0.873590, Average Loss  0.868235, Time  0.170235
2021-09-11 02:47:17.613141 : Epoch  3, Batch    524, Loss  0.601598, Average Loss  0.600241, Time  0.315278
2021-09-11 02:47:17.695005 : Epoch  3, Batch   1254, Loss  0.885961, Average Loss  0.868301, Time  0.170054
2021-09-11 02:47:19.241058 : Epoch  3, Batch    525, Loss  0.608128, Average Loss  0.600291, Time  0.238374
2021-09-11 02:47:19.326995 : Epoch  3, Batch   1255, Loss  0.890873, Average Loss  0.868441, Time  0.169801
2021-09-11 02:47:20.887734 : Epoch  3, Batch    526, Loss  0.589942, Average Loss  0.600196, Time  0.240051
2021-09-11 02:47:20.950988 : Epoch  3, Batch   1256, Loss  0.894395, Average Loss  0.868540, Time  0.169760
2021-09-11 02:47:22.572909 : Epoch  3, Batch   1257, Loss  0.862488, Average Loss  0.868433, Time  0.169733
2021-09-11 02:47:24.197993 : Epoch  3, Batch   1258, Loss  0.888308, Average Loss  0.868573, Time  0.170022
2021-09-11 02:47:25.832758 : Epoch  3, Batch   1259, Loss  0.869603, Average Loss  0.868608, Time  0.169701
2021-09-11 02:47:27.469078 : Epoch  3, Batch   1260, Loss  0.855385, Average Loss  0.868432, Time  0.169815
2021-09-11 02:47:29.087782 : Epoch  3, Batch   1261, Loss  0.868138, Average Loss  0.868452, Time  0.175162
2021-09-11 02:47:30.707813 : Epoch  3, Batch   1262, Loss  0.841209, Average Loss  0.868202, Time  0.176732
2021-09-11 02:47:32.312766 : Epoch  3, Batch   1263, Loss  0.883855, Average Loss  0.868162, Time  0.172961
2021-09-11 02:47:33.927003 : Epoch  3, Batch   1264, Loss  0.857368, Average Loss  0.868048, Time  0.169601
2021-09-11 02:47:35.567706 : Epoch  3, Batch   1265, Loss  0.866644, Average Loss  0.868064, Time  0.170003
2021-09-11 02:47:37.201905 : Epoch  3, Batch   1266, Loss  0.860086, Average Loss  0.868077, Time  0.169857
2021-09-11 02:47:38.823831 : Epoch  3, Batch   1267, Loss  0.846718, Average Loss  0.868037, Time  0.169958
2021-09-11 02:47:40.473828 : Epoch  3, Batch   1268, Loss  0.890586, Average Loss  0.868122, Time  0.170147
2021-09-11 02:47:42.112841 : Epoch  3, Batch   1269, Loss  0.849919, Average Loss  0.868095, Time  0.169637
2021-09-11 02:47:43.751800 : Epoch  3, Batch   1270, Loss  0.872248, Average Loss  0.868139, Time  0.169911
2021-09-11 02:47:45.412773 : Epoch  3, Batch   1271, Loss  0.874545, Average Loss  0.868126, Time  0.170089
2021-09-11 02:47:47.037760 : Epoch  3, Batch   1272, Loss  0.868849, Average Loss  0.868094, Time  0.169827
2021-09-11 02:47:48.671777 : Epoch  3, Batch   1273, Loss  0.897665, Average Loss  0.868184, Time  0.169668
2021-09-11 02:47:50.297854 : Epoch  3, Batch   1274, Loss  0.869827, Average Loss  0.868239, Time  0.169845
2021-09-11 02:47:51.939742 : Epoch  3, Batch   1275, Loss  0.871256, Average Loss  0.868415, Time  0.170002
2021-09-11 02:47:53.576745 : Epoch  3, Batch   1276, Loss  0.850034, Average Loss  0.868261, Time  0.172127
2021-09-11 02:47:55.196991 : Epoch  3, Batch   1277, Loss  0.880710, Average Loss  0.868383, Time  0.169315
2021-09-11 02:47:56.824979 : Epoch  3, Batch   1278, Loss  0.880843, Average Loss  0.868429, Time  0.169736
2021-09-11 02:48:20.265227 : CheckPoint: Validation Loss  0.00024694, Best Loss  0.00024694
2021-09-11 02:48:20.303637 : Best Model Updated
2021-09-11 02:48:23.114053 : Epoch  3, Batch    527, Loss  0.592382, Average Loss  0.600171, Time  0.240318
2021-09-11 02:48:24.678007 : Epoch  3, Batch    528, Loss  0.600625, Average Loss  0.600131, Time  0.241466
2021-09-11 02:48:26.235099 : Epoch  3, Batch    529, Loss  0.578771, Average Loss  0.600042, Time  0.234970
2021-09-11 02:48:27.794981 : Epoch  3, Batch    530, Loss  0.579287, Average Loss  0.599886, Time  0.235753
2021-09-11 02:48:29.369228 : Epoch  3, Batch    531, Loss  0.610660, Average Loss  0.599935, Time  0.242392
2021-09-11 02:48:31.010223 : Epoch  3, Batch    532, Loss  0.600854, Average Loss  0.599907, Time  0.321550
2021-09-11 02:48:32.586186 : Epoch  3, Batch    533, Loss  0.592430, Average Loss  0.599901, Time  0.232970
2021-09-11 02:48:34.210977 : Epoch  3, Batch    534, Loss  0.594362, Average Loss  0.599920, Time  0.242445
2021-09-11 02:48:35.921988 : Epoch  3, Batch    535, Loss  0.606299, Average Loss  0.599985, Time  0.321481
2021-09-11 02:48:37.540186 : Epoch  3, Batch    536, Loss  0.590094, Average Loss  0.599941, Time  0.237115
2021-09-11 02:48:39.414297 : Epoch  3, Batch    537, Loss  0.594556, Average Loss  0.599908, Time  0.254050
2021-09-11 02:48:41.029215 : Epoch  3, Batch    538, Loss  0.592689, Average Loss  0.599830, Time  0.237386
2021-09-11 02:48:42.876541 : Epoch  3, Batch    539, Loss  0.597340, Average Loss  0.599778, Time  0.254416
2021-09-11 02:48:44.745128 : Epoch  3, Batch    540, Loss  0.593924, Average Loss  0.599689, Time  0.273110
2021-09-11 02:48:46.327255 : Epoch  3, Batch    541, Loss  0.600684, Average Loss  0.599656, Time  0.248741
2021-09-11 02:48:47.898607 : Epoch  3, Batch    542, Loss  0.594490, Average Loss  0.599603, Time  0.242318
2021-09-11 02:48:49.524972 : Epoch  3, Batch    543, Loss  0.601851, Average Loss  0.599624, Time  0.241134
2021-09-11 02:48:51.153065 : Epoch  3, Batch    544, Loss  0.590661, Average Loss  0.599567, Time  0.279954
2021-09-11 02:48:52.754106 : Epoch  3, Batch    545, Loss  0.592948, Average Loss  0.599465, Time  0.238580
2021-09-11 02:48:54.523222 : Epoch  3, Batch    546, Loss  0.590612, Average Loss  0.599354, Time  0.243509
2021-09-11 02:48:56.093993 : Epoch  3, Batch    547, Loss  0.597567, Average Loss  0.599363, Time  0.244353
2021-09-11 02:48:57.799926 : Epoch  3, Batch    548, Loss  0.592835, Average Loss  0.599239, Time  0.241148
2021-09-11 02:48:59.398015 : Epoch  3, Batch    549, Loss  0.595432, Average Loss  0.599196, Time  0.236490
2021-09-11 02:49:01.002502 : Epoch  3, Batch    550, Loss  0.599498, Average Loss  0.599213, Time  0.238822
2021-09-11 02:49:02.703237 : Epoch  3, Batch    551, Loss  0.600617, Average Loss  0.599195, Time  0.236706
2021-09-11 02:49:04.315570 : Epoch  3, Batch    552, Loss  0.588588, Average Loss  0.599116, Time  0.272978
2021-09-11 02:49:05.903971 : Epoch  3, Batch    553, Loss  0.588671, Average Loss  0.599081, Time  0.246453
2021-09-11 02:49:07.480082 : Epoch  3, Batch    554, Loss  0.586803, Average Loss  0.599020, Time  0.245328
2021-09-11 02:49:09.142991 : Epoch  3, Batch    555, Loss  0.588189, Average Loss  0.598893, Time  0.240493
2021-09-11 02:49:10.884630 : Epoch  3, Batch    556, Loss  0.598539, Average Loss  0.598838, Time  0.276198
2021-09-11 02:49:12.656207 : Epoch  3, Batch    557, Loss  0.590106, Average Loss  0.598734, Time  0.297320
2021-09-11 02:49:14.250649 : Epoch  3, Batch    558, Loss  0.586109, Average Loss  0.598673, Time  0.245448
2021-09-11 02:49:15.957282 : Epoch  3, Batch    559, Loss  0.589701, Average Loss  0.598641, Time  0.323698
2021-09-11 02:49:17.540656 : Epoch  3, Batch    560, Loss  0.578634, Average Loss  0.598508, Time  0.249407
2021-09-11 02:49:19.206690 : Epoch  3, Batch    561, Loss  0.598500, Average Loss  0.598520, Time  0.251488
2021-09-11 02:49:20.813230 : Epoch  3, Batch    562, Loss  0.611373, Average Loss  0.598508, Time  0.237096
2021-09-11 02:49:22.400358 : Epoch  3, Batch    563, Loss  0.584345, Average Loss  0.598353, Time  0.244768
2021-09-11 02:49:23.979058 : Epoch  3, Batch    564, Loss  0.601811, Average Loss  0.598352, Time  0.239798
2021-09-11 02:49:25.603033 : Epoch  3, Batch    565, Loss  0.586598, Average Loss  0.598300, Time  0.241943
2021-09-11 02:49:27.566311 : Epoch  3, Batch    566, Loss  0.587438, Average Loss  0.598226, Time  0.241313
2021-09-11 02:49:29.139157 : Epoch  3, Batch    567, Loss  0.593515, Average Loss  0.598219, Time  0.234457
2021-09-11 02:49:30.727458 : Epoch  3, Batch    568, Loss  0.588869, Average Loss  0.598147, Time  0.248293
2021-09-11 02:49:32.312690 : Epoch  3, Batch    569, Loss  0.599082, Average Loss  0.598161, Time  0.242461
2021-09-11 02:49:33.997192 : Epoch  3, Batch    570, Loss  0.597358, Average Loss  0.598132, Time  0.234064
2021-09-11 02:49:35.590161 : Epoch  3, Batch    571, Loss  0.593368, Average Loss  0.598108, Time  0.249022
2021-09-11 02:49:37.218066 : Epoch  3, Batch    572, Loss  0.581467, Average Loss  0.597980, Time  0.243599
2021-09-11 02:49:38.857203 : Epoch  3, Batch    573, Loss  0.617453, Average Loss  0.598030, Time  0.299594
2021-09-11 02:49:40.452246 : Epoch  3, Batch    574, Loss  0.597135, Average Loss  0.597968, Time  0.242288
2021-09-11 02:49:42.049990 : Epoch  3, Batch    575, Loss  0.584153, Average Loss  0.597862, Time  0.246320
2021-09-11 02:49:43.646236 : Epoch  3, Batch    576, Loss  0.589297, Average Loss  0.597787, Time  0.260780
2021-09-11 02:49:45.257705 : Epoch  3, Batch    577, Loss  0.599276, Average Loss  0.597828, Time  0.246554
2021-09-11 02:49:46.869630 : Epoch  3, Batch    578, Loss  0.594229, Average Loss  0.597785, Time  0.238216
2021-09-11 02:49:48.426899 : Epoch  3, Batch    579, Loss  0.599217, Average Loss  0.597774, Time  0.238800
2021-09-11 02:49:50.081753 : Epoch  3, Batch    580, Loss  0.595810, Average Loss  0.597753, Time  0.236145
2021-09-11 02:49:51.714117 : Epoch  3, Batch    581, Loss  0.593891, Average Loss  0.597671, Time  0.239691
2021-09-11 02:49:53.297688 : Epoch  3, Batch    582, Loss  0.581851, Average Loss  0.597508, Time  0.242403
2021-09-11 02:49:55.299054 : Epoch  3, Batch    583, Loss  0.590831, Average Loss  0.597440, Time  0.270675
2021-09-11 02:49:57.045470 : Epoch  3, Batch    584, Loss  0.593681, Average Loss  0.597448, Time  0.262578
2021-09-11 02:49:58.789705 : Epoch  3, Batch    585, Loss  0.584551, Average Loss  0.597327, Time  0.318421
2021-09-11 02:50:00.468225 : Epoch  3, Batch    586, Loss  0.589329, Average Loss  0.597298, Time  0.282123
2021-09-11 02:50:02.128961 : Epoch  3, Batch    587, Loss  0.604639, Average Loss  0.597327, Time  0.238933
2021-09-11 02:50:03.736221 : Epoch  3, Batch    588, Loss  0.595415, Average Loss  0.597303, Time  0.238777
2021-09-11 02:50:05.291099 : Epoch  3, Batch    589, Loss  0.603720, Average Loss  0.597288, Time  0.236272
2021-09-11 02:50:06.868307 : Epoch  3, Batch    590, Loss  0.593049, Average Loss  0.597190, Time  0.237572
2021-09-11 02:50:08.614732 : Epoch  3, Batch    591, Loss  0.590007, Average Loss  0.597063, Time  0.250471
2021-09-11 02:50:10.293047 : Epoch  3, Batch    592, Loss  0.607180, Average Loss  0.597042, Time  0.234429
2021-09-11 02:50:11.869966 : Epoch  3, Batch    593, Loss  0.591602, Average Loss  0.597067, Time  0.238156
2021-09-11 02:50:13.468197 : Epoch  3, Batch    594, Loss  0.593597, Average Loss  0.597036, Time  0.235721
2021-09-11 02:50:15.071166 : Epoch  3, Batch    595, Loss  0.595908, Average Loss  0.597023, Time  0.240589
2021-09-11 02:50:16.700484 : Epoch  3, Batch    596, Loss  0.596966, Average Loss  0.597005, Time  0.255119
2021-09-11 02:50:21.018471 : Epoch  3, Batch    597, Loss  0.604157, Average Loss  0.596971, Time  0.236744
2021-09-11 02:50:22.609981 : Epoch  3, Batch    598, Loss  0.598331, Average Loss  0.596935, Time  0.246174
2021-09-11 02:50:24.193897 : Epoch  3, Batch    599, Loss  0.592209, Average Loss  0.596843, Time  0.241165
2021-09-11 02:50:25.770781 : Epoch  3, Batch    600, Loss  0.592352, Average Loss  0.596756, Time  0.239102
2021-09-11 02:50:27.364050 : Epoch  3, Batch    601, Loss  0.586548, Average Loss  0.596694, Time  0.241288
2021-09-11 02:50:28.942235 : Epoch  3, Batch    602, Loss  0.590803, Average Loss  0.596616, Time  0.244014
2021-09-11 02:50:30.510828 : Epoch  3, Batch    603, Loss  0.592047, Average Loss  0.596595, Time  0.240904
2021-09-11 02:50:32.080992 : Epoch  3, Batch    604, Loss  0.597736, Average Loss  0.596578, Time  0.238122
2021-09-11 02:50:33.671884 : Epoch  3, Batch    605, Loss  0.602127, Average Loss  0.596543, Time  0.238774
2021-09-11 02:50:35.302576 : Epoch  3, Batch    606, Loss  0.602035, Average Loss  0.596619, Time  0.245526
2021-09-11 02:50:36.932999 : Epoch  3, Batch    607, Loss  0.585213, Average Loss  0.596557, Time  0.236057
2021-09-11 02:50:38.483405 : Epoch  3, Batch    608, Loss  0.592567, Average Loss  0.596598, Time  0.232810
2021-09-11 02:50:40.075089 : Epoch  3, Batch    609, Loss  0.593552, Average Loss  0.596582, Time  0.238578
2021-09-11 02:50:41.672389 : Epoch  3, Batch    610, Loss  0.591091, Average Loss  0.596579, Time  0.263902
2021-09-11 02:50:43.530055 : Epoch  3, Batch    611, Loss  0.601129, Average Loss  0.596588, Time  0.307143
2021-09-11 02:50:45.114600 : Epoch  3, Batch    612, Loss  0.593572, Average Loss  0.596540, Time  0.245394
2021-09-11 02:50:46.716700 : Epoch  3, Batch    613, Loss  0.603409, Average Loss  0.596552, Time  0.237008
2021-09-11 02:50:48.317134 : Epoch  3, Batch    614, Loss  0.582831, Average Loss  0.596454, Time  0.237511
2021-09-11 02:50:49.923981 : Epoch  3, Batch    615, Loss  0.594440, Average Loss  0.596456, Time  0.242728
2021-09-11 02:50:50.731735 : CheckPoint: Validation Loss  0.00030056, Best Loss  0.00029681
2021-09-11 02:50:51.513194 : Epoch  3, Batch    616, Loss  0.597704, Average Loss  0.596496, Time  0.246960
2021-09-11 02:50:53.111932 : Epoch  3, Batch    617, Loss  0.592032, Average Loss  0.596460, Time  0.241392
2021-09-11 02:50:53.465040 : Epoch  1, Batch    901, Loss  0.874827, Average Loss  0.878135, Time  0.251612
2021-09-11 02:50:54.672352 : Epoch  3, Batch    618, Loss  0.593622, Average Loss  0.596363, Time  0.242817
2021-09-11 02:50:56.371957 : Epoch  1, Batch    902, Loss  0.892106, Average Loss  0.878220, Time  0.404360
2021-09-11 02:50:56.461080 : Epoch  3, Batch    619, Loss  0.591599, Average Loss  0.596397, Time  0.381460
2021-09-11 02:50:58.103623 : Epoch  3, Batch    620, Loss  0.602825, Average Loss  0.596414, Time  0.236493
2021-09-11 02:50:59.037058 : Epoch  1, Batch    903, Loss  0.883740, Average Loss  0.878242, Time  0.244164
2021-09-11 02:50:59.680951 : Epoch  3, Batch    621, Loss  0.600825, Average Loss  0.596480, Time  0.243754
2021-09-11 02:51:01.323285 : Epoch  3, Batch    622, Loss  0.601580, Average Loss  0.596485, Time  0.297194
2021-09-11 02:51:01.702815 : Epoch  1, Batch    904, Loss  0.871515, Average Loss  0.878156, Time  0.242330
2021-09-11 02:51:02.911155 : Epoch  3, Batch    623, Loss  0.591976, Average Loss  0.596386, Time  0.244204
2021-09-11 02:51:04.568373 : Epoch  1, Batch    905, Loss  0.875177, Average Loss  0.878192, Time  0.421369
2021-09-11 02:51:04.608413 : Epoch  3, Batch    624, Loss  0.579712, Average Loss  0.596296, Time  0.359753
2021-09-11 02:51:06.217141 : Epoch  3, Batch    625, Loss  0.594099, Average Loss  0.596226, Time  0.242157
2021-09-11 02:51:07.286886 : Epoch  1, Batch    906, Loss  0.882702, Average Loss  0.878231, Time  0.237735
2021-09-11 02:51:07.843716 : Epoch  3, Batch    626, Loss  0.578499, Average Loss  0.596085, Time  0.246891
2021-09-11 02:51:10.007850 : Epoch  1, Batch    907, Loss  0.893259, Average Loss  0.878174, Time  0.241675
2021-09-11 02:51:12.731889 : Epoch  1, Batch    908, Loss  0.881508, Average Loss  0.878094, Time  0.239248
2021-09-11 02:51:15.415414 : Epoch  1, Batch    909, Loss  0.881421, Average Loss  0.878017, Time  0.238490
2021-09-11 02:51:18.163030 : Epoch  1, Batch    910, Loss  0.854774, Average Loss  0.877854, Time  0.237781
2021-09-11 02:51:20.892025 : Epoch  1, Batch    911, Loss  0.877826, Average Loss  0.877865, Time  0.241161
2021-09-11 02:51:23.573121 : Epoch  1, Batch    912, Loss  0.870401, Average Loss  0.877774, Time  0.240355
2021-09-11 02:51:26.263399 : Epoch  1, Batch    913, Loss  0.874251, Average Loss  0.877756, Time  0.238543
2021-09-11 02:51:28.947871 : Epoch  1, Batch    914, Loss  0.878590, Average Loss  0.877730, Time  0.241467
2021-09-11 02:51:31.595362 : Epoch  1, Batch    915, Loss  0.868427, Average Loss  0.877690, Time  0.240869
2021-09-11 02:51:34.306473 : Epoch  1, Batch    916, Loss  0.858545, Average Loss  0.877591, Time  0.238351
2021-09-11 02:51:36.968945 : Epoch  1, Batch    917, Loss  0.881146, Average Loss  0.877720, Time  0.238206
2021-09-11 02:51:39.632860 : Epoch  1, Batch    918, Loss  0.883696, Average Loss  0.877760, Time  0.246920
2021-09-11 02:51:42.331881 : Epoch  1, Batch    919, Loss  0.885525, Average Loss  0.877838, Time  0.275924
2021-09-11 02:51:45.108454 : Epoch  1, Batch    920, Loss  0.878339, Average Loss  0.877884, Time  0.293409
2021-09-11 02:51:47.886909 : Epoch  1, Batch    921, Loss  0.882705, Average Loss  0.877859, Time  0.299936
2021-09-11 02:51:50.542057 : Epoch  1, Batch    922, Loss  0.900520, Average Loss  0.877938, Time  0.243611
2021-09-11 02:51:53.244200 : Epoch  1, Batch    923, Loss  0.886552, Average Loss  0.878031, Time  0.239776
2021-09-11 02:51:55.917843 : Epoch  1, Batch    924, Loss  0.869541, Average Loss  0.878008, Time  0.238749
2021-09-11 02:51:58.597000 : Epoch  1, Batch    925, Loss  0.873587, Average Loss  0.878021, Time  0.250988
2021-09-11 02:52:01.389184 : Epoch  1, Batch    926, Loss  0.868585, Average Loss  0.878088, Time  0.238018
2021-09-11 02:52:04.121827 : Epoch  1, Batch    927, Loss  0.872911, Average Loss  0.878026, Time  0.243034
2021-09-11 02:52:06.887861 : Epoch  1, Batch    928, Loss  0.874628, Average Loss  0.877995, Time  0.237904
2021-09-11 02:52:07.968853 : CheckPoint: Validation Loss  0.00024077, Best Loss  0.00024077
2021-09-11 02:52:08.018648 : Best Model Updated
2021-09-11 02:52:09.600381 : Epoch  1, Batch    929, Loss  0.880451, Average Loss  0.878036, Time  0.241251
2021-09-11 02:52:10.767100 : Epoch  3, Batch    627, Loss  0.603570, Average Loss  0.596068, Time  0.247371
2021-09-11 02:52:12.557872 : Epoch  1, Batch    930, Loss  0.865530, Average Loss  0.878036, Time  0.456405
2021-09-11 02:52:12.599089 : Epoch  3, Batch    628, Loss  0.591263, Average Loss  0.595974, Time  0.470706
2021-09-11 02:52:14.211081 : Epoch  3, Batch    629, Loss  0.591353, Average Loss  0.595931, Time  0.246250
2021-09-11 02:52:15.368046 : Epoch  1, Batch    931, Loss  0.884580, Average Loss  0.878080, Time  0.258261
2021-09-11 02:52:15.825625 : Epoch  3, Batch    630, Loss  0.585762, Average Loss  0.595872, Time  0.254957
2021-09-11 02:52:17.481319 : Epoch  3, Batch    631, Loss  0.588671, Average Loss  0.595827, Time  0.256088
2021-09-11 02:52:18.154022 : Epoch  1, Batch    932, Loss  0.864747, Average Loss  0.878042, Time  0.251612
2021-09-11 02:52:19.100455 : Epoch  3, Batch    632, Loss  0.577189, Average Loss  0.595736, Time  0.262381
2021-09-11 02:52:20.802978 : Epoch  3, Batch    633, Loss  0.586629, Average Loss  0.595680, Time  0.371686
2021-09-11 02:52:20.874927 : Epoch  1, Batch    933, Loss  0.860390, Average Loss  0.877855, Time  0.314079
2021-09-11 02:52:22.360614 : Epoch  3, Batch    634, Loss  0.592323, Average Loss  0.595614, Time  0.238580
2021-09-11 02:52:23.543187 : Epoch  1, Batch    934, Loss  0.869866, Average Loss  0.877815, Time  0.244003
2021-09-11 02:52:24.126445 : Epoch  3, Batch    635, Loss  0.582361, Average Loss  0.595512, Time  0.272340
2021-09-11 02:52:25.853675 : Epoch  3, Batch    636, Loss  0.600790, Average Loss  0.595526, Time  0.257668
2021-09-11 02:52:26.392854 : Epoch  1, Batch    935, Loss  0.896520, Average Loss  0.877936, Time  0.240863
2021-09-11 02:52:27.572412 : Epoch  3, Batch    637, Loss  0.582735, Average Loss  0.595388, Time  0.241369
2021-09-11 02:52:29.173893 : Epoch  1, Batch    936, Loss  0.879175, Average Loss  0.877917, Time  0.336454
2021-09-11 02:52:29.312149 : Epoch  3, Batch    638, Loss  0.594192, Average Loss  0.595381, Time  0.298349
2021-09-11 02:52:30.875286 : Epoch  3, Batch    639, Loss  0.590722, Average Loss  0.595363, Time  0.245158
2021-09-11 02:52:31.927845 : Epoch  1, Batch    937, Loss  0.879989, Average Loss  0.877794, Time  0.242692
2021-09-11 02:52:32.484326 : Epoch  3, Batch    640, Loss  0.583380, Average Loss  0.595245, Time  0.245105
2021-09-11 02:52:34.089255 : Epoch  3, Batch    641, Loss  0.595993, Average Loss  0.595238, Time  0.240956
2021-09-11 02:52:34.846429 : Epoch  1, Batch    938, Loss  0.874094, Average Loss  0.877859, Time  0.252961
2021-09-11 02:52:35.769862 : Epoch  3, Batch    642, Loss  0.593149, Average Loss  0.595214, Time  0.238679
2021-09-11 02:52:37.639447 : Epoch  1, Batch    939, Loss  0.877578, Average Loss  0.877898, Time  0.382980
2021-09-11 02:52:37.682638 : Epoch  3, Batch    643, Loss  0.585655, Average Loss  0.595148, Time  0.452376
2021-09-11 02:52:38.524729 : CheckPoint: Validation Loss  0.00060236, Best Loss  0.00057296
2021-09-11 02:52:39.295113 : Epoch  3, Batch    644, Loss  0.596105, Average Loss  0.595177, Time  0.242941
2021-09-11 02:52:40.153934 : Epoch  3, Batch   1279, Loss  0.852843, Average Loss  0.868240, Time  0.177647
2021-09-11 02:52:40.403609 : Epoch  1, Batch    940, Loss  0.873910, Average Loss  0.877860, Time  0.269971
2021-09-11 02:52:40.888089 : Epoch  3, Batch    645, Loss  0.584033, Average Loss  0.595141, Time  0.241971
2021-09-11 02:52:41.775976 : Epoch  3, Batch   1280, Loss  0.867596, Average Loss  0.868310, Time  0.170599
2021-09-11 02:52:42.462886 : Epoch  3, Batch    646, Loss  0.581468, Average Loss  0.595037, Time  0.240507
2021-09-11 02:52:43.124176 : Epoch  1, Batch    941, Loss  0.863076, Average Loss  0.877839, Time  0.240896
2021-09-11 02:52:43.411973 : Epoch  3, Batch   1281, Loss  0.864517, Average Loss  0.868271, Time  0.169836
2021-09-11 02:52:44.036999 : Epoch  3, Batch    647, Loss  0.599854, Average Loss  0.595006, Time  0.246581
2021-09-11 02:52:45.055995 : Epoch  3, Batch   1282, Loss  0.867732, Average Loss  0.868313, Time  0.170016
2021-09-11 02:52:45.789712 : Epoch  3, Batch    648, Loss  0.586947, Average Loss  0.594969, Time  0.362680
2021-09-11 02:52:45.887855 : Epoch  1, Batch    942, Loss  0.878981, Average Loss  0.877750, Time  0.310225
2021-09-11 02:52:46.695739 : Epoch  3, Batch   1283, Loss  0.863752, Average Loss  0.868176, Time  0.169984
2021-09-11 02:52:47.403035 : Epoch  3, Batch    649, Loss  0.580436, Average Loss  0.594910, Time  0.247388
2021-09-11 02:52:48.321875 : Epoch  3, Batch   1284, Loss  0.865921, Average Loss  0.868093, Time  0.169729
2021-09-11 02:52:48.654824 : Epoch  1, Batch    943, Loss  0.877192, Average Loss  0.877778, Time  0.238206
2021-09-11 02:52:48.975145 : Epoch  3, Batch    650, Loss  0.598204, Average Loss  0.594887, Time  0.245583
2021-09-11 02:52:49.944818 : Epoch  3, Batch   1285, Loss  0.831441, Average Loss  0.867894, Time  0.170403
2021-09-11 02:52:50.710344 : Epoch  3, Batch    651, Loss  0.594730, Average Loss  0.594826, Time  0.244452
2021-09-11 02:52:51.283091 : Epoch  1, Batch    944, Loss  0.879442, Average Loss  0.877731, Time  0.238110
2021-09-11 02:52:51.586778 : Epoch  3, Batch   1286, Loss  0.871751, Average Loss  0.867991, Time  0.170119
2021-09-11 02:52:52.354361 : Epoch  3, Batch    652, Loss  0.599840, Average Loss  0.594803, Time  0.331391
2021-09-11 02:52:53.202801 : Epoch  3, Batch   1287, Loss  0.872526, Average Loss  0.867806, Time  0.169565
2021-09-11 02:52:54.167036 : Epoch  1, Batch    945, Loss  0.868008, Average Loss  0.877632, Time  0.409204
2021-09-11 02:52:54.210939 : Epoch  3, Batch    653, Loss  0.603606, Average Loss  0.594860, Time  0.459516
2021-09-11 02:52:54.817998 : Epoch  3, Batch   1288, Loss  0.878026, Average Loss  0.867793, Time  0.169614
2021-09-11 02:52:55.792674 : Epoch  3, Batch    654, Loss  0.583920, Average Loss  0.594834, Time  0.236205
2021-09-11 02:52:56.452778 : Epoch  3, Batch   1289, Loss  0.857371, Average Loss  0.867636, Time  0.169691
2021-09-11 02:52:56.832837 : Epoch  1, Batch    946, Loss  0.868676, Average Loss  0.877539, Time  0.238122
2021-09-11 02:52:57.381893 : Epoch  3, Batch    655, Loss  0.584409, Average Loss  0.594795, Time  0.237577
2021-09-11 02:52:58.072982 : Epoch  3, Batch   1290, Loss  0.841546, Average Loss  0.867527, Time  0.170120
2021-09-11 02:52:58.935076 : Epoch  3, Batch    656, Loss  0.584904, Average Loss  0.594689, Time  0.239839
2021-09-11 02:52:59.608824 : Epoch  1, Batch    947, Loss  0.870481, Average Loss  0.877388, Time  0.238137
2021-09-11 02:52:59.705945 : Epoch  3, Batch   1291, Loss  0.856743, Average Loss  0.867447, Time  0.169865
2021-09-11 02:53:00.529143 : Epoch  3, Batch    657, Loss  0.581615, Average Loss  0.594627, Time  0.255183
2021-09-11 02:53:01.339998 : Epoch  3, Batch   1292, Loss  0.888749, Average Loss  0.867613, Time  0.170116
2021-09-11 02:53:02.153158 : Epoch  3, Batch    658, Loss  0.582116, Average Loss  0.594608, Time  0.242296
2021-09-11 02:53:02.350864 : Epoch  1, Batch    948, Loss  0.899886, Average Loss  0.877489, Time  0.249077
2021-09-11 02:53:02.973995 : Epoch  3, Batch   1293, Loss  0.906150, Average Loss  0.867826, Time  0.169901
2021-09-11 02:53:03.962122 : Epoch  3, Batch    659, Loss  0.582619, Average Loss  0.594523, Time  0.262834
2021-09-11 02:53:04.603992 : Epoch  3, Batch   1294, Loss  0.877219, Average Loss  0.867822, Time  0.169691
2021-09-11 02:53:05.065778 : Epoch  1, Batch    949, Loss  0.894023, Average Loss  0.877459, Time  0.241743
2021-09-11 02:53:05.694826 : Epoch  3, Batch    660, Loss  0.584712, Average Loss  0.594481, Time  0.262140
2021-09-11 02:53:06.243017 : Epoch  3, Batch   1295, Loss  0.858572, Average Loss  0.867790, Time  0.169663
2021-09-11 02:53:07.411630 : Epoch  3, Batch    661, Loss  0.580616, Average Loss  0.594344, Time  0.255407
2021-09-11 02:53:07.874753 : Epoch  3, Batch   1296, Loss  0.836634, Average Loss  0.867420, Time  0.170296
2021-09-11 02:53:09.023643 : Epoch  3, Batch    662, Loss  0.591469, Average Loss  0.594323, Time  0.246576
2021-09-11 02:53:09.535001 : Epoch  3, Batch   1297, Loss  0.889429, Average Loss  0.867560, Time  0.170017
2021-09-11 02:53:10.601180 : Epoch  3, Batch    663, Loss  0.594949, Average Loss  0.594345, Time  0.241993
2021-09-11 02:53:11.036857 : Epoch  1, Batch    951, Loss  0.896791, Average Loss  0.877584, Time  0.237424
2021-09-11 02:53:11.162748 : Epoch  3, Batch   1298, Loss  0.889340, Average Loss  0.867657, Time  0.169791
2021-09-11 02:53:12.174630 : Epoch  3, Batch    664, Loss  0.592466, Average Loss  0.594332, Time  0.241326
2021-09-11 02:53:12.767995 : Epoch  3, Batch   1299, Loss  0.863262, Average Loss  0.867479, Time  0.169516
2021-09-11 02:53:13.988393 : Epoch  1, Batch    952, Loss  0.856592, Average Loss  0.877543, Time  0.449417
2021-09-11 02:53:14.026048 : Epoch  3, Batch    665, Loss  0.586639, Average Loss  0.594272, Time  0.436210
2021-09-11 02:53:14.419830 : Epoch  3, Batch   1300, Loss  0.875394, Average Loss  0.867524, Time  0.169604
2021-09-11 02:53:15.581899 : Epoch  3, Batch    666, Loss  0.597590, Average Loss  0.594272, Time  0.237421
2021-09-11 02:53:16.046009 : Epoch  3, Batch   1301, Loss  0.869824, Average Loss  0.867644, Time  0.169867
2021-09-11 02:53:16.677078 : Epoch  1, Batch    953, Loss  0.869441, Average Loss  0.877536, Time  0.240583
2021-09-11 02:53:17.242136 : Epoch  3, Batch    667, Loss  0.585476, Average Loss  0.594211, Time  0.250892
2021-09-11 02:53:17.678990 : Epoch  3, Batch   1302, Loss  0.896026, Average Loss  0.867734, Time  0.171935
2021-09-11 02:53:18.909458 : Epoch  3, Batch    668, Loss  0.583403, Average Loss  0.594113, Time  0.250878
2021-09-11 02:53:19.306855 : Epoch  3, Batch   1303, Loss  0.830208, Average Loss  0.867527, Time  0.170077
2021-09-11 02:53:19.369146 : Epoch  1, Batch    954, Loss  0.860770, Average Loss  0.877428, Time  0.240963
2021-09-11 02:53:20.534439 : Epoch  3, Batch    669, Loss  0.600335, Average Loss  0.594153, Time  0.239439
2021-09-11 02:53:20.954983 : Epoch  3, Batch   1304, Loss  0.847946, Average Loss  0.867366, Time  0.169788
2021-09-11 02:53:22.181988 : Epoch  1, Batch    955, Loss  0.872995, Average Loss  0.877423, Time  0.345650
2021-09-11 02:53:22.334089 : Epoch  3, Batch    670, Loss  0.601369, Average Loss  0.594195, Time  0.330826
2021-09-11 02:53:22.573021 : Epoch  3, Batch   1305, Loss  0.867515, Average Loss  0.867336, Time  0.175046
2021-09-11 02:53:23.919119 : Epoch  3, Batch    671, Loss  0.585492, Average Loss  0.594099, Time  0.237528
2021-09-11 02:53:24.195040 : Epoch  3, Batch   1306, Loss  0.867166, Average Loss  0.867482, Time  0.170108
2021-09-11 02:53:24.851827 : Epoch  1, Batch    956, Loss  0.849858, Average Loss  0.877208, Time  0.240491
2021-09-11 02:53:25.601731 : Epoch  3, Batch    672, Loss  0.589541, Average Loss  0.594062, Time  0.238096
2021-09-11 02:53:25.814869 : Epoch  3, Batch   1307, Loss  0.871836, Average Loss  0.867629, Time  0.170267
2021-09-11 02:53:27.230950 : Epoch  3, Batch    673, Loss  0.582183, Average Loss  0.594000, Time  0.241758
2021-09-11 02:53:27.439026 : Epoch  3, Batch   1308, Loss  0.851029, Average Loss  0.867563, Time  0.172951
2021-09-11 02:53:27.491976 : Epoch  1, Batch    957, Loss  0.877266, Average Loss  0.877303, Time  0.240039
2021-09-11 02:53:28.802078 : Epoch  3, Batch    674, Loss  0.591664, Average Loss  0.593944, Time  0.237525
2021-09-11 02:53:29.039017 : Epoch  3, Batch   1309, Loss  0.878738, Average Loss  0.867687, Time  0.169792
2021-09-11 02:53:30.332834 : Epoch  1, Batch    958, Loss  0.866877, Average Loss  0.877365, Time  0.326097
2021-09-11 02:53:30.470933 : Epoch  3, Batch    675, Loss  0.581167, Average Loss  0.593802, Time  0.271276
2021-09-11 02:53:30.650032 : Epoch  3, Batch   1310, Loss  0.880743, Average Loss  0.867801, Time  0.170153
2021-09-11 02:53:32.177079 : Epoch  3, Batch    676, Loss  0.601618, Average Loss  0.593756, Time  0.234693
2021-09-11 02:53:32.272879 : Epoch  3, Batch   1311, Loss  0.874891, Average Loss  0.867800, Time  0.170631
2021-09-11 02:53:33.024832 : Epoch  1, Batch    959, Loss  0.876204, Average Loss  0.877219, Time  0.241210
2021-09-11 02:53:33.759270 : Epoch  3, Batch    677, Loss  0.596418, Average Loss  0.593719, Time  0.235760
2021-09-11 02:53:33.877779 : Epoch  3, Batch   1312, Loss  0.874643, Average Loss  0.867849, Time  0.169918
2021-09-11 02:53:35.449355 : Epoch  3, Batch    678, Loss  0.577729, Average Loss  0.593641, Time  0.265083
2021-09-11 02:53:35.507998 : Epoch  3, Batch   1313, Loss  0.869267, Average Loss  0.867883, Time  0.169957
2021-09-11 02:53:35.820851 : Epoch  1, Batch    960, Loss  0.875778, Average Loss  0.877171, Time  0.238184
2021-09-11 02:53:37.129768 : Epoch  3, Batch   1314, Loss  0.851836, Average Loss  0.867739, Time  0.169448
2021-09-11 02:53:37.137327 : Epoch  3, Batch    679, Loss  0.596206, Average Loss  0.593588, Time  0.236886
2021-09-11 02:53:38.729838 : Epoch  1, Batch    961, Loss  0.890519, Average Loss  0.877196, Time  0.367682
2021-09-11 02:53:38.817990 : Epoch  3, Batch   1315, Loss  0.838971, Average Loss  0.867640, Time  0.172357
2021-09-11 02:53:40.436183 : Epoch  3, Batch    681, Loss  0.592034, Average Loss  0.593473, Time  0.241470
2021-09-11 02:53:40.478995 : Epoch  3, Batch   1316, Loss  0.833256, Average Loss  0.867404, Time  0.169780
2021-09-11 02:53:41.441153 : Epoch  1, Batch    962, Loss  0.892926, Average Loss  0.877374, Time  0.255802
2021-09-11 02:53:42.065168 : Epoch  3, Batch    682, Loss  0.592572, Average Loss  0.593481, Time  0.265270
2021-09-11 02:53:42.099765 : Epoch  3, Batch   1317, Loss  0.866609, Average Loss  0.867600, Time  0.169549
2021-09-11 02:53:43.731738 : Epoch  3, Batch   1318, Loss  0.888475, Average Loss  0.867591, Time  0.169824
2021-09-11 02:53:44.042112 : Epoch  3, Batch    683, Loss  0.592285, Average Loss  0.593359, Time  0.353920
2021-09-11 02:53:44.148847 : Epoch  1, Batch    963, Loss  0.869203, Average Loss  0.877377, Time  0.277910
2021-09-11 02:53:45.352000 : Epoch  3, Batch   1319, Loss  0.854235, Average Loss  0.867592, Time  0.169734
2021-09-11 02:53:45.763382 : Epoch  3, Batch    684, Loss  0.578515, Average Loss  0.593267, Time  0.255975
2021-09-11 02:53:46.865981 : Epoch  1, Batch    964, Loss  0.898849, Average Loss  0.877513, Time  0.241880
2021-09-11 02:53:46.991835 : Epoch  3, Batch   1320, Loss  0.858119, Average Loss  0.867569, Time  0.169906
2021-09-11 02:53:47.514055 : Epoch  3, Batch    685, Loss  0.586282, Average Loss  0.593207, Time  0.278298
2021-09-11 02:53:48.638002 : Epoch  3, Batch   1321, Loss  0.857334, Average Loss  0.867347, Time  0.170181
2021-09-11 02:53:49.148536 : Epoch  3, Batch    686, Loss  0.594354, Average Loss  0.593266, Time  0.282614
2021-09-11 02:53:49.625779 : Epoch  1, Batch    965, Loss  0.846562, Average Loss  0.877346, Time  0.240973
2021-09-11 02:53:50.275737 : Epoch  3, Batch   1322, Loss  0.882324, Average Loss  0.867474, Time  0.169843
2021-09-11 02:53:50.743409 : Epoch  3, Batch    687, Loss  0.571681, Average Loss  0.593101, Time  0.245994
2021-09-11 02:53:51.910933 : Epoch  3, Batch   1323, Loss  0.890315, Average Loss  0.867481, Time  0.169923
2021-09-11 02:53:52.562196 : Epoch  3, Batch    688, Loss  0.603482, Average Loss  0.593206, Time  0.434814
2021-09-11 02:53:52.608481 : Epoch  1, Batch    966, Loss  0.872938, Average Loss  0.877273, Time  0.369013
2021-09-11 02:53:53.528791 : Epoch  3, Batch   1324, Loss  0.866827, Average Loss  0.867462, Time  0.169806
2021-09-11 02:53:54.154560 : Epoch  3, Batch    689, Loss  0.590525, Average Loss  0.593178, Time  0.251283
2021-09-11 02:53:55.172038 : Epoch  3, Batch   1325, Loss  0.856480, Average Loss  0.867411, Time  0.170246
2021-09-11 02:53:55.424445 : Epoch  1, Batch    967, Loss  0.883839, Average Loss  0.877363, Time  0.237884
2021-09-11 02:53:55.806157 : Epoch  3, Batch    690, Loss  0.583618, Average Loss  0.593149, Time  0.254946
2021-09-11 02:53:56.798008 : Epoch  3, Batch   1326, Loss  0.896854, Average Loss  0.867695, Time  0.169864
2021-09-11 02:53:57.423952 : Epoch  3, Batch    691, Loss  0.601651, Average Loss  0.593145, Time  0.237149
2021-09-11 02:53:58.147837 : Epoch  1, Batch    968, Loss  0.870726, Average Loss  0.877353, Time  0.243559
2021-09-11 02:53:58.423777 : Epoch  3, Batch   1327, Loss  0.866961, Average Loss  0.867686, Time  0.169590
2021-09-11 02:53:59.051658 : Epoch  3, Batch    692, Loss  0.600327, Average Loss  0.593143, Time  0.237698
2021-09-11 02:54:00.048849 : Epoch  3, Batch   1328, Loss  0.862214, Average Loss  0.867605, Time  0.169926
2021-09-11 02:54:00.952001 : Epoch  3, Batch    693, Loss  0.588084, Average Loss  0.593088, Time  0.452804
2021-09-11 02:54:00.994918 : Epoch  1, Batch    969, Loss  0.878771, Average Loss  0.877280, Time  0.372805
2021-09-11 02:54:01.679985 : Epoch  3, Batch   1329, Loss  0.867152, Average Loss  0.867594, Time  0.169883
2021-09-11 02:54:02.590307 : Epoch  3, Batch    694, Loss  0.576650, Average Loss  0.593001, Time  0.286551
2021-09-11 02:54:03.295753 : Epoch  3, Batch   1330, Loss  0.858108, Average Loss  0.867537, Time  0.169499
2021-09-11 02:54:03.674951 : Epoch  1, Batch    970, Loss  0.860624, Average Loss  0.877169, Time  0.238380
2021-09-11 02:54:04.226118 : Epoch  3, Batch    695, Loss  0.583314, Average Loss  0.592927, Time  0.240185
2021-09-11 02:54:04.919004 : Epoch  3, Batch   1331, Loss  0.882893, Average Loss  0.867574, Time  0.169795
2021-09-11 02:54:05.820673 : Epoch  3, Batch    696, Loss  0.586999, Average Loss  0.592841, Time  0.237356
2021-09-11 02:54:06.351856 : Epoch  1, Batch    971, Loss  0.858362, Average Loss  0.877015, Time  0.241198
2021-09-11 02:54:06.520029 : Epoch  3, Batch   1332, Loss  0.875836, Average Loss  0.867681, Time  0.173056
2021-09-11 02:54:08.124993 : Epoch  3, Batch   1333, Loss  0.850370, Average Loss  0.867565, Time  0.169759
2021-09-11 02:54:09.007921 : Epoch  1, Batch    972, Loss  0.875275, Average Loss  0.877029, Time  0.242261
2021-09-11 02:54:09.745986 : Epoch  3, Batch   1334, Loss  0.850751, Average Loss  0.867529, Time  0.169634
2021-09-11 02:54:10.188535 : Epoch  3, Batch    697, Loss  0.595454, Average Loss  0.592865, Time  0.237714
2021-09-11 02:54:11.365988 : Epoch  3, Batch   1335, Loss  0.857493, Average Loss  0.867429, Time  0.171572
2021-09-11 02:54:11.977886 : Epoch  3, Batch    698, Loss  0.577059, Average Loss  0.592764, Time  0.451571
2021-09-11 02:54:12.027078 : Epoch  1, Batch    973, Loss  0.852921, Average Loss  0.877013, Time  0.395210
2021-09-11 02:54:12.994756 : Epoch  3, Batch   1336, Loss  0.874859, Average Loss  0.867566, Time  0.169698
2021-09-11 02:54:13.682336 : Epoch  3, Batch    699, Loss  0.583020, Average Loss  0.592677, Time  0.250268
2021-09-11 02:54:14.641804 : Epoch  3, Batch   1337, Loss  0.859921, Average Loss  0.867386, Time  0.171951
2021-09-11 02:54:14.730916 : Epoch  1, Batch    974, Loss  0.851374, Average Loss  0.876869, Time  0.242460
2021-09-11 02:54:15.294537 : Epoch  3, Batch    700, Loss  0.578576, Average Loss  0.592580, Time  0.240577
2021-09-11 02:54:16.277003 : Epoch  3, Batch   1338, Loss  0.899518, Average Loss  0.867529, Time  0.169920
2021-09-11 02:54:16.884699 : Epoch  3, Batch    701, Loss  0.599655, Average Loss  0.592582, Time  0.238761
2021-09-11 02:54:17.572045 : Epoch  1, Batch    975, Loss  0.876487, Average Loss  0.876843, Time  0.241487
2021-09-11 02:54:17.904921 : Epoch  3, Batch   1339, Loss  0.869298, Average Loss  0.867563, Time  0.170254
2021-09-11 02:54:18.498225 : Epoch  3, Batch    702, Loss  0.593315, Average Loss  0.592539, Time  0.243843
2021-09-11 02:54:19.535990 : Epoch  3, Batch   1340, Loss  0.854024, Average Loss  0.867485, Time  0.170198
2021-09-11 02:54:20.087716 : Epoch  3, Batch    703, Loss  0.594352, Average Loss  0.592542, Time  0.236113
2021-09-11 02:54:20.337404 : Epoch  1, Batch    976, Loss  0.896647, Average Loss  0.876863, Time  0.245954
2021-09-11 02:54:21.162983 : Epoch  3, Batch   1341, Loss  0.858902, Average Loss  0.867567, Time  0.169559
2021-09-11 02:54:21.776000 : Epoch  3, Batch    704, Loss  0.582032, Average Loss  0.592548, Time  0.242907
2021-09-11 02:54:22.748767 : Epoch  3, Batch   1342, Loss  0.873378, Average Loss  0.867775, Time  0.170156
2021-09-11 02:54:23.010414 : Epoch  1, Batch    977, Loss  0.884951, Average Loss  0.876893, Time  0.242311
2021-09-11 02:54:23.428027 : Epoch  3, Batch    705, Loss  0.572806, Average Loss  0.592425, Time  0.238440
2021-09-11 02:54:24.357030 : Epoch  3, Batch   1343, Loss  0.868483, Average Loss  0.867817, Time  0.170114
2021-09-11 02:54:25.019276 : Epoch  3, Batch    706, Loss  0.607570, Average Loss  0.592440, Time  0.242326
2021-09-11 02:54:25.716001 : Epoch  1, Batch    978, Loss  0.866832, Average Loss  0.876829, Time  0.243574
2021-09-11 02:54:25.970028 : Epoch  3, Batch   1344, Loss  0.856778, Average Loss  0.867735, Time  0.174575
2021-09-11 02:54:26.608072 : Epoch  3, Batch    707, Loss  0.591008, Average Loss  0.592402, Time  0.257941
2021-09-11 02:54:27.574811 : Epoch  3, Batch   1345, Loss  0.853646, Average Loss  0.867571, Time  0.174183
2021-09-11 02:54:28.301361 : Epoch  3, Batch    708, Loss  0.583743, Average Loss  0.592318, Time  0.310822
2021-09-11 02:54:28.446973 : Epoch  1, Batch    979, Loss  0.869222, Average Loss  0.876713, Time  0.254059
2021-09-11 02:54:29.207799 : Epoch  3, Batch   1346, Loss  0.857600, Average Loss  0.867379, Time  0.173936
2021-09-11 02:54:30.099620 : Epoch  3, Batch    709, Loss  0.604220, Average Loss  0.592291, Time  0.245159
2021-09-11 02:54:30.839015 : Epoch  3, Batch   1347, Loss  0.888508, Average Loss  0.867689, Time  0.176632
2021-09-11 02:54:31.125836 : Epoch  1, Batch    980, Loss  0.889491, Average Loss  0.876723, Time  0.242222
2021-09-11 02:54:31.718428 : Epoch  3, Batch    710, Loss  0.593369, Average Loss  0.592265, Time  0.244350
2021-09-11 02:54:32.537016 : Epoch  3, Batch   1348, Loss  0.850898, Average Loss  0.867560, Time  0.174686
2021-09-11 02:54:33.388978 : Epoch  3, Batch    711, Loss  0.589564, Average Loss  0.592249, Time  0.243544
2021-09-11 02:54:33.788216 : Epoch  1, Batch    981, Loss  0.878787, Average Loss  0.876597, Time  0.246291
2021-09-11 02:54:34.163030 : Epoch  3, Batch   1349, Loss  0.845999, Average Loss  0.867457, Time  0.174291
2021-09-11 02:54:34.972705 : Epoch  3, Batch    712, Loss  0.591602, Average Loss  0.592250, Time  0.240646
2021-09-11 02:54:35.775023 : Epoch  3, Batch   1350, Loss  0.877750, Average Loss  0.867528, Time  0.170258
2021-09-11 02:54:36.686055 : Epoch  1, Batch    982, Loss  0.881973, Average Loss  0.876635, Time  0.441263
2021-09-11 02:54:36.730056 : Epoch  3, Batch    713, Loss  0.590817, Average Loss  0.592211, Time  0.379255
2021-09-11 02:54:37.426000 : Epoch  3, Batch   1351, Loss  0.861950, Average Loss  0.867453, Time  0.170001
2021-09-11 02:54:38.266567 : Epoch  3, Batch    714, Loss  0.590170, Average Loss  0.592266, Time  0.239850
2021-09-11 02:54:39.082840 : Epoch  3, Batch   1352, Loss  0.850555, Average Loss  0.867481, Time  0.172256
2021-09-11 02:54:39.434844 : Epoch  1, Batch    983, Loss  0.876392, Average Loss  0.876637, Time  0.248629
2021-09-11 02:54:39.888970 : Epoch  3, Batch    715, Loss  0.585310, Average Loss  0.592183, Time  0.242324
2021-09-11 02:54:40.689998 : Epoch  3, Batch   1353, Loss  0.853109, Average Loss  0.867454, Time  0.169493
2021-09-11 02:54:41.476026 : Epoch  3, Batch    716, Loss  0.591140, Average Loss  0.592154, Time  0.248703
2021-09-11 02:54:42.331727 : Epoch  3, Batch   1354, Loss  0.852673, Average Loss  0.867263, Time  0.172058
2021-09-11 02:54:42.348109 : Epoch  1, Batch    984, Loss  0.877642, Average Loss  0.876493, Time  0.254209
2021-09-11 02:54:43.026883 : Epoch  3, Batch    717, Loss  0.587725, Average Loss  0.592115, Time  0.238912
2021-09-11 02:54:43.957766 : Epoch  3, Batch   1355, Loss  0.890582, Average Loss  0.867586, Time  0.172173
2021-09-11 02:54:44.609905 : Epoch  3, Batch    718, Loss  0.582324, Average Loss  0.592054, Time  0.236336
2021-09-11 02:54:45.014886 : Epoch  1, Batch    985, Loss  0.881459, Average Loss  0.876462, Time  0.251112
2021-09-11 02:54:45.575791 : Epoch  3, Batch   1356, Loss  0.856607, Average Loss  0.867713, Time  0.170256
2021-09-11 02:54:46.160818 : Epoch  3, Batch    719, Loss  0.582240, Average Loss  0.591994, Time  0.240922
2021-09-11 02:54:47.195797 : Epoch  3, Batch   1357, Loss  0.867002, Average Loss  0.867682, Time  0.171904
2021-09-11 02:54:47.929418 : Epoch  1, Batch    986, Loss  0.876753, Average Loss  0.876418, Time  0.458959
2021-09-11 02:54:47.971663 : Epoch  3, Batch    720, Loss  0.593872, Average Loss  0.591976, Time  0.430376
2021-09-11 02:54:48.808760 : Epoch  3, Batch   1358, Loss  0.854386, Average Loss  0.867561, Time  0.171510
2021-09-11 02:54:49.504057 : Epoch  3, Batch    721, Loss  0.588200, Average Loss  0.591953, Time  0.240847
2021-09-11 02:54:50.426030 : Epoch  3, Batch   1359, Loss  0.860189, Average Loss  0.867399, Time  0.169980
2021-09-11 02:54:50.651829 : Epoch  1, Batch    987, Loss  0.882588, Average Loss  0.876522, Time  0.260871
2021-09-11 02:54:51.061258 : Epoch  3, Batch    722, Loss  0.587337, Average Loss  0.591902, Time  0.238990
2021-09-11 02:54:52.053035 : Epoch  3, Batch   1360, Loss  0.856484, Average Loss  0.867353, Time  0.169984
2021-09-11 02:54:52.610019 : Epoch  3, Batch    723, Loss  0.600252, Average Loss  0.591938, Time  0.237879
2021-09-11 02:54:53.365029 : Epoch  1, Batch    988, Loss  0.875382, Average Loss  0.876597, Time  0.238628
2021-09-11 02:54:53.642112 : Epoch  3, Batch   1361, Loss  0.877756, Average Loss  0.867213, Time  0.173989
2021-09-11 02:54:54.197547 : Epoch  3, Batch    724, Loss  0.597441, Average Loss  0.591918, Time  0.238140
2021-09-11 02:54:55.249986 : Epoch  3, Batch   1362, Loss  0.842553, Average Loss  0.867025, Time  0.169834
2021-09-11 02:54:55.744905 : Epoch  3, Batch    725, Loss  0.577720, Average Loss  0.591766, Time  0.237741
2021-09-11 02:54:56.027938 : Epoch  1, Batch    989, Loss  0.881992, Average Loss  0.876579, Time  0.241036
2021-09-11 02:54:56.884770 : Epoch  3, Batch   1363, Loss  0.833781, Average Loss  0.866857, Time  0.172017
2021-09-11 02:54:57.316622 : Epoch  3, Batch    726, Loss  0.569270, Average Loss  0.591662, Time  0.246530
2021-09-11 02:54:58.498061 : Epoch  3, Batch   1364, Loss  0.860007, Average Loss  0.866747, Time  0.175430
2021-09-11 02:54:58.773309 : Epoch  1, Batch    990, Loss  0.887544, Average Loss  0.876616, Time  0.259355
2021-09-11 02:55:00.118030 : Epoch  3, Batch   1365, Loss  0.874863, Average Loss  0.866821, Time  0.174181
2021-09-11 02:55:01.492921 : Epoch  1, Batch    991, Loss  0.901852, Average Loss  0.876831, Time  0.312430
2021-09-11 02:55:01.730034 : Epoch  3, Batch   1366, Loss  0.870697, Average Loss  0.866756, Time  0.170611
2021-09-11 02:55:03.363031 : Epoch  3, Batch   1367, Loss  0.862250, Average Loss  0.866761, Time  0.169770
2021-09-11 02:55:04.236946 : Epoch  1, Batch    992, Loss  0.860765, Average Loss  0.876760, Time  0.291434
2021-09-11 02:55:05.002769 : Epoch  3, Batch   1368, Loss  0.853471, Average Loss  0.866708, Time  0.179177
2021-09-11 02:55:06.612739 : Epoch  3, Batch   1369, Loss  0.873635, Average Loss  0.866705, Time  0.171917
2021-09-11 02:55:06.956017 : Epoch  1, Batch    993, Loss  0.869672, Average Loss  0.876741, Time  0.248490
2021-09-11 02:55:08.226017 : Epoch  3, Batch   1370, Loss  0.882406, Average Loss  0.866880, Time  0.177396
2021-09-11 02:55:09.838773 : Epoch  3, Batch   1371, Loss  0.883478, Average Loss  0.866932, Time  0.174922
2021-09-11 02:55:09.886429 : Epoch  1, Batch    994, Loss  0.885396, Average Loss  0.876828, Time  0.246032
2021-09-11 02:55:11.467993 : Epoch  3, Batch   1372, Loss  0.859962, Average Loss  0.866950, Time  0.169691
2021-09-11 02:55:12.772369 : Epoch  1, Batch    995, Loss  0.886984, Average Loss  0.876975, Time  0.246987
2021-09-11 02:55:13.098813 : Epoch  3, Batch   1373, Loss  0.875748, Average Loss  0.866899, Time  0.169409
2021-09-11 02:55:14.730815 : Epoch  3, Batch   1374, Loss  0.886919, Average Loss  0.866991, Time  0.172115
2021-09-11 02:55:15.490773 : Epoch  1, Batch    996, Loss  0.875734, Average Loss  0.876869, Time  0.239904
2021-09-11 02:55:16.357805 : Epoch  3, Batch   1375, Loss  0.890301, Average Loss  0.867006, Time  0.169800
2021-09-11 02:55:18.006746 : Epoch  3, Batch   1376, Loss  0.870318, Average Loss  0.867170, Time  0.170084
2021-09-11 02:55:18.320268 : Epoch  1, Batch    997, Loss  0.863996, Average Loss  0.876830, Time  0.249864
2021-09-11 02:55:19.633020 : Epoch  3, Batch   1377, Loss  0.880847, Average Loss  0.867074, Time  0.170032
2021-09-11 02:55:21.151055 : Epoch  1, Batch    998, Loss  0.878218, Average Loss  0.876851, Time  0.259456
2021-09-11 02:55:21.252725 : Epoch  3, Batch   1378, Loss  0.891767, Average Loss  0.867207, Time  0.169408
2021-09-11 02:55:24.070151 : Epoch  1, Batch    999, Loss  0.880880, Average Loss  0.876974, Time  0.268589
2021-09-11 02:55:36.244030 : Epoch  1, Batch   1000, Loss  0.895408, Average Loss  0.876997, Time  0.238814
2021-09-11 02:55:55.649827 : CheckPoint: Validation Loss  0.00024423, Best Loss  0.00024077
2021-09-11 02:55:57.221124 : Epoch  3, Batch    727, Loss  0.596038, Average Loss  0.591681, Time  0.243239
2021-09-11 02:55:58.839094 : Epoch  3, Batch    728, Loss  0.597061, Average Loss  0.591663, Time  0.235290
2021-09-11 02:56:00.403033 : Epoch  3, Batch    729, Loss  0.595746, Average Loss  0.591748, Time  0.234621
2021-09-11 02:56:02.044005 : Epoch  3, Batch    730, Loss  0.582084, Average Loss  0.591762, Time  0.314640
2021-09-11 02:56:03.615278 : Epoch  3, Batch    731, Loss  0.594317, Average Loss  0.591680, Time  0.240628
2021-09-11 02:56:05.342427 : Epoch  3, Batch    732, Loss  0.590321, Average Loss  0.591627, Time  0.256051
2021-09-11 02:56:07.002111 : Epoch  3, Batch    733, Loss  0.594276, Average Loss  0.591636, Time  0.326615
2021-09-11 02:56:08.586136 : Epoch  3, Batch    734, Loss  0.596785, Average Loss  0.591649, Time  0.243332
2021-09-11 02:56:10.183072 : Epoch  3, Batch    735, Loss  0.581262, Average Loss  0.591523, Time  0.267523
2021-09-11 02:56:11.790112 : Epoch  3, Batch    736, Loss  0.590495, Average Loss  0.591525, Time  0.253982
2021-09-11 02:56:13.383152 : Epoch  3, Batch    737, Loss  0.580716, Average Loss  0.591456, Time  0.237851
2021-09-11 02:56:14.954544 : Epoch  3, Batch    738, Loss  0.576333, Average Loss  0.591374, Time  0.240137
2021-09-11 02:56:16.527314 : Epoch  3, Batch    739, Loss  0.589813, Average Loss  0.591337, Time  0.245958
2021-09-11 02:56:18.120400 : Epoch  3, Batch    740, Loss  0.589001, Average Loss  0.591312, Time  0.249383
2021-09-11 02:56:19.679044 : Epoch  3, Batch    741, Loss  0.579116, Average Loss  0.591204, Time  0.237874
2021-09-11 02:56:21.238024 : Epoch  3, Batch    742, Loss  0.590484, Average Loss  0.591184, Time  0.240882
2021-09-11 02:56:22.792064 : Epoch  3, Batch    743, Loss  0.580975, Average Loss  0.591080, Time  0.236563
2021-09-11 02:56:22.960980 : Epoch  3, Batch    744, Loss  0.653103, Average Loss  0.591392, Time  0.111810
2021-09-11 02:56:24.692218 : Epoch  3, Batch    745, Loss  0.613663, Average Loss  0.591496, Time  0.262244
2021-09-11 02:56:26.283153 : Epoch  3, Batch    746, Loss  0.622755, Average Loss  0.591656, Time  0.241145
2021-09-11 02:56:27.841868 : Epoch  3, Batch    747, Loss  0.597588, Average Loss  0.591657, Time  0.241089
2021-09-11 02:56:29.424032 : Epoch  3, Batch    748, Loss  0.585693, Average Loss  0.591621, Time  0.249636
2021-09-11 02:56:30.975911 : Epoch  3, Batch    749, Loss  0.615459, Average Loss  0.591721, Time  0.235657
2021-09-11 02:56:32.556684 : Epoch  3, Batch    750, Loss  0.611120, Average Loss  0.591779, Time  0.239678
2021-09-11 02:56:34.137094 : Epoch  3, Batch    751, Loss  0.601301, Average Loss  0.591782, Time  0.235430
2021-09-11 02:56:35.774608 : Epoch  3, Batch    752, Loss  0.598406, Average Loss  0.591832, Time  0.236124
2021-09-11 02:56:37.605014 : Epoch  3, Batch    753, Loss  0.604941, Average Loss  0.591913, Time  0.249277
2021-09-11 02:56:39.237588 : Epoch  3, Batch    754, Loss  0.612301, Average Loss  0.592040, Time  0.241203
2021-09-11 02:56:40.803489 : Epoch  3, Batch    755, Loss  0.603992, Average Loss  0.592119, Time  0.233947
2021-09-11 02:56:42.403422 : Epoch  3, Batch    756, Loss  0.603462, Average Loss  0.592144, Time  0.255742
2021-09-11 02:56:43.997097 : Epoch  3, Batch    757, Loss  0.594213, Average Loss  0.592165, Time  0.245484
2021-09-11 02:56:45.704193 : Epoch  3, Batch    758, Loss  0.602773, Average Loss  0.592248, Time  0.246652
2021-09-11 02:56:47.296650 : Epoch  3, Batch    759, Loss  0.601525, Average Loss  0.592307, Time  0.248576
2021-09-11 02:56:48.917129 : Epoch  3, Batch    760, Loss  0.582223, Average Loss  0.592325, Time  0.263149
2021-09-11 02:56:50.556628 : Epoch  3, Batch    761, Loss  0.585520, Average Loss  0.592260, Time  0.241186
2021-09-11 02:56:52.319088 : Epoch  3, Batch    762, Loss  0.595407, Average Loss  0.592180, Time  0.254682
2021-09-11 02:56:53.974136 : Epoch  3, Batch    763, Loss  0.578602, Average Loss  0.592152, Time  0.238290
2021-09-11 02:56:55.592441 : Epoch  3, Batch    764, Loss  0.600313, Average Loss  0.592144, Time  0.243149
2021-09-11 02:56:57.257014 : Epoch  3, Batch    765, Loss  0.603766, Average Loss  0.592230, Time  0.245053
2021-09-11 02:56:58.832891 : Epoch  3, Batch    766, Loss  0.598545, Average Loss  0.592285, Time  0.239652
2021-09-11 02:57:00.424918 : Epoch  3, Batch    767, Loss  0.590766, Average Loss  0.592272, Time  0.237218
2021-09-11 02:57:02.036115 : Epoch  3, Batch    768, Loss  0.594754, Average Loss  0.592301, Time  0.255665
2021-09-11 02:57:03.635328 : Epoch  3, Batch    769, Loss  0.592311, Average Loss  0.592267, Time  0.237028
2021-09-11 02:57:05.220959 : Epoch  3, Batch    770, Loss  0.586637, Average Loss  0.592214, Time  0.244639
2021-09-11 02:57:06.831983 : Epoch  3, Batch    771, Loss  0.581929, Average Loss  0.592156, Time  0.242007
2021-09-11 02:57:08.514712 : Epoch  3, Batch    772, Loss  0.587458, Average Loss  0.592186, Time  0.241802
2021-09-11 02:57:10.092202 : Epoch  3, Batch    773, Loss  0.581619, Average Loss  0.592007, Time  0.234822
2021-09-11 02:57:11.708037 : Epoch  3, Batch    774, Loss  0.587068, Average Loss  0.591957, Time  0.235765
2021-09-11 02:57:13.311964 : Epoch  3, Batch    775, Loss  0.593855, Average Loss  0.592005, Time  0.240766
2021-09-11 02:57:14.924265 : Epoch  3, Batch    776, Loss  0.600429, Average Loss  0.592061, Time  0.240710
2021-09-11 02:57:16.750676 : Epoch  3, Batch    777, Loss  0.583922, Average Loss  0.591984, Time  0.338122
2021-09-11 02:57:18.380906 : Epoch  3, Batch    778, Loss  0.570011, Average Loss  0.591863, Time  0.237566
2021-09-11 02:57:19.999934 : Epoch  3, Batch    779, Loss  0.583372, Average Loss  0.591784, Time  0.234644
2021-09-11 02:57:21.605510 : Epoch  3, Batch    780, Loss  0.587039, Average Loss  0.591740, Time  0.242156
2021-09-11 02:57:23.194243 : Epoch  3, Batch    781, Loss  0.586967, Average Loss  0.591706, Time  0.256854
2021-09-11 02:57:24.770589 : Epoch  3, Batch    782, Loss  0.587087, Average Loss  0.591732, Time  0.236437
2021-09-11 02:57:26.375975 : Epoch  3, Batch    783, Loss  0.602706, Average Loss  0.591791, Time  0.262938
2021-09-11 02:57:28.117014 : Epoch  3, Batch    784, Loss  0.577249, Average Loss  0.591709, Time  0.265780
2021-09-11 02:57:29.926315 : Epoch  3, Batch    785, Loss  0.583079, Average Loss  0.591702, Time  0.340056
2021-09-11 02:57:31.582626 : Epoch  3, Batch    786, Loss  0.586534, Average Loss  0.591688, Time  0.268264
2021-09-11 02:57:33.172598 : Epoch  3, Batch    787, Loss  0.583143, Average Loss  0.591580, Time  0.245998
2021-09-11 02:57:33.210183 : Saving Model after 3-th Epoch.
2021-09-11 02:57:33.748719 : Epoch Finished.
2021-09-11 02:57:36.381698 : Batch Shuffled
2021-09-11 02:57:37.969208 : Epoch  4, Batch      1, Loss  0.591740, Average Loss  0.591562, Time  0.253920
2021-09-11 02:57:39.555032 : Epoch  4, Batch      2, Loss  0.599504, Average Loss  0.591541, Time  0.261254
2021-09-11 02:57:41.129259 : Epoch  4, Batch      3, Loss  0.577575, Average Loss  0.591463, Time  0.244558
2021-09-11 02:57:42.773650 : Epoch  4, Batch      4, Loss  0.575106, Average Loss  0.591389, Time  0.322690
2021-09-11 02:57:44.372252 : Epoch  4, Batch      5, Loss  0.594226, Average Loss  0.591324, Time  0.269285
2021-09-11 02:57:45.976581 : Epoch  4, Batch      6, Loss  0.594036, Average Loss  0.591336, Time  0.245337
2021-09-11 02:57:47.567243 : Epoch  4, Batch      7, Loss  0.600094, Average Loss  0.591369, Time  0.243672
2021-09-11 02:57:49.138210 : Epoch  4, Batch      8, Loss  0.599479, Average Loss  0.591386, Time  0.254667
2021-09-11 02:57:50.708471 : Epoch  4, Batch      9, Loss  0.580889, Average Loss  0.591306, Time  0.263191
2021-09-11 02:57:52.338734 : Epoch  4, Batch     10, Loss  0.591847, Average Loss  0.591245, Time  0.237613
2021-09-11 02:57:53.936660 : Epoch  4, Batch     11, Loss  0.589362, Average Loss  0.591200, Time  0.248715
2021-09-11 02:57:55.773250 : Epoch  4, Batch     12, Loss  0.584352, Average Loss  0.591160, Time  0.322804
2021-09-11 02:57:57.362898 : Epoch  4, Batch     13, Loss  0.585378, Average Loss  0.591126, Time  0.278680
2021-09-11 02:57:58.993071 : Epoch  4, Batch     14, Loss  0.587452, Average Loss  0.591130, Time  0.255173
2021-09-11 02:58:00.613064 : Epoch  4, Batch     15, Loss  0.572555, Average Loss  0.591039, Time  0.239055
2021-09-11 02:58:02.226193 : Epoch  4, Batch     16, Loss  0.580988, Average Loss  0.590984, Time  0.242028
2021-09-11 02:58:03.785158 : Epoch  4, Batch     17, Loss  0.580665, Average Loss  0.590898, Time  0.236775
2021-09-11 02:58:05.389915 : Epoch  4, Batch     18, Loss  0.574494, Average Loss  0.590760, Time  0.246820
2021-09-11 02:58:06.966681 : Epoch  4, Batch     19, Loss  0.576357, Average Loss  0.590632, Time  0.236428
2021-09-11 02:58:08.540976 : Epoch  4, Batch     20, Loss  0.582355, Average Loss  0.590617, Time  0.240584
2021-09-11 02:58:10.093737 : Epoch  4, Batch     21, Loss  0.584044, Average Loss  0.590575, Time  0.239473
2021-09-11 02:58:11.668332 : Epoch  4, Batch     22, Loss  0.580846, Average Loss  0.590511, Time  0.237501
2021-09-11 02:58:13.334666 : Epoch  4, Batch     23, Loss  0.600497, Average Loss  0.590558, Time  0.319087
2021-09-11 02:58:15.083218 : Epoch  4, Batch     24, Loss  0.601269, Average Loss  0.590559, Time  0.265927
2021-09-11 02:58:16.812117 : Epoch  4, Batch     25, Loss  0.592030, Average Loss  0.590551, Time  0.245469
2021-09-11 02:58:18.488246 : Epoch  4, Batch     26, Loss  0.582948, Average Loss  0.590449, Time  0.300608
2021-09-11 02:58:20.048064 : Epoch  4, Batch     27, Loss  0.588458, Average Loss  0.590477, Time  0.239993
2021-09-11 02:58:21.652008 : Epoch  4, Batch     28, Loss  0.587712, Average Loss  0.590443, Time  0.245568
2021-09-11 02:58:23.298592 : Epoch  4, Batch     29, Loss  0.575008, Average Loss  0.590330, Time  0.321429
2021-09-11 02:58:24.850865 : Epoch  4, Batch     30, Loss  0.592685, Average Loss  0.590333, Time  0.240503
2021-09-11 02:58:26.423285 : Epoch  4, Batch     31, Loss  0.568336, Average Loss  0.590207, Time  0.241997
2021-09-11 02:58:28.003201 : Epoch  4, Batch     32, Loss  0.586123, Average Loss  0.590179, Time  0.241861
2021-09-11 02:58:29.560580 : Epoch  4, Batch     33, Loss  0.586761, Average Loss  0.590099, Time  0.238836
2021-09-11 02:58:31.132135 : Epoch  4, Batch     34, Loss  0.593594, Average Loss  0.590063, Time  0.238145
2021-09-11 02:58:32.688531 : Epoch  4, Batch     35, Loss  0.584528, Average Loss  0.589978, Time  0.236544
2021-09-11 02:58:34.260968 : Epoch  4, Batch     36, Loss  0.591709, Average Loss  0.589976, Time  0.236182
2021-09-11 02:58:35.919616 : Epoch  4, Batch     37, Loss  0.592540, Average Loss  0.590040, Time  0.323626
2021-09-11 02:58:37.532496 : Epoch  4, Batch     38, Loss  0.585536, Average Loss  0.589998, Time  0.247278
2021-09-11 02:58:39.177544 : Epoch  4, Batch     39, Loss  0.580377, Average Loss  0.590007, Time  0.240173
2021-09-11 02:59:38.631789 : CheckPoint: Validation Loss  0.00023325, Best Loss  0.00023325
2021-09-11 02:59:38.696246 : Best Model Updated
2021-09-11 02:59:41.425257 : Epoch  4, Batch     40, Loss  0.592638, Average Loss  0.589952, Time  0.237958
2021-09-11 02:59:43.078559 : Epoch  4, Batch     41, Loss  0.570982, Average Loss  0.589851, Time  0.321449
2021-09-11 02:59:44.637214 : Epoch  4, Batch     42, Loss  0.584334, Average Loss  0.589816, Time  0.243382
2021-09-11 02:59:46.230286 : Epoch  4, Batch     43, Loss  0.573980, Average Loss  0.589757, Time  0.237696
2021-09-11 02:59:47.819129 : Epoch  4, Batch     44, Loss  0.585767, Average Loss  0.589742, Time  0.261015
2021-09-11 02:59:49.398999 : Epoch  4, Batch     45, Loss  0.593423, Average Loss  0.589824, Time  0.239472
2021-09-11 02:59:51.018280 : Epoch  4, Batch     46, Loss  0.591744, Average Loss  0.589849, Time  0.238235
2021-09-11 02:59:52.613061 : Epoch  4, Batch     47, Loss  0.577970, Average Loss  0.589777, Time  0.236331
2021-09-11 02:59:54.200442 : Epoch  4, Batch     48, Loss  0.597051, Average Loss  0.589851, Time  0.240020
2021-09-11 02:59:54.809743 : CheckPoint: Validation Loss  0.00031252, Best Loss  0.00029681
2021-09-11 02:59:55.754608 : Epoch  4, Batch     49, Loss  0.580117, Average Loss  0.589748, Time  0.235090
2021-09-11 02:59:57.330214 : Epoch  4, Batch     50, Loss  0.589705, Average Loss  0.589782, Time  0.238602
2021-09-11 02:59:57.763148 : Epoch  1, Batch   1001, Loss  0.860826, Average Loss  0.876958, Time  0.243315
2021-09-11 02:59:58.898647 : Epoch  4, Batch     51, Loss  0.582703, Average Loss  0.589725, Time  0.236980
2021-09-11 03:00:00.606279 : Epoch  4, Batch     52, Loss  0.579271, Average Loss  0.589668, Time  0.395933
2021-09-11 03:00:00.673967 : Epoch  1, Batch   1002, Loss  0.858769, Average Loss  0.876845, Time  0.349826
2021-09-11 03:00:01.787722 : CheckPoint: Validation Loss  0.00060557, Best Loss  0.00057296
2021-09-11 03:00:02.178103 : Epoch  4, Batch     53, Loss  0.592571, Average Loss  0.589714, Time  0.238115
2021-09-11 03:00:03.435886 : Epoch  3, Batch   1379, Loss  0.844230, Average Loss  0.867009, Time  0.177873
2021-09-11 03:00:03.499052 : Epoch  1, Batch   1003, Loss  0.869912, Average Loss  0.876914, Time  0.252475
2021-09-11 03:00:03.731334 : Epoch  4, Batch     54, Loss  0.572032, Average Loss  0.589594, Time  0.235036
2021-09-11 03:00:05.068726 : Epoch  3, Batch   1380, Loss  0.890495, Average Loss  0.867043, Time  0.170703
2021-09-11 03:00:05.360096 : Epoch  4, Batch     55, Loss  0.575216, Average Loss  0.589504, Time  0.236890
2021-09-11 03:00:06.159359 : Epoch  1, Batch   1004, Loss  0.868541, Average Loss  0.877033, Time  0.251889
2021-09-11 03:00:06.693976 : Epoch  3, Batch   1381, Loss  0.878788, Average Loss  0.867043, Time  0.169721
2021-09-11 03:00:06.939036 : Epoch  4, Batch     56, Loss  0.587264, Average Loss  0.589512, Time  0.240821
2021-09-11 03:00:08.327780 : Epoch  3, Batch   1382, Loss  0.911710, Average Loss  0.867358, Time  0.170015
2021-09-11 03:00:08.522001 : Epoch  4, Batch     57, Loss  0.589128, Average Loss  0.589477, Time  0.258942
2021-09-11 03:00:08.867969 : Epoch  1, Batch   1005, Loss  0.874628, Average Loss  0.876887, Time  0.279863
2021-09-11 03:00:09.956971 : Epoch  3, Batch   1383, Loss  0.841477, Average Loss  0.867395, Time  0.169882
2021-09-11 03:00:10.123982 : Epoch  4, Batch     58, Loss  0.582273, Average Loss  0.589469, Time  0.243648
2021-09-11 03:00:11.576976 : Epoch  3, Batch   1384, Loss  0.862268, Average Loss  0.867418, Time  0.169646
2021-09-11 03:00:11.742916 : Epoch  1, Batch   1006, Loss  0.848654, Average Loss  0.876704, Time  0.388962
2021-09-11 03:00:11.834643 : Epoch  4, Batch     59, Loss  0.583819, Average Loss  0.589480, Time  0.341552
2021-09-11 03:00:13.201058 : Epoch  3, Batch   1385, Loss  0.890125, Average Loss  0.867584, Time  0.185163
2021-09-11 03:00:13.650154 : Epoch  4, Batch     60, Loss  0.581327, Average Loss  0.589388, Time  0.311749
2021-09-11 03:00:14.699125 : Epoch  1, Batch   1007, Loss  0.877332, Average Loss  0.876671, Time  0.243607
2021-09-11 03:00:14.840756 : Epoch  3, Batch   1386, Loss  0.882374, Average Loss  0.867658, Time  0.170161
2021-09-11 03:00:15.387174 : Epoch  4, Batch     61, Loss  0.594398, Average Loss  0.589425, Time  0.255959
2021-09-11 03:00:16.461033 : Epoch  3, Batch   1387, Loss  0.894013, Average Loss  0.868048, Time  0.173514
2021-09-11 03:00:16.995967 : Epoch  4, Batch     62, Loss  0.585723, Average Loss  0.589451, Time  0.241462
2021-09-11 03:00:17.446369 : Epoch  1, Batch   1008, Loss  0.873227, Average Loss  0.876666, Time  0.243304
2021-09-11 03:00:18.074029 : Epoch  3, Batch   1388, Loss  0.863980, Average Loss  0.867997, Time  0.173066
2021-09-11 03:00:18.609164 : Epoch  4, Batch     63, Loss  0.580218, Average Loss  0.589361, Time  0.242221
2021-09-11 03:00:19.701028 : Epoch  3, Batch   1389, Loss  0.883875, Average Loss  0.868142, Time  0.173595
2021-09-11 03:00:20.451210 : Epoch  4, Batch     64, Loss  0.579772, Average Loss  0.589287, Time  0.438744
2021-09-11 03:00:20.500425 : Epoch  1, Batch   1009, Loss  0.881153, Average Loss  0.876687, Time  0.366847
2021-09-11 03:00:21.315995 : Epoch  3, Batch   1390, Loss  0.878748, Average Loss  0.868299, Time  0.178889
2021-09-11 03:00:22.033102 : Epoch  4, Batch     65, Loss  0.580609, Average Loss  0.589190, Time  0.246313
2021-09-11 03:00:22.911744 : Epoch  3, Batch   1391, Loss  0.845419, Average Loss  0.867998, Time  0.169780
2021-09-11 03:00:23.195897 : Epoch  1, Batch   1010, Loss  0.898325, Average Loss  0.876707, Time  0.252175
2021-09-11 03:00:23.717384 : Epoch  4, Batch     66, Loss  0.585970, Average Loss  0.589102, Time  0.237436
2021-09-11 03:00:24.535051 : Epoch  3, Batch   1392, Loss  0.870320, Average Loss  0.868006, Time  0.172434
2021-09-11 03:00:25.262880 : Epoch  4, Batch     67, Loss  0.579393, Average Loss  0.589080, Time  0.234901
2021-09-11 03:00:25.853364 : Epoch  1, Batch   1011, Loss  0.901546, Average Loss  0.876862, Time  0.237844
2021-09-11 03:00:26.148031 : Epoch  3, Batch   1393, Loss  0.876710, Average Loss  0.868129, Time  0.175098
2021-09-11 03:00:26.981926 : Epoch  4, Batch     68, Loss  0.585933, Average Loss  0.589087, Time  0.257203
2021-09-11 03:00:27.764765 : Epoch  3, Batch   1394, Loss  0.868896, Average Loss  0.868030, Time  0.173296
2021-09-11 03:00:28.841780 : Epoch  4, Batch     69, Loss  0.591977, Average Loss  0.589123, Time  0.437036
2021-09-11 03:00:28.892575 : Epoch  1, Batch   1012, Loss  0.872240, Average Loss  0.876868, Time  0.453066
2021-09-11 03:00:29.383769 : Epoch  3, Batch   1395, Loss  0.868364, Average Loss  0.868256, Time  0.170505
2021-09-11 03:00:30.397564 : Epoch  4, Batch     70, Loss  0.582082, Average Loss  0.589125, Time  0.260231
2021-09-11 03:00:31.000863 : Epoch  3, Batch   1396, Loss  0.864270, Average Loss  0.868334, Time  0.173672
2021-09-11 03:00:31.730507 : Epoch  1, Batch   1013, Loss  0.874851, Average Loss  0.876870, Time  0.257865
2021-09-11 03:00:31.937092 : Epoch  4, Batch     71, Loss  0.570308, Average Loss  0.589066, Time  0.239924
2021-09-11 03:00:32.617027 : Epoch  3, Batch   1397, Loss  0.866418, Average Loss  0.868269, Time  0.170969
2021-09-11 03:00:33.464488 : Epoch  4, Batch     72, Loss  0.577353, Average Loss  0.589040, Time  0.235242
2021-09-11 03:00:34.234059 : Epoch  3, Batch   1398, Loss  0.867586, Average Loss  0.868247, Time  0.174786
2021-09-11 03:00:34.532019 : Epoch  1, Batch   1014, Loss  0.862189, Average Loss  0.876829, Time  0.241362
2021-09-11 03:00:35.019957 : Epoch  4, Batch     73, Loss  0.591311, Average Loss  0.589073, Time  0.263117
2021-09-11 03:00:35.836032 : Epoch  3, Batch   1399, Loss  0.827099, Average Loss  0.868040, Time  0.172735
2021-09-11 03:00:36.555076 : Epoch  4, Batch     74, Loss  0.578895, Average Loss  0.589064, Time  0.238495
2021-09-11 03:00:37.225875 : Epoch  1, Batch   1015, Loss  0.894035, Average Loss  0.876923, Time  0.251519
2021-09-11 03:00:37.414030 : Epoch  3, Batch   1400, Loss  0.849133, Average Loss  0.867827, Time  0.172017
2021-09-11 03:00:38.082815 : Epoch  4, Batch     75, Loss  0.586669, Average Loss  0.589040, Time  0.236275
2021-09-11 03:00:39.010840 : Epoch  3, Batch   1401, Loss  0.875222, Average Loss  0.868057, Time  0.188460
2021-09-11 03:00:39.669803 : Epoch  4, Batch     76, Loss  0.583371, Average Loss  0.588982, Time  0.237422
2021-09-11 03:00:40.120972 : Epoch  1, Batch   1016, Loss  0.886304, Average Loss  0.877057, Time  0.241635
2021-09-11 03:00:40.601683 : Epoch  3, Batch   1402, Loss  0.854301, Average Loss  0.868128, Time  0.170328
2021-09-11 03:00:41.197411 : Epoch  4, Batch     77, Loss  0.589935, Average Loss  0.588969, Time  0.234862
2021-09-11 03:00:42.191905 : Epoch  3, Batch   1403, Loss  0.851468, Average Loss  0.868108, Time  0.170475
2021-09-11 03:00:42.855803 : Epoch  4, Batch     78, Loss  0.577029, Average Loss  0.588921, Time  0.352602
2021-09-11 03:00:42.954383 : Epoch  1, Batch   1017, Loss  0.898330, Average Loss  0.877112, Time  0.296222
2021-09-11 03:00:43.811027 : Epoch  3, Batch   1404, Loss  0.903838, Average Loss  0.868365, Time  0.171310
2021-09-11 03:00:44.500471 : Epoch  4, Batch     79, Loss  0.584634, Average Loss  0.588857, Time  0.251580
2021-09-11 03:00:45.418034 : Epoch  3, Batch   1405, Loss  0.859191, Average Loss  0.868370, Time  0.170477
2021-09-11 03:00:45.645738 : Epoch  1, Batch   1018, Loss  0.866436, Average Loss  0.877102, Time  0.242478
2021-09-11 03:00:46.019898 : Epoch  4, Batch     80, Loss  0.580555, Average Loss  0.588832, Time  0.235759
2021-09-11 03:00:47.044048 : Epoch  3, Batch   1406, Loss  0.874220, Average Loss  0.868363, Time  0.171119
2021-09-11 03:00:47.615076 : Epoch  4, Batch     81, Loss  0.582400, Average Loss  0.588827, Time  0.237728
2021-09-11 03:00:48.427004 : Epoch  1, Batch   1019, Loss  0.870363, Average Loss  0.877004, Time  0.239947
2021-09-11 03:00:48.693785 : Epoch  3, Batch   1407, Loss  0.871032, Average Loss  0.868396, Time  0.186857
2021-09-11 03:00:49.132151 : Epoch  4, Batch     82, Loss  0.582238, Average Loss  0.588737, Time  0.234592
2021-09-11 03:00:50.297022 : Epoch  3, Batch   1408, Loss  0.881825, Average Loss  0.868395, Time  0.170356
2021-09-11 03:00:50.692813 : Epoch  4, Batch     83, Loss  0.596819, Average Loss  0.588714, Time  0.240938
2021-09-11 03:00:51.053402 : Epoch  1, Batch   1020, Loss  0.881960, Average Loss  0.877177, Time  0.237550
2021-09-11 03:00:51.913020 : Epoch  3, Batch   1409, Loss  0.879980, Average Loss  0.868420, Time  0.170117
2021-09-11 03:00:52.226992 : Epoch  4, Batch     84, Loss  0.583263, Average Loss  0.588703, Time  0.239983
2021-09-11 03:00:53.542029 : Epoch  3, Batch   1410, Loss  0.896481, Average Loss  0.868658, Time  0.172046
2021-09-11 03:00:53.958996 : Epoch  1, Batch   1021, Loss  0.883011, Average Loss  0.877203, Time  0.441439
2021-09-11 03:00:53.997301 : Epoch  4, Batch     85, Loss  0.575262, Average Loss  0.588631, Time  0.455022
2021-09-11 03:00:55.138081 : Epoch  3, Batch   1411, Loss  0.863557, Average Loss  0.868612, Time  0.171960
2021-09-11 03:00:55.597888 : Epoch  4, Batch     86, Loss  0.582735, Average Loss  0.588634, Time  0.253656
2021-09-11 03:00:56.702840 : Epoch  1, Batch   1022, Loss  0.874491, Average Loss  0.877213, Time  0.241565
2021-09-11 03:00:56.756032 : Epoch  3, Batch   1412, Loss  0.874217, Average Loss  0.868695, Time  0.169997
2021-09-11 03:00:57.156837 : Epoch  4, Batch     87, Loss  0.578689, Average Loss  0.588569, Time  0.235979
2021-09-11 03:00:58.378026 : Epoch  3, Batch   1413, Loss  0.859193, Average Loss  0.868655, Time  0.189482
2021-09-11 03:00:58.693065 : Epoch  4, Batch     88, Loss  0.582224, Average Loss  0.588574, Time  0.253654
2021-09-11 03:00:59.449931 : Epoch  1, Batch   1023, Loss  0.883183, Average Loss  0.877241, Time  0.242115
2021-09-11 03:00:59.991812 : Epoch  3, Batch   1414, Loss  0.838778, Average Loss  0.868688, Time  0.176614
2021-09-11 03:01:00.237093 : Epoch  4, Batch     89, Loss  0.589844, Average Loss  0.588516, Time  0.243697
2021-09-11 03:01:01.614035 : Epoch  3, Batch   1415, Loss  0.853164, Average Loss  0.868532, Time  0.173093
2021-09-11 03:01:01.763789 : Epoch  4, Batch     90, Loss  0.579082, Average Loss  0.588429, Time  0.236680
2021-09-11 03:01:02.317943 : Epoch  1, Batch   1024, Loss  0.875510, Average Loss  0.877353, Time  0.238378
2021-09-11 03:01:03.275793 : Epoch  3, Batch   1416, Loss  0.877015, Average Loss  0.868471, Time  0.170146
2021-09-11 03:01:03.306071 : Epoch  4, Batch     91, Loss  0.587670, Average Loss  0.588479, Time  0.239805
2021-09-11 03:01:04.905813 : Epoch  3, Batch   1417, Loss  0.896068, Average Loss  0.868617, Time  0.175849
2021-09-11 03:01:05.185920 : Epoch  1, Batch   1025, Loss  0.846207, Average Loss  0.877117, Time  0.446699
2021-09-11 03:01:05.230494 : Epoch  4, Batch     92, Loss  0.570611, Average Loss  0.588351, Time  0.437290
2021-09-11 03:01:06.517799 : Epoch  3, Batch   1418, Loss  0.890372, Average Loss  0.868674, Time  0.172242
2021-09-11 03:01:06.807854 : Epoch  4, Batch     93, Loss  0.602477, Average Loss  0.588396, Time  0.236143
2021-09-11 03:01:07.835948 : Epoch  1, Batch   1026, Loss  0.856312, Average Loss  0.877048, Time  0.240665
2021-09-11 03:01:08.140953 : Epoch  3, Batch   1419, Loss  0.871447, Average Loss  0.868728, Time  0.169861
2021-09-11 03:01:08.325321 : Epoch  4, Batch     94, Loss  0.583197, Average Loss  0.588352, Time  0.234892
2021-09-11 03:01:09.754772 : Epoch  3, Batch   1420, Loss  0.872604, Average Loss  0.868667, Time  0.170069
2021-09-11 03:01:09.847972 : Epoch  4, Batch     95, Loss  0.581435, Average Loss  0.588296, Time  0.236681
2021-09-11 03:01:10.467878 : Epoch  1, Batch   1027, Loss  0.882985, Average Loss  0.877047, Time  0.240693
2021-09-11 03:01:11.380401 : Epoch  4, Batch     96, Loss  0.582729, Average Loss  0.588248, Time  0.234740
2021-09-11 03:01:12.985797 : Epoch  3, Batch   1422, Loss  0.838995, Average Loss  0.868463, Time  0.171038
2021-09-11 03:01:13.037430 : Epoch  4, Batch     97, Loss  0.592464, Average Loss  0.588318, Time  0.325155
2021-09-11 03:01:13.162157 : Epoch  1, Batch   1028, Loss  0.877902, Average Loss  0.876996, Time  0.280977
2021-09-11 03:01:14.572269 : Epoch  4, Batch     98, Loss  0.577748, Average Loss  0.588275, Time  0.235245
2021-09-11 03:01:14.597772 : Epoch  3, Batch   1423, Loss  0.853861, Average Loss  0.868470, Time  0.174118
2021-09-11 03:01:15.823966 : Epoch  1, Batch   1029, Loss  0.881800, Average Loss  0.877035, Time  0.272996
2021-09-11 03:01:16.114071 : Epoch  4, Batch     99, Loss  0.571379, Average Loss  0.588161, Time  0.238128
2021-09-11 03:01:16.221856 : Epoch  3, Batch   1424, Loss  0.878720, Average Loss  0.868328, Time  0.169868
2021-09-11 03:01:17.720815 : Epoch  4, Batch    100, Loss  0.576487, Average Loss  0.588185, Time  0.253476
2021-09-11 03:01:17.849036 : Epoch  3, Batch   1425, Loss  0.860309, Average Loss  0.868381, Time  0.180132
2021-09-11 03:01:18.609384 : Epoch  1, Batch   1030, Loss  0.870813, Average Loss  0.876964, Time  0.240232
2021-09-11 03:01:19.371035 : Epoch  4, Batch    101, Loss  0.580721, Average Loss  0.588071, Time  0.234474
2021-09-11 03:01:19.469021 : Epoch  3, Batch   1426, Loss  0.855806, Average Loss  0.868272, Time  0.170060
2021-09-11 03:01:20.923935 : Epoch  4, Batch    102, Loss  0.591141, Average Loss  0.588074, Time  0.241943
2021-09-11 03:01:21.070031 : Epoch  3, Batch   1427, Loss  0.873569, Average Loss  0.868315, Time  0.169947
2021-09-11 03:01:21.270825 : Epoch  1, Batch   1031, Loss  0.878350, Average Loss  0.877013, Time  0.254436
2021-09-11 03:01:22.472470 : Epoch  4, Batch    103, Loss  0.579356, Average Loss  0.588053, Time  0.237697
2021-09-11 03:01:22.675033 : Epoch  3, Batch   1428, Loss  0.876674, Average Loss  0.868253, Time  0.170312
2021-09-11 03:01:24.132414 : Epoch  1, Batch   1032, Loss  0.864095, Average Loss  0.876980, Time  0.441643
2021-09-11 03:01:24.171104 : Epoch  4, Batch    104, Loss  0.580520, Average Loss  0.587947, Time  0.373261
2021-09-11 03:01:24.282817 : Epoch  3, Batch   1429, Loss  0.881912, Average Loss  0.868324, Time  0.170087
2021-09-11 03:01:25.692420 : Epoch  4, Batch    105, Loss  0.589027, Average Loss  0.587890, Time  0.233112
2021-09-11 03:01:25.886033 : Epoch  3, Batch   1430, Loss  0.885704, Average Loss  0.868269, Time  0.170095
2021-09-11 03:01:26.920917 : Epoch  1, Batch   1033, Loss  0.881369, Average Loss  0.877093, Time  0.249438
2021-09-11 03:01:27.315676 : Epoch  4, Batch    106, Loss  0.575405, Average Loss  0.587827, Time  0.255929
2021-09-11 03:01:27.504851 : Epoch  3, Batch   1431, Loss  0.871665, Average Loss  0.868144, Time  0.172738
2021-09-11 03:01:29.046012 : Epoch  4, Batch    107, Loss  0.584466, Average Loss  0.587866, Time  0.242009
2021-09-11 03:01:29.118022 : Epoch  3, Batch   1432, Loss  0.878186, Average Loss  0.868233, Time  0.179413
2021-09-11 03:01:29.653075 : Epoch  1, Batch   1034, Loss  0.874895, Average Loss  0.877127, Time  0.248723
2021-09-11 03:01:30.591389 : Epoch  4, Batch    108, Loss  0.581030, Average Loss  0.587855, Time  0.240186
2021-09-11 03:01:30.752897 : Epoch  3, Batch   1433, Loss  0.842039, Average Loss  0.868083, Time  0.181533
2021-09-11 03:01:32.105899 : Epoch  4, Batch    109, Loss  0.578064, Average Loss  0.587810, Time  0.232377
2021-09-11 03:01:32.379852 : Epoch  3, Batch   1434, Loss  0.881847, Average Loss  0.868117, Time  0.172872
2021-09-11 03:01:32.498404 : Epoch  1, Batch   1035, Loss  0.909131, Average Loss  0.877225, Time  0.242636
2021-09-11 03:01:33.996038 : Epoch  3, Batch   1435, Loss  0.843638, Average Loss  0.867940, Time  0.169850
2021-09-11 03:01:35.195556 : Epoch  1, Batch   1036, Loss  0.887451, Average Loss  0.877337, Time  0.248926
2021-09-11 03:01:35.614767 : Epoch  3, Batch   1436, Loss  0.839605, Average Loss  0.867651, Time  0.170505
2021-09-11 03:01:35.964752 : Epoch  4, Batch    110, Loss  0.572263, Average Loss  0.587694, Time  0.232465
2021-09-11 03:01:37.227018 : Epoch  3, Batch   1437, Loss  0.867446, Average Loss  0.867683, Time  0.176786
2021-09-11 03:01:37.492806 : Epoch  4, Batch    111, Loss  0.588941, Average Loss  0.587753, Time  0.231976
2021-09-11 03:01:37.903570 : Epoch  1, Batch   1037, Loss  0.906911, Average Loss  0.877418, Time  0.237782
2021-09-11 03:01:38.849917 : Epoch  3, Batch   1438, Loss  0.871938, Average Loss  0.867628, Time  0.183247
2021-09-11 03:01:39.024961 : Epoch  4, Batch    112, Loss  0.595719, Average Loss  0.587817, Time  0.232212
2021-09-11 03:01:40.439430 : Epoch  3, Batch   1439, Loss  0.862291, Average Loss  0.867760, Time  0.170164
2021-09-11 03:01:40.685324 : Epoch  1, Batch   1038, Loss  0.864024, Average Loss  0.877279, Time  0.308302
2021-09-11 03:01:40.892997 : Epoch  4, Batch    113, Loss  0.577289, Average Loss  0.587810, Time  0.375523
2021-09-11 03:01:42.043035 : Epoch  3, Batch   1440, Loss  0.844154, Average Loss  0.867749, Time  0.174976
2021-09-11 03:01:42.444406 : Epoch  4, Batch    114, Loss  0.577072, Average Loss  0.587698, Time  0.255425
2021-09-11 03:01:43.477846 : Epoch  1, Batch   1039, Loss  0.880257, Average Loss  0.877202, Time  0.252243
2021-09-11 03:01:43.664031 : Epoch  3, Batch   1441, Loss  0.861775, Average Loss  0.867925, Time  0.169999
2021-09-11 03:01:43.958752 : Epoch  4, Batch    115, Loss  0.583044, Average Loss  0.587646, Time  0.236013
2021-09-11 03:01:45.285063 : Epoch  3, Batch   1442, Loss  0.851702, Average Loss  0.867728, Time  0.175722
2021-09-11 03:01:45.568055 : Epoch  4, Batch    116, Loss  0.571807, Average Loss  0.587533, Time  0.237222
2021-09-11 03:01:46.467258 : Epoch  1, Batch   1040, Loss  0.893798, Average Loss  0.877237, Time  0.238873
2021-09-11 03:01:46.902816 : Epoch  3, Batch   1443, Loss  0.900417, Average Loss  0.867781, Time  0.182377
2021-09-11 03:01:47.109470 : Epoch  4, Batch    117, Loss  0.580626, Average Loss  0.587526, Time  0.234974
2021-09-11 03:01:48.521032 : Epoch  3, Batch   1444, Loss  0.851106, Average Loss  0.867599, Time  0.173094
2021-09-11 03:01:48.731041 : Epoch  4, Batch    118, Loss  0.566651, Average Loss  0.587496, Time  0.251610
2021-09-11 03:01:49.201394 : Epoch  1, Batch   1041, Loss  0.854024, Average Loss  0.877078, Time  0.238277
2021-09-11 03:01:50.137831 : Epoch  3, Batch   1445, Loss  0.849016, Average Loss  0.867455, Time  0.170177
2021-09-11 03:01:50.270898 : Epoch  4, Batch    119, Loss  0.592893, Average Loss  0.587422, Time  0.235096
2021-09-11 03:01:51.738025 : Epoch  3, Batch   1446, Loss  0.879018, Average Loss  0.867365, Time  0.184339
2021-09-11 03:01:52.079441 : Epoch  4, Batch    120, Loss  0.584147, Average Loss  0.587388, Time  0.452991
2021-09-11 03:01:52.119258 : Epoch  1, Batch   1042, Loss  0.889850, Average Loss  0.877115, Time  0.460865
2021-09-11 03:01:53.344040 : Epoch  3, Batch   1447, Loss  0.859651, Average Loss  0.867407, Time  0.170095
2021-09-11 03:01:53.595121 : Epoch  4, Batch    121, Loss  0.582651, Average Loss  0.587383, Time  0.233201
2021-09-11 03:01:54.776216 : Epoch  1, Batch   1043, Loss  0.869643, Average Loss  0.876998, Time  0.239621
2021-09-11 03:01:54.951034 : Epoch  3, Batch   1448, Loss  0.865006, Average Loss  0.867333, Time  0.183595
2021-09-11 03:01:55.132989 : Epoch  4, Batch    122, Loss  0.579185, Average Loss  0.587257, Time  0.235159
2021-09-11 03:01:56.576018 : Epoch  3, Batch   1449, Loss  0.905556, Average Loss  0.867720, Time  0.173116
2021-09-11 03:01:56.635728 : Epoch  4, Batch    123, Loss  0.576233, Average Loss  0.587172, Time  0.231589
2021-09-11 03:01:57.679827 : Epoch  1, Batch   1044, Loss  0.896791, Average Loss  0.877065, Time  0.254156
2021-09-11 03:01:58.154395 : Epoch  4, Batch    124, Loss  0.584916, Average Loss  0.587148, Time  0.246116
2021-09-11 03:01:58.184044 : Epoch  3, Batch   1450, Loss  0.858907, Average Loss  0.867651, Time  0.175934
2021-09-11 03:01:59.749810 : Epoch  4, Batch    125, Loss  0.572445, Average Loss  0.587053, Time  0.237267
2021-09-11 03:01:59.815031 : Epoch  3, Batch   1451, Loss  0.884727, Average Loss  0.867818, Time  0.179110
2021-09-11 03:02:00.379876 : Epoch  1, Batch   1045, Loss  0.870775, Average Loss  0.877016, Time  0.264935
2021-09-11 03:02:01.272411 : Epoch  4, Batch    126, Loss  0.581385, Average Loss  0.587006, Time  0.237144
2021-09-11 03:02:01.430030 : Epoch  3, Batch   1452, Loss  0.910278, Average Loss  0.868016, Time  0.180010
2021-09-11 03:02:02.776025 : Epoch  4, Batch    127, Loss  0.573077, Average Loss  0.586920, Time  0.233710
2021-09-11 03:02:03.041726 : Epoch  3, Batch   1453, Loss  0.852570, Average Loss  0.867911, Time  0.170329
2021-09-11 03:02:03.229845 : Epoch  1, Batch   1046, Loss  0.900423, Average Loss  0.877077, Time  0.242836
2021-09-11 03:02:04.310900 : Epoch  4, Batch    128, Loss  0.585758, Average Loss  0.586922, Time  0.232956
2021-09-11 03:02:04.692026 : Epoch  3, Batch   1454, Loss  0.844039, Average Loss  0.867702, Time  0.170016
2021-09-11 03:02:06.076173 : Epoch  1, Batch   1047, Loss  0.863907, Average Loss  0.877012, Time  0.446200
2021-09-11 03:02:06.076203 : Epoch  4, Batch    129, Loss  0.572240, Average Loss  0.586828, Time  0.454037
2021-09-11 03:02:06.320791 : Epoch  3, Batch   1455, Loss  0.849331, Average Loss  0.867494, Time  0.183974
2021-09-11 03:02:07.630001 : Epoch  4, Batch    130, Loss  0.585124, Average Loss  0.586815, Time  0.231788
2021-09-11 03:02:07.932743 : Epoch  3, Batch   1456, Loss  0.873378, Average Loss  0.867389, Time  0.170222
2021-09-11 03:02:09.032821 : Epoch  1, Batch   1048, Loss  0.879537, Average Loss  0.876934, Time  0.316750
2021-09-11 03:02:09.164826 : Epoch  4, Batch    131, Loss  0.588279, Average Loss  0.586845, Time  0.254249
2021-09-11 03:02:09.539788 : Epoch  3, Batch   1457, Loss  0.864910, Average Loss  0.867401, Time  0.182936
2021-09-11 03:02:10.699328 : Epoch  4, Batch    132, Loss  0.581640, Average Loss  0.586842, Time  0.233735
2021-09-11 03:02:11.192033 : Epoch  3, Batch   1458, Loss  0.872743, Average Loss  0.867323, Time  0.172743
2021-09-11 03:02:11.737941 : Epoch  1, Batch   1049, Loss  0.871566, Average Loss  0.876679, Time  0.238978
2021-09-11 03:02:12.242882 : Epoch  4, Batch    133, Loss  0.575847, Average Loss  0.586751, Time  0.234507
2021-09-11 03:02:12.834739 : Epoch  3, Batch   1459, Loss  0.863579, Average Loss  0.867293, Time  0.175484
2021-09-11 03:02:13.814263 : Epoch  4, Batch    134, Loss  0.576614, Average Loss  0.586693, Time  0.255939
2021-09-11 03:02:14.446822 : Epoch  3, Batch   1460, Loss  0.875117, Average Loss  0.867392, Time  0.171658
2021-09-11 03:02:14.534823 : Epoch  1, Batch   1050, Loss  0.872035, Average Loss  0.876594, Time  0.250462
2021-09-11 03:02:15.325788 : Epoch  4, Batch    135, Loss  0.584932, Average Loss  0.586681, Time  0.234458
2021-09-11 03:02:16.100743 : Epoch  3, Batch   1461, Loss  0.839887, Average Loss  0.867250, Time  0.173858
2021-09-11 03:02:16.839464 : Epoch  4, Batch    136, Loss  0.582750, Average Loss  0.586594, Time  0.233219
2021-09-11 03:02:17.287880 : Epoch  1, Batch   1051, Loss  0.866996, Average Loss  0.876565, Time  0.240532
2021-09-11 03:02:17.704027 : Epoch  3, Batch   1462, Loss  0.897177, Average Loss  0.867530, Time  0.171711
2021-09-11 03:02:18.393255 : Epoch  4, Batch    137, Loss  0.588184, Average Loss  0.586548, Time  0.251934
2021-09-11 03:02:19.315835 : Epoch  3, Batch   1463, Loss  0.853528, Average Loss  0.867379, Time  0.169754
2021-09-11 03:02:20.273570 : Epoch  4, Batch    138, Loss  0.580644, Average Loss  0.586562, Time  0.449264
2021-09-11 03:02:20.313873 : Epoch  1, Batch   1052, Loss  0.855650, Average Loss  0.876566, Time  0.444954
2021-09-11 03:02:20.927744 : Epoch  3, Batch   1464, Loss  0.861346, Average Loss  0.867399, Time  0.173645
2021-09-11 03:02:21.815883 : Epoch  4, Batch    139, Loss  0.570045, Average Loss  0.586566, Time  0.236845
2021-09-11 03:02:22.569030 : Epoch  3, Batch   1465, Loss  0.881428, Average Loss  0.867472, Time  0.170414
2021-09-11 03:02:23.114037 : Epoch  1, Batch   1053, Loss  0.878558, Average Loss  0.876600, Time  0.247120
2021-09-11 03:02:24.173029 : Epoch  3, Batch   1466, Loss  0.858303, Average Loss  0.867464, Time  0.171004
2021-09-11 03:02:25.758028 : Epoch  3, Batch   1467, Loss  0.879724, Average Loss  0.867629, Time  0.169677
2021-09-11 03:02:25.770594 : Epoch  1, Batch   1054, Loss  0.871887, Average Loss  0.876529, Time  0.238137
2021-09-11 03:02:27.374036 : Epoch  3, Batch   1468, Loss  0.852554, Average Loss  0.867438, Time  0.169707
2021-09-11 03:02:28.619228 : Epoch  1, Batch   1055, Loss  0.897146, Average Loss  0.876647, Time  0.324517
2021-09-11 03:02:28.983186 : Epoch  3, Batch   1469, Loss  0.857727, Average Loss  0.867477, Time  0.170350
2021-09-11 03:02:30.601842 : Epoch  3, Batch   1470, Loss  0.847896, Average Loss  0.867356, Time  0.173015
2021-09-11 03:02:31.362888 : Epoch  1, Batch   1056, Loss  0.900319, Average Loss  0.876739, Time  0.239409
2021-09-11 03:02:32.234727 : Epoch  3, Batch   1471, Loss  0.887482, Average Loss  0.867420, Time  0.169629
2021-09-11 03:02:33.834876 : Epoch  3, Batch   1472, Loss  0.857296, Average Loss  0.867363, Time  0.173724
2021-09-11 03:02:34.042825 : Epoch  1, Batch   1057, Loss  0.890231, Average Loss  0.876833, Time  0.241424
2021-09-11 03:02:35.423988 : Epoch  3, Batch   1473, Loss  0.863631, Average Loss  0.867192, Time  0.169888
2021-09-11 03:02:36.726852 : Epoch  1, Batch   1058, Loss  0.882811, Average Loss  0.876861, Time  0.249102
2021-09-11 03:02:37.037996 : Epoch  3, Batch   1474, Loss  0.859062, Average Loss  0.867139, Time  0.169674
2021-09-11 03:02:38.687831 : Epoch  3, Batch   1475, Loss  0.857451, Average Loss  0.867070, Time  0.169931
2021-09-11 03:02:39.537753 : Epoch  1, Batch   1059, Loss  0.880397, Average Loss  0.876969, Time  0.239371
2021-09-11 03:02:40.325841 : Epoch  3, Batch   1476, Loss  0.865544, Average Loss  0.867147, Time  0.169889
2021-09-11 03:02:41.961982 : Epoch  3, Batch   1477, Loss  0.850755, Average Loss  0.866997, Time  0.169535
2021-09-11 03:02:42.248898 : Epoch  1, Batch   1060, Loss  0.901458, Average Loss  0.877095, Time  0.240354
2021-09-11 03:02:43.565232 : Epoch  3, Batch   1478, Loss  0.859977, Average Loss  0.866893, Time  0.169888
2021-09-11 03:02:44.967819 : Epoch  1, Batch   1061, Loss  0.868629, Average Loss  0.877001, Time  0.240284
2021-09-11 03:02:47.613928 : Epoch  1, Batch   1062, Loss  0.861697, Average Loss  0.876985, Time  0.240232
2021-09-11 03:02:50.385938 : Epoch  1, Batch   1063, Loss  0.882990, Average Loss  0.877166, Time  0.238401
2021-09-11 03:02:53.341899 : Epoch  1, Batch   1064, Loss  0.876102, Average Loss  0.877152, Time  0.245610
2021-09-11 03:02:56.094972 : Epoch  1, Batch   1065, Loss  0.868368, Average Loss  0.877071, Time  0.319475
2021-09-11 03:02:58.826949 : Epoch  1, Batch   1066, Loss  0.869048, Average Loss  0.876948, Time  0.320801
2021-09-11 03:03:01.578978 : Epoch  1, Batch   1067, Loss  0.858468, Average Loss  0.876888, Time  0.238832
2021-09-11 03:03:04.381729 : Epoch  1, Batch   1068, Loss  0.876253, Average Loss  0.876831, Time  0.247526
2021-09-11 03:03:07.088832 : Epoch  1, Batch   1069, Loss  0.874159, Average Loss  0.876807, Time  0.241519
2021-09-11 03:03:09.891966 : Epoch  1, Batch   1070, Loss  0.889477, Average Loss  0.877003, Time  0.239500
2021-09-11 03:03:12.622238 : Epoch  1, Batch   1071, Loss  0.872702, Average Loss  0.877089, Time  0.262785
2021-09-11 03:03:15.622203 : Epoch  1, Batch   1072, Loss  0.866317, Average Loss  0.876977, Time  0.266734
2021-09-11 03:03:18.321273 : Epoch  1, Batch   1073, Loss  0.879219, Average Loss  0.877010, Time  0.317945
2021-09-11 03:03:18.753731 : CheckPoint: Validation Loss  0.00024570, Best Loss  0.00023325
2021-09-11 03:03:20.270806 : Epoch  4, Batch    140, Loss  0.585761, Average Loss  0.586515, Time  0.232696
2021-09-11 03:03:21.027531 : Epoch  1, Batch   1074, Loss  0.865121, Average Loss  0.876914, Time  0.242141
2021-09-11 03:03:21.944851 : Epoch  4, Batch    141, Loss  0.574928, Average Loss  0.586404, Time  0.251160
2021-09-11 03:03:23.475559 : Epoch  4, Batch    142, Loss  0.582110, Average Loss  0.586336, Time  0.231746
2021-09-11 03:03:23.890827 : Epoch  1, Batch   1075, Loss  0.884257, Average Loss  0.876904, Time  0.241747
2021-09-11 03:03:25.126998 : Epoch  4, Batch    143, Loss  0.584081, Average Loss  0.586346, Time  0.234283
2021-09-11 03:03:26.847776 : Epoch  4, Batch    144, Loss  0.580898, Average Loss  0.586279, Time  0.431262
2021-09-11 03:03:26.848072 : Epoch  1, Batch   1076, Loss  0.893181, Average Loss  0.876959, Time  0.449377
2021-09-11 03:03:28.380084 : Epoch  4, Batch    145, Loss  0.567719, Average Loss  0.586166, Time  0.232663
2021-09-11 03:03:29.731933 : Epoch  1, Batch   1077, Loss  0.858516, Average Loss  0.876827, Time  0.239838
2021-09-11 03:03:30.049257 : Epoch  4, Batch    146, Loss  0.565427, Average Loss  0.586022, Time  0.251554
2021-09-11 03:03:31.720186 : Epoch  4, Batch    147, Loss  0.576887, Average Loss  0.585922, Time  0.251163
2021-09-11 03:03:32.501905 : Epoch  1, Batch   1078, Loss  0.869567, Average Loss  0.876819, Time  0.244853
2021-09-11 03:03:33.469045 : Epoch  4, Batch    148, Loss  0.587209, Average Loss  0.585952, Time  0.252462
2021-09-11 03:03:35.231716 : Epoch  4, Batch    149, Loss  0.589223, Average Loss  0.585945, Time  0.319942
2021-09-11 03:03:35.370193 : Epoch  1, Batch   1079, Loss  0.887994, Average Loss  0.876926, Time  0.259884
2021-09-11 03:03:36.782938 : Epoch  4, Batch    150, Loss  0.583119, Average Loss  0.585957, Time  0.231904
2021-09-11 03:03:38.075380 : Epoch  1, Batch   1080, Loss  0.867273, Average Loss  0.876986, Time  0.240700
2021-09-11 03:03:38.319835 : Epoch  4, Batch    151, Loss  0.566675, Average Loss  0.585909, Time  0.232907
2021-09-11 03:03:39.988789 : Epoch  4, Batch    152, Loss  0.584545, Average Loss  0.585883, Time  0.232787
2021-09-11 03:03:40.933899 : Epoch  1, Batch   1081, Loss  0.874947, Average Loss  0.876944, Time  0.241599
2021-09-11 03:03:41.503285 : Epoch  4, Batch    153, Loss  0.574147, Average Loss  0.585809, Time  0.231838
2021-09-11 03:03:43.019341 : Epoch  4, Batch    154, Loss  0.583114, Average Loss  0.585829, Time  0.231908
2021-09-11 03:03:43.726664 : Epoch  1, Batch   1082, Loss  0.882926, Average Loss  0.876914, Time  0.256341
2021-09-11 03:03:44.570930 : Epoch  4, Batch    155, Loss  0.574607, Average Loss  0.585749, Time  0.233062
2021-09-11 03:03:46.098242 : Epoch  4, Batch    156, Loss  0.576176, Average Loss  0.585725, Time  0.231886
2021-09-11 03:03:46.402411 : Epoch  1, Batch   1083, Loss  0.881865, Average Loss  0.876858, Time  0.237387
2021-09-11 03:03:47.611786 : Epoch  4, Batch    157, Loss  0.583281, Average Loss  0.585376, Time  0.231947
2021-09-11 03:03:49.334427 : Epoch  4, Batch    158, Loss  0.595887, Average Loss  0.585287, Time  0.423530
2021-09-11 03:03:49.379439 : Epoch  1, Batch   1084, Loss  0.850667, Average Loss  0.876688, Time  0.450725
2021-09-11 03:03:50.854852 : Epoch  4, Batch    159, Loss  0.571034, Average Loss  0.585029, Time  0.232560
2021-09-11 03:03:52.097910 : Epoch  1, Batch   1085, Loss  0.865741, Average Loss  0.876604, Time  0.240317
2021-09-11 03:03:52.538183 : Epoch  4, Batch    160, Loss  0.572283, Average Loss  0.584902, Time  0.251217
2021-09-11 03:03:54.059547 : Epoch  4, Batch    161, Loss  0.577661, Average Loss  0.584862, Time  0.232309
2021-09-11 03:03:54.780788 : Epoch  1, Batch   1086, Loss  0.896800, Average Loss  0.876648, Time  0.237688
2021-09-11 03:03:55.585090 : Epoch  4, Batch    162, Loss  0.592878, Average Loss  0.584749, Time  0.231943
2021-09-11 03:03:57.100766 : Epoch  4, Batch    163, Loss  0.572812, Average Loss  0.584557, Time  0.232302
2021-09-11 03:03:57.453239 : Epoch  1, Batch   1087, Loss  0.878051, Average Loss  0.876692, Time  0.237368
2021-09-11 03:03:58.699848 : Epoch  4, Batch    164, Loss  0.580968, Average Loss  0.584456, Time  0.233624
2021-09-11 03:04:00.428911 : Epoch  4, Batch    165, Loss  0.574057, Average Loss  0.584334, Time  0.449074
2021-09-11 03:04:00.481936 : Epoch  1, Batch   1088, Loss  0.865441, Average Loss  0.876682, Time  0.420934
2021-09-11 03:04:01.950894 : Epoch  4, Batch    166, Loss  0.581106, Average Loss  0.584215, Time  0.231903
2021-09-11 03:04:03.177400 : Epoch  1, Batch   1089, Loss  0.870680, Average Loss  0.876725, Time  0.237455
2021-09-11 03:04:03.487205 : Epoch  4, Batch    167, Loss  0.580008, Average Loss  0.584053, Time  0.232659
2021-09-11 03:04:05.025964 : Epoch  4, Batch    168, Loss  0.584167, Average Loss  0.583954, Time  0.233124
2021-09-11 03:04:05.941460 : Epoch  1, Batch   1090, Loss  0.866790, Average Loss  0.876585, Time  0.240889
2021-09-11 03:04:06.567572 : Epoch  4, Batch    169, Loss  0.582944, Average Loss  0.583852, Time  0.232395
2021-09-11 03:04:08.074876 : Epoch  4, Batch    170, Loss  0.584649, Average Loss  0.583804, Time  0.231953
2021-09-11 03:04:08.670931 : Epoch  1, Batch   1091, Loss  0.859333, Average Loss  0.876538, Time  0.241651
2021-09-11 03:04:09.592072 : Epoch  4, Batch    171, Loss  0.572008, Average Loss  0.583650, Time  0.232426
2021-09-11 03:04:11.108274 : Epoch  4, Batch    172, Loss  0.586393, Average Loss  0.583574, Time  0.232028
2021-09-11 03:04:11.528919 : Epoch  1, Batch   1092, Loss  0.880625, Average Loss  0.876624, Time  0.237456
2021-09-11 03:04:12.624330 : Epoch  4, Batch    173, Loss  0.582970, Average Loss  0.583578, Time  0.232234
2021-09-11 03:04:14.408774 : Epoch  4, Batch    174, Loss  0.578669, Average Loss  0.583544, Time  0.441867
2021-09-11 03:04:14.458052 : Epoch  1, Batch   1093, Loss  0.871022, Average Loss  0.876533, Time  0.398123
2021-09-11 03:04:15.941796 : Epoch  4, Batch    175, Loss  0.569405, Average Loss  0.583414, Time  0.231978
2021-09-11 03:04:17.348866 : Epoch  1, Batch   1094, Loss  0.886054, Average Loss  0.876593, Time  0.307803
2021-09-11 03:04:17.487034 : Epoch  4, Batch    176, Loss  0.578184, Average Loss  0.583412, Time  0.249572
2021-09-11 03:04:19.158832 : Epoch  4, Batch    177, Loss  0.589747, Average Loss  0.583359, Time  0.251991
2021-09-11 03:04:20.002821 : Epoch  1, Batch   1095, Loss  0.872852, Average Loss  0.876512, Time  0.237747
2021-09-11 03:04:20.823291 : Epoch  4, Batch    178, Loss  0.571349, Average Loss  0.583197, Time  0.251300
2021-09-11 03:04:22.460882 : Epoch  4, Batch    179, Loss  0.586193, Average Loss  0.583135, Time  0.233307
2021-09-11 03:04:22.743880 : Epoch  1, Batch   1096, Loss  0.882161, Average Loss  0.876457, Time  0.239157
2021-09-11 03:04:24.076217 : Epoch  4, Batch    180, Loss  0.565734, Average Loss  0.583010, Time  0.232842
2021-09-11 03:04:25.613024 : Epoch  1, Batch   1097, Loss  0.868247, Average Loss  0.876400, Time  0.383832
2021-09-11 03:04:25.685274 : Epoch  4, Batch    181, Loss  0.579638, Average Loss  0.582934, Time  0.295932
2021-09-11 03:04:27.222605 : Epoch  4, Batch    182, Loss  0.579982, Average Loss  0.582873, Time  0.231898
2021-09-11 03:04:28.327129 : Epoch  1, Batch   1098, Loss  0.905607, Average Loss  0.876616, Time  0.238327
2021-09-11 03:04:28.838990 : Epoch  4, Batch    183, Loss  0.571478, Average Loss  0.582797, Time  0.234166
2021-09-11 03:04:30.367988 : Epoch  4, Batch    184, Loss  0.575274, Average Loss  0.582764, Time  0.232377
2021-09-11 03:04:31.090532 : Epoch  1, Batch   1099, Loss  0.871161, Average Loss  0.876600, Time  0.266841
2021-09-11 03:04:31.924894 : Epoch  4, Batch    185, Loss  0.579573, Average Loss  0.582724, Time  0.231991
2021-09-11 03:04:33.430852 : Epoch  4, Batch    186, Loss  0.574671, Average Loss  0.582689, Time  0.231782
2021-09-11 03:04:33.827257 : Epoch  1, Batch   1100, Loss  0.884340, Average Loss  0.876681, Time  0.278595
2021-09-11 03:04:34.949892 : Epoch  4, Batch    187, Loss  0.591662, Average Loss  0.582712, Time  0.232476
2021-09-11 03:04:36.458954 : Epoch  4, Batch    188, Loss  0.596533, Average Loss  0.582726, Time  0.232336
2021-09-11 03:04:38.110279 : Epoch  4, Batch    189, Loss  0.585554, Average Loss  0.582651, Time  0.234180
2021-09-11 03:04:39.670943 : Epoch  4, Batch    190, Loss  0.586834, Average Loss  0.582666, Time  0.233647
2021-09-11 03:04:41.372882 : Epoch  4, Batch    191, Loss  0.580397, Average Loss  0.582718, Time  0.251221
2021-09-11 03:04:43.176734 : Epoch  4, Batch    192, Loss  0.587162, Average Loss  0.582737, Time  0.251216
2021-09-11 03:04:44.789790 : Epoch  4, Batch    193, Loss  0.571857, Average Loss  0.582661, Time  0.237092
2021-09-11 03:04:46.403016 : Epoch  4, Batch    194, Loss  0.578151, Average Loss  0.582617, Time  0.316438
2021-09-11 03:04:47.925747 : Epoch  4, Batch    195, Loss  0.578224, Average Loss  0.582573, Time  0.232331
2021-09-11 03:04:49.449777 : Epoch  4, Batch    196, Loss  0.572026, Average Loss  0.582419, Time  0.232358
2021-09-11 03:04:50.964833 : Epoch  4, Batch    197, Loss  0.576515, Average Loss  0.582415, Time  0.231810
2021-09-11 03:04:52.489605 : Epoch  4, Batch    198, Loss  0.578791, Average Loss  0.582394, Time  0.231863
2021-09-11 03:04:54.032906 : Epoch  4, Batch    199, Loss  0.581381, Average Loss  0.582368, Time  0.233308
2021-09-11 03:04:55.557258 : Epoch  4, Batch    200, Loss  0.579609, Average Loss  0.582351, Time  0.231809
2021-09-11 03:04:57.078950 : Epoch  4, Batch    201, Loss  0.569181, Average Loss  0.582238, Time  0.232067
2021-09-11 03:04:58.666184 : Epoch  4, Batch    202, Loss  0.578755, Average Loss  0.582134, Time  0.291664
2021-09-11 03:05:00.198090 : Epoch  4, Batch    203, Loss  0.576794, Average Loss  0.582130, Time  0.231959
2021-09-11 03:05:01.731875 : Epoch  4, Batch    204, Loss  0.567733, Average Loss  0.582093, Time  0.232695
2021-09-11 03:05:03.277186 : Epoch  4, Batch    205, Loss  0.563786, Average Loss  0.581941, Time  0.232935
2021-09-11 03:05:04.805241 : Epoch  4, Batch    206, Loss  0.579440, Average Loss  0.581868, Time  0.231789
2021-09-11 03:05:06.435246 : Epoch  4, Batch    207, Loss  0.573256, Average Loss  0.581734, Time  0.313147
2021-09-11 03:05:07.958440 : Epoch  4, Batch    208, Loss  0.568085, Average Loss  0.581577, Time  0.232251
2021-09-11 03:05:09.500780 : Epoch  4, Batch    209, Loss  0.580346, Average Loss  0.581574, Time  0.236165
2021-09-11 03:05:13.586093 : Epoch  4, Batch    210, Loss  0.572023, Average Loss  0.581475, Time  0.233641
2021-09-11 03:05:15.217233 : Epoch  4, Batch    211, Loss  0.571690, Average Loss  0.581387, Time  0.231768
2021-09-11 03:05:16.731889 : Epoch  4, Batch    212, Loss  0.579670, Average Loss  0.581363, Time  0.232291
2021-09-11 03:05:18.280788 : Epoch  4, Batch    213, Loss  0.576104, Average Loss  0.581317, Time  0.232423
2021-09-11 03:05:19.825613 : Epoch  4, Batch    214, Loss  0.563163, Average Loss  0.581196, Time  0.232828
2021-09-11 03:05:21.380233 : Epoch  4, Batch    215, Loss  0.575787, Average Loss  0.581212, Time  0.261830
2021-09-11 03:05:22.909390 : Epoch  4, Batch    216, Loss  0.576256, Average Loss  0.581188, Time  0.231855
2021-09-11 03:05:24.427079 : Epoch  4, Batch    217, Loss  0.570928, Average Loss  0.581139, Time  0.232289
2021-09-11 03:05:25.949037 : Epoch  4, Batch    218, Loss  0.583320, Average Loss  0.581183, Time  0.231997
2021-09-11 03:05:27.470859 : Epoch  4, Batch    219, Loss  0.590465, Average Loss  0.581254, Time  0.232230
2021-09-11 03:05:29.011141 : Epoch  4, Batch    220, Loss  0.576263, Average Loss  0.581224, Time  0.233333
2021-09-11 03:05:30.530215 : Epoch  4, Batch    221, Loss  0.580941, Average Loss  0.581208, Time  0.231710
2021-09-11 03:05:32.047870 : Epoch  4, Batch    222, Loss  0.565148, Average Loss  0.581130, Time  0.234637
2021-09-11 03:05:33.560749 : Epoch  4, Batch    223, Loss  0.576392, Average Loss  0.581009, Time  0.232980
2021-09-11 03:05:35.064017 : Epoch  4, Batch    224, Loss  0.587018, Average Loss  0.580938, Time  0.231986
2021-09-11 03:05:36.583888 : Epoch  4, Batch    225, Loss  0.581856, Average Loss  0.580887, Time  0.232007
2021-09-11 03:05:38.196156 : Epoch  4, Batch    226, Loss  0.584517, Average Loss  0.580895, Time  0.313942
2021-09-11 03:05:39.713953 : Epoch  4, Batch    227, Loss  0.577943, Average Loss  0.580842, Time  0.233718
2021-09-11 03:05:41.266468 : Epoch  4, Batch    228, Loss  0.581268, Average Loss  0.580810, Time  0.256187
2021-09-11 03:05:42.828701 : Epoch  4, Batch    229, Loss  0.576771, Average Loss  0.580819, Time  0.232465
2021-09-11 03:05:44.354080 : Epoch  4, Batch    230, Loss  0.569339, Average Loss  0.580702, Time  0.232011
2021-09-11 03:05:45.874706 : Epoch  4, Batch    231, Loss  0.578761, Average Loss  0.580754, Time  0.232116
2021-09-11 03:05:47.409622 : Epoch  4, Batch    232, Loss  0.602461, Average Loss  0.580836, Time  0.233230
2021-09-11 03:05:48.937070 : Epoch  4, Batch    233, Loss  0.591160, Average Loss  0.580858, Time  0.232167
2021-09-11 03:05:50.542157 : Epoch  4, Batch    234, Loss  0.581784, Average Loss  0.580799, Time  0.315027
2021-09-11 03:05:52.076894 : Epoch  4, Batch    235, Loss  0.569916, Average Loss  0.580726, Time  0.232365
2021-09-11 03:05:53.590804 : Epoch  4, Batch    236, Loss  0.578605, Average Loss  0.580660, Time  0.231929
2021-09-11 03:05:55.119726 : Epoch  4, Batch    237, Loss  0.578651, Average Loss  0.580591, Time  0.236182
2021-09-11 03:05:56.646941 : Epoch  4, Batch    238, Loss  0.572325, Average Loss  0.580525, Time  0.232605
2021-09-11 03:05:58.172185 : Epoch  4, Batch    239, Loss  0.562983, Average Loss  0.580438, Time  0.232355
2021-09-11 03:06:54.893927 : CheckPoint: Validation Loss  0.00024644, Best Loss  0.00023325
2021-09-11 03:06:56.446744 : Epoch  4, Batch    240, Loss  0.572231, Average Loss  0.580336, Time  0.232356
2021-09-11 03:06:58.011140 : Epoch  4, Batch    241, Loss  0.578284, Average Loss  0.580372, Time  0.253505
2021-09-11 03:06:59.515467 : Epoch  4, Batch    242, Loss  0.572003, Average Loss  0.580311, Time  0.232639
2021-09-11 03:07:01.048766 : Epoch  4, Batch    243, Loss  0.580923, Average Loss  0.580345, Time  0.234541
2021-09-11 03:07:02.643048 : Epoch  4, Batch    244, Loss  0.571948, Average Loss  0.580276, Time  0.312349
2021-09-11 03:07:04.149808 : Epoch  4, Batch    245, Loss  0.575226, Average Loss  0.580185, Time  0.231013
2021-09-11 03:07:05.651953 : Epoch  4, Batch    246, Loss  0.579557, Average Loss  0.580124, Time  0.231981
2021-09-11 03:07:07.161959 : Epoch  4, Batch    247, Loss  0.580972, Average Loss  0.580139, Time  0.237453
2021-09-11 03:07:08.689803 : Epoch  4, Batch    248, Loss  0.588630, Average Loss  0.580097, Time  0.258395
2021-09-11 03:07:10.220777 : Epoch  4, Batch    249, Loss  0.578178, Average Loss  0.580087, Time  0.232500
2021-09-11 03:07:11.731304 : Epoch  4, Batch    250, Loss  0.584855, Average Loss  0.580063, Time  0.231073
2021-09-11 03:07:13.261322 : Epoch  4, Batch    251, Loss  0.582217, Average Loss  0.580061, Time  0.231812
2021-09-11 03:07:14.872198 : Epoch  4, Batch    252, Loss  0.576602, Average Loss  0.580047, Time  0.316785
2021-09-11 03:07:16.374796 : Epoch  4, Batch    253, Loss  0.571373, Average Loss  0.579941, Time  0.231825
2021-09-11 03:07:17.984862 : Epoch  4, Batch    254, Loss  0.579868, Average Loss  0.579981, Time  0.231473
2021-09-11 03:07:19.514436 : Epoch  4, Batch    255, Loss  0.582900, Average Loss  0.580019, Time  0.233112
2021-09-11 03:07:21.028789 : Epoch  4, Batch    256, Loss  0.580394, Average Loss  0.579985, Time  0.232794
2021-09-11 03:07:22.534330 : Epoch  4, Batch    257, Loss  0.570220, Average Loss  0.579890, Time  0.231020
2021-09-11 03:07:24.024730 : CheckPoint: Validation Loss  0.00062170, Best Loss  0.00057296
2021-09-11 03:07:24.037901 : Epoch  4, Batch    258, Loss  0.579590, Average Loss  0.579877, Time  0.232974
2021-09-11 03:07:25.592632 : Epoch  4, Batch    259, Loss  0.581706, Average Loss  0.579866, Time  0.250018
2021-09-11 03:07:25.656947 : Epoch  3, Batch   1479, Loss  0.854541, Average Loss  0.866902, Time  0.178668
2021-09-11 03:07:27.124493 : Epoch  4, Batch    260, Loss  0.568999, Average Loss  0.579805, Time  0.250885
2021-09-11 03:07:27.264741 : Epoch  3, Batch   1480, Loss  0.865751, Average Loss  0.866892, Time  0.172038
2021-09-11 03:07:28.641118 : Epoch  4, Batch    261, Loss  0.567155, Average Loss  0.579668, Time  0.234670
2021-09-11 03:07:28.875001 : Epoch  3, Batch   1481, Loss  0.869414, Average Loss  0.866917, Time  0.170610
2021-09-11 03:07:30.187763 : Epoch  4, Batch    262, Loss  0.561704, Average Loss  0.579548, Time  0.250937
2021-09-11 03:07:30.484054 : Epoch  3, Batch   1482, Loss  0.894684, Average Loss  0.867052, Time  0.172266
2021-09-11 03:07:31.801482 : Epoch  4, Batch    263, Loss  0.577489, Average Loss  0.579535, Time  0.332872
2021-09-11 03:07:32.104017 : Epoch  3, Batch   1483, Loss  0.853645, Average Loss  0.867001, Time  0.170904
2021-09-11 03:07:33.455517 : Epoch  4, Batch    264, Loss  0.578871, Average Loss  0.579530, Time  0.232010
2021-09-11 03:07:33.724778 : Epoch  3, Batch   1484, Loss  0.847319, Average Loss  0.866908, Time  0.170066
2021-09-11 03:07:34.964756 : Epoch  4, Batch    265, Loss  0.575176, Average Loss  0.579503, Time  0.231519
2021-09-11 03:07:35.369025 : Epoch  3, Batch   1485, Loss  0.885047, Average Loss  0.867176, Time  0.170305
2021-09-11 03:07:36.520696 : Epoch  4, Batch    266, Loss  0.565054, Average Loss  0.579398, Time  0.264455
2021-09-11 03:07:37.021018 : Epoch  3, Batch   1486, Loss  0.879986, Average Loss  0.867217, Time  0.173402
2021-09-11 03:07:38.022962 : Epoch  4, Batch    267, Loss  0.583407, Average Loss  0.579418, Time  0.231239
2021-09-11 03:07:38.646009 : Epoch  3, Batch   1487, Loss  0.901122, Average Loss  0.867360, Time  0.171868
2021-09-11 03:07:39.532833 : Epoch  4, Batch    268, Loss  0.574377, Average Loss  0.579361, Time  0.231705
2021-09-11 03:07:40.284033 : Epoch  3, Batch   1488, Loss  0.909274, Average Loss  0.867516, Time  0.176755
2021-09-11 03:07:41.072889 : Epoch  4, Batch    269, Loss  0.576003, Average Loss  0.579281, Time  0.231867
2021-09-11 03:07:41.922036 : Epoch  3, Batch   1489, Loss  0.850901, Average Loss  0.867484, Time  0.169995
2021-09-11 03:07:42.617496 : Epoch  4, Batch    270, Loss  0.589081, Average Loss  0.579316, Time  0.231625
2021-09-11 03:07:43.567846 : Epoch  3, Batch   1490, Loss  0.877182, Average Loss  0.867662, Time  0.172341
2021-09-11 03:07:44.199778 : Epoch  4, Batch    271, Loss  0.575176, Average Loss  0.579340, Time  0.231339
2021-09-11 03:07:45.205918 : Epoch  3, Batch   1491, Loss  0.894444, Average Loss  0.867851, Time  0.173775
2021-09-11 03:07:45.720545 : Epoch  4, Batch    272, Loss  0.575008, Average Loss  0.579328, Time  0.231347
2021-09-11 03:07:46.826789 : Epoch  3, Batch   1492, Loss  0.881744, Average Loss  0.867816, Time  0.169983
2021-09-11 03:07:47.242320 : Epoch  4, Batch    273, Loss  0.588172, Average Loss  0.579313, Time  0.232785
2021-09-11 03:07:48.461001 : Epoch  3, Batch   1493, Loss  0.858231, Average Loss  0.867576, Time  0.169802
2021-09-11 03:07:48.993049 : Epoch  4, Batch    274, Loss  0.567014, Average Loss  0.579253, Time  0.315239
2021-09-11 03:07:50.073991 : Epoch  3, Batch   1494, Loss  0.855252, Average Loss  0.867466, Time  0.171991
2021-09-11 03:07:50.524366 : Epoch  4, Batch    275, Loss  0.584652, Average Loss  0.579243, Time  0.232674
2021-09-11 03:07:51.709764 : Epoch  3, Batch   1495, Loss  0.851137, Average Loss  0.867429, Time  0.169527
2021-09-11 03:07:52.078797 : Epoch  4, Batch    276, Loss  0.587387, Average Loss  0.579263, Time  0.234467
2021-09-11 03:07:53.344842 : Epoch  3, Batch   1496, Loss  0.867907, Average Loss  0.867586, Time  0.170003
2021-09-11 03:07:53.609978 : Epoch  4, Batch    277, Loss  0.579706, Average Loss  0.579212, Time  0.233874
2021-09-11 03:07:54.966983 : Epoch  3, Batch   1497, Loss  0.869395, Average Loss  0.867485, Time  0.170071
2021-09-11 03:07:55.136885 : Epoch  4, Batch    278, Loss  0.580094, Average Loss  0.579227, Time  0.232182
2021-09-11 03:07:56.596732 : Epoch  3, Batch   1498, Loss  0.843887, Average Loss  0.867258, Time  0.169913
2021-09-11 03:07:56.646936 : Epoch  4, Batch    279, Loss  0.580943, Average Loss  0.579209, Time  0.231569
2021-09-11 03:07:58.156863 : Epoch  4, Batch    280, Loss  0.579059, Average Loss  0.579201, Time  0.231829
2021-09-11 03:07:58.230811 : Epoch  3, Batch   1499, Loss  0.893023, Average Loss  0.867407, Time  0.169882
2021-09-11 03:07:59.686785 : Epoch  4, Batch    281, Loss  0.575044, Average Loss  0.579165, Time  0.231450
2021-09-11 03:07:59.862993 : Epoch  3, Batch   1500, Loss  0.882599, Average Loss  0.867443, Time  0.169985
2021-09-11 03:08:01.360874 : Epoch  4, Batch    282, Loss  0.567131, Average Loss  0.579089, Time  0.258883
2021-09-11 03:08:01.484993 : Epoch  3, Batch   1501, Loss  0.847025, Average Loss  0.867329, Time  0.169583
2021-09-11 03:08:03.132984 : Epoch  3, Batch   1502, Loss  0.861790, Average Loss  0.867158, Time  0.169766
2021-09-11 03:08:03.175077 : Epoch  4, Batch    283, Loss  0.577913, Average Loss  0.578995, Time  0.255805
2021-09-11 03:08:04.763775 : Epoch  3, Batch   1503, Loss  0.876175, Average Loss  0.867388, Time  0.170151
2021-09-11 03:08:04.840538 : Epoch  4, Batch    284, Loss  0.572022, Average Loss  0.578938, Time  0.254712
2021-09-11 03:08:06.387853 : Epoch  3, Batch   1504, Loss  0.857187, Average Loss  0.867434, Time  0.169778
2021-09-11 03:08:06.515874 : Epoch  4, Batch    285, Loss  0.581298, Average Loss  0.578969, Time  0.251408
2021-09-11 03:08:08.009997 : Epoch  3, Batch   1505, Loss  0.888385, Average Loss  0.867538, Time  0.169796
2021-09-11 03:08:08.275197 : Epoch  4, Batch    286, Loss  0.565318, Average Loss  0.578882, Time  0.333321
2021-09-11 03:08:09.615999 : Epoch  3, Batch   1506, Loss  0.881915, Average Loss  0.867612, Time  0.169714
2021-09-11 03:08:09.795193 : Epoch  4, Batch    287, Loss  0.564282, Average Loss  0.578809, Time  0.250221
2021-09-11 03:08:11.259796 : Epoch  3, Batch   1507, Loss  0.856584, Average Loss  0.867536, Time  0.170162
2021-09-11 03:08:11.299155 : Epoch  4, Batch    288, Loss  0.586865, Average Loss  0.578833, Time  0.233275
2021-09-11 03:08:12.802280 : Epoch  4, Batch    289, Loss  0.566223, Average Loss  0.578715, Time  0.231646
2021-09-11 03:08:12.876931 : Epoch  3, Batch   1508, Loss  0.859862, Average Loss  0.867580, Time  0.169972
2021-09-11 03:08:14.326705 : Epoch  4, Batch    290, Loss  0.582066, Average Loss  0.578729, Time  0.231145
2021-09-11 03:08:14.500785 : Epoch  3, Batch   1509, Loss  0.853316, Average Loss  0.867453, Time  0.169860
2021-09-11 03:08:15.839935 : Epoch  4, Batch    291, Loss  0.572465, Average Loss  0.578653, Time  0.231354
2021-09-11 03:08:16.120793 : Epoch  3, Batch   1510, Loss  0.873368, Average Loss  0.867416, Time  0.169694
2021-09-11 03:08:17.371675 : Epoch  4, Batch    292, Loss  0.574242, Average Loss  0.578672, Time  0.233230
2021-09-11 03:08:17.734747 : Epoch  3, Batch   1511, Loss  0.864007, Average Loss  0.867361, Time  0.169949
2021-09-11 03:08:18.955080 : Epoch  4, Batch    293, Loss  0.583630, Average Loss  0.578577, Time  0.232226
2021-09-11 03:08:19.364760 : Epoch  3, Batch   1512, Loss  0.867866, Average Loss  0.867328, Time  0.169538
2021-09-11 03:08:20.620122 : Epoch  4, Batch    294, Loss  0.574421, Average Loss  0.578534, Time  0.250258
2021-09-11 03:08:21.020766 : Epoch  3, Batch   1513, Loss  0.845480, Average Loss  0.867209, Time  0.170039
2021-09-11 03:08:22.125636 : Epoch  4, Batch    295, Loss  0.585775, Average Loss  0.578555, Time  0.232133
2021-09-11 03:08:22.648999 : Epoch  3, Batch   1514, Loss  0.854815, Average Loss  0.867223, Time  0.169736
2021-09-11 03:08:23.681823 : Epoch  4, Batch    296, Loss  0.577392, Average Loss  0.578529, Time  0.231432
2021-09-11 03:08:24.327737 : Epoch  3, Batch   1515, Loss  0.864100, Average Loss  0.867349, Time  0.170056
2021-09-11 03:08:25.318685 : Epoch  4, Batch    297, Loss  0.570425, Average Loss  0.578418, Time  0.312735
2021-09-11 03:08:25.962269 : Epoch  3, Batch   1516, Loss  0.873355, Average Loss  0.867550, Time  0.170003
2021-09-11 03:08:26.853886 : Epoch  4, Batch    298, Loss  0.577608, Average Loss  0.578418, Time  0.234643
2021-09-11 03:08:27.563777 : Epoch  3, Batch   1517, Loss  0.901039, Average Loss  0.867722, Time  0.171681
2021-09-11 03:08:28.364236 : Epoch  4, Batch    299, Loss  0.571421, Average Loss  0.578418, Time  0.231129
2021-09-11 03:08:29.204065 : Epoch  3, Batch   1518, Loss  0.851022, Average Loss  0.867535, Time  0.170551
2021-09-11 03:08:29.865860 : Epoch  4, Batch    300, Loss  0.570918, Average Loss  0.578390, Time  0.232008
2021-09-11 03:08:30.826052 : Epoch  3, Batch   1519, Loss  0.876226, Average Loss  0.867644, Time  0.172929
2021-09-11 03:08:31.403071 : Epoch  4, Batch    301, Loss  0.579926, Average Loss  0.578386, Time  0.232682
2021-09-11 03:08:32.436059 : Epoch  3, Batch   1520, Loss  0.847498, Average Loss  0.867591, Time  0.171015
2021-09-11 03:08:32.924007 : Epoch  4, Batch    302, Loss  0.574778, Average Loss  0.578304, Time  0.232280
2021-09-11 03:08:34.095054 : Epoch  3, Batch   1521, Loss  0.852467, Average Loss  0.867567, Time  0.171766
2021-09-11 03:08:34.444909 : Epoch  4, Batch    303, Loss  0.561972, Average Loss  0.578217, Time  0.231075
2021-09-11 03:08:35.722069 : Epoch  3, Batch   1522, Loss  0.876924, Average Loss  0.867540, Time  0.170567
2021-09-11 03:08:35.980691 : Epoch  4, Batch    304, Loss  0.572876, Average Loss  0.578179, Time  0.231180
2021-09-11 03:08:37.346831 : Epoch  3, Batch   1523, Loss  0.881946, Average Loss  0.867498, Time  0.172985
2021-09-11 03:08:37.593974 : Epoch  4, Batch    305, Loss  0.578210, Average Loss  0.578125, Time  0.331064
2021-09-11 03:08:38.963366 : Epoch  3, Batch   1524, Loss  0.842673, Average Loss  0.867377, Time  0.170864
2021-09-11 03:08:39.192846 : Epoch  4, Batch    306, Loss  0.576075, Average Loss  0.578128, Time  0.248082
2021-09-11 03:08:40.582768 : Epoch  3, Batch   1525, Loss  0.870805, Average Loss  0.867449, Time  0.171309
2021-09-11 03:08:40.753949 : Epoch  4, Batch    307, Loss  0.574292, Average Loss  0.578077, Time  0.231115
2021-09-11 03:08:42.185046 : Epoch  3, Batch   1526, Loss  0.870620, Average Loss  0.867318, Time  0.169913
2021-09-11 03:08:42.415855 : Epoch  4, Batch    308, Loss  0.561295, Average Loss  0.577979, Time  0.322260
2021-09-11 03:08:43.826780 : Epoch  3, Batch   1527, Loss  0.840802, Average Loss  0.867187, Time  0.169631
2021-09-11 03:08:44.020700 : CheckPoint: Validation Loss  0.00030495, Best Loss  0.00029681
2021-09-11 03:08:44.215132 : Epoch  4, Batch    309, Loss  0.572066, Average Loss  0.577949, Time  0.314857
2021-09-11 03:08:45.464029 : Epoch  3, Batch   1528, Loss  0.874378, Average Loss  0.867248, Time  0.174269
2021-09-11 03:08:46.646002 : Epoch  1, Batch   1101, Loss  0.859964, Average Loss  0.876606, Time  0.241800
2021-09-11 03:08:47.099028 : Epoch  3, Batch   1529, Loss  0.873685, Average Loss  0.867281, Time  0.175995
2021-09-11 03:08:48.154830 : Epoch  4, Batch    310, Loss  0.576087, Average Loss  0.577968, Time  0.231220
2021-09-11 03:08:48.736773 : Epoch  3, Batch   1530, Loss  0.878313, Average Loss  0.867382, Time  0.170961
2021-09-11 03:08:49.295087 : Epoch  1, Batch   1102, Loss  0.869333, Average Loss  0.876493, Time  0.246085
2021-09-11 03:08:49.667856 : Epoch  4, Batch    311, Loss  0.578645, Average Loss  0.577916, Time  0.232097
2021-09-11 03:08:50.362806 : Epoch  3, Batch   1531, Loss  0.879851, Average Loss  0.867366, Time  0.170422
2021-09-11 03:08:51.370335 : Epoch  4, Batch    312, Loss  0.579940, Average Loss  0.577838, Time  0.232375
2021-09-11 03:08:51.939353 : Epoch  1, Batch   1103, Loss  0.902590, Average Loss  0.876587, Time  0.245392
2021-09-11 03:08:51.979037 : Epoch  3, Batch   1532, Loss  0.841503, Average Loss  0.867195, Time  0.170067
2021-09-11 03:08:52.885817 : Epoch  4, Batch    313, Loss  0.567627, Average Loss  0.577789, Time  0.231734
2021-09-11 03:08:53.611875 : Epoch  3, Batch   1533, Loss  0.866330, Average Loss  0.867274, Time  0.169567
2021-09-11 03:08:54.722142 : Epoch  4, Batch    314, Loss  0.572995, Average Loss  0.577769, Time  0.437135
2021-09-11 03:08:54.783217 : Epoch  1, Batch   1104, Loss  0.857938, Average Loss  0.876519, Time  0.383439
2021-09-11 03:08:55.228833 : Epoch  3, Batch   1534, Loss  0.891121, Average Loss  0.867476, Time  0.170192
2021-09-11 03:08:56.252146 : Epoch  4, Batch    315, Loss  0.584413, Average Loss  0.577776, Time  0.231787
2021-09-11 03:08:56.856805 : Epoch  3, Batch   1535, Loss  0.869327, Average Loss  0.867536, Time  0.169876
2021-09-11 03:08:57.594196 : Epoch  1, Batch   1105, Loss  0.878760, Average Loss  0.876537, Time  0.276967
2021-09-11 03:08:57.802734 : Epoch  4, Batch    316, Loss  0.565366, Average Loss  0.577743, Time  0.238708
2021-09-11 03:08:58.492785 : Epoch  3, Batch   1536, Loss  0.867214, Average Loss  0.867497, Time  0.169745
2021-09-11 03:08:59.379812 : Epoch  4, Batch    317, Loss  0.568903, Average Loss  0.577685, Time  0.253370
2021-09-11 03:09:00.126741 : Epoch  3, Batch   1537, Loss  0.847977, Average Loss  0.867438, Time  0.170030
2021-09-11 03:09:00.217645 : Epoch  1, Batch   1106, Loss  0.880463, Average Loss  0.876526, Time  0.240341
2021-09-11 03:09:00.914734 : Epoch  4, Batch    318, Loss  0.581764, Average Loss  0.577760, Time  0.232085
2021-09-11 03:09:01.754998 : Epoch  3, Batch   1538, Loss  0.864036, Average Loss  0.867260, Time  0.170054
2021-09-11 03:09:02.418806 : Epoch  4, Batch    319, Loss  0.564598, Average Loss  0.577619, Time  0.231178
2021-09-11 03:09:02.876425 : Epoch  1, Batch   1107, Loss  0.876393, Average Loss  0.876441, Time  0.247760
2021-09-11 03:09:03.411790 : Epoch  3, Batch   1539, Loss  0.872745, Average Loss  0.867277, Time  0.169745
2021-09-11 03:09:03.946740 : Epoch  4, Batch    320, Loss  0.578649, Average Loss  0.577591, Time  0.231308
2021-09-11 03:09:05.047000 : Epoch  3, Batch   1540, Loss  0.863321, Average Loss  0.867324, Time  0.170046
2021-09-11 03:09:05.700379 : Epoch  1, Batch   1108, Loss  0.876496, Average Loss  0.876416, Time  0.425863
2021-09-11 03:09:05.745767 : Epoch  4, Batch    321, Loss  0.575312, Average Loss  0.577555, Time  0.360213
2021-09-11 03:09:06.674818 : Epoch  3, Batch   1541, Loss  0.862696, Average Loss  0.867343, Time  0.169725
2021-09-11 03:09:07.240181 : Epoch  4, Batch    322, Loss  0.575603, Average Loss  0.577537, Time  0.230916
2021-09-11 03:09:08.302989 : Epoch  3, Batch   1542, Loss  0.867253, Average Loss  0.867312, Time  0.169419
2021-09-11 03:09:08.332784 : Epoch  1, Batch   1109, Loss  0.875863, Average Loss  0.876388, Time  0.242317
2021-09-11 03:09:08.934297 : Epoch  4, Batch    323, Loss  0.570167, Average Loss  0.577507, Time  0.232955
2021-09-11 03:09:09.932746 : Epoch  3, Batch   1543, Loss  0.865943, Average Loss  0.867300, Time  0.172713
2021-09-11 03:09:10.491138 : Epoch  4, Batch    324, Loss  0.569218, Average Loss  0.577428, Time  0.232238
2021-09-11 03:09:10.970949 : Epoch  1, Batch   1110, Loss  0.886536, Average Loss  0.876547, Time  0.242898
2021-09-11 03:09:11.557771 : Epoch  3, Batch   1544, Loss  0.864747, Average Loss  0.867339, Time  0.169776
2021-09-11 03:09:12.085412 : Epoch  4, Batch    325, Loss  0.574350, Average Loss  0.577438, Time  0.233138
2021-09-11 03:09:13.180738 : Epoch  3, Batch   1545, Loss  0.845949, Average Loss  0.867301, Time  0.170004
2021-09-11 03:09:13.808764 : Epoch  1, Batch   1111, Loss  0.852654, Average Loss  0.876421, Time  0.447133
2021-09-11 03:09:13.858768 : Epoch  4, Batch    326, Loss  0.569040, Average Loss  0.577376, Time  0.406685
2021-09-11 03:09:14.814001 : Epoch  3, Batch   1546, Loss  0.902019, Average Loss  0.867523, Time  0.170250
2021-09-11 03:09:15.395907 : Epoch  4, Batch    327, Loss  0.580169, Average Loss  0.577411, Time  0.232283
2021-09-11 03:09:16.419790 : Epoch  3, Batch   1547, Loss  0.833714, Average Loss  0.867249, Time  0.169952
2021-09-11 03:09:16.469123 : Epoch  1, Batch   1112, Loss  0.858949, Average Loss  0.876364, Time  0.238888
2021-09-11 03:09:16.932009 : Epoch  4, Batch    328, Loss  0.595226, Average Loss  0.577459, Time  0.232150
2021-09-11 03:09:18.042008 : Epoch  3, Batch   1548, Loss  0.831178, Average Loss  0.867150, Time  0.169801
2021-09-11 03:09:18.507769 : Epoch  4, Batch    329, Loss  0.569113, Average Loss  0.577443, Time  0.234262
2021-09-11 03:09:19.100458 : Epoch  1, Batch   1113, Loss  0.884639, Average Loss  0.876416, Time  0.243648
2021-09-11 03:09:19.667993 : Epoch  3, Batch   1549, Loss  0.857727, Average Loss  0.867209, Time  0.172045
2021-09-11 03:09:20.035289 : Epoch  4, Batch    330, Loss  0.577314, Average Loss  0.577404, Time  0.232455
2021-09-11 03:09:21.284774 : Epoch  3, Batch   1550, Loss  0.890621, Average Loss  0.867273, Time  0.169576
2021-09-11 03:09:21.882751 : Epoch  4, Batch    331, Loss  0.574962, Average Loss  0.577337, Time  0.435986
2021-09-11 03:09:21.929568 : Epoch  1, Batch   1114, Loss  0.894156, Average Loss  0.876494, Time  0.384237
2021-09-11 03:09:22.903824 : Epoch  3, Batch   1551, Loss  0.891337, Average Loss  0.867420, Time  0.169909
2021-09-11 03:09:23.530341 : Epoch  4, Batch    332, Loss  0.585516, Average Loss  0.577357, Time  0.231951
2021-09-11 03:09:24.558988 : Epoch  3, Batch   1552, Loss  0.866727, Average Loss  0.867501, Time  0.169622
2021-09-11 03:09:24.571559 : Epoch  1, Batch   1115, Loss  0.877880, Average Loss  0.876541, Time  0.258193
2021-09-11 03:09:25.149644 : Epoch  4, Batch    333, Loss  0.570825, Average Loss  0.577332, Time  0.232891
2021-09-11 03:09:26.159988 : Epoch  3, Batch   1553, Loss  0.878961, Average Loss  0.867630, Time  0.169600
2021-09-11 03:09:26.688174 : Epoch  4, Batch    334, Loss  0.568018, Average Loss  0.577289, Time  0.231737
2021-09-11 03:09:27.332413 : Epoch  1, Batch   1116, Loss  0.867906, Average Loss  0.876588, Time  0.244545
2021-09-11 03:09:27.789867 : Epoch  3, Batch   1554, Loss  0.882770, Average Loss  0.867781, Time  0.170022
2021-09-11 03:09:28.221697 : Epoch  4, Batch    335, Loss  0.563740, Average Loss  0.577183, Time  0.231515
2021-09-11 03:09:29.426869 : Epoch  3, Batch   1555, Loss  0.870370, Average Loss  0.867680, Time  0.169901
2021-09-11 03:09:29.728342 : Epoch  4, Batch    336, Loss  0.573844, Average Loss  0.577138, Time  0.231589
2021-09-11 03:09:30.097906 : Epoch  1, Batch   1117, Loss  0.877713, Average Loss  0.876571, Time  0.263004
2021-09-11 03:09:31.042008 : Epoch  3, Batch   1556, Loss  0.877135, Average Loss  0.867783, Time  0.169823
2021-09-11 03:09:31.253740 : Epoch  4, Batch    337, Loss  0.588522, Average Loss  0.577140, Time  0.231993
2021-09-11 03:09:32.656738 : Epoch  3, Batch   1557, Loss  0.859628, Average Loss  0.867746, Time  0.175205
2021-09-11 03:09:32.974058 : Epoch  4, Batch    338, Loss  0.584928, Average Loss  0.577161, Time  0.447214
2021-09-11 03:09:33.022852 : Epoch  1, Batch   1118, Loss  0.862655, Average Loss  0.876466, Time  0.417497
2021-09-11 03:09:34.275063 : Epoch  3, Batch   1558, Loss  0.866923, Average Loss  0.867808, Time  0.170848
2021-09-11 03:09:34.504015 : Epoch  4, Batch    339, Loss  0.581381, Average Loss  0.577218, Time  0.232534
2021-09-11 03:09:35.745946 : Epoch  1, Batch   1119, Loss  0.876714, Average Loss  0.876422, Time  0.334967
2021-09-11 03:09:35.892992 : Epoch  3, Batch   1559, Loss  0.877658, Average Loss  0.867896, Time  0.170374
2021-09-11 03:09:37.525790 : Epoch  3, Batch   1560, Loss  0.908441, Average Loss  0.868155, Time  0.169935
2021-09-11 03:09:38.429953 : Epoch  1, Batch   1120, Loss  0.882347, Average Loss  0.876442, Time  0.287309
2021-09-11 03:09:39.160987 : Epoch  3, Batch   1561, Loss  0.884633, Average Loss  0.868190, Time  0.171991
2021-09-11 03:09:40.782044 : Epoch  3, Batch   1562, Loss  0.870584, Average Loss  0.868330, Time  0.170309
2021-09-11 03:09:41.098389 : Epoch  1, Batch   1121, Loss  0.888758, Average Loss  0.876472, Time  0.260795
2021-09-11 03:09:42.419002 : Epoch  3, Batch   1563, Loss  0.848298, Average Loss  0.868403, Time  0.169712
2021-09-11 03:09:43.737403 : Epoch  1, Batch   1122, Loss  0.846828, Average Loss  0.876203, Time  0.239995
2021-09-11 03:09:44.050991 : Epoch  3, Batch   1564, Loss  0.874740, Average Loss  0.868476, Time  0.169677
2021-09-11 03:09:45.688006 : Epoch  3, Batch   1565, Loss  0.853781, Average Loss  0.868371, Time  0.169617
2021-09-11 03:09:46.495831 : Epoch  1, Batch   1123, Loss  0.881303, Average Loss  0.876177, Time  0.242398
2021-09-11 03:09:47.316017 : Epoch  3, Batch   1566, Loss  0.908165, Average Loss  0.868558, Time  0.169800
2021-09-11 03:09:48.949982 : Epoch  3, Batch   1567, Loss  0.886243, Average Loss  0.868678, Time  0.170073
2021-09-11 03:09:49.136408 : Epoch  1, Batch   1124, Loss  0.865581, Average Loss  0.876157, Time  0.244592
2021-09-11 03:09:50.573763 : Epoch  3, Batch   1568, Loss  0.854740, Average Loss  0.868685, Time  0.169992
2021-09-11 03:09:51.801830 : Epoch  1, Batch   1125, Loss  0.885543, Average Loss  0.876217, Time  0.281352
2021-09-11 03:09:52.192996 : Epoch  3, Batch   1569, Loss  0.887741, Average Loss  0.868755, Time  0.169731
2021-09-11 03:09:53.823730 : Epoch  3, Batch   1570, Loss  0.890599, Average Loss  0.868796, Time  0.169848
2021-09-11 03:09:54.518117 : Epoch  1, Batch   1126, Loss  0.876120, Average Loss  0.876255, Time  0.260762
2021-09-11 03:09:55.438833 : Epoch  3, Batch   1571, Loss  0.868427, Average Loss  0.868721, Time  0.169504
2021-09-11 03:09:57.054032 : Epoch  3, Batch   1572, Loss  0.883968, Average Loss  0.868841, Time  0.169952
2021-09-11 03:09:57.145911 : Epoch  1, Batch   1127, Loss  0.869069, Average Loss  0.876236, Time  0.243683
2021-09-11 03:09:58.688000 : Epoch  3, Batch   1573, Loss  0.863664, Average Loss  0.868780, Time  0.169979
2021-09-11 03:09:59.785831 : Epoch  1, Batch   1128, Loss  0.880668, Average Loss  0.876266, Time  0.243589
2021-09-11 03:10:00.335990 : Epoch  3, Batch   1574, Loss  0.892161, Average Loss  0.868807, Time  0.169903
2021-09-11 03:10:01.947991 : Epoch  3, Batch   1575, Loss  0.886566, Average Loss  0.868788, Time  0.169714
2021-09-11 03:10:02.706931 : Epoch  1, Batch   1129, Loss  0.886165, Average Loss  0.876294, Time  0.244755
2021-09-11 03:10:03.583998 : Epoch  3, Batch   1576, Loss  0.898347, Average Loss  0.868928, Time  0.169952
2021-09-11 03:10:05.229989 : Epoch  3, Batch   1577, Loss  0.875377, Average Loss  0.868901, Time  0.172274
2021-09-11 03:10:05.431182 : Epoch  1, Batch   1130, Loss  0.853819, Average Loss  0.876236, Time  0.321571
2021-09-11 03:10:08.168993 : Epoch  1, Batch   1131, Loss  0.881034, Average Loss  0.876218, Time  0.322416
2021-09-11 03:10:10.886580 : Epoch  1, Batch   1132, Loss  0.868333, Average Loss  0.876236, Time  0.328757
2021-09-11 03:10:12.351007 : Epoch  3, Batch   1578, Loss  0.910293, Average Loss  0.868993, Time  0.178328
2021-09-11 03:10:13.569386 : Epoch  1, Batch   1133, Loss  0.869818, Average Loss  0.876283, Time  0.277158
2021-09-11 03:10:16.204167 : Epoch  1, Batch   1134, Loss  0.871918, Average Loss  0.876293, Time  0.241024
2021-09-11 03:10:18.890435 : Epoch  1, Batch   1135, Loss  0.855670, Average Loss  0.876089, Time  0.248976
2021-09-11 03:10:21.514804 : Epoch  1, Batch   1136, Loss  0.858065, Average Loss  0.875984, Time  0.240483
2021-09-11 03:10:24.164038 : Epoch  1, Batch   1137, Loss  0.844469, Average Loss  0.875806, Time  0.250222
2021-09-11 03:10:26.781915 : Epoch  1, Batch   1138, Loss  0.854589, Average Loss  0.875708, Time  0.240660
2021-09-11 03:10:29.432427 : Epoch  1, Batch   1139, Loss  0.865345, Average Loss  0.875647, Time  0.244931
2021-09-11 03:10:30.598859 : CheckPoint: Validation Loss  0.00024400, Best Loss  0.00023325
2021-09-11 03:10:32.330726 : Epoch  4, Batch    340, Loss  0.573304, Average Loss  0.577156, Time  0.441368
2021-09-11 03:10:32.373970 : Epoch  1, Batch   1140, Loss  0.895916, Average Loss  0.875757, Time  0.397719
2021-09-11 03:10:33.835007 : Epoch  4, Batch    341, Loss  0.571668, Average Loss  0.577139, Time  0.231058
2021-09-11 03:10:35.012824 : Epoch  1, Batch   1141, Loss  0.869819, Average Loss  0.875791, Time  0.241542
2021-09-11 03:10:35.371960 : Epoch  4, Batch    342, Loss  0.563973, Average Loss  0.577049, Time  0.238083
2021-09-11 03:10:37.008211 : Epoch  4, Batch    343, Loss  0.559530, Average Loss  0.576926, Time  0.232078
2021-09-11 03:10:37.642832 : Epoch  1, Batch   1142, Loss  0.856306, Average Loss  0.875678, Time  0.242394
2021-09-11 03:10:38.512775 : Epoch  4, Batch    344, Loss  0.561556, Average Loss  0.576829, Time  0.231302
2021-09-11 03:10:40.037012 : Epoch  4, Batch    345, Loss  0.582547, Average Loss  0.576903, Time  0.239643
2021-09-11 03:10:40.285810 : Epoch  1, Batch   1143, Loss  0.859354, Average Loss  0.875589, Time  0.243695
2021-09-11 03:10:41.723069 : Epoch  4, Batch    346, Loss  0.579757, Average Loss  0.576975, Time  0.251238
2021-09-11 03:10:42.913765 : Epoch  1, Batch   1144, Loss  0.868676, Average Loss  0.875535, Time  0.244091
2021-09-11 03:10:43.372983 : Epoch  4, Batch    347, Loss  0.581632, Average Loss  0.576999, Time  0.250490
2021-09-11 03:10:44.989037 : Epoch  4, Batch    348, Loss  0.567639, Average Loss  0.576901, Time  0.232792
2021-09-11 03:10:45.555839 : Epoch  1, Batch   1145, Loss  0.876267, Average Loss  0.875576, Time  0.243597
2021-09-11 03:10:46.528675 : Epoch  4, Batch    349, Loss  0.572373, Average Loss  0.576817, Time  0.233077
2021-09-11 03:10:48.261698 : Epoch  4, Batch    350, Loss  0.578991, Average Loss  0.576796, Time  0.420216
2021-09-11 03:10:48.308785 : Epoch  1, Batch   1146, Loss  0.877704, Average Loss  0.875621, Time  0.365420
2021-09-11 03:10:49.775951 : Epoch  4, Batch    351, Loss  0.575297, Average Loss  0.576839, Time  0.231298
2021-09-11 03:10:50.941247 : Epoch  1, Batch   1147, Loss  0.870579, Average Loss  0.875622, Time  0.243381
2021-09-11 03:10:51.285967 : Epoch  4, Batch    352, Loss  0.578716, Average Loss  0.576810, Time  0.232690
2021-09-11 03:10:52.805051 : Epoch  4, Batch    353, Loss  0.582568, Average Loss  0.576852, Time  0.232584
2021-09-11 03:10:53.557392 : Epoch  1, Batch   1148, Loss  0.877489, Average Loss  0.875510, Time  0.239386
2021-09-11 03:10:54.519770 : Epoch  4, Batch    354, Loss  0.578958, Average Loss  0.576831, Time  0.250534
2021-09-11 03:10:56.375648 : Epoch  1, Batch   1149, Loss  0.870559, Average Loss  0.875392, Time  0.368164
2021-09-11 03:10:56.430096 : Epoch  4, Batch    355, Loss  0.577751, Average Loss  0.576847, Time  0.292078
2021-09-11 03:10:57.936994 : Epoch  4, Batch    356, Loss  0.575921, Average Loss  0.576846, Time  0.231920
2021-09-11 03:10:59.030838 : Epoch  1, Batch   1150, Loss  0.869354, Average Loss  0.875272, Time  0.263246
2021-09-11 03:10:59.442786 : Epoch  4, Batch    357, Loss  0.583105, Average Loss  0.576845, Time  0.231359
2021-09-11 03:11:00.952710 : Epoch  4, Batch    358, Loss  0.579403, Average Loss  0.576762, Time  0.231640
2021-09-11 03:11:01.730863 : Epoch  1, Batch   1151, Loss  0.897378, Average Loss  0.875275, Time  0.242893
2021-09-11 03:11:02.478172 : Epoch  4, Batch    359, Loss  0.564766, Average Loss  0.576731, Time  0.232131
2021-09-11 03:11:04.152098 : Epoch  4, Batch    360, Loss  0.568140, Average Loss  0.576710, Time  0.271372
2021-09-11 03:11:04.400406 : Epoch  1, Batch   1152, Loss  0.874081, Average Loss  0.875362, Time  0.269308
2021-09-11 03:11:05.724795 : Epoch  4, Batch    361, Loss  0.573667, Average Loss  0.576690, Time  0.231257
2021-09-11 03:11:07.453398 : Epoch  1, Batch   1153, Loss  0.865416, Average Loss  0.875342, Time  0.421984
2021-09-11 03:11:07.498927 : Epoch  4, Batch    362, Loss  0.565969, Average Loss  0.576556, Time  0.463684
2021-09-11 03:11:09.124762 : Epoch  4, Batch    363, Loss  0.570331, Average Loss  0.576543, Time  0.232940
2021-09-11 03:11:10.087700 : Epoch  1, Batch   1154, Loss  0.869559, Average Loss  0.875386, Time  0.239696
2021-09-11 03:11:10.654800 : Epoch  4, Batch    364, Loss  0.570179, Average Loss  0.576490, Time  0.233411
2021-09-11 03:11:12.183322 : Epoch  4, Batch    365, Loss  0.552464, Average Loss  0.576382, Time  0.232471
2021-09-11 03:11:12.715922 : Epoch  1, Batch   1155, Loss  0.888022, Average Loss  0.875461, Time  0.242764
2021-09-11 03:11:13.715728 : Epoch  4, Batch    366, Loss  0.566728, Average Loss  0.576310, Time  0.231633
2021-09-11 03:11:15.315340 : Epoch  4, Batch    367, Loss  0.589486, Average Loss  0.576357, Time  0.319399
2021-09-11 03:11:15.493871 : Epoch  1, Batch   1156, Loss  0.903915, Average Loss  0.875731, Time  0.319870
2021-09-11 03:11:17.005206 : Epoch  4, Batch    368, Loss  0.582266, Average Loss  0.576348, Time  0.235286
2021-09-11 03:11:18.146447 : Epoch  1, Batch   1157, Loss  0.858513, Average Loss  0.875638, Time  0.259859
2021-09-11 03:11:18.540611 : Epoch  4, Batch    369, Loss  0.566549, Average Loss  0.576266, Time  0.231715
2021-09-11 03:11:20.053737 : Epoch  4, Batch    370, Loss  0.574209, Average Loss  0.576213, Time  0.231480
2021-09-11 03:11:20.803834 : Epoch  1, Batch   1158, Loss  0.879330, Average Loss  0.875700, Time  0.241621
2021-09-11 03:11:21.773002 : Epoch  4, Batch    371, Loss  0.573016, Average Loss  0.576218, Time  0.256438
2021-09-11 03:11:23.635984 : Epoch  1, Batch   1159, Loss  0.871666, Average Loss  0.875677, Time  0.427465
2021-09-11 03:11:23.681758 : Epoch  4, Batch    372, Loss  0.577973, Average Loss  0.576176, Time  0.468351
2021-09-11 03:11:25.296667 : Epoch  4, Batch    373, Loss  0.584020, Average Loss  0.576182, Time  0.292252
2021-09-11 03:11:26.250836 : Epoch  1, Batch   1160, Loss  0.887244, Average Loss  0.875734, Time  0.241047
2021-09-11 03:11:26.972085 : Epoch  4, Batch    374, Loss  0.546591, Average Loss  0.576021, Time  0.252372
2021-09-11 03:11:28.660837 : Epoch  4, Batch    375, Loss  0.577808, Average Loss  0.576063, Time  0.251641
2021-09-11 03:11:28.959851 : Epoch  1, Batch   1161, Loss  0.898910, Average Loss  0.875776, Time  0.246373
2021-09-11 03:11:30.176090 : Epoch  4, Batch    376, Loss  0.565935, Average Loss  0.576002, Time  0.250464
2021-09-11 03:11:31.754770 : Epoch  1, Batch   1162, Loss  0.888523, Average Loss  0.875754, Time  0.411230
2021-09-11 03:11:31.798096 : Epoch  4, Batch    377, Loss  0.570683, Average Loss  0.575907, Time  0.338419
2021-09-11 03:11:33.314729 : Epoch  4, Batch    378, Loss  0.561544, Average Loss  0.575858, Time  0.234257
2021-09-11 03:11:34.484530 : Epoch  1, Batch   1163, Loss  0.877826, Average Loss  0.875798, Time  0.257339
2021-09-11 03:11:34.825027 : Epoch  4, Batch    379, Loss  0.576126, Average Loss  0.575807, Time  0.232152
2021-09-11 03:11:36.332728 : Epoch  4, Batch    380, Loss  0.572533, Average Loss  0.575841, Time  0.231022
2021-09-11 03:11:37.146751 : Epoch  1, Batch   1164, Loss  0.870835, Average Loss  0.875657, Time  0.257121
2021-09-11 03:11:37.842886 : Epoch  4, Batch    381, Loss  0.565669, Average Loss  0.575771, Time  0.231144
2021-09-11 03:11:39.350629 : Epoch  4, Batch    382, Loss  0.580652, Average Loss  0.575775, Time  0.232437
2021-09-11 03:11:39.901491 : Epoch  1, Batch   1165, Loss  0.871640, Average Loss  0.875783, Time  0.264630
2021-09-11 03:11:40.963385 : Epoch  4, Batch    383, Loss  0.577770, Average Loss  0.575806, Time  0.231824
2021-09-11 03:11:42.708516 : Epoch  4, Batch    384, Loss  0.586278, Average Loss  0.575861, Time  0.440937
2021-09-11 03:11:42.758394 : Epoch  1, Batch   1166, Loss  0.887521, Average Loss  0.875856, Time  0.398479
2021-09-11 03:11:44.462064 : Epoch  4, Batch    385, Loss  0.578579, Average Loss  0.575856, Time  0.251940
2021-09-11 03:11:45.383345 : Epoch  1, Batch   1167, Loss  0.889531, Average Loss  0.875884, Time  0.241740
2021-09-11 03:11:46.114098 : Epoch  4, Batch    386, Loss  0.563407, Average Loss  0.575800, Time  0.250492
2021-09-11 03:11:47.628751 : Epoch  4, Batch    387, Loss  0.574750, Average Loss  0.575715, Time  0.231241
2021-09-11 03:11:48.022858 : Epoch  1, Batch   1168, Loss  0.869529, Average Loss  0.875878, Time  0.255878
2021-09-11 03:11:49.168529 : Epoch  4, Batch    388, Loss  0.579712, Average Loss  0.575631, Time  0.231901
2021-09-11 03:11:50.876994 : Epoch  4, Batch    389, Loss  0.588798, Average Loss  0.575648, Time  0.429598
2021-09-11 03:11:50.919485 : Epoch  1, Batch   1169, Loss  0.875145, Average Loss  0.875860, Time  0.453429
2021-09-11 03:11:52.412695 : Epoch  4, Batch    390, Loss  0.576967, Average Loss  0.575598, Time  0.231481
2021-09-11 03:11:53.877850 : Epoch  1, Batch   1170, Loss  0.874094, Average Loss  0.875927, Time  0.347730
2021-09-11 03:11:53.978725 : Epoch  4, Batch    391, Loss  0.560999, Average Loss  0.575501, Time  0.273319
2021-09-11 03:11:55.501787 : Epoch  4, Batch    392, Loss  0.566660, Average Loss  0.575399, Time  0.232667
2021-09-11 03:11:56.559038 : Epoch  1, Batch   1171, Loss  0.873318, Average Loss  0.876002, Time  0.243940
2021-09-11 03:11:57.017783 : Epoch  4, Batch    393, Loss  0.575342, Average Loss  0.575416, Time  0.232383
2021-09-11 03:11:58.523052 : Epoch  4, Batch    394, Loss  0.575033, Average Loss  0.575401, Time  0.231926
2021-09-11 03:11:59.194378 : Epoch  1, Batch   1172, Loss  0.872112, Average Loss  0.875986, Time  0.251239
2021-09-11 03:12:00.036998 : Epoch  4, Batch    395, Loss  0.561720, Average Loss  0.575318, Time  0.231700
2021-09-11 03:12:01.557199 : Epoch  4, Batch    396, Loss  0.573479, Average Loss  0.575325, Time  0.232954
2021-09-11 03:12:01.838333 : Epoch  1, Batch   1173, Loss  0.872517, Average Loss  0.876084, Time  0.241234
2021-09-11 03:12:03.080311 : Epoch  4, Batch    397, Loss  0.575272, Average Loss  0.575319, Time  0.232571
2021-09-11 03:12:04.633417 : Epoch  1, Batch   1174, Loss  0.880706, Average Loss  0.876231, Time  0.389436
2021-09-11 03:12:04.696757 : Epoch  4, Batch    398, Loss  0.579967, Average Loss  0.575325, Time  0.317863
2021-09-11 03:12:06.229750 : Epoch  4, Batch    399, Loss  0.563372, Average Loss  0.575235, Time  0.250650
2021-09-11 03:12:07.254764 : Epoch  1, Batch   1175, Loss  0.877518, Average Loss  0.876236, Time  0.240847
2021-09-11 03:12:07.917084 : Epoch  4, Batch    400, Loss  0.573821, Average Loss  0.575206, Time  0.232031
2021-09-11 03:12:09.585697 : Epoch  4, Batch    401, Loss  0.574683, Average Loss  0.575233, Time  0.250225
2021-09-11 03:12:09.896644 : Epoch  1, Batch   1176, Loss  0.877374, Average Loss  0.876140, Time  0.261572
2021-09-11 03:12:11.208864 : Epoch  4, Batch    402, Loss  0.577706, Average Loss  0.575228, Time  0.231574
2021-09-11 03:12:12.610025 : Epoch  1, Batch   1177, Loss  0.866274, Average Loss  0.876046, Time  0.316756
2021-09-11 03:12:12.747884 : Epoch  4, Batch    403, Loss  0.555869, Average Loss  0.575124, Time  0.254652
2021-09-11 03:12:14.372445 : Epoch  4, Batch    404, Loss  0.569689, Average Loss  0.575133, Time  0.231011
2021-09-11 03:12:15.253953 : Epoch  1, Batch   1178, Loss  0.881141, Average Loss  0.876118, Time  0.241744
2021-09-11 03:12:15.890843 : Epoch  4, Batch    405, Loss  0.568332, Average Loss  0.575156, Time  0.232988
2021-09-11 03:12:17.424585 : Epoch  4, Batch    406, Loss  0.560943, Average Loss  0.575064, Time  0.232981
2021-09-11 03:12:17.931138 : Epoch  1, Batch   1179, Loss  0.869067, Average Loss  0.876117, Time  0.246598
2021-09-11 03:12:19.082756 : Epoch  4, Batch    407, Loss  0.577987, Average Loss  0.575087, Time  0.233846
2021-09-11 03:12:20.819193 : Epoch  4, Batch    408, Loss  0.579512, Average Loss  0.575144, Time  0.454097
2021-09-11 03:12:20.866187 : Epoch  1, Batch   1180, Loss  0.866226, Average Loss  0.876001, Time  0.459785
2021-09-11 03:12:22.357283 : Epoch  4, Batch    409, Loss  0.581232, Average Loss  0.575149, Time  0.231439
2021-09-11 03:12:23.507424 : Epoch  1, Batch   1181, Loss  0.891207, Average Loss  0.876063, Time  0.244170
2021-09-11 03:12:26.385981 : Epoch  4, Batch    410, Loss  0.562729, Average Loss  0.575102, Time  0.442471
2021-09-11 03:12:26.434230 : Epoch  1, Batch   1182, Loss  0.874535, Average Loss  0.876026, Time  0.404452
2021-09-11 03:12:27.907292 : Epoch  4, Batch    411, Loss  0.572904, Average Loss  0.575108, Time  0.231747
2021-09-11 03:12:29.082837 : Epoch  1, Batch   1183, Loss  0.888810, Average Loss  0.876088, Time  0.248877
2021-09-11 03:12:29.427798 : Epoch  4, Batch    412, Loss  0.575993, Average Loss  0.575090, Time  0.232182
2021-09-11 03:12:30.928834 : Epoch  4, Batch    413, Loss  0.558431, Average Loss  0.575002, Time  0.231822
2021-09-11 03:12:31.778065 : Epoch  1, Batch   1184, Loss  0.884932, Average Loss  0.876124, Time  0.242841
2021-09-11 03:12:32.436105 : Epoch  4, Batch    414, Loss  0.565636, Average Loss  0.575014, Time  0.231537
2021-09-11 03:12:33.951974 : Epoch  4, Batch    415, Loss  0.568891, Average Loss  0.574980, Time  0.231593
2021-09-11 03:12:34.436798 : Epoch  1, Batch   1185, Loss  0.862433, Average Loss  0.876029, Time  0.242325
2021-09-11 03:12:35.464843 : Epoch  4, Batch    416, Loss  0.570388, Average Loss  0.574950, Time  0.231119
2021-09-11 03:12:36.969226 : Epoch  4, Batch    417, Loss  0.576800, Average Loss  0.574980, Time  0.231444
2021-09-11 03:12:37.218817 : Epoch  1, Batch   1186, Loss  0.871557, Average Loss  0.876003, Time  0.239757
2021-09-11 03:12:38.656181 : Epoch  4, Batch    418, Loss  0.572066, Average Loss  0.574923, Time  0.236956
2021-09-11 03:12:39.846527 : Epoch  1, Batch   1187, Loss  0.885389, Average Loss  0.876017, Time  0.243104
2021-09-11 03:12:40.220771 : Epoch  4, Batch    419, Loss  0.551854, Average Loss  0.574730, Time  0.234119
2021-09-11 03:12:41.728977 : Epoch  4, Batch    420, Loss  0.571236, Average Loss  0.574705, Time  0.232343
2021-09-11 03:12:42.487818 : Epoch  1, Batch   1188, Loss  0.868545, Average Loss  0.875983, Time  0.243278
2021-09-11 03:12:43.243968 : Epoch  4, Batch    421, Loss  0.570267, Average Loss  0.574652, Time  0.231674
2021-09-11 03:12:44.806951 : Epoch  4, Batch    422, Loss  0.561484, Average Loss  0.574633, Time  0.231061
2021-09-11 03:12:45.112767 : Epoch  1, Batch   1189, Loss  0.865086, Average Loss  0.875899, Time  0.244074
2021-09-11 03:12:46.316776 : Epoch  4, Batch    423, Loss  0.575515, Average Loss  0.574629, Time  0.231600
2021-09-11 03:12:47.912861 : Epoch  1, Batch   1190, Loss  0.850307, Average Loss  0.875712, Time  0.410823
2021-09-11 03:12:47.962771 : Epoch  4, Batch    424, Loss  0.570475, Average Loss  0.574546, Time  0.339432
2021-09-11 03:12:49.454023 : Epoch  4, Batch    425, Loss  0.569448, Average Loss  0.574484, Time  0.231714
2021-09-11 03:12:50.545752 : Epoch  1, Batch   1191, Loss  0.853753, Average Loss  0.875472, Time  0.241616
2021-09-11 03:12:50.994972 : Epoch  4, Batch    426, Loss  0.574595, Average Loss  0.574435, Time  0.232089
2021-09-11 03:12:52.491831 : Epoch  4, Batch    427, Loss  0.569149, Average Loss  0.574391, Time  0.231352
2021-09-11 03:12:53.172631 : Epoch  1, Batch   1192, Loss  0.851917, Average Loss  0.875428, Time  0.252733
2021-09-11 03:12:54.015776 : Epoch  4, Batch    428, Loss  0.578367, Average Loss  0.574376, Time  0.232186
2021-09-11 03:12:55.567059 : Epoch  4, Batch    429, Loss  0.561968, Average Loss  0.574302, Time  0.230945
2021-09-11 03:12:55.815375 : Epoch  1, Batch   1193, Loss  0.876341, Average Loss  0.875461, Time  0.241251
2021-09-11 03:12:57.081897 : Epoch  4, Batch    430, Loss  0.570670, Average Loss  0.574309, Time  0.234301
2021-09-11 03:12:58.575784 : Epoch  1, Batch   1194, Loss  0.862452, Average Loss  0.875346, Time  0.365913
2021-09-11 03:12:58.661184 : Epoch  4, Batch    431, Loss  0.568381, Average Loss  0.574257, Time  0.297993
2021-09-11 03:13:00.208651 : Epoch  4, Batch    432, Loss  0.571424, Average Loss  0.574102, Time  0.230932
2021-09-11 03:13:01.253866 : Epoch  1, Batch   1195, Loss  0.899436, Average Loss  0.875409, Time  0.246002
2021-09-11 03:13:01.722959 : Epoch  4, Batch    433, Loss  0.562147, Average Loss  0.573957, Time  0.231480
2021-09-11 03:13:03.252761 : Epoch  4, Batch    434, Loss  0.562056, Average Loss  0.573858, Time  0.233092
2021-09-11 03:13:03.877618 : Epoch  1, Batch   1196, Loss  0.880383, Average Loss  0.875432, Time  0.240462
2021-09-11 03:13:04.767851 : Epoch  4, Batch    435, Loss  0.585194, Average Loss  0.573934, Time  0.231761
2021-09-11 03:13:06.277720 : Epoch  4, Batch    436, Loss  0.582517, Average Loss  0.573954, Time  0.231335
2021-09-11 03:13:06.501940 : Epoch  1, Batch   1197, Loss  0.884447, Average Loss  0.875534, Time  0.245519
2021-09-11 03:13:07.780790 : Epoch  4, Batch    437, Loss  0.576064, Average Loss  0.573941, Time  0.231726
2021-09-11 03:13:09.275125 : Epoch  1, Batch   1198, Loss  0.889250, Average Loss  0.875589, Time  0.367332
2021-09-11 03:13:09.357835 : Epoch  4, Batch    438, Loss  0.577377, Average Loss  0.573966, Time  0.294235
2021-09-11 03:13:10.903774 : Epoch  4, Batch    439, Loss  0.566710, Average Loss  0.573985, Time  0.231878
2021-09-11 03:13:11.901843 : Epoch  1, Batch   1199, Loss  0.895340, Average Loss  0.875661, Time  0.245071
2021-09-11 03:13:14.616358 : Epoch  1, Batch   1200, Loss  0.873482, Average Loss  0.875552, Time  0.321740
2021-09-11 03:14:07.032739 : CheckPoint: Validation Loss  0.00023214, Best Loss  0.00023214
2021-09-11 03:14:07.083677 : Best Model Updated
2021-09-11 03:14:09.859216 : Epoch  4, Batch    440, Loss  0.569193, Average Loss  0.573970, Time  0.250352
2021-09-11 03:14:11.374327 : Epoch  4, Batch    441, Loss  0.580012, Average Loss  0.573978, Time  0.238439
2021-09-11 03:14:12.893265 : Epoch  4, Batch    442, Loss  0.566840, Average Loss  0.573953, Time  0.231144
2021-09-11 03:14:14.452678 : Epoch  4, Batch    443, Loss  0.585668, Average Loss  0.573976, Time  0.288455
2021-09-11 03:14:15.958856 : Epoch  4, Batch    444, Loss  0.568589, Average Loss  0.573960, Time  0.231501
2021-09-11 03:14:17.457761 : Epoch  4, Batch    445, Loss  0.579438, Average Loss  0.573981, Time  0.231719
2021-09-11 03:14:18.962770 : Epoch  4, Batch    446, Loss  0.575613, Average Loss  0.573961, Time  0.231220
2021-09-11 03:14:20.492783 : Epoch  4, Batch    447, Loss  0.564365, Average Loss  0.573878, Time  0.233377
2021-09-11 03:14:22.144809 : Epoch  4, Batch    448, Loss  0.567594, Average Loss  0.573773, Time  0.234425
2021-09-11 03:14:23.690707 : Epoch  4, Batch    449, Loss  0.573607, Average Loss  0.573750, Time  0.231227
2021-09-11 03:14:25.183736 : Epoch  4, Batch    450, Loss  0.568449, Average Loss  0.573668, Time  0.231075
2021-09-11 03:14:26.696959 : Epoch  4, Batch    451, Loss  0.568845, Average Loss  0.573601, Time  0.232539
2021-09-11 03:14:28.352053 : Epoch  4, Batch    452, Loss  0.563432, Average Loss  0.573535, Time  0.233151
2021-09-11 03:14:29.895394 : Epoch  4, Batch    453, Loss  0.566069, Average Loss  0.573509, Time  0.231066
2021-09-11 03:14:31.401747 : Epoch  4, Batch    454, Loss  0.560777, Average Loss  0.573413, Time  0.231016
2021-09-11 03:14:33.036865 : Epoch  4, Batch    455, Loss  0.576163, Average Loss  0.573379, Time  0.233345
2021-09-11 03:14:34.546936 : Epoch  4, Batch    456, Loss  0.587902, Average Loss  0.573417, Time  0.232441
2021-09-11 03:14:36.150779 : Epoch  4, Batch    457, Loss  0.573502, Average Loss  0.573433, Time  0.309261
2021-09-11 03:14:37.689113 : Epoch  4, Batch    458, Loss  0.572077, Average Loss  0.573396, Time  0.231223
2021-09-11 03:14:39.209608 : Epoch  4, Batch    459, Loss  0.587119, Average Loss  0.573423, Time  0.233000
2021-09-11 03:14:40.824020 : Epoch  4, Batch    460, Loss  0.583585, Average Loss  0.573496, Time  0.317519
2021-09-11 03:14:42.365311 : Epoch  4, Batch    461, Loss  0.579041, Average Loss  0.573555, Time  0.233477
2021-09-11 03:14:43.889688 : Epoch  4, Batch    462, Loss  0.573104, Average Loss  0.573612, Time  0.231328
2021-09-11 03:14:45.403892 : Epoch  4, Batch    463, Loss  0.576395, Average Loss  0.573607, Time  0.233948
2021-09-11 03:14:46.919833 : Epoch  4, Batch    464, Loss  0.573738, Average Loss  0.573581, Time  0.232482
2021-09-11 03:14:48.442360 : Epoch  4, Batch    465, Loss  0.572117, Average Loss  0.573566, Time  0.232977
2021-09-11 03:14:49.953116 : Epoch  4, Batch    466, Loss  0.561734, Average Loss  0.573549, Time  0.231639
2021-09-11 03:14:51.636788 : Epoch  4, Batch    467, Loss  0.576212, Average Loss  0.573513, Time  0.250525
2021-09-11 03:14:51.970714 : CheckPoint: Validation Loss  0.00063395, Best Loss  0.00057296
2021-09-11 03:14:53.307968 : Epoch  4, Batch    468, Loss  0.574910, Average Loss  0.573516, Time  0.250959
2021-09-11 03:14:53.593923 : Epoch  3, Batch   1579, Loss  0.885485, Average Loss  0.869200, Time  0.177687
2021-09-11 03:14:54.848990 : Epoch  4, Batch    469, Loss  0.558795, Average Loss  0.573430, Time  0.231391
2021-09-11 03:14:55.220982 : Epoch  3, Batch   1580, Loss  0.858177, Average Loss  0.869038, Time  0.170777
2021-09-11 03:14:56.359080 : Epoch  4, Batch    470, Loss  0.572686, Average Loss  0.573348, Time  0.231320
2021-09-11 03:14:56.834732 : Epoch  3, Batch   1581, Loss  0.878649, Average Loss  0.869037, Time  0.169803
2021-09-11 03:14:57.858865 : Epoch  4, Batch    471, Loss  0.575554, Average Loss  0.573350, Time  0.230937
2021-09-11 03:14:58.430008 : Epoch  3, Batch   1582, Loss  0.867077, Average Loss  0.868814, Time  0.169794
2021-09-11 03:14:59.365145 : Epoch  4, Batch    472, Loss  0.575141, Average Loss  0.573350, Time  0.231652
2021-09-11 03:15:00.021993 : Epoch  3, Batch   1583, Loss  0.893245, Average Loss  0.869073, Time  0.169751
2021-09-11 03:15:00.899935 : Epoch  4, Batch    473, Loss  0.578391, Average Loss  0.573302, Time  0.231281
2021-09-11 03:15:01.629003 : Epoch  3, Batch   1584, Loss  0.874733, Average Loss  0.869135, Time  0.169884
2021-09-11 03:15:02.506788 : Epoch  4, Batch    474, Loss  0.569357, Average Loss  0.573313, Time  0.312417
2021-09-11 03:15:03.259989 : Epoch  3, Batch   1585, Loss  0.863604, Average Loss  0.869003, Time  0.169753
2021-09-11 03:15:04.023352 : Epoch  4, Batch    475, Loss  0.578602, Average Loss  0.573283, Time  0.231896
2021-09-11 03:15:04.898000 : Epoch  3, Batch   1586, Loss  0.854140, Average Loss  0.868862, Time  0.169888
2021-09-11 03:15:05.676254 : Epoch  4, Batch    476, Loss  0.576664, Average Loss  0.573229, Time  0.250440
2021-09-11 03:15:06.515852 : Epoch  3, Batch   1587, Loss  0.888658, Average Loss  0.868835, Time  0.170178
2021-09-11 03:15:07.446804 : Epoch  4, Batch    477, Loss  0.580977, Average Loss  0.573236, Time  0.334488
2021-09-11 03:15:08.138977 : Epoch  3, Batch   1588, Loss  0.873184, Average Loss  0.868881, Time  0.169725
2021-09-11 03:15:09.129818 : Epoch  4, Batch    478, Loss  0.585278, Average Loss  0.573262, Time  0.252911
2021-09-11 03:15:09.771783 : Epoch  3, Batch   1589, Loss  0.842070, Average Loss  0.868672, Time  0.170406
2021-09-11 03:15:10.638895 : Epoch  4, Batch    479, Loss  0.582094, Average Loss  0.573267, Time  0.232393
2021-09-11 03:15:11.505022 : Epoch  3, Batch   1590, Loss  0.875511, Average Loss  0.868656, Time  0.170641
2021-09-11 03:15:12.247116 : Epoch  4, Batch    480, Loss  0.573084, Average Loss  0.573238, Time  0.313188
2021-09-11 03:15:13.124026 : Epoch  3, Batch   1591, Loss  0.862029, Average Loss  0.868739, Time  0.174945
2021-09-11 03:15:13.831751 : Epoch  4, Batch    481, Loss  0.570946, Average Loss  0.573217, Time  0.284294
2021-09-11 03:15:14.733035 : Epoch  3, Batch   1592, Loss  0.835928, Average Loss  0.868567, Time  0.170137
2021-09-11 03:15:15.505797 : Epoch  4, Batch    482, Loss  0.565702, Average Loss  0.573210, Time  0.251714
2021-09-11 03:15:16.356021 : Epoch  3, Batch   1593, Loss  0.856710, Average Loss  0.868467, Time  0.176259
2021-09-11 03:15:17.101940 : Epoch  4, Batch    483, Loss  0.567760, Average Loss  0.573159, Time  0.313485
2021-09-11 03:15:17.966029 : Epoch  3, Batch   1594, Loss  0.862271, Average Loss  0.868434, Time  0.170063
2021-09-11 03:15:18.616503 : Epoch  4, Batch    484, Loss  0.565074, Average Loss  0.573124, Time  0.233634
2021-09-11 03:15:19.577843 : Epoch  3, Batch   1595, Loss  0.852901, Average Loss  0.868356, Time  0.169671
2021-09-11 03:15:20.131708 : Epoch  4, Batch    485, Loss  0.577662, Average Loss  0.573106, Time  0.231975
2021-09-11 03:15:21.186041 : Epoch  3, Batch   1596, Loss  0.833979, Average Loss  0.868205, Time  0.170726
2021-09-11 03:15:21.743256 : Epoch  4, Batch    486, Loss  0.583562, Average Loss  0.573197, Time  0.236534
2021-09-11 03:15:22.796062 : Epoch  3, Batch   1597, Loss  0.876389, Average Loss  0.868255, Time  0.170284
2021-09-11 03:15:23.364989 : Epoch  4, Batch    487, Loss  0.562495, Average Loss  0.573188, Time  0.231927
2021-09-11 03:15:24.402078 : Epoch  3, Batch   1598, Loss  0.903059, Average Loss  0.868432, Time  0.170387
2021-09-11 03:15:24.871844 : Epoch  4, Batch    488, Loss  0.578033, Average Loss  0.573144, Time  0.232130
2021-09-11 03:15:26.014758 : Epoch  3, Batch   1599, Loss  0.887558, Average Loss  0.868734, Time  0.170590
2021-09-11 03:15:26.380794 : Epoch  4, Batch    489, Loss  0.569838, Average Loss  0.573162, Time  0.231451
2021-09-11 03:15:27.622997 : Epoch  3, Batch   1600, Loss  0.917974, Average Loss  0.869078, Time  0.169669
2021-09-11 03:15:27.894649 : Epoch  4, Batch    490, Loss  0.562115, Average Loss  0.573063, Time  0.233209
2021-09-11 03:15:29.228789 : Epoch  3, Batch   1601, Loss  0.888574, Average Loss  0.869145, Time  0.169833
2021-09-11 03:15:29.470099 : Epoch  4, Batch    491, Loss  0.578038, Average Loss  0.573091, Time  0.231879
2021-09-11 03:15:30.858996 : Epoch  3, Batch   1602, Loss  0.835178, Average Loss  0.869050, Time  0.171975
2021-09-11 03:15:31.122808 : Epoch  4, Batch    492, Loss  0.567013, Average Loss  0.573054, Time  0.249997
2021-09-11 03:15:32.489771 : Epoch  3, Batch   1603, Loss  0.878550, Average Loss  0.869185, Time  0.169872
2021-09-11 03:15:32.874722 : Epoch  4, Batch    493, Loss  0.556321, Average Loss  0.572918, Time  0.250174
2021-09-11 03:15:34.107978 : Epoch  3, Batch   1604, Loss  0.898994, Average Loss  0.869161, Time  0.169837
2021-09-11 03:15:34.550281 : Epoch  4, Batch    494, Loss  0.564994, Average Loss  0.572871, Time  0.252928
2021-09-11 03:15:35.723855 : Epoch  3, Batch   1605, Loss  0.869003, Average Loss  0.869210, Time  0.169671
2021-09-11 03:15:36.063712 : Epoch  4, Batch    495, Loss  0.576983, Average Loss  0.572827, Time  0.233436
2021-09-11 03:15:37.332995 : Epoch  3, Batch   1606, Loss  0.888374, Average Loss  0.869281, Time  0.169644
2021-09-11 03:15:37.571781 : Epoch  4, Batch    496, Loss  0.573934, Average Loss  0.572809, Time  0.231273
2021-09-11 03:15:38.938935 : Epoch  3, Batch   1607, Loss  0.859900, Average Loss  0.869225, Time  0.169741
2021-09-11 03:15:39.078407 : Epoch  4, Batch    497, Loss  0.548017, Average Loss  0.572697, Time  0.231150
2021-09-11 03:15:40.557739 : Epoch  3, Batch   1608, Loss  0.850402, Average Loss  0.869068, Time  0.169826
2021-09-11 03:15:40.592777 : Epoch  4, Batch    498, Loss  0.579581, Average Loss  0.572707, Time  0.232903
2021-09-11 03:15:42.104958 : Epoch  4, Batch    499, Loss  0.579372, Average Loss  0.572747, Time  0.232660
2021-09-11 03:15:42.186844 : Epoch  3, Batch   1609, Loss  0.890045, Average Loss  0.869118, Time  0.169604
2021-09-11 03:15:43.705967 : Epoch  4, Batch    500, Loss  0.571914, Average Loss  0.572752, Time  0.317640
2021-09-11 03:15:43.805991 : Epoch  3, Batch   1610, Loss  0.870667, Average Loss  0.868989, Time  0.171842
2021-09-11 03:15:45.217691 : Epoch  4, Batch    501, Loss  0.567026, Average Loss  0.572687, Time  0.230876
2021-09-11 03:15:45.426788 : Epoch  3, Batch   1611, Loss  0.868652, Average Loss  0.869015, Time  0.169921
2021-09-11 03:15:46.902809 : Epoch  4, Batch    502, Loss  0.570695, Average Loss  0.572667, Time  0.250376
2021-09-11 03:15:47.040775 : Epoch  3, Batch   1612, Loss  0.871697, Average Loss  0.869002, Time  0.170059
2021-09-11 03:15:48.427500 : Epoch  4, Batch    503, Loss  0.577387, Average Loss  0.572744, Time  0.246785
2021-09-11 03:15:48.659743 : Epoch  3, Batch   1613, Loss  0.890354, Average Loss  0.869158, Time  0.169878
2021-09-11 03:15:49.939933 : Epoch  4, Batch    504, Loss  0.582003, Average Loss  0.572790, Time  0.232005
2021-09-11 03:15:50.286807 : Epoch  3, Batch   1614, Loss  0.884093, Average Loss  0.869384, Time  0.169354
2021-09-11 03:15:51.464134 : Epoch  4, Batch    505, Loss  0.561932, Average Loss  0.572708, Time  0.232568
2021-09-11 03:15:51.908796 : Epoch  3, Batch   1615, Loss  0.889927, Average Loss  0.869568, Time  0.169613
2021-09-11 03:15:52.966735 : Epoch  4, Batch    506, Loss  0.568381, Average Loss  0.572670, Time  0.231216
2021-09-11 03:15:53.577837 : Epoch  3, Batch   1616, Loss  0.856119, Average Loss  0.869464, Time  0.169778
2021-09-11 03:15:54.471278 : Epoch  4, Batch    507, Loss  0.566262, Average Loss  0.572630, Time  0.231272
2021-09-11 03:15:55.208747 : Epoch  3, Batch   1617, Loss  0.853269, Average Loss  0.869250, Time  0.169776
2021-09-11 03:15:55.970849 : Epoch  4, Batch    508, Loss  0.574809, Average Loss  0.572697, Time  0.231550
2021-09-11 03:15:56.846823 : Epoch  3, Batch   1618, Loss  0.866829, Average Loss  0.869132, Time  0.169682
2021-09-11 03:15:57.477168 : Epoch  4, Batch    509, Loss  0.572552, Average Loss  0.572700, Time  0.231254
2021-09-11 03:15:58.470977 : Epoch  3, Batch   1619, Loss  0.896508, Average Loss  0.869257, Time  0.169547
2021-09-11 03:16:00.075759 : Epoch  3, Batch   1620, Loss  0.839363, Average Loss  0.869091, Time  0.177371
2021-09-11 03:16:01.695805 : Epoch  3, Batch   1621, Loss  0.887455, Average Loss  0.869214, Time  0.173290
2021-09-11 03:16:03.178874 : Epoch  4, Batch    511, Loss  0.582842, Average Loss  0.572712, Time  0.231573
2021-09-11 03:16:03.316793 : Epoch  3, Batch   1622, Loss  0.876947, Average Loss  0.869404, Time  0.170132
2021-09-11 03:16:04.677092 : Epoch  4, Batch    512, Loss  0.567417, Average Loss  0.572650, Time  0.230947
2021-09-11 03:16:04.943841 : Epoch  3, Batch   1623, Loss  0.876845, Average Loss  0.869519, Time  0.176343
2021-09-11 03:16:06.176879 : Epoch  4, Batch    513, Loss  0.574582, Average Loss  0.572684, Time  0.231897
2021-09-11 03:16:06.605756 : Epoch  3, Batch   1624, Loss  0.848637, Average Loss  0.869369, Time  0.171097
2021-09-11 03:16:07.881981 : Epoch  4, Batch    514, Loss  0.567585, Average Loss  0.572657, Time  0.314152
2021-09-11 03:16:08.225859 : Epoch  3, Batch   1625, Loss  0.876921, Average Loss  0.869452, Time  0.170437
2021-09-11 03:16:09.566024 : Epoch  4, Batch    515, Loss  0.563178, Average Loss  0.572551, Time  0.251280
2021-09-11 03:16:09.855813 : Epoch  3, Batch   1626, Loss  0.867739, Average Loss  0.869511, Time  0.170082
2021-09-11 03:16:11.123819 : Epoch  4, Batch    516, Loss  0.576726, Average Loss  0.572608, Time  0.232951
2021-09-11 03:16:11.471734 : Epoch  3, Batch   1627, Loss  0.889064, Average Loss  0.869589, Time  0.176686
2021-09-11 03:16:12.713837 : Epoch  4, Batch    517, Loss  0.582494, Average Loss  0.572676, Time  0.312998
2021-09-11 03:16:13.079018 : Epoch  3, Batch   1628, Loss  0.869063, Average Loss  0.869551, Time  0.170369
2021-09-11 03:16:14.278695 : Epoch  4, Batch    518, Loss  0.570701, Average Loss  0.572621, Time  0.236159
2021-09-11 03:16:14.708851 : Epoch  3, Batch   1629, Loss  0.867139, Average Loss  0.869477, Time  0.171312
2021-09-11 03:16:15.790181 : Epoch  4, Batch    519, Loss  0.561957, Average Loss  0.572607, Time  0.232778
2021-09-11 03:16:16.350820 : Epoch  3, Batch   1630, Loss  0.895033, Average Loss  0.869524, Time  0.177985
2021-09-11 03:16:17.477214 : Epoch  4, Batch    520, Loss  0.571852, Average Loss  0.572574, Time  0.312783
2021-09-11 03:16:17.978842 : Epoch  3, Batch   1631, Loss  0.896535, Average Loss  0.869648, Time  0.174798
2021-09-11 03:16:18.998822 : Epoch  4, Batch    521, Loss  0.575086, Average Loss  0.572572, Time  0.232701
2021-09-11 03:16:19.581768 : Epoch  3, Batch   1632, Loss  0.898041, Average Loss  0.869747, Time  0.169801
2021-09-11 03:16:20.536031 : Epoch  4, Batch    522, Loss  0.573462, Average Loss  0.572562, Time  0.232337
2021-09-11 03:16:21.190029 : Epoch  3, Batch   1633, Loss  0.885512, Average Loss  0.869965, Time  0.170504
2021-09-11 03:16:22.057273 : Epoch  4, Batch    523, Loss  0.568799, Average Loss  0.572555, Time  0.235192
2021-09-11 03:16:22.771263 : Epoch  3, Batch   1634, Loss  0.851443, Average Loss  0.869813, Time  0.169943
2021-09-11 03:16:23.570873 : Epoch  4, Batch    524, Loss  0.576638, Average Loss  0.572592, Time  0.231192
2021-09-11 03:16:24.398016 : Epoch  3, Batch   1635, Loss  0.914993, Average Loss  0.870169, Time  0.180774
2021-09-11 03:16:25.203777 : Epoch  4, Batch    525, Loss  0.558363, Average Loss  0.572512, Time  0.231820
2021-09-11 03:16:26.002820 : Epoch  3, Batch   1636, Loss  0.868906, Average Loss  0.870316, Time  0.171276
2021-09-11 03:16:26.732899 : Epoch  4, Batch    526, Loss  0.575863, Average Loss  0.572546, Time  0.231073
2021-09-11 03:16:27.620041 : Epoch  3, Batch   1637, Loss  0.845174, Average Loss  0.870205, Time  0.177725
2021-09-11 03:16:28.308031 : Epoch  4, Batch    527, Loss  0.572089, Average Loss  0.572506, Time  0.255403
2021-09-11 03:16:29.275036 : Epoch  3, Batch   1638, Loss  0.898411, Average Loss  0.870337, Time  0.170101
2021-09-11 03:16:29.837724 : Epoch  4, Batch    528, Loss  0.568542, Average Loss  0.572372, Time  0.232114
2021-09-11 03:16:30.901743 : Epoch  3, Batch   1639, Loss  0.863554, Average Loss  0.870343, Time  0.171479
2021-09-11 03:16:31.348708 : Epoch  4, Batch    529, Loss  0.563829, Average Loss  0.572346, Time  0.231184
2021-09-11 03:16:32.537037 : Epoch  3, Batch   1640, Loss  0.866435, Average Loss  0.870455, Time  0.178840
2021-09-11 03:16:33.096007 : Epoch  4, Batch    530, Loss  0.575537, Average Loss  0.572337, Time  0.265389
2021-09-11 03:16:34.180026 : Epoch  3, Batch   1641, Loss  0.886514, Average Loss  0.870578, Time  0.187531
2021-09-11 03:16:34.832046 : Epoch  4, Batch    531, Loss  0.572565, Average Loss  0.572325, Time  0.250881
2021-09-11 03:16:35.787034 : Epoch  3, Batch   1642, Loss  0.854355, Average Loss  0.870592, Time  0.170081
2021-09-11 03:16:36.336319 : Epoch  4, Batch    532, Loss  0.575646, Average Loss  0.572276, Time  0.230978
2021-09-11 03:16:37.421023 : Epoch  3, Batch   1643, Loss  0.850052, Average Loss  0.870340, Time  0.170412
2021-09-11 03:16:37.917491 : Epoch  4, Batch    533, Loss  0.568501, Average Loss  0.572264, Time  0.233043
2021-09-11 03:16:39.027033 : Epoch  3, Batch   1644, Loss  0.891562, Average Loss  0.870542, Time  0.170129
2021-09-11 03:16:39.420675 : Epoch  4, Batch    534, Loss  0.561780, Average Loss  0.572233, Time  0.231276
2021-09-11 03:16:40.645044 : Epoch  3, Batch   1645, Loss  0.847271, Average Loss  0.870533, Time  0.174348
2021-09-11 03:16:40.951765 : Epoch  4, Batch    535, Loss  0.571387, Average Loss  0.572271, Time  0.231190
2021-09-11 03:16:42.288028 : Epoch  3, Batch   1646, Loss  0.860251, Average Loss  0.870440, Time  0.169961
2021-09-11 03:16:42.469057 : Epoch  4, Batch    536, Loss  0.568431, Average Loss  0.572244, Time  0.233090
2021-09-11 03:16:43.909748 : Epoch  3, Batch   1647, Loss  0.874264, Average Loss  0.870513, Time  0.172601
2021-09-11 03:16:43.993791 : Epoch  4, Batch    537, Loss  0.584302, Average Loss  0.572223, Time  0.234581
2021-09-11 03:16:45.523808 : Epoch  3, Batch   1648, Loss  0.856948, Average Loss  0.870472, Time  0.173382
2021-09-11 03:16:45.589790 : Epoch  4, Batch    538, Loss  0.579671, Average Loss  0.572197, Time  0.231992
2021-09-11 03:16:47.146038 : Epoch  3, Batch   1649, Loss  0.882643, Average Loss  0.870358, Time  0.170149
2021-09-11 03:16:48.802029 : Epoch  3, Batch   1650, Loss  0.849094, Average Loss  0.870309, Time  0.179436
2021-09-11 03:16:50.448031 : Epoch  3, Batch   1651, Loss  0.844337, Average Loss  0.870107, Time  0.178303
2021-09-11 03:16:52.063029 : Epoch  3, Batch   1652, Loss  0.860395, Average Loss  0.869857, Time  0.169784
2021-09-11 03:16:53.661694 : Epoch  3, Batch   1653, Loss  0.884226, Average Loss  0.870016, Time  0.169832
2021-09-11 03:16:55.281995 : Epoch  3, Batch   1654, Loss  0.866814, Average Loss  0.870129, Time  0.170129
2021-09-11 03:16:56.909011 : Epoch  3, Batch   1655, Loss  0.903357, Average Loss  0.870400, Time  0.169404
2021-09-11 03:16:58.520003 : Epoch  3, Batch   1656, Loss  0.868602, Average Loss  0.870376, Time  0.169748
2021-09-11 03:17:00.127992 : Epoch  3, Batch   1657, Loss  0.886641, Average Loss  0.870484, Time  0.169558
2021-09-11 03:17:01.750998 : Epoch  3, Batch   1658, Loss  0.863150, Average Loss  0.870436, Time  0.169937
2021-09-11 03:17:03.375001 : Epoch  3, Batch   1659, Loss  0.873789, Average Loss  0.870487, Time  0.169768
2021-09-11 03:17:05.021033 : Epoch  3, Batch   1660, Loss  0.871445, Average Loss  0.870469, Time  0.175938
2021-09-11 03:17:06.628993 : Epoch  3, Batch   1661, Loss  0.849203, Average Loss  0.870516, Time  0.169685
2021-09-11 03:17:08.239770 : Epoch  3, Batch   1662, Loss  0.837208, Average Loss  0.870216, Time  0.169580
2021-09-11 03:17:09.861997 : Epoch  3, Batch   1663, Loss  0.864967, Average Loss  0.870273, Time  0.169605
2021-09-11 03:17:11.504991 : Epoch  3, Batch   1664, Loss  0.878851, Average Loss  0.870361, Time  0.169621
2021-09-11 03:17:13.130005 : Epoch  3, Batch   1665, Loss  0.881522, Average Loss  0.870361, Time  0.170105
2021-09-11 03:17:14.734995 : Epoch  3, Batch   1666, Loss  0.895830, Average Loss  0.870549, Time  0.169774
2021-09-11 03:17:16.380745 : Epoch  3, Batch   1667, Loss  0.840341, Average Loss  0.870352, Time  0.169880
2021-09-11 03:17:18.054985 : Epoch  3, Batch   1668, Loss  0.871741, Average Loss  0.870448, Time  0.170122
2021-09-11 03:17:19.662766 : Epoch  3, Batch   1669, Loss  0.865119, Average Loss  0.870485, Time  0.176997
2021-09-11 03:17:21.281035 : Epoch  3, Batch   1670, Loss  0.873294, Average Loss  0.870612, Time  0.170242
2021-09-11 03:17:22.867172 : Epoch  3, Batch   1671, Loss  0.840078, Average Loss  0.870375, Time  0.173357
2021-09-11 03:17:23.668682 : CheckPoint: Validation Loss  0.00030048, Best Loss  0.00029681
2021-09-11 03:17:24.491031 : Epoch  3, Batch   1672, Loss  0.881445, Average Loss  0.870495, Time  0.178559
2021-09-11 03:17:26.118028 : Epoch  3, Batch   1673, Loss  0.899935, Average Loss  0.870677, Time  0.181412
2021-09-11 03:17:26.267808 : Epoch  1, Batch   1201, Loss  0.883382, Average Loss  0.875665, Time  0.240361
2021-09-11 03:17:27.748903 : Epoch  3, Batch   1674, Loss  0.864019, Average Loss  0.870702, Time  0.178059
2021-09-11 03:17:28.926953 : Epoch  1, Batch   1202, Loss  0.876817, Average Loss  0.875755, Time  0.287127
2021-09-11 03:17:29.362777 : Epoch  3, Batch   1675, Loss  0.856098, Average Loss  0.870695, Time  0.173587
2021-09-11 03:17:30.963026 : Epoch  3, Batch   1676, Loss  0.859238, Average Loss  0.870663, Time  0.170304
2021-09-11 03:17:31.545863 : Epoch  1, Batch   1203, Loss  0.885031, Average Loss  0.875830, Time  0.247506
2021-09-11 03:17:32.584769 : Epoch  3, Batch   1677, Loss  0.889436, Average Loss  0.870857, Time  0.169904
2021-09-11 03:17:34.160748 : Epoch  1, Batch   1204, Loss  0.859455, Average Loss  0.875785, Time  0.241389
2021-09-11 03:17:34.206005 : Epoch  3, Batch   1678, Loss  0.855539, Average Loss  0.870835, Time  0.170330
2021-09-11 03:17:36.793803 : Epoch  1, Batch   1205, Loss  0.871451, Average Loss  0.875769, Time  0.245808
2021-09-11 03:17:39.414817 : Epoch  1, Batch   1206, Loss  0.878309, Average Loss  0.875917, Time  0.240948
2021-09-11 03:17:42.111840 : Epoch  1, Batch   1207, Loss  0.854567, Average Loss  0.875804, Time  0.240667
2021-09-11 03:17:43.133701 : CheckPoint: Validation Loss  0.00024155, Best Loss  0.00023214
2021-09-11 03:17:44.933341 : Epoch  1, Batch   1208, Loss  0.837153, Average Loss  0.875623, Time  0.453073
2021-09-11 03:17:44.982325 : Epoch  4, Batch    540, Loss  0.569539, Average Loss  0.572113, Time  0.435218
2021-09-11 03:17:46.570000 : Epoch  4, Batch    541, Loss  0.569388, Average Loss  0.572101, Time  0.232185
2021-09-11 03:17:47.553290 : Epoch  1, Batch   1209, Loss  0.870556, Average Loss  0.875570, Time  0.242821
2021-09-11 03:17:48.229704 : Epoch  4, Batch    542, Loss  0.561763, Average Loss  0.572090, Time  0.249868
2021-09-11 03:17:49.860821 : Epoch  4, Batch    543, Loss  0.561083, Average Loss  0.572098, Time  0.232079
2021-09-11 03:17:50.190197 : Epoch  1, Batch   1210, Loss  0.880449, Average Loss  0.875481, Time  0.266961
2021-09-11 03:17:51.363784 : Epoch  4, Batch    544, Loss  0.580223, Average Loss  0.572191, Time  0.231456
2021-09-11 03:17:52.991730 : Epoch  1, Batch   1211, Loss  0.873510, Average Loss  0.875341, Time  0.429507
2021-09-11 03:17:53.036757 : Epoch  4, Batch    545, Loss  0.570166, Average Loss  0.572130, Time  0.360690
2021-09-11 03:17:54.542809 : Epoch  4, Batch    546, Loss  0.581377, Average Loss  0.572138, Time  0.231925
2021-09-11 03:17:55.602822 : Epoch  1, Batch   1212, Loss  0.852682, Average Loss  0.875243, Time  0.248494
2021-09-11 03:17:56.041799 : Epoch  4, Batch    547, Loss  0.581517, Average Loss  0.572137, Time  0.232242
2021-09-11 03:17:57.623501 : Epoch  4, Batch    548, Loss  0.574018, Average Loss  0.572169, Time  0.250496
2021-09-11 03:17:58.258418 : Epoch  1, Batch   1213, Loss  0.861499, Average Loss  0.875176, Time  0.266379
2021-09-11 03:17:59.318793 : Epoch  4, Batch    549, Loss  0.580521, Average Loss  0.572210, Time  0.233674
2021-09-11 03:18:01.074263 : Epoch  1, Batch   1214, Loss  0.871610, Average Loss  0.875223, Time  0.433130
2021-09-11 03:18:01.113866 : Epoch  4, Batch    550, Loss  0.575607, Average Loss  0.572193, Time  0.383482
2021-09-11 03:18:02.665846 : Epoch  4, Batch    551, Loss  0.566345, Average Loss  0.572148, Time  0.236902
2021-09-11 03:18:03.707926 : Epoch  1, Batch   1215, Loss  0.893218, Average Loss  0.875219, Time  0.262142
2021-09-11 03:18:04.185015 : Epoch  4, Batch    552, Loss  0.574692, Average Loss  0.572128, Time  0.232206
2021-09-11 03:18:05.714271 : Epoch  4, Batch    553, Loss  0.560854, Average Loss  0.572019, Time  0.239702
2021-09-11 03:18:06.456236 : Epoch  1, Batch   1216, Loss  0.873530, Average Loss  0.875155, Time  0.281906
2021-09-11 03:18:07.231978 : Epoch  4, Batch    554, Loss  0.572361, Average Loss  0.571986, Time  0.231053
2021-09-11 03:18:08.753067 : Epoch  4, Batch    555, Loss  0.567673, Average Loss  0.571936, Time  0.235559
2021-09-11 03:18:09.137773 : Epoch  1, Batch   1217, Loss  0.873761, Average Loss  0.875032, Time  0.240881
2021-09-11 03:18:10.279803 : Epoch  4, Batch    556, Loss  0.571777, Average Loss  0.571915, Time  0.231190
2021-09-11 03:18:11.954183 : Epoch  1, Batch   1218, Loss  0.883679, Average Loss  0.875119, Time  0.451515
2021-09-11 03:18:11.994828 : Epoch  4, Batch    557, Loss  0.577650, Average Loss  0.571888, Time  0.411692
2021-09-11 03:18:13.610796 : Epoch  4, Batch    558, Loss  0.570325, Average Loss  0.571843, Time  0.231268
2021-09-11 03:18:14.708407 : Epoch  1, Batch   1219, Loss  0.875331, Average Loss  0.875143, Time  0.270479
2021-09-11 03:18:15.163990 : Epoch  4, Batch    559, Loss  0.555729, Average Loss  0.571797, Time  0.236103
2021-09-11 03:18:16.707665 : Epoch  4, Batch    560, Loss  0.563665, Average Loss  0.571775, Time  0.249260
2021-09-11 03:18:17.328824 : Epoch  1, Batch   1220, Loss  0.895711, Average Loss  0.875212, Time  0.241915
2021-09-11 03:18:18.207757 : Epoch  4, Batch    561, Loss  0.575387, Average Loss  0.571784, Time  0.230726
2021-09-11 03:18:19.706757 : Epoch  4, Batch    562, Loss  0.577778, Average Loss  0.571843, Time  0.231640
2021-09-11 03:18:19.933238 : Epoch  1, Batch   1221, Loss  0.896115, Average Loss  0.875278, Time  0.242318
2021-09-11 03:18:21.230740 : Epoch  4, Batch    563, Loss  0.569406, Average Loss  0.571838, Time  0.231371
2021-09-11 03:18:22.599551 : Epoch  1, Batch   1222, Loss  0.863602, Average Loss  0.875223, Time  0.299247
2021-09-11 03:18:22.745046 : Epoch  4, Batch    564, Loss  0.567286, Average Loss  0.571824, Time  0.247718
2021-09-11 03:18:24.292761 : Epoch  4, Batch    565, Loss  0.564146, Average Loss  0.571882, Time  0.232624
2021-09-11 03:18:25.296343 : Epoch  1, Batch   1223, Loss  0.863663, Average Loss  0.875126, Time  0.264636
2021-09-11 03:18:25.821124 : Epoch  4, Batch    566, Loss  0.568027, Average Loss  0.571888, Time  0.231613
2021-09-11 03:18:27.355922 : Epoch  4, Batch    567, Loss  0.564681, Average Loss  0.571764, Time  0.231067
2021-09-11 03:18:27.989985 : Epoch  1, Batch   1224, Loss  0.858779, Average Loss  0.875042, Time  0.245029
2021-09-11 03:18:29.101846 : Epoch  4, Batch    568, Loss  0.559180, Average Loss  0.571649, Time  0.233072
2021-09-11 03:18:30.841784 : Epoch  1, Batch   1225, Loss  0.884767, Average Loss  0.875235, Time  0.449028
2021-09-11 03:18:30.879938 : Epoch  4, Batch    569, Loss  0.557626, Average Loss  0.571604, Time  0.470155
2021-09-11 03:18:32.537038 : Epoch  4, Batch    570, Loss  0.575952, Average Loss  0.571613, Time  0.252957
2021-09-11 03:18:33.472829 : Epoch  1, Batch   1226, Loss  0.848693, Average Loss  0.875197, Time  0.246564
2021-09-11 03:18:34.250784 : Epoch  4, Batch    571, Loss  0.576003, Average Loss  0.571628, Time  0.232129
2021-09-11 03:18:35.756248 : Epoch  4, Batch    572, Loss  0.566344, Average Loss  0.571570, Time  0.231171
2021-09-11 03:18:36.155241 : Epoch  1, Batch   1227, Loss  0.865549, Average Loss  0.875110, Time  0.241904
2021-09-11 03:18:37.254074 : Epoch  4, Batch    573, Loss  0.560592, Average Loss  0.571453, Time  0.231554
2021-09-11 03:18:38.952959 : Epoch  1, Batch   1228, Loss  0.854490, Average Loss  0.874993, Time  0.405286
2021-09-11 03:18:39.022158 : Epoch  4, Batch    574, Loss  0.571453, Average Loss  0.571577, Time  0.359043
2021-09-11 03:18:40.686474 : Epoch  4, Batch    575, Loss  0.570275, Average Loss  0.571539, Time  0.231625
2021-09-11 03:18:41.638022 : Epoch  1, Batch   1229, Loss  0.884399, Average Loss  0.875006, Time  0.294995
2021-09-11 03:18:42.200163 : Epoch  4, Batch    576, Loss  0.574975, Average Loss  0.571585, Time  0.232109
2021-09-11 03:18:43.864923 : Epoch  4, Batch    577, Loss  0.561038, Average Loss  0.571536, Time  0.251549
2021-09-11 03:18:44.252860 : Epoch  1, Batch   1230, Loss  0.881320, Average Loss  0.875058, Time  0.245865
2021-09-11 03:18:45.448028 : Epoch  4, Batch    578, Loss  0.577900, Average Loss  0.571618, Time  0.231719
2021-09-11 03:18:46.863834 : Epoch  1, Batch   1231, Loss  0.879890, Average Loss  0.875066, Time  0.265374
2021-09-11 03:18:47.099911 : Epoch  4, Batch    579, Loss  0.567639, Average Loss  0.571576, Time  0.232053
2021-09-11 03:18:48.632012 : Epoch  4, Batch    580, Loss  0.563667, Average Loss  0.571531, Time  0.231841
2021-09-11 03:18:49.561536 : Epoch  1, Batch   1232, Loss  0.879120, Average Loss  0.875141, Time  0.259211
2021-09-11 03:18:50.158099 : Epoch  4, Batch    581, Loss  0.575015, Average Loss  0.571578, Time  0.252527
2021-09-11 03:18:51.702043 : Epoch  4, Batch    582, Loss  0.577972, Average Loss  0.571565, Time  0.256357
2021-09-11 03:18:52.282744 : Epoch  1, Batch   1233, Loss  0.874278, Average Loss  0.875105, Time  0.266893
2021-09-11 03:18:53.227982 : Epoch  4, Batch    583, Loss  0.584240, Average Loss  0.571597, Time  0.232025
2021-09-11 03:18:54.820727 : Epoch  4, Batch    584, Loss  0.563867, Average Loss  0.571485, Time  0.319072
2021-09-11 03:18:54.959908 : Epoch  1, Batch   1234, Loss  0.848192, Average Loss  0.874972, Time  0.280057
2021-09-11 03:18:56.329944 : Epoch  4, Batch    585, Loss  0.561322, Average Loss  0.571399, Time  0.231092
2021-09-11 03:18:57.567944 : Epoch  1, Batch   1235, Loss  0.882400, Average Loss  0.874838, Time  0.243742
2021-09-11 03:18:57.829774 : Epoch  4, Batch    586, Loss  0.567734, Average Loss  0.571420, Time  0.231476
2021-09-11 03:18:59.328771 : Epoch  4, Batch    587, Loss  0.573217, Average Loss  0.571413, Time  0.231173
2021-09-11 03:19:00.175358 : Epoch  1, Batch   1236, Loss  0.898652, Average Loss  0.874894, Time  0.240921
2021-09-11 03:19:00.971801 : Epoch  4, Batch    588, Loss  0.566544, Average Loss  0.571347, Time  0.234342
2021-09-11 03:19:02.499759 : Epoch  4, Batch    589, Loss  0.555859, Average Loss  0.571182, Time  0.232979
2021-09-11 03:19:02.789725 : Epoch  1, Batch   1237, Loss  0.886080, Average Loss  0.874790, Time  0.240463
2021-09-11 03:19:04.008213 : Epoch  4, Batch    590, Loss  0.571098, Average Loss  0.571153, Time  0.231071
2021-09-11 03:19:05.530007 : Epoch  1, Batch   1238, Loss  0.903243, Average Loss  0.874986, Time  0.378602
2021-09-11 03:19:05.606822 : Epoch  4, Batch    591, Loss  0.584228, Average Loss  0.571269, Time  0.315214
2021-09-11 03:19:07.114733 : Epoch  4, Batch    592, Loss  0.560654, Average Loss  0.571239, Time  0.232082
2021-09-11 03:19:08.125180 : Epoch  1, Batch   1239, Loss  0.866375, Average Loss  0.874917, Time  0.242051
2021-09-11 03:19:08.656778 : Epoch  4, Batch    593, Loss  0.577454, Average Loss  0.571249, Time  0.234094
2021-09-11 03:19:10.175733 : Epoch  4, Batch    594, Loss  0.574438, Average Loss  0.571247, Time  0.231080
2021-09-11 03:19:10.737317 : Epoch  1, Batch   1240, Loss  0.871574, Average Loss  0.874806, Time  0.238818
2021-09-11 03:19:11.701965 : Epoch  4, Batch    595, Loss  0.562293, Average Loss  0.571249, Time  0.231534
2021-09-11 03:19:13.537711 : Epoch  4, Batch    596, Loss  0.574408, Average Loss  0.571254, Time  0.449899
2021-09-11 03:19:13.578942 : Epoch  1, Batch   1241, Loss  0.861869, Average Loss  0.874845, Time  0.432091
2021-09-11 03:19:15.140401 : Epoch  4, Batch    597, Loss  0.571692, Average Loss  0.571236, Time  0.237211
2021-09-11 03:19:16.202343 : Epoch  1, Batch   1242, Loss  0.871873, Average Loss  0.874755, Time  0.239716
2021-09-11 03:19:16.667513 : Epoch  4, Batch    598, Loss  0.575611, Average Loss  0.571214, Time  0.231808
2021-09-11 03:19:18.175776 : Epoch  4, Batch    599, Loss  0.553100, Average Loss  0.571163, Time  0.231179
2021-09-11 03:19:18.820358 : Epoch  1, Batch   1243, Loss  0.873681, Average Loss  0.874775, Time  0.257596
2021-09-11 03:19:19.680782 : Epoch  4, Batch    600, Loss  0.558918, Average Loss  0.571088, Time  0.231612
2021-09-11 03:19:21.280085 : Epoch  4, Batch    601, Loss  0.565491, Average Loss  0.571043, Time  0.232383
2021-09-11 03:19:21.636446 : Epoch  1, Batch   1244, Loss  0.905174, Average Loss  0.874817, Time  0.241643
2021-09-11 03:19:22.782742 : Epoch  4, Batch    602, Loss  0.573211, Average Loss  0.571020, Time  0.230956
2021-09-11 03:19:24.472883 : Epoch  4, Batch    603, Loss  0.572994, Average Loss  0.571106, Time  0.419093
2021-09-11 03:19:24.512411 : Epoch  1, Batch   1245, Loss  0.869959, Average Loss  0.874813, Time  0.464248
2021-09-11 03:19:25.992934 : Epoch  4, Batch    604, Loss  0.578971, Average Loss  0.571152, Time  0.231776
2021-09-11 03:19:27.140092 : Epoch  1, Batch   1246, Loss  0.882578, Average Loss  0.874724, Time  0.246512
2021-09-11 03:19:27.504665 : Epoch  4, Batch    605, Loss  0.579872, Average Loss  0.571210, Time  0.231826
2021-09-11 03:19:29.009564 : Epoch  4, Batch    606, Loss  0.577621, Average Loss  0.571293, Time  0.230860
2021-09-11 03:19:29.763315 : Epoch  1, Batch   1247, Loss  0.871551, Average Loss  0.874762, Time  0.242822
2021-09-11 03:19:30.529920 : Epoch  4, Batch    607, Loss  0.580244, Average Loss  0.571304, Time  0.231272
2021-09-11 03:19:32.093067 : Epoch  4, Batch    608, Loss  0.561058, Average Loss  0.571212, Time  0.238257
2021-09-11 03:19:32.380849 : Epoch  1, Batch   1248, Loss  0.891135, Average Loss  0.874820, Time  0.246300
2021-09-11 03:19:33.651724 : Epoch  4, Batch    609, Loss  0.568778, Average Loss  0.571150, Time  0.236094
2021-09-11 03:19:35.001387 : Epoch  1, Batch   1249, Loss  0.871605, Average Loss  0.874820, Time  0.247546
2021-09-11 03:19:37.678765 : Epoch  1, Batch   1250, Loss  0.869480, Average Loss  0.874807, Time  0.240952
2021-09-11 03:19:38.949230 : Epoch  4, Batch    610, Loss  0.565585, Average Loss  0.571164, Time  0.251619
2021-09-11 03:19:40.296580 : Epoch  1, Batch   1251, Loss  0.861504, Average Loss  0.874780, Time  0.243193
2021-09-11 03:19:40.594989 : Epoch  4, Batch    611, Loss  0.566723, Average Loss  0.571133, Time  0.250123
2021-09-11 03:19:42.126718 : Epoch  4, Batch    612, Loss  0.571212, Average Loss  0.571109, Time  0.231339
2021-09-11 03:19:42.908818 : Epoch  1, Batch   1252, Loss  0.889231, Average Loss  0.874948, Time  0.243197
2021-09-11 03:19:43.620010 : Epoch  4, Batch    613, Loss  0.562022, Average Loss  0.571127, Time  0.231936
2021-09-11 03:19:45.141814 : Epoch  4, Batch    614, Loss  0.552343, Average Loss  0.571061, Time  0.231533
2021-09-11 03:19:45.647802 : Epoch  1, Batch   1253, Loss  0.893990, Average Loss  0.875025, Time  0.270027
2021-09-11 03:19:46.636691 : Epoch  4, Batch    615, Loss  0.562858, Average Loss  0.571031, Time  0.232248
2021-09-11 03:19:48.413598 : Epoch  4, Batch    616, Loss  0.566307, Average Loss  0.571010, Time  0.443957
2021-09-11 03:19:48.462911 : Epoch  1, Batch   1254, Loss  0.855902, Average Loss  0.874945, Time  0.404750
2021-09-11 03:19:50.015952 : Epoch  4, Batch    617, Loss  0.567631, Average Loss  0.570964, Time  0.231729
2021-09-11 03:19:51.230370 : Epoch  1, Batch   1255, Loss  0.875052, Average Loss  0.874835, Time  0.243503
2021-09-11 03:19:51.691201 : Epoch  4, Batch    618, Loss  0.573606, Average Loss  0.570972, Time  0.254111
2021-09-11 03:19:53.219938 : Epoch  4, Batch    619, Loss  0.559531, Average Loss  0.571011, Time  0.241762
2021-09-11 03:19:53.855917 : Epoch  1, Batch   1256, Loss  0.880758, Average Loss  0.874737, Time  0.248819
2021-09-11 03:19:54.740944 : Epoch  4, Batch    620, Loss  0.575237, Average Loss  0.571031, Time  0.233162
2021-09-11 03:19:56.349898 : Epoch  4, Batch    621, Loss  0.576956, Average Loss  0.571064, Time  0.309119
2021-09-11 03:19:56.487356 : Epoch  1, Batch   1257, Loss  0.876531, Average Loss  0.874668, Time  0.264659
2021-09-11 03:19:57.865772 : Epoch  4, Batch    622, Loss  0.571659, Average Loss  0.571115, Time  0.231111
2021-09-11 03:19:59.090517 : Epoch  1, Batch   1258, Loss  0.880383, Average Loss  0.874656, Time  0.241670
2021-09-11 03:19:59.460999 : Epoch  4, Batch    623, Loss  0.575760, Average Loss  0.571116, Time  0.231554
2021-09-11 03:20:01.236949 : Epoch  4, Batch    624, Loss  0.571605, Average Loss  0.571122, Time  0.231321
2021-09-11 03:20:01.793921 : Epoch  1, Batch   1259, Loss  0.886416, Average Loss  0.874686, Time  0.259847
2021-09-11 03:20:02.758774 : Epoch  4, Batch    625, Loss  0.567051, Average Loss  0.571110, Time  0.231423
2021-09-11 03:20:04.255962 : Epoch  4, Batch    626, Loss  0.574946, Average Loss  0.571112, Time  0.231399
2021-09-11 03:20:04.520416 : Epoch  1, Batch   1260, Loss  0.864373, Average Loss  0.874501, Time  0.279061
2021-09-11 03:20:05.781588 : Epoch  4, Batch    627, Loss  0.569179, Average Loss  0.571112, Time  0.232602
2021-09-11 03:20:07.138969 : Epoch  1, Batch   1261, Loss  0.871234, Average Loss  0.874514, Time  0.239576
2021-09-11 03:20:07.400792 : Epoch  4, Batch    628, Loss  0.568787, Average Loss  0.571064, Time  0.231192
2021-09-11 03:20:08.903733 : Epoch  4, Batch    629, Loss  0.563149, Average Loss  0.571070, Time  0.231319
2021-09-11 03:20:09.818958 : Epoch  1, Batch   1262, Loss  0.853593, Average Loss  0.874473, Time  0.261309
2021-09-11 03:20:10.423698 : Epoch  4, Batch    630, Loss  0.579589, Average Loss  0.571114, Time  0.231687
2021-09-11 03:20:11.964070 : Epoch  4, Batch    631, Loss  0.558868, Average Loss  0.571067, Time  0.239748
2021-09-11 03:20:12.537912 : Epoch  1, Batch   1263, Loss  0.864441, Average Loss  0.874381, Time  0.264798
2021-09-11 03:20:13.478960 : Epoch  4, Batch    632, Loss  0.575771, Average Loss  0.571088, Time  0.230931
2021-09-11 03:20:14.983016 : Epoch  4, Batch    633, Loss  0.583567, Average Loss  0.571196, Time  0.231997
2021-09-11 03:20:15.246284 : Epoch  1, Batch   1264, Loss  0.872347, Average Loss  0.874362, Time  0.257969
2021-09-11 03:20:16.500731 : Epoch  4, Batch    634, Loss  0.572232, Average Loss  0.571246, Time  0.232274
2021-09-11 03:20:18.109221 : Epoch  1, Batch   1265, Loss  0.865105, Average Loss  0.874346, Time  0.416902
2021-09-11 03:20:18.149824 : Epoch  4, Batch    635, Loss  0.561624, Average Loss  0.571129, Time  0.352317
2021-09-11 03:20:18.283937 : Epoch  4, Batch    636, Loss  0.751357, Average Loss  0.571973, Time  0.090009
2021-09-11 03:20:19.822316 : Epoch  4, Batch    637, Loss  0.574190, Average Loss  0.571963, Time  0.231858
2021-09-11 03:20:20.738842 : Epoch  1, Batch   1266, Loss  0.891152, Average Loss  0.874456, Time  0.241424
2021-09-11 03:20:21.473948 : Epoch  4, Batch    638, Loss  0.581975, Average Loss  0.571986, Time  0.233443
2021-09-11 03:20:23.376883 : Epoch  1, Batch   1267, Loss  0.886076, Average Loss  0.874594, Time  0.270099
2021-09-11 03:20:25.630270 : Epoch  4, Batch    639, Loss  0.593023, Average Loss  0.572118, Time  0.234359
2021-09-11 03:20:26.016720 : Epoch  1, Batch   1268, Loss  0.852041, Average Loss  0.874473, Time  0.243090
2021-09-11 03:20:28.714415 : Epoch  1, Batch   1269, Loss  0.888968, Average Loss  0.874547, Time  0.261373
2021-09-11 03:20:31.341755 : Epoch  1, Batch   1270, Loss  0.883330, Average Loss  0.874516, Time  0.244413
2021-09-11 03:20:33.986316 : Epoch  1, Batch   1271, Loss  0.871142, Average Loss  0.874509, Time  0.244743
2021-09-11 03:20:36.607982 : Epoch  1, Batch   1272, Loss  0.896320, Average Loss  0.874659, Time  0.240780
2021-09-11 03:20:39.232381 : Epoch  1, Batch   1273, Loss  0.885252, Average Loss  0.874689, Time  0.241737
2021-09-11 03:20:41.852714 : Epoch  1, Batch   1274, Loss  0.864428, Average Loss  0.874685, Time  0.243036
2021-09-11 03:20:44.532441 : Epoch  1, Batch   1275, Loss  0.860061, Average Loss  0.874564, Time  0.258877
2021-09-11 03:20:47.152828 : Epoch  1, Batch   1276, Loss  0.849540, Average Loss  0.874346, Time  0.243473
2021-09-11 03:20:49.765893 : Epoch  1, Batch   1277, Loss  0.871078, Average Loss  0.874409, Time  0.241856
2021-09-11 03:20:52.535694 : Epoch  1, Batch   1278, Loss  0.881665, Average Loss  0.874469, Time  0.256792
2021-09-11 03:20:55.254031 : Epoch  1, Batch   1279, Loss  0.878730, Average Loss  0.874423, Time  0.269614
2021-09-11 03:20:57.918774 : Epoch  1, Batch   1280, Loss  0.889672, Average Loss  0.874535, Time  0.242725
2021-09-11 03:21:00.520210 : Epoch  1, Batch   1281, Loss  0.859513, Average Loss  0.874458, Time  0.240363
2021-09-11 03:21:03.221869 : Epoch  1, Batch   1282, Loss  0.872244, Average Loss  0.874404, Time  0.244952
2021-09-11 03:21:05.826910 : Epoch  1, Batch   1283, Loss  0.874484, Average Loss  0.874368, Time  0.242794
2021-09-11 03:21:08.440346 : Epoch  1, Batch   1284, Loss  0.870054, Average Loss  0.874465, Time  0.240227
2021-09-11 03:21:11.098343 : Epoch  1, Batch   1285, Loss  0.851420, Average Loss  0.874393, Time  0.245683
2021-09-11 03:21:13.712682 : Epoch  1, Batch   1286, Loss  0.880843, Average Loss  0.874313, Time  0.242743
2021-09-11 03:21:16.322374 : Epoch  1, Batch   1287, Loss  0.845696, Average Loss  0.874151, Time  0.241286
2021-09-11 03:21:18.955845 : Epoch  1, Batch   1288, Loss  0.886581, Average Loss  0.874257, Time  0.244538
2021-09-11 03:21:21.574847 : Epoch  1, Batch   1289, Loss  0.892339, Average Loss  0.874365, Time  0.241948
2021-09-11 03:21:22.558687 : CheckPoint: Validation Loss  0.00024407, Best Loss  0.00023214
2021-09-11 03:21:24.234146 : Epoch  4, Batch    640, Loss  0.597425, Average Loss  0.572259, Time  0.402219
2021-09-11 03:21:24.291038 : Epoch  1, Batch   1290, Loss  0.856525, Average Loss  0.874314, Time  0.345873
2021-09-11 03:21:25.741433 : Epoch  4, Batch    641, Loss  0.584228, Average Loss  0.572280, Time  0.231290
2021-09-11 03:21:26.935813 : Epoch  1, Batch   1291, Loss  0.855025, Average Loss  0.874292, Time  0.246831
2021-09-11 03:21:27.247857 : Epoch  4, Batch    642, Loss  0.595957, Average Loss  0.572426, Time  0.230874
2021-09-11 03:21:28.930172 : Epoch  4, Batch    643, Loss  0.614637, Average Loss  0.572571, Time  0.251482
2021-09-11 03:21:29.544846 : Epoch  1, Batch   1292, Loss  0.866064, Average Loss  0.874220, Time  0.241694
2021-09-11 03:21:30.567725 : Epoch  4, Batch    644, Loss  0.591336, Average Loss  0.572684, Time  0.230981
2021-09-11 03:21:32.281806 : Epoch  4, Batch    645, Loss  0.588028, Average Loss  0.572727, Time  0.435361
2021-09-11 03:21:32.324058 : Epoch  1, Batch   1293, Loss  0.863399, Average Loss  0.874182, Time  0.382761
2021-09-11 03:21:33.853382 : Epoch  4, Batch    646, Loss  0.579653, Average Loss  0.572747, Time  0.233949
2021-09-11 03:21:34.922777 : Epoch  1, Batch   1294, Loss  0.872428, Average Loss  0.874113, Time  0.241727
2021-09-11 03:21:35.365769 : Epoch  4, Batch    647, Loss  0.585018, Average Loss  0.572851, Time  0.231395
2021-09-11 03:21:36.877246 : Epoch  4, Batch    648, Loss  0.575185, Average Loss  0.572889, Time  0.231266
2021-09-11 03:21:37.629858 : Epoch  1, Batch   1295, Loss  0.870310, Average Loss  0.874101, Time  0.240563
2021-09-11 03:21:38.429760 : Epoch  4, Batch    649, Loss  0.586200, Average Loss  0.572952, Time  0.231232
2021-09-11 03:21:40.070739 : Epoch  4, Batch    650, Loss  0.587611, Average Loss  0.573047, Time  0.233415
2021-09-11 03:21:40.318979 : Epoch  1, Batch   1296, Loss  0.870054, Average Loss  0.874040, Time  0.269201
2021-09-11 03:21:41.607454 : Epoch  4, Batch    651, Loss  0.578117, Average Loss  0.573094, Time  0.232004
2021-09-11 03:21:42.972790 : Epoch  1, Batch   1297, Loss  0.873792, Average Loss  0.874068, Time  0.244179
2021-09-11 03:21:43.186248 : Epoch  4, Batch    652, Loss  0.592315, Average Loss  0.573238, Time  0.234289
2021-09-11 03:21:44.701720 : Epoch  4, Batch    653, Loss  0.588408, Average Loss  0.573350, Time  0.232374
2021-09-11 03:21:45.645375 : Epoch  1, Batch   1298, Loss  0.871224, Average Loss  0.873896, Time  0.245871
2021-09-11 03:21:46.217712 : Epoch  4, Batch    654, Loss  0.574873, Average Loss  0.573420, Time  0.232565
2021-09-11 03:21:47.732697 : Epoch  4, Batch    655, Loss  0.576028, Average Loss  0.573420, Time  0.231062
2021-09-11 03:21:48.308097 : Epoch  1, Batch   1299, Loss  0.877245, Average Loss  0.873926, Time  0.242413
2021-09-11 03:21:49.257163 : Epoch  4, Batch    656, Loss  0.580452, Average Loss  0.573383, Time  0.232321
2021-09-11 03:21:50.913830 : Epoch  4, Batch    657, Loss  0.574536, Average Loss  0.573388, Time  0.369946
2021-09-11 03:21:50.998389 : Epoch  1, Batch   1300, Loss  0.874768, Average Loss  0.873879, Time  0.314652
2021-09-11 03:21:52.568400 : Epoch  4, Batch    658, Loss  0.576105, Average Loss  0.573408, Time  0.251588
2021-09-11 03:21:54.087607 : Epoch  4, Batch    659, Loss  0.578236, Average Loss  0.573363, Time  0.231614
2021-09-11 03:21:55.614133 : Epoch  4, Batch    660, Loss  0.565767, Average Loss  0.573274, Time  0.232815
2021-09-11 03:21:57.149075 : Epoch  4, Batch    661, Loss  0.587312, Average Loss  0.573316, Time  0.232793
2021-09-11 03:21:58.710877 : Epoch  4, Batch    662, Loss  0.578563, Average Loss  0.573343, Time  0.231483
2021-09-11 03:22:00.235115 : Epoch  4, Batch    663, Loss  0.574597, Average Loss  0.573334, Time  0.231499
2021-09-11 03:22:01.750483 : Epoch  4, Batch    664, Loss  0.587408, Average Loss  0.573402, Time  0.232168
2021-09-11 03:22:03.269787 : Epoch  4, Batch    665, Loss  0.579797, Average Loss  0.573441, Time  0.231738
2021-09-11 03:22:04.874697 : Epoch  4, Batch    666, Loss  0.565632, Average Loss  0.573460, Time  0.232926
2021-09-11 03:22:06.389138 : Epoch  4, Batch    667, Loss  0.570422, Average Loss  0.573431, Time  0.231426
2021-09-11 03:22:07.977794 : Epoch  4, Batch    668, Loss  0.568119, Average Loss  0.573397, Time  0.232636
2021-09-11 03:22:09.555035 : Epoch  4, Batch    669, Loss  0.590053, Average Loss  0.573554, Time  0.232058
2021-09-11 03:22:11.123153 : Epoch  4, Batch    670, Loss  0.582415, Average Loss  0.573602, Time  0.278092
2021-09-11 03:22:12.632832 : Epoch  4, Batch    671, Loss  0.579935, Average Loss  0.573624, Time  0.231228
2021-09-11 03:22:14.307887 : Epoch  4, Batch    672, Loss  0.568360, Average Loss  0.573590, Time  0.251593
2021-09-11 03:22:14.651735 : CheckPoint: Validation Loss  0.00061920, Best Loss  0.00057296
2021-09-11 03:22:15.909761 : Epoch  4, Batch    673, Loss  0.570646, Average Loss  0.573552, Time  0.311902
2021-09-11 03:22:16.282869 : Epoch  3, Batch   1679, Loss  0.809585, Average Loss  0.870610, Time  0.177631
2021-09-11 03:22:17.429034 : Epoch  4, Batch    674, Loss  0.572809, Average Loss  0.573569, Time  0.231448
2021-09-11 03:22:17.921924 : Epoch  3, Batch   1680, Loss  0.851847, Average Loss  0.870540, Time  0.170388
2021-09-11 03:22:18.936822 : Epoch  4, Batch    675, Loss  0.560260, Average Loss  0.573477, Time  0.231748
2021-09-11 03:22:19.552981 : Epoch  3, Batch   1681, Loss  0.900375, Average Loss  0.870695, Time  0.170141
2021-09-11 03:22:20.489093 : Epoch  4, Batch    676, Loss  0.565946, Average Loss  0.573423, Time  0.233888
2021-09-11 03:22:21.188920 : Epoch  3, Batch   1682, Loss  0.901784, Average Loss  0.870731, Time  0.170761
2021-09-11 03:22:22.013802 : Epoch  4, Batch    677, Loss  0.573041, Average Loss  0.573384, Time  0.233619
2021-09-11 03:22:22.813986 : Epoch  3, Batch   1683, Loss  0.866583, Average Loss  0.870795, Time  0.169758
2021-09-11 03:22:23.529811 : Epoch  4, Batch    678, Loss  0.558981, Average Loss  0.573252, Time  0.231703
2021-09-11 03:22:24.439999 : Epoch  3, Batch   1684, Loss  0.855898, Average Loss  0.870838, Time  0.169912
2021-09-11 03:22:25.048793 : Epoch  4, Batch    679, Loss  0.580236, Average Loss  0.573243, Time  0.231314
2021-09-11 03:22:26.075853 : Epoch  3, Batch   1685, Loss  0.915430, Average Loss  0.870990, Time  0.169815
2021-09-11 03:22:26.570688 : Epoch  4, Batch    680, Loss  0.576726, Average Loss  0.573261, Time  0.232568
2021-09-11 03:22:27.700011 : Epoch  3, Batch   1686, Loss  0.851298, Average Loss  0.870847, Time  0.169771
2021-09-11 03:22:28.115792 : Epoch  4, Batch    681, Loss  0.569390, Average Loss  0.573253, Time  0.231878
2021-09-11 03:22:29.338798 : Epoch  3, Batch   1687, Loss  0.875671, Average Loss  0.870719, Time  0.169797
2021-09-11 03:22:29.636977 : Epoch  4, Batch    682, Loss  0.567081, Average Loss  0.573260, Time  0.231155
2021-09-11 03:22:30.962002 : Epoch  3, Batch   1688, Loss  0.863423, Average Loss  0.870490, Time  0.169532
2021-09-11 03:22:31.174691 : Epoch  4, Batch    683, Loss  0.564858, Average Loss  0.573246, Time  0.231221
2021-09-11 03:22:32.603993 : Epoch  3, Batch   1689, Loss  0.869222, Average Loss  0.870582, Time  0.169795
2021-09-11 03:22:32.754788 : Epoch  4, Batch    684, Loss  0.561608, Average Loss  0.573229, Time  0.290173
2021-09-11 03:22:34.253507 : Epoch  3, Batch   1690, Loss  0.879448, Average Loss  0.870593, Time  0.169872
2021-09-11 03:22:34.286323 : Epoch  4, Batch    685, Loss  0.585668, Average Loss  0.573269, Time  0.232698
2021-09-11 03:22:35.838991 : Epoch  4, Batch    686, Loss  0.557903, Average Loss  0.573140, Time  0.232123
2021-09-11 03:22:35.884774 : Epoch  3, Batch   1691, Loss  0.877600, Average Loss  0.870509, Time  0.171974
2021-09-11 03:22:37.348993 : Epoch  4, Batch    687, Loss  0.578911, Average Loss  0.573222, Time  0.231400
2021-09-11 03:22:37.520985 : Epoch  3, Batch   1692, Loss  0.866510, Average Loss  0.870433, Time  0.170019
2021-09-11 03:22:38.874773 : Epoch  4, Batch    688, Loss  0.569017, Average Loss  0.573177, Time  0.233226
2021-09-11 03:22:39.161986 : Epoch  3, Batch   1693, Loss  0.882042, Average Loss  0.870552, Time  0.169709
2021-09-11 03:22:40.406838 : Epoch  4, Batch    689, Loss  0.578868, Average Loss  0.573222, Time  0.232045
2021-09-11 03:22:40.785993 : Epoch  3, Batch   1694, Loss  0.847304, Average Loss  0.870512, Time  0.169683
2021-09-11 03:22:41.935765 : Epoch  4, Batch    690, Loss  0.574334, Average Loss  0.573283, Time  0.231332
2021-09-11 03:22:42.419981 : Epoch  3, Batch   1695, Loss  0.884165, Average Loss  0.870677, Time  0.169471
2021-09-11 03:22:43.436775 : Epoch  4, Batch    691, Loss  0.566530, Average Loss  0.573226, Time  0.231447
2021-09-11 03:22:44.051005 : Epoch  3, Batch   1696, Loss  0.854029, Average Loss  0.870608, Time  0.169912
2021-09-11 03:22:44.972786 : Epoch  4, Batch    692, Loss  0.563626, Average Loss  0.573209, Time  0.231890
2021-09-11 03:22:45.681743 : Epoch  3, Batch   1697, Loss  0.849282, Average Loss  0.870507, Time  0.169744
2021-09-11 03:22:46.486314 : Epoch  4, Batch    693, Loss  0.565267, Average Loss  0.573254, Time  0.231776
2021-09-11 03:22:47.304992 : Epoch  3, Batch   1698, Loss  0.902005, Average Loss  0.870798, Time  0.169810
2021-09-11 03:22:48.138977 : Epoch  4, Batch    694, Loss  0.577202, Average Loss  0.573315, Time  0.238768
2021-09-11 03:22:48.922995 : Epoch  3, Batch   1699, Loss  0.880906, Average Loss  0.870737, Time  0.169753
2021-09-11 03:22:49.827038 : Epoch  4, Batch    695, Loss  0.568478, Average Loss  0.573272, Time  0.254451
2021-09-11 03:22:50.540001 : Epoch  3, Batch   1700, Loss  0.869465, Average Loss  0.870671, Time  0.171256
2021-09-11 03:22:51.535710 : Epoch  4, Batch    696, Loss  0.571088, Average Loss  0.573258, Time  0.250480
2021-09-11 03:22:52.175005 : Epoch  3, Batch   1701, Loss  0.868885, Average Loss  0.870781, Time  0.169691
2021-09-11 03:22:53.207057 : Epoch  4, Batch    697, Loss  0.575229, Average Loss  0.573394, Time  0.250488
2021-09-11 03:22:53.806984 : Epoch  3, Batch   1702, Loss  0.852706, Average Loss  0.870735, Time  0.169821
2021-09-11 03:22:54.743366 : Epoch  4, Batch    698, Loss  0.587739, Average Loss  0.573435, Time  0.232786
2021-09-11 03:22:55.436935 : Epoch  3, Batch   1703, Loss  0.842913, Average Loss  0.870569, Time  0.170219
2021-09-11 03:22:56.579404 : Epoch  4, Batch    699, Loss  0.574966, Average Loss  0.573413, Time  0.333700
2021-09-11 03:22:57.057995 : Epoch  3, Batch   1704, Loss  0.849231, Average Loss  0.870529, Time  0.169766
2021-09-11 03:22:58.102379 : Epoch  4, Batch    700, Loss  0.573385, Average Loss  0.573420, Time  0.233922
2021-09-11 03:22:58.666001 : Epoch  3, Batch   1705, Loss  0.878659, Average Loss  0.870481, Time  0.169581
2021-09-11 03:22:59.748752 : Epoch  4, Batch    701, Loss  0.562287, Average Loss  0.573397, Time  0.232295
2021-09-11 03:23:00.292995 : Epoch  3, Batch   1706, Loss  0.894663, Average Loss  0.870544, Time  0.169775
2021-09-11 03:23:01.361967 : Epoch  4, Batch    702, Loss  0.581298, Average Loss  0.573450, Time  0.314992
2021-09-11 03:23:01.952995 : Epoch  3, Batch   1707, Loss  0.839837, Average Loss  0.870461, Time  0.172028
2021-09-11 03:23:02.905581 : Epoch  4, Batch    703, Loss  0.586439, Average Loss  0.573495, Time  0.232019
2021-09-11 03:23:03.579799 : Epoch  3, Batch   1708, Loss  0.880012, Average Loss  0.870561, Time  0.170184
2021-09-11 03:23:04.578372 : Epoch  4, Batch    704, Loss  0.556096, Average Loss  0.573365, Time  0.250460
2021-09-11 03:23:05.207993 : Epoch  3, Batch   1709, Loss  0.877321, Average Loss  0.870681, Time  0.169740
2021-09-11 03:23:06.329066 : Epoch  4, Batch    705, Loss  0.569502, Average Loss  0.573403, Time  0.333974
2021-09-11 03:23:06.836748 : Epoch  3, Batch   1710, Loss  0.867577, Average Loss  0.870652, Time  0.169676
2021-09-11 03:23:08.013359 : Epoch  4, Batch    706, Loss  0.566541, Average Loss  0.573394, Time  0.252357
2021-09-11 03:23:08.467787 : Epoch  3, Batch   1711, Loss  0.862888, Average Loss  0.870647, Time  0.170070
2021-09-11 03:23:09.738721 : Epoch  4, Batch    707, Loss  0.576035, Average Loss  0.573443, Time  0.231901
2021-09-11 03:23:10.111838 : Epoch  3, Batch   1712, Loss  0.900009, Average Loss  0.870808, Time  0.169975
2021-09-11 03:23:11.416721 : Epoch  4, Batch    708, Loss  0.556658, Average Loss  0.573352, Time  0.250443
2021-09-11 03:23:11.733812 : Epoch  3, Batch   1713, Loss  0.853643, Average Loss  0.870848, Time  0.169642
2021-09-11 03:23:12.957122 : Epoch  4, Batch    709, Loss  0.555766, Average Loss  0.573268, Time  0.232822
2021-09-11 03:23:13.373845 : Epoch  3, Batch   1714, Loss  0.843512, Average Loss  0.870792, Time  0.170232
2021-09-11 03:23:15.048008 : Epoch  3, Batch   1715, Loss  0.875595, Average Loss  0.870849, Time  0.169582
2021-09-11 03:23:16.648309 : Epoch  3, Batch   1716, Loss  0.874045, Average Loss  0.870853, Time  0.170184
2021-09-11 03:23:16.920986 : Epoch  4, Batch    710, Loss  0.573008, Average Loss  0.573261, Time  0.259016
2021-09-11 03:23:18.268994 : Epoch  3, Batch   1717, Loss  0.851643, Average Loss  0.870606, Time  0.169862
2021-09-11 03:23:18.517266 : Epoch  4, Batch    711, Loss  0.579708, Average Loss  0.573245, Time  0.316580
2021-09-11 03:23:19.902000 : Epoch  3, Batch   1718, Loss  0.889082, Average Loss  0.870796, Time  0.169595
2021-09-11 03:23:20.033017 : Epoch  4, Batch    712, Loss  0.564805, Average Loss  0.573232, Time  0.231708
2021-09-11 03:23:21.536754 : Epoch  3, Batch   1719, Loss  0.845680, Average Loss  0.870643, Time  0.170010
2021-09-11 03:23:21.546978 : Epoch  4, Batch    713, Loss  0.584018, Average Loss  0.573280, Time  0.232210
2021-09-11 03:23:23.108896 : Epoch  4, Batch    714, Loss  0.560350, Average Loss  0.573243, Time  0.232259
2021-09-11 03:23:23.160978 : Epoch  3, Batch   1720, Loss  0.840765, Average Loss  0.870610, Time  0.169877
2021-09-11 03:23:24.759390 : Epoch  4, Batch    715, Loss  0.571169, Average Loss  0.573283, Time  0.232153
2021-09-11 03:23:24.797743 : Epoch  3, Batch   1721, Loss  0.877424, Average Loss  0.870735, Time  0.170044
2021-09-11 03:23:26.416034 : Epoch  4, Batch    716, Loss  0.563164, Average Loss  0.573216, Time  0.250494
2021-09-11 03:23:28.061838 : Epoch  3, Batch   1723, Loss  0.853211, Average Loss  0.870374, Time  0.169551
2021-09-11 03:23:28.197590 : Epoch  4, Batch    717, Loss  0.563309, Average Loss  0.573120, Time  0.332860
2021-09-11 03:23:29.693786 : Epoch  3, Batch   1724, Loss  0.887267, Average Loss  0.870597, Time  0.169797
2021-09-11 03:23:29.861413 : Epoch  4, Batch    718, Loss  0.580208, Average Loss  0.573167, Time  0.251211
2021-09-11 03:23:31.315833 : Epoch  3, Batch   1725, Loss  0.883927, Average Loss  0.870663, Time  0.169475
2021-09-11 03:23:31.377062 : Epoch  4, Batch    719, Loss  0.584199, Average Loss  0.573278, Time  0.231199
2021-09-11 03:23:32.962980 : Epoch  3, Batch   1726, Loss  0.863397, Average Loss  0.870627, Time  0.169600
2021-09-11 03:23:34.480977 : Epoch  4, Batch    721, Loss  0.566857, Average Loss  0.573203, Time  0.231874
2021-09-11 03:23:34.623995 : Epoch  3, Batch   1727, Loss  0.846368, Average Loss  0.870654, Time  0.170187
2021-09-11 03:23:36.012299 : Epoch  4, Batch    722, Loss  0.561957, Average Loss  0.573145, Time  0.232921
2021-09-11 03:23:36.240766 : Epoch  3, Batch   1728, Loss  0.872831, Average Loss  0.870647, Time  0.169957
2021-09-11 03:23:37.529105 : Epoch  4, Batch    723, Loss  0.565150, Average Loss  0.573127, Time  0.231278
2021-09-11 03:23:37.868991 : Epoch  3, Batch   1729, Loss  0.872443, Average Loss  0.870641, Time  0.169522
2021-09-11 03:23:39.039778 : Epoch  4, Batch    724, Loss  0.571415, Average Loss  0.573101, Time  0.231320
2021-09-11 03:23:39.510776 : Epoch  3, Batch   1730, Loss  0.885321, Average Loss  0.870676, Time  0.172025
2021-09-11 03:23:40.566851 : Epoch  4, Batch    725, Loss  0.559569, Average Loss  0.573107, Time  0.232007
2021-09-11 03:23:41.137997 : Epoch  3, Batch   1731, Loss  0.851412, Average Loss  0.870533, Time  0.169770
2021-09-11 03:23:42.103033 : Epoch  4, Batch    726, Loss  0.562720, Average Loss  0.573041, Time  0.231809
2021-09-11 03:23:42.778806 : Epoch  3, Batch   1732, Loss  0.838918, Average Loss  0.870520, Time  0.169480
2021-09-11 03:23:43.703714 : Epoch  4, Batch    727, Loss  0.573254, Average Loss  0.573047, Time  0.231717
2021-09-11 03:23:44.413759 : Epoch  3, Batch   1733, Loss  0.835321, Average Loss  0.870365, Time  0.171999
2021-09-11 03:23:45.268908 : Epoch  4, Batch    728, Loss  0.558877, Average Loss  0.572999, Time  0.239168
2021-09-11 03:23:46.066982 : Epoch  3, Batch   1734, Loss  0.863413, Average Loss  0.870227, Time  0.169594
2021-09-11 03:23:46.785820 : Epoch  4, Batch    729, Loss  0.559212, Average Loss  0.572976, Time  0.232653
2021-09-11 03:23:47.699801 : Epoch  3, Batch   1735, Loss  0.878081, Average Loss  0.870271, Time  0.169757
2021-09-11 03:23:48.321822 : Epoch  4, Batch    730, Loss  0.579162, Average Loss  0.572994, Time  0.232006
2021-09-11 03:23:49.330989 : Epoch  3, Batch   1736, Loss  0.846275, Average Loss  0.870166, Time  0.169716
2021-09-11 03:23:49.915380 : Epoch  4, Batch    731, Loss  0.560976, Average Loss  0.572936, Time  0.312717
2021-09-11 03:23:50.962738 : Epoch  3, Batch   1737, Loss  0.843764, Average Loss  0.870145, Time  0.169636
2021-09-11 03:23:51.578201 : Epoch  4, Batch    732, Loss  0.566965, Average Loss  0.572893, Time  0.250487
2021-09-11 03:23:52.591994 : Epoch  3, Batch   1738, Loss  0.863454, Average Loss  0.870142, Time  0.169844
2021-09-11 03:23:53.251748 : Epoch  4, Batch    733, Loss  0.571434, Average Loss  0.572907, Time  0.252286
2021-09-11 03:23:54.219810 : Epoch  3, Batch   1739, Loss  0.877816, Average Loss  0.870167, Time  0.169656
2021-09-11 03:23:54.820306 : Epoch  4, Batch    734, Loss  0.568165, Average Loss  0.572939, Time  0.232041
2021-09-11 03:23:55.859898 : Epoch  3, Batch   1740, Loss  0.885085, Average Loss  0.870276, Time  0.169836
2021-09-11 03:23:56.330721 : Epoch  4, Batch    735, Loss  0.565197, Average Loss  0.572908, Time  0.231282
2021-09-11 03:23:57.491995 : Epoch  3, Batch   1741, Loss  0.859108, Average Loss  0.870258, Time  0.169733
2021-09-11 03:23:57.842756 : Epoch  4, Batch    736, Loss  0.570579, Average Loss  0.572919, Time  0.231385
2021-09-11 03:23:59.112812 : Epoch  3, Batch   1742, Loss  0.869032, Average Loss  0.870267, Time  0.172313
2021-09-11 03:23:59.440148 : Epoch  4, Batch    737, Loss  0.566573, Average Loss  0.572830, Time  0.314616
2021-09-11 03:24:00.748840 : Epoch  3, Batch   1743, Loss  0.881909, Average Loss  0.870347, Time  0.170014
2021-09-11 03:24:01.025203 : Epoch  4, Batch    738, Loss  0.584590, Average Loss  0.572855, Time  0.232366
2021-09-11 03:24:02.376981 : Epoch  3, Batch   1744, Loss  0.896148, Average Loss  0.870504, Time  0.169659
2021-09-11 03:24:02.552804 : Epoch  4, Batch    739, Loss  0.574705, Average Loss  0.572887, Time  0.231345
2021-09-11 03:24:03.994815 : Epoch  3, Batch   1745, Loss  0.889421, Average Loss  0.870721, Time  0.169848
2021-09-11 03:24:05.641985 : Epoch  3, Batch   1746, Loss  0.870226, Average Loss  0.870562, Time  0.169871
2021-09-11 03:24:07.269805 : Epoch  3, Batch   1747, Loss  0.872149, Average Loss  0.870754, Time  0.169735
2021-09-11 03:24:08.892841 : Epoch  3, Batch   1748, Loss  0.883356, Average Loss  0.871015, Time  0.169800
2021-09-11 03:24:10.498790 : Epoch  3, Batch   1749, Loss  0.888286, Average Loss  0.871168, Time  0.172245
2021-09-11 03:24:12.113029 : Epoch  3, Batch   1750, Loss  0.894142, Average Loss  0.871186, Time  0.172191
2021-09-11 03:24:13.728765 : Epoch  3, Batch   1751, Loss  0.877080, Average Loss  0.871114, Time  0.172624
2021-09-11 03:24:15.369880 : Epoch  3, Batch   1752, Loss  0.876914, Average Loss  0.871165, Time  0.170228
2021-09-11 03:24:16.979770 : Epoch  3, Batch   1753, Loss  0.878861, Average Loss  0.871165, Time  0.169651
2021-09-11 03:24:18.623834 : Epoch  3, Batch   1754, Loss  0.873105, Average Loss  0.871117, Time  0.170305
2021-09-11 03:24:20.253868 : Epoch  3, Batch   1755, Loss  0.904789, Average Loss  0.871289, Time  0.169777
2021-09-11 03:24:21.874846 : Epoch  3, Batch   1756, Loss  0.873098, Average Loss  0.871269, Time  0.169863
2021-09-11 03:24:23.522741 : Epoch  3, Batch   1757, Loss  0.866190, Average Loss  0.871301, Time  0.170009
2021-09-11 03:24:25.147983 : Epoch  3, Batch   1758, Loss  0.837796, Average Loss  0.871156, Time  0.169944
2021-09-11 03:24:26.774737 : Epoch  3, Batch   1759, Loss  0.862890, Average Loss  0.871082, Time  0.169711
2021-09-11 03:24:28.398868 : Epoch  3, Batch   1760, Loss  0.864068, Average Loss  0.870860, Time  0.170284
2021-09-11 03:24:30.068780 : Epoch  3, Batch   1761, Loss  0.820517, Average Loss  0.870539, Time  0.171802
2021-09-11 03:24:31.688039 : Epoch  3, Batch   1762, Loss  0.880420, Average Loss  0.870589, Time  0.171484
2021-09-11 03:24:33.288794 : Epoch  3, Batch   1763, Loss  0.861494, Average Loss  0.870655, Time  0.170004
2021-09-11 03:24:34.901819 : Epoch  3, Batch   1764, Loss  0.865369, Average Loss  0.870608, Time  0.169781
2021-09-11 03:24:36.527990 : Epoch  3, Batch   1765, Loss  0.868695, Average Loss  0.870682, Time  0.169854
2021-09-11 03:24:38.149003 : Epoch  3, Batch   1766, Loss  0.866024, Average Loss  0.870472, Time  0.169602
2021-09-11 03:24:39.783995 : Epoch  3, Batch   1767, Loss  0.868804, Average Loss  0.870384, Time  0.169575
2021-09-11 03:24:41.403001 : Epoch  3, Batch   1768, Loss  0.899222, Average Loss  0.870607, Time  0.169982
2021-09-11 03:24:43.035812 : Epoch  3, Batch   1769, Loss  0.868105, Average Loss  0.870509, Time  0.169619
2021-09-11 03:24:44.674977 : Epoch  3, Batch   1770, Loss  0.848600, Average Loss  0.870299, Time  0.169793
2021-09-11 03:24:46.304939 : Epoch  3, Batch   1771, Loss  0.865662, Average Loss  0.870285, Time  0.169722
2021-09-11 03:24:47.929991 : Epoch  3, Batch   1772, Loss  0.872544, Average Loss  0.870228, Time  0.169482
2021-09-11 03:24:49.562812 : Epoch  3, Batch   1773, Loss  0.885339, Average Loss  0.870336, Time  0.169888
2021-09-11 03:24:51.177212 : Epoch  3, Batch   1774, Loss  0.877239, Average Loss  0.870261, Time  0.169888
2021-09-11 03:24:52.771767 : Epoch  3, Batch   1775, Loss  0.846456, Average Loss  0.870061, Time  0.170024
2021-09-11 03:24:54.377747 : Epoch  3, Batch   1776, Loss  0.895724, Average Loss  0.870048, Time  0.174691
2021-09-11 03:24:55.990876 : Epoch  3, Batch   1777, Loss  0.876030, Average Loss  0.870051, Time  0.169678
2021-09-11 03:24:57.627029 : Epoch  3, Batch   1778, Loss  0.890392, Average Loss  0.869952, Time  0.173981
2021-09-11 03:24:58.922884 : CheckPoint: Validation Loss  0.00023327, Best Loss  0.00023214
2021-09-11 03:25:00.585927 : Epoch  4, Batch    740, Loss  0.550749, Average Loss  0.572793, Time  0.233100
2021-09-11 03:25:02.255078 : Epoch  4, Batch    741, Loss  0.567284, Average Loss  0.572782, Time  0.250873
2021-09-11 03:25:03.785419 : Epoch  4, Batch    742, Loss  0.578505, Average Loss  0.572866, Time  0.250668
2021-09-11 03:25:05.417710 : Epoch  4, Batch    743, Loss  0.582918, Average Loss  0.572975, Time  0.231709
2021-09-11 03:25:06.926713 : Epoch  4, Batch    744, Loss  0.567211, Average Loss  0.572910, Time  0.231062
2021-09-11 03:25:08.436995 : Epoch  4, Batch    745, Loss  0.562413, Average Loss  0.572871, Time  0.231229
2021-09-11 03:25:09.977996 : Epoch  4, Batch    746, Loss  0.562317, Average Loss  0.572776, Time  0.233298
2021-09-11 03:25:11.592225 : Epoch  4, Batch    747, Loss  0.553477, Average Loss  0.572636, Time  0.315930
2021-09-11 03:25:13.114297 : Epoch  4, Batch    748, Loss  0.570860, Average Loss  0.572620, Time  0.232005
2021-09-11 03:25:14.633313 : Epoch  4, Batch    749, Loss  0.570969, Average Loss  0.572572, Time  0.232441
2021-09-11 03:25:16.145421 : Epoch  4, Batch    750, Loss  0.571843, Average Loss  0.572553, Time  0.232750
2021-09-11 03:25:17.662851 : Epoch  4, Batch    751, Loss  0.551197, Average Loss  0.572478, Time  0.232035
2021-09-11 03:25:19.360398 : Epoch  4, Batch    752, Loss  0.565775, Average Loss  0.572433, Time  0.254919
2021-09-11 03:25:21.055824 : Epoch  4, Batch    753, Loss  0.573590, Average Loss  0.572497, Time  0.251140
2021-09-11 03:25:22.609270 : Epoch  4, Batch    754, Loss  0.557425, Average Loss  0.572422, Time  0.232019
2021-09-11 03:25:24.125265 : Epoch  4, Batch    755, Loss  0.571527, Average Loss  0.572441, Time  0.232248
2021-09-11 03:25:25.658294 : Epoch  4, Batch    756, Loss  0.574435, Average Loss  0.572455, Time  0.247674
2021-09-11 03:25:27.195321 : Epoch  4, Batch    757, Loss  0.568868, Average Loss  0.572411, Time  0.250623
2021-09-11 03:25:28.868886 : Epoch  4, Batch    758, Loss  0.574998, Average Loss  0.572434, Time  0.252088
2021-09-11 03:25:30.570595 : Epoch  4, Batch    759, Loss  0.563365, Average Loss  0.572472, Time  0.252299
2021-09-11 03:25:32.087120 : Epoch  4, Batch    760, Loss  0.555017, Average Loss  0.572429, Time  0.232019
2021-09-11 03:25:33.635880 : Epoch  4, Batch    761, Loss  0.569829, Average Loss  0.572401, Time  0.234911
2021-09-11 03:25:35.153916 : Epoch  4, Batch    762, Loss  0.562079, Average Loss  0.572323, Time  0.232426
2021-09-11 03:25:36.678920 : Epoch  4, Batch    763, Loss  0.557462, Average Loss  0.572263, Time  0.233126
2021-09-11 03:25:38.196028 : Epoch  4, Batch    764, Loss  0.569699, Average Loss  0.572275, Time  0.232188
2021-09-11 03:25:39.725287 : Epoch  4, Batch    765, Loss  0.553761, Average Loss  0.572223, Time  0.233504
2021-09-11 03:25:41.255098 : Epoch  4, Batch    766, Loss  0.572860, Average Loss  0.572247, Time  0.232158
2021-09-11 03:25:42.858000 : Epoch  4, Batch    767, Loss  0.565123, Average Loss  0.572249, Time  0.313193
2021-09-11 03:25:44.444909 : Epoch  4, Batch    768, Loss  0.567307, Average Loss  0.572290, Time  0.236665
2021-09-11 03:25:45.969127 : Epoch  4, Batch    769, Loss  0.572557, Average Loss  0.572365, Time  0.232303
2021-09-11 03:25:47.694010 : Epoch  4, Batch    770, Loss  0.568584, Average Loss  0.572328, Time  0.338842
2021-09-11 03:25:49.238058 : Epoch  4, Batch    771, Loss  0.555534, Average Loss  0.572226, Time  0.234468
2021-09-11 03:25:50.785070 : Epoch  4, Batch    772, Loss  0.587737, Average Loss  0.572333, Time  0.232216
2021-09-11 03:25:52.304234 : Epoch  4, Batch    773, Loss  0.572970, Average Loss  0.572394, Time  0.231753
2021-09-11 03:25:53.825350 : Epoch  4, Batch    774, Loss  0.567765, Average Loss  0.572376, Time  0.232733
2021-09-11 03:25:55.355789 : Epoch  4, Batch    775, Loss  0.567819, Average Loss  0.572364, Time  0.233373
2021-09-11 03:25:56.531706 : CheckPoint: Validation Loss  0.00030617, Best Loss  0.00029681
2021-09-11 03:25:56.870365 : Epoch  4, Batch    776, Loss  0.577945, Average Loss  0.572379, Time  0.231919
2021-09-11 03:25:58.379195 : Epoch  4, Batch    777, Loss  0.565136, Average Loss  0.572399, Time  0.232171
2021-09-11 03:25:59.158029 : Epoch  1, Batch   1301, Loss  0.895711, Average Loss  0.874057, Time  0.244444
2021-09-11 03:25:59.911241 : Epoch  4, Batch    778, Loss  0.563288, Average Loss  0.572326, Time  0.233123
2021-09-11 03:26:01.446933 : Epoch  4, Batch    779, Loss  0.558988, Average Loss  0.572283, Time  0.233052
2021-09-11 03:26:01.785833 : Epoch  1, Batch   1302, Loss  0.891547, Average Loss  0.874168, Time  0.243664
2021-09-11 03:26:03.103985 : Epoch  4, Batch    780, Loss  0.566798, Average Loss  0.572298, Time  0.234014
2021-09-11 03:26:04.405304 : Epoch  1, Batch   1303, Loss  0.872664, Average Loss  0.874019, Time  0.241392
2021-09-11 03:26:04.623432 : Epoch  4, Batch    781, Loss  0.578033, Average Loss  0.572313, Time  0.235252
2021-09-11 03:26:06.143829 : Epoch  4, Batch    782, Loss  0.564395, Average Loss  0.572246, Time  0.233512
2021-09-11 03:26:07.099565 : Epoch  1, Batch   1304, Loss  0.894180, Average Loss  0.874200, Time  0.242688
2021-09-11 03:26:07.678870 : Epoch  4, Batch    783, Loss  0.564921, Average Loss  0.572149, Time  0.232775
2021-09-11 03:26:09.197253 : Epoch  4, Batch    784, Loss  0.555058, Average Loss  0.572105, Time  0.232230
2021-09-11 03:26:09.727790 : Epoch  1, Batch   1305, Loss  0.880398, Average Loss  0.874208, Time  0.243176
2021-09-11 03:26:10.795281 : Epoch  4, Batch    785, Loss  0.559426, Average Loss  0.572095, Time  0.251324
2021-09-11 03:26:12.547511 : Epoch  1, Batch   1306, Loss  0.917155, Average Loss  0.874392, Time  0.428568
2021-09-11 03:26:12.597908 : Epoch  4, Batch    786, Loss  0.572209, Average Loss  0.572118, Time  0.381917
2021-09-11 03:26:14.391907 : Epoch  4, Batch    787, Loss  0.576250, Average Loss  0.572133, Time  0.232031
2021-09-11 03:26:14.443591 : Saving Model after 4-th Epoch.
2021-09-11 03:26:15.260422 : Epoch  1, Batch   1307, Loss  0.889213, Average Loss  0.874456, Time  0.263077
2021-09-11 03:26:15.458387 : Epoch Finished.
2021-09-11 03:26:17.968990 : Epoch  1, Batch   1308, Loss  0.878908, Average Loss  0.874468, Time  0.245034
2021-09-11 03:26:18.189640 : Batch Shuffled
2021-09-11 03:26:19.699499 : Epoch  5, Batch      1, Loss  0.584417, Average Loss  0.572222, Time  0.233271
2021-09-11 03:26:20.684907 : Epoch  1, Batch   1309, Loss  0.868514, Average Loss  0.874431, Time  0.262471
2021-09-11 03:26:21.205070 : Epoch  5, Batch      2, Loss  0.558544, Average Loss  0.572236, Time  0.232268
2021-09-11 03:26:22.726823 : Epoch  5, Batch      3, Loss  0.562564, Average Loss  0.572193, Time  0.232374
2021-09-11 03:26:23.435245 : Epoch  1, Batch   1310, Loss  0.867799, Average Loss  0.874337, Time  0.242763
2021-09-11 03:26:24.243184 : Epoch  5, Batch      4, Loss  0.565302, Average Loss  0.572098, Time  0.233686
2021-09-11 03:26:25.757804 : Epoch  5, Batch      5, Loss  0.570743, Average Loss  0.572149, Time  0.236183
2021-09-11 03:26:26.055032 : Epoch  1, Batch   1311, Loss  0.884015, Average Loss  0.874494, Time  0.247689
2021-09-11 03:26:27.269392 : Epoch  5, Batch      6, Loss  0.568076, Average Loss  0.572102, Time  0.233301
2021-09-11 03:26:28.824106 : Epoch  1, Batch   1312, Loss  0.880922, Average Loss  0.874604, Time  0.393052
2021-09-11 03:26:28.883866 : Epoch  5, Batch      7, Loss  0.582776, Average Loss  0.572144, Time  0.320098
2021-09-11 03:26:30.555583 : Epoch  5, Batch      8, Loss  0.562199, Average Loss  0.572143, Time  0.251954
2021-09-11 03:26:31.437835 : Epoch  1, Batch   1313, Loss  0.871374, Average Loss  0.874538, Time  0.242615
2021-09-11 03:26:32.196337 : Epoch  5, Batch      9, Loss  0.555695, Average Loss  0.572050, Time  0.232651
2021-09-11 03:26:34.046380 : Epoch  5, Batch     10, Loss  0.565523, Average Loss  0.572019, Time  0.382306
2021-09-11 03:26:34.122816 : Epoch  1, Batch   1314, Loss  0.872060, Average Loss  0.874427, Time  0.315640
2021-09-11 03:26:35.577319 : Epoch  5, Batch     11, Loss  0.575212, Average Loss  0.572017, Time  0.232446
2021-09-11 03:26:36.725459 : Epoch  1, Batch   1315, Loss  0.890095, Average Loss  0.874488, Time  0.248604
2021-09-11 03:26:37.089803 : Epoch  5, Batch     12, Loss  0.576019, Average Loss  0.572131, Time  0.231700
2021-09-11 03:26:38.772036 : Epoch  5, Batch     13, Loss  0.556082, Average Loss  0.572117, Time  0.252856
2021-09-11 03:26:39.351939 : Epoch  1, Batch   1316, Loss  0.860098, Average Loss  0.874449, Time  0.242320
2021-09-11 03:26:40.359892 : Epoch  5, Batch     14, Loss  0.576037, Average Loss  0.572170, Time  0.232718
2021-09-11 03:26:42.068810 : Epoch  5, Batch     15, Loss  0.560358, Average Loss  0.572106, Time  0.428007
2021-09-11 03:26:42.114956 : Epoch  1, Batch   1317, Loss  0.856848, Average Loss  0.874345, Time  0.369399
2021-09-11 03:26:43.590798 : Epoch  5, Batch     16, Loss  0.556011, Average Loss  0.572021, Time  0.231704
2021-09-11 03:26:44.772937 : Epoch  1, Batch   1318, Loss  0.879493, Average Loss  0.874429, Time  0.242599
2021-09-11 03:26:45.112279 : Epoch  5, Batch     17, Loss  0.572428, Average Loss  0.571988, Time  0.232243
2021-09-11 03:26:46.622260 : Epoch  5, Batch     18, Loss  0.562838, Average Loss  0.571903, Time  0.231761
2021-09-11 03:26:47.400920 : Epoch  1, Batch   1319, Loss  0.874782, Average Loss  0.874419, Time  0.243396
2021-09-11 03:26:48.135754 : Epoch  5, Batch     19, Loss  0.562041, Average Loss  0.571825, Time  0.232258
2021-09-11 03:26:49.678368 : Epoch  5, Batch     20, Loss  0.566562, Average Loss  0.571757, Time  0.232959
2021-09-11 03:26:50.025843 : Epoch  1, Batch   1320, Loss  0.871952, Average Loss  0.874367, Time  0.245179
2021-09-11 03:26:51.241877 : Epoch  5, Batch     21, Loss  0.571676, Average Loss  0.571810, Time  0.232080
2021-09-11 03:26:52.809788 : Epoch  1, Batch   1321, Loss  0.856550, Average Loss  0.874206, Time  0.415131
2021-09-11 03:26:52.853226 : Epoch  5, Batch     22, Loss  0.569378, Average Loss  0.571813, Time  0.314272
2021-09-11 03:26:54.345985 : Epoch  5, Batch     23, Loss  0.563656, Average Loss  0.571803, Time  0.232890
2021-09-11 03:26:55.427420 : Epoch  1, Batch   1322, Loss  0.870974, Average Loss  0.874327, Time  0.250243
2021-09-11 03:26:55.840280 : Epoch  5, Batch     24, Loss  0.562792, Average Loss  0.571783, Time  0.231894
2021-09-11 03:26:57.517322 : Epoch  5, Batch     25, Loss  0.570439, Average Loss  0.571780, Time  0.251725
2021-09-11 03:26:58.053072 : Epoch  1, Batch   1323, Loss  0.872403, Average Loss  0.874283, Time  0.260680
2021-09-11 03:26:59.044036 : Epoch  5, Batch     26, Loss  0.559655, Average Loss  0.571768, Time  0.233113
2021-09-11 03:27:00.871828 : Epoch  1, Batch   1324, Loss  0.855710, Average Loss  0.874233, Time  0.448859
2021-09-11 03:27:00.915116 : Epoch  5, Batch     27, Loss  0.592548, Average Loss  0.571969, Time  0.423065
2021-09-11 03:27:02.576923 : Epoch  5, Batch     28, Loss  0.569613, Average Loss  0.572003, Time  0.251528
2021-09-11 03:27:03.502889 : Epoch  1, Batch   1325, Loss  0.886312, Average Loss  0.874237, Time  0.250040
2021-09-11 03:27:04.101311 : Epoch  5, Batch     29, Loss  0.566891, Average Loss  0.572005, Time  0.232510
2021-09-11 03:27:05.610439 : Epoch  5, Batch     30, Loss  0.560466, Average Loss  0.571970, Time  0.232092
2021-09-11 03:27:06.206452 : Epoch  1, Batch   1326, Loss  0.884164, Average Loss  0.874277, Time  0.263712
2021-09-11 03:27:07.124282 : Epoch  5, Batch     31, Loss  0.567204, Average Loss  0.571938, Time  0.232320
2021-09-11 03:27:08.666032 : Epoch  5, Batch     32, Loss  0.559904, Average Loss  0.571939, Time  0.233108
2021-09-11 03:27:08.888962 : Epoch  1, Batch   1327, Loss  0.878064, Average Loss  0.874322, Time  0.248883
2021-09-11 03:27:10.182767 : Epoch  5, Batch     33, Loss  0.564332, Average Loss  0.571885, Time  0.232185
2021-09-11 03:27:11.583080 : Epoch  1, Batch   1328, Loss  0.872700, Average Loss  0.874282, Time  0.308159
2021-09-11 03:27:11.721848 : Epoch  5, Batch     34, Loss  0.571186, Average Loss  0.571856, Time  0.251036
2021-09-11 03:27:13.234935 : Epoch  5, Batch     35, Loss  0.567615, Average Loss  0.571836, Time  0.232982
2021-09-11 03:27:14.201004 : Epoch  1, Batch   1329, Loss  0.886091, Average Loss  0.874282, Time  0.245174
2021-09-11 03:27:14.903048 : Epoch  5, Batch     36, Loss  0.572106, Average Loss  0.571818, Time  0.251743
2021-09-11 03:27:16.597815 : Epoch  5, Batch     37, Loss  0.567508, Average Loss  0.571797, Time  0.251740
2021-09-11 03:27:16.819982 : Epoch  1, Batch   1330, Loss  0.847365, Average Loss  0.874250, Time  0.242756
2021-09-11 03:27:18.293898 : Epoch  5, Batch     38, Loss  0.575234, Average Loss  0.571838, Time  0.253088
2021-09-11 03:27:19.440473 : Epoch  1, Batch   1331, Loss  0.852928, Average Loss  0.874109, Time  0.246391
2021-09-11 03:27:19.825998 : Epoch  5, Batch     39, Loss  0.565833, Average Loss  0.571792, Time  0.236186
2021-09-11 03:27:21.335447 : Epoch  5, Batch     40, Loss  0.575382, Average Loss  0.571823, Time  0.231956
2021-09-11 03:27:22.061093 : Epoch  1, Batch   1332, Loss  0.871344, Average Loss  0.874124, Time  0.243106
2021-09-11 03:27:23.026848 : Epoch  5, Batch     41, Loss  0.560327, Average Loss  0.571781, Time  0.252549
2021-09-11 03:27:24.885991 : Epoch  1, Batch   1333, Loss  0.871243, Average Loss  0.874131, Time  0.455121
2021-09-11 03:27:24.944453 : Epoch  5, Batch     42, Loss  0.570990, Average Loss  0.571820, Time  0.457350
2021-09-11 03:27:26.617360 : Epoch  5, Batch     43, Loss  0.567014, Average Loss  0.571758, Time  0.251582
2021-09-11 03:27:27.519963 : Epoch  1, Batch   1334, Loss  0.868096, Average Loss  0.874112, Time  0.246022
2021-09-11 03:27:28.146888 : Epoch  5, Batch     44, Loss  0.570390, Average Loss  0.571815, Time  0.231830
2021-09-11 03:27:29.698242 : Epoch  5, Batch     45, Loss  0.565049, Average Loss  0.571762, Time  0.233676
2021-09-11 03:27:30.147195 : Epoch  1, Batch   1335, Loss  0.875933, Average Loss  0.874214, Time  0.240831
2021-09-11 03:27:31.217077 : Epoch  5, Batch     46, Loss  0.578333, Average Loss  0.571735, Time  0.232452
2021-09-11 03:27:32.953944 : Epoch  5, Batch     47, Loss  0.570289, Average Loss  0.571726, Time  0.451910
2021-09-11 03:27:33.005105 : Epoch  1, Batch   1336, Loss  0.882857, Average Loss  0.874338, Time  0.443044
2021-09-11 03:27:34.698879 : Epoch  5, Batch     48, Loss  0.566334, Average Loss  0.571749, Time  0.250606
2021-09-11 03:27:35.682972 : Epoch  1, Batch   1337, Loss  0.878203, Average Loss  0.874506, Time  0.244014
2021-09-11 03:27:36.232843 : Epoch  5, Batch     49, Loss  0.557125, Average Loss  0.570778, Time  0.232608
2021-09-11 03:27:37.750570 : Epoch  5, Batch     50, Loss  0.557180, Average Loss  0.570693, Time  0.233273
2021-09-11 03:27:38.302364 : Epoch  1, Batch   1338, Loss  0.883863, Average Loss  0.874653, Time  0.242224
2021-09-11 03:27:39.282170 : Epoch  5, Batch     51, Loss  0.581133, Average Loss  0.570689, Time  0.232726
2021-09-11 03:27:41.019182 : Epoch  5, Batch     52, Loss  0.558604, Average Loss  0.570517, Time  0.423062
2021-09-11 03:27:41.064917 : Epoch  1, Batch   1339, Loss  0.864884, Average Loss  0.874650, Time  0.369604
2021-09-11 03:27:43.700839 : Epoch  1, Batch   1340, Loss  0.891505, Average Loss  0.874628, Time  0.245530
2021-09-11 03:27:46.346902 : Epoch  1, Batch   1341, Loss  0.889571, Average Loss  0.874727, Time  0.241067
2021-09-11 03:27:48.974873 : Epoch  1, Batch   1342, Loss  0.868169, Average Loss  0.874786, Time  0.242379
2021-09-11 03:27:51.612863 : Epoch  1, Batch   1343, Loss  0.875119, Average Loss  0.874865, Time  0.258614
2021-09-11 03:27:54.280024 : Epoch  1, Batch   1344, Loss  0.875460, Average Loss  0.874899, Time  0.280380
2021-09-11 03:27:56.917026 : Epoch  1, Batch   1345, Loss  0.860554, Average Loss  0.874821, Time  0.240923
2021-09-11 03:27:59.653912 : Epoch  1, Batch   1346, Loss  0.863958, Average Loss  0.874752, Time  0.273225
2021-09-11 03:28:02.383821 : Epoch  1, Batch   1347, Loss  0.874805, Average Loss  0.874773, Time  0.279655
2021-09-11 03:28:04.988258 : Epoch  1, Batch   1348, Loss  0.856232, Average Loss  0.874667, Time  0.240669
2021-09-11 03:28:07.602496 : Epoch  1, Batch   1349, Loss  0.901570, Average Loss  0.874822, Time  0.241220
2021-09-11 03:28:10.251131 : Epoch  1, Batch   1350, Loss  0.858796, Average Loss  0.874769, Time  0.260726
2021-09-11 03:28:12.867920 : Epoch  1, Batch   1351, Loss  0.874053, Average Loss  0.874652, Time  0.240788
2021-09-11 03:28:15.509135 : Epoch  1, Batch   1352, Loss  0.889097, Average Loss  0.874727, Time  0.262810
2021-09-11 03:28:18.225849 : Epoch  1, Batch   1353, Loss  0.873406, Average Loss  0.874767, Time  0.260049
2021-09-11 03:28:20.940235 : Epoch  1, Batch   1354, Loss  0.881561, Average Loss  0.874827, Time  0.266160
2021-09-11 03:28:23.879458 : Epoch  1, Batch   1355, Loss  0.864441, Average Loss  0.874709, Time  0.249302
2021-09-11 03:28:26.497419 : Epoch  1, Batch   1356, Loss  0.872801, Average Loss  0.874554, Time  0.243391
2021-09-11 03:28:29.140446 : Epoch  1, Batch   1357, Loss  0.859756, Average Loss  0.874560, Time  0.262102
2021-09-11 03:28:31.781899 : Epoch  1, Batch   1358, Loss  0.884388, Average Loss  0.874585, Time  0.246793
2021-09-11 03:28:34.417805 : Epoch  1, Batch   1359, Loss  0.860478, Average Loss  0.874529, Time  0.238582
2021-09-11 03:28:37.035246 : Epoch  1, Batch   1360, Loss  0.863980, Average Loss  0.874413, Time  0.238878
2021-09-11 03:28:37.765726 : CheckPoint: Validation Loss  0.00024229, Best Loss  0.00023214
2021-09-11 03:28:39.292717 : Epoch  5, Batch     53, Loss  0.567680, Average Loss  0.570368, Time  0.232674
2021-09-11 03:28:39.717300 : Epoch  1, Batch   1361, Loss  0.858099, Average Loss  0.874209, Time  0.280071
2021-09-11 03:28:40.842391 : Epoch  5, Batch     54, Loss  0.574480, Average Loss  0.570319, Time  0.232398
2021-09-11 03:28:42.564415 : Epoch  1, Batch   1362, Loss  0.866577, Average Loss  0.874099, Time  0.452527
2021-09-11 03:28:42.607352 : Epoch  5, Batch     55, Loss  0.561455, Average Loss  0.570147, Time  0.432034
2021-09-11 03:28:44.284317 : Epoch  5, Batch     56, Loss  0.566725, Average Loss  0.569907, Time  0.253421
2021-09-11 03:28:45.197964 : Epoch  1, Batch   1363, Loss  0.889175, Average Loss  0.874156, Time  0.245871
2021-09-11 03:28:45.977901 : Epoch  5, Batch     57, Loss  0.567135, Average Loss  0.569786, Time  0.252511
2021-09-11 03:28:47.768383 : Epoch  5, Batch     58, Loss  0.562928, Average Loss  0.569661, Time  0.359432
2021-09-11 03:28:47.864452 : Epoch  1, Batch   1364, Loss  0.868984, Average Loss  0.874147, Time  0.290475
2021-09-11 03:28:49.443013 : Epoch  5, Batch     59, Loss  0.566436, Average Loss  0.569595, Time  0.251338
2021-09-11 03:28:50.511830 : Epoch  1, Batch   1365, Loss  0.884508, Average Loss  0.874211, Time  0.245558
2021-09-11 03:28:51.041831 : Epoch  5, Batch     60, Loss  0.578345, Average Loss  0.569561, Time  0.234214
2021-09-11 03:28:52.577527 : Epoch  5, Batch     61, Loss  0.556524, Average Loss  0.569468, Time  0.232661
2021-09-11 03:28:53.137925 : Epoch  1, Batch   1366, Loss  0.860377, Average Loss  0.874075, Time  0.242558
2021-09-11 03:28:54.101478 : Epoch  5, Batch     62, Loss  0.556105, Average Loss  0.569317, Time  0.232340
2021-09-11 03:28:55.801931 : Epoch  5, Batch     63, Loss  0.568512, Average Loss  0.569222, Time  0.401065
2021-09-11 03:28:55.856770 : Epoch  1, Batch   1367, Loss  0.879799, Average Loss  0.874027, Time  0.346473
2021-09-11 03:28:57.328365 : Epoch  5, Batch     64, Loss  0.574107, Average Loss  0.569202, Time  0.232354
2021-09-11 03:28:58.468984 : Epoch  1, Batch   1368, Loss  0.870969, Average Loss  0.874034, Time  0.241745
2021-09-11 03:28:58.852994 : Epoch  5, Batch     65, Loss  0.562544, Average Loss  0.569053, Time  0.232260
2021-09-11 03:29:00.404803 : Epoch  5, Batch     66, Loss  0.573111, Average Loss  0.568977, Time  0.233671
2021-09-11 03:29:01.107881 : Epoch  1, Batch   1369, Loss  0.879329, Average Loss  0.874055, Time  0.239442
2021-09-11 03:29:01.930148 : Epoch  5, Batch     67, Loss  0.561635, Average Loss  0.568910, Time  0.232083
2021-09-11 03:29:03.447852 : Epoch  5, Batch     68, Loss  0.547784, Average Loss  0.568769, Time  0.232093
2021-09-11 03:29:03.751942 : Epoch  1, Batch   1370, Loss  0.885508, Average Loss  0.874112, Time  0.248745
2021-09-11 03:29:04.968861 : Epoch  5, Batch     69, Loss  0.567846, Average Loss  0.568706, Time  0.232371
2021-09-11 03:29:06.373451 : Epoch  1, Batch   1371, Loss  0.882042, Average Loss  0.874156, Time  0.242856
2021-09-11 03:29:06.651296 : Epoch  5, Batch     70, Loss  0.560273, Average Loss  0.568635, Time  0.267166
2021-09-11 03:29:08.324081 : Epoch  5, Batch     71, Loss  0.569800, Average Loss  0.568603, Time  0.251852
2021-09-11 03:29:09.033829 : Epoch  1, Batch   1372, Loss  0.852406, Average Loss  0.874057, Time  0.243750
2021-09-11 03:29:09.842813 : Epoch  5, Batch     72, Loss  0.575801, Average Loss  0.568591, Time  0.232270
2021-09-11 03:29:11.358898 : Epoch  5, Batch     73, Loss  0.561632, Average Loss  0.568570, Time  0.234453
2021-09-11 03:29:11.679849 : Epoch  1, Batch   1373, Loss  0.867512, Average Loss  0.874032, Time  0.246618
2021-09-11 03:29:12.908328 : Epoch  5, Batch     74, Loss  0.560925, Average Loss  0.568438, Time  0.238205
2021-09-11 03:29:14.434431 : Epoch  1, Batch   1374, Loss  0.888363, Average Loss  0.874070, Time  0.380523
2021-09-11 03:29:14.505024 : Epoch  5, Batch     75, Loss  0.564732, Average Loss  0.568369, Time  0.291487
2021-09-11 03:29:16.030373 : Epoch  5, Batch     76, Loss  0.557272, Average Loss  0.568283, Time  0.232785
2021-09-11 03:29:17.150968 : Epoch  1, Batch   1375, Loss  0.878707, Average Loss  0.874076, Time  0.264078
2021-09-11 03:29:17.563839 : Epoch  5, Batch     77, Loss  0.569764, Average Loss  0.568194, Time  0.232186
2021-09-11 03:29:19.097034 : Epoch  5, Batch     78, Loss  0.562282, Average Loss  0.568107, Time  0.233428
2021-09-11 03:29:19.824056 : Epoch  1, Batch   1376, Loss  0.886576, Average Loss  0.874122, Time  0.242848
2021-09-11 03:29:20.778960 : Epoch  5, Batch     79, Loss  0.557402, Average Loss  0.568066, Time  0.235971
2021-09-11 03:29:22.649421 : Epoch  1, Batch   1377, Loss  0.883577, Average Loss  0.874209, Time  0.454791
2021-09-11 03:29:22.701893 : Epoch  5, Batch     80, Loss  0.580887, Average Loss  0.568118, Time  0.457967
2021-09-11 03:29:24.373304 : Epoch  5, Batch     81, Loss  0.569874, Average Loss  0.568127, Time  0.251949
2021-09-11 03:29:25.274023 : Epoch  1, Batch   1378, Loss  0.854728, Average Loss  0.874077, Time  0.246366
2021-09-11 03:29:25.997998 : Epoch  5, Batch     82, Loss  0.559030, Average Loss  0.567972, Time  0.233014
2021-09-11 03:29:27.534844 : Epoch  5, Batch     83, Loss  0.576114, Average Loss  0.567940, Time  0.232466
2021-09-11 03:29:27.892882 : Epoch  1, Batch   1379, Loss  0.864789, Average Loss  0.874055, Time  0.242320
2021-09-11 03:29:29.073957 : Epoch  5, Batch     84, Loss  0.564318, Average Loss  0.567862, Time  0.232833
2021-09-11 03:29:30.673205 : Epoch  1, Batch   1380, Loss  0.889513, Average Loss  0.874172, Time  0.407541
2021-09-11 03:29:30.722885 : Epoch  5, Batch     85, Loss  0.554292, Average Loss  0.567792, Time  0.340381
2021-09-11 03:29:32.243945 : Epoch  5, Batch     86, Loss  0.569372, Average Loss  0.567785, Time  0.232193
2021-09-11 03:29:33.292137 : Epoch  1, Batch   1381, Loss  0.850077, Average Loss  0.873966, Time  0.241028
2021-09-11 03:29:33.772329 : Epoch  5, Batch     87, Loss  0.572328, Average Loss  0.567783, Time  0.232167
2021-09-11 03:29:35.302943 : Epoch  5, Batch     88, Loss  0.555591, Average Loss  0.567760, Time  0.233112
2021-09-11 03:29:35.923028 : Epoch  1, Batch   1382, Loss  0.884642, Average Loss  0.874017, Time  0.245686
2021-09-11 03:29:36.828313 : Epoch  5, Batch     89, Loss  0.562190, Average Loss  0.567741, Time  0.233784
2021-09-11 03:29:38.350791 : Epoch  5, Batch     90, Loss  0.565967, Average Loss  0.567706, Time  0.233182
2021-09-11 03:29:38.523730 : CheckPoint: Validation Loss  0.00059820, Best Loss  0.00057296
2021-09-11 03:29:38.559456 : Epoch  1, Batch   1383, Loss  0.867606, Average Loss  0.873911, Time  0.250947
2021-09-11 03:29:39.985343 : Epoch  5, Batch     91, Loss  0.563778, Average Loss  0.567730, Time  0.235751
2021-09-11 03:29:40.152941 : Epoch  3, Batch   1779, Loss  0.869155, Average Loss  0.869870, Time  0.177931
2021-09-11 03:29:41.217133 : Epoch  1, Batch   1384, Loss  0.917782, Average Loss  0.874075, Time  0.238513
2021-09-11 03:29:41.525774 : Epoch  5, Batch     92, Loss  0.553581, Average Loss  0.567596, Time  0.235411
2021-09-11 03:29:41.781994 : Epoch  3, Batch   1780, Loss  0.877181, Average Loss  0.869965, Time  0.171587
2021-09-11 03:29:43.070046 : Epoch  5, Batch     93, Loss  0.555740, Average Loss  0.567491, Time  0.232490
2021-09-11 03:29:43.416991 : Epoch  3, Batch   1781, Loss  0.891928, Average Loss  0.870031, Time  0.170710
2021-09-11 03:29:43.856890 : Epoch  1, Batch   1385, Loss  0.872529, Average Loss  0.874125, Time  0.244411
2021-09-11 03:29:44.593803 : Epoch  5, Batch     94, Loss  0.581997, Average Loss  0.567554, Time  0.232904
2021-09-11 03:29:45.038016 : Epoch  3, Batch   1782, Loss  0.869246, Average Loss  0.870042, Time  0.177179
2021-09-11 03:29:46.142808 : Epoch  5, Batch     95, Loss  0.559613, Average Loss  0.567517, Time  0.232067
2021-09-11 03:29:46.465351 : Epoch  1, Batch   1386, Loss  0.873613, Average Loss  0.874136, Time  0.238968
2021-09-11 03:29:46.655015 : Epoch  3, Batch   1783, Loss  0.855215, Average Loss  0.869852, Time  0.170037
2021-09-11 03:29:47.670144 : Epoch  5, Batch     96, Loss  0.556773, Average Loss  0.567477, Time  0.232841
2021-09-11 03:29:48.262903 : Epoch  3, Batch   1784, Loss  0.875508, Average Loss  0.869856, Time  0.171852
2021-09-11 03:29:49.210037 : Epoch  1, Batch   1387, Loss  0.885500, Average Loss  0.874136, Time  0.369180
2021-09-11 03:29:49.294382 : Epoch  5, Batch     97, Loss  0.562510, Average Loss  0.567481, Time  0.304389
2021-09-11 03:29:49.875876 : Epoch  3, Batch   1785, Loss  0.888145, Average Loss  0.869979, Time  0.172319
2021-09-11 03:29:50.860833 : Epoch  5, Batch     98, Loss  0.573733, Average Loss  0.567421, Time  0.232123
2021-09-11 03:29:51.490981 : Epoch  3, Batch   1786, Loss  0.865514, Average Loss  0.870035, Time  0.169805
2021-09-11 03:29:51.866261 : Epoch  1, Batch   1388, Loss  0.875490, Average Loss  0.874171, Time  0.242347
2021-09-11 03:29:52.397271 : Epoch  5, Batch     99, Loss  0.576655, Average Loss  0.567515, Time  0.232306
2021-09-11 03:29:53.106778 : Epoch  3, Batch   1787, Loss  0.826602, Average Loss  0.869725, Time  0.169891
2021-09-11 03:29:53.919955 : Epoch  5, Batch    100, Loss  0.568072, Average Loss  0.567461, Time  0.232700
2021-09-11 03:29:54.491797 : Epoch  1, Batch   1389, Loss  0.877904, Average Loss  0.874235, Time  0.246549
2021-09-11 03:29:54.702032 : Epoch  3, Batch   1788, Loss  0.850627, Average Loss  0.869612, Time  0.176093
2021-09-11 03:29:55.437873 : Epoch  5, Batch    101, Loss  0.564356, Average Loss  0.567438, Time  0.232228
2021-09-11 03:29:56.333000 : Epoch  3, Batch   1789, Loss  0.861727, Average Loss  0.869711, Time  0.169960
2021-09-11 03:29:57.112111 : Epoch  5, Batch    102, Loss  0.559566, Average Loss  0.567341, Time  0.362569
2021-09-11 03:29:57.200928 : Epoch  1, Batch   1390, Loss  0.885439, Average Loss  0.874411, Time  0.311474
2021-09-11 03:29:57.980004 : Epoch  3, Batch   1790, Loss  0.872603, Average Loss  0.869696, Time  0.172492
2021-09-11 03:29:58.634977 : Epoch  5, Batch    103, Loss  0.553361, Average Loss  0.567236, Time  0.232085
2021-09-11 03:29:59.611004 : Epoch  3, Batch   1791, Loss  0.839901, Average Loss  0.869585, Time  0.169444
2021-09-11 03:29:59.848190 : Epoch  1, Batch   1391, Loss  0.880982, Average Loss  0.874547, Time  0.256292
2021-09-11 03:30:00.161812 : Epoch  5, Batch    104, Loss  0.566078, Average Loss  0.567234, Time  0.232014
2021-09-11 03:30:01.263030 : Epoch  3, Batch   1792, Loss  0.886442, Average Loss  0.869838, Time  0.170791
2021-09-11 03:30:01.724330 : Epoch  5, Batch    105, Loss  0.573736, Average Loss  0.567285, Time  0.235046
2021-09-11 03:30:02.612024 : Epoch  1, Batch   1392, Loss  0.872103, Average Loss  0.874648, Time  0.263698
2021-09-11 03:30:02.868058 : Epoch  3, Batch   1793, Loss  0.894667, Average Loss  0.870028, Time  0.169980
2021-09-11 03:30:03.253332 : Epoch  5, Batch    106, Loss  0.555749, Average Loss  0.567237, Time  0.233176
2021-09-11 03:30:04.504988 : Epoch  3, Batch   1794, Loss  0.853941, Average Loss  0.869986, Time  0.169860
2021-09-11 03:30:04.977035 : Epoch  5, Batch    107, Loss  0.571242, Average Loss  0.567207, Time  0.234009
2021-09-11 03:30:05.233773 : Epoch  1, Batch   1393, Loss  0.865773, Average Loss  0.874595, Time  0.243412
2021-09-11 03:30:06.110981 : Epoch  3, Batch   1795, Loss  0.893965, Average Loss  0.870192, Time  0.170069
2021-09-11 03:30:06.500004 : Epoch  5, Batch    108, Loss  0.559778, Average Loss  0.567164, Time  0.232077
2021-09-11 03:30:07.749984 : Epoch  3, Batch   1796, Loss  0.842355, Average Loss  0.870233, Time  0.169920
2021-09-11 03:30:07.858070 : Epoch  1, Batch   1394, Loss  0.852063, Average Loss  0.874543, Time  0.242422
2021-09-11 03:30:08.217204 : Epoch  5, Batch    109, Loss  0.574704, Average Loss  0.567182, Time  0.254283
2021-09-11 03:30:09.377978 : Epoch  3, Batch   1797, Loss  0.869767, Average Loss  0.870200, Time  0.169474
2021-09-11 03:30:09.928329 : Epoch  5, Batch    110, Loss  0.549456, Average Loss  0.567053, Time  0.251018
2021-09-11 03:30:10.476798 : Epoch  1, Batch   1395, Loss  0.869118, Average Loss  0.874391, Time  0.242044
2021-09-11 03:30:11.014002 : Epoch  3, Batch   1798, Loss  0.878768, Average Loss  0.870079, Time  0.170002
2021-09-11 03:30:11.602527 : Epoch  5, Batch    111, Loss  0.561978, Average Loss  0.566924, Time  0.251507
2021-09-11 03:30:12.645794 : Epoch  3, Batch   1799, Loss  0.861982, Average Loss  0.869951, Time  0.169613
2021-09-11 03:30:13.211907 : Epoch  1, Batch   1396, Loss  0.878870, Average Loss  0.874384, Time  0.349497
2021-09-11 03:30:13.330824 : Epoch  5, Batch    112, Loss  0.570834, Average Loss  0.566903, Time  0.300837
2021-09-11 03:30:14.269753 : Epoch  3, Batch   1800, Loss  0.842159, Average Loss  0.869572, Time  0.169873
2021-09-11 03:30:14.876858 : Epoch  5, Batch    113, Loss  0.559027, Average Loss  0.566832, Time  0.232327
2021-09-11 03:30:15.843024 : Epoch  1, Batch   1397, Loss  0.861134, Average Loss  0.874267, Time  0.259860
2021-09-11 03:30:15.893844 : Epoch  3, Batch   1801, Loss  0.876422, Average Loss  0.869511, Time  0.170121
2021-09-11 03:30:16.396100 : Epoch  5, Batch    114, Loss  0.560347, Average Loss  0.566822, Time  0.232484
2021-09-11 03:30:17.518821 : Epoch  3, Batch   1802, Loss  0.870772, Average Loss  0.869689, Time  0.169550
2021-09-11 03:30:18.002865 : Epoch  5, Batch    115, Loss  0.566974, Average Loss  0.566750, Time  0.232632
2021-09-11 03:30:18.467150 : Epoch  1, Batch   1398, Loss  0.873420, Average Loss  0.874188, Time  0.238804
2021-09-11 03:30:19.169999 : Epoch  3, Batch   1803, Loss  0.906332, Average Loss  0.869828, Time  0.169932
2021-09-11 03:30:19.555886 : Epoch  5, Batch    116, Loss  0.563525, Average Loss  0.566636, Time  0.233274
2021-09-11 03:30:20.798879 : Epoch  3, Batch   1804, Loss  0.889240, Average Loss  0.869779, Time  0.170129
2021-09-11 03:30:21.290312 : Epoch  5, Batch    117, Loss  0.562407, Average Loss  0.566667, Time  0.439631
2021-09-11 03:30:21.352015 : Epoch  1, Batch   1399, Loss  0.865425, Average Loss  0.874039, Time  0.398246
2021-09-11 03:30:22.426013 : Epoch  3, Batch   1805, Loss  0.880439, Average Loss  0.869836, Time  0.170108
2021-09-11 03:30:22.830285 : Epoch  5, Batch    118, Loss  0.562742, Average Loss  0.566634, Time  0.232216
2021-09-11 03:30:24.003080 : Epoch  1, Batch   1400, Loss  0.859654, Average Loss  0.873969, Time  0.258995
2021-09-11 03:30:24.040825 : Epoch  3, Batch   1806, Loss  0.901696, Average Loss  0.869903, Time  0.169690
2021-09-11 03:30:24.368783 : Epoch  5, Batch    119, Loss  0.580001, Average Loss  0.566701, Time  0.232637
2021-09-11 03:30:25.659794 : Epoch  3, Batch   1807, Loss  0.860606, Average Loss  0.869907, Time  0.172589
2021-09-11 03:30:25.905844 : Epoch  5, Batch    120, Loss  0.571162, Average Loss  0.566676, Time  0.232214
2021-09-11 03:30:27.280997 : Epoch  3, Batch   1808, Loss  0.882028, Average Loss  0.870065, Time  0.169434
2021-09-11 03:30:27.428861 : Epoch  5, Batch    121, Loss  0.556412, Average Loss  0.566675, Time  0.232559
2021-09-11 03:30:28.905765 : Epoch  3, Batch   1809, Loss  0.874456, Average Loss  0.869987, Time  0.169778
2021-09-11 03:30:28.985364 : Epoch  5, Batch    122, Loss  0.572746, Average Loss  0.566760, Time  0.233979
2021-09-11 03:30:30.537989 : Epoch  3, Batch   1810, Loss  0.856063, Average Loss  0.869914, Time  0.171922
2021-09-11 03:30:32.188770 : Epoch  3, Batch   1811, Loss  0.872540, Average Loss  0.869933, Time  0.169832
2021-09-11 03:30:32.887064 : Epoch  5, Batch    123, Loss  0.557205, Average Loss  0.566681, Time  0.266453
2021-09-11 03:30:33.829845 : Epoch  3, Batch   1812, Loss  0.853305, Average Loss  0.869841, Time  0.169884
2021-09-11 03:30:34.429410 : Epoch  5, Batch    124, Loss  0.576051, Average Loss  0.566663, Time  0.240455
2021-09-11 03:30:35.453992 : Epoch  3, Batch   1813, Loss  0.861581, Average Loss  0.869697, Time  0.169746
2021-09-11 03:30:35.961446 : Epoch  5, Batch    125, Loss  0.567184, Average Loss  0.566675, Time  0.233526
2021-09-11 03:30:37.081994 : Epoch  3, Batch   1814, Loss  0.874903, Average Loss  0.869651, Time  0.169701
2021-09-11 03:30:37.705518 : Epoch  5, Batch    126, Loss  0.578879, Average Loss  0.566649, Time  0.299697
2021-09-11 03:30:38.756992 : Epoch  3, Batch   1815, Loss  0.844478, Average Loss  0.869424, Time  0.170346
2021-09-11 03:30:39.263322 : Epoch  5, Batch    127, Loss  0.570658, Average Loss  0.566701, Time  0.232761
2021-09-11 03:30:40.372988 : Epoch  3, Batch   1816, Loss  0.891299, Average Loss  0.869600, Time  0.169414
2021-09-11 03:30:40.794276 : Epoch  5, Batch    128, Loss  0.561090, Average Loss  0.566650, Time  0.231776
2021-09-11 03:30:41.978750 : Epoch  3, Batch   1817, Loss  0.854193, Average Loss  0.869605, Time  0.170152
2021-09-11 03:30:42.342266 : Epoch  5, Batch    129, Loss  0.566810, Average Loss  0.566668, Time  0.232401
2021-09-11 03:30:43.602024 : Epoch  3, Batch   1818, Loss  0.867986, Average Loss  0.869610, Time  0.170662
2021-09-11 03:30:43.864313 : Epoch  5, Batch    130, Loss  0.561937, Average Loss  0.566662, Time  0.232564
2021-09-11 03:30:45.243006 : Epoch  3, Batch   1819, Loss  0.889212, Average Loss  0.869574, Time  0.184584
2021-09-11 03:30:45.397244 : Epoch  5, Batch    131, Loss  0.562514, Average Loss  0.566573, Time  0.232016
2021-09-11 03:30:46.885031 : Epoch  3, Batch   1820, Loss  0.892619, Average Loss  0.869840, Time  0.172442
2021-09-11 03:30:47.071027 : Epoch  5, Batch    132, Loss  0.568632, Average Loss  0.566495, Time  0.251739
2021-09-11 03:30:48.501032 : Epoch  3, Batch   1821, Loss  0.847635, Average Loss  0.869641, Time  0.170097
2021-09-11 03:30:48.760405 : Epoch  5, Batch    133, Loss  0.573919, Average Loss  0.566540, Time  0.251708
2021-09-11 03:30:50.125775 : Epoch  3, Batch   1822, Loss  0.859654, Average Loss  0.869555, Time  0.171969
2021-09-11 03:30:50.427378 : Epoch  5, Batch    134, Loss  0.566381, Average Loss  0.566537, Time  0.251936
2021-09-11 03:30:51.762034 : Epoch  3, Batch   1823, Loss  0.891836, Average Loss  0.869630, Time  0.169841
2021-09-11 03:30:52.118893 : Epoch  5, Batch    135, Loss  0.551948, Average Loss  0.566487, Time  0.253098
2021-09-11 03:30:53.375823 : Epoch  3, Batch   1824, Loss  0.852344, Average Loss  0.869648, Time  0.172675
2021-09-11 03:30:53.801322 : Epoch  5, Batch    136, Loss  0.561094, Average Loss  0.566467, Time  0.251395
2021-09-11 03:30:55.003040 : Epoch  3, Batch   1825, Loss  0.902198, Average Loss  0.869775, Time  0.184685
2021-09-11 03:30:55.473195 : Epoch  5, Batch    137, Loss  0.571410, Average Loss  0.566467, Time  0.251747
2021-09-11 03:30:56.635044 : Epoch  3, Batch   1826, Loss  0.872095, Average Loss  0.869796, Time  0.173187
2021-09-11 03:30:57.011336 : Epoch  5, Batch    138, Loss  0.552729, Average Loss  0.566433, Time  0.232247
2021-09-11 03:30:58.246033 : Epoch  3, Batch   1827, Loss  0.854294, Average Loss  0.869622, Time  0.173015
2021-09-11 03:30:58.548269 : Epoch  5, Batch    139, Loss  0.559239, Average Loss  0.566415, Time  0.232165
2021-09-11 03:30:59.870775 : Epoch  3, Batch   1828, Loss  0.869865, Average Loss  0.869626, Time  0.170099
2021-09-11 03:31:00.078253 : Epoch  5, Batch    140, Loss  0.571809, Average Loss  0.566408, Time  0.232573
2021-09-11 03:31:01.508993 : Epoch  3, Batch   1829, Loss  0.892969, Average Loss  0.869756, Time  0.169878
2021-09-11 03:31:01.640306 : Epoch  5, Batch    141, Loss  0.560552, Average Loss  0.566417, Time  0.233355
2021-09-11 03:31:03.138758 : Epoch  3, Batch   1830, Loss  0.855296, Average Loss  0.869557, Time  0.169825
2021-09-11 03:31:03.313304 : Epoch  5, Batch    142, Loss  0.555752, Average Loss  0.566399, Time  0.232569
2021-09-11 03:31:04.771976 : Epoch  3, Batch   1831, Loss  0.874617, Average Loss  0.869447, Time  0.170986
2021-09-11 03:31:04.876913 : Epoch  5, Batch    143, Loss  0.560611, Average Loss  0.566307, Time  0.233786
2021-09-11 03:31:06.421037 : Epoch  3, Batch   1832, Loss  0.855123, Average Loss  0.869233, Time  0.170101
2021-09-11 03:31:07.931881 : Epoch  5, Batch    145, Loss  0.565779, Average Loss  0.566245, Time  0.232008
2021-09-11 03:31:08.063015 : Epoch  3, Batch   1833, Loss  0.843109, Average Loss  0.869021, Time  0.170046
2021-09-11 03:31:09.593836 : Epoch  5, Batch    146, Loss  0.574641, Average Loss  0.566261, Time  0.233736
2021-09-11 03:31:09.701779 : Epoch  3, Batch   1834, Loss  0.865296, Average Loss  0.869090, Time  0.169910
2021-09-11 03:31:11.150877 : Epoch  5, Batch    147, Loss  0.565171, Average Loss  0.566246, Time  0.233370
2021-09-11 03:31:11.332749 : Epoch  3, Batch   1835, Loss  0.866006, Average Loss  0.868845, Time  0.169754
2021-09-11 03:31:12.763263 : Epoch  5, Batch    148, Loss  0.559315, Average Loss  0.566217, Time  0.232354
2021-09-11 03:31:12.960761 : Epoch  3, Batch   1836, Loss  0.896190, Average Loss  0.868981, Time  0.169932
2021-09-11 03:31:14.284027 : Epoch  5, Batch    149, Loss  0.551363, Average Loss  0.566120, Time  0.232021
2021-09-11 03:31:14.587814 : Epoch  3, Batch   1837, Loss  0.861427, Average Loss  0.869063, Time  0.169663
2021-09-11 03:31:15.811301 : Epoch  5, Batch    150, Loss  0.549301, Average Loss  0.566034, Time  0.232392
2021-09-11 03:31:16.205806 : Epoch  3, Batch   1838, Loss  0.900226, Average Loss  0.869072, Time  0.169858
2021-09-11 03:31:17.410009 : Epoch  5, Batch    151, Loss  0.558038, Average Loss  0.565901, Time  0.315680
2021-09-11 03:31:17.842857 : Epoch  3, Batch   1839, Loss  0.866301, Average Loss  0.869086, Time  0.169621
2021-09-11 03:31:18.973737 : Epoch  5, Batch    152, Loss  0.567452, Average Loss  0.565865, Time  0.234133
2021-09-11 03:31:19.468918 : Epoch  3, Batch   1840, Loss  0.851231, Average Loss  0.869010, Time  0.170418
2021-09-11 03:31:21.096730 : Epoch  3, Batch   1841, Loss  0.872806, Average Loss  0.868941, Time  0.170123
2021-09-11 03:31:22.724822 : Epoch  3, Batch   1842, Loss  0.877992, Average Loss  0.869059, Time  0.169922
2021-09-11 03:31:24.347827 : Epoch  3, Batch   1843, Loss  0.875770, Average Loss  0.869188, Time  0.169690
2021-09-11 03:31:25.970983 : Epoch  3, Batch   1844, Loss  0.881834, Average Loss  0.869139, Time  0.169784
2021-09-11 03:31:27.609801 : Epoch  3, Batch   1845, Loss  0.867914, Average Loss  0.869242, Time  0.169841
2021-09-11 03:31:29.237988 : Epoch  3, Batch   1846, Loss  0.859700, Average Loss  0.869240, Time  0.169547
2021-09-11 03:31:30.863001 : Epoch  3, Batch   1847, Loss  0.851805, Average Loss  0.869127, Time  0.170177
2021-09-11 03:31:32.480758 : Epoch  3, Batch   1848, Loss  0.877383, Average Loss  0.869229, Time  0.169940
2021-09-11 03:31:34.127832 : Epoch  3, Batch   1849, Loss  0.889941, Average Loss  0.869266, Time  0.169704
2021-09-11 03:31:35.764820 : Epoch  3, Batch   1850, Loss  0.849550, Average Loss  0.869268, Time  0.169643
2021-09-11 03:31:37.391749 : Epoch  3, Batch   1851, Loss  0.859020, Average Loss  0.869342, Time  0.170129
2021-09-11 03:31:39.048820 : Epoch  3, Batch   1852, Loss  0.868102, Average Loss  0.869380, Time  0.169740
2021-09-11 03:31:40.682000 : Epoch  3, Batch   1853, Loss  0.857161, Average Loss  0.869245, Time  0.169824
2021-09-11 03:31:42.315804 : Epoch  3, Batch   1854, Loss  0.867066, Average Loss  0.869246, Time  0.170045
2021-09-11 03:31:43.957739 : Epoch  3, Batch   1855, Loss  0.902291, Average Loss  0.869241, Time  0.169986
2021-09-11 03:31:45.595801 : Epoch  3, Batch   1856, Loss  0.856328, Average Loss  0.869179, Time  0.169846
2021-09-11 03:31:47.229786 : Epoch  3, Batch   1857, Loss  0.879283, Average Loss  0.869143, Time  0.169742
2021-09-11 03:31:48.853988 : Epoch  3, Batch   1858, Loss  0.864261, Average Loss  0.869148, Time  0.169356
2021-09-11 03:31:50.482771 : Epoch  3, Batch   1859, Loss  0.851641, Average Loss  0.869037, Time  0.170105
2021-09-11 03:31:52.113992 : Epoch  3, Batch   1860, Loss  0.901168, Average Loss  0.869186, Time  0.170624
2021-09-11 03:31:53.734001 : Epoch  3, Batch   1861, Loss  0.842181, Average Loss  0.869151, Time  0.169825
2021-09-11 03:31:55.350001 : Epoch  3, Batch   1862, Loss  0.862807, Average Loss  0.869279, Time  0.171160
2021-09-11 03:31:56.980982 : Epoch  3, Batch   1863, Loss  0.876747, Average Loss  0.869338, Time  0.169775
2021-09-11 03:31:58.601980 : Epoch  3, Batch   1864, Loss  0.881001, Average Loss  0.869349, Time  0.169836
2021-09-11 03:32:00.226996 : Epoch  3, Batch   1865, Loss  0.885356, Average Loss  0.869368, Time  0.171932
2021-09-11 03:32:01.873016 : Epoch  3, Batch   1866, Loss  0.870497, Average Loss  0.869241, Time  0.169780
2021-09-11 03:32:03.492995 : Epoch  3, Batch   1867, Loss  0.857383, Average Loss  0.869326, Time  0.169749
2021-09-11 03:32:05.131756 : Epoch  3, Batch   1868, Loss  0.855284, Average Loss  0.869244, Time  0.170269
2021-09-11 03:32:06.762739 : Epoch  3, Batch   1869, Loss  0.877463, Average Loss  0.869306, Time  0.169960
2021-09-11 03:32:08.395977 : Epoch  3, Batch   1870, Loss  0.884089, Average Loss  0.869360, Time  0.169747
2021-09-11 03:32:10.003398 : Epoch  3, Batch   1871, Loss  0.867340, Average Loss  0.869496, Time  0.170690
2021-09-11 03:32:11.604013 : Epoch  3, Batch   1872, Loss  0.880043, Average Loss  0.869489, Time  0.169960
2021-09-11 03:32:13.232990 : Epoch  3, Batch   1873, Loss  0.838906, Average Loss  0.869184, Time  0.169865
2021-09-11 03:32:14.857992 : Epoch  3, Batch   1874, Loss  0.861063, Average Loss  0.869169, Time  0.169491
2021-09-11 03:32:15.585749 : CheckPoint: Validation Loss  0.00022844, Best Loss  0.00022844
2021-09-11 03:32:15.662580 : Best Model Updated
2021-09-11 03:32:16.481981 : Epoch  3, Batch   1875, Loss  0.860664, Average Loss  0.869192, Time  0.169625
2021-09-11 03:32:18.124993 : Epoch  3, Batch   1876, Loss  0.860353, Average Loss  0.869198, Time  0.170154
2021-09-11 03:32:18.333964 : Epoch  5, Batch    153, Loss  0.573023, Average Loss  0.565976, Time  0.265588
2021-09-11 03:32:19.743881 : Epoch  3, Batch   1877, Loss  0.845187, Average Loss  0.868976, Time  0.169788
2021-09-11 03:32:19.937022 : Epoch  5, Batch    154, Loss  0.562392, Average Loss  0.565952, Time  0.315779
2021-09-11 03:32:21.385756 : Epoch  3, Batch   1878, Loss  0.846451, Average Loss  0.868931, Time  0.172123
2021-09-11 03:32:21.615152 : Epoch  5, Batch    155, Loss  0.559611, Average Loss  0.565858, Time  0.251281
2021-09-11 03:32:23.137989 : Epoch  5, Batch    156, Loss  0.565762, Average Loss  0.565772, Time  0.232858
2021-09-11 03:32:24.842986 : Epoch  5, Batch    157, Loss  0.578601, Average Loss  0.565829, Time  0.316577
2021-09-11 03:32:26.364398 : Epoch  5, Batch    158, Loss  0.562884, Average Loss  0.565831, Time  0.232155
2021-09-11 03:32:27.874295 : Epoch  5, Batch    159, Loss  0.566631, Average Loss  0.565853, Time  0.232759
2021-09-11 03:32:29.397757 : Epoch  5, Batch    160, Loss  0.562171, Average Loss  0.565896, Time  0.232568
2021-09-11 03:32:30.932869 : Epoch  5, Batch    161, Loss  0.561640, Average Loss  0.565850, Time  0.232563
2021-09-11 03:32:32.459955 : Epoch  5, Batch    162, Loss  0.567812, Average Loss  0.565834, Time  0.233730
2021-09-11 03:32:33.998743 : Epoch  5, Batch    163, Loss  0.565328, Average Loss  0.565802, Time  0.232781
2021-09-11 03:32:35.673007 : Epoch  5, Batch    164, Loss  0.579795, Average Loss  0.565945, Time  0.251967
2021-09-11 03:32:37.359861 : Epoch  5, Batch    165, Loss  0.563813, Average Loss  0.565935, Time  0.251274
2021-09-11 03:32:39.117492 : Epoch  5, Batch    166, Loss  0.562646, Average Loss  0.565880, Time  0.333449
2021-09-11 03:32:40.727070 : Epoch  5, Batch    167, Loss  0.568864, Average Loss  0.565937, Time  0.252835
2021-09-11 03:32:42.400969 : Epoch  5, Batch    168, Loss  0.540381, Average Loss  0.565782, Time  0.251075
2021-09-11 03:32:44.098799 : Epoch  5, Batch    169, Loss  0.570973, Average Loss  0.565764, Time  0.260428
2021-09-11 03:32:45.787091 : Epoch  5, Batch    170, Loss  0.562327, Average Loss  0.565732, Time  0.253701
2021-09-11 03:32:47.325055 : Epoch  5, Batch    171, Loss  0.564333, Average Loss  0.565678, Time  0.232746
2021-09-11 03:32:48.923866 : Epoch  5, Batch    172, Loss  0.559281, Average Loss  0.565658, Time  0.285354
2021-09-11 03:32:50.446905 : Epoch  5, Batch    173, Loss  0.564636, Average Loss  0.565706, Time  0.232354
2021-09-11 03:32:51.958886 : Epoch  5, Batch    174, Loss  0.568276, Average Loss  0.565698, Time  0.231784
2021-09-11 03:32:53.475027 : Epoch  5, Batch    175, Loss  0.553240, Average Loss  0.565654, Time  0.232059
2021-09-11 03:32:55.005074 : Epoch  5, Batch    176, Loss  0.546950, Average Loss  0.565601, Time  0.232377
2021-09-11 03:32:56.517244 : Epoch  5, Batch    177, Loss  0.575883, Average Loss  0.565632, Time  0.231929
2021-09-11 03:32:58.042924 : Epoch  5, Batch    178, Loss  0.562625, Average Loss  0.565677, Time  0.231869
2021-09-11 03:32:59.715026 : Epoch  5, Batch    179, Loss  0.559119, Average Loss  0.565608, Time  0.251579
2021-09-11 03:33:01.388770 : Epoch  5, Batch    180, Loss  0.557957, Average Loss  0.565572, Time  0.252257
2021-09-11 03:33:03.070628 : Epoch  5, Batch    181, Loss  0.555134, Average Loss  0.565511, Time  0.253870
2021-09-11 03:33:04.757452 : Epoch  5, Batch    182, Loss  0.565477, Average Loss  0.565476, Time  0.252573
2021-09-11 03:33:06.425749 : Epoch  5, Batch    183, Loss  0.571143, Average Loss  0.565489, Time  0.251358
2021-09-11 03:33:08.149809 : Epoch  5, Batch    184, Loss  0.560982, Average Loss  0.565516, Time  0.303298
2021-09-11 03:33:09.864873 : Epoch  5, Batch    185, Loss  0.562308, Average Loss  0.565389, Time  0.251681
2021-09-11 03:33:11.389822 : Epoch  5, Batch    186, Loss  0.564602, Average Loss  0.565347, Time  0.231779
2021-09-11 03:33:12.941352 : Epoch  5, Batch    187, Loss  0.567563, Average Loss  0.565346, Time  0.247694
2021-09-11 03:33:14.520019 : Epoch  5, Batch    188, Loss  0.561861, Average Loss  0.565316, Time  0.237106
2021-09-11 03:33:16.042263 : Epoch  5, Batch    189, Loss  0.571369, Average Loss  0.565283, Time  0.231904
2021-09-11 03:33:17.651853 : Epoch  5, Batch    190, Loss  0.563062, Average Loss  0.565273, Time  0.313139
2021-09-11 03:33:19.483985 : Epoch  5, Batch    191, Loss  0.555229, Average Loss  0.565233, Time  0.235269
2021-09-11 03:33:21.014284 : Epoch  5, Batch    192, Loss  0.551112, Average Loss  0.565193, Time  0.233145
2021-09-11 03:33:22.586893 : Epoch  5, Batch    193, Loss  0.574375, Average Loss  0.565231, Time  0.276181
2021-09-11 03:33:24.097922 : Epoch  5, Batch    194, Loss  0.545805, Average Loss  0.565070, Time  0.232127
2021-09-11 03:33:25.616879 : Epoch  5, Batch    195, Loss  0.565816, Average Loss  0.565077, Time  0.232294
2021-09-11 03:33:27.354767 : Epoch  5, Batch    196, Loss  0.564310, Average Loss  0.565074, Time  0.313545
2021-09-11 03:33:28.870364 : Epoch  5, Batch    197, Loss  0.564307, Average Loss  0.565120, Time  0.232862
2021-09-11 03:33:30.404259 : Epoch  5, Batch    198, Loss  0.551043, Average Loss  0.565078, Time  0.233001
2021-09-11 03:33:31.934119 : Epoch  5, Batch    199, Loss  0.566297, Average Loss  0.565049, Time  0.232050
2021-09-11 03:33:33.456852 : Epoch  5, Batch    200, Loss  0.561744, Average Loss  0.564976, Time  0.231989
2021-09-11 03:33:34.985861 : Epoch  5, Batch    201, Loss  0.571782, Average Loss  0.564913, Time  0.232491
2021-09-11 03:33:36.511780 : Epoch  5, Batch    202, Loss  0.567597, Average Loss  0.564958, Time  0.231800
2021-09-11 03:33:38.035262 : Epoch  5, Batch    203, Loss  0.559746, Average Loss  0.564944, Time  0.235227
2021-09-11 03:33:39.615865 : Epoch  5, Batch    204, Loss  0.570198, Average Loss  0.564969, Time  0.233793
2021-09-11 03:33:41.296867 : Epoch  5, Batch    205, Loss  0.547516, Average Loss  0.564853, Time  0.251078
2021-09-11 03:33:42.878288 : Epoch  5, Batch    206, Loss  0.556115, Average Loss  0.564793, Time  0.232188
2021-09-11 03:33:44.398801 : Epoch  5, Batch    207, Loss  0.565602, Average Loss  0.564707, Time  0.232298
2021-09-11 03:33:45.920289 : Epoch  5, Batch    208, Loss  0.561570, Average Loss  0.564704, Time  0.231730
2021-09-11 03:33:47.439819 : Epoch  5, Batch    209, Loss  0.552963, Average Loss  0.564690, Time  0.232095
2021-09-11 03:33:49.137071 : Epoch  5, Batch    210, Loss  0.555516, Average Loss  0.564640, Time  0.258421
2021-09-11 03:33:50.724924 : Epoch  5, Batch    211, Loss  0.566088, Average Loss  0.564594, Time  0.235568
2021-09-11 03:33:52.274776 : Epoch  5, Batch    212, Loss  0.575941, Average Loss  0.564594, Time  0.231034
2021-09-11 03:33:53.801443 : Epoch  5, Batch    213, Loss  0.556780, Average Loss  0.564597, Time  0.232171
2021-09-11 03:33:55.319427 : Epoch  5, Batch    214, Loss  0.576549, Average Loss  0.564600, Time  0.232654
2021-09-11 03:33:56.858820 : Epoch  5, Batch    215, Loss  0.571589, Average Loss  0.564656, Time  0.232136
2021-09-11 03:33:58.485161 : Epoch  5, Batch    216, Loss  0.567107, Average Loss  0.564712, Time  0.314157
2021-09-11 03:34:00.015874 : Epoch  5, Batch    217, Loss  0.554984, Average Loss  0.564624, Time  0.231662
2021-09-11 03:34:01.540217 : Epoch  5, Batch    218, Loss  0.574372, Average Loss  0.564682, Time  0.232018
2021-09-11 03:34:03.069534 : Epoch  5, Batch    219, Loss  0.570301, Average Loss  0.564723, Time  0.232631
2021-09-11 03:34:04.712168 : Epoch  5, Batch    220, Loss  0.566575, Average Loss  0.564723, Time  0.232101
2021-09-11 03:34:06.238279 : Epoch  5, Batch    221, Loss  0.561247, Average Loss  0.564671, Time  0.231797
2021-09-11 03:34:08.010431 : Epoch  5, Batch    222, Loss  0.555951, Average Loss  0.564604, Time  0.334640
2021-09-11 03:34:12.005777 : Epoch  5, Batch    223, Loss  0.564671, Average Loss  0.564609, Time  0.232496
2021-09-11 03:34:13.552191 : Epoch  5, Batch    224, Loss  0.559295, Average Loss  0.564592, Time  0.233157
2021-09-11 03:34:15.120868 : Epoch  5, Batch    225, Loss  0.565043, Average Loss  0.564565, Time  0.272529
2021-09-11 03:34:16.656844 : Epoch  5, Batch    226, Loss  0.546947, Average Loss  0.564501, Time  0.232150
2021-09-11 03:34:18.185960 : Epoch  5, Batch    227, Loss  0.573006, Average Loss  0.564404, Time  0.232382
2021-09-11 03:34:19.711869 : Epoch  5, Batch    228, Loss  0.552218, Average Loss  0.564317, Time  0.232369
2021-09-11 03:34:21.240231 : Epoch  5, Batch    229, Loss  0.571780, Average Loss  0.564341, Time  0.231836
2021-09-11 03:34:22.785897 : Epoch  5, Batch    230, Loss  0.554359, Average Loss  0.564311, Time  0.233290
2021-09-11 03:34:24.341246 : Epoch  5, Batch    231, Loss  0.562458, Average Loss  0.564287, Time  0.231815
2021-09-11 03:34:25.871253 : Epoch  5, Batch    232, Loss  0.571168, Average Loss  0.564343, Time  0.232197
2021-09-11 03:34:27.549894 : Epoch  5, Batch    233, Loss  0.574908, Average Loss  0.564396, Time  0.251774
2021-09-11 03:34:28.658704 : CheckPoint: Validation Loss  0.00030333, Best Loss  0.00029681
2021-09-11 03:34:29.226141 : Epoch  5, Batch    234, Loss  0.553582, Average Loss  0.564308, Time  0.251417
2021-09-11 03:34:30.913435 : Epoch  5, Batch    235, Loss  0.561886, Average Loss  0.564279, Time  0.252559
2021-09-11 03:34:31.272620 : Epoch  1, Batch   1401, Loss  0.853829, Average Loss  0.873822, Time  0.240917
2021-09-11 03:34:32.610393 : Epoch  5, Batch    236, Loss  0.569147, Average Loss  0.564265, Time  0.252289
2021-09-11 03:34:33.891253 : Epoch  1, Batch   1402, Loss  0.868629, Average Loss  0.873781, Time  0.240333
2021-09-11 03:34:34.297909 : Epoch  5, Batch    237, Loss  0.565264, Average Loss  0.564253, Time  0.257734
2021-09-11 03:34:35.987379 : Epoch  5, Batch    238, Loss  0.582001, Average Loss  0.564287, Time  0.251619
2021-09-11 03:34:36.525089 : Epoch  1, Batch   1403, Loss  0.860207, Average Loss  0.873657, Time  0.246096
2021-09-11 03:34:37.663210 : Epoch  5, Batch    239, Loss  0.573970, Average Loss  0.564328, Time  0.251647
2021-09-11 03:34:39.228419 : Epoch  1, Batch   1404, Loss  0.883646, Average Loss  0.873778, Time  0.327297
2021-09-11 03:34:39.371123 : Epoch  5, Batch    240, Loss  0.559436, Average Loss  0.564248, Time  0.286093
2021-09-11 03:34:41.055157 : Epoch  5, Batch    241, Loss  0.562270, Average Loss  0.564258, Time  0.253034
2021-09-11 03:34:41.846995 : Epoch  1, Batch   1405, Loss  0.867276, Average Loss  0.873757, Time  0.241967
2021-09-11 03:34:42.740880 : Epoch  5, Batch    242, Loss  0.553015, Average Loss  0.564168, Time  0.252508
2021-09-11 03:34:44.626823 : Epoch  5, Batch    243, Loss  0.568213, Average Loss  0.564174, Time  0.453477
2021-09-11 03:34:44.677869 : Epoch  1, Batch   1406, Loss  0.868234, Average Loss  0.873706, Time  0.372566
2021-09-11 03:34:46.154839 : Epoch  5, Batch    244, Loss  0.581258, Average Loss  0.564228, Time  0.232368
2021-09-11 03:34:47.382156 : Epoch  1, Batch   1407, Loss  0.884389, Average Loss  0.873855, Time  0.261031
2021-09-11 03:34:47.701061 : Epoch  5, Batch    245, Loss  0.548488, Average Loss  0.564145, Time  0.233574
2021-09-11 03:34:49.370836 : Epoch  5, Batch    246, Loss  0.558665, Average Loss  0.564047, Time  0.232739
2021-09-11 03:34:50.109697 : Epoch  1, Batch   1408, Loss  0.861734, Average Loss  0.873978, Time  0.331353
2021-09-11 03:34:50.905599 : Epoch  5, Batch    247, Loss  0.562385, Average Loss  0.564008, Time  0.232553
2021-09-11 03:34:52.440944 : Epoch  5, Batch    248, Loss  0.582285, Average Loss  0.564087, Time  0.232499
2021-09-11 03:34:52.822278 : Epoch  1, Batch   1409, Loss  0.865356, Average Loss  0.873952, Time  0.264026
2021-09-11 03:34:53.985198 : Epoch  5, Batch    249, Loss  0.553072, Average Loss  0.564067, Time  0.231959
2021-09-11 03:34:55.718338 : Epoch  1, Batch   1410, Loss  0.896034, Average Loss  0.874030, Time  0.454348
2021-09-11 03:34:55.771364 : Epoch  5, Batch    250, Loss  0.550824, Average Loss  0.564035, Time  0.467115
2021-09-11 03:34:57.450471 : Epoch  5, Batch    251, Loss  0.567648, Average Loss  0.563968, Time  0.234591
2021-09-11 03:34:58.363201 : Epoch  1, Batch   1411, Loss  0.882253, Average Loss  0.874074, Time  0.260923
2021-09-11 03:34:58.989854 : Epoch  5, Batch    252, Loss  0.557079, Average Loss  0.563960, Time  0.233841
2021-09-11 03:35:01.132076 : Epoch  1, Batch   1412, Loss  0.891002, Average Loss  0.874266, Time  0.249579
2021-09-11 03:35:03.800839 : Epoch  1, Batch   1413, Loss  0.895611, Average Loss  0.874436, Time  0.262032
2021-09-11 03:35:06.421853 : Epoch  1, Batch   1414, Loss  0.854613, Average Loss  0.874351, Time  0.243682
2021-09-11 03:35:09.044846 : Epoch  1, Batch   1415, Loss  0.868337, Average Loss  0.874227, Time  0.241997
2021-09-11 03:35:11.656978 : Epoch  1, Batch   1416, Loss  0.876570, Average Loss  0.874242, Time  0.247978
2021-09-11 03:35:14.279389 : Epoch  1, Batch   1417, Loss  0.862167, Average Loss  0.874184, Time  0.241465
2021-09-11 03:35:16.903055 : Epoch  1, Batch   1418, Loss  0.854185, Average Loss  0.874036, Time  0.245083
2021-09-11 03:35:19.524004 : Epoch  1, Batch   1419, Loss  0.878303, Average Loss  0.874051, Time  0.244763
2021-09-11 03:35:22.151477 : Epoch  1, Batch   1420, Loss  0.883118, Average Loss  0.873988, Time  0.247759
2021-09-11 03:35:24.764018 : Epoch  1, Batch   1421, Loss  0.881618, Average Loss  0.873916, Time  0.240144
2021-09-11 03:35:27.478998 : Epoch  1, Batch   1422, Loss  0.870641, Average Loss  0.873951, Time  0.265395
2021-09-11 03:35:30.221934 : Epoch  1, Batch   1423, Loss  0.858707, Average Loss  0.873926, Time  0.262866
2021-09-11 03:35:32.899479 : Epoch  1, Batch   1424, Loss  0.883637, Average Loss  0.874051, Time  0.239953
2021-09-11 03:35:35.546937 : Epoch  1, Batch   1425, Loss  0.842342, Average Loss  0.873838, Time  0.246441
2021-09-11 03:35:38.165303 : Epoch  1, Batch   1426, Loss  0.879198, Average Loss  0.873991, Time  0.246341
2021-09-11 03:35:40.798908 : Epoch  1, Batch   1427, Loss  0.883123, Average Loss  0.874079, Time  0.242707
2021-09-11 03:35:43.418257 : Epoch  1, Batch   1428, Loss  0.858753, Average Loss  0.874100, Time  0.241068
2021-09-11 03:35:46.075489 : Epoch  1, Batch   1429, Loss  0.873242, Average Loss  0.874044, Time  0.244865
2021-09-11 03:35:48.815448 : Epoch  1, Batch   1430, Loss  0.865242, Average Loss  0.873964, Time  0.357172
2021-09-11 03:35:51.516412 : Epoch  1, Batch   1431, Loss  0.882842, Average Loss  0.873979, Time  0.323218
2021-09-11 03:35:54.217049 : Epoch  1, Batch   1432, Loss  0.882516, Average Loss  0.873996, Time  0.324392
2021-09-11 03:35:55.810863 : CheckPoint: Validation Loss  0.00023111, Best Loss  0.00022844
2021-09-11 03:35:57.009456 : Epoch  1, Batch   1433, Loss  0.864601, Average Loss  0.873947, Time  0.282723
2021-09-11 03:35:57.348456 : Epoch  5, Batch    253, Loss  0.562367, Average Loss  0.563934, Time  0.232348
2021-09-11 03:35:59.022854 : Epoch  5, Batch    254, Loss  0.567745, Average Loss  0.563900, Time  0.251036
2021-09-11 03:35:59.627110 : Epoch  1, Batch   1434, Loss  0.888622, Average Loss  0.874150, Time  0.242861
2021-09-11 03:36:00.705049 : Epoch  5, Batch    255, Loss  0.558211, Average Loss  0.563884, Time  0.251318
2021-09-11 03:36:02.379165 : Epoch  1, Batch   1435, Loss  0.898347, Average Loss  0.874229, Time  0.380968
2021-09-11 03:36:02.469387 : Epoch  5, Batch    256, Loss  0.571287, Average Loss  0.563907, Time  0.332214
2021-09-11 03:36:04.031780 : Epoch  5, Batch    257, Loss  0.570378, Average Loss  0.563923, Time  0.251840
2021-09-11 03:36:05.008983 : Epoch  1, Batch   1436, Loss  0.892893, Average Loss  0.874200, Time  0.261229
2021-09-11 03:36:05.621713 : Epoch  5, Batch    258, Loss  0.563698, Average Loss  0.563927, Time  0.231889
2021-09-11 03:36:07.292959 : Epoch  5, Batch    259, Loss  0.550841, Average Loss  0.563849, Time  0.253115
2021-09-11 03:36:07.722473 : Epoch  1, Batch   1437, Loss  0.873967, Average Loss  0.874140, Time  0.244720
2021-09-11 03:36:08.840777 : Epoch  5, Batch    260, Loss  0.552974, Average Loss  0.563722, Time  0.233601
2021-09-11 03:36:10.545130 : Epoch  1, Batch   1438, Loss  0.871830, Average Loss  0.873983, Time  0.446042
2021-09-11 03:36:10.594020 : Epoch  5, Batch    261, Loss  0.553519, Average Loss  0.563707, Time  0.399170
2021-09-11 03:36:12.092563 : Epoch  5, Batch    262, Loss  0.547447, Average Loss  0.563664, Time  0.232316
2021-09-11 03:36:13.178175 : Epoch  1, Batch   1439, Loss  0.877764, Average Loss  0.874040, Time  0.239201
2021-09-11 03:36:13.775653 : Epoch  5, Batch    263, Loss  0.562727, Average Loss  0.563635, Time  0.237883
2021-09-11 03:36:15.317054 : Epoch  5, Batch    264, Loss  0.569909, Average Loss  0.563614, Time  0.234527
2021-09-11 03:36:15.857988 : Epoch  1, Batch   1440, Loss  0.867627, Average Loss  0.874020, Time  0.292745
2021-09-11 03:36:16.834774 : Epoch  5, Batch    265, Loss  0.562047, Average Loss  0.563611, Time  0.232216
2021-09-11 03:36:18.531326 : Epoch  5, Batch    266, Loss  0.548670, Average Loss  0.563489, Time  0.398764
2021-09-11 03:36:18.578215 : Epoch  1, Batch   1441, Loss  0.882326, Average Loss  0.874122, Time  0.343527
2021-09-11 03:36:20.057909 : Epoch  5, Batch    267, Loss  0.569084, Average Loss  0.563526, Time  0.233250
2021-09-11 03:36:21.177286 : Epoch  1, Batch   1442, Loss  0.874788, Average Loss  0.874137, Time  0.239988
2021-09-11 03:36:21.607351 : Epoch  5, Batch    268, Loss  0.564938, Average Loss  0.563612, Time  0.232441
2021-09-11 03:36:23.126859 : Epoch  5, Batch    269, Loss  0.564548, Average Loss  0.563595, Time  0.231838
2021-09-11 03:36:23.884322 : Epoch  1, Batch   1443, Loss  0.872837, Average Loss  0.874133, Time  0.309969
2021-09-11 03:36:24.641106 : Epoch  5, Batch    270, Loss  0.573436, Average Loss  0.563661, Time  0.231836
2021-09-11 03:36:26.164009 : Epoch  5, Batch    271, Loss  0.561903, Average Loss  0.563622, Time  0.233407
2021-09-11 03:36:26.553822 : Epoch  1, Batch   1444, Loss  0.879483, Average Loss  0.874004, Time  0.280675
2021-09-11 03:36:27.705302 : Epoch  5, Batch    272, Loss  0.571543, Average Loss  0.563600, Time  0.233181
2021-09-11 03:36:29.272995 : Epoch  1, Batch   1445, Loss  0.880651, Average Loss  0.874058, Time  0.326811
2021-09-11 03:36:29.424811 : Epoch  5, Batch    273, Loss  0.566660, Average Loss  0.563626, Time  0.292778
2021-09-11 03:36:31.086894 : Epoch  5, Batch    274, Loss  0.566392, Average Loss  0.563653, Time  0.251199
2021-09-11 03:36:31.886810 : Epoch  1, Batch   1446, Loss  0.856472, Average Loss  0.873927, Time  0.242647
2021-09-11 03:36:32.843512 : Epoch  5, Batch    275, Loss  0.561700, Average Loss  0.563638, Time  0.234644
2021-09-11 03:36:34.684357 : Epoch  5, Batch    276, Loss  0.559344, Average Loss  0.563648, Time  0.447533
2021-09-11 03:36:34.730936 : Epoch  1, Batch   1447, Loss  0.861312, Average Loss  0.873876, Time  0.419295
2021-09-11 03:36:36.204056 : Epoch  5, Batch    277, Loss  0.568359, Average Loss  0.563641, Time  0.232286
2021-09-11 03:36:37.353421 : Epoch  1, Batch   1448, Loss  0.885300, Average Loss  0.873847, Time  0.243694
2021-09-11 03:36:37.733265 : Epoch  5, Batch    278, Loss  0.558483, Average Loss  0.563622, Time  0.231951
2021-09-11 03:36:39.266089 : Epoch  5, Batch    279, Loss  0.561789, Average Loss  0.563644, Time  0.234481
2021-09-11 03:36:39.983104 : Epoch  1, Batch   1449, Loss  0.881772, Average Loss  0.873898, Time  0.242149
2021-09-11 03:36:40.793306 : Epoch  5, Batch    280, Loss  0.561006, Average Loss  0.563545, Time  0.232632
2021-09-11 03:36:42.326814 : Epoch  5, Batch    281, Loss  0.558047, Average Loss  0.563486, Time  0.232148
2021-09-11 03:36:42.607844 : Epoch  1, Batch   1450, Loss  0.880660, Average Loss  0.873953, Time  0.249075
2021-09-11 03:36:43.865314 : Epoch  5, Batch    282, Loss  0.564740, Average Loss  0.563514, Time  0.231882
2021-09-11 03:36:45.340284 : Epoch  1, Batch   1451, Loss  0.880933, Average Loss  0.874051, Time  0.358524
2021-09-11 03:36:45.434009 : Epoch  5, Batch    283, Loss  0.563524, Average Loss  0.563451, Time  0.290036
2021-09-11 03:36:46.997862 : Epoch  5, Batch    284, Loss  0.557080, Average Loss  0.563415, Time  0.232408
2021-09-11 03:36:47.968242 : Epoch  1, Batch   1452, Loss  0.890110, Average Loss  0.874055, Time  0.244343
2021-09-11 03:36:48.654817 : Epoch  5, Batch    285, Loss  0.550648, Average Loss  0.563397, Time  0.251699
2021-09-11 03:36:50.337322 : Epoch  5, Batch    286, Loss  0.540231, Average Loss  0.563251, Time  0.255347
2021-09-11 03:36:50.588462 : Epoch  1, Batch   1453, Loss  0.879275, Average Loss  0.873981, Time  0.245367
2021-09-11 03:36:52.011032 : Epoch  5, Batch    287, Loss  0.579238, Average Loss  0.563286, Time  0.252529
2021-09-11 03:36:53.204838 : Epoch  1, Batch   1454, Loss  0.884601, Average Loss  0.874125, Time  0.244560
2021-09-11 03:36:53.724327 : Epoch  5, Batch    288, Loss  0.574783, Average Loss  0.563382, Time  0.251897
2021-09-11 03:36:55.385221 : Epoch  5, Batch    289, Loss  0.558047, Average Loss  0.563361, Time  0.250467
2021-09-11 03:36:55.908979 : Epoch  1, Batch   1455, Loss  0.877439, Average Loss  0.874137, Time  0.308519
2021-09-11 03:36:56.903921 : Epoch  5, Batch    290, Loss  0.559354, Average Loss  0.563328, Time  0.235563
2021-09-11 03:36:58.698891 : Epoch  1, Batch   1456, Loss  0.882515, Average Loss  0.874146, Time  0.426018
2021-09-11 03:36:58.746993 : Epoch  5, Batch    291, Loss  0.568248, Average Loss  0.563350, Time  0.381382
2021-09-11 03:37:00.386102 : Epoch  5, Batch    292, Loss  0.580408, Average Loss  0.563484, Time  0.233220
2021-09-11 03:37:01.308113 : Epoch  1, Batch   1457, Loss  0.888390, Average Loss  0.874205, Time  0.246241
2021-09-11 03:37:01.532744 : CheckPoint: Validation Loss  0.00059632, Best Loss  0.00057296
2021-09-11 03:37:01.925875 : Epoch  5, Batch    293, Loss  0.542272, Average Loss  0.563417, Time  0.231987
2021-09-11 03:37:03.154870 : Epoch  3, Batch   1879, Loss  0.849288, Average Loss  0.869129, Time  0.186774
2021-09-11 03:37:03.460312 : Epoch  5, Batch    294, Loss  0.554671, Average Loss  0.563280, Time  0.231901
2021-09-11 03:37:04.005627 : Epoch  1, Batch   1458, Loss  0.861816, Average Loss  0.874112, Time  0.259438
2021-09-11 03:37:04.781928 : Epoch  3, Batch   1880, Loss  0.884716, Average Loss  0.869294, Time  0.172681
2021-09-11 03:37:05.234053 : Epoch  5, Batch    295, Loss  0.555003, Average Loss  0.563257, Time  0.232706
2021-09-11 03:37:06.388315 : Epoch  3, Batch   1881, Loss  0.853411, Average Loss  0.869059, Time  0.173325
2021-09-11 03:37:06.929297 : Epoch  5, Batch    296, Loss  0.562757, Average Loss  0.563287, Time  0.412554
2021-09-11 03:37:06.975991 : Epoch  1, Batch   1459, Loss  0.878177, Average Loss  0.874071, Time  0.459671
2021-09-11 03:37:07.998011 : Epoch  3, Batch   1882, Loss  0.867878, Average Loss  0.868889, Time  0.182732
2021-09-11 03:37:08.510399 : Epoch  5, Batch    297, Loss  0.564139, Average Loss  0.563295, Time  0.232861
2021-09-11 03:37:09.595307 : Epoch  1, Batch   1460, Loss  0.873962, Average Loss  0.874119, Time  0.239253
2021-09-11 03:37:09.607021 : Epoch  3, Batch   1883, Loss  0.874521, Average Loss  0.868929, Time  0.174626
2021-09-11 03:37:10.052412 : Epoch  5, Batch    298, Loss  0.562427, Average Loss  0.563239, Time  0.233209
2021-09-11 03:37:11.226018 : Epoch  3, Batch   1884, Loss  0.875243, Average Loss  0.869026, Time  0.182821
2021-09-11 03:37:11.572430 : Epoch  5, Batch    299, Loss  0.556532, Average Loss  0.563138, Time  0.231960
2021-09-11 03:37:12.216866 : Epoch  1, Batch   1461, Loss  0.858515, Average Loss  0.874055, Time  0.246894
2021-09-11 03:37:12.881023 : Epoch  3, Batch   1885, Loss  0.868959, Average Loss  0.868793, Time  0.174373
2021-09-11 03:37:13.099325 : Epoch  5, Batch    300, Loss  0.563535, Average Loss  0.563115, Time  0.232038
2021-09-11 03:37:14.510809 : Epoch  3, Batch   1886, Loss  0.865306, Average Loss  0.868863, Time  0.170443
2021-09-11 03:37:14.969330 : Epoch  5, Batch    301, Loss  0.570842, Average Loss  0.563148, Time  0.436490
2021-09-11 03:37:15.013853 : Epoch  1, Batch   1462, Loss  0.869350, Average Loss  0.874134, Time  0.373987
2021-09-11 03:37:16.144033 : Epoch  3, Batch   1887, Loss  0.837402, Average Loss  0.868672, Time  0.170893
2021-09-11 03:37:16.494113 : Epoch  5, Batch    302, Loss  0.546834, Average Loss  0.563084, Time  0.233291
2021-09-11 03:37:17.677071 : Epoch  1, Batch   1463, Loss  0.840448, Average Loss  0.874014, Time  0.301348
2021-09-11 03:37:17.828234 : Epoch  3, Batch   1888, Loss  0.871772, Average Loss  0.868714, Time  0.170746
2021-09-11 03:37:18.010744 : Epoch  5, Batch    303, Loss  0.559692, Average Loss  0.563116, Time  0.232141
2021-09-11 03:37:19.484777 : Epoch  3, Batch   1889, Loss  0.831592, Average Loss  0.868526, Time  0.176773
2021-09-11 03:37:19.527107 : Epoch  5, Batch    304, Loss  0.578740, Average Loss  0.563179, Time  0.232075
2021-09-11 03:37:20.301952 : Epoch  1, Batch   1464, Loss  0.874236, Average Loss  0.874024, Time  0.251183
2021-09-11 03:37:21.036094 : Epoch  5, Batch    305, Loss  0.555988, Average Loss  0.563090, Time  0.232764
2021-09-11 03:37:21.140017 : Epoch  3, Batch   1890, Loss  0.879607, Average Loss  0.868526, Time  0.177454
2021-09-11 03:37:22.720900 : Epoch  5, Batch    306, Loss  0.562396, Average Loss  0.563124, Time  0.252412
2021-09-11 03:37:22.779030 : Epoch  3, Batch   1891, Loss  0.880241, Average Loss  0.868540, Time  0.170269
2021-09-11 03:37:22.967370 : Epoch  1, Batch   1465, Loss  0.869261, Average Loss  0.874044, Time  0.267979
2021-09-11 03:37:24.230475 : Epoch  5, Batch    307, Loss  0.553746, Average Loss  0.563036, Time  0.232257
2021-09-11 03:37:24.402054 : Epoch  3, Batch   1892, Loss  0.865852, Average Loss  0.868536, Time  0.170538
2021-09-11 03:37:25.858068 : Epoch  5, Batch    308, Loss  0.551530, Average Loss  0.562995, Time  0.326987
2021-09-11 03:37:25.909562 : Epoch  1, Batch   1466, Loss  0.862809, Average Loss  0.873903, Time  0.460083
2021-09-11 03:37:26.045870 : Epoch  3, Batch   1893, Loss  0.877670, Average Loss  0.868515, Time  0.170954
2021-09-11 03:37:27.538314 : Epoch  5, Batch    309, Loss  0.561734, Average Loss  0.562930, Time  0.251961
2021-09-11 03:37:27.698740 : Epoch  3, Batch   1894, Loss  0.876718, Average Loss  0.868662, Time  0.176220
2021-09-11 03:37:28.518068 : Epoch  1, Batch   1467, Loss  0.873924, Average Loss  0.873842, Time  0.240236
2021-09-11 03:37:29.204428 : Epoch  5, Batch    310, Loss  0.567467, Average Loss  0.563020, Time  0.253444
2021-09-11 03:37:29.321814 : Epoch  3, Batch   1895, Loss  0.850635, Average Loss  0.868494, Time  0.172091
2021-09-11 03:37:30.747337 : Epoch  5, Batch    311, Loss  0.563143, Average Loss  0.563026, Time  0.234406
2021-09-11 03:37:30.952002 : Epoch  3, Batch   1896, Loss  0.840544, Average Loss  0.868427, Time  0.170073
2021-09-11 03:37:31.156914 : Epoch  1, Batch   1468, Loss  0.876436, Average Loss  0.873964, Time  0.242399
2021-09-11 03:37:32.534167 : Epoch  5, Batch    312, Loss  0.554982, Average Loss  0.562947, Time  0.330093
2021-09-11 03:37:32.571998 : Epoch  3, Batch   1897, Loss  0.875850, Average Loss  0.868559, Time  0.169814
2021-09-11 03:37:33.782371 : Epoch  1, Batch   1469, Loss  0.876128, Average Loss  0.873900, Time  0.242074
2021-09-11 03:37:34.080097 : Epoch  5, Batch    313, Loss  0.543338, Average Loss  0.562868, Time  0.233181
2021-09-11 03:37:34.168782 : Epoch  3, Batch   1898, Loss  0.875267, Average Loss  0.868426, Time  0.169503
2021-09-11 03:37:35.602742 : Epoch  5, Batch    314, Loss  0.561489, Average Loss  0.562874, Time  0.232250
2021-09-11 03:37:35.787190 : Epoch  3, Batch   1899, Loss  0.888316, Average Loss  0.868463, Time  0.176034
2021-09-11 03:37:36.533892 : Epoch  1, Batch   1470, Loss  0.861535, Average Loss  0.873791, Time  0.262372
2021-09-11 03:37:37.134998 : Epoch  5, Batch    315, Loss  0.556943, Average Loss  0.562824, Time  0.232683
2021-09-11 03:37:37.450042 : Epoch  3, Batch   1900, Loss  0.878979, Average Loss  0.868510, Time  0.178824
2021-09-11 03:37:38.670856 : Epoch  5, Batch    316, Loss  0.562436, Average Loss  0.562818, Time  0.232440
2021-09-11 03:37:39.069030 : Epoch  3, Batch   1901, Loss  0.880963, Average Loss  0.868571, Time  0.179264
2021-09-11 03:37:39.196804 : Epoch  1, Batch   1471, Loss  0.875301, Average Loss  0.873811, Time  0.241085
2021-09-11 03:37:40.185893 : Epoch  5, Batch    317, Loss  0.564535, Average Loss  0.562829, Time  0.232004
2021-09-11 03:37:40.707021 : Epoch  3, Batch   1902, Loss  0.866367, Average Loss  0.868639, Time  0.174185
2021-09-11 03:37:41.911848 : Epoch  5, Batch    318, Loss  0.561737, Average Loss  0.562824, Time  0.425501
2021-09-11 03:37:41.957570 : Epoch  1, Batch   1472, Loss  0.875316, Average Loss  0.873706, Time  0.369343
2021-09-11 03:37:42.343039 : Epoch  3, Batch   1903, Loss  0.852258, Average Loss  0.868686, Time  0.172369
2021-09-11 03:37:43.234406 : Epoch  1, Batch   1473, Loss  0.834170, Average Loss  0.873451, Time  0.144237
2021-09-11 03:37:43.589039 : Epoch  5, Batch    319, Loss  0.550696, Average Loss  0.562677, Time  0.253068
2021-09-11 03:37:43.991033 : Epoch  3, Batch   1904, Loss  0.891484, Average Loss  0.868897, Time  0.183557
2021-09-11 03:37:45.259637 : Epoch  5, Batch    320, Loss  0.569365, Average Loss  0.562668, Time  0.252808
2021-09-11 03:37:45.641031 : Epoch  3, Batch   1905, Loss  0.846989, Average Loss  0.868739, Time  0.174305
2021-09-11 03:37:45.851826 : Epoch  1, Batch   1474, Loss  0.873871, Average Loss  0.873498, Time  0.238980
2021-09-11 03:37:46.923133 : Epoch  5, Batch    321, Loss  0.568734, Average Loss  0.562730, Time  0.251265
2021-09-11 03:37:47.241736 : Epoch  3, Batch   1906, Loss  0.845753, Average Loss  0.868494, Time  0.170114
2021-09-11 03:37:48.652077 : Epoch  1, Batch   1475, Loss  0.874042, Average Loss  0.873568, Time  0.422053
2021-09-11 03:37:48.709820 : Epoch  5, Batch    322, Loss  0.562358, Average Loss  0.562678, Time  0.364149
2021-09-11 03:37:48.858027 : Epoch  3, Batch   1907, Loss  0.896746, Average Loss  0.868779, Time  0.174963
2021-09-11 03:37:50.465862 : Epoch  3, Batch   1908, Loss  0.873336, Average Loss  0.868745, Time  0.170160
2021-09-11 03:37:51.304430 : Epoch  1, Batch   1476, Loss  0.870116, Average Loss  0.873671, Time  0.241143
2021-09-11 03:37:52.072805 : Epoch  3, Batch   1909, Loss  0.892157, Average Loss  0.868819, Time  0.170148
2021-09-11 03:37:53.031331 : Epoch  5, Batch    323, Loss  0.561877, Average Loss  0.562701, Time  0.252233
2021-09-11 03:37:53.686103 : Epoch  3, Batch   1910, Loss  0.880160, Average Loss  0.868882, Time  0.171018
2021-09-11 03:37:54.031582 : Epoch  1, Batch   1477, Loss  0.879301, Average Loss  0.873712, Time  0.290745
2021-09-11 03:37:54.692855 : Epoch  5, Batch    324, Loss  0.582344, Average Loss  0.562733, Time  0.251312
2021-09-11 03:37:55.311058 : Epoch  3, Batch   1911, Loss  0.859512, Average Loss  0.868865, Time  0.171768
2021-09-11 03:37:56.356303 : Epoch  5, Batch    325, Loss  0.551230, Average Loss  0.562653, Time  0.251334
2021-09-11 03:37:56.674013 : Epoch  1, Batch   1478, Loss  0.884627, Average Loss  0.873727, Time  0.260134
2021-09-11 03:37:56.963034 : Epoch  3, Batch   1912, Loss  0.868682, Average Loss  0.868709, Time  0.183613
2021-09-11 03:37:57.884890 : Epoch  5, Batch    326, Loss  0.558156, Average Loss  0.562550, Time  0.236623
2021-09-11 03:37:58.595781 : Epoch  3, Batch   1913, Loss  0.880258, Average Loss  0.868842, Time  0.178486
2021-09-11 03:37:59.628066 : Epoch  5, Batch    327, Loss  0.574605, Average Loss  0.562569, Time  0.434365
2021-09-11 03:37:59.668142 : Epoch  1, Batch   1479, Loss  0.876797, Average Loss  0.873717, Time  0.377230
2021-09-11 03:38:00.225741 : Epoch  3, Batch   1914, Loss  0.861454, Average Loss  0.868932, Time  0.171813
2021-09-11 03:38:01.141605 : Epoch  5, Batch    328, Loss  0.561660, Average Loss  0.562572, Time  0.232083
2021-09-11 03:38:01.861054 : Epoch  3, Batch   1915, Loss  0.872279, Average Loss  0.868915, Time  0.174155
2021-09-11 03:38:02.277147 : Epoch  1, Batch   1480, Loss  0.867373, Average Loss  0.873606, Time  0.243212
2021-09-11 03:38:02.677138 : Epoch  5, Batch    329, Loss  0.564171, Average Loss  0.562559, Time  0.232423
2021-09-11 03:38:03.450014 : Epoch  3, Batch   1916, Loss  0.870113, Average Loss  0.868895, Time  0.174723
2021-09-11 03:38:04.201031 : Epoch  5, Batch    330, Loss  0.565082, Average Loss  0.562575, Time  0.233326
2021-09-11 03:38:04.940396 : Epoch  1, Batch   1481, Loss  0.872313, Average Loss  0.873670, Time  0.243616
2021-09-11 03:38:05.060945 : Epoch  3, Batch   1917, Loss  0.861838, Average Loss  0.868946, Time  0.170404
2021-09-11 03:38:05.730937 : Epoch  5, Batch    331, Loss  0.551483, Average Loss  0.562520, Time  0.232656
2021-09-11 03:38:06.679778 : Epoch  3, Batch   1918, Loss  0.871264, Average Loss  0.868857, Time  0.176816
2021-09-11 03:38:07.251988 : Epoch  5, Batch    332, Loss  0.564416, Average Loss  0.562498, Time  0.232558
2021-09-11 03:38:07.561468 : Epoch  1, Batch   1482, Loss  0.861985, Average Loss  0.873618, Time  0.242818
2021-09-11 03:38:08.294037 : Epoch  3, Batch   1919, Loss  0.871883, Average Loss  0.868988, Time  0.172646
2021-09-11 03:38:08.756820 : Epoch  5, Batch    333, Loss  0.564389, Average Loss  0.562451, Time  0.234024
2021-09-11 03:38:09.916030 : Epoch  3, Batch   1920, Loss  0.886453, Average Loss  0.869217, Time  0.172269
2021-09-11 03:38:10.403490 : Epoch  1, Batch   1483, Loss  0.888766, Average Loss  0.873690, Time  0.437231
2021-09-11 03:38:10.468475 : Epoch  5, Batch    334, Loss  0.566001, Average Loss  0.562449, Time  0.358263
2021-09-11 03:38:11.540771 : Epoch  3, Batch   1921, Loss  0.873608, Average Loss  0.869198, Time  0.173032
2021-09-11 03:38:11.977031 : Epoch  5, Batch    335, Loss  0.556373, Average Loss  0.562471, Time  0.232095
2021-09-11 03:38:13.029214 : Epoch  1, Batch   1484, Loss  0.876184, Average Loss  0.873721, Time  0.244119
2021-09-11 03:38:13.155022 : Epoch  3, Batch   1922, Loss  0.865016, Average Loss  0.869355, Time  0.173121
2021-09-11 03:38:13.494354 : Epoch  5, Batch    336, Loss  0.551706, Average Loss  0.562424, Time  0.232727
2021-09-11 03:38:14.802033 : Epoch  3, Batch   1923, Loss  0.860773, Average Loss  0.869393, Time  0.170108
2021-09-11 03:38:15.048878 : Epoch  5, Batch    337, Loss  0.561323, Average Loss  0.562374, Time  0.234100
2021-09-11 03:38:15.656942 : Epoch  1, Batch   1485, Loss  0.874645, Average Loss  0.873837, Time  0.252985
2021-09-11 03:38:16.432017 : Epoch  3, Batch   1924, Loss  0.866229, Average Loss  0.869287, Time  0.171246
2021-09-11 03:38:16.561117 : Epoch  5, Batch    338, Loss  0.570237, Average Loss  0.562461, Time  0.232060
2021-09-11 03:38:18.047023 : Epoch  3, Batch   1925, Loss  0.899036, Average Loss  0.869363, Time  0.173877
2021-09-11 03:38:18.081823 : Epoch  5, Batch    339, Loss  0.566136, Average Loss  0.562496, Time  0.233090
2021-09-11 03:38:18.292229 : Epoch  1, Batch   1486, Loss  0.889713, Average Loss  0.873881, Time  0.249707
2021-09-11 03:38:19.607800 : Epoch  5, Batch    340, Loss  0.556277, Average Loss  0.562418, Time  0.233582
2021-09-11 03:38:19.674761 : Epoch  3, Batch   1926, Loss  0.869103, Average Loss  0.869391, Time  0.184032
2021-09-11 03:38:20.922289 : Epoch  1, Batch   1487, Loss  0.885115, Average Loss  0.874078, Time  0.260885
2021-09-11 03:38:21.159127 : Epoch  5, Batch    341, Loss  0.568141, Average Loss  0.562456, Time  0.234815
2021-09-11 03:38:21.288956 : Epoch  3, Batch   1927, Loss  0.873185, Average Loss  0.869526, Time  0.173713
2021-09-11 03:38:22.764144 : Epoch  5, Batch    342, Loss  0.562052, Average Loss  0.562487, Time  0.271946
2021-09-11 03:38:22.900729 : Epoch  3, Batch   1928, Loss  0.852411, Average Loss  0.869423, Time  0.169986
2021-09-11 03:38:23.747406 : Epoch  1, Batch   1488, Loss  0.873796, Average Loss  0.874014, Time  0.254621
2021-09-11 03:38:24.301217 : Epoch  5, Batch    343, Loss  0.559148, Average Loss  0.562480, Time  0.232029
2021-09-11 03:38:24.507746 : Epoch  3, Batch   1929, Loss  0.898948, Average Loss  0.869556, Time  0.170123
2021-09-11 03:38:25.878871 : Epoch  5, Batch    344, Loss  0.543675, Average Loss  0.562449, Time  0.234813
2021-09-11 03:38:26.131043 : Epoch  3, Batch   1930, Loss  0.865468, Average Loss  0.869457, Time  0.173315
2021-09-11 03:38:26.413474 : Epoch  1, Batch   1489, Loss  0.893003, Average Loss  0.874018, Time  0.245249
2021-09-11 03:38:27.421310 : Epoch  5, Batch    345, Loss  0.565507, Average Loss  0.562448, Time  0.232774
2021-09-11 03:38:27.766030 : Epoch  3, Batch   1931, Loss  0.864372, Average Loss  0.869522, Time  0.173678
2021-09-11 03:38:29.179151 : Epoch  5, Batch    346, Loss  0.555949, Average Loss  0.562355, Time  0.435236
2021-09-11 03:38:29.228454 : Epoch  1, Batch   1490, Loss  0.893562, Average Loss  0.874203, Time  0.391167
2021-09-11 03:38:29.387018 : Epoch  3, Batch   1932, Loss  0.869603, Average Loss  0.869675, Time  0.174473
2021-09-11 03:38:30.700231 : Epoch  5, Batch    347, Loss  0.552804, Average Loss  0.562293, Time  0.232392
2021-09-11 03:38:30.990020 : Epoch  3, Batch   1933, Loss  0.909502, Average Loss  0.870046, Time  0.185355
2021-09-11 03:38:31.872830 : Epoch  1, Batch   1491, Loss  0.857899, Average Loss  0.874217, Time  0.241674
2021-09-11 03:38:32.256119 : Epoch  5, Batch    348, Loss  0.553185, Average Loss  0.562262, Time  0.241471
2021-09-11 03:38:32.621860 : Epoch  3, Batch   1934, Loss  0.862692, Average Loss  0.870042, Time  0.170347
2021-09-11 03:38:33.782065 : Epoch  5, Batch    349, Loss  0.576016, Average Loss  0.562385, Time  0.234491
2021-09-11 03:38:34.218028 : Epoch  3, Batch   1935, Loss  0.851755, Average Loss  0.869911, Time  0.171962
2021-09-11 03:38:34.508286 : Epoch  1, Batch   1492, Loss  0.879991, Average Loss  0.874287, Time  0.240706
2021-09-11 03:38:35.449066 : Epoch  5, Batch    350, Loss  0.553716, Average Loss  0.562407, Time  0.251265
2021-09-11 03:38:35.907747 : Epoch  3, Batch   1936, Loss  0.867259, Average Loss  0.870016, Time  0.172469
2021-09-11 03:38:37.256854 : Epoch  5, Batch    351, Loss  0.567914, Average Loss  0.562457, Time  0.450158
2021-09-11 03:38:37.308581 : Epoch  1, Batch   1493, Loss  0.878132, Average Loss  0.874360, Time  0.371725
2021-09-11 03:38:37.537797 : Epoch  3, Batch   1937, Loss  0.887293, Average Loss  0.870233, Time  0.184256
2021-09-11 03:38:38.932813 : Epoch  5, Batch    352, Loss  0.549710, Average Loss  0.562368, Time  0.252409
2021-09-11 03:38:39.168771 : Epoch  3, Batch   1938, Loss  0.876769, Average Loss  0.870300, Time  0.174996
2021-09-11 03:38:39.925568 : Epoch  1, Batch   1494, Loss  0.880347, Average Loss  0.874400, Time  0.247676
2021-09-11 03:38:40.793857 : Epoch  3, Batch   1939, Loss  0.890221, Average Loss  0.870362, Time  0.175011
2021-09-11 03:38:42.419958 : Epoch  3, Batch   1940, Loss  0.902035, Average Loss  0.870447, Time  0.173311
2021-09-11 03:38:42.544938 : Epoch  1, Batch   1495, Loss  0.877987, Average Loss  0.874438, Time  0.242487
2021-09-11 03:38:44.040031 : Epoch  3, Batch   1941, Loss  0.892616, Average Loss  0.870614, Time  0.178987
2021-09-11 03:38:45.173408 : Epoch  1, Batch   1496, Loss  0.871995, Average Loss  0.874448, Time  0.243585
2021-09-11 03:38:45.675740 : Epoch  3, Batch   1942, Loss  0.833813, Average Loss  0.870438, Time  0.172081
2021-09-11 03:38:47.311868 : Epoch  3, Batch   1943, Loss  0.869058, Average Loss  0.870374, Time  0.178804
2021-09-11 03:38:47.831856 : Epoch  1, Batch   1497, Loss  0.876997, Average Loss  0.874464, Time  0.264060
2021-09-11 03:38:48.944030 : Epoch  3, Batch   1944, Loss  0.901766, Average Loss  0.870402, Time  0.178416
2021-09-11 03:38:50.454477 : Epoch  1, Batch   1498, Loss  0.868307, Average Loss  0.874449, Time  0.245490
2021-09-11 03:38:50.586824 : Epoch  3, Batch   1945, Loss  0.874945, Average Loss  0.870329, Time  0.192066
2021-09-11 03:38:52.217037 : Epoch  3, Batch   1946, Loss  0.898682, Average Loss  0.870472, Time  0.174123
2021-09-11 03:38:53.077993 : Epoch  1, Batch   1499, Loss  0.870679, Average Loss  0.874417, Time  0.247869
2021-09-11 03:38:53.842034 : Epoch  3, Batch   1947, Loss  0.890569, Average Loss  0.870564, Time  0.172091
2021-09-11 03:38:55.483028 : Epoch  3, Batch   1948, Loss  0.874112, Average Loss  0.870518, Time  0.169914
2021-09-11 03:38:55.691432 : Epoch  1, Batch   1500, Loss  0.894367, Average Loss  0.874515, Time  0.240673
2021-09-11 03:38:57.026025 : Epoch  3, Batch   1949, Loss  0.887260, Average Loss  0.870512, Time  0.166697
2021-09-11 03:38:58.641220 : Epoch  3, Batch   1950, Loss  0.882799, Average Loss  0.870456, Time  0.177202
2021-09-11 03:39:00.235055 : Epoch  3, Batch   1951, Loss  0.908250, Average Loss  0.870612, Time  0.170181
2021-09-11 03:39:01.880060 : Epoch  3, Batch   1952, Loss  0.886617, Average Loss  0.870660, Time  0.172481
2021-09-11 03:39:03.483040 : Epoch  3, Batch   1953, Loss  0.881176, Average Loss  0.870672, Time  0.177898
2021-09-11 03:39:05.128760 : Epoch  3, Batch   1954, Loss  0.866555, Average Loss  0.870639, Time  0.170125
2021-09-11 03:39:06.739029 : Epoch  3, Batch   1955, Loss  0.863705, Average Loss  0.870434, Time  0.169982
2021-09-11 03:39:08.373754 : Epoch  3, Batch   1956, Loss  0.854849, Average Loss  0.870342, Time  0.185905
2021-09-11 03:39:10.012019 : Epoch  3, Batch   1957, Loss  0.877175, Average Loss  0.870397, Time  0.182801
2021-09-11 03:39:11.623821 : Epoch  3, Batch   1958, Loss  0.854150, Average Loss  0.870479, Time  0.175264
2021-09-11 03:39:13.233057 : Epoch  3, Batch   1959, Loss  0.873555, Average Loss  0.870532, Time  0.171542
2021-09-11 03:39:14.840848 : Epoch  3, Batch   1960, Loss  0.878689, Average Loss  0.870605, Time  0.170027
2021-09-11 03:39:16.446161 : Epoch  3, Batch   1961, Loss  0.919964, Average Loss  0.871103, Time  0.172681
2021-09-11 03:39:18.058046 : Epoch  3, Batch   1962, Loss  0.864195, Average Loss  0.871021, Time  0.171757
2021-09-11 03:39:19.668801 : Epoch  3, Batch   1963, Loss  0.867272, Average Loss  0.871050, Time  0.170249
2021-09-11 03:39:21.300023 : Epoch  3, Batch   1964, Loss  0.841181, Average Loss  0.870929, Time  0.173579
2021-09-11 03:39:22.929946 : Epoch  3, Batch   1965, Loss  0.863587, Average Loss  0.870904, Time  0.176235
2021-09-11 03:39:24.556851 : Epoch  3, Batch   1966, Loss  0.843151, Average Loss  0.870790, Time  0.175253
2021-09-11 03:39:26.168791 : Epoch  3, Batch   1967, Loss  0.904769, Average Loss  0.870969, Time  0.176071
2021-09-11 03:39:27.788033 : Epoch  3, Batch   1968, Loss  0.864448, Average Loss  0.870795, Time  0.178939
2021-09-11 03:39:29.431773 : Epoch  3, Batch   1969, Loss  0.856122, Average Loss  0.870736, Time  0.174616
2021-09-11 03:39:31.057072 : Epoch  3, Batch   1970, Loss  0.871584, Average Loss  0.870850, Time  0.173893
2021-09-11 03:39:32.683030 : Epoch  3, Batch   1971, Loss  0.867249, Average Loss  0.870858, Time  0.170187
2021-09-11 03:39:34.276923 : Epoch  3, Batch   1972, Loss  0.886004, Average Loss  0.870926, Time  0.171561
2021-09-11 03:39:35.880022 : Epoch  3, Batch   1973, Loss  0.865001, Average Loss  0.870824, Time  0.176241
2021-09-11 03:39:36.490020 : CheckPoint: Validation Loss  0.00024012, Best Loss  0.00022844
2021-09-11 03:39:37.470945 : Epoch  3, Batch   1974, Loss  0.850788, Average Loss  0.870692, Time  0.171366
2021-09-11 03:39:38.115448 : Epoch  5, Batch    353, Loss  0.561990, Average Loss  0.562313, Time  0.315621
2021-09-11 03:39:39.091030 : Epoch  3, Batch   1975, Loss  0.870780, Average Loss  0.870813, Time  0.177927
2021-09-11 03:39:39.642836 : Epoch  5, Batch    354, Loss  0.549141, Average Loss  0.562247, Time  0.232642
2021-09-11 03:39:40.716031 : Epoch  3, Batch   1976, Loss  0.898359, Average Loss  0.870827, Time  0.178944
2021-09-11 03:39:41.160799 : Epoch  5, Batch    355, Loss  0.562022, Average Loss  0.562259, Time  0.231660
2021-09-11 03:39:42.352847 : Epoch  3, Batch   1977, Loss  0.869229, Average Loss  0.870793, Time  0.186759
2021-09-11 03:39:42.680934 : Epoch  5, Batch    356, Loss  0.570485, Average Loss  0.562282, Time  0.232689
2021-09-11 03:39:43.963035 : Epoch  3, Batch   1978, Loss  0.876383, Average Loss  0.870723, Time  0.171012
2021-09-11 03:39:44.207122 : Epoch  5, Batch    357, Loss  0.579144, Average Loss  0.562285, Time  0.233133
2021-09-11 03:39:45.854044 : Epoch  5, Batch    358, Loss  0.564796, Average Loss  0.562295, Time  0.233576
2021-09-11 03:39:47.507251 : Epoch  5, Batch    359, Loss  0.563162, Average Loss  0.562277, Time  0.234807
2021-09-11 03:39:49.160352 : Epoch  5, Batch    360, Loss  0.563671, Average Loss  0.562285, Time  0.251659
2021-09-11 03:39:50.668213 : Epoch  5, Batch    361, Loss  0.563401, Average Loss  0.562294, Time  0.231741
2021-09-11 03:39:52.185743 : Epoch  5, Batch    362, Loss  0.560586, Average Loss  0.562257, Time  0.231941
2021-09-11 03:39:53.720261 : Epoch  5, Batch    363, Loss  0.549212, Average Loss  0.562177, Time  0.232810
2021-09-11 03:39:55.385062 : Epoch  5, Batch    364, Loss  0.558593, Average Loss  0.562071, Time  0.251269
2021-09-11 03:39:57.049497 : Epoch  5, Batch    365, Loss  0.562043, Average Loss  0.562062, Time  0.251813
2021-09-11 03:39:58.706885 : Epoch  5, Batch    366, Loss  0.573008, Average Loss  0.562114, Time  0.251794
2021-09-11 03:40:00.376181 : Epoch  5, Batch    367, Loss  0.553259, Average Loss  0.562036, Time  0.251540
2021-09-11 03:40:01.913277 : Epoch  5, Batch    368, Loss  0.552070, Average Loss  0.562094, Time  0.232258
2021-09-11 03:40:03.454302 : Epoch  5, Batch    369, Loss  0.563629, Average Loss  0.562058, Time  0.237311
2021-09-11 03:40:04.975882 : Epoch  5, Batch    370, Loss  0.560071, Average Loss  0.562046, Time  0.232377
2021-09-11 03:40:06.653945 : Epoch  5, Batch    371, Loss  0.545249, Average Loss  0.561951, Time  0.251356
2021-09-11 03:40:08.266856 : Epoch  5, Batch    372, Loss  0.572178, Average Loss  0.562015, Time  0.232671
2021-09-11 03:40:09.771376 : Epoch  5, Batch    373, Loss  0.563448, Average Loss  0.562009, Time  0.232067
2021-09-11 03:40:11.277826 : Epoch  5, Batch    374, Loss  0.568276, Average Loss  0.562009, Time  0.232007
2021-09-11 03:40:12.825422 : Epoch  5, Batch    375, Loss  0.550476, Average Loss  0.561996, Time  0.232999
2021-09-11 03:40:14.360111 : Epoch  5, Batch    376, Loss  0.558205, Average Loss  0.562052, Time  0.232883
2021-09-11 03:40:15.868106 : Epoch  5, Batch    377, Loss  0.555511, Average Loss  0.561950, Time  0.231738
2021-09-11 03:40:17.394142 : Epoch  5, Batch    378, Loss  0.570647, Average Loss  0.561990, Time  0.232510
2021-09-11 03:40:19.086214 : Epoch  5, Batch    379, Loss  0.561729, Average Loss  0.562003, Time  0.252680
2021-09-11 03:40:20.751162 : Epoch  5, Batch    380, Loss  0.559097, Average Loss  0.562009, Time  0.251309
2021-09-11 03:40:22.271048 : Epoch  5, Batch    381, Loss  0.559272, Average Loss  0.562029, Time  0.232008
2021-09-11 03:40:23.809241 : Epoch  5, Batch    382, Loss  0.561576, Average Loss  0.562010, Time  0.233019
2021-09-11 03:40:25.338407 : Epoch  5, Batch    383, Loss  0.573624, Average Loss  0.562022, Time  0.233258
2021-09-11 03:40:26.848251 : Epoch  5, Batch    384, Loss  0.565795, Average Loss  0.562046, Time  0.231847
2021-09-11 03:40:28.448153 : Epoch  5, Batch    385, Loss  0.559359, Average Loss  0.562032, Time  0.311774
2021-09-11 03:40:29.977304 : Epoch  5, Batch    386, Loss  0.552991, Average Loss  0.561974, Time  0.232743
2021-09-11 03:40:31.665980 : Epoch  5, Batch    387, Loss  0.554699, Average Loss  0.561909, Time  0.252423
2021-09-11 03:40:33.352266 : Epoch  5, Batch    388, Loss  0.567179, Average Loss  0.561936, Time  0.260331
2021-09-11 03:40:35.033952 : Epoch  5, Batch    389, Loss  0.553559, Average Loss  0.561847, Time  0.250864
2021-09-11 03:40:36.725397 : Epoch  5, Batch    390, Loss  0.559980, Average Loss  0.561831, Time  0.252463
2021-09-11 03:40:38.402121 : Epoch  5, Batch    391, Loss  0.565557, Average Loss  0.561883, Time  0.251335
2021-09-11 03:40:39.914383 : Epoch  5, Batch    392, Loss  0.572451, Average Loss  0.561990, Time  0.231965
2021-09-11 03:40:41.434962 : Epoch  5, Batch    393, Loss  0.566256, Average Loss  0.561949, Time  0.232256
2021-09-11 03:40:42.951216 : Epoch  5, Batch    394, Loss  0.553979, Average Loss  0.561990, Time  0.232417
2021-09-11 03:40:44.467876 : Epoch  5, Batch    395, Loss  0.568521, Average Loss  0.562004, Time  0.232031
2021-09-11 03:40:46.000156 : Epoch  5, Batch    396, Loss  0.554750, Average Loss  0.561956, Time  0.233284
2021-09-11 03:40:47.513204 : Epoch  5, Batch    397, Loss  0.570028, Average Loss  0.561984, Time  0.231593
2021-09-11 03:40:49.041031 : Epoch  5, Batch    398, Loss  0.567291, Average Loss  0.562066, Time  0.231859
2021-09-11 03:40:50.560773 : Epoch  5, Batch    399, Loss  0.579204, Average Loss  0.562130, Time  0.234367
2021-09-11 03:40:52.091270 : Epoch  5, Batch    400, Loss  0.552378, Average Loss  0.562083, Time  0.232031
2021-09-11 03:40:53.607225 : Epoch  5, Batch    401, Loss  0.548776, Average Loss  0.561968, Time  0.232252
2021-09-11 03:40:55.214850 : Epoch  5, Batch    402, Loss  0.550767, Average Loss  0.561884, Time  0.313624
2021-09-11 03:40:56.729877 : Epoch  5, Batch    403, Loss  0.558441, Average Loss  0.561878, Time  0.231555
2021-09-11 03:40:58.245242 : Epoch  5, Batch    404, Loss  0.556090, Average Loss  0.561807, Time  0.233193
2021-09-11 03:40:59.759087 : Epoch  5, Batch    405, Loss  0.566474, Average Loss  0.561902, Time  0.232152
2021-09-11 03:41:01.310806 : Epoch  5, Batch    406, Loss  0.561430, Average Loss  0.561928, Time  0.231854
2021-09-11 03:41:02.829817 : Epoch  5, Batch    407, Loss  0.561017, Average Loss  0.561906, Time  0.232104
2021-09-11 03:41:04.375926 : Epoch  5, Batch    408, Loss  0.550845, Average Loss  0.561852, Time  0.233006
2021-09-11 03:41:05.897317 : Epoch  5, Batch    409, Loss  0.559485, Average Loss  0.561885, Time  0.230972
2021-09-11 03:41:07.411373 : Epoch  5, Batch    410, Loss  0.551590, Average Loss  0.561865, Time  0.232173
2021-09-11 03:41:08.942533 : Epoch  5, Batch    411, Loss  0.564493, Average Loss  0.561857, Time  0.234792
2021-09-11 03:41:10.463908 : Epoch  5, Batch    412, Loss  0.559380, Average Loss  0.561774, Time  0.232677
2021-09-11 03:41:12.060296 : Epoch  5, Batch    413, Loss  0.567131, Average Loss  0.561826, Time  0.313376
2021-09-11 03:41:13.576774 : Epoch  5, Batch    414, Loss  0.574092, Average Loss  0.561814, Time  0.231781
2021-09-11 03:41:15.109775 : Epoch  5, Batch    415, Loss  0.567403, Average Loss  0.561793, Time  0.233753
2021-09-11 03:41:16.749352 : Epoch  5, Batch    416, Loss  0.557065, Average Loss  0.561742, Time  0.291536
2021-09-11 03:41:18.268292 : Epoch  5, Batch    417, Loss  0.562773, Average Loss  0.561781, Time  0.231930
2021-09-11 03:41:19.788755 : Epoch  5, Batch    418, Loss  0.553357, Average Loss  0.561676, Time  0.231917
2021-09-11 03:41:21.323845 : Epoch  5, Batch    419, Loss  0.547935, Average Loss  0.561565, Time  0.233039
2021-09-11 03:41:22.860048 : Epoch  5, Batch    420, Loss  0.563620, Average Loss  0.561550, Time  0.233655
2021-09-11 03:41:24.378800 : Epoch  5, Batch    421, Loss  0.559818, Average Loss  0.561543, Time  0.232277
2021-09-11 03:41:25.922274 : Epoch  5, Batch    422, Loss  0.557501, Average Loss  0.561550, Time  0.231935
2021-09-11 03:41:30.137306 : Epoch  5, Batch    423, Loss  0.559626, Average Loss  0.561525, Time  0.232937
2021-09-11 03:41:31.775761 : Epoch  5, Batch    424, Loss  0.567094, Average Loss  0.561564, Time  0.233300
2021-09-11 03:41:33.287311 : Epoch  5, Batch    425, Loss  0.551370, Average Loss  0.561496, Time  0.231937
2021-09-11 03:41:34.971038 : Epoch  5, Batch    426, Loss  0.563933, Average Loss  0.561581, Time  0.254667
2021-09-11 03:41:36.664649 : Epoch  5, Batch    427, Loss  0.547283, Average Loss  0.561452, Time  0.252002
2021-09-11 03:41:38.196826 : Epoch  5, Batch    428, Loss  0.564227, Average Loss  0.561512, Time  0.232322
2021-09-11 03:41:39.870774 : Epoch  5, Batch    429, Loss  0.569499, Average Loss  0.561501, Time  0.258495
2021-09-11 03:41:41.558565 : Epoch  5, Batch    430, Loss  0.550366, Average Loss  0.561481, Time  0.253162
2021-09-11 03:41:43.299397 : Epoch  5, Batch    431, Loss  0.568879, Average Loss  0.561513, Time  0.295795
2021-09-11 03:41:44.961052 : Epoch  5, Batch    432, Loss  0.543733, Average Loss  0.561376, Time  0.251066
2021-09-11 03:41:46.513002 : Epoch  5, Batch    433, Loss  0.567695, Average Loss  0.561340, Time  0.250975
2021-09-11 03:41:48.132812 : Epoch  5, Batch    434, Loss  0.554927, Average Loss  0.561346, Time  0.335838
2021-09-11 03:41:49.793386 : Epoch  5, Batch    435, Loss  0.558413, Average Loss  0.561329, Time  0.251324
2021-09-11 03:41:51.316255 : Epoch  5, Batch    436, Loss  0.555725, Average Loss  0.561262, Time  0.233032
2021-09-11 03:41:52.939991 : Epoch  5, Batch    437, Loss  0.553760, Average Loss  0.561204, Time  0.313972
2021-09-11 03:41:54.460844 : Epoch  5, Batch    438, Loss  0.553420, Average Loss  0.561061, Time  0.232033
2021-09-11 03:41:55.986840 : Epoch  5, Batch    439, Loss  0.562725, Average Loss  0.561005, Time  0.231867
2021-09-11 03:41:57.744181 : Epoch  5, Batch    440, Loss  0.555278, Average Loss  0.560984, Time  0.334384
2021-09-11 03:41:59.268877 : Epoch  5, Batch    441, Loss  0.559758, Average Loss  0.560972, Time  0.232399
2021-09-11 03:42:00.944040 : Epoch  5, Batch    442, Loss  0.569580, Average Loss  0.561055, Time  0.256499
2021-09-11 03:42:02.645861 : Epoch  5, Batch    443, Loss  0.556373, Average Loss  0.560995, Time  0.272528
2021-09-11 03:42:04.315385 : Epoch  5, Batch    444, Loss  0.558009, Average Loss  0.560879, Time  0.232108
2021-09-11 03:42:06.042300 : Epoch  5, Batch    445, Loss  0.557058, Average Loss  0.560922, Time  0.250331
2021-09-11 03:42:07.552934 : Epoch  5, Batch    446, Loss  0.559548, Average Loss  0.560926, Time  0.232839
2021-09-11 03:42:09.087252 : Epoch  5, Batch    447, Loss  0.568945, Average Loss  0.560959, Time  0.233050
2021-09-11 03:42:10.607607 : Epoch  5, Batch    448, Loss  0.557722, Average Loss  0.560836, Time  0.232212
2021-09-11 03:42:12.195303 : Epoch  5, Batch    449, Loss  0.571636, Average Loss  0.560929, Time  0.307087
2021-09-11 03:42:13.732360 : Epoch  5, Batch    450, Loss  0.558204, Average Loss  0.560966, Time  0.232631
2021-09-11 03:42:15.284410 : Epoch  5, Batch    451, Loss  0.565992, Average Loss  0.560958, Time  0.232707
2021-09-11 03:42:17.013915 : Epoch  5, Batch    452, Loss  0.554370, Average Loss  0.560944, Time  0.317672
2021-09-11 03:43:01.606823 : CheckPoint: Validation Loss  0.00030339, Best Loss  0.00029681
2021-09-11 03:43:04.240246 : Epoch  1, Batch   1501, Loss  0.856637, Average Loss  0.874319, Time  0.242060
2021-09-11 03:43:06.879876 : Epoch  1, Batch   1502, Loss  0.866590, Average Loss  0.874195, Time  0.248367
2021-09-11 03:43:09.496862 : Epoch  1, Batch   1503, Loss  0.886947, Average Loss  0.874266, Time  0.239590
2021-09-11 03:43:12.134468 : Epoch  1, Batch   1504, Loss  0.871648, Average Loss  0.874153, Time  0.244812
2021-09-11 03:43:14.760055 : Epoch  1, Batch   1505, Loss  0.874159, Average Loss  0.874122, Time  0.240645
2021-09-11 03:43:15.356918 : CheckPoint: Validation Loss  0.00023602, Best Loss  0.00022844
2021-09-11 03:43:16.874035 : Epoch  5, Batch    453, Loss  0.566713, Average Loss  0.560966, Time  0.232622
2021-09-11 03:43:17.416344 : Epoch  1, Batch   1506, Loss  0.871167, Average Loss  0.873892, Time  0.270612
2021-09-11 03:43:18.403729 : Epoch  5, Batch    454, Loss  0.561656, Average Loss  0.560936, Time  0.232368
2021-09-11 03:43:20.134014 : Epoch  5, Batch    455, Loss  0.554875, Average Loss  0.560919, Time  0.418406
2021-09-11 03:43:20.174868 : Epoch  1, Batch   1507, Loss  0.877302, Average Loss  0.873833, Time  0.364008
2021-09-11 03:43:21.646023 : Epoch  5, Batch    456, Loss  0.562150, Average Loss  0.560873, Time  0.233088
2021-09-11 03:43:22.815844 : Epoch  1, Batch   1508, Loss  0.873415, Average Loss  0.873805, Time  0.240153
2021-09-11 03:43:23.150133 : Epoch  5, Batch    457, Loss  0.563798, Average Loss  0.560840, Time  0.231882
2021-09-11 03:43:24.661775 : Epoch  5, Batch    458, Loss  0.557286, Average Loss  0.560808, Time  0.232579
2021-09-11 03:43:25.466495 : Epoch  1, Batch   1509, Loss  0.881922, Average Loss  0.873872, Time  0.265237
2021-09-11 03:43:26.163378 : Epoch  5, Batch    459, Loss  0.550218, Average Loss  0.560805, Time  0.232655
2021-09-11 03:43:27.693019 : Epoch  5, Batch    460, Loss  0.557424, Average Loss  0.560827, Time  0.232984
2021-09-11 03:43:28.103036 : Epoch  1, Batch   1510, Loss  0.878276, Average Loss  0.873925, Time  0.241120
2021-09-11 03:43:29.365994 : Epoch  5, Batch    461, Loss  0.557005, Average Loss  0.560845, Time  0.259361
2021-09-11 03:43:30.740484 : Epoch  1, Batch   1511, Loss  0.899060, Average Loss  0.874000, Time  0.246083
2021-09-11 03:43:31.015255 : Epoch  5, Batch    462, Loss  0.549368, Average Loss  0.560854, Time  0.234668
2021-09-11 03:43:32.539822 : Epoch  5, Batch    463, Loss  0.548030, Average Loss  0.560781, Time  0.232936
2021-09-11 03:43:33.374040 : Epoch  1, Batch   1512, Loss  0.874214, Average Loss  0.873966, Time  0.245768
2021-09-11 03:43:34.087881 : Epoch  5, Batch    464, Loss  0.562639, Average Loss  0.560745, Time  0.235164
2021-09-11 03:43:35.761820 : Epoch  5, Batch    465, Loss  0.559011, Average Loss  0.560729, Time  0.258064
2021-09-11 03:43:36.036886 : Epoch  1, Batch   1513, Loss  0.885458, Average Loss  0.874037, Time  0.243898
2021-09-11 03:43:37.293979 : Epoch  5, Batch    466, Loss  0.551557, Average Loss  0.560744, Time  0.237173
2021-09-11 03:43:38.781784 : Epoch  1, Batch   1514, Loss  0.880701, Average Loss  0.874080, Time  0.349060
2021-09-11 03:43:38.878967 : Epoch  5, Batch    467, Loss  0.564574, Average Loss  0.560721, Time  0.282983
2021-09-11 03:43:40.594924 : Epoch  5, Batch    468, Loss  0.567803, Average Loss  0.560736, Time  0.257403
2021-09-11 03:43:41.426061 : Epoch  1, Batch   1515, Loss  0.878169, Average Loss  0.874020, Time  0.247334
2021-09-11 03:43:42.270191 : Epoch  5, Batch    469, Loss  0.564867, Average Loss  0.560737, Time  0.251719
2021-09-11 03:43:44.201107 : Epoch  5, Batch    470, Loss  0.563686, Average Loss  0.560689, Time  0.437526
2021-09-11 03:43:44.246134 : Epoch  1, Batch   1516, Loss  0.882269, Average Loss  0.874131, Time  0.397333
2021-09-11 03:43:45.727941 : Epoch  5, Batch    471, Loss  0.560407, Average Loss  0.560681, Time  0.233444
2021-09-11 03:43:46.875015 : Epoch  1, Batch   1517, Loss  0.881309, Average Loss  0.874253, Time  0.259372
2021-09-11 03:43:47.254834 : Epoch  5, Batch    472, Loss  0.561747, Average Loss  0.560632, Time  0.232122
2021-09-11 03:43:48.853166 : Epoch  5, Batch    473, Loss  0.559333, Average Loss  0.560595, Time  0.232157
2021-09-11 03:43:49.628135 : Epoch  1, Batch   1518, Loss  0.865828, Average Loss  0.874185, Time  0.266856
2021-09-11 03:43:50.371179 : Epoch  5, Batch    474, Loss  0.576730, Average Loss  0.560647, Time  0.233302
2021-09-11 03:43:51.913655 : Epoch  5, Batch    475, Loss  0.558752, Average Loss  0.560632, Time  0.233628
2021-09-11 03:43:52.344983 : Epoch  1, Batch   1519, Loss  0.873952, Average Loss  0.874181, Time  0.263701
2021-09-11 03:43:53.440014 : Epoch  5, Batch    476, Loss  0.571907, Average Loss  0.560695, Time  0.231934
2021-09-11 03:43:55.056406 : Epoch  5, Batch    477, Loss  0.573116, Average Loss  0.560719, Time  0.319732
2021-09-11 03:43:55.197498 : Epoch  1, Batch   1520, Loss  0.874651, Average Loss  0.874194, Time  0.281071
2021-09-11 03:43:56.573855 : Epoch  5, Batch    478, Loss  0.559367, Average Loss  0.560723, Time  0.232900
2021-09-11 03:43:57.847778 : Epoch  1, Batch   1521, Loss  0.900838, Average Loss  0.874416, Time  0.240686
2021-09-11 03:43:58.258899 : Epoch  5, Batch    479, Loss  0.560914, Average Loss  0.560719, Time  0.252074
2021-09-11 03:43:59.966195 : Epoch  5, Batch    480, Loss  0.558170, Average Loss  0.560705, Time  0.252100
2021-09-11 03:44:00.482875 : Epoch  1, Batch   1522, Loss  0.877295, Average Loss  0.874447, Time  0.242137
2021-09-11 03:44:01.652008 : Epoch  5, Batch    481, Loss  0.571427, Average Loss  0.560772, Time  0.251305
2021-09-11 03:44:03.221446 : Epoch  1, Batch   1523, Loss  0.874560, Average Loss  0.874458, Time  0.341908
2021-09-11 03:44:03.347801 : Epoch  5, Batch    482, Loss  0.559790, Average Loss  0.560747, Time  0.277465
2021-09-11 03:44:05.020393 : Epoch  5, Batch    483, Loss  0.551392, Average Loss  0.560686, Time  0.251527
2021-09-11 03:44:05.852415 : Epoch  1, Batch   1524, Loss  0.877184, Average Loss  0.874566, Time  0.242135
2021-09-11 03:44:06.565460 : Epoch  5, Batch    484, Loss  0.556276, Average Loss  0.560682, Time  0.248652
2021-09-11 03:44:08.116492 : Epoch  5, Batch    485, Loss  0.558646, Average Loss  0.560722, Time  0.233296
2021-09-11 03:44:08.504583 : Epoch  1, Batch   1525, Loss  0.888466, Average Loss  0.874576, Time  0.244822
2021-09-11 03:44:09.656309 : Epoch  5, Batch    486, Loss  0.550308, Average Loss  0.560773, Time  0.233581
2021-09-11 03:44:11.377421 : Epoch  1, Batch   1526, Loss  0.837714, Average Loss  0.874344, Time  0.454429
2021-09-11 03:44:11.431896 : Epoch  5, Batch    487, Loss  0.549731, Average Loss  0.560625, Time  0.421723
2021-09-11 03:44:13.205358 : Epoch  5, Batch    488, Loss  0.562347, Average Loss  0.560563, Time  0.233789
2021-09-11 03:44:14.403028 : Epoch  1, Batch   1527, Loss  0.907145, Average Loss  0.874490, Time  0.317769
2021-09-11 03:44:14.737064 : Epoch  5, Batch    489, Loss  0.567618, Average Loss  0.560611, Time  0.250826
2021-09-11 03:44:16.250814 : Epoch  5, Batch    490, Loss  0.567479, Average Loss  0.560651, Time  0.231991
2021-09-11 03:44:17.121893 : Epoch  1, Batch   1528, Loss  0.865894, Average Loss  0.874455, Time  0.265640
2021-09-11 03:44:17.779809 : Epoch  5, Batch    491, Loss  0.566249, Average Loss  0.560641, Time  0.231953
2021-09-11 03:44:19.297852 : Epoch  5, Batch    492, Loss  0.564645, Average Loss  0.560563, Time  0.231847
2021-09-11 03:44:19.858229 : Epoch  1, Batch   1529, Loss  0.872058, Average Loss  0.874385, Time  0.262068
2021-09-11 03:44:20.808808 : Epoch  5, Batch    493, Loss  0.543949, Average Loss  0.560571, Time  0.232153
2021-09-11 03:44:22.343334 : Epoch  5, Batch    494, Loss  0.548533, Average Loss  0.560540, Time  0.233637
2021-09-11 03:44:22.600486 : Epoch  1, Batch   1530, Loss  0.875759, Average Loss  0.874527, Time  0.270435
2021-09-11 03:44:23.257054 : CheckPoint: Validation Loss  0.00058948, Best Loss  0.00057296
2021-09-11 03:44:23.876911 : Epoch  5, Batch    495, Loss  0.569869, Average Loss  0.560615, Time  0.233140
2021-09-11 03:44:24.910913 : Epoch  3, Batch   1979, Loss  0.851904, Average Loss  0.870636, Time  0.188596
2021-09-11 03:44:25.527829 : Epoch  1, Batch   1531, Loss  0.860510, Average Loss  0.874565, Time  0.441462
2021-09-11 03:44:25.580864 : Epoch  5, Batch    496, Loss  0.569952, Average Loss  0.560651, Time  0.373537
2021-09-11 03:44:26.540006 : Epoch  3, Batch   1980, Loss  0.878437, Average Loss  0.870643, Time  0.170452
2021-09-11 03:44:27.125861 : Epoch  5, Batch    497, Loss  0.565977, Average Loss  0.560660, Time  0.274799
2021-09-11 03:44:28.167999 : Epoch  3, Batch   1981, Loss  0.830662, Average Loss  0.870336, Time  0.176696
2021-09-11 03:44:28.174071 : Epoch  1, Batch   1532, Loss  0.873373, Average Loss  0.874575, Time  0.245955
2021-09-11 03:44:28.635309 : Epoch  5, Batch    498, Loss  0.557659, Average Loss  0.560636, Time  0.232628
2021-09-11 03:44:29.831023 : Epoch  3, Batch   1982, Loss  0.863961, Average Loss  0.870310, Time  0.175980
2021-09-11 03:44:30.152976 : Epoch  5, Batch    499, Loss  0.550641, Average Loss  0.560607, Time  0.231887
2021-09-11 03:44:30.844474 : Epoch  1, Batch   1533, Loss  0.872647, Average Loss  0.874582, Time  0.244429
2021-09-11 03:44:31.456024 : Epoch  3, Batch   1983, Loss  0.852934, Average Loss  0.870298, Time  0.175959
2021-09-11 03:44:31.671076 : Epoch  5, Batch    500, Loss  0.558190, Average Loss  0.560580, Time  0.232229
2021-09-11 03:44:33.082018 : Epoch  3, Batch   1984, Loss  0.865780, Average Loss  0.870250, Time  0.177528
2021-09-11 03:44:33.200851 : Epoch  5, Batch    501, Loss  0.563780, Average Loss  0.560545, Time  0.233535
2021-09-11 03:44:33.479927 : Epoch  1, Batch   1534, Loss  0.868959, Average Loss  0.874587, Time  0.242536
2021-09-11 03:44:34.711064 : Epoch  3, Batch   1985, Loss  0.869513, Average Loss  0.870157, Time  0.181682
2021-09-11 03:44:34.767804 : Epoch  5, Batch    502, Loss  0.563270, Average Loss  0.560627, Time  0.231939
2021-09-11 03:44:36.351034 : Epoch  3, Batch   1986, Loss  0.874533, Average Loss  0.870202, Time  0.188347
2021-09-11 03:44:36.397323 : Epoch  1, Batch   1535, Loss  0.870136, Average Loss  0.874558, Time  0.445015
2021-09-11 03:44:36.428457 : Epoch  5, Batch    503, Loss  0.567169, Average Loss  0.560664, Time  0.360993
2021-09-11 03:44:37.968033 : Epoch  3, Batch   1987, Loss  0.856873, Average Loss  0.870353, Time  0.173203
2021-09-11 03:44:38.121458 : Epoch  5, Batch    504, Loss  0.551941, Average Loss  0.560530, Time  0.259055
2021-09-11 03:44:39.089221 : Epoch  1, Batch   1536, Loss  0.867075, Average Loss  0.874479, Time  0.310709
2021-09-11 03:44:39.589950 : Epoch  3, Batch   1988, Loss  0.863593, Average Loss  0.870418, Time  0.174512
2021-09-11 03:44:39.734505 : Epoch  5, Batch    505, Loss  0.569414, Average Loss  0.560597, Time  0.235420
2021-09-11 03:44:41.224024 : Epoch  3, Batch   1989, Loss  0.888517, Average Loss  0.870552, Time  0.175890
2021-09-11 03:44:41.411365 : Epoch  5, Batch    506, Loss  0.567017, Average Loss  0.560620, Time  0.251792
2021-09-11 03:44:41.776512 : Epoch  1, Batch   1537, Loss  0.900850, Average Loss  0.874592, Time  0.240819
2021-09-11 03:44:42.860064 : Epoch  3, Batch   1990, Loss  0.861151, Average Loss  0.870495, Time  0.172369
2021-09-11 03:44:43.081897 : Epoch  5, Batch    507, Loss  0.571148, Average Loss  0.560707, Time  0.232332
2021-09-11 03:44:44.422960 : Epoch  1, Batch   1538, Loss  0.891387, Average Loss  0.874630, Time  0.245775
2021-09-11 03:44:44.477036 : Epoch  3, Batch   1991, Loss  0.875638, Average Loss  0.870673, Time  0.169619
2021-09-11 03:44:44.633082 : Epoch  5, Batch    508, Loss  0.555725, Average Loss  0.560728, Time  0.240490
2021-09-11 03:44:46.063035 : Epoch  3, Batch   1992, Loss  0.867673, Average Loss  0.870579, Time  0.169947
2021-09-11 03:44:46.151243 : Epoch  5, Batch    509, Loss  0.564827, Average Loss  0.560744, Time  0.232749
2021-09-11 03:44:47.062818 : Epoch  1, Batch   1539, Loss  0.852721, Average Loss  0.874569, Time  0.245751
2021-09-11 03:44:47.676023 : Epoch  3, Batch   1993, Loss  0.869947, Average Loss  0.870456, Time  0.179825
2021-09-11 03:44:49.174016 : Epoch  5, Batch    511, Loss  0.561744, Average Loss  0.560659, Time  0.232532
2021-09-11 03:44:49.278034 : Epoch  3, Batch   1994, Loss  0.870922, Average Loss  0.870541, Time  0.173072
2021-09-11 03:44:49.759919 : Epoch  1, Batch   1540, Loss  0.865014, Average Loss  0.874436, Time  0.240835
2021-09-11 03:44:50.691286 : Epoch  5, Batch    512, Loss  0.564067, Average Loss  0.560705, Time  0.233075
2021-09-11 03:44:50.867031 : Epoch  3, Batch   1995, Loss  0.913487, Average Loss  0.870638, Time  0.170855
2021-09-11 03:44:52.303444 : Epoch  5, Batch    513, Loss  0.560166, Average Loss  0.560789, Time  0.320140
2021-09-11 03:44:52.441632 : Epoch  1, Batch   1541, Loss  0.861626, Average Loss  0.874297, Time  0.275762
2021-09-11 03:44:52.493034 : Epoch  3, Batch   1996, Loss  0.878730, Average Loss  0.870820, Time  0.173230
2021-09-11 03:44:53.948507 : Epoch  5, Batch    514, Loss  0.569804, Average Loss  0.560831, Time  0.233719
2021-09-11 03:44:54.106030 : Epoch  3, Batch   1997, Loss  0.869374, Average Loss  0.870818, Time  0.188816
2021-09-11 03:44:55.073393 : Epoch  1, Batch   1542, Loss  0.862299, Average Loss  0.874267, Time  0.241696
2021-09-11 03:44:55.457775 : Epoch  5, Batch    515, Loss  0.546061, Average Loss  0.560776, Time  0.231139
2021-09-11 03:44:55.737039 : Epoch  3, Batch   1998, Loss  0.866295, Average Loss  0.870756, Time  0.172802
2021-09-11 03:44:56.983895 : Epoch  5, Batch    516, Loss  0.557761, Average Loss  0.560753, Time  0.234618
2021-09-11 03:44:57.353027 : Epoch  3, Batch   1999, Loss  0.861767, Average Loss  0.870755, Time  0.174033
2021-09-11 03:44:57.733028 : Epoch  1, Batch   1543, Loss  0.864937, Average Loss  0.874216, Time  0.253953
2021-09-11 03:44:58.522264 : Epoch  5, Batch    517, Loss  0.538721, Average Loss  0.560624, Time  0.235875
2021-09-11 03:44:58.999032 : Epoch  3, Batch   2000, Loss  0.870258, Average Loss  0.870895, Time  0.180661
2021-09-11 03:45:00.215391 : Epoch  5, Batch    518, Loss  0.564525, Average Loss  0.560638, Time  0.251907
2021-09-11 03:45:00.486087 : Epoch  1, Batch   1544, Loss  0.855817, Average Loss  0.874118, Time  0.246087
2021-09-11 03:45:00.602028 : Epoch  3, Batch   2001, Loss  0.863079, Average Loss  0.870829, Time  0.175083
2021-09-11 03:45:01.839224 : Epoch  5, Batch    519, Loss  0.553750, Average Loss  0.560653, Time  0.236433
2021-09-11 03:45:02.220854 : Epoch  3, Batch   2002, Loss  0.874617, Average Loss  0.870848, Time  0.175078
2021-09-11 03:45:03.121841 : Epoch  1, Batch   1545, Loss  0.864296, Average Loss  0.874137, Time  0.243194
2021-09-11 03:45:03.358345 : Epoch  5, Batch    520, Loss  0.559836, Average Loss  0.560605, Time  0.233134
2021-09-11 03:45:03.850026 : Epoch  3, Batch   2003, Loss  0.885434, Average Loss  0.870743, Time  0.180333
2021-09-11 03:45:04.873246 : Epoch  5, Batch    521, Loss  0.568271, Average Loss  0.560603, Time  0.232602
2021-09-11 03:45:05.509047 : Epoch  3, Batch   2004, Loss  0.861852, Average Loss  0.870606, Time  0.170236
2021-09-11 03:45:05.805531 : Epoch  1, Batch   1546, Loss  0.873816, Average Loss  0.874186, Time  0.241441
2021-09-11 03:45:06.419027 : Epoch  5, Batch    522, Loss  0.546194, Average Loss  0.560522, Time  0.232528
2021-09-11 03:45:07.129035 : Epoch  3, Batch   2005, Loss  0.889189, Average Loss  0.870650, Time  0.169789
2021-09-11 03:45:08.439484 : Epoch  1, Batch   1547, Loss  0.882369, Average Loss  0.874224, Time  0.249829
2021-09-11 03:45:08.758032 : Epoch  3, Batch   2006, Loss  0.876387, Average Loss  0.870524, Time  0.169853
2021-09-11 03:45:10.258952 : Epoch  5, Batch    523, Loss  0.562529, Average Loss  0.560525, Time  0.232537
2021-09-11 03:45:10.379808 : Epoch  3, Batch   2007, Loss  0.849431, Average Loss  0.870468, Time  0.169926
2021-09-11 03:45:11.100795 : Epoch  1, Batch   1548, Loss  0.877870, Average Loss  0.874332, Time  0.260934
2021-09-11 03:45:11.763038 : Epoch  5, Batch    524, Loss  0.580107, Average Loss  0.560514, Time  0.231950
2021-09-11 03:45:11.998029 : Epoch  3, Batch   2008, Loss  0.872278, Average Loss  0.870419, Time  0.170127
2021-09-11 03:45:13.289909 : Epoch  5, Batch    525, Loss  0.558566, Average Loss  0.560551, Time  0.232527
2021-09-11 03:45:13.620032 : Epoch  3, Batch   2009, Loss  0.893472, Average Loss  0.870514, Time  0.174725
2021-09-11 03:45:13.749114 : Epoch  1, Batch   1549, Loss  0.867033, Average Loss  0.874159, Time  0.247665
2021-09-11 03:45:14.959137 : Epoch  5, Batch    526, Loss  0.551157, Average Loss  0.560516, Time  0.233636
2021-09-11 03:45:15.232040 : Epoch  3, Batch   2010, Loss  0.856295, Average Loss  0.870515, Time  0.169897
2021-09-11 03:45:16.599396 : Epoch  1, Batch   1550, Loss  0.882484, Average Loss  0.874278, Time  0.433555
2021-09-11 03:45:16.639319 : Epoch  5, Batch    527, Loss  0.573801, Average Loss  0.560512, Time  0.362685
2021-09-11 03:45:16.833746 : Epoch  3, Batch   2011, Loss  0.887854, Average Loss  0.870592, Time  0.170026
2021-09-11 03:45:18.299041 : Epoch  5, Batch    528, Loss  0.549243, Average Loss  0.560450, Time  0.232978
2021-09-11 03:45:18.452855 : Epoch  3, Batch   2012, Loss  0.852023, Average Loss  0.870585, Time  0.187154
2021-09-11 03:45:19.310485 : Epoch  1, Batch   1551, Loss  0.843035, Average Loss  0.874123, Time  0.243229
2021-09-11 03:45:19.816130 : Epoch  5, Batch    529, Loss  0.555923, Average Loss  0.560409, Time  0.232844
2021-09-11 03:45:20.075031 : Epoch  3, Batch   2013, Loss  0.868245, Average Loss  0.870619, Time  0.172183
2021-09-11 03:45:21.335105 : Epoch  5, Batch    530, Loss  0.559444, Average Loss  0.560380, Time  0.232261
2021-09-11 03:45:21.691038 : Epoch  3, Batch   2014, Loss  0.869284, Average Loss  0.870591, Time  0.172128
2021-09-11 03:45:21.952919 : Epoch  1, Batch   1552, Loss  0.876522, Average Loss  0.874060, Time  0.242436
2021-09-11 03:45:23.012228 : Epoch  5, Batch    531, Loss  0.549485, Average Loss  0.560370, Time  0.252679
2021-09-11 03:45:23.340278 : Epoch  3, Batch   2015, Loss  0.855651, Average Loss  0.870646, Time  0.181080
2021-09-11 03:45:24.774831 : Epoch  1, Batch   1553, Loss  0.858823, Average Loss  0.873987, Time  0.439118
2021-09-11 03:45:24.812608 : Epoch  5, Batch    532, Loss  0.548747, Average Loss  0.560292, Time  0.470697
2021-09-11 03:45:24.964777 : Epoch  3, Batch   2016, Loss  0.859248, Average Loss  0.870486, Time  0.170261
2021-09-11 03:45:26.326199 : Epoch  5, Batch    533, Loss  0.549988, Average Loss  0.560220, Time  0.251297
2021-09-11 03:45:26.600029 : Epoch  3, Batch   2017, Loss  0.877629, Average Loss  0.870603, Time  0.169983
2021-09-11 03:45:27.475979 : Epoch  1, Batch   1554, Loss  0.855427, Average Loss  0.873856, Time  0.245579
2021-09-11 03:45:28.003255 : Epoch  5, Batch    534, Loss  0.564896, Average Loss  0.560214, Time  0.251727
2021-09-11 03:45:28.251037 : Epoch  3, Batch   2018, Loss  0.876791, Average Loss  0.870647, Time  0.170146
2021-09-11 03:45:29.708134 : Epoch  5, Batch    535, Loss  0.561893, Average Loss  0.560242, Time  0.253370
2021-09-11 03:45:29.873747 : Epoch  3, Batch   2019, Loss  0.849535, Average Loss  0.870449, Time  0.171152
2021-09-11 03:45:30.112220 : Epoch  1, Batch   1555, Loss  0.868133, Average Loss  0.873875, Time  0.242751
2021-09-11 03:45:31.398854 : Epoch  5, Batch    536, Loss  0.546653, Average Loss  0.560217, Time  0.251386
2021-09-11 03:45:31.492060 : Epoch  3, Batch   2020, Loss  0.863796, Average Loss  0.870305, Time  0.173805
2021-09-11 03:45:32.830566 : Epoch  1, Batch   1556, Loss  0.886217, Average Loss  0.873942, Time  0.330892
2021-09-11 03:45:32.951063 : Epoch  5, Batch    537, Loss  0.546411, Average Loss  0.560142, Time  0.269533
2021-09-11 03:45:33.128025 : Epoch  3, Batch   2021, Loss  0.860387, Average Loss  0.870369, Time  0.171936
2021-09-11 03:45:34.461847 : Epoch  5, Batch    538, Loss  0.562672, Average Loss  0.560104, Time  0.232391
2021-09-11 03:45:34.754030 : Epoch  3, Batch   2022, Loss  0.877862, Average Loss  0.870460, Time  0.170358
2021-09-11 03:45:35.472061 : Epoch  1, Batch   1557, Loss  0.887376, Average Loss  0.874080, Time  0.241328
2021-09-11 03:45:35.981413 : Epoch  5, Batch    539, Loss  0.536920, Average Loss  0.559958, Time  0.232093
2021-09-11 03:45:36.380753 : Epoch  3, Batch   2023, Loss  0.907817, Average Loss  0.870540, Time  0.170174
2021-09-11 03:45:37.486838 : Epoch  5, Batch    540, Loss  0.560015, Average Loss  0.559977, Time  0.232478
2021-09-11 03:45:38.014828 : Epoch  3, Batch   2024, Loss  0.866623, Average Loss  0.870611, Time  0.183030
2021-09-11 03:45:38.120548 : Epoch  1, Batch   1558, Loss  0.891856, Average Loss  0.874117, Time  0.244560
2021-09-11 03:45:39.027403 : Epoch  5, Batch    541, Loss  0.558967, Average Loss  0.559931, Time  0.233667
2021-09-11 03:45:39.649880 : Epoch  3, Batch   2025, Loss  0.890846, Average Loss  0.870554, Time  0.179680
2021-09-11 03:45:40.611912 : Epoch  5, Batch    542, Loss  0.566485, Average Loss  0.559953, Time  0.301862
2021-09-11 03:45:40.759804 : Epoch  1, Batch   1559, Loss  0.870212, Average Loss  0.874166, Time  0.261049
2021-09-11 03:45:41.273869 : Epoch  3, Batch   2026, Loss  0.834640, Average Loss  0.870367, Time  0.175166
2021-09-11 03:45:42.116811 : Epoch  5, Batch    543, Loss  0.573546, Average Loss  0.560025, Time  0.232058
2021-09-11 03:45:42.890841 : Epoch  3, Batch   2027, Loss  0.877952, Average Loss  0.870485, Time  0.172062
2021-09-11 03:45:43.391173 : Epoch  1, Batch   1560, Loss  0.870373, Average Loss  0.874198, Time  0.239108
2021-09-11 03:45:43.655781 : Epoch  5, Batch    544, Loss  0.549409, Average Loss  0.560054, Time  0.239193
2021-09-11 03:45:44.537841 : Epoch  3, Batch   2028, Loss  0.868933, Average Loss  0.870481, Time  0.180451
2021-09-11 03:45:45.174291 : Epoch  5, Batch    545, Loss  0.567461, Average Loss  0.560064, Time  0.235407
2021-09-11 03:45:46.054023 : Epoch  1, Batch   1561, Loss  0.867827, Average Loss  0.874247, Time  0.243244
2021-09-11 03:45:46.153026 : Epoch  3, Batch   2029, Loss  0.867770, Average Loss  0.870355, Time  0.172122
2021-09-11 03:45:46.701855 : Epoch  5, Batch    546, Loss  0.553360, Average Loss  0.560051, Time  0.232291
2021-09-11 03:45:47.798071 : Epoch  3, Batch   2030, Loss  0.874613, Average Loss  0.870451, Time  0.180401
2021-09-11 03:45:48.406247 : Epoch  5, Batch    547, Loss  0.564855, Average Loss  0.560111, Time  0.253420
2021-09-11 03:45:48.694105 : Epoch  1, Batch   1562, Loss  0.877570, Average Loss  0.874302, Time  0.239294
2021-09-11 03:45:49.432050 : Epoch  3, Batch   2031, Loss  0.849001, Average Loss  0.870323, Time  0.175562
2021-09-11 03:45:50.109255 : Epoch  5, Batch    548, Loss  0.573846, Average Loss  0.560214, Time  0.232337
2021-09-11 03:45:51.058021 : Epoch  3, Batch   2032, Loss  0.841279, Average Loss  0.870254, Time  0.170254
2021-09-11 03:45:51.321059 : Epoch  1, Batch   1563, Loss  0.845617, Average Loss  0.874084, Time  0.239723
2021-09-11 03:45:51.631100 : Epoch  5, Batch    549, Loss  0.546824, Average Loss  0.560068, Time  0.231930
2021-09-11 03:45:52.676032 : Epoch  3, Batch   2033, Loss  0.862527, Average Loss  0.870351, Time  0.173526
2021-09-11 03:45:53.155279 : Epoch  5, Batch    550, Loss  0.569818, Average Loss  0.560149, Time  0.232256
2021-09-11 03:45:53.968923 : Epoch  1, Batch   1564, Loss  0.880382, Average Loss  0.874141, Time  0.245307
2021-09-11 03:45:54.293745 : Epoch  3, Batch   2034, Loss  0.863383, Average Loss  0.870341, Time  0.171339
2021-09-11 03:45:54.671998 : Epoch  5, Batch    551, Loss  0.555967, Average Loss  0.560089, Time  0.231895
2021-09-11 03:45:55.899729 : Epoch  3, Batch   2035, Loss  0.856984, Average Loss  0.870296, Time  0.178140
2021-09-11 03:45:56.190825 : Epoch  5, Batch    552, Loss  0.558796, Average Loss  0.560135, Time  0.232103
2021-09-11 03:45:56.601303 : Epoch  1, Batch   1565, Loss  0.871957, Average Loss  0.874078, Time  0.244743
2021-09-11 03:45:57.511942 : Epoch  3, Batch   2036, Loss  0.898455, Average Loss  0.870308, Time  0.177631
2021-09-11 03:45:59.127738 : Epoch  3, Batch   2037, Loss  0.851521, Average Loss  0.870258, Time  0.181793
2021-09-11 03:45:59.246467 : Epoch  1, Batch   1566, Loss  0.879991, Average Loss  0.874176, Time  0.242854
2021-09-11 03:46:00.751857 : Epoch  3, Batch   2038, Loss  0.870632, Average Loss  0.870110, Time  0.172276
2021-09-11 03:46:01.877489 : Epoch  1, Batch   1567, Loss  0.883396, Average Loss  0.874194, Time  0.243946
2021-09-11 03:46:02.370888 : Epoch  3, Batch   2039, Loss  0.870075, Average Loss  0.870129, Time  0.170456
2021-09-11 03:46:03.980034 : Epoch  3, Batch   2040, Loss  0.895940, Average Loss  0.870353, Time  0.173686
2021-09-11 03:46:04.513811 : Epoch  1, Batch   1568, Loss  0.872764, Average Loss  0.874203, Time  0.242967
2021-09-11 03:46:05.603032 : Epoch  3, Batch   2041, Loss  0.871249, Average Loss  0.870345, Time  0.175429
2021-09-11 03:46:07.143310 : Epoch  1, Batch   1569, Loss  0.875857, Average Loss  0.874186, Time  0.246732
2021-09-11 03:46:07.230818 : Epoch  3, Batch   2042, Loss  0.866223, Average Loss  0.870286, Time  0.175345
2021-09-11 03:46:08.885010 : Epoch  3, Batch   2043, Loss  0.872347, Average Loss  0.870269, Time  0.175301
2021-09-11 03:46:09.785979 : Epoch  1, Batch   1570, Loss  0.865506, Average Loss  0.874086, Time  0.241944
2021-09-11 03:46:10.502762 : Epoch  3, Batch   2044, Loss  0.877782, Average Loss  0.870249, Time  0.172336
2021-09-11 03:46:12.130930 : Epoch  3, Batch   2045, Loss  0.880577, Average Loss  0.870312, Time  0.171745
2021-09-11 03:46:12.483451 : Epoch  1, Batch   1571, Loss  0.872314, Average Loss  0.874037, Time  0.245353
2021-09-11 03:46:13.744033 : Epoch  3, Batch   2046, Loss  0.893438, Average Loss  0.870481, Time  0.170932
2021-09-11 03:46:15.124175 : Epoch  1, Batch   1572, Loss  0.875465, Average Loss  0.874152, Time  0.257788
2021-09-11 03:46:15.349031 : Epoch  3, Batch   2047, Loss  0.884153, Average Loss  0.870642, Time  0.177654
2021-09-11 03:46:16.955038 : Epoch  3, Batch   2048, Loss  0.889439, Average Loss  0.870703, Time  0.172130
2021-09-11 03:46:17.774999 : Epoch  1, Batch   1573, Loss  0.892610, Average Loss  0.874278, Time  0.245333
2021-09-11 03:46:18.579028 : Epoch  3, Batch   2049, Loss  0.866943, Average Loss  0.870588, Time  0.175893
2021-09-11 03:46:20.212029 : Epoch  3, Batch   2050, Loss  0.900402, Average Loss  0.870842, Time  0.172691
2021-09-11 03:46:20.390040 : Epoch  1, Batch   1574, Loss  0.862028, Average Loss  0.874146, Time  0.244080
2021-09-11 03:46:21.825742 : Epoch  3, Batch   2051, Loss  0.880146, Average Loss  0.870947, Time  0.172684
2021-09-11 03:46:23.026974 : Epoch  1, Batch   1575, Loss  0.887377, Average Loss  0.874190, Time  0.241772
2021-09-11 03:46:23.466281 : Epoch  3, Batch   2052, Loss  0.885389, Average Loss  0.871034, Time  0.171919
2021-09-11 03:46:25.084795 : Epoch  3, Batch   2053, Loss  0.840271, Average Loss  0.870949, Time  0.170202
2021-09-11 03:46:25.714502 : Epoch  1, Batch   1576, Loss  0.883533, Average Loss  0.874174, Time  0.255383
2021-09-11 03:46:26.711801 : Epoch  3, Batch   2054, Loss  0.871053, Average Loss  0.870969, Time  0.172010
2021-09-11 03:46:28.355116 : Epoch  3, Batch   2055, Loss  0.849631, Average Loss  0.870706, Time  0.187625
2021-09-11 03:46:30.007748 : Epoch  3, Batch   2056, Loss  0.866073, Average Loss  0.870755, Time  0.169604
2021-09-11 03:46:31.024946 : Epoch  1, Batch   1578, Loss  0.866598, Average Loss  0.874252, Time  0.250163
2021-09-11 03:46:31.636023 : Epoch  3, Batch   2057, Loss  0.854460, Average Loss  0.870631, Time  0.181750
2021-09-11 03:46:33.245742 : Epoch  3, Batch   2058, Loss  0.863913, Average Loss  0.870629, Time  0.172053
2021-09-11 03:46:33.655885 : Epoch  1, Batch   1579, Loss  0.876501, Average Loss  0.874310, Time  0.242448
2021-09-11 03:46:34.857030 : Epoch  3, Batch   2059, Loss  0.889061, Average Loss  0.870816, Time  0.170425
2021-09-11 03:46:36.280087 : Epoch  1, Batch   1580, Loss  0.872985, Average Loss  0.874228, Time  0.241759
2021-09-11 03:46:36.448033 : Epoch  3, Batch   2060, Loss  0.849683, Average Loss  0.870559, Time  0.170806
2021-09-11 03:46:38.042033 : Epoch  3, Batch   2061, Loss  0.828230, Average Loss  0.870489, Time  0.169758
2021-09-11 03:46:38.918563 : Epoch  1, Batch   1581, Loss  0.852944, Average Loss  0.874242, Time  0.245171
2021-09-11 03:46:39.677769 : Epoch  3, Batch   2062, Loss  0.883145, Average Loss  0.870591, Time  0.171890
2021-09-11 03:46:41.302916 : Epoch  3, Batch   2063, Loss  0.865300, Average Loss  0.870533, Time  0.170920
2021-09-11 03:46:41.581951 : Epoch  1, Batch   1582, Loss  0.899526, Average Loss  0.874316, Time  0.248961
2021-09-11 03:46:42.911034 : Epoch  3, Batch   2064, Loss  0.859589, Average Loss  0.870426, Time  0.170519
2021-09-11 03:46:44.224794 : Epoch  1, Batch   1583, Loss  0.863257, Average Loss  0.874295, Time  0.247598
2021-09-11 03:46:44.525029 : Epoch  3, Batch   2065, Loss  0.830259, Average Loss  0.870151, Time  0.172739
2021-09-11 03:46:46.119793 : Epoch  3, Batch   2066, Loss  0.885642, Average Loss  0.870227, Time  0.172229
2021-09-11 03:46:46.845005 : Epoch  1, Batch   1584, Loss  0.878495, Average Loss  0.874098, Time  0.244658
2021-09-11 03:46:47.711024 : Epoch  3, Batch   2067, Loss  0.837787, Average Loss  0.870129, Time  0.169929
2021-09-11 03:46:49.319022 : Epoch  3, Batch   2068, Loss  0.864437, Average Loss  0.870174, Time  0.170375
2021-09-11 03:46:49.476299 : Epoch  1, Batch   1585, Loss  0.870664, Average Loss  0.874089, Time  0.238763
2021-09-11 03:46:50.939518 : Epoch  3, Batch   2069, Loss  0.869479, Average Loss  0.870134, Time  0.171011
2021-09-11 03:46:52.159309 : Epoch  1, Batch   1586, Loss  0.887140, Average Loss  0.874157, Time  0.272067
2021-09-11 03:46:52.604044 : Epoch  3, Batch   2070, Loss  0.867753, Average Loss  0.870053, Time  0.172338
2021-09-11 03:46:53.058881 : CheckPoint: Validation Loss  0.00023815, Best Loss  0.00022844
2021-09-11 03:46:54.224037 : Epoch  3, Batch   2071, Loss  0.889778, Average Loss  0.870165, Time  0.170791
2021-09-11 03:46:54.749514 : Epoch  5, Batch    553, Loss  0.571467, Average Loss  0.560182, Time  0.320650
2021-09-11 03:46:54.881402 : Epoch  1, Batch   1587, Loss  0.880816, Average Loss  0.874133, Time  0.283865
2021-09-11 03:46:55.855020 : Epoch  3, Batch   2072, Loss  0.887336, Average Loss  0.870201, Time  0.173164
2021-09-11 03:46:56.263197 : Epoch  5, Batch    554, Loss  0.556522, Average Loss  0.560219, Time  0.232114
2021-09-11 03:46:57.439793 : Epoch  3, Batch   2073, Loss  0.878174, Average Loss  0.870398, Time  0.175887
2021-09-11 03:46:57.524051 : Epoch  1, Batch   1588, Loss  0.887853, Average Loss  0.874195, Time  0.247770
2021-09-11 03:46:57.781970 : Epoch  5, Batch    555, Loss  0.559519, Average Loss  0.560206, Time  0.232296
2021-09-11 03:46:59.052028 : Epoch  3, Batch   2074, Loss  0.873393, Average Loss  0.870459, Time  0.173950
2021-09-11 03:46:59.290242 : Epoch  5, Batch    556, Loss  0.554027, Average Loss  0.560124, Time  0.232296
2021-09-11 03:47:00.169130 : Epoch  1, Batch   1589, Loss  0.877607, Average Loss  0.874193, Time  0.240815
2021-09-11 03:47:00.687759 : Epoch  3, Batch   2075, Loss  0.852532, Average Loss  0.870419, Time  0.172999
2021-09-11 03:47:00.806081 : Epoch  5, Batch    557, Loss  0.556624, Average Loss  0.560011, Time  0.232053
2021-09-11 03:47:02.306921 : Epoch  3, Batch   2076, Loss  0.858026, Average Loss  0.870407, Time  0.172951
2021-09-11 03:47:02.324704 : Epoch  5, Batch    558, Loss  0.568824, Average Loss  0.560032, Time  0.231718
2021-09-11 03:47:02.812072 : Epoch  1, Batch   1590, Loss  0.866009, Average Loss  0.874096, Time  0.261005
2021-09-11 03:47:03.868148 : Epoch  5, Batch    559, Loss  0.543751, Average Loss  0.559935, Time  0.233184
2021-09-11 03:47:03.934911 : Epoch  3, Batch   2077, Loss  0.879069, Average Loss  0.870576, Time  0.171075
2021-09-11 03:47:05.556036 : Epoch  3, Batch   2078, Loss  0.841720, Average Loss  0.870553, Time  0.173725
2021-09-11 03:47:05.609297 : Epoch  5, Batch    560, Loss  0.568491, Average Loss  0.559959, Time  0.442720
2021-09-11 03:47:05.636949 : Epoch  1, Batch   1591, Loss  0.870123, Average Loss  0.874042, Time  0.403582
2021-09-11 03:47:07.122251 : Epoch  5, Batch    561, Loss  0.554715, Average Loss  0.559915, Time  0.232231
2021-09-11 03:47:08.261969 : Epoch  1, Batch   1592, Loss  0.865342, Average Loss  0.874008, Time  0.245630
2021-09-11 03:47:08.633314 : Epoch  5, Batch    562, Loss  0.553475, Average Loss  0.559880, Time  0.232615
2021-09-11 03:47:10.140427 : Epoch  5, Batch    563, Loss  0.559242, Average Loss  0.559930, Time  0.232348
2021-09-11 03:47:10.898817 : Epoch  1, Batch   1593, Loss  0.883574, Average Loss  0.874097, Time  0.244685
2021-09-11 03:47:11.641043 : Epoch  5, Batch    564, Loss  0.565762, Average Loss  0.559966, Time  0.232017
2021-09-11 03:47:13.177097 : Epoch  5, Batch    565, Loss  0.559542, Average Loss  0.559953, Time  0.233595
2021-09-11 03:47:13.566197 : Epoch  1, Batch   1594, Loss  0.871849, Average Loss  0.874196, Time  0.288584
2021-09-11 03:47:14.687947 : Epoch  5, Batch    566, Loss  0.548631, Average Loss  0.559831, Time  0.232263
2021-09-11 03:47:16.293291 : Epoch  5, Batch    567, Loss  0.569973, Average Loss  0.559915, Time  0.319496
2021-09-11 03:47:16.423096 : Epoch  1, Batch   1595, Loss  0.855375, Average Loss  0.874127, Time  0.281448
2021-09-11 03:47:17.807786 : Epoch  5, Batch    568, Loss  0.559315, Average Loss  0.559951, Time  0.233517
2021-09-11 03:47:19.045099 : Epoch  1, Batch   1596, Loss  0.868687, Average Loss  0.874076, Time  0.244942
2021-09-11 03:47:19.317202 : Epoch  5, Batch    569, Loss  0.567220, Average Loss  0.559969, Time  0.232465
2021-09-11 03:47:20.823823 : Epoch  5, Batch    570, Loss  0.549674, Average Loss  0.559917, Time  0.231688
2021-09-11 03:47:21.776349 : Epoch  1, Batch   1597, Loss  0.873531, Average Loss  0.874138, Time  0.259516
2021-09-11 03:47:22.315837 : Epoch  5, Batch    571, Loss  0.557732, Average Loss  0.559979, Time  0.230892
2021-09-11 03:47:23.842743 : Epoch  5, Batch    572, Loss  0.558665, Average Loss  0.559912, Time  0.232797
2021-09-11 03:47:24.608945 : Epoch  1, Batch   1598, Loss  0.873169, Average Loss  0.874137, Time  0.241301
2021-09-11 03:47:25.369311 : Epoch  5, Batch    573, Loss  0.567638, Average Loss  0.559933, Time  0.232747
2021-09-11 03:47:26.886832 : Epoch  5, Batch    574, Loss  0.551633, Average Loss  0.559850, Time  0.231821
2021-09-11 03:47:27.241105 : Epoch  1, Batch   1599, Loss  0.878464, Average Loss  0.874202, Time  0.240968
2021-09-11 03:47:28.398051 : Epoch  5, Batch    575, Loss  0.552453, Average Loss  0.559860, Time  0.232317
2021-09-11 03:47:30.085879 : Epoch  5, Batch    576, Loss  0.545554, Average Loss  0.559796, Time  0.390233
2021-09-11 03:47:30.131912 : Epoch  1, Batch   1600, Loss  0.893201, Average Loss  0.874370, Time  0.451069
2021-09-11 03:47:31.606403 : Epoch  5, Batch    577, Loss  0.558384, Average Loss  0.559811, Time  0.232891
2021-09-11 03:47:33.119773 : Epoch  5, Batch    578, Loss  0.553622, Average Loss  0.559725, Time  0.232289
2021-09-11 03:47:34.637147 : Epoch  5, Batch    579, Loss  0.552540, Average Loss  0.559680, Time  0.231962
2021-09-11 03:47:36.154244 : Epoch  5, Batch    580, Loss  0.556592, Average Loss  0.559667, Time  0.232881
2021-09-11 03:47:37.675172 : Epoch  5, Batch    581, Loss  0.566246, Average Loss  0.559702, Time  0.232416
2021-09-11 03:47:39.193802 : Epoch  5, Batch    582, Loss  0.553910, Average Loss  0.559664, Time  0.232428
2021-09-11 03:47:40.821134 : Epoch  5, Batch    583, Loss  0.560060, Average Loss  0.559596, Time  0.233844
2021-09-11 03:47:42.393972 : Epoch  5, Batch    584, Loss  0.554157, Average Loss  0.559538, Time  0.273081
2021-09-11 03:47:43.909690 : Epoch  5, Batch    585, Loss  0.563073, Average Loss  0.559556, Time  0.231958
2021-09-11 03:47:45.422308 : Epoch  5, Batch    586, Loss  0.542179, Average Loss  0.559502, Time  0.232389
2021-09-11 03:47:47.028282 : Epoch  5, Batch    587, Loss  0.561437, Average Loss  0.559536, Time  0.312824
2021-09-11 03:47:48.545842 : Epoch  5, Batch    588, Loss  0.547751, Average Loss  0.559439, Time  0.231968
2021-09-11 03:47:50.072935 : Epoch  5, Batch    589, Loss  0.551921, Average Loss  0.559430, Time  0.233617
2021-09-11 03:47:51.598258 : Epoch  5, Batch    590, Loss  0.571733, Average Loss  0.559489, Time  0.232180
2021-09-11 03:47:53.119946 : Epoch  5, Batch    591, Loss  0.564045, Average Loss  0.559482, Time  0.231776
2021-09-11 03:47:54.634970 : Epoch  5, Batch    592, Loss  0.565728, Average Loss  0.559448, Time  0.232052
2021-09-11 03:47:56.153253 : Epoch  5, Batch    593, Loss  0.544941, Average Loss  0.559341, Time  0.232750
2021-09-11 03:47:57.663561 : Epoch  5, Batch    594, Loss  0.566971, Average Loss  0.559406, Time  0.231972
2021-09-11 03:47:59.325865 : Epoch  5, Batch    595, Loss  0.558277, Average Loss  0.559355, Time  0.251290
2021-09-11 03:48:00.859255 : Epoch  5, Batch    596, Loss  0.556686, Average Loss  0.559365, Time  0.232797
2021-09-11 03:48:02.402481 : Epoch  5, Batch    597, Loss  0.552341, Average Loss  0.559276, Time  0.233392
2021-09-11 03:48:03.990766 : Epoch  5, Batch    598, Loss  0.549236, Average Loss  0.559186, Time  0.309117
2021-09-11 03:48:05.507176 : Epoch  5, Batch    599, Loss  0.562617, Average Loss  0.559103, Time  0.232358
2021-09-11 03:48:07.020013 : Epoch  5, Batch    600, Loss  0.565677, Average Loss  0.559170, Time  0.232685
2021-09-11 03:48:08.686364 : Epoch  5, Batch    601, Loss  0.547351, Average Loss  0.559163, Time  0.314050
2021-09-11 03:48:10.197814 : Epoch  5, Batch    602, Loss  0.553659, Average Loss  0.559177, Time  0.231759
2021-09-11 03:48:11.794287 : Epoch  5, Batch    603, Loss  0.571084, Average Loss  0.559240, Time  0.237052
2021-09-11 03:48:13.307769 : Epoch  5, Batch    604, Loss  0.552805, Average Loss  0.559224, Time  0.231935
2021-09-11 03:48:14.955986 : Epoch  5, Batch    605, Loss  0.563523, Average Loss  0.559209, Time  0.233129
2021-09-11 03:48:16.592259 : Epoch  5, Batch    606, Loss  0.553049, Average Loss  0.559167, Time  0.233515
2021-09-11 03:48:18.132857 : Epoch  5, Batch    607, Loss  0.554455, Average Loss  0.559134, Time  0.233477
2021-09-11 03:48:19.805311 : Epoch  5, Batch    608, Loss  0.554869, Average Loss  0.559154, Time  0.251073
2021-09-11 03:48:21.468332 : Epoch  5, Batch    609, Loss  0.563813, Average Loss  0.559176, Time  0.251807
2021-09-11 03:48:23.219062 : Epoch  5, Batch    610, Loss  0.549370, Average Loss  0.559165, Time  0.333020
2021-09-11 03:48:24.877438 : Epoch  5, Batch    611, Loss  0.556669, Average Loss  0.559126, Time  0.251268
2021-09-11 03:48:26.465781 : Epoch  5, Batch    612, Loss  0.562565, Average Loss  0.559142, Time  0.232833
2021-09-11 03:48:28.141375 : Epoch  5, Batch    613, Loss  0.582733, Average Loss  0.559220, Time  0.252420
2021-09-11 03:48:29.802811 : Epoch  5, Batch    614, Loss  0.572756, Average Loss  0.559213, Time  0.251368
2021-09-11 03:48:31.470425 : Epoch  5, Batch    615, Loss  0.556738, Average Loss  0.559160, Time  0.251610
2021-09-11 03:48:33.165967 : Epoch  5, Batch    616, Loss  0.556720, Average Loss  0.559158, Time  0.273294
2021-09-11 03:48:34.859046 : Epoch  5, Batch    617, Loss  0.541433, Average Loss  0.559051, Time  0.251276
2021-09-11 03:48:36.392283 : Epoch  5, Batch    618, Loss  0.565156, Average Loss  0.559110, Time  0.251886
2021-09-11 03:48:38.054314 : Epoch  5, Batch    619, Loss  0.548010, Average Loss  0.559111, Time  0.251538
2021-09-11 03:48:39.716300 : Epoch  5, Batch    620, Loss  0.551223, Average Loss  0.559049, Time  0.254061
2021-09-11 03:48:41.378142 : Epoch  5, Batch    621, Loss  0.556845, Average Loss  0.559034, Time  0.251428
2021-09-11 03:48:43.063821 : Epoch  5, Batch    622, Loss  0.557086, Average Loss  0.559032, Time  0.255335
2021-09-11 03:48:47.177933 : Epoch  5, Batch    623, Loss  0.547077, Average Loss  0.558969, Time  0.334655
2021-09-11 03:48:48.879513 : Epoch  5, Batch    624, Loss  0.562069, Average Loss  0.558944, Time  0.251981
2021-09-11 03:48:50.567064 : Epoch  5, Batch    625, Loss  0.566593, Average Loss  0.559020, Time  0.252585
2021-09-11 03:48:52.235781 : Epoch  5, Batch    626, Loss  0.556551, Average Loss  0.558983, Time  0.251148
2021-09-11 03:48:53.881070 : Epoch  5, Batch    627, Loss  0.561508, Average Loss  0.559054, Time  0.233321
2021-09-11 03:48:55.418071 : Epoch  5, Batch    628, Loss  0.555859, Average Loss  0.559012, Time  0.232929
2021-09-11 03:48:56.967985 : Epoch  5, Batch    629, Loss  0.544492, Average Loss  0.558887, Time  0.232907
2021-09-11 03:48:58.640376 : Epoch  5, Batch    630, Loss  0.567395, Average Loss  0.558973, Time  0.251287
2021-09-11 03:49:00.313109 : Epoch  5, Batch    631, Loss  0.571958, Average Loss  0.558988, Time  0.251627
2021-09-11 03:49:02.008653 : Epoch  5, Batch    632, Loss  0.564289, Average Loss  0.559091, Time  0.254039
2021-09-11 03:49:03.702196 : Epoch  5, Batch    633, Loss  0.550224, Average Loss  0.559003, Time  0.252105
2021-09-11 03:49:05.367365 : Epoch  5, Batch    634, Loss  0.571018, Average Loss  0.559084, Time  0.251417
2021-09-11 03:49:07.054988 : Epoch  5, Batch    635, Loss  0.562601, Average Loss  0.559105, Time  0.255985
2021-09-11 03:49:08.719385 : Epoch  5, Batch    636, Loss  0.559318, Average Loss  0.559123, Time  0.351921
2021-09-11 03:49:10.268053 : Epoch  5, Batch    637, Loss  0.546023, Average Loss  0.559084, Time  0.231831
2021-09-11 03:49:11.783305 : Epoch  5, Batch    638, Loss  0.571415, Average Loss  0.559174, Time  0.232108
2021-09-11 03:49:13.342200 : Epoch  5, Batch    639, Loss  0.555152, Average Loss  0.559136, Time  0.265152
2021-09-11 03:49:14.859330 : Epoch  5, Batch    640, Loss  0.564367, Average Loss  0.559182, Time  0.232967
2021-09-11 03:49:16.392004 : Epoch  5, Batch    641, Loss  0.551384, Average Loss  0.559140, Time  0.232783
2021-09-11 03:49:17.914121 : Epoch  5, Batch    642, Loss  0.545483, Average Loss  0.559019, Time  0.232209
2021-09-11 03:49:19.431332 : Epoch  5, Batch    643, Loss  0.545633, Average Loss  0.558966, Time  0.232134
2021-09-11 03:49:21.101008 : Epoch  5, Batch    644, Loss  0.559196, Average Loss  0.558972, Time  0.232791
2021-09-11 03:49:22.620847 : Epoch  5, Batch    645, Loss  0.567058, Average Loss  0.559022, Time  0.232334
2021-09-11 03:49:24.144244 : Epoch  5, Batch    646, Loss  0.547621, Average Loss  0.558962, Time  0.232303
2021-09-11 03:49:25.691388 : Epoch  5, Batch    647, Loss  0.572838, Average Loss  0.558981, Time  0.234749
2021-09-11 03:49:27.254468 : Epoch  5, Batch    648, Loss  0.556273, Average Loss  0.558974, Time  0.232515
2021-09-11 03:49:27.407077 : Epoch  5, Batch    649, Loss  0.649655, Average Loss  0.559364, Time  0.095103
2021-09-11 03:49:28.923382 : Epoch  5, Batch    650, Loss  0.561513, Average Loss  0.559381, Time  0.232281
2021-09-11 03:49:30.441923 : Epoch  5, Batch    651, Loss  0.566918, Average Loss  0.559385, Time  0.233139
2021-09-11 03:49:31.966349 : Epoch  5, Batch    652, Loss  0.578450, Average Loss  0.559506, Time  0.233154
2021-09-11 03:50:28.212892 : CheckPoint: Validation Loss  0.00023823, Best Loss  0.00022844
2021-09-11 03:50:29.756673 : Epoch  5, Batch    653, Loss  0.580526, Average Loss  0.559575, Time  0.232568
2021-09-11 03:50:31.267986 : Epoch  5, Batch    654, Loss  0.587802, Average Loss  0.559706, Time  0.232516
2021-09-11 03:50:32.864066 : Epoch  5, Batch    655, Loss  0.579076, Average Loss  0.559827, Time  0.314491
2021-09-11 03:50:34.548105 : Epoch  5, Batch    656, Loss  0.581489, Average Loss  0.559923, Time  0.252495
2021-09-11 03:50:36.224838 : Epoch  5, Batch    657, Loss  0.582163, Average Loss  0.560015, Time  0.251974
2021-09-11 03:50:37.896282 : Epoch  5, Batch    658, Loss  0.568941, Average Loss  0.560073, Time  0.251442
2021-09-11 03:50:39.412923 : Epoch  5, Batch    659, Loss  0.570041, Average Loss  0.560172, Time  0.231751
2021-09-11 03:50:40.928804 : Epoch  5, Batch    660, Loss  0.559550, Average Loss  0.560183, Time  0.232430
2021-09-11 03:50:42.515101 : Epoch  5, Batch    661, Loss  0.562239, Average Loss  0.560209, Time  0.308956
2021-09-11 03:50:44.037819 : Epoch  5, Batch    662, Loss  0.564210, Average Loss  0.560283, Time  0.231991
2021-09-11 03:50:45.570095 : Epoch  5, Batch    663, Loss  0.578995, Average Loss  0.560438, Time  0.232934
2021-09-11 03:50:47.185265 : Epoch  5, Batch    664, Loss  0.558539, Average Loss  0.560418, Time  0.313587
2021-09-11 03:50:48.711047 : Epoch  5, Batch    665, Loss  0.567260, Average Loss  0.560459, Time  0.231902
2021-09-11 03:50:50.254068 : Epoch  5, Batch    666, Loss  0.559894, Average Loss  0.560501, Time  0.232802
2021-09-11 03:50:51.776799 : Epoch  5, Batch    667, Loss  0.571576, Average Loss  0.560536, Time  0.231566
2021-09-11 03:50:53.289263 : Epoch  5, Batch    668, Loss  0.561597, Average Loss  0.560505, Time  0.232142
2021-09-11 03:50:54.830842 : Epoch  5, Batch    669, Loss  0.564228, Average Loss  0.560502, Time  0.233664
2021-09-11 03:50:56.349796 : Epoch  5, Batch    670, Loss  0.569294, Average Loss  0.560530, Time  0.231836
2021-09-11 03:50:57.873146 : Epoch  5, Batch    671, Loss  0.562033, Average Loss  0.560538, Time  0.231885
2021-09-11 03:50:59.551301 : Epoch  5, Batch    672, Loss  0.566428, Average Loss  0.560561, Time  0.251835
2021-09-11 03:51:01.196567 : Epoch  5, Batch    673, Loss  0.568727, Average Loss  0.560608, Time  0.233261
2021-09-11 03:51:02.720333 : Epoch  5, Batch    674, Loss  0.571719, Average Loss  0.560583, Time  0.232022
2021-09-11 03:51:04.314833 : Epoch  5, Batch    675, Loss  0.574071, Average Loss  0.560660, Time  0.232279
2021-09-11 03:51:05.975808 : Epoch  5, Batch    676, Loss  0.575765, Average Loss  0.560679, Time  0.234449
2021-09-11 03:51:07.500514 : Epoch  5, Batch    677, Loss  0.569544, Average Loss  0.560661, Time  0.233430
2021-09-11 03:51:09.025972 : Epoch  5, Batch    678, Loss  0.578057, Average Loss  0.560754, Time  0.234647
2021-09-11 03:51:10.546914 : Epoch  5, Batch    679, Loss  0.559523, Average Loss  0.560748, Time  0.234248
2021-09-11 03:51:12.070317 : Epoch  5, Batch    680, Loss  0.565030, Average Loss  0.560782, Time  0.232352
2021-09-11 03:51:13.661805 : Epoch  5, Batch    681, Loss  0.558420, Average Loss  0.560717, Time  0.297942
2021-09-11 03:51:15.182893 : Epoch  5, Batch    682, Loss  0.567509, Average Loss  0.560755, Time  0.232115
2021-09-11 03:51:16.735942 : Epoch  5, Batch    683, Loss  0.562972, Average Loss  0.560813, Time  0.233415
2021-09-11 03:51:18.361266 : Epoch  5, Batch    684, Loss  0.559948, Average Loss  0.560832, Time  0.313909
2021-09-11 03:51:19.872018 : Epoch  5, Batch    685, Loss  0.572413, Average Loss  0.560900, Time  0.231280
2021-09-11 03:51:21.383934 : Epoch  5, Batch    686, Loss  0.568770, Average Loss  0.560993, Time  0.232407
2021-09-11 03:51:22.892850 : Epoch  5, Batch    687, Loss  0.548181, Average Loss  0.560985, Time  0.231706
2021-09-11 03:51:24.402031 : Epoch  5, Batch    688, Loss  0.566985, Average Loss  0.561008, Time  0.232207
2021-09-11 03:51:25.946155 : Epoch  5, Batch    689, Loss  0.562300, Average Loss  0.560982, Time  0.233763
2021-09-11 03:51:27.473022 : Epoch  5, Batch    690, Loss  0.550775, Average Loss  0.560898, Time  0.232048
2021-09-11 03:51:28.994933 : Epoch  5, Batch    691, Loss  0.560860, Average Loss  0.560871, Time  0.232029
2021-09-11 03:51:30.508291 : Epoch  5, Batch    692, Loss  0.571131, Average Loss  0.560904, Time  0.232219
2021-09-11 03:51:32.023001 : Epoch  5, Batch    693, Loss  0.555874, Average Loss  0.560963, Time  0.231791
2021-09-11 03:51:33.533603 : Epoch  5, Batch    694, Loss  0.556691, Average Loss  0.561004, Time  0.232421
2021-09-11 03:51:34.211774 : CheckPoint: Validation Loss  0.00030682, Best Loss  0.00029681
2021-09-11 03:51:35.065092 : Epoch  5, Batch    695, Loss  0.559175, Average Loss  0.560951, Time  0.233310
2021-09-11 03:51:36.585309 : Epoch  5, Batch    696, Loss  0.540800, Average Loss  0.560805, Time  0.231846
2021-09-11 03:51:36.821599 : Epoch  1, Batch   1601, Loss  0.879143, Average Loss  0.874497, Time  0.242504
2021-09-11 03:51:38.090818 : Epoch  5, Batch    697, Loss  0.565634, Average Loss  0.560803, Time  0.231240
2021-09-11 03:51:39.594162 : Epoch  1, Batch   1602, Loss  0.878973, Average Loss  0.874548, Time  0.368521
2021-09-11 03:51:39.672924 : Epoch  5, Batch    698, Loss  0.559939, Average Loss  0.560814, Time  0.298061
2021-09-11 03:51:41.206782 : Epoch  5, Batch    699, Loss  0.566949, Average Loss  0.560896, Time  0.235280
2021-09-11 03:51:42.297121 : Epoch  1, Batch   1603, Loss  0.874115, Average Loss  0.874618, Time  0.288918
2021-09-11 03:51:42.708065 : Epoch  5, Batch    700, Loss  0.556827, Average Loss  0.560889, Time  0.231852
2021-09-11 03:51:44.251877 : Epoch  5, Batch    701, Loss  0.567061, Average Loss  0.560906, Time  0.233257
2021-09-11 03:51:44.925593 : Epoch  1, Batch   1604, Loss  0.884850, Average Loss  0.874624, Time  0.239858
2021-09-11 03:51:45.311069 : CheckPoint: Validation Loss  0.00060032, Best Loss  0.00057296
2021-09-11 03:51:45.773866 : Epoch  5, Batch    702, Loss  0.572308, Average Loss  0.560951, Time  0.232424
2021-09-11 03:51:46.942940 : Epoch  3, Batch   2079, Loss  0.865739, Average Loss  0.870635, Time  0.177998
2021-09-11 03:51:47.292263 : Epoch  5, Batch    703, Loss  0.548742, Average Loss  0.560859, Time  0.231719
2021-09-11 03:51:47.562920 : Epoch  1, Batch   1605, Loss  0.872199, Average Loss  0.874649, Time  0.244782
2021-09-11 03:51:48.568004 : Epoch  3, Batch   2080, Loss  0.872180, Average Loss  0.870572, Time  0.174583
2021-09-11 03:51:48.802969 : Epoch  5, Batch    704, Loss  0.546902, Average Loss  0.560833, Time  0.232418
2021-09-11 03:51:50.205989 : Epoch  3, Batch   2081, Loss  0.870122, Average Loss  0.870656, Time  0.174502
2021-09-11 03:51:50.321918 : Epoch  1, Batch   1606, Loss  0.870855, Average Loss  0.874662, Time  0.373517
2021-09-11 03:51:50.399111 : Epoch  5, Batch    705, Loss  0.547040, Average Loss  0.560722, Time  0.302460
2021-09-11 03:51:51.828869 : Epoch  3, Batch   2082, Loss  0.855384, Average Loss  0.870593, Time  0.175870
2021-09-11 03:51:51.909405 : Epoch  5, Batch    706, Loss  0.575696, Average Loss  0.560765, Time  0.232188
2021-09-11 03:51:52.967886 : Epoch  1, Batch   1607, Loss  0.861836, Average Loss  0.874549, Time  0.239769
2021-09-11 03:51:53.437930 : Epoch  3, Batch   2083, Loss  0.893682, Average Loss  0.870689, Time  0.174461
2021-09-11 03:51:53.459153 : Epoch  5, Batch    707, Loss  0.560464, Average Loss  0.560712, Time  0.232260
2021-09-11 03:51:54.980877 : Epoch  5, Batch    708, Loss  0.572863, Average Loss  0.560797, Time  0.232229
2021-09-11 03:51:55.037748 : Epoch  3, Batch   2084, Loss  0.863016, Average Loss  0.870628, Time  0.169910
2021-09-11 03:51:55.601023 : Epoch  1, Batch   1608, Loss  0.855524, Average Loss  0.874518, Time  0.243050
2021-09-11 03:51:56.494793 : Epoch  5, Batch    709, Loss  0.552381, Average Loss  0.560735, Time  0.235705
2021-09-11 03:51:56.674022 : Epoch  3, Batch   2085, Loss  0.849147, Average Loss  0.870529, Time  0.170043
2021-09-11 03:51:58.040957 : Epoch  5, Batch    710, Loss  0.563130, Average Loss  0.560791, Time  0.252551
2021-09-11 03:51:58.307031 : Epoch  3, Batch   2086, Loss  0.834020, Average Loss  0.870373, Time  0.174054
2021-09-11 03:51:58.364410 : Epoch  1, Batch   1609, Loss  0.868152, Average Loss  0.874532, Time  0.241923
2021-09-11 03:51:59.559491 : Epoch  5, Batch    711, Loss  0.556991, Average Loss  0.560767, Time  0.233775
2021-09-11 03:51:59.912027 : Epoch  3, Batch   2087, Loss  0.869655, Average Loss  0.870534, Time  0.174662
2021-09-11 03:52:01.232485 : Epoch  1, Batch   1610, Loss  0.868779, Average Loss  0.874396, Time  0.387176
2021-09-11 03:52:01.293193 : Epoch  5, Batch    712, Loss  0.553998, Average Loss  0.560717, Time  0.303584
2021-09-11 03:52:01.517031 : Epoch  3, Batch   2088, Loss  0.823754, Average Loss  0.870294, Time  0.170751
2021-09-11 03:52:02.981917 : Epoch  5, Batch    713, Loss  0.574283, Average Loss  0.560787, Time  0.252589
2021-09-11 03:52:03.147028 : Epoch  3, Batch   2089, Loss  0.853539, Average Loss  0.870404, Time  0.173025
2021-09-11 03:52:03.907128 : Epoch  1, Batch   1611, Loss  0.873481, Average Loss  0.874352, Time  0.243565
2021-09-11 03:52:04.502243 : Epoch  5, Batch    714, Loss  0.565246, Average Loss  0.560764, Time  0.235811
2021-09-11 03:52:04.788032 : Epoch  3, Batch   2090, Loss  0.890638, Average Loss  0.870459, Time  0.182446
2021-09-11 03:52:06.010067 : Epoch  5, Batch    715, Loss  0.572127, Average Loss  0.560895, Time  0.231794
2021-09-11 03:52:06.416755 : Epoch  3, Batch   2091, Loss  0.860632, Average Loss  0.870361, Time  0.171240
2021-09-11 03:52:06.521737 : Epoch  1, Batch   1612, Loss  0.854861, Average Loss  0.874171, Time  0.246362
2021-09-11 03:52:07.514093 : Epoch  5, Batch    716, Loss  0.567401, Average Loss  0.560943, Time  0.232342
2021-09-11 03:52:08.012252 : Epoch  3, Batch   2092, Loss  0.847635, Average Loss  0.870270, Time  0.169997
2021-09-11 03:52:09.180950 : Epoch  5, Batch    717, Loss  0.555999, Average Loss  0.561029, Time  0.379679
2021-09-11 03:52:09.273906 : Epoch  1, Batch   1613, Loss  0.875158, Average Loss  0.874069, Time  0.346834
2021-09-11 03:52:09.645853 : Epoch  3, Batch   2093, Loss  0.905263, Average Loss  0.870408, Time  0.178089
2021-09-11 03:52:10.703001 : Epoch  5, Batch    718, Loss  0.566423, Average Loss  0.561039, Time  0.232457
2021-09-11 03:52:11.267039 : Epoch  3, Batch   2094, Loss  0.843167, Average Loss  0.870240, Time  0.180888
2021-09-11 03:52:11.902072 : Epoch  1, Batch   1614, Loss  0.877221, Average Loss  0.874182, Time  0.243904
2021-09-11 03:52:12.369865 : Epoch  5, Batch    719, Loss  0.546313, Average Loss  0.561002, Time  0.232913
2021-09-11 03:52:12.879030 : Epoch  3, Batch   2095, Loss  0.868029, Average Loss  0.870327, Time  0.169806
2021-09-11 03:52:13.876822 : Epoch  5, Batch    720, Loss  0.565549, Average Loss  0.561030, Time  0.231816
2021-09-11 03:52:14.491032 : Epoch  3, Batch   2096, Loss  0.872945, Average Loss  0.870489, Time  0.170487
2021-09-11 03:52:14.519832 : Epoch  1, Batch   1615, Loss  0.873453, Average Loss  0.874207, Time  0.239903
2021-09-11 03:52:15.402174 : Epoch  5, Batch    721, Loss  0.559746, Average Loss  0.560988, Time  0.232396
2021-09-11 03:52:16.102738 : Epoch  3, Batch   2097, Loss  0.861167, Average Loss  0.870415, Time  0.169818
2021-09-11 03:52:16.906348 : Epoch  5, Batch    722, Loss  0.567555, Average Loss  0.561094, Time  0.232028
2021-09-11 03:52:17.159980 : Epoch  1, Batch   1616, Loss  0.877318, Average Loss  0.874211, Time  0.248505
2021-09-11 03:52:17.727762 : Epoch  3, Batch   2098, Loss  0.893437, Average Loss  0.870506, Time  0.170717
2021-09-11 03:52:19.348037 : Epoch  3, Batch   2099, Loss  0.839086, Average Loss  0.870260, Time  0.172622
2021-09-11 03:52:19.786802 : Epoch  1, Batch   1617, Loss  0.860594, Average Loss  0.874203, Time  0.242453
2021-09-11 03:52:20.751293 : Epoch  5, Batch    723, Loss  0.561515, Average Loss  0.561089, Time  0.235483
2021-09-11 03:52:20.960040 : Epoch  3, Batch   2100, Loss  0.875687, Average Loss  0.870244, Time  0.170013
2021-09-11 03:52:22.455071 : Epoch  5, Batch    724, Loss  0.560507, Average Loss  0.560991, Time  0.391344
2021-09-11 03:52:22.508991 : Epoch  1, Batch   1618, Loss  0.885103, Average Loss  0.874358, Time  0.339658
2021-09-11 03:52:22.584867 : Epoch  3, Batch   2101, Loss  0.865089, Average Loss  0.870164, Time  0.170080
2021-09-11 03:52:23.957187 : Epoch  5, Batch    725, Loss  0.556100, Average Loss  0.560979, Time  0.231891
2021-09-11 03:52:24.230793 : Epoch  3, Batch   2102, Loss  0.872620, Average Loss  0.870195, Time  0.175794
2021-09-11 03:52:25.139162 : Epoch  1, Batch   1619, Loss  0.885968, Average Loss  0.874396, Time  0.240592
2021-09-11 03:52:25.479772 : Epoch  5, Batch    726, Loss  0.545041, Average Loss  0.560948, Time  0.231950
2021-09-11 03:52:25.868025 : Epoch  3, Batch   2103, Loss  0.879103, Average Loss  0.870330, Time  0.174263
2021-09-11 03:52:27.004323 : Epoch  5, Batch    727, Loss  0.551522, Average Loss  0.560837, Time  0.232512
2021-09-11 03:52:27.499810 : Epoch  3, Batch   2104, Loss  0.921699, Average Loss  0.870481, Time  0.176235
2021-09-11 03:52:27.773600 : Epoch  1, Batch   1620, Loss  0.861104, Average Loss  0.874286, Time  0.240867
2021-09-11 03:52:28.522894 : Epoch  5, Batch    728, Loss  0.565038, Average Loss  0.560916, Time  0.232932
2021-09-11 03:52:29.124034 : Epoch  3, Batch   2105, Loss  0.852082, Average Loss  0.870506, Time  0.173019
2021-09-11 03:52:30.034116 : Epoch  5, Batch    729, Loss  0.554342, Average Loss  0.560908, Time  0.231983
2021-09-11 03:52:30.436679 : Epoch  1, Batch   1621, Loss  0.875105, Average Loss  0.874254, Time  0.245618
2021-09-11 03:52:30.766030 : Epoch  3, Batch   2106, Loss  0.867367, Average Loss  0.870614, Time  0.172521
2021-09-11 03:52:31.540022 : Epoch  5, Batch    730, Loss  0.549918, Average Loss  0.560860, Time  0.232080
2021-09-11 03:52:32.380035 : Epoch  3, Batch   2107, Loss  0.862028, Average Loss  0.870441, Time  0.173905
2021-09-11 03:52:33.279866 : Epoch  5, Batch    731, Loss  0.543744, Average Loss  0.560832, Time  0.442663
2021-09-11 03:52:33.324851 : Epoch  1, Batch   1622, Loss  0.876853, Average Loss  0.874285, Time  0.418620
2021-09-11 03:52:34.015068 : Epoch  3, Batch   2108, Loss  0.894505, Average Loss  0.870547, Time  0.178587
2021-09-11 03:52:34.957259 : Epoch  5, Batch    732, Loss  0.540071, Average Loss  0.560788, Time  0.251331
2021-09-11 03:52:35.624755 : Epoch  3, Batch   2109, Loss  0.893511, Average Loss  0.870553, Time  0.170196
2021-09-11 03:52:35.990580 : Epoch  1, Batch   1623, Loss  0.853421, Average Loss  0.874258, Time  0.242389
2021-09-11 03:52:36.629046 : Epoch  5, Batch    733, Loss  0.546748, Average Loss  0.560772, Time  0.254519
2021-09-11 03:52:37.306852 : Epoch  3, Batch   2110, Loss  0.884256, Average Loss  0.870574, Time  0.176331
2021-09-11 03:52:38.321943 : Epoch  5, Batch    734, Loss  0.547670, Average Loss  0.560686, Time  0.252527
2021-09-11 03:52:38.630140 : Epoch  1, Batch   1624, Loss  0.858208, Average Loss  0.874131, Time  0.240307
2021-09-11 03:52:38.912202 : Epoch  3, Batch   2111, Loss  0.866533, Average Loss  0.870609, Time  0.171574
2021-09-11 03:52:39.990223 : Epoch  5, Batch    735, Loss  0.569959, Average Loss  0.560726, Time  0.251436
2021-09-11 03:52:40.533764 : Epoch  3, Batch   2112, Loss  0.866489, Average Loss  0.870598, Time  0.176164
2021-09-11 03:52:41.277045 : Epoch  1, Batch   1625, Loss  0.854276, Average Loss  0.874191, Time  0.246064
2021-09-11 03:52:41.524252 : Epoch  5, Batch    736, Loss  0.559751, Average Loss  0.560792, Time  0.234070
2021-09-11 03:52:42.187023 : Epoch  3, Batch   2113, Loss  0.871710, Average Loss  0.870555, Time  0.175421
2021-09-11 03:52:43.047346 : Epoch  5, Batch    737, Loss  0.548961, Average Loss  0.560805, Time  0.232501
2021-09-11 03:52:43.820808 : Epoch  3, Batch   2114, Loss  0.871985, Average Loss  0.870608, Time  0.172185
2021-09-11 03:52:43.932809 : Epoch  1, Batch   1626, Loss  0.889428, Average Loss  0.874242, Time  0.244980
2021-09-11 03:52:44.548823 : Epoch  5, Batch    738, Loss  0.557890, Average Loss  0.560781, Time  0.233103
2021-09-11 03:52:45.476835 : Epoch  3, Batch   2115, Loss  0.870405, Average Loss  0.870599, Time  0.172481
2021-09-11 03:52:46.224005 : Epoch  5, Batch    739, Loss  0.547267, Average Loss  0.560832, Time  0.252671
2021-09-11 03:52:46.560413 : Epoch  1, Batch   1627, Loss  0.881841, Average Loss  0.874235, Time  0.243295
2021-09-11 03:52:47.109037 : Epoch  3, Batch   2116, Loss  0.873373, Average Loss  0.870615, Time  0.172095
2021-09-11 03:52:47.745163 : Epoch  5, Batch    740, Loss  0.557005, Average Loss  0.560817, Time  0.232886
2021-09-11 03:52:48.708081 : Epoch  3, Batch   2117, Loss  0.887976, Average Loss  0.870746, Time  0.169747
2021-09-11 03:52:49.360167 : Epoch  1, Batch   1628, Loss  0.892385, Average Loss  0.874404, Time  0.414753
2021-09-11 03:52:49.405017 : Epoch  5, Batch    741, Loss  0.560403, Average Loss  0.560825, Time  0.351013
2021-09-11 03:52:50.308879 : Epoch  3, Batch   2118, Loss  0.835750, Average Loss  0.870568, Time  0.169927
2021-09-11 03:52:50.914256 : Epoch  5, Batch    742, Loss  0.559632, Average Loss  0.560790, Time  0.232037
2021-09-11 03:52:51.922046 : Epoch  3, Batch   2119, Loss  0.855734, Average Loss  0.870487, Time  0.169925
2021-09-11 03:52:52.016956 : Epoch  1, Batch   1629, Loss  0.853819, Average Loss  0.874306, Time  0.241168
2021-09-11 03:52:52.580151 : Epoch  5, Batch    743, Loss  0.559923, Average Loss  0.560722, Time  0.251940
2021-09-11 03:52:53.538812 : Epoch  3, Batch   2120, Loss  0.864695, Average Loss  0.870378, Time  0.169989
2021-09-11 03:52:54.259418 : Epoch  5, Batch    744, Loss  0.564590, Average Loss  0.560798, Time  0.251451
2021-09-11 03:52:54.640887 : Epoch  1, Batch   1630, Loss  0.873881, Average Loss  0.874350, Time  0.242122
2021-09-11 03:52:55.135824 : Epoch  3, Batch   2121, Loss  0.863008, Average Loss  0.870325, Time  0.178636
2021-09-11 03:52:55.932425 : Epoch  5, Batch    745, Loss  0.558927, Average Loss  0.560755, Time  0.254592
2021-09-11 03:52:56.754083 : Epoch  3, Batch   2122, Loss  0.878658, Average Loss  0.870394, Time  0.170175
2021-09-11 03:52:57.272323 : Epoch  1, Batch   1631, Loss  0.879490, Average Loss  0.874333, Time  0.242396
2021-09-11 03:52:57.611817 : Epoch  5, Batch    746, Loss  0.548983, Average Loss  0.560734, Time  0.251154
2021-09-11 03:52:58.393739 : Epoch  3, Batch   2123, Loss  0.863532, Average Loss  0.870407, Time  0.173151
2021-09-11 03:52:59.202758 : Epoch  5, Batch    747, Loss  0.558744, Average Loss  0.560703, Time  0.251548
2021-09-11 03:52:59.911331 : Epoch  1, Batch   1632, Loss  0.883410, Average Loss  0.874337, Time  0.240037
2021-09-11 03:53:00.003885 : Epoch  3, Batch   2124, Loss  0.872108, Average Loss  0.870437, Time  0.174165
2021-09-11 03:53:00.753879 : Epoch  5, Batch    748, Loss  0.569631, Average Loss  0.560682, Time  0.232060
2021-09-11 03:53:01.640030 : Epoch  3, Batch   2125, Loss  0.889044, Average Loss  0.870387, Time  0.173234
2021-09-11 03:53:02.722975 : Epoch  5, Batch    749, Loss  0.572020, Average Loss  0.560808, Time  0.449981
2021-09-11 03:53:02.768864 : Epoch  1, Batch   1633, Loss  0.876216, Average Loss  0.874395, Time  0.423846
2021-09-11 03:53:03.247914 : Epoch  3, Batch   2126, Loss  0.880328, Average Loss  0.870443, Time  0.179002
2021-09-11 03:53:04.245781 : Epoch  5, Batch    750, Loss  0.565904, Average Loss  0.560788, Time  0.231997
2021-09-11 03:53:04.888752 : Epoch  3, Batch   2127, Loss  0.883166, Average Loss  0.870493, Time  0.176296
2021-09-11 03:53:05.412363 : Epoch  1, Batch   1634, Loss  0.868038, Average Loss  0.874293, Time  0.242560
2021-09-11 03:53:05.761993 : Epoch  5, Batch    751, Loss  0.569254, Average Loss  0.560855, Time  0.234864
2021-09-11 03:53:06.552817 : Epoch  3, Batch   2128, Loss  0.867468, Average Loss  0.870568, Time  0.184073
2021-09-11 03:53:07.272272 : Epoch  5, Batch    752, Loss  0.567521, Average Loss  0.560898, Time  0.232206
2021-09-11 03:53:08.099491 : Epoch  1, Batch   1635, Loss  0.850461, Average Loss  0.874053, Time  0.278664
2021-09-11 03:53:08.193025 : Epoch  3, Batch   2129, Loss  0.888642, Average Loss  0.870517, Time  0.170361
2021-09-11 03:53:09.837797 : Epoch  3, Batch   2130, Loss  0.891056, Average Loss  0.870645, Time  0.169955
2021-09-11 03:53:10.725804 : Epoch  1, Batch   1636, Loss  0.875847, Average Loss  0.873968, Time  0.241779
2021-09-11 03:53:11.446033 : Epoch  3, Batch   2131, Loss  0.853222, Average Loss  0.870589, Time  0.170050
2021-09-11 03:53:13.050308 : Epoch  3, Batch   2132, Loss  0.898296, Average Loss  0.870732, Time  0.170361
2021-09-11 03:53:13.378046 : Epoch  1, Batch   1637, Loss  0.863138, Average Loss  0.873914, Time  0.244519
2021-09-11 03:53:14.673027 : Epoch  3, Batch   2133, Loss  0.883259, Average Loss  0.870601, Time  0.175779
2021-09-11 03:53:16.006160 : Epoch  1, Batch   1638, Loss  0.860701, Average Loss  0.873858, Time  0.241847
2021-09-11 03:53:16.291028 : Epoch  3, Batch   2134, Loss  0.881048, Average Loss  0.870693, Time  0.172753
2021-09-11 03:53:17.906812 : Epoch  3, Batch   2135, Loss  0.890947, Average Loss  0.870889, Time  0.172236
2021-09-11 03:53:18.641965 : Epoch  1, Batch   1639, Loss  0.869716, Average Loss  0.873818, Time  0.245359
2021-09-11 03:53:19.536026 : Epoch  3, Batch   2136, Loss  0.894856, Average Loss  0.871027, Time  0.172907
2021-09-11 03:53:21.129986 : Epoch  3, Batch   2137, Loss  0.871106, Average Loss  0.870946, Time  0.172083
2021-09-11 03:53:21.264115 : Epoch  1, Batch   1640, Loss  0.878201, Average Loss  0.873871, Time  0.241236
2021-09-11 03:53:22.737032 : Epoch  3, Batch   2138, Loss  0.872811, Average Loss  0.870926, Time  0.169742
2021-09-11 03:53:23.901449 : Epoch  1, Batch   1641, Loss  0.855715, Average Loss  0.873738, Time  0.242949
2021-09-11 03:53:24.338298 : Epoch  3, Batch   2139, Loss  0.844159, Average Loss  0.870696, Time  0.175842
2021-09-11 03:53:25.922812 : Epoch  3, Batch   2140, Loss  0.869487, Average Loss  0.870533, Time  0.170058
2021-09-11 03:53:26.535333 : Epoch  1, Batch   1642, Loss  0.879570, Average Loss  0.873762, Time  0.245747
2021-09-11 03:53:27.551753 : Epoch  3, Batch   2141, Loss  0.890066, Average Loss  0.870520, Time  0.169692
2021-09-11 03:53:29.185020 : Epoch  3, Batch   2142, Loss  0.861016, Average Loss  0.870656, Time  0.169748
2021-09-11 03:53:29.263876 : Epoch  1, Batch   1643, Loss  0.861751, Average Loss  0.873706, Time  0.324530
2021-09-11 03:53:30.806034 : Epoch  3, Batch   2143, Loss  0.846798, Average Loss  0.870545, Time  0.172763
2021-09-11 03:53:32.004315 : Epoch  1, Batch   1644, Loss  0.868621, Average Loss  0.873652, Time  0.326346
2021-09-11 03:53:32.417768 : Epoch  3, Batch   2144, Loss  0.868302, Average Loss  0.870378, Time  0.175496
2021-09-11 03:53:34.045040 : Epoch  3, Batch   2145, Loss  0.866446, Average Loss  0.870335, Time  0.177769
2021-09-11 03:53:34.712916 : Epoch  1, Batch   1645, Loss  0.867455, Average Loss  0.873586, Time  0.310958
2021-09-11 03:53:35.650928 : Epoch  3, Batch   2146, Loss  0.862611, Average Loss  0.870155, Time  0.171462
2021-09-11 03:53:37.266029 : Epoch  3, Batch   2147, Loss  0.848095, Average Loss  0.869942, Time  0.173426
2021-09-11 03:53:37.366861 : Epoch  1, Batch   1646, Loss  0.864847, Average Loss  0.873628, Time  0.240443
2021-09-11 03:53:38.877847 : Epoch  3, Batch   2148, Loss  0.905562, Average Loss  0.870100, Time  0.170201
2021-09-11 03:53:40.007496 : Epoch  1, Batch   1647, Loss  0.875866, Average Loss  0.873701, Time  0.245033
2021-09-11 03:53:40.519671 : Epoch  3, Batch   2149, Loss  0.843559, Average Loss  0.869881, Time  0.175853
2021-09-11 03:53:42.154823 : Epoch  3, Batch   2150, Loss  0.857223, Average Loss  0.869753, Time  0.171906
2021-09-11 03:53:42.635797 : Epoch  1, Batch   1648, Loss  0.860255, Average Loss  0.873575, Time  0.240043
2021-09-11 03:53:43.778765 : Epoch  3, Batch   2151, Loss  0.865804, Average Loss  0.869541, Time  0.176371
2021-09-11 03:53:45.254096 : Epoch  1, Batch   1649, Loss  0.862017, Average Loss  0.873477, Time  0.241658
2021-09-11 03:53:45.420746 : Epoch  3, Batch   2152, Loss  0.849663, Average Loss  0.869356, Time  0.194376
2021-09-11 03:53:47.059026 : Epoch  3, Batch   2153, Loss  0.865031, Average Loss  0.869276, Time  0.171409
2021-09-11 03:53:47.888420 : Epoch  1, Batch   1650, Loss  0.863789, Average Loss  0.873392, Time  0.245736
2021-09-11 03:53:48.646911 : Epoch  3, Batch   2154, Loss  0.857225, Average Loss  0.869229, Time  0.173049
2021-09-11 03:53:50.238815 : Epoch  3, Batch   2155, Loss  0.854282, Average Loss  0.869182, Time  0.169809
2021-09-11 03:53:50.535907 : Epoch  1, Batch   1651, Loss  0.869040, Average Loss  0.873333, Time  0.243476
2021-09-11 03:53:51.842779 : Epoch  3, Batch   2156, Loss  0.855537, Average Loss  0.869185, Time  0.169740
2021-09-11 03:53:53.173455 : Epoch  1, Batch   1652, Loss  0.881765, Average Loss  0.873291, Time  0.256880
2021-09-11 03:53:53.480890 : Epoch  3, Batch   2157, Loss  0.869020, Average Loss  0.869144, Time  0.183576
2021-09-11 03:53:55.075046 : Epoch  3, Batch   2158, Loss  0.866823, Average Loss  0.869208, Time  0.170280
2021-09-11 03:53:55.886831 : Epoch  1, Batch   1653, Loss  0.869799, Average Loss  0.873244, Time  0.258426
2021-09-11 03:53:56.736874 : Epoch  3, Batch   2159, Loss  0.900820, Average Loss  0.869344, Time  0.182398
2021-09-11 03:53:58.354803 : Epoch  3, Batch   2160, Loss  0.841230, Average Loss  0.869157, Time  0.169998
2021-09-11 03:53:58.613070 : Epoch  1, Batch   1654, Loss  0.879477, Average Loss  0.873218, Time  0.244016
2021-09-11 03:53:59.985779 : Epoch  3, Batch   2161, Loss  0.854294, Average Loss  0.868829, Time  0.169966
2021-09-11 03:54:01.251148 : Epoch  1, Batch   1655, Loss  0.862000, Average Loss  0.873141, Time  0.240594
2021-09-11 03:54:01.603744 : Epoch  3, Batch   2162, Loss  0.864676, Average Loss  0.868831, Time  0.178053
2021-09-11 03:54:03.239848 : Epoch  3, Batch   2163, Loss  0.865622, Average Loss  0.868823, Time  0.170297
2021-09-11 03:54:03.602755 : CheckPoint: Validation Loss  0.00023414, Best Loss  0.00022844
2021-09-11 03:54:04.003907 : Epoch  1, Batch   1656, Loss  0.889530, Average Loss  0.873176, Time  0.256500
2021-09-11 03:54:04.879825 : Epoch  3, Batch   2164, Loss  0.882063, Average Loss  0.869027, Time  0.189452
2021-09-11 03:54:05.137260 : Epoch  5, Batch    753, Loss  0.550637, Average Loss  0.560794, Time  0.233648
2021-09-11 03:54:06.532916 : Epoch  3, Batch   2165, Loss  0.898740, Average Loss  0.869203, Time  0.187824
2021-09-11 03:54:06.846066 : Epoch  1, Batch   1657, Loss  0.865613, Average Loss  0.873062, Time  0.453459
2021-09-11 03:54:06.887119 : Epoch  5, Batch    754, Loss  0.565962, Average Loss  0.560841, Time  0.415281
2021-09-11 03:54:08.156043 : Epoch  3, Batch   2166, Loss  0.815794, Average Loss  0.869066, Time  0.174213
2021-09-11 03:54:08.409985 : Epoch  5, Batch    755, Loss  0.541019, Average Loss  0.560749, Time  0.232336
2021-09-11 03:54:09.483000 : Epoch  1, Batch   1658, Loss  0.864215, Average Loss  0.873074, Time  0.243557
2021-09-11 03:54:09.783882 : Epoch  3, Batch   2167, Loss  0.878066, Average Loss  0.868933, Time  0.177562
2021-09-11 03:54:09.943720 : Epoch  5, Batch    756, Loss  0.559163, Average Loss  0.560775, Time  0.234030
2021-09-11 03:54:11.404950 : Epoch  3, Batch   2168, Loss  0.886563, Average Loss  0.869043, Time  0.176159
2021-09-11 03:54:11.498443 : Epoch  5, Batch    757, Loss  0.559189, Average Loss  0.560787, Time  0.234369
2021-09-11 03:54:12.163910 : Epoch  1, Batch   1659, Loss  0.857208, Average Loss  0.872969, Time  0.263848
2021-09-11 03:54:13.010064 : Epoch  3, Batch   2169, Loss  0.866674, Average Loss  0.869096, Time  0.171874
2021-09-11 03:54:13.062324 : Epoch  5, Batch    758, Loss  0.542840, Average Loss  0.560658, Time  0.232515
2021-09-11 03:54:14.629755 : Epoch  3, Batch   2170, Loss  0.884597, Average Loss  0.869161, Time  0.173350
2021-09-11 03:54:14.938870 : Epoch  5, Batch    759, Loss  0.565970, Average Loss  0.560769, Time  0.438613
2021-09-11 03:54:14.979438 : Epoch  1, Batch   1660, Loss  0.877328, Average Loss  0.872986, Time  0.408313
2021-09-11 03:54:16.241822 : Epoch  3, Batch   2171, Loss  0.861425, Average Loss  0.869132, Time  0.173462
2021-09-11 03:54:16.512947 : Epoch  5, Batch    760, Loss  0.546784, Average Loss  0.560660, Time  0.234082
2021-09-11 03:54:17.653367 : Epoch  1, Batch   1661, Loss  0.874038, Average Loss  0.873064, Time  0.267736
2021-09-11 03:54:17.873792 : Epoch  3, Batch   2172, Loss  0.879568, Average Loss  0.869100, Time  0.176508
2021-09-11 03:54:18.087839 : Epoch  5, Batch    761, Loss  0.554323, Average Loss  0.560658, Time  0.233217
2021-09-11 03:54:19.485036 : Epoch  3, Batch   2173, Loss  0.880486, Average Loss  0.869177, Time  0.174049
2021-09-11 03:54:19.613475 : Epoch  5, Batch    762, Loss  0.531132, Average Loss  0.560546, Time  0.232473
2021-09-11 03:54:20.312945 : Epoch  1, Batch   1662, Loss  0.870031, Average Loss  0.873067, Time  0.244673
2021-09-11 03:54:21.083861 : Epoch  3, Batch   2174, Loss  0.870769, Average Loss  0.869277, Time  0.170613
2021-09-11 03:54:21.135231 : Epoch  5, Batch    763, Loss  0.553718, Average Loss  0.560519, Time  0.231703
2021-09-11 03:54:22.632268 : Epoch  5, Batch    764, Loss  0.538680, Average Loss  0.560383, Time  0.232296
2021-09-11 03:54:22.698865 : Epoch  3, Batch   2175, Loss  0.873380, Average Loss  0.869290, Time  0.173319
2021-09-11 03:54:22.977401 : Epoch  1, Batch   1663, Loss  0.869492, Average Loss  0.873212, Time  0.244189
2021-09-11 03:54:24.147174 : Epoch  5, Batch    765, Loss  0.549071, Average Loss  0.560331, Time  0.231714
2021-09-11 03:54:24.312842 : Epoch  3, Batch   2176, Loss  0.851310, Average Loss  0.869055, Time  0.184663
2021-09-11 03:54:25.819779 : Epoch  1, Batch   1664, Loss  0.851609, Average Loss  0.873099, Time  0.446453
2021-09-11 03:54:25.861769 : Epoch  5, Batch    766, Loss  0.557501, Average Loss  0.560375, Time  0.399807
2021-09-11 03:54:25.945783 : Epoch  3, Batch   2177, Loss  0.869148, Average Loss  0.869054, Time  0.170526
2021-09-11 03:54:27.402310 : Epoch  5, Batch    767, Loss  0.547553, Average Loss  0.560263, Time  0.232979
2021-09-11 03:54:27.564037 : Epoch  3, Batch   2178, Loss  0.877749, Average Loss  0.869061, Time  0.170087
2021-09-11 03:54:28.453123 : Epoch  1, Batch   1665, Loss  0.855412, Average Loss  0.873030, Time  0.245208
2021-09-11 03:54:28.919128 : Epoch  5, Batch    768, Loss  0.556843, Average Loss  0.560251, Time  0.232064
2021-09-11 03:54:30.445794 : Epoch  5, Batch    769, Loss  0.557698, Average Loss  0.560203, Time  0.232721
2021-09-11 03:54:31.082228 : Epoch  1, Batch   1666, Loss  0.879894, Average Loss  0.873115, Time  0.241731
2021-09-11 03:54:31.967416 : Epoch  5, Batch    770, Loss  0.549693, Average Loss  0.560203, Time  0.232606
2021-09-11 03:54:33.485824 : Epoch  5, Batch    771, Loss  0.562359, Average Loss  0.560227, Time  0.231848
2021-09-11 03:54:33.712004 : Epoch  1, Batch   1667, Loss  0.890763, Average Loss  0.873199, Time  0.247092
2021-09-11 03:54:35.168801 : Epoch  5, Batch    772, Loss  0.549106, Average Loss  0.560179, Time  0.251780
2021-09-11 03:54:36.362460 : Epoch  1, Batch   1668, Loss  0.875447, Average Loss  0.873195, Time  0.242871
2021-09-11 03:54:36.844076 : Epoch  5, Batch    773, Loss  0.563334, Average Loss  0.560157, Time  0.255288
2021-09-11 03:54:38.525901 : Epoch  5, Batch    774, Loss  0.565993, Average Loss  0.560229, Time  0.251227
2021-09-11 03:54:38.998180 : Epoch  1, Batch   1669, Loss  0.869007, Average Loss  0.873159, Time  0.240663
2021-09-11 03:54:40.206455 : Epoch  5, Batch    775, Loss  0.559182, Average Loss  0.560263, Time  0.251439
2021-09-11 03:54:41.624196 : Epoch  1, Batch   1670, Loss  0.853938, Average Loss  0.873121, Time  0.241047
2021-09-11 03:54:41.897883 : Epoch  5, Batch    776, Loss  0.563270, Average Loss  0.560351, Time  0.253077
2021-09-11 03:54:43.580803 : Epoch  5, Batch    777, Loss  0.545857, Average Loss  0.560289, Time  0.251521
2021-09-11 03:54:44.249975 : Epoch  1, Batch   1671, Loss  0.871715, Average Loss  0.873103, Time  0.244579
2021-09-11 03:54:45.098241 : Epoch  5, Batch    778, Loss  0.559241, Average Loss  0.560317, Time  0.231707
2021-09-11 03:54:46.931136 : Epoch  5, Batch    779, Loss  0.558384, Average Loss  0.560346, Time  0.414173
2021-09-11 03:54:46.981416 : Epoch  1, Batch   1672, Loss  0.849170, Average Loss  0.872972, Time  0.344987
2021-09-11 03:54:48.464818 : Epoch  5, Batch    780, Loss  0.576192, Average Loss  0.560444, Time  0.232206
2021-09-11 03:54:49.614829 : Epoch  1, Batch   1673, Loss  0.847557, Average Loss  0.873039, Time  0.246539
2021-09-11 03:54:49.978210 : Epoch  5, Batch    781, Loss  0.558849, Average Loss  0.560407, Time  0.232270
2021-09-11 03:54:51.508399 : Epoch  5, Batch    782, Loss  0.565821, Average Loss  0.560467, Time  0.233550
2021-09-11 03:54:52.338794 : Epoch  1, Batch   1674, Loss  0.897615, Average Loss  0.873158, Time  0.267161
2021-09-11 03:54:53.032248 : Epoch  5, Batch    783, Loss  0.562174, Average Loss  0.560477, Time  0.231705
2021-09-11 03:54:54.559797 : Epoch  5, Batch    784, Loss  0.554889, Average Loss  0.560481, Time  0.231902
2021-09-11 03:54:55.093039 : Epoch  1, Batch   1675, Loss  0.866391, Average Loss  0.873120, Time  0.266877
2021-09-11 03:54:56.080304 : Epoch  5, Batch    785, Loss  0.563016, Average Loss  0.560480, Time  0.232654
2021-09-11 03:54:57.665453 : Epoch  5, Batch    786, Loss  0.562002, Average Loss  0.560580, Time  0.296602
2021-09-11 03:54:57.848218 : Epoch  1, Batch   1676, Loss  0.895247, Average Loss  0.873245, Time  0.286378
2021-09-11 03:54:59.176844 : Epoch  5, Batch    787, Loss  0.573216, Average Loss  0.560638, Time  0.231945
2021-09-11 03:54:59.225571 : Saving Model after 5-th Epoch.
2021-09-11 03:55:00.221656 : Epoch Finished.
2021-09-11 03:55:00.472316 : Epoch  1, Batch   1677, Loss  0.878959, Average Loss  0.873244, Time  0.237494
2021-09-11 03:55:02.875742 : Batch Shuffled
2021-09-11 03:55:03.186925 : Epoch  1, Batch   1678, Loss  0.839610, Average Loss  0.873019, Time  0.309527
2021-09-11 03:55:04.397653 : Epoch  6, Batch      1, Loss  0.554212, Average Loss  0.560671, Time  0.233842
2021-09-11 03:55:06.039054 : Epoch  1, Batch   1679, Loss  0.850335, Average Loss  0.872886, Time  0.456001
2021-09-11 03:55:06.080866 : Epoch  6, Batch      2, Loss  0.552453, Average Loss  0.560673, Time  0.371870
2021-09-11 03:55:07.643311 : Epoch  6, Batch      3, Loss  0.546440, Average Loss  0.560547, Time  0.231788
2021-09-11 03:55:08.712433 : Epoch  1, Batch   1680, Loss  0.868159, Average Loss  0.872890, Time  0.243194
2021-09-11 03:55:09.176411 : Epoch  6, Batch      4, Loss  0.555637, Average Loss  0.560505, Time  0.233062
2021-09-11 03:55:10.717862 : Epoch  6, Batch      5, Loss  0.544884, Average Loss  0.560401, Time  0.232872
2021-09-11 03:55:11.345147 : Epoch  1, Batch   1681, Loss  0.873567, Average Loss  0.872896, Time  0.240548
2021-09-11 03:55:12.228785 : Epoch  6, Batch      6, Loss  0.556362, Average Loss  0.560458, Time  0.233360
2021-09-11 03:55:13.745801 : Epoch  6, Batch      7, Loss  0.563050, Average Loss  0.560438, Time  0.232055
2021-09-11 03:55:14.077937 : Epoch  1, Batch   1682, Loss  0.871532, Average Loss  0.872944, Time  0.276804
2021-09-11 03:55:15.274812 : Epoch  6, Batch      8, Loss  0.545619, Average Loss  0.560375, Time  0.232146
2021-09-11 03:55:16.930834 : Epoch  1, Batch   1683, Loss  0.880844, Average Loss  0.872905, Time  0.443236
2021-09-11 03:55:16.982082 : Epoch  6, Batch      9, Loss  0.543483, Average Loss  0.560309, Time  0.377879
2021-09-11 03:55:18.490255 : Epoch  6, Batch     10, Loss  0.558266, Average Loss  0.560339, Time  0.232130
2021-09-11 03:55:19.558967 : Epoch  1, Batch   1684, Loss  0.875256, Average Loss  0.872900, Time  0.241691
2021-09-11 03:55:20.100381 : Epoch  6, Batch     11, Loss  0.561018, Average Loss  0.560397, Time  0.233227
2021-09-11 03:55:21.636058 : Epoch  6, Batch     12, Loss  0.561577, Average Loss  0.560392, Time  0.236429
2021-09-11 03:55:22.201915 : Epoch  1, Batch   1685, Loss  0.863605, Average Loss  0.872845, Time  0.242332
2021-09-11 03:55:23.155245 : Epoch  6, Batch     13, Loss  0.560307, Average Loss  0.560365, Time  0.232692
2021-09-11 03:55:24.955867 : Epoch  6, Batch     14, Loss  0.548725, Average Loss  0.560372, Time  0.440655
2021-09-11 03:55:25.005168 : Epoch  1, Batch   1686, Loss  0.856690, Average Loss  0.872680, Time  0.383838
2021-09-11 03:55:26.587120 : Epoch  6, Batch     15, Loss  0.558567, Average Loss  0.560397, Time  0.233220
2021-09-11 03:55:27.644475 : Epoch  1, Batch   1687, Loss  0.867997, Average Loss  0.872594, Time  0.244578
2021-09-11 03:55:28.123192 : Epoch  6, Batch     16, Loss  0.555103, Average Loss  0.560317, Time  0.233184
2021-09-11 03:55:29.664887 : Epoch  6, Batch     17, Loss  0.556759, Average Loss  0.560337, Time  0.232785
2021-09-11 03:55:30.318945 : Epoch  1, Batch   1688, Loss  0.874183, Average Loss  0.872596, Time  0.244320
2021-09-11 03:55:31.225796 : Epoch  6, Batch     18, Loss  0.553362, Average Loss  0.560286, Time  0.233058
2021-09-11 03:55:32.735327 : Epoch  6, Batch     19, Loss  0.546934, Average Loss  0.560255, Time  0.233575
2021-09-11 03:55:32.960899 : Epoch  1, Batch   1689, Loss  0.875418, Average Loss  0.872508, Time  0.248750
2021-09-11 03:55:34.265873 : Epoch  6, Batch     20, Loss  0.553021, Average Loss  0.560248, Time  0.232351
2021-09-11 03:55:35.691842 : Epoch  1, Batch   1690, Loss  0.891126, Average Loss  0.872496, Time  0.329781
2021-09-11 03:55:35.810006 : Epoch  6, Batch     21, Loss  0.535482, Average Loss  0.560151, Time  0.255066
2021-09-11 03:55:37.350330 : Epoch  6, Batch     22, Loss  0.563133, Average Loss  0.560148, Time  0.232831
2021-09-11 03:55:38.317940 : Epoch  1, Batch   1691, Loss  0.871960, Average Loss  0.872566, Time  0.243212
2021-09-11 03:55:38.868036 : Epoch  6, Batch     23, Loss  0.553405, Average Loss  0.560168, Time  0.232135
2021-09-11 03:55:40.386602 : Epoch  6, Batch     24, Loss  0.556839, Average Loss  0.560169, Time  0.232718
2021-09-11 03:55:40.972210 : Epoch  1, Batch   1692, Loss  0.864608, Average Loss  0.872489, Time  0.251835
2021-09-11 03:55:41.902096 : Epoch  6, Batch     25, Loss  0.548025, Average Loss  0.560096, Time  0.232899
2021-09-11 03:55:43.651126 : Epoch  6, Batch     26, Loss  0.557607, Average Loss  0.559971, Time  0.388794
2021-09-11 03:55:43.718326 : Epoch  1, Batch   1693, Loss  0.872136, Average Loss  0.872459, Time  0.334728
2021-09-11 03:55:45.186947 : Epoch  6, Batch     27, Loss  0.554676, Average Loss  0.559880, Time  0.232633
2021-09-11 03:55:46.343105 : Epoch  1, Batch   1694, Loss  0.873364, Average Loss  0.872424, Time  0.245333
2021-09-11 03:55:46.726129 : Epoch  6, Batch     28, Loss  0.547139, Average Loss  0.559832, Time  0.234015
2021-09-11 03:55:48.257242 : Epoch  6, Batch     29, Loss  0.554984, Average Loss  0.559823, Time  0.231860
2021-09-11 03:55:48.972691 : Epoch  1, Batch   1695, Loss  0.872526, Average Loss  0.872397, Time  0.241473
2021-09-11 03:55:49.793338 : Epoch  6, Batch     30, Loss  0.551298, Average Loss  0.559873, Time  0.231973
2021-09-11 03:55:51.366058 : Epoch  6, Batch     31, Loss  0.552299, Average Loss  0.559808, Time  0.232853
2021-09-11 03:55:51.602495 : Epoch  1, Batch   1696, Loss  0.869597, Average Loss  0.872385, Time  0.245167
2021-09-11 03:55:52.893993 : Epoch  6, Batch     32, Loss  0.559371, Average Loss  0.559865, Time  0.233329
2021-09-11 03:55:54.371040 : Epoch  1, Batch   1697, Loss  0.858324, Average Loss  0.872292, Time  0.380043
2021-09-11 03:55:54.449858 : Epoch  6, Batch     33, Loss  0.567977, Average Loss  0.559949, Time  0.256095
2021-09-11 03:55:55.973505 : Epoch  6, Batch     34, Loss  0.552972, Average Loss  0.559930, Time  0.232281
2021-09-11 03:55:57.284921 : Epoch  1, Batch   1698, Loss  0.859586, Average Loss  0.872248, Time  0.239812
2021-09-11 03:55:57.501252 : Epoch  6, Batch     35, Loss  0.550215, Average Loss  0.559895, Time  0.238384
2021-09-11 03:55:59.026716 : Epoch  6, Batch     36, Loss  0.557865, Average Loss  0.559949, Time  0.233169
2021-09-11 03:55:59.952139 : Epoch  1, Batch   1699, Loss  0.844569, Average Loss  0.872117, Time  0.245204
2021-09-11 03:56:00.710275 : Epoch  6, Batch     37, Loss  0.558426, Average Loss  0.559931, Time  0.251586
2021-09-11 03:56:02.381818 : Epoch  6, Batch     38, Loss  0.567062, Average Loss  0.559933, Time  0.251370
2021-09-11 03:56:02.604225 : Epoch  1, Batch   1700, Loss  0.874226, Average Loss  0.872017, Time  0.266339
2021-09-11 03:56:03.910120 : Epoch  6, Batch     39, Loss  0.562713, Average Loss  0.559964, Time  0.232879
2021-09-11 03:56:05.433208 : Epoch  6, Batch     40, Loss  0.580350, Average Loss  0.560058, Time  0.236945
2021-09-11 03:56:06.958914 : Epoch  6, Batch     41, Loss  0.549404, Average Loss  0.560026, Time  0.232343
2021-09-11 03:56:08.493385 : Epoch  6, Batch     42, Loss  0.565789, Average Loss  0.560133, Time  0.232713
2021-09-11 03:56:10.038753 : Epoch  6, Batch     43, Loss  0.551855, Average Loss  0.560055, Time  0.233287
2021-09-11 03:56:11.566867 : Epoch  6, Batch     44, Loss  0.549854, Average Loss  0.559944, Time  0.241552
2021-09-11 03:56:13.093073 : Epoch  6, Batch     45, Loss  0.556636, Average Loss  0.559906, Time  0.235976
2021-09-11 03:56:14.635294 : Epoch  6, Batch     46, Loss  0.553147, Average Loss  0.559921, Time  0.234274
2021-09-11 03:56:16.157085 : Epoch  6, Batch     47, Loss  0.563482, Average Loss  0.559883, Time  0.233442
2021-09-11 03:56:17.760846 : Epoch  6, Batch     48, Loss  0.557182, Average Loss  0.559856, Time  0.312740
2021-09-11 03:56:19.277110 : Epoch  6, Batch     49, Loss  0.552313, Average Loss  0.559821, Time  0.232613
2021-09-11 03:56:20.809347 : Epoch  6, Batch     50, Loss  0.555568, Average Loss  0.559869, Time  0.231955
2021-09-11 03:56:22.323852 : Epoch  6, Batch     51, Loss  0.549164, Average Loss  0.559757, Time  0.231956
2021-09-11 03:56:23.856296 : Epoch  6, Batch     52, Loss  0.550561, Average Loss  0.559734, Time  0.233237
2021-09-11 03:56:25.379350 : Epoch  6, Batch     53, Loss  0.561269, Average Loss  0.559719, Time  0.232517
2021-09-11 03:56:26.909354 : Epoch  6, Batch     54, Loss  0.554289, Average Loss  0.559734, Time  0.232181
2021-09-11 03:56:28.435383 : Epoch  6, Batch     55, Loss  0.539154, Average Loss  0.559702, Time  0.232956
2021-09-11 03:56:30.033097 : Epoch  6, Batch     56, Loss  0.559736, Average Loss  0.559772, Time  0.315356
2021-09-11 03:56:31.549427 : Epoch  6, Batch     57, Loss  0.556294, Average Loss  0.559758, Time  0.232256
2021-09-11 03:56:33.088510 : Epoch  6, Batch     58, Loss  0.554931, Average Loss  0.559697, Time  0.233447
2021-09-11 03:56:34.606288 : Epoch  6, Batch     59, Loss  0.555289, Average Loss  0.559736, Time  0.232219
2021-09-11 03:56:36.128021 : Epoch  6, Batch     60, Loss  0.550139, Average Loss  0.559622, Time  0.232692
2021-09-11 03:56:37.658315 : Epoch  6, Batch     61, Loss  0.555079, Average Loss  0.559616, Time  0.232898
2021-09-11 03:56:39.174405 : Epoch  6, Batch     62, Loss  0.558207, Average Loss  0.559159, Time  0.232038
2021-09-11 03:56:40.694898 : Epoch  6, Batch     63, Loss  0.552244, Average Loss  0.559113, Time  0.233479
2021-09-11 03:56:42.310077 : Epoch  6, Batch     64, Loss  0.567005, Average Loss  0.559113, Time  0.314975
2021-09-11 03:56:46.232422 : Epoch  6, Batch     65, Loss  0.539940, Average Loss  0.558920, Time  0.261886
2021-09-11 03:57:44.650856 : CheckPoint: Validation Loss  0.00023236, Best Loss  0.00022844
2021-09-11 03:57:46.207366 : Epoch  6, Batch     66, Loss  0.558530, Average Loss  0.558810, Time  0.233033
2021-09-11 03:57:47.721026 : Epoch  6, Batch     67, Loss  0.545493, Average Loss  0.558599, Time  0.231706
2021-09-11 03:57:49.244747 : Epoch  6, Batch     68, Loss  0.550796, Average Loss  0.558457, Time  0.232160
2021-09-11 03:57:50.773020 : Epoch  6, Batch     69, Loss  0.550228, Average Loss  0.558301, Time  0.235402
2021-09-11 03:57:52.308383 : Epoch  6, Batch     70, Loss  0.551572, Average Loss  0.558148, Time  0.232865
2021-09-11 03:57:53.826819 : Epoch  6, Batch     71, Loss  0.549430, Average Loss  0.558051, Time  0.232068
2021-09-11 03:57:55.415076 : Epoch  6, Batch     72, Loss  0.556767, Average Loss  0.557984, Time  0.231803
2021-09-11 03:57:56.939373 : Epoch  6, Batch     73, Loss  0.561289, Average Loss  0.557993, Time  0.232471
2021-09-11 03:57:58.446785 : Epoch  6, Batch     74, Loss  0.539367, Average Loss  0.557879, Time  0.232402
2021-09-11 03:57:59.969455 : Epoch  6, Batch     75, Loss  0.555952, Average Loss  0.557837, Time  0.232189
2021-09-11 03:58:01.574558 : Epoch  6, Batch     76, Loss  0.546129, Average Loss  0.557673, Time  0.305420
2021-09-11 03:58:03.250290 : Epoch  6, Batch     77, Loss  0.546174, Average Loss  0.557611, Time  0.251556
2021-09-11 03:58:04.922295 : Epoch  6, Batch     78, Loss  0.567809, Average Loss  0.557614, Time  0.251269
2021-09-11 03:58:06.601857 : Epoch  6, Batch     79, Loss  0.559904, Average Loss  0.557614, Time  0.254096
2021-09-11 03:58:08.167846 : Epoch  6, Batch     80, Loss  0.551061, Average Loss  0.557511, Time  0.232013
2021-09-11 03:58:09.680101 : Epoch  6, Batch     81, Loss  0.552436, Average Loss  0.557466, Time  0.232128
2021-09-11 03:58:11.350997 : Epoch  6, Batch     82, Loss  0.555098, Average Loss  0.557420, Time  0.251872
2021-09-11 03:58:13.003228 : Epoch  6, Batch     83, Loss  0.563626, Average Loss  0.557392, Time  0.251373
2021-09-11 03:58:14.661080 : Epoch  6, Batch     84, Loss  0.551511, Average Loss  0.557339, Time  0.252063
2021-09-11 03:58:16.351889 : Epoch  6, Batch     85, Loss  0.555107, Average Loss  0.557282, Time  0.252331
2021-09-11 03:58:18.019150 : Epoch  6, Batch     86, Loss  0.556630, Average Loss  0.557222, Time  0.251126
2021-09-11 03:58:19.537103 : Epoch  6, Batch     87, Loss  0.551993, Average Loss  0.557123, Time  0.231871
2021-09-11 03:58:21.050878 : Epoch  6, Batch     88, Loss  0.564808, Average Loss  0.557077, Time  0.232240
2021-09-11 03:58:22.560261 : Epoch  6, Batch     89, Loss  0.550523, Average Loss  0.556951, Time  0.231874
2021-09-11 03:58:24.082848 : Epoch  6, Batch     90, Loss  0.562667, Average Loss  0.556916, Time  0.232007
2021-09-11 03:58:25.612949 : Epoch  6, Batch     91, Loss  0.537437, Average Loss  0.556713, Time  0.232954
2021-09-11 03:58:27.140033 : Epoch  6, Batch     92, Loss  0.564122, Average Loss  0.556736, Time  0.232107
2021-09-11 03:58:28.648764 : Epoch  6, Batch     93, Loss  0.544226, Average Loss  0.556632, Time  0.232449
2021-09-11 03:58:30.265954 : Epoch  6, Batch     94, Loss  0.535919, Average Loss  0.556520, Time  0.314996
2021-09-11 03:58:31.790280 : Epoch  6, Batch     95, Loss  0.568962, Average Loss  0.556527, Time  0.231912
2021-09-11 03:58:33.470968 : Epoch  6, Batch     96, Loss  0.558242, Average Loss  0.556503, Time  0.251777
2021-09-11 03:58:35.261473 : Epoch  6, Batch     97, Loss  0.558963, Average Loss  0.556498, Time  0.333403
2021-09-11 03:58:36.794934 : Epoch  6, Batch     98, Loss  0.547479, Average Loss  0.556374, Time  0.232170
2021-09-11 03:58:38.323874 : Epoch  6, Batch     99, Loss  0.538612, Average Loss  0.556223, Time  0.232039
2021-09-11 03:58:39.931779 : Epoch  6, Batch    100, Loss  0.557463, Average Loss  0.556269, Time  0.316438
2021-09-11 03:58:41.467255 : Epoch  6, Batch    101, Loss  0.555539, Average Loss  0.556212, Time  0.235704
2021-09-11 03:58:42.989788 : Epoch  6, Batch    102, Loss  0.554267, Average Loss  0.556172, Time  0.232066
2021-09-11 03:58:44.515662 : Epoch  6, Batch    103, Loss  0.558322, Average Loss  0.556210, Time  0.233524
2021-09-11 03:58:46.044218 : Epoch  6, Batch    104, Loss  0.562593, Average Loss  0.556218, Time  0.232054
2021-09-11 03:58:47.553832 : Epoch  6, Batch    105, Loss  0.555972, Average Loss  0.556143, Time  0.231740
2021-09-11 03:58:49.072806 : Epoch  6, Batch    106, Loss  0.551080, Average Loss  0.556119, Time  0.232277
2021-09-11 03:58:50.591744 : Epoch  6, Batch    107, Loss  0.574772, Average Loss  0.556209, Time  0.233440
2021-09-11 03:58:52.196048 : Epoch  6, Batch    108, Loss  0.548870, Average Loss  0.556157, Time  0.314702
2021-09-11 03:58:53.709793 : Epoch  6, Batch    109, Loss  0.554295, Average Loss  0.556225, Time  0.232285
2021-09-11 03:58:55.245282 : Epoch  6, Batch    110, Loss  0.560515, Average Loss  0.556199, Time  0.232856
2021-09-11 03:58:56.766249 : Epoch  6, Batch    111, Loss  0.544556, Average Loss  0.556122, Time  0.232807
2021-09-11 03:58:58.293781 : Epoch  6, Batch    112, Loss  0.561421, Average Loss  0.556095, Time  0.232322
2021-09-11 03:58:59.879922 : Epoch  6, Batch    113, Loss  0.556542, Average Loss  0.556093, Time  0.232241
2021-09-11 03:59:01.399908 : Epoch  6, Batch    114, Loss  0.558199, Average Loss  0.556049, Time  0.232374
2021-09-11 03:59:02.920837 : Epoch  6, Batch    115, Loss  0.559676, Average Loss  0.555986, Time  0.232235
2021-09-11 03:59:04.506926 : Epoch  6, Batch    116, Loss  0.574525, Average Loss  0.556115, Time  0.313520
2021-09-11 03:59:06.032122 : Epoch  6, Batch    117, Loss  0.560096, Average Loss  0.556181, Time  0.233369
2021-09-11 03:59:07.546024 : Epoch  6, Batch    118, Loss  0.556259, Average Loss  0.556227, Time  0.232041
2021-09-11 03:59:07.654734 : CheckPoint: Validation Loss  0.00059677, Best Loss  0.00057296
2021-09-11 03:59:09.082254 : Epoch  6, Batch    119, Loss  0.558242, Average Loss  0.556140, Time  0.231803
2021-09-11 03:59:09.268847 : Epoch  3, Batch   2179, Loss  0.852111, Average Loss  0.869062, Time  0.178072
2021-09-11 03:59:10.594083 : Epoch  6, Batch    120, Loss  0.556657, Average Loss  0.556121, Time  0.232564
2021-09-11 03:59:10.883820 : Epoch  3, Batch   2180, Loss  0.881378, Average Loss  0.869077, Time  0.173230
2021-09-11 03:59:12.096249 : Epoch  6, Batch    121, Loss  0.553206, Average Loss  0.556022, Time  0.232185
2021-09-11 03:59:12.480034 : Epoch  3, Batch   2181, Loss  0.880618, Average Loss  0.869327, Time  0.171095
2021-09-11 03:59:13.601804 : Epoch  6, Batch    122, Loss  0.556595, Average Loss  0.556043, Time  0.231736
2021-09-11 03:59:14.152025 : Epoch  3, Batch   2182, Loss  0.862404, Average Loss  0.869319, Time  0.188745
2021-09-11 03:59:15.125502 : Epoch  6, Batch    123, Loss  0.544020, Average Loss  0.555948, Time  0.233422
2021-09-11 03:59:15.789035 : Epoch  3, Batch   2183, Loss  0.863001, Average Loss  0.869369, Time  0.182542
2021-09-11 03:59:16.727830 : Epoch  6, Batch    124, Loss  0.569112, Average Loss  0.556008, Time  0.314000
2021-09-11 03:59:17.407806 : Epoch  3, Batch   2184, Loss  0.848489, Average Loss  0.869283, Time  0.175974
2021-09-11 03:59:18.274782 : Epoch  6, Batch    125, Loss  0.551440, Average Loss  0.555996, Time  0.231795
2021-09-11 03:59:19.050063 : Epoch  3, Batch   2185, Loss  0.864840, Average Loss  0.869259, Time  0.171477
2021-09-11 03:59:19.788026 : Epoch  6, Batch    126, Loss  0.559332, Average Loss  0.555921, Time  0.232300
2021-09-11 03:59:20.670783 : Epoch  3, Batch   2186, Loss  0.829645, Average Loss  0.869035, Time  0.170242
2021-09-11 03:59:21.294148 : Epoch  6, Batch    127, Loss  0.544490, Average Loss  0.555817, Time  0.231730
2021-09-11 03:59:22.305057 : Epoch  3, Batch   2187, Loss  0.893527, Average Loss  0.869218, Time  0.180006
2021-09-11 03:59:22.790505 : Epoch  6, Batch    128, Loss  0.549638, Average Loss  0.555705, Time  0.230784
2021-09-11 03:59:23.914863 : Epoch  3, Batch   2188, Loss  0.861634, Average Loss  0.869208, Time  0.176237
2021-09-11 03:59:24.326375 : Epoch  6, Batch    129, Loss  0.555868, Average Loss  0.555647, Time  0.233802
2021-09-11 03:59:25.540035 : Epoch  3, Batch   2189, Loss  0.866492, Average Loss  0.869098, Time  0.175110
2021-09-11 03:59:25.866063 : Epoch  6, Batch    130, Loss  0.553346, Average Loss  0.555634, Time  0.232135
2021-09-11 03:59:27.196805 : Epoch  3, Batch   2190, Loss  0.859339, Average Loss  0.869089, Time  0.170236
2021-09-11 03:59:27.388072 : Epoch  6, Batch    131, Loss  0.559287, Average Loss  0.555598, Time  0.232676
2021-09-11 03:59:28.838821 : Epoch  3, Batch   2191, Loss  0.890405, Average Loss  0.869163, Time  0.171169
2021-09-11 03:59:28.924989 : Epoch  6, Batch    132, Loss  0.552031, Average Loss  0.555627, Time  0.233612
2021-09-11 03:59:30.461303 : Epoch  6, Batch    133, Loss  0.551166, Average Loss  0.555555, Time  0.232142
2021-09-11 03:59:30.512040 : Epoch  3, Batch   2192, Loss  0.854073, Average Loss  0.869095, Time  0.184298
2021-09-11 03:59:31.977272 : Epoch  6, Batch    134, Loss  0.545037, Average Loss  0.555481, Time  0.232601
2021-09-11 03:59:32.141032 : Epoch  3, Batch   2193, Loss  0.851694, Average Loss  0.869004, Time  0.175855
2021-09-11 03:59:33.606853 : Epoch  6, Batch    135, Loss  0.552146, Average Loss  0.555404, Time  0.319918
2021-09-11 03:59:33.789024 : Epoch  3, Batch   2194, Loss  0.900549, Average Loss  0.869152, Time  0.169729
2021-09-11 03:59:35.414040 : Epoch  3, Batch   2195, Loss  0.854901, Average Loss  0.868859, Time  0.177286
2021-09-11 03:59:37.057032 : Epoch  3, Batch   2196, Loss  0.872160, Average Loss  0.868826, Time  0.170971
2021-09-11 03:59:37.451918 : Epoch  6, Batch    136, Loss  0.553157, Average Loss  0.555362, Time  0.234818
2021-09-11 03:59:38.683025 : Epoch  3, Batch   2197, Loss  0.830830, Average Loss  0.868633, Time  0.178638
2021-09-11 03:59:38.973800 : Epoch  6, Batch    137, Loss  0.561261, Average Loss  0.555366, Time  0.232744
2021-09-11 03:59:40.385031 : Epoch  3, Batch   2198, Loss  0.868280, Average Loss  0.868643, Time  0.181122
2021-09-11 03:59:40.498915 : Epoch  6, Batch    138, Loss  0.555304, Average Loss  0.555362, Time  0.232766
2021-09-11 03:59:42.022030 : Epoch  3, Batch   2199, Loss  0.877600, Average Loss  0.868723, Time  0.169736
2021-09-11 03:59:42.050109 : Epoch  6, Batch    139, Loss  0.550130, Average Loss  0.555388, Time  0.232820
2021-09-11 03:59:43.619509 : Epoch  6, Batch    140, Loss  0.553714, Average Loss  0.555399, Time  0.233107
2021-09-11 03:59:43.627040 : Epoch  3, Batch   2200, Loss  0.896964, Average Loss  0.868856, Time  0.175789
2021-09-11 03:59:45.261041 : Epoch  3, Batch   2201, Loss  0.860541, Average Loss  0.868843, Time  0.185777
2021-09-11 03:59:45.289286 : Epoch  6, Batch    141, Loss  0.550365, Average Loss  0.555325, Time  0.251277
2021-09-11 03:59:46.876065 : Epoch  3, Batch   2202, Loss  0.869402, Average Loss  0.868817, Time  0.176737
2021-09-11 03:59:46.965017 : Epoch  6, Batch    142, Loss  0.568683, Average Loss  0.555397, Time  0.251544
2021-09-11 03:59:48.477032 : Epoch  3, Batch   2203, Loss  0.886905, Average Loss  0.868825, Time  0.170605
2021-09-11 03:59:48.509365 : Epoch  6, Batch    143, Loss  0.556171, Average Loss  0.555428, Time  0.233670
2021-09-11 03:59:50.078805 : Epoch  6, Batch    144, Loss  0.555693, Average Loss  0.555488, Time  0.232594
2021-09-11 03:59:50.110825 : Epoch  3, Batch   2204, Loss  0.856814, Average Loss  0.868800, Time  0.183399
2021-09-11 03:59:51.597239 : Epoch  6, Batch    145, Loss  0.556668, Average Loss  0.555571, Time  0.231759
2021-09-11 03:59:51.747855 : Epoch  3, Batch   2205, Loss  0.883904, Average Loss  0.868773, Time  0.172944
2021-09-11 03:59:53.111983 : Epoch  6, Batch    146, Loss  0.559779, Average Loss  0.555636, Time  0.231819
2021-09-11 03:59:53.379760 : Epoch  3, Batch   2206, Loss  0.868250, Average Loss  0.868732, Time  0.170017
2021-09-11 03:59:54.626807 : Epoch  6, Batch    147, Loss  0.553774, Average Loss  0.555667, Time  0.232346
2021-09-11 03:59:55.016952 : Epoch  3, Batch   2207, Loss  0.881818, Average Loss  0.868894, Time  0.174323
2021-09-11 03:59:56.153751 : Epoch  6, Batch    148, Loss  0.559969, Average Loss  0.555617, Time  0.232159
2021-09-11 03:59:56.640781 : Epoch  3, Batch   2208, Loss  0.843291, Average Loss  0.868749, Time  0.171063
2021-09-11 03:59:57.836380 : Epoch  6, Batch    149, Loss  0.562560, Average Loss  0.555631, Time  0.256722
2021-09-11 03:59:58.291039 : Epoch  3, Batch   2209, Loss  0.881139, Average Loss  0.868688, Time  0.186289
2021-09-11 03:59:59.514335 : Epoch  6, Batch    150, Loss  0.556203, Average Loss  0.555667, Time  0.251743
2021-09-11 03:59:59.951765 : Epoch  3, Batch   2210, Loss  0.878924, Average Loss  0.868801, Time  0.185775
2021-09-11 04:00:01.202412 : Epoch  6, Batch    151, Loss  0.549895, Average Loss  0.555627, Time  0.251743
2021-09-11 04:00:01.585032 : Epoch  3, Batch   2211, Loss  0.876615, Average Loss  0.868745, Time  0.172267
2021-09-11 04:00:02.831894 : Epoch  6, Batch    152, Loss  0.546608, Average Loss  0.555624, Time  0.256249
2021-09-11 04:00:03.245038 : Epoch  3, Batch   2212, Loss  0.875311, Average Loss  0.868861, Time  0.170124
2021-09-11 04:00:04.465876 : Epoch  6, Batch    153, Loss  0.556024, Average Loss  0.555619, Time  0.232561
2021-09-11 04:00:04.913034 : Epoch  3, Batch   2213, Loss  0.866413, Average Loss  0.868852, Time  0.195811
2021-09-11 04:00:05.995865 : Epoch  6, Batch    154, Loss  0.551472, Average Loss  0.555574, Time  0.232206
2021-09-11 04:00:06.560020 : Epoch  3, Batch   2214, Loss  0.889619, Average Loss  0.868954, Time  0.169950
2021-09-11 04:00:07.515343 : Epoch  6, Batch    155, Loss  0.541828, Average Loss  0.555485, Time  0.231690
2021-09-11 04:00:08.228081 : Epoch  3, Batch   2215, Loss  0.873614, Average Loss  0.869043, Time  0.173368
2021-09-11 04:00:08.540870 : CheckPoint: Validation Loss  0.00030038, Best Loss  0.00029681
2021-09-11 04:00:09.047983 : Epoch  6, Batch    156, Loss  0.553883, Average Loss  0.555455, Time  0.232844
2021-09-11 04:00:09.860032 : Epoch  3, Batch   2216, Loss  0.881621, Average Loss  0.869155, Time  0.170025
2021-09-11 04:00:10.580309 : Epoch  6, Batch    157, Loss  0.564502, Average Loss  0.555454, Time  0.232785
2021-09-11 04:00:11.173980 : Epoch  1, Batch   1701, Loss  0.870520, Average Loss  0.872086, Time  0.241349
2021-09-11 04:00:11.492764 : Epoch  3, Batch   2217, Loss  0.852790, Average Loss  0.869031, Time  0.182526
2021-09-11 04:00:12.104112 : Epoch  6, Batch    158, Loss  0.558266, Average Loss  0.555451, Time  0.232093
2021-09-11 04:00:13.127032 : Epoch  3, Batch   2218, Loss  0.883625, Average Loss  0.869065, Time  0.183080
2021-09-11 04:00:13.680306 : Epoch  6, Batch    159, Loss  0.544928, Average Loss  0.555431, Time  0.301693
2021-09-11 04:00:13.835796 : Epoch  1, Batch   1702, Loss  0.864475, Average Loss  0.872076, Time  0.265035
2021-09-11 04:00:14.742024 : Epoch  3, Batch   2219, Loss  0.865402, Average Loss  0.869145, Time  0.180785
2021-09-11 04:00:15.219042 : Epoch  6, Batch    160, Loss  0.549959, Average Loss  0.555387, Time  0.232146
2021-09-11 04:00:16.352833 : Epoch  3, Batch   2220, Loss  0.897215, Average Loss  0.869312, Time  0.172436
2021-09-11 04:00:16.481970 : Epoch  1, Batch   1703, Loss  0.878272, Average Loss  0.872032, Time  0.246908
2021-09-11 04:00:16.749964 : Epoch  6, Batch    161, Loss  0.553330, Average Loss  0.555305, Time  0.234481
2021-09-11 04:00:17.982032 : Epoch  3, Batch   2221, Loss  0.882677, Average Loss  0.869423, Time  0.170846
2021-09-11 04:00:18.271220 : Epoch  6, Batch    162, Loss  0.537966, Average Loss  0.555135, Time  0.232281
2021-09-11 04:00:19.118946 : Epoch  1, Batch   1704, Loss  0.849214, Average Loss  0.871920, Time  0.242548
2021-09-11 04:00:19.601031 : Epoch  3, Batch   2222, Loss  0.862898, Average Loss  0.869348, Time  0.174649
2021-09-11 04:00:19.966786 : Epoch  6, Batch    163, Loss  0.547489, Average Loss  0.555043, Time  0.253555
2021-09-11 04:00:21.224038 : Epoch  3, Batch   2223, Loss  0.867766, Average Loss  0.869148, Time  0.175918
2021-09-11 04:00:21.502922 : Epoch  6, Batch    164, Loss  0.558712, Average Loss  0.554990, Time  0.232195
2021-09-11 04:00:21.757151 : Epoch  1, Batch   1705, Loss  0.886571, Average Loss  0.871982, Time  0.239530
2021-09-11 04:00:22.850025 : Epoch  3, Batch   2224, Loss  0.851040, Average Loss  0.869070, Time  0.171472
2021-09-11 04:00:23.034418 : Epoch  6, Batch    165, Loss  0.547909, Average Loss  0.554892, Time  0.231949
2021-09-11 04:00:24.404612 : Epoch  1, Batch   1706, Loss  0.841247, Average Loss  0.871833, Time  0.245552
2021-09-11 04:00:24.491855 : Epoch  3, Batch   2225, Loss  0.841867, Average Loss  0.868825, Time  0.170623
2021-09-11 04:00:26.136818 : Epoch  3, Batch   2226, Loss  0.912712, Average Loss  0.869216, Time  0.170681
2021-09-11 04:00:27.125580 : Epoch  1, Batch   1707, Loss  0.876865, Average Loss  0.871830, Time  0.323351
2021-09-11 04:00:27.790804 : Epoch  3, Batch   2227, Loss  0.837628, Average Loss  0.869014, Time  0.176908
2021-09-11 04:00:29.413030 : Epoch  3, Batch   2228, Loss  0.868908, Average Loss  0.869014, Time  0.170169
2021-09-11 04:00:29.852875 : Epoch  1, Batch   1708, Loss  0.880507, Average Loss  0.871866, Time  0.328270
2021-09-11 04:00:31.050026 : Epoch  3, Batch   2229, Loss  0.844712, Average Loss  0.868899, Time  0.182160
2021-09-11 04:00:32.559188 : Epoch  1, Batch   1709, Loss  0.880585, Average Loss  0.871859, Time  0.308388
2021-09-11 04:00:32.693028 : Epoch  3, Batch   2230, Loss  0.880387, Average Loss  0.868927, Time  0.172939
2021-09-11 04:00:34.314031 : Epoch  3, Batch   2231, Loss  0.871059, Average Loss  0.869038, Time  0.172136
2021-09-11 04:00:35.326005 : Epoch  1, Batch   1710, Loss  0.853441, Average Loss  0.871735, Time  0.263572
2021-09-11 04:00:35.900031 : Epoch  3, Batch   2232, Loss  0.846915, Average Loss  0.869066, Time  0.170090
2021-09-11 04:00:37.535031 : Epoch  3, Batch   2233, Loss  0.887711, Average Loss  0.869192, Time  0.176519
2021-09-11 04:00:37.981051 : Epoch  1, Batch   1711, Loss  0.857562, Average Loss  0.871527, Time  0.266258
2021-09-11 04:00:39.161031 : Epoch  3, Batch   2234, Loss  0.860552, Average Loss  0.869178, Time  0.177212
2021-09-11 04:00:40.700860 : Epoch  1, Batch   1712, Loss  0.880832, Average Loss  0.871561, Time  0.264457
2021-09-11 04:00:40.788816 : Epoch  3, Batch   2235, Loss  0.890829, Average Loss  0.869347, Time  0.173532
2021-09-11 04:00:42.429776 : Epoch  3, Batch   2236, Loss  0.828743, Average Loss  0.868998, Time  0.169925
2021-09-11 04:00:43.394270 : Epoch  1, Batch   1713, Loss  0.869673, Average Loss  0.871482, Time  0.238945
2021-09-11 04:00:44.075035 : Epoch  3, Batch   2237, Loss  0.848080, Average Loss  0.868981, Time  0.174674
2021-09-11 04:00:45.705033 : Epoch  3, Batch   2238, Loss  0.827794, Average Loss  0.868767, Time  0.175926
2021-09-11 04:00:46.073492 : Epoch  1, Batch   1714, Loss  0.886385, Average Loss  0.871510, Time  0.249405
2021-09-11 04:00:47.339041 : Epoch  3, Batch   2239, Loss  0.875371, Average Loss  0.868793, Time  0.179281
2021-09-11 04:00:48.695139 : Epoch  1, Batch   1715, Loss  0.905846, Average Loss  0.871648, Time  0.240952
2021-09-11 04:00:48.955739 : Epoch  3, Batch   2240, Loss  0.864492, Average Loss  0.868636, Time  0.173289
2021-09-11 04:00:50.582038 : Epoch  3, Batch   2241, Loss  0.847554, Average Loss  0.868518, Time  0.178643
2021-09-11 04:00:51.326247 : Epoch  1, Batch   1716, Loss  0.874846, Average Loss  0.871611, Time  0.242942
2021-09-11 04:00:52.198038 : Epoch  3, Batch   2242, Loss  0.868044, Average Loss  0.868527, Time  0.170325
2021-09-11 04:00:53.816033 : Epoch  3, Batch   2243, Loss  0.884963, Average Loss  0.868590, Time  0.171317
2021-09-11 04:00:53.945411 : Epoch  1, Batch   1717, Loss  0.868678, Average Loss  0.871548, Time  0.239945
2021-09-11 04:00:55.428029 : Epoch  3, Batch   2244, Loss  0.870631, Average Loss  0.868554, Time  0.170725
2021-09-11 04:00:56.571306 : Epoch  1, Batch   1718, Loss  0.872387, Average Loss  0.871581, Time  0.238825
2021-09-11 04:00:57.051028 : Epoch  3, Batch   2245, Loss  0.873243, Average Loss  0.868517, Time  0.169836
2021-09-11 04:00:58.693037 : Epoch  3, Batch   2246, Loss  0.853035, Average Loss  0.868315, Time  0.177306
2021-09-11 04:00:59.252870 : Epoch  1, Batch   1719, Loss  0.851649, Average Loss  0.871469, Time  0.240494
2021-09-11 04:01:00.334036 : Epoch  3, Batch   2247, Loss  0.869086, Average Loss  0.868240, Time  0.187886
2021-09-11 04:01:01.892425 : Epoch  1, Batch   1720, Loss  0.883801, Average Loss  0.871515, Time  0.245785
2021-09-11 04:01:01.969034 : Epoch  3, Batch   2248, Loss  0.869215, Average Loss  0.868139, Time  0.173402
2021-09-11 04:01:03.585772 : Epoch  3, Batch   2249, Loss  0.871663, Average Loss  0.868163, Time  0.173723
2021-09-11 04:01:04.525469 : Epoch  1, Batch   1721, Loss  0.880425, Average Loss  0.871413, Time  0.242090
2021-09-11 04:01:05.226855 : Epoch  3, Batch   2250, Loss  0.859581, Average Loss  0.867959, Time  0.179810
2021-09-11 04:01:06.855768 : Epoch  3, Batch   2251, Loss  0.859423, Average Loss  0.867855, Time  0.194923
2021-09-11 04:01:07.167121 : Epoch  1, Batch   1722, Loss  0.892543, Average Loss  0.871489, Time  0.240496
2021-09-11 04:01:08.500817 : Epoch  3, Batch   2252, Loss  0.872723, Average Loss  0.867792, Time  0.170862
2021-09-11 04:01:09.812904 : Epoch  1, Batch   1723, Loss  0.890879, Average Loss  0.871571, Time  0.244700
2021-09-11 04:01:10.129854 : Epoch  3, Batch   2253, Loss  0.849856, Average Loss  0.867840, Time  0.170952
2021-09-11 04:01:11.752026 : Epoch  3, Batch   2254, Loss  0.853517, Average Loss  0.867752, Time  0.173619
2021-09-11 04:01:12.454451 : Epoch  1, Batch   1724, Loss  0.883485, Average Loss  0.871602, Time  0.258603
2021-09-11 04:01:13.365037 : Epoch  3, Batch   2255, Loss  0.869765, Average Loss  0.867852, Time  0.169754
2021-09-11 04:01:14.972866 : Epoch  3, Batch   2256, Loss  0.857924, Average Loss  0.867812, Time  0.169977
2021-09-11 04:01:15.087871 : Epoch  1, Batch   1725, Loss  0.868165, Average Loss  0.871501, Time  0.243159
2021-09-11 04:01:16.613039 : Epoch  3, Batch   2257, Loss  0.844894, Average Loss  0.867764, Time  0.202742
2021-09-11 04:01:17.741040 : Epoch  1, Batch   1726, Loss  0.891298, Average Loss  0.871769, Time  0.248114
2021-09-11 04:01:18.207849 : Epoch  3, Batch   2258, Loss  0.886576, Average Loss  0.867877, Time  0.170737
2021-09-11 04:01:19.682918 : CheckPoint: Validation Loss  0.00022474, Best Loss  0.00022474
2021-09-11 04:01:19.734712 : Best Model Updated
2021-09-11 04:01:20.042040 : Epoch  3, Batch   2259, Loss  0.882354, Average Loss  0.867844, Time  0.177652
2021-09-11 04:01:20.366244 : Epoch  1, Batch   1727, Loss  0.878219, Average Loss  0.871624, Time  0.242426
2021-09-11 04:01:21.692040 : Epoch  3, Batch   2260, Loss  0.868041, Average Loss  0.867935, Time  0.176823
2021-09-11 04:01:22.451188 : Epoch  6, Batch    166, Loss  0.555362, Average Loss  0.554916, Time  0.233554
2021-09-11 04:01:23.074051 : Epoch  1, Batch   1728, Loss  0.893554, Average Loss  0.871763, Time  0.244021
2021-09-11 04:01:23.323025 : Epoch  3, Batch   2261, Loss  0.856692, Average Loss  0.868078, Time  0.170110
2021-09-11 04:01:23.958770 : Epoch  6, Batch    167, Loss  0.567505, Average Loss  0.554924, Time  0.231960
2021-09-11 04:01:24.942040 : Epoch  3, Batch   2262, Loss  0.839029, Average Loss  0.867857, Time  0.170150
2021-09-11 04:01:25.475834 : Epoch  6, Batch    168, Loss  0.548948, Average Loss  0.554963, Time  0.231907
2021-09-11 04:01:25.712419 : Epoch  1, Batch   1729, Loss  0.879591, Average Loss  0.871800, Time  0.242677
2021-09-11 04:01:26.600737 : Epoch  3, Batch   2263, Loss  0.859204, Average Loss  0.867827, Time  0.186755
2021-09-11 04:01:27.169947 : Epoch  6, Batch    169, Loss  0.551115, Average Loss  0.554923, Time  0.254185
2021-09-11 04:01:28.245035 : Epoch  3, Batch   2264, Loss  0.843125, Average Loss  0.867744, Time  0.170085
2021-09-11 04:01:28.386127 : Epoch  1, Batch   1730, Loss  0.893565, Average Loss  0.871889, Time  0.253366
2021-09-11 04:01:28.839809 : Epoch  6, Batch    170, Loss  0.544418, Average Loss  0.554849, Time  0.251322
2021-09-11 04:01:29.904015 : Epoch  3, Batch   2265, Loss  0.857145, Average Loss  0.867879, Time  0.187501
2021-09-11 04:01:30.440203 : Epoch  6, Batch    171, Loss  0.565143, Average Loss  0.554961, Time  0.232949
2021-09-11 04:01:31.050926 : Epoch  1, Batch   1731, Loss  0.872946, Average Loss  0.871951, Time  0.247359
2021-09-11 04:01:31.518060 : Epoch  3, Batch   2266, Loss  0.854872, Average Loss  0.867725, Time  0.171454
2021-09-11 04:01:32.001070 : Epoch  6, Batch    172, Loss  0.545255, Average Loss  0.554857, Time  0.233590
2021-09-11 04:01:33.134041 : Epoch  3, Batch   2267, Loss  0.882385, Average Loss  0.867948, Time  0.169592
2021-09-11 04:01:33.634000 : Epoch  6, Batch    173, Loss  0.543965, Average Loss  0.554843, Time  0.347163
2021-09-11 04:01:33.743889 : Epoch  1, Batch   1732, Loss  0.852600, Average Loss  0.871848, Time  0.299963
2021-09-11 04:01:34.752750 : Epoch  3, Batch   2268, Loss  0.869208, Average Loss  0.867972, Time  0.171427
2021-09-11 04:01:35.146018 : Epoch  6, Batch    174, Loss  0.568123, Average Loss  0.554912, Time  0.231957
2021-09-11 04:01:36.385771 : Epoch  3, Batch   2269, Loss  0.888032, Average Loss  0.868065, Time  0.172471
2021-09-11 04:01:36.394854 : Epoch  1, Batch   1733, Loss  0.876555, Average Loss  0.871867, Time  0.240052
2021-09-11 04:01:36.804961 : Epoch  6, Batch    175, Loss  0.542902, Average Loss  0.554971, Time  0.233639
2021-09-11 04:01:38.024030 : Epoch  3, Batch   2270, Loss  0.881240, Average Loss  0.868132, Time  0.172322
2021-09-11 04:01:38.330794 : Epoch  6, Batch    176, Loss  0.562165, Average Loss  0.555013, Time  0.232146
2021-09-11 04:01:39.080087 : Epoch  1, Batch   1734, Loss  0.866478, Average Loss  0.871855, Time  0.246842
2021-09-11 04:01:39.648024 : Epoch  3, Batch   2271, Loss  0.870511, Average Loss  0.868036, Time  0.179908
2021-09-11 04:01:39.864265 : Epoch  6, Batch    177, Loss  0.557442, Average Loss  0.555107, Time  0.232126
2021-09-11 04:01:41.269774 : Epoch  3, Batch   2272, Loss  0.852582, Average Loss  0.867862, Time  0.170184
2021-09-11 04:01:41.547843 : Epoch  6, Batch    178, Loss  0.556397, Average Loss  0.555143, Time  0.252145
2021-09-11 04:01:41.753386 : Epoch  1, Batch   1735, Loss  0.871384, Average Loss  0.871861, Time  0.253694
2021-09-11 04:01:42.885814 : Epoch  3, Batch   2273, Loss  0.874925, Average Loss  0.867846, Time  0.169626
2021-09-11 04:01:43.066651 : Epoch  6, Batch    179, Loss  0.556986, Average Loss  0.555141, Time  0.232460
2021-09-11 04:01:44.391403 : Epoch  1, Batch   1736, Loss  0.858918, Average Loss  0.871820, Time  0.241751
2021-09-11 04:01:44.493786 : Epoch  3, Batch   2274, Loss  0.873095, Average Loss  0.867844, Time  0.173828
2021-09-11 04:01:44.718256 : Epoch  6, Batch    180, Loss  0.547141, Average Loss  0.555139, Time  0.233801
2021-09-11 04:01:46.155039 : Epoch  3, Batch   2275, Loss  0.866439, Average Loss  0.867914, Time  0.184787
2021-09-11 04:01:46.228784 : Epoch  6, Batch    181, Loss  0.561712, Average Loss  0.555163, Time  0.232006
2021-09-11 04:01:47.124397 : Epoch  1, Batch   1737, Loss  0.876956, Average Loss  0.871701, Time  0.244926
2021-09-11 04:01:47.745741 : Epoch  6, Batch    182, Loss  0.558722, Average Loss  0.555168, Time  0.231727
2021-09-11 04:01:47.787739 : Epoch  3, Batch   2276, Loss  0.868681, Average Loss  0.867967, Time  0.175112
2021-09-11 04:01:49.265817 : Epoch  6, Batch    183, Loss  0.557098, Average Loss  0.555205, Time  0.231793
2021-09-11 04:01:49.408021 : Epoch  3, Batch   2277, Loss  0.860626, Average Loss  0.867875, Time  0.176895
2021-09-11 04:01:49.764967 : Epoch  1, Batch   1738, Loss  0.863142, Average Loss  0.871559, Time  0.246451
2021-09-11 04:01:50.804833 : Epoch  6, Batch    184, Loss  0.557749, Average Loss  0.555182, Time  0.233390
2021-09-11 04:01:51.058839 : Epoch  3, Batch   2278, Loss  0.841056, Average Loss  0.867871, Time  0.183830
2021-09-11 04:01:52.548825 : Epoch  6, Batch    185, Loss  0.559368, Average Loss  0.555234, Time  0.443659
2021-09-11 04:01:52.591040 : Epoch  1, Batch   1739, Loss  0.848217, Average Loss  0.871537, Time  0.412777
2021-09-11 04:01:54.056736 : Epoch  6, Batch    186, Loss  0.554329, Average Loss  0.555189, Time  0.231797
2021-09-11 04:01:55.304833 : Epoch  1, Batch   1740, Loss  0.868037, Average Loss  0.871552, Time  0.258608
2021-09-11 04:01:55.577303 : Epoch  6, Batch    187, Loss  0.562294, Average Loss  0.555170, Time  0.232631
2021-09-11 04:01:57.094121 : Epoch  6, Batch    188, Loss  0.558085, Average Loss  0.555165, Time  0.231885
2021-09-11 04:01:58.030244 : Epoch  1, Batch   1741, Loss  0.876024, Average Loss  0.871624, Time  0.262125
2021-09-11 04:01:58.606805 : Epoch  6, Batch    189, Loss  0.563701, Average Loss  0.555167, Time  0.232211
2021-09-11 04:02:00.295943 : Epoch  6, Batch    190, Loss  0.546585, Average Loss  0.555170, Time  0.254787
2021-09-11 04:02:00.666291 : Epoch  1, Batch   1742, Loss  0.882407, Average Loss  0.871725, Time  0.239180
2021-09-11 04:02:01.987323 : Epoch  6, Batch    191, Loss  0.556548, Average Loss  0.555157, Time  0.251216
2021-09-11 04:02:03.303531 : Epoch  1, Batch   1743, Loss  0.861672, Average Loss  0.871708, Time  0.244679
2021-09-11 04:02:03.541118 : Epoch  6, Batch    192, Loss  0.544792, Average Loss  0.555089, Time  0.232142
2021-09-11 04:02:05.063351 : Epoch  6, Batch    193, Loss  0.543217, Average Loss  0.554924, Time  0.232289
2021-09-11 04:02:06.071837 : Epoch  1, Batch   1744, Loss  0.886808, Average Loss  0.871863, Time  0.263251
2021-09-11 04:02:06.586262 : Epoch  6, Batch    194, Loss  0.540520, Average Loss  0.554832, Time  0.232135
2021-09-11 04:02:08.104800 : Epoch  6, Batch    195, Loss  0.560827, Average Loss  0.554807, Time  0.232322
2021-09-11 04:02:08.743348 : Epoch  1, Batch   1745, Loss  0.873289, Average Loss  0.871908, Time  0.242335
2021-09-11 04:02:09.683179 : Epoch  6, Batch    196, Loss  0.544442, Average Loss  0.554719, Time  0.233254
2021-09-11 04:02:11.302598 : Epoch  6, Batch    197, Loss  0.551626, Average Loss  0.554703, Time  0.334147
2021-09-11 04:02:11.418772 : Epoch  1, Batch   1746, Loss  0.873915, Average Loss  0.871909, Time  0.286747
2021-09-11 04:02:12.839746 : Epoch  6, Batch    198, Loss  0.555316, Average Loss  0.554664, Time  0.234354
2021-09-11 04:02:14.092110 : Epoch  1, Batch   1747, Loss  0.882174, Average Loss  0.871908, Time  0.260042
2021-09-11 04:02:14.353905 : Epoch  6, Batch    199, Loss  0.554780, Average Loss  0.554628, Time  0.232456
2021-09-11 04:02:15.874913 : Epoch  6, Batch    200, Loss  0.542215, Average Loss  0.554473, Time  0.232288
2021-09-11 04:02:16.818009 : Epoch  1, Batch   1748, Loss  0.863411, Average Loss  0.871835, Time  0.260054
2021-09-11 04:02:17.408734 : Epoch  6, Batch    201, Loss  0.555154, Average Loss  0.554478, Time  0.236180
2021-09-11 04:02:18.935299 : Epoch  6, Batch    202, Loss  0.551506, Average Loss  0.554473, Time  0.232940
2021-09-11 04:02:19.551669 : Epoch  1, Batch   1749, Loss  0.892044, Average Loss  0.871960, Time  0.265336
2021-09-11 04:02:20.465254 : Epoch  6, Batch    203, Loss  0.551303, Average Loss  0.554497, Time  0.232012
2021-09-11 04:02:21.981559 : Epoch  6, Batch    204, Loss  0.549048, Average Loss  0.554464, Time  0.232048
2021-09-11 04:02:22.299007 : Epoch  1, Batch   1750, Loss  0.864735, Average Loss  0.871872, Time  0.265211
2021-09-11 04:02:23.505942 : Epoch  6, Batch    205, Loss  0.556128, Average Loss  0.554520, Time  0.232605
2021-09-11 04:02:25.251204 : Epoch  6, Batch    206, Loss  0.546354, Average Loss  0.554470, Time  0.452184
2021-09-11 04:02:25.302267 : Epoch  1, Batch   1751, Loss  0.874446, Average Loss  0.872029, Time  0.446153
2021-09-11 04:02:26.772065 : Epoch  6, Batch    207, Loss  0.563117, Average Loss  0.554471, Time  0.233282
2021-09-11 04:02:27.947049 : Epoch  1, Batch   1752, Loss  0.880536, Average Loss  0.872049, Time  0.244704
2021-09-11 04:02:28.315239 : Epoch  6, Batch    208, Loss  0.558242, Average Loss  0.554534, Time  0.233668
2021-09-11 04:02:29.833854 : Epoch  6, Batch    209, Loss  0.565515, Average Loss  0.554644, Time  0.231823
2021-09-11 04:02:30.587409 : Epoch  1, Batch   1753, Loss  0.876919, Average Loss  0.872139, Time  0.240957
2021-09-11 04:02:31.355066 : Epoch  6, Batch    210, Loss  0.538099, Average Loss  0.554543, Time  0.232228
2021-09-11 04:02:32.881095 : Epoch  6, Batch    211, Loss  0.550859, Average Loss  0.554492, Time  0.233053
2021-09-11 04:02:33.234898 : Epoch  1, Batch   1754, Loss  0.871072, Average Loss  0.872218, Time  0.246956
2021-09-11 04:02:34.445104 : Epoch  6, Batch    212, Loss  0.554509, Average Loss  0.554457, Time  0.232838
2021-09-11 04:02:36.041603 : Epoch  1, Batch   1755, Loss  0.875801, Average Loss  0.872256, Time  0.414298
2021-09-11 04:02:36.079230 : Epoch  6, Batch    213, Loss  0.561608, Average Loss  0.554464, Time  0.351359
2021-09-11 04:02:37.581038 : Epoch  6, Batch    214, Loss  0.553325, Average Loss  0.554487, Time  0.232072
2021-09-11 04:02:38.673620 : Epoch  1, Batch   1756, Loss  0.870876, Average Loss  0.872179, Time  0.250692
2021-09-11 04:02:39.116594 : Epoch  6, Batch    215, Loss  0.546096, Average Loss  0.554424, Time  0.233168
2021-09-11 04:02:40.649997 : Epoch  6, Batch    216, Loss  0.559785, Average Loss  0.554448, Time  0.233255
2021-09-11 04:02:41.393162 : Epoch  1, Batch   1757, Loss  0.877912, Average Loss  0.872132, Time  0.261665
2021-09-11 04:02:42.169805 : Epoch  6, Batch    217, Loss  0.557792, Average Loss  0.554453, Time  0.231937
2021-09-11 04:02:43.699560 : Epoch  6, Batch    218, Loss  0.564476, Average Loss  0.554508, Time  0.232108
2021-09-11 04:02:44.093297 : Epoch  1, Batch   1758, Loss  0.881823, Average Loss  0.872082, Time  0.248393
2021-09-11 04:02:45.233941 : Epoch  6, Batch    219, Loss  0.543932, Average Loss  0.554493, Time  0.233370
2021-09-11 04:02:46.958399 : Epoch  6, Batch    220, Loss  0.558559, Average Loss  0.554521, Time  0.409575
2021-09-11 04:02:46.999880 : Epoch  1, Batch   1759, Loss  0.877107, Average Loss  0.872116, Time  0.456620
2021-09-11 04:02:48.546814 : Epoch  6, Batch    221, Loss  0.570908, Average Loss  0.554698, Time  0.232915
2021-09-11 04:02:49.617302 : Epoch  1, Batch   1760, Loss  0.867012, Average Loss  0.872099, Time  0.248950
2021-09-11 04:02:50.208787 : Epoch  6, Batch    222, Loss  0.552251, Average Loss  0.554644, Time  0.251566
2021-09-11 04:02:51.891210 : Epoch  6, Batch    223, Loss  0.569896, Average Loss  0.554726, Time  0.252446
2021-09-11 04:02:52.252127 : Epoch  1, Batch   1761, Loss  0.843715, Average Loss  0.871979, Time  0.243569
2021-09-11 04:02:53.551328 : Epoch  6, Batch    224, Loss  0.557380, Average Loss  0.554729, Time  0.251421
2021-09-11 04:02:54.894050 : Epoch  1, Batch   1762, Loss  0.875975, Average Loss  0.871971, Time  0.246728
2021-09-11 04:02:55.091259 : Epoch  6, Batch    225, Loss  0.541772, Average Loss  0.554698, Time  0.243497
2021-09-11 04:02:56.621334 : Epoch  6, Batch    226, Loss  0.557513, Average Loss  0.554697, Time  0.232794
2021-09-11 04:02:57.520237 : Epoch  1, Batch   1763, Loss  0.869921, Average Loss  0.872092, Time  0.244178
2021-09-11 04:02:58.130243 : Epoch  6, Batch    227, Loss  0.566676, Average Loss  0.554757, Time  0.231841
2021-09-11 04:02:59.642514 : Epoch  6, Batch    228, Loss  0.554967, Average Loss  0.554796, Time  0.231984
2021-09-11 04:03:00.141880 : Epoch  1, Batch   1764, Loss  0.865170, Average Loss  0.872016, Time  0.238661
2021-09-11 04:03:01.152859 : Epoch  6, Batch    229, Loss  0.569038, Average Loss  0.554867, Time  0.232162
2021-09-11 04:03:02.867129 : Epoch  6, Batch    230, Loss  0.558842, Average Loss  0.554904, Time  0.428915
2021-09-11 04:03:02.912203 : Epoch  1, Batch   1765, Loss  0.875024, Average Loss  0.872032, Time  0.375674
2021-09-11 04:03:04.388813 : Epoch  6, Batch    231, Loss  0.565323, Average Loss  0.554969, Time  0.232055
2021-09-11 04:03:05.530417 : Epoch  1, Batch   1766, Loss  0.881942, Average Loss  0.872041, Time  0.243184
2021-09-11 04:03:05.935418 : Epoch  6, Batch    232, Loss  0.547077, Average Loss  0.554908, Time  0.233753
2021-09-11 04:03:07.454426 : Epoch  6, Batch    233, Loss  0.551389, Average Loss  0.554825, Time  0.232219
2021-09-11 04:03:08.172924 : Epoch  1, Batch   1767, Loss  0.864571, Average Loss  0.871947, Time  0.246640
2021-09-11 04:03:08.975065 : Epoch  6, Batch    234, Loss  0.556731, Average Loss  0.554844, Time  0.231849
2021-09-11 04:03:10.496045 : Epoch  6, Batch    235, Loss  0.562174, Average Loss  0.554904, Time  0.233465
2021-09-11 04:03:10.897847 : Epoch  1, Batch   1768, Loss  0.857420, Average Loss  0.871871, Time  0.239793
2021-09-11 04:03:13.541327 : Epoch  1, Batch   1769, Loss  0.882772, Average Loss  0.871905, Time  0.242088
2021-09-11 04:03:14.462903 : Epoch  6, Batch    236, Loss  0.539930, Average Loss  0.554814, Time  0.237653
2021-09-11 04:03:15.987786 : Epoch  6, Batch    237, Loss  0.558568, Average Loss  0.554815, Time  0.232661
2021-09-11 04:03:16.276459 : Epoch  1, Batch   1770, Loss  0.864949, Average Loss  0.871902, Time  0.267898
2021-09-11 04:03:17.501441 : Epoch  6, Batch    238, Loss  0.544782, Average Loss  0.554703, Time  0.232239
2021-09-11 04:03:18.920877 : Epoch  1, Batch   1771, Loss  0.884047, Average Loss  0.871961, Time  0.247155
2021-09-11 04:03:19.158273 : Epoch  6, Batch    239, Loss  0.564791, Average Loss  0.554714, Time  0.233745
2021-09-11 04:03:20.861089 : Epoch  6, Batch    240, Loss  0.562697, Average Loss  0.554625, Time  0.252502
2021-09-11 04:03:21.547372 : Epoch  1, Batch   1772, Loss  0.865719, Average Loss  0.871912, Time  0.240658
2021-09-11 04:03:22.524279 : Epoch  6, Batch    241, Loss  0.546708, Average Loss  0.554612, Time  0.251248
2021-09-11 04:03:24.368422 : Epoch  1, Batch   1773, Loss  0.858491, Average Loss  0.871742, Time  0.444503
2021-09-11 04:03:24.412838 : Epoch  6, Batch    242, Loss  0.568370, Average Loss  0.554625, Time  0.411125
2021-09-11 04:03:26.069024 : Epoch  6, Batch    243, Loss  0.544696, Average Loss  0.554589, Time  0.252792
2021-09-11 04:03:27.010932 : Epoch  1, Batch   1774, Loss  0.853526, Average Loss  0.871699, Time  0.242786
2021-09-11 04:03:27.749288 : Epoch  6, Batch    244, Loss  0.552484, Average Loss  0.554602, Time  0.251200
2021-09-11 04:03:29.418490 : Epoch  6, Batch    245, Loss  0.542209, Average Loss  0.554530, Time  0.251422
2021-09-11 04:03:29.723365 : Epoch  1, Batch   1775, Loss  0.887843, Average Loss  0.871702, Time  0.322348
2021-09-11 04:03:30.923949 : Epoch  6, Batch    246, Loss  0.552613, Average Loss  0.554527, Time  0.232630
2021-09-11 04:03:32.637310 : Epoch  6, Batch    247, Loss  0.550354, Average Loss  0.554462, Time  0.425534
2021-09-11 04:03:32.680618 : Epoch  1, Batch   1776, Loss  0.854980, Average Loss  0.871559, Time  0.473229
2021-09-11 04:03:34.317016 : Epoch  6, Batch    248, Loss  0.555754, Average Loss  0.554455, Time  0.255167
2021-09-11 04:03:35.308828 : Epoch  1, Batch   1777, Loss  0.870466, Average Loss  0.871475, Time  0.240276
2021-09-11 04:03:35.994681 : Epoch  6, Batch    249, Loss  0.554367, Average Loss  0.554465, Time  0.252817
2021-09-11 04:03:37.671874 : Epoch  6, Batch    250, Loss  0.560989, Average Loss  0.554492, Time  0.251262
2021-09-11 04:03:37.935073 : Epoch  1, Batch   1778, Loss  0.893218, Average Loss  0.871608, Time  0.244862
2021-09-11 04:03:39.338311 : Epoch  6, Batch    251, Loss  0.558396, Average Loss  0.554538, Time  0.251316
2021-09-11 04:03:40.594121 : Epoch  1, Batch   1779, Loss  0.850419, Average Loss  0.871478, Time  0.242458
2021-09-11 04:03:40.900312 : Epoch  6, Batch    252, Loss  0.552390, Average Loss  0.554547, Time  0.257535
2021-09-11 04:03:42.418079 : Epoch  6, Batch    253, Loss  0.552258, Average Loss  0.554502, Time  0.233266
2021-09-11 04:03:43.231851 : Epoch  1, Batch   1780, Loss  0.868617, Average Loss  0.871456, Time  0.247057
2021-09-11 04:03:44.089435 : Epoch  6, Batch    254, Loss  0.550790, Average Loss  0.554485, Time  0.253441
2021-09-11 04:03:45.613331 : Epoch  6, Batch    255, Loss  0.553832, Average Loss  0.554558, Time  0.236126
2021-09-11 04:03:45.864895 : Epoch  1, Batch   1781, Loss  0.879932, Average Loss  0.871591, Time  0.243448
2021-09-11 04:03:47.144900 : Epoch  6, Batch    256, Loss  0.554988, Average Loss  0.554534, Time  0.233191
2021-09-11 04:03:48.595416 : Epoch  1, Batch   1782, Loss  0.887351, Average Loss  0.871530, Time  0.330572
2021-09-11 04:03:48.714864 : Epoch  6, Batch    257, Loss  0.561491, Average Loss  0.554560, Time  0.262039
2021-09-11 04:03:50.247973 : Epoch  6, Batch    258, Loss  0.553566, Average Loss  0.554554, Time  0.231935
2021-09-11 04:03:51.218145 : Epoch  1, Batch   1783, Loss  0.876572, Average Loss  0.871597, Time  0.241261
2021-09-11 04:03:51.765827 : Epoch  6, Batch    259, Loss  0.557759, Average Loss  0.554566, Time  0.232235
2021-09-11 04:03:53.302027 : Epoch  6, Batch    260, Loss  0.551371, Average Loss  0.554572, Time  0.233310
2021-09-11 04:03:53.854538 : Epoch  1, Batch   1784, Loss  0.873288, Average Loss  0.871571, Time  0.244902
2021-09-11 04:03:54.984823 : Epoch  6, Batch    261, Loss  0.554972, Average Loss  0.554571, Time  0.252001
2021-09-11 04:03:56.719937 : Epoch  1, Batch   1785, Loss  0.869898, Average Loss  0.871567, Time  0.452672
2021-09-11 04:03:56.773097 : Epoch  6, Batch    262, Loss  0.559074, Average Loss  0.554576, Time  0.455119
2021-09-11 04:03:58.487106 : Epoch  6, Batch    263, Loss  0.550169, Average Loss  0.554565, Time  0.261875
2021-09-11 04:03:59.365476 : Epoch  1, Batch   1786, Loss  0.860629, Average Loss  0.871434, Time  0.242592
2021-09-11 04:04:00.165454 : Epoch  6, Batch    264, Loss  0.546612, Average Loss  0.554463, Time  0.251876
2021-09-11 04:04:01.908093 : Epoch  6, Batch    265, Loss  0.566689, Average Loss  0.554597, Time  0.320905
2021-09-11 04:04:02.083017 : Epoch  1, Batch   1787, Loss  0.872581, Average Loss  0.871393, Time  0.308742
2021-09-11 04:04:04.709813 : Epoch  1, Batch   1788, Loss  0.861568, Average Loss  0.871262, Time  0.243074
2021-09-11 04:04:07.418279 : Epoch  1, Batch   1789, Loss  0.885305, Average Loss  0.871300, Time  0.320297
2021-09-11 04:04:10.177275 : Epoch  1, Batch   1790, Loss  0.863988, Average Loss  0.871290, Time  0.359958
2021-09-11 04:04:12.890044 : Epoch  1, Batch   1791, Loss  0.885283, Average Loss  0.871366, Time  0.308843
2021-09-11 04:04:15.646254 : Epoch  1, Batch   1792, Loss  0.880771, Average Loss  0.871443, Time  0.262539
2021-09-11 04:04:18.386503 : Epoch  1, Batch   1793, Loss  0.884753, Average Loss  0.871449, Time  0.271242
2021-09-11 04:04:21.129534 : Epoch  1, Batch   1794, Loss  0.870261, Average Loss  0.871441, Time  0.264299
2021-09-11 04:04:23.839434 : Epoch  1, Batch   1795, Loss  0.858526, Average Loss  0.871457, Time  0.245553
2021-09-11 04:04:26.498844 : Epoch  1, Batch   1796, Loss  0.872164, Average Loss  0.871474, Time  0.246094
2021-09-11 04:04:29.220145 : Epoch  1, Batch   1797, Loss  0.858612, Average Loss  0.871399, Time  0.264765
2021-09-11 04:04:31.871227 : Epoch  1, Batch   1798, Loss  0.896297, Average Loss  0.871515, Time  0.259494
2021-09-11 04:04:34.483223 : Epoch  1, Batch   1799, Loss  0.881167, Average Loss  0.871529, Time  0.238530
2021-09-11 04:04:37.157061 : Epoch  1, Batch   1800, Loss  0.897089, Average Loss  0.871548, Time  0.248722
2021-09-11 04:04:58.806886 : CheckPoint: Validation Loss  0.00022650, Best Loss  0.00022474
2021-09-11 04:05:00.335077 : Epoch  6, Batch    266, Loss  0.547908, Average Loss  0.554544, Time  0.232584
2021-09-11 04:05:01.977718 : Epoch  6, Batch    267, Loss  0.545484, Average Loss  0.554544, Time  0.233395
2021-09-11 04:05:03.527869 : Epoch  6, Batch    268, Loss  0.557264, Average Loss  0.554576, Time  0.234186
2021-09-11 04:05:05.063388 : Epoch  6, Batch    269, Loss  0.547403, Average Loss  0.554562, Time  0.232687
2021-09-11 04:05:06.731133 : Epoch  6, Batch    270, Loss  0.560834, Average Loss  0.554609, Time  0.251292
2021-09-11 04:05:08.254215 : Epoch  6, Batch    271, Loss  0.545876, Average Loss  0.554591, Time  0.253525
2021-09-11 04:05:09.818139 : Epoch  6, Batch    272, Loss  0.555410, Average Loss  0.554584, Time  0.258625
2021-09-11 04:05:11.495883 : Epoch  6, Batch    273, Loss  0.545597, Average Loss  0.554506, Time  0.251387
2021-09-11 04:05:13.133020 : Epoch  6, Batch    274, Loss  0.553030, Average Loss  0.554574, Time  0.250698
2021-09-11 04:05:14.798354 : Epoch  6, Batch    275, Loss  0.539132, Average Loss  0.554490, Time  0.251784
2021-09-11 04:05:16.466351 : Epoch  6, Batch    276, Loss  0.551351, Average Loss  0.554516, Time  0.251609
2021-09-11 04:05:18.141032 : Epoch  6, Batch    277, Loss  0.536345, Average Loss  0.554467, Time  0.252747
2021-09-11 04:05:19.687076 : Epoch  6, Batch    278, Loss  0.552439, Average Loss  0.554390, Time  0.232851
2021-09-11 04:05:21.203885 : Epoch  6, Batch    279, Loss  0.560849, Average Loss  0.554395, Time  0.232042
2021-09-11 04:05:22.718994 : Epoch  6, Batch    280, Loss  0.556806, Average Loss  0.554423, Time  0.232016
2021-09-11 04:05:24.242811 : Epoch  6, Batch    281, Loss  0.554527, Average Loss  0.554434, Time  0.232464
2021-09-11 04:05:25.786104 : Epoch  6, Batch    282, Loss  0.559124, Average Loss  0.554454, Time  0.233164
2021-09-11 04:05:27.296803 : Epoch  6, Batch    283, Loss  0.561225, Average Loss  0.554442, Time  0.232070
2021-09-11 04:05:28.839251 : Epoch  6, Batch    284, Loss  0.546262, Average Loss  0.554416, Time  0.234009
2021-09-11 04:05:30.357253 : Epoch  6, Batch    285, Loss  0.552529, Average Loss  0.554403, Time  0.231835
2021-09-11 04:05:31.866066 : Epoch  6, Batch    286, Loss  0.559806, Average Loss  0.554419, Time  0.232118
2021-09-11 04:05:33.581236 : Epoch  6, Batch    287, Loss  0.556653, Average Loss  0.554442, Time  0.286696
2021-09-11 04:05:35.182990 : Epoch  6, Batch    288, Loss  0.564309, Average Loss  0.554440, Time  0.232822
2021-09-11 04:05:36.689788 : Epoch  6, Batch    289, Loss  0.553582, Average Loss  0.554455, Time  0.232003
2021-09-11 04:05:38.292281 : Epoch  6, Batch    290, Loss  0.556548, Average Loss  0.554424, Time  0.314050
2021-09-11 04:05:39.815221 : Epoch  6, Batch    291, Loss  0.544196, Average Loss  0.554458, Time  0.232980
2021-09-11 04:05:41.467234 : Epoch  6, Batch    292, Loss  0.558297, Average Loss  0.554429, Time  0.232956
2021-09-11 04:05:43.065791 : Epoch  6, Batch    293, Loss  0.551845, Average Loss  0.554467, Time  0.313564
2021-09-11 04:05:44.612104 : Epoch  6, Batch    294, Loss  0.547221, Average Loss  0.554523, Time  0.233245
2021-09-11 04:05:46.125861 : Epoch  6, Batch    295, Loss  0.561558, Average Loss  0.554486, Time  0.232122
2021-09-11 04:05:47.640868 : Epoch  6, Batch    296, Loss  0.554129, Average Loss  0.554466, Time  0.231836
2021-09-11 04:05:49.158313 : Epoch  6, Batch    297, Loss  0.542689, Average Loss  0.554385, Time  0.232603
2021-09-11 04:05:50.670992 : Epoch  6, Batch    298, Loss  0.540710, Average Loss  0.554351, Time  0.231948
2021-09-11 04:05:52.184453 : Epoch  6, Batch    299, Loss  0.546136, Average Loss  0.554388, Time  0.231831
2021-09-11 04:05:53.719452 : Epoch  6, Batch    300, Loss  0.559868, Average Loss  0.554400, Time  0.233746
2021-09-11 04:05:55.319928 : Epoch  6, Batch    301, Loss  0.550878, Average Loss  0.554377, Time  0.309458
2021-09-11 04:05:56.835140 : Epoch  6, Batch    302, Loss  0.546628, Average Loss  0.554339, Time  0.232052
2021-09-11 04:05:58.355200 : Epoch  6, Batch    303, Loss  0.558743, Average Loss  0.554341, Time  0.232283
2021-09-11 04:06:00.118792 : Epoch  6, Batch    304, Loss  0.552959, Average Loss  0.554293, Time  0.332904
2021-09-11 04:06:01.683030 : Epoch  6, Batch    305, Loss  0.563053, Average Loss  0.554328, Time  0.232214
2021-09-11 04:06:03.221332 : Epoch  6, Batch    306, Loss  0.541397, Average Loss  0.554280, Time  0.232384
2021-09-11 04:06:04.746089 : Epoch  6, Batch    307, Loss  0.537373, Average Loss  0.554093, Time  0.236319
2021-09-11 04:06:06.290171 : Epoch  6, Batch    308, Loss  0.554411, Average Loss  0.554120, Time  0.233629
2021-09-11 04:06:07.834102 : Epoch  6, Batch    309, Loss  0.561810, Average Loss  0.554158, Time  0.233166
2021-09-11 04:06:09.398905 : Epoch  6, Batch    310, Loss  0.558245, Average Loss  0.554147, Time  0.248335
2021-09-11 04:06:10.931314 : Epoch  6, Batch    311, Loss  0.550820, Average Loss  0.554178, Time  0.232489
2021-09-11 04:06:12.458780 : Epoch  6, Batch    312, Loss  0.554377, Average Loss  0.554143, Time  0.232335
2021-09-11 04:06:13.973029 : Epoch  6, Batch    313, Loss  0.555105, Average Loss  0.554136, Time  0.231777
2021-09-11 04:06:15.486096 : Epoch  6, Batch    314, Loss  0.559490, Average Loss  0.554142, Time  0.232167
2021-09-11 04:06:17.096356 : Epoch  6, Batch    315, Loss  0.553939, Average Loss  0.554113, Time  0.314376
2021-09-11 04:06:18.682294 : Epoch  6, Batch    316, Loss  0.549016, Average Loss  0.553986, Time  0.232243
2021-09-11 04:06:20.189714 : Epoch  6, Batch    317, Loss  0.543101, Average Loss  0.553901, Time  0.231683
2021-09-11 04:06:21.726882 : Epoch  6, Batch    318, Loss  0.550587, Average Loss  0.553872, Time  0.232496
2021-09-11 04:06:23.253363 : Epoch  6, Batch    319, Loss  0.555841, Average Loss  0.553860, Time  0.232197
2021-09-11 04:06:24.776874 : Epoch  6, Batch    320, Loss  0.565270, Average Loss  0.553904, Time  0.233932
2021-09-11 04:06:26.305279 : Epoch  6, Batch    321, Loss  0.542643, Average Loss  0.553851, Time  0.233199
2021-09-11 04:06:27.984022 : Epoch  6, Batch    322, Loss  0.554322, Average Loss  0.553839, Time  0.252088
2021-09-11 04:06:29.668370 : Epoch  6, Batch    323, Loss  0.543922, Average Loss  0.553839, Time  0.252140
2021-09-11 04:06:31.359102 : Epoch  6, Batch    324, Loss  0.547070, Average Loss  0.553729, Time  0.252206
2021-09-11 04:06:31.792735 : CheckPoint: Validation Loss  0.00062160, Best Loss  0.00057296
2021-09-11 04:06:33.026220 : Epoch  6, Batch    325, Loss  0.545712, Average Loss  0.553700, Time  0.251207
2021-09-11 04:06:33.410082 : Epoch  3, Batch   2279, Loss  0.873869, Average Loss  0.867912, Time  0.177943
2021-09-11 04:06:34.702889 : Epoch  6, Batch    326, Loss  0.549841, Average Loss  0.553653, Time  0.253652
2021-09-11 04:06:35.030736 : Epoch  3, Batch   2280, Loss  0.887300, Average Loss  0.867988, Time  0.171765
2021-09-11 04:06:36.312337 : Epoch  6, Batch    327, Loss  0.553383, Average Loss  0.553697, Time  0.314409
2021-09-11 04:06:36.654008 : Epoch  3, Batch   2281, Loss  0.877775, Average Loss  0.868026, Time  0.172639
2021-09-11 04:06:37.842767 : Epoch  6, Batch    328, Loss  0.560720, Average Loss  0.553752, Time  0.231912
2021-09-11 04:06:38.282875 : Epoch  3, Batch   2282, Loss  0.894254, Average Loss  0.868220, Time  0.170491
2021-09-11 04:06:39.361814 : Epoch  6, Batch    329, Loss  0.556405, Average Loss  0.553755, Time  0.235639
2021-09-11 04:06:39.911024 : Epoch  3, Batch   2283, Loss  0.879313, Average Loss  0.868148, Time  0.170083
2021-09-11 04:06:40.903890 : Epoch  6, Batch    330, Loss  0.553365, Average Loss  0.553755, Time  0.232285
2021-09-11 04:06:41.554030 : Epoch  3, Batch   2284, Loss  0.855241, Average Loss  0.868110, Time  0.173976
2021-09-11 04:06:42.589121 : Epoch  6, Batch    331, Loss  0.551523, Average Loss  0.553716, Time  0.251994
2021-09-11 04:06:43.179776 : Epoch  3, Batch   2285, Loss  0.871808, Average Loss  0.868223, Time  0.170193
2021-09-11 04:06:44.196439 : Epoch  6, Batch    332, Loss  0.544429, Average Loss  0.553678, Time  0.231982
2021-09-11 04:06:44.795838 : Epoch  3, Batch   2286, Loss  0.867289, Average Loss  0.868389, Time  0.171578
2021-09-11 04:06:45.708825 : Epoch  6, Batch    333, Loss  0.563357, Average Loss  0.553739, Time  0.232894
2021-09-11 04:06:46.406013 : Epoch  3, Batch   2287, Loss  0.868796, Average Loss  0.868385, Time  0.174533
2021-09-11 04:06:47.230022 : Epoch  6, Batch    334, Loss  0.550997, Average Loss  0.553769, Time  0.232666
2021-09-11 04:06:48.017781 : Epoch  3, Batch   2288, Loss  0.870657, Average Loss  0.868619, Time  0.176289
2021-09-11 04:06:48.798949 : Epoch  6, Batch    335, Loss  0.554274, Average Loss  0.553780, Time  0.238791
2021-09-11 04:06:49.649033 : Epoch  3, Batch   2289, Loss  0.864767, Average Loss  0.868676, Time  0.170242
2021-09-11 04:06:51.331034 : Epoch  3, Batch   2290, Loss  0.888042, Average Loss  0.868663, Time  0.177962
2021-09-11 04:06:52.950767 : Epoch  3, Batch   2291, Loss  0.855747, Average Loss  0.868638, Time  0.169840
2021-09-11 04:06:52.952068 : Epoch  6, Batch    336, Loss  0.549621, Average Loss  0.553762, Time  0.233849
2021-09-11 04:06:54.500133 : Epoch  6, Batch    337, Loss  0.556163, Average Loss  0.553737, Time  0.231989
2021-09-11 04:06:54.555045 : Epoch  3, Batch   2292, Loss  0.881340, Average Loss  0.868807, Time  0.170048
2021-09-11 04:06:56.003391 : Epoch  6, Batch    338, Loss  0.556775, Average Loss  0.553744, Time  0.232298
2021-09-11 04:06:56.152016 : Epoch  3, Batch   2293, Loss  0.830354, Average Loss  0.868432, Time  0.173915
2021-09-11 04:06:57.525292 : Epoch  6, Batch    339, Loss  0.557536, Average Loss  0.553781, Time  0.232533
2021-09-11 04:06:57.846026 : Epoch  3, Batch   2294, Loss  0.862358, Average Loss  0.868528, Time  0.176657
2021-09-11 04:06:59.062029 : Epoch  6, Batch    340, Loss  0.558258, Average Loss  0.553804, Time  0.232733
2021-09-11 04:06:59.497034 : Epoch  3, Batch   2295, Loss  0.855378, Average Loss  0.868465, Time  0.176623
2021-09-11 04:07:00.583828 : Epoch  6, Batch    341, Loss  0.544020, Average Loss  0.553772, Time  0.233883
2021-09-11 04:07:01.130788 : Epoch  3, Batch   2296, Loss  0.873677, Average Loss  0.868469, Time  0.178174
2021-09-11 04:07:02.139997 : Epoch  6, Batch    342, Loss  0.557517, Average Loss  0.553716, Time  0.254142
2021-09-11 04:07:02.763869 : Epoch  3, Batch   2297, Loss  0.868575, Average Loss  0.868506, Time  0.175336
2021-09-11 04:07:03.651260 : Epoch  6, Batch    343, Loss  0.549246, Average Loss  0.553682, Time  0.232184
2021-09-11 04:07:04.393025 : Epoch  3, Batch   2298, Loss  0.875426, Average Loss  0.868416, Time  0.169915
2021-09-11 04:07:05.253287 : Epoch  6, Batch    344, Loss  0.550245, Average Loss  0.553654, Time  0.312937
2021-09-11 04:07:06.020835 : Epoch  3, Batch   2299, Loss  0.832521, Average Loss  0.868383, Time  0.180672
2021-09-11 04:07:06.773269 : Epoch  6, Batch    345, Loss  0.549706, Average Loss  0.553619, Time  0.232700
2021-09-11 04:07:07.643824 : Epoch  3, Batch   2300, Loss  0.870626, Average Loss  0.868357, Time  0.177727
2021-09-11 04:07:08.307922 : Epoch  6, Batch    346, Loss  0.550643, Average Loss  0.553574, Time  0.233043
2021-09-11 04:07:09.269037 : Epoch  3, Batch   2301, Loss  0.874175, Average Loss  0.868403, Time  0.173438
2021-09-11 04:07:09.852316 : Epoch  6, Batch    347, Loss  0.547802, Average Loss  0.553544, Time  0.235986
2021-09-11 04:07:10.905818 : Epoch  3, Batch   2302, Loss  0.860035, Average Loss  0.868340, Time  0.186213
2021-09-11 04:07:11.381470 : Epoch  6, Batch    348, Loss  0.553155, Average Loss  0.553510, Time  0.233324
2021-09-11 04:07:12.533032 : Epoch  3, Batch   2303, Loss  0.877142, Average Loss  0.868330, Time  0.171697
2021-09-11 04:07:12.919139 : Epoch  6, Batch    349, Loss  0.547159, Average Loss  0.553433, Time  0.232373
2021-09-11 04:07:14.163926 : Epoch  3, Batch   2304, Loss  0.890407, Average Loss  0.868174, Time  0.171303
2021-09-11 04:07:14.439407 : Epoch  6, Batch    350, Loss  0.565300, Average Loss  0.553478, Time  0.232038
2021-09-11 04:07:15.803802 : Epoch  3, Batch   2305, Loss  0.880483, Average Loss  0.868316, Time  0.169867
2021-09-11 04:07:15.954817 : Epoch  6, Batch    351, Loss  0.547175, Average Loss  0.553465, Time  0.232059
2021-09-11 04:07:17.414025 : Epoch  3, Batch   2306, Loss  0.878010, Average Loss  0.868369, Time  0.176897
2021-09-11 04:07:17.506428 : Epoch  6, Batch    352, Loss  0.559704, Average Loss  0.553530, Time  0.233069
2021-09-11 04:07:19.015773 : Epoch  3, Batch   2307, Loss  0.878966, Average Loss  0.868454, Time  0.169443
2021-09-11 04:07:19.025825 : Epoch  6, Batch    353, Loss  0.559206, Average Loss  0.553546, Time  0.231999
2021-09-11 04:07:20.575795 : Epoch  6, Batch    354, Loss  0.550844, Average Loss  0.553543, Time  0.231904
2021-09-11 04:07:20.638034 : Epoch  3, Batch   2308, Loss  0.863924, Average Loss  0.868301, Time  0.176133
2021-09-11 04:07:22.181374 : Epoch  6, Batch    355, Loss  0.559757, Average Loss  0.553633, Time  0.317232
2021-09-11 04:07:22.260030 : Epoch  3, Batch   2309, Loss  0.861624, Average Loss  0.868141, Time  0.172108
2021-09-11 04:07:23.734840 : Epoch  6, Batch    356, Loss  0.554411, Average Loss  0.553635, Time  0.232035
2021-09-11 04:07:23.895852 : Epoch  3, Batch   2310, Loss  0.878020, Average Loss  0.868110, Time  0.179770
2021-09-11 04:07:25.239187 : Epoch  6, Batch    357, Loss  0.534568, Average Loss  0.553486, Time  0.232158
2021-09-11 04:07:25.524029 : Epoch  3, Batch   2311, Loss  0.861723, Average Loss  0.868086, Time  0.173381
2021-09-11 04:07:26.766246 : Epoch  6, Batch    358, Loss  0.556616, Average Loss  0.553477, Time  0.233181
2021-09-11 04:07:27.142767 : Epoch  3, Batch   2312, Loss  0.854297, Average Loss  0.868025, Time  0.170096
2021-09-11 04:07:28.285834 : Epoch  6, Batch    359, Loss  0.563670, Average Loss  0.553571, Time  0.231849
2021-09-11 04:07:28.779032 : Epoch  3, Batch   2313, Loss  0.855232, Average Loss  0.867943, Time  0.173642
2021-09-11 04:07:29.803810 : Epoch  6, Batch    360, Loss  0.554998, Average Loss  0.553596, Time  0.231939
2021-09-11 04:07:30.417783 : Epoch  3, Batch   2314, Loss  0.863139, Average Loss  0.867898, Time  0.180510
2021-09-11 04:07:31.338929 : Epoch  6, Batch    361, Loss  0.557667, Average Loss  0.553618, Time  0.232469
2021-09-11 04:07:32.064297 : Epoch  3, Batch   2315, Loss  0.863904, Average Loss  0.867866, Time  0.169808
2021-09-11 04:07:32.855006 : Epoch  6, Batch    362, Loss  0.553002, Average Loss  0.553693, Time  0.232137
2021-09-11 04:07:33.735035 : Epoch  3, Batch   2316, Loss  0.897426, Average Loss  0.867986, Time  0.179559
2021-09-11 04:07:34.380262 : Epoch  6, Batch    363, Loss  0.555238, Average Loss  0.553732, Time  0.231905
2021-09-11 04:07:35.364770 : Epoch  3, Batch   2317, Loss  0.888863, Average Loss  0.867991, Time  0.169656
2021-09-11 04:07:35.920908 : Epoch  6, Batch    364, Loss  0.559148, Average Loss  0.553734, Time  0.233350
2021-09-11 04:07:37.003036 : Epoch  3, Batch   2318, Loss  0.870536, Average Loss  0.868165, Time  0.170144
2021-09-11 04:07:37.446121 : Epoch  6, Batch    365, Loss  0.542057, Average Loss  0.553705, Time  0.232146
2021-09-11 04:07:38.658917 : Epoch  3, Batch   2319, Loss  0.901322, Average Loss  0.868392, Time  0.171980
2021-09-11 04:07:40.276792 : Epoch  3, Batch   2320, Loss  0.858112, Average Loss  0.868360, Time  0.169720
2021-09-11 04:07:41.925038 : Epoch  3, Batch   2321, Loss  0.864310, Average Loss  0.868366, Time  0.179073
2021-09-11 04:07:43.577854 : Epoch  3, Batch   2322, Loss  0.834872, Average Loss  0.868147, Time  0.175981
2021-09-11 04:07:45.226040 : Epoch  3, Batch   2323, Loss  0.857108, Average Loss  0.868115, Time  0.175101
2021-09-11 04:07:46.881033 : Epoch  3, Batch   2324, Loss  0.870783, Average Loss  0.868108, Time  0.179869
2021-09-11 04:07:48.508897 : Epoch  3, Batch   2325, Loss  0.852231, Average Loss  0.867924, Time  0.173566
2021-09-11 04:07:50.148906 : Epoch  3, Batch   2326, Loss  0.854271, Average Loss  0.867794, Time  0.170165
2021-09-11 04:07:51.783752 : Epoch  3, Batch   2327, Loss  0.887241, Average Loss  0.867814, Time  0.170891
2021-09-11 04:07:53.401031 : Epoch  3, Batch   2328, Loss  0.857859, Average Loss  0.867766, Time  0.176274
2021-09-11 04:07:55.021761 : Epoch  3, Batch   2329, Loss  0.876309, Average Loss  0.867705, Time  0.175287
2021-09-11 04:07:56.649031 : Epoch  3, Batch   2330, Loss  0.849071, Average Loss  0.867495, Time  0.177582
2021-09-11 04:07:58.273753 : Epoch  3, Batch   2331, Loss  0.871948, Average Loss  0.867588, Time  0.170100
2021-09-11 04:07:59.910033 : Epoch  3, Batch   2332, Loss  0.876586, Average Loss  0.867480, Time  0.171592
2021-09-11 04:08:01.533759 : Epoch  3, Batch   2333, Loss  0.867346, Average Loss  0.867400, Time  0.170570
2021-09-11 04:08:03.159738 : Epoch  3, Batch   2334, Loss  0.891914, Average Loss  0.867455, Time  0.179676
2021-09-11 04:08:04.781780 : Epoch  3, Batch   2335, Loss  0.882206, Average Loss  0.867411, Time  0.178926
2021-09-11 04:08:06.387031 : Epoch  3, Batch   2336, Loss  0.862434, Average Loss  0.867249, Time  0.175454
2021-09-11 04:08:08.006843 : Epoch  3, Batch   2337, Loss  0.890208, Average Loss  0.867344, Time  0.169758
2021-09-11 04:08:09.632028 : Epoch  3, Batch   2338, Loss  0.823115, Average Loss  0.867096, Time  0.171020
2021-09-11 04:08:11.291818 : Epoch  3, Batch   2339, Loss  0.884067, Average Loss  0.867295, Time  0.170091
2021-09-11 04:08:12.912302 : Epoch  3, Batch   2340, Loss  0.858043, Average Loss  0.867238, Time  0.182950
2021-09-11 04:08:14.535947 : Epoch  3, Batch   2341, Loss  0.865411, Average Loss  0.867115, Time  0.175147
2021-09-11 04:08:16.155261 : Epoch  3, Batch   2342, Loss  0.899805, Average Loss  0.867309, Time  0.172141
2021-09-11 04:08:17.781876 : Epoch  3, Batch   2343, Loss  0.875149, Average Loss  0.867451, Time  0.174047
2021-09-11 04:08:19.390192 : Epoch  3, Batch   2344, Loss  0.872953, Average Loss  0.867474, Time  0.180217
2021-09-11 04:08:21.040824 : Epoch  3, Batch   2345, Loss  0.899506, Average Loss  0.867639, Time  0.174694
2021-09-11 04:08:22.677917 : Epoch  3, Batch   2346, Loss  0.844131, Average Loss  0.867547, Time  0.174810
2021-09-11 04:08:24.287964 : Epoch  3, Batch   2347, Loss  0.840711, Average Loss  0.867510, Time  0.171069
2021-09-11 04:08:25.899919 : Epoch  3, Batch   2348, Loss  0.851581, Average Loss  0.867240, Time  0.173769
2021-09-11 04:08:27.520062 : Epoch  3, Batch   2349, Loss  0.857301, Average Loss  0.867309, Time  0.170372
2021-09-11 04:08:29.141802 : Epoch  3, Batch   2350, Loss  0.868306, Average Loss  0.867364, Time  0.177751
2021-09-11 04:08:30.746041 : Epoch  3, Batch   2351, Loss  0.867139, Average Loss  0.867371, Time  0.174069
2021-09-11 04:08:32.422021 : Epoch  3, Batch   2352, Loss  0.849993, Average Loss  0.867372, Time  0.182355
2021-09-11 04:08:33.867713 : CheckPoint: Validation Loss  0.00022654, Best Loss  0.00022474
2021-09-11 04:08:34.036031 : Epoch  3, Batch   2353, Loss  0.857130, Average Loss  0.867333, Time  0.169777
2021-09-11 04:08:35.387217 : Epoch  6, Batch    366, Loss  0.551896, Average Loss  0.553687, Time  0.232228
2021-09-11 04:08:35.670027 : Epoch  3, Batch   2354, Loss  0.871805, Average Loss  0.867406, Time  0.178383
2021-09-11 04:08:36.993881 : Epoch  6, Batch    367, Loss  0.549652, Average Loss  0.553598, Time  0.317441
2021-09-11 04:08:37.291022 : Epoch  3, Batch   2355, Loss  0.866399, Average Loss  0.867466, Time  0.170364
2021-09-11 04:08:38.511806 : Epoch  6, Batch    368, Loss  0.561713, Average Loss  0.553662, Time  0.232054
2021-09-11 04:08:38.896197 : Epoch  3, Batch   2356, Loss  0.844063, Average Loss  0.867409, Time  0.170068
2021-09-11 04:08:40.185281 : Epoch  6, Batch    369, Loss  0.556027, Average Loss  0.553687, Time  0.234429
2021-09-11 04:08:40.496436 : Epoch  3, Batch   2357, Loss  0.858747, Average Loss  0.867358, Time  0.170375
2021-09-11 04:08:41.924776 : Epoch  6, Batch    370, Loss  0.549741, Average Loss  0.553713, Time  0.330748
2021-09-11 04:08:42.110799 : Epoch  3, Batch   2358, Loss  0.855379, Average Loss  0.867300, Time  0.172925
2021-09-11 04:08:43.316708 : CheckPoint: Validation Loss  0.00029547, Best Loss  0.00029547
2021-09-11 04:08:43.367556 : Best Model Updated
2021-09-11 04:08:43.594291 : Epoch  6, Batch    371, Loss  0.579884, Average Loss  0.553787, Time  0.255187
2021-09-11 04:08:43.754036 : Epoch  3, Batch   2359, Loss  0.868391, Average Loss  0.867138, Time  0.171099
2021-09-11 04:08:45.287321 : Epoch  6, Batch    372, Loss  0.560802, Average Loss  0.553865, Time  0.252577
2021-09-11 04:08:45.383802 : Epoch  3, Batch   2360, Loss  0.860378, Average Loss  0.867234, Time  0.173069
2021-09-11 04:08:47.025028 : Epoch  3, Batch   2361, Loss  0.899522, Average Loss  0.867460, Time  0.171379
2021-09-11 04:08:47.091353 : Epoch  6, Batch    373, Loss  0.554224, Average Loss  0.553916, Time  0.379520
2021-09-11 04:08:47.163190 : Epoch  1, Batch   1801, Loss  0.876022, Average Loss  0.871532, Time  0.312727
2021-09-11 04:08:48.635032 : Epoch  3, Batch   2362, Loss  0.869445, Average Loss  0.867484, Time  0.170413
2021-09-11 04:08:48.794897 : Epoch  6, Batch    374, Loss  0.565448, Average Loss  0.553903, Time  0.251670
2021-09-11 04:08:49.793158 : Epoch  1, Batch   1802, Loss  0.889618, Average Loss  0.871586, Time  0.241546
2021-09-11 04:08:50.265745 : Epoch  3, Batch   2363, Loss  0.888923, Average Loss  0.867601, Time  0.176006
2021-09-11 04:08:50.469088 : Epoch  6, Batch    375, Loss  0.551197, Average Loss  0.553944, Time  0.251901
2021-09-11 04:08:51.946034 : Epoch  3, Batch   2364, Loss  0.869517, Average Loss  0.867538, Time  0.234359
2021-09-11 04:08:52.003917 : Epoch  6, Batch    376, Loss  0.561396, Average Loss  0.553940, Time  0.231647
2021-09-11 04:08:52.451856 : Epoch  1, Batch   1803, Loss  0.868020, Average Loss  0.871555, Time  0.242463
2021-09-11 04:08:53.500875 : Epoch  6, Batch    377, Loss  0.563290, Average Loss  0.553969, Time  0.232239
2021-09-11 04:08:53.551999 : Epoch  3, Batch   2365, Loss  0.866152, Average Loss  0.867375, Time  0.169621
2021-09-11 04:08:55.189994 : Epoch  3, Batch   2366, Loss  0.909208, Average Loss  0.867842, Time  0.169484
2021-09-11 04:08:55.323911 : Epoch  1, Batch   1804, Loss  0.865143, Average Loss  0.871457, Time  0.438040
2021-09-11 04:08:55.370869 : Epoch  6, Batch    378, Loss  0.536662, Average Loss  0.553871, Time  0.390371
2021-09-11 04:08:56.817741 : Epoch  3, Batch   2367, Loss  0.868929, Average Loss  0.867796, Time  0.169432
2021-09-11 04:08:57.030839 : Epoch  6, Batch    379, Loss  0.554288, Average Loss  0.553857, Time  0.251436
2021-09-11 04:08:57.977849 : Epoch  1, Batch   1805, Loss  0.870678, Average Loss  0.871449, Time  0.244324
2021-09-11 04:08:58.448001 : Epoch  3, Batch   2368, Loss  0.862678, Average Loss  0.867677, Time  0.169792
2021-09-11 04:08:58.590550 : Epoch  6, Batch    380, Loss  0.561823, Average Loss  0.553931, Time  0.251110
2021-09-11 04:09:00.087831 : Epoch  3, Batch   2369, Loss  0.872323, Average Loss  0.867705, Time  0.171169
2021-09-11 04:09:00.109021 : Epoch  6, Batch    381, Loss  0.556520, Average Loss  0.553905, Time  0.232440
2021-09-11 04:09:00.621348 : Epoch  1, Batch   1806, Loss  0.862207, Average Loss  0.871406, Time  0.241658
2021-09-11 04:09:01.715855 : Epoch  3, Batch   2370, Loss  0.867940, Average Loss  0.867622, Time  0.169877
2021-09-11 04:09:01.776781 : Epoch  6, Batch    382, Loss  0.562656, Average Loss  0.553924, Time  0.251277
2021-09-11 04:09:03.329038 : Epoch  3, Batch   2371, Loss  0.874380, Average Loss  0.867687, Time  0.169981
2021-09-11 04:09:03.409207 : Epoch  1, Batch   1807, Loss  0.889287, Average Loss  0.871543, Time  0.386734
2021-09-11 04:09:03.513564 : Epoch  6, Batch    383, Loss  0.535524, Average Loss  0.553817, Time  0.317973
2021-09-11 04:09:04.944815 : Epoch  3, Batch   2372, Loss  0.867819, Average Loss  0.867628, Time  0.174250
2021-09-11 04:09:05.240954 : Epoch  6, Batch    384, Loss  0.546941, Average Loss  0.553762, Time  0.252504
2021-09-11 04:09:06.063256 : Epoch  1, Batch   1808, Loss  0.875158, Average Loss  0.871641, Time  0.241804
2021-09-11 04:09:06.582031 : Epoch  3, Batch   2373, Loss  0.853001, Average Loss  0.867490, Time  0.178275
2021-09-11 04:09:06.914120 : Epoch  6, Batch    385, Loss  0.555470, Average Loss  0.553743, Time  0.252896
2021-09-11 04:09:08.205767 : Epoch  3, Batch   2374, Loss  0.900001, Average Loss  0.867637, Time  0.172007
2021-09-11 04:09:08.432254 : Epoch  6, Batch    386, Loss  0.557493, Average Loss  0.553759, Time  0.235352
2021-09-11 04:09:08.711971 : Epoch  1, Batch   1809, Loss  0.857502, Average Loss  0.871588, Time  0.244893
2021-09-11 04:09:09.833033 : Epoch  3, Batch   2375, Loss  0.886137, Average Loss  0.867700, Time  0.176318
2021-09-11 04:09:09.964744 : Epoch  6, Batch    387, Loss  0.552306, Average Loss  0.553709, Time  0.232685
2021-09-11 04:09:11.451815 : Epoch  3, Batch   2376, Loss  0.859252, Average Loss  0.867740, Time  0.174396
2021-09-11 04:09:11.482125 : Epoch  1, Batch   1810, Loss  0.853598, Average Loss  0.871512, Time  0.358335
2021-09-11 04:09:11.573253 : Epoch  6, Batch    388, Loss  0.561157, Average Loss  0.553724, Time  0.294265
2021-09-11 04:09:13.075800 : Epoch  3, Batch   2377, Loss  0.863639, Average Loss  0.867712, Time  0.170608
2021-09-11 04:09:13.099264 : Epoch  6, Batch    389, Loss  0.549637, Average Loss  0.553654, Time  0.232136
2021-09-11 04:09:14.118763 : Epoch  1, Batch   1811, Loss  0.871017, Average Loss  0.871500, Time  0.243627
2021-09-11 04:09:14.630839 : Epoch  6, Batch    390, Loss  0.563829, Average Loss  0.553740, Time  0.232094
2021-09-11 04:09:14.719793 : Epoch  3, Batch   2378, Loss  0.901212, Average Loss  0.867830, Time  0.170162
2021-09-11 04:09:16.145795 : Epoch  6, Batch    391, Loss  0.548788, Average Loss  0.553701, Time  0.233504
2021-09-11 04:09:16.761497 : Epoch  1, Batch   1812, Loss  0.870330, Average Loss  0.871577, Time  0.247052
2021-09-11 04:09:17.657004 : Epoch  6, Batch    392, Loss  0.542637, Average Loss  0.553691, Time  0.231874
2021-09-11 04:09:19.182310 : Epoch  6, Batch    393, Loss  0.547359, Average Loss  0.553711, Time  0.237359
2021-09-11 04:09:19.420291 : Epoch  1, Batch   1813, Loss  0.872550, Average Loss  0.871564, Time  0.239162
2021-09-11 04:09:20.728153 : Epoch  6, Batch    394, Loss  0.551539, Average Loss  0.553766, Time  0.235378
2021-09-11 04:09:22.063326 : Epoch  1, Batch   1814, Loss  0.881814, Average Loss  0.871587, Time  0.239882
2021-09-11 04:09:22.265133 : Epoch  6, Batch    395, Loss  0.551859, Average Loss  0.553722, Time  0.240726
2021-09-11 04:09:23.786079 : Epoch  6, Batch    396, Loss  0.538699, Average Loss  0.553693, Time  0.231842
2021-09-11 04:09:24.707460 : Epoch  1, Batch   1815, Loss  0.867623, Average Loss  0.871558, Time  0.243295
2021-09-11 04:09:25.470862 : Epoch  6, Batch    397, Loss  0.565831, Average Loss  0.553764, Time  0.252338
2021-09-11 04:09:27.131834 : Epoch  6, Batch    398, Loss  0.560686, Average Loss  0.553791, Time  0.251517
2021-09-11 04:09:27.369770 : Epoch  1, Batch   1816, Loss  0.867312, Average Loss  0.871508, Time  0.264369
2021-09-11 04:09:28.702471 : Epoch  6, Batch    399, Loss  0.547960, Average Loss  0.553757, Time  0.232689
2021-09-11 04:09:30.030115 : Epoch  1, Batch   1817, Loss  0.870394, Average Loss  0.871557, Time  0.249888
2021-09-11 04:09:30.414865 : Epoch  6, Batch    400, Loss  0.557406, Average Loss  0.553833, Time  0.255174
2021-09-11 04:09:32.085990 : Epoch  6, Batch    401, Loss  0.559818, Average Loss  0.553856, Time  0.251290
2021-09-11 04:09:32.687422 : Epoch  1, Batch   1818, Loss  0.904415, Average Loss  0.871653, Time  0.242142
2021-09-11 04:09:33.763283 : Epoch  6, Batch    402, Loss  0.553677, Average Loss  0.553867, Time  0.251124
2021-09-11 04:09:35.482820 : Epoch  1, Batch   1819, Loss  0.885276, Average Loss  0.871650, Time  0.407934
2021-09-11 04:09:35.537487 : Epoch  6, Batch    403, Loss  0.559591, Average Loss  0.553908, Time  0.353197
2021-09-11 04:09:37.067500 : Epoch  6, Batch    404, Loss  0.554976, Average Loss  0.553938, Time  0.239003
2021-09-11 04:09:38.111355 : Epoch  1, Batch   1820, Loss  0.873022, Average Loss  0.871710, Time  0.239049
2021-09-11 04:09:38.596302 : Epoch  6, Batch    405, Loss  0.556756, Average Loss  0.553941, Time  0.251004
2021-09-11 04:09:40.136865 : Epoch  6, Batch    406, Loss  0.558017, Average Loss  0.553999, Time  0.252004
2021-09-11 04:09:40.755078 : Epoch  1, Batch   1821, Loss  0.865825, Average Loss  0.871663, Time  0.248256
2021-09-11 04:09:41.833290 : Epoch  6, Batch    407, Loss  0.554198, Average Loss  0.553955, Time  0.252465
2021-09-11 04:09:43.637023 : Epoch  1, Batch   1822, Loss  0.885270, Average Loss  0.871705, Time  0.443746
2021-09-11 04:09:43.692009 : Epoch  6, Batch    408, Loss  0.568583, Average Loss  0.554006, Time  0.392655
2021-09-11 04:09:45.347277 : Epoch  6, Batch    409, Loss  0.551719, Average Loss  0.553937, Time  0.251311
2021-09-11 04:09:46.271937 : Epoch  1, Batch   1823, Loss  0.876399, Average Loss  0.871820, Time  0.239115
2021-09-11 04:09:47.037617 : Epoch  6, Batch    410, Loss  0.552153, Average Loss  0.554008, Time  0.251574
2021-09-11 04:09:48.553928 : Epoch  6, Batch    411, Loss  0.552345, Average Loss  0.554015, Time  0.232721
2021-09-11 04:09:48.909131 : Epoch  1, Batch   1824, Loss  0.875475, Average Loss  0.871906, Time  0.242136
2021-09-11 04:09:50.242836 : Epoch  6, Batch    412, Loss  0.560402, Average Loss  0.554045, Time  0.251433
2021-09-11 04:09:51.552069 : Epoch  1, Batch   1825, Loss  0.881551, Average Loss  0.872043, Time  0.240438
2021-09-11 04:09:51.921314 : Epoch  6, Batch    413, Loss  0.550698, Average Loss  0.553990, Time  0.255805
2021-09-11 04:09:53.601187 : Epoch  6, Batch    414, Loss  0.559305, Average Loss  0.554020, Time  0.252087
2021-09-11 04:09:54.199862 : Epoch  1, Batch   1826, Loss  0.878714, Average Loss  0.871989, Time  0.240301
2021-09-11 04:09:55.123011 : Epoch  6, Batch    415, Loss  0.552773, Average Loss  0.554053, Time  0.232857
2021-09-11 04:09:56.635377 : Epoch  6, Batch    416, Loss  0.547024, Average Loss  0.553989, Time  0.231882
2021-09-11 04:09:56.854912 : Epoch  1, Batch   1827, Loss  0.870302, Average Loss  0.871932, Time  0.251901
2021-09-11 04:09:58.147307 : Epoch  6, Batch    417, Loss  0.540810, Average Loss  0.553905, Time  0.232566
2021-09-11 04:09:59.576141 : Epoch  1, Batch   1828, Loss  0.875090, Average Loss  0.871845, Time  0.326163
2021-09-11 04:09:59.701249 : Epoch  6, Batch    418, Loss  0.547363, Average Loss  0.553819, Time  0.269150
2021-09-11 04:10:01.216896 : Epoch  6, Batch    419, Loss  0.546233, Average Loss  0.553830, Time  0.235245
2021-09-11 04:10:02.204100 : Epoch  1, Batch   1829, Loss  0.880264, Average Loss  0.871977, Time  0.238882
2021-09-11 04:10:02.782772 : Epoch  6, Batch    420, Loss  0.553358, Average Loss  0.553804, Time  0.233623
2021-09-11 04:10:04.312813 : Epoch  6, Batch    421, Loss  0.543292, Average Loss  0.553666, Time  0.232242
2021-09-11 04:10:04.861233 : Epoch  1, Batch   1830, Loss  0.869866, Average Loss  0.871957, Time  0.260765
2021-09-11 04:10:05.846944 : Epoch  6, Batch    422, Loss  0.548868, Average Loss  0.553649, Time  0.235985
2021-09-11 04:10:07.361338 : Epoch  6, Batch    423, Loss  0.537543, Average Loss  0.553488, Time  0.232368
2021-09-11 04:10:07.630816 : Epoch  1, Batch   1831, Loss  0.861657, Average Loss  0.871868, Time  0.267982
2021-09-11 04:10:08.881740 : Epoch  6, Batch    424, Loss  0.555934, Average Loss  0.553480, Time  0.231920
2021-09-11 04:10:10.551237 : Epoch  6, Batch    425, Loss  0.562060, Average Loss  0.553582, Time  0.392410
2021-09-11 04:10:10.601952 : Epoch  1, Batch   1832, Loss  0.853731, Average Loss  0.871720, Time  0.467412
2021-09-11 04:10:12.097364 : Epoch  6, Batch    426, Loss  0.550623, Average Loss  0.553547, Time  0.233536
2021-09-11 04:10:13.341866 : Epoch  1, Batch   1833, Loss  0.866826, Average Loss  0.871673, Time  0.259812
2021-09-11 04:10:13.626865 : Epoch  6, Batch    427, Loss  0.565001, Average Loss  0.553539, Time  0.232672
2021-09-11 04:10:15.304530 : Epoch  6, Batch    428, Loss  0.538388, Average Loss  0.553456, Time  0.251692
2021-09-11 04:10:15.976295 : Epoch  1, Batch   1834, Loss  0.887177, Average Loss  0.871768, Time  0.242849
2021-09-11 04:10:16.976862 : Epoch  6, Batch    429, Loss  0.573123, Average Loss  0.553477, Time  0.251787
2021-09-11 04:10:18.654751 : Epoch  6, Batch    430, Loss  0.541887, Average Loss  0.553392, Time  0.397873
2021-09-11 04:10:18.713420 : Epoch  1, Batch   1835, Loss  0.836891, Average Loss  0.871701, Time  0.349509
2021-09-11 04:10:20.155817 : Epoch  6, Batch    431, Loss  0.548889, Average Loss  0.553310, Time  0.232390
2021-09-11 04:10:21.346109 : Epoch  1, Batch   1836, Loss  0.856138, Average Loss  0.871602, Time  0.243107
2021-09-11 04:10:21.844217 : Epoch  6, Batch    432, Loss  0.553740, Average Loss  0.553343, Time  0.253493
2021-09-11 04:10:23.513812 : Epoch  6, Batch    433, Loss  0.544711, Average Loss  0.553310, Time  0.251225
2021-09-11 04:10:23.981939 : Epoch  1, Batch   1837, Loss  0.856006, Average Loss  0.871566, Time  0.240990
2021-09-11 04:10:25.052327 : Epoch  6, Batch    434, Loss  0.547161, Average Loss  0.553262, Time  0.232036
2021-09-11 04:10:25.196056 : Epoch  6, Batch    435, Loss  0.619403, Average Loss  0.553548, Time  0.091557
2021-09-11 04:10:26.780447 : Epoch  1, Batch   1838, Loss  0.867496, Average Loss  0.871600, Time  0.407989
2021-09-11 04:10:26.827356 : Epoch  6, Batch    436, Loss  0.568829, Average Loss  0.553692, Time  0.339060
2021-09-11 04:10:29.424954 : Epoch  1, Batch   1839, Loss  0.868437, Average Loss  0.871594, Time  0.249115
2021-09-11 04:10:30.687072 : Epoch  6, Batch    437, Loss  0.595340, Average Loss  0.553876, Time  0.232653
2021-09-11 04:10:32.277216 : Epoch  1, Batch   1840, Loss  0.869364, Average Loss  0.871550, Time  0.451666
2021-09-11 04:10:32.324448 : Epoch  6, Batch    438, Loss  0.589737, Average Loss  0.554101, Time  0.295980
2021-09-11 04:10:33.828228 : Epoch  6, Batch    439, Loss  0.576109, Average Loss  0.554158, Time  0.232134
2021-09-11 04:10:34.907206 : Epoch  1, Batch   1841, Loss  0.874725, Average Loss  0.871645, Time  0.240831
2021-09-11 04:10:35.331288 : Epoch  6, Batch    440, Loss  0.576975, Average Loss  0.554229, Time  0.232312
2021-09-11 04:10:36.845918 : Epoch  6, Batch    441, Loss  0.574982, Average Loss  0.554370, Time  0.232591
2021-09-11 04:10:37.548959 : Epoch  1, Batch   1842, Loss  0.874626, Average Loss  0.871620, Time  0.242437
2021-09-11 04:10:38.363076 : Epoch  6, Batch    442, Loss  0.584256, Average Loss  0.554450, Time  0.232096
2021-09-11 04:10:39.886997 : Epoch  6, Batch    443, Loss  0.566261, Average Loss  0.554558, Time  0.231987
2021-09-11 04:10:40.184386 : Epoch  1, Batch   1843, Loss  0.862849, Average Loss  0.871626, Time  0.241616
2021-09-11 04:10:41.436951 : Epoch  6, Batch    444, Loss  0.574074, Average Loss  0.554666, Time  0.233256
2021-09-11 04:10:42.953432 : Epoch  1, Batch   1844, Loss  0.881073, Average Loss  0.871688, Time  0.374584
2021-09-11 04:10:43.029984 : Epoch  6, Batch    445, Loss  0.559898, Average Loss  0.554754, Time  0.304464
2021-09-11 04:10:44.571847 : Epoch  6, Batch    446, Loss  0.559486, Average Loss  0.554788, Time  0.231820
2021-09-11 04:10:45.598174 : Epoch  1, Batch   1845, Loss  0.864814, Average Loss  0.871675, Time  0.241905
2021-09-11 04:10:46.079335 : Epoch  6, Batch    447, Loss  0.571222, Average Loss  0.554893, Time  0.232169
2021-09-11 04:10:47.600160 : Epoch  6, Batch    448, Loss  0.548947, Average Loss  0.554859, Time  0.231689
2021-09-11 04:10:48.274111 : Epoch  1, Batch   1846, Loss  0.863584, Average Loss  0.871668, Time  0.245368
2021-09-11 04:10:49.115241 : Epoch  6, Batch    449, Loss  0.557068, Average Loss  0.554872, Time  0.231834
2021-09-11 04:10:50.653331 : Epoch  6, Batch    450, Loss  0.541654, Average Loss  0.554776, Time  0.235492
2021-09-11 04:10:50.927461 : Epoch  1, Batch   1847, Loss  0.879875, Average Loss  0.871688, Time  0.242631
2021-09-11 04:10:52.165261 : Epoch  6, Batch    451, Loss  0.559153, Average Loss  0.554779, Time  0.231871
2021-09-11 04:10:53.731818 : Epoch  1, Batch   1848, Loss  0.871661, Average Loss  0.871745, Time  0.400829
2021-09-11 04:10:53.781190 : Epoch  6, Batch    452, Loss  0.563569, Average Loss  0.554835, Time  0.334222
2021-09-11 04:10:55.309844 : Epoch  6, Batch    453, Loss  0.552619, Average Loss  0.554837, Time  0.234377
2021-09-11 04:10:56.410224 : Epoch  1, Batch   1849, Loss  0.879227, Average Loss  0.871831, Time  0.242445
2021-09-11 04:10:56.898062 : Epoch  6, Batch    454, Loss  0.563191, Average Loss  0.554899, Time  0.234005
2021-09-11 04:10:58.422246 : Epoch  6, Batch    455, Loss  0.558178, Average Loss  0.554921, Time  0.234329
2021-09-11 04:10:59.079415 : Epoch  1, Batch   1850, Loss  0.882075, Average Loss  0.871923, Time  0.240155
2021-09-11 04:10:59.932366 : Epoch  6, Batch    456, Loss  0.562773, Average Loss  0.554960, Time  0.231951
2021-09-11 04:11:01.471722 : Epoch  6, Batch    457, Loss  0.577941, Average Loss  0.555042, Time  0.232399
2021-09-11 04:11:01.734463 : Epoch  1, Batch   1851, Loss  0.858911, Average Loss  0.871872, Time  0.261616
2021-09-11 04:11:02.999858 : Epoch  6, Batch    458, Loss  0.559472, Average Loss  0.555071, Time  0.231824
2021-09-11 04:11:04.680079 : Epoch  6, Batch    459, Loss  0.546763, Average Loss  0.555016, Time  0.407333
2021-09-11 04:11:04.726553 : Epoch  1, Batch   1852, Loss  0.870955, Average Loss  0.871818, Time  0.471518
2021-09-11 04:11:06.221282 : Epoch  6, Batch    460, Loss  0.539203, Average Loss  0.554956, Time  0.233505
2021-09-11 04:11:07.463853 : Epoch  1, Batch   1853, Loss  0.854868, Average Loss  0.871744, Time  0.259981
2021-09-11 04:11:07.746643 : Epoch  6, Batch    461, Loss  0.555156, Average Loss  0.554957, Time  0.232315
2021-09-11 04:11:09.284753 : Epoch  6, Batch    462, Loss  0.553965, Average Loss  0.554931, Time  0.236249
2021-09-11 04:11:10.131926 : Epoch  1, Batch   1854, Loss  0.880948, Average Loss  0.871751, Time  0.275043
2021-09-11 04:11:10.825354 : Epoch  6, Batch    463, Loss  0.562148, Average Loss  0.554991, Time  0.232318
2021-09-11 04:11:12.345079 : Epoch  6, Batch    464, Loss  0.550479, Average Loss  0.555010, Time  0.231928
2021-09-11 04:11:12.847029 : Epoch  1, Batch   1855, Loss  0.868893, Average Loss  0.871785, Time  0.259480
2021-09-11 04:11:13.858255 : Epoch  6, Batch    465, Loss  0.565244, Average Loss  0.555003, Time  0.234331
2021-09-11 04:11:15.586511 : Epoch  1, Batch   1856, Loss  0.860083, Average Loss  0.871638, Time  0.264829
2021-09-11 04:11:15.638650 : Saving Model after 1-th Epoch.
2021-09-11 04:11:16.518718 : Epoch Finished.
2021-09-11 04:11:26.218708 : Batch Shuffled
2021-09-11 04:11:28.851504 : Epoch  2, Batch      1, Loss  0.875902, Average Loss  0.871690, Time  0.245821
2021-09-11 04:11:31.503909 : Epoch  2, Batch      2, Loss  0.877605, Average Loss  0.871756, Time  0.259314
2021-09-11 04:11:34.140830 : Epoch  2, Batch      3, Loss  0.885701, Average Loss  0.871899, Time  0.243454
2021-09-11 04:11:36.768926 : Epoch  2, Batch      4, Loss  0.876691, Average Loss  0.871896, Time  0.244162
2021-09-11 04:11:39.404426 : Epoch  2, Batch      5, Loss  0.879199, Average Loss  0.871922, Time  0.241744
2021-09-11 04:11:42.037399 : Epoch  2, Batch      6, Loss  0.883463, Average Loss  0.871989, Time  0.242140
2021-09-11 04:11:44.646398 : Epoch  2, Batch      7, Loss  0.873367, Average Loss  0.872008, Time  0.240670
2021-09-11 04:11:47.267471 : Epoch  2, Batch      8, Loss  0.856177, Average Loss  0.872031, Time  0.245452
2021-09-11 04:11:49.883398 : Epoch  2, Batch      9, Loss  0.855902, Average Loss  0.872033, Time  0.242312
2021-09-11 04:11:52.498922 : Epoch  2, Batch     10, Loss  0.863767, Average Loss  0.871953, Time  0.243850
2021-09-11 04:11:55.122052 : Epoch  2, Batch     11, Loss  0.876287, Average Loss  0.871880, Time  0.241881
2021-09-11 04:11:57.747831 : Epoch  2, Batch     12, Loss  0.897264, Average Loss  0.871989, Time  0.243525
2021-09-11 04:12:00.372864 : Epoch  2, Batch     13, Loss  0.858876, Average Loss  0.871939, Time  0.246015
2021-09-11 04:12:02.996815 : Epoch  2, Batch     14, Loss  0.882414, Average Loss  0.872081, Time  0.258535
2021-09-11 04:12:05.711033 : Epoch  2, Batch     15, Loss  0.873120, Average Loss  0.872088, Time  0.264219
2021-09-11 04:12:08.390550 : Epoch  2, Batch     16, Loss  0.854869, Average Loss  0.872117, Time  0.282780
2021-09-11 04:12:10.208871 : CheckPoint: Validation Loss  0.00022933, Best Loss  0.00022474
2021-09-11 04:12:10.994079 : Epoch  2, Batch     17, Loss  0.858212, Average Loss  0.872170, Time  0.241658
2021-09-11 04:12:11.761577 : Epoch  6, Batch    466, Loss  0.561628, Average Loss  0.555072, Time  0.231617
2021-09-11 04:12:13.791102 : Epoch  2, Batch     18, Loss  0.883289, Average Loss  0.872098, Time  0.438548
2021-09-11 04:12:13.837970 : Epoch  6, Batch    467, Loss  0.555683, Average Loss  0.555123, Time  0.469119
2021-09-11 04:12:15.333687 : Epoch  6, Batch    468, Loss  0.557403, Average Loss  0.555123, Time  0.231087
2021-09-11 04:12:16.491241 : Epoch  2, Batch     19, Loss  0.882949, Average Loss  0.872181, Time  0.262276
2021-09-11 04:12:16.839961 : Epoch  6, Batch    469, Loss  0.561359, Average Loss  0.555193, Time  0.231544
2021-09-11 04:12:18.348681 : Epoch  6, Batch    470, Loss  0.540648, Average Loss  0.555092, Time  0.231061
2021-09-11 04:12:19.126059 : Epoch  2, Batch     20, Loss  0.851280, Average Loss  0.871961, Time  0.244892
2021-09-11 04:12:19.859710 : Epoch  6, Batch    471, Loss  0.550003, Average Loss  0.555113, Time  0.231047
2021-09-11 04:12:21.364868 : Epoch  6, Batch    472, Loss  0.548254, Average Loss  0.555077, Time  0.232105
2021-09-11 04:12:21.726940 : Epoch  2, Batch     21, Loss  0.870944, Average Loss  0.871921, Time  0.240081
2021-09-11 04:12:23.030252 : Epoch  6, Batch    473, Loss  0.549303, Average Loss  0.555096, Time  0.251209
2021-09-11 04:12:24.434799 : Epoch  2, Batch     22, Loss  0.877816, Average Loss  0.872112, Time  0.326611
2021-09-11 04:12:24.556839 : Epoch  6, Batch    474, Loss  0.566116, Average Loss  0.555161, Time  0.261345
2021-09-11 04:12:26.057160 : Epoch  6, Batch    475, Loss  0.554732, Average Loss  0.555239, Time  0.231141
2021-09-11 04:12:27.053387 : Epoch  2, Batch     23, Loss  0.866518, Average Loss  0.872193, Time  0.243808
2021-09-11 04:12:27.556701 : Epoch  6, Batch    476, Loss  0.548694, Average Loss  0.555226, Time  0.232258
2021-09-11 04:12:29.056483 : Epoch  6, Batch    477, Loss  0.560506, Average Loss  0.555346, Time  0.231003
2021-09-11 04:12:29.667734 : Epoch  2, Batch     24, Loss  0.862287, Average Loss  0.872164, Time  0.238172
2021-09-11 04:12:30.700762 : Epoch  6, Batch    478, Loss  0.554430, Average Loss  0.555356, Time  0.250447
2021-09-11 04:12:32.475830 : Epoch  2, Batch     25, Loss  0.874975, Average Loss  0.872171, Time  0.444046
2021-09-11 04:12:32.521914 : Epoch  6, Batch    479, Loss  0.569369, Average Loss  0.555399, Time  0.364409
2021-09-11 04:12:34.040084 : Epoch  6, Batch    480, Loss  0.561515, Average Loss  0.555423, Time  0.231796
2021-09-11 04:12:35.085846 : Epoch  2, Batch     26, Loss  0.887247, Average Loss  0.872249, Time  0.243268
2021-09-11 04:12:35.707943 : Epoch  6, Batch    481, Loss  0.556503, Average Loss  0.555432, Time  0.250125
2021-09-11 04:12:37.375879 : Epoch  6, Batch    482, Loss  0.550511, Average Loss  0.555389, Time  0.251024
2021-09-11 04:12:37.709985 : Epoch  2, Batch     27, Loss  0.852749, Average Loss  0.872109, Time  0.240028
2021-09-11 04:12:39.016171 : Epoch  6, Batch    483, Loss  0.549018, Average Loss  0.555328, Time  0.231770
2021-09-11 04:12:40.393548 : Epoch  2, Batch     28, Loss  0.878544, Average Loss  0.872125, Time  0.243774
2021-09-11 04:12:40.698843 : Epoch  6, Batch    484, Loss  0.535480, Average Loss  0.555274, Time  0.231781
2021-09-11 04:12:42.210112 : Epoch  6, Batch    485, Loss  0.557114, Average Loss  0.555297, Time  0.231796
2021-09-11 04:12:43.050869 : Epoch  2, Batch     29, Loss  0.883504, Average Loss  0.872225, Time  0.293430
2021-09-11 04:12:43.709130 : Epoch  6, Batch    486, Loss  0.545319, Average Loss  0.555225, Time  0.231268
2021-09-11 04:12:45.258308 : Epoch  6, Batch    487, Loss  0.547921, Average Loss  0.555181, Time  0.235610
2021-09-11 04:12:45.708412 : Epoch  2, Batch     30, Loss  0.877589, Average Loss  0.872329, Time  0.269020
2021-09-11 04:12:46.885916 : Epoch  6, Batch    488, Loss  0.550829, Average Loss  0.555114, Time  0.232136
2021-09-11 04:12:48.613934 : Epoch  2, Batch     31, Loss  0.859067, Average Loss  0.872285, Time  0.438897
2021-09-11 04:12:48.614787 : Epoch  6, Batch    489, Loss  0.547485, Average Loss  0.555083, Time  0.450971
2021-09-11 04:12:50.168307 : Epoch  6, Batch    490, Loss  0.550323, Average Loss  0.555052, Time  0.232070
2021-09-11 04:12:51.227830 : Epoch  2, Batch     32, Loss  0.850534, Average Loss  0.872166, Time  0.239823
2021-09-11 04:12:51.775034 : Epoch  6, Batch    491, Loss  0.549146, Average Loss  0.555077, Time  0.233559
2021-09-11 04:12:53.288400 : Epoch  6, Batch    492, Loss  0.557943, Average Loss  0.555075, Time  0.232237
2021-09-11 04:12:53.851970 : Epoch  2, Batch     33, Loss  0.878693, Average Loss  0.872183, Time  0.245238
2021-09-11 04:12:54.840866 : Epoch  6, Batch    493, Loss  0.548132, Average Loss  0.555057, Time  0.231949
2021-09-11 04:12:56.541765 : Epoch  6, Batch    494, Loss  0.553199, Average Loss  0.555087, Time  0.412578
2021-09-11 04:12:56.581822 : Epoch  2, Batch     34, Loss  0.877345, Average Loss  0.872114, Time  0.357643
2021-09-11 04:12:58.093741 : Epoch  6, Batch    495, Loss  0.548258, Average Loss  0.555020, Time  0.232920
2021-09-11 04:12:59.205881 : Epoch  2, Batch     35, Loss  0.872451, Average Loss  0.872116, Time  0.242824
2021-09-11 04:12:59.603576 : Epoch  6, Batch    496, Loss  0.566925, Average Loss  0.555084, Time  0.231889
2021-09-11 04:13:01.119250 : Epoch  6, Batch    497, Loss  0.560763, Average Loss  0.555174, Time  0.231889
2021-09-11 04:13:01.823000 : Epoch  2, Batch     36, Loss  0.875661, Average Loss  0.872172, Time  0.242535
2021-09-11 04:13:02.640117 : Epoch  6, Batch    498, Loss  0.541436, Average Loss  0.555178, Time  0.232595
2021-09-11 04:13:04.166913 : Epoch  6, Batch    499, Loss  0.554733, Average Loss  0.555221, Time  0.231985
2021-09-11 04:13:04.484770 : Epoch  2, Batch     37, Loss  0.872374, Average Loss  0.872173, Time  0.243619
2021-09-11 04:13:05.672237 : Epoch  6, Batch    500, Loss  0.561658, Average Loss  0.555230, Time  0.231959
2021-09-11 04:13:07.280083 : Epoch  2, Batch     38, Loss  0.852603, Average Loss  0.872069, Time  0.403517
2021-09-11 04:13:07.331113 : Epoch  6, Batch    501, Loss  0.552973, Average Loss  0.555240, Time  0.336659
2021-09-11 04:13:08.854287 : Epoch  6, Batch    502, Loss  0.545985, Average Loss  0.555237, Time  0.232131
2021-09-11 04:13:09.923984 : Epoch  2, Batch     39, Loss  0.889001, Average Loss  0.872151, Time  0.246245
2021-09-11 04:13:10.372933 : Epoch  6, Batch    503, Loss  0.571467, Average Loss  0.555301, Time  0.232002
2021-09-11 04:13:11.887058 : Epoch  6, Batch    504, Loss  0.555899, Average Loss  0.555316, Time  0.232560
2021-09-11 04:13:12.564402 : Epoch  2, Batch     40, Loss  0.891538, Average Loss  0.872261, Time  0.240564
2021-09-11 04:13:13.404263 : Epoch  6, Batch    505, Loss  0.550776, Average Loss  0.555254, Time  0.232105
2021-09-11 04:13:14.927447 : Epoch  6, Batch    506, Loss  0.561113, Average Loss  0.555353, Time  0.231851
2021-09-11 04:13:15.191471 : Epoch  2, Batch     41, Loss  0.865162, Average Loss  0.872295, Time  0.243734
2021-09-11 04:13:16.471309 : Epoch  6, Batch    507, Loss  0.548280, Average Loss  0.555407, Time  0.237074
2021-09-11 04:13:17.899913 : Epoch  2, Batch     42, Loss  0.874839, Average Loss  0.872372, Time  0.325307
2021-09-11 04:13:18.029986 : Epoch  6, Batch    508, Loss  0.554032, Average Loss  0.555405, Time  0.259622
2021-09-11 04:13:19.545274 : Epoch  6, Batch    509, Loss  0.560923, Average Loss  0.555401, Time  0.231876
2021-09-11 04:13:20.527843 : Epoch  2, Batch     43, Loss  0.881830, Average Loss  0.872558, Time  0.240090
2021-09-11 04:13:21.066414 : Epoch  6, Batch    510, Loss  0.556159, Average Loss  0.555391, Time  0.232411
2021-09-11 04:13:22.579580 : Epoch  6, Batch    511, Loss  0.549850, Average Loss  0.555386, Time  0.231857
2021-09-11 04:13:23.149961 : Epoch  2, Batch     44, Loss  0.876584, Average Loss  0.872570, Time  0.243878
2021-09-11 04:13:24.091192 : Epoch  6, Batch    512, Loss  0.557057, Average Loss  0.555399, Time  0.231699
2021-09-11 04:13:25.645036 : Epoch  6, Batch    513, Loss  0.565284, Average Loss  0.555450, Time  0.235766
2021-09-11 04:13:27.170864 : Epoch  6, Batch    514, Loss  0.546043, Average Loss  0.555383, Time  0.232172
2021-09-11 04:13:28.697954 : Epoch  6, Batch    515, Loss  0.545555, Average Loss  0.555341, Time  0.236332
2021-09-11 04:13:30.245436 : Epoch  6, Batch    516, Loss  0.544529, Average Loss  0.555318, Time  0.232766
2021-09-11 04:13:31.769992 : Epoch  6, Batch    517, Loss  0.560344, Average Loss  0.555405, Time  0.233363
2021-09-11 04:13:33.281797 : Epoch  6, Batch    518, Loss  0.547389, Average Loss  0.555389, Time  0.232404
2021-09-11 04:13:34.819091 : Epoch  6, Batch    519, Loss  0.546483, Average Loss  0.555342, Time  0.233388
2021-09-11 04:13:36.343233 : Epoch  6, Batch    520, Loss  0.556239, Average Loss  0.555297, Time  0.232050
2021-09-11 04:13:37.862372 : Epoch  6, Batch    521, Loss  0.549760, Average Loss  0.555332, Time  0.232467
2021-09-11 04:13:39.387903 : Epoch  6, Batch    522, Loss  0.550016, Average Loss  0.555311, Time  0.235335
2021-09-11 04:13:40.909282 : Epoch  6, Batch    523, Loss  0.547707, Average Loss  0.555330, Time  0.232058
2021-09-11 04:13:42.418313 : Epoch  6, Batch    524, Loss  0.559752, Average Loss  0.555393, Time  0.232906
2021-09-11 04:13:43.980328 : Epoch  6, Batch    525, Loss  0.548423, Average Loss  0.555407, Time  0.233243
2021-09-11 04:13:45.513751 : Epoch  6, Batch    526, Loss  0.566775, Average Loss  0.555491, Time  0.246752
2021-09-11 04:13:47.184879 : Epoch  6, Batch    527, Loss  0.557246, Average Loss  0.555511, Time  0.251656
2021-09-11 04:13:48.860388 : Epoch  6, Batch    528, Loss  0.552976, Average Loss  0.555472, Time  0.251911
2021-09-11 04:13:50.393775 : Epoch  6, Batch    529, Loss  0.560582, Average Loss  0.555493, Time  0.250721
2021-09-11 04:13:52.058030 : Epoch  6, Batch    530, Loss  0.555850, Average Loss  0.555505, Time  0.251647
2021-09-11 04:13:53.741347 : Epoch  6, Batch    531, Loss  0.554996, Average Loss  0.555523, Time  0.252923
2021-09-11 04:13:55.066724 : CheckPoint: Validation Loss  0.00061394, Best Loss  0.00057296
2021-09-11 04:13:55.411129 : Epoch  6, Batch    532, Loss  0.554386, Average Loss  0.555572, Time  0.240418
2021-09-11 04:13:56.679901 : Epoch  3, Batch   2379, Loss  0.871048, Average Loss  0.867924, Time  0.183742
2021-09-11 04:13:56.945804 : Epoch  6, Batch    533, Loss  0.551310, Average Loss  0.555512, Time  0.231934
2021-09-11 04:13:58.282000 : Epoch  3, Batch   2380, Loss  0.882655, Average Loss  0.867931, Time  0.172738
2021-09-11 04:13:58.483962 : Epoch  6, Batch    534, Loss  0.546347, Average Loss  0.555489, Time  0.232483
2021-09-11 04:13:59.952800 : Epoch  3, Batch   2381, Loss  0.909229, Average Loss  0.868074, Time  0.174989
2021-09-11 04:14:00.009034 : Epoch  6, Batch    535, Loss  0.555215, Average Loss  0.555494, Time  0.232165
2021-09-11 04:14:01.596017 : Epoch  3, Batch   2382, Loss  0.853743, Average Loss  0.868031, Time  0.177951
2021-09-11 04:14:03.225790 : Epoch  3, Batch   2383, Loss  0.893083, Average Loss  0.868181, Time  0.174381
2021-09-11 04:14:04.083268 : Epoch  6, Batch    536, Loss  0.548406, Average Loss  0.555488, Time  0.233538
2021-09-11 04:14:04.856056 : Epoch  3, Batch   2384, Loss  0.849913, Average Loss  0.868188, Time  0.182200
2021-09-11 04:14:05.764996 : Epoch  6, Batch    537, Loss  0.550337, Average Loss  0.555458, Time  0.251738
2021-09-11 04:14:06.492768 : Epoch  3, Batch   2385, Loss  0.878397, Average Loss  0.868256, Time  0.173697
2021-09-11 04:14:07.436867 : Epoch  6, Batch    538, Loss  0.560760, Average Loss  0.555478, Time  0.251501
2021-09-11 04:14:08.101017 : Epoch  3, Batch   2386, Loss  0.841826, Average Loss  0.868317, Time  0.180092
2021-09-11 04:14:09.012331 : Epoch  6, Batch    539, Loss  0.549329, Average Loss  0.555437, Time  0.237756
2021-09-11 04:14:09.734008 : Epoch  3, Batch   2387, Loss  0.862679, Average Loss  0.868163, Time  0.170550
2021-09-11 04:14:10.557365 : Epoch  6, Batch    540, Loss  0.556564, Average Loss  0.555429, Time  0.233125
2021-09-11 04:14:11.370744 : Epoch  3, Batch   2388, Loss  0.877072, Average Loss  0.868240, Time  0.170012
2021-09-11 04:14:12.226842 : Epoch  6, Batch    541, Loss  0.553915, Average Loss  0.555478, Time  0.251395
2021-09-11 04:14:12.998947 : Epoch  3, Batch   2389, Loss  0.885743, Average Loss  0.868336, Time  0.170793
2021-09-11 04:14:13.749857 : Epoch  6, Batch    542, Loss  0.549241, Average Loss  0.555437, Time  0.231903
2021-09-11 04:14:14.639033 : Epoch  3, Batch   2390, Loss  0.878618, Average Loss  0.868432, Time  0.178394
2021-09-11 04:14:15.290345 : Epoch  6, Batch    543, Loss  0.559304, Average Loss  0.555487, Time  0.232694
2021-09-11 04:14:16.286959 : Epoch  3, Batch   2391, Loss  0.881862, Average Loss  0.868390, Time  0.172742
2021-09-11 04:14:16.837877 : Epoch  6, Batch    544, Loss  0.549792, Average Loss  0.555485, Time  0.251037
2021-09-11 04:14:17.934014 : Epoch  3, Batch   2392, Loss  0.898204, Average Loss  0.868610, Time  0.170265
2021-09-11 04:14:18.489321 : Epoch  6, Batch    545, Loss  0.552717, Average Loss  0.555500, Time  0.232872
2021-09-11 04:14:19.536826 : Epoch  3, Batch   2393, Loss  0.887621, Average Loss  0.868790, Time  0.170132
2021-09-11 04:14:20.028037 : Epoch  6, Batch    546, Loss  0.558012, Average Loss  0.555537, Time  0.232061
2021-09-11 04:14:21.170763 : Epoch  3, Batch   2394, Loss  0.908807, Average Loss  0.868831, Time  0.172045
2021-09-11 04:14:21.573038 : Epoch  6, Batch    547, Loss  0.544032, Average Loss  0.555518, Time  0.232623
2021-09-11 04:14:22.782783 : Epoch  3, Batch   2395, Loss  0.868852, Average Loss  0.868901, Time  0.178185
2021-09-11 04:14:23.232826 : Epoch  6, Batch    548, Loss  0.554504, Average Loss  0.555525, Time  0.251353
2021-09-11 04:14:24.373475 : Epoch  3, Batch   2396, Loss  0.851827, Average Loss  0.868799, Time  0.170219
2021-09-11 04:14:24.900701 : Epoch  6, Batch    549, Loss  0.551078, Average Loss  0.555544, Time  0.251849
2021-09-11 04:14:26.019844 : Epoch  3, Batch   2397, Loss  0.877279, Average Loss  0.869032, Time  0.171788
2021-09-11 04:14:26.564014 : Epoch  6, Batch    550, Loss  0.573964, Average Loss  0.555588, Time  0.251405
2021-09-11 04:14:27.636751 : Epoch  3, Batch   2398, Loss  0.854058, Average Loss  0.868961, Time  0.172416
2021-09-11 04:14:28.212393 : Epoch  6, Batch    551, Loss  0.553607, Average Loss  0.555620, Time  0.251259
2021-09-11 04:14:29.264812 : Epoch  3, Batch   2399, Loss  0.864174, Average Loss  0.868893, Time  0.169513
2021-09-11 04:14:29.896138 : Epoch  6, Batch    552, Loss  0.551226, Average Loss  0.555577, Time  0.252442
2021-09-11 04:14:30.880787 : Epoch  3, Batch   2400, Loss  0.856292, Average Loss  0.868690, Time  0.178668
2021-09-11 04:14:31.416927 : Epoch  6, Batch    553, Loss  0.568125, Average Loss  0.555622, Time  0.232296
2021-09-11 04:14:32.479045 : Epoch  3, Batch   2401, Loss  0.891925, Average Loss  0.868847, Time  0.171752
2021-09-11 04:14:32.937260 : Epoch  6, Batch    554, Loss  0.541356, Average Loss  0.555575, Time  0.231881
2021-09-11 04:14:34.089029 : Epoch  3, Batch   2402, Loss  0.852703, Average Loss  0.868763, Time  0.170805
2021-09-11 04:14:34.454851 : Epoch  6, Batch    555, Loss  0.556378, Average Loss  0.555558, Time  0.232144
2021-09-11 04:14:35.705822 : Epoch  3, Batch   2403, Loss  0.857178, Average Loss  0.868615, Time  0.169991
2021-09-11 04:14:35.965466 : Epoch  6, Batch    556, Loss  0.560264, Average Loss  0.555587, Time  0.232305
2021-09-11 04:14:37.331039 : Epoch  3, Batch   2404, Loss  0.844434, Average Loss  0.868553, Time  0.170060
2021-09-11 04:14:37.479240 : Epoch  6, Batch    557, Loss  0.559205, Average Loss  0.555710, Time  0.231957
2021-09-11 04:14:38.945784 : Epoch  3, Batch   2405, Loss  0.847683, Average Loss  0.868372, Time  0.173570
2021-09-11 04:14:39.003012 : Epoch  6, Batch    558, Loss  0.547465, Average Loss  0.555664, Time  0.233268
2021-09-11 04:14:40.502119 : Epoch  6, Batch    559, Loss  0.561093, Average Loss  0.555651, Time  0.232086
2021-09-11 04:14:40.536786 : Epoch  3, Batch   2406, Loss  0.858885, Average Loss  0.868325, Time  0.170249
2021-09-11 04:14:42.146897 : Epoch  3, Batch   2407, Loss  0.858056, Average Loss  0.868206, Time  0.174602
2021-09-11 04:14:42.174828 : Epoch  6, Batch    560, Loss  0.551780, Average Loss  0.555635, Time  0.252038
2021-09-11 04:14:43.780024 : Epoch  3, Batch   2408, Loss  0.874032, Average Loss  0.868360, Time  0.170859
2021-09-11 04:14:43.825156 : Epoch  6, Batch    561, Loss  0.555253, Average Loss  0.555623, Time  0.252250
2021-09-11 04:14:45.312268 : Epoch  6, Batch    562, Loss  0.547197, Average Loss  0.555594, Time  0.231914
2021-09-11 04:14:45.406728 : Epoch  3, Batch   2409, Loss  0.881212, Average Loss  0.868360, Time  0.169962
2021-09-11 04:14:46.828839 : Epoch  6, Batch    563, Loss  0.551170, Average Loss  0.555574, Time  0.231683
2021-09-11 04:14:47.059757 : Epoch  3, Batch   2410, Loss  0.848084, Average Loss  0.868206, Time  0.182092
2021-09-11 04:14:48.363441 : Epoch  6, Batch    564, Loss  0.549731, Average Loss  0.555527, Time  0.233343
2021-09-11 04:14:48.682893 : Epoch  3, Batch   2411, Loss  0.894424, Average Loss  0.868295, Time  0.174770
2021-09-11 04:14:50.038808 : Epoch  6, Batch    565, Loss  0.553456, Average Loss  0.555584, Time  0.251735
2021-09-11 04:14:50.305598 : Epoch  3, Batch   2412, Loss  0.862662, Average Loss  0.868232, Time  0.177412
2021-09-11 04:14:51.902777 : Epoch  3, Batch   2413, Loss  0.857887, Average Loss  0.868189, Time  0.171965
2021-09-11 04:14:53.521034 : Epoch  3, Batch   2414, Loss  0.896142, Average Loss  0.868222, Time  0.178600
2021-09-11 04:14:55.202311 : Epoch  3, Batch   2415, Loss  0.851420, Average Loss  0.868111, Time  0.201272
2021-09-11 04:14:56.827038 : Epoch  3, Batch   2416, Loss  0.887604, Average Loss  0.868141, Time  0.173201
2021-09-11 04:14:58.438032 : Epoch  3, Batch   2417, Loss  0.877263, Average Loss  0.868263, Time  0.173950
2021-09-11 04:15:00.044723 : Epoch  3, Batch   2418, Loss  0.859750, Average Loss  0.868144, Time  0.170528
2021-09-11 04:15:01.676035 : Epoch  3, Batch   2419, Loss  0.900669, Average Loss  0.868320, Time  0.175977
2021-09-11 04:15:03.302760 : Epoch  3, Batch   2420, Loss  0.844916, Average Loss  0.868059, Time  0.173164
2021-09-11 04:15:04.913814 : Epoch  3, Batch   2421, Loss  0.864065, Average Loss  0.867966, Time  0.171118
2021-09-11 04:15:06.499757 : Epoch  3, Batch   2422, Loss  0.871872, Average Loss  0.868010, Time  0.170162
2021-09-11 04:15:08.112069 : Epoch  3, Batch   2423, Loss  0.853188, Average Loss  0.867938, Time  0.170330
2021-09-11 04:15:09.718834 : Epoch  3, Batch   2424, Loss  0.858286, Average Loss  0.867974, Time  0.174271
2021-09-11 04:15:11.341786 : Epoch  3, Batch   2425, Loss  0.863484, Average Loss  0.868082, Time  0.170413
2021-09-11 04:15:12.967599 : Epoch  3, Batch   2426, Loss  0.865419, Average Loss  0.867845, Time  0.175113
2021-09-11 04:15:14.574822 : Epoch  3, Batch   2427, Loss  0.875350, Average Loss  0.868034, Time  0.179290
2021-09-11 04:15:16.207816 : Epoch  3, Batch   2428, Loss  0.838597, Average Loss  0.867882, Time  0.170191
2021-09-11 04:15:17.829017 : Epoch  3, Batch   2429, Loss  0.882188, Average Loss  0.868070, Time  0.170116
2021-09-11 04:15:19.446812 : Epoch  3, Batch   2430, Loss  0.853475, Average Loss  0.867935, Time  0.177960
2021-09-11 04:15:21.073852 : Epoch  3, Batch   2431, Loss  0.899327, Average Loss  0.868077, Time  0.175947
2021-09-11 04:15:22.708747 : Epoch  3, Batch   2432, Loss  0.876188, Average Loss  0.868223, Time  0.169871
2021-09-11 04:15:24.360743 : Epoch  3, Batch   2433, Loss  0.904157, Average Loss  0.868305, Time  0.185198
2021-09-11 04:15:26.006751 : Epoch  3, Batch   2434, Loss  0.856144, Average Loss  0.868283, Time  0.186198
2021-09-11 04:15:27.646781 : Epoch  3, Batch   2435, Loss  0.852025, Average Loss  0.868089, Time  0.182967
2021-09-11 04:15:29.241776 : Epoch  3, Batch   2436, Loss  0.886200, Average Loss  0.868376, Time  0.175058
2021-09-11 04:15:30.923822 : Epoch  3, Batch   2437, Loss  0.864567, Average Loss  0.868459, Time  0.170151
2021-09-11 04:15:32.536804 : Epoch  3, Batch   2438, Loss  0.886991, Average Loss  0.868755, Time  0.170288
2021-09-11 04:15:34.173018 : Epoch  3, Batch   2439, Loss  0.836660, Average Loss  0.868561, Time  0.171797
2021-09-11 04:15:35.811781 : Epoch  3, Batch   2440, Loss  0.880903, Average Loss  0.868643, Time  0.198465
2021-09-11 04:15:37.436734 : Epoch  3, Batch   2441, Loss  0.915924, Average Loss  0.868985, Time  0.170879
2021-09-11 04:15:39.062814 : Epoch  3, Batch   2442, Loss  0.843905, Average Loss  0.868864, Time  0.169820
2021-09-11 04:15:40.681747 : Epoch  3, Batch   2443, Loss  0.850862, Average Loss  0.868694, Time  0.177632
2021-09-11 04:15:42.306036 : Epoch  3, Batch   2444, Loss  0.880442, Average Loss  0.868743, Time  0.178171
2021-09-11 04:15:43.904021 : Epoch  3, Batch   2445, Loss  0.860860, Average Loss  0.868681, Time  0.175857
2021-09-11 04:15:45.515774 : Epoch  3, Batch   2446, Loss  0.878215, Average Loss  0.868807, Time  0.176193
2021-09-11 04:15:47.156741 : Epoch  3, Batch   2447, Loss  0.885704, Average Loss  0.868890, Time  0.176303
2021-09-11 04:15:48.791026 : Epoch  3, Batch   2448, Loss  0.871129, Average Loss  0.868900, Time  0.176381
2021-09-11 04:15:50.416850 : Epoch  3, Batch   2449, Loss  0.856039, Average Loss  0.868822, Time  0.173528
2021-09-11 04:15:51.732710 : CheckPoint: Validation Loss  0.00023067, Best Loss  0.00022474
2021-09-11 04:15:52.013031 : Epoch  3, Batch   2450, Loss  0.858737, Average Loss  0.868817, Time  0.170137
2021-09-11 04:15:53.417295 : Epoch  6, Batch    566, Loss  0.550774, Average Loss  0.555578, Time  0.251688
2021-09-11 04:15:53.625034 : Epoch  3, Batch   2451, Loss  0.887875, Average Loss  0.868960, Time  0.170262
2021-09-11 04:15:54.930840 : Epoch  6, Batch    567, Loss  0.550586, Average Loss  0.555583, Time  0.231706
2021-09-11 04:15:55.267310 : Epoch  3, Batch   2452, Loss  0.834619, Average Loss  0.868769, Time  0.170328
2021-09-11 04:15:56.444305 : Epoch  6, Batch    568, Loss  0.544627, Average Loss  0.555497, Time  0.231754
2021-09-11 04:15:56.889841 : Epoch  3, Batch   2453, Loss  0.881864, Average Loss  0.868929, Time  0.179913
2021-09-11 04:15:57.960919 : Epoch  6, Batch    569, Loss  0.558718, Average Loss  0.555511, Time  0.233282
2021-09-11 04:15:58.496766 : Epoch  3, Batch   2454, Loss  0.832334, Average Loss  0.868823, Time  0.174127
2021-09-11 04:15:59.494071 : Epoch  6, Batch    570, Loss  0.564926, Average Loss  0.555587, Time  0.232995
2021-09-11 04:16:00.111036 : Epoch  3, Batch   2455, Loss  0.893076, Average Loss  0.868940, Time  0.175102
2021-09-11 04:16:01.006396 : Epoch  6, Batch    571, Loss  0.544551, Average Loss  0.555410, Time  0.231949
2021-09-11 04:16:01.735847 : Epoch  3, Batch   2456, Loss  0.880656, Average Loss  0.869053, Time  0.175132
2021-09-11 04:16:02.530230 : Epoch  6, Batch    572, Loss  0.535687, Average Loss  0.555285, Time  0.232031
2021-09-11 04:16:03.359747 : Epoch  3, Batch   2457, Loss  0.868601, Average Loss  0.869172, Time  0.176405
2021-09-11 04:16:04.039843 : Epoch  6, Batch    573, Loss  0.555356, Average Loss  0.555290, Time  0.232343
2021-09-11 04:16:05.018035 : Epoch  3, Batch   2458, Loss  0.860162, Average Loss  0.869040, Time  0.172256
2021-09-11 04:16:05.561280 : Epoch  6, Batch    574, Loss  0.560816, Average Loss  0.555267, Time  0.231941
2021-09-11 04:16:06.635758 : Epoch  3, Batch   2459, Loss  0.897872, Average Loss  0.869117, Time  0.174411
2021-09-11 04:16:07.091780 : Epoch  6, Batch    575, Loss  0.546003, Average Loss  0.555241, Time  0.231952
2021-09-11 04:16:08.238953 : Epoch  3, Batch   2460, Loss  0.876037, Average Loss  0.869157, Time  0.170711
2021-09-11 04:16:08.695189 : Epoch  6, Batch    576, Loss  0.550001, Average Loss  0.555184, Time  0.314746
2021-09-11 04:16:09.854759 : Epoch  3, Batch   2461, Loss  0.887224, Average Loss  0.869310, Time  0.170637
2021-09-11 04:16:10.204810 : Epoch  6, Batch    577, Loss  0.563385, Average Loss  0.555185, Time  0.232124
2021-09-11 04:16:11.502066 : Epoch  3, Batch   2462, Loss  0.917759, Average Loss  0.869704, Time  0.189281
2021-09-11 04:16:11.739246 : Epoch  6, Batch    578, Loss  0.550874, Average Loss  0.555256, Time  0.231675
2021-09-11 04:16:13.157049 : Epoch  3, Batch   2463, Loss  0.871687, Average Loss  0.869766, Time  0.173967
2021-09-11 04:16:13.258844 : Epoch  6, Batch    579, Loss  0.548461, Average Loss  0.555227, Time  0.232986
2021-09-11 04:16:14.794756 : Epoch  3, Batch   2464, Loss  0.889686, Average Loss  0.869999, Time  0.170215
2021-09-11 04:16:14.803840 : Epoch  6, Batch    580, Loss  0.538604, Average Loss  0.555110, Time  0.238491
2021-09-11 04:16:16.325738 : Epoch  6, Batch    581, Loss  0.563365, Average Loss  0.555145, Time  0.232460
2021-09-11 04:16:16.436832 : Epoch  3, Batch   2465, Loss  0.878631, Average Loss  0.870106, Time  0.172464
2021-09-11 04:16:17.838820 : Epoch  6, Batch    582, Loss  0.564585, Average Loss  0.555154, Time  0.231646
2021-09-11 04:16:18.048754 : Epoch  3, Batch   2466, Loss  0.877299, Average Loss  0.870219, Time  0.172223
2021-09-11 04:16:19.373273 : Epoch  6, Batch    583, Loss  0.546072, Average Loss  0.555207, Time  0.233090
2021-09-11 04:16:19.722032 : Epoch  3, Batch   2467, Loss  0.878636, Average Loss  0.870200, Time  0.184212
2021-09-11 04:16:20.906079 : Epoch  6, Batch    584, Loss  0.549810, Average Loss  0.555221, Time  0.233022
2021-09-11 04:16:21.367982 : Epoch  3, Batch   2468, Loss  0.885953, Average Loss  0.870284, Time  0.169655
2021-09-11 04:16:22.416803 : Epoch  6, Batch    585, Loss  0.555180, Average Loss  0.555220, Time  0.231780
2021-09-11 04:16:23.007004 : Epoch  3, Batch   2469, Loss  0.889964, Average Loss  0.870293, Time  0.169610
2021-09-11 04:16:24.090329 : Epoch  6, Batch    586, Loss  0.555457, Average Loss  0.555210, Time  0.251220
2021-09-11 04:16:24.630787 : Epoch  3, Batch   2470, Loss  0.873784, Average Loss  0.870256, Time  0.169880
2021-09-11 04:16:25.767922 : Epoch  6, Batch    587, Loss  0.541632, Average Loss  0.555156, Time  0.253245
2021-09-11 04:16:26.258993 : Epoch  3, Batch   2471, Loss  0.900086, Average Loss  0.870404, Time  0.171710
2021-09-11 04:16:27.448989 : Epoch  6, Batch    588, Loss  0.548482, Average Loss  0.555093, Time  0.252464
2021-09-11 04:16:27.889996 : Epoch  3, Batch   2472, Loss  0.858002, Average Loss  0.870431, Time  0.169746
2021-09-11 04:16:29.103269 : Epoch  6, Batch    589, Loss  0.551520, Average Loss  0.555102, Time  0.233211
2021-09-11 04:16:29.527003 : Epoch  3, Batch   2473, Loss  0.869305, Average Loss  0.870403, Time  0.169974
2021-09-11 04:16:30.621154 : Epoch  6, Batch    590, Loss  0.537509, Average Loss  0.554971, Time  0.232013
2021-09-11 04:16:31.149832 : Epoch  3, Batch   2474, Loss  0.858877, Average Loss  0.870332, Time  0.171844
2021-09-11 04:16:32.144250 : Epoch  6, Batch    591, Loss  0.558227, Average Loss  0.555018, Time  0.236567
2021-09-11 04:16:32.772995 : Epoch  3, Batch   2475, Loss  0.838036, Average Loss  0.870190, Time  0.169649
2021-09-11 04:16:33.658098 : Epoch  6, Batch    592, Loss  0.552416, Average Loss  0.555067, Time  0.231613
2021-09-11 04:16:34.416014 : Epoch  3, Batch   2476, Loss  0.869558, Average Loss  0.870194, Time  0.169394
2021-09-11 04:16:35.163046 : Epoch  6, Batch    593, Loss  0.545892, Average Loss  0.555060, Time  0.231185
2021-09-11 04:16:36.054745 : Epoch  3, Batch   2477, Loss  0.889959, Average Loss  0.870341, Time  0.171713
2021-09-11 04:16:36.669192 : Epoch  6, Batch    594, Loss  0.558436, Average Loss  0.555094, Time  0.231909
2021-09-11 04:16:37.679828 : Epoch  3, Batch   2478, Loss  0.881970, Average Loss  0.870545, Time  0.169594
2021-09-11 04:16:38.242972 : Epoch  6, Batch    595, Loss  0.551020, Average Loss  0.555090, Time  0.232724
2021-09-11 04:16:39.910283 : Epoch  6, Batch    596, Loss  0.557528, Average Loss  0.555184, Time  0.251369
2021-09-11 04:16:41.570242 : Epoch  6, Batch    597, Loss  0.542650, Average Loss  0.555068, Time  0.250757
2021-09-11 04:16:43.113331 : Epoch  6, Batch    598, Loss  0.549429, Average Loss  0.555012, Time  0.232995
2021-09-11 04:16:44.664349 : Epoch  6, Batch    599, Loss  0.553439, Average Loss  0.555039, Time  0.261705
2021-09-11 04:16:46.346164 : Epoch  6, Batch    600, Loss  0.559092, Average Loss  0.555048, Time  0.251705
2021-09-11 04:16:47.878812 : Epoch  6, Batch    601, Loss  0.559328, Average Loss  0.555045, Time  0.232646
2021-09-11 04:16:49.578944 : Epoch  6, Batch    602, Loss  0.552868, Average Loss  0.555041, Time  0.251889
2021-09-11 04:16:51.153959 : Epoch  6, Batch    603, Loss  0.555752, Average Loss  0.555022, Time  0.232124
2021-09-11 04:16:52.677761 : Epoch  6, Batch    604, Loss  0.561817, Average Loss  0.555056, Time  0.231479
2021-09-11 04:16:54.237096 : Epoch  6, Batch    605, Loss  0.554044, Average Loss  0.555043, Time  0.273408
2021-09-11 04:16:55.917275 : Epoch  6, Batch    606, Loss  0.561696, Average Loss  0.555061, Time  0.251544
2021-09-11 04:16:57.585673 : Epoch  6, Batch    607, Loss  0.543134, Average Loss  0.555006, Time  0.252519
2021-09-11 04:16:59.247786 : Epoch  6, Batch    608, Loss  0.553047, Average Loss  0.554928, Time  0.234255
2021-09-11 04:17:00.780046 : Epoch  6, Batch    609, Loss  0.547969, Average Loss  0.554909, Time  0.232725
2021-09-11 04:17:02.442309 : Epoch  6, Batch    610, Loss  0.558280, Average Loss  0.554940, Time  0.253373
2021-09-11 04:17:04.124840 : Epoch  6, Batch    611, Loss  0.562876, Average Loss  0.554993, Time  0.252175
2021-09-11 04:17:05.812209 : Epoch  6, Batch    612, Loss  0.539383, Average Loss  0.554888, Time  0.252099
2021-09-11 04:17:07.482281 : Epoch  6, Batch    613, Loss  0.565851, Average Loss  0.554963, Time  0.251275
2021-09-11 04:17:09.153400 : Epoch  6, Batch    614, Loss  0.533979, Average Loss  0.554837, Time  0.251419
2021-09-11 04:17:10.903323 : Epoch  6, Batch    615, Loss  0.558238, Average Loss  0.554864, Time  0.335118
2021-09-11 04:17:12.490927 : Epoch  6, Batch    616, Loss  0.544960, Average Loss  0.554854, Time  0.232112
2021-09-11 04:17:14.068261 : Epoch  6, Batch    617, Loss  0.531447, Average Loss  0.554807, Time  0.232636
2021-09-11 04:17:15.653257 : Epoch  6, Batch    618, Loss  0.539779, Average Loss  0.554769, Time  0.291849
2021-09-11 04:17:17.327836 : Epoch  6, Batch    619, Loss  0.558615, Average Loss  0.554831, Time  0.251399
2021-09-11 04:17:18.991889 : Epoch  6, Batch    620, Loss  0.541255, Average Loss  0.554770, Time  0.251320
2021-09-11 04:17:20.670321 : Epoch  6, Batch    621, Loss  0.542417, Average Loss  0.554766, Time  0.262908
2021-09-11 04:17:22.338261 : Epoch  6, Batch    622, Loss  0.560319, Average Loss  0.554823, Time  0.251373
2021-09-11 04:17:24.015528 : Epoch  6, Batch    623, Loss  0.558496, Average Loss  0.554928, Time  0.255301
2021-09-11 04:17:25.576176 : Epoch  6, Batch    624, Loss  0.551943, Average Loss  0.554908, Time  0.253248
2021-09-11 04:17:26.814853 : CheckPoint: Validation Loss  0.00030111, Best Loss  0.00029547
2021-09-11 04:17:27.105830 : Epoch  6, Batch    625, Loss  0.553273, Average Loss  0.554864, Time  0.232055
2021-09-11 04:17:28.629229 : Epoch  6, Batch    626, Loss  0.536964, Average Loss  0.554796, Time  0.235431
2021-09-11 04:17:29.477133 : Epoch  2, Batch     45, Loss  0.890158, Average Loss  0.872668, Time  0.244351
2021-09-11 04:17:30.177952 : Epoch  6, Batch    627, Loss  0.552886, Average Loss  0.554735, Time  0.235198
2021-09-11 04:17:31.828756 : Epoch  6, Batch    628, Loss  0.550712, Average Loss  0.554797, Time  0.234556
2021-09-11 04:17:32.174906 : Epoch  2, Batch     46, Loss  0.887565, Average Loss  0.872783, Time  0.241065
2021-09-11 04:17:33.369983 : Epoch  6, Batch    629, Loss  0.546613, Average Loss  0.554664, Time  0.234156
2021-09-11 04:17:34.961019 : Epoch  2, Batch     47, Loss  0.886146, Average Loss  0.872823, Time  0.371265
2021-09-11 04:17:35.046953 : Epoch  6, Batch    630, Loss  0.553755, Average Loss  0.554724, Time  0.308584
2021-09-11 04:17:36.573075 : Epoch  6, Batch    631, Loss  0.539232, Average Loss  0.554675, Time  0.232100
2021-09-11 04:17:37.592876 : Epoch  2, Batch     48, Loss  0.866445, Average Loss  0.872909, Time  0.242134
2021-09-11 04:17:38.095793 : Epoch  6, Batch    632, Loss  0.549835, Average Loss  0.554656, Time  0.231795
2021-09-11 04:17:39.614248 : Epoch  6, Batch    633, Loss  0.548957, Average Loss  0.554677, Time  0.232431
2021-09-11 04:17:40.237090 : Epoch  2, Batch     49, Loss  0.848014, Average Loss  0.872716, Time  0.266758
2021-09-11 04:17:41.122815 : Epoch  6, Batch    634, Loss  0.555288, Average Loss  0.554718, Time  0.231871
2021-09-11 04:17:42.644168 : Epoch  6, Batch    635, Loss  0.542122, Average Loss  0.554331, Time  0.232177
2021-09-11 04:17:42.932804 : Epoch  2, Batch     50, Loss  0.857179, Average Loss  0.872796, Time  0.249359
2021-09-11 04:17:45.556864 : Epoch  2, Batch     51, Loss  0.890200, Average Loss  0.872862, Time  0.247876
2021-09-11 04:17:46.800042 : Epoch  6, Batch    636, Loss  0.553484, Average Loss  0.554255, Time  0.232621
2021-09-11 04:17:48.331428 : Epoch  2, Batch     52, Loss  0.880537, Average Loss  0.872863, Time  0.377684
2021-09-11 04:17:48.407286 : Epoch  6, Batch    637, Loss  0.548275, Average Loss  0.554019, Time  0.310036
2021-09-11 04:17:49.931094 : Epoch  6, Batch    638, Loss  0.547353, Average Loss  0.553807, Time  0.231995
2021-09-11 04:17:50.936375 : Epoch  2, Batch     53, Loss  0.869199, Average Loss  0.872806, Time  0.243097
2021-09-11 04:17:51.438000 : Epoch  6, Batch    639, Loss  0.544311, Average Loss  0.553648, Time  0.232605
2021-09-11 04:17:52.957097 : Epoch  6, Batch    640, Loss  0.549932, Average Loss  0.553513, Time  0.231714
2021-09-11 04:17:53.622741 : Epoch  2, Batch     54, Loss  0.862441, Average Loss  0.872851, Time  0.242427
2021-09-11 04:17:54.471068 : Epoch  6, Batch    641, Loss  0.554197, Average Loss  0.553409, Time  0.232023
2021-09-11 04:17:56.014775 : Epoch  6, Batch    642, Loss  0.552457, Average Loss  0.553250, Time  0.232625
2021-09-11 04:17:56.259403 : Epoch  2, Batch     55, Loss  0.872940, Average Loss  0.872928, Time  0.243305
2021-09-11 04:17:57.553625 : Epoch  6, Batch    643, Loss  0.549481, Average Loss  0.553166, Time  0.233150
2021-09-11 04:17:58.885500 : Epoch  2, Batch     56, Loss  0.878449, Average Loss  0.872916, Time  0.244506
2021-09-11 04:17:59.083900 : Epoch  6, Batch    644, Loss  0.561266, Average Loss  0.553102, Time  0.240510
2021-09-11 04:18:00.612773 : Epoch  6, Batch    645, Loss  0.549406, Average Loss  0.553050, Time  0.232381
2021-09-11 04:18:01.521258 : Epoch  2, Batch     57, Loss  0.877453, Average Loss  0.872955, Time  0.241574
2021-09-11 04:18:02.158317 : Epoch  6, Batch    646, Loss  0.541251, Average Loss  0.552959, Time  0.236320
2021-09-11 04:18:03.699184 : Epoch  6, Batch    647, Loss  0.552327, Average Loss  0.552864, Time  0.232396
2021-09-11 04:18:04.156074 : Epoch  2, Batch     58, Loss  0.847522, Average Loss  0.872760, Time  0.240706
2021-09-11 04:18:05.241588 : Epoch  6, Batch    648, Loss  0.552993, Average Loss  0.552884, Time  0.231854
2021-09-11 04:18:06.981258 : Epoch  6, Batch    649, Loss  0.554590, Average Loss  0.552872, Time  0.451857
2021-09-11 04:18:07.032382 : Epoch  2, Batch     59, Loss  0.871118, Average Loss  0.872587, Time  0.452269
2021-09-11 04:18:08.509353 : Epoch  6, Batch    650, Loss  0.555317, Average Loss  0.552940, Time  0.232326
2021-09-11 04:18:09.637150 : Epoch  2, Batch     60, Loss  0.888965, Average Loss  0.872657, Time  0.239828
2021-09-11 04:18:10.036249 : Epoch  6, Batch    651, Loss  0.550325, Average Loss  0.552896, Time  0.232071
2021-09-11 04:18:11.563149 : Epoch  6, Batch    652, Loss  0.558057, Average Loss  0.552869, Time  0.232160
2021-09-11 04:18:12.263276 : Epoch  2, Batch     61, Loss  0.861743, Average Loss  0.872622, Time  0.242579
2021-09-11 04:18:13.104957 : Epoch  6, Batch    653, Loss  0.555971, Average Loss  0.552885, Time  0.233629
2021-09-11 04:18:14.634600 : Epoch  6, Batch    654, Loss  0.556496, Average Loss  0.552852, Time  0.232040
2021-09-11 04:18:14.902878 : Epoch  2, Batch     62, Loss  0.862026, Average Loss  0.872571, Time  0.258891
2021-09-11 04:18:16.165792 : Epoch  6, Batch    655, Loss  0.553341, Average Loss  0.552828, Time  0.232239
2021-09-11 04:18:17.633639 : Epoch  2, Batch     63, Loss  0.864154, Average Loss  0.872633, Time  0.348615
2021-09-11 04:18:17.737899 : Epoch  6, Batch    656, Loss  0.543286, Average Loss  0.552730, Time  0.272941
2021-09-11 04:18:19.267480 : Epoch  6, Batch    657, Loss  0.544940, Average Loss  0.552565, Time  0.233102
2021-09-11 04:18:20.271856 : Epoch  2, Batch     64, Loss  0.873788, Average Loss  0.872583, Time  0.241717
2021-09-11 04:18:20.781797 : Epoch  6, Batch    658, Loss  0.544776, Average Loss  0.552492, Time  0.231723
2021-09-11 04:18:22.313143 : Epoch  6, Batch    659, Loss  0.555736, Average Loss  0.552537, Time  0.231767
2021-09-11 04:18:22.902058 : Epoch  2, Batch     65, Loss  0.879258, Average Loss  0.872577, Time  0.243196
2021-09-11 04:18:24.012070 : Epoch  6, Batch    660, Loss  0.562288, Average Loss  0.552652, Time  0.252645
2021-09-11 04:18:25.726424 : Epoch  6, Batch    661, Loss  0.555252, Average Loss  0.552653, Time  0.406686
2021-09-11 04:18:25.775262 : Epoch  2, Batch     66, Loss  0.852664, Average Loss  0.872378, Time  0.467031
2021-09-11 04:18:27.256894 : Epoch  6, Batch    662, Loss  0.559335, Average Loss  0.552679, Time  0.232100
2021-09-11 04:18:28.410968 : Epoch  2, Batch     67, Loss  0.906700, Average Loss  0.872457, Time  0.244018
2021-09-11 04:18:28.784065 : Epoch  6, Batch    663, Loss  0.563386, Average Loss  0.552686, Time  0.232201
2021-09-11 04:18:30.316858 : Epoch  6, Batch    664, Loss  0.555458, Average Loss  0.552710, Time  0.232507
2021-09-11 04:18:31.035816 : Epoch  2, Batch     68, Loss  0.865247, Average Loss  0.872366, Time  0.242725
2021-09-11 04:18:31.841307 : Epoch  6, Batch    665, Loss  0.557944, Average Loss  0.552674, Time  0.233119
2021-09-11 04:18:33.672137 : Epoch  2, Batch     69, Loss  0.886160, Average Loss  0.872456, Time  0.242964
2021-09-11 04:18:36.316504 : Epoch  2, Batch     70, Loss  0.891402, Average Loss  0.872456, Time  0.242974
2021-09-11 04:18:38.947033 : Epoch  2, Batch     71, Loss  0.882620, Average Loss  0.872478, Time  0.243050
2021-09-11 04:18:41.563849 : Epoch  2, Batch     72, Loss  0.850297, Average Loss  0.872262, Time  0.241327
2021-09-11 04:18:44.184010 : Epoch  2, Batch     73, Loss  0.878182, Average Loss  0.872255, Time  0.240280
2021-09-11 04:18:46.806996 : Epoch  2, Batch     74, Loss  0.867872, Average Loss  0.872127, Time  0.246815
2021-09-11 04:18:49.530071 : Epoch  2, Batch     75, Loss  0.883535, Average Loss  0.872179, Time  0.263085
2021-09-11 04:18:52.324898 : Epoch  2, Batch     76, Loss  0.868106, Average Loss  0.872257, Time  0.244142
2021-09-11 04:18:54.985034 : Epoch  2, Batch     77, Loss  0.864532, Average Loss  0.872197, Time  0.250201
2021-09-11 04:18:57.613944 : Epoch  2, Batch     78, Loss  0.884906, Average Loss  0.872289, Time  0.242067
2021-09-11 04:19:00.268195 : Epoch  2, Batch     79, Loss  0.853777, Average Loss  0.872201, Time  0.266482
2021-09-11 04:19:02.966096 : Epoch  2, Batch     80, Loss  0.852549, Average Loss  0.872169, Time  0.243584
2021-09-11 04:19:05.598284 : Epoch  2, Batch     81, Loss  0.891917, Average Loss  0.872244, Time  0.259413
2021-09-11 04:19:08.318953 : Epoch  2, Batch     82, Loss  0.870218, Average Loss  0.872279, Time  0.261456
2021-09-11 04:19:11.007137 : Epoch  2, Batch     83, Loss  0.873699, Average Loss  0.872407, Time  0.239021
2021-09-11 04:19:13.701477 : Epoch  2, Batch     84, Loss  0.855252, Average Loss  0.872343, Time  0.298732
2021-09-11 04:19:16.430975 : Epoch  2, Batch     85, Loss  0.834313, Average Loss  0.872134, Time  0.332415
2021-09-11 04:19:19.147414 : Epoch  2, Batch     86, Loss  0.878673, Average Loss  0.872116, Time  0.327168
2021-09-11 04:19:21.871517 : Epoch  2, Batch     87, Loss  0.856740, Average Loss  0.872091, Time  0.324381
2021-09-11 04:19:24.618982 : Epoch  2, Batch     88, Loss  0.889718, Average Loss  0.872105, Time  0.272304
2021-09-11 04:19:27.338057 : Epoch  2, Batch     89, Loss  0.870151, Average Loss  0.872090, Time  0.265766
2021-09-11 04:19:28.751707 : CheckPoint: Validation Loss  0.00023113, Best Loss  0.00022474
2021-09-11 04:19:30.046962 : Epoch  2, Batch     90, Loss  0.862469, Average Loss  0.872033, Time  0.264168
2021-09-11 04:19:30.287450 : Epoch  6, Batch    666, Loss  0.542494, Average Loss  0.552578, Time  0.233040
2021-09-11 04:19:31.805341 : Epoch  6, Batch    667, Loss  0.538599, Average Loss  0.552493, Time  0.232213
2021-09-11 04:19:32.740986 : Epoch  2, Batch     91, Loss  0.900427, Average Loss  0.872124, Time  0.260556
2021-09-11 04:19:33.337720 : Epoch  6, Batch    668, Loss  0.540293, Average Loss  0.552407, Time  0.232940
2021-09-11 04:19:34.869064 : Epoch  6, Batch    669, Loss  0.548695, Average Loss  0.552344, Time  0.236213
2021-09-11 04:19:35.516498 : Epoch  2, Batch     92, Loss  0.859637, Average Loss  0.872105, Time  0.246143
2021-09-11 04:19:36.416468 : Epoch  6, Batch    670, Loss  0.539004, Average Loss  0.552336, Time  0.233011
2021-09-11 04:19:37.936625 : Epoch  6, Batch    671, Loss  0.548972, Average Loss  0.552331, Time  0.232246
2021-09-11 04:19:38.174833 : Epoch  2, Batch     93, Loss  0.870819, Average Loss  0.871999, Time  0.269423
2021-09-11 04:19:39.468972 : Epoch  6, Batch    672, Loss  0.548169, Average Loss  0.552330, Time  0.232109
2021-09-11 04:19:40.803308 : Epoch  2, Batch     94, Loss  0.884236, Average Loss  0.872096, Time  0.238670
2021-09-11 04:19:41.021786 : Epoch  6, Batch    673, Loss  0.558574, Average Loss  0.552377, Time  0.238974
2021-09-11 04:19:42.556835 : Epoch  6, Batch    674, Loss  0.548653, Average Loss  0.552289, Time  0.232655
2021-09-11 04:19:43.408828 : Epoch  2, Batch     95, Loss  0.867399, Average Loss  0.872061, Time  0.238768
2021-09-11 04:19:44.070827 : Epoch  6, Batch    675, Loss  0.563288, Average Loss  0.552332, Time  0.232098
2021-09-11 04:19:45.597965 : Epoch  6, Batch    676, Loss  0.553718, Average Loss  0.552357, Time  0.232497
2021-09-11 04:19:46.042503 : Epoch  2, Batch     96, Loss  0.873050, Average Loss  0.872024, Time  0.249132
2021-09-11 04:19:47.122844 : Epoch  6, Batch    677, Loss  0.547482, Average Loss  0.552292, Time  0.232413
2021-09-11 04:19:48.882501 : Epoch  6, Batch    678, Loss  0.556093, Average Loss  0.552300, Time  0.406692
2021-09-11 04:19:48.926042 : Epoch  2, Batch     97, Loss  0.883868, Average Loss  0.872058, Time  0.454087
2021-09-11 04:19:50.392835 : Epoch  6, Batch    679, Loss  0.566333, Average Loss  0.552285, Time  0.232102
2021-09-11 04:19:51.539996 : Epoch  2, Batch     98, Loss  0.878814, Average Loss  0.872097, Time  0.244913
2021-09-11 04:19:51.936907 : Epoch  6, Batch    680, Loss  0.560950, Average Loss  0.552282, Time  0.233388
2021-09-11 04:19:53.460382 : Epoch  6, Batch    681, Loss  0.547863, Average Loss  0.552239, Time  0.232437
2021-09-11 04:19:54.171056 : Epoch  2, Batch     99, Loss  0.866510, Average Loss  0.872051, Time  0.240438
2021-09-11 04:19:54.984347 : Epoch  6, Batch    682, Loss  0.546984, Average Loss  0.552222, Time  0.232116
2021-09-11 04:19:56.512596 : Epoch  6, Batch    683, Loss  0.555360, Average Loss  0.552253, Time  0.232710
2021-09-11 04:19:56.819083 : Epoch  2, Batch    100, Loss  0.860170, Average Loss  0.871997, Time  0.241136
2021-09-11 04:19:58.045181 : Epoch  6, Batch    684, Loss  0.550459, Average Loss  0.552328, Time  0.233206
2021-09-11 04:19:59.652420 : Epoch  2, Batch    101, Loss  0.883160, Average Loss  0.872023, Time  0.413557
2021-09-11 04:19:59.706300 : Epoch  6, Batch    685, Loss  0.556040, Average Loss  0.552323, Time  0.346855
2021-09-11 04:20:01.214998 : Epoch  6, Batch    686, Loss  0.560482, Average Loss  0.552399, Time  0.232002
2021-09-11 04:20:02.274985 : Epoch  2, Batch    102, Loss  0.856750, Average Loss  0.871898, Time  0.244169
2021-09-11 04:20:02.921796 : Epoch  6, Batch    687, Loss  0.550624, Average Loss  0.552412, Time  0.252599
2021-09-11 04:20:04.498901 : Epoch  6, Batch    688, Loss  0.555639, Average Loss  0.552436, Time  0.232951
2021-09-11 04:20:04.900959 : Epoch  2, Batch    103, Loss  0.889933, Average Loss  0.871962, Time  0.242493
2021-09-11 04:20:06.017834 : Epoch  6, Batch    689, Loss  0.544260, Average Loss  0.552420, Time  0.232084
2021-09-11 04:20:07.735860 : Epoch  2, Batch    104, Loss  0.862931, Average Loss  0.871942, Time  0.450121
2021-09-11 04:20:07.783635 : Epoch  6, Batch    690, Loss  0.548777, Average Loss  0.552412, Time  0.425918
2021-09-11 04:20:09.292041 : Epoch  6, Batch    691, Loss  0.546595, Average Loss  0.552400, Time  0.232647
2021-09-11 04:20:10.361937 : Epoch  2, Batch    105, Loss  0.886498, Average Loss  0.872156, Time  0.243601
2021-09-11 04:20:10.825812 : Epoch  6, Batch    692, Loss  0.541534, Average Loss  0.552317, Time  0.232010
2021-09-11 04:20:12.359563 : Epoch  6, Batch    693, Loss  0.555626, Average Loss  0.552355, Time  0.233022
2021-09-11 04:20:12.990364 : Epoch  2, Batch    106, Loss  0.871342, Average Loss  0.872132, Time  0.244557
2021-09-11 04:20:13.901904 : Epoch  6, Batch    694, Loss  0.549631, Average Loss  0.552337, Time  0.233119
2021-09-11 04:20:15.512380 : Epoch  6, Batch    695, Loss  0.564870, Average Loss  0.552420, Time  0.320446
2021-09-11 04:20:15.654850 : Epoch  2, Batch    107, Loss  0.872283, Average Loss  0.872144, Time  0.284951
2021-09-11 04:20:17.118253 : Epoch  6, Batch    696, Loss  0.544913, Average Loss  0.552310, Time  0.249298
2021-09-11 04:20:18.442201 : Epoch  2, Batch    108, Loss  0.885535, Average Loss  0.872246, Time  0.261723
2021-09-11 04:20:18.672683 : Epoch  6, Batch    697, Loss  0.557891, Average Loss  0.552296, Time  0.232893
2021-09-11 04:20:20.245980 : Epoch  6, Batch    698, Loss  0.552771, Average Loss  0.552352, Time  0.232132
2021-09-11 04:20:21.132818 : Epoch  2, Batch    109, Loss  0.860986, Average Loss  0.872176, Time  0.242127
2021-09-11 04:20:21.927873 : Epoch  6, Batch    699, Loss  0.557258, Average Loss  0.552365, Time  0.252110
2021-09-11 04:20:23.741017 : Epoch  6, Batch    700, Loss  0.561909, Average Loss  0.552366, Time  0.373880
2021-09-11 04:20:23.819090 : Epoch  2, Batch    110, Loss  0.898379, Average Loss  0.872258, Time  0.304403
2021-09-11 04:20:25.413783 : Epoch  6, Batch    701, Loss  0.561042, Average Loss  0.552407, Time  0.252255
2021-09-11 04:20:26.441126 : Epoch  2, Batch    111, Loss  0.869782, Average Loss  0.872284, Time  0.239093
2021-09-11 04:20:27.083656 : Epoch  6, Batch    702, Loss  0.551919, Average Loss  0.552436, Time  0.251704
2021-09-11 04:20:28.759018 : Epoch  6, Batch    703, Loss  0.550334, Average Loss  0.552331, Time  0.252297
2021-09-11 04:20:29.092966 : Epoch  2, Batch    112, Loss  0.844660, Average Loss  0.872220, Time  0.242225
2021-09-11 04:20:30.297515 : Epoch  6, Batch    704, Loss  0.543440, Average Loss  0.552268, Time  0.232190
2021-09-11 04:20:31.843387 : Epoch  2, Batch    113, Loss  0.861968, Average Loss  0.872116, Time  0.383115
2021-09-11 04:20:31.913118 : Epoch  6, Batch    705, Loss  0.541537, Average Loss  0.552222, Time  0.313702
2021-09-11 04:20:33.438333 : Epoch  6, Batch    706, Loss  0.559339, Average Loss  0.552213, Time  0.232664
2021-09-11 04:20:34.479538 : Epoch  2, Batch    114, Loss  0.879404, Average Loss  0.872189, Time  0.246275
2021-09-11 04:20:34.969894 : Epoch  6, Batch    707, Loss  0.552357, Average Loss  0.552234, Time  0.232092
2021-09-11 04:20:36.494804 : Epoch  6, Batch    708, Loss  0.544990, Average Loss  0.552188, Time  0.231856
2021-09-11 04:20:37.109358 : Epoch  2, Batch    115, Loss  0.877365, Average Loss  0.872155, Time  0.242506
2021-09-11 04:20:38.015919 : Epoch  6, Batch    709, Loss  0.547481, Average Loss  0.552121, Time  0.232592
2021-09-11 04:20:39.622307 : Epoch  6, Batch    710, Loss  0.549160, Average Loss  0.552086, Time  0.318607
2021-09-11 04:20:39.750989 : Epoch  2, Batch    116, Loss  0.875371, Average Loss  0.872203, Time  0.267446
2021-09-11 04:20:41.150233 : Epoch  6, Batch    711, Loss  0.556716, Average Loss  0.552121, Time  0.231814
2021-09-11 04:20:42.390589 : Epoch  2, Batch    117, Loss  0.875556, Average Loss  0.872289, Time  0.243644
2021-09-11 04:20:42.696042 : Epoch  6, Batch    712, Loss  0.564791, Average Loss  0.552159, Time  0.233053
2021-09-11 04:20:44.221689 : Epoch  6, Batch    713, Loss  0.556547, Average Loss  0.552116, Time  0.230909
2021-09-11 04:20:45.054184 : Epoch  2, Batch    118, Loss  0.864393, Average Loss  0.872343, Time  0.243022
2021-09-11 04:20:45.743237 : Epoch  6, Batch    714, Loss  0.539944, Average Loss  0.552085, Time  0.231760
2021-09-11 04:20:47.258820 : Epoch  6, Batch    715, Loss  0.558036, Average Loss  0.552147, Time  0.232426
2021-09-11 04:20:47.687021 : Epoch  2, Batch    119, Loss  0.891909, Average Loss  0.872363, Time  0.241829
2021-09-11 04:20:48.786022 : Epoch  6, Batch    716, Loss  0.564262, Average Loss  0.552246, Time  0.231922
2021-09-11 04:20:50.313484 : Epoch  2, Batch    120, Loss  0.865730, Average Loss  0.872417, Time  0.246834
2021-09-11 04:20:50.541304 : Epoch  6, Batch    717, Loss  0.554703, Average Loss  0.552218, Time  0.266019
2021-09-11 04:20:52.243752 : Epoch  6, Batch    718, Loss  0.565722, Average Loss  0.552310, Time  0.251754
2021-09-11 04:20:52.936840 : Epoch  2, Batch    121, Loss  0.882710, Average Loss  0.872478, Time  0.238817
2021-09-11 04:20:53.901469 : Epoch  6, Batch    719, Loss  0.548417, Average Loss  0.552319, Time  0.251438
2021-09-11 04:20:55.783964 : Epoch  2, Batch    122, Loss  0.873142, Average Loss  0.872378, Time  0.459123
2021-09-11 04:20:55.832219 : Epoch  6, Batch    720, Loss  0.552788, Average Loss  0.552302, Time  0.471621
2021-09-11 04:20:57.502829 : Epoch  6, Batch    721, Loss  0.555946, Average Loss  0.552333, Time  0.251650
2021-09-11 04:20:58.413400 : Epoch  2, Batch    123, Loss  0.876854, Average Loss  0.872510, Time  0.242178
2021-09-11 04:20:59.209022 : Epoch  6, Batch    722, Loss  0.546834, Average Loss  0.552317, Time  0.251594
2021-09-11 04:21:00.765787 : Epoch  6, Batch    723, Loss  0.539212, Average Loss  0.552275, Time  0.232781
2021-09-11 04:21:01.017233 : Epoch  2, Batch    124, Loss  0.849349, Average Loss  0.872414, Time  0.240384
2021-09-11 04:21:02.293085 : Epoch  6, Batch    724, Loss  0.556481, Average Loss  0.552258, Time  0.232804
2021-09-11 04:21:03.698410 : Epoch  2, Batch    125, Loss  0.871946, Average Loss  0.872374, Time  0.309980
2021-09-11 04:21:03.843902 : Epoch  6, Batch    725, Loss  0.562018, Average Loss  0.552326, Time  0.253603
2021-09-11 04:21:05.374855 : Epoch  6, Batch    726, Loss  0.536943, Average Loss  0.552177, Time  0.232000
2021-09-11 04:21:06.323424 : Epoch  2, Batch    126, Loss  0.888802, Average Loss  0.872381, Time  0.245809
2021-09-11 04:21:06.892848 : Epoch  6, Batch    727, Loss  0.555923, Average Loss  0.552170, Time  0.232460
2021-09-11 04:21:08.411783 : Epoch  6, Batch    728, Loss  0.552203, Average Loss  0.552167, Time  0.231938
2021-09-11 04:21:08.943953 : Epoch  2, Batch    127, Loss  0.893475, Average Loss  0.872466, Time  0.244237
2021-09-11 04:21:09.933877 : Epoch  6, Batch    729, Loss  0.543335, Average Loss  0.552080, Time  0.232073
2021-09-11 04:21:11.642044 : Epoch  6, Batch    730, Loss  0.558311, Average Loss  0.552093, Time  0.395665
2021-09-11 04:21:11.702035 : Epoch  2, Batch    128, Loss  0.869753, Average Loss  0.872448, Time  0.343395
2021-09-11 04:21:13.170864 : Epoch  6, Batch    731, Loss  0.545921, Average Loss  0.552047, Time  0.233030
2021-09-11 04:21:14.346898 : Epoch  2, Batch    129, Loss  0.883056, Average Loss  0.872514, Time  0.242981
2021-09-11 04:21:14.692894 : Epoch  6, Batch    732, Loss  0.553432, Average Loss  0.552042, Time  0.232113
2021-09-11 04:21:16.214365 : Epoch  6, Batch    733, Loss  0.556527, Average Loss  0.552069, Time  0.232433
2021-09-11 04:21:16.977801 : Epoch  2, Batch    130, Loss  0.876037, Average Loss  0.872591, Time  0.244297
2021-09-11 04:21:17.730845 : Epoch  6, Batch    734, Loss  0.567051, Average Loss  0.552172, Time  0.232249
2021-09-11 04:21:18.968712 : CheckPoint: Validation Loss  0.00061684, Best Loss  0.00057296
2021-09-11 04:21:19.268041 : Epoch  6, Batch    735, Loss  0.545375, Average Loss  0.552123, Time  0.242688
2021-09-11 04:21:19.588391 : Epoch  2, Batch    131, Loss  0.865823, Average Loss  0.872557, Time  0.238782
2021-09-11 04:21:20.613850 : Epoch  3, Batch   2479, Loss  0.874237, Average Loss  0.870547, Time  0.177838
2021-09-11 04:21:22.219530 : Epoch  2, Batch    132, Loss  0.875220, Average Loss  0.872625, Time  0.246287
2021-09-11 04:21:22.248796 : Epoch  3, Batch   2480, Loss  0.835892, Average Loss  0.870290, Time  0.174135
2021-09-11 04:21:23.443794 : Epoch  6, Batch    736, Loss  0.571922, Average Loss  0.552240, Time  0.232802
2021-09-11 04:21:23.907776 : Epoch  3, Batch   2481, Loss  0.864660, Average Loss  0.870225, Time  0.179306
2021-09-11 04:21:25.017798 : Epoch  2, Batch    133, Loss  0.857726, Average Loss  0.872487, Time  0.409330
2021-09-11 04:21:25.065273 : Epoch  6, Batch    737, Loss  0.560109, Average Loss  0.552289, Time  0.343113
2021-09-11 04:21:25.561055 : Epoch  3, Batch   2482, Loss  0.856336, Average Loss  0.870035, Time  0.201696
2021-09-11 04:21:26.559252 : Epoch  6, Batch    738, Loss  0.539349, Average Loss  0.552182, Time  0.231900
2021-09-11 04:21:27.193755 : Epoch  3, Batch   2483, Loss  0.884269, Average Loss  0.870060, Time  0.170741
2021-09-11 04:21:27.636185 : Epoch  2, Batch    134, Loss  0.878492, Average Loss  0.872560, Time  0.243898
2021-09-11 04:21:28.070868 : Epoch  6, Batch    739, Loss  0.556390, Average Loss  0.552218, Time  0.232197
2021-09-11 04:21:28.831027 : Epoch  3, Batch   2484, Loss  0.892103, Average Loss  0.870244, Time  0.187047
2021-09-11 04:21:29.573862 : Epoch  6, Batch    740, Loss  0.545941, Average Loss  0.552164, Time  0.231812
2021-09-11 04:21:30.261127 : Epoch  2, Batch    135, Loss  0.867034, Average Loss  0.872469, Time  0.241035
2021-09-11 04:21:30.476022 : Epoch  3, Batch   2485, Loss  0.875000, Average Loss  0.870260, Time  0.174940
2021-09-11 04:21:31.087082 : Epoch  6, Batch    741, Loss  0.538359, Average Loss  0.552087, Time  0.232060
2021-09-11 04:21:32.105030 : Epoch  3, Batch   2486, Loss  0.877668, Average Loss  0.870312, Time  0.173854
2021-09-11 04:21:32.631216 : Epoch  6, Batch    742, Loss  0.544379, Average Loss  0.552062, Time  0.232752
2021-09-11 04:21:32.882139 : Epoch  2, Batch    136, Loss  0.854890, Average Loss  0.872339, Time  0.245246
2021-09-11 04:21:33.753847 : Epoch  3, Batch   2487, Loss  0.871566, Average Loss  0.870326, Time  0.175651
2021-09-11 04:21:34.162296 : Epoch  6, Batch    743, Loss  0.554991, Average Loss  0.552041, Time  0.232572
2021-09-11 04:21:35.400037 : Epoch  3, Batch   2488, Loss  0.892648, Average Loss  0.870436, Time  0.176497
2021-09-11 04:21:35.602974 : Epoch  2, Batch    137, Loss  0.869973, Average Loss  0.872265, Time  0.329920
2021-09-11 04:21:35.720244 : Epoch  6, Batch    744, Loss  0.544718, Average Loss  0.552015, Time  0.265913
2021-09-11 04:21:37.014029 : Epoch  3, Batch   2489, Loss  0.886526, Average Loss  0.870544, Time  0.178199
2021-09-11 04:21:37.239809 : Epoch  6, Batch    745, Loss  0.548684, Average Loss  0.551995, Time  0.231870
2021-09-11 04:21:38.225995 : Epoch  2, Batch    138, Loss  0.882561, Average Loss  0.872327, Time  0.238972
2021-09-11 04:21:38.628141 : Epoch  3, Batch   2490, Loss  0.862240, Average Loss  0.870415, Time  0.180723
2021-09-11 04:21:38.764816 : Epoch  6, Batch    746, Loss  0.544202, Average Loss  0.551926, Time  0.233789
2021-09-11 04:21:40.246024 : Epoch  3, Batch   2491, Loss  0.874805, Average Loss  0.870511, Time  0.177367
2021-09-11 04:21:40.298065 : Epoch  6, Batch    747, Loss  0.557733, Average Loss  0.551995, Time  0.233198
2021-09-11 04:21:40.845101 : Epoch  2, Batch    139, Loss  0.875437, Average Loss  0.872411, Time  0.244291
2021-09-11 04:21:41.817816 : Epoch  6, Batch    748, Loss  0.533368, Average Loss  0.551889, Time  0.232675
2021-09-11 04:21:41.886825 : Epoch  3, Batch   2492, Loss  0.823465, Average Loss  0.870221, Time  0.177767
2021-09-11 04:21:43.518032 : Epoch  3, Batch   2493, Loss  0.875868, Average Loss  0.870449, Time  0.177328
2021-09-11 04:21:43.577339 : Epoch  6, Batch    749, Loss  0.550031, Average Loss  0.551884, Time  0.437813
2021-09-11 04:21:43.617671 : Epoch  2, Batch    140, Loss  0.867556, Average Loss  0.872388, Time  0.376159
2021-09-11 04:21:45.078005 : Epoch  6, Batch    750, Loss  0.560474, Average Loss  0.551816, Time  0.232467
2021-09-11 04:21:45.155023 : Epoch  3, Batch   2494, Loss  0.884374, Average Loss  0.870559, Time  0.173042
2021-09-11 04:21:46.254011 : Epoch  2, Batch    141, Loss  0.864914, Average Loss  0.872420, Time  0.243315
2021-09-11 04:21:46.587451 : Epoch  6, Batch    751, Loss  0.558107, Average Loss  0.551839, Time  0.231892
2021-09-11 04:21:46.755889 : Epoch  3, Batch   2495, Loss  0.902800, Average Loss  0.870796, Time  0.172595
2021-09-11 04:21:48.133768 : Epoch  6, Batch    752, Loss  0.552491, Average Loss  0.551845, Time  0.232423
2021-09-11 04:21:48.414037 : Epoch  3, Batch   2496, Loss  0.886177, Average Loss  0.870859, Time  0.173167
2021-09-11 04:21:48.875086 : Epoch  2, Batch    142, Loss  0.859375, Average Loss  0.872235, Time  0.242746
2021-09-11 04:21:49.676964 : Epoch  6, Batch    753, Loss  0.552064, Average Loss  0.551765, Time  0.234529
2021-09-11 04:21:50.052854 : Epoch  3, Batch   2497, Loss  0.906550, Average Loss  0.871049, Time  0.170698
2021-09-11 04:21:51.205335 : Epoch  6, Batch    754, Loss  0.561505, Average Loss  0.551866, Time  0.231948
2021-09-11 04:21:51.485970 : Epoch  2, Batch    143, Loss  0.863324, Average Loss  0.872146, Time  0.245673
2021-09-11 04:21:51.726033 : Epoch  3, Batch   2498, Loss  0.861992, Average Loss  0.870981, Time  0.192488
2021-09-11 04:21:52.769062 : Epoch  6, Batch    755, Loss  0.541708, Average Loss  0.551792, Time  0.232236
2021-09-11 04:21:53.379301 : Epoch  3, Batch   2499, Loss  0.865875, Average Loss  0.871148, Time  0.172190
2021-09-11 04:21:54.296822 : Epoch  6, Batch    756, Loss  0.552766, Average Loss  0.551755, Time  0.232796
2021-09-11 04:21:55.018811 : Epoch  3, Batch   2500, Loss  0.862020, Average Loss  0.871105, Time  0.169791
2021-09-11 04:21:55.834937 : Epoch  6, Batch    757, Loss  0.541021, Average Loss  0.551664, Time  0.233591
2021-09-11 04:21:56.638763 : Epoch  3, Batch   2501, Loss  0.855478, Average Loss  0.871012, Time  0.171353
2021-09-11 04:21:57.369451 : Epoch  6, Batch    758, Loss  0.544703, Average Loss  0.551650, Time  0.232453
2021-09-11 04:21:58.238849 : Epoch  3, Batch   2502, Loss  0.854466, Average Loss  0.870984, Time  0.176124
2021-09-11 04:21:59.048948 : Epoch  6, Batch    759, Loss  0.560833, Average Loss  0.551649, Time  0.261614
2021-09-11 04:21:59.870847 : Epoch  3, Batch   2503, Loss  0.880066, Average Loss  0.870998, Time  0.175253
2021-09-11 04:22:00.742904 : Epoch  6, Batch    760, Loss  0.543813, Average Loss  0.551609, Time  0.259258
2021-09-11 04:22:01.505038 : Epoch  3, Batch   2504, Loss  0.858430, Average Loss  0.870838, Time  0.176913
2021-09-11 04:22:02.397943 : Epoch  6, Batch    761, Loss  0.546801, Average Loss  0.551567, Time  0.234087
2021-09-11 04:22:03.151834 : Epoch  3, Batch   2505, Loss  0.850211, Average Loss  0.870687, Time  0.173922
2021-09-11 04:22:04.058391 : Epoch  6, Batch    762, Loss  0.556275, Average Loss  0.551612, Time  0.375992
2021-09-11 04:22:04.106891 : Epoch  2, Batch    144, Loss  0.873298, Average Loss  0.872027, Time  0.464499
2021-09-11 04:22:04.783788 : Epoch  3, Batch   2506, Loss  0.871398, Average Loss  0.870654, Time  0.171114
2021-09-11 04:22:05.721374 : Epoch  6, Batch    763, Loss  0.555258, Average Loss  0.551632, Time  0.252764
2021-09-11 04:22:06.405768 : Epoch  3, Batch   2507, Loss  0.881144, Average Loss  0.870665, Time  0.169781
2021-09-11 04:22:07.255996 : Epoch  6, Batch    764, Loss  0.556214, Average Loss  0.551665, Time  0.233578
2021-09-11 04:22:08.030841 : Epoch  3, Batch   2508, Loss  0.859836, Average Loss  0.870645, Time  0.169943
2021-09-11 04:22:08.783712 : Epoch  6, Batch    765, Loss  0.570682, Average Loss  0.551751, Time  0.233112
2021-09-11 04:22:09.661734 : Epoch  3, Batch   2509, Loss  0.879352, Average Loss  0.870733, Time  0.169703
2021-09-11 04:22:11.298844 : Epoch  3, Batch   2510, Loss  0.875972, Average Loss  0.870723, Time  0.169813
2021-09-11 04:22:12.932001 : Epoch  3, Batch   2511, Loss  0.874071, Average Loss  0.870785, Time  0.169636
2021-09-11 04:22:14.564749 : Epoch  3, Batch   2512, Loss  0.871367, Average Loss  0.870870, Time  0.169940
2021-09-11 04:22:16.186920 : Epoch  3, Batch   2513, Loss  0.851007, Average Loss  0.870849, Time  0.169613
2021-09-11 04:22:17.824795 : Epoch  3, Batch   2514, Loss  0.903754, Average Loss  0.871052, Time  0.169970
2021-09-11 04:22:19.465171 : Epoch  3, Batch   2515, Loss  0.896248, Average Loss  0.871214, Time  0.169529
2021-09-11 04:22:21.102826 : Epoch  3, Batch   2516, Loss  0.871397, Average Loss  0.871084, Time  0.169799
2021-09-11 04:22:22.716998 : Epoch  3, Batch   2517, Loss  0.882911, Average Loss  0.871054, Time  0.169858
2021-09-11 04:22:24.348804 : Epoch  3, Batch   2518, Loss  0.894893, Average Loss  0.871176, Time  0.169472
2021-09-11 04:22:25.971010 : Epoch  3, Batch   2519, Loss  0.908935, Average Loss  0.871214, Time  0.169944
2021-09-11 04:22:27.589050 : Epoch  3, Batch   2520, Loss  0.862318, Average Loss  0.871235, Time  0.169817
2021-09-11 04:22:29.228983 : Epoch  3, Batch   2521, Loss  0.873895, Average Loss  0.871283, Time  0.169759
2021-09-11 04:22:30.843876 : Epoch  3, Batch   2522, Loss  0.862188, Average Loss  0.871419, Time  0.169783
2021-09-11 04:22:32.492835 : Epoch  3, Batch   2523, Loss  0.860710, Average Loss  0.871437, Time  0.170228
2021-09-11 04:22:34.130776 : Epoch  3, Batch   2524, Loss  0.899242, Average Loss  0.871579, Time  0.169366
2021-09-11 04:22:35.754001 : Epoch  3, Batch   2525, Loss  0.865952, Average Loss  0.871648, Time  0.169936
2021-09-11 04:22:37.373033 : Epoch  3, Batch   2526, Loss  0.873939, Average Loss  0.871746, Time  0.169786
2021-09-11 04:22:39.016846 : Epoch  3, Batch   2527, Loss  0.856470, Average Loss  0.871593, Time  0.170038
2021-09-11 04:22:40.639812 : Epoch  3, Batch   2528, Loss  0.863607, Average Loss  0.871621, Time  0.169598
2021-09-11 04:22:42.261757 : Epoch  3, Batch   2529, Loss  0.856558, Average Loss  0.871523, Time  0.169929
2021-09-11 04:22:43.887821 : Epoch  3, Batch   2530, Loss  0.855272, Average Loss  0.871554, Time  0.169929
2021-09-11 04:22:45.509811 : Epoch  3, Batch   2531, Loss  0.887671, Average Loss  0.871632, Time  0.170391
2021-09-11 04:22:47.141825 : Epoch  3, Batch   2532, Loss  0.860241, Average Loss  0.871550, Time  0.169962
2021-09-11 04:22:48.755830 : Epoch  3, Batch   2533, Loss  0.851963, Average Loss  0.871474, Time  0.170340
2021-09-11 04:22:50.380828 : Epoch  3, Batch   2534, Loss  0.876326, Average Loss  0.871396, Time  0.170102
2021-09-11 04:22:52.018059 : Epoch  3, Batch   2535, Loss  0.865170, Average Loss  0.871310, Time  0.169931
2021-09-11 04:22:53.659039 : Epoch  3, Batch   2536, Loss  0.870913, Average Loss  0.871353, Time  0.170011
2021-09-11 04:22:55.292822 : Epoch  3, Batch   2537, Loss  0.878128, Average Loss  0.871292, Time  0.170029
2021-09-11 04:22:56.917030 : Epoch  3, Batch   2538, Loss  0.881769, Average Loss  0.871586, Time  0.169953
2021-09-11 04:22:58.552815 : Epoch  3, Batch   2539, Loss  0.877084, Average Loss  0.871551, Time  0.169842
2021-09-11 04:23:00.202915 : Epoch  3, Batch   2540, Loss  0.864467, Average Loss  0.871583, Time  0.177396
2021-09-11 04:23:01.839758 : Epoch  3, Batch   2541, Loss  0.885163, Average Loss  0.871682, Time  0.170051
2021-09-11 04:23:03.472879 : Epoch  3, Batch   2542, Loss  0.872138, Average Loss  0.871543, Time  0.169451
2021-09-11 04:23:04.935880 : CheckPoint: Validation Loss  0.00021921, Best Loss  0.00021921
2021-09-11 04:23:04.987569 : Best Model Updated
2021-09-11 04:23:05.080781 : Epoch  3, Batch   2543, Loss  0.853936, Average Loss  0.871437, Time  0.169766
2021-09-11 04:23:06.693861 : Epoch  3, Batch   2544, Loss  0.862683, Average Loss  0.871386, Time  0.170080
2021-09-11 04:23:07.655884 : Epoch  6, Batch    766, Loss  0.551838, Average Loss  0.551756, Time  0.312828
2021-09-11 04:23:08.306898 : Epoch  3, Batch   2545, Loss  0.890721, Average Loss  0.871342, Time  0.169609
2021-09-11 04:23:09.176756 : Epoch  6, Batch    767, Loss  0.560169, Average Loss  0.551804, Time  0.231868
2021-09-11 04:23:09.916920 : Epoch  3, Batch   2546, Loss  0.886584, Average Loss  0.871554, Time  0.169988
2021-09-11 04:23:10.692140 : Epoch  6, Batch    768, Loss  0.537610, Average Loss  0.551769, Time  0.231857
2021-09-11 04:23:11.556826 : Epoch  3, Batch   2547, Loss  0.853270, Average Loss  0.871617, Time  0.169639
2021-09-11 04:23:12.215335 : Epoch  6, Batch    769, Loss  0.545447, Average Loss  0.551703, Time  0.233680
2021-09-11 04:23:13.184997 : Epoch  3, Batch   2548, Loss  0.872180, Average Loss  0.871720, Time  0.169881
2021-09-11 04:23:13.754357 : Epoch  6, Batch    770, Loss  0.551419, Average Loss  0.551635, Time  0.233275
2021-09-11 04:23:14.799819 : Epoch  3, Batch   2549, Loss  0.846228, Average Loss  0.871665, Time  0.169444
2021-09-11 04:23:15.275599 : Epoch  6, Batch    771, Loss  0.559444, Average Loss  0.551710, Time  0.232071
2021-09-11 04:23:16.441789 : Epoch  3, Batch   2550, Loss  0.848908, Average Loss  0.871568, Time  0.170213
2021-09-11 04:23:16.797839 : Epoch  6, Batch    772, Loss  0.550227, Average Loss  0.551782, Time  0.231840
2021-09-11 04:23:18.065981 : Epoch  3, Batch   2551, Loss  0.872749, Average Loss  0.871596, Time  0.169533
2021-09-11 04:23:18.319955 : Epoch  6, Batch    773, Loss  0.545110, Average Loss  0.551731, Time  0.232592
2021-09-11 04:23:19.734944 : Epoch  3, Batch   2552, Loss  0.851420, Average Loss  0.871603, Time  0.169889
2021-09-11 04:23:19.847347 : Epoch  6, Batch    774, Loss  0.540687, Average Loss  0.551631, Time  0.232080
2021-09-11 04:23:21.358755 : Epoch  3, Batch   2553, Loss  0.901530, Average Loss  0.871825, Time  0.169897
2021-09-11 04:23:22.860141 : Epoch  6, Batch    776, Loss  0.553957, Average Loss  0.551735, Time  0.232244
2021-09-11 04:23:23.021812 : Epoch  3, Batch   2554, Loss  0.852754, Average Loss  0.871730, Time  0.169610
2021-09-11 04:23:24.411256 : Epoch  6, Batch    777, Loss  0.546719, Average Loss  0.551651, Time  0.249611
2021-09-11 04:23:24.646800 : Epoch  3, Batch   2555, Loss  0.853265, Average Loss  0.871664, Time  0.169875
2021-09-11 04:23:25.920477 : Epoch  6, Batch    778, Loss  0.552855, Average Loss  0.551661, Time  0.231821
2021-09-11 04:23:26.260862 : Epoch  3, Batch   2556, Loss  0.894315, Average Loss  0.871915, Time  0.171920
2021-09-11 04:23:27.434912 : Epoch  6, Batch    779, Loss  0.570829, Average Loss  0.551773, Time  0.232128
2021-09-11 04:23:27.881812 : Epoch  3, Batch   2557, Loss  0.856517, Average Loss  0.871904, Time  0.169254
2021-09-11 04:23:29.050916 : Epoch  6, Batch    780, Loss  0.553434, Average Loss  0.551847, Time  0.314908
2021-09-11 04:23:29.504735 : Epoch  3, Batch   2558, Loss  0.871698, Average Loss  0.871986, Time  0.170075
2021-09-11 04:23:30.569867 : Epoch  6, Batch    781, Loss  0.551266, Average Loss  0.551787, Time  0.233090
2021-09-11 04:23:31.136817 : Epoch  3, Batch   2559, Loss  0.896645, Average Loss  0.872127, Time  0.170130
2021-09-11 04:23:32.098747 : Epoch  6, Batch    782, Loss  0.547051, Average Loss  0.551699, Time  0.231764
2021-09-11 04:23:32.775736 : Epoch  3, Batch   2560, Loss  0.854187, Average Loss  0.872096, Time  0.169563
2021-09-11 04:23:33.619757 : Epoch  6, Batch    783, Loss  0.559776, Average Loss  0.551767, Time  0.232857
2021-09-11 04:23:34.423997 : Epoch  3, Batch   2561, Loss  0.853589, Average Loss  0.871866, Time  0.169788
2021-09-11 04:23:35.140796 : Epoch  6, Batch    784, Loss  0.569675, Average Loss  0.551867, Time  0.232061
2021-09-11 04:23:36.039842 : Epoch  3, Batch   2562, Loss  0.832625, Average Loss  0.871682, Time  0.169708
2021-09-11 04:23:36.662782 : Epoch  6, Batch    785, Loss  0.548408, Average Loss  0.551833, Time  0.232392
2021-09-11 04:23:37.665992 : Epoch  3, Batch   2563, Loss  0.888475, Average Loss  0.871680, Time  0.169557
2021-09-11 04:23:38.201193 : Epoch  6, Batch    786, Loss  0.564163, Average Loss  0.551876, Time  0.233159
2021-09-11 04:23:39.279851 : Epoch  3, Batch   2564, Loss  0.884959, Average Loss  0.871757, Time  0.169830
2021-09-11 04:23:39.875833 : Epoch  6, Batch    787, Loss  0.548366, Average Loss  0.551910, Time  0.250198
2021-09-11 04:23:39.928565 : Saving Model after 6-th Epoch.
2021-09-11 04:23:40.725627 : Epoch Finished.
2021-09-11 04:23:40.916730 : Epoch  3, Batch   2565, Loss  0.884784, Average Loss  0.871850, Time  0.169822
2021-09-11 04:23:42.526998 : Epoch  3, Batch   2566, Loss  0.859040, Average Loss  0.871599, Time  0.169572
2021-09-11 04:23:43.117612 : Batch Shuffled
2021-09-11 04:23:44.151782 : Epoch  3, Batch   2567, Loss  0.881706, Average Loss  0.871663, Time  0.169667
2021-09-11 04:23:44.795831 : Epoch  7, Batch      1, Loss  0.544626, Average Loss  0.551891, Time  0.274111
2021-09-11 04:23:45.778002 : Epoch  3, Batch   2568, Loss  0.860895, Average Loss  0.871654, Time  0.169405
2021-09-11 04:23:46.448116 : Epoch  7, Batch      2, Loss  0.546272, Average Loss  0.551865, Time  0.251601
2021-09-11 04:23:47.392842 : Epoch  3, Batch   2569, Loss  0.888414, Average Loss  0.871735, Time  0.169845
2021-09-11 04:23:48.216875 : Epoch  7, Batch      3, Loss  0.556173, Average Loss  0.551958, Time  0.333480
2021-09-11 04:23:48.999796 : Epoch  3, Batch   2570, Loss  0.879040, Average Loss  0.871790, Time  0.169423
2021-09-11 04:23:49.893839 : Epoch  7, Batch      4, Loss  0.555813, Average Loss  0.551946, Time  0.251104
2021-09-11 04:23:50.624805 : Epoch  3, Batch   2571, Loss  0.865590, Average Loss  0.871746, Time  0.170022
2021-09-11 04:23:51.569464 : Epoch  7, Batch      5, Loss  0.531969, Average Loss  0.551844, Time  0.251616
2021-09-11 04:23:52.254890 : Epoch  3, Batch   2572, Loss  0.858068, Average Loss  0.871698, Time  0.169686
2021-09-11 04:23:53.153212 : Epoch  7, Batch      6, Loss  0.555107, Average Loss  0.551890, Time  0.251307
2021-09-11 04:23:53.863747 : Epoch  3, Batch   2573, Loss  0.863672, Average Loss  0.871751, Time  0.169628
2021-09-11 04:23:54.713088 : Epoch  7, Batch      7, Loss  0.540395, Average Loss  0.551800, Time  0.233287
2021-09-11 04:23:55.495082 : Epoch  3, Batch   2574, Loss  0.877926, Average Loss  0.871641, Time  0.170192
2021-09-11 04:23:56.270854 : Epoch  7, Batch      8, Loss  0.556395, Average Loss  0.551826, Time  0.232643
2021-09-11 04:23:57.140786 : Epoch  3, Batch   2575, Loss  0.864862, Average Loss  0.871534, Time  0.170142
2021-09-11 04:23:57.890311 : Epoch  7, Batch      9, Loss  0.545361, Average Loss  0.551766, Time  0.317458
2021-09-11 04:23:58.774757 : Epoch  3, Batch   2576, Loss  0.859959, Average Loss  0.871538, Time  0.170621
2021-09-11 04:23:59.411980 : Epoch  7, Batch     10, Loss  0.556067, Average Loss  0.551833, Time  0.232693
2021-09-11 04:24:00.399026 : Epoch  3, Batch   2577, Loss  0.876530, Average Loss  0.871602, Time  0.169777
2021-09-11 04:24:00.935742 : Epoch  7, Batch     11, Loss  0.543041, Average Loss  0.551801, Time  0.231887
2021-09-11 04:24:02.446803 : Epoch  7, Batch     12, Loss  0.542792, Average Loss  0.551747, Time  0.232244
2021-09-11 04:24:03.986425 : Epoch  7, Batch     13, Loss  0.552790, Average Loss  0.551716, Time  0.232855
2021-09-11 04:24:05.517925 : Epoch  7, Batch     14, Loss  0.553905, Average Loss  0.551689, Time  0.232823
2021-09-11 04:24:07.033433 : Epoch  7, Batch     15, Loss  0.545747, Average Loss  0.551653, Time  0.231827
2021-09-11 04:24:07.578051 : Epoch  3, Batch   2578, Loss  0.871239, Average Loss  0.871452, Time  0.178658
2021-09-11 04:24:08.553132 : Epoch  7, Batch     16, Loss  0.551089, Average Loss  0.551630, Time  0.232207
2021-09-11 04:24:10.081872 : Epoch  7, Batch     17, Loss  0.563869, Average Loss  0.551640, Time  0.232802
2021-09-11 04:24:11.606503 : Epoch  7, Batch     18, Loss  0.549292, Average Loss  0.551616, Time  0.231933
2021-09-11 04:24:13.122009 : Epoch  7, Batch     19, Loss  0.542669, Average Loss  0.551521, Time  0.231779
2021-09-11 04:24:14.717263 : Epoch  7, Batch     20, Loss  0.548573, Average Loss  0.551548, Time  0.309774
2021-09-11 04:24:16.247350 : Epoch  7, Batch     21, Loss  0.554123, Average Loss  0.551554, Time  0.232171
2021-09-11 04:24:17.763413 : Epoch  7, Batch     22, Loss  0.555879, Average Loss  0.551593, Time  0.232228
2021-09-11 04:24:19.379191 : Epoch  7, Batch     23, Loss  0.544692, Average Loss  0.551525, Time  0.314407
2021-09-11 04:24:20.922287 : Epoch  7, Batch     24, Loss  0.561889, Average Loss  0.551521, Time  0.233860
2021-09-11 04:24:22.491488 : Epoch  7, Batch     25, Loss  0.559738, Average Loss  0.551622, Time  0.232330
2021-09-11 04:24:24.012279 : Epoch  7, Batch     26, Loss  0.545448, Average Loss  0.551520, Time  0.232106
2021-09-11 04:24:25.543212 : Epoch  7, Batch     27, Loss  0.556430, Average Loss  0.551633, Time  0.233921
2021-09-11 04:24:27.078179 : Epoch  7, Batch     28, Loss  0.553968, Average Loss  0.551611, Time  0.233099
2021-09-11 04:24:28.594810 : Epoch  7, Batch     29, Loss  0.558136, Average Loss  0.551677, Time  0.232044
2021-09-11 04:24:30.106825 : Epoch  7, Batch     30, Loss  0.552964, Average Loss  0.551785, Time  0.232000
2021-09-11 04:24:31.640381 : Epoch  7, Batch     31, Loss  0.538960, Average Loss  0.551781, Time  0.233325
2021-09-11 04:24:33.156415 : Epoch  7, Batch     32, Loss  0.549164, Average Loss  0.551733, Time  0.232068
2021-09-11 04:24:34.673920 : Epoch  7, Batch     33, Loss  0.551455, Average Loss  0.551784, Time  0.232243
2021-09-11 04:24:36.278369 : Epoch  7, Batch     34, Loss  0.553353, Average Loss  0.551839, Time  0.314349
2021-09-11 04:24:38.024094 : Epoch  7, Batch     35, Loss  0.550611, Average Loss  0.551790, Time  0.232329
2021-09-11 04:24:39.678686 : Epoch  7, Batch     36, Loss  0.558798, Average Loss  0.551792, Time  0.251450
2021-09-11 04:24:41.365907 : Epoch  7, Batch     37, Loss  0.553151, Average Loss  0.551798, Time  0.252898
2021-09-11 04:24:43.045552 : Epoch  7, Batch     38, Loss  0.550099, Average Loss  0.551782, Time  0.251431
2021-09-11 04:24:44.718048 : Epoch  7, Batch     39, Loss  0.540877, Average Loss  0.551802, Time  0.251301
2021-09-11 04:24:46.407387 : Epoch  7, Batch     40, Loss  0.551905, Average Loss  0.551797, Time  0.254146
2021-09-11 04:24:48.167188 : Epoch  7, Batch     41, Loss  0.552216, Average Loss  0.551804, Time  0.332533
2021-09-11 04:24:49.737343 : Epoch  7, Batch     42, Loss  0.543289, Average Loss  0.551788, Time  0.236406
2021-09-11 04:24:51.276020 : Epoch  7, Batch     43, Loss  0.552205, Average Loss  0.551780, Time  0.233343
2021-09-11 04:24:52.800733 : Epoch  7, Batch     44, Loss  0.543166, Average Loss  0.551800, Time  0.232692
2021-09-11 04:24:54.321612 : Epoch  7, Batch     45, Loss  0.539405, Average Loss  0.551747, Time  0.232155
2021-09-11 04:24:55.961151 : Epoch  7, Batch     46, Loss  0.573719, Average Loss  0.551871, Time  0.235321
2021-09-11 04:24:57.495976 : Epoch  7, Batch     47, Loss  0.566785, Average Loss  0.551929, Time  0.234243
2021-09-11 04:24:59.016825 : Epoch  7, Batch     48, Loss  0.550996, Average Loss  0.551973, Time  0.232691
2021-09-11 04:25:00.530777 : Epoch  7, Batch     49, Loss  0.557704, Average Loss  0.551994, Time  0.232175
2021-09-11 04:25:02.055967 : Epoch  7, Batch     50, Loss  0.537640, Average Loss  0.551941, Time  0.232780
2021-09-11 04:25:03.711837 : Epoch  7, Batch     51, Loss  0.548358, Average Loss  0.551946, Time  0.277718
2021-09-11 04:25:05.286262 : Epoch  7, Batch     52, Loss  0.548308, Average Loss  0.551966, Time  0.232188
2021-09-11 04:25:06.975062 : Epoch  7, Batch     53, Loss  0.566661, Average Loss  0.552050, Time  0.252560
2021-09-11 04:25:08.680763 : Epoch  7, Batch     54, Loss  0.553835, Average Loss  0.552048, Time  0.255754
2021-09-11 04:25:10.253993 : Epoch  7, Batch     55, Loss  0.556413, Average Loss  0.552068, Time  0.236663
2021-09-11 04:25:11.792844 : Epoch  7, Batch     56, Loss  0.550731, Average Loss  0.552074, Time  0.233602
2021-09-11 04:25:13.484554 : Epoch  7, Batch     57, Loss  0.565152, Average Loss  0.552093, Time  0.252637
2021-09-11 04:25:15.164794 : Epoch  7, Batch     58, Loss  0.551327, Average Loss  0.552103, Time  0.251503
2021-09-11 04:25:16.710921 : Epoch  7, Batch     59, Loss  0.559243, Average Loss  0.552193, Time  0.232927
2021-09-11 04:25:18.236467 : Epoch  7, Batch     60, Loss  0.566518, Average Loss  0.552264, Time  0.232151
2021-09-11 04:25:19.902303 : Epoch  7, Batch     61, Loss  0.546668, Average Loss  0.552232, Time  0.251142
2021-09-11 04:25:21.567329 : Epoch  7, Batch     62, Loss  0.547256, Average Loss  0.552196, Time  0.251738
2021-09-11 04:25:23.181327 : Epoch  7, Batch     63, Loss  0.553896, Average Loss  0.552188, Time  0.231954
2021-09-11 04:25:24.710077 : Epoch  7, Batch     64, Loss  0.556116, Average Loss  0.552217, Time  0.232708
2021-09-11 04:25:26.413974 : Epoch  7, Batch     65, Loss  0.554727, Average Loss  0.552201, Time  0.253230
2021-09-11 04:25:28.100840 : Epoch  7, Batch     66, Loss  0.556150, Average Loss  0.552202, Time  0.251809
2021-09-11 04:25:29.775371 : Epoch  7, Batch     67, Loss  0.545510, Average Loss  0.552147, Time  0.251823
2021-09-11 04:25:31.538428 : Epoch  7, Batch     68, Loss  0.536962, Average Loss  0.552065, Time  0.334735
2021-09-11 04:25:33.216968 : Epoch  7, Batch     69, Loss  0.534144, Average Loss  0.552019, Time  0.251904
2021-09-11 04:25:34.781013 : Epoch  7, Batch     70, Loss  0.546775, Average Loss  0.552028, Time  0.234302
2021-09-11 04:25:36.413401 : Epoch  7, Batch     71, Loss  0.557633, Average Loss  0.552093, Time  0.301352
2021-09-11 04:25:37.938861 : Epoch  7, Batch     72, Loss  0.555150, Average Loss  0.552090, Time  0.231799
2021-09-11 04:25:39.452253 : Epoch  7, Batch     73, Loss  0.546650, Average Loss  0.552011, Time  0.231847
2021-09-11 04:25:40.966316 : Epoch  7, Batch     74, Loss  0.537429, Average Loss  0.551922, Time  0.232138
2021-09-11 04:25:42.498338 : Epoch  7, Batch     75, Loss  0.536549, Average Loss  0.551808, Time  0.232749
2021-09-11 04:25:44.037858 : Epoch  7, Batch     76, Loss  0.548428, Average Loss  0.551734, Time  0.233271
2021-09-11 04:25:45.559249 : Epoch  7, Batch     77, Loss  0.560347, Average Loss  0.551758, Time  0.230870
2021-09-11 04:25:47.093774 : Epoch  7, Batch     78, Loss  0.562414, Average Loss  0.551780, Time  0.232003
2021-09-11 04:26:06.397852 : CheckPoint: Validation Loss  0.00030801, Best Loss  0.00029547
2021-09-11 04:26:09.052248 : Epoch  2, Batch    145, Loss  0.853431, Average Loss  0.871914, Time  0.241897
2021-09-11 04:26:11.789852 : Epoch  2, Batch    146, Loss  0.872474, Average Loss  0.871828, Time  0.262262
2021-09-11 04:26:14.422916 : Epoch  2, Batch    147, Loss  0.886622, Average Loss  0.871921, Time  0.250159
2021-09-11 04:26:17.027401 : Epoch  2, Batch    148, Loss  0.870607, Average Loss  0.871949, Time  0.242150
2021-09-11 04:26:19.640102 : Epoch  2, Batch    149, Loss  0.851597, Average Loss  0.871853, Time  0.240712
2021-09-11 04:26:22.349431 : Epoch  2, Batch    150, Loss  0.884617, Average Loss  0.871965, Time  0.262345
2021-09-11 04:26:25.066045 : Epoch  2, Batch    151, Loss  0.885246, Average Loss  0.871945, Time  0.260749
2021-09-11 04:26:27.673798 : Epoch  2, Batch    152, Loss  0.864663, Average Loss  0.871893, Time  0.242157
2021-09-11 04:26:30.287794 : Epoch  2, Batch    153, Loss  0.864712, Average Loss  0.871929, Time  0.243225
2021-09-11 04:26:32.890019 : Epoch  2, Batch    154, Loss  0.883147, Average Loss  0.872077, Time  0.243315
2021-09-11 04:26:35.520099 : Epoch  2, Batch    155, Loss  0.862053, Average Loss  0.872032, Time  0.242398
2021-09-11 04:26:38.143894 : Epoch  2, Batch    156, Loss  0.868407, Average Loss  0.872022, Time  0.244155
2021-09-11 04:26:40.770155 : Epoch  2, Batch    157, Loss  0.889036, Average Loss  0.872105, Time  0.242116
2021-09-11 04:26:42.746996 : CheckPoint: Validation Loss  0.00022991, Best Loss  0.00021921
2021-09-11 04:26:43.412527 : Epoch  2, Batch    158, Loss  0.881885, Average Loss  0.872105, Time  0.245547
2021-09-11 04:26:44.308924 : Epoch  7, Batch     79, Loss  0.553200, Average Loss  0.551834, Time  0.236579
2021-09-11 04:26:45.830876 : Epoch  7, Batch     80, Loss  0.542135, Average Loss  0.551852, Time  0.232735
2021-09-11 04:26:46.066435 : Epoch  2, Batch    159, Loss  0.869612, Average Loss  0.872115, Time  0.245174
2021-09-11 04:26:47.338069 : Epoch  7, Batch     81, Loss  0.557336, Average Loss  0.551937, Time  0.231931
2021-09-11 04:26:48.676817 : Epoch  2, Batch    160, Loss  0.882787, Average Loss  0.872192, Time  0.238810
2021-09-11 04:26:48.999288 : Epoch  7, Batch     82, Loss  0.555464, Average Loss  0.551971, Time  0.234420
2021-09-11 04:26:50.527129 : Epoch  7, Batch     83, Loss  0.549796, Average Loss  0.552025, Time  0.231948
2021-09-11 04:26:51.298751 : Epoch  2, Batch    161, Loss  0.865941, Average Loss  0.872170, Time  0.239368
2021-09-11 04:26:52.089769 : Epoch  7, Batch     84, Loss  0.560058, Average Loss  0.552080, Time  0.234078
2021-09-11 04:26:53.636433 : Epoch  7, Batch     85, Loss  0.551386, Average Loss  0.552096, Time  0.236469
2021-09-11 04:26:53.967890 : Epoch  2, Batch    162, Loss  0.879059, Average Loss  0.872043, Time  0.294286
2021-09-11 04:26:55.175275 : Epoch  7, Batch     86, Loss  0.528229, Average Loss  0.551944, Time  0.235101
2021-09-11 04:26:56.736540 : Epoch  2, Batch    163, Loss  0.889533, Average Loss  0.872064, Time  0.396901
2021-09-11 04:26:56.793785 : Epoch  7, Batch     87, Loss  0.549829, Average Loss  0.551950, Time  0.330118
2021-09-11 04:26:58.320629 : Epoch  7, Batch     88, Loss  0.556097, Average Loss  0.551914, Time  0.233335
2021-09-11 04:26:59.431817 : Epoch  2, Batch    164, Loss  0.879680, Average Loss  0.872098, Time  0.259451
2021-09-11 04:26:59.846052 : Epoch  7, Batch     89, Loss  0.560370, Average Loss  0.551948, Time  0.232300
2021-09-11 04:27:01.376036 : Epoch  7, Batch     90, Loss  0.530096, Average Loss  0.551861, Time  0.232332
2021-09-11 04:27:02.139019 : Epoch  2, Batch    165, Loss  0.853872, Average Loss  0.872038, Time  0.261640
2021-09-11 04:27:02.893582 : Epoch  7, Batch     91, Loss  0.554952, Average Loss  0.551855, Time  0.234417
2021-09-11 04:27:04.429491 : Epoch  7, Batch     92, Loss  0.552547, Average Loss  0.551786, Time  0.234177
2021-09-11 04:27:04.820847 : Epoch  2, Batch    166, Loss  0.890353, Average Loss  0.872063, Time  0.240734
2021-09-11 04:27:05.949870 : Epoch  7, Batch     93, Loss  0.561551, Average Loss  0.551789, Time  0.232370
2021-09-11 04:27:07.651295 : Epoch  7, Batch     94, Loss  0.547484, Average Loss  0.551787, Time  0.418682
2021-09-11 04:27:07.651603 : Epoch  2, Batch    167, Loss  0.859920, Average Loss  0.871981, Time  0.454556
2021-09-11 04:27:09.182306 : Epoch  7, Batch     95, Loss  0.552717, Average Loss  0.551816, Time  0.233567
2021-09-11 04:27:10.318919 : Epoch  2, Batch    168, Loss  0.867836, Average Loss  0.871943, Time  0.245024
2021-09-11 04:27:10.712315 : Epoch  7, Batch     96, Loss  0.550194, Average Loss  0.551790, Time  0.233177
2021-09-11 04:27:12.249849 : Epoch  7, Batch     97, Loss  0.565860, Average Loss  0.551867, Time  0.234546
2021-09-11 04:27:12.949877 : Epoch  2, Batch    169, Loss  0.874868, Average Loss  0.871909, Time  0.247909
2021-09-11 04:27:13.780553 : Epoch  7, Batch     98, Loss  0.559691, Average Loss  0.551885, Time  0.231857
2021-09-11 04:27:15.351020 : Epoch  7, Batch     99, Loss  0.538156, Average Loss  0.551774, Time  0.234937
2021-09-11 04:27:15.572971 : Epoch  2, Batch    170, Loss  0.866089, Average Loss  0.871846, Time  0.248621
2021-09-11 04:27:16.923425 : Epoch  7, Batch    100, Loss  0.549143, Average Loss  0.551766, Time  0.233371
2021-09-11 04:27:18.356275 : Epoch  2, Batch    171, Loss  0.859749, Average Loss  0.871794, Time  0.329113
2021-09-11 04:27:18.476175 : Epoch  7, Batch    101, Loss  0.533529, Average Loss  0.551656, Time  0.264955
2021-09-11 04:27:19.997354 : Epoch  7, Batch    102, Loss  0.571909, Average Loss  0.551794, Time  0.231270
2021-09-11 04:27:20.968876 : Epoch  2, Batch    172, Loss  0.879108, Average Loss  0.871814, Time  0.239719
2021-09-11 04:27:21.629306 : Epoch  7, Batch    103, Loss  0.545207, Average Loss  0.551776, Time  0.251831
2021-09-11 04:27:23.315379 : Epoch  7, Batch    104, Loss  0.549009, Average Loss  0.551788, Time  0.252541
2021-09-11 04:27:23.590141 : Epoch  2, Batch    173, Loss  0.858260, Average Loss  0.871704, Time  0.243689
2021-09-11 04:27:25.007326 : Epoch  7, Batch    105, Loss  0.551363, Average Loss  0.551837, Time  0.256319
2021-09-11 04:27:26.202999 : Epoch  2, Batch    174, Loss  0.881860, Average Loss  0.871764, Time  0.244580
2021-09-11 04:27:26.704355 : Epoch  7, Batch    106, Loss  0.537251, Average Loss  0.551745, Time  0.252175
2021-09-11 04:27:28.379239 : Epoch  7, Batch    107, Loss  0.545565, Average Loss  0.551725, Time  0.251479
2021-09-11 04:27:28.855931 : Epoch  2, Batch    175, Loss  0.865064, Average Loss  0.871781, Time  0.251200
2021-09-11 04:27:30.067403 : Epoch  7, Batch    108, Loss  0.548039, Average Loss  0.551641, Time  0.253181
2021-09-11 04:27:31.619827 : Epoch  2, Batch    176, Loss  0.873014, Average Loss  0.871877, Time  0.387656
2021-09-11 04:27:31.686285 : Epoch  7, Batch    109, Loss  0.551860, Average Loss  0.551676, Time  0.319902
2021-09-11 04:27:33.325786 : Epoch  7, Batch    110, Loss  0.546638, Average Loss  0.551619, Time  0.252134
2021-09-11 04:27:34.251920 : Epoch  2, Batch    177, Loss  0.898716, Average Loss  0.872036, Time  0.247252
2021-09-11 04:27:35.006294 : Epoch  7, Batch    111, Loss  0.554572, Average Loss  0.551628, Time  0.251981
2021-09-11 04:27:36.553057 : Epoch  7, Batch    112, Loss  0.554245, Average Loss  0.551613, Time  0.232266
2021-09-11 04:27:36.890822 : Epoch  2, Batch    178, Loss  0.862903, Average Loss  0.871915, Time  0.242733
2021-09-11 04:27:38.057248 : Epoch  7, Batch    113, Loss  0.543130, Average Loss  0.551519, Time  0.231646
2021-09-11 04:27:39.703838 : Epoch  2, Batch    179, Loss  0.876399, Average Loss  0.872113, Time  0.435624
2021-09-11 04:27:39.749803 : Epoch  7, Batch    114, Loss  0.553122, Average Loss  0.551480, Time  0.367862
2021-09-11 04:27:41.250111 : Epoch  7, Batch    115, Loss  0.551370, Average Loss  0.551477, Time  0.233705
2021-09-11 04:27:42.323018 : Epoch  2, Batch    180, Loss  0.847061, Average Loss  0.872067, Time  0.242388
2021-09-11 04:27:42.762823 : Epoch  7, Batch    116, Loss  0.545879, Average Loss  0.551455, Time  0.233955
2021-09-11 04:27:44.338792 : Epoch  7, Batch    117, Loss  0.549961, Average Loss  0.551487, Time  0.231859
2021-09-11 04:27:44.956193 : Epoch  2, Batch    181, Loss  0.865295, Average Loss  0.872114, Time  0.261682
2021-09-11 04:27:45.852961 : Epoch  7, Batch    118, Loss  0.544279, Average Loss  0.551501, Time  0.232918
2021-09-11 04:27:47.365318 : Epoch  7, Batch    119, Loss  0.556017, Average Loss  0.551485, Time  0.232044
2021-09-11 04:27:47.665855 : Epoch  2, Batch    182, Loss  0.878028, Average Loss  0.872166, Time  0.268558
2021-09-11 04:27:48.880327 : Epoch  7, Batch    120, Loss  0.547461, Average Loss  0.551460, Time  0.232944
2021-09-11 04:27:50.579065 : Epoch  7, Batch    121, Loss  0.555597, Average Loss  0.551513, Time  0.387676
2021-09-11 04:27:50.628163 : Epoch  2, Batch    183, Loss  0.854732, Average Loss  0.872098, Time  0.466676
2021-09-11 04:27:52.094807 : Epoch  7, Batch    122, Loss  0.542794, Average Loss  0.551490, Time  0.231713
2021-09-11 04:27:53.317208 : Epoch  2, Batch    184, Loss  0.881226, Average Loss  0.872157, Time  0.261489
2021-09-11 04:27:53.609771 : Epoch  7, Batch    123, Loss  0.550841, Average Loss  0.551498, Time  0.232340
2021-09-11 04:27:55.120131 : Epoch  7, Batch    124, Loss  0.567709, Average Loss  0.551553, Time  0.232334
2021-09-11 04:27:56.022174 : Epoch  2, Batch    185, Loss  0.865207, Average Loss  0.872110, Time  0.259787
2021-09-11 04:27:56.628136 : Epoch  7, Batch    125, Loss  0.545891, Average Loss  0.551459, Time  0.231957
2021-09-11 04:27:58.151098 : Epoch  7, Batch    126, Loss  0.544625, Average Loss  0.551399, Time  0.232415
2021-09-11 04:27:58.741980 : Epoch  2, Batch    186, Loss  0.865435, Average Loss  0.872064, Time  0.263582
2021-09-11 04:27:59.679044 : Epoch  7, Batch    127, Loss  0.543179, Average Loss  0.551415, Time  0.232896
2021-09-11 04:28:01.199272 : Epoch  7, Batch    128, Loss  0.544892, Average Loss  0.551349, Time  0.232325
2021-09-11 04:28:01.459033 : Epoch  2, Batch    187, Loss  0.867939, Average Loss  0.872089, Time  0.269311
2021-09-11 04:28:02.719850 : Epoch  7, Batch    129, Loss  0.562163, Average Loss  0.551339, Time  0.231998
2021-09-11 04:28:04.379235 : Epoch  7, Batch    130, Loss  0.540772, Average Loss  0.551269, Time  0.385820
2021-09-11 04:28:04.428661 : Epoch  2, Batch    188, Loss  0.858942, Average Loss  0.871978, Time  0.476300
2021-09-11 04:28:05.686020 : Epoch  2, Batch    189, Loss  0.858934, Average Loss  0.871949, Time  0.146435
2021-09-11 04:28:06.100834 : Epoch  7, Batch    131, Loss  0.564531, Average Loss  0.551263, Time  0.251479
2021-09-11 04:28:07.766091 : Epoch  7, Batch    132, Loss  0.560995, Average Loss  0.551326, Time  0.251977
2021-09-11 04:28:08.312999 : Epoch  2, Batch    190, Loss  0.875146, Average Loss  0.872007, Time  0.242540
2021-09-11 04:28:09.352274 : Epoch  7, Batch    133, Loss  0.540549, Average Loss  0.551265, Time  0.232152
2021-09-11 04:28:11.076159 : Epoch  7, Batch    134, Loss  0.547464, Average Loss  0.551223, Time  0.440615
2021-09-11 04:28:11.125076 : Epoch  2, Batch    191, Loss  0.858856, Average Loss  0.871902, Time  0.410687
2021-09-11 04:28:12.767911 : Epoch  7, Batch    135, Loss  0.555609, Average Loss  0.551266, Time  0.252838
2021-09-11 04:28:13.728778 : Epoch  2, Batch    192, Loss  0.857646, Average Loss  0.871832, Time  0.242992
2021-09-11 04:28:14.437732 : Epoch  7, Batch    136, Loss  0.554682, Average Loss  0.551344, Time  0.250607
2021-09-11 04:28:16.120017 : Epoch  7, Batch    137, Loss  0.545287, Average Loss  0.551288, Time  0.251314
2021-09-11 04:28:16.352869 : Epoch  2, Batch    193, Loss  0.874031, Average Loss  0.871806, Time  0.254063
2021-09-11 04:28:17.812109 : Epoch  7, Batch    138, Loss  0.556163, Average Loss  0.551259, Time  0.252954
2021-09-11 04:28:18.966538 : Epoch  2, Batch    194, Loss  0.885372, Average Loss  0.871822, Time  0.242508
2021-09-11 04:28:19.488949 : Epoch  7, Batch    139, Loss  0.550940, Average Loss  0.551328, Time  0.251517
2021-09-11 04:28:21.172864 : Epoch  7, Batch    140, Loss  0.564140, Average Loss  0.551370, Time  0.251540
2021-09-11 04:28:21.583404 : Epoch  2, Batch    195, Loss  0.890384, Average Loss  0.871979, Time  0.248427
2021-09-11 04:28:22.836973 : Epoch  7, Batch    141, Loss  0.543866, Average Loss  0.551328, Time  0.251916
2021-09-11 04:28:24.194240 : Epoch  2, Batch    196, Loss  0.850354, Average Loss  0.871876, Time  0.241893
2021-09-11 04:28:24.499847 : Epoch  7, Batch    142, Loss  0.544116, Average Loss  0.551332, Time  0.251477
2021-09-11 04:28:26.173499 : Epoch  7, Batch    143, Loss  0.561438, Average Loss  0.551347, Time  0.252675
2021-09-11 04:28:26.827854 : Epoch  2, Batch    197, Loss  0.856779, Average Loss  0.871886, Time  0.239312
2021-09-11 04:28:27.845352 : Epoch  7, Batch    144, Loss  0.550115, Average Loss  0.551368, Time  0.254388
2021-09-11 04:28:29.662850 : Epoch  2, Batch    198, Loss  0.865397, Average Loss  0.871808, Time  0.446402
2021-09-11 04:28:29.711345 : Epoch  7, Batch    145, Loss  0.561459, Average Loss  0.551409, Time  0.417459
2021-09-11 04:28:31.370058 : Epoch  7, Batch    146, Loss  0.558804, Average Loss  0.551420, Time  0.250767
2021-09-11 04:28:32.287803 : Epoch  2, Batch    199, Loss  0.851609, Average Loss  0.871722, Time  0.246208
2021-09-11 04:28:33.051647 : Epoch  7, Batch    147, Loss  0.540982, Average Loss  0.551290, Time  0.253249
2021-09-11 04:28:34.776474 : Epoch  7, Batch    148, Loss  0.547493, Average Loss  0.551300, Time  0.308953
2021-09-11 04:28:34.920009 : Epoch  2, Batch    200, Loss  0.861039, Average Loss  0.871727, Time  0.260515
2021-09-11 04:28:37.554855 : Epoch  2, Batch    201, Loss  0.869923, Average Loss  0.871697, Time  0.258070
2021-09-11 04:28:38.697039 : Epoch  7, Batch    149, Loss  0.555582, Average Loss  0.551218, Time  0.233552
2021-09-11 04:28:40.456207 : Epoch  7, Batch    150, Loss  0.540705, Average Loss  0.551121, Time  0.452588
2021-09-11 04:28:40.506424 : Epoch  2, Batch    202, Loss  0.866548, Average Loss  0.871641, Time  0.476559
2021-09-11 04:28:41.983882 : Epoch  7, Batch    151, Loss  0.542341, Average Loss  0.551136, Time  0.231978
2021-09-11 04:28:43.188803 : Epoch  2, Batch    203, Loss  0.884645, Average Loss  0.871636, Time  0.259310
2021-09-11 04:28:43.516991 : Epoch  7, Batch    152, Loss  0.544381, Average Loss  0.551076, Time  0.232208
2021-09-11 04:28:45.040356 : Epoch  7, Batch    153, Loss  0.557425, Average Loss  0.551134, Time  0.232215
2021-09-11 04:28:45.920834 : Epoch  2, Batch    204, Loss  0.863062, Average Loss  0.871568, Time  0.260369
2021-09-11 04:28:46.549719 : Epoch  7, Batch    154, Loss  0.551167, Average Loss  0.551198, Time  0.233178
2021-09-11 04:28:48.086356 : Epoch  7, Batch    155, Loss  0.541645, Average Loss  0.551184, Time  0.233976
2021-09-11 04:28:48.270711 : CheckPoint: Validation Loss  0.00061908, Best Loss  0.00057296
2021-09-11 04:28:48.613512 : Epoch  2, Batch    205, Loss  0.859597, Average Loss  0.871470, Time  0.243997
2021-09-11 04:28:49.604031 : Epoch  7, Batch    156, Loss  0.540089, Average Loss  0.551110, Time  0.232538
2021-09-11 04:28:49.900837 : Epoch  3, Batch   2579, Loss  0.876474, Average Loss  0.871480, Time  0.180095
2021-09-11 04:28:51.306970 : Epoch  7, Batch    157, Loss  0.547704, Average Loss  0.551125, Time  0.417314
2021-09-11 04:28:51.359454 : Epoch  2, Batch    206, Loss  0.883038, Average Loss  0.871468, Time  0.361290
2021-09-11 04:28:51.520747 : Epoch  3, Batch   2580, Loss  0.890464, Average Loss  0.871519, Time  0.173029
2021-09-11 04:28:52.980105 : Epoch  7, Batch    158, Loss  0.541635, Average Loss  0.551089, Time  0.256824
2021-09-11 04:28:53.149008 : Epoch  3, Batch   2581, Loss  0.882241, Average Loss  0.871384, Time  0.176626
2021-09-11 04:28:53.980047 : Epoch  2, Batch    207, Loss  0.883552, Average Loss  0.871519, Time  0.244604
2021-09-11 04:28:54.620232 : Epoch  7, Batch    159, Loss  0.565098, Average Loss  0.551194, Time  0.232543
2021-09-11 04:28:54.798798 : Epoch  3, Batch   2582, Loss  0.887068, Average Loss  0.871550, Time  0.172812
2021-09-11 04:28:56.124771 : Epoch  7, Batch    160, Loss  0.551087, Average Loss  0.551161, Time  0.232375
2021-09-11 04:28:56.437020 : Epoch  3, Batch   2583, Loss  0.840877, Average Loss  0.871289, Time  0.170044
2021-09-11 04:28:56.633425 : Epoch  2, Batch    208, Loss  0.858441, Average Loss  0.871530, Time  0.242961
2021-09-11 04:28:57.653769 : Epoch  7, Batch    161, Loss  0.547414, Average Loss  0.551231, Time  0.233117
2021-09-11 04:28:58.071830 : Epoch  3, Batch   2584, Loss  0.866301, Average Loss  0.871371, Time  0.174025
2021-09-11 04:28:59.308025 : Epoch  7, Batch    162, Loss  0.556217, Average Loss  0.551262, Time  0.370233
2021-09-11 04:28:59.415897 : Epoch  2, Batch    209, Loss  0.875402, Average Loss  0.871628, Time  0.339640
2021-09-11 04:28:59.686814 : Epoch  3, Batch   2585, Loss  0.884566, Average Loss  0.871402, Time  0.173274
2021-09-11 04:29:00.820237 : Epoch  7, Batch    163, Loss  0.550345, Average Loss  0.551211, Time  0.231899
2021-09-11 04:29:01.317033 : Epoch  3, Batch   2586, Loss  0.846138, Average Loss  0.871424, Time  0.176793
2021-09-11 04:29:02.132766 : Epoch  2, Batch    210, Loss  0.857049, Average Loss  0.871594, Time  0.264735
2021-09-11 04:29:02.333961 : Epoch  7, Batch    164, Loss  0.568198, Average Loss  0.551262, Time  0.236244
2021-09-11 04:29:02.934870 : Epoch  3, Batch   2587, Loss  0.866621, Average Loss  0.871443, Time  0.173356
2021-09-11 04:29:03.851036 : Epoch  7, Batch    165, Loss  0.562838, Average Loss  0.551313, Time  0.232172
2021-09-11 04:29:04.579760 : Epoch  3, Batch   2588, Loss  0.877794, Average Loss  0.871447, Time  0.175697
2021-09-11 04:29:04.884834 : Epoch  2, Batch    211, Loss  0.873898, Average Loss  0.871582, Time  0.264640
2021-09-11 04:29:05.378254 : Epoch  7, Batch    166, Loss  0.554354, Average Loss  0.551325, Time  0.231732
2021-09-11 04:29:06.194033 : Epoch  3, Batch   2589, Loss  0.882621, Average Loss  0.871431, Time  0.172683
2021-09-11 04:29:06.929024 : Epoch  7, Batch    167, Loss  0.551033, Average Loss  0.551272, Time  0.235115
2021-09-11 04:29:07.610934 : Epoch  2, Batch    212, Loss  0.867060, Average Loss  0.871431, Time  0.255823
2021-09-11 04:29:07.821787 : Epoch  3, Batch   2590, Loss  0.902407, Average Loss  0.871550, Time  0.169820
2021-09-11 04:29:08.508241 : Epoch  7, Batch    168, Loss  0.554102, Average Loss  0.551334, Time  0.231952
2021-09-11 04:29:09.459996 : Epoch  3, Batch   2591, Loss  0.891942, Average Loss  0.871601, Time  0.169941
2021-09-11 04:29:10.123340 : Epoch  7, Batch    169, Loss  0.543221, Average Loss  0.551287, Time  0.318928
2021-09-11 04:29:10.257905 : Epoch  2, Batch    213, Loss  0.867072, Average Loss  0.871472, Time  0.270525
2021-09-11 04:29:11.088748 : Epoch  3, Batch   2592, Loss  0.875443, Average Loss  0.871487, Time  0.169951
2021-09-11 04:29:11.648246 : Epoch  7, Batch    170, Loss  0.543437, Average Loss  0.551299, Time  0.232752
2021-09-11 04:29:12.708830 : Epoch  3, Batch   2593, Loss  0.867595, Average Loss  0.871387, Time  0.170210
2021-09-11 04:29:12.905446 : Epoch  2, Batch    214, Loss  0.850704, Average Loss  0.871314, Time  0.243332
2021-09-11 04:29:13.237452 : Epoch  7, Batch    171, Loss  0.540285, Average Loss  0.551277, Time  0.236551
2021-09-11 04:29:14.345772 : Epoch  3, Batch   2594, Loss  0.869558, Average Loss  0.871190, Time  0.169908
2021-09-11 04:29:14.787918 : Epoch  7, Batch    172, Loss  0.566759, Average Loss  0.551306, Time  0.232258
2021-09-11 04:29:15.527013 : Epoch  2, Batch    215, Loss  0.875205, Average Loss  0.871324, Time  0.241121
2021-09-11 04:29:15.995855 : Epoch  3, Batch   2595, Loss  0.870251, Average Loss  0.871197, Time  0.169768
2021-09-11 04:29:16.327902 : Epoch  7, Batch    173, Loss  0.551204, Average Loss  0.551343, Time  0.231931
2021-09-11 04:29:17.607796 : Epoch  3, Batch   2596, Loss  0.838102, Average Loss  0.871129, Time  0.169871
2021-09-11 04:29:17.890708 : Epoch  7, Batch    174, Loss  0.547596, Average Loss  0.551347, Time  0.232948
2021-09-11 04:29:18.183429 : Epoch  2, Batch    216, Loss  0.872370, Average Loss  0.871411, Time  0.246100
2021-09-11 04:29:19.236995 : Epoch  3, Batch   2597, Loss  0.870608, Average Loss  0.871095, Time  0.172601
2021-09-11 04:29:19.426950 : Epoch  7, Batch    175, Loss  0.557580, Average Loss  0.551354, Time  0.232950
2021-09-11 04:29:20.859791 : Epoch  3, Batch   2598, Loss  0.875568, Average Loss  0.871203, Time  0.169717
2021-09-11 04:29:20.945870 : Epoch  2, Batch    217, Loss  0.882819, Average Loss  0.871535, Time  0.381318
2021-09-11 04:29:21.014845 : Epoch  7, Batch    176, Loss  0.547848, Average Loss  0.551317, Time  0.303558
2021-09-11 04:29:22.486998 : Epoch  3, Batch   2599, Loss  0.884021, Average Loss  0.871302, Time  0.169940
2021-09-11 04:29:22.512381 : Epoch  7, Batch    177, Loss  0.564460, Average Loss  0.551358, Time  0.232011
2021-09-11 04:29:23.579469 : Epoch  2, Batch    218, Loss  0.857959, Average Loss  0.871408, Time  0.243538
2021-09-11 04:29:24.026679 : Epoch  7, Batch    178, Loss  0.540736, Average Loss  0.551208, Time  0.232713
2021-09-11 04:29:24.106750 : Epoch  3, Batch   2600, Loss  0.880043, Average Loss  0.871421, Time  0.169677
2021-09-11 04:29:25.720769 : Epoch  3, Batch   2601, Loss  0.894943, Average Loss  0.871436, Time  0.169664
2021-09-11 04:29:26.210976 : Epoch  2, Batch    219, Loss  0.883600, Average Loss  0.871411, Time  0.243104
2021-09-11 04:29:27.352764 : Epoch  3, Batch   2602, Loss  0.872851, Average Loss  0.871537, Time  0.169671
2021-09-11 04:29:28.854014 : Epoch  2, Batch    220, Loss  0.855215, Average Loss  0.871431, Time  0.244961
2021-09-11 04:29:28.994835 : Epoch  3, Batch   2603, Loss  0.895842, Average Loss  0.871730, Time  0.169661
2021-09-11 04:29:30.623756 : Epoch  3, Batch   2604, Loss  0.902945, Average Loss  0.872023, Time  0.169584
2021-09-11 04:29:31.523852 : Epoch  2, Batch    221, Loss  0.886347, Average Loss  0.871508, Time  0.242829
2021-09-11 04:29:32.273788 : Epoch  3, Batch   2605, Loss  0.838139, Average Loss  0.871975, Time  0.172570
2021-09-11 04:29:33.905830 : Epoch  3, Batch   2606, Loss  0.840278, Average Loss  0.871882, Time  0.169854
2021-09-11 04:29:34.161421 : Epoch  2, Batch    222, Loss  0.863335, Average Loss  0.871435, Time  0.245346
2021-09-11 04:29:35.531002 : Epoch  3, Batch   2607, Loss  0.860965, Average Loss  0.871897, Time  0.169802
2021-09-11 04:29:36.792193 : Epoch  2, Batch    223, Loss  0.856937, Average Loss  0.871387, Time  0.245917
2021-09-11 04:29:37.175799 : Epoch  3, Batch   2608, Loss  0.873563, Average Loss  0.871894, Time  0.169887
2021-09-11 04:29:38.805001 : Epoch  3, Batch   2609, Loss  0.836590, Average Loss  0.871671, Time  0.169934
2021-09-11 04:29:39.408059 : Epoch  2, Batch    224, Loss  0.873016, Average Loss  0.871441, Time  0.245113
2021-09-11 04:29:40.457812 : Epoch  3, Batch   2610, Loss  0.861683, Average Loss  0.871739, Time  0.170202
2021-09-11 04:29:42.052453 : Epoch  2, Batch    225, Loss  0.866541, Average Loss  0.871399, Time  0.261999
2021-09-11 04:29:42.089003 : Epoch  3, Batch   2611, Loss  0.853218, Average Loss  0.871533, Time  0.169524
2021-09-11 04:29:43.725825 : Epoch  3, Batch   2612, Loss  0.896665, Average Loss  0.871703, Time  0.169793
2021-09-11 04:29:44.673010 : Epoch  2, Batch    226, Loss  0.882312, Average Loss  0.871374, Time  0.243097
2021-09-11 04:29:45.377814 : Epoch  3, Batch   2613, Loss  0.847630, Average Loss  0.871652, Time  0.169950
2021-09-11 04:29:47.003805 : Epoch  3, Batch   2614, Loss  0.862039, Average Loss  0.871481, Time  0.169855
2021-09-11 04:29:47.391901 : Epoch  2, Batch    227, Loss  0.851101, Average Loss  0.871366, Time  0.323727
2021-09-11 04:29:48.652997 : Epoch  3, Batch   2615, Loss  0.886831, Average Loss  0.871658, Time  0.169921
2021-09-11 04:29:50.128954 : Epoch  2, Batch    228, Loss  0.877976, Average Loss  0.871363, Time  0.323689
2021-09-11 04:29:50.285797 : Epoch  3, Batch   2616, Loss  0.889115, Average Loss  0.871666, Time  0.169755
2021-09-11 04:29:51.908004 : Epoch  3, Batch   2617, Loss  0.845378, Average Loss  0.871506, Time  0.170135
2021-09-11 04:29:52.849290 : Epoch  2, Batch    229, Loss  0.864129, Average Loss  0.871266, Time  0.328246
2021-09-11 04:29:53.556791 : Epoch  3, Batch   2618, Loss  0.869279, Average Loss  0.871554, Time  0.169649
2021-09-11 04:29:55.184002 : Epoch  3, Batch   2619, Loss  0.891620, Average Loss  0.871509, Time  0.169725
2021-09-11 04:29:55.533064 : Epoch  2, Batch    230, Loss  0.880884, Average Loss  0.871283, Time  0.309489
2021-09-11 04:29:56.804752 : Epoch  3, Batch   2620, Loss  0.869053, Average Loss  0.871630, Time  0.169560
2021-09-11 04:29:58.193474 : Epoch  2, Batch    231, Loss  0.863150, Average Loss  0.871303, Time  0.276814
2021-09-11 04:29:58.419998 : Epoch  3, Batch   2621, Loss  0.855930, Average Loss  0.871589, Time  0.169854
2021-09-11 04:30:00.045780 : Epoch  3, Batch   2622, Loss  0.846663, Average Loss  0.871463, Time  0.172037
2021-09-11 04:30:00.816849 : Epoch  2, Batch    232, Loss  0.881593, Average Loss  0.871459, Time  0.247228
2021-09-11 04:30:01.674787 : Epoch  3, Batch   2623, Loss  0.908168, Average Loss  0.871738, Time  0.171931
2021-09-11 04:30:03.300999 : Epoch  3, Batch   2624, Loss  0.845312, Average Loss  0.871673, Time  0.169945
2021-09-11 04:30:03.432323 : Epoch  2, Batch    233, Loss  0.874425, Average Loss  0.871437, Time  0.238615
2021-09-11 04:30:04.924999 : Epoch  3, Batch   2625, Loss  0.883504, Average Loss  0.871773, Time  0.169813
2021-09-11 04:30:06.058028 : Epoch  2, Batch    234, Loss  0.868557, Average Loss  0.871393, Time  0.242174
2021-09-11 04:30:06.532851 : Epoch  3, Batch   2626, Loss  0.893393, Average Loss  0.871913, Time  0.169835
2021-09-11 04:30:08.142989 : Epoch  3, Batch   2627, Loss  0.880610, Average Loss  0.871939, Time  0.169713
2021-09-11 04:30:08.691851 : Epoch  2, Batch    235, Loss  0.866687, Average Loss  0.871364, Time  0.244173
2021-09-11 04:30:09.757763 : Epoch  3, Batch   2628, Loss  0.869552, Average Loss  0.872094, Time  0.169776
2021-09-11 04:30:11.324478 : Epoch  2, Batch    236, Loss  0.866273, Average Loss  0.871317, Time  0.243714
2021-09-11 04:30:11.352989 : Epoch  3, Batch   2629, Loss  0.853605, Average Loss  0.871951, Time  0.169431
2021-09-11 04:30:12.958777 : Epoch  3, Batch   2630, Loss  0.856285, Average Loss  0.871965, Time  0.169771
2021-09-11 04:30:13.971861 : Epoch  2, Batch    237, Loss  0.856324, Average Loss  0.871237, Time  0.271017
2021-09-11 04:30:14.561782 : Epoch  3, Batch   2631, Loss  0.852790, Average Loss  0.871732, Time  0.169800
2021-09-11 04:30:16.172760 : Epoch  3, Batch   2632, Loss  0.860870, Average Loss  0.871656, Time  0.169616
2021-09-11 04:30:16.673837 : Epoch  2, Batch    238, Loss  0.877352, Average Loss  0.871361, Time  0.259491
2021-09-11 04:30:17.769855 : Epoch  3, Batch   2633, Loss  0.859627, Average Loss  0.871433, Time  0.172269
2021-09-11 04:30:19.355989 : Epoch  3, Batch   2634, Loss  0.849797, Average Loss  0.871401, Time  0.169757
2021-09-11 04:30:19.397900 : Epoch  2, Batch    239, Loss  0.886066, Average Loss  0.871346, Time  0.266155
2021-09-11 04:30:20.554706 : CheckPoint: Validation Loss  0.00022332, Best Loss  0.00021921
2021-09-11 04:30:20.969262 : Epoch  3, Batch   2635, Loss  0.895454, Average Loss  0.871618, Time  0.169594
2021-09-11 04:30:22.287997 : Epoch  7, Batch    179, Loss  0.539498, Average Loss  0.551146, Time  0.432314
2021-09-11 04:30:22.335825 : Epoch  2, Batch    240, Loss  0.867001, Average Loss  0.871224, Time  0.474315
2021-09-11 04:30:22.587000 : Epoch  3, Batch   2636, Loss  0.865162, Average Loss  0.871513, Time  0.169868
2021-09-11 04:30:23.801946 : Epoch  7, Batch    180, Loss  0.562056, Average Loss  0.551156, Time  0.231866
2021-09-11 04:30:24.189815 : Epoch  3, Batch   2637, Loss  0.864980, Average Loss  0.871515, Time  0.169931
2021-09-11 04:30:25.001591 : Epoch  2, Batch    241, Loss  0.863082, Average Loss  0.871213, Time  0.245575
2021-09-11 04:30:25.320693 : Epoch  7, Batch    181, Loss  0.556931, Average Loss  0.551252, Time  0.230831
2021-09-11 04:30:25.780497 : Epoch  3, Batch   2638, Loss  0.863649, Average Loss  0.871399, Time  0.169912
2021-09-11 04:30:26.841261 : Epoch  7, Batch    182, Loss  0.560735, Average Loss  0.551329, Time  0.232121
2021-09-11 04:30:27.382987 : Epoch  3, Batch   2639, Loss  0.870759, Average Loss  0.871569, Time  0.169580
2021-09-11 04:30:27.733837 : Epoch  2, Batch    242, Loss  0.878775, Average Loss  0.871233, Time  0.241894
2021-09-11 04:30:28.357848 : Epoch  7, Batch    183, Loss  0.540835, Average Loss  0.551276, Time  0.231837
2021-09-11 04:30:28.986936 : Epoch  3, Batch   2640, Loss  0.835411, Average Loss  0.871342, Time  0.169492
2021-09-11 04:30:29.873305 : Epoch  7, Batch    184, Loss  0.561450, Average Loss  0.551286, Time  0.232343
2021-09-11 04:30:30.350068 : Epoch  2, Batch    243, Loss  0.885270, Average Loss  0.871250, Time  0.244509
2021-09-11 04:30:30.607878 : Epoch  3, Batch   2641, Loss  0.886161, Average Loss  0.871193, Time  0.172102
2021-09-11 04:30:31.410875 : Epoch  7, Batch    185, Loss  0.547384, Average Loss  0.551272, Time  0.233005
2021-09-11 04:30:32.226801 : Epoch  3, Batch   2642, Loss  0.874759, Average Loss  0.871347, Time  0.169860
2021-09-11 04:30:33.152118 : Epoch  7, Batch    186, Loss  0.541567, Average Loss  0.551254, Time  0.450132
2021-09-11 04:30:33.197866 : Epoch  2, Batch    244, Loss  0.883167, Average Loss  0.871283, Time  0.431409
2021-09-11 04:30:33.842815 : Epoch  3, Batch   2643, Loss  0.874134, Average Loss  0.871463, Time  0.169752
2021-09-11 04:30:34.675020 : Epoch  7, Batch    187, Loss  0.548320, Average Loss  0.551292, Time  0.232261
2021-09-11 04:30:35.484008 : Epoch  3, Batch   2644, Loss  0.884942, Average Loss  0.871486, Time  0.169583
2021-09-11 04:30:36.207174 : Epoch  7, Batch    188, Loss  0.560643, Average Loss  0.551281, Time  0.233104
2021-09-11 04:30:37.089796 : Epoch  3, Batch   2645, Loss  0.864232, Average Loss  0.871503, Time  0.169635
2021-09-11 04:30:37.731466 : Epoch  7, Batch    189, Loss  0.536388, Average Loss  0.551193, Time  0.232975
2021-09-11 04:30:38.704931 : Epoch  3, Batch   2646, Loss  0.849427, Average Loss  0.871359, Time  0.172471
2021-09-11 04:30:39.276290 : Epoch  7, Batch    190, Loss  0.549606, Average Loss  0.551208, Time  0.232973
2021-09-11 04:30:40.335012 : Epoch  3, Batch   2647, Loss  0.894232, Average Loss  0.871402, Time  0.171909
2021-09-11 04:30:40.809927 : Epoch  7, Batch    191, Loss  0.555462, Average Loss  0.551221, Time  0.231919
2021-09-11 04:30:41.967742 : Epoch  3, Batch   2648, Loss  0.879978, Average Loss  0.871446, Time  0.169975
2021-09-11 04:30:42.335003 : Epoch  7, Batch    192, Loss  0.539193, Average Loss  0.551063, Time  0.233225
2021-09-11 04:30:43.577866 : Epoch  3, Batch   2649, Loss  0.842956, Average Loss  0.871380, Time  0.169913
2021-09-11 04:30:43.855252 : Epoch  7, Batch    193, Loss  0.546933, Average Loss  0.551030, Time  0.232441
2021-09-11 04:30:45.217755 : Epoch  3, Batch   2650, Loss  0.827055, Average Loss  0.871222, Time  0.179119
2021-09-11 04:30:45.361187 : Epoch  7, Batch    194, Loss  0.552470, Average Loss  0.551036, Time  0.232400
2021-09-11 04:30:46.815911 : Epoch  3, Batch   2651, Loss  0.844774, Average Loss  0.871006, Time  0.170154
2021-09-11 04:30:46.889940 : Epoch  7, Batch    195, Loss  0.550705, Average Loss  0.551055, Time  0.233144
2021-09-11 04:30:48.406214 : Epoch  7, Batch    196, Loss  0.542824, Average Loss  0.550970, Time  0.231747
2021-09-11 04:30:48.446037 : Epoch  3, Batch   2652, Loss  0.838185, Average Loss  0.871024, Time  0.178152
2021-09-11 04:30:49.918253 : Epoch  7, Batch    197, Loss  0.547883, Average Loss  0.550861, Time  0.231689
2021-09-11 04:30:50.117296 : Epoch  3, Batch   2653, Loss  0.882252, Average Loss  0.871026, Time  0.178634
2021-09-11 04:30:51.433878 : Epoch  7, Batch    198, Loss  0.549010, Average Loss  0.550864, Time  0.232376
2021-09-11 04:30:51.722822 : Epoch  3, Batch   2654, Loss  0.869337, Average Loss  0.871211, Time  0.169766
2021-09-11 04:30:52.943307 : Epoch  7, Batch    199, Loss  0.556493, Average Loss  0.550825, Time  0.231880
2021-09-11 04:30:53.331795 : Epoch  3, Batch   2655, Loss  0.864957, Average Loss  0.871071, Time  0.169763
2021-09-11 04:30:54.486711 : Epoch  7, Batch    200, Loss  0.547686, Average Loss  0.550822, Time  0.236072
2021-09-11 04:30:54.966943 : Epoch  3, Batch   2656, Loss  0.885363, Average Loss  0.871094, Time  0.170001
2021-09-11 04:30:56.074963 : Epoch  7, Batch    201, Loss  0.553348, Average Loss  0.550866, Time  0.234158
2021-09-11 04:30:56.603780 : Epoch  3, Batch   2657, Loss  0.895528, Average Loss  0.871229, Time  0.170093
2021-09-11 04:30:57.684453 : Epoch  7, Batch    202, Loss  0.545787, Average Loss  0.550863, Time  0.316085
2021-09-11 04:30:58.230858 : Epoch  3, Batch   2658, Loss  0.870373, Average Loss  0.871280, Time  0.169541
2021-09-11 04:30:59.249012 : Epoch  7, Batch    203, Loss  0.556333, Average Loss  0.550864, Time  0.232719
2021-09-11 04:30:59.859758 : Epoch  3, Batch   2659, Loss  0.840995, Average Loss  0.870995, Time  0.169997
2021-09-11 04:31:00.775336 : Epoch  7, Batch    204, Loss  0.552898, Average Loss  0.550849, Time  0.232341
2021-09-11 04:31:01.485006 : Epoch  3, Batch   2660, Loss  0.866156, Average Loss  0.870946, Time  0.169599
2021-09-11 04:31:02.378034 : Epoch  7, Batch    205, Loss  0.531368, Average Loss  0.550846, Time  0.313064
2021-09-11 04:31:03.124007 : Epoch  3, Batch   2661, Loss  0.854448, Average Loss  0.870782, Time  0.169530
2021-09-11 04:31:03.926280 : Epoch  7, Batch    206, Loss  0.547346, Average Loss  0.550808, Time  0.234912
2021-09-11 04:31:04.733889 : Epoch  3, Batch   2662, Loss  0.865497, Average Loss  0.870521, Time  0.169611
2021-09-11 04:31:05.461747 : Epoch  7, Batch    207, Loss  0.544343, Average Loss  0.550827, Time  0.234073
2021-09-11 04:31:06.368812 : Epoch  3, Batch   2663, Loss  0.856650, Average Loss  0.870446, Time  0.169766
2021-09-11 04:31:07.020813 : Epoch  7, Batch    208, Loss  0.556568, Average Loss  0.550828, Time  0.232330
2021-09-11 04:31:07.997731 : Epoch  3, Batch   2664, Loss  0.847507, Average Loss  0.870235, Time  0.169552
2021-09-11 04:31:08.546002 : Epoch  7, Batch    209, Loss  0.560969, Average Loss  0.550906, Time  0.232645
2021-09-11 04:31:09.637768 : Epoch  3, Batch   2665, Loss  0.843788, Average Loss  0.870061, Time  0.170450
2021-09-11 04:31:10.058251 : Epoch  7, Batch    210, Loss  0.555539, Average Loss  0.550904, Time  0.233393
2021-09-11 04:31:11.260029 : Epoch  3, Batch   2666, Loss  0.856362, Average Loss  0.869956, Time  0.169925
2021-09-11 04:31:11.568718 : Epoch  7, Batch    211, Loss  0.548640, Average Loss  0.550932, Time  0.231949
2021-09-11 04:31:12.888051 : Epoch  3, Batch   2667, Loss  0.856522, Average Loss  0.869845, Time  0.170057
2021-09-11 04:31:13.076241 : Epoch  7, Batch    212, Loss  0.545441, Average Loss  0.550945, Time  0.232005
2021-09-11 04:31:14.508846 : Epoch  3, Batch   2668, Loss  0.837127, Average Loss  0.869601, Time  0.170104
2021-09-11 04:31:14.606291 : Epoch  7, Batch    213, Loss  0.560216, Average Loss  0.550982, Time  0.233309
2021-09-11 04:31:16.128027 : Epoch  3, Batch   2669, Loss  0.878921, Average Loss  0.869546, Time  0.170111
2021-09-11 04:31:17.644993 : Epoch  7, Batch    215, Loss  0.558590, Average Loss  0.551118, Time  0.232073
2021-09-11 04:31:17.802811 : Epoch  3, Batch   2670, Loss  0.878953, Average Loss  0.869572, Time  0.170052
2021-09-11 04:31:19.246058 : Epoch  7, Batch    216, Loss  0.553851, Average Loss  0.551131, Time  0.314886
2021-09-11 04:31:19.441786 : Epoch  3, Batch   2671, Loss  0.862035, Average Loss  0.869382, Time  0.169983
2021-09-11 04:31:20.760042 : Epoch  7, Batch    217, Loss  0.551815, Average Loss  0.551071, Time  0.231928
2021-09-11 04:31:21.088792 : Epoch  3, Batch   2672, Loss  0.864413, Average Loss  0.869414, Time  0.175151
2021-09-11 04:31:22.281250 : Epoch  7, Batch    218, Loss  0.561863, Average Loss  0.551134, Time  0.232190
2021-09-11 04:31:22.720074 : Epoch  3, Batch   2673, Loss  0.865776, Average Loss  0.869396, Time  0.172266
2021-09-11 04:31:23.793285 : Epoch  7, Batch    219, Loss  0.554999, Average Loss  0.551196, Time  0.231717
2021-09-11 04:31:24.335364 : Epoch  3, Batch   2674, Loss  0.867882, Average Loss  0.869441, Time  0.176346
2021-09-11 04:31:25.303761 : Epoch  7, Batch    220, Loss  0.552390, Average Loss  0.551215, Time  0.232361
2021-09-11 04:31:25.968776 : Epoch  3, Batch   2675, Loss  0.816230, Average Loss  0.869332, Time  0.182581
2021-09-11 04:31:26.993826 : Epoch  7, Batch    221, Loss  0.549285, Average Loss  0.551191, Time  0.253475
2021-09-11 04:31:27.608039 : Epoch  3, Batch   2676, Loss  0.857521, Average Loss  0.869272, Time  0.175075
2021-09-11 04:31:28.757081 : Epoch  7, Batch    222, Loss  0.532574, Average Loss  0.551074, Time  0.334195
2021-09-11 04:31:29.240024 : Epoch  3, Batch   2677, Loss  0.886110, Average Loss  0.869253, Time  0.170294
2021-09-11 04:31:30.294052 : Epoch  7, Batch    223, Loss  0.562034, Average Loss  0.551161, Time  0.250934
2021-09-11 04:31:30.850800 : Epoch  3, Batch   2678, Loss  0.880599, Average Loss  0.869246, Time  0.172189
2021-09-11 04:31:31.804445 : Epoch  7, Batch    224, Loss  0.538115, Average Loss  0.551042, Time  0.232147
2021-09-11 04:31:33.553448 : Epoch  7, Batch    225, Loss  0.534700, Average Loss  0.550917, Time  0.315741
2021-09-11 04:31:35.185006 : Epoch  7, Batch    226, Loss  0.551726, Average Loss  0.550948, Time  0.254982
2021-09-11 04:31:36.730738 : Epoch  7, Batch    227, Loss  0.531778, Average Loss  0.550825, Time  0.235638
2021-09-11 04:31:38.318505 : Epoch  7, Batch    228, Loss  0.547843, Average Loss  0.550794, Time  0.292795
2021-09-11 04:31:39.848193 : Epoch  7, Batch    229, Loss  0.552621, Average Loss  0.550767, Time  0.233131
2021-09-11 04:31:41.371332 : Epoch  7, Batch    230, Loss  0.554904, Average Loss  0.550776, Time  0.232441
2021-09-11 04:31:42.892826 : Epoch  7, Batch    231, Loss  0.567472, Average Loss  0.550919, Time  0.233155
2021-09-11 04:31:44.437973 : Epoch  7, Batch    232, Loss  0.560903, Average Loss  0.550978, Time  0.234137
2021-09-11 04:31:45.967886 : Epoch  7, Batch    233, Loss  0.559946, Average Loss  0.551020, Time  0.234811
2021-09-11 04:31:47.487985 : Epoch  7, Batch    234, Loss  0.551790, Average Loss  0.551012, Time  0.232401
2021-09-11 04:31:49.015218 : Epoch  7, Batch    235, Loss  0.543595, Average Loss  0.550977, Time  0.233241
2021-09-11 04:31:50.556923 : Epoch  7, Batch    236, Loss  0.546407, Average Loss  0.550915, Time  0.233527
2021-09-11 04:31:52.101165 : Epoch  7, Batch    237, Loss  0.549534, Average Loss  0.550897, Time  0.232413
2021-09-11 04:31:53.780791 : Epoch  7, Batch    238, Loss  0.561673, Average Loss  0.550955, Time  0.252723
2021-09-11 04:31:55.322446 : Epoch  7, Batch    239, Loss  0.549434, Average Loss  0.550998, Time  0.232979
2021-09-11 04:31:57.011068 : Epoch  7, Batch    240, Loss  0.548324, Average Loss  0.550980, Time  0.233859
2021-09-11 04:31:58.551850 : Epoch  7, Batch    241, Loss  0.555505, Average Loss  0.550996, Time  0.232621
2021-09-11 04:32:00.150884 : Epoch  7, Batch    242, Loss  0.555700, Average Loss  0.551058, Time  0.301276
2021-09-11 04:32:01.677871 : Epoch  7, Batch    243, Loss  0.560107, Average Loss  0.551098, Time  0.232989
2021-09-11 04:32:03.194850 : Epoch  7, Batch    244, Loss  0.545804, Average Loss  0.551111, Time  0.232546
2021-09-11 04:32:04.720036 : Epoch  7, Batch    245, Loss  0.545437, Average Loss  0.551141, Time  0.232777
2021-09-11 04:32:06.324622 : Epoch  7, Batch    246, Loss  0.559470, Average Loss  0.551070, Time  0.234003
2021-09-11 04:32:07.844808 : Epoch  7, Batch    247, Loss  0.555789, Average Loss  0.551015, Time  0.232168
2021-09-11 04:32:09.366782 : Epoch  7, Batch    248, Loss  0.557799, Average Loss  0.551049, Time  0.232144
2021-09-11 04:32:13.422862 : Epoch  7, Batch    249, Loss  0.557150, Average Loss  0.551046, Time  0.233626
2021-09-11 04:32:14.967320 : Epoch  7, Batch    250, Loss  0.549732, Average Loss  0.551107, Time  0.232608
2021-09-11 04:32:16.480885 : Epoch  7, Batch    251, Loss  0.560400, Average Loss  0.551167, Time  0.232204
2021-09-11 04:32:18.007815 : Epoch  7, Batch    252, Loss  0.557595, Average Loss  0.551213, Time  0.233914
2021-09-11 04:32:19.550959 : Epoch  7, Batch    253, Loss  0.539082, Average Loss  0.551075, Time  0.233506
2021-09-11 04:32:21.076537 : Epoch  7, Batch    254, Loss  0.548792, Average Loss  0.551050, Time  0.232674
2021-09-11 04:32:22.617039 : Epoch  7, Batch    255, Loss  0.549919, Average Loss  0.551018, Time  0.232652
2021-09-11 04:32:24.158899 : Epoch  7, Batch    256, Loss  0.555654, Average Loss  0.551042, Time  0.254711
2021-09-11 04:32:25.682323 : Epoch  7, Batch    257, Loss  0.552575, Average Loss  0.550979, Time  0.232152
2021-09-11 04:32:27.203329 : Epoch  7, Batch    258, Loss  0.561222, Average Loss  0.551029, Time  0.232625
2021-09-11 04:32:28.856163 : Epoch  7, Batch    259, Loss  0.545279, Average Loss  0.550959, Time  0.314901
2021-09-11 04:32:30.384133 : Epoch  7, Batch    260, Loss  0.555426, Average Loss  0.550904, Time  0.232956
2021-09-11 04:32:31.915953 : Epoch  7, Batch    261, Loss  0.535544, Average Loss  0.550848, Time  0.232719
2021-09-11 04:32:33.448330 : Epoch  7, Batch    262, Loss  0.541803, Average Loss  0.550821, Time  0.232990
2021-09-11 04:32:34.963011 : Epoch  7, Batch    263, Loss  0.532237, Average Loss  0.550713, Time  0.232735
2021-09-11 04:32:36.485563 : Epoch  7, Batch    264, Loss  0.560537, Average Loss  0.550735, Time  0.232790
2021-09-11 04:32:38.033112 : Epoch  7, Batch    265, Loss  0.544555, Average Loss  0.550684, Time  0.234008
2021-09-11 04:32:39.568381 : Epoch  7, Batch    266, Loss  0.546795, Average Loss  0.550637, Time  0.232547
2021-09-11 04:32:41.156864 : Epoch  7, Batch    267, Loss  0.552795, Average Loss  0.550673, Time  0.232859
2021-09-11 04:32:42.686361 : Epoch  7, Batch    268, Loss  0.546908, Average Loss  0.550723, Time  0.232807
2021-09-11 04:32:44.212341 : Epoch  7, Batch    269, Loss  0.552975, Average Loss  0.550817, Time  0.232299
2021-09-11 04:32:45.806315 : Epoch  7, Batch    270, Loss  0.547434, Average Loss  0.550821, Time  0.305861
2021-09-11 04:32:47.501093 : Epoch  7, Batch    271, Loss  0.550251, Average Loss  0.550784, Time  0.253260
2021-09-11 04:32:49.030318 : Epoch  7, Batch    272, Loss  0.540951, Average Loss  0.550713, Time  0.232378
2021-09-11 04:32:50.630197 : Epoch  7, Batch    273, Loss  0.537821, Average Loss  0.550669, Time  0.313519
2021-09-11 04:32:52.153268 : Epoch  7, Batch    274, Loss  0.548770, Average Loss  0.550725, Time  0.232609
2021-09-11 04:32:53.666858 : Epoch  7, Batch    275, Loss  0.553527, Average Loss  0.550810, Time  0.231834
2021-09-11 04:32:55.462984 : Epoch  7, Batch    276, Loss  0.547095, Average Loss  0.550803, Time  0.333038
2021-09-11 04:32:57.165465 : Epoch  7, Batch    277, Loss  0.547871, Average Loss  0.550741, Time  0.253604
2021-09-11 04:33:01.205819 : Epoch  7, Batch    278, Loss  0.557071, Average Loss  0.550714, Time  0.289490
2021-09-11 04:33:58.262714 : CheckPoint: Validation Loss  0.00023285, Best Loss  0.00021921
2021-09-11 04:33:59.804046 : Epoch  7, Batch    279, Loss  0.555865, Average Loss  0.550728, Time  0.233956
2021-09-11 04:34:01.353049 : Epoch  7, Batch    280, Loss  0.546798, Average Loss  0.550751, Time  0.232249
2021-09-11 04:34:02.956006 : Epoch  7, Batch    281, Loss  0.550254, Average Loss  0.550716, Time  0.232516
2021-09-11 04:34:04.499364 : Epoch  7, Batch    282, Loss  0.560992, Average Loss  0.550743, Time  0.233658
2021-09-11 04:34:06.036221 : Epoch  7, Batch    283, Loss  0.553699, Average Loss  0.550763, Time  0.233255
2021-09-11 04:34:07.568393 : Epoch  7, Batch    284, Loss  0.558569, Average Loss  0.550755, Time  0.234005
2021-09-11 04:34:09.093561 : Epoch  7, Batch    285, Loss  0.563209, Average Loss  0.550814, Time  0.232603
2021-09-11 04:34:10.623408 : Epoch  7, Batch    286, Loss  0.544756, Average Loss  0.550897, Time  0.232905
2021-09-11 04:34:12.150559 : Epoch  7, Batch    287, Loss  0.544222, Average Loss  0.550869, Time  0.232690
2021-09-11 04:34:13.676823 : Epoch  7, Batch    288, Loss  0.561781, Average Loss  0.550897, Time  0.233185
2021-09-11 04:34:15.323940 : Epoch  7, Batch    289, Loss  0.551909, Average Loss  0.550855, Time  0.317447
2021-09-11 04:34:16.876856 : Epoch  7, Batch    290, Loss  0.551840, Average Loss  0.550964, Time  0.232768
2021-09-11 04:34:18.412806 : Epoch  7, Batch    291, Loss  0.554749, Average Loss  0.550963, Time  0.232276
2021-09-11 04:34:20.029949 : Epoch  7, Batch    292, Loss  0.558271, Average Loss  0.550991, Time  0.314362
2021-09-11 04:34:21.563096 : Epoch  7, Batch    293, Loss  0.530261, Average Loss  0.550835, Time  0.234713
2021-09-11 04:34:23.094000 : Epoch  7, Batch    294, Loss  0.551719, Average Loss  0.550856, Time  0.235431
2021-09-11 04:34:24.676262 : Epoch  7, Batch    295, Loss  0.555185, Average Loss  0.550869, Time  0.234515
2021-09-11 04:34:26.212360 : Epoch  7, Batch    296, Loss  0.554269, Average Loss  0.550889, Time  0.232463
2021-09-11 04:34:27.737875 : Epoch  7, Batch    297, Loss  0.544425, Average Loss  0.550782, Time  0.232554
2021-09-11 04:34:29.284947 : Epoch  7, Batch    298, Loss  0.557716, Average Loss  0.550772, Time  0.233525
2021-09-11 04:34:30.835397 : Epoch  7, Batch    299, Loss  0.558326, Average Loss  0.550873, Time  0.233877
2021-09-11 04:34:32.367011 : Epoch  7, Batch    300, Loss  0.550308, Average Loss  0.550879, Time  0.232306
2021-09-11 04:34:33.896932 : Epoch  7, Batch    301, Loss  0.547050, Average Loss  0.550946, Time  0.232196
2021-09-11 04:34:35.441307 : Epoch  7, Batch    302, Loss  0.554916, Average Loss  0.550861, Time  0.233611
2021-09-11 04:34:36.985933 : Epoch  7, Batch    303, Loss  0.557830, Average Loss  0.550924, Time  0.233804
2021-09-11 04:34:38.277730 : CheckPoint: Validation Loss  0.00030547, Best Loss  0.00029547
2021-09-11 04:34:38.682997 : Epoch  7, Batch    304, Loss  0.541815, Average Loss  0.550888, Time  0.252478
2021-09-11 04:34:40.367161 : Epoch  7, Batch    305, Loss  0.550646, Average Loss  0.550885, Time  0.252119
2021-09-11 04:34:40.915226 : Epoch  2, Batch    245, Loss  0.883819, Average Loss  0.871251, Time  0.262105
2021-09-11 04:34:41.919191 : Epoch  7, Batch    306, Loss  0.550132, Average Loss  0.550949, Time  0.234595
2021-09-11 04:34:43.589038 : Epoch  7, Batch    307, Loss  0.541279, Average Loss  0.550928, Time  0.366444
2021-09-11 04:34:43.701393 : Epoch  2, Batch    246, Loss  0.880597, Average Loss  0.871216, Time  0.335700
2021-09-11 04:34:45.124340 : Epoch  7, Batch    308, Loss  0.553142, Average Loss  0.550953, Time  0.232457
2021-09-11 04:34:46.431443 : Epoch  2, Batch    247, Loss  0.896876, Average Loss  0.871270, Time  0.263111
2021-09-11 04:34:46.653954 : Epoch  7, Batch    309, Loss  0.547737, Average Loss  0.550933, Time  0.234167
2021-09-11 04:34:48.174393 : Epoch  7, Batch    310, Loss  0.549092, Average Loss  0.550945, Time  0.234313
2021-09-11 04:34:49.058432 : Epoch  2, Batch    248, Loss  0.872618, Average Loss  0.871301, Time  0.243817
2021-09-11 04:34:49.693813 : Epoch  7, Batch    311, Loss  0.555424, Average Loss  0.550949, Time  0.232555
2021-09-11 04:34:51.250944 : Epoch  7, Batch    312, Loss  0.554423, Average Loss  0.550950, Time  0.233872
2021-09-11 04:34:51.685007 : Epoch  2, Batch    249, Loss  0.894316, Average Loss  0.871533, Time  0.241107
2021-09-11 04:34:52.797225 : Epoch  7, Batch    313, Loss  0.545015, Average Loss  0.550959, Time  0.234607
2021-09-11 04:34:54.571374 : Epoch  2, Batch    250, Loss  0.868951, Average Loss  0.871591, Time  0.481761
2021-09-11 04:34:54.614544 : Epoch  7, Batch    314, Loss  0.548412, Average Loss  0.550936, Time  0.478561
2021-09-11 04:34:56.132789 : Epoch  7, Batch    315, Loss  0.552142, Average Loss  0.550940, Time  0.232811
2021-09-11 04:34:57.187197 : Epoch  2, Batch    251, Loss  0.874582, Average Loss  0.871513, Time  0.242326
2021-09-11 04:34:57.672600 : Epoch  7, Batch    316, Loss  0.553550, Average Loss  0.550978, Time  0.233410
2021-09-11 04:34:59.223888 : Epoch  7, Batch    317, Loss  0.544877, Average Loss  0.550953, Time  0.233169
2021-09-11 04:34:59.823934 : Epoch  2, Batch    252, Loss  0.875522, Average Loss  0.871488, Time  0.242815
2021-09-11 04:35:00.747840 : Epoch  7, Batch    318, Loss  0.539353, Average Loss  0.550928, Time  0.232612
2021-09-11 04:35:02.360952 : Epoch  7, Batch    319, Loss  0.561513, Average Loss  0.550956, Time  0.320668
2021-09-11 04:35:02.491060 : Epoch  2, Batch    253, Loss  0.886607, Average Loss  0.871575, Time  0.284523
2021-09-11 04:35:03.922079 : Epoch  7, Batch    320, Loss  0.558996, Average Loss  0.551013, Time  0.234276
2021-09-11 04:35:05.153425 : Epoch  2, Batch    254, Loss  0.890332, Average Loss  0.871715, Time  0.243660
2021-09-11 04:35:05.480471 : Epoch  7, Batch    321, Loss  0.555141, Average Loss  0.551011, Time  0.233454
2021-09-11 04:35:06.997145 : Epoch  7, Batch    322, Loss  0.550155, Average Loss  0.551048, Time  0.232793
2021-09-11 04:35:07.771457 : Epoch  2, Batch    255, Loss  0.866414, Average Loss  0.871682, Time  0.242239
2021-09-11 04:35:08.543951 : Epoch  7, Batch    323, Loss  0.551326, Average Loss  0.551050, Time  0.233370
2021-09-11 04:35:10.073435 : Epoch  7, Batch    324, Loss  0.542833, Average Loss  0.550926, Time  0.232774
2021-09-11 04:35:10.411969 : Epoch  2, Batch    256, Loss  0.895071, Average Loss  0.871765, Time  0.247327
2021-09-11 04:35:11.593847 : Epoch  7, Batch    325, Loss  0.559480, Average Loss  0.550994, Time  0.232580
2021-09-11 04:35:13.218445 : Epoch  2, Batch    257, Loss  0.890421, Average Loss  0.871830, Time  0.425677
2021-09-11 04:35:13.259871 : Epoch  7, Batch    326, Loss  0.536670, Average Loss  0.550954, Time  0.359756
2021-09-11 04:35:15.033048 : Epoch  7, Batch    327, Loss  0.542440, Average Loss  0.550950, Time  0.234206
2021-09-11 04:35:15.886585 : Epoch  2, Batch    258, Loss  0.877321, Average Loss  0.871979, Time  0.242267
2021-09-11 04:35:16.563872 : Epoch  7, Batch    328, Loss  0.567094, Average Loss  0.551061, Time  0.232419
2021-09-11 04:35:18.093050 : Epoch  7, Batch    329, Loss  0.559185, Average Loss  0.551046, Time  0.233433
2021-09-11 04:35:18.511098 : Epoch  2, Batch    259, Loss  0.852621, Average Loss  0.871887, Time  0.243809
2021-09-11 04:35:19.608906 : Epoch  7, Batch    330, Loss  0.562379, Average Loss  0.551154, Time  0.233147
2021-09-11 04:35:21.353021 : Epoch  7, Batch    331, Loss  0.536812, Average Loss  0.551016, Time  0.452558
2021-09-11 04:35:21.401213 : Epoch  2, Batch    260, Loss  0.871954, Average Loss  0.871801, Time  0.452251
2021-09-11 04:35:22.878025 : Epoch  7, Batch    332, Loss  0.536431, Average Loss  0.550893, Time  0.233167
2021-09-11 04:35:24.038473 : Epoch  2, Batch    261, Loss  0.874915, Average Loss  0.871867, Time  0.242718
2021-09-11 04:35:24.472048 : Epoch  7, Batch    333, Loss  0.555750, Average Loss  0.550969, Time  0.287545
2021-09-11 04:35:26.166588 : Epoch  7, Batch    334, Loss  0.565992, Average Loss  0.551062, Time  0.252014
2021-09-11 04:35:26.676906 : Epoch  2, Batch    262, Loss  0.863633, Average Loss  0.871875, Time  0.242603
2021-09-11 04:35:27.711253 : Epoch  7, Batch    335, Loss  0.550468, Average Loss  0.551036, Time  0.232964
2021-09-11 04:35:29.483686 : Epoch  7, Batch    336, Loss  0.532687, Average Loss  0.550926, Time  0.450866
2021-09-11 04:35:29.531518 : Epoch  2, Batch    263, Loss  0.875726, Average Loss  0.871933, Time  0.424087
2021-09-11 04:35:31.006070 : Epoch  7, Batch    337, Loss  0.535317, Average Loss  0.550876, Time  0.232808
2021-09-11 04:35:32.149511 : Epoch  2, Batch    264, Loss  0.845971, Average Loss  0.871794, Time  0.245312
2021-09-11 04:35:32.690808 : Epoch  7, Batch    338, Loss  0.560217, Average Loss  0.550896, Time  0.252253
2021-09-11 04:35:34.372257 : Epoch  7, Batch    339, Loss  0.555488, Average Loss  0.550919, Time  0.252052
2021-09-11 04:35:34.780455 : Epoch  2, Batch    265, Loss  0.888917, Average Loss  0.871842, Time  0.244118
2021-09-11 04:35:36.078446 : Epoch  7, Batch    340, Loss  0.565518, Average Loss  0.550926, Time  0.254846
2021-09-11 04:35:37.404058 : Epoch  2, Batch    266, Loss  0.866246, Average Loss  0.871910, Time  0.243753
2021-09-11 04:35:37.827815 : Epoch  7, Batch    341, Loss  0.556022, Average Loss  0.550987, Time  0.255592
2021-09-11 04:35:39.509180 : Epoch  7, Batch    342, Loss  0.555348, Average Loss  0.551043, Time  0.252016
2021-09-11 04:35:40.035461 : Epoch  2, Batch    267, Loss  0.858516, Average Loss  0.871669, Time  0.244105
2021-09-11 04:35:41.185352 : Epoch  7, Batch    343, Loss  0.547220, Average Loss  0.550972, Time  0.251602
2021-09-11 04:35:42.856465 : Epoch  2, Batch    268, Loss  0.888853, Average Loss  0.871787, Time  0.442609
2021-09-11 04:35:42.910944 : Epoch  7, Batch    344, Loss  0.543315, Average Loss  0.550938, Time  0.380090
2021-09-11 04:35:44.436371 : Epoch  7, Batch    345, Loss  0.538729, Average Loss  0.550824, Time  0.232233
2021-09-11 04:35:45.568848 : Epoch  2, Batch    269, Loss  0.886656, Average Loss  0.871790, Time  0.258866
2021-09-11 04:35:45.955657 : Epoch  7, Batch    346, Loss  0.553627, Average Loss  0.550798, Time  0.233066
2021-09-11 04:35:47.485976 : Epoch  7, Batch    347, Loss  0.522608, Average Loss  0.550706, Time  0.233602
2021-09-11 04:35:48.279855 : Epoch  2, Batch    270, Loss  0.873670, Average Loss  0.871701, Time  0.261792
2021-09-11 04:35:49.013877 : Epoch  7, Batch    348, Loss  0.548000, Average Loss  0.550709, Time  0.232659
2021-09-11 04:35:50.893476 : Epoch  2, Batch    271, Loss  0.869866, Average Loss  0.871638, Time  0.242557
2021-09-11 04:35:52.931929 : Epoch  7, Batch    349, Loss  0.560998, Average Loss  0.550736, Time  0.236199
2021-09-11 04:35:53.532496 : Epoch  2, Batch    272, Loss  0.869980, Average Loss  0.871736, Time  0.248166
2021-09-11 04:35:54.629113 : Epoch  7, Batch    350, Loss  0.540863, Average Loss  0.550737, Time  0.252589
2021-09-11 04:35:56.383472 : Epoch  2, Batch    273, Loss  0.858788, Average Loss  0.871639, Time  0.457494
2021-09-11 04:35:56.428133 : Epoch  7, Batch    351, Loss  0.552681, Average Loss  0.550789, Time  0.445340
2021-09-11 04:35:57.996343 : Epoch  7, Batch    352, Loss  0.547416, Average Loss  0.550804, Time  0.233131
2021-09-11 04:35:59.005953 : Epoch  2, Batch    274, Loss  0.863516, Average Loss  0.871617, Time  0.239334
2021-09-11 04:35:59.535853 : Epoch  7, Batch    353, Loss  0.543781, Average Loss  0.550736, Time  0.232878
2021-09-11 04:36:01.068984 : Epoch  7, Batch    354, Loss  0.538681, Average Loss  0.550673, Time  0.233375
2021-09-11 04:36:01.628862 : Epoch  2, Batch    275, Loss  0.869098, Average Loss  0.871545, Time  0.239085
2021-09-11 04:36:02.606872 : Epoch  7, Batch    355, Loss  0.534617, Average Loss  0.550638, Time  0.234211
2021-09-11 04:36:04.307292 : Epoch  7, Batch    356, Loss  0.555195, Average Loss  0.550713, Time  0.398617
2021-09-11 04:36:04.380643 : Epoch  2, Batch    276, Loss  0.889635, Average Loss  0.871653, Time  0.344544
2021-09-11 04:36:05.838053 : Epoch  7, Batch    357, Loss  0.536865, Average Loss  0.550659, Time  0.233152
2021-09-11 04:36:07.022098 : Epoch  2, Batch    277, Loss  0.897419, Average Loss  0.871817, Time  0.241169
2021-09-11 04:36:07.369851 : Epoch  7, Batch    358, Loss  0.545717, Average Loss  0.550680, Time  0.232909
2021-09-11 04:36:08.929083 : Epoch  7, Batch    359, Loss  0.549111, Average Loss  0.550600, Time  0.234883
2021-09-11 04:36:09.644942 : Epoch  2, Batch    278, Loss  0.880471, Average Loss  0.871795, Time  0.245176
2021-09-11 04:36:10.467967 : Epoch  7, Batch    360, Loss  0.536437, Average Loss  0.550527, Time  0.236995
2021-09-11 04:36:11.428718 : CheckPoint: Validation Loss  0.00059842, Best Loss  0.00057296
2021-09-11 04:36:12.001879 : Epoch  7, Batch    361, Loss  0.545980, Average Loss  0.550519, Time  0.233130
2021-09-11 04:36:12.276451 : Epoch  2, Batch    279, Loss  0.883446, Average Loss  0.871943, Time  0.242786
2021-09-11 04:36:13.082953 : Epoch  3, Batch   2679, Loss  0.872433, Average Loss  0.869237, Time  0.178267
2021-09-11 04:36:13.551122 : Epoch  7, Batch    362, Loss  0.550811, Average Loss  0.550492, Time  0.233337
2021-09-11 04:36:14.699926 : Epoch  3, Batch   2680, Loss  0.892157, Average Loss  0.869518, Time  0.171551
2021-09-11 04:36:14.928560 : Epoch  2, Batch    280, Loss  0.881058, Average Loss  0.872086, Time  0.252459
2021-09-11 04:36:15.244940 : Epoch  7, Batch    363, Loss  0.542246, Average Loss  0.550452, Time  0.239032
2021-09-11 04:36:16.324869 : Epoch  3, Batch   2681, Loss  0.852573, Average Loss  0.869458, Time  0.172924
2021-09-11 04:36:16.786071 : Epoch  7, Batch    364, Loss  0.555218, Average Loss  0.550387, Time  0.232744
2021-09-11 04:36:17.557170 : Epoch  2, Batch    281, Loss  0.870676, Average Loss  0.871980, Time  0.241082
2021-09-11 04:36:17.949753 : Epoch  3, Batch   2682, Loss  0.874245, Average Loss  0.869547, Time  0.172310
2021-09-11 04:36:18.340839 : Epoch  7, Batch    365, Loss  0.548008, Average Loss  0.550313, Time  0.232620
2021-09-11 04:36:19.557812 : Epoch  3, Batch   2683, Loss  0.848990, Average Loss  0.869371, Time  0.171148
2021-09-11 04:36:19.904010 : Epoch  7, Batch    366, Loss  0.560706, Average Loss  0.550345, Time  0.233136
2021-09-11 04:36:20.297572 : Epoch  2, Batch    282, Loss  0.867774, Average Loss  0.871967, Time  0.251202
2021-09-11 04:36:21.176029 : Epoch  3, Batch   2684, Loss  0.836641, Average Loss  0.869093, Time  0.170151
2021-09-11 04:36:21.467470 : Epoch  7, Batch    367, Loss  0.542286, Average Loss  0.550301, Time  0.234390
2021-09-11 04:36:22.815743 : Epoch  3, Batch   2685, Loss  0.828674, Average Loss  0.868862, Time  0.174551
2021-09-11 04:36:23.126672 : Epoch  2, Batch    283, Loss  0.885188, Average Loss  0.872025, Time  0.441813
2021-09-11 04:36:23.175108 : Epoch  7, Batch    368, Loss  0.548411, Average Loss  0.550272, Time  0.358997
2021-09-11 04:36:24.425863 : Epoch  3, Batch   2686, Loss  0.879131, Average Loss  0.868869, Time  0.170182
2021-09-11 04:36:24.714255 : Epoch  7, Batch    369, Loss  0.537790, Average Loss  0.550245, Time  0.232396
2021-09-11 04:36:25.816021 : Epoch  2, Batch    284, Loss  0.870751, Average Loss  0.872102, Time  0.241990
2021-09-11 04:36:26.058028 : Epoch  3, Batch   2687, Loss  0.874107, Average Loss  0.868882, Time  0.172102
2021-09-11 04:36:26.245863 : Epoch  7, Batch    370, Loss  0.544389, Average Loss  0.550250, Time  0.233804
2021-09-11 04:36:27.685035 : Epoch  3, Batch   2688, Loss  0.876139, Average Loss  0.868799, Time  0.170270
2021-09-11 04:36:27.784129 : Epoch  7, Batch    371, Loss  0.544028, Average Loss  0.550269, Time  0.233562
2021-09-11 04:36:28.449963 : Epoch  2, Batch    285, Loss  0.851281, Average Loss  0.872187, Time  0.242368
2021-09-11 04:36:29.294021 : Epoch  3, Batch   2689, Loss  0.874069, Average Loss  0.868737, Time  0.171148
2021-09-11 04:36:29.339328 : Epoch  7, Batch    372, Loss  0.554591, Average Loss  0.550208, Time  0.233269
2021-09-11 04:36:30.927028 : Epoch  3, Batch   2690, Loss  0.844756, Average Loss  0.868650, Time  0.175092
2021-09-11 04:36:30.927789 : Epoch  7, Batch    373, Loss  0.548532, Average Loss  0.550194, Time  0.291595
2021-09-11 04:36:31.084496 : Epoch  2, Batch    286, Loss  0.858818, Average Loss  0.872088, Time  0.259066
2021-09-11 04:36:32.564058 : Epoch  3, Batch   2691, Loss  0.854679, Average Loss  0.868549, Time  0.174554
2021-09-11 04:36:32.645227 : Epoch  7, Batch    374, Loss  0.560185, Average Loss  0.550257, Time  0.251878
2021-09-11 04:36:33.726955 : Epoch  2, Batch    287, Loss  0.847828, Average Loss  0.872043, Time  0.241998
2021-09-11 04:36:34.163921 : Epoch  7, Batch    375, Loss  0.551333, Average Loss  0.550226, Time  0.233295
2021-09-11 04:36:34.193060 : Epoch  3, Batch   2692, Loss  0.869518, Average Loss  0.868779, Time  0.173264
2021-09-11 04:36:35.800735 : Epoch  3, Batch   2693, Loss  0.865609, Average Loss  0.868728, Time  0.170254
2021-09-11 04:36:35.854974 : Epoch  7, Batch    376, Loss  0.550465, Average Loss  0.550239, Time  0.252203
2021-09-11 04:36:36.351409 : Epoch  2, Batch    288, Loss  0.875498, Average Loss  0.871972, Time  0.243882
2021-09-11 04:36:37.428853 : Epoch  3, Batch   2694, Loss  0.868536, Average Loss  0.868649, Time  0.173395
2021-09-11 04:36:37.526373 : Epoch  7, Batch    377, Loss  0.548928, Average Loss  0.550162, Time  0.254801
2021-09-11 04:36:38.975437 : Epoch  2, Batch    289, Loss  0.863344, Average Loss  0.871938, Time  0.242096
2021-09-11 04:36:39.032750 : Epoch  3, Batch   2695, Loss  0.875672, Average Loss  0.868513, Time  0.170536
2021-09-11 04:36:39.236499 : Epoch  7, Batch    378, Loss  0.536707, Average Loss  0.550141, Time  0.253588
2021-09-11 04:36:40.686025 : Epoch  3, Batch   2696, Loss  0.906391, Average Loss  0.868614, Time  0.172993
2021-09-11 04:36:41.590506 : Epoch  2, Batch    290, Loss  0.864075, Average Loss  0.871946, Time  0.241674
2021-09-11 04:36:42.302035 : Epoch  3, Batch   2697, Loss  0.879440, Average Loss  0.868479, Time  0.185715
2021-09-11 04:36:43.927033 : Epoch  3, Batch   2698, Loss  0.839021, Average Loss  0.868364, Time  0.170973
2021-09-11 04:36:44.254951 : Epoch  2, Batch    291, Loss  0.868972, Average Loss  0.871789, Time  0.261735
2021-09-11 04:36:45.541825 : Epoch  3, Batch   2699, Loss  0.875425, Average Loss  0.868411, Time  0.170196
2021-09-11 04:36:47.042969 : Epoch  2, Batch    292, Loss  0.874231, Average Loss  0.871862, Time  0.335233
2021-09-11 04:36:47.157033 : Epoch  3, Batch   2700, Loss  0.875465, Average Loss  0.868479, Time  0.174098
2021-09-11 04:36:48.766029 : Epoch  3, Batch   2701, Loss  0.863547, Average Loss  0.868519, Time  0.171792
2021-09-11 04:36:49.834281 : Epoch  2, Batch    293, Loss  0.873318, Average Loss  0.871874, Time  0.341886
2021-09-11 04:36:50.370754 : Epoch  3, Batch   2702, Loss  0.888002, Average Loss  0.868687, Time  0.174647
2021-09-11 04:36:51.996821 : Epoch  3, Batch   2703, Loss  0.885736, Average Loss  0.868715, Time  0.170014
2021-09-11 04:36:52.583385 : Epoch  2, Batch    294, Loss  0.867237, Average Loss  0.871789, Time  0.276433
2021-09-11 04:36:53.596754 : Epoch  3, Batch   2704, Loss  0.870924, Average Loss  0.868778, Time  0.172074
2021-09-11 04:36:55.204042 : Epoch  3, Batch   2705, Loss  0.861071, Average Loss  0.868832, Time  0.171186
2021-09-11 04:36:55.247003 : Epoch  2, Batch    295, Loss  0.879930, Average Loss  0.871852, Time  0.261839
2021-09-11 04:36:56.859032 : Epoch  3, Batch   2706, Loss  0.870960, Average Loss  0.868830, Time  0.175418
2021-09-11 04:36:57.945898 : Epoch  2, Batch    296, Loss  0.861807, Average Loss  0.871796, Time  0.260798
2021-09-11 04:36:58.480037 : Epoch  3, Batch   2707, Loss  0.895565, Average Loss  0.868902, Time  0.172327
2021-09-11 04:37:00.129788 : Epoch  3, Batch   2708, Loss  0.896751, Average Loss  0.869086, Time  0.184407
2021-09-11 04:37:00.677027 : Epoch  2, Batch    297, Loss  0.878139, Average Loss  0.871767, Time  0.264830
2021-09-11 04:37:01.759743 : Epoch  3, Batch   2709, Loss  0.862084, Average Loss  0.869000, Time  0.172960
2021-09-11 04:37:03.396787 : Epoch  3, Batch   2710, Loss  0.875238, Average Loss  0.868996, Time  0.173699
2021-09-11 04:37:03.406545 : Epoch  2, Batch    298, Loss  0.866269, Average Loss  0.871704, Time  0.267015
2021-09-11 04:37:05.027743 : Epoch  3, Batch   2711, Loss  0.876980, Average Loss  0.869011, Time  0.173105
2021-09-11 04:37:06.113829 : Epoch  2, Batch    299, Loss  0.891937, Average Loss  0.871832, Time  0.239998
2021-09-11 04:37:06.664038 : Epoch  3, Batch   2712, Loss  0.843149, Average Loss  0.868870, Time  0.170458
2021-09-11 04:37:08.296786 : Epoch  3, Batch   2713, Loss  0.868148, Average Loss  0.868955, Time  0.169849
2021-09-11 04:37:08.745114 : Epoch  2, Batch    300, Loss  0.857968, Average Loss  0.871821, Time  0.245125
2021-09-11 04:37:09.931351 : Epoch  3, Batch   2714, Loss  0.875646, Average Loss  0.868815, Time  0.179901
2021-09-11 04:37:11.364043 : Epoch  2, Batch    301, Loss  0.880793, Average Loss  0.871809, Time  0.239313
2021-09-11 04:37:11.614772 : Epoch  3, Batch   2715, Loss  0.845584, Average Loss  0.868562, Time  0.170049
2021-09-11 04:37:13.246785 : Epoch  3, Batch   2716, Loss  0.872882, Average Loss  0.868569, Time  0.179603
2021-09-11 04:37:14.026899 : Epoch  2, Batch    302, Loss  0.857100, Average Loss  0.871811, Time  0.243585
2021-09-11 04:37:14.882893 : Epoch  3, Batch   2717, Loss  0.894995, Average Loss  0.868629, Time  0.173045
2021-09-11 04:37:16.501842 : Epoch  3, Batch   2718, Loss  0.864394, Average Loss  0.868477, Time  0.173051
2021-09-11 04:37:16.658052 : Epoch  2, Batch    303, Loss  0.852501, Average Loss  0.871623, Time  0.245516
2021-09-11 04:37:18.140835 : Epoch  3, Batch   2719, Loss  0.864257, Average Loss  0.868254, Time  0.170248
2021-09-11 04:37:19.287029 : Epoch  2, Batch    304, Loss  0.881947, Average Loss  0.871718, Time  0.240990
2021-09-11 04:37:19.752746 : Epoch  3, Batch   2720, Loss  0.854292, Average Loss  0.868213, Time  0.171146
2021-09-11 04:37:21.386021 : Epoch  3, Batch   2721, Loss  0.825904, Average Loss  0.867973, Time  0.173999
2021-09-11 04:37:21.912165 : Epoch  2, Batch    305, Loss  0.871397, Average Loss  0.871643, Time  0.242594
2021-09-11 04:37:23.024036 : Epoch  3, Batch   2722, Loss  0.883736, Average Loss  0.868081, Time  0.178623
2021-09-11 04:37:24.528273 : Epoch  2, Batch    306, Loss  0.892328, Average Loss  0.871748, Time  0.244759
2021-09-11 04:37:24.657799 : Epoch  3, Batch   2723, Loss  0.865963, Average Loss  0.868108, Time  0.170992
2021-09-11 04:37:26.269899 : Epoch  3, Batch   2724, Loss  0.880483, Average Loss  0.868014, Time  0.172427
2021-09-11 04:37:27.177147 : Epoch  2, Batch    307, Loss  0.879090, Average Loss  0.871782, Time  0.245544
2021-09-11 04:37:27.906036 : Epoch  3, Batch   2725, Loss  0.887649, Average Loss  0.868122, Time  0.180876
2021-09-11 04:37:29.538750 : Epoch  3, Batch   2726, Loss  0.844575, Average Loss  0.867975, Time  0.170092
2021-09-11 04:37:29.802481 : Epoch  2, Batch    308, Loss  0.868545, Average Loss  0.871697, Time  0.240517
2021-09-11 04:37:31.173016 : Epoch  3, Batch   2727, Loss  0.880098, Average Loss  0.868094, Time  0.174352
2021-09-11 04:37:32.463082 : Epoch  2, Batch    309, Loss  0.874974, Average Loss  0.871767, Time  0.256763
2021-09-11 04:37:32.832775 : Epoch  3, Batch   2728, Loss  0.890942, Average Loss  0.868230, Time  0.179247
2021-09-11 04:37:34.462044 : Epoch  3, Batch   2729, Loss  0.891505, Average Loss  0.868405, Time  0.172389
2021-09-11 04:37:35.118036 : Epoch  2, Batch    310, Loss  0.874714, Average Loss  0.871649, Time  0.244308
2021-09-11 04:37:36.098843 : Epoch  3, Batch   2730, Loss  0.898902, Average Loss  0.868623, Time  0.186403
2021-09-11 04:37:36.142340 : CheckPoint: Validation Loss  0.00022704, Best Loss  0.00021921
2021-09-11 04:37:37.721876 : Epoch  3, Batch   2731, Loss  0.867184, Average Loss  0.868521, Time  0.170250
2021-09-11 04:37:37.989099 : Epoch  2, Batch    311, Loss  0.874563, Average Loss  0.871672, Time  0.451327
2021-09-11 04:37:38.037208 : Epoch  7, Batch    379, Loss  0.560515, Average Loss  0.550247, Time  0.441434
2021-09-11 04:37:39.352058 : Epoch  3, Batch   2732, Loss  0.853055, Average Loss  0.868485, Time  0.172970
2021-09-11 04:37:39.587354 : Epoch  7, Batch    380, Loss  0.552221, Average Loss  0.550197, Time  0.236048
2021-09-11 04:37:40.616920 : Epoch  2, Batch    312, Loss  0.884884, Average Loss  0.871874, Time  0.244303
2021-09-11 04:37:40.994028 : Epoch  3, Batch   2733, Loss  0.909355, Average Loss  0.868772, Time  0.174266
2021-09-11 04:37:41.153235 : Epoch  7, Batch    381, Loss  0.538622, Average Loss  0.550106, Time  0.236108
2021-09-11 04:37:42.609875 : Epoch  3, Batch   2734, Loss  0.885515, Average Loss  0.868818, Time  0.170723
2021-09-11 04:37:42.739757 : Epoch  7, Batch    382, Loss  0.557748, Average Loss  0.550091, Time  0.237398
2021-09-11 04:37:43.254921 : Epoch  2, Batch    313, Loss  0.857933, Average Loss  0.871853, Time  0.243428
2021-09-11 04:37:44.255017 : Epoch  3, Batch   2735, Loss  0.872384, Average Loss  0.868854, Time  0.181754
2021-09-11 04:37:44.316972 : Epoch  7, Batch    383, Loss  0.554317, Average Loss  0.550158, Time  0.236362
2021-09-11 04:37:45.881040 : Epoch  3, Batch   2736, Loss  0.867802, Average Loss  0.868838, Time  0.170145
2021-09-11 04:37:46.077325 : Epoch  7, Batch    384, Loss  0.552838, Average Loss  0.550115, Time  0.449031
2021-09-11 04:37:46.122194 : Epoch  2, Batch    314, Loss  0.877428, Average Loss  0.871844, Time  0.401983
2021-09-11 04:37:47.529031 : Epoch  3, Batch   2737, Loss  0.899923, Average Loss  0.868947, Time  0.170329
2021-09-11 04:37:47.698204 : Epoch  7, Batch    385, Loss  0.554422, Average Loss  0.550150, Time  0.242087
2021-09-11 04:37:48.766153 : Epoch  2, Batch    315, Loss  0.860546, Average Loss  0.871759, Time  0.242626
2021-09-11 04:37:49.140815 : Epoch  3, Batch   2738, Loss  0.852521, Average Loss  0.868801, Time  0.172017
2021-09-11 04:37:49.274431 : Epoch  7, Batch    386, Loss  0.553997, Average Loss  0.550213, Time  0.235529
2021-09-11 04:37:50.777826 : Epoch  3, Batch   2739, Loss  0.850626, Average Loss  0.868669, Time  0.176363
2021-09-11 04:37:50.822057 : Epoch  7, Batch    387, Loss  0.555551, Average Loss  0.550249, Time  0.233928
2021-09-11 04:37:51.400575 : Epoch  2, Batch    316, Loss  0.859997, Average Loss  0.871683, Time  0.241356
2021-09-11 04:37:52.355418 : Epoch  7, Batch    388, Loss  0.541239, Average Loss  0.550152, Time  0.233461
2021-09-11 04:37:52.413047 : Epoch  3, Batch   2740, Loss  0.861405, Average Loss  0.868653, Time  0.169862
2021-09-11 04:37:54.027936 : Epoch  3, Batch   2741, Loss  0.839903, Average Loss  0.868427, Time  0.174988
2021-09-11 04:37:54.039087 : Epoch  7, Batch    389, Loss  0.557068, Average Loss  0.550255, Time  0.371638
2021-09-11 04:37:54.124083 : Epoch  2, Batch    317, Loss  0.872317, Average Loss  0.871666, Time  0.318502
2021-09-11 04:37:55.658922 : Epoch  3, Batch   2742, Loss  0.870482, Average Loss  0.868419, Time  0.170066
2021-09-11 04:37:55.726321 : Epoch  7, Batch    390, Loss  0.548209, Average Loss  0.550248, Time  0.235841
2021-09-11 04:37:56.748479 : Epoch  2, Batch    318, Loss  0.890824, Average Loss  0.871799, Time  0.243367
2021-09-11 04:37:57.288447 : Epoch  7, Batch    391, Loss  0.555009, Average Loss  0.550246, Time  0.234530
2021-09-11 04:37:57.307765 : Epoch  3, Batch   2743, Loss  0.889377, Average Loss  0.868596, Time  0.179725
2021-09-11 04:37:58.840546 : Epoch  7, Batch    392, Loss  0.545877, Average Loss  0.550279, Time  0.234579
2021-09-11 04:37:58.925785 : Epoch  3, Batch   2744, Loss  0.898833, Average Loss  0.868777, Time  0.178796
2021-09-11 04:37:59.367458 : Epoch  2, Batch    319, Loss  0.867959, Average Loss  0.871679, Time  0.242839
2021-09-11 04:38:00.405748 : Epoch  7, Batch    393, Loss  0.543866, Average Loss  0.550264, Time  0.234518
2021-09-11 04:38:00.570027 : Epoch  3, Batch   2745, Loss  0.853951, Average Loss  0.868593, Time  0.170549
2021-09-11 04:38:02.197744 : Epoch  3, Batch   2746, Loss  0.869589, Average Loss  0.868508, Time  0.177217
2021-09-11 04:38:02.265538 : Epoch  7, Batch    394, Loss  0.561165, Average Loss  0.550307, Time  0.457653
2021-09-11 04:38:02.282034 : Epoch  2, Batch    320, Loss  0.865073, Average Loss  0.871675, Time  0.461826
2021-09-11 04:38:03.813869 : Epoch  3, Batch   2747, Loss  0.874889, Average Loss  0.868616, Time  0.171757
2021-09-11 04:38:03.829967 : Epoch  7, Batch    395, Loss  0.551394, Average Loss  0.550311, Time  0.237396
2021-09-11 04:38:04.957968 : Epoch  2, Batch    321, Loss  0.864704, Average Loss  0.871585, Time  0.244864
2021-09-11 04:38:05.418745 : Epoch  7, Batch    396, Loss  0.548696, Average Loss  0.550340, Time  0.237278
2021-09-11 04:38:05.465028 : Epoch  3, Batch   2748, Loss  0.886104, Average Loss  0.868686, Time  0.172880
2021-09-11 04:38:06.984431 : Epoch  7, Batch    397, Loss  0.558989, Average Loss  0.550396, Time  0.234648
2021-09-11 04:38:07.067039 : Epoch  3, Batch   2749, Loss  0.874081, Average Loss  0.868825, Time  0.174918
2021-09-11 04:38:07.689998 : Epoch  2, Batch    322, Loss  0.885192, Average Loss  0.871646, Time  0.264441
2021-09-11 04:38:08.574280 : Epoch  7, Batch    398, Loss  0.541764, Average Loss  0.550359, Time  0.241368
2021-09-11 04:38:08.702746 : Epoch  3, Batch   2750, Loss  0.898521, Average Loss  0.869073, Time  0.172939
2021-09-11 04:38:10.325034 : Epoch  3, Batch   2751, Loss  0.894462, Average Loss  0.869181, Time  0.171983
2021-09-11 04:38:10.436866 : Epoch  7, Batch    399, Loss  0.546998, Average Loss  0.550312, Time  0.425338
2021-09-11 04:38:10.481970 : Epoch  2, Batch    323, Loss  0.865189, Average Loss  0.871587, Time  0.352338
2021-09-11 04:38:11.985375 : Epoch  3, Batch   2752, Loss  0.875641, Average Loss  0.869303, Time  0.184053
2021-09-11 04:38:12.016448 : Epoch  7, Batch    400, Loss  0.544067, Average Loss  0.550294, Time  0.235389
2021-09-11 04:38:13.097871 : Epoch  2, Batch    324, Loss  0.893204, Average Loss  0.871807, Time  0.243630
2021-09-11 04:38:13.590208 : Epoch  7, Batch    401, Loss  0.545376, Average Loss  0.550254, Time  0.235097
2021-09-11 04:38:13.619842 : Epoch  3, Batch   2753, Loss  0.880470, Average Loss  0.869197, Time  0.176759
2021-09-11 04:38:15.151211 : Epoch  7, Batch    402, Loss  0.550641, Average Loss  0.550278, Time  0.235008
2021-09-11 04:38:15.273038 : Epoch  3, Batch   2754, Loss  0.860789, Average Loss  0.869237, Time  0.181062
2021-09-11 04:38:15.743468 : Epoch  2, Batch    325, Loss  0.872855, Average Loss  0.871811, Time  0.247614
2021-09-11 04:38:16.711108 : Epoch  7, Batch    403, Loss  0.544837, Average Loss  0.550221, Time  0.234828
2021-09-11 04:38:16.912029 : Epoch  3, Batch   2755, Loss  0.870683, Average Loss  0.869324, Time  0.170081
2021-09-11 04:38:18.460949 : Epoch  7, Batch    404, Loss  0.545894, Average Loss  0.550186, Time  0.429254
2021-09-11 04:38:18.512844 : Epoch  2, Batch    326, Loss  0.851648, Average Loss  0.871625, Time  0.369969
2021-09-11 04:38:18.528032 : Epoch  3, Batch   2756, Loss  0.887749, Average Loss  0.869292, Time  0.174841
2021-09-11 04:38:20.037199 : Epoch  7, Batch    405, Loss  0.546635, Average Loss  0.550262, Time  0.238113
2021-09-11 04:38:20.185881 : Epoch  3, Batch   2757, Loss  0.892452, Average Loss  0.869471, Time  0.181133
2021-09-11 04:38:21.169223 : Epoch  2, Batch    327, Loss  0.867844, Average Loss  0.871497, Time  0.270197
2021-09-11 04:38:21.611688 : Epoch  7, Batch    406, Loss  0.543710, Average Loss  0.550244, Time  0.234267
2021-09-11 04:38:21.819036 : Epoch  3, Batch   2758, Loss  0.879599, Average Loss  0.869511, Time  0.172316
2021-09-11 04:38:23.152941 : Epoch  7, Batch    407, Loss  0.549833, Average Loss  0.550271, Time  0.236079
2021-09-11 04:38:23.434031 : Epoch  3, Batch   2759, Loss  0.895028, Average Loss  0.869503, Time  0.169912
2021-09-11 04:38:23.796368 : Epoch  2, Batch    328, Loss  0.849993, Average Loss  0.871398, Time  0.241850
2021-09-11 04:38:24.703624 : Epoch  7, Batch    408, Loss  0.544858, Average Loss  0.550213, Time  0.233847
2021-09-11 04:38:25.073029 : Epoch  3, Batch   2760, Loss  0.883619, Average Loss  0.869650, Time  0.172353
2021-09-11 04:38:26.263991 : Epoch  7, Batch    409, Loss  0.551718, Average Loss  0.550167, Time  0.236200
2021-09-11 04:38:26.482006 : Epoch  2, Batch    329, Loss  0.859282, Average Loss  0.871280, Time  0.253222
2021-09-11 04:38:26.714863 : Epoch  3, Batch   2761, Loss  0.843522, Average Loss  0.869600, Time  0.169687
2021-09-11 04:38:27.797914 : Epoch  7, Batch    410, Loss  0.552830, Average Loss  0.550153, Time  0.235918
2021-09-11 04:38:28.381785 : Epoch  3, Batch   2762, Loss  0.855823, Average Loss  0.869716, Time  0.170992
2021-09-11 04:38:29.100245 : Epoch  2, Batch    330, Loss  0.859632, Average Loss  0.871198, Time  0.244591
2021-09-11 04:38:29.354106 : Epoch  7, Batch    411, Loss  0.550116, Average Loss  0.550160, Time  0.235055
2021-09-11 04:38:30.001800 : Epoch  3, Batch   2763, Loss  0.867520, Average Loss  0.869611, Time  0.178704
2021-09-11 04:38:30.914834 : Epoch  7, Batch    412, Loss  0.542445, Average Loss  0.550145, Time  0.237289
2021-09-11 04:38:31.637850 : Epoch  3, Batch   2764, Loss  0.865848, Average Loss  0.869515, Time  0.173197
2021-09-11 04:38:31.739942 : Epoch  2, Batch    331, Loss  0.868687, Average Loss  0.871212, Time  0.242430
2021-09-11 04:38:32.493006 : Epoch  7, Batch    413, Loss  0.556932, Average Loss  0.550129, Time  0.238271
2021-09-11 04:38:33.266039 : Epoch  3, Batch   2765, Loss  0.865459, Average Loss  0.869419, Time  0.169689
2021-09-11 04:38:34.050526 : Epoch  7, Batch    414, Loss  0.540878, Average Loss  0.549993, Time  0.237878
2021-09-11 04:38:34.429328 : Epoch  2, Batch    332, Loss  0.858957, Average Loss  0.871131, Time  0.244345
2021-09-11 04:38:34.893032 : Epoch  3, Batch   2766, Loss  0.880247, Average Loss  0.869525, Time  0.172136
2021-09-11 04:38:35.596058 : Epoch  7, Batch    415, Loss  0.557204, Average Loss  0.549986, Time  0.232569
2021-09-11 04:38:36.520830 : Epoch  3, Batch   2767, Loss  0.859721, Average Loss  0.869415, Time  0.172138
2021-09-11 04:38:37.261365 : Epoch  2, Batch    333, Loss  0.869231, Average Loss  0.871188, Time  0.452812
2021-09-11 04:38:37.261510 : Epoch  7, Batch    416, Loss  0.557873, Average Loss  0.550006, Time  0.360048
2021-09-11 04:38:38.153031 : Epoch  3, Batch   2768, Loss  0.870090, Average Loss  0.869461, Time  0.172386
2021-09-11 04:38:38.880518 : Epoch  7, Batch    417, Loss  0.551431, Average Loss  0.550004, Time  0.236298
2021-09-11 04:38:39.801757 : Epoch  3, Batch   2769, Loss  0.880130, Average Loss  0.869419, Time  0.174158
2021-09-11 04:38:39.924470 : Epoch  2, Batch    334, Loss  0.847167, Average Loss  0.871031, Time  0.260823
2021-09-11 04:38:40.475764 : Epoch  7, Batch    418, Loss  0.544619, Average Loss  0.549918, Time  0.235094
2021-09-11 04:38:41.427825 : Epoch  3, Batch   2770, Loss  0.878589, Average Loss  0.869417, Time  0.169986
2021-09-11 04:38:42.048621 : Epoch  7, Batch    419, Loss  0.549079, Average Loss  0.549888, Time  0.236766
2021-09-11 04:38:42.641167 : Epoch  2, Batch    335, Loss  0.866146, Average Loss  0.871027, Time  0.263115
2021-09-11 04:38:43.051842 : Epoch  3, Batch   2771, Loss  0.868753, Average Loss  0.869433, Time  0.180302
2021-09-11 04:38:43.697193 : Epoch  7, Batch    420, Loss  0.550214, Average Loss  0.549877, Time  0.234414
2021-09-11 04:38:44.674047 : Epoch  3, Batch   2772, Loss  0.882249, Average Loss  0.869554, Time  0.173580
2021-09-11 04:38:45.472968 : Epoch  7, Batch    421, Loss  0.528387, Average Loss  0.549773, Time  0.440945
2021-09-11 04:38:45.524129 : Epoch  2, Batch    336, Loss  0.871063, Average Loss  0.871108, Time  0.409911
2021-09-11 04:38:46.301770 : Epoch  3, Batch   2773, Loss  0.851643, Average Loss  0.869494, Time  0.171882
2021-09-11 04:38:47.027080 : Epoch  7, Batch    422, Loss  0.554432, Average Loss  0.549882, Time  0.236343
2021-09-11 04:38:47.932792 : Epoch  3, Batch   2774, Loss  0.867567, Average Loss  0.869442, Time  0.171954
2021-09-11 04:38:48.267167 : Epoch  2, Batch    337, Loss  0.903875, Average Loss  0.871277, Time  0.266893
2021-09-11 04:38:48.593524 : Epoch  7, Batch    423, Loss  0.540443, Average Loss  0.549774, Time  0.236123
2021-09-11 04:38:49.558041 : Epoch  3, Batch   2775, Loss  0.901949, Average Loss  0.869627, Time  0.175985
2021-09-11 04:38:50.140473 : Epoch  7, Batch    424, Loss  0.535284, Average Loss  0.549760, Time  0.235914
2021-09-11 04:38:50.963952 : Epoch  2, Batch    338, Loss  0.852788, Average Loss  0.871129, Time  0.246873
2021-09-11 04:38:51.177735 : Epoch  3, Batch   2776, Loss  0.892038, Average Loss  0.869788, Time  0.175881
2021-09-11 04:38:51.683537 : Epoch  7, Batch    425, Loss  0.546493, Average Loss  0.549819, Time  0.235676
2021-09-11 04:38:52.820794 : Epoch  3, Batch   2777, Loss  0.857422, Average Loss  0.869692, Time  0.175278
2021-09-11 04:38:53.262517 : Epoch  7, Batch    426, Loss  0.542648, Average Loss  0.549773, Time  0.236569
2021-09-11 04:38:53.615039 : Epoch  2, Batch    339, Loss  0.867673, Average Loss  0.871090, Time  0.242169
2021-09-11 04:38:54.462877 : Epoch  3, Batch   2778, Loss  0.842333, Average Loss  0.869548, Time  0.179848
2021-09-11 04:38:54.817976 : Epoch  7, Batch    427, Loss  0.552518, Average Loss  0.549877, Time  0.234443
2021-09-11 04:38:56.435957 : Epoch  2, Batch    340, Loss  0.874769, Average Loss  0.871126, Time  0.404838
2021-09-11 04:38:56.488179 : Epoch  7, Batch    428, Loss  0.554782, Average Loss  0.549912, Time  0.338141
2021-09-11 04:38:58.137132 : Epoch  7, Batch    429, Loss  0.554475, Average Loss  0.549921, Time  0.242026
2021-09-11 04:38:59.074094 : Epoch  2, Batch    341, Loss  0.851820, Average Loss  0.871060, Time  0.247129
2021-09-11 04:38:59.697469 : Epoch  7, Batch    430, Loss  0.559076, Average Loss  0.549942, Time  0.236746
2021-09-11 04:39:01.244862 : Epoch  7, Batch    431, Loss  0.550953, Average Loss  0.549859, Time  0.235977
2021-09-11 04:39:01.700490 : Epoch  2, Batch    342, Loss  0.861966, Average Loss  0.871073, Time  0.245223
2021-09-11 04:39:02.797468 : Epoch  7, Batch    432, Loss  0.552775, Average Loss  0.549819, Time  0.237052
2021-09-11 04:39:04.521939 : Epoch  7, Batch    433, Loss  0.551269, Average Loss  0.549775, Time  0.384358
2021-09-11 04:39:04.568371 : Epoch  2, Batch    343, Loss  0.884908, Average Loss  0.871181, Time  0.455610
2021-09-11 04:39:06.088882 : Epoch  7, Batch    434, Loss  0.532781, Average Loss  0.549680, Time  0.237283
2021-09-11 04:39:07.232231 : Epoch  2, Batch    344, Loss  0.868902, Average Loss  0.871159, Time  0.240948
2021-09-11 04:39:07.645827 : Epoch  7, Batch    435, Loss  0.545632, Average Loss  0.549690, Time  0.236849
2021-09-11 04:39:09.185054 : Epoch  7, Batch    436, Loss  0.534528, Average Loss  0.549631, Time  0.236500
2021-09-11 04:39:10.750996 : Epoch  7, Batch    437, Loss  0.547027, Average Loss  0.549618, Time  0.236548
2021-09-11 04:39:12.317256 : Epoch  7, Batch    438, Loss  0.534185, Average Loss  0.549481, Time  0.233710
2021-09-11 04:39:13.876868 : Epoch  7, Batch    439, Loss  0.546975, Average Loss  0.549469, Time  0.242653
2021-09-11 04:39:15.440385 : Epoch  7, Batch    440, Loss  0.554407, Average Loss  0.549499, Time  0.236436
2021-09-11 04:39:17.011628 : Epoch  7, Batch    441, Loss  0.547272, Average Loss  0.549458, Time  0.237905
2021-09-11 04:39:18.589258 : Epoch  7, Batch    442, Loss  0.541821, Average Loss  0.549389, Time  0.242621
2021-09-11 04:39:20.175032 : Epoch  7, Batch    443, Loss  0.547343, Average Loss  0.549325, Time  0.238267
2021-09-11 04:39:21.774937 : Epoch  7, Batch    444, Loss  0.539887, Average Loss  0.549295, Time  0.237652
2021-09-11 04:39:23.355079 : Epoch  7, Batch    445, Loss  0.552456, Average Loss  0.549330, Time  0.234460
2021-09-11 04:39:24.899102 : Epoch  7, Batch    446, Loss  0.553375, Average Loss  0.549300, Time  0.232980
2021-09-11 04:39:26.453108 : Epoch  7, Batch    447, Loss  0.545524, Average Loss  0.549248, Time  0.236904
2021-09-11 04:39:27.995105 : Epoch  7, Batch    448, Loss  0.544155, Average Loss  0.549180, Time  0.233765
2021-09-11 04:39:32.821759 : Epoch  7, Batch    449, Loss  0.533695, Average Loss  0.549063, Time  0.255590
2021-09-11 04:39:34.388732 : Epoch  7, Batch    450, Loss  0.553648, Average Loss  0.549083, Time  0.238796
2021-09-11 04:39:35.987233 : Epoch  7, Batch    451, Loss  0.536794, Average Loss  0.548965, Time  0.236128
2021-09-11 04:39:37.693965 : Epoch  7, Batch    452, Loss  0.553355, Average Loss  0.548943, Time  0.253664
2021-09-11 04:39:39.390835 : Epoch  7, Batch    453, Loss  0.549436, Average Loss  0.548995, Time  0.252592
2021-09-11 04:39:41.098910 : Epoch  7, Batch    454, Loss  0.546965, Average Loss  0.548986, Time  0.253550
2021-09-11 04:39:42.807589 : Epoch  7, Batch    455, Loss  0.552571, Average Loss  0.548999, Time  0.253527
2021-09-11 04:39:44.359147 : Epoch  7, Batch    456, Loss  0.549420, Average Loss  0.548968, Time  0.236066
2021-09-11 04:39:45.908827 : Epoch  7, Batch    457, Loss  0.554333, Average Loss  0.548977, Time  0.237296
2021-09-11 04:39:47.587677 : Epoch  7, Batch    458, Loss  0.562577, Average Loss  0.548984, Time  0.247511
2021-09-11 04:39:49.393216 : Epoch  7, Batch    459, Loss  0.538649, Average Loss  0.548950, Time  0.334963
2021-09-11 04:39:50.956460 : Epoch  7, Batch    460, Loss  0.548011, Average Loss  0.548913, Time  0.252685
2021-09-11 04:39:52.641002 : Epoch  7, Batch    461, Loss  0.548826, Average Loss  0.548980, Time  0.252247
2021-09-11 04:39:54.323346 : Epoch  7, Batch    462, Loss  0.545347, Average Loss  0.548998, Time  0.312550
2021-09-11 04:39:55.887842 : Epoch  7, Batch    463, Loss  0.550483, Average Loss  0.549089, Time  0.233421
2021-09-11 04:39:57.491332 : Epoch  7, Batch    464, Loss  0.546774, Average Loss  0.549020, Time  0.234703
2021-09-11 04:39:59.160808 : Epoch  7, Batch    465, Loss  0.553362, Average Loss  0.549064, Time  0.319271
2021-09-11 04:40:00.771598 : Epoch  7, Batch    466, Loss  0.541811, Average Loss  0.549039, Time  0.238661
2021-09-11 04:40:02.397762 : Epoch  7, Batch    467, Loss  0.555999, Average Loss  0.549055, Time  0.239440
2021-09-11 04:40:04.072747 : Epoch  7, Batch    468, Loss  0.545747, Average Loss  0.549049, Time  0.315100
2021-09-11 04:40:05.720733 : Epoch  7, Batch    469, Loss  0.539309, Average Loss  0.548981, Time  0.238656
2021-09-11 04:40:07.311506 : Epoch  7, Batch    470, Loss  0.538792, Average Loss  0.548938, Time  0.237891
2021-09-11 04:40:08.986997 : Epoch  7, Batch    471, Loss  0.544121, Average Loss  0.548907, Time  0.289393
2021-09-11 04:40:10.549824 : Epoch  7, Batch    472, Loss  0.548330, Average Loss  0.548944, Time  0.234748
2021-09-11 04:40:12.093027 : Epoch  7, Batch    473, Loss  0.527979, Average Loss  0.548895, Time  0.234490
2021-09-11 04:40:13.878765 : Epoch  7, Batch    474, Loss  0.546916, Average Loss  0.548886, Time  0.307047
2021-09-11 04:40:15.445509 : Epoch  7, Batch    475, Loss  0.558098, Average Loss  0.548908, Time  0.235663
2021-09-11 04:40:17.016940 : Epoch  7, Batch    476, Loss  0.553493, Average Loss  0.548940, Time  0.236689
2021-09-11 04:40:18.745138 : Epoch  7, Batch    477, Loss  0.550452, Average Loss  0.548953, Time  0.375072
2021-09-11 04:40:20.305236 : Epoch  7, Batch    478, Loss  0.551072, Average Loss  0.548923, Time  0.232449
2021-09-11 04:41:18.584850 : CheckPoint: Validation Loss  0.00022936, Best Loss  0.00021921
2021-09-11 04:41:20.134314 : Epoch  7, Batch    479, Loss  0.544193, Average Loss  0.548865, Time  0.236510
2021-09-11 04:41:21.697380 : Epoch  7, Batch    480, Loss  0.546629, Average Loss  0.548864, Time  0.235006
2021-09-11 04:41:23.243939 : Epoch  7, Batch    481, Loss  0.539516, Average Loss  0.548810, Time  0.235576
2021-09-11 04:41:24.787454 : Epoch  7, Batch    482, Loss  0.548185, Average Loss  0.548746, Time  0.235340
2021-09-11 04:41:26.317479 : Epoch  7, Batch    483, Loss  0.544433, Average Loss  0.548700, Time  0.236100
2021-09-11 04:41:27.847454 : Epoch  7, Batch    484, Loss  0.546572, Average Loss  0.548640, Time  0.233258
2021-09-11 04:41:29.459921 : Epoch  7, Batch    485, Loss  0.565833, Average Loss  0.548653, Time  0.234740
2021-09-11 04:41:31.063541 : Epoch  7, Batch    486, Loss  0.539258, Average Loss  0.548626, Time  0.241534
2021-09-11 04:41:32.666872 : Epoch  7, Batch    487, Loss  0.547521, Average Loss  0.548642, Time  0.237720
2021-09-11 04:41:34.221017 : Epoch  7, Batch    488, Loss  0.557598, Average Loss  0.548621, Time  0.236207
2021-09-11 04:41:35.824464 : Epoch  7, Batch    489, Loss  0.552017, Average Loss  0.548622, Time  0.313263
2021-09-11 04:41:37.345474 : Epoch  7, Batch    490, Loss  0.549001, Average Loss  0.548608, Time  0.232521
2021-09-11 04:41:38.882988 : Epoch  7, Batch    491, Loss  0.553951, Average Loss  0.548604, Time  0.235281
2021-09-11 04:41:40.427634 : Epoch  7, Batch    492, Loss  0.561659, Average Loss  0.548621, Time  0.236936
2021-09-11 04:41:41.978305 : Epoch  7, Batch    493, Loss  0.549387, Average Loss  0.548716, Time  0.232096
2021-09-11 04:41:43.504736 : Epoch  7, Batch    494, Loss  0.559612, Average Loss  0.548756, Time  0.232977
2021-09-11 04:41:45.041178 : Epoch  7, Batch    495, Loss  0.545250, Average Loss  0.548706, Time  0.235501
2021-09-11 04:41:46.574473 : Epoch  7, Batch    496, Loss  0.556310, Average Loss  0.548716, Time  0.233388
2021-09-11 04:41:48.115211 : Epoch  7, Batch    497, Loss  0.554136, Average Loss  0.548765, Time  0.237939
2021-09-11 04:41:49.680059 : Epoch  7, Batch    498, Loss  0.538288, Average Loss  0.548668, Time  0.235269
2021-09-11 04:41:51.241021 : Epoch  7, Batch    499, Loss  0.550519, Average Loss  0.548629, Time  0.234696
2021-09-11 04:41:52.842990 : Epoch  7, Batch    500, Loss  0.564024, Average Loss  0.548697, Time  0.314645
2021-09-11 04:41:54.390041 : Epoch  7, Batch    501, Loss  0.565090, Average Loss  0.548787, Time  0.235044
2021-09-11 04:41:55.920453 : Epoch  7, Batch    502, Loss  0.543398, Average Loss  0.548730, Time  0.235209
2021-09-11 04:41:57.450224 : Epoch  7, Batch    503, Loss  0.562805, Average Loss  0.548755, Time  0.233746
2021-09-11 04:41:59.250086 : Epoch  7, Batch    504, Loss  0.538013, Average Loss  0.548736, Time  0.235427
2021-09-11 04:42:00.777835 : Epoch  7, Batch    505, Loss  0.553026, Average Loss  0.548747, Time  0.234519
2021-09-11 04:42:02.433477 : Epoch  7, Batch    506, Loss  0.548910, Average Loss  0.548741, Time  0.316937
2021-09-11 04:42:03.993470 : Epoch  7, Batch    507, Loss  0.553067, Average Loss  0.548800, Time  0.236076
2021-09-11 04:42:05.532504 : Epoch  7, Batch    508, Loss  0.540496, Average Loss  0.548737, Time  0.235647
2021-09-11 04:42:07.066044 : Epoch  7, Batch    509, Loss  0.554052, Average Loss  0.548769, Time  0.237331
2021-09-11 04:42:08.627215 : Epoch  7, Batch    510, Loss  0.542947, Average Loss  0.548738, Time  0.237246
2021-09-11 04:42:10.159881 : Epoch  7, Batch    511, Loss  0.537633, Average Loss  0.548649, Time  0.233199
2021-09-11 04:42:11.704441 : Epoch  7, Batch    512, Loss  0.535113, Average Loss  0.548552, Time  0.235782
2021-09-11 04:42:13.228878 : Epoch  7, Batch    513, Loss  0.552193, Average Loss  0.548588, Time  0.235582
2021-09-11 04:42:14.747447 : Epoch  7, Batch    514, Loss  0.558135, Average Loss  0.548637, Time  0.234338
2021-09-11 04:42:16.263462 : Epoch  7, Batch    515, Loss  0.535203, Average Loss  0.548552, Time  0.233270
2021-09-11 04:42:16.464493 : Epoch  7, Batch    516, Loss  0.587107, Average Loss  0.548720, Time  0.140835
2021-09-11 04:42:17.997119 : Epoch  7, Batch    517, Loss  0.549393, Average Loss  0.548743, Time  0.237008
2021-09-11 04:42:19.544286 : Epoch  7, Batch    518, Loss  0.548667, Average Loss  0.548789, Time  0.235931
2021-09-11 04:42:21.080453 : Epoch  7, Batch    519, Loss  0.566681, Average Loss  0.548815, Time  0.232597
2021-09-11 04:42:22.609490 : Epoch  7, Batch    520, Loss  0.549096, Average Loss  0.548766, Time  0.235292
2021-09-11 04:42:24.223049 : Epoch  7, Batch    521, Loss  0.546358, Average Loss  0.548722, Time  0.313615
2021-09-11 04:42:25.745224 : Epoch  7, Batch    522, Loss  0.539113, Average Loss  0.548666, Time  0.234919
2021-09-11 04:42:27.283070 : Epoch  7, Batch    523, Loss  0.557976, Average Loss  0.548700, Time  0.235300
2021-09-11 04:42:28.814930 : Epoch  7, Batch    524, Loss  0.563975, Average Loss  0.548805, Time  0.234582
2021-09-11 04:42:30.353956 : Epoch  7, Batch    525, Loss  0.560947, Average Loss  0.548813, Time  0.235254
2021-09-11 04:42:31.886114 : Epoch  7, Batch    526, Loss  0.545446, Average Loss  0.548857, Time  0.235193
2021-09-11 04:42:33.417969 : Epoch  7, Batch    527, Loss  0.558388, Average Loss  0.548936, Time  0.234988
2021-09-11 04:42:34.942086 : Epoch  7, Batch    528, Loss  0.557454, Average Loss  0.548888, Time  0.233227
2021-09-11 04:42:36.493108 : Epoch  7, Batch    529, Loss  0.543242, Average Loss  0.548808, Time  0.232441
2021-09-11 04:42:38.028718 : Epoch  7, Batch    530, Loss  0.534034, Average Loss  0.548667, Time  0.234804
2021-09-11 04:42:39.585542 : Epoch  7, Batch    531, Loss  0.547688, Average Loss  0.548721, Time  0.236672
2021-09-11 04:42:41.224494 : Epoch  7, Batch    532, Loss  0.548906, Average Loss  0.548783, Time  0.319043
2021-09-11 04:42:42.770199 : Epoch  7, Batch    533, Loss  0.554983, Average Loss  0.548780, Time  0.236403
2021-09-11 04:42:44.314482 : Epoch  7, Batch    534, Loss  0.540442, Average Loss  0.548652, Time  0.234369
2021-09-11 04:42:45.834086 : Epoch  7, Batch    535, Loss  0.549582, Average Loss  0.548647, Time  0.235146
2021-09-11 04:42:47.359027 : Epoch  7, Batch    536, Loss  0.539111, Average Loss  0.548680, Time  0.233047
2021-09-11 04:42:48.890912 : Epoch  7, Batch    537, Loss  0.538299, Average Loss  0.548694, Time  0.236522
2021-09-11 04:42:50.439526 : Epoch  7, Batch    538, Loss  0.546981, Average Loss  0.548628, Time  0.233792
2021-09-11 04:42:51.975927 : Epoch  7, Batch    539, Loss  0.552726, Average Loss  0.548614, Time  0.236596
2021-09-11 04:42:53.523985 : Epoch  7, Batch    540, Loss  0.553719, Average Loss  0.548555, Time  0.238115
2021-09-11 04:42:55.047887 : Epoch  7, Batch    541, Loss  0.562373, Average Loss  0.548587, Time  0.232701
2021-09-11 04:42:56.580950 : Epoch  7, Batch    542, Loss  0.547859, Average Loss  0.548550, Time  0.243578
2021-09-11 04:42:58.182003 : Epoch  7, Batch    543, Loss  0.549102, Average Loss  0.548559, Time  0.282285
2021-09-11 04:42:59.726541 : Epoch  7, Batch    544, Loss  0.537630, Average Loss  0.548531, Time  0.236935
2021-09-11 04:43:01.264055 : Epoch  7, Batch    545, Loss  0.561987, Average Loss  0.548647, Time  0.233540
2021-09-11 04:43:02.883025 : Epoch  7, Batch    546, Loss  0.560610, Average Loss  0.548682, Time  0.314211
2021-09-11 04:43:04.428953 : Epoch  7, Batch    547, Loss  0.546005, Average Loss  0.548799, Time  0.235735
2021-09-11 04:43:05.984996 : Epoch  7, Batch    548, Loss  0.558937, Average Loss  0.548854, Time  0.234278
2021-09-11 04:43:07.526891 : Epoch  7, Batch    549, Loss  0.543457, Average Loss  0.548766, Time  0.233436
2021-09-11 04:43:11.675517 : Epoch  7, Batch    550, Loss  0.543094, Average Loss  0.548777, Time  0.232535
2021-09-11 04:43:13.203174 : Epoch  7, Batch    551, Loss  0.556395, Average Loss  0.548796, Time  0.238327
2021-09-11 04:43:14.028793 : CheckPoint: Validation Loss  0.00030187, Best Loss  0.00029547
2021-09-11 04:43:14.723469 : Epoch  7, Batch    552, Loss  0.553404, Average Loss  0.548826, Time  0.235170
2021-09-11 04:43:16.286876 : Epoch  7, Batch    553, Loss  0.539411, Average Loss  0.548804, Time  0.230972
2021-09-11 04:43:16.705244 : Epoch  2, Batch    345, Loss  0.871079, Average Loss  0.871247, Time  0.260606
2021-09-11 04:43:17.816844 : Epoch  7, Batch    554, Loss  0.554418, Average Loss  0.548882, Time  0.233370
2021-09-11 04:43:19.555875 : Epoch  2, Batch    346, Loss  0.865138, Average Loss  0.871211, Time  0.454015
2021-09-11 04:43:19.611603 : Epoch  7, Batch    555, Loss  0.551784, Average Loss  0.548968, Time  0.437032
2021-09-11 04:43:21.154533 : Epoch  7, Batch    556, Loss  0.549543, Average Loss  0.548940, Time  0.235832
2021-09-11 04:43:22.201067 : Epoch  2, Batch    347, Loss  0.852824, Average Loss  0.871042, Time  0.240019
2021-09-11 04:43:22.692886 : Epoch  7, Batch    557, Loss  0.540726, Average Loss  0.548959, Time  0.235775
2021-09-11 04:43:24.232146 : Epoch  7, Batch    558, Loss  0.543826, Average Loss  0.548950, Time  0.233478
2021-09-11 04:43:24.827831 : Epoch  2, Batch    348, Loss  0.860411, Average Loss  0.870991, Time  0.239274
2021-09-11 04:43:25.771020 : Epoch  7, Batch    559, Loss  0.546029, Average Loss  0.548934, Time  0.236539
2021-09-11 04:43:27.445167 : Epoch  7, Batch    560, Loss  0.567781, Average Loss  0.549091, Time  0.368125
2021-09-11 04:43:27.530996 : Epoch  2, Batch    349, Loss  0.866295, Average Loss  0.871064, Time  0.316820
2021-09-11 04:43:28.989068 : Epoch  7, Batch    561, Loss  0.551436, Average Loss  0.549118, Time  0.232859
2021-09-11 04:43:30.184875 : Epoch  2, Batch    350, Loss  0.883354, Average Loss  0.871058, Time  0.241090
2021-09-11 04:43:30.543850 : Epoch  7, Batch    562, Loss  0.546268, Average Loss  0.549096, Time  0.238110
2021-09-11 04:43:32.088948 : Epoch  7, Batch    563, Loss  0.562344, Average Loss  0.549196, Time  0.235906
2021-09-11 04:43:32.822029 : Epoch  2, Batch    351, Loss  0.847286, Average Loss  0.870868, Time  0.242414
2021-09-11 04:43:33.672475 : Epoch  7, Batch    564, Loss  0.548139, Average Loss  0.549161, Time  0.237855
2021-09-11 04:43:35.205184 : Epoch  7, Batch    565, Loss  0.562401, Average Loss  0.549233, Time  0.235265
2021-09-11 04:43:35.515931 : Epoch  2, Batch    352, Loss  0.858042, Average Loss  0.870835, Time  0.243010
2021-09-11 04:43:35.627718 : CheckPoint: Validation Loss  0.00062326, Best Loss  0.00057296
2021-09-11 04:43:36.773490 : Epoch  7, Batch    566, Loss  0.556348, Average Loss  0.549211, Time  0.235044
2021-09-11 04:43:37.293954 : Epoch  3, Batch   2779, Loss  0.875428, Average Loss  0.869542, Time  0.177308
2021-09-11 04:43:38.220018 : Epoch  2, Batch    353, Loss  0.865707, Average Loss  0.870840, Time  0.299091
2021-09-11 04:43:38.376036 : Epoch  7, Batch    567, Loss  0.558848, Average Loss  0.549294, Time  0.252414
2021-09-11 04:43:38.906013 : Epoch  3, Batch   2780, Loss  0.851589, Average Loss  0.869348, Time  0.170276
2021-09-11 04:43:39.937934 : Epoch  7, Batch    568, Loss  0.562499, Average Loss  0.549364, Time  0.235744
2021-09-11 04:43:40.551006 : Epoch  3, Batch   2781, Loss  0.908250, Average Loss  0.869478, Time  0.182088
2021-09-11 04:43:40.854859 : Epoch  2, Batch    354, Loss  0.866839, Average Loss  0.870759, Time  0.241796
2021-09-11 04:43:41.489516 : Epoch  7, Batch    569, Loss  0.540555, Average Loss  0.549378, Time  0.233277
2021-09-11 04:43:42.175020 : Epoch  3, Batch   2782, Loss  0.856680, Average Loss  0.869326, Time  0.171087
2021-09-11 04:43:43.033033 : Epoch  7, Batch    570, Loss  0.557517, Average Loss  0.549444, Time  0.236274
2021-09-11 04:43:43.502926 : Epoch  2, Batch    355, Loss  0.856913, Average Loss  0.870733, Time  0.249473
2021-09-11 04:43:43.814016 : Epoch  3, Batch   2783, Loss  0.882000, Average Loss  0.869532, Time  0.171166
2021-09-11 04:43:44.605601 : Epoch  7, Batch    571, Loss  0.558366, Average Loss  0.549515, Time  0.235687
2021-09-11 04:43:45.426045 : Epoch  3, Batch   2784, Loss  0.892647, Average Loss  0.869663, Time  0.175585
2021-09-11 04:43:46.357500 : Epoch  2, Batch    356, Loss  0.865497, Average Loss  0.870718, Time  0.451574
2021-09-11 04:43:46.407552 : Epoch  7, Batch    572, Loss  0.556554, Average Loss  0.549525, Time  0.443717
2021-09-11 04:43:47.040754 : Epoch  3, Batch   2785, Loss  0.847847, Average Loss  0.869480, Time  0.170290
2021-09-11 04:43:48.072876 : Epoch  7, Batch    573, Loss  0.546433, Average Loss  0.549515, Time  0.235002
2021-09-11 04:43:48.666872 : Epoch  3, Batch   2786, Loss  0.830719, Average Loss  0.869403, Time  0.173937
2021-09-11 04:43:49.042478 : Epoch  2, Batch    357, Loss  0.854785, Average Loss  0.870547, Time  0.240733
2021-09-11 04:43:49.608015 : Epoch  7, Batch    574, Loss  0.535834, Average Loss  0.549393, Time  0.232104
2021-09-11 04:43:50.294024 : Epoch  3, Batch   2787, Loss  0.885250, Average Loss  0.869496, Time  0.170410
2021-09-11 04:43:51.161055 : Epoch  7, Batch    575, Loss  0.535119, Average Loss  0.549312, Time  0.233921
2021-09-11 04:43:51.713397 : Epoch  2, Batch    358, Loss  0.859536, Average Loss  0.870435, Time  0.243669
2021-09-11 04:43:51.914028 : Epoch  3, Batch   2788, Loss  0.844264, Average Loss  0.869328, Time  0.176227
2021-09-11 04:43:52.731194 : Epoch  7, Batch    576, Loss  0.548802, Average Loss  0.549304, Time  0.241465
2021-09-11 04:43:53.570796 : Epoch  3, Batch   2789, Loss  0.869398, Average Loss  0.869262, Time  0.173683
2021-09-11 04:43:54.460835 : Epoch  7, Batch    577, Loss  0.549031, Average Loss  0.549304, Time  0.398880
2021-09-11 04:43:54.517040 : Epoch  2, Batch    359, Loss  0.883634, Average Loss  0.870505, Time  0.339365
2021-09-11 04:43:55.219754 : Epoch  3, Batch   2790, Loss  0.875540, Average Loss  0.869128, Time  0.174546
2021-09-11 04:43:56.036934 : Epoch  7, Batch    578, Loss  0.546956, Average Loss  0.549355, Time  0.244397
2021-09-11 04:43:56.850886 : Epoch  3, Batch   2791, Loss  0.876061, Average Loss  0.869048, Time  0.173722
2021-09-11 04:43:57.191112 : Epoch  2, Batch    360, Loss  0.866512, Average Loss  0.870424, Time  0.242477
2021-09-11 04:43:58.468921 : Epoch  3, Batch   2792, Loss  0.873902, Average Loss  0.869041, Time  0.172495
2021-09-11 04:43:59.984173 : Epoch  2, Batch    361, Loss  0.879102, Average Loss  0.870490, Time  0.325327
2021-09-11 04:44:00.094779 : Epoch  3, Batch   2793, Loss  0.893141, Average Loss  0.869168, Time  0.173997
2021-09-11 04:44:01.752035 : Epoch  3, Batch   2794, Loss  0.857739, Average Loss  0.869109, Time  0.178131
2021-09-11 04:44:02.804699 : Epoch  2, Batch    362, Loss  0.861929, Average Loss  0.870404, Time  0.271724
2021-09-11 04:44:03.380177 : Epoch  3, Batch   2795, Loss  0.888754, Average Loss  0.869202, Time  0.176161
2021-09-11 04:44:04.990816 : Epoch  3, Batch   2796, Loss  0.876091, Average Loss  0.869392, Time  0.170542
2021-09-11 04:44:05.505849 : Epoch  2, Batch    363, Loss  0.857044, Average Loss  0.870242, Time  0.257160
2021-09-11 04:44:06.627046 : Epoch  3, Batch   2797, Loss  0.871968, Average Loss  0.869399, Time  0.177843
2021-09-11 04:44:08.183179 : Epoch  2, Batch    364, Loss  0.871885, Average Loss  0.870203, Time  0.258865
2021-09-11 04:44:08.265028 : Epoch  3, Batch   2798, Loss  0.873768, Average Loss  0.869390, Time  0.172718
2021-09-11 04:44:09.920763 : Epoch  3, Batch   2799, Loss  0.872767, Average Loss  0.869333, Time  0.170515
2021-09-11 04:44:10.851144 : Epoch  2, Batch    365, Loss  0.871986, Average Loss  0.870293, Time  0.248119
2021-09-11 04:44:11.541818 : Epoch  3, Batch   2800, Loss  0.849949, Average Loss  0.869183, Time  0.170283
2021-09-11 04:44:13.161026 : Epoch  3, Batch   2801, Loss  0.869946, Average Loss  0.869058, Time  0.173752
2021-09-11 04:44:13.499122 : Epoch  2, Batch    366, Loss  0.886483, Average Loss  0.870274, Time  0.242045
2021-09-11 04:44:14.784029 : Epoch  3, Batch   2802, Loss  0.863083, Average Loss  0.869009, Time  0.180727
2021-09-11 04:44:16.155454 : Epoch  2, Batch    367, Loss  0.859040, Average Loss  0.870270, Time  0.243457
2021-09-11 04:44:16.397023 : Epoch  3, Batch   2803, Loss  0.872247, Average Loss  0.868891, Time  0.176522
2021-09-11 04:44:18.024805 : Epoch  3, Batch   2804, Loss  0.896015, Average Loss  0.868856, Time  0.176901
2021-09-11 04:44:18.809445 : Epoch  2, Batch    368, Loss  0.869149, Average Loss  0.870276, Time  0.243761
2021-09-11 04:44:19.636852 : Epoch  3, Batch   2805, Loss  0.905477, Average Loss  0.869193, Time  0.170105
2021-09-11 04:44:21.266745 : Epoch  3, Batch   2806, Loss  0.865046, Average Loss  0.869317, Time  0.170134
2021-09-11 04:44:21.432338 : Epoch  2, Batch    369, Loss  0.870354, Average Loss  0.870254, Time  0.239872
2021-09-11 04:44:22.875042 : Epoch  3, Batch   2807, Loss  0.861627, Average Loss  0.869320, Time  0.172251
2021-09-11 04:44:24.090543 : Epoch  2, Batch    370, Loss  0.869736, Average Loss  0.870272, Time  0.260242
2021-09-11 04:44:24.494072 : Epoch  3, Batch   2808, Loss  0.856996, Average Loss  0.869237, Time  0.182435
2021-09-11 04:44:26.128041 : Epoch  3, Batch   2809, Loss  0.895831, Average Loss  0.869534, Time  0.169912
2021-09-11 04:44:26.742861 : Epoch  2, Batch    371, Loss  0.870805, Average Loss  0.870327, Time  0.240602
2021-09-11 04:44:27.732868 : Epoch  3, Batch   2810, Loss  0.903648, Average Loss  0.869743, Time  0.174510
2021-09-11 04:44:29.358741 : Epoch  3, Batch   2811, Loss  0.871206, Average Loss  0.869833, Time  0.179113
2021-09-11 04:44:29.394817 : Epoch  2, Batch    372, Loss  0.869507, Average Loss  0.870279, Time  0.240446
2021-09-11 04:44:30.990043 : Epoch  3, Batch   2812, Loss  0.882175, Average Loss  0.869761, Time  0.183369
2021-09-11 04:44:32.101376 : Epoch  2, Batch    373, Loss  0.867657, Average Loss  0.870326, Time  0.268429
2021-09-11 04:44:32.612845 : Epoch  3, Batch   2813, Loss  0.890994, Average Loss  0.869978, Time  0.176999
2021-09-11 04:44:34.259030 : Epoch  3, Batch   2814, Loss  0.857217, Average Loss  0.869954, Time  0.169977
2021-09-11 04:44:34.814472 : Epoch  2, Batch    374, Loss  0.880071, Average Loss  0.870317, Time  0.261447
2021-09-11 04:44:35.907094 : Epoch  3, Batch   2815, Loss  0.863419, Average Loss  0.869837, Time  0.172810
2021-09-11 04:44:37.512233 : Epoch  3, Batch   2816, Loss  0.864126, Average Loss  0.869712, Time  0.181208
2021-09-11 04:44:37.531363 : Epoch  2, Batch    375, Loss  0.888348, Average Loss  0.870434, Time  0.258508
2021-09-11 04:44:39.123747 : Epoch  3, Batch   2817, Loss  0.886056, Average Loss  0.869915, Time  0.172861
2021-09-11 04:44:40.225869 : Epoch  2, Batch    376, Loss  0.850589, Average Loss  0.870321, Time  0.240797
2021-09-11 04:44:40.804801 : Epoch  3, Batch   2818, Loss  0.879377, Average Loss  0.869965, Time  0.170147
2021-09-11 04:44:42.428743 : Epoch  3, Batch   2819, Loss  0.883198, Average Loss  0.869923, Time  0.175725
2021-09-11 04:44:42.903505 : Epoch  2, Batch    377, Loss  0.867990, Average Loss  0.870168, Time  0.241912
2021-09-11 04:44:44.070765 : Epoch  3, Batch   2820, Loss  0.854439, Average Loss  0.869850, Time  0.175866
2021-09-11 04:44:45.558041 : Epoch  2, Batch    378, Loss  0.880422, Average Loss  0.870255, Time  0.244880
2021-09-11 04:44:45.700769 : Epoch  3, Batch   2821, Loss  0.892975, Average Loss  0.870036, Time  0.178536
2021-09-11 04:44:47.324789 : Epoch  3, Batch   2822, Loss  0.870382, Average Loss  0.870154, Time  0.172091
2021-09-11 04:44:48.285041 : Epoch  2, Batch    379, Loss  0.871443, Average Loss  0.870231, Time  0.263263
2021-09-11 04:44:48.951033 : Epoch  3, Batch   2823, Loss  0.885497, Average Loss  0.870041, Time  0.177394
2021-09-11 04:44:50.581750 : Epoch  3, Batch   2824, Loss  0.838778, Average Loss  0.870008, Time  0.174012
2021-09-11 04:44:51.020146 : Epoch  2, Batch    380, Loss  0.867825, Average Loss  0.870334, Time  0.261610
2021-09-11 04:44:52.213033 : Epoch  3, Batch   2825, Loss  0.850516, Average Loss  0.869843, Time  0.178453
2021-09-11 04:44:53.068483 : CheckPoint: Validation Loss  0.00022195, Best Loss  0.00021921
2021-09-11 04:44:53.647017 : Epoch  2, Batch    381, Loss  0.871248, Average Loss  0.870364, Time  0.243166
2021-09-11 04:44:53.847026 : Epoch  3, Batch   2826, Loss  0.909517, Average Loss  0.869924, Time  0.175261
2021-09-11 04:44:54.600148 : Epoch  7, Batch    579, Loss  0.540559, Average Loss  0.549256, Time  0.232709
2021-09-11 04:44:55.484022 : Epoch  3, Batch   2827, Loss  0.874723, Average Loss  0.869894, Time  0.177510
2021-09-11 04:44:56.214870 : Epoch  7, Batch    580, Loss  0.554707, Average Loss  0.549268, Time  0.323000
2021-09-11 04:44:56.343912 : Epoch  2, Batch    382, Loss  0.858541, Average Loss  0.870267, Time  0.281615
2021-09-11 04:44:57.090811 : Epoch  3, Batch   2828, Loss  0.876413, Average Loss  0.869929, Time  0.174130
2021-09-11 04:44:57.749084 : Epoch  7, Batch    581, Loss  0.562805, Average Loss  0.549389, Time  0.236717
2021-09-11 04:44:58.718737 : Epoch  3, Batch   2829, Loss  0.878511, Average Loss  0.870053, Time  0.178252
2021-09-11 04:44:58.997085 : Epoch  2, Batch    383, Loss  0.907688, Average Loss  0.870532, Time  0.265945
2021-09-11 04:44:59.272441 : Epoch  7, Batch    582, Loss  0.552547, Average Loss  0.549363, Time  0.231741
2021-09-11 04:45:00.324739 : Epoch  3, Batch   2830, Loss  0.849827, Average Loss  0.870021, Time  0.173878
2021-09-11 04:45:00.819139 : Epoch  7, Batch    583, Loss  0.556021, Average Loss  0.549371, Time  0.232603
2021-09-11 04:45:01.626485 : Epoch  2, Batch    384, Loss  0.858528, Average Loss  0.870418, Time  0.240275
2021-09-11 04:45:01.926026 : Epoch  3, Batch   2831, Loss  0.850602, Average Loss  0.870010, Time  0.171811
2021-09-11 04:45:02.386185 : Epoch  7, Batch    584, Loss  0.552527, Average Loss  0.549370, Time  0.235389
2021-09-11 04:45:03.563854 : Epoch  3, Batch   2832, Loss  0.850208, Average Loss  0.869957, Time  0.176209
2021-09-11 04:45:03.949999 : Epoch  7, Batch    585, Loss  0.547253, Average Loss  0.549334, Time  0.260496
2021-09-11 04:45:04.282663 : Epoch  2, Batch    385, Loss  0.883339, Average Loss  0.870509, Time  0.245923
2021-09-11 04:45:05.194029 : Epoch  3, Batch   2833, Loss  0.903688, Average Loss  0.870177, Time  0.173402
2021-09-11 04:45:05.503879 : Epoch  7, Batch    586, Loss  0.546578, Average Loss  0.549297, Time  0.235426
2021-09-11 04:45:06.820868 : Epoch  3, Batch   2834, Loss  0.869937, Average Loss  0.870278, Time  0.174116
2021-09-11 04:45:07.213118 : Epoch  2, Batch    386, Loss  0.863478, Average Loss  0.870499, Time  0.450667
2021-09-11 04:45:07.256485 : Epoch  7, Batch    587, Loss  0.549970, Average Loss  0.549269, Time  0.405846
2021-09-11 04:45:08.459038 : Epoch  3, Batch   2835, Loss  0.878414, Average Loss  0.870192, Time  0.171259
2021-09-11 04:45:08.842729 : Epoch  7, Batch    588, Loss  0.544541, Average Loss  0.549286, Time  0.254595
2021-09-11 04:45:09.946168 : Epoch  2, Batch    387, Loss  0.885811, Average Loss  0.870588, Time  0.243638
2021-09-11 04:45:10.089734 : Epoch  3, Batch   2836, Loss  0.855850, Average Loss  0.870146, Time  0.180434
2021-09-11 04:45:10.571067 : Epoch  7, Batch    589, Loss  0.550104, Average Loss  0.549251, Time  0.254877
2021-09-11 04:45:11.698022 : Epoch  3, Batch   2837, Loss  0.868771, Average Loss  0.870165, Time  0.169964
2021-09-11 04:45:12.151563 : Epoch  7, Batch    590, Loss  0.556578, Average Loss  0.549293, Time  0.237379
2021-09-11 04:45:12.642916 : Epoch  2, Batch    388, Loss  0.878233, Average Loss  0.870685, Time  0.241657
2021-09-11 04:45:13.361778 : Epoch  3, Batch   2838, Loss  0.884587, Average Loss  0.870270, Time  0.191589
2021-09-11 04:45:13.705953 : Epoch  7, Batch    591, Loss  0.544148, Average Loss  0.549238, Time  0.235823
2021-09-11 04:45:14.995785 : Epoch  3, Batch   2839, Loss  0.887565, Average Loss  0.870354, Time  0.180047
2021-09-11 04:45:15.409018 : Epoch  7, Batch    592, Loss  0.551698, Average Loss  0.549267, Time  0.403129
2021-09-11 04:45:15.465279 : Epoch  2, Batch    389, Loss  0.889505, Average Loss  0.870838, Time  0.343518
2021-09-11 04:45:16.595057 : Epoch  3, Batch   2840, Loss  0.854495, Average Loss  0.870449, Time  0.169563
2021-09-11 04:45:16.952489 : Epoch  7, Batch    593, Loss  0.555241, Average Loss  0.549324, Time  0.237445
2021-09-11 04:45:18.102431 : Epoch  2, Batch    390, Loss  0.871790, Average Loss  0.870821, Time  0.240533
2021-09-11 04:45:18.227034 : Epoch  3, Batch   2841, Loss  0.856237, Average Loss  0.870299, Time  0.172491
2021-09-11 04:45:18.498149 : Epoch  7, Batch    594, Loss  0.538386, Average Loss  0.549210, Time  0.236637
2021-09-11 04:45:19.846030 : Epoch  3, Batch   2842, Loss  0.848382, Average Loss  0.870167, Time  0.170699
2021-09-11 04:45:20.041156 : Epoch  7, Batch    595, Loss  0.547452, Average Loss  0.549191, Time  0.235074
2021-09-11 04:45:20.764010 : Epoch  2, Batch    391, Loss  0.849632, Average Loss  0.870775, Time  0.247334
2021-09-11 04:45:21.480021 : Epoch  3, Batch   2843, Loss  0.871222, Average Loss  0.870153, Time  0.177883
2021-09-11 04:45:21.589510 : Epoch  7, Batch    596, Loss  0.557712, Average Loss  0.549236, Time  0.235996
2021-09-11 04:45:23.109798 : Epoch  3, Batch   2844, Loss  0.875111, Average Loss  0.870104, Time  0.170192
2021-09-11 04:45:23.139489 : Epoch  7, Batch    597, Loss  0.549031, Average Loss  0.549186, Time  0.235192
2021-09-11 04:45:23.484835 : Epoch  2, Batch    392, Loss  0.845903, Average Loss  0.870716, Time  0.278121
2021-09-11 04:45:24.705106 : Epoch  7, Batch    598, Loss  0.548290, Average Loss  0.549219, Time  0.237284
2021-09-11 04:45:24.770027 : Epoch  3, Batch   2845, Loss  0.867656, Average Loss  0.870121, Time  0.175236
2021-09-11 04:45:26.283165 : Epoch  2, Batch    393, Loss  0.863563, Average Loss  0.870664, Time  0.396758
2021-09-11 04:45:26.347587 : Epoch  7, Batch    599, Loss  0.563689, Average Loss  0.549302, Time  0.334997
2021-09-11 04:45:26.412046 : Epoch  3, Batch   2846, Loss  0.874142, Average Loss  0.870244, Time  0.173267
2021-09-11 04:45:27.875194 : Epoch  7, Batch    600, Loss  0.552000, Average Loss  0.549342, Time  0.234935
2021-09-11 04:45:28.036871 : Epoch  3, Batch   2847, Loss  0.876740, Average Loss  0.870157, Time  0.173458
2021-09-11 04:45:28.937017 : Epoch  2, Batch    394, Loss  0.889750, Average Loss  0.870685, Time  0.248587
2021-09-11 04:45:29.418134 : Epoch  7, Batch    601, Loss  0.553739, Average Loss  0.549384, Time  0.232182
2021-09-11 04:45:29.659065 : Epoch  3, Batch   2848, Loss  0.849390, Average Loss  0.870004, Time  0.171586
2021-09-11 04:45:30.946890 : Epoch  7, Batch    602, Loss  0.552755, Average Loss  0.549394, Time  0.234997
2021-09-11 04:45:31.267033 : Epoch  3, Batch   2849, Loss  0.876275, Average Loss  0.870171, Time  0.170218
2021-09-11 04:45:31.604642 : Epoch  2, Batch    395, Loss  0.867378, Average Loss  0.870570, Time  0.260417
2021-09-11 04:45:32.512540 : Epoch  7, Batch    603, Loss  0.550500, Average Loss  0.549422, Time  0.233377
2021-09-11 04:45:32.881837 : Epoch  3, Batch   2850, Loss  0.859114, Average Loss  0.870331, Time  0.178356
2021-09-11 04:45:34.050198 : Epoch  7, Batch    604, Loss  0.545664, Average Loss  0.549421, Time  0.234985
2021-09-11 04:45:34.350540 : Epoch  2, Batch    396, Loss  0.856785, Average Loss  0.870603, Time  0.265508
2021-09-11 04:45:34.523741 : Epoch  3, Batch   2851, Loss  0.847115, Average Loss  0.870343, Time  0.172177
2021-09-11 04:45:35.623059 : Epoch  7, Batch    605, Loss  0.546853, Average Loss  0.549422, Time  0.236841
2021-09-11 04:45:36.164830 : Epoch  3, Batch   2852, Loss  0.871459, Average Loss  0.870509, Time  0.172495
2021-09-11 04:45:37.237657 : Epoch  2, Batch    397, Loss  0.874963, Average Loss  0.870694, Time  0.414069
2021-09-11 04:45:37.281957 : Epoch  7, Batch    606, Loss  0.549021, Average Loss  0.549449, Time  0.345149
2021-09-11 04:45:37.805825 : Epoch  3, Batch   2853, Loss  0.851086, Average Loss  0.870353, Time  0.170013
2021-09-11 04:45:39.019338 : Epoch  7, Batch    607, Loss  0.530352, Average Loss  0.549351, Time  0.236233
2021-09-11 04:45:39.409840 : Epoch  3, Batch   2854, Loss  0.904832, Average Loss  0.870531, Time  0.175219
2021-09-11 04:45:40.122769 : Epoch  2, Batch    398, Loss  0.871584, Average Loss  0.870724, Time  0.241090
2021-09-11 04:45:40.568497 : Epoch  7, Batch    608, Loss  0.548425, Average Loss  0.549369, Time  0.233926
2021-09-11 04:45:41.057749 : Epoch  3, Batch   2855, Loss  0.864770, Average Loss  0.870530, Time  0.195217
2021-09-11 04:45:42.103090 : Epoch  7, Batch    609, Loss  0.553454, Average Loss  0.549378, Time  0.232724
2021-09-11 04:45:42.688954 : Epoch  3, Batch   2856, Loss  0.851392, Average Loss  0.870360, Time  0.173311
2021-09-11 04:45:42.810006 : Epoch  2, Batch    399, Loss  0.887009, Average Loss  0.870901, Time  0.241830
2021-09-11 04:45:43.651491 : Epoch  7, Batch    610, Loss  0.547976, Average Loss  0.549354, Time  0.235173
2021-09-11 04:45:44.311778 : Epoch  3, Batch   2857, Loss  0.847538, Average Loss  0.870120, Time  0.170064
2021-09-11 04:45:45.257559 : Epoch  7, Batch    611, Loss  0.553341, Average Loss  0.549370, Time  0.264316
2021-09-11 04:45:45.511067 : Epoch  2, Batch    400, Loss  0.874710, Average Loss  0.870970, Time  0.245065
2021-09-11 04:45:45.964039 : Epoch  3, Batch   2858, Loss  0.882625, Average Loss  0.870181, Time  0.184231
2021-09-11 04:45:46.815088 : Epoch  7, Batch    612, Loss  0.543715, Average Loss  0.549376, Time  0.235474
2021-09-11 04:45:47.593022 : Epoch  3, Batch   2859, Loss  0.849327, Average Loss  0.870223, Time  0.174481
2021-09-11 04:45:48.277448 : Epoch  2, Batch    401, Loss  0.875327, Average Loss  0.870997, Time  0.324156
2021-09-11 04:45:48.409991 : Epoch  7, Batch    613, Loss  0.538933, Average Loss  0.549286, Time  0.277327
2021-09-11 04:45:49.205773 : Epoch  3, Batch   2860, Loss  0.868755, Average Loss  0.870236, Time  0.179393
2021-09-11 04:45:49.954136 : Epoch  7, Batch    614, Loss  0.552278, Average Loss  0.549343, Time  0.233583
2021-09-11 04:45:50.855792 : Epoch  3, Batch   2861, Loss  0.891361, Average Loss  0.870420, Time  0.176728
2021-09-11 04:45:50.930430 : Epoch  2, Batch    402, Loss  0.850883, Average Loss  0.870919, Time  0.239370
2021-09-11 04:45:51.538863 : Epoch  7, Batch    615, Loss  0.550737, Average Loss  0.549311, Time  0.236004
2021-09-11 04:45:52.507037 : Epoch  3, Batch   2862, Loss  0.854548, Average Loss  0.870366, Time  0.169832
2021-09-11 04:45:53.193591 : Epoch  7, Batch    616, Loss  0.540649, Average Loss  0.549225, Time  0.307148
2021-09-11 04:45:53.667878 : Epoch  2, Batch    403, Loss  0.855880, Average Loss  0.870775, Time  0.244359
2021-09-11 04:45:54.129845 : Epoch  3, Batch   2863, Loss  0.884707, Average Loss  0.870506, Time  0.181556
2021-09-11 04:45:54.733130 : Epoch  7, Batch    617, Loss  0.553773, Average Loss  0.549236, Time  0.232874
2021-09-11 04:45:55.757036 : Epoch  3, Batch   2864, Loss  0.864357, Average Loss  0.870590, Time  0.170055
2021-09-11 04:45:56.482895 : Epoch  7, Batch    618, Loss  0.533681, Average Loss  0.549182, Time  0.449496
2021-09-11 04:45:56.535849 : Epoch  2, Batch    404, Loss  0.890161, Average Loss  0.870910, Time  0.426668
2021-09-11 04:45:57.376924 : Epoch  3, Batch   2865, Loss  0.871528, Average Loss  0.870729, Time  0.170257
2021-09-11 04:45:58.019920 : Epoch  7, Batch    619, Loss  0.542141, Average Loss  0.549147, Time  0.235820
2021-09-11 04:45:58.976746 : Epoch  3, Batch   2866, Loss  0.845620, Average Loss  0.870675, Time  0.179020
2021-09-11 04:45:59.191801 : Epoch  2, Batch    405, Loss  0.867379, Average Loss  0.870949, Time  0.248322
2021-09-11 04:45:59.585491 : Epoch  7, Batch    620, Loss  0.540160, Average Loss  0.549097, Time  0.235587
2021-09-11 04:46:00.597023 : Epoch  3, Batch   2867, Loss  0.872963, Average Loss  0.870757, Time  0.169972
2021-09-11 04:46:01.138018 : Epoch  7, Batch    621, Loss  0.554566, Average Loss  0.549228, Time  0.235129
2021-09-11 04:46:01.852061 : Epoch  2, Batch    406, Loss  0.886672, Average Loss  0.870967, Time  0.251802
2021-09-11 04:46:02.212773 : Epoch  3, Batch   2868, Loss  0.832408, Average Loss  0.870734, Time  0.169978
2021-09-11 04:46:02.701549 : Epoch  7, Batch    622, Loss  0.542837, Average Loss  0.549170, Time  0.236196
2021-09-11 04:46:03.823015 : Epoch  3, Batch   2869, Loss  0.898351, Average Loss  0.870831, Time  0.169635
2021-09-11 04:46:04.251479 : Epoch  7, Batch    623, Loss  0.545246, Average Loss  0.549194, Time  0.232291
2021-09-11 04:46:04.547914 : Epoch  2, Batch    407, Loss  0.870867, Average Loss  0.870904, Time  0.262768
2021-09-11 04:46:05.449805 : Epoch  3, Batch   2870, Loss  0.854059, Average Loss  0.870706, Time  0.177282
2021-09-11 04:46:05.784749 : Epoch  7, Batch    624, Loss  0.552471, Average Loss  0.549280, Time  0.234261
2021-09-11 04:46:07.070029 : Epoch  3, Batch   2871, Loss  0.902379, Average Loss  0.870908, Time  0.173389
2021-09-11 04:46:07.508146 : Epoch  7, Batch    625, Loss  0.543424, Average Loss  0.549264, Time  0.407252
2021-09-11 04:46:07.559601 : Epoch  2, Batch    408, Loss  0.871149, Average Loss  0.870967, Time  0.469494
2021-09-11 04:46:08.683037 : Epoch  3, Batch   2872, Loss  0.847952, Average Loss  0.870826, Time  0.176758
2021-09-11 04:46:09.076551 : Epoch  7, Batch    626, Loss  0.548341, Average Loss  0.549293, Time  0.235033
2021-09-11 04:46:10.262855 : Epoch  2, Batch    409, Loss  0.858895, Average Loss  0.870885, Time  0.260207
2021-09-11 04:46:10.300027 : Epoch  3, Batch   2873, Loss  0.888423, Average Loss  0.870939, Time  0.170066
2021-09-11 04:46:10.653334 : Epoch  7, Batch    627, Loss  0.551043, Average Loss  0.549285, Time  0.238715
2021-09-11 04:46:11.924791 : Epoch  3, Batch   2874, Loss  0.847614, Average Loss  0.870838, Time  0.170591
2021-09-11 04:46:12.197528 : Epoch  7, Batch    628, Loss  0.541146, Average Loss  0.549217, Time  0.234805
2021-09-11 04:46:12.936826 : Epoch  2, Batch    410, Loss  0.856237, Average Loss  0.870881, Time  0.242193
2021-09-11 04:46:13.560028 : Epoch  3, Batch   2875, Loss  0.859195, Average Loss  0.871053, Time  0.171670
2021-09-11 04:46:13.729492 : Epoch  7, Batch    629, Loss  0.558829, Average Loss  0.549239, Time  0.235358
2021-09-11 04:46:15.182832 : Epoch  3, Batch   2876, Loss  0.877204, Average Loss  0.871151, Time  0.172163
2021-09-11 04:46:15.249874 : Epoch  7, Batch    630, Loss  0.550480, Average Loss  0.549196, Time  0.234150
2021-09-11 04:46:15.584088 : Epoch  2, Batch    411, Loss  0.872326, Average Loss  0.870873, Time  0.244719
2021-09-11 04:46:16.767484 : Epoch  7, Batch    631, Loss  0.546106, Average Loss  0.549172, Time  0.234509
2021-09-11 04:46:16.788775 : Epoch  3, Batch   2877, Loss  0.874852, Average Loss  0.871095, Time  0.172569
2021-09-11 04:46:18.433029 : Epoch  3, Batch   2878, Loss  0.831922, Average Loss  0.870851, Time  0.180085
2021-09-11 04:46:18.472497 : Epoch  7, Batch    632, Loss  0.541786, Average Loss  0.549117, Time  0.375099
2021-09-11 04:46:20.050467 : Epoch  7, Batch    633, Loss  0.549201, Average Loss  0.549107, Time  0.234722
2021-09-11 04:46:21.157046 : Epoch  2, Batch    413, Loss  0.882375, Average Loss  0.870947, Time  0.261148
2021-09-11 04:46:21.603470 : Epoch  7, Batch    634, Loss  0.534278, Average Loss  0.549114, Time  0.235493
2021-09-11 04:46:23.148611 : Epoch  7, Batch    635, Loss  0.555468, Average Loss  0.549163, Time  0.233926
2021-09-11 04:46:23.825482 : Epoch  2, Batch    414, Loss  0.873747, Average Loss  0.871062, Time  0.242963
2021-09-11 04:46:24.694977 : Epoch  7, Batch    636, Loss  0.547404, Average Loss  0.549228, Time  0.235875
2021-09-11 04:46:26.230094 : Epoch  7, Batch    637, Loss  0.567388, Average Loss  0.549329, Time  0.234885
2021-09-11 04:46:26.504490 : Epoch  2, Batch    415, Loss  0.881083, Average Loss  0.871091, Time  0.242127
2021-09-11 04:46:27.780492 : Epoch  7, Batch    638, Loss  0.550936, Average Loss  0.549413, Time  0.234839
2021-09-11 04:46:29.297790 : Epoch  2, Batch    416, Loss  0.887669, Average Loss  0.871168, Time  0.368228
2021-09-11 04:46:29.384847 : Epoch  7, Batch    639, Loss  0.553769, Average Loss  0.549447, Time  0.300714
2021-09-11 04:46:30.947838 : Epoch  7, Batch    640, Loss  0.549682, Average Loss  0.549423, Time  0.244895
2021-09-11 04:46:32.000309 : Epoch  2, Batch    417, Loss  0.860859, Average Loss  0.871058, Time  0.242933
2021-09-11 04:46:32.514482 : Epoch  7, Batch    641, Loss  0.558866, Average Loss  0.549481, Time  0.237067
2021-09-11 04:46:34.067402 : Epoch  7, Batch    642, Loss  0.549874, Average Loss  0.549522, Time  0.230887
2021-09-11 04:46:34.688892 : Epoch  2, Batch    418, Loss  0.860656, Average Loss  0.871071, Time  0.244095
2021-09-11 04:46:35.611556 : Epoch  7, Batch    643, Loss  0.553929, Average Loss  0.549555, Time  0.234873
2021-09-11 04:46:37.210956 : Epoch  7, Batch    644, Loss  0.544767, Average Loss  0.549579, Time  0.303180
2021-09-11 04:46:37.359297 : Epoch  2, Batch    419, Loss  0.868683, Average Loss  0.870997, Time  0.254594
2021-09-11 04:46:38.751084 : Epoch  7, Batch    645, Loss  0.554052, Average Loss  0.549587, Time  0.236045
2021-09-11 04:46:40.038516 : Epoch  2, Batch    420, Loss  0.878751, Average Loss  0.871114, Time  0.241517
2021-09-11 04:46:40.297467 : Epoch  7, Batch    646, Loss  0.545124, Average Loss  0.549546, Time  0.232849
2021-09-11 04:46:41.839116 : Epoch  7, Batch    647, Loss  0.549322, Average Loss  0.549565, Time  0.234721
2021-09-11 04:46:42.695896 : Epoch  2, Batch    421, Loss  0.893721, Average Loss  0.871151, Time  0.245872
2021-09-11 04:46:43.370449 : Epoch  7, Batch    648, Loss  0.557218, Average Loss  0.549630, Time  0.234281
2021-09-11 04:46:45.412105 : Epoch  2, Batch    422, Loss  0.884107, Average Loss  0.871255, Time  0.245192
2021-09-11 04:46:47.339495 : Epoch  7, Batch    649, Loss  0.552454, Average Loss  0.549724, Time  0.233393
2021-09-11 04:46:48.092408 : Epoch  2, Batch    423, Loss  0.857622, Average Loss  0.871259, Time  0.250468
2021-09-11 04:46:48.892061 : Epoch  7, Batch    650, Loss  0.553432, Average Loss  0.549723, Time  0.235235
2021-09-11 04:46:50.424116 : Epoch  7, Batch    651, Loss  0.552539, Average Loss  0.549801, Time  0.234386
2021-09-11 04:46:50.715897 : Epoch  2, Batch    424, Loss  0.867493, Average Loss  0.871231, Time  0.242617
2021-09-11 04:46:51.953451 : Epoch  7, Batch    652, Loss  0.546375, Average Loss  0.549767, Time  0.234887
2021-09-11 04:46:53.529137 : Epoch  2, Batch    425, Loss  0.871843, Average Loss  0.871258, Time  0.400283
2021-09-11 04:46:53.589512 : Epoch  7, Batch    653, Loss  0.548305, Average Loss  0.549761, Time  0.333359
2021-09-11 04:46:55.135537 : Epoch  7, Batch    654, Loss  0.550086, Average Loss  0.549777, Time  0.235506
2021-09-11 04:46:56.239847 : Epoch  2, Batch    426, Loss  0.859032, Average Loss  0.871141, Time  0.242238
2021-09-11 04:46:56.664497 : Epoch  7, Batch    655, Loss  0.536774, Average Loss  0.549698, Time  0.234879
2021-09-11 04:46:58.193053 : Epoch  7, Batch    656, Loss  0.531812, Average Loss  0.549610, Time  0.234403
2021-09-11 04:46:58.891979 : Epoch  2, Batch    427, Loss  0.858752, Average Loss  0.871179, Time  0.242801
2021-09-11 04:46:59.710481 : Epoch  7, Batch    657, Loss  0.557778, Average Loss  0.549627, Time  0.234841
2021-09-11 04:47:01.240897 : Epoch  7, Batch    658, Loss  0.566038, Average Loss  0.549644, Time  0.234399
2021-09-11 04:47:01.536090 : Epoch  2, Batch    428, Loss  0.882765, Average Loss  0.871203, Time  0.242845
2021-09-11 04:47:02.764872 : Epoch  7, Batch    659, Loss  0.538567, Average Loss  0.549644, Time  0.232725
2021-09-11 04:47:04.334142 : Epoch  2, Batch    429, Loss  0.860472, Average Loss  0.871185, Time  0.402737
2021-09-11 04:47:04.384453 : Epoch  7, Batch    660, Loss  0.549621, Average Loss  0.549652, Time  0.330525
2021-09-11 04:47:05.920933 : Epoch  7, Batch    661, Loss  0.554828, Average Loss  0.549682, Time  0.233974
2021-09-11 04:47:06.977853 : Epoch  2, Batch    430, Loss  0.878315, Average Loss  0.871172, Time  0.243415
2021-09-11 04:47:07.442471 : Epoch  7, Batch    662, Loss  0.553921, Average Loss  0.549725, Time  0.232332
2021-09-11 04:47:08.974914 : Epoch  7, Batch    663, Loss  0.558566, Average Loss  0.549765, Time  0.235357
2021-09-11 04:47:09.622657 : Epoch  2, Batch    431, Loss  0.860076, Average Loss  0.871157, Time  0.244293
2021-09-11 04:47:10.507452 : Epoch  7, Batch    664, Loss  0.552166, Average Loss  0.549792, Time  0.234009
2021-09-11 04:47:12.120835 : Epoch  7, Batch    665, Loss  0.548793, Average Loss  0.549769, Time  0.295194
2021-09-11 04:47:12.277827 : Epoch  2, Batch    432, Loss  0.842679, Average Loss  0.870962, Time  0.262177
2021-09-11 04:47:13.637237 : Epoch  7, Batch    666, Loss  0.556168, Average Loss  0.549841, Time  0.233449
2021-09-11 04:47:14.923548 : Epoch  2, Batch    433, Loss  0.863809, Average Loss  0.870909, Time  0.245251
2021-09-11 04:47:15.162148 : Epoch  7, Batch    667, Loss  0.538398, Average Loss  0.549753, Time  0.231580
2021-09-11 04:47:16.699508 : Epoch  7, Batch    668, Loss  0.552722, Average Loss  0.549788, Time  0.233845
2021-09-11 04:47:17.676880 : Epoch  2, Batch    434, Loss  0.864457, Average Loss  0.870889, Time  0.263536
2021-09-11 04:47:18.240142 : Epoch  7, Batch    669, Loss  0.560300, Average Loss  0.549893, Time  0.234858
2021-09-11 04:47:19.784561 : Epoch  7, Batch    670, Loss  0.535870, Average Loss  0.549878, Time  0.235519
2021-09-11 04:47:20.405455 : Epoch  2, Batch    435, Loss  0.862209, Average Loss  0.870866, Time  0.266957
2021-09-11 04:47:21.344770 : Epoch  7, Batch    671, Loss  0.554636, Average Loss  0.549931, Time  0.236627
2021-09-11 04:47:22.879460 : Epoch  7, Batch    672, Loss  0.561348, Average Loss  0.549996, Time  0.235323
2021-09-11 04:47:23.134813 : Epoch  2, Batch    436, Loss  0.873498, Average Loss  0.870902, Time  0.241953
2021-09-11 04:47:24.424010 : Epoch  7, Batch    673, Loss  0.564499, Average Loss  0.550178, Time  0.235462
2021-09-11 04:47:25.969129 : Epoch  2, Batch    437, Loss  0.880814, Average Loss  0.871025, Time  0.375772
2021-09-11 04:47:26.048146 : Epoch  7, Batch    674, Loss  0.543275, Average Loss  0.550160, Time  0.306218
2021-09-11 04:47:27.618170 : Epoch  7, Batch    675, Loss  0.548810, Average Loss  0.550114, Time  0.236134
2021-09-11 04:47:28.612195 : Epoch  2, Batch    438, Loss  0.882708, Average Loss  0.871052, Time  0.240569
2021-09-11 04:47:29.146047 : Epoch  7, Batch    676, Loss  0.544027, Average Loss  0.550066, Time  0.233136
2021-09-11 04:47:30.683839 : Epoch  7, Batch    677, Loss  0.550819, Average Loss  0.550068, Time  0.232960
2021-09-11 04:47:31.259936 : Epoch  2, Batch    439, Loss  0.868257, Average Loss  0.870963, Time  0.246336
2021-09-11 04:47:32.226872 : Epoch  7, Batch    678, Loss  0.543198, Average Loss  0.550029, Time  0.235351
2021-09-11 04:47:33.889761 : Epoch  2, Batch    440, Loss  0.853920, Average Loss  0.870897, Time  0.243684
2021-09-11 04:47:36.518878 : Epoch  2, Batch    441, Loss  0.867206, Average Loss  0.870918, Time  0.240927
2021-09-11 04:47:39.189454 : Epoch  2, Batch    442, Loss  0.855255, Average Loss  0.870800, Time  0.242239
2021-09-11 04:47:41.830267 : Epoch  2, Batch    443, Loss  0.869509, Average Loss  0.870721, Time  0.245567
2021-09-11 04:47:44.456941 : Epoch  2, Batch    444, Loss  0.853506, Average Loss  0.870573, Time  0.244942
2021-09-11 04:48:29.183736 : CheckPoint: Validation Loss  0.00022170, Best Loss  0.00021921
2021-09-11 04:48:30.727900 : Epoch  7, Batch    679, Loss  0.549403, Average Loss  0.550055, Time  0.235695
2021-09-11 04:48:32.375051 : Epoch  7, Batch    680, Loss  0.549786, Average Loss  0.550071, Time  0.319111
2021-09-11 04:48:33.926954 : Epoch  7, Batch    681, Loss  0.550867, Average Loss  0.550127, Time  0.233767
2021-09-11 04:48:35.452969 : Epoch  7, Batch    682, Loss  0.539340, Average Loss  0.550083, Time  0.232817
2021-09-11 04:48:36.990993 : Epoch  7, Batch    683, Loss  0.555409, Average Loss  0.550138, Time  0.236928
2021-09-11 04:48:38.539164 : Epoch  7, Batch    684, Loss  0.547974, Average Loss  0.550145, Time  0.235214
2021-09-11 04:48:40.116321 : Epoch  7, Batch    685, Loss  0.545340, Average Loss  0.550043, Time  0.235444
2021-09-11 04:48:41.721619 : Epoch  7, Batch    686, Loss  0.546495, Average Loss  0.550079, Time  0.237376
2021-09-11 04:48:43.331039 : Epoch  7, Batch    687, Loss  0.550021, Average Loss  0.550091, Time  0.236728
2021-09-11 04:48:44.890139 : Epoch  7, Batch    688, Loss  0.541910, Average Loss  0.550013, Time  0.233044
2021-09-11 04:48:46.423445 : Epoch  7, Batch    689, Loss  0.538844, Average Loss  0.549947, Time  0.233074
2021-09-11 04:48:47.973850 : Epoch  7, Batch    690, Loss  0.563759, Average Loss  0.550021, Time  0.236012
2021-09-11 04:48:49.571045 : Epoch  7, Batch    691, Loss  0.560517, Average Loss  0.550054, Time  0.233834
2021-09-11 04:48:51.103087 : Epoch  7, Batch    692, Loss  0.537771, Average Loss  0.549934, Time  0.233510
2021-09-11 04:48:52.643870 : Epoch  7, Batch    693, Loss  0.534913, Average Loss  0.549862, Time  0.235106
2021-09-11 04:48:54.196879 : Epoch  7, Batch    694, Loss  0.548454, Average Loss  0.549806, Time  0.244673
2021-09-11 04:48:55.753295 : Epoch  7, Batch    695, Loss  0.540081, Average Loss  0.549780, Time  0.233626
2021-09-11 04:48:57.286775 : Epoch  7, Batch    696, Loss  0.558837, Average Loss  0.549793, Time  0.235016
2021-09-11 04:48:58.906059 : Epoch  7, Batch    697, Loss  0.542618, Average Loss  0.549735, Time  0.315560
2021-09-11 04:49:00.438850 : Epoch  7, Batch    698, Loss  0.538825, Average Loss  0.549738, Time  0.233509
2021-09-11 04:49:01.974052 : Epoch  7, Batch    699, Loss  0.539784, Average Loss  0.549684, Time  0.232828
2021-09-11 04:49:03.538276 : Epoch  7, Batch    700, Loss  0.541656, Average Loss  0.549572, Time  0.231332
2021-09-11 04:49:05.079365 : Epoch  7, Batch    701, Loss  0.542775, Average Loss  0.549461, Time  0.233741
2021-09-11 04:49:06.629092 : Epoch  7, Batch    702, Loss  0.558175, Average Loss  0.549535, Time  0.233989
2021-09-11 04:49:08.174092 : Epoch  7, Batch    703, Loss  0.541394, Average Loss  0.549428, Time  0.236726
2021-09-11 04:49:09.706063 : Epoch  7, Batch    704, Loss  0.537928, Average Loss  0.549427, Time  0.235100
2021-09-11 04:49:11.233011 : Epoch  7, Batch    705, Loss  0.545391, Average Loss  0.549389, Time  0.236189
2021-09-11 04:49:12.759066 : Epoch  7, Batch    706, Loss  0.566920, Average Loss  0.549479, Time  0.235620
2021-09-11 04:49:14.289498 : Epoch  7, Batch    707, Loss  0.549203, Average Loss  0.549460, Time  0.232743
2021-09-11 04:49:15.825015 : Epoch  7, Batch    708, Loss  0.548143, Average Loss  0.549498, Time  0.232934
2021-09-11 04:49:17.391024 : Epoch  7, Batch    709, Loss  0.548140, Average Loss  0.549468, Time  0.238570
2021-09-11 04:49:18.952405 : Epoch  7, Batch    710, Loss  0.551664, Average Loss  0.549512, Time  0.230923
2021-09-11 04:49:20.576430 : Epoch  7, Batch    711, Loss  0.541955, Average Loss  0.549534, Time  0.311332
2021-09-11 04:49:22.122181 : Epoch  7, Batch    712, Loss  0.545593, Average Loss  0.549586, Time  0.237338
2021-09-11 04:49:23.663309 : Epoch  7, Batch    713, Loss  0.540784, Average Loss  0.549529, Time  0.241696
2021-09-11 04:49:25.307660 : Epoch  7, Batch    714, Loss  0.539388, Average Loss  0.549435, Time  0.314942
2021-09-11 04:49:26.882068 : Epoch  7, Batch    715, Loss  0.539334, Average Loss  0.549456, Time  0.237420
2021-09-11 04:49:28.424474 : Epoch  7, Batch    716, Loss  0.540583, Average Loss  0.549223, Time  0.235948
2021-09-11 04:49:29.967487 : Epoch  7, Batch    717, Loss  0.543943, Average Loss  0.549196, Time  0.234852
2021-09-11 04:49:31.514320 : Epoch  7, Batch    718, Loss  0.542390, Average Loss  0.549165, Time  0.237494
2021-09-11 04:49:33.065915 : Epoch  7, Batch    719, Loss  0.540961, Average Loss  0.549036, Time  0.236420
2021-09-11 04:49:34.616974 : Epoch  7, Batch    720, Loss  0.567656, Average Loss  0.549129, Time  0.237461
2021-09-11 04:49:36.185963 : Epoch  7, Batch    721, Loss  0.539241, Average Loss  0.549093, Time  0.236247
2021-09-11 04:49:37.730559 : Epoch  7, Batch    722, Loss  0.551292, Average Loss  0.549154, Time  0.236412
2021-09-11 04:49:39.279004 : Epoch  7, Batch    723, Loss  0.545959, Average Loss  0.549094, Time  0.233047
2021-09-11 04:49:40.838182 : Epoch  7, Batch    724, Loss  0.531669, Average Loss  0.548933, Time  0.236303
2021-09-11 04:49:42.381122 : Epoch  7, Batch    725, Loss  0.538014, Average Loss  0.548818, Time  0.236104
2021-09-11 04:49:43.917597 : Epoch  7, Batch    726, Loss  0.545318, Average Loss  0.548817, Time  0.235326
2021-09-11 04:49:45.467023 : Epoch  7, Batch    727, Loss  0.545592, Average Loss  0.548753, Time  0.234921
2021-09-11 04:49:47.065351 : Epoch  7, Batch    728, Loss  0.548692, Average Loss  0.548709, Time  0.289538
2021-09-11 04:49:48.607187 : Epoch  7, Batch    729, Loss  0.550167, Average Loss  0.548744, Time  0.235481
2021-09-11 04:49:50.141843 : Epoch  7, Batch    730, Loss  0.547809, Average Loss  0.548813, Time  0.236605
2021-09-11 04:49:51.768709 : Epoch  7, Batch    731, Loss  0.553875, Average Loss  0.548844, Time  0.323909
2021-09-11 04:49:53.337968 : Epoch  7, Batch    732, Loss  0.542377, Average Loss  0.548811, Time  0.234562
2021-09-11 04:49:54.872959 : Epoch  7, Batch    733, Loss  0.549352, Average Loss  0.548783, Time  0.233613
2021-09-11 04:49:56.408552 : Epoch  7, Batch    734, Loss  0.539801, Average Loss  0.548780, Time  0.237736
2021-09-11 04:49:57.969626 : Epoch  7, Batch    735, Loss  0.553803, Average Loss  0.548801, Time  0.253634
2021-09-11 04:49:59.510104 : Epoch  7, Batch    736, Loss  0.557972, Average Loss  0.548895, Time  0.235193
2021-09-11 04:50:01.082935 : Epoch  7, Batch    737, Loss  0.537614, Average Loss  0.548892, Time  0.242190
2021-09-11 04:50:02.630118 : Epoch  7, Batch    738, Loss  0.545555, Average Loss  0.548885, Time  0.234302
2021-09-11 04:50:04.177870 : Epoch  7, Batch    739, Loss  0.556670, Average Loss  0.548905, Time  0.240719
2021-09-11 04:50:05.724049 : Epoch  7, Batch    740, Loss  0.546271, Average Loss  0.548867, Time  0.235060
2021-09-11 04:50:07.299491 : Epoch  7, Batch    741, Loss  0.543775, Average Loss  0.548774, Time  0.235427
2021-09-11 04:50:08.852948 : Epoch  7, Batch    742, Loss  0.553713, Average Loss  0.548804, Time  0.233707
2021-09-11 04:50:10.406313 : Epoch  7, Batch    743, Loss  0.552798, Average Loss  0.548822, Time  0.235705
2021-09-11 04:50:11.944808 : Epoch  7, Batch    744, Loss  0.553045, Average Loss  0.548899, Time  0.235724
2021-09-11 04:50:13.530827 : Epoch  7, Batch    745, Loss  0.540360, Average Loss  0.548791, Time  0.284405
2021-09-11 04:50:15.059922 : Epoch  7, Batch    746, Loss  0.559362, Average Loss  0.548785, Time  0.235386
2021-09-11 04:50:16.597846 : Epoch  7, Batch    747, Loss  0.555511, Average Loss  0.548832, Time  0.237195
2021-09-11 04:50:18.227239 : Epoch  7, Batch    748, Loss  0.553827, Average Loss  0.548807, Time  0.317468
2021-09-11 04:50:22.321100 : Epoch  7, Batch    749, Loss  0.547818, Average Loss  0.548829, Time  0.235597
2021-09-11 04:50:23.873563 : Epoch  7, Batch    750, Loss  0.552351, Average Loss  0.548875, Time  0.232605
2021-09-11 04:50:25.490576 : Epoch  7, Batch    751, Loss  0.542798, Average Loss  0.548807, Time  0.316239
2021-09-11 04:50:27.044915 : Epoch  7, Batch    752, Loss  0.548574, Average Loss  0.548783, Time  0.235157
2021-09-11 04:50:28.595170 : Epoch  7, Batch    753, Loss  0.562970, Average Loss  0.548900, Time  0.234194
2021-09-11 04:50:30.220245 : Epoch  7, Batch    754, Loss  0.554586, Average Loss  0.548901, Time  0.313485
2021-09-11 04:50:31.805685 : Epoch  7, Batch    755, Loss  0.553340, Average Loss  0.548909, Time  0.234063
2021-09-11 04:50:33.353274 : Epoch  7, Batch    756, Loss  0.546275, Average Loss  0.548893, Time  0.235776
2021-09-11 04:50:34.930099 : Epoch  7, Batch    757, Loss  0.556778, Average Loss  0.548973, Time  0.253921
2021-09-11 04:50:36.620729 : Epoch  7, Batch    758, Loss  0.544915, Average Loss  0.548978, Time  0.251328
2021-09-11 04:50:38.311723 : Epoch  7, Batch    759, Loss  0.543854, Average Loss  0.548968, Time  0.250943
2021-09-11 04:50:40.032168 : Epoch  7, Batch    760, Loss  0.563002, Average Loss  0.548944, Time  0.252568
2021-09-11 04:50:41.575731 : Epoch  7, Batch    761, Loss  0.542393, Average Loss  0.548898, Time  0.233828
2021-09-11 04:50:43.131551 : Epoch  7, Batch    762, Loss  0.545197, Average Loss  0.548893, Time  0.234135
2021-09-11 04:50:44.792043 : Epoch  7, Batch    763, Loss  0.555361, Average Loss  0.548858, Time  0.298076
2021-09-11 04:50:46.340516 : Epoch  7, Batch    764, Loss  0.543706, Average Loss  0.548836, Time  0.233385
2021-09-11 04:50:47.878858 : Epoch  7, Batch    765, Loss  0.559405, Average Loss  0.548821, Time  0.234097
2021-09-11 04:50:49.498943 : Epoch  7, Batch    766, Loss  0.571043, Average Loss  0.548895, Time  0.316634
2021-09-11 04:50:51.073738 : Epoch  7, Batch    767, Loss  0.543592, Average Loss  0.548818, Time  0.240018
2021-09-11 04:50:52.631160 : Epoch  7, Batch    768, Loss  0.546178, Average Loss  0.548737, Time  0.237214
2021-09-11 04:50:54.275254 : Epoch  7, Batch    769, Loss  0.550117, Average Loss  0.548784, Time  0.317611
2021-09-11 04:50:55.821922 : Epoch  7, Batch    770, Loss  0.538691, Average Loss  0.548690, Time  0.234258
2021-09-11 04:50:57.352853 : Epoch  7, Batch    771, Loss  0.553992, Average Loss  0.548668, Time  0.234984
2021-09-11 04:50:58.913869 : Epoch  7, Batch    772, Loss  0.536640, Average Loss  0.548569, Time  0.233535
2021-09-11 04:50:59.219034 : CheckPoint: Validation Loss  0.00062903, Best Loss  0.00057296
2021-09-11 04:51:00.466717 : Epoch  7, Batch    773, Loss  0.541836, Average Loss  0.548546, Time  0.239232
2021-09-11 04:51:00.840908 : Epoch  3, Batch   2879, Loss  0.895696, Average Loss  0.870968, Time  0.178965
2021-09-11 04:51:02.020618 : Epoch  7, Batch    774, Loss  0.552488, Average Loss  0.548629, Time  0.234789
2021-09-11 04:51:02.462992 : Epoch  3, Batch   2880, Loss  0.865525, Average Loss  0.870834, Time  0.179947
2021-09-11 04:51:03.571073 : Epoch  7, Batch    775, Loss  0.549246, Average Loss  0.548700, Time  0.234233
2021-09-11 04:51:04.084851 : Epoch  3, Batch   2881, Loss  0.884085, Average Loss  0.870992, Time  0.170333
2021-09-11 04:51:05.106042 : Epoch  7, Batch    776, Loss  0.552290, Average Loss  0.548717, Time  0.234113
2021-09-11 04:51:05.709023 : Epoch  3, Batch   2882, Loss  0.869996, Average Loss  0.870971, Time  0.174861
2021-09-11 04:51:06.670049 : Epoch  7, Batch    777, Loss  0.560922, Average Loss  0.548777, Time  0.255908
2021-09-11 04:51:07.336820 : Epoch  3, Batch   2883, Loss  0.861216, Average Loss  0.871032, Time  0.169934
2021-09-11 04:51:08.237484 : Epoch  7, Batch    778, Loss  0.537121, Average Loss  0.548728, Time  0.234304
2021-09-11 04:51:08.964827 : Epoch  3, Batch   2884, Loss  0.874967, Average Loss  0.871224, Time  0.174301
2021-09-11 04:51:10.594735 : Epoch  3, Batch   2885, Loss  0.841953, Average Loss  0.871290, Time  0.171944
2021-09-11 04:51:12.236881 : Epoch  3, Batch   2886, Loss  0.876388, Average Loss  0.871276, Time  0.180592
2021-09-11 04:51:13.862037 : Epoch  3, Batch   2887, Loss  0.868324, Average Loss  0.871247, Time  0.176662
2021-09-11 04:51:15.484816 : Epoch  3, Batch   2888, Loss  0.853151, Average Loss  0.871132, Time  0.174131
2021-09-11 04:51:17.117822 : Epoch  3, Batch   2889, Loss  0.855015, Average Loss  0.871037, Time  0.170374
2021-09-11 04:51:18.761052 : Epoch  3, Batch   2890, Loss  0.869520, Average Loss  0.871161, Time  0.176666
2021-09-11 04:51:20.387863 : Epoch  3, Batch   2891, Loss  0.849341, Average Loss  0.871134, Time  0.174906
2021-09-11 04:51:22.050742 : Epoch  3, Batch   2892, Loss  0.904487, Average Loss  0.871309, Time  0.185703
2021-09-11 04:51:23.691754 : Epoch  3, Batch   2893, Loss  0.873046, Average Loss  0.871346, Time  0.179018
2021-09-11 04:51:25.297040 : Epoch  3, Batch   2894, Loss  0.846714, Average Loss  0.871237, Time  0.171902
2021-09-11 04:51:26.909031 : Epoch  3, Batch   2895, Loss  0.882082, Average Loss  0.871269, Time  0.174480
2021-09-11 04:51:28.556804 : Epoch  3, Batch   2896, Loss  0.859436, Average Loss  0.871034, Time  0.170038
2021-09-11 04:51:30.185033 : Epoch  3, Batch   2897, Loss  0.884690, Average Loss  0.871061, Time  0.172934
2021-09-11 04:51:31.806034 : Epoch  3, Batch   2898, Loss  0.865008, Average Loss  0.871191, Time  0.170094
2021-09-11 04:51:33.430023 : Epoch  3, Batch   2899, Loss  0.858283, Average Loss  0.871105, Time  0.170671
2021-09-11 04:51:35.069038 : Epoch  3, Batch   2900, Loss  0.873125, Average Loss  0.871093, Time  0.182751
2021-09-11 04:51:36.682037 : Epoch  3, Batch   2901, Loss  0.890811, Average Loss  0.871230, Time  0.169987
2021-09-11 04:51:38.314907 : Epoch  3, Batch   2902, Loss  0.846421, Average Loss  0.871022, Time  0.173761
2021-09-11 04:51:39.946924 : Epoch  3, Batch   2903, Loss  0.838646, Average Loss  0.870786, Time  0.173495
2021-09-11 04:51:41.582797 : Epoch  3, Batch   2904, Loss  0.853966, Average Loss  0.870701, Time  0.173434
2021-09-11 04:51:43.223023 : Epoch  3, Batch   2905, Loss  0.854343, Average Loss  0.870668, Time  0.169581
2021-09-11 04:51:44.845826 : Epoch  3, Batch   2906, Loss  0.873055, Average Loss  0.870678, Time  0.173926
2021-09-11 04:51:46.478023 : Epoch  3, Batch   2907, Loss  0.890235, Average Loss  0.870652, Time  0.170621
2021-09-11 04:51:48.120034 : Epoch  3, Batch   2908, Loss  0.858137, Average Loss  0.870459, Time  0.175707
2021-09-11 04:51:48.594083 : CheckPoint: Validation Loss  0.00030884, Best Loss  0.00029547
2021-09-11 04:51:49.761051 : Epoch  3, Batch   2909, Loss  0.841903, Average Loss  0.870358, Time  0.177674
2021-09-11 04:51:51.244211 : Epoch  2, Batch    445, Loss  0.875992, Average Loss  0.870534, Time  0.260553
2021-09-11 04:51:51.380120 : Epoch  3, Batch   2910, Loss  0.844784, Average Loss  0.870205, Time  0.170305
2021-09-11 04:51:53.009892 : Epoch  3, Batch   2911, Loss  0.884381, Average Loss  0.870242, Time  0.170277
2021-09-11 04:51:53.889069 : Epoch  2, Batch    446, Loss  0.879538, Average Loss  0.870529, Time  0.262281
2021-09-11 04:51:54.659829 : Epoch  3, Batch   2912, Loss  0.852113, Average Loss  0.870287, Time  0.178841
2021-09-11 04:51:56.294944 : Epoch  3, Batch   2913, Loss  0.849698, Average Loss  0.870195, Time  0.177938
2021-09-11 04:51:56.612941 : Epoch  2, Batch    447, Loss  0.873646, Average Loss  0.870413, Time  0.263111
2021-09-11 04:51:57.973766 : Epoch  3, Batch   2914, Loss  0.841895, Average Loss  0.870026, Time  0.194078
2021-09-11 04:51:59.302865 : Epoch  2, Batch    448, Loss  0.874935, Average Loss  0.870424, Time  0.252847
2021-09-11 04:51:59.618042 : Epoch  3, Batch   2915, Loss  0.879875, Average Loss  0.870198, Time  0.182738
2021-09-11 04:52:01.248054 : Epoch  3, Batch   2916, Loss  0.889549, Average Loss  0.870281, Time  0.173571
2021-09-11 04:52:02.005688 : Epoch  2, Batch    449, Loss  0.859983, Average Loss  0.870252, Time  0.247536
2021-09-11 04:52:02.870068 : Epoch  3, Batch   2917, Loss  0.877858, Average Loss  0.870195, Time  0.173140
2021-09-11 04:52:04.508083 : Epoch  3, Batch   2918, Loss  0.876232, Average Loss  0.870254, Time  0.170884
2021-09-11 04:52:04.709835 : Epoch  2, Batch    450, Loss  0.884633, Average Loss  0.870331, Time  0.263815
2021-09-11 04:52:06.134812 : Epoch  3, Batch   2919, Loss  0.858123, Average Loss  0.870224, Time  0.178703
2021-09-11 04:52:07.112758 : CheckPoint: Validation Loss  0.00022308, Best Loss  0.00021921
2021-09-11 04:52:07.426496 : Epoch  2, Batch    451, Loss  0.860587, Average Loss  0.870261, Time  0.262720
2021-09-11 04:52:07.787034 : Epoch  3, Batch   2920, Loss  0.867230, Average Loss  0.870288, Time  0.173031
2021-09-11 04:52:08.703383 : Epoch  7, Batch    779, Loss  0.560434, Average Loss  0.548827, Time  0.248855
2021-09-11 04:52:09.412028 : Epoch  3, Batch   2921, Loss  0.845508, Average Loss  0.870387, Time  0.182236
2021-09-11 04:52:10.403160 : Epoch  7, Batch    780, Loss  0.548041, Average Loss  0.548794, Time  0.380604
2021-09-11 04:52:10.455053 : Epoch  2, Batch    452, Loss  0.882631, Average Loss  0.870296, Time  0.458736
2021-09-11 04:52:11.039036 : Epoch  3, Batch   2922, Loss  0.869908, Average Loss  0.870317, Time  0.170210
2021-09-11 04:52:11.968215 : Epoch  7, Batch    781, Loss  0.549639, Average Loss  0.548728, Time  0.236106
2021-09-11 04:52:12.676779 : Epoch  3, Batch   2923, Loss  0.892546, Average Loss  0.870450, Time  0.170190
2021-09-11 04:52:13.087559 : Epoch  2, Batch    453, Loss  0.871739, Average Loss  0.870222, Time  0.243551
2021-09-11 04:52:13.543973 : Epoch  7, Batch    782, Loss  0.534278, Average Loss  0.548636, Time  0.237810
2021-09-11 04:52:14.341037 : Epoch  3, Batch   2924, Loss  0.866707, Average Loss  0.870381, Time  0.183795
2021-09-11 04:52:15.109461 : Epoch  7, Batch    783, Loss  0.539837, Average Loss  0.548555, Time  0.234256
2021-09-11 04:52:15.713004 : Epoch  2, Batch    454, Loss  0.859794, Average Loss  0.870069, Time  0.243235
2021-09-11 04:52:15.960837 : Epoch  3, Batch   2925, Loss  0.868517, Average Loss  0.870286, Time  0.174168
2021-09-11 04:52:16.698165 : Epoch  7, Batch    784, Loss  0.549737, Average Loss  0.548542, Time  0.263327
2021-09-11 04:52:17.589864 : Epoch  3, Batch   2926, Loss  0.884658, Average Loss  0.870486, Time  0.173599
2021-09-11 04:52:18.447475 : Epoch  7, Batch    785, Loss  0.544809, Average Loss  0.548529, Time  0.429247
2021-09-11 04:52:18.498193 : Epoch  2, Batch    455, Loss  0.887096, Average Loss  0.870173, Time  0.371526
2021-09-11 04:52:19.202049 : Epoch  3, Batch   2927, Loss  0.878212, Average Loss  0.870477, Time  0.170197
2021-09-11 04:52:20.012985 : Epoch  7, Batch    786, Loss  0.557466, Average Loss  0.548584, Time  0.234384
2021-09-11 04:52:20.823757 : Epoch  3, Batch   2928, Loss  0.893312, Average Loss  0.870489, Time  0.176805
2021-09-11 04:52:21.162930 : Epoch  2, Batch    456, Loss  0.859809, Average Loss  0.869996, Time  0.244080
2021-09-11 04:52:21.557252 : Epoch  7, Batch    787, Loss  0.555798, Average Loss  0.548613, Time  0.235289
2021-09-11 04:52:21.615590 : Saving Model after 7-th Epoch.
2021-09-11 04:52:22.445037 : Epoch  3, Batch   2929, Loss  0.838502, Average Loss  0.870224, Time  0.177179
2021-09-11 04:52:22.697630 : Epoch Finished.
2021-09-11 04:52:23.776922 : Epoch  2, Batch    457, Loss  0.889328, Average Loss  0.869991, Time  0.243057
2021-09-11 04:52:24.073775 : Epoch  3, Batch   2930, Loss  0.856963, Average Loss  0.870014, Time  0.175353
2021-09-11 04:52:25.488644 : Batch Shuffled
2021-09-11 04:52:25.702035 : Epoch  3, Batch   2931, Loss  0.865919, Average Loss  0.870008, Time  0.170064
2021-09-11 04:52:26.482960 : Epoch  2, Batch    458, Loss  0.869481, Average Loss  0.869952, Time  0.263247
2021-09-11 04:52:27.022451 : Epoch  8, Batch      1, Loss  0.542134, Average Loss  0.548601, Time  0.235933
2021-09-11 04:52:27.328800 : Epoch  3, Batch   2932, Loss  0.869830, Average Loss  0.870091, Time  0.174312
2021-09-11 04:52:28.552557 : Epoch  8, Batch      2, Loss  0.547298, Average Loss  0.548587, Time  0.233217
2021-09-11 04:52:28.976033 : Epoch  3, Batch   2933, Loss  0.883096, Average Loss  0.869960, Time  0.170539
2021-09-11 04:52:29.194152 : Epoch  2, Batch    459, Loss  0.858813, Average Loss  0.869983, Time  0.260855
2021-09-11 04:52:30.101056 : Epoch  8, Batch      3, Loss  0.558684, Average Loss  0.548597, Time  0.242632
2021-09-11 04:52:30.610826 : Epoch  3, Batch   2934, Loss  0.864350, Average Loss  0.869854, Time  0.171057
2021-09-11 04:52:31.635443 : Epoch  8, Batch      4, Loss  0.555097, Average Loss  0.548652, Time  0.235257
2021-09-11 04:52:31.907918 : Epoch  2, Batch    460, Loss  0.865195, Average Loss  0.869949, Time  0.262555
2021-09-11 04:52:32.230737 : Epoch  3, Batch   2935, Loss  0.891041, Average Loss  0.869948, Time  0.173724
2021-09-11 04:52:33.194055 : Epoch  8, Batch      5, Loss  0.556370, Average Loss  0.548675, Time  0.235456
2021-09-11 04:52:33.857855 : Epoch  3, Batch   2936, Loss  0.849881, Average Loss  0.869858, Time  0.179285
2021-09-11 04:52:34.701820 : Epoch  2, Batch    461, Loss  0.880925, Average Loss  0.869979, Time  0.350400
2021-09-11 04:52:34.804009 : Epoch  8, Batch      6, Loss  0.562621, Average Loss  0.548712, Time  0.276466
2021-09-11 04:52:35.492072 : Epoch  3, Batch   2937, Loss  0.901712, Average Loss  0.869867, Time  0.172348
2021-09-11 04:52:36.349977 : Epoch  8, Batch      7, Loss  0.555151, Average Loss  0.548796, Time  0.232634
2021-09-11 04:52:37.136040 : Epoch  3, Batch   2938, Loss  0.865979, Average Loss  0.869934, Time  0.174849
2021-09-11 04:52:37.406477 : Epoch  2, Batch    462, Loss  0.878097, Average Loss  0.870051, Time  0.241985
2021-09-11 04:52:37.888494 : Epoch  8, Batch      8, Loss  0.543337, Average Loss  0.548776, Time  0.233804
2021-09-11 04:52:38.784865 : Epoch  3, Batch   2939, Loss  0.907738, Average Loss  0.870220, Time  0.173949
2021-09-11 04:52:39.446143 : Epoch  8, Batch      9, Loss  0.541660, Average Loss  0.548695, Time  0.236898
2021-09-11 04:52:40.029854 : Epoch  2, Batch    463, Loss  0.852636, Average Loss  0.869936, Time  0.250098
2021-09-11 04:52:40.397059 : Epoch  3, Batch   2940, Loss  0.866567, Average Loss  0.870246, Time  0.170505
2021-09-11 04:52:41.018512 : Epoch  8, Batch     10, Loss  0.557020, Average Loss  0.548735, Time  0.235808
2021-09-11 04:52:42.043068 : Epoch  3, Batch   2941, Loss  0.836266, Average Loss  0.870227, Time  0.170358
2021-09-11 04:52:42.753527 : Epoch  8, Batch     11, Loss  0.554228, Average Loss  0.548765, Time  0.432968
2021-09-11 04:52:42.803124 : Epoch  2, Batch    464, Loss  0.865894, Average Loss  0.870036, Time  0.374212
2021-09-11 04:52:43.677881 : Epoch  3, Batch   2942, Loss  0.884137, Average Loss  0.870296, Time  0.170694
2021-09-11 04:52:44.350915 : Epoch  8, Batch     12, Loss  0.554096, Average Loss  0.548717, Time  0.272768
2021-09-11 04:52:45.318067 : Epoch  3, Batch   2943, Loss  0.853315, Average Loss  0.870115, Time  0.178337
2021-09-11 04:52:45.490576 : Epoch  2, Batch    465, Loss  0.875202, Average Loss  0.869967, Time  0.240560
2021-09-11 04:52:46.070337 : Epoch  8, Batch     13, Loss  0.542691, Average Loss  0.548670, Time  0.254400
2021-09-11 04:52:46.944888 : Epoch  3, Batch   2944, Loss  0.865448, Average Loss  0.869948, Time  0.170549
2021-09-11 04:52:47.650082 : Epoch  8, Batch     14, Loss  0.545393, Average Loss  0.548629, Time  0.236204
2021-09-11 04:52:48.166356 : Epoch  2, Batch    466, Loss  0.885593, Average Loss  0.870064, Time  0.243644
2021-09-11 04:52:48.598054 : Epoch  3, Batch   2945, Loss  0.879578, Average Loss  0.870077, Time  0.173712
2021-09-11 04:52:49.217474 : Epoch  8, Batch     15, Loss  0.558063, Average Loss  0.548655, Time  0.234864
2021-09-11 04:52:50.213919 : Epoch  3, Batch   2946, Loss  0.860081, Average Loss  0.870029, Time  0.170894
2021-09-11 04:52:51.020605 : Epoch  2, Batch    467, Loss  0.880458, Average Loss  0.870173, Time  0.413374
2021-09-11 04:52:51.021028 : Epoch  8, Batch     16, Loss  0.550492, Average Loss  0.548655, Time  0.457153
2021-09-11 04:52:51.836801 : Epoch  3, Batch   2947, Loss  0.882306, Average Loss  0.870066, Time  0.170235
2021-09-11 04:52:52.637536 : Epoch  8, Batch     17, Loss  0.541907, Average Loss  0.548636, Time  0.239304
2021-09-11 04:52:53.468850 : Epoch  3, Batch   2948, Loss  0.846601, Average Loss  0.869869, Time  0.173143
2021-09-11 04:52:53.714307 : Epoch  2, Batch    468, Loss  0.856118, Average Loss  0.870010, Time  0.242625
2021-09-11 04:52:54.182120 : Epoch  8, Batch     18, Loss  0.547168, Average Loss  0.548638, Time  0.235003
2021-09-11 04:52:55.101042 : Epoch  3, Batch   2949, Loss  0.854278, Average Loss  0.869770, Time  0.175768
2021-09-11 04:52:55.712847 : Epoch  8, Batch     19, Loss  0.546194, Average Loss  0.548624, Time  0.233160
2021-09-11 04:52:56.368652 : Epoch  2, Batch    469, Loss  0.857230, Average Loss  0.869863, Time  0.251704
2021-09-11 04:52:56.756028 : Epoch  3, Batch   2950, Loss  0.835061, Average Loss  0.869452, Time  0.172594
2021-09-11 04:52:57.269207 : Epoch  8, Batch     20, Loss  0.547021, Average Loss  0.548707, Time  0.233751
2021-09-11 04:52:58.376036 : Epoch  3, Batch   2951, Loss  0.872287, Average Loss  0.869341, Time  0.174162
2021-09-11 04:52:58.838536 : Epoch  8, Batch     21, Loss  0.541564, Average Loss  0.548673, Time  0.239104
2021-09-11 04:52:59.043948 : Epoch  2, Batch    470, Loss  0.875376, Average Loss  0.869871, Time  0.248605
2021-09-11 04:53:00.016841 : Epoch  3, Batch   2952, Loss  0.908914, Average Loss  0.869508, Time  0.172103
2021-09-11 04:53:00.412307 : Epoch  8, Batch     22, Loss  0.555944, Average Loss  0.548685, Time  0.233870
2021-09-11 04:53:01.637783 : Epoch  3, Batch   2953, Loss  0.860689, Average Loss  0.869409, Time  0.169889
2021-09-11 04:53:01.720545 : Epoch  2, Batch    471, Loss  0.892073, Average Loss  0.869982, Time  0.244560
2021-09-11 04:53:01.975039 : Epoch  8, Batch     23, Loss  0.556858, Average Loss  0.548730, Time  0.239280
2021-09-11 04:53:03.288034 : Epoch  3, Batch   2954, Loss  0.837651, Average Loss  0.869293, Time  0.169638
2021-09-11 04:53:03.531179 : Epoch  8, Batch     24, Loss  0.540098, Average Loss  0.548664, Time  0.233807
2021-09-11 04:53:04.406177 : Epoch  2, Batch    472, Loss  0.862063, Average Loss  0.869943, Time  0.253300
2021-09-11 04:53:04.914020 : Epoch  3, Batch   2955, Loss  0.895520, Average Loss  0.869417, Time  0.173678
2021-09-11 04:53:05.087283 : Epoch  8, Batch     25, Loss  0.539866, Average Loss  0.548644, Time  0.235904
2021-09-11 04:53:06.570774 : Epoch  3, Batch   2956, Loss  0.835436, Average Loss  0.869156, Time  0.170483
2021-09-11 04:53:06.650891 : Epoch  8, Batch     26, Loss  0.532936, Average Loss  0.548614, Time  0.235783
2021-09-11 04:53:07.131083 : Epoch  2, Batch    473, Loss  0.870998, Average Loss  0.870004, Time  0.264502
2021-09-11 04:53:08.209026 : Epoch  3, Batch   2957, Loss  0.872475, Average Loss  0.869056, Time  0.174119
2021-09-11 04:53:08.219253 : Epoch  8, Batch     27, Loss  0.535446, Average Loss  0.548530, Time  0.236639
2021-09-11 04:53:09.826040 : Epoch  3, Batch   2958, Loss  0.885746, Average Loss  0.869087, Time  0.173485
2021-09-11 04:53:09.972849 : Epoch  8, Batch     28, Loss  0.548209, Average Loss  0.548518, Time  0.410661
2021-09-11 04:53:10.038165 : Epoch  2, Batch    474, Loss  0.862420, Average Loss  0.869998, Time  0.453161
2021-09-11 04:53:11.450025 : Epoch  3, Batch   2959, Loss  0.885740, Average Loss  0.869040, Time  0.169877
2021-09-11 04:53:11.529912 : Epoch  8, Batch     29, Loss  0.543245, Average Loss  0.548531, Time  0.235580
2021-09-11 04:53:12.703913 : Epoch  2, Batch    475, Loss  0.897641, Average Loss  0.870141, Time  0.241983
2021-09-11 04:53:13.094839 : Epoch  3, Batch   2960, Loss  0.886197, Average Loss  0.869053, Time  0.176055
2021-09-11 04:53:14.640531 : Epoch  8, Batch     31, Loss  0.541476, Average Loss  0.548608, Time  0.236976
2021-09-11 04:53:14.727033 : Epoch  3, Batch   2961, Loss  0.851513, Average Loss  0.869093, Time  0.172248
2021-09-11 04:53:15.358013 : Epoch  2, Batch    476, Loss  0.880856, Average Loss  0.870097, Time  0.250878
2021-09-11 04:53:16.181873 : Epoch  8, Batch     32, Loss  0.551519, Average Loss  0.548655, Time  0.234915
2021-09-11 04:53:16.353773 : Epoch  3, Batch   2962, Loss  0.872449, Average Loss  0.869176, Time  0.174947
2021-09-11 04:53:17.735088 : Epoch  8, Batch     33, Loss  0.554577, Average Loss  0.548727, Time  0.234848
2021-09-11 04:53:17.948150 : Epoch  3, Batch   2963, Loss  0.853727, Average Loss  0.869107, Time  0.172334
2021-09-11 04:53:17.991324 : Epoch  2, Batch    477, Loss  0.883144, Average Loss  0.870026, Time  0.239828
2021-09-11 04:53:19.290897 : Epoch  8, Batch     34, Loss  0.544941, Average Loss  0.548679, Time  0.236813
2021-09-11 04:53:19.566799 : Epoch  3, Batch   2964, Loss  0.868788, Average Loss  0.869122, Time  0.170328
2021-09-11 04:53:20.734495 : Epoch  2, Batch    478, Loss  0.846877, Average Loss  0.869858, Time  0.263268
2021-09-11 04:53:20.966196 : Epoch  8, Batch     35, Loss  0.548523, Average Loss  0.548707, Time  0.234991
2021-09-11 04:53:21.201038 : Epoch  3, Batch   2965, Loss  0.882415, Average Loss  0.869207, Time  0.176119
2021-09-11 04:53:22.522851 : Epoch  8, Batch     36, Loss  0.551358, Average Loss  0.548738, Time  0.234875
2021-09-11 04:53:22.840065 : Epoch  3, Batch   2966, Loss  0.835281, Average Loss  0.868982, Time  0.174183
2021-09-11 04:53:23.453082 : Epoch  2, Batch    479, Loss  0.866835, Average Loss  0.869775, Time  0.263749
2021-09-11 04:53:24.068106 : Epoch  8, Batch     37, Loss  0.542812, Average Loss  0.548690, Time  0.235802
2021-09-11 04:53:24.447053 : Epoch  3, Batch   2967, Loss  0.845584, Average Loss  0.868911, Time  0.171617
2021-09-11 04:53:25.618089 : Epoch  8, Batch     38, Loss  0.547920, Average Loss  0.548712, Time  0.232690
2021-09-11 04:53:26.099880 : Epoch  3, Batch   2968, Loss  0.883266, Average Loss  0.868977, Time  0.177444
2021-09-11 04:53:26.131966 : Epoch  2, Batch    480, Loss  0.867795, Average Loss  0.869708, Time  0.239709
2021-09-11 04:53:27.172833 : Epoch  8, Batch     39, Loss  0.544441, Average Loss  0.548692, Time  0.235541
2021-09-11 04:53:27.719021 : Epoch  3, Batch   2969, Loss  0.865131, Average Loss  0.868902, Time  0.172877
2021-09-11 04:53:28.961623 : Epoch  8, Batch     40, Loss  0.540465, Average Loss  0.548640, Time  0.453722
2021-09-11 04:53:29.012101 : Epoch  2, Batch    481, Loss  0.870549, Average Loss  0.869708, Time  0.457115
2021-09-11 04:53:29.344808 : Epoch  3, Batch   2970, Loss  0.880311, Average Loss  0.868911, Time  0.169898
2021-09-11 04:53:30.523055 : Epoch  8, Batch     41, Loss  0.557312, Average Loss  0.548720, Time  0.233976
2021-09-11 04:53:30.975019 : Epoch  3, Batch   2971, Loss  0.869351, Average Loss  0.868914, Time  0.178151
2021-09-11 04:53:31.652241 : Epoch  2, Batch    482, Loss  0.861300, Average Loss  0.869675, Time  0.259120
2021-09-11 04:53:32.087566 : Epoch  8, Batch     42, Loss  0.548483, Average Loss  0.548669, Time  0.235343
2021-09-11 04:53:32.626016 : Epoch  3, Batch   2972, Loss  0.862087, Average Loss  0.868813, Time  0.177130
2021-09-11 04:53:33.633485 : Epoch  8, Batch     43, Loss  0.554183, Average Loss  0.548687, Time  0.235007
2021-09-11 04:53:34.329038 : Epoch  3, Batch   2973, Loss  0.851757, Average Loss  0.868813, Time  0.178014
2021-09-11 04:53:34.377135 : Epoch  2, Batch    483, Loss  0.874816, Average Loss  0.869623, Time  0.269732
2021-09-11 04:53:35.178888 : Epoch  8, Batch     44, Loss  0.553543, Average Loss  0.548724, Time  0.234140
2021-09-11 04:53:35.978807 : Epoch  3, Batch   2974, Loss  0.860933, Average Loss  0.868780, Time  0.170148
2021-09-11 04:53:36.731475 : Epoch  8, Batch     45, Loss  0.548646, Average Loss  0.548759, Time  0.234823
2021-09-11 04:53:37.016955 : Epoch  2, Batch    484, Loss  0.856466, Average Loss  0.869552, Time  0.245991
2021-09-11 04:53:37.619028 : Epoch  3, Batch   2975, Loss  0.870026, Average Loss  0.868621, Time  0.173304
2021-09-11 04:53:38.273889 : Epoch  8, Batch     46, Loss  0.549105, Average Loss  0.548758, Time  0.235607
2021-09-11 04:53:39.253036 : Epoch  3, Batch   2976, Loss  0.877853, Average Loss  0.868550, Time  0.170036
2021-09-11 04:53:39.665955 : Epoch  2, Batch    485, Loss  0.859691, Average Loss  0.869594, Time  0.243906
2021-09-11 04:53:39.892958 : Epoch  8, Batch     47, Loss  0.533013, Average Loss  0.548752, Time  0.244725
2021-09-11 04:53:40.875032 : Epoch  3, Batch   2977, Loss  0.874155, Average Loss  0.868633, Time  0.173748
2021-09-11 04:53:41.471090 : Epoch  8, Batch     48, Loss  0.552184, Average Loss  0.548735, Time  0.236607
2021-09-11 04:53:42.290229 : Epoch  2, Batch    486, Loss  0.895599, Average Loss  0.869778, Time  0.243299
2021-09-11 04:53:42.490035 : Epoch  3, Batch   2978, Loss  0.851200, Average Loss  0.868678, Time  0.175723
2021-09-11 04:53:43.009477 : Epoch  8, Batch     49, Loss  0.553704, Average Loss  0.548767, Time  0.236395
2021-09-11 04:53:44.547113 : Epoch  8, Batch     50, Loss  0.545045, Average Loss  0.548655, Time  0.232190
2021-09-11 04:53:44.917850 : Epoch  2, Batch    487, Loss  0.873567, Average Loss  0.869907, Time  0.244221
2021-09-11 04:53:46.128509 : Epoch  8, Batch     51, Loss  0.555253, Average Loss  0.548677, Time  0.234608
2021-09-11 04:53:47.692954 : Epoch  2, Batch    488, Loss  0.880602, Average Loss  0.869932, Time  0.369758
2021-09-11 04:53:47.769931 : Epoch  8, Batch     52, Loss  0.550513, Average Loss  0.548661, Time  0.303551
2021-09-11 04:53:49.325555 : Epoch  8, Batch     53, Loss  0.540597, Average Loss  0.548615, Time  0.232952
2021-09-11 04:53:50.307213 : Epoch  2, Batch    489, Loss  0.876543, Average Loss  0.869998, Time  0.239679
2021-09-11 04:53:50.920064 : Epoch  8, Batch     54, Loss  0.545348, Average Loss  0.548548, Time  0.235552
2021-09-11 04:53:52.481546 : Epoch  8, Batch     55, Loss  0.546318, Average Loss  0.548530, Time  0.237843
2021-09-11 04:53:52.965880 : Epoch  2, Batch    490, Loss  0.865736, Average Loss  0.870006, Time  0.242475
2021-09-11 04:53:54.055947 : Epoch  8, Batch     56, Loss  0.532892, Average Loss  0.548425, Time  0.237092
2021-09-11 04:53:55.815052 : Epoch  8, Batch     57, Loss  0.538098, Average Loss  0.548391, Time  0.456004
2021-09-11 04:53:55.864956 : Epoch  2, Batch    491, Loss  0.884370, Average Loss  0.870083, Time  0.476413
2021-09-11 04:53:57.395027 : Epoch  8, Batch     58, Loss  0.542252, Average Loss  0.548332, Time  0.233889
2021-09-11 04:53:58.471813 : Epoch  2, Batch    492, Loss  0.860167, Average Loss  0.870013, Time  0.241505
2021-09-11 04:53:58.966984 : Epoch  8, Batch     59, Loss  0.543657, Average Loss  0.548325, Time  0.236005
2021-09-11 04:54:00.513233 : Epoch  8, Batch     60, Loss  0.547002, Average Loss  0.548313, Time  0.240247
2021-09-11 04:54:01.117544 : Epoch  2, Batch    493, Loss  0.856210, Average Loss  0.869928, Time  0.244039
2021-09-11 04:54:02.062901 : Epoch  8, Batch     61, Loss  0.544691, Average Loss  0.548251, Time  0.236004
2021-09-11 04:54:03.733223 : Epoch  8, Batch     62, Loss  0.546525, Average Loss  0.548221, Time  0.359298
2021-09-11 04:54:03.829863 : Epoch  2, Batch    494, Loss  0.885045, Average Loss  0.870017, Time  0.306081
2021-09-11 04:54:05.289518 : Epoch  8, Batch     63, Loss  0.542794, Average Loss  0.548168, Time  0.235269
2021-09-11 04:54:06.459097 : Epoch  2, Batch    495, Loss  0.861157, Average Loss  0.869923, Time  0.240354
2021-09-11 04:54:06.844963 : Epoch  8, Batch     64, Loss  0.549789, Average Loss  0.548154, Time  0.236007
2021-09-11 04:54:08.395449 : Epoch  8, Batch     65, Loss  0.555510, Average Loss  0.548200, Time  0.233820
2021-09-11 04:54:09.100884 : Epoch  2, Batch    496, Loss  0.849297, Average Loss  0.869860, Time  0.247993
2021-09-11 04:54:09.929890 : Epoch  8, Batch     66, Loss  0.556766, Average Loss  0.548242, Time  0.234852
2021-09-11 04:54:11.498770 : Epoch  8, Batch     67, Loss  0.545950, Average Loss  0.548221, Time  0.254813
2021-09-11 04:54:11.726832 : Epoch  2, Batch    497, Loss  0.860562, Average Loss  0.869772, Time  0.246775
2021-09-11 04:54:13.224300 : Epoch  8, Batch     68, Loss  0.545924, Average Loss  0.548267, Time  0.254832
2021-09-11 04:54:14.350433 : Epoch  2, Batch    498, Loss  0.886464, Average Loss  0.869873, Time  0.241835
2021-09-11 04:54:14.952174 : Epoch  8, Batch     69, Loss  0.543476, Average Loss  0.548325, Time  0.255159
2021-09-11 04:54:16.708013 : Epoch  8, Batch     70, Loss  0.554876, Average Loss  0.548311, Time  0.255167
2021-09-11 04:54:16.982867 : Epoch  2, Batch    499, Loss  0.847485, Average Loss  0.869651, Time  0.246008
2021-09-11 04:54:18.292839 : Epoch  8, Batch     71, Loss  0.558762, Average Loss  0.548275, Time  0.235807
2021-09-11 04:54:19.614227 : Epoch  2, Batch    500, Loss  0.870743, Average Loss  0.869715, Time  0.239931
2021-09-11 04:54:19.868878 : Epoch  8, Batch     72, Loss  0.549572, Average Loss  0.548330, Time  0.235808
2021-09-11 04:54:21.448583 : Epoch  8, Batch     73, Loss  0.549713, Average Loss  0.548330, Time  0.237263
2021-09-11 04:54:22.299040 : Epoch  2, Batch    501, Loss  0.855488, Average Loss  0.869588, Time  0.240733
2021-09-11 04:54:23.014933 : Epoch  8, Batch     74, Loss  0.557425, Average Loss  0.548343, Time  0.237826
2021-09-11 04:54:24.583468 : Epoch  8, Batch     75, Loss  0.555317, Average Loss  0.548350, Time  0.235228
2021-09-11 04:54:25.000528 : Epoch  2, Batch    502, Loss  0.861163, Average Loss  0.869609, Time  0.242593
2021-09-11 04:54:26.137251 : Epoch  8, Batch     76, Loss  0.540059, Average Loss  0.548257, Time  0.236288
2021-09-11 04:54:27.884937 : Epoch  2, Batch    503, Loss  0.862466, Average Loss  0.869658, Time  0.452104
2021-09-11 04:54:27.933537 : Epoch  8, Batch     77, Loss  0.549061, Average Loss  0.548242, Time  0.421109
2021-09-11 04:54:29.470514 : Epoch  8, Batch     78, Loss  0.537509, Average Loss  0.548186, Time  0.233456
2021-09-11 04:54:30.662849 : Epoch  2, Batch    504, Loss  0.855756, Average Loss  0.869528, Time  0.245101
2021-09-11 04:54:31.022816 : Epoch  8, Batch     79, Loss  0.538702, Average Loss  0.548098, Time  0.236287
2021-09-11 04:54:32.607002 : Epoch  8, Batch     80, Loss  0.550468, Average Loss  0.548159, Time  0.237100
2021-09-11 04:54:33.298994 : Epoch  2, Batch    505, Loss  0.877655, Average Loss  0.869559, Time  0.244750
2021-09-11 04:54:34.143094 : Epoch  8, Batch     81, Loss  0.558071, Average Loss  0.548185, Time  0.235643
2021-09-11 04:54:35.695055 : Epoch  8, Batch     82, Loss  0.533242, Average Loss  0.548050, Time  0.234530
2021-09-11 04:54:36.001218 : Epoch  2, Batch    506, Loss  0.879023, Average Loss  0.869492, Time  0.246189
2021-09-11 04:54:37.242037 : Epoch  8, Batch     83, Loss  0.537965, Average Loss  0.548060, Time  0.235870
2021-09-11 04:54:38.749986 : Epoch  2, Batch    507, Loss  0.873592, Average Loss  0.869465, Time  0.345498
2021-09-11 04:54:38.852947 : Epoch  8, Batch     84, Loss  0.544232, Average Loss  0.548008, Time  0.277293
2021-09-11 04:54:40.392476 : Epoch  8, Batch     85, Loss  0.544866, Average Loss  0.547926, Time  0.235085
2021-09-11 04:54:41.472077 : Epoch  2, Batch    508, Loss  0.860634, Average Loss  0.869425, Time  0.249953
2021-09-11 04:54:41.997935 : Epoch  8, Batch     86, Loss  0.552160, Average Loss  0.547864, Time  0.234093
2021-09-11 04:54:43.528880 : Epoch  8, Batch     87, Loss  0.555382, Average Loss  0.547925, Time  0.231131
2021-09-11 04:54:44.135809 : Epoch  2, Batch    509, Loss  0.875856, Average Loss  0.869430, Time  0.259046
2021-09-11 04:54:45.081912 : Epoch  8, Batch     88, Loss  0.553665, Average Loss  0.547949, Time  0.232728
2021-09-11 04:54:46.763297 : Epoch  8, Batch     89, Loss  0.546998, Average Loss  0.547964, Time  0.364496
2021-09-11 04:54:46.878504 : Epoch  2, Batch    510, Loss  0.879312, Average Loss  0.869453, Time  0.335479
2021-09-11 04:54:48.322238 : Epoch  8, Batch     90, Loss  0.543853, Average Loss  0.547929, Time  0.232402
2021-09-11 04:54:49.511941 : Epoch  2, Batch    511, Loss  0.858702, Average Loss  0.869373, Time  0.246496
2021-09-11 04:54:49.875333 : Epoch  8, Batch     91, Loss  0.560509, Average Loss  0.548016, Time  0.235062
2021-09-11 04:54:52.124928 : Epoch  2, Batch    512, Loss  0.862195, Average Loss  0.869260, Time  0.241721
2021-09-11 04:54:54.846487 : Epoch  2, Batch    513, Loss  0.884894, Average Loss  0.869395, Time  0.270314
2021-09-11 04:54:57.490482 : Epoch  2, Batch    514, Loss  0.859768, Average Loss  0.869306, Time  0.244363
2021-09-11 04:55:00.113994 : Epoch  2, Batch    515, Loss  0.878334, Average Loss  0.869395, Time  0.242457
2021-09-11 04:55:02.752906 : Epoch  2, Batch    516, Loss  0.885026, Average Loss  0.869520, Time  0.260748
2021-09-11 04:55:05.462664 : Epoch  2, Batch    517, Loss  0.867121, Average Loss  0.869495, Time  0.262432
2021-09-11 04:55:08.128889 : Epoch  2, Batch    518, Loss  0.877539, Average Loss  0.869428, Time  0.242897
2021-09-11 04:55:10.760016 : Epoch  2, Batch    519, Loss  0.863189, Average Loss  0.869404, Time  0.247850
2021-09-11 04:55:13.386947 : Epoch  2, Batch    520, Loss  0.896117, Average Loss  0.869559, Time  0.242309
2021-09-11 04:55:16.021049 : Epoch  2, Batch    521, Loss  0.881878, Average Loss  0.869645, Time  0.249079
2021-09-11 04:55:18.823158 : Epoch  2, Batch    522, Loss  0.869468, Average Loss  0.869567, Time  0.320764
2021-09-11 04:55:21.548896 : Epoch  2, Batch    523, Loss  0.863397, Average Loss  0.869558, Time  0.320837
2021-09-11 04:55:24.299071 : Epoch  2, Batch    524, Loss  0.865969, Average Loss  0.869422, Time  0.321949
2021-09-11 04:55:27.023642 : Epoch  2, Batch    525, Loss  0.868680, Average Loss  0.869401, Time  0.249033
2021-09-11 04:55:29.711007 : Epoch  2, Batch    526, Loss  0.879461, Average Loss  0.869540, Time  0.287255
2021-09-11 04:55:32.422992 : Epoch  2, Batch    527, Loss  0.855052, Average Loss  0.869476, Time  0.261144
2021-09-11 04:55:35.063960 : Epoch  2, Batch    528, Loss  0.870817, Average Loss  0.869580, Time  0.241394
2021-09-11 04:55:37.718464 : Epoch  2, Batch    529, Loss  0.870058, Average Loss  0.869634, Time  0.240243
2021-09-11 04:55:40.359049 : Epoch  2, Batch    530, Loss  0.858928, Average Loss  0.869630, Time  0.244728
2021-09-11 04:55:42.986883 : Epoch  2, Batch    531, Loss  0.878286, Average Loss  0.869678, Time  0.247082
2021-09-11 04:55:45.616805 : Epoch  2, Batch    532, Loss  0.879280, Average Loss  0.869780, Time  0.244281
2021-09-11 04:55:46.943742 : CheckPoint: Validation Loss  0.00023002, Best Loss  0.00021921
2021-09-11 04:55:48.246940 : Epoch  2, Batch    533, Loss  0.865665, Average Loss  0.869762, Time  0.241081
2021-09-11 04:55:48.484184 : Epoch  8, Batch     92, Loss  0.558014, Average Loss  0.548059, Time  0.235631
2021-09-11 04:55:50.015134 : Epoch  8, Batch     93, Loss  0.544086, Average Loss  0.548030, Time  0.232335
2021-09-11 04:55:50.876733 : Epoch  2, Batch    534, Loss  0.854557, Average Loss  0.869799, Time  0.249070
2021-09-11 04:55:51.548370 : Epoch  8, Batch     94, Loss  0.532717, Average Loss  0.547940, Time  0.233626
2021-09-11 04:55:53.080116 : Epoch  8, Batch     95, Loss  0.547047, Average Loss  0.547978, Time  0.233404
2021-09-11 04:55:53.507499 : Epoch  2, Batch    535, Loss  0.859834, Average Loss  0.869767, Time  0.243144
2021-09-11 04:55:54.643839 : Epoch  8, Batch     96, Loss  0.555439, Average Loss  0.547978, Time  0.230876
2021-09-11 04:55:56.362187 : Epoch  2, Batch    536, Loss  0.861171, Average Loss  0.869718, Time  0.451405
2021-09-11 04:55:56.408916 : Epoch  8, Batch     97, Loss  0.554741, Average Loss  0.548012, Time  0.428425
2021-09-11 04:55:57.927992 : Epoch  8, Batch     98, Loss  0.544910, Average Loss  0.548010, Time  0.233928
2021-09-11 04:55:59.094976 : Epoch  2, Batch    537, Loss  0.856882, Average Loss  0.869483, Time  0.267057
2021-09-11 04:55:59.449434 : Epoch  8, Batch     99, Loss  0.548925, Average Loss  0.548022, Time  0.234196
2021-09-11 04:56:00.977034 : Epoch  8, Batch    100, Loss  0.546200, Average Loss  0.548003, Time  0.232766
2021-09-11 04:56:01.804836 : Epoch  2, Batch    538, Loss  0.871055, Average Loss  0.869574, Time  0.266616
2021-09-11 04:56:02.515422 : Epoch  8, Batch    101, Loss  0.546093, Average Loss  0.548024, Time  0.235774
2021-09-11 04:56:04.056070 : Epoch  8, Batch    102, Loss  0.556295, Average Loss  0.548111, Time  0.234737
2021-09-11 04:56:04.437871 : Epoch  2, Batch    539, Loss  0.866972, Average Loss  0.869571, Time  0.246797
2021-09-11 04:56:05.603212 : Epoch  8, Batch    103, Loss  0.550966, Average Loss  0.548047, Time  0.233402
2021-09-11 04:56:07.244957 : Epoch  2, Batch    540, Loss  0.874970, Average Loss  0.869572, Time  0.428205
2021-09-11 04:56:07.283072 : Epoch  8, Batch    104, Loss  0.550201, Average Loss  0.547996, Time  0.368544
2021-09-11 04:56:08.792503 : Epoch  8, Batch    105, Loss  0.560727, Average Loss  0.548110, Time  0.237281
2021-09-11 04:56:09.873167 : Epoch  2, Batch    541, Loss  0.863174, Average Loss  0.869629, Time  0.243450
2021-09-11 04:56:10.345003 : Epoch  8, Batch    106, Loss  0.538605, Average Loss  0.548129, Time  0.234724
2021-09-11 04:56:11.909116 : Epoch  8, Batch    107, Loss  0.543926, Average Loss  0.548106, Time  0.234910
2021-09-11 04:56:12.543265 : Epoch  2, Batch    542, Loss  0.846678, Average Loss  0.869552, Time  0.242397
2021-09-11 04:56:13.466126 : Epoch  8, Batch    108, Loss  0.553918, Average Loss  0.548175, Time  0.232103
2021-09-11 04:56:15.128736 : Epoch  8, Batch    109, Loss  0.555984, Average Loss  0.548161, Time  0.319703
2021-09-11 04:56:15.264110 : Epoch  2, Batch    543, Loss  0.875486, Average Loss  0.869505, Time  0.294341
2021-09-11 04:56:16.705427 : Epoch  8, Batch    110, Loss  0.543850, Average Loss  0.548167, Time  0.233150
2021-09-11 04:56:17.954931 : Epoch  2, Batch    544, Loss  0.879691, Average Loss  0.869559, Time  0.243768
2021-09-11 04:56:18.246908 : Epoch  8, Batch    111, Loss  0.556211, Average Loss  0.548254, Time  0.232080
2021-09-11 04:56:19.786061 : Epoch  8, Batch    112, Loss  0.550455, Average Loss  0.548308, Time  0.242904
2021-09-11 04:56:21.320399 : Epoch  8, Batch    113, Loss  0.533302, Average Loss  0.548266, Time  0.241807
2021-09-11 04:56:22.920209 : Epoch  8, Batch    114, Loss  0.541943, Average Loss  0.548262, Time  0.232860
2021-09-11 04:56:24.463400 : Epoch  8, Batch    115, Loss  0.544684, Average Loss  0.548194, Time  0.234171
2021-09-11 04:56:26.015900 : Epoch  8, Batch    116, Loss  0.554675, Average Loss  0.548261, Time  0.237603
2021-09-11 04:56:27.574429 : Epoch  8, Batch    117, Loss  0.564182, Average Loss  0.548392, Time  0.230807
2021-09-11 04:56:29.126396 : Epoch  8, Batch    118, Loss  0.542424, Average Loss  0.548377, Time  0.231608
2021-09-11 04:56:30.752024 : Epoch  8, Batch    119, Loss  0.561105, Average Loss  0.548348, Time  0.312238
2021-09-11 04:56:32.282423 : Epoch  8, Batch    120, Loss  0.544158, Average Loss  0.548323, Time  0.230604
2021-09-11 04:56:33.817395 : Epoch  8, Batch    121, Loss  0.544194, Average Loss  0.548303, Time  0.231617
2021-09-11 04:56:35.357393 : Epoch  8, Batch    122, Loss  0.551680, Average Loss  0.548321, Time  0.236896
2021-09-11 04:56:36.909067 : Epoch  8, Batch    123, Loss  0.554759, Average Loss  0.548336, Time  0.234112
2021-09-11 04:56:38.438046 : Epoch  8, Batch    124, Loss  0.534016, Average Loss  0.548296, Time  0.237327
2021-09-11 04:56:39.966127 : Epoch  8, Batch    125, Loss  0.561927, Average Loss  0.548378, Time  0.232499
2021-09-11 04:56:41.598958 : Epoch  8, Batch    126, Loss  0.541613, Average Loss  0.548382, Time  0.230762
2021-09-11 04:56:43.159367 : Epoch  8, Batch    127, Loss  0.542844, Average Loss  0.548400, Time  0.235106
2021-09-11 04:56:44.694399 : Epoch  8, Batch    128, Loss  0.547140, Average Loss  0.548439, Time  0.231034
2021-09-11 04:56:46.215391 : Epoch  8, Batch    129, Loss  0.552248, Average Loss  0.548497, Time  0.230663
2021-09-11 04:56:47.748943 : Epoch  8, Batch    130, Loss  0.552590, Average Loss  0.548540, Time  0.241409
2021-09-11 04:56:49.275406 : Epoch  8, Batch    131, Loss  0.554745, Average Loss  0.548602, Time  0.230751
2021-09-11 04:56:50.819165 : Epoch  8, Batch    132, Loss  0.544037, Average Loss  0.548617, Time  0.231594
2021-09-11 04:56:52.428970 : Epoch  8, Batch    133, Loss  0.539657, Average Loss  0.548477, Time  0.311953
2021-09-11 04:56:53.959412 : Epoch  8, Batch    134, Loss  0.554710, Average Loss  0.548555, Time  0.230756
2021-09-11 04:56:55.542385 : Epoch  8, Batch    135, Loss  0.559718, Average Loss  0.548597, Time  0.232091
2021-09-11 04:56:57.081408 : Epoch  8, Batch    136, Loss  0.577446, Average Loss  0.548754, Time  0.230782
2021-09-11 04:56:58.693435 : Epoch  8, Batch    137, Loss  0.550397, Average Loss  0.548848, Time  0.232201
2021-09-11 04:57:00.221417 : Epoch  8, Batch    138, Loss  0.544132, Average Loss  0.548878, Time  0.231580
2021-09-11 04:57:01.767083 : Epoch  8, Batch    139, Loss  0.536825, Average Loss  0.548836, Time  0.237101
2021-09-11 04:57:03.306255 : Epoch  8, Batch    140, Loss  0.542475, Average Loss  0.548820, Time  0.230772
2021-09-11 04:57:04.832173 : Epoch  8, Batch    141, Loss  0.549224, Average Loss  0.548823, Time  0.230778
2021-09-11 04:57:06.359967 : Epoch  8, Batch    142, Loss  0.548663, Average Loss  0.548816, Time  0.231273
2021-09-11 04:57:07.891029 : Epoch  8, Batch    143, Loss  0.545277, Average Loss  0.548803, Time  0.231233
2021-09-11 04:57:09.417846 : Epoch  8, Batch    144, Loss  0.556052, Average Loss  0.548814, Time  0.230870
2021-09-11 04:57:10.957044 : Epoch  8, Batch    145, Loss  0.539944, Average Loss  0.548802, Time  0.235210
2021-09-11 04:57:12.483776 : Epoch  8, Batch    146, Loss  0.542813, Average Loss  0.548769, Time  0.233942
2021-09-11 04:57:14.097002 : Epoch  8, Batch    147, Loss  0.548052, Average Loss  0.548810, Time  0.313652
2021-09-11 04:57:15.660907 : Epoch  8, Batch    148, Loss  0.538743, Average Loss  0.548735, Time  0.234918
2021-09-11 04:57:17.286375 : Epoch  8, Batch    149, Loss  0.547946, Average Loss  0.548685, Time  0.233356
2021-09-11 04:57:18.918417 : Epoch  8, Batch    150, Loss  0.552550, Average Loss  0.548759, Time  0.317959
2021-09-11 04:57:20.445397 : Epoch  8, Batch    151, Loss  0.562059, Average Loss  0.548842, Time  0.231179
2021-09-11 04:57:21.996962 : Epoch  8, Batch    152, Loss  0.563055, Average Loss  0.548874, Time  0.231094
2021-09-11 04:57:23.532385 : Epoch  8, Batch    153, Loss  0.534088, Average Loss  0.548813, Time  0.234399
2021-09-11 04:57:25.071560 : Epoch  8, Batch    154, Loss  0.545383, Average Loss  0.548821, Time  0.232050
2021-09-11 04:57:26.608118 : Epoch  8, Batch    155, Loss  0.544927, Average Loss  0.548777, Time  0.230871
2021-09-11 04:57:28.143022 : Epoch  8, Batch    156, Loss  0.556559, Average Loss  0.548796, Time  0.233768
2021-09-11 04:57:29.660047 : Epoch  8, Batch    157, Loss  0.555228, Average Loss  0.548807, Time  0.231058
2021-09-11 04:57:31.186865 : Epoch  8, Batch    158, Loss  0.549239, Average Loss  0.548851, Time  0.230874
2021-09-11 04:57:32.720113 : Epoch  8, Batch    159, Loss  0.547923, Average Loss  0.548794, Time  0.230879
2021-09-11 04:57:34.246951 : Epoch  8, Batch    160, Loss  0.552164, Average Loss  0.548777, Time  0.231580
2021-09-11 04:57:35.850852 : Epoch  8, Batch    161, Loss  0.531540, Average Loss  0.548666, Time  0.312306
2021-09-11 04:57:39.989944 : Epoch  8, Batch    162, Loss  0.554375, Average Loss  0.548699, Time  0.232890
2021-09-11 04:57:41.517404 : Epoch  8, Batch    163, Loss  0.547957, Average Loss  0.548677, Time  0.230862
2021-09-11 04:57:43.128091 : Epoch  8, Batch    164, Loss  0.558549, Average Loss  0.548755, Time  0.315804
2021-09-11 04:57:44.655380 : Epoch  8, Batch    165, Loss  0.560483, Average Loss  0.548815, Time  0.231605
2021-09-11 04:57:46.197893 : Epoch  8, Batch    166, Loss  0.537555, Average Loss  0.548688, Time  0.233268
2021-09-11 04:57:46.349410 : Epoch  8, Batch    167, Loss  0.594967, Average Loss  0.548890, Time  0.095675
2021-09-11 04:57:48.024461 : Epoch  8, Batch    168, Loss  0.555362, Average Loss  0.548900, Time  0.272198
2021-09-11 04:57:49.557829 : Epoch  8, Batch    169, Loss  0.542955, Average Loss  0.548883, Time  0.236307
2021-09-11 04:57:51.093458 : Epoch  8, Batch    170, Loss  0.544559, Average Loss  0.548822, Time  0.234394
2021-09-11 04:57:52.743915 : Epoch  8, Batch    171, Loss  0.551933, Average Loss  0.548857, Time  0.313115
2021-09-11 04:57:54.277043 : Epoch  8, Batch    172, Loss  0.550236, Average Loss  0.548889, Time  0.231436
2021-09-11 04:57:55.808377 : Epoch  8, Batch    173, Loss  0.539560, Average Loss  0.548772, Time  0.231488
2021-09-11 04:57:57.352977 : Epoch  8, Batch    174, Loss  0.549101, Average Loss  0.548805, Time  0.231000
2021-09-11 04:57:58.888446 : Epoch  8, Batch    175, Loss  0.554041, Average Loss  0.548850, Time  0.231404
2021-09-11 04:58:00.427402 : Epoch  8, Batch    176, Loss  0.563395, Average Loss  0.548890, Time  0.230714
2021-09-11 04:58:01.956089 : Epoch  8, Batch    177, Loss  0.564543, Average Loss  0.548994, Time  0.235878
2021-09-11 04:58:03.482862 : Epoch  8, Batch    178, Loss  0.557227, Average Loss  0.548983, Time  0.236256
2021-09-11 04:58:05.006314 : Epoch  8, Batch    179, Loss  0.541901, Average Loss  0.548837, Time  0.231086
2021-09-11 04:58:06.539003 : Epoch  8, Batch    180, Loss  0.552556, Average Loss  0.548882, Time  0.234411
2021-09-11 04:58:08.067380 : Epoch  8, Batch    181, Loss  0.556637, Average Loss  0.548935, Time  0.230825
2021-09-11 04:58:09.688065 : Epoch  8, Batch    182, Loss  0.557177, Average Loss  0.548970, Time  0.316394
2021-09-11 04:58:11.223056 : Epoch  8, Batch    183, Loss  0.540234, Average Loss  0.548978, Time  0.231357
2021-09-11 04:58:12.760677 : Epoch  8, Batch    184, Loss  0.535614, Average Loss  0.548886, Time  0.230861
2021-09-11 04:58:14.375451 : Epoch  8, Batch    185, Loss  0.547911, Average Loss  0.548942, Time  0.312634
2021-09-11 04:58:15.917104 : Epoch  8, Batch    186, Loss  0.548095, Average Loss  0.548973, Time  0.234864
2021-09-11 04:58:17.442381 : Epoch  8, Batch    187, Loss  0.544451, Average Loss  0.548933, Time  0.232916
2021-09-11 04:58:18.987032 : Epoch  8, Batch    188, Loss  0.538403, Average Loss  0.548879, Time  0.231224
2021-09-11 04:58:20.531204 : Epoch  8, Batch    189, Loss  0.553164, Average Loss  0.548883, Time  0.231196
2021-09-11 04:58:22.061611 : Epoch  8, Batch    190, Loss  0.553449, Average Loss  0.548846, Time  0.231167
2021-09-11 04:58:23.198779 : CheckPoint: Validation Loss  0.00060655, Best Loss  0.00057296
2021-09-11 04:58:23.596413 : Epoch  8, Batch    191, Loss  0.542033, Average Loss  0.548870, Time  0.231138
2021-09-11 04:58:24.813967 : Epoch  3, Batch   2979, Loss  0.866031, Average Loss  0.868631, Time  0.181806
2021-09-11 04:58:26.434932 : Epoch  3, Batch   2980, Loss  0.863754, Average Loss  0.868692, Time  0.184254
2021-09-11 04:58:28.054005 : Epoch  3, Batch   2981, Loss  0.878773, Average Loss  0.868544, Time  0.175826
2021-09-11 04:58:29.676026 : Epoch  3, Batch   2982, Loss  0.866117, Average Loss  0.868591, Time  0.172304
2021-09-11 04:58:31.295253 : Epoch  3, Batch   2983, Loss  0.851609, Average Loss  0.868439, Time  0.178273
2021-09-11 04:58:32.932029 : Epoch  3, Batch   2984, Loss  0.860368, Average Loss  0.868278, Time  0.178216
2021-09-11 04:58:34.556026 : Epoch  3, Batch   2985, Loss  0.875229, Average Loss  0.868415, Time  0.185138
2021-09-11 04:58:36.141038 : Epoch  3, Batch   2986, Loss  0.865723, Average Loss  0.868590, Time  0.170045
2021-09-11 04:58:37.756030 : Epoch  3, Batch   2987, Loss  0.858272, Average Loss  0.868455, Time  0.169889
2021-09-11 04:58:39.400746 : Epoch  3, Batch   2988, Loss  0.887717, Average Loss  0.868672, Time  0.184159
2021-09-11 04:58:41.015050 : Epoch  3, Batch   2989, Loss  0.876369, Average Loss  0.868707, Time  0.170947
2021-09-11 04:58:42.631011 : Epoch  3, Batch   2990, Loss  0.865049, Average Loss  0.868655, Time  0.169568
2021-09-11 04:58:44.242905 : Epoch  3, Batch   2991, Loss  0.875724, Average Loss  0.868653, Time  0.169981
2021-09-11 04:58:45.901853 : Epoch  3, Batch   2992, Loss  0.871393, Average Loss  0.868640, Time  0.169783
2021-09-11 04:58:47.525809 : Epoch  3, Batch   2993, Loss  0.867569, Average Loss  0.868513, Time  0.169552
2021-09-11 04:58:49.141084 : Epoch  3, Batch   2994, Loss  0.882168, Average Loss  0.868635, Time  0.170811
2021-09-11 04:58:50.779791 : Epoch  3, Batch   2995, Loss  0.874780, Average Loss  0.868565, Time  0.181838
2021-09-11 04:58:52.398872 : Epoch  3, Batch   2996, Loss  0.856774, Average Loss  0.868468, Time  0.180493
2021-09-11 04:58:53.983022 : Epoch  3, Batch   2997, Loss  0.857064, Average Loss  0.868394, Time  0.170055
2021-09-11 04:58:55.603933 : Epoch  3, Batch   2998, Loss  0.872057, Average Loss  0.868385, Time  0.176166
2021-09-11 04:58:57.208413 : Epoch  3, Batch   2999, Loss  0.870951, Average Loss  0.868376, Time  0.169973
2021-09-11 04:58:58.832041 : Epoch  3, Batch   3000, Loss  0.887942, Average Loss  0.868566, Time  0.169965
2021-09-11 04:59:00.447110 : Epoch  3, Batch   3001, Loss  0.921246, Average Loss  0.868823, Time  0.176352
2021-09-11 04:59:02.051739 : Epoch  3, Batch   3002, Loss  0.857957, Average Loss  0.868797, Time  0.169902
2021-09-11 04:59:03.680031 : Epoch  3, Batch   3003, Loss  0.854554, Average Loss  0.868709, Time  0.170332
2021-09-11 04:59:05.325966 : Epoch  3, Batch   3004, Loss  0.870303, Average Loss  0.868580, Time  0.181333
2021-09-11 04:59:06.927774 : Epoch  3, Batch   3005, Loss  0.877790, Average Loss  0.868442, Time  0.170598
2021-09-11 04:59:08.534057 : Epoch  3, Batch   3006, Loss  0.846595, Average Loss  0.868349, Time  0.169783
2021-09-11 04:59:10.139886 : Epoch  3, Batch   3007, Loss  0.855999, Average Loss  0.868321, Time  0.183655
2021-09-11 04:59:11.765789 : Epoch  3, Batch   3008, Loss  0.858610, Average Loss  0.868329, Time  0.170289
2021-09-11 04:59:13.391769 : Epoch  3, Batch   3009, Loss  0.881058, Average Loss  0.868255, Time  0.170129
2021-09-11 04:59:15.029766 : Epoch  3, Batch   3010, Loss  0.840672, Average Loss  0.867940, Time  0.170222
2021-09-11 04:59:16.654794 : Epoch  3, Batch   3011, Loss  0.882686, Average Loss  0.867998, Time  0.177410
2021-09-11 04:59:18.270833 : Epoch  3, Batch   3012, Loss  0.865062, Average Loss  0.867912, Time  0.172950
2021-09-11 04:59:19.873888 : Epoch  3, Batch   3013, Loss  0.871585, Average Loss  0.867815, Time  0.170511
2021-09-11 04:59:20.394758 : CheckPoint: Validation Loss  0.00022644, Best Loss  0.00021921
2021-09-11 04:59:21.504805 : Epoch  3, Batch   3014, Loss  0.887408, Average Loss  0.867966, Time  0.174168
2021-09-11 04:59:21.991911 : Epoch  8, Batch    192, Loss  0.546603, Average Loss  0.548801, Time  0.289634
2021-09-11 04:59:23.134767 : Epoch  3, Batch   3015, Loss  0.887016, Average Loss  0.868084, Time  0.169997
2021-09-11 04:59:23.534467 : Epoch  8, Batch    193, Loss  0.547411, Average Loss  0.548798, Time  0.231727
2021-09-11 04:59:24.780072 : Epoch  3, Batch   3016, Loss  0.860421, Average Loss  0.868066, Time  0.170095
2021-09-11 04:59:25.080130 : Epoch  8, Batch    194, Loss  0.551002, Average Loss  0.548805, Time  0.231798
2021-09-11 04:59:26.416039 : Epoch  3, Batch   3017, Loss  0.853147, Average Loss  0.867901, Time  0.170182
2021-09-11 04:59:26.694994 : Epoch  8, Batch    195, Loss  0.536939, Average Loss  0.548818, Time  0.315631
2021-09-11 04:59:28.054825 : Epoch  3, Batch   3018, Loss  0.810062, Average Loss  0.867555, Time  0.183290
2021-09-11 04:59:28.229390 : Epoch  8, Batch    196, Loss  0.548425, Average Loss  0.548861, Time  0.232223
2021-09-11 04:59:29.663032 : Epoch  3, Batch   3019, Loss  0.917271, Average Loss  0.867725, Time  0.169805
2021-09-11 04:59:29.765024 : Epoch  8, Batch    197, Loss  0.547598, Average Loss  0.548851, Time  0.234469
2021-09-11 04:59:31.283820 : Epoch  3, Batch   3020, Loss  0.847450, Average Loss  0.867690, Time  0.174126
2021-09-11 04:59:31.299427 : Epoch  8, Batch    198, Loss  0.552264, Average Loss  0.548888, Time  0.233386
2021-09-11 04:59:32.846400 : Epoch  8, Batch    199, Loss  0.544613, Average Loss  0.548824, Time  0.231861
2021-09-11 04:59:32.895813 : Epoch  3, Batch   3021, Loss  0.864230, Average Loss  0.867546, Time  0.170073
2021-09-11 04:59:34.371013 : Epoch  8, Batch    200, Loss  0.552007, Average Loss  0.548805, Time  0.230705
2021-09-11 04:59:34.524835 : Epoch  3, Batch   3022, Loss  0.882202, Average Loss  0.867605, Time  0.173241
2021-09-11 04:59:35.886116 : Epoch  8, Batch    201, Loss  0.549634, Average Loss  0.548842, Time  0.230948
2021-09-11 04:59:36.144802 : Epoch  3, Batch   3023, Loss  0.882845, Average Loss  0.867592, Time  0.182002
2021-09-11 04:59:37.413395 : Epoch  8, Batch    202, Loss  0.547102, Average Loss  0.548841, Time  0.231842
2021-09-11 04:59:37.758879 : Epoch  3, Batch   3024, Loss  0.874112, Average Loss  0.867769, Time  0.169844
2021-09-11 04:59:38.940415 : Epoch  8, Batch    203, Loss  0.556951, Average Loss  0.548832, Time  0.231235
2021-09-11 04:59:39.374766 : Epoch  3, Batch   3025, Loss  0.849714, Average Loss  0.867765, Time  0.171735
2021-09-11 04:59:40.457813 : Epoch  8, Batch    204, Loss  0.542112, Average Loss  0.548768, Time  0.231220
2021-09-11 04:59:40.981029 : Epoch  3, Batch   3026, Loss  0.865108, Average Loss  0.867543, Time  0.169833
2021-09-11 04:59:41.984389 : Epoch  8, Batch    205, Loss  0.540666, Average Loss  0.548689, Time  0.238319
2021-09-11 04:59:42.599747 : Epoch  3, Batch   3027, Loss  0.877665, Average Loss  0.867557, Time  0.169918
2021-09-11 04:59:43.607045 : Epoch  8, Batch    206, Loss  0.544961, Average Loss  0.548601, Time  0.321681
2021-09-11 04:59:44.220031 : Epoch  3, Batch   3028, Loss  0.889104, Average Loss  0.867621, Time  0.170770
2021-09-11 04:59:45.177890 : Epoch  8, Batch    207, Loss  0.551662, Average Loss  0.548583, Time  0.234531
2021-09-11 04:59:45.832762 : Epoch  3, Batch   3029, Loss  0.838231, Average Loss  0.867419, Time  0.171562
2021-09-11 04:59:46.709863 : Epoch  8, Batch    208, Loss  0.548221, Average Loss  0.548608, Time  0.231209
2021-09-11 04:59:47.436799 : Epoch  3, Batch   3030, Loss  0.892587, Average Loss  0.867633, Time  0.169967
2021-09-11 04:59:48.243994 : Epoch  8, Batch    209, Loss  0.549857, Average Loss  0.548649, Time  0.231449
2021-09-11 04:59:49.064035 : Epoch  3, Batch   3031, Loss  0.867427, Average Loss  0.867717, Time  0.170032
2021-09-11 04:59:49.776380 : Epoch  8, Batch    210, Loss  0.543136, Average Loss  0.548579, Time  0.231143
2021-09-11 04:59:50.680023 : Epoch  3, Batch   3032, Loss  0.862229, Average Loss  0.867778, Time  0.170498
2021-09-11 04:59:51.316865 : Epoch  8, Batch    211, Loss  0.542189, Average Loss  0.548519, Time  0.231431
2021-09-11 04:59:52.299032 : Epoch  3, Batch   3033, Loss  0.906134, Average Loss  0.867790, Time  0.172046
2021-09-11 04:59:52.837071 : Epoch  8, Batch    212, Loss  0.543998, Average Loss  0.548469, Time  0.230831
2021-09-11 04:59:53.887023 : Epoch  3, Batch   3034, Loss  0.875757, Average Loss  0.867819, Time  0.170213
2021-09-11 04:59:54.357040 : Epoch  8, Batch    213, Loss  0.552136, Average Loss  0.548516, Time  0.230838
2021-09-11 04:59:55.498899 : Epoch  3, Batch   3035, Loss  0.875440, Average Loss  0.867804, Time  0.171972
2021-09-11 04:59:55.867398 : Epoch  8, Batch    214, Loss  0.553625, Average Loss  0.548557, Time  0.230614
2021-09-11 04:59:57.134834 : Epoch  3, Batch   3036, Loss  0.859609, Average Loss  0.867823, Time  0.185230
2021-09-11 04:59:57.382293 : Epoch  8, Batch    215, Loss  0.560568, Average Loss  0.548569, Time  0.230835
2021-09-11 04:59:58.785079 : Epoch  3, Batch   3037, Loss  0.855188, Average Loss  0.867755, Time  0.178023
2021-09-11 04:59:58.914538 : Epoch  8, Batch    216, Loss  0.566058, Average Loss  0.548647, Time  0.235251
2021-09-11 05:00:00.418905 : Epoch  3, Batch   3038, Loss  0.829173, Average Loss  0.867478, Time  0.170340
2021-09-11 05:00:00.535358 : Epoch  8, Batch    217, Loss  0.548941, Average Loss  0.548682, Time  0.321316
2021-09-11 05:00:02.049754 : Epoch  3, Batch   3039, Loss  0.878884, Average Loss  0.867434, Time  0.173228
2021-09-11 05:00:02.071992 : Epoch  8, Batch    218, Loss  0.556819, Average Loss  0.548731, Time  0.230727
2021-09-11 05:00:03.585074 : Epoch  8, Batch    219, Loss  0.555709, Average Loss  0.548778, Time  0.230783
2021-09-11 05:00:03.663828 : Epoch  3, Batch   3040, Loss  0.897882, Average Loss  0.867651, Time  0.183306
2021-09-11 05:00:05.211227 : Epoch  8, Batch    220, Loss  0.541983, Average Loss  0.548753, Time  0.302171
2021-09-11 05:00:05.275760 : Epoch  3, Batch   3041, Loss  0.898439, Average Loss  0.867862, Time  0.170311
2021-09-11 05:00:06.743402 : Epoch  8, Batch    221, Loss  0.551058, Average Loss  0.548801, Time  0.235894
2021-09-11 05:00:06.846736 : Epoch  3, Batch   3042, Loss  0.871579, Average Loss  0.867978, Time  0.169771
2021-09-11 05:00:08.262877 : Epoch  8, Batch    222, Loss  0.538842, Average Loss  0.548715, Time  0.231500
2021-09-11 05:00:08.444832 : Epoch  3, Batch   3043, Loss  0.833995, Average Loss  0.867792, Time  0.173804
2021-09-11 05:00:09.824398 : Epoch  8, Batch    223, Loss  0.545287, Average Loss  0.548657, Time  0.235855
2021-09-11 05:00:10.048093 : Epoch  3, Batch   3044, Loss  0.856153, Average Loss  0.867697, Time  0.170619
2021-09-11 05:00:11.356425 : Epoch  8, Batch    224, Loss  0.549289, Average Loss  0.548703, Time  0.233492
2021-09-11 05:00:11.676876 : Epoch  3, Batch   3045, Loss  0.878961, Average Loss  0.867754, Time  0.174227
2021-09-11 05:00:12.904094 : Epoch  8, Batch    225, Loss  0.548386, Average Loss  0.548746, Time  0.242827
2021-09-11 05:00:13.321935 : Epoch  3, Batch   3046, Loss  0.861363, Average Loss  0.867690, Time  0.190013
2021-09-11 05:00:14.421021 : Epoch  8, Batch    226, Loss  0.570022, Average Loss  0.548931, Time  0.232057
2021-09-11 05:00:14.954032 : Epoch  3, Batch   3047, Loss  0.839377, Average Loss  0.867503, Time  0.174927
2021-09-11 05:00:15.940945 : Epoch  8, Batch    227, Loss  0.548406, Average Loss  0.548996, Time  0.236063
2021-09-11 05:00:16.550798 : Epoch  3, Batch   3048, Loss  0.866797, Average Loss  0.867590, Time  0.172460
2021-09-11 05:00:17.466404 : Epoch  8, Batch    228, Loss  0.555094, Average Loss  0.549030, Time  0.231700
2021-09-11 05:00:18.158743 : Epoch  3, Batch   3049, Loss  0.872109, Average Loss  0.867569, Time  0.169947
2021-09-11 05:00:18.977713 : Epoch  8, Batch    229, Loss  0.558853, Average Loss  0.549108, Time  0.230643
2021-09-11 05:00:19.759033 : Epoch  3, Batch   3050, Loss  0.866681, Average Loss  0.867607, Time  0.172623
2021-09-11 05:00:20.506894 : Epoch  8, Batch    230, Loss  0.546847, Average Loss  0.549035, Time  0.230821
2021-09-11 05:00:21.375813 : Epoch  3, Batch   3051, Loss  0.881499, Average Loss  0.867779, Time  0.175826
2021-09-11 05:00:22.139401 : Epoch  8, Batch    231, Loss  0.549818, Average Loss  0.549077, Time  0.316979
2021-09-11 05:00:23.015801 : Epoch  3, Batch   3052, Loss  0.852453, Average Loss  0.867684, Time  0.182740
2021-09-11 05:00:23.621747 : CheckPoint: Validation Loss  0.00030302, Best Loss  0.00029547
2021-09-11 05:00:23.730178 : Epoch  8, Batch    232, Loss  0.537621, Average Loss  0.549008, Time  0.285275
2021-09-11 05:00:24.609965 : Epoch  3, Batch   3053, Loss  0.838684, Average Loss  0.867622, Time  0.177440
2021-09-11 05:00:25.329097 : Epoch  8, Batch    233, Loss  0.537700, Average Loss  0.548923, Time  0.234251
2021-09-11 05:00:26.214220 : Epoch  3, Batch   3054, Loss  0.894135, Average Loss  0.867569, Time  0.169565
2021-09-11 05:00:26.387348 : Epoch  2, Batch    545, Loss  0.865713, Average Loss  0.869532, Time  0.265014
2021-09-11 05:00:26.870535 : Epoch  8, Batch    234, Loss  0.539967, Average Loss  0.548898, Time  0.231135
2021-09-11 05:00:27.854784 : Epoch  3, Batch   3055, Loss  0.852721, Average Loss  0.867508, Time  0.176659
2021-09-11 05:00:28.417013 : Epoch  8, Batch    235, Loss  0.547854, Average Loss  0.548895, Time  0.230958
2021-09-11 05:00:29.021902 : Epoch  2, Batch    546, Loss  0.872453, Average Loss  0.869569, Time  0.244778
2021-09-11 05:00:29.470039 : Epoch  3, Batch   3056, Loss  0.838887, Average Loss  0.867446, Time  0.171969
2021-09-11 05:00:29.967418 : Epoch  8, Batch    236, Loss  0.548543, Average Loss  0.548881, Time  0.230995
2021-09-11 05:00:31.109793 : Epoch  3, Batch   3057, Loss  0.871035, Average Loss  0.867563, Time  0.169659
2021-09-11 05:00:31.698795 : Epoch  8, Batch    237, Loss  0.552561, Average Loss  0.548930, Time  0.401956
2021-09-11 05:00:31.756389 : Epoch  2, Batch    547, Loss  0.880747, Average Loss  0.869708, Time  0.338489
2021-09-11 05:00:32.754032 : Epoch  3, Batch   3058, Loss  0.888854, Average Loss  0.867594, Time  0.170584
2021-09-11 05:00:33.225447 : Epoch  8, Batch    238, Loss  0.536914, Average Loss  0.548875, Time  0.230942
2021-09-11 05:00:34.371826 : Epoch  3, Batch   3059, Loss  0.851133, Average Loss  0.867604, Time  0.173359
2021-09-11 05:00:34.751910 : Epoch  8, Batch    239, Loss  0.552046, Average Loss  0.548913, Time  0.234271
2021-09-11 05:00:36.024860 : Epoch  3, Batch   3060, Loss  0.862479, Average Loss  0.867572, Time  0.176219
2021-09-11 05:00:36.310922 : Epoch  8, Batch    240, Loss  0.556814, Average Loss  0.548994, Time  0.234425
2021-09-11 05:00:37.020076 : Epoch  2, Batch    549, Loss  0.889375, Average Loss  0.869855, Time  0.261297
2021-09-11 05:00:37.643024 : Epoch  3, Batch   3061, Loss  0.897815, Average Loss  0.867604, Time  0.170006
2021-09-11 05:00:37.837209 : Epoch  8, Batch    241, Loss  0.524780, Average Loss  0.548832, Time  0.231593
2021-09-11 05:00:39.273764 : Epoch  3, Batch   3062, Loss  0.877196, Average Loss  0.867718, Time  0.173301
2021-09-11 05:00:39.434884 : Epoch  8, Batch    242, Loss  0.542064, Average Loss  0.548800, Time  0.230901
2021-09-11 05:00:39.746856 : Epoch  2, Batch    550, Loss  0.871552, Average Loss  0.869796, Time  0.273251
2021-09-11 05:00:40.871785 : Epoch  3, Batch   3063, Loss  0.855518, Average Loss  0.867572, Time  0.172351
2021-09-11 05:00:40.976395 : Epoch  8, Batch    243, Loss  0.550398, Average Loss  0.548781, Time  0.234393
2021-09-11 05:00:42.524838 : Epoch  3, Batch   3064, Loss  0.881807, Average Loss  0.867659, Time  0.176581
2021-09-11 05:00:42.696019 : Epoch  8, Batch    244, Loss  0.543849, Average Loss  0.548732, Time  0.409765
2021-09-11 05:00:42.741586 : Epoch  2, Batch    551, Loss  0.871099, Average Loss  0.869915, Time  0.454415
2021-09-11 05:00:44.150761 : Epoch  3, Batch   3065, Loss  0.869228, Average Loss  0.867647, Time  0.180670
2021-09-11 05:00:44.228718 : Epoch  8, Batch    245, Loss  0.549869, Average Loss  0.548738, Time  0.231001
2021-09-11 05:00:45.347720 : Epoch  2, Batch    552, Loss  0.875571, Average Loss  0.870002, Time  0.240542
2021-09-11 05:00:45.783734 : Epoch  3, Batch   3066, Loss  0.857459, Average Loss  0.867707, Time  0.173304
2021-09-11 05:00:47.302380 : Epoch  8, Batch    247, Loss  0.542435, Average Loss  0.548761, Time  0.230828
2021-09-11 05:00:47.421782 : Epoch  3, Batch   3067, Loss  0.853327, Average Loss  0.867608, Time  0.186173
2021-09-11 05:00:48.048113 : Epoch  2, Batch    553, Loss  0.891409, Average Loss  0.870131, Time  0.243977
2021-09-11 05:00:48.834887 : Epoch  8, Batch    248, Loss  0.545144, Average Loss  0.548726, Time  0.230828
2021-09-11 05:00:49.052840 : Epoch  3, Batch   3068, Loss  0.856869, Average Loss  0.867731, Time  0.173986
2021-09-11 05:00:50.368462 : Epoch  8, Batch    249, Loss  0.553252, Average Loss  0.548724, Time  0.230992
2021-09-11 05:00:50.672819 : Epoch  3, Batch   3069, Loss  0.843917, Average Loss  0.867459, Time  0.170248
2021-09-11 05:00:50.715936 : Epoch  2, Batch    554, Loss  0.887385, Average Loss  0.870234, Time  0.242090
2021-09-11 05:00:51.906895 : Epoch  8, Batch    250, Loss  0.551839, Average Loss  0.548758, Time  0.239207
2021-09-11 05:00:52.306047 : Epoch  3, Batch   3070, Loss  0.834700, Average Loss  0.867362, Time  0.188342
2021-09-11 05:00:53.602849 : Epoch  2, Batch    555, Loss  0.866860, Average Loss  0.870283, Time  0.442261
2021-09-11 05:00:53.649430 : Epoch  8, Batch    251, Loss  0.539082, Average Loss  0.548677, Time  0.384402
2021-09-11 05:00:53.970763 : Epoch  3, Batch   3071, Loss  0.839324, Average Loss  0.867047, Time  0.174024
2021-09-11 05:00:55.183931 : Epoch  8, Batch    252, Loss  0.533693, Average Loss  0.548593, Time  0.233467
2021-09-11 05:00:55.595028 : Epoch  3, Batch   3072, Loss  0.899573, Average Loss  0.867305, Time  0.170214
2021-09-11 05:00:56.232962 : Epoch  2, Batch    556, Loss  0.870574, Average Loss  0.870309, Time  0.246740
2021-09-11 05:00:56.714077 : Epoch  8, Batch    253, Loss  0.536288, Average Loss  0.548571, Time  0.231261
2021-09-11 05:00:57.189629 : Epoch  3, Batch   3073, Loss  0.842585, Average Loss  0.867075, Time  0.170585
2021-09-11 05:00:58.240383 : Epoch  8, Batch    254, Loss  0.553839, Average Loss  0.548614, Time  0.230958
2021-09-11 05:00:58.844752 : Epoch  3, Batch   3074, Loss  0.862327, Average Loss  0.867149, Time  0.175848
2021-09-11 05:00:58.868540 : Epoch  2, Batch    557, Loss  0.868690, Average Loss  0.870378, Time  0.249683
2021-09-11 05:00:59.795374 : Epoch  8, Batch    255, Loss  0.543024, Average Loss  0.548597, Time  0.230829
2021-09-11 05:01:00.462746 : Epoch  3, Batch   3075, Loss  0.882698, Average Loss  0.867267, Time  0.176812
2021-09-11 05:01:01.409868 : Epoch  8, Batch    256, Loss  0.548990, Average Loss  0.548678, Time  0.319626
2021-09-11 05:01:01.544504 : Epoch  2, Batch    558, Loss  0.894199, Average Loss  0.870552, Time  0.281734
2021-09-11 05:01:02.118027 : Epoch  3, Batch   3076, Loss  0.888722, Average Loss  0.867324, Time  0.170028
2021-09-11 05:01:02.979430 : Epoch  8, Batch    257, Loss  0.544610, Average Loss  0.548710, Time  0.231875
2021-09-11 05:01:03.753920 : Epoch  3, Batch   3077, Loss  0.858442, Average Loss  0.867242, Time  0.179385
2021-09-11 05:01:04.169481 : Epoch  2, Batch    559, Loss  0.863797, Average Loss  0.870452, Time  0.244623
2021-09-11 05:01:04.503822 : Epoch  8, Batch    258, Loss  0.542483, Average Loss  0.548712, Time  0.231091
2021-09-11 05:01:05.403039 : Epoch  3, Batch   3078, Loss  0.855921, Average Loss  0.867362, Time  0.169821
2021-09-11 05:01:06.034982 : Epoch  8, Batch    259, Loss  0.556351, Average Loss  0.548775, Time  0.231149
2021-09-11 05:01:06.909469 : Epoch  2, Batch    560, Loss  0.852271, Average Loss  0.870381, Time  0.243575
2021-09-11 05:01:07.612208 : Epoch  8, Batch    260, Loss  0.543059, Average Loss  0.548755, Time  0.231257
2021-09-11 05:01:09.194907 : Epoch  8, Batch    261, Loss  0.543871, Average Loss  0.548751, Time  0.231406
2021-09-11 05:01:09.576162 : Epoch  2, Batch    561, Loss  0.895207, Average Loss  0.870462, Time  0.243694
2021-09-11 05:01:12.210500 : Epoch  2, Batch    562, Loss  0.859786, Average Loss  0.870451, Time  0.242396
2021-09-11 05:01:13.320018 : Epoch  8, Batch    262, Loss  0.548817, Average Loss  0.548763, Time  0.230929
2021-09-11 05:01:15.048002 : Epoch  8, Batch    263, Loss  0.551411, Average Loss  0.548806, Time  0.429203
2021-09-11 05:01:15.089012 : Epoch  2, Batch    563, Loss  0.873179, Average Loss  0.870532, Time  0.455459
2021-09-11 05:01:16.578952 : Epoch  8, Batch    264, Loss  0.551609, Average Loss  0.548815, Time  0.231657
2021-09-11 05:01:17.714485 : Epoch  2, Batch    564, Loss  0.855317, Average Loss  0.870449, Time  0.252441
2021-09-11 05:01:18.182141 : Epoch  8, Batch    265, Loss  0.552376, Average Loss  0.548799, Time  0.232800
2021-09-11 05:01:19.722474 : Epoch  8, Batch    266, Loss  0.547240, Average Loss  0.548752, Time  0.230957
2021-09-11 05:01:20.348498 : Epoch  2, Batch    565, Loss  0.847726, Average Loss  0.870328, Time  0.246290
2021-09-11 05:01:21.237885 : Epoch  8, Batch    267, Loss  0.540305, Average Loss  0.548723, Time  0.232208
2021-09-11 05:01:22.768329 : Epoch  8, Batch    268, Loss  0.553883, Average Loss  0.548763, Time  0.231550
2021-09-11 05:01:22.993328 : Epoch  2, Batch    566, Loss  0.869772, Average Loss  0.870244, Time  0.256086
2021-09-11 05:01:24.280029 : Epoch  8, Batch    269, Loss  0.539879, Average Loss  0.548745, Time  0.231271
2021-09-11 05:01:25.688954 : Epoch  2, Batch    567, Loss  0.870592, Average Loss  0.870302, Time  0.317978
2021-09-11 05:01:25.819079 : Epoch  8, Batch    270, Loss  0.531352, Average Loss  0.548628, Time  0.255782
2021-09-11 05:01:27.366028 : Epoch  8, Batch    271, Loss  0.547168, Average Loss  0.548570, Time  0.231101
2021-09-11 05:01:28.318768 : Epoch  2, Batch    568, Loss  0.876566, Average Loss  0.870339, Time  0.248942
2021-09-11 05:01:28.882027 : Epoch  8, Batch    272, Loss  0.549746, Average Loss  0.548570, Time  0.230838
2021-09-11 05:01:30.409229 : Epoch  8, Batch    273, Loss  0.547528, Average Loss  0.548560, Time  0.232249
2021-09-11 05:01:30.952469 : Epoch  2, Batch    569, Loss  0.868182, Average Loss  0.870328, Time  0.238844
2021-09-11 05:01:31.940909 : Epoch  8, Batch    274, Loss  0.549895, Average Loss  0.548522, Time  0.230663
2021-09-11 05:01:33.640876 : Epoch  8, Batch    275, Loss  0.558738, Average Loss  0.548539, Time  0.396842
2021-09-11 05:01:33.700155 : Epoch  2, Batch    570, Loss  0.884999, Average Loss  0.870404, Time  0.341628
2021-09-11 05:01:35.186415 : Epoch  8, Batch    276, Loss  0.539506, Average Loss  0.548536, Time  0.236465
2021-09-11 05:01:36.301464 : Epoch  2, Batch    571, Loss  0.878012, Average Loss  0.870440, Time  0.240841
2021-09-11 05:01:36.727408 : Epoch  8, Batch    277, Loss  0.542617, Average Loss  0.548504, Time  0.235544
2021-09-11 05:01:38.273994 : Epoch  8, Batch    278, Loss  0.551836, Average Loss  0.548576, Time  0.232165
2021-09-11 05:01:38.927133 : Epoch  2, Batch    572, Loss  0.848236, Average Loss  0.870334, Time  0.250319
2021-09-11 05:01:39.803049 : Epoch  8, Batch    279, Loss  0.535815, Average Loss  0.548561, Time  0.231095
2021-09-11 05:01:41.349077 : Epoch  8, Batch    280, Loss  0.532624, Average Loss  0.548472, Time  0.231183
2021-09-11 05:01:41.571622 : Epoch  2, Batch    573, Loss  0.876457, Average Loss  0.870378, Time  0.249449
2021-09-11 05:01:42.901859 : Epoch  8, Batch    281, Loss  0.541437, Average Loss  0.548389, Time  0.235204
2021-09-11 05:01:44.353870 : Epoch  2, Batch    574, Loss  0.888562, Average Loss  0.870421, Time  0.325722
2021-09-11 05:01:44.478867 : Epoch  8, Batch    282, Loss  0.546018, Average Loss  0.548453, Time  0.264295
2021-09-11 05:01:46.013217 : Epoch  8, Batch    283, Loss  0.538665, Average Loss  0.548456, Time  0.230909
2021-09-11 05:01:47.009603 : Epoch  2, Batch    575, Loss  0.862080, Average Loss  0.870289, Time  0.246902
2021-09-11 05:01:47.543690 : Epoch  8, Batch    284, Loss  0.550447, Average Loss  0.548487, Time  0.231174
2021-09-11 05:01:49.096995 : Epoch  8, Batch    285, Loss  0.546823, Average Loss  0.548497, Time  0.232445
2021-09-11 05:01:49.709829 : Epoch  2, Batch    576, Loss  0.876382, Average Loss  0.870418, Time  0.240055
2021-09-11 05:01:50.674001 : Epoch  8, Batch    286, Loss  0.557178, Average Loss  0.548522, Time  0.232619
2021-09-11 05:01:52.210176 : Epoch  8, Batch    287, Loss  0.545815, Average Loss  0.548474, Time  0.231502
2021-09-11 05:01:52.614935 : Epoch  2, Batch    577, Loss  0.889877, Average Loss  0.870528, Time  0.328923
2021-09-11 05:01:53.797871 : Epoch  8, Batch    288, Loss  0.553171, Average Loss  0.548472, Time  0.230875
2021-09-11 05:01:55.452150 : Epoch  2, Batch    578, Loss  0.851700, Average Loss  0.870384, Time  0.443919
2021-09-11 05:01:55.498203 : Epoch  8, Batch    289, Loss  0.548836, Average Loss  0.548481, Time  0.377246
2021-09-11 05:01:57.021093 : Epoch  8, Batch    290, Loss  0.555543, Average Loss  0.548539, Time  0.240255
2021-09-11 05:01:58.081945 : Epoch  2, Batch    579, Loss  0.872311, Average Loss  0.870388, Time  0.244431
2021-09-11 05:01:58.557429 : Epoch  8, Batch    291, Loss  0.547590, Average Loss  0.548475, Time  0.231474
2021-09-11 05:02:00.722156 : Epoch  2, Batch    580, Loss  0.873305, Average Loss  0.870416, Time  0.239907
2021-09-11 05:02:03.373494 : Epoch  2, Batch    581, Loss  0.869568, Average Loss  0.870407, Time  0.243004
2021-09-11 05:02:06.040867 : Epoch  2, Batch    582, Loss  0.882505, Average Loss  0.870527, Time  0.245483
2021-09-11 05:02:08.696486 : Epoch  2, Batch    583, Loss  0.861124, Average Loss  0.870294, Time  0.241750
2021-09-11 05:02:11.350902 : Epoch  2, Batch    584, Loss  0.872581, Average Loss  0.870365, Time  0.246003
2021-09-11 05:02:14.002437 : Epoch  2, Batch    585, Loss  0.871258, Average Loss  0.870304, Time  0.242632
2021-09-11 05:02:16.640189 : Epoch  2, Batch    586, Loss  0.853466, Average Loss  0.870254, Time  0.245355
2021-09-11 05:02:19.444845 : Epoch  2, Batch    587, Loss  0.901499, Average Loss  0.870333, Time  0.345693
2021-09-11 05:02:22.169038 : Epoch  2, Batch    588, Loss  0.862704, Average Loss  0.870255, Time  0.322278
2021-09-11 05:02:24.876499 : Epoch  2, Batch    589, Loss  0.861387, Average Loss  0.870114, Time  0.322721
2021-09-11 05:02:27.628497 : Epoch  2, Batch    590, Loss  0.881111, Average Loss  0.870161, Time  0.308877
2021-09-11 05:02:30.336511 : Epoch  2, Batch    591, Loss  0.868593, Average Loss  0.870256, Time  0.263357
2021-09-11 05:02:33.038198 : Epoch  2, Batch    592, Loss  0.879512, Average Loss  0.870424, Time  0.259412
2021-09-11 05:02:35.735434 : Epoch  2, Batch    593, Loss  0.880357, Average Loss  0.870508, Time  0.258370
2021-09-11 05:02:38.379567 : Epoch  2, Batch    594, Loss  0.856775, Average Loss  0.870343, Time  0.244965
2021-09-11 05:02:41.025423 : Epoch  2, Batch    595, Loss  0.850624, Average Loss  0.870259, Time  0.243318
2021-09-11 05:02:43.637422 : Epoch  2, Batch    596, Loss  0.862614, Average Loss  0.870288, Time  0.239437
2021-09-11 05:02:46.236235 : Epoch  2, Batch    597, Loss  0.879267, Average Loss  0.870310, Time  0.238754
2021-09-11 05:02:48.863629 : Epoch  2, Batch    598, Loss  0.845829, Average Loss  0.870181, Time  0.246180
2021-09-11 05:02:51.580473 : Epoch  2, Batch    599, Loss  0.874707, Average Loss  0.870119, Time  0.274483
2021-09-11 05:02:54.282555 : Epoch  2, Batch    600, Loss  0.869976, Average Loss  0.870096, Time  0.251857
2021-09-11 05:02:55.468769 : CheckPoint: Validation Loss  0.00022475, Best Loss  0.00021921
2021-09-11 05:02:57.102490 : Epoch  2, Batch    601, Loss  0.862467, Average Loss  0.870031, Time  0.430699
2021-09-11 05:02:57.151039 : Epoch  8, Batch    292, Loss  0.541746, Average Loss  0.548394, Time  0.348933
2021-09-11 05:02:58.672954 : Epoch  8, Batch    293, Loss  0.534687, Average Loss  0.548347, Time  0.231374
2021-09-11 05:02:59.721046 : Epoch  2, Batch    602, Loss  0.918397, Average Loss  0.870369, Time  0.241621
2021-09-11 05:03:00.225871 : Epoch  8, Batch    294, Loss  0.543073, Average Loss  0.548398, Time  0.230854
2021-09-11 05:03:01.762909 : Epoch  8, Batch    295, Loss  0.548688, Average Loss  0.548407, Time  0.232988
2021-09-11 05:03:02.352917 : Epoch  2, Batch    603, Loss  0.875955, Average Loss  0.870469, Time  0.243361
2021-09-11 05:03:03.380041 : Epoch  8, Batch    296, Loss  0.550203, Average Loss  0.548380, Time  0.235672
2021-09-11 05:03:05.191786 : Epoch  8, Batch    297, Loss  0.548450, Average Loss  0.548349, Time  0.454568
2021-09-11 05:03:05.191858 : Epoch  2, Batch    604, Loss  0.882714, Average Loss  0.870432, Time  0.448417
2021-09-11 05:03:06.734861 : Epoch  8, Batch    298, Loss  0.545620, Average Loss  0.548352, Time  0.235970
2021-09-11 05:03:07.849308 : Epoch  2, Batch    605, Loss  0.870813, Average Loss  0.870449, Time  0.246494
2021-09-11 05:03:08.269181 : Epoch  8, Batch    299, Loss  0.546634, Average Loss  0.548341, Time  0.232837
2021-09-11 05:03:09.807389 : Epoch  8, Batch    300, Loss  0.540391, Average Loss  0.548312, Time  0.230473
2021-09-11 05:03:10.484858 : Epoch  2, Batch    606, Loss  0.869663, Average Loss  0.870364, Time  0.245090
2021-09-11 05:03:11.364477 : Epoch  8, Batch    301, Loss  0.542177, Average Loss  0.548292, Time  0.231658
2021-09-11 05:03:12.939434 : Epoch  8, Batch    302, Loss  0.538553, Average Loss  0.548204, Time  0.233080
2021-09-11 05:03:13.337581 : Epoch  2, Batch    607, Loss  0.875998, Average Loss  0.870390, Time  0.267436
2021-09-11 05:03:14.479091 : Epoch  8, Batch    303, Loss  0.561062, Average Loss  0.548254, Time  0.231587
2021-09-11 05:03:16.233395 : Epoch  8, Batch    304, Loss  0.555957, Average Loss  0.548283, Time  0.454195
2021-09-11 05:03:16.280093 : Epoch  2, Batch    608, Loss  0.861782, Average Loss  0.870343, Time  0.452620
2021-09-11 05:03:17.785420 : Epoch  8, Batch    305, Loss  0.543654, Average Loss  0.548198, Time  0.236526
2021-09-11 05:03:18.929832 : Epoch  2, Batch    609, Loss  0.876852, Average Loss  0.870433, Time  0.243883
2021-09-11 05:03:19.338475 : Epoch  8, Batch    306, Loss  0.551216, Average Loss  0.548261, Time  0.231027
2021-09-11 05:03:20.872469 : Epoch  8, Batch    307, Loss  0.538377, Average Loss  0.548233, Time  0.231707
2021-09-11 05:03:21.573907 : Epoch  2, Batch    610, Loss  0.909211, Average Loss  0.870698, Time  0.246383
2021-09-11 05:03:22.446039 : Epoch  8, Batch    308, Loss  0.548040, Average Loss  0.548203, Time  0.238551
2021-09-11 05:03:23.991387 : Epoch  8, Batch    309, Loss  0.541080, Average Loss  0.548129, Time  0.231563
2021-09-11 05:03:24.212456 : Epoch  2, Batch    611, Loss  0.854643, Average Loss  0.870609, Time  0.248697
2021-09-11 05:03:25.545166 : Epoch  8, Batch    310, Loss  0.551429, Average Loss  0.548167, Time  0.232781
2021-09-11 05:03:26.901493 : Epoch  2, Batch    612, Loss  0.885632, Average Loss  0.870705, Time  0.245515
2021-09-11 05:03:27.102091 : Epoch  8, Batch    311, Loss  0.533552, Average Loss  0.548054, Time  0.237128
2021-09-11 05:03:28.648839 : Epoch  8, Batch    312, Loss  0.547598, Average Loss  0.548039, Time  0.231838
2021-09-11 05:03:29.532525 : Epoch  2, Batch    613, Loss  0.867430, Average Loss  0.870630, Time  0.242642
2021-09-11 05:03:30.206883 : Epoch  8, Batch    313, Loss  0.537751, Average Loss  0.548062, Time  0.231135
2021-09-11 05:03:31.751730 : Epoch  8, Batch    314, Loss  0.538180, Average Loss  0.548043, Time  0.231416
2021-09-11 05:03:32.174781 : Epoch  2, Batch    614, Loss  0.890369, Average Loss  0.870713, Time  0.242248
2021-09-11 05:03:33.276405 : Epoch  8, Batch    315, Loss  0.557976, Average Loss  0.548109, Time  0.231612
2021-09-11 05:03:35.001184 : Epoch  8, Batch    316, Loss  0.550390, Average Loss  0.548088, Time  0.397720
2021-09-11 05:03:35.001463 : Epoch  2, Batch    615, Loss  0.862134, Average Loss  0.870619, Time  0.447637
2021-09-11 05:03:36.562416 : Epoch  8, Batch    317, Loss  0.561475, Average Loss  0.548074, Time  0.230883
2021-09-11 05:03:37.681510 : Epoch  2, Batch    616, Loss  0.888229, Average Loss  0.870622, Time  0.245321
2021-09-11 05:03:38.107969 : Epoch  8, Batch    318, Loss  0.546571, Average Loss  0.548095, Time  0.231943
2021-09-11 05:03:39.649848 : Epoch  8, Batch    319, Loss  0.536434, Average Loss  0.547972, Time  0.234395
2021-09-11 05:03:40.298445 : Epoch  2, Batch    617, Loss  0.877515, Average Loss  0.870705, Time  0.242829
2021-09-11 05:03:41.212903 : Epoch  8, Batch    320, Loss  0.553212, Average Loss  0.548017, Time  0.231331
2021-09-11 05:03:42.862413 : Epoch  8, Batch    321, Loss  0.547140, Average Loss  0.548032, Time  0.341817
2021-09-11 05:03:42.972818 : Epoch  2, Batch    618, Loss  0.851693, Average Loss  0.870660, Time  0.288812
2021-09-11 05:03:44.394404 : Epoch  8, Batch    322, Loss  0.548495, Average Loss  0.548016, Time  0.233082
2021-09-11 05:03:45.597452 : Epoch  2, Batch    619, Loss  0.877593, Average Loss  0.870705, Time  0.243346
2021-09-11 05:03:45.954053 : Epoch  8, Batch    323, Loss  0.547926, Average Loss  0.547982, Time  0.241045
2021-09-11 05:03:47.500406 : Epoch  8, Batch    324, Loss  0.559302, Average Loss  0.548108, Time  0.233539
2021-09-11 05:03:48.214940 : Epoch  2, Batch    620, Loss  0.876813, Average Loss  0.870695, Time  0.246717
2021-09-11 05:03:49.025772 : Epoch  8, Batch    325, Loss  0.553661, Average Loss  0.548067, Time  0.231520
2021-09-11 05:03:50.554854 : Epoch  8, Batch    326, Loss  0.536038, Average Loss  0.548039, Time  0.231192
2021-09-11 05:03:50.835012 : Epoch  2, Batch    621, Loss  0.871814, Average Loss  0.870585, Time  0.244747
2021-09-11 05:03:52.081821 : Epoch  8, Batch    327, Loss  0.560527, Average Loss  0.548127, Time  0.232828
2021-09-11 05:03:53.531807 : Epoch  2, Batch    622, Loss  0.860862, Average Loss  0.870469, Time  0.327743
2021-09-11 05:03:53.650414 : Epoch  8, Batch    328, Loss  0.544097, Average Loss  0.548112, Time  0.273428
2021-09-11 05:03:55.197026 : Epoch  8, Batch    329, Loss  0.556275, Average Loss  0.548132, Time  0.237411
2021-09-11 05:03:56.271898 : Epoch  2, Batch    623, Loss  0.867682, Average Loss  0.870519, Time  0.262010
2021-09-11 05:03:56.737964 : Epoch  8, Batch    330, Loss  0.550398, Average Loss  0.548121, Time  0.235668
2021-09-11 05:03:58.291900 : Epoch  8, Batch    331, Loss  0.562699, Average Loss  0.548161, Time  0.232140
2021-09-11 05:03:58.969997 : Epoch  2, Batch    624, Loss  0.862433, Average Loss  0.870494, Time  0.245860
2021-09-11 05:03:59.847300 : Epoch  8, Batch    332, Loss  0.541077, Average Loss  0.548146, Time  0.231423
2021-09-11 05:04:01.411396 : Epoch  8, Batch    333, Loss  0.545004, Average Loss  0.548173, Time  0.233163
2021-09-11 05:04:01.646847 : Epoch  2, Batch    625, Loss  0.868087, Average Loss  0.870475, Time  0.241400
2021-09-11 05:04:02.958420 : Epoch  8, Batch    334, Loss  0.556950, Average Loss  0.548184, Time  0.231097
2021-09-11 05:04:04.311884 : Epoch  2, Batch    626, Loss  0.892049, Average Loss  0.870640, Time  0.254220
2021-09-11 05:04:04.510411 : Epoch  8, Batch    335, Loss  0.545395, Average Loss  0.548112, Time  0.242030
2021-09-11 05:04:06.073018 : Epoch  8, Batch    336, Loss  0.548367, Average Loss  0.547967, Time  0.239279
2021-09-11 05:04:07.023835 : Epoch  2, Batch    627, Loss  0.858709, Average Loss  0.870640, Time  0.242621
2021-09-11 05:04:07.649414 : Epoch  8, Batch    337, Loss  0.557996, Average Loss  0.548005, Time  0.234516
2021-09-11 05:04:09.222861 : Epoch  8, Batch    338, Loss  0.550007, Average Loss  0.548034, Time  0.233875
2021-09-11 05:04:09.651943 : Epoch  2, Batch    628, Loss  0.869697, Average Loss  0.870575, Time  0.245731
2021-09-11 05:04:10.770462 : Epoch  8, Batch    339, Loss  0.557706, Average Loss  0.548139, Time  0.232621
2021-09-11 05:04:12.500025 : Epoch  2, Batch    629, Loss  0.884681, Average Loss  0.870696, Time  0.451028
2021-09-11 05:04:12.549433 : Epoch  8, Batch    340, Loss  0.553754, Average Loss  0.548195, Time  0.422266
2021-09-11 05:04:14.068285 : Epoch  8, Batch    341, Loss  0.540691, Average Loss  0.548153, Time  0.232101
2021-09-11 05:04:15.128990 : Epoch  2, Batch    630, Loss  0.870392, Average Loss  0.870656, Time  0.245577
2021-09-11 05:04:15.599414 : Epoch  8, Batch    342, Loss  0.552411, Average Loss  0.548171, Time  0.231711
2021-09-11 05:04:17.139929 : Epoch  8, Batch    343, Loss  0.538188, Average Loss  0.548136, Time  0.233791
2021-09-11 05:04:17.746194 : Epoch  2, Batch    631, Loss  0.888379, Average Loss  0.870798, Time  0.242678
2021-09-11 05:04:18.683090 : Epoch  8, Batch    344, Loss  0.549042, Average Loss  0.548101, Time  0.235230
2021-09-11 05:04:20.378908 : Epoch  8, Batch    345, Loss  0.549754, Average Loss  0.548150, Time  0.382935
2021-09-11 05:04:20.461935 : Epoch  2, Batch    632, Loss  0.865996, Average Loss  0.870914, Time  0.329010
2021-09-11 05:04:21.956760 : Epoch  8, Batch    346, Loss  0.543616, Average Loss  0.548154, Time  0.233171
2021-09-11 05:04:23.165594 : Epoch  2, Batch    633, Loss  0.870872, Average Loss  0.870950, Time  0.241917
2021-09-11 05:04:23.521982 : Epoch  8, Batch    347, Loss  0.555065, Average Loss  0.548189, Time  0.232171
2021-09-11 05:04:25.084253 : Epoch  8, Batch    348, Loss  0.531807, Average Loss  0.548154, Time  0.235280
2021-09-11 05:04:25.841289 : Epoch  2, Batch    634, Loss  0.885444, Average Loss  0.871055, Time  0.241188
2021-09-11 05:04:26.647938 : Epoch  8, Batch    349, Loss  0.552898, Average Loss  0.548179, Time  0.231392
2021-09-11 05:04:28.210811 : Epoch  8, Batch    350, Loss  0.543470, Average Loss  0.548134, Time  0.233221
2021-09-11 05:04:28.516651 : Epoch  2, Batch    635, Loss  0.873174, Average Loss  0.871109, Time  0.245024
2021-09-11 05:04:29.752930 : Epoch  8, Batch    351, Loss  0.553411, Average Loss  0.548090, Time  0.232376
2021-09-11 05:04:31.419535 : Epoch  2, Batch    636, Loss  0.876847, Average Loss  0.871126, Time  0.453856
2021-09-11 05:04:31.458959 : Epoch  8, Batch    352, Loss  0.548304, Average Loss  0.548017, Time  0.359391
2021-09-11 05:04:32.988047 : Epoch  8, Batch    353, Loss  0.550140, Average Loss  0.548097, Time  0.231535
2021-09-11 05:04:34.132924 : Epoch  2, Batch    637, Loss  0.888694, Average Loss  0.871166, Time  0.266628
2021-09-11 05:04:34.566129 : Epoch  8, Batch    354, Loss  0.546044, Average Loss  0.548100, Time  0.238432
2021-09-11 05:04:36.113874 : Epoch  8, Batch    355, Loss  0.550281, Average Loss  0.548127, Time  0.233400
2021-09-11 05:04:36.765485 : Epoch  2, Batch    638, Loss  0.874771, Average Loss  0.871126, Time  0.244718
2021-09-11 05:04:37.681862 : Epoch  8, Batch    356, Loss  0.553067, Average Loss  0.548109, Time  0.234464
2021-09-11 05:04:39.377349 : Epoch  8, Batch    357, Loss  0.540448, Average Loss  0.548036, Time  0.372609
2021-09-11 05:04:39.460548 : Epoch  2, Batch    639, Loss  0.866376, Average Loss  0.871117, Time  0.315574
2021-09-11 05:04:40.925979 : Epoch  8, Batch    358, Loss  0.549597, Average Loss  0.548037, Time  0.232874
2021-09-11 05:04:42.141568 : Epoch  2, Batch    640, Loss  0.837964, Average Loss  0.871037, Time  0.244603
2021-09-11 05:04:42.480069 : Epoch  8, Batch    359, Loss  0.548609, Average Loss  0.548041, Time  0.231735
2021-09-11 05:04:44.051994 : Epoch  8, Batch    360, Loss  0.550753, Average Loss  0.548034, Time  0.234766
2021-09-11 05:04:44.779896 : Epoch  2, Batch    641, Loss  0.864288, Average Loss  0.871022, Time  0.241261
2021-09-11 05:04:45.590809 : Epoch  8, Batch    361, Loss  0.545988, Average Loss  0.548106, Time  0.234381
2021-09-11 05:04:47.433555 : Epoch  2, Batch    642, Loss  0.868264, Average Loss  0.871087, Time  0.251942
2021-09-11 05:04:49.537027 : Epoch  8, Batch    362, Loss  0.538916, Average Loss  0.548029, Time  0.231704
2021-09-11 05:04:50.189680 : Epoch  2, Batch    643, Loss  0.864632, Average Loss  0.871063, Time  0.251211
2021-09-11 05:04:51.140874 : Epoch  8, Batch    363, Loss  0.537646, Average Loss  0.547977, Time  0.233675
2021-09-11 05:04:52.672941 : Epoch  8, Batch    364, Loss  0.541825, Average Loss  0.547893, Time  0.230680
2021-09-11 05:04:52.902961 : Epoch  2, Batch    644, Loss  0.873577, Average Loss  0.871163, Time  0.242985
2021-09-11 05:04:54.208058 : Epoch  8, Batch    365, Loss  0.543315, Average Loss  0.547808, Time  0.234537
2021-09-11 05:04:55.751983 : Epoch  8, Batch    366, Loss  0.535507, Average Loss  0.547797, Time  0.233319
2021-09-11 05:04:57.297435 : Epoch  8, Batch    367, Loss  0.547345, Average Loss  0.547559, Time  0.233348
2021-09-11 05:04:58.838033 : Epoch  8, Batch    368, Loss  0.550614, Average Loss  0.547536, Time  0.235320
2021-09-11 05:05:00.465985 : Epoch  8, Batch    369, Loss  0.542414, Average Loss  0.547533, Time  0.234980
2021-09-11 05:05:02.025837 : Epoch  8, Batch    370, Loss  0.548223, Average Loss  0.547551, Time  0.237907
2021-09-11 05:05:03.569842 : Epoch  8, Batch    371, Loss  0.544722, Average Loss  0.547515, Time  0.233003
2021-09-11 05:05:05.182149 : Epoch  8, Batch    372, Loss  0.549257, Average Loss  0.547510, Time  0.234666
2021-09-11 05:05:06.708260 : Epoch  8, Batch    373, Loss  0.537919, Average Loss  0.547502, Time  0.231107
2021-09-11 05:05:08.262902 : Epoch  8, Batch    374, Loss  0.555580, Average Loss  0.547534, Time  0.231991
2021-09-11 05:05:09.806283 : Epoch  8, Batch    375, Loss  0.548750, Average Loss  0.547508, Time  0.232036
2021-09-11 05:05:11.361108 : Epoch  8, Batch    376, Loss  0.549575, Average Loss  0.547439, Time  0.234965
2021-09-11 05:05:12.943208 : Epoch  8, Batch    377, Loss  0.543505, Average Loss  0.547334, Time  0.270867
2021-09-11 05:05:14.540018 : Epoch  8, Batch    378, Loss  0.546096, Average Loss  0.547278, Time  0.233376
2021-09-11 05:05:16.105978 : Epoch  8, Batch    379, Loss  0.541084, Average Loss  0.547274, Time  0.234681
2021-09-11 05:05:17.743132 : Epoch  8, Batch    380, Loss  0.541610, Average Loss  0.547219, Time  0.312206
2021-09-11 05:05:19.281462 : Epoch  8, Batch    381, Loss  0.561832, Average Loss  0.547245, Time  0.234072
2021-09-11 05:05:20.853075 : Epoch  8, Batch    382, Loss  0.552586, Average Loss  0.547222, Time  0.231944
2021-09-11 05:05:22.394085 : Epoch  8, Batch    383, Loss  0.526928, Average Loss  0.547156, Time  0.231463
2021-09-11 05:05:23.932151 : Epoch  8, Batch    384, Loss  0.545198, Average Loss  0.547204, Time  0.230718
2021-09-11 05:05:25.468007 : Epoch  8, Batch    385, Loss  0.535471, Average Loss  0.547141, Time  0.234110
2021-09-11 05:05:27.012029 : Epoch  8, Batch    386, Loss  0.541454, Average Loss  0.547108, Time  0.238450
2021-09-11 05:05:28.553455 : Epoch  8, Batch    387, Loss  0.550765, Average Loss  0.547140, Time  0.235169
2021-09-11 05:05:30.147142 : Epoch  8, Batch    388, Loss  0.540265, Average Loss  0.547149, Time  0.231102
2021-09-11 05:05:31.678342 : Epoch  8, Batch    389, Loss  0.552742, Average Loss  0.547147, Time  0.230309
2021-09-11 05:05:33.201837 : Epoch  8, Batch    390, Loss  0.537632, Average Loss  0.547068, Time  0.230735
2021-09-11 05:05:34.799412 : Epoch  8, Batch    391, Loss  0.557416, Average Loss  0.547145, Time  0.296518
2021-09-11 05:05:46.065029 : CheckPoint: Validation Loss  0.00058620, Best Loss  0.00057296
2021-09-11 05:05:47.663909 : Epoch  3, Batch   3079, Loss  0.855220, Average Loss  0.867160, Time  0.179184
2021-09-11 05:05:49.294738 : Epoch  3, Batch   3080, Loss  0.873610, Average Loss  0.867200, Time  0.177372
2021-09-11 05:05:50.895744 : Epoch  3, Batch   3081, Loss  0.878935, Average Loss  0.867174, Time  0.171581
2021-09-11 05:05:52.507019 : Epoch  3, Batch   3082, Loss  0.883123, Average Loss  0.867240, Time  0.170329
2021-09-11 05:05:54.127891 : Epoch  3, Batch   3083, Loss  0.882372, Average Loss  0.867346, Time  0.170382
2021-09-11 05:05:55.746069 : Epoch  3, Batch   3084, Loss  0.872522, Average Loss  0.867334, Time  0.170222
2021-09-11 05:05:57.388752 : Epoch  3, Batch   3085, Loss  0.882158, Average Loss  0.867535, Time  0.173198
2021-09-11 05:05:58.992789 : Epoch  3, Batch   3086, Loss  0.836134, Average Loss  0.867333, Time  0.182355
2021-09-11 05:06:00.634835 : Epoch  3, Batch   3087, Loss  0.889007, Average Loss  0.867437, Time  0.169857
2021-09-11 05:06:02.254036 : Epoch  3, Batch   3088, Loss  0.874349, Average Loss  0.867543, Time  0.170195
2021-09-11 05:06:03.878808 : Epoch  3, Batch   3089, Loss  0.871048, Average Loss  0.867623, Time  0.173791
2021-09-11 05:06:05.532044 : Epoch  3, Batch   3090, Loss  0.870324, Average Loss  0.867627, Time  0.172203
2021-09-11 05:06:07.159845 : Epoch  3, Batch   3091, Loss  0.883006, Average Loss  0.867795, Time  0.184429
2021-09-11 05:06:08.821036 : Epoch  3, Batch   3092, Loss  0.863333, Average Loss  0.867589, Time  0.190044
2021-09-11 05:06:10.462050 : Epoch  3, Batch   3093, Loss  0.848876, Average Loss  0.867469, Time  0.177300
2021-09-11 05:06:12.094036 : Epoch  3, Batch   3094, Loss  0.888328, Average Loss  0.867677, Time  0.182656
2021-09-11 05:06:13.699891 : Epoch  3, Batch   3095, Loss  0.893116, Average Loss  0.867732, Time  0.173864
2021-09-11 05:06:15.320230 : Epoch  3, Batch   3096, Loss  0.862758, Average Loss  0.867748, Time  0.174135
2021-09-11 05:06:16.934748 : Epoch  3, Batch   3097, Loss  0.867301, Average Loss  0.867661, Time  0.175510
2021-09-11 05:06:18.559040 : Epoch  3, Batch   3098, Loss  0.904235, Average Loss  0.867858, Time  0.174284
2021-09-11 05:06:20.201031 : Epoch  3, Batch   3099, Loss  0.856655, Average Loss  0.867849, Time  0.173771
2021-09-11 05:06:21.833798 : Epoch  3, Batch   3100, Loss  0.854169, Average Loss  0.867755, Time  0.171317
2021-09-11 05:06:23.466032 : Epoch  3, Batch   3101, Loss  0.876515, Average Loss  0.867683, Time  0.175924
2021-09-11 05:06:25.086028 : Epoch  3, Batch   3102, Loss  0.878002, Average Loss  0.867841, Time  0.170995
2021-09-11 05:06:26.719028 : Epoch  3, Batch   3103, Loss  0.848821, Average Loss  0.867892, Time  0.169702
2021-09-11 05:06:28.367738 : Epoch  3, Batch   3104, Loss  0.843646, Average Loss  0.867840, Time  0.172515
2021-09-11 05:06:29.985829 : Epoch  3, Batch   3105, Loss  0.863390, Average Loss  0.867886, Time  0.171848
2021-09-11 05:06:31.627028 : Epoch  3, Batch   3106, Loss  0.879056, Average Loss  0.867916, Time  0.184212
2021-09-11 05:06:32.092419 : CheckPoint: Validation Loss  0.00023609, Best Loss  0.00021921
2021-09-11 05:06:33.253026 : Epoch  3, Batch   3107, Loss  0.863371, Average Loss  0.867781, Time  0.179232
2021-09-11 05:06:33.640025 : Epoch  8, Batch    392, Loss  0.538783, Average Loss  0.547106, Time  0.231659
2021-09-11 05:06:34.868754 : Epoch  3, Batch   3108, Loss  0.841052, Average Loss  0.867696, Time  0.174740
2021-09-11 05:06:35.242935 : Epoch  8, Batch    393, Loss  0.535709, Average Loss  0.547047, Time  0.276483
2021-09-11 05:06:36.471933 : Epoch  3, Batch   3109, Loss  0.867273, Average Loss  0.867823, Time  0.169753
2021-09-11 05:06:36.786240 : Epoch  8, Batch    394, Loss  0.538125, Average Loss  0.546983, Time  0.235093
2021-09-11 05:06:38.103782 : Epoch  3, Batch   3110, Loss  0.881002, Average Loss  0.868004, Time  0.169961
2021-09-11 05:06:38.325906 : Epoch  8, Batch    395, Loss  0.549036, Average Loss  0.547043, Time  0.235293
2021-09-11 05:06:39.759785 : Epoch  3, Batch   3111, Loss  0.884512, Average Loss  0.868005, Time  0.179654
2021-09-11 05:06:39.963104 : Epoch  8, Batch    396, Loss  0.539729, Average Loss  0.547000, Time  0.312365
2021-09-11 05:06:41.397035 : Epoch  3, Batch   3112, Loss  0.895321, Average Loss  0.868221, Time  0.170036
2021-09-11 05:06:41.534965 : Epoch  8, Batch    397, Loss  0.559419, Average Loss  0.547059, Time  0.263197
2021-09-11 05:06:43.035763 : Epoch  3, Batch   3113, Loss  0.876676, Average Loss  0.868355, Time  0.174435
2021-09-11 05:06:43.104287 : Epoch  8, Batch    398, Loss  0.558972, Average Loss  0.547092, Time  0.234840
2021-09-11 05:06:44.697026 : Epoch  3, Batch   3114, Loss  0.870684, Average Loss  0.868499, Time  0.175217
2021-09-11 05:06:46.253917 : Epoch  8, Batch    400, Loss  0.550314, Average Loss  0.547101, Time  0.234925
2021-09-11 05:06:46.399819 : Epoch  3, Batch   3115, Loss  0.863501, Average Loss  0.868418, Time  0.176338
2021-09-11 05:06:47.787018 : Epoch  8, Batch    401, Loss  0.536852, Average Loss  0.547037, Time  0.231441
2021-09-11 05:06:48.058037 : Epoch  3, Batch   3116, Loss  0.871643, Average Loss  0.868328, Time  0.173701
2021-09-11 05:06:49.325846 : Epoch  8, Batch    402, Loss  0.541541, Average Loss  0.547009, Time  0.231141
2021-09-11 05:06:49.677752 : Epoch  3, Batch   3117, Loss  0.842296, Average Loss  0.868150, Time  0.171735
2021-09-11 05:06:50.848017 : Epoch  8, Batch    403, Loss  0.546942, Average Loss  0.546959, Time  0.231038
2021-09-11 05:06:51.331029 : Epoch  3, Batch   3118, Loss  0.865452, Average Loss  0.868096, Time  0.174499
2021-09-11 05:06:52.374902 : Epoch  8, Batch    404, Loss  0.554571, Average Loss  0.547022, Time  0.230913
2021-09-11 05:06:52.971748 : Epoch  3, Batch   3119, Loss  0.892046, Average Loss  0.868266, Time  0.170626
2021-09-11 05:06:53.891652 : Epoch  8, Batch    405, Loss  0.549504, Average Loss  0.547066, Time  0.230970
2021-09-11 05:06:54.574756 : Epoch  3, Batch   3120, Loss  0.840422, Average Loss  0.868132, Time  0.169952
2021-09-11 05:06:55.410961 : Epoch  8, Batch    406, Loss  0.536748, Average Loss  0.547025, Time  0.230982
2021-09-11 05:06:56.202033 : Epoch  3, Batch   3121, Loss  0.865608, Average Loss  0.868232, Time  0.170167
2021-09-11 05:06:56.950408 : Epoch  8, Batch    407, Loss  0.545188, Average Loss  0.546992, Time  0.233566
2021-09-11 05:06:57.862814 : Epoch  3, Batch   3122, Loss  0.878245, Average Loss  0.868274, Time  0.170416
2021-09-11 05:06:58.509873 : Epoch  8, Batch    408, Loss  0.550156, Average Loss  0.547002, Time  0.234970
2021-09-11 05:06:59.525046 : Epoch  3, Batch   3123, Loss  0.865381, Average Loss  0.868138, Time  0.178078
2021-09-11 05:07:00.104515 : Epoch  8, Batch    409, Loss  0.544519, Average Loss  0.546975, Time  0.231541
2021-09-11 05:07:01.158782 : Epoch  3, Batch   3124, Loss  0.854029, Average Loss  0.868075, Time  0.170017
2021-09-11 05:07:01.717823 : Epoch  8, Batch    410, Loss  0.554688, Average Loss  0.547033, Time  0.315827
2021-09-11 05:07:02.783740 : Epoch  3, Batch   3125, Loss  0.818948, Average Loss  0.867827, Time  0.170192
2021-09-11 05:07:03.264032 : Epoch  8, Batch    411, Loss  0.561047, Average Loss  0.547127, Time  0.234999
2021-09-11 05:07:04.427039 : Epoch  3, Batch   3126, Loss  0.860151, Average Loss  0.867704, Time  0.173651
2021-09-11 05:07:04.817896 : Epoch  8, Batch    412, Loss  0.543889, Average Loss  0.547127, Time  0.237955
2021-09-11 05:07:06.063032 : Epoch  3, Batch   3127, Loss  0.883947, Average Loss  0.867733, Time  0.177124
2021-09-11 05:07:06.446418 : Epoch  8, Batch    413, Loss  0.543426, Average Loss  0.547083, Time  0.315383
2021-09-11 05:07:07.689017 : Epoch  3, Batch   3128, Loss  0.845641, Average Loss  0.867495, Time  0.171746
2021-09-11 05:07:07.978056 : Epoch  8, Batch    414, Loss  0.546588, Average Loss  0.547048, Time  0.230743
2021-09-11 05:07:09.348031 : Epoch  3, Batch   3129, Loss  0.858612, Average Loss  0.867595, Time  0.180237
2021-09-11 05:07:09.528385 : Epoch  8, Batch    415, Loss  0.557818, Average Loss  0.547034, Time  0.238434
2021-09-11 05:07:10.994039 : Epoch  3, Batch   3130, Loss  0.906547, Average Loss  0.867843, Time  0.169901
2021-09-11 05:07:11.083491 : Epoch  8, Batch    416, Loss  0.543406, Average Loss  0.546921, Time  0.232336
2021-09-11 05:07:12.629031 : Epoch  3, Batch   3131, Loss  0.845876, Average Loss  0.867743, Time  0.176900
2021-09-11 05:07:12.630199 : Epoch  8, Batch    417, Loss  0.549700, Average Loss  0.546925, Time  0.232809
2021-09-11 05:07:14.199564 : Epoch  8, Batch    418, Loss  0.532053, Average Loss  0.546801, Time  0.230390
2021-09-11 05:07:14.247033 : Epoch  3, Batch   3132, Loss  0.854819, Average Loss  0.867668, Time  0.172984
2021-09-11 05:07:15.750408 : Epoch  8, Batch    419, Loss  0.536523, Average Loss  0.546705, Time  0.234767
2021-09-11 05:07:15.854769 : Epoch  3, Batch   3133, Loss  0.874387, Average Loss  0.867624, Time  0.173752
2021-09-11 05:07:17.282055 : Epoch  8, Batch    420, Loss  0.551960, Average Loss  0.546755, Time  0.231538
2021-09-11 05:07:17.484026 : Epoch  3, Batch   3134, Loss  0.855782, Average Loss  0.867582, Time  0.169838
2021-09-11 05:07:18.806961 : Epoch  8, Batch    421, Loss  0.545317, Average Loss  0.546726, Time  0.231024
2021-09-11 05:07:19.123034 : Epoch  3, Batch   3135, Loss  0.868528, Average Loss  0.867469, Time  0.174653
2021-09-11 05:07:20.345145 : Epoch  8, Batch    422, Loss  0.557257, Average Loss  0.546818, Time  0.231956
2021-09-11 05:07:20.760028 : Epoch  3, Batch   3136, Loss  0.892036, Average Loss  0.867680, Time  0.170801
2021-09-11 05:07:21.885395 : Epoch  8, Batch    423, Loss  0.548949, Average Loss  0.546837, Time  0.231375
2021-09-11 05:07:22.413747 : Epoch  3, Batch   3137, Loss  0.865564, Average Loss  0.867499, Time  0.174038
2021-09-11 05:07:23.463855 : Epoch  8, Batch    424, Loss  0.556212, Average Loss  0.546871, Time  0.270197
2021-09-11 05:07:24.070743 : Epoch  3, Batch   3138, Loss  0.850399, Average Loss  0.867421, Time  0.175558
2021-09-11 05:07:24.990402 : Epoch  8, Batch    425, Loss  0.551655, Average Loss  0.546888, Time  0.230539
2021-09-11 05:07:25.696872 : Epoch  3, Batch   3139, Loss  0.847729, Average Loss  0.867121, Time  0.171015
2021-09-11 05:07:26.585958 : Epoch  8, Batch    426, Loss  0.551110, Average Loss  0.546793, Time  0.235197
2021-09-11 05:07:27.304819 : Epoch  3, Batch   3140, Loss  0.856760, Average Loss  0.867072, Time  0.170140
2021-09-11 05:07:28.198370 : Epoch  8, Batch    427, Loss  0.541323, Average Loss  0.546758, Time  0.313829
2021-09-11 05:07:28.978797 : Epoch  3, Batch   3141, Loss  0.836239, Average Loss  0.867072, Time  0.170204
2021-09-11 05:07:29.744972 : Epoch  8, Batch    428, Loss  0.536200, Average Loss  0.546663, Time  0.230958
2021-09-11 05:07:30.619773 : Epoch  3, Batch   3142, Loss  0.865949, Average Loss  0.866981, Time  0.182423
2021-09-11 05:07:31.277057 : Epoch  8, Batch    429, Loss  0.554936, Average Loss  0.546644, Time  0.230907
2021-09-11 05:07:32.254854 : Epoch  3, Batch   3143, Loss  0.901499, Average Loss  0.867222, Time  0.171072
2021-09-11 05:07:32.814150 : Epoch  8, Batch    430, Loss  0.544043, Average Loss  0.546630, Time  0.231543
2021-09-11 05:07:33.906036 : Epoch  3, Batch   3144, Loss  0.856654, Average Loss  0.867178, Time  0.199172
2021-09-11 05:07:34.347407 : Epoch  8, Batch    431, Loss  0.556304, Average Loss  0.546662, Time  0.231233
2021-09-11 05:07:35.541799 : Epoch  3, Batch   3145, Loss  0.884560, Average Loss  0.867203, Time  0.170071
2021-09-11 05:07:35.887036 : Epoch  8, Batch    432, Loss  0.533430, Average Loss  0.546641, Time  0.235322
2021-09-11 05:07:37.186028 : Epoch  3, Batch   3146, Loss  0.890362, Average Loss  0.867354, Time  0.175616
2021-09-11 05:07:37.429428 : Epoch  8, Batch    433, Loss  0.551663, Average Loss  0.546711, Time  0.235470
2021-09-11 05:07:38.839035 : Epoch  3, Batch   3147, Loss  0.878221, Average Loss  0.867334, Time  0.173731
2021-09-11 05:07:38.965416 : Epoch  8, Batch    434, Loss  0.554181, Average Loss  0.546782, Time  0.231775
2021-09-11 05:07:40.494034 : Epoch  3, Batch   3148, Loss  0.866857, Average Loss  0.867435, Time  0.169736
2021-09-11 05:07:40.558429 : Epoch  8, Batch    435, Loss  0.553509, Average Loss  0.546810, Time  0.230964
2021-09-11 05:07:42.134027 : Epoch  3, Batch   3149, Loss  0.872561, Average Loss  0.867527, Time  0.172964
2021-09-11 05:07:42.142951 : Epoch  8, Batch    436, Loss  0.557797, Average Loss  0.546856, Time  0.230823
2021-09-11 05:07:43.712912 : Epoch  8, Batch    437, Loss  0.541395, Average Loss  0.546801, Time  0.237473
2021-09-11 05:07:43.759830 : Epoch  3, Batch   3150, Loss  0.858851, Average Loss  0.867646, Time  0.170943
2021-09-11 05:07:45.243083 : Epoch  8, Batch    438, Loss  0.541533, Average Loss  0.546824, Time  0.233562
2021-09-11 05:07:45.393824 : Epoch  3, Batch   3151, Loss  0.853839, Average Loss  0.867553, Time  0.179622
2021-09-11 05:07:46.781403 : Epoch  8, Batch    439, Loss  0.552102, Average Loss  0.546824, Time  0.231209
2021-09-11 05:07:47.013946 : Epoch  3, Batch   3152, Loss  0.860600, Average Loss  0.867312, Time  0.179308
2021-09-11 05:07:48.340859 : Epoch  8, Batch    440, Loss  0.554884, Average Loss  0.546814, Time  0.230916
2021-09-11 05:07:48.613040 : Epoch  3, Batch   3153, Loss  0.872800, Average Loss  0.867372, Time  0.174383
2021-09-11 05:07:49.976381 : Epoch  8, Batch    441, Loss  0.547373, Average Loss  0.546927, Time  0.313618
2021-09-11 05:07:50.206037 : Epoch  3, Batch   3154, Loss  0.894810, Average Loss  0.867658, Time  0.171391
2021-09-11 05:07:51.529920 : Epoch  8, Batch    442, Loss  0.544866, Average Loss  0.546941, Time  0.230804
2021-09-11 05:07:51.840026 : Epoch  3, Batch   3155, Loss  0.866349, Average Loss  0.867512, Time  0.178430
2021-09-11 05:07:53.052104 : Epoch  8, Batch    443, Loss  0.554384, Average Loss  0.546961, Time  0.230859
2021-09-11 05:07:53.450046 : Epoch  3, Batch   3156, Loss  0.844356, Average Loss  0.867557, Time  0.172024
2021-09-11 05:07:54.576910 : Epoch  8, Batch    444, Loss  0.552153, Average Loss  0.547003, Time  0.230852
2021-09-11 05:07:55.057037 : Epoch  3, Batch   3157, Loss  0.859149, Average Loss  0.867490, Time  0.169990
2021-09-11 05:07:56.126914 : Epoch  8, Batch    445, Loss  0.554208, Average Loss  0.547025, Time  0.234137
2021-09-11 05:07:56.686026 : Epoch  3, Batch   3158, Loss  0.871875, Average Loss  0.867421, Time  0.180737
2021-09-11 05:07:57.663909 : Epoch  8, Batch    446, Loss  0.546908, Average Loss  0.547038, Time  0.231284
2021-09-11 05:07:58.297835 : Epoch  3, Batch   3159, Loss  0.832858, Average Loss  0.867156, Time  0.174264
2021-09-11 05:07:59.194449 : Epoch  8, Batch    447, Loss  0.540662, Average Loss  0.547029, Time  0.231206
2021-09-11 05:07:59.912015 : Epoch  3, Batch   3160, Loss  0.862517, Average Loss  0.867038, Time  0.178956
2021-09-11 05:08:00.732872 : Epoch  8, Batch    448, Loss  0.544454, Average Loss  0.547025, Time  0.230871
2021-09-11 05:08:01.523824 : Epoch  3, Batch   3161, Loss  0.852931, Average Loss  0.867045, Time  0.169992
2021-09-11 05:08:02.272410 : Epoch  8, Batch    449, Loss  0.532737, Average Loss  0.546923, Time  0.231191
2021-09-11 05:08:03.198811 : Epoch  3, Batch   3162, Loss  0.908538, Average Loss  0.867226, Time  0.179790
2021-09-11 05:08:03.822308 : Epoch  8, Batch    450, Loss  0.539111, Average Loss  0.546859, Time  0.233052
2021-09-11 05:08:04.820046 : Epoch  3, Batch   3163, Loss  0.852058, Average Loss  0.867217, Time  0.171751
2021-09-11 05:08:05.357871 : Epoch  8, Batch    451, Loss  0.550925, Average Loss  0.546918, Time  0.230733
2021-09-11 05:08:06.459040 : Epoch  3, Batch   3164, Loss  0.842374, Average Loss  0.867085, Time  0.170223
2021-09-11 05:08:06.899589 : Epoch  8, Batch    452, Loss  0.548569, Average Loss  0.546993, Time  0.235388
2021-09-11 05:08:08.089851 : Epoch  3, Batch   3165, Loss  0.885223, Average Loss  0.867099, Time  0.169904
2021-09-11 05:08:08.458361 : Epoch  8, Batch    453, Loss  0.552034, Average Loss  0.547071, Time  0.230993
2021-09-11 05:08:09.734036 : Epoch  3, Batch   3166, Loss  0.884142, Average Loss  0.867343, Time  0.174791
2021-09-11 05:08:10.004113 : Epoch  8, Batch    454, Loss  0.535136, Average Loss  0.546978, Time  0.231529
2021-09-11 05:08:11.368840 : Epoch  3, Batch   3167, Loss  0.896699, Average Loss  0.867599, Time  0.174541
2021-09-11 05:08:11.651832 : Epoch  8, Batch    455, Loss  0.561808, Average Loss  0.547072, Time  0.312442
2021-09-11 05:08:12.990722 : Epoch  3, Batch   3168, Loss  0.871308, Average Loss  0.867539, Time  0.169904
2021-09-11 05:08:13.236107 : Epoch  8, Batch    456, Loss  0.540637, Average Loss  0.547030, Time  0.231091
2021-09-11 05:08:14.600868 : Epoch  3, Batch   3169, Loss  0.889878, Average Loss  0.867663, Time  0.169982
2021-09-11 05:08:14.760880 : Epoch  8, Batch    457, Loss  0.554636, Average Loss  0.547080, Time  0.231428
2021-09-11 05:08:16.245767 : Epoch  3, Batch   3170, Loss  0.884401, Average Loss  0.867683, Time  0.177339
2021-09-11 05:08:16.368797 : Epoch  8, Batch    458, Loss  0.547187, Average Loss  0.547104, Time  0.311560
2021-09-11 05:08:17.863766 : Epoch  3, Batch   3171, Loss  0.885264, Average Loss  0.867763, Time  0.171665
2021-09-11 05:08:17.899151 : Epoch  8, Batch    459, Loss  0.548422, Average Loss  0.547064, Time  0.234751
2021-09-11 05:08:19.417821 : Epoch  8, Batch    460, Loss  0.548985, Average Loss  0.547094, Time  0.231806
2021-09-11 05:08:19.499850 : Epoch  3, Batch   3172, Loss  0.892999, Average Loss  0.867918, Time  0.175018
2021-09-11 05:08:20.938884 : Epoch  8, Batch    461, Loss  0.565381, Average Loss  0.547201, Time  0.230943
2021-09-11 05:08:21.138772 : Epoch  3, Batch   3173, Loss  0.886932, Average Loss  0.868093, Time  0.184997
2021-09-11 05:08:22.763946 : Epoch  3, Batch   3174, Loss  0.884862, Average Loss  0.868213, Time  0.175543
2021-09-11 05:08:24.385031 : Epoch  3, Batch   3175, Loss  0.872732, Average Loss  0.868227, Time  0.171323
2021-09-11 05:08:24.849849 : Epoch  8, Batch    462, Loss  0.543367, Average Loss  0.547174, Time  0.233539
2021-09-11 05:08:26.032041 : Epoch  3, Batch   3176, Loss  0.851787, Average Loss  0.868096, Time  0.188758
2021-09-11 05:08:26.380409 : Epoch  8, Batch    463, Loss  0.548303, Average Loss  0.547158, Time  0.231267
2021-09-11 05:08:27.674745 : Epoch  3, Batch   3177, Loss  0.854868, Average Loss  0.868000, Time  0.176725
2021-09-11 05:08:27.938942 : Epoch  8, Batch    464, Loss  0.538822, Average Loss  0.547095, Time  0.236718
2021-09-11 05:08:29.312030 : Epoch  3, Batch   3178, Loss  0.883205, Average Loss  0.868160, Time  0.179189
2021-09-11 05:08:29.515029 : Epoch  8, Batch    465, Loss  0.557246, Average Loss  0.547119, Time  0.234773
2021-09-11 05:08:31.056995 : Epoch  8, Batch    466, Loss  0.549173, Average Loss  0.547129, Time  0.232132
2021-09-11 05:08:32.619397 : Epoch  8, Batch    467, Loss  0.550087, Average Loss  0.547177, Time  0.233618
2021-09-11 05:08:34.180894 : Epoch  8, Batch    468, Loss  0.556616, Average Loss  0.547191, Time  0.233002
2021-09-11 05:08:35.784422 : Epoch  8, Batch    469, Loss  0.551749, Average Loss  0.547250, Time  0.288594
2021-09-11 05:08:37.419232 : Epoch  8, Batch    470, Loss  0.543708, Average Loss  0.547312, Time  0.230879
2021-09-11 05:08:38.959010 : Epoch  8, Batch    471, Loss  0.555857, Average Loss  0.547356, Time  0.234160
2021-09-11 05:08:40.590916 : Epoch  8, Batch    472, Loss  0.548842, Average Loss  0.547351, Time  0.312818
2021-09-11 05:08:42.130825 : Epoch  8, Batch    473, Loss  0.547056, Average Loss  0.547349, Time  0.234517
2021-09-11 05:08:43.671400 : Epoch  8, Batch    474, Loss  0.553711, Average Loss  0.547368, Time  0.234344
2021-09-11 05:08:45.212054 : Epoch  8, Batch    475, Loss  0.533728, Average Loss  0.547243, Time  0.238442
2021-09-11 05:08:46.764965 : Epoch  8, Batch    476, Loss  0.550487, Average Loss  0.547298, Time  0.230873
2021-09-11 05:08:48.303139 : Epoch  8, Batch    477, Loss  0.560822, Average Loss  0.547389, Time  0.233259
2021-09-11 05:08:49.842863 : Epoch  8, Batch    478, Loss  0.543717, Average Loss  0.547348, Time  0.235163
2021-09-11 05:08:51.392401 : Epoch  8, Batch    479, Loss  0.548654, Average Loss  0.547412, Time  0.231124
2021-09-11 05:08:52.935059 : Epoch  8, Batch    480, Loss  0.545183, Average Loss  0.547475, Time  0.230999
2021-09-11 05:08:54.482047 : Epoch  8, Batch    481, Loss  0.558885, Average Loss  0.547562, Time  0.232272
2021-09-11 05:08:56.046860 : Epoch  8, Batch    482, Loss  0.547176, Average Loss  0.547568, Time  0.231467
2021-09-11 05:08:57.587392 : Epoch  8, Batch    483, Loss  0.541957, Average Loss  0.547585, Time  0.231185
2021-09-11 05:08:58.857713 : CheckPoint: Validation Loss  0.00029375, Best Loss  0.00029375
2021-09-11 05:08:58.913564 : Best Model Updated
2021-09-11 05:08:59.131873 : Epoch  8, Batch    484, Loss  0.567810, Average Loss  0.547671, Time  0.232779
2021-09-11 05:09:00.677054 : Epoch  8, Batch    485, Loss  0.553767, Average Loss  0.547706, Time  0.234875
2021-09-11 05:09:02.216078 : Epoch  8, Batch    486, Loss  0.547673, Average Loss  0.547659, Time  0.232589
2021-09-11 05:09:02.760263 : Epoch  2, Batch    645, Loss  0.901141, Average Loss  0.871289, Time  0.246772
2021-09-11 05:09:03.761836 : Epoch  8, Batch    487, Loss  0.544735, Average Loss  0.547653, Time  0.230748
2021-09-11 05:09:05.525255 : Epoch  8, Batch    488, Loss  0.551887, Average Loss  0.547647, Time  0.441652
2021-09-11 05:09:05.566983 : Epoch  2, Batch    646, Loss  0.894788, Average Loss  0.871365, Time  0.398099
2021-09-11 05:09:07.072425 : Epoch  8, Batch    489, Loss  0.540101, Average Loss  0.547603, Time  0.244632
2021-09-11 05:09:08.172366 : Epoch  2, Batch    647, Loss  0.863950, Average Loss  0.871317, Time  0.242543
2021-09-11 05:09:08.617571 : Epoch  8, Batch    490, Loss  0.550570, Average Loss  0.547578, Time  0.231331
2021-09-11 05:09:10.786884 : Epoch  2, Batch    648, Loss  0.870713, Average Loss  0.871296, Time  0.243053
2021-09-11 05:09:12.614122 : Epoch  8, Batch    491, Loss  0.551039, Average Loss  0.547596, Time  0.231677
2021-09-11 05:09:13.396483 : Epoch  2, Batch    649, Loss  0.879685, Average Loss  0.871394, Time  0.244213
2021-09-11 05:09:15.989434 : Epoch  2, Batch    650, Loss  0.866343, Average Loss  0.871303, Time  0.240449
2021-09-11 05:09:18.603893 : Epoch  2, Batch    651, Loss  0.854944, Average Loss  0.871274, Time  0.242915
2021-09-11 05:09:21.212050 : Epoch  2, Batch    652, Loss  0.879612, Average Loss  0.871259, Time  0.242203
2021-09-11 05:09:23.869926 : Epoch  2, Batch    653, Loss  0.868666, Average Loss  0.871244, Time  0.240716
2021-09-11 05:09:26.662268 : Epoch  2, Batch    654, Loss  0.857922, Average Loss  0.871235, Time  0.327590
2021-09-11 05:09:29.406998 : Epoch  2, Batch    655, Loss  0.864248, Average Loss  0.871120, Time  0.320938
2021-09-11 05:09:32.163946 : Epoch  2, Batch    656, Loss  0.851676, Average Loss  0.871080, Time  0.324908
2021-09-11 05:09:34.892235 : Epoch  2, Batch    657, Loss  0.870361, Average Loss  0.870985, Time  0.323996
2021-09-11 05:09:37.656166 : Epoch  2, Batch    658, Loss  0.848197, Average Loss  0.870878, Time  0.321733
2021-09-11 05:09:40.388406 : Epoch  2, Batch    659, Loss  0.868064, Average Loss  0.870925, Time  0.320710
2021-09-11 05:09:43.105021 : Epoch  2, Batch    660, Loss  0.862696, Average Loss  0.870912, Time  0.329928
2021-09-11 05:09:45.824489 : Epoch  2, Batch    661, Loss  0.878503, Average Loss  0.870900, Time  0.320946
2021-09-11 05:09:48.543439 : Epoch  2, Batch    662, Loss  0.855076, Average Loss  0.870785, Time  0.319756
2021-09-11 05:09:51.261010 : Epoch  2, Batch    663, Loss  0.866073, Average Loss  0.870852, Time  0.311274
2021-09-11 05:09:53.900235 : Epoch  2, Batch    664, Loss  0.846565, Average Loss  0.870756, Time  0.246607
2021-09-11 05:09:56.624799 : Epoch  2, Batch    665, Loss  0.867191, Average Loss  0.870715, Time  0.268386
2021-09-11 05:09:59.315967 : Epoch  2, Batch    666, Loss  0.874474, Average Loss  0.870660, Time  0.240359
2021-09-11 05:10:01.961256 : Epoch  2, Batch    667, Loss  0.862426, Average Loss  0.870570, Time  0.239962
2021-09-11 05:10:04.604190 : Epoch  2, Batch    668, Loss  0.870560, Average Loss  0.870642, Time  0.239271
2021-09-11 05:10:07.240993 : Epoch  2, Batch    669, Loss  0.854912, Average Loss  0.870630, Time  0.238846
2021-09-11 05:10:09.896253 : Epoch  2, Batch    670, Loss  0.852713, Average Loss  0.870517, Time  0.244572
2021-09-11 05:10:09.936770 : CheckPoint: Validation Loss  0.00023084, Best Loss  0.00021921
2021-09-11 05:10:11.438008 : Epoch  8, Batch    492, Loss  0.557391, Average Loss  0.547674, Time  0.231330
2021-09-11 05:10:12.606706 : Epoch  2, Batch    671, Loss  0.881795, Average Loss  0.870466, Time  0.265124
2021-09-11 05:10:12.971053 : Epoch  8, Batch    493, Loss  0.544754, Average Loss  0.547724, Time  0.232501
2021-09-11 05:10:14.511898 : Epoch  8, Batch    494, Loss  0.551586, Average Loss  0.547767, Time  0.234676
2021-09-11 05:10:15.291479 : Epoch  2, Batch    672, Loss  0.867741, Average Loss  0.870494, Time  0.241099
2021-09-11 05:10:16.044939 : Epoch  8, Batch    495, Loss  0.547651, Average Loss  0.547761, Time  0.232194
2021-09-11 05:10:17.604962 : Epoch  8, Batch    496, Loss  0.549494, Average Loss  0.547758, Time  0.233464
2021-09-11 05:10:17.931122 : Epoch  2, Batch    673, Loss  0.888029, Average Loss  0.870579, Time  0.243542
2021-09-11 05:10:19.174385 : Epoch  8, Batch    497, Loss  0.536687, Average Loss  0.547699, Time  0.232093
2021-09-11 05:10:20.762106 : Epoch  2, Batch    674, Loss  0.888113, Average Loss  0.870708, Time  0.396202
2021-09-11 05:10:20.824970 : Epoch  8, Batch    498, Loss  0.565765, Average Loss  0.547800, Time  0.330812
2021-09-11 05:10:22.356932 : Epoch  8, Batch    499, Loss  0.538329, Average Loss  0.547758, Time  0.233268
2021-09-11 05:10:23.405774 : Epoch  2, Batch    675, Loss  0.898533, Average Loss  0.870712, Time  0.244472
2021-09-11 05:10:23.913133 : Epoch  8, Batch    500, Loss  0.552872, Average Loss  0.547821, Time  0.237235
2021-09-11 05:10:25.449861 : Epoch  8, Batch    501, Loss  0.548689, Average Loss  0.547853, Time  0.230968
2021-09-11 05:10:26.015765 : Epoch  2, Batch    676, Loss  0.891694, Average Loss  0.870766, Time  0.239019
2021-09-11 05:10:26.987908 : Epoch  8, Batch    502, Loss  0.543428, Average Loss  0.547878, Time  0.231887
2021-09-11 05:10:28.684411 : Epoch  8, Batch    503, Loss  0.544871, Average Loss  0.547797, Time  0.390455
2021-09-11 05:10:28.753900 : Epoch  2, Batch    677, Loss  0.874406, Average Loss  0.870723, Time  0.341790
2021-09-11 05:10:30.227052 : Epoch  8, Batch    504, Loss  0.548408, Average Loss  0.547759, Time  0.234030
2021-09-11 05:10:31.352348 : Epoch  2, Batch    678, Loss  0.863909, Average Loss  0.870808, Time  0.241966
2021-09-11 05:10:31.751373 : Epoch  8, Batch    505, Loss  0.546817, Average Loss  0.547775, Time  0.230468
2021-09-11 05:10:33.294393 : Epoch  8, Batch    506, Loss  0.552196, Average Loss  0.547780, Time  0.236534
2021-09-11 05:10:34.069507 : Epoch  2, Batch    679, Loss  0.876675, Average Loss  0.870857, Time  0.262196
2021-09-11 05:10:34.838357 : Epoch  8, Batch    507, Loss  0.555622, Average Loss  0.547866, Time  0.234825
2021-09-11 05:10:36.391202 : Epoch  8, Batch    508, Loss  0.540880, Average Loss  0.547830, Time  0.234894
2021-09-11 05:10:36.750735 : Epoch  2, Batch    680, Loss  0.850591, Average Loss  0.870771, Time  0.257980
2021-09-11 05:10:37.934124 : Epoch  8, Batch    509, Loss  0.543440, Average Loss  0.547842, Time  0.231021
2021-09-11 05:10:39.579843 : Epoch  2, Batch    681, Loss  0.865556, Average Loss  0.870746, Time  0.436839
2021-09-11 05:10:39.635405 : Epoch  8, Batch    510, Loss  0.538301, Average Loss  0.547776, Time  0.366959
2021-09-11 05:10:41.144897 : Epoch  8, Batch    511, Loss  0.544011, Average Loss  0.547829, Time  0.231208
2021-09-11 05:10:42.219908 : Epoch  2, Batch    682, Loss  0.867501, Average Loss  0.870777, Time  0.263255
2021-09-11 05:10:42.682128 : Epoch  8, Batch    512, Loss  0.549634, Average Loss  0.547839, Time  0.235065
2021-09-11 05:10:44.208404 : Epoch  8, Batch    513, Loss  0.549309, Average Loss  0.547897, Time  0.233089
2021-09-11 05:10:44.854921 : Epoch  2, Batch    683, Loss  0.870609, Average Loss  0.870756, Time  0.243564
2021-09-11 05:10:45.765011 : Epoch  8, Batch    514, Loss  0.546250, Average Loss  0.547937, Time  0.242784
2021-09-11 05:10:47.320059 : Epoch  8, Batch    515, Loss  0.552426, Average Loss  0.547909, Time  0.265662
2021-09-11 05:10:47.504057 : Epoch  2, Batch    684, Loss  0.844626, Average Loss  0.870697, Time  0.255270
2021-09-11 05:10:48.863419 : Epoch  8, Batch    516, Loss  0.539473, Average Loss  0.547855, Time  0.230715
2021-09-11 05:10:50.152024 : Epoch  2, Batch    685, Loss  0.873748, Average Loss  0.870767, Time  0.242350
2021-09-11 05:10:50.408161 : Epoch  8, Batch    517, Loss  0.557153, Average Loss  0.547833, Time  0.232525
2021-09-11 05:10:51.974825 : Epoch  8, Batch    518, Loss  0.534691, Average Loss  0.547774, Time  0.234517
2021-09-11 05:10:52.797876 : Epoch  2, Batch    686, Loss  0.846335, Average Loss  0.870521, Time  0.240252
2021-09-11 05:10:53.522297 : Epoch  8, Batch    519, Loss  0.550117, Average Loss  0.547842, Time  0.231878
2021-09-11 05:10:55.081865 : Epoch  8, Batch    520, Loss  0.539747, Average Loss  0.547775, Time  0.235510
2021-09-11 05:10:55.475792 : Epoch  2, Batch    687, Loss  0.883242, Average Loss  0.870569, Time  0.243984
2021-09-11 05:10:56.627369 : Epoch  8, Batch    521, Loss  0.550872, Average Loss  0.547793, Time  0.236313
2021-09-11 05:10:58.361998 : Epoch  8, Batch    522, Loss  0.541031, Average Loss  0.547756, Time  0.414509
2021-09-11 05:10:58.417649 : Epoch  2, Batch    688, Loss  0.852989, Average Loss  0.870431, Time  0.472312
2021-09-11 05:10:59.920378 : Epoch  8, Batch    523, Loss  0.545037, Average Loss  0.547742, Time  0.233651
2021-09-11 05:11:01.073350 : Epoch  2, Batch    689, Loss  0.860245, Average Loss  0.870350, Time  0.239643
2021-09-11 05:11:01.486417 : Epoch  8, Batch    524, Loss  0.540886, Average Loss  0.547649, Time  0.240507
2021-09-11 05:11:03.030877 : Epoch  8, Batch    525, Loss  0.549984, Average Loss  0.547631, Time  0.233031
2021-09-11 05:11:03.737447 : Epoch  2, Batch    690, Loss  0.872391, Average Loss  0.870383, Time  0.244226
2021-09-11 05:11:04.574237 : Epoch  8, Batch    526, Loss  0.545293, Average Loss  0.547677, Time  0.231034
2021-09-11 05:11:06.107855 : Epoch  8, Batch    527, Loss  0.538369, Average Loss  0.547567, Time  0.231831
2021-09-11 05:11:06.386825 : Epoch  2, Batch    691, Loss  0.884744, Average Loss  0.870385, Time  0.263877
2021-09-11 05:11:07.645093 : Epoch  8, Batch    528, Loss  0.540954, Average Loss  0.547551, Time  0.230996
2021-09-11 05:11:09.007937 : Epoch  2, Batch    692, Loss  0.848024, Average Loss  0.870324, Time  0.245840
2021-09-11 05:11:09.228201 : Epoch  8, Batch    529, Loss  0.549743, Average Loss  0.547518, Time  0.233654
2021-09-11 05:11:10.757396 : Epoch  8, Batch    530, Loss  0.533879, Average Loss  0.547436, Time  0.230678
2021-09-11 05:11:11.709821 : Epoch  2, Batch    693, Loss  0.877597, Average Loss  0.870431, Time  0.263115
2021-09-11 05:11:12.286402 : Epoch  8, Batch    531, Loss  0.542067, Average Loss  0.547332, Time  0.233378
2021-09-11 05:11:13.829003 : Epoch  8, Batch    532, Loss  0.540864, Average Loss  0.547331, Time  0.232316
2021-09-11 05:11:14.436131 : Epoch  2, Batch    694, Loss  0.870123, Average Loss  0.870356, Time  0.263411
2021-09-11 05:11:15.375434 : Epoch  8, Batch    533, Loss  0.548399, Average Loss  0.547348, Time  0.231119
2021-09-11 05:11:16.905878 : Epoch  8, Batch    534, Loss  0.556603, Average Loss  0.547347, Time  0.230838
2021-09-11 05:11:17.162820 : Epoch  2, Batch    695, Loss  0.885486, Average Loss  0.870478, Time  0.260472
2021-09-11 05:11:18.443113 : Epoch  8, Batch    535, Loss  0.548216, Average Loss  0.547361, Time  0.230885
2021-09-11 05:11:19.884236 : Epoch  2, Batch    696, Loss  0.876999, Average Loss  0.870616, Time  0.262972
2021-09-11 05:11:20.425404 : Epoch  8, Batch    536, Loss  0.545314, Average Loss  0.547345, Time  0.233832
2021-09-11 05:11:21.974664 : Epoch  8, Batch    537, Loss  0.541666, Average Loss  0.547264, Time  0.230741
2021-09-11 05:11:22.517852 : Epoch  2, Batch    697, Loss  0.893625, Average Loss  0.870782, Time  0.258958
2021-09-11 05:11:23.521901 : Epoch  8, Batch    538, Loss  0.563558, Average Loss  0.547332, Time  0.232061
2021-09-11 05:11:25.280658 : Epoch  8, Batch    539, Loss  0.551273, Average Loss  0.547299, Time  0.434698
2021-09-11 05:11:25.332177 : Epoch  2, Batch    698, Loss  0.876445, Average Loss  0.870732, Time  0.366944
2021-09-11 05:11:26.831392 : Epoch  8, Batch    540, Loss  0.550277, Average Loss  0.547282, Time  0.231122
2021-09-11 05:11:28.026112 : Epoch  2, Batch    699, Loss  0.866650, Average Loss  0.870827, Time  0.265883
2021-09-11 05:11:28.362023 : Epoch  8, Batch    541, Loss  0.545197, Average Loss  0.547305, Time  0.232000
2021-09-11 05:11:29.895401 : Epoch  8, Batch    542, Loss  0.559610, Average Loss  0.547341, Time  0.231518
2021-09-11 05:11:30.709115 : Epoch  2, Batch    700, Loss  0.872283, Average Loss  0.870835, Time  0.260538
2021-09-11 05:11:31.432373 : Epoch  8, Batch    543, Loss  0.542898, Average Loss  0.547364, Time  0.230923
2021-09-11 05:11:32.965451 : Epoch  8, Batch    544, Loss  0.528611, Average Loss  0.547262, Time  0.237206
2021-09-11 05:11:33.382016 : Epoch  2, Batch    701, Loss  0.867865, Average Loss  0.870897, Time  0.241073
2021-09-11 05:11:34.506033 : Epoch  8, Batch    545, Loss  0.543562, Average Loss  0.547231, Time  0.231182
2021-09-11 05:11:36.219920 : Epoch  8, Batch    546, Loss  0.541937, Average Loss  0.547223, Time  0.412391
2021-09-11 05:11:36.276823 : Epoch  2, Batch    702, Loss  0.857922, Average Loss  0.870881, Time  0.469765
2021-09-11 05:11:37.773442 : Epoch  8, Batch    547, Loss  0.535561, Average Loss  0.547125, Time  0.233532
2021-09-11 05:11:38.869116 : Epoch  2, Batch    703, Loss  0.876473, Average Loss  0.870951, Time  0.240051
2021-09-11 05:11:39.334037 : Epoch  8, Batch    548, Loss  0.535750, Average Loss  0.547145, Time  0.232436
2021-09-11 05:11:40.914149 : Epoch  8, Batch    549, Loss  0.538515, Average Loss  0.547073, Time  0.232303
2021-09-11 05:11:41.571146 : Epoch  2, Batch    704, Loss  0.866004, Average Loss  0.871002, Time  0.262191
2021-09-11 05:11:42.468247 : Epoch  8, Batch    550, Loss  0.531512, Average Loss  0.547013, Time  0.234893
2021-09-11 05:11:44.012431 : Epoch  8, Batch    551, Loss  0.556249, Average Loss  0.547027, Time  0.232079
2021-09-11 05:11:44.293430 : Epoch  2, Batch    705, Loss  0.879492, Average Loss  0.871011, Time  0.263616
2021-09-11 05:11:45.556131 : Epoch  8, Batch    552, Loss  0.572743, Average Loss  0.547149, Time  0.231273
2021-09-11 05:11:47.160081 : Epoch  2, Batch    706, Loss  0.854733, Average Loss  0.870890, Time  0.418126
2021-09-11 05:11:47.207891 : Epoch  8, Batch    553, Loss  0.553421, Average Loss  0.547166, Time  0.334059
2021-09-11 05:11:48.734399 : Epoch  8, Batch    554, Loss  0.551672, Average Loss  0.547194, Time  0.230881
2021-09-11 05:11:49.775136 : Epoch  2, Batch    707, Loss  0.847161, Average Loss  0.870758, Time  0.241696
2021-09-11 05:11:50.268007 : Epoch  8, Batch    555, Loss  0.535053, Average Loss  0.547118, Time  0.238626
2021-09-11 05:11:51.811170 : Epoch  8, Batch    556, Loss  0.540119, Average Loss  0.547053, Time  0.239047
2021-09-11 05:11:52.530195 : Epoch  2, Batch    708, Loss  0.848644, Average Loss  0.870698, Time  0.240604
2021-09-11 05:11:53.364128 : Epoch  8, Batch    557, Loss  0.554945, Average Loss  0.547126, Time  0.233406
2021-09-11 05:11:54.921409 : Epoch  8, Batch    558, Loss  0.545268, Average Loss  0.547104, Time  0.233671
2021-09-11 05:11:55.156441 : Epoch  2, Batch    709, Loss  0.877981, Average Loss  0.870708, Time  0.247516
2021-09-11 05:11:56.475230 : Epoch  8, Batch    559, Loss  0.542645, Average Loss  0.547074, Time  0.236994
2021-09-11 05:11:57.783917 : Epoch  2, Batch    710, Loss  0.867855, Average Loss  0.870651, Time  0.246490
2021-09-11 05:11:58.012868 : Epoch  8, Batch    560, Loss  0.551944, Average Loss  0.547080, Time  0.233196
2021-09-11 05:11:59.554363 : Epoch  8, Batch    561, Loss  0.559936, Average Loss  0.547150, Time  0.233947
2021-09-11 05:12:00.457672 : Epoch  2, Batch    711, Loss  0.866609, Average Loss  0.870691, Time  0.241275
2021-09-11 05:12:03.168439 : Epoch  2, Batch    712, Loss  0.863470, Average Loss  0.870697, Time  0.264174
2021-09-11 05:12:03.504050 : Epoch  8, Batch    562, Loss  0.541547, Average Loss  0.547163, Time  0.231342
2021-09-11 05:12:05.046991 : Epoch  8, Batch    563, Loss  0.554028, Average Loss  0.547245, Time  0.233094
2021-09-11 05:12:05.879133 : Epoch  2, Batch    713, Loss  0.888344, Average Loss  0.870714, Time  0.248571
2021-09-11 05:12:06.590890 : Epoch  8, Batch    564, Loss  0.542208, Average Loss  0.547247, Time  0.231583
2021-09-11 05:12:08.134938 : Epoch  8, Batch    565, Loss  0.549911, Average Loss  0.547280, Time  0.234482
2021-09-11 05:12:08.486788 : Epoch  2, Batch    714, Loss  0.870030, Average Loss  0.870766, Time  0.239116
2021-09-11 05:12:09.675965 : Epoch  8, Batch    566, Loss  0.554397, Average Loss  0.547374, Time  0.232013
2021-09-11 05:12:11.244969 : Epoch  2, Batch    715, Loss  0.864397, Average Loss  0.870696, Time  0.390817
2021-09-11 05:12:11.303261 : Epoch  8, Batch    567, Loss  0.543546, Average Loss  0.547355, Time  0.323858
2021-09-11 05:12:12.850341 : Epoch  8, Batch    568, Loss  0.528763, Average Loss  0.547246, Time  0.232926
2021-09-11 05:12:13.962873 : Epoch  2, Batch    716, Loss  0.862243, Average Loss  0.870582, Time  0.267859
2021-09-11 05:12:14.396118 : Epoch  8, Batch    569, Loss  0.538347, Average Loss  0.547226, Time  0.238928
2021-09-11 05:12:15.942917 : Epoch  8, Batch    570, Loss  0.535855, Average Loss  0.547164, Time  0.231091
2021-09-11 05:12:16.673217 : Epoch  2, Batch    717, Loss  0.863298, Average Loss  0.870563, Time  0.258815
2021-09-11 05:12:17.491096 : Epoch  8, Batch    571, Loss  0.541362, Average Loss  0.547147, Time  0.230823
2021-09-11 05:12:19.049884 : Epoch  8, Batch    572, Loss  0.540560, Average Loss  0.547104, Time  0.231390
2021-09-11 05:12:19.390005 : Epoch  2, Batch    718, Loss  0.858246, Average Loss  0.870466, Time  0.268375
2021-09-11 05:12:20.592340 : Epoch  8, Batch    573, Loss  0.548611, Average Loss  0.547157, Time  0.235523
2021-09-11 05:12:22.271428 : Epoch  8, Batch    574, Loss  0.562111, Average Loss  0.547190, Time  0.370686
2021-09-11 05:12:22.326051 : Epoch  2, Batch    719, Loss  0.893272, Average Loss  0.870617, Time  0.459252
2021-09-11 05:12:23.810008 : Epoch  8, Batch    575, Loss  0.546182, Average Loss  0.547177, Time  0.231256
2021-09-11 05:12:24.923868 : Epoch  2, Batch    720, Loss  0.860482, Average Loss  0.870439, Time  0.243957
2021-09-11 05:12:25.354270 : Epoch  8, Batch    576, Loss  0.545486, Average Loss  0.547156, Time  0.230887
2021-09-11 05:12:26.886391 : Epoch  8, Batch    577, Loss  0.536513, Average Loss  0.547121, Time  0.235839
2021-09-11 05:12:27.525860 : Epoch  2, Batch    721, Loss  0.866674, Average Loss  0.870363, Time  0.243576
2021-09-11 05:12:28.433056 : Epoch  8, Batch    578, Loss  0.564018, Average Loss  0.547211, Time  0.230863
2021-09-11 05:12:30.094415 : Epoch  8, Batch    579, Loss  0.548846, Average Loss  0.547250, Time  0.352314
2021-09-11 05:12:30.195795 : Epoch  2, Batch    722, Loss  0.872107, Average Loss  0.870376, Time  0.301867
2021-09-11 05:12:31.641907 : Epoch  8, Batch    580, Loss  0.546720, Average Loss  0.547275, Time  0.233544
2021-09-11 05:12:32.804311 : Epoch  2, Batch    723, Loss  0.852325, Average Loss  0.870320, Time  0.243605
2021-09-11 05:12:33.213145 : Epoch  8, Batch    581, Loss  0.535872, Average Loss  0.547146, Time  0.231578
2021-09-11 05:12:34.764017 : Epoch  8, Batch    582, Loss  0.540790, Average Loss  0.547087, Time  0.230918
2021-09-11 05:12:35.517003 : Epoch  2, Batch    724, Loss  0.869525, Average Loss  0.870338, Time  0.265820
2021-09-11 05:12:36.309863 : Epoch  8, Batch    583, Loss  0.554165, Average Loss  0.547223, Time  0.233524
2021-09-11 05:12:37.846431 : Epoch  8, Batch    584, Loss  0.546073, Average Loss  0.547227, Time  0.230731
2021-09-11 05:12:38.206824 : Epoch  2, Batch    725, Loss  0.882739, Average Loss  0.870409, Time  0.262591
2021-09-11 05:12:39.381108 : Epoch  8, Batch    585, Loss  0.546939, Average Loss  0.547284, Time  0.231158
2021-09-11 05:12:41.078859 : Epoch  2, Batch    726, Loss  0.877814, Average Loss  0.870400, Time  0.447367
2021-09-11 05:12:41.122149 : Epoch  8, Batch    586, Loss  0.547613, Average Loss  0.547315, Time  0.402839
2021-09-11 05:12:42.642380 : Epoch  8, Batch    587, Loss  0.548562, Average Loss  0.547304, Time  0.237354
2021-09-11 05:12:43.683389 : Epoch  2, Batch    727, Loss  0.875177, Average Loss  0.870501, Time  0.242378
2021-09-11 05:12:44.276812 : Epoch  8, Batch    588, Loss  0.549287, Average Loss  0.547349, Time  0.235570
2021-09-11 05:12:45.834381 : Epoch  8, Batch    589, Loss  0.547278, Average Loss  0.547322, Time  0.233238
2021-09-11 05:12:46.305114 : Epoch  2, Batch    728, Loss  0.867720, Average Loss  0.870485, Time  0.243731
2021-09-11 05:12:47.422746 : Epoch  8, Batch    590, Loss  0.539429, Average Loss  0.547331, Time  0.234499
2021-09-11 05:12:49.116175 : Epoch  8, Batch    591, Loss  0.542754, Average Loss  0.547258, Time  0.394871
2021-09-11 05:12:49.161914 : Epoch  2, Batch    729, Loss  0.875562, Average Loss  0.870513, Time  0.447389
2021-09-11 05:12:51.780546 : Epoch  2, Batch    730, Loss  0.852914, Average Loss  0.870483, Time  0.245485
2021-09-11 05:12:54.499215 : Epoch  2, Batch    731, Loss  0.885517, Average Loss  0.870519, Time  0.259319
2021-09-11 05:12:57.114471 : Epoch  2, Batch    732, Loss  0.877078, Average Loss  0.870508, Time  0.246011
2021-09-11 05:12:59.721783 : Epoch  2, Batch    733, Loss  0.863513, Average Loss  0.870497, Time  0.242862
2021-09-11 05:13:02.349773 : Epoch  2, Batch    734, Loss  0.860656, Average Loss  0.870528, Time  0.258566
2021-09-11 05:13:05.005867 : Epoch  2, Batch    735, Loss  0.883115, Average Loss  0.870644, Time  0.290318
2021-09-11 05:13:07.690503 : Epoch  2, Batch    736, Loss  0.869387, Average Loss  0.870685, Time  0.329450
2021-09-11 05:13:09.215713 : CheckPoint: Validation Loss  0.00062021, Best Loss  0.00057296
2021-09-11 05:13:10.376243 : Epoch  2, Batch    737, Loss  0.864591, Average Loss  0.870724, Time  0.323982
2021-09-11 05:13:10.841869 : Epoch  3, Batch   3179, Loss  0.872474, Average Loss  0.868192, Time  0.177779
2021-09-11 05:13:12.477734 : Epoch  3, Batch   3180, Loss  0.904751, Average Loss  0.868397, Time  0.173092
2021-09-11 05:13:13.055053 : Epoch  2, Batch    738, Loss  0.874410, Average Loss  0.870741, Time  0.324037
2021-09-11 05:13:14.135823 : Epoch  3, Batch   3181, Loss  0.868396, Average Loss  0.868345, Time  0.173251
2021-09-11 05:13:15.773786 : Epoch  3, Batch   3182, Loss  0.877168, Average Loss  0.868400, Time  0.173093
2021-09-11 05:13:15.851850 : Epoch  2, Batch    739, Loss  0.861822, Average Loss  0.870715, Time  0.351453
2021-09-11 05:13:17.397058 : Epoch  3, Batch   3183, Loss  0.871924, Average Loss  0.868502, Time  0.170155
2021-09-11 05:13:18.555034 : Epoch  2, Batch    740, Loss  0.876297, Average Loss  0.870721, Time  0.325068
2021-09-11 05:13:19.015041 : Epoch  3, Batch   3184, Loss  0.897064, Average Loss  0.868685, Time  0.170801
2021-09-11 05:13:20.644971 : Epoch  3, Batch   3185, Loss  0.875677, Average Loss  0.868688, Time  0.175599
2021-09-11 05:13:21.289453 : Epoch  2, Batch    741, Loss  0.868564, Average Loss  0.870748, Time  0.316928
2021-09-11 05:13:22.267759 : Epoch  3, Batch   3186, Loss  0.858849, Average Loss  0.868653, Time  0.172724
2021-09-11 05:13:23.958050 : Epoch  3, Batch   3187, Loss  0.861916, Average Loss  0.868672, Time  0.176318
2021-09-11 05:13:24.076476 : Epoch  2, Batch    742, Loss  0.871899, Average Loss  0.870874, Time  0.349328
2021-09-11 05:13:25.583671 : Epoch  3, Batch   3188, Loss  0.891492, Average Loss  0.868690, Time  0.170236
2021-09-11 05:13:26.851506 : Epoch  2, Batch    743, Loss  0.897363, Average Loss  0.870984, Time  0.311346
2021-09-11 05:13:27.187948 : Epoch  3, Batch   3189, Loss  0.838357, Average Loss  0.868500, Time  0.175418
2021-09-11 05:13:28.816935 : Epoch  3, Batch   3190, Loss  0.868129, Average Loss  0.868516, Time  0.174681
2021-09-11 05:13:29.540109 : Epoch  2, Batch    744, Loss  0.840667, Average Loss  0.870789, Time  0.322998
2021-09-11 05:13:30.433814 : Epoch  3, Batch   3191, Loss  0.850270, Average Loss  0.868388, Time  0.176075
2021-09-11 05:13:32.075066 : Epoch  3, Batch   3192, Loss  0.863697, Average Loss  0.868350, Time  0.172101
2021-09-11 05:13:33.704040 : Epoch  3, Batch   3193, Loss  0.855594, Average Loss  0.868290, Time  0.175945
2021-09-11 05:13:35.332037 : Epoch  3, Batch   3194, Loss  0.886725, Average Loss  0.868313, Time  0.170233
2021-09-11 05:13:36.947852 : Epoch  3, Batch   3195, Loss  0.847135, Average Loss  0.868175, Time  0.174337
2021-09-11 05:13:38.555042 : Epoch  3, Batch   3196, Loss  0.870472, Average Loss  0.868243, Time  0.170350
2021-09-11 05:13:40.182751 : Epoch  3, Batch   3197, Loss  0.869534, Average Loss  0.868306, Time  0.180259
2021-09-11 05:13:41.820882 : Epoch  3, Batch   3198, Loss  0.877370, Average Loss  0.868332, Time  0.173905
2021-09-11 05:13:43.436848 : Epoch  3, Batch   3199, Loss  0.877174, Average Loss  0.868363, Time  0.170530
2021-09-11 05:13:45.074754 : Epoch  3, Batch   3200, Loss  0.858662, Average Loss  0.868217, Time  0.189171
2021-09-11 05:13:46.720907 : Epoch  3, Batch   3201, Loss  0.855545, Average Loss  0.867888, Time  0.182748
2021-09-11 05:13:46.979743 : CheckPoint: Validation Loss  0.00022336, Best Loss  0.00021921
2021-09-11 05:13:48.357795 : Epoch  3, Batch   3202, Loss  0.863679, Average Loss  0.867917, Time  0.172990
2021-09-11 05:13:48.511990 : Epoch  8, Batch    592, Loss  0.550280, Average Loss  0.547315, Time  0.231073
2021-09-11 05:13:49.990758 : Epoch  3, Batch   3203, Loss  0.861202, Average Loss  0.867950, Time  0.180636
2021-09-11 05:13:50.074276 : Epoch  8, Batch    593, Loss  0.565530, Average Loss  0.547464, Time  0.235032
2021-09-11 05:13:51.608789 : Epoch  3, Batch   3204, Loss  0.864061, Average Loss  0.867919, Time  0.174434
2021-09-11 05:13:51.717001 : Epoch  8, Batch    594, Loss  0.544649, Average Loss  0.547497, Time  0.313498
2021-09-11 05:13:53.245777 : Epoch  3, Batch   3205, Loss  0.894387, Average Loss  0.868002, Time  0.176622
2021-09-11 05:13:53.258932 : Epoch  8, Batch    595, Loss  0.536553, Average Loss  0.547435, Time  0.230983
2021-09-11 05:13:54.816850 : Epoch  8, Batch    596, Loss  0.557020, Average Loss  0.547521, Time  0.234314
2021-09-11 05:13:54.868883 : Epoch  3, Batch   3206, Loss  0.871666, Average Loss  0.868127, Time  0.172619
2021-09-11 05:13:56.401128 : Epoch  8, Batch    597, Loss  0.538868, Average Loss  0.547418, Time  0.277289
2021-09-11 05:13:56.468915 : Epoch  3, Batch   3207, Loss  0.904431, Average Loss  0.868369, Time  0.170263
2021-09-11 05:13:57.936066 : Epoch  8, Batch    598, Loss  0.553856, Average Loss  0.547393, Time  0.232084
2021-09-11 05:13:58.046761 : Epoch  3, Batch   3208, Loss  0.879013, Average Loss  0.868471, Time  0.170710
2021-09-11 05:13:59.478041 : Epoch  8, Batch    599, Loss  0.544144, Average Loss  0.547373, Time  0.233654
2021-09-11 05:13:59.674816 : Epoch  3, Batch   3209, Loss  0.894839, Average Loss  0.868540, Time  0.170110
2021-09-11 05:14:01.018393 : Epoch  8, Batch    600, Loss  0.548977, Average Loss  0.547367, Time  0.234027
2021-09-11 05:14:01.306057 : Epoch  3, Batch   3210, Loss  0.868109, Average Loss  0.868678, Time  0.181360
2021-09-11 05:14:02.578378 : Epoch  8, Batch    601, Loss  0.554687, Average Loss  0.547456, Time  0.230516
2021-09-11 05:14:02.887786 : Epoch  3, Batch   3211, Loss  0.849526, Average Loss  0.868512, Time  0.172742
2021-09-11 05:14:04.118901 : Epoch  8, Batch    602, Loss  0.542657, Average Loss  0.547461, Time  0.231406
2021-09-11 05:14:04.525043 : Epoch  3, Batch   3212, Loss  0.859334, Average Loss  0.868483, Time  0.170923
2021-09-11 05:14:05.647603 : Epoch  8, Batch    603, Loss  0.548792, Average Loss  0.547471, Time  0.230736
2021-09-11 05:14:06.158815 : Epoch  3, Batch   3213, Loss  0.893077, Average Loss  0.868591, Time  0.173439
2021-09-11 05:14:07.188403 : Epoch  8, Batch    604, Loss  0.555696, Average Loss  0.547476, Time  0.231240
2021-09-11 05:14:07.774042 : Epoch  3, Batch   3214, Loss  0.853770, Average Loss  0.868422, Time  0.172206
2021-09-11 05:14:08.734874 : Epoch  8, Batch    605, Loss  0.541341, Average Loss  0.547435, Time  0.231282
2021-09-11 05:14:09.418753 : Epoch  3, Batch   3215, Loss  0.867505, Average Loss  0.868325, Time  0.173992
2021-09-11 05:14:10.283424 : Epoch  8, Batch    606, Loss  0.551630, Average Loss  0.547510, Time  0.232093
2021-09-11 05:14:11.026742 : Epoch  3, Batch   3216, Loss  0.849367, Average Loss  0.868270, Time  0.176228
2021-09-11 05:14:11.820895 : Epoch  8, Batch    607, Loss  0.539390, Average Loss  0.547481, Time  0.231448
2021-09-11 05:14:12.640759 : Epoch  3, Batch   3217, Loss  0.851471, Average Loss  0.868261, Time  0.170245
2021-09-11 05:14:13.452233 : Epoch  8, Batch    608, Loss  0.549418, Average Loss  0.547477, Time  0.314840
2021-09-11 05:14:14.283854 : Epoch  3, Batch   3218, Loss  0.866971, Average Loss  0.868546, Time  0.178669
2021-09-11 05:14:15.010760 : Epoch  8, Batch    609, Loss  0.547216, Average Loss  0.547491, Time  0.232032
2021-09-11 05:14:15.945860 : Epoch  3, Batch   3219, Loss  0.858786, Average Loss  0.868253, Time  0.170735
2021-09-11 05:14:16.543152 : Epoch  8, Batch    610, Loss  0.543136, Average Loss  0.547433, Time  0.231556
2021-09-11 05:14:17.543058 : Epoch  3, Batch   3220, Loss  0.883051, Average Loss  0.868431, Time  0.170563
2021-09-11 05:14:18.158156 : Epoch  8, Batch    611, Loss  0.539733, Average Loss  0.547326, Time  0.320917
2021-09-11 05:14:19.155834 : Epoch  3, Batch   3221, Loss  0.895777, Average Loss  0.868589, Time  0.171955
2021-09-11 05:14:19.703347 : Epoch  8, Batch    612, Loss  0.550496, Average Loss  0.547359, Time  0.231478
2021-09-11 05:14:20.765771 : Epoch  3, Batch   3222, Loss  0.854771, Average Loss  0.868452, Time  0.174496
2021-09-11 05:14:21.251095 : Epoch  8, Batch    613, Loss  0.557071, Average Loss  0.547427, Time  0.234439
2021-09-11 05:14:22.374771 : Epoch  3, Batch   3223, Loss  0.881459, Average Loss  0.868445, Time  0.170152
2021-09-11 05:14:22.801406 : Epoch  8, Batch    614, Loss  0.542634, Average Loss  0.547408, Time  0.230453
2021-09-11 05:14:23.997038 : Epoch  3, Batch   3224, Loss  0.863242, Average Loss  0.868391, Time  0.172862
2021-09-11 05:14:24.338428 : Epoch  8, Batch    615, Loss  0.556385, Average Loss  0.547401, Time  0.231608
2021-09-11 05:14:25.597811 : Epoch  3, Batch   3225, Loss  0.876927, Average Loss  0.868527, Time  0.170781
2021-09-11 05:14:25.887124 : Epoch  8, Batch    616, Loss  0.556168, Average Loss  0.547464, Time  0.230978
2021-09-11 05:14:27.243042 : Epoch  3, Batch   3226, Loss  0.883814, Average Loss  0.868620, Time  0.173506
2021-09-11 05:14:27.426415 : Epoch  8, Batch    617, Loss  0.545242, Average Loss  0.547442, Time  0.231422
2021-09-11 05:14:28.881030 : Epoch  3, Batch   3227, Loss  0.889410, Average Loss  0.868679, Time  0.173401
2021-09-11 05:14:28.968987 : Epoch  8, Batch    618, Loss  0.546987, Average Loss  0.547517, Time  0.232183
2021-09-11 05:14:30.490037 : Epoch  3, Batch   3228, Loss  0.882967, Average Loss  0.868648, Time  0.169745
2021-09-11 05:14:30.533420 : Epoch  8, Batch    619, Loss  0.555132, Average Loss  0.547610, Time  0.237026
2021-09-11 05:14:32.096123 : Epoch  8, Batch    620, Loss  0.542078, Average Loss  0.547560, Time  0.230476
2021-09-11 05:14:32.123843 : Epoch  3, Batch   3229, Loss  0.863123, Average Loss  0.868773, Time  0.174926
2021-09-11 05:14:33.645375 : Epoch  8, Batch    621, Loss  0.547457, Average Loss  0.547571, Time  0.230689
2021-09-11 05:14:33.754744 : Epoch  3, Batch   3230, Loss  0.830332, Average Loss  0.868461, Time  0.170080
2021-09-11 05:14:35.164271 : Epoch  8, Batch    622, Loss  0.531183, Average Loss  0.547441, Time  0.232473
2021-09-11 05:14:35.379022 : Epoch  3, Batch   3231, Loss  0.857295, Average Loss  0.868411, Time  0.173448
2021-09-11 05:14:36.716422 : Epoch  8, Batch    623, Loss  0.537924, Average Loss  0.547386, Time  0.233977
2021-09-11 05:14:37.064031 : Epoch  3, Batch   3232, Loss  0.881890, Average Loss  0.868509, Time  0.170098
2021-09-11 05:14:38.268140 : Epoch  8, Batch    624, Loss  0.540582, Average Loss  0.547307, Time  0.234441
2021-09-11 05:14:38.682819 : Epoch  3, Batch   3233, Loss  0.870774, Average Loss  0.868332, Time  0.170804
2021-09-11 05:14:39.927441 : Epoch  8, Batch    625, Loss  0.540397, Average Loss  0.547251, Time  0.307670
2021-09-11 05:14:40.327799 : Epoch  3, Batch   3234, Loss  0.863917, Average Loss  0.868273, Time  0.182123
2021-09-11 05:14:41.484846 : Epoch  8, Batch    626, Loss  0.549917, Average Loss  0.547245, Time  0.239160
2021-09-11 05:14:41.955746 : Epoch  3, Batch   3235, Loss  0.878761, Average Loss  0.868290, Time  0.170492
2021-09-11 05:14:43.036016 : Epoch  8, Batch    627, Loss  0.540567, Average Loss  0.547241, Time  0.232207
2021-09-11 05:14:43.590017 : Epoch  3, Batch   3236, Loss  0.869816, Average Loss  0.868341, Time  0.170535
2021-09-11 05:14:44.675288 : Epoch  8, Batch    628, Loss  0.552224, Average Loss  0.547322, Time  0.313395
2021-09-11 05:14:45.230757 : Epoch  3, Batch   3237, Loss  0.861918, Average Loss  0.868374, Time  0.174293
2021-09-11 05:14:46.216064 : Epoch  8, Batch    629, Loss  0.551460, Average Loss  0.547304, Time  0.230746
2021-09-11 05:14:46.850794 : Epoch  3, Batch   3238, Loss  0.838118, Average Loss  0.868419, Time  0.170332
2021-09-11 05:14:47.743898 : Epoch  8, Batch    630, Loss  0.550950, Average Loss  0.547339, Time  0.230883
2021-09-11 05:14:48.463797 : Epoch  3, Batch   3239, Loss  0.871077, Average Loss  0.868380, Time  0.170032
2021-09-11 05:14:49.289410 : Epoch  8, Batch    631, Loss  0.543225, Average Loss  0.547273, Time  0.238295
2021-09-11 05:14:50.067059 : Epoch  3, Batch   3240, Loss  0.854019, Average Loss  0.868161, Time  0.173216
2021-09-11 05:14:50.830385 : Epoch  8, Batch    632, Loss  0.551680, Average Loss  0.547365, Time  0.235253
2021-09-11 05:14:51.702769 : Epoch  3, Batch   3241, Loss  0.865770, Average Loss  0.867997, Time  0.186825
2021-09-11 05:14:52.369700 : Epoch  8, Batch    633, Loss  0.544003, Average Loss  0.547326, Time  0.231633
2021-09-11 05:14:53.321827 : Epoch  3, Batch   3242, Loss  0.890552, Average Loss  0.868092, Time  0.171426
2021-09-11 05:14:53.941115 : Epoch  8, Batch    634, Loss  0.538772, Average Loss  0.547249, Time  0.235222
2021-09-11 05:14:54.940031 : Epoch  3, Batch   3243, Loss  0.904420, Average Loss  0.868444, Time  0.169717
2021-09-11 05:14:55.491071 : Epoch  8, Batch    635, Loss  0.532992, Average Loss  0.547147, Time  0.233316
2021-09-11 05:14:56.570035 : Epoch  3, Batch   3244, Loss  0.880258, Average Loss  0.868565, Time  0.171275
2021-09-11 05:14:57.034916 : Epoch  8, Batch    636, Loss  0.549599, Average Loss  0.547106, Time  0.233985
2021-09-11 05:14:58.167030 : Epoch  3, Batch   3245, Loss  0.859447, Average Loss  0.868467, Time  0.171055
2021-09-11 05:14:58.570414 : Epoch  8, Batch    637, Loss  0.544811, Average Loss  0.547123, Time  0.233845
2021-09-11 05:14:59.822039 : Epoch  3, Batch   3246, Loss  0.855468, Average Loss  0.868438, Time  0.171868
2021-09-11 05:15:00.104029 : Epoch  8, Batch    638, Loss  0.533548, Average Loss  0.547083, Time  0.234810
2021-09-11 05:15:01.437885 : Epoch  3, Batch   3247, Loss  0.859287, Average Loss  0.868537, Time  0.173917
2021-09-11 05:15:01.641051 : Epoch  8, Batch    639, Loss  0.553242, Average Loss  0.547088, Time  0.232130
2021-09-11 05:15:03.064746 : Epoch  3, Batch   3248, Loss  0.875171, Average Loss  0.868579, Time  0.170884
2021-09-11 05:15:03.181973 : Epoch  8, Batch    640, Loss  0.545744, Average Loss  0.547043, Time  0.232758
2021-09-11 05:15:04.674737 : Epoch  3, Batch   3249, Loss  0.893671, Average Loss  0.868687, Time  0.176374
2021-09-11 05:15:04.732852 : Epoch  8, Batch    641, Loss  0.540307, Average Loss  0.547007, Time  0.233053
2021-09-11 05:15:06.285776 : Epoch  3, Batch   3250, Loss  0.862826, Average Loss  0.868668, Time  0.169976
2021-09-11 05:15:06.350986 : Epoch  8, Batch    642, Loss  0.551753, Average Loss  0.547042, Time  0.317466
2021-09-11 05:15:07.881574 : Epoch  8, Batch    643, Loss  0.553565, Average Loss  0.547038, Time  0.233235
2021-09-11 05:15:07.919746 : Epoch  3, Batch   3251, Loss  0.843025, Average Loss  0.868475, Time  0.170206
2021-09-11 05:15:09.433254 : Epoch  8, Batch    644, Loss  0.543521, Average Loss  0.546995, Time  0.231808
2021-09-11 05:15:09.496365 : Epoch  3, Batch   3252, Loss  0.870292, Average Loss  0.868565, Time  0.170853
2021-09-11 05:15:11.068887 : Epoch  3, Batch   3253, Loss  0.856049, Average Loss  0.868651, Time  0.176658
2021-09-11 05:15:12.596531 : Epoch  8, Batch    646, Loss  0.549866, Average Loss  0.546966, Time  0.230485
2021-09-11 05:15:12.675771 : Epoch  3, Batch   3254, Loss  0.881439, Average Loss  0.868588, Time  0.169646
2021-09-11 05:15:14.143155 : Epoch  8, Batch    647, Loss  0.544212, Average Loss  0.546983, Time  0.231825
2021-09-11 05:15:14.260778 : Epoch  3, Batch   3255, Loss  0.843531, Average Loss  0.868542, Time  0.175747
2021-09-11 05:15:15.675899 : Epoch  8, Batch    648, Loss  0.551909, Average Loss  0.547021, Time  0.231362
2021-09-11 05:15:15.870038 : Epoch  3, Batch   3256, Loss  0.871638, Average Loss  0.868706, Time  0.178324
2021-09-11 05:15:17.204413 : Epoch  8, Batch    649, Loss  0.543484, Average Loss  0.547074, Time  0.230797
2021-09-11 05:15:17.485802 : Epoch  3, Batch   3257, Loss  0.877482, Average Loss  0.868738, Time  0.174718
2021-09-11 05:15:18.758066 : Epoch  8, Batch    650, Loss  0.551607, Average Loss  0.547137, Time  0.232594
2021-09-11 05:15:19.107034 : Epoch  3, Batch   3258, Loss  0.848213, Average Loss  0.868535, Time  0.177855
2021-09-11 05:15:20.286936 : Epoch  8, Batch    651, Loss  0.542323, Average Loss  0.547094, Time  0.230981
2021-09-11 05:15:20.748752 : Epoch  3, Batch   3259, Loss  0.888406, Average Loss  0.868721, Time  0.179769
2021-09-11 05:15:21.830113 : Epoch  8, Batch    652, Loss  0.541372, Average Loss  0.547058, Time  0.232645
2021-09-11 05:15:22.379770 : Epoch  3, Batch   3260, Loss  0.872302, Average Loss  0.868770, Time  0.173911
2021-09-11 05:15:23.363168 : Epoch  8, Batch    653, Loss  0.543777, Average Loss  0.547017, Time  0.231022
2021-09-11 05:15:23.998794 : Epoch  3, Batch   3261, Loss  0.880086, Average Loss  0.868682, Time  0.171065
2021-09-11 05:15:24.895864 : Epoch  8, Batch    654, Loss  0.547214, Average Loss  0.547077, Time  0.232982
2021-09-11 05:15:25.619039 : Epoch  3, Batch   3262, Loss  0.875206, Average Loss  0.868672, Time  0.177032
2021-09-11 05:15:26.433929 : Epoch  8, Batch    655, Loss  0.543837, Average Loss  0.546987, Time  0.238055
2021-09-11 05:15:27.263751 : Epoch  3, Batch   3263, Loss  0.879486, Average Loss  0.868792, Time  0.170020
2021-09-11 05:15:27.988856 : Epoch  8, Batch    656, Loss  0.545226, Average Loss  0.547010, Time  0.246946
2021-09-11 05:15:28.877027 : Epoch  3, Batch   3264, Loss  0.863819, Average Loss  0.868702, Time  0.172788
2021-09-11 05:15:29.527861 : Epoch  8, Batch    657, Loss  0.538942, Average Loss  0.546932, Time  0.231105
2021-09-11 05:15:30.496789 : Epoch  3, Batch   3265, Loss  0.879692, Average Loss  0.868754, Time  0.176639
2021-09-11 05:15:31.058925 : Epoch  8, Batch    658, Loss  0.552898, Average Loss  0.546960, Time  0.230709
2021-09-11 05:15:32.131843 : Epoch  3, Batch   3266, Loss  0.843896, Average Loss  0.868686, Time  0.181587
2021-09-11 05:15:32.664201 : Epoch  8, Batch    659, Loss  0.531328, Average Loss  0.546875, Time  0.312104
2021-09-11 05:15:33.765791 : Epoch  3, Batch   3267, Loss  0.874394, Average Loss  0.868791, Time  0.169813
2021-09-11 05:15:34.198081 : Epoch  8, Batch    660, Loss  0.546357, Average Loss  0.546862, Time  0.230827
2021-09-11 05:15:35.380761 : Epoch  3, Batch   3268, Loss  0.861768, Average Loss  0.868816, Time  0.171818
2021-09-11 05:15:35.749953 : Epoch  8, Batch    661, Loss  0.547387, Average Loss  0.546772, Time  0.234606
2021-09-11 05:15:37.007959 : Epoch  3, Batch   3269, Loss  0.891051, Average Loss  0.869052, Time  0.177176
2021-09-11 05:15:38.641759 : Epoch  3, Batch   3270, Loss  0.840309, Average Loss  0.869080, Time  0.175184
2021-09-11 05:15:39.726929 : Epoch  8, Batch    662, Loss  0.545562, Average Loss  0.546783, Time  0.231710
2021-09-11 05:15:40.272781 : Epoch  3, Batch   3271, Loss  0.844022, Average Loss  0.869103, Time  0.174804
2021-09-11 05:15:41.255920 : Epoch  8, Batch    663, Loss  0.549781, Average Loss  0.546790, Time  0.232783
2021-09-11 05:15:41.903032 : Epoch  3, Batch   3272, Loss  0.840498, Average Loss  0.868808, Time  0.171719
2021-09-11 05:15:42.808485 : Epoch  8, Batch    664, Loss  0.551565, Average Loss  0.546854, Time  0.231506
2021-09-11 05:15:43.534029 : Epoch  3, Batch   3273, Loss  0.852808, Average Loss  0.868859, Time  0.179141
2021-09-11 05:15:44.347211 : Epoch  8, Batch    665, Loss  0.552447, Average Loss  0.546830, Time  0.233567
2021-09-11 05:15:45.159025 : Epoch  3, Batch   3274, Loss  0.871172, Average Loss  0.868903, Time  0.182942
2021-09-11 05:15:45.888962 : Epoch  8, Batch    666, Loss  0.555569, Average Loss  0.546862, Time  0.234913
2021-09-11 05:15:46.791787 : Epoch  3, Batch   3275, Loss  0.846162, Average Loss  0.868720, Time  0.169991
2021-09-11 05:15:47.434409 : Epoch  8, Batch    667, Loss  0.549378, Average Loss  0.546858, Time  0.230739
2021-09-11 05:15:48.407746 : Epoch  3, Batch   3276, Loss  0.867061, Average Loss  0.868612, Time  0.170155
2021-09-11 05:15:48.967844 : Epoch  8, Batch    668, Loss  0.549613, Average Loss  0.546823, Time  0.235319
2021-09-11 05:15:50.046753 : Epoch  3, Batch   3277, Loss  0.880924, Average Loss  0.868725, Time  0.176850
2021-09-11 05:15:50.492101 : Epoch  8, Batch    669, Loss  0.553440, Average Loss  0.546832, Time  0.230773
2021-09-11 05:15:51.682757 : Epoch  3, Batch   3278, Loss  0.897691, Average Loss  0.868933, Time  0.171753
2021-09-11 05:15:52.018125 : Epoch  8, Batch    670, Loss  0.532621, Average Loss  0.546776, Time  0.230826
2021-09-11 05:15:53.547134 : Epoch  8, Batch    671, Loss  0.543089, Average Loss  0.546712, Time  0.231078
2021-09-11 05:15:55.078821 : Epoch  8, Batch    672, Loss  0.561649, Average Loss  0.546776, Time  0.235462
2021-09-11 05:15:56.738054 : Epoch  8, Batch    673, Loss  0.551053, Average Loss  0.546796, Time  0.316097
2021-09-11 05:15:58.304909 : Epoch  8, Batch    674, Loss  0.551076, Average Loss  0.546783, Time  0.231100
2021-09-11 05:15:59.860972 : Epoch  8, Batch    675, Loss  0.554766, Average Loss  0.546888, Time  0.230912
2021-09-11 05:16:01.553892 : Epoch  8, Batch    676, Loss  0.535138, Average Loss  0.546812, Time  0.311249
2021-09-11 05:16:03.091210 : Epoch  8, Batch    677, Loss  0.551203, Average Loss  0.546764, Time  0.236452
2021-09-11 05:16:04.618436 : Epoch  8, Batch    678, Loss  0.545352, Average Loss  0.546772, Time  0.230778
2021-09-11 05:16:06.176425 : Epoch  8, Batch    679, Loss  0.564803, Average Loss  0.546852, Time  0.232360
2021-09-11 05:16:07.738189 : Epoch  8, Batch    680, Loss  0.536448, Average Loss  0.546809, Time  0.239470
2021-09-11 05:16:09.291451 : Epoch  8, Batch    681, Loss  0.545644, Average Loss  0.546743, Time  0.234118
2021-09-11 05:16:10.830387 : Epoch  8, Batch    682, Loss  0.546511, Average Loss  0.546739, Time  0.236765
2021-09-11 05:16:12.363033 : Epoch  8, Batch    683, Loss  0.555761, Average Loss  0.546808, Time  0.231740
2021-09-11 05:16:14.105406 : Epoch  8, Batch    684, Loss  0.543124, Average Loss  0.546685, Time  0.239083
2021-09-11 05:16:15.649390 : Epoch  8, Batch    685, Loss  0.555766, Average Loss  0.546695, Time  0.231106
2021-09-11 05:16:17.206086 : Epoch  8, Batch    686, Loss  0.560919, Average Loss  0.546761, Time  0.233300
2021-09-11 05:16:18.762000 : Epoch  8, Batch    687, Loss  0.546186, Average Loss  0.546768, Time  0.231786
2021-09-11 05:16:20.297451 : Epoch  8, Batch    688, Loss  0.548809, Average Loss  0.546753, Time  0.232915
2021-09-11 05:16:21.826404 : Epoch  8, Batch    689, Loss  0.560922, Average Loss  0.546857, Time  0.230715
2021-09-11 05:16:23.367396 : Epoch  8, Batch    690, Loss  0.549764, Average Loss  0.546853, Time  0.235263
2021-09-11 05:16:24.893857 : Epoch  8, Batch    691, Loss  0.541560, Average Loss  0.546806, Time  0.231312
2021-09-11 05:17:21.321740 : CheckPoint: Validation Loss  0.00022606, Best Loss  0.00021921
2021-09-11 05:17:22.867033 : Epoch  8, Batch    692, Loss  0.538041, Average Loss  0.546709, Time  0.234114
2021-09-11 05:17:24.394093 : Epoch  8, Batch    693, Loss  0.534118, Average Loss  0.546656, Time  0.233390
2021-09-11 05:17:25.926716 : Epoch  8, Batch    694, Loss  0.548148, Average Loss  0.546639, Time  0.233848
2021-09-11 05:17:27.459118 : Epoch  8, Batch    695, Loss  0.553173, Average Loss  0.546666, Time  0.232231
2021-09-11 05:17:29.000371 : Epoch  8, Batch    696, Loss  0.530639, Average Loss  0.546572, Time  0.230797
2021-09-11 05:17:30.607092 : Epoch  8, Batch    697, Loss  0.549222, Average Loss  0.546635, Time  0.314351
2021-09-11 05:17:32.133587 : Epoch  8, Batch    698, Loss  0.550828, Average Loss  0.546560, Time  0.231788
2021-09-11 05:17:33.671405 : Epoch  8, Batch    699, Loss  0.537990, Average Loss  0.546558, Time  0.231032
2021-09-11 05:17:34.431682 : CheckPoint: Validation Loss  0.00030472, Best Loss  0.00029375
2021-09-11 05:17:35.200099 : Epoch  8, Batch    700, Loss  0.550357, Average Loss  0.546546, Time  0.231104
2021-09-11 05:17:36.730808 : Epoch  8, Batch    701, Loss  0.559892, Average Loss  0.546602, Time  0.234596
2021-09-11 05:17:37.058837 : Epoch  2, Batch    745, Loss  0.859033, Average Loss  0.870755, Time  0.243800
2021-09-11 05:17:38.253877 : Epoch  8, Batch    702, Loss  0.542326, Average Loss  0.546596, Time  0.231910
2021-09-11 05:17:39.819248 : Epoch  2, Batch    746, Loss  0.835996, Average Loss  0.870573, Time  0.392905
2021-09-11 05:17:39.875021 : Epoch  8, Batch    703, Loss  0.535123, Average Loss  0.546547, Time  0.322272
2021-09-11 05:17:41.391837 : Epoch  8, Batch    704, Loss  0.520363, Average Loss  0.546407, Time  0.230997
2021-09-11 05:17:42.443673 : Epoch  2, Batch    747, Loss  0.885170, Average Loss  0.870595, Time  0.257253
2021-09-11 05:17:42.941972 : Epoch  8, Batch    705, Loss  0.533713, Average Loss  0.546342, Time  0.233258
2021-09-11 05:17:44.489819 : Epoch  8, Batch    706, Loss  0.542592, Average Loss  0.546294, Time  0.231019
2021-09-11 05:17:45.118300 : Epoch  2, Batch    748, Loss  0.867013, Average Loss  0.870597, Time  0.239753
2021-09-11 05:17:46.054416 : Epoch  8, Batch    707, Loss  0.551916, Average Loss  0.546275, Time  0.230936
2021-09-11 05:17:47.584409 : Epoch  8, Batch    708, Loss  0.537912, Average Loss  0.546260, Time  0.231058
2021-09-11 05:17:47.813849 : Epoch  2, Batch    749, Loss  0.841240, Average Loss  0.870357, Time  0.251070
2021-09-11 05:17:49.151902 : Epoch  8, Batch    709, Loss  0.558068, Average Loss  0.546333, Time  0.231459
2021-09-11 05:17:50.445340 : Epoch  2, Batch    750, Loss  0.844737, Average Loss  0.870222, Time  0.244706
2021-09-11 05:17:50.686391 : Epoch  8, Batch    710, Loss  0.551258, Average Loss  0.546398, Time  0.231781
2021-09-11 05:17:52.214111 : Epoch  8, Batch    711, Loss  0.554339, Average Loss  0.546450, Time  0.231829
2021-09-11 05:17:53.053822 : Epoch  2, Batch    751, Loss  0.866298, Average Loss  0.870198, Time  0.243957
2021-09-11 05:17:53.742831 : Epoch  8, Batch    712, Loss  0.560772, Average Loss  0.546505, Time  0.231440
2021-09-11 05:17:55.269684 : Epoch  8, Batch    713, Loss  0.535868, Average Loss  0.546438, Time  0.231677
2021-09-11 05:17:55.661345 : Epoch  2, Batch    752, Loss  0.845743, Average Loss  0.870049, Time  0.243888
2021-09-11 05:17:56.807879 : Epoch  8, Batch    714, Loss  0.550205, Average Loss  0.546458, Time  0.238995
2021-09-11 05:17:58.469953 : Epoch  2, Batch    753, Loss  0.880651, Average Loss  0.869996, Time  0.452544
2021-09-11 05:17:58.518138 : Epoch  8, Batch    715, Loss  0.537581, Average Loss  0.546384, Time  0.367706
2021-09-11 05:18:00.043941 : Epoch  8, Batch    716, Loss  0.542412, Average Loss  0.546398, Time  0.233180
2021-09-11 05:18:01.195427 : Epoch  2, Batch    754, Loss  0.891143, Average Loss  0.870014, Time  0.264451
2021-09-11 05:18:01.584394 : Epoch  8, Batch    717, Loss  0.539199, Average Loss  0.546309, Time  0.231066
2021-09-11 05:18:03.144398 : Epoch  8, Batch    718, Loss  0.542126, Average Loss  0.546346, Time  0.232762
2021-09-11 05:18:03.883336 : Epoch  2, Batch    755, Loss  0.883997, Average Loss  0.870100, Time  0.258912
2021-09-11 05:18:04.686093 : Epoch  8, Batch    719, Loss  0.543907, Average Loss  0.546315, Time  0.237218
2021-09-11 05:18:06.210068 : Epoch  8, Batch    720, Loss  0.544565, Average Loss  0.546339, Time  0.230597
2021-09-11 05:18:06.514837 : Epoch  2, Batch    756, Loss  0.852741, Average Loss  0.870011, Time  0.260368
2021-09-11 05:18:07.738057 : Epoch  8, Batch    721, Loss  0.541076, Average Loss  0.546290, Time  0.231035
2021-09-11 05:18:09.290758 : Epoch  2, Batch    757, Loss  0.875719, Average Loss  0.870046, Time  0.390126
2021-09-11 05:18:09.350473 : Epoch  8, Batch    722, Loss  0.540659, Average Loss  0.546288, Time  0.315828
2021-09-11 05:18:10.869409 : Epoch  8, Batch    723, Loss  0.559025, Average Loss  0.546358, Time  0.233608
2021-09-11 05:18:11.911131 : Epoch  2, Batch    758, Loss  0.869760, Average Loss  0.869924, Time  0.242052
2021-09-11 05:18:12.414401 : Epoch  8, Batch    724, Loss  0.555347, Average Loss  0.546430, Time  0.232307
2021-09-11 05:18:13.963090 : Epoch  8, Batch    725, Loss  0.553392, Average Loss  0.546447, Time  0.233362
2021-09-11 05:18:14.601794 : Epoch  2, Batch    759, Loss  0.864392, Average Loss  0.869927, Time  0.239717
2021-09-11 05:18:15.501095 : Epoch  8, Batch    726, Loss  0.526666, Average Loss  0.546354, Time  0.231143
2021-09-11 05:18:17.041456 : Epoch  8, Batch    727, Loss  0.535346, Average Loss  0.546339, Time  0.230798
2021-09-11 05:18:17.342901 : Epoch  2, Batch    760, Loss  0.874572, Average Loss  0.870038, Time  0.274251
2021-09-11 05:18:18.583938 : Epoch  8, Batch    728, Loss  0.555124, Average Loss  0.546410, Time  0.230903
2021-09-11 05:18:20.194536 : Epoch  2, Batch    761, Loss  0.871271, Average Loss  0.869919, Time  0.420041
2021-09-11 05:18:20.247393 : Epoch  8, Batch    729, Loss  0.550648, Average Loss  0.546414, Time  0.332512
2021-09-11 05:18:21.768070 : Epoch  8, Batch    730, Loss  0.546564, Average Loss  0.546478, Time  0.230615
2021-09-11 05:18:22.897801 : Epoch  2, Batch    762, Loss  0.873143, Average Loss  0.869985, Time  0.259113
2021-09-11 05:18:23.299842 : Epoch  8, Batch    731, Loss  0.535932, Average Loss  0.546447, Time  0.231976
2021-09-11 05:18:24.830947 : Epoch  8, Batch    732, Loss  0.564903, Average Loss  0.546567, Time  0.233245
2021-09-11 05:18:25.632021 : Epoch  2, Batch    763, Loss  0.872471, Average Loss  0.869982, Time  0.268683
2021-09-11 05:18:26.366393 : Epoch  8, Batch    733, Loss  0.549255, Average Loss  0.546572, Time  0.233119
2021-09-11 05:18:27.886876 : Epoch  8, Batch    734, Loss  0.549912, Average Loss  0.546538, Time  0.230716
2021-09-11 05:18:28.346161 : Epoch  2, Batch    764, Loss  0.880082, Average Loss  0.870106, Time  0.267245
2021-09-11 05:18:29.415496 : Epoch  8, Batch    735, Loss  0.554100, Average Loss  0.546568, Time  0.232235
2021-09-11 05:18:31.143386 : Epoch  8, Batch    736, Loss  0.541441, Average Loss  0.546548, Time  0.435495
2021-09-11 05:18:31.194996 : Epoch  2, Batch    765, Loss  0.882814, Average Loss  0.870281, Time  0.396246
2021-09-11 05:18:32.713293 : Epoch  8, Batch    737, Loss  0.542082, Average Loss  0.546550, Time  0.240842
2021-09-11 05:18:33.869808 : Epoch  2, Batch    766, Loss  0.900628, Average Loss  0.870435, Time  0.260053
2021-09-11 05:18:34.245053 : Epoch  8, Batch    738, Loss  0.547394, Average Loss  0.546470, Time  0.232276
2021-09-11 05:18:35.775208 : Epoch  8, Batch    739, Loss  0.543022, Average Loss  0.546428, Time  0.232592
2021-09-11 05:18:36.558716 : Epoch  2, Batch    767, Loss  0.876502, Average Loss  0.870465, Time  0.262673
2021-09-11 05:18:37.312971 : Epoch  8, Batch    740, Loss  0.552894, Average Loss  0.546441, Time  0.237777
2021-09-11 05:18:38.854386 : Epoch  8, Batch    741, Loss  0.547742, Average Loss  0.546454, Time  0.234858
2021-09-11 05:18:39.270077 : Epoch  2, Batch    768, Loss  0.862642, Average Loss  0.870395, Time  0.265316
2021-09-11 05:18:40.385421 : Epoch  8, Batch    742, Loss  0.546280, Average Loss  0.546387, Time  0.230825
2021-09-11 05:18:42.144139 : Epoch  8, Batch    743, Loss  0.562226, Average Loss  0.546484, Time  0.449846
2021-09-11 05:18:42.195799 : Epoch  2, Batch    769, Loss  0.865787, Average Loss  0.870383, Time  0.460825
2021-09-11 05:18:43.683419 : Epoch  8, Batch    744, Loss  0.545766, Average Loss  0.546570, Time  0.231052
2021-09-11 05:18:44.887965 : Epoch  2, Batch    770, Loss  0.863349, Average Loss  0.870275, Time  0.264697
2021-09-11 05:18:45.220757 : Epoch  8, Batch    745, Loss  0.536462, Average Loss  0.546534, Time  0.233675
2021-09-11 05:18:46.776482 : Epoch  8, Batch    746, Loss  0.538153, Average Loss  0.546515, Time  0.231284
2021-09-11 05:18:47.535893 : Epoch  2, Batch    771, Loss  0.880938, Average Loss  0.870290, Time  0.243761
2021-09-11 05:18:48.308870 : Epoch  8, Batch    747, Loss  0.560101, Average Loss  0.546638, Time  0.231479
2021-09-11 05:18:49.829854 : Epoch  8, Batch    748, Loss  0.534449, Average Loss  0.546632, Time  0.232248
2021-09-11 05:18:50.153819 : Epoch  2, Batch    772, Loss  0.889209, Average Loss  0.870495, Time  0.244936
2021-09-11 05:18:51.377829 : Epoch  8, Batch    749, Loss  0.542427, Average Loss  0.546651, Time  0.232573
2021-09-11 05:18:52.920866 : Epoch  2, Batch    773, Loss  0.879443, Average Loss  0.870510, Time  0.388458
2021-09-11 05:18:52.981845 : Epoch  8, Batch    750, Loss  0.553168, Average Loss  0.546759, Time  0.314581
2021-09-11 05:18:54.549430 : Epoch  8, Batch    751, Loss  0.537339, Average Loss  0.546665, Time  0.230997
2021-09-11 05:18:55.530022 : Epoch  2, Batch    774, Loss  0.883668, Average Loss  0.870485, Time  0.242652
2021-09-11 05:18:56.089423 : Epoch  8, Batch    752, Loss  0.542033, Average Loss  0.546511, Time  0.238863
2021-09-11 05:18:57.633384 : Epoch  8, Batch    753, Loss  0.540237, Average Loss  0.546445, Time  0.231025
2021-09-11 05:18:58.157754 : Epoch  2, Batch    775, Loss  0.862914, Average Loss  0.870489, Time  0.258159
2021-09-11 05:18:59.175391 : Epoch  8, Batch    754, Loss  0.537469, Average Loss  0.546374, Time  0.230666
2021-09-11 05:19:00.916422 : Epoch  8, Batch    755, Loss  0.549693, Average Loss  0.546448, Time  0.437080
2021-09-11 05:19:00.970832 : Epoch  2, Batch    776, Loss  0.889705, Average Loss  0.870556, Time  0.410240
2021-09-11 05:19:02.454201 : Epoch  8, Batch    756, Loss  0.538227, Average Loss  0.546438, Time  0.231606
2021-09-11 05:19:03.706931 : Epoch  2, Batch    777, Loss  0.859904, Average Loss  0.870406, Time  0.257690
2021-09-11 05:19:03.983176 : Epoch  8, Batch    757, Loss  0.569309, Average Loss  0.546510, Time  0.230631
2021-09-11 05:19:05.524800 : Epoch  8, Batch    758, Loss  0.538622, Average Loss  0.546477, Time  0.234611
2021-09-11 05:19:06.411358 : Epoch  2, Batch    778, Loss  0.860859, Average Loss  0.870452, Time  0.257082
2021-09-11 05:19:07.063380 : Epoch  8, Batch    759, Loss  0.539574, Average Loss  0.546461, Time  0.233730
2021-09-11 05:19:08.610498 : Epoch  8, Batch    760, Loss  0.559311, Average Loss  0.546498, Time  0.231747
2021-09-11 05:19:09.067869 : Epoch  2, Batch    779, Loss  0.870158, Average Loss  0.870441, Time  0.243913
2021-09-11 05:19:10.343004 : Epoch  8, Batch    761, Loss  0.540926, Average Loss  0.546403, Time  0.234059
2021-09-11 05:19:11.728463 : Epoch  2, Batch    780, Loss  0.855104, Average Loss  0.870350, Time  0.243389
2021-09-11 05:19:14.363067 : Epoch  8, Batch    762, Loss  0.542110, Average Loss  0.546406, Time  0.372659
2021-09-11 05:19:14.443856 : Epoch  2, Batch    781, Loss  0.867751, Average Loss  0.870341, Time  0.315338
2021-09-11 05:19:15.900366 : Epoch  8, Batch    763, Loss  0.543007, Average Loss  0.546351, Time  0.234584
2021-09-11 05:19:17.056291 : Epoch  2, Batch    782, Loss  0.844407, Average Loss  0.870150, Time  0.244998
2021-09-11 05:19:17.417818 : Epoch  8, Batch    764, Loss  0.532776, Average Loss  0.546304, Time  0.232871
2021-09-11 05:19:18.996395 : Epoch  8, Batch    765, Loss  0.559599, Average Loss  0.546352, Time  0.230819
2021-09-11 05:19:19.738463 : Epoch  2, Batch    783, Loss  0.870056, Average Loss  0.870195, Time  0.239329
2021-09-11 05:19:20.528406 : Epoch  8, Batch    766, Loss  0.542344, Average Loss  0.546292, Time  0.232831
2021-09-11 05:19:22.083394 : Epoch  8, Batch    767, Loss  0.544961, Average Loss  0.546299, Time  0.231267
2021-09-11 05:19:22.367881 : Epoch  2, Batch    784, Loss  0.875795, Average Loss  0.870211, Time  0.244332
2021-09-11 05:19:23.620095 : Epoch  8, Batch    768, Loss  0.556407, Average Loss  0.546437, Time  0.231277
2021-09-11 05:19:25.265052 : Epoch  2, Batch    785, Loss  0.866663, Average Loss  0.870188, Time  0.445010
2021-09-11 05:19:25.327894 : Epoch  8, Batch    769, Loss  0.551689, Average Loss  0.546504, Time  0.357640
2021-09-11 05:19:26.845961 : Epoch  8, Batch    770, Loss  0.551494, Average Loss  0.546582, Time  0.230676
2021-09-11 05:19:27.918678 : Epoch  2, Batch    786, Loss  0.862678, Average Loss  0.870234, Time  0.251655
2021-09-11 05:19:28.371278 : Epoch  8, Batch    771, Loss  0.540294, Average Loss  0.546577, Time  0.230714
2021-09-11 05:19:29.899952 : Epoch  8, Batch    772, Loss  0.550604, Average Loss  0.546627, Time  0.231576
2021-09-11 05:19:30.546076 : Epoch  2, Batch    787, Loss  0.875571, Average Loss  0.870105, Time  0.239775
2021-09-11 05:19:31.425498 : Epoch  8, Batch    773, Loss  0.548330, Average Loss  0.546626, Time  0.231957
2021-09-11 05:19:32.958006 : Epoch  8, Batch    774, Loss  0.560194, Average Loss  0.546616, Time  0.231326
2021-09-11 05:19:33.180827 : Epoch  2, Batch    788, Loss  0.886321, Average Loss  0.870223, Time  0.255361
2021-09-11 05:19:34.487893 : Epoch  8, Batch    775, Loss  0.537444, Average Loss  0.546572, Time  0.234257
2021-09-11 05:19:35.839121 : Epoch  2, Batch    789, Loss  0.866851, Average Loss  0.870250, Time  0.248363
2021-09-11 05:19:36.031905 : Epoch  8, Batch    776, Loss  0.557241, Average Loss  0.546631, Time  0.241827
2021-09-11 05:19:37.563918 : Epoch  8, Batch    777, Loss  0.544609, Average Loss  0.546672, Time  0.230812
2021-09-11 05:19:38.449341 : Epoch  2, Batch    790, Loss  0.875663, Average Loss  0.870223, Time  0.238569
2021-09-11 05:19:39.091421 : Epoch  8, Batch    778, Loss  0.547032, Average Loss  0.546587, Time  0.230954
2021-09-11 05:19:40.622905 : Epoch  8, Batch    779, Loss  0.538229, Average Loss  0.546534, Time  0.232186
2021-09-11 05:19:41.165445 : Epoch  2, Batch    791, Loss  0.864938, Average Loss  0.870204, Time  0.264206
2021-09-11 05:19:42.163133 : Epoch  8, Batch    780, Loss  0.543760, Average Loss  0.546519, Time  0.231372
2021-09-11 05:19:43.835410 : Epoch  8, Batch    781, Loss  0.552716, Average Loss  0.546603, Time  0.372070
2021-09-11 05:19:43.938783 : Epoch  2, Batch    792, Loss  0.860728, Average Loss  0.870111, Time  0.334885
2021-09-11 05:19:45.353842 : Epoch  8, Batch    782, Loss  0.566025, Average Loss  0.546729, Time  0.232069
2021-09-11 05:19:46.641326 : Epoch  2, Batch    793, Loss  0.869885, Average Loss  0.870058, Time  0.261995
2021-09-11 05:19:46.895652 : Epoch  8, Batch    783, Loss  0.546579, Average Loss  0.546691, Time  0.231865
2021-09-11 05:19:48.429836 : Epoch  8, Batch    784, Loss  0.534886, Average Loss  0.546635, Time  0.234994
2021-09-11 05:19:49.328958 : Epoch  2, Batch    794, Loss  0.897446, Average Loss  0.870262, Time  0.259375
2021-09-11 05:19:49.962386 : Epoch  8, Batch    785, Loss  0.528261, Average Loss  0.546542, Time  0.232165
2021-09-11 05:19:51.512873 : Epoch  8, Batch    786, Loss  0.563121, Average Loss  0.546619, Time  0.233563
2021-09-11 05:19:51.992879 : Epoch  2, Batch    795, Loss  0.867232, Average Loss  0.870345, Time  0.241757
2021-09-11 05:19:53.059397 : Epoch  8, Batch    787, Loss  0.547899, Average Loss  0.546616, Time  0.231033
2021-09-11 05:19:53.113573 : Saving Model after 8-th Epoch.
2021-09-11 05:19:54.127616 : Epoch Finished.
2021-09-11 05:19:54.681816 : Epoch  2, Batch    796, Loss  0.866392, Average Loss  0.870363, Time  0.239883
2021-09-11 05:19:56.357622 : Batch Shuffled
2021-09-11 05:19:57.330299 : Epoch  2, Batch    797, Loss  0.857255, Average Loss  0.870253, Time  0.245087
2021-09-11 05:19:57.948004 : Epoch  9, Batch      1, Loss  0.550497, Average Loss  0.546622, Time  0.230784
2021-09-11 05:19:59.503579 : Epoch  9, Batch      2, Loss  0.551349, Average Loss  0.546643, Time  0.232727
2021-09-11 05:20:00.047368 : Epoch  2, Batch    798, Loss  0.880356, Average Loss  0.870426, Time  0.270432
2021-09-11 05:20:01.035114 : Epoch  9, Batch      3, Loss  0.554429, Average Loss  0.546718, Time  0.232146
2021-09-11 05:20:02.733400 : Epoch  9, Batch      4, Loss  0.548678, Average Loss  0.546747, Time  0.372796
2021-09-11 05:20:02.829941 : Epoch  2, Batch    799, Loss  0.870480, Average Loss  0.870405, Time  0.337420
2021-09-11 05:20:05.543309 : Epoch  2, Batch    800, Loss  0.854286, Average Loss  0.870326, Time  0.261685
2021-09-11 05:20:08.243787 : Epoch  2, Batch    801, Loss  0.866309, Average Loss  0.870346, Time  0.262047
2021-09-11 05:20:10.945578 : Epoch  2, Batch    802, Loss  0.869996, Average Loss  0.870104, Time  0.261021
2021-09-11 05:20:13.649271 : Epoch  2, Batch    803, Loss  0.866422, Average Loss  0.870056, Time  0.260026
2021-09-11 05:20:16.385173 : Epoch  2, Batch    804, Loss  0.862188, Average Loss  0.869953, Time  0.265455
2021-09-11 05:20:19.091316 : Epoch  2, Batch    805, Loss  0.891497, Average Loss  0.870057, Time  0.262581
2021-09-11 05:20:21.758143 : Epoch  2, Batch    806, Loss  0.890364, Average Loss  0.870160, Time  0.238721
2021-09-11 05:20:24.407365 : Epoch  2, Batch    807, Loss  0.860809, Average Loss  0.870084, Time  0.243130
2021-09-11 05:20:27.099781 : Epoch  2, Batch    808, Loss  0.869388, Average Loss  0.870122, Time  0.263187
2021-09-11 05:20:29.751130 : Epoch  2, Batch    809, Loss  0.870055, Average Loss  0.870088, Time  0.242149
2021-09-11 05:20:32.438292 : CheckPoint: Validation Loss  0.00058668, Best Loss  0.00057296
2021-09-11 05:20:32.459978 : Epoch  2, Batch    810, Loss  0.873767, Average Loss  0.869911, Time  0.257108
2021-09-11 05:20:34.044840 : Epoch  3, Batch   3279, Loss  0.892475, Average Loss  0.869120, Time  0.185715
2021-09-11 05:20:35.167377 : Epoch  2, Batch    811, Loss  0.870964, Average Loss  0.869993, Time  0.261615
2021-09-11 05:20:35.646814 : Epoch  3, Batch   3280, Loss  0.870645, Average Loss  0.869105, Time  0.171247
2021-09-11 05:20:37.294753 : Epoch  3, Batch   3281, Loss  0.865595, Average Loss  0.869038, Time  0.170481
2021-09-11 05:20:37.870957 : Epoch  2, Batch    812, Loss  0.901707, Average Loss  0.870073, Time  0.269028
2021-09-11 05:20:38.927135 : Epoch  3, Batch   3282, Loss  0.865199, Average Loss  0.868949, Time  0.170396
2021-09-11 05:20:40.533738 : Epoch  3, Batch   3283, Loss  0.878280, Average Loss  0.868928, Time  0.172948
2021-09-11 05:20:40.566783 : Epoch  2, Batch    813, Loss  0.861493, Average Loss  0.870043, Time  0.262327
2021-09-11 05:20:42.158952 : Epoch  3, Batch   3284, Loss  0.860346, Average Loss  0.868867, Time  0.170127
2021-09-11 05:20:43.249035 : Epoch  2, Batch    814, Loss  0.859030, Average Loss  0.869887, Time  0.251341
2021-09-11 05:20:43.811023 : Epoch  3, Batch   3285, Loss  0.867338, Average Loss  0.868793, Time  0.184119
2021-09-11 05:20:45.436040 : Epoch  3, Batch   3286, Loss  0.877062, Average Loss  0.868998, Time  0.176454
2021-09-11 05:20:45.932973 : Epoch  2, Batch    815, Loss  0.864276, Average Loss  0.869897, Time  0.246325
2021-09-11 05:20:47.066820 : Epoch  3, Batch   3287, Loss  0.866842, Average Loss  0.868887, Time  0.169934
2021-09-11 05:20:48.649118 : Epoch  2, Batch    816, Loss  0.852566, Average Loss  0.869719, Time  0.261808
2021-09-11 05:20:48.725036 : Epoch  3, Batch   3288, Loss  0.849505, Average Loss  0.868763, Time  0.175935
2021-09-11 05:20:50.361824 : Epoch  3, Batch   3289, Loss  0.888631, Average Loss  0.868851, Time  0.170596
2021-09-11 05:20:51.283396 : Epoch  2, Batch    817, Loss  0.869397, Average Loss  0.869679, Time  0.241816
2021-09-11 05:20:51.985032 : Epoch  3, Batch   3290, Loss  0.859710, Average Loss  0.868798, Time  0.177614
2021-09-11 05:20:53.599836 : Epoch  3, Batch   3291, Loss  0.866741, Average Loss  0.868716, Time  0.172570
2021-09-11 05:20:53.913815 : Epoch  2, Batch    818, Loss  0.891327, Average Loss  0.869877, Time  0.244707
2021-09-11 05:20:55.248785 : Epoch  3, Batch   3292, Loss  0.859383, Average Loss  0.868696, Time  0.179368
2021-09-11 05:20:56.538351 : Epoch  2, Batch    819, Loss  0.866423, Average Loss  0.869821, Time  0.243444
2021-09-11 05:20:56.889762 : Epoch  3, Batch   3293, Loss  0.843115, Average Loss  0.868668, Time  0.173962
2021-09-11 05:20:58.525796 : Epoch  3, Batch   3294, Loss  0.877666, Average Loss  0.868614, Time  0.180526
2021-09-11 05:20:59.215335 : Epoch  2, Batch    820, Loss  0.886412, Average Loss  0.869869, Time  0.243577
2021-09-11 05:20:59.751724 : CheckPoint: Validation Loss  0.00022834, Best Loss  0.00021921
2021-09-11 05:21:00.139745 : Epoch  3, Batch   3295, Loss  0.839841, Average Loss  0.868348, Time  0.169696
2021-09-11 05:21:01.306883 : Epoch  9, Batch      5, Loss  0.556542, Average Loss  0.546778, Time  0.232648
2021-09-11 05:21:01.774032 : Epoch  3, Batch   3296, Loss  0.864218, Average Loss  0.868355, Time  0.180999
2021-09-11 05:21:01.841060 : Epoch  2, Batch    821, Loss  0.867946, Average Loss  0.869850, Time  0.244806
2021-09-11 05:21:02.875135 : Epoch  9, Batch      6, Loss  0.543401, Average Loss  0.546668, Time  0.233774
2021-09-11 05:21:03.411035 : Epoch  3, Batch   3297, Loss  0.876336, Average Loss  0.868400, Time  0.170213
2021-09-11 05:21:04.653133 : Epoch  9, Batch      7, Loss  0.533453, Average Loss  0.546612, Time  0.451041
2021-09-11 05:21:04.698375 : Epoch  2, Batch    822, Loss  0.855861, Average Loss  0.869825, Time  0.454493
2021-09-11 05:21:05.044035 : Epoch  3, Batch   3298, Loss  0.878360, Average Loss  0.868271, Time  0.170144
2021-09-11 05:21:06.179214 : Epoch  9, Batch      8, Loss  0.543407, Average Loss  0.546646, Time  0.235222
2021-09-11 05:21:06.653026 : Epoch  3, Batch   3299, Loss  0.839086, Average Loss  0.868183, Time  0.170707
2021-09-11 05:21:07.285246 : Epoch  2, Batch    823, Loss  0.861488, Average Loss  0.869794, Time  0.242093
2021-09-11 05:21:07.705037 : Epoch  9, Batch      9, Loss  0.554007, Average Loss  0.546631, Time  0.230772
2021-09-11 05:21:08.261756 : Epoch  3, Batch   3300, Loss  0.853568, Average Loss  0.868180, Time  0.169937
2021-09-11 05:21:09.229831 : Epoch  9, Batch     10, Loss  0.548278, Average Loss  0.546678, Time  0.234183
2021-09-11 05:21:09.875934 : Epoch  2, Batch    824, Loss  0.880873, Average Loss  0.869886, Time  0.238251
2021-09-11 05:21:09.904029 : Epoch  3, Batch   3301, Loss  0.848604, Average Loss  0.868041, Time  0.181594
2021-09-11 05:21:10.782030 : Epoch  9, Batch     11, Loss  0.560340, Average Loss  0.546711, Time  0.230987
2021-09-11 05:21:11.532741 : Epoch  3, Batch   3302, Loss  0.898204, Average Loss  0.868142, Time  0.174540
2021-09-11 05:21:12.321858 : Epoch  9, Batch     12, Loss  0.547654, Average Loss  0.546728, Time  0.236702
2021-09-11 05:21:12.586403 : Epoch  2, Batch    825, Loss  0.876070, Average Loss  0.869926, Time  0.262392
2021-09-11 05:21:13.162793 : Epoch  3, Batch   3303, Loss  0.848312, Average Loss  0.868139, Time  0.170231
2021-09-11 05:21:13.880894 : Epoch  9, Batch     13, Loss  0.528889, Average Loss  0.546628, Time  0.233629
2021-09-11 05:21:14.784740 : Epoch  3, Batch   3304, Loss  0.870107, Average Loss  0.868271, Time  0.174042
2021-09-11 05:21:15.395083 : Epoch  2, Batch    826, Loss  0.865475, Average Loss  0.869793, Time  0.372042
2021-09-11 05:21:15.474983 : Epoch  9, Batch     14, Loss  0.548914, Average Loss  0.546599, Time  0.282928
2021-09-11 05:21:16.420767 : Epoch  3, Batch   3305, Loss  0.872246, Average Loss  0.868316, Time  0.169940
2021-09-11 05:21:17.012453 : Epoch  9, Batch     15, Loss  0.550849, Average Loss  0.546640, Time  0.230660
2021-09-11 05:21:18.033456 : Epoch  2, Batch    827, Loss  0.849393, Average Loss  0.869746, Time  0.245305
2021-09-11 05:21:18.063813 : Epoch  3, Batch   3306, Loss  0.863772, Average Loss  0.868239, Time  0.169970
2021-09-11 05:21:18.544554 : Epoch  9, Batch     16, Loss  0.538931, Average Loss  0.546590, Time  0.230711
2021-09-11 05:21:19.702742 : Epoch  3, Batch   3307, Loss  0.851224, Average Loss  0.868179, Time  0.171337
2021-09-11 05:21:20.092104 : Epoch  9, Batch     17, Loss  0.551611, Average Loss  0.546570, Time  0.231062
2021-09-11 05:21:20.657754 : Epoch  2, Batch    828, Loss  0.887712, Average Loss  0.869836, Time  0.243354
2021-09-11 05:21:21.351763 : Epoch  3, Batch   3308, Loss  0.874969, Average Loss  0.868348, Time  0.174173
2021-09-11 05:21:21.638433 : Epoch  9, Batch     18, Loss  0.555942, Average Loss  0.546643, Time  0.234588
2021-09-11 05:21:22.987781 : Epoch  3, Batch   3309, Loss  0.890010, Average Loss  0.868462, Time  0.174109
2021-09-11 05:21:23.330937 : Epoch  9, Batch     19, Loss  0.539094, Average Loss  0.546580, Time  0.391941
2021-09-11 05:21:23.401163 : Epoch  2, Batch    829, Loss  0.868216, Average Loss  0.869754, Time  0.344039
2021-09-11 05:21:24.611785 : Epoch  3, Batch   3310, Loss  0.838412, Average Loss  0.868249, Time  0.172389
2021-09-11 05:21:24.863932 : Epoch  9, Batch     20, Loss  0.555699, Average Loss  0.546662, Time  0.231420
2021-09-11 05:21:25.993924 : Epoch  2, Batch    830, Loss  0.877261, Average Loss  0.869788, Time  0.241294
2021-09-11 05:21:26.241822 : Epoch  3, Batch   3311, Loss  0.865245, Average Loss  0.868153, Time  0.174079
2021-09-11 05:21:26.386080 : Epoch  9, Batch     21, Loss  0.547103, Average Loss  0.546650, Time  0.231281
2021-09-11 05:21:27.868779 : Epoch  3, Batch   3312, Loss  0.868735, Average Loss  0.868020, Time  0.170170
2021-09-11 05:21:27.911360 : Epoch  9, Batch     22, Loss  0.554517, Average Loss  0.546687, Time  0.230636
2021-09-11 05:21:28.630878 : Epoch  2, Batch    831, Loss  0.885388, Average Loss  0.869773, Time  0.242700
2021-09-11 05:21:29.419224 : Epoch  9, Batch     23, Loss  0.539806, Average Loss  0.546670, Time  0.231304
2021-09-11 05:21:29.488802 : Epoch  3, Batch   3313, Loss  0.888382, Average Loss  0.868078, Time  0.175637
2021-09-11 05:21:30.948782 : Epoch  9, Batch     24, Loss  0.547038, Average Loss  0.546707, Time  0.231217
2021-09-11 05:21:31.081718 : Epoch  3, Batch   3314, Loss  0.877598, Average Loss  0.868113, Time  0.173950
2021-09-11 05:21:31.257816 : Epoch  2, Batch    832, Loss  0.880631, Average Loss  0.869847, Time  0.243904
2021-09-11 05:21:32.474890 : Epoch  9, Batch     25, Loss  0.534997, Average Loss  0.546629, Time  0.230706
2021-09-11 05:21:32.699052 : Epoch  3, Batch   3315, Loss  0.883966, Average Loss  0.868215, Time  0.169807
2021-09-11 05:21:33.952398 : Epoch  2, Batch    833, Loss  0.863485, Average Loss  0.869810, Time  0.326501
2021-09-11 05:21:34.087901 : Epoch  9, Batch     26, Loss  0.547154, Average Loss  0.546580, Time  0.274968
2021-09-11 05:21:34.333935 : Epoch  3, Batch   3316, Loss  0.865138, Average Loss  0.868183, Time  0.173066
2021-09-11 05:21:35.633817 : Epoch  9, Batch     27, Loss  0.535751, Average Loss  0.546545, Time  0.234329
2021-09-11 05:21:35.945746 : Epoch  3, Batch   3317, Loss  0.837318, Average Loss  0.868158, Time  0.172319
2021-09-11 05:21:36.645950 : Epoch  2, Batch    834, Loss  0.877963, Average Loss  0.869772, Time  0.262006
2021-09-11 05:21:37.182082 : Epoch  9, Batch     28, Loss  0.554967, Average Loss  0.546538, Time  0.235867
2021-09-11 05:21:37.584943 : Epoch  3, Batch   3318, Loss  0.870491, Average Loss  0.868183, Time  0.175670
2021-09-11 05:21:38.729468 : Epoch  9, Batch     29, Loss  0.557894, Average Loss  0.546547, Time  0.230927
2021-09-11 05:21:39.202745 : Epoch  3, Batch   3319, Loss  0.872940, Average Loss  0.868087, Time  0.173447
2021-09-11 05:21:39.367836 : Epoch  2, Batch    835, Loss  0.870133, Average Loss  0.869757, Time  0.267565
2021-09-11 05:21:40.256024 : Epoch  9, Batch     30, Loss  0.552326, Average Loss  0.546582, Time  0.230896
2021-09-11 05:21:40.850785 : Epoch  3, Batch   3320, Loss  0.879124, Average Loss  0.868281, Time  0.172422
2021-09-11 05:21:41.784984 : Epoch  9, Batch     31, Loss  0.544015, Average Loss  0.546567, Time  0.233681
2021-09-11 05:21:42.084932 : Epoch  2, Batch    836, Loss  0.874765, Average Loss  0.869747, Time  0.264642
2021-09-11 05:21:42.479075 : Epoch  3, Batch   3321, Loss  0.863277, Average Loss  0.868269, Time  0.170274
2021-09-11 05:21:43.312411 : Epoch  9, Batch     32, Loss  0.553025, Average Loss  0.546557, Time  0.230672
2021-09-11 05:21:44.106918 : Epoch  3, Batch   3322, Loss  0.870646, Average Loss  0.868231, Time  0.174109
2021-09-11 05:21:44.942074 : Epoch  2, Batch    837, Loss  0.891470, Average Loss  0.869760, Time  0.425776
2021-09-11 05:21:44.975895 : Epoch  9, Batch     33, Loss  0.542705, Average Loss  0.546560, Time  0.361625
2021-09-11 05:21:45.705797 : Epoch  3, Batch   3323, Loss  0.863403, Average Loss  0.868221, Time  0.170463
2021-09-11 05:21:46.497338 : Epoch  9, Batch     34, Loss  0.553270, Average Loss  0.546589, Time  0.232019
2021-09-11 05:21:47.336036 : Epoch  3, Batch   3324, Loss  0.857506, Average Loss  0.868239, Time  0.170171
2021-09-11 05:21:47.588782 : Epoch  2, Batch    838, Loss  0.881048, Average Loss  0.869792, Time  0.246467
2021-09-11 05:21:48.057014 : Epoch  9, Batch     35, Loss  0.555408, Average Loss  0.546710, Time  0.232774
2021-09-11 05:21:48.949666 : Epoch  3, Batch   3325, Loss  0.882223, Average Loss  0.868555, Time  0.169751
2021-09-11 05:21:49.613015 : Epoch  9, Batch     36, Loss  0.541485, Average Loss  0.546728, Time  0.231161
2021-09-11 05:21:50.247023 : Epoch  2, Batch    839, Loss  0.878672, Average Loss  0.869853, Time  0.241490
2021-09-11 05:21:50.545032 : Epoch  3, Batch   3326, Loss  0.904575, Average Loss  0.868777, Time  0.177264
2021-09-11 05:21:51.183926 : Epoch  9, Batch     37, Loss  0.545550, Average Loss  0.546753, Time  0.230936
2021-09-11 05:21:52.179037 : Epoch  3, Batch   3327, Loss  0.885964, Average Loss  0.868787, Time  0.184982
2021-09-11 05:21:52.806157 : Epoch  9, Batch     38, Loss  0.547088, Average Loss  0.546786, Time  0.318006
2021-09-11 05:21:52.942997 : Epoch  2, Batch    840, Loss  0.868881, Average Loss  0.870008, Time  0.269243
2021-09-11 05:21:53.786870 : Epoch  3, Batch   3328, Loss  0.870600, Average Loss  0.868912, Time  0.170725
2021-09-11 05:21:54.337342 : Epoch  9, Batch     39, Loss  0.549067, Average Loss  0.546782, Time  0.231322
2021-09-11 05:21:55.425026 : Epoch  3, Batch   3329, Loss  0.861767, Average Loss  0.868928, Time  0.169772
2021-09-11 05:21:55.627451 : Epoch  2, Batch    841, Loss  0.874032, Average Loss  0.870057, Time  0.250917
2021-09-11 05:21:55.871341 : Epoch  9, Batch     40, Loss  0.548163, Average Loss  0.546820, Time  0.234048
2021-09-11 05:21:57.029732 : Epoch  3, Batch   3330, Loss  0.876359, Average Loss  0.868777, Time  0.172531
2021-09-11 05:21:57.433849 : Epoch  9, Batch     41, Loss  0.548347, Average Loss  0.546800, Time  0.232608
2021-09-11 05:21:58.290094 : Epoch  2, Batch    842, Loss  0.862785, Average Loss  0.870029, Time  0.240259
2021-09-11 05:21:58.622738 : Epoch  3, Batch   3331, Loss  0.881401, Average Loss  0.868954, Time  0.172886
2021-09-11 05:21:58.972859 : Epoch  9, Batch     42, Loss  0.562312, Average Loss  0.546855, Time  0.231279
2021-09-11 05:22:00.295820 : Epoch  3, Batch   3332, Loss  0.889313, Average Loss  0.869127, Time  0.184080
2021-09-11 05:22:00.512914 : Epoch  9, Batch     43, Loss  0.532240, Average Loss  0.546761, Time  0.230957
2021-09-11 05:22:00.929932 : Epoch  2, Batch    843, Loss  0.843541, Average Loss  0.869924, Time  0.245090
2021-09-11 05:22:01.930036 : Epoch  3, Batch   3333, Loss  0.851544, Average Loss  0.869013, Time  0.172927
2021-09-11 05:22:02.038977 : Epoch  9, Batch     44, Loss  0.533514, Average Loss  0.546713, Time  0.233596
2021-09-11 05:22:03.559850 : Epoch  3, Batch   3334, Loss  0.869841, Average Loss  0.869083, Time  0.174176
2021-09-11 05:22:03.764104 : Epoch  9, Batch     45, Loss  0.546879, Average Loss  0.546689, Time  0.416907
2021-09-11 05:22:03.814935 : Epoch  2, Batch    844, Loss  0.872437, Average Loss  0.869918, Time  0.458263
2021-09-11 05:22:05.177760 : Epoch  3, Batch   3335, Loss  0.878897, Average Loss  0.869135, Time  0.174751
2021-09-11 05:22:05.291015 : Epoch  9, Batch     46, Loss  0.546457, Average Loss  0.546701, Time  0.232308
2021-09-11 05:22:06.803799 : Epoch  3, Batch   3336, Loss  0.864808, Average Loss  0.868999, Time  0.185310
2021-09-11 05:22:06.834293 : Epoch  9, Batch     47, Loss  0.545923, Average Loss  0.546737, Time  0.231433
2021-09-11 05:22:08.341387 : Epoch  9, Batch     48, Loss  0.547232, Average Loss  0.546808, Time  0.234875
2021-09-11 05:22:08.419791 : Epoch  3, Batch   3337, Loss  0.871307, Average Loss  0.869027, Time  0.176054
2021-09-11 05:22:09.863933 : Epoch  9, Batch     49, Loss  0.528136, Average Loss  0.546701, Time  0.231012
2021-09-11 05:22:10.028034 : Epoch  3, Batch   3338, Loss  0.882769, Average Loss  0.869189, Time  0.169907
2021-09-11 05:22:11.415177 : Epoch  9, Batch     50, Loss  0.556151, Average Loss  0.546757, Time  0.233178
2021-09-11 05:22:11.652760 : Epoch  3, Batch   3339, Loss  0.858305, Average Loss  0.869242, Time  0.169816
2021-09-11 05:22:12.957040 : Epoch  9, Batch     51, Loss  0.534250, Average Loss  0.546761, Time  0.231831
2021-09-11 05:22:13.270761 : Epoch  3, Batch   3340, Loss  0.882788, Average Loss  0.869372, Time  0.171489
2021-09-11 05:22:14.498861 : Epoch  9, Batch     52, Loss  0.540101, Average Loss  0.546695, Time  0.232520
2021-09-11 05:22:14.898828 : Epoch  3, Batch   3341, Loss  0.851863, Average Loss  0.869450, Time  0.170082
2021-09-11 05:22:16.107668 : Epoch  9, Batch     53, Loss  0.540420, Average Loss  0.546668, Time  0.311482
2021-09-11 05:22:16.520035 : Epoch  3, Batch   3342, Loss  0.882854, Average Loss  0.869535, Time  0.176587
2021-09-11 05:22:17.636914 : Epoch  9, Batch     54, Loss  0.550536, Average Loss  0.546720, Time  0.234675
2021-09-11 05:22:18.143821 : Epoch  3, Batch   3343, Loss  0.866910, Average Loss  0.869362, Time  0.170689
2021-09-11 05:22:19.167894 : Epoch  9, Batch     55, Loss  0.549949, Average Loss  0.546711, Time  0.231304
2021-09-11 05:22:19.774038 : Epoch  3, Batch   3344, Loss  0.856465, Average Loss  0.869361, Time  0.176217
2021-09-11 05:22:20.682683 : Epoch  9, Batch     56, Loss  0.543079, Average Loss  0.546658, Time  0.231538
2021-09-11 05:22:21.410899 : Epoch  3, Batch   3345, Loss  0.881975, Average Loss  0.869348, Time  0.169994
2021-09-11 05:22:22.196053 : Epoch  9, Batch     57, Loss  0.556211, Average Loss  0.546722, Time  0.230809
2021-09-11 05:22:23.052784 : Epoch  3, Batch   3346, Loss  0.818331, Average Loss  0.868988, Time  0.180020
2021-09-11 05:22:23.754265 : Epoch  9, Batch     58, Loss  0.549914, Average Loss  0.546744, Time  0.233361
2021-09-11 05:22:24.693749 : Epoch  3, Batch   3347, Loss  0.822564, Average Loss  0.868710, Time  0.172562
2021-09-11 05:22:25.297868 : Epoch  9, Batch     59, Loss  0.549737, Average Loss  0.546743, Time  0.231360
2021-09-11 05:22:26.344030 : Epoch  3, Batch   3348, Loss  0.864071, Average Loss  0.868696, Time  0.171773
2021-09-11 05:22:26.814002 : Epoch  9, Batch     60, Loss  0.543794, Average Loss  0.546741, Time  0.230398
2021-09-11 05:22:27.972950 : Epoch  3, Batch   3349, Loss  0.867641, Average Loss  0.868671, Time  0.181209
2021-09-11 05:22:28.324983 : Epoch  9, Batch     61, Loss  0.547845, Average Loss  0.546721, Time  0.232314
2021-09-11 05:22:29.599793 : Epoch  3, Batch   3350, Loss  0.893062, Average Loss  0.868842, Time  0.172131
2021-09-11 05:22:29.852265 : Epoch  9, Batch     62, Loss  0.543067, Average Loss  0.546719, Time  0.234055
2021-09-11 05:22:31.219871 : Epoch  3, Batch   3351, Loss  0.884760, Average Loss  0.868997, Time  0.174130
2021-09-11 05:22:31.379108 : Epoch  9, Batch     63, Loss  0.536002, Average Loss  0.546641, Time  0.234972
2021-09-11 05:22:32.880391 : Epoch  3, Batch   3352, Loss  0.897951, Average Loss  0.869184, Time  0.178543
2021-09-11 05:22:32.989115 : Epoch  9, Batch     64, Loss  0.541177, Average Loss  0.546635, Time  0.316437
2021-09-11 05:22:34.500032 : Epoch  3, Batch   3353, Loss  0.887882, Average Loss  0.869259, Time  0.169725
2021-09-11 05:22:34.549862 : Epoch  9, Batch     65, Loss  0.541918, Average Loss  0.546638, Time  0.232987
2021-09-11 05:22:36.090249 : Epoch  9, Batch     66, Loss  0.550802, Average Loss  0.546673, Time  0.234377
2021-09-11 05:22:36.120761 : Epoch  3, Batch   3354, Loss  0.847822, Average Loss  0.869024, Time  0.173236
2021-09-11 05:22:37.607684 : Epoch  9, Batch     67, Loss  0.529393, Average Loss  0.546584, Time  0.230598
2021-09-11 05:22:37.769939 : Epoch  3, Batch   3355, Loss  0.852248, Average Loss  0.868954, Time  0.179536
2021-09-11 05:22:39.140917 : Epoch  9, Batch     68, Loss  0.538385, Average Loss  0.546556, Time  0.237993
2021-09-11 05:22:39.404036 : Epoch  3, Batch   3356, Loss  0.871006, Average Loss  0.869087, Time  0.172946
2021-09-11 05:22:40.688085 : Epoch  9, Batch     69, Loss  0.539065, Average Loss  0.546526, Time  0.239197
2021-09-11 05:22:41.045036 : Epoch  3, Batch   3357, Loss  0.896853, Average Loss  0.869275, Time  0.172668
2021-09-11 05:22:42.220443 : Epoch  9, Batch     70, Loss  0.549556, Average Loss  0.546579, Time  0.231599
2021-09-11 05:22:42.655084 : Epoch  3, Batch   3358, Loss  0.867229, Average Loss  0.869252, Time  0.171443
2021-09-11 05:22:43.752772 : Epoch  9, Batch     71, Loss  0.555977, Average Loss  0.546594, Time  0.233625
2021-09-11 05:22:44.248083 : Epoch  3, Batch   3359, Loss  0.879031, Average Loss  0.869483, Time  0.176234
2021-09-11 05:22:45.267451 : Epoch  9, Batch     72, Loss  0.537118, Average Loss  0.546623, Time  0.231724
2021-09-11 05:22:45.901849 : Epoch  3, Batch   3360, Loss  0.896053, Average Loss  0.869651, Time  0.185880
2021-09-11 05:22:46.792067 : Epoch  9, Batch     73, Loss  0.549479, Average Loss  0.546639, Time  0.237308
2021-09-11 05:22:47.525755 : Epoch  3, Batch   3361, Loss  0.867625, Average Loss  0.869724, Time  0.170316
2021-09-11 05:22:48.309381 : Epoch  9, Batch     74, Loss  0.542695, Average Loss  0.546615, Time  0.230811
2021-09-11 05:22:49.144787 : Epoch  3, Batch   3362, Loss  0.850355, Average Loss  0.869433, Time  0.170135
2021-09-11 05:22:50.769794 : Epoch  3, Batch   3363, Loss  0.891061, Average Loss  0.869628, Time  0.169978
2021-09-11 05:22:52.353092 : Epoch  9, Batch     75, Loss  0.531880, Average Loss  0.546547, Time  0.269846
2021-09-11 05:22:52.411752 : Epoch  3, Batch   3364, Loss  0.899616, Average Loss  0.869914, Time  0.174911
2021-09-11 05:22:53.873245 : Epoch  9, Batch     76, Loss  0.556679, Average Loss  0.546581, Time  0.231011
2021-09-11 05:22:54.036034 : Epoch  3, Batch   3365, Loss  0.878391, Average Loss  0.869880, Time  0.169977
2021-09-11 05:22:55.390887 : Epoch  9, Batch     77, Loss  0.529669, Average Loss  0.546472, Time  0.230882
2021-09-11 05:22:55.661035 : Epoch  3, Batch   3366, Loss  0.888031, Average Loss  0.869900, Time  0.173500
2021-09-11 05:22:56.908256 : Epoch  9, Batch     78, Loss  0.551291, Average Loss  0.546466, Time  0.232867
2021-09-11 05:22:57.079935 : Epoch  9, Batch     79, Loss  0.572463, Average Loss  0.546550, Time  0.111965
2021-09-11 05:22:57.258952 : Epoch  3, Batch   3367, Loss  0.883896, Average Loss  0.869836, Time  0.170166
2021-09-11 05:22:58.614209 : Epoch  9, Batch     80, Loss  0.541670, Average Loss  0.546512, Time  0.230869
2021-09-11 05:22:58.882861 : Epoch  3, Batch   3368, Loss  0.875203, Average Loss  0.869855, Time  0.185650
2021-09-11 05:23:00.143891 : Epoch  9, Batch     81, Loss  0.544280, Average Loss  0.546485, Time  0.231945
2021-09-11 05:23:00.520794 : Epoch  3, Batch   3369, Loss  0.846589, Average Loss  0.869639, Time  0.170151
2021-09-11 05:23:01.664412 : Epoch  9, Batch     82, Loss  0.549602, Average Loss  0.546466, Time  0.231152
2021-09-11 05:23:02.157831 : Epoch  3, Batch   3370, Loss  0.883367, Average Loss  0.869634, Time  0.176161
2021-09-11 05:23:03.178035 : Epoch  9, Batch     83, Loss  0.561921, Average Loss  0.546613, Time  0.232872
2021-09-11 05:23:03.796036 : Epoch  3, Batch   3371, Loss  0.882488, Average Loss  0.869620, Time  0.175232
2021-09-11 05:23:04.706388 : Epoch  9, Batch     84, Loss  0.554551, Average Loss  0.546670, Time  0.231297
2021-09-11 05:23:05.427036 : Epoch  3, Batch   3372, Loss  0.839484, Average Loss  0.869352, Time  0.179773
2021-09-11 05:23:06.229094 : Epoch  9, Batch     85, Loss  0.541717, Average Loss  0.546570, Time  0.231627
2021-09-11 05:23:07.056792 : Epoch  3, Batch   3373, Loss  0.852463, Average Loss  0.869180, Time  0.175874
2021-09-11 05:23:07.755038 : Epoch  9, Batch     86, Loss  0.564702, Average Loss  0.546638, Time  0.232630
2021-09-11 05:23:08.689855 : Epoch  3, Batch   3374, Loss  0.879982, Average Loss  0.869155, Time  0.170741
2021-09-11 05:23:09.277186 : Epoch  9, Batch     87, Loss  0.547378, Average Loss  0.546620, Time  0.234560
2021-09-11 05:23:10.303747 : Epoch  3, Batch   3375, Loss  0.873274, Average Loss  0.869158, Time  0.175513
2021-09-11 05:23:10.804912 : Epoch  9, Batch     88, Loss  0.566372, Average Loss  0.546678, Time  0.235382
2021-09-11 05:23:11.989029 : Epoch  3, Batch   3376, Loss  0.839655, Average Loss  0.869097, Time  0.175228
2021-09-11 05:23:12.331844 : Epoch  9, Batch     89, Loss  0.538885, Average Loss  0.546697, Time  0.232992
2021-09-11 05:23:13.618021 : Epoch  3, Batch   3377, Loss  0.874952, Average Loss  0.869198, Time  0.174551
2021-09-11 05:23:13.926423 : Epoch  9, Batch     90, Loss  0.538223, Average Loss  0.546632, Time  0.313103
2021-09-11 05:23:15.243760 : Epoch  3, Batch   3378, Loss  0.847754, Average Loss  0.869021, Time  0.170370
2021-09-11 05:23:15.476124 : Epoch  9, Batch     91, Loss  0.548188, Average Loss  0.546646, Time  0.231726
2021-09-11 05:23:16.996848 : Epoch  9, Batch     92, Loss  0.542251, Average Loss  0.546533, Time  0.231568
2021-09-11 05:23:18.526211 : Epoch  9, Batch     93, Loss  0.528482, Average Loss  0.546493, Time  0.234308
2021-09-11 05:23:20.042998 : Epoch  9, Batch     94, Loss  0.550687, Average Loss  0.546519, Time  0.231466
2021-09-11 05:23:21.564920 : Epoch  9, Batch     95, Loss  0.541416, Average Loss  0.546493, Time  0.231466
2021-09-11 05:23:23.118160 : Epoch  9, Batch     96, Loss  0.538100, Average Loss  0.546405, Time  0.232450
2021-09-11 05:23:24.637190 : Epoch  9, Batch     97, Loss  0.551877, Average Loss  0.546449, Time  0.230977
2021-09-11 05:23:26.168872 : Epoch  9, Batch     98, Loss  0.557946, Average Loss  0.546459, Time  0.231082
2021-09-11 05:23:27.689508 : Epoch  9, Batch     99, Loss  0.534186, Average Loss  0.546326, Time  0.232088
2021-09-11 05:23:29.224365 : Epoch  9, Batch    100, Loss  0.555173, Average Loss  0.546371, Time  0.231246
2021-09-11 05:23:30.829849 : Epoch  9, Batch    101, Loss  0.555550, Average Loss  0.546404, Time  0.313180
2021-09-11 05:23:32.369118 : Epoch  9, Batch    102, Loss  0.542240, Average Loss  0.546311, Time  0.232027
2021-09-11 05:23:33.900388 : Epoch  9, Batch    103, Loss  0.555355, Average Loss  0.546339, Time  0.232476
2021-09-11 05:23:35.430413 : Epoch  9, Batch    104, Loss  0.546134, Average Loss  0.546362, Time  0.231217
2021-09-11 05:24:32.032763 : CheckPoint: Validation Loss  0.00023153, Best Loss  0.00021921
2021-09-11 05:24:33.556400 : Epoch  9, Batch    105, Loss  0.542046, Average Loss  0.546382, Time  0.230718
2021-09-11 05:24:35.075304 : Epoch  9, Batch    106, Loss  0.554375, Average Loss  0.546483, Time  0.229934
2021-09-11 05:24:36.609130 : Epoch  9, Batch    107, Loss  0.524961, Average Loss  0.546367, Time  0.231199
2021-09-11 05:24:38.126275 : Epoch  9, Batch    108, Loss  0.542317, Average Loss  0.546313, Time  0.230482
2021-09-11 05:24:39.645685 : Epoch  9, Batch    109, Loss  0.554020, Average Loss  0.546430, Time  0.233551
2021-09-11 05:24:41.171906 : Epoch  9, Batch    110, Loss  0.534591, Average Loss  0.546357, Time  0.230741
2021-09-11 05:24:42.757938 : Epoch  9, Batch    111, Loss  0.551273, Average Loss  0.546359, Time  0.292524
2021-09-11 05:24:44.299417 : Epoch  9, Batch    112, Loss  0.555828, Average Loss  0.546448, Time  0.230634
2021-09-11 05:24:45.835923 : Epoch  9, Batch    113, Loss  0.551367, Average Loss  0.546453, Time  0.231015
2021-09-11 05:24:47.433397 : Epoch  9, Batch    114, Loss  0.572175, Average Loss  0.546515, Time  0.313827
2021-09-11 05:24:48.967208 : Epoch  9, Batch    115, Loss  0.545428, Average Loss  0.546530, Time  0.231096
2021-09-11 05:24:50.482123 : Epoch  9, Batch    116, Loss  0.543953, Average Loss  0.546574, Time  0.232151
2021-09-11 05:24:52.001129 : Epoch  9, Batch    117, Loss  0.558201, Average Loss  0.546763, Time  0.230623
2021-09-11 05:24:53.532000 : Epoch  9, Batch    118, Loss  0.533898, Average Loss  0.546764, Time  0.230635
2021-09-11 05:24:55.055392 : Epoch  9, Batch    119, Loss  0.532078, Average Loss  0.546712, Time  0.231526
2021-09-11 05:24:56.584818 : Epoch  9, Batch    120, Loss  0.563803, Average Loss  0.546771, Time  0.231904
2021-09-11 05:24:58.119991 : Epoch  9, Batch    121, Loss  0.555806, Average Loss  0.546861, Time  0.240593
2021-09-11 05:24:59.654374 : Epoch  9, Batch    122, Loss  0.557222, Average Loss  0.546856, Time  0.233759
2021-09-11 05:25:01.197833 : Epoch  9, Batch    123, Loss  0.562712, Average Loss  0.546914, Time  0.232335
2021-09-11 05:25:02.765195 : Epoch  9, Batch    124, Loss  0.549648, Average Loss  0.546890, Time  0.230609
2021-09-11 05:25:04.414074 : Epoch  9, Batch    125, Loss  0.544618, Average Loss  0.546810, Time  0.316798
2021-09-11 05:25:05.954371 : Epoch  9, Batch    126, Loss  0.538545, Average Loss  0.546823, Time  0.234040
2021-09-11 05:25:07.496388 : Epoch  9, Batch    127, Loss  0.558999, Average Loss  0.546867, Time  0.235386
2021-09-11 05:25:09.030408 : Epoch  9, Batch    128, Loss  0.551933, Average Loss  0.546939, Time  0.231320
2021-09-11 05:25:10.572956 : Epoch  9, Batch    129, Loss  0.549281, Average Loss  0.546973, Time  0.233314
2021-09-11 05:25:12.108019 : Epoch  9, Batch    130, Loss  0.548880, Average Loss  0.547021, Time  0.230914
2021-09-11 05:25:13.657428 : Epoch  9, Batch    131, Loss  0.552298, Average Loss  0.547072, Time  0.231054
2021-09-11 05:25:15.201415 : Epoch  9, Batch    132, Loss  0.543842, Average Loss  0.547072, Time  0.230653
2021-09-11 05:25:16.743039 : Epoch  9, Batch    133, Loss  0.545408, Average Loss  0.547076, Time  0.232492
2021-09-11 05:25:18.290457 : Epoch  9, Batch    134, Loss  0.535539, Average Loss  0.547048, Time  0.231927
2021-09-11 05:25:19.813387 : Epoch  9, Batch    135, Loss  0.553017, Average Loss  0.547110, Time  0.230463
2021-09-11 05:25:21.417377 : Epoch  9, Batch    136, Loss  0.527477, Average Loss  0.546953, Time  0.233363
2021-09-11 05:25:22.953850 : Epoch  9, Batch    137, Loss  0.550389, Average Loss  0.546928, Time  0.235227
2021-09-11 05:25:24.511372 : Epoch  9, Batch    138, Loss  0.550501, Average Loss  0.546913, Time  0.231497
2021-09-11 05:25:26.114458 : Epoch  9, Batch    139, Loss  0.551114, Average Loss  0.547036, Time  0.293856
2021-09-11 05:25:27.649876 : Epoch  9, Batch    140, Loss  0.528513, Average Loss  0.547001, Time  0.232696
2021-09-11 05:25:29.178047 : Epoch  9, Batch    141, Loss  0.552533, Average Loss  0.546988, Time  0.230705
2021-09-11 05:25:30.812852 : Epoch  9, Batch    142, Loss  0.550311, Average Loss  0.546987, Time  0.315698
2021-09-11 05:25:32.360975 : Epoch  9, Batch    143, Loss  0.536500, Average Loss  0.546936, Time  0.235137
2021-09-11 05:25:33.897418 : Epoch  9, Batch    144, Loss  0.549172, Average Loss  0.547003, Time  0.232827
2021-09-11 05:25:35.427935 : Epoch  9, Batch    145, Loss  0.530447, Average Loss  0.546830, Time  0.230640
2021-09-11 05:25:36.988117 : Epoch  9, Batch    146, Loss  0.556169, Average Loss  0.546865, Time  0.231394
2021-09-11 05:25:38.530807 : Epoch  9, Batch    147, Loss  0.549891, Average Loss  0.546865, Time  0.233258
2021-09-11 05:25:40.065370 : Epoch  9, Batch    148, Loss  0.541333, Average Loss  0.546801, Time  0.230530
2021-09-11 05:25:41.589008 : Epoch  9, Batch    149, Loss  0.557466, Average Loss  0.546881, Time  0.231198
2021-09-11 05:25:43.118146 : Epoch  9, Batch    150, Loss  0.538909, Average Loss  0.546865, Time  0.231416
2021-09-11 05:25:44.644787 : Epoch  9, Batch    151, Loss  0.549516, Average Loss  0.546876, Time  0.233185
2021-09-11 05:25:46.169063 : Epoch  9, Batch    152, Loss  0.541491, Average Loss  0.546868, Time  0.230708
2021-09-11 05:25:47.782043 : Epoch  9, Batch    153, Loss  0.544299, Average Loss  0.546825, Time  0.313598
2021-09-11 05:25:49.322071 : Epoch  9, Batch    154, Loss  0.552379, Average Loss  0.546848, Time  0.230535
2021-09-11 05:25:50.860444 : Epoch  9, Batch    155, Loss  0.549922, Average Loss  0.546867, Time  0.230360
2021-09-11 05:25:52.402781 : Epoch  9, Batch    156, Loss  0.561784, Average Loss  0.546864, Time  0.231885
2021-09-11 05:25:53.930850 : Epoch  9, Batch    157, Loss  0.552127, Average Loss  0.546896, Time  0.231475
2021-09-11 05:25:55.458973 : Epoch  9, Batch    158, Loss  0.546744, Average Loss  0.546948, Time  0.231695
2021-09-11 05:25:57.000265 : Epoch  9, Batch    159, Loss  0.538416, Average Loss  0.546949, Time  0.230868
2021-09-11 05:25:58.515112 : Epoch  9, Batch    160, Loss  0.538405, Average Loss  0.546840, Time  0.231590
2021-09-11 05:26:00.034624 : Epoch  9, Batch    161, Loss  0.551780, Average Loss  0.546927, Time  0.234853
2021-09-11 05:26:01.553933 : Epoch  9, Batch    162, Loss  0.548842, Average Loss  0.546959, Time  0.230469
2021-09-11 05:26:03.093369 : Epoch  9, Batch    163, Loss  0.557763, Average Loss  0.546982, Time  0.234254
2021-09-11 05:26:04.705371 : Epoch  9, Batch    164, Loss  0.556731, Average Loss  0.547079, Time  0.314225
2021-09-11 05:26:06.229401 : Epoch  9, Batch    165, Loss  0.533407, Average Loss  0.547036, Time  0.233753
2021-09-11 05:26:07.747358 : Epoch  9, Batch    166, Loss  0.557083, Average Loss  0.547120, Time  0.232788
2021-09-11 05:26:08.536686 : CheckPoint: Validation Loss  0.00030362, Best Loss  0.00029375
2021-09-11 05:26:09.293963 : Epoch  9, Batch    167, Loss  0.557741, Average Loss  0.547222, Time  0.233803
2021-09-11 05:26:10.826839 : Epoch  9, Batch    168, Loss  0.534326, Average Loss  0.547145, Time  0.233351
2021-09-11 05:26:11.188568 : Epoch  2, Batch    845, Loss  0.886843, Average Loss  0.869847, Time  0.260408
2021-09-11 05:26:12.347421 : Epoch  9, Batch    169, Loss  0.550548, Average Loss  0.547206, Time  0.230695
2021-09-11 05:26:14.033310 : Epoch  2, Batch    846, Loss  0.853562, Average Loss  0.869640, Time  0.436886
2021-09-11 05:26:14.087237 : Epoch  9, Batch    170, Loss  0.537768, Average Loss  0.547049, Time  0.384809
2021-09-11 05:26:15.592462 : Epoch  9, Batch    171, Loss  0.540029, Average Loss  0.547056, Time  0.230581
2021-09-11 05:26:16.658246 : Epoch  2, Batch    847, Loss  0.876294, Average Loss  0.869702, Time  0.240789
2021-09-11 05:26:17.117891 : Epoch  9, Batch    172, Loss  0.540136, Average Loss  0.547058, Time  0.233432
2021-09-11 05:26:18.655051 : Epoch  9, Batch    173, Loss  0.558186, Average Loss  0.547053, Time  0.231796
2021-09-11 05:26:19.339055 : Epoch  2, Batch    848, Loss  0.867867, Average Loss  0.869688, Time  0.242579
2021-09-11 05:26:20.197267 : Epoch  9, Batch    174, Loss  0.541523, Average Loss  0.547056, Time  0.231775
2021-09-11 05:26:22.019868 : Epoch  2, Batch    849, Loss  0.888924, Average Loss  0.869734, Time  0.251055
2021-09-11 05:26:24.132069 : Epoch  9, Batch    175, Loss  0.556570, Average Loss  0.547128, Time  0.230816
2021-09-11 05:26:24.687818 : Epoch  2, Batch    850, Loss  0.867630, Average Loss  0.869741, Time  0.240239
2021-09-11 05:26:25.818368 : Epoch  9, Batch    176, Loss  0.534381, Average Loss  0.547085, Time  0.230769
2021-09-11 05:26:27.538449 : Epoch  9, Batch    177, Loss  0.548224, Average Loss  0.547162, Time  0.428638
2021-09-11 05:26:27.594359 : Epoch  2, Batch    851, Loss  0.888449, Average Loss  0.869908, Time  0.453596
2021-09-11 05:26:29.066144 : Epoch  9, Batch    178, Loss  0.547519, Average Loss  0.547102, Time  0.233423
2021-09-11 05:26:30.211158 : Epoch  2, Batch    852, Loss  0.865712, Average Loss  0.869839, Time  0.243558
2021-09-11 05:26:30.588425 : Epoch  9, Batch    179, Loss  0.552938, Average Loss  0.547155, Time  0.231092
2021-09-11 05:26:32.143952 : Epoch  9, Batch    180, Loss  0.560098, Average Loss  0.547230, Time  0.231064
2021-09-11 05:26:32.916407 : Epoch  2, Batch    853, Loss  0.869250, Average Loss  0.869842, Time  0.239735
2021-09-11 05:26:33.681010 : Epoch  9, Batch    181, Loss  0.551344, Average Loss  0.547205, Time  0.231461
2021-09-11 05:26:35.217394 : Epoch  9, Batch    182, Loss  0.559177, Average Loss  0.547243, Time  0.232504
2021-09-11 05:26:35.607928 : Epoch  2, Batch    854, Loss  0.872320, Average Loss  0.869914, Time  0.242694
2021-09-11 05:26:36.747044 : Epoch  9, Batch    183, Loss  0.535905, Average Loss  0.547165, Time  0.232279
2021-09-11 05:26:38.474404 : Epoch  2, Batch    855, Loss  0.893884, Average Loss  0.870062, Time  0.450002
2021-09-11 05:26:38.522228 : Epoch  9, Batch    184, Loss  0.557941, Average Loss  0.547253, Time  0.430610
2021-09-11 05:26:40.049387 : Epoch  9, Batch    185, Loss  0.538026, Average Loss  0.547190, Time  0.235765
2021-09-11 05:26:41.131942 : Epoch  2, Batch    856, Loss  0.860251, Average Loss  0.870105, Time  0.241766
2021-09-11 05:26:41.591385 : Epoch  9, Batch    186, Loss  0.550221, Average Loss  0.547199, Time  0.237585
2021-09-11 05:26:43.122843 : Epoch  9, Batch    187, Loss  0.550865, Average Loss  0.547153, Time  0.230747
2021-09-11 05:26:43.789392 : Epoch  2, Batch    857, Loss  0.855981, Average Loss  0.870033, Time  0.240533
2021-09-11 05:26:44.648252 : Epoch  9, Batch    188, Loss  0.547567, Average Loss  0.547203, Time  0.230767
2021-09-11 05:26:46.186996 : Epoch  9, Batch    189, Loss  0.544596, Average Loss  0.547140, Time  0.234702
2021-09-11 05:26:46.462056 : Epoch  2, Batch    858, Loss  0.886370, Average Loss  0.870224, Time  0.245575
2021-09-11 05:26:47.709114 : Epoch  9, Batch    190, Loss  0.538865, Average Loss  0.547111, Time  0.231188
2021-09-11 05:26:49.173042 : Epoch  2, Batch    859, Loss  0.879206, Average Loss  0.870279, Time  0.244032
2021-09-11 05:26:49.506934 : Epoch  9, Batch    191, Loss  0.543766, Average Loss  0.547095, Time  0.231363
2021-09-11 05:26:51.040959 : Epoch  9, Batch    192, Loss  0.548707, Average Loss  0.547148, Time  0.233457
2021-09-11 05:26:51.864327 : Epoch  2, Batch    860, Loss  0.884344, Average Loss  0.870388, Time  0.250658
2021-09-11 05:26:52.578044 : Epoch  9, Batch    193, Loss  0.539485, Average Loss  0.547126, Time  0.231276
2021-09-11 05:26:54.101344 : Epoch  9, Batch    194, Loss  0.556083, Average Loss  0.547143, Time  0.230701
2021-09-11 05:26:54.516944 : Epoch  2, Batch    861, Loss  0.857479, Average Loss  0.870282, Time  0.245520
2021-09-11 05:26:55.619611 : Epoch  9, Batch    195, Loss  0.538295, Average Loss  0.547004, Time  0.231004
2021-09-11 05:26:57.372416 : Epoch  9, Batch    196, Loss  0.547753, Average Loss  0.547010, Time  0.455613
2021-09-11 05:26:57.419726 : Epoch  2, Batch    862, Loss  0.856051, Average Loss  0.870287, Time  0.459922
2021-09-11 05:26:58.902430 : Epoch  9, Batch    197, Loss  0.545514, Average Loss  0.547063, Time  0.231727
2021-09-11 05:27:00.049240 : Epoch  2, Batch    863, Loss  0.868366, Average Loss  0.870299, Time  0.242525
2021-09-11 05:27:00.424376 : Epoch  9, Batch    198, Loss  0.538239, Average Loss  0.547113, Time  0.235527
2021-09-11 05:27:02.011076 : Epoch  9, Batch    199, Loss  0.551112, Average Loss  0.547053, Time  0.230898
2021-09-11 05:27:02.692160 : Epoch  2, Batch    864, Loss  0.861646, Average Loss  0.870374, Time  0.242270
2021-09-11 05:27:03.547416 : Epoch  9, Batch    200, Loss  0.543435, Average Loss  0.547031, Time  0.233740
2021-09-11 05:27:05.076131 : Epoch  9, Batch    201, Loss  0.546616, Average Loss  0.547011, Time  0.233591
2021-09-11 05:27:05.335900 : Epoch  2, Batch    865, Loss  0.852733, Average Loss  0.870302, Time  0.245828
2021-09-11 05:27:06.613382 : Epoch  9, Batch    202, Loss  0.545424, Average Loss  0.546982, Time  0.230999
2021-09-11 05:27:08.054766 : Epoch  2, Batch    866, Loss  0.878451, Average Loss  0.870322, Time  0.324339
2021-09-11 05:27:08.178762 : Epoch  9, Batch    203, Loss  0.561573, Average Loss  0.547018, Time  0.262678
2021-09-11 05:27:09.719420 : Epoch  9, Batch    204, Loss  0.540219, Average Loss  0.546975, Time  0.230667
2021-09-11 05:27:10.716928 : Epoch  2, Batch    867, Loss  0.878096, Average Loss  0.870400, Time  0.241379
2021-09-11 05:27:13.361085 : Epoch  2, Batch    868, Loss  0.893416, Average Loss  0.870514, Time  0.247334
2021-09-11 05:27:16.039987 : Epoch  2, Batch    869, Loss  0.878779, Average Loss  0.870634, Time  0.240342
2021-09-11 05:27:18.701922 : Epoch  2, Batch    870, Loss  0.886714, Average Loss  0.870804, Time  0.241576
2021-09-11 05:27:21.324339 : Epoch  2, Batch    871, Loss  0.862310, Average Loss  0.870706, Time  0.240167
2021-09-11 05:27:24.045867 : Epoch  2, Batch    872, Loss  0.880775, Average Loss  0.870771, Time  0.323677
2021-09-11 05:27:26.754806 : Epoch  2, Batch    873, Loss  0.866749, Average Loss  0.870665, Time  0.320285
2021-09-11 05:27:29.504388 : Epoch  2, Batch    874, Loss  0.880316, Average Loss  0.870626, Time  0.324795
2021-09-11 05:27:32.201820 : Epoch  2, Batch    875, Loss  0.882289, Average Loss  0.870545, Time  0.324387
2021-09-11 05:27:34.940908 : Epoch  2, Batch    876, Loss  0.871645, Average Loss  0.870445, Time  0.259545
2021-09-11 05:27:37.558776 : Epoch  2, Batch    877, Loss  0.864937, Average Loss  0.870397, Time  0.241406
2021-09-11 05:27:40.199970 : Epoch  2, Batch    878, Loss  0.876008, Average Loss  0.870458, Time  0.241307
2021-09-11 05:27:42.833445 : Epoch  2, Batch    879, Loss  0.851657, Average Loss  0.870333, Time  0.246124
2021-09-11 05:27:45.461354 : Epoch  2, Batch    880, Loss  0.868466, Average Loss  0.870422, Time  0.250583
2021-09-11 05:27:48.075318 : Epoch  2, Batch    881, Loss  0.878050, Average Loss  0.870485, Time  0.243150
2021-09-11 05:27:50.688427 : Epoch  2, Batch    882, Loss  0.851860, Average Loss  0.870406, Time  0.239797
2021-09-11 05:27:53.314055 : Epoch  2, Batch    883, Loss  0.880125, Average Loss  0.870454, Time  0.246725
2021-09-11 05:27:55.659732 : CheckPoint: Validation Loss  0.00063422, Best Loss  0.00057296
2021-09-11 05:27:55.924826 : Epoch  2, Batch    884, Loss  0.862210, Average Loss  0.870542, Time  0.240223
2021-09-11 05:27:57.277900 : Epoch  3, Batch   3379, Loss  0.865378, Average Loss  0.868985, Time  0.184970
2021-09-11 05:27:58.596061 : Epoch  2, Batch    885, Loss  0.864039, Average Loss  0.870493, Time  0.243183
2021-09-11 05:27:58.880739 : Epoch  3, Batch   3380, Loss  0.873158, Average Loss  0.868827, Time  0.170750
2021-09-11 05:28:00.517909 : Epoch  3, Batch   3381, Loss  0.893171, Average Loss  0.868951, Time  0.179889
2021-09-11 05:28:01.226906 : Epoch  2, Batch    886, Loss  0.846913, Average Loss  0.870496, Time  0.242548
2021-09-11 05:28:02.127025 : Epoch  3, Batch   3382, Loss  0.861076, Average Loss  0.868871, Time  0.182101
2021-09-11 05:28:03.721019 : Epoch  3, Batch   3383, Loss  0.857957, Average Loss  0.868801, Time  0.174756
2021-09-11 05:28:03.872391 : Epoch  2, Batch    887, Loss  0.863645, Average Loss  0.870398, Time  0.242012
2021-09-11 05:28:05.315036 : Epoch  3, Batch   3384, Loss  0.859860, Average Loss  0.868615, Time  0.170692
2021-09-11 05:28:06.483129 : Epoch  2, Batch    888, Loss  0.886622, Average Loss  0.870566, Time  0.239857
2021-09-11 05:28:06.528774 : CheckPoint: Validation Loss  0.00022220, Best Loss  0.00021921
2021-09-11 05:28:06.903802 : Epoch  3, Batch   3385, Loss  0.876527, Average Loss  0.868619, Time  0.173680
2021-09-11 05:28:08.042049 : Epoch  9, Batch    205, Loss  0.547037, Average Loss  0.546928, Time  0.236170
2021-09-11 05:28:08.486023 : Epoch  3, Batch   3386, Loss  0.854936, Average Loss  0.868599, Time  0.173740
2021-09-11 05:28:09.116576 : Epoch  2, Batch    889, Loss  0.856788, Average Loss  0.870549, Time  0.242152
2021-09-11 05:28:09.561321 : Epoch  9, Batch    206, Loss  0.540219, Average Loss  0.546912, Time  0.230722
2021-09-11 05:28:10.085747 : Epoch  3, Batch   3387, Loss  0.855176, Average Loss  0.868566, Time  0.171724
2021-09-11 05:28:11.090365 : Epoch  9, Batch    207, Loss  0.556121, Average Loss  0.547025, Time  0.230335
2021-09-11 05:28:11.688874 : Epoch  3, Batch   3388, Loss  0.865722, Average Loss  0.868437, Time  0.170020
2021-09-11 05:28:11.766319 : Epoch  2, Batch    890, Loss  0.846805, Average Loss  0.870421, Time  0.243719
2021-09-11 05:28:12.615380 : Epoch  9, Batch    208, Loss  0.548234, Average Loss  0.547049, Time  0.232209
2021-09-11 05:28:13.329747 : Epoch  3, Batch   3389, Loss  0.845402, Average Loss  0.868472, Time  0.173776
2021-09-11 05:28:14.206414 : Epoch  9, Batch    209, Loss  0.560948, Average Loss  0.547084, Time  0.289913
2021-09-11 05:28:14.376952 : Epoch  2, Batch    891, Loss  0.872014, Average Loss  0.870357, Time  0.266334
2021-09-11 05:28:14.935895 : Epoch  3, Batch   3390, Loss  0.843072, Average Loss  0.868347, Time  0.173371
2021-09-11 05:28:15.722408 : Epoch  9, Batch    210, Loss  0.549683, Average Loss  0.547091, Time  0.231601
2021-09-11 05:28:16.543959 : Epoch  3, Batch   3391, Loss  0.836944, Average Loss  0.868280, Time  0.178350
2021-09-11 05:28:17.028795 : Epoch  2, Batch    892, Loss  0.858533, Average Loss  0.870410, Time  0.245433
2021-09-11 05:28:17.287392 : Epoch  9, Batch    211, Loss  0.546795, Average Loss  0.547023, Time  0.235612
2021-09-11 05:28:18.171749 : Epoch  3, Batch   3392, Loss  0.841668, Average Loss  0.868170, Time  0.170986
2021-09-11 05:28:18.818855 : Epoch  9, Batch    212, Loss  0.532573, Average Loss  0.546948, Time  0.231298
2021-09-11 05:28:19.669464 : Epoch  2, Batch    893, Loss  0.881235, Average Loss  0.870428, Time  0.247632
2021-09-11 05:28:19.800812 : Epoch  3, Batch   3393, Loss  0.878662, Average Loss  0.868285, Time  0.173665
2021-09-11 05:28:20.356487 : Epoch  9, Batch    213, Loss  0.554932, Average Loss  0.547078, Time  0.234390
2021-09-11 05:28:21.454777 : Epoch  3, Batch   3394, Loss  0.882736, Average Loss  0.868265, Time  0.173560
2021-09-11 05:28:21.889429 : Epoch  9, Batch    214, Loss  0.559790, Average Loss  0.547133, Time  0.231411
2021-09-11 05:28:22.278936 : Epoch  2, Batch    894, Loss  0.863076, Average Loss  0.870393, Time  0.243892
2021-09-11 05:28:23.109045 : Epoch  3, Batch   3395, Loss  0.857304, Average Loss  0.868316, Time  0.182287
2021-09-11 05:28:23.425406 : Epoch  9, Batch    215, Loss  0.550179, Average Loss  0.547129, Time  0.231082
2021-09-11 05:28:24.733750 : Epoch  3, Batch   3396, Loss  0.854797, Average Loss  0.868238, Time  0.172154
2021-09-11 05:28:25.105189 : Epoch  2, Batch    895, Loss  0.865112, Average Loss  0.870291, Time  0.445095
2021-09-11 05:28:25.154066 : Epoch  9, Batch    216, Loss  0.549149, Average Loss  0.547180, Time  0.394785
2021-09-11 05:28:26.367755 : Epoch  3, Batch   3397, Loss  0.861658, Average Loss  0.868198, Time  0.170774
2021-09-11 05:28:26.661382 : Epoch  9, Batch    217, Loss  0.550734, Average Loss  0.547176, Time  0.233481
2021-09-11 05:28:27.731088 : Epoch  2, Batch    896, Loss  0.881074, Average Loss  0.870312, Time  0.240387
2021-09-11 05:28:27.969790 : Epoch  3, Batch   3398, Loss  0.856946, Average Loss  0.868096, Time  0.170605
2021-09-11 05:28:28.185771 : Epoch  9, Batch    218, Loss  0.536932, Average Loss  0.547081, Time  0.234848
2021-09-11 05:28:29.594757 : Epoch  3, Batch   3399, Loss  0.880487, Average Loss  0.868113, Time  0.173362
2021-09-11 05:28:29.736081 : Epoch  9, Batch    219, Loss  0.537501, Average Loss  0.547073, Time  0.232062
2021-09-11 05:28:30.370758 : Epoch  2, Batch    897, Loss  0.859147, Average Loss  0.870139, Time  0.243812
2021-09-11 05:28:31.198725 : Epoch  3, Batch   3400, Loss  0.866057, Average Loss  0.868150, Time  0.169798
2021-09-11 05:28:31.270317 : Epoch  9, Batch    220, Loss  0.547939, Average Loss  0.547034, Time  0.231282
2021-09-11 05:28:32.782971 : Epoch  9, Batch    221, Loss  0.541421, Average Loss  0.547006, Time  0.238992
2021-09-11 05:28:32.837749 : Epoch  3, Batch   3401, Loss  0.884425, Average Loss  0.868294, Time  0.171245
2021-09-11 05:28:32.997773 : Epoch  2, Batch    898, Loss  0.853095, Average Loss  0.870022, Time  0.251778
2021-09-11 05:28:34.336371 : Epoch  9, Batch    222, Loss  0.544564, Average Loss  0.546956, Time  0.233989
2021-09-11 05:28:34.390751 : Epoch  3, Batch   3402, Loss  0.839113, Average Loss  0.868171, Time  0.173801
2021-09-11 05:28:35.796416 : Epoch  2, Batch    899, Loss  0.883830, Average Loss  0.870108, Time  0.328095
2021-09-11 05:28:35.915434 : Epoch  9, Batch    223, Loss  0.534679, Average Loss  0.546930, Time  0.270079
2021-09-11 05:28:35.996021 : Epoch  3, Batch   3403, Loss  0.868002, Average Loss  0.868205, Time  0.170151
2021-09-11 05:28:37.463373 : Epoch  9, Batch    224, Loss  0.561912, Average Loss  0.547005, Time  0.234569
2021-09-11 05:28:37.587030 : Epoch  3, Batch   3404, Loss  0.898067, Average Loss  0.868375, Time  0.171439
2021-09-11 05:28:38.495509 : Epoch  2, Batch    900, Loss  0.854370, Average Loss  0.870019, Time  0.241225
2021-09-11 05:28:39.007014 : Epoch  9, Batch    225, Loss  0.549774, Average Loss  0.547079, Time  0.232447
2021-09-11 05:28:39.207031 : Epoch  3, Batch   3405, Loss  0.874664, Average Loss  0.868277, Time  0.169487
2021-09-11 05:28:40.548439 : Epoch  9, Batch    226, Loss  0.545790, Average Loss  0.547072, Time  0.230856
2021-09-11 05:28:40.862787 : Epoch  3, Batch   3406, Loss  0.877289, Average Loss  0.868305, Time  0.171391
2021-09-11 05:28:41.159741 : Epoch  2, Batch    901, Loss  0.886248, Average Loss  0.870111, Time  0.243081
2021-09-11 05:28:42.109092 : Epoch  9, Batch    227, Loss  0.534354, Average Loss  0.547065, Time  0.234760
2021-09-11 05:28:42.496023 : Epoch  3, Batch   3407, Loss  0.870806, Average Loss  0.868137, Time  0.176815
2021-09-11 05:28:43.790036 : Epoch  9, Batch    228, Loss  0.562194, Average Loss  0.547101, Time  0.380871
2021-09-11 05:28:43.864903 : Epoch  2, Batch    902, Loss  0.867248, Average Loss  0.870157, Time  0.316530
2021-09-11 05:28:44.123744 : Epoch  3, Batch   3408, Loss  0.870256, Average Loss  0.868093, Time  0.183545
2021-09-11 05:28:45.311075 : Epoch  9, Batch    229, Loss  0.545613, Average Loss  0.547039, Time  0.230650
2021-09-11 05:28:45.789032 : Epoch  3, Batch   3409, Loss  0.869622, Average Loss  0.867967, Time  0.192988
2021-09-11 05:28:46.476678 : Epoch  2, Batch    903, Loss  0.873896, Average Loss  0.870144, Time  0.246153
2021-09-11 05:28:46.837171 : Epoch  9, Batch    230, Loss  0.534681, Average Loss  0.546951, Time  0.234801
2021-09-11 05:28:47.420797 : Epoch  3, Batch   3410, Loss  0.879668, Average Loss  0.868025, Time  0.171987
2021-09-11 05:28:48.358661 : Epoch  9, Batch    231, Loss  0.549500, Average Loss  0.546979, Time  0.230505
2021-09-11 05:28:49.024030 : Epoch  3, Batch   3411, Loss  0.905095, Average Loss  0.868303, Time  0.169556
2021-09-11 05:28:49.144660 : Epoch  2, Batch    904, Loss  0.872975, Average Loss  0.870179, Time  0.243773
2021-09-11 05:28:49.894386 : Epoch  9, Batch    232, Loss  0.537067, Average Loss  0.546899, Time  0.234514
2021-09-11 05:28:50.621763 : Epoch  3, Batch   3412, Loss  0.872712, Average Loss  0.868369, Time  0.170276
2021-09-11 05:28:51.393597 : Epoch  9, Batch    233, Loss  0.549793, Average Loss  0.546934, Time  0.232118
2021-09-11 05:28:51.766090 : Epoch  2, Batch    905, Loss  0.862429, Average Loss  0.870094, Time  0.240467
2021-09-11 05:28:52.207042 : Epoch  3, Batch   3413, Loss  0.883898, Average Loss  0.868324, Time  0.173846
2021-09-11 05:28:52.962458 : Epoch  9, Batch    234, Loss  0.558042, Average Loss  0.546958, Time  0.235307
2021-09-11 05:28:53.844850 : Epoch  3, Batch   3414, Loss  0.878253, Average Loss  0.868446, Time  0.172788
2021-09-11 05:28:54.582339 : Epoch  2, Batch    906, Loss  0.893547, Average Loss  0.870288, Time  0.421122
2021-09-11 05:28:54.634434 : Epoch  9, Batch    235, Loss  0.558890, Average Loss  0.546976, Time  0.370187
2021-09-11 05:28:55.467768 : Epoch  3, Batch   3415, Loss  0.857355, Average Loss  0.868395, Time  0.171315
2021-09-11 05:28:56.132375 : Epoch  9, Batch    236, Loss  0.534906, Average Loss  0.546943, Time  0.231641
2021-09-11 05:28:57.102107 : Epoch  3, Batch   3416, Loss  0.863382, Average Loss  0.868465, Time  0.176095
2021-09-11 05:28:57.239862 : Epoch  2, Batch    907, Loss  0.874014, Average Loss  0.870422, Time  0.246769
2021-09-11 05:28:57.644703 : Epoch  9, Batch    237, Loss  0.534654, Average Loss  0.546888, Time  0.231783
2021-09-11 05:28:58.737034 : Epoch  3, Batch   3417, Loss  0.851463, Average Loss  0.868465, Time  0.177312
2021-09-11 05:28:59.174380 : Epoch  9, Batch    238, Loss  0.557273, Average Loss  0.546939, Time  0.231957
2021-09-11 05:28:59.868927 : Epoch  2, Batch    908, Loss  0.871816, Average Loss  0.870538, Time  0.245401
2021-09-11 05:29:00.374722 : Epoch  3, Batch   3418, Loss  0.863356, Average Loss  0.868447, Time  0.169852
2021-09-11 05:29:00.695373 : Epoch  9, Batch    239, Loss  0.554548, Average Loss  0.546967, Time  0.230660
2021-09-11 05:29:01.971747 : Epoch  3, Batch   3419, Loss  0.869892, Average Loss  0.868503, Time  0.169748
2021-09-11 05:29:02.217380 : Epoch  9, Batch    240, Loss  0.561409, Average Loss  0.547033, Time  0.230675
2021-09-11 05:29:02.531787 : Epoch  2, Batch    909, Loss  0.848038, Average Loss  0.870388, Time  0.239810
2021-09-11 05:29:03.593755 : Epoch  3, Batch   3420, Loss  0.843172, Average Loss  0.868303, Time  0.170483
2021-09-11 05:29:03.762410 : Epoch  9, Batch    241, Loss  0.547076, Average Loss  0.547026, Time  0.231766
2021-09-11 05:29:05.223027 : Epoch  3, Batch   3421, Loss  0.878973, Average Loss  0.868219, Time  0.187659
2021-09-11 05:29:05.364148 : Epoch  2, Batch    910, Loss  0.871716, Average Loss  0.870408, Time  0.405133
2021-09-11 05:29:05.417410 : Epoch  9, Batch    242, Loss  0.531752, Average Loss  0.546874, Time  0.338191
2021-09-11 05:29:06.860802 : Epoch  3, Batch   3422, Loss  0.871172, Average Loss  0.868301, Time  0.173654
2021-09-11 05:29:06.944025 : Epoch  9, Batch    243, Loss  0.544788, Average Loss  0.546936, Time  0.230891
2021-09-11 05:29:08.036545 : Epoch  2, Batch    911, Loss  0.866822, Average Loss  0.870409, Time  0.243536
2021-09-11 05:29:08.454803 : Epoch  3, Batch   3423, Loss  0.842672, Average Loss  0.868107, Time  0.170827
2021-09-11 05:29:08.502447 : Epoch  9, Batch    244, Loss  0.538606, Average Loss  0.546962, Time  0.239395
2021-09-11 05:29:10.029941 : Epoch  9, Batch    245, Loss  0.554581, Average Loss  0.547000, Time  0.231608
2021-09-11 05:29:10.101734 : Epoch  3, Batch   3424, Loss  0.897291, Average Loss  0.868278, Time  0.170143
2021-09-11 05:29:10.779973 : Epoch  2, Batch    912, Loss  0.868871, Average Loss  0.870436, Time  0.242011
2021-09-11 05:29:11.564345 : Epoch  9, Batch    246, Loss  0.546642, Average Loss  0.547001, Time  0.230630
2021-09-11 05:29:11.729027 : Epoch  3, Batch   3425, Loss  0.849067, Average Loss  0.868138, Time  0.169977
2021-09-11 05:29:13.085188 : Epoch  9, Batch    247, Loss  0.543230, Average Loss  0.546988, Time  0.230592
2021-09-11 05:29:13.364034 : Epoch  3, Batch   3426, Loss  0.871582, Average Loss  0.868077, Time  0.174506
2021-09-11 05:29:13.427081 : Epoch  2, Batch    913, Loss  0.871293, Average Loss  0.870350, Time  0.242786
2021-09-11 05:29:14.612915 : Epoch  9, Batch    248, Loss  0.539621, Average Loss  0.546950, Time  0.231152
2021-09-11 05:29:14.975839 : Epoch  3, Batch   3427, Loss  0.845899, Average Loss  0.867860, Time  0.170844
2021-09-11 05:29:16.211894 : Epoch  2, Batch    914, Loss  0.856004, Average Loss  0.870280, Time  0.411890
2021-09-11 05:29:16.268864 : Epoch  9, Batch    249, Loss  0.539104, Average Loss  0.547005, Time  0.343319
2021-09-11 05:29:16.574018 : Epoch  3, Batch   3428, Loss  0.876718, Average Loss  0.867828, Time  0.170049
2021-09-11 05:29:17.783364 : Epoch  9, Batch    250, Loss  0.553002, Average Loss  0.546989, Time  0.230858
2021-09-11 05:29:18.164691 : Epoch  3, Batch   3429, Loss  0.861079, Average Loss  0.867818, Time  0.170377
2021-09-11 05:29:18.899871 : Epoch  2, Batch    915, Loss  0.873344, Average Loss  0.870325, Time  0.245668
2021-09-11 05:29:19.309398 : Epoch  9, Batch    251, Loss  0.548406, Average Loss  0.547060, Time  0.234896
2021-09-11 05:29:19.770024 : Epoch  3, Batch   3430, Loss  0.891441, Average Loss  0.868124, Time  0.176307
2021-09-11 05:29:20.861136 : Epoch  9, Batch    252, Loss  0.549002, Average Loss  0.547104, Time  0.232265
2021-09-11 05:29:21.380765 : Epoch  3, Batch   3431, Loss  0.872346, Average Loss  0.868199, Time  0.178047
2021-09-11 05:29:21.569211 : Epoch  2, Batch    916, Loss  0.874443, Average Loss  0.870386, Time  0.246628
2021-09-11 05:29:22.423005 : Epoch  9, Batch    253, Loss  0.560886, Average Loss  0.547206, Time  0.238638
2021-09-11 05:29:23.017887 : Epoch  3, Batch   3432, Loss  0.869246, Average Loss  0.868136, Time  0.174636
2021-09-11 05:29:23.976369 : Epoch  9, Batch    254, Loss  0.551760, Average Loss  0.547213, Time  0.237523
2021-09-11 05:29:24.278376 : Epoch  2, Batch    917, Loss  0.861559, Average Loss  0.870377, Time  0.245150
2021-09-11 05:29:24.628742 : Epoch  3, Batch   3433, Loss  0.893958, Average Loss  0.868252, Time  0.176568
2021-09-11 05:29:25.519432 : Epoch  9, Batch    255, Loss  0.555270, Average Loss  0.547239, Time  0.231375
2021-09-11 05:29:26.259032 : Epoch  3, Batch   3434, Loss  0.841708, Average Loss  0.868141, Time  0.174473
2021-09-11 05:29:27.189440 : Epoch  2, Batch    918, Loss  0.895165, Average Loss  0.870562, Time  0.444812
2021-09-11 05:29:27.244926 : Epoch  9, Batch    256, Loss  0.550781, Average Loss  0.547278, Time  0.370980
2021-09-11 05:29:27.875033 : Epoch  3, Batch   3435, Loss  0.897823, Average Loss  0.868236, Time  0.174832
2021-09-11 05:29:28.779397 : Epoch  9, Batch    257, Loss  0.543887, Average Loss  0.547216, Time  0.231915
2021-09-11 05:29:29.504035 : Epoch  3, Batch   3436, Loss  0.862452, Average Loss  0.868199, Time  0.170415
2021-09-11 05:29:29.850000 : Epoch  2, Batch    919, Loss  0.884994, Average Loss  0.870521, Time  0.243305
2021-09-11 05:29:30.322832 : Epoch  9, Batch    258, Loss  0.568058, Average Loss  0.547307, Time  0.230841
2021-09-11 05:29:31.127028 : Epoch  3, Batch   3437, Loss  0.864450, Average Loss  0.868212, Time  0.174518
2021-09-11 05:29:31.854729 : Epoch  9, Batch    259, Loss  0.550383, Average Loss  0.547310, Time  0.230625
2021-09-11 05:29:32.509069 : Epoch  2, Batch    920, Loss  0.862126, Average Loss  0.870529, Time  0.244880
2021-09-11 05:29:32.765784 : Epoch  3, Batch   3438, Loss  0.872890, Average Loss  0.868386, Time  0.171611
2021-09-11 05:29:33.418851 : Epoch  9, Batch    260, Loss  0.533904, Average Loss  0.547261, Time  0.232379
2021-09-11 05:29:34.410845 : Epoch  3, Batch   3439, Loss  0.868046, Average Loss  0.868370, Time  0.174510
2021-09-11 05:29:35.012983 : Epoch  9, Batch    261, Loss  0.543624, Average Loss  0.547239, Time  0.295178
2021-09-11 05:29:35.175046 : Epoch  2, Batch    921, Loss  0.860420, Average Loss  0.870498, Time  0.266950
2021-09-11 05:29:36.007836 : Epoch  3, Batch   3440, Loss  0.876953, Average Loss  0.868485, Time  0.169901
2021-09-11 05:29:36.576975 : Epoch  9, Batch    262, Loss  0.557992, Average Loss  0.547314, Time  0.237084
2021-09-11 05:29:37.660921 : Epoch  3, Batch   3441, Loss  0.857719, Average Loss  0.868445, Time  0.175908
2021-09-11 05:29:37.910470 : Epoch  2, Batch    922, Loss  0.885770, Average Loss  0.870566, Time  0.238548
2021-09-11 05:29:38.122992 : Epoch  9, Batch    263, Loss  0.529655, Average Loss  0.547282, Time  0.234998
2021-09-11 05:29:39.295781 : Epoch  3, Batch   3442, Loss  0.859179, Average Loss  0.868288, Time  0.171406
2021-09-11 05:29:39.651479 : Epoch  9, Batch    264, Loss  0.547116, Average Loss  0.547312, Time  0.230973
2021-09-11 05:29:40.557966 : Epoch  2, Batch    923, Loss  0.840326, Average Loss  0.870506, Time  0.247001
2021-09-11 05:29:40.913938 : Epoch  3, Batch   3443, Loss  0.881487, Average Loss  0.868173, Time  0.179708
2021-09-11 05:29:41.199007 : Epoch  9, Batch    265, Loss  0.545239, Average Loss  0.547329, Time  0.235281
2021-09-11 05:29:42.574864 : Epoch  3, Batch   3444, Loss  0.866795, Average Loss  0.868106, Time  0.173616
2021-09-11 05:29:42.752462 : Epoch  9, Batch    266, Loss  0.543623, Average Loss  0.547293, Time  0.232806
2021-09-11 05:29:43.221036 : Epoch  2, Batch    924, Loss  0.859293, Average Loss  0.870455, Time  0.238602
2021-09-11 05:29:44.186884 : Epoch  3, Batch   3445, Loss  0.846367, Average Loss  0.868041, Time  0.170216
2021-09-11 05:29:44.295914 : Epoch  9, Batch    267, Loss  0.547547, Average Loss  0.547383, Time  0.231966
2021-09-11 05:29:45.789784 : Epoch  3, Batch   3446, Loss  0.871256, Average Loss  0.868120, Time  0.173545
2021-09-11 05:29:46.062029 : Epoch  9, Batch    268, Loss  0.542357, Average Loss  0.547403, Time  0.448342
2021-09-11 05:29:46.122531 : Epoch  2, Batch    925, Loss  0.871814, Average Loss  0.870400, Time  0.413811
2021-09-11 05:29:47.411779 : Epoch  3, Batch   3447, Loss  0.864871, Average Loss  0.868147, Time  0.176454
2021-09-11 05:29:47.615855 : Epoch  9, Batch    269, Loss  0.539610, Average Loss  0.547406, Time  0.236214
2021-09-11 05:29:48.755492 : Epoch  2, Batch    926, Loss  0.868973, Average Loss  0.870356, Time  0.239800
2021-09-11 05:29:49.047837 : Epoch  3, Batch   3448, Loss  0.870836, Average Loss  0.868126, Time  0.172305
2021-09-11 05:29:49.152411 : Epoch  9, Batch    270, Loss  0.546031, Average Loss  0.547388, Time  0.232199
2021-09-11 05:29:50.685922 : Epoch  3, Batch   3449, Loss  0.868692, Average Loss  0.868001, Time  0.170026
2021-09-11 05:29:50.701388 : Epoch  9, Batch    271, Loss  0.542177, Average Loss  0.547319, Time  0.239049
2021-09-11 05:29:51.421922 : Epoch  2, Batch    927, Loss  0.876450, Average Loss  0.870362, Time  0.241415
2021-09-11 05:29:52.249162 : Epoch  9, Batch    272, Loss  0.550074, Average Loss  0.547384, Time  0.235065
2021-09-11 05:29:52.341028 : Epoch  3, Batch   3450, Loss  0.854480, Average Loss  0.867959, Time  0.185007
2021-09-11 05:29:53.796029 : Epoch  9, Batch    273, Loss  0.543409, Average Loss  0.547354, Time  0.235041
2021-09-11 05:29:53.992760 : Epoch  3, Batch   3451, Loss  0.889660, Average Loss  0.868192, Time  0.177659
2021-09-11 05:29:54.093978 : Epoch  2, Batch    928, Loss  0.865188, Average Loss  0.870350, Time  0.241455
2021-09-11 05:29:55.346424 : Epoch  9, Batch    274, Loss  0.552906, Average Loss  0.547405, Time  0.231821
2021-09-11 05:29:55.658785 : Epoch  3, Batch   3452, Loss  0.860443, Average Loss  0.868143, Time  0.182789
2021-09-11 05:29:56.752436 : Epoch  2, Batch    929, Loss  0.873699, Average Loss  0.870340, Time  0.240216
2021-09-11 05:29:57.330819 : Epoch  3, Batch   3453, Loss  0.857062, Average Loss  0.868148, Time  0.176124
2021-09-11 05:29:58.973796 : Epoch  3, Batch   3454, Loss  0.853737, Average Loss  0.868010, Time  0.187181
2021-09-11 05:29:59.329005 : Epoch  9, Batch    275, Loss  0.544249, Average Loss  0.547467, Time  0.327819
2021-09-11 05:29:59.474343 : Epoch  2, Batch    930, Loss  0.875353, Average Loss  0.870452, Time  0.295493
2021-09-11 05:30:00.600747 : Epoch  3, Batch   3455, Loss  0.871760, Average Loss  0.868151, Time  0.171894
2021-09-11 05:30:00.862359 : Epoch  9, Batch    276, Loss  0.543341, Average Loss  0.547400, Time  0.235285
2021-09-11 05:30:02.137173 : Epoch  2, Batch    931, Loss  0.881379, Average Loss  0.870432, Time  0.247036
2021-09-11 05:30:02.246031 : Epoch  3, Batch   3456, Loss  0.859042, Average Loss  0.868088, Time  0.177373
2021-09-11 05:30:02.405890 : Epoch  9, Batch    277, Loss  0.552248, Average Loss  0.547513, Time  0.231176
2021-09-11 05:30:03.866773 : Epoch  3, Batch   3457, Loss  0.881569, Average Loss  0.868108, Time  0.169952
2021-09-11 05:30:03.947427 : Epoch  9, Batch    278, Loss  0.552351, Average Loss  0.547518, Time  0.230635
2021-09-11 05:30:04.818664 : Epoch  2, Batch    932, Loss  0.849234, Average Loss  0.870293, Time  0.251156
2021-09-11 05:30:05.468880 : Epoch  3, Batch   3458, Loss  0.856828, Average Loss  0.868151, Time  0.182697
2021-09-11 05:30:05.503126 : Epoch  9, Batch    279, Loss  0.546299, Average Loss  0.547387, Time  0.237622
2021-09-11 05:30:07.042896 : Epoch  9, Batch    280, Loss  0.540330, Average Loss  0.547381, Time  0.233001
2021-09-11 05:30:07.084064 : Epoch  3, Batch   3459, Loss  0.872683, Average Loss  0.868073, Time  0.173169
2021-09-11 05:30:07.489023 : Epoch  2, Batch    933, Loss  0.850769, Average Loss  0.870229, Time  0.240346
2021-09-11 05:30:08.595805 : Epoch  9, Batch    281, Loss  0.545739, Average Loss  0.547388, Time  0.231043
2021-09-11 05:30:08.691758 : Epoch  3, Batch   3460, Loss  0.886486, Average Loss  0.868144, Time  0.176481
2021-09-11 05:30:10.328855 : Epoch  3, Batch   3461, Loss  0.871142, Average Loss  0.868099, Time  0.191750
2021-09-11 05:30:10.354155 : Epoch  9, Batch    282, Loss  0.547958, Average Loss  0.547380, Time  0.446199
2021-09-11 05:30:10.424881 : Epoch  2, Batch    934, Loss  0.863504, Average Loss  0.870243, Time  0.456928
2021-09-11 05:30:11.918675 : Epoch  9, Batch    283, Loss  0.541778, Average Loss  0.547279, Time  0.231052
2021-09-11 05:30:11.937748 : Epoch  3, Batch   3462, Loss  0.865711, Average Loss  0.868051, Time  0.173388
2021-09-11 05:30:13.070963 : Epoch  2, Batch    935, Loss  0.885575, Average Loss  0.870255, Time  0.242524
2021-09-11 05:30:13.454386 : Epoch  9, Batch    284, Loss  0.544006, Average Loss  0.547226, Time  0.233761
2021-09-11 05:30:13.574027 : Epoch  3, Batch   3463, Loss  0.870003, Average Loss  0.868004, Time  0.174116
2021-09-11 05:30:14.989290 : Epoch  9, Batch    285, Loss  0.559773, Average Loss  0.547317, Time  0.231627
2021-09-11 05:30:15.195830 : Epoch  3, Batch   3464, Loss  0.867630, Average Loss  0.868023, Time  0.172297
2021-09-11 05:30:15.723228 : Epoch  2, Batch    936, Loss  0.864542, Average Loss  0.870231, Time  0.240329
2021-09-11 05:30:16.527728 : Epoch  9, Batch    286, Loss  0.544232, Average Loss  0.547214, Time  0.233193
2021-09-11 05:30:16.827740 : Epoch  3, Batch   3465, Loss  0.870628, Average Loss  0.867978, Time  0.169933
2021-09-11 05:30:18.073406 : Epoch  9, Batch    287, Loss  0.545612, Average Loss  0.547205, Time  0.230940
2021-09-11 05:30:18.373852 : Epoch  2, Batch    937, Loss  0.870702, Average Loss  0.870262, Time  0.239048
2021-09-11 05:30:18.433019 : Epoch  3, Batch   3466, Loss  0.882193, Average Loss  0.868169, Time  0.169771
2021-09-11 05:30:19.613379 : Epoch  9, Batch    288, Loss  0.536431, Average Loss  0.547056, Time  0.231792
2021-09-11 05:30:20.053746 : Epoch  3, Batch   3467, Loss  0.868973, Average Loss  0.868142, Time  0.175333
2021-09-11 05:30:21.210857 : Epoch  2, Batch    938, Loss  0.876477, Average Loss  0.870272, Time  0.402752
2021-09-11 05:30:21.261416 : Epoch  9, Batch    289, Loss  0.532053, Average Loss  0.547022, Time  0.339574
2021-09-11 05:30:21.680837 : Epoch  3, Batch   3468, Loss  0.863320, Average Loss  0.868150, Time  0.173908
2021-09-11 05:30:22.808413 : Epoch  9, Batch    290, Loss  0.552560, Average Loss  0.547093, Time  0.231234
2021-09-11 05:30:23.324792 : Epoch  3, Batch   3469, Loss  0.861448, Average Loss  0.868002, Time  0.179614
2021-09-11 05:30:23.861800 : Epoch  2, Batch    939, Loss  0.873351, Average Loss  0.870330, Time  0.238798
2021-09-11 05:30:24.392440 : Epoch  9, Batch    291, Loss  0.528404, Average Loss  0.546994, Time  0.234578
2021-09-11 05:30:24.956741 : Epoch  3, Batch   3470, Loss  0.872880, Average Loss  0.868165, Time  0.174050
2021-09-11 05:30:25.965843 : Epoch  9, Batch    292, Loss  0.553192, Average Loss  0.547049, Time  0.233552
2021-09-11 05:30:26.524040 : Epoch  2, Batch    940, Loss  0.866252, Average Loss  0.870279, Time  0.243738
2021-09-11 05:30:26.600028 : Epoch  3, Batch   3471, Loss  0.852298, Average Loss  0.868206, Time  0.181958
2021-09-11 05:30:27.506379 : Epoch  9, Batch    293, Loss  0.541110, Average Loss  0.547112, Time  0.232108
2021-09-11 05:30:28.213752 : Epoch  3, Batch   3472, Loss  0.845857, Average Loss  0.868233, Time  0.169943
2021-09-11 05:30:29.220869 : Epoch  9, Batch    294, Loss  0.553559, Average Loss  0.547127, Time  0.402807
2021-09-11 05:30:29.283071 : Epoch  2, Batch    941, Loss  0.847647, Average Loss  0.870175, Time  0.352266
2021-09-11 05:30:29.835049 : Epoch  3, Batch   3473, Loss  0.858175, Average Loss  0.868260, Time  0.184011
2021-09-11 05:30:30.757847 : Epoch  9, Batch    295, Loss  0.532920, Average Loss  0.547084, Time  0.231777
2021-09-11 05:30:31.478770 : Epoch  3, Batch   3474, Loss  0.866289, Average Loss  0.868235, Time  0.169817
2021-09-11 05:30:31.908916 : Epoch  2, Batch    942, Loss  0.876494, Average Loss  0.870198, Time  0.241038
2021-09-11 05:30:32.288105 : Epoch  9, Batch    296, Loss  0.562242, Average Loss  0.547205, Time  0.231360
2021-09-11 05:30:33.097754 : Epoch  3, Batch   3475, Loss  0.855307, Average Loss  0.868281, Time  0.174516
2021-09-11 05:30:33.813397 : Epoch  9, Batch    297, Loss  0.556412, Average Loss  0.547228, Time  0.231694
2021-09-11 05:30:34.589933 : Epoch  2, Batch    943, Loss  0.877338, Average Loss  0.870098, Time  0.242115
2021-09-11 05:30:34.715835 : Epoch  3, Batch   3476, Loss  0.878598, Average Loss  0.868339, Time  0.174723
2021-09-11 05:30:35.350176 : Epoch  9, Batch    298, Loss  0.528069, Average Loss  0.547078, Time  0.230935
2021-09-11 05:30:36.360067 : Epoch  3, Batch   3477, Loss  0.868079, Average Loss  0.868275, Time  0.173553
2021-09-11 05:30:36.888324 : Epoch  9, Batch    299, Loss  0.526070, Average Loss  0.547038, Time  0.232785
2021-09-11 05:30:37.244810 : Epoch  2, Batch    944, Loss  0.871489, Average Loss  0.870252, Time  0.239842
2021-09-11 05:30:37.983171 : Epoch  3, Batch   3478, Loss  0.848628, Average Loss  0.868029, Time  0.176306
2021-09-11 05:30:38.443333 : Epoch  9, Batch    300, Loss  0.546774, Average Loss  0.546996, Time  0.231170
2021-09-11 05:30:39.978420 : Epoch  9, Batch    301, Loss  0.540750, Average Loss  0.546922, Time  0.231402
2021-09-11 05:30:41.509832 : Epoch  9, Batch    302, Loss  0.542695, Average Loss  0.546924, Time  0.231008
2021-09-11 05:30:43.035349 : Epoch  9, Batch    303, Loss  0.549702, Average Loss  0.546896, Time  0.231313
2021-09-11 05:30:44.594304 : Epoch  9, Batch    304, Loss  0.540569, Average Loss  0.546868, Time  0.230486
2021-09-11 05:31:40.904999 : CheckPoint: Validation Loss  0.00023108, Best Loss  0.00021921
2021-09-11 05:31:42.427857 : Epoch  9, Batch    305, Loss  0.553194, Average Loss  0.546923, Time  0.233392
2021-09-11 05:31:43.953812 : Epoch  9, Batch    306, Loss  0.552332, Average Loss  0.546913, Time  0.230553
2021-09-11 05:31:45.484013 : Epoch  9, Batch    307, Loss  0.549683, Average Loss  0.547037, Time  0.230469
2021-09-11 05:31:47.004362 : Epoch  9, Batch    308, Loss  0.539472, Average Loss  0.547023, Time  0.230731
2021-09-11 05:31:48.539294 : Epoch  9, Batch    309, Loss  0.550531, Average Loss  0.547005, Time  0.230945
2021-09-11 05:31:50.063657 : Epoch  9, Batch    310, Loss  0.545317, Average Loss  0.547059, Time  0.232594
2021-09-11 05:31:51.657952 : Epoch  9, Batch    311, Loss  0.555211, Average Loss  0.547079, Time  0.288971
2021-09-11 05:31:53.191906 : Epoch  9, Batch    312, Loss  0.531282, Average Loss  0.546956, Time  0.233245
2021-09-11 05:31:54.721407 : Epoch  9, Batch    313, Loss  0.543406, Average Loss  0.546916, Time  0.230708
2021-09-11 05:31:56.374375 : Epoch  9, Batch    314, Loss  0.542579, Average Loss  0.546768, Time  0.311673
2021-09-11 05:31:57.902399 : Epoch  9, Batch    315, Loss  0.536250, Average Loss  0.546722, Time  0.231395
2021-09-11 05:31:59.429924 : Epoch  9, Batch    316, Loss  0.550843, Average Loss  0.546757, Time  0.230888
2021-09-11 05:32:00.992825 : Epoch  9, Batch    317, Loss  0.545999, Average Loss  0.546696, Time  0.231780
2021-09-11 05:32:02.536362 : Epoch  9, Batch    318, Loss  0.528375, Average Loss  0.546668, Time  0.231951
2021-09-11 05:32:04.085984 : Epoch  9, Batch    319, Loss  0.541377, Average Loss  0.546714, Time  0.236324
2021-09-11 05:32:05.621098 : Epoch  9, Batch    320, Loss  0.552329, Average Loss  0.546657, Time  0.233433
2021-09-11 05:32:07.158930 : Epoch  9, Batch    321, Loss  0.538420, Average Loss  0.546570, Time  0.232749
2021-09-11 05:32:08.688093 : Epoch  9, Batch    322, Loss  0.545974, Average Loss  0.546514, Time  0.230853
2021-09-11 05:32:10.215137 : Epoch  9, Batch    323, Loss  0.537763, Average Loss  0.546389, Time  0.230560
2021-09-11 05:32:11.739378 : Epoch  9, Batch    324, Loss  0.549914, Average Loss  0.546390, Time  0.230719
2021-09-11 05:32:13.270797 : Epoch  9, Batch    325, Loss  0.531660, Average Loss  0.546326, Time  0.231004
2021-09-11 05:32:14.799797 : Epoch  9, Batch    326, Loss  0.538151, Average Loss  0.546324, Time  0.230598
2021-09-11 05:32:16.339806 : Epoch  9, Batch    327, Loss  0.541366, Average Loss  0.546236, Time  0.230832
2021-09-11 05:32:17.945829 : Epoch  9, Batch    328, Loss  0.547311, Average Loss  0.546212, Time  0.313435
2021-09-11 05:32:19.474928 : Epoch  9, Batch    329, Loss  0.544404, Average Loss  0.546188, Time  0.230579
2021-09-11 05:32:21.002411 : Epoch  9, Batch    330, Loss  0.546843, Average Loss  0.546178, Time  0.230909
2021-09-11 05:32:22.550600 : Epoch  9, Batch    331, Loss  0.551819, Average Loss  0.546175, Time  0.230779
2021-09-11 05:32:24.087676 : Epoch  9, Batch    332, Loss  0.555014, Average Loss  0.546231, Time  0.230582
2021-09-11 05:32:25.617492 : Epoch  9, Batch    333, Loss  0.554720, Average Loss  0.546278, Time  0.231951
2021-09-11 05:32:27.150195 : Epoch  9, Batch    334, Loss  0.538186, Average Loss  0.546291, Time  0.234801
2021-09-11 05:32:28.683189 : Epoch  9, Batch    335, Loss  0.560310, Average Loss  0.546328, Time  0.231246
2021-09-11 05:32:30.225908 : Epoch  9, Batch    336, Loss  0.538610, Average Loss  0.546383, Time  0.234910
2021-09-11 05:32:31.768777 : Epoch  9, Batch    337, Loss  0.558050, Average Loss  0.546422, Time  0.231657
2021-09-11 05:32:33.308415 : Epoch  9, Batch    338, Loss  0.533725, Average Loss  0.546338, Time  0.232065
2021-09-11 05:32:34.935966 : Epoch  9, Batch    339, Loss  0.554546, Average Loss  0.546355, Time  0.319781
2021-09-11 05:32:36.469409 : Epoch  9, Batch    340, Loss  0.541154, Average Loss  0.546418, Time  0.230896
2021-09-11 05:32:38.000138 : Epoch  9, Batch    341, Loss  0.549330, Average Loss  0.546402, Time  0.231258
2021-09-11 05:32:39.541398 : Epoch  9, Batch    342, Loss  0.551037, Average Loss  0.546406, Time  0.238095
2021-09-11 05:32:41.112861 : Epoch  9, Batch    343, Loss  0.538532, Average Loss  0.546416, Time  0.232226
2021-09-11 05:32:42.642370 : Epoch  9, Batch    344, Loss  0.536420, Average Loss  0.546352, Time  0.232368
2021-09-11 05:32:44.176269 : Epoch  9, Batch    345, Loss  0.547631, Average Loss  0.546438, Time  0.235991
2021-09-11 05:32:45.695200 : Epoch  9, Batch    346, Loss  0.552263, Average Loss  0.546418, Time  0.233688
2021-09-11 05:32:47.215901 : Epoch  9, Batch    347, Loss  0.549830, Average Loss  0.546418, Time  0.233209
2021-09-11 05:32:48.740361 : Epoch  9, Batch    348, Loss  0.536791, Average Loss  0.546395, Time  0.231739
2021-09-11 05:32:50.252405 : Epoch  9, Batch    349, Loss  0.541576, Average Loss  0.546316, Time  0.232464
2021-09-11 05:32:51.862969 : Epoch  9, Batch    350, Loss  0.538750, Average Loss  0.546315, Time  0.312984
2021-09-11 05:32:53.382988 : Epoch  9, Batch    351, Loss  0.543180, Average Loss  0.546284, Time  0.231045
2021-09-11 05:32:54.918870 : Epoch  9, Batch    352, Loss  0.553804, Average Loss  0.546345, Time  0.235264
2021-09-11 05:32:56.501414 : Epoch  9, Batch    353, Loss  0.540946, Average Loss  0.546328, Time  0.290904
2021-09-11 05:32:58.034881 : Epoch  9, Batch    354, Loss  0.543547, Average Loss  0.546284, Time  0.231392
2021-09-11 05:32:59.570749 : Epoch  9, Batch    355, Loss  0.533793, Average Loss  0.546203, Time  0.232511
2021-09-11 05:33:01.120427 : Epoch  9, Batch    356, Loss  0.553760, Average Loss  0.546163, Time  0.231312
2021-09-11 05:33:02.665862 : Epoch  9, Batch    357, Loss  0.531293, Average Loss  0.546059, Time  0.233780
2021-09-11 05:33:04.204939 : Epoch  9, Batch    358, Loss  0.563013, Average Loss  0.546141, Time  0.232631
2021-09-11 05:33:05.731246 : Epoch  9, Batch    359, Loss  0.541746, Average Loss  0.546157, Time  0.231850
2021-09-11 05:33:07.268399 : Epoch  9, Batch    360, Loss  0.539875, Average Loss  0.546165, Time  0.230792
2021-09-11 05:33:08.788958 : Epoch  9, Batch    361, Loss  0.567892, Average Loss  0.546245, Time  0.231044
2021-09-11 05:33:10.314441 : Epoch  9, Batch    362, Loss  0.538414, Average Loss  0.546193, Time  0.230683
2021-09-11 05:33:11.837039 : Epoch  9, Batch    363, Loss  0.560426, Average Loss  0.546206, Time  0.230732
2021-09-11 05:33:13.375890 : Epoch  9, Batch    364, Loss  0.537150, Average Loss  0.546108, Time  0.244449
2021-09-11 05:33:14.908853 : Epoch  9, Batch    365, Loss  0.542343, Average Loss  0.546153, Time  0.233645
2021-09-11 05:33:16.431879 : Epoch  9, Batch    366, Loss  0.542983, Average Loss  0.546083, Time  0.232885
2021-09-11 05:33:18.042409 : Epoch  9, Batch    367, Loss  0.532937, Average Loss  0.545959, Time  0.311885
2021-09-11 05:33:19.575394 : Epoch  9, Batch    368, Loss  0.548746, Average Loss  0.546031, Time  0.231060
2021-09-11 05:33:21.107705 : Epoch  9, Batch    369, Loss  0.536557, Average Loss  0.545961, Time  0.231241
2021-09-11 05:33:22.890439 : Epoch  9, Batch    370, Loss  0.536967, Average Loss  0.545957, Time  0.312404
2021-09-11 05:33:24.417711 : Epoch  9, Batch    371, Loss  0.533815, Average Loss  0.545926, Time  0.231680
2021-09-11 05:33:25.962379 : Epoch  9, Batch    372, Loss  0.550655, Average Loss  0.545978, Time  0.230727
2021-09-11 05:33:27.577179 : Epoch  9, Batch    373, Loss  0.543147, Average Loss  0.545903, Time  0.312297
2021-09-11 05:33:29.107041 : Epoch  9, Batch    374, Loss  0.552281, Average Loss  0.545957, Time  0.230911
2021-09-11 05:33:32.964954 : Epoch  9, Batch    375, Loss  0.528569, Average Loss  0.545817, Time  0.230838
2021-09-11 05:33:34.477420 : Epoch  9, Batch    376, Loss  0.534551, Average Loss  0.545818, Time  0.231694
2021-09-11 05:33:36.008804 : Epoch  9, Batch    377, Loss  0.546208, Average Loss  0.545808, Time  0.235196
2021-09-11 05:33:37.545850 : Epoch  9, Batch    378, Loss  0.554869, Average Loss  0.545844, Time  0.237430
2021-09-11 05:33:39.224861 : Epoch  9, Batch    379, Loss  0.545773, Average Loss  0.545808, Time  0.231684
2021-09-11 05:33:40.760130 : Epoch  9, Batch    380, Loss  0.536215, Average Loss  0.545689, Time  0.232435
2021-09-11 05:33:42.293944 : Epoch  9, Batch    381, Loss  0.548078, Average Loss  0.545673, Time  0.230820
2021-09-11 05:33:43.813841 : Epoch  9, Batch    382, Loss  0.549435, Average Loss  0.545624, Time  0.231044
2021-09-11 05:33:45.356463 : Epoch  9, Batch    383, Loss  0.531536, Average Loss  0.545602, Time  0.237796
2021-09-11 05:33:46.876430 : Epoch  9, Batch    384, Loss  0.554563, Average Loss  0.545585, Time  0.230925
2021-09-11 05:33:48.418943 : Epoch  9, Batch    385, Loss  0.529080, Average Loss  0.545541, Time  0.237973
2021-09-11 05:33:49.946086 : Epoch  9, Batch    386, Loss  0.537531, Average Loss  0.545477, Time  0.231147
2021-09-11 05:33:51.558895 : Epoch  9, Batch    387, Loss  0.554510, Average Loss  0.545495, Time  0.315398
2021-09-11 05:33:53.088425 : Epoch  9, Batch    388, Loss  0.543432, Average Loss  0.545475, Time  0.230844
2021-09-11 05:33:54.624355 : Epoch  9, Batch    389, Loss  0.521534, Average Loss  0.545359, Time  0.232222
2021-09-11 05:33:56.246382 : Epoch  9, Batch    390, Loss  0.536189, Average Loss  0.545346, Time  0.315505
2021-09-11 05:33:57.772434 : Epoch  9, Batch    391, Loss  0.544012, Average Loss  0.545347, Time  0.230813
2021-09-11 05:33:59.295426 : Epoch  9, Batch    392, Loss  0.551772, Average Loss  0.545363, Time  0.230988
2021-09-11 05:34:00.849414 : Epoch  9, Batch    393, Loss  0.550082, Average Loss  0.545416, Time  0.233195
2021-09-11 05:34:02.395426 : Epoch  9, Batch    394, Loss  0.546726, Average Loss  0.545369, Time  0.241397
2021-09-11 05:34:03.931439 : Epoch  9, Batch    395, Loss  0.554490, Average Loss  0.545450, Time  0.230957
2021-09-11 05:34:05.470897 : Epoch  9, Batch    396, Loss  0.540560, Average Loss  0.545414, Time  0.232866
2021-09-11 05:34:06.994890 : Epoch  9, Batch    397, Loss  0.543704, Average Loss  0.545405, Time  0.231205
2021-09-11 05:34:08.511419 : Epoch  9, Batch    398, Loss  0.546341, Average Loss  0.545445, Time  0.230725
2021-09-11 05:34:10.036900 : Epoch  9, Batch    399, Loss  0.536718, Average Loss  0.545373, Time  0.231250
2021-09-11 05:34:11.566405 : Epoch  9, Batch    400, Loss  0.534896, Average Loss  0.545331, Time  0.230714
2021-09-11 05:34:13.107124 : Epoch  9, Batch    401, Loss  0.553091, Average Loss  0.545363, Time  0.246481
2021-09-11 05:34:14.638762 : Epoch  9, Batch    402, Loss  0.542040, Average Loss  0.545346, Time  0.232540
2021-09-11 05:34:16.177917 : Epoch  9, Batch    403, Loss  0.530171, Average Loss  0.545189, Time  0.233123
2021-09-11 05:34:17.786879 : Epoch  9, Batch    404, Loss  0.546000, Average Loss  0.545218, Time  0.316314
2021-09-11 05:34:43.084922 : CheckPoint: Validation Loss  0.00029379, Best Loss  0.00029375
2021-09-11 05:34:45.788572 : Epoch  2, Batch    945, Loss  0.849054, Average Loss  0.870202, Time  0.245363
2021-09-11 05:34:48.440239 : Epoch  2, Batch    946, Loss  0.876699, Average Loss  0.870405, Time  0.239146
2021-09-11 05:34:51.082847 : Epoch  2, Batch    947, Loss  0.875844, Average Loss  0.870359, Time  0.261853
2021-09-11 05:34:53.688257 : Epoch  2, Batch    948, Loss  0.875637, Average Loss  0.870402, Time  0.241176
2021-09-11 05:34:56.319372 : Epoch  2, Batch    949, Loss  0.866821, Average Loss  0.870530, Time  0.255419
2021-09-11 05:34:58.920332 : Epoch  2, Batch    950, Loss  0.862855, Average Loss  0.870620, Time  0.239997
2021-09-11 05:35:01.566803 : Epoch  2, Batch    951, Loss  0.883068, Average Loss  0.870704, Time  0.242128
2021-09-11 05:35:04.193395 : Epoch  2, Batch    952, Loss  0.867094, Average Loss  0.870811, Time  0.243877
2021-09-11 05:35:06.823431 : Epoch  2, Batch    953, Loss  0.871846, Average Loss  0.870767, Time  0.244105
2021-09-11 05:35:09.466075 : Epoch  2, Batch    954, Loss  0.857943, Average Loss  0.870601, Time  0.246580
2021-09-11 05:35:12.118004 : Epoch  2, Batch    955, Loss  0.872979, Average Loss  0.870546, Time  0.243447
2021-09-11 05:35:14.101747 : CheckPoint: Validation Loss  0.00022952, Best Loss  0.00021921
2021-09-11 05:35:14.745322 : Epoch  2, Batch    956, Loss  0.890508, Average Loss  0.870735, Time  0.243070
2021-09-11 05:35:15.904088 : Epoch  9, Batch    405, Loss  0.540386, Average Loss  0.545185, Time  0.235275
2021-09-11 05:35:17.527871 : Epoch  2, Batch    957, Loss  0.872358, Average Loss  0.870718, Time  0.423015
2021-09-11 05:35:17.577077 : Epoch  9, Batch    406, Loss  0.549250, Average Loss  0.545230, Time  0.355459
2021-09-11 05:35:18.149729 : CheckPoint: Validation Loss  0.00060337, Best Loss  0.00057296
2021-09-11 05:35:19.104836 : Epoch  9, Batch    407, Loss  0.543161, Average Loss  0.545165, Time  0.231241
2021-09-11 05:35:19.800961 : Epoch  3, Batch   3479, Loss  0.895113, Average Loss  0.868042, Time  0.177656
2021-09-11 05:35:20.224846 : Epoch  2, Batch    958, Loss  0.852772, Average Loss  0.870633, Time  0.263475
2021-09-11 05:35:20.635256 : Epoch  9, Batch    408, Loss  0.542794, Average Loss  0.545138, Time  0.231785
2021-09-11 05:35:21.469765 : Epoch  3, Batch   3480, Loss  0.872178, Average Loss  0.868050, Time  0.170072
2021-09-11 05:35:22.169908 : Epoch  9, Batch    409, Loss  0.563115, Average Loss  0.545149, Time  0.236147
2021-09-11 05:35:22.937031 : Epoch  2, Batch    959, Loss  0.863789, Average Loss  0.870630, Time  0.263101
2021-09-11 05:35:23.124000 : Epoch  3, Batch   3481, Loss  0.898486, Average Loss  0.868215, Time  0.178931
2021-09-11 05:35:23.699370 : Epoch  9, Batch    410, Loss  0.560209, Average Loss  0.545201, Time  0.230787
2021-09-11 05:35:24.750025 : Epoch  3, Batch   3482, Loss  0.876254, Average Loss  0.868270, Time  0.188682
2021-09-11 05:35:25.232021 : Epoch  9, Batch    411, Loss  0.536672, Average Loss  0.545151, Time  0.231186
2021-09-11 05:35:25.621122 : Epoch  2, Batch    960, Loss  0.872820, Average Loss  0.870621, Time  0.258361
2021-09-11 05:35:26.362747 : Epoch  3, Batch   3483, Loss  0.863353, Average Loss  0.868195, Time  0.176123
2021-09-11 05:35:26.765363 : Epoch  9, Batch    412, Loss  0.535901, Average Loss  0.545167, Time  0.230551
2021-09-11 05:35:28.003025 : Epoch  3, Batch   3484, Loss  0.879280, Average Loss  0.868290, Time  0.179301
2021-09-11 05:35:28.502046 : Epoch  9, Batch    413, Loss  0.555854, Average Loss  0.545172, Time  0.449758
2021-09-11 05:35:28.548987 : Epoch  2, Batch    961, Loss  0.869276, Average Loss  0.870611, Time  0.462251
2021-09-11 05:35:29.618040 : Epoch  3, Batch   3485, Loss  0.877957, Average Loss  0.868343, Time  0.170109
2021-09-11 05:35:30.028153 : Epoch  9, Batch    414, Loss  0.547700, Average Loss  0.545111, Time  0.232741
2021-09-11 05:35:31.164421 : Epoch  2, Batch    962, Loss  0.856297, Average Loss  0.870527, Time  0.243876
2021-09-11 05:35:31.267032 : Epoch  3, Batch   3486, Loss  0.843724, Average Loss  0.868176, Time  0.169800
2021-09-11 05:35:31.564030 : Epoch  9, Batch    415, Loss  0.546392, Average Loss  0.545093, Time  0.233542
2021-09-11 05:35:32.901024 : Epoch  3, Batch   3487, Loss  0.877228, Average Loss  0.868228, Time  0.174158
2021-09-11 05:35:33.101026 : Epoch  9, Batch    416, Loss  0.546436, Average Loss  0.545079, Time  0.232164
2021-09-11 05:35:33.790856 : Epoch  2, Batch    963, Loss  0.869254, Average Loss  0.870511, Time  0.243289
2021-09-11 05:35:34.534042 : Epoch  3, Batch   3488, Loss  0.867710, Average Loss  0.868319, Time  0.174224
2021-09-11 05:35:34.626854 : Epoch  9, Batch    417, Loss  0.546166, Average Loss  0.545056, Time  0.230679
2021-09-11 05:35:36.171034 : Epoch  3, Batch   3489, Loss  0.883175, Average Loss  0.868292, Time  0.174824
2021-09-11 05:35:36.424275 : Epoch  2, Batch    964, Loss  0.861950, Average Loss  0.870420, Time  0.263744
2021-09-11 05:35:37.752352 : Epoch  9, Batch    419, Loss  0.536635, Average Loss  0.545074, Time  0.230769
2021-09-11 05:35:37.826037 : Epoch  3, Batch   3490, Loss  0.860984, Average Loss  0.868298, Time  0.173277
2021-09-11 05:35:39.217724 : Epoch  2, Batch    965, Loss  0.883702, Average Loss  0.870425, Time  0.348374
2021-09-11 05:35:39.318853 : Epoch  9, Batch    420, Loss  0.533311, Average Loss  0.545001, Time  0.259705
2021-09-11 05:35:39.464034 : Epoch  3, Batch   3491, Loss  0.867616, Average Loss  0.868303, Time  0.181711
2021-09-11 05:35:40.866014 : Epoch  9, Batch    421, Loss  0.538302, Average Loss  0.544985, Time  0.231026
2021-09-11 05:35:41.100036 : Epoch  3, Batch   3492, Loss  0.890183, Average Loss  0.868457, Time  0.170058
2021-09-11 05:35:41.892205 : Epoch  2, Batch    966, Loss  0.867169, Average Loss  0.870257, Time  0.245501
2021-09-11 05:35:42.405781 : Epoch  9, Batch    422, Loss  0.529724, Average Loss  0.544911, Time  0.230717
2021-09-11 05:35:42.740743 : Epoch  3, Batch   3493, Loss  0.857848, Average Loss  0.868530, Time  0.173047
2021-09-11 05:35:43.940660 : Epoch  9, Batch    423, Loss  0.534164, Average Loss  0.544909, Time  0.230370
2021-09-11 05:35:44.359025 : Epoch  3, Batch   3494, Loss  0.877722, Average Loss  0.868531, Time  0.170769
2021-09-11 05:35:44.512906 : Epoch  2, Batch    967, Loss  0.861894, Average Loss  0.870184, Time  0.242492
2021-09-11 05:35:45.462009 : Epoch  9, Batch    424, Loss  0.547659, Average Loss  0.544837, Time  0.230637
2021-09-11 05:35:45.969029 : Epoch  3, Batch   3495, Loss  0.847713, Average Loss  0.868570, Time  0.169963
2021-09-11 05:35:47.114939 : Epoch  9, Batch    425, Loss  0.537699, Average Loss  0.544777, Time  0.368524
2021-09-11 05:35:47.209255 : Epoch  2, Batch    968, Loss  0.864326, Average Loss  0.870193, Time  0.315446
2021-09-11 05:35:47.572814 : Epoch  3, Batch   3496, Loss  0.854285, Average Loss  0.868520, Time  0.175145
2021-09-11 05:35:48.652355 : Epoch  9, Batch    426, Loss  0.554091, Average Loss  0.544819, Time  0.231723
2021-09-11 05:35:49.210031 : Epoch  3, Batch   3497, Loss  0.885419, Average Loss  0.868566, Time  0.169811
2021-09-11 05:35:49.857163 : Epoch  2, Batch    969, Loss  0.862580, Average Loss  0.870177, Time  0.242488
2021-09-11 05:35:50.171891 : Epoch  9, Batch    427, Loss  0.547452, Average Loss  0.544884, Time  0.230583
2021-09-11 05:35:50.843031 : Epoch  3, Batch   3498, Loss  0.837721, Average Loss  0.868363, Time  0.171523
2021-09-11 05:35:51.700813 : Epoch  9, Batch    428, Loss  0.548965, Average Loss  0.544818, Time  0.230721
2021-09-11 05:35:52.484745 : Epoch  3, Batch   3499, Loss  0.877538, Average Loss  0.868555, Time  0.187021
2021-09-11 05:35:52.490217 : Epoch  2, Batch    970, Loss  0.871541, Average Loss  0.870218, Time  0.245948
2021-09-11 05:35:53.243784 : Epoch  9, Batch    429, Loss  0.552878, Average Loss  0.544854, Time  0.231050
2021-09-11 05:35:54.108784 : Epoch  3, Batch   3500, Loss  0.842369, Average Loss  0.868499, Time  0.170193
2021-09-11 05:35:54.773007 : Epoch  9, Batch    430, Loss  0.550197, Average Loss  0.544932, Time  0.230968
2021-09-11 05:35:55.123898 : Epoch  2, Batch    971, Loss  0.872139, Average Loss  0.870174, Time  0.243719
2021-09-11 05:35:55.745029 : Epoch  3, Batch   3501, Loss  0.861616, Average Loss  0.868564, Time  0.176574
2021-09-11 05:35:56.313123 : Epoch  9, Batch    431, Loss  0.548483, Average Loss  0.544927, Time  0.233751
2021-09-11 05:35:57.382036 : Epoch  3, Batch   3502, Loss  0.853601, Average Loss  0.868341, Time  0.177377
2021-09-11 05:35:57.947775 : Epoch  2, Batch    972, Loss  0.879837, Average Loss  0.870127, Time  0.435929
2021-09-11 05:35:57.996622 : Epoch  9, Batch    432, Loss  0.546486, Average Loss  0.544974, Time  0.363330
2021-09-11 05:35:59.011780 : Epoch  3, Batch   3503, Loss  0.861971, Average Loss  0.868409, Time  0.170983
2021-09-11 05:35:59.514939 : Epoch  9, Batch    433, Loss  0.553125, Average Loss  0.544990, Time  0.233283
2021-09-11 05:36:00.594428 : Epoch  2, Batch    973, Loss  0.862165, Average Loss  0.870040, Time  0.244101
2021-09-11 05:36:00.645026 : Epoch  3, Batch   3504, Loss  0.891235, Average Loss  0.868515, Time  0.182401
2021-09-11 05:36:01.048339 : Epoch  9, Batch    434, Loss  0.552070, Average Loss  0.544961, Time  0.234195
2021-09-11 05:36:02.263032 : Epoch  3, Batch   3505, Loss  0.864089, Average Loss  0.868474, Time  0.170108
2021-09-11 05:36:02.575196 : Epoch  9, Batch    435, Loss  0.532583, Average Loss  0.544829, Time  0.235216
2021-09-11 05:36:03.205280 : Epoch  2, Batch    974, Loss  0.885815, Average Loss  0.870051, Time  0.238979
2021-09-11 05:36:03.892720 : Epoch  3, Batch   3506, Loss  0.870545, Average Loss  0.868508, Time  0.174324
2021-09-11 05:36:04.106364 : Epoch  9, Batch    436, Loss  0.533947, Average Loss  0.544824, Time  0.231519
2021-09-11 05:36:05.483749 : Epoch  3, Batch   3507, Loss  0.860088, Average Loss  0.868552, Time  0.169672
2021-09-11 05:36:05.739844 : Epoch  9, Batch    437, Loss  0.536601, Average Loss  0.544834, Time  0.336750
2021-09-11 05:36:05.871112 : Epoch  2, Batch    975, Loss  0.893731, Average Loss  0.870205, Time  0.287500
2021-09-11 05:36:07.103757 : Epoch  3, Batch   3508, Loss  0.854729, Average Loss  0.868451, Time  0.175109
2021-09-11 05:36:07.264357 : Epoch  9, Batch    438, Loss  0.528421, Average Loss  0.544690, Time  0.230211
2021-09-11 05:36:08.501452 : Epoch  2, Batch    976, Loss  0.869846, Average Loss  0.870106, Time  0.245846
2021-09-11 05:36:08.737038 : Epoch  3, Batch   3509, Loss  0.883843, Average Loss  0.868420, Time  0.174633
2021-09-11 05:36:08.787930 : Epoch  9, Batch    439, Loss  0.537691, Average Loss  0.544605, Time  0.230215
2021-09-11 05:36:10.296329 : Epoch  9, Batch    440, Loss  0.533783, Average Loss  0.544467, Time  0.229850
2021-09-11 05:36:10.375029 : Epoch  3, Batch   3510, Loss  0.870216, Average Loss  0.868579, Time  0.173517
2021-09-11 05:36:11.128366 : Epoch  2, Batch    977, Loss  0.870138, Average Loss  0.870157, Time  0.242941
2021-09-11 05:36:11.809143 : Epoch  9, Batch    441, Loss  0.526068, Average Loss  0.544362, Time  0.230405
2021-09-11 05:36:11.972036 : Epoch  3, Batch   3511, Loss  0.868834, Average Loss  0.868597, Time  0.169837
2021-09-11 05:36:13.356963 : Epoch  9, Batch    442, Loss  0.532304, Average Loss  0.544365, Time  0.230762
2021-09-11 05:36:13.582039 : Epoch  3, Batch   3512, Loss  0.869305, Average Loss  0.868600, Time  0.170226
2021-09-11 05:36:13.725776 : Epoch  2, Batch    978, Loss  0.862369, Average Loss  0.870165, Time  0.240861
2021-09-11 05:36:14.888888 : Epoch  9, Batch    443, Loss  0.541952, Average Loss  0.544351, Time  0.230524
2021-09-11 05:36:15.222025 : Epoch  3, Batch   3513, Loss  0.904644, Average Loss  0.868681, Time  0.170013
2021-09-11 05:36:16.521848 : Epoch  2, Batch    979, Loss  0.888411, Average Loss  0.870256, Time  0.437067
2021-09-11 05:36:16.576487 : Epoch  9, Batch    444, Loss  0.549758, Average Loss  0.544407, Time  0.360000
2021-09-11 05:36:16.854033 : Epoch  3, Batch   3514, Loss  0.858374, Average Loss  0.868585, Time  0.173948
2021-09-11 05:36:18.098125 : Epoch  9, Batch    445, Loss  0.546201, Average Loss  0.544365, Time  0.231728
2021-09-11 05:36:18.525375 : Epoch  3, Batch   3515, Loss  0.888485, Average Loss  0.868608, Time  0.170918
2021-09-11 05:36:19.227993 : Epoch  2, Batch    980, Loss  0.875903, Average Loss  0.870360, Time  0.263941
2021-09-11 05:36:19.623376 : Epoch  9, Batch    446, Loss  0.545951, Average Loss  0.544361, Time  0.230575
2021-09-11 05:36:20.171069 : Epoch  3, Batch   3516, Loss  0.870899, Average Loss  0.868637, Time  0.170484
2021-09-11 05:36:21.159020 : Epoch  9, Batch    447, Loss  0.568668, Average Loss  0.544488, Time  0.233717
2021-09-11 05:36:21.811814 : Epoch  3, Batch   3517, Loss  0.908299, Average Loss  0.868991, Time  0.170005
2021-09-11 05:36:21.940298 : Epoch  2, Batch    981, Loss  0.852179, Average Loss  0.870282, Time  0.262390
2021-09-11 05:36:22.708861 : Epoch  9, Batch    448, Loss  0.547532, Average Loss  0.544528, Time  0.234221
2021-09-11 05:36:23.440036 : Epoch  3, Batch   3518, Loss  0.857182, Average Loss  0.868925, Time  0.169951
2021-09-11 05:36:24.257871 : Epoch  9, Batch    449, Loss  0.554378, Average Loss  0.544604, Time  0.239670
2021-09-11 05:36:24.619256 : Epoch  2, Batch    982, Loss  0.877125, Average Loss  0.870446, Time  0.238086
2021-09-11 05:36:25.082779 : Epoch  3, Batch   3519, Loss  0.863434, Average Loss  0.868877, Time  0.178360
2021-09-11 05:36:25.806853 : Epoch  9, Batch    450, Loss  0.534508, Average Loss  0.544512, Time  0.241260
2021-09-11 05:36:26.732034 : Epoch  3, Batch   3520, Loss  0.885847, Average Loss  0.868911, Time  0.175903
2021-09-11 05:36:27.430220 : Epoch  2, Batch    983, Loss  0.861897, Average Loss  0.870405, Time  0.420570
2021-09-11 05:36:27.483233 : Epoch  9, Batch    451, Loss  0.571520, Average Loss  0.544627, Time  0.351427
2021-09-11 05:36:28.368032 : Epoch  3, Batch   3521, Loss  0.886700, Average Loss  0.869028, Time  0.169831
2021-09-11 05:36:29.013044 : Epoch  9, Batch    452, Loss  0.546275, Average Loss  0.544614, Time  0.238137
2021-09-11 05:36:29.989014 : Epoch  3, Batch   3522, Loss  0.886944, Average Loss  0.869110, Time  0.174896
2021-09-11 05:36:30.073380 : Epoch  2, Batch    984, Loss  0.877292, Average Loss  0.870412, Time  0.242074
2021-09-11 05:36:30.550810 : Epoch  9, Batch    453, Loss  0.528552, Average Loss  0.544452, Time  0.231194
2021-09-11 05:36:31.593022 : Epoch  3, Batch   3523, Loss  0.857202, Average Loss  0.869079, Time  0.173629
2021-09-11 05:36:32.092370 : Epoch  9, Batch    454, Loss  0.550278, Average Loss  0.544445, Time  0.231594
2021-09-11 05:36:32.720929 : Epoch  2, Batch    985, Loss  0.855145, Average Loss  0.870355, Time  0.259482
2021-09-11 05:36:33.201525 : Epoch  3, Batch   3524, Loss  0.882047, Average Loss  0.869201, Time  0.178450
2021-09-11 05:36:33.624082 : Epoch  9, Batch    455, Loss  0.544433, Average Loss  0.544391, Time  0.233408
2021-09-11 05:36:34.834030 : Epoch  3, Batch   3525, Loss  0.879466, Average Loss  0.869188, Time  0.173409
2021-09-11 05:36:35.213809 : Epoch  9, Batch    456, Loss  0.551346, Average Loss  0.544393, Time  0.289501
2021-09-11 05:36:35.378988 : Epoch  2, Batch    986, Loss  0.878319, Average Loss  0.870433, Time  0.261047
2021-09-11 05:36:36.453790 : Epoch  3, Batch   3526, Loss  0.848448, Average Loss  0.868907, Time  0.169938
2021-09-11 05:36:36.749935 : Epoch  9, Batch    457, Loss  0.540394, Average Loss  0.544376, Time  0.236082
2021-09-11 05:36:38.023795 : Epoch  2, Batch    987, Loss  0.858310, Average Loss  0.870347, Time  0.245122
2021-09-11 05:36:38.099034 : Epoch  3, Batch   3527, Loss  0.824325, Average Loss  0.868599, Time  0.173137
2021-09-11 05:36:38.278172 : Epoch  9, Batch    458, Loss  0.535486, Average Loss  0.544213, Time  0.232048
2021-09-11 05:36:39.719738 : Epoch  3, Batch   3528, Loss  0.842307, Average Loss  0.868457, Time  0.172872
2021-09-11 05:36:39.805817 : Epoch  9, Batch    459, Loss  0.548306, Average Loss  0.544203, Time  0.230673
2021-09-11 05:36:40.658813 : Epoch  2, Batch    988, Loss  0.858191, Average Loss  0.870206, Time  0.259720
2021-09-11 05:36:41.348029 : Epoch  3, Batch   3529, Loss  0.884195, Average Loss  0.868569, Time  0.175520
2021-09-11 05:36:41.389871 : Epoch  9, Batch    460, Loss  0.537095, Average Loss  0.544219, Time  0.232167
2021-09-11 05:36:42.907874 : Epoch  9, Batch    461, Loss  0.546150, Average Loss  0.544231, Time  0.237526
2021-09-11 05:36:43.025025 : Epoch  3, Batch   3530, Loss  0.862959, Average Loss  0.868502, Time  0.169696
2021-09-11 05:36:43.361760 : Epoch  2, Batch    989, Loss  0.886609, Average Loss  0.870305, Time  0.264011
2021-09-11 05:36:44.458222 : Epoch  9, Batch    462, Loss  0.536732, Average Loss  0.544125, Time  0.232631
2021-09-11 05:36:44.641834 : Epoch  3, Batch   3531, Loss  0.869717, Average Loss  0.868444, Time  0.169999
2021-09-11 05:36:46.200090 : Epoch  9, Batch    463, Loss  0.552134, Average Loss  0.544237, Time  0.444697
2021-09-11 05:36:46.259036 : Epoch  3, Batch   3532, Loss  0.860704, Average Loss  0.868301, Time  0.173136
2021-09-11 05:36:47.730114 : Epoch  9, Batch    464, Loss  0.571802, Average Loss  0.544361, Time  0.231597
2021-09-11 05:36:47.943038 : Epoch  3, Batch   3533, Loss  0.855038, Average Loss  0.868318, Time  0.169818
2021-09-11 05:36:48.865011 : Epoch  2, Batch    991, Loss  0.866519, Average Loss  0.870406, Time  0.258950
2021-09-11 05:36:49.255137 : Epoch  9, Batch    465, Loss  0.544552, Average Loss  0.544357, Time  0.230780
2021-09-11 05:36:49.559055 : Epoch  3, Batch   3534, Loss  0.907295, Average Loss  0.868506, Time  0.174206
2021-09-11 05:36:50.794996 : Epoch  9, Batch    466, Loss  0.547359, Average Loss  0.544376, Time  0.230949
2021-09-11 05:36:51.185036 : Epoch  3, Batch   3535, Loss  0.861303, Average Loss  0.868418, Time  0.170244
2021-09-11 05:36:51.522744 : Epoch  2, Batch    992, Loss  0.883527, Average Loss  0.870520, Time  0.242372
2021-09-11 05:36:52.337002 : Epoch  9, Batch    467, Loss  0.546309, Average Loss  0.544370, Time  0.235427
2021-09-11 05:36:52.829854 : Epoch  3, Batch   3536, Loss  0.879849, Average Loss  0.868493, Time  0.184267
2021-09-11 05:36:53.878362 : Epoch  9, Batch    468, Loss  0.548142, Average Loss  0.544399, Time  0.234247
2021-09-11 05:36:54.182000 : Epoch  2, Batch    993, Loss  0.885179, Average Loss  0.870596, Time  0.243819
2021-09-11 05:36:54.484031 : Epoch  3, Batch   3537, Loss  0.854441, Average Loss  0.868409, Time  0.176515
2021-09-11 05:36:55.410859 : Epoch  9, Batch    469, Loss  0.535959, Average Loss  0.544381, Time  0.231623
2021-09-11 05:36:56.094742 : Epoch  3, Batch   3538, Loss  0.891222, Average Loss  0.868451, Time  0.173461
2021-09-11 05:36:57.062115 : Epoch  2, Batch    994, Loss  0.858963, Average Loss  0.870404, Time  0.435091
2021-09-11 05:36:57.116423 : Epoch  9, Batch    470, Loss  0.553072, Average Loss  0.544416, Time  0.361419
2021-09-11 05:36:57.727842 : Epoch  3, Batch   3539, Loss  0.848257, Average Loss  0.868401, Time  0.173386
2021-09-11 05:36:58.633313 : Epoch  9, Batch    471, Loss  0.547832, Average Loss  0.544444, Time  0.230351
2021-09-11 05:36:59.355933 : Epoch  3, Batch   3540, Loss  0.844942, Average Loss  0.868211, Time  0.170855
2021-09-11 05:36:59.689766 : Epoch  2, Batch    995, Loss  0.882609, Average Loss  0.870481, Time  0.242146
2021-09-11 05:37:00.169919 : Epoch  9, Batch    472, Loss  0.564878, Average Loss  0.544518, Time  0.233254
2021-09-11 05:37:01.002038 : Epoch  3, Batch   3541, Loss  0.860233, Average Loss  0.868253, Time  0.178904
2021-09-11 05:37:01.705102 : Epoch  9, Batch    473, Loss  0.534839, Average Loss  0.544475, Time  0.231557
2021-09-11 05:37:02.307816 : Epoch  2, Batch    996, Loss  0.868226, Average Loss  0.870490, Time  0.243359
2021-09-11 05:37:02.633031 : Epoch  3, Batch   3542, Loss  0.870014, Average Loss  0.868189, Time  0.173876
2021-09-11 05:37:03.241990 : Epoch  9, Batch    474, Loss  0.561961, Average Loss  0.544520, Time  0.233335
2021-09-11 05:37:04.245829 : Epoch  3, Batch   3543, Loss  0.858572, Average Loss  0.868147, Time  0.169869
2021-09-11 05:37:04.929957 : Epoch  2, Batch    997, Loss  0.865901, Average Loss  0.870533, Time  0.259442
2021-09-11 05:37:05.846037 : Epoch  3, Batch   3544, Loss  0.876236, Average Loss  0.868246, Time  0.174151
2021-09-11 05:37:07.136857 : Epoch  9, Batch    475, Loss  0.545104, Average Loss  0.544525, Time  0.230685
2021-09-11 05:37:07.487039 : Epoch  3, Batch   3545, Loss  0.856494, Average Loss  0.868119, Time  0.171261
2021-09-11 05:37:07.590006 : Epoch  2, Batch    998, Loss  0.853730, Average Loss  0.870400, Time  0.239893
2021-09-11 05:37:08.683361 : Epoch  9, Batch    476, Loss  0.545210, Average Loss  0.544534, Time  0.230768
2021-09-11 05:37:09.135028 : Epoch  3, Batch   3546, Loss  0.886936, Average Loss  0.868462, Time  0.174234
2021-09-11 05:37:10.396873 : Epoch  9, Batch    477, Loss  0.548825, Average Loss  0.544517, Time  0.436812
2021-09-11 05:37:10.449844 : Epoch  2, Batch    999, Loss  0.867054, Average Loss  0.870383, Time  0.411379
2021-09-11 05:37:10.781026 : Epoch  3, Batch   3547, Loss  0.878467, Average Loss  0.868741, Time  0.179939
2021-09-11 05:37:11.957394 : Epoch  9, Batch    478, Loss  0.536939, Average Loss  0.544440, Time  0.231517
2021-09-11 05:37:12.403034 : Epoch  3, Batch   3548, Loss  0.882610, Average Loss  0.868834, Time  0.176211
2021-09-11 05:37:13.125598 : Epoch  2, Batch   1000, Loss  0.861160, Average Loss  0.870417, Time  0.238897
2021-09-11 05:37:13.504462 : Epoch  9, Batch    479, Loss  0.558660, Average Loss  0.544502, Time  0.234655
2021-09-11 05:37:14.050797 : Epoch  3, Batch   3549, Loss  0.887176, Average Loss  0.868932, Time  0.169987
2021-09-11 05:37:15.034112 : Epoch  9, Batch    480, Loss  0.556680, Average Loss  0.544583, Time  0.230716
2021-09-11 05:37:15.695764 : Epoch  3, Batch   3550, Loss  0.865484, Average Loss  0.868794, Time  0.185295
2021-09-11 05:37:15.823600 : Epoch  2, Batch   1001, Loss  0.837512, Average Loss  0.870273, Time  0.264810
2021-09-11 05:37:16.596927 : Epoch  9, Batch    481, Loss  0.557183, Average Loss  0.544641, Time  0.232186
2021-09-11 05:37:17.357019 : Epoch  3, Batch   3551, Loss  0.876336, Average Loss  0.868752, Time  0.182896
2021-09-11 05:37:18.138993 : Epoch  9, Batch    482, Loss  0.546608, Average Loss  0.544634, Time  0.231582
2021-09-11 05:37:18.528065 : Epoch  2, Batch   1002, Loss  0.854558, Average Loss  0.870196, Time  0.260648
2021-09-11 05:37:19.010394 : Epoch  3, Batch   3552, Loss  0.885248, Average Loss  0.868688, Time  0.178639
2021-09-11 05:37:19.687390 : Epoch  9, Batch    483, Loss  0.563231, Average Loss  0.544741, Time  0.234073
2021-09-11 05:37:20.644759 : Epoch  3, Batch   3553, Loss  0.889166, Average Loss  0.868695, Time  0.177045
2021-09-11 05:37:21.345035 : Epoch  2, Batch   1003, Loss  0.859501, Average Loss  0.870162, Time  0.437503
2021-09-11 05:37:21.398873 : Epoch  9, Batch    484, Loss  0.549434, Average Loss  0.544768, Time  0.363792
2021-09-11 05:37:22.265036 : Epoch  3, Batch   3554, Loss  0.876025, Average Loss  0.868836, Time  0.171006
2021-09-11 05:37:22.907984 : Epoch  9, Batch    485, Loss  0.547623, Average Loss  0.544708, Time  0.230657
2021-09-11 05:37:23.895030 : Epoch  3, Batch   3555, Loss  0.884721, Average Loss  0.868998, Time  0.176810
2021-09-11 05:37:23.978860 : Epoch  2, Batch   1004, Loss  0.872014, Average Loss  0.870211, Time  0.242053
2021-09-11 05:37:24.432377 : Epoch  9, Batch    486, Loss  0.531914, Average Loss  0.544646, Time  0.232593
2021-09-11 05:37:25.503342 : Epoch  3, Batch   3556, Loss  0.893797, Average Loss  0.869112, Time  0.171984
2021-09-11 05:37:25.961372 : Epoch  9, Batch    487, Loss  0.538199, Average Loss  0.544609, Time  0.230475
2021-09-11 05:37:26.712048 : Epoch  2, Batch   1005, Loss  0.874286, Average Loss  0.870125, Time  0.261111
2021-09-11 05:37:27.133942 : Epoch  3, Batch   3557, Loss  0.879813, Average Loss  0.869027, Time  0.169631
2021-09-11 05:37:27.481136 : Epoch  9, Batch    488, Loss  0.536920, Average Loss  0.544611, Time  0.231872
2021-09-11 05:37:28.758750 : Epoch  3, Batch   3558, Loss  0.851906, Average Loss  0.868950, Time  0.175917
2021-09-11 05:37:28.996865 : Epoch  9, Batch    489, Loss  0.542721, Average Loss  0.544665, Time  0.231946
2021-09-11 05:37:29.331746 : Epoch  2, Batch   1006, Loss  0.884641, Average Loss  0.870096, Time  0.243355
2021-09-11 05:37:30.369838 : Epoch  3, Batch   3559, Loss  0.896099, Average Loss  0.869035, Time  0.170422
2021-09-11 05:37:30.523413 : Epoch  9, Batch    490, Loss  0.546800, Average Loss  0.544636, Time  0.232823
2021-09-11 05:37:31.999806 : Epoch  3, Batch   3560, Loss  0.881967, Average Loss  0.868965, Time  0.197102
2021-09-11 05:37:32.128234 : Epoch  2, Batch   1007, Loss  0.858433, Average Loss  0.870084, Time  0.408760
2021-09-11 05:37:32.178217 : Epoch  9, Batch    491, Loss  0.542863, Average Loss  0.544708, Time  0.338653
2021-09-11 05:37:33.618030 : Epoch  3, Batch   3561, Loss  0.868082, Average Loss  0.868967, Time  0.173604
2021-09-11 05:37:33.705403 : Epoch  9, Batch    492, Loss  0.548114, Average Loss  0.544683, Time  0.234650
2021-09-11 05:37:34.784974 : Epoch  2, Batch   1008, Loss  0.852022, Average Loss  0.869997, Time  0.242386
2021-09-11 05:37:35.253409 : Epoch  9, Batch    493, Loss  0.541159, Average Loss  0.544683, Time  0.235052
2021-09-11 05:37:35.274821 : Epoch  3, Batch   3562, Loss  0.896536, Average Loss  0.869198, Time  0.177248
2021-09-11 05:37:36.775828 : Epoch  9, Batch    494, Loss  0.557844, Average Loss  0.544704, Time  0.231386
2021-09-11 05:37:36.936029 : Epoch  3, Batch   3563, Loss  0.860864, Average Loss  0.869047, Time  0.170183
2021-09-11 05:37:37.428880 : Epoch  2, Batch   1009, Loss  0.865804, Average Loss  0.869976, Time  0.244556
2021-09-11 05:37:38.294322 : Epoch  9, Batch    495, Loss  0.544529, Average Loss  0.544763, Time  0.230480
2021-09-11 05:37:38.554031 : Epoch  3, Batch   3564, Loss  0.868306, Average Loss  0.868891, Time  0.169838
2021-09-11 05:37:39.823081 : Epoch  9, Batch    496, Loss  0.537861, Average Loss  0.544641, Time  0.231024
2021-09-11 05:37:40.057928 : Epoch  2, Batch   1010, Loss  0.863400, Average Loss  0.869924, Time  0.249942
2021-09-11 05:37:40.189030 : Epoch  3, Batch   3565, Loss  0.862578, Average Loss  0.868812, Time  0.174001
2021-09-11 05:37:41.369036 : Epoch  9, Batch    497, Loss  0.537832, Average Loss  0.544548, Time  0.234284
2021-09-11 05:37:41.815743 : Epoch  3, Batch   3566, Loss  0.870540, Average Loss  0.868724, Time  0.176664
2021-09-11 05:37:42.675322 : Epoch  2, Batch   1011, Loss  0.876722, Average Loss  0.869953, Time  0.241638
2021-09-11 05:37:42.900394 : Epoch  9, Batch    498, Loss  0.545067, Average Loss  0.544633, Time  0.234480
2021-09-11 05:37:43.482029 : Epoch  3, Batch   3567, Loss  0.864132, Average Loss  0.868625, Time  0.175485
2021-09-11 05:37:44.448025 : Epoch  9, Batch    499, Loss  0.528200, Average Loss  0.544643, Time  0.239328
2021-09-11 05:37:45.120034 : Epoch  3, Batch   3568, Loss  0.870594, Average Loss  0.868602, Time  0.175062
2021-09-11 05:37:45.345850 : Epoch  2, Batch   1012, Loss  0.861261, Average Loss  0.869751, Time  0.244804
2021-09-11 05:37:45.995983 : Epoch  9, Batch    500, Loss  0.548173, Average Loss  0.544650, Time  0.233512
2021-09-11 05:37:46.723265 : Epoch  3, Batch   3569, Loss  0.870166, Average Loss  0.868720, Time  0.169908
2021-09-11 05:37:47.533215 : Epoch  9, Batch    501, Loss  0.532060, Average Loss  0.544607, Time  0.234575
2021-09-11 05:37:47.988790 : Epoch  2, Batch   1013, Loss  0.867504, Average Loss  0.869781, Time  0.240106
2021-09-11 05:37:48.335037 : Epoch  3, Batch   3570, Loss  0.862137, Average Loss  0.868614, Time  0.170020
2021-09-11 05:37:49.087991 : Epoch  9, Batch    502, Loss  0.548642, Average Loss  0.544637, Time  0.230675
2021-09-11 05:37:49.976022 : Epoch  3, Batch   3571, Loss  0.877050, Average Loss  0.868587, Time  0.178455
2021-09-11 05:37:50.836171 : Epoch  9, Batch    503, Loss  0.551392, Average Loss  0.544645, Time  0.451222
2021-09-11 05:37:50.893829 : Epoch  2, Batch   1014, Loss  0.856759, Average Loss  0.869770, Time  0.452182
2021-09-11 05:37:51.611028 : Epoch  3, Batch   3572, Loss  0.881085, Average Loss  0.868795, Time  0.169847
2021-09-11 05:37:52.448531 : Epoch  9, Batch    504, Loss  0.553113, Average Loss  0.544708, Time  0.231434
2021-09-11 05:37:53.254021 : Epoch  3, Batch   3573, Loss  0.858871, Average Loss  0.868827, Time  0.179546
2021-09-11 05:37:53.638316 : Epoch  2, Batch   1015, Loss  0.852580, Average Loss  0.869711, Time  0.268624
2021-09-11 05:37:54.910885 : Epoch  3, Batch   3574, Loss  0.908125, Average Loss  0.868968, Time  0.169834
2021-09-11 05:37:56.376240 : Epoch  2, Batch   1016, Loss  0.884695, Average Loss  0.869872, Time  0.287874
2021-09-11 05:37:56.532871 : Epoch  3, Batch   3575, Loss  0.859589, Average Loss  0.868899, Time  0.178661
2021-09-11 05:37:58.165027 : Epoch  3, Batch   3576, Loss  0.876914, Average Loss  0.869085, Time  0.176740
2021-09-11 05:37:58.989098 : Epoch  2, Batch   1017, Loss  0.857138, Average Loss  0.869810, Time  0.242812
2021-09-11 05:37:59.795871 : Epoch  3, Batch   3577, Loss  0.864425, Average Loss  0.869033, Time  0.169841
2021-09-11 05:38:01.609531 : Epoch  2, Batch   1018, Loss  0.869977, Average Loss  0.869704, Time  0.252687
2021-09-11 05:38:04.229443 : Epoch  2, Batch   1019, Loss  0.869410, Average Loss  0.869719, Time  0.246996
2021-09-11 05:38:06.891016 : Epoch  2, Batch   1020, Loss  0.897236, Average Loss  0.869773, Time  0.239834
2021-09-11 05:38:06.927760 : Epoch  3, Batch   3578, Loss  0.855514, Average Loss  0.869072, Time  0.183502
2021-09-11 05:38:09.592408 : Epoch  2, Batch   1021, Loss  0.864820, Average Loss  0.869757, Time  0.265370
2021-09-11 05:38:12.273809 : Epoch  2, Batch   1022, Loss  0.884280, Average Loss  0.869899, Time  0.259285
2021-09-11 05:38:14.945747 : Epoch  2, Batch   1023, Loss  0.888557, Average Loss  0.870035, Time  0.238308
2021-09-11 05:38:17.633174 : Epoch  2, Batch   1024, Loss  0.885536, Average Loss  0.870058, Time  0.243506
2021-09-11 05:38:20.270001 : Epoch  2, Batch   1025, Loss  0.858045, Average Loss  0.869968, Time  0.239464
2021-09-11 05:38:22.915028 : Epoch  2, Batch   1026, Loss  0.869152, Average Loss  0.869986, Time  0.246406
2021-09-11 05:38:25.572767 : Epoch  2, Batch   1027, Loss  0.869928, Average Loss  0.870089, Time  0.241612
2021-09-11 05:38:28.240331 : Epoch  2, Batch   1028, Loss  0.870685, Average Loss  0.870004, Time  0.251015
2021-09-11 05:38:30.885939 : Epoch  2, Batch   1029, Loss  0.847016, Average Loss  0.869898, Time  0.248119
2021-09-11 05:38:33.535266 : Epoch  2, Batch   1030, Loss  0.858230, Average Loss  0.869803, Time  0.241709
2021-09-11 05:38:36.157415 : Epoch  2, Batch   1031, Loss  0.876587, Average Loss  0.869759, Time  0.241252
2021-09-11 05:38:38.854161 : Epoch  2, Batch   1032, Loss  0.854266, Average Loss  0.869627, Time  0.262022
2021-09-11 05:38:41.489858 : Epoch  2, Batch   1033, Loss  0.873136, Average Loss  0.869675, Time  0.246948
2021-09-11 05:38:44.123743 : Epoch  2, Batch   1034, Loss  0.872754, Average Loss  0.869649, Time  0.242498
2021-09-11 05:38:46.880749 : Epoch  2, Batch   1035, Loss  0.860812, Average Loss  0.869602, Time  0.275693
2021-09-11 05:38:49.069732 : CheckPoint: Validation Loss  0.00022833, Best Loss  0.00021921
2021-09-11 05:38:49.596376 : Epoch  2, Batch   1036, Loss  0.858927, Average Loss  0.869523, Time  0.263490
2021-09-11 05:38:50.635085 : Epoch  9, Batch    505, Loss  0.556435, Average Loss  0.544724, Time  0.234896
2021-09-11 05:38:52.407047 : Epoch  2, Batch   1037, Loss  0.858838, Average Loss  0.869360, Time  0.395661
2021-09-11 05:38:52.460561 : Epoch  9, Batch    506, Loss  0.555919, Average Loss  0.544742, Time  0.453930
2021-09-11 05:38:53.989964 : Epoch  9, Batch    507, Loss  0.538082, Average Loss  0.544684, Time  0.230543
2021-09-11 05:38:55.106759 : Epoch  2, Batch   1038, Loss  0.865144, Average Loss  0.869280, Time  0.261450
2021-09-11 05:38:55.521836 : Epoch  9, Batch    508, Loss  0.552871, Average Loss  0.544751, Time  0.230736
2021-09-11 05:38:57.084182 : Epoch  9, Batch    509, Loss  0.536922, Average Loss  0.544683, Time  0.234235
2021-09-11 05:38:57.727394 : Epoch  2, Batch   1039, Loss  0.874337, Average Loss  0.869259, Time  0.245598
2021-09-11 05:38:58.621358 : Epoch  9, Batch    510, Loss  0.532974, Average Loss  0.544621, Time  0.233678
2021-09-11 05:39:00.163342 : Epoch  9, Batch    511, Loss  0.539467, Average Loss  0.544542, Time  0.234964
2021-09-11 05:39:00.382000 : Epoch  2, Batch   1040, Loss  0.890343, Average Loss  0.869366, Time  0.254008
2021-09-11 05:39:01.700452 : Epoch  9, Batch    512, Loss  0.549915, Average Loss  0.544636, Time  0.232629
2021-09-11 05:39:03.010114 : Epoch  2, Batch   1041, Loss  0.884672, Average Loss  0.869419, Time  0.241257
2021-09-11 05:39:03.234837 : Epoch  9, Batch    513, Loss  0.545603, Average Loss  0.544647, Time  0.232030
2021-09-11 05:39:04.762925 : Epoch  9, Batch    514, Loss  0.558218, Average Loss  0.544725, Time  0.230799
2021-09-11 05:39:05.667806 : Epoch  2, Batch   1042, Loss  0.873357, Average Loss  0.869472, Time  0.242748
2021-09-11 05:39:06.296012 : Epoch  9, Batch    515, Loss  0.529669, Average Loss  0.544692, Time  0.230734
2021-09-11 05:39:07.839914 : Epoch  9, Batch    516, Loss  0.556113, Average Loss  0.544718, Time  0.232094
2021-09-11 05:39:08.300600 : Epoch  2, Batch   1043, Loss  0.877215, Average Loss  0.869641, Time  0.244035
2021-09-11 05:39:09.379362 : Epoch  9, Batch    517, Loss  0.545230, Average Loss  0.544714, Time  0.230634
2021-09-11 05:39:11.136118 : Epoch  9, Batch    518, Loss  0.546266, Average Loss  0.544804, Time  0.450116
2021-09-11 05:39:11.188980 : Epoch  2, Batch   1044, Loss  0.896305, Average Loss  0.869760, Time  0.444131
2021-09-11 05:39:12.677510 : Epoch  9, Batch    519, Loss  0.542512, Average Loss  0.544810, Time  0.232043
2021-09-11 05:39:14.212333 : Epoch  9, Batch    520, Loss  0.540804, Average Loss  0.544752, Time  0.233065
2021-09-11 05:39:15.743844 : Epoch  9, Batch    521, Loss  0.550480, Average Loss  0.544812, Time  0.231629
2021-09-11 05:39:17.275020 : Epoch  9, Batch    522, Loss  0.543352, Average Loss  0.544799, Time  0.231156
2021-09-11 05:39:18.808038 : Epoch  9, Batch    523, Loss  0.542911, Average Loss  0.544825, Time  0.231317
2021-09-11 05:39:20.342388 : Epoch  9, Batch    524, Loss  0.551553, Average Loss  0.544833, Time  0.230916
2021-09-11 05:39:21.877085 : Epoch  9, Batch    525, Loss  0.564258, Average Loss  0.544996, Time  0.230874
2021-09-11 05:39:23.406007 : Epoch  9, Batch    526, Loss  0.535015, Average Loss  0.544980, Time  0.230799
2021-09-11 05:39:24.939123 : Epoch  9, Batch    527, Loss  0.546750, Average Loss  0.545007, Time  0.230882
2021-09-11 05:39:26.582026 : Epoch  9, Batch    528, Loss  0.551559, Average Loss  0.545028, Time  0.312227
2021-09-11 05:39:28.107888 : Epoch  9, Batch    529, Loss  0.547353, Average Loss  0.545043, Time  0.231151
2021-09-11 05:39:29.645376 : Epoch  9, Batch    530, Loss  0.554156, Average Loss  0.545080, Time  0.230759
2021-09-11 05:39:31.166347 : Epoch  9, Batch    531, Loss  0.544905, Average Loss  0.545045, Time  0.232282
2021-09-11 05:39:32.696896 : Epoch  9, Batch    532, Loss  0.554483, Average Loss  0.545043, Time  0.230990
2021-09-11 05:39:34.222826 : Epoch  9, Batch    533, Loss  0.552333, Average Loss  0.545031, Time  0.233806
2021-09-11 05:39:35.765387 : Epoch  9, Batch    534, Loss  0.536753, Average Loss  0.545023, Time  0.234841
2021-09-11 05:39:37.298921 : Epoch  9, Batch    535, Loss  0.541462, Average Loss  0.544929, Time  0.231274
2021-09-11 05:39:38.846391 : Epoch  9, Batch    536, Loss  0.541752, Average Loss  0.544945, Time  0.231310
2021-09-11 05:39:40.382430 : Epoch  9, Batch    537, Loss  0.532377, Average Loss  0.544817, Time  0.231359
2021-09-11 05:39:41.907836 : Epoch  9, Batch    538, Loss  0.546213, Average Loss  0.544879, Time  0.231240
2021-09-11 05:39:43.507000 : Epoch  9, Batch    539, Loss  0.563630, Average Loss  0.544924, Time  0.294894
2021-09-11 05:39:45.045006 : Epoch  9, Batch    540, Loss  0.541026, Average Loss  0.544924, Time  0.230798
2021-09-11 05:39:46.573949 : Epoch  9, Batch    541, Loss  0.551028, Average Loss  0.544932, Time  0.230832
2021-09-11 05:39:48.198424 : Epoch  9, Batch    542, Loss  0.541725, Average Loss  0.544886, Time  0.312902
2021-09-11 05:39:49.730127 : Epoch  9, Batch    543, Loss  0.531813, Average Loss  0.544852, Time  0.232654
2021-09-11 05:39:51.264149 : Epoch  9, Batch    544, Loss  0.558940, Average Loss  0.544965, Time  0.231062
2021-09-11 05:39:52.797900 : Epoch  9, Batch    545, Loss  0.538973, Average Loss  0.544921, Time  0.230882
2021-09-11 05:39:54.333389 : Epoch  9, Batch    546, Loss  0.536523, Average Loss  0.544843, Time  0.230447
2021-09-11 05:39:55.867113 : Epoch  9, Batch    547, Loss  0.551534, Average Loss  0.544851, Time  0.234725
2021-09-11 05:39:57.396262 : Epoch  9, Batch    548, Loss  0.545001, Average Loss  0.544892, Time  0.232731
2021-09-11 05:39:58.938383 : Epoch  9, Batch    549, Loss  0.544763, Average Loss  0.544908, Time  0.234340
2021-09-11 05:40:00.469576 : Epoch  9, Batch    550, Loss  0.547436, Average Loss  0.544952, Time  0.232928
2021-09-11 05:40:01.993935 : Epoch  9, Batch    551, Loss  0.547626, Average Loss  0.544974, Time  0.230694
2021-09-11 05:40:03.549078 : Epoch  9, Batch    552, Loss  0.545990, Average Loss  0.544935, Time  0.235062
2021-09-11 05:40:05.134832 : Epoch  9, Batch    553, Loss  0.544403, Average Loss  0.544952, Time  0.271052
2021-09-11 05:40:06.650630 : Epoch  9, Batch    554, Loss  0.550080, Average Loss  0.544985, Time  0.230532
2021-09-11 05:40:08.172900 : Epoch  9, Batch    555, Loss  0.538045, Average Loss  0.545006, Time  0.231696
2021-09-11 05:40:09.782223 : Epoch  9, Batch    556, Loss  0.527107, Average Loss  0.544873, Time  0.312279
2021-09-11 05:40:11.369415 : Epoch  9, Batch    557, Loss  0.537580, Average Loss  0.544904, Time  0.230428
2021-09-11 05:40:12.900591 : Epoch  9, Batch    558, Loss  0.544123, Average Loss  0.544810, Time  0.230642
2021-09-11 05:40:14.457408 : Epoch  9, Batch    559, Loss  0.542602, Average Loss  0.544814, Time  0.231103
2021-09-11 05:40:16.000404 : Epoch  9, Batch    560, Loss  0.533437, Average Loss  0.544782, Time  0.231012
2021-09-11 05:40:17.546103 : Epoch  9, Batch    561, Loss  0.542186, Average Loss  0.544653, Time  0.234871
2021-09-11 05:40:19.081058 : Epoch  9, Batch    562, Loss  0.541991, Average Loss  0.544671, Time  0.238528
2021-09-11 05:40:20.599198 : Epoch  9, Batch    563, Loss  0.531331, Average Loss  0.544526, Time  0.230727
2021-09-11 05:40:22.116239 : Epoch  9, Batch    564, Loss  0.557584, Average Loss  0.544628, Time  0.234109
2021-09-11 05:40:23.644857 : Epoch  9, Batch    565, Loss  0.544402, Average Loss  0.544638, Time  0.232551
2021-09-11 05:40:25.185931 : Epoch  9, Batch    566, Loss  0.557371, Average Loss  0.544710, Time  0.232295
2021-09-11 05:40:26.757840 : Epoch  9, Batch    567, Loss  0.543948, Average Loss  0.544765, Time  0.231481
2021-09-11 05:40:28.291397 : Epoch  9, Batch    568, Loss  0.552264, Average Loss  0.544783, Time  0.230515
2021-09-11 05:40:29.835447 : Epoch  9, Batch    569, Loss  0.548134, Average Loss  0.544841, Time  0.237610
2021-09-11 05:40:31.450036 : Epoch  9, Batch    570, Loss  0.560502, Average Loss  0.544958, Time  0.312742
2021-09-11 05:40:32.973267 : Epoch  9, Batch    571, Loss  0.530482, Average Loss  0.544942, Time  0.233923
2021-09-11 05:40:34.505374 : Epoch  9, Batch    572, Loss  0.539784, Average Loss  0.544887, Time  0.231170
2021-09-11 05:40:36.058928 : Epoch  9, Batch    573, Loss  0.547304, Average Loss  0.544908, Time  0.232079
2021-09-11 05:40:37.600870 : Epoch  9, Batch    574, Loss  0.546372, Average Loss  0.544879, Time  0.232121
2021-09-11 05:40:41.495052 : Epoch  9, Batch    575, Loss  0.539707, Average Loss  0.544934, Time  0.235136
2021-09-11 05:40:43.024361 : Epoch  9, Batch    576, Loss  0.546572, Average Loss  0.544994, Time  0.233566
2021-09-11 05:40:44.564097 : Epoch  9, Batch    577, Loss  0.536727, Average Loss  0.544947, Time  0.234332
2021-09-11 05:40:46.085233 : Epoch  9, Batch    578, Loss  0.559885, Average Loss  0.544972, Time  0.231845
2021-09-11 05:40:47.601962 : Epoch  9, Batch    579, Loss  0.547911, Average Loss  0.544983, Time  0.230736
2021-09-11 05:40:49.142284 : Epoch  9, Batch    580, Loss  0.535483, Average Loss  0.544979, Time  0.232911
2021-09-11 05:40:50.691070 : Epoch  9, Batch    581, Loss  0.543961, Average Loss  0.544958, Time  0.249941
2021-09-11 05:40:52.213880 : Epoch  9, Batch    582, Loss  0.552512, Average Loss  0.544974, Time  0.230963
2021-09-11 05:40:53.743120 : Epoch  9, Batch    583, Loss  0.539573, Average Loss  0.545014, Time  0.230703
2021-09-11 05:40:55.376378 : Epoch  9, Batch    584, Loss  0.536708, Average Loss  0.544925, Time  0.315494
2021-09-11 05:40:56.913956 : Epoch  9, Batch    585, Loss  0.549822, Average Loss  0.545028, Time  0.234529
2021-09-11 05:40:58.462383 : Epoch  9, Batch    586, Loss  0.540658, Average Loss  0.545044, Time  0.230888
2021-09-11 05:40:59.998964 : Epoch  9, Batch    587, Loss  0.544675, Average Loss  0.544995, Time  0.230671
2021-09-11 05:41:01.520237 : Epoch  9, Batch    588, Loss  0.552904, Average Loss  0.545042, Time  0.231149
2021-09-11 05:41:03.053925 : Epoch  9, Batch    589, Loss  0.539284, Average Loss  0.545131, Time  0.230999
2021-09-11 05:41:04.578054 : Epoch  9, Batch    590, Loss  0.549915, Average Loss  0.545200, Time  0.235912
2021-09-11 05:41:06.111106 : Epoch  9, Batch    591, Loss  0.543521, Average Loss  0.545197, Time  0.231147
2021-09-11 05:41:07.639400 : Epoch  9, Batch    592, Loss  0.546207, Average Loss  0.545169, Time  0.230769
2021-09-11 05:41:09.175141 : Epoch  9, Batch    593, Loss  0.550225, Average Loss  0.545170, Time  0.231380
2021-09-11 05:41:10.705882 : Epoch  9, Batch    594, Loss  0.551078, Average Loss  0.545192, Time  0.231479
2021-09-11 05:41:12.275823 : Epoch  9, Batch    595, Loss  0.532986, Average Loss  0.545084, Time  0.232124
2021-09-11 05:41:13.831370 : Epoch  9, Batch    596, Loss  0.546426, Average Loss  0.545114, Time  0.230454
2021-09-11 05:41:15.386339 : Epoch  9, Batch    597, Loss  0.556965, Average Loss  0.545180, Time  0.232424
2021-09-11 05:41:17.030158 : Epoch  9, Batch    598, Loss  0.562226, Average Loss  0.545259, Time  0.314526
2021-09-11 05:41:18.567984 : Epoch  9, Batch    599, Loss  0.556685, Average Loss  0.545359, Time  0.236824
2021-09-11 05:41:20.104366 : Epoch  9, Batch    600, Loss  0.534796, Average Loss  0.545359, Time  0.233185
2021-09-11 05:41:21.689841 : Epoch  9, Batch    601, Loss  0.537246, Average Loss  0.545280, Time  0.302918
2021-09-11 05:41:23.218362 : Epoch  9, Batch    602, Loss  0.546255, Average Loss  0.545301, Time  0.233007
2021-09-11 05:41:24.768051 : Epoch  9, Batch    603, Loss  0.555860, Average Loss  0.545429, Time  0.236322
2021-09-11 05:41:26.297397 : Epoch  9, Batch    604, Loss  0.546213, Average Loss  0.545430, Time  0.230932
2021-09-11 05:42:22.812733 : CheckPoint: Validation Loss  0.00022387, Best Loss  0.00021921
2021-09-11 05:42:24.348952 : Epoch  9, Batch    605, Loss  0.552933, Average Loss  0.545493, Time  0.230751
2021-09-11 05:42:25.867882 : Epoch  9, Batch    606, Loss  0.530455, Average Loss  0.545399, Time  0.230559
2021-09-11 05:42:27.427968 : Epoch  9, Batch    607, Loss  0.538050, Average Loss  0.545373, Time  0.236157
2021-09-11 05:42:28.963109 : Epoch  9, Batch    608, Loss  0.551620, Average Loss  0.545417, Time  0.235038
2021-09-11 05:42:30.511884 : Epoch  9, Batch    609, Loss  0.553110, Average Loss  0.545367, Time  0.231562
2021-09-11 05:42:32.047335 : Epoch  9, Batch    610, Loss  0.542251, Average Loss  0.545278, Time  0.230826
2021-09-11 05:42:33.624884 : Epoch  9, Batch    611, Loss  0.555495, Average Loss  0.545372, Time  0.274743
2021-09-11 05:42:35.161378 : Epoch  9, Batch    612, Loss  0.552188, Average Loss  0.545453, Time  0.234303
2021-09-11 05:42:36.703024 : Epoch  9, Batch    613, Loss  0.544020, Average Loss  0.545394, Time  0.233315
2021-09-11 05:42:38.348902 : Epoch  9, Batch    614, Loss  0.543267, Average Loss  0.545372, Time  0.316224
2021-09-11 05:42:39.910925 : Epoch  9, Batch    615, Loss  0.544789, Average Loss  0.545364, Time  0.233042
2021-09-11 05:42:41.440387 : Epoch  9, Batch    616, Loss  0.532767, Average Loss  0.545296, Time  0.230959
2021-09-11 05:42:43.092997 : Epoch  9, Batch    617, Loss  0.542185, Average Loss  0.545276, Time  0.312267
2021-09-11 05:42:44.617395 : Epoch  9, Batch    618, Loss  0.537400, Average Loss  0.545256, Time  0.231015
2021-09-11 05:42:46.163954 : Epoch  9, Batch    619, Loss  0.545978, Average Loss  0.545302, Time  0.231942
2021-09-11 05:42:47.595734 : CheckPoint: Validation Loss  0.00060222, Best Loss  0.00057296
2021-09-11 05:42:47.696397 : Epoch  9, Batch    620, Loss  0.534919, Average Loss  0.545310, Time  0.233778
2021-09-11 05:42:49.215952 : Epoch  3, Batch   3579, Loss  0.881817, Average Loss  0.869154, Time  0.180804
2021-09-11 05:42:49.231990 : Epoch  9, Batch    621, Loss  0.547393, Average Loss  0.545356, Time  0.232214
2021-09-11 05:42:50.783458 : Epoch  9, Batch    622, Loss  0.565286, Average Loss  0.545534, Time  0.231830
2021-09-11 05:42:50.881751 : Epoch  3, Batch   3580, Loss  0.865667, Average Loss  0.869116, Time  0.192089
2021-09-11 05:42:52.331064 : Epoch  9, Batch    623, Loss  0.559773, Average Loss  0.545662, Time  0.231203
2021-09-11 05:42:52.546008 : Epoch  3, Batch   3581, Loss  0.893651, Average Loss  0.869119, Time  0.173707
2021-09-11 05:42:53.858417 : Epoch  9, Batch    624, Loss  0.535994, Average Loss  0.545603, Time  0.230629
2021-09-11 05:42:54.200018 : Epoch  3, Batch   3582, Loss  0.845436, Average Loss  0.869041, Time  0.178609
2021-09-11 05:42:55.389393 : Epoch  9, Batch    625, Loss  0.531302, Average Loss  0.545571, Time  0.235385
2021-09-11 05:42:55.821796 : Epoch  3, Batch   3583, Loss  0.871122, Average Loss  0.869106, Time  0.170530
2021-09-11 05:42:56.934966 : Epoch  9, Batch    626, Loss  0.554451, Average Loss  0.545573, Time  0.231141
2021-09-11 05:42:57.479383 : Epoch  3, Batch   3584, Loss  0.879389, Average Loss  0.869204, Time  0.186216
2021-09-11 05:42:58.487191 : Epoch  9, Batch    627, Loss  0.544827, Average Loss  0.545560, Time  0.231191
2021-09-11 05:42:59.131025 : Epoch  3, Batch   3585, Loss  0.861314, Average Loss  0.869128, Time  0.175202
2021-09-11 05:43:00.061394 : Epoch  9, Batch    628, Loss  0.542356, Average Loss  0.545527, Time  0.235643
2021-09-11 05:43:00.765746 : Epoch  3, Batch   3586, Loss  0.866933, Average Loss  0.869188, Time  0.175763
2021-09-11 05:43:01.628280 : Epoch  9, Batch    629, Loss  0.540243, Average Loss  0.545464, Time  0.231125
2021-09-11 05:43:02.420022 : Epoch  3, Batch   3587, Loss  0.854497, Average Loss  0.869185, Time  0.176655
2021-09-11 05:43:03.174320 : Epoch  9, Batch    630, Loss  0.540880, Average Loss  0.545417, Time  0.231602
2021-09-11 05:43:04.075029 : Epoch  3, Batch   3588, Loss  0.881708, Average Loss  0.869264, Time  0.177738
2021-09-11 05:43:04.766854 : Epoch  9, Batch    631, Loss  0.555629, Average Loss  0.545453, Time  0.290309
2021-09-11 05:43:05.711766 : Epoch  3, Batch   3589, Loss  0.861781, Average Loss  0.869346, Time  0.174208
2021-09-11 05:43:06.327406 : Epoch  9, Batch    632, Loss  0.538446, Average Loss  0.545413, Time  0.236186
2021-09-11 05:43:07.355071 : Epoch  3, Batch   3590, Loss  0.852678, Average Loss  0.869394, Time  0.170365
2021-09-11 05:43:07.871263 : Epoch  9, Batch    633, Loss  0.549823, Average Loss  0.545396, Time  0.230881
2021-09-11 05:43:08.993053 : Epoch  3, Batch   3591, Loss  0.873587, Average Loss  0.869578, Time  0.175936
2021-09-11 05:43:09.489798 : Epoch  9, Batch    634, Loss  0.546903, Average Loss  0.545370, Time  0.315981
2021-09-11 05:43:10.647796 : Epoch  3, Batch   3592, Loss  0.853016, Average Loss  0.869634, Time  0.176714
2021-09-11 05:43:11.028010 : Epoch  9, Batch    635, Loss  0.542464, Average Loss  0.545420, Time  0.232057
2021-09-11 05:43:12.281751 : Epoch  3, Batch   3593, Loss  0.910974, Average Loss  0.869796, Time  0.175620
2021-09-11 05:43:12.565196 : Epoch  9, Batch    636, Loss  0.541258, Average Loss  0.545456, Time  0.230523
2021-09-11 05:43:13.935745 : Epoch  3, Batch   3594, Loss  0.875714, Average Loss  0.869761, Time  0.169698
2021-09-11 05:43:14.097011 : Epoch  9, Batch    637, Loss  0.556589, Average Loss  0.545556, Time  0.230749
2021-09-11 05:43:15.569757 : Epoch  3, Batch   3595, Loss  0.873099, Average Loss  0.869840, Time  0.175469
2021-09-11 05:43:15.645052 : Epoch  9, Batch    638, Loss  0.537325, Average Loss  0.545601, Time  0.231546
2021-09-11 05:43:15.749681 : CheckPoint: Validation Loss  0.00029572, Best Loss  0.00029375
2021-09-11 05:43:17.142884 : Epoch  9, Batch    639, Loss  0.542182, Average Loss  0.545623, Time  0.230772
2021-09-11 05:43:17.203028 : Epoch  3, Batch   3596, Loss  0.889163, Average Loss  0.870012, Time  0.170146
2021-09-11 05:43:18.349128 : Epoch  2, Batch   1045, Loss  0.873084, Average Loss  0.869691, Time  0.242121
2021-09-11 05:43:18.683051 : Epoch  9, Batch    640, Loss  0.539804, Average Loss  0.545653, Time  0.232177
2021-09-11 05:43:18.821752 : Epoch  3, Batch   3597, Loss  0.912024, Average Loss  0.870263, Time  0.169811
2021-09-11 05:43:20.227884 : Epoch  9, Batch    641, Loss  0.539352, Average Loss  0.545720, Time  0.231606
2021-09-11 05:43:20.461930 : Epoch  3, Batch   3598, Loss  0.882757, Average Loss  0.870392, Time  0.174926
2021-09-11 05:43:20.962397 : Epoch  2, Batch   1046, Loss  0.877335, Average Loss  0.869810, Time  0.239861
2021-09-11 05:43:21.758161 : Epoch  9, Batch    642, Loss  0.548477, Average Loss  0.545801, Time  0.231185
2021-09-11 05:43:22.095031 : Epoch  3, Batch   3599, Loss  0.881453, Average Loss  0.870397, Time  0.171601
2021-09-11 05:43:23.294386 : Epoch  9, Batch    643, Loss  0.558285, Average Loss  0.545882, Time  0.230387
2021-09-11 05:43:23.578416 : Epoch  2, Batch   1047, Loss  0.862651, Average Loss  0.869742, Time  0.240298
2021-09-11 05:43:23.732841 : Epoch  3, Batch   3600, Loss  0.852689, Average Loss  0.870330, Time  0.176830
2021-09-11 05:43:24.854411 : Epoch  9, Batch    644, Loss  0.539008, Average Loss  0.545829, Time  0.230664
2021-09-11 05:43:25.380029 : Epoch  3, Batch   3601, Loss  0.903042, Average Loss  0.870424, Time  0.169898
2021-09-11 05:43:26.428816 : Epoch  2, Batch   1048, Loss  0.865506, Average Loss  0.869730, Time  0.362583
2021-09-11 05:43:26.518867 : Epoch  9, Batch    645, Loss  0.545081, Average Loss  0.545823, Time  0.294295
2021-09-11 05:43:27.025033 : Epoch  3, Batch   3602, Loss  0.922007, Average Loss  0.870838, Time  0.177794
2021-09-11 05:43:28.093329 : Epoch  9, Batch    646, Loss  0.536639, Average Loss  0.545776, Time  0.234391
2021-09-11 05:43:28.645037 : Epoch  3, Batch   3603, Loss  0.904402, Average Loss  0.871020, Time  0.169855
2021-09-11 05:43:29.095232 : Epoch  2, Batch   1049, Loss  0.861993, Average Loss  0.869595, Time  0.240611
2021-09-11 05:43:29.635827 : Epoch  9, Batch    647, Loss  0.542860, Average Loss  0.545647, Time  0.230894
2021-09-11 05:43:30.301032 : Epoch  3, Batch   3604, Loss  0.855006, Average Loss  0.870805, Time  0.192136
2021-09-11 05:43:31.181099 : Epoch  9, Batch    648, Loss  0.532472, Average Loss  0.545572, Time  0.230839
2021-09-11 05:43:31.744161 : Epoch  2, Batch   1050, Loss  0.902887, Average Loss  0.869772, Time  0.240530
2021-09-11 05:43:31.936890 : Epoch  3, Batch   3605, Loss  0.877559, Average Loss  0.870819, Time  0.170008
2021-09-11 05:43:32.747925 : Epoch  9, Batch    649, Loss  0.553507, Average Loss  0.545568, Time  0.235960
2021-09-11 05:43:33.591038 : Epoch  3, Batch   3606, Loss  0.904220, Average Loss  0.870954, Time  0.174817
2021-09-11 05:43:34.447389 : Epoch  9, Batch    650, Loss  0.532843, Average Loss  0.545559, Time  0.384040
2021-09-11 05:43:34.520206 : Epoch  2, Batch   1051, Loss  0.867245, Average Loss  0.869666, Time  0.335252
2021-09-11 05:43:35.217288 : Epoch  3, Batch   3607, Loss  0.865668, Average Loss  0.870928, Time  0.173865
2021-09-11 05:43:35.987941 : Epoch  9, Batch    651, Loss  0.541721, Average Loss  0.545410, Time  0.231222
2021-09-11 05:43:36.866748 : Epoch  3, Batch   3608, Loss  0.897829, Average Loss  0.871066, Time  0.170088
2021-09-11 05:43:37.209222 : Epoch  2, Batch   1052, Loss  0.868968, Average Loss  0.869682, Time  0.256228
2021-09-11 05:43:37.532955 : Epoch  9, Batch    652, Loss  0.543395, Average Loss  0.545396, Time  0.234378
2021-09-11 05:43:38.499024 : Epoch  3, Batch   3609, Loss  0.849499, Average Loss  0.870965, Time  0.172477
2021-09-11 05:43:39.090357 : Epoch  9, Batch    653, Loss  0.548809, Average Loss  0.545497, Time  0.232809
2021-09-11 05:43:39.859927 : Epoch  2, Batch   1053, Loss  0.865183, Average Loss  0.869661, Time  0.244570
2021-09-11 05:43:40.134749 : Epoch  3, Batch   3610, Loss  0.845627, Average Loss  0.870795, Time  0.170659
2021-09-11 05:43:40.634964 : Epoch  9, Batch    654, Loss  0.543172, Average Loss  0.545462, Time  0.234061
2021-09-11 05:43:41.778750 : Epoch  3, Batch   3611, Loss  0.873464, Average Loss  0.870637, Time  0.176091
2021-09-11 05:43:42.167965 : Epoch  9, Batch    655, Loss  0.538489, Average Loss  0.545432, Time  0.230752
2021-09-11 05:43:42.481783 : Epoch  2, Batch   1054, Loss  0.880772, Average Loss  0.869704, Time  0.242280
2021-09-11 05:43:43.396834 : Epoch  3, Batch   3612, Loss  0.886484, Average Loss  0.870706, Time  0.174086
2021-09-11 05:43:43.699392 : Epoch  9, Batch    656, Loss  0.534349, Average Loss  0.545347, Time  0.231329
2021-09-11 05:43:45.036028 : Epoch  3, Batch   3613, Loss  0.870834, Average Loss  0.870641, Time  0.170216
2021-09-11 05:43:45.230461 : Epoch  2, Batch   1055, Loss  0.871481, Average Loss  0.869592, Time  0.356988
2021-09-11 05:43:45.319336 : Epoch  9, Batch    657, Loss  0.535906, Average Loss  0.545325, Time  0.283309
2021-09-11 05:43:46.662772 : Epoch  3, Batch   3614, Loss  0.868145, Average Loss  0.870590, Time  0.176777
2021-09-11 05:43:46.859272 : Epoch  9, Batch    658, Loss  0.529899, Average Loss  0.545297, Time  0.230630
2021-09-11 05:43:47.919147 : Epoch  2, Batch   1056, Loss  0.853695, Average Loss  0.869559, Time  0.239346
2021-09-11 05:43:48.319022 : Epoch  3, Batch   3615, Loss  0.879695, Average Loss  0.870702, Time  0.174990
2021-09-11 05:43:48.388543 : Epoch  9, Batch    659, Loss  0.531576, Average Loss  0.545213, Time  0.230336
2021-09-11 05:43:49.925864 : Epoch  9, Batch    660, Loss  0.544641, Average Loss  0.545251, Time  0.231892
2021-09-11 05:43:49.931165 : Epoch  3, Batch   3616, Loss  0.883729, Average Loss  0.870803, Time  0.172306
2021-09-11 05:43:50.596550 : Epoch  2, Batch   1057, Loss  0.874624, Average Loss  0.869652, Time  0.269457
2021-09-11 05:43:51.448649 : Epoch  9, Batch    661, Loss  0.545009, Average Loss  0.545245, Time  0.231519
2021-09-11 05:43:51.575769 : Epoch  3, Batch   3617, Loss  0.872978, Average Loss  0.870911, Time  0.169686
2021-09-11 05:43:52.982358 : Epoch  9, Batch    662, Loss  0.551313, Average Loss  0.545318, Time  0.230677
2021-09-11 05:43:53.228804 : Epoch  3, Batch   3618, Loss  0.863310, Average Loss  0.870911, Time  0.185970
2021-09-11 05:43:53.289966 : Epoch  2, Batch   1058, Loss  0.869232, Average Loss  0.869566, Time  0.246982
2021-09-11 05:43:54.521260 : Epoch  9, Batch    663, Loss  0.553392, Average Loss  0.545324, Time  0.231332
2021-09-11 05:43:54.879041 : Epoch  3, Batch   3619, Loss  0.889882, Average Loss  0.871011, Time  0.175073
2021-09-11 05:43:56.045019 : Epoch  2, Batch   1059, Loss  0.859596, Average Loss  0.869468, Time  0.367229
2021-09-11 05:43:56.133348 : Epoch  9, Batch    664, Loss  0.542125, Average Loss  0.545176, Time  0.299379
2021-09-11 05:43:56.509750 : Epoch  3, Batch   3620, Loss  0.852683, Average Loss  0.871058, Time  0.178139
2021-09-11 05:43:57.682023 : Epoch  9, Batch    665, Loss  0.550669, Average Loss  0.545206, Time  0.230675
2021-09-11 05:43:58.145929 : Epoch  3, Batch   3621, Loss  0.890563, Average Loss  0.871116, Time  0.174920
2021-09-11 05:43:58.645462 : Epoch  2, Batch   1060, Loss  0.885030, Average Loss  0.869472, Time  0.244272
2021-09-11 05:43:59.219182 : Epoch  9, Batch    666, Loss  0.546676, Average Loss  0.545203, Time  0.230846
2021-09-11 05:43:59.833789 : Epoch  3, Batch   3622, Loss  0.881349, Average Loss  0.871167, Time  0.170947
2021-09-11 05:44:00.762357 : Epoch  9, Batch    667, Loss  0.529888, Average Loss  0.545121, Time  0.232857
2021-09-11 05:44:01.301048 : Epoch  2, Batch   1061, Loss  0.892480, Average Loss  0.869647, Time  0.244133
2021-09-11 05:44:01.442762 : Epoch  3, Batch   3623, Loss  0.865853, Average Loss  0.871283, Time  0.173654
2021-09-11 05:44:02.300826 : Epoch  9, Batch    668, Loss  0.538958, Average Loss  0.545075, Time  0.233058
2021-09-11 05:44:03.052821 : Epoch  3, Batch   3624, Loss  0.857149, Average Loss  0.871082, Time  0.171676
2021-09-11 05:44:04.003955 : Epoch  9, Batch    669, Loss  0.537618, Average Loss  0.545083, Time  0.382787
2021-09-11 05:44:04.076175 : Epoch  2, Batch   1062, Loss  0.867948, Average Loss  0.869706, Time  0.325487
2021-09-11 05:44:04.677759 : Epoch  3, Batch   3625, Loss  0.875459, Average Loss  0.871214, Time  0.169802
2021-09-11 05:44:05.579387 : Epoch  9, Batch    670, Loss  0.557401, Average Loss  0.545105, Time  0.235999
2021-09-11 05:44:06.290753 : Epoch  3, Batch   3626, Loss  0.844829, Average Loss  0.871081, Time  0.172707
2021-09-11 05:44:06.766243 : Epoch  2, Batch   1063, Loss  0.862514, Average Loss  0.869677, Time  0.249140
2021-09-11 05:44:07.171973 : Epoch  9, Batch    671, Loss  0.548766, Average Loss  0.545110, Time  0.246121
2021-09-11 05:44:07.921780 : Epoch  3, Batch   3627, Loss  0.888322, Average Loss  0.871293, Time  0.175271
2021-09-11 05:44:08.749358 : Epoch  9, Batch    672, Loss  0.538363, Average Loss  0.544977, Time  0.231863
2021-09-11 05:44:09.431146 : Epoch  2, Batch   1064, Loss  0.870592, Average Loss  0.869722, Time  0.238552
2021-09-11 05:44:09.551792 : Epoch  3, Batch   3628, Loss  0.880089, Average Loss  0.871310, Time  0.170012
2021-09-11 05:44:10.300014 : Epoch  9, Batch    673, Loss  0.549559, Average Loss  0.545051, Time  0.230844
2021-09-11 05:44:11.185887 : Epoch  3, Batch   3629, Loss  0.885926, Average Loss  0.871434, Time  0.170972
2021-09-11 05:44:11.845997 : Epoch  9, Batch    674, Loss  0.550882, Average Loss  0.544995, Time  0.230993
2021-09-11 05:44:12.077030 : Epoch  2, Batch   1065, Loss  0.877687, Average Loss  0.869847, Time  0.246065
2021-09-11 05:44:12.849748 : Epoch  3, Batch   3630, Loss  0.869091, Average Loss  0.871322, Time  0.173177
2021-09-11 05:44:14.480027 : Epoch  3, Batch   3631, Loss  0.869607, Average Loss  0.871308, Time  0.169921
2021-09-11 05:44:14.717093 : Epoch  2, Batch   1066, Loss  0.871543, Average Loss  0.869812, Time  0.247469
2021-09-11 05:44:16.112891 : Epoch  3, Batch   3632, Loss  0.894669, Average Loss  0.871435, Time  0.170893
2021-09-11 05:44:17.431876 : Epoch  9, Batch    675, Loss  0.533680, Average Loss  0.544938, Time  0.430068
2021-09-11 05:44:17.478445 : Epoch  2, Batch   1067, Loss  0.877032, Average Loss  0.869807, Time  0.355515
2021-09-11 05:44:17.733031 : Epoch  3, Batch   3633, Loss  0.860193, Average Loss  0.871267, Time  0.175961
2021-09-11 05:44:19.107010 : Epoch  9, Batch    676, Loss  0.550831, Average Loss  0.544966, Time  0.261106
2021-09-11 05:44:19.337033 : Epoch  3, Batch   3634, Loss  0.875234, Average Loss  0.871434, Time  0.180627
2021-09-11 05:44:20.092351 : Epoch  2, Batch   1068, Loss  0.855449, Average Loss  0.869617, Time  0.246961
2021-09-11 05:44:20.785884 : Epoch  9, Batch    677, Loss  0.537861, Average Loss  0.544911, Time  0.253229
2021-09-11 05:44:20.965054 : Epoch  3, Batch   3635, Loss  0.851411, Average Loss  0.871202, Time  0.174505
2021-09-11 05:44:22.513504 : Epoch  9, Batch    678, Loss  0.554986, Average Loss  0.545002, Time  0.257087
2021-09-11 05:44:22.597923 : Epoch  3, Batch   3636, Loss  0.852625, Average Loss  0.871153, Time  0.173855
2021-09-11 05:44:22.743229 : Epoch  2, Batch   1069, Loss  0.859168, Average Loss  0.869519, Time  0.270370
2021-09-11 05:44:24.115120 : Epoch  9, Batch    679, Loss  0.536167, Average Loss  0.544889, Time  0.241383
2021-09-11 05:44:24.271771 : Epoch  3, Batch   3637, Loss  0.870133, Average Loss  0.871181, Time  0.171954
2021-09-11 05:44:25.468072 : Epoch  2, Batch   1070, Loss  0.865528, Average Loss  0.869413, Time  0.257173
2021-09-11 05:44:25.671817 : Epoch  9, Batch    680, Loss  0.553931, Average Loss  0.544875, Time  0.242820
2021-09-11 05:44:25.901032 : Epoch  3, Batch   3638, Loss  0.864497, Average Loss  0.871140, Time  0.170724
2021-09-11 05:44:27.216138 : Epoch  9, Batch    681, Loss  0.541323, Average Loss  0.544796, Time  0.231051
2021-09-11 05:44:27.547754 : Epoch  3, Batch   3639, Loss  0.841926, Average Loss  0.871009, Time  0.175380
2021-09-11 05:44:28.095132 : Epoch  2, Batch   1071, Loss  0.877971, Average Loss  0.869491, Time  0.242159
2021-09-11 05:44:28.913553 : Epoch  9, Batch    682, Loss  0.555046, Average Loss  0.544838, Time  0.247366
2021-09-11 05:44:29.174030 : Epoch  3, Batch   3640, Loss  0.852201, Average Loss  0.870885, Time  0.176171
2021-09-11 05:44:30.509401 : Epoch  9, Batch    683, Loss  0.533796, Average Loss  0.544691, Time  0.247074
2021-09-11 05:44:30.754757 : Epoch  2, Batch   1072, Loss  0.863890, Average Loss  0.869407, Time  0.245752
2021-09-11 05:44:30.837816 : Epoch  3, Batch   3641, Loss  0.902505, Average Loss  0.871109, Time  0.173194
2021-09-11 05:44:32.061129 : Epoch  9, Batch    684, Loss  0.549850, Average Loss  0.544693, Time  0.231328
2021-09-11 05:44:32.473757 : Epoch  3, Batch   3642, Loss  0.871459, Average Loss  0.871170, Time  0.169709
2021-09-11 05:44:33.393870 : Epoch  2, Batch   1073, Loss  0.846402, Average Loss  0.869305, Time  0.244188
2021-09-11 05:44:33.718051 : Epoch  9, Batch    685, Loss  0.533797, Average Loss  0.544624, Time  0.256892
2021-09-11 05:44:34.105813 : Epoch  3, Batch   3643, Loss  0.873160, Average Loss  0.871129, Time  0.180202
2021-09-11 05:44:35.417249 : Epoch  9, Batch    686, Loss  0.533595, Average Loss  0.544632, Time  0.255323
2021-09-11 05:44:35.783804 : Epoch  3, Batch   3644, Loss  0.867080, Average Loss  0.871130, Time  0.169946
2021-09-11 05:44:36.009879 : Epoch  2, Batch   1074, Loss  0.881652, Average Loss  0.869312, Time  0.241281
2021-09-11 05:44:36.969747 : Epoch  9, Batch    687, Loss  0.550467, Average Loss  0.544694, Time  0.232296
2021-09-11 05:44:37.415812 : Epoch  3, Batch   3645, Loss  0.864727, Average Loss  0.871222, Time  0.172660
2021-09-11 05:44:38.728287 : Epoch  9, Batch    688, Loss  0.535113, Average Loss  0.544685, Time  0.434200
2021-09-11 05:44:38.780326 : Epoch  2, Batch   1075, Loss  0.885962, Average Loss  0.869330, Time  0.374631
2021-09-11 05:44:39.037022 : Epoch  3, Batch   3646, Loss  0.881120, Average Loss  0.871271, Time  0.169948
2021-09-11 05:44:40.320447 : Epoch  9, Batch    689, Loss  0.528997, Average Loss  0.544616, Time  0.236722
2021-09-11 05:44:40.646300 : Epoch  3, Batch   3647, Loss  0.840136, Average Loss  0.871148, Time  0.169896
2021-09-11 05:44:41.409816 : Epoch  2, Batch   1076, Loss  0.856210, Average Loss  0.869253, Time  0.259600
2021-09-11 05:44:41.937015 : Epoch  9, Batch    690, Loss  0.543522, Average Loss  0.544600, Time  0.232464
2021-09-11 05:44:42.255036 : Epoch  3, Batch   3648, Loss  0.860019, Average Loss  0.871094, Time  0.170501
2021-09-11 05:44:43.495756 : Epoch  9, Batch    691, Loss  0.546624, Average Loss  0.544619, Time  0.232141
2021-09-11 05:44:43.887038 : Epoch  3, Batch   3649, Loss  0.869749, Average Loss  0.871099, Time  0.174595
2021-09-11 05:44:44.104353 : Epoch  2, Batch   1077, Loss  0.856768, Average Loss  0.869212, Time  0.260799
2021-09-11 05:44:45.052198 : Epoch  9, Batch    692, Loss  0.543112, Average Loss  0.544594, Time  0.242679
2021-09-11 05:44:45.517038 : Epoch  3, Batch   3650, Loss  0.866920, Average Loss  0.871161, Time  0.169855
2021-09-11 05:44:46.756165 : Epoch  9, Batch    693, Loss  0.538655, Average Loss  0.544581, Time  0.361747
2021-09-11 05:44:46.847027 : Epoch  2, Batch   1078, Loss  0.863930, Average Loss  0.869152, Time  0.307029
2021-09-11 05:44:47.151942 : Epoch  3, Batch   3651, Loss  0.881494, Average Loss  0.871120, Time  0.189249
2021-09-11 05:44:48.307570 : Epoch  9, Batch    694, Loss  0.543087, Average Loss  0.544507, Time  0.231683
2021-09-11 05:44:48.813374 : Epoch  3, Batch   3652, Loss  0.884646, Average Loss  0.871241, Time  0.169931
2021-09-11 05:44:49.516806 : Epoch  2, Batch   1079, Loss  0.847515, Average Loss  0.869131, Time  0.241874
2021-09-11 05:44:49.859416 : Epoch  9, Batch    695, Loss  0.527633, Average Loss  0.544423, Time  0.231080
2021-09-11 05:44:50.432773 : Epoch  3, Batch   3653, Loss  0.887619, Average Loss  0.871394, Time  0.169684
2021-09-11 05:44:51.413842 : Epoch  9, Batch    696, Loss  0.544497, Average Loss  0.544456, Time  0.238881
2021-09-11 05:44:52.058776 : Epoch  3, Batch   3654, Loss  0.853295, Average Loss  0.871392, Time  0.170340
2021-09-11 05:44:52.136819 : Epoch  2, Batch   1080, Loss  0.883556, Average Loss  0.869206, Time  0.241149
2021-09-11 05:44:52.964056 : Epoch  9, Batch    697, Loss  0.560064, Average Loss  0.544567, Time  0.234326
2021-09-11 05:44:53.705090 : Epoch  3, Batch   3655, Loss  0.879613, Average Loss  0.871431, Time  0.172592
2021-09-11 05:44:54.491900 : Epoch  9, Batch    698, Loss  0.542650, Average Loss  0.544555, Time  0.232602
2021-09-11 05:44:54.858047 : Epoch  2, Batch   1081, Loss  0.856620, Average Loss  0.869099, Time  0.254146
2021-09-11 05:44:55.352033 : Epoch  3, Batch   3656, Loss  0.886149, Average Loss  0.871567, Time  0.169745
2021-09-11 05:44:56.052368 : Epoch  9, Batch    699, Loss  0.539674, Average Loss  0.544612, Time  0.236838
2021-09-11 05:44:56.992035 : Epoch  3, Batch   3657, Loss  0.865776, Average Loss  0.871488, Time  0.174776
2021-09-11 05:44:57.664937 : Epoch  2, Batch   1082, Loss  0.878982, Average Loss  0.869235, Time  0.400539
2021-09-11 05:44:57.719416 : Epoch  9, Batch    700, Loss  0.551593, Average Loss  0.544630, Time  0.334603
2021-09-11 05:44:58.646738 : Epoch  3, Batch   3658, Loss  0.885034, Average Loss  0.871629, Time  0.169967
2021-09-11 05:44:59.265442 : Epoch  9, Batch    701, Loss  0.554996, Average Loss  0.544744, Time  0.233234
2021-09-11 05:45:00.290033 : Epoch  3, Batch   3659, Loss  0.826604, Average Loss  0.871398, Time  0.179659
2021-09-11 05:45:00.348299 : Epoch  2, Batch   1083, Loss  0.861100, Average Loss  0.869140, Time  0.240995
2021-09-11 05:45:00.810400 : Epoch  9, Batch    702, Loss  0.535487, Average Loss  0.544678, Time  0.232741
2021-09-11 05:45:01.884032 : Epoch  3, Batch   3660, Loss  0.862887, Average Loss  0.871280, Time  0.170591
2021-09-11 05:45:02.365023 : Epoch  9, Batch    703, Loss  0.532156, Average Loss  0.544582, Time  0.230892
2021-09-11 05:45:02.992100 : Epoch  2, Batch   1084, Loss  0.870811, Average Loss  0.869183, Time  0.241612
2021-09-11 05:45:03.506034 : Epoch  3, Batch   3661, Loss  0.866324, Average Loss  0.871256, Time  0.170890
2021-09-11 05:45:05.147055 : Epoch  3, Batch   3662, Loss  0.886294, Average Loss  0.871359, Time  0.169354
2021-09-11 05:45:05.666830 : Epoch  2, Batch   1085, Loss  0.853728, Average Loss  0.869131, Time  0.244790
2021-09-11 05:45:06.783031 : Epoch  3, Batch   3663, Loss  0.863938, Average Loss  0.871329, Time  0.177451
2021-09-11 05:45:07.539067 : Epoch  9, Batch    704, Loss  0.555524, Average Loss  0.544594, Time  0.235726
2021-09-11 05:45:08.293098 : Epoch  2, Batch   1086, Loss  0.848878, Average Loss  0.869141, Time  0.240197
2021-09-11 05:45:08.418794 : Epoch  3, Batch   3664, Loss  0.868718, Average Loss  0.871334, Time  0.170043
2021-09-11 05:45:10.059025 : Epoch  3, Batch   3665, Loss  0.847821, Average Loss  0.871220, Time  0.172578
2021-09-11 05:45:11.003862 : Epoch  2, Batch   1087, Loss  0.868055, Average Loss  0.869163, Time  0.260187
2021-09-11 05:45:11.673038 : Epoch  3, Batch   3666, Loss  0.846995, Average Loss  0.871044, Time  0.170280
2021-09-11 05:45:13.293035 : Epoch  3, Batch   3667, Loss  0.847785, Average Loss  0.870938, Time  0.170977
2021-09-11 05:45:13.714963 : Epoch  2, Batch   1088, Loss  0.887472, Average Loss  0.869167, Time  0.262089
2021-09-11 05:45:14.925806 : Epoch  3, Batch   3668, Loss  0.895114, Average Loss  0.871097, Time  0.176771
2021-09-11 05:45:16.452041 : Epoch  2, Batch   1089, Loss  0.876510, Average Loss  0.869266, Time  0.265527
2021-09-11 05:45:16.570818 : Epoch  3, Batch   3669, Loss  0.871795, Average Loss  0.871149, Time  0.170520
2021-09-11 05:45:18.211774 : Epoch  3, Batch   3670, Loss  0.872258, Average Loss  0.871146, Time  0.176109
2021-09-11 05:45:19.154997 : Epoch  2, Batch   1090, Loss  0.863681, Average Loss  0.869350, Time  0.262262
2021-09-11 05:45:19.844745 : Epoch  3, Batch   3671, Loss  0.858510, Average Loss  0.871177, Time  0.170300
2021-09-11 05:45:21.469460 : Epoch  3, Batch   3672, Loss  0.847617, Average Loss  0.871186, Time  0.178971
2021-09-11 05:45:21.860759 : Epoch  2, Batch   1091, Loss  0.884803, Average Loss  0.869414, Time  0.239175
2021-09-11 05:45:23.075848 : Epoch  3, Batch   3673, Loss  0.845893, Average Loss  0.871124, Time  0.170536
2021-09-11 05:45:24.555185 : Epoch  2, Batch   1092, Loss  0.885416, Average Loss  0.869549, Time  0.265874
2021-09-11 05:45:24.717825 : Epoch  3, Batch   3674, Loss  0.914072, Average Loss  0.871363, Time  0.181766
2021-09-11 05:45:26.327767 : Epoch  3, Batch   3675, Loss  0.843711, Average Loss  0.871305, Time  0.170407
2021-09-11 05:45:27.193942 : Epoch  2, Batch   1093, Loss  0.872838, Average Loss  0.869507, Time  0.243244
2021-09-11 05:45:27.952752 : Epoch  3, Batch   3676, Loss  0.903268, Average Loss  0.871429, Time  0.174982
2021-09-11 05:45:29.581033 : Epoch  3, Batch   3677, Loss  0.867773, Average Loss  0.871427, Time  0.170049
2021-09-11 05:45:29.810905 : Epoch  2, Batch   1094, Loss  0.866562, Average Loss  0.869524, Time  0.242712
2021-09-11 05:45:31.199040 : Epoch  3, Batch   3678, Loss  0.847915, Average Loss  0.871424, Time  0.170842
2021-09-11 05:45:32.436358 : Epoch  2, Batch   1095, Loss  0.880991, Average Loss  0.869603, Time  0.242805
2021-09-11 05:45:35.062023 : Epoch  2, Batch   1096, Loss  0.855994, Average Loss  0.869478, Time  0.244862
2021-09-11 05:45:37.664732 : Epoch  2, Batch   1097, Loss  0.876884, Average Loss  0.869567, Time  0.240861
2021-09-11 05:45:40.301328 : Epoch  2, Batch   1098, Loss  0.860870, Average Loss  0.869606, Time  0.257205
2021-09-11 05:45:42.945408 : Epoch  2, Batch   1099, Loss  0.872656, Average Loss  0.869550, Time  0.242016
2021-09-11 05:45:45.571424 : Epoch  2, Batch   1100, Loss  0.880478, Average Loss  0.869680, Time  0.244656
2021-09-11 05:45:48.209970 : Epoch  2, Batch   1101, Loss  0.891412, Average Loss  0.869706, Time  0.259712
2021-09-11 05:45:50.931175 : Epoch  2, Batch   1102, Loss  0.863078, Average Loss  0.869685, Time  0.264311
2021-09-11 05:45:53.650125 : Epoch  2, Batch   1103, Loss  0.862042, Average Loss  0.869626, Time  0.264187
2021-09-11 05:45:56.368828 : Epoch  2, Batch   1104, Loss  0.873038, Average Loss  0.869626, Time  0.262582
2021-09-11 05:45:59.074133 : Epoch  2, Batch   1105, Loss  0.871598, Average Loss  0.869672, Time  0.246529
2021-09-11 05:46:01.791167 : Epoch  2, Batch   1106, Loss  0.876205, Average Loss  0.869585, Time  0.262170
2021-09-11 05:46:04.412365 : Epoch  2, Batch   1107, Loss  0.865067, Average Loss  0.869541, Time  0.244592
2021-09-11 05:46:05.244861 : CheckPoint: Validation Loss  0.00023008, Best Loss  0.00021921
2021-09-11 05:46:06.791014 : Epoch  9, Batch    705, Loss  0.554563, Average Loss  0.544585, Time  0.240905
2021-09-11 05:46:07.029823 : Epoch  2, Batch   1108, Loss  0.859916, Average Loss  0.869481, Time  0.244752
2021-09-11 05:46:08.344641 : Epoch  9, Batch    706, Loss  0.546260, Average Loss  0.544537, Time  0.232931
2021-09-11 05:46:09.635071 : Epoch  2, Batch   1109, Loss  0.868450, Average Loss  0.869583, Time  0.244323
2021-09-11 05:46:09.895174 : Epoch  9, Batch    707, Loss  0.538108, Average Loss  0.544537, Time  0.232391
2021-09-11 05:46:11.461043 : Epoch  9, Batch    708, Loss  0.546575, Average Loss  0.544505, Time  0.233756
2021-09-11 05:46:12.232784 : Epoch  2, Batch   1110, Loss  0.874944, Average Loss  0.869599, Time  0.241027
2021-09-11 05:46:13.043196 : Epoch  9, Batch    709, Loss  0.543681, Average Loss  0.544539, Time  0.239272
2021-09-11 05:46:14.593727 : Epoch  9, Batch    710, Loss  0.558455, Average Loss  0.544666, Time  0.232720
2021-09-11 05:46:14.857751 : Epoch  2, Batch   1111, Loss  0.884220, Average Loss  0.869686, Time  0.242680
2021-09-11 05:46:16.150311 : Epoch  9, Batch    711, Loss  0.550267, Average Loss  0.544720, Time  0.232165
2021-09-11 05:46:17.464332 : Epoch  2, Batch   1112, Loss  0.847725, Average Loss  0.869581, Time  0.241264
2021-09-11 05:46:17.704975 : Epoch  9, Batch    712, Loss  0.546734, Average Loss  0.544705, Time  0.236623
2021-09-11 05:46:19.283952 : Epoch  9, Batch    713, Loss  0.534402, Average Loss  0.544649, Time  0.234466
2021-09-11 05:46:20.087852 : Epoch  2, Batch   1113, Loss  0.878335, Average Loss  0.869616, Time  0.241862
2021-09-11 05:46:20.835409 : Epoch  9, Batch    714, Loss  0.543145, Average Loss  0.544573, Time  0.232504
2021-09-11 05:46:22.375512 : Epoch  9, Batch    715, Loss  0.555536, Average Loss  0.544703, Time  0.231893
2021-09-11 05:46:22.718432 : Epoch  2, Batch   1114, Loss  0.865452, Average Loss  0.869663, Time  0.242300
2021-09-11 05:46:23.912692 : Epoch  9, Batch    716, Loss  0.534398, Average Loss  0.544594, Time  0.234168
2021-09-11 05:46:25.509506 : Epoch  2, Batch   1115, Loss  0.885599, Average Loss  0.869724, Time  0.398285
2021-09-11 05:46:25.566962 : Epoch  9, Batch    717, Loss  0.535807, Average Loss  0.544547, Time  0.330594
2021-09-11 05:46:27.155453 : Epoch  9, Batch    718, Loss  0.552927, Average Loss  0.544580, Time  0.233576
2021-09-11 05:46:28.132862 : Epoch  2, Batch   1116, Loss  0.872297, Average Loss  0.869714, Time  0.242409
2021-09-11 05:46:28.732873 : Epoch  9, Batch    719, Loss  0.544726, Average Loss  0.544591, Time  0.233643
2021-09-11 05:46:30.302901 : Epoch  9, Batch    720, Loss  0.541942, Average Loss  0.544597, Time  0.235276
2021-09-11 05:46:30.743801 : Epoch  2, Batch   1117, Loss  0.871821, Average Loss  0.869765, Time  0.240691
2021-09-11 05:46:31.837956 : Epoch  9, Batch    721, Loss  0.547412, Average Loss  0.544582, Time  0.234017
2021-09-11 05:46:33.624202 : Epoch  9, Batch    722, Loss  0.555607, Average Loss  0.544643, Time  0.459446
2021-09-11 05:46:33.668925 : Epoch  2, Batch   1118, Loss  0.871729, Average Loss  0.869648, Time  0.451355
2021-09-11 05:46:35.193982 : Epoch  9, Batch    723, Loss  0.534739, Average Loss  0.544602, Time  0.238468
2021-09-11 05:46:36.256322 : Epoch  2, Batch   1119, Loss  0.865040, Average Loss  0.869548, Time  0.241326
2021-09-11 05:46:36.737753 : Epoch  9, Batch    724, Loss  0.548931, Average Loss  0.544589, Time  0.236390
2021-09-11 05:46:38.271498 : Epoch  9, Batch    725, Loss  0.553412, Average Loss  0.544535, Time  0.234884
2021-09-11 05:46:38.885839 : Epoch  2, Batch   1120, Loss  0.879146, Average Loss  0.869633, Time  0.241203
2021-09-11 05:46:39.835407 : Epoch  9, Batch    726, Loss  0.537687, Average Loss  0.544548, Time  0.239103
2021-09-11 05:46:41.460848 : Epoch  9, Batch    727, Loss  0.537722, Average Loss  0.544503, Time  0.320544
2021-09-11 05:46:41.615376 : Epoch  2, Batch   1121, Loss  0.868315, Average Loss  0.869673, Time  0.293054
2021-09-11 05:46:42.994101 : Epoch  9, Batch    728, Loss  0.571794, Average Loss  0.544604, Time  0.232805
2021-09-11 05:46:44.319024 : Epoch  2, Batch   1122, Loss  0.874285, Average Loss  0.869615, Time  0.261086
2021-09-11 05:46:44.532907 : Epoch  9, Batch    729, Loss  0.531849, Average Loss  0.544527, Time  0.234329
2021-09-11 05:46:46.071947 : Epoch  9, Batch    730, Loss  0.524713, Average Loss  0.544379, Time  0.234257
2021-09-11 05:46:46.922063 : Epoch  2, Batch   1123, Loss  0.866268, Average Loss  0.869745, Time  0.242319
2021-09-11 05:46:47.632965 : Epoch  9, Batch    731, Loss  0.541191, Average Loss  0.544361, Time  0.231996
2021-09-11 05:46:49.179988 : Epoch  9, Batch    732, Loss  0.525448, Average Loss  0.544216, Time  0.235202
2021-09-11 05:46:49.581783 : Epoch  2, Batch   1124, Loss  0.847146, Average Loss  0.869684, Time  0.242219
2021-09-11 05:46:50.713860 : Epoch  9, Batch    733, Loss  0.541398, Average Loss  0.544161, Time  0.234674
2021-09-11 05:46:52.460960 : Epoch  2, Batch   1125, Loss  0.865007, Average Loss  0.869650, Time  0.455052
2021-09-11 05:46:52.509509 : Epoch  9, Batch    734, Loss  0.557157, Average Loss  0.544263, Time  0.438458
2021-09-11 05:46:54.038575 : Epoch  9, Batch    735, Loss  0.545687, Average Loss  0.544284, Time  0.237211
2021-09-11 05:46:55.076931 : Epoch  2, Batch   1126, Loss  0.862257, Average Loss  0.869617, Time  0.243798
2021-09-11 05:46:55.615658 : Epoch  9, Batch    736, Loss  0.543396, Average Loss  0.544292, Time  0.238382
2021-09-11 05:46:57.180268 : Epoch  9, Batch    737, Loss  0.550515, Average Loss  0.544383, Time  0.248811
2021-09-11 05:46:57.678309 : Epoch  2, Batch   1127, Loss  0.881598, Average Loss  0.869642, Time  0.238743
2021-09-11 05:46:58.738816 : Epoch  9, Batch    738, Loss  0.547821, Average Loss  0.544391, Time  0.243830
2021-09-11 05:47:00.510809 : Epoch  2, Batch   1128, Loss  0.869717, Average Loss  0.869665, Time  0.458975
2021-09-11 05:47:00.555643 : Epoch  9, Batch    739, Loss  0.546127, Average Loss  0.544304, Time  0.458242
2021-09-11 05:47:02.090413 : Epoch  9, Batch    740, Loss  0.559441, Average Loss  0.544396, Time  0.236795
2021-09-11 05:47:03.111281 : Epoch  2, Batch   1129, Loss  0.900404, Average Loss  0.869798, Time  0.238670
2021-09-11 05:47:03.694001 : Epoch  9, Batch    741, Loss  0.541017, Average Loss  0.544346, Time  0.260556
2021-09-11 05:47:05.425975 : Epoch  9, Batch    742, Loss  0.542457, Average Loss  0.544349, Time  0.259469
2021-09-11 05:47:05.723782 : Epoch  2, Batch   1130, Loss  0.847628, Average Loss  0.869660, Time  0.241914
2021-09-11 05:47:07.116251 : Epoch  9, Batch    743, Loss  0.542823, Average Loss  0.544404, Time  0.234481
2021-09-11 05:47:08.349373 : Epoch  2, Batch   1131, Loss  0.865751, Average Loss  0.869582, Time  0.242911
2021-09-11 05:47:08.690157 : Epoch  9, Batch    744, Loss  0.548105, Average Loss  0.544350, Time  0.242490
2021-09-11 05:47:10.276330 : Epoch  9, Batch    745, Loss  0.557514, Average Loss  0.544443, Time  0.234455
2021-09-11 05:47:10.958806 : Epoch  2, Batch   1132, Loss  0.863844, Average Loss  0.869655, Time  0.240293
2021-09-11 05:47:11.859837 : Epoch  9, Batch    746, Loss  0.527303, Average Loss  0.544397, Time  0.233883
2021-09-11 05:47:13.533148 : Epoch  9, Batch    747, Loss  0.543591, Average Loss  0.544357, Time  0.326727
2021-09-11 05:47:13.659107 : Epoch  2, Batch   1133, Loss  0.864106, Average Loss  0.869721, Time  0.272702
2021-09-11 05:47:15.113473 : Epoch  9, Batch    748, Loss  0.536635, Average Loss  0.544315, Time  0.232694
2021-09-11 05:47:16.329207 : Epoch  2, Batch   1134, Loss  0.859526, Average Loss  0.869702, Time  0.245511
2021-09-11 05:47:16.695142 : Epoch  9, Batch    749, Loss  0.546524, Average Loss  0.544324, Time  0.233622
2021-09-11 05:47:18.304795 : Epoch  9, Batch    750, Loss  0.547365, Average Loss  0.544324, Time  0.237459
2021-09-11 05:47:19.016064 : Epoch  2, Batch   1135, Loss  0.885040, Average Loss  0.869699, Time  0.248702
2021-09-11 05:47:19.885948 : Epoch  9, Batch    751, Loss  0.539328, Average Loss  0.544282, Time  0.235223
2021-09-11 05:47:21.465233 : Epoch  9, Batch    752, Loss  0.549444, Average Loss  0.544299, Time  0.233309
2021-09-11 05:47:21.675417 : Epoch  2, Batch   1136, Loss  0.865218, Average Loss  0.869702, Time  0.244676
2021-09-11 05:47:23.048911 : Epoch  9, Batch    753, Loss  0.537963, Average Loss  0.544267, Time  0.232885
2021-09-11 05:47:24.326903 : Epoch  2, Batch   1137, Loss  0.884410, Average Loss  0.869771, Time  0.238450
2021-09-11 05:47:24.617857 : Epoch  9, Batch    754, Loss  0.545782, Average Loss  0.544246, Time  0.236133
2021-09-11 05:47:26.192032 : Epoch  9, Batch    755, Loss  0.532948, Average Loss  0.544220, Time  0.243160
2021-09-11 05:47:27.037565 : Epoch  2, Batch   1138, Loss  0.857402, Average Loss  0.869675, Time  0.262958
2021-09-11 05:47:27.757102 : Epoch  9, Batch    756, Loss  0.556945, Average Loss  0.544369, Time  0.232700
2021-09-11 05:47:29.317169 : Epoch  9, Batch    757, Loss  0.558048, Average Loss  0.544472, Time  0.231616
2021-09-11 05:47:29.667988 : Epoch  2, Batch   1139, Loss  0.864036, Average Loss  0.869629, Time  0.245080
2021-09-11 05:47:30.848037 : Epoch  9, Batch    758, Loss  0.533847, Average Loss  0.544420, Time  0.231528
2021-09-11 05:47:32.515997 : Epoch  2, Batch   1140, Loss  0.868852, Average Loss  0.869642, Time  0.443728
2021-09-11 05:47:32.572946 : Epoch  9, Batch    759, Loss  0.543354, Average Loss  0.544424, Time  0.375729
2021-09-11 05:47:34.091367 : Epoch  9, Batch    760, Loss  0.539199, Average Loss  0.544453, Time  0.230559
2021-09-11 05:47:35.160131 : Epoch  2, Batch   1141, Loss  0.862342, Average Loss  0.869715, Time  0.243858
2021-09-11 05:47:35.625831 : Epoch  9, Batch    761, Loss  0.536871, Average Loss  0.544426, Time  0.235402
2021-09-11 05:47:37.188993 : Epoch  9, Batch    762, Loss  0.544629, Average Loss  0.544440, Time  0.234522
2021-09-11 05:47:37.815800 : Epoch  2, Batch   1142, Loss  0.877376, Average Loss  0.869720, Time  0.239183
2021-09-11 05:47:38.770266 : Epoch  9, Batch    763, Loss  0.531795, Average Loss  0.544442, Time  0.232669
2021-09-11 05:47:40.448375 : Epoch  9, Batch    764, Loss  0.540354, Average Loss  0.544356, Time  0.347822
2021-09-11 05:47:40.555814 : Epoch  2, Batch   1143, Loss  0.880491, Average Loss  0.869736, Time  0.295029
2021-09-11 05:47:42.005900 : Epoch  9, Batch    765, Loss  0.557601, Average Loss  0.544422, Time  0.231555
2021-09-11 05:47:43.545472 : Epoch  9, Batch    766, Loss  0.539541, Average Loss  0.544333, Time  0.231136
2021-09-11 05:47:45.100927 : Epoch  9, Batch    767, Loss  0.536046, Average Loss  0.544293, Time  0.232630
2021-09-11 05:47:46.678932 : Epoch  9, Batch    768, Loss  0.559167, Average Loss  0.544328, Time  0.238700
2021-09-11 05:47:48.244099 : Epoch  9, Batch    769, Loss  0.526965, Average Loss  0.544222, Time  0.238522
2021-09-11 05:47:49.820321 : Epoch  9, Batch    770, Loss  0.539492, Average Loss  0.544117, Time  0.238091
2021-09-11 05:47:51.382946 : Epoch  9, Batch    771, Loss  0.538335, Average Loss  0.544156, Time  0.233962
2021-09-11 05:47:52.979776 : Epoch  9, Batch    772, Loss  0.557878, Average Loss  0.544246, Time  0.239878
2021-09-11 05:47:53.630097 : Epoch  2, Batch   1144, Loss  0.890448, Average Loss  0.869830, Time  0.246290
2021-09-11 05:47:54.564614 : Epoch  9, Batch    773, Loss  0.554153, Average Loss  0.544281, Time  0.234982
2021-09-11 05:47:56.139026 : Epoch  9, Batch    774, Loss  0.532090, Average Loss  0.544209, Time  0.240927
2021-09-11 05:48:01.142503 : Epoch  9, Batch    775, Loss  0.544952, Average Loss  0.544235, Time  0.276915
2021-09-11 05:48:02.702054 : Epoch  9, Batch    776, Loss  0.547645, Average Loss  0.544241, Time  0.242650
2021-09-11 05:48:04.252210 : Epoch  9, Batch    777, Loss  0.549336, Average Loss  0.544304, Time  0.236653
2021-09-11 05:48:05.797977 : Epoch  9, Batch    778, Loss  0.552122, Average Loss  0.544265, Time  0.234295
2021-09-11 05:48:07.352010 : Epoch  9, Batch    779, Loss  0.561894, Average Loss  0.544335, Time  0.236382
2021-09-11 05:48:08.928946 : Epoch  9, Batch    780, Loss  0.554531, Average Loss  0.544430, Time  0.233770
2021-09-11 05:48:10.514578 : Epoch  9, Batch    781, Loss  0.539218, Average Loss  0.544406, Time  0.236057
2021-09-11 05:48:12.081744 : Epoch  9, Batch    782, Loss  0.545656, Average Loss  0.544372, Time  0.240714
2021-09-11 05:48:13.658729 : Epoch  9, Batch    783, Loss  0.548507, Average Loss  0.544417, Time  0.232788
2021-09-11 05:48:15.188923 : Epoch  9, Batch    784, Loss  0.530211, Average Loss  0.544384, Time  0.235698
2021-09-11 05:48:16.810223 : Epoch  9, Batch    785, Loss  0.530828, Average Loss  0.544289, Time  0.313784
2021-09-11 05:48:18.350900 : Epoch  9, Batch    786, Loss  0.550072, Average Loss  0.544336, Time  0.236338
2021-09-11 05:48:19.901393 : Epoch  9, Batch    787, Loss  0.561581, Average Loss  0.544421, Time  0.236600
2021-09-11 05:48:19.947585 : Saving Model after 9-th Epoch.
2021-09-11 05:48:21.042625 : Epoch Finished.
2021-09-11 05:48:24.685655 : Batch Shuffled
2021-09-11 05:48:26.247808 : Epoch 10, Batch      1, Loss  0.537273, Average Loss  0.544343, Time  0.235407
2021-09-11 05:48:27.793396 : Epoch 10, Batch      2, Loss  0.561901, Average Loss  0.544456, Time  0.232806
2021-09-11 05:48:29.346977 : Epoch 10, Batch      3, Loss  0.538439, Average Loss  0.544399, Time  0.236104
2021-09-11 05:48:30.893211 : Epoch 10, Batch      4, Loss  0.545827, Average Loss  0.544410, Time  0.235281
2021-09-11 05:48:32.435862 : Epoch 10, Batch      5, Loss  0.548444, Average Loss  0.544421, Time  0.236662
2021-09-11 05:48:34.100909 : Epoch 10, Batch      6, Loss  0.529423, Average Loss  0.544317, Time  0.318858
2021-09-11 05:48:35.669858 : Epoch 10, Batch      7, Loss  0.519022, Average Loss  0.544157, Time  0.237017
2021-09-11 05:48:37.198802 : Epoch 10, Batch      8, Loss  0.538287, Average Loss  0.544183, Time  0.236614
2021-09-11 05:48:38.727453 : Epoch 10, Batch      9, Loss  0.540333, Average Loss  0.544153, Time  0.233595
2021-09-11 05:48:40.258773 : Epoch 10, Batch     10, Loss  0.544263, Average Loss  0.544089, Time  0.238111
2021-09-11 05:48:41.789472 : Epoch 10, Batch     11, Loss  0.550320, Average Loss  0.544030, Time  0.235730
2021-09-11 05:48:43.359923 : Epoch 10, Batch     12, Loss  0.528416, Average Loss  0.543889, Time  0.231848
2021-09-11 05:48:44.913085 : Epoch 10, Batch     13, Loss  0.546760, Average Loss  0.543948, Time  0.232546
2021-09-11 05:48:46.505865 : Epoch 10, Batch     14, Loss  0.541063, Average Loss  0.543968, Time  0.285751
2021-09-11 05:48:48.046094 : Epoch 10, Batch     15, Loss  0.535416, Average Loss  0.543913, Time  0.230894
2021-09-11 05:48:49.577889 : Epoch 10, Batch     16, Loss  0.549537, Average Loss  0.543882, Time  0.233901
2021-09-11 05:48:51.127221 : Epoch 10, Batch     17, Loss  0.538990, Average Loss  0.543846, Time  0.232065
2021-09-11 05:49:48.970827 : CheckPoint: Validation Loss  0.00022411, Best Loss  0.00021921
2021-09-11 05:49:50.501055 : Epoch 10, Batch     18, Loss  0.543336, Average Loss  0.543798, Time  0.237270
2021-09-11 05:49:52.026960 : Epoch 10, Batch     19, Loss  0.547168, Average Loss  0.543881, Time  0.238358
2021-09-11 05:49:53.553742 : Epoch 10, Batch     20, Loss  0.541795, Average Loss  0.543900, Time  0.235391
2021-09-11 05:49:55.074795 : Epoch 10, Batch     21, Loss  0.541122, Average Loss  0.543847, Time  0.242912
2021-09-11 05:49:56.581014 : Epoch 10, Batch     22, Loss  0.528667, Average Loss  0.543725, Time  0.236389
2021-09-11 05:49:58.120016 : Epoch 10, Batch     23, Loss  0.546521, Average Loss  0.543747, Time  0.236394
2021-09-11 05:49:59.732393 : Epoch 10, Batch     24, Loss  0.555490, Average Loss  0.543747, Time  0.313160
2021-09-11 05:50:01.289095 : Epoch 10, Batch     25, Loss  0.545917, Average Loss  0.543715, Time  0.232854
2021-09-11 05:50:02.888026 : Epoch 10, Batch     26, Loss  0.555494, Average Loss  0.543773, Time  0.235410
2021-09-11 05:50:04.528809 : Epoch 10, Batch     27, Loss  0.550759, Average Loss  0.543810, Time  0.320018
2021-09-11 05:50:06.097430 : Epoch 10, Batch     28, Loss  0.555766, Average Loss  0.543865, Time  0.237061
2021-09-11 05:50:07.672880 : Epoch 10, Batch     29, Loss  0.547505, Average Loss  0.543939, Time  0.237108
2021-09-11 05:50:09.449462 : Epoch 10, Batch     30, Loss  0.540787, Average Loss  0.543932, Time  0.337941
2021-09-11 05:50:11.000787 : Epoch 10, Batch     31, Loss  0.537640, Average Loss  0.543933, Time  0.234012
2021-09-11 05:50:12.527628 : Epoch 10, Batch     32, Loss  0.554047, Average Loss  0.543973, Time  0.232183
2021-09-11 05:50:12.870733 : CheckPoint: Validation Loss  0.00060255, Best Loss  0.00057296
2021-09-11 05:50:14.174882 : Epoch 10, Batch     33, Loss  0.537409, Average Loss  0.543986, Time  0.317963
2021-09-11 05:50:14.480361 : Epoch  3, Batch   3679, Loss  0.844839, Average Loss  0.871172, Time  0.186640
2021-09-11 05:50:15.724151 : Epoch 10, Batch     34, Loss  0.540975, Average Loss  0.543953, Time  0.237934
2021-09-11 05:50:16.071818 : Epoch  3, Batch   3680, Loss  0.842143, Average Loss  0.871022, Time  0.170816
2021-09-11 05:50:17.431058 : Epoch 10, Batch     35, Loss  0.531241, Average Loss  0.543783, Time  0.257879
2021-09-11 05:50:17.691015 : Epoch  3, Batch   3681, Loss  0.884557, Average Loss  0.870952, Time  0.170049
2021-09-11 05:50:19.071975 : Epoch 10, Batch     36, Loss  0.542314, Average Loss  0.543696, Time  0.315454
2021-09-11 05:50:19.316021 : Epoch  3, Batch   3682, Loss  0.853536, Average Loss  0.870839, Time  0.171349
2021-09-11 05:50:20.652904 : Epoch 10, Batch     37, Loss  0.535714, Average Loss  0.543695, Time  0.237271
2021-09-11 05:50:20.949024 : Epoch  3, Batch   3683, Loss  0.909565, Average Loss  0.871070, Time  0.180777
2021-09-11 05:50:22.224891 : Epoch 10, Batch     38, Loss  0.549200, Average Loss  0.543784, Time  0.237730
2021-09-11 05:50:22.556027 : Epoch  3, Batch   3684, Loss  0.888613, Average Loss  0.871117, Time  0.172927
2021-09-11 05:50:23.914241 : Epoch 10, Batch     39, Loss  0.529364, Average Loss  0.543659, Time  0.327094
2021-09-11 05:50:24.188849 : Epoch  3, Batch   3685, Loss  0.891969, Average Loss  0.871187, Time  0.169840
2021-09-11 05:50:25.495852 : Epoch 10, Batch     40, Loss  0.542667, Average Loss  0.543648, Time  0.234025
2021-09-11 05:50:25.810919 : Epoch  3, Batch   3686, Loss  0.843569, Average Loss  0.871186, Time  0.170183
2021-09-11 05:50:27.044787 : Epoch 10, Batch     41, Loss  0.544122, Average Loss  0.543657, Time  0.237167
2021-09-11 05:50:27.455755 : Epoch  3, Batch   3687, Loss  0.852274, Average Loss  0.871061, Time  0.185166
2021-09-11 05:50:28.836456 : Epoch 10, Batch     42, Loss  0.556818, Average Loss  0.543740, Time  0.331223
2021-09-11 05:50:29.113023 : Epoch  3, Batch   3688, Loss  0.887698, Average Loss  0.871161, Time  0.172768
2021-09-11 05:50:30.526712 : Epoch 10, Batch     43, Loss  0.537850, Average Loss  0.543724, Time  0.256555
2021-09-11 05:50:30.750749 : Epoch  3, Batch   3689, Loss  0.875076, Average Loss  0.871120, Time  0.173929
2021-09-11 05:50:32.072864 : Epoch 10, Batch     44, Loss  0.550515, Average Loss  0.543699, Time  0.234509
2021-09-11 05:50:32.425884 : Epoch  3, Batch   3690, Loss  0.848018, Average Loss  0.871056, Time  0.174733
2021-09-11 05:50:33.689296 : Epoch 10, Batch     45, Loss  0.556268, Average Loss  0.543788, Time  0.318043
2021-09-11 05:50:34.057032 : Epoch  3, Batch   3691, Loss  0.880476, Average Loss  0.871120, Time  0.169682
2021-09-11 05:50:35.257848 : Epoch 10, Batch     46, Loss  0.531479, Average Loss  0.543696, Time  0.263649
2021-09-11 05:50:35.698028 : Epoch  3, Batch   3692, Loss  0.893092, Average Loss  0.871134, Time  0.170109
2021-09-11 05:50:36.972348 : Epoch 10, Batch     47, Loss  0.533453, Average Loss  0.543629, Time  0.260867
2021-09-11 05:50:37.320019 : Epoch  3, Batch   3693, Loss  0.868926, Average Loss  0.871190, Time  0.174086
2021-09-11 05:50:38.649833 : Epoch 10, Batch     48, Loss  0.532281, Average Loss  0.543578, Time  0.232265
2021-09-11 05:50:38.932776 : Epoch  3, Batch   3694, Loss  0.885865, Average Loss  0.871231, Time  0.171739
2021-09-11 05:50:40.224234 : Epoch 10, Batch     49, Loss  0.550406, Average Loss  0.543624, Time  0.232573
2021-09-11 05:50:40.567747 : Epoch  3, Batch   3695, Loss  0.882501, Average Loss  0.871405, Time  0.169796
2021-09-11 05:50:41.785040 : Epoch 10, Batch     50, Loss  0.548936, Average Loss  0.543585, Time  0.232533
2021-09-11 05:50:42.211754 : Epoch  3, Batch   3696, Loss  0.858944, Average Loss  0.871428, Time  0.174963
2021-09-11 05:50:43.358734 : Epoch 10, Batch     51, Loss  0.532476, Average Loss  0.543561, Time  0.233709
2021-09-11 05:50:43.872762 : Epoch  3, Batch   3697, Loss  0.872544, Average Loss  0.871363, Time  0.197098
2021-09-11 05:50:44.909957 : Epoch 10, Batch     52, Loss  0.561298, Average Loss  0.543657, Time  0.233053
2021-09-11 05:50:45.512773 : Epoch  3, Batch   3698, Loss  0.876537, Average Loss  0.871558, Time  0.171616
2021-09-11 05:50:46.519103 : Epoch 10, Batch     53, Loss  0.540022, Average Loss  0.543658, Time  0.234166
2021-09-11 05:50:47.146021 : Epoch  3, Batch   3699, Loss  0.853895, Average Loss  0.871439, Time  0.174850
2021-09-11 05:50:48.098992 : Epoch 10, Batch     54, Loss  0.545586, Average Loss  0.543689, Time  0.257972
2021-09-11 05:50:48.768789 : Epoch  3, Batch   3700, Loss  0.868736, Average Loss  0.871571, Time  0.170221
2021-09-11 05:50:49.806409 : Epoch 10, Batch     55, Loss  0.548065, Average Loss  0.543687, Time  0.256812
2021-09-11 05:50:50.400870 : Epoch  3, Batch   3701, Loss  0.873047, Average Loss  0.871628, Time  0.170013
2021-09-11 05:50:51.504139 : Epoch 10, Batch     56, Loss  0.543962, Average Loss  0.543615, Time  0.242470
2021-09-11 05:50:52.031760 : Epoch  3, Batch   3702, Loss  0.893122, Average Loss  0.871826, Time  0.173378
2021-09-11 05:50:53.078146 : Epoch 10, Batch     57, Loss  0.546063, Average Loss  0.543651, Time  0.247589
2021-09-11 05:50:53.682835 : Epoch  3, Batch   3703, Loss  0.886756, Average Loss  0.871950, Time  0.178845
2021-09-11 05:50:54.619793 : Epoch 10, Batch     58, Loss  0.542989, Average Loss  0.543640, Time  0.240512
2021-09-11 05:50:55.324053 : Epoch  3, Batch   3704, Loss  0.877676, Average Loss  0.871882, Time  0.172966
2021-09-11 05:50:56.153973 : Epoch 10, Batch     59, Loss  0.540298, Average Loss  0.543659, Time  0.236439
2021-09-11 05:50:56.964029 : Epoch  3, Batch   3705, Loss  0.872132, Average Loss  0.871922, Time  0.179748
2021-09-11 05:50:57.705078 : Epoch 10, Batch     60, Loss  0.545577, Average Loss  0.543672, Time  0.242846
2021-09-11 05:50:58.597952 : Epoch  3, Batch   3706, Loss  0.872255, Average Loss  0.871931, Time  0.170266
2021-09-11 05:50:59.268972 : Epoch 10, Batch     61, Loss  0.535939, Average Loss  0.543689, Time  0.232917
2021-09-11 05:51:00.208827 : Epoch  3, Batch   3707, Loss  0.848987, Average Loss  0.871875, Time  0.172967
2021-09-11 05:51:00.824298 : Epoch 10, Batch     62, Loss  0.531522, Average Loss  0.543580, Time  0.236482
2021-09-11 05:51:01.848033 : Epoch  3, Batch   3708, Loss  0.851928, Average Loss  0.871861, Time  0.176274
2021-09-11 05:51:02.433501 : Epoch 10, Batch     63, Loss  0.543059, Average Loss  0.543631, Time  0.314992
2021-09-11 05:51:03.501801 : Epoch  3, Batch   3709, Loss  0.879489, Average Loss  0.871840, Time  0.170028
2021-09-11 05:51:04.145245 : Epoch 10, Batch     64, Loss  0.539331, Average Loss  0.543619, Time  0.256293
2021-09-11 05:51:05.135026 : Epoch  3, Batch   3710, Loss  0.875023, Average Loss  0.871864, Time  0.174252
2021-09-11 05:51:05.686997 : Epoch 10, Batch     65, Loss  0.549464, Average Loss  0.543649, Time  0.234930
2021-09-11 05:51:06.780034 : Epoch  3, Batch   3711, Loss  0.851342, Average Loss  0.871776, Time  0.171928
2021-09-11 05:51:06.867894 : Saving Model after 3-th Epoch.
2021-09-11 05:51:07.291270 : Epoch 10, Batch     66, Loss  0.544804, Average Loss  0.543629, Time  0.314613
2021-09-11 05:51:08.012040 : Epoch Finished.
2021-09-11 05:51:08.817936 : Epoch 10, Batch     67, Loss  0.557257, Average Loss  0.543699, Time  0.236746
2021-09-11 05:51:10.347914 : Epoch 10, Batch     68, Loss  0.539363, Average Loss  0.543704, Time  0.237275
2021-09-11 05:51:11.985544 : Epoch 10, Batch     69, Loss  0.550304, Average Loss  0.543784, Time  0.312978
2021-09-11 05:51:13.544891 : Epoch 10, Batch     70, Loss  0.553872, Average Loss  0.543873, Time  0.235463
2021-09-11 05:51:13.628666 : Batch Shuffled
2021-09-11 05:51:15.101240 : Epoch 10, Batch     71, Loss  0.535789, Average Loss  0.543903, Time  0.234721
2021-09-11 05:51:15.264028 : Epoch  4, Batch      1, Loss  0.847501, Average Loss  0.871667, Time  0.179749
2021-09-11 05:51:16.901030 : Epoch  4, Batch      2, Loss  0.879436, Average Loss  0.871541, Time  0.172279
2021-09-11 05:51:18.526339 : Epoch 10, Batch     73, Loss  0.543986, Average Loss  0.544004, Time  0.258568
2021-09-11 05:51:18.547813 : Epoch  4, Batch      3, Loss  0.858007, Average Loss  0.871539, Time  0.173738
2021-09-11 05:51:20.190923 : Epoch  4, Batch      4, Loss  0.879251, Average Loss  0.871493, Time  0.170434
2021-09-11 05:51:20.211838 : Epoch 10, Batch     74, Loss  0.532236, Average Loss  0.543941, Time  0.259063
2021-09-11 05:51:21.849826 : Epoch  4, Batch      5, Loss  0.840365, Average Loss  0.871340, Time  0.171277
2021-09-11 05:51:21.920790 : Epoch 10, Batch     75, Loss  0.554469, Average Loss  0.543956, Time  0.231722
2021-09-11 05:51:23.508756 : Epoch  4, Batch      6, Loss  0.863905, Average Loss  0.871118, Time  0.171242
2021-09-11 05:51:23.508900 : Epoch 10, Batch     76, Loss  0.538376, Average Loss  0.543881, Time  0.236820
2021-09-11 05:51:25.092539 : Epoch 10, Batch     77, Loss  0.540426, Average Loss  0.543873, Time  0.253283
2021-09-11 05:51:25.136098 : Epoch  4, Batch      7, Loss  0.871816, Average Loss  0.871192, Time  0.175693
2021-09-11 05:51:26.747036 : Epoch  4, Batch      8, Loss  0.852215, Average Loss  0.871135, Time  0.169974
2021-09-11 05:51:26.757125 : Epoch 10, Batch     78, Loss  0.547877, Average Loss  0.543859, Time  0.232428
2021-09-11 05:51:28.345361 : Epoch 10, Batch     79, Loss  0.559305, Average Loss  0.543922, Time  0.240847
2021-09-11 05:51:28.381038 : Epoch  4, Batch      9, Loss  0.840657, Average Loss  0.870910, Time  0.171860
2021-09-11 05:51:29.901391 : Epoch 10, Batch     80, Loss  0.543506, Average Loss  0.543990, Time  0.236632
2021-09-11 05:51:30.016941 : Epoch  4, Batch     10, Loss  0.863892, Average Loss  0.870795, Time  0.181166
2021-09-11 05:51:31.442402 : Epoch 10, Batch     81, Loss  0.573239, Average Loss  0.544162, Time  0.237532
2021-09-11 05:51:31.655035 : Epoch  4, Batch     11, Loss  0.866423, Average Loss  0.870693, Time  0.179307
2021-09-11 05:51:32.991924 : Epoch 10, Batch     82, Loss  0.528910, Average Loss  0.544118, Time  0.234754
2021-09-11 05:51:33.270767 : Epoch  4, Batch     12, Loss  0.879776, Average Loss  0.870806, Time  0.170092
2021-09-11 05:51:34.535811 : Epoch 10, Batch     83, Loss  0.534188, Average Loss  0.544002, Time  0.232528
2021-09-11 05:51:34.900775 : Epoch  4, Batch     13, Loss  0.850589, Average Loss  0.870648, Time  0.175080
2021-09-11 05:51:36.231043 : Epoch 10, Batch     84, Loss  0.539508, Average Loss  0.543956, Time  0.256155
2021-09-11 05:51:36.541031 : Epoch  4, Batch     14, Loss  0.840981, Average Loss  0.870456, Time  0.172482
2021-09-11 05:51:37.898988 : Epoch 10, Batch     85, Loss  0.547679, Average Loss  0.544002, Time  0.253082
2021-09-11 05:51:38.136740 : Epoch  4, Batch     15, Loss  0.842914, Average Loss  0.870428, Time  0.170273
2021-09-11 05:51:39.466282 : Epoch 10, Batch     86, Loss  0.554556, Average Loss  0.544027, Time  0.234345
2021-09-11 05:51:39.771035 : Epoch  4, Batch     16, Loss  0.867325, Average Loss  0.870643, Time  0.169749
2021-09-11 05:51:40.999003 : Epoch 10, Batch     87, Loss  0.554005, Average Loss  0.544043, Time  0.233243
2021-09-11 05:51:41.389776 : Epoch  4, Batch     17, Loss  0.885188, Average Loss  0.870858, Time  0.170115
2021-09-11 05:51:43.041834 : Epoch  4, Batch     18, Loss  0.856416, Average Loss  0.870719, Time  0.179029
2021-09-11 05:51:44.682029 : Epoch  4, Batch     19, Loss  0.856422, Average Loss  0.870686, Time  0.174369
2021-09-11 05:51:45.817385 : Epoch 10, Batch     88, Loss  0.538991, Average Loss  0.544069, Time  0.236242
2021-09-11 05:51:46.305807 : Epoch  4, Batch     20, Loss  0.863793, Average Loss  0.870657, Time  0.174100
2021-09-11 05:51:47.330400 : Epoch 10, Batch     89, Loss  0.543522, Average Loss  0.544033, Time  0.234019
2021-09-11 05:51:47.933744 : Epoch  4, Batch     21, Loss  0.869798, Average Loss  0.870702, Time  0.171066
2021-09-11 05:51:48.849016 : Epoch 10, Batch     90, Loss  0.540018, Average Loss  0.544044, Time  0.230955
2021-09-11 05:51:49.547033 : Epoch  4, Batch     22, Loss  0.856299, Average Loss  0.870708, Time  0.171488
2021-09-11 05:51:50.508782 : Epoch 10, Batch     91, Loss  0.530324, Average Loss  0.543920, Time  0.251518
2021-09-11 05:51:51.224860 : Epoch  4, Batch     23, Loss  0.850360, Average Loss  0.870424, Time  0.177748
2021-09-11 05:51:52.198309 : Epoch 10, Batch     92, Loss  0.545975, Average Loss  0.543969, Time  0.255677
2021-09-11 05:51:52.855042 : Epoch  4, Batch     24, Loss  0.877850, Average Loss  0.870506, Time  0.177335
2021-09-11 05:51:53.766430 : Epoch 10, Batch     93, Loss  0.537854, Average Loss  0.543889, Time  0.238209
2021-09-11 05:51:54.488039 : Epoch  4, Batch     25, Loss  0.851847, Average Loss  0.870366, Time  0.178165
2021-09-11 05:51:55.331961 : Epoch 10, Batch     94, Loss  0.536779, Average Loss  0.543866, Time  0.232722
2021-09-11 05:51:56.121763 : Epoch  4, Batch     26, Loss  0.861531, Average Loss  0.870402, Time  0.179989
2021-09-11 05:51:56.893400 : Epoch 10, Batch     95, Loss  0.550101, Average Loss  0.543842, Time  0.233266
2021-09-11 05:51:57.756036 : Epoch  4, Batch     27, Loss  0.856560, Average Loss  0.870229, Time  0.174819
2021-09-11 05:51:58.565839 : Epoch 10, Batch     96, Loss  0.543716, Average Loss  0.543891, Time  0.257024
2021-09-11 05:51:58.787864 : CheckPoint: Validation Loss  0.00030326, Best Loss  0.00029375
2021-09-11 05:51:59.374015 : Epoch  4, Batch     28, Loss  0.872339, Average Loss  0.870349, Time  0.172166
2021-09-11 05:52:00.234953 : Epoch 10, Batch     97, Loss  0.543491, Average Loss  0.543859, Time  0.251503
2021-09-11 05:52:01.028036 : Epoch  4, Batch     29, Loss  0.889714, Average Loss  0.870573, Time  0.177639
2021-09-11 05:52:01.410162 : Epoch  2, Batch   1145, Loss  0.849122, Average Loss  0.869831, Time  0.252166
2021-09-11 05:52:01.940853 : Epoch 10, Batch     98, Loss  0.540883, Average Loss  0.543895, Time  0.253412
2021-09-11 05:52:02.645031 : Epoch  4, Batch     30, Loss  0.876214, Average Loss  0.870653, Time  0.173759
2021-09-11 05:52:03.511481 : Epoch 10, Batch     99, Loss  0.551255, Average Loss  0.543983, Time  0.233312
2021-09-11 05:52:04.026842 : Epoch  2, Batch   1146, Loss  0.870157, Average Loss  0.869798, Time  0.241159
2021-09-11 05:52:04.286074 : Epoch  4, Batch     31, Loss  0.891693, Average Loss  0.870761, Time  0.180190
2021-09-11 05:52:05.083314 : Epoch 10, Batch    100, Loss  0.544005, Average Loss  0.543951, Time  0.232519
2021-09-11 05:52:05.922853 : Epoch  4, Batch     32, Loss  0.887969, Average Loss  0.870908, Time  0.174326
2021-09-11 05:52:06.846907 : Epoch  2, Batch   1147, Loss  0.869242, Average Loss  0.869765, Time  0.454987
2021-09-11 05:52:06.892988 : Epoch 10, Batch    101, Loss  0.547822, Average Loss  0.544014, Time  0.446774
2021-09-11 05:52:07.529787 : Epoch  4, Batch     33, Loss  0.865459, Average Loss  0.870854, Time  0.170120
2021-09-11 05:52:08.567962 : Epoch 10, Batch    102, Loss  0.561510, Average Loss  0.544177, Time  0.254795
2021-09-11 05:52:09.161814 : Epoch  4, Batch     34, Loss  0.878881, Average Loss  0.870966, Time  0.169780
2021-09-11 05:52:09.448294 : Epoch  2, Batch   1148, Loss  0.859397, Average Loss  0.869684, Time  0.242512
2021-09-11 05:52:10.144058 : Epoch 10, Batch    103, Loss  0.546396, Average Loss  0.544191, Time  0.244987
2021-09-11 05:52:10.791030 : Epoch  4, Batch     35, Loss  0.870545, Average Loss  0.870884, Time  0.172267
2021-09-11 05:52:11.708972 : Epoch 10, Batch    104, Loss  0.544265, Average Loss  0.544179, Time  0.232856
2021-09-11 05:52:12.053260 : Epoch  2, Batch   1149, Loss  0.871839, Average Loss  0.869709, Time  0.240318
2021-09-11 05:52:12.441768 : Epoch  4, Batch     36, Loss  0.894437, Average Loss  0.870964, Time  0.171028
2021-09-11 05:52:13.290342 : Epoch 10, Batch    105, Loss  0.547165, Average Loss  0.544200, Time  0.244307
2021-09-11 05:52:14.073030 : Epoch  4, Batch     37, Loss  0.869935, Average Loss  0.870901, Time  0.173812
2021-09-11 05:52:14.646279 : Epoch  2, Batch   1150, Loss  0.862416, Average Loss  0.869707, Time  0.241287
2021-09-11 05:52:14.866098 : Epoch 10, Batch    106, Loss  0.548531, Average Loss  0.544249, Time  0.234674
2021-09-11 05:52:15.728768 : Epoch  4, Batch     38, Loss  0.837960, Average Loss  0.870655, Time  0.195762
2021-09-11 05:52:16.416364 : Epoch 10, Batch    107, Loss  0.539550, Average Loss  0.544231, Time  0.231525
2021-09-11 05:52:17.253188 : Epoch  2, Batch   1151, Loss  0.876915, Average Loss  0.869676, Time  0.246501
2021-09-11 05:52:17.367798 : Epoch  4, Batch     39, Loss  0.883299, Average Loss  0.870744, Time  0.174212
2021-09-11 05:52:17.959805 : Epoch 10, Batch    108, Loss  0.543608, Average Loss  0.544311, Time  0.238569
2021-09-11 05:52:19.007759 : Epoch  4, Batch     40, Loss  0.847935, Average Loss  0.870602, Time  0.170157
2021-09-11 05:52:19.486428 : Epoch 10, Batch    109, Loss  0.529824, Average Loss  0.544238, Time  0.233819
2021-09-11 05:52:19.854808 : Epoch  2, Batch   1152, Loss  0.870604, Average Loss  0.869693, Time  0.241815
2021-09-11 05:52:20.608865 : Epoch  4, Batch     41, Loss  0.890193, Average Loss  0.870626, Time  0.171593
2021-09-11 05:52:21.029112 : Epoch 10, Batch    110, Loss  0.550864, Average Loss  0.544192, Time  0.235046
2021-09-11 05:52:22.243031 : Epoch  4, Batch     42, Loss  0.889730, Average Loss  0.870629, Time  0.176244
2021-09-11 05:52:22.665365 : Epoch  2, Batch   1153, Loss  0.886776, Average Loss  0.869768, Time  0.429305
2021-09-11 05:52:22.716733 : Epoch 10, Batch    111, Loss  0.542049, Average Loss  0.544189, Time  0.363214
2021-09-11 05:52:23.897786 : Epoch  4, Batch     43, Loss  0.898071, Average Loss  0.870739, Time  0.180317
2021-09-11 05:52:24.261320 : Epoch 10, Batch    112, Loss  0.536953, Average Loss  0.544175, Time  0.233385
2021-09-11 05:52:25.295015 : Epoch  2, Batch   1154, Loss  0.862180, Average Loss  0.869789, Time  0.245951
2021-09-11 05:52:25.573847 : Epoch  4, Batch     44, Loss  0.878635, Average Loss  0.870709, Time  0.175323
2021-09-11 05:52:25.949731 : Epoch 10, Batch    113, Loss  0.527727, Average Loss  0.544056, Time  0.253241
2021-09-11 05:52:27.228773 : Epoch  4, Batch     45, Loss  0.882738, Average Loss  0.870654, Time  0.176149
2021-09-11 05:52:27.508987 : Epoch 10, Batch    114, Loss  0.534003, Average Loss  0.543951, Time  0.233166
2021-09-11 05:52:27.917206 : Epoch  2, Batch   1155, Loss  0.877266, Average Loss  0.869811, Time  0.238494
2021-09-11 05:52:28.851780 : Epoch  4, Batch     46, Loss  0.879757, Average Loss  0.870653, Time  0.173622
2021-09-11 05:52:29.050389 : Epoch 10, Batch    115, Loss  0.540448, Average Loss  0.543976, Time  0.237705
2021-09-11 05:52:30.481032 : Epoch  4, Batch     47, Loss  0.884972, Average Loss  0.870819, Time  0.172529
2021-09-11 05:52:30.711952 : Epoch  2, Batch   1156, Loss  0.902162, Average Loss  0.869869, Time  0.432221
2021-09-11 05:52:30.756870 : Epoch 10, Batch    116, Loss  0.550750, Average Loss  0.544069, Time  0.340746
2021-09-11 05:52:32.095071 : Epoch  4, Batch     48, Loss  0.864610, Average Loss  0.870661, Time  0.169815
2021-09-11 05:52:32.285906 : Epoch 10, Batch    117, Loss  0.551841, Average Loss  0.544050, Time  0.239095
2021-09-11 05:52:33.326467 : Epoch  2, Batch   1157, Loss  0.861454, Average Loss  0.869814, Time  0.259018
2021-09-11 05:52:33.713036 : Epoch  4, Batch     49, Loss  0.832692, Average Loss  0.870415, Time  0.169896
2021-09-11 05:52:35.323029 : Epoch  4, Batch     50, Loss  0.865172, Average Loss  0.870400, Time  0.170732
2021-09-11 05:52:35.952378 : Epoch  2, Batch   1158, Loss  0.891059, Average Loss  0.870006, Time  0.242549
2021-09-11 05:52:36.941739 : Epoch  4, Batch     51, Loss  0.891599, Average Loss  0.870376, Time  0.170221
2021-09-11 05:52:38.588036 : Epoch  4, Batch     52, Loss  0.850861, Average Loss  0.870326, Time  0.183378
2021-09-11 05:52:40.234934 : Epoch  4, Batch     53, Loss  0.860908, Average Loss  0.870289, Time  0.171445
2021-09-11 05:52:41.233241 : Epoch  2, Batch   1160, Loss  0.894793, Average Loss  0.870178, Time  0.242644
2021-09-11 05:52:41.857678 : Epoch  4, Batch     54, Loss  0.859339, Average Loss  0.870272, Time  0.177144
2021-09-11 05:52:43.464031 : Epoch  4, Batch     55, Loss  0.889783, Average Loss  0.870369, Time  0.171981
2021-09-11 05:52:43.878962 : Epoch  2, Batch   1161, Loss  0.870443, Average Loss  0.870184, Time  0.245320
2021-09-11 05:52:45.083027 : Epoch  4, Batch     56, Loss  0.870353, Average Loss  0.870400, Time  0.169441
2021-09-11 05:52:46.548077 : Epoch  2, Batch   1162, Loss  0.868126, Average Loss  0.870243, Time  0.269264
2021-09-11 05:52:46.742039 : Epoch  4, Batch     57, Loss  0.863751, Average Loss  0.870366, Time  0.187898
2021-09-11 05:52:48.393880 : Epoch  4, Batch     58, Loss  0.884510, Average Loss  0.870437, Time  0.171501
2021-09-11 05:52:49.268789 : Epoch  2, Batch   1163, Loss  0.856492, Average Loss  0.870179, Time  0.319161
2021-09-11 05:52:50.016023 : Epoch  4, Batch     59, Loss  0.842900, Average Loss  0.870341, Time  0.169607
2021-09-11 05:52:51.629747 : Epoch  4, Batch     60, Loss  0.868505, Average Loss  0.870298, Time  0.174412
2021-09-11 05:52:51.968234 : Epoch  2, Batch   1164, Loss  0.884488, Average Loss  0.870292, Time  0.320523
2021-09-11 05:52:53.250019 : Epoch  4, Batch     61, Loss  0.900065, Average Loss  0.870393, Time  0.170980
2021-09-11 05:52:54.656726 : Epoch  2, Batch   1165, Loss  0.877546, Average Loss  0.870261, Time  0.302681
2021-09-11 05:52:54.839035 : Epoch  4, Batch     62, Loss  0.877808, Average Loss  0.870488, Time  0.174742
2021-09-11 05:52:56.469783 : Epoch  4, Batch     63, Loss  0.863222, Average Loss  0.870263, Time  0.169889
2021-09-11 05:52:57.290757 : Epoch  2, Batch   1166, Loss  0.883963, Average Loss  0.870345, Time  0.239703
2021-09-11 05:52:58.094031 : Epoch  4, Batch     64, Loss  0.867481, Average Loss  0.870303, Time  0.172914
2021-09-11 05:52:59.709537 : Epoch  4, Batch     65, Loss  0.859052, Average Loss  0.870214, Time  0.170272
2021-09-11 05:52:59.922378 : Epoch  2, Batch   1167, Loss  0.873239, Average Loss  0.870402, Time  0.249290
2021-09-11 05:53:01.309813 : Epoch  4, Batch     66, Loss  0.882885, Average Loss  0.870306, Time  0.169892
2021-09-11 05:53:02.550811 : Epoch  2, Batch   1168, Loss  0.874692, Average Loss  0.870453, Time  0.239287
2021-09-11 05:53:02.918776 : Epoch  4, Batch     67, Loss  0.854327, Average Loss  0.870300, Time  0.171443
2021-09-11 05:53:05.201897 : Epoch  2, Batch   1169, Loss  0.885633, Average Loss  0.870569, Time  0.246063
2021-09-11 05:53:07.835105 : Epoch  2, Batch   1170, Loss  0.862825, Average Loss  0.870525, Time  0.259692
2021-09-11 05:53:10.545779 : Epoch  2, Batch   1171, Loss  0.867386, Average Loss  0.870501, Time  0.270326
2021-09-11 05:53:13.189386 : Epoch  2, Batch   1172, Loss  0.863831, Average Loss  0.870421, Time  0.244245
2021-09-11 05:53:15.804085 : Epoch  2, Batch   1173, Loss  0.835232, Average Loss  0.870287, Time  0.241759
2021-09-11 05:53:18.501490 : Epoch  2, Batch   1174, Loss  0.883754, Average Loss  0.870276, Time  0.263268
2021-09-11 05:53:21.141772 : Epoch  2, Batch   1175, Loss  0.874438, Average Loss  0.870180, Time  0.243723
2021-09-11 05:53:23.777957 : Epoch  2, Batch   1176, Loss  0.859177, Average Loss  0.870126, Time  0.242688
2021-09-11 05:53:26.475898 : Epoch  2, Batch   1177, Loss  0.855886, Average Loss  0.870055, Time  0.264278
2021-09-11 05:53:28.389866 : CheckPoint: Validation Loss  0.00021858, Best Loss  0.00021858
2021-09-11 05:53:28.445616 : Best Model Updated
2021-09-11 05:53:29.165239 : Epoch  2, Batch   1178, Loss  0.889891, Average Loss  0.870193, Time  0.258452
2021-09-11 05:53:31.023936 : Epoch 10, Batch    118, Loss  0.569889, Average Loss  0.544127, Time  0.236044
2021-09-11 05:53:31.848970 : Epoch  2, Batch   1179, Loss  0.894187, Average Loss  0.870222, Time  0.266508
2021-09-11 05:53:32.561776 : Epoch 10, Batch    119, Loss  0.538088, Average Loss  0.544086, Time  0.235980
2021-09-11 05:53:34.104877 : Epoch 10, Batch    120, Loss  0.544228, Average Loss  0.544117, Time  0.235978
2021-09-11 05:53:34.532855 : Epoch  2, Batch   1180, Loss  0.877382, Average Loss  0.870229, Time  0.262562
2021-09-11 05:53:35.632909 : Epoch 10, Batch    121, Loss  0.547637, Average Loss  0.544122, Time  0.237967
2021-09-11 05:53:37.368753 : Epoch 10, Batch    122, Loss  0.545327, Average Loss  0.544130, Time  0.445781
2021-09-11 05:53:37.443799 : Epoch  2, Batch   1181, Loss  0.856347, Average Loss  0.870250, Time  0.419250
2021-09-11 05:53:38.916424 : Epoch 10, Batch    123, Loss  0.544382, Average Loss  0.544060, Time  0.236159
2021-09-11 05:53:40.148792 : Epoch  2, Batch   1182, Loss  0.881377, Average Loss  0.870271, Time  0.260272
2021-09-11 05:53:40.424009 : Epoch 10, Batch    124, Loss  0.545119, Average Loss  0.544034, Time  0.233964
2021-09-11 05:53:41.990176 : Epoch 10, Batch    125, Loss  0.543560, Average Loss  0.544018, Time  0.234800
2021-09-11 05:53:42.905335 : Epoch  2, Batch   1183, Loss  0.872924, Average Loss  0.870326, Time  0.260975
2021-09-11 05:53:43.526779 : Epoch 10, Batch    126, Loss  0.548490, Average Loss  0.544089, Time  0.234375
2021-09-11 05:53:45.107824 : Epoch 10, Batch    127, Loss  0.551309, Average Loss  0.544130, Time  0.234789
2021-09-11 05:53:45.607402 : Epoch  2, Batch   1184, Loss  0.854695, Average Loss  0.870213, Time  0.265243
2021-09-11 05:53:46.643335 : Epoch 10, Batch    128, Loss  0.543788, Average Loss  0.544071, Time  0.236546
2021-09-11 05:53:48.345353 : Epoch 10, Batch    129, Loss  0.549378, Average Loss  0.544146, Time  0.410372
2021-09-11 05:53:48.412223 : Epoch  2, Batch   1185, Loss  0.855734, Average Loss  0.870216, Time  0.362746
2021-09-11 05:53:49.886071 : Epoch 10, Batch    130, Loss  0.551478, Average Loss  0.544224, Time  0.236618
2021-09-11 05:53:51.118992 : Epoch  2, Batch   1186, Loss  0.853261, Average Loss  0.870091, Time  0.262508
2021-09-11 05:53:51.415860 : Epoch 10, Batch    131, Loss  0.547926, Average Loss  0.544199, Time  0.239394
2021-09-11 05:53:52.966132 : Epoch 10, Batch    132, Loss  0.545690, Average Loss  0.544204, Time  0.236059
2021-09-11 05:53:53.804172 : Epoch  2, Batch   1187, Loss  0.840414, Average Loss  0.870002, Time  0.238653
2021-09-11 05:53:54.509873 : Epoch 10, Batch    133, Loss  0.550866, Average Loss  0.544248, Time  0.236229
2021-09-11 05:53:56.063324 : Epoch 10, Batch    134, Loss  0.546292, Average Loss  0.544243, Time  0.236208
2021-09-11 05:53:56.428456 : Epoch  2, Batch   1188, Loss  0.875824, Average Loss  0.870090, Time  0.242409
2021-09-11 05:53:57.587927 : Epoch 10, Batch    135, Loss  0.558698, Average Loss  0.544258, Time  0.232422
2021-09-11 05:53:59.231341 : Epoch  2, Batch   1189, Loss  0.868881, Average Loss  0.870001, Time  0.426100
2021-09-11 05:53:59.284451 : Epoch 10, Batch    136, Loss  0.533305, Average Loss  0.544251, Time  0.362393
2021-09-11 05:54:00.796959 : Epoch 10, Batch    137, Loss  0.556132, Average Loss  0.544287, Time  0.231538
2021-09-11 05:54:01.842172 : Epoch  2, Batch   1190, Loss  0.870382, Average Loss  0.869881, Time  0.240587
2021-09-11 05:54:02.321937 : Epoch 10, Batch    138, Loss  0.548849, Average Loss  0.544264, Time  0.231817
2021-09-11 05:54:03.985956 : Epoch 10, Batch    139, Loss  0.542314, Average Loss  0.544287, Time  0.250680
2021-09-11 05:54:04.466795 : Epoch  2, Batch   1191, Loss  0.875466, Average Loss  0.869926, Time  0.242565
2021-09-11 05:54:05.651743 : Epoch 10, Batch    140, Loss  0.545986, Average Loss  0.544329, Time  0.250429
2021-09-11 05:54:07.071160 : Epoch  2, Batch   1192, Loss  0.878782, Average Loss  0.869902, Time  0.239587
2021-09-11 05:54:07.314213 : Epoch 10, Batch    141, Loss  0.545408, Average Loss  0.544197, Time  0.253196
2021-09-11 05:54:08.866860 : Epoch 10, Batch    142, Loss  0.540654, Average Loss  0.544241, Time  0.251607
2021-09-11 05:54:09.695551 : Epoch  2, Batch   1193, Loss  0.906439, Average Loss  0.870009, Time  0.246156
2021-09-11 05:54:10.542836 : Epoch 10, Batch    143, Loss  0.535174, Average Loss  0.544293, Time  0.250262
2021-09-11 05:54:12.046708 : Epoch 10, Batch    144, Loss  0.545895, Average Loss  0.544317, Time  0.230870
2021-09-11 05:54:12.305173 : Epoch  2, Batch   1194, Loss  0.872665, Average Loss  0.870077, Time  0.238660
2021-09-11 05:54:13.557327 : Epoch 10, Batch    145, Loss  0.541705, Average Loss  0.544398, Time  0.232272
2021-09-11 05:54:15.098992 : Epoch  2, Batch   1195, Loss  0.875667, Average Loss  0.870043, Time  0.395335
2021-09-11 05:54:15.158743 : Epoch 10, Batch    146, Loss  0.536933, Average Loss  0.544376, Time  0.301768
2021-09-11 05:54:16.656984 : Epoch 10, Batch    147, Loss  0.538111, Average Loss  0.544280, Time  0.231584
2021-09-11 05:54:17.799356 : Epoch  2, Batch   1196, Loss  0.842177, Average Loss  0.869912, Time  0.263661
2021-09-11 05:54:18.174084 : Epoch 10, Batch    148, Loss  0.549718, Average Loss  0.544301, Time  0.230505
2021-09-11 05:54:19.734687 : Epoch 10, Batch    149, Loss  0.552118, Average Loss  0.544344, Time  0.234549
2021-09-11 05:54:20.487734 : Epoch  2, Batch   1197, Loss  0.858030, Average Loss  0.869873, Time  0.240642
2021-09-11 05:54:21.264046 : Epoch 10, Batch    150, Loss  0.546482, Average Loss  0.544324, Time  0.231963
2021-09-11 05:54:22.919868 : Epoch 10, Batch    151, Loss  0.541034, Average Loss  0.544290, Time  0.250642
2021-09-11 05:54:23.154876 : Epoch  2, Batch   1198, Loss  0.885531, Average Loss  0.870032, Time  0.269477
2021-09-11 05:54:24.474204 : Epoch 10, Batch    152, Loss  0.540536, Average Loss  0.544262, Time  0.231327
2021-09-11 05:54:25.928797 : Epoch  2, Batch   1199, Loss  0.885749, Average Loss  0.870125, Time  0.337296
2021-09-11 05:54:26.040625 : Epoch 10, Batch    153, Loss  0.558433, Average Loss  0.544257, Time  0.273371
2021-09-11 05:54:27.727998 : Epoch 10, Batch    154, Loss  0.553786, Average Loss  0.544321, Time  0.251087
2021-09-11 05:54:28.587983 : Epoch  2, Batch   1200, Loss  0.880641, Average Loss  0.870223, Time  0.240032
2021-09-11 05:54:29.395398 : Epoch 10, Batch    155, Loss  0.540399, Average Loss  0.544311, Time  0.250262
2021-09-11 05:54:31.053961 : Epoch 10, Batch    156, Loss  0.540899, Average Loss  0.544301, Time  0.250569
2021-09-11 05:54:31.262149 : Epoch  2, Batch   1201, Loss  0.878971, Average Loss  0.870430, Time  0.254642
2021-09-11 05:54:32.559291 : Epoch 10, Batch    157, Loss  0.543233, Average Loss  0.544277, Time  0.231076
2021-09-11 05:54:33.970583 : Epoch  2, Batch   1202, Loss  0.859703, Average Loss  0.870456, Time  0.322022
2021-09-11 05:54:34.097965 : Epoch 10, Batch    158, Loss  0.543571, Average Loss  0.544207, Time  0.255647
2021-09-11 05:54:35.649070 : Epoch 10, Batch    159, Loss  0.532815, Average Loss  0.544235, Time  0.232688
2021-09-11 05:54:36.611760 : Epoch  2, Batch   1203, Loss  0.874905, Average Loss  0.870533, Time  0.239897
2021-09-11 05:54:37.290752 : Epoch 10, Batch    160, Loss  0.548052, Average Loss  0.544257, Time  0.231658
2021-09-11 05:54:38.921676 : Epoch 10, Batch    161, Loss  0.543738, Average Loss  0.544292, Time  0.250257
2021-09-11 05:54:39.238981 : Epoch  2, Batch   1204, Loss  0.861166, Average Loss  0.870479, Time  0.240579
2021-09-11 05:54:40.461201 : Epoch 10, Batch    162, Loss  0.553848, Average Loss  0.544329, Time  0.232023
2021-09-11 05:54:42.020662 : Epoch  2, Batch   1205, Loss  0.863769, Average Loss  0.870426, Time  0.364911
2021-09-11 05:54:42.113234 : Epoch 10, Batch    163, Loss  0.534908, Average Loss  0.544267, Time  0.291680
2021-09-11 05:54:43.695132 : Epoch 10, Batch    164, Loss  0.549460, Average Loss  0.544317, Time  0.236068
2021-09-11 05:54:44.670775 : Epoch  2, Batch   1206, Loss  0.862157, Average Loss  0.870314, Time  0.247083
2021-09-11 05:54:45.274763 : Epoch 10, Batch    165, Loss  0.545743, Average Loss  0.544299, Time  0.234475
2021-09-11 05:54:46.868230 : Epoch 10, Batch    166, Loss  0.557065, Average Loss  0.544394, Time  0.237004
2021-09-11 05:54:47.321846 : Epoch  2, Batch   1207, Loss  0.851177, Average Loss  0.870277, Time  0.240569
2021-09-11 05:54:48.436332 : Epoch 10, Batch    167, Loss  0.533504, Average Loss  0.544333, Time  0.233709
2021-09-11 05:54:50.119191 : Epoch  2, Batch   1208, Loss  0.889735, Average Loss  0.870466, Time  0.405453
2021-09-11 05:54:50.175069 : Epoch 10, Batch    168, Loss  0.548753, Average Loss  0.544412, Time  0.346944
2021-09-11 05:54:51.748731 : Epoch 10, Batch    169, Loss  0.546975, Average Loss  0.544362, Time  0.237447
2021-09-11 05:54:52.758906 : Epoch  2, Batch   1209, Loss  0.854457, Average Loss  0.870409, Time  0.238492
2021-09-11 05:54:53.345707 : Epoch 10, Batch    170, Loss  0.535826, Average Loss  0.544251, Time  0.233677
2021-09-11 05:54:54.929314 : Epoch 10, Batch    171, Loss  0.543698, Average Loss  0.544300, Time  0.238250
2021-09-11 05:54:55.372916 : Epoch  2, Batch   1210, Loss  0.871542, Average Loss  0.870450, Time  0.237578
2021-09-11 05:54:56.513926 : Epoch 10, Batch    172, Loss  0.540212, Average Loss  0.544285, Time  0.236932
2021-09-11 05:54:58.239783 : Epoch 10, Batch    173, Loss  0.540064, Average Loss  0.544289, Time  0.413712
2021-09-11 05:54:58.292321 : Epoch  2, Batch   1211, Loss  0.879202, Average Loss  0.870462, Time  0.472605
2021-09-11 05:54:59.940100 : Epoch 10, Batch    174, Loss  0.542053, Average Loss  0.544315, Time  0.252344
2021-09-11 05:55:00.904885 : Epoch  2, Batch   1212, Loss  0.873338, Average Loss  0.870523, Time  0.245849
2021-09-11 05:55:01.622171 : Epoch 10, Batch    175, Loss  0.542973, Average Loss  0.544307, Time  0.251686
2021-09-11 05:55:03.291004 : Epoch 10, Batch    176, Loss  0.545500, Average Loss  0.544375, Time  0.252081
2021-09-11 05:55:03.543146 : Epoch  2, Batch   1213, Loss  0.867445, Average Loss  0.870522, Time  0.240720
2021-09-11 05:55:04.840406 : Epoch 10, Batch    177, Loss  0.544591, Average Loss  0.544396, Time  0.232952
2021-09-11 05:55:06.380510 : Epoch  2, Batch   1214, Loss  0.871225, Average Loss  0.870595, Time  0.378830
2021-09-11 05:55:06.450922 : Epoch 10, Batch    178, Loss  0.555769, Average Loss  0.544387, Time  0.312525
2021-09-11 05:55:07.988025 : Epoch 10, Batch    179, Loss  0.540011, Average Loss  0.544389, Time  0.232093
2021-09-11 05:55:08.995591 : Epoch  2, Batch   1215, Loss  0.854108, Average Loss  0.870602, Time  0.238896
2021-09-11 05:55:09.535912 : Epoch 10, Batch    180, Loss  0.538225, Average Loss  0.544400, Time  0.233141
2021-09-11 05:55:11.075160 : Epoch 10, Batch    181, Loss  0.538231, Average Loss  0.544296, Time  0.231572
2021-09-11 05:55:11.643651 : Epoch  2, Batch   1216, Loss  0.849195, Average Loss  0.870425, Time  0.246835
2021-09-11 05:55:12.750181 : Epoch 10, Batch    182, Loss  0.534733, Average Loss  0.544334, Time  0.250381
2021-09-11 05:55:14.496876 : Epoch 10, Batch    183, Loss  0.540808, Average Loss  0.544341, Time  0.410145
2021-09-11 05:55:14.496905 : Epoch  2, Batch   1217, Loss  0.863097, Average Loss  0.870455, Time  0.454932
2021-09-11 05:55:16.082724 : Epoch 10, Batch    184, Loss  0.548017, Average Loss  0.544389, Time  0.234707
2021-09-11 05:55:17.160933 : Epoch  2, Batch   1218, Loss  0.855276, Average Loss  0.870381, Time  0.240716
2021-09-11 05:55:17.722999 : Epoch 10, Batch    185, Loss  0.541919, Average Loss  0.544310, Time  0.236066
2021-09-11 05:55:19.412073 : Epoch 10, Batch    186, Loss  0.542171, Average Loss  0.544250, Time  0.251008
2021-09-11 05:55:19.789882 : Epoch  2, Batch   1219, Loss  0.873605, Average Loss  0.870402, Time  0.239728
2021-09-11 05:55:21.095443 : Epoch 10, Batch    187, Loss  0.550784, Average Loss  0.544343, Time  0.252193
2021-09-11 05:55:22.415436 : Epoch  2, Batch   1220, Loss  0.890868, Average Loss  0.870370, Time  0.237647
2021-09-11 05:55:25.043398 : Epoch  2, Batch   1221, Loss  0.834735, Average Loss  0.870220, Time  0.240370
2021-09-11 05:55:26.174742 : Epoch 10, Batch    188, Loss  0.546284, Average Loss  0.544350, Time  0.233170
2021-09-11 05:55:27.858802 : Epoch  2, Batch   1222, Loss  0.871525, Average Loss  0.870156, Time  0.442044
2021-09-11 05:55:27.912740 : Epoch 10, Batch    189, Loss  0.551140, Average Loss  0.544367, Time  0.373645
2021-09-11 05:55:29.499845 : Epoch 10, Batch    190, Loss  0.552705, Average Loss  0.544384, Time  0.232429
2021-09-11 05:55:30.534184 : Epoch  2, Batch   1223, Loss  0.883662, Average Loss  0.870132, Time  0.243880
2021-09-11 05:55:31.032803 : Epoch 10, Batch    191, Loss  0.540951, Average Loss  0.544328, Time  0.231039
2021-09-11 05:55:32.576772 : Epoch 10, Batch    192, Loss  0.554275, Average Loss  0.544290, Time  0.232398
2021-09-11 05:55:33.200840 : Epoch  2, Batch   1224, Loss  0.873835, Average Loss  0.870073, Time  0.238937
2021-09-11 05:55:34.102508 : Epoch 10, Batch    193, Loss  0.540558, Average Loss  0.544220, Time  0.232734
2021-09-11 05:55:35.754964 : Epoch 10, Batch    194, Loss  0.549589, Average Loss  0.544272, Time  0.303552
2021-09-11 05:55:35.897067 : Epoch  2, Batch   1225, Loss  0.866509, Average Loss  0.870115, Time  0.260513
2021-09-11 05:55:37.306978 : Epoch 10, Batch    195, Loss  0.538745, Average Loss  0.544238, Time  0.232623
2021-09-11 05:55:38.521980 : Epoch  2, Batch   1226, Loss  0.870806, Average Loss  0.870124, Time  0.238261
2021-09-11 05:55:38.838046 : Epoch 10, Batch    196, Loss  0.534866, Average Loss  0.544170, Time  0.232050
2021-09-11 05:55:40.531398 : Epoch 10, Batch    197, Loss  0.546245, Average Loss  0.544250, Time  0.235361
2021-09-11 05:55:41.135944 : Epoch  2, Batch   1227, Loss  0.870383, Average Loss  0.870126, Time  0.237039
2021-09-11 05:55:42.097785 : Epoch 10, Batch    198, Loss  0.539907, Average Loss  0.544295, Time  0.232080
2021-09-11 05:55:43.757290 : Epoch 10, Batch    199, Loss  0.546915, Average Loss  0.544279, Time  0.369509
2021-09-11 05:55:43.848444 : Epoch  2, Batch   1228, Loss  0.850887, Average Loss  0.870027, Time  0.318406
2021-09-11 05:55:45.415261 : Epoch 10, Batch    200, Loss  0.542115, Average Loss  0.544182, Time  0.250456
2021-09-11 05:55:46.494543 : Epoch  2, Batch   1229, Loss  0.876105, Average Loss  0.870172, Time  0.240375
2021-09-11 05:55:46.974695 : Epoch 10, Batch    201, Loss  0.567285, Average Loss  0.544332, Time  0.233503
2021-09-11 05:55:48.539849 : Epoch 10, Batch    202, Loss  0.542045, Average Loss  0.544233, Time  0.236751
2021-09-11 05:55:49.125180 : Epoch  2, Batch   1230, Loss  0.877352, Average Loss  0.870268, Time  0.244682
2021-09-11 05:55:50.247775 : Epoch 10, Batch    203, Loss  0.547685, Average Loss  0.544279, Time  0.251708
2021-09-11 05:55:51.957376 : Epoch  2, Batch   1231, Loss  0.877513, Average Loss  0.870273, Time  0.446306
2021-09-11 05:55:52.006891 : Epoch 10, Batch    204, Loss  0.541968, Average Loss  0.544260, Time  0.407251
2021-09-11 05:55:53.566203 : Epoch 10, Batch    205, Loss  0.534328, Average Loss  0.544189, Time  0.231422
2021-09-11 05:55:54.575425 : Epoch  2, Batch   1232, Loss  0.874978, Average Loss  0.870376, Time  0.238190
2021-09-11 05:55:55.242713 : Epoch 10, Batch    206, Loss  0.554687, Average Loss  0.544315, Time  0.251071
2021-09-11 05:55:56.831075 : Epoch 10, Batch    207, Loss  0.550156, Average Loss  0.544471, Time  0.238074
2021-09-11 05:55:57.194088 : Epoch  2, Batch   1233, Loss  0.891540, Average Loss  0.870468, Time  0.241397
2021-09-11 05:55:58.419395 : Epoch 10, Batch    208, Loss  0.523404, Average Loss  0.544397, Time  0.236399
2021-09-11 05:55:59.847407 : Epoch  2, Batch   1234, Loss  0.873563, Average Loss  0.870472, Time  0.237681
2021-09-11 05:56:00.078751 : Epoch 10, Batch    209, Loss  0.545758, Average Loss  0.544424, Time  0.256235
2021-09-11 05:56:01.748179 : Epoch 10, Batch    210, Loss  0.541924, Average Loss  0.544412, Time  0.250475
2021-09-11 05:56:02.476982 : Epoch  2, Batch   1235, Loss  0.887918, Average Loss  0.870608, Time  0.237605
2021-09-11 05:56:03.261098 : Epoch 10, Batch    211, Loss  0.551908, Average Loss  0.544420, Time  0.231214
2021-09-11 05:56:05.008803 : Epoch 10, Batch    212, Loss  0.548594, Average Loss  0.544521, Time  0.337382
2021-09-11 05:56:05.120594 : Epoch  2, Batch   1236, Loss  0.861899, Average Loss  0.870623, Time  0.270700
2021-09-11 05:56:06.678933 : Epoch 10, Batch    213, Loss  0.551125, Average Loss  0.544543, Time  0.249789
2021-09-11 05:56:07.762096 : Epoch  2, Batch   1237, Loss  0.879253, Average Loss  0.870725, Time  0.244379
2021-09-11 05:56:08.242095 : Epoch 10, Batch    214, Loss  0.530976, Average Loss  0.544492, Time  0.235836
2021-09-11 05:56:09.816203 : Epoch 10, Batch    215, Loss  0.540083, Average Loss  0.544516, Time  0.251477
2021-09-11 05:56:10.444445 : Epoch  2, Batch   1238, Loss  0.873325, Average Loss  0.870766, Time  0.241704
2021-09-11 05:56:11.496756 : Epoch 10, Batch    216, Loss  0.532539, Average Loss  0.544431, Time  0.251219
2021-09-11 05:56:13.237608 : Epoch  2, Batch   1239, Loss  0.859809, Average Loss  0.870693, Time  0.405687
2021-09-11 05:56:13.287055 : Epoch 10, Batch    217, Loss  0.552867, Average Loss  0.544500, Time  0.462949
2021-09-11 05:56:15.852750 : Epoch  2, Batch   1240, Loss  0.889612, Average Loss  0.870689, Time  0.238975
2021-09-11 05:56:18.511017 : Epoch  2, Batch   1241, Loss  0.861471, Average Loss  0.870573, Time  0.248812
2021-09-11 05:56:21.156921 : Epoch  2, Batch   1242, Loss  0.878154, Average Loss  0.870597, Time  0.244892
2021-09-11 05:56:23.817071 : Epoch  2, Batch   1243, Loss  0.871380, Average Loss  0.870568, Time  0.257343
2021-09-11 05:56:26.500970 : Epoch  2, Batch   1244, Loss  0.883650, Average Loss  0.870505, Time  0.288689
2021-09-11 05:57:15.364820 : CheckPoint: Validation Loss  0.00022322, Best Loss  0.00021858
2021-09-11 05:57:17.037889 : Epoch 10, Batch    218, Loss  0.537799, Average Loss  0.544472, Time  0.251343
2021-09-11 05:57:18.583892 : Epoch 10, Batch    219, Loss  0.530060, Average Loss  0.544387, Time  0.235788
2021-09-11 05:57:20.134890 : Epoch 10, Batch    220, Loss  0.554632, Average Loss  0.544451, Time  0.236400
2021-09-11 05:57:21.771986 : Epoch 10, Batch    221, Loss  0.542432, Average Loss  0.544458, Time  0.251815
2021-09-11 05:57:23.452757 : Epoch 10, Batch    222, Loss  0.539218, Average Loss  0.544510, Time  0.255276
2021-09-11 05:57:25.114703 : Epoch 10, Batch    223, Loss  0.549213, Average Loss  0.544524, Time  0.250282
2021-09-11 05:57:26.790976 : Epoch 10, Batch    224, Loss  0.543658, Average Loss  0.544465, Time  0.251282
2021-09-11 05:57:28.456740 : Epoch 10, Batch    225, Loss  0.539120, Average Loss  0.544431, Time  0.250018
2021-09-11 05:57:29.989976 : Epoch 10, Batch    226, Loss  0.538268, Average Loss  0.544345, Time  0.234202
2021-09-11 05:57:31.670826 : Epoch 10, Batch    227, Loss  0.541025, Average Loss  0.544296, Time  0.250783
2021-09-11 05:57:33.341295 : Epoch 10, Batch    228, Loss  0.535717, Average Loss  0.544196, Time  0.250913
2021-09-11 05:57:35.012537 : Epoch 10, Batch    229, Loss  0.556002, Average Loss  0.544238, Time  0.251078
2021-09-11 05:57:35.185113 : Epoch 10, Batch    230, Loss  0.463126, Average Loss  0.543850, Time  0.117974
2021-09-11 05:57:36.789906 : Epoch 10, Batch    231, Loss  0.545448, Average Loss  0.543889, Time  0.286482
2021-09-11 05:57:38.468191 : Epoch 10, Batch    232, Loss  0.536801, Average Loss  0.543803, Time  0.251077
2021-09-11 05:57:40.160826 : Epoch 10, Batch    233, Loss  0.536178, Average Loss  0.543796, Time  0.253039
2021-09-11 05:57:41.707811 : Epoch 10, Batch    234, Loss  0.555281, Average Loss  0.543868, Time  0.232202
2021-09-11 05:57:43.227682 : Epoch 10, Batch    235, Loss  0.543456, Average Loss  0.543929, Time  0.230726
2021-09-11 05:57:43.755714 : CheckPoint: Validation Loss  0.00058332, Best Loss  0.00057296
2021-09-11 05:57:44.784938 : Epoch 10, Batch    236, Loss  0.545676, Average Loss  0.543946, Time  0.236657
2021-09-11 05:57:45.423884 : Epoch  4, Batch     68, Loss  0.880778, Average Loss  0.870295, Time  0.182279
2021-09-11 05:57:46.358880 : Epoch 10, Batch    237, Loss  0.547729, Average Loss  0.544006, Time  0.235142
2021-09-11 05:57:47.052738 : Epoch  4, Batch     69, Loss  0.868216, Average Loss  0.870308, Time  0.176752
2021-09-11 05:57:47.974650 : Epoch 10, Batch    238, Loss  0.552699, Average Loss  0.544023, Time  0.232287
2021-09-11 05:57:48.699753 : Epoch  4, Batch     70, Loss  0.859706, Average Loss  0.870138, Time  0.173595
2021-09-11 05:57:49.547875 : Epoch 10, Batch    239, Loss  0.551136, Average Loss  0.544132, Time  0.232037
2021-09-11 05:57:50.322089 : Epoch  4, Batch     71, Loss  0.899162, Average Loss  0.870406, Time  0.170451
2021-09-11 05:57:51.096235 : Epoch 10, Batch    240, Loss  0.548460, Average Loss  0.544161, Time  0.231903
2021-09-11 05:57:51.956871 : Epoch  4, Batch     72, Loss  0.874180, Average Loss  0.870422, Time  0.173700
2021-09-11 05:57:52.629533 : Epoch 10, Batch    241, Loss  0.544751, Average Loss  0.544164, Time  0.232691
2021-09-11 05:57:53.616106 : Epoch  4, Batch     73, Loss  0.894057, Average Loss  0.870495, Time  0.176879
2021-09-11 05:57:54.297376 : Epoch 10, Batch    242, Loss  0.545100, Average Loss  0.544106, Time  0.251017
2021-09-11 05:57:55.279773 : Epoch  4, Batch     74, Loss  0.865834, Average Loss  0.870518, Time  0.176786
2021-09-11 05:57:55.860665 : Epoch 10, Batch    243, Loss  0.548965, Average Loss  0.544161, Time  0.238387
2021-09-11 05:57:56.917079 : Epoch  4, Batch     75, Loss  0.890140, Average Loss  0.870634, Time  0.173395
2021-09-11 05:57:57.457105 : Epoch 10, Batch    244, Loss  0.538836, Average Loss  0.544103, Time  0.239085
2021-09-11 05:57:58.534864 : Epoch  4, Batch     76, Loss  0.857923, Average Loss  0.870651, Time  0.170506
2021-09-11 05:57:59.033782 : Epoch 10, Batch    245, Loss  0.538088, Average Loss  0.544012, Time  0.252327
2021-09-11 05:58:00.277755 : Epoch  4, Batch     77, Loss  0.879275, Average Loss  0.870639, Time  0.170259
2021-09-11 05:58:00.623971 : Epoch 10, Batch    246, Loss  0.548669, Average Loss  0.544098, Time  0.231537
2021-09-11 05:58:01.904078 : Epoch  4, Batch     78, Loss  0.855957, Average Loss  0.870610, Time  0.178267
2021-09-11 05:58:02.162997 : Epoch 10, Batch    247, Loss  0.549064, Average Loss  0.544176, Time  0.236081
2021-09-11 05:58:03.547062 : Epoch  4, Batch     79, Loss  0.873609, Average Loss  0.870714, Time  0.170022
2021-09-11 05:58:03.734580 : Epoch 10, Batch    248, Loss  0.545073, Average Loss  0.544240, Time  0.240580
2021-09-11 05:58:05.180037 : Epoch  4, Batch     80, Loss  0.895754, Average Loss  0.870825, Time  0.173585
2021-09-11 05:58:05.381545 : Epoch 10, Batch    249, Loss  0.536243, Average Loss  0.544169, Time  0.320474
2021-09-11 05:58:06.806029 : Epoch  4, Batch     81, Loss  0.894228, Average Loss  0.871031, Time  0.173892
2021-09-11 05:58:06.961127 : Epoch 10, Batch    250, Loss  0.545772, Average Loss  0.544153, Time  0.234077
2021-09-11 05:58:08.444897 : Epoch  4, Batch     82, Loss  0.872924, Average Loss  0.870841, Time  0.179324
2021-09-11 05:58:08.513050 : Epoch 10, Batch    251, Loss  0.543499, Average Loss  0.544209, Time  0.232264
2021-09-11 05:58:10.093845 : Epoch  4, Batch     83, Loss  0.865574, Average Loss  0.870790, Time  0.172566
2021-09-11 05:58:10.135008 : Epoch 10, Batch    252, Loss  0.541176, Average Loss  0.544108, Time  0.312693
2021-09-11 05:58:11.651387 : Epoch 10, Batch    253, Loss  0.563712, Average Loss  0.544226, Time  0.233909
2021-09-11 05:58:11.739037 : Epoch  4, Batch     84, Loss  0.843534, Average Loss  0.870642, Time  0.181702
2021-09-11 05:58:13.213570 : Epoch 10, Batch    254, Loss  0.554830, Average Loss  0.544273, Time  0.236389
2021-09-11 05:58:13.385139 : Epoch  4, Batch     85, Loss  0.883653, Average Loss  0.870615, Time  0.173175
2021-09-11 05:58:14.751085 : Epoch 10, Batch    255, Loss  0.548550, Average Loss  0.544275, Time  0.233877
2021-09-11 05:58:14.991799 : Epoch  4, Batch     86, Loss  0.868145, Average Loss  0.870395, Time  0.170805
2021-09-11 05:58:16.290964 : Epoch 10, Batch    256, Loss  0.542598, Average Loss  0.544268, Time  0.235896
2021-09-11 05:58:16.620792 : Epoch  4, Batch     87, Loss  0.898944, Average Loss  0.870476, Time  0.173249
2021-09-11 05:58:17.832086 : Epoch 10, Batch    257, Loss  0.538180, Average Loss  0.544229, Time  0.233167
2021-09-11 05:58:18.243029 : Epoch  4, Batch     88, Loss  0.906443, Average Loss  0.870601, Time  0.169885
2021-09-11 05:58:19.416879 : Epoch 10, Batch    258, Loss  0.543439, Average Loss  0.544231, Time  0.236682
2021-09-11 05:58:19.870860 : Epoch  4, Batch     89, Loss  0.914491, Average Loss  0.870910, Time  0.169773
2021-09-11 05:58:20.982004 : Epoch 10, Batch    259, Loss  0.528066, Average Loss  0.544170, Time  0.235661
2021-09-11 05:58:21.518030 : Epoch  4, Batch     90, Loss  0.878823, Average Loss  0.870789, Time  0.184520
2021-09-11 05:58:22.550051 : Epoch 10, Batch    260, Loss  0.548508, Average Loss  0.544185, Time  0.241399
2021-09-11 05:58:23.153824 : Epoch  4, Batch     91, Loss  0.885833, Average Loss  0.870608, Time  0.171210
2021-09-11 05:58:24.259117 : Epoch 10, Batch    261, Loss  0.538409, Average Loss  0.544197, Time  0.253956
2021-09-11 05:58:24.780780 : Epoch  4, Batch     92, Loss  0.878713, Average Loss  0.870480, Time  0.170975
2021-09-11 05:58:25.828967 : Epoch 10, Batch    262, Loss  0.546950, Average Loss  0.544274, Time  0.236534
2021-09-11 05:58:26.410846 : Epoch  4, Batch     93, Loss  0.859039, Average Loss  0.870500, Time  0.170132
2021-09-11 05:58:27.399794 : Epoch 10, Batch    263, Loss  0.547296, Average Loss  0.544295, Time  0.241534
2021-09-11 05:58:28.055773 : Epoch  4, Batch     94, Loss  0.877402, Average Loss  0.870499, Time  0.179352
2021-09-11 05:58:28.999887 : Epoch 10, Batch    264, Loss  0.544667, Average Loss  0.544322, Time  0.234663
2021-09-11 05:58:29.688759 : Epoch  4, Batch     95, Loss  0.898240, Average Loss  0.870469, Time  0.169957
2021-09-11 05:58:30.549744 : Epoch 10, Batch    265, Loss  0.551782, Average Loss  0.544333, Time  0.231742
2021-09-11 05:58:31.313872 : Epoch  4, Batch     96, Loss  0.869643, Average Loss  0.870489, Time  0.176198
2021-09-11 05:58:32.106845 : Epoch 10, Batch    266, Loss  0.552650, Average Loss  0.544373, Time  0.233682
2021-09-11 05:58:32.957754 : Epoch  4, Batch     97, Loss  0.836394, Average Loss  0.870182, Time  0.173066
2021-09-11 05:58:33.717077 : Epoch 10, Batch    267, Loss  0.537443, Average Loss  0.544274, Time  0.233460
2021-09-11 05:58:34.597025 : Epoch  4, Batch     98, Loss  0.867642, Average Loss  0.870273, Time  0.174928
2021-09-11 05:58:35.286069 : Epoch 10, Batch    268, Loss  0.529542, Average Loss  0.544225, Time  0.239181
2021-09-11 05:58:36.236740 : Epoch  4, Batch     99, Loss  0.874831, Average Loss  0.870419, Time  0.170333
2021-09-11 05:58:36.865167 : Epoch 10, Batch    269, Loss  0.542091, Average Loss  0.544183, Time  0.233148
2021-09-11 05:58:37.871033 : Epoch  4, Batch    100, Loss  0.847045, Average Loss  0.870287, Time  0.170138
2021-09-11 05:58:38.568958 : Epoch 10, Batch    270, Loss  0.541832, Average Loss  0.544123, Time  0.253205
2021-09-11 05:58:39.532867 : Epoch  4, Batch    101, Loss  0.842527, Average Loss  0.870067, Time  0.179835
2021-09-11 05:58:40.229806 : Epoch 10, Batch    271, Loss  0.548699, Average Loss  0.544188, Time  0.237336
2021-09-11 05:58:41.152033 : Epoch  4, Batch    102, Loss  0.870267, Average Loss  0.870064, Time  0.172356
2021-09-11 05:58:41.757759 : Epoch 10, Batch    272, Loss  0.540521, Average Loss  0.544128, Time  0.231448
2021-09-11 05:58:42.774802 : Epoch  4, Batch    103, Loss  0.873617, Average Loss  0.870091, Time  0.174006
2021-09-11 05:58:43.518781 : Epoch 10, Batch    273, Loss  0.557833, Average Loss  0.544197, Time  0.333534
2021-09-11 05:58:44.438026 : Epoch  4, Batch    104, Loss  0.878402, Average Loss  0.870085, Time  0.169772
2021-09-11 05:58:45.060063 : Epoch 10, Batch    274, Loss  0.542693, Average Loss  0.544249, Time  0.232773
2021-09-11 05:58:46.078752 : Epoch  4, Batch    105, Loss  0.844406, Average Loss  0.869888, Time  0.177007
2021-09-11 05:58:46.757168 : Epoch 10, Batch    275, Loss  0.550214, Average Loss  0.544228, Time  0.250050
2021-09-11 05:58:47.714844 : Epoch  4, Batch    106, Loss  0.877306, Average Loss  0.869910, Time  0.176921
2021-09-11 05:58:48.388061 : Epoch 10, Batch    276, Loss  0.531367, Average Loss  0.544193, Time  0.312508
2021-09-11 05:58:49.342036 : Epoch  4, Batch    107, Loss  0.887371, Average Loss  0.870030, Time  0.170000
2021-09-11 05:58:49.943407 : Epoch 10, Batch    277, Loss  0.555511, Average Loss  0.544268, Time  0.233071
2021-09-11 05:58:50.973859 : Epoch  4, Batch    108, Loss  0.859169, Average Loss  0.869877, Time  0.170362
2021-09-11 05:58:51.505723 : Epoch 10, Batch    278, Loss  0.547572, Average Loss  0.544267, Time  0.233131
2021-09-11 05:58:52.585848 : Epoch  4, Batch    109, Loss  0.856797, Average Loss  0.869897, Time  0.170545
2021-09-11 05:58:53.146812 : Epoch 10, Batch    279, Loss  0.536937, Average Loss  0.544155, Time  0.315063
2021-09-11 05:58:54.223931 : Epoch  4, Batch    110, Loss  0.861881, Average Loss  0.869754, Time  0.170626
2021-09-11 05:58:54.749411 : Epoch 10, Batch    280, Loss  0.555307, Average Loss  0.544214, Time  0.242136
2021-09-11 05:58:55.835094 : Epoch  4, Batch    111, Loss  0.860218, Average Loss  0.869648, Time  0.171203
2021-09-11 05:58:56.353115 : Epoch 10, Batch    281, Loss  0.540495, Average Loss  0.544050, Time  0.245765
2021-09-11 05:58:57.479072 : Epoch  4, Batch    112, Loss  0.864301, Average Loss  0.869640, Time  0.175958
2021-09-11 05:58:58.077140 : Epoch 10, Batch    282, Loss  0.548863, Average Loss  0.544150, Time  0.333666
2021-09-11 05:58:59.141904 : Epoch  4, Batch    113, Loss  0.862393, Average Loss  0.869667, Time  0.201413
2021-09-11 05:58:59.623214 : Epoch 10, Batch    283, Loss  0.547447, Average Loss  0.544216, Time  0.232353
2021-09-11 05:59:00.769761 : Epoch  4, Batch    114, Loss  0.860743, Average Loss  0.869593, Time  0.170244
2021-09-11 05:59:01.168079 : Epoch 10, Batch    284, Loss  0.550327, Average Loss  0.544270, Time  0.234056
2021-09-11 05:59:02.396101 : Epoch  4, Batch    115, Loss  0.880938, Average Loss  0.869774, Time  0.175345
2021-09-11 05:59:02.801801 : Epoch 10, Batch    285, Loss  0.539735, Average Loss  0.544231, Time  0.319618
2021-09-11 05:59:04.059757 : Epoch  4, Batch    116, Loss  0.860067, Average Loss  0.869632, Time  0.173508
2021-09-11 05:59:04.374062 : Epoch 10, Batch    286, Loss  0.548637, Average Loss  0.544201, Time  0.239399
2021-09-11 05:59:05.681821 : Epoch  4, Batch    117, Loss  0.893902, Average Loss  0.869701, Time  0.170111
2021-09-11 05:59:05.921082 : Epoch 10, Batch    287, Loss  0.535549, Average Loss  0.544109, Time  0.234515
2021-09-11 05:59:07.286787 : Epoch  4, Batch    118, Loss  0.909711, Average Loss  0.869820, Time  0.169877
2021-09-11 05:59:07.580313 : Epoch 10, Batch    288, Loss  0.554760, Average Loss  0.544188, Time  0.315419
2021-09-11 05:59:08.920759 : Epoch  4, Batch    119, Loss  0.862876, Average Loss  0.869789, Time  0.175746
2021-09-11 05:59:10.517543 : Epoch  4, Batch    120, Loss  0.863158, Average Loss  0.869757, Time  0.169976
2021-09-11 05:59:12.085767 : Epoch 10, Batch    289, Loss  0.560707, Average Loss  0.544273, Time  0.253370
2021-09-11 05:59:12.186760 : Epoch  4, Batch    121, Loss  0.863491, Average Loss  0.869601, Time  0.178776
2021-09-11 05:59:13.800784 : Epoch 10, Batch    290, Loss  0.554359, Average Loss  0.544345, Time  0.259722
2021-09-11 05:59:13.826929 : Epoch  4, Batch    122, Loss  0.892701, Average Loss  0.869764, Time  0.169956
2021-09-11 05:59:15.438025 : Epoch  4, Batch    123, Loss  0.891788, Average Loss  0.869846, Time  0.171249
2021-09-11 05:59:15.537132 : Epoch 10, Batch    291, Loss  0.555937, Average Loss  0.544473, Time  0.251383
2021-09-11 05:59:17.056029 : Epoch  4, Batch    124, Loss  0.903589, Average Loss  0.870107, Time  0.170700
2021-09-11 05:59:17.298877 : Epoch 10, Batch    292, Loss  0.526816, Average Loss  0.544377, Time  0.325602
2021-09-11 05:59:18.668641 : Epoch  4, Batch    125, Loss  0.856619, Average Loss  0.870127, Time  0.178105
2021-09-11 05:59:18.984012 : Epoch 10, Batch    293, Loss  0.546390, Average Loss  0.544420, Time  0.253410
2021-09-11 05:59:20.280024 : Epoch  4, Batch    126, Loss  0.884285, Average Loss  0.870198, Time  0.174605
2021-09-11 05:59:20.516722 : Epoch 10, Batch    294, Loss  0.539313, Average Loss  0.544433, Time  0.232259
2021-09-11 05:59:21.920035 : Epoch  4, Batch    127, Loss  0.905908, Average Loss  0.870405, Time  0.180657
2021-09-11 05:59:22.106727 : Epoch 10, Batch    295, Loss  0.552355, Average Loss  0.544444, Time  0.264904
2021-09-11 05:59:23.553947 : Epoch  4, Batch    128, Loss  0.872656, Average Loss  0.870559, Time  0.187546
2021-09-11 05:59:23.688826 : Epoch 10, Batch    296, Loss  0.544549, Average Loss  0.544448, Time  0.236043
2021-09-11 05:59:25.242711 : Epoch 10, Batch    297, Loss  0.552752, Average Loss  0.544495, Time  0.231369
2021-09-11 05:59:25.290026 : Epoch  4, Batch    129, Loss  0.841782, Average Loss  0.870507, Time  0.177400
2021-09-11 05:59:26.892034 : Epoch  4, Batch    130, Loss  0.898310, Average Loss  0.870486, Time  0.174921
2021-09-11 05:59:26.928976 : Epoch 10, Batch    298, Loss  0.536238, Average Loss  0.544471, Time  0.250255
2021-09-11 05:59:28.539743 : Epoch  4, Batch    131, Loss  0.906615, Average Loss  0.870661, Time  0.176281
2021-09-11 05:59:28.584836 : Epoch 10, Batch    299, Loss  0.555072, Average Loss  0.544490, Time  0.250972
2021-09-11 05:59:30.157024 : Epoch  4, Batch    132, Loss  0.873884, Average Loss  0.870665, Time  0.177553
2021-09-11 05:59:30.239802 : Epoch 10, Batch    300, Loss  0.543131, Average Loss  0.544486, Time  0.250457
2021-09-11 05:59:31.793036 : Epoch  4, Batch    133, Loss  0.872055, Average Loss  0.870690, Time  0.176728
2021-09-11 05:59:31.945727 : Epoch 10, Batch    301, Loss  0.547839, Average Loss  0.544486, Time  0.250789
2021-09-11 05:59:33.473848 : Epoch  4, Batch    134, Loss  0.886758, Average Loss  0.870800, Time  0.175560
2021-09-11 05:59:33.557607 : Epoch 10, Batch    302, Loss  0.534869, Average Loss  0.544353, Time  0.238764
2021-09-11 05:59:35.123765 : Epoch  4, Batch    135, Loss  0.861009, Average Loss  0.870700, Time  0.173376
2021-09-11 05:59:35.127576 : Epoch 10, Batch    303, Loss  0.552013, Average Loss  0.544381, Time  0.233547
2021-09-11 05:59:36.705916 : Epoch 10, Batch    304, Loss  0.545767, Average Loss  0.544388, Time  0.238068
2021-09-11 05:59:36.763876 : Epoch  4, Batch    136, Loss  0.861291, Average Loss  0.870805, Time  0.170021
2021-09-11 05:59:38.248823 : Epoch 10, Batch    305, Loss  0.532858, Average Loss  0.544317, Time  0.236134
2021-09-11 05:59:38.389753 : Epoch  4, Batch    137, Loss  0.874136, Average Loss  0.870876, Time  0.172861
2021-09-11 05:59:39.836864 : Epoch 10, Batch    306, Loss  0.552622, Average Loss  0.544337, Time  0.234842
2021-09-11 05:59:40.028912 : Epoch  4, Batch    138, Loss  0.879166, Average Loss  0.870923, Time  0.175953
2021-09-11 05:59:41.456140 : Epoch 10, Batch    307, Loss  0.544767, Average Loss  0.544363, Time  0.232780
2021-09-11 05:59:41.666797 : Epoch  4, Batch    139, Loss  0.895588, Average Loss  0.871066, Time  0.172969
2021-09-11 05:59:43.148738 : Epoch 10, Batch    308, Loss  0.529069, Average Loss  0.544291, Time  0.251564
2021-09-11 05:59:43.283849 : Epoch  4, Batch    140, Loss  0.844944, Average Loss  0.870884, Time  0.174624
2021-09-11 05:59:44.839811 : Epoch 10, Batch    309, Loss  0.552094, Average Loss  0.544402, Time  0.251036
2021-09-11 05:59:44.938828 : Epoch  4, Batch    141, Loss  0.899281, Average Loss  0.870957, Time  0.170069
2021-09-11 05:59:46.542732 : Epoch 10, Batch    310, Loss  0.542195, Average Loss  0.544359, Time  0.253826
2021-09-11 05:59:46.595029 : Epoch  4, Batch    142, Loss  0.868735, Average Loss  0.870862, Time  0.184572
2021-09-11 05:59:48.189313 : Epoch 10, Batch    311, Loss  0.544077, Average Loss  0.544369, Time  0.314805
2021-09-11 05:59:48.227948 : Epoch  4, Batch    143, Loss  0.873981, Average Loss  0.870966, Time  0.173435
2021-09-11 05:59:49.739053 : Epoch 10, Batch    312, Loss  0.554787, Average Loss  0.544458, Time  0.235814
2021-09-11 05:59:49.849951 : Epoch  4, Batch    144, Loss  0.855235, Average Loss  0.870844, Time  0.169799
2021-09-11 05:59:51.311807 : Epoch 10, Batch    313, Loss  0.539347, Average Loss  0.544516, Time  0.235403
2021-09-11 05:59:51.505040 : Epoch  4, Batch    145, Loss  0.872875, Average Loss  0.870778, Time  0.176041
2021-09-11 05:59:52.870960 : Epoch 10, Batch    314, Loss  0.552245, Average Loss  0.544607, Time  0.237365
2021-09-11 05:59:53.134029 : Epoch  4, Batch    146, Loss  0.873101, Average Loss  0.870814, Time  0.170851
2021-09-11 05:59:54.433041 : Epoch 10, Batch    315, Loss  0.537277, Average Loss  0.544592, Time  0.236636
2021-09-11 05:59:54.776826 : Epoch  4, Batch    147, Loss  0.890602, Average Loss  0.870842, Time  0.169972
2021-09-11 05:59:56.028916 : Epoch 10, Batch    316, Loss  0.538543, Average Loss  0.544531, Time  0.237879
2021-09-11 05:59:56.415031 : Epoch  4, Batch    148, Loss  0.858559, Average Loss  0.871002, Time  0.171618
2021-09-11 05:59:57.574360 : Epoch 10, Batch    317, Loss  0.552167, Average Loss  0.544532, Time  0.231817
2021-09-11 05:59:58.054741 : Epoch  4, Batch    149, Loss  0.864976, Average Loss  0.871012, Time  0.172596
2021-09-11 05:59:59.694871 : Epoch  4, Batch    150, Loss  0.879809, Average Loss  0.871080, Time  0.174072
2021-09-11 06:00:01.341768 : Epoch  4, Batch    151, Loss  0.853081, Average Loss  0.870914, Time  0.184745
2021-09-11 06:00:03.004767 : Epoch  4, Batch    152, Loss  0.858460, Average Loss  0.870886, Time  0.170096
2021-09-11 06:00:04.620746 : Epoch  4, Batch    153, Loss  0.866926, Average Loss  0.870877, Time  0.176275
2021-09-11 06:00:06.243810 : Epoch  4, Batch    154, Loss  0.882631, Average Loss  0.871051, Time  0.181682
2021-09-11 06:00:07.868733 : Epoch  4, Batch    155, Loss  0.898056, Average Loss  0.871307, Time  0.172816
2021-09-11 06:00:09.482740 : Epoch  4, Batch    156, Loss  0.873898, Average Loss  0.871437, Time  0.170964
2021-09-11 06:00:11.105830 : Epoch  4, Batch    157, Loss  0.858121, Average Loss  0.871252, Time  0.169940
2021-09-11 06:00:12.741738 : Epoch  4, Batch    158, Loss  0.861906, Average Loss  0.871203, Time  0.174421
2021-09-11 06:00:14.380030 : Epoch  4, Batch    159, Loss  0.866341, Average Loss  0.871173, Time  0.170013
2021-09-11 06:00:15.999744 : Epoch  4, Batch    160, Loss  0.866449, Average Loss  0.871213, Time  0.170307
2021-09-11 06:00:17.627751 : Epoch  4, Batch    161, Loss  0.858278, Average Loss  0.871266, Time  0.189540
2021-09-11 06:00:19.272951 : Epoch  4, Batch    162, Loss  0.877644, Average Loss  0.871425, Time  0.190508
2021-09-11 06:00:20.895779 : Epoch  4, Batch    163, Loss  0.894154, Average Loss  0.871325, Time  0.172285
2021-09-11 06:00:22.519734 : Epoch  4, Batch    164, Loss  0.876276, Average Loss  0.871488, Time  0.175912
2021-09-11 06:00:24.153742 : Epoch  4, Batch    165, Loss  0.861460, Average Loss  0.871279, Time  0.180588
2021-09-11 06:00:25.787815 : Epoch  4, Batch    166, Loss  0.863217, Average Loss  0.871256, Time  0.173487
2021-09-11 06:00:27.389737 : Epoch  4, Batch    167, Loss  0.868260, Average Loss  0.871358, Time  0.171319
2021-09-11 06:00:30.200558 : CheckPoint: Validation Loss  0.00030786, Best Loss  0.00029375
2021-09-11 06:00:32.837348 : Epoch  2, Batch   1245, Loss  0.876232, Average Loss  0.870521, Time  0.241268
2021-09-11 06:00:35.484729 : Epoch  2, Batch   1246, Loss  0.871840, Average Loss  0.870493, Time  0.258890
2021-09-11 06:00:38.192918 : Epoch  2, Batch   1247, Loss  0.861317, Average Loss  0.870486, Time  0.271339
2021-09-11 06:00:40.892031 : Epoch  2, Batch   1248, Loss  0.869610, Average Loss  0.870507, Time  0.260510
2021-09-11 06:00:43.601061 : Epoch  2, Batch   1249, Loss  0.855804, Average Loss  0.870476, Time  0.259547
2021-09-11 06:00:46.316153 : Epoch  2, Batch   1250, Loss  0.871081, Average Loss  0.870317, Time  0.261492
2021-09-11 06:00:49.036007 : Epoch  2, Batch   1251, Loss  0.890234, Average Loss  0.870432, Time  0.267667
2021-09-11 06:00:51.789049 : Epoch  2, Batch   1252, Loss  0.870124, Average Loss  0.870438, Time  0.324192
2021-09-11 06:00:53.479703 : CheckPoint: Validation Loss  0.00022307, Best Loss  0.00021858
2021-09-11 06:00:54.459897 : Epoch  2, Batch   1253, Loss  0.867676, Average Loss  0.870450, Time  0.242678
2021-09-11 06:00:55.003208 : Epoch 10, Batch    318, Loss  0.544348, Average Loss  0.544404, Time  0.231586
2021-09-11 06:00:56.676717 : Epoch 10, Batch    319, Loss  0.527070, Average Loss  0.544349, Time  0.250673
2021-09-11 06:00:57.124555 : Epoch  2, Batch   1254, Loss  0.878276, Average Loss  0.870438, Time  0.252906
2021-09-11 06:00:58.268708 : Epoch 10, Batch    320, Loss  0.545341, Average Loss  0.544355, Time  0.236926
2021-09-11 06:00:59.983971 : Epoch  2, Batch   1255, Loss  0.862877, Average Loss  0.870395, Time  0.450021
2021-09-11 06:01:00.056090 : Epoch 10, Batch    321, Loss  0.548751, Average Loss  0.544360, Time  0.398094
2021-09-11 06:01:01.733994 : Epoch 10, Batch    322, Loss  0.546454, Average Loss  0.544366, Time  0.250154
2021-09-11 06:01:02.623400 : Epoch  2, Batch   1256, Loss  0.850463, Average Loss  0.870379, Time  0.239302
2021-09-11 06:01:03.417752 : Epoch 10, Batch    323, Loss  0.539971, Average Loss  0.544344, Time  0.250959
2021-09-11 06:01:04.943308 : Epoch 10, Batch    324, Loss  0.547690, Average Loss  0.544357, Time  0.232179
2021-09-11 06:01:05.255975 : Epoch  2, Batch   1257, Loss  0.885432, Average Loss  0.870433, Time  0.244413
2021-09-11 06:01:06.472353 : Epoch 10, Batch    325, Loss  0.538233, Average Loss  0.544330, Time  0.231537
2021-09-11 06:01:08.053514 : Epoch  2, Batch   1258, Loss  0.865162, Average Loss  0.870412, Time  0.410011
2021-09-11 06:01:08.095552 : Epoch 10, Batch    326, Loss  0.554063, Average Loss  0.544358, Time  0.338681
2021-09-11 06:01:09.616677 : Epoch 10, Batch    327, Loss  0.560182, Average Loss  0.544403, Time  0.232999
2021-09-11 06:01:10.694112 : Epoch  2, Batch   1259, Loss  0.856816, Average Loss  0.870398, Time  0.249462
2021-09-11 06:01:11.205122 : Epoch 10, Batch    328, Loss  0.535424, Average Loss  0.544361, Time  0.236585
2021-09-11 06:01:12.765200 : Epoch 10, Batch    329, Loss  0.533105, Average Loss  0.544279, Time  0.234161
2021-09-11 06:01:13.413562 : Epoch  2, Batch   1260, Loss  0.862795, Average Loss  0.870287, Time  0.250272
2021-09-11 06:01:14.335220 : Epoch 10, Batch    330, Loss  0.539453, Average Loss  0.544219, Time  0.234278
2021-09-11 06:01:15.997423 : Epoch 10, Batch    331, Loss  0.552340, Average Loss  0.544241, Time  0.319904
2021-09-11 06:01:16.134021 : Epoch  2, Batch   1261, Loss  0.869337, Average Loss  0.870171, Time  0.271580
2021-09-11 06:01:17.571121 : Epoch 10, Batch    332, Loss  0.534506, Average Loss  0.544185, Time  0.234748
2021-09-11 06:01:18.818667 : Epoch  2, Batch   1262, Loss  0.861708, Average Loss  0.870140, Time  0.243865
2021-09-11 06:01:19.182771 : Epoch 10, Batch    333, Loss  0.539495, Average Loss  0.544129, Time  0.237373
2021-09-11 06:01:20.782588 : Epoch 10, Batch    334, Loss  0.553577, Average Loss  0.544165, Time  0.235685
2021-09-11 06:01:21.535793 : Epoch  2, Batch   1263, Loss  0.880032, Average Loss  0.870228, Time  0.264906
2021-09-11 06:01:22.349704 : Epoch 10, Batch    335, Loss  0.543334, Average Loss  0.544088, Time  0.236552
2021-09-11 06:01:23.942569 : Epoch 10, Batch    336, Loss  0.538802, Average Loss  0.544116, Time  0.243902
2021-09-11 06:01:24.248269 : Epoch  2, Batch   1264, Loss  0.892881, Average Loss  0.870339, Time  0.261657
2021-09-11 06:01:25.522832 : Epoch 10, Batch    337, Loss  0.547447, Average Loss  0.544072, Time  0.232610
2021-09-11 06:01:27.140125 : Epoch  2, Batch   1265, Loss  0.854350, Average Loss  0.870223, Time  0.431377
2021-09-11 06:01:27.191823 : Epoch 10, Batch    338, Loss  0.552371, Average Loss  0.544090, Time  0.343959
2021-09-11 06:01:28.688907 : Epoch 10, Batch    339, Loss  0.548423, Average Loss  0.544120, Time  0.232031
2021-09-11 06:01:29.860988 : Epoch  2, Batch   1266, Loss  0.867323, Average Loss  0.870201, Time  0.258234
2021-09-11 06:01:30.204274 : Epoch 10, Batch    340, Loss  0.549625, Average Loss  0.544139, Time  0.231581
2021-09-11 06:01:31.786384 : Epoch 10, Batch    341, Loss  0.542068, Average Loss  0.544122, Time  0.234677
2021-09-11 06:01:32.498853 : Epoch  2, Batch   1267, Loss  0.858920, Average Loss  0.870111, Time  0.248291
2021-09-11 06:01:33.325934 : Epoch 10, Batch    342, Loss  0.540151, Average Loss  0.544119, Time  0.232141
2021-09-11 06:01:34.865378 : Epoch 10, Batch    343, Loss  0.543208, Average Loss  0.544159, Time  0.232688
2021-09-11 06:01:35.218998 : Epoch  2, Batch   1268, Loss  0.878523, Average Loss  0.870226, Time  0.258982
2021-09-11 06:01:36.530285 : Epoch 10, Batch    344, Loss  0.548225, Average Loss  0.544171, Time  0.259436
2021-09-11 06:01:37.865126 : Epoch  2, Batch   1269, Loss  0.850260, Average Loss  0.870182, Time  0.240682
2021-09-11 06:01:38.111567 : Epoch 10, Batch    345, Loss  0.539427, Average Loss  0.544160, Time  0.236721
2021-09-11 06:01:39.694893 : Epoch 10, Batch    346, Loss  0.541166, Average Loss  0.544181, Time  0.235813
2021-09-11 06:01:40.521242 : Epoch  2, Batch   1270, Loss  0.883124, Average Loss  0.870270, Time  0.242664
2021-09-11 06:01:41.281487 : Epoch 10, Batch    347, Loss  0.556094, Average Loss  0.544271, Time  0.233560
2021-09-11 06:01:42.835873 : Epoch 10, Batch    348, Loss  0.540758, Average Loss  0.544226, Time  0.232955
2021-09-11 06:01:43.146427 : Epoch  2, Batch   1271, Loss  0.858587, Average Loss  0.870173, Time  0.243407
2021-09-11 06:01:44.532573 : Epoch 10, Batch    349, Loss  0.536064, Average Loss  0.544146, Time  0.252111
2021-09-11 06:01:45.775776 : Epoch  2, Batch   1272, Loss  0.862618, Average Loss  0.870166, Time  0.243493
2021-09-11 06:01:46.236324 : Epoch 10, Batch    350, Loss  0.546520, Average Loss  0.544146, Time  0.253358
2021-09-11 06:01:47.803790 : Epoch 10, Batch    351, Loss  0.545275, Average Loss  0.544167, Time  0.233594
2021-09-11 06:01:48.400416 : Epoch  2, Batch   1273, Loss  0.879073, Average Loss  0.870330, Time  0.245981
2021-09-11 06:01:49.518073 : Epoch 10, Batch    352, Loss  0.566689, Average Loss  0.544298, Time  0.234794
2021-09-11 06:01:51.237251 : Epoch  2, Batch   1274, Loss  0.854084, Average Loss  0.870192, Time  0.453864
2021-09-11 06:01:51.282770 : Epoch 10, Batch    353, Loss  0.540637, Average Loss  0.544209, Time  0.410479
2021-09-11 06:01:52.818111 : Epoch 10, Batch    354, Loss  0.542599, Average Loss  0.544153, Time  0.231179
2021-09-11 06:01:53.889885 : Epoch  2, Batch   1275, Loss  0.878504, Average Loss  0.870155, Time  0.244289
2021-09-11 06:01:54.503186 : Epoch 10, Batch    355, Loss  0.539695, Average Loss  0.544149, Time  0.251153
2021-09-11 06:01:56.063162 : Epoch 10, Batch    356, Loss  0.542129, Average Loss  0.544156, Time  0.233202
2021-09-11 06:01:56.516386 : Epoch  2, Batch   1276, Loss  0.888740, Average Loss  0.870317, Time  0.242921
2021-09-11 06:01:57.601773 : Epoch 10, Batch    357, Loss  0.534861, Average Loss  0.544114, Time  0.232006
2021-09-11 06:01:59.300215 : Epoch  2, Batch   1277, Loss  0.869598, Average Loss  0.870381, Time  0.399876
2021-09-11 06:01:59.377811 : Epoch 10, Batch    358, Loss  0.547662, Average Loss  0.544134, Time  0.349995
2021-09-11 06:02:01.064700 : Epoch 10, Batch    359, Loss  0.540386, Average Loss  0.544172, Time  0.250585
2021-09-11 06:02:01.912751 : Epoch  2, Batch   1278, Loss  0.862728, Average Loss  0.870375, Time  0.244160
2021-09-11 06:02:02.623144 : Epoch 10, Batch    360, Loss  0.539060, Average Loss  0.544127, Time  0.236180
2021-09-11 06:02:04.219801 : Epoch 10, Batch    361, Loss  0.536385, Average Loss  0.544090, Time  0.240104
2021-09-11 06:02:04.577096 : Epoch  2, Batch   1279, Loss  0.859141, Average Loss  0.870434, Time  0.244498
2021-09-11 06:02:05.824871 : Epoch 10, Batch    362, Loss  0.546083, Average Loss  0.544052, Time  0.235918
2021-09-11 06:02:07.388225 : Epoch  2, Batch   1280, Loss  0.871723, Average Loss  0.870374, Time  0.379739
2021-09-11 06:02:07.462386 : Epoch 10, Batch    363, Loss  0.539444, Average Loss  0.544074, Time  0.295825
2021-09-11 06:02:09.032747 : Epoch 10, Batch    364, Loss  0.533367, Average Loss  0.543994, Time  0.232760
2021-09-11 06:02:10.038149 : Epoch  2, Batch   1281, Loss  0.864187, Average Loss  0.870412, Time  0.237873
2021-09-11 06:02:10.605120 : Epoch 10, Batch    365, Loss  0.550322, Average Loss  0.544017, Time  0.242313
2021-09-11 06:02:12.144027 : Epoch 10, Batch    366, Loss  0.539503, Average Loss  0.543929, Time  0.240061
2021-09-11 06:02:12.747959 : Epoch  2, Batch   1282, Loss  0.889171, Average Loss  0.870463, Time  0.267818
2021-09-11 06:02:13.678211 : Epoch 10, Batch    367, Loss  0.551371, Average Loss  0.544018, Time  0.233135
2021-09-11 06:02:15.561331 : Epoch  2, Batch   1283, Loss  0.879498, Average Loss  0.870555, Time  0.451166
2021-09-11 06:02:15.609385 : Epoch 10, Batch    368, Loss  0.543563, Average Loss  0.543992, Time  0.471276
2021-09-11 06:02:17.183924 : Epoch 10, Batch    369, Loss  0.526001, Average Loss  0.543887, Time  0.235841
2021-09-11 06:02:18.272846 : Epoch  2, Batch   1284, Loss  0.884037, Average Loss  0.870621, Time  0.241932
2021-09-11 06:02:18.779131 : Epoch 10, Batch    370, Loss  0.539459, Average Loss  0.543905, Time  0.235914
2021-09-11 06:02:20.467965 : Epoch 10, Batch    371, Loss  0.539336, Average Loss  0.543884, Time  0.251410
2021-09-11 06:02:20.932243 : Epoch  2, Batch   1285, Loss  0.890385, Average Loss  0.870805, Time  0.240121
2021-09-11 06:02:22.162788 : Epoch 10, Batch    372, Loss  0.540286, Average Loss  0.543884, Time  0.251346
2021-09-11 06:02:23.575787 : Epoch  2, Batch   1286, Loss  0.864338, Average Loss  0.870882, Time  0.241591
2021-09-11 06:02:23.838009 : Epoch 10, Batch    373, Loss  0.537185, Average Loss  0.543870, Time  0.250457
2021-09-11 06:02:25.418234 : Epoch 10, Batch    374, Loss  0.543582, Average Loss  0.543877, Time  0.231306
2021-09-11 06:02:26.242779 : Epoch  2, Batch   1287, Loss  0.874859, Average Loss  0.870916, Time  0.244457
2021-09-11 06:02:27.079753 : Epoch 10, Batch    375, Loss  0.542592, Average Loss  0.543875, Time  0.250474
2021-09-11 06:02:28.967949 : Epoch 10, Batch    376, Loss  0.530622, Average Loss  0.543801, Time  0.435630
2021-09-11 06:02:29.015064 : Epoch  2, Batch   1288, Loss  0.874186, Average Loss  0.870850, Time  0.362821
2021-09-11 06:02:30.639884 : Epoch 10, Batch    377, Loss  0.551742, Average Loss  0.543837, Time  0.250732
2021-09-11 06:02:31.604797 : Epoch  2, Batch   1289, Loss  0.886639, Average Loss  0.870900, Time  0.239053
2021-09-11 06:02:32.319696 : Epoch 10, Batch    378, Loss  0.546301, Average Loss  0.543789, Time  0.249975
2021-09-11 06:02:33.978540 : Epoch 10, Batch    379, Loss  0.559244, Average Loss  0.543886, Time  0.252973
2021-09-11 06:02:34.241794 : Epoch  2, Batch   1290, Loss  0.849300, Average Loss  0.870828, Time  0.257751
2021-09-11 06:02:35.539206 : Epoch 10, Batch    380, Loss  0.548538, Average Loss  0.543937, Time  0.232487
2021-09-11 06:02:37.113991 : Epoch  2, Batch   1291, Loss  0.861548, Average Loss  0.870712, Time  0.421784
2021-09-11 06:02:37.165958 : Epoch 10, Batch    381, Loss  0.543793, Average Loss  0.543965, Time  0.332383
2021-09-11 06:02:38.757461 : Epoch 10, Batch    382, Loss  0.545469, Average Loss  0.544019, Time  0.232494
2021-09-11 06:02:39.773738 : Epoch  2, Batch   1292, Loss  0.873811, Average Loss  0.870654, Time  0.240684
2021-09-11 06:02:40.430720 : Epoch 10, Batch    383, Loss  0.550988, Average Loss  0.544070, Time  0.250677
2021-09-11 06:02:42.104888 : Epoch 10, Batch    384, Loss  0.545114, Average Loss  0.544055, Time  0.250020
2021-09-11 06:02:42.436983 : Epoch  2, Batch   1293, Loss  0.866217, Average Loss  0.870621, Time  0.267298
2021-09-11 06:02:43.724035 : Epoch 10, Batch    385, Loss  0.546286, Average Loss  0.544077, Time  0.251330
2021-09-11 06:02:45.111202 : Epoch  2, Batch   1294, Loss  0.878274, Average Loss  0.870679, Time  0.244978
2021-09-11 06:02:45.392087 : Epoch 10, Batch    386, Loss  0.528362, Average Loss  0.544008, Time  0.251295
2021-09-11 06:02:46.922312 : Epoch 10, Batch    387, Loss  0.557280, Average Loss  0.544040, Time  0.232092
2021-09-11 06:02:47.731597 : Epoch  2, Batch   1295, Loss  0.872875, Average Loss  0.870639, Time  0.244808
2021-09-11 06:02:50.380213 : Epoch  2, Batch   1296, Loss  0.860351, Average Loss  0.870661, Time  0.260510
2021-09-11 06:02:51.357118 : Epoch 10, Batch    388, Loss  0.544764, Average Loss  0.544033, Time  0.231619
2021-09-11 06:02:52.948793 : Epoch 10, Batch    389, Loss  0.553901, Average Loss  0.544046, Time  0.312382
2021-09-11 06:02:53.114100 : Epoch  2, Batch   1297, Loss  0.852773, Average Loss  0.870540, Time  0.289012
2021-09-11 06:02:54.458968 : Epoch 10, Batch    390, Loss  0.556738, Average Loss  0.544067, Time  0.231036
2021-09-11 06:02:55.753981 : Epoch  2, Batch   1298, Loss  0.889624, Average Loss  0.870684, Time  0.245663
2021-09-11 06:02:55.972767 : Epoch 10, Batch    391, Loss  0.543188, Average Loss  0.544078, Time  0.234230
2021-09-11 06:02:57.548955 : Epoch 10, Batch    392, Loss  0.548376, Average Loss  0.544048, Time  0.234898
2021-09-11 06:02:58.422820 : Epoch  2, Batch   1299, Loss  0.855717, Average Loss  0.870599, Time  0.247910
2021-09-11 06:02:59.097703 : Epoch 10, Batch    393, Loss  0.552810, Average Loss  0.544110, Time  0.234605
2021-09-11 06:03:00.689153 : Epoch 10, Batch    394, Loss  0.542096, Average Loss  0.544072, Time  0.235146
2021-09-11 06:03:01.096889 : Epoch  2, Batch   1300, Loss  0.848322, Average Loss  0.870438, Time  0.244211
2021-09-11 06:03:02.272949 : Epoch 10, Batch    395, Loss  0.544687, Average Loss  0.544102, Time  0.238025
2021-09-11 06:03:03.954419 : Epoch  2, Batch   1301, Loss  0.857306, Average Loss  0.870268, Time  0.443780
2021-09-11 06:03:04.009291 : Epoch 10, Batch    396, Loss  0.533828, Average Loss  0.544097, Time  0.371623
2021-09-11 06:03:05.700696 : Epoch 10, Batch    397, Loss  0.541756, Average Loss  0.544074, Time  0.250202
2021-09-11 06:03:06.580036 : Epoch  2, Batch   1302, Loss  0.869323, Average Loss  0.870299, Time  0.240984
2021-09-11 06:03:07.385830 : Epoch 10, Batch    398, Loss  0.546868, Average Loss  0.544109, Time  0.251521
2021-09-11 06:03:09.206428 : Epoch 10, Batch    399, Loss  0.544458, Average Loss  0.544097, Time  0.370260
2021-09-11 06:03:09.290010 : Epoch  2, Batch   1303, Loss  0.881436, Average Loss  0.870396, Time  0.302002
2021-09-11 06:03:10.764239 : Epoch 10, Batch    400, Loss  0.550251, Average Loss  0.544137, Time  0.236079
2021-09-11 06:03:12.012978 : Epoch  2, Batch   1304, Loss  0.885148, Average Loss  0.870457, Time  0.264782
2021-09-11 06:03:12.337433 : Epoch 10, Batch    401, Loss  0.540277, Average Loss  0.544002, Time  0.241930
2021-09-11 06:03:13.902073 : Epoch 10, Batch    402, Loss  0.561547, Average Loss  0.544100, Time  0.237181
2021-09-11 06:03:14.691013 : Epoch  2, Batch   1305, Loss  0.877255, Average Loss  0.870485, Time  0.245842
2021-09-11 06:03:15.464193 : Epoch 10, Batch    403, Loss  0.545066, Average Loss  0.544087, Time  0.236562
2021-09-11 06:03:17.139140 : Epoch 10, Batch    404, Loss  0.539594, Average Loss  0.544075, Time  0.251770
2021-09-11 06:03:17.344764 : Epoch  2, Batch   1306, Loss  0.874402, Average Loss  0.870476, Time  0.250510
2021-09-11 06:03:18.817786 : Epoch 10, Batch    405, Loss  0.558027, Average Loss  0.544193, Time  0.250423
2021-09-11 06:03:20.008889 : Epoch  2, Batch   1307, Loss  0.853262, Average Loss  0.870417, Time  0.242953
2021-09-11 06:03:20.515000 : Epoch 10, Batch    406, Loss  0.539308, Average Loss  0.544117, Time  0.251801
2021-09-11 06:03:22.047985 : Epoch 10, Batch    407, Loss  0.545717, Average Loss  0.544094, Time  0.233122
2021-09-11 06:03:22.631844 : Epoch  2, Batch   1308, Loss  0.884192, Average Loss  0.870538, Time  0.242764
2021-09-11 06:03:23.730225 : Epoch 10, Batch    408, Loss  0.548966, Average Loss  0.544222, Time  0.236500
2021-09-11 06:03:25.481042 : Epoch 10, Batch    409, Loss  0.549010, Average Loss  0.544238, Time  0.452000
2021-09-11 06:03:25.538792 : Epoch  2, Batch   1309, Loss  0.843049, Average Loss  0.870411, Time  0.457964
2021-09-11 06:03:27.058399 : Epoch 10, Batch    410, Loss  0.541168, Average Loss  0.544235, Time  0.235176
2021-09-11 06:03:28.153429 : Epoch  2, Batch   1310, Loss  0.875101, Average Loss  0.870412, Time  0.243022
2021-09-11 06:03:28.737731 : Epoch 10, Batch    411, Loss  0.549000, Average Loss  0.544220, Time  0.250405
2021-09-11 06:03:30.325944 : Epoch 10, Batch    412, Loss  0.542940, Average Loss  0.544192, Time  0.237181
2021-09-11 06:03:30.769821 : Epoch  2, Batch   1311, Loss  0.874149, Average Loss  0.870362, Time  0.241026
2021-09-11 06:03:31.925069 : Epoch 10, Batch    413, Loss  0.537652, Average Loss  0.544124, Time  0.236399
2021-09-11 06:03:33.384056 : Epoch  2, Batch   1312, Loss  0.857546, Average Loss  0.870411, Time  0.242002
2021-09-11 06:03:33.619807 : Epoch 10, Batch    414, Loss  0.544720, Average Loss  0.544193, Time  0.253848
2021-09-11 06:03:35.138456 : Epoch 10, Batch    415, Loss  0.542015, Average Loss  0.544203, Time  0.231464
2021-09-11 06:03:35.998115 : Epoch  2, Batch   1313, Loss  0.851982, Average Loss  0.870279, Time  0.242196
2021-09-11 06:03:36.807021 : Epoch 10, Batch    416, Loss  0.543704, Average Loss  0.544259, Time  0.250483
2021-09-11 06:03:38.655816 : Epoch 10, Batch    417, Loss  0.547259, Average Loss  0.544231, Time  0.405358
2021-09-11 06:03:38.710357 : Epoch  2, Batch   1314, Loss  0.877272, Average Loss  0.870338, Time  0.340941
2021-09-11 06:03:41.329936 : Epoch  2, Batch   1315, Loss  0.869349, Average Loss  0.870257, Time  0.239071
2021-09-11 06:03:43.962893 : Epoch  2, Batch   1316, Loss  0.863831, Average Loss  0.870214, Time  0.243945
2021-09-11 06:03:46.586729 : Epoch  2, Batch   1317, Loss  0.875681, Average Loss  0.870234, Time  0.242773
2021-09-11 06:03:49.202941 : Epoch  2, Batch   1318, Loss  0.867262, Average Loss  0.870211, Time  0.242639
2021-09-11 06:03:51.872012 : Epoch  2, Batch   1319, Loss  0.872864, Average Loss  0.870251, Time  0.247047
2021-09-11 06:03:54.507773 : Epoch  2, Batch   1320, Loss  0.846701, Average Loss  0.870088, Time  0.242459
2021-09-11 06:03:57.183028 : Epoch  2, Batch   1321, Loss  0.876241, Average Loss  0.870128, Time  0.313738
2021-09-11 06:03:59.800855 : Epoch  2, Batch   1322, Loss  0.877287, Average Loss  0.870143, Time  0.246966
2021-09-11 06:04:02.414095 : Epoch  2, Batch   1323, Loss  0.867686, Average Loss  0.870150, Time  0.245516
2021-09-11 06:04:05.052238 : Epoch  2, Batch   1324, Loss  0.876221, Average Loss  0.870295, Time  0.242187
2021-09-11 06:04:07.656802 : Epoch  2, Batch   1325, Loss  0.889946, Average Loss  0.870420, Time  0.244705
2021-09-11 06:04:10.318898 : Epoch  2, Batch   1326, Loss  0.885045, Average Loss  0.870534, Time  0.264403
2021-09-11 06:04:12.949360 : Epoch  2, Batch   1327, Loss  0.864873, Average Loss  0.870450, Time  0.239264
2021-09-11 06:04:15.571832 : Epoch  2, Batch   1328, Loss  0.872441, Average Loss  0.870464, Time  0.246764
2021-09-11 06:04:18.309746 : Epoch  2, Batch   1329, Loss  0.869732, Average Loss  0.870311, Time  0.265560
2021-09-11 06:04:21.015046 : Epoch  2, Batch   1330, Loss  0.871624, Average Loss  0.870431, Time  0.260618
2021-09-11 06:04:23.807985 : Epoch  2, Batch   1331, Loss  0.858216, Average Loss  0.870393, Time  0.339761
2021-09-11 06:04:26.557745 : Epoch  2, Batch   1332, Loss  0.864923, Average Loss  0.870398, Time  0.311820
2021-09-11 06:04:29.244979 : Epoch  2, Batch   1333, Loss  0.872599, Average Loss  0.870441, Time  0.242808
2021-09-11 06:04:31.908389 : Epoch  2, Batch   1334, Loss  0.877680, Average Loss  0.870532, Time  0.244746
2021-09-11 06:04:34.581240 : Epoch  2, Batch   1335, Loss  0.854388, Average Loss  0.870378, Time  0.242799
2021-09-11 06:04:37.168736 : CheckPoint: Validation Loss  0.00022900, Best Loss  0.00021858
2021-09-11 06:04:37.308947 : Epoch  2, Batch   1336, Loss  0.856599, Average Loss  0.870335, Time  0.269176
2021-09-11 06:04:38.705057 : Epoch 10, Batch    418, Loss  0.535300, Average Loss  0.544218, Time  0.231893
2021-09-11 06:04:39.974036 : Epoch  2, Batch   1337, Loss  0.859683, Average Loss  0.870212, Time  0.242924
2021-09-11 06:04:40.376777 : Epoch 10, Batch    419, Loss  0.534392, Average Loss  0.544240, Time  0.250215
2021-09-11 06:04:42.072396 : Epoch 10, Batch    420, Loss  0.543941, Average Loss  0.544186, Time  0.251407
2021-09-11 06:04:42.616887 : Epoch  2, Batch   1338, Loss  0.866072, Average Loss  0.870255, Time  0.245010
2021-09-11 06:04:43.610369 : Epoch 10, Batch    421, Loss  0.560853, Average Loss  0.544278, Time  0.233134
2021-09-11 06:04:45.348167 : Epoch 10, Batch    422, Loss  0.543737, Average Loss  0.544301, Time  0.433529
2021-09-11 06:04:45.392801 : Epoch  2, Batch   1339, Loss  0.862864, Average Loss  0.870249, Time  0.375266
2021-09-11 06:04:46.871904 : Epoch 10, Batch    423, Loss  0.532689, Average Loss  0.544218, Time  0.234774
2021-09-11 06:04:47.998056 : Epoch  2, Batch   1340, Loss  0.854016, Average Loss  0.870175, Time  0.241194
2021-09-11 06:04:48.402864 : Epoch 10, Batch    424, Loss  0.546546, Average Loss  0.544233, Time  0.235532
2021-09-11 06:04:49.918709 : Epoch 10, Batch    425, Loss  0.552147, Average Loss  0.544298, Time  0.231557
2021-09-11 06:04:50.710961 : Epoch  2, Batch   1341, Loss  0.876589, Average Loss  0.870246, Time  0.246796
2021-09-11 06:04:51.421685 : Epoch 10, Batch    426, Loss  0.536836, Average Loss  0.544291, Time  0.231341
2021-09-11 06:04:53.081027 : Epoch 10, Batch    427, Loss  0.540734, Average Loss  0.544289, Time  0.250577
2021-09-11 06:04:53.326774 : Epoch  2, Batch   1342, Loss  0.883174, Average Loss  0.870275, Time  0.242153
2021-09-11 06:04:54.768776 : Epoch 10, Batch    428, Loss  0.546864, Average Loss  0.544345, Time  0.251477
2021-09-11 06:04:55.984296 : Epoch  2, Batch   1343, Loss  0.871505, Average Loss  0.870230, Time  0.258385
2021-09-11 06:04:56.374687 : Epoch 10, Batch    429, Loss  0.541433, Average Loss  0.544272, Time  0.249509
2021-09-11 06:04:58.038765 : Epoch 10, Batch    430, Loss  0.540506, Average Loss  0.544659, Time  0.250283
2021-09-11 06:04:58.603375 : Epoch  2, Batch   1344, Loss  0.864093, Average Loss  0.870098, Time  0.240225
2021-09-11 06:04:59.707038 : Epoch 10, Batch    431, Loss  0.551638, Average Loss  0.544690, Time  0.251689
2021-09-11 06:05:01.232760 : Epoch 10, Batch    432, Loss  0.549877, Average Loss  0.544755, Time  0.231554
2021-09-11 06:05:02.819876 : Epoch 10, Batch    433, Loss  0.545383, Average Loss  0.544802, Time  0.234607
2021-09-11 06:05:04.373314 : Epoch 10, Batch    434, Loss  0.545807, Average Loss  0.544754, Time  0.234451
2021-09-11 06:05:05.940823 : Epoch 10, Batch    435, Loss  0.540895, Average Loss  0.544741, Time  0.237090
2021-09-11 06:05:07.376062 : CheckPoint: Validation Loss  0.00060464, Best Loss  0.00057296
2021-09-11 06:05:07.494161 : Epoch 10, Batch    436, Loss  0.538944, Average Loss  0.544708, Time  0.234272
2021-09-11 06:05:09.001814 : Epoch  4, Batch    168, Loss  0.872373, Average Loss  0.871496, Time  0.181301
2021-09-11 06:05:09.060935 : Epoch 10, Batch    437, Loss  0.542373, Average Loss  0.544681, Time  0.237173
2021-09-11 06:05:10.628779 : Epoch  4, Batch    169, Loss  0.854563, Average Loss  0.871558, Time  0.173644
2021-09-11 06:05:10.665937 : Epoch 10, Batch    438, Loss  0.520276, Average Loss  0.544519, Time  0.233627
2021-09-11 06:05:12.232261 : Epoch 10, Batch    439, Loss  0.541804, Average Loss  0.544472, Time  0.237062
2021-09-11 06:05:12.249810 : Epoch  4, Batch    170, Loss  0.849084, Average Loss  0.871380, Time  0.172243
2021-09-11 06:05:13.800117 : Epoch 10, Batch    440, Loss  0.537725, Average Loss  0.544418, Time  0.231624
2021-09-11 06:05:13.891747 : Epoch  4, Batch    171, Loss  0.865591, Average Loss  0.871441, Time  0.169937
2021-09-11 06:05:15.325827 : Epoch 10, Batch    441, Loss  0.554319, Average Loss  0.544466, Time  0.231554
2021-09-11 06:05:15.527854 : Epoch  4, Batch    172, Loss  0.840507, Average Loss  0.871095, Time  0.176433
2021-09-11 06:05:16.985780 : Epoch 10, Batch    442, Loss  0.546107, Average Loss  0.544471, Time  0.250083
2021-09-11 06:05:17.162031 : Epoch  4, Batch    173, Loss  0.873603, Average Loss  0.871020, Time  0.175656
2021-09-11 06:05:18.550180 : Epoch 10, Batch    443, Loss  0.536159, Average Loss  0.544407, Time  0.240278
2021-09-11 06:05:18.790929 : Epoch  4, Batch    174, Loss  0.867793, Average Loss  0.870900, Time  0.169862
2021-09-11 06:05:20.161587 : Epoch 10, Batch    444, Loss  0.555281, Average Loss  0.544490, Time  0.237279
2021-09-11 06:05:20.424825 : Epoch  4, Batch    175, Loss  0.873623, Average Loss  0.871050, Time  0.170025
2021-09-11 06:05:21.713483 : Epoch 10, Batch    445, Loss  0.537763, Average Loss  0.544488, Time  0.234834
2021-09-11 06:05:22.086774 : Epoch  4, Batch    176, Loss  0.860994, Average Loss  0.871093, Time  0.179870
2021-09-11 06:05:23.280056 : Epoch 10, Batch    446, Loss  0.534677, Average Loss  0.544418, Time  0.238575
2021-09-11 06:05:23.733030 : Epoch  4, Batch    177, Loss  0.871683, Average Loss  0.871013, Time  0.179667
2021-09-11 06:05:24.952943 : Epoch 10, Batch    447, Loss  0.557009, Average Loss  0.544458, Time  0.252163
2021-09-11 06:05:25.363846 : Epoch  4, Batch    178, Loss  0.862580, Average Loss  0.870951, Time  0.175141
2021-09-11 06:05:26.523181 : Epoch 10, Batch    448, Loss  0.542423, Average Loss  0.544444, Time  0.240351
2021-09-11 06:05:26.988860 : Epoch  4, Batch    179, Loss  0.871333, Average Loss  0.871067, Time  0.172571
2021-09-11 06:05:28.067925 : Epoch 10, Batch    449, Loss  0.550816, Average Loss  0.544517, Time  0.238559
2021-09-11 06:05:28.613752 : Epoch  4, Batch    180, Loss  0.887103, Average Loss  0.871101, Time  0.169837
2021-09-11 06:05:29.624671 : Epoch 10, Batch    450, Loss  0.556075, Average Loss  0.544569, Time  0.245133
2021-09-11 06:05:30.252747 : Epoch  4, Batch    181, Loss  0.865828, Average Loss  0.870964, Time  0.174354
2021-09-11 06:05:31.178842 : Epoch 10, Batch    451, Loss  0.541713, Average Loss  0.544560, Time  0.241484
2021-09-11 06:05:31.866761 : Epoch  4, Batch    182, Loss  0.852435, Average Loss  0.870882, Time  0.170068
2021-09-11 06:05:32.753256 : Epoch 10, Batch    452, Loss  0.535523, Average Loss  0.544532, Time  0.270150
2021-09-11 06:05:33.507758 : Epoch  4, Batch    183, Loss  0.897254, Average Loss  0.870939, Time  0.170653
2021-09-11 06:05:34.397354 : Epoch 10, Batch    453, Loss  0.536108, Average Loss  0.544394, Time  0.237616
2021-09-11 06:05:35.143794 : Epoch  4, Batch    184, Loss  0.845468, Average Loss  0.870754, Time  0.178350
2021-09-11 06:05:35.947302 : Epoch 10, Batch    454, Loss  0.545630, Average Loss  0.544348, Time  0.232309
2021-09-11 06:05:36.764037 : Epoch  4, Batch    185, Loss  0.871632, Average Loss  0.870817, Time  0.172085
2021-09-11 06:05:37.630517 : Epoch 10, Batch    455, Loss  0.552640, Average Loss  0.544368, Time  0.251396
2021-09-11 06:05:38.377023 : Epoch  4, Batch    186, Loss  0.897223, Average Loss  0.870940, Time  0.180593
2021-09-11 06:05:39.322708 : Epoch 10, Batch    456, Loss  0.542723, Average Loss  0.544369, Time  0.251709
2021-09-11 06:05:40.018772 : Epoch  4, Batch    187, Loss  0.863941, Average Loss  0.870877, Time  0.181384
2021-09-11 06:05:40.867303 : Epoch 10, Batch    457, Loss  0.545474, Average Loss  0.544405, Time  0.232532
2021-09-11 06:05:41.647027 : Epoch  4, Batch    188, Loss  0.857566, Average Loss  0.870896, Time  0.173648
2021-09-11 06:05:42.401781 : Epoch 10, Batch    458, Loss  0.538559, Average Loss  0.544381, Time  0.231439
2021-09-11 06:05:43.251807 : Epoch  4, Batch    189, Loss  0.871453, Average Loss  0.870909, Time  0.170925
2021-09-11 06:05:44.098015 : Epoch 10, Batch    459, Loss  0.536358, Average Loss  0.544422, Time  0.256106
2021-09-11 06:05:44.899765 : Epoch  4, Batch    190, Loss  0.891336, Average Loss  0.871001, Time  0.174781
2021-09-11 06:05:45.776693 : Epoch 10, Batch    460, Loss  0.546889, Average Loss  0.544414, Time  0.254849
2021-09-11 06:05:46.540927 : Epoch  4, Batch    191, Loss  0.841782, Average Loss  0.870744, Time  0.170740
2021-09-11 06:05:47.444028 : Epoch 10, Batch    461, Loss  0.531957, Average Loss  0.544382, Time  0.250607
2021-09-11 06:05:48.162795 : Epoch  4, Batch    192, Loss  0.860354, Average Loss  0.870612, Time  0.169907
2021-09-11 06:05:49.112765 : Epoch 10, Batch    462, Loss  0.545872, Average Loss  0.544376, Time  0.250102
2021-09-11 06:05:49.780738 : Epoch  4, Batch    193, Loss  0.863169, Average Loss  0.870540, Time  0.170089
2021-09-11 06:05:50.784958 : Epoch 10, Batch    463, Loss  0.545695, Average Loss  0.544368, Time  0.250749
2021-09-11 06:05:51.398824 : Epoch  4, Batch    194, Loss  0.878603, Average Loss  0.870572, Time  0.169838
2021-09-11 06:05:52.501207 : Epoch 10, Batch    464, Loss  0.541144, Average Loss  0.544351, Time  0.250997
2021-09-11 06:05:53.015726 : Epoch  4, Batch    195, Loss  0.837856, Average Loss  0.870400, Time  0.175985
2021-09-11 06:05:54.251690 : Epoch 10, Batch    465, Loss  0.538173, Average Loss  0.544283, Time  0.334927
2021-09-11 06:05:54.591251 : Epoch  4, Batch    196, Loss  0.875585, Average Loss  0.870533, Time  0.172135
2021-09-11 06:05:55.817427 : Epoch 10, Batch    466, Loss  0.544939, Average Loss  0.544244, Time  0.236759
2021-09-11 06:05:56.224035 : Epoch  4, Batch    197, Loss  0.849919, Average Loss  0.870523, Time  0.174103
2021-09-11 06:05:57.397080 : Epoch 10, Batch    467, Loss  0.538097, Average Loss  0.544247, Time  0.253335
2021-09-11 06:05:57.841766 : Epoch  4, Batch    198, Loss  0.857200, Average Loss  0.870411, Time  0.170358
2021-09-11 06:05:59.089124 : Epoch 10, Batch    468, Loss  0.548446, Average Loss  0.544342, Time  0.262094
2021-09-11 06:05:59.480042 : Epoch  4, Batch    199, Loss  0.844178, Average Loss  0.870257, Time  0.181918
2021-09-11 06:06:00.645812 : Epoch 10, Batch    469, Loss  0.544942, Average Loss  0.544356, Time  0.252805
2021-09-11 06:06:01.097774 : Epoch  4, Batch    200, Loss  0.868120, Average Loss  0.870341, Time  0.173518
2021-09-11 06:06:02.192712 : Epoch 10, Batch    470, Loss  0.539287, Average Loss  0.544344, Time  0.233006
2021-09-11 06:06:02.742033 : Epoch  4, Batch    201, Loss  0.874713, Average Loss  0.870477, Time  0.178179
2021-09-11 06:06:03.791988 : Epoch 10, Batch    471, Loss  0.552616, Average Loss  0.544363, Time  0.312312
2021-09-11 06:06:04.380755 : Epoch  4, Batch    202, Loss  0.868978, Average Loss  0.870425, Time  0.177298
2021-09-11 06:06:05.300712 : Epoch 10, Batch    472, Loss  0.532000, Average Loss  0.544321, Time  0.230678
2021-09-11 06:06:05.999791 : Epoch  4, Batch    203, Loss  0.843544, Average Loss  0.870353, Time  0.172374
2021-09-11 06:06:06.982811 : Epoch 10, Batch    473, Loss  0.549783, Average Loss  0.544280, Time  0.250929
2021-09-11 06:06:07.618741 : Epoch  4, Batch    204, Loss  0.866452, Average Loss  0.870289, Time  0.173500
2021-09-11 06:06:08.677773 : Epoch 10, Batch    474, Loss  0.536194, Average Loss  0.544248, Time  0.292206
2021-09-11 06:06:09.238766 : Epoch  4, Batch    205, Loss  0.898188, Average Loss  0.870578, Time  0.169961
2021-09-11 06:06:10.344796 : Epoch 10, Batch    475, Loss  0.528206, Average Loss  0.544138, Time  0.253094
2021-09-11 06:06:10.874827 : Epoch  4, Batch    206, Loss  0.867314, Average Loss  0.870595, Time  0.182008
2021-09-11 06:06:11.962905 : Epoch 10, Batch    476, Loss  0.536122, Average Loss  0.544161, Time  0.237901
2021-09-11 06:06:12.491756 : Epoch  4, Batch    207, Loss  0.873844, Average Loss  0.870605, Time  0.183749
2021-09-11 06:06:13.533976 : Epoch 10, Batch    477, Loss  0.549129, Average Loss  0.544130, Time  0.235895
2021-09-11 06:06:14.118745 : Epoch  4, Batch    208, Loss  0.839806, Average Loss  0.870543, Time  0.173767
2021-09-11 06:06:15.135065 : Epoch 10, Batch    478, Loss  0.542000, Average Loss  0.544102, Time  0.254511
2021-09-11 06:06:15.741027 : Epoch  4, Batch    209, Loss  0.897641, Average Loss  0.870828, Time  0.171152
2021-09-11 06:06:16.674853 : Epoch 10, Batch    479, Loss  0.534473, Average Loss  0.544089, Time  0.232744
2021-09-11 06:06:17.361025 : Epoch  4, Batch    210, Loss  0.836053, Average Loss  0.870688, Time  0.170221
2021-09-11 06:06:18.200640 : Epoch 10, Batch    480, Loss  0.530304, Average Loss  0.543964, Time  0.231974
2021-09-11 06:06:18.988740 : Epoch  4, Batch    211, Loss  0.850943, Average Loss  0.870611, Time  0.171056
2021-09-11 06:06:19.728788 : Epoch 10, Batch    481, Loss  0.541387, Average Loss  0.543969, Time  0.231910
2021-09-11 06:06:20.619862 : Epoch  4, Batch    212, Loss  0.850476, Average Loss  0.870465, Time  0.177131
2021-09-11 06:06:21.270826 : Epoch 10, Batch    482, Loss  0.525775, Average Loss  0.543853, Time  0.232131
2021-09-11 06:06:22.276027 : Epoch  4, Batch    213, Loss  0.859076, Average Loss  0.870507, Time  0.176545
2021-09-11 06:06:22.868777 : Epoch 10, Batch    483, Loss  0.537283, Average Loss  0.543803, Time  0.312354
2021-09-11 06:06:23.909749 : Epoch  4, Batch    214, Loss  0.873831, Average Loss  0.870671, Time  0.175223
2021-09-11 06:06:24.533691 : Epoch 10, Batch    484, Loss  0.540702, Average Loss  0.543754, Time  0.250071
2021-09-11 06:06:25.539793 : Epoch  4, Batch    215, Loss  0.877692, Average Loss  0.870845, Time  0.178633
2021-09-11 06:06:26.197655 : Epoch 10, Batch    485, Loss  0.542693, Average Loss  0.543769, Time  0.250663
2021-09-11 06:06:27.145812 : Epoch  4, Batch    216, Loss  0.870947, Average Loss  0.870863, Time  0.170474
2021-09-11 06:06:27.755738 : Epoch 10, Batch    486, Loss  0.560004, Average Loss  0.543826, Time  0.234940
2021-09-11 06:06:28.780751 : Epoch  4, Batch    217, Loss  0.863475, Average Loss  0.870755, Time  0.173817
2021-09-11 06:06:29.310106 : Epoch 10, Batch    487, Loss  0.571711, Average Loss  0.544007, Time  0.234489
2021-09-11 06:06:30.400787 : Epoch  4, Batch    218, Loss  0.886227, Average Loss  0.870904, Time  0.170054
2021-09-11 06:06:32.026743 : Epoch  4, Batch    219, Loss  0.874367, Average Loss  0.870994, Time  0.176290
2021-09-11 06:06:33.617820 : Epoch 10, Batch    488, Loss  0.539880, Average Loss  0.543933, Time  0.240781
2021-09-11 06:06:33.696036 : Epoch  4, Batch    220, Loss  0.854029, Average Loss  0.870945, Time  0.170467
2021-09-11 06:06:35.171974 : Epoch 10, Batch    489, Loss  0.543082, Average Loss  0.543844, Time  0.233185
2021-09-11 06:06:35.339756 : Epoch  4, Batch    221, Loss  0.885277, Average Loss  0.871022, Time  0.170027
2021-09-11 06:06:36.707959 : Epoch 10, Batch    490, Loss  0.547243, Average Loss  0.543809, Time  0.232905
2021-09-11 06:06:36.978027 : Epoch  4, Batch    222, Loss  0.867293, Average Loss  0.871077, Time  0.173878
2021-09-11 06:06:38.262001 : Epoch 10, Batch    491, Loss  0.550923, Average Loss  0.543784, Time  0.234901
2021-09-11 06:06:38.611751 : Epoch  4, Batch    223, Loss  0.859162, Average Loss  0.871121, Time  0.170542
2021-09-11 06:06:39.821438 : Epoch 10, Batch    492, Loss  0.542978, Average Loss  0.543865, Time  0.232478
2021-09-11 06:06:40.243781 : Epoch  4, Batch    224, Loss  0.854809, Average Loss  0.871006, Time  0.172609
2021-09-11 06:06:41.362167 : Epoch 10, Batch    493, Loss  0.533926, Average Loss  0.543802, Time  0.235503
2021-09-11 06:06:41.891747 : Epoch  4, Batch    225, Loss  0.855153, Average Loss  0.871022, Time  0.170012
2021-09-11 06:06:42.893267 : Epoch 10, Batch    494, Loss  0.546516, Average Loss  0.543838, Time  0.231909
2021-09-11 06:06:43.532773 : Epoch  4, Batch    226, Loss  0.861681, Average Loss  0.871023, Time  0.174033
2021-09-11 06:06:44.577777 : Epoch 10, Batch    495, Loss  0.544556, Average Loss  0.543799, Time  0.250759
2021-09-11 06:06:45.171856 : Epoch  4, Batch    227, Loss  0.864900, Average Loss  0.871065, Time  0.172896
2021-09-11 06:06:46.273156 : Epoch 10, Batch    496, Loss  0.546007, Average Loss  0.543807, Time  0.251799
2021-09-11 06:06:46.792852 : Epoch  4, Batch    228, Loss  0.863326, Average Loss  0.871020, Time  0.173568
2021-09-11 06:06:47.946729 : Epoch 10, Batch    497, Loss  0.558368, Average Loss  0.543835, Time  0.250542
2021-09-11 06:06:48.454829 : Epoch  4, Batch    229, Loss  0.864011, Average Loss  0.870891, Time  0.177190
2021-09-11 06:06:49.557029 : Epoch 10, Batch    498, Loss  0.543641, Average Loss  0.543872, Time  0.258230
2021-09-11 06:06:50.084057 : Epoch  4, Batch    230, Loss  0.866933, Average Loss  0.870845, Time  0.174663
2021-09-11 06:06:51.130739 : Epoch 10, Batch    499, Loss  0.540250, Average Loss  0.543798, Time  0.250282
2021-09-11 06:06:51.680028 : Epoch  4, Batch    231, Loss  0.863864, Average Loss  0.870706, Time  0.170120
2021-09-11 06:06:52.677250 : Epoch 10, Batch    500, Loss  0.528491, Average Loss  0.543724, Time  0.231834
2021-09-11 06:06:53.292748 : Epoch  4, Batch    232, Loss  0.868328, Average Loss  0.870607, Time  0.170051
2021-09-11 06:06:54.358881 : Epoch 10, Batch    501, Loss  0.550065, Average Loss  0.543735, Time  0.256598
2021-09-11 06:06:54.946029 : Epoch  4, Batch    233, Loss  0.865999, Average Loss  0.870610, Time  0.179394
2021-09-11 06:06:56.040984 : Epoch 10, Batch    502, Loss  0.536032, Average Loss  0.543741, Time  0.250370
2021-09-11 06:06:56.607032 : Epoch  4, Batch    234, Loss  0.892320, Average Loss  0.870677, Time  0.176877
2021-09-11 06:06:57.606175 : Epoch 10, Batch    503, Loss  0.547107, Average Loss  0.543717, Time  0.235570
2021-09-11 06:06:58.255758 : Epoch  4, Batch    235, Loss  0.850374, Average Loss  0.870577, Time  0.176873
2021-09-11 06:06:59.142533 : Epoch 10, Batch    504, Loss  0.535093, Average Loss  0.543663, Time  0.231392
2021-09-11 06:06:59.881791 : Epoch  4, Batch    236, Loss  0.866275, Average Loss  0.870436, Time  0.170485
2021-09-11 06:07:00.653029 : Epoch 10, Batch    505, Loss  0.544688, Average Loss  0.543723, Time  0.230936
2021-09-11 06:07:01.557034 : Epoch  4, Batch    237, Loss  0.878267, Average Loss  0.870477, Time  0.180136
2021-09-11 06:07:02.328742 : Epoch 10, Batch    506, Loss  0.546143, Average Loss  0.543690, Time  0.251186
2021-09-11 06:07:03.193792 : Epoch  4, Batch    238, Loss  0.862756, Average Loss  0.870601, Time  0.172077
2021-09-11 06:07:03.966024 : Epoch 10, Batch    507, Loss  0.533317, Average Loss  0.543633, Time  0.251520
2021-09-11 06:07:04.835036 : Epoch  4, Batch    239, Loss  0.870013, Average Loss  0.870535, Time  0.170042
2021-09-11 06:07:05.718742 : Epoch 10, Batch    508, Loss  0.540218, Average Loss  0.543689, Time  0.331968
2021-09-11 06:07:06.476859 : Epoch  4, Batch    240, Loss  0.877742, Average Loss  0.870684, Time  0.176974
2021-09-11 06:07:07.403276 : Epoch 10, Batch    509, Loss  0.544997, Average Loss  0.543653, Time  0.250219
2021-09-11 06:07:08.102920 : Epoch  4, Batch    241, Loss  0.868009, Average Loss  0.870573, Time  0.173514
2021-09-11 06:07:09.048145 : Epoch 10, Batch    510, Loss  0.558003, Average Loss  0.543732, Time  0.252091
2021-09-11 06:07:09.751786 : Epoch  4, Batch    242, Loss  0.873696, Average Loss  0.870493, Time  0.172090
2021-09-11 06:07:10.632315 : Epoch 10, Batch    511, Loss  0.543257, Average Loss  0.543728, Time  0.236274
2021-09-11 06:07:11.407755 : Epoch  4, Batch    243, Loss  0.878747, Average Loss  0.870396, Time  0.182876
2021-09-11 06:07:12.159709 : Epoch 10, Batch    512, Loss  0.525469, Average Loss  0.543581, Time  0.231131
2021-09-11 06:07:13.035874 : Epoch  4, Batch    244, Loss  0.868966, Average Loss  0.870348, Time  0.172929
2021-09-11 06:07:13.691939 : Epoch 10, Batch    513, Loss  0.538256, Average Loss  0.543576, Time  0.232274
2021-09-11 06:07:14.716742 : Epoch  4, Batch    245, Loss  0.848873, Average Loss  0.870179, Time  0.176011
2021-09-11 06:07:15.292201 : Epoch 10, Batch    514, Loss  0.553029, Average Loss  0.543580, Time  0.313521
2021-09-11 06:07:16.350800 : Epoch  4, Batch    246, Loss  0.878685, Average Loss  0.870173, Time  0.171593
2021-09-11 06:07:16.977744 : Epoch 10, Batch    515, Loss  0.540389, Average Loss  0.543596, Time  0.250502
2021-09-11 06:07:17.975036 : Epoch  4, Batch    247, Loss  0.841893, Average Loss  0.869958, Time  0.172506
2021-09-11 06:07:18.679346 : Epoch 10, Batch    516, Loss  0.552454, Average Loss  0.543665, Time  0.251471
2021-09-11 06:07:19.604033 : Epoch  4, Batch    248, Loss  0.886730, Average Loss  0.870068, Time  0.169919
2021-09-11 06:07:20.250153 : Epoch 10, Batch    517, Loss  0.560089, Average Loss  0.543705, Time  0.236342
2021-09-11 06:07:21.240814 : Epoch  4, Batch    249, Loss  0.883540, Average Loss  0.870323, Time  0.175266
2021-09-11 06:07:22.878801 : Epoch  4, Batch    250, Loss  0.884729, Average Loss  0.870420, Time  0.175033
2021-09-11 06:07:24.508851 : Epoch  4, Batch    251, Loss  0.823875, Average Loss  0.870082, Time  0.173407
2021-09-11 06:07:26.172029 : Epoch  4, Batch    252, Loss  0.872980, Average Loss  0.870192, Time  0.183994
2021-09-11 06:07:27.798793 : Epoch  4, Batch    253, Loss  0.860684, Average Loss  0.870191, Time  0.175853
2021-09-11 06:07:29.451940 : Epoch  4, Batch    254, Loss  0.880107, Average Loss  0.870295, Time  0.169983
2021-09-11 06:07:31.109036 : Epoch  4, Batch    255, Loss  0.887995, Average Loss  0.870286, Time  0.178131
2021-09-11 06:07:32.766782 : Epoch  4, Batch    256, Loss  0.858966, Average Loss  0.870229, Time  0.184275
2021-09-11 06:07:34.356807 : Epoch  4, Batch    257, Loss  0.873621, Average Loss  0.870279, Time  0.170819
2021-09-11 06:07:35.990029 : Epoch  4, Batch    258, Loss  0.892152, Average Loss  0.870317, Time  0.173869
2021-09-11 06:07:37.611033 : Epoch  4, Batch    259, Loss  0.852518, Average Loss  0.870365, Time  0.173279
2021-09-11 06:07:39.244738 : Epoch  4, Batch    260, Loss  0.850783, Average Loss  0.870276, Time  0.177921
2021-09-11 06:07:40.870859 : Epoch  4, Batch    261, Loss  0.901129, Average Loss  0.870282, Time  0.173221
2021-09-11 06:07:42.493937 : Epoch  4, Batch    262, Loss  0.857638, Average Loss  0.870181, Time  0.169915
2021-09-11 06:07:44.146868 : Epoch  4, Batch    263, Loss  0.865108, Average Loss  0.870190, Time  0.170782
2021-09-11 06:07:45.783790 : Epoch  4, Batch    264, Loss  0.881823, Average Loss  0.870262, Time  0.171945
2021-09-11 06:07:47.409783 : Epoch  4, Batch    265, Loss  0.873581, Average Loss  0.870335, Time  0.170389
2021-09-11 06:07:49.034864 : Epoch  4, Batch    266, Loss  0.903913, Average Loss  0.870440, Time  0.172033
2021-09-11 06:07:50.668754 : Epoch  4, Batch    267, Loss  0.838134, Average Loss  0.870359, Time  0.172409
2021-09-11 06:08:16.959816 : CheckPoint: Validation Loss  0.00022184, Best Loss  0.00021858
2021-09-11 06:08:18.527373 : Epoch 10, Batch    518, Loss  0.538495, Average Loss  0.543675, Time  0.232229
2021-09-11 06:08:20.064361 : Epoch 10, Batch    519, Loss  0.548688, Average Loss  0.543784, Time  0.231381
2021-09-11 06:08:21.578650 : Epoch 10, Batch    520, Loss  0.538371, Average Loss  0.543749, Time  0.230862
2021-09-11 06:08:23.133258 : Epoch 10, Batch    521, Loss  0.548252, Average Loss  0.543746, Time  0.232333
2021-09-11 06:08:24.656158 : Epoch 10, Batch    522, Loss  0.539077, Average Loss  0.543709, Time  0.231217
2021-09-11 06:08:26.167697 : Epoch 10, Batch    523, Loss  0.548546, Average Loss  0.543752, Time  0.230917
2021-09-11 06:08:27.767002 : Epoch 10, Batch    524, Loss  0.557536, Average Loss  0.543801, Time  0.235701
2021-09-11 06:08:29.354758 : Epoch 10, Batch    525, Loss  0.540380, Average Loss  0.543812, Time  0.234950
2021-09-11 06:08:30.941157 : Epoch 10, Batch    526, Loss  0.538426, Average Loss  0.543734, Time  0.236483
2021-09-11 06:08:32.515710 : Epoch 10, Batch    527, Loss  0.549876, Average Loss  0.543682, Time  0.234908
2021-09-11 06:08:34.120927 : Epoch 10, Batch    528, Loss  0.539699, Average Loss  0.543704, Time  0.234347
2021-09-11 06:08:35.710692 : Epoch 10, Batch    529, Loss  0.535509, Average Loss  0.543716, Time  0.234127
2021-09-11 06:08:37.291897 : Epoch 10, Batch    530, Loss  0.536941, Average Loss  0.543703, Time  0.237289
2021-09-11 06:08:38.903987 : Epoch 10, Batch    531, Loss  0.530253, Average Loss  0.543593, Time  0.242611
2021-09-11 06:08:40.493131 : Epoch 10, Batch    532, Loss  0.527386, Average Loss  0.543557, Time  0.238157
2021-09-11 06:08:42.059578 : Epoch 10, Batch    533, Loss  0.542915, Average Loss  0.543574, Time  0.242678
2021-09-11 06:08:43.638719 : Epoch 10, Batch    534, Loss  0.532513, Average Loss  0.543469, Time  0.234528
2021-09-11 06:08:45.197054 : Epoch 10, Batch    535, Loss  0.547863, Average Loss  0.543492, Time  0.234905
2021-09-11 06:08:46.761324 : Epoch 10, Batch    536, Loss  0.535719, Average Loss  0.543476, Time  0.233250
2021-09-11 06:08:48.360226 : Epoch 10, Batch    537, Loss  0.557246, Average Loss  0.543525, Time  0.262857
2021-09-11 06:08:49.913175 : Epoch 10, Batch    538, Loss  0.548319, Average Loss  0.543505, Time  0.234993
2021-09-11 06:08:51.462534 : Epoch 10, Batch    539, Loss  0.554809, Average Loss  0.543537, Time  0.234528
2021-09-11 06:08:53.107450 : Epoch 10, Batch    540, Loss  0.540578, Average Loss  0.543492, Time  0.315381
2021-09-11 06:08:54.696496 : Epoch 10, Batch    541, Loss  0.545424, Average Loss  0.543508, Time  0.238292
2021-09-11 06:08:56.436839 : Epoch 10, Batch    542, Loss  0.537033, Average Loss  0.543493, Time  0.255579
2021-09-11 06:08:57.991504 : Epoch 10, Batch    543, Loss  0.551910, Average Loss  0.543536, Time  0.237487
2021-09-11 06:08:59.550916 : Epoch 10, Batch    544, Loss  0.537973, Average Loss  0.543485, Time  0.235097
2021-09-11 06:09:01.102676 : Epoch 10, Batch    545, Loss  0.546895, Average Loss  0.543522, Time  0.235733
2021-09-11 06:09:01.646696 : CheckPoint: Validation Loss  0.00030578, Best Loss  0.00029375
2021-09-11 06:09:02.680565 : Epoch 10, Batch    546, Loss  0.535244, Average Loss  0.543493, Time  0.235736
2021-09-11 06:09:04.427096 : Epoch 10, Batch    547, Loss  0.541417, Average Loss  0.543419, Time  0.437910
2021-09-11 06:09:04.485025 : Epoch  2, Batch   1345, Loss  0.868080, Average Loss  0.870193, Time  0.393596
2021-09-11 06:09:06.029179 : Epoch 10, Batch    548, Loss  0.548230, Average Loss  0.543457, Time  0.239404
2021-09-11 06:09:07.183112 : Epoch  2, Batch   1346, Loss  0.884051, Average Loss  0.870263, Time  0.263352
2021-09-11 06:09:07.596941 : Epoch 10, Batch    549, Loss  0.555467, Average Loss  0.543554, Time  0.233487
2021-09-11 06:09:09.174347 : Epoch 10, Batch    550, Loss  0.544049, Average Loss  0.543541, Time  0.234557
2021-09-11 06:09:09.825717 : Epoch  2, Batch   1347, Loss  0.869744, Average Loss  0.870265, Time  0.243824
2021-09-11 06:09:10.745851 : Epoch 10, Batch    551, Loss  0.544264, Average Loss  0.543536, Time  0.237880
2021-09-11 06:09:12.489872 : Epoch 10, Batch    552, Loss  0.551063, Average Loss  0.543458, Time  0.411639
2021-09-11 06:09:12.546335 : Epoch  2, Batch   1348, Loss  0.857363, Average Loss  0.870255, Time  0.351789
2021-09-11 06:09:14.058558 : Epoch 10, Batch    553, Loss  0.545622, Average Loss  0.543483, Time  0.234729
2021-09-11 06:09:15.174080 : Epoch  2, Batch   1349, Loss  0.870056, Average Loss  0.870246, Time  0.261697
2021-09-11 06:09:15.613266 : Epoch 10, Batch    554, Loss  0.545180, Average Loss  0.543496, Time  0.232665
2021-09-11 06:09:17.171932 : Epoch 10, Batch    555, Loss  0.551524, Average Loss  0.543555, Time  0.235976
2021-09-11 06:09:17.873380 : Epoch  2, Batch   1350, Loss  0.901910, Average Loss  0.870444, Time  0.263535
2021-09-11 06:09:18.726969 : Epoch 10, Batch    556, Loss  0.541548, Average Loss  0.543552, Time  0.235297
2021-09-11 06:09:20.285088 : Epoch 10, Batch    557, Loss  0.539174, Average Loss  0.543574, Time  0.235070
2021-09-11 06:09:20.595223 : Epoch  2, Batch   1351, Loss  0.854118, Average Loss  0.870330, Time  0.266093
2021-09-11 06:09:21.845032 : Epoch 10, Batch    558, Loss  0.546559, Average Loss  0.543568, Time  0.236309
2021-09-11 06:09:23.394378 : Epoch  2, Batch   1352, Loss  0.882806, Average Loss  0.870391, Time  0.385242
2021-09-11 06:09:23.460745 : Epoch 10, Batch    559, Loss  0.538811, Average Loss  0.543560, Time  0.304068
2021-09-11 06:09:24.997392 : Epoch 10, Batch    560, Loss  0.542047, Average Loss  0.543575, Time  0.230551
2021-09-11 06:09:26.026858 : Epoch  2, Batch   1353, Loss  0.869535, Average Loss  0.870304, Time  0.257684
2021-09-11 06:09:26.556485 : Epoch 10, Batch    561, Loss  0.541543, Average Loss  0.543601, Time  0.236901
2021-09-11 06:09:28.129165 : Epoch 10, Batch    562, Loss  0.553518, Average Loss  0.543638, Time  0.236661
2021-09-11 06:09:28.729015 : Epoch  2, Batch   1354, Loss  0.860026, Average Loss  0.870294, Time  0.269691
2021-09-11 06:09:29.692571 : Epoch 10, Batch    563, Loss  0.543549, Average Loss  0.543659, Time  0.233061
2021-09-11 06:09:31.383182 : Epoch 10, Batch    564, Loss  0.539697, Average Loss  0.543691, Time  0.366488
2021-09-11 06:09:31.492365 : Epoch  2, Batch   1355, Loss  0.868279, Average Loss  0.870249, Time  0.329850
2021-09-11 06:09:32.956431 : Epoch 10, Batch    565, Loss  0.545801, Average Loss  0.543668, Time  0.232805
2021-09-11 06:09:34.188958 : Epoch  2, Batch   1356, Loss  0.871738, Average Loss  0.870097, Time  0.260593
2021-09-11 06:09:34.533025 : Epoch 10, Batch    566, Loss  0.536755, Average Loss  0.543654, Time  0.235238
2021-09-11 06:09:36.062006 : Epoch 10, Batch    567, Loss  0.539705, Average Loss  0.543596, Time  0.230940
2021-09-11 06:09:36.876128 : Epoch  2, Batch   1357, Loss  0.864942, Average Loss  0.870114, Time  0.262409
2021-09-11 06:09:37.603956 : Epoch 10, Batch    568, Loss  0.533769, Average Loss  0.543547, Time  0.230554
2021-09-11 06:09:39.157861 : Epoch 10, Batch    569, Loss  0.557318, Average Loss  0.543704, Time  0.231564
2021-09-11 06:09:39.570856 : Epoch  2, Batch   1358, Loss  0.842903, Average Loss  0.869873, Time  0.264511
2021-09-11 06:09:40.746503 : Epoch 10, Batch    570, Loss  0.547875, Average Loss  0.543746, Time  0.233720
2021-09-11 06:09:42.368508 : Epoch  2, Batch   1359, Loss  0.869069, Average Loss  0.869838, Time  0.403672
2021-09-11 06:09:42.422030 : Epoch 10, Batch    571, Loss  0.538266, Average Loss  0.543740, Time  0.337631
2021-09-11 06:09:43.962062 : Epoch 10, Batch    572, Loss  0.548417, Average Loss  0.543781, Time  0.235880
2021-09-11 06:09:44.985925 : Epoch  2, Batch   1360, Loss  0.876275, Average Loss  0.869745, Time  0.243331
2021-09-11 06:09:45.517893 : Epoch 10, Batch    573, Loss  0.537111, Average Loss  0.543781, Time  0.234817
2021-09-11 06:09:47.072572 : Epoch 10, Batch    574, Loss  0.545043, Average Loss  0.543788, Time  0.234952
2021-09-11 06:09:47.600921 : Epoch  2, Batch   1361, Loss  0.898021, Average Loss  0.869883, Time  0.242175
2021-09-11 06:09:48.617931 : Epoch 10, Batch    575, Loss  0.556936, Average Loss  0.543860, Time  0.235152
2021-09-11 06:09:50.364094 : Epoch 10, Batch    576, Loss  0.552002, Average Loss  0.543966, Time  0.448771
2021-09-11 06:09:50.416135 : Epoch  2, Batch   1362, Loss  0.857009, Average Loss  0.869827, Time  0.431581
2021-09-11 06:09:51.901044 : Epoch 10, Batch    577, Loss  0.540365, Average Loss  0.543910, Time  0.234171
2021-09-11 06:09:53.016734 : Epoch  2, Batch   1363, Loss  0.865991, Average Loss  0.869875, Time  0.243703
2021-09-11 06:09:53.438565 : Epoch 10, Batch    578, Loss  0.554113, Average Loss  0.543949, Time  0.233659
2021-09-11 06:09:55.003231 : Epoch 10, Batch    579, Loss  0.549141, Average Loss  0.543898, Time  0.236938
2021-09-11 06:09:55.620769 : Epoch  2, Batch   1364, Loss  0.866247, Average Loss  0.869784, Time  0.240116
2021-09-11 06:09:56.565526 : Epoch 10, Batch    580, Loss  0.542389, Average Loss  0.543867, Time  0.234675
2021-09-11 06:09:58.311176 : Epoch 10, Batch    581, Loss  0.549295, Average Loss  0.543895, Time  0.419559
2021-09-11 06:09:58.366443 : Epoch  2, Batch   1365, Loss  0.866725, Average Loss  0.869730, Time  0.378261
2021-09-11 06:09:59.871774 : Epoch 10, Batch    582, Loss  0.555613, Average Loss  0.543946, Time  0.234487
2021-09-11 06:10:01.058370 : Epoch  2, Batch   1366, Loss  0.873811, Average Loss  0.869679, Time  0.263406
2021-09-11 06:10:01.436768 : Epoch 10, Batch    583, Loss  0.547716, Average Loss  0.543929, Time  0.237770
2021-09-11 06:10:03.020973 : Epoch 10, Batch    584, Loss  0.541993, Average Loss  0.543914, Time  0.233081
2021-09-11 06:10:03.749748 : Epoch  2, Batch   1367, Loss  0.865392, Average Loss  0.869640, Time  0.263744
2021-09-11 06:10:04.580473 : Epoch 10, Batch    585, Loss  0.544162, Average Loss  0.543903, Time  0.234403
2021-09-11 06:10:06.129910 : Epoch 10, Batch    586, Loss  0.554201, Average Loss  0.544032, Time  0.232475
2021-09-11 06:10:06.378873 : Epoch  2, Batch   1368, Loss  0.866934, Average Loss  0.869601, Time  0.243474
2021-09-11 06:10:07.674978 : Epoch 10, Batch    587, Loss  0.533815, Average Loss  0.543915, Time  0.235385
2021-09-11 06:10:09.004841 : Epoch  2, Batch   1369, Loss  0.884376, Average Loss  0.869594, Time  0.245987
2021-09-11 06:10:11.627898 : Epoch  2, Batch   1370, Loss  0.869287, Average Loss  0.869627, Time  0.240202
2021-09-11 06:10:13.220982 : Epoch 10, Batch    588, Loss  0.547002, Average Loss  0.543926, Time  0.233385
2021-09-11 06:10:14.228449 : Epoch  2, Batch   1371, Loss  0.877364, Average Loss  0.869677, Time  0.242237
2021-09-11 06:10:14.774305 : Epoch 10, Batch    589, Loss  0.542798, Average Loss  0.543871, Time  0.238618
2021-09-11 06:10:16.339245 : Epoch 10, Batch    590, Loss  0.556336, Average Loss  0.543869, Time  0.235835
2021-09-11 06:10:16.941041 : Epoch  2, Batch   1372, Loss  0.876175, Average Loss  0.869738, Time  0.263865
2021-09-11 06:10:17.905391 : Epoch 10, Batch    591, Loss  0.524804, Average Loss  0.543777, Time  0.240108
2021-09-11 06:10:19.698104 : Epoch 10, Batch    592, Loss  0.554855, Average Loss  0.543809, Time  0.421692
2021-09-11 06:10:19.750984 : Epoch  2, Batch   1373, Loss  0.878862, Average Loss  0.869957, Time  0.360815
2021-09-11 06:10:21.256688 : Epoch 10, Batch    593, Loss  0.549543, Average Loss  0.543793, Time  0.235932
2021-09-11 06:10:22.360391 : Epoch  2, Batch   1374, Loss  0.873205, Average Loss  0.869904, Time  0.244599
2021-09-11 06:10:22.834760 : Epoch 10, Batch    594, Loss  0.555763, Average Loss  0.543861, Time  0.234374
2021-09-11 06:10:24.390645 : Epoch 10, Batch    595, Loss  0.553573, Average Loss  0.543905, Time  0.234272
2021-09-11 06:10:24.968244 : Epoch  2, Batch   1375, Loss  0.872836, Average Loss  0.869896, Time  0.258004
2021-09-11 06:10:25.948960 : Epoch 10, Batch    596, Loss  0.543572, Average Loss  0.543954, Time  0.231798
2021-09-11 06:10:27.610627 : Epoch 10, Batch    597, Loss  0.557885, Average Loss  0.544035, Time  0.357154
2021-09-11 06:10:27.709415 : Epoch  2, Batch   1376, Loss  0.860888, Average Loss  0.869904, Time  0.303828
2021-09-11 06:10:29.174155 : Epoch 10, Batch    598, Loss  0.540537, Average Loss  0.544003, Time  0.232573
2021-09-11 06:10:30.436513 : Epoch  2, Batch   1377, Loss  0.884076, Average Loss  0.870045, Time  0.261203
2021-09-11 06:10:30.765371 : Epoch 10, Batch    599, Loss  0.545951, Average Loss  0.544011, Time  0.237025
2021-09-11 06:10:32.328749 : Epoch 10, Batch    600, Loss  0.538936, Average Loss  0.543954, Time  0.236247
2021-09-11 06:10:33.112853 : Epoch  2, Batch   1378, Loss  0.894674, Average Loss  0.870069, Time  0.241750
2021-09-11 06:10:33.889351 : Epoch 10, Batch    601, Loss  0.536562, Average Loss  0.543936, Time  0.238801
2021-09-11 06:10:35.462020 : Epoch 10, Batch    602, Loss  0.535369, Average Loss  0.543805, Time  0.239098
2021-09-11 06:10:35.710278 : Epoch  2, Batch   1379, Loss  0.872371, Average Loss  0.869960, Time  0.241838
2021-09-11 06:10:37.011383 : Epoch 10, Batch    603, Loss  0.524596, Average Loss  0.543702, Time  0.235284
2021-09-11 06:10:38.318803 : Epoch  2, Batch   1380, Loss  0.878265, Average Loss  0.869965, Time  0.239991
2021-09-11 06:10:38.547459 : Epoch 10, Batch    604, Loss  0.542943, Average Loss  0.543719, Time  0.235876
2021-09-11 06:10:40.097229 : Epoch 10, Batch    605, Loss  0.552036, Average Loss  0.543689, Time  0.236120
2021-09-11 06:10:40.969838 : Epoch  2, Batch   1381, Loss  0.872611, Average Loss  0.870046, Time  0.242252
2021-09-11 06:10:41.630142 : Epoch 10, Batch    606, Loss  0.550026, Average Loss  0.543743, Time  0.233125
2021-09-11 06:10:43.177837 : Epoch 10, Batch    607, Loss  0.554345, Average Loss  0.543786, Time  0.233448
2021-09-11 06:10:43.614251 : Epoch  2, Batch   1382, Loss  0.897303, Average Loss  0.870126, Time  0.240866
2021-09-11 06:10:44.720254 : Epoch 10, Batch    608, Loss  0.557940, Average Loss  0.543831, Time  0.235664
2021-09-11 06:10:46.488925 : Epoch  2, Batch   1383, Loss  0.894450, Average Loss  0.870233, Time  0.456033
2021-09-11 06:10:46.539599 : Epoch 10, Batch    609, Loss  0.541739, Average Loss  0.543794, Time  0.439891
2021-09-11 06:10:48.106079 : Epoch 10, Batch    610, Loss  0.535301, Average Loss  0.543765, Time  0.236520
2021-09-11 06:10:49.187139 : Epoch  2, Batch   1384, Loss  0.895084, Average Loss  0.870435, Time  0.265611
2021-09-11 06:10:49.650543 : Epoch 10, Batch    611, Loss  0.549500, Average Loss  0.543767, Time  0.233565
2021-09-11 06:10:51.251885 : Epoch 10, Batch    612, Loss  0.544995, Average Loss  0.543778, Time  0.235312
2021-09-11 06:10:51.870812 : Epoch  2, Batch   1385, Loss  0.870659, Average Loss  0.870510, Time  0.248466
2021-09-11 06:10:52.807291 : Epoch 10, Batch    613, Loss  0.543084, Average Loss  0.543805, Time  0.236690
2021-09-11 06:10:54.515879 : Epoch 10, Batch    614, Loss  0.548020, Average Loss  0.543821, Time  0.371539
2021-09-11 06:10:54.599530 : Epoch  2, Batch   1386, Loss  0.854682, Average Loss  0.870517, Time  0.318119
2021-09-11 06:10:56.052943 : Epoch 10, Batch    615, Loss  0.547334, Average Loss  0.543848, Time  0.233525
2021-09-11 06:10:57.229634 : Epoch  2, Batch   1387, Loss  0.849469, Average Loss  0.870562, Time  0.243807
2021-09-11 06:10:57.585464 : Epoch 10, Batch    616, Loss  0.534203, Average Loss  0.543800, Time  0.234714
2021-09-11 06:10:59.128513 : Epoch 10, Batch    617, Loss  0.543494, Average Loss  0.543782, Time  0.236785
2021-09-11 06:10:59.859527 : Epoch  2, Batch   1388, Loss  0.861934, Average Loss  0.870493, Time  0.244604
2021-09-11 06:11:02.481289 : Epoch  2, Batch   1389, Loss  0.858234, Average Loss  0.870439, Time  0.258266
2021-09-11 06:11:05.176953 : Epoch  2, Batch   1390, Loss  0.868225, Average Loss  0.870429, Time  0.265651
2021-09-11 06:11:07.907033 : Epoch  2, Batch   1391, Loss  0.890939, Average Loss  0.870506, Time  0.273157
2021-09-11 06:11:10.610063 : Epoch  2, Batch   1392, Loss  0.887742, Average Loss  0.870551, Time  0.262426
2021-09-11 06:11:13.291135 : Epoch  2, Batch   1393, Loss  0.880342, Average Loss  0.870420, Time  0.264337
2021-09-11 06:11:15.980863 : Epoch  2, Batch   1394, Loss  0.858880, Average Loss  0.870351, Time  0.264760
2021-09-11 06:11:18.674007 : Epoch  2, Batch   1395, Loss  0.865226, Average Loss  0.870299, Time  0.263865
2021-09-11 06:11:21.323555 : Epoch  2, Batch   1396, Loss  0.878305, Average Loss  0.870480, Time  0.242033
2021-09-11 06:11:23.984139 : Epoch  2, Batch   1397, Loss  0.867316, Average Loss  0.870526, Time  0.241732
2021-09-11 06:11:26.649051 : Epoch  2, Batch   1398, Loss  0.874916, Average Loss  0.870473, Time  0.240481
2021-09-11 06:11:29.297943 : Epoch  2, Batch   1399, Loss  0.878563, Average Loss  0.870437, Time  0.239458
2021-09-11 06:11:31.942860 : Epoch  2, Batch   1400, Loss  0.879168, Average Loss  0.870430, Time  0.244186
2021-09-11 06:11:34.628886 : Epoch  2, Batch   1401, Loss  0.869868, Average Loss  0.870384, Time  0.260348
2021-09-11 06:11:37.325763 : Epoch  2, Batch   1402, Loss  0.865614, Average Loss  0.870414, Time  0.262489
2021-09-11 06:11:40.026867 : Epoch  2, Batch   1403, Loss  0.860119, Average Loss  0.870340, Time  0.266507
2021-09-11 06:11:42.724766 : Epoch  2, Batch   1404, Loss  0.856018, Average Loss  0.870314, Time  0.261779
2021-09-11 06:11:45.425275 : Epoch  2, Batch   1405, Loss  0.878555, Average Loss  0.870388, Time  0.241986
2021-09-11 06:11:48.048955 : Epoch  2, Batch   1406, Loss  0.866019, Average Loss  0.870407, Time  0.242629
2021-09-11 06:11:50.666921 : Epoch  2, Batch   1407, Loss  0.861266, Average Loss  0.870458, Time  0.241230
2021-09-11 06:11:53.292844 : Epoch  2, Batch   1408, Loss  0.875880, Average Loss  0.870389, Time  0.243946
2021-09-11 06:11:55.917741 : Epoch  2, Batch   1409, Loss  0.901415, Average Loss  0.870623, Time  0.243736
2021-09-11 06:11:56.590698 : CheckPoint: Validation Loss  0.00022508, Best Loss  0.00021858
2021-09-11 06:11:58.138039 : Epoch 10, Batch    618, Loss  0.548858, Average Loss  0.543849, Time  0.235805
2021-09-11 06:11:58.629337 : Epoch  2, Batch   1410, Loss  0.852403, Average Loss  0.870528, Time  0.259786
2021-09-11 06:11:59.663860 : Epoch 10, Batch    619, Loss  0.539814, Average Loss  0.543877, Time  0.234755
2021-09-11 06:12:01.446440 : Epoch 10, Batch    620, Loss  0.548417, Average Loss  0.543899, Time  0.438539
2021-09-11 06:12:01.514621 : Epoch  2, Batch   1411, Loss  0.847826, Average Loss  0.870371, Time  0.398559
2021-09-11 06:12:03.021051 : Epoch 10, Batch    621, Loss  0.557302, Average Loss  0.543881, Time  0.235058
2021-09-11 06:12:04.133984 : Epoch  2, Batch   1412, Loss  0.864706, Average Loss  0.870328, Time  0.238374
2021-09-11 06:12:04.558041 : Epoch 10, Batch    622, Loss  0.553525, Average Loss  0.543930, Time  0.233888
2021-09-11 06:12:06.115028 : Epoch 10, Batch    623, Loss  0.552115, Average Loss  0.544027, Time  0.232553
2021-09-11 06:12:06.747725 : Epoch  2, Batch   1413, Loss  0.887692, Average Loss  0.870429, Time  0.241524
2021-09-11 06:12:07.660870 : Epoch 10, Batch    624, Loss  0.545814, Average Loss  0.544024, Time  0.234656
2021-09-11 06:12:09.330025 : Epoch 10, Batch    625, Loss  0.538686, Average Loss  0.543956, Time  0.352552
2021-09-11 06:12:09.484836 : Epoch  2, Batch   1414, Loss  0.854483, Average Loss  0.870345, Time  0.342616
2021-09-11 06:12:10.876465 : Epoch 10, Batch    626, Loss  0.535277, Average Loss  0.543948, Time  0.235250
2021-09-11 06:12:12.176037 : Epoch  2, Batch   1415, Loss  0.849584, Average Loss  0.870323, Time  0.263536
2021-09-11 06:12:12.425437 : Epoch 10, Batch    627, Loss  0.541143, Average Loss  0.543951, Time  0.235144
2021-09-11 06:12:13.961840 : Epoch 10, Batch    628, Loss  0.540297, Average Loss  0.543918, Time  0.235871
2021-09-11 06:12:14.785992 : Epoch  2, Batch   1416, Loss  0.864353, Average Loss  0.870398, Time  0.244772
2021-09-11 06:12:15.495053 : Epoch 10, Batch    629, Loss  0.549373, Average Loss  0.543957, Time  0.234603
2021-09-11 06:12:17.035411 : Epoch 10, Batch    630, Loss  0.545827, Average Loss  0.543984, Time  0.233800
2021-09-11 06:12:17.396116 : Epoch  2, Batch   1417, Loss  0.857823, Average Loss  0.870372, Time  0.247772
2021-09-11 06:12:18.584123 : Epoch 10, Batch    631, Loss  0.540540, Average Loss  0.543929, Time  0.233376
2021-09-11 06:12:20.298190 : Epoch 10, Batch    632, Loss  0.529988, Average Loss  0.543829, Time  0.408733
2021-09-11 06:12:20.349383 : Epoch  2, Batch   1418, Loss  0.855183, Average Loss  0.870372, Time  0.466854
2021-09-11 06:12:21.833200 : Epoch 10, Batch    633, Loss  0.553634, Average Loss  0.543870, Time  0.233114
2021-09-11 06:12:23.019205 : Epoch  2, Batch   1419, Loss  0.866683, Average Loss  0.870337, Time  0.261623
2021-09-11 06:12:23.390872 : Epoch 10, Batch    634, Loss  0.545205, Average Loss  0.543867, Time  0.234359
2021-09-11 06:12:24.938531 : Epoch 10, Batch    635, Loss  0.554312, Average Loss  0.543934, Time  0.235560
2021-09-11 06:12:25.735280 : Epoch  2, Batch   1420, Loss  0.860507, Average Loss  0.870185, Time  0.258196
2021-09-11 06:12:26.491835 : Epoch 10, Batch    636, Loss  0.539549, Average Loss  0.543937, Time  0.235903
2021-09-11 06:12:28.038463 : Epoch 10, Batch    637, Loss  0.548717, Average Loss  0.543969, Time  0.234710
2021-09-11 06:12:28.383368 : Epoch  2, Batch   1421, Loss  0.874676, Average Loss  0.870385, Time  0.241634
2021-09-11 06:12:29.583513 : Epoch 10, Batch    638, Loss  0.536692, Average Loss  0.544051, Time  0.235575
2021-09-11 06:12:31.208557 : Epoch  2, Batch   1422, Loss  0.870112, Average Loss  0.870378, Time  0.408834
2021-09-11 06:12:31.266544 : Epoch 10, Batch    639, Loss  0.546450, Average Loss  0.544074, Time  0.345016
2021-09-11 06:12:31.644727 : CheckPoint: Validation Loss  0.00061309, Best Loss  0.00057296
2021-09-11 06:12:32.802996 : Epoch 10, Batch    640, Loss  0.542942, Average Loss  0.544101, Time  0.234189
2021-09-11 06:12:33.250966 : Epoch  4, Batch    268, Loss  0.857610, Average Loss  0.870243, Time  0.179046
2021-09-11 06:12:33.848797 : Epoch  2, Batch   1423, Loss  0.872629, Average Loss  0.870323, Time  0.246716
2021-09-11 06:12:34.350085 : Epoch 10, Batch    641, Loss  0.547036, Average Loss  0.544064, Time  0.237144
2021-09-11 06:12:34.868731 : Epoch  4, Batch    269, Loss  0.862677, Average Loss  0.870215, Time  0.181651
2021-09-11 06:12:35.893608 : Epoch 10, Batch    642, Loss  0.542053, Average Loss  0.544044, Time  0.233420
2021-09-11 06:12:36.459831 : Epoch  2, Batch   1424, Loss  0.903698, Average Loss  0.870472, Time  0.245184
2021-09-11 06:12:36.486010 : Epoch  4, Batch    270, Loss  0.864905, Average Loss  0.870241, Time  0.173002
2021-09-11 06:12:37.439963 : Epoch 10, Batch    643, Loss  0.551697, Average Loss  0.544122, Time  0.234919
2021-09-11 06:12:38.117026 : Epoch  4, Batch    271, Loss  0.874439, Average Loss  0.870118, Time  0.177284
2021-09-11 06:12:39.201570 : Epoch 10, Batch    644, Loss  0.546057, Average Loss  0.544075, Time  0.439282
2021-09-11 06:12:39.260806 : Epoch  2, Batch   1425, Loss  0.854058, Average Loss  0.870410, Time  0.391235
2021-09-11 06:12:39.766748 : Epoch  4, Batch    272, Loss  0.879389, Average Loss  0.870144, Time  0.181650
2021-09-11 06:12:40.760498 : Epoch 10, Batch    645, Loss  0.540698, Average Loss  0.544090, Time  0.232916
2021-09-11 06:12:41.380029 : Epoch  4, Batch    273, Loss  0.860190, Average Loss  0.869974, Time  0.169964
2021-09-11 06:12:41.834194 : Epoch  2, Batch   1426, Loss  0.877151, Average Loss  0.870441, Time  0.239629
2021-09-11 06:12:42.312009 : Epoch 10, Batch    646, Loss  0.530797, Average Loss  0.544071, Time  0.234525
2021-09-11 06:12:43.002369 : Epoch  4, Batch    274, Loss  0.897268, Average Loss  0.870131, Time  0.179112
2021-09-11 06:12:43.860466 : Epoch 10, Batch    647, Loss  0.538158, Average Loss  0.543976, Time  0.235684
2021-09-11 06:12:44.447115 : Epoch  2, Batch   1427, Loss  0.892935, Average Loss  0.870554, Time  0.243716
2021-09-11 06:12:44.645032 : Epoch  4, Batch    275, Loss  0.857385, Average Loss  0.869968, Time  0.176476
2021-09-11 06:12:45.395472 : Epoch 10, Batch    648, Loss  0.542954, Average Loss  0.543979, Time  0.234641
2021-09-11 06:12:46.258744 : Epoch  4, Batch    276, Loss  0.842578, Average Loss  0.869891, Time  0.177134
2021-09-11 06:12:47.093383 : Epoch 10, Batch    649, Loss  0.538504, Average Loss  0.543918, Time  0.396391
2021-09-11 06:12:47.151942 : Epoch  2, Batch   1428, Loss  0.873584, Average Loss  0.870668, Time  0.344562
2021-09-11 06:12:47.874810 : Epoch  4, Batch    277, Loss  0.872969, Average Loss  0.869859, Time  0.172627
2021-09-11 06:12:48.637428 : Epoch 10, Batch    650, Loss  0.528042, Average Loss  0.543777, Time  0.232786
2021-09-11 06:12:49.523032 : Epoch  4, Batch    278, Loss  0.871156, Average Loss  0.869935, Time  0.174662
2021-09-11 06:12:49.731934 : Epoch  2, Batch   1429, Loss  0.872390, Average Loss  0.870649, Time  0.241278
2021-09-11 06:12:50.202996 : Epoch 10, Batch    651, Loss  0.559663, Average Loss  0.543867, Time  0.236265
2021-09-11 06:12:51.173073 : Epoch  4, Batch    279, Loss  0.866775, Average Loss  0.869901, Time  0.172580
2021-09-11 06:12:51.780555 : Epoch 10, Batch    652, Loss  0.551999, Average Loss  0.543950, Time  0.236105
2021-09-11 06:12:52.352074 : Epoch  2, Batch   1430, Loss  0.902515, Average Loss  0.870775, Time  0.244389
2021-09-11 06:12:52.773780 : Epoch  4, Batch    280, Loss  0.856150, Average Loss  0.869703, Time  0.176161
2021-09-11 06:12:53.318897 : Epoch 10, Batch    653, Loss  0.548133, Average Loss  0.544010, Time  0.234787
2021-09-11 06:12:54.406791 : Epoch  4, Batch    281, Loss  0.863101, Average Loss  0.869548, Time  0.175663
2021-09-11 06:12:54.986873 : Epoch 10, Batch    654, Loss  0.526414, Average Loss  0.543914, Time  0.369724
2021-09-11 06:12:55.077834 : Epoch  2, Batch   1431, Loss  0.862813, Average Loss  0.870701, Time  0.317152
2021-09-11 06:12:56.038867 : Epoch  4, Batch    282, Loss  0.866392, Average Loss  0.869515, Time  0.170981
2021-09-11 06:12:56.533502 : Epoch 10, Batch    655, Loss  0.542965, Average Loss  0.543865, Time  0.233372
2021-09-11 06:12:57.678036 : Epoch  4, Batch    283, Loss  0.869162, Average Loss  0.869533, Time  0.172696
2021-09-11 06:12:57.720351 : Epoch  2, Batch   1432, Loss  0.878363, Average Loss  0.870718, Time  0.244000
2021-09-11 06:12:58.103213 : Epoch 10, Batch    656, Loss  0.550687, Average Loss  0.543905, Time  0.237838
2021-09-11 06:12:59.292040 : Epoch  4, Batch    284, Loss  0.873817, Average Loss  0.869684, Time  0.170027
2021-09-11 06:12:59.639411 : Epoch 10, Batch    657, Loss  0.550172, Average Loss  0.543929, Time  0.234583
2021-09-11 06:13:00.307140 : Epoch  2, Batch   1433, Loss  0.883786, Average Loss  0.870680, Time  0.241260
2021-09-11 06:13:00.922050 : Epoch  4, Batch    285, Loss  0.912580, Average Loss  0.869829, Time  0.169737
2021-09-11 06:13:01.172576 : Epoch 10, Batch    658, Loss  0.544871, Average Loss  0.543960, Time  0.233603
2021-09-11 06:13:02.602778 : Epoch  4, Batch    286, Loss  0.869518, Average Loss  0.869836, Time  0.170211
2021-09-11 06:13:03.060275 : Epoch 10, Batch    659, Loss  0.540359, Average Loss  0.543980, Time  0.443425
2021-09-11 06:13:03.114795 : Epoch  2, Batch   1434, Loss  0.854554, Average Loss  0.870584, Time  0.394897
2021-09-11 06:13:04.247031 : Epoch  4, Batch    287, Loss  0.851380, Average Loss  0.869598, Time  0.176520
2021-09-11 06:13:04.611608 : Epoch 10, Batch    660, Loss  0.541797, Average Loss  0.543955, Time  0.241668
2021-09-11 06:13:05.721274 : Epoch  2, Batch   1435, Loss  0.877579, Average Loss  0.870533, Time  0.244125
2021-09-11 06:13:05.923042 : Epoch  4, Batch    288, Loss  0.867235, Average Loss  0.869402, Time  0.170040
2021-09-11 06:13:06.167429 : Epoch 10, Batch    661, Loss  0.553042, Average Loss  0.544060, Time  0.233768
2021-09-11 06:13:07.564030 : Epoch  4, Batch    289, Loss  0.870303, Average Loss  0.869181, Time  0.170329
2021-09-11 06:13:07.722753 : Epoch 10, Batch    662, Loss  0.545563, Average Loss  0.544058, Time  0.233865
2021-09-11 06:13:08.328385 : Epoch  2, Batch   1436, Loss  0.871772, Average Loss  0.870582, Time  0.242088
2021-09-11 06:13:09.168893 : Epoch  4, Batch    290, Loss  0.842232, Average Loss  0.868998, Time  0.171101
2021-09-11 06:13:09.275449 : Epoch 10, Batch    663, Loss  0.544143, Average Loss  0.544051, Time  0.233000
2021-09-11 06:13:10.777906 : Epoch  4, Batch    291, Loss  0.851962, Average Loss  0.868829, Time  0.173372
2021-09-11 06:13:11.047363 : Epoch 10, Batch    664, Loss  0.546001, Average Loss  0.544075, Time  0.433614
2021-09-11 06:13:11.100400 : Epoch  2, Batch   1437, Loss  0.868770, Average Loss  0.870530, Time  0.373072
2021-09-11 06:13:12.438049 : Epoch  4, Batch    292, Loss  0.843582, Average Loss  0.868653, Time  0.185834
2021-09-11 06:13:12.607213 : Epoch 10, Batch    665, Loss  0.537470, Average Loss  0.544072, Time  0.238112
2021-09-11 06:13:13.674281 : Epoch  2, Batch   1438, Loss  0.870091, Average Loss  0.870514, Time  0.240566
2021-09-11 06:13:14.077776 : Epoch  4, Batch    293, Loss  0.890792, Average Loss  0.868812, Time  0.173874
2021-09-11 06:13:14.169916 : Epoch 10, Batch    666, Loss  0.540777, Average Loss  0.544051, Time  0.235834
2021-09-11 06:13:15.718788 : Epoch  4, Batch    294, Loss  0.900551, Average Loss  0.868928, Time  0.175259
2021-09-11 06:13:15.726052 : Epoch 10, Batch    667, Loss  0.553365, Average Loss  0.544127, Time  0.233700
2021-09-11 06:13:16.271914 : Epoch  2, Batch   1439, Loss  0.886922, Average Loss  0.870649, Time  0.241173
2021-09-11 06:13:17.274867 : Epoch 10, Batch    668, Loss  0.555748, Average Loss  0.544164, Time  0.235406
2021-09-11 06:13:17.372030 : Epoch  4, Batch    295, Loss  0.889921, Average Loss  0.868886, Time  0.175925
2021-09-11 06:13:19.019037 : Epoch  4, Batch    296, Loss  0.844793, Average Loss  0.868762, Time  0.169905
2021-09-11 06:13:19.048223 : Epoch 10, Batch    669, Loss  0.544503, Average Loss  0.544161, Time  0.450722
2021-09-11 06:13:19.054694 : Epoch  2, Batch   1440, Loss  0.878242, Average Loss  0.870592, Time  0.420911
2021-09-11 06:13:20.571225 : Epoch 10, Batch    670, Loss  0.534964, Average Loss  0.544140, Time  0.235446
2021-09-11 06:13:20.663037 : Epoch  4, Batch    297, Loss  0.863723, Average Loss  0.868898, Time  0.175805
2021-09-11 06:13:21.655900 : Epoch  2, Batch   1441, Loss  0.883089, Average Loss  0.870700, Time  0.242592
2021-09-11 06:13:22.109061 : Epoch 10, Batch    671, Loss  0.545533, Average Loss  0.544104, Time  0.232952
2021-09-11 06:13:22.344033 : Epoch  4, Batch    298, Loss  0.857331, Average Loss  0.868847, Time  0.180633
2021-09-11 06:13:23.674491 : Epoch 10, Batch    672, Loss  0.551327, Average Loss  0.544201, Time  0.235752
2021-09-11 06:13:23.999746 : Epoch  4, Batch    299, Loss  0.882067, Average Loss  0.868883, Time  0.169792
2021-09-11 06:13:24.354824 : Epoch  2, Batch   1442, Loss  0.860519, Average Loss  0.870612, Time  0.263268
2021-09-11 06:13:25.264986 : Epoch 10, Batch    673, Loss  0.546481, Average Loss  0.544184, Time  0.239926
2021-09-11 06:13:25.641890 : Epoch  4, Batch    300, Loss  0.854165, Average Loss  0.868919, Time  0.176742
2021-09-11 06:13:26.864957 : Epoch 10, Batch    674, Loss  0.530752, Average Loss  0.544157, Time  0.292998
2021-09-11 06:13:27.018055 : Epoch  2, Batch   1443, Loss  0.881757, Average Loss  0.870664, Time  0.258360
2021-09-11 06:13:27.259738 : Epoch  4, Batch    301, Loss  0.846648, Average Loss  0.868939, Time  0.177447
2021-09-11 06:13:28.467221 : Epoch 10, Batch    675, Loss  0.549585, Average Loss  0.544264, Time  0.237084
2021-09-11 06:13:28.897894 : Epoch  4, Batch    302, Loss  0.845643, Average Loss  0.868816, Time  0.177168
2021-09-11 06:13:29.622823 : Epoch  2, Batch   1444, Loss  0.861300, Average Loss  0.870552, Time  0.244584
2021-09-11 06:13:30.035015 : Epoch 10, Batch    676, Loss  0.533182, Average Loss  0.544249, Time  0.232954
2021-09-11 06:13:30.520741 : Epoch  4, Batch    303, Loss  0.887772, Average Loss  0.868887, Time  0.173113
2021-09-11 06:13:31.602961 : Epoch 10, Batch    677, Loss  0.547960, Average Loss  0.544244, Time  0.248525
2021-09-11 06:13:32.195305 : Epoch  4, Batch    304, Loss  0.865887, Average Loss  0.868824, Time  0.169861
2021-09-11 06:13:33.143114 : Epoch 10, Batch    678, Loss  0.543559, Average Loss  0.544251, Time  0.234914
2021-09-11 06:13:33.834040 : Epoch  4, Batch    305, Loss  0.873551, Average Loss  0.868970, Time  0.180822
2021-09-11 06:13:34.669811 : Epoch 10, Batch    679, Loss  0.541807, Average Loss  0.544288, Time  0.234887
2021-09-11 06:13:35.469059 : Epoch  4, Batch    306, Loss  0.857762, Average Loss  0.868872, Time  0.173727
2021-09-11 06:13:36.202486 : Epoch 10, Batch    680, Loss  0.551701, Average Loss  0.544395, Time  0.235165
2021-09-11 06:13:37.097048 : Epoch  4, Batch    307, Loss  0.867109, Average Loss  0.868771, Time  0.173260
2021-09-11 06:13:37.724359 : Epoch 10, Batch    681, Loss  0.554397, Average Loss  0.544460, Time  0.230279
2021-09-11 06:13:38.720744 : Epoch  4, Batch    308, Loss  0.883341, Average Loss  0.868892, Time  0.172133
2021-09-11 06:13:39.247884 : Epoch 10, Batch    682, Loss  0.553805, Average Loss  0.544600, Time  0.230858
2021-09-11 06:13:40.373033 : Epoch  4, Batch    309, Loss  0.873685, Average Loss  0.868976, Time  0.187932
2021-09-11 06:13:40.785843 : Epoch 10, Batch    683, Loss  0.551139, Average Loss  0.544670, Time  0.234556
2021-09-11 06:13:42.007954 : Epoch  4, Batch    310, Loss  0.840653, Average Loss  0.868870, Time  0.171546
2021-09-11 06:13:42.336804 : Epoch 10, Batch    684, Loss  0.542531, Average Loss  0.544679, Time  0.234981
2021-09-11 06:13:43.635693 : Epoch  4, Batch    311, Loss  0.885924, Average Loss  0.868999, Time  0.181327
2021-09-11 06:13:43.888023 : Epoch 10, Batch    685, Loss  0.542296, Average Loss  0.544677, Time  0.234996
2021-09-11 06:13:45.238750 : Epoch  4, Batch    312, Loss  0.877538, Average Loss  0.869065, Time  0.170030
2021-09-11 06:13:45.428288 : Epoch 10, Batch    686, Loss  0.545250, Average Loss  0.544603, Time  0.233202
2021-09-11 06:13:46.893034 : Epoch  4, Batch    313, Loss  0.872959, Average Loss  0.869118, Time  0.174029
2021-09-11 06:13:46.965985 : Epoch 10, Batch    687, Loss  0.548580, Average Loss  0.544487, Time  0.232047
2021-09-11 06:13:48.527748 : Epoch  4, Batch    314, Loss  0.865850, Average Loss  0.869143, Time  0.170020
2021-09-11 06:13:50.174906 : Epoch  4, Batch    315, Loss  0.849843, Average Loss  0.868988, Time  0.174226
2021-09-11 06:13:50.951448 : Epoch 10, Batch    688, Loss  0.560534, Average Loss  0.544591, Time  0.233312
2021-09-11 06:13:51.813030 : Epoch  4, Batch    316, Loss  0.872305, Average Loss  0.869049, Time  0.172139
2021-09-11 06:13:52.564053 : Epoch 10, Batch    689, Loss  0.552788, Average Loss  0.544639, Time  0.316735
2021-09-11 06:13:53.467026 : Epoch  4, Batch    317, Loss  0.841605, Average Loss  0.868787, Time  0.175375
2021-09-11 06:13:54.092938 : Epoch 10, Batch    690, Loss  0.537926, Average Loss  0.544592, Time  0.235340
2021-09-11 06:13:55.125893 : Epoch  4, Batch    318, Loss  0.852768, Average Loss  0.868503, Time  0.170714
2021-09-11 06:13:55.630354 : Epoch 10, Batch    691, Loss  0.527430, Average Loss  0.544475, Time  0.235732
2021-09-11 06:13:56.791760 : Epoch  4, Batch    319, Loss  0.889780, Average Loss  0.868637, Time  0.172683
2021-09-11 06:13:57.181401 : Epoch 10, Batch    692, Loss  0.544820, Average Loss  0.544484, Time  0.235003
2021-09-11 06:13:58.420028 : Epoch  4, Batch    320, Loss  0.862853, Average Loss  0.868636, Time  0.176055
2021-09-11 06:13:58.745957 : Epoch 10, Batch    693, Loss  0.542337, Average Loss  0.544526, Time  0.233741
2021-09-11 06:14:00.075033 : Epoch  4, Batch    321, Loss  0.863138, Average Loss  0.868634, Time  0.172240
2021-09-11 06:14:00.304861 : Epoch 10, Batch    694, Loss  0.559629, Average Loss  0.544592, Time  0.230749
2021-09-11 06:14:01.712794 : Epoch  4, Batch    322, Loss  0.873979, Average Loss  0.868540, Time  0.174104
2021-09-11 06:14:01.832005 : Epoch 10, Batch    695, Loss  0.542177, Average Loss  0.544580, Time  0.230494
2021-09-11 06:14:03.345034 : Epoch  4, Batch    323, Loss  0.866891, Average Loss  0.868416, Time  0.169752
2021-09-11 06:14:03.362111 : Epoch 10, Batch    696, Loss  0.540015, Average Loss  0.544550, Time  0.231111
2021-09-11 06:14:04.981038 : Epoch  4, Batch    324, Loss  0.851187, Average Loss  0.868154, Time  0.170009
2021-09-11 06:14:06.510036 : Epoch 10, Batch    698, Loss  0.541866, Average Loss  0.544480, Time  0.232744
2021-09-11 06:14:06.676290 : Epoch  4, Batch    325, Loss  0.854424, Average Loss  0.868143, Time  0.177377
2021-09-11 06:14:08.040997 : Epoch 10, Batch    699, Loss  0.534784, Average Loss  0.544452, Time  0.234450
2021-09-11 06:14:08.299775 : Epoch  4, Batch    326, Loss  0.862925, Average Loss  0.868036, Time  0.177168
2021-09-11 06:14:09.574093 : Epoch 10, Batch    700, Loss  0.542583, Average Loss  0.544523, Time  0.235373
2021-09-11 06:14:09.943841 : Epoch  4, Batch    327, Loss  0.868840, Average Loss  0.867851, Time  0.169977
2021-09-11 06:14:11.104140 : Epoch 10, Batch    701, Loss  0.534154, Average Loss  0.544443, Time  0.234215
2021-09-11 06:14:11.585032 : Epoch  4, Batch    328, Loss  0.875480, Average Loss  0.867865, Time  0.170359
2021-09-11 06:14:12.635921 : Epoch 10, Batch    702, Loss  0.560229, Average Loss  0.544564, Time  0.233729
2021-09-11 06:14:13.207029 : Epoch  4, Batch    329, Loss  0.872816, Average Loss  0.868020, Time  0.172671
2021-09-11 06:14:14.173479 : Epoch 10, Batch    703, Loss  0.551925, Average Loss  0.544588, Time  0.235438
2021-09-11 06:14:14.856038 : Epoch  4, Batch    330, Loss  0.893925, Average Loss  0.867998, Time  0.174234
2021-09-11 06:14:15.724840 : Epoch 10, Batch    704, Loss  0.531733, Average Loss  0.544571, Time  0.233479
2021-09-11 06:14:16.483762 : Epoch  4, Batch    331, Loss  0.852102, Average Loss  0.867726, Time  0.169575
2021-09-11 06:14:17.332106 : Epoch 10, Batch    705, Loss  0.547751, Average Loss  0.544587, Time  0.283024
2021-09-11 06:14:18.110023 : Epoch  4, Batch    332, Loss  0.878022, Average Loss  0.867746, Time  0.172869
2021-09-11 06:14:18.881098 : Epoch 10, Batch    706, Loss  0.541388, Average Loss  0.544563, Time  0.233919
2021-09-11 06:14:19.737037 : Epoch  4, Batch    333, Loss  0.848328, Average Loss  0.867628, Time  0.169787
2021-09-11 06:14:20.430488 : Epoch 10, Batch    707, Loss  0.525353, Average Loss  0.544523, Time  0.233497
2021-09-11 06:14:21.369033 : Epoch  4, Batch    334, Loss  0.900267, Average Loss  0.867695, Time  0.174145
2021-09-11 06:14:21.976079 : Epoch 10, Batch    708, Loss  0.548348, Average Loss  0.544564, Time  0.231694
2021-09-11 06:14:23.005036 : Epoch  4, Batch    335, Loss  0.855219, Average Loss  0.867666, Time  0.171240
2021-09-11 06:14:23.534962 : Epoch 10, Batch    709, Loss  0.543180, Average Loss  0.544555, Time  0.235291
2021-09-11 06:14:24.653029 : Epoch  4, Batch    336, Loss  0.889683, Average Loss  0.867808, Time  0.173641
2021-09-11 06:14:25.075946 : Epoch 10, Batch    710, Loss  0.550006, Average Loss  0.544515, Time  0.230875
2021-09-11 06:14:26.302019 : Epoch  4, Batch    337, Loss  0.898898, Average Loss  0.867932, Time  0.175673
2021-09-11 06:14:26.638954 : Epoch 10, Batch    711, Loss  0.554094, Average Loss  0.544569, Time  0.234105
2021-09-11 06:14:27.944030 : Epoch  4, Batch    338, Loss  0.905403, Average Loss  0.868063, Time  0.170059
2021-09-11 06:14:28.168861 : Epoch 10, Batch    712, Loss  0.554997, Average Loss  0.544717, Time  0.232743
2021-09-11 06:14:29.616862 : Epoch  4, Batch    339, Loss  0.865985, Average Loss  0.867915, Time  0.172537
2021-09-11 06:14:29.706821 : Epoch 10, Batch    713, Loss  0.551848, Average Loss  0.544785, Time  0.233308
2021-09-11 06:14:31.258040 : Epoch 10, Batch    714, Loss  0.554469, Average Loss  0.544792, Time  0.234657
2021-09-11 06:14:31.279877 : Epoch  4, Batch    340, Loss  0.858495, Average Loss  0.867983, Time  0.175166
2021-09-11 06:14:32.780933 : Epoch 10, Batch    715, Loss  0.562640, Average Loss  0.544903, Time  0.233859
2021-09-11 06:14:32.926791 : Epoch  4, Batch    341, Loss  0.837684, Average Loss  0.867675, Time  0.169622
2021-09-11 06:14:34.384887 : Epoch 10, Batch    716, Loss  0.543672, Average Loss  0.544859, Time  0.317326
2021-09-11 06:14:34.564030 : Epoch  4, Batch    342, Loss  0.873906, Average Loss  0.867701, Time  0.175213
2021-09-11 06:14:35.914430 : Epoch 10, Batch    717, Loss  0.542274, Average Loss  0.544770, Time  0.235047
2021-09-11 06:14:36.201786 : Epoch  4, Batch    343, Loss  0.897253, Average Loss  0.867817, Time  0.173559
2021-09-11 06:14:37.840752 : Epoch  4, Batch    344, Loss  0.848596, Average Loss  0.867784, Time  0.177996
2021-09-11 06:14:39.479763 : Epoch  4, Batch    345, Loss  0.864828, Average Loss  0.867744, Time  0.178221
2021-09-11 06:14:41.119790 : Epoch  4, Batch    346, Loss  0.866157, Average Loss  0.867709, Time  0.182614
2021-09-11 06:14:42.748887 : Epoch  4, Batch    347, Loss  0.879699, Average Loss  0.867654, Time  0.175111
2021-09-11 06:14:44.415817 : Epoch  4, Batch    348, Loss  0.877354, Average Loss  0.867748, Time  0.172932
2021-09-11 06:14:46.041823 : Epoch  4, Batch    349, Loss  0.854366, Average Loss  0.867695, Time  0.176990
2021-09-11 06:14:47.678746 : Epoch  4, Batch    350, Loss  0.844935, Average Loss  0.867521, Time  0.178265
2021-09-11 06:14:49.321895 : Epoch  4, Batch    351, Loss  0.908885, Average Loss  0.867800, Time  0.190321
2021-09-11 06:14:50.934028 : Epoch  4, Batch    352, Loss  0.876384, Average Loss  0.867890, Time  0.173277
2021-09-11 06:14:52.571756 : Epoch  4, Batch    353, Loss  0.875052, Average Loss  0.867930, Time  0.172771
2021-09-11 06:14:54.214819 : Epoch  4, Batch    354, Loss  0.861571, Average Loss  0.867825, Time  0.175308
2021-09-11 06:14:55.854747 : Epoch  4, Batch    355, Loss  0.872426, Average Loss  0.867697, Time  0.176832
2021-09-11 06:14:57.493832 : Epoch  4, Batch    356, Loss  0.890043, Average Loss  0.867778, Time  0.174710
2021-09-11 06:14:59.145790 : Epoch  4, Batch    357, Loss  0.826231, Average Loss  0.867618, Time  0.169607
2021-09-11 06:15:00.779819 : Epoch  4, Batch    358, Loss  0.872896, Average Loss  0.867673, Time  0.176033
2021-09-11 06:15:02.391852 : Epoch  4, Batch    359, Loss  0.856771, Average Loss  0.867625, Time  0.179837
2021-09-11 06:15:04.017026 : Epoch  4, Batch    360, Loss  0.854043, Average Loss  0.867563, Time  0.185065
2021-09-11 06:15:05.628762 : Epoch  4, Batch    361, Loss  0.878582, Average Loss  0.867665, Time  0.170985
2021-09-11 06:15:07.262815 : Epoch  4, Batch    362, Loss  0.880856, Average Loss  0.867681, Time  0.184901
2021-09-11 06:15:08.903858 : Epoch  4, Batch    363, Loss  0.870477, Average Loss  0.867562, Time  0.172408
2021-09-11 06:15:10.538032 : Epoch  4, Batch    364, Loss  0.890198, Average Loss  0.867632, Time  0.170052
2021-09-11 06:15:12.159900 : Epoch  4, Batch    365, Loss  0.856908, Average Loss  0.867609, Time  0.171007
2021-09-11 06:15:13.782033 : Epoch  4, Batch    366, Loss  0.897432, Average Loss  0.867780, Time  0.175200
2021-09-11 06:15:15.437043 : Epoch  4, Batch    367, Loss  0.857372, Average Loss  0.867726, Time  0.169719
2021-09-11 06:15:32.692712 : CheckPoint: Validation Loss  0.00022271, Best Loss  0.00021858
2021-09-11 06:15:34.242216 : Epoch 10, Batch    718, Loss  0.537989, Average Loss  0.544767, Time  0.234991
2021-09-11 06:15:35.762901 : Epoch 10, Batch    719, Loss  0.551090, Average Loss  0.544779, Time  0.230634
2021-09-11 06:15:37.294905 : Epoch 10, Batch    720, Loss  0.544691, Average Loss  0.544811, Time  0.230487
2021-09-11 06:15:38.836362 : Epoch 10, Batch    721, Loss  0.546359, Average Loss  0.544802, Time  0.258481
2021-09-11 06:15:40.369102 : Epoch 10, Batch    722, Loss  0.554757, Average Loss  0.544880, Time  0.230931
2021-09-11 06:15:42.032980 : Epoch 10, Batch    723, Loss  0.540856, Average Loss  0.544842, Time  0.232020
2021-09-11 06:15:43.589045 : Epoch 10, Batch    724, Loss  0.528722, Average Loss  0.544697, Time  0.260592
2021-09-11 06:15:45.127349 : Epoch 10, Batch    725, Loss  0.539839, Average Loss  0.544695, Time  0.233493
2021-09-11 06:15:46.667882 : Epoch 10, Batch    726, Loss  0.552443, Average Loss  0.544765, Time  0.231252
2021-09-11 06:15:48.282895 : Epoch 10, Batch    727, Loss  0.537921, Average Loss  0.544705, Time  0.311211
2021-09-11 06:15:49.807324 : Epoch 10, Batch    728, Loss  0.539781, Average Loss  0.544705, Time  0.231411
2021-09-11 06:15:51.327355 : Epoch 10, Batch    729, Loss  0.539079, Average Loss  0.544723, Time  0.230685
2021-09-11 06:15:52.854149 : Epoch 10, Batch    730, Loss  0.540015, Average Loss  0.544739, Time  0.230594
2021-09-11 06:15:54.379095 : Epoch 10, Batch    731, Loss  0.541192, Average Loss  0.544793, Time  0.230755
2021-09-11 06:15:55.895276 : Epoch 10, Batch    732, Loss  0.547143, Average Loss  0.544892, Time  0.232067
2021-09-11 06:15:57.420113 : Epoch 10, Batch    733, Loss  0.546292, Average Loss  0.544909, Time  0.230801
2021-09-11 06:15:58.939821 : Epoch 10, Batch    734, Loss  0.548628, Average Loss  0.544990, Time  0.230870
2021-09-11 06:16:00.445155 : Epoch 10, Batch    735, Loss  0.547092, Average Loss  0.544986, Time  0.230763
2021-09-11 06:16:01.972843 : Epoch 10, Batch    736, Loss  0.534466, Average Loss  0.544980, Time  0.231085
2021-09-11 06:16:03.494386 : Epoch 10, Batch    737, Loss  0.542753, Average Loss  0.544907, Time  0.231423
2021-09-11 06:16:05.025097 : Epoch 10, Batch    738, Loss  0.548443, Average Loss  0.544908, Time  0.237490
2021-09-11 06:16:06.549350 : Epoch 10, Batch    739, Loss  0.549822, Average Loss  0.544883, Time  0.236164
2021-09-11 06:16:08.103847 : Epoch 10, Batch    740, Loss  0.542383, Average Loss  0.544892, Time  0.232264
2021-09-11 06:16:09.715875 : Epoch 10, Batch    741, Loss  0.550635, Average Loss  0.544918, Time  0.314448
2021-09-11 06:16:11.256935 : Epoch 10, Batch    742, Loss  0.549305, Average Loss  0.544979, Time  0.230417
2021-09-11 06:16:12.777357 : Epoch 10, Batch    743, Loss  0.540009, Average Loss  0.544920, Time  0.230720
2021-09-11 06:16:14.294692 : Epoch 10, Batch    744, Loss  0.544848, Average Loss  0.544954, Time  0.230803
2021-09-11 06:16:15.819133 : Epoch 10, Batch    745, Loss  0.561915, Average Loss  0.545029, Time  0.231400
2021-09-11 06:16:17.353140 : Epoch 10, Batch    746, Loss  0.548322, Average Loss  0.545095, Time  0.236432
2021-09-11 06:16:18.883389 : Epoch 10, Batch    747, Loss  0.539396, Average Loss  0.545084, Time  0.234300
2021-09-11 06:16:20.406406 : Epoch 10, Batch    748, Loss  0.542690, Average Loss  0.545057, Time  0.231380
2021-09-11 06:16:21.948308 : Epoch 10, Batch    749, Loss  0.551277, Average Loss  0.545036, Time  0.230737
2021-09-11 06:16:23.481639 : Epoch 10, Batch    750, Loss  0.541949, Average Loss  0.545025, Time  0.233479
2021-09-11 06:16:25.017406 : Epoch 10, Batch    751, Loss  0.547442, Average Loss  0.545041, Time  0.231373
2021-09-11 06:16:26.572010 : Epoch 10, Batch    752, Loss  0.552273, Average Loss  0.545047, Time  0.237574
2021-09-11 06:16:28.111390 : Epoch 10, Batch    753, Loss  0.542568, Average Loss  0.545032, Time  0.231117
2021-09-11 06:16:29.635451 : Epoch 10, Batch    754, Loss  0.541960, Average Loss  0.545016, Time  0.230896
2021-09-11 06:16:31.238486 : Epoch 10, Batch    755, Loss  0.553764, Average Loss  0.545027, Time  0.312972
2021-09-11 06:16:32.770836 : Epoch 10, Batch    756, Loss  0.546809, Average Loss  0.545053, Time  0.230788
2021-09-11 06:16:34.295344 : Epoch 10, Batch    757, Loss  0.541052, Average Loss  0.545063, Time  0.230535
2021-09-11 06:16:35.903512 : Epoch 10, Batch    758, Loss  0.547181, Average Loss  0.545066, Time  0.312066
2021-09-11 06:16:37.436348 : Epoch 10, Batch    759, Loss  0.546938, Average Loss  0.545107, Time  0.230688
2021-09-11 06:16:38.961056 : Epoch 10, Batch    760, Loss  0.550156, Average Loss  0.545147, Time  0.231530
2021-09-11 06:16:40.491319 : Epoch 10, Batch    761, Loss  0.548727, Average Loss  0.545183, Time  0.234623
2021-09-11 06:16:42.027017 : Epoch 10, Batch    762, Loss  0.535513, Average Loss  0.545093, Time  0.230691
2021-09-11 06:16:43.558419 : Epoch 10, Batch    763, Loss  0.538737, Average Loss  0.545069, Time  0.230923
2021-09-11 06:16:45.096834 : Epoch 10, Batch    764, Loss  0.537972, Average Loss  0.545060, Time  0.238575
2021-09-11 06:16:46.610930 : Epoch 10, Batch    765, Loss  0.554977, Average Loss  0.545106, Time  0.234513
2021-09-11 06:16:48.132807 : Epoch 10, Batch    766, Loss  0.541183, Average Loss  0.545128, Time  0.230938
2021-09-11 06:16:49.664963 : Epoch 10, Batch    767, Loss  0.547350, Average Loss  0.545167, Time  0.235109
2021-09-11 06:16:51.225860 : Epoch 10, Batch    768, Loss  0.541916, Average Loss  0.545207, Time  0.231277
2021-09-11 06:16:52.741039 : Epoch 10, Batch    769, Loss  0.543552, Average Loss  0.545138, Time  0.230850
2021-09-11 06:16:54.271825 : Epoch 10, Batch    770, Loss  0.528762, Average Loss  0.545043, Time  0.233540
2021-09-11 06:16:55.797083 : Epoch 10, Batch    771, Loss  0.541902, Average Loss  0.545061, Time  0.231767
2021-09-11 06:16:57.408870 : Epoch 10, Batch    772, Loss  0.537198, Average Loss  0.545005, Time  0.310903
2021-09-11 06:16:58.938351 : Epoch 10, Batch    773, Loss  0.540757, Average Loss  0.545023, Time  0.230648
2021-09-11 06:17:00.455090 : Epoch 10, Batch    774, Loss  0.532273, Average Loss  0.544959, Time  0.230713
2021-09-11 06:17:01.990375 : Epoch 10, Batch    775, Loss  0.542325, Average Loss  0.544886, Time  0.230845
2021-09-11 06:17:03.517823 : Epoch 10, Batch    776, Loss  0.559330, Average Loss  0.544923, Time  0.231063
2021-09-11 06:17:05.044366 : Epoch 10, Batch    777, Loss  0.560086, Average Loss  0.545021, Time  0.230825
2021-09-11 06:17:06.571169 : Epoch 10, Batch    778, Loss  0.521426, Average Loss  0.544858, Time  0.234730
2021-09-11 06:17:08.099023 : Epoch 10, Batch    779, Loss  0.565045, Average Loss  0.544938, Time  0.231126
2021-09-11 06:17:09.645118 : Epoch 10, Batch    780, Loss  0.548503, Average Loss  0.544968, Time  0.234717
2021-09-11 06:17:11.176326 : Epoch 10, Batch    781, Loss  0.560340, Average Loss  0.545023, Time  0.230545
2021-09-11 06:17:12.702943 : Epoch 10, Batch    782, Loss  0.538162, Average Loss  0.544936, Time  0.231119
2021-09-11 06:17:14.246003 : Epoch 10, Batch    783, Loss  0.555366, Average Loss  0.544974, Time  0.235015
2021-09-11 06:17:15.775899 : Epoch 10, Batch    784, Loss  0.552432, Average Loss  0.545027, Time  0.231215
2021-09-11 06:17:17.305788 : Epoch 10, Batch    785, Loss  0.546024, Average Loss  0.545036, Time  0.231210
2021-09-11 06:17:18.890850 : Epoch 10, Batch    786, Loss  0.544362, Average Loss  0.544987, Time  0.293894
2021-09-11 06:17:20.457013 : Epoch 10, Batch    787, Loss  0.547341, Average Loss  0.545054, Time  0.236134
2021-09-11 06:17:20.515579 : Saving Model after 10-th Epoch.
2021-09-11 06:17:24.184620 : Epoch Finished.
2021-09-11 06:17:34.538678 : CheckPoint: Validation Loss  0.00030164, Best Loss  0.00029375
2021-09-11 06:17:37.123909 : Epoch  2, Batch   1445, Loss  0.862989, Average Loss  0.870486, Time  0.243217
2021-09-11 06:17:39.721857 : Epoch  2, Batch   1446, Loss  0.856916, Average Loss  0.870412, Time  0.242184
2021-09-11 06:17:42.337893 : Epoch  2, Batch   1447, Loss  0.844817, Average Loss  0.870329, Time  0.239377
2021-09-11 06:17:44.934053 : Epoch  2, Batch   1448, Loss  0.874690, Average Loss  0.870354, Time  0.241324
2021-09-11 06:17:47.536067 : Epoch  2, Batch   1449, Loss  0.867756, Average Loss  0.870414, Time  0.242206
2021-09-11 06:17:50.131855 : Epoch  2, Batch   1450, Loss  0.860179, Average Loss  0.870360, Time  0.241396
2021-09-11 06:17:52.732758 : Epoch  2, Batch   1451, Loss  0.840146, Average Loss  0.870109, Time  0.241333
2021-09-11 06:17:55.326312 : Epoch  2, Batch   1452, Loss  0.866396, Average Loss  0.870091, Time  0.240234
2021-09-11 06:17:57.913865 : Epoch  2, Batch   1453, Loss  0.859163, Average Loss  0.870048, Time  0.237601
2021-09-11 06:18:00.523378 : Epoch  2, Batch   1454, Loss  0.870084, Average Loss  0.870007, Time  0.242406
2021-09-11 06:18:03.128406 : Epoch  2, Batch   1455, Loss  0.859265, Average Loss  0.869989, Time  0.240950
2021-09-11 06:18:05.728383 : Epoch  2, Batch   1456, Loss  0.860331, Average Loss  0.870038, Time  0.241660
2021-09-11 06:18:08.348027 : Epoch  2, Batch   1457, Loss  0.879346, Average Loss  0.870008, Time  0.244927
2021-09-11 06:18:10.950364 : Epoch  2, Batch   1458, Loss  0.876516, Average Loss  0.870065, Time  0.241671
2021-09-11 06:18:13.564916 : Epoch  2, Batch   1459, Loss  0.867641, Average Loss  0.870119, Time  0.243944
2021-09-11 06:18:16.170322 : Epoch  2, Batch   1460, Loss  0.882587, Average Loss  0.870218, Time  0.239900
2021-09-11 06:18:18.775077 : Epoch  2, Batch   1461, Loss  0.859738, Average Loss  0.870170, Time  0.241073
2021-09-11 06:18:21.394463 : Epoch  2, Batch   1462, Loss  0.881377, Average Loss  0.870268, Time  0.241568
2021-09-11 06:18:24.007932 : Epoch  2, Batch   1463, Loss  0.867044, Average Loss  0.870203, Time  0.242159
2021-09-11 06:18:26.603380 : Epoch  2, Batch   1464, Loss  0.869687, Average Loss  0.870087, Time  0.242992
2021-09-11 06:18:29.185772 : Epoch  2, Batch   1465, Loss  0.882426, Average Loss  0.870228, Time  0.242341
2021-09-11 06:18:31.780792 : Epoch  2, Batch   1466, Loss  0.871315, Average Loss  0.870248, Time  0.241785
2021-09-11 06:18:34.370049 : Epoch  2, Batch   1467, Loss  0.855238, Average Loss  0.870229, Time  0.237947
2021-09-11 06:18:37.006042 : Epoch  2, Batch   1468, Loss  0.875147, Average Loss  0.870212, Time  0.241546
2021-09-11 06:18:39.634966 : Epoch  2, Batch   1469, Loss  0.873232, Average Loss  0.870327, Time  0.240313
2021-09-11 06:18:42.267813 : Epoch  2, Batch   1470, Loss  0.865079, Average Loss  0.870237, Time  0.240752
2021-09-11 06:18:44.875402 : Epoch  2, Batch   1471, Loss  0.868012, Average Loss  0.870284, Time  0.242526
2021-09-11 06:18:47.548816 : Epoch  2, Batch   1472, Loss  0.869132, Average Loss  0.870317, Time  0.239429
2021-09-11 06:18:50.177441 : Epoch  2, Batch   1473, Loss  0.853388, Average Loss  0.870188, Time  0.242357
2021-09-11 06:18:52.828999 : Epoch  2, Batch   1474, Loss  0.859658, Average Loss  0.870216, Time  0.244900
2021-09-11 06:18:55.453830 : Epoch  2, Batch   1475, Loss  0.884522, Average Loss  0.870246, Time  0.241154
2021-09-11 06:18:58.081873 : Epoch  2, Batch   1476, Loss  0.871336, Average Loss  0.870159, Time  0.241752
2021-09-11 06:19:00.707393 : Epoch  2, Batch   1477, Loss  0.888731, Average Loss  0.870255, Time  0.243591
2021-09-11 06:19:03.318116 : Epoch  2, Batch   1478, Loss  0.868769, Average Loss  0.870285, Time  0.239615
2021-09-11 06:19:05.912955 : Epoch  2, Batch   1479, Loss  0.874666, Average Loss  0.870363, Time  0.239317
2021-09-11 06:19:08.534918 : Epoch  2, Batch   1480, Loss  0.876302, Average Loss  0.870385, Time  0.244638
2021-09-11 06:19:11.146292 : Epoch  2, Batch   1481, Loss  0.865595, Average Loss  0.870393, Time  0.241329
2021-09-11 06:19:13.737174 : Epoch  2, Batch   1482, Loss  0.870547, Average Loss  0.870299, Time  0.239741
2021-09-11 06:19:16.344550 : Epoch  2, Batch   1483, Loss  0.863211, Average Loss  0.870218, Time  0.242522
2021-09-11 06:19:18.952319 : Epoch  2, Batch   1484, Loss  0.878261, Average Loss  0.870189, Time  0.244241
2021-09-11 06:19:21.554067 : Epoch  2, Batch   1485, Loss  0.877825, Average Loss  0.870126, Time  0.243722
2021-09-11 06:19:24.167824 : Epoch  2, Batch   1486, Loss  0.878603, Average Loss  0.870198, Time  0.239684
2021-09-11 06:19:26.796412 : Epoch  2, Batch   1487, Loss  0.875252, Average Loss  0.870200, Time  0.243508
2021-09-11 06:19:29.442983 : Epoch  2, Batch   1488, Loss  0.861669, Average Loss  0.870137, Time  0.238496
2021-09-11 06:19:32.095446 : Epoch  2, Batch   1489, Loss  0.878494, Average Loss  0.870096, Time  0.245127
2021-09-11 06:19:34.713787 : Epoch  2, Batch   1490, Loss  0.860252, Average Loss  0.870151, Time  0.238943
2021-09-11 06:19:37.354980 : Epoch  2, Batch   1491, Loss  0.874127, Average Loss  0.870214, Time  0.242694
2021-09-11 06:19:39.965388 : Epoch  2, Batch   1492, Loss  0.890345, Average Loss  0.870297, Time  0.242907
2021-09-11 06:19:42.625116 : Epoch  2, Batch   1493, Loss  0.885263, Average Loss  0.870392, Time  0.250912
2021-09-11 06:19:45.264022 : Epoch  2, Batch   1494, Loss  0.861998, Average Loss  0.870310, Time  0.238330
2021-09-11 06:19:47.902296 : Epoch  2, Batch   1495, Loss  0.878024, Average Loss  0.870336, Time  0.240759
2021-09-11 06:19:50.523901 : Epoch  2, Batch   1496, Loss  0.872469, Average Loss  0.870397, Time  0.238446
2021-09-11 06:19:53.146973 : Epoch  2, Batch   1497, Loss  0.881851, Average Loss  0.870542, Time  0.238209
2021-09-11 06:19:55.755376 : Epoch  2, Batch   1498, Loss  0.864902, Average Loss  0.870419, Time  0.237689
2021-09-11 06:19:56.412729 : CheckPoint: Validation Loss  0.00064215, Best Loss  0.00057296
2021-09-11 06:19:58.068957 : Epoch  4, Batch    368, Loss  0.866272, Average Loss  0.867695, Time  0.185868
2021-09-11 06:19:58.378091 : Epoch  2, Batch   1499, Loss  0.880747, Average Loss  0.870544, Time  0.241928
2021-09-11 06:19:59.718994 : Epoch  4, Batch    369, Loss  0.860696, Average Loss  0.867726, Time  0.175920
2021-09-11 06:20:01.007958 : Epoch  2, Batch   1500, Loss  0.885689, Average Loss  0.870731, Time  0.241895
2021-09-11 06:20:01.353882 : Epoch  4, Batch    370, Loss  0.844200, Average Loss  0.867702, Time  0.170500
2021-09-11 06:20:02.990018 : Epoch  4, Batch    371, Loss  0.841394, Average Loss  0.867581, Time  0.173592
2021-09-11 06:20:03.641043 : Epoch  2, Batch   1501, Loss  0.871501, Average Loss  0.870802, Time  0.248174
2021-09-11 06:20:04.643010 : Epoch  4, Batch    372, Loss  0.877028, Average Loss  0.867763, Time  0.171665
2021-09-11 06:20:06.269037 : Epoch  4, Batch    373, Loss  0.841561, Average Loss  0.867603, Time  0.170660
2021-09-11 06:20:07.903063 : Epoch  4, Batch    374, Loss  0.855796, Average Loss  0.867543, Time  0.169753
2021-09-11 06:20:08.880697 : Epoch  2, Batch   1503, Loss  0.880280, Average Loss  0.870840, Time  0.240735
2021-09-11 06:20:09.549030 : Epoch  4, Batch    375, Loss  0.873335, Average Loss  0.867542, Time  0.170038
2021-09-11 06:20:11.185808 : Epoch  4, Batch    376, Loss  0.884873, Average Loss  0.867661, Time  0.173950
2021-09-11 06:20:11.472487 : Epoch  2, Batch   1504, Loss  0.852782, Average Loss  0.870679, Time  0.241390
2021-09-11 06:20:12.852037 : Epoch  4, Batch    377, Loss  0.862276, Average Loss  0.867614, Time  0.179272
2021-09-11 06:20:14.173188 : Epoch  2, Batch   1505, Loss  0.871462, Average Loss  0.870650, Time  0.261460
2021-09-11 06:20:14.487028 : Epoch  4, Batch    378, Loss  0.891649, Average Loss  0.867759, Time  0.171558
2021-09-11 06:20:16.087333 : Epoch  4, Batch    379, Loss  0.863107, Average Loss  0.867718, Time  0.169946
2021-09-11 06:20:16.869395 : Epoch  2, Batch   1506, Loss  0.876580, Average Loss  0.870661, Time  0.259560
2021-09-11 06:20:17.706819 : Epoch  4, Batch    380, Loss  0.831848, Average Loss  0.867442, Time  0.169968
2021-09-11 06:20:19.348835 : Epoch  4, Batch    381, Loss  0.867970, Average Loss  0.867453, Time  0.186960
2021-09-11 06:20:19.574468 : Epoch  2, Batch   1507, Loss  0.861967, Average Loss  0.870704, Time  0.260755
2021-09-11 06:20:20.972033 : Epoch  4, Batch    382, Loss  0.884640, Average Loss  0.867614, Time  0.174609
2021-09-11 06:20:22.201863 : Epoch  2, Batch   1508, Loss  0.870090, Average Loss  0.870634, Time  0.243539
2021-09-11 06:20:22.614034 : Epoch  4, Batch    383, Loss  0.880455, Average Loss  0.867530, Time  0.179305
2021-09-11 06:20:24.242082 : Epoch  4, Batch    384, Loss  0.850409, Average Loss  0.867554, Time  0.170787
2021-09-11 06:20:24.833026 : Epoch  2, Batch   1509, Loss  0.849119, Average Loss  0.870664, Time  0.243122
2021-09-11 06:20:25.884788 : Epoch  4, Batch    385, Loss  0.896380, Average Loss  0.867678, Time  0.170786
2021-09-11 06:20:27.432762 : Epoch  2, Batch   1510, Loss  0.883037, Average Loss  0.870704, Time  0.241853
2021-09-11 06:20:27.519027 : Epoch  4, Batch    386, Loss  0.829428, Average Loss  0.867339, Time  0.189953
2021-09-11 06:20:29.170763 : Epoch  4, Batch    387, Loss  0.864395, Average Loss  0.867341, Time  0.172048
2021-09-11 06:20:30.044831 : Epoch  2, Batch   1511, Loss  0.894688, Average Loss  0.870806, Time  0.238142
2021-09-11 06:20:30.815818 : Epoch  4, Batch    388, Loss  0.873751, Average Loss  0.867422, Time  0.170127
2021-09-11 06:20:32.452776 : Epoch  4, Batch    389, Loss  0.860035, Average Loss  0.867365, Time  0.172019
2021-09-11 06:20:32.762076 : Epoch  2, Batch   1512, Loss  0.889483, Average Loss  0.870966, Time  0.266758
2021-09-11 06:20:34.092817 : Epoch  4, Batch    390, Loss  0.876513, Average Loss  0.867291, Time  0.176049
2021-09-11 06:20:35.460445 : Epoch  2, Batch   1513, Loss  0.875858, Average Loss  0.871085, Time  0.261711
2021-09-11 06:20:35.721030 : Epoch  4, Batch    391, Loss  0.862621, Average Loss  0.867395, Time  0.172358
2021-09-11 06:20:37.348828 : Epoch  4, Batch    392, Loss  0.868788, Average Loss  0.867437, Time  0.175017
2021-09-11 06:20:38.159777 : Epoch  2, Batch   1514, Loss  0.863785, Average Loss  0.871018, Time  0.259462
2021-09-11 06:20:38.993762 : Epoch  4, Batch    393, Loss  0.863376, Average Loss  0.867439, Time  0.169892
2021-09-11 06:20:40.643937 : Epoch  4, Batch    394, Loss  0.891499, Average Loss  0.867503, Time  0.173399
2021-09-11 06:20:40.843747 : Epoch  2, Batch   1515, Loss  0.879117, Average Loss  0.871067, Time  0.258770
2021-09-11 06:20:42.280022 : Epoch  4, Batch    395, Loss  0.871732, Average Loss  0.867672, Time  0.179957
2021-09-11 06:20:43.530008 : Epoch  2, Batch   1516, Loss  0.841666, Average Loss  0.870956, Time  0.261625
2021-09-11 06:20:43.918846 : Epoch  4, Batch    396, Loss  0.861077, Average Loss  0.867600, Time  0.181474
2021-09-11 06:20:45.528474 : Epoch  4, Batch    397, Loss  0.859898, Average Loss  0.867650, Time  0.172665
2021-09-11 06:20:46.190747 : Epoch  2, Batch   1517, Loss  0.889085, Average Loss  0.871023, Time  0.237941
2021-09-11 06:20:47.129033 : Epoch  4, Batch    398, Loss  0.858525, Average Loss  0.867656, Time  0.169971
2021-09-11 06:20:48.785807 : Epoch  4, Batch    399, Loss  0.860378, Average Loss  0.867737, Time  0.176464
2021-09-11 06:20:48.816822 : Epoch  2, Batch   1518, Loss  0.888756, Average Loss  0.871130, Time  0.243851
2021-09-11 06:20:50.429033 : Epoch  4, Batch    400, Loss  0.860553, Average Loss  0.867700, Time  0.174462
2021-09-11 06:20:51.418906 : Epoch  2, Batch   1519, Loss  0.857768, Average Loss  0.871055, Time  0.239815
2021-09-11 06:20:52.060023 : Epoch  4, Batch    401, Loss  0.859548, Average Loss  0.867624, Time  0.169830
2021-09-11 06:20:53.676028 : Epoch  4, Batch    402, Loss  0.859561, Average Loss  0.867577, Time  0.173276
2021-09-11 06:20:54.006800 : Epoch  2, Batch   1520, Loss  0.887684, Average Loss  0.871260, Time  0.239234
2021-09-11 06:20:55.308745 : Epoch  4, Batch    403, Loss  0.855616, Average Loss  0.867637, Time  0.173074
2021-09-11 06:20:56.605711 : Epoch  2, Batch   1521, Loss  0.831443, Average Loss  0.871036, Time  0.239815
2021-09-11 06:20:56.961031 : Epoch  4, Batch    404, Loss  0.840714, Average Loss  0.867508, Time  0.170741
2021-09-11 06:20:58.583795 : Epoch  4, Batch    405, Loss  0.861218, Average Loss  0.867323, Time  0.170101
2021-09-11 06:20:59.211795 : Epoch  2, Batch   1522, Loss  0.856188, Average Loss  0.870930, Time  0.242866
2021-09-11 06:21:00.202871 : Epoch  4, Batch    406, Loss  0.890350, Average Loss  0.867439, Time  0.173561
2021-09-11 06:21:01.824033 : Epoch  4, Batch    407, Loss  0.905132, Average Loss  0.867595, Time  0.169981
2021-09-11 06:21:03.488038 : Epoch  4, Batch    408, Loss  0.860128, Average Loss  0.867697, Time  0.169802
2021-09-11 06:21:04.414733 : Epoch  2, Batch   1524, Loss  0.868594, Average Loss  0.870884, Time  0.241474
2021-09-11 06:21:05.122874 : Epoch  4, Batch    409, Loss  0.887999, Average Loss  0.867648, Time  0.173723
2021-09-11 06:21:06.762749 : Epoch  4, Batch    410, Loss  0.880423, Average Loss  0.867870, Time  0.174058
2021-09-11 06:21:07.023839 : Epoch  2, Batch   1525, Loss  0.861242, Average Loss  0.870740, Time  0.237252
2021-09-11 06:21:08.394766 : Epoch  4, Batch    411, Loss  0.869261, Average Loss  0.867962, Time  0.186537
2021-09-11 06:21:09.715946 : Epoch  2, Batch   1526, Loss  0.874696, Average Loss  0.870688, Time  0.261467
2021-09-11 06:21:10.007783 : Epoch  4, Batch    412, Loss  0.865738, Average Loss  0.868038, Time  0.170416
2021-09-11 06:21:11.652040 : Epoch  4, Batch    413, Loss  0.864532, Average Loss  0.868065, Time  0.181034
2021-09-11 06:21:12.401895 : Epoch  2, Batch   1527, Loss  0.880048, Average Loss  0.870764, Time  0.259175
2021-09-11 06:21:13.278031 : Epoch  4, Batch    414, Loss  0.869951, Average Loss  0.868046, Time  0.173607
2021-09-11 06:21:14.889828 : Epoch  4, Batch    415, Loss  0.853187, Average Loss  0.867924, Time  0.174996
2021-09-11 06:21:15.047926 : Epoch  2, Batch   1528, Loss  0.866550, Average Loss  0.870735, Time  0.240042
2021-09-11 06:21:16.535916 : Epoch  4, Batch    416, Loss  0.870388, Average Loss  0.867921, Time  0.179863
2021-09-11 06:21:17.742803 : Epoch  2, Batch   1529, Loss  0.886299, Average Loss  0.870818, Time  0.265139
2021-09-11 06:21:18.165025 : Epoch  4, Batch    417, Loss  0.855082, Average Loss  0.867879, Time  0.169626
2021-09-11 06:21:19.788741 : Epoch  4, Batch    418, Loss  0.861488, Average Loss  0.867755, Time  0.175835
2021-09-11 06:21:20.437722 : Epoch  2, Batch   1530, Loss  0.887656, Average Loss  0.870898, Time  0.260752
2021-09-11 06:21:21.383924 : Epoch  4, Batch    419, Loss  0.861668, Average Loss  0.867692, Time  0.170084
2021-09-11 06:21:23.015804 : Epoch  4, Batch    420, Loss  0.871813, Average Loss  0.867781, Time  0.171762
2021-09-11 06:21:23.124827 : Epoch  2, Batch   1531, Loss  0.885093, Average Loss  0.871032, Time  0.258718
2021-09-11 06:21:24.643807 : Epoch  4, Batch    421, Loss  0.839936, Average Loss  0.867554, Time  0.184691
2021-09-11 06:21:25.833305 : Epoch  2, Batch   1532, Loss  0.881190, Average Loss  0.871114, Time  0.262879
2021-09-11 06:21:26.297742 : Epoch  4, Batch    422, Loss  0.856763, Average Loss  0.867501, Time  0.170862
2021-09-11 06:21:27.909076 : Epoch  4, Batch    423, Loss  0.886041, Average Loss  0.867636, Time  0.171181
2021-09-11 06:21:28.437926 : Epoch  2, Batch   1533, Loss  0.852246, Average Loss  0.871012, Time  0.244143
2021-09-11 06:21:29.533834 : Epoch  4, Batch    424, Loss  0.859008, Average Loss  0.867657, Time  0.172452
2021-09-11 06:21:31.050885 : Epoch  2, Batch   1534, Loss  0.892223, Average Loss  0.871085, Time  0.242668
2021-09-11 06:21:31.165038 : Epoch  4, Batch    425, Loss  0.854342, Average Loss  0.867653, Time  0.182357
2021-09-11 06:21:32.787859 : Epoch  4, Batch    426, Loss  0.859111, Average Loss  0.867640, Time  0.169928
2021-09-11 06:21:33.669391 : Epoch  2, Batch   1535, Loss  0.864851, Average Loss  0.871137, Time  0.243251
2021-09-11 06:21:34.418875 : Epoch  4, Batch    427, Loss  0.877183, Average Loss  0.867701, Time  0.169990
2021-09-11 06:21:36.073036 : Epoch  4, Batch    428, Loss  0.871202, Average Loss  0.867740, Time  0.169940
2021-09-11 06:21:36.381861 : Epoch  2, Batch   1536, Loss  0.862198, Average Loss  0.871165, Time  0.264901
2021-09-11 06:21:37.702835 : Epoch  4, Batch    429, Loss  0.886069, Average Loss  0.867851, Time  0.170263
2021-09-11 06:21:39.079845 : Epoch  2, Batch   1537, Loss  0.877297, Average Loss  0.871253, Time  0.263386
2021-09-11 06:21:39.329023 : Epoch  4, Batch    430, Loss  0.896788, Average Loss  0.868000, Time  0.170914
2021-09-11 06:21:40.935845 : Epoch  4, Batch    431, Loss  0.839607, Average Loss  0.867879, Time  0.170846
2021-09-11 06:21:41.686721 : Epoch  2, Batch   1538, Loss  0.875437, Average Loss  0.871300, Time  0.245151
2021-09-11 06:21:42.542028 : Epoch  4, Batch    432, Loss  0.857911, Average Loss  0.867827, Time  0.170603
2021-09-11 06:21:44.175794 : Epoch  4, Batch    433, Loss  0.882875, Average Loss  0.867911, Time  0.171780
2021-09-11 06:21:44.282971 : Epoch  2, Batch   1539, Loss  0.878427, Average Loss  0.871378, Time  0.242578
2021-09-11 06:21:45.813035 : Epoch  4, Batch    434, Loss  0.879695, Average Loss  0.867848, Time  0.169798
2021-09-11 06:21:46.885839 : Epoch  2, Batch   1540, Loss  0.851079, Average Loss  0.871363, Time  0.240356
2021-09-11 06:21:47.440759 : Epoch  4, Batch    435, Loss  0.871396, Average Loss  0.867953, Time  0.173297
2021-09-11 06:21:49.063032 : Epoch  4, Batch    436, Loss  0.873795, Average Loss  0.867991, Time  0.170062
2021-09-11 06:21:49.482931 : Epoch  2, Batch   1541, Loss  0.876835, Average Loss  0.871364, Time  0.239776
2021-09-11 06:21:50.707050 : Epoch  4, Batch    437, Loss  0.893352, Average Loss  0.868066, Time  0.169582
2021-09-11 06:21:52.091889 : Epoch  2, Batch   1542, Loss  0.859408, Average Loss  0.871245, Time  0.241411
2021-09-11 06:21:52.355820 : Epoch  4, Batch    438, Loss  0.875832, Average Loss  0.868131, Time  0.176193
2021-09-11 06:21:53.990727 : Epoch  4, Batch    439, Loss  0.855912, Average Loss  0.868061, Time  0.179178
2021-09-11 06:21:54.701305 : Epoch  2, Batch   1543, Loss  0.875146, Average Loss  0.871263, Time  0.239585
2021-09-11 06:21:55.605037 : Epoch  4, Batch    440, Loss  0.880344, Average Loss  0.868074, Time  0.176141
2021-09-11 06:21:57.263044 : Epoch  4, Batch    441, Loss  0.876973, Average Loss  0.868119, Time  0.184691
2021-09-11 06:21:57.321246 : Epoch  2, Batch   1544, Loss  0.873774, Average Loss  0.871312, Time  0.244251
2021-09-11 06:21:58.885807 : Epoch  4, Batch    442, Loss  0.872067, Average Loss  0.868111, Time  0.171667
2021-09-11 06:22:00.497748 : Epoch  4, Batch    443, Loss  0.870046, Average Loss  0.868067, Time  0.170991
2021-09-11 06:22:02.131030 : Epoch  4, Batch    444, Loss  0.871106, Average Loss  0.868078, Time  0.174223
2021-09-11 06:22:03.746033 : Epoch  4, Batch    445, Loss  0.868668, Average Loss  0.868177, Time  0.172635
2021-09-11 06:22:05.369035 : Epoch  4, Batch    446, Loss  0.881497, Average Loss  0.868191, Time  0.173842
2021-09-11 06:22:07.003832 : Epoch  4, Batch    447, Loss  0.864062, Average Loss  0.868302, Time  0.180171
2021-09-11 06:22:08.671036 : Epoch  4, Batch    448, Loss  0.845851, Average Loss  0.868097, Time  0.174807
2021-09-11 06:22:10.293028 : Epoch  4, Batch    449, Loss  0.849107, Average Loss  0.867925, Time  0.169698
2021-09-11 06:22:11.905031 : Epoch  4, Batch    450, Loss  0.884881, Average Loss  0.867926, Time  0.180835
2021-09-11 06:22:13.532834 : Epoch  4, Batch    451, Loss  0.861127, Average Loss  0.868112, Time  0.171475
2021-09-11 06:22:15.177025 : Epoch  4, Batch    452, Loss  0.863512, Average Loss  0.868065, Time  0.171255
2021-09-11 06:22:16.827848 : Epoch  4, Batch    453, Loss  0.846139, Average Loss  0.867992, Time  0.170886
2021-09-11 06:22:18.456033 : Epoch  4, Batch    454, Loss  0.839646, Average Loss  0.867790, Time  0.173760
2021-09-11 06:22:20.095890 : Epoch  4, Batch    455, Loss  0.858950, Average Loss  0.867645, Time  0.169757
2021-09-11 06:22:21.759036 : Epoch  4, Batch    456, Loss  0.867707, Average Loss  0.867688, Time  0.185222
2021-09-11 06:22:23.395769 : Epoch  4, Batch    457, Loss  0.842696, Average Loss  0.867534, Time  0.174604
2021-09-11 06:22:25.025031 : Epoch  4, Batch    458, Loss  0.876703, Average Loss  0.867456, Time  0.170755
2021-09-11 06:22:26.636745 : Epoch  4, Batch    459, Loss  0.861608, Average Loss  0.867502, Time  0.170136
2021-09-11 06:22:28.267034 : Epoch  4, Batch    460, Loss  0.875180, Average Loss  0.867624, Time  0.173350
2021-09-11 06:22:29.901024 : Epoch  4, Batch    461, Loss  0.836291, Average Loss  0.867300, Time  0.169556
2021-09-11 06:22:31.531807 : Epoch  4, Batch    462, Loss  0.849770, Average Loss  0.867260, Time  0.170171
2021-09-11 06:22:33.174887 : Epoch  4, Batch    463, Loss  0.882161, Average Loss  0.867346, Time  0.177071
2021-09-11 06:22:34.799045 : Epoch  4, Batch    464, Loss  0.839465, Average Loss  0.867134, Time  0.170118
2021-09-11 06:22:36.410733 : Epoch  4, Batch    465, Loss  0.891453, Average Loss  0.867223, Time  0.174628
2021-09-11 06:22:38.055774 : Epoch  4, Batch    466, Loss  0.873514, Average Loss  0.867071, Time  0.176244
2021-09-11 06:22:39.702747 : Epoch  4, Batch    467, Loss  0.892550, Average Loss  0.867343, Time  0.173904
2021-09-11 06:26:00.417778 : CheckPoint: Validation Loss  0.00029534, Best Loss  0.00029375
2021-09-11 06:26:03.127241 : Epoch  2, Batch   1545, Loss  0.881970, Average Loss  0.871381, Time  0.274543
2021-09-11 06:26:05.808131 : Epoch  2, Batch   1546, Loss  0.874899, Average Loss  0.871336, Time  0.259560
2021-09-11 06:26:08.421366 : Epoch  2, Batch   1547, Loss  0.889331, Average Loss  0.871433, Time  0.244704
2021-09-11 06:26:11.024386 : Epoch  2, Batch   1548, Loss  0.902643, Average Loss  0.871660, Time  0.242436
2021-09-11 06:26:13.633810 : Epoch  2, Batch   1549, Loss  0.893087, Average Loss  0.871775, Time  0.240015
2021-09-11 06:26:16.250136 : Epoch  2, Batch   1550, Loss  0.872595, Average Loss  0.871628, Time  0.239406
2021-09-11 06:26:18.940435 : Epoch  2, Batch   1551, Loss  0.854718, Average Loss  0.871631, Time  0.260476
2021-09-11 06:26:21.626878 : Epoch  2, Batch   1552, Loss  0.874572, Average Loss  0.871590, Time  0.261328
2021-09-11 06:26:24.224313 : Epoch  2, Batch   1553, Loss  0.852066, Average Loss  0.871503, Time  0.241305
2021-09-11 06:26:26.821202 : Epoch  2, Batch   1554, Loss  0.854974, Average Loss  0.871478, Time  0.245021
2021-09-11 06:26:29.435587 : Epoch  2, Batch   1555, Loss  0.865694, Average Loss  0.871465, Time  0.241541
2021-09-11 06:26:32.043855 : Epoch  2, Batch   1556, Loss  0.865646, Average Loss  0.871434, Time  0.241657
2021-09-11 06:26:34.650790 : Epoch  2, Batch   1557, Loss  0.872949, Average Loss  0.871474, Time  0.244209
2021-09-11 06:26:37.247297 : Epoch  2, Batch   1558, Loss  0.875067, Average Loss  0.871635, Time  0.239009
2021-09-11 06:26:39.938783 : Epoch  2, Batch   1559, Loss  0.872001, Average Loss  0.871650, Time  0.261861
2021-09-11 06:26:42.622917 : Epoch  2, Batch   1560, Loss  0.856510, Average Loss  0.871551, Time  0.258749
2021-09-11 06:26:45.280036 : Epoch  2, Batch   1561, Loss  0.877230, Average Loss  0.871447, Time  0.240879
2021-09-11 06:26:47.908816 : Epoch  2, Batch   1562, Loss  0.867414, Average Loss  0.871499, Time  0.244851
2021-09-11 06:26:50.502857 : Epoch  2, Batch   1563, Loss  0.895497, Average Loss  0.871647, Time  0.239821
2021-09-11 06:26:53.136737 : Epoch  2, Batch   1564, Loss  0.871196, Average Loss  0.871671, Time  0.239479
2021-09-11 06:26:55.744273 : Epoch  2, Batch   1565, Loss  0.873320, Average Loss  0.871704, Time  0.242679
2021-09-11 06:26:58.430869 : Epoch  2, Batch   1566, Loss  0.875572, Average Loss  0.871713, Time  0.262690
2021-09-11 06:27:01.109337 : Epoch  2, Batch   1567, Loss  0.871282, Average Loss  0.871743, Time  0.259600
2021-09-11 06:27:03.787851 : Epoch  2, Batch   1568, Loss  0.861056, Average Loss  0.871713, Time  0.259855
2021-09-11 06:27:06.455885 : Epoch  2, Batch   1569, Loss  0.872249, Average Loss  0.871653, Time  0.259635
2021-09-11 06:27:09.109102 : Epoch  2, Batch   1570, Loss  0.875028, Average Loss  0.871681, Time  0.239787
2021-09-11 06:27:11.734396 : Epoch  2, Batch   1571, Loss  0.894584, Average Loss  0.871767, Time  0.243651
2021-09-11 06:27:14.431109 : Epoch  2, Batch   1572, Loss  0.855011, Average Loss  0.871662, Time  0.257411
2021-09-11 06:27:17.116158 : Epoch  2, Batch   1573, Loss  0.862491, Average Loss  0.871580, Time  0.261013
2021-09-11 06:27:19.803845 : Epoch  2, Batch   1574, Loss  0.883631, Average Loss  0.871632, Time  0.262192
2021-09-11 06:27:20.419071 : CheckPoint: Validation Loss  0.00062641, Best Loss  0.00057296
2021-09-11 06:27:22.037868 : Epoch  4, Batch    468, Loss  0.853643, Average Loss  0.867323, Time  0.176183
2021-09-11 06:27:22.507049 : Epoch  2, Batch   1575, Loss  0.876094, Average Loss  0.871648, Time  0.267344
2021-09-11 06:27:23.645773 : Epoch  4, Batch    469, Loss  0.888771, Average Loss  0.867454, Time  0.172494
2021-09-11 06:27:25.163909 : Epoch  2, Batch   1576, Loss  0.873957, Average Loss  0.871713, Time  0.238555
2021-09-11 06:27:25.253008 : Epoch  4, Batch    470, Loss  0.884563, Average Loss  0.867552, Time  0.180207
2021-09-11 06:27:26.893016 : Epoch  4, Batch    471, Loss  0.881571, Average Loss  0.867588, Time  0.173595
2021-09-11 06:27:27.795991 : Epoch  2, Batch   1577, Loss  0.877078, Average Loss  0.871678, Time  0.241830
2021-09-11 06:27:28.499013 : Epoch  4, Batch    472, Loss  0.871106, Average Loss  0.867546, Time  0.170052
2021-09-11 06:27:30.162831 : Epoch  4, Batch    473, Loss  0.884036, Average Loss  0.867666, Time  0.178366
2021-09-11 06:27:30.439778 : Epoch  2, Batch   1578, Loss  0.860480, Average Loss  0.871507, Time  0.240922
2021-09-11 06:27:31.817219 : Epoch  4, Batch    474, Loss  0.893342, Average Loss  0.867646, Time  0.172432
2021-09-11 06:27:33.076399 : Epoch  2, Batch   1579, Loss  0.866766, Average Loss  0.871479, Time  0.239645
2021-09-11 06:27:33.442026 : Epoch  4, Batch    475, Loss  0.881838, Average Loss  0.867768, Time  0.173462
2021-09-11 06:27:35.051025 : Epoch  4, Batch    476, Loss  0.874034, Average Loss  0.867925, Time  0.169549
2021-09-11 06:27:35.695898 : Epoch  2, Batch   1580, Loss  0.874613, Average Loss  0.871461, Time  0.242817
2021-09-11 06:27:36.690030 : Epoch  4, Batch    477, Loss  0.859815, Average Loss  0.867860, Time  0.170172
2021-09-11 06:27:38.306761 : Epoch  2, Batch   1581, Loss  0.865497, Average Loss  0.871426, Time  0.242283
2021-09-11 06:27:38.314755 : Epoch  4, Batch    478, Loss  0.840105, Average Loss  0.867704, Time  0.173428
2021-09-11 06:27:39.973037 : Epoch  4, Batch    479, Loss  0.851157, Average Loss  0.867626, Time  0.169495
2021-09-11 06:27:40.999831 : Epoch  2, Batch   1582, Loss  0.861232, Average Loss  0.871245, Time  0.258828
2021-09-11 06:27:41.601028 : Epoch  4, Batch    480, Loss  0.859145, Average Loss  0.867641, Time  0.172022
2021-09-11 06:27:43.236755 : Epoch  4, Batch    481, Loss  0.829545, Average Loss  0.867474, Time  0.183950
2021-09-11 06:27:43.681283 : Epoch  2, Batch   1583, Loss  0.874404, Average Loss  0.871145, Time  0.240497
2021-09-11 06:27:44.884024 : Epoch  4, Batch    482, Loss  0.899383, Average Loss  0.867639, Time  0.176697
2021-09-11 06:27:46.313016 : Epoch  2, Batch   1584, Loss  0.876486, Average Loss  0.871052, Time  0.239914
2021-09-11 06:27:46.511036 : Epoch  4, Batch    483, Loss  0.838550, Average Loss  0.867485, Time  0.177178
2021-09-11 06:27:48.165860 : Epoch  4, Batch    484, Loss  0.919252, Average Loss  0.867713, Time  0.192701
2021-09-11 06:27:48.949840 : Epoch  2, Batch   1585, Loss  0.875045, Average Loss  0.871074, Time  0.245501
2021-09-11 06:27:49.821860 : Epoch  4, Batch    485, Loss  0.878434, Average Loss  0.867542, Time  0.173531
2021-09-11 06:27:51.491040 : Epoch  4, Batch    486, Loss  0.862944, Average Loss  0.867509, Time  0.191680
2021-09-11 06:27:51.553324 : Epoch  2, Batch   1586, Loss  0.866964, Average Loss  0.871135, Time  0.242137
2021-09-11 06:27:53.122039 : Epoch  4, Batch    487, Loss  0.858586, Average Loss  0.867545, Time  0.169815
2021-09-11 06:27:54.133791 : Epoch  2, Batch   1587, Loss  0.870117, Average Loss  0.871239, Time  0.238500
2021-09-11 06:27:54.745746 : Epoch  4, Batch    488, Loss  0.878338, Average Loss  0.867601, Time  0.172436
2021-09-11 06:27:56.394843 : Epoch  4, Batch    489, Loss  0.862008, Average Loss  0.867559, Time  0.177537
2021-09-11 06:27:56.742902 : Epoch  2, Batch   1588, Loss  0.876229, Average Loss  0.871310, Time  0.240631
2021-09-11 06:27:58.083034 : Epoch  4, Batch    490, Loss  0.845814, Average Loss  0.867577, Time  0.170925
2021-09-11 06:27:59.357842 : Epoch  2, Batch   1589, Loss  0.881541, Average Loss  0.871427, Time  0.242721
2021-09-11 06:27:59.708040 : Epoch  4, Batch    491, Loss  0.856203, Average Loss  0.867598, Time  0.169906
2021-09-11 06:28:01.330807 : Epoch  4, Batch    492, Loss  0.861833, Average Loss  0.867689, Time  0.169855
2021-09-11 06:28:01.985832 : Epoch  2, Batch   1590, Loss  0.845701, Average Loss  0.871314, Time  0.242114
2021-09-11 06:28:02.993386 : Epoch  4, Batch    493, Loss  0.865500, Average Loss  0.867563, Time  0.170508
2021-09-11 06:28:04.635040 : Epoch  4, Batch    494, Loss  0.855913, Average Loss  0.867340, Time  0.177687
2021-09-11 06:28:04.648150 : Epoch  2, Batch   1591, Loss  0.883798, Average Loss  0.871278, Time  0.239958
2021-09-11 06:28:06.278790 : Epoch  4, Batch    495, Loss  0.891643, Average Loss  0.867348, Time  0.177251
2021-09-11 06:28:07.298120 : Epoch  2, Batch   1592, Loss  0.873060, Average Loss  0.871205, Time  0.241563
2021-09-11 06:28:07.880762 : Epoch  4, Batch    496, Loss  0.864046, Average Loss  0.867445, Time  0.173154
2021-09-11 06:28:09.512742 : Epoch  4, Batch    497, Loss  0.837122, Average Loss  0.867312, Time  0.170331
2021-09-11 06:28:09.916127 : Epoch  2, Batch   1593, Loss  0.867364, Average Loss  0.871140, Time  0.241929
2021-09-11 06:28:11.153821 : Epoch  4, Batch    498, Loss  0.896766, Average Loss  0.867509, Time  0.181778
2021-09-11 06:28:12.511827 : Epoch  2, Batch   1594, Loss  0.904216, Average Loss  0.871367, Time  0.239460
2021-09-11 06:28:12.818792 : Epoch  4, Batch    499, Loss  0.842277, Average Loss  0.867310, Time  0.169781
2021-09-11 06:28:14.452734 : Epoch  4, Batch    500, Loss  0.862827, Average Loss  0.867353, Time  0.173395
2021-09-11 06:28:15.122809 : Epoch  2, Batch   1595, Loss  0.851821, Average Loss  0.871300, Time  0.243049
2021-09-11 06:28:16.103069 : Epoch  4, Batch    501, Loss  0.825984, Average Loss  0.867250, Time  0.172420
2021-09-11 06:28:17.750809 : Epoch  4, Batch    502, Loss  0.906726, Average Loss  0.867555, Time  0.170413
2021-09-11 06:28:19.406746 : Epoch  4, Batch    503, Loss  0.896462, Average Loss  0.867599, Time  0.176269
2021-09-11 06:28:20.351423 : Epoch  2, Batch   1597, Loss  0.900643, Average Loss  0.871368, Time  0.239526
2021-09-11 06:28:21.063147 : Epoch  4, Batch    504, Loss  0.879228, Average Loss  0.867665, Time  0.170330
2021-09-11 06:28:22.668914 : Epoch  4, Batch    505, Loss  0.879101, Average Loss  0.867693, Time  0.170097
2021-09-11 06:28:23.054975 : Epoch  2, Batch   1598, Loss  0.861299, Average Loss  0.871300, Time  0.260441
2021-09-11 06:28:24.321034 : Epoch  4, Batch    506, Loss  0.878050, Average Loss  0.867795, Time  0.173899
2021-09-11 06:28:25.660874 : Epoch  2, Batch   1599, Loss  0.859440, Average Loss  0.871204, Time  0.244676
2021-09-11 06:28:25.973792 : Epoch  4, Batch    507, Loss  0.864994, Average Loss  0.867784, Time  0.175738
2021-09-11 06:28:27.601727 : Epoch  4, Batch    508, Loss  0.861845, Average Loss  0.867677, Time  0.177991
2021-09-11 06:28:28.277370 : Epoch  2, Batch   1600, Loss  0.855745, Average Loss  0.871087, Time  0.241626
2021-09-11 06:28:29.247032 : Epoch  4, Batch    509, Loss  0.870552, Average Loss  0.867661, Time  0.186380
2021-09-11 06:28:30.898795 : Epoch  4, Batch    510, Loss  0.869706, Average Loss  0.867806, Time  0.176814
2021-09-11 06:28:30.934985 : Epoch  2, Batch   1601, Loss  0.879637, Average Loss  0.871136, Time  0.241473
2021-09-11 06:28:32.534741 : Epoch  4, Batch    511, Loss  0.872321, Average Loss  0.867738, Time  0.181926
2021-09-11 06:28:33.520721 : Epoch  2, Batch   1602, Loss  0.847649, Average Loss  0.871046, Time  0.242080
2021-09-11 06:28:34.150029 : Epoch  4, Batch    512, Loss  0.875083, Average Loss  0.867726, Time  0.169948
2021-09-11 06:28:35.782039 : Epoch  4, Batch    513, Loss  0.885907, Average Loss  0.867791, Time  0.174632
2021-09-11 06:28:36.125089 : Epoch  2, Batch   1603, Loss  0.877796, Average Loss  0.871134, Time  0.242336
2021-09-11 06:28:37.419036 : Epoch  4, Batch    514, Loss  0.861510, Average Loss  0.867769, Time  0.174570
2021-09-11 06:28:38.735430 : Epoch  2, Batch   1604, Loss  0.863561, Average Loss  0.871172, Time  0.240690
2021-09-11 06:28:39.049034 : Epoch  4, Batch    515, Loss  0.857882, Average Loss  0.867809, Time  0.170092
2021-09-11 06:28:40.676027 : Epoch  4, Batch    516, Loss  0.875475, Average Loss  0.867825, Time  0.179081
2021-09-11 06:28:41.331198 : Epoch  2, Batch   1605, Loss  0.874890, Average Loss  0.871154, Time  0.238360
2021-09-11 06:28:42.308035 : Epoch  4, Batch    517, Loss  0.889094, Average Loss  0.868062, Time  0.171010
2021-09-11 06:28:43.918031 : Epoch  4, Batch    518, Loss  0.865026, Average Loss  0.868124, Time  0.176050
2021-09-11 06:28:43.932103 : Epoch  2, Batch   1606, Loss  0.858563, Average Loss  0.871116, Time  0.238586
2021-09-11 06:28:45.503763 : Epoch  4, Batch    519, Loss  0.852536, Average Loss  0.867937, Time  0.170699
2021-09-11 06:28:46.646459 : Epoch  2, Batch   1607, Loss  0.876259, Average Loss  0.871191, Time  0.264714
2021-09-11 06:28:47.098776 : Epoch  4, Batch    520, Loss  0.909389, Average Loss  0.868170, Time  0.171823
2021-09-11 06:28:48.713856 : Epoch  4, Batch    521, Loss  0.849248, Average Loss  0.868101, Time  0.178963
2021-09-11 06:28:49.338365 : Epoch  2, Batch   1608, Loss  0.877732, Average Loss  0.871201, Time  0.262416
2021-09-11 06:28:50.350032 : Epoch  4, Batch    522, Loss  0.836371, Average Loss  0.867913, Time  0.169684
2021-09-11 06:28:51.946724 : Epoch  2, Batch   1609, Loss  0.851326, Average Loss  0.870950, Time  0.240900
2021-09-11 06:28:52.003864 : Epoch  4, Batch    523, Loss  0.864907, Average Loss  0.867903, Time  0.186759
2021-09-11 06:28:53.611103 : Epoch  4, Batch    524, Loss  0.892371, Average Loss  0.868109, Time  0.170003
2021-09-11 06:28:54.537335 : Epoch  2, Batch   1610, Loss  0.880803, Average Loss  0.871092, Time  0.242689
2021-09-11 06:28:55.239807 : Epoch  4, Batch    525, Loss  0.854891, Average Loss  0.868111, Time  0.172633
2021-09-11 06:28:56.873779 : Epoch  4, Batch    526, Loss  0.894621, Average Loss  0.868269, Time  0.177083
2021-09-11 06:28:57.142025 : Epoch  2, Batch   1611, Loss  0.876832, Average Loss  0.871237, Time  0.239611
2021-09-11 06:28:58.515026 : Epoch  4, Batch    527, Loss  0.871669, Average Loss  0.868284, Time  0.176063
2021-09-11 06:28:59.773262 : Epoch  2, Batch   1612, Loss  0.875484, Average Loss  0.871291, Time  0.238793
2021-09-11 06:29:00.143038 : Epoch  4, Batch    528, Loss  0.854572, Average Loss  0.868179, Time  0.170706
2021-09-11 06:29:01.769745 : Epoch  4, Batch    529, Loss  0.882546, Average Loss  0.868228, Time  0.175592
2021-09-11 06:29:02.405416 : Epoch  2, Batch   1613, Loss  0.852494, Average Loss  0.871115, Time  0.242963
2021-09-11 06:29:03.403803 : Epoch  4, Batch    530, Loss  0.874249, Average Loss  0.868129, Time  0.184333
2021-09-11 06:29:04.998822 : Epoch  2, Batch   1614, Loss  0.893888, Average Loss  0.871312, Time  0.242172
2021-09-11 06:29:05.043803 : Epoch  4, Batch    531, Loss  0.867449, Average Loss  0.868206, Time  0.170271
2021-09-11 06:29:06.634812 : Epoch  4, Batch    532, Loss  0.857035, Average Loss  0.868101, Time  0.173870
2021-09-11 06:29:07.607371 : Epoch  2, Batch   1615, Loss  0.888387, Average Loss  0.871506, Time  0.257280
2021-09-11 06:29:08.279793 : Epoch  4, Batch    533, Loss  0.839867, Average Loss  0.868059, Time  0.184960
2021-09-11 06:29:09.904829 : Epoch  4, Batch    534, Loss  0.845087, Average Loss  0.867783, Time  0.175190
2021-09-11 06:29:10.313927 : Epoch  2, Batch   1616, Loss  0.878369, Average Loss  0.871576, Time  0.265562
2021-09-11 06:29:11.550852 : Epoch  4, Batch    535, Loss  0.876806, Average Loss  0.867891, Time  0.171699
2021-09-11 06:29:13.013794 : Epoch  2, Batch   1617, Loss  0.894315, Average Loss  0.871759, Time  0.260283
2021-09-11 06:29:13.158804 : Epoch  4, Batch    536, Loss  0.856258, Average Loss  0.867724, Time  0.173257
2021-09-11 06:29:14.791039 : Epoch  4, Batch    537, Loss  0.882084, Average Loss  0.867640, Time  0.170377
2021-09-11 06:29:15.698609 : Epoch  2, Batch   1618, Loss  0.881116, Average Loss  0.871888, Time  0.260350
2021-09-11 06:29:16.419864 : Epoch  4, Batch    538, Loss  0.846495, Average Loss  0.867345, Time  0.171352
2021-09-11 06:29:18.043035 : Epoch  4, Batch    539, Loss  0.904428, Average Loss  0.867537, Time  0.169855
2021-09-11 06:29:18.298922 : Epoch  2, Batch   1619, Loss  0.883729, Average Loss  0.871974, Time  0.243804
2021-09-11 06:29:19.684817 : Epoch  4, Batch    540, Loss  0.878962, Average Loss  0.867640, Time  0.177825
2021-09-11 06:29:21.010473 : Epoch  2, Batch   1620, Loss  0.878653, Average Loss  0.872064, Time  0.259656
2021-09-11 06:29:21.362949 : Epoch  4, Batch    541, Loss  0.848882, Average Loss  0.867696, Time  0.170674
2021-09-11 06:29:22.996041 : Epoch  4, Batch    542, Loss  0.871922, Average Loss  0.867686, Time  0.171194
2021-09-11 06:29:23.679269 : Epoch  2, Batch   1621, Loss  0.874961, Average Loss  0.872066, Time  0.238858
2021-09-11 06:29:24.623048 : Epoch  4, Batch    543, Loss  0.873507, Average Loss  0.867567, Time  0.172529
2021-09-11 06:29:26.250746 : Epoch  4, Batch    544, Loss  0.868571, Average Loss  0.867667, Time  0.172409
2021-09-11 06:29:26.385382 : Epoch  2, Batch   1622, Loss  0.870628, Average Loss  0.872068, Time  0.264444
2021-09-11 06:29:27.880815 : Epoch  4, Batch    545, Loss  0.872581, Average Loss  0.867706, Time  0.169839
2021-09-11 06:29:28.989854 : Epoch  2, Batch   1623, Loss  0.845301, Average Loss  0.871932, Time  0.239717
2021-09-11 06:29:29.506885 : Epoch  4, Batch    546, Loss  0.825341, Average Loss  0.867502, Time  0.172253
2021-09-11 06:29:31.136798 : Epoch  4, Batch    547, Loss  0.885898, Average Loss  0.867533, Time  0.171890
2021-09-11 06:29:31.613804 : Epoch  2, Batch   1624, Loss  0.865544, Average Loss  0.871741, Time  0.243374
2021-09-11 06:29:32.767794 : Epoch  4, Batch    548, Loss  0.886560, Average Loss  0.867579, Time  0.178746
2021-09-11 06:29:34.207769 : Epoch  2, Batch   1625, Loss  0.869935, Average Loss  0.871820, Time  0.241986
2021-09-11 06:29:34.391782 : Epoch  4, Batch    549, Loss  0.896188, Average Loss  0.867788, Time  0.182744
2021-09-11 06:29:35.999034 : Epoch  4, Batch    550, Loss  0.866952, Average Loss  0.867898, Time  0.171913
2021-09-11 06:29:36.806766 : Epoch  2, Batch   1626, Loss  0.867797, Average Loss  0.871773, Time  0.241011
2021-09-11 06:29:37.628038 : Epoch  4, Batch    551, Loss  0.916145, Average Loss  0.867934, Time  0.175886
2021-09-11 06:29:39.243757 : Epoch  4, Batch    552, Loss  0.878680, Average Loss  0.867946, Time  0.170144
2021-09-11 06:29:39.501988 : Epoch  2, Batch   1627, Loss  0.867157, Average Loss  0.871645, Time  0.259217
2021-09-11 06:29:40.899825 : Epoch  4, Batch    553, Loss  0.893892, Average Loss  0.868040, Time  0.169646
2021-09-11 06:29:42.195981 : Epoch  2, Batch   1628, Loss  0.875907, Average Loss  0.871656, Time  0.263620
2021-09-11 06:29:42.529033 : Epoch  4, Batch    554, Loss  0.864817, Average Loss  0.868056, Time  0.170148
2021-09-11 06:29:44.180025 : Epoch  4, Batch    555, Loss  0.851561, Average Loss  0.867952, Time  0.170022
2021-09-11 06:29:44.861140 : Epoch  2, Batch   1629, Loss  0.886141, Average Loss  0.871725, Time  0.238249
2021-09-11 06:29:45.840019 : Epoch  4, Batch    556, Loss  0.875760, Average Loss  0.867880, Time  0.174980
2021-09-11 06:29:47.454754 : Epoch  4, Batch    557, Loss  0.859769, Average Loss  0.868048, Time  0.174627
2021-09-11 06:29:47.486029 : Epoch  2, Batch   1630, Loss  0.879862, Average Loss  0.871612, Time  0.242550
2021-09-11 06:29:49.071869 : Epoch  4, Batch    558, Loss  0.890143, Average Loss  0.868134, Time  0.176254
2021-09-11 06:29:50.155961 : Epoch  2, Batch   1631, Loss  0.870025, Average Loss  0.871648, Time  0.261397
2021-09-11 06:29:50.719876 : Epoch  4, Batch    559, Loss  0.860979, Average Loss  0.868155, Time  0.179979
2021-09-11 06:29:52.374806 : Epoch  4, Batch    560, Loss  0.837961, Average Loss  0.868075, Time  0.182284
2021-09-11 06:29:52.853921 : Epoch  2, Batch   1632, Loss  0.852237, Average Loss  0.871517, Time  0.262079
2021-09-11 06:29:54.015947 : Epoch  4, Batch    561, Loss  0.844050, Average Loss  0.867902, Time  0.172436
2021-09-11 06:29:55.541383 : Epoch  2, Batch   1633, Loss  0.871262, Average Loss  0.871454, Time  0.260082
2021-09-11 06:29:55.647797 : Epoch  4, Batch    562, Loss  0.863848, Average Loss  0.867817, Time  0.170084
2021-09-11 06:29:57.296856 : Epoch  4, Batch    563, Loss  0.852266, Average Loss  0.867726, Time  0.170091
2021-09-11 06:29:58.230846 : Epoch  2, Batch   1634, Loss  0.867941, Average Loss  0.871521, Time  0.262563
2021-09-11 06:29:58.901076 : Epoch  4, Batch    564, Loss  0.867031, Average Loss  0.867610, Time  0.174476
2021-09-11 06:30:00.547757 : Epoch  4, Batch    565, Loss  0.878690, Average Loss  0.867719, Time  0.171974
2021-09-11 06:30:00.916009 : Epoch  2, Batch   1635, Loss  0.886223, Average Loss  0.871565, Time  0.261522
2021-09-11 06:30:02.175741 : Epoch  4, Batch    566, Loss  0.891930, Average Loss  0.867692, Time  0.177708
2021-09-11 06:30:03.609125 : Epoch  2, Batch   1636, Loss  0.862233, Average Loss  0.871517, Time  0.259820
2021-09-11 06:30:03.796752 : Epoch  4, Batch    567, Loss  0.851218, Average Loss  0.867661, Time  0.171146
2021-09-11 06:30:06.203358 : Epoch  2, Batch   1637, Loss  0.879505, Average Loss  0.871571, Time  0.241673
2021-09-11 06:30:08.812866 : Epoch  2, Batch   1638, Loss  0.858298, Average Loss  0.871512, Time  0.244128
2021-09-11 06:30:11.427998 : Epoch  2, Batch   1639, Loss  0.864370, Average Loss  0.871399, Time  0.239924
2021-09-11 06:30:14.130096 : Epoch  2, Batch   1640, Loss  0.875680, Average Loss  0.871386, Time  0.260516
2021-09-11 06:30:16.825430 : Epoch  2, Batch   1641, Loss  0.874700, Average Loss  0.871344, Time  0.260478
2021-09-11 06:30:19.465778 : Epoch  2, Batch   1642, Loss  0.889499, Average Loss  0.871489, Time  0.239056
2021-09-11 06:30:22.076087 : Epoch  2, Batch   1643, Loss  0.868437, Average Loss  0.871422, Time  0.244086
2021-09-11 06:30:24.759100 : Epoch  2, Batch   1644, Loss  0.876963, Average Loss  0.871501, Time  0.256899
2021-09-11 06:34:28.132693 : CheckPoint: Validation Loss  0.00030310, Best Loss  0.00029375
2021-09-11 06:34:30.774117 : Epoch  2, Batch   1645, Loss  0.882327, Average Loss  0.871597, Time  0.241532
2021-09-11 06:34:33.365210 : Epoch  2, Batch   1646, Loss  0.868646, Average Loss  0.871656, Time  0.240802
2021-09-11 06:34:36.030953 : Epoch  2, Batch   1647, Loss  0.876222, Average Loss  0.871813, Time  0.255881
2021-09-11 06:34:38.719813 : Epoch  2, Batch   1648, Loss  0.858298, Average Loss  0.871731, Time  0.264467
2021-09-11 06:34:41.404250 : Epoch  2, Batch   1649, Loss  0.870878, Average Loss  0.871747, Time  0.258144
2021-09-11 06:34:44.110839 : Epoch  2, Batch   1650, Loss  0.852359, Average Loss  0.871708, Time  0.262842
2021-09-11 06:34:44.637735 : CheckPoint: Validation Loss  0.00059390, Best Loss  0.00057296
2021-09-11 06:34:46.246761 : Epoch  4, Batch    568, Loss  0.859477, Average Loss  0.867627, Time  0.177944
2021-09-11 06:34:46.815345 : Epoch  2, Batch   1651, Loss  0.872991, Average Loss  0.871872, Time  0.262269
2021-09-11 06:34:47.862003 : Epoch  4, Batch    569, Loss  0.849745, Average Loss  0.867572, Time  0.170254
2021-09-11 06:34:49.461774 : Epoch  4, Batch    570, Loss  0.863706, Average Loss  0.867670, Time  0.170082
2021-09-11 06:34:49.500119 : Epoch  2, Batch   1652, Loss  0.878645, Average Loss  0.871933, Time  0.261913
2021-09-11 06:34:51.092025 : Epoch  4, Batch    571, Loss  0.837146, Average Loss  0.867648, Time  0.171657
2021-09-11 06:34:52.159891 : Epoch  2, Batch   1653, Loss  0.872173, Average Loss  0.871998, Time  0.260015
2021-09-11 06:34:52.714787 : Epoch  4, Batch    572, Loss  0.844733, Average Loss  0.867487, Time  0.173136
2021-09-11 06:34:54.341035 : Epoch  4, Batch    573, Loss  0.877002, Average Loss  0.867664, Time  0.169971
2021-09-11 06:34:54.787756 : Epoch  2, Batch   1654, Loss  0.848591, Average Loss  0.871891, Time  0.240017
2021-09-11 06:34:55.979747 : Epoch  4, Batch    574, Loss  0.831880, Average Loss  0.867545, Time  0.170506
2021-09-11 06:34:57.418816 : Epoch  2, Batch   1655, Loss  0.865857, Average Loss  0.871924, Time  0.241501
2021-09-11 06:34:57.616751 : Epoch  4, Batch    575, Loss  0.831124, Average Loss  0.867334, Time  0.174384
2021-09-11 06:34:59.257026 : Epoch  4, Batch    576, Loss  0.883598, Average Loss  0.867327, Time  0.179343
2021-09-11 06:35:00.036594 : Epoch  2, Batch   1656, Loss  0.876097, Average Loss  0.872002, Time  0.243166
2021-09-11 06:35:00.894766 : Epoch  4, Batch    577, Loss  0.862384, Average Loss  0.867328, Time  0.190758
2021-09-11 06:35:02.541015 : Epoch  4, Batch    578, Loss  0.868945, Average Loss  0.867214, Time  0.170196
2021-09-11 06:35:02.652802 : Epoch  2, Batch   1657, Loss  0.859498, Average Loss  0.871903, Time  0.242088
2021-09-11 06:35:04.178078 : Epoch  4, Batch    579, Loss  0.914867, Average Loss  0.867473, Time  0.170776
2021-09-11 06:35:05.261019 : Epoch  2, Batch   1658, Loss  0.874871, Average Loss  0.871895, Time  0.243261
2021-09-11 06:35:05.802827 : Epoch  4, Batch    580, Loss  0.874533, Average Loss  0.867686, Time  0.170043
2021-09-11 06:35:07.431035 : Epoch  4, Batch    581, Loss  0.891718, Average Loss  0.867805, Time  0.175211
2021-09-11 06:35:07.864821 : Epoch  2, Batch   1659, Loss  0.887099, Average Loss  0.871992, Time  0.239575
2021-09-11 06:35:09.081780 : Epoch  4, Batch    582, Loss  0.859743, Average Loss  0.867681, Time  0.174667
2021-09-11 06:35:10.467467 : Epoch  2, Batch   1660, Loss  0.883650, Average Loss  0.871998, Time  0.237703
2021-09-11 06:35:10.733794 : Epoch  4, Batch    583, Loss  0.853288, Average Loss  0.867545, Time  0.171968
2021-09-11 06:35:12.357779 : Epoch  4, Batch    584, Loss  0.877198, Average Loss  0.867679, Time  0.169939
2021-09-11 06:35:13.110080 : Epoch  2, Batch   1661, Loss  0.874283, Average Loss  0.872070, Time  0.243237
2021-09-11 06:35:13.984760 : Epoch  4, Batch    585, Loss  0.858675, Average Loss  0.867490, Time  0.176361
2021-09-11 06:35:15.616782 : Epoch  4, Batch    586, Loss  0.888500, Average Loss  0.867786, Time  0.169943
2021-09-11 06:35:15.740211 : Epoch  2, Batch   1662, Loss  0.866530, Average Loss  0.871996, Time  0.240879
2021-09-11 06:35:17.261037 : Epoch  4, Batch    587, Loss  0.912615, Average Loss  0.868027, Time  0.170838
2021-09-11 06:35:18.355026 : Epoch  2, Batch   1663, Loss  0.848959, Average Loss  0.871906, Time  0.238732
2021-09-11 06:35:18.890791 : Epoch  4, Batch    588, Loss  0.850610, Average Loss  0.867911, Time  0.176158
2021-09-11 06:35:20.513780 : Epoch  4, Batch    589, Loss  0.861595, Average Loss  0.867919, Time  0.170051
2021-09-11 06:35:20.968360 : Epoch  2, Batch   1664, Loss  0.875320, Average Loss  0.871934, Time  0.243402
2021-09-11 06:35:22.129040 : Epoch  4, Batch    590, Loss  0.854188, Average Loss  0.867807, Time  0.169648
2021-09-11 06:35:23.570817 : Epoch  2, Batch   1665, Loss  0.853872, Average Loss  0.871791, Time  0.241635
2021-09-11 06:35:23.779759 : Epoch  4, Batch    591, Loss  0.857514, Average Loss  0.867782, Time  0.181198
2021-09-11 06:35:25.416778 : Epoch  4, Batch    592, Loss  0.874489, Average Loss  0.867810, Time  0.170267
2021-09-11 06:35:26.261822 : Epoch  2, Batch   1666, Loss  0.865853, Average Loss  0.871764, Time  0.258558
2021-09-11 06:35:27.044024 : Epoch  4, Batch    593, Loss  0.854827, Average Loss  0.867767, Time  0.169710
2021-09-11 06:35:28.681794 : Epoch  4, Batch    594, Loss  0.896876, Average Loss  0.867794, Time  0.179821
2021-09-11 06:35:28.864043 : Epoch  2, Batch   1667, Loss  0.883740, Average Loss  0.871906, Time  0.243194
2021-09-11 06:35:30.329826 : Epoch  4, Batch    595, Loss  0.866991, Average Loss  0.867771, Time  0.174103
2021-09-11 06:35:31.459490 : Epoch  2, Batch   1668, Loss  0.880014, Average Loss  0.871931, Time  0.238067
2021-09-11 06:35:31.947030 : Epoch  4, Batch    596, Loss  0.841890, Average Loss  0.867675, Time  0.171818
2021-09-11 06:35:33.566870 : Epoch  4, Batch    597, Loss  0.857104, Average Loss  0.867661, Time  0.179035
2021-09-11 06:35:34.087244 : Epoch  2, Batch   1669, Loss  0.858383, Average Loss  0.871856, Time  0.239616
2021-09-11 06:35:35.207850 : Epoch  4, Batch    598, Loss  0.854614, Average Loss  0.867641, Time  0.173734
2021-09-11 06:35:36.786903 : Epoch  2, Batch   1670, Loss  0.869407, Average Loss  0.871878, Time  0.264854
2021-09-11 06:35:36.825807 : Epoch  4, Batch    599, Loss  0.853089, Average Loss  0.867605, Time  0.170804
2021-09-11 06:35:38.484040 : Epoch  4, Batch    600, Loss  0.874230, Average Loss  0.867673, Time  0.176874
2021-09-11 06:35:39.481818 : Epoch  2, Batch   1671, Loss  0.863218, Average Loss  0.871854, Time  0.261534
2021-09-11 06:35:40.148822 : Epoch  4, Batch    601, Loss  0.891145, Average Loss  0.867831, Time  0.171281
2021-09-11 06:35:41.795753 : Epoch  4, Batch    602, Loss  0.870212, Average Loss  0.867884, Time  0.186911
2021-09-11 06:35:42.157146 : Epoch  2, Batch   1672, Loss  0.865730, Average Loss  0.871837, Time  0.258888
2021-09-11 06:35:43.438807 : Epoch  4, Batch    603, Loss  0.845689, Average Loss  0.867835, Time  0.174063
2021-09-11 06:35:44.835827 : Epoch  2, Batch   1673, Loss  0.884007, Average Loss  0.871990, Time  0.239896
2021-09-11 06:35:45.091761 : Epoch  4, Batch    604, Loss  0.878005, Average Loss  0.868021, Time  0.173256
2021-09-11 06:35:46.731033 : Epoch  4, Batch    605, Loss  0.895116, Average Loss  0.868191, Time  0.179605
2021-09-11 06:35:47.451074 : Epoch  2, Batch   1674, Loss  0.863579, Average Loss  0.872010, Time  0.238436
2021-09-11 06:35:48.378849 : Epoch  4, Batch    606, Loss  0.860803, Average Loss  0.868043, Time  0.170130
2021-09-11 06:35:50.020818 : Epoch  4, Batch    607, Loss  0.866159, Average Loss  0.867848, Time  0.170071
2021-09-11 06:35:50.102561 : Epoch  2, Batch   1675, Loss  0.869032, Average Loss  0.871932, Time  0.243486
2021-09-11 06:35:51.666760 : Epoch  4, Batch    608, Loss  0.889803, Average Loss  0.867996, Time  0.169869
2021-09-11 06:35:52.752463 : Epoch  2, Batch   1676, Loss  0.861528, Average Loss  0.871883, Time  0.242811
2021-09-11 06:35:53.321767 : Epoch  4, Batch    609, Loss  0.879772, Average Loss  0.867955, Time  0.169780
2021-09-11 06:35:54.965741 : Epoch  4, Batch    610, Loss  0.893813, Average Loss  0.868022, Time  0.169903
2021-09-11 06:35:55.458343 : Epoch  2, Batch   1677, Loss  0.882320, Average Loss  0.871851, Time  0.261299
2021-09-11 06:35:56.607807 : Epoch  4, Batch    611, Loss  0.862785, Average Loss  0.867990, Time  0.171943
2021-09-11 06:35:58.060943 : Epoch  2, Batch   1678, Loss  0.879254, Average Loss  0.871904, Time  0.242601
2021-09-11 06:35:58.245816 : Epoch  4, Batch    612, Loss  0.873452, Average Loss  0.868028, Time  0.169778
2021-09-11 06:35:59.890790 : Epoch  4, Batch    613, Loss  0.835653, Average Loss  0.867884, Time  0.169881
2021-09-11 06:36:00.658078 : Epoch  2, Batch   1679, Loss  0.837107, Average Loss  0.871716, Time  0.242304
2021-09-11 06:36:01.535790 : Epoch  4, Batch    614, Loss  0.883273, Average Loss  0.867951, Time  0.169778
2021-09-11 06:36:03.183758 : Epoch  4, Batch    615, Loss  0.853237, Average Loss  0.867951, Time  0.170088
2021-09-11 06:36:03.278901 : Epoch  2, Batch   1680, Loss  0.871343, Average Loss  0.871691, Time  0.238719
2021-09-11 06:36:04.814786 : Epoch  4, Batch    616, Loss  0.873926, Average Loss  0.867969, Time  0.169965
2021-09-11 06:36:05.906931 : Epoch  2, Batch   1681, Loss  0.855530, Average Loss  0.871641, Time  0.240898
2021-09-11 06:36:06.510749 : Epoch  4, Batch    617, Loss  0.879994, Average Loss  0.868093, Time  0.169793
2021-09-11 06:36:08.153796 : Epoch  4, Batch    618, Loss  0.854180, Average Loss  0.868057, Time  0.170325
2021-09-11 06:36:08.523411 : Epoch  2, Batch   1682, Loss  0.852367, Average Loss  0.871550, Time  0.238540
2021-09-11 06:36:09.805781 : Epoch  4, Batch    619, Loss  0.886419, Average Loss  0.868180, Time  0.170032
2021-09-11 06:36:11.145041 : Epoch  2, Batch   1683, Loss  0.874813, Average Loss  0.871608, Time  0.241920
2021-09-11 06:36:11.453009 : Epoch  4, Batch    620, Loss  0.863332, Average Loss  0.868138, Time  0.169640
2021-09-11 06:36:13.110795 : Epoch  4, Batch    621, Loss  0.884640, Average Loss  0.868361, Time  0.170113
2021-09-11 06:36:13.824571 : Epoch  2, Batch   1684, Loss  0.870028, Average Loss  0.871567, Time  0.239776
2021-09-11 06:36:14.765045 : Epoch  4, Batch    622, Loss  0.845420, Average Loss  0.868305, Time  0.169949
2021-09-11 06:36:16.412742 : Epoch  4, Batch    623, Loss  0.895454, Average Loss  0.868352, Time  0.170044
2021-09-11 06:36:16.452920 : Epoch  2, Batch   1685, Loss  0.852262, Average Loss  0.871439, Time  0.244928
2021-09-11 06:36:18.063014 : Epoch  4, Batch    624, Loss  0.878741, Average Loss  0.868450, Time  0.170027
2021-09-11 06:36:19.074839 : Epoch  2, Batch   1686, Loss  0.871083, Average Loss  0.871401, Time  0.238436
2021-09-11 06:36:19.712732 : Epoch  4, Batch    625, Loss  0.851503, Average Loss  0.868436, Time  0.170350
2021-09-11 06:36:21.351032 : Epoch  4, Batch    626, Loss  0.883727, Average Loss  0.868559, Time  0.169949
2021-09-11 06:36:21.696026 : Epoch  2, Batch   1687, Loss  0.859299, Average Loss  0.871321, Time  0.240868
2021-09-11 06:36:22.996017 : Epoch  4, Batch    627, Loss  0.870645, Average Loss  0.868527, Time  0.169894
2021-09-11 06:36:24.319860 : Epoch  2, Batch   1688, Loss  0.862494, Average Loss  0.871326, Time  0.238505
2021-09-11 06:36:24.621815 : Epoch  4, Batch    628, Loss  0.897494, Average Loss  0.868658, Time  0.169820
2021-09-11 06:36:26.272832 : Epoch  4, Batch    629, Loss  0.862164, Average Loss  0.868539, Time  0.169870
2021-09-11 06:36:26.992410 : Epoch  2, Batch   1689, Loss  0.871400, Average Loss  0.871290, Time  0.261520
2021-09-11 06:36:27.913016 : Epoch  4, Batch    630, Loss  0.830501, Average Loss  0.868207, Time  0.169854
2021-09-11 06:36:29.558842 : Epoch  4, Batch    631, Loss  0.852276, Average Loss  0.868271, Time  0.170253
2021-09-11 06:36:29.662472 : Epoch  2, Batch   1690, Loss  0.861574, Average Loss  0.871297, Time  0.242249
2021-09-11 06:36:31.199004 : Epoch  4, Batch    632, Loss  0.882033, Average Loss  0.868391, Time  0.171821
2021-09-11 06:36:32.295402 : Epoch  2, Batch   1691, Loss  0.857979, Average Loss  0.871216, Time  0.238132
2021-09-11 06:36:32.839002 : Epoch  4, Batch    633, Loss  0.874582, Average Loss  0.868350, Time  0.170133
2021-09-11 06:36:34.479013 : Epoch  4, Batch    634, Loss  0.855851, Average Loss  0.868230, Time  0.169693
2021-09-11 06:36:34.895403 : Epoch  2, Batch   1692, Loss  0.870056, Average Loss  0.871115, Time  0.237290
2021-09-11 06:36:36.116875 : Epoch  4, Batch    635, Loss  0.860432, Average Loss  0.868176, Time  0.169950
2021-09-11 06:36:37.509413 : Epoch  2, Batch   1693, Loss  0.898995, Average Loss  0.871183, Time  0.237585
2021-09-11 06:36:37.746771 : Epoch  4, Batch    636, Loss  0.894942, Average Loss  0.868281, Time  0.170000
2021-09-11 06:36:39.382917 : Epoch  4, Batch    637, Loss  0.892490, Average Loss  0.868277, Time  0.169942
2021-09-11 06:36:40.119088 : Epoch  2, Batch   1694, Loss  0.853856, Average Loss  0.871143, Time  0.237665
2021-09-11 06:36:41.008838 : Epoch  4, Batch    638, Loss  0.845158, Average Loss  0.868124, Time  0.169953
2021-09-11 06:36:42.653864 : Epoch  4, Batch    639, Loss  0.853008, Average Loss  0.868109, Time  0.170304
2021-09-11 06:36:42.741477 : Epoch  2, Batch   1695, Loss  0.863139, Average Loss  0.871068, Time  0.240642
2021-09-11 06:36:44.311019 : Epoch  4, Batch    640, Loss  0.872238, Average Loss  0.868069, Time  0.169930
2021-09-11 06:36:45.375743 : Epoch  2, Batch   1696, Loss  0.888063, Average Loss  0.871146, Time  0.243393
2021-09-11 06:36:45.984299 : Epoch  4, Batch    641, Loss  0.815471, Average Loss  0.867761, Time  0.170019
2021-09-11 06:36:47.595463 : Epoch  4, Batch    642, Loss  0.893894, Average Loss  0.867870, Time  0.172858
2021-09-11 06:36:47.975513 : Epoch  2, Batch   1697, Loss  0.855754, Average Loss  0.871016, Time  0.242866
2021-09-11 06:36:49.203222 : Epoch  4, Batch    643, Loss  0.868382, Average Loss  0.867862, Time  0.175121
2021-09-11 06:36:50.609312 : Epoch  2, Batch   1698, Loss  0.871809, Average Loss  0.871050, Time  0.259096
2021-09-11 06:36:50.837750 : Epoch  4, Batch    644, Loss  0.876061, Average Loss  0.867887, Time  0.172422
2021-09-11 06:36:52.483049 : Epoch  4, Batch    645, Loss  0.873327, Average Loss  0.867910, Time  0.170612
2021-09-11 06:36:53.238884 : Epoch  2, Batch   1699, Loss  0.861211, Average Loss  0.870952, Time  0.238578
2021-09-11 06:36:54.131943 : Epoch  4, Batch    646, Loss  0.852195, Average Loss  0.867764, Time  0.177792
2021-09-11 06:36:55.764042 : Epoch  4, Batch    647, Loss  0.854324, Average Loss  0.867715, Time  0.170702
2021-09-11 06:36:55.884416 : Epoch  2, Batch   1700, Loss  0.845389, Average Loss  0.870751, Time  0.239498
2021-09-11 06:36:57.410046 : Epoch  4, Batch    648, Loss  0.866739, Average Loss  0.867819, Time  0.172822
2021-09-11 06:36:58.505000 : Epoch  2, Batch   1701, Loss  0.888050, Average Loss  0.870834, Time  0.239081
2021-09-11 06:36:59.061752 : Epoch  4, Batch    649, Loss  0.880252, Average Loss  0.867975, Time  0.176699
2021-09-11 06:37:00.698041 : Epoch  4, Batch    650, Loss  0.892742, Average Loss  0.868014, Time  0.176662
2021-09-11 06:37:01.137844 : Epoch  2, Batch   1702, Loss  0.890497, Average Loss  0.870895, Time  0.238214
2021-09-11 06:37:02.325045 : Epoch  4, Batch    651, Loss  0.887342, Average Loss  0.868145, Time  0.172236
2021-09-11 06:37:03.741322 : Epoch  2, Batch   1703, Loss  0.875027, Average Loss  0.870869, Time  0.236673
2021-09-11 06:37:03.949056 : Epoch  4, Batch    652, Loss  0.884476, Average Loss  0.868250, Time  0.170190
2021-09-11 06:37:05.580933 : Epoch  4, Batch    653, Loss  0.883825, Average Loss  0.868439, Time  0.181270
2021-09-11 06:37:06.362790 : Epoch  2, Batch   1704, Loss  0.856453, Average Loss  0.870887, Time  0.242617
2021-09-11 06:37:07.184862 : Epoch  4, Batch    654, Loss  0.884535, Average Loss  0.868663, Time  0.173783
2021-09-11 06:37:08.834788 : Epoch  4, Batch    655, Loss  0.862200, Average Loss  0.868679, Time  0.171247
2021-09-11 06:37:09.047868 : Epoch  2, Batch   1705, Loss  0.862900, Average Loss  0.870844, Time  0.263167
2021-09-11 06:37:10.482052 : Epoch  4, Batch    656, Loss  0.880361, Average Loss  0.868743, Time  0.175345
2021-09-11 06:37:11.758244 : Epoch  2, Batch   1706, Loss  0.866466, Average Loss  0.870794, Time  0.265374
2021-09-11 06:37:12.090045 : Epoch  4, Batch    657, Loss  0.866507, Average Loss  0.868862, Time  0.170486
2021-09-11 06:37:13.724014 : Epoch  4, Batch    658, Loss  0.852044, Average Loss  0.868738, Time  0.174022
2021-09-11 06:37:14.422531 : Epoch  2, Batch   1707, Loss  0.849716, Average Loss  0.870732, Time  0.254917
2021-09-11 06:37:15.351053 : Epoch  4, Batch    659, Loss  0.844751, Average Loss  0.868654, Time  0.176027
2021-09-11 06:37:16.962030 : Epoch  4, Batch    660, Loss  0.877229, Average Loss  0.868664, Time  0.172835
2021-09-11 06:37:17.045874 : Epoch  2, Batch   1708, Loss  0.884877, Average Loss  0.870806, Time  0.240169
2021-09-11 06:37:18.606757 : Epoch  4, Batch    661, Loss  0.894748, Average Loss  0.868957, Time  0.176913
2021-09-11 06:37:19.696518 : Epoch  2, Batch   1709, Loss  0.860296, Average Loss  0.870862, Time  0.242683
2021-09-11 06:37:20.244024 : Epoch  4, Batch    662, Loss  0.868199, Average Loss  0.869049, Time  0.169873
2021-09-11 06:37:21.865831 : Epoch  4, Batch    663, Loss  0.826361, Average Loss  0.868770, Time  0.183724
2021-09-11 06:37:22.288898 : Epoch  2, Batch   1710, Loss  0.870469, Average Loss  0.870799, Time  0.242154
2021-09-11 06:37:23.495150 : Epoch  4, Batch    664, Loss  0.850455, Average Loss  0.868825, Time  0.172849
2021-09-11 06:37:24.898869 : Epoch  2, Batch   1711, Loss  0.866014, Average Loss  0.870656, Time  0.240351
2021-09-11 06:37:25.134771 : Epoch  4, Batch    665, Loss  0.913934, Average Loss  0.868937, Time  0.175532
2021-09-11 06:37:26.785863 : Epoch  4, Batch    666, Loss  0.863239, Average Loss  0.868886, Time  0.186339
2021-09-11 06:37:27.493841 : Epoch  2, Batch   1712, Loss  0.861237, Average Loss  0.870515, Time  0.239294
2021-09-11 06:37:28.425029 : Epoch  4, Batch    667, Loss  0.862652, Average Loss  0.868736, Time  0.178889
2021-09-11 06:37:30.113897 : Epoch  2, Batch   1713, Loss  0.856629, Average Loss  0.870419, Time  0.242932
2021-09-11 06:37:32.721765 : Epoch  2, Batch   1714, Loss  0.869640, Average Loss  0.870448, Time  0.244973
2021-09-11 06:37:35.315818 : Epoch  2, Batch   1715, Loss  0.857720, Average Loss  0.870341, Time  0.241967
2021-09-11 06:37:37.926068 : Epoch  2, Batch   1716, Loss  0.870656, Average Loss  0.870486, Time  0.258945
2021-09-11 06:37:40.611293 : Epoch  2, Batch   1717, Loss  0.888393, Average Loss  0.870482, Time  0.261601
2021-09-11 06:37:43.294831 : Epoch  2, Batch   1718, Loss  0.863366, Average Loss  0.870355, Time  0.259528
2021-09-11 06:37:46.018810 : Epoch  2, Batch   1719, Loss  0.853884, Average Loss  0.870336, Time  0.242254
2021-09-11 06:37:48.648432 : Epoch  2, Batch   1720, Loss  0.853223, Average Loss  0.870164, Time  0.240367
2021-09-11 06:37:51.342378 : Epoch  2, Batch   1721, Loss  0.859353, Average Loss  0.870303, Time  0.265166
2021-09-11 06:37:54.025206 : Epoch  2, Batch   1722, Loss  0.872099, Average Loss  0.870383, Time  0.257644
2021-09-11 06:37:56.662122 : Epoch  2, Batch   1723, Loss  0.854251, Average Loss  0.870324, Time  0.241613
2021-09-11 06:37:59.361878 : Epoch  2, Batch   1724, Loss  0.891409, Average Loss  0.870438, Time  0.260918
2021-09-11 06:38:01.990138 : Epoch  2, Batch   1725, Loss  0.853480, Average Loss  0.870399, Time  0.243987
2021-09-11 06:38:04.635166 : Epoch  2, Batch   1726, Loss  0.884652, Average Loss  0.870449, Time  0.241118
2021-09-11 06:38:07.256032 : Epoch  2, Batch   1727, Loss  0.880962, Average Loss  0.870454, Time  0.240548
2021-09-11 06:38:09.904061 : Epoch  2, Batch   1728, Loss  0.864377, Average Loss  0.870443, Time  0.242774
2021-09-11 06:38:12.527001 : Epoch  2, Batch   1729, Loss  0.850768, Average Loss  0.870265, Time  0.241156
2021-09-11 06:38:15.151386 : Epoch  2, Batch   1730, Loss  0.859016, Average Loss  0.870122, Time  0.242825
2021-09-11 06:38:17.789836 : Epoch  2, Batch   1731, Loss  0.847956, Average Loss  0.869936, Time  0.247494
2021-09-11 06:38:20.428005 : Epoch  2, Batch   1732, Loss  0.879969, Average Loss  0.869930, Time  0.258869
2021-09-11 06:38:23.135241 : Epoch  2, Batch   1733, Loss  0.883525, Average Loss  0.870087, Time  0.261699
2021-09-11 06:38:25.825963 : Epoch  2, Batch   1734, Loss  0.873652, Average Loss  0.869994, Time  0.264384
2021-09-11 06:38:28.543986 : Epoch  2, Batch   1735, Loss  0.891185, Average Loss  0.870125, Time  0.273492
2021-09-11 06:38:31.270786 : Epoch  2, Batch   1736, Loss  0.880803, Average Loss  0.870218, Time  0.261238
2021-09-11 06:38:33.970229 : Epoch  2, Batch   1737, Loss  0.885596, Average Loss  0.870260, Time  0.259122
2021-09-11 06:38:36.665365 : Epoch  2, Batch   1738, Loss  0.881876, Average Loss  0.870292, Time  0.260561
2021-09-11 06:38:39.358081 : Epoch  2, Batch   1739, Loss  0.860855, Average Loss  0.870204, Time  0.263607
2021-09-11 06:38:42.066322 : Epoch  2, Batch   1740, Loss  0.855061, Average Loss  0.870224, Time  0.264156
2021-09-11 06:38:44.769889 : Epoch  2, Batch   1741, Loss  0.860354, Average Loss  0.870142, Time  0.259028
2021-09-11 06:38:47.448925 : Epoch  2, Batch   1742, Loss  0.852450, Average Loss  0.870107, Time  0.241821
2021-09-11 06:38:50.077959 : Epoch  2, Batch   1743, Loss  0.886223, Average Loss  0.870162, Time  0.243741
2021-09-11 06:38:52.695870 : Epoch  2, Batch   1744, Loss  0.870896, Average Loss  0.870148, Time  0.243966
2021-09-11 06:42:08.596713 : CheckPoint: Validation Loss  0.00061036, Best Loss  0.00057296
2021-09-11 06:42:10.254951 : Epoch  4, Batch    668, Loss  0.882167, Average Loss  0.868879, Time  0.176269
2021-09-11 06:42:11.899743 : Epoch  4, Batch    669, Loss  0.876484, Average Loss  0.868817, Time  0.185220
2021-09-11 06:42:13.547190 : Epoch  4, Batch    670, Loss  0.845125, Average Loss  0.868620, Time  0.182691
2021-09-11 06:42:15.162812 : Epoch  4, Batch    671, Loss  0.879212, Average Loss  0.868608, Time  0.170294
2021-09-11 06:42:16.766019 : Epoch  4, Batch    672, Loss  0.848180, Average Loss  0.868494, Time  0.174348
2021-09-11 06:42:18.406036 : Epoch  4, Batch    673, Loss  0.918607, Average Loss  0.868667, Time  0.172490
2021-09-11 06:42:20.042017 : Epoch  4, Batch    674, Loss  0.864114, Average Loss  0.868521, Time  0.174142
2021-09-11 06:42:21.671032 : Epoch  4, Batch    675, Loss  0.875177, Average Loss  0.868487, Time  0.173362
2021-09-11 06:42:23.286015 : Epoch  4, Batch    676, Loss  0.851933, Average Loss  0.868377, Time  0.169927
2021-09-11 06:42:24.896035 : Epoch  4, Batch    677, Loss  0.871207, Average Loss  0.868434, Time  0.176469
2021-09-11 06:42:26.528027 : Epoch  4, Batch    678, Loss  0.866970, Average Loss  0.868568, Time  0.172591
2021-09-11 06:42:28.144031 : Epoch  4, Batch    679, Loss  0.836294, Average Loss  0.868494, Time  0.171824
2021-09-11 06:42:29.750031 : Epoch  4, Batch    680, Loss  0.827315, Average Loss  0.868335, Time  0.173105
2021-09-11 06:42:31.373037 : Epoch  4, Batch    681, Loss  0.845848, Average Loss  0.868416, Time  0.175267
2021-09-11 06:42:33.003025 : Epoch  4, Batch    682, Loss  0.873635, Average Loss  0.868287, Time  0.173715
2021-09-11 06:42:34.626874 : Epoch  4, Batch    683, Loss  0.860737, Average Loss  0.868398, Time  0.169894
2021-09-11 06:42:36.257035 : Epoch  4, Batch    684, Loss  0.857780, Average Loss  0.868091, Time  0.170241
2021-09-11 06:42:37.892033 : Epoch  4, Batch    685, Loss  0.855577, Average Loss  0.867977, Time  0.169755
2021-09-11 06:42:39.520620 : Epoch  4, Batch    686, Loss  0.869662, Average Loss  0.868010, Time  0.170454
2021-09-11 06:42:41.149811 : Epoch  4, Batch    687, Loss  0.909426, Average Loss  0.868264, Time  0.173031
2021-09-11 06:42:42.763018 : Epoch  4, Batch    688, Loss  0.870613, Average Loss  0.868226, Time  0.169939
2021-09-11 06:42:44.443752 : Epoch  4, Batch    689, Loss  0.860025, Average Loss  0.868216, Time  0.176888
2021-09-11 06:42:46.078747 : Epoch  4, Batch    690, Loss  0.859070, Average Loss  0.868282, Time  0.170188
2021-09-11 06:42:47.687028 : Epoch  4, Batch    691, Loss  0.848543, Average Loss  0.868244, Time  0.171273
2021-09-11 06:42:49.287792 : Epoch  4, Batch    692, Loss  0.870925, Average Loss  0.868289, Time  0.170062
2021-09-11 06:42:50.893030 : Epoch  4, Batch    693, Loss  0.874599, Average Loss  0.868335, Time  0.170077
2021-09-11 06:42:52.508740 : Epoch  4, Batch    694, Loss  0.861867, Average Loss  0.868365, Time  0.170043
2021-09-11 06:42:54.155040 : Epoch  4, Batch    695, Loss  0.884841, Average Loss  0.868331, Time  0.182195
2021-09-11 06:42:55.656810 : CheckPoint: Validation Loss  0.00030497, Best Loss  0.00029375
2021-09-11 06:42:55.769890 : Epoch  4, Batch    696, Loss  0.902474, Average Loss  0.868523, Time  0.177214
2021-09-11 06:42:57.386837 : Epoch  4, Batch    697, Loss  0.893342, Average Loss  0.868804, Time  0.169902
2021-09-11 06:42:58.290006 : Epoch  2, Batch   1745, Loss  0.886348, Average Loss  0.870170, Time  0.277418
2021-09-11 06:42:59.024031 : Epoch  4, Batch    698, Loss  0.829485, Average Loss  0.868467, Time  0.174405
2021-09-11 06:43:00.641034 : Epoch  4, Batch    699, Loss  0.912371, Average Loss  0.868818, Time  0.170628
2021-09-11 06:43:00.892750 : Epoch  2, Batch   1746, Loss  0.866876, Average Loss  0.870130, Time  0.251264
2021-09-11 06:43:02.241042 : Epoch  4, Batch    700, Loss  0.902830, Average Loss  0.869018, Time  0.169852
2021-09-11 06:43:03.480127 : Epoch  2, Batch   1747, Loss  0.884618, Average Loss  0.870106, Time  0.238278
2021-09-11 06:43:03.863031 : Epoch  4, Batch    701, Loss  0.866824, Average Loss  0.869222, Time  0.174556
2021-09-11 06:43:05.492359 : Epoch  4, Batch    702, Loss  0.877041, Average Loss  0.869074, Time  0.173991
2021-09-11 06:43:06.071447 : Epoch  2, Batch   1748, Loss  0.863689, Average Loss  0.869911, Time  0.237862
2021-09-11 06:43:07.126998 : Epoch  4, Batch    703, Loss  0.867251, Average Loss  0.868928, Time  0.169873
2021-09-11 06:43:08.673421 : Epoch  2, Batch   1749, Loss  0.854764, Average Loss  0.869720, Time  0.237597
2021-09-11 06:43:08.795770 : Epoch  4, Batch    704, Loss  0.896769, Average Loss  0.869015, Time  0.170113
2021-09-11 06:43:10.404845 : Epoch  4, Batch    705, Loss  0.895564, Average Loss  0.869098, Time  0.169999
2021-09-11 06:43:11.261446 : Epoch  2, Batch   1750, Loss  0.875362, Average Loss  0.869734, Time  0.241061
2021-09-11 06:43:12.048763 : Epoch  4, Batch    706, Loss  0.902112, Average Loss  0.869218, Time  0.169740
2021-09-11 06:43:13.689754 : Epoch  4, Batch    707, Loss  0.855162, Average Loss  0.869169, Time  0.169719
2021-09-11 06:43:13.897021 : Epoch  2, Batch   1751, Loss  0.871969, Average Loss  0.869820, Time  0.239159
2021-09-11 06:43:15.317983 : Epoch  4, Batch    708, Loss  0.859726, Average Loss  0.869158, Time  0.170028
2021-09-11 06:43:16.541875 : Epoch  2, Batch   1752, Loss  0.881111, Average Loss  0.869853, Time  0.244046
2021-09-11 06:43:16.941918 : Epoch  4, Batch    709, Loss  0.839502, Average Loss  0.869003, Time  0.169565
2021-09-11 06:43:18.577856 : Epoch  4, Batch    710, Loss  0.850958, Average Loss  0.868909, Time  0.169804
2021-09-11 06:43:19.166896 : Epoch  2, Batch   1753, Loss  0.876087, Average Loss  0.869973, Time  0.240886
2021-09-11 06:43:20.220722 : Epoch  4, Batch    711, Loss  0.866092, Average Loss  0.868878, Time  0.169889
2021-09-11 06:43:21.767391 : Epoch  2, Batch   1754, Loss  0.850073, Average Loss  0.869948, Time  0.241073
2021-09-11 06:43:21.863739 : Epoch  4, Batch    712, Loss  0.881560, Average Loss  0.868910, Time  0.169552
2021-09-11 06:43:23.516006 : Epoch  4, Batch    713, Loss  0.865695, Average Loss  0.868809, Time  0.169735
2021-09-11 06:43:24.400988 : Epoch  2, Batch   1755, Loss  0.872917, Average Loss  0.869984, Time  0.249995
2021-09-11 06:43:25.145992 : Epoch  4, Batch    714, Loss  0.855849, Average Loss  0.868781, Time  0.169547
2021-09-11 06:43:26.782847 : Epoch  4, Batch    715, Loss  0.834749, Average Loss  0.868665, Time  0.169937
2021-09-11 06:43:27.008369 : Epoch  2, Batch   1756, Loss  0.875656, Average Loss  0.870034, Time  0.244248
2021-09-11 06:43:28.400749 : Epoch  4, Batch    716, Loss  0.849305, Average Loss  0.868535, Time  0.172365
2021-09-11 06:43:29.612078 : Epoch  2, Batch   1757, Loss  0.877592, Average Loss  0.870058, Time  0.243170
2021-09-11 06:43:30.025998 : Epoch  4, Batch    717, Loss  0.883316, Average Loss  0.868506, Time  0.169702
2021-09-11 06:43:31.658804 : Epoch  4, Batch    718, Loss  0.891721, Average Loss  0.868639, Time  0.169388
2021-09-11 06:43:32.218862 : Epoch  2, Batch   1758, Loss  0.884238, Average Loss  0.870103, Time  0.243190
2021-09-11 06:43:33.276762 : Epoch  4, Batch    719, Loss  0.885470, Average Loss  0.868804, Time  0.169911
2021-09-11 06:43:34.811819 : Epoch  2, Batch   1759, Loss  0.877997, Average Loss  0.870133, Time  0.241074
2021-09-11 06:43:34.906848 : Epoch  4, Batch    720, Loss  0.870239, Average Loss  0.868608, Time  0.169863
2021-09-11 06:43:36.575769 : Epoch  4, Batch    721, Loss  0.872352, Average Loss  0.868724, Time  0.169991
2021-09-11 06:43:37.412027 : Epoch  2, Batch   1760, Loss  0.866230, Average Loss  0.870182, Time  0.240709
2021-09-11 06:43:38.199802 : Epoch  4, Batch    722, Loss  0.858628, Average Loss  0.868835, Time  0.169593
2021-09-11 06:43:39.844836 : Epoch  4, Batch    723, Loss  0.841512, Average Loss  0.868718, Time  0.169871
2021-09-11 06:43:40.018816 : Epoch  2, Batch   1761, Loss  0.849154, Average Loss  0.870042, Time  0.243742
2021-09-11 06:43:41.461997 : Epoch  4, Batch    724, Loss  0.866979, Average Loss  0.868591, Time  0.169556
2021-09-11 06:43:42.624874 : Epoch  2, Batch   1762, Loss  0.883508, Average Loss  0.870122, Time  0.242861
2021-09-11 06:43:43.075574 : Epoch  4, Batch    725, Loss  0.893609, Average Loss  0.868784, Time  0.171922
2021-09-11 06:43:44.693878 : Epoch  4, Batch    726, Loss  0.860864, Average Loss  0.868616, Time  0.177778
2021-09-11 06:43:45.229745 : Epoch  2, Batch   1763, Loss  0.884387, Average Loss  0.870067, Time  0.241475
2021-09-11 06:43:46.334818 : Epoch  4, Batch    727, Loss  0.890491, Average Loss  0.868710, Time  0.172083
2021-09-11 06:43:47.830728 : Epoch  2, Batch   1764, Loss  0.872342, Average Loss  0.870072, Time  0.238146
2021-09-11 06:43:47.967739 : Epoch  4, Batch    728, Loss  0.853057, Average Loss  0.868702, Time  0.174334
2021-09-11 06:43:49.627040 : Epoch  4, Batch    729, Loss  0.867612, Average Loss  0.868628, Time  0.176832
2021-09-11 06:43:50.481950 : Epoch  2, Batch   1765, Loss  0.867761, Average Loss  0.870044, Time  0.261172
2021-09-11 06:43:51.290797 : Epoch  4, Batch    730, Loss  0.888719, Average Loss  0.868700, Time  0.180497
2021-09-11 06:43:52.928919 : Epoch  4, Batch    731, Loss  0.849573, Average Loss  0.868611, Time  0.170125
2021-09-11 06:43:53.180360 : Epoch  2, Batch   1766, Loss  0.862866, Average Loss  0.869981, Time  0.262111
2021-09-11 06:43:54.567740 : Epoch  4, Batch    732, Loss  0.882847, Average Loss  0.868740, Time  0.169959
2021-09-11 06:43:55.883871 : Epoch  2, Batch   1767, Loss  0.854640, Average Loss  0.869898, Time  0.262583
2021-09-11 06:43:56.223755 : Epoch  4, Batch    733, Loss  0.880550, Average Loss  0.868943, Time  0.171622
2021-09-11 06:43:57.868792 : Epoch  4, Batch    734, Loss  0.866020, Average Loss  0.869048, Time  0.172953
2021-09-11 06:43:58.573852 : Epoch  2, Batch   1768, Loss  0.883323, Average Loss  0.870009, Time  0.262727
2021-09-11 06:43:59.517773 : Epoch  4, Batch    735, Loss  0.881949, Average Loss  0.869073, Time  0.178148
2021-09-11 06:44:01.129338 : Epoch  4, Batch    736, Loss  0.857430, Average Loss  0.869079, Time  0.171504
2021-09-11 06:44:01.259125 : Epoch  2, Batch   1769, Loss  0.854816, Average Loss  0.869922, Time  0.259871
2021-09-11 06:44:02.769782 : Epoch  4, Batch    737, Loss  0.886934, Average Loss  0.869103, Time  0.171243
2021-09-11 06:44:03.903851 : Epoch  2, Batch   1770, Loss  0.882558, Average Loss  0.869960, Time  0.243840
2021-09-11 06:44:04.396850 : Epoch  4, Batch    738, Loss  0.830893, Average Loss  0.869025, Time  0.173843
2021-09-11 06:44:06.030036 : Epoch  4, Batch    739, Loss  0.886862, Average Loss  0.868938, Time  0.172168
2021-09-11 06:44:06.488806 : Epoch  2, Batch   1771, Loss  0.874464, Average Loss  0.869859, Time  0.242098
2021-09-11 06:44:07.649032 : Epoch  4, Batch    740, Loss  0.848377, Average Loss  0.868785, Time  0.177240
2021-09-11 06:44:09.099765 : Epoch  2, Batch   1772, Loss  0.854868, Average Loss  0.869858, Time  0.238616
2021-09-11 06:44:09.306045 : Epoch  4, Batch    741, Loss  0.863529, Average Loss  0.868858, Time  0.180532
2021-09-11 06:44:10.929765 : Epoch  4, Batch    742, Loss  0.854008, Average Loss  0.868768, Time  0.175103
2021-09-11 06:44:11.736778 : Epoch  2, Batch   1773, Loss  0.885495, Average Loss  0.869973, Time  0.241491
2021-09-11 06:44:12.553873 : Epoch  4, Batch    743, Loss  0.873921, Average Loss  0.868770, Time  0.170127
2021-09-11 06:44:14.195025 : Epoch  4, Batch    744, Loss  0.871764, Average Loss  0.868786, Time  0.171952
2021-09-11 06:44:14.360012 : Epoch  2, Batch   1774, Loss  0.864376, Average Loss  0.869877, Time  0.240568
2021-09-11 06:44:15.819068 : Epoch  4, Batch    745, Loss  0.857249, Average Loss  0.868710, Time  0.178540
2021-09-11 06:44:16.966258 : Epoch  2, Batch   1775, Loss  0.869530, Average Loss  0.869844, Time  0.241862
2021-09-11 06:44:17.433033 : Epoch  4, Batch    746, Loss  0.858553, Average Loss  0.868876, Time  0.170886
2021-09-11 06:44:19.083780 : Epoch  4, Batch    747, Loss  0.842242, Average Loss  0.868658, Time  0.177484
2021-09-11 06:44:19.578930 : Epoch  2, Batch   1776, Loss  0.856145, Average Loss  0.869755, Time  0.243457
2021-09-11 06:44:20.695038 : Epoch  4, Batch    748, Loss  0.888129, Average Loss  0.868665, Time  0.173100
2021-09-11 06:44:22.178778 : Epoch  2, Batch   1777, Loss  0.877731, Average Loss  0.869758, Time  0.240946
2021-09-11 06:44:22.342033 : Epoch  4, Batch    749, Loss  0.883380, Average Loss  0.868601, Time  0.178196
2021-09-11 06:44:23.960810 : Epoch  4, Batch    750, Loss  0.872668, Average Loss  0.868630, Time  0.180098
2021-09-11 06:44:24.862444 : Epoch  2, Batch   1778, Loss  0.859786, Average Loss  0.869755, Time  0.259461
2021-09-11 06:44:25.577031 : Epoch  4, Batch    751, Loss  0.856810, Average Loss  0.868333, Time  0.173795
2021-09-11 06:44:27.196745 : Epoch  4, Batch    752, Loss  0.874619, Average Loss  0.868313, Time  0.173170
2021-09-11 06:44:27.587386 : Epoch  2, Batch   1779, Loss  0.889311, Average Loss  0.869868, Time  0.264488
2021-09-11 06:44:28.799032 : Epoch  4, Batch    753, Loss  0.879399, Average Loss  0.868240, Time  0.170897
2021-09-11 06:44:30.259729 : Epoch  2, Batch   1780, Loss  0.879452, Average Loss  0.869892, Time  0.260369
2021-09-11 06:44:30.427750 : Epoch  4, Batch    754, Loss  0.860613, Average Loss  0.868219, Time  0.172394
2021-09-11 06:44:32.068809 : Epoch  4, Batch    755, Loss  0.867261, Average Loss  0.868298, Time  0.172266
2021-09-11 06:44:32.941692 : Epoch  2, Batch   1781, Loss  0.862577, Average Loss  0.869877, Time  0.256617
2021-09-11 06:44:33.699032 : Epoch  4, Batch    756, Loss  0.894502, Average Loss  0.868392, Time  0.172667
2021-09-11 06:44:35.321031 : Epoch  4, Batch    757, Loss  0.867722, Average Loss  0.868431, Time  0.170525
2021-09-11 06:44:35.538379 : Epoch  2, Batch   1782, Loss  0.860140, Average Loss  0.869872, Time  0.240825
2021-09-11 06:44:36.942816 : Epoch  4, Batch    758, Loss  0.865290, Average Loss  0.868307, Time  0.170123
2021-09-11 06:44:38.137284 : Epoch  2, Batch   1783, Loss  0.867218, Average Loss  0.869836, Time  0.244854
2021-09-11 06:44:38.584849 : Epoch  4, Batch    759, Loss  0.856110, Average Loss  0.868283, Time  0.179937
2021-09-11 06:44:40.219026 : Epoch  4, Batch    760, Loss  0.871188, Average Loss  0.868449, Time  0.179331
2021-09-11 06:44:40.728380 : Epoch  2, Batch   1784, Loss  0.881104, Average Loss  0.869859, Time  0.239200
2021-09-11 06:44:41.893034 : Epoch  4, Batch    761, Loss  0.882490, Average Loss  0.868641, Time  0.174524
2021-09-11 06:44:43.339069 : Epoch  2, Batch   1785, Loss  0.884339, Average Loss  0.869905, Time  0.244106
2021-09-11 06:44:43.550037 : Epoch  4, Batch    762, Loss  0.864628, Average Loss  0.868645, Time  0.174800
2021-09-11 06:44:45.178851 : Epoch  4, Batch    763, Loss  0.905162, Average Loss  0.868910, Time  0.176571
2021-09-11 06:44:45.945331 : Epoch  2, Batch   1786, Loss  0.884175, Average Loss  0.869991, Time  0.243694
2021-09-11 06:44:46.808040 : Epoch  4, Batch    764, Loss  0.837439, Average Loss  0.868762, Time  0.176012
2021-09-11 06:44:48.443748 : Epoch  4, Batch    765, Loss  0.857008, Average Loss  0.868653, Time  0.174369
2021-09-11 06:44:48.554837 : Epoch  2, Batch   1787, Loss  0.879785, Average Loss  0.870040, Time  0.240126
2021-09-11 06:44:50.074806 : Epoch  4, Batch    766, Loss  0.876508, Average Loss  0.868576, Time  0.169884
2021-09-11 06:44:51.177862 : Epoch  2, Batch   1788, Loss  0.873489, Average Loss  0.870026, Time  0.241006
2021-09-11 06:44:51.686747 : Epoch  4, Batch    767, Loss  0.848025, Average Loss  0.868560, Time  0.170115
2021-09-11 06:44:53.799481 : Epoch  2, Batch   1789, Loss  0.869222, Average Loss  0.869964, Time  0.244097
2021-09-11 06:44:56.399145 : Epoch  2, Batch   1790, Loss  0.880742, Average Loss  0.870140, Time  0.241031
2021-09-11 06:44:58.997367 : Epoch  2, Batch   1791, Loss  0.887810, Average Loss  0.870160, Time  0.240080
2021-09-11 06:45:01.602826 : Epoch  2, Batch   1792, Loss  0.882536, Average Loss  0.870207, Time  0.241251
2021-09-11 06:45:04.205901 : Epoch  2, Batch   1793, Loss  0.891910, Average Loss  0.870330, Time  0.243363
2021-09-11 06:45:06.809300 : Epoch  2, Batch   1794, Loss  0.871856, Average Loss  0.870168, Time  0.242291
2021-09-11 06:45:09.404803 : Epoch  2, Batch   1795, Loss  0.873256, Average Loss  0.870275, Time  0.242381
2021-09-11 06:45:11.994809 : Epoch  2, Batch   1796, Loss  0.863906, Average Loss  0.870302, Time  0.242176
2021-09-11 06:45:14.610342 : Epoch  2, Batch   1797, Loss  0.868091, Average Loss  0.870139, Time  0.257742
2021-09-11 06:45:17.226871 : Epoch  2, Batch   1798, Loss  0.872245, Average Loss  0.870194, Time  0.240859
2021-09-11 06:45:19.833884 : Epoch  2, Batch   1799, Loss  0.887356, Average Loss  0.870333, Time  0.240827
2021-09-11 06:45:22.448283 : Epoch  2, Batch   1800, Loss  0.876079, Average Loss  0.870435, Time  0.241984
2021-09-11 06:45:25.052830 : Epoch  2, Batch   1801, Loss  0.877809, Average Loss  0.870426, Time  0.243436
2021-09-11 06:45:27.737057 : Epoch  2, Batch   1802, Loss  0.862286, Average Loss  0.870499, Time  0.253329
2021-09-11 06:45:30.384732 : Epoch  2, Batch   1803, Loss  0.876126, Average Loss  0.870491, Time  0.240581
2021-09-11 06:45:33.007481 : Epoch  2, Batch   1804, Loss  0.873702, Average Loss  0.870542, Time  0.242471
2021-09-11 06:45:35.610265 : Epoch  2, Batch   1805, Loss  0.852860, Average Loss  0.870431, Time  0.242251
2021-09-11 06:45:38.307852 : Epoch  2, Batch   1806, Loss  0.853561, Average Loss  0.870406, Time  0.260365
2021-09-11 06:45:40.994816 : Epoch  2, Batch   1807, Loss  0.870282, Average Loss  0.870376, Time  0.257289
2021-09-11 06:45:43.685789 : Epoch  2, Batch   1808, Loss  0.881748, Average Loss  0.870397, Time  0.258583
2021-09-11 06:45:46.386314 : Epoch  2, Batch   1809, Loss  0.861689, Average Loss  0.870448, Time  0.261134
2021-09-11 06:45:49.083892 : Epoch  2, Batch   1810, Loss  0.890971, Average Loss  0.870499, Time  0.260277
2021-09-11 06:45:51.785406 : Epoch  2, Batch   1811, Loss  0.865992, Average Loss  0.870445, Time  0.260014
2021-09-11 06:45:54.487246 : Epoch  2, Batch   1812, Loss  0.844238, Average Loss  0.870289, Time  0.264848
2021-09-11 06:45:57.191484 : Epoch  2, Batch   1813, Loss  0.864550, Average Loss  0.870349, Time  0.263412
2021-09-11 06:45:59.880179 : Epoch  2, Batch   1814, Loss  0.879882, Average Loss  0.870279, Time  0.260976
2021-09-11 06:46:02.482340 : Epoch  2, Batch   1815, Loss  0.862829, Average Loss  0.870151, Time  0.241652
2021-09-11 06:46:05.097798 : Epoch  2, Batch   1816, Loss  0.853535, Average Loss  0.870027, Time  0.242697
2021-09-11 06:46:07.704237 : Epoch  2, Batch   1817, Loss  0.865115, Average Loss  0.869881, Time  0.238959
2021-09-11 06:46:10.410846 : Epoch  2, Batch   1818, Loss  0.871753, Average Loss  0.869834, Time  0.259085
2021-09-11 06:46:13.026873 : Epoch  2, Batch   1819, Loss  0.884791, Average Loss  0.869840, Time  0.242292
2021-09-11 06:46:15.628907 : Epoch  2, Batch   1820, Loss  0.873711, Average Loss  0.869815, Time  0.239425
2021-09-11 06:46:18.234771 : Epoch  2, Batch   1821, Loss  0.894592, Average Loss  0.869913, Time  0.241811
2021-09-11 06:46:20.848113 : Epoch  2, Batch   1822, Loss  0.906188, Average Loss  0.870091, Time  0.243356
2021-09-11 06:46:23.441960 : Epoch  2, Batch   1823, Loss  0.876282, Average Loss  0.870246, Time  0.242286
2021-09-11 06:46:26.033339 : Epoch  2, Batch   1824, Loss  0.869500, Average Loss  0.870266, Time  0.238998
2021-09-11 06:46:28.632857 : Epoch  2, Batch   1825, Loss  0.874526, Average Loss  0.870288, Time  0.239470
2021-09-11 06:46:31.260899 : Epoch  2, Batch   1826, Loss  0.876417, Average Loss  0.870332, Time  0.242878
2021-09-11 06:46:33.868874 : Epoch  2, Batch   1827, Loss  0.879286, Average Loss  0.870392, Time  0.243945
2021-09-11 06:46:36.471343 : Epoch  2, Batch   1828, Loss  0.891967, Average Loss  0.870473, Time  0.244086
2021-09-11 06:46:39.064287 : Epoch  2, Batch   1829, Loss  0.857565, Average Loss  0.870330, Time  0.239035
2021-09-11 06:46:41.669794 : Epoch  2, Batch   1830, Loss  0.855627, Average Loss  0.870208, Time  0.240008
2021-09-11 06:46:44.360888 : Epoch  2, Batch   1831, Loss  0.873847, Average Loss  0.870228, Time  0.262481
2021-09-11 06:46:46.994031 : Epoch  2, Batch   1832, Loss  0.866650, Average Loss  0.870300, Time  0.239601
2021-09-11 06:46:49.619856 : Epoch  2, Batch   1833, Loss  0.866034, Average Loss  0.870274, Time  0.243803
2021-09-11 06:46:52.290829 : Epoch  2, Batch   1834, Loss  0.872775, Average Loss  0.870298, Time  0.241630
2021-09-11 06:46:54.902475 : Epoch  2, Batch   1835, Loss  0.867899, Average Loss  0.870206, Time  0.240522
2021-09-11 06:46:57.611027 : Epoch  2, Batch   1836, Loss  0.877244, Average Loss  0.870281, Time  0.263209
2021-09-11 06:47:00.287199 : Epoch  2, Batch   1837, Loss  0.864997, Average Loss  0.870209, Time  0.258295
2021-09-11 06:47:02.934847 : Epoch  2, Batch   1838, Loss  0.862006, Average Loss  0.870227, Time  0.240811
2021-09-11 06:47:05.561887 : Epoch  2, Batch   1839, Loss  0.835622, Average Loss  0.870083, Time  0.241274
2021-09-11 06:47:08.200757 : Epoch  2, Batch   1840, Loss  0.845607, Average Loss  0.869933, Time  0.239480
2021-09-11 06:47:10.835194 : Epoch  2, Batch   1841, Loss  0.881462, Average Loss  0.869967, Time  0.239241
2021-09-11 06:47:13.453429 : Epoch  2, Batch   1842, Loss  0.882677, Average Loss  0.869933, Time  0.243876
2021-09-11 06:47:16.068826 : Epoch  2, Batch   1843, Loss  0.855666, Average Loss  0.869869, Time  0.240102
2021-09-11 06:47:18.684789 : Epoch  2, Batch   1844, Loss  0.882213, Average Loss  0.869895, Time  0.242778
2021-09-11 06:49:32.273713 : CheckPoint: Validation Loss  0.00062505, Best Loss  0.00057296
2021-09-11 06:49:33.923956 : Epoch  4, Batch    768, Loss  0.865931, Average Loss  0.868592, Time  0.179480
2021-09-11 06:49:35.546737 : Epoch  4, Batch    769, Loss  0.838452, Average Loss  0.868536, Time  0.171006
2021-09-11 06:49:37.169010 : Epoch  4, Batch    770, Loss  0.849220, Average Loss  0.868463, Time  0.175878
2021-09-11 06:49:38.782948 : Epoch  4, Batch    771, Loss  0.881872, Average Loss  0.868687, Time  0.170509
2021-09-11 06:49:40.408740 : Epoch  4, Batch    772, Loss  0.849045, Average Loss  0.868709, Time  0.170721
2021-09-11 06:49:42.055859 : Epoch  4, Batch    773, Loss  0.862505, Average Loss  0.868636, Time  0.173111
2021-09-11 06:49:43.666788 : Epoch  4, Batch    774, Loss  0.890333, Average Loss  0.868928, Time  0.170295
2021-09-11 06:49:45.284838 : Epoch  4, Batch    775, Loss  0.868048, Average Loss  0.869113, Time  0.173887
2021-09-11 06:49:46.906861 : Epoch  4, Batch    776, Loss  0.900789, Average Loss  0.869199, Time  0.178052
2021-09-11 06:49:48.541865 : Epoch  4, Batch    777, Loss  0.857554, Average Loss  0.869175, Time  0.176981
2021-09-11 06:49:50.187800 : Epoch  4, Batch    778, Loss  0.897258, Average Loss  0.869316, Time  0.174728
2021-09-11 06:49:51.826038 : Epoch  4, Batch    779, Loss  0.870818, Average Loss  0.869096, Time  0.176856
2021-09-11 06:49:53.452037 : Epoch  4, Batch    780, Loss  0.861192, Average Loss  0.869029, Time  0.169930
2021-09-11 06:49:55.090764 : Epoch  4, Batch    781, Loss  0.865847, Average Loss  0.868900, Time  0.169736
2021-09-11 06:49:56.709027 : Epoch  4, Batch    782, Loss  0.873817, Average Loss  0.868970, Time  0.179953
2021-09-11 06:49:58.337031 : Epoch  4, Batch    783, Loss  0.867894, Average Loss  0.869044, Time  0.175708
2021-09-11 06:49:59.949901 : Epoch  4, Batch    784, Loss  0.857578, Average Loss  0.868945, Time  0.173415
2021-09-11 06:50:01.590061 : Epoch  4, Batch    785, Loss  0.868472, Average Loss  0.868994, Time  0.169830
2021-09-11 06:50:03.237030 : Epoch  4, Batch    786, Loss  0.886803, Average Loss  0.868986, Time  0.169939
2021-09-11 06:50:04.879040 : Epoch  4, Batch    787, Loss  0.874053, Average Loss  0.868793, Time  0.180963
2021-09-11 06:50:06.501959 : Epoch  4, Batch    788, Loss  0.861053, Average Loss  0.868845, Time  0.170705
2021-09-11 06:50:08.119786 : Epoch  4, Batch    789, Loss  0.882786, Average Loss  0.868951, Time  0.173884
2021-09-11 06:50:09.747775 : Epoch  4, Batch    790, Loss  0.879942, Average Loss  0.869080, Time  0.170041
2021-09-11 06:50:11.368651 : Epoch  4, Batch    791, Loss  0.901641, Average Loss  0.869301, Time  0.179183
2021-09-11 06:50:12.996037 : Epoch  4, Batch    792, Loss  0.892149, Average Loss  0.869389, Time  0.172235
2021-09-11 06:50:14.621034 : Epoch  4, Batch    793, Loss  0.863230, Average Loss  0.869431, Time  0.169807
2021-09-11 06:50:16.261818 : Epoch  4, Batch    794, Loss  0.871518, Average Loss  0.869304, Time  0.171464
2021-09-11 06:50:17.869030 : Epoch  4, Batch    795, Loss  0.905627, Average Loss  0.869497, Time  0.180579
2021-09-11 06:50:19.486041 : Epoch  4, Batch    796, Loss  0.854532, Average Loss  0.869561, Time  0.175762
2021-09-11 06:50:21.127747 : Epoch  4, Batch    797, Loss  0.891874, Average Loss  0.869734, Time  0.169574
2021-09-11 06:50:22.774032 : Epoch  4, Batch    798, Loss  0.858365, Average Loss  0.869753, Time  0.176538
2021-09-11 06:50:24.401026 : Epoch  4, Batch    799, Loss  0.861476, Average Loss  0.869795, Time  0.176586
2021-09-11 06:50:26.039820 : Epoch  4, Batch    800, Loss  0.873501, Average Loss  0.869791, Time  0.181366
2021-09-11 06:50:27.676022 : Epoch  4, Batch    801, Loss  0.868495, Average Loss  0.869678, Time  0.178052
2021-09-11 06:50:29.304788 : Epoch  4, Batch    802, Loss  0.847348, Average Loss  0.869564, Time  0.169893
2021-09-11 06:50:30.918809 : Epoch  4, Batch    803, Loss  0.877415, Average Loss  0.869723, Time  0.173182
2021-09-11 06:50:32.569836 : Epoch  4, Batch    804, Loss  0.870287, Average Loss  0.869684, Time  0.170585
2021-09-11 06:50:34.207827 : Epoch  4, Batch    805, Loss  0.888354, Average Loss  0.869650, Time  0.182016
2021-09-11 06:50:35.845831 : Epoch  4, Batch    806, Loss  0.896763, Average Loss  0.869830, Time  0.176646
2021-09-11 06:50:37.460731 : Epoch  4, Batch    807, Loss  0.845063, Average Loss  0.869724, Time  0.182496
2021-09-11 06:50:39.080862 : Epoch  4, Batch    808, Loss  0.861221, Average Loss  0.869582, Time  0.175578
2021-09-11 06:50:40.694783 : Epoch  4, Batch    809, Loss  0.870091, Average Loss  0.869533, Time  0.170078
2021-09-11 06:50:42.334037 : Epoch  4, Batch    810, Loss  0.868143, Average Loss  0.869405, Time  0.171240
2021-09-11 06:50:43.961757 : Epoch  4, Batch    811, Loss  0.862207, Average Loss  0.869402, Time  0.169982
2021-09-11 06:50:45.615065 : Epoch  4, Batch    812, Loss  0.903583, Average Loss  0.869553, Time  0.170541
2021-09-11 06:50:47.242772 : Epoch  4, Batch    813, Loss  0.849102, Average Loss  0.869620, Time  0.171203
2021-09-11 06:50:48.882912 : Epoch  4, Batch    814, Loss  0.900147, Average Loss  0.869704, Time  0.173191
2021-09-11 06:50:50.511831 : Epoch  4, Batch    815, Loss  0.849393, Average Loss  0.869685, Time  0.182100
2021-09-11 06:50:52.150034 : Epoch  4, Batch    816, Loss  0.887250, Average Loss  0.869752, Time  0.177630
2021-09-11 06:50:53.800032 : Epoch  4, Batch    817, Loss  0.840896, Average Loss  0.869556, Time  0.178407
2021-09-11 06:50:55.447022 : Epoch  4, Batch    818, Loss  0.864150, Average Loss  0.869606, Time  0.173244
2021-09-11 06:50:57.074029 : Epoch  4, Batch    819, Loss  0.862233, Average Loss  0.869485, Time  0.171495
2021-09-11 06:50:58.690908 : Epoch  4, Batch    820, Loss  0.858587, Average Loss  0.869461, Time  0.170254
2021-09-11 06:51:00.318038 : Epoch  4, Batch    821, Loss  0.891204, Average Loss  0.869494, Time  0.169686
2021-09-11 06:51:01.945864 : Epoch  4, Batch    822, Loss  0.887185, Average Loss  0.869703, Time  0.172239
2021-09-11 06:51:03.584039 : Epoch  4, Batch    823, Loss  0.885918, Average Loss  0.869655, Time  0.173246
2021-09-11 06:51:05.192807 : Epoch  4, Batch    824, Loss  0.835853, Average Loss  0.869441, Time  0.176338
2021-09-11 06:51:06.825748 : Epoch  4, Batch    825, Loss  0.888842, Average Loss  0.869628, Time  0.170198
2021-09-11 06:51:08.459860 : Epoch  4, Batch    826, Loss  0.856548, Average Loss  0.869492, Time  0.177487
2021-09-11 06:51:10.085014 : Epoch  4, Batch    827, Loss  0.869464, Average Loss  0.869486, Time  0.178596
2021-09-11 06:51:11.696807 : Epoch  4, Batch    828, Loss  0.870378, Average Loss  0.869350, Time  0.170224
2021-09-11 06:51:13.327019 : Epoch  4, Batch    829, Loss  0.880696, Average Loss  0.869443, Time  0.172892
2021-09-11 06:51:14.961752 : Epoch  4, Batch    830, Loss  0.873540, Average Loss  0.869658, Time  0.174825
2021-09-11 06:51:16.586756 : Epoch  4, Batch    831, Loss  0.848935, Average Loss  0.869641, Time  0.177089
2021-09-11 06:51:18.216735 : Epoch  4, Batch    832, Loss  0.853654, Average Loss  0.869499, Time  0.171079
2021-09-11 06:51:19.817089 : Epoch  4, Batch    833, Loss  0.867333, Average Loss  0.869463, Time  0.171696
2021-09-11 06:51:21.462746 : Epoch  4, Batch    834, Loss  0.906989, Average Loss  0.869719, Time  0.172150
2021-09-11 06:51:22.050695 : CheckPoint: Validation Loss  0.00030669, Best Loss  0.00029375
2021-09-11 06:51:23.120959 : Epoch  4, Batch    835, Loss  0.893248, Average Loss  0.869883, Time  0.175707
2021-09-11 06:51:24.667736 : Epoch  2, Batch   1845, Loss  0.853993, Average Loss  0.869753, Time  0.242700
2021-09-11 06:51:24.765756 : Epoch  4, Batch    836, Loss  0.887671, Average Loss  0.869847, Time  0.172012
2021-09-11 06:51:26.397836 : Epoch  4, Batch    837, Loss  0.853124, Average Loss  0.869650, Time  0.170276
2021-09-11 06:51:27.286319 : Epoch  2, Batch   1846, Loss  0.877069, Average Loss  0.869796, Time  0.241764
2021-09-11 06:51:28.016936 : Epoch  4, Batch    838, Loss  0.878525, Average Loss  0.869817, Time  0.171803
2021-09-11 06:51:29.643754 : Epoch  4, Batch    839, Loss  0.863429, Average Loss  0.869869, Time  0.169643
2021-09-11 06:51:29.913495 : Epoch  2, Batch   1847, Loss  0.877243, Average Loss  0.869801, Time  0.240842
2021-09-11 06:51:31.280075 : Epoch  4, Batch    840, Loss  0.884732, Average Loss  0.869931, Time  0.170304
2021-09-11 06:51:32.513386 : Epoch  2, Batch   1848, Loss  0.853451, Average Loss  0.869776, Time  0.241203
2021-09-11 06:51:32.932902 : Epoch  4, Batch    841, Loss  0.856000, Average Loss  0.870134, Time  0.169822
2021-09-11 06:51:34.566031 : Epoch  4, Batch    842, Loss  0.862787, Average Loss  0.869978, Time  0.177988
2021-09-11 06:51:35.212879 : Epoch  2, Batch   1849, Loss  0.888242, Average Loss  0.869863, Time  0.248136
2021-09-11 06:51:36.224037 : Epoch  4, Batch    843, Loss  0.847363, Average Loss  0.869873, Time  0.182964
2021-09-11 06:51:37.828876 : Epoch  2, Batch   1850, Loss  0.890728, Average Loss  0.870055, Time  0.241092
2021-09-11 06:51:37.892030 : Epoch  4, Batch    844, Loss  0.842241, Average Loss  0.869704, Time  0.179695
2021-09-11 06:51:39.498841 : Epoch  4, Batch    845, Loss  0.871162, Average Loss  0.869693, Time  0.174621
2021-09-11 06:51:40.436909 : Epoch  2, Batch   1851, Loss  0.873509, Average Loss  0.870058, Time  0.239628
2021-09-11 06:51:41.114049 : Epoch  4, Batch    846, Loss  0.892373, Average Loss  0.869894, Time  0.170754
2021-09-11 06:51:42.701656 : Epoch  4, Batch    847, Loss  0.856841, Average Loss  0.869907, Time  0.177053
2021-09-11 06:51:43.035283 : Epoch  2, Batch   1852, Loss  0.861357, Average Loss  0.869971, Time  0.239313
2021-09-11 06:51:44.308018 : Epoch  4, Batch    848, Loss  0.853409, Average Loss  0.869840, Time  0.172987
2021-09-11 06:51:45.739813 : Epoch  2, Batch   1853, Loss  0.856453, Average Loss  0.869893, Time  0.265015
2021-09-11 06:51:45.927866 : Epoch  4, Batch    849, Loss  0.828443, Average Loss  0.869581, Time  0.173721
2021-09-11 06:51:47.577839 : Epoch  4, Batch    850, Loss  0.868330, Average Loss  0.869459, Time  0.176109
2021-09-11 06:51:48.353241 : Epoch  2, Batch   1854, Loss  0.889495, Average Loss  0.870097, Time  0.240352
2021-09-11 06:51:49.201003 : Epoch  4, Batch    851, Loss  0.873330, Average Loss  0.869389, Time  0.179873
2021-09-11 06:51:50.826767 : Epoch  4, Batch    852, Loss  0.882225, Average Loss  0.869378, Time  0.174010
2021-09-11 06:51:50.988880 : Epoch  2, Batch   1855, Loss  0.858740, Average Loss  0.870062, Time  0.242763
2021-09-11 06:51:52.468032 : Epoch  4, Batch    853, Loss  0.871057, Average Loss  0.869314, Time  0.170573
2021-09-11 06:51:53.648039 : Epoch  2, Batch   1856, Loss  0.877518, Average Loss  0.870069, Time  0.245690
2021-09-11 06:51:53.706578 : Saving Model after 2-th Epoch.
2021-09-11 06:51:54.127911 : Epoch  4, Batch    854, Loss  0.863126, Average Loss  0.869207, Time  0.175843
2021-09-11 06:51:54.767619 : Epoch Finished.
2021-09-11 06:51:55.817043 : Epoch  4, Batch    855, Loss  0.856286, Average Loss  0.869177, Time  0.171948
2021-09-11 06:51:57.414802 : Epoch  4, Batch    856, Loss  0.863989, Average Loss  0.869095, Time  0.169778
2021-09-11 06:51:59.038059 : Epoch  4, Batch    857, Loss  0.883101, Average Loss  0.869178, Time  0.169683
2021-09-11 06:52:00.644763 : Epoch  4, Batch    858, Loss  0.858566, Average Loss  0.869211, Time  0.170006
2021-09-11 06:52:02.244735 : Epoch  4, Batch    859, Loss  0.855803, Average Loss  0.869266, Time  0.169865
2021-09-11 06:52:03.849803 : Epoch  4, Batch    860, Loss  0.873438, Average Loss  0.869247, Time  0.169982
2021-09-11 06:52:05.454771 : Epoch  4, Batch    861, Loss  0.862642, Average Loss  0.869087, Time  0.170014
2021-09-11 06:52:07.065034 : Epoch  4, Batch    862, Loss  0.859606, Average Loss  0.869044, Time  0.171172
2021-09-11 06:52:08.694028 : Epoch  4, Batch    863, Loss  0.866466, Average Loss  0.869244, Time  0.170129
2021-09-11 06:52:10.357034 : Epoch  4, Batch    864, Loss  0.868221, Average Loss  0.869333, Time  0.170836
2021-09-11 06:52:10.597427 : Batch Shuffled
2021-09-11 06:52:11.973038 : Epoch  4, Batch    865, Loss  0.854422, Average Loss  0.869035, Time  0.175006
2021-09-11 06:52:13.332985 : Epoch  3, Batch      1, Loss  0.890595, Average Loss  0.870224, Time  0.287423
2021-09-11 06:52:13.643020 : Epoch  4, Batch    866, Loss  0.889549, Average Loss  0.869167, Time  0.205143
2021-09-11 06:52:15.974906 : Epoch  3, Batch      2, Loss  0.896263, Average Loss  0.870331, Time  0.244026
2021-09-11 06:52:18.625892 : Epoch  3, Batch      3, Loss  0.868520, Average Loss  0.870238, Time  0.240025
2021-09-11 06:52:20.747042 : Epoch  4, Batch    867, Loss  0.835013, Average Loss  0.869029, Time  0.182794
2021-09-11 06:52:21.258352 : Epoch  3, Batch      4, Loss  0.876230, Average Loss  0.870201, Time  0.262168
2021-09-11 06:52:23.936708 : Epoch  3, Batch      5, Loss  0.880606, Average Loss  0.870233, Time  0.237437
2021-09-11 06:52:26.632159 : Epoch  3, Batch      6, Loss  0.857571, Average Loss  0.870188, Time  0.267823
2021-09-11 06:52:29.352060 : Epoch  3, Batch      7, Loss  0.885677, Average Loss  0.870372, Time  0.265314
2021-09-11 06:52:32.076806 : Epoch  3, Batch      8, Loss  0.899595, Average Loss  0.870493, Time  0.261399
2021-09-11 06:52:34.789803 : Epoch  3, Batch      9, Loss  0.867158, Average Loss  0.870559, Time  0.259206
2021-09-11 06:52:37.507959 : Epoch  3, Batch     10, Loss  0.865437, Average Loss  0.870557, Time  0.263621
2021-09-11 06:52:40.206850 : Epoch  3, Batch     11, Loss  0.869684, Average Loss  0.870487, Time  0.260182
2021-09-11 06:52:42.840217 : Epoch  3, Batch     12, Loss  0.856079, Average Loss  0.870367, Time  0.242189
2021-09-11 06:52:45.490810 : Epoch  3, Batch     13, Loss  0.848947, Average Loss  0.870320, Time  0.245162
2021-09-11 06:52:48.108795 : Epoch  3, Batch     14, Loss  0.880963, Average Loss  0.870378, Time  0.244426
2021-09-11 06:52:50.739865 : Epoch  3, Batch     15, Loss  0.863254, Average Loss  0.870378, Time  0.243470
2021-09-11 06:52:53.350308 : Epoch  3, Batch     16, Loss  0.872110, Average Loss  0.870410, Time  0.242714
2021-09-11 06:52:55.957301 : Epoch  3, Batch     17, Loss  0.878539, Average Loss  0.870383, Time  0.240784
2021-09-11 06:52:58.589062 : Epoch  3, Batch     18, Loss  0.869587, Average Loss  0.870413, Time  0.240415
2021-09-11 06:53:01.226019 : Epoch  3, Batch     19, Loss  0.877218, Average Loss  0.870454, Time  0.240033
2021-09-11 06:53:03.927259 : Epoch  3, Batch     20, Loss  0.867649, Average Loss  0.870484, Time  0.244905
2021-09-11 06:53:06.644870 : Epoch  3, Batch     21, Loss  0.881172, Average Loss  0.870478, Time  0.258956
2021-09-11 06:53:09.356185 : Epoch  3, Batch     22, Loss  0.876024, Average Loss  0.870462, Time  0.261296
2021-09-11 06:53:11.995878 : Epoch  3, Batch     23, Loss  0.864175, Average Loss  0.870598, Time  0.242344
2021-09-11 06:53:14.625066 : Epoch  3, Batch     24, Loss  0.869392, Average Loss  0.870588, Time  0.244871
2021-09-11 06:53:17.234935 : Epoch  3, Batch     25, Loss  0.850998, Average Loss  0.870565, Time  0.242582
2021-09-11 06:53:19.846386 : Epoch  3, Batch     26, Loss  0.859827, Average Loss  0.870603, Time  0.238785
2021-09-11 06:53:22.447791 : Epoch  3, Batch     27, Loss  0.877817, Average Loss  0.870618, Time  0.242646
2021-09-11 06:53:25.069968 : Epoch  3, Batch     28, Loss  0.877506, Average Loss  0.870655, Time  0.243775
2021-09-11 06:53:27.675352 : Epoch  3, Batch     29, Loss  0.860000, Average Loss  0.870694, Time  0.241605
2021-09-11 06:53:30.287050 : Epoch  3, Batch     30, Loss  0.891916, Average Loss  0.870798, Time  0.240957
2021-09-11 06:53:32.911339 : Epoch  3, Batch     31, Loss  0.889860, Average Loss  0.870951, Time  0.240295
2021-09-11 06:53:35.515295 : Epoch  3, Batch     32, Loss  0.862089, Average Loss  0.870949, Time  0.239113
2021-09-11 06:53:38.232623 : Epoch  3, Batch     33, Loss  0.879345, Average Loss  0.870988, Time  0.257669
2021-09-11 06:53:40.875073 : Epoch  3, Batch     34, Loss  0.852612, Average Loss  0.870944, Time  0.241888
2021-09-11 06:53:43.581908 : Epoch  3, Batch     35, Loss  0.858773, Average Loss  0.870948, Time  0.261083
2021-09-11 06:53:46.267125 : Epoch  3, Batch     36, Loss  0.862879, Average Loss  0.870912, Time  0.240700
2021-09-11 06:53:48.911024 : Epoch  3, Batch     37, Loss  0.882855, Average Loss  0.870831, Time  0.239251
2021-09-11 06:53:51.545124 : Epoch  3, Batch     38, Loss  0.854265, Average Loss  0.870833, Time  0.244515
2021-09-11 06:53:54.163797 : Epoch  3, Batch     39, Loss  0.871017, Average Loss  0.870872, Time  0.242543
2021-09-11 06:53:56.781835 : Epoch  3, Batch     40, Loss  0.871227, Average Loss  0.870788, Time  0.240335
2021-09-11 06:53:59.400183 : Epoch  3, Batch     41, Loss  0.860748, Average Loss  0.870813, Time  0.244294
2021-09-11 06:54:02.019761 : Epoch  3, Batch     42, Loss  0.860012, Average Loss  0.870754, Time  0.242233
2021-09-11 06:54:04.628381 : Epoch  3, Batch     43, Loss  0.882699, Average Loss  0.870862, Time  0.242219
2021-09-11 06:54:07.236907 : Epoch  3, Batch     44, Loss  0.870594, Average Loss  0.870988, Time  0.240415
2021-09-11 06:54:09.858711 : Epoch  3, Batch     45, Loss  0.881119, Average Loss  0.870953, Time  0.241979
2021-09-11 06:54:12.478904 : Epoch  3, Batch     46, Loss  0.874662, Average Loss  0.870874, Time  0.240337
2021-09-11 06:54:15.089860 : Epoch  3, Batch     47, Loss  0.861587, Average Loss  0.870807, Time  0.241234
2021-09-11 06:54:17.714864 : Epoch  3, Batch     48, Loss  0.871387, Average Loss  0.870881, Time  0.242466
2021-09-11 06:54:20.439038 : Epoch  3, Batch     49, Loss  0.851251, Average Loss  0.870823, Time  0.261801
2021-09-11 06:54:23.163011 : Epoch  3, Batch     50, Loss  0.881712, Average Loss  0.870899, Time  0.262496
2021-09-11 06:54:25.871780 : Epoch  3, Batch     51, Loss  0.867988, Average Loss  0.870991, Time  0.259076
2021-09-11 06:54:28.565894 : Epoch  3, Batch     52, Loss  0.882526, Average Loss  0.870979, Time  0.262204
2021-09-11 06:54:31.244789 : Epoch  3, Batch     53, Loss  0.872024, Average Loss  0.871037, Time  0.258565
2021-09-11 06:54:33.943477 : Epoch  3, Batch     54, Loss  0.865591, Average Loss  0.871013, Time  0.264447
2021-09-11 06:54:36.631989 : Epoch  3, Batch     55, Loss  0.861891, Average Loss  0.870992, Time  0.260799
2021-09-11 06:54:39.336394 : Epoch  3, Batch     56, Loss  0.853365, Average Loss  0.870953, Time  0.261254
2021-09-11 06:54:41.957031 : Epoch  3, Batch     57, Loss  0.859958, Average Loss  0.870970, Time  0.238080
2021-09-11 06:54:44.565953 : Epoch  3, Batch     58, Loss  0.858730, Average Loss  0.870915, Time  0.242897
2021-09-11 06:54:47.178316 : Epoch  3, Batch     59, Loss  0.869689, Average Loss  0.870975, Time  0.240897
2021-09-11 06:54:49.788334 : Epoch  3, Batch     60, Loss  0.851867, Average Loss  0.870881, Time  0.241654
2021-09-11 06:54:52.398743 : Epoch  3, Batch     61, Loss  0.848666, Average Loss  0.870682, Time  0.242881
2021-09-11 06:54:54.998335 : Epoch  3, Batch     62, Loss  0.851230, Average Loss  0.870622, Time  0.239238
2021-09-11 06:54:57.593299 : Epoch  3, Batch     63, Loss  0.872770, Average Loss  0.870716, Time  0.241881
2021-09-11 06:55:00.191774 : Epoch  3, Batch     64, Loss  0.873434, Average Loss  0.870817, Time  0.241961
2021-09-11 06:55:02.787774 : Epoch  3, Batch     65, Loss  0.858878, Average Loss  0.870815, Time  0.237642
2021-09-11 06:55:05.438930 : Epoch  3, Batch     66, Loss  0.882409, Average Loss  0.870866, Time  0.240748
2021-09-11 06:55:08.084394 : Epoch  3, Batch     67, Loss  0.877120, Average Loss  0.870981, Time  0.241320
2021-09-11 06:55:10.705017 : Epoch  3, Batch     68, Loss  0.895289, Average Loss  0.871000, Time  0.239142
2021-09-11 06:55:13.331793 : Epoch  3, Batch     69, Loss  0.879955, Average Loss  0.871133, Time  0.239218
2021-09-11 06:55:15.971990 : Epoch  3, Batch     70, Loss  0.873832, Average Loss  0.871078, Time  0.241640
2021-09-11 06:55:18.670842 : Epoch  3, Batch     71, Loss  0.864906, Average Loss  0.870998, Time  0.259335
2021-09-11 06:55:21.375756 : Epoch  3, Batch     72, Loss  0.853583, Average Loss  0.870944, Time  0.262793
2021-09-11 06:55:24.084372 : Epoch  3, Batch     73, Loss  0.879246, Average Loss  0.871087, Time  0.263258
2021-09-11 06:55:26.793316 : Epoch  3, Batch     74, Loss  0.870471, Average Loss  0.871144, Time  0.262930
2021-09-11 06:55:29.449963 : Epoch  3, Batch     75, Loss  0.862965, Average Loss  0.871219, Time  0.237963
2021-09-11 06:55:32.085139 : Epoch  3, Batch     76, Loss  0.866682, Average Loss  0.871153, Time  0.240891
2021-09-11 06:55:34.785771 : Epoch  3, Batch     77, Loss  0.870870, Average Loss  0.871089, Time  0.262159
2021-09-11 06:55:37.425452 : Epoch  3, Batch     78, Loss  0.859709, Average Loss  0.871020, Time  0.242781
2021-09-11 06:55:40.076097 : Epoch  3, Batch     79, Loss  0.854018, Average Loss  0.870834, Time  0.248414
2021-09-11 06:55:42.704970 : Epoch  3, Batch     80, Loss  0.870983, Average Loss  0.870785, Time  0.242357
2021-09-11 06:55:45.343949 : Epoch  3, Batch     81, Loss  0.873842, Average Loss  0.870726, Time  0.239619
2021-09-11 06:55:47.975920 : Epoch  3, Batch     82, Loss  0.861892, Average Loss  0.870626, Time  0.239443
2021-09-11 06:55:50.619007 : Epoch  3, Batch     83, Loss  0.867483, Average Loss  0.870659, Time  0.242245
2021-09-11 06:55:53.244765 : Epoch  3, Batch     84, Loss  0.871547, Average Loss  0.870741, Time  0.240457
2021-09-11 06:55:55.923800 : Epoch  3, Batch     85, Loss  0.870301, Average Loss  0.870791, Time  0.237471
2021-09-11 06:55:58.572994 : Epoch  3, Batch     86, Loss  0.871835, Average Loss  0.870888, Time  0.242075
2021-09-11 06:56:01.212205 : Epoch  3, Batch     87, Loss  0.895059, Average Loss  0.870932, Time  0.242146
2021-09-11 06:56:03.844981 : Epoch  3, Batch     88, Loss  0.867581, Average Loss  0.870916, Time  0.239253
2021-09-11 06:57:00.348709 : CheckPoint: Validation Loss  0.00060411, Best Loss  0.00057296
2021-09-11 06:57:01.950320 : Epoch  4, Batch    868, Loss  0.858141, Average Loss  0.868909, Time  0.180450
2021-09-11 06:57:03.554767 : Epoch  4, Batch    869, Loss  0.876414, Average Loss  0.868908, Time  0.170354
2021-09-11 06:57:05.158843 : Epoch  4, Batch    870, Loss  0.862065, Average Loss  0.868993, Time  0.169997
2021-09-11 06:57:06.781025 : Epoch  4, Batch    871, Loss  0.879408, Average Loss  0.868994, Time  0.174494
2021-09-11 06:57:08.459018 : Epoch  4, Batch    872, Loss  0.862767, Average Loss  0.869067, Time  0.176560
2021-09-11 06:57:10.110795 : Epoch  4, Batch    873, Loss  0.882407, Average Loss  0.868886, Time  0.178262
2021-09-11 06:57:11.772765 : Epoch  4, Batch    874, Loss  0.865332, Average Loss  0.868892, Time  0.183170
2021-09-11 06:57:13.434811 : Epoch  4, Batch    875, Loss  0.836458, Average Loss  0.868698, Time  0.196348
2021-09-11 06:57:15.077770 : Epoch  4, Batch    876, Loss  0.854954, Average Loss  0.868714, Time  0.171897
2021-09-11 06:57:16.702800 : Epoch  4, Batch    877, Loss  0.875316, Average Loss  0.868734, Time  0.173236
2021-09-11 06:57:18.330015 : Epoch  4, Batch    878, Loss  0.869210, Average Loss  0.868745, Time  0.170137
2021-09-11 06:57:19.955035 : Epoch  4, Batch    879, Loss  0.859198, Average Loss  0.868860, Time  0.170087
2021-09-11 06:57:21.578889 : Epoch  4, Batch    880, Loss  0.856123, Average Loss  0.869004, Time  0.169741
2021-09-11 06:57:23.202843 : Epoch  4, Batch    881, Loss  0.871940, Average Loss  0.869134, Time  0.178754
2021-09-11 06:57:24.797923 : Epoch  4, Batch    882, Loss  0.854435, Average Loss  0.869038, Time  0.169769
2021-09-11 06:57:26.402934 : Epoch  4, Batch    883, Loss  0.884419, Average Loss  0.869157, Time  0.170556
2021-09-11 06:57:28.025835 : Epoch  4, Batch    884, Loss  0.909698, Average Loss  0.869416, Time  0.170587
2021-09-11 06:57:29.656027 : Epoch  4, Batch    885, Loss  0.869365, Average Loss  0.869485, Time  0.170001
2021-09-11 06:57:31.276771 : Epoch  4, Batch    886, Loss  0.875010, Average Loss  0.869512, Time  0.172080
2021-09-11 06:57:32.882033 : Epoch  4, Batch    887, Loss  0.901989, Average Loss  0.869475, Time  0.170118
2021-09-11 06:57:34.495795 : Epoch  4, Batch    888, Loss  0.843327, Average Loss  0.869338, Time  0.180100
2021-09-11 06:57:36.140805 : Epoch  4, Batch    889, Loss  0.848758, Average Loss  0.869282, Time  0.180541
2021-09-11 06:57:37.771771 : Epoch  4, Batch    890, Loss  0.886633, Average Loss  0.869420, Time  0.172287
2021-09-11 06:57:39.384856 : Epoch  4, Batch    891, Loss  0.832705, Average Loss  0.869341, Time  0.175678
2021-09-11 06:57:41.040750 : Epoch  4, Batch    892, Loss  0.884349, Average Loss  0.869408, Time  0.170148
2021-09-11 06:57:42.677919 : Epoch  4, Batch    893, Loss  0.849396, Average Loss  0.869282, Time  0.170013
2021-09-11 06:57:44.300026 : Epoch  4, Batch    894, Loss  0.873207, Average Loss  0.869339, Time  0.178012
2021-09-11 06:57:45.946036 : Epoch  4, Batch    895, Loss  0.867202, Average Loss  0.869250, Time  0.182836
2021-09-11 06:57:47.564802 : Epoch  4, Batch    896, Loss  0.837019, Average Loss  0.868923, Time  0.175911
2021-09-11 06:57:49.178762 : Epoch  4, Batch    897, Loss  0.855432, Average Loss  0.868734, Time  0.172950
2021-09-11 06:57:50.807867 : Epoch  4, Batch    898, Loss  0.887274, Average Loss  0.869022, Time  0.172548
2021-09-11 06:57:52.438800 : Epoch  4, Batch    899, Loss  0.860008, Average Loss  0.868761, Time  0.175952
2021-09-11 06:57:54.059031 : Epoch  4, Batch    900, Loss  0.886614, Average Loss  0.868680, Time  0.170517
2021-09-11 06:57:55.670038 : Epoch  4, Batch    901, Loss  0.856315, Average Loss  0.868627, Time  0.170403
2021-09-11 06:57:57.316799 : Epoch  4, Batch    902, Loss  0.827288, Average Loss  0.868378, Time  0.187842
2021-09-11 06:57:58.954874 : Epoch  4, Batch    903, Loss  0.838685, Average Loss  0.868235, Time  0.171579
2021-09-11 06:58:00.591839 : Epoch  4, Batch    904, Loss  0.860963, Average Loss  0.868056, Time  0.173518
2021-09-11 06:58:02.207792 : Epoch  4, Batch    905, Loss  0.885811, Average Loss  0.868008, Time  0.169589
2021-09-11 06:58:03.841781 : Epoch  4, Batch    906, Loss  0.856227, Average Loss  0.867778, Time  0.169706
2021-09-11 06:58:05.454985 : Epoch  4, Batch    907, Loss  0.864658, Average Loss  0.867826, Time  0.169490
2021-09-11 06:58:07.078909 : Epoch  4, Batch    908, Loss  0.867853, Average Loss  0.867866, Time  0.171032
2021-09-11 06:58:08.711769 : Epoch  4, Batch    909, Loss  0.842676, Average Loss  0.867882, Time  0.169794
2021-09-11 06:58:10.334830 : Epoch  4, Batch    910, Loss  0.859812, Average Loss  0.867926, Time  0.169683
2021-09-11 06:58:11.963754 : Epoch  4, Batch    911, Loss  0.852641, Average Loss  0.867859, Time  0.169790
2021-09-11 06:58:13.577778 : Epoch  4, Batch    912, Loss  0.888910, Average Loss  0.867896, Time  0.169678
2021-09-11 06:58:15.207765 : Epoch  4, Batch    913, Loss  0.848793, Average Loss  0.867811, Time  0.169809
2021-09-11 06:58:16.832796 : Epoch  4, Batch    914, Loss  0.901768, Average Loss  0.868041, Time  0.169641
2021-09-11 06:58:18.474773 : Epoch  4, Batch    915, Loss  0.873036, Average Loss  0.868232, Time  0.169970
2021-09-11 06:58:20.093757 : Epoch  4, Batch    916, Loss  0.901069, Average Loss  0.868491, Time  0.169874
2021-09-11 06:58:21.717784 : Epoch  4, Batch    917, Loss  0.863805, Average Loss  0.868394, Time  0.169758
2021-09-11 06:58:23.354817 : Epoch  4, Batch    918, Loss  0.861512, Average Loss  0.868243, Time  0.169674
2021-09-11 06:58:24.999989 : Epoch  4, Batch    919, Loss  0.898712, Average Loss  0.868309, Time  0.169530
2021-09-11 06:58:26.613767 : Epoch  4, Batch    920, Loss  0.896746, Average Loss  0.868441, Time  0.169809
2021-09-11 06:58:28.241767 : Epoch  4, Batch    921, Loss  0.883356, Average Loss  0.868496, Time  0.169710
2021-09-11 06:58:29.875001 : Epoch  4, Batch    922, Loss  0.916928, Average Loss  0.868788, Time  0.169763
2021-09-11 06:58:31.494811 : Epoch  4, Batch    923, Loss  0.876811, Average Loss  0.868964, Time  0.169708
2021-09-11 06:58:33.134745 : Epoch  4, Batch    924, Loss  0.841525, Average Loss  0.868837, Time  0.169985
2021-09-11 06:58:34.749757 : Epoch  4, Batch    925, Loss  0.850597, Average Loss  0.868622, Time  0.170044
2021-09-11 06:58:36.375998 : Epoch  4, Batch    926, Loss  0.854498, Average Loss  0.868590, Time  0.169491
2021-09-11 06:58:38.015822 : Epoch  4, Batch    927, Loss  0.869499, Average Loss  0.868485, Time  0.169576
2021-09-11 06:58:39.651735 : Epoch  4, Batch    928, Loss  0.875988, Average Loss  0.868600, Time  0.169840
2021-09-11 06:58:41.278783 : Epoch  4, Batch    929, Loss  0.870470, Average Loss  0.868614, Time  0.170186
2021-09-11 06:58:42.900774 : Epoch  4, Batch    930, Loss  0.876765, Average Loss  0.868555, Time  0.169789
2021-09-11 06:58:44.512980 : Epoch  4, Batch    931, Loss  0.887998, Average Loss  0.868747, Time  0.169736
2021-09-11 06:58:46.131997 : Epoch  4, Batch    932, Loss  0.834044, Average Loss  0.868503, Time  0.169641
2021-09-11 06:58:47.754769 : Epoch  4, Batch    933, Loss  0.882754, Average Loss  0.868514, Time  0.169477
2021-09-11 06:58:49.391991 : Epoch  4, Batch    934, Loss  0.892942, Average Loss  0.868648, Time  0.169950
2021-09-11 06:58:51.018872 : Epoch  4, Batch    935, Loss  0.863737, Average Loss  0.868557, Time  0.169757
2021-09-11 06:58:52.640993 : Epoch  4, Batch    936, Loss  0.846948, Average Loss  0.868505, Time  0.172150
2021-09-11 06:58:54.264775 : Epoch  4, Batch    937, Loss  0.864942, Average Loss  0.868395, Time  0.169618
2021-09-11 06:58:55.888860 : Epoch  4, Batch    938, Loss  0.873305, Average Loss  0.868607, Time  0.169421
2021-09-11 06:58:57.509824 : Epoch  4, Batch    939, Loss  0.842838, Average Loss  0.868387, Time  0.169595
2021-09-11 06:58:59.147989 : Epoch  4, Batch    940, Loss  0.866236, Average Loss  0.868476, Time  0.169781
2021-09-11 06:59:00.810804 : Epoch  4, Batch    941, Loss  0.852748, Average Loss  0.868422, Time  0.169815
2021-09-11 06:59:02.446749 : Epoch  4, Batch    942, Loss  0.847612, Average Loss  0.868390, Time  0.169413
2021-09-11 06:59:04.070001 : Epoch  4, Batch    943, Loss  0.885258, Average Loss  0.868447, Time  0.169875
2021-09-11 06:59:05.706824 : Epoch  4, Batch    944, Loss  0.873220, Average Loss  0.868454, Time  0.169808
2021-09-11 06:59:07.328837 : Epoch  4, Batch    945, Loss  0.854150, Average Loss  0.868439, Time  0.171041
2021-09-11 06:59:08.951823 : Epoch  4, Batch    946, Loss  0.882586, Average Loss  0.868559, Time  0.169307
2021-09-11 06:59:10.576785 : Epoch  4, Batch    947, Loss  0.866628, Average Loss  0.868681, Time  0.170034
2021-09-11 06:59:12.219740 : Epoch  4, Batch    948, Loss  0.845543, Average Loss  0.868468, Time  0.169961
2021-09-11 06:59:13.845996 : Epoch  4, Batch    949, Loss  0.878783, Average Loss  0.868445, Time  0.169324
2021-09-11 06:59:15.462000 : Epoch  4, Batch    950, Loss  0.835941, Average Loss  0.868261, Time  0.170039
2021-09-11 06:59:17.077995 : Epoch  4, Batch    951, Loss  0.859179, Average Loss  0.868273, Time  0.169484
2021-09-11 06:59:18.708999 : Epoch  4, Batch    952, Loss  0.878160, Average Loss  0.868291, Time  0.169663
2021-09-11 06:59:20.349006 : Epoch  4, Batch    953, Loss  0.836349, Average Loss  0.868076, Time  0.169778
2021-09-11 06:59:21.972868 : Epoch  4, Batch    954, Loss  0.874450, Average Loss  0.868145, Time  0.169572
2021-09-11 06:59:23.613991 : Epoch  4, Batch    955, Loss  0.886987, Average Loss  0.868243, Time  0.171807
2021-09-11 06:59:25.238000 : Epoch  4, Batch    956, Loss  0.856404, Average Loss  0.868053, Time  0.169795
2021-09-11 06:59:26.853751 : Epoch  4, Batch    957, Loss  0.857750, Average Loss  0.868003, Time  0.169943
2021-09-11 06:59:28.482011 : Epoch  4, Batch    958, Loss  0.860246, Average Loss  0.867978, Time  0.169443
2021-09-11 06:59:30.106987 : Epoch  4, Batch    959, Loss  0.849329, Average Loss  0.867944, Time  0.169884
2021-09-11 06:59:31.745836 : Epoch  4, Batch    960, Loss  0.899414, Average Loss  0.868085, Time  0.169668
2021-09-11 06:59:33.372000 : Epoch  4, Batch    961, Loss  0.896995, Average Loss  0.868157, Time  0.169657
2021-09-11 06:59:34.983994 : Epoch  4, Batch    962, Loss  0.873482, Average Loss  0.868202, Time  0.171805
2021-09-11 06:59:36.591770 : Epoch  4, Batch    963, Loss  0.883765, Average Loss  0.868095, Time  0.169771
2021-09-11 06:59:38.203986 : Epoch  4, Batch    964, Loss  0.919920, Average Loss  0.868507, Time  0.170358
2021-09-11 06:59:39.819007 : Epoch  4, Batch    965, Loss  0.877621, Average Loss  0.868610, Time  0.170095
2021-09-11 06:59:41.419760 : Epoch  4, Batch    966, Loss  0.874954, Average Loss  0.868602, Time  0.169916
2021-09-11 06:59:43.001992 : Epoch  4, Batch    967, Loss  0.868573, Average Loss  0.868705, Time  0.175637
2021-09-11 07:00:14.215695 : CheckPoint: Validation Loss  0.00029487, Best Loss  0.00029375
2021-09-11 07:00:16.814123 : Epoch  3, Batch     89, Loss  0.883060, Average Loss  0.870899, Time  0.241257
2021-09-11 07:00:19.408115 : Epoch  3, Batch     90, Loss  0.889892, Average Loss  0.871014, Time  0.245483
2021-09-11 07:00:22.012708 : Epoch  3, Batch     91, Loss  0.877922, Average Loss  0.870981, Time  0.238009
2021-09-11 07:00:24.627128 : Epoch  3, Batch     92, Loss  0.862336, Average Loss  0.870974, Time  0.246293
2021-09-11 07:00:27.312027 : Epoch  3, Batch     93, Loss  0.885781, Average Loss  0.871129, Time  0.259784
2021-09-11 07:00:29.925457 : Epoch  3, Batch     94, Loss  0.877363, Average Loss  0.871139, Time  0.243193
2021-09-11 07:00:32.536330 : Epoch  3, Batch     95, Loss  0.876802, Average Loss  0.871163, Time  0.250037
2021-09-11 07:00:35.146728 : Epoch  3, Batch     96, Loss  0.875153, Average Loss  0.871134, Time  0.239106
2021-09-11 07:00:37.828895 : Epoch  3, Batch     97, Loss  0.862714, Average Loss  0.871067, Time  0.263747
2021-09-11 07:00:40.501314 : Epoch  3, Batch     98, Loss  0.865165, Average Loss  0.871142, Time  0.259644
2021-09-11 07:00:43.171967 : Epoch  3, Batch     99, Loss  0.867960, Average Loss  0.871117, Time  0.257393
2021-09-11 07:00:45.850987 : Epoch  3, Batch    100, Loss  0.866752, Average Loss  0.871073, Time  0.262351
2021-09-11 07:00:48.529316 : Epoch  3, Batch    101, Loss  0.860956, Average Loss  0.870990, Time  0.259289
2021-09-11 07:00:51.215917 : Epoch  3, Batch    102, Loss  0.868258, Average Loss  0.870910, Time  0.259939
2021-09-11 07:00:53.885858 : Epoch  3, Batch    103, Loss  0.846706, Average Loss  0.870753, Time  0.260046
2021-09-11 07:00:56.539444 : Epoch  3, Batch    104, Loss  0.866632, Average Loss  0.870755, Time  0.238037
2021-09-11 07:00:59.152362 : Epoch  3, Batch    105, Loss  0.895680, Average Loss  0.870988, Time  0.241145
2021-09-11 07:01:01.779296 : Epoch  3, Batch    106, Loss  0.853378, Average Loss  0.870837, Time  0.240200
2021-09-11 07:01:04.376758 : Epoch  3, Batch    107, Loss  0.858604, Average Loss  0.870708, Time  0.238819
2021-09-11 07:01:06.975982 : Epoch  3, Batch    108, Loss  0.852892, Average Loss  0.870611, Time  0.239422
2021-09-11 07:01:09.651932 : Epoch  3, Batch    109, Loss  0.885734, Average Loss  0.870701, Time  0.263661
2021-09-11 07:01:12.273385 : Epoch  3, Batch    110, Loss  0.842154, Average Loss  0.870597, Time  0.239962
2021-09-11 07:01:14.904859 : Epoch  3, Batch    111, Loss  0.863701, Average Loss  0.870643, Time  0.243986
2021-09-11 07:01:17.521666 : Epoch  3, Batch    112, Loss  0.870518, Average Loss  0.870579, Time  0.244642
2021-09-11 07:01:20.125057 : Epoch  3, Batch    113, Loss  0.884800, Average Loss  0.870729, Time  0.243980
2021-09-11 07:01:22.716938 : Epoch  3, Batch    114, Loss  0.861668, Average Loss  0.870624, Time  0.241968
2021-09-11 07:01:25.307848 : Epoch  3, Batch    115, Loss  0.873175, Average Loss  0.870618, Time  0.240413
2021-09-11 07:01:27.909529 : Epoch  3, Batch    116, Loss  0.860547, Average Loss  0.870646, Time  0.240497
2021-09-11 07:01:30.543934 : Epoch  3, Batch    117, Loss  0.860001, Average Loss  0.870519, Time  0.244208
2021-09-11 07:01:33.169956 : Epoch  3, Batch    118, Loss  0.872762, Average Loss  0.870561, Time  0.241333
2021-09-11 07:01:35.785162 : Epoch  3, Batch    119, Loss  0.860803, Average Loss  0.870517, Time  0.243689
2021-09-11 07:01:38.398862 : Epoch  3, Batch    120, Loss  0.865207, Average Loss  0.870562, Time  0.243162
2021-09-11 07:01:40.996755 : Epoch  3, Batch    121, Loss  0.892314, Average Loss  0.870635, Time  0.241468
2021-09-11 07:01:43.601780 : Epoch  3, Batch    122, Loss  0.879794, Average Loss  0.870735, Time  0.240295
2021-09-11 07:01:46.190889 : Epoch  3, Batch    123, Loss  0.864985, Average Loss  0.870614, Time  0.239698
2021-09-11 07:01:48.785420 : Epoch  3, Batch    124, Loss  0.883271, Average Loss  0.870633, Time  0.241444
2021-09-11 07:01:51.387836 : Epoch  3, Batch    125, Loss  0.858632, Average Loss  0.870613, Time  0.243762
2021-09-11 07:01:54.070798 : Epoch  3, Batch    126, Loss  0.864958, Average Loss  0.870637, Time  0.260586
2021-09-11 07:01:56.705437 : Epoch  3, Batch    127, Loss  0.883501, Average Loss  0.870718, Time  0.240682
2021-09-11 07:01:59.328453 : Epoch  3, Batch    128, Loss  0.866572, Average Loss  0.870646, Time  0.244759
2021-09-11 07:02:01.943861 : Epoch  3, Batch    129, Loss  0.865683, Average Loss  0.870553, Time  0.239996
2021-09-11 07:02:04.529145 : Epoch  3, Batch    130, Loss  0.871010, Average Loss  0.870487, Time  0.241857
2021-09-11 07:02:07.155039 : Epoch  3, Batch    131, Loss  0.880224, Average Loss  0.870489, Time  0.259976
2021-09-11 07:02:09.832361 : Epoch  3, Batch    132, Loss  0.868716, Average Loss  0.870465, Time  0.240209
2021-09-11 07:02:12.448759 : Epoch  3, Batch    133, Loss  0.875506, Average Loss  0.870496, Time  0.239041
2021-09-11 07:02:15.098388 : Epoch  3, Batch    134, Loss  0.859360, Average Loss  0.870390, Time  0.262137
2021-09-11 07:02:17.768818 : Epoch  3, Batch    135, Loss  0.841585, Average Loss  0.870158, Time  0.262490
2021-09-11 07:02:20.392077 : Epoch  3, Batch    136, Loss  0.860683, Average Loss  0.870049, Time  0.243633
2021-09-11 07:02:23.011102 : Epoch  3, Batch    137, Loss  0.870558, Average Loss  0.869942, Time  0.240651
2021-09-11 07:02:25.631857 : Epoch  3, Batch    138, Loss  0.882930, Average Loss  0.869998, Time  0.240485
2021-09-11 07:02:28.283317 : Epoch  3, Batch    139, Loss  0.880894, Average Loss  0.870036, Time  0.259025
2021-09-11 07:02:30.980392 : Epoch  3, Batch    140, Loss  0.860236, Average Loss  0.870018, Time  0.264174
2021-09-11 07:02:33.673042 : Epoch  3, Batch    141, Loss  0.869036, Average Loss  0.870022, Time  0.263141
2021-09-11 07:02:36.331213 : Epoch  3, Batch    142, Loss  0.863776, Average Loss  0.869980, Time  0.238119
2021-09-11 07:02:38.935239 : Epoch  3, Batch    143, Loss  0.894655, Average Loss  0.870016, Time  0.242537
2021-09-11 07:02:41.541894 : Epoch  3, Batch    144, Loss  0.858852, Average Loss  0.869930, Time  0.239386
2021-09-11 07:02:44.193762 : Epoch  3, Batch    145, Loss  0.856333, Average Loss  0.869823, Time  0.258359
2021-09-11 07:02:46.878154 : Epoch  3, Batch    146, Loss  0.888911, Average Loss  0.869956, Time  0.260438
2021-09-11 07:02:49.562229 : Epoch  3, Batch    147, Loss  0.839418, Average Loss  0.869773, Time  0.262894
2021-09-11 07:02:52.152741 : Epoch  3, Batch    148, Loss  0.875635, Average Loss  0.869782, Time  0.237937
2021-09-11 07:02:54.847053 : Epoch  3, Batch    149, Loss  0.873937, Average Loss  0.869888, Time  0.265276
2021-09-11 07:02:57.536419 : Epoch  3, Batch    150, Loss  0.861155, Average Loss  0.869926, Time  0.263447
2021-09-11 07:03:00.208241 : Epoch  3, Batch    151, Loss  0.866397, Average Loss  0.869906, Time  0.257229
2021-09-11 07:03:02.821246 : Epoch  3, Batch    152, Loss  0.887977, Average Loss  0.869937, Time  0.242819
2021-09-11 07:03:05.416726 : Epoch  3, Batch    153, Loss  0.872639, Average Loss  0.869992, Time  0.240571
2021-09-11 07:03:08.030827 : Epoch  3, Batch    154, Loss  0.869776, Average Loss  0.869886, Time  0.240422
2021-09-11 07:03:10.624129 : Epoch  3, Batch    155, Loss  0.891283, Average Loss  0.870013, Time  0.243114
2021-09-11 07:03:13.281089 : Epoch  3, Batch    156, Loss  0.868907, Average Loss  0.870136, Time  0.239642
2021-09-11 07:03:15.897989 : Epoch  3, Batch    157, Loss  0.862825, Average Loss  0.870127, Time  0.239564
2021-09-11 07:03:18.518595 : Epoch  3, Batch    158, Loss  0.878566, Average Loss  0.870121, Time  0.242953
2021-09-11 07:03:21.133140 : Epoch  3, Batch    159, Loss  0.854549, Average Loss  0.870079, Time  0.240189
2021-09-11 07:03:23.750775 : Epoch  3, Batch    160, Loss  0.879751, Average Loss  0.870210, Time  0.240206
2021-09-11 07:03:26.350834 : Epoch  3, Batch    161, Loss  0.879975, Average Loss  0.870285, Time  0.240319
2021-09-11 07:03:28.951456 : Epoch  3, Batch    162, Loss  0.851031, Average Loss  0.870181, Time  0.245619
2021-09-11 07:03:31.558230 : Epoch  3, Batch    163, Loss  0.836752, Average Loss  0.869941, Time  0.240310
2021-09-11 07:03:34.161855 : Epoch  3, Batch    164, Loss  0.870404, Average Loss  0.869924, Time  0.238397
2021-09-11 07:03:36.767568 : Epoch  3, Batch    165, Loss  0.888023, Average Loss  0.869891, Time  0.243580
2021-09-11 07:03:39.383307 : Epoch  3, Batch    166, Loss  0.875727, Average Loss  0.869739, Time  0.239948
2021-09-11 07:03:42.051013 : Epoch  3, Batch    167, Loss  0.874116, Average Loss  0.869728, Time  0.261591
2021-09-11 07:03:44.630207 : Epoch  3, Batch    168, Loss  0.874083, Average Loss  0.869751, Time  0.239498
2021-09-11 07:03:47.224802 : Epoch  3, Batch    169, Loss  0.866465, Average Loss  0.869711, Time  0.237539
2021-09-11 07:03:49.852903 : Epoch  3, Batch    170, Loss  0.857117, Average Loss  0.869614, Time  0.244998
2021-09-11 07:03:52.438334 : Epoch  3, Batch    171, Loss  0.870888, Average Loss  0.869572, Time  0.241977
2021-09-11 07:03:55.043358 : Epoch  3, Batch    172, Loss  0.867070, Average Loss  0.869448, Time  0.244998
2021-09-11 07:03:57.636919 : Epoch  3, Batch    173, Loss  0.872319, Average Loss  0.869522, Time  0.246370
2021-09-11 07:04:00.254100 : Epoch  3, Batch    174, Loss  0.853109, Average Loss  0.869509, Time  0.238219
2021-09-11 07:04:02.873833 : Epoch  3, Batch    175, Loss  0.895020, Average Loss  0.869615, Time  0.243350
2021-09-11 07:04:05.481400 : Epoch  3, Batch    176, Loss  0.864129, Average Loss  0.869602, Time  0.239357
2021-09-11 07:04:08.087676 : Epoch  3, Batch    177, Loss  0.875850, Average Loss  0.869651, Time  0.239998
2021-09-11 07:04:10.689602 : Epoch  3, Batch    178, Loss  0.856684, Average Loss  0.869571, Time  0.240766
2021-09-11 07:04:13.282056 : Epoch  3, Batch    179, Loss  0.875517, Average Loss  0.869609, Time  0.237675
2021-09-11 07:04:15.863998 : Epoch  3, Batch    180, Loss  0.881903, Average Loss  0.869632, Time  0.237815
2021-09-11 07:04:18.466828 : Epoch  3, Batch    181, Loss  0.880764, Average Loss  0.869711, Time  0.242949
2021-09-11 07:04:21.063492 : Epoch  3, Batch    182, Loss  0.882549, Average Loss  0.869814, Time  0.244669
2021-09-11 07:04:23.153284 : CheckPoint: Validation Loss  0.00060282, Best Loss  0.00057296
2021-09-11 07:04:23.655026 : Epoch  3, Batch    183, Loss  0.892110, Average Loss  0.870096, Time  0.240153
2021-09-11 07:04:24.743826 : Epoch  4, Batch    968, Loss  0.863721, Average Loss  0.868694, Time  0.177991
2021-09-11 07:04:26.247886 : Epoch  3, Batch    184, Loss  0.860942, Average Loss  0.870173, Time  0.238912
2021-09-11 07:04:26.340747 : Epoch  4, Batch    969, Loss  0.911520, Average Loss  0.869060, Time  0.170515
2021-09-11 07:04:27.911736 : Epoch  4, Batch    970, Loss  0.893599, Average Loss  0.869281, Time  0.169972
2021-09-11 07:04:28.837823 : Epoch  3, Batch    185, Loss  0.893604, Average Loss  0.870234, Time  0.238218
2021-09-11 07:04:29.521076 : Epoch  4, Batch    971, Loss  0.868936, Average Loss  0.869217, Time  0.171244
2021-09-11 07:04:31.109019 : Epoch  4, Batch    972, Loss  0.863275, Average Loss  0.869288, Time  0.170622
2021-09-11 07:04:31.411963 : Epoch  3, Batch    186, Loss  0.861219, Average Loss  0.870126, Time  0.237602
2021-09-11 07:04:32.735836 : Epoch  4, Batch    973, Loss  0.846714, Average Loss  0.869209, Time  0.182178
2021-09-11 07:04:33.994994 : Epoch  3, Batch    187, Loss  0.860333, Average Loss  0.870150, Time  0.237687
2021-09-11 07:04:34.323065 : Epoch  4, Batch    974, Loss  0.872624, Average Loss  0.869120, Time  0.175219
2021-09-11 07:04:35.920036 : Epoch  4, Batch    975, Loss  0.852066, Average Loss  0.869040, Time  0.174021
2021-09-11 07:04:36.580353 : Epoch  3, Batch    188, Loss  0.870332, Average Loss  0.870090, Time  0.237082
2021-09-11 07:04:37.533026 : Epoch  4, Batch    976, Loss  0.880701, Average Loss  0.868940, Time  0.182924
2021-09-11 07:04:39.139746 : Epoch  4, Batch    977, Loss  0.888582, Average Loss  0.869095, Time  0.174476
2021-09-11 07:04:40.739035 : Epoch  4, Batch    978, Loss  0.841265, Average Loss  0.868815, Time  0.170277
2021-09-11 07:04:42.356749 : Epoch  4, Batch    979, Loss  0.855198, Average Loss  0.868737, Time  0.183358
2021-09-11 07:04:43.960834 : Epoch  4, Batch    980, Loss  0.862365, Average Loss  0.868743, Time  0.175867
2021-09-11 07:04:45.557790 : Epoch  4, Batch    981, Loss  0.863706, Average Loss  0.868732, Time  0.173522
2021-09-11 07:04:47.163744 : Epoch  4, Batch    982, Loss  0.857285, Average Loss  0.868650, Time  0.176696
2021-09-11 07:04:48.753027 : Epoch  4, Batch    983, Loss  0.874471, Average Loss  0.868682, Time  0.170576
2021-09-11 07:04:50.360787 : Epoch  4, Batch    984, Loss  0.863290, Average Loss  0.868711, Time  0.171560
2021-09-11 07:04:51.955754 : Epoch  4, Batch    985, Loss  0.882767, Average Loss  0.868783, Time  0.171978
2021-09-11 07:04:53.563787 : Epoch  4, Batch    986, Loss  0.844627, Average Loss  0.868572, Time  0.175204
2021-09-11 07:04:55.166040 : Epoch  4, Batch    987, Loss  0.853364, Average Loss  0.868468, Time  0.169694
2021-09-11 07:04:56.765803 : Epoch  4, Batch    988, Loss  0.866863, Average Loss  0.868497, Time  0.173933
2021-09-11 07:04:58.347788 : Epoch  4, Batch    989, Loss  0.879590, Average Loss  0.868481, Time  0.173408
2021-09-11 07:04:59.955744 : Epoch  4, Batch    990, Loss  0.872124, Average Loss  0.868442, Time  0.177787
2021-09-11 07:05:01.595744 : Epoch  4, Batch    991, Loss  0.875564, Average Loss  0.868312, Time  0.174183
2021-09-11 07:05:03.213033 : Epoch  4, Batch    992, Loss  0.883870, Average Loss  0.868270, Time  0.180115
2021-09-11 07:05:04.823772 : Epoch  4, Batch    993, Loss  0.866700, Average Loss  0.868288, Time  0.184130
2021-09-11 07:05:06.435838 : Epoch  4, Batch    994, Loss  0.879737, Average Loss  0.868329, Time  0.170487
2021-09-11 07:05:08.084907 : Epoch  4, Batch    995, Loss  0.853463, Average Loss  0.868068, Time  0.170477
2021-09-11 07:05:09.696803 : Epoch  4, Batch    996, Loss  0.887484, Average Loss  0.868233, Time  0.177116
2021-09-11 07:05:11.303038 : Epoch  4, Batch    997, Loss  0.868983, Average Loss  0.868118, Time  0.170156
2021-09-11 07:05:12.912033 : Epoch  4, Batch    998, Loss  0.864273, Average Loss  0.868148, Time  0.174335
2021-09-11 07:05:14.517030 : Epoch  4, Batch    999, Loss  0.867540, Average Loss  0.868178, Time  0.172457
2021-09-11 07:05:16.131020 : Epoch  4, Batch   1000, Loss  0.863359, Average Loss  0.868127, Time  0.178053
2021-09-11 07:05:17.753029 : Epoch  4, Batch   1001, Loss  0.859447, Average Loss  0.868082, Time  0.177760
2021-09-11 07:05:19.346791 : Epoch  4, Batch   1002, Loss  0.890318, Average Loss  0.868297, Time  0.170493
2021-09-11 07:05:20.980775 : Epoch  4, Batch   1003, Loss  0.903249, Average Loss  0.868426, Time  0.191541
2021-09-11 07:05:22.603781 : Epoch  4, Batch   1004, Loss  0.847267, Average Loss  0.868311, Time  0.174571
2021-09-11 07:05:24.227743 : Epoch  4, Batch   1005, Loss  0.851839, Average Loss  0.868129, Time  0.169710
2021-09-11 07:05:25.845815 : Epoch  4, Batch   1006, Loss  0.855059, Average Loss  0.867920, Time  0.170757
2021-09-11 07:05:27.449912 : Epoch  4, Batch   1007, Loss  0.854940, Average Loss  0.867969, Time  0.170495
2021-09-11 07:05:29.048043 : Epoch  4, Batch   1008, Loss  0.866915, Average Loss  0.867998, Time  0.174431
2021-09-11 07:05:30.651762 : Epoch  4, Batch   1009, Loss  0.860347, Average Loss  0.867949, Time  0.170060
2021-09-11 07:05:32.283771 : Epoch  4, Batch   1010, Loss  0.838871, Average Loss  0.867803, Time  0.170862
2021-09-11 07:05:33.903936 : Epoch  4, Batch   1011, Loss  0.845243, Average Loss  0.867718, Time  0.173907
2021-09-11 07:05:35.557734 : Epoch  4, Batch   1012, Loss  0.850304, Average Loss  0.867452, Time  0.172925
2021-09-11 07:05:37.183788 : Epoch  4, Batch   1013, Loss  0.841614, Average Loss  0.867414, Time  0.176450
2021-09-11 07:05:38.792809 : Epoch  4, Batch   1014, Loss  0.876668, Average Loss  0.867297, Time  0.177102
2021-09-11 07:05:40.401828 : Epoch  4, Batch   1015, Loss  0.870966, Average Loss  0.867405, Time  0.172518
2021-09-11 07:05:42.026018 : Epoch  4, Batch   1016, Loss  0.858673, Average Loss  0.867262, Time  0.170197
2021-09-11 07:05:43.616794 : Epoch  4, Batch   1017, Loss  0.871797, Average Loss  0.867416, Time  0.169931
2021-09-11 07:05:45.227844 : Epoch  4, Batch   1018, Loss  0.840182, Average Loss  0.867296, Time  0.169810
2021-09-11 07:05:46.810228 : Epoch  4, Batch   1019, Loss  0.848926, Average Loss  0.867230, Time  0.174305
2021-09-11 07:05:48.432926 : Epoch  4, Batch   1020, Loss  0.878419, Average Loss  0.867329, Time  0.171853
2021-09-11 07:05:50.057760 : Epoch  4, Batch   1021, Loss  0.857035, Average Loss  0.867158, Time  0.185879
2021-09-11 07:05:51.636799 : Epoch  4, Batch   1022, Loss  0.889855, Average Loss  0.867172, Time  0.169810
2021-09-11 07:05:53.233746 : Epoch  4, Batch   1023, Loss  0.864798, Average Loss  0.867066, Time  0.177228
2021-09-11 07:05:54.843883 : Epoch  4, Batch   1024, Loss  0.860542, Average Loss  0.867189, Time  0.172335
2021-09-11 07:05:56.433035 : Epoch  4, Batch   1025, Loss  0.866827, Average Loss  0.867079, Time  0.170371
2021-09-11 07:05:58.026778 : Epoch  4, Batch   1026, Loss  0.869975, Average Loss  0.867146, Time  0.170566
2021-09-11 07:05:59.629738 : Epoch  4, Batch   1027, Loss  0.869200, Average Loss  0.867145, Time  0.172390
2021-09-11 07:06:01.220925 : Epoch  4, Batch   1028, Loss  0.865914, Average Loss  0.867123, Time  0.173372
2021-09-11 07:06:02.838808 : Epoch  4, Batch   1029, Loss  0.845192, Average Loss  0.866945, Time  0.170129
2021-09-11 07:06:04.439738 : Epoch  4, Batch   1030, Loss  0.898710, Average Loss  0.867071, Time  0.173428
2021-09-11 07:06:06.040745 : Epoch  4, Batch   1031, Loss  0.852859, Average Loss  0.867091, Time  0.174786
2021-09-11 07:06:07.657050 : Epoch  4, Batch   1032, Loss  0.884948, Average Loss  0.867247, Time  0.172318
2021-09-11 07:06:09.254866 : Epoch  4, Batch   1033, Loss  0.868697, Average Loss  0.867254, Time  0.170093
2021-09-11 07:06:10.861788 : Epoch  4, Batch   1034, Loss  0.840518, Average Loss  0.866922, Time  0.173308
2021-09-11 07:06:12.472795 : Epoch  4, Batch   1035, Loss  0.863739, Average Loss  0.866774, Time  0.182165
2021-09-11 07:06:14.077914 : Epoch  4, Batch   1036, Loss  0.867481, Average Loss  0.866673, Time  0.173037
2021-09-11 07:06:15.668866 : Epoch  4, Batch   1037, Loss  0.855633, Average Loss  0.866686, Time  0.173955
2021-09-11 07:06:17.305746 : Epoch  4, Batch   1038, Loss  0.885181, Average Loss  0.866719, Time  0.173910
2021-09-11 07:06:18.922036 : Epoch  4, Batch   1039, Loss  0.856516, Average Loss  0.866684, Time  0.176000
2021-09-11 07:06:20.515030 : Epoch  4, Batch   1040, Loss  0.847271, Average Loss  0.866497, Time  0.173059
2021-09-11 07:06:22.113046 : Epoch  4, Batch   1041, Loss  0.873654, Average Loss  0.866585, Time  0.170841
2021-09-11 07:06:23.720033 : Epoch  4, Batch   1042, Loss  0.860184, Average Loss  0.866572, Time  0.171513
2021-09-11 07:06:25.355023 : Epoch  4, Batch   1043, Loss  0.829403, Average Loss  0.866483, Time  0.173936
2021-09-11 07:06:26.939048 : Epoch  4, Batch   1044, Loss  0.852239, Average Loss  0.866533, Time  0.173948
2021-09-11 07:06:28.554819 : Epoch  4, Batch   1045, Loss  0.889494, Average Loss  0.866624, Time  0.175610
2021-09-11 07:06:30.181754 : Epoch  4, Batch   1046, Loss  0.877042, Average Loss  0.866548, Time  0.181821
2021-09-11 07:06:31.829920 : Epoch  4, Batch   1047, Loss  0.855382, Average Loss  0.866540, Time  0.175712
2021-09-11 07:06:33.456755 : Epoch  4, Batch   1048, Loss  0.891513, Average Loss  0.866731, Time  0.173211
2021-09-11 07:06:35.074101 : Epoch  4, Batch   1049, Loss  0.858843, Average Loss  0.866883, Time  0.178923
2021-09-11 07:06:36.696784 : Epoch  4, Batch   1050, Loss  0.879122, Average Loss  0.866937, Time  0.176227
2021-09-11 07:06:38.295795 : Epoch  4, Batch   1051, Loss  0.813076, Average Loss  0.866636, Time  0.175299
2021-09-11 07:06:39.899771 : Epoch  4, Batch   1052, Loss  0.875886, Average Loss  0.866604, Time  0.174733
2021-09-11 07:06:41.504059 : Epoch  4, Batch   1053, Loss  0.881649, Average Loss  0.866657, Time  0.170240
2021-09-11 07:06:43.110755 : Epoch  4, Batch   1054, Loss  0.868517, Average Loss  0.866684, Time  0.170256
2021-09-11 07:06:44.738054 : Epoch  4, Batch   1055, Loss  0.855729, Average Loss  0.866681, Time  0.170372
2021-09-11 07:06:46.347840 : Epoch  4, Batch   1056, Loss  0.879773, Average Loss  0.866760, Time  0.180421
2021-09-11 07:06:47.970022 : Epoch  4, Batch   1057, Loss  0.870036, Average Loss  0.866695, Time  0.169979
2021-09-11 07:06:49.568863 : Epoch  4, Batch   1058, Loss  0.833874, Average Loss  0.866571, Time  0.170010
2021-09-11 07:06:51.172043 : Epoch  4, Batch   1059, Loss  0.866718, Average Loss  0.866626, Time  0.169898
2021-09-11 07:06:52.811948 : Epoch  4, Batch   1060, Loss  0.877811, Average Loss  0.866648, Time  0.173404
2021-09-11 07:06:54.408825 : Epoch  4, Batch   1061, Loss  0.851989, Average Loss  0.866594, Time  0.171249
2021-09-11 07:06:56.018943 : Epoch  4, Batch   1062, Loss  0.841760, Average Loss  0.866505, Time  0.175918
2021-09-11 07:06:57.641765 : Epoch  4, Batch   1063, Loss  0.865913, Average Loss  0.866502, Time  0.170896
2021-09-11 07:06:59.228783 : Epoch  4, Batch   1064, Loss  0.873956, Average Loss  0.866531, Time  0.170382
2021-09-11 07:07:00.832080 : Epoch  4, Batch   1065, Loss  0.840244, Average Loss  0.866460, Time  0.172336
2021-09-11 07:07:02.463822 : Epoch  4, Batch   1066, Loss  0.889246, Average Loss  0.866459, Time  0.170144
2021-09-11 07:07:04.060893 : Epoch  4, Batch   1067, Loss  0.863586, Average Loss  0.866601, Time  0.170029
2021-09-11 07:08:43.385723 : CheckPoint: Validation Loss  0.00029591, Best Loss  0.00029375
2021-09-11 07:08:46.020871 : Epoch  3, Batch    189, Loss  0.873694, Average Loss  0.870189, Time  0.272062
2021-09-11 07:08:48.606308 : Epoch  3, Batch    190, Loss  0.870192, Average Loss  0.870155, Time  0.244267
2021-09-11 07:08:51.198509 : Epoch  3, Batch    191, Loss  0.871239, Average Loss  0.870125, Time  0.240274
2021-09-11 07:08:53.783462 : Epoch  3, Batch    192, Loss  0.866592, Average Loss  0.870190, Time  0.242889
2021-09-11 07:08:56.367800 : Epoch  3, Batch    193, Loss  0.867379, Average Loss  0.870086, Time  0.243258
2021-09-11 07:08:59.061453 : Epoch  3, Batch    194, Loss  0.887411, Average Loss  0.870069, Time  0.263067
2021-09-11 07:09:01.762683 : Epoch  3, Batch    195, Loss  0.878021, Average Loss  0.870092, Time  0.263642
2021-09-11 07:09:04.355030 : Epoch  3, Batch    196, Loss  0.873992, Average Loss  0.870155, Time  0.241138
2021-09-11 07:09:06.938742 : Epoch  3, Batch    197, Loss  0.862293, Average Loss  0.870184, Time  0.237577
2021-09-11 07:09:09.561470 : Epoch  3, Batch    198, Loss  0.872099, Average Loss  0.870097, Time  0.242854
2021-09-11 07:09:12.158828 : Epoch  3, Batch    199, Loss  0.881399, Average Loss  0.870211, Time  0.240609
2021-09-11 07:09:14.778855 : Epoch  3, Batch    200, Loss  0.872431, Average Loss  0.870185, Time  0.241887
2021-09-11 07:09:17.378393 : Epoch  3, Batch    201, Loss  0.884352, Average Loss  0.870154, Time  0.240499
2021-09-11 07:09:19.986430 : Epoch  3, Batch    202, Loss  0.853334, Average Loss  0.869939, Time  0.242844
2021-09-11 07:09:22.573344 : Epoch  3, Batch    203, Loss  0.903595, Average Loss  0.870115, Time  0.240601
2021-09-11 07:09:25.164939 : Epoch  3, Batch    204, Loss  0.859561, Average Loss  0.870031, Time  0.241646
2021-09-11 07:09:27.762920 : Epoch  3, Batch    205, Loss  0.862768, Average Loss  0.869942, Time  0.243431
2021-09-11 07:09:30.348850 : Epoch  3, Batch    206, Loss  0.864939, Average Loss  0.869979, Time  0.243558
2021-09-11 07:09:32.942039 : Epoch  3, Batch    207, Loss  0.894370, Average Loss  0.870022, Time  0.239280
2021-09-11 07:09:35.653888 : Epoch  3, Batch    208, Loss  0.866946, Average Loss  0.869859, Time  0.263285
2021-09-11 07:09:38.314204 : Epoch  3, Batch    209, Loss  0.871258, Average Loss  0.869880, Time  0.240303
2021-09-11 07:09:40.900313 : Epoch  3, Batch    210, Loss  0.878283, Average Loss  0.869944, Time  0.241404
2021-09-11 07:09:43.504078 : Epoch  3, Batch    211, Loss  0.885998, Average Loss  0.870025, Time  0.241215
2021-09-11 07:09:46.096885 : Epoch  3, Batch    212, Loss  0.874694, Average Loss  0.870119, Time  0.241021
2021-09-11 07:09:48.678725 : Epoch  3, Batch    213, Loss  0.870916, Average Loss  0.870228, Time  0.240985
2021-09-11 07:09:51.265993 : Epoch  3, Batch    214, Loss  0.881033, Average Loss  0.870229, Time  0.243371
2021-09-11 07:09:53.941370 : Epoch  3, Batch    215, Loss  0.862694, Average Loss  0.870226, Time  0.259301
2021-09-11 07:09:56.614306 : Epoch  3, Batch    216, Loss  0.850671, Average Loss  0.870119, Time  0.261924
2021-09-11 07:09:59.284798 : Epoch  3, Batch    217, Loss  0.878091, Average Loss  0.870117, Time  0.259040
2021-09-11 07:10:01.973870 : Epoch  3, Batch    218, Loss  0.872851, Average Loss  0.870133, Time  0.262455
2021-09-11 07:10:04.611116 : Epoch  3, Batch    219, Loss  0.891886, Average Loss  0.870206, Time  0.245357
2021-09-11 07:10:07.200393 : Epoch  3, Batch    220, Loss  0.874871, Average Loss  0.870242, Time  0.239804
2021-09-11 07:10:09.808529 : Epoch  3, Batch    221, Loss  0.865642, Average Loss  0.870165, Time  0.244289
2021-09-11 07:10:12.402461 : Epoch  3, Batch    222, Loss  0.875311, Average Loss  0.870161, Time  0.239974
2021-09-11 07:10:15.001860 : Epoch  3, Batch    223, Loss  0.877817, Average Loss  0.870229, Time  0.241420
2021-09-11 07:10:17.595601 : Epoch  3, Batch    224, Loss  0.851417, Average Loss  0.870139, Time  0.240755
2021-09-11 07:10:20.210128 : Epoch  3, Batch    225, Loss  0.858897, Average Loss  0.870179, Time  0.239336
2021-09-11 07:10:22.838450 : Epoch  3, Batch    226, Loss  0.873561, Average Loss  0.870248, Time  0.244009
2021-09-11 07:10:25.449032 : Epoch  3, Batch    227, Loss  0.877260, Average Loss  0.870245, Time  0.240329
2021-09-11 07:10:28.054128 : Epoch  3, Batch    228, Loss  0.848647, Average Loss  0.870100, Time  0.242737
2021-09-11 07:10:30.646143 : Epoch  3, Batch    229, Loss  0.844111, Average Loss  0.870021, Time  0.241982
2021-09-11 07:10:33.258995 : Epoch  3, Batch    230, Loss  0.855657, Average Loss  0.869840, Time  0.241220
2021-09-11 07:10:35.899841 : Epoch  3, Batch    231, Loss  0.875206, Average Loss  0.869766, Time  0.242269
2021-09-11 07:10:38.505069 : Epoch  3, Batch    232, Loss  0.854479, Average Loss  0.869728, Time  0.240519
2021-09-11 07:10:41.097025 : Epoch  3, Batch    233, Loss  0.890571, Average Loss  0.869785, Time  0.238037
2021-09-11 07:10:43.723941 : Epoch  3, Batch    234, Loss  0.872696, Average Loss  0.869885, Time  0.260691
2021-09-11 07:10:46.401089 : Epoch  3, Batch    235, Loss  0.896068, Average Loss  0.870071, Time  0.259501
2021-09-11 07:10:49.084811 : Epoch  3, Batch    236, Loss  0.872622, Average Loss  0.870120, Time  0.263767
2021-09-11 07:10:51.698912 : Epoch  3, Batch    237, Loss  0.897724, Average Loss  0.870194, Time  0.240289
2021-09-11 07:10:54.381473 : Epoch  3, Batch    238, Loss  0.859901, Average Loss  0.870223, Time  0.265706
2021-09-11 07:10:57.054798 : Epoch  3, Batch    239, Loss  0.861118, Average Loss  0.870173, Time  0.259413
2021-09-11 07:10:59.728831 : Epoch  3, Batch    240, Loss  0.860613, Average Loss  0.870120, Time  0.259204
2021-09-11 07:11:02.417413 : Epoch  3, Batch    241, Loss  0.870503, Average Loss  0.870169, Time  0.264018
2021-09-11 07:11:05.107455 : Epoch  3, Batch    242, Loss  0.869227, Average Loss  0.870215, Time  0.264939
2021-09-11 07:11:07.815055 : Epoch  3, Batch    243, Loss  0.873859, Average Loss  0.870171, Time  0.262738
2021-09-11 07:11:10.422785 : Epoch  3, Batch    244, Loss  0.861045, Average Loss  0.870123, Time  0.241818
2021-09-11 07:11:13.023841 : Epoch  3, Batch    245, Loss  0.877805, Average Loss  0.870106, Time  0.241137
2021-09-11 07:11:15.611370 : Epoch  3, Batch    246, Loss  0.859020, Average Loss  0.870028, Time  0.239719
2021-09-11 07:11:18.208402 : Epoch  3, Batch    247, Loss  0.864484, Average Loss  0.870043, Time  0.241379
2021-09-11 07:11:20.797390 : Epoch  3, Batch    248, Loss  0.882525, Average Loss  0.870098, Time  0.241052
2021-09-11 07:11:23.391882 : Epoch  3, Batch    249, Loss  0.864385, Average Loss  0.870164, Time  0.243107
2021-09-11 07:11:25.985873 : Epoch  3, Batch    250, Loss  0.884126, Average Loss  0.870176, Time  0.240094
2021-09-11 07:11:28.595383 : Epoch  3, Batch    251, Loss  0.872358, Average Loss  0.870198, Time  0.241537
2021-09-11 07:11:31.215930 : Epoch  3, Batch    252, Loss  0.882034, Average Loss  0.870196, Time  0.242245
2021-09-11 07:11:33.900246 : Epoch  3, Batch    253, Loss  0.849943, Average Loss  0.870085, Time  0.259692
2021-09-11 07:11:36.591979 : Epoch  3, Batch    254, Loss  0.860681, Average Loss  0.870061, Time  0.240212
2021-09-11 07:11:39.210432 : Epoch  3, Batch    255, Loss  0.861757, Average Loss  0.870060, Time  0.242508
2021-09-11 07:11:41.856927 : Epoch  3, Batch    256, Loss  0.865559, Average Loss  0.870121, Time  0.260577
2021-09-11 07:11:44.496855 : Epoch  3, Batch    257, Loss  0.880675, Average Loss  0.870224, Time  0.245320
2021-09-11 07:11:44.596722 : CheckPoint: Validation Loss  0.00059532, Best Loss  0.00057296
2021-09-11 07:11:46.236955 : Epoch  4, Batch   1068, Loss  0.898387, Average Loss  0.866803, Time  0.177651
2021-09-11 07:11:47.150599 : Epoch  3, Batch    258, Loss  0.875826, Average Loss  0.870310, Time  0.262233
2021-09-11 07:11:47.852734 : Epoch  4, Batch   1069, Loss  0.886988, Average Loss  0.866856, Time  0.174212
2021-09-11 07:11:49.476756 : Epoch  4, Batch   1070, Loss  0.865069, Average Loss  0.866871, Time  0.171345
2021-09-11 07:11:49.843740 : Epoch  3, Batch    259, Loss  0.872894, Average Loss  0.870326, Time  0.262617
2021-09-11 07:11:51.055736 : Epoch  4, Batch   1071, Loss  0.891886, Average Loss  0.866933, Time  0.172364
2021-09-11 07:11:52.472446 : Epoch  3, Batch    260, Loss  0.860662, Average Loss  0.870370, Time  0.243437
2021-09-11 07:11:52.688762 : Epoch  4, Batch   1072, Loss  0.894139, Average Loss  0.867090, Time  0.179659
2021-09-11 07:11:54.290034 : Epoch  4, Batch   1073, Loss  0.871429, Average Loss  0.867035, Time  0.170208
2021-09-11 07:11:55.126534 : Epoch  3, Batch    261, Loss  0.878957, Average Loss  0.870521, Time  0.242201
2021-09-11 07:11:55.889017 : Epoch  4, Batch   1074, Loss  0.865305, Average Loss  0.867035, Time  0.173986
2021-09-11 07:11:57.482956 : Epoch  4, Batch   1075, Loss  0.881377, Average Loss  0.867259, Time  0.169994
2021-09-11 07:11:57.744077 : Epoch  3, Batch    262, Loss  0.864798, Average Loss  0.870589, Time  0.237996
2021-09-11 07:11:59.072763 : Epoch  4, Batch   1076, Loss  0.866155, Average Loss  0.867315, Time  0.169835
2021-09-11 07:12:00.339892 : Epoch  3, Batch    263, Loss  0.865615, Average Loss  0.870553, Time  0.237602
2021-09-11 07:12:00.682030 : Epoch  4, Batch   1077, Loss  0.852312, Average Loss  0.867200, Time  0.184940
2021-09-11 07:12:02.312908 : Epoch  4, Batch   1078, Loss  0.862981, Average Loss  0.867169, Time  0.182858
2021-09-11 07:12:02.935388 : Epoch  3, Batch    264, Loss  0.880778, Average Loss  0.870590, Time  0.237929
2021-09-11 07:12:03.952039 : Epoch  4, Batch   1079, Loss  0.877055, Average Loss  0.867258, Time  0.170839
2021-09-11 07:12:05.570827 : Epoch  4, Batch   1080, Loss  0.838346, Average Loss  0.867170, Time  0.172031
2021-09-11 07:12:05.584973 : Epoch  3, Batch    265, Loss  0.868497, Average Loss  0.870638, Time  0.247260
2021-09-11 07:12:07.208041 : Epoch  4, Batch   1081, Loss  0.865132, Average Loss  0.867136, Time  0.174227
2021-09-11 07:12:08.240123 : Epoch  3, Batch    266, Loss  0.858027, Average Loss  0.870516, Time  0.238325
2021-09-11 07:12:08.820460 : Epoch  4, Batch   1082, Loss  0.869412, Average Loss  0.867210, Time  0.177275
2021-09-11 07:12:10.410023 : Epoch  4, Batch   1083, Loss  0.888594, Average Loss  0.867231, Time  0.176534
2021-09-11 07:12:10.848846 : Epoch  3, Batch    267, Loss  0.861559, Average Loss  0.870439, Time  0.245144
2021-09-11 07:12:12.008033 : Epoch  4, Batch   1084, Loss  0.876892, Average Loss  0.867067, Time  0.179503
2021-09-11 07:12:13.453864 : Epoch  3, Batch    268, Loss  0.887309, Average Loss  0.870399, Time  0.243762
2021-09-11 07:12:13.611978 : Epoch  4, Batch   1085, Loss  0.857299, Average Loss  0.867007, Time  0.171525
2021-09-11 07:12:15.229770 : Epoch  4, Batch   1086, Loss  0.885388, Average Loss  0.867059, Time  0.169971
2021-09-11 07:12:16.056874 : Epoch  3, Batch    269, Loss  0.844789, Average Loss  0.870223, Time  0.238675
2021-09-11 07:12:16.823036 : Epoch  4, Batch   1087, Loss  0.897145, Average Loss  0.867035, Time  0.170540
2021-09-11 07:12:18.436786 : Epoch  4, Batch   1088, Loss  0.838513, Average Loss  0.867011, Time  0.173706
2021-09-11 07:12:18.664419 : Epoch  3, Batch    270, Loss  0.854361, Average Loss  0.870125, Time  0.238440
2021-09-11 07:12:20.039754 : Epoch  4, Batch   1089, Loss  0.850298, Average Loss  0.867018, Time  0.174682
2021-09-11 07:12:21.292038 : Epoch  3, Batch    271, Loss  0.892865, Average Loss  0.870265, Time  0.239398
2021-09-11 07:12:21.653754 : Epoch  4, Batch   1090, Loss  0.843884, Average Loss  0.866805, Time  0.188626
2021-09-11 07:12:23.232550 : Epoch  4, Batch   1091, Loss  0.879869, Average Loss  0.867040, Time  0.171911
2021-09-11 07:12:23.895421 : Epoch  3, Batch    272, Loss  0.872518, Average Loss  0.870360, Time  0.237227
2021-09-11 07:12:24.837025 : Epoch  4, Batch   1092, Loss  0.878538, Average Loss  0.867011, Time  0.174140
2021-09-11 07:12:26.446028 : Epoch  4, Batch   1093, Loss  0.847813, Average Loss  0.867003, Time  0.179112
2021-09-11 07:12:26.505866 : Epoch  3, Batch    273, Loss  0.862803, Average Loss  0.870278, Time  0.240770
2021-09-11 07:12:28.055763 : Epoch  4, Batch   1094, Loss  0.870269, Average Loss  0.866989, Time  0.170650
2021-09-11 07:12:29.152978 : Epoch  3, Batch    274, Loss  0.878213, Average Loss  0.870316, Time  0.240416
2021-09-11 07:12:29.675036 : Epoch  4, Batch   1095, Loss  0.867989, Average Loss  0.866993, Time  0.169896
2021-09-11 07:12:31.298756 : Epoch  4, Batch   1096, Loss  0.869498, Average Loss  0.867155, Time  0.189016
2021-09-11 07:12:31.754399 : Epoch  3, Batch    275, Loss  0.865943, Average Loss  0.870331, Time  0.237943
2021-09-11 07:12:32.882028 : Epoch  4, Batch   1097, Loss  0.855669, Average Loss  0.867156, Time  0.173805
2021-09-11 07:12:34.337898 : Epoch  3, Batch    276, Loss  0.863379, Average Loss  0.870315, Time  0.237708
2021-09-11 07:12:34.501853 : Epoch  4, Batch   1098, Loss  0.862183, Average Loss  0.867031, Time  0.177665
2021-09-11 07:12:36.111032 : Epoch  4, Batch   1099, Loss  0.873880, Average Loss  0.867100, Time  0.174026
2021-09-11 07:12:36.947059 : Epoch  3, Batch    277, Loss  0.874643, Average Loss  0.870334, Time  0.238265
2021-09-11 07:12:37.726743 : Epoch  4, Batch   1100, Loss  0.871769, Average Loss  0.867026, Time  0.170563
2021-09-11 07:12:39.328031 : Epoch  4, Batch   1101, Loss  0.865748, Average Loss  0.867073, Time  0.170040
2021-09-11 07:12:39.546122 : Epoch  3, Batch    278, Loss  0.884826, Average Loss  0.870459, Time  0.240417
2021-09-11 07:12:40.937737 : Epoch  4, Batch   1102, Loss  0.861891, Average Loss  0.867246, Time  0.178617
2021-09-11 07:12:42.162477 : Epoch  3, Batch    279, Loss  0.878660, Average Loss  0.870582, Time  0.238290
2021-09-11 07:12:42.548035 : Epoch  4, Batch   1103, Loss  0.851188, Average Loss  0.867309, Time  0.170149
2021-09-11 07:12:44.167928 : Epoch  4, Batch   1104, Loss  0.845941, Average Loss  0.867233, Time  0.187876
2021-09-11 07:12:44.755413 : Epoch  3, Batch    280, Loss  0.874198, Average Loss  0.870599, Time  0.237888
2021-09-11 07:12:45.796029 : Epoch  4, Batch   1105, Loss  0.854307, Average Loss  0.867076, Time  0.170725
2021-09-11 07:12:47.393028 : Epoch  4, Batch   1106, Loss  0.835244, Average Loss  0.866971, Time  0.170279
2021-09-11 07:12:49.051033 : Epoch  4, Batch   1107, Loss  0.896533, Average Loss  0.867130, Time  0.176930
2021-09-11 07:12:49.984347 : Epoch  3, Batch    282, Loss  0.877613, Average Loss  0.870608, Time  0.237935
2021-09-11 07:12:50.670816 : Epoch  4, Batch   1108, Loss  0.849737, Average Loss  0.867040, Time  0.174894
2021-09-11 07:12:52.282882 : Epoch  4, Batch   1109, Loss  0.850090, Average Loss  0.867077, Time  0.172277
2021-09-11 07:12:52.575367 : Epoch  3, Batch    283, Loss  0.867020, Average Loss  0.870605, Time  0.236846
2021-09-11 07:12:53.891035 : Epoch  4, Batch   1110, Loss  0.876458, Average Loss  0.867160, Time  0.173235
2021-09-11 07:12:55.157384 : Epoch  3, Batch    284, Loss  0.874207, Average Loss  0.870619, Time  0.236850
2021-09-11 07:12:55.513030 : Epoch  4, Batch   1111, Loss  0.863396, Average Loss  0.867214, Time  0.175436
2021-09-11 07:12:57.126758 : Epoch  4, Batch   1112, Loss  0.897417, Average Loss  0.867256, Time  0.172511
2021-09-11 07:12:57.754772 : Epoch  3, Batch    285, Loss  0.855918, Average Loss  0.870547, Time  0.239050
2021-09-11 07:12:58.714030 : Epoch  4, Batch   1113, Loss  0.868885, Average Loss  0.867357, Time  0.171525
2021-09-11 07:13:00.301936 : Epoch  4, Batch   1114, Loss  0.855308, Average Loss  0.867125, Time  0.174706
2021-09-11 07:13:00.347027 : Epoch  3, Batch    286, Loss  0.872785, Average Loss  0.870552, Time  0.237950
2021-09-11 07:13:01.917034 : Epoch  4, Batch   1115, Loss  0.823970, Average Loss  0.866879, Time  0.170261
2021-09-11 07:13:02.960157 : Epoch  3, Batch    287, Loss  0.830328, Average Loss  0.870228, Time  0.239851
2021-09-11 07:13:03.505028 : Epoch  4, Batch   1116, Loss  0.870073, Average Loss  0.866724, Time  0.169888
2021-09-11 07:13:05.097757 : Epoch  4, Batch   1117, Loss  0.881578, Average Loss  0.866813, Time  0.170063
2021-09-11 07:13:06.712820 : Epoch  4, Batch   1118, Loss  0.852128, Average Loss  0.866766, Time  0.169958
2021-09-11 07:13:08.336038 : Epoch  4, Batch   1119, Loss  0.882869, Average Loss  0.866687, Time  0.170428
2021-09-11 07:13:09.941886 : Epoch  4, Batch   1120, Loss  0.875927, Average Loss  0.866583, Time  0.172229
2021-09-11 07:13:11.550763 : Epoch  4, Batch   1121, Loss  0.868770, Average Loss  0.866510, Time  0.173228
2021-09-11 07:13:13.152795 : Epoch  4, Batch   1122, Loss  0.877631, Average Loss  0.866313, Time  0.173238
2021-09-11 07:13:14.764030 : Epoch  4, Batch   1123, Loss  0.864778, Average Loss  0.866253, Time  0.173176
2021-09-11 07:13:16.385077 : Epoch  4, Batch   1124, Loss  0.855815, Average Loss  0.866325, Time  0.190141
2021-09-11 07:13:16.699892 : Epoch  3, Batch    288, Loss  0.840307, Average Loss  0.870091, Time  0.276325
2021-09-11 07:13:17.973883 : Epoch  4, Batch   1125, Loss  0.887325, Average Loss  0.866508, Time  0.171368
2021-09-11 07:13:19.597801 : Epoch  4, Batch   1126, Loss  0.839479, Average Loss  0.866433, Time  0.187217
2021-09-11 07:13:21.204791 : Epoch  4, Batch   1127, Loss  0.879032, Average Loss  0.866481, Time  0.170430
2021-09-11 07:13:22.803034 : Epoch  4, Batch   1128, Loss  0.854862, Average Loss  0.866375, Time  0.172530
2021-09-11 07:13:24.423021 : Epoch  4, Batch   1129, Loss  0.852235, Average Loss  0.866284, Time  0.178070
2021-09-11 07:13:25.987823 : Epoch  4, Batch   1130, Loss  0.894662, Average Loss  0.866374, Time  0.171946
2021-09-11 07:13:27.595942 : Epoch  4, Batch   1131, Loss  0.870421, Average Loss  0.866286, Time  0.177404
2021-09-11 07:13:29.178767 : Epoch  4, Batch   1132, Loss  0.883222, Average Loss  0.866532, Time  0.169717
2021-09-11 07:13:30.798750 : Epoch  4, Batch   1133, Loss  0.862007, Average Loss  0.866428, Time  0.172092
2021-09-11 07:13:32.413030 : Epoch  4, Batch   1134, Loss  0.856845, Average Loss  0.866247, Time  0.183146
2021-09-11 07:13:34.001029 : Epoch  4, Batch   1135, Loss  0.867156, Average Loss  0.866265, Time  0.170748
2021-09-11 07:13:35.617805 : Epoch  4, Batch   1136, Loss  0.851890, Average Loss  0.866289, Time  0.174051
2021-09-11 07:13:37.222016 : Epoch  4, Batch   1137, Loss  0.868540, Average Loss  0.866307, Time  0.172919
2021-09-11 07:13:38.820859 : Epoch  4, Batch   1138, Loss  0.855510, Average Loss  0.866218, Time  0.170199
2021-09-11 07:13:40.403041 : Epoch  4, Batch   1139, Loss  0.887167, Average Loss  0.866440, Time  0.169931
2021-09-11 07:13:42.020029 : Epoch  4, Batch   1140, Loss  0.847641, Average Loss  0.866347, Time  0.172976
2021-09-11 07:13:43.610739 : Epoch  4, Batch   1141, Loss  0.890395, Average Loss  0.866535, Time  0.171742
2021-09-11 07:13:45.218034 : Epoch  4, Batch   1142, Loss  0.856509, Average Loss  0.866580, Time  0.172112
2021-09-11 07:13:46.917790 : Epoch  4, Batch   1143, Loss  0.865718, Average Loss  0.866482, Time  0.173134
2021-09-11 07:13:48.546843 : Epoch  4, Batch   1144, Loss  0.877689, Average Loss  0.866504, Time  0.169590
2021-09-11 07:13:50.147015 : Epoch  4, Batch   1145, Loss  0.872304, Average Loss  0.866595, Time  0.177703
2021-09-11 07:13:51.759807 : Epoch  4, Batch   1146, Loss  0.850778, Average Loss  0.866436, Time  0.169781
2021-09-11 07:13:53.364000 : Epoch  4, Batch   1147, Loss  0.877878, Average Loss  0.866492, Time  0.169547
2021-09-11 07:13:54.968762 : Epoch  4, Batch   1148, Loss  0.856134, Average Loss  0.866545, Time  0.169702
2021-09-11 07:13:56.577987 : Epoch  4, Batch   1149, Loss  0.850497, Average Loss  0.866404, Time  0.170088
2021-09-11 07:13:58.193822 : Epoch  4, Batch   1150, Loss  0.868290, Average Loss  0.866566, Time  0.169210
2021-09-11 07:13:59.791818 : Epoch  4, Batch   1151, Loss  0.866843, Average Loss  0.866604, Time  0.169545
2021-09-11 07:14:01.395772 : Epoch  4, Batch   1152, Loss  0.874260, Average Loss  0.866584, Time  0.170022
2021-09-11 07:14:03.019780 : Epoch  4, Batch   1153, Loss  0.835438, Average Loss  0.866580, Time  0.169723
2021-09-11 07:14:04.636797 : Epoch  4, Batch   1154, Loss  0.874270, Average Loss  0.866579, Time  0.169935
2021-09-11 07:14:06.281797 : Epoch  4, Batch   1155, Loss  0.864316, Average Loss  0.866466, Time  0.169682
2021-09-11 07:14:07.874743 : Epoch  4, Batch   1156, Loss  0.859936, Average Loss  0.866483, Time  0.169682
2021-09-11 07:14:09.474889 : Epoch  4, Batch   1157, Loss  0.882001, Average Loss  0.866604, Time  0.169718
2021-09-11 07:14:11.098005 : Epoch  4, Batch   1158, Loss  0.851413, Average Loss  0.866560, Time  0.170292
2021-09-11 07:14:12.719805 : Epoch  4, Batch   1159, Loss  0.898288, Average Loss  0.866805, Time  0.170027
2021-09-11 07:14:14.334773 : Epoch  4, Batch   1160, Loss  0.839837, Average Loss  0.866507, Time  0.172058
2021-09-11 07:14:15.951999 : Epoch  4, Batch   1161, Loss  0.857917, Average Loss  0.866312, Time  0.170225
2021-09-11 07:14:17.563887 : Epoch  4, Batch   1162, Loss  0.863539, Average Loss  0.866262, Time  0.170443
2021-09-11 07:14:19.181754 : Epoch  4, Batch   1163, Loss  0.849916, Average Loss  0.866093, Time  0.169627
2021-09-11 07:14:20.809814 : Epoch  4, Batch   1164, Loss  0.830288, Average Loss  0.865645, Time  0.170353
2021-09-11 07:14:22.411765 : Epoch  4, Batch   1165, Loss  0.861302, Average Loss  0.865563, Time  0.169530
2021-09-11 07:14:24.039774 : Epoch  4, Batch   1166, Loss  0.852046, Average Loss  0.865449, Time  0.169845
2021-09-11 07:14:25.645919 : Epoch  4, Batch   1167, Loss  0.856243, Average Loss  0.865387, Time  0.169898
2021-09-11 07:17:25.610793 : CheckPoint: Validation Loss  0.00030773, Best Loss  0.00029375
2021-09-11 07:17:28.224910 : Epoch  3, Batch    289, Loss  0.883592, Average Loss  0.870094, Time  0.244101
2021-09-11 07:17:30.820754 : Epoch  3, Batch    290, Loss  0.865407, Average Loss  0.869972, Time  0.242297
2021-09-11 07:17:33.407983 : Epoch  3, Batch    291, Loss  0.877578, Average Loss  0.869970, Time  0.237865
2021-09-11 07:17:36.018973 : Epoch  3, Batch    292, Loss  0.885845, Average Loss  0.870088, Time  0.239580
2021-09-11 07:17:38.642780 : Epoch  3, Batch    293, Loss  0.876939, Average Loss  0.870043, Time  0.242151
2021-09-11 07:17:41.255444 : Epoch  3, Batch    294, Loss  0.879784, Average Loss  0.870055, Time  0.244008
2021-09-11 07:17:43.858806 : Epoch  3, Batch    295, Loss  0.867493, Average Loss  0.870009, Time  0.240431
2021-09-11 07:17:46.459839 : Epoch  3, Batch    296, Loss  0.890985, Average Loss  0.870088, Time  0.239966
2021-09-11 07:17:49.067901 : Epoch  3, Batch    297, Loss  0.874346, Average Loss  0.870146, Time  0.244559
2021-09-11 07:17:51.683775 : Epoch  3, Batch    298, Loss  0.869126, Average Loss  0.870166, Time  0.241194
2021-09-11 07:17:54.281045 : Epoch  3, Batch    299, Loss  0.876556, Average Loss  0.870209, Time  0.241230
2021-09-11 07:17:56.886360 : Epoch  3, Batch    300, Loss  0.878214, Average Loss  0.870266, Time  0.242865
2021-09-11 07:17:59.485064 : Epoch  3, Batch    301, Loss  0.874052, Average Loss  0.870332, Time  0.239783
2021-09-11 07:18:02.094288 : Epoch  3, Batch    302, Loss  0.855207, Average Loss  0.870267, Time  0.239230
2021-09-11 07:18:04.708358 : Epoch  3, Batch    303, Loss  0.885716, Average Loss  0.870462, Time  0.246588
2021-09-11 07:18:07.306313 : Epoch  3, Batch    304, Loss  0.888083, Average Loss  0.870569, Time  0.240616
2021-09-11 07:18:09.927345 : Epoch  3, Batch    305, Loss  0.872806, Average Loss  0.870454, Time  0.240385
2021-09-11 07:18:12.537912 : Epoch  3, Batch    306, Loss  0.879635, Average Loss  0.870586, Time  0.238859
2021-09-11 07:18:15.157912 : Epoch  3, Batch    307, Loss  0.877907, Average Loss  0.870682, Time  0.243496
2021-09-11 07:18:17.763306 : Epoch  3, Batch    308, Loss  0.878955, Average Loss  0.870813, Time  0.239450
2021-09-11 07:18:20.392366 : Epoch  3, Batch    309, Loss  0.872693, Average Loss  0.870747, Time  0.241019
2021-09-11 07:18:22.995840 : Epoch  3, Batch    310, Loss  0.853139, Average Loss  0.870802, Time  0.238576
2021-09-11 07:18:25.600717 : Epoch  3, Batch    311, Loss  0.853496, Average Loss  0.870751, Time  0.237441
2021-09-11 07:18:28.211003 : Epoch  3, Batch    312, Loss  0.854103, Average Loss  0.870669, Time  0.246899
2021-09-11 07:18:30.818002 : Epoch  3, Batch    313, Loss  0.862426, Average Loss  0.870557, Time  0.241275
2021-09-11 07:18:33.421925 : Epoch  3, Batch    314, Loss  0.863678, Average Loss  0.870567, Time  0.239766
2021-09-11 07:18:36.025439 : Epoch  3, Batch    315, Loss  0.871233, Average Loss  0.870558, Time  0.243462
2021-09-11 07:18:38.657765 : Epoch  3, Batch    316, Loss  0.879066, Average Loss  0.870650, Time  0.242213
2021-09-11 07:18:41.294872 : Epoch  3, Batch    317, Loss  0.847561, Average Loss  0.870588, Time  0.244733
2021-09-11 07:18:43.900314 : Epoch  3, Batch    318, Loss  0.867159, Average Loss  0.870560, Time  0.241682
2021-09-11 07:18:46.506294 : Epoch  3, Batch    319, Loss  0.870291, Average Loss  0.870607, Time  0.241776
2021-09-11 07:18:49.100729 : Epoch  3, Batch    320, Loss  0.889858, Average Loss  0.870731, Time  0.241928
2021-09-11 07:18:51.708359 : Epoch  3, Batch    321, Loss  0.887011, Average Loss  0.870704, Time  0.241323
2021-09-11 07:18:54.299775 : Epoch  3, Batch    322, Loss  0.875690, Average Loss  0.870684, Time  0.243028
2021-09-11 07:18:56.891778 : Epoch  3, Batch    323, Loss  0.883028, Average Loss  0.870774, Time  0.239610
2021-09-11 07:18:59.498185 : Epoch  3, Batch    324, Loss  0.863728, Average Loss  0.870676, Time  0.239729
2021-09-11 07:19:02.103856 : Epoch  3, Batch    325, Loss  0.884513, Average Loss  0.870806, Time  0.240946
2021-09-11 07:19:04.700302 : Epoch  3, Batch    326, Loss  0.894036, Average Loss  0.870951, Time  0.240250
2021-09-11 07:19:05.744105 : CheckPoint: Validation Loss  0.00061785, Best Loss  0.00057296
2021-09-11 07:19:07.296743 : Epoch  3, Batch    327, Loss  0.867167, Average Loss  0.870869, Time  0.240704
2021-09-11 07:19:07.361855 : Epoch  4, Batch   1168, Loss  0.883407, Average Loss  0.865485, Time  0.175045
2021-09-11 07:19:08.984890 : Epoch  4, Batch   1169, Loss  0.859873, Average Loss  0.865227, Time  0.171093
2021-09-11 07:19:09.890864 : Epoch  3, Batch    328, Loss  0.859480, Average Loss  0.870834, Time  0.240015
2021-09-11 07:19:10.602759 : Epoch  4, Batch   1170, Loss  0.877447, Average Loss  0.865146, Time  0.170262
2021-09-11 07:19:12.212830 : Epoch  4, Batch   1171, Loss  0.859646, Average Loss  0.865100, Time  0.170523
2021-09-11 07:19:12.487821 : Epoch  3, Batch    329, Loss  0.880407, Average Loss  0.870908, Time  0.240667
2021-09-11 07:19:13.812865 : Epoch  4, Batch   1172, Loss  0.868883, Average Loss  0.865128, Time  0.169961
2021-09-11 07:19:15.098292 : Epoch  3, Batch    330, Loss  0.864573, Average Loss  0.870875, Time  0.239057
2021-09-11 07:19:15.417749 : Epoch  4, Batch   1173, Loss  0.882036, Average Loss  0.865305, Time  0.170401
2021-09-11 07:19:17.044022 : Epoch  4, Batch   1174, Loss  0.902007, Average Loss  0.865451, Time  0.170130
2021-09-11 07:19:17.687291 : Epoch  3, Batch    331, Loss  0.874636, Average Loss  0.870847, Time  0.241174
2021-09-11 07:19:18.645020 : Epoch  4, Batch   1175, Loss  0.874503, Average Loss  0.865564, Time  0.170029
2021-09-11 07:19:20.241775 : Epoch  4, Batch   1176, Loss  0.879216, Average Loss  0.865556, Time  0.169749
2021-09-11 07:19:20.292116 : Epoch  3, Batch    332, Loss  0.855635, Average Loss  0.870782, Time  0.238937
2021-09-11 07:19:21.860021 : Epoch  4, Batch   1177, Loss  0.894477, Average Loss  0.865586, Time  0.172661
2021-09-11 07:19:22.927901 : Epoch  3, Batch    333, Loss  0.862294, Average Loss  0.870716, Time  0.241121
2021-09-11 07:19:23.474017 : Epoch  4, Batch   1178, Loss  0.844623, Average Loss  0.865602, Time  0.170000
2021-09-11 07:19:25.075762 : Epoch  4, Batch   1179, Loss  0.888575, Average Loss  0.865769, Time  0.170304
2021-09-11 07:19:25.535735 : Epoch  3, Batch    334, Loss  0.893116, Average Loss  0.870885, Time  0.238936
2021-09-11 07:19:26.676026 : Epoch  4, Batch   1180, Loss  0.897961, Average Loss  0.865947, Time  0.170203
2021-09-11 07:19:28.142406 : Epoch  3, Batch    335, Loss  0.857021, Average Loss  0.870962, Time  0.239213
2021-09-11 07:19:28.289036 : Epoch  4, Batch   1181, Loss  0.848983, Average Loss  0.865874, Time  0.176817
2021-09-11 07:19:29.902028 : Epoch  4, Batch   1182, Loss  0.883230, Average Loss  0.866003, Time  0.174480
2021-09-11 07:19:30.755770 : Epoch  3, Batch    336, Loss  0.878493, Average Loss  0.871051, Time  0.239289
2021-09-11 07:19:31.517759 : Epoch  4, Batch   1183, Loss  0.876177, Average Loss  0.866012, Time  0.170251
2021-09-11 07:19:33.128869 : Epoch  4, Batch   1184, Loss  0.893784, Average Loss  0.866164, Time  0.180367
2021-09-11 07:19:33.354319 : Epoch  3, Batch    337, Loss  0.848772, Average Loss  0.870942, Time  0.244407
2021-09-11 07:19:34.736036 : Epoch  4, Batch   1185, Loss  0.839958, Average Loss  0.865950, Time  0.172102
2021-09-11 07:19:35.959985 : Epoch  3, Batch    338, Loss  0.876785, Average Loss  0.870911, Time  0.239800
2021-09-11 07:19:36.341031 : Epoch  4, Batch   1186, Loss  0.865876, Average Loss  0.866057, Time  0.174637
2021-09-11 07:19:37.954916 : Epoch  4, Batch   1187, Loss  0.904620, Average Loss  0.866313, Time  0.170980
2021-09-11 07:19:38.618926 : Epoch  3, Batch    339, Loss  0.883397, Average Loss  0.870924, Time  0.240688
2021-09-11 07:19:39.569762 : Epoch  4, Batch   1188, Loss  0.856042, Average Loss  0.866259, Time  0.176919
2021-09-11 07:19:41.164785 : Epoch  4, Batch   1189, Loss  0.897736, Average Loss  0.866350, Time  0.170207
2021-09-11 07:19:41.246881 : Epoch  3, Batch    340, Loss  0.855804, Average Loss  0.870902, Time  0.241163
2021-09-11 07:19:42.751030 : Epoch  4, Batch   1190, Loss  0.915554, Average Loss  0.866567, Time  0.171950
2021-09-11 07:19:43.881391 : Epoch  3, Batch    341, Loss  0.857007, Average Loss  0.870841, Time  0.240464
2021-09-11 07:19:44.353740 : Epoch  4, Batch   1191, Loss  0.844495, Average Loss  0.866411, Time  0.177376
2021-09-11 07:19:45.946034 : Epoch  4, Batch   1192, Loss  0.889246, Average Loss  0.866438, Time  0.174801
2021-09-11 07:19:46.485010 : Epoch  3, Batch    342, Loss  0.877716, Average Loss  0.870911, Time  0.240186
2021-09-11 07:19:47.546028 : Epoch  4, Batch   1193, Loss  0.848274, Average Loss  0.866346, Time  0.171557
2021-09-11 07:19:49.101926 : Epoch  3, Batch    343, Loss  0.868261, Average Loss  0.870779, Time  0.243106
2021-09-11 07:19:49.135035 : Epoch  4, Batch   1194, Loss  0.855966, Average Loss  0.866227, Time  0.170443
2021-09-11 07:19:50.717827 : Epoch  4, Batch   1195, Loss  0.887298, Average Loss  0.866396, Time  0.174750
2021-09-11 07:19:51.711301 : Epoch  3, Batch    344, Loss  0.854470, Average Loss  0.870757, Time  0.243448
2021-09-11 07:19:52.316747 : Epoch  4, Batch   1196, Loss  0.877056, Average Loss  0.866344, Time  0.179104
2021-09-11 07:19:53.935756 : Epoch  4, Batch   1197, Loss  0.871787, Average Loss  0.866358, Time  0.173375
2021-09-11 07:19:54.322972 : Epoch  3, Batch    345, Loss  0.858530, Average Loss  0.870768, Time  0.245173
2021-09-11 07:19:55.531740 : Epoch  4, Batch   1198, Loss  0.882330, Average Loss  0.866449, Time  0.169932
2021-09-11 07:19:56.924388 : Epoch  3, Batch    346, Loss  0.873392, Average Loss  0.870691, Time  0.241697
2021-09-11 07:19:57.153854 : Epoch  4, Batch   1199, Loss  0.865823, Average Loss  0.866440, Time  0.179218
2021-09-11 07:19:58.739810 : Epoch  4, Batch   1200, Loss  0.867447, Average Loss  0.866460, Time  0.176651
2021-09-11 07:19:59.548267 : Epoch  3, Batch    347, Loss  0.858565, Average Loss  0.870786, Time  0.239672
2021-09-11 07:20:00.357784 : Epoch  4, Batch   1201, Loss  0.858139, Average Loss  0.866454, Time  0.174554
2021-09-11 07:20:01.974034 : Epoch  4, Batch   1202, Loss  0.886478, Average Loss  0.866435, Time  0.174309
2021-09-11 07:20:02.169186 : Epoch  3, Batch    348, Loss  0.874199, Average Loss  0.870779, Time  0.248923
2021-09-11 07:20:03.586917 : Epoch  4, Batch   1203, Loss  0.879476, Average Loss  0.866316, Time  0.170515
2021-09-11 07:20:04.788735 : Epoch  3, Batch    349, Loss  0.899803, Average Loss  0.870909, Time  0.243619
2021-09-11 07:20:05.182033 : Epoch  4, Batch   1204, Loss  0.861915, Average Loss  0.866389, Time  0.175357
2021-09-11 07:20:06.836009 : Epoch  4, Batch   1205, Loss  0.823748, Average Loss  0.866249, Time  0.190881
2021-09-11 07:20:07.392813 : Epoch  3, Batch    350, Loss  0.867161, Average Loss  0.870939, Time  0.241039
2021-09-11 07:20:08.457029 : Epoch  4, Batch   1206, Loss  0.878929, Average Loss  0.866368, Time  0.170727
2021-09-11 07:20:10.006831 : Epoch  3, Batch    351, Loss  0.869636, Average Loss  0.870955, Time  0.241988
2021-09-11 07:20:10.059936 : Epoch  4, Batch   1207, Loss  0.840080, Average Loss  0.866294, Time  0.169924
2021-09-11 07:20:11.653527 : Epoch  4, Batch   1208, Loss  0.858876, Average Loss  0.866254, Time  0.170177
2021-09-11 07:20:12.614992 : Epoch  3, Batch    352, Loss  0.871197, Average Loss  0.870871, Time  0.238790
2021-09-11 07:20:13.228891 : Epoch  4, Batch   1209, Loss  0.853829, Average Loss  0.866221, Time  0.172479
2021-09-11 07:20:14.841035 : Epoch  4, Batch   1210, Loss  0.859166, Average Loss  0.866322, Time  0.176697
2021-09-11 07:20:15.219284 : Epoch  3, Batch    353, Loss  0.858733, Average Loss  0.870801, Time  0.238910
2021-09-11 07:20:16.467792 : Epoch  4, Batch   1211, Loss  0.875498, Average Loss  0.866474, Time  0.181289
2021-09-11 07:20:17.830977 : Epoch  3, Batch    354, Loss  0.850485, Average Loss  0.870705, Time  0.244755
2021-09-11 07:20:18.086804 : Epoch  4, Batch   1212, Loss  0.848802, Average Loss  0.866466, Time  0.174909
2021-09-11 07:20:19.692794 : Epoch  4, Batch   1213, Loss  0.893957, Average Loss  0.866728, Time  0.182290
2021-09-11 07:20:20.434871 : Epoch  3, Batch    355, Loss  0.879724, Average Loss  0.870647, Time  0.241999
2021-09-11 07:20:21.326824 : Epoch  4, Batch   1214, Loss  0.858130, Average Loss  0.866635, Time  0.169896
2021-09-11 07:20:22.953743 : Epoch  4, Batch   1215, Loss  0.882100, Average Loss  0.866691, Time  0.179953
2021-09-11 07:20:23.060398 : Epoch  3, Batch    356, Loss  0.873723, Average Loss  0.870671, Time  0.242439
2021-09-11 07:20:24.564027 : Epoch  4, Batch   1216, Loss  0.885864, Average Loss  0.866827, Time  0.175935
2021-09-11 07:20:25.669319 : Epoch  3, Batch    357, Loss  0.864222, Average Loss  0.870678, Time  0.243538
2021-09-11 07:20:26.174029 : Epoch  4, Batch   1217, Loss  0.874851, Average Loss  0.866842, Time  0.174135
2021-09-11 07:20:27.787031 : Epoch  4, Batch   1218, Loss  0.878838, Average Loss  0.867035, Time  0.179645
2021-09-11 07:20:28.264728 : Epoch  3, Batch    358, Loss  0.874613, Average Loss  0.870658, Time  0.239582
2021-09-11 07:20:29.395030 : Epoch  4, Batch   1219, Loss  0.866320, Average Loss  0.867122, Time  0.175679
2021-09-11 07:20:30.854808 : Epoch  3, Batch    359, Loss  0.889172, Average Loss  0.870832, Time  0.241778
2021-09-11 07:20:31.024773 : Epoch  4, Batch   1220, Loss  0.860697, Average Loss  0.867034, Time  0.178131
2021-09-11 07:20:32.624835 : Epoch  4, Batch   1221, Loss  0.887912, Average Loss  0.867188, Time  0.180281
2021-09-11 07:20:33.464411 : Epoch  3, Batch    360, Loss  0.865140, Average Loss  0.870758, Time  0.241858
2021-09-11 07:20:34.214741 : Epoch  4, Batch   1222, Loss  0.858804, Average Loss  0.867033, Time  0.179509
2021-09-11 07:20:35.814027 : Epoch  4, Batch   1223, Loss  0.867621, Average Loss  0.867047, Time  0.177012
2021-09-11 07:20:36.071801 : Epoch  3, Batch    361, Loss  0.890808, Average Loss  0.870813, Time  0.240767
2021-09-11 07:20:37.422883 : Epoch  4, Batch   1224, Loss  0.881958, Average Loss  0.867154, Time  0.173255
2021-09-11 07:20:38.683017 : Epoch  3, Batch    362, Loss  0.853768, Average Loss  0.870826, Time  0.241824
2021-09-11 07:20:39.042745 : Epoch  4, Batch   1225, Loss  0.881370, Average Loss  0.867227, Time  0.171927
2021-09-11 07:20:40.636028 : Epoch  4, Batch   1226, Loss  0.856488, Average Loss  0.867159, Time  0.170751
2021-09-11 07:20:41.281226 : Epoch  3, Batch    363, Loss  0.884651, Average Loss  0.871066, Time  0.239358
2021-09-11 07:20:42.248027 : Epoch  4, Batch   1227, Loss  0.869253, Average Loss  0.867160, Time  0.172158
2021-09-11 07:20:43.829821 : Epoch  4, Batch   1228, Loss  0.885919, Average Loss  0.867260, Time  0.171583
2021-09-11 07:20:43.889025 : Epoch  3, Batch    364, Loss  0.889722, Average Loss  0.871162, Time  0.242929
2021-09-11 07:20:45.439744 : Epoch  4, Batch   1229, Loss  0.841509, Average Loss  0.867241, Time  0.169963
2021-09-11 07:20:46.547967 : Epoch  3, Batch    365, Loss  0.843579, Average Loss  0.870940, Time  0.243078
2021-09-11 07:20:47.058849 : Epoch  4, Batch   1230, Loss  0.887963, Average Loss  0.867187, Time  0.175321
2021-09-11 07:20:48.659865 : Epoch  4, Batch   1231, Loss  0.873404, Average Loss  0.867290, Time  0.170859
2021-09-11 07:20:49.169367 : Epoch  3, Batch    366, Loss  0.886920, Average Loss  0.870996, Time  0.239353
2021-09-11 07:20:50.248749 : Epoch  4, Batch   1232, Loss  0.874226, Average Loss  0.867237, Time  0.169916
2021-09-11 07:20:51.782090 : Epoch  3, Batch    367, Loss  0.874293, Average Loss  0.870997, Time  0.239434
2021-09-11 07:20:51.840755 : Epoch  4, Batch   1233, Loss  0.881547, Average Loss  0.867301, Time  0.170359
2021-09-11 07:20:53.453796 : Epoch  4, Batch   1234, Loss  0.848338, Average Loss  0.867340, Time  0.179285
2021-09-11 07:20:54.413215 : Epoch  3, Batch    368, Loss  0.848977, Average Loss  0.870872, Time  0.241207
2021-09-11 07:20:55.086820 : Epoch  4, Batch   1235, Loss  0.861489, Average Loss  0.867329, Time  0.174402
2021-09-11 07:20:56.677035 : Epoch  4, Batch   1236, Loss  0.867287, Average Loss  0.867328, Time  0.170115
2021-09-11 07:20:57.024366 : Epoch  3, Batch    369, Loss  0.881489, Average Loss  0.870947, Time  0.242565
2021-09-11 07:20:58.295788 : Epoch  4, Batch   1237, Loss  0.879176, Average Loss  0.867445, Time  0.186184
2021-09-11 07:20:59.618995 : Epoch  3, Batch    370, Loss  0.864675, Average Loss  0.870984, Time  0.239872
2021-09-11 07:20:59.933033 : Epoch  4, Batch   1238, Loss  0.866835, Average Loss  0.867354, Time  0.177835
2021-09-11 07:21:01.525751 : Epoch  4, Batch   1239, Loss  0.880382, Average Loss  0.867473, Time  0.178757
2021-09-11 07:21:02.210769 : Epoch  3, Batch    371, Loss  0.871412, Average Loss  0.870987, Time  0.239913
2021-09-11 07:21:03.110851 : Epoch  4, Batch   1240, Loss  0.837366, Average Loss  0.867424, Time  0.173569
2021-09-11 07:21:04.709776 : Epoch  4, Batch   1241, Loss  0.898267, Average Loss  0.867547, Time  0.176986
2021-09-11 07:21:04.811085 : Epoch  3, Batch    372, Loss  0.849935, Average Loss  0.870901, Time  0.241840
2021-09-11 07:21:06.306064 : Epoch  4, Batch   1242, Loss  0.812550, Average Loss  0.867308, Time  0.170347
2021-09-11 07:21:07.439004 : Epoch  3, Batch    373, Loss  0.881575, Average Loss  0.870948, Time  0.243492
2021-09-11 07:21:07.937758 : Epoch  4, Batch   1243, Loss  0.865575, Average Loss  0.867489, Time  0.173720
2021-09-11 07:21:09.531378 : Epoch  4, Batch   1244, Loss  0.868471, Average Loss  0.867570, Time  0.169931
2021-09-11 07:21:10.064070 : Epoch  3, Batch    374, Loss  0.871720, Average Loss  0.871041, Time  0.243622
2021-09-11 07:21:11.134029 : Epoch  4, Batch   1245, Loss  0.878904, Average Loss  0.867517, Time  0.169945
2021-09-11 07:21:12.672767 : Epoch  3, Batch    375, Loss  0.882495, Average Loss  0.870978, Time  0.240728
2021-09-11 07:21:12.725809 : Epoch  4, Batch   1246, Loss  0.866640, Average Loss  0.867465, Time  0.174611
2021-09-11 07:21:14.343822 : Epoch  4, Batch   1247, Loss  0.880482, Average Loss  0.867591, Time  0.171813
2021-09-11 07:21:15.285825 : Epoch  3, Batch    376, Loss  0.870839, Average Loss  0.871012, Time  0.243794
2021-09-11 07:21:15.947760 : Epoch  4, Batch   1248, Loss  0.874461, Average Loss  0.867506, Time  0.170290
2021-09-11 07:21:17.562818 : Epoch  4, Batch   1249, Loss  0.871173, Average Loss  0.867567, Time  0.173059
2021-09-11 07:21:17.887822 : Epoch  3, Batch    377, Loss  0.868678, Average Loss  0.870976, Time  0.243217
2021-09-11 07:21:19.174751 : Epoch  4, Batch   1250, Loss  0.822020, Average Loss  0.867282, Time  0.174988
2021-09-11 07:21:20.485401 : Epoch  3, Batch    378, Loss  0.877534, Average Loss  0.871080, Time  0.238858
2021-09-11 07:21:20.772037 : Epoch  4, Batch   1251, Loss  0.897188, Average Loss  0.867702, Time  0.173871
2021-09-11 07:21:22.366761 : Epoch  4, Batch   1252, Loss  0.836826, Average Loss  0.867507, Time  0.177035
2021-09-11 07:21:23.084937 : Epoch  3, Batch    379, Loss  0.856923, Average Loss  0.870987, Time  0.237412
2021-09-11 07:21:23.966858 : Epoch  4, Batch   1253, Loss  0.896087, Average Loss  0.867579, Time  0.172959
2021-09-11 07:21:25.575745 : Epoch  4, Batch   1254, Loss  0.857819, Average Loss  0.867526, Time  0.191900
2021-09-11 07:21:25.707381 : Epoch  3, Batch    380, Loss  0.868236, Average Loss  0.870919, Time  0.241248
2021-09-11 07:21:27.172771 : Epoch  4, Batch   1255, Loss  0.882883, Average Loss  0.867662, Time  0.173877
2021-09-11 07:21:28.316843 : Epoch  3, Batch    381, Loss  0.869663, Average Loss  0.870863, Time  0.243470
2021-09-11 07:21:28.765764 : Epoch  4, Batch   1256, Loss  0.858001, Average Loss  0.867553, Time  0.169763
2021-09-11 07:21:30.371882 : Epoch  4, Batch   1257, Loss  0.858356, Average Loss  0.867494, Time  0.183921
2021-09-11 07:21:30.916716 : Epoch  3, Batch    382, Loss  0.863368, Average Loss  0.870767, Time  0.242559
2021-09-11 07:21:31.947807 : Epoch  4, Batch   1258, Loss  0.861422, Average Loss  0.867632, Time  0.173644
2021-09-11 07:21:33.509952 : Epoch  3, Batch    383, Loss  0.866209, Average Loss  0.870638, Time  0.243119
2021-09-11 07:21:33.527772 : Epoch  4, Batch   1259, Loss  0.875342, Average Loss  0.867675, Time  0.171984
2021-09-11 07:21:35.141030 : Epoch  4, Batch   1260, Loss  0.834460, Average Loss  0.867458, Time  0.170579
2021-09-11 07:21:36.098752 : Epoch  3, Batch    384, Loss  0.864542, Average Loss  0.870656, Time  0.239090
2021-09-11 07:21:36.718794 : Epoch  4, Batch   1261, Loss  0.883080, Average Loss  0.867614, Time  0.171973
2021-09-11 07:21:38.295882 : Epoch  4, Batch   1262, Loss  0.838320, Average Loss  0.867597, Time  0.170847
2021-09-11 07:21:38.703905 : Epoch  3, Batch    385, Loss  0.865791, Average Loss  0.870517, Time  0.242108
2021-09-11 07:21:39.901828 : Epoch  4, Batch   1263, Loss  0.870327, Average Loss  0.867619, Time  0.170377
2021-09-11 07:21:41.317026 : Epoch  3, Batch    386, Loss  0.890842, Average Loss  0.870665, Time  0.246449
2021-09-11 07:21:41.498014 : Epoch  4, Batch   1264, Loss  0.860915, Average Loss  0.867554, Time  0.183284
2021-09-11 07:21:43.091035 : Epoch  4, Batch   1265, Loss  0.882473, Average Loss  0.867765, Time  0.170017
2021-09-11 07:21:43.906782 : Epoch  3, Batch    387, Loss  0.881647, Average Loss  0.870771, Time  0.238251
2021-09-11 07:21:44.679942 : Epoch  4, Batch   1266, Loss  0.897118, Average Loss  0.867804, Time  0.169747
2021-09-11 07:21:46.265033 : Epoch  4, Batch   1267, Loss  0.839739, Average Loss  0.867685, Time  0.169538
2021-09-11 07:21:46.524040 : Epoch  3, Batch    388, Loss  0.866281, Average Loss  0.870751, Time  0.240209
2021-09-11 07:25:52.455705 : CheckPoint: Validation Loss  0.00030209, Best Loss  0.00029375
2021-09-11 07:25:55.055030 : Epoch  3, Batch    389, Loss  0.889600, Average Loss  0.870831, Time  0.242708
2021-09-11 07:25:57.653910 : Epoch  3, Batch    390, Loss  0.869956, Average Loss  0.870830, Time  0.240563
2021-09-11 07:26:00.242303 : Epoch  3, Batch    391, Loss  0.862545, Average Loss  0.870786, Time  0.240843
2021-09-11 07:26:02.834340 : Epoch  3, Batch    392, Loss  0.855324, Average Loss  0.870730, Time  0.241945
2021-09-11 07:26:05.418302 : Epoch  3, Batch    393, Loss  0.880195, Average Loss  0.870794, Time  0.239608
2021-09-11 07:26:08.000088 : Epoch  3, Batch    394, Loss  0.884233, Average Loss  0.870778, Time  0.239514
2021-09-11 07:26:10.593301 : Epoch  3, Batch    395, Loss  0.899593, Average Loss  0.870886, Time  0.242462
2021-09-11 07:26:13.180387 : Epoch  3, Batch    396, Loss  0.863808, Average Loss  0.870835, Time  0.241602
2021-09-11 07:26:15.757807 : Epoch  3, Batch    397, Loss  0.888801, Average Loss  0.870967, Time  0.242278
2021-09-11 07:26:18.337355 : Epoch  3, Batch    398, Loss  0.846728, Average Loss  0.870841, Time  0.241593
2021-09-11 07:26:20.907335 : Epoch  3, Batch    399, Loss  0.878545, Average Loss  0.870826, Time  0.239543
2021-09-11 07:26:23.503303 : Epoch  3, Batch    400, Loss  0.851036, Average Loss  0.870719, Time  0.241377
2021-09-11 07:26:26.084814 : Epoch  3, Batch    401, Loss  0.872646, Average Loss  0.870661, Time  0.243632
2021-09-11 07:26:26.390012 : CheckPoint: Validation Loss  0.00062489, Best Loss  0.00057296
2021-09-11 07:26:28.013948 : Epoch  4, Batch   1268, Loss  0.880039, Average Loss  0.867593, Time  0.176379
2021-09-11 07:26:28.667931 : Epoch  3, Batch    402, Loss  0.871902, Average Loss  0.870754, Time  0.239664
2021-09-11 07:26:29.612740 : Epoch  4, Batch   1269, Loss  0.854785, Average Loss  0.867432, Time  0.170832
2021-09-11 07:26:31.223870 : Epoch  4, Batch   1270, Loss  0.874950, Average Loss  0.867481, Time  0.175297
2021-09-11 07:26:31.244719 : Epoch  3, Batch    403, Loss  0.878585, Average Loss  0.870629, Time  0.240601
2021-09-11 07:26:32.847883 : Epoch  4, Batch   1271, Loss  0.854927, Average Loss  0.867297, Time  0.174637
2021-09-11 07:26:33.838715 : Epoch  3, Batch    404, Loss  0.863865, Average Loss  0.870650, Time  0.241947
2021-09-11 07:26:34.459763 : Epoch  4, Batch   1272, Loss  0.899355, Average Loss  0.867323, Time  0.169668
2021-09-11 07:26:36.087031 : Epoch  4, Batch   1273, Loss  0.832599, Average Loss  0.867129, Time  0.176055
2021-09-11 07:26:36.426917 : Epoch  3, Batch    405, Loss  0.888766, Average Loss  0.870780, Time  0.242665
2021-09-11 07:26:37.701017 : Epoch  4, Batch   1274, Loss  0.852489, Average Loss  0.867065, Time  0.174425
2021-09-11 07:26:39.014277 : Epoch  3, Batch    406, Loss  0.881622, Average Loss  0.870863, Time  0.240186
2021-09-11 07:26:39.299025 : Epoch  4, Batch   1275, Loss  0.851454, Average Loss  0.866915, Time  0.169924
2021-09-11 07:26:40.907023 : Epoch  4, Batch   1276, Loss  0.896801, Average Loss  0.867068, Time  0.170526
2021-09-11 07:26:41.607280 : Epoch  3, Batch    407, Loss  0.876134, Average Loss  0.870772, Time  0.242202
2021-09-11 07:26:42.501039 : Epoch  4, Batch   1277, Loss  0.861631, Average Loss  0.867115, Time  0.170034
2021-09-11 07:26:44.106025 : Epoch  4, Batch   1278, Loss  0.892486, Average Loss  0.867262, Time  0.170594
2021-09-11 07:26:44.187694 : Epoch  3, Batch    408, Loss  0.881640, Average Loss  0.870846, Time  0.237059
2021-09-11 07:26:45.715954 : Epoch  4, Batch   1279, Loss  0.902199, Average Loss  0.867388, Time  0.175581
2021-09-11 07:26:46.881379 : Epoch  3, Batch    409, Loss  0.876374, Average Loss  0.870871, Time  0.261024
2021-09-11 07:26:47.329768 : Epoch  4, Batch   1280, Loss  0.868519, Average Loss  0.867539, Time  0.170052
2021-09-11 07:26:48.930069 : Epoch  4, Batch   1281, Loss  0.868708, Average Loss  0.867557, Time  0.170763
2021-09-11 07:26:49.555348 : Epoch  3, Batch    410, Loss  0.867307, Average Loss  0.870816, Time  0.263273
2021-09-11 07:26:50.555809 : Epoch  4, Batch   1282, Loss  0.863094, Average Loss  0.867525, Time  0.176901
2021-09-11 07:26:52.181795 : Epoch  4, Batch   1283, Loss  0.877824, Average Loss  0.867471, Time  0.173889
2021-09-11 07:26:52.222806 : Epoch  3, Batch    411, Loss  0.855095, Average Loss  0.870662, Time  0.257398
2021-09-11 07:26:53.790804 : Epoch  4, Batch   1284, Loss  0.867104, Average Loss  0.867422, Time  0.169639
2021-09-11 07:26:54.886767 : Epoch  3, Batch    412, Loss  0.842989, Average Loss  0.870503, Time  0.258147
2021-09-11 07:26:55.380878 : Epoch  4, Batch   1285, Loss  0.911642, Average Loss  0.867694, Time  0.169893
2021-09-11 07:26:56.997042 : Epoch  4, Batch   1286, Loss  0.860183, Average Loss  0.867568, Time  0.177958
2021-09-11 07:26:57.572923 : Epoch  3, Batch    413, Loss  0.883529, Average Loss  0.870566, Time  0.260036
2021-09-11 07:26:58.624820 : Epoch  4, Batch   1287, Loss  0.863707, Average Loss  0.867401, Time  0.175972
2021-09-11 07:27:00.226035 : Epoch  4, Batch   1288, Loss  0.893583, Average Loss  0.867676, Time  0.169935
2021-09-11 07:27:00.240317 : Epoch  3, Batch    414, Loss  0.866235, Average Loss  0.870492, Time  0.260350
2021-09-11 07:27:01.838878 : Epoch  4, Batch   1289, Loss  0.880119, Average Loss  0.867825, Time  0.169895
2021-09-11 07:27:02.954381 : Epoch  3, Batch    415, Loss  0.868810, Average Loss  0.870523, Time  0.260641
2021-09-11 07:27:03.468810 : Epoch  4, Batch   1290, Loss  0.862264, Average Loss  0.867917, Time  0.170079
2021-09-11 07:27:05.088849 : Epoch  4, Batch   1291, Loss  0.854142, Average Loss  0.867789, Time  0.179255
2021-09-11 07:27:05.650846 : Epoch  3, Batch    416, Loss  0.869562, Average Loss  0.870618, Time  0.263644
2021-09-11 07:27:06.700029 : Epoch  4, Batch   1292, Loss  0.850255, Average Loss  0.867647, Time  0.174105
2021-09-11 07:27:08.271386 : Epoch  3, Batch    417, Loss  0.878449, Average Loss  0.870619, Time  0.239734
2021-09-11 07:27:08.301794 : Epoch  4, Batch   1293, Loss  0.849319, Average Loss  0.867655, Time  0.173881
2021-09-11 07:27:09.933034 : Epoch  4, Batch   1294, Loss  0.822461, Average Loss  0.867416, Time  0.170555
2021-09-11 07:27:10.872105 : Epoch  3, Batch    418, Loss  0.876657, Average Loss  0.870638, Time  0.242037
2021-09-11 07:27:11.561029 : Epoch  4, Batch   1295, Loss  0.857019, Average Loss  0.867361, Time  0.171276
2021-09-11 07:27:13.178783 : Epoch  4, Batch   1296, Loss  0.869722, Average Loss  0.867362, Time  0.176092
2021-09-11 07:27:13.480795 : Epoch  3, Batch    419, Loss  0.880630, Average Loss  0.870582, Time  0.241601
2021-09-11 07:27:14.798843 : Epoch  4, Batch   1297, Loss  0.875275, Average Loss  0.867460, Time  0.173324
2021-09-11 07:27:16.074047 : Epoch  3, Batch    420, Loss  0.863255, Average Loss  0.870524, Time  0.242643
2021-09-11 07:27:16.404034 : Epoch  4, Batch   1298, Loss  0.831535, Average Loss  0.867307, Time  0.170820
2021-09-11 07:27:17.999809 : Epoch  4, Batch   1299, Loss  0.864947, Average Loss  0.867262, Time  0.169855
2021-09-11 07:27:18.769409 : Epoch  3, Batch    421, Loss  0.888197, Average Loss  0.870637, Time  0.261597
2021-09-11 07:27:19.598743 : Epoch  4, Batch   1300, Loss  0.876251, Average Loss  0.867284, Time  0.169580
2021-09-11 07:27:21.197021 : Epoch  4, Batch   1301, Loss  0.870026, Average Loss  0.867306, Time  0.169879
2021-09-11 07:27:21.374833 : Epoch  3, Batch    422, Loss  0.881660, Average Loss  0.870669, Time  0.241131
2021-09-11 07:27:22.789770 : Epoch  4, Batch   1302, Loss  0.851421, Average Loss  0.867253, Time  0.169997
2021-09-11 07:27:23.957396 : Epoch  3, Batch    423, Loss  0.872040, Average Loss  0.870640, Time  0.242775
2021-09-11 07:27:24.378027 : Epoch  4, Batch   1303, Loss  0.869260, Average Loss  0.867344, Time  0.170305
2021-09-11 07:27:25.982867 : Epoch  4, Batch   1304, Loss  0.907864, Average Loss  0.867653, Time  0.169829
2021-09-11 07:27:26.552340 : Epoch  3, Batch    424, Loss  0.869045, Average Loss  0.870728, Time  0.241500
2021-09-11 07:27:27.624322 : Epoch  4, Batch   1305, Loss  0.879754, Average Loss  0.867781, Time  0.170102
2021-09-11 07:27:29.137097 : Epoch  3, Batch    425, Loss  0.852931, Average Loss  0.870698, Time  0.240230
2021-09-11 07:27:29.227776 : Epoch  4, Batch   1306, Loss  0.886668, Average Loss  0.868038, Time  0.176327
2021-09-11 07:27:30.795753 : Epoch  4, Batch   1307, Loss  0.849822, Average Loss  0.867804, Time  0.169834
2021-09-11 07:27:31.730126 : Epoch  3, Batch    426, Loss  0.886391, Average Loss  0.870762, Time  0.244987
2021-09-11 07:27:32.417866 : Epoch  4, Batch   1308, Loss  0.873444, Average Loss  0.867923, Time  0.172558
2021-09-11 07:27:34.029759 : Epoch  4, Batch   1309, Loss  0.886061, Average Loss  0.868103, Time  0.173540
2021-09-11 07:27:34.339237 : Epoch  3, Batch    427, Loss  0.862580, Average Loss  0.870689, Time  0.243561
2021-09-11 07:27:35.618785 : Epoch  4, Batch   1310, Loss  0.863141, Average Loss  0.868036, Time  0.173252
2021-09-11 07:27:36.929972 : Epoch  3, Batch    428, Loss  0.861878, Average Loss  0.870755, Time  0.243033
2021-09-11 07:27:37.231038 : Epoch  4, Batch   1311, Loss  0.858964, Average Loss  0.868014, Time  0.174008
2021-09-11 07:27:38.836781 : Epoch  4, Batch   1312, Loss  0.896487, Average Loss  0.868009, Time  0.171980
2021-09-11 07:27:39.512337 : Epoch  3, Batch    429, Loss  0.845221, Average Loss  0.870760, Time  0.240545
2021-09-11 07:27:40.459834 : Epoch  4, Batch   1313, Loss  0.852669, Average Loss  0.867928, Time  0.170405
2021-09-11 07:27:42.058029 : Epoch  4, Batch   1314, Loss  0.866944, Average Loss  0.867986, Time  0.172387
2021-09-11 07:27:42.095758 : Epoch  3, Batch    430, Loss  0.887978, Average Loss  0.870922, Time  0.241698
2021-09-11 07:27:43.649777 : Epoch  4, Batch   1315, Loss  0.856355, Average Loss  0.868148, Time  0.172893
2021-09-11 07:27:44.676764 : Epoch  3, Batch    431, Loss  0.874174, Average Loss  0.870917, Time  0.242973
2021-09-11 07:27:45.256028 : Epoch  4, Batch   1316, Loss  0.847223, Average Loss  0.868034, Time  0.171159
2021-09-11 07:27:46.825047 : Epoch  4, Batch   1317, Loss  0.854049, Average Loss  0.867896, Time  0.170574
2021-09-11 07:27:47.272799 : Epoch  3, Batch    432, Loss  0.875734, Average Loss  0.871023, Time  0.241382
2021-09-11 07:27:48.395342 : Epoch  4, Batch   1318, Loss  0.852681, Average Loss  0.867899, Time  0.169681
2021-09-11 07:27:49.835766 : Epoch  3, Batch    433, Loss  0.869715, Average Loss  0.870919, Time  0.242299
2021-09-11 07:27:49.965788 : Epoch  4, Batch   1319, Loss  0.904809, Average Loss  0.868009, Time  0.169931
2021-09-11 07:27:51.547785 : Epoch  4, Batch   1320, Loss  0.867573, Average Loss  0.867967, Time  0.170413
2021-09-11 07:27:52.504857 : Epoch  3, Batch    434, Loss  0.874320, Average Loss  0.870927, Time  0.260210
2021-09-11 07:27:53.117844 : Epoch  4, Batch   1321, Loss  0.870482, Average Loss  0.867976, Time  0.172854
2021-09-11 07:27:54.715025 : Epoch  4, Batch   1322, Loss  0.877421, Average Loss  0.867975, Time  0.176218
2021-09-11 07:27:55.192822 : Epoch  3, Batch    435, Loss  0.874990, Average Loss  0.870822, Time  0.262855
2021-09-11 07:27:56.295026 : Epoch  4, Batch   1323, Loss  0.849718, Average Loss  0.867899, Time  0.170128
2021-09-11 07:27:57.860847 : Epoch  3, Batch    436, Loss  0.882986, Average Loss  0.870873, Time  0.263010
2021-09-11 07:27:57.892767 : Epoch  4, Batch   1324, Loss  0.879606, Average Loss  0.868018, Time  0.177308
2021-09-11 07:27:59.459038 : Epoch  4, Batch   1325, Loss  0.868426, Average Loss  0.867924, Time  0.172151
2021-09-11 07:28:00.534195 : Epoch  3, Batch    437, Loss  0.862880, Average Loss  0.870699, Time  0.258937
2021-09-11 07:28:01.029115 : Epoch  4, Batch   1326, Loss  0.875220, Average Loss  0.868102, Time  0.174153
2021-09-11 07:28:02.608031 : Epoch  4, Batch   1327, Loss  0.867713, Average Loss  0.868046, Time  0.170073
2021-09-11 07:28:03.163265 : Epoch  3, Batch    438, Loss  0.869461, Average Loss  0.870747, Time  0.242592
2021-09-11 07:28:04.203776 : Epoch  4, Batch   1328, Loss  0.862016, Average Loss  0.868082, Time  0.170134
2021-09-11 07:28:05.785280 : Epoch  3, Batch    439, Loss  0.869112, Average Loss  0.870787, Time  0.242601
2021-09-11 07:28:05.813028 : Epoch  4, Batch   1329, Loss  0.882084, Average Loss  0.868231, Time  0.174631
2021-09-11 07:28:07.422030 : Epoch  4, Batch   1330, Loss  0.887067, Average Loss  0.868193, Time  0.174798
2021-09-11 07:28:08.403777 : Epoch  3, Batch    440, Loss  0.881382, Average Loss  0.870891, Time  0.239560
2021-09-11 07:28:09.035032 : Epoch  4, Batch   1331, Loss  0.835676, Average Loss  0.868019, Time  0.179471
2021-09-11 07:28:10.641761 : Epoch  4, Batch   1332, Loss  0.907235, Average Loss  0.868139, Time  0.170024
2021-09-11 07:28:11.067814 : Epoch  3, Batch    441, Loss  0.869538, Average Loss  0.870886, Time  0.258337
2021-09-11 07:28:12.387116 : Epoch  4, Batch   1333, Loss  0.883349, Average Loss  0.868246, Time  0.180005
2021-09-11 07:28:13.657344 : Epoch  3, Batch    442, Loss  0.843609, Average Loss  0.870758, Time  0.244202
2021-09-11 07:28:13.978814 : Epoch  4, Batch   1334, Loss  0.899326, Average Loss  0.868458, Time  0.170532
2021-09-11 07:28:15.583029 : Epoch  4, Batch   1335, Loss  0.870835, Average Loss  0.868477, Time  0.172732
2021-09-11 07:28:16.287263 : Epoch  3, Batch    443, Loss  0.863199, Average Loss  0.870705, Time  0.239626
2021-09-11 07:28:17.186804 : Epoch  4, Batch   1336, Loss  0.894488, Average Loss  0.868690, Time  0.170378
2021-09-11 07:28:18.788850 : Epoch  4, Batch   1337, Loss  0.837158, Average Loss  0.868533, Time  0.173182
2021-09-11 07:28:18.870970 : Epoch  3, Batch    444, Loss  0.853799, Average Loss  0.870668, Time  0.242912
2021-09-11 07:28:20.396030 : Epoch  4, Batch   1338, Loss  0.840386, Average Loss  0.868457, Time  0.169645
2021-09-11 07:28:21.504966 : Epoch  3, Batch    445, Loss  0.872230, Average Loss  0.870640, Time  0.240314
2021-09-11 07:28:22.042037 : Epoch  4, Batch   1339, Loss  0.854633, Average Loss  0.868295, Time  0.176369
2021-09-11 07:28:23.637868 : Epoch  4, Batch   1340, Loss  0.888660, Average Loss  0.868500, Time  0.169772
2021-09-11 07:28:24.178163 : Epoch  3, Batch    446, Loss  0.868686, Average Loss  0.870689, Time  0.260192
2021-09-11 07:28:25.237033 : Epoch  4, Batch   1341, Loss  0.871460, Average Loss  0.868405, Time  0.169725
2021-09-11 07:28:26.815089 : Epoch  3, Batch    447, Loss  0.854078, Average Loss  0.870637, Time  0.247497
2021-09-11 07:28:26.839033 : Epoch  4, Batch   1342, Loss  0.871406, Average Loss  0.868479, Time  0.169931
2021-09-11 07:28:28.483047 : Epoch  4, Batch   1343, Loss  0.891006, Average Loss  0.868606, Time  0.173504
2021-09-11 07:28:29.446753 : Epoch  3, Batch    448, Loss  0.868039, Average Loss  0.870564, Time  0.240289
2021-09-11 07:28:30.113021 : Epoch  4, Batch   1344, Loss  0.877599, Average Loss  0.868605, Time  0.174468
2021-09-11 07:28:31.738815 : Epoch  4, Batch   1345, Loss  0.849267, Average Loss  0.868490, Time  0.176690
2021-09-11 07:28:32.044391 : Epoch  3, Batch    449, Loss  0.872547, Average Loss  0.870605, Time  0.238256
2021-09-11 07:28:33.342793 : Epoch  4, Batch   1346, Loss  0.878773, Average Loss  0.868630, Time  0.176001
2021-09-11 07:28:34.662877 : Epoch  3, Batch    450, Loss  0.861283, Average Loss  0.870491, Time  0.243171
2021-09-11 07:28:34.955028 : Epoch  4, Batch   1347, Loss  0.861971, Average Loss  0.868551, Time  0.172877
2021-09-11 07:28:36.569853 : Epoch  4, Batch   1348, Loss  0.889345, Average Loss  0.868717, Time  0.171348
2021-09-11 07:28:37.267473 : Epoch  3, Batch    451, Loss  0.853836, Average Loss  0.870398, Time  0.242483
2021-09-11 07:28:38.172835 : Epoch  4, Batch   1349, Loss  0.854959, Average Loss  0.868739, Time  0.174812
2021-09-11 07:28:39.773028 : Epoch  4, Batch   1350, Loss  0.875578, Average Loss  0.868776, Time  0.169917
2021-09-11 07:28:39.854148 : Epoch  3, Batch    452, Loss  0.859843, Average Loss  0.870287, Time  0.240673
2021-09-11 07:28:41.379793 : Epoch  4, Batch   1351, Loss  0.903420, Average Loss  0.868958, Time  0.173182
2021-09-11 07:28:42.534472 : Epoch  3, Batch    453, Loss  0.862225, Average Loss  0.870349, Time  0.260688
2021-09-11 07:28:42.980019 : Epoch  4, Batch   1352, Loss  0.880842, Average Loss  0.868991, Time  0.173708
2021-09-11 07:28:44.582756 : Epoch  4, Batch   1353, Loss  0.859834, Average Loss  0.869113, Time  0.172565
2021-09-11 07:28:45.148109 : Epoch  3, Batch    454, Loss  0.869035, Average Loss  0.870391, Time  0.240913
2021-09-11 07:28:46.218039 : Epoch  4, Batch   1354, Loss  0.876037, Average Loss  0.869122, Time  0.179983
2021-09-11 07:28:47.751939 : Epoch  3, Batch    455, Loss  0.846164, Average Loss  0.870313, Time  0.238068
2021-09-11 07:28:47.827027 : Epoch  4, Batch   1355, Loss  0.894233, Average Loss  0.869272, Time  0.179749
2021-09-11 07:28:49.453033 : Epoch  4, Batch   1356, Loss  0.881307, Average Loss  0.869379, Time  0.172517
2021-09-11 07:28:50.339920 : Epoch  3, Batch    456, Loss  0.852107, Average Loss  0.870245, Time  0.237591
2021-09-11 07:28:51.054848 : Epoch  4, Batch   1357, Loss  0.860574, Average Loss  0.869271, Time  0.171452
2021-09-11 07:28:52.657845 : Epoch  4, Batch   1358, Loss  0.885691, Average Loss  0.869443, Time  0.173357
2021-09-11 07:28:52.942919 : Epoch  3, Batch    457, Loss  0.867798, Average Loss  0.870181, Time  0.243658
2021-09-11 07:28:54.262753 : Epoch  4, Batch   1359, Loss  0.878929, Average Loss  0.869346, Time  0.170058
2021-09-11 07:28:55.595265 : Epoch  3, Batch    458, Loss  0.868461, Average Loss  0.870144, Time  0.245465
2021-09-11 07:28:55.856834 : Epoch  4, Batch   1360, Loss  0.882792, Average Loss  0.869561, Time  0.173137
2021-09-11 07:28:57.454794 : Epoch  4, Batch   1361, Loss  0.879519, Average Loss  0.869669, Time  0.172575
2021-09-11 07:28:58.191518 : Epoch  3, Batch    459, Loss  0.875630, Average Loss  0.870158, Time  0.241977
2021-09-11 07:28:59.051688 : Epoch  4, Batch   1362, Loss  0.874817, Average Loss  0.869725, Time  0.172961
2021-09-11 07:29:00.645801 : Epoch  4, Batch   1363, Loss  0.878543, Average Loss  0.869868, Time  0.184935
2021-09-11 07:29:00.801183 : Epoch  3, Batch    460, Loss  0.872069, Average Loss  0.870215, Time  0.242337
2021-09-11 07:29:02.249035 : Epoch  4, Batch   1364, Loss  0.845193, Average Loss  0.869943, Time  0.170163
2021-09-11 07:29:03.435413 : Epoch  3, Batch    461, Loss  0.855793, Average Loss  0.870099, Time  0.249859
2021-09-11 07:29:03.847029 : Epoch  4, Batch   1365, Loss  0.876894, Average Loss  0.870021, Time  0.170759
2021-09-11 07:29:05.437784 : Epoch  4, Batch   1366, Loss  0.851253, Average Loss  0.870017, Time  0.170137
2021-09-11 07:29:06.037013 : Epoch  3, Batch    462, Loss  0.887887, Average Loss  0.870214, Time  0.241877
2021-09-11 07:29:07.070040 : Epoch  4, Batch   1367, Loss  0.902976, Average Loss  0.870251, Time  0.180689
2021-09-11 07:29:08.612916 : Epoch  3, Batch    463, Loss  0.835963, Average Loss  0.870066, Time  0.240588
2021-09-11 07:29:11.205977 : Epoch  3, Batch    464, Loss  0.881363, Average Loss  0.870069, Time  0.241797
2021-09-11 07:29:13.833940 : Epoch  3, Batch    465, Loss  0.878955, Average Loss  0.870121, Time  0.240852
2021-09-11 07:29:16.449103 : Epoch  3, Batch    466, Loss  0.884242, Average Loss  0.870252, Time  0.241148
2021-09-11 07:29:19.063800 : Epoch  3, Batch    467, Loss  0.872982, Average Loss  0.870310, Time  0.241045
2021-09-11 07:29:21.717497 : Epoch  3, Batch    468, Loss  0.870531, Average Loss  0.870226, Time  0.245425
2021-09-11 07:29:24.337785 : Epoch  3, Batch    469, Loss  0.874440, Average Loss  0.870374, Time  0.240629
2021-09-11 07:29:26.930921 : Epoch  3, Batch    470, Loss  0.866681, Average Loss  0.870436, Time  0.241909
2021-09-11 07:29:29.533440 : Epoch  3, Batch    471, Loss  0.857094, Average Loss  0.870257, Time  0.243411
2021-09-11 07:29:32.124356 : Epoch  3, Batch    472, Loss  0.832667, Average Loss  0.870057, Time  0.242114
2021-09-11 07:29:34.711362 : Epoch  3, Batch    473, Loss  0.871126, Average Loss  0.870099, Time  0.241127
2021-09-11 07:29:37.306463 : Epoch  3, Batch    474, Loss  0.855229, Average Loss  0.869984, Time  0.243764
2021-09-11 07:29:39.927235 : Epoch  3, Batch    475, Loss  0.869169, Average Loss  0.870000, Time  0.241751
2021-09-11 07:29:42.552756 : Epoch  3, Batch    476, Loss  0.863781, Average Loss  0.870002, Time  0.240299
2021-09-11 07:29:45.181376 : Epoch  3, Batch    477, Loss  0.869850, Average Loss  0.869978, Time  0.241080
2021-09-11 07:29:47.814398 : Epoch  3, Batch    478, Loss  0.880093, Average Loss  0.869955, Time  0.243918
2021-09-11 07:29:50.421398 : Epoch  3, Batch    479, Loss  0.864644, Average Loss  0.869885, Time  0.237418
2021-09-11 07:29:53.015257 : Epoch  3, Batch    480, Loss  0.857290, Average Loss  0.869800, Time  0.237841
2021-09-11 07:29:55.638074 : Epoch  3, Batch    481, Loss  0.861760, Average Loss  0.869809, Time  0.243332
2021-09-11 07:29:58.242947 : Epoch  3, Batch    482, Loss  0.887782, Average Loss  0.869860, Time  0.243661
2021-09-11 07:30:00.866057 : Epoch  3, Batch    483, Loss  0.841767, Average Loss  0.869734, Time  0.241096
2021-09-11 07:30:03.482052 : Epoch  3, Batch    484, Loss  0.883035, Average Loss  0.869778, Time  0.240660
2021-09-11 07:30:06.081235 : Epoch  3, Batch    485, Loss  0.868901, Average Loss  0.869843, Time  0.237899
2021-09-11 07:30:08.683401 : Epoch  3, Batch    486, Loss  0.866377, Average Loss  0.869811, Time  0.237182
2021-09-11 07:30:11.269962 : Epoch  3, Batch    487, Loss  0.887115, Average Loss  0.870095, Time  0.238605
2021-09-11 07:30:13.873983 : Epoch  3, Batch    488, Loss  0.872777, Average Loss  0.870257, Time  0.240570
2021-09-11 07:33:47.757046 : CheckPoint: Validation Loss  0.00059090, Best Loss  0.00057296
2021-09-11 07:33:49.342817 : Epoch  4, Batch   1368, Loss  0.863288, Average Loss  0.870150, Time  0.178946
2021-09-11 07:33:50.952743 : Epoch  4, Batch   1369, Loss  0.863502, Average Loss  0.870168, Time  0.170475
2021-09-11 07:33:52.573874 : Epoch  4, Batch   1370, Loss  0.885697, Average Loss  0.870209, Time  0.180753
2021-09-11 07:33:54.191750 : Epoch  4, Batch   1371, Loss  0.886446, Average Loss  0.870343, Time  0.169998
2021-09-11 07:33:55.811764 : Epoch  4, Batch   1372, Loss  0.855077, Average Loss  0.870274, Time  0.182876
2021-09-11 07:33:57.451738 : Epoch  4, Batch   1373, Loss  0.871292, Average Loss  0.870221, Time  0.192214
2021-09-11 07:33:59.057018 : Epoch  4, Batch   1374, Loss  0.871828, Average Loss  0.870070, Time  0.169847
2021-09-11 07:34:00.664780 : Epoch  4, Batch   1375, Loss  0.855493, Average Loss  0.869975, Time  0.176721
2021-09-11 07:34:02.263027 : Epoch  4, Batch   1376, Loss  0.880361, Average Loss  0.869980, Time  0.174502
2021-09-11 07:34:03.876029 : Epoch  4, Batch   1377, Loss  0.889250, Average Loss  0.869954, Time  0.171290
2021-09-11 07:34:05.507033 : Epoch  4, Batch   1378, Loss  0.847571, Average Loss  0.869969, Time  0.177160
2021-09-11 07:34:07.140839 : Epoch  4, Batch   1379, Loss  0.848269, Average Loss  0.869767, Time  0.178913
2021-09-11 07:34:08.756035 : Epoch  4, Batch   1380, Loss  0.889930, Average Loss  0.869727, Time  0.195424
2021-09-11 07:34:10.350037 : Epoch  4, Batch   1381, Loss  0.874318, Average Loss  0.869854, Time  0.169683
2021-09-11 07:34:11.955847 : Epoch  4, Batch   1382, Loss  0.886851, Average Loss  0.869872, Time  0.173746
2021-09-11 07:34:13.556762 : Epoch  4, Batch   1383, Loss  0.839536, Average Loss  0.869689, Time  0.171862
2021-09-11 07:34:15.147832 : Epoch  4, Batch   1384, Loss  0.871964, Average Loss  0.869580, Time  0.172571
2021-09-11 07:34:16.769807 : Epoch  4, Batch   1385, Loss  0.862301, Average Loss  0.869691, Time  0.172884
2021-09-11 07:34:18.385749 : Epoch  4, Batch   1386, Loss  0.872860, Average Loss  0.869726, Time  0.169962
2021-09-11 07:34:19.996796 : Epoch  4, Batch   1387, Loss  0.866967, Average Loss  0.869538, Time  0.170316
2021-09-11 07:34:21.623820 : Epoch  4, Batch   1388, Loss  0.875360, Average Loss  0.869635, Time  0.169822
2021-09-11 07:34:23.140838 : CheckPoint: Validation Loss  0.00029570, Best Loss  0.00029375
2021-09-11 07:34:23.260798 : Epoch  4, Batch   1389, Loss  0.881376, Average Loss  0.869553, Time  0.177020
2021-09-11 07:34:24.867796 : Epoch  4, Batch   1390, Loss  0.862856, Average Loss  0.869289, Time  0.174734
2021-09-11 07:34:25.822197 : Epoch  3, Batch    489, Loss  0.870232, Average Loss  0.870190, Time  0.262222
2021-09-11 07:34:26.488768 : Epoch  4, Batch   1391, Loss  0.893933, Average Loss  0.869537, Time  0.185729
2021-09-11 07:34:28.098042 : Epoch  4, Batch   1392, Loss  0.858851, Average Loss  0.869385, Time  0.177217
2021-09-11 07:34:28.514773 : Epoch  3, Batch    490, Loss  0.878804, Average Loss  0.870257, Time  0.264480
2021-09-11 07:34:29.716757 : Epoch  4, Batch   1393, Loss  0.858710, Average Loss  0.869437, Time  0.178342
2021-09-11 07:34:31.182793 : Epoch  3, Batch    491, Loss  0.868798, Average Loss  0.870213, Time  0.257886
2021-09-11 07:34:31.330824 : Epoch  4, Batch   1394, Loss  0.897499, Average Loss  0.869644, Time  0.180358
2021-09-11 07:34:32.919737 : Epoch  4, Batch   1395, Loss  0.850595, Average Loss  0.869461, Time  0.170290
2021-09-11 07:34:33.854298 : Epoch  3, Batch    492, Loss  0.892157, Average Loss  0.870245, Time  0.257766
2021-09-11 07:34:34.525033 : Epoch  4, Batch   1396, Loss  0.864000, Average Loss  0.869396, Time  0.171110
2021-09-11 07:34:36.147031 : Epoch  4, Batch   1397, Loss  0.858957, Average Loss  0.869331, Time  0.179452
2021-09-11 07:34:36.527721 : Epoch  3, Batch    493, Loss  0.873895, Average Loss  0.870230, Time  0.260718
2021-09-11 07:34:37.779908 : Epoch  4, Batch   1398, Loss  0.846272, Average Loss  0.869151, Time  0.177698
2021-09-11 07:34:39.190126 : Epoch  3, Batch    494, Loss  0.870353, Average Loss  0.870182, Time  0.259064
2021-09-11 07:34:39.401048 : Epoch  4, Batch   1399, Loss  0.866466, Average Loss  0.869154, Time  0.170584
2021-09-11 07:34:41.024030 : Epoch  4, Batch   1400, Loss  0.855425, Average Loss  0.869094, Time  0.174051
2021-09-11 07:34:41.776270 : Epoch  3, Batch    495, Loss  0.891721, Average Loss  0.870304, Time  0.241252
2021-09-11 07:34:42.644036 : Epoch  4, Batch   1401, Loss  0.867935, Average Loss  0.869143, Time  0.173123
2021-09-11 07:34:44.281037 : Epoch  4, Batch   1402, Loss  0.851059, Average Loss  0.868966, Time  0.175822
2021-09-11 07:34:44.370545 : Epoch  3, Batch    496, Loss  0.871254, Average Loss  0.870205, Time  0.242945
2021-09-11 07:34:45.879034 : Epoch  4, Batch   1403, Loss  0.872118, Average Loss  0.868929, Time  0.175547
2021-09-11 07:34:47.003072 : Epoch  3, Batch    497, Loss  0.864263, Average Loss  0.870155, Time  0.239630
2021-09-11 07:34:47.470028 : Epoch  4, Batch   1404, Loss  0.840754, Average Loss  0.868824, Time  0.175878
2021-09-11 07:34:49.100027 : Epoch  4, Batch   1405, Loss  0.868974, Average Loss  0.869050, Time  0.176279
2021-09-11 07:34:49.644853 : Epoch  3, Batch    498, Loss  0.878713, Average Loss  0.870202, Time  0.239945
2021-09-11 07:34:50.704905 : Epoch  4, Batch   1406, Loss  0.870979, Average Loss  0.869010, Time  0.179873
2021-09-11 07:34:52.267875 : Epoch  3, Batch    499, Loss  0.866409, Average Loss  0.870152, Time  0.239796
2021-09-11 07:34:52.334760 : Epoch  4, Batch   1407, Loss  0.858603, Average Loss  0.869103, Time  0.177703
2021-09-11 07:34:53.964027 : Epoch  4, Batch   1408, Loss  0.909162, Average Loss  0.869354, Time  0.174827
2021-09-11 07:34:54.929560 : Epoch  3, Batch    500, Loss  0.883297, Average Loss  0.870177, Time  0.264892
2021-09-11 07:34:55.605812 : Epoch  4, Batch   1409, Loss  0.865321, Average Loss  0.869411, Time  0.177877
2021-09-11 07:34:57.242034 : Epoch  4, Batch   1410, Loss  0.892131, Average Loss  0.869576, Time  0.174176
2021-09-11 07:34:57.618739 : Epoch  3, Batch    501, Loss  0.868608, Average Loss  0.870150, Time  0.262322
2021-09-11 07:34:58.857036 : Epoch  4, Batch   1411, Loss  0.853352, Average Loss  0.869466, Time  0.172999
2021-09-11 07:35:00.220189 : Epoch  3, Batch    502, Loss  0.888354, Average Loss  0.870316, Time  0.243730
2021-09-11 07:35:00.481020 : Epoch  4, Batch   1412, Loss  0.886298, Average Loss  0.869653, Time  0.175290
2021-09-11 07:35:02.101752 : Epoch  4, Batch   1413, Loss  0.876094, Average Loss  0.869564, Time  0.174974
2021-09-11 07:35:02.824594 : Epoch  3, Batch    503, Loss  0.887097, Average Loss  0.870323, Time  0.242917
2021-09-11 07:35:03.737832 : Epoch  4, Batch   1414, Loss  0.865042, Average Loss  0.869598, Time  0.179203
2021-09-11 07:35:05.364848 : Epoch  4, Batch   1415, Loss  0.875485, Average Loss  0.869565, Time  0.173260
2021-09-11 07:35:05.435923 : Epoch  3, Batch    504, Loss  0.859061, Average Loss  0.870177, Time  0.243613
2021-09-11 07:35:06.993750 : Epoch  4, Batch   1416, Loss  0.901113, Average Loss  0.869641, Time  0.172865
2021-09-11 07:35:08.060375 : Epoch  3, Batch    505, Loss  0.873855, Average Loss  0.870183, Time  0.242932
2021-09-11 07:35:08.597030 : Epoch  4, Batch   1417, Loss  0.847851, Average Loss  0.869506, Time  0.170247
2021-09-11 07:35:10.203030 : Epoch  4, Batch   1418, Loss  0.857351, Average Loss  0.869399, Time  0.172899
2021-09-11 07:35:10.667913 : Epoch  3, Batch    506, Loss  0.865927, Average Loss  0.870114, Time  0.241985
2021-09-11 07:35:11.831032 : Epoch  4, Batch   1419, Loss  0.853320, Average Loss  0.869334, Time  0.169997
2021-09-11 07:35:13.260814 : Epoch  3, Batch    507, Loss  0.869751, Average Loss  0.870073, Time  0.241777
2021-09-11 07:35:13.480871 : Epoch  4, Batch   1420, Loss  0.876222, Average Loss  0.869412, Time  0.180670
2021-09-11 07:35:15.088018 : Epoch  4, Batch   1421, Loss  0.888386, Average Loss  0.869414, Time  0.183061
2021-09-11 07:35:15.864858 : Epoch  3, Batch    508, Loss  0.861555, Average Loss  0.869986, Time  0.242272
2021-09-11 07:35:16.713769 : Epoch  4, Batch   1422, Loss  0.877899, Average Loss  0.869509, Time  0.176986
2021-09-11 07:35:18.323792 : Epoch  4, Batch   1423, Loss  0.888181, Average Loss  0.869612, Time  0.171091
2021-09-11 07:35:18.452897 : Epoch  3, Batch    509, Loss  0.890832, Average Loss  0.870077, Time  0.239621
2021-09-11 07:35:19.962820 : Epoch  4, Batch   1424, Loss  0.856480, Average Loss  0.869485, Time  0.175128
2021-09-11 07:35:21.042016 : Epoch  3, Batch    510, Loss  0.888890, Average Loss  0.870256, Time  0.239602
2021-09-11 07:35:21.568823 : Epoch  4, Batch   1425, Loss  0.873423, Average Loss  0.869445, Time  0.173525
2021-09-11 07:35:23.158823 : Epoch  4, Batch   1426, Loss  0.887417, Average Loss  0.869600, Time  0.171808
2021-09-11 07:35:23.678290 : Epoch  3, Batch    511, Loss  0.889984, Average Loss  0.870438, Time  0.245970
2021-09-11 07:35:24.759824 : Epoch  4, Batch   1427, Loss  0.879082, Average Loss  0.869649, Time  0.170861
2021-09-11 07:35:26.281851 : Epoch  3, Batch    512, Loss  0.867055, Average Loss  0.870503, Time  0.244317
2021-09-11 07:35:26.364031 : Epoch  4, Batch   1428, Loss  0.886826, Average Loss  0.869653, Time  0.174961
2021-09-11 07:35:27.979035 : Epoch  4, Batch   1429, Loss  0.875639, Average Loss  0.869824, Time  0.179486
2021-09-11 07:35:28.864762 : Epoch  3, Batch    513, Loss  0.853677, Average Loss  0.870459, Time  0.239646
2021-09-11 07:35:29.601031 : Epoch  4, Batch   1430, Loss  0.886785, Average Loss  0.869818, Time  0.175637
2021-09-11 07:35:31.231754 : Epoch  4, Batch   1431, Loss  0.871290, Average Loss  0.869808, Time  0.181499
2021-09-11 07:35:31.444883 : Epoch  3, Batch    514, Loss  0.867887, Average Loss  0.870480, Time  0.239413
2021-09-11 07:35:32.875028 : Epoch  4, Batch   1432, Loss  0.856185, Average Loss  0.869717, Time  0.169703
2021-09-11 07:35:34.031698 : Epoch  3, Batch    515, Loss  0.855494, Average Loss  0.870402, Time  0.241235
2021-09-11 07:35:34.482812 : Epoch  4, Batch   1433, Loss  0.860256, Average Loss  0.869611, Time  0.170014
2021-09-11 07:35:36.082035 : Epoch  4, Batch   1434, Loss  0.895790, Average Loss  0.869848, Time  0.171074
2021-09-11 07:35:36.617802 : Epoch  3, Batch    516, Loss  0.885499, Average Loss  0.870434, Time  0.241501
2021-09-11 07:35:37.697728 : Epoch  4, Batch   1435, Loss  0.881823, Average Loss  0.869950, Time  0.170247
2021-09-11 07:35:39.199901 : Epoch  3, Batch    517, Loss  0.873200, Average Loss  0.870562, Time  0.240359
2021-09-11 07:35:39.296835 : Epoch  4, Batch   1436, Loss  0.867177, Average Loss  0.869949, Time  0.172085
2021-09-11 07:35:40.898869 : Epoch  4, Batch   1437, Loss  0.852169, Average Loss  0.869814, Time  0.180778
2021-09-11 07:35:41.785372 : Epoch  3, Batch    518, Loss  0.877795, Average Loss  0.870615, Time  0.240967
2021-09-11 07:35:42.501061 : Epoch  4, Batch   1438, Loss  0.883112, Average Loss  0.869896, Time  0.171054
2021-09-11 07:35:44.077780 : Epoch  4, Batch   1439, Loss  0.896092, Average Loss  0.869974, Time  0.170129
2021-09-11 07:35:44.368341 : Epoch  3, Batch    519, Loss  0.859731, Average Loss  0.870562, Time  0.240674
2021-09-11 07:35:45.672033 : Epoch  4, Batch   1440, Loss  0.844758, Average Loss  0.870011, Time  0.174717
2021-09-11 07:35:46.949220 : Epoch  3, Batch    520, Loss  0.870111, Average Loss  0.870464, Time  0.237893
2021-09-11 07:35:47.282759 : Epoch  4, Batch   1441, Loss  0.861454, Average Loss  0.869827, Time  0.177310
2021-09-11 07:35:48.887768 : Epoch  4, Batch   1442, Loss  0.887845, Average Loss  0.870204, Time  0.171208
2021-09-11 07:35:49.578149 : Epoch  3, Batch    521, Loss  0.897791, Average Loss  0.870518, Time  0.241461
2021-09-11 07:35:50.517926 : Epoch  4, Batch   1443, Loss  0.885383, Average Loss  0.870303, Time  0.174631
2021-09-11 07:35:52.142025 : Epoch  4, Batch   1444, Loss  0.893552, Average Loss  0.870428, Time  0.170722
2021-09-11 07:35:52.198958 : Epoch  3, Batch    522, Loss  0.863075, Average Loss  0.870454, Time  0.240205
2021-09-11 07:35:53.756798 : Epoch  4, Batch   1445, Loss  0.880219, Average Loss  0.870435, Time  0.172060
2021-09-11 07:35:54.801775 : Epoch  3, Batch    523, Loss  0.864192, Average Loss  0.870360, Time  0.238463
2021-09-11 07:35:55.372798 : Epoch  4, Batch   1446, Loss  0.901839, Average Loss  0.870611, Time  0.174330
2021-09-11 07:35:56.980864 : Epoch  4, Batch   1447, Loss  0.875731, Average Loss  0.870587, Time  0.173882
2021-09-11 07:35:57.406902 : Epoch  3, Batch    524, Loss  0.883589, Average Loss  0.870460, Time  0.243783
2021-09-11 07:35:58.588782 : Epoch  4, Batch   1448, Loss  0.858637, Average Loss  0.870508, Time  0.173387
2021-09-11 07:36:00.005881 : Epoch  3, Batch    525, Loss  0.842999, Average Loss  0.870252, Time  0.239822
2021-09-11 07:36:00.214791 : Epoch  4, Batch   1449, Loss  0.840254, Average Loss  0.870353, Time  0.173123
2021-09-11 07:36:01.833770 : Epoch  4, Batch   1450, Loss  0.883841, Average Loss  0.870662, Time  0.172121
2021-09-11 07:36:02.604948 : Epoch  3, Batch    526, Loss  0.866041, Average Loss  0.870112, Time  0.242334
2021-09-11 07:36:03.473737 : Epoch  4, Batch   1451, Loss  0.871392, Average Loss  0.870533, Time  0.178695
2021-09-11 07:36:05.120013 : Epoch  4, Batch   1452, Loss  0.883982, Average Loss  0.870769, Time  0.184280
2021-09-11 07:36:05.196341 : Epoch  3, Batch    527, Loss  0.873230, Average Loss  0.870142, Time  0.239914
2021-09-11 07:36:06.731815 : Epoch  4, Batch   1453, Loss  0.867958, Average Loss  0.870628, Time  0.172640
2021-09-11 07:36:07.794939 : Epoch  3, Batch    528, Loss  0.898890, Average Loss  0.870339, Time  0.241427
2021-09-11 07:36:08.356775 : Epoch  4, Batch   1454, Loss  0.893542, Average Loss  0.870807, Time  0.172730
2021-09-11 07:36:09.965075 : Epoch  4, Batch   1455, Loss  0.859179, Average Loss  0.870689, Time  0.178647
2021-09-11 07:36:10.393968 : Epoch  3, Batch    529, Loss  0.878646, Average Loss  0.870331, Time  0.242700
2021-09-11 07:36:11.578798 : Epoch  4, Batch   1456, Loss  0.838078, Average Loss  0.870589, Time  0.181352
2021-09-11 07:36:12.992856 : Epoch  3, Batch    530, Loss  0.856802, Average Loss  0.870292, Time  0.241632
2021-09-11 07:36:13.207974 : Epoch  4, Batch   1457, Loss  0.874845, Average Loss  0.870671, Time  0.181296
2021-09-11 07:36:14.825883 : Epoch  4, Batch   1458, Loss  0.854799, Average Loss  0.870638, Time  0.170402
2021-09-11 07:36:15.576825 : Epoch  3, Batch    531, Loss  0.871931, Average Loss  0.870278, Time  0.241431
2021-09-11 07:36:16.421776 : Epoch  4, Batch   1459, Loss  0.852878, Average Loss  0.870526, Time  0.173096
2021-09-11 07:36:18.053811 : Epoch  4, Batch   1460, Loss  0.855880, Average Loss  0.870633, Time  0.173293
2021-09-11 07:36:18.159361 : Epoch  3, Batch    532, Loss  0.865227, Average Loss  0.870326, Time  0.239272
2021-09-11 07:36:19.673815 : Epoch  4, Batch   1461, Loss  0.864082, Average Loss  0.870538, Time  0.176348
2021-09-11 07:36:20.745899 : Epoch  3, Batch    533, Loss  0.847253, Average Loss  0.870251, Time  0.241416
2021-09-11 07:36:21.320765 : Epoch  4, Batch   1462, Loss  0.877257, Average Loss  0.870733, Time  0.179990
2021-09-11 07:36:22.951015 : Epoch  4, Batch   1463, Loss  0.879841, Average Loss  0.870780, Time  0.177927
2021-09-11 07:36:23.331930 : Epoch  3, Batch    534, Loss  0.878222, Average Loss  0.870176, Time  0.241199
2021-09-11 07:36:24.533787 : Epoch  4, Batch   1464, Loss  0.877476, Average Loss  0.870863, Time  0.172026
2021-09-11 07:36:25.926430 : Epoch  3, Batch    535, Loss  0.887831, Average Loss  0.870331, Time  0.240960
2021-09-11 07:36:26.139823 : Epoch  4, Batch   1465, Loss  0.860082, Average Loss  0.870751, Time  0.170280
2021-09-11 07:36:27.731773 : Epoch  4, Batch   1466, Loss  0.869527, Average Loss  0.870613, Time  0.170179
2021-09-11 07:36:28.577845 : Epoch  3, Batch    536, Loss  0.877373, Average Loss  0.870325, Time  0.240999
2021-09-11 07:36:29.355031 : Epoch  4, Batch   1467, Loss  0.878670, Average Loss  0.870808, Time  0.172560
2021-09-11 07:36:31.174869 : Epoch  3, Batch    537, Loss  0.869498, Average Loss  0.870429, Time  0.242342
2021-09-11 07:36:33.784356 : Epoch  3, Batch    538, Loss  0.868438, Average Loss  0.870387, Time  0.242488
2021-09-11 07:36:36.433910 : Epoch  3, Batch    539, Loss  0.875128, Average Loss  0.870346, Time  0.242048
2021-09-11 07:36:39.056974 : Epoch  3, Batch    540, Loss  0.864203, Average Loss  0.870387, Time  0.239644
2021-09-11 07:36:41.707415 : Epoch  3, Batch    541, Loss  0.873859, Average Loss  0.870472, Time  0.249731
2021-09-11 07:36:44.328395 : Epoch  3, Batch    542, Loss  0.887488, Average Loss  0.870521, Time  0.239241
2021-09-11 07:36:46.936825 : Epoch  3, Batch    543, Loss  0.870500, Average Loss  0.870532, Time  0.238651
2021-09-11 07:36:49.534404 : Epoch  3, Batch    544, Loss  0.871642, Average Loss  0.870618, Time  0.237904
2021-09-11 07:36:52.165984 : Epoch  3, Batch    545, Loss  0.894400, Average Loss  0.870797, Time  0.244279
2021-09-11 07:36:54.779409 : Epoch  3, Batch    546, Loss  0.861361, Average Loss  0.870737, Time  0.237467
2021-09-11 07:36:57.386408 : Epoch  3, Batch    547, Loss  0.871022, Average Loss  0.870799, Time  0.237455
2021-09-11 07:36:59.982894 : Epoch  3, Batch    548, Loss  0.880966, Average Loss  0.870833, Time  0.237213
2021-09-11 07:37:02.580396 : Epoch  3, Batch    549, Loss  0.860325, Average Loss  0.870636, Time  0.237216
2021-09-11 07:37:05.176887 : Epoch  3, Batch    550, Loss  0.878306, Average Loss  0.870691, Time  0.237339
2021-09-11 07:37:07.779851 : Epoch  3, Batch    551, Loss  0.870226, Average Loss  0.870694, Time  0.237664
2021-09-11 07:37:10.389876 : Epoch  3, Batch    552, Loss  0.869493, Average Loss  0.870686, Time  0.238660
2021-09-11 07:37:13.002915 : Epoch  3, Batch    553, Loss  0.890652, Average Loss  0.870845, Time  0.243470
2021-09-11 07:37:15.613229 : Epoch  3, Batch    554, Loss  0.875294, Average Loss  0.870969, Time  0.245079
2021-09-11 07:37:18.216104 : Epoch  3, Batch    555, Loss  0.892883, Average Loss  0.871035, Time  0.241505
2021-09-11 07:37:20.875888 : Epoch  3, Batch    556, Loss  0.861705, Average Loss  0.870975, Time  0.240927
2021-09-11 07:37:23.485805 : Epoch  3, Batch    557, Loss  0.874726, Average Loss  0.871028, Time  0.238392
2021-09-11 07:37:26.094845 : Epoch  3, Batch    558, Loss  0.880881, Average Loss  0.871059, Time  0.237590
2021-09-11 07:37:28.711976 : Epoch  3, Batch    559, Loss  0.881975, Average Loss  0.871023, Time  0.239792
2021-09-11 07:37:31.321969 : Epoch  3, Batch    560, Loss  0.856441, Average Loss  0.870979, Time  0.237906
2021-09-11 07:37:33.929932 : Epoch  3, Batch    561, Loss  0.842736, Average Loss  0.870739, Time  0.238766
2021-09-11 07:37:36.534827 : Epoch  3, Batch    562, Loss  0.855644, Average Loss  0.870749, Time  0.238718
2021-09-11 07:37:39.140102 : Epoch  3, Batch    563, Loss  0.863255, Average Loss  0.870642, Time  0.238740
2021-09-11 07:37:41.733035 : Epoch  3, Batch    564, Loss  0.879883, Average Loss  0.870592, Time  0.239885
2021-09-11 07:37:44.318930 : Epoch  3, Batch    565, Loss  0.858302, Average Loss  0.870666, Time  0.238202
2021-09-11 07:37:46.919592 : Epoch  3, Batch    566, Loss  0.893489, Average Loss  0.870699, Time  0.237926
2021-09-11 07:37:49.525904 : Epoch  3, Batch    567, Loss  0.874040, Average Loss  0.870698, Time  0.237503
2021-09-11 07:37:52.115874 : Epoch  3, Batch    568, Loss  0.872325, Average Loss  0.870814, Time  0.237202
2021-09-11 07:37:54.703121 : Epoch  3, Batch    569, Loss  0.867986, Average Loss  0.870747, Time  0.237450
2021-09-11 07:37:57.308976 : Epoch  3, Batch    570, Loss  0.866012, Average Loss  0.870753, Time  0.238494
2021-09-11 07:37:59.914584 : Epoch  3, Batch    571, Loss  0.878545, Average Loss  0.870789, Time  0.242714
2021-09-11 07:38:02.537215 : Epoch  3, Batch    572, Loss  0.896439, Average Loss  0.871022, Time  0.241706
2021-09-11 07:38:05.147984 : Epoch  3, Batch    573, Loss  0.856156, Average Loss  0.870895, Time  0.238400
2021-09-11 07:38:07.794770 : Epoch  3, Batch    574, Loss  0.879890, Average Loss  0.870935, Time  0.241495
2021-09-11 07:38:10.391875 : Epoch  3, Batch    575, Loss  0.850940, Average Loss  0.870778, Time  0.238981
2021-09-11 07:38:12.994820 : Epoch  3, Batch    576, Loss  0.866112, Average Loss  0.870754, Time  0.242650
2021-09-11 07:38:15.607472 : Epoch  3, Batch    577, Loss  0.870370, Average Loss  0.870762, Time  0.239769
2021-09-11 07:38:18.206046 : Epoch  3, Batch    578, Loss  0.874096, Average Loss  0.870745, Time  0.237959
2021-09-11 07:38:20.811909 : Epoch  3, Batch    579, Loss  0.888907, Average Loss  0.870905, Time  0.237781
2021-09-11 07:38:23.412990 : Epoch  3, Batch    580, Loss  0.889699, Average Loss  0.871012, Time  0.237400
2021-09-11 07:38:26.011906 : Epoch  3, Batch    581, Loss  0.874462, Average Loss  0.871036, Time  0.238558
2021-09-11 07:38:28.618180 : Epoch  3, Batch    582, Loss  0.872982, Average Loss  0.871085, Time  0.240257
2021-09-11 07:38:31.205805 : Epoch  3, Batch    583, Loss  0.870834, Average Loss  0.871108, Time  0.240202
2021-09-11 07:38:33.823474 : Epoch  3, Batch    584, Loss  0.863439, Average Loss  0.871102, Time  0.242982
2021-09-11 07:38:36.434911 : Epoch  3, Batch    585, Loss  0.857029, Average Loss  0.871058, Time  0.239846
2021-09-11 07:38:39.045878 : Epoch  3, Batch    586, Loss  0.871379, Average Loss  0.870961, Time  0.238684
2021-09-11 07:38:41.674855 : Epoch  3, Batch    587, Loss  0.868131, Average Loss  0.870893, Time  0.237108
2021-09-11 07:38:44.290257 : Epoch  3, Batch    588, Loss  0.882336, Average Loss  0.870974, Time  0.244387
2021-09-11 07:41:10.134728 : CheckPoint: Validation Loss  0.00060694, Best Loss  0.00057296
2021-09-11 07:41:11.756823 : Epoch  4, Batch   1468, Loss  0.823316, Average Loss  0.870524, Time  0.176344
2021-09-11 07:41:13.362746 : Epoch  4, Batch   1469, Loss  0.832686, Average Loss  0.870414, Time  0.170535
2021-09-11 07:41:14.967868 : Epoch  4, Batch   1470, Loss  0.852826, Average Loss  0.870303, Time  0.175207
2021-09-11 07:41:16.609008 : Epoch  4, Batch   1471, Loss  0.895891, Average Loss  0.870508, Time  0.170241
2021-09-11 07:41:18.228027 : Epoch  4, Batch   1472, Loss  0.873891, Average Loss  0.870381, Time  0.172434
2021-09-11 07:41:19.829026 : Epoch  4, Batch   1473, Loss  0.853907, Average Loss  0.870487, Time  0.170645
2021-09-11 07:41:21.451748 : Epoch  4, Batch   1474, Loss  0.864593, Average Loss  0.870548, Time  0.170392
2021-09-11 07:41:23.080874 : Epoch  4, Batch   1475, Loss  0.912395, Average Loss  0.870852, Time  0.179751
2021-09-11 07:41:24.701066 : Epoch  4, Batch   1476, Loss  0.884266, Average Loss  0.870790, Time  0.170338
2021-09-11 07:41:26.332835 : Epoch  4, Batch   1477, Loss  0.855502, Average Loss  0.870759, Time  0.170918
2021-09-11 07:41:27.945794 : Epoch  4, Batch   1478, Loss  0.880154, Average Loss  0.870697, Time  0.174013
2021-09-11 07:41:29.532103 : Epoch  4, Batch   1479, Loss  0.851647, Average Loss  0.870445, Time  0.179564
2021-09-11 07:41:31.125030 : Epoch  4, Batch   1480, Loss  0.878255, Average Loss  0.870493, Time  0.183100
2021-09-11 07:41:32.724034 : Epoch  4, Batch   1481, Loss  0.862827, Average Loss  0.870464, Time  0.171117
2021-09-11 07:41:34.339029 : Epoch  4, Batch   1482, Loss  0.858986, Average Loss  0.870443, Time  0.173284
2021-09-11 07:41:35.944032 : Epoch  4, Batch   1483, Loss  0.862657, Average Loss  0.870368, Time  0.174970
2021-09-11 07:41:37.551762 : Epoch  4, Batch   1484, Loss  0.885895, Average Loss  0.870462, Time  0.174473
2021-09-11 07:41:39.174846 : Epoch  4, Batch   1485, Loss  0.884254, Average Loss  0.870325, Time  0.170266
2021-09-11 07:41:40.793031 : Epoch  4, Batch   1486, Loss  0.841538, Average Loss  0.870231, Time  0.178507
2021-09-11 07:41:42.413034 : Epoch  4, Batch   1487, Loss  0.892315, Average Loss  0.870374, Time  0.181843
2021-09-11 07:41:44.055041 : Epoch  4, Batch   1488, Loss  0.853884, Average Loss  0.870176, Time  0.173684
2021-09-11 07:41:45.665050 : Epoch  4, Batch   1489, Loss  0.845488, Average Loss  0.870003, Time  0.170996
2021-09-11 07:41:47.304771 : Epoch  4, Batch   1490, Loss  0.868808, Average Loss  0.870035, Time  0.176429
2021-09-11 07:41:48.944740 : Epoch  4, Batch   1491, Loss  0.873753, Average Loss  0.870134, Time  0.180465
2021-09-11 07:41:50.586782 : Epoch  4, Batch   1492, Loss  0.890321, Average Loss  0.870334, Time  0.170116
2021-09-11 07:41:52.207944 : Epoch  4, Batch   1493, Loss  0.886281, Average Loss  0.870519, Time  0.169987
2021-09-11 07:41:53.813823 : Epoch  4, Batch   1494, Loss  0.834096, Average Loss  0.870577, Time  0.176524
2021-09-11 07:41:55.443801 : Epoch  4, Batch   1495, Loss  0.880619, Average Loss  0.870695, Time  0.170331
2021-09-11 07:41:57.079032 : Epoch  4, Batch   1496, Loss  0.888081, Average Loss  0.870787, Time  0.180472
2021-09-11 07:41:58.684869 : Epoch  4, Batch   1497, Loss  0.881875, Average Loss  0.870820, Time  0.173557
2021-09-11 07:42:00.285863 : Epoch  4, Batch   1498, Loss  0.888095, Average Loss  0.871102, Time  0.170136
2021-09-11 07:42:01.926800 : Epoch  4, Batch   1499, Loss  0.873783, Average Loss  0.871147, Time  0.174017
2021-09-11 07:42:03.544022 : Epoch  4, Batch   1500, Loss  0.864614, Average Loss  0.871088, Time  0.170195
2021-09-11 07:42:05.195748 : Epoch  4, Batch   1501, Loss  0.876336, Average Loss  0.871120, Time  0.178289
2021-09-11 07:42:06.838777 : Epoch  4, Batch   1502, Loss  0.858583, Average Loss  0.871156, Time  0.172071
2021-09-11 07:42:08.465811 : Epoch  4, Batch   1503, Loss  0.896149, Average Loss  0.871290, Time  0.177677
2021-09-11 07:42:10.095034 : Epoch  4, Batch   1504, Loss  0.892902, Average Loss  0.871215, Time  0.169739
2021-09-11 07:42:11.731796 : Epoch  4, Batch   1505, Loss  0.857946, Average Loss  0.871106, Time  0.170129
2021-09-11 07:42:13.323854 : Epoch  4, Batch   1506, Loss  0.894488, Average Loss  0.871146, Time  0.170977
2021-09-11 07:42:14.932032 : Epoch  4, Batch   1507, Loss  0.876347, Average Loss  0.871278, Time  0.169818
2021-09-11 07:42:16.577892 : Epoch  4, Batch   1508, Loss  0.876848, Average Loss  0.871295, Time  0.172013
2021-09-11 07:42:18.209872 : Epoch  4, Batch   1509, Loss  0.860835, Average Loss  0.871169, Time  0.174164
2021-09-11 07:42:19.821753 : Epoch  4, Batch   1510, Loss  0.864133, Average Loss  0.871174, Time  0.170216
2021-09-11 07:42:21.426024 : Epoch  4, Batch   1511, Loss  0.844482, Average Loss  0.871102, Time  0.170233
2021-09-11 07:42:23.047788 : Epoch  4, Batch   1512, Loss  0.863915, Average Loss  0.870939, Time  0.176209
2021-09-11 07:42:24.664039 : Epoch  4, Batch   1513, Loss  0.863551, Average Loss  0.870993, Time  0.176005
2021-09-11 07:42:26.315236 : Epoch  4, Batch   1514, Loss  0.880233, Average Loss  0.871060, Time  0.228831
2021-09-11 07:42:28.045835 : Epoch  4, Batch   1515, Loss  0.884928, Average Loss  0.871202, Time  0.170267
2021-09-11 07:42:29.690998 : Epoch  4, Batch   1516, Loss  0.885168, Average Loss  0.871392, Time  0.169899
2021-09-11 07:42:31.320001 : Epoch  4, Batch   1517, Loss  0.873823, Average Loss  0.871491, Time  0.169838
2021-09-11 07:42:32.923645 : Epoch  4, Batch   1518, Loss  0.887848, Average Loss  0.871667, Time  0.169864
2021-09-11 07:42:34.533985 : Epoch  4, Batch   1519, Loss  0.873473, Average Loss  0.871510, Time  0.170306
2021-09-11 07:42:36.136769 : Epoch  4, Batch   1520, Loss  0.858099, Average Loss  0.871463, Time  0.170147
2021-09-11 07:42:37.736987 : Epoch  4, Batch   1521, Loss  0.914667, Average Loss  0.871684, Time  0.169963
2021-09-11 07:42:39.340992 : Epoch  4, Batch   1522, Loss  0.856067, Average Loss  0.871577, Time  0.169935
2021-09-11 07:42:40.963779 : Epoch  4, Batch   1523, Loss  0.874066, Average Loss  0.871699, Time  0.169621
2021-09-11 07:42:42.581803 : Epoch  4, Batch   1524, Loss  0.905430, Average Loss  0.871828, Time  0.169631
2021-09-11 07:42:44.219882 : Epoch  4, Batch   1525, Loss  0.863300, Average Loss  0.871802, Time  0.170340
2021-09-11 07:42:45.832979 : Epoch  4, Batch   1526, Loss  0.861378, Average Loss  0.871733, Time  0.169571
2021-09-11 07:42:47.432856 : Epoch  4, Batch   1527, Loss  0.871121, Average Loss  0.871750, Time  0.170107
2021-09-11 07:42:47.795884 : CheckPoint: Validation Loss  0.00029930, Best Loss  0.00029375
2021-09-11 07:42:49.045798 : Epoch  4, Batch   1528, Loss  0.848923, Average Loss  0.871685, Time  0.171837
2021-09-11 07:42:50.508581 : Epoch  3, Batch    589, Loss  0.848274, Average Loss  0.870767, Time  0.297571
2021-09-11 07:42:50.646998 : Epoch  4, Batch   1529, Loss  0.874192, Average Loss  0.871645, Time  0.169999
2021-09-11 07:42:52.247995 : Epoch  4, Batch   1530, Loss  0.876393, Average Loss  0.871592, Time  0.169738
2021-09-11 07:42:53.186110 : Epoch  3, Batch    590, Loss  0.867824, Average Loss  0.870756, Time  0.277430
2021-09-11 07:42:53.875743 : Epoch  4, Batch   1531, Loss  0.861488, Average Loss  0.871721, Time  0.169817
2021-09-11 07:42:55.486750 : Epoch  4, Batch   1532, Loss  0.863979, Average Loss  0.871505, Time  0.169819
2021-09-11 07:42:55.864275 : Epoch  3, Batch    591, Loss  0.866219, Average Loss  0.870775, Time  0.266175
2021-09-11 07:42:57.097994 : Epoch  4, Batch   1533, Loss  0.873555, Average Loss  0.871456, Time  0.169754
2021-09-11 07:42:58.536846 : Epoch  3, Batch    592, Loss  0.875402, Average Loss  0.870875, Time  0.263682
2021-09-11 07:42:58.696726 : Epoch  4, Batch   1534, Loss  0.862450, Average Loss  0.871271, Time  0.169606
2021-09-11 07:43:00.299002 : Epoch  4, Batch   1535, Loss  0.886220, Average Loss  0.871348, Time  0.169706
2021-09-11 07:43:01.217763 : Epoch  3, Batch    593, Loss  0.859340, Average Loss  0.870771, Time  0.263740
2021-09-11 07:43:01.903820 : Epoch  4, Batch   1536, Loss  0.849669, Average Loss  0.871124, Time  0.169834
2021-09-11 07:43:03.515983 : Epoch  4, Batch   1537, Loss  0.888038, Average Loss  0.871378, Time  0.169557
2021-09-11 07:43:03.901944 : Epoch  3, Batch    594, Loss  0.868189, Average Loss  0.870691, Time  0.265857
2021-09-11 07:43:05.131793 : Epoch  4, Batch   1538, Loss  0.877304, Average Loss  0.871563, Time  0.169782
2021-09-11 07:43:06.515407 : Epoch  3, Batch    595, Loss  0.869576, Average Loss  0.870541, Time  0.239619
2021-09-11 07:43:06.736001 : Epoch  4, Batch   1539, Loss  0.837328, Average Loss  0.871476, Time  0.169671
2021-09-11 07:43:08.344766 : Epoch  4, Batch   1540, Loss  0.869422, Average Loss  0.871380, Time  0.169492
2021-09-11 07:43:09.175865 : Epoch  3, Batch    596, Loss  0.876875, Average Loss  0.870606, Time  0.260345
2021-09-11 07:43:09.948799 : Epoch  4, Batch   1541, Loss  0.878566, Average Loss  0.871416, Time  0.171749
2021-09-11 07:43:11.574003 : Epoch  4, Batch   1542, Loss  0.832696, Average Loss  0.871222, Time  0.169867
2021-09-11 07:43:11.845617 : Epoch  3, Batch    597, Loss  0.890108, Average Loss  0.870612, Time  0.258783
2021-09-11 07:43:13.256408 : Epoch  4, Batch   1543, Loss  0.861323, Average Loss  0.871074, Time  0.171987
2021-09-11 07:43:14.507817 : Epoch  3, Batch    598, Loss  0.864631, Average Loss  0.870702, Time  0.241573
2021-09-11 07:43:14.894754 : Epoch  4, Batch   1544, Loss  0.884449, Average Loss  0.871108, Time  0.169683
2021-09-11 07:43:16.519003 : Epoch  4, Batch   1545, Loss  0.840132, Average Loss  0.871062, Time  0.169762
2021-09-11 07:43:17.109360 : Epoch  3, Batch    599, Loss  0.874127, Average Loss  0.870680, Time  0.242711
2021-09-11 07:43:18.129006 : Epoch  4, Batch   1546, Loss  0.876436, Average Loss  0.871051, Time  0.169789
2021-09-11 07:43:19.708758 : Epoch  3, Batch    600, Loss  0.861194, Average Loss  0.870731, Time  0.241431
2021-09-11 07:43:19.758879 : Epoch  4, Batch   1547, Loss  0.854787, Average Loss  0.871015, Time  0.169883
2021-09-11 07:43:21.360994 : Epoch  4, Batch   1548, Loss  0.877377, Average Loss  0.870955, Time  0.169754
2021-09-11 07:43:22.305458 : Epoch  3, Batch    601, Loss  0.861641, Average Loss  0.870676, Time  0.241825
2021-09-11 07:43:22.975610 : Epoch  4, Batch   1549, Loss  0.877503, Average Loss  0.871068, Time  0.169841
2021-09-11 07:43:24.564990 : Epoch  4, Batch   1550, Loss  0.880002, Average Loss  0.871090, Time  0.169487
2021-09-11 07:43:24.900398 : Epoch  3, Batch    602, Loss  0.873910, Average Loss  0.870686, Time  0.242090
2021-09-11 07:43:26.175987 : Epoch  4, Batch   1551, Loss  0.881165, Average Loss  0.870979, Time  0.169985
2021-09-11 07:43:27.491918 : Epoch  3, Batch    603, Loss  0.854694, Average Loss  0.870566, Time  0.243863
2021-09-11 07:43:27.789978 : Epoch  4, Batch   1552, Loss  0.868284, Average Loss  0.870916, Time  0.169732
2021-09-11 07:43:29.401994 : Epoch  4, Batch   1553, Loss  0.855039, Average Loss  0.870892, Time  0.169838
2021-09-11 07:43:30.087931 : Epoch  3, Batch    604, Loss  0.875587, Average Loss  0.870625, Time  0.242444
2021-09-11 07:43:31.009000 : Epoch  4, Batch   1554, Loss  0.840952, Average Loss  0.870716, Time  0.169483
2021-09-11 07:43:32.603838 : Epoch  4, Batch   1555, Loss  0.857529, Average Loss  0.870533, Time  0.170315
2021-09-11 07:43:32.680842 : Epoch  3, Batch    605, Loss  0.898100, Average Loss  0.870672, Time  0.246757
2021-09-11 07:43:34.209045 : Epoch  4, Batch   1556, Loss  0.867814, Average Loss  0.870465, Time  0.170353
2021-09-11 07:43:35.273404 : Epoch  3, Batch    606, Loss  0.871796, Average Loss  0.870622, Time  0.240360
2021-09-11 07:43:35.823024 : Epoch  4, Batch   1557, Loss  0.880252, Average Loss  0.870564, Time  0.170407
2021-09-11 07:43:37.435034 : Epoch  4, Batch   1558, Loss  0.878506, Average Loss  0.870528, Time  0.173697
2021-09-11 07:43:37.909891 : Epoch  3, Batch    607, Loss  0.883458, Average Loss  0.870659, Time  0.241689
2021-09-11 07:43:39.052021 : Epoch  4, Batch   1559, Loss  0.871463, Average Loss  0.870490, Time  0.182695
2021-09-11 07:43:40.521944 : Epoch  3, Batch    608, Loss  0.861404, Average Loss  0.870558, Time  0.254114
2021-09-11 07:43:40.711037 : Epoch  4, Batch   1560, Loss  0.875256, Average Loss  0.870453, Time  0.170144
2021-09-11 07:43:42.349031 : Epoch  4, Batch   1561, Loss  0.832075, Average Loss  0.870216, Time  0.173965
2021-09-11 07:43:43.113418 : Epoch  3, Batch    609, Loss  0.850156, Average Loss  0.870427, Time  0.240889
2021-09-11 07:43:43.967746 : Epoch  4, Batch   1562, Loss  0.875799, Average Loss  0.870220, Time  0.176825
2021-09-11 07:43:45.575853 : Epoch  4, Batch   1563, Loss  0.897777, Average Loss  0.870317, Time  0.170635
2021-09-11 07:43:45.708837 : Epoch  3, Batch    610, Loss  0.879019, Average Loss  0.870485, Time  0.240732
2021-09-11 07:43:47.196862 : Epoch  4, Batch   1564, Loss  0.873194, Average Loss  0.870457, Time  0.171058
2021-09-11 07:43:48.324393 : Epoch  3, Batch    611, Loss  0.858754, Average Loss  0.870504, Time  0.256641
2021-09-11 07:43:48.803768 : Epoch  4, Batch   1565, Loss  0.877083, Average Loss  0.870458, Time  0.181983
2021-09-11 07:43:50.408892 : Epoch  4, Batch   1566, Loss  0.874128, Average Loss  0.870572, Time  0.173167
2021-09-11 07:43:51.000499 : Epoch  3, Batch    612, Loss  0.873200, Average Loss  0.870655, Time  0.266360
2021-09-11 07:43:52.019031 : Epoch  4, Batch   1567, Loss  0.859720, Average Loss  0.870356, Time  0.179991
2021-09-11 07:43:53.668748 : Epoch  3, Batch    613, Loss  0.885535, Average Loss  0.870665, Time  0.260394
2021-09-11 07:43:56.329811 : Epoch  3, Batch    614, Loss  0.862279, Average Loss  0.870645, Time  0.260629
2021-09-11 07:43:58.995940 : Epoch  3, Batch    615, Loss  0.918068, Average Loss  0.870891, Time  0.256238
2021-09-11 07:44:01.665369 : Epoch  3, Batch    616, Loss  0.866331, Average Loss  0.870875, Time  0.263819
2021-09-11 07:44:04.331715 : Epoch  3, Batch    617, Loss  0.873926, Average Loss  0.870852, Time  0.260724
2021-09-11 07:44:06.995864 : Epoch  3, Batch    618, Loss  0.862194, Average Loss  0.870780, Time  0.259475
2021-09-11 07:44:09.663060 : Epoch  3, Batch    619, Loss  0.868618, Average Loss  0.870720, Time  0.258217
2021-09-11 07:44:12.335836 : Epoch  3, Batch    620, Loss  0.866823, Average Loss  0.870738, Time  0.259362
2021-09-11 07:44:15.008884 : Epoch  3, Batch    621, Loss  0.878928, Average Loss  0.870692, Time  0.261308
2021-09-11 07:44:17.671312 : Epoch  3, Batch    622, Loss  0.874673, Average Loss  0.870657, Time  0.262172
2021-09-11 07:44:20.337747 : Epoch  3, Batch    623, Loss  0.870884, Average Loss  0.870651, Time  0.260421
2021-09-11 07:44:23.001909 : Epoch  3, Batch    624, Loss  0.841897, Average Loss  0.870515, Time  0.259465
2021-09-11 07:44:25.669326 : Epoch  3, Batch    625, Loss  0.867412, Average Loss  0.870587, Time  0.260432
2021-09-11 07:44:28.327134 : Epoch  3, Batch    626, Loss  0.862769, Average Loss  0.870469, Time  0.261581
2021-09-11 07:44:30.995407 : Epoch  3, Batch    627, Loss  0.858116, Average Loss  0.870447, Time  0.260353
2021-09-11 07:44:33.656760 : Epoch  3, Batch    628, Loss  0.879628, Average Loss  0.870536, Time  0.257227
2021-09-11 07:44:36.319777 : Epoch  3, Batch    629, Loss  0.889076, Average Loss  0.870755, Time  0.257252
2021-09-11 07:44:38.982807 : Epoch  3, Batch    630, Loss  0.901471, Average Loss  0.870823, Time  0.257811
2021-09-11 07:44:41.644276 : Epoch  3, Batch    631, Loss  0.869726, Average Loss  0.870800, Time  0.258378
2021-09-11 07:44:44.318931 : Epoch  3, Batch    632, Loss  0.873007, Average Loss  0.870787, Time  0.263182
2021-09-11 07:44:46.983096 : Epoch  3, Batch    633, Loss  0.889471, Average Loss  0.870885, Time  0.260465
2021-09-11 07:44:49.634763 : Epoch  3, Batch    634, Loss  0.859641, Average Loss  0.870812, Time  0.242477
2021-09-11 07:44:52.258020 : Epoch  3, Batch    635, Loss  0.871958, Average Loss  0.870797, Time  0.241593
2021-09-11 07:44:54.873844 : Epoch  3, Batch    636, Loss  0.874901, Average Loss  0.870756, Time  0.239623
2021-09-11 07:44:57.481416 : Epoch  3, Batch    637, Loss  0.908114, Average Loss  0.870983, Time  0.238684
2021-09-11 07:45:00.076826 : Epoch  3, Batch    638, Loss  0.860578, Average Loss  0.870938, Time  0.238208
2021-09-11 07:45:02.694902 : Epoch  3, Batch    639, Loss  0.850646, Average Loss  0.870846, Time  0.244521
2021-09-11 07:45:05.293107 : Epoch  3, Batch    640, Loss  0.867469, Average Loss  0.870776, Time  0.250545
2021-09-11 07:45:07.896433 : Epoch  3, Batch    641, Loss  0.865510, Average Loss  0.870756, Time  0.238660
2021-09-11 07:45:10.517902 : Epoch  3, Batch    642, Loss  0.872280, Average Loss  0.870900, Time  0.241021
2021-09-11 07:45:13.113236 : Epoch  3, Batch    643, Loss  0.881735, Average Loss  0.870992, Time  0.238995
2021-09-11 07:45:15.707131 : Epoch  3, Batch    644, Loss  0.864889, Average Loss  0.871048, Time  0.240611
2021-09-11 07:45:18.324928 : Epoch  3, Batch    645, Loss  0.881361, Average Loss  0.871093, Time  0.244825
2021-09-11 07:45:20.916868 : Epoch  3, Batch    646, Loss  0.875160, Average Loss  0.871126, Time  0.241431
2021-09-11 07:45:23.517230 : Epoch  3, Batch    647, Loss  0.873019, Average Loss  0.871220, Time  0.241144
2021-09-11 07:45:26.215083 : Epoch  3, Batch    648, Loss  0.866244, Average Loss  0.871211, Time  0.261835
2021-09-11 07:45:28.838432 : Epoch  3, Batch    649, Loss  0.869736, Average Loss  0.871197, Time  0.243941
2021-09-11 07:45:31.448407 : Epoch  3, Batch    650, Loss  0.877614, Average Loss  0.871279, Time  0.241917
2021-09-11 07:45:34.050916 : Epoch  3, Batch    651, Loss  0.874906, Average Loss  0.871384, Time  0.244753
2021-09-11 07:45:36.641176 : Epoch  3, Batch    652, Loss  0.874073, Average Loss  0.871456, Time  0.240046
2021-09-11 07:45:39.235140 : Epoch  3, Batch    653, Loss  0.868022, Average Loss  0.871485, Time  0.241409
2021-09-11 07:45:41.849834 : Epoch  3, Batch    654, Loss  0.861549, Average Loss  0.871447, Time  0.243181
2021-09-11 07:45:44.442381 : Epoch  3, Batch    655, Loss  0.868894, Average Loss  0.871561, Time  0.241467
2021-09-11 07:45:47.042451 : Epoch  3, Batch    656, Loss  0.880333, Average Loss  0.871702, Time  0.244660
2021-09-11 07:45:49.624117 : Epoch  3, Batch    657, Loss  0.863869, Average Loss  0.871682, Time  0.242299
2021-09-11 07:45:52.239065 : Epoch  3, Batch    658, Loss  0.869919, Average Loss  0.871689, Time  0.239838
2021-09-11 07:45:54.852866 : Epoch  3, Batch    659, Loss  0.871352, Average Loss  0.871668, Time  0.241933
2021-09-11 07:45:57.515096 : Epoch  3, Batch    660, Loss  0.878931, Average Loss  0.871702, Time  0.259580
2021-09-11 07:46:00.142985 : Epoch  3, Batch    661, Loss  0.875114, Average Loss  0.871799, Time  0.242493
2021-09-11 07:46:02.756284 : Epoch  3, Batch    662, Loss  0.868496, Average Loss  0.871702, Time  0.240466
2021-09-11 07:46:05.371996 : Epoch  3, Batch    663, Loss  0.857534, Average Loss  0.871810, Time  0.239083
2021-09-11 07:46:07.994190 : Epoch  3, Batch    664, Loss  0.878570, Average Loss  0.871796, Time  0.240782
2021-09-11 07:46:10.677053 : Epoch  3, Batch    665, Loss  0.886181, Average Loss  0.871832, Time  0.245716
2021-09-11 07:46:13.268182 : Epoch  3, Batch    666, Loss  0.881671, Average Loss  0.871819, Time  0.242267
2021-09-11 07:46:15.864435 : Epoch  3, Batch    667, Loss  0.881830, Average Loss  0.871863, Time  0.241369
2021-09-11 07:46:18.452960 : Epoch  3, Batch    668, Loss  0.871630, Average Loss  0.871869, Time  0.243589
2021-09-11 07:46:21.030391 : Epoch  3, Batch    669, Loss  0.862553, Average Loss  0.871810, Time  0.237310
2021-09-11 07:46:23.681106 : Epoch  3, Batch    670, Loss  0.902144, Average Loss  0.871987, Time  0.241372
2021-09-11 07:46:26.278930 : Epoch  3, Batch    671, Loss  0.875026, Average Loss  0.872077, Time  0.239573
2021-09-11 07:46:28.868366 : Epoch  3, Batch    672, Loss  0.883598, Average Loss  0.872331, Time  0.243161
2021-09-11 07:46:31.483175 : Epoch  3, Batch    673, Loss  0.875574, Average Loss  0.872353, Time  0.240061
2021-09-11 07:46:34.134867 : Epoch  3, Batch    674, Loss  0.862132, Average Loss  0.872388, Time  0.261484
2021-09-11 07:46:36.803826 : Epoch  3, Batch    675, Loss  0.876348, Average Loss  0.872424, Time  0.261501
2021-09-11 07:46:39.471145 : Epoch  3, Batch    676, Loss  0.869627, Average Loss  0.872453, Time  0.258207
2021-09-11 07:46:42.149926 : Epoch  3, Batch    677, Loss  0.861353, Average Loss  0.872411, Time  0.264096
2021-09-11 07:46:44.823962 : Epoch  3, Batch    678, Loss  0.890180, Average Loss  0.872461, Time  0.260997
2021-09-11 07:46:47.493786 : Epoch  3, Batch    679, Loss  0.896770, Average Loss  0.872622, Time  0.262939
2021-09-11 07:46:50.159292 : Epoch  3, Batch    680, Loss  0.840903, Average Loss  0.872540, Time  0.258153
2021-09-11 07:46:52.848113 : Epoch  3, Batch    681, Loss  0.867540, Average Loss  0.872569, Time  0.263418
2021-09-11 07:46:55.506034 : Epoch  3, Batch    682, Loss  0.880584, Average Loss  0.872533, Time  0.258730
2021-09-11 07:46:58.177147 : Epoch  3, Batch    683, Loss  0.873125, Average Loss  0.872689, Time  0.263123
2021-09-11 07:47:00.845798 : Epoch  3, Batch    684, Loss  0.854271, Average Loss  0.872546, Time  0.259565
2021-09-11 07:47:03.513453 : Epoch  3, Batch    685, Loss  0.863282, Average Loss  0.872517, Time  0.262635
2021-09-11 07:47:06.183325 : Epoch  3, Batch    686, Loss  0.888741, Average Loss  0.872629, Time  0.259487
2021-09-11 07:47:08.863798 : Epoch  3, Batch    687, Loss  0.885910, Average Loss  0.872623, Time  0.265857
2021-09-11 07:47:11.529376 : Epoch  3, Batch    688, Loss  0.868982, Average Loss  0.872604, Time  0.258605
2021-09-11 07:48:33.377716 : CheckPoint: Validation Loss  0.00062896, Best Loss  0.00057296
2021-09-11 07:48:35.110924 : Epoch  4, Batch   1568, Loss  0.880337, Average Loss  0.870441, Time  0.240815
2021-09-11 07:48:36.744001 : Epoch  4, Batch   1569, Loss  0.866394, Average Loss  0.870455, Time  0.178374
2021-09-11 07:48:38.353810 : Epoch  4, Batch   1570, Loss  0.869426, Average Loss  0.870374, Time  0.176250
2021-09-11 07:48:39.957845 : Epoch  4, Batch   1571, Loss  0.871560, Average Loss  0.870300, Time  0.185870
2021-09-11 07:48:41.581867 : Epoch  4, Batch   1572, Loss  0.865845, Average Loss  0.870353, Time  0.171276
2021-09-11 07:48:43.182027 : Epoch  4, Batch   1573, Loss  0.876809, Average Loss  0.870381, Time  0.173438
2021-09-11 07:48:44.787803 : Epoch  4, Batch   1574, Loss  0.868419, Average Loss  0.870364, Time  0.172221
2021-09-11 07:48:46.409033 : Epoch  4, Batch   1575, Loss  0.885103, Average Loss  0.870512, Time  0.176878
2021-09-11 07:48:48.045757 : Epoch  4, Batch   1576, Loss  0.879873, Average Loss  0.870510, Time  0.184043
2021-09-11 07:48:49.674825 : Epoch  4, Batch   1577, Loss  0.862266, Average Loss  0.870375, Time  0.176960
2021-09-11 07:48:51.273030 : Epoch  4, Batch   1578, Loss  0.875367, Average Loss  0.870514, Time  0.170110
2021-09-11 07:48:52.878033 : Epoch  4, Batch   1579, Loss  0.875814, Average Loss  0.870651, Time  0.173894
2021-09-11 07:48:54.488021 : Epoch  4, Batch   1580, Loss  0.885555, Average Loss  0.870630, Time  0.175243
2021-09-11 07:48:56.092798 : Epoch  4, Batch   1581, Loss  0.867051, Average Loss  0.870593, Time  0.182169
2021-09-11 07:48:57.693023 : Epoch  4, Batch   1582, Loss  0.844707, Average Loss  0.870382, Time  0.171990
2021-09-11 07:48:59.299034 : Epoch  4, Batch   1583, Loss  0.862626, Average Loss  0.870498, Time  0.171407
2021-09-11 07:49:00.915797 : Epoch  4, Batch   1584, Loss  0.889267, Average Loss  0.870584, Time  0.172557
2021-09-11 07:49:02.543037 : Epoch  4, Batch   1585, Loss  0.847965, Average Loss  0.870513, Time  0.180137
2021-09-11 07:49:04.159028 : Epoch  4, Batch   1586, Loss  0.845190, Average Loss  0.870374, Time  0.175343
2021-09-11 07:49:05.748036 : Epoch  4, Batch   1587, Loss  0.905067, Average Loss  0.870565, Time  0.170393
2021-09-11 07:49:07.369034 : Epoch  4, Batch   1588, Loss  0.863994, Average Loss  0.870508, Time  0.170409
2021-09-11 07:49:08.994027 : Epoch  4, Batch   1589, Loss  0.886678, Average Loss  0.870535, Time  0.174854
2021-09-11 07:49:10.613026 : Epoch  4, Batch   1590, Loss  0.866348, Average Loss  0.870552, Time  0.169879
2021-09-11 07:49:12.244024 : Epoch  4, Batch   1591, Loss  0.840288, Average Loss  0.870284, Time  0.177977
2021-09-11 07:49:13.896077 : Epoch  4, Batch   1592, Loss  0.863628, Average Loss  0.870308, Time  0.175417
2021-09-11 07:49:15.529051 : Epoch  4, Batch   1593, Loss  0.896642, Average Loss  0.870497, Time  0.171095
2021-09-11 07:49:17.159025 : Epoch  4, Batch   1594, Loss  0.871374, Average Loss  0.870367, Time  0.182250
2021-09-11 07:49:18.798039 : Epoch  4, Batch   1595, Loss  0.888530, Average Loss  0.870556, Time  0.171746
2021-09-11 07:49:20.420033 : Epoch  4, Batch   1596, Loss  0.891077, Average Loss  0.870692, Time  0.169891
2021-09-11 07:49:22.010027 : Epoch  4, Batch   1597, Loss  0.863020, Average Loss  0.870712, Time  0.170533
2021-09-11 07:49:23.600769 : Epoch  4, Batch   1598, Loss  0.866027, Average Loss  0.870811, Time  0.170135
2021-09-11 07:49:25.401752 : Epoch  4, Batch   1599, Loss  0.861112, Average Loss  0.870784, Time  0.170138
2021-09-11 07:49:27.010027 : Epoch  4, Batch   1600, Loss  0.851107, Average Loss  0.870763, Time  0.172363
2021-09-11 07:49:28.626032 : Epoch  4, Batch   1601, Loss  0.869021, Average Loss  0.870768, Time  0.169958
2021-09-11 07:49:30.261025 : Epoch  4, Batch   1602, Loss  0.853494, Average Loss  0.870780, Time  0.174744
2021-09-11 07:49:31.883917 : Epoch  4, Batch   1603, Loss  0.853312, Average Loss  0.870686, Time  0.178167
2021-09-11 07:49:33.534833 : Epoch  4, Batch   1604, Loss  0.898004, Average Loss  0.870972, Time  0.170298
2021-09-11 07:49:35.159770 : Epoch  4, Batch   1605, Loss  0.857295, Average Loss  0.870914, Time  0.170314
2021-09-11 07:49:36.747561 : Epoch  4, Batch   1606, Loss  0.882316, Average Loss  0.870971, Time  0.170135
2021-09-11 07:49:38.344030 : Epoch  4, Batch   1607, Loss  0.855826, Average Loss  0.870957, Time  0.189893
2021-09-11 07:49:39.965028 : Epoch  4, Batch   1608, Loss  0.886487, Average Loss  0.870843, Time  0.174566
2021-09-11 07:49:41.573828 : Epoch  4, Batch   1609, Loss  0.881455, Average Loss  0.870924, Time  0.170912
2021-09-11 07:49:43.178038 : Epoch  4, Batch   1610, Loss  0.881790, Average Loss  0.870872, Time  0.169867
2021-09-11 07:49:44.786034 : Epoch  4, Batch   1611, Loss  0.868379, Average Loss  0.870947, Time  0.175969
2021-09-11 07:49:46.390030 : Epoch  4, Batch   1612, Loss  0.853663, Average Loss  0.870784, Time  0.170075
2021-09-11 07:49:47.981034 : Epoch  4, Batch   1613, Loss  0.873284, Average Loss  0.870770, Time  0.171422
2021-09-11 07:49:49.587016 : Epoch  4, Batch   1614, Loss  0.897671, Average Loss  0.870933, Time  0.180308
2021-09-11 07:49:51.210029 : Epoch  4, Batch   1615, Loss  0.883198, Average Loss  0.870972, Time  0.173085
2021-09-11 07:49:52.824940 : Epoch  4, Batch   1616, Loss  0.883564, Average Loss  0.870884, Time  0.170128
2021-09-11 07:49:54.438783 : Epoch  4, Batch   1617, Loss  0.860924, Average Loss  0.870950, Time  0.171712
2021-09-11 07:49:56.048019 : Epoch  4, Batch   1618, Loss  0.851553, Average Loss  0.870921, Time  0.170055
2021-09-11 07:49:57.650769 : Epoch  4, Batch   1619, Loss  0.843943, Average Loss  0.870874, Time  0.172102
2021-09-11 07:49:59.254032 : Epoch  4, Batch   1620, Loss  0.871327, Average Loss  0.870849, Time  0.171564
2021-09-11 07:50:00.845097 : Epoch  4, Batch   1621, Loss  0.862922, Average Loss  0.870722, Time  0.170770
2021-09-11 07:50:02.433840 : Epoch  4, Batch   1622, Loss  0.912227, Average Loss  0.870894, Time  0.174434
2021-09-11 07:50:04.034037 : Epoch  4, Batch   1623, Loss  0.871107, Average Loss  0.870808, Time  0.173873
2021-09-11 07:50:05.650847 : Epoch  4, Batch   1624, Loss  0.853326, Average Loss  0.870792, Time  0.170146
2021-09-11 07:50:07.281061 : Epoch  4, Batch   1625, Loss  0.869311, Average Loss  0.870772, Time  0.170443
2021-09-11 07:50:08.892882 : Epoch  4, Batch   1626, Loss  0.862247, Average Loss  0.870646, Time  0.175739
2021-09-11 07:50:10.521116 : Epoch  4, Batch   1627, Loss  0.864044, Average Loss  0.870571, Time  0.181059
2021-09-11 07:50:12.136863 : Epoch  4, Batch   1628, Loss  0.873944, Average Loss  0.870506, Time  0.179324
2021-09-11 07:50:13.771053 : Epoch  4, Batch   1629, Loss  0.886421, Average Loss  0.870560, Time  0.173288
2021-09-11 07:50:15.375129 : Epoch  4, Batch   1630, Loss  0.828939, Average Loss  0.870271, Time  0.170173
2021-09-11 07:50:16.962935 : Epoch  4, Batch   1631, Loss  0.863530, Average Loss  0.870232, Time  0.171669
2021-09-11 07:50:18.582836 : Epoch  4, Batch   1632, Loss  0.848490, Average Loss  0.870194, Time  0.170522
2021-09-11 07:50:20.196760 : Epoch  4, Batch   1633, Loss  0.852164, Average Loss  0.870153, Time  0.177461
2021-09-11 07:50:21.833938 : Epoch  4, Batch   1634, Loss  0.895917, Average Loss  0.870154, Time  0.178038
2021-09-11 07:50:23.444790 : Epoch  4, Batch   1635, Loss  0.864343, Average Loss  0.870067, Time  0.178014
2021-09-11 07:50:25.054886 : Epoch  4, Batch   1636, Loss  0.851771, Average Loss  0.869990, Time  0.174873
2021-09-11 07:50:26.668737 : Epoch  4, Batch   1637, Loss  0.909671, Average Loss  0.870277, Time  0.170335
2021-09-11 07:50:28.276725 : Epoch  4, Batch   1638, Loss  0.884359, Average Loss  0.870283, Time  0.169856
2021-09-11 07:50:29.930029 : Epoch  4, Batch   1639, Loss  0.853496, Average Loss  0.870070, Time  0.177516
2021-09-11 07:50:31.574030 : Epoch  4, Batch   1640, Loss  0.883766, Average Loss  0.870265, Time  0.175492
2021-09-11 07:50:33.183922 : Epoch  4, Batch   1641, Loss  0.836429, Average Loss  0.870140, Time  0.171905
2021-09-11 07:50:34.798791 : Epoch  4, Batch   1642, Loss  0.859896, Average Loss  0.870001, Time  0.170781
2021-09-11 07:50:36.417035 : Epoch  4, Batch   1643, Loss  0.868346, Average Loss  0.869915, Time  0.176901
2021-09-11 07:50:38.040930 : Epoch  4, Batch   1644, Loss  0.859048, Average Loss  0.869743, Time  0.170768
2021-09-11 07:50:39.650764 : Epoch  4, Batch   1645, Loss  0.882845, Average Loss  0.869756, Time  0.172354
2021-09-11 07:50:41.226025 : Epoch  4, Batch   1646, Loss  0.851905, Average Loss  0.869506, Time  0.173214
2021-09-11 07:50:42.821869 : Epoch  4, Batch   1647, Loss  0.869766, Average Loss  0.869476, Time  0.175519
2021-09-11 07:50:44.423061 : Epoch  4, Batch   1648, Loss  0.844125, Average Loss  0.869404, Time  0.170170
2021-09-11 07:50:46.027801 : Epoch  4, Batch   1649, Loss  0.862480, Average Loss  0.869515, Time  0.170158
2021-09-11 07:50:47.653938 : Epoch  4, Batch   1650, Loss  0.858036, Average Loss  0.869386, Time  0.179176
2021-09-11 07:50:49.254072 : Epoch  4, Batch   1651, Loss  0.908828, Average Loss  0.869573, Time  0.169898
2021-09-11 07:50:50.854745 : Epoch  4, Batch   1652, Loss  0.866579, Average Loss  0.869486, Time  0.170692
2021-09-11 07:50:52.502064 : Epoch  4, Batch   1653, Loss  0.868401, Average Loss  0.869488, Time  0.184853
2021-09-11 07:50:54.137867 : Epoch  4, Batch   1654, Loss  0.854232, Average Loss  0.869292, Time  0.183015
2021-09-11 07:50:55.771798 : Epoch  4, Batch   1655, Loss  0.892278, Average Loss  0.869457, Time  0.175181
2021-09-11 07:50:57.390763 : Epoch  4, Batch   1656, Loss  0.852286, Average Loss  0.869528, Time  0.177080
2021-09-11 07:50:58.996832 : Epoch  4, Batch   1657, Loss  0.881741, Average Loss  0.869563, Time  0.170820
2021-09-11 07:51:00.615032 : Epoch  4, Batch   1658, Loss  0.880638, Average Loss  0.869692, Time  0.173338
2021-09-11 07:51:02.236049 : Epoch  4, Batch   1659, Loss  0.865223, Average Loss  0.869754, Time  0.175232
2021-09-11 07:51:03.864043 : Epoch  4, Batch   1660, Loss  0.855629, Average Loss  0.869752, Time  0.181916
2021-09-11 07:51:05.482056 : Epoch  4, Batch   1661, Loss  0.872269, Average Loss  0.869793, Time  0.170796
2021-09-11 07:51:07.104755 : Epoch  4, Batch   1662, Loss  0.882885, Average Loss  0.869822, Time  0.178433
2021-09-11 07:51:08.715397 : Epoch  4, Batch   1663, Loss  0.863337, Average Loss  0.869739, Time  0.175085
2021-09-11 07:51:10.337765 : Epoch  4, Batch   1664, Loss  0.880341, Average Loss  0.869753, Time  0.170467
2021-09-11 07:51:11.966075 : Epoch  4, Batch   1665, Loss  0.847354, Average Loss  0.869690, Time  0.173290
2021-09-11 07:51:13.617778 : Epoch  4, Batch   1666, Loss  0.845370, Average Loss  0.869569, Time  0.172247
2021-09-11 07:51:14.739708 : CheckPoint: Validation Loss  0.00030406, Best Loss  0.00029375
2021-09-11 07:51:15.243906 : Epoch  4, Batch   1667, Loss  0.890595, Average Loss  0.869629, Time  0.171700
2021-09-11 07:51:17.370606 : Epoch  3, Batch    689, Loss  0.848944, Average Loss  0.872498, Time  0.272263
2021-09-11 07:51:20.060959 : Epoch  3, Batch    690, Loss  0.865291, Average Loss  0.872430, Time  0.265676
2021-09-11 07:51:22.748442 : Epoch  3, Batch    691, Loss  0.857086, Average Loss  0.872372, Time  0.261815
2021-09-11 07:51:25.339929 : Epoch  3, Batch    692, Loss  0.853525, Average Loss  0.872179, Time  0.241673
2021-09-11 07:51:27.935784 : Epoch  3, Batch    693, Loss  0.843808, Average Loss  0.872028, Time  0.242210
2021-09-11 07:51:30.533394 : Epoch  3, Batch    694, Loss  0.873116, Average Loss  0.872042, Time  0.241261
2021-09-11 07:51:33.125873 : Epoch  3, Batch    695, Loss  0.905256, Average Loss  0.872110, Time  0.242131
2021-09-11 07:51:35.819798 : Epoch  3, Batch    696, Loss  0.887226, Average Loss  0.872189, Time  0.261709
2021-09-11 07:51:38.506401 : Epoch  3, Batch    697, Loss  0.867987, Average Loss  0.872208, Time  0.263337
2021-09-11 07:51:41.185763 : Epoch  3, Batch    698, Loss  0.861273, Average Loss  0.872121, Time  0.261031
2021-09-11 07:51:43.864776 : Epoch  3, Batch    699, Loss  0.886323, Average Loss  0.872220, Time  0.258592
2021-09-11 07:51:46.554425 : Epoch  3, Batch    700, Loss  0.877759, Average Loss  0.872193, Time  0.262176
2021-09-11 07:51:49.252453 : Epoch  3, Batch    701, Loss  0.874980, Average Loss  0.872225, Time  0.261943
2021-09-11 07:51:51.944914 : Epoch  3, Batch    702, Loss  0.879202, Average Loss  0.872179, Time  0.264632
2021-09-11 07:51:54.628837 : Epoch  3, Batch    703, Loss  0.857001, Average Loss  0.872028, Time  0.260214
2021-09-11 07:51:57.307777 : Epoch  3, Batch    704, Loss  0.860160, Average Loss  0.872034, Time  0.261364
2021-09-11 07:51:59.972886 : Epoch  3, Batch    705, Loss  0.879706, Average Loss  0.872063, Time  0.257864
2021-09-11 07:52:02.625823 : Epoch  3, Batch    706, Loss  0.861321, Average Loss  0.872040, Time  0.237732
2021-09-11 07:52:05.258559 : Epoch  3, Batch    707, Loss  0.874074, Average Loss  0.872062, Time  0.243661
2021-09-11 07:52:07.901908 : Epoch  3, Batch    708, Loss  0.839485, Average Loss  0.871951, Time  0.240708
2021-09-11 07:52:10.508794 : Epoch  3, Batch    709, Loss  0.883565, Average Loss  0.871915, Time  0.243100
2021-09-11 07:52:13.106420 : Epoch  3, Batch    710, Loss  0.895734, Average Loss  0.871949, Time  0.241041
2021-09-11 07:52:15.701785 : Epoch  3, Batch    711, Loss  0.900363, Average Loss  0.872001, Time  0.242447
2021-09-11 07:52:18.282015 : Epoch  3, Batch    712, Loss  0.873579, Average Loss  0.872034, Time  0.242325
2021-09-11 07:52:20.864996 : Epoch  3, Batch    713, Loss  0.863456, Average Loss  0.872083, Time  0.240674
2021-09-11 07:52:23.440984 : Epoch  3, Batch    714, Loss  0.865391, Average Loss  0.872070, Time  0.239788
2021-09-11 07:52:26.040015 : Epoch  3, Batch    715, Loss  0.871512, Average Loss  0.872150, Time  0.241047
2021-09-11 07:52:28.729825 : Epoch  3, Batch    716, Loss  0.885259, Average Loss  0.872149, Time  0.263338
2021-09-11 07:52:31.402887 : Epoch  3, Batch    717, Loss  0.870734, Average Loss  0.872137, Time  0.264114
2021-09-11 07:52:34.072831 : Epoch  3, Batch    718, Loss  0.867826, Average Loss  0.872087, Time  0.260374
2021-09-11 07:52:36.753821 : Epoch  3, Batch    719, Loss  0.850709, Average Loss  0.872042, Time  0.259870
2021-09-11 07:52:39.430810 : Epoch  3, Batch    720, Loss  0.852535, Average Loss  0.871954, Time  0.259700
2021-09-11 07:52:42.114254 : Epoch  3, Batch    721, Loss  0.879899, Average Loss  0.871864, Time  0.242321
2021-09-11 07:52:44.725099 : Epoch  3, Batch    722, Loss  0.866091, Average Loss  0.871880, Time  0.241761
2021-09-11 07:52:47.352715 : Epoch  3, Batch    723, Loss  0.867476, Average Loss  0.871896, Time  0.240325
2021-09-11 07:52:49.980029 : Epoch  3, Batch    724, Loss  0.892305, Average Loss  0.871940, Time  0.241708
2021-09-11 07:52:52.610774 : Epoch  3, Batch    725, Loss  0.866889, Average Loss  0.872059, Time  0.244717
2021-09-11 07:52:55.248256 : Epoch  3, Batch    726, Loss  0.853249, Average Loss  0.871995, Time  0.239700
2021-09-11 07:52:57.863057 : Epoch  3, Batch    727, Loss  0.855474, Average Loss  0.871906, Time  0.240381
2021-09-11 07:53:00.480448 : Epoch  3, Batch    728, Loss  0.868277, Average Loss  0.871753, Time  0.241341
2021-09-11 07:53:03.098325 : Epoch  3, Batch    729, Loss  0.855442, Average Loss  0.871637, Time  0.240462
2021-09-11 07:53:05.692295 : Epoch  3, Batch    730, Loss  0.863694, Average Loss  0.871672, Time  0.241532
2021-09-11 07:53:08.286381 : Epoch  3, Batch    731, Loss  0.889841, Average Loss  0.871761, Time  0.241496
2021-09-11 07:53:10.879355 : Epoch  3, Batch    732, Loss  0.868185, Average Loss  0.871776, Time  0.242207
2021-09-11 07:53:13.476883 : Epoch  3, Batch    733, Loss  0.887916, Average Loss  0.871979, Time  0.241528
2021-09-11 07:53:16.067729 : Epoch  3, Batch    734, Loss  0.879734, Average Loss  0.871987, Time  0.242050
2021-09-11 07:53:18.661508 : Epoch  3, Batch    735, Loss  0.857265, Average Loss  0.871834, Time  0.245138
2021-09-11 07:53:21.245426 : Epoch  3, Batch    736, Loss  0.883122, Average Loss  0.871863, Time  0.241551
2021-09-11 07:53:23.845343 : Epoch  3, Batch    737, Loss  0.853375, Average Loss  0.871782, Time  0.240686
2021-09-11 07:53:26.426742 : Epoch  3, Batch    738, Loss  0.859052, Average Loss  0.871735, Time  0.242424
2021-09-11 07:53:29.006378 : Epoch  3, Batch    739, Loss  0.870234, Average Loss  0.871711, Time  0.241807
2021-09-11 07:53:31.599313 : Epoch  3, Batch    740, Loss  0.884316, Average Loss  0.871811, Time  0.245421
2021-09-11 07:53:34.184392 : Epoch  3, Batch    741, Loss  0.868470, Average Loss  0.871784, Time  0.239098
2021-09-11 07:53:36.769387 : Epoch  3, Batch    742, Loss  0.869271, Average Loss  0.871693, Time  0.241132
2021-09-11 07:53:39.360405 : Epoch  3, Batch    743, Loss  0.866089, Average Loss  0.871671, Time  0.240937
2021-09-11 07:53:41.949366 : Epoch  3, Batch    744, Loss  0.880587, Average Loss  0.871716, Time  0.241964
2021-09-11 07:53:44.540777 : Epoch  3, Batch    745, Loss  0.876242, Average Loss  0.871625, Time  0.243240
2021-09-11 07:53:47.144068 : Epoch  3, Batch    746, Loss  0.878930, Average Loss  0.871713, Time  0.243021
2021-09-11 07:53:49.732916 : Epoch  3, Batch    747, Loss  0.870622, Average Loss  0.871711, Time  0.242103
2021-09-11 07:53:52.339732 : Epoch  3, Batch    748, Loss  0.874669, Average Loss  0.871680, Time  0.239588
2021-09-11 07:53:54.922993 : Epoch  3, Batch    749, Loss  0.865125, Average Loss  0.871704, Time  0.239739
2021-09-11 07:53:57.539457 : Epoch  3, Batch    750, Loss  0.879449, Average Loss  0.871709, Time  0.241767
2021-09-11 07:54:00.143902 : Epoch  3, Batch    751, Loss  0.874769, Average Loss  0.871732, Time  0.242480
2021-09-11 07:54:02.739391 : Epoch  3, Batch    752, Loss  0.868061, Average Loss  0.871725, Time  0.241862
2021-09-11 07:54:05.329751 : Epoch  3, Batch    753, Loss  0.856310, Average Loss  0.871553, Time  0.238487
2021-09-11 07:54:07.922638 : Epoch  3, Batch    754, Loss  0.859770, Average Loss  0.871475, Time  0.241179
2021-09-11 07:54:10.515780 : Epoch  3, Batch    755, Loss  0.852274, Average Loss  0.871272, Time  0.240826
2021-09-11 07:54:13.149305 : Epoch  3, Batch    756, Loss  0.871825, Average Loss  0.871323, Time  0.240400
2021-09-11 07:54:15.757556 : Epoch  3, Batch    757, Loss  0.880839, Average Loss  0.871354, Time  0.245998
2021-09-11 07:54:18.360403 : Epoch  3, Batch    758, Loss  0.881307, Average Loss  0.871356, Time  0.247454
2021-09-11 07:54:20.946986 : Epoch  3, Batch    759, Loss  0.852845, Average Loss  0.871210, Time  0.240149
2021-09-11 07:54:23.538121 : Epoch  3, Batch    760, Loss  0.869599, Average Loss  0.871276, Time  0.239558
2021-09-11 07:54:26.133011 : Epoch  3, Batch    761, Loss  0.862365, Average Loss  0.871374, Time  0.240515
2021-09-11 07:54:28.728832 : Epoch  3, Batch    762, Loss  0.865082, Average Loss  0.871421, Time  0.243670
2021-09-11 07:54:31.317770 : Epoch  3, Batch    763, Loss  0.881149, Average Loss  0.871511, Time  0.242250
2021-09-11 07:54:33.898907 : Epoch  3, Batch    764, Loss  0.855106, Average Loss  0.871387, Time  0.242221
2021-09-11 07:54:36.484800 : Epoch  3, Batch    765, Loss  0.859655, Average Loss  0.871394, Time  0.240873
2021-09-11 07:54:39.114957 : Epoch  3, Batch    766, Loss  0.870689, Average Loss  0.871280, Time  0.243929
2021-09-11 07:54:41.708991 : Epoch  3, Batch    767, Loss  0.865425, Average Loss  0.871236, Time  0.239309
2021-09-11 07:54:44.310880 : Epoch  3, Batch    768, Loss  0.862235, Average Loss  0.871186, Time  0.241384
2021-09-11 07:54:46.902411 : Epoch  3, Batch    769, Loss  0.866175, Average Loss  0.871177, Time  0.242281
2021-09-11 07:54:49.514871 : Epoch  3, Batch    770, Loss  0.858828, Average Loss  0.871141, Time  0.242623
2021-09-11 07:54:52.130147 : Epoch  3, Batch    771, Loss  0.869157, Average Loss  0.871094, Time  0.241504
2021-09-11 07:54:54.751082 : Epoch  3, Batch    772, Loss  0.842281, Average Loss  0.870823, Time  0.243949
2021-09-11 07:54:57.338356 : Epoch  3, Batch    773, Loss  0.858083, Average Loss  0.870833, Time  0.241097
2021-09-11 07:54:59.931106 : Epoch  3, Batch    774, Loss  0.875380, Average Loss  0.870810, Time  0.243507
2021-09-11 07:55:02.527281 : Epoch  3, Batch    775, Loss  0.869948, Average Loss  0.870905, Time  0.238869
2021-09-11 07:55:05.107866 : Epoch  3, Batch    776, Loss  0.861663, Average Loss  0.870883, Time  0.241172
2021-09-11 07:55:07.699834 : Epoch  3, Batch    777, Loss  0.893716, Average Loss  0.871000, Time  0.241197
2021-09-11 07:55:10.291300 : Epoch  3, Batch    778, Loss  0.863917, Average Loss  0.870949, Time  0.241692
2021-09-11 07:55:12.879350 : Epoch  3, Batch    779, Loss  0.883190, Average Loss  0.870920, Time  0.241863
2021-09-11 07:55:15.466751 : Epoch  3, Batch    780, Loss  0.874987, Average Loss  0.870847, Time  0.240194
2021-09-11 07:55:18.064186 : Epoch  3, Batch    781, Loss  0.852333, Average Loss  0.870736, Time  0.242308
2021-09-11 07:55:20.656078 : Epoch  3, Batch    782, Loss  0.876816, Average Loss  0.870755, Time  0.239055
2021-09-11 07:55:23.283852 : Epoch  3, Batch    783, Loss  0.870286, Average Loss  0.870753, Time  0.255463
2021-09-11 07:55:25.875760 : Epoch  3, Batch    784, Loss  0.836145, Average Loss  0.870616, Time  0.241870
2021-09-11 07:55:28.464841 : Epoch  3, Batch    785, Loss  0.882357, Average Loss  0.870743, Time  0.242388
2021-09-11 07:55:31.051807 : Epoch  3, Batch    786, Loss  0.856685, Average Loss  0.870669, Time  0.241883
2021-09-11 07:55:33.691178 : Epoch  3, Batch    787, Loss  0.883377, Average Loss  0.870746, Time  0.245369
2021-09-11 07:55:36.308026 : Epoch  3, Batch    788, Loss  0.864958, Average Loss  0.870659, Time  0.240938
2021-09-11 07:55:57.279715 : CheckPoint: Validation Loss  0.00060969, Best Loss  0.00057296
2021-09-11 07:55:58.885872 : Epoch  4, Batch   1668, Loss  0.855056, Average Loss  0.869787, Time  0.178346
2021-09-11 07:56:00.493009 : Epoch  4, Batch   1669, Loss  0.851789, Average Loss  0.869883, Time  0.177769
2021-09-11 07:56:02.083045 : Epoch  4, Batch   1670, Loss  0.851509, Average Loss  0.869876, Time  0.175122
2021-09-11 07:56:03.699049 : Epoch  4, Batch   1671, Loss  0.868468, Average Loss  0.869739, Time  0.175870
2021-09-11 07:56:05.297029 : Epoch  4, Batch   1672, Loss  0.849507, Average Loss  0.869617, Time  0.174106
2021-09-11 07:56:06.897026 : Epoch  4, Batch   1673, Loss  0.902684, Average Loss  0.869861, Time  0.171059
2021-09-11 07:56:08.508830 : Epoch  4, Batch   1674, Loss  0.857050, Average Loss  0.869823, Time  0.169796
2021-09-11 07:56:10.108003 : Epoch  4, Batch   1675, Loss  0.848386, Average Loss  0.869503, Time  0.169867
2021-09-11 07:56:11.712995 : Epoch  4, Batch   1676, Loss  0.866372, Average Loss  0.869414, Time  0.169710
2021-09-11 07:56:13.324980 : Epoch  4, Batch   1677, Loss  0.852377, Average Loss  0.869398, Time  0.170015
2021-09-11 07:56:14.927998 : Epoch  4, Batch   1678, Loss  0.883371, Average Loss  0.869414, Time  0.170107
2021-09-11 07:56:16.523983 : Epoch  4, Batch   1679, Loss  0.868066, Average Loss  0.869496, Time  0.169697
2021-09-11 07:56:18.144006 : Epoch  4, Batch   1680, Loss  0.900418, Average Loss  0.869607, Time  0.170054
2021-09-11 07:56:19.740854 : Epoch  4, Batch   1681, Loss  0.838170, Average Loss  0.869484, Time  0.169857
2021-09-11 07:56:21.354001 : Epoch  4, Batch   1682, Loss  0.864361, Average Loss  0.869511, Time  0.169799
2021-09-11 07:56:22.963000 : Epoch  4, Batch   1683, Loss  0.885619, Average Loss  0.869626, Time  0.169799
2021-09-11 07:56:24.573004 : Epoch  4, Batch   1684, Loss  0.874619, Average Loss  0.869569, Time  0.169939
2021-09-11 07:56:26.186852 : Epoch  4, Batch   1685, Loss  0.902737, Average Loss  0.869662, Time  0.169733
2021-09-11 07:56:27.786733 : Epoch  4, Batch   1686, Loss  0.856359, Average Loss  0.869736, Time  0.169902
2021-09-11 07:56:29.380998 : Epoch  4, Batch   1687, Loss  0.888507, Average Loss  0.869717, Time  0.169673
2021-09-11 07:56:30.993008 : Epoch  4, Batch   1688, Loss  0.859734, Average Loss  0.869746, Time  0.169814
2021-09-11 07:56:32.602746 : Epoch  4, Batch   1689, Loss  0.873646, Average Loss  0.869887, Time  0.169825
2021-09-11 07:56:34.213765 : Epoch  4, Batch   1690, Loss  0.853343, Average Loss  0.869809, Time  0.169509
2021-09-11 07:56:35.833760 : Epoch  4, Batch   1691, Loss  0.889685, Average Loss  0.869889, Time  0.169765
2021-09-11 07:56:37.494998 : Epoch  4, Batch   1692, Loss  0.859870, Average Loss  0.869737, Time  0.169662
2021-09-11 07:56:39.117794 : Epoch  4, Batch   1693, Loss  0.871618, Average Loss  0.869664, Time  0.169861
2021-09-11 07:56:40.723017 : Epoch  4, Batch   1694, Loss  0.880702, Average Loss  0.869897, Time  0.169755
2021-09-11 07:56:42.340002 : Epoch  4, Batch   1695, Loss  0.872724, Average Loss  0.869857, Time  0.169934
2021-09-11 07:56:43.953753 : Epoch  4, Batch   1696, Loss  0.882427, Average Loss  0.869829, Time  0.169961
2021-09-11 07:56:45.561816 : Epoch  4, Batch   1697, Loss  0.876153, Average Loss  0.869800, Time  0.169929
2021-09-11 07:56:47.167982 : Epoch  4, Batch   1698, Loss  0.865849, Average Loss  0.869689, Time  0.169438
2021-09-11 07:56:48.774996 : Epoch  4, Batch   1699, Loss  0.866813, Average Loss  0.869654, Time  0.169782
2021-09-11 07:56:50.391996 : Epoch  4, Batch   1700, Loss  0.854037, Average Loss  0.869601, Time  0.169380
2021-09-11 07:56:51.996000 : Epoch  4, Batch   1701, Loss  0.862170, Average Loss  0.869530, Time  0.169639
2021-09-11 07:56:53.594007 : Epoch  4, Batch   1702, Loss  0.841295, Average Loss  0.869444, Time  0.169647
2021-09-11 07:56:55.176080 : Epoch  4, Batch   1703, Loss  0.863629, Average Loss  0.869281, Time  0.169624
2021-09-11 07:56:56.819743 : Epoch  4, Batch   1704, Loss  0.868802, Average Loss  0.869161, Time  0.176477
2021-09-11 07:56:58.464034 : Epoch  4, Batch   1705, Loss  0.864616, Average Loss  0.869194, Time  0.171878
2021-09-11 07:57:00.072026 : Epoch  4, Batch   1706, Loss  0.880168, Average Loss  0.869123, Time  0.170857
2021-09-11 07:57:01.685031 : Epoch  4, Batch   1707, Loss  0.875320, Average Loss  0.869117, Time  0.178116
2021-09-11 07:57:03.284032 : Epoch  4, Batch   1708, Loss  0.857123, Average Loss  0.869019, Time  0.172777
2021-09-11 07:57:04.888928 : Epoch  4, Batch   1709, Loss  0.866373, Average Loss  0.869047, Time  0.175312
2021-09-11 07:57:06.484856 : Epoch  4, Batch   1710, Loss  0.846070, Average Loss  0.868956, Time  0.171293
2021-09-11 07:57:08.120054 : Epoch  4, Batch   1711, Loss  0.835391, Average Loss  0.868911, Time  0.179461
2021-09-11 07:57:09.724048 : Epoch  4, Batch   1712, Loss  0.849847, Average Loss  0.868840, Time  0.174001
2021-09-11 07:57:11.341772 : Epoch  4, Batch   1713, Loss  0.857918, Average Loss  0.868812, Time  0.172989
2021-09-11 07:57:12.969019 : Epoch  4, Batch   1714, Loss  0.825547, Average Loss  0.868539, Time  0.190947
2021-09-11 07:57:14.553950 : Epoch  4, Batch   1715, Loss  0.839273, Average Loss  0.868311, Time  0.170735
2021-09-11 07:57:16.138780 : Epoch  4, Batch   1716, Loss  0.861698, Average Loss  0.868193, Time  0.182001
2021-09-11 07:57:17.816051 : Epoch  4, Batch   1717, Loss  0.859826, Average Loss  0.868123, Time  0.170873
2021-09-11 07:57:19.406780 : Epoch  4, Batch   1718, Loss  0.893122, Average Loss  0.868150, Time  0.170272
2021-09-11 07:57:20.982861 : Epoch  4, Batch   1719, Loss  0.892308, Average Loss  0.868244, Time  0.170458
2021-09-11 07:57:22.563842 : Epoch  4, Batch   1720, Loss  0.818401, Average Loss  0.868045, Time  0.170953
2021-09-11 07:57:24.166647 : Epoch  4, Batch   1721, Loss  0.879878, Average Loss  0.867871, Time  0.169968
2021-09-11 07:57:25.768036 : Epoch  4, Batch   1722, Loss  0.900076, Average Loss  0.868091, Time  0.172254
2021-09-11 07:57:27.386039 : Epoch  4, Batch   1723, Loss  0.867321, Average Loss  0.868058, Time  0.169994
2021-09-11 07:57:28.997783 : Epoch  4, Batch   1724, Loss  0.867213, Average Loss  0.867867, Time  0.171647
2021-09-11 07:57:30.595827 : Epoch  4, Batch   1725, Loss  0.848779, Average Loss  0.867794, Time  0.170628
2021-09-11 07:57:32.195737 : Epoch  4, Batch   1726, Loss  0.873721, Average Loss  0.867856, Time  0.170825
2021-09-11 07:57:33.790273 : Epoch  4, Batch   1727, Loss  0.863550, Average Loss  0.867818, Time  0.169912
2021-09-11 07:57:35.373812 : Epoch  4, Batch   1728, Loss  0.891868, Average Loss  0.868033, Time  0.174006
2021-09-11 07:57:37.000982 : Epoch  4, Batch   1729, Loss  0.862096, Average Loss  0.867972, Time  0.169845
2021-09-11 07:57:38.642879 : Epoch  4, Batch   1730, Loss  0.847677, Average Loss  0.867828, Time  0.169699
2021-09-11 07:57:40.247997 : Epoch  4, Batch   1731, Loss  0.853577, Average Loss  0.867789, Time  0.169680
2021-09-11 07:57:41.851786 : Epoch  4, Batch   1732, Loss  0.890354, Average Loss  0.867921, Time  0.170344
2021-09-11 07:57:43.470035 : Epoch  4, Batch   1733, Loss  0.880512, Average Loss  0.867956, Time  0.171152
2021-09-11 07:57:45.102755 : Epoch  4, Batch   1734, Loss  0.846974, Average Loss  0.867878, Time  0.170388
2021-09-11 07:57:46.720783 : Epoch  4, Batch   1735, Loss  0.866263, Average Loss  0.867778, Time  0.172441
2021-09-11 07:57:48.328744 : Epoch  4, Batch   1736, Loss  0.853048, Average Loss  0.867795, Time  0.170887
2021-09-11 07:57:49.922023 : Epoch  4, Batch   1737, Loss  0.886896, Average Loss  0.867790, Time  0.170575
2021-09-11 07:57:51.524033 : Epoch  4, Batch   1738, Loss  0.884578, Average Loss  0.867826, Time  0.170847
2021-09-11 07:57:53.151026 : Epoch  4, Batch   1739, Loss  0.846115, Average Loss  0.867870, Time  0.171551
2021-09-11 07:57:54.763855 : Epoch  4, Batch   1740, Loss  0.865292, Average Loss  0.867849, Time  0.169815
2021-09-11 07:57:56.358028 : Epoch  4, Batch   1741, Loss  0.872077, Average Loss  0.867817, Time  0.174114
2021-09-11 07:57:57.963823 : Epoch  4, Batch   1742, Loss  0.875765, Average Loss  0.868032, Time  0.169698
2021-09-11 07:57:59.632068 : Epoch  4, Batch   1743, Loss  0.857729, Average Loss  0.868014, Time  0.171865
2021-09-11 07:58:01.253780 : Epoch  4, Batch   1744, Loss  0.865329, Average Loss  0.867919, Time  0.169823
2021-09-11 07:58:02.873752 : Epoch  4, Batch   1745, Loss  0.882971, Average Loss  0.868133, Time  0.170408
2021-09-11 07:58:04.475816 : Epoch  4, Batch   1746, Loss  0.869961, Average Loss  0.868100, Time  0.169716
2021-09-11 07:58:06.093989 : Epoch  4, Batch   1747, Loss  0.853458, Average Loss  0.868094, Time  0.170156
2021-09-11 07:58:07.707862 : Epoch  4, Batch   1748, Loss  0.876445, Average Loss  0.868089, Time  0.169987
2021-09-11 07:58:09.318861 : Epoch  4, Batch   1749, Loss  0.857142, Average Loss  0.867987, Time  0.172064
2021-09-11 07:58:10.923773 : Epoch  4, Batch   1750, Loss  0.886584, Average Loss  0.868020, Time  0.170483
2021-09-11 07:58:12.533011 : Epoch  4, Batch   1751, Loss  0.856684, Average Loss  0.867898, Time  0.170116
2021-09-11 07:58:14.127829 : Epoch  4, Batch   1752, Loss  0.906168, Average Loss  0.868087, Time  0.169821
2021-09-11 07:58:15.743829 : Epoch  4, Batch   1753, Loss  0.863249, Average Loss  0.868128, Time  0.170960
2021-09-11 07:58:17.350995 : Epoch  4, Batch   1754, Loss  0.874876, Average Loss  0.868298, Time  0.169818
2021-09-11 07:58:18.960889 : Epoch  4, Batch   1755, Loss  0.865295, Average Loss  0.868337, Time  0.170170
2021-09-11 07:58:20.596996 : Epoch  4, Batch   1756, Loss  0.870266, Average Loss  0.868349, Time  0.169881
2021-09-11 07:58:22.204770 : Epoch  4, Batch   1757, Loss  0.867147, Average Loss  0.868283, Time  0.170045
2021-09-11 07:58:23.814002 : Epoch  4, Batch   1758, Loss  0.876504, Average Loss  0.868273, Time  0.169718
2021-09-11 07:58:25.450002 : Epoch  4, Batch   1759, Loss  0.861686, Average Loss  0.868225, Time  0.170001
2021-09-11 07:58:27.058809 : Epoch  4, Batch   1760, Loss  0.863975, Average Loss  0.868168, Time  0.172028
2021-09-11 07:58:28.672801 : Epoch  4, Batch   1761, Loss  0.855307, Average Loss  0.868284, Time  0.169694
2021-09-11 07:58:30.270773 : Epoch  4, Batch   1762, Loss  0.849979, Average Loss  0.868155, Time  0.169919
2021-09-11 07:58:31.880773 : Epoch  4, Batch   1763, Loss  0.852051, Average Loss  0.867927, Time  0.169829
2021-09-11 07:58:33.493743 : Epoch  4, Batch   1764, Loss  0.861397, Average Loss  0.867868, Time  0.170094
2021-09-11 07:58:35.095018 : Epoch  4, Batch   1765, Loss  0.896686, Average Loss  0.867966, Time  0.169614
2021-09-11 07:58:36.698771 : Epoch  4, Batch   1766, Loss  0.853808, Average Loss  0.867864, Time  0.169717
2021-09-11 07:58:38.320994 : Epoch  4, Batch   1767, Loss  0.878819, Average Loss  0.867960, Time  0.169701
2021-09-11 07:59:47.259826 : CheckPoint: Validation Loss  0.00030101, Best Loss  0.00029375
2021-09-11 07:59:49.868222 : Epoch  3, Batch    789, Loss  0.873788, Average Loss  0.870786, Time  0.239826
2021-09-11 07:59:52.468975 : Epoch  3, Batch    790, Loss  0.859183, Average Loss  0.870743, Time  0.238740
2021-09-11 07:59:55.069064 : Epoch  3, Batch    791, Loss  0.874908, Average Loss  0.870787, Time  0.238146
2021-09-11 07:59:57.656348 : Epoch  3, Batch    792, Loss  0.854962, Average Loss  0.870684, Time  0.238016
2021-09-11 08:00:00.243368 : Epoch  3, Batch    793, Loss  0.857532, Average Loss  0.870675, Time  0.238715
2021-09-11 08:00:02.841401 : Epoch  3, Batch    794, Loss  0.863273, Average Loss  0.870651, Time  0.237147
2021-09-11 08:00:05.431925 : Epoch  3, Batch    795, Loss  0.880289, Average Loss  0.870704, Time  0.237264
2021-09-11 08:00:08.022393 : Epoch  3, Batch    796, Loss  0.849171, Average Loss  0.870566, Time  0.238560
2021-09-11 08:00:10.618996 : Epoch  3, Batch    797, Loss  0.905329, Average Loss  0.870642, Time  0.237963
2021-09-11 08:00:13.206959 : Epoch  3, Batch    798, Loss  0.854532, Average Loss  0.870591, Time  0.238792
2021-09-11 08:00:15.791377 : Epoch  3, Batch    799, Loss  0.893888, Average Loss  0.870690, Time  0.237323
2021-09-11 08:00:18.374411 : Epoch  3, Batch    800, Loss  0.877486, Average Loss  0.870772, Time  0.237551
2021-09-11 08:00:20.960921 : Epoch  3, Batch    801, Loss  0.873802, Average Loss  0.870832, Time  0.241223
2021-09-11 08:00:23.545292 : Epoch  3, Batch    802, Loss  0.867836, Average Loss  0.870802, Time  0.240175
2021-09-11 08:00:26.135968 : Epoch  3, Batch    803, Loss  0.883099, Average Loss  0.870944, Time  0.238229
2021-09-11 08:00:28.740107 : Epoch  3, Batch    804, Loss  0.889886, Average Loss  0.871016, Time  0.238425
2021-09-11 08:00:31.339953 : Epoch  3, Batch    805, Loss  0.884133, Average Loss  0.870946, Time  0.237131
2021-09-11 08:00:33.928357 : Epoch  3, Batch    806, Loss  0.862755, Average Loss  0.870901, Time  0.238592
2021-09-11 08:00:36.509016 : Epoch  3, Batch    807, Loss  0.863702, Average Loss  0.870802, Time  0.236994
2021-09-11 08:00:39.083816 : Epoch  3, Batch    808, Loss  0.856150, Average Loss  0.870775, Time  0.237444
2021-09-11 08:00:41.660325 : Epoch  3, Batch    809, Loss  0.872913, Average Loss  0.870889, Time  0.237385
2021-09-11 08:00:44.232662 : Epoch  3, Batch    810, Loss  0.871725, Average Loss  0.870853, Time  0.236967
2021-09-11 08:00:46.831901 : Epoch  3, Batch    811, Loss  0.861776, Average Loss  0.870868, Time  0.238134
2021-09-11 08:00:49.416915 : Epoch  3, Batch    812, Loss  0.866490, Average Loss  0.870834, Time  0.237687
2021-09-11 08:00:52.007946 : Epoch  3, Batch    813, Loss  0.866641, Average Loss  0.870740, Time  0.238009
2021-09-11 08:00:54.620948 : Epoch  3, Batch    814, Loss  0.875927, Average Loss  0.870808, Time  0.237410
2021-09-11 08:00:57.212198 : Epoch  3, Batch    815, Loss  0.884498, Average Loss  0.870640, Time  0.237227
2021-09-11 08:00:59.819836 : Epoch  3, Batch    816, Loss  0.872821, Average Loss  0.870673, Time  0.237583
2021-09-11 08:01:02.410339 : Epoch  3, Batch    817, Loss  0.854135, Average Loss  0.870574, Time  0.236997
2021-09-11 08:01:05.009828 : Epoch  3, Batch    818, Loss  0.876855, Average Loss  0.870647, Time  0.237413
2021-09-11 08:01:07.624820 : Epoch  3, Batch    819, Loss  0.879148, Average Loss  0.870700, Time  0.244281
2021-09-11 08:01:10.255938 : Epoch  3, Batch    820, Loss  0.866256, Average Loss  0.870697, Time  0.240685
2021-09-11 08:01:12.858925 : Epoch  3, Batch    821, Loss  0.883757, Average Loss  0.870721, Time  0.240994
2021-09-11 08:01:15.476095 : Epoch  3, Batch    822, Loss  0.870318, Average Loss  0.870699, Time  0.245450
2021-09-11 08:01:18.099133 : Epoch  3, Batch    823, Loss  0.877120, Average Loss  0.870730, Time  0.244339
2021-09-11 08:01:20.701571 : Epoch  3, Batch    824, Loss  0.856498, Average Loss  0.870803, Time  0.243387
2021-09-11 08:01:23.294077 : Epoch  3, Batch    825, Loss  0.852926, Average Loss  0.870731, Time  0.241325
2021-09-11 08:01:25.912006 : Epoch  3, Batch    826, Loss  0.886932, Average Loss  0.870852, Time  0.239898
2021-09-11 08:01:28.508367 : Epoch  3, Batch    827, Loss  0.876479, Average Loss  0.870944, Time  0.237198
2021-09-11 08:01:31.114974 : Epoch  3, Batch    828, Loss  0.870899, Average Loss  0.870900, Time  0.237641
2021-09-11 08:01:33.712855 : Epoch  3, Batch    829, Loss  0.873888, Average Loss  0.870824, Time  0.238338
2021-09-11 08:01:36.320597 : Epoch  3, Batch    830, Loss  0.861154, Average Loss  0.870622, Time  0.239068
2021-09-11 08:01:38.917064 : Epoch  3, Batch    831, Loss  0.849915, Average Loss  0.870523, Time  0.238490
2021-09-11 08:01:41.518484 : Epoch  3, Batch    832, Loss  0.862436, Average Loss  0.870471, Time  0.238205
2021-09-11 08:01:44.097823 : Epoch  3, Batch    833, Loss  0.867861, Average Loss  0.870363, Time  0.237461
2021-09-11 08:01:46.689963 : Epoch  3, Batch    834, Loss  0.872739, Average Loss  0.870428, Time  0.237261
2021-09-11 08:01:49.268643 : Epoch  3, Batch    835, Loss  0.861933, Average Loss  0.870378, Time  0.237516
2021-09-11 08:01:51.853343 : Epoch  3, Batch    836, Loss  0.863424, Average Loss  0.870320, Time  0.239111
2021-09-11 08:01:54.457055 : Epoch  3, Batch    837, Loss  0.867713, Average Loss  0.870118, Time  0.239518
2021-09-11 08:01:57.046015 : Epoch  3, Batch    838, Loss  0.876880, Average Loss  0.870200, Time  0.238053
2021-09-11 08:01:59.628863 : Epoch  3, Batch    839, Loss  0.850408, Average Loss  0.870199, Time  0.237795
2021-09-11 08:02:02.213798 : Epoch  3, Batch    840, Loss  0.878827, Average Loss  0.870256, Time  0.237748
2021-09-11 08:02:04.874103 : Epoch  3, Batch    841, Loss  0.863956, Average Loss  0.870248, Time  0.262007
2021-09-11 08:02:07.593087 : Epoch  3, Batch    842, Loss  0.864308, Average Loss  0.870208, Time  0.261370
2021-09-11 08:02:10.308969 : Epoch  3, Batch    843, Loss  0.875758, Average Loss  0.870178, Time  0.263310
2021-09-11 08:02:13.015924 : Epoch  3, Batch    844, Loss  0.851396, Average Loss  0.870111, Time  0.262442
2021-09-11 08:02:15.709769 : Epoch  3, Batch    845, Loss  0.842457, Average Loss  0.869916, Time  0.267628
2021-09-11 08:02:18.412874 : Epoch  3, Batch    846, Loss  0.880037, Average Loss  0.869941, Time  0.263778
2021-09-11 08:02:21.023952 : Epoch  3, Batch    847, Loss  0.851901, Average Loss  0.869835, Time  0.239062
2021-09-11 08:02:23.617007 : Epoch  3, Batch    848, Loss  0.852123, Average Loss  0.869764, Time  0.238282
2021-09-11 08:02:26.228805 : Epoch  3, Batch    849, Loss  0.855615, Average Loss  0.869694, Time  0.240773
2021-09-11 08:02:28.826764 : Epoch  3, Batch    850, Loss  0.865063, Average Loss  0.869631, Time  0.237916
2021-09-11 08:02:31.410856 : Epoch  3, Batch    851, Loss  0.857058, Average Loss  0.869542, Time  0.237295
2021-09-11 08:02:33.990959 : Epoch  3, Batch    852, Loss  0.858736, Average Loss  0.869465, Time  0.237439
2021-09-11 08:02:36.589328 : Epoch  3, Batch    853, Loss  0.886891, Average Loss  0.869559, Time  0.237157
2021-09-11 08:02:39.178816 : Epoch  3, Batch    854, Loss  0.880149, Average Loss  0.869652, Time  0.238584
2021-09-11 08:02:41.771470 : Epoch  3, Batch    855, Loss  0.868808, Average Loss  0.869652, Time  0.239213
2021-09-11 08:02:44.376205 : Epoch  3, Batch    856, Loss  0.847891, Average Loss  0.869490, Time  0.237590
2021-09-11 08:02:46.985796 : Epoch  3, Batch    857, Loss  0.852008, Average Loss  0.869430, Time  0.238188
2021-09-11 08:02:49.573970 : Epoch  3, Batch    858, Loss  0.877299, Average Loss  0.869467, Time  0.237871
2021-09-11 08:02:52.172390 : Epoch  3, Batch    859, Loss  0.859044, Average Loss  0.869406, Time  0.243529
2021-09-11 08:02:54.766839 : Epoch  3, Batch    860, Loss  0.873145, Average Loss  0.869377, Time  0.237551
2021-09-11 08:02:57.363449 : Epoch  3, Batch    861, Loss  0.883561, Average Loss  0.869419, Time  0.237110
2021-09-11 08:02:59.946390 : Epoch  3, Batch    862, Loss  0.862346, Average Loss  0.869388, Time  0.237302
2021-09-11 08:03:02.540075 : Epoch  3, Batch    863, Loss  0.865869, Average Loss  0.869430, Time  0.237405
2021-09-11 08:03:05.150990 : Epoch  3, Batch    864, Loss  0.859729, Average Loss  0.869336, Time  0.241211
2021-09-11 08:03:07.743811 : Epoch  3, Batch    865, Loss  0.886032, Average Loss  0.869335, Time  0.237699
2021-09-11 08:03:10.335423 : Epoch  3, Batch    866, Loss  0.872581, Average Loss  0.869290, Time  0.238387
2021-09-11 08:03:12.927789 : Epoch  3, Batch    867, Loss  0.885598, Average Loss  0.869308, Time  0.237737
2021-09-11 08:03:15.530077 : Epoch  3, Batch    868, Loss  0.871541, Average Loss  0.869308, Time  0.237345
2021-09-11 08:03:18.135398 : Epoch  3, Batch    869, Loss  0.855120, Average Loss  0.869271, Time  0.241155
2021-09-11 08:03:19.231725 : CheckPoint: Validation Loss  0.00061625, Best Loss  0.00057296
2021-09-11 08:03:20.719085 : Epoch  3, Batch    870, Loss  0.871125, Average Loss  0.869116, Time  0.237858
2021-09-11 08:03:20.819779 : Epoch  4, Batch   1768, Loss  0.848453, Average Loss  0.867800, Time  0.177628
2021-09-11 08:03:22.432738 : Epoch  4, Batch   1769, Loss  0.893098, Average Loss  0.867934, Time  0.170037
2021-09-11 08:03:23.304148 : Epoch  3, Batch    871, Loss  0.861759, Average Loss  0.869049, Time  0.238466
2021-09-11 08:03:24.028978 : Epoch  4, Batch   1770, Loss  0.868557, Average Loss  0.867929, Time  0.169565
2021-09-11 08:03:25.648972 : Epoch  4, Batch   1771, Loss  0.860536, Average Loss  0.867874, Time  0.169767
2021-09-11 08:03:25.885933 : Epoch  3, Batch    872, Loss  0.880809, Average Loss  0.869035, Time  0.237543
2021-09-11 08:03:27.241978 : Epoch  4, Batch   1772, Loss  0.892687, Average Loss  0.868008, Time  0.169634
2021-09-11 08:03:28.468967 : Epoch  3, Batch    873, Loss  0.883433, Average Loss  0.869075, Time  0.237337
2021-09-11 08:03:28.856992 : Epoch  4, Batch   1773, Loss  0.886510, Average Loss  0.868057, Time  0.169903
2021-09-11 08:03:30.454769 : Epoch  4, Batch   1774, Loss  0.871780, Average Loss  0.868074, Time  0.171203
2021-09-11 08:03:31.058937 : Epoch  3, Batch    874, Loss  0.865023, Average Loss  0.869089, Time  0.238341
2021-09-11 08:03:32.062998 : Epoch  4, Batch   1775, Loss  0.855773, Average Loss  0.867927, Time  0.169775
2021-09-11 08:03:33.643876 : Epoch  3, Batch    875, Loss  0.873702, Average Loss  0.869076, Time  0.240244
2021-09-11 08:03:33.680831 : Epoch  4, Batch   1776, Loss  0.877739, Average Loss  0.867916, Time  0.169547
2021-09-11 08:03:35.290986 : Epoch  4, Batch   1777, Loss  0.884186, Average Loss  0.868026, Time  0.169534
2021-09-11 08:03:36.260881 : Epoch  3, Batch    876, Loss  0.866296, Average Loss  0.869059, Time  0.237530
2021-09-11 08:03:36.923001 : Epoch  4, Batch   1778, Loss  0.831797, Average Loss  0.867808, Time  0.169921
2021-09-11 08:03:38.519003 : Epoch  4, Batch   1779, Loss  0.858478, Average Loss  0.867721, Time  0.169997
2021-09-11 08:03:38.856907 : Epoch  3, Batch    877, Loss  0.862497, Average Loss  0.869065, Time  0.237449
2021-09-11 08:03:40.153451 : Epoch  4, Batch   1780, Loss  0.887470, Average Loss  0.867731, Time  0.170213
2021-09-11 08:03:41.445081 : Epoch  3, Batch    878, Loss  0.878521, Average Loss  0.869007, Time  0.237319
2021-09-11 08:03:41.766001 : Epoch  4, Batch   1781, Loss  0.866612, Average Loss  0.867729, Time  0.170184
2021-09-11 08:03:43.372839 : Epoch  4, Batch   1782, Loss  0.870157, Average Loss  0.867856, Time  0.169679
2021-09-11 08:03:44.031887 : Epoch  3, Batch    879, Loss  0.858381, Average Loss  0.868815, Time  0.238699
2021-09-11 08:03:44.971002 : Epoch  4, Batch   1783, Loss  0.844648, Average Loss  0.867766, Time  0.170086
2021-09-11 08:03:46.571743 : Epoch  4, Batch   1784, Loss  0.898794, Average Loss  0.867814, Time  0.169862
2021-09-11 08:03:46.611799 : Epoch  3, Batch    880, Loss  0.852857, Average Loss  0.868875, Time  0.237257
2021-09-11 08:03:48.169985 : Epoch  4, Batch   1785, Loss  0.903406, Average Loss  0.868091, Time  0.170048
2021-09-11 08:03:49.199895 : Epoch  3, Batch    881, Loss  0.859435, Average Loss  0.868834, Time  0.236994
2021-09-11 08:03:49.768793 : Epoch  4, Batch   1786, Loss  0.845450, Average Loss  0.868092, Time  0.169589
2021-09-11 08:03:51.366011 : Epoch  4, Batch   1787, Loss  0.898397, Average Loss  0.868059, Time  0.169672
2021-09-11 08:03:51.782194 : Epoch  3, Batch    882, Loss  0.863859, Average Loss  0.868750, Time  0.237280
2021-09-11 08:03:52.966842 : Epoch  4, Batch   1788, Loss  0.831451, Average Loss  0.867896, Time  0.170229
2021-09-11 08:03:54.406059 : Epoch  3, Batch    883, Loss  0.890119, Average Loss  0.868835, Time  0.237464
2021-09-11 08:03:54.567997 : Epoch  4, Batch   1789, Loss  0.829555, Average Loss  0.867611, Time  0.169904
2021-09-11 08:03:56.162774 : Epoch  4, Batch   1790, Loss  0.874581, Average Loss  0.867652, Time  0.169783
2021-09-11 08:03:57.006110 : Epoch  3, Batch    884, Loss  0.872076, Average Loss  0.868924, Time  0.237276
2021-09-11 08:03:57.753810 : Epoch  4, Batch   1791, Loss  0.864303, Average Loss  0.867772, Time  0.170630
2021-09-11 08:03:59.335998 : Epoch  4, Batch   1792, Loss  0.887299, Average Loss  0.867890, Time  0.169567
2021-09-11 08:03:59.593871 : Epoch  3, Batch    885, Loss  0.862009, Average Loss  0.868918, Time  0.237308
2021-09-11 08:04:00.934769 : Epoch  4, Batch   1793, Loss  0.868837, Average Loss  0.867751, Time  0.169788
2021-09-11 08:04:02.174923 : Epoch  3, Batch    886, Loss  0.887032, Average Loss  0.868910, Time  0.237390
2021-09-11 08:04:02.552766 : Epoch  4, Batch   1794, Loss  0.883089, Average Loss  0.867810, Time  0.169982
2021-09-11 08:04:04.152845 : Epoch  4, Batch   1795, Loss  0.843293, Average Loss  0.867584, Time  0.169725
2021-09-11 08:04:04.751837 : Epoch  3, Batch    887, Loss  0.863337, Average Loss  0.868797, Time  0.237357
2021-09-11 08:04:05.761763 : Epoch  4, Batch   1796, Loss  0.871203, Average Loss  0.867484, Time  0.169976
2021-09-11 08:04:07.340970 : Epoch  3, Batch    888, Loss  0.864909, Average Loss  0.868776, Time  0.237596
2021-09-11 08:04:07.384796 : Epoch  4, Batch   1797, Loss  0.849306, Average Loss  0.867416, Time  0.169938
2021-09-11 08:04:08.990762 : Epoch  4, Batch   1798, Loss  0.854318, Average Loss  0.867357, Time  0.170020
2021-09-11 08:04:10.594851 : Epoch  4, Batch   1799, Loss  0.856283, Average Loss  0.867333, Time  0.169959
2021-09-11 08:04:12.183987 : Epoch  4, Batch   1800, Loss  0.898638, Average Loss  0.867571, Time  0.169855
2021-09-11 08:04:13.794822 : Epoch  4, Batch   1801, Loss  0.866417, Average Loss  0.867558, Time  0.170499
2021-09-11 08:04:15.390998 : Epoch  4, Batch   1802, Loss  0.868674, Average Loss  0.867633, Time  0.169764
2021-09-11 08:04:16.987985 : Epoch  4, Batch   1803, Loss  0.855333, Average Loss  0.867644, Time  0.172775
2021-09-11 08:04:18.590920 : Epoch  4, Batch   1804, Loss  0.848463, Average Loss  0.867396, Time  0.169833
2021-09-11 08:04:20.217342 : Epoch  4, Batch   1805, Loss  0.874602, Average Loss  0.867482, Time  0.172124
2021-09-11 08:04:21.816992 : Epoch  4, Batch   1806, Loss  0.862052, Average Loss  0.867381, Time  0.169918
2021-09-11 08:04:23.411815 : Epoch  4, Batch   1807, Loss  0.910334, Average Loss  0.867654, Time  0.169976
2021-09-11 08:04:25.016996 : Epoch  4, Batch   1808, Loss  0.869248, Average Loss  0.867567, Time  0.169717
2021-09-11 08:04:26.613746 : Epoch  4, Batch   1809, Loss  0.872236, Average Loss  0.867521, Time  0.170520
2021-09-11 08:04:28.210749 : Epoch  4, Batch   1810, Loss  0.860426, Average Loss  0.867415, Time  0.172086
2021-09-11 08:04:29.826805 : Epoch  4, Batch   1811, Loss  0.854458, Average Loss  0.867345, Time  0.172435
2021-09-11 08:04:31.430792 : Epoch  4, Batch   1812, Loss  0.851290, Average Loss  0.867333, Time  0.169910
2021-09-11 08:04:33.035740 : Epoch  4, Batch   1813, Loss  0.870883, Average Loss  0.867321, Time  0.169739
2021-09-11 08:04:34.635737 : Epoch  4, Batch   1814, Loss  0.870021, Average Loss  0.867183, Time  0.169631
2021-09-11 08:04:36.229859 : Epoch  4, Batch   1815, Loss  0.862468, Average Loss  0.867079, Time  0.169884
2021-09-11 08:04:37.824998 : Epoch  4, Batch   1816, Loss  0.877538, Average Loss  0.867049, Time  0.169813
2021-09-11 08:04:39.432984 : Epoch  4, Batch   1817, Loss  0.868733, Average Loss  0.867088, Time  0.169738
2021-09-11 08:04:41.032993 : Epoch  4, Batch   1818, Loss  0.877935, Average Loss  0.867220, Time  0.169588
2021-09-11 08:04:42.634747 : Epoch  4, Batch   1819, Loss  0.881426, Average Loss  0.867407, Time  0.170049
2021-09-11 08:04:44.225774 : Epoch  4, Batch   1820, Loss  0.864756, Average Loss  0.867375, Time  0.169640
2021-09-11 08:04:45.826840 : Epoch  4, Batch   1821, Loss  0.868913, Average Loss  0.867404, Time  0.170089
2021-09-11 08:04:47.431002 : Epoch  4, Batch   1822, Loss  0.907204, Average Loss  0.867379, Time  0.169676
2021-09-11 08:04:49.052762 : Epoch  4, Batch   1823, Loss  0.862748, Average Loss  0.867338, Time  0.169930
2021-09-11 08:04:50.649774 : Epoch  4, Batch   1824, Loss  0.857667, Average Loss  0.867359, Time  0.170099
2021-09-11 08:04:52.239790 : Epoch  4, Batch   1825, Loss  0.868685, Average Loss  0.867356, Time  0.169760
2021-09-11 08:04:53.838835 : Epoch  4, Batch   1826, Loss  0.882546, Average Loss  0.867458, Time  0.169652
2021-09-11 08:04:55.451772 : Epoch  4, Batch   1827, Loss  0.895534, Average Loss  0.867615, Time  0.170155
2021-09-11 08:04:57.075030 : Epoch  4, Batch   1828, Loss  0.885966, Average Loss  0.867675, Time  0.170535
2021-09-11 08:04:58.672740 : Epoch  4, Batch   1829, Loss  0.847335, Average Loss  0.867480, Time  0.169848
2021-09-11 08:05:00.290995 : Epoch  4, Batch   1830, Loss  0.888992, Average Loss  0.867780, Time  0.169863
2021-09-11 08:05:01.953999 : Epoch  4, Batch   1831, Loss  0.847799, Average Loss  0.867701, Time  0.170182
2021-09-11 08:05:03.567871 : Epoch  4, Batch   1832, Loss  0.832545, Average Loss  0.867622, Time  0.169694
2021-09-11 08:05:05.174984 : Epoch  4, Batch   1833, Loss  0.879325, Average Loss  0.867757, Time  0.169729
2021-09-11 08:05:06.777869 : Epoch  4, Batch   1834, Loss  0.855280, Average Loss  0.867554, Time  0.170056
2021-09-11 08:05:08.387998 : Epoch  4, Batch   1835, Loss  0.868943, Average Loss  0.867577, Time  0.169806
2021-09-11 08:05:09.984994 : Epoch  4, Batch   1836, Loss  0.871319, Average Loss  0.867675, Time  0.169780
2021-09-11 08:05:11.582986 : Epoch  4, Batch   1837, Loss  0.868195, Average Loss  0.867468, Time  0.169723
2021-09-11 08:05:13.175808 : Epoch  4, Batch   1838, Loss  0.872605, Average Loss  0.867409, Time  0.169758
2021-09-11 08:05:14.767001 : Epoch  4, Batch   1839, Loss  0.878715, Average Loss  0.867535, Time  0.169628
2021-09-11 08:05:16.365820 : Epoch  4, Batch   1840, Loss  0.890326, Average Loss  0.867568, Time  0.169882
2021-09-11 08:05:17.960755 : Epoch  4, Batch   1841, Loss  0.877311, Average Loss  0.867772, Time  0.174644
2021-09-11 08:05:19.562036 : Epoch  4, Batch   1842, Loss  0.891916, Average Loss  0.867932, Time  0.171364
2021-09-11 08:05:21.189308 : Epoch  4, Batch   1843, Loss  0.892719, Average Loss  0.868054, Time  0.177799
2021-09-11 08:05:22.800028 : Epoch  4, Batch   1844, Loss  0.853015, Average Loss  0.868024, Time  0.177308
2021-09-11 08:05:24.392782 : Epoch  4, Batch   1845, Loss  0.830962, Average Loss  0.867765, Time  0.178203
2021-09-11 08:05:25.984034 : Epoch  4, Batch   1846, Loss  0.861606, Average Loss  0.867813, Time  0.179080
2021-09-11 08:05:27.581033 : Epoch  4, Batch   1847, Loss  0.835711, Average Loss  0.867643, Time  0.169935
2021-09-11 08:05:29.178029 : Epoch  4, Batch   1848, Loss  0.884980, Average Loss  0.867847, Time  0.169510
2021-09-11 08:05:30.799038 : Epoch  4, Batch   1849, Loss  0.882634, Average Loss  0.867948, Time  0.171530
2021-09-11 08:05:32.412036 : Epoch  4, Batch   1850, Loss  0.855056, Average Loss  0.867933, Time  0.177732
2021-09-11 08:05:34.013877 : Epoch  4, Batch   1851, Loss  0.884703, Average Loss  0.867812, Time  0.181929
2021-09-11 08:05:35.610032 : Epoch  4, Batch   1852, Loss  0.892797, Average Loss  0.867943, Time  0.172972
2021-09-11 08:05:37.209776 : Epoch  4, Batch   1853, Loss  0.885196, Average Loss  0.868027, Time  0.171861
2021-09-11 08:05:38.807822 : Epoch  4, Batch   1854, Loss  0.881649, Average Loss  0.868164, Time  0.177698
2021-09-11 08:05:40.408030 : Epoch  4, Batch   1855, Loss  0.886280, Average Loss  0.868134, Time  0.169961
2021-09-11 08:05:42.024744 : Epoch  4, Batch   1856, Loss  0.870047, Average Loss  0.868223, Time  0.183426
2021-09-11 08:05:43.652028 : Epoch  4, Batch   1857, Loss  0.862216, Average Loss  0.868126, Time  0.184616
2021-09-11 08:05:45.261784 : Epoch  4, Batch   1858, Loss  0.884172, Average Loss  0.868143, Time  0.179859
2021-09-11 08:05:46.873032 : Epoch  4, Batch   1859, Loss  0.867900, Average Loss  0.868157, Time  0.176534
2021-09-11 08:05:48.469016 : Epoch  4, Batch   1860, Loss  0.845870, Average Loss  0.868108, Time  0.174319
2021-09-11 08:05:50.077021 : Epoch  4, Batch   1861, Loss  0.878948, Average Loss  0.868141, Time  0.169963
2021-09-11 08:05:51.678769 : Epoch  4, Batch   1862, Loss  0.865876, Average Loss  0.868056, Time  0.178534
2021-09-11 08:05:53.270847 : Epoch  4, Batch   1863, Loss  0.849294, Average Loss  0.867986, Time  0.170235
2021-09-11 08:05:54.895952 : Epoch  4, Batch   1864, Loss  0.871166, Average Loss  0.867940, Time  0.181225
2021-09-11 08:05:56.503003 : Epoch  4, Batch   1865, Loss  0.894184, Average Loss  0.868174, Time  0.176794
2021-09-11 08:05:58.099019 : Epoch  4, Batch   1866, Loss  0.898327, Average Loss  0.868439, Time  0.174924
2021-09-11 08:06:05.119784 : Epoch  4, Batch   1867, Loss  0.850045, Average Loss  0.868236, Time  0.190210
2021-09-11 08:08:10.204739 : CheckPoint: Validation Loss  0.00029187, Best Loss  0.00029187
2021-09-11 08:08:10.245570 : Best Model Updated
2021-09-11 08:08:13.787968 : Epoch  3, Batch    889, Loss  0.867594, Average Loss  0.868870, Time  0.239455
2021-09-11 08:08:16.402805 : Epoch  3, Batch    890, Loss  0.888717, Average Loss  0.868987, Time  0.238826
2021-09-11 08:08:19.006901 : Epoch  3, Batch    891, Loss  0.878641, Average Loss  0.869094, Time  0.240005
2021-09-11 08:08:21.605822 : Epoch  3, Batch    892, Loss  0.872300, Average Loss  0.869188, Time  0.239189
2021-09-11 08:08:24.182373 : Epoch  3, Batch    893, Loss  0.869332, Average Loss  0.869316, Time  0.237098
2021-09-11 08:08:26.767554 : Epoch  3, Batch    894, Loss  0.858446, Average Loss  0.869243, Time  0.237412
2021-09-11 08:08:29.358894 : Epoch  3, Batch    895, Loss  0.865104, Average Loss  0.869042, Time  0.238460
2021-09-11 08:08:31.936380 : Epoch  3, Batch    896, Loss  0.856291, Average Loss  0.868887, Time  0.237209
2021-09-11 08:08:34.512968 : Epoch  3, Batch    897, Loss  0.874957, Average Loss  0.868922, Time  0.237460
2021-09-11 08:08:37.101076 : Epoch  3, Batch    898, Loss  0.873097, Average Loss  0.868981, Time  0.237677
2021-09-11 08:08:39.707371 : Epoch  3, Batch    899, Loss  0.886756, Average Loss  0.868983, Time  0.237997
2021-09-11 08:08:42.291861 : Epoch  3, Batch    900, Loss  0.869114, Average Loss  0.868940, Time  0.239372
2021-09-11 08:08:44.880336 : Epoch  3, Batch    901, Loss  0.872402, Average Loss  0.868927, Time  0.237780
2021-09-11 08:08:47.464888 : Epoch  3, Batch    902, Loss  0.847016, Average Loss  0.868766, Time  0.237478
2021-09-11 08:08:50.054032 : Epoch  3, Batch    903, Loss  0.867162, Average Loss  0.868817, Time  0.238270
2021-09-11 08:08:52.648393 : Epoch  3, Batch    904, Loss  0.866829, Average Loss  0.868850, Time  0.239397
2021-09-11 08:08:55.232981 : Epoch  3, Batch    905, Loss  0.858315, Average Loss  0.868743, Time  0.237607
2021-09-11 08:08:57.806201 : Epoch  3, Batch    906, Loss  0.848049, Average Loss  0.868677, Time  0.237497
2021-09-11 08:09:00.386397 : Epoch  3, Batch    907, Loss  0.882184, Average Loss  0.868718, Time  0.238895
2021-09-11 08:09:02.987166 : Epoch  3, Batch    908, Loss  0.873581, Average Loss  0.868888, Time  0.238439
2021-09-11 08:09:05.575030 : Epoch  3, Batch    909, Loss  0.860987, Average Loss  0.868775, Time  0.238071
2021-09-11 08:09:08.143965 : Epoch  3, Batch    910, Loss  0.865140, Average Loss  0.868622, Time  0.237390
2021-09-11 08:09:10.747031 : Epoch  3, Batch    911, Loss  0.882722, Average Loss  0.868534, Time  0.243935
2021-09-11 08:09:13.359546 : Epoch  3, Batch    912, Loss  0.871455, Average Loss  0.868523, Time  0.237463
2021-09-11 08:09:15.941951 : Epoch  3, Batch    913, Loss  0.875615, Average Loss  0.868584, Time  0.237397
2021-09-11 08:09:18.522976 : Epoch  3, Batch    914, Loss  0.879535, Average Loss  0.868655, Time  0.237581
2021-09-11 08:09:21.109198 : Epoch  3, Batch    915, Loss  0.870050, Average Loss  0.868648, Time  0.238184
2021-09-11 08:09:23.691867 : Epoch  3, Batch    916, Loss  0.866644, Average Loss  0.868555, Time  0.240986
2021-09-11 08:09:26.270178 : Epoch  3, Batch    917, Loss  0.883095, Average Loss  0.868616, Time  0.237433
2021-09-11 08:09:28.862286 : Epoch  3, Batch    918, Loss  0.881382, Average Loss  0.868684, Time  0.238434
2021-09-11 08:09:31.434826 : Epoch  3, Batch    919, Loss  0.883731, Average Loss  0.868849, Time  0.237333
2021-09-11 08:09:34.022438 : Epoch  3, Batch    920, Loss  0.871401, Average Loss  0.868944, Time  0.238172
2021-09-11 08:09:36.619379 : Epoch  3, Batch    921, Loss  0.881743, Average Loss  0.868953, Time  0.237125
2021-09-11 08:09:39.212001 : Epoch  3, Batch    922, Loss  0.871417, Average Loss  0.868979, Time  0.237958
2021-09-11 08:09:41.795040 : Epoch  3, Batch    923, Loss  0.864330, Average Loss  0.868964, Time  0.237954
2021-09-11 08:09:44.383092 : Epoch  3, Batch    924, Loss  0.874039, Average Loss  0.868872, Time  0.237649
2021-09-11 08:09:46.964673 : Epoch  3, Batch    925, Loss  0.872338, Average Loss  0.868900, Time  0.237444
2021-09-11 08:09:49.555242 : Epoch  3, Batch    926, Loss  0.858766, Average Loss  0.868927, Time  0.237349
2021-09-11 08:09:52.141792 : Epoch  3, Batch    927, Loss  0.850988, Average Loss  0.868905, Time  0.237397
2021-09-11 08:09:54.715918 : Epoch  3, Batch    928, Loss  0.859926, Average Loss  0.868863, Time  0.238629
2021-09-11 08:09:57.328907 : Epoch  3, Batch    929, Loss  0.872698, Average Loss  0.868949, Time  0.237381
2021-09-11 08:09:59.907894 : Epoch  3, Batch    930, Loss  0.863549, Average Loss  0.868949, Time  0.237730
2021-09-11 08:10:02.496879 : Epoch  3, Batch    931, Loss  0.877987, Average Loss  0.868889, Time  0.237440
2021-09-11 08:10:05.110020 : Epoch  3, Batch    932, Loss  0.887873, Average Loss  0.868988, Time  0.238258
2021-09-11 08:10:07.695777 : Epoch  3, Batch    933, Loss  0.847641, Average Loss  0.868786, Time  0.239192
2021-09-11 08:10:10.290806 : Epoch  3, Batch    934, Loss  0.843661, Average Loss  0.868606, Time  0.238351
2021-09-11 08:10:12.888997 : Epoch  3, Batch    935, Loss  0.863271, Average Loss  0.868636, Time  0.237859
2021-09-11 08:10:15.471892 : Epoch  3, Batch    936, Loss  0.886419, Average Loss  0.868653, Time  0.237784
2021-09-11 08:10:18.063050 : Epoch  3, Batch    937, Loss  0.878360, Average Loss  0.868777, Time  0.241129
2021-09-11 08:10:20.651061 : Epoch  3, Batch    938, Loss  0.855120, Average Loss  0.868758, Time  0.238069
2021-09-11 08:10:23.235158 : Epoch  3, Batch    939, Loss  0.874003, Average Loss  0.868777, Time  0.241261
2021-09-11 08:10:25.814046 : Epoch  3, Batch    940, Loss  0.878876, Average Loss  0.868749, Time  0.238769
2021-09-11 08:10:28.401047 : Epoch  3, Batch    941, Loss  0.877503, Average Loss  0.868795, Time  0.238785
2021-09-11 08:10:31.002022 : Epoch  3, Batch    942, Loss  0.873130, Average Loss  0.868814, Time  0.237205
2021-09-11 08:10:33.578614 : Epoch  3, Batch    943, Loss  0.890343, Average Loss  0.868935, Time  0.237031
2021-09-11 08:10:36.160952 : Epoch  3, Batch    944, Loss  0.846697, Average Loss  0.868766, Time  0.237946
2021-09-11 08:10:38.747129 : Epoch  3, Batch    945, Loss  0.886919, Average Loss  0.868819, Time  0.239029
2021-09-11 08:10:41.341989 : Epoch  3, Batch    946, Loss  0.874418, Average Loss  0.868797, Time  0.240523
2021-09-11 08:10:43.915874 : Epoch  3, Batch    947, Loss  0.868212, Average Loss  0.868784, Time  0.239199
2021-09-11 08:10:45.169709 : CheckPoint: Validation Loss  0.00061967, Best Loss  0.00057296
2021-09-11 08:10:46.488974 : Epoch  3, Batch    948, Loss  0.865516, Average Loss  0.868739, Time  0.237118
2021-09-11 08:10:46.780949 : Epoch  4, Batch   1868, Loss  0.850540, Average Loss  0.868214, Time  0.177390
2021-09-11 08:10:48.387839 : Epoch  4, Batch   1869, Loss  0.862643, Average Loss  0.868268, Time  0.172853
2021-09-11 08:10:49.067819 : Epoch  3, Batch    949, Loss  0.871478, Average Loss  0.868770, Time  0.237024
2021-09-11 08:10:49.999999 : Epoch  4, Batch   1870, Loss  0.874429, Average Loss  0.868383, Time  0.170444
2021-09-11 08:10:51.608942 : Epoch  4, Batch   1871, Loss  0.896738, Average Loss  0.868524, Time  0.170755
2021-09-11 08:10:51.639046 : Epoch  3, Batch    950, Loss  0.875491, Average Loss  0.868751, Time  0.237229
2021-09-11 08:10:53.206928 : Epoch  4, Batch   1872, Loss  0.869086, Average Loss  0.868622, Time  0.171200
2021-09-11 08:10:54.226996 : Epoch  3, Batch    951, Loss  0.877926, Average Loss  0.868766, Time  0.238039
2021-09-11 08:10:54.813011 : Epoch  4, Batch   1873, Loss  0.861406, Average Loss  0.868415, Time  0.169939
2021-09-11 08:10:56.432027 : Epoch  4, Batch   1874, Loss  0.885279, Average Loss  0.868557, Time  0.182131
2021-09-11 08:10:56.807956 : Epoch  3, Batch    952, Loss  0.875726, Average Loss  0.868805, Time  0.238887
2021-09-11 08:10:58.036932 : Epoch  4, Batch   1875, Loss  0.875153, Average Loss  0.868690, Time  0.172568
2021-09-11 08:10:59.418109 : Epoch  3, Batch    953, Loss  0.889970, Average Loss  0.868973, Time  0.237481
2021-09-11 08:10:59.632850 : Epoch  4, Batch   1876, Loss  0.842209, Average Loss  0.868570, Time  0.169947
2021-09-11 08:11:01.259045 : Epoch  4, Batch   1877, Loss  0.878882, Average Loss  0.868702, Time  0.175253
2021-09-11 08:11:02.000719 : Epoch  3, Batch    954, Loss  0.883410, Average Loss  0.869091, Time  0.237747
2021-09-11 08:11:02.849026 : Epoch  4, Batch   1878, Loss  0.849925, Average Loss  0.868535, Time  0.174127
2021-09-11 08:11:04.454016 : Epoch  4, Batch   1879, Loss  0.866553, Average Loss  0.868527, Time  0.177388
2021-09-11 08:11:04.580930 : Epoch  3, Batch    955, Loss  0.887025, Average Loss  0.869265, Time  0.239946
2021-09-11 08:11:06.053028 : Epoch  4, Batch   1880, Loss  0.885469, Average Loss  0.868453, Time  0.174570
2021-09-11 08:11:07.173984 : Epoch  3, Batch    956, Loss  0.882323, Average Loss  0.869318, Time  0.238012
2021-09-11 08:11:07.663015 : Epoch  4, Batch   1881, Loss  0.890293, Average Loss  0.868713, Time  0.176953
2021-09-11 08:11:09.260838 : Epoch  4, Batch   1882, Loss  0.843721, Average Loss  0.868610, Time  0.176357
2021-09-11 08:11:09.779362 : Epoch  3, Batch    957, Loss  0.887975, Average Loss  0.869353, Time  0.239265
2021-09-11 08:11:10.869040 : Epoch  4, Batch   1883, Loss  0.864686, Average Loss  0.868505, Time  0.171080
2021-09-11 08:11:12.354884 : Epoch  3, Batch    958, Loss  0.849011, Average Loss  0.869192, Time  0.237230
2021-09-11 08:11:12.476017 : Epoch  4, Batch   1884, Loss  0.879809, Average Loss  0.868531, Time  0.173077
2021-09-11 08:11:14.083037 : Epoch  4, Batch   1885, Loss  0.885792, Average Loss  0.868447, Time  0.175137
2021-09-11 08:11:14.948149 : Epoch  3, Batch    959, Loss  0.870269, Average Loss  0.869279, Time  0.238541
2021-09-11 08:11:15.687808 : Epoch  4, Batch   1886, Loss  0.877616, Average Loss  0.868553, Time  0.181861
2021-09-11 08:11:17.291767 : Epoch  4, Batch   1887, Loss  0.876134, Average Loss  0.868491, Time  0.173061
2021-09-11 08:11:17.542031 : Epoch  3, Batch    960, Loss  0.889481, Average Loss  0.869378, Time  0.237580
2021-09-11 08:11:18.888016 : Epoch  4, Batch   1888, Loss  0.870799, Average Loss  0.868546, Time  0.170055
2021-09-11 08:11:20.121379 : Epoch  3, Batch    961, Loss  0.875211, Average Loss  0.869443, Time  0.237332
2021-09-11 08:11:20.498036 : Epoch  4, Batch   1889, Loss  0.859858, Average Loss  0.868477, Time  0.176999
2021-09-11 08:11:22.127034 : Epoch  4, Batch   1890, Loss  0.872351, Average Loss  0.868572, Time  0.172374
2021-09-11 08:11:22.710836 : Epoch  3, Batch    962, Loss  0.854905, Average Loss  0.869392, Time  0.237658
2021-09-11 08:11:23.728026 : Epoch  4, Batch   1891, Loss  0.873787, Average Loss  0.868493, Time  0.179597
2021-09-11 08:11:25.309392 : Epoch  3, Batch    963, Loss  0.845052, Average Loss  0.869211, Time  0.237915
2021-09-11 08:11:25.367865 : Epoch  4, Batch   1892, Loss  0.865634, Average Loss  0.868522, Time  0.175944
2021-09-11 08:11:26.955831 : Epoch  4, Batch   1893, Loss  0.894356, Average Loss  0.868635, Time  0.173187
2021-09-11 08:11:27.892365 : Epoch  3, Batch    964, Loss  0.870742, Average Loss  0.869289, Time  0.237433
2021-09-11 08:11:28.566037 : Epoch  4, Batch   1894, Loss  0.862407, Average Loss  0.868544, Time  0.172569
2021-09-11 08:11:30.164034 : Epoch  4, Batch   1895, Loss  0.869696, Average Loss  0.868529, Time  0.171551
2021-09-11 08:11:30.490354 : Epoch  3, Batch    965, Loss  0.851406, Average Loss  0.869248, Time  0.237196
2021-09-11 08:11:31.755030 : Epoch  4, Batch   1896, Loss  0.838253, Average Loss  0.868308, Time  0.172954
2021-09-11 08:11:33.064908 : Epoch  3, Batch    966, Loss  0.861093, Average Loss  0.869200, Time  0.237077
2021-09-11 08:11:33.354756 : Epoch  4, Batch   1897, Loss  0.861368, Average Loss  0.868234, Time  0.170856
2021-09-11 08:11:34.958035 : Epoch  4, Batch   1898, Loss  0.838338, Average Loss  0.868097, Time  0.174248
2021-09-11 08:11:35.650860 : Epoch  3, Batch    967, Loss  0.853764, Average Loss  0.869142, Time  0.238398
2021-09-11 08:11:36.551167 : Epoch  4, Batch   1899, Loss  0.860157, Average Loss  0.868063, Time  0.171197
2021-09-11 08:11:38.137034 : Epoch  4, Batch   1900, Loss  0.875031, Average Loss  0.868168, Time  0.174485
2021-09-11 08:11:38.245528 : Epoch  3, Batch    968, Loss  0.851770, Average Loss  0.869089, Time  0.237206
2021-09-11 08:11:39.730827 : Epoch  4, Batch   1901, Loss  0.838171, Average Loss  0.868048, Time  0.172983
2021-09-11 08:11:40.826810 : Epoch  3, Batch    969, Loss  0.862512, Average Loss  0.869071, Time  0.237470
2021-09-11 08:11:41.340033 : Epoch  4, Batch   1902, Loss  0.876644, Average Loss  0.868225, Time  0.172278
2021-09-11 08:11:42.924775 : Epoch  4, Batch   1903, Loss  0.871867, Average Loss  0.868266, Time  0.172770
2021-09-11 08:11:43.412809 : Epoch  3, Batch    970, Loss  0.881013, Average Loss  0.869182, Time  0.237612
2021-09-11 08:11:44.513972 : Epoch  4, Batch   1904, Loss  0.864900, Average Loss  0.868247, Time  0.174439
2021-09-11 08:11:45.993039 : Epoch  3, Batch    971, Loss  0.873308, Average Loss  0.869203, Time  0.238070
2021-09-11 08:11:46.173841 : Epoch  4, Batch   1905, Loss  0.877560, Average Loss  0.868311, Time  0.173076
2021-09-11 08:11:47.787028 : Epoch  4, Batch   1906, Loss  0.863056, Average Loss  0.868226, Time  0.174877
2021-09-11 08:11:48.580879 : Epoch  3, Batch    972, Loss  0.881003, Average Loss  0.869396, Time  0.237057
2021-09-11 08:11:49.365793 : Epoch  4, Batch   1907, Loss  0.884903, Average Loss  0.868274, Time  0.171277
2021-09-11 08:11:50.946757 : Epoch  4, Batch   1908, Loss  0.879725, Average Loss  0.868387, Time  0.169978
2021-09-11 08:11:51.180796 : Epoch  3, Batch    973, Loss  0.853879, Average Loss  0.869375, Time  0.244008
2021-09-11 08:11:52.547864 : Epoch  4, Batch   1909, Loss  0.863032, Average Loss  0.868370, Time  0.174943
2021-09-11 08:11:53.767985 : Epoch  3, Batch    974, Loss  0.868012, Average Loss  0.869339, Time  0.237142
2021-09-11 08:11:54.133028 : Epoch  4, Batch   1910, Loss  0.824968, Average Loss  0.868264, Time  0.169751
2021-09-11 08:11:55.735788 : Epoch  4, Batch   1911, Loss  0.874930, Average Loss  0.868462, Time  0.177704
2021-09-11 08:11:56.360030 : Epoch  3, Batch    975, Loss  0.862702, Average Loss  0.869302, Time  0.238428
2021-09-11 08:11:57.319847 : Epoch  4, Batch   1912, Loss  0.883348, Average Loss  0.868630, Time  0.169914
2021-09-11 08:11:58.903758 : Epoch  4, Batch   1913, Loss  0.854706, Average Loss  0.868614, Time  0.171026
2021-09-11 08:11:58.946407 : Epoch  3, Batch    976, Loss  0.858132, Average Loss  0.869285, Time  0.237342
2021-09-11 08:12:00.493860 : Epoch  4, Batch   1914, Loss  0.874347, Average Loss  0.868858, Time  0.169562
2021-09-11 08:12:01.515949 : Epoch  3, Batch    977, Loss  0.856010, Average Loss  0.869096, Time  0.237159
2021-09-11 08:12:02.091029 : Epoch  4, Batch   1915, Loss  0.883429, Average Loss  0.869078, Time  0.175497
2021-09-11 08:12:03.695892 : Epoch  4, Batch   1916, Loss  0.861864, Average Loss  0.869079, Time  0.172599
2021-09-11 08:12:04.101988 : Epoch  3, Batch    978, Loss  0.867158, Average Loss  0.869112, Time  0.237206
2021-09-11 08:12:05.304744 : Epoch  4, Batch   1917, Loss  0.869900, Average Loss  0.869130, Time  0.169603
2021-09-11 08:12:06.673383 : Epoch  3, Batch    979, Loss  0.853191, Average Loss  0.868962, Time  0.237259
2021-09-11 08:12:06.917039 : Epoch  4, Batch   1918, Loss  0.873635, Average Loss  0.869032, Time  0.170018
2021-09-11 08:12:08.500838 : Epoch  4, Batch   1919, Loss  0.858620, Average Loss  0.868864, Time  0.174760
2021-09-11 08:12:09.255912 : Epoch  3, Batch    980, Loss  0.862735, Average Loss  0.868901, Time  0.239012
2021-09-11 08:12:10.108026 : Epoch  4, Batch   1920, Loss  0.874913, Average Loss  0.869146, Time  0.178422
2021-09-11 08:12:11.711854 : Epoch  4, Batch   1921, Loss  0.873728, Average Loss  0.869116, Time  0.169731
2021-09-11 08:12:11.845814 : Epoch  3, Batch    981, Loss  0.849025, Average Loss  0.868885, Time  0.238541
2021-09-11 08:12:13.312839 : Epoch  4, Batch   1922, Loss  0.857145, Average Loss  0.868901, Time  0.174682
2021-09-11 08:12:14.426909 : Epoch  3, Batch    982, Loss  0.862135, Average Loss  0.868811, Time  0.237324
2021-09-11 08:12:14.923030 : Epoch  4, Batch   1923, Loss  0.861182, Average Loss  0.868870, Time  0.177752
2021-09-11 08:12:16.515831 : Epoch  4, Batch   1924, Loss  0.873431, Average Loss  0.868901, Time  0.172563
2021-09-11 08:12:17.015782 : Epoch  3, Batch    983, Loss  0.864198, Average Loss  0.868781, Time  0.238343
2021-09-11 08:12:18.108740 : Epoch  4, Batch   1925, Loss  0.875036, Average Loss  0.869033, Time  0.171299
2021-09-11 08:12:19.590100 : Epoch  3, Batch    984, Loss  0.885132, Average Loss  0.869026, Time  0.237664
2021-09-11 08:12:19.710747 : Epoch  4, Batch   1926, Loss  0.858274, Average Loss  0.868955, Time  0.176625
2021-09-11 08:12:21.303735 : Epoch  4, Batch   1927, Loss  0.864845, Average Loss  0.868962, Time  0.175773
2021-09-11 08:12:22.174371 : Epoch  3, Batch    985, Loss  0.876947, Average Loss  0.868999, Time  0.237082
2021-09-11 08:12:22.894738 : Epoch  4, Batch   1928, Loss  0.868984, Average Loss  0.868847, Time  0.170594
2021-09-11 08:12:24.490041 : Epoch  4, Batch   1929, Loss  0.863445, Average Loss  0.868854, Time  0.169775
2021-09-11 08:12:24.757363 : Epoch  3, Batch    986, Loss  0.853328, Average Loss  0.868982, Time  0.237330
2021-09-11 08:12:26.100767 : Epoch  4, Batch   1930, Loss  0.893564, Average Loss  0.869084, Time  0.169908
2021-09-11 08:12:27.340799 : Epoch  3, Batch    987, Loss  0.854198, Average Loss  0.868836, Time  0.238394
2021-09-11 08:12:27.702809 : Epoch  4, Batch   1931, Loss  0.873878, Average Loss  0.869185, Time  0.175795
2021-09-11 08:12:29.305030 : Epoch  4, Batch   1932, Loss  0.850733, Average Loss  0.868987, Time  0.169973
2021-09-11 08:12:29.923792 : Epoch  3, Batch    988, Loss  0.863834, Average Loss  0.868830, Time  0.237191
2021-09-11 08:12:30.908074 : Epoch  4, Batch   1933, Loss  0.826078, Average Loss  0.868715, Time  0.173467
2021-09-11 08:12:32.550039 : Epoch  4, Batch   1934, Loss  0.892217, Average Loss  0.868941, Time  0.170233
2021-09-11 08:12:34.156061 : Epoch  4, Batch   1935, Loss  0.890539, Average Loss  0.869062, Time  0.171102
2021-09-11 08:12:35.762923 : Epoch  4, Batch   1936, Loss  0.843143, Average Loss  0.869013, Time  0.170381
2021-09-11 08:12:37.372750 : Epoch  4, Batch   1937, Loss  0.857024, Average Loss  0.868864, Time  0.170352
2021-09-11 08:12:38.978064 : Epoch  4, Batch   1938, Loss  0.871414, Average Loss  0.868798, Time  0.174542
2021-09-11 08:12:40.578785 : Epoch  4, Batch   1939, Loss  0.871320, Average Loss  0.868924, Time  0.171840
2021-09-11 08:12:42.222040 : Epoch  4, Batch   1940, Loss  0.875012, Average Loss  0.868972, Time  0.170031
2021-09-11 08:12:43.827771 : Epoch  4, Batch   1941, Loss  0.857989, Average Loss  0.868902, Time  0.170721
2021-09-11 08:12:45.432837 : Epoch  4, Batch   1942, Loss  0.891429, Average Loss  0.868980, Time  0.170083
2021-09-11 08:12:47.073277 : Epoch  4, Batch   1943, Loss  0.833000, Average Loss  0.868857, Time  0.170604
2021-09-11 08:12:48.650803 : Epoch  4, Batch   1944, Loss  0.909087, Average Loss  0.869075, Time  0.176464
2021-09-11 08:12:50.260335 : Epoch  4, Batch   1945, Loss  0.872434, Average Loss  0.869023, Time  0.172613
2021-09-11 08:12:51.859042 : Epoch  4, Batch   1946, Loss  0.836923, Average Loss  0.868857, Time  0.177796
2021-09-11 08:12:53.462740 : Epoch  4, Batch   1947, Loss  0.818762, Average Loss  0.868684, Time  0.172971
2021-09-11 08:12:55.060038 : Epoch  4, Batch   1948, Loss  0.886172, Average Loss  0.868733, Time  0.174256
2021-09-11 08:12:56.667866 : Epoch  4, Batch   1949, Loss  0.890487, Average Loss  0.868899, Time  0.183011
2021-09-11 08:12:58.301764 : Epoch  4, Batch   1950, Loss  0.850803, Average Loss  0.868720, Time  0.186161
2021-09-11 08:12:59.904837 : Epoch  4, Batch   1951, Loss  0.857824, Average Loss  0.868726, Time  0.169874
2021-09-11 08:13:01.513812 : Epoch  4, Batch   1952, Loss  0.872077, Average Loss  0.868556, Time  0.175172
2021-09-11 08:13:03.105767 : Epoch  4, Batch   1953, Loss  0.851373, Average Loss  0.868496, Time  0.169805
2021-09-11 08:13:04.690767 : Epoch  4, Batch   1954, Loss  0.845084, Average Loss  0.868347, Time  0.170482
2021-09-11 08:13:06.283030 : Epoch  4, Batch   1955, Loss  0.846660, Average Loss  0.868254, Time  0.179108
2021-09-11 08:13:07.866735 : Epoch  4, Batch   1956, Loss  0.861099, Average Loss  0.868208, Time  0.171367
2021-09-11 08:13:09.483031 : Epoch  4, Batch   1957, Loss  0.878382, Average Loss  0.868265, Time  0.173872
2021-09-11 08:13:11.086785 : Epoch  4, Batch   1958, Loss  0.863742, Average Loss  0.868201, Time  0.169817
2021-09-11 08:13:12.686826 : Epoch  4, Batch   1959, Loss  0.850250, Average Loss  0.868144, Time  0.170052
2021-09-11 08:13:14.302836 : Epoch  4, Batch   1960, Loss  0.901290, Average Loss  0.868330, Time  0.193383
2021-09-11 08:13:15.896773 : Epoch  4, Batch   1961, Loss  0.861291, Average Loss  0.868360, Time  0.173275
2021-09-11 08:13:17.623014 : Epoch  4, Batch   1962, Loss  0.868348, Average Loss  0.868452, Time  0.176327
2021-09-11 08:13:19.216033 : Epoch  4, Batch   1963, Loss  0.860296, Average Loss  0.868493, Time  0.173859
2021-09-11 08:13:20.824791 : Epoch  4, Batch   1964, Loss  0.825262, Average Loss  0.868312, Time  0.172054
2021-09-11 08:13:22.425085 : Epoch  4, Batch   1965, Loss  0.903569, Average Loss  0.868347, Time  0.173773
2021-09-11 08:13:24.066031 : Epoch  4, Batch   1966, Loss  0.845520, Average Loss  0.868305, Time  0.174839
2021-09-11 08:13:25.654808 : Epoch  4, Batch   1967, Loss  0.862231, Average Loss  0.868222, Time  0.169874
2021-09-11 08:16:32.218726 : CheckPoint: Validation Loss  0.00029019, Best Loss  0.00029019
2021-09-11 08:16:32.250555 : Best Model Updated
2021-09-11 08:16:35.592035 : Epoch  3, Batch    989, Loss  0.861192, Average Loss  0.868767, Time  0.269574
2021-09-11 08:16:38.169328 : Epoch  3, Batch    990, Loss  0.898311, Average Loss  0.868963, Time  0.239617
2021-09-11 08:16:40.749831 : Epoch  3, Batch    991, Loss  0.870995, Average Loss  0.868943, Time  0.237962
2021-09-11 08:16:43.344596 : Epoch  3, Batch    992, Loss  0.840754, Average Loss  0.868872, Time  0.238636
2021-09-11 08:16:45.931751 : Epoch  3, Batch    993, Loss  0.879486, Average Loss  0.868982, Time  0.237050
2021-09-11 08:16:48.509346 : Epoch  3, Batch    994, Loss  0.867336, Average Loss  0.869002, Time  0.238076
2021-09-11 08:16:51.088479 : Epoch  3, Batch    995, Loss  0.866133, Average Loss  0.868932, Time  0.236940
2021-09-11 08:16:53.680380 : Epoch  3, Batch    996, Loss  0.863846, Average Loss  0.869005, Time  0.237858
2021-09-11 08:16:56.254030 : Epoch  3, Batch    997, Loss  0.888900, Average Loss  0.868923, Time  0.237091
2021-09-11 08:16:58.832971 : Epoch  3, Batch    998, Loss  0.868532, Average Loss  0.868993, Time  0.237369
2021-09-11 08:17:01.412029 : Epoch  3, Batch    999, Loss  0.861422, Average Loss  0.868831, Time  0.237400
2021-09-11 08:17:03.998024 : Epoch  3, Batch   1000, Loss  0.876162, Average Loss  0.868824, Time  0.238361
2021-09-11 08:17:06.585513 : Epoch  3, Batch   1001, Loss  0.866744, Average Loss  0.868789, Time  0.237186
2021-09-11 08:17:09.177084 : Epoch  3, Batch   1002, Loss  0.872171, Average Loss  0.868810, Time  0.239098
2021-09-11 08:17:11.756071 : Epoch  3, Batch   1003, Loss  0.857384, Average Loss  0.868682, Time  0.237758
2021-09-11 08:17:14.331978 : Epoch  3, Batch   1004, Loss  0.900943, Average Loss  0.868737, Time  0.237612
2021-09-11 08:17:16.915845 : Epoch  3, Batch   1005, Loss  0.864286, Average Loss  0.868638, Time  0.238234
2021-09-11 08:17:19.512896 : Epoch  3, Batch   1006, Loss  0.855401, Average Loss  0.868601, Time  0.238364
2021-09-11 08:17:22.084971 : Epoch  3, Batch   1007, Loss  0.873394, Average Loss  0.868649, Time  0.237670
2021-09-11 08:17:24.662932 : Epoch  3, Batch   1008, Loss  0.873672, Average Loss  0.868737, Time  0.237392
2021-09-11 08:17:27.244448 : Epoch  3, Batch   1009, Loss  0.879019, Average Loss  0.868768, Time  0.237689
2021-09-11 08:17:29.818614 : Epoch  3, Batch   1010, Loss  0.857277, Average Loss  0.868695, Time  0.237325
2021-09-11 08:17:32.399900 : Epoch  3, Batch   1011, Loss  0.852189, Average Loss  0.868647, Time  0.237563
2021-09-11 08:17:34.972376 : Epoch  3, Batch   1012, Loss  0.872068, Average Loss  0.868675, Time  0.237910
2021-09-11 08:17:37.556085 : Epoch  3, Batch   1013, Loss  0.896489, Average Loss  0.868825, Time  0.237361
2021-09-11 08:17:40.127501 : Epoch  3, Batch   1014, Loss  0.881914, Average Loss  0.868855, Time  0.237612
2021-09-11 08:17:42.700106 : Epoch  3, Batch   1015, Loss  0.864734, Average Loss  0.868756, Time  0.239341
2021-09-11 08:17:45.270474 : Epoch  3, Batch   1016, Loss  0.865040, Average Loss  0.868717, Time  0.237139
2021-09-11 08:17:47.846149 : Epoch  3, Batch   1017, Loss  0.868643, Average Loss  0.868789, Time  0.237331
2021-09-11 08:17:50.423778 : Epoch  3, Batch   1018, Loss  0.874937, Average Loss  0.868780, Time  0.237303
2021-09-11 08:17:52.999572 : Epoch  3, Batch   1019, Loss  0.855718, Average Loss  0.868663, Time  0.236779
2021-09-11 08:17:55.587337 : Epoch  3, Batch   1020, Loss  0.860095, Average Loss  0.868632, Time  0.238392
2021-09-11 08:17:58.168368 : Epoch  3, Batch   1021, Loss  0.891273, Average Loss  0.868669, Time  0.237123
2021-09-11 08:18:00.756012 : Epoch  3, Batch   1022, Loss  0.841995, Average Loss  0.868528, Time  0.239058
2021-09-11 08:18:03.350362 : Epoch  3, Batch   1023, Loss  0.867199, Average Loss  0.868478, Time  0.238484
2021-09-11 08:18:05.936010 : Epoch  3, Batch   1024, Loss  0.874817, Average Loss  0.868570, Time  0.238471
2021-09-11 08:18:06.596726 : CheckPoint: Validation Loss  0.00061815, Best Loss  0.00057296
2021-09-11 08:18:08.254871 : Epoch  4, Batch   1968, Loss  0.881394, Average Loss  0.868387, Time  0.178711
2021-09-11 08:18:08.520381 : Epoch  3, Batch   1025, Loss  0.844156, Average Loss  0.868526, Time  0.236946
2021-09-11 08:18:09.861002 : Epoch  4, Batch   1969, Loss  0.867938, Average Loss  0.868261, Time  0.174400
2021-09-11 08:18:11.092091 : Epoch  3, Batch   1026, Loss  0.866279, Average Loss  0.868423, Time  0.237921
2021-09-11 08:18:11.453807 : Epoch  4, Batch   1970, Loss  0.874255, Average Loss  0.868290, Time  0.179457
2021-09-11 08:18:13.105018 : Epoch  4, Batch   1971, Loss  0.879793, Average Loss  0.868386, Time  0.169843
2021-09-11 08:18:13.667611 : Epoch  3, Batch   1027, Loss  0.857688, Average Loss  0.868329, Time  0.238732
2021-09-11 08:18:14.713791 : Epoch  4, Batch   1972, Loss  0.923770, Average Loss  0.868542, Time  0.172159
2021-09-11 08:18:16.238620 : Epoch  3, Batch   1028, Loss  0.867330, Average Loss  0.868311, Time  0.238562
2021-09-11 08:18:16.333019 : Epoch  4, Batch   1973, Loss  0.878522, Average Loss  0.868502, Time  0.173435
2021-09-11 08:18:17.937762 : Epoch  4, Batch   1974, Loss  0.850720, Average Loss  0.868396, Time  0.170539
2021-09-11 08:18:18.807960 : Epoch  3, Batch   1029, Loss  0.848960, Average Loss  0.868186, Time  0.237504
2021-09-11 08:18:19.559035 : Epoch  4, Batch   1975, Loss  0.857597, Average Loss  0.868405, Time  0.171034
2021-09-11 08:18:21.186829 : Epoch  4, Batch   1976, Loss  0.861379, Average Loss  0.868324, Time  0.174692
2021-09-11 08:18:21.393257 : Epoch  3, Batch   1030, Loss  0.863691, Average Loss  0.868199, Time  0.237637
2021-09-11 08:18:22.791791 : Epoch  4, Batch   1977, Loss  0.887443, Average Loss  0.868340, Time  0.174049
2021-09-11 08:18:23.970169 : Epoch  3, Batch   1031, Loss  0.879336, Average Loss  0.868346, Time  0.238158
2021-09-11 08:18:24.372755 : Epoch  4, Batch   1978, Loss  0.865019, Average Loss  0.868506, Time  0.172917
2021-09-11 08:18:25.978795 : Epoch  4, Batch   1979, Loss  0.881386, Average Loss  0.868621, Time  0.179863
2021-09-11 08:18:26.554787 : Epoch  3, Batch   1032, Loss  0.860996, Average Loss  0.868339, Time  0.237577
2021-09-11 08:18:27.579822 : Epoch  4, Batch   1980, Loss  0.868480, Average Loss  0.868526, Time  0.169894
2021-09-11 08:18:29.133382 : Epoch  3, Batch   1033, Loss  0.891002, Average Loss  0.868455, Time  0.237414
2021-09-11 08:18:29.213080 : Epoch  4, Batch   1981, Loss  0.864566, Average Loss  0.868515, Time  0.173277
2021-09-11 08:18:30.813782 : Epoch  4, Batch   1982, Loss  0.866549, Average Loss  0.868497, Time  0.173440
2021-09-11 08:18:31.715855 : Epoch  3, Batch   1034, Loss  0.867168, Average Loss  0.868427, Time  0.238192
2021-09-11 08:18:32.438758 : Epoch  4, Batch   1983, Loss  0.880833, Average Loss  0.868678, Time  0.180707
2021-09-11 08:18:34.032236 : Epoch  4, Batch   1984, Loss  0.880725, Average Loss  0.868588, Time  0.169868
2021-09-11 08:18:34.301887 : Epoch  3, Batch   1035, Loss  0.881002, Average Loss  0.868522, Time  0.237537
2021-09-11 08:18:35.665816 : Epoch  4, Batch   1985, Loss  0.862324, Average Loss  0.868383, Time  0.170023
2021-09-11 08:18:36.872833 : Epoch  3, Batch   1036, Loss  0.860769, Average Loss  0.868509, Time  0.237452
2021-09-11 08:18:37.279818 : Epoch  4, Batch   1986, Loss  0.865172, Average Loss  0.868481, Time  0.171731
2021-09-11 08:18:38.883866 : Epoch  4, Batch   1987, Loss  0.844435, Average Loss  0.868211, Time  0.170099
2021-09-11 08:18:39.442439 : Epoch  3, Batch   1037, Loss  0.880870, Average Loss  0.868574, Time  0.237016
2021-09-11 08:18:40.471745 : Epoch  4, Batch   1988, Loss  0.860138, Average Loss  0.868355, Time  0.172866
2021-09-11 08:18:42.021902 : Epoch  3, Batch   1038, Loss  0.866346, Average Loss  0.868522, Time  0.237850
2021-09-11 08:18:42.062786 : Epoch  4, Batch   1989, Loss  0.855689, Average Loss  0.868485, Time  0.171047
2021-09-11 08:18:43.673027 : Epoch  4, Batch   1990, Loss  0.850685, Average Loss  0.868366, Time  0.170069
2021-09-11 08:18:44.603016 : Epoch  3, Batch   1039, Loss  0.864011, Average Loss  0.868590, Time  0.238662
2021-09-11 08:18:45.336869 : Epoch  4, Batch   1991, Loss  0.879298, Average Loss  0.868441, Time  0.176949
2021-09-11 08:18:46.962738 : Epoch  4, Batch   1992, Loss  0.879672, Average Loss  0.868403, Time  0.171090
2021-09-11 08:18:47.178846 : Epoch  3, Batch   1040, Loss  0.873661, Average Loss  0.868564, Time  0.240260
2021-09-11 08:18:48.555018 : Epoch  4, Batch   1993, Loss  0.850767, Average Loss  0.868312, Time  0.169934
2021-09-11 08:18:49.754682 : Epoch  3, Batch   1041, Loss  0.879970, Average Loss  0.868644, Time  0.237978
2021-09-11 08:18:50.161745 : Epoch  4, Batch   1994, Loss  0.876615, Average Loss  0.868280, Time  0.174407
2021-09-11 08:18:51.741802 : Epoch  4, Batch   1995, Loss  0.866388, Average Loss  0.868396, Time  0.177954
2021-09-11 08:18:52.342158 : Epoch  3, Batch   1042, Loss  0.876725, Average Loss  0.868706, Time  0.237235
2021-09-11 08:18:53.360037 : Epoch  4, Batch   1996, Loss  0.866303, Average Loss  0.868371, Time  0.176842
2021-09-11 08:18:54.922826 : Epoch  3, Batch   1043, Loss  0.861012, Average Loss  0.868632, Time  0.237363
2021-09-11 08:18:54.957028 : Epoch  4, Batch   1997, Loss  0.857198, Average Loss  0.868411, Time  0.172842
2021-09-11 08:18:56.588015 : Epoch  4, Batch   1998, Loss  0.888420, Average Loss  0.868581, Time  0.177840
2021-09-11 08:18:57.503010 : Epoch  3, Batch   1044, Loss  0.871182, Average Loss  0.868731, Time  0.238924
2021-09-11 08:18:58.189808 : Epoch  4, Batch   1999, Loss  0.859775, Average Loss  0.868598, Time  0.169852
2021-09-11 08:18:59.766153 : Epoch  4, Batch   2000, Loss  0.882401, Average Loss  0.868517, Time  0.172058
2021-09-11 08:19:00.077865 : Epoch  3, Batch   1045, Loss  0.870381, Average Loss  0.868871, Time  0.239197
2021-09-11 08:19:01.364027 : Epoch  4, Batch   2001, Loss  0.854335, Average Loss  0.868457, Time  0.172647
2021-09-11 08:19:02.649041 : Epoch  3, Batch   1046, Loss  0.876853, Average Loss  0.868855, Time  0.237662
2021-09-11 08:19:02.959773 : Epoch  4, Batch   2002, Loss  0.881408, Average Loss  0.868521, Time  0.170074
2021-09-11 08:19:04.547743 : Epoch  4, Batch   2003, Loss  0.854551, Average Loss  0.868517, Time  0.170845
2021-09-11 08:19:05.229801 : Epoch  3, Batch   1047, Loss  0.863025, Average Loss  0.868911, Time  0.240054
2021-09-11 08:19:06.170030 : Epoch  4, Batch   2004, Loss  0.868424, Average Loss  0.868616, Time  0.174688
2021-09-11 08:19:07.826860 : Epoch  4, Batch   2005, Loss  0.858410, Average Loss  0.868535, Time  0.181385
2021-09-11 08:19:09.482799 : Epoch  4, Batch   2006, Loss  0.861486, Average Loss  0.868533, Time  0.174034
2021-09-11 08:19:10.415992 : Epoch  3, Batch   1049, Loss  0.853720, Average Loss  0.869034, Time  0.237865
2021-09-11 08:19:11.090769 : Epoch  4, Batch   2007, Loss  0.850729, Average Loss  0.868235, Time  0.171428
2021-09-11 08:19:12.714752 : Epoch  4, Batch   2008, Loss  0.868006, Average Loss  0.868228, Time  0.170376
2021-09-11 08:19:13.000863 : Epoch  3, Batch   1050, Loss  0.886502, Average Loss  0.869141, Time  0.238564
2021-09-11 08:19:14.337737 : Epoch  4, Batch   2009, Loss  0.888179, Average Loss  0.868308, Time  0.173327
2021-09-11 08:19:15.590050 : Epoch  3, Batch   1051, Loss  0.851528, Average Loss  0.869113, Time  0.238055
2021-09-11 08:19:15.953815 : Epoch  4, Batch   2010, Loss  0.869176, Average Loss  0.868352, Time  0.172053
2021-09-11 08:19:17.617045 : Epoch  4, Batch   2011, Loss  0.848510, Average Loss  0.868322, Time  0.179493
2021-09-11 08:19:18.158846 : Epoch  3, Batch   1052, Loss  0.862544, Average Loss  0.869132, Time  0.237477
2021-09-11 08:19:19.235737 : Epoch  4, Batch   2012, Loss  0.850238, Average Loss  0.868317, Time  0.169998
2021-09-11 08:19:20.747012 : Epoch  3, Batch   1053, Loss  0.875835, Average Loss  0.869077, Time  0.237371
2021-09-11 08:19:20.865030 : Epoch  4, Batch   2013, Loss  0.877326, Average Loss  0.868349, Time  0.169798
2021-09-11 08:19:22.439748 : Epoch  4, Batch   2014, Loss  0.869504, Average Loss  0.868347, Time  0.171423
2021-09-11 08:19:23.329919 : Epoch  3, Batch   1054, Loss  0.883376, Average Loss  0.869093, Time  0.238126
2021-09-11 08:19:24.056016 : Epoch  4, Batch   2015, Loss  0.888061, Average Loss  0.868474, Time  0.170035
2021-09-11 08:19:25.682030 : Epoch  4, Batch   2016, Loss  0.883572, Average Loss  0.868505, Time  0.173392
2021-09-11 08:19:25.912364 : Epoch  3, Batch   1055, Loss  0.862328, Average Loss  0.869061, Time  0.240340
2021-09-11 08:19:27.292032 : Epoch  4, Batch   2017, Loss  0.881467, Average Loss  0.868568, Time  0.172428
2021-09-11 08:19:28.487835 : Epoch  3, Batch   1056, Loss  0.864803, Average Loss  0.869145, Time  0.237568
2021-09-11 08:19:28.894784 : Epoch  4, Batch   2018, Loss  0.883708, Average Loss  0.868597, Time  0.171890
2021-09-11 08:19:30.484012 : Epoch  4, Batch   2019, Loss  0.843387, Average Loss  0.868407, Time  0.175750
2021-09-11 08:19:31.076409 : Epoch  3, Batch   1057, Loss  0.888890, Average Loss  0.869330, Time  0.237344
2021-09-11 08:19:32.090834 : Epoch  4, Batch   2020, Loss  0.877599, Average Loss  0.868471, Time  0.172440
2021-09-11 08:19:33.648981 : Epoch  3, Batch   1058, Loss  0.867347, Average Loss  0.869280, Time  0.237690
2021-09-11 08:19:33.689033 : Epoch  4, Batch   2021, Loss  0.841778, Average Loss  0.868336, Time  0.173015
2021-09-11 08:19:35.301911 : Epoch  4, Batch   2022, Loss  0.840064, Average Loss  0.868000, Time  0.176338
2021-09-11 08:19:36.231220 : Epoch  3, Batch   1059, Loss  0.883439, Average Loss  0.869402, Time  0.237638
2021-09-11 08:19:36.869078 : Epoch  4, Batch   2023, Loss  0.867433, Average Loss  0.868023, Time  0.171775
2021-09-11 08:19:38.515042 : Epoch  4, Batch   2024, Loss  0.845262, Average Loss  0.867961, Time  0.170215
2021-09-11 08:19:38.807801 : Epoch  3, Batch   1060, Loss  0.872010, Average Loss  0.869396, Time  0.240439
2021-09-11 08:19:40.112029 : Epoch  4, Batch   2025, Loss  0.883127, Average Loss  0.868033, Time  0.173524
2021-09-11 08:19:41.376408 : Epoch  3, Batch   1061, Loss  0.882585, Average Loss  0.869392, Time  0.238240
2021-09-11 08:19:41.733831 : Epoch  4, Batch   2026, Loss  0.861771, Average Loss  0.867930, Time  0.176602
2021-09-11 08:19:43.337036 : Epoch  4, Batch   2027, Loss  0.867044, Average Loss  0.867787, Time  0.175623
2021-09-11 08:19:43.949874 : Epoch  3, Batch   1062, Loss  0.874698, Average Loss  0.869453, Time  0.238854
2021-09-11 08:19:44.943841 : Epoch  4, Batch   2028, Loss  0.866046, Average Loss  0.867688, Time  0.171616
2021-09-11 08:19:46.545038 : Epoch  4, Batch   2029, Loss  0.880180, Average Loss  0.867852, Time  0.174382
2021-09-11 08:19:46.546392 : Epoch  3, Batch   1063, Loss  0.859345, Average Loss  0.869421, Time  0.237326
2021-09-11 08:19:48.136799 : Epoch  4, Batch   2030, Loss  0.884252, Average Loss  0.867828, Time  0.170654
2021-09-11 08:19:49.141089 : Epoch  3, Batch   1064, Loss  0.874754, Average Loss  0.869496, Time  0.237715
2021-09-11 08:19:49.740789 : Epoch  4, Batch   2031, Loss  0.861605, Average Loss  0.867897, Time  0.175762
2021-09-11 08:19:51.336024 : Epoch  4, Batch   2032, Loss  0.845987, Average Loss  0.867964, Time  0.172833
2021-09-11 08:19:51.716933 : Epoch  3, Batch   1065, Loss  0.864713, Average Loss  0.869389, Time  0.237419
2021-09-11 08:19:52.938805 : Epoch  4, Batch   2033, Loss  0.845150, Average Loss  0.867793, Time  0.174283
2021-09-11 08:19:54.294810 : Epoch  3, Batch   1066, Loss  0.874759, Average Loss  0.869400, Time  0.238081
2021-09-11 08:19:54.550851 : Epoch  4, Batch   2034, Loss  0.865855, Average Loss  0.867846, Time  0.174963
2021-09-11 08:19:56.134034 : Epoch  4, Batch   2035, Loss  0.875376, Average Loss  0.867878, Time  0.169965
2021-09-11 08:19:56.878207 : Epoch  3, Batch   1067, Loss  0.877826, Average Loss  0.869361, Time  0.238067
2021-09-11 08:19:57.749851 : Epoch  4, Batch   2036, Loss  0.831183, Average Loss  0.867678, Time  0.169683
2021-09-11 08:19:59.369033 : Epoch  4, Batch   2037, Loss  0.868455, Average Loss  0.867679, Time  0.184943
2021-09-11 08:19:59.453988 : Epoch  3, Batch   1068, Loss  0.872143, Average Loss  0.869364, Time  0.240813
2021-09-11 08:20:00.977039 : Epoch  4, Batch   2038, Loss  0.868356, Average Loss  0.867658, Time  0.172224
2021-09-11 08:20:02.026896 : Epoch  3, Batch   1069, Loss  0.855178, Average Loss  0.869365, Time  0.238680
2021-09-11 08:20:02.560788 : Epoch  4, Batch   2039, Loss  0.879821, Average Loss  0.867663, Time  0.169900
2021-09-11 08:20:04.155793 : Epoch  4, Batch   2040, Loss  0.893172, Average Loss  0.867678, Time  0.173991
2021-09-11 08:20:04.610842 : Epoch  3, Batch   1070, Loss  0.872100, Average Loss  0.869369, Time  0.237456
2021-09-11 08:20:05.777836 : Epoch  4, Batch   2041, Loss  0.850554, Average Loss  0.867544, Time  0.179059
2021-09-11 08:20:07.189387 : Epoch  3, Batch   1071, Loss  0.871319, Average Loss  0.869417, Time  0.237425
2021-09-11 08:20:07.384025 : Epoch  4, Batch   2042, Loss  0.826790, Average Loss  0.867218, Time  0.169969
2021-09-11 08:20:08.982790 : Epoch  4, Batch   2043, Loss  0.892339, Average Loss  0.867216, Time  0.171896
2021-09-11 08:20:09.761809 : Epoch  3, Batch   1072, Loss  0.875482, Average Loss  0.869391, Time  0.241996
2021-09-11 08:20:10.557839 : Epoch  4, Batch   2044, Loss  0.896644, Average Loss  0.867434, Time  0.171478
2021-09-11 08:20:12.154931 : Epoch  4, Batch   2045, Loss  0.853048, Average Loss  0.867545, Time  0.174255
2021-09-11 08:20:12.344022 : Epoch  3, Batch   1073, Loss  0.872218, Average Loss  0.869335, Time  0.239082
2021-09-11 08:20:13.776802 : Epoch  4, Batch   2046, Loss  0.857568, Average Loss  0.867525, Time  0.172557
2021-09-11 08:20:14.912840 : Epoch  3, Batch   1074, Loss  0.883614, Average Loss  0.869427, Time  0.238317
2021-09-11 08:20:15.364741 : Epoch  4, Batch   2047, Loss  0.885267, Average Loss  0.867772, Time  0.174635
2021-09-11 08:20:16.953028 : Epoch  4, Batch   2048, Loss  0.847931, Average Loss  0.867587, Time  0.170524
2021-09-11 08:20:17.487008 : Epoch  3, Batch   1075, Loss  0.875133, Average Loss  0.869435, Time  0.237915
2021-09-11 08:20:18.548764 : Epoch  4, Batch   2049, Loss  0.844808, Average Loss  0.867398, Time  0.170349
2021-09-11 08:20:20.073383 : Epoch  3, Batch   1076, Loss  0.857693, Average Loss  0.869392, Time  0.238524
2021-09-11 08:20:20.133640 : Epoch  4, Batch   2050, Loss  0.858402, Average Loss  0.867415, Time  0.176100
2021-09-11 08:20:21.709757 : Epoch  4, Batch   2051, Loss  0.866388, Average Loss  0.867323, Time  0.170715
2021-09-11 08:20:22.655797 : Epoch  3, Batch   1077, Loss  0.872103, Average Loss  0.869440, Time  0.238162
2021-09-11 08:20:23.309038 : Epoch  4, Batch   2052, Loss  0.855773, Average Loss  0.867138, Time  0.169847
2021-09-11 08:20:24.930024 : Epoch  4, Batch   2053, Loss  0.872802, Average Loss  0.867076, Time  0.171806
2021-09-11 08:20:25.237929 : Epoch  3, Batch   1078, Loss  0.871691, Average Loss  0.869405, Time  0.238152
2021-09-11 08:20:26.534069 : Epoch  4, Batch   2054, Loss  0.842803, Average Loss  0.866882, Time  0.169820
2021-09-11 08:20:27.811381 : Epoch  3, Batch   1079, Loss  0.862459, Average Loss  0.869426, Time  0.238599
2021-09-11 08:20:28.114908 : Epoch  4, Batch   2055, Loss  0.850347, Average Loss  0.866702, Time  0.173602
2021-09-11 08:20:29.732026 : Epoch  4, Batch   2056, Loss  0.887509, Average Loss  0.866790, Time  0.170614
2021-09-11 08:20:30.386984 : Epoch  3, Batch   1080, Loss  0.851447, Average Loss  0.869419, Time  0.238768
2021-09-11 08:20:31.322822 : Epoch  4, Batch   2057, Loss  0.852678, Average Loss  0.866742, Time  0.173195
2021-09-11 08:20:32.934816 : Epoch  4, Batch   2058, Loss  0.842932, Average Loss  0.866536, Time  0.170916
2021-09-11 08:20:32.955825 : Epoch  3, Batch   1081, Loss  0.852296, Average Loss  0.869383, Time  0.237683
2021-09-11 08:20:34.580547 : Epoch  4, Batch   2059, Loss  0.862509, Average Loss  0.866509, Time  0.169913
2021-09-11 08:20:35.519849 : Epoch  3, Batch   1082, Loss  0.870560, Average Loss  0.869417, Time  0.237402
2021-09-11 08:20:36.169094 : Epoch  4, Batch   2060, Loss  0.846561, Average Loss  0.866512, Time  0.172148
2021-09-11 08:20:37.772777 : Epoch  4, Batch   2061, Loss  0.893339, Average Loss  0.866584, Time  0.178701
2021-09-11 08:20:38.096946 : Epoch  3, Batch   1083, Loss  0.893739, Average Loss  0.869435, Time  0.237249
2021-09-11 08:20:39.379807 : Epoch  4, Batch   2062, Loss  0.864577, Average Loss  0.866578, Time  0.176185
2021-09-11 08:20:40.670935 : Epoch  3, Batch   1084, Loss  0.875357, Average Loss  0.869451, Time  0.237363
2021-09-11 08:20:41.021790 : Epoch  4, Batch   2063, Loss  0.848287, Average Loss  0.866573, Time  0.180526
2021-09-11 08:20:42.644743 : Epoch  4, Batch   2064, Loss  0.848609, Average Loss  0.866460, Time  0.186868
2021-09-11 08:20:43.245909 : Epoch  3, Batch   1085, Loss  0.895421, Average Loss  0.869618, Time  0.237815
2021-09-11 08:20:44.254746 : Epoch  4, Batch   2065, Loss  0.851339, Average Loss  0.866246, Time  0.172540
2021-09-11 08:20:45.824627 : Epoch  3, Batch   1086, Loss  0.890601, Average Loss  0.869636, Time  0.237535
2021-09-11 08:20:45.863025 : Epoch  4, Batch   2066, Loss  0.893971, Average Loss  0.866224, Time  0.173599
2021-09-11 08:20:47.485793 : Epoch  4, Batch   2067, Loss  0.860060, Average Loss  0.866274, Time  0.170771
2021-09-11 08:20:48.404356 : Epoch  3, Batch   1087, Loss  0.848327, Average Loss  0.869561, Time  0.237916
2021-09-11 08:20:50.977230 : Epoch  3, Batch   1088, Loss  0.876311, Average Loss  0.869618, Time  0.238311
2021-09-11 08:24:52.980863 : CheckPoint: Validation Loss  0.00030200, Best Loss  0.00029019
2021-09-11 08:24:55.597442 : Epoch  3, Batch   1089, Loss  0.875463, Average Loss  0.869657, Time  0.265558
2021-09-11 08:24:58.193939 : Epoch  3, Batch   1090, Loss  0.899430, Average Loss  0.869711, Time  0.239505
2021-09-11 08:25:00.797094 : Epoch  3, Batch   1091, Loss  0.856736, Average Loss  0.869601, Time  0.238420
2021-09-11 08:25:03.390377 : Epoch  3, Batch   1092, Loss  0.863439, Average Loss  0.869557, Time  0.239450
2021-09-11 08:25:05.995147 : Epoch  3, Batch   1093, Loss  0.872664, Average Loss  0.869574, Time  0.239154
2021-09-11 08:25:08.586857 : Epoch  3, Batch   1094, Loss  0.858719, Average Loss  0.869575, Time  0.237826
2021-09-11 08:25:11.165953 : Epoch  3, Batch   1095, Loss  0.864608, Average Loss  0.869573, Time  0.237237
2021-09-11 08:25:13.758017 : Epoch  3, Batch   1096, Loss  0.885290, Average Loss  0.869718, Time  0.239164
2021-09-11 08:25:16.344783 : Epoch  3, Batch   1097, Loss  0.878193, Average Loss  0.869734, Time  0.239470
2021-09-11 08:25:18.927528 : Epoch  3, Batch   1098, Loss  0.890767, Average Loss  0.869822, Time  0.239825
2021-09-11 08:25:21.525024 : Epoch  3, Batch   1099, Loss  0.877095, Average Loss  0.869774, Time  0.238488
2021-09-11 08:25:24.116950 : Epoch  3, Batch   1100, Loss  0.871131, Average Loss  0.869784, Time  0.238861
2021-09-11 08:25:26.711076 : Epoch  3, Batch   1101, Loss  0.872497, Average Loss  0.869784, Time  0.239114
2021-09-11 08:25:28.075714 : CheckPoint: Validation Loss  0.00059979, Best Loss  0.00057296
2021-09-11 08:25:29.305386 : Epoch  3, Batch   1102, Loss  0.860184, Average Loss  0.869850, Time  0.238244
2021-09-11 08:25:29.700953 : Epoch  4, Batch   2068, Loss  0.896289, Average Loss  0.866503, Time  0.180368
2021-09-11 08:25:31.309744 : Epoch  4, Batch   2069, Loss  0.879359, Average Loss  0.866586, Time  0.179735
2021-09-11 08:25:31.897095 : Epoch  3, Batch   1103, Loss  0.870427, Average Loss  0.869867, Time  0.238733
2021-09-11 08:25:32.939812 : Epoch  4, Batch   2070, Loss  0.863110, Average Loss  0.866530, Time  0.177880
2021-09-11 08:25:34.498510 : Epoch  3, Batch   1104, Loss  0.847007, Average Loss  0.869767, Time  0.238727
2021-09-11 08:25:34.541021 : Epoch  4, Batch   2071, Loss  0.872614, Average Loss  0.866409, Time  0.176074
2021-09-11 08:25:36.134790 : Epoch  4, Batch   2072, Loss  0.835946, Average Loss  0.866243, Time  0.181642
2021-09-11 08:25:37.103087 : Epoch  3, Batch   1105, Loss  0.861328, Average Loss  0.869783, Time  0.238687
2021-09-11 08:25:37.744748 : Epoch  4, Batch   2073, Loss  0.893323, Average Loss  0.866403, Time  0.183249
2021-09-11 08:25:39.336822 : Epoch  4, Batch   2074, Loss  0.854876, Average Loss  0.866251, Time  0.177354
2021-09-11 08:25:39.694841 : Epoch  3, Batch   1106, Loss  0.869989, Average Loss  0.869892, Time  0.237832
2021-09-11 08:25:40.934772 : Epoch  4, Batch   2075, Loss  0.872120, Average Loss  0.866236, Time  0.172793
2021-09-11 08:25:42.278921 : Epoch  3, Batch   1107, Loss  0.877380, Average Loss  0.869868, Time  0.237951
2021-09-11 08:25:42.522024 : Epoch  4, Batch   2076, Loss  0.853444, Average Loss  0.866292, Time  0.174562
2021-09-11 08:25:44.128038 : Epoch  4, Batch   2077, Loss  0.845404, Average Loss  0.866124, Time  0.181362
2021-09-11 08:25:44.859836 : Epoch  3, Batch   1108, Loss  0.888283, Average Loss  0.869942, Time  0.237329
2021-09-11 08:25:45.742039 : Epoch  4, Batch   2078, Loss  0.862012, Average Loss  0.866185, Time  0.175286
2021-09-11 08:25:47.345619 : Epoch  4, Batch   2079, Loss  0.897696, Average Loss  0.866341, Time  0.170028
2021-09-11 08:25:47.449395 : Epoch  3, Batch   1109, Loss  0.870586, Average Loss  0.869990, Time  0.237128
2021-09-11 08:25:48.942041 : Epoch  4, Batch   2080, Loss  0.874224, Average Loss  0.866284, Time  0.169926
2021-09-11 08:25:50.039139 : Epoch  3, Batch   1110, Loss  0.860877, Average Loss  0.869968, Time  0.238404
2021-09-11 08:25:50.547037 : Epoch  4, Batch   2081, Loss  0.892024, Average Loss  0.866293, Time  0.174650
2021-09-11 08:25:52.153028 : Epoch  4, Batch   2082, Loss  0.865543, Average Loss  0.866402, Time  0.178124
2021-09-11 08:25:52.614025 : Epoch  3, Batch   1111, Loss  0.881654, Average Loss  0.869963, Time  0.237168
2021-09-11 08:25:53.768745 : Epoch  4, Batch   2083, Loss  0.879445, Average Loss  0.866476, Time  0.172060
2021-09-11 08:25:55.199376 : Epoch  3, Batch   1112, Loss  0.865960, Average Loss  0.869936, Time  0.238194
2021-09-11 08:25:55.388853 : Epoch  4, Batch   2084, Loss  0.850361, Average Loss  0.866329, Time  0.170070
2021-09-11 08:25:57.021888 : Epoch  4, Batch   2085, Loss  0.864395, Average Loss  0.866222, Time  0.178777
2021-09-11 08:25:57.779998 : Epoch  3, Batch   1113, Loss  0.859149, Average Loss  0.869853, Time  0.237803
2021-09-11 08:25:58.657030 : Epoch  4, Batch   2086, Loss  0.846403, Average Loss  0.866066, Time  0.179068
2021-09-11 08:26:00.284737 : Epoch  4, Batch   2087, Loss  0.871960, Average Loss  0.866045, Time  0.175205
2021-09-11 08:26:00.393005 : Epoch  3, Batch   1114, Loss  0.880027, Average Loss  0.869856, Time  0.238955
2021-09-11 08:26:01.906029 : Epoch  4, Batch   2088, Loss  0.866416, Average Loss  0.866023, Time  0.169998
2021-09-11 08:26:02.985822 : Epoch  3, Batch   1115, Loss  0.858134, Average Loss  0.869796, Time  0.237974
2021-09-11 08:26:03.508043 : Epoch  4, Batch   2089, Loss  0.871418, Average Loss  0.866081, Time  0.173524
2021-09-11 08:26:05.085871 : Epoch  4, Batch   2090, Loss  0.868336, Average Loss  0.866061, Time  0.170531
2021-09-11 08:26:05.567382 : Epoch  3, Batch   1116, Loss  0.845683, Average Loss  0.869691, Time  0.237744
2021-09-11 08:26:06.722025 : Epoch  4, Batch   2091, Loss  0.897674, Average Loss  0.866180, Time  0.193316
2021-09-11 08:26:08.157380 : Epoch  3, Batch   1117, Loss  0.868897, Average Loss  0.869620, Time  0.238812
2021-09-11 08:26:08.345847 : Epoch  4, Batch   2092, Loss  0.850656, Average Loss  0.866105, Time  0.178362
2021-09-11 08:26:09.966035 : Epoch  4, Batch   2093, Loss  0.847308, Average Loss  0.865870, Time  0.176291
2021-09-11 08:26:10.752367 : Epoch  3, Batch   1118, Loss  0.882863, Average Loss  0.869628, Time  0.241038
2021-09-11 08:26:11.576929 : Epoch  4, Batch   2094, Loss  0.879776, Average Loss  0.865957, Time  0.170285
2021-09-11 08:26:13.197793 : Epoch  4, Batch   2095, Loss  0.877607, Average Loss  0.865996, Time  0.173068
2021-09-11 08:26:13.345024 : Epoch  3, Batch   1119, Loss  0.878693, Average Loss  0.869603, Time  0.237521
2021-09-11 08:26:14.807939 : Epoch  4, Batch   2096, Loss  0.856795, Average Loss  0.866089, Time  0.170038
2021-09-11 08:26:15.925950 : Epoch  3, Batch   1120, Loss  0.869801, Average Loss  0.869595, Time  0.237529
2021-09-11 08:26:16.490797 : Epoch  4, Batch   2097, Loss  0.893274, Average Loss  0.866249, Time  0.185640
2021-09-11 08:26:18.096954 : Epoch  4, Batch   2098, Loss  0.848995, Average Loss  0.866302, Time  0.171372
2021-09-11 08:26:18.516948 : Epoch  3, Batch   1121, Loss  0.858481, Average Loss  0.869478, Time  0.238530
2021-09-11 08:26:19.703051 : Epoch  4, Batch   2099, Loss  0.876450, Average Loss  0.866383, Time  0.170320
2021-09-11 08:26:21.096397 : Epoch  3, Batch   1122, Loss  0.865859, Average Loss  0.869450, Time  0.238564
2021-09-11 08:26:21.310798 : Epoch  4, Batch   2100, Loss  0.892665, Average Loss  0.866471, Time  0.170207
2021-09-11 08:26:22.956768 : Epoch  4, Batch   2101, Loss  0.882757, Average Loss  0.866694, Time  0.178629
2021-09-11 08:26:23.681836 : Epoch  3, Batch   1123, Loss  0.888014, Average Loss  0.869569, Time  0.237136
2021-09-11 08:26:24.575800 : Epoch  4, Batch   2102, Loss  0.885348, Average Loss  0.866738, Time  0.176277
2021-09-11 08:26:26.198803 : Epoch  4, Batch   2103, Loss  0.854989, Average Loss  0.866654, Time  0.178479
2021-09-11 08:26:26.271376 : Epoch  3, Batch   1124, Loss  0.876540, Average Loss  0.869581, Time  0.238187
2021-09-11 08:26:27.794821 : Epoch  4, Batch   2104, Loss  0.883908, Average Loss  0.866749, Time  0.181152
2021-09-11 08:26:28.858714 : Epoch  3, Batch   1125, Loss  0.879798, Average Loss  0.869619, Time  0.237662
2021-09-11 08:26:29.413093 : Epoch  4, Batch   2105, Loss  0.873826, Average Loss  0.866730, Time  0.170110
2021-09-11 08:26:31.039871 : Epoch  4, Batch   2106, Loss  0.886693, Average Loss  0.866848, Time  0.175246
2021-09-11 08:26:31.449410 : Epoch  3, Batch   1126, Loss  0.850704, Average Loss  0.869578, Time  0.237771
2021-09-11 08:26:32.643026 : Epoch  4, Batch   2107, Loss  0.885995, Average Loss  0.866854, Time  0.169805
2021-09-11 08:26:34.030813 : Epoch  3, Batch   1127, Loss  0.884303, Average Loss  0.869745, Time  0.238054
2021-09-11 08:26:34.255759 : Epoch  4, Batch   2108, Loss  0.888933, Average Loss  0.866900, Time  0.169827
2021-09-11 08:26:35.863846 : Epoch  4, Batch   2109, Loss  0.858280, Average Loss  0.866876, Time  0.180153
2021-09-11 08:26:36.617678 : Epoch  3, Batch   1128, Loss  0.876464, Average Loss  0.869828, Time  0.238107
2021-09-11 08:26:37.485018 : Epoch  4, Batch   2110, Loss  0.902345, Average Loss  0.867263, Time  0.173432
2021-09-11 08:26:39.108814 : Epoch  4, Batch   2111, Loss  0.858731, Average Loss  0.867182, Time  0.175628
2021-09-11 08:26:39.218447 : Epoch  3, Batch   1129, Loss  0.861092, Average Loss  0.869770, Time  0.238142
2021-09-11 08:26:40.703849 : Epoch  4, Batch   2112, Loss  0.891860, Average Loss  0.867224, Time  0.170063
2021-09-11 08:26:41.807452 : Epoch  3, Batch   1130, Loss  0.867758, Average Loss  0.869791, Time  0.237693
2021-09-11 08:26:42.315818 : Epoch  4, Batch   2113, Loss  0.859631, Average Loss  0.867249, Time  0.170001
2021-09-11 08:26:43.930752 : Epoch  4, Batch   2114, Loss  0.890626, Average Loss  0.867330, Time  0.178737
2021-09-11 08:26:44.444658 : Epoch  3, Batch   1131, Loss  0.872788, Average Loss  0.869765, Time  0.238609
2021-09-11 08:26:45.535739 : Epoch  4, Batch   2115, Loss  0.875406, Average Loss  0.867290, Time  0.172204
2021-09-11 08:26:47.032084 : Epoch  3, Batch   1132, Loss  0.879756, Average Loss  0.869724, Time  0.237536
2021-09-11 08:26:47.164802 : Epoch  4, Batch   2116, Loss  0.856291, Average Loss  0.867262, Time  0.175769
2021-09-11 08:26:48.788758 : Epoch  4, Batch   2117, Loss  0.855210, Average Loss  0.867189, Time  0.170159
2021-09-11 08:26:49.618972 : Epoch  3, Batch   1133, Loss  0.872830, Average Loss  0.869850, Time  0.238076
2021-09-11 08:26:50.423746 : Epoch  4, Batch   2118, Loss  0.884061, Average Loss  0.867241, Time  0.173842
2021-09-11 08:26:52.049826 : Epoch  4, Batch   2119, Loss  0.865515, Average Loss  0.867275, Time  0.170613
2021-09-11 08:26:52.235863 : Epoch  3, Batch   1134, Loss  0.863351, Average Loss  0.869948, Time  0.238872
2021-09-11 08:26:53.696032 : Epoch  4, Batch   2120, Loss  0.866972, Average Loss  0.867236, Time  0.178211
2021-09-11 08:26:54.819876 : Epoch  3, Batch   1135, Loss  0.878260, Average Loss  0.870023, Time  0.237507
2021-09-11 08:26:55.321741 : Epoch  4, Batch   2121, Loss  0.850445, Average Loss  0.867119, Time  0.173163
2021-09-11 08:26:56.922767 : Epoch  4, Batch   2122, Loss  0.836333, Average Loss  0.867015, Time  0.171674
2021-09-11 08:26:57.407018 : Epoch  3, Batch   1136, Loss  0.875972, Average Loss  0.869971, Time  0.237454
2021-09-11 08:26:58.515029 : Epoch  4, Batch   2123, Loss  0.872016, Average Loss  0.867069, Time  0.179691
2021-09-11 08:26:59.985916 : Epoch  3, Batch   1137, Loss  0.867657, Average Loss  0.869918, Time  0.237175
2021-09-11 08:27:00.136760 : Epoch  4, Batch   2124, Loss  0.849133, Average Loss  0.866948, Time  0.172609
2021-09-11 08:27:01.763767 : Epoch  4, Batch   2125, Loss  0.847402, Average Loss  0.866810, Time  0.173952
2021-09-11 08:27:02.571041 : Epoch  3, Batch   1138, Loss  0.887385, Average Loss  0.870079, Time  0.237279
2021-09-11 08:27:03.348771 : Epoch  4, Batch   2126, Loss  0.891394, Average Loss  0.866975, Time  0.173404
2021-09-11 08:27:04.978746 : Epoch  4, Batch   2127, Loss  0.860638, Average Loss  0.866954, Time  0.180942
2021-09-11 08:27:05.160357 : Epoch  3, Batch   1139, Loss  0.861767, Average Loss  0.870018, Time  0.237588
2021-09-11 08:27:06.618855 : Epoch  4, Batch   2128, Loss  0.844511, Average Loss  0.866832, Time  0.180632
2021-09-11 08:27:07.739833 : Epoch  3, Batch   1140, Loss  0.875387, Average Loss  0.870000, Time  0.237286
2021-09-11 08:27:08.236749 : Epoch  4, Batch   2129, Loss  0.851768, Average Loss  0.866774, Time  0.169875
2021-09-11 08:27:09.844744 : Epoch  4, Batch   2130, Loss  0.882539, Average Loss  0.866718, Time  0.172006
2021-09-11 08:27:10.329129 : Epoch  3, Batch   1141, Loss  0.890160, Average Loss  0.870064, Time  0.237204
2021-09-11 08:27:11.468767 : Epoch  4, Batch   2131, Loss  0.867760, Average Loss  0.866688, Time  0.170417
2021-09-11 08:27:12.911836 : Epoch  3, Batch   1142, Loss  0.867487, Average Loss  0.870035, Time  0.240778
2021-09-11 08:27:13.100743 : Epoch  4, Batch   2132, Loss  0.854965, Average Loss  0.866709, Time  0.184669
2021-09-11 08:27:14.740864 : Epoch  4, Batch   2133, Loss  0.861493, Average Loss  0.866886, Time  0.175042
2021-09-11 08:27:15.485632 : Epoch  3, Batch   1143, Loss  0.850735, Average Loss  0.869837, Time  0.236832
2021-09-11 08:27:16.378043 : Epoch  4, Batch   2134, Loss  0.874022, Average Loss  0.866795, Time  0.189486
2021-09-11 08:27:18.008028 : Epoch  4, Batch   2135, Loss  0.903796, Average Loss  0.866861, Time  0.169931
2021-09-11 08:27:18.075869 : Epoch  3, Batch   1144, Loss  0.862399, Average Loss  0.869916, Time  0.237470
2021-09-11 08:27:19.629023 : Epoch  4, Batch   2136, Loss  0.839195, Average Loss  0.866842, Time  0.169801
2021-09-11 08:27:20.668168 : Epoch  3, Batch   1145, Loss  0.866583, Average Loss  0.869814, Time  0.237189
2021-09-11 08:27:21.251925 : Epoch  4, Batch   2137, Loss  0.880979, Average Loss  0.866961, Time  0.175525
2021-09-11 08:27:22.867801 : Epoch  4, Batch   2138, Loss  0.848310, Average Loss  0.866846, Time  0.170295
2021-09-11 08:27:23.254552 : Epoch  3, Batch   1146, Loss  0.860540, Average Loss  0.869745, Time  0.237023
2021-09-11 08:27:24.464049 : Epoch  4, Batch   2139, Loss  0.880687, Average Loss  0.866893, Time  0.171234
2021-09-11 08:27:25.833534 : Epoch  3, Batch   1147, Loss  0.869245, Average Loss  0.869750, Time  0.237792
2021-09-11 08:27:26.076810 : Epoch  4, Batch   2140, Loss  0.876882, Average Loss  0.866902, Time  0.175925
2021-09-11 08:27:27.680767 : Epoch  4, Batch   2141, Loss  0.904139, Average Loss  0.867133, Time  0.170054
2021-09-11 08:27:28.403941 : Epoch  3, Batch   1148, Loss  0.874977, Average Loss  0.869797, Time  0.237502
2021-09-11 08:27:29.296848 : Epoch  4, Batch   2142, Loss  0.862998, Average Loss  0.866991, Time  0.180406
2021-09-11 08:27:30.932751 : Epoch  4, Batch   2143, Loss  0.887349, Average Loss  0.867262, Time  0.170183
2021-09-11 08:27:30.980363 : Epoch  3, Batch   1149, Loss  0.876838, Average Loss  0.869824, Time  0.237044
2021-09-11 08:27:32.562777 : Epoch  4, Batch   2144, Loss  0.877853, Average Loss  0.867106, Time  0.172200
2021-09-11 08:27:33.566399 : Epoch  3, Batch   1150, Loss  0.861677, Average Loss  0.869755, Time  0.237654
2021-09-11 08:27:34.190747 : Epoch  4, Batch   2145, Loss  0.843294, Average Loss  0.866961, Time  0.170087
2021-09-11 08:27:35.818786 : Epoch  4, Batch   2146, Loss  0.846240, Average Loss  0.867007, Time  0.172970
2021-09-11 08:27:36.153419 : Epoch  3, Batch   1151, Loss  0.855313, Average Loss  0.869642, Time  0.238484
2021-09-11 08:27:37.428738 : Epoch  4, Batch   2147, Loss  0.894251, Average Loss  0.867385, Time  0.170170
2021-09-11 08:27:38.763966 : Epoch  3, Batch   1152, Loss  0.891454, Average Loss  0.869721, Time  0.238134
2021-09-11 08:27:39.079917 : Epoch  4, Batch   2148, Loss  0.875502, Average Loss  0.867331, Time  0.178921
2021-09-11 08:27:40.710835 : Epoch  4, Batch   2149, Loss  0.901883, Average Loss  0.867388, Time  0.174208
2021-09-11 08:27:41.338393 : Epoch  3, Batch   1153, Loss  0.862253, Average Loss  0.869582, Time  0.237457
2021-09-11 08:27:42.349750 : Epoch  4, Batch   2150, Loss  0.897173, Average Loss  0.867620, Time  0.177991
2021-09-11 08:27:43.918628 : Epoch  3, Batch   1154, Loss  0.865918, Average Loss  0.869495, Time  0.237418
2021-09-11 08:27:43.962758 : Epoch  4, Batch   2151, Loss  0.862475, Average Loss  0.867643, Time  0.173369
2021-09-11 08:27:45.592817 : Epoch  4, Batch   2152, Loss  0.873835, Average Loss  0.867652, Time  0.171848
2021-09-11 08:27:46.506394 : Epoch  3, Batch   1155, Loss  0.873564, Average Loss  0.869427, Time  0.237306
2021-09-11 08:27:47.196742 : Epoch  4, Batch   2153, Loss  0.877800, Average Loss  0.867784, Time  0.173562
2021-09-11 08:27:48.811021 : Epoch  4, Batch   2154, Loss  0.869731, Average Loss  0.867908, Time  0.169687
2021-09-11 08:27:49.083069 : Epoch  3, Batch   1156, Loss  0.857161, Average Loss  0.869301, Time  0.237364
2021-09-11 08:27:50.451749 : Epoch  4, Batch   2155, Loss  0.888129, Average Loss  0.868115, Time  0.170224
2021-09-11 08:27:51.680405 : Epoch  3, Batch   1157, Loss  0.871561, Average Loss  0.869219, Time  0.237608
2021-09-11 08:27:52.068780 : Epoch  4, Batch   2156, Loss  0.861865, Average Loss  0.868119, Time  0.171931
2021-09-11 08:27:53.705998 : Epoch  4, Batch   2157, Loss  0.877429, Average Loss  0.868114, Time  0.169864
2021-09-11 08:27:54.264786 : Epoch  3, Batch   1158, Loss  0.841683, Average Loss  0.869183, Time  0.237538
2021-09-11 08:27:55.329842 : Epoch  4, Batch   2158, Loss  0.851210, Average Loss  0.868051, Time  0.169719
2021-09-11 08:27:56.853809 : Epoch  3, Batch   1159, Loss  0.888179, Average Loss  0.869272, Time  0.237722
2021-09-11 08:27:56.935747 : Epoch  4, Batch   2159, Loss  0.897620, Average Loss  0.868288, Time  0.169855
2021-09-11 08:27:58.543000 : Epoch  4, Batch   2160, Loss  0.839206, Average Loss  0.867978, Time  0.169691
2021-09-11 08:27:59.450651 : Epoch  3, Batch   1160, Loss  0.887429, Average Loss  0.869262, Time  0.238981
2021-09-11 08:28:00.173824 : Epoch  4, Batch   2161, Loss  0.892748, Average Loss  0.868135, Time  0.169885
2021-09-11 08:28:01.799774 : Epoch  4, Batch   2162, Loss  0.869876, Average Loss  0.868143, Time  0.169759
2021-09-11 08:28:02.033927 : Epoch  3, Batch   1161, Loss  0.863146, Average Loss  0.869202, Time  0.237312
2021-09-11 08:28:03.395000 : Epoch  4, Batch   2163, Loss  0.913590, Average Loss  0.868409, Time  0.169709
2021-09-11 08:28:04.616407 : Epoch  3, Batch   1162, Loss  0.883602, Average Loss  0.869345, Time  0.237046
2021-09-11 08:28:04.978757 : Epoch  4, Batch   2164, Loss  0.880975, Average Loss  0.868688, Time  0.169956
2021-09-11 08:28:06.548975 : Epoch  4, Batch   2165, Loss  0.852301, Average Loss  0.868431, Time  0.169890
2021-09-11 08:28:07.198741 : Epoch  3, Batch   1163, Loss  0.892488, Average Loss  0.869582, Time  0.237473
2021-09-11 08:28:08.124755 : Epoch  4, Batch   2166, Loss  0.878929, Average Loss  0.868598, Time  0.169569
2021-09-11 08:28:09.703755 : Epoch  4, Batch   2167, Loss  0.846227, Average Loss  0.868518, Time  0.169740
2021-09-11 08:28:09.780302 : Epoch  3, Batch   1164, Loss  0.854114, Average Loss  0.869499, Time  0.237608
2021-09-11 08:28:12.367928 : Epoch  3, Batch   1165, Loss  0.873054, Average Loss  0.869607, Time  0.240248
2021-09-11 08:28:14.947378 : Epoch  3, Batch   1166, Loss  0.869037, Average Loss  0.869647, Time  0.237072
2021-09-11 08:28:17.521072 : Epoch  3, Batch   1167, Loss  0.875020, Average Loss  0.869753, Time  0.237500
2021-09-11 08:28:20.115354 : Epoch  3, Batch   1168, Loss  0.873101, Average Loss  0.869860, Time  0.237998
2021-09-11 08:28:22.699059 : Epoch  3, Batch   1169, Loss  0.894676, Average Loss  0.870021, Time  0.237459
2021-09-11 08:28:25.287390 : Epoch  3, Batch   1170, Loss  0.875183, Average Loss  0.869992, Time  0.238299
2021-09-11 08:28:27.864914 : Epoch  3, Batch   1171, Loss  0.889276, Average Loss  0.870072, Time  0.237195
2021-09-11 08:28:30.459998 : Epoch  3, Batch   1172, Loss  0.870631, Average Loss  0.870020, Time  0.237529
2021-09-11 08:28:33.034231 : Epoch  3, Batch   1173, Loss  0.869646, Average Loss  0.870099, Time  0.237384
2021-09-11 08:28:35.622860 : Epoch  3, Batch   1174, Loss  0.868819, Average Loss  0.870103, Time  0.239113
2021-09-11 08:28:38.205800 : Epoch  3, Batch   1175, Loss  0.855551, Average Loss  0.870067, Time  0.238923
2021-09-11 08:28:40.796825 : Epoch  3, Batch   1176, Loss  0.866012, Average Loss  0.870106, Time  0.240462
2021-09-11 08:28:43.388270 : Epoch  3, Batch   1177, Loss  0.869376, Average Loss  0.870173, Time  0.238442
2021-09-11 08:28:45.975441 : Epoch  3, Batch   1178, Loss  0.873345, Average Loss  0.870204, Time  0.238850
2021-09-11 08:28:48.570838 : Epoch  3, Batch   1179, Loss  0.877918, Average Loss  0.870328, Time  0.238419
2021-09-11 08:28:51.154385 : Epoch  3, Batch   1180, Loss  0.873691, Average Loss  0.870382, Time  0.237237
2021-09-11 08:28:53.743360 : Epoch  3, Batch   1181, Loss  0.881313, Average Loss  0.870544, Time  0.237665
2021-09-11 08:28:56.327033 : Epoch  3, Batch   1182, Loss  0.868874, Average Loss  0.870578, Time  0.237530
2021-09-11 08:28:58.907111 : Epoch  3, Batch   1183, Loss  0.879706, Average Loss  0.870655, Time  0.237771
2021-09-11 08:29:01.488391 : Epoch  3, Batch   1184, Loss  0.880811, Average Loss  0.870634, Time  0.237155
2021-09-11 08:29:04.066913 : Epoch  3, Batch   1185, Loss  0.871194, Average Loss  0.870605, Time  0.237487
2021-09-11 08:29:06.650366 : Epoch  3, Batch   1186, Loss  0.858988, Average Loss  0.870633, Time  0.236904
2021-09-11 08:29:09.238018 : Epoch  3, Batch   1187, Loss  0.868842, Average Loss  0.870706, Time  0.238316
2021-09-11 08:29:11.819212 : Epoch  3, Batch   1188, Loss  0.865425, Average Loss  0.870714, Time  0.238361
2021-09-11 08:32:49.972711 : CheckPoint: Validation Loss  0.00058710, Best Loss  0.00057296
2021-09-11 08:32:51.574004 : Epoch  4, Batch   2168, Loss  0.866675, Average Loss  0.868445, Time  0.189329
2021-09-11 08:32:53.165805 : Epoch  4, Batch   2169, Loss  0.863268, Average Loss  0.868421, Time  0.171699
2021-09-11 08:32:54.760742 : Epoch  4, Batch   2170, Loss  0.891321, Average Loss  0.868507, Time  0.178014
2021-09-11 08:32:56.372006 : Epoch  4, Batch   2171, Loss  0.859821, Average Loss  0.868407, Time  0.172442
2021-09-11 08:32:57.991781 : Epoch  4, Batch   2172, Loss  0.863024, Average Loss  0.868103, Time  0.177949
2021-09-11 08:32:59.609026 : Epoch  4, Batch   2173, Loss  0.854912, Average Loss  0.867985, Time  0.170756
2021-09-11 08:33:01.242024 : Epoch  4, Batch   2174, Loss  0.884322, Average Loss  0.868153, Time  0.169725
2021-09-11 08:33:02.835734 : Epoch  4, Batch   2175, Loss  0.846082, Average Loss  0.868096, Time  0.175683
2021-09-11 08:33:04.446064 : Epoch  4, Batch   2176, Loss  0.862229, Average Loss  0.868100, Time  0.174610
2021-09-11 08:33:06.024044 : Epoch  4, Batch   2177, Loss  0.861957, Average Loss  0.867972, Time  0.174428
2021-09-11 08:33:07.654752 : Epoch  4, Batch   2178, Loss  0.853611, Average Loss  0.867915, Time  0.173931
2021-09-11 08:33:09.254728 : Epoch  4, Batch   2179, Loss  0.866628, Average Loss  0.867842, Time  0.170374
2021-09-11 08:33:10.891031 : Epoch  4, Batch   2180, Loss  0.853375, Average Loss  0.867766, Time  0.172493
2021-09-11 08:33:12.520801 : Epoch  4, Batch   2181, Loss  0.871553, Average Loss  0.867801, Time  0.172301
2021-09-11 08:33:14.099926 : Epoch  4, Batch   2182, Loss  0.844180, Average Loss  0.867689, Time  0.170604
2021-09-11 08:33:14.610703 : CheckPoint: Validation Loss  0.00030601, Best Loss  0.00029019
2021-09-11 08:33:15.714887 : Epoch  4, Batch   2183, Loss  0.893798, Average Loss  0.867754, Time  0.173305
2021-09-11 08:33:17.193723 : Epoch  3, Batch   1189, Loss  0.868150, Average Loss  0.870749, Time  0.238335
2021-09-11 08:33:17.327032 : Epoch  4, Batch   2184, Loss  0.859179, Average Loss  0.867646, Time  0.169708
2021-09-11 08:33:18.938031 : Epoch  4, Batch   2185, Loss  0.876109, Average Loss  0.867715, Time  0.169910
2021-09-11 08:33:19.774353 : Epoch  3, Batch   1190, Loss  0.859895, Average Loss  0.870557, Time  0.237059
2021-09-11 08:33:20.571762 : Epoch  4, Batch   2186, Loss  0.876989, Average Loss  0.867774, Time  0.199770
2021-09-11 08:33:22.157496 : Epoch  4, Batch   2187, Loss  0.861053, Average Loss  0.867857, Time  0.176911
2021-09-11 08:33:22.349002 : Epoch  3, Batch   1191, Loss  0.876454, Average Loss  0.870584, Time  0.236806
2021-09-11 08:33:23.748759 : Epoch  4, Batch   2188, Loss  0.847537, Average Loss  0.867794, Time  0.171672
2021-09-11 08:33:24.925354 : Epoch  3, Batch   1192, Loss  0.871191, Average Loss  0.870736, Time  0.239846
2021-09-11 08:33:25.354774 : Epoch  4, Batch   2189, Loss  0.859923, Average Loss  0.867815, Time  0.178794
2021-09-11 08:33:26.995737 : Epoch  4, Batch   2190, Loss  0.849495, Average Loss  0.867809, Time  0.170121
2021-09-11 08:33:27.506632 : Epoch  3, Batch   1193, Loss  0.857090, Average Loss  0.870624, Time  0.237499
2021-09-11 08:33:28.586033 : Epoch  4, Batch   2191, Loss  0.857605, Average Loss  0.867701, Time  0.170148
2021-09-11 08:33:30.089361 : Epoch  3, Batch   1194, Loss  0.863718, Average Loss  0.870606, Time  0.238021
2021-09-11 08:33:30.173743 : Epoch  4, Batch   2192, Loss  0.882436, Average Loss  0.867715, Time  0.170039
2021-09-11 08:33:31.800797 : Epoch  4, Batch   2193, Loss  0.862128, Average Loss  0.867772, Time  0.178166
2021-09-11 08:33:32.662825 : Epoch  3, Batch   1195, Loss  0.884939, Average Loss  0.870700, Time  0.237117
2021-09-11 08:33:33.398944 : Epoch  4, Batch   2194, Loss  0.895557, Average Loss  0.867866, Time  0.169992
2021-09-11 08:33:35.010773 : Epoch  4, Batch   2195, Loss  0.868329, Average Loss  0.867876, Time  0.172136
2021-09-11 08:33:35.238606 : Epoch  3, Batch   1196, Loss  0.879780, Average Loss  0.870780, Time  0.239080
2021-09-11 08:33:36.623928 : Epoch  4, Batch   2196, Loss  0.875447, Average Loss  0.867922, Time  0.170301
2021-09-11 08:33:37.821852 : Epoch  3, Batch   1197, Loss  0.861940, Average Loss  0.870645, Time  0.237880
2021-09-11 08:33:38.234031 : Epoch  4, Batch   2197, Loss  0.853797, Average Loss  0.867905, Time  0.176637
2021-09-11 08:33:39.860917 : Epoch  4, Batch   2198, Loss  0.872512, Average Loss  0.867825, Time  0.175321
2021-09-11 08:33:40.401830 : Epoch  3, Batch   1198, Loss  0.867326, Average Loss  0.870639, Time  0.237517
2021-09-11 08:33:41.471871 : Epoch  4, Batch   2199, Loss  0.854076, Average Loss  0.867797, Time  0.171791
2021-09-11 08:33:42.981904 : Epoch  3, Batch   1199, Loss  0.885416, Average Loss  0.870759, Time  0.238652
2021-09-11 08:33:43.060824 : Epoch  4, Batch   2200, Loss  0.870925, Average Loss  0.867739, Time  0.173576
2021-09-11 08:33:44.689035 : Epoch  4, Batch   2201, Loss  0.864235, Average Loss  0.867789, Time  0.172076
2021-09-11 08:33:45.569432 : Epoch  3, Batch   1200, Loss  0.864235, Average Loss  0.870700, Time  0.238339
2021-09-11 08:33:46.285757 : Epoch  4, Batch   2202, Loss  0.851993, Average Loss  0.867642, Time  0.170436
2021-09-11 08:33:47.887829 : Epoch  4, Batch   2203, Loss  0.875929, Average Loss  0.867749, Time  0.176814
2021-09-11 08:33:48.151809 : Epoch  3, Batch   1201, Loss  0.860369, Average Loss  0.870668, Time  0.240285
2021-09-11 08:33:49.532747 : Epoch  4, Batch   2204, Loss  0.881360, Average Loss  0.867813, Time  0.175546
2021-09-11 08:33:50.732155 : Epoch  3, Batch   1202, Loss  0.863858, Average Loss  0.870626, Time  0.239970
2021-09-11 08:33:51.174198 : Epoch  4, Batch   2205, Loss  0.879650, Average Loss  0.867920, Time  0.175099
2021-09-11 08:33:52.785854 : Epoch  4, Batch   2206, Loss  0.877152, Average Loss  0.867998, Time  0.177510
2021-09-11 08:33:53.299885 : Epoch  3, Batch   1203, Loss  0.871399, Average Loss  0.870696, Time  0.237400
2021-09-11 08:33:54.381740 : Epoch  4, Batch   2207, Loss  0.886456, Average Loss  0.868177, Time  0.169907
2021-09-11 08:33:55.886944 : Epoch  3, Batch   1204, Loss  0.887120, Average Loss  0.870627, Time  0.240280
2021-09-11 08:33:55.976826 : Epoch  4, Batch   2208, Loss  0.890913, Average Loss  0.868291, Time  0.170379
2021-09-11 08:33:57.555871 : Epoch  4, Batch   2209, Loss  0.880614, Average Loss  0.868253, Time  0.174519
2021-09-11 08:33:58.474974 : Epoch  3, Batch   1205, Loss  0.878410, Average Loss  0.870698, Time  0.237552
2021-09-11 08:33:59.164025 : Epoch  4, Batch   2210, Loss  0.855985, Average Loss  0.868187, Time  0.170224
2021-09-11 08:34:00.774764 : Epoch  4, Batch   2211, Loss  0.879373, Average Loss  0.868342, Time  0.178323
2021-09-11 08:34:01.054827 : Epoch  3, Batch   1206, Loss  0.901546, Average Loss  0.870928, Time  0.237984
2021-09-11 08:34:02.369029 : Epoch  4, Batch   2212, Loss  0.863033, Average Loss  0.868406, Time  0.170674
2021-09-11 08:34:03.614403 : Epoch  3, Batch   1207, Loss  0.895373, Average Loss  0.871038, Time  0.237063
2021-09-11 08:34:03.974037 : Epoch  4, Batch   2213, Loss  0.819934, Average Loss  0.868119, Time  0.169754
2021-09-11 08:34:05.560834 : Epoch  4, Batch   2214, Loss  0.852248, Average Loss  0.868032, Time  0.169731
2021-09-11 08:34:06.196914 : Epoch  3, Batch   1208, Loss  0.851762, Average Loss  0.870929, Time  0.237386
2021-09-11 08:34:07.146041 : Epoch  4, Batch   2215, Loss  0.868462, Average Loss  0.867934, Time  0.170088
2021-09-11 08:34:08.745863 : Epoch  4, Batch   2216, Loss  0.874248, Average Loss  0.867888, Time  0.172438
2021-09-11 08:34:08.769020 : Epoch  3, Batch   1209, Loss  0.866615, Average Loss  0.870867, Time  0.237001
2021-09-11 08:34:10.336760 : Epoch  4, Batch   2217, Loss  0.877021, Average Loss  0.867865, Time  0.179400
2021-09-11 08:34:11.337802 : Epoch  3, Batch   1210, Loss  0.872389, Average Loss  0.870942, Time  0.237858
2021-09-11 08:34:11.952838 : Epoch  4, Batch   2218, Loss  0.864907, Average Loss  0.867771, Time  0.177378
2021-09-11 08:34:13.555799 : Epoch  4, Batch   2219, Loss  0.876311, Average Loss  0.867936, Time  0.174007
2021-09-11 08:34:13.904215 : Epoch  3, Batch   1211, Loss  0.866212, Average Loss  0.871012, Time  0.237604
2021-09-11 08:34:15.190767 : Epoch  4, Batch   2220, Loss  0.846986, Average Loss  0.867783, Time  0.175253
2021-09-11 08:34:16.487839 : Epoch  3, Batch   1212, Loss  0.856293, Average Loss  0.870934, Time  0.237665
2021-09-11 08:34:16.826753 : Epoch  4, Batch   2221, Loss  0.877422, Average Loss  0.867961, Time  0.177534
2021-09-11 08:34:18.400735 : Epoch  4, Batch   2222, Loss  0.867813, Average Loss  0.868100, Time  0.170448
2021-09-11 08:34:19.069141 : Epoch  3, Batch   1213, Loss  0.903678, Average Loss  0.870970, Time  0.237100
2021-09-11 08:34:20.009773 : Epoch  4, Batch   2223, Loss  0.857933, Average Loss  0.868052, Time  0.170265
2021-09-11 08:34:21.604040 : Epoch  4, Batch   2224, Loss  0.850056, Average Loss  0.868076, Time  0.169824
2021-09-11 08:34:21.653388 : Epoch  3, Batch   1214, Loss  0.884826, Average Loss  0.870984, Time  0.237115
2021-09-11 08:34:23.198737 : Epoch  4, Batch   2225, Loss  0.884706, Average Loss  0.868084, Time  0.173166
2021-09-11 08:34:24.228380 : Epoch  3, Batch   1215, Loss  0.877035, Average Loss  0.871046, Time  0.240505
2021-09-11 08:34:24.788026 : Epoch  4, Batch   2226, Loss  0.863236, Average Loss  0.868092, Time  0.169803
2021-09-11 08:34:26.396023 : Epoch  4, Batch   2227, Loss  0.874816, Average Loss  0.868131, Time  0.172010
2021-09-11 08:34:26.809928 : Epoch  3, Batch   1216, Loss  0.853071, Average Loss  0.870986, Time  0.238131
2021-09-11 08:34:28.015032 : Epoch  4, Batch   2228, Loss  0.836267, Average Loss  0.867982, Time  0.173719
2021-09-11 08:34:29.387386 : Epoch  3, Batch   1217, Loss  0.864119, Average Loss  0.870963, Time  0.238236
2021-09-11 08:34:29.646738 : Epoch  4, Batch   2229, Loss  0.837107, Average Loss  0.867766, Time  0.179776
2021-09-11 08:34:31.239932 : Epoch  4, Batch   2230, Loss  0.895984, Average Loss  0.867825, Time  0.176888
2021-09-11 08:34:31.980900 : Epoch  3, Batch   1218, Loss  0.878378, Average Loss  0.870980, Time  0.237475
2021-09-11 08:34:32.835035 : Epoch  4, Batch   2231, Loss  0.866669, Average Loss  0.867850, Time  0.169996
2021-09-11 08:34:34.442742 : Epoch  4, Batch   2232, Loss  0.889238, Average Loss  0.868067, Time  0.183372
2021-09-11 08:34:34.564443 : Epoch  3, Batch   1219, Loss  0.843025, Average Loss  0.870917, Time  0.238376
2021-09-11 08:34:36.030741 : Epoch  4, Batch   2233, Loss  0.870981, Average Loss  0.868196, Time  0.170098
2021-09-11 08:34:37.137921 : Epoch  3, Batch   1220, Loss  0.882338, Average Loss  0.871028, Time  0.239135
2021-09-11 08:34:37.643745 : Epoch  4, Batch   2234, Loss  0.874391, Average Loss  0.868238, Time  0.180069
2021-09-11 08:34:39.223749 : Epoch  4, Batch   2235, Loss  0.868524, Average Loss  0.868204, Time  0.173231
2021-09-11 08:34:39.740011 : Epoch  3, Batch   1221, Loss  0.867509, Average Loss  0.870909, Time  0.238785
2021-09-11 08:34:40.843750 : Epoch  4, Batch   2236, Loss  0.888938, Average Loss  0.868493, Time  0.171905
2021-09-11 08:34:42.340970 : Epoch  3, Batch   1222, Loss  0.852987, Average Loss  0.870964, Time  0.241937
2021-09-11 08:34:42.476049 : Epoch  4, Batch   2237, Loss  0.854616, Average Loss  0.868424, Time  0.171081
2021-09-11 08:34:44.094907 : Epoch  4, Batch   2238, Loss  0.827220, Average Loss  0.868218, Time  0.179028
2021-09-11 08:34:44.929942 : Epoch  3, Batch   1223, Loss  0.874876, Average Loss  0.871003, Time  0.241579
2021-09-11 08:34:45.714802 : Epoch  4, Batch   2239, Loss  0.848327, Average Loss  0.868061, Time  0.170373
2021-09-11 08:34:47.334064 : Epoch  4, Batch   2240, Loss  0.885594, Average Loss  0.868023, Time  0.173635
2021-09-11 08:34:47.523015 : Epoch  3, Batch   1224, Loss  0.879712, Average Loss  0.871027, Time  0.237515
2021-09-11 08:34:48.958052 : Epoch  4, Batch   2241, Loss  0.874917, Average Loss  0.868144, Time  0.170209
2021-09-11 08:34:50.085415 : Epoch  3, Batch   1225, Loss  0.864040, Average Loss  0.871126, Time  0.237239
2021-09-11 08:34:50.534805 : Epoch  4, Batch   2242, Loss  0.865706, Average Loss  0.868339, Time  0.170535
2021-09-11 08:34:52.123350 : Epoch  4, Batch   2243, Loss  0.864417, Average Loss  0.868199, Time  0.175912
2021-09-11 08:34:52.664373 : Epoch  3, Batch   1226, Loss  0.877232, Average Loss  0.871181, Time  0.237251
2021-09-11 08:34:53.742750 : Epoch  4, Batch   2244, Loss  0.907831, Average Loss  0.868255, Time  0.178556
2021-09-11 08:34:55.248447 : Epoch  3, Batch   1227, Loss  0.848476, Average Loss  0.871135, Time  0.238698
2021-09-11 08:34:55.348771 : Epoch  4, Batch   2245, Loss  0.879522, Average Loss  0.868388, Time  0.180192
2021-09-11 08:34:56.966791 : Epoch  4, Batch   2246, Loss  0.863954, Average Loss  0.868420, Time  0.185079
2021-09-11 08:34:57.826952 : Epoch  3, Batch   1228, Loss  0.863270, Average Loss  0.871115, Time  0.238058
2021-09-11 08:34:58.594800 : Epoch  4, Batch   2247, Loss  0.875657, Average Loss  0.868372, Time  0.178847
2021-09-11 08:35:00.243032 : Epoch  4, Batch   2248, Loss  0.856351, Average Loss  0.868414, Time  0.169951
2021-09-11 08:35:00.408968 : Epoch  3, Batch   1229, Loss  0.871676, Average Loss  0.871228, Time  0.237583
2021-09-11 08:35:01.906845 : Epoch  4, Batch   2249, Loss  0.870553, Average Loss  0.868542, Time  0.181465
2021-09-11 08:35:02.993367 : Epoch  3, Batch   1230, Loss  0.879063, Average Loss  0.871305, Time  0.238173
2021-09-11 08:35:03.511026 : Epoch  4, Batch   2250, Loss  0.855775, Average Loss  0.868529, Time  0.174134
2021-09-11 08:35:05.113031 : Epoch  4, Batch   2251, Loss  0.858303, Average Loss  0.868489, Time  0.174116
2021-09-11 08:35:05.576098 : Epoch  3, Batch   1231, Loss  0.856101, Average Loss  0.871189, Time  0.238052
2021-09-11 08:35:06.733937 : Epoch  4, Batch   2252, Loss  0.888876, Average Loss  0.868654, Time  0.180922
2021-09-11 08:35:08.146797 : Epoch  3, Batch   1232, Loss  0.844150, Average Loss  0.871105, Time  0.238086
2021-09-11 08:35:08.357760 : Epoch  4, Batch   2253, Loss  0.838334, Average Loss  0.868482, Time  0.176722
2021-09-11 08:35:09.957029 : Epoch  4, Batch   2254, Loss  0.920653, Average Loss  0.868871, Time  0.170165
2021-09-11 08:35:10.748887 : Epoch  3, Batch   1233, Loss  0.870344, Average Loss  0.871002, Time  0.238374
2021-09-11 08:35:11.583890 : Epoch  4, Batch   2255, Loss  0.866753, Average Loss  0.868953, Time  0.182388
2021-09-11 08:35:13.180753 : Epoch  4, Batch   2256, Loss  0.866493, Average Loss  0.868848, Time  0.170336
2021-09-11 08:35:13.360971 : Epoch  3, Batch   1234, Loss  0.855053, Average Loss  0.870941, Time  0.237417
2021-09-11 08:35:14.775806 : Epoch  4, Batch   2257, Loss  0.844145, Average Loss  0.868806, Time  0.170036
2021-09-11 08:35:15.931889 : Epoch  3, Batch   1235, Loss  0.856250, Average Loss  0.870817, Time  0.239209
2021-09-11 08:35:16.396037 : Epoch  4, Batch   2258, Loss  0.880117, Average Loss  0.868992, Time  0.173385
2021-09-11 08:35:17.994774 : Epoch  4, Batch   2259, Loss  0.886707, Average Loss  0.869113, Time  0.169966
2021-09-11 08:35:18.518939 : Epoch  3, Batch   1236, Loss  0.840894, Average Loss  0.870718, Time  0.238798
2021-09-11 08:35:19.625032 : Epoch  4, Batch   2260, Loss  0.860093, Average Loss  0.869180, Time  0.177858
2021-09-11 08:35:21.098411 : Epoch  3, Batch   1237, Loss  0.876700, Average Loss  0.870697, Time  0.237558
2021-09-11 08:35:21.243804 : Epoch  4, Batch   2261, Loss  0.895128, Average Loss  0.869189, Time  0.170739
2021-09-11 08:35:22.859800 : Epoch  4, Batch   2262, Loss  0.870727, Average Loss  0.869220, Time  0.173826
2021-09-11 08:35:23.676873 : Epoch  3, Batch   1238, Loss  0.886495, Average Loss  0.870798, Time  0.237765
2021-09-11 08:35:24.459801 : Epoch  4, Batch   2263, Loss  0.857029, Average Loss  0.869264, Time  0.170522
2021-09-11 08:35:26.057035 : Epoch  4, Batch   2264, Loss  0.871062, Average Loss  0.869376, Time  0.170099
2021-09-11 08:35:26.255396 : Epoch  3, Batch   1239, Loss  0.856144, Average Loss  0.870758, Time  0.237381
2021-09-11 08:35:27.674237 : Epoch  4, Batch   2265, Loss  0.895717, Average Loss  0.869598, Time  0.182786
2021-09-11 08:35:28.872846 : Epoch  3, Batch   1240, Loss  0.848533, Average Loss  0.870633, Time  0.239310
2021-09-11 08:35:29.284023 : Epoch  4, Batch   2266, Loss  0.885698, Average Loss  0.869556, Time  0.169736
2021-09-11 08:35:30.896019 : Epoch  4, Batch   2267, Loss  0.864083, Average Loss  0.869576, Time  0.172381
2021-09-11 08:35:31.449360 : Epoch  3, Batch   1241, Loss  0.885924, Average Loss  0.870663, Time  0.237739
2021-09-11 08:35:34.029844 : Epoch  3, Batch   1242, Loss  0.874855, Average Loss  0.870653, Time  0.237355
2021-09-11 08:35:36.607754 : Epoch  3, Batch   1243, Loss  0.879183, Average Loss  0.870744, Time  0.237395
2021-09-11 08:35:39.183568 : Epoch  3, Batch   1244, Loss  0.852434, Average Loss  0.870650, Time  0.237605
2021-09-11 08:35:41.758828 : Epoch  3, Batch   1245, Loss  0.878657, Average Loss  0.870692, Time  0.237495
2021-09-11 08:35:44.338143 : Epoch  3, Batch   1246, Loss  0.844980, Average Loss  0.870532, Time  0.237834
2021-09-11 08:35:46.929334 : Epoch  3, Batch   1247, Loss  0.876247, Average Loss  0.870599, Time  0.240518
2021-09-11 08:35:49.528925 : Epoch  3, Batch   1248, Loss  0.871027, Average Loss  0.870560, Time  0.239622
2021-09-11 08:35:52.129726 : Epoch  3, Batch   1249, Loss  0.895721, Average Loss  0.870770, Time  0.238991
2021-09-11 08:35:54.726900 : Epoch  3, Batch   1250, Loss  0.873398, Average Loss  0.870705, Time  0.239242
2021-09-11 08:35:57.302061 : Epoch  3, Batch   1251, Loss  0.888131, Average Loss  0.870888, Time  0.237473
2021-09-11 08:35:59.898245 : Epoch  3, Batch   1252, Loss  0.895729, Average Loss  0.871054, Time  0.246297
2021-09-11 08:36:02.487836 : Epoch  3, Batch   1253, Loss  0.910627, Average Loss  0.871228, Time  0.240192
2021-09-11 08:36:05.097024 : Epoch  3, Batch   1254, Loss  0.874602, Average Loss  0.871184, Time  0.238822
2021-09-11 08:36:07.673091 : Epoch  3, Batch   1255, Loss  0.882106, Average Loss  0.871283, Time  0.237402
2021-09-11 08:36:10.254891 : Epoch  3, Batch   1256, Loss  0.865594, Average Loss  0.871287, Time  0.237533
2021-09-11 08:36:12.833856 : Epoch  3, Batch   1257, Loss  0.889765, Average Loss  0.871291, Time  0.239104
2021-09-11 08:36:15.420095 : Epoch  3, Batch   1258, Loss  0.847744, Average Loss  0.871193, Time  0.237845
2021-09-11 08:36:18.000865 : Epoch  3, Batch   1259, Loss  0.855919, Average Loss  0.871055, Time  0.240138
2021-09-11 08:36:20.603953 : Epoch  3, Batch   1260, Loss  0.845898, Average Loss  0.870925, Time  0.238770
2021-09-11 08:36:23.181868 : Epoch  3, Batch   1261, Loss  0.877791, Average Loss  0.870901, Time  0.239246
2021-09-11 08:36:25.761022 : Epoch  3, Batch   1262, Loss  0.874895, Average Loss  0.870902, Time  0.237872
2021-09-11 08:36:28.336953 : Epoch  3, Batch   1263, Loss  0.874836, Average Loss  0.870979, Time  0.238518
2021-09-11 08:36:30.923950 : Epoch  3, Batch   1264, Loss  0.875994, Average Loss  0.870986, Time  0.238715
2021-09-11 08:36:33.509838 : Epoch  3, Batch   1265, Loss  0.871036, Average Loss  0.871017, Time  0.240212
2021-09-11 08:36:36.087958 : Epoch  3, Batch   1266, Loss  0.873677, Average Loss  0.871012, Time  0.237675
2021-09-11 08:36:38.661922 : Epoch  3, Batch   1267, Loss  0.857497, Average Loss  0.870910, Time  0.236926
2021-09-11 08:36:41.235904 : Epoch  3, Batch   1268, Loss  0.858987, Average Loss  0.870844, Time  0.237691
2021-09-11 08:36:43.838931 : Epoch  3, Batch   1269, Loss  0.870395, Average Loss  0.870920, Time  0.238184
2021-09-11 08:36:46.420757 : Epoch  3, Batch   1270, Loss  0.866355, Average Loss  0.870892, Time  0.238275
2021-09-11 08:36:48.996892 : Epoch  3, Batch   1271, Loss  0.872976, Average Loss  0.870900, Time  0.237302
2021-09-11 08:36:51.569959 : Epoch  3, Batch   1272, Loss  0.849830, Average Loss  0.870772, Time  0.238083
2021-09-11 08:36:54.153011 : Epoch  3, Batch   1273, Loss  0.865697, Average Loss  0.870739, Time  0.237987
2021-09-11 08:36:56.752984 : Epoch  3, Batch   1274, Loss  0.880327, Average Loss  0.870723, Time  0.237399
2021-09-11 08:36:59.349596 : Epoch  3, Batch   1275, Loss  0.875240, Average Loss  0.870723, Time  0.238364
2021-09-11 08:37:01.940908 : Epoch  3, Batch   1276, Loss  0.844715, Average Loss  0.870658, Time  0.239997
2021-09-11 08:37:04.545616 : Epoch  3, Batch   1277, Loss  0.868523, Average Loss  0.870640, Time  0.238069
2021-09-11 08:37:07.138756 : Epoch  3, Batch   1278, Loss  0.860660, Average Loss  0.870585, Time  0.237909
2021-09-11 08:37:09.709381 : Epoch  3, Batch   1279, Loss  0.875955, Average Loss  0.870653, Time  0.237126
2021-09-11 08:37:12.288256 : Epoch  3, Batch   1280, Loss  0.890438, Average Loss  0.870848, Time  0.239349
2021-09-11 08:37:14.867838 : Epoch  3, Batch   1281, Loss  0.868630, Average Loss  0.870929, Time  0.237380
2021-09-11 08:37:17.444896 : Epoch  3, Batch   1282, Loss  0.873857, Average Loss  0.870946, Time  0.237506
2021-09-11 08:37:20.027786 : Epoch  3, Batch   1283, Loss  0.863272, Average Loss  0.870794, Time  0.237131
2021-09-11 08:37:22.608410 : Epoch  3, Batch   1284, Loss  0.878333, Average Loss  0.870808, Time  0.237040
2021-09-11 08:37:25.182074 : Epoch  3, Batch   1285, Loss  0.867484, Average Loss  0.870669, Time  0.237912
2021-09-11 08:37:27.753212 : Epoch  3, Batch   1286, Loss  0.865736, Average Loss  0.870544, Time  0.237556
2021-09-11 08:37:30.335949 : Epoch  3, Batch   1287, Loss  0.851746, Average Loss  0.870562, Time  0.239917
2021-09-11 08:37:41.622584 : Epoch  3, Batch   1288, Loss  0.867997, Average Loss  0.870520, Time  0.254671
2021-09-11 08:40:11.148121 : CheckPoint: Validation Loss  0.00061656, Best Loss  0.00057296
2021-09-11 08:40:12.794768 : Epoch  4, Batch   2268, Loss  0.851645, Average Loss  0.869353, Time  0.190593
2021-09-11 08:40:14.409008 : Epoch  4, Batch   2269, Loss  0.859006, Average Loss  0.869251, Time  0.175321
2021-09-11 08:40:16.015000 : Epoch  4, Batch   2270, Loss  0.884408, Average Loss  0.869358, Time  0.169918
2021-09-11 08:40:17.634021 : Epoch  4, Batch   2271, Loss  0.867776, Average Loss  0.869334, Time  0.169936
2021-09-11 08:40:19.244788 : Epoch  4, Batch   2272, Loss  0.890112, Average Loss  0.869605, Time  0.173734
2021-09-11 08:40:20.844739 : Epoch  4, Batch   2273, Loss  0.864065, Average Loss  0.869458, Time  0.170075
2021-09-11 08:40:22.456790 : Epoch  4, Batch   2274, Loss  0.871458, Average Loss  0.869541, Time  0.175457
2021-09-11 08:40:24.090032 : Epoch  4, Batch   2275, Loss  0.894567, Average Loss  0.869653, Time  0.185180
2021-09-11 08:40:25.699807 : Epoch  4, Batch   2276, Loss  0.861099, Average Loss  0.869692, Time  0.170697
2021-09-11 08:40:27.311031 : Epoch  4, Batch   2277, Loss  0.877765, Average Loss  0.869854, Time  0.173915
2021-09-11 08:40:28.915783 : Epoch  4, Batch   2278, Loss  0.894145, Average Loss  0.870014, Time  0.170500
2021-09-11 08:40:30.506870 : Epoch  4, Batch   2279, Loss  0.860999, Average Loss  0.869831, Time  0.171172
2021-09-11 08:40:32.107028 : Epoch  4, Batch   2280, Loss  0.841198, Average Loss  0.869666, Time  0.171061
2021-09-11 08:40:33.712775 : Epoch  4, Batch   2281, Loss  0.838842, Average Loss  0.869400, Time  0.169948
2021-09-11 08:40:35.329018 : Epoch  4, Batch   2282, Loss  0.880178, Average Loss  0.869473, Time  0.172021
2021-09-11 08:40:36.923036 : Epoch  4, Batch   2283, Loss  0.891137, Average Loss  0.869531, Time  0.173079
2021-09-11 08:40:38.532832 : Epoch  4, Batch   2284, Loss  0.863732, Average Loss  0.869598, Time  0.171396
2021-09-11 08:40:40.144834 : Epoch  4, Batch   2285, Loss  0.884020, Average Loss  0.869696, Time  0.170062
2021-09-11 08:40:41.743022 : Epoch  4, Batch   2286, Loss  0.904009, Average Loss  0.869984, Time  0.172767
2021-09-11 08:40:43.339030 : Epoch  4, Batch   2287, Loss  0.884365, Average Loss  0.870046, Time  0.177757
2021-09-11 08:40:44.940024 : Epoch  4, Batch   2288, Loss  0.884626, Average Loss  0.870137, Time  0.174123
2021-09-11 08:40:46.535037 : Epoch  4, Batch   2289, Loss  0.862971, Average Loss  0.870095, Time  0.172584
2021-09-11 08:40:48.142026 : Epoch  4, Batch   2290, Loss  0.882948, Average Loss  0.870168, Time  0.173719
2021-09-11 08:40:49.754745 : Epoch  4, Batch   2291, Loss  0.850462, Average Loss  0.869932, Time  0.170273
2021-09-11 08:40:51.418940 : Epoch  4, Batch   2292, Loss  0.862077, Average Loss  0.869989, Time  0.177857
2021-09-11 08:40:53.016771 : Epoch  4, Batch   2293, Loss  0.909092, Average Loss  0.870298, Time  0.170752
2021-09-11 08:40:54.622070 : Epoch  4, Batch   2294, Loss  0.892191, Average Loss  0.870360, Time  0.170576
2021-09-11 08:40:56.221044 : Epoch  4, Batch   2295, Loss  0.836952, Average Loss  0.870157, Time  0.172189
2021-09-11 08:40:57.816744 : Epoch  4, Batch   2296, Loss  0.886947, Average Loss  0.870308, Time  0.176286
2021-09-11 08:40:59.412041 : Epoch  4, Batch   2297, Loss  0.857624, Average Loss  0.870130, Time  0.170701
2021-09-11 08:41:01.022021 : Epoch  4, Batch   2298, Loss  0.842419, Average Loss  0.870097, Time  0.169724
2021-09-11 08:41:02.622032 : Epoch  4, Batch   2299, Loss  0.860482, Average Loss  0.870017, Time  0.173254
2021-09-11 08:41:04.218036 : Epoch  4, Batch   2300, Loss  0.870121, Average Loss  0.869904, Time  0.173058
2021-09-11 08:41:05.814848 : Epoch  4, Batch   2301, Loss  0.838660, Average Loss  0.869684, Time  0.171746
2021-09-11 08:41:07.396881 : Epoch  4, Batch   2302, Loss  0.867655, Average Loss  0.869595, Time  0.169677
2021-09-11 08:41:09.006003 : Epoch  4, Batch   2303, Loss  0.862795, Average Loss  0.869634, Time  0.169624
2021-09-11 08:41:10.602994 : Epoch  4, Batch   2304, Loss  0.873343, Average Loss  0.869581, Time  0.169779
2021-09-11 08:41:12.225813 : Epoch  4, Batch   2305, Loss  0.848779, Average Loss  0.869456, Time  0.169520
2021-09-11 08:41:13.846826 : Epoch  4, Batch   2306, Loss  0.863438, Average Loss  0.869340, Time  0.169965
2021-09-11 08:41:15.437995 : Epoch  4, Batch   2307, Loss  0.853804, Average Loss  0.869179, Time  0.169928
2021-09-11 08:41:17.051794 : Epoch  4, Batch   2308, Loss  0.873586, Average Loss  0.869102, Time  0.171918
2021-09-11 08:41:18.665996 : Epoch  4, Batch   2309, Loss  0.891105, Average Loss  0.869266, Time  0.169929
2021-09-11 08:41:20.268813 : Epoch  4, Batch   2310, Loss  0.909736, Average Loss  0.869303, Time  0.169929
2021-09-11 08:41:21.871993 : Epoch  4, Batch   2311, Loss  0.871832, Average Loss  0.869369, Time  0.169358
2021-09-11 08:41:23.476797 : Epoch  4, Batch   2312, Loss  0.875945, Average Loss  0.869289, Time  0.169700
2021-09-11 08:41:25.083996 : Epoch  4, Batch   2313, Loss  0.882469, Average Loss  0.869403, Time  0.172305
2021-09-11 08:41:26.699993 : Epoch  4, Batch   2314, Loss  0.849231, Average Loss  0.869196, Time  0.169648
2021-09-11 08:41:28.313004 : Epoch  4, Batch   2315, Loss  0.869985, Average Loss  0.869169, Time  0.169815
2021-09-11 08:41:29.893776 : Epoch  4, Batch   2316, Loss  0.842717, Average Loss  0.869101, Time  0.169809
2021-09-11 08:41:31.480998 : Epoch  4, Batch   2317, Loss  0.852029, Average Loss  0.869086, Time  0.169759
2021-09-11 08:41:33.083994 : Epoch  4, Batch   2318, Loss  0.857679, Average Loss  0.868954, Time  0.169598
2021-09-11 08:41:34.681783 : Epoch  4, Batch   2319, Loss  0.854572, Average Loss  0.868899, Time  0.170142
2021-09-11 08:41:36.274811 : Epoch  4, Batch   2320, Loss  0.880066, Average Loss  0.868964, Time  0.169423
2021-09-11 08:41:37.880761 : Epoch  4, Batch   2321, Loss  0.851305, Average Loss  0.868969, Time  0.172327
2021-09-11 08:41:39.497779 : Epoch  4, Batch   2322, Loss  0.889479, Average Loss  0.869234, Time  0.169791
2021-09-11 08:41:41.117992 : Epoch  4, Batch   2323, Loss  0.866386, Average Loss  0.869206, Time  0.169392
2021-09-11 08:41:42.719994 : Epoch  4, Batch   2324, Loss  0.860951, Average Loss  0.869265, Time  0.169475
2021-09-11 08:41:43.210750 : CheckPoint: Validation Loss  0.00030389, Best Loss  0.00029019
2021-09-11 08:41:44.328793 : Epoch  4, Batch   2325, Loss  0.880776, Average Loss  0.869432, Time  0.169734
2021-09-11 08:41:45.794956 : Epoch  3, Batch   1289, Loss  0.857832, Average Loss  0.870432, Time  0.239378
2021-09-11 08:41:45.937748 : Epoch  4, Batch   2326, Loss  0.858709, Average Loss  0.869269, Time  0.170051
2021-09-11 08:41:47.557995 : Epoch  4, Batch   2327, Loss  0.850705, Average Loss  0.869219, Time  0.169452
2021-09-11 08:41:48.375996 : Epoch  3, Batch   1290, Loss  0.858705, Average Loss  0.870228, Time  0.238424
2021-09-11 08:41:49.168757 : Epoch  4, Batch   2328, Loss  0.846767, Average Loss  0.869230, Time  0.170186
2021-09-11 08:41:50.775996 : Epoch  4, Batch   2329, Loss  0.849685, Average Loss  0.869220, Time  0.169868
2021-09-11 08:41:50.966299 : Epoch  3, Batch   1291, Loss  0.865619, Average Loss  0.870273, Time  0.238491
2021-09-11 08:41:52.381785 : Epoch  4, Batch   2330, Loss  0.866809, Average Loss  0.869141, Time  0.170007
2021-09-11 08:41:53.557041 : Epoch  3, Batch   1292, Loss  0.859330, Average Loss  0.870252, Time  0.238409
2021-09-11 08:41:53.973992 : Epoch  4, Batch   2331, Loss  0.845753, Average Loss  0.869031, Time  0.169506
2021-09-11 08:41:55.580744 : Epoch  4, Batch   2332, Loss  0.870575, Average Loss  0.869109, Time  0.169756
2021-09-11 08:41:56.170838 : Epoch  3, Batch   1293, Loss  0.854942, Average Loss  0.870163, Time  0.239197
2021-09-11 08:41:57.184001 : Epoch  4, Batch   2333, Loss  0.862236, Average Loss  0.869113, Time  0.170172
2021-09-11 08:41:58.810042 : Epoch  4, Batch   2334, Loss  0.864632, Average Loss  0.869066, Time  0.170616
2021-09-11 08:42:00.446844 : Epoch  4, Batch   2335, Loss  0.857785, Average Loss  0.868836, Time  0.169922
2021-09-11 08:42:01.394857 : Epoch  3, Batch   1295, Loss  0.860664, Average Loss  0.870273, Time  0.240786
2021-09-11 08:42:02.089804 : Epoch  4, Batch   2336, Loss  0.881077, Average Loss  0.869045, Time  0.170111
2021-09-11 08:42:03.715771 : Epoch  4, Batch   2337, Loss  0.891289, Average Loss  0.869097, Time  0.169837
2021-09-11 08:42:03.984449 : Epoch  3, Batch   1296, Loss  0.861383, Average Loss  0.870153, Time  0.238053
2021-09-11 08:42:05.317790 : Epoch  4, Batch   2338, Loss  0.852681, Average Loss  0.869119, Time  0.169760
2021-09-11 08:42:06.577937 : Epoch  3, Batch   1297, Loss  0.880595, Average Loss  0.870165, Time  0.238804
2021-09-11 08:42:06.934813 : Epoch  4, Batch   2339, Loss  0.853543, Average Loss  0.868983, Time  0.170049
2021-09-11 08:42:08.543999 : Epoch  4, Batch   2340, Loss  0.875712, Average Loss  0.868977, Time  0.169767
2021-09-11 08:42:09.159578 : Epoch  3, Batch   1298, Loss  0.834998, Average Loss  0.869886, Time  0.237772
2021-09-11 08:42:10.148761 : Epoch  4, Batch   2341, Loss  0.855014, Average Loss  0.868732, Time  0.171526
2021-09-11 08:42:11.740731 : Epoch  4, Batch   2342, Loss  0.872575, Average Loss  0.868780, Time  0.172054
2021-09-11 08:42:11.767891 : Epoch  3, Batch   1299, Loss  0.870243, Average Loss  0.869852, Time  0.237318
2021-09-11 08:42:13.334835 : Epoch  4, Batch   2343, Loss  0.836652, Average Loss  0.868526, Time  0.169980
2021-09-11 08:42:14.388388 : Epoch  3, Batch   1300, Loss  0.839180, Average Loss  0.869692, Time  0.240686
2021-09-11 08:42:14.902778 : Epoch  4, Batch   2344, Loss  0.884591, Average Loss  0.868560, Time  0.169479
2021-09-11 08:42:16.486006 : Epoch  4, Batch   2345, Loss  0.868325, Average Loss  0.868685, Time  0.169780
2021-09-11 08:42:16.973051 : Epoch  3, Batch   1301, Loss  0.881946, Average Loss  0.869739, Time  0.238047
2021-09-11 08:42:18.050751 : Epoch  4, Batch   2346, Loss  0.881875, Average Loss  0.868863, Time  0.169524
2021-09-11 08:42:19.555027 : Epoch  3, Batch   1302, Loss  0.881891, Average Loss  0.869848, Time  0.240600
2021-09-11 08:42:19.616908 : Epoch  4, Batch   2347, Loss  0.861413, Average Loss  0.868699, Time  0.169461
2021-09-11 08:42:21.199766 : Epoch  4, Batch   2348, Loss  0.893589, Average Loss  0.868789, Time  0.169640
2021-09-11 08:42:22.133184 : Epoch  3, Batch   1303, Loss  0.880543, Average Loss  0.869898, Time  0.238351
2021-09-11 08:42:22.787751 : Epoch  4, Batch   2349, Loss  0.849162, Average Loss  0.868526, Time  0.169611
2021-09-11 08:42:24.355731 : Epoch  4, Batch   2350, Loss  0.854626, Average Loss  0.868313, Time  0.169805
2021-09-11 08:42:24.709283 : Epoch  3, Batch   1304, Loss  0.864095, Average Loss  0.869984, Time  0.237278
2021-09-11 08:42:25.937791 : Epoch  4, Batch   2351, Loss  0.862402, Average Loss  0.868313, Time  0.170627
2021-09-11 08:42:27.285174 : Epoch  3, Batch   1305, Loss  0.858432, Average Loss  0.869969, Time  0.240156
2021-09-11 08:42:27.530988 : Epoch  4, Batch   2352, Loss  0.886664, Average Loss  0.868377, Time  0.169560
2021-09-11 08:42:29.095787 : Epoch  4, Batch   2353, Loss  0.861086, Average Loss  0.868293, Time  0.169730
2021-09-11 08:42:29.860061 : Epoch  3, Batch   1306, Loss  0.862674, Average Loss  0.869933, Time  0.237641
2021-09-11 08:42:30.684978 : Epoch  4, Batch   2354, Loss  0.879953, Average Loss  0.868344, Time  0.169703
2021-09-11 08:42:32.271756 : Epoch  4, Batch   2355, Loss  0.847825, Average Loss  0.868143, Time  0.169505
2021-09-11 08:42:32.449350 : Epoch  3, Batch   1307, Loss  0.870370, Average Loss  0.869898, Time  0.237400
2021-09-11 08:42:33.869609 : Epoch  4, Batch   2356, Loss  0.891826, Average Loss  0.868293, Time  0.182730
2021-09-11 08:42:35.021649 : Epoch  3, Batch   1308, Loss  0.867889, Average Loss  0.869796, Time  0.238214
2021-09-11 08:42:35.441994 : Epoch  4, Batch   2357, Loss  0.877895, Average Loss  0.868295, Time  0.169923
2021-09-11 08:42:36.286961 : Epoch  3, Batch   1309, Loss  0.881419, Average Loss  0.869850, Time  0.139998
2021-09-11 08:42:37.018999 : Epoch  4, Batch   2358, Loss  0.867472, Average Loss  0.868376, Time  0.169897
2021-09-11 08:42:38.605023 : Epoch  4, Batch   2359, Loss  0.871103, Average Loss  0.868244, Time  0.169832
2021-09-11 08:42:38.868812 : Epoch  3, Batch   1310, Loss  0.871020, Average Loss  0.869901, Time  0.237683
2021-09-11 08:42:40.201843 : Epoch  4, Batch   2360, Loss  0.862201, Average Loss  0.868359, Time  0.169737
2021-09-11 08:42:41.457854 : Epoch  3, Batch   1311, Loss  0.894816, Average Loss  0.869967, Time  0.237341
2021-09-11 08:42:41.796772 : Epoch  4, Batch   2361, Loss  0.831230, Average Loss  0.868051, Time  0.169585
2021-09-11 08:42:43.357865 : Epoch  4, Batch   2362, Loss  0.856086, Average Loss  0.867982, Time  0.169842
2021-09-11 08:42:44.050599 : Epoch  3, Batch   1312, Loss  0.855013, Average Loss  0.869912, Time  0.237927
2021-09-11 08:42:44.926827 : Epoch  4, Batch   2363, Loss  0.866445, Average Loss  0.867746, Time  0.169712
2021-09-11 08:42:46.510820 : Epoch  4, Batch   2364, Loss  0.885492, Average Loss  0.867769, Time  0.169631
2021-09-11 08:42:46.668132 : Epoch  3, Batch   1313, Loss  0.873862, Average Loss  0.869985, Time  0.240940
2021-09-11 08:42:48.123750 : Epoch  4, Batch   2365, Loss  0.897004, Average Loss  0.867992, Time  0.169938
2021-09-11 08:42:49.248238 : Epoch  3, Batch   1314, Loss  0.865747, Average Loss  0.869914, Time  0.239136
2021-09-11 08:42:49.712816 : Epoch  4, Batch   2366, Loss  0.870337, Average Loss  0.867949, Time  0.169853
2021-09-11 08:42:51.269766 : Epoch  4, Batch   2367, Loss  0.836158, Average Loss  0.867899, Time  0.169713
2021-09-11 08:42:51.830856 : Epoch  3, Batch   1315, Loss  0.875421, Average Loss  0.870000, Time  0.240611
2021-09-11 08:42:54.457380 : Epoch  3, Batch   1316, Loss  0.877535, Average Loss  0.870160, Time  0.237140
2021-09-11 08:42:57.065278 : Epoch  3, Batch   1317, Loss  0.874630, Average Loss  0.870188, Time  0.239103
2021-09-11 08:42:59.660440 : Epoch  3, Batch   1318, Loss  0.855815, Average Loss  0.870053, Time  0.237995
2021-09-11 08:43:02.241044 : Epoch  3, Batch   1319, Loss  0.885068, Average Loss  0.870085, Time  0.238527
2021-09-11 08:43:04.833937 : Epoch  3, Batch   1320, Loss  0.895044, Average Loss  0.870211, Time  0.238605
2021-09-11 08:43:07.431874 : Epoch  3, Batch   1321, Loss  0.887937, Average Loss  0.870358, Time  0.237545
2021-09-11 08:43:10.023891 : Epoch  3, Batch   1322, Loss  0.872860, Average Loss  0.870393, Time  0.238850
2021-09-11 08:43:12.618947 : Epoch  3, Batch   1323, Loss  0.869064, Average Loss  0.870299, Time  0.237451
2021-09-11 08:43:15.208236 : Epoch  3, Batch   1324, Loss  0.874063, Average Loss  0.870286, Time  0.237162
2021-09-11 08:43:17.811688 : Epoch  3, Batch   1325, Loss  0.868654, Average Loss  0.870231, Time  0.240942
2021-09-11 08:43:20.406925 : Epoch  3, Batch   1326, Loss  0.864753, Average Loss  0.870301, Time  0.238005
2021-09-11 08:43:22.984380 : Epoch  3, Batch   1327, Loss  0.862074, Average Loss  0.870190, Time  0.237139
2021-09-11 08:43:25.568709 : Epoch  3, Batch   1328, Loss  0.849855, Average Loss  0.870057, Time  0.237829
2021-09-11 08:43:28.179013 : Epoch  3, Batch   1329, Loss  0.869623, Average Loss  0.870099, Time  0.241997
2021-09-11 08:43:30.787119 : Epoch  3, Batch   1330, Loss  0.864349, Average Loss  0.870082, Time  0.238468
2021-09-11 08:43:33.373992 : Epoch  3, Batch   1331, Loss  0.871793, Average Loss  0.870077, Time  0.239996
2021-09-11 08:43:35.966683 : Epoch  3, Batch   1332, Loss  0.866098, Average Loss  0.870009, Time  0.238343
2021-09-11 08:43:38.543358 : Epoch  3, Batch   1333, Loss  0.842502, Average Loss  0.869857, Time  0.237027
2021-09-11 08:43:41.143367 : Epoch  3, Batch   1334, Loss  0.835590, Average Loss  0.869719, Time  0.238122
2021-09-11 08:43:43.722838 : Epoch  3, Batch   1335, Loss  0.880154, Average Loss  0.869728, Time  0.237418
2021-09-11 08:43:46.311367 : Epoch  3, Batch   1336, Loss  0.872514, Average Loss  0.869711, Time  0.238699
2021-09-11 08:43:48.894987 : Epoch  3, Batch   1337, Loss  0.858621, Average Loss  0.869666, Time  0.237590
2021-09-11 08:43:51.483059 : Epoch  3, Batch   1338, Loss  0.845405, Average Loss  0.869456, Time  0.239294
2021-09-11 08:43:54.071333 : Epoch  3, Batch   1339, Loss  0.874037, Average Loss  0.869517, Time  0.237854
2021-09-11 08:43:56.655358 : Epoch  3, Batch   1340, Loss  0.857884, Average Loss  0.869430, Time  0.237419
2021-09-11 08:43:59.233068 : Epoch  3, Batch   1341, Loss  0.870857, Average Loss  0.869333, Time  0.238044
2021-09-11 08:44:01.861960 : Epoch  3, Batch   1342, Loss  0.853063, Average Loss  0.869261, Time  0.238005
2021-09-11 08:44:04.444815 : Epoch  3, Batch   1343, Loss  0.890871, Average Loss  0.869462, Time  0.238262
2021-09-11 08:44:07.036989 : Epoch  3, Batch   1344, Loss  0.853577, Average Loss  0.869417, Time  0.237574
2021-09-11 08:44:09.616327 : Epoch  3, Batch   1345, Loss  0.882899, Average Loss  0.869499, Time  0.237670
2021-09-11 08:44:12.202830 : Epoch  3, Batch   1346, Loss  0.872680, Average Loss  0.869560, Time  0.238021
2021-09-11 08:44:14.827383 : Epoch  3, Batch   1347, Loss  0.868258, Average Loss  0.869555, Time  0.239710
2021-09-11 08:44:17.412388 : Epoch  3, Batch   1348, Loss  0.867989, Average Loss  0.869520, Time  0.238130
2021-09-11 08:44:19.999216 : Epoch  3, Batch   1349, Loss  0.873976, Average Loss  0.869506, Time  0.237479
2021-09-11 08:44:22.591882 : Epoch  3, Batch   1350, Loss  0.858139, Average Loss  0.869488, Time  0.237869
2021-09-11 08:44:25.169570 : Epoch  3, Batch   1351, Loss  0.885798, Average Loss  0.869640, Time  0.238462
2021-09-11 08:44:27.747312 : Epoch  3, Batch   1352, Loss  0.850600, Average Loss  0.869436, Time  0.237458
2021-09-11 08:44:30.328370 : Epoch  3, Batch   1353, Loss  0.882269, Average Loss  0.869536, Time  0.236984
2021-09-11 08:44:32.907103 : Epoch  3, Batch   1354, Loss  0.860335, Average Loss  0.869508, Time  0.237308
2021-09-11 08:44:35.490371 : Epoch  3, Batch   1355, Loss  0.869210, Average Loss  0.869486, Time  0.238287
2021-09-11 08:44:38.071817 : Epoch  3, Batch   1356, Loss  0.876908, Average Loss  0.869585, Time  0.239171
2021-09-11 08:44:40.648576 : Epoch  3, Batch   1357, Loss  0.886199, Average Loss  0.869658, Time  0.237232
2021-09-11 08:44:43.255924 : Epoch  3, Batch   1358, Loss  0.894991, Average Loss  0.869925, Time  0.237698
2021-09-11 08:44:45.872555 : Epoch  3, Batch   1359, Loss  0.846949, Average Loss  0.869719, Time  0.238900
2021-09-11 08:44:48.456656 : Epoch  3, Batch   1360, Loss  0.872582, Average Loss  0.869644, Time  0.237868
2021-09-11 08:44:51.039036 : Epoch  3, Batch   1361, Loss  0.859582, Average Loss  0.869627, Time  0.237933
2021-09-11 08:44:53.627355 : Epoch  3, Batch   1362, Loss  0.861505, Average Loss  0.869516, Time  0.237545
2021-09-11 08:44:56.210917 : Epoch  3, Batch   1363, Loss  0.855024, Average Loss  0.869329, Time  0.238193
2021-09-11 08:44:58.793937 : Epoch  3, Batch   1364, Loss  0.854841, Average Loss  0.869332, Time  0.237545
2021-09-11 08:45:01.386332 : Epoch  3, Batch   1365, Loss  0.847834, Average Loss  0.869206, Time  0.238789
2021-09-11 08:45:03.995696 : Epoch  3, Batch   1366, Loss  0.893620, Average Loss  0.869329, Time  0.238213
2021-09-11 08:45:06.584941 : Epoch  3, Batch   1367, Loss  0.874688, Average Loss  0.869328, Time  0.237942
2021-09-11 08:45:09.174811 : Epoch  3, Batch   1368, Loss  0.872587, Average Loss  0.869325, Time  0.237872
2021-09-11 08:45:11.772057 : Epoch  3, Batch   1369, Loss  0.870480, Average Loss  0.869204, Time  0.238678
2021-09-11 08:45:14.362041 : Epoch  3, Batch   1370, Loss  0.875517, Average Loss  0.869206, Time  0.238007
2021-09-11 08:45:16.952229 : Epoch  3, Batch   1371, Loss  0.869283, Average Loss  0.869106, Time  0.237667
2021-09-11 08:45:19.528590 : Epoch  3, Batch   1372, Loss  0.880523, Average Loss  0.869155, Time  0.237324
2021-09-11 08:45:22.122421 : Epoch  3, Batch   1373, Loss  0.846737, Average Loss  0.869041, Time  0.237317
2021-09-11 08:45:24.705850 : Epoch  3, Batch   1374, Loss  0.863782, Average Loss  0.869016, Time  0.237404
2021-09-11 08:45:27.292491 : Epoch  3, Batch   1375, Loss  0.879764, Average Loss  0.869137, Time  0.237375
2021-09-11 08:45:29.892375 : Epoch  3, Batch   1376, Loss  0.874405, Average Loss  0.869179, Time  0.237567
2021-09-11 08:45:32.483807 : Epoch  3, Batch   1377, Loss  0.861498, Average Loss  0.869139, Time  0.237761
2021-09-11 08:45:35.068972 : Epoch  3, Batch   1378, Loss  0.887530, Average Loss  0.869210, Time  0.237793
2021-09-11 08:45:37.650843 : Epoch  3, Batch   1379, Loss  0.862602, Average Loss  0.869134, Time  0.237606
2021-09-11 08:45:40.230877 : Epoch  3, Batch   1380, Loss  0.868354, Average Loss  0.869107, Time  0.237210
2021-09-11 08:45:42.816974 : Epoch  3, Batch   1381, Loss  0.857530, Average Loss  0.868988, Time  0.241076
2021-09-11 08:45:45.412814 : Epoch  3, Batch   1382, Loss  0.852947, Average Loss  0.868908, Time  0.237991
2021-09-11 08:45:48.007373 : Epoch  3, Batch   1383, Loss  0.854349, Average Loss  0.868782, Time  0.237238
2021-09-11 08:45:50.606806 : Epoch  3, Batch   1384, Loss  0.861253, Average Loss  0.868684, Time  0.238474
2021-09-11 08:45:53.183832 : Epoch  3, Batch   1385, Loss  0.878632, Average Loss  0.868721, Time  0.237499
2021-09-11 08:45:55.767829 : Epoch  3, Batch   1386, Loss  0.867387, Average Loss  0.868763, Time  0.237499
2021-09-11 08:45:58.360829 : Epoch  3, Batch   1387, Loss  0.848699, Average Loss  0.868662, Time  0.241264
2021-09-11 08:46:00.953294 : Epoch  3, Batch   1388, Loss  0.861837, Average Loss  0.868644, Time  0.237943
2021-09-11 08:47:32.544034 : CheckPoint: Validation Loss  0.00060073, Best Loss  0.00057296
2021-09-11 08:47:34.156864 : Epoch  4, Batch   2368, Loss  0.882000, Average Loss  0.867976, Time  0.177528
2021-09-11 08:47:35.758844 : Epoch  4, Batch   2369, Loss  0.847425, Average Loss  0.867897, Time  0.170342
2021-09-11 08:47:37.422755 : Epoch  4, Batch   2370, Loss  0.899573, Average Loss  0.867938, Time  0.170653
2021-09-11 08:47:39.034027 : Epoch  4, Batch   2371, Loss  0.882054, Average Loss  0.868049, Time  0.169976
2021-09-11 08:47:40.641993 : Epoch  4, Batch   2372, Loss  0.875496, Average Loss  0.868111, Time  0.169946
2021-09-11 08:47:42.238994 : Epoch  4, Batch   2373, Loss  0.867312, Average Loss  0.868173, Time  0.169968
2021-09-11 08:47:43.841739 : Epoch  4, Batch   2374, Loss  0.813955, Average Loss  0.867822, Time  0.169477
2021-09-11 08:47:45.427916 : Epoch  4, Batch   2375, Loss  0.855648, Average Loss  0.867869, Time  0.170157
2021-09-11 08:47:47.014983 : Epoch  4, Batch   2376, Loss  0.863980, Average Loss  0.867878, Time  0.169659
2021-09-11 08:47:48.605746 : Epoch  4, Batch   2377, Loss  0.870678, Average Loss  0.867922, Time  0.170058
2021-09-11 08:47:50.182835 : Epoch  4, Batch   2378, Loss  0.871528, Average Loss  0.868011, Time  0.169924
2021-09-11 08:47:51.771984 : Epoch  4, Batch   2379, Loss  0.884089, Average Loss  0.868099, Time  0.169678
2021-09-11 08:47:53.368819 : Epoch  4, Batch   2380, Loss  0.908251, Average Loss  0.868373, Time  0.169345
2021-09-11 08:47:54.985797 : Epoch  4, Batch   2381, Loss  0.869149, Average Loss  0.868361, Time  0.171929
2021-09-11 08:47:56.626983 : Epoch  4, Batch   2382, Loss  0.884626, Average Loss  0.868563, Time  0.169532
2021-09-11 08:47:58.229848 : Epoch  4, Batch   2383, Loss  0.884622, Average Loss  0.868517, Time  0.169701
2021-09-11 08:47:59.828832 : Epoch  4, Batch   2384, Loss  0.847907, Average Loss  0.868461, Time  0.169740
2021-09-11 08:48:01.434945 : Epoch  4, Batch   2385, Loss  0.890575, Average Loss  0.868533, Time  0.169419
2021-09-11 08:48:03.047996 : Epoch  4, Batch   2386, Loss  0.872652, Average Loss  0.868512, Time  0.172107
2021-09-11 08:48:04.660791 : Epoch  4, Batch   2387, Loss  0.858034, Average Loss  0.868496, Time  0.172197
2021-09-11 08:48:06.267754 : Epoch  4, Batch   2388, Loss  0.858854, Average Loss  0.868553, Time  0.169462
2021-09-11 08:48:07.879747 : Epoch  4, Batch   2389, Loss  0.882341, Average Loss  0.868665, Time  0.169625
2021-09-11 08:48:09.492823 : Epoch  4, Batch   2390, Loss  0.868872, Average Loss  0.868762, Time  0.171680
2021-09-11 08:48:11.103983 : Epoch  4, Batch   2391, Loss  0.853880, Average Loss  0.868743, Time  0.170435
2021-09-11 08:48:12.704778 : Epoch  4, Batch   2392, Loss  0.874716, Average Loss  0.868705, Time  0.169609
2021-09-11 08:48:14.316996 : Epoch  4, Batch   2393, Loss  0.854246, Average Loss  0.868665, Time  0.169739
2021-09-11 08:48:15.917797 : Epoch  4, Batch   2394, Loss  0.894680, Average Loss  0.868661, Time  0.169853
2021-09-11 08:48:17.517000 : Epoch  4, Batch   2395, Loss  0.865969, Average Loss  0.868649, Time  0.169619
2021-09-11 08:48:19.118008 : Epoch  4, Batch   2396, Loss  0.876687, Average Loss  0.868655, Time  0.169705
2021-09-11 08:48:20.726002 : Epoch  4, Batch   2397, Loss  0.899458, Average Loss  0.868884, Time  0.169983
2021-09-11 08:48:22.324774 : Epoch  4, Batch   2398, Loss  0.885818, Average Loss  0.868950, Time  0.169753
2021-09-11 08:48:23.925000 : Epoch  4, Batch   2399, Loss  0.841156, Average Loss  0.868886, Time  0.172035
2021-09-11 08:48:25.543754 : Epoch  4, Batch   2400, Loss  0.844887, Average Loss  0.868755, Time  0.169686
2021-09-11 08:48:27.121771 : Epoch  4, Batch   2401, Loss  0.847630, Average Loss  0.868672, Time  0.169895
2021-09-11 08:48:28.719983 : Epoch  4, Batch   2402, Loss  0.873869, Average Loss  0.868782, Time  0.172099
2021-09-11 08:48:30.320755 : Epoch  4, Batch   2403, Loss  0.855679, Average Loss  0.868681, Time  0.169685
2021-09-11 08:48:31.923928 : Epoch  4, Batch   2404, Loss  0.839545, Average Loss  0.868471, Time  0.169389
2021-09-11 08:48:33.545011 : Epoch  4, Batch   2405, Loss  0.873898, Average Loss  0.868443, Time  0.169574
2021-09-11 08:48:35.156838 : Epoch  4, Batch   2406, Loss  0.864538, Average Loss  0.868380, Time  0.169753
2021-09-11 08:48:36.757730 : Epoch  4, Batch   2407, Loss  0.836997, Average Loss  0.868132, Time  0.169763
2021-09-11 08:48:38.363995 : Epoch  4, Batch   2408, Loss  0.871973, Average Loss  0.868038, Time  0.169989
2021-09-11 08:48:39.999857 : Epoch  4, Batch   2409, Loss  0.852966, Average Loss  0.867899, Time  0.169980
2021-09-11 08:48:41.593743 : Epoch  4, Batch   2410, Loss  0.882913, Average Loss  0.868034, Time  0.169603
2021-09-11 08:48:43.205800 : Epoch  4, Batch   2411, Loss  0.895111, Average Loss  0.868113, Time  0.170414
2021-09-11 08:48:44.806994 : Epoch  4, Batch   2412, Loss  0.870408, Average Loss  0.868150, Time  0.169654
2021-09-11 08:48:46.414870 : Epoch  4, Batch   2413, Loss  0.847008, Average Loss  0.868285, Time  0.169958
2021-09-11 08:48:48.019781 : Epoch  4, Batch   2414, Loss  0.866050, Average Loss  0.868354, Time  0.169752
2021-09-11 08:48:49.626004 : Epoch  4, Batch   2415, Loss  0.875433, Average Loss  0.868389, Time  0.170014
2021-09-11 08:48:51.215932 : Epoch  4, Batch   2416, Loss  0.839175, Average Loss  0.868214, Time  0.169514
2021-09-11 08:48:52.809779 : Epoch  4, Batch   2417, Loss  0.869693, Average Loss  0.868177, Time  0.170081
2021-09-11 08:48:54.412983 : Epoch  4, Batch   2418, Loss  0.836627, Average Loss  0.868035, Time  0.169469
2021-09-11 08:48:56.015758 : Epoch  4, Batch   2419, Loss  0.827790, Average Loss  0.867793, Time  0.171947
2021-09-11 08:48:57.615996 : Epoch  4, Batch   2420, Loss  0.881772, Average Loss  0.867967, Time  0.169681
2021-09-11 08:48:59.230802 : Epoch  4, Batch   2421, Loss  0.873956, Average Loss  0.867949, Time  0.172042
2021-09-11 08:49:00.833754 : Epoch  4, Batch   2422, Loss  0.859136, Average Loss  0.867906, Time  0.169522
2021-09-11 08:49:02.444828 : Epoch  4, Batch   2423, Loss  0.878602, Average Loss  0.868009, Time  0.169693
2021-09-11 08:49:04.045826 : Epoch  4, Batch   2424, Loss  0.855690, Average Loss  0.868038, Time  0.169764
2021-09-11 08:49:05.643846 : Epoch  4, Batch   2425, Loss  0.859545, Average Loss  0.867912, Time  0.170349
2021-09-11 08:49:07.247999 : Epoch  4, Batch   2426, Loss  0.895971, Average Loss  0.868075, Time  0.169621
2021-09-11 08:49:08.868805 : Epoch  4, Batch   2427, Loss  0.888731, Average Loss  0.868145, Time  0.171871
2021-09-11 08:49:10.474000 : Epoch  4, Batch   2428, Loss  0.858275, Average Loss  0.868255, Time  0.169593
2021-09-11 08:49:12.081743 : Epoch  4, Batch   2429, Loss  0.872509, Average Loss  0.868432, Time  0.172383
2021-09-11 08:49:13.697979 : Epoch  4, Batch   2430, Loss  0.867184, Average Loss  0.868288, Time  0.171702
2021-09-11 08:49:15.297799 : Epoch  4, Batch   2431, Loss  0.839892, Average Loss  0.868154, Time  0.169568
2021-09-11 08:49:16.897734 : Epoch  4, Batch   2432, Loss  0.881817, Average Loss  0.868117, Time  0.169715
2021-09-11 08:49:18.499809 : Epoch  4, Batch   2433, Loss  0.891403, Average Loss  0.868219, Time  0.169565
2021-09-11 08:49:20.093865 : Epoch  4, Batch   2434, Loss  0.838724, Average Loss  0.868041, Time  0.169510
2021-09-11 08:49:21.698773 : Epoch  4, Batch   2435, Loss  0.875934, Average Loss  0.868078, Time  0.171841
2021-09-11 08:49:23.306002 : Epoch  4, Batch   2436, Loss  0.858968, Average Loss  0.867928, Time  0.169775
2021-09-11 08:49:24.909001 : Epoch  4, Batch   2437, Loss  0.855119, Average Loss  0.867931, Time  0.169607
2021-09-11 08:49:26.517989 : Epoch  4, Batch   2438, Loss  0.863043, Average Loss  0.868110, Time  0.169369
2021-09-11 08:49:28.119985 : Epoch  4, Batch   2439, Loss  0.851430, Average Loss  0.868125, Time  0.169734
2021-09-11 08:49:29.714912 : Epoch  4, Batch   2440, Loss  0.868065, Average Loss  0.868038, Time  0.169900
2021-09-11 08:49:31.310770 : Epoch  4, Batch   2441, Loss  0.875179, Average Loss  0.868039, Time  0.169420
2021-09-11 08:49:32.893870 : Epoch  4, Batch   2442, Loss  0.867274, Average Loss  0.868047, Time  0.169934
2021-09-11 08:49:34.509234 : Epoch  4, Batch   2443, Loss  0.847292, Average Loss  0.867961, Time  0.176195
2021-09-11 08:49:36.109742 : Epoch  4, Batch   2444, Loss  0.892657, Average Loss  0.867885, Time  0.172757
2021-09-11 08:49:37.706030 : Epoch  4, Batch   2445, Loss  0.863124, Average Loss  0.867803, Time  0.174798
2021-09-11 08:49:39.336795 : Epoch  4, Batch   2446, Loss  0.882325, Average Loss  0.867895, Time  0.171621
2021-09-11 08:49:40.966748 : Epoch  4, Batch   2447, Loss  0.878156, Average Loss  0.867908, Time  0.170349
2021-09-11 08:49:42.560808 : Epoch  4, Batch   2448, Loss  0.851818, Average Loss  0.867885, Time  0.170813
2021-09-11 08:49:44.150752 : Epoch  4, Batch   2449, Loss  0.886649, Average Loss  0.867965, Time  0.169902
2021-09-11 08:49:45.761840 : Epoch  4, Batch   2450, Loss  0.863798, Average Loss  0.868006, Time  0.172382
2021-09-11 08:49:47.367813 : Epoch  4, Batch   2451, Loss  0.883349, Average Loss  0.868131, Time  0.170294
2021-09-11 08:49:48.963016 : Epoch  4, Batch   2452, Loss  0.858992, Average Loss  0.867981, Time  0.169821
2021-09-11 08:49:50.573995 : Epoch  4, Batch   2453, Loss  0.829143, Average Loss  0.867935, Time  0.169298
2021-09-11 08:49:52.181814 : Epoch  4, Batch   2454, Loss  0.847363, Average Loss  0.867569, Time  0.170031
2021-09-11 08:49:53.780982 : Epoch  4, Batch   2455, Loss  0.898140, Average Loss  0.867726, Time  0.169605
2021-09-11 08:49:55.376737 : Epoch  4, Batch   2456, Loss  0.868557, Average Loss  0.867736, Time  0.169563
2021-09-11 08:49:56.971759 : Epoch  4, Batch   2457, Loss  0.886786, Average Loss  0.867949, Time  0.170235
2021-09-11 08:49:58.575831 : Epoch  4, Batch   2458, Loss  0.893981, Average Loss  0.868019, Time  0.171738
2021-09-11 08:50:00.182758 : Epoch  4, Batch   2459, Loss  0.848194, Average Loss  0.867826, Time  0.169682
2021-09-11 08:50:01.789783 : Epoch  4, Batch   2460, Loss  0.886748, Average Loss  0.867959, Time  0.170074
2021-09-11 08:50:02.465741 : CheckPoint: Validation Loss  0.00030783, Best Loss  0.00029019
2021-09-11 08:50:03.389813 : Epoch  4, Batch   2461, Loss  0.856703, Average Loss  0.867767, Time  0.169918
2021-09-11 08:50:04.973843 : Epoch  4, Batch   2462, Loss  0.874391, Average Loss  0.867786, Time  0.169604
2021-09-11 08:50:05.044945 : Epoch  3, Batch   1389, Loss  0.878112, Average Loss  0.868694, Time  0.239003
2021-09-11 08:50:06.540985 : Epoch  4, Batch   2463, Loss  0.831914, Average Loss  0.867660, Time  0.170055
2021-09-11 08:50:07.631337 : Epoch  3, Batch   1390, Loss  0.897420, Average Loss  0.868882, Time  0.237275
2021-09-11 08:50:08.146853 : Epoch  4, Batch   2464, Loss  0.883504, Average Loss  0.867722, Time  0.169706
2021-09-11 08:50:09.740754 : Epoch  4, Batch   2465, Loss  0.858699, Average Loss  0.867537, Time  0.169879
2021-09-11 08:50:10.230829 : Epoch  3, Batch   1391, Loss  0.863126, Average Loss  0.868815, Time  0.236953
2021-09-11 08:50:11.334903 : Epoch  4, Batch   2466, Loss  0.880163, Average Loss  0.867509, Time  0.169571
2021-09-11 08:50:12.810355 : Epoch  3, Batch   1392, Loss  0.842819, Average Loss  0.868673, Time  0.238165
2021-09-11 08:50:12.926788 : Epoch  4, Batch   2467, Loss  0.917641, Average Loss  0.867777, Time  0.169810
2021-09-11 08:50:15.390261 : Epoch  3, Batch   1393, Loss  0.862094, Average Loss  0.868698, Time  0.237189
2021-09-11 08:50:17.964971 : Epoch  3, Batch   1394, Loss  0.858635, Average Loss  0.868673, Time  0.237280
2021-09-11 08:50:20.552222 : Epoch  3, Batch   1395, Loss  0.856730, Average Loss  0.868532, Time  0.237523
2021-09-11 08:50:23.149377 : Epoch  3, Batch   1396, Loss  0.874197, Average Loss  0.868504, Time  0.237860
2021-09-11 08:50:25.740877 : Epoch  3, Batch   1397, Loss  0.887054, Average Loss  0.868629, Time  0.237147
2021-09-11 08:50:28.319347 : Epoch  3, Batch   1398, Loss  0.867596, Average Loss  0.868631, Time  0.238460
2021-09-11 08:50:30.900898 : Epoch  3, Batch   1399, Loss  0.849472, Average Loss  0.868451, Time  0.237330
2021-09-11 08:50:33.473449 : Epoch  3, Batch   1400, Loss  0.850803, Average Loss  0.868384, Time  0.237868
2021-09-11 08:50:36.052827 : Epoch  3, Batch   1401, Loss  0.866985, Average Loss  0.868417, Time  0.238502
2021-09-11 08:50:38.633020 : Epoch  3, Batch   1402, Loss  0.835757, Average Loss  0.868276, Time  0.237254
2021-09-11 08:50:41.203811 : Epoch  3, Batch   1403, Loss  0.870696, Average Loss  0.868273, Time  0.237262
2021-09-11 08:50:43.779050 : Epoch  3, Batch   1404, Loss  0.857205, Average Loss  0.868123, Time  0.237438
2021-09-11 08:50:46.361222 : Epoch  3, Batch   1405, Loss  0.869481, Average Loss  0.868079, Time  0.238612
2021-09-11 08:50:48.951378 : Epoch  3, Batch   1406, Loss  0.864156, Average Loss  0.867892, Time  0.238133
2021-09-11 08:50:51.531852 : Epoch  3, Batch   1407, Loss  0.878514, Average Loss  0.867807, Time  0.237910
2021-09-11 08:50:54.115332 : Epoch  3, Batch   1408, Loss  0.843476, Average Loss  0.867766, Time  0.237693
2021-09-11 08:50:56.737897 : Epoch  3, Batch   1409, Loss  0.844426, Average Loss  0.867655, Time  0.239937
2021-09-11 08:50:59.316969 : Epoch  3, Batch   1410, Loss  0.865866, Average Loss  0.867622, Time  0.237528
2021-09-11 08:51:01.896231 : Epoch  3, Batch   1411, Loss  0.871161, Average Loss  0.867647, Time  0.238954
2021-09-11 08:51:04.491925 : Epoch  3, Batch   1412, Loss  0.888083, Average Loss  0.867806, Time  0.239185
2021-09-11 08:51:07.083944 : Epoch  3, Batch   1413, Loss  0.856212, Average Loss  0.867569, Time  0.239455
2021-09-11 08:51:09.654939 : Epoch  3, Batch   1414, Loss  0.864871, Average Loss  0.867469, Time  0.239014
2021-09-11 08:51:12.238984 : Epoch  3, Batch   1415, Loss  0.860648, Average Loss  0.867387, Time  0.237406
2021-09-11 08:51:14.818814 : Epoch  3, Batch   1416, Loss  0.853249, Average Loss  0.867388, Time  0.237630
2021-09-11 08:51:17.397164 : Epoch  3, Batch   1417, Loss  0.857003, Average Loss  0.867352, Time  0.237475
2021-09-11 08:51:19.984408 : Epoch  3, Batch   1418, Loss  0.861309, Average Loss  0.867267, Time  0.237687
2021-09-11 08:51:22.565942 : Epoch  3, Batch   1419, Loss  0.893355, Average Loss  0.867519, Time  0.238073
2021-09-11 08:51:25.133940 : Epoch  3, Batch   1420, Loss  0.881545, Average Loss  0.867515, Time  0.237321
2021-09-11 08:51:27.726951 : Epoch  3, Batch   1421, Loss  0.856981, Average Loss  0.867462, Time  0.240190
2021-09-11 08:51:30.309407 : Epoch  3, Batch   1422, Loss  0.848005, Average Loss  0.867437, Time  0.237280
2021-09-11 08:51:32.887862 : Epoch  3, Batch   1423, Loss  0.863978, Average Loss  0.867383, Time  0.237364
2021-09-11 08:51:35.460409 : Epoch  3, Batch   1424, Loss  0.867163, Average Loss  0.867320, Time  0.237148
2021-09-11 08:51:38.053197 : Epoch  3, Batch   1425, Loss  0.852790, Average Loss  0.867264, Time  0.239551
2021-09-11 08:51:40.660404 : Epoch  3, Batch   1426, Loss  0.870412, Average Loss  0.867230, Time  0.237350
2021-09-11 08:51:43.227360 : Epoch  3, Batch   1427, Loss  0.889222, Average Loss  0.867433, Time  0.236950
2021-09-11 08:51:45.801852 : Epoch  3, Batch   1428, Loss  0.879202, Average Loss  0.867513, Time  0.237225
2021-09-11 08:51:48.380388 : Epoch  3, Batch   1429, Loss  0.885910, Average Loss  0.867584, Time  0.237230
2021-09-11 08:51:50.961385 : Epoch  3, Batch   1430, Loss  0.852807, Average Loss  0.867453, Time  0.238632
2021-09-11 08:51:53.561610 : Epoch  3, Batch   1431, Loss  0.870855, Average Loss  0.867527, Time  0.237635
2021-09-11 08:51:56.127993 : Epoch  3, Batch   1432, Loss  0.880939, Average Loss  0.867711, Time  0.237689
2021-09-11 08:51:58.710919 : Epoch  3, Batch   1433, Loss  0.873931, Average Loss  0.867729, Time  0.237719
2021-09-11 08:52:01.418395 : Epoch  3, Batch   1434, Loss  0.858409, Average Loss  0.867745, Time  0.237413
2021-09-11 08:52:04.003977 : Epoch  3, Batch   1435, Loss  0.870666, Average Loss  0.867817, Time  0.238739
2021-09-11 08:52:06.603964 : Epoch  3, Batch   1436, Loss  0.891129, Average Loss  0.868069, Time  0.237882
2021-09-11 08:52:09.180834 : Epoch  3, Batch   1437, Loss  0.882771, Average Loss  0.868099, Time  0.237405
2021-09-11 08:52:11.763824 : Epoch  3, Batch   1438, Loss  0.878945, Average Loss  0.868061, Time  0.237888
2021-09-11 08:52:14.357350 : Epoch  3, Batch   1439, Loss  0.857918, Average Loss  0.868070, Time  0.237593
2021-09-11 08:52:16.954149 : Epoch  3, Batch   1440, Loss  0.888335, Average Loss  0.868269, Time  0.237363
2021-09-11 08:52:19.531140 : Epoch  3, Batch   1441, Loss  0.868897, Average Loss  0.868184, Time  0.237402
2021-09-11 08:52:22.106921 : Epoch  3, Batch   1442, Loss  0.859221, Average Loss  0.868106, Time  0.237226
2021-09-11 08:52:24.692921 : Epoch  3, Batch   1443, Loss  0.866015, Average Loss  0.868040, Time  0.237617
2021-09-11 08:52:27.261406 : Epoch  3, Batch   1444, Loss  0.849895, Average Loss  0.868027, Time  0.238150
2021-09-11 08:52:29.847049 : Epoch  3, Batch   1445, Loss  0.887478, Average Loss  0.868071, Time  0.237490
2021-09-11 08:52:32.426915 : Epoch  3, Batch   1446, Loss  0.895763, Average Loss  0.868325, Time  0.239505
2021-09-11 08:52:35.005135 : Epoch  3, Batch   1447, Loss  0.876066, Average Loss  0.868324, Time  0.237296
2021-09-11 08:52:37.595404 : Epoch  3, Batch   1448, Loss  0.876387, Average Loss  0.868351, Time  0.239040
2021-09-11 08:52:40.180038 : Epoch  3, Batch   1449, Loss  0.865739, Average Loss  0.868201, Time  0.240188
2021-09-11 08:52:42.758829 : Epoch  3, Batch   1450, Loss  0.893004, Average Loss  0.868299, Time  0.237985
2021-09-11 08:52:45.331492 : Epoch  3, Batch   1451, Loss  0.866285, Average Loss  0.868190, Time  0.238286
2021-09-11 08:52:47.904087 : Epoch  3, Batch   1452, Loss  0.860103, Average Loss  0.868012, Time  0.237605
2021-09-11 08:52:50.486356 : Epoch  3, Batch   1453, Loss  0.889668, Average Loss  0.867907, Time  0.240117
2021-09-11 08:52:53.060791 : Epoch  3, Batch   1454, Loss  0.872537, Average Loss  0.867897, Time  0.238658
2021-09-11 08:52:55.635126 : Epoch  3, Batch   1455, Loss  0.875512, Average Loss  0.867864, Time  0.237432
2021-09-11 08:52:58.227929 : Epoch  3, Batch   1456, Loss  0.865128, Average Loss  0.867861, Time  0.238174
2021-09-11 08:53:00.834407 : Epoch  3, Batch   1457, Loss  0.864203, Average Loss  0.867734, Time  0.237801
2021-09-11 08:53:03.404010 : Epoch  3, Batch   1458, Loss  0.890690, Average Loss  0.867948, Time  0.238738
2021-09-11 08:53:06.114786 : Epoch  3, Batch   1459, Loss  0.876861, Average Loss  0.868053, Time  0.237414
2021-09-11 08:53:08.697797 : Epoch  3, Batch   1460, Loss  0.877841, Average Loss  0.868213, Time  0.238445
2021-09-11 08:53:11.271835 : Epoch  3, Batch   1461, Loss  0.892979, Average Loss  0.868289, Time  0.237331
2021-09-11 08:53:13.842562 : Epoch  3, Batch   1462, Loss  0.875054, Average Loss  0.868290, Time  0.237092
2021-09-11 08:53:16.411893 : Epoch  3, Batch   1463, Loss  0.878908, Average Loss  0.868310, Time  0.237241
2021-09-11 08:53:18.979918 : Epoch  3, Batch   1464, Loss  0.881170, Average Loss  0.868336, Time  0.237310
2021-09-11 08:53:21.558370 : Epoch  3, Batch   1465, Loss  0.868264, Average Loss  0.868322, Time  0.237212
2021-09-11 08:53:24.139123 : Epoch  3, Batch   1466, Loss  0.878964, Average Loss  0.868348, Time  0.237625
2021-09-11 08:53:26.712864 : Epoch  3, Batch   1467, Loss  0.861021, Average Loss  0.868366, Time  0.237238
2021-09-11 08:53:29.276559 : Epoch  3, Batch   1468, Loss  0.882658, Average Loss  0.868484, Time  0.237401
2021-09-11 08:53:31.837076 : Epoch  3, Batch   1469, Loss  0.881494, Average Loss  0.868540, Time  0.237383
2021-09-11 08:53:34.438953 : Epoch  3, Batch   1470, Loss  0.869256, Average Loss  0.868554, Time  0.240883
2021-09-11 08:53:37.032868 : Epoch  3, Batch   1471, Loss  0.877728, Average Loss  0.868578, Time  0.244030
2021-09-11 08:53:39.601809 : Epoch  3, Batch   1472, Loss  0.886988, Average Loss  0.868764, Time  0.238280
2021-09-11 08:53:42.169599 : Epoch  3, Batch   1473, Loss  0.889528, Average Loss  0.868883, Time  0.237375
2021-09-11 08:53:44.749989 : Epoch  3, Batch   1474, Loss  0.902833, Average Loss  0.868996, Time  0.237108
2021-09-11 08:53:47.323377 : Epoch  3, Batch   1475, Loss  0.867535, Average Loss  0.868957, Time  0.237193
2021-09-11 08:53:49.896382 : Epoch  3, Batch   1476, Loss  0.887267, Average Loss  0.869170, Time  0.238728
2021-09-11 08:53:52.479872 : Epoch  3, Batch   1477, Loss  0.875128, Average Loss  0.869203, Time  0.240804
2021-09-11 08:53:55.067949 : Epoch  3, Batch   1478, Loss  0.879087, Average Loss  0.869295, Time  0.245486
2021-09-11 08:53:57.640407 : Epoch  3, Batch   1479, Loss  0.875557, Average Loss  0.869293, Time  0.237527
2021-09-11 08:54:00.221108 : Epoch  3, Batch   1480, Loss  0.882407, Average Loss  0.869253, Time  0.240324
2021-09-11 08:54:02.798147 : Epoch  3, Batch   1481, Loss  0.848840, Average Loss  0.869154, Time  0.246285
2021-09-11 08:54:05.369613 : Epoch  3, Batch   1482, Loss  0.864667, Average Loss  0.869108, Time  0.237472
2021-09-11 08:54:07.951139 : Epoch  3, Batch   1483, Loss  0.855025, Average Loss  0.869067, Time  0.237067
2021-09-11 08:54:10.531378 : Epoch  3, Batch   1484, Loss  0.846729, Average Loss  0.868909, Time  0.238063
2021-09-11 08:54:13.109320 : Epoch  3, Batch   1485, Loss  0.854790, Average Loss  0.868845, Time  0.237477
2021-09-11 08:54:15.687373 : Epoch  3, Batch   1486, Loss  0.862638, Average Loss  0.868830, Time  0.237413
2021-09-11 08:54:18.257359 : Epoch  3, Batch   1487, Loss  0.872693, Average Loss  0.868934, Time  0.238027
2021-09-11 08:54:20.834384 : Epoch  3, Batch   1488, Loss  0.870175, Average Loss  0.868945, Time  0.237124
2021-09-11 08:54:53.881730 : CheckPoint: Validation Loss  0.00061118, Best Loss  0.00057296
2021-09-11 08:54:55.508927 : Epoch  4, Batch   2468, Loss  0.841333, Average Loss  0.867726, Time  0.177389
2021-09-11 08:54:57.110732 : Epoch  4, Batch   2469, Loss  0.858398, Average Loss  0.867723, Time  0.170593
2021-09-11 08:54:58.718789 : Epoch  4, Batch   2470, Loss  0.875084, Average Loss  0.867676, Time  0.169774
2021-09-11 08:55:00.321786 : Epoch  4, Batch   2471, Loss  0.882161, Average Loss  0.867748, Time  0.169499
2021-09-11 08:55:01.921815 : Epoch  4, Batch   2472, Loss  0.894359, Average Loss  0.867769, Time  0.169809
2021-09-11 08:55:03.520761 : Epoch  4, Batch   2473, Loss  0.850256, Average Loss  0.867700, Time  0.169517
2021-09-11 08:55:05.137743 : Epoch  4, Batch   2474, Loss  0.872984, Average Loss  0.867708, Time  0.169674
2021-09-11 08:55:06.766993 : Epoch  4, Batch   2475, Loss  0.866523, Average Loss  0.867568, Time  0.169658
2021-09-11 08:55:08.388011 : Epoch  4, Batch   2476, Loss  0.897092, Average Loss  0.867748, Time  0.169614
2021-09-11 08:55:09.995752 : Epoch  4, Batch   2477, Loss  0.873804, Average Loss  0.867728, Time  0.169778
2021-09-11 08:55:11.608863 : Epoch  4, Batch   2478, Loss  0.858394, Average Loss  0.867549, Time  0.169802
2021-09-11 08:55:13.214829 : Epoch  4, Batch   2479, Loss  0.866596, Average Loss  0.867577, Time  0.169366
2021-09-11 08:55:14.819809 : Epoch  4, Batch   2480, Loss  0.890195, Average Loss  0.867822, Time  0.169580
2021-09-11 08:55:16.414824 : Epoch  4, Batch   2481, Loss  0.869885, Average Loss  0.867977, Time  0.169943
2021-09-11 08:55:18.051772 : Epoch  4, Batch   2482, Loss  0.875651, Average Loss  0.867955, Time  0.169689
2021-09-11 08:55:19.669002 : Epoch  4, Batch   2483, Loss  0.887458, Average Loss  0.867936, Time  0.169862
2021-09-11 08:55:21.279005 : Epoch  4, Batch   2484, Loss  0.856032, Average Loss  0.867898, Time  0.169765
2021-09-11 08:55:22.880746 : Epoch  4, Batch   2485, Loss  0.868400, Average Loss  0.867820, Time  0.169634
2021-09-11 08:55:24.484805 : Epoch  4, Batch   2486, Loss  0.832322, Average Loss  0.867461, Time  0.169864
2021-09-11 08:55:26.096813 : Epoch  4, Batch   2487, Loss  0.883026, Average Loss  0.867454, Time  0.169924
2021-09-11 08:55:27.694745 : Epoch  4, Batch   2488, Loss  0.864895, Average Loss  0.867356, Time  0.169625
2021-09-11 08:55:29.302032 : Epoch  4, Batch   2489, Loss  0.866763, Average Loss  0.867375, Time  0.170136
2021-09-11 08:55:30.910870 : Epoch  4, Batch   2490, Loss  0.845157, Average Loss  0.867186, Time  0.169797
2021-09-11 08:55:32.512000 : Epoch  4, Batch   2491, Loss  0.891156, Average Loss  0.867389, Time  0.169411
2021-09-11 08:55:34.105780 : Epoch  4, Batch   2492, Loss  0.875532, Average Loss  0.867456, Time  0.169807
2021-09-11 08:55:35.711991 : Epoch  4, Batch   2493, Loss  0.850125, Average Loss  0.867162, Time  0.169416
2021-09-11 08:55:37.308001 : Epoch  4, Batch   2494, Loss  0.874838, Average Loss  0.867075, Time  0.169766
2021-09-11 08:55:38.915734 : Epoch  4, Batch   2495, Loss  0.873165, Average Loss  0.867256, Time  0.170015
2021-09-11 08:55:40.521977 : Epoch  4, Batch   2496, Loss  0.863306, Average Loss  0.867138, Time  0.169323
2021-09-11 08:55:42.123783 : Epoch  4, Batch   2497, Loss  0.866600, Average Loss  0.867183, Time  0.169842
2021-09-11 08:55:43.757862 : Epoch  4, Batch   2498, Loss  0.845081, Average Loss  0.867196, Time  0.171737
2021-09-11 08:55:45.345786 : Epoch  4, Batch   2499, Loss  0.883543, Average Loss  0.867311, Time  0.171911
2021-09-11 08:55:46.935072 : Epoch  4, Batch   2500, Loss  0.903664, Average Loss  0.867479, Time  0.172072
2021-09-11 08:55:48.511732 : Epoch  4, Batch   2501, Loss  0.899695, Average Loss  0.867784, Time  0.170332
2021-09-11 08:55:50.084985 : Epoch  4, Batch   2502, Loss  0.866169, Average Loss  0.867777, Time  0.169339
2021-09-11 08:55:51.682774 : Epoch  4, Batch   2503, Loss  0.865727, Average Loss  0.867791, Time  0.169858
2021-09-11 08:55:53.288754 : Epoch  4, Batch   2504, Loss  0.862382, Average Loss  0.867737, Time  0.169379
2021-09-11 08:55:54.883788 : Epoch  4, Batch   2505, Loss  0.842535, Average Loss  0.867705, Time  0.169731
2021-09-11 08:55:56.464751 : Epoch  4, Batch   2506, Loss  0.878801, Average Loss  0.867782, Time  0.172295
2021-09-11 08:55:58.057987 : Epoch  4, Batch   2507, Loss  0.879598, Average Loss  0.867911, Time  0.172279
2021-09-11 08:55:59.665804 : Epoch  4, Batch   2508, Loss  0.858863, Average Loss  0.867837, Time  0.170020
2021-09-11 08:56:01.269770 : Epoch  4, Batch   2509, Loss  0.883144, Average Loss  0.867798, Time  0.169965
2021-09-11 08:56:02.857761 : Epoch  4, Batch   2510, Loss  0.861852, Average Loss  0.867558, Time  0.175854
2021-09-11 08:56:04.447162 : Epoch  4, Batch   2511, Loss  0.885412, Average Loss  0.867626, Time  0.170757
2021-09-11 08:56:06.050826 : Epoch  4, Batch   2512, Loss  0.862914, Average Loss  0.867561, Time  0.170638
2021-09-11 08:56:07.673000 : Epoch  4, Batch   2513, Loss  0.862756, Average Loss  0.867462, Time  0.169691
2021-09-11 08:56:09.276808 : Epoch  4, Batch   2514, Loss  0.857282, Average Loss  0.867503, Time  0.169921
2021-09-11 08:56:10.893007 : Epoch  4, Batch   2515, Loss  0.864172, Average Loss  0.867474, Time  0.169926
2021-09-11 08:56:12.490871 : Epoch  4, Batch   2516, Loss  0.865067, Average Loss  0.867585, Time  0.170045
2021-09-11 08:56:14.100012 : Epoch  4, Batch   2517, Loss  0.873050, Average Loss  0.867690, Time  0.170143
2021-09-11 08:56:15.690796 : Epoch  4, Batch   2518, Loss  0.832412, Average Loss  0.867564, Time  0.169683
2021-09-11 08:56:17.277749 : Epoch  4, Batch   2519, Loss  0.873293, Average Loss  0.867658, Time  0.169701
2021-09-11 08:56:18.881747 : Epoch  4, Batch   2520, Loss  0.895499, Average Loss  0.867735, Time  0.169715
2021-09-11 08:56:20.473800 : Epoch  4, Batch   2521, Loss  0.848795, Average Loss  0.867722, Time  0.169874
2021-09-11 08:56:22.069746 : Epoch  4, Batch   2522, Loss  0.867828, Average Loss  0.867614, Time  0.169703
2021-09-11 08:56:23.653009 : Epoch  4, Batch   2523, Loss  0.857671, Average Loss  0.867571, Time  0.169851
2021-09-11 08:56:25.277769 : Epoch  4, Batch   2524, Loss  0.857105, Average Loss  0.867551, Time  0.169992
2021-09-11 08:56:26.907990 : Epoch  4, Batch   2525, Loss  0.857604, Average Loss  0.867435, Time  0.169428
2021-09-11 08:56:28.508995 : Epoch  4, Batch   2526, Loss  0.870125, Average Loss  0.867493, Time  0.169783
2021-09-11 08:56:30.107998 : Epoch  4, Batch   2527, Loss  0.889957, Average Loss  0.867689, Time  0.170014
2021-09-11 08:56:31.720851 : Epoch  4, Batch   2528, Loss  0.852806, Average Loss  0.867719, Time  0.170086
2021-09-11 08:56:33.348013 : Epoch  4, Batch   2529, Loss  0.866528, Average Loss  0.867803, Time  0.170031
2021-09-11 08:56:34.950806 : Epoch  4, Batch   2530, Loss  0.913711, Average Loss  0.868038, Time  0.169873
2021-09-11 08:56:36.565747 : Epoch  4, Batch   2531, Loss  0.870279, Average Loss  0.868160, Time  0.169701
2021-09-11 08:56:38.165808 : Epoch  4, Batch   2532, Loss  0.877249, Average Loss  0.868194, Time  0.169989
2021-09-11 08:56:39.766764 : Epoch  4, Batch   2533, Loss  0.880904, Average Loss  0.868287, Time  0.169612
2021-09-11 08:56:41.367853 : Epoch  4, Batch   2534, Loss  0.864281, Average Loss  0.868285, Time  0.169382
2021-09-11 08:56:42.979767 : Epoch  4, Batch   2535, Loss  0.863428, Average Loss  0.868314, Time  0.169930
2021-09-11 08:56:44.586795 : Epoch  4, Batch   2536, Loss  0.875712, Average Loss  0.868287, Time  0.169475
2021-09-11 08:56:46.209797 : Epoch  4, Batch   2537, Loss  0.871210, Average Loss  0.868186, Time  0.169887
2021-09-11 08:56:47.818793 : Epoch  4, Batch   2538, Loss  0.826241, Average Loss  0.868054, Time  0.169746
2021-09-11 08:56:49.432782 : Epoch  4, Batch   2539, Loss  0.883596, Average Loss  0.868204, Time  0.169687
2021-09-11 08:56:51.045751 : Epoch  4, Batch   2540, Loss  0.872220, Average Loss  0.868187, Time  0.169793
2021-09-11 08:56:52.645988 : Epoch  4, Batch   2541, Loss  0.902798, Average Loss  0.868426, Time  0.169824
2021-09-11 08:56:54.253722 : Epoch  4, Batch   2542, Loss  0.878088, Average Loss  0.868453, Time  0.172132
2021-09-11 08:56:55.884035 : Epoch  4, Batch   2543, Loss  0.883243, Average Loss  0.868686, Time  0.171771
2021-09-11 08:56:57.476798 : Epoch  4, Batch   2544, Loss  0.883650, Average Loss  0.868682, Time  0.169519
2021-09-11 08:56:59.124743 : Epoch  4, Batch   2545, Loss  0.858957, Average Loss  0.868635, Time  0.171410
2021-09-11 08:57:00.730766 : Epoch  4, Batch   2546, Loss  0.859001, Average Loss  0.868520, Time  0.169811
2021-09-11 08:57:02.346939 : Epoch  4, Batch   2547, Loss  0.870285, Average Loss  0.868565, Time  0.172034
2021-09-11 08:57:03.950844 : Epoch  4, Batch   2548, Loss  0.863772, Average Loss  0.868416, Time  0.169914
2021-09-11 08:57:05.567848 : Epoch  4, Batch   2549, Loss  0.857159, Average Loss  0.868456, Time  0.169682
2021-09-11 08:57:07.169750 : Epoch  4, Batch   2550, Loss  0.867630, Average Loss  0.868521, Time  0.169677
2021-09-11 08:57:08.780989 : Epoch  4, Batch   2551, Loss  0.863515, Average Loss  0.868526, Time  0.169684
2021-09-11 08:57:10.387752 : Epoch  4, Batch   2552, Loss  0.887709, Average Loss  0.868531, Time  0.169545
2021-09-11 08:57:11.990992 : Epoch  4, Batch   2553, Loss  0.851311, Average Loss  0.868483, Time  0.172007
2021-09-11 08:57:13.617999 : Epoch  4, Batch   2554, Loss  0.862777, Average Loss  0.868397, Time  0.169556
2021-09-11 08:57:15.202879 : Epoch  4, Batch   2555, Loss  0.871414, Average Loss  0.868515, Time  0.171635
2021-09-11 08:57:16.831775 : Epoch  4, Batch   2556, Loss  0.894142, Average Loss  0.868526, Time  0.172609
2021-09-11 08:57:18.445735 : Epoch  4, Batch   2557, Loss  0.855708, Average Loss  0.868415, Time  0.170217
2021-09-11 08:57:20.074743 : Epoch  4, Batch   2558, Loss  0.867593, Average Loss  0.868416, Time  0.178481
2021-09-11 08:57:21.700027 : Epoch  4, Batch   2559, Loss  0.918749, Average Loss  0.868654, Time  0.170358
2021-09-11 08:57:23.318746 : Epoch  4, Batch   2560, Loss  0.894206, Average Loss  0.868814, Time  0.182954
2021-09-11 08:57:24.930851 : Epoch  4, Batch   2561, Loss  0.879839, Average Loss  0.869057, Time  0.171461
2021-09-11 08:57:26.578725 : Epoch  4, Batch   2562, Loss  0.856196, Average Loss  0.869058, Time  0.180610
2021-09-11 08:57:28.200758 : Epoch  4, Batch   2563, Loss  0.847837, Average Loss  0.868965, Time  0.172675
2021-09-11 08:57:29.822833 : Epoch  4, Batch   2564, Loss  0.850881, Average Loss  0.868792, Time  0.178957
2021-09-11 08:57:31.447857 : Epoch  4, Batch   2565, Loss  0.853217, Average Loss  0.868573, Time  0.171516
2021-09-11 08:57:33.052036 : Epoch  4, Batch   2566, Loss  0.860427, Average Loss  0.868523, Time  0.170043
2021-09-11 08:57:34.673754 : Epoch  4, Batch   2567, Loss  0.853702, Average Loss  0.868611, Time  0.173422
2021-09-11 08:58:23.016377 : CheckPoint: Validation Loss  0.00031214, Best Loss  0.00029019
2021-09-11 08:58:25.598361 : Epoch  3, Batch   1489, Loss  0.856487, Average Loss  0.868939, Time  0.238271
2021-09-11 08:58:28.185103 : Epoch  3, Batch   1490, Loss  0.876877, Average Loss  0.869030, Time  0.238085
2021-09-11 08:58:30.765823 : Epoch  3, Batch   1491, Loss  0.870482, Average Loss  0.869054, Time  0.237535
2021-09-11 08:58:33.340287 : Epoch  3, Batch   1492, Loss  0.885980, Average Loss  0.869187, Time  0.237080
2021-09-11 08:58:35.920005 : Epoch  3, Batch   1493, Loss  0.855303, Average Loss  0.869189, Time  0.238893
2021-09-11 08:58:38.494405 : Epoch  3, Batch   1494, Loss  0.876840, Average Loss  0.869151, Time  0.236957
2021-09-11 08:58:41.072379 : Epoch  3, Batch   1495, Loss  0.853604, Average Loss  0.869115, Time  0.239160
2021-09-11 08:58:43.659347 : Epoch  3, Batch   1496, Loss  0.863290, Average Loss  0.869125, Time  0.237326
2021-09-11 08:58:46.241921 : Epoch  3, Batch   1497, Loss  0.885620, Average Loss  0.869150, Time  0.238633
2021-09-11 08:58:48.831891 : Epoch  3, Batch   1498, Loss  0.852614, Average Loss  0.869238, Time  0.237824
2021-09-11 08:58:51.440963 : Epoch  3, Batch   1499, Loss  0.874802, Average Loss  0.869261, Time  0.237602
2021-09-11 08:58:54.019310 : Epoch  3, Batch   1500, Loss  0.869713, Average Loss  0.869414, Time  0.238168
2021-09-11 08:58:56.597885 : Epoch  3, Batch   1501, Loss  0.877257, Average Loss  0.869390, Time  0.238150
2021-09-11 08:58:59.185397 : Epoch  3, Batch   1502, Loss  0.869703, Average Loss  0.869329, Time  0.237683
2021-09-11 08:59:01.783961 : Epoch  3, Batch   1503, Loss  0.870921, Average Loss  0.869281, Time  0.241650
2021-09-11 08:59:04.411790 : Epoch  3, Batch   1504, Loss  0.873526, Average Loss  0.869328, Time  0.242123
2021-09-11 08:59:07.019428 : Epoch  3, Batch   1505, Loss  0.890694, Average Loss  0.869490, Time  0.242015
2021-09-11 08:59:09.612398 : Epoch  3, Batch   1506, Loss  0.861822, Average Loss  0.869485, Time  0.240755
2021-09-11 08:59:12.203995 : Epoch  3, Batch   1507, Loss  0.858876, Average Loss  0.869428, Time  0.240879
2021-09-11 08:59:14.789823 : Epoch  3, Batch   1508, Loss  0.844204, Average Loss  0.869309, Time  0.238732
2021-09-11 08:59:17.404160 : Epoch  3, Batch   1509, Loss  0.916178, Average Loss  0.869483, Time  0.238936
2021-09-11 08:59:19.987045 : Epoch  3, Batch   1510, Loss  0.880242, Average Loss  0.869529, Time  0.241666
2021-09-11 08:59:22.567955 : Epoch  3, Batch   1511, Loss  0.878469, Average Loss  0.869448, Time  0.238443
2021-09-11 08:59:25.161787 : Epoch  3, Batch   1512, Loss  0.861491, Average Loss  0.869480, Time  0.238363
2021-09-11 08:59:27.745398 : Epoch  3, Batch   1513, Loss  0.871046, Average Loss  0.869466, Time  0.237178
2021-09-11 08:59:30.330401 : Epoch  3, Batch   1514, Loss  0.851570, Average Loss  0.869395, Time  0.237156
2021-09-11 08:59:32.930884 : Epoch  3, Batch   1515, Loss  0.868551, Average Loss  0.869361, Time  0.237772
2021-09-11 08:59:35.515815 : Epoch  3, Batch   1516, Loss  0.867436, Average Loss  0.869310, Time  0.237496
2021-09-11 08:59:38.102910 : Epoch  3, Batch   1517, Loss  0.867743, Average Loss  0.869276, Time  0.238690
2021-09-11 08:59:40.696959 : Epoch  3, Batch   1518, Loss  0.876226, Average Loss  0.869378, Time  0.240940
2021-09-11 08:59:43.279894 : Epoch  3, Batch   1519, Loss  0.864208, Average Loss  0.869273, Time  0.237474
2021-09-11 08:59:45.870229 : Epoch  3, Batch   1520, Loss  0.865499, Average Loss  0.869126, Time  0.237590
2021-09-11 08:59:48.455831 : Epoch  3, Batch   1521, Loss  0.872836, Average Loss  0.869050, Time  0.238449
2021-09-11 08:59:51.034400 : Epoch  3, Batch   1522, Loss  0.859693, Average Loss  0.868984, Time  0.237293
2021-09-11 08:59:53.607906 : Epoch  3, Batch   1523, Loss  0.854388, Average Loss  0.868911, Time  0.237430
2021-09-11 08:59:56.189379 : Epoch  3, Batch   1524, Loss  0.855600, Average Loss  0.868819, Time  0.237072
2021-09-11 08:59:58.777364 : Epoch  3, Batch   1525, Loss  0.878488, Average Loss  0.868868, Time  0.237060
2021-09-11 09:00:01.358379 : Epoch  3, Batch   1526, Loss  0.882337, Average Loss  0.868956, Time  0.237963
2021-09-11 09:00:03.953054 : Epoch  3, Batch   1527, Loss  0.868419, Average Loss  0.868988, Time  0.239414
2021-09-11 09:00:06.530413 : Epoch  3, Batch   1528, Loss  0.868239, Average Loss  0.869079, Time  0.237859
2021-09-11 09:00:09.105359 : Epoch  3, Batch   1529, Loss  0.859178, Average Loss  0.869027, Time  0.238232
2021-09-11 09:00:11.693812 : Epoch  3, Batch   1530, Loss  0.858891, Average Loss  0.869000, Time  0.238854
2021-09-11 09:00:14.296952 : Epoch  3, Batch   1531, Loss  0.870623, Average Loss  0.868994, Time  0.238262
2021-09-11 09:00:16.895973 : Epoch  3, Batch   1532, Loss  0.854668, Average Loss  0.868937, Time  0.238831
2021-09-11 09:00:19.492618 : Epoch  3, Batch   1533, Loss  0.867112, Average Loss  0.869060, Time  0.240869
2021-09-11 09:00:22.070825 : Epoch  3, Batch   1534, Loss  0.884016, Average Loss  0.869302, Time  0.237791
2021-09-11 09:00:24.648122 : Epoch  3, Batch   1535, Loss  0.894066, Average Loss  0.869372, Time  0.237999
2021-09-11 09:00:27.242384 : Epoch  3, Batch   1536, Loss  0.873976, Average Loss  0.869379, Time  0.238187
2021-09-11 09:00:29.820039 : Epoch  3, Batch   1537, Loss  0.863355, Average Loss  0.869403, Time  0.237586
2021-09-11 09:00:32.409426 : Epoch  3, Batch   1538, Loss  0.857016, Average Loss  0.869461, Time  0.238088
2021-09-11 09:00:34.997234 : Epoch  3, Batch   1539, Loss  0.869146, Average Loss  0.869436, Time  0.237827
2021-09-11 09:00:37.572663 : Epoch  3, Batch   1540, Loss  0.834578, Average Loss  0.869320, Time  0.238070
2021-09-11 09:00:40.156934 : Epoch  3, Batch   1541, Loss  0.860487, Average Loss  0.869268, Time  0.237437
2021-09-11 09:00:42.736391 : Epoch  3, Batch   1542, Loss  0.853008, Average Loss  0.869268, Time  0.237359
2021-09-11 09:00:45.309418 : Epoch  3, Batch   1543, Loss  0.886872, Average Loss  0.869248, Time  0.237116
2021-09-11 09:00:47.892934 : Epoch  3, Batch   1544, Loss  0.862936, Average Loss  0.869294, Time  0.237278
2021-09-11 09:00:50.478655 : Epoch  3, Batch   1545, Loss  0.870256, Average Loss  0.869231, Time  0.237139
2021-09-11 09:00:53.056585 : Epoch  3, Batch   1546, Loss  0.890884, Average Loss  0.869322, Time  0.237508
2021-09-11 09:00:55.643415 : Epoch  3, Batch   1547, Loss  0.874495, Average Loss  0.869353, Time  0.237408
2021-09-11 09:00:58.230401 : Epoch  3, Batch   1548, Loss  0.881357, Average Loss  0.869420, Time  0.237341
2021-09-11 09:01:00.805426 : Epoch  3, Batch   1549, Loss  0.875119, Average Loss  0.869426, Time  0.237155
2021-09-11 09:01:03.386190 : Epoch  3, Batch   1550, Loss  0.856479, Average Loss  0.869418, Time  0.237819
2021-09-11 09:01:05.957282 : Epoch  3, Batch   1551, Loss  0.870377, Average Loss  0.869341, Time  0.237476
2021-09-11 09:01:08.546230 : Epoch  3, Batch   1552, Loss  0.889985, Average Loss  0.869537, Time  0.238871
2021-09-11 09:01:11.127616 : Epoch  3, Batch   1553, Loss  0.892446, Average Loss  0.869588, Time  0.237235
2021-09-11 09:01:13.718398 : Epoch  3, Batch   1554, Loss  0.868791, Average Loss  0.869631, Time  0.237010
2021-09-11 09:01:16.315675 : Epoch  3, Batch   1555, Loss  0.900217, Average Loss  0.869786, Time  0.238224
2021-09-11 09:01:18.911415 : Epoch  3, Batch   1556, Loss  0.875831, Average Loss  0.869780, Time  0.237767
2021-09-11 09:01:21.491099 : Epoch  3, Batch   1557, Loss  0.877023, Average Loss  0.869734, Time  0.238168
2021-09-11 09:01:24.070375 : Epoch  3, Batch   1558, Loss  0.862885, Average Loss  0.869574, Time  0.239491
2021-09-11 09:01:26.649346 : Epoch  3, Batch   1559, Loss  0.877122, Average Loss  0.869725, Time  0.237244
2021-09-11 09:01:29.235369 : Epoch  3, Batch   1560, Loss  0.853106, Average Loss  0.869627, Time  0.237856
2021-09-11 09:01:31.829202 : Epoch  3, Batch   1561, Loss  0.871911, Average Loss  0.869689, Time  0.237575
2021-09-11 09:01:34.406009 : Epoch  3, Batch   1562, Loss  0.866623, Average Loss  0.869715, Time  0.237374
2021-09-11 09:01:36.985345 : Epoch  3, Batch   1563, Loss  0.880481, Average Loss  0.869842, Time  0.237021
2021-09-11 09:01:39.573394 : Epoch  3, Batch   1564, Loss  0.871643, Average Loss  0.869926, Time  0.239456
2021-09-11 09:01:42.186031 : Epoch  3, Batch   1565, Loss  0.905717, Average Loss  0.870215, Time  0.237820
2021-09-11 09:01:44.774348 : Epoch  3, Batch   1566, Loss  0.870078, Average Loss  0.870098, Time  0.237300
2021-09-11 09:01:47.357919 : Epoch  3, Batch   1567, Loss  0.857805, Average Loss  0.870013, Time  0.237620
2021-09-11 09:01:49.949068 : Epoch  3, Batch   1568, Loss  0.869258, Average Loss  0.869997, Time  0.237605
2021-09-11 09:01:52.534888 : Epoch  3, Batch   1569, Loss  0.872467, Average Loss  0.870006, Time  0.237437
2021-09-11 09:01:55.109384 : Epoch  3, Batch   1570, Loss  0.878263, Average Loss  0.870020, Time  0.237199
2021-09-11 09:01:57.695259 : Epoch  3, Batch   1571, Loss  0.861410, Average Loss  0.869981, Time  0.239652
2021-09-11 09:02:00.267929 : Epoch  3, Batch   1572, Loss  0.872901, Average Loss  0.869943, Time  0.237931
2021-09-11 09:02:02.853847 : Epoch  3, Batch   1573, Loss  0.859303, Average Loss  0.870006, Time  0.237879
2021-09-11 09:02:05.434874 : Epoch  3, Batch   1574, Loss  0.858141, Average Loss  0.869977, Time  0.237736
2021-09-11 09:02:08.016943 : Epoch  3, Batch   1575, Loss  0.842304, Average Loss  0.869790, Time  0.237327
2021-09-11 09:02:10.604856 : Epoch  3, Batch   1576, Loss  0.836819, Average Loss  0.869602, Time  0.237691
2021-09-11 09:02:13.190894 : Epoch  3, Batch   1577, Loss  0.881214, Average Loss  0.869701, Time  0.237520
2021-09-11 09:02:15.070725 : CheckPoint: Validation Loss  0.00058614, Best Loss  0.00057296
2021-09-11 09:02:15.772055 : Epoch  3, Batch   1578, Loss  0.897059, Average Loss  0.869748, Time  0.237886
2021-09-11 09:02:16.669917 : Epoch  4, Batch   2568, Loss  0.890388, Average Loss  0.868653, Time  0.182386
2021-09-11 09:02:18.279751 : Epoch  4, Batch   2569, Loss  0.839929, Average Loss  0.868615, Time  0.172261
2021-09-11 09:02:18.360402 : Epoch  3, Batch   1579, Loss  0.861335, Average Loss  0.869742, Time  0.238360
2021-09-11 09:02:19.898807 : Epoch  4, Batch   2570, Loss  0.865777, Average Loss  0.868446, Time  0.170282
2021-09-11 09:02:20.947413 : Epoch  3, Batch   1580, Loss  0.866001, Average Loss  0.869730, Time  0.239002
2021-09-11 09:02:21.508029 : Epoch  4, Batch   2571, Loss  0.868867, Average Loss  0.868380, Time  0.176278
2021-09-11 09:02:23.129736 : Epoch  4, Batch   2572, Loss  0.863211, Average Loss  0.868319, Time  0.177548
2021-09-11 09:02:23.976856 : Epoch  3, Batch   1581, Loss  0.879689, Average Loss  0.869841, Time  0.276600
2021-09-11 09:02:24.764035 : Epoch  4, Batch   2573, Loss  0.864687, Average Loss  0.868306, Time  0.177371
2021-09-11 09:02:26.369860 : Epoch  4, Batch   2574, Loss  0.840759, Average Loss  0.868440, Time  0.170645
2021-09-11 09:02:26.572063 : Epoch  3, Batch   1582, Loss  0.891569, Average Loss  0.870034, Time  0.253178
2021-09-11 09:02:27.989900 : Epoch  4, Batch   2575, Loss  0.879552, Average Loss  0.868559, Time  0.186611
2021-09-11 09:02:29.138895 : Epoch  3, Batch   1583, Loss  0.882552, Average Loss  0.870175, Time  0.237412
2021-09-11 09:02:29.594063 : Epoch  4, Batch   2576, Loss  0.912238, Average Loss  0.868801, Time  0.170393
2021-09-11 09:02:31.195021 : Epoch  4, Batch   2577, Loss  0.874540, Average Loss  0.868820, Time  0.170688
2021-09-11 09:02:31.724396 : Epoch  3, Batch   1584, Loss  0.855563, Average Loss  0.870147, Time  0.237539
2021-09-11 09:02:32.811025 : Epoch  4, Batch   2578, Loss  0.902114, Average Loss  0.868973, Time  0.182052
2021-09-11 09:02:34.308929 : Epoch  3, Batch   1585, Loss  0.890194, Average Loss  0.870204, Time  0.239144
2021-09-11 09:02:34.433041 : Epoch  4, Batch   2579, Loss  0.864566, Average Loss  0.868875, Time  0.173242
2021-09-11 09:02:36.050038 : Epoch  4, Batch   2580, Loss  0.861245, Average Loss  0.868640, Time  0.170071
2021-09-11 09:02:36.895878 : Epoch  3, Batch   1586, Loss  0.892474, Average Loss  0.870330, Time  0.237452
2021-09-11 09:02:37.649799 : Epoch  4, Batch   2581, Loss  0.878541, Average Loss  0.868687, Time  0.170006
2021-09-11 09:02:39.265033 : Epoch  4, Batch   2582, Loss  0.893730, Average Loss  0.868733, Time  0.173178
2021-09-11 09:02:39.471136 : Epoch  3, Batch   1587, Loss  0.869345, Average Loss  0.870433, Time  0.237567
2021-09-11 09:02:40.844030 : Epoch  4, Batch   2583, Loss  0.876418, Average Loss  0.868692, Time  0.170092
2021-09-11 09:02:42.058843 : Epoch  3, Batch   1588, Loss  0.875418, Average Loss  0.870501, Time  0.237550
2021-09-11 09:02:42.458753 : Epoch  4, Batch   2584, Loss  0.860118, Average Loss  0.868753, Time  0.170076
2021-09-11 09:02:44.072038 : Epoch  4, Batch   2585, Loss  0.850265, Average Loss  0.868551, Time  0.170969
2021-09-11 09:02:45.683765 : Epoch  4, Batch   2586, Loss  0.901665, Average Loss  0.868696, Time  0.173607
2021-09-11 09:02:47.295845 : Epoch  4, Batch   2587, Loss  0.880689, Average Loss  0.868810, Time  0.183555
2021-09-11 09:02:48.924768 : Epoch  4, Batch   2588, Loss  0.859800, Average Loss  0.868814, Time  0.191352
2021-09-11 09:02:50.547035 : Epoch  4, Batch   2589, Loss  0.864764, Average Loss  0.868726, Time  0.174104
2021-09-11 09:02:52.137843 : Epoch  4, Batch   2590, Loss  0.870277, Average Loss  0.868733, Time  0.170062
2021-09-11 09:02:53.767032 : Epoch  4, Batch   2591, Loss  0.848893, Average Loss  0.868709, Time  0.170642
2021-09-11 09:02:55.354776 : Epoch  4, Batch   2592, Loss  0.910432, Average Loss  0.868887, Time  0.173432
2021-09-11 09:02:56.968807 : Epoch  4, Batch   2593, Loss  0.884632, Average Loss  0.869039, Time  0.176962
2021-09-11 09:02:58.550092 : Epoch  4, Batch   2594, Loss  0.853272, Average Loss  0.868832, Time  0.173366
2021-09-11 09:03:00.155035 : Epoch  4, Batch   2595, Loss  0.864685, Average Loss  0.868826, Time  0.175637
2021-09-11 09:03:01.740029 : Epoch  4, Batch   2596, Loss  0.881233, Average Loss  0.868848, Time  0.169708
2021-09-11 09:03:03.350786 : Epoch  4, Batch   2597, Loss  0.867344, Average Loss  0.868688, Time  0.179179
2021-09-11 09:03:04.957031 : Epoch  4, Batch   2598, Loss  0.845335, Average Loss  0.868485, Time  0.171946
2021-09-11 09:03:06.575032 : Epoch  4, Batch   2599, Loss  0.843301, Average Loss  0.868496, Time  0.180823
2021-09-11 09:03:08.205031 : Epoch  4, Batch   2600, Loss  0.871599, Average Loss  0.868630, Time  0.177815
2021-09-11 09:03:09.823052 : Epoch  4, Batch   2601, Loss  0.860787, Average Loss  0.868695, Time  0.198069
2021-09-11 09:03:11.404042 : Epoch  4, Batch   2602, Loss  0.851966, Average Loss  0.868586, Time  0.174912
2021-09-11 09:03:13.006742 : Epoch  4, Batch   2603, Loss  0.886327, Average Loss  0.868739, Time  0.180891
2021-09-11 09:03:14.627845 : Epoch  4, Batch   2604, Loss  0.854064, Average Loss  0.868812, Time  0.169847
2021-09-11 09:03:16.249204 : Epoch  4, Batch   2605, Loss  0.927531, Average Loss  0.869080, Time  0.169706
2021-09-11 09:03:17.846859 : Epoch  4, Batch   2606, Loss  0.856620, Average Loss  0.869040, Time  0.170347
2021-09-11 09:03:19.454808 : Epoch  4, Batch   2607, Loss  0.852109, Average Loss  0.869116, Time  0.177235
2021-09-11 09:03:21.052025 : Epoch  4, Batch   2608, Loss  0.864999, Average Loss  0.869081, Time  0.170378
2021-09-11 09:03:22.652844 : Epoch  4, Batch   2609, Loss  0.862714, Average Loss  0.869130, Time  0.171495
2021-09-11 09:03:24.254802 : Epoch  4, Batch   2610, Loss  0.866749, Average Loss  0.869049, Time  0.175744
2021-09-11 09:03:25.861026 : Epoch  4, Batch   2611, Loss  0.892899, Average Loss  0.869038, Time  0.170052
2021-09-11 09:03:27.487027 : Epoch  4, Batch   2612, Loss  0.877807, Average Loss  0.869075, Time  0.176469
2021-09-11 09:03:29.108912 : Epoch  4, Batch   2613, Loss  0.848049, Average Loss  0.869080, Time  0.177675
2021-09-11 09:03:30.710823 : Epoch  4, Batch   2614, Loss  0.876634, Average Loss  0.869133, Time  0.171729
2021-09-11 09:03:32.311019 : Epoch  4, Batch   2615, Loss  0.875408, Average Loss  0.869133, Time  0.175593
2021-09-11 09:03:33.891778 : Epoch  4, Batch   2616, Loss  0.864246, Average Loss  0.869258, Time  0.172588
2021-09-11 09:03:35.483853 : Epoch  4, Batch   2617, Loss  0.851294, Average Loss  0.869166, Time  0.169925
2021-09-11 09:03:37.111035 : Epoch  4, Batch   2618, Loss  0.890812, Average Loss  0.869437, Time  0.179064
2021-09-11 09:03:38.717836 : Epoch  4, Batch   2619, Loss  0.882019, Average Loss  0.869708, Time  0.189750
2021-09-11 09:03:40.343935 : Epoch  4, Batch   2620, Loss  0.866563, Average Loss  0.869632, Time  0.176260
2021-09-11 09:03:41.952787 : Epoch  4, Batch   2621, Loss  0.865648, Average Loss  0.869591, Time  0.178062
2021-09-11 09:03:43.557827 : Epoch  4, Batch   2622, Loss  0.880415, Average Loss  0.869697, Time  0.169993
2021-09-11 09:03:45.151025 : Epoch  4, Batch   2623, Loss  0.879678, Average Loss  0.869702, Time  0.169798
2021-09-11 09:03:46.755808 : Epoch  4, Batch   2624, Loss  0.825702, Average Loss  0.869553, Time  0.177038
2021-09-11 09:03:48.336765 : Epoch  4, Batch   2625, Loss  0.875000, Average Loss  0.869630, Time  0.174705
2021-09-11 09:03:49.921830 : Epoch  4, Batch   2626, Loss  0.850661, Average Loss  0.869403, Time  0.170113
2021-09-11 09:03:51.518032 : Epoch  4, Batch   2627, Loss  0.856519, Average Loss  0.869242, Time  0.170536
2021-09-11 09:03:53.107815 : Epoch  4, Batch   2628, Loss  0.876645, Average Loss  0.869334, Time  0.169898
2021-09-11 09:03:54.716033 : Epoch  4, Batch   2629, Loss  0.852844, Average Loss  0.869236, Time  0.176019
2021-09-11 09:03:56.344768 : Epoch  4, Batch   2630, Loss  0.865090, Average Loss  0.869225, Time  0.173037
2021-09-11 09:03:57.944034 : Epoch  4, Batch   2631, Loss  0.864551, Average Loss  0.869349, Time  0.173178
2021-09-11 09:03:59.543739 : Epoch  4, Batch   2632, Loss  0.856967, Average Loss  0.869224, Time  0.170099
2021-09-11 09:04:01.158744 : Epoch  4, Batch   2633, Loss  0.886931, Average Loss  0.869202, Time  0.173030
2021-09-11 09:04:02.805038 : Epoch  4, Batch   2634, Loss  0.847211, Average Loss  0.869244, Time  0.183674
2021-09-11 09:04:04.406034 : Epoch  4, Batch   2635, Loss  0.872792, Average Loss  0.869229, Time  0.173822
2021-09-11 09:04:06.018927 : Epoch  4, Batch   2636, Loss  0.856321, Average Loss  0.869215, Time  0.169837
2021-09-11 09:04:07.618031 : Epoch  4, Batch   2637, Loss  0.882394, Average Loss  0.869352, Time  0.170187
2021-09-11 09:04:09.267030 : Epoch  4, Batch   2638, Loss  0.857091, Average Loss  0.869322, Time  0.181036
2021-09-11 09:04:10.886755 : Epoch  4, Batch   2639, Loss  0.901944, Average Loss  0.869575, Time  0.176936
2021-09-11 09:04:12.512820 : Epoch  4, Batch   2640, Loss  0.878794, Average Loss  0.869628, Time  0.173933
2021-09-11 09:04:14.113860 : Epoch  4, Batch   2641, Loss  0.882139, Average Loss  0.869663, Time  0.169874
2021-09-11 09:04:15.702799 : Epoch  4, Batch   2642, Loss  0.893886, Average Loss  0.869796, Time  0.175870
2021-09-11 09:04:17.323929 : Epoch  4, Batch   2643, Loss  0.830293, Average Loss  0.869711, Time  0.173173
2021-09-11 09:04:18.950866 : Epoch  4, Batch   2644, Loss  0.898307, Average Loss  0.869739, Time  0.172769
2021-09-11 09:04:20.549920 : Epoch  4, Batch   2645, Loss  0.871567, Average Loss  0.869782, Time  0.186437
2021-09-11 09:04:22.190809 : Epoch  4, Batch   2646, Loss  0.865943, Average Loss  0.869700, Time  0.170657
2021-09-11 09:04:23.830048 : Epoch  4, Batch   2647, Loss  0.870274, Average Loss  0.869660, Time  0.179455
2021-09-11 09:04:25.452031 : Epoch  4, Batch   2648, Loss  0.852208, Average Loss  0.869662, Time  0.175061
2021-09-11 09:04:27.079856 : Epoch  4, Batch   2649, Loss  0.852951, Average Loss  0.869494, Time  0.183902
2021-09-11 09:04:28.697948 : Epoch  4, Batch   2650, Loss  0.883340, Average Loss  0.869591, Time  0.179881
2021-09-11 09:04:30.296779 : Epoch  4, Batch   2651, Loss  0.865836, Average Loss  0.869504, Time  0.172535
2021-09-11 09:04:31.912862 : Epoch  4, Batch   2652, Loss  0.878203, Average Loss  0.869600, Time  0.177228
2021-09-11 09:04:33.524855 : Epoch  4, Batch   2653, Loss  0.856580, Average Loss  0.869737, Time  0.169888
2021-09-11 09:04:35.135807 : Epoch  4, Batch   2654, Loss  0.887957, Average Loss  0.869940, Time  0.169644
2021-09-11 09:04:36.736748 : Epoch  4, Batch   2655, Loss  0.877003, Average Loss  0.869834, Time  0.173385
2021-09-11 09:04:38.344040 : Epoch  4, Batch   2656, Loss  0.861081, Average Loss  0.869797, Time  0.176828
2021-09-11 09:04:39.949843 : Epoch  4, Batch   2657, Loss  0.864131, Average Loss  0.869684, Time  0.171785
2021-09-11 09:04:41.552031 : Epoch  4, Batch   2658, Loss  0.851272, Average Loss  0.869470, Time  0.172433
2021-09-11 09:04:43.140802 : Epoch  4, Batch   2659, Loss  0.825154, Average Loss  0.869355, Time  0.172017
2021-09-11 09:04:44.740769 : Epoch  4, Batch   2660, Loss  0.886322, Average Loss  0.869353, Time  0.172765
2021-09-11 09:04:46.348808 : Epoch  4, Batch   2661, Loss  0.884650, Average Loss  0.869493, Time  0.169932
2021-09-11 09:04:47.935809 : Epoch  4, Batch   2662, Loss  0.882525, Average Loss  0.869533, Time  0.169851
2021-09-11 09:04:49.537828 : Epoch  4, Batch   2663, Loss  0.885798, Average Loss  0.869803, Time  0.170014
2021-09-11 09:04:51.142755 : Epoch  4, Batch   2664, Loss  0.884036, Average Loss  0.869805, Time  0.176911
2021-09-11 09:04:52.744771 : Epoch  4, Batch   2665, Loss  0.893395, Average Loss  0.869979, Time  0.171081
2021-09-11 09:04:54.338864 : Epoch  4, Batch   2666, Loss  0.885206, Average Loss  0.870004, Time  0.177775
2021-09-11 09:04:55.933033 : Epoch  4, Batch   2667, Loss  0.833863, Average Loss  0.869585, Time  0.175154
2021-09-11 09:06:44.412832 : CheckPoint: Validation Loss  0.00029127, Best Loss  0.00029019
2021-09-11 09:06:46.991830 : Epoch  3, Batch   1589, Loss  0.839256, Average Loss  0.870307, Time  0.238260
2021-09-11 09:06:49.586342 : Epoch  3, Batch   1590, Loss  0.879911, Average Loss  0.870219, Time  0.237524
2021-09-11 09:06:52.182359 : Epoch  3, Batch   1591, Loss  0.874964, Average Loss  0.870278, Time  0.236910
2021-09-11 09:06:54.763372 : Epoch  3, Batch   1592, Loss  0.861892, Average Loss  0.870374, Time  0.237193
2021-09-11 09:06:57.346849 : Epoch  3, Batch   1593, Loss  0.880255, Average Loss  0.870465, Time  0.237499
2021-09-11 09:06:59.934048 : Epoch  3, Batch   1594, Loss  0.870012, Average Loss  0.870521, Time  0.239616
2021-09-11 09:07:02.519860 : Epoch  3, Batch   1595, Loss  0.873125, Average Loss  0.870603, Time  0.237152
2021-09-11 09:07:05.108355 : Epoch  3, Batch   1596, Loss  0.872460, Average Loss  0.870595, Time  0.237008
2021-09-11 09:07:07.722607 : Epoch  3, Batch   1597, Loss  0.893123, Average Loss  0.870625, Time  0.237319
2021-09-11 09:07:10.319897 : Epoch  3, Batch   1598, Loss  0.875550, Average Loss  0.870665, Time  0.239074
2021-09-11 09:07:12.922409 : Epoch  3, Batch   1599, Loss  0.881885, Average Loss  0.870827, Time  0.237126
2021-09-11 09:07:15.512291 : Epoch  3, Batch   1600, Loss  0.877829, Average Loss  0.870962, Time  0.238091
2021-09-11 09:07:18.095919 : Epoch  3, Batch   1601, Loss  0.877939, Average Loss  0.871017, Time  0.238643
2021-09-11 09:07:20.679426 : Epoch  3, Batch   1602, Loss  0.857238, Average Loss  0.871124, Time  0.237472
2021-09-11 09:07:23.266392 : Epoch  3, Batch   1603, Loss  0.868100, Average Loss  0.871111, Time  0.237332
2021-09-11 09:07:25.858389 : Epoch  3, Batch   1604, Loss  0.870635, Average Loss  0.871178, Time  0.238703
2021-09-11 09:07:28.447799 : Epoch  3, Batch   1605, Loss  0.877318, Average Loss  0.871218, Time  0.237234
2021-09-11 09:07:31.046671 : Epoch  3, Batch   1606, Loss  0.864501, Average Loss  0.871219, Time  0.239926
2021-09-11 09:07:33.634070 : Epoch  3, Batch   1607, Loss  0.859903, Average Loss  0.871126, Time  0.237980
2021-09-11 09:07:36.223984 : Epoch  3, Batch   1608, Loss  0.876578, Average Loss  0.871292, Time  0.237322
2021-09-11 09:07:38.807923 : Epoch  3, Batch   1609, Loss  0.859658, Average Loss  0.871368, Time  0.237678
2021-09-11 09:07:41.406988 : Epoch  3, Batch   1610, Loss  0.844361, Average Loss  0.871260, Time  0.238342
2021-09-11 09:07:43.988975 : Epoch  3, Batch   1611, Loss  0.884797, Average Loss  0.871329, Time  0.237474
2021-09-11 09:07:46.564279 : Epoch  3, Batch   1612, Loss  0.867763, Average Loss  0.871227, Time  0.237144
2021-09-11 09:07:49.139560 : Epoch  3, Batch   1613, Loss  0.860224, Average Loss  0.871247, Time  0.238470
2021-09-11 09:07:51.722366 : Epoch  3, Batch   1614, Loss  0.875912, Average Loss  0.871302, Time  0.238150
2021-09-11 09:07:54.308833 : Epoch  3, Batch   1615, Loss  0.897844, Average Loss  0.871488, Time  0.237213
2021-09-11 09:07:56.892827 : Epoch  3, Batch   1616, Loss  0.849121, Average Loss  0.871468, Time  0.237211
2021-09-11 09:07:59.471171 : Epoch  3, Batch   1617, Loss  0.894975, Average Loss  0.871657, Time  0.237813
2021-09-11 09:08:02.046907 : Epoch  3, Batch   1618, Loss  0.862148, Average Loss  0.871662, Time  0.237609
2021-09-11 09:08:04.627312 : Epoch  3, Batch   1619, Loss  0.867887, Average Loss  0.871534, Time  0.236922
2021-09-11 09:08:07.211844 : Epoch  3, Batch   1620, Loss  0.859660, Average Loss  0.871425, Time  0.237820
2021-09-11 09:08:09.802973 : Epoch  3, Batch   1621, Loss  0.878665, Average Loss  0.871533, Time  0.241030
2021-09-11 09:08:12.383922 : Epoch  3, Batch   1622, Loss  0.883609, Average Loss  0.871711, Time  0.239837
2021-09-11 09:08:14.964371 : Epoch  3, Batch   1623, Loss  0.860394, Average Loss  0.871693, Time  0.238050
2021-09-11 09:08:17.546350 : Epoch  3, Batch   1624, Loss  0.860936, Average Loss  0.871662, Time  0.238471
2021-09-11 09:08:20.129004 : Epoch  3, Batch   1625, Loss  0.887663, Average Loss  0.871837, Time  0.238176
2021-09-11 09:08:22.738333 : Epoch  3, Batch   1626, Loss  0.883100, Average Loss  0.871900, Time  0.240027
2021-09-11 09:08:25.313812 : Epoch  3, Batch   1627, Loss  0.854702, Average Loss  0.871728, Time  0.241015
2021-09-11 09:08:27.901392 : Epoch  3, Batch   1628, Loss  0.880018, Average Loss  0.871732, Time  0.237434
2021-09-11 09:08:30.484346 : Epoch  3, Batch   1629, Loss  0.860983, Average Loss  0.871607, Time  0.238544
2021-09-11 09:08:33.072887 : Epoch  3, Batch   1630, Loss  0.883798, Average Loss  0.871762, Time  0.237648
2021-09-11 09:08:35.648401 : Epoch  3, Batch   1631, Loss  0.871993, Average Loss  0.871768, Time  0.237189
2021-09-11 09:08:38.241440 : Epoch  3, Batch   1632, Loss  0.858884, Average Loss  0.871657, Time  0.237765
2021-09-11 09:08:40.830893 : Epoch  3, Batch   1633, Loss  0.877234, Average Loss  0.871674, Time  0.238255
2021-09-11 09:08:43.420213 : Epoch  3, Batch   1634, Loss  0.876069, Average Loss  0.871762, Time  0.238305
2021-09-11 09:08:46.005083 : Epoch  3, Batch   1635, Loss  0.857584, Average Loss  0.871697, Time  0.237794
2021-09-11 09:08:48.590945 : Epoch  3, Batch   1636, Loss  0.870758, Average Loss  0.871595, Time  0.241319
2021-09-11 09:08:51.178853 : Epoch  3, Batch   1637, Loss  0.868289, Average Loss  0.871522, Time  0.237244
2021-09-11 09:08:53.786138 : Epoch  3, Batch   1638, Loss  0.876236, Average Loss  0.871509, Time  0.237853
2021-09-11 09:08:56.372265 : Epoch  3, Batch   1639, Loss  0.890626, Average Loss  0.871672, Time  0.236822
2021-09-11 09:08:58.964835 : Epoch  3, Batch   1640, Loss  0.854389, Average Loss  0.871503, Time  0.237582
2021-09-11 09:09:01.545858 : Epoch  3, Batch   1641, Loss  0.869201, Average Loss  0.871504, Time  0.237751
2021-09-11 09:09:04.134937 : Epoch  3, Batch   1642, Loss  0.856622, Average Loss  0.871491, Time  0.238963
2021-09-11 09:09:06.716832 : Epoch  3, Batch   1643, Loss  0.863488, Average Loss  0.871479, Time  0.237442
2021-09-11 09:09:09.301029 : Epoch  3, Batch   1644, Loss  0.875698, Average Loss  0.871608, Time  0.238390
2021-09-11 09:09:11.889924 : Epoch  3, Batch   1645, Loss  0.854333, Average Loss  0.871442, Time  0.237766
2021-09-11 09:09:14.482040 : Epoch  3, Batch   1646, Loss  0.865460, Average Loss  0.871290, Time  0.240084
2021-09-11 09:09:17.072042 : Epoch  3, Batch   1647, Loss  0.876174, Average Loss  0.871291, Time  0.238123
2021-09-11 09:09:19.659939 : Epoch  3, Batch   1648, Loss  0.881688, Average Loss  0.871317, Time  0.238713
2021-09-11 09:09:22.247989 : Epoch  3, Batch   1649, Loss  0.871977, Average Loss  0.871349, Time  0.238281
2021-09-11 09:09:24.827886 : Epoch  3, Batch   1650, Loss  0.856252, Average Loss  0.871165, Time  0.237535
2021-09-11 09:09:27.427907 : Epoch  3, Batch   1651, Loss  0.867046, Average Loss  0.871169, Time  0.237224
2021-09-11 09:09:30.010846 : Epoch  3, Batch   1652, Loss  0.874328, Average Loss  0.871240, Time  0.238014
2021-09-11 09:09:32.606254 : Epoch  3, Batch   1653, Loss  0.864595, Average Loss  0.871114, Time  0.237369
2021-09-11 09:09:35.192826 : Epoch  3, Batch   1654, Loss  0.873710, Average Loss  0.871120, Time  0.237473
2021-09-11 09:09:36.267716 : CheckPoint: Validation Loss  0.00060927, Best Loss  0.00057296
2021-09-11 09:09:37.785904 : Epoch  3, Batch   1655, Loss  0.879935, Average Loss  0.871142, Time  0.237535
2021-09-11 09:09:37.872722 : Epoch  4, Batch   2668, Loss  0.885303, Average Loss  0.869805, Time  0.178781
2021-09-11 09:09:39.477728 : Epoch  4, Batch   2669, Loss  0.869085, Average Loss  0.869858, Time  0.172836
2021-09-11 09:09:40.373967 : Epoch  3, Batch   1656, Loss  0.883086, Average Loss  0.871232, Time  0.238245
2021-09-11 09:09:41.117007 : Epoch  4, Batch   2670, Loss  0.885317, Average Loss  0.869910, Time  0.179971
2021-09-11 09:09:42.742807 : Epoch  4, Batch   2671, Loss  0.885443, Average Loss  0.869926, Time  0.175655
2021-09-11 09:09:42.958013 : Epoch  3, Batch   1657, Loss  0.867562, Average Loss  0.871249, Time  0.238025
2021-09-11 09:09:44.365040 : Epoch  4, Batch   2672, Loss  0.878031, Average Loss  0.869844, Time  0.179185
2021-09-11 09:09:45.544992 : Epoch  3, Batch   1658, Loss  0.899853, Average Loss  0.871295, Time  0.237350
2021-09-11 09:09:45.973032 : Epoch  4, Batch   2673, Loss  0.868332, Average Loss  0.869935, Time  0.170015
2021-09-11 09:09:47.589740 : Epoch  4, Batch   2674, Loss  0.884797, Average Loss  0.869994, Time  0.173425
2021-09-11 09:09:48.121791 : Epoch  3, Batch   1659, Loss  0.888253, Average Loss  0.871352, Time  0.238436
2021-09-11 09:09:49.186028 : Epoch  4, Batch   2675, Loss  0.856007, Average Loss  0.869941, Time  0.172457
2021-09-11 09:09:50.723025 : Epoch  3, Batch   1660, Loss  0.850640, Average Loss  0.871216, Time  0.237296
2021-09-11 09:09:50.767485 : Epoch  4, Batch   2676, Loss  0.897794, Average Loss  0.869945, Time  0.177770
2021-09-11 09:09:52.354801 : Epoch  4, Batch   2677, Loss  0.877284, Average Loss  0.869962, Time  0.176899
2021-09-11 09:09:53.300566 : Epoch  3, Batch   1661, Loss  0.869248, Average Loss  0.871097, Time  0.237285
2021-09-11 09:09:53.967739 : Epoch  4, Batch   2678, Loss  0.871364, Average Loss  0.870027, Time  0.174158
2021-09-11 09:09:55.587029 : Epoch  4, Batch   2679, Loss  0.870523, Average Loss  0.870047, Time  0.175549
2021-09-11 09:09:55.878184 : Epoch  3, Batch   1662, Loss  0.878784, Average Loss  0.871116, Time  0.237944
2021-09-11 09:09:57.205032 : Epoch  4, Batch   2680, Loss  0.868791, Average Loss  0.869940, Time  0.175395
2021-09-11 09:09:58.472028 : Epoch  3, Batch   1663, Loss  0.863221, Average Loss  0.871037, Time  0.237618
2021-09-11 09:09:58.815804 : Epoch  4, Batch   2681, Loss  0.858822, Average Loss  0.869884, Time  0.174799
2021-09-11 09:10:00.409932 : Epoch  4, Batch   2682, Loss  0.881151, Average Loss  0.869912, Time  0.173462
2021-09-11 09:10:01.047851 : Epoch  3, Batch   1664, Loss  0.880633, Average Loss  0.871035, Time  0.237209
2021-09-11 09:10:02.046827 : Epoch  4, Batch   2683, Loss  0.859835, Average Loss  0.869774, Time  0.172551
2021-09-11 09:10:03.629875 : Epoch  3, Batch   1665, Loss  0.875507, Average Loss  0.871071, Time  0.238341
2021-09-11 09:10:03.672063 : Epoch  4, Batch   2684, Loss  0.838481, Average Loss  0.869686, Time  0.174848
2021-09-11 09:10:05.305069 : Epoch  4, Batch   2685, Loss  0.842524, Average Loss  0.869557, Time  0.178815
2021-09-11 09:10:06.218921 : Epoch  3, Batch   1666, Loss  0.859687, Average Loss  0.870974, Time  0.237047
2021-09-11 09:10:06.911770 : Epoch  4, Batch   2686, Loss  0.864889, Average Loss  0.869719, Time  0.173814
2021-09-11 09:10:08.519823 : Epoch  4, Batch   2687, Loss  0.849340, Average Loss  0.869551, Time  0.177903
2021-09-11 09:10:08.805350 : Epoch  3, Batch   1667, Loss  0.885150, Average Loss  0.871095, Time  0.238015
2021-09-11 09:10:10.117043 : Epoch  4, Batch   2688, Loss  0.859623, Average Loss  0.869525, Time  0.175353
2021-09-11 09:10:11.378360 : Epoch  3, Batch   1668, Loss  0.870223, Average Loss  0.871033, Time  0.238513
2021-09-11 09:10:11.711058 : Epoch  4, Batch   2689, Loss  0.860769, Average Loss  0.869495, Time  0.173317
2021-09-11 09:10:13.277810 : Epoch  4, Batch   2690, Loss  0.848214, Average Loss  0.869510, Time  0.173331
2021-09-11 09:10:13.958001 : Epoch  3, Batch   1669, Loss  0.870224, Average Loss  0.870977, Time  0.237403
2021-09-11 09:10:14.879775 : Epoch  4, Batch   2691, Loss  0.871994, Average Loss  0.869414, Time  0.170371
2021-09-11 09:10:16.476064 : Epoch  4, Batch   2692, Loss  0.862572, Average Loss  0.869349, Time  0.171783
2021-09-11 09:10:16.537932 : Epoch  3, Batch   1670, Loss  0.860506, Average Loss  0.870933, Time  0.238307
2021-09-11 09:10:18.127040 : Epoch  4, Batch   2693, Loss  0.874140, Average Loss  0.869469, Time  0.185900
2021-09-11 09:10:19.112924 : Epoch  3, Batch   1671, Loss  0.864075, Average Loss  0.870865, Time  0.237310
2021-09-11 09:10:19.731762 : Epoch  4, Batch   2694, Loss  0.883241, Average Loss  0.869511, Time  0.174721
2021-09-11 09:10:21.315752 : Epoch  4, Batch   2695, Loss  0.845412, Average Loss  0.869373, Time  0.173967
2021-09-11 09:10:21.709456 : Epoch  3, Batch   1672, Loss  0.883461, Average Loss  0.870847, Time  0.240025
2021-09-11 09:10:22.916067 : Epoch  4, Batch   2696, Loss  0.887487, Average Loss  0.869494, Time  0.172600
2021-09-11 09:10:24.285036 : Epoch  3, Batch   1673, Loss  0.867824, Average Loss  0.870738, Time  0.238309
2021-09-11 09:10:24.527768 : Epoch  4, Batch   2697, Loss  0.860276, Average Loss  0.869462, Time  0.173308
2021-09-11 09:10:26.122833 : Epoch  4, Batch   2698, Loss  0.854637, Average Loss  0.869510, Time  0.178132
2021-09-11 09:10:26.860875 : Epoch  3, Batch   1674, Loss  0.856703, Average Loss  0.870508, Time  0.242289
2021-09-11 09:10:27.743741 : Epoch  4, Batch   2699, Loss  0.859992, Average Loss  0.869392, Time  0.172529
2021-09-11 09:10:29.393059 : Epoch  4, Batch   2700, Loss  0.891241, Average Loss  0.869330, Time  0.190252
2021-09-11 09:10:29.438879 : Epoch  3, Batch   1675, Loss  0.874442, Average Loss  0.870542, Time  0.237272
2021-09-11 09:10:31.004894 : Epoch  4, Batch   2701, Loss  0.860082, Average Loss  0.869132, Time  0.170002
2021-09-11 09:10:32.010891 : Epoch  3, Batch   1676, Loss  0.884478, Average Loss  0.870528, Time  0.238862
2021-09-11 09:10:32.591812 : Epoch  4, Batch   2702, Loss  0.896215, Average Loss  0.869282, Time  0.171284
2021-09-11 09:10:34.212345 : Epoch  4, Batch   2703, Loss  0.881151, Average Loss  0.869359, Time  0.170102
2021-09-11 09:10:34.595027 : Epoch  3, Batch   1677, Loss  0.875871, Average Loss  0.870532, Time  0.238145
2021-09-11 09:10:35.837905 : Epoch  4, Batch   2704, Loss  0.860192, Average Loss  0.869348, Time  0.184166
2021-09-11 09:10:37.161863 : Epoch  3, Batch   1678, Loss  0.849005, Average Loss  0.870382, Time  0.237597
2021-09-11 09:10:37.448047 : Epoch  4, Batch   2705, Loss  0.849769, Average Loss  0.869384, Time  0.170369
2021-09-11 09:10:39.060097 : Epoch  4, Batch   2706, Loss  0.888590, Average Loss  0.869433, Time  0.176453
2021-09-11 09:10:39.751051 : Epoch  3, Batch   1679, Loss  0.872439, Average Loss  0.870366, Time  0.237485
2021-09-11 09:10:40.670902 : Epoch  4, Batch   2707, Loss  0.880000, Average Loss  0.869435, Time  0.172424
2021-09-11 09:10:42.278793 : Epoch  4, Batch   2708, Loss  0.827538, Average Loss  0.869279, Time  0.172679
2021-09-11 09:10:42.343372 : Epoch  3, Batch   1680, Loss  0.892408, Average Loss  0.870416, Time  0.238122
2021-09-11 09:10:43.863377 : Epoch  4, Batch   2709, Loss  0.841826, Average Loss  0.869072, Time  0.170168
2021-09-11 09:10:44.924968 : Epoch  3, Batch   1681, Loss  0.864961, Average Loss  0.870497, Time  0.237401
2021-09-11 09:10:45.468769 : Epoch  4, Batch   2710, Loss  0.887641, Average Loss  0.869201, Time  0.172836
2021-09-11 09:10:47.086745 : Epoch  4, Batch   2711, Loss  0.866064, Average Loss  0.869104, Time  0.177173
2021-09-11 09:10:47.507230 : Epoch  3, Batch   1682, Loss  0.868082, Average Loss  0.870514, Time  0.237968
2021-09-11 09:10:48.723936 : Epoch  4, Batch   2712, Loss  0.864674, Average Loss  0.869113, Time  0.173124
2021-09-11 09:10:50.082844 : Epoch  3, Batch   1683, Loss  0.868278, Average Loss  0.870580, Time  0.240515
2021-09-11 09:10:50.336428 : Epoch  4, Batch   2713, Loss  0.861738, Average Loss  0.869108, Time  0.169992
2021-09-11 09:10:51.915039 : Epoch  4, Batch   2714, Loss  0.851640, Average Loss  0.869080, Time  0.169798
2021-09-11 09:10:52.672947 : Epoch  3, Batch   1684, Loss  0.870393, Average Loss  0.870698, Time  0.237465
2021-09-11 09:10:53.554959 : Epoch  4, Batch   2715, Loss  0.889952, Average Loss  0.869209, Time  0.177521
2021-09-11 09:10:55.159079 : Epoch  4, Batch   2716, Loss  0.877994, Average Loss  0.869273, Time  0.174209
2021-09-11 09:10:55.258039 : Epoch  3, Batch   1685, Loss  0.881945, Average Loss  0.870834, Time  0.237362
2021-09-11 09:10:56.761791 : Epoch  4, Batch   2717, Loss  0.831574, Average Loss  0.869066, Time  0.177198
2021-09-11 09:10:57.826886 : Epoch  3, Batch   1686, Loss  0.901625, Average Loss  0.871029, Time  0.238430
2021-09-11 09:10:58.385034 : Epoch  4, Batch   2718, Loss  0.884822, Average Loss  0.869328, Time  0.174396
2021-09-11 09:10:59.998032 : Epoch  4, Batch   2719, Loss  0.873273, Average Loss  0.869328, Time  0.174248
2021-09-11 09:11:00.416927 : Epoch  3, Batch   1687, Loss  0.848463, Average Loss  0.870908, Time  0.237281
2021-09-11 09:11:01.617037 : Epoch  4, Batch   2720, Loss  0.880912, Average Loss  0.869255, Time  0.177855
2021-09-11 09:11:02.975835 : Epoch  3, Batch   1688, Loss  0.864546, Average Loss  0.870880, Time  0.237216
2021-09-11 09:11:03.215787 : Epoch  4, Batch   2721, Loss  0.867054, Average Loss  0.869346, Time  0.176249
2021-09-11 09:11:04.798044 : Epoch  4, Batch   2722, Loss  0.872160, Average Loss  0.869368, Time  0.169847
2021-09-11 09:11:06.441744 : Epoch  4, Batch   2723, Loss  0.919972, Average Loss  0.869679, Time  0.176353
2021-09-11 09:11:08.058055 : Epoch  4, Batch   2724, Loss  0.846390, Average Loss  0.869626, Time  0.178469
2021-09-11 09:11:09.669789 : Epoch  4, Batch   2725, Loss  0.865651, Average Loss  0.869666, Time  0.169792
2021-09-11 09:11:11.292829 : Epoch  4, Batch   2726, Loss  0.870365, Average Loss  0.869667, Time  0.170885
2021-09-11 09:11:12.918754 : Epoch  4, Batch   2727, Loss  0.881162, Average Loss  0.869623, Time  0.184761
2021-09-11 09:11:14.541762 : Epoch  4, Batch   2728, Loss  0.880637, Average Loss  0.869762, Time  0.170157
2021-09-11 09:11:16.128996 : Epoch  4, Batch   2729, Loss  0.868563, Average Loss  0.869773, Time  0.179964
2021-09-11 09:11:17.732755 : Epoch  4, Batch   2730, Loss  0.870997, Average Loss  0.869559, Time  0.170053
2021-09-11 09:11:19.327027 : Epoch  4, Batch   2731, Loss  0.877800, Average Loss  0.869597, Time  0.169637
2021-09-11 09:11:20.950031 : Epoch  4, Batch   2732, Loss  0.845048, Average Loss  0.869436, Time  0.174321
2021-09-11 09:11:22.580744 : Epoch  4, Batch   2733, Loss  0.854954, Average Loss  0.869306, Time  0.175953
2021-09-11 09:11:24.199032 : Epoch  4, Batch   2734, Loss  0.856854, Average Loss  0.869269, Time  0.176862
2021-09-11 09:11:25.824032 : Epoch  4, Batch   2735, Loss  0.858379, Average Loss  0.869244, Time  0.180500
2021-09-11 09:11:27.436772 : Epoch  4, Batch   2736, Loss  0.876045, Average Loss  0.869245, Time  0.169664
2021-09-11 09:11:29.033785 : Epoch  4, Batch   2737, Loss  0.867826, Average Loss  0.869228, Time  0.170086
2021-09-11 09:11:30.626746 : Epoch  4, Batch   2738, Loss  0.880757, Average Loss  0.869501, Time  0.169969
2021-09-11 09:11:32.233850 : Epoch  4, Batch   2739, Loss  0.864581, Average Loss  0.869406, Time  0.169622
2021-09-11 09:11:33.840782 : Epoch  4, Batch   2740, Loss  0.889517, Average Loss  0.869492, Time  0.169827
2021-09-11 09:11:35.467920 : Epoch  4, Batch   2741, Loss  0.859318, Average Loss  0.869275, Time  0.169685
2021-09-11 09:11:37.078004 : Epoch  4, Batch   2742, Loss  0.876207, Average Loss  0.869265, Time  0.169671
2021-09-11 09:11:38.747768 : Epoch  4, Batch   2743, Loss  0.913327, Average Loss  0.869416, Time  0.169635
2021-09-11 09:11:40.348998 : Epoch  4, Batch   2744, Loss  0.830476, Average Loss  0.869150, Time  0.169379
2021-09-11 09:11:41.945755 : Epoch  4, Batch   2745, Loss  0.847681, Average Loss  0.869094, Time  0.169965
2021-09-11 09:11:43.552744 : Epoch  4, Batch   2746, Loss  0.854574, Average Loss  0.869072, Time  0.169777
2021-09-11 09:11:45.169746 : Epoch  4, Batch   2747, Loss  0.872712, Average Loss  0.869084, Time  0.169489
2021-09-11 09:11:46.763930 : Epoch  4, Batch   2748, Loss  0.897077, Average Loss  0.869250, Time  0.169989
2021-09-11 09:11:48.362898 : Epoch  4, Batch   2749, Loss  0.890412, Average Loss  0.869416, Time  0.169688
2021-09-11 09:11:49.960750 : Epoch  4, Batch   2750, Loss  0.851702, Average Loss  0.869337, Time  0.169636
2021-09-11 09:11:51.588882 : Epoch  4, Batch   2751, Loss  0.840204, Average Loss  0.869220, Time  0.169764
2021-09-11 09:11:53.176809 : Epoch  4, Batch   2752, Loss  0.875395, Average Loss  0.869159, Time  0.169732
2021-09-11 09:11:54.781844 : Epoch  4, Batch   2753, Loss  0.866766, Average Loss  0.869236, Time  0.169611
2021-09-11 09:11:56.385819 : Epoch  4, Batch   2754, Loss  0.840455, Average Loss  0.869124, Time  0.169399
2021-09-11 09:11:57.976743 : Epoch  4, Batch   2755, Loss  0.873800, Average Loss  0.869136, Time  0.169594
2021-09-11 09:11:59.572754 : Epoch  4, Batch   2756, Loss  0.874220, Average Loss  0.869037, Time  0.169770
2021-09-11 09:12:01.199997 : Epoch  4, Batch   2757, Loss  0.863039, Average Loss  0.869073, Time  0.169895
2021-09-11 09:12:02.783771 : Epoch  4, Batch   2758, Loss  0.854844, Average Loss  0.869010, Time  0.169824
2021-09-11 09:12:04.404029 : Epoch  4, Batch   2759, Loss  0.848657, Average Loss  0.868659, Time  0.174711
2021-09-11 09:12:06.040795 : Epoch  4, Batch   2760, Loss  0.876591, Average Loss  0.868571, Time  0.175972
2021-09-11 09:12:07.671896 : Epoch  4, Batch   2761, Loss  0.879364, Average Loss  0.868569, Time  0.172023
2021-09-11 09:12:09.278041 : Epoch  4, Batch   2762, Loss  0.862449, Average Loss  0.868600, Time  0.175270
2021-09-11 09:12:10.889030 : Epoch  4, Batch   2763, Loss  0.849278, Average Loss  0.868607, Time  0.173135
2021-09-11 09:12:12.485805 : Epoch  4, Batch   2764, Loss  0.874137, Average Loss  0.868723, Time  0.171140
2021-09-11 09:12:14.080052 : Epoch  4, Batch   2765, Loss  0.875182, Average Loss  0.868833, Time  0.170930
2021-09-11 09:12:15.674861 : Epoch  4, Batch   2766, Loss  0.911828, Average Loss  0.869090, Time  0.169934
2021-09-11 09:12:17.302037 : Epoch  4, Batch   2767, Loss  0.857516, Average Loss  0.869109, Time  0.173417
2021-09-11 09:15:05.384732 : CheckPoint: Validation Loss  0.00031001, Best Loss  0.00029019
2021-09-11 09:15:08.001829 : Epoch  3, Batch   1689, Loss  0.839669, Average Loss  0.870796, Time  0.269748
2021-09-11 09:15:10.596351 : Epoch  3, Batch   1690, Loss  0.884522, Average Loss  0.870834, Time  0.246859
2021-09-11 09:15:13.185052 : Epoch  3, Batch   1691, Loss  0.874357, Average Loss  0.870853, Time  0.237988
2021-09-11 09:15:15.785821 : Epoch  3, Batch   1692, Loss  0.881422, Average Loss  0.870830, Time  0.237798
2021-09-11 09:15:18.365669 : Epoch  3, Batch   1693, Loss  0.854233, Average Loss  0.870825, Time  0.237026
2021-09-11 09:15:20.942719 : Epoch  3, Batch   1694, Loss  0.857361, Average Loss  0.870728, Time  0.237517
2021-09-11 09:15:23.525163 : Epoch  3, Batch   1695, Loss  0.859326, Average Loss  0.870756, Time  0.237291
2021-09-11 09:15:26.122363 : Epoch  3, Batch   1696, Loss  0.874916, Average Loss  0.870814, Time  0.237472
2021-09-11 09:15:28.698518 : Epoch  3, Batch   1697, Loss  0.893018, Average Loss  0.870851, Time  0.236987
2021-09-11 09:15:31.273854 : Epoch  3, Batch   1698, Loss  0.862943, Average Loss  0.870903, Time  0.237630
2021-09-11 09:15:33.849338 : Epoch  3, Batch   1699, Loss  0.859753, Average Loss  0.870828, Time  0.236922
2021-09-11 09:15:36.428263 : Epoch  3, Batch   1700, Loss  0.863612, Average Loss  0.870797, Time  0.237517
2021-09-11 09:15:39.000338 : Epoch  3, Batch   1701, Loss  0.879874, Average Loss  0.870810, Time  0.237952
2021-09-11 09:15:41.582670 : Epoch  3, Batch   1702, Loss  0.885226, Average Loss  0.870888, Time  0.237593
2021-09-11 09:15:44.161385 : Epoch  3, Batch   1703, Loss  0.854086, Average Loss  0.870804, Time  0.241363
2021-09-11 09:15:46.745861 : Epoch  3, Batch   1704, Loss  0.881481, Average Loss  0.870844, Time  0.237726
2021-09-11 09:15:49.338064 : Epoch  3, Batch   1705, Loss  0.891652, Average Loss  0.870848, Time  0.239851
2021-09-11 09:15:51.916735 : Epoch  3, Batch   1706, Loss  0.876384, Average Loss  0.870921, Time  0.237400
2021-09-11 09:15:54.514373 : Epoch  3, Batch   1707, Loss  0.893514, Average Loss  0.871094, Time  0.237166
2021-09-11 09:15:57.096895 : Epoch  3, Batch   1708, Loss  0.871839, Average Loss  0.871233, Time  0.237567
2021-09-11 09:15:59.686410 : Epoch  3, Batch   1709, Loss  0.867294, Average Loss  0.870988, Time  0.237112
2021-09-11 09:16:02.264989 : Epoch  3, Batch   1710, Loss  0.884144, Average Loss  0.871008, Time  0.239028
2021-09-11 09:16:04.841222 : Epoch  3, Batch   1711, Loss  0.865628, Average Loss  0.870943, Time  0.237392
2021-09-11 09:16:07.438419 : Epoch  3, Batch   1712, Loss  0.875007, Average Loss  0.871011, Time  0.239723
2021-09-11 09:16:10.017006 : Epoch  3, Batch   1713, Loss  0.868638, Average Loss  0.870999, Time  0.239064
2021-09-11 09:16:12.613152 : Epoch  3, Batch   1714, Loss  0.869088, Average Loss  0.871087, Time  0.237945
2021-09-11 09:16:15.190821 : Epoch  3, Batch   1715, Loss  0.865686, Average Loss  0.871072, Time  0.237631
2021-09-11 09:16:17.766880 : Epoch  3, Batch   1716, Loss  0.865870, Average Loss  0.871064, Time  0.237646
2021-09-11 09:16:20.340165 : Epoch  3, Batch   1717, Loss  0.866566, Average Loss  0.871059, Time  0.238442
2021-09-11 09:16:22.920210 : Epoch  3, Batch   1718, Loss  0.862100, Average Loss  0.870988, Time  0.237567
2021-09-11 09:16:25.518825 : Epoch  3, Batch   1719, Loss  0.890454, Average Loss  0.871119, Time  0.237146
2021-09-11 09:16:28.109435 : Epoch  3, Batch   1720, Loss  0.875184, Average Loss  0.871168, Time  0.238060
2021-09-11 09:16:30.683862 : Epoch  3, Batch   1721, Loss  0.867218, Average Loss  0.871139, Time  0.237591
2021-09-11 09:16:33.272860 : Epoch  3, Batch   1722, Loss  0.859727, Average Loss  0.871140, Time  0.238185
2021-09-11 09:16:35.862842 : Epoch  3, Batch   1723, Loss  0.848526, Average Loss  0.871110, Time  0.237729
2021-09-11 09:16:38.448897 : Epoch  3, Batch   1724, Loss  0.868818, Average Loss  0.871176, Time  0.238656
2021-09-11 09:16:41.028885 : Epoch  3, Batch   1725, Loss  0.872745, Average Loss  0.871148, Time  0.237497
2021-09-11 09:16:43.607058 : Epoch  3, Batch   1726, Loss  0.876017, Average Loss  0.871116, Time  0.237285
2021-09-11 09:16:46.188233 : Epoch  3, Batch   1727, Loss  0.882510, Average Loss  0.871187, Time  0.237175
2021-09-11 09:16:48.769550 : Epoch  3, Batch   1728, Loss  0.864192, Average Loss  0.871166, Time  0.237111
2021-09-11 09:16:51.348232 : Epoch  3, Batch   1729, Loss  0.855445, Average Loss  0.871148, Time  0.237300
2021-09-11 09:16:53.931693 : Epoch  3, Batch   1730, Loss  0.863682, Average Loss  0.871172, Time  0.237554
2021-09-11 09:16:56.517000 : Epoch  3, Batch   1731, Loss  0.852379, Average Loss  0.871080, Time  0.237511
2021-09-11 09:16:56.862734 : CheckPoint: Validation Loss  0.00059729, Best Loss  0.00057296
2021-09-11 09:16:58.449827 : Epoch  4, Batch   2768, Loss  0.860946, Average Loss  0.868962, Time  0.178606
2021-09-11 09:16:59.097031 : Epoch  3, Batch   1732, Loss  0.893775, Average Loss  0.871276, Time  0.238236
2021-09-11 09:17:00.046931 : Epoch  4, Batch   2769, Loss  0.876034, Average Loss  0.869143, Time  0.175697
2021-09-11 09:17:01.648816 : Epoch  4, Batch   2770, Loss  0.893576, Average Loss  0.869282, Time  0.174483
2021-09-11 09:17:01.682889 : Epoch  3, Batch   1733, Loss  0.866406, Average Loss  0.871272, Time  0.237417
2021-09-11 09:17:03.231744 : Epoch  4, Batch   2771, Loss  0.874059, Average Loss  0.869308, Time  0.171101
2021-09-11 09:17:04.267378 : Epoch  3, Batch   1734, Loss  0.847011, Average Loss  0.871087, Time  0.238687
2021-09-11 09:17:04.822741 : Epoch  4, Batch   2772, Loss  0.866026, Average Loss  0.869322, Time  0.173857
2021-09-11 09:17:06.411751 : Epoch  4, Batch   2773, Loss  0.889971, Average Loss  0.869448, Time  0.170234
2021-09-11 09:17:06.848881 : Epoch  3, Batch   1735, Loss  0.891466, Average Loss  0.871074, Time  0.237821
2021-09-11 09:17:08.014771 : Epoch  4, Batch   2774, Loss  0.866395, Average Loss  0.869576, Time  0.171333
2021-09-11 09:17:09.436191 : Epoch  3, Batch   1736, Loss  0.856047, Average Loss  0.870985, Time  0.238417
2021-09-11 09:17:09.603016 : Epoch  4, Batch   2775, Loss  0.881624, Average Loss  0.869587, Time  0.169890
2021-09-11 09:17:11.222849 : Epoch  4, Batch   2776, Loss  0.889065, Average Loss  0.869471, Time  0.175288
2021-09-11 09:17:12.015931 : Epoch  3, Batch   1737, Loss  0.894850, Average Loss  0.871142, Time  0.237602
2021-09-11 09:17:12.826745 : Epoch  4, Batch   2777, Loss  0.862581, Average Loss  0.869411, Time  0.176445
2021-09-11 09:17:14.460763 : Epoch  4, Batch   2778, Loss  0.854850, Average Loss  0.869175, Time  0.180770
2021-09-11 09:17:14.600741 : Epoch  3, Batch   1738, Loss  0.892452, Average Loss  0.871319, Time  0.237839
2021-09-11 09:17:16.073032 : Epoch  4, Batch   2779, Loss  0.864918, Average Loss  0.869176, Time  0.169851
2021-09-11 09:17:17.172025 : Epoch  3, Batch   1739, Loss  0.861546, Average Loss  0.871281, Time  0.238112
2021-09-11 09:17:17.670036 : Epoch  4, Batch   2780, Loss  0.865580, Average Loss  0.869198, Time  0.169898
2021-09-11 09:17:19.268042 : Epoch  4, Batch   2781, Loss  0.880010, Average Loss  0.869205, Time  0.172488
2021-09-11 09:17:19.749981 : Epoch  3, Batch   1740, Loss  0.872516, Average Loss  0.871471, Time  0.237680
2021-09-11 09:17:20.872798 : Epoch  4, Batch   2782, Loss  0.879621, Average Loss  0.869135, Time  0.175701
2021-09-11 09:17:22.329827 : Epoch  3, Batch   1741, Loss  0.878204, Average Loss  0.871560, Time  0.237558
2021-09-11 09:17:22.490764 : Epoch  4, Batch   2783, Loss  0.879332, Average Loss  0.869149, Time  0.173913
2021-09-11 09:17:24.070752 : Epoch  4, Batch   2784, Loss  0.918869, Average Loss  0.869443, Time  0.171890
2021-09-11 09:17:24.908307 : Epoch  3, Batch   1742, Loss  0.865271, Average Loss  0.871621, Time  0.237135
2021-09-11 09:17:25.673029 : Epoch  4, Batch   2785, Loss  0.872013, Average Loss  0.869552, Time  0.178369
2021-09-11 09:17:27.316038 : Epoch  4, Batch   2786, Loss  0.869350, Average Loss  0.869390, Time  0.190730
2021-09-11 09:17:27.487848 : Epoch  3, Batch   1743, Loss  0.881839, Average Loss  0.871596, Time  0.240217
2021-09-11 09:17:28.942833 : Epoch  4, Batch   2787, Loss  0.884603, Average Loss  0.869410, Time  0.175682
2021-09-11 09:17:30.068414 : Epoch  3, Batch   1744, Loss  0.868647, Average Loss  0.871624, Time  0.237476
2021-09-11 09:17:30.558033 : Epoch  4, Batch   2788, Loss  0.878218, Average Loss  0.869502, Time  0.174085
2021-09-11 09:17:32.155737 : Epoch  4, Batch   2789, Loss  0.899926, Average Loss  0.869678, Time  0.174290
2021-09-11 09:17:32.648384 : Epoch  3, Batch   1745, Loss  0.868984, Average Loss  0.871618, Time  0.238773
2021-09-11 09:17:33.758798 : Epoch  4, Batch   2790, Loss  0.871691, Average Loss  0.869685, Time  0.169421
2021-09-11 09:17:35.234774 : Epoch  3, Batch   1746, Loss  0.865133, Average Loss  0.871489, Time  0.237458
2021-09-11 09:17:35.389034 : Epoch  4, Batch   2791, Loss  0.850242, Average Loss  0.869692, Time  0.170976
2021-09-11 09:17:36.970027 : Epoch  4, Batch   2792, Loss  0.866396, Average Loss  0.869471, Time  0.169868
2021-09-11 09:17:37.815378 : Epoch  3, Batch   1747, Loss  0.860867, Average Loss  0.871421, Time  0.237393
2021-09-11 09:17:38.534845 : Epoch  4, Batch   2793, Loss  0.872376, Average Loss  0.869410, Time  0.169918
2021-09-11 09:17:40.122033 : Epoch  4, Batch   2794, Loss  0.848880, Average Loss  0.869388, Time  0.173885
2021-09-11 09:17:40.390922 : Epoch  3, Batch   1748, Loss  0.886357, Average Loss  0.871446, Time  0.237281
2021-09-11 09:17:41.754853 : Epoch  4, Batch   2795, Loss  0.861271, Average Loss  0.869371, Time  0.182340
2021-09-11 09:17:42.962243 : Epoch  3, Batch   1749, Loss  0.890574, Average Loss  0.871523, Time  0.237695
2021-09-11 09:17:43.379028 : Epoch  4, Batch   2796, Loss  0.888122, Average Loss  0.869406, Time  0.194275
2021-09-11 09:17:44.964774 : Epoch  4, Batch   2797, Loss  0.857299, Average Loss  0.869355, Time  0.173748
2021-09-11 09:17:45.540817 : Epoch  3, Batch   1750, Loss  0.878328, Average Loss  0.871633, Time  0.239757
2021-09-11 09:17:46.553031 : Epoch  4, Batch   2798, Loss  0.872843, Average Loss  0.869493, Time  0.169872
2021-09-11 09:17:48.124902 : Epoch  3, Batch   1751, Loss  0.879436, Average Loss  0.871678, Time  0.238567
2021-09-11 09:17:48.143023 : Epoch  4, Batch   2799, Loss  0.877601, Average Loss  0.869664, Time  0.172493
2021-09-11 09:17:49.725984 : Epoch  4, Batch   2800, Loss  0.865599, Average Loss  0.869634, Time  0.170135
2021-09-11 09:17:50.698806 : Epoch  3, Batch   1752, Loss  0.878973, Average Loss  0.871623, Time  0.237957
2021-09-11 09:17:51.313920 : Epoch  4, Batch   2801, Loss  0.855441, Average Loss  0.869608, Time  0.172543
2021-09-11 09:17:52.912797 : Epoch  4, Batch   2802, Loss  0.898315, Average Loss  0.869839, Time  0.175488
2021-09-11 09:17:53.271051 : Epoch  3, Batch   1753, Loss  0.850172, Average Loss  0.871412, Time  0.237438
2021-09-11 09:17:54.498772 : Epoch  4, Batch   2803, Loss  0.863255, Average Loss  0.869724, Time  0.178290
2021-09-11 09:17:55.844919 : Epoch  3, Batch   1754, Loss  0.881613, Average Loss  0.871476, Time  0.237463
2021-09-11 09:17:56.091032 : Epoch  4, Batch   2804, Loss  0.890334, Average Loss  0.869905, Time  0.170277
2021-09-11 09:17:57.697183 : Epoch  4, Batch   2805, Loss  0.856005, Average Loss  0.869548, Time  0.175617
2021-09-11 09:17:58.423424 : Epoch  3, Batch   1755, Loss  0.872108, Average Loss  0.871335, Time  0.237094
2021-09-11 09:17:59.279743 : Epoch  4, Batch   2806, Loss  0.873437, Average Loss  0.869632, Time  0.180166
2021-09-11 09:18:00.890031 : Epoch  4, Batch   2807, Loss  0.883003, Average Loss  0.869786, Time  0.176034
2021-09-11 09:18:00.990682 : Epoch  3, Batch   1756, Loss  0.862460, Average Loss  0.871268, Time  0.236927
2021-09-11 09:18:02.485859 : Epoch  4, Batch   2808, Loss  0.874245, Average Loss  0.869833, Time  0.173723
2021-09-11 09:18:03.558390 : Epoch  3, Batch   1757, Loss  0.870379, Average Loss  0.871235, Time  0.237131
2021-09-11 09:18:04.089748 : Epoch  4, Batch   2809, Loss  0.866121, Average Loss  0.869850, Time  0.169615
2021-09-11 09:18:05.699769 : Epoch  4, Batch   2810, Loss  0.853356, Average Loss  0.869783, Time  0.169935
2021-09-11 09:18:06.128812 : Epoch  3, Batch   1758, Loss  0.858682, Average Loss  0.871214, Time  0.237141
2021-09-11 09:18:07.328776 : Epoch  4, Batch   2811, Loss  0.886556, Average Loss  0.869751, Time  0.173905
2021-09-11 09:18:08.701199 : Epoch  3, Batch   1759, Loss  0.871961, Average Loss  0.871188, Time  0.237955
2021-09-11 09:18:08.922030 : Epoch  4, Batch   2812, Loss  0.863461, Average Loss  0.869679, Time  0.172114
2021-09-11 09:18:10.519927 : Epoch  4, Batch   2813, Loss  0.877248, Average Loss  0.869825, Time  0.172322
2021-09-11 09:18:11.282104 : Epoch  3, Batch   1760, Loss  0.859270, Average Loss  0.871219, Time  0.238771
2021-09-11 09:18:12.139753 : Epoch  4, Batch   2814, Loss  0.868831, Average Loss  0.869786, Time  0.177892
2021-09-11 09:18:13.737796 : Epoch  4, Batch   2815, Loss  0.895650, Average Loss  0.869887, Time  0.183055
2021-09-11 09:18:13.886036 : Epoch  3, Batch   1761, Loss  0.886457, Average Loss  0.871292, Time  0.237290
2021-09-11 09:18:15.340806 : Epoch  4, Batch   2816, Loss  0.836764, Average Loss  0.869750, Time  0.170293
2021-09-11 09:18:16.458857 : Epoch  3, Batch   1762, Loss  0.873247, Average Loss  0.871325, Time  0.238790
2021-09-11 09:18:16.954971 : Epoch  4, Batch   2817, Loss  0.869198, Average Loss  0.869840, Time  0.172833
2021-09-11 09:18:18.560839 : Epoch  4, Batch   2818, Loss  0.869674, Average Loss  0.869734, Time  0.170103
2021-09-11 09:18:19.045873 : Epoch  3, Batch   1763, Loss  0.887689, Average Loss  0.871361, Time  0.237863
2021-09-11 09:18:20.153759 : Epoch  4, Batch   2819, Loss  0.860264, Average Loss  0.869625, Time  0.173422
2021-09-11 09:18:21.637948 : Epoch  3, Batch   1764, Loss  0.869366, Average Loss  0.871350, Time  0.239812
2021-09-11 09:18:21.738820 : Epoch  4, Batch   2820, Loss  0.893715, Average Loss  0.869761, Time  0.176865
2021-09-11 09:18:23.326037 : Epoch  4, Batch   2821, Loss  0.849346, Average Loss  0.869679, Time  0.170111
2021-09-11 09:18:24.216836 : Epoch  3, Batch   1765, Loss  0.871561, Average Loss  0.871179, Time  0.238138
2021-09-11 09:18:24.936991 : Epoch  4, Batch   2822, Loss  0.862442, Average Loss  0.869589, Time  0.174647
2021-09-11 09:18:26.561964 : Epoch  4, Batch   2823, Loss  0.867151, Average Loss  0.869527, Time  0.174201
2021-09-11 09:18:26.835895 : Epoch  3, Batch   1766, Loss  0.871706, Average Loss  0.871187, Time  0.250834
2021-09-11 09:18:28.170808 : Epoch  4, Batch   2824, Loss  0.844781, Average Loss  0.869622, Time  0.178324
2021-09-11 09:18:29.420399 : Epoch  3, Batch   1767, Loss  0.845427, Average Loss  0.871125, Time  0.237145
2021-09-11 09:18:29.775768 : Epoch  4, Batch   2825, Loss  0.853808, Average Loss  0.869516, Time  0.174220
2021-09-11 09:18:31.413048 : Epoch  4, Batch   2826, Loss  0.855970, Average Loss  0.869543, Time  0.176156
2021-09-11 09:18:31.998387 : Epoch  3, Batch   1768, Loss  0.878707, Average Loss  0.871172, Time  0.237375
2021-09-11 09:18:33.011768 : Epoch  4, Batch   2827, Loss  0.871080, Average Loss  0.869616, Time  0.169813
2021-09-11 09:18:34.582857 : Epoch  3, Batch   1769, Loss  0.859208, Average Loss  0.871106, Time  0.237317
2021-09-11 09:18:34.617807 : Epoch  4, Batch   2828, Loss  0.865845, Average Loss  0.869562, Time  0.169797
2021-09-11 09:18:36.230818 : Epoch  4, Batch   2829, Loss  0.859795, Average Loss  0.869596, Time  0.172531
2021-09-11 09:18:37.166969 : Epoch  3, Batch   1770, Loss  0.857642, Average Loss  0.871003, Time  0.238075
2021-09-11 09:18:37.834913 : Epoch  4, Batch   2830, Loss  0.860981, Average Loss  0.869576, Time  0.172177
2021-09-11 09:18:39.453756 : Epoch  4, Batch   2831, Loss  0.884925, Average Loss  0.869678, Time  0.174687
2021-09-11 09:18:39.747935 : Epoch  3, Batch   1771, Loss  0.865720, Average Loss  0.871024, Time  0.238665
2021-09-11 09:18:41.041801 : Epoch  4, Batch   2832, Loss  0.862656, Average Loss  0.869706, Time  0.172758
2021-09-11 09:18:42.320847 : Epoch  3, Batch   1772, Loss  0.854945, Average Loss  0.870935, Time  0.237852
2021-09-11 09:18:42.626736 : Epoch  4, Batch   2833, Loss  0.830981, Average Loss  0.869426, Time  0.169879
2021-09-11 09:18:44.234753 : Epoch  4, Batch   2834, Loss  0.858468, Average Loss  0.869483, Time  0.170644
2021-09-11 09:18:44.902893 : Epoch  3, Batch   1773, Loss  0.843864, Average Loss  0.870857, Time  0.237520
2021-09-11 09:18:45.836790 : Epoch  4, Batch   2835, Loss  0.892704, Average Loss  0.869582, Time  0.170052
2021-09-11 09:18:47.435767 : Epoch  4, Batch   2836, Loss  0.865549, Average Loss  0.869628, Time  0.181481
2021-09-11 09:18:47.488378 : Epoch  3, Batch   1774, Loss  0.867471, Average Loss  0.870904, Time  0.240649
2021-09-11 09:18:49.035877 : Epoch  4, Batch   2837, Loss  0.860893, Average Loss  0.869521, Time  0.169895
2021-09-11 09:18:50.073832 : Epoch  3, Batch   1775, Loss  0.890289, Average Loss  0.871144, Time  0.240257
2021-09-11 09:18:50.636033 : Epoch  4, Batch   2838, Loss  0.846452, Average Loss  0.869468, Time  0.169671
2021-09-11 09:18:52.239750 : Epoch  4, Batch   2839, Loss  0.869646, Average Loss  0.869306, Time  0.170316
2021-09-11 09:18:52.656850 : Epoch  3, Batch   1776, Loss  0.870032, Average Loss  0.871310, Time  0.237869
2021-09-11 09:18:53.833034 : Epoch  4, Batch   2840, Loss  0.881713, Average Loss  0.869321, Time  0.171794
2021-09-11 09:18:55.222761 : Epoch  3, Batch   1777, Loss  0.846858, Average Loss  0.871138, Time  0.238170
2021-09-11 09:18:55.468872 : Epoch  4, Batch   2841, Loss  0.865845, Average Loss  0.869239, Time  0.174700
2021-09-11 09:18:57.071804 : Epoch  4, Batch   2842, Loss  0.868313, Average Loss  0.869111, Time  0.178577
2021-09-11 09:18:57.806389 : Epoch  3, Batch   1778, Loss  0.868608, Average Loss  0.870996, Time  0.237614
2021-09-11 09:18:58.741055 : Epoch  4, Batch   2843, Loss  0.852800, Average Loss  0.869224, Time  0.183374
2021-09-11 09:19:00.331760 : Epoch  4, Batch   2844, Loss  0.900366, Average Loss  0.869234, Time  0.170285
2021-09-11 09:19:00.377033 : Epoch  3, Batch   1779, Loss  0.878679, Average Loss  0.871083, Time  0.238132
2021-09-11 09:19:01.941036 : Epoch  4, Batch   2845, Loss  0.858555, Average Loss  0.869169, Time  0.174772
2021-09-11 09:19:02.962982 : Epoch  3, Batch   1780, Loss  0.866481, Average Loss  0.871085, Time  0.237551
2021-09-11 09:19:03.520028 : Epoch  4, Batch   2846, Loss  0.865094, Average Loss  0.869165, Time  0.169701
2021-09-11 09:19:05.113796 : Epoch  4, Batch   2847, Loss  0.874501, Average Loss  0.869186, Time  0.173808
2021-09-11 09:19:05.533413 : Epoch  3, Batch   1781, Loss  0.870872, Average Loss  0.871041, Time  0.238109
2021-09-11 09:19:06.703937 : Epoch  4, Batch   2848, Loss  0.828501, Average Loss  0.869068, Time  0.170060
2021-09-11 09:19:08.108984 : Epoch  3, Batch   1782, Loss  0.872867, Average Loss  0.870948, Time  0.237773
2021-09-11 09:19:08.313768 : Epoch  4, Batch   2849, Loss  0.872590, Average Loss  0.869166, Time  0.170210
2021-09-11 09:19:09.934224 : Epoch  4, Batch   2850, Loss  0.871474, Average Loss  0.869106, Time  0.177481
2021-09-11 09:19:10.684772 : Epoch  3, Batch   1783, Loss  0.897798, Average Loss  0.871024, Time  0.237509
2021-09-11 09:19:11.530745 : Epoch  4, Batch   2851, Loss  0.854515, Average Loss  0.869050, Time  0.170069
2021-09-11 09:19:13.147034 : Epoch  4, Batch   2852, Loss  0.868349, Average Loss  0.869001, Time  0.170457
2021-09-11 09:19:13.266933 : Epoch  3, Batch   1784, Loss  0.878872, Average Loss  0.871140, Time  0.238367
2021-09-11 09:19:14.737023 : Epoch  4, Batch   2853, Loss  0.883309, Average Loss  0.869134, Time  0.176630
2021-09-11 09:19:15.847466 : Epoch  3, Batch   1785, Loss  0.892879, Average Loss  0.871154, Time  0.237641
2021-09-11 09:19:16.314873 : Epoch  4, Batch   2854, Loss  0.863985, Average Loss  0.869014, Time  0.172736
2021-09-11 09:19:17.931772 : Epoch  4, Batch   2855, Loss  0.866574, Average Loss  0.868962, Time  0.173948
2021-09-11 09:19:18.425839 : Epoch  3, Batch   1786, Loss  0.865066, Average Loss  0.871017, Time  0.237796
2021-09-11 09:19:19.535777 : Epoch  4, Batch   2856, Loss  0.881502, Average Loss  0.869064, Time  0.172748
2021-09-11 09:19:20.994449 : Epoch  3, Batch   1787, Loss  0.866707, Average Loss  0.871004, Time  0.237962
2021-09-11 09:19:21.129743 : Epoch  4, Batch   2857, Loss  0.855347, Average Loss  0.869020, Time  0.174058
2021-09-11 09:19:22.721790 : Epoch  4, Batch   2858, Loss  0.892438, Average Loss  0.869226, Time  0.170305
2021-09-11 09:19:23.579405 : Epoch  3, Batch   1788, Loss  0.867535, Average Loss  0.870964, Time  0.237473
2021-09-11 09:19:24.339032 : Epoch  4, Batch   2859, Loss  0.898930, Average Loss  0.869595, Time  0.169768
2021-09-11 09:19:25.911825 : Epoch  4, Batch   2860, Loss  0.866901, Average Loss  0.869498, Time  0.169843
2021-09-11 09:19:27.515778 : Epoch  4, Batch   2861, Loss  0.850408, Average Loss  0.869327, Time  0.169698
2021-09-11 09:19:29.112031 : Epoch  4, Batch   2862, Loss  0.849206, Average Loss  0.869160, Time  0.171975
2021-09-11 09:19:30.724839 : Epoch  4, Batch   2863, Loss  0.809158, Average Loss  0.868777, Time  0.177019
2021-09-11 09:19:32.314027 : Epoch  4, Batch   2864, Loss  0.873828, Average Loss  0.868726, Time  0.172333
2021-09-11 09:19:33.909755 : Epoch  4, Batch   2865, Loss  0.882535, Average Loss  0.868672, Time  0.169801
2021-09-11 09:19:35.491864 : Epoch  4, Batch   2866, Loss  0.856872, Average Loss  0.868530, Time  0.174655
2021-09-11 09:19:42.591506 : Epoch  4, Batch   2867, Loss  0.877988, Average Loss  0.868751, Time  0.181202
2021-09-11 09:23:26.244740 : CheckPoint: Validation Loss  0.00030647, Best Loss  0.00029019
2021-09-11 09:23:28.856855 : Epoch  3, Batch   1789, Loss  0.884295, Average Loss  0.871189, Time  0.238495
2021-09-11 09:23:31.440268 : Epoch  3, Batch   1790, Loss  0.851652, Average Loss  0.871048, Time  0.238012
2021-09-11 09:23:34.026846 : Epoch  3, Batch   1791, Loss  0.851007, Average Loss  0.870928, Time  0.236946
2021-09-11 09:23:36.609528 : Epoch  3, Batch   1792, Loss  0.888764, Average Loss  0.871063, Time  0.239065
2021-09-11 09:23:39.199958 : Epoch  3, Batch   1793, Loss  0.885841, Average Loss  0.871091, Time  0.237105
2021-09-11 09:23:41.788386 : Epoch  3, Batch   1794, Loss  0.866311, Average Loss  0.871072, Time  0.236952
2021-09-11 09:23:44.369839 : Epoch  3, Batch   1795, Loss  0.857096, Average Loss  0.870992, Time  0.237470
2021-09-11 09:23:46.950331 : Epoch  3, Batch   1796, Loss  0.882880, Average Loss  0.871044, Time  0.237505
2021-09-11 09:23:49.533292 : Epoch  3, Batch   1797, Loss  0.871462, Average Loss  0.870936, Time  0.239269
2021-09-11 09:23:52.118516 : Epoch  3, Batch   1798, Loss  0.847594, Average Loss  0.870796, Time  0.237883
2021-09-11 09:23:54.704863 : Epoch  3, Batch   1799, Loss  0.853673, Average Loss  0.870655, Time  0.238319
2021-09-11 09:23:57.304157 : Epoch  3, Batch   1800, Loss  0.867937, Average Loss  0.870605, Time  0.238766
2021-09-11 09:23:59.917956 : Epoch  3, Batch   1801, Loss  0.867135, Average Loss  0.870551, Time  0.238799
2021-09-11 09:24:02.509879 : Epoch  3, Batch   1802, Loss  0.885227, Average Loss  0.870691, Time  0.239214
2021-09-11 09:24:05.103420 : Epoch  3, Batch   1803, Loss  0.867533, Average Loss  0.870688, Time  0.237157
2021-09-11 09:24:07.693373 : Epoch  3, Batch   1804, Loss  0.864664, Average Loss  0.870659, Time  0.238147
2021-09-11 09:24:10.280646 : Epoch  3, Batch   1805, Loss  0.874232, Average Loss  0.870643, Time  0.237713
2021-09-11 09:24:12.885405 : Epoch  3, Batch   1806, Loss  0.875402, Average Loss  0.870698, Time  0.237599
2021-09-11 09:24:15.496679 : Epoch  3, Batch   1807, Loss  0.868349, Average Loss  0.870740, Time  0.239359
2021-09-11 09:24:18.089066 : Epoch  3, Batch   1808, Loss  0.872929, Average Loss  0.870722, Time  0.237175
2021-09-11 09:24:20.677388 : Epoch  3, Batch   1809, Loss  0.875200, Average Loss  0.870799, Time  0.237085
2021-09-11 09:24:22.675741 : CheckPoint: Validation Loss  0.00061996, Best Loss  0.00057296
2021-09-11 09:24:23.261088 : Epoch  3, Batch   1810, Loss  0.879414, Average Loss  0.870975, Time  0.237436
2021-09-11 09:24:24.274746 : Epoch  4, Batch   2868, Loss  0.866619, Average Loss  0.868657, Time  0.184541
2021-09-11 09:24:25.838952 : Epoch  3, Batch   1811, Loss  0.873124, Average Loss  0.870916, Time  0.238430
2021-09-11 09:24:25.885796 : Epoch  4, Batch   2869, Loss  0.879858, Average Loss  0.868711, Time  0.176490
2021-09-11 09:24:27.481838 : Epoch  4, Batch   2870, Loss  0.839869, Average Loss  0.868484, Time  0.170657
2021-09-11 09:24:28.423411 : Epoch  3, Batch   1812, Loss  0.862034, Average Loss  0.870888, Time  0.238054
2021-09-11 09:24:29.095032 : Epoch  4, Batch   2871, Loss  0.863348, Average Loss  0.868373, Time  0.175614
2021-09-11 09:24:30.706016 : Epoch  4, Batch   2872, Loss  0.883315, Average Loss  0.868400, Time  0.174861
2021-09-11 09:24:31.014849 : Epoch  3, Batch   1813, Loss  0.879917, Average Loss  0.870986, Time  0.239320
2021-09-11 09:24:32.317955 : Epoch  4, Batch   2873, Loss  0.854138, Average Loss  0.868329, Time  0.179153
2021-09-11 09:24:33.614791 : Epoch  3, Batch   1814, Loss  0.880401, Average Loss  0.871009, Time  0.239194
2021-09-11 09:24:33.939028 : Epoch  4, Batch   2874, Loss  0.855327, Average Loss  0.868181, Time  0.181087
2021-09-11 09:24:35.533781 : Epoch  4, Batch   2875, Loss  0.861210, Average Loss  0.868207, Time  0.173070
2021-09-11 09:24:36.206034 : Epoch  3, Batch   1815, Loss  0.884086, Average Loss  0.870940, Time  0.237874
2021-09-11 09:24:37.183028 : Epoch  4, Batch   2876, Loss  0.870271, Average Loss  0.868070, Time  0.184270
2021-09-11 09:24:38.782068 : Epoch  4, Batch   2877, Loss  0.899576, Average Loss  0.868181, Time  0.174441
2021-09-11 09:24:38.796978 : Epoch  3, Batch   1816, Loss  0.874137, Average Loss  0.871065, Time  0.237520
2021-09-11 09:24:40.392040 : Epoch  4, Batch   2878, Loss  0.852800, Average Loss  0.868088, Time  0.169882
2021-09-11 09:24:41.398344 : Epoch  3, Batch   1817, Loss  0.876949, Average Loss  0.870975, Time  0.237615
2021-09-11 09:24:42.002037 : Epoch  4, Batch   2879, Loss  0.858821, Average Loss  0.868030, Time  0.178599
2021-09-11 09:24:43.620793 : Epoch  4, Batch   2880, Loss  0.901002, Average Loss  0.868191, Time  0.169850
2021-09-11 09:24:43.988506 : Epoch  3, Batch   1818, Loss  0.888754, Average Loss  0.871108, Time  0.237977
2021-09-11 09:24:45.233043 : Epoch  4, Batch   2881, Loss  0.852817, Average Loss  0.868161, Time  0.176455
2021-09-11 09:24:46.566379 : Epoch  3, Batch   1819, Loss  0.878012, Average Loss  0.871158, Time  0.236951
2021-09-11 09:24:46.865029 : Epoch  4, Batch   2882, Loss  0.848347, Average Loss  0.867997, Time  0.174254
2021-09-11 09:24:48.490026 : Epoch  4, Batch   2883, Loss  0.876481, Average Loss  0.868080, Time  0.174221
2021-09-11 09:24:49.148408 : Epoch  3, Batch   1820, Loss  0.881689, Average Loss  0.871268, Time  0.237696
2021-09-11 09:24:50.084805 : Epoch  4, Batch   2884, Loss  0.865409, Average Loss  0.868215, Time  0.171510
2021-09-11 09:24:51.706798 : Epoch  4, Batch   2885, Loss  0.870134, Average Loss  0.868353, Time  0.171732
2021-09-11 09:24:51.732267 : Epoch  3, Batch   1821, Loss  0.864512, Average Loss  0.871198, Time  0.237185
2021-09-11 09:24:53.311037 : Epoch  4, Batch   2886, Loss  0.879242, Average Loss  0.868425, Time  0.172967
2021-09-11 09:24:54.325394 : Epoch  3, Batch   1822, Loss  0.866856, Average Loss  0.871114, Time  0.237347
2021-09-11 09:24:54.947036 : Epoch  4, Batch   2887, Loss  0.883290, Average Loss  0.868594, Time  0.190135
2021-09-11 09:24:56.566744 : Epoch  4, Batch   2888, Loss  0.892025, Average Loss  0.868756, Time  0.169861
2021-09-11 09:24:56.909131 : Epoch  3, Batch   1823, Loss  0.867609, Average Loss  0.871150, Time  0.237285
2021-09-11 09:24:58.183034 : Epoch  4, Batch   2889, Loss  0.912114, Average Loss  0.869013, Time  0.169954
2021-09-11 09:24:59.497402 : Epoch  3, Batch   1824, Loss  0.882968, Average Loss  0.871260, Time  0.237237
2021-09-11 09:24:59.799040 : Epoch  4, Batch   2890, Loss  0.876708, Average Loss  0.869156, Time  0.170072
2021-09-11 09:25:01.403791 : Epoch  4, Batch   2891, Loss  0.866135, Average Loss  0.869126, Time  0.186979
2021-09-11 09:25:02.099882 : Epoch  3, Batch   1825, Loss  0.874647, Average Loss  0.871195, Time  0.237473
2021-09-11 09:25:03.004036 : Epoch  4, Batch   2892, Loss  0.907364, Average Loss  0.869350, Time  0.181532
2021-09-11 09:25:04.586904 : Epoch  4, Batch   2893, Loss  0.871507, Average Loss  0.869337, Time  0.176444
2021-09-11 09:25:04.704645 : Epoch  3, Batch   1826, Loss  0.885685, Average Loss  0.871208, Time  0.238797
2021-09-11 09:25:06.209028 : Epoch  4, Batch   2894, Loss  0.886441, Average Loss  0.869353, Time  0.184607
2021-09-11 09:25:07.281926 : Epoch  3, Batch   1827, Loss  0.876017, Average Loss  0.871315, Time  0.237490
2021-09-11 09:25:07.844945 : Epoch  4, Batch   2895, Loss  0.856391, Average Loss  0.869408, Time  0.177159
2021-09-11 09:25:09.464767 : Epoch  4, Batch   2896, Loss  0.872651, Average Loss  0.869334, Time  0.169852
2021-09-11 09:25:09.880988 : Epoch  3, Batch   1828, Loss  0.872044, Average Loss  0.871275, Time  0.242248
2021-09-11 09:25:11.080757 : Epoch  4, Batch   2897, Loss  0.858900, Average Loss  0.869327, Time  0.171986
2021-09-11 09:25:12.488058 : Epoch  3, Batch   1829, Loss  0.880647, Average Loss  0.871373, Time  0.238918
2021-09-11 09:25:12.686028 : Epoch  4, Batch   2898, Loss  0.860070, Average Loss  0.869354, Time  0.170811
2021-09-11 09:25:14.293852 : Epoch  4, Batch   2899, Loss  0.872098, Average Loss  0.869415, Time  0.171581
2021-09-11 09:25:15.077511 : Epoch  3, Batch   1830, Loss  0.872192, Average Loss  0.871315, Time  0.237259
2021-09-11 09:25:15.914010 : Epoch  4, Batch   2900, Loss  0.876756, Average Loss  0.869342, Time  0.171309
2021-09-11 09:25:17.531837 : Epoch  4, Batch   2901, Loss  0.854304, Average Loss  0.869313, Time  0.170443
2021-09-11 09:25:17.670587 : Epoch  3, Batch   1831, Loss  0.851433, Average Loss  0.871212, Time  0.237625
2021-09-11 09:25:19.160038 : Epoch  4, Batch   2902, Loss  0.889920, Average Loss  0.869282, Time  0.171792
2021-09-11 09:25:20.269820 : Epoch  3, Batch   1832, Loss  0.869710, Average Loss  0.871266, Time  0.239223
2021-09-11 09:25:20.761020 : Epoch  4, Batch   2903, Loss  0.868980, Average Loss  0.869221, Time  0.170520
2021-09-11 09:25:22.373743 : Epoch  4, Batch   2904, Loss  0.854750, Average Loss  0.869194, Time  0.175825
2021-09-11 09:25:22.852968 : Epoch  3, Batch   1833, Loss  0.877133, Average Loss  0.871266, Time  0.238077
2021-09-11 09:25:23.998176 : Epoch  4, Batch   2905, Loss  0.872028, Average Loss  0.869305, Time  0.169572
2021-09-11 09:25:25.462535 : Epoch  3, Batch   1834, Loss  0.878239, Average Loss  0.871277, Time  0.238256
2021-09-11 09:25:25.606035 : Epoch  4, Batch   2906, Loss  0.870204, Average Loss  0.869213, Time  0.181473
2021-09-11 09:25:27.227852 : Epoch  4, Batch   2907, Loss  0.899345, Average Loss  0.869310, Time  0.174206
2021-09-11 09:25:28.059373 : Epoch  3, Batch   1835, Loss  0.863657, Average Loss  0.871307, Time  0.238926
2021-09-11 09:25:28.825029 : Epoch  4, Batch   2908, Loss  0.883879, Average Loss  0.869592, Time  0.169542
2021-09-11 09:25:30.446836 : Epoch  4, Batch   2909, Loss  0.853673, Average Loss  0.869651, Time  0.180247
2021-09-11 09:25:30.658379 : Epoch  3, Batch   1836, Loss  0.869395, Average Loss  0.871300, Time  0.237088
2021-09-11 09:25:32.053827 : Epoch  4, Batch   2910, Loss  0.885486, Average Loss  0.869640, Time  0.170438
2021-09-11 09:25:33.235403 : Epoch  3, Batch   1837, Loss  0.854937, Average Loss  0.871233, Time  0.237120
2021-09-11 09:25:33.640431 : Epoch  4, Batch   2911, Loss  0.881884, Average Loss  0.869719, Time  0.169819
2021-09-11 09:25:35.223740 : Epoch  4, Batch   2912, Loss  0.862543, Average Loss  0.869708, Time  0.170094
2021-09-11 09:25:35.828233 : Epoch  3, Batch   1838, Loss  0.875577, Average Loss  0.871230, Time  0.237839
2021-09-11 09:25:36.839815 : Epoch  4, Batch   2913, Loss  0.854785, Average Loss  0.869674, Time  0.177834
2021-09-11 09:25:38.408869 : Epoch  3, Batch   1839, Loss  0.859812, Average Loss  0.871076, Time  0.237306
2021-09-11 09:25:38.433822 : Epoch  4, Batch   2914, Loss  0.904148, Average Loss  0.869936, Time  0.173905
2021-09-11 09:25:40.083915 : Epoch  4, Batch   2915, Loss  0.885557, Average Loss  0.869914, Time  0.183068
2021-09-11 09:25:41.008980 : Epoch  3, Batch   1840, Loss  0.874559, Average Loss  0.871177, Time  0.240379
2021-09-11 09:25:41.688742 : Epoch  4, Batch   2916, Loss  0.880358, Average Loss  0.869926, Time  0.174583
2021-09-11 09:25:43.290982 : Epoch  4, Batch   2917, Loss  0.866407, Average Loss  0.870100, Time  0.178640
2021-09-11 09:25:43.591131 : Epoch  3, Batch   1841, Loss  0.863438, Average Loss  0.871148, Time  0.238534
2021-09-11 09:25:44.899770 : Epoch  4, Batch   2918, Loss  0.853127, Average Loss  0.869942, Time  0.170653
2021-09-11 09:25:46.188806 : Epoch  3, Batch   1842, Loss  0.861245, Average Loss  0.871171, Time  0.240691
2021-09-11 09:25:46.504036 : Epoch  4, Batch   2919, Loss  0.875732, Average Loss  0.869954, Time  0.173704
2021-09-11 09:25:48.103038 : Epoch  4, Batch   2920, Loss  0.852032, Average Loss  0.869810, Time  0.173125
2021-09-11 09:25:48.773849 : Epoch  3, Batch   1843, Loss  0.848088, Average Loss  0.871094, Time  0.237536
2021-09-11 09:25:49.727040 : Epoch  4, Batch   2921, Loss  0.834092, Average Loss  0.869645, Time  0.187899
2021-09-11 09:25:51.346856 : Epoch  4, Batch   2922, Loss  0.877497, Average Loss  0.869672, Time  0.174984
2021-09-11 09:25:51.377666 : Epoch  3, Batch   1844, Loss  0.878586, Average Loss  0.871109, Time  0.237478
2021-09-11 09:25:52.970751 : Epoch  4, Batch   2923, Loss  0.908018, Average Loss  0.869612, Time  0.184223
2021-09-11 09:25:53.971728 : Epoch  3, Batch   1845, Loss  0.844405, Average Loss  0.871059, Time  0.237534
2021-09-11 09:25:54.576765 : Epoch  4, Batch   2924, Loss  0.850043, Average Loss  0.869630, Time  0.170502
2021-09-11 09:25:56.198932 : Epoch  4, Batch   2925, Loss  0.883293, Average Loss  0.869718, Time  0.185647
2021-09-11 09:25:56.557388 : Epoch  3, Batch   1846, Loss  0.865628, Average Loss  0.871060, Time  0.237670
2021-09-11 09:25:57.832798 : Epoch  4, Batch   2926, Loss  0.877731, Average Loss  0.869755, Time  0.169696
2021-09-11 09:25:59.139884 : Epoch  3, Batch   1847, Loss  0.850816, Average Loss  0.870933, Time  0.238714
2021-09-11 09:25:59.468756 : Epoch  4, Batch   2927, Loss  0.869228, Average Loss  0.869695, Time  0.169875
2021-09-11 09:26:01.071822 : Epoch  4, Batch   2928, Loss  0.887424, Average Loss  0.869729, Time  0.177692
2021-09-11 09:26:01.730034 : Epoch  3, Batch   1848, Loss  0.861566, Average Loss  0.870833, Time  0.239408
2021-09-11 09:26:02.670777 : Epoch  4, Batch   2929, Loss  0.883324, Average Loss  0.869803, Time  0.169955
2021-09-11 09:26:04.277751 : Epoch  4, Batch   2930, Loss  0.864174, Average Loss  0.869769, Time  0.169977
2021-09-11 09:26:04.320883 : Epoch  3, Batch   1849, Loss  0.886435, Average Loss  0.870905, Time  0.238171
2021-09-11 09:26:05.905804 : Epoch  4, Batch   2931, Loss  0.892775, Average Loss  0.869844, Time  0.170851
2021-09-11 09:26:06.913863 : Epoch  3, Batch   1850, Loss  0.865564, Average Loss  0.870951, Time  0.237368
2021-09-11 09:26:07.513825 : Epoch  4, Batch   2932, Loss  0.853703, Average Loss  0.869887, Time  0.172658
2021-09-11 09:26:09.125033 : Epoch  4, Batch   2933, Loss  0.877378, Average Loss  0.869999, Time  0.169779
2021-09-11 09:26:09.499894 : Epoch  3, Batch   1851, Loss  0.862703, Average Loss  0.870930, Time  0.237614
2021-09-11 09:26:10.731032 : Epoch  4, Batch   2934, Loss  0.864648, Average Loss  0.870038, Time  0.169741
2021-09-11 09:26:12.088862 : Epoch  3, Batch   1852, Loss  0.854899, Average Loss  0.870833, Time  0.238834
2021-09-11 09:26:12.342812 : Epoch  4, Batch   2935, Loss  0.877202, Average Loss  0.870132, Time  0.177251
2021-09-11 09:26:13.942918 : Epoch  4, Batch   2936, Loss  0.863603, Average Loss  0.870070, Time  0.175448
2021-09-11 09:26:14.683823 : Epoch  3, Batch   1853, Loss  0.863743, Average Loss  0.870828, Time  0.238087
2021-09-11 09:26:15.542759 : Epoch  4, Batch   2937, Loss  0.876010, Average Loss  0.870111, Time  0.170227
2021-09-11 09:26:17.133745 : Epoch  4, Batch   2938, Loss  0.875140, Average Loss  0.870083, Time  0.169592
2021-09-11 09:26:17.270015 : Epoch  3, Batch   1854, Loss  0.902646, Average Loss  0.870973, Time  0.237574
2021-09-11 09:26:18.748747 : Epoch  4, Batch   2939, Loss  0.898055, Average Loss  0.870250, Time  0.172256
2021-09-11 09:26:19.851392 : Epoch  3, Batch   1855, Loss  0.874786, Average Loss  0.870947, Time  0.237298
2021-09-11 09:26:20.363791 : Epoch  4, Batch   2940, Loss  0.882550, Average Loss  0.870216, Time  0.173587
2021-09-11 09:26:21.989861 : Epoch  4, Batch   2941, Loss  0.850180, Average Loss  0.870170, Time  0.169688
2021-09-11 09:26:22.448584 : Epoch  3, Batch   1856, Loss  0.876821, Average Loss  0.870916, Time  0.238405
2021-09-11 09:26:22.482610 : Saving Model after 3-th Epoch.
2021-09-11 09:26:23.508619 : Epoch Finished.
2021-09-11 09:26:23.576042 : Epoch  4, Batch   2942, Loss  0.862755, Average Loss  0.870103, Time  0.169690
2021-09-11 09:26:25.206296 : Epoch  4, Batch   2943, Loss  0.863186, Average Loss  0.869852, Time  0.169769
2021-09-11 09:26:26.823835 : Epoch  4, Batch   2944, Loss  0.877175, Average Loss  0.870085, Time  0.169853
2021-09-11 09:26:28.460844 : Epoch  4, Batch   2945, Loss  0.870005, Average Loss  0.870197, Time  0.179028
2021-09-11 09:26:30.107034 : Epoch  4, Batch   2946, Loss  0.865956, Average Loss  0.870254, Time  0.178636
2021-09-11 09:26:31.716752 : Epoch  4, Batch   2947, Loss  0.866846, Average Loss  0.870225, Time  0.175542
2021-09-11 09:26:32.225600 : Batch Shuffled
2021-09-11 09:26:33.350035 : Epoch  4, Batch   2948, Loss  0.876524, Average Loss  0.870122, Time  0.193857
2021-09-11 09:26:34.834095 : Epoch  4, Batch      1, Loss  0.857617, Average Loss  0.870866, Time  0.272032
2021-09-11 09:26:34.955861 : Epoch  4, Batch   2949, Loss  0.867032, Average Loss  0.870005, Time  0.169683
2021-09-11 09:26:36.579025 : Epoch  4, Batch   2950, Loss  0.869524, Average Loss  0.870094, Time  0.179685
2021-09-11 09:26:37.418898 : Epoch  4, Batch      2, Loss  0.874665, Average Loss  0.870740, Time  0.246413
2021-09-11 09:26:38.188032 : Epoch  4, Batch   2951, Loss  0.876373, Average Loss  0.870275, Time  0.170063
2021-09-11 09:26:39.810032 : Epoch  4, Batch   2952, Loss  0.870707, Average Loss  0.870251, Time  0.169875
2021-09-11 09:26:39.997966 : Epoch  4, Batch      3, Loss  0.856860, Average Loss  0.870583, Time  0.237466
2021-09-11 09:26:41.430024 : Epoch  4, Batch   2953, Loss  0.830216, Average Loss  0.870069, Time  0.170176
2021-09-11 09:26:42.563414 : Epoch  4, Batch      4, Loss  0.874704, Average Loss  0.870704, Time  0.237684
2021-09-11 09:26:43.046040 : Epoch  4, Batch   2954, Loss  0.867454, Average Loss  0.870204, Time  0.172369
2021-09-11 09:26:44.640805 : Epoch  4, Batch   2955, Loss  0.867082, Average Loss  0.870170, Time  0.174233
2021-09-11 09:26:45.133819 : Epoch  4, Batch      5, Loss  0.863448, Average Loss  0.870675, Time  0.237628
2021-09-11 09:26:46.261024 : Epoch  4, Batch   2956, Loss  0.865356, Average Loss  0.870126, Time  0.173458
2021-09-11 09:26:47.711068 : Epoch  4, Batch      6, Loss  0.888067, Average Loss  0.870721, Time  0.237535
2021-09-11 09:26:47.898837 : Epoch  4, Batch   2957, Loss  0.881183, Average Loss  0.870216, Time  0.181668
2021-09-11 09:26:49.502763 : Epoch  4, Batch   2958, Loss  0.898917, Average Loss  0.870437, Time  0.175073
2021-09-11 09:26:50.288869 : Epoch  4, Batch      7, Loss  0.875887, Average Loss  0.870784, Time  0.238659
2021-09-11 09:26:51.111837 : Epoch  4, Batch   2959, Loss  0.852099, Average Loss  0.870454, Time  0.174704
2021-09-11 09:26:52.715037 : Epoch  4, Batch   2960, Loss  0.882946, Average Loss  0.870486, Time  0.178951
2021-09-11 09:26:52.865973 : Epoch  4, Batch      8, Loss  0.877153, Average Loss  0.870767, Time  0.237408
2021-09-11 09:26:54.311025 : Epoch  4, Batch   2961, Loss  0.864621, Average Loss  0.870412, Time  0.169817
2021-09-11 09:26:55.434428 : Epoch  4, Batch      9, Loss  0.892244, Average Loss  0.870851, Time  0.237108
2021-09-11 09:26:55.909341 : Epoch  4, Batch   2962, Loss  0.851051, Average Loss  0.870355, Time  0.173908
2021-09-11 09:26:57.528737 : Epoch  4, Batch   2963, Loss  0.861807, Average Loss  0.870418, Time  0.184657
2021-09-11 09:26:58.022476 : Epoch  4, Batch     10, Loss  0.872442, Average Loss  0.870914, Time  0.237784
2021-09-11 09:26:59.141759 : Epoch  4, Batch   2964, Loss  0.889874, Average Loss  0.870496, Time  0.169888
2021-09-11 09:27:00.602215 : Epoch  4, Batch     11, Loss  0.870440, Average Loss  0.870841, Time  0.237522
2021-09-11 09:27:00.768902 : Epoch  4, Batch   2965, Loss  0.866959, Average Loss  0.870455, Time  0.171045
2021-09-11 09:27:02.392883 : Epoch  4, Batch   2966, Loss  0.877489, Average Loss  0.870284, Time  0.172623
2021-09-11 09:27:03.178888 : Epoch  4, Batch     12, Loss  0.891682, Average Loss  0.870948, Time  0.237451
2021-09-11 09:27:04.019798 : Epoch  4, Batch   2967, Loss  0.880125, Average Loss  0.870397, Time  0.181872
2021-09-11 09:27:05.765422 : Epoch  4, Batch     13, Loss  0.870630, Average Loss  0.870950, Time  0.238482
2021-09-11 09:27:08.353851 : Epoch  4, Batch     14, Loss  0.883471, Average Loss  0.871065, Time  0.238240
2021-09-11 09:27:10.942801 : Epoch  4, Batch     15, Loss  0.872048, Average Loss  0.871105, Time  0.238354
2021-09-11 09:27:13.530397 : Epoch  4, Batch     16, Loss  0.858978, Average Loss  0.870982, Time  0.237249
2021-09-11 09:27:16.114903 : Epoch  4, Batch     17, Loss  0.869717, Average Loss  0.870992, Time  0.237989
2021-09-11 09:27:18.687385 : Epoch  4, Batch     18, Loss  0.894190, Average Loss  0.871179, Time  0.238075
2021-09-11 09:27:21.264873 : Epoch  4, Batch     19, Loss  0.864627, Average Loss  0.871130, Time  0.237593
2021-09-11 09:27:23.845133 : Epoch  4, Batch     20, Loss  0.869765, Average Loss  0.871057, Time  0.237438
2021-09-11 09:27:26.420835 : Epoch  4, Batch     21, Loss  0.850243, Average Loss  0.870929, Time  0.237356
2021-09-11 09:27:28.997918 : Epoch  4, Batch     22, Loss  0.868672, Average Loss  0.871027, Time  0.238312
2021-09-11 09:27:31.587373 : Epoch  4, Batch     23, Loss  0.860761, Average Loss  0.870968, Time  0.240540
2021-09-11 09:27:34.177410 : Epoch  4, Batch     24, Loss  0.874059, Average Loss  0.870877, Time  0.237960
2021-09-11 09:27:36.760834 : Epoch  4, Batch     25, Loss  0.869253, Average Loss  0.870898, Time  0.237295
2021-09-11 09:27:39.343837 : Epoch  4, Batch     26, Loss  0.867529, Average Loss  0.870895, Time  0.237995
2021-09-11 09:27:41.929489 : Epoch  4, Batch     27, Loss  0.899480, Average Loss  0.871051, Time  0.237345
2021-09-11 09:27:44.504238 : Epoch  4, Batch     28, Loss  0.875059, Average Loss  0.871075, Time  0.240456
2021-09-11 09:27:47.084076 : Epoch  4, Batch     29, Loss  0.890576, Average Loss  0.871118, Time  0.238218
2021-09-11 09:27:49.672821 : Epoch  4, Batch     30, Loss  0.871213, Average Loss  0.870966, Time  0.239407
2021-09-11 09:27:52.249881 : Epoch  4, Batch     31, Loss  0.862423, Average Loss  0.871036, Time  0.240520
2021-09-11 09:27:54.856017 : Epoch  4, Batch     32, Loss  0.870868, Average Loss  0.871067, Time  0.240234
2021-09-11 09:31:43.520123 : CheckPoint: Validation Loss  0.00059759, Best Loss  0.00057296
2021-09-11 09:31:45.142787 : Epoch  4, Batch   2968, Loss  0.875268, Average Loss  0.870468, Time  0.177793
2021-09-11 09:31:46.771748 : Epoch  4, Batch   2969, Loss  0.861872, Average Loss  0.870397, Time  0.170795
2021-09-11 09:31:48.384011 : Epoch  4, Batch   2970, Loss  0.860739, Average Loss  0.870233, Time  0.174499
2021-09-11 09:31:49.999785 : Epoch  4, Batch   2971, Loss  0.839039, Average Loss  0.870058, Time  0.170046
2021-09-11 09:31:51.592747 : Epoch  4, Batch   2972, Loss  0.861219, Average Loss  0.870034, Time  0.172635
2021-09-11 09:31:53.218744 : Epoch  4, Batch   2973, Loss  0.868854, Average Loss  0.869929, Time  0.194766
2021-09-11 09:31:54.829771 : Epoch  4, Batch   2974, Loss  0.851880, Average Loss  0.869856, Time  0.175155
2021-09-11 09:31:56.452745 : Epoch  4, Batch   2975, Loss  0.871029, Average Loss  0.869803, Time  0.169796
2021-09-11 09:31:57.192525 : CheckPoint: Validation Loss  0.00030227, Best Loss  0.00029019
2021-09-11 09:31:58.077027 : Epoch  4, Batch   2976, Loss  0.833577, Average Loss  0.869526, Time  0.174672
2021-09-11 09:31:59.727845 : Epoch  4, Batch   2977, Loss  0.876107, Average Loss  0.869593, Time  0.186688
2021-09-11 09:31:59.828062 : Epoch  4, Batch     33, Loss  0.886162, Average Loss  0.871300, Time  0.267256
2021-09-11 09:32:01.369033 : Epoch  4, Batch   2978, Loss  0.877604, Average Loss  0.869707, Time  0.172917
2021-09-11 09:32:02.422900 : Epoch  4, Batch     34, Loss  0.858078, Average Loss  0.871168, Time  0.250064
2021-09-11 09:32:02.984801 : Epoch  4, Batch   2979, Loss  0.878324, Average Loss  0.869774, Time  0.175986
2021-09-11 09:32:04.603020 : Epoch  4, Batch   2980, Loss  0.874252, Average Loss  0.869817, Time  0.174148
2021-09-11 09:32:05.018332 : Epoch  4, Batch     35, Loss  0.853636, Average Loss  0.871064, Time  0.238300
2021-09-11 09:32:06.213776 : Epoch  4, Batch   2981, Loss  0.833752, Average Loss  0.869586, Time  0.177758
2021-09-11 09:32:07.594175 : Epoch  4, Batch     36, Loss  0.875438, Average Loss  0.871034, Time  0.237610
2021-09-11 09:32:07.865882 : Epoch  4, Batch   2982, Loss  0.859153, Average Loss  0.869484, Time  0.173570
2021-09-11 09:32:09.484753 : Epoch  4, Batch   2983, Loss  0.871492, Average Loss  0.869445, Time  0.169588
2021-09-11 09:32:10.167039 : Epoch  4, Batch     37, Loss  0.846418, Average Loss  0.870995, Time  0.237649
2021-09-11 09:32:11.099752 : Epoch  4, Batch   2984, Loss  0.870535, Average Loss  0.869203, Time  0.173777
2021-09-11 09:32:12.689750 : Epoch  4, Batch   2985, Loss  0.880023, Average Loss  0.869243, Time  0.170085
2021-09-11 09:32:12.740901 : Epoch  4, Batch     38, Loss  0.881552, Average Loss  0.871116, Time  0.238413
2021-09-11 09:32:14.298787 : Epoch  4, Batch   2986, Loss  0.898249, Average Loss  0.869387, Time  0.172879
2021-09-11 09:32:15.306993 : Epoch  4, Batch     39, Loss  0.876148, Average Loss  0.871200, Time  0.237305
2021-09-11 09:32:15.914032 : Epoch  4, Batch   2987, Loss  0.895348, Average Loss  0.869441, Time  0.172858
2021-09-11 09:32:17.517837 : Epoch  4, Batch   2988, Loss  0.841257, Average Loss  0.869256, Time  0.173586
2021-09-11 09:32:17.882057 : Epoch  4, Batch     40, Loss  0.884459, Average Loss  0.871248, Time  0.238713
2021-09-11 09:32:19.114028 : Epoch  4, Batch   2989, Loss  0.867116, Average Loss  0.869092, Time  0.169757
2021-09-11 09:32:20.475940 : Epoch  4, Batch     41, Loss  0.850442, Average Loss  0.871035, Time  0.238103
2021-09-11 09:32:20.725792 : Epoch  4, Batch   2990, Loss  0.855847, Average Loss  0.869013, Time  0.175008
2021-09-11 09:32:22.312745 : Epoch  4, Batch   2991, Loss  0.877008, Average Loss  0.869147, Time  0.172054
2021-09-11 09:32:23.053395 : Epoch  4, Batch     42, Loss  0.848715, Average Loss  0.870964, Time  0.237463
2021-09-11 09:32:23.917814 : Epoch  4, Batch   2992, Loss  0.869059, Average Loss  0.869160, Time  0.170254
2021-09-11 09:32:25.517780 : Epoch  4, Batch   2993, Loss  0.884368, Average Loss  0.869220, Time  0.169826
2021-09-11 09:32:25.618003 : Epoch  4, Batch     43, Loss  0.867816, Average Loss  0.871004, Time  0.237802
2021-09-11 09:32:27.098794 : Epoch  4, Batch   2994, Loss  0.889008, Average Loss  0.869421, Time  0.170054
2021-09-11 09:32:28.215425 : Epoch  4, Batch     44, Loss  0.874817, Average Loss  0.871060, Time  0.237709
2021-09-11 09:32:28.691808 : Epoch  4, Batch   2995, Loss  0.882520, Average Loss  0.869527, Time  0.170681
2021-09-11 09:32:30.299790 : Epoch  4, Batch   2996, Loss  0.872026, Average Loss  0.869447, Time  0.173769
2021-09-11 09:32:30.780791 : Epoch  4, Batch     45, Loss  0.854480, Average Loss  0.870933, Time  0.239291
2021-09-11 09:32:31.897766 : Epoch  4, Batch   2997, Loss  0.849908, Average Loss  0.869410, Time  0.170533
2021-09-11 09:32:33.370071 : Epoch  4, Batch     46, Loss  0.846950, Average Loss  0.870742, Time  0.237440
2021-09-11 09:32:33.514783 : Epoch  4, Batch   2998, Loss  0.874210, Average Loss  0.869416, Time  0.178415
2021-09-11 09:32:35.119784 : Epoch  4, Batch   2999, Loss  0.859153, Average Loss  0.869324, Time  0.174305
2021-09-11 09:32:35.962878 : Epoch  4, Batch     47, Loss  0.839559, Average Loss  0.870669, Time  0.240867
2021-09-11 09:32:36.730030 : Epoch  4, Batch   3000, Loss  0.894218, Average Loss  0.869467, Time  0.178522
2021-09-11 09:32:38.336797 : Epoch  4, Batch   3001, Loss  0.889518, Average Loss  0.869638, Time  0.171640
2021-09-11 09:32:38.565829 : Epoch  4, Batch     48, Loss  0.855868, Average Loss  0.870541, Time  0.237827
2021-09-11 09:32:39.951034 : Epoch  4, Batch   3002, Loss  0.859283, Average Loss  0.869443, Time  0.169978
2021-09-11 09:32:41.138977 : Epoch  4, Batch     49, Loss  0.868219, Average Loss  0.870424, Time  0.238615
2021-09-11 09:32:41.543737 : Epoch  4, Batch   3003, Loss  0.865092, Average Loss  0.869452, Time  0.176647
2021-09-11 09:32:43.144772 : Epoch  4, Batch   3004, Loss  0.837380, Average Loss  0.869187, Time  0.169856
2021-09-11 09:32:43.715871 : Epoch  4, Batch     50, Loss  0.878630, Average Loss  0.870435, Time  0.237475
2021-09-11 09:32:44.769950 : Epoch  4, Batch   3005, Loss  0.893122, Average Loss  0.869373, Time  0.169816
2021-09-11 09:32:46.289901 : Epoch  4, Batch     51, Loss  0.837187, Average Loss  0.870153, Time  0.240736
2021-09-11 09:32:46.362034 : Epoch  4, Batch   3006, Loss  0.844658, Average Loss  0.869229, Time  0.175242
2021-09-11 09:32:47.992831 : Epoch  4, Batch   3007, Loss  0.860097, Average Loss  0.869114, Time  0.182181
2021-09-11 09:32:48.862401 : Epoch  4, Batch     52, Loss  0.858169, Average Loss  0.870085, Time  0.237176
2021-09-11 09:32:49.588863 : Epoch  4, Batch   3008, Loss  0.880766, Average Loss  0.869147, Time  0.187259
2021-09-11 09:32:51.184738 : Epoch  4, Batch   3009, Loss  0.868078, Average Loss  0.869156, Time  0.172570
2021-09-11 09:32:51.437087 : Epoch  4, Batch     53, Loss  0.872138, Average Loss  0.870109, Time  0.237345
2021-09-11 09:32:52.779040 : Epoch  4, Batch   3010, Loss  0.868487, Average Loss  0.869232, Time  0.171209
2021-09-11 09:32:54.009824 : Epoch  4, Batch     54, Loss  0.863895, Average Loss  0.870008, Time  0.239019
2021-09-11 09:32:54.360841 : Epoch  4, Batch   3011, Loss  0.887003, Average Loss  0.869234, Time  0.169684
2021-09-11 09:32:55.955922 : Epoch  4, Batch   3012, Loss  0.879649, Average Loss  0.869315, Time  0.170419
2021-09-11 09:32:56.583944 : Epoch  4, Batch     55, Loss  0.868839, Average Loss  0.870024, Time  0.237540
2021-09-11 09:32:57.553747 : Epoch  4, Batch   3013, Loss  0.893813, Average Loss  0.869398, Time  0.170606
2021-09-11 09:32:59.167798 : Epoch  4, Batch     56, Loss  0.851149, Average Loss  0.869905, Time  0.245219
2021-09-11 09:33:00.745774 : Epoch  4, Batch   3015, Loss  0.895081, Average Loss  0.869316, Time  0.172330
2021-09-11 09:33:01.754856 : Epoch  4, Batch     57, Loss  0.877271, Average Loss  0.869948, Time  0.237420
2021-09-11 09:33:02.370747 : Epoch  4, Batch   3016, Loss  0.854497, Average Loss  0.869405, Time  0.178451
2021-09-11 09:33:03.955040 : Epoch  4, Batch   3017, Loss  0.809285, Average Loss  0.869105, Time  0.169684
2021-09-11 09:33:04.321353 : Epoch  4, Batch     58, Loss  0.871416, Average Loss  0.869960, Time  0.237535
2021-09-11 09:33:05.543024 : Epoch  4, Batch   3018, Loss  0.889734, Average Loss  0.869206, Time  0.176330
2021-09-11 09:33:06.893341 : Epoch  4, Batch     59, Loss  0.884789, Average Loss  0.870055, Time  0.238159
2021-09-11 09:33:07.150799 : Epoch  4, Batch   3019, Loss  0.884447, Average Loss  0.869327, Time  0.170355
2021-09-11 09:33:08.750033 : Epoch  4, Batch   3020, Loss  0.870672, Average Loss  0.869211, Time  0.173615
2021-09-11 09:33:09.472567 : Epoch  4, Batch     60, Loss  0.876663, Average Loss  0.870109, Time  0.236893
2021-09-11 09:33:10.361739 : Epoch  4, Batch   3021, Loss  0.850190, Average Loss  0.869216, Time  0.170777
2021-09-11 09:33:11.958771 : Epoch  4, Batch   3022, Loss  0.900410, Average Loss  0.869405, Time  0.169856
2021-09-11 09:33:12.045895 : Epoch  4, Batch     61, Loss  0.838106, Average Loss  0.869967, Time  0.238170
2021-09-11 09:33:13.565030 : Epoch  4, Batch   3023, Loss  0.871322, Average Loss  0.869426, Time  0.177052
2021-09-11 09:33:14.627015 : Epoch  4, Batch     62, Loss  0.878769, Average Loss  0.870050, Time  0.237924
2021-09-11 09:33:15.186029 : Epoch  4, Batch   3024, Loss  0.856239, Average Loss  0.869484, Time  0.180531
2021-09-11 09:33:16.783887 : Epoch  4, Batch   3025, Loss  0.865476, Average Loss  0.869542, Time  0.172300
2021-09-11 09:33:17.205573 : Epoch  4, Batch     63, Loss  0.869179, Average Loss  0.869944, Time  0.238410
2021-09-11 09:33:18.390035 : Epoch  4, Batch   3026, Loss  0.852810, Average Loss  0.869526, Time  0.176789
2021-09-11 09:33:19.779923 : Epoch  4, Batch     64, Loss  0.880307, Average Loss  0.869969, Time  0.238137
2021-09-11 09:33:20.016036 : Epoch  4, Batch   3027, Loss  0.872997, Average Loss  0.869536, Time  0.170004
2021-09-11 09:33:21.597853 : Epoch  4, Batch   3028, Loss  0.901858, Average Loss  0.869716, Time  0.175991
2021-09-11 09:33:22.359356 : Epoch  4, Batch     65, Loss  0.881125, Average Loss  0.870039, Time  0.237792
2021-09-11 09:33:23.213026 : Epoch  4, Batch   3029, Loss  0.846165, Average Loss  0.869648, Time  0.169971
2021-09-11 09:33:24.809028 : Epoch  4, Batch   3030, Loss  0.870653, Average Loss  0.869696, Time  0.174438
2021-09-11 09:33:24.931289 : Epoch  4, Batch     66, Loss  0.893510, Average Loss  0.870208, Time  0.237340
2021-09-11 09:33:26.406794 : Epoch  4, Batch   3031, Loss  0.866904, Average Loss  0.869606, Time  0.176246
2021-09-11 09:33:27.508872 : Epoch  4, Batch     67, Loss  0.860338, Average Loss  0.870267, Time  0.239010
2021-09-11 09:33:28.024858 : Epoch  4, Batch   3032, Loss  0.869961, Average Loss  0.869642, Time  0.180301
2021-09-11 09:33:29.627755 : Epoch  4, Batch   3033, Loss  0.864811, Average Loss  0.869812, Time  0.180565
2021-09-11 09:33:30.079864 : Epoch  4, Batch     68, Loss  0.893839, Average Loss  0.870392, Time  0.237401
2021-09-11 09:33:31.226735 : Epoch  4, Batch   3034, Loss  0.843767, Average Loss  0.869738, Time  0.171009
2021-09-11 09:33:32.654366 : Epoch  4, Batch     69, Loss  0.855805, Average Loss  0.870307, Time  0.237479
2021-09-11 09:33:32.835059 : Epoch  4, Batch   3035, Loss  0.878598, Average Loss  0.869667, Time  0.175478
2021-09-11 09:33:34.417055 : Epoch  4, Batch   3036, Loss  0.851092, Average Loss  0.869595, Time  0.169809
2021-09-11 09:33:35.223850 : Epoch  4, Batch     70, Loss  0.859129, Average Loss  0.870223, Time  0.237205
2021-09-11 09:33:36.000769 : Epoch  4, Batch   3037, Loss  0.884626, Average Loss  0.869714, Time  0.170707
2021-09-11 09:33:37.650749 : Epoch  4, Batch   3038, Loss  0.872723, Average Loss  0.869845, Time  0.177227
2021-09-11 09:33:37.800042 : Epoch  4, Batch     71, Loss  0.876193, Average Loss  0.870191, Time  0.238555
2021-09-11 09:33:39.287031 : Epoch  4, Batch   3039, Loss  0.862326, Average Loss  0.869809, Time  0.176253
2021-09-11 09:33:40.363102 : Epoch  4, Batch     72, Loss  0.860964, Average Loss  0.870175, Time  0.237462
2021-09-11 09:33:40.878227 : Epoch  4, Batch   3040, Loss  0.850921, Average Loss  0.869655, Time  0.169828
2021-09-11 09:33:42.495800 : Epoch  4, Batch   3041, Loss  0.913071, Average Loss  0.869891, Time  0.178378
2021-09-11 09:33:42.952963 : Epoch  4, Batch     73, Loss  0.861855, Average Loss  0.870207, Time  0.240710
2021-09-11 09:33:44.093794 : Epoch  4, Batch   3042, Loss  0.889387, Average Loss  0.869996, Time  0.169795
2021-09-11 09:33:45.534540 : Epoch  4, Batch     74, Loss  0.877967, Average Loss  0.870279, Time  0.237894
2021-09-11 09:33:45.746019 : Epoch  4, Batch   3043, Loss  0.859423, Average Loss  0.870029, Time  0.186125
2021-09-11 09:33:47.346835 : Epoch  4, Batch   3044, Loss  0.858131, Average Loss  0.869818, Time  0.171478
2021-09-11 09:33:48.107968 : Epoch  4, Batch     75, Loss  0.863211, Average Loss  0.870333, Time  0.238276
2021-09-11 09:33:48.932791 : Epoch  4, Batch   3045, Loss  0.865326, Average Loss  0.869852, Time  0.172185
2021-09-11 09:33:50.545035 : Epoch  4, Batch   3046, Loss  0.898218, Average Loss  0.870018, Time  0.176360
2021-09-11 09:33:50.685890 : Epoch  4, Batch     76, Loss  0.866265, Average Loss  0.870195, Time  0.238007
2021-09-11 09:33:52.167763 : Epoch  4, Batch   3047, Loss  0.878710, Average Loss  0.870039, Time  0.175933
2021-09-11 09:33:53.249566 : Epoch  4, Batch     77, Loss  0.872174, Average Loss  0.870224, Time  0.237175
2021-09-11 09:33:53.799033 : Epoch  4, Batch   3048, Loss  0.845834, Average Loss  0.870125, Time  0.169973
2021-09-11 09:33:55.421028 : Epoch  4, Batch   3049, Loss  0.877971, Average Loss  0.870152, Time  0.176537
2021-09-11 09:33:55.840865 : Epoch  4, Batch     78, Loss  0.869422, Average Loss  0.870336, Time  0.239959
2021-09-11 09:33:57.027946 : Epoch  4, Batch   3050, Loss  0.866982, Average Loss  0.870130, Time  0.171571
2021-09-11 09:33:58.409365 : Epoch  4, Batch     79, Loss  0.879067, Average Loss  0.870274, Time  0.237865
2021-09-11 09:33:58.628804 : Epoch  4, Batch   3051, Loss  0.856884, Average Loss  0.870142, Time  0.178387
2021-09-11 09:34:00.221039 : Epoch  4, Batch   3052, Loss  0.844860, Average Loss  0.870024, Time  0.170892
2021-09-11 09:34:00.994024 : Epoch  4, Batch     80, Loss  0.858023, Average Loss  0.870284, Time  0.237567
2021-09-11 09:34:01.827926 : Epoch  4, Batch   3053, Loss  0.892840, Average Loss  0.870072, Time  0.173355
2021-09-11 09:34:03.466030 : Epoch  4, Batch   3054, Loss  0.865968, Average Loss  0.870082, Time  0.186280
2021-09-11 09:34:03.572956 : Epoch  4, Batch     81, Loss  0.873805, Average Loss  0.870179, Time  0.237636
2021-09-11 09:34:05.070739 : Epoch  4, Batch   3055, Loss  0.878409, Average Loss  0.870141, Time  0.177227
2021-09-11 09:34:06.149079 : Epoch  4, Batch     82, Loss  0.854998, Average Loss  0.869991, Time  0.237476
2021-09-11 09:34:06.677752 : Epoch  4, Batch   3056, Loss  0.869150, Average Loss  0.870079, Time  0.170623
2021-09-11 09:34:08.332812 : Epoch  4, Batch   3057, Loss  0.848753, Average Loss  0.870046, Time  0.198575
2021-09-11 09:34:08.735885 : Epoch  4, Batch     83, Loss  0.860568, Average Loss  0.869987, Time  0.239389
2021-09-11 09:34:09.947032 : Epoch  4, Batch   3058, Loss  0.882707, Average Loss  0.869997, Time  0.174489
2021-09-11 09:34:11.385356 : Epoch  4, Batch     84, Loss  0.852257, Average Loss  0.869885, Time  0.236966
2021-09-11 09:34:11.559862 : Epoch  4, Batch   3059, Loss  0.852792, Average Loss  0.869767, Time  0.170312
2021-09-11 09:34:13.148751 : Epoch  4, Batch   3060, Loss  0.870277, Average Loss  0.869784, Time  0.172792
2021-09-11 09:34:13.988435 : Epoch  4, Batch     85, Loss  0.859877, Average Loss  0.869794, Time  0.237713
2021-09-11 09:34:14.769827 : Epoch  4, Batch   3061, Loss  0.861998, Average Loss  0.869842, Time  0.179980
2021-09-11 09:34:16.270772 : Epoch  4, Batch   3062, Loss  0.857008, Average Loss  0.869881, Time  0.163745
2021-09-11 09:34:16.585844 : Epoch  4, Batch     86, Loss  0.879859, Average Loss  0.869867, Time  0.238342
2021-09-11 09:34:17.886035 : Epoch  4, Batch   3063, Loss  0.883588, Average Loss  0.870253, Time  0.177076
2021-09-11 09:34:19.157389 : Epoch  4, Batch     87, Loss  0.868338, Average Loss  0.869799, Time  0.247347
2021-09-11 09:34:19.506733 : Epoch  4, Batch   3064, Loss  0.868060, Average Loss  0.870224, Time  0.187881
2021-09-11 09:34:21.092744 : Epoch  4, Batch   3065, Loss  0.843038, Average Loss  0.870026, Time  0.170028
2021-09-11 09:34:21.738812 : Epoch  4, Batch     88, Loss  0.864312, Average Loss  0.869777, Time  0.237545
2021-09-11 09:34:22.688027 : Epoch  4, Batch   3066, Loss  0.863224, Average Loss  0.870058, Time  0.169928
2021-09-11 09:34:24.285943 : Epoch  4, Batch   3067, Loss  0.862388, Average Loss  0.869980, Time  0.169976
2021-09-11 09:34:24.317111 : Epoch  4, Batch     89, Loss  0.895269, Average Loss  0.869909, Time  0.237814
2021-09-11 09:34:26.877393 : Epoch  4, Batch     90, Loss  0.871884, Average Loss  0.869943, Time  0.237330
2021-09-11 09:34:29.489395 : Epoch  4, Batch     91, Loss  0.868326, Average Loss  0.869980, Time  0.239353
2021-09-11 09:34:32.058867 : Epoch  4, Batch     92, Loss  0.885723, Average Loss  0.869977, Time  0.237309
2021-09-11 09:34:34.627374 : Epoch  4, Batch     93, Loss  0.885862, Average Loss  0.869953, Time  0.236830
2021-09-11 09:34:37.199832 : Epoch  4, Batch     94, Loss  0.876276, Average Loss  0.869943, Time  0.237327
2021-09-11 09:34:39.790193 : Epoch  4, Batch     95, Loss  0.860177, Average Loss  0.869847, Time  0.240602
2021-09-11 09:34:42.363977 : Epoch  4, Batch     96, Loss  0.862130, Average Loss  0.869762, Time  0.237401
2021-09-11 09:34:44.944007 : Epoch  4, Batch     97, Loss  0.895894, Average Loss  0.869991, Time  0.240287
2021-09-11 09:34:47.512385 : Epoch  4, Batch     98, Loss  0.875152, Average Loss  0.869959, Time  0.237698
2021-09-11 09:34:50.089831 : Epoch  4, Batch     99, Loss  0.887609, Average Loss  0.870036, Time  0.238933
2021-09-11 09:34:52.671343 : Epoch  4, Batch    100, Loss  0.891213, Average Loss  0.870180, Time  0.237380
2021-09-11 09:34:55.242345 : Epoch  4, Batch    101, Loss  0.851242, Average Loss  0.870084, Time  0.236953
2021-09-11 09:34:57.815054 : Epoch  4, Batch    102, Loss  0.841022, Average Loss  0.869996, Time  0.237406
2021-09-11 09:35:00.395392 : Epoch  4, Batch    103, Loss  0.865268, Average Loss  0.869963, Time  0.237169
2021-09-11 09:35:02.969428 : Epoch  4, Batch    104, Loss  0.865325, Average Loss  0.869993, Time  0.237385
2021-09-11 09:35:05.547124 : Epoch  4, Batch    105, Loss  0.855374, Average Loss  0.869837, Time  0.237582
2021-09-11 09:35:08.142196 : Epoch  4, Batch    106, Loss  0.871473, Average Loss  0.869829, Time  0.237804
2021-09-11 09:35:10.735802 : Epoch  4, Batch    107, Loss  0.867298, Average Loss  0.869727, Time  0.238438
2021-09-11 09:35:13.308974 : Epoch  4, Batch    108, Loss  0.851650, Average Loss  0.869638, Time  0.237336
2021-09-11 09:35:15.883435 : Epoch  4, Batch    109, Loss  0.859982, Average Loss  0.869580, Time  0.238349
2021-09-11 09:35:18.463867 : Epoch  4, Batch    110, Loss  0.872024, Average Loss  0.869582, Time  0.241324
2021-09-11 09:35:21.044163 : Epoch  4, Batch    111, Loss  0.883878, Average Loss  0.869774, Time  0.238397
2021-09-11 09:35:23.627360 : Epoch  4, Batch    112, Loss  0.878746, Average Loss  0.869774, Time  0.237096
2021-09-11 09:35:26.205040 : Epoch  4, Batch    113, Loss  0.879207, Average Loss  0.869874, Time  0.237366
2021-09-11 09:35:28.783931 : Epoch  4, Batch    114, Loss  0.874306, Average Loss  0.869957, Time  0.240857
2021-09-11 09:35:31.367932 : Epoch  4, Batch    115, Loss  0.855435, Average Loss  0.869906, Time  0.237266
2021-09-11 09:35:33.940842 : Epoch  4, Batch    116, Loss  0.847243, Average Loss  0.869868, Time  0.237285
2021-09-11 09:35:36.515062 : Epoch  4, Batch    117, Loss  0.862768, Average Loss  0.869962, Time  0.237686
2021-09-11 09:35:39.094998 : Epoch  4, Batch    118, Loss  0.865799, Average Loss  0.869954, Time  0.237601
2021-09-11 09:35:41.695292 : Epoch  4, Batch    119, Loss  0.864143, Average Loss  0.869823, Time  0.237689
2021-09-11 09:35:44.275402 : Epoch  4, Batch    120, Loss  0.881263, Average Loss  0.869879, Time  0.238635
2021-09-11 09:35:46.857834 : Epoch  4, Batch    121, Loss  0.885216, Average Loss  0.870071, Time  0.237809
2021-09-11 09:35:49.432195 : Epoch  4, Batch    122, Loss  0.835626, Average Loss  0.869906, Time  0.237092
2021-09-11 09:35:52.009829 : Epoch  4, Batch    123, Loss  0.891828, Average Loss  0.869972, Time  0.238918
2021-09-11 09:35:54.586132 : Epoch  4, Batch    124, Loss  0.862693, Average Loss  0.869953, Time  0.238529
2021-09-11 09:35:57.186966 : Epoch  4, Batch    125, Loss  0.876518, Average Loss  0.869981, Time  0.237468
2021-09-11 09:35:59.761407 : Epoch  4, Batch    126, Loss  0.873623, Average Loss  0.869985, Time  0.237223
2021-09-11 09:36:02.365091 : Epoch  4, Batch    127, Loss  0.856730, Average Loss  0.869779, Time  0.237482
2021-09-11 09:36:04.951084 : Epoch  4, Batch    128, Loss  0.874750, Average Loss  0.869759, Time  0.237643
2021-09-11 09:36:07.543356 : Epoch  4, Batch    129, Loss  0.858402, Average Loss  0.869586, Time  0.237126
2021-09-11 09:36:10.120900 : Epoch  4, Batch    130, Loss  0.860340, Average Loss  0.869563, Time  0.239987
2021-09-11 09:36:12.701388 : Epoch  4, Batch    131, Loss  0.896810, Average Loss  0.869713, Time  0.238394
2021-09-11 09:36:15.273873 : Epoch  4, Batch    132, Loss  0.868924, Average Loss  0.869720, Time  0.237393
2021-09-11 09:39:04.838729 : CheckPoint: Validation Loss  0.00060323, Best Loss  0.00057296
2021-09-11 09:39:06.449932 : Epoch  4, Batch   3068, Loss  0.885666, Average Loss  0.870075, Time  0.184797
2021-09-11 09:39:08.046749 : Epoch  4, Batch   3069, Loss  0.830828, Average Loss  0.869830, Time  0.175539
2021-09-11 09:39:09.652082 : Epoch  4, Batch   3070, Loss  0.876138, Average Loss  0.870012, Time  0.172836
2021-09-11 09:39:11.235778 : Epoch  4, Batch   3071, Loss  0.877788, Average Loss  0.870084, Time  0.175770
2021-09-11 09:39:12.831018 : Epoch  4, Batch   3072, Loss  0.831598, Average Loss  0.869825, Time  0.173537
2021-09-11 09:39:14.451027 : Epoch  4, Batch   3073, Loss  0.861627, Average Loss  0.869863, Time  0.184174
2021-09-11 09:39:16.096059 : Epoch  4, Batch   3074, Loss  0.865424, Average Loss  0.869913, Time  0.183105
2021-09-11 09:39:17.718866 : Epoch  4, Batch   3075, Loss  0.886254, Average Loss  0.870038, Time  0.173967
2021-09-11 09:39:19.349021 : Epoch  4, Batch   3076, Loss  0.875891, Average Loss  0.870067, Time  0.174602
2021-09-11 09:39:20.959028 : Epoch  4, Batch   3077, Loss  0.860768, Average Loss  0.869872, Time  0.169772
2021-09-11 09:39:22.587029 : Epoch  4, Batch   3078, Loss  0.867827, Average Loss  0.869948, Time  0.170670
2021-09-11 09:39:24.219035 : Epoch  4, Batch   3079, Loss  0.855114, Average Loss  0.869929, Time  0.171940
2021-09-11 09:39:25.840027 : Epoch  4, Batch   3080, Loss  0.876372, Average Loss  0.869806, Time  0.174950
2021-09-11 09:39:27.469031 : Epoch  4, Batch   3081, Loss  0.844253, Average Loss  0.869763, Time  0.176389
2021-09-11 09:39:29.083382 : Epoch  4, Batch   3082, Loss  0.880901, Average Loss  0.869926, Time  0.173325
2021-09-11 09:39:30.689031 : Epoch  4, Batch   3083, Loss  0.848111, Average Loss  0.869784, Time  0.169727
2021-09-11 09:39:32.296855 : Epoch  4, Batch   3084, Loss  0.844107, Average Loss  0.869678, Time  0.170437
2021-09-11 09:39:33.904035 : Epoch  4, Batch   3085, Loss  0.867416, Average Loss  0.869664, Time  0.182756
2021-09-11 09:39:35.515036 : Epoch  4, Batch   3086, Loss  0.893564, Average Loss  0.869736, Time  0.173905
2021-09-11 09:39:37.143762 : Epoch  4, Batch   3087, Loss  0.878255, Average Loss  0.869710, Time  0.175076
2021-09-11 09:39:38.767036 : Epoch  4, Batch   3088, Loss  0.843537, Average Loss  0.869468, Time  0.173573
2021-09-11 09:39:40.390916 : Epoch  4, Batch   3089, Loss  0.868573, Average Loss  0.869250, Time  0.176818
2021-09-11 09:39:41.997027 : Epoch  4, Batch   3090, Loss  0.871668, Average Loss  0.869225, Time  0.169548
2021-09-11 09:39:43.612776 : Epoch  4, Batch   3091, Loss  0.880347, Average Loss  0.869296, Time  0.169824
2021-09-11 09:39:45.239024 : Epoch  4, Batch   3092, Loss  0.887704, Average Loss  0.869198, Time  0.169799
2021-09-11 09:39:46.882039 : Epoch  4, Batch   3093, Loss  0.868733, Average Loss  0.869184, Time  0.173977
2021-09-11 09:39:48.507833 : Epoch  4, Batch   3094, Loss  0.876585, Average Loss  0.869135, Time  0.170062
2021-09-11 09:39:50.106032 : Epoch  4, Batch   3095, Loss  0.872842, Average Loss  0.869217, Time  0.169786
2021-09-11 09:39:51.726768 : Epoch  4, Batch   3096, Loss  0.870125, Average Loss  0.869204, Time  0.172760
2021-09-11 09:39:53.359035 : Epoch  4, Batch   3097, Loss  0.863181, Average Loss  0.869226, Time  0.172880
2021-09-11 09:39:55.008871 : Epoch  4, Batch   3098, Loss  0.870603, Average Loss  0.869278, Time  0.182832
2021-09-11 09:39:56.657030 : Epoch  4, Batch   3099, Loss  0.888103, Average Loss  0.869358, Time  0.178817
2021-09-11 09:39:58.296796 : Epoch  4, Batch   3100, Loss  0.891656, Average Loss  0.869433, Time  0.173409
2021-09-11 09:39:59.926727 : Epoch  4, Batch   3101, Loss  0.868907, Average Loss  0.869506, Time  0.169913
2021-09-11 09:40:01.569767 : Epoch  4, Batch   3102, Loss  0.863036, Average Loss  0.869371, Time  0.178674
2021-09-11 09:40:03.183037 : Epoch  4, Batch   3103, Loss  0.864986, Average Loss  0.869351, Time  0.173318
2021-09-11 09:40:04.865945 : Epoch  4, Batch   3104, Loss  0.893551, Average Loss  0.869545, Time  0.174138
2021-09-11 09:40:06.487037 : Epoch  4, Batch   3105, Loss  0.857562, Average Loss  0.869473, Time  0.174675
2021-09-11 09:40:08.101768 : Epoch  4, Batch   3106, Loss  0.874773, Average Loss  0.869496, Time  0.170243
2021-09-11 09:40:09.703910 : Epoch  4, Batch   3107, Loss  0.858050, Average Loss  0.869290, Time  0.171117
2021-09-11 09:40:11.312790 : Epoch  4, Batch   3108, Loss  0.871638, Average Loss  0.869228, Time  0.169927
2021-09-11 09:40:12.910036 : Epoch  4, Batch   3109, Loss  0.875933, Average Loss  0.869340, Time  0.169986
2021-09-11 09:40:14.531786 : Epoch  4, Batch   3110, Loss  0.865517, Average Loss  0.869240, Time  0.170251
2021-09-11 09:40:16.141031 : Epoch  4, Batch   3111, Loss  0.888352, Average Loss  0.869272, Time  0.178264
2021-09-11 09:40:17.544494 : CheckPoint: Validation Loss  0.00029921, Best Loss  0.00029019
2021-09-11 09:40:17.786919 : Epoch  4, Batch   3112, Loss  0.850765, Average Loss  0.869213, Time  0.175973
2021-09-11 09:40:19.405069 : Epoch  4, Batch   3113, Loss  0.878131, Average Loss  0.869330, Time  0.170537
2021-09-11 09:40:20.132205 : Epoch  4, Batch    133, Loss  0.893282, Average Loss  0.869765, Time  0.240149
2021-09-11 09:40:21.039045 : Epoch  4, Batch   3114, Loss  0.853912, Average Loss  0.869079, Time  0.177897
2021-09-11 09:40:22.686887 : Epoch  4, Batch   3115, Loss  0.848057, Average Loss  0.868891, Time  0.176596
2021-09-11 09:40:22.708980 : Epoch  4, Batch    134, Loss  0.896754, Average Loss  0.869991, Time  0.237221
2021-09-11 09:40:24.302032 : Epoch  4, Batch   3116, Loss  0.870060, Average Loss  0.868840, Time  0.172296
2021-09-11 09:40:25.299301 : Epoch  4, Batch    135, Loss  0.871086, Average Loss  0.870091, Time  0.237312
2021-09-11 09:40:25.916037 : Epoch  4, Batch   3117, Loss  0.866880, Average Loss  0.868842, Time  0.172870
2021-09-11 09:40:27.550029 : Epoch  4, Batch   3118, Loss  0.839131, Average Loss  0.868772, Time  0.181039
2021-09-11 09:40:27.917339 : Epoch  4, Batch    136, Loss  0.863699, Average Loss  0.869966, Time  0.256391
2021-09-11 09:40:29.148029 : Epoch  4, Batch   3119, Loss  0.887737, Average Loss  0.868832, Time  0.171832
2021-09-11 09:40:30.494797 : Epoch  4, Batch    137, Loss  0.889524, Average Loss  0.869984, Time  0.238457
2021-09-11 09:40:30.761039 : Epoch  4, Batch   3120, Loss  0.863866, Average Loss  0.868891, Time  0.170115
2021-09-11 09:40:32.350311 : Epoch  4, Batch   3121, Loss  0.853603, Average Loss  0.868989, Time  0.170343
2021-09-11 09:40:33.074912 : Epoch  4, Batch    138, Loss  0.869740, Average Loss  0.870001, Time  0.237299
2021-09-11 09:40:33.951022 : Epoch  4, Batch   3122, Loss  0.853480, Average Loss  0.868869, Time  0.178100
2021-09-11 09:40:35.552094 : Epoch  4, Batch   3123, Loss  0.878460, Average Loss  0.868721, Time  0.178626
2021-09-11 09:40:35.653833 : Epoch  4, Batch    139, Loss  0.867024, Average Loss  0.870051, Time  0.237763
2021-09-11 09:40:37.150755 : Epoch  4, Batch   3124, Loss  0.848683, Average Loss  0.868714, Time  0.169606
2021-09-11 09:40:38.230992 : Epoch  4, Batch    140, Loss  0.862469, Average Loss  0.869949, Time  0.237663
2021-09-11 09:40:38.763842 : Epoch  4, Batch   3125, Loss  0.859623, Average Loss  0.868596, Time  0.169937
2021-09-11 09:40:40.401019 : Epoch  4, Batch   3126, Loss  0.868440, Average Loss  0.868549, Time  0.169991
2021-09-11 09:40:40.818167 : Epoch  4, Batch    141, Loss  0.866799, Average Loss  0.869926, Time  0.237455
2021-09-11 09:40:42.037030 : Epoch  4, Batch   3127, Loss  0.879194, Average Loss  0.868599, Time  0.172804
2021-09-11 09:40:43.402383 : Epoch  4, Batch    142, Loss  0.864956, Average Loss  0.870012, Time  0.238006
2021-09-11 09:40:43.654018 : Epoch  4, Batch   3128, Loss  0.845998, Average Loss  0.868392, Time  0.176304
2021-09-11 09:40:45.291760 : Epoch  4, Batch   3129, Loss  0.873642, Average Loss  0.868344, Time  0.173099
2021-09-11 09:40:45.979810 : Epoch  4, Batch    143, Loss  0.886813, Average Loss  0.870178, Time  0.238729
2021-09-11 09:40:46.920013 : Epoch  4, Batch   3130, Loss  0.843609, Average Loss  0.868241, Time  0.182220
2021-09-11 09:40:48.538811 : Epoch  4, Batch   3131, Loss  0.847026, Average Loss  0.868012, Time  0.174782
2021-09-11 09:40:48.566562 : Epoch  4, Batch    144, Loss  0.855567, Average Loss  0.870116, Time  0.238070
2021-09-11 09:40:50.174034 : Epoch  4, Batch   3132, Loss  0.843510, Average Loss  0.867961, Time  0.174303
2021-09-11 09:40:51.149858 : Epoch  4, Batch    145, Loss  0.847589, Average Loss  0.870019, Time  0.237691
2021-09-11 09:40:51.757778 : Epoch  4, Batch   3133, Loss  0.865099, Average Loss  0.867900, Time  0.170070
2021-09-11 09:40:53.344832 : Epoch  4, Batch   3134, Loss  0.870948, Average Loss  0.867931, Time  0.177473
2021-09-11 09:40:53.729345 : Epoch  4, Batch    146, Loss  0.858184, Average Loss  0.869883, Time  0.237016
2021-09-11 09:40:54.996764 : Epoch  4, Batch   3135, Loss  0.893274, Average Loss  0.868012, Time  0.175920
2021-09-11 09:40:56.295176 : Epoch  4, Batch    147, Loss  0.855227, Average Loss  0.869822, Time  0.237254
2021-09-11 09:40:56.608854 : Epoch  4, Batch   3136, Loss  0.881697, Average Loss  0.868102, Time  0.171477
2021-09-11 09:40:58.227811 : Epoch  4, Batch   3137, Loss  0.846020, Average Loss  0.867952, Time  0.170411
2021-09-11 09:40:58.876891 : Epoch  4, Batch    148, Loss  0.899139, Average Loss  0.869994, Time  0.237205
2021-09-11 09:40:59.864053 : Epoch  4, Batch   3138, Loss  0.853697, Average Loss  0.867845, Time  0.170683
2021-09-11 09:41:01.489797 : Epoch  4, Batch   3139, Loss  0.884862, Average Loss  0.867779, Time  0.177212
2021-09-11 09:41:03.163054 : Epoch  4, Batch   3140, Loss  0.847872, Average Loss  0.867606, Time  0.187722
2021-09-11 09:41:04.060362 : Epoch  4, Batch    150, Loss  0.882599, Average Loss  0.870011, Time  0.238953
2021-09-11 09:41:04.786062 : Epoch  4, Batch   3141, Loss  0.832823, Average Loss  0.867519, Time  0.173458
2021-09-11 09:41:06.424039 : Epoch  4, Batch   3142, Loss  0.892005, Average Loss  0.867665, Time  0.173013
2021-09-11 09:41:06.654859 : Epoch  4, Batch    151, Loss  0.882077, Average Loss  0.870080, Time  0.237535
2021-09-11 09:41:08.037760 : Epoch  4, Batch   3143, Loss  0.854504, Average Loss  0.867622, Time  0.170158
2021-09-11 09:41:09.230984 : Epoch  4, Batch    152, Loss  0.867182, Average Loss  0.870051, Time  0.237920
2021-09-11 09:41:09.660088 : Epoch  4, Batch   3144, Loss  0.850723, Average Loss  0.867489, Time  0.173255
2021-09-11 09:41:11.296064 : Epoch  4, Batch   3145, Loss  0.875822, Average Loss  0.867518, Time  0.177747
2021-09-11 09:41:11.836006 : Epoch  4, Batch    153, Loss  0.849468, Average Loss  0.869923, Time  0.238661
2021-09-11 09:41:12.901042 : Epoch  4, Batch   3146, Loss  0.831573, Average Loss  0.867347, Time  0.174136
2021-09-11 09:41:14.425850 : Epoch  4, Batch    154, Loss  0.862796, Average Loss  0.869840, Time  0.242192
2021-09-11 09:41:14.531110 : Epoch  4, Batch   3147, Loss  0.904427, Average Loss  0.867534, Time  0.170114
2021-09-11 09:41:16.127063 : Epoch  4, Batch   3148, Loss  0.865482, Average Loss  0.867479, Time  0.170904
2021-09-11 09:41:16.999011 : Epoch  4, Batch    155, Loss  0.893677, Average Loss  0.869942, Time  0.237695
2021-09-11 09:41:17.737952 : Epoch  4, Batch   3149, Loss  0.850065, Average Loss  0.867394, Time  0.170273
2021-09-11 09:41:19.359046 : Epoch  4, Batch   3150, Loss  0.854883, Average Loss  0.867321, Time  0.179694
2021-09-11 09:41:19.576406 : Epoch  4, Batch    156, Loss  0.869503, Average Loss  0.869980, Time  0.237696
2021-09-11 09:41:20.997032 : Epoch  4, Batch   3151, Loss  0.869365, Average Loss  0.867286, Time  0.181286
2021-09-11 09:41:22.151098 : Epoch  4, Batch    157, Loss  0.860601, Average Loss  0.869883, Time  0.237329
2021-09-11 09:41:22.625046 : Epoch  4, Batch   3152, Loss  0.886006, Average Loss  0.867363, Time  0.175776
2021-09-11 09:41:24.226082 : Epoch  4, Batch   3153, Loss  0.865867, Average Loss  0.867541, Time  0.170682
2021-09-11 09:41:24.739873 : Epoch  4, Batch    158, Loss  0.870678, Average Loss  0.869835, Time  0.237406
2021-09-11 09:41:25.831032 : Epoch  4, Batch   3154, Loss  0.879264, Average Loss  0.867600, Time  0.169896
2021-09-11 09:41:27.316843 : Epoch  4, Batch    159, Loss  0.886511, Average Loss  0.869847, Time  0.238071
2021-09-11 09:41:27.467029 : Epoch  4, Batch   3155, Loss  0.867818, Average Loss  0.867604, Time  0.169583
2021-09-11 09:41:29.070035 : Epoch  4, Batch   3156, Loss  0.872195, Average Loss  0.867638, Time  0.177482
2021-09-11 09:41:29.891932 : Epoch  4, Batch    160, Loss  0.895647, Average Loss  0.869954, Time  0.237475
2021-09-11 09:41:30.682040 : Epoch  4, Batch   3157, Loss  0.881737, Average Loss  0.867641, Time  0.174448
2021-09-11 09:41:32.267025 : Epoch  4, Batch   3158, Loss  0.851533, Average Loss  0.867404, Time  0.173713
2021-09-11 09:41:32.474572 : Epoch  4, Batch    161, Loss  0.877338, Average Loss  0.869956, Time  0.237919
2021-09-11 09:41:33.889033 : Epoch  4, Batch   3159, Loss  0.853269, Average Loss  0.867410, Time  0.175418
2021-09-11 09:41:35.058054 : Epoch  4, Batch    162, Loss  0.872386, Average Loss  0.869874, Time  0.237038
2021-09-11 09:41:35.497030 : Epoch  4, Batch   3160, Loss  0.844526, Average Loss  0.867217, Time  0.169967
2021-09-11 09:41:37.094026 : Epoch  4, Batch   3161, Loss  0.853508, Average Loss  0.867162, Time  0.170338
2021-09-11 09:41:37.648221 : Epoch  4, Batch    163, Loss  0.863238, Average Loss  0.869800, Time  0.237271
2021-09-11 09:41:38.711030 : Epoch  4, Batch   3162, Loss  0.875558, Average Loss  0.867284, Time  0.170710
2021-09-11 09:41:40.233402 : Epoch  4, Batch    164, Loss  0.850491, Average Loss  0.869644, Time  0.236977
2021-09-11 09:41:40.320851 : Epoch  4, Batch   3163, Loss  0.863122, Average Loss  0.867291, Time  0.171283
2021-09-11 09:41:41.926736 : Epoch  4, Batch   3164, Loss  0.840786, Average Loss  0.867046, Time  0.175643
2021-09-11 09:41:42.814372 : Epoch  4, Batch    165, Loss  0.872846, Average Loss  0.869686, Time  0.238324
2021-09-11 09:41:43.546764 : Epoch  4, Batch   3165, Loss  0.856237, Average Loss  0.866992, Time  0.182354
2021-09-11 09:41:45.162031 : Epoch  4, Batch   3166, Loss  0.858147, Average Loss  0.866895, Time  0.169799
2021-09-11 09:41:45.394822 : Epoch  4, Batch    166, Loss  0.880955, Average Loss  0.869757, Time  0.237598
2021-09-11 09:41:46.780028 : Epoch  4, Batch   3167, Loss  0.868763, Average Loss  0.866838, Time  0.172262
2021-09-11 09:41:47.972888 : Epoch  4, Batch    167, Loss  0.851679, Average Loss  0.869677, Time  0.239593
2021-09-11 09:41:50.551017 : Epoch  4, Batch    168, Loss  0.877093, Average Loss  0.869648, Time  0.237513
2021-09-11 09:41:53.130573 : Epoch  4, Batch    169, Loss  0.851223, Average Loss  0.869530, Time  0.237767
2021-09-11 09:41:55.730942 : Epoch  4, Batch    170, Loss  0.867022, Average Loss  0.869437, Time  0.237410
2021-09-11 09:41:58.317389 : Epoch  4, Batch    171, Loss  0.899008, Average Loss  0.869552, Time  0.237102
2021-09-11 09:42:00.929849 : Epoch  4, Batch    172, Loss  0.856924, Average Loss  0.869477, Time  0.238087
2021-09-11 09:42:03.509233 : Epoch  4, Batch    173, Loss  0.878663, Average Loss  0.869467, Time  0.237442
2021-09-11 09:42:06.095368 : Epoch  4, Batch    174, Loss  0.861272, Average Loss  0.869412, Time  0.241013
2021-09-11 09:42:08.680839 : Epoch  4, Batch    175, Loss  0.868948, Average Loss  0.869500, Time  0.237833
2021-09-11 09:42:11.272466 : Epoch  4, Batch    176, Loss  0.867937, Average Loss  0.869491, Time  0.238064
2021-09-11 09:42:13.862248 : Epoch  4, Batch    177, Loss  0.877619, Average Loss  0.869493, Time  0.237694
2021-09-11 09:42:16.444938 : Epoch  4, Batch    178, Loss  0.849103, Average Loss  0.869347, Time  0.239675
2021-09-11 09:42:19.024376 : Epoch  4, Batch    179, Loss  0.880590, Average Loss  0.869432, Time  0.237827
2021-09-11 09:42:21.609238 : Epoch  4, Batch    180, Loss  0.879506, Average Loss  0.869483, Time  0.237879
2021-09-11 09:42:24.186777 : Epoch  4, Batch    181, Loss  0.897175, Average Loss  0.869694, Time  0.237973
2021-09-11 09:42:26.767399 : Epoch  4, Batch    182, Loss  0.863552, Average Loss  0.869634, Time  0.237529
2021-09-11 09:42:29.376586 : Epoch  4, Batch    183, Loss  0.872776, Average Loss  0.869699, Time  0.237228
2021-09-11 09:42:31.970950 : Epoch  4, Batch    184, Loss  0.866705, Average Loss  0.869659, Time  0.238562
2021-09-11 09:42:34.554732 : Epoch  4, Batch    185, Loss  0.848272, Average Loss  0.869583, Time  0.237144
2021-09-11 09:42:37.129390 : Epoch  4, Batch    186, Loss  0.878174, Average Loss  0.869668, Time  0.237417
2021-09-11 09:42:39.712602 : Epoch  4, Batch    187, Loss  0.860740, Average Loss  0.869731, Time  0.238293
2021-09-11 09:42:42.292775 : Epoch  4, Batch    188, Loss  0.863173, Average Loss  0.869654, Time  0.238185
2021-09-11 09:42:44.868949 : Epoch  4, Batch    189, Loss  0.883331, Average Loss  0.869849, Time  0.238064
2021-09-11 09:42:47.450358 : Epoch  4, Batch    190, Loss  0.880717, Average Loss  0.869924, Time  0.238055
2021-09-11 09:42:50.040404 : Epoch  4, Batch    191, Loss  0.899987, Average Loss  0.870170, Time  0.238198
2021-09-11 09:42:52.629812 : Epoch  4, Batch    192, Loss  0.887464, Average Loss  0.870300, Time  0.239119
2021-09-11 09:42:55.223382 : Epoch  4, Batch    193, Loss  0.869113, Average Loss  0.870213, Time  0.237786
2021-09-11 09:42:57.812030 : Epoch  4, Batch    194, Loss  0.848803, Average Loss  0.870129, Time  0.237274
2021-09-11 09:43:00.398534 : Epoch  4, Batch    195, Loss  0.857397, Average Loss  0.870103, Time  0.237896
2021-09-11 09:43:02.984041 : Epoch  4, Batch    196, Loss  0.865017, Average Loss  0.870153, Time  0.237375
2021-09-11 09:43:05.576246 : Epoch  4, Batch    197, Loss  0.861434, Average Loss  0.870142, Time  0.237611
2021-09-11 09:43:08.175234 : Epoch  4, Batch    198, Loss  0.856357, Average Loss  0.869910, Time  0.238095
2021-09-11 09:43:10.751876 : Epoch  4, Batch    199, Loss  0.857263, Average Loss  0.869823, Time  0.237466
2021-09-11 09:43:13.356442 : Epoch  4, Batch    200, Loss  0.881435, Average Loss  0.869846, Time  0.237686
2021-09-11 09:43:15.937577 : Epoch  4, Batch    201, Loss  0.850513, Average Loss  0.869810, Time  0.237859
2021-09-11 09:43:18.519384 : Epoch  4, Batch    202, Loss  0.863838, Average Loss  0.869756, Time  0.238081
2021-09-11 09:43:21.093340 : Epoch  4, Batch    203, Loss  0.861404, Average Loss  0.869779, Time  0.237212
2021-09-11 09:43:23.680373 : Epoch  4, Batch    204, Loss  0.861619, Average Loss  0.869714, Time  0.238802
2021-09-11 09:43:26.260040 : Epoch  4, Batch    205, Loss  0.880870, Average Loss  0.869801, Time  0.238734
2021-09-11 09:43:28.835244 : Epoch  4, Batch    206, Loss  0.858100, Average Loss  0.869651, Time  0.237043
2021-09-11 09:43:31.427943 : Epoch  4, Batch    207, Loss  0.848342, Average Loss  0.869513, Time  0.241079
2021-09-11 09:43:34.014797 : Epoch  4, Batch    208, Loss  0.878528, Average Loss  0.869520, Time  0.237384
2021-09-11 09:43:36.588185 : Epoch  4, Batch    209, Loss  0.870844, Average Loss  0.869413, Time  0.238696
2021-09-11 09:43:39.165975 : Epoch  4, Batch    210, Loss  0.873280, Average Loss  0.869417, Time  0.237524
2021-09-11 09:43:41.741333 : Epoch  4, Batch    211, Loss  0.861601, Average Loss  0.869373, Time  0.237086
2021-09-11 09:43:44.319387 : Epoch  4, Batch    212, Loss  0.873321, Average Loss  0.869281, Time  0.237990
2021-09-11 09:43:46.913776 : Epoch  4, Batch    213, Loss  0.871696, Average Loss  0.869286, Time  0.241593
2021-09-11 09:43:49.483978 : Epoch  4, Batch    214, Loss  0.878741, Average Loss  0.869263, Time  0.237393
2021-09-11 09:43:52.056736 : Epoch  4, Batch    215, Loss  0.873729, Average Loss  0.869271, Time  0.237284
2021-09-11 09:43:54.630169 : Epoch  4, Batch    216, Loss  0.864448, Average Loss  0.869299, Time  0.237411
2021-09-11 09:43:57.198098 : Epoch  4, Batch    217, Loss  0.890714, Average Loss  0.869404, Time  0.237121
2021-09-11 09:43:59.776351 : Epoch  4, Batch    218, Loss  0.874292, Average Loss  0.869304, Time  0.238331
2021-09-11 09:44:02.350939 : Epoch  4, Batch    219, Loss  0.875032, Average Loss  0.869356, Time  0.237150
2021-09-11 09:44:04.926173 : Epoch  4, Batch    220, Loss  0.856682, Average Loss  0.869291, Time  0.238034
2021-09-11 09:44:07.533879 : Epoch  4, Batch    221, Loss  0.874018, Average Loss  0.869410, Time  0.238020
2021-09-11 09:44:10.135840 : Epoch  4, Batch    222, Loss  0.886295, Average Loss  0.869498, Time  0.239176
2021-09-11 09:44:12.750928 : Epoch  4, Batch    223, Loss  0.871258, Average Loss  0.869550, Time  0.239372
2021-09-11 09:44:15.336924 : Epoch  4, Batch    224, Loss  0.863437, Average Loss  0.869497, Time  0.238113
2021-09-11 09:44:17.944581 : Epoch  4, Batch    225, Loss  0.874615, Average Loss  0.869524, Time  0.236807
2021-09-11 09:44:20.532379 : Epoch  4, Batch    226, Loss  0.898636, Average Loss  0.869679, Time  0.238430
2021-09-11 09:44:23.115180 : Epoch  4, Batch    227, Loss  0.891423, Average Loss  0.869639, Time  0.241225
2021-09-11 09:44:25.704056 : Epoch  4, Batch    228, Loss  0.866924, Average Loss  0.869598, Time  0.238551
2021-09-11 09:44:28.284860 : Epoch  4, Batch    229, Loss  0.861570, Average Loss  0.869453, Time  0.238583
2021-09-11 09:44:30.879925 : Epoch  4, Batch    230, Loss  0.885212, Average Loss  0.869523, Time  0.238102
2021-09-11 09:44:33.464003 : Epoch  4, Batch    231, Loss  0.867132, Average Loss  0.869547, Time  0.238658
2021-09-11 09:44:36.045537 : Epoch  4, Batch    232, Loss  0.848658, Average Loss  0.869436, Time  0.237641
2021-09-11 09:46:27.917519 : CheckPoint: Validation Loss  0.00059447, Best Loss  0.00057296
2021-09-11 09:46:29.549955 : Epoch  4, Batch   3168, Loss  0.876374, Average Loss  0.866844, Time  0.183787
2021-09-11 09:46:31.160922 : Epoch  4, Batch   3169, Loss  0.862282, Average Loss  0.866846, Time  0.171360
2021-09-11 09:46:32.782728 : Epoch  4, Batch   3170, Loss  0.856324, Average Loss  0.866824, Time  0.174607
2021-09-11 09:46:34.396031 : Epoch  4, Batch   3171, Loss  0.854424, Average Loss  0.866901, Time  0.178629
2021-09-11 09:46:36.004802 : Epoch  4, Batch   3172, Loss  0.851141, Average Loss  0.866850, Time  0.180548
2021-09-11 09:46:37.606023 : Epoch  4, Batch   3173, Loss  0.849141, Average Loss  0.866752, Time  0.173151
2021-09-11 09:46:39.200028 : Epoch  4, Batch   3174, Loss  0.864988, Average Loss  0.866817, Time  0.170307
2021-09-11 09:46:40.840024 : Epoch  4, Batch   3175, Loss  0.873012, Average Loss  0.866827, Time  0.173769
2021-09-11 09:46:42.435877 : Epoch  4, Batch   3176, Loss  0.852910, Average Loss  0.866924, Time  0.173279
2021-09-11 09:46:44.027080 : Epoch  4, Batch   3177, Loss  0.862589, Average Loss  0.866856, Time  0.170897
2021-09-11 09:46:45.626751 : Epoch  4, Batch   3178, Loss  0.854959, Average Loss  0.866743, Time  0.172239
2021-09-11 09:46:47.232037 : Epoch  4, Batch   3179, Loss  0.896958, Average Loss  0.866836, Time  0.170235
2021-09-11 09:46:48.875015 : Epoch  4, Batch   3180, Loss  0.847270, Average Loss  0.866701, Time  0.177104
2021-09-11 09:46:50.505872 : Epoch  4, Batch   3181, Loss  0.886744, Average Loss  0.866966, Time  0.193309
2021-09-11 09:46:52.135778 : Epoch  4, Batch   3182, Loss  0.838870, Average Loss  0.866865, Time  0.175224
2021-09-11 09:46:53.743038 : Epoch  4, Batch   3183, Loss  0.869232, Average Loss  0.866854, Time  0.178459
2021-09-11 09:46:55.354028 : Epoch  4, Batch   3184, Loss  0.863732, Average Loss  0.866820, Time  0.170033
2021-09-11 09:46:56.956029 : Epoch  4, Batch   3185, Loss  0.865233, Average Loss  0.866746, Time  0.173392
2021-09-11 09:46:58.559027 : Epoch  4, Batch   3186, Loss  0.882707, Average Loss  0.866668, Time  0.169961
2021-09-11 09:47:00.174035 : Epoch  4, Batch   3187, Loss  0.851270, Average Loss  0.866448, Time  0.172848
2021-09-11 09:47:01.783761 : Epoch  4, Batch   3188, Loss  0.870276, Average Loss  0.866593, Time  0.174680
2021-09-11 09:47:03.369019 : Epoch  4, Batch   3189, Loss  0.871656, Average Loss  0.866615, Time  0.171792
2021-09-11 09:47:04.984182 : Epoch  4, Batch   3190, Loss  0.859086, Average Loss  0.866632, Time  0.174102
2021-09-11 09:47:06.588051 : Epoch  4, Batch   3191, Loss  0.873795, Average Loss  0.866616, Time  0.171470
2021-09-11 09:47:08.196039 : Epoch  4, Batch   3192, Loss  0.868347, Average Loss  0.866612, Time  0.169864
2021-09-11 09:47:09.802035 : Epoch  4, Batch   3193, Loss  0.888189, Average Loss  0.866631, Time  0.176612
2021-09-11 09:47:11.430878 : Epoch  4, Batch   3194, Loss  0.856376, Average Loss  0.866468, Time  0.172777
2021-09-11 09:47:13.058042 : Epoch  4, Batch   3195, Loss  0.857035, Average Loss  0.866341, Time  0.171156
2021-09-11 09:47:14.695799 : Epoch  4, Batch   3196, Loss  0.871423, Average Loss  0.866338, Time  0.179884
2021-09-11 09:47:16.300029 : Epoch  4, Batch   3197, Loss  0.861713, Average Loss  0.866397, Time  0.173819
2021-09-11 09:47:17.912848 : Epoch  4, Batch   3198, Loss  0.853551, Average Loss  0.866293, Time  0.171868
2021-09-11 09:47:19.533746 : Epoch  4, Batch   3199, Loss  0.860205, Average Loss  0.866299, Time  0.170326
2021-09-11 09:47:21.135029 : Epoch  4, Batch   3200, Loss  0.861571, Average Loss  0.866135, Time  0.169838
2021-09-11 09:47:22.783039 : Epoch  4, Batch   3201, Loss  0.891140, Average Loss  0.866143, Time  0.177234
2021-09-11 09:47:24.406754 : Epoch  4, Batch   3202, Loss  0.891688, Average Loss  0.866305, Time  0.179901
2021-09-11 09:47:26.015026 : Epoch  4, Batch   3203, Loss  0.882095, Average Loss  0.866390, Time  0.177773
2021-09-11 09:47:27.637038 : Epoch  4, Batch   3204, Loss  0.856068, Average Loss  0.866484, Time  0.172222
2021-09-11 09:47:29.247201 : Epoch  4, Batch   3205, Loss  0.912269, Average Loss  0.866580, Time  0.169976
2021-09-11 09:47:30.866023 : Epoch  4, Batch   3206, Loss  0.828789, Average Loss  0.866500, Time  0.176040
2021-09-11 09:47:32.488028 : Epoch  4, Batch   3207, Loss  0.891188, Average Loss  0.866656, Time  0.176108
2021-09-11 09:47:34.128902 : Epoch  4, Batch   3208, Loss  0.853008, Average Loss  0.866517, Time  0.180157
2021-09-11 09:47:35.738033 : Epoch  4, Batch   3209, Loss  0.856035, Average Loss  0.866457, Time  0.179008
2021-09-11 09:47:37.382776 : Epoch  4, Batch   3210, Loss  0.868165, Average Loss  0.866455, Time  0.170442
2021-09-11 09:47:38.996771 : Epoch  4, Batch   3211, Loss  0.870148, Average Loss  0.866371, Time  0.170862
2021-09-11 09:47:40.620914 : Epoch  4, Batch   3212, Loss  0.871280, Average Loss  0.866329, Time  0.175015
2021-09-11 09:47:42.264912 : Epoch  4, Batch   3213, Loss  0.882282, Average Loss  0.866271, Time  0.189792
2021-09-11 09:47:43.887726 : Epoch  4, Batch   3214, Loss  0.878651, Average Loss  0.866399, Time  0.175437
2021-09-11 09:47:45.512887 : Epoch  4, Batch   3215, Loss  0.887906, Average Loss  0.866364, Time  0.173120
2021-09-11 09:47:47.131777 : Epoch  4, Batch   3216, Loss  0.895252, Average Loss  0.866567, Time  0.190936
2021-09-11 09:47:48.760042 : Epoch  4, Batch   3217, Loss  0.868486, Average Loss  0.866863, Time  0.183514
2021-09-11 09:47:50.380030 : Epoch  4, Batch   3218, Loss  0.896232, Average Loss  0.866896, Time  0.178613
2021-09-11 09:47:51.985953 : Epoch  4, Batch   3219, Loss  0.892529, Average Loss  0.866936, Time  0.181351
2021-09-11 09:47:53.562035 : Epoch  4, Batch   3220, Loss  0.883860, Average Loss  0.867002, Time  0.181956
2021-09-11 09:47:55.181027 : Epoch  4, Batch   3221, Loss  0.884499, Average Loss  0.867174, Time  0.177624
2021-09-11 09:47:56.783735 : Epoch  4, Batch   3222, Loss  0.868859, Average Loss  0.867016, Time  0.174328
2021-09-11 09:47:58.393744 : Epoch  4, Batch   3223, Loss  0.871908, Average Loss  0.867019, Time  0.170929
2021-09-11 09:47:59.986755 : Epoch  4, Batch   3224, Loss  0.868288, Average Loss  0.867079, Time  0.171970
2021-09-11 09:48:01.556029 : Epoch  4, Batch   3225, Loss  0.876022, Average Loss  0.867132, Time  0.170439
2021-09-11 09:48:03.175740 : Epoch  4, Batch   3226, Loss  0.855439, Average Loss  0.867145, Time  0.170025
2021-09-11 09:48:04.769864 : Epoch  4, Batch   3227, Loss  0.858589, Average Loss  0.867073, Time  0.170381
2021-09-11 09:48:06.363802 : Epoch  4, Batch   3228, Loss  0.848059, Average Loss  0.866804, Time  0.169724
2021-09-11 09:48:07.985819 : Epoch  4, Batch   3229, Loss  0.860292, Average Loss  0.866875, Time  0.169728
2021-09-11 09:48:09.618904 : Epoch  4, Batch   3230, Loss  0.822250, Average Loss  0.866633, Time  0.170132
2021-09-11 09:48:11.235840 : Epoch  4, Batch   3231, Loss  0.867846, Average Loss  0.866637, Time  0.181423
2021-09-11 09:48:12.844935 : Epoch  4, Batch   3232, Loss  0.850961, Average Loss  0.866542, Time  0.170041
2021-09-11 09:48:14.443835 : Epoch  4, Batch   3233, Loss  0.898389, Average Loss  0.866710, Time  0.169761
2021-09-11 09:48:16.037026 : Epoch  4, Batch   3234, Loss  0.861536, Average Loss  0.866799, Time  0.169905
2021-09-11 09:48:17.646031 : Epoch  4, Batch   3235, Loss  0.853345, Average Loss  0.866673, Time  0.175884
2021-09-11 09:48:19.259757 : Epoch  4, Batch   3236, Loss  0.872522, Average Loss  0.866780, Time  0.172220
2021-09-11 09:48:20.875032 : Epoch  4, Batch   3237, Loss  0.874924, Average Loss  0.866731, Time  0.174011
2021-09-11 09:48:22.535762 : Epoch  4, Batch   3238, Loss  0.893251, Average Loss  0.866834, Time  0.197179
2021-09-11 09:48:24.148024 : Epoch  4, Batch   3239, Loss  0.866477, Average Loss  0.866855, Time  0.170647
2021-09-11 09:48:25.755757 : Epoch  4, Batch   3240, Loss  0.878342, Average Loss  0.866992, Time  0.169654
2021-09-11 09:48:27.355788 : Epoch  4, Batch   3241, Loss  0.867236, Average Loss  0.866763, Time  0.170074
2021-09-11 09:48:28.971031 : Epoch  4, Batch   3242, Loss  0.870592, Average Loss  0.866669, Time  0.175471
2021-09-11 09:48:30.629247 : Epoch  4, Batch   3243, Loss  0.857854, Average Loss  0.866661, Time  0.173109
2021-09-11 09:48:32.243759 : Epoch  4, Batch   3244, Loss  0.837065, Average Loss  0.866556, Time  0.175346
2021-09-11 09:48:33.867782 : Epoch  4, Batch   3245, Loss  0.862044, Average Loss  0.866539, Time  0.170043
2021-09-11 09:48:35.462031 : Epoch  4, Batch   3246, Loss  0.868860, Average Loss  0.866392, Time  0.172539
2021-09-11 09:48:37.086424 : Epoch  4, Batch   3247, Loss  0.874399, Average Loss  0.866371, Time  0.176139
2021-09-11 09:48:38.710846 : Epoch  4, Batch   3248, Loss  0.854838, Average Loss  0.866416, Time  0.172689
2021-09-11 09:48:38.835426 : CheckPoint: Validation Loss  0.00029648, Best Loss  0.00029019
2021-09-11 09:48:40.315863 : Epoch  4, Batch   3249, Loss  0.862281, Average Loss  0.866337, Time  0.172157
2021-09-11 09:48:41.415286 : Epoch  4, Batch    233, Loss  0.878343, Average Loss  0.869397, Time  0.239514
2021-09-11 09:48:41.935027 : Epoch  4, Batch   3250, Loss  0.863690, Average Loss  0.866321, Time  0.174364
2021-09-11 09:48:43.550028 : Epoch  4, Batch   3251, Loss  0.869647, Average Loss  0.866385, Time  0.176587
2021-09-11 09:48:44.009996 : Epoch  4, Batch    234, Loss  0.871906, Average Loss  0.869466, Time  0.237377
2021-09-11 09:48:45.168743 : Epoch  4, Batch   3252, Loss  0.873132, Average Loss  0.866526, Time  0.178499
2021-09-11 09:48:46.596700 : Epoch  4, Batch    235, Loss  0.850200, Average Loss  0.869449, Time  0.237243
2021-09-11 09:48:46.788868 : Epoch  4, Batch   3253, Loss  0.880564, Average Loss  0.866465, Time  0.183886
2021-09-11 09:48:48.401564 : Epoch  4, Batch   3254, Loss  0.853028, Average Loss  0.866400, Time  0.174053
2021-09-11 09:48:49.175210 : Epoch  4, Batch    236, Loss  0.874193, Average Loss  0.869443, Time  0.237061
2021-09-11 09:48:50.008768 : Epoch  4, Batch   3255, Loss  0.880688, Average Loss  0.866411, Time  0.169891
2021-09-11 09:48:51.616924 : Epoch  4, Batch   3256, Loss  0.847366, Average Loss  0.866303, Time  0.174704
2021-09-11 09:48:51.764180 : Epoch  4, Batch    237, Loss  0.877401, Average Loss  0.869597, Time  0.237545
2021-09-11 09:48:53.225027 : Epoch  4, Batch   3257, Loss  0.864792, Average Loss  0.866383, Time  0.169985
2021-09-11 09:48:54.350008 : Epoch  4, Batch    238, Loss  0.861402, Average Loss  0.869497, Time  0.237029
2021-09-11 09:48:54.833838 : Epoch  4, Batch   3258, Loss  0.882276, Average Loss  0.866381, Time  0.174779
2021-09-11 09:48:56.433030 : Epoch  4, Batch   3259, Loss  0.842654, Average Loss  0.866330, Time  0.175168
2021-09-11 09:48:56.943808 : Epoch  4, Batch    239, Loss  0.879953, Average Loss  0.869516, Time  0.238909
2021-09-11 09:48:58.056772 : Epoch  4, Batch   3260, Loss  0.856864, Average Loss  0.866263, Time  0.171142
2021-09-11 09:48:59.526582 : Epoch  4, Batch    240, Loss  0.872966, Average Loss  0.869458, Time  0.237309
2021-09-11 09:48:59.680035 : Epoch  4, Batch   3261, Loss  0.881972, Average Loss  0.866363, Time  0.174489
2021-09-11 09:49:01.278862 : Epoch  4, Batch   3262, Loss  0.870809, Average Loss  0.866432, Time  0.170015
2021-09-11 09:49:02.117363 : Epoch  4, Batch    241, Loss  0.877576, Average Loss  0.869594, Time  0.238997
2021-09-11 09:49:02.890748 : Epoch  4, Batch   3263, Loss  0.828046, Average Loss  0.866154, Time  0.170273
2021-09-11 09:49:04.524033 : Epoch  4, Batch   3264, Loss  0.865302, Average Loss  0.866140, Time  0.187904
2021-09-11 09:49:04.699628 : Epoch  4, Batch    242, Loss  0.870163, Average Loss  0.869701, Time  0.237865
2021-09-11 09:49:06.163773 : Epoch  4, Batch   3265, Loss  0.879934, Average Loss  0.866325, Time  0.180492
2021-09-11 09:49:07.301382 : Epoch  4, Batch    243, Loss  0.885755, Average Loss  0.869791, Time  0.238915
2021-09-11 09:49:07.786025 : Epoch  4, Batch   3266, Loss  0.875662, Average Loss  0.866387, Time  0.173957
2021-09-11 09:49:09.397772 : Epoch  4, Batch   3267, Loss  0.866883, Average Loss  0.866409, Time  0.178847
2021-09-11 09:49:09.884094 : Epoch  4, Batch    244, Loss  0.862662, Average Loss  0.869730, Time  0.238130
2021-09-11 09:49:12.472957 : Epoch  4, Batch    245, Loss  0.871064, Average Loss  0.869813, Time  0.237837
2021-09-11 09:49:15.064361 : Epoch  4, Batch    246, Loss  0.879394, Average Loss  0.869975, Time  0.237759
2021-09-11 09:49:17.646866 : Epoch  4, Batch    247, Loss  0.872945, Average Loss  0.870142, Time  0.239609
2021-09-11 09:49:20.246427 : Epoch  4, Batch    248, Loss  0.874077, Average Loss  0.870233, Time  0.237486
2021-09-11 09:49:22.843022 : Epoch  4, Batch    249, Loss  0.883513, Average Loss  0.870310, Time  0.237867
2021-09-11 09:49:25.428676 : Epoch  4, Batch    250, Loss  0.866531, Average Loss  0.870249, Time  0.238295
2021-09-11 09:49:28.016012 : Epoch  4, Batch    251, Loss  0.872749, Average Loss  0.870427, Time  0.237722
2021-09-11 09:49:30.603827 : Epoch  4, Batch    252, Loss  0.862717, Average Loss  0.870450, Time  0.240639
2021-09-11 09:49:33.192002 : Epoch  4, Batch    253, Loss  0.853023, Average Loss  0.870354, Time  0.237340
2021-09-11 09:49:35.768881 : Epoch  4, Batch    254, Loss  0.885464, Average Loss  0.870462, Time  0.237344
2021-09-11 09:49:38.347044 : Epoch  4, Batch    255, Loss  0.885190, Average Loss  0.870544, Time  0.237500
2021-09-11 09:49:40.941663 : Epoch  4, Batch    256, Loss  0.879045, Average Loss  0.870683, Time  0.237213
2021-09-11 09:49:43.519674 : Epoch  4, Batch    257, Loss  0.865692, Average Loss  0.870625, Time  0.237291
2021-09-11 09:49:46.103384 : Epoch  4, Batch    258, Loss  0.869752, Average Loss  0.870617, Time  0.237762
2021-09-11 09:49:48.705030 : Epoch  4, Batch    259, Loss  0.836754, Average Loss  0.870377, Time  0.243428
2021-09-11 09:49:51.326861 : Epoch  4, Batch    260, Loss  0.873925, Average Loss  0.870363, Time  0.240951
2021-09-11 09:49:53.898409 : Epoch  4, Batch    261, Loss  0.881071, Average Loss  0.870578, Time  0.237381
2021-09-11 09:49:56.495169 : Epoch  4, Batch    262, Loss  0.848792, Average Loss  0.870428, Time  0.237200
2021-09-11 09:49:59.078899 : Epoch  4, Batch    263, Loss  0.873299, Average Loss  0.870449, Time  0.237398
2021-09-11 09:50:01.681952 : Epoch  4, Batch    264, Loss  0.888948, Average Loss  0.870492, Time  0.243035
2021-09-11 09:50:04.276880 : Epoch  4, Batch    265, Loss  0.862243, Average Loss  0.870397, Time  0.238372
2021-09-11 09:50:06.867876 : Epoch  4, Batch    266, Loss  0.884700, Average Loss  0.870353, Time  0.237955
2021-09-11 09:50:09.447109 : Epoch  4, Batch    267, Loss  0.861882, Average Loss  0.870361, Time  0.240131
2021-09-11 09:50:12.037917 : Epoch  4, Batch    268, Loss  0.869862, Average Loss  0.870241, Time  0.241003
2021-09-11 09:50:14.618386 : Epoch  4, Batch    269, Loss  0.867690, Average Loss  0.870301, Time  0.237283
2021-09-11 09:50:17.196495 : Epoch  4, Batch    270, Loss  0.879607, Average Loss  0.870403, Time  0.237530
2021-09-11 09:50:19.795886 : Epoch  4, Batch    271, Loss  0.891647, Average Loss  0.870480, Time  0.238801
2021-09-11 09:50:22.392423 : Epoch  4, Batch    272, Loss  0.876999, Average Loss  0.870561, Time  0.238950
2021-09-11 09:50:24.971641 : Epoch  4, Batch    273, Loss  0.848744, Average Loss  0.870495, Time  0.238323
2021-09-11 09:50:27.548899 : Epoch  4, Batch    274, Loss  0.887538, Average Loss  0.870543, Time  0.237851
2021-09-11 09:50:30.150371 : Epoch  4, Batch    275, Loss  0.871076, Average Loss  0.870582, Time  0.238586
2021-09-11 09:50:32.728464 : Epoch  4, Batch    276, Loss  0.867788, Average Loss  0.870590, Time  0.237731
2021-09-11 09:50:35.340795 : Epoch  4, Batch    277, Loss  0.887251, Average Loss  0.870665, Time  0.239189
2021-09-11 09:50:37.927067 : Epoch  4, Batch    278, Loss  0.878299, Average Loss  0.870710, Time  0.238285
2021-09-11 09:50:40.512930 : Epoch  4, Batch    279, Loss  0.879376, Average Loss  0.870711, Time  0.237130
2021-09-11 09:50:43.097849 : Epoch  4, Batch    280, Loss  0.881054, Average Loss  0.870826, Time  0.239431
2021-09-11 09:50:45.675799 : Epoch  4, Batch    281, Loss  0.888335, Average Loss  0.870899, Time  0.240700
2021-09-11 09:50:48.259397 : Epoch  4, Batch    282, Loss  0.888041, Average Loss  0.871064, Time  0.237321
2021-09-11 09:50:50.841135 : Epoch  4, Batch    283, Loss  0.848828, Average Loss  0.871005, Time  0.237551
2021-09-11 09:50:53.420395 : Epoch  4, Batch    284, Loss  0.886526, Average Loss  0.871177, Time  0.237176
2021-09-11 09:50:55.996028 : Epoch  4, Batch    285, Loss  0.871006, Average Loss  0.871232, Time  0.237588
2021-09-11 09:50:58.577625 : Epoch  4, Batch    286, Loss  0.863443, Average Loss  0.871150, Time  0.238541
2021-09-11 09:51:01.170862 : Epoch  4, Batch    287, Loss  0.880463, Average Loss  0.871211, Time  0.238798
2021-09-11 09:51:03.765061 : Epoch  4, Batch    288, Loss  0.881589, Average Loss  0.871297, Time  0.239388
2021-09-11 09:51:06.349388 : Epoch  4, Batch    289, Loss  0.873285, Average Loss  0.871187, Time  0.238620
2021-09-11 09:51:08.933833 : Epoch  4, Batch    290, Loss  0.882580, Average Loss  0.871241, Time  0.239695
2021-09-11 09:51:11.511705 : Epoch  4, Batch    291, Loss  0.862968, Average Loss  0.871214, Time  0.237793
2021-09-11 09:51:14.091399 : Epoch  4, Batch    292, Loss  0.862815, Average Loss  0.871100, Time  0.239221
2021-09-11 09:51:16.686817 : Epoch  4, Batch    293, Loss  0.881218, Average Loss  0.871076, Time  0.238831
2021-09-11 09:51:19.268402 : Epoch  4, Batch    294, Loss  0.893584, Average Loss  0.871163, Time  0.238072
2021-09-11 09:51:21.851181 : Epoch  4, Batch    295, Loss  0.888954, Average Loss  0.871307, Time  0.237938
2021-09-11 09:51:24.437442 : Epoch  4, Batch    296, Loss  0.857226, Average Loss  0.871282, Time  0.238047
2021-09-11 09:51:27.015156 : Epoch  4, Batch    297, Loss  0.882070, Average Loss  0.871213, Time  0.238575
2021-09-11 09:51:29.594997 : Epoch  4, Batch    298, Loss  0.878378, Average Loss  0.871229, Time  0.238439
2021-09-11 09:51:32.176201 : Epoch  4, Batch    299, Loss  0.887467, Average Loss  0.871229, Time  0.237920
2021-09-11 09:51:34.760246 : Epoch  4, Batch    300, Loss  0.868713, Average Loss  0.871116, Time  0.238302
2021-09-11 09:51:37.342510 : Epoch  4, Batch    301, Loss  0.882679, Average Loss  0.871273, Time  0.237849
2021-09-11 09:51:39.918902 : Epoch  4, Batch    302, Loss  0.886179, Average Loss  0.871499, Time  0.237682
2021-09-11 09:51:42.515121 : Epoch  4, Batch    303, Loss  0.879082, Average Loss  0.871568, Time  0.237853
2021-09-11 09:51:45.094212 : Epoch  4, Batch    304, Loss  0.892277, Average Loss  0.871703, Time  0.238268
2021-09-11 09:51:47.676922 : Epoch  4, Batch    305, Loss  0.877485, Average Loss  0.871813, Time  0.239567
2021-09-11 09:51:50.250333 : Epoch  4, Batch    306, Loss  0.843949, Average Loss  0.871676, Time  0.238598
2021-09-11 09:51:52.828728 : Epoch  4, Batch    307, Loss  0.882646, Average Loss  0.871752, Time  0.237125
2021-09-11 09:51:55.409391 : Epoch  4, Batch    308, Loss  0.880669, Average Loss  0.871898, Time  0.237460
2021-09-11 09:51:57.993880 : Epoch  4, Batch    309, Loss  0.886979, Average Loss  0.872033, Time  0.237962
2021-09-11 09:52:00.569393 : Epoch  4, Batch    310, Loss  0.874407, Average Loss  0.872044, Time  0.238530
2021-09-11 09:52:03.154693 : Epoch  4, Batch    311, Loss  0.871345, Average Loss  0.871982, Time  0.237762
2021-09-11 09:52:05.735010 : Epoch  4, Batch    312, Loss  0.854974, Average Loss  0.871863, Time  0.239234
2021-09-11 09:52:08.318025 : Epoch  4, Batch    313, Loss  0.874683, Average Loss  0.871840, Time  0.239251
2021-09-11 09:52:10.907372 : Epoch  4, Batch    314, Loss  0.880560, Average Loss  0.871872, Time  0.237609
2021-09-11 09:52:13.488033 : Epoch  4, Batch    315, Loss  0.874737, Average Loss  0.871968, Time  0.237542
2021-09-11 09:52:16.064385 : Epoch  4, Batch    316, Loss  0.874347, Average Loss  0.872104, Time  0.237231
2021-09-11 09:52:18.657331 : Epoch  4, Batch    317, Loss  0.867806, Average Loss  0.872129, Time  0.237351
2021-09-11 09:52:21.238261 : Epoch  4, Batch    318, Loss  0.887337, Average Loss  0.872237, Time  0.237742
2021-09-11 09:52:23.823283 : Epoch  4, Batch    319, Loss  0.867187, Average Loss  0.872252, Time  0.239736
2021-09-11 09:52:26.397763 : Epoch  4, Batch    320, Loss  0.872364, Average Loss  0.872207, Time  0.237916
2021-09-11 09:52:28.987943 : Epoch  4, Batch    321, Loss  0.874872, Average Loss  0.872156, Time  0.238593
2021-09-11 09:52:31.575353 : Epoch  4, Batch    322, Loss  0.858353, Average Loss  0.872269, Time  0.238220
2021-09-11 09:52:34.155367 : Epoch  4, Batch    323, Loss  0.870949, Average Loss  0.872165, Time  0.238420
2021-09-11 09:52:36.737365 : Epoch  4, Batch    324, Loss  0.874337, Average Loss  0.872223, Time  0.238503
2021-09-11 09:52:39.314006 : Epoch  4, Batch    325, Loss  0.863747, Average Loss  0.872159, Time  0.237549
2021-09-11 09:52:41.904971 : Epoch  4, Batch    326, Loss  0.868992, Average Loss  0.872136, Time  0.240818
2021-09-11 09:52:44.485902 : Epoch  4, Batch    327, Loss  0.874934, Average Loss  0.872227, Time  0.238510
2021-09-11 09:52:47.072755 : Epoch  4, Batch    328, Loss  0.872658, Average Loss  0.872217, Time  0.237129
2021-09-11 09:52:49.661394 : Epoch  4, Batch    329, Loss  0.852338, Average Loss  0.872186, Time  0.238883
2021-09-11 09:52:52.226927 : Epoch  4, Batch    330, Loss  0.880325, Average Loss  0.872286, Time  0.237768
2021-09-11 09:52:54.823080 : Epoch  4, Batch    331, Loss  0.892906, Average Loss  0.872267, Time  0.237435
2021-09-11 09:52:57.404836 : Epoch  4, Batch    332, Loss  0.857007, Average Loss  0.872207, Time  0.237615
2021-09-11 09:53:49.749715 : CheckPoint: Validation Loss  0.00062229, Best Loss  0.00057296
2021-09-11 09:53:51.349950 : Epoch  4, Batch   3268, Loss  0.871456, Average Loss  0.866338, Time  0.180104
2021-09-11 09:53:52.962920 : Epoch  4, Batch   3269, Loss  0.888333, Average Loss  0.866626, Time  0.173311
2021-09-11 09:53:54.561044 : Epoch  4, Batch   3270, Loss  0.887510, Average Loss  0.866683, Time  0.170384
2021-09-11 09:53:56.159867 : Epoch  4, Batch   3271, Loss  0.878495, Average Loss  0.866686, Time  0.170031
2021-09-11 09:53:57.767025 : Epoch  4, Batch   3272, Loss  0.877662, Average Loss  0.866917, Time  0.172711
2021-09-11 09:53:59.372028 : Epoch  4, Batch   3273, Loss  0.874854, Average Loss  0.866983, Time  0.174930
2021-09-11 09:54:00.979756 : Epoch  4, Batch   3274, Loss  0.823186, Average Loss  0.866772, Time  0.192558
2021-09-11 09:54:02.595036 : Epoch  4, Batch   3275, Loss  0.861648, Average Loss  0.866648, Time  0.173736
2021-09-11 09:54:04.209021 : Epoch  4, Batch   3276, Loss  0.871491, Average Loss  0.866626, Time  0.173599
2021-09-11 09:54:05.794028 : Epoch  4, Batch   3277, Loss  0.877280, Average Loss  0.866709, Time  0.169725
2021-09-11 09:54:07.431864 : Epoch  4, Batch   3278, Loss  0.857777, Average Loss  0.866659, Time  0.179067
2021-09-11 09:54:09.044026 : Epoch  4, Batch   3279, Loss  0.833966, Average Loss  0.866553, Time  0.169631
2021-09-11 09:54:10.657033 : Epoch  4, Batch   3280, Loss  0.878814, Average Loss  0.866565, Time  0.173271
2021-09-11 09:54:12.284031 : Epoch  4, Batch   3281, Loss  0.859217, Average Loss  0.866640, Time  0.170988
2021-09-11 09:54:13.891793 : Epoch  4, Batch   3282, Loss  0.873803, Average Loss  0.866605, Time  0.169948
2021-09-11 09:54:15.510032 : Epoch  4, Batch   3283, Loss  0.873328, Average Loss  0.866731, Time  0.170200
2021-09-11 09:54:17.101026 : Epoch  4, Batch   3284, Loss  0.895012, Average Loss  0.866985, Time  0.173042
2021-09-11 09:54:18.717037 : Epoch  4, Batch   3285, Loss  0.872047, Average Loss  0.867008, Time  0.169771
2021-09-11 09:54:20.324020 : Epoch  4, Batch   3286, Loss  0.878223, Average Loss  0.866932, Time  0.169401
2021-09-11 09:54:21.932036 : Epoch  4, Batch   3287, Loss  0.856671, Average Loss  0.866824, Time  0.173790
2021-09-11 09:54:23.525029 : Epoch  4, Batch   3288, Loss  0.872390, Average Loss  0.866968, Time  0.169492
2021-09-11 09:54:25.111012 : Epoch  4, Batch   3289, Loss  0.905638, Average Loss  0.867153, Time  0.170643
2021-09-11 09:54:26.719076 : Epoch  4, Batch   3290, Loss  0.872104, Average Loss  0.867156, Time  0.169852
2021-09-11 09:54:28.321034 : Epoch  4, Batch   3291, Loss  0.849005, Average Loss  0.866999, Time  0.169977
2021-09-11 09:54:29.923026 : Epoch  4, Batch   3292, Loss  0.891240, Average Loss  0.867016, Time  0.169851
2021-09-11 09:54:31.540831 : Epoch  4, Batch   3293, Loss  0.862719, Average Loss  0.866986, Time  0.171462
2021-09-11 09:54:33.137032 : Epoch  4, Batch   3294, Loss  0.870245, Average Loss  0.866955, Time  0.170635
2021-09-11 09:54:34.757029 : Epoch  4, Batch   3295, Loss  0.900843, Average Loss  0.867095, Time  0.171845
2021-09-11 09:54:36.357027 : Epoch  4, Batch   3296, Loss  0.865266, Average Loss  0.867070, Time  0.171697
2021-09-11 09:54:37.957030 : Epoch  4, Batch   3297, Loss  0.870523, Average Loss  0.867107, Time  0.175539
2021-09-11 09:54:39.571030 : Epoch  4, Batch   3298, Loss  0.853972, Average Loss  0.867024, Time  0.173212
2021-09-11 09:54:41.140023 : Epoch  4, Batch   3299, Loss  0.906973, Average Loss  0.867118, Time  0.170558
2021-09-11 09:54:42.752025 : Epoch  4, Batch   3300, Loss  0.907890, Average Loss  0.867199, Time  0.172112
2021-09-11 09:54:44.360025 : Epoch  4, Batch   3301, Loss  0.867215, Average Loss  0.867191, Time  0.173609
2021-09-11 09:54:45.963848 : Epoch  4, Batch   3302, Loss  0.865683, Average Loss  0.867204, Time  0.180662
2021-09-11 09:54:47.564033 : Epoch  4, Batch   3303, Loss  0.863320, Average Loss  0.867196, Time  0.169866
2021-09-11 09:54:49.145731 : Epoch  4, Batch   3304, Loss  0.882243, Average Loss  0.867139, Time  0.169615
2021-09-11 09:54:50.789025 : Epoch  4, Batch   3305, Loss  0.882174, Average Loss  0.867262, Time  0.171986
2021-09-11 09:54:52.406819 : Epoch  4, Batch   3306, Loss  0.907872, Average Loss  0.867428, Time  0.172187
2021-09-11 09:54:54.001944 : Epoch  4, Batch   3307, Loss  0.857455, Average Loss  0.867425, Time  0.175740
2021-09-11 09:54:55.623035 : Epoch  4, Batch   3308, Loss  0.866907, Average Loss  0.867401, Time  0.170065
2021-09-11 09:54:57.215182 : Epoch  4, Batch   3309, Loss  0.878619, Average Loss  0.867415, Time  0.169874
2021-09-11 09:54:58.790045 : Epoch  4, Batch   3310, Loss  0.899195, Average Loss  0.867583, Time  0.183684
2021-09-11 09:55:00.405881 : Epoch  4, Batch   3311, Loss  0.894863, Average Loss  0.867616, Time  0.180228
2021-09-11 09:55:01.993033 : Epoch  4, Batch   3312, Loss  0.895592, Average Loss  0.867840, Time  0.173171
2021-09-11 09:55:03.601785 : Epoch  4, Batch   3313, Loss  0.857271, Average Loss  0.867736, Time  0.175460
2021-09-11 09:55:05.201926 : Epoch  4, Batch   3314, Loss  0.872309, Average Loss  0.867828, Time  0.176762
2021-09-11 09:55:06.796842 : Epoch  4, Batch   3315, Loss  0.868433, Average Loss  0.867929, Time  0.170649
2021-09-11 09:55:08.378840 : Epoch  4, Batch   3316, Loss  0.880326, Average Loss  0.867981, Time  0.170500
2021-09-11 09:55:09.990778 : Epoch  4, Batch   3317, Loss  0.907687, Average Loss  0.868185, Time  0.170110
2021-09-11 09:55:11.596810 : Epoch  4, Batch   3318, Loss  0.859243, Average Loss  0.868285, Time  0.170641
2021-09-11 09:55:13.209830 : Epoch  4, Batch   3319, Loss  0.861881, Average Loss  0.868156, Time  0.175210
2021-09-11 09:55:14.808038 : Epoch  4, Batch   3320, Loss  0.844736, Average Loss  0.868060, Time  0.172611
2021-09-11 09:55:16.383902 : Epoch  4, Batch   3321, Loss  0.902252, Average Loss  0.868304, Time  0.171192
2021-09-11 09:55:17.987744 : Epoch  4, Batch   3322, Loss  0.887758, Average Loss  0.868475, Time  0.170621
2021-09-11 09:55:19.567034 : Epoch  4, Batch   3323, Loss  0.861304, Average Loss  0.868389, Time  0.171258
2021-09-11 09:55:21.170748 : Epoch  4, Batch   3324, Loss  0.880225, Average Loss  0.868547, Time  0.176006
2021-09-11 09:55:22.773015 : Epoch  4, Batch   3325, Loss  0.864813, Average Loss  0.868573, Time  0.172230
2021-09-11 09:55:24.368763 : Epoch  4, Batch   3326, Loss  0.887776, Average Loss  0.868670, Time  0.171245
2021-09-11 09:55:26.005032 : Epoch  4, Batch   3327, Loss  0.850385, Average Loss  0.868526, Time  0.174017
2021-09-11 09:55:27.627029 : Epoch  4, Batch   3328, Loss  0.871729, Average Loss  0.868654, Time  0.177856
2021-09-11 09:55:29.232022 : Epoch  4, Batch   3329, Loss  0.866848, Average Loss  0.868620, Time  0.169673
2021-09-11 09:55:30.800659 : Epoch  4, Batch   3330, Loss  0.857517, Average Loss  0.868690, Time  0.170661
2021-09-11 09:55:32.388028 : Epoch  4, Batch   3331, Loss  0.859218, Average Loss  0.868751, Time  0.177249
2021-09-11 09:55:34.008037 : Epoch  4, Batch   3332, Loss  0.886140, Average Loss  0.868964, Time  0.179304
2021-09-11 09:55:35.591795 : Epoch  4, Batch   3333, Loss  0.875326, Average Loss  0.869015, Time  0.171610
2021-09-11 09:55:37.189785 : Epoch  4, Batch   3334, Loss  0.863292, Average Loss  0.868977, Time  0.173419
2021-09-11 09:55:38.774043 : Epoch  4, Batch   3335, Loss  0.872633, Average Loss  0.868874, Time  0.169954
2021-09-11 09:55:40.351732 : Epoch  4, Batch   3336, Loss  0.879278, Average Loss  0.868861, Time  0.170002
2021-09-11 09:55:41.955757 : Epoch  4, Batch   3337, Loss  0.871735, Average Loss  0.868990, Time  0.169939
2021-09-11 09:55:43.582758 : Epoch  4, Batch   3338, Loss  0.879862, Average Loss  0.869121, Time  0.175934
2021-09-11 09:55:45.195901 : Epoch  4, Batch   3339, Loss  0.886025, Average Loss  0.869127, Time  0.175371
2021-09-11 09:55:46.793837 : Epoch  4, Batch   3340, Loss  0.853524, Average Loss  0.869155, Time  0.179160
2021-09-11 09:55:48.373882 : Epoch  4, Batch   3341, Loss  0.854430, Average Loss  0.869263, Time  0.173463
2021-09-11 09:55:49.997756 : Epoch  4, Batch   3342, Loss  0.869866, Average Loss  0.869152, Time  0.188417
2021-09-11 09:55:51.616830 : Epoch  4, Batch   3343, Loss  0.872272, Average Loss  0.869241, Time  0.171169
2021-09-11 09:55:53.219835 : Epoch  4, Batch   3344, Loss  0.882999, Average Loss  0.869402, Time  0.169907
2021-09-11 09:55:54.843760 : Epoch  4, Batch   3345, Loss  0.889906, Average Loss  0.869473, Time  0.170229
2021-09-11 09:55:56.459752 : Epoch  4, Batch   3346, Loss  0.874425, Average Loss  0.869687, Time  0.169844
2021-09-11 09:55:58.051783 : Epoch  4, Batch   3347, Loss  0.858306, Average Loss  0.869457, Time  0.170126
2021-09-11 09:55:59.657043 : Epoch  4, Batch   3348, Loss  0.882918, Average Loss  0.869544, Time  0.169782
2021-09-11 09:56:01.296833 : Epoch  4, Batch   3349, Loss  0.891526, Average Loss  0.869751, Time  0.180608
2021-09-11 09:56:02.899079 : Epoch  4, Batch   3350, Loss  0.875374, Average Loss  0.869853, Time  0.172186
2021-09-11 09:56:04.474845 : Epoch  4, Batch   3351, Loss  0.882329, Average Loss  0.869918, Time  0.170458
2021-09-11 09:56:06.085030 : Epoch  4, Batch   3352, Loss  0.926480, Average Loss  0.870121, Time  0.178403
2021-09-11 09:56:07.689040 : Epoch  4, Batch   3353, Loss  0.901565, Average Loss  0.870299, Time  0.174667
2021-09-11 09:56:09.291027 : Epoch  4, Batch   3354, Loss  0.881549, Average Loss  0.870311, Time  0.170366
2021-09-11 09:56:10.878605 : Epoch  4, Batch   3355, Loss  0.872032, Average Loss  0.870332, Time  0.170213
2021-09-11 09:56:12.480764 : Epoch  4, Batch   3356, Loss  0.845230, Average Loss  0.870197, Time  0.170015
2021-09-11 09:56:14.092030 : Epoch  4, Batch   3357, Loss  0.868112, Average Loss  0.870129, Time  0.170939
2021-09-11 09:56:15.688886 : Epoch  4, Batch   3358, Loss  0.892859, Average Loss  0.870335, Time  0.177905
2021-09-11 09:56:17.274748 : Epoch  4, Batch   3359, Loss  0.883350, Average Loss  0.870486, Time  0.170194
2021-09-11 09:56:18.894023 : Epoch  4, Batch   3360, Loss  0.899654, Average Loss  0.870761, Time  0.197374
2021-09-11 09:56:20.484028 : Epoch  4, Batch   3361, Loss  0.889535, Average Loss  0.870942, Time  0.172128
2021-09-11 09:56:22.078031 : Epoch  4, Batch   3362, Loss  0.878791, Average Loss  0.870958, Time  0.171584
2021-09-11 09:56:23.692047 : Epoch  4, Batch   3363, Loss  0.862676, Average Loss  0.870955, Time  0.177870
2021-09-11 09:56:25.280035 : Epoch  4, Batch   3364, Loss  0.839844, Average Loss  0.870951, Time  0.171209
2021-09-11 09:56:26.890790 : Epoch  4, Batch   3365, Loss  0.885491, Average Loss  0.871097, Time  0.182501
2021-09-11 09:56:28.525824 : Epoch  4, Batch   3366, Loss  0.836689, Average Loss  0.870990, Time  0.173478
2021-09-11 09:56:30.129044 : Epoch  4, Batch   3367, Loss  0.883906, Average Loss  0.871065, Time  0.173884
2021-09-11 09:56:59.612738 : CheckPoint: Validation Loss  0.00029461, Best Loss  0.00029019
2021-09-11 09:57:02.209237 : Epoch  4, Batch    333, Loss  0.896734, Average Loss  0.872224, Time  0.238535
2021-09-11 09:57:04.795133 : Epoch  4, Batch    334, Loss  0.867064, Average Loss  0.872076, Time  0.237442
2021-09-11 09:57:07.419608 : Epoch  4, Batch    335, Loss  0.855142, Average Loss  0.871996, Time  0.259747
2021-09-11 09:57:10.008876 : Epoch  4, Batch    336, Loss  0.875033, Average Loss  0.872053, Time  0.237539
2021-09-11 09:57:12.581985 : Epoch  4, Batch    337, Loss  0.833642, Average Loss  0.871773, Time  0.237100
2021-09-11 09:57:15.162806 : Epoch  4, Batch    338, Loss  0.870951, Average Loss  0.871779, Time  0.239771
2021-09-11 09:57:17.748929 : Epoch  4, Batch    339, Loss  0.881581, Average Loss  0.871852, Time  0.237404
2021-09-11 09:57:20.325346 : Epoch  4, Batch    340, Loss  0.848878, Average Loss  0.871784, Time  0.236738
2021-09-11 09:57:22.908029 : Epoch  4, Batch    341, Loss  0.864063, Average Loss  0.871771, Time  0.236845
2021-09-11 09:57:25.524399 : Epoch  4, Batch    342, Loss  0.857926, Average Loss  0.871735, Time  0.237841
2021-09-11 09:57:28.093991 : Epoch  4, Batch    343, Loss  0.857239, Average Loss  0.871588, Time  0.237201
2021-09-11 09:57:30.688929 : Epoch  4, Batch    344, Loss  0.867015, Average Loss  0.871645, Time  0.239625
2021-09-11 09:57:33.261287 : Epoch  4, Batch    345, Loss  0.876004, Average Loss  0.871787, Time  0.237935
2021-09-11 09:57:35.864929 : Epoch  4, Batch    346, Loss  0.888421, Average Loss  0.871938, Time  0.240149
2021-09-11 09:57:38.452383 : Epoch  4, Batch    347, Loss  0.879353, Average Loss  0.872059, Time  0.238587
2021-09-11 09:57:41.026205 : Epoch  4, Batch    348, Loss  0.868258, Average Loss  0.871904, Time  0.237607
2021-09-11 09:57:43.617867 : Epoch  4, Batch    349, Loss  0.868649, Average Loss  0.871895, Time  0.237200
2021-09-11 09:57:46.222808 : Epoch  4, Batch    350, Loss  0.895141, Average Loss  0.871958, Time  0.238512
2021-09-11 09:57:48.812930 : Epoch  4, Batch    351, Loss  0.883985, Average Loss  0.871967, Time  0.238665
2021-09-11 09:57:51.409289 : Epoch  4, Batch    352, Loss  0.871724, Average Loss  0.871990, Time  0.237522
2021-09-11 09:57:54.009394 : Epoch  4, Batch    353, Loss  0.854513, Average Loss  0.872015, Time  0.239727
2021-09-11 09:57:56.582326 : Epoch  4, Batch    354, Loss  0.883220, Average Loss  0.872117, Time  0.237276
2021-09-11 09:57:59.157164 : Epoch  4, Batch    355, Loss  0.866120, Average Loss  0.871980, Time  0.237735
2021-09-11 09:58:01.738056 : Epoch  4, Batch    356, Loss  0.856922, Average Loss  0.871917, Time  0.238889
2021-09-11 09:58:04.316139 : Epoch  4, Batch    357, Loss  0.863416, Average Loss  0.871931, Time  0.237728
2021-09-11 09:58:06.899438 : Epoch  4, Batch    358, Loss  0.869434, Average Loss  0.871925, Time  0.237339
2021-09-11 09:58:09.487111 : Epoch  4, Batch    359, Loss  0.890130, Average Loss  0.871943, Time  0.238775
2021-09-11 09:58:12.073601 : Epoch  4, Batch    360, Loss  0.874399, Average Loss  0.871836, Time  0.237531
2021-09-11 09:58:14.646908 : Epoch  4, Batch    361, Loss  0.870900, Average Loss  0.871804, Time  0.237721
2021-09-11 09:58:17.240119 : Epoch  4, Batch    362, Loss  0.883192, Average Loss  0.871858, Time  0.237110
2021-09-11 09:58:19.816599 : Epoch  4, Batch    363, Loss  0.881040, Average Loss  0.871947, Time  0.237133
2021-09-11 09:58:22.399400 : Epoch  4, Batch    364, Loss  0.869519, Average Loss  0.872042, Time  0.238142
2021-09-11 09:58:24.986816 : Epoch  4, Batch    365, Loss  0.855182, Average Loss  0.871954, Time  0.237970
2021-09-11 09:58:27.565389 : Epoch  4, Batch    366, Loss  0.874598, Average Loss  0.871922, Time  0.237108
2021-09-11 09:58:30.136102 : Epoch  4, Batch    367, Loss  0.862972, Average Loss  0.871979, Time  0.237247
2021-09-11 09:58:32.731384 : Epoch  4, Batch    368, Loss  0.870399, Average Loss  0.871945, Time  0.237066
2021-09-11 09:58:35.308576 : Epoch  4, Batch    369, Loss  0.888027, Average Loss  0.872129, Time  0.237156
2021-09-11 09:58:37.901328 : Epoch  4, Batch    370, Loss  0.861612, Average Loss  0.872102, Time  0.237371
2021-09-11 09:58:40.480396 : Epoch  4, Batch    371, Loss  0.877694, Average Loss  0.871996, Time  0.237063
2021-09-11 09:58:43.068092 : Epoch  4, Batch    372, Loss  0.856606, Average Loss  0.871994, Time  0.238163
2021-09-11 09:58:45.648658 : Epoch  4, Batch    373, Loss  0.885541, Average Loss  0.872028, Time  0.237730
2021-09-11 09:58:48.242885 : Epoch  4, Batch    374, Loss  0.889683, Average Loss  0.872171, Time  0.237474
2021-09-11 09:58:50.823393 : Epoch  4, Batch    375, Loss  0.878250, Average Loss  0.872217, Time  0.237535
2021-09-11 09:58:53.413855 : Epoch  4, Batch    376, Loss  0.861280, Average Loss  0.872184, Time  0.237991
2021-09-11 09:58:56.002996 : Epoch  4, Batch    377, Loss  0.854525, Average Loss  0.872068, Time  0.238419
2021-09-11 09:58:58.582916 : Epoch  4, Batch    378, Loss  0.872406, Average Loss  0.872185, Time  0.237790
2021-09-11 09:59:01.172123 : Epoch  4, Batch    379, Loss  0.848752, Average Loss  0.872026, Time  0.239180
2021-09-11 09:59:03.751967 : Epoch  4, Batch    380, Loss  0.869190, Average Loss  0.871974, Time  0.238706
2021-09-11 09:59:06.329162 : Epoch  4, Batch    381, Loss  0.881898, Average Loss  0.871898, Time  0.238035
2021-09-11 09:59:08.922030 : Epoch  4, Batch    382, Loss  0.861736, Average Loss  0.871889, Time  0.237579
2021-09-11 09:59:11.509705 : Epoch  4, Batch    383, Loss  0.866701, Average Loss  0.871858, Time  0.237493
2021-09-11 09:59:14.103017 : Epoch  4, Batch    384, Loss  0.868366, Average Loss  0.871866, Time  0.237815
2021-09-11 09:59:16.683367 : Epoch  4, Batch    385, Loss  0.889652, Average Loss  0.872073, Time  0.237288
2021-09-11 09:59:19.271185 : Epoch  4, Batch    386, Loss  0.870493, Average Loss  0.872035, Time  0.237524
2021-09-11 09:59:21.861029 : Epoch  4, Batch    387, Loss  0.868286, Average Loss  0.872073, Time  0.237752
2021-09-11 09:59:24.448935 : Epoch  4, Batch    388, Loss  0.878820, Average Loss  0.872151, Time  0.240939
2021-09-11 09:59:27.034391 : Epoch  4, Batch    389, Loss  0.871454, Average Loss  0.872092, Time  0.236907
2021-09-11 09:59:29.606911 : Epoch  4, Batch    390, Loss  0.851233, Average Loss  0.871944, Time  0.238850
2021-09-11 09:59:32.182860 : Epoch  4, Batch    391, Loss  0.876634, Average Loss  0.871827, Time  0.237456
2021-09-11 09:59:34.761065 : Epoch  4, Batch    392, Loss  0.876599, Average Loss  0.871773, Time  0.237376
2021-09-11 09:59:37.352867 : Epoch  4, Batch    393, Loss  0.862436, Average Loss  0.871740, Time  0.240552
2021-09-11 09:59:39.935123 : Epoch  4, Batch    394, Loss  0.868931, Average Loss  0.871840, Time  0.237262
2021-09-11 09:59:42.515350 : Epoch  4, Batch    395, Loss  0.852488, Average Loss  0.871816, Time  0.238111
2021-09-11 09:59:45.092214 : Epoch  4, Batch    396, Loss  0.889772, Average Loss  0.871940, Time  0.239015
2021-09-11 09:59:47.707821 : Epoch  4, Batch    397, Loss  0.853256, Average Loss  0.871899, Time  0.237490
2021-09-11 09:59:50.283381 : Epoch  4, Batch    398, Loss  0.859548, Average Loss  0.871915, Time  0.236944
2021-09-11 09:59:52.866840 : Epoch  4, Batch    399, Loss  0.879565, Average Loss  0.872026, Time  0.237734
2021-09-11 09:59:55.456876 : Epoch  4, Batch    400, Loss  0.873968, Average Loss  0.871989, Time  0.237589
2021-09-11 09:59:58.048828 : Epoch  4, Batch    401, Loss  0.856873, Average Loss  0.872021, Time  0.240976
2021-09-11 10:00:00.631392 : Epoch  4, Batch    402, Loss  0.861537, Average Loss  0.872009, Time  0.239376
2021-09-11 10:00:03.207840 : Epoch  4, Batch    403, Loss  0.873319, Average Loss  0.872069, Time  0.238473
2021-09-11 10:00:05.787269 : Epoch  4, Batch    404, Loss  0.876629, Average Loss  0.872144, Time  0.238266
2021-09-11 10:00:08.373827 : Epoch  4, Batch    405, Loss  0.879865, Average Loss  0.872139, Time  0.239588
2021-09-11 10:00:10.963857 : Epoch  4, Batch    406, Loss  0.864809, Average Loss  0.872172, Time  0.239908
2021-09-11 10:00:13.543252 : Epoch  4, Batch    407, Loss  0.873016, Average Loss  0.872296, Time  0.237634
2021-09-11 10:00:16.122075 : Epoch  4, Batch    408, Loss  0.886268, Average Loss  0.872334, Time  0.238391
2021-09-11 10:00:18.717363 : Epoch  4, Batch    409, Loss  0.851316, Average Loss  0.872237, Time  0.238215
2021-09-11 10:00:21.302030 : Epoch  4, Batch    410, Loss  0.877570, Average Loss  0.872258, Time  0.237021
2021-09-11 10:00:23.899819 : Epoch  4, Batch    411, Loss  0.852035, Average Loss  0.872210, Time  0.237545
2021-09-11 10:00:26.484949 : Epoch  4, Batch    412, Loss  0.878084, Average Loss  0.872234, Time  0.238076
2021-09-11 10:00:29.067818 : Epoch  4, Batch    413, Loss  0.858209, Average Loss  0.872167, Time  0.237502
2021-09-11 10:00:31.649149 : Epoch  4, Batch    414, Loss  0.855825, Average Loss  0.872052, Time  0.238121
2021-09-11 10:00:34.222954 : Epoch  4, Batch    415, Loss  0.868006, Average Loss  0.872023, Time  0.237630
2021-09-11 10:00:36.810007 : Epoch  4, Batch    416, Loss  0.879468, Average Loss  0.872099, Time  0.238203
2021-09-11 10:00:39.386995 : Epoch  4, Batch    417, Loss  0.886501, Average Loss  0.872077, Time  0.237674
2021-09-11 10:00:41.961603 : Epoch  4, Batch    418, Loss  0.885756, Average Loss  0.872135, Time  0.236974
2021-09-11 10:00:44.537879 : Epoch  4, Batch    419, Loss  0.863235, Average Loss  0.872076, Time  0.238062
2021-09-11 10:00:47.105083 : Epoch  4, Batch    420, Loss  0.864384, Average Loss  0.872114, Time  0.238090
2021-09-11 10:00:49.679604 : Epoch  4, Batch    421, Loss  0.869576, Average Loss  0.872092, Time  0.237750
2021-09-11 10:00:52.265023 : Epoch  4, Batch    422, Loss  0.877214, Average Loss  0.872047, Time  0.239533
2021-09-11 10:00:54.848263 : Epoch  4, Batch    423, Loss  0.849203, Average Loss  0.871936, Time  0.239245
2021-09-11 10:00:57.433021 : Epoch  4, Batch    424, Loss  0.872611, Average Loss  0.871982, Time  0.237619
2021-09-11 10:01:00.016005 : Epoch  4, Batch    425, Loss  0.877889, Average Loss  0.871999, Time  0.241486
2021-09-11 10:01:02.598968 : Epoch  4, Batch    426, Loss  0.879767, Average Loss  0.871904, Time  0.239573
2021-09-11 10:01:05.184118 : Epoch  4, Batch    427, Loss  0.880470, Average Loss  0.871850, Time  0.238505
2021-09-11 10:01:07.759647 : Epoch  4, Batch    428, Loss  0.871866, Average Loss  0.871874, Time  0.238401
2021-09-11 10:01:10.342374 : Epoch  4, Batch    429, Loss  0.871110, Average Loss  0.871922, Time  0.238191
2021-09-11 10:01:11.932955 : Epoch  4, Batch   3368, Loss  0.855662, Average Loss  0.870962, Time  0.183810
2021-09-11 10:01:12.947919 : Epoch  4, Batch    430, Loss  0.882947, Average Loss  0.871911, Time  0.237577
2021-09-11 10:01:13.533820 : Epoch  4, Batch   3369, Loss  0.883441, Average Loss  0.871068, Time  0.170723
2021-09-11 10:01:15.142988 : Epoch  4, Batch   3370, Loss  0.862658, Average Loss  0.871099, Time  0.172207
2021-09-11 10:01:15.527249 : Epoch  4, Batch    431, Loss  0.853111, Average Loss  0.871841, Time  0.237386
2021-09-11 10:01:16.770008 : Epoch  4, Batch   3371, Loss  0.856510, Average Loss  0.871110, Time  0.177413
2021-09-11 10:01:18.374024 : Epoch  4, Batch   3372, Loss  0.853501, Average Loss  0.871122, Time  0.174228
2021-09-11 10:01:19.954850 : Epoch  4, Batch   3373, Loss  0.870492, Average Loss  0.871228, Time  0.171205
2021-09-11 10:01:21.572025 : Epoch  4, Batch   3374, Loss  0.876641, Average Loss  0.871287, Time  0.170203
2021-09-11 10:01:23.181038 : Epoch  4, Batch   3375, Loss  0.881726, Average Loss  0.871330, Time  0.173539
2021-09-11 10:01:24.798028 : Epoch  4, Batch   3376, Loss  0.869540, Average Loss  0.871413, Time  0.175874
2021-09-11 10:01:26.418807 : Epoch  4, Batch   3377, Loss  0.852359, Average Loss  0.871362, Time  0.179802
2021-09-11 10:01:26.932355 : Epoch  4, Batch    432, Loss  0.874412, Average Loss  0.871969, Time  0.268741
2021-09-11 10:01:28.067800 : Epoch  4, Batch   3378, Loss  0.855817, Average Loss  0.871366, Time  0.178389
2021-09-11 10:01:29.665020 : Epoch  4, Batch   3379, Loss  0.877820, Average Loss  0.871271, Time  0.181906
2021-09-11 10:01:31.262029 : Epoch  4, Batch   3380, Loss  0.856972, Average Loss  0.871319, Time  0.177720
2021-09-11 10:01:32.851801 : Epoch  4, Batch   3381, Loss  0.873558, Average Loss  0.871253, Time  0.171336
2021-09-11 10:01:34.462056 : Epoch  4, Batch   3382, Loss  0.878764, Average Loss  0.871453, Time  0.170408
2021-09-11 10:01:36.124053 : Epoch  4, Batch   3383, Loss  0.875471, Average Loss  0.871484, Time  0.186532
2021-09-11 10:01:37.740105 : Epoch  4, Batch   3384, Loss  0.878641, Average Loss  0.871559, Time  0.170287
2021-09-11 10:01:39.353769 : Epoch  4, Batch   3385, Loss  0.879533, Average Loss  0.871630, Time  0.175349
2021-09-11 10:01:40.988067 : Epoch  4, Batch   3386, Loss  0.856944, Average Loss  0.871501, Time  0.201015
2021-09-11 10:01:42.598053 : Epoch  4, Batch   3387, Loss  0.839415, Average Loss  0.871442, Time  0.172483
2021-09-11 10:01:44.224096 : Epoch  4, Batch   3388, Loss  0.850777, Average Loss  0.871344, Time  0.170568
2021-09-11 10:01:45.833071 : Epoch  4, Batch   3389, Loss  0.849632, Average Loss  0.871234, Time  0.170453
2021-09-11 10:01:47.450823 : Epoch  4, Batch   3390, Loss  0.854111, Average Loss  0.871209, Time  0.172764
2021-09-11 10:01:49.035549 : Epoch  4, Batch   3391, Loss  0.857609, Average Loss  0.871129, Time  0.175688
2021-09-11 10:01:50.641942 : Epoch  4, Batch   3392, Loss  0.879212, Average Loss  0.871183, Time  0.170229
2021-09-11 10:01:52.257774 : Epoch  4, Batch   3393, Loss  0.886248, Average Loss  0.871173, Time  0.170205
2021-09-11 10:01:53.869028 : Epoch  4, Batch   3394, Loss  0.851514, Average Loss  0.871149, Time  0.169556
2021-09-11 10:01:55.479021 : Epoch  4, Batch   3395, Loss  0.869583, Average Loss  0.871212, Time  0.170325
2021-09-11 10:01:57.085826 : Epoch  4, Batch   3396, Loss  0.903184, Average Loss  0.871370, Time  0.171212
2021-09-11 10:01:58.691027 : Epoch  4, Batch   3397, Loss  0.860339, Average Loss  0.871364, Time  0.169730
2021-09-11 10:02:00.280022 : Epoch  4, Batch   3398, Loss  0.870043, Average Loss  0.871446, Time  0.170845
2021-09-11 10:02:01.875038 : Epoch  4, Batch   3399, Loss  0.879252, Average Loss  0.871541, Time  0.171243
2021-09-11 10:02:03.481820 : Epoch  4, Batch   3400, Loss  0.850921, Average Loss  0.871488, Time  0.176347
2021-09-11 10:02:05.090765 : Epoch  4, Batch   3401, Loss  0.864726, Average Loss  0.871356, Time  0.177462
2021-09-11 10:02:06.741039 : Epoch  4, Batch   3402, Loss  0.855470, Average Loss  0.871175, Time  0.176476
2021-09-11 10:02:08.371854 : Epoch  4, Batch   3403, Loss  0.878365, Average Loss  0.871156, Time  0.171545
2021-09-11 10:02:09.965021 : Epoch  4, Batch   3404, Loss  0.888557, Average Loss  0.871319, Time  0.173540
2021-09-11 10:02:11.668260 : Epoch  4, Batch   3405, Loss  0.889941, Average Loss  0.871207, Time  0.176528
2021-09-11 10:02:13.278041 : Epoch  4, Batch   3406, Loss  0.850107, Average Loss  0.871314, Time  0.182558
2021-09-11 10:02:14.894692 : Epoch  4, Batch   3407, Loss  0.863016, Average Loss  0.871173, Time  0.176629
2021-09-11 10:02:16.492841 : Epoch  4, Batch   3408, Loss  0.877720, Average Loss  0.871296, Time  0.177108
2021-09-11 10:02:18.088031 : Epoch  4, Batch   3409, Loss  0.886754, Average Loss  0.871450, Time  0.170193
2021-09-11 10:02:19.713776 : Epoch  4, Batch   3410, Loss  0.870844, Average Loss  0.871463, Time  0.186211
2021-09-11 10:02:21.339746 : Epoch  4, Batch   3411, Loss  0.860752, Average Loss  0.871416, Time  0.174992
2021-09-11 10:02:22.946027 : Epoch  4, Batch   3412, Loss  0.875620, Average Loss  0.871438, Time  0.171811
2021-09-11 10:02:24.555865 : Epoch  4, Batch   3413, Loss  0.867022, Average Loss  0.871362, Time  0.172098
2021-09-11 10:02:26.173880 : Epoch  4, Batch   3414, Loss  0.859959, Average Loss  0.871268, Time  0.177102
2021-09-11 10:02:27.797895 : Epoch  4, Batch   3415, Loss  0.890921, Average Loss  0.871283, Time  0.176259
2021-09-11 10:02:29.427825 : Epoch  4, Batch   3416, Loss  0.897463, Average Loss  0.871294, Time  0.173090
2021-09-11 10:02:31.054035 : Epoch  4, Batch   3417, Loss  0.867010, Average Loss  0.871287, Time  0.178154
2021-09-11 10:02:32.667025 : Epoch  4, Batch   3418, Loss  0.903715, Average Loss  0.871324, Time  0.173281
2021-09-11 10:02:34.279034 : Epoch  4, Batch   3419, Loss  0.877601, Average Loss  0.871250, Time  0.169913
2021-09-11 10:02:35.882025 : Epoch  4, Batch   3420, Loss  0.898272, Average Loss  0.871322, Time  0.179613
2021-09-11 10:02:37.507022 : Epoch  4, Batch   3421, Loss  0.836019, Average Loss  0.871079, Time  0.176050
2021-09-11 10:02:39.110880 : Epoch  4, Batch   3422, Loss  0.835850, Average Loss  0.870914, Time  0.171655
2021-09-11 10:02:40.706033 : Epoch  4, Batch   3423, Loss  0.871403, Average Loss  0.870912, Time  0.178807
2021-09-11 10:02:42.316027 : Epoch  4, Batch   3424, Loss  0.828500, Average Loss  0.870713, Time  0.173243
2021-09-11 10:02:43.910889 : Epoch  4, Batch   3425, Loss  0.874525, Average Loss  0.870705, Time  0.169948
2021-09-11 10:02:45.513027 : Epoch  4, Batch   3426, Loss  0.855746, Average Loss  0.870707, Time  0.178132
2021-09-11 10:02:47.103085 : Epoch  4, Batch   3427, Loss  0.833659, Average Loss  0.870582, Time  0.176537
2021-09-11 10:02:48.727064 : Epoch  4, Batch   3428, Loss  0.864435, Average Loss  0.870664, Time  0.170949
2021-09-11 10:02:50.341044 : Epoch  4, Batch   3429, Loss  0.862313, Average Loss  0.870674, Time  0.171567
2021-09-11 10:02:51.943032 : Epoch  4, Batch   3430, Loss  0.857367, Average Loss  0.870850, Time  0.170327
2021-09-11 10:02:53.552033 : Epoch  4, Batch   3431, Loss  0.863592, Average Loss  0.870829, Time  0.178241
2021-09-11 10:02:55.160031 : Epoch  4, Batch   3432, Loss  0.892911, Average Loss  0.871038, Time  0.170671
2021-09-11 10:02:56.756023 : Epoch  4, Batch   3433, Loss  0.865772, Average Loss  0.870875, Time  0.172699
2021-09-11 10:02:58.359840 : Epoch  4, Batch   3434, Loss  0.840904, Average Loss  0.870772, Time  0.173947
2021-09-11 10:02:59.958739 : Epoch  4, Batch   3435, Loss  0.857893, Average Loss  0.870795, Time  0.173719
2021-09-11 10:03:01.564767 : Epoch  4, Batch   3436, Loss  0.868799, Average Loss  0.870776, Time  0.169730
2021-09-11 10:03:03.163035 : Epoch  4, Batch   3437, Loss  0.889195, Average Loss  0.870848, Time  0.172709
2021-09-11 10:03:04.747027 : Epoch  4, Batch   3438, Loss  0.883337, Average Loss  0.870798, Time  0.169787
2021-09-11 10:03:06.364047 : Epoch  4, Batch   3439, Loss  0.876307, Average Loss  0.870847, Time  0.172470
2021-09-11 10:03:07.992783 : Epoch  4, Batch   3440, Loss  0.866692, Average Loss  0.870789, Time  0.176080
2021-09-11 10:03:09.593847 : Epoch  4, Batch   3441, Loss  0.872454, Average Loss  0.870815, Time  0.177587
2021-09-11 10:03:11.178840 : Epoch  4, Batch   3442, Loss  0.863071, Average Loss  0.870777, Time  0.169972
2021-09-11 10:03:12.819739 : Epoch  4, Batch   3443, Loss  0.885087, Average Loss  0.870914, Time  0.169912
2021-09-11 10:03:14.442745 : Epoch  4, Batch   3444, Loss  0.845381, Average Loss  0.870955, Time  0.180290
2021-09-11 10:03:16.054041 : Epoch  4, Batch   3445, Loss  0.879534, Average Loss  0.871043, Time  0.169613
2021-09-11 10:03:17.657747 : Epoch  4, Batch   3446, Loss  0.860308, Average Loss  0.871000, Time  0.179888
2021-09-11 10:03:19.248157 : Epoch  4, Batch   3447, Loss  0.856931, Average Loss  0.870912, Time  0.170370
2021-09-11 10:03:20.868035 : Epoch  4, Batch   3448, Loss  0.891550, Average Loss  0.871096, Time  0.174376
2021-09-11 10:03:22.479900 : Epoch  4, Batch   3449, Loss  0.902864, Average Loss  0.871299, Time  0.177051
2021-09-11 10:03:24.076027 : Epoch  4, Batch   3450, Loss  0.839753, Average Loss  0.871179, Time  0.169776
2021-09-11 10:03:25.701756 : Epoch  4, Batch   3451, Loss  0.869431, Average Loss  0.871178, Time  0.183001
2021-09-11 10:03:27.317028 : Epoch  4, Batch   3452, Loss  0.822414, Average Loss  0.870925, Time  0.170122
2021-09-11 10:03:28.992820 : Epoch  4, Batch   3453, Loss  0.857118, Average Loss  0.870807, Time  0.173590
2021-09-11 10:03:30.627786 : Epoch  4, Batch   3454, Loss  0.872266, Average Loss  0.870904, Time  0.173894
2021-09-11 10:03:32.255744 : Epoch  4, Batch   3455, Loss  0.869087, Average Loss  0.870846, Time  0.172629
2021-09-11 10:03:33.852879 : Epoch  4, Batch   3456, Loss  0.845748, Average Loss  0.870837, Time  0.172099
2021-09-11 10:03:35.451747 : Epoch  4, Batch   3457, Loss  0.852460, Average Loss  0.870776, Time  0.170717
2021-09-11 10:03:37.048814 : Epoch  4, Batch   3458, Loss  0.872852, Average Loss  0.870729, Time  0.170170
2021-09-11 10:03:38.659817 : Epoch  4, Batch   3459, Loss  0.848282, Average Loss  0.870757, Time  0.170476
2021-09-11 10:03:40.284739 : Epoch  4, Batch   3460, Loss  0.820544, Average Loss  0.870575, Time  0.174194
2021-09-11 10:03:41.908880 : Epoch  4, Batch   3461, Loss  0.875235, Average Loss  0.870542, Time  0.177617
2021-09-11 10:03:43.522023 : Epoch  4, Batch   3462, Loss  0.855586, Average Loss  0.870465, Time  0.174576
2021-09-11 10:03:45.145022 : Epoch  4, Batch   3463, Loss  0.878839, Average Loss  0.870719, Time  0.171421
2021-09-11 10:03:46.752751 : Epoch  4, Batch   3464, Loss  0.840425, Average Loss  0.870595, Time  0.172233
2021-09-11 10:03:48.376743 : Epoch  4, Batch   3465, Loss  0.883776, Average Loss  0.870614, Time  0.170353
2021-09-11 10:03:49.982018 : Epoch  4, Batch   3466, Loss  0.863392, Average Loss  0.870553, Time  0.176347
2021-09-11 10:03:51.587034 : Epoch  4, Batch   3467, Loss  0.873807, Average Loss  0.870588, Time  0.172532
2021-09-11 10:05:26.858720 : CheckPoint: Validation Loss  0.00030078, Best Loss  0.00029019
2021-09-11 10:05:29.449919 : Epoch  4, Batch    433, Loss  0.839925, Average Loss  0.871777, Time  0.239060
2021-09-11 10:05:32.054967 : Epoch  4, Batch    434, Loss  0.860493, Average Loss  0.871720, Time  0.237532
2021-09-11 10:05:34.645880 : Epoch  4, Batch    435, Loss  0.855771, Average Loss  0.871748, Time  0.239138
2021-09-11 10:05:37.252158 : Epoch  4, Batch    436, Loss  0.869123, Average Loss  0.871723, Time  0.238791
2021-09-11 10:05:39.842998 : Epoch  4, Batch    437, Loss  0.861178, Average Loss  0.871642, Time  0.237479
2021-09-11 10:05:42.445994 : Epoch  4, Batch    438, Loss  0.840126, Average Loss  0.871535, Time  0.237576
2021-09-11 10:05:45.038095 : Epoch  4, Batch    439, Loss  0.870458, Average Loss  0.871488, Time  0.238197
2021-09-11 10:05:47.615081 : Epoch  4, Batch    440, Loss  0.868180, Average Loss  0.871464, Time  0.238956
2021-09-11 10:05:50.209034 : Epoch  4, Batch    441, Loss  0.877902, Average Loss  0.871465, Time  0.238799
2021-09-11 10:05:52.807961 : Epoch  4, Batch    442, Loss  0.876276, Average Loss  0.871496, Time  0.237324
2021-09-11 10:05:55.393059 : Epoch  4, Batch    443, Loss  0.870300, Average Loss  0.871419, Time  0.237831
2021-09-11 10:05:57.973286 : Epoch  4, Batch    444, Loss  0.874551, Average Loss  0.871478, Time  0.238091
2021-09-11 10:06:00.550836 : Epoch  4, Batch    445, Loss  0.850257, Average Loss  0.871374, Time  0.237793
2021-09-11 10:06:03.158968 : Epoch  4, Batch    446, Loss  0.869384, Average Loss  0.871324, Time  0.238057
2021-09-11 10:06:05.739794 : Epoch  4, Batch    447, Loss  0.860344, Average Loss  0.871261, Time  0.237574
2021-09-11 10:06:08.325197 : Epoch  4, Batch    448, Loss  0.881735, Average Loss  0.871299, Time  0.237449
2021-09-11 10:06:10.912959 : Epoch  4, Batch    449, Loss  0.884811, Average Loss  0.871306, Time  0.237657
2021-09-11 10:06:13.499864 : Epoch  4, Batch    450, Loss  0.875388, Average Loss  0.871350, Time  0.238476
2021-09-11 10:06:16.076848 : Epoch  4, Batch    451, Loss  0.863640, Average Loss  0.871305, Time  0.238776
2021-09-11 10:06:18.660363 : Epoch  4, Batch    452, Loss  0.856685, Average Loss  0.871274, Time  0.237392
2021-09-11 10:06:21.251740 : Epoch  4, Batch    453, Loss  0.875650, Average Loss  0.871388, Time  0.239203
2021-09-11 10:06:23.826383 : Epoch  4, Batch    454, Loss  0.880984, Average Loss  0.871365, Time  0.237243
2021-09-11 10:06:26.413581 : Epoch  4, Batch    455, Loss  0.865480, Average Loss  0.871267, Time  0.237397
2021-09-11 10:06:29.010397 : Epoch  4, Batch    456, Loss  0.851358, Average Loss  0.871128, Time  0.238915
2021-09-11 10:06:31.600887 : Epoch  4, Batch    457, Loss  0.869624, Average Loss  0.871148, Time  0.237048
2021-09-11 10:06:34.186007 : Epoch  4, Batch    458, Loss  0.852735, Average Loss  0.871063, Time  0.238581
2021-09-11 10:06:36.775572 : Epoch  4, Batch    459, Loss  0.872849, Average Loss  0.871243, Time  0.237435
2021-09-11 10:06:39.366177 : Epoch  4, Batch    460, Loss  0.879041, Average Loss  0.871269, Time  0.239820
2021-09-11 10:06:41.952840 : Epoch  4, Batch    461, Loss  0.890594, Average Loss  0.871316, Time  0.237417
2021-09-11 10:06:44.562907 : Epoch  4, Batch    462, Loss  0.868148, Average Loss  0.871413, Time  0.238294
2021-09-11 10:06:47.160327 : Epoch  4, Batch    463, Loss  0.869270, Average Loss  0.871393, Time  0.239753
2021-09-11 10:06:49.755047 : Epoch  4, Batch    464, Loss  0.871522, Average Loss  0.871306, Time  0.237678
2021-09-11 10:06:52.361816 : Epoch  4, Batch    465, Loss  0.859000, Average Loss  0.871290, Time  0.238559
2021-09-11 10:06:54.940766 : Epoch  4, Batch    466, Loss  0.863975, Average Loss  0.871186, Time  0.238610
2021-09-11 10:06:57.544694 : Epoch  4, Batch    467, Loss  0.852143, Average Loss  0.871137, Time  0.238308
2021-09-11 10:07:00.138432 : Epoch  4, Batch    468, Loss  0.855944, Average Loss  0.871068, Time  0.237856
2021-09-11 10:07:02.719050 : Epoch  4, Batch    469, Loss  0.863233, Average Loss  0.871046, Time  0.237429
2021-09-11 10:07:05.304026 : Epoch  4, Batch    470, Loss  0.878789, Average Loss  0.871041, Time  0.237364
2021-09-11 10:07:07.891409 : Epoch  4, Batch    471, Loss  0.876179, Average Loss  0.870964, Time  0.238881
2021-09-11 10:07:10.475385 : Epoch  4, Batch    472, Loss  0.871420, Average Loss  0.870936, Time  0.237444
2021-09-11 10:07:13.057960 : Epoch  4, Batch    473, Loss  0.899124, Average Loss  0.871188, Time  0.237947
2021-09-11 10:07:15.647898 : Epoch  4, Batch    474, Loss  0.856380, Average Loss  0.871032, Time  0.239636
2021-09-11 10:07:18.228900 : Epoch  4, Batch    475, Loss  0.886517, Average Loss  0.871110, Time  0.237454
2021-09-11 10:07:20.814418 : Epoch  4, Batch    476, Loss  0.861739, Average Loss  0.871079, Time  0.237886
2021-09-11 10:07:23.402408 : Epoch  4, Batch    477, Loss  0.862995, Average Loss  0.870958, Time  0.237456
2021-09-11 10:07:25.997445 : Epoch  4, Batch    478, Loss  0.870815, Average Loss  0.870921, Time  0.237281
2021-09-11 10:07:28.582916 : Epoch  4, Batch    479, Loss  0.860054, Average Loss  0.870824, Time  0.238525
2021-09-11 10:07:31.163643 : Epoch  4, Batch    480, Loss  0.859365, Average Loss  0.870716, Time  0.237317
2021-09-11 10:07:33.746047 : Epoch  4, Batch    481, Loss  0.853153, Average Loss  0.870540, Time  0.237481
2021-09-11 10:07:36.344361 : Epoch  4, Batch    482, Loss  0.877976, Average Loss  0.870489, Time  0.239098
2021-09-11 10:07:38.940961 : Epoch  4, Batch    483, Loss  0.867980, Average Loss  0.870585, Time  0.241909
2021-09-11 10:07:41.531856 : Epoch  4, Batch    484, Loss  0.869435, Average Loss  0.870500, Time  0.240448
2021-09-11 10:07:44.126139 : Epoch  4, Batch    485, Loss  0.842182, Average Loss  0.870355, Time  0.241545
2021-09-11 10:07:46.716102 : Epoch  4, Batch    486, Loss  0.864085, Average Loss  0.870359, Time  0.238955
2021-09-11 10:07:49.307807 : Epoch  4, Batch    487, Loss  0.877293, Average Loss  0.870343, Time  0.240560
2021-09-11 10:07:51.914916 : Epoch  4, Batch    488, Loss  0.880943, Average Loss  0.870340, Time  0.239212
2021-09-11 10:07:54.527085 : Epoch  4, Batch    489, Loss  0.880257, Average Loss  0.870374, Time  0.239786
2021-09-11 10:07:57.110562 : Epoch  4, Batch    490, Loss  0.863092, Average Loss  0.870277, Time  0.237771
2021-09-11 10:07:59.694748 : Epoch  4, Batch    491, Loss  0.866989, Average Loss  0.870297, Time  0.237911
2021-09-11 10:08:02.274407 : Epoch  4, Batch    492, Loss  0.869269, Average Loss  0.870329, Time  0.237424
2021-09-11 10:08:04.868883 : Epoch  4, Batch    493, Loss  0.874964, Average Loss  0.870298, Time  0.238895
2021-09-11 10:08:07.459112 : Epoch  4, Batch    494, Loss  0.883013, Average Loss  0.870245, Time  0.237468
2021-09-11 10:08:10.059004 : Epoch  4, Batch    495, Loss  0.865485, Average Loss  0.870128, Time  0.237394
2021-09-11 10:08:12.654333 : Epoch  4, Batch    496, Loss  0.872830, Average Loss  0.870206, Time  0.237392
2021-09-11 10:08:15.245037 : Epoch  4, Batch    497, Loss  0.849921, Average Loss  0.870045, Time  0.237055
2021-09-11 10:08:17.850013 : Epoch  4, Batch    498, Loss  0.855158, Average Loss  0.869929, Time  0.238093
2021-09-11 10:08:20.437162 : Epoch  4, Batch    499, Loss  0.888024, Average Loss  0.869932, Time  0.237323
2021-09-11 10:08:23.021090 : Epoch  4, Batch    500, Loss  0.864754, Average Loss  0.869912, Time  0.237420
2021-09-11 10:08:25.604899 : Epoch  4, Batch    501, Loss  0.863698, Average Loss  0.869817, Time  0.237681
2021-09-11 10:08:28.201329 : Epoch  4, Batch    502, Loss  0.862326, Average Loss  0.869698, Time  0.239473
2021-09-11 10:08:30.778225 : Epoch  4, Batch    503, Loss  0.863659, Average Loss  0.869621, Time  0.237097
2021-09-11 10:08:33.044718 : CheckPoint: Validation Loss  0.00062389, Best Loss  0.00057296
2021-09-11 10:08:33.358361 : Epoch  4, Batch    504, Loss  0.891589, Average Loss  0.869617, Time  0.239009
2021-09-11 10:08:34.650950 : Epoch  4, Batch   3468, Loss  0.908344, Average Loss  0.870772, Time  0.180139
2021-09-11 10:08:35.941422 : Epoch  4, Batch    505, Loss  0.861782, Average Loss  0.869539, Time  0.237181
2021-09-11 10:08:36.239739 : Epoch  4, Batch   3469, Loss  0.910070, Average Loss  0.870881, Time  0.171032
2021-09-11 10:08:37.838990 : Epoch  4, Batch   3470, Loss  0.866001, Average Loss  0.870773, Time  0.176136
2021-09-11 10:08:38.519856 : Epoch  4, Batch    506, Loss  0.882729, Average Loss  0.869733, Time  0.238000
2021-09-11 10:08:39.467774 : Epoch  4, Batch   3471, Loss  0.865834, Average Loss  0.870710, Time  0.170274
2021-09-11 10:08:41.069026 : Epoch  4, Batch   3472, Loss  0.841145, Average Loss  0.870527, Time  0.171484
2021-09-11 10:08:41.111360 : Epoch  4, Batch    507, Loss  0.889407, Average Loss  0.869767, Time  0.238856
2021-09-11 10:08:42.684034 : Epoch  4, Batch   3473, Loss  0.865741, Average Loss  0.870482, Time  0.170206
2021-09-11 10:08:43.699123 : Epoch  4, Batch    508, Loss  0.864939, Average Loss  0.869688, Time  0.237618
2021-09-11 10:08:44.268784 : Epoch  4, Batch   3474, Loss  0.855468, Average Loss  0.870643, Time  0.169929
2021-09-11 10:08:45.894032 : Epoch  4, Batch   3475, Loss  0.858713, Average Loss  0.870628, Time  0.170013
2021-09-11 10:08:46.293661 : Epoch  4, Batch    509, Loss  0.884146, Average Loss  0.869674, Time  0.237264
2021-09-11 10:08:47.516029 : Epoch  4, Batch   3476, Loss  0.870358, Average Loss  0.870623, Time  0.170564
2021-09-11 10:08:48.866164 : Epoch  4, Batch    510, Loss  0.874916, Average Loss  0.869676, Time  0.237970
2021-09-11 10:08:49.142033 : Epoch  4, Batch   3477, Loss  0.868896, Average Loss  0.870581, Time  0.175761
2021-09-11 10:08:50.735022 : Epoch  4, Batch   3478, Loss  0.866712, Average Loss  0.870625, Time  0.170134
2021-09-11 10:08:51.452611 : Epoch  4, Batch    511, Loss  0.855970, Average Loss  0.869599, Time  0.236894
2021-09-11 10:08:52.365046 : Epoch  4, Batch   3479, Loss  0.863935, Average Loss  0.870775, Time  0.180241
2021-09-11 10:08:53.994786 : Epoch  4, Batch   3480, Loss  0.848903, Average Loss  0.870626, Time  0.172193
2021-09-11 10:08:54.036243 : Epoch  4, Batch    512, Loss  0.874674, Average Loss  0.869698, Time  0.239045
2021-09-11 10:08:55.595738 : Epoch  4, Batch   3481, Loss  0.834155, Average Loss  0.870500, Time  0.170123
2021-09-11 10:08:56.625739 : Epoch  4, Batch    513, Loss  0.863540, Average Loss  0.869642, Time  0.237429
2021-09-11 10:08:57.192079 : Epoch  4, Batch   3482, Loss  0.890094, Average Loss  0.870582, Time  0.178523
2021-09-11 10:08:58.824353 : Epoch  4, Batch   3483, Loss  0.865349, Average Loss  0.870542, Time  0.172786
2021-09-11 10:08:59.201845 : Epoch  4, Batch    514, Loss  0.852014, Average Loss  0.869499, Time  0.238652
2021-09-11 10:09:00.461014 : Epoch  4, Batch   3484, Loss  0.848565, Average Loss  0.870310, Time  0.176749
2021-09-11 10:09:01.777483 : Epoch  4, Batch    515, Loss  0.876252, Average Loss  0.869507, Time  0.239459
2021-09-11 10:09:02.090032 : Epoch  4, Batch   3485, Loss  0.854731, Average Loss  0.870223, Time  0.175854
2021-09-11 10:09:03.708041 : Epoch  4, Batch   3486, Loss  0.862207, Average Loss  0.870143, Time  0.184868
2021-09-11 10:09:04.358376 : Epoch  4, Batch    516, Loss  0.890526, Average Loss  0.869588, Time  0.237512
2021-09-11 10:09:05.337932 : Epoch  4, Batch   3487, Loss  0.883052, Average Loss  0.870275, Time  0.177526
2021-09-11 10:09:06.946035 : Epoch  4, Batch   3488, Loss  0.892920, Average Loss  0.870378, Time  0.170377
2021-09-11 10:09:06.948747 : Epoch  4, Batch    517, Loss  0.858881, Average Loss  0.869543, Time  0.238396
2021-09-11 10:09:08.560830 : Epoch  4, Batch   3489, Loss  0.846113, Average Loss  0.870080, Time  0.170826
2021-09-11 10:09:09.575995 : Epoch  4, Batch    518, Loss  0.869212, Average Loss  0.869453, Time  0.238876
2021-09-11 10:09:10.176810 : Epoch  4, Batch   3490, Loss  0.837508, Average Loss  0.869907, Time  0.172886
2021-09-11 10:09:11.821030 : Epoch  4, Batch   3491, Loss  0.866157, Average Loss  0.869993, Time  0.169903
2021-09-11 10:09:12.185773 : Epoch  4, Batch    519, Loss  0.872605, Average Loss  0.869480, Time  0.238436
2021-09-11 10:09:13.454801 : Epoch  4, Batch   3492, Loss  0.866520, Average Loss  0.869869, Time  0.174381
2021-09-11 10:09:14.777649 : Epoch  4, Batch    520, Loss  0.850622, Average Loss  0.869371, Time  0.237621
2021-09-11 10:09:15.061024 : Epoch  4, Batch   3493, Loss  0.893252, Average Loss  0.870022, Time  0.169950
2021-09-11 10:09:16.676022 : Epoch  4, Batch   3494, Loss  0.849548, Average Loss  0.869918, Time  0.170696
2021-09-11 10:09:17.383812 : Epoch  4, Batch    521, Loss  0.880825, Average Loss  0.869401, Time  0.238851
2021-09-11 10:09:18.293030 : Epoch  4, Batch   3495, Loss  0.864628, Average Loss  0.869737, Time  0.170867
2021-09-11 10:09:19.892795 : Epoch  4, Batch   3496, Loss  0.845169, Average Loss  0.869637, Time  0.170056
2021-09-11 10:09:19.970195 : Epoch  4, Batch    522, Loss  0.862630, Average Loss  0.869422, Time  0.239231
2021-09-11 10:09:21.528027 : Epoch  4, Batch   3497, Loss  0.877182, Average Loss  0.869670, Time  0.181098
2021-09-11 10:09:22.579964 : Epoch  4, Batch    523, Loss  0.856308, Average Loss  0.869349, Time  0.237577
2021-09-11 10:09:23.161830 : Epoch  4, Batch   3498, Loss  0.820229, Average Loss  0.869501, Time  0.186702
2021-09-11 10:09:24.765036 : Epoch  4, Batch   3499, Loss  0.896115, Average Loss  0.869447, Time  0.169893
2021-09-11 10:09:25.172949 : Epoch  4, Batch    524, Loss  0.860836, Average Loss  0.869281, Time  0.237391
2021-09-11 10:09:26.374033 : Epoch  4, Batch   3500, Loss  0.865903, Average Loss  0.869237, Time  0.174817
2021-09-11 10:09:27.756198 : Epoch  4, Batch    525, Loss  0.865655, Average Loss  0.869291, Time  0.237026
2021-09-11 10:09:27.993028 : Epoch  4, Batch   3501, Loss  0.865707, Average Loss  0.869230, Time  0.190038
2021-09-11 10:09:29.588857 : Epoch  4, Batch   3502, Loss  0.866055, Average Loss  0.869231, Time  0.170356
2021-09-11 10:09:30.332172 : Epoch  4, Batch    526, Loss  0.876131, Average Loss  0.869327, Time  0.237362
2021-09-11 10:09:31.193821 : Epoch  4, Batch   3503, Loss  0.839923, Average Loss  0.869115, Time  0.171554
2021-09-11 10:09:32.817907 : Epoch  4, Batch   3504, Loss  0.847511, Average Loss  0.868941, Time  0.170358
2021-09-11 10:09:32.927860 : Epoch  4, Batch    527, Loss  0.876968, Average Loss  0.869337, Time  0.238943
2021-09-11 10:09:34.487068 : Epoch  4, Batch   3505, Loss  0.838511, Average Loss  0.868723, Time  0.175655
2021-09-11 10:09:35.505286 : Epoch  4, Batch    528, Loss  0.889616, Average Loss  0.869422, Time  0.238159
2021-09-11 10:09:36.096031 : Epoch  4, Batch   3506, Loss  0.881310, Average Loss  0.868590, Time  0.169885
2021-09-11 10:09:37.710846 : Epoch  4, Batch   3507, Loss  0.893776, Average Loss  0.868771, Time  0.176131
2021-09-11 10:09:38.087887 : Epoch  4, Batch    529, Loss  0.890664, Average Loss  0.869613, Time  0.237398
2021-09-11 10:09:39.352039 : Epoch  4, Batch   3508, Loss  0.884837, Average Loss  0.868861, Time  0.183031
2021-09-11 10:09:40.677372 : Epoch  4, Batch    530, Loss  0.860837, Average Loss  0.869516, Time  0.238413
2021-09-11 10:09:40.955821 : Epoch  4, Batch   3509, Loss  0.903074, Average Loss  0.868983, Time  0.172288
2021-09-11 10:09:42.576028 : Epoch  4, Batch   3510, Loss  0.878914, Average Loss  0.868882, Time  0.180412
2021-09-11 10:09:43.260409 : Epoch  4, Batch    531, Loss  0.857792, Average Loss  0.869340, Time  0.238115
2021-09-11 10:09:44.231033 : Epoch  4, Batch   3511, Loss  0.884058, Average Loss  0.868828, Time  0.174915
2021-09-11 10:09:45.854921 : Epoch  4, Batch   3512, Loss  0.882872, Average Loss  0.868764, Time  0.170012
2021-09-11 10:09:47.515026 : Epoch  4, Batch   3513, Loss  0.871526, Average Loss  0.868835, Time  0.172434
2021-09-11 10:09:49.140026 : Epoch  4, Batch   3514, Loss  0.862764, Average Loss  0.868788, Time  0.170763
2021-09-11 10:09:50.776739 : Epoch  4, Batch   3515, Loss  0.859030, Average Loss  0.868741, Time  0.179175
2021-09-11 10:09:52.380751 : Epoch  4, Batch   3516, Loss  0.836206, Average Loss  0.868520, Time  0.175444
2021-09-11 10:09:53.983032 : Epoch  4, Batch   3517, Loss  0.854028, Average Loss  0.868252, Time  0.175993
2021-09-11 10:09:55.599033 : Epoch  4, Batch   3518, Loss  0.882529, Average Loss  0.868368, Time  0.169832
2021-09-11 10:09:57.216029 : Epoch  4, Batch   3519, Loss  0.851188, Average Loss  0.868315, Time  0.176526
2021-09-11 10:09:58.846937 : Epoch  4, Batch   3520, Loss  0.906655, Average Loss  0.868624, Time  0.177330
2021-09-11 10:10:00.463027 : Epoch  4, Batch   3521, Loss  0.839309, Average Loss  0.868310, Time  0.187620
2021-09-11 10:10:02.073999 : Epoch  4, Batch   3522, Loss  0.875645, Average Loss  0.868249, Time  0.169988
2021-09-11 10:10:03.700999 : Epoch  4, Batch   3523, Loss  0.856139, Average Loss  0.868223, Time  0.169650
2021-09-11 10:10:05.305000 : Epoch  4, Batch   3524, Loss  0.849671, Average Loss  0.868071, Time  0.169613
2021-09-11 10:10:06.913801 : Epoch  4, Batch   3525, Loss  0.875543, Average Loss  0.868124, Time  0.169982
2021-09-11 10:10:08.504747 : Epoch  4, Batch   3526, Loss  0.875331, Average Loss  0.868062, Time  0.169632
2021-09-11 10:10:10.122984 : Epoch  4, Batch   3527, Loss  0.858133, Average Loss  0.868101, Time  0.169738
2021-09-11 10:10:11.730000 : Epoch  4, Batch   3528, Loss  0.872211, Average Loss  0.868103, Time  0.169574
2021-09-11 10:10:13.321179 : Epoch  4, Batch   3529, Loss  0.867638, Average Loss  0.868107, Time  0.172330
2021-09-11 10:10:14.937997 : Epoch  4, Batch   3530, Loss  0.866364, Average Loss  0.868151, Time  0.169360
2021-09-11 10:10:16.535919 : Epoch  4, Batch   3531, Loss  0.825887, Average Loss  0.867985, Time  0.170041
2021-09-11 10:10:18.157002 : Epoch  4, Batch   3532, Loss  0.851302, Average Loss  0.867810, Time  0.169798
2021-09-11 10:10:19.756756 : Epoch  4, Batch   3533, Loss  0.868107, Average Loss  0.867774, Time  0.169594
2021-09-11 10:10:21.367803 : Epoch  4, Batch   3534, Loss  0.846028, Average Loss  0.867688, Time  0.169633
2021-09-11 10:10:22.984752 : Epoch  4, Batch   3535, Loss  0.856146, Average Loss  0.867606, Time  0.169643
2021-09-11 10:10:24.582993 : Epoch  4, Batch   3536, Loss  0.881655, Average Loss  0.867617, Time  0.169326
2021-09-11 10:10:26.181997 : Epoch  4, Batch   3537, Loss  0.871206, Average Loss  0.867615, Time  0.169894
2021-09-11 10:10:27.794773 : Epoch  4, Batch   3538, Loss  0.859717, Average Loss  0.867514, Time  0.169954
2021-09-11 10:10:29.406999 : Epoch  4, Batch   3539, Loss  0.874150, Average Loss  0.867455, Time  0.169929
2021-09-11 10:10:31.049745 : Epoch  4, Batch   3540, Loss  0.875224, Average Loss  0.867563, Time  0.169763
2021-09-11 10:10:32.662998 : Epoch  4, Batch   3541, Loss  0.862276, Average Loss  0.867602, Time  0.169688
2021-09-11 10:10:34.263743 : Epoch  4, Batch   3542, Loss  0.847314, Average Loss  0.867490, Time  0.169937
2021-09-11 10:10:35.892058 : Epoch  4, Batch   3543, Loss  0.863138, Average Loss  0.867444, Time  0.169871
2021-09-11 10:10:37.505800 : Epoch  4, Batch   3544, Loss  0.839466, Average Loss  0.867226, Time  0.170478
2021-09-11 10:10:39.109035 : Epoch  4, Batch   3545, Loss  0.886996, Average Loss  0.867212, Time  0.170210
2021-09-11 10:10:40.706797 : Epoch  4, Batch   3546, Loss  0.864731, Average Loss  0.867163, Time  0.169739
2021-09-11 10:10:42.314740 : Epoch  4, Batch   3547, Loss  0.844512, Average Loss  0.867094, Time  0.169730
2021-09-11 10:10:43.931000 : Epoch  4, Batch   3548, Loss  0.823539, Average Loss  0.866797, Time  0.169564
2021-09-11 10:10:45.535880 : Epoch  4, Batch   3549, Loss  0.843499, Average Loss  0.866557, Time  0.169539
2021-09-11 10:10:47.128760 : Epoch  4, Batch   3550, Loss  0.867267, Average Loss  0.866517, Time  0.169779
2021-09-11 10:10:48.734987 : Epoch  4, Batch   3551, Loss  0.864608, Average Loss  0.866428, Time  0.170240
2021-09-11 10:10:50.345990 : Epoch  4, Batch   3552, Loss  0.861666, Average Loss  0.866104, Time  0.169658
2021-09-11 10:10:51.953003 : Epoch  4, Batch   3553, Loss  0.890978, Average Loss  0.866051, Time  0.169518
2021-09-11 10:10:53.555994 : Epoch  4, Batch   3554, Loss  0.825759, Average Loss  0.865772, Time  0.171989
2021-09-11 10:10:55.160991 : Epoch  4, Batch   3555, Loss  0.893824, Average Loss  0.865881, Time  0.169500
2021-09-11 10:10:56.757992 : Epoch  4, Batch   3556, Loss  0.885560, Average Loss  0.866083, Time  0.169687
2021-09-11 10:10:58.355996 : Epoch  4, Batch   3557, Loss  0.873517, Average Loss  0.866110, Time  0.169524
2021-09-11 10:10:59.962745 : Epoch  4, Batch   3558, Loss  0.898291, Average Loss  0.866137, Time  0.169952
2021-09-11 10:11:01.567994 : Epoch  4, Batch   3559, Loss  0.865924, Average Loss  0.866050, Time  0.169940
2021-09-11 10:11:03.172998 : Epoch  4, Batch   3560, Loss  0.854390, Average Loss  0.865824, Time  0.169573
2021-09-11 10:11:04.789990 : Epoch  4, Batch   3561, Loss  0.867818, Average Loss  0.865715, Time  0.169586
2021-09-11 10:11:06.384003 : Epoch  4, Batch   3562, Loss  0.858051, Average Loss  0.865611, Time  0.169862
2021-09-11 10:11:07.980842 : Epoch  4, Batch   3563, Loss  0.872573, Average Loss  0.865661, Time  0.169675
2021-09-11 10:11:09.576757 : Epoch  4, Batch   3564, Loss  0.866076, Average Loss  0.865792, Time  0.169312
2021-09-11 10:11:11.177776 : Epoch  4, Batch   3565, Loss  0.887246, Average Loss  0.865801, Time  0.169631
2021-09-11 10:11:12.792754 : Epoch  4, Batch   3566, Loss  0.864950, Average Loss  0.865942, Time  0.169784
2021-09-11 10:11:14.399923 : Epoch  4, Batch   3567, Loss  0.901932, Average Loss  0.866032, Time  0.169644
2021-09-11 10:13:48.465756 : CheckPoint: Validation Loss  0.00030303, Best Loss  0.00029019
2021-09-11 10:13:51.058947 : Epoch  4, Batch    533, Loss  0.869106, Average Loss  0.869329, Time  0.238656
2021-09-11 10:13:53.641055 : Epoch  4, Batch    534, Loss  0.885703, Average Loss  0.869422, Time  0.237986
2021-09-11 10:13:56.232841 : Epoch  4, Batch    535, Loss  0.892301, Average Loss  0.869608, Time  0.237573
2021-09-11 10:13:58.840376 : Epoch  4, Batch    536, Loss  0.878392, Average Loss  0.869624, Time  0.240433
2021-09-11 10:14:01.441249 : Epoch  4, Batch    537, Loss  0.878755, Average Loss  0.869850, Time  0.237442
2021-09-11 10:14:04.026643 : Epoch  4, Batch    538, Loss  0.868272, Average Loss  0.869836, Time  0.237439
2021-09-11 10:14:06.608833 : Epoch  4, Batch    539, Loss  0.868770, Average Loss  0.869772, Time  0.238035
2021-09-11 10:14:09.208044 : Epoch  4, Batch    540, Loss  0.853819, Average Loss  0.869797, Time  0.238032
2021-09-11 10:14:11.796995 : Epoch  4, Batch    541, Loss  0.882888, Average Loss  0.869891, Time  0.238553
2021-09-11 10:14:14.398398 : Epoch  4, Batch    542, Loss  0.858297, Average Loss  0.869893, Time  0.237628
2021-09-11 10:14:16.980909 : Epoch  4, Batch    543, Loss  0.859343, Average Loss  0.869904, Time  0.237619
2021-09-11 10:14:19.569341 : Epoch  4, Batch    544, Loss  0.871485, Average Loss  0.869926, Time  0.237187
2021-09-11 10:14:22.146806 : Epoch  4, Batch    545, Loss  0.882097, Average Loss  0.869956, Time  0.237307
2021-09-11 10:14:24.738077 : Epoch  4, Batch    546, Loss  0.861013, Average Loss  0.869819, Time  0.237189
2021-09-11 10:14:27.330852 : Epoch  4, Batch    547, Loss  0.849196, Average Loss  0.869669, Time  0.237121
2021-09-11 10:14:29.918683 : Epoch  4, Batch    548, Loss  0.864216, Average Loss  0.869648, Time  0.237265
2021-09-11 10:14:32.505731 : Epoch  4, Batch    549, Loss  0.867241, Average Loss  0.869641, Time  0.237128
2021-09-11 10:14:35.091518 : Epoch  4, Batch    550, Loss  0.863133, Average Loss  0.869481, Time  0.237033
2021-09-11 10:14:37.665130 : Epoch  4, Batch    551, Loss  0.896943, Average Loss  0.869546, Time  0.237235
2021-09-11 10:14:40.252288 : Epoch  4, Batch    552, Loss  0.864124, Average Loss  0.869508, Time  0.237412
2021-09-11 10:14:42.834630 : Epoch  4, Batch    553, Loss  0.874893, Average Loss  0.869610, Time  0.237993
2021-09-11 10:14:45.418895 : Epoch  4, Batch    554, Loss  0.863408, Average Loss  0.869511, Time  0.237138
2021-09-11 10:14:48.006994 : Epoch  4, Batch    555, Loss  0.874191, Average Loss  0.869551, Time  0.238323
2021-09-11 10:14:50.600025 : Epoch  4, Batch    556, Loss  0.879847, Average Loss  0.869666, Time  0.237876
2021-09-11 10:14:53.183305 : Epoch  4, Batch    557, Loss  0.885953, Average Loss  0.869779, Time  0.238039
2021-09-11 10:14:55.769737 : Epoch  4, Batch    558, Loss  0.859209, Average Loss  0.869727, Time  0.239874
2021-09-11 10:14:58.359029 : Epoch  4, Batch    559, Loss  0.863651, Average Loss  0.869595, Time  0.237672
2021-09-11 10:15:00.962528 : Epoch  4, Batch    560, Loss  0.888984, Average Loss  0.869668, Time  0.238540
2021-09-11 10:15:03.571502 : Epoch  4, Batch    561, Loss  0.869573, Average Loss  0.869661, Time  0.237767
2021-09-11 10:15:06.173977 : Epoch  4, Batch    562, Loss  0.863961, Average Loss  0.869565, Time  0.238029
2021-09-11 10:15:08.762432 : Epoch  4, Batch    563, Loss  0.872931, Average Loss  0.869525, Time  0.238132
2021-09-11 10:15:11.353942 : Epoch  4, Batch    564, Loss  0.883229, Average Loss  0.869593, Time  0.237396
2021-09-11 10:15:13.952059 : Epoch  4, Batch    565, Loss  0.898233, Average Loss  0.869808, Time  0.237059
2021-09-11 10:15:16.543895 : Epoch  4, Batch    566, Loss  0.860252, Average Loss  0.869737, Time  0.238091
2021-09-11 10:15:19.159052 : Epoch  4, Batch    567, Loss  0.880554, Average Loss  0.869825, Time  0.238107
2021-09-11 10:15:21.745936 : Epoch  4, Batch    568, Loss  0.869679, Average Loss  0.869821, Time  0.238136
2021-09-11 10:15:24.324329 : Epoch  4, Batch    569, Loss  0.888041, Average Loss  0.869821, Time  0.237195
2021-09-11 10:15:26.906362 : Epoch  4, Batch    570, Loss  0.867437, Average Loss  0.869850, Time  0.236873
2021-09-11 10:15:29.489375 : Epoch  4, Batch    571, Loss  0.854754, Average Loss  0.869736, Time  0.237123
2021-09-11 10:15:32.079372 : Epoch  4, Batch    572, Loss  0.886147, Average Loss  0.869883, Time  0.237277
2021-09-11 10:15:34.671859 : Epoch  4, Batch    573, Loss  0.876580, Average Loss  0.869838, Time  0.237318
2021-09-11 10:15:37.256130 : Epoch  4, Batch    574, Loss  0.841737, Average Loss  0.869599, Time  0.237305
2021-09-11 10:15:39.837194 : Epoch  4, Batch    575, Loss  0.859045, Average Loss  0.869503, Time  0.237494
2021-09-11 10:15:42.429207 : Epoch  4, Batch    576, Loss  0.873520, Average Loss  0.869564, Time  0.237324
2021-09-11 10:15:45.031872 : Epoch  4, Batch    577, Loss  0.874761, Average Loss  0.869665, Time  0.238299
2021-09-11 10:15:47.621143 : Epoch  4, Batch    578, Loss  0.891194, Average Loss  0.869759, Time  0.238725
2021-09-11 10:15:50.216963 : Epoch  4, Batch    579, Loss  0.880401, Average Loss  0.869917, Time  0.240298
2021-09-11 10:15:52.811892 : Epoch  4, Batch    580, Loss  0.854079, Average Loss  0.869842, Time  0.237756
2021-09-11 10:15:55.404183 : Epoch  4, Batch    581, Loss  0.867938, Average Loss  0.869772, Time  0.237267
2021-09-11 10:15:56.098718 : CheckPoint: Validation Loss  0.00061705, Best Loss  0.00057296
2021-09-11 10:15:57.749915 : Epoch  4, Batch   3568, Loss  0.887330, Average Loss  0.866191, Time  0.176431
2021-09-11 10:15:57.998930 : Epoch  4, Batch    582, Loss  0.861347, Average Loss  0.869770, Time  0.237938
2021-09-11 10:15:59.355983 : Epoch  4, Batch   3569, Loss  0.897802, Average Loss  0.866262, Time  0.169930
2021-09-11 10:16:00.575869 : Epoch  4, Batch    583, Loss  0.870998, Average Loss  0.869791, Time  0.237486
2021-09-11 10:16:00.959981 : Epoch  4, Batch   3570, Loss  0.851363, Average Loss  0.866206, Time  0.169804
2021-09-11 10:16:02.557989 : Epoch  4, Batch   3571, Loss  0.877618, Average Loss  0.866311, Time  0.169904
2021-09-11 10:16:03.161394 : Epoch  4, Batch    584, Loss  0.860267, Average Loss  0.869751, Time  0.236938
2021-09-11 10:16:04.161984 : Epoch  4, Batch   3572, Loss  0.864547, Average Loss  0.866367, Time  0.169642
2021-09-11 10:16:05.757387 : Epoch  4, Batch    585, Loss  0.851631, Average Loss  0.869561, Time  0.237662
2021-09-11 10:16:07.369921 : Epoch  4, Batch   3574, Loss  0.857517, Average Loss  0.866250, Time  0.172217
2021-09-11 10:16:08.355936 : Epoch  4, Batch    586, Loss  0.869180, Average Loss  0.869554, Time  0.237836
2021-09-11 10:16:08.977813 : Epoch  4, Batch   3575, Loss  0.871948, Average Loss  0.866202, Time  0.169681
2021-09-11 10:16:10.570016 : Epoch  4, Batch   3576, Loss  0.884683, Average Loss  0.866277, Time  0.169417
2021-09-11 10:16:10.934403 : Epoch  4, Batch    587, Loss  0.852565, Average Loss  0.869476, Time  0.238317
2021-09-11 10:16:12.155753 : Epoch  4, Batch   3577, Loss  0.886647, Average Loss  0.866449, Time  0.169844
2021-09-11 10:16:13.507880 : Epoch  4, Batch    588, Loss  0.862265, Average Loss  0.869393, Time  0.237606
2021-09-11 10:16:13.769995 : Epoch  4, Batch   3578, Loss  0.864781, Average Loss  0.866494, Time  0.169416
2021-09-11 10:16:15.382818 : Epoch  4, Batch   3579, Loss  0.852219, Average Loss  0.866366, Time  0.170153
2021-09-11 10:16:16.085835 : Epoch  4, Batch    589, Loss  0.866670, Average Loss  0.869369, Time  0.237080
2021-09-11 10:16:16.988002 : Epoch  4, Batch   3580, Loss  0.851907, Average Loss  0.866340, Time  0.169961
2021-09-11 10:16:18.606782 : Epoch  4, Batch   3581, Loss  0.864300, Average Loss  0.866294, Time  0.169630
2021-09-11 10:16:18.674944 : Epoch  4, Batch    590, Loss  0.872937, Average Loss  0.869478, Time  0.237255
2021-09-11 10:16:20.258024 : Epoch  4, Batch   3582, Loss  0.829128, Average Loss  0.866046, Time  0.170038
2021-09-11 10:16:21.248178 : Epoch  4, Batch    591, Loss  0.843484, Average Loss  0.869312, Time  0.237098
2021-09-11 10:16:21.882020 : Epoch  4, Batch   3583, Loss  0.858138, Average Loss  0.865959, Time  0.170052
2021-09-11 10:16:23.504989 : Epoch  4, Batch   3584, Loss  0.852076, Average Loss  0.865826, Time  0.169755
2021-09-11 10:16:23.843993 : Epoch  4, Batch    592, Loss  0.885409, Average Loss  0.869356, Time  0.237893
2021-09-11 10:16:25.131766 : Epoch  4, Batch   3585, Loss  0.878952, Average Loss  0.865823, Time  0.169572
2021-09-11 10:16:26.408877 : Epoch  4, Batch    593, Loss  0.880185, Average Loss  0.869445, Time  0.237329
2021-09-11 10:16:26.750999 : Epoch  4, Batch   3586, Loss  0.871916, Average Loss  0.865898, Time  0.169969
2021-09-11 10:16:28.357999 : Epoch  4, Batch   3587, Loss  0.836388, Average Loss  0.865883, Time  0.169687
2021-09-11 10:16:29.006780 : Epoch  4, Batch    594, Loss  0.846742, Average Loss  0.869334, Time  0.240607
2021-09-11 10:16:29.967998 : Epoch  4, Batch   3588, Loss  0.859896, Average Loss  0.865929, Time  0.169820
2021-09-11 10:16:31.566888 : Epoch  4, Batch   3589, Loss  0.829518, Average Loss  0.865828, Time  0.169913
2021-09-11 10:16:31.596259 : Epoch  4, Batch    595, Loss  0.885168, Average Loss  0.869497, Time  0.237798
2021-09-11 10:16:33.185859 : Epoch  4, Batch   3590, Loss  0.878969, Average Loss  0.865952, Time  0.169566
2021-09-11 10:16:34.185810 : Epoch  4, Batch    596, Loss  0.861797, Average Loss  0.869357, Time  0.237912
2021-09-11 10:16:34.801996 : Epoch  4, Batch   3591, Loss  0.852743, Average Loss  0.865928, Time  0.169630
2021-09-11 10:16:36.401938 : Epoch  4, Batch   3592, Loss  0.881104, Average Loss  0.865938, Time  0.172134
2021-09-11 10:16:36.777992 : Epoch  4, Batch    597, Loss  0.855887, Average Loss  0.869370, Time  0.237435
2021-09-11 10:16:38.014792 : Epoch  4, Batch   3593, Loss  0.875592, Average Loss  0.865884, Time  0.169464
2021-09-11 10:16:39.365382 : Epoch  4, Batch    598, Loss  0.845806, Average Loss  0.869302, Time  0.237218
2021-09-11 10:16:39.626983 : Epoch  4, Batch   3594, Loss  0.829130, Average Loss  0.865772, Time  0.169739
2021-09-11 10:16:41.254776 : Epoch  4, Batch   3595, Loss  0.886705, Average Loss  0.865858, Time  0.169691
2021-09-11 10:16:41.956264 : Epoch  4, Batch    599, Loss  0.874160, Average Loss  0.869275, Time  0.238270
2021-09-11 10:16:42.860998 : Epoch  4, Batch   3596, Loss  0.906488, Average Loss  0.865874, Time  0.169592
2021-09-11 10:16:44.471003 : Epoch  4, Batch   3597, Loss  0.847074, Average Loss  0.865808, Time  0.169731
2021-09-11 10:16:44.551849 : Epoch  4, Batch    600, Loss  0.870821, Average Loss  0.869259, Time  0.237503
2021-09-11 10:16:46.082982 : Epoch  4, Batch   3598, Loss  0.818238, Average Loss  0.865549, Time  0.169913
2021-09-11 10:16:47.141916 : Epoch  4, Batch    601, Loss  0.859331, Average Loss  0.869271, Time  0.238883
2021-09-11 10:16:47.700798 : Epoch  4, Batch   3599, Loss  0.890313, Average Loss  0.865604, Time  0.169698
2021-09-11 10:16:49.291989 : Epoch  4, Batch   3600, Loss  0.879102, Average Loss  0.865745, Time  0.169634
2021-09-11 10:16:49.729160 : Epoch  4, Batch    602, Loss  0.854417, Average Loss  0.869236, Time  0.238714
2021-09-11 10:16:50.879989 : Epoch  4, Batch   3601, Loss  0.848397, Average Loss  0.865664, Time  0.169781
2021-09-11 10:16:52.322467 : Epoch  4, Batch    603, Loss  0.874895, Average Loss  0.869243, Time  0.237969
2021-09-11 10:16:52.472079 : Epoch  4, Batch   3602, Loss  0.832364, Average Loss  0.865548, Time  0.169715
2021-09-11 10:16:54.045006 : Epoch  4, Batch   3603, Loss  0.867231, Average Loss  0.865492, Time  0.169650
2021-09-11 10:16:54.914971 : Epoch  4, Batch    604, Loss  0.883513, Average Loss  0.869278, Time  0.238431
2021-09-11 10:16:55.629841 : Epoch  4, Batch   3604, Loss  0.868267, Average Loss  0.865391, Time  0.169759
2021-09-11 10:16:57.239984 : Epoch  4, Batch   3605, Loss  0.871820, Average Loss  0.865300, Time  0.169924
2021-09-11 10:16:57.501940 : Epoch  4, Batch    605, Loss  0.885921, Average Loss  0.869308, Time  0.237045
2021-09-11 10:16:58.857981 : Epoch  4, Batch   3606, Loss  0.855143, Average Loss  0.865326, Time  0.172165
2021-09-11 10:17:00.087677 : Epoch  4, Batch    606, Loss  0.864501, Average Loss  0.869307, Time  0.237415
2021-09-11 10:17:00.478901 : Epoch  4, Batch   3607, Loss  0.854269, Average Loss  0.865282, Time  0.169720
2021-09-11 10:17:02.097827 : Epoch  4, Batch   3608, Loss  0.875813, Average Loss  0.865272, Time  0.170017
2021-09-11 10:17:02.689903 : Epoch  4, Batch    607, Loss  0.878555, Average Loss  0.869334, Time  0.238126
2021-09-11 10:17:03.731984 : Epoch  4, Batch   3609, Loss  0.885520, Average Loss  0.865266, Time  0.169709
2021-09-11 10:17:05.277834 : Epoch  4, Batch    608, Loss  0.874961, Average Loss  0.869278, Time  0.237479
2021-09-11 10:17:05.351997 : Epoch  4, Batch   3610, Loss  0.885137, Average Loss  0.865338, Time  0.169450
2021-09-11 10:17:06.960988 : Epoch  4, Batch   3611, Loss  0.848854, Average Loss  0.865278, Time  0.169841
2021-09-11 10:17:07.864821 : Epoch  4, Batch    609, Loss  0.881982, Average Loss  0.869431, Time  0.237310
2021-09-11 10:17:08.572986 : Epoch  4, Batch   3612, Loss  0.874321, Average Loss  0.865272, Time  0.169395
2021-09-11 10:17:10.191004 : Epoch  4, Batch   3613, Loss  0.876748, Average Loss  0.865320, Time  0.169844
2021-09-11 10:17:10.465366 : Epoch  4, Batch    610, Loss  0.883283, Average Loss  0.869460, Time  0.237733
2021-09-11 10:17:11.820000 : Epoch  4, Batch   3614, Loss  0.902804, Average Loss  0.865534, Time  0.169596
2021-09-11 10:17:13.055963 : Epoch  4, Batch    611, Loss  0.864668, Average Loss  0.869523, Time  0.236990
2021-09-11 10:17:13.421809 : Epoch  4, Batch   3615, Loss  0.879313, Average Loss  0.865476, Time  0.169867
2021-09-11 10:17:15.040807 : Epoch  4, Batch   3616, Loss  0.871787, Average Loss  0.865348, Time  0.169746
2021-09-11 10:17:15.647864 : Epoch  4, Batch    612, Loss  0.875730, Average Loss  0.869511, Time  0.237217
2021-09-11 10:17:16.655005 : Epoch  4, Batch   3617, Loss  0.819381, Average Loss  0.865110, Time  0.169527
2021-09-11 10:17:18.237628 : Epoch  4, Batch    613, Loss  0.876473, Average Loss  0.869602, Time  0.237078
2021-09-11 10:17:18.252793 : Epoch  4, Batch   3618, Loss  0.866865, Average Loss  0.864926, Time  0.170710
2021-09-11 10:17:19.844288 : Epoch  4, Batch   3619, Loss  0.863624, Average Loss  0.864856, Time  0.169255
2021-09-11 10:17:20.810720 : Epoch  4, Batch    614, Loss  0.849649, Average Loss  0.869571, Time  0.237367
2021-09-11 10:17:21.427902 : Epoch  4, Batch   3620, Loss  0.869640, Average Loss  0.864713, Time  0.169819
2021-09-11 10:17:23.033008 : Epoch  4, Batch   3621, Loss  0.850295, Average Loss  0.864784, Time  0.169793
2021-09-11 10:17:23.408936 : Epoch  4, Batch    615, Loss  0.873832, Average Loss  0.869601, Time  0.237759
2021-09-11 10:17:24.632805 : Epoch  4, Batch   3622, Loss  0.880547, Average Loss  0.865007, Time  0.169947
2021-09-11 10:17:25.999049 : Epoch  4, Batch    616, Loss  0.857253, Average Loss  0.869490, Time  0.237348
2021-09-11 10:17:26.224819 : Epoch  4, Batch   3623, Loss  0.860418, Average Loss  0.864953, Time  0.169628
2021-09-11 10:17:27.838774 : Epoch  4, Batch   3624, Loss  0.873975, Average Loss  0.865180, Time  0.169686
2021-09-11 10:17:28.588787 : Epoch  4, Batch    617, Loss  0.868748, Average Loss  0.869401, Time  0.238000
2021-09-11 10:17:29.451009 : Epoch  4, Batch   3625, Loss  0.849382, Average Loss  0.865054, Time  0.169849
2021-09-11 10:17:31.049764 : Epoch  4, Batch   3626, Loss  0.858908, Average Loss  0.865070, Time  0.169927
2021-09-11 10:17:31.166068 : Epoch  4, Batch    618, Loss  0.852434, Average Loss  0.869234, Time  0.237175
2021-09-11 10:17:32.654983 : Epoch  4, Batch   3627, Loss  0.862452, Average Loss  0.865214, Time  0.169734
2021-09-11 10:17:33.753988 : Epoch  4, Batch    619, Loss  0.883414, Average Loss  0.869335, Time  0.237574
2021-09-11 10:17:34.282842 : Epoch  4, Batch   3628, Loss  0.846106, Average Loss  0.865122, Time  0.169827
2021-09-11 10:17:35.895733 : Epoch  4, Batch   3629, Loss  0.839119, Average Loss  0.865006, Time  0.171826
2021-09-11 10:17:36.338385 : Epoch  4, Batch    620, Loss  0.875624, Average Loss  0.869391, Time  0.236995
2021-09-11 10:17:37.508800 : Epoch  4, Batch   3630, Loss  0.866908, Average Loss  0.865054, Time  0.169836
2021-09-11 10:17:38.920037 : Epoch  4, Batch    621, Loss  0.862761, Average Loss  0.869357, Time  0.237125
2021-09-11 10:17:39.127762 : Epoch  4, Batch   3631, Loss  0.880219, Average Loss  0.865137, Time  0.169687
2021-09-11 10:17:40.727824 : Epoch  4, Batch   3632, Loss  0.861163, Average Loss  0.864978, Time  0.169630
2021-09-11 10:17:41.510119 : Epoch  4, Batch    622, Loss  0.871384, Average Loss  0.869328, Time  0.238012
2021-09-11 10:17:42.335805 : Epoch  4, Batch   3633, Loss  0.863996, Average Loss  0.864970, Time  0.169750
2021-09-11 10:17:43.938993 : Epoch  4, Batch   3634, Loss  0.824815, Average Loss  0.864889, Time  0.169518
2021-09-11 10:17:44.096463 : Epoch  4, Batch    623, Loss  0.874204, Average Loss  0.869453, Time  0.237189
2021-09-11 10:17:45.547744 : Epoch  4, Batch   3635, Loss  0.891706, Average Loss  0.865058, Time  0.170104
2021-09-11 10:17:46.692030 : Epoch  4, Batch    624, Loss  0.885601, Average Loss  0.869518, Time  0.238309
2021-09-11 10:17:47.160977 : Epoch  4, Batch   3636, Loss  0.856455, Average Loss  0.864996, Time  0.169494
2021-09-11 10:17:48.770834 : Epoch  4, Batch   3637, Loss  0.876463, Average Loss  0.864933, Time  0.170410
2021-09-11 10:17:49.292170 : Epoch  4, Batch    625, Loss  0.871571, Average Loss  0.869486, Time  0.239286
2021-09-11 10:17:50.386885 : Epoch  4, Batch   3638, Loss  0.825241, Average Loss  0.864642, Time  0.170004
2021-09-11 10:17:51.889930 : Epoch  4, Batch    626, Loss  0.867229, Average Loss  0.869424, Time  0.237242
2021-09-11 10:17:52.002997 : Epoch  4, Batch   3639, Loss  0.866965, Average Loss  0.864596, Time  0.169609
2021-09-11 10:17:53.608988 : Epoch  4, Batch   3640, Loss  0.833862, Average Loss  0.864431, Time  0.169689
2021-09-11 10:17:54.480083 : Epoch  4, Batch    627, Loss  0.872286, Average Loss  0.869383, Time  0.239243
2021-09-11 10:17:55.220012 : Epoch  4, Batch   3641, Loss  0.868349, Average Loss  0.864411, Time  0.169567
2021-09-11 10:17:56.838001 : Epoch  4, Batch   3642, Loss  0.907883, Average Loss  0.864635, Time  0.169731
2021-09-11 10:17:57.065012 : Epoch  4, Batch    628, Loss  0.869477, Average Loss  0.869371, Time  0.237860
2021-09-11 10:17:58.469087 : Epoch  4, Batch   3643, Loss  0.872148, Average Loss  0.864570, Time  0.169611
2021-09-11 10:17:59.639055 : Epoch  4, Batch    629, Loss  0.876130, Average Loss  0.869396, Time  0.237361
2021-09-11 10:18:00.083822 : Epoch  4, Batch   3644, Loss  0.878833, Average Loss  0.864738, Time  0.169565
2021-09-11 10:18:01.708737 : Epoch  4, Batch   3645, Loss  0.870587, Average Loss  0.864693, Time  0.169796
2021-09-11 10:18:02.220965 : Epoch  4, Batch    630, Loss  0.865595, Average Loss  0.869309, Time  0.237353
2021-09-11 10:18:03.309991 : Epoch  4, Batch   3646, Loss  0.885680, Average Loss  0.864820, Time  0.169527
2021-09-11 10:18:04.819374 : Epoch  4, Batch    631, Loss  0.873639, Average Loss  0.869412, Time  0.240417
2021-09-11 10:18:04.914755 : Epoch  4, Batch   3647, Loss  0.896023, Average Loss  0.865015, Time  0.169495
2021-09-11 10:18:06.521839 : Epoch  4, Batch   3648, Loss  0.867195, Average Loss  0.864893, Time  0.169603
2021-09-11 10:18:07.402093 : Epoch  4, Batch    632, Loss  0.863026, Average Loss  0.869355, Time  0.237246
2021-09-11 10:18:08.134840 : Epoch  4, Batch   3649, Loss  0.896019, Average Loss  0.864859, Time  0.169569
2021-09-11 10:18:09.755998 : Epoch  4, Batch   3650, Loss  0.858861, Average Loss  0.864955, Time  0.169496
2021-09-11 10:18:11.374995 : Epoch  4, Batch   3651, Loss  0.856052, Average Loss  0.864888, Time  0.169727
2021-09-11 10:18:12.978758 : Epoch  4, Batch   3652, Loss  0.872283, Average Loss  0.865137, Time  0.169835
2021-09-11 10:18:14.572750 : Epoch  4, Batch   3653, Loss  0.871073, Average Loss  0.865207, Time  0.169507
2021-09-11 10:18:16.176991 : Epoch  4, Batch   3654, Loss  0.888782, Average Loss  0.865290, Time  0.172335
2021-09-11 10:18:17.778788 : Epoch  4, Batch   3655, Loss  0.846347, Average Loss  0.865176, Time  0.169559
2021-09-11 10:18:19.396814 : Epoch  4, Batch   3656, Loss  0.869619, Average Loss  0.865295, Time  0.169567
2021-09-11 10:18:20.998998 : Epoch  4, Batch   3657, Loss  0.876881, Average Loss  0.865417, Time  0.169669
2021-09-11 10:18:22.613794 : Epoch  4, Batch   3658, Loss  0.866049, Average Loss  0.865383, Time  0.169873
2021-09-11 10:18:24.216993 : Epoch  4, Batch   3659, Loss  0.885207, Average Loss  0.865568, Time  0.169685
2021-09-11 10:18:25.827790 : Epoch  4, Batch   3660, Loss  0.854454, Average Loss  0.865737, Time  0.169651
2021-09-11 10:18:27.442797 : Epoch  4, Batch   3661, Loss  0.885994, Average Loss  0.865791, Time  0.170443
2021-09-11 10:18:29.059812 : Epoch  4, Batch   3662, Loss  0.858399, Average Loss  0.865805, Time  0.169625
2021-09-11 10:18:30.667808 : Epoch  4, Batch   3663, Loss  0.852593, Average Loss  0.865674, Time  0.169889
2021-09-11 10:18:32.276999 : Epoch  4, Batch   3664, Loss  0.870571, Average Loss  0.865825, Time  0.169917
2021-09-11 10:18:33.896005 : Epoch  4, Batch   3665, Loss  0.866775, Average Loss  0.865740, Time  0.169599
2021-09-11 10:18:35.513981 : Epoch  4, Batch   3666, Loss  0.858991, Average Loss  0.865718, Time  0.169728
2021-09-11 10:18:37.124001 : Epoch  4, Batch   3667, Loss  0.868633, Average Loss  0.865692, Time  0.170143
2021-09-11 10:22:09.929297 : CheckPoint: Validation Loss  0.00030117, Best Loss  0.00029019
2021-09-11 10:22:12.561054 : Epoch  4, Batch    633, Loss  0.876241, Average Loss  0.869536, Time  0.273716
2021-09-11 10:22:15.158897 : Epoch  4, Batch    634, Loss  0.876037, Average Loss  0.869614, Time  0.246189
2021-09-11 10:22:17.741489 : Epoch  4, Batch    635, Loss  0.870470, Average Loss  0.869688, Time  0.236983
2021-09-11 10:22:20.350546 : Epoch  4, Batch    636, Loss  0.882281, Average Loss  0.869753, Time  0.237444
2021-09-11 10:22:22.933821 : Epoch  4, Batch    637, Loss  0.877222, Average Loss  0.869834, Time  0.237348
2021-09-11 10:22:25.513420 : Epoch  4, Batch    638, Loss  0.862447, Average Loss  0.869945, Time  0.238278
2021-09-11 10:22:28.090194 : Epoch  4, Batch    639, Loss  0.865082, Average Loss  0.869918, Time  0.238176
2021-09-11 10:22:30.679028 : Epoch  4, Batch    640, Loss  0.857894, Average Loss  0.869867, Time  0.239052
2021-09-11 10:22:33.275853 : Epoch  4, Batch    641, Loss  0.877346, Average Loss  0.869864, Time  0.238686
2021-09-11 10:22:35.862859 : Epoch  4, Batch    642, Loss  0.867390, Average Loss  0.869820, Time  0.237758
2021-09-11 10:22:38.442094 : Epoch  4, Batch    643, Loss  0.888130, Average Loss  0.869909, Time  0.237371
2021-09-11 10:22:41.034972 : Epoch  4, Batch    644, Loss  0.864039, Average Loss  0.869856, Time  0.238383
2021-09-11 10:22:43.615192 : Epoch  4, Batch    645, Loss  0.889514, Average Loss  0.870053, Time  0.237458
2021-09-11 10:22:46.195145 : Epoch  4, Batch    646, Loss  0.858939, Average Loss  0.870000, Time  0.238586
2021-09-11 10:22:48.781401 : Epoch  4, Batch    647, Loss  0.869803, Average Loss  0.870048, Time  0.238168
2021-09-11 10:22:51.364184 : Epoch  4, Batch    648, Loss  0.885743, Average Loss  0.870068, Time  0.237321
2021-09-11 10:22:53.933125 : Epoch  4, Batch    649, Loss  0.876957, Average Loss  0.870028, Time  0.237080
2021-09-11 10:22:56.502864 : Epoch  4, Batch    650, Loss  0.882077, Average Loss  0.870062, Time  0.238955
2021-09-11 10:22:59.081392 : Epoch  4, Batch    651, Loss  0.860123, Average Loss  0.870044, Time  0.237277
2021-09-11 10:23:01.662103 : Epoch  4, Batch    652, Loss  0.861959, Average Loss  0.870071, Time  0.240281
2021-09-11 10:23:04.235137 : Epoch  4, Batch    653, Loss  0.879090, Average Loss  0.870088, Time  0.237672
2021-09-11 10:23:06.814976 : Epoch  4, Batch    654, Loss  0.869040, Average Loss  0.870028, Time  0.237638
2021-09-11 10:23:09.392024 : Epoch  4, Batch    655, Loss  0.860171, Average Loss  0.870002, Time  0.237114
2021-09-11 10:23:11.964114 : Epoch  4, Batch    656, Loss  0.880115, Average Loss  0.870145, Time  0.237402
2021-09-11 10:23:14.546887 : Epoch  4, Batch    657, Loss  0.836805, Average Loss  0.869981, Time  0.238278
2021-09-11 10:23:17.122559 : Epoch  4, Batch    658, Loss  0.871309, Average Loss  0.870074, Time  0.237366
2021-09-11 10:23:18.241728 : CheckPoint: Validation Loss  0.00058266, Best Loss  0.00057296
2021-09-11 10:23:19.704857 : Epoch  4, Batch    659, Loss  0.881323, Average Loss  0.870117, Time  0.238489
2021-09-11 10:23:19.876922 : Epoch  4, Batch   3668, Loss  0.860357, Average Loss  0.865452, Time  0.177595
2021-09-11 10:23:21.500742 : Epoch  4, Batch   3669, Loss  0.900401, Average Loss  0.865404, Time  0.170382
2021-09-11 10:23:22.293403 : Epoch  4, Batch    660, Loss  0.881599, Average Loss  0.870129, Time  0.240345
2021-09-11 10:23:23.140981 : Epoch  4, Batch   3670, Loss  0.840242, Average Loss  0.865275, Time  0.169972
2021-09-11 10:23:24.753975 : Epoch  4, Batch   3671, Loss  0.859195, Average Loss  0.865242, Time  0.172600
2021-09-11 10:23:24.887057 : Epoch  4, Batch    661, Loss  0.880052, Average Loss  0.870077, Time  0.239660
2021-09-11 10:23:26.388874 : Epoch  4, Batch   3672, Loss  0.877273, Average Loss  0.865422, Time  0.169854
2021-09-11 10:23:27.472107 : Epoch  4, Batch    662, Loss  0.858660, Average Loss  0.870029, Time  0.238735
2021-09-11 10:23:28.018000 : Epoch  4, Batch   3673, Loss  0.888401, Average Loss  0.865536, Time  0.170044
2021-09-11 10:23:29.671980 : Epoch  4, Batch   3674, Loss  0.853483, Average Loss  0.865526, Time  0.172121
2021-09-11 10:23:30.072364 : Epoch  4, Batch    663, Loss  0.870458, Average Loss  0.870035, Time  0.237470
2021-09-11 10:23:31.312991 : Epoch  4, Batch   3675, Loss  0.859554, Average Loss  0.865530, Time  0.172546
2021-09-11 10:23:32.645908 : Epoch  4, Batch    664, Loss  0.872220, Average Loss  0.870039, Time  0.237866
2021-09-11 10:23:32.946999 : Epoch  4, Batch   3676, Loss  0.859389, Average Loss  0.865475, Time  0.170073
2021-09-11 10:23:34.581997 : Epoch  4, Batch   3677, Loss  0.854359, Average Loss  0.865402, Time  0.169587
2021-09-11 10:23:35.224415 : Epoch  4, Batch    665, Loss  0.851445, Average Loss  0.870001, Time  0.237772
2021-09-11 10:23:36.216992 : Epoch  4, Batch   3678, Loss  0.841221, Average Loss  0.865275, Time  0.169800
2021-09-11 10:23:37.827628 : Epoch  4, Batch    666, Loss  0.876845, Average Loss  0.870065, Time  0.238866
2021-09-11 10:23:37.857001 : Epoch  4, Batch   3679, Loss  0.827398, Average Loss  0.865092, Time  0.169980
2021-09-11 10:23:39.476989 : Epoch  4, Batch   3680, Loss  0.856472, Average Loss  0.865130, Time  0.170079
2021-09-11 10:23:40.412379 : Epoch  4, Batch    667, Loss  0.889473, Average Loss  0.870252, Time  0.237636
2021-09-11 10:23:41.128889 : Epoch  4, Batch   3681, Loss  0.888192, Average Loss  0.865400, Time  0.170187
2021-09-11 10:23:42.768760 : Epoch  4, Batch   3682, Loss  0.863533, Average Loss  0.865267, Time  0.169890
2021-09-11 10:23:42.995507 : Epoch  4, Batch    668, Loss  0.867021, Average Loss  0.870307, Time  0.238458
2021-09-11 10:23:44.369991 : Epoch  4, Batch   3683, Loss  0.860946, Average Loss  0.865245, Time  0.169751
2021-09-11 10:23:45.568445 : Epoch  4, Batch    669, Loss  0.883218, Average Loss  0.870407, Time  0.237219
2021-09-11 10:23:45.981984 : Epoch  4, Batch   3684, Loss  0.893787, Average Loss  0.865472, Time  0.169759
2021-09-11 10:23:47.583984 : Epoch  4, Batch   3685, Loss  0.866126, Average Loss  0.865528, Time  0.169799
2021-09-11 10:23:48.146944 : Epoch  4, Batch    670, Loss  0.858761, Average Loss  0.870307, Time  0.237437
2021-09-11 10:23:49.216029 : Epoch  4, Batch   3686, Loss  0.840412, Average Loss  0.865420, Time  0.171722
2021-09-11 10:23:50.730397 : Epoch  4, Batch    671, Loss  0.870984, Average Loss  0.870281, Time  0.237474
2021-09-11 10:23:50.830034 : Epoch  4, Batch   3687, Loss  0.858870, Average Loss  0.865299, Time  0.176137
2021-09-11 10:23:52.447036 : Epoch  4, Batch   3688, Loss  0.848147, Average Loss  0.865075, Time  0.178099
2021-09-11 10:23:53.342942 : Epoch  4, Batch    672, Loss  0.864359, Average Loss  0.870246, Time  0.237828
2021-09-11 10:23:54.038803 : Epoch  4, Batch   3689, Loss  0.863966, Average Loss  0.865164, Time  0.171795
2021-09-11 10:23:55.657025 : Epoch  4, Batch   3690, Loss  0.865302, Average Loss  0.865303, Time  0.175016
2021-09-11 10:23:55.923929 : Epoch  4, Batch    673, Loss  0.895377, Average Loss  0.870227, Time  0.237473
2021-09-11 10:23:57.289039 : Epoch  4, Batch   3691, Loss  0.867890, Average Loss  0.865312, Time  0.170290
2021-09-11 10:23:58.512385 : Epoch  4, Batch    674, Loss  0.876921, Average Loss  0.870330, Time  0.238034
2021-09-11 10:23:58.904026 : Epoch  4, Batch   3692, Loss  0.883621, Average Loss  0.865397, Time  0.172180
2021-09-11 10:24:00.537729 : Epoch  4, Batch   3693, Loss  0.842957, Average Loss  0.865146, Time  0.174646
2021-09-11 10:24:01.118167 : Epoch  4, Batch    675, Loss  0.864955, Average Loss  0.870222, Time  0.237717
2021-09-11 10:24:02.140800 : Epoch  4, Batch   3694, Loss  0.886653, Average Loss  0.865331, Time  0.170285
2021-09-11 10:24:03.738148 : Epoch  4, Batch    676, Loss  0.884681, Average Loss  0.870337, Time  0.237613
2021-09-11 10:24:03.747035 : Epoch  4, Batch   3695, Loss  0.875498, Average Loss  0.865386, Time  0.172345
2021-09-11 10:24:05.373028 : Epoch  4, Batch   3696, Loss  0.884250, Average Loss  0.865581, Time  0.174031
2021-09-11 10:24:06.348424 : Epoch  4, Batch    677, Loss  0.857307, Average Loss  0.870308, Time  0.238009
2021-09-11 10:24:06.987762 : Epoch  4, Batch   3697, Loss  0.847440, Average Loss  0.865432, Time  0.170049
2021-09-11 10:24:08.610740 : Epoch  4, Batch   3698, Loss  0.852803, Average Loss  0.865595, Time  0.170382
2021-09-11 10:24:08.929261 : Epoch  4, Batch    678, Loss  0.861037, Average Loss  0.870259, Time  0.237952
2021-09-11 10:24:10.210050 : Epoch  4, Batch   3699, Loss  0.896424, Average Loss  0.865597, Time  0.173849
2021-09-11 10:24:11.507379 : Epoch  4, Batch    679, Loss  0.855992, Average Loss  0.870239, Time  0.238647
2021-09-11 10:24:11.822043 : Epoch  4, Batch   3700, Loss  0.872540, Average Loss  0.865630, Time  0.170833
2021-09-11 10:24:13.421028 : Epoch  4, Batch   3701, Loss  0.868623, Average Loss  0.865644, Time  0.171140
2021-09-11 10:24:14.089823 : Epoch  4, Batch    680, Loss  0.878419, Average Loss  0.870334, Time  0.237752
2021-09-11 10:24:15.027025 : Epoch  4, Batch   3702, Loss  0.849894, Average Loss  0.865564, Time  0.172386
2021-09-11 10:24:16.628037 : Epoch  4, Batch   3703, Loss  0.893231, Average Loss  0.865830, Time  0.171056
2021-09-11 10:24:16.674840 : Epoch  4, Batch    681, Loss  0.851503, Average Loss  0.870326, Time  0.237158
2021-09-11 10:24:18.262341 : Epoch  4, Batch   3704, Loss  0.887060, Average Loss  0.866028, Time  0.169870
2021-09-11 10:24:19.242540 : Epoch  4, Batch    682, Loss  0.855805, Average Loss  0.870215, Time  0.237417
2021-09-11 10:24:19.893868 : Epoch  4, Batch   3705, Loss  0.865649, Average Loss  0.866164, Time  0.170033
2021-09-11 10:24:21.493760 : Epoch  4, Batch   3706, Loss  0.833974, Average Loss  0.865927, Time  0.169868
2021-09-11 10:24:21.823908 : Epoch  4, Batch    683, Loss  0.875383, Average Loss  0.870252, Time  0.237426
2021-09-11 10:24:23.112793 : Epoch  4, Batch   3707, Loss  0.874308, Average Loss  0.865830, Time  0.174982
2021-09-11 10:24:24.401045 : Epoch  4, Batch    684, Loss  0.870897, Average Loss  0.870259, Time  0.238732
2021-09-11 10:24:24.734033 : Epoch  4, Batch   3708, Loss  0.882442, Average Loss  0.865818, Time  0.170069
2021-09-11 10:24:26.371792 : Epoch  4, Batch   3709, Loss  0.887172, Average Loss  0.865738, Time  0.170013
2021-09-11 10:24:26.979092 : Epoch  4, Batch    685, Loss  0.870129, Average Loss  0.870399, Time  0.238225
2021-09-11 10:24:27.988030 : Epoch  4, Batch   3710, Loss  0.891419, Average Loss  0.865801, Time  0.172235
2021-09-11 10:24:29.560985 : Epoch  4, Batch    686, Loss  0.889902, Average Loss  0.870528, Time  0.238957
2021-09-11 10:24:29.595930 : Epoch  4, Batch   3711, Loss  0.860318, Average Loss  0.865682, Time  0.170824
2021-09-11 10:24:29.672964 : Saving Model after 4-th Epoch.
2021-09-11 10:24:30.620663 : Epoch Finished.
2021-09-11 10:24:32.144152 : Epoch  4, Batch    687, Loss  0.862659, Average Loss  0.870455, Time  0.239099
2021-09-11 10:24:34.748013 : Epoch  4, Batch    688, Loss  0.862577, Average Loss  0.870363, Time  0.239488
2021-09-11 10:24:36.146672 : Batch Shuffled
2021-09-11 10:24:37.332138 : Epoch  4, Batch    689, Loss  0.859921, Average Loss  0.870262, Time  0.238687
2021-09-11 10:24:37.780758 : Epoch  5, Batch      1, Loss  0.862131, Average Loss  0.865578, Time  0.183294
2021-09-11 10:24:39.397034 : Epoch  5, Batch      2, Loss  0.846383, Average Loss  0.865452, Time  0.172044
2021-09-11 10:24:39.912158 : Epoch  4, Batch    690, Loss  0.861445, Average Loss  0.870253, Time  0.237808
2021-09-11 10:24:41.034766 : Epoch  5, Batch      3, Loss  0.873906, Average Loss  0.865508, Time  0.174059
2021-09-11 10:24:42.485690 : Epoch  4, Batch    691, Loss  0.876503, Average Loss  0.870301, Time  0.238526
2021-09-11 10:24:42.665820 : Epoch  5, Batch      4, Loss  0.855002, Average Loss  0.865488, Time  0.170238
2021-09-11 10:24:44.260742 : Epoch  5, Batch      5, Loss  0.881870, Average Loss  0.865716, Time  0.170815
2021-09-11 10:24:45.071273 : Epoch  4, Batch    692, Loss  0.873505, Average Loss  0.870322, Time  0.238244
2021-09-11 10:24:45.896765 : Epoch  5, Batch      6, Loss  0.858756, Average Loss  0.865740, Time  0.172438
2021-09-11 10:24:47.530029 : Epoch  5, Batch      7, Loss  0.891267, Average Loss  0.865784, Time  0.177889
2021-09-11 10:24:47.657884 : Epoch  4, Batch    693, Loss  0.881807, Average Loss  0.870356, Time  0.237581
2021-09-11 10:24:49.152035 : Epoch  5, Batch      8, Loss  0.905875, Average Loss  0.866057, Time  0.173714
2021-09-11 10:24:50.238923 : Epoch  4, Batch    694, Loss  0.835067, Average Loss  0.870117, Time  0.239604
2021-09-11 10:24:50.754615 : Epoch  5, Batch      9, Loss  0.866187, Average Loss  0.865855, Time  0.169792
2021-09-11 10:24:52.350811 : Epoch  5, Batch     10, Loss  0.880537, Average Loss  0.866061, Time  0.173619
2021-09-11 10:24:52.821872 : Epoch  4, Batch    695, Loss  0.875234, Average Loss  0.870165, Time  0.237900
2021-09-11 10:24:53.972020 : Epoch  5, Batch     11, Loss  0.874237, Average Loss  0.866054, Time  0.169919
2021-09-11 10:24:55.417288 : Epoch  4, Batch    696, Loss  0.864290, Average Loss  0.870123, Time  0.238550
2021-09-11 10:24:55.589027 : Epoch  5, Batch     12, Loss  0.880938, Average Loss  0.866178, Time  0.173262
2021-09-11 10:24:57.199861 : Epoch  5, Batch     13, Loss  0.894464, Average Loss  0.866402, Time  0.171972
2021-09-11 10:24:58.012804 : Epoch  4, Batch    697, Loss  0.879797, Average Loss  0.870272, Time  0.237415
2021-09-11 10:24:58.832034 : Epoch  5, Batch     14, Loss  0.865913, Average Loss  0.866354, Time  0.171663
2021-09-11 10:25:00.473768 : Epoch  5, Batch     15, Loss  0.868393, Average Loss  0.866319, Time  0.180516
2021-09-11 10:25:00.590794 : Epoch  4, Batch    698, Loss  0.848241, Average Loss  0.870237, Time  0.241488
2021-09-11 10:25:02.095029 : Epoch  5, Batch     16, Loss  0.901108, Average Loss  0.866534, Time  0.170402
2021-09-11 10:25:03.163029 : Epoch  4, Batch    699, Loss  0.873026, Average Loss  0.870162, Time  0.237717
2021-09-11 10:25:03.702846 : Epoch  5, Batch     17, Loss  0.859490, Average Loss  0.866470, Time  0.172184
2021-09-11 10:25:05.310032 : Epoch  5, Batch     18, Loss  0.852917, Average Loss  0.866397, Time  0.170249
2021-09-11 10:25:05.769777 : Epoch  4, Batch    700, Loss  0.877671, Average Loss  0.870227, Time  0.238524
2021-09-11 10:25:06.918800 : Epoch  5, Batch     19, Loss  0.853590, Average Loss  0.866333, Time  0.180774
2021-09-11 10:25:08.350830 : Epoch  4, Batch    701, Loss  0.907810, Average Loss  0.870448, Time  0.238189
2021-09-11 10:25:08.545872 : Epoch  5, Batch     20, Loss  0.874947, Average Loss  0.866578, Time  0.174017
2021-09-11 10:25:10.166031 : Epoch  5, Batch     21, Loss  0.856756, Average Loss  0.866605, Time  0.175550
2021-09-11 10:25:10.927031 : Epoch  4, Batch    702, Loss  0.867716, Average Loss  0.870475, Time  0.237422
2021-09-11 10:25:11.794946 : Epoch  5, Batch     22, Loss  0.889099, Average Loss  0.866710, Time  0.175610
2021-09-11 10:25:13.422028 : Epoch  5, Batch     23, Loss  0.862236, Average Loss  0.866791, Time  0.169886
2021-09-11 10:25:13.514620 : Epoch  4, Batch    703, Loss  0.881277, Average Loss  0.870563, Time  0.238052
2021-09-11 10:25:15.047066 : Epoch  5, Batch     24, Loss  0.877600, Average Loss  0.866899, Time  0.170437
2021-09-11 10:25:16.113338 : Epoch  4, Batch    704, Loss  0.874290, Average Loss  0.870476, Time  0.238372
2021-09-11 10:25:16.686752 : Epoch  5, Batch     25, Loss  0.880141, Average Loss  0.866891, Time  0.170220
2021-09-11 10:25:18.349866 : Epoch  5, Batch     26, Loss  0.870078, Average Loss  0.866885, Time  0.175699
2021-09-11 10:25:18.710241 : Epoch  4, Batch    705, Loss  0.860144, Average Loss  0.870468, Time  0.237527
2021-09-11 10:25:19.969753 : Epoch  5, Batch     27, Loss  0.866386, Average Loss  0.866919, Time  0.171073
2021-09-11 10:25:21.275099 : Epoch  4, Batch    706, Loss  0.868382, Average Loss  0.870396, Time  0.237571
2021-09-11 10:25:21.611032 : Epoch  5, Batch     28, Loss  0.852348, Average Loss  0.866810, Time  0.172384
2021-09-11 10:25:23.229738 : Epoch  5, Batch     29, Loss  0.851384, Average Loss  0.866691, Time  0.170088
2021-09-11 10:25:23.859871 : Epoch  4, Batch    707, Loss  0.871813, Average Loss  0.870308, Time  0.243620
2021-09-11 10:25:24.827032 : Epoch  5, Batch     30, Loss  0.896746, Average Loss  0.866863, Time  0.173625
2021-09-11 10:25:26.431037 : Epoch  5, Batch     31, Loss  0.871972, Average Loss  0.866986, Time  0.172436
2021-09-11 10:25:26.448569 : Epoch  4, Batch    708, Loss  0.870558, Average Loss  0.870336, Time  0.237389
2021-09-11 10:25:28.030030 : Epoch  5, Batch     32, Loss  0.854507, Average Loss  0.866943, Time  0.174203
2021-09-11 10:25:29.031839 : Epoch  4, Batch    709, Loss  0.862577, Average Loss  0.870228, Time  0.237753
2021-09-11 10:25:29.633817 : Epoch  5, Batch     33, Loss  0.870477, Average Loss  0.867098, Time  0.171921
2021-09-11 10:25:31.245028 : Epoch  5, Batch     34, Loss  0.839378, Average Loss  0.866860, Time  0.180053
2021-09-11 10:25:31.616928 : Epoch  4, Batch    710, Loss  0.864253, Average Loss  0.870175, Time  0.241414
2021-09-11 10:25:32.840773 : Epoch  5, Batch     35, Loss  0.871906, Average Loss  0.866896, Time  0.172447
2021-09-11 10:25:34.197841 : Epoch  4, Batch    711, Loss  0.862447, Average Loss  0.870208, Time  0.237303
2021-09-11 10:25:34.419880 : Epoch  5, Batch     36, Loss  0.871826, Average Loss  0.867032, Time  0.171722
2021-09-11 10:25:36.043801 : Epoch  5, Batch     37, Loss  0.880576, Average Loss  0.867318, Time  0.187875
2021-09-11 10:25:36.780944 : Epoch  4, Batch    712, Loss  0.892117, Average Loss  0.870295, Time  0.240108
2021-09-11 10:25:37.673896 : Epoch  5, Batch     38, Loss  0.900273, Average Loss  0.867602, Time  0.179621
2021-09-11 10:25:39.302030 : Epoch  5, Batch     39, Loss  0.850486, Average Loss  0.867518, Time  0.170193
2021-09-11 10:25:39.363016 : Epoch  4, Batch    713, Loss  0.889620, Average Loss  0.870425, Time  0.237973
2021-09-11 10:25:40.917034 : Epoch  5, Batch     40, Loss  0.867954, Average Loss  0.867534, Time  0.170228
2021-09-11 10:25:41.943785 : Epoch  4, Batch    714, Loss  0.883432, Average Loss  0.870582, Time  0.237527
2021-09-11 10:25:42.517853 : Epoch  5, Batch     41, Loss  0.865627, Average Loss  0.867554, Time  0.169990
2021-09-11 10:25:44.139096 : Epoch  5, Batch     42, Loss  0.848249, Average Loss  0.867341, Time  0.172038
2021-09-11 10:25:44.522132 : Epoch  4, Batch    715, Loss  0.882246, Average Loss  0.870612, Time  0.238404
2021-09-11 10:25:45.773766 : Epoch  5, Batch     43, Loss  0.897251, Average Loss  0.867698, Time  0.169923
2021-09-11 10:25:47.094381 : Epoch  4, Batch    716, Loss  0.868341, Average Loss  0.870501, Time  0.237731
2021-09-11 10:25:47.420032 : Epoch  5, Batch     44, Loss  0.874505, Average Loss  0.867601, Time  0.172715
2021-09-11 10:25:49.040036 : Epoch  5, Batch     45, Loss  0.842600, Average Loss  0.867387, Time  0.170756
2021-09-11 10:25:49.675386 : Epoch  4, Batch    717, Loss  0.857182, Average Loss  0.870493, Time  0.237493
2021-09-11 10:25:50.658791 : Epoch  5, Batch     46, Loss  0.903100, Average Loss  0.867535, Time  0.170450
2021-09-11 10:25:52.251216 : Epoch  4, Batch    718, Loss  0.886526, Average Loss  0.870579, Time  0.237619
2021-09-11 10:25:52.285818 : Epoch  5, Batch     47, Loss  0.863688, Average Loss  0.867361, Time  0.171710
2021-09-11 10:25:53.916792 : Epoch  5, Batch     48, Loss  0.885880, Average Loss  0.867461, Time  0.186064
2021-09-11 10:25:54.826935 : Epoch  4, Batch    719, Loss  0.867799, Average Loss  0.870555, Time  0.237318
2021-09-11 10:25:55.519032 : Epoch  5, Batch     49, Loss  0.853170, Average Loss  0.867455, Time  0.169692
2021-09-11 10:25:57.145031 : Epoch  5, Batch     50, Loss  0.881434, Average Loss  0.867523, Time  0.175894
2021-09-11 10:25:57.420507 : Epoch  4, Batch    720, Loss  0.860357, Average Loss  0.870604, Time  0.241044
2021-09-11 10:25:58.754029 : Epoch  5, Batch     51, Loss  0.834525, Average Loss  0.867406, Time  0.178105
2021-09-11 10:25:59.996210 : Epoch  4, Batch    721, Loss  0.860891, Average Loss  0.870504, Time  0.238042
2021-09-11 10:26:00.348796 : Epoch  5, Batch     52, Loss  0.859919, Average Loss  0.867342, Time  0.175560
2021-09-11 10:26:01.963031 : Epoch  5, Batch     53, Loss  0.855610, Average Loss  0.867290, Time  0.171722
2021-09-11 10:26:02.595908 : Epoch  4, Batch    722, Loss  0.859089, Average Loss  0.870487, Time  0.238664
2021-09-11 10:26:03.582030 : Epoch  5, Batch     54, Loss  0.854256, Average Loss  0.867125, Time  0.185474
2021-09-11 10:26:05.200761 : Epoch  5, Batch     55, Loss  0.890724, Average Loss  0.867254, Time  0.169960
2021-09-11 10:26:06.828034 : Epoch  5, Batch     56, Loss  0.866404, Average Loss  0.867076, Time  0.174977
2021-09-11 10:26:07.769383 : Epoch  4, Batch    724, Loss  0.885749, Average Loss  0.870633, Time  0.237000
2021-09-11 10:26:10.348159 : Epoch  4, Batch    725, Loss  0.860694, Average Loss  0.870608, Time  0.236727
2021-09-11 10:26:12.927210 : Epoch  4, Batch    726, Loss  0.874852, Average Loss  0.870602, Time  0.238258
2021-09-11 10:26:15.507842 : Epoch  4, Batch    727, Loss  0.859201, Average Loss  0.870513, Time  0.239099
2021-09-11 10:26:18.091535 : Epoch  4, Batch    728, Loss  0.883749, Average Loss  0.870484, Time  0.237378
2021-09-11 10:26:20.663863 : Epoch  4, Batch    729, Loss  0.882657, Average Loss  0.870444, Time  0.237698
2021-09-11 10:26:23.247981 : Epoch  4, Batch    730, Loss  0.854986, Average Loss  0.870414, Time  0.237358
2021-09-11 10:26:25.838903 : Epoch  4, Batch    731, Loss  0.878003, Average Loss  0.870516, Time  0.237649
2021-09-11 10:26:28.418975 : Epoch  4, Batch    732, Loss  0.878578, Average Loss  0.870497, Time  0.238433
2021-09-11 10:30:31.267741 : CheckPoint: Validation Loss  0.00030049, Best Loss  0.00029019
2021-09-11 10:30:33.879962 : Epoch  4, Batch    733, Loss  0.868075, Average Loss  0.870492, Time  0.259277
2021-09-11 10:30:36.483895 : Epoch  4, Batch    734, Loss  0.868368, Average Loss  0.870405, Time  0.244765
2021-09-11 10:30:39.080826 : Epoch  4, Batch    735, Loss  0.855771, Average Loss  0.870223, Time  0.236829
2021-09-11 10:30:41.669543 : Epoch  4, Batch    736, Loss  0.874280, Average Loss  0.870202, Time  0.236803
2021-09-11 10:30:44.256103 : Epoch  4, Batch    737, Loss  0.862478, Average Loss  0.870121, Time  0.237040
2021-09-11 10:30:46.842855 : Epoch  4, Batch    738, Loss  0.872619, Average Loss  0.870142, Time  0.237347
2021-09-11 10:30:47.780741 : CheckPoint: Validation Loss  0.00060592, Best Loss  0.00057296
2021-09-11 10:30:49.424762 : Epoch  5, Batch     57, Loss  0.873256, Average Loss  0.867006, Time  0.177837
2021-09-11 10:30:49.429019 : Epoch  4, Batch    739, Loss  0.863286, Average Loss  0.870115, Time  0.237916
2021-09-11 10:30:51.032729 : Epoch  5, Batch     58, Loss  0.867827, Average Loss  0.866856, Time  0.170546
2021-09-11 10:30:52.033966 : Epoch  4, Batch    740, Loss  0.879046, Average Loss  0.870241, Time  0.238061
2021-09-11 10:30:52.621652 : Epoch  5, Batch     59, Loss  0.883786, Average Loss  0.867018, Time  0.170066
2021-09-11 10:30:54.222767 : Epoch  5, Batch     60, Loss  0.866633, Average Loss  0.866963, Time  0.173054
2021-09-11 10:30:54.623872 : Epoch  4, Batch    741, Loss  0.893937, Average Loss  0.870296, Time  0.237250
2021-09-11 10:30:55.830018 : Epoch  5, Batch     61, Loss  0.875636, Average Loss  0.867019, Time  0.176195
2021-09-11 10:30:57.201921 : Epoch  4, Batch    742, Loss  0.863765, Average Loss  0.870324, Time  0.237371
2021-09-11 10:30:57.452068 : Epoch  5, Batch     62, Loss  0.854332, Average Loss  0.866958, Time  0.173308
2021-09-11 10:30:59.024033 : Epoch  5, Batch     63, Loss  0.867199, Average Loss  0.867007, Time  0.169847
2021-09-11 10:30:59.795935 : Epoch  4, Batch    743, Loss  0.853945, Average Loss  0.870297, Time  0.239451
2021-09-11 10:31:00.623015 : Epoch  5, Batch     64, Loss  0.854182, Average Loss  0.866918, Time  0.170170
2021-09-11 10:31:02.259802 : Epoch  5, Batch     65, Loss  0.896058, Average Loss  0.866975, Time  0.171903
2021-09-11 10:31:02.395902 : Epoch  4, Batch    744, Loss  0.874781, Average Loss  0.870313, Time  0.237723
2021-09-11 10:31:03.869035 : Epoch  5, Batch     66, Loss  0.842328, Average Loss  0.866753, Time  0.171689
2021-09-11 10:31:04.964559 : Epoch  4, Batch    745, Loss  0.886422, Average Loss  0.870335, Time  0.236802
2021-09-11 10:31:05.461019 : Epoch  5, Batch     67, Loss  0.867529, Average Loss  0.866767, Time  0.173476
2021-09-11 10:31:07.077055 : Epoch  5, Batch     68, Loss  0.868436, Average Loss  0.866848, Time  0.170845
2021-09-11 10:31:07.564402 : Epoch  4, Batch    746, Loss  0.868617, Average Loss  0.870373, Time  0.239392
2021-09-11 10:31:08.692845 : Epoch  5, Batch     69, Loss  0.875908, Average Loss  0.866968, Time  0.183734
2021-09-11 10:31:10.144859 : Epoch  4, Batch    747, Loss  0.866799, Average Loss  0.870461, Time  0.237245
2021-09-11 10:31:10.268515 : Epoch  5, Batch     70, Loss  0.869805, Average Loss  0.866996, Time  0.169751
2021-09-11 10:31:11.861913 : Epoch  5, Batch     71, Loss  0.866926, Average Loss  0.867185, Time  0.178905
2021-09-11 10:31:12.725370 : Epoch  4, Batch    748, Loss  0.868191, Average Loss  0.870481, Time  0.237074
2021-09-11 10:31:13.436101 : Epoch  5, Batch     72, Loss  0.883818, Average Loss  0.867313, Time  0.173477
2021-09-11 10:31:15.083029 : Epoch  5, Batch     73, Loss  0.863540, Average Loss  0.867370, Time  0.176647
2021-09-11 10:31:15.310363 : Epoch  4, Batch    749, Loss  0.832891, Average Loss  0.870309, Time  0.237789
2021-09-11 10:31:16.686029 : Epoch  5, Batch     74, Loss  0.872095, Average Loss  0.867336, Time  0.174524
2021-09-11 10:31:17.882258 : Epoch  4, Batch    750, Loss  0.864400, Average Loss  0.870315, Time  0.237898
2021-09-11 10:31:18.297845 : Epoch  5, Batch     75, Loss  0.873104, Average Loss  0.867342, Time  0.184125
2021-09-11 10:31:19.887033 : Epoch  5, Batch     76, Loss  0.860321, Average Loss  0.867462, Time  0.169903
2021-09-11 10:31:20.472090 : Epoch  4, Batch    751, Loss  0.864078, Average Loss  0.870151, Time  0.238378
2021-09-11 10:31:21.487028 : Epoch  5, Batch     77, Loss  0.873197, Average Loss  0.867528, Time  0.179056
2021-09-11 10:31:23.076027 : Epoch  5, Batch     78, Loss  0.870996, Average Loss  0.867736, Time  0.169760
2021-09-11 10:31:24.725028 : Epoch  5, Batch     79, Loss  0.885190, Average Loss  0.867767, Time  0.179957
2021-09-11 10:31:25.652406 : Epoch  4, Batch    753, Loss  0.875806, Average Loss  0.870241, Time  0.237294
2021-09-11 10:31:26.345749 : Epoch  5, Batch     80, Loss  0.879865, Average Loss  0.867902, Time  0.170086
2021-09-11 10:31:27.965746 : Epoch  5, Batch     81, Loss  0.857882, Average Loss  0.867786, Time  0.173280
2021-09-11 10:31:28.243182 : Epoch  4, Batch    754, Loss  0.885417, Average Loss  0.870351, Time  0.237849
2021-09-11 10:31:29.590779 : Epoch  5, Batch     82, Loss  0.879114, Average Loss  0.867804, Time  0.173044
2021-09-11 10:31:30.825357 : Epoch  4, Batch    755, Loss  0.869059, Average Loss  0.870326, Time  0.237288
2021-09-11 10:31:31.189816 : Epoch  5, Batch     83, Loss  0.855753, Average Loss  0.867937, Time  0.174078
2021-09-11 10:31:32.806825 : Epoch  5, Batch     84, Loss  0.849600, Average Loss  0.867751, Time  0.172911
2021-09-11 10:31:33.408215 : Epoch  4, Batch    756, Loss  0.876246, Average Loss  0.870308, Time  0.239188
2021-09-11 10:31:34.429828 : Epoch  5, Batch     85, Loss  0.880819, Average Loss  0.867623, Time  0.169932
2021-09-11 10:31:35.986231 : Epoch  4, Batch    757, Loss  0.874402, Average Loss  0.870250, Time  0.237859
2021-09-11 10:31:36.029753 : Epoch  5, Batch     86, Loss  0.880793, Average Loss  0.867792, Time  0.177818
2021-09-11 10:31:37.618026 : Epoch  5, Batch     87, Loss  0.873450, Average Loss  0.868068, Time  0.175638
2021-09-11 10:31:38.592867 : Epoch  4, Batch    758, Loss  0.880940, Average Loss  0.870358, Time  0.238478
2021-09-11 10:31:39.210034 : Epoch  5, Batch     88, Loss  0.866461, Average Loss  0.867948, Time  0.173072
2021-09-11 10:31:40.798020 : Epoch  5, Batch     89, Loss  0.862157, Average Loss  0.867864, Time  0.170563
2021-09-11 10:31:41.176369 : Epoch  4, Batch    759, Loss  0.840106, Average Loss  0.870241, Time  0.237157
2021-09-11 10:31:42.376040 : Epoch  5, Batch     90, Loss  0.861381, Average Loss  0.867929, Time  0.173241
2021-09-11 10:31:43.758325 : Epoch  4, Batch    760, Loss  0.901137, Average Loss  0.870302, Time  0.237366
2021-09-11 10:31:43.997031 : Epoch  5, Batch     91, Loss  0.882119, Average Loss  0.868177, Time  0.170306
2021-09-11 10:31:45.588029 : Epoch  5, Batch     92, Loss  0.864342, Average Loss  0.868163, Time  0.174230
2021-09-11 10:31:46.336402 : Epoch  4, Batch    761, Loss  0.881402, Average Loss  0.870361, Time  0.237993
2021-09-11 10:31:47.178032 : Epoch  5, Batch     93, Loss  0.895522, Average Loss  0.868299, Time  0.169991
2021-09-11 10:31:48.782089 : Epoch  5, Batch     94, Loss  0.849477, Average Loss  0.868188, Time  0.178766
2021-09-11 10:31:48.927888 : Epoch  4, Batch    762, Loss  0.874275, Average Loss  0.870412, Time  0.238359
2021-09-11 10:31:50.374755 : Epoch  5, Batch     95, Loss  0.889945, Average Loss  0.868362, Time  0.172539
2021-09-11 10:31:51.515388 : Epoch  4, Batch    763, Loss  0.839020, Average Loss  0.870243, Time  0.236802
2021-09-11 10:31:51.974027 : Epoch  5, Batch     96, Loss  0.845813, Average Loss  0.868319, Time  0.169888
2021-09-11 10:31:53.565796 : Epoch  5, Batch     97, Loss  0.858706, Average Loss  0.868234, Time  0.173024
2021-09-11 10:31:54.127857 : Epoch  4, Batch    764, Loss  0.869200, Average Loss  0.870173, Time  0.239555
2021-09-11 10:31:55.171029 : Epoch  5, Batch     98, Loss  0.876948, Average Loss  0.868191, Time  0.180130
2021-09-11 10:31:56.753378 : Epoch  4, Batch    765, Loss  0.880541, Average Loss  0.870084, Time  0.237869
2021-09-11 10:31:56.790024 : Epoch  5, Batch     99, Loss  0.879795, Average Loss  0.868164, Time  0.169649
2021-09-11 10:31:58.407903 : Epoch  5, Batch    100, Loss  0.873804, Average Loss  0.868289, Time  0.174351
2021-09-11 10:31:59.344039 : Epoch  4, Batch    766, Loss  0.857335, Average Loss  0.870070, Time  0.237733
2021-09-11 10:32:00.044793 : Epoch  5, Batch    101, Loss  0.865853, Average Loss  0.868247, Time  0.177060
2021-09-11 10:32:01.660057 : Epoch  5, Batch    102, Loss  0.870455, Average Loss  0.868215, Time  0.172915
2021-09-11 10:32:01.935603 : Epoch  4, Batch    767, Loss  0.881324, Average Loss  0.870073, Time  0.236886
2021-09-11 10:32:03.293031 : Epoch  5, Batch    103, Loss  0.890507, Average Loss  0.868154, Time  0.173489
2021-09-11 10:32:04.507297 : Epoch  4, Batch    768, Loss  0.891050, Average Loss  0.870180, Time  0.237516
2021-09-11 10:32:04.887769 : Epoch  5, Batch    104, Loss  0.853045, Average Loss  0.868022, Time  0.170387
2021-09-11 10:32:06.487072 : Epoch  5, Batch    105, Loss  0.859169, Average Loss  0.867959, Time  0.170045
2021-09-11 10:32:07.083897 : Epoch  4, Batch    769, Loss  0.868985, Average Loss  0.870085, Time  0.237520
2021-09-11 10:32:08.113039 : Epoch  5, Batch    106, Loss  0.872716, Average Loss  0.868226, Time  0.179692
2021-09-11 10:32:09.668865 : Epoch  4, Batch    770, Loss  0.873849, Average Loss  0.870117, Time  0.237334
2021-09-11 10:32:09.711748 : Epoch  5, Batch    107, Loss  0.877188, Average Loss  0.868277, Time  0.174070
2021-09-11 10:32:11.322878 : Epoch  5, Batch    108, Loss  0.864814, Average Loss  0.868283, Time  0.171772
2021-09-11 10:32:12.241393 : Epoch  4, Batch    771, Loss  0.837163, Average Loss  0.870029, Time  0.237435
2021-09-11 10:32:12.923055 : Epoch  5, Batch    109, Loss  0.847046, Average Loss  0.868170, Time  0.177257
2021-09-11 10:32:14.573824 : Epoch  5, Batch    110, Loss  0.882285, Average Loss  0.868330, Time  0.178031
2021-09-11 10:32:14.818609 : Epoch  4, Batch    772, Loss  0.866682, Average Loss  0.869932, Time  0.237370
2021-09-11 10:32:16.167195 : Epoch  5, Batch    111, Loss  0.856612, Average Loss  0.868211, Time  0.175772
2021-09-11 10:32:17.395875 : Epoch  4, Batch    773, Loss  0.861430, Average Loss  0.869856, Time  0.237466
2021-09-11 10:32:17.732223 : Epoch  5, Batch    112, Loss  0.900315, Average Loss  0.868410, Time  0.170257
2021-09-11 10:32:19.304802 : Epoch  5, Batch    113, Loss  0.874238, Average Loss  0.868412, Time  0.178753
2021-09-11 10:32:19.990813 : Epoch  4, Batch    774, Loss  0.861389, Average Loss  0.869954, Time  0.237661
2021-09-11 10:32:20.889651 : Epoch  5, Batch    114, Loss  0.841457, Average Loss  0.868372, Time  0.172683
2021-09-11 10:32:22.463905 : Epoch  5, Batch    115, Loss  0.885288, Average Loss  0.868504, Time  0.178723
2021-09-11 10:32:22.571897 : Epoch  4, Batch    775, Loss  0.887255, Average Loss  0.870095, Time  0.238448
2021-09-11 10:32:24.097068 : Epoch  5, Batch    116, Loss  0.859603, Average Loss  0.868490, Time  0.171976
2021-09-11 10:32:25.155715 : Epoch  4, Batch    776, Loss  0.873197, Average Loss  0.870094, Time  0.238170
2021-09-11 10:32:25.702090 : Epoch  5, Batch    117, Loss  0.900439, Average Loss  0.868761, Time  0.172500
2021-09-11 10:32:27.319794 : Epoch  5, Batch    118, Loss  0.869344, Average Loss  0.868912, Time  0.174649
2021-09-11 10:32:27.746947 : Epoch  4, Batch    777, Loss  0.864336, Average Loss  0.870042, Time  0.237908
2021-09-11 10:32:28.940797 : Epoch  5, Batch    119, Loss  0.863584, Average Loss  0.868896, Time  0.187520
2021-09-11 10:32:30.334427 : Epoch  4, Batch    778, Loss  0.887250, Average Loss  0.870022, Time  0.238671
2021-09-11 10:32:30.561032 : Epoch  5, Batch    120, Loss  0.887787, Average Loss  0.868934, Time  0.172930
2021-09-11 10:32:32.156775 : Epoch  5, Batch    121, Loss  0.840241, Average Loss  0.868829, Time  0.174036
2021-09-11 10:32:32.919351 : Epoch  4, Batch    779, Loss  0.879343, Average Loss  0.870017, Time  0.237989
2021-09-11 10:32:33.776787 : Epoch  5, Batch    122, Loss  0.871543, Average Loss  0.868867, Time  0.172700
2021-09-11 10:32:35.384770 : Epoch  5, Batch    123, Loss  0.869774, Average Loss  0.869091, Time  0.172877
2021-09-11 10:32:35.497404 : Epoch  4, Batch    780, Loss  0.853951, Average Loss  0.870016, Time  0.237046
2021-09-11 10:32:36.975756 : Epoch  5, Batch    124, Loss  0.852655, Average Loss  0.868896, Time  0.173210
2021-09-11 10:32:38.069790 : Epoch  4, Batch    781, Loss  0.848597, Average Loss  0.869919, Time  0.237781
2021-09-11 10:32:38.587827 : Epoch  5, Batch    125, Loss  0.868133, Average Loss  0.868955, Time  0.170575
2021-09-11 10:32:40.204049 : Epoch  5, Batch    126, Loss  0.856842, Average Loss  0.868857, Time  0.171637
2021-09-11 10:32:40.665122 : Epoch  4, Batch    782, Loss  0.869506, Average Loss  0.869960, Time  0.239094
2021-09-11 10:32:41.824658 : Epoch  5, Batch    127, Loss  0.886663, Average Loss  0.869164, Time  0.179981
2021-09-11 10:32:43.258933 : Epoch  4, Batch    783, Loss  0.856082, Average Loss  0.869885, Time  0.237750
2021-09-11 10:32:43.405757 : Epoch  5, Batch    128, Loss  0.851204, Average Loss  0.869085, Time  0.170002
2021-09-11 10:32:45.005038 : Epoch  5, Batch    129, Loss  0.871116, Average Loss  0.869271, Time  0.173670
2021-09-11 10:32:45.845921 : Epoch  4, Batch    784, Loss  0.872956, Average Loss  0.869949, Time  0.237182
2021-09-11 10:32:46.638039 : Epoch  5, Batch    130, Loss  0.892149, Average Loss  0.869390, Time  0.173030
2021-09-11 10:32:48.269037 : Epoch  5, Batch    131, Loss  0.873768, Average Loss  0.869220, Time  0.171794
2021-09-11 10:32:48.427161 : Epoch  4, Batch    785, Loss  0.862593, Average Loss  0.870004, Time  0.238708
2021-09-11 10:32:49.914200 : Epoch  5, Batch    132, Loss  0.860717, Average Loss  0.869162, Time  0.181090
2021-09-11 10:32:51.010384 : Epoch  4, Batch    786, Loss  0.874458, Average Loss  0.870030, Time  0.238504
2021-09-11 10:32:51.515933 : Epoch  5, Batch    133, Loss  0.869073, Average Loss  0.869114, Time  0.170000
2021-09-11 10:32:53.101317 : Epoch  5, Batch    134, Loss  0.880480, Average Loss  0.869163, Time  0.175512
2021-09-11 10:32:53.595003 : Epoch  4, Batch    787, Loss  0.860773, Average Loss  0.870071, Time  0.237259
2021-09-11 10:32:54.724787 : Epoch  5, Batch    135, Loss  0.850101, Average Loss  0.868985, Time  0.170565
2021-09-11 10:32:56.176371 : Epoch  4, Batch    788, Loss  0.833081, Average Loss  0.869925, Time  0.238586
2021-09-11 10:32:56.336058 : Epoch  5, Batch    136, Loss  0.845265, Average Loss  0.868731, Time  0.173775
2021-09-11 10:32:57.934938 : Epoch  5, Batch    137, Loss  0.870930, Average Loss  0.868750, Time  0.175324
2021-09-11 10:32:58.761992 : Epoch  4, Batch    789, Loss  0.867608, Average Loss  0.869930, Time  0.238533
2021-09-11 10:32:59.579927 : Epoch  5, Batch    138, Loss  0.854672, Average Loss  0.868543, Time  0.175634
2021-09-11 10:33:01.187834 : Epoch  5, Batch    139, Loss  0.867340, Average Loss  0.868586, Time  0.173113
2021-09-11 10:33:01.341849 : Epoch  4, Batch    790, Loss  0.843581, Average Loss  0.869783, Time  0.236905
2021-09-11 10:33:02.790859 : Epoch  5, Batch    140, Loss  0.862508, Average Loss  0.868618, Time  0.179149
2021-09-11 10:33:03.947078 : Epoch  4, Batch    791, Loss  0.872958, Average Loss  0.869930, Time  0.238992
2021-09-11 10:33:04.433977 : Epoch  5, Batch    141, Loss  0.864300, Average Loss  0.868578, Time  0.170581
2021-09-11 10:33:06.035187 : Epoch  5, Batch    142, Loss  0.868996, Average Loss  0.868568, Time  0.173919
2021-09-11 10:33:06.534330 : Epoch  4, Batch    792, Loss  0.867153, Average Loss  0.869839, Time  0.237864
2021-09-11 10:33:07.649811 : Epoch  5, Batch    143, Loss  0.874553, Average Loss  0.868497, Time  0.169764
2021-09-11 10:33:09.124863 : Epoch  4, Batch    793, Loss  0.860578, Average Loss  0.869741, Time  0.237959
2021-09-11 10:33:09.259300 : Epoch  5, Batch    144, Loss  0.857520, Average Loss  0.868552, Time  0.172796
2021-09-11 10:33:10.841034 : Epoch  5, Batch    145, Loss  0.865153, Average Loss  0.868530, Time  0.169787
2021-09-11 10:33:11.714779 : Epoch  4, Batch    794, Loss  0.864676, Average Loss  0.869831, Time  0.238690
2021-09-11 10:33:12.468791 : Epoch  5, Batch    146, Loss  0.846643, Average Loss  0.868379, Time  0.184179
2021-09-11 10:33:14.096034 : Epoch  5, Batch    147, Loss  0.849789, Average Loss  0.868298, Time  0.169915
2021-09-11 10:33:14.293980 : Epoch  4, Batch    795, Loss  0.878529, Average Loss  0.869798, Time  0.237355
2021-09-11 10:33:15.701023 : Epoch  5, Batch    148, Loss  0.877379, Average Loss  0.868258, Time  0.173590
2021-09-11 10:33:16.885986 : Epoch  4, Batch    796, Loss  0.868729, Average Loss  0.869832, Time  0.237581
2021-09-11 10:33:17.293030 : Epoch  5, Batch    149, Loss  0.875807, Average Loss  0.868365, Time  0.169920
2021-09-11 10:33:18.889041 : Epoch  5, Batch    150, Loss  0.866840, Average Loss  0.868269, Time  0.174535
2021-09-11 10:33:19.514071 : Epoch  4, Batch    797, Loss  0.856672, Average Loss  0.869836, Time  0.237453
2021-09-11 10:33:20.493030 : Epoch  5, Batch    151, Loss  0.849637, Average Loss  0.868226, Time  0.170976
2021-09-11 10:33:22.099918 : Epoch  4, Batch    798, Loss  0.856530, Average Loss  0.869890, Time  0.238637
2021-09-11 10:33:23.720037 : Epoch  5, Batch    153, Loss  0.852571, Average Loss  0.868353, Time  0.173543
2021-09-11 10:33:24.718803 : Epoch  4, Batch    799, Loss  0.862247, Average Loss  0.869830, Time  0.239414
2021-09-11 10:33:25.361035 : Epoch  5, Batch    154, Loss  0.859855, Average Loss  0.868318, Time  0.170745
2021-09-11 10:33:26.998033 : Epoch  5, Batch    155, Loss  0.878581, Average Loss  0.868416, Time  0.169872
2021-09-11 10:33:27.306266 : Epoch  4, Batch    800, Loss  0.864633, Average Loss  0.869799, Time  0.237233
2021-09-11 10:33:29.899094 : Epoch  4, Batch    801, Loss  0.873198, Average Loss  0.869869, Time  0.238398
2021-09-11 10:33:32.486594 : Epoch  4, Batch    802, Loss  0.859957, Average Loss  0.869896, Time  0.238543
2021-09-11 10:33:34.106959 : Epoch  5, Batch    156, Loss  0.860307, Average Loss  0.868374, Time  0.181363
2021-09-11 10:33:35.072043 : Epoch  4, Batch    803, Loss  0.859714, Average Loss  0.869820, Time  0.238733
2021-09-11 10:33:37.652371 : Epoch  4, Batch    804, Loss  0.871387, Average Loss  0.869760, Time  0.237025
2021-09-11 10:33:40.236360 : Epoch  4, Batch    805, Loss  0.872996, Average Loss  0.869695, Time  0.237899
2021-09-11 10:33:42.823124 : Epoch  4, Batch    806, Loss  0.855471, Average Loss  0.869650, Time  0.238560
2021-09-11 10:33:45.419862 : Epoch  4, Batch    807, Loss  0.892734, Average Loss  0.869721, Time  0.239650
2021-09-11 10:33:48.005824 : Epoch  4, Batch    808, Loss  0.877194, Average Loss  0.869732, Time  0.237457
2021-09-11 10:33:50.593024 : Epoch  4, Batch    809, Loss  0.863854, Average Loss  0.869641, Time  0.237441
2021-09-11 10:33:53.182223 : Epoch  4, Batch    810, Loss  0.857475, Average Loss  0.869512, Time  0.238029
2021-09-11 10:33:55.801048 : Epoch  4, Batch    811, Loss  0.872667, Average Loss  0.869552, Time  0.237632
2021-09-11 10:33:58.384012 : Epoch  4, Batch    812, Loss  0.877684, Average Loss  0.869562, Time  0.237725
2021-09-11 10:34:00.983010 : Epoch  4, Batch    813, Loss  0.852537, Average Loss  0.869442, Time  0.241431
2021-09-11 10:34:03.593413 : Epoch  4, Batch    814, Loss  0.882472, Average Loss  0.869607, Time  0.237241
2021-09-11 10:34:06.200079 : Epoch  4, Batch    815, Loss  0.861629, Average Loss  0.869546, Time  0.237416
2021-09-11 10:34:08.784388 : Epoch  4, Batch    816, Loss  0.864922, Average Loss  0.869584, Time  0.238099
2021-09-11 10:34:11.366880 : Epoch  4, Batch    817, Loss  0.857870, Average Loss  0.869530, Time  0.237362
2021-09-11 10:34:13.953118 : Epoch  4, Batch    818, Loss  0.867289, Average Loss  0.869604, Time  0.237621
2021-09-11 10:34:16.538156 : Epoch  4, Batch    819, Loss  0.875745, Average Loss  0.869565, Time  0.238132
2021-09-11 10:34:19.128417 : Epoch  4, Batch    820, Loss  0.867463, Average Loss  0.869525, Time  0.239287
2021-09-11 10:34:21.720395 : Epoch  4, Batch    821, Loss  0.884401, Average Loss  0.869633, Time  0.238879
2021-09-11 10:34:24.302139 : Epoch  4, Batch    822, Loss  0.877374, Average Loss  0.869663, Time  0.237180
2021-09-11 10:34:26.884364 : Epoch  4, Batch    823, Loss  0.836888, Average Loss  0.869476, Time  0.238329
2021-09-11 10:34:29.498111 : Epoch  4, Batch    824, Loss  0.858298, Average Loss  0.869340, Time  0.237663
2021-09-11 10:34:32.080242 : Epoch  4, Batch    825, Loss  0.877003, Average Loss  0.869367, Time  0.237790
2021-09-11 10:34:34.673390 : Epoch  4, Batch    826, Loss  0.876795, Average Loss  0.869415, Time  0.238039
2021-09-11 10:34:37.286794 : Epoch  4, Batch    827, Loss  0.857364, Average Loss  0.869340, Time  0.238680
2021-09-11 10:34:39.873952 : Epoch  4, Batch    828, Loss  0.859145, Average Loss  0.869288, Time  0.238021
2021-09-11 10:34:42.458261 : Epoch  4, Batch    829, Loss  0.862060, Average Loss  0.869218, Time  0.237998
2021-09-11 10:34:45.079356 : Epoch  4, Batch    830, Loss  0.858781, Average Loss  0.869184, Time  0.237362
2021-09-11 10:34:47.661153 : Epoch  4, Batch    831, Loss  0.881235, Average Loss  0.869222, Time  0.237424
2021-09-11 10:34:50.251181 : Epoch  4, Batch    832, Loss  0.847685, Average Loss  0.869145, Time  0.237143
2021-09-11 10:38:14.653729 : CheckPoint: Validation Loss  0.00060477, Best Loss  0.00057296
2021-09-11 10:38:16.281846 : Epoch  5, Batch    157, Loss  0.875117, Average Loss  0.868448, Time  0.178349
2021-09-11 10:38:17.881992 : Epoch  5, Batch    158, Loss  0.867159, Average Loss  0.868282, Time  0.173385
2021-09-11 10:38:19.474998 : Epoch  5, Batch    159, Loss  0.835680, Average Loss  0.868259, Time  0.171818
2021-09-11 10:38:21.084794 : Epoch  5, Batch    160, Loss  0.917169, Average Loss  0.868549, Time  0.169922
2021-09-11 10:38:22.705014 : Epoch  5, Batch    161, Loss  0.866189, Average Loss  0.868493, Time  0.173397
2021-09-11 10:38:24.367745 : Epoch  5, Batch    162, Loss  0.852975, Average Loss  0.868316, Time  0.174302
2021-09-11 10:38:25.978023 : Epoch  5, Batch    163, Loss  0.876443, Average Loss  0.868431, Time  0.170182
2021-09-11 10:38:27.627038 : Epoch  5, Batch    164, Loss  0.900628, Average Loss  0.868636, Time  0.176795
2021-09-11 10:38:29.259029 : Epoch  5, Batch    165, Loss  0.880448, Average Loss  0.868742, Time  0.176251
2021-09-11 10:38:30.870037 : Epoch  5, Batch    166, Loss  0.875976, Average Loss  0.868850, Time  0.171905
2021-09-11 10:38:32.466020 : Epoch  5, Batch    167, Loss  0.880657, Average Loss  0.869047, Time  0.181420
2021-09-11 10:38:34.058024 : Epoch  5, Batch    168, Loss  0.854519, Average Loss  0.869183, Time  0.174814
2021-09-11 10:38:35.673878 : Epoch  5, Batch    169, Loss  0.871496, Average Loss  0.869258, Time  0.173068
2021-09-11 10:38:37.268881 : Epoch  5, Batch    170, Loss  0.856124, Average Loss  0.869097, Time  0.171647
2021-09-11 10:38:38.901800 : Epoch  5, Batch    171, Loss  0.887236, Average Loss  0.869216, Time  0.198208
2021-09-11 10:38:40.522838 : Epoch  5, Batch    172, Loss  0.860344, Average Loss  0.869213, Time  0.182312
2021-09-11 10:38:42.150021 : Epoch  5, Batch    173, Loss  0.811609, Average Loss  0.868802, Time  0.176299
2021-09-11 10:38:43.783795 : Epoch  5, Batch    174, Loss  0.869137, Average Loss  0.868817, Time  0.178634
2021-09-11 10:38:45.427031 : Epoch  5, Batch    175, Loss  0.829037, Average Loss  0.868760, Time  0.175287
2021-09-11 10:38:47.061075 : Epoch  5, Batch    176, Loss  0.871256, Average Loss  0.868822, Time  0.184554
2021-09-11 10:38:48.681750 : Epoch  5, Batch    177, Loss  0.862829, Average Loss  0.868896, Time  0.175587
2021-09-11 10:38:50.282035 : Epoch  5, Batch    178, Loss  0.878074, Average Loss  0.868966, Time  0.175494
2021-09-11 10:38:51.918025 : Epoch  5, Batch    179, Loss  0.876924, Average Loss  0.869024, Time  0.171851
2021-09-11 10:38:52.731735 : CheckPoint: Validation Loss  0.00029947, Best Loss  0.00029019
2021-09-11 10:38:53.557040 : Epoch  5, Batch    180, Loss  0.878746, Average Loss  0.869079, Time  0.174963
2021-09-11 10:38:55.201875 : Epoch  5, Batch    181, Loss  0.823412, Average Loss  0.868777, Time  0.171845
2021-09-11 10:38:55.340616 : Epoch  4, Batch    833, Loss  0.873641, Average Loss  0.869132, Time  0.272855
2021-09-11 10:38:56.818026 : Epoch  5, Batch    182, Loss  0.882188, Average Loss  0.868974, Time  0.175281
2021-09-11 10:38:57.939886 : Epoch  4, Batch    834, Loss  0.867988, Average Loss  0.869092, Time  0.248490
2021-09-11 10:38:58.435036 : Epoch  5, Batch    183, Loss  0.868016, Average Loss  0.868880, Time  0.176319
2021-09-11 10:39:00.058024 : Epoch  5, Batch    184, Loss  0.897132, Average Loss  0.868989, Time  0.169981
2021-09-11 10:39:00.569944 : Epoch  4, Batch    835, Loss  0.861927, Average Loss  0.869049, Time  0.238029
2021-09-11 10:39:01.681913 : Epoch  5, Batch    185, Loss  0.870218, Average Loss  0.868918, Time  0.184096
2021-09-11 10:39:03.173940 : Epoch  4, Batch    836, Loss  0.896568, Average Loss  0.869121, Time  0.239931
2021-09-11 10:39:03.298030 : Epoch  5, Batch    186, Loss  0.867619, Average Loss  0.869019, Time  0.171141
2021-09-11 10:39:04.908897 : Epoch  5, Batch    187, Loss  0.878582, Average Loss  0.869148, Time  0.170714
2021-09-11 10:39:05.785345 : Epoch  4, Batch    837, Loss  0.869528, Average Loss  0.869082, Time  0.236995
2021-09-11 10:39:06.516797 : Epoch  5, Batch    188, Loss  0.856675, Average Loss  0.868949, Time  0.175897
2021-09-11 10:39:08.114746 : Epoch  5, Batch    189, Loss  0.845464, Average Loss  0.868814, Time  0.170198
2021-09-11 10:39:08.371358 : Epoch  4, Batch    838, Loss  0.885519, Average Loss  0.869198, Time  0.237933
2021-09-11 10:39:09.719850 : Epoch  5, Batch    190, Loss  0.867035, Average Loss  0.868806, Time  0.169656
2021-09-11 10:39:10.937208 : Epoch  4, Batch    839, Loss  0.863028, Average Loss  0.869187, Time  0.238016
2021-09-11 10:39:11.336761 : Epoch  5, Batch    191, Loss  0.854600, Average Loss  0.868830, Time  0.173191
2021-09-11 10:39:12.940801 : Epoch  5, Batch    192, Loss  0.856997, Average Loss  0.868649, Time  0.170311
2021-09-11 10:39:13.521930 : Epoch  4, Batch    840, Loss  0.848727, Average Loss  0.869142, Time  0.238844
2021-09-11 10:39:14.551752 : Epoch  5, Batch    193, Loss  0.867738, Average Loss  0.868552, Time  0.175326
2021-09-11 10:39:16.097953 : Epoch  4, Batch    841, Loss  0.867098, Average Loss  0.869090, Time  0.239353
2021-09-11 10:39:16.191386 : Epoch  5, Batch    194, Loss  0.886198, Average Loss  0.868655, Time  0.179154
2021-09-11 10:39:17.801806 : Epoch  5, Batch    195, Loss  0.871258, Average Loss  0.868841, Time  0.185759
2021-09-11 10:39:18.669490 : Epoch  4, Batch    842, Loss  0.867324, Average Loss  0.869090, Time  0.239265
2021-09-11 10:39:19.408034 : Epoch  5, Batch    196, Loss  0.849303, Average Loss  0.868716, Time  0.170898
2021-09-11 10:39:21.011028 : Epoch  5, Batch    197, Loss  0.866828, Average Loss  0.868638, Time  0.176172
2021-09-11 10:39:21.241901 : Epoch  4, Batch    843, Loss  0.876213, Average Loss  0.869030, Time  0.237668
2021-09-11 10:39:22.633769 : Epoch  5, Batch    198, Loss  0.860659, Average Loss  0.868505, Time  0.174978
2021-09-11 10:39:23.817359 : Epoch  4, Batch    844, Loss  0.863776, Average Loss  0.869029, Time  0.237571
2021-09-11 10:39:24.261851 : Epoch  5, Batch    199, Loss  0.864314, Average Loss  0.868370, Time  0.179794
2021-09-11 10:39:25.916758 : Epoch  5, Batch    200, Loss  0.844059, Average Loss  0.868289, Time  0.172467
2021-09-11 10:39:26.389849 : Epoch  4, Batch    845, Loss  0.873048, Average Loss  0.868947, Time  0.237735
2021-09-11 10:39:27.550030 : Epoch  5, Batch    201, Loss  0.844673, Average Loss  0.868201, Time  0.171713
2021-09-11 10:39:28.988095 : Epoch  4, Batch    846, Loss  0.887500, Average Loss  0.869090, Time  0.237479
2021-09-11 10:39:29.171747 : Epoch  5, Batch    202, Loss  0.863388, Average Loss  0.868286, Time  0.175647
2021-09-11 10:39:30.760032 : Epoch  5, Batch    203, Loss  0.858365, Average Loss  0.868209, Time  0.177134
2021-09-11 10:39:31.557634 : Epoch  4, Batch    847, Loss  0.872313, Average Loss  0.869102, Time  0.237788
2021-09-11 10:39:32.356011 : Epoch  5, Batch    204, Loss  0.857946, Average Loss  0.868223, Time  0.171984
2021-09-11 10:39:33.969768 : Epoch  5, Batch    205, Loss  0.860152, Average Loss  0.868115, Time  0.175398
2021-09-11 10:39:34.137296 : Epoch  4, Batch    848, Loss  0.855807, Average Loss  0.868952, Time  0.240301
2021-09-11 10:39:35.611034 : Epoch  5, Batch    206, Loss  0.852501, Average Loss  0.868083, Time  0.178918
2021-09-11 10:39:36.713378 : Epoch  4, Batch    849, Loss  0.880907, Average Loss  0.868972, Time  0.237345
2021-09-11 10:39:37.227025 : Epoch  5, Batch    207, Loss  0.870119, Average Loss  0.867978, Time  0.173801
2021-09-11 10:39:38.816770 : Epoch  5, Batch    208, Loss  0.873247, Average Loss  0.867815, Time  0.175401
2021-09-11 10:39:39.291210 : Epoch  4, Batch    850, Loss  0.854098, Average Loss  0.868832, Time  0.237452
2021-09-11 10:39:40.445920 : Epoch  5, Batch    209, Loss  0.858553, Average Loss  0.867776, Time  0.170854
2021-09-11 10:39:41.860191 : Epoch  4, Batch    851, Loss  0.885377, Average Loss  0.868959, Time  0.237637
2021-09-11 10:39:42.067740 : Epoch  5, Batch    210, Loss  0.872268, Average Loss  0.867735, Time  0.177505
2021-09-11 10:39:43.679800 : Epoch  5, Batch    211, Loss  0.860670, Average Loss  0.867667, Time  0.176368
2021-09-11 10:39:44.430811 : Epoch  4, Batch    852, Loss  0.857165, Average Loss  0.868935, Time  0.236973
2021-09-11 10:39:45.307747 : Epoch  5, Batch    212, Loss  0.854874, Average Loss  0.867537, Time  0.172603
2021-09-11 10:39:46.941819 : Epoch  5, Batch    213, Loss  0.869561, Average Loss  0.867412, Time  0.169719
2021-09-11 10:39:46.996081 : Epoch  4, Batch    853, Loss  0.852593, Average Loss  0.868802, Time  0.237875
2021-09-11 10:39:48.597757 : Epoch  5, Batch    214, Loss  0.858978, Average Loss  0.867378, Time  0.173370
2021-09-11 10:39:49.578432 : Epoch  4, Batch    854, Loss  0.856974, Average Loss  0.868742, Time  0.237087
2021-09-11 10:39:50.198788 : Epoch  5, Batch    215, Loss  0.893458, Average Loss  0.867503, Time  0.171377
2021-09-11 10:39:51.813777 : Epoch  5, Batch    216, Loss  0.901251, Average Loss  0.867504, Time  0.174327
2021-09-11 10:39:52.144668 : Epoch  4, Batch    855, Loss  0.871479, Average Loss  0.868798, Time  0.236937
2021-09-11 10:39:53.426837 : Epoch  5, Batch    217, Loss  0.878953, Average Loss  0.867601, Time  0.183210
2021-09-11 10:39:54.707425 : Epoch  4, Batch    856, Loss  0.873710, Average Loss  0.868766, Time  0.237418
2021-09-11 10:39:55.077761 : Epoch  5, Batch    218, Loss  0.841391, Average Loss  0.867543, Time  0.179233
2021-09-11 10:39:56.690811 : Epoch  5, Batch    219, Loss  0.859929, Average Loss  0.867575, Time  0.174759
2021-09-11 10:39:57.276921 : Epoch  4, Batch    857, Loss  0.863613, Average Loss  0.868900, Time  0.238312
2021-09-11 10:39:58.308838 : Epoch  5, Batch    220, Loss  0.890722, Average Loss  0.867654, Time  0.187844
2021-09-11 10:39:59.849921 : Epoch  4, Batch    858, Loss  0.894834, Average Loss  0.869018, Time  0.237523
2021-09-11 10:39:59.938787 : Epoch  5, Batch    221, Loss  0.854218, Average Loss  0.867641, Time  0.181737
2021-09-11 10:40:01.543787 : Epoch  5, Batch    222, Loss  0.864463, Average Loss  0.867518, Time  0.172488
2021-09-11 10:40:02.434861 : Epoch  4, Batch    859, Loss  0.897235, Average Loss  0.869098, Time  0.237603
2021-09-11 10:40:03.143759 : Epoch  5, Batch    223, Loss  0.864458, Average Loss  0.867529, Time  0.181130
2021-09-11 10:40:04.753756 : Epoch  5, Batch    224, Loss  0.850278, Average Loss  0.867393, Time  0.174820
2021-09-11 10:40:05.017013 : Epoch  4, Batch    860, Loss  0.847429, Average Loss  0.868927, Time  0.240028
2021-09-11 10:40:06.359040 : Epoch  5, Batch    225, Loss  0.850743, Average Loss  0.867246, Time  0.174465
2021-09-11 10:40:07.598410 : Epoch  4, Batch    861, Loss  0.876991, Average Loss  0.868911, Time  0.237670
2021-09-11 10:40:07.975749 : Epoch  5, Batch    226, Loss  0.915960, Average Loss  0.867475, Time  0.177972
2021-09-11 10:40:09.570025 : Epoch  5, Batch    227, Loss  0.874967, Average Loss  0.867518, Time  0.172350
2021-09-11 10:40:10.177372 : Epoch  4, Batch    862, Loss  0.861408, Average Loss  0.868925, Time  0.238148
2021-09-11 10:40:11.167737 : Epoch  5, Batch    228, Loss  0.884996, Average Loss  0.867681, Time  0.170033
2021-09-11 10:40:12.747822 : Epoch  4, Batch    863, Loss  0.858067, Average Loss  0.868863, Time  0.237386
2021-09-11 10:40:12.787033 : Epoch  5, Batch    229, Loss  0.892582, Average Loss  0.867887, Time  0.169979
2021-09-11 10:40:14.420821 : Epoch  5, Batch    230, Loss  0.862311, Average Loss  0.867715, Time  0.178384
2021-09-11 10:40:15.348388 : Epoch  4, Batch    864, Loss  0.852453, Average Loss  0.868764, Time  0.237282
2021-09-11 10:40:16.067740 : Epoch  5, Batch    231, Loss  0.847332, Average Loss  0.867592, Time  0.179025
2021-09-11 10:40:17.714241 : Epoch  5, Batch    232, Loss  0.852308, Average Loss  0.867581, Time  0.176160
2021-09-11 10:40:17.919101 : Epoch  4, Batch    865, Loss  0.866892, Average Loss  0.868842, Time  0.238920
2021-09-11 10:40:19.326031 : Epoch  5, Batch    233, Loss  0.862347, Average Loss  0.867540, Time  0.171995
2021-09-11 10:40:20.480405 : Epoch  4, Batch    866, Loss  0.894378, Average Loss  0.868929, Time  0.237501
2021-09-11 10:40:20.929029 : Epoch  5, Batch    234, Loss  0.835324, Average Loss  0.867520, Time  0.170220
2021-09-11 10:40:22.554034 : Epoch  5, Batch    235, Loss  0.843227, Average Loss  0.867377, Time  0.186436
2021-09-11 10:40:23.064264 : Epoch  4, Batch    867, Loss  0.875992, Average Loss  0.868862, Time  0.238627
2021-09-11 10:40:24.174028 : Epoch  5, Batch    236, Loss  0.866856, Average Loss  0.867352, Time  0.169776
2021-09-11 10:40:25.623444 : Epoch  4, Batch    868, Loss  0.880116, Average Loss  0.868927, Time  0.238305
2021-09-11 10:40:25.795029 : Epoch  5, Batch    237, Loss  0.877251, Average Loss  0.867335, Time  0.172103
2021-09-11 10:40:27.387796 : Epoch  5, Batch    238, Loss  0.847091, Average Loss  0.867069, Time  0.171570
2021-09-11 10:40:28.186338 : Epoch  4, Batch    869, Loss  0.897452, Average Loss  0.868998, Time  0.237460
2021-09-11 10:40:28.991908 : Epoch  5, Batch    239, Loss  0.877155, Average Loss  0.867203, Time  0.172132
2021-09-11 10:40:30.613032 : Epoch  5, Batch    240, Loss  0.846002, Average Loss  0.867093, Time  0.170012
2021-09-11 10:40:30.762638 : Epoch  4, Batch    870, Loss  0.873487, Average Loss  0.869072, Time  0.238578
2021-09-11 10:40:32.239036 : Epoch  5, Batch    241, Loss  0.831811, Average Loss  0.866924, Time  0.173721
2021-09-11 10:40:33.334034 : Epoch  4, Batch    871, Loss  0.878667, Average Loss  0.869110, Time  0.239534
2021-09-11 10:40:33.896834 : Epoch  5, Batch    242, Loss  0.842957, Average Loss  0.866897, Time  0.178615
2021-09-11 10:40:35.512770 : Epoch  5, Batch    243, Loss  0.870464, Average Loss  0.866763, Time  0.170176
2021-09-11 10:40:35.912355 : Epoch  4, Batch    872, Loss  0.850610, Average Loss  0.869042, Time  0.237489
2021-09-11 10:40:37.139039 : Epoch  5, Batch    244, Loss  0.840554, Average Loss  0.866594, Time  0.170019
2021-09-11 10:40:38.527883 : Epoch  4, Batch    873, Loss  0.873475, Average Loss  0.868932, Time  0.238384
2021-09-11 10:40:38.744815 : Epoch  5, Batch    245, Loss  0.879601, Average Loss  0.866779, Time  0.169983
2021-09-11 10:40:40.381767 : Epoch  5, Batch    246, Loss  0.838364, Average Loss  0.866455, Time  0.170578
2021-09-11 10:40:41.096838 : Epoch  4, Batch    874, Loss  0.855542, Average Loss  0.868825, Time  0.237908
2021-09-11 10:40:42.020775 : Epoch  5, Batch    247, Loss  0.877935, Average Loss  0.866526, Time  0.177641
2021-09-11 10:40:43.635737 : Epoch  5, Batch    248, Loss  0.868160, Average Loss  0.866437, Time  0.170006
2021-09-11 10:40:43.687920 : Epoch  4, Batch    875, Loss  0.872599, Average Loss  0.868864, Time  0.239261
2021-09-11 10:40:45.224919 : Epoch  5, Batch    249, Loss  0.865871, Average Loss  0.866501, Time  0.169730
2021-09-11 10:40:46.260588 : Epoch  4, Batch    876, Loss  0.860170, Average Loss  0.868741, Time  0.238291
2021-09-11 10:40:46.847821 : Epoch  5, Batch    250, Loss  0.873373, Average Loss  0.866461, Time  0.174909
2021-09-11 10:40:48.470026 : Epoch  5, Batch    251, Loss  0.881166, Average Loss  0.866694, Time  0.177408
2021-09-11 10:40:48.839987 : Epoch  4, Batch    877, Loss  0.863626, Average Loss  0.868773, Time  0.237413
2021-09-11 10:40:50.085030 : Epoch  5, Batch    252, Loss  0.869173, Average Loss  0.866740, Time  0.173674
2021-09-11 10:40:51.394595 : Epoch  4, Batch    878, Loss  0.867108, Average Loss  0.868803, Time  0.237645
2021-09-11 10:40:51.697029 : Epoch  5, Batch    253, Loss  0.851516, Average Loss  0.866720, Time  0.169859
2021-09-11 10:40:53.302898 : Epoch  5, Batch    254, Loss  0.862349, Average Loss  0.866760, Time  0.175532
2021-09-11 10:40:53.960547 : Epoch  4, Batch    879, Loss  0.893740, Average Loss  0.868992, Time  0.237066
2021-09-11 10:40:54.944059 : Epoch  5, Batch    255, Loss  0.877137, Average Loss  0.866692, Time  0.181910
2021-09-11 10:40:56.533996 : Epoch  4, Batch    880, Loss  0.878029, Average Loss  0.868990, Time  0.237002
2021-09-11 10:40:56.565882 : Epoch  5, Batch    256, Loss  0.866817, Average Loss  0.866694, Time  0.176773
2021-09-11 10:40:59.119363 : Epoch  4, Batch    881, Loss  0.863073, Average Loss  0.869048, Time  0.237583
2021-09-11 10:41:01.684332 : Epoch  4, Batch    882, Loss  0.859969, Average Loss  0.869068, Time  0.237257
2021-09-11 10:41:04.246083 : Epoch  4, Batch    883, Loss  0.848467, Average Loss  0.868934, Time  0.236937
2021-09-11 10:41:06.815025 : Epoch  4, Batch    884, Loss  0.877748, Average Loss  0.868968, Time  0.238223
2021-09-11 10:41:09.389093 : Epoch  4, Batch    885, Loss  0.867883, Average Loss  0.868957, Time  0.236871
2021-09-11 10:41:11.968446 : Epoch  4, Batch    886, Loss  0.864772, Average Loss  0.868831, Time  0.238794
2021-09-11 10:41:14.541398 : Epoch  4, Batch    887, Loss  0.884000, Average Loss  0.868938, Time  0.237620
2021-09-11 10:41:17.126930 : Epoch  4, Batch    888, Loss  0.861016, Average Loss  0.868930, Time  0.238025
2021-09-11 10:41:19.703370 : Epoch  4, Batch    889, Loss  0.864439, Average Loss  0.868953, Time  0.237752
2021-09-11 10:41:22.276373 : Epoch  4, Batch    890, Loss  0.870350, Average Loss  0.868997, Time  0.237129
2021-09-11 10:41:24.855687 : Epoch  4, Batch    891, Loss  0.881180, Average Loss  0.869021, Time  0.238520
2021-09-11 10:41:27.430404 : Epoch  4, Batch    892, Loss  0.875285, Average Loss  0.869030, Time  0.239479
2021-09-11 10:41:30.038028 : Epoch  4, Batch    893, Loss  0.859250, Average Loss  0.868917, Time  0.237753
2021-09-11 10:41:32.606028 : Epoch  4, Batch    894, Loss  0.877159, Average Loss  0.869127, Time  0.237123
2021-09-11 10:41:35.180084 : Epoch  4, Batch    895, Loss  0.866831, Average Loss  0.869085, Time  0.238873
2021-09-11 10:41:37.759806 : Epoch  4, Batch    896, Loss  0.868588, Average Loss  0.869107, Time  0.237369
2021-09-11 10:41:40.329409 : Epoch  4, Batch    897, Loss  0.881608, Average Loss  0.869116, Time  0.237186
2021-09-11 10:41:42.906397 : Epoch  4, Batch    898, Loss  0.864527, Average Loss  0.869197, Time  0.238041
2021-09-11 10:41:45.486374 : Epoch  4, Batch    899, Loss  0.864955, Average Loss  0.869157, Time  0.237166
2021-09-11 10:41:48.057853 : Epoch  4, Batch    900, Loss  0.879817, Average Loss  0.869168, Time  0.237615
2021-09-11 10:41:50.630816 : Epoch  4, Batch    901, Loss  0.851853, Average Loss  0.868888, Time  0.237960
2021-09-11 10:41:53.216901 : Epoch  4, Batch    902, Loss  0.857993, Average Loss  0.868839, Time  0.237920
2021-09-11 10:41:55.792948 : Epoch  4, Batch    903, Loss  0.863749, Average Loss  0.868751, Time  0.238259
2021-09-11 10:41:58.364120 : Epoch  4, Batch    904, Loss  0.854120, Average Loss  0.868651, Time  0.238344
2021-09-11 10:42:00.936445 : Epoch  4, Batch    905, Loss  0.851879, Average Loss  0.868609, Time  0.237444
2021-09-11 10:42:03.505640 : Epoch  4, Batch    906, Loss  0.861649, Average Loss  0.868576, Time  0.237250
2021-09-11 10:42:06.075791 : Epoch  4, Batch    907, Loss  0.865366, Average Loss  0.868543, Time  0.237771
2021-09-11 10:42:08.653383 : Epoch  4, Batch    908, Loss  0.885435, Average Loss  0.868618, Time  0.238325
2021-09-11 10:42:11.230389 : Epoch  4, Batch    909, Loss  0.839344, Average Loss  0.868502, Time  0.238040
2021-09-11 10:42:13.806386 : Epoch  4, Batch    910, Loss  0.847452, Average Loss  0.868418, Time  0.237763
2021-09-11 10:42:16.375098 : Epoch  4, Batch    911, Loss  0.849325, Average Loss  0.868352, Time  0.237518
2021-09-11 10:42:18.946074 : Epoch  4, Batch    912, Loss  0.874321, Average Loss  0.868263, Time  0.238140
2021-09-11 10:42:21.533832 : Epoch  4, Batch    913, Loss  0.851372, Average Loss  0.868072, Time  0.238389
2021-09-11 10:42:24.112964 : Epoch  4, Batch    914, Loss  0.869157, Average Loss  0.868000, Time  0.238219
2021-09-11 10:42:26.685890 : Epoch  4, Batch    915, Loss  0.877069, Average Loss  0.867975, Time  0.237770
2021-09-11 10:42:29.262216 : Epoch  4, Batch    916, Loss  0.871594, Average Loss  0.867991, Time  0.237674
2021-09-11 10:42:31.836828 : Epoch  4, Batch    917, Loss  0.848728, Average Loss  0.867949, Time  0.237597
2021-09-11 10:42:34.416803 : Epoch  4, Batch    918, Loss  0.861396, Average Loss  0.867823, Time  0.237936
2021-09-11 10:42:37.014032 : Epoch  4, Batch    919, Loss  0.870483, Average Loss  0.867836, Time  0.237312
2021-09-11 10:42:39.592251 : Epoch  4, Batch    920, Loss  0.875600, Average Loss  0.867913, Time  0.237319
2021-09-11 10:42:42.162948 : Epoch  4, Batch    921, Loss  0.866711, Average Loss  0.867942, Time  0.238414
2021-09-11 10:42:44.738387 : Epoch  4, Batch    922, Loss  0.863079, Average Loss  0.867962, Time  0.237318
2021-09-11 10:42:47.310580 : Epoch  4, Batch    923, Loss  0.867205, Average Loss  0.867994, Time  0.237973
2021-09-11 10:42:49.935373 : Epoch  4, Batch    924, Loss  0.885697, Average Loss  0.867994, Time  0.238231
2021-09-11 10:42:52.520366 : Epoch  4, Batch    925, Loss  0.857185, Average Loss  0.867976, Time  0.237146
2021-09-11 10:42:55.103132 : Epoch  4, Batch    926, Loss  0.861348, Average Loss  0.867909, Time  0.238758
2021-09-11 10:42:57.676641 : Epoch  4, Batch    927, Loss  0.882143, Average Loss  0.868024, Time  0.237081
2021-09-11 10:43:00.257420 : Epoch  4, Batch    928, Loss  0.878708, Average Loss  0.867998, Time  0.238955
2021-09-11 10:43:02.831623 : Epoch  4, Batch    929, Loss  0.876397, Average Loss  0.867967, Time  0.237552
2021-09-11 10:43:05.409095 : Epoch  4, Batch    930, Loss  0.861120, Average Loss  0.867998, Time  0.240663
2021-09-11 10:43:07.977791 : Epoch  4, Batch    931, Loss  0.870093, Average Loss  0.867958, Time  0.237604
2021-09-11 10:43:10.553267 : Epoch  4, Batch    932, Loss  0.867686, Average Loss  0.867904, Time  0.237766
2021-09-11 10:45:38.185729 : CheckPoint: Validation Loss  0.00061197, Best Loss  0.00057296
2021-09-11 10:45:39.795845 : Epoch  5, Batch    257, Loss  0.825316, Average Loss  0.866455, Time  0.178663
2021-09-11 10:45:41.395767 : Epoch  5, Batch    258, Loss  0.887286, Average Loss  0.866552, Time  0.175947
2021-09-11 10:45:42.979751 : Epoch  5, Batch    259, Loss  0.881345, Average Loss  0.866540, Time  0.170409
2021-09-11 10:45:44.568617 : Epoch  5, Batch    260, Loss  0.842964, Average Loss  0.866421, Time  0.172126
2021-09-11 10:45:46.193003 : Epoch  5, Batch    261, Loss  0.919857, Average Loss  0.866642, Time  0.170861
2021-09-11 10:45:47.785947 : Epoch  5, Batch    262, Loss  0.869676, Average Loss  0.866719, Time  0.170759
2021-09-11 10:45:49.383777 : Epoch  5, Batch    263, Loss  0.863003, Average Loss  0.866698, Time  0.170581
2021-09-11 10:45:51.004831 : Epoch  5, Batch    264, Loss  0.878894, Average Loss  0.866822, Time  0.170292
2021-09-11 10:45:52.602794 : Epoch  5, Batch    265, Loss  0.882358, Average Loss  0.866753, Time  0.173037
2021-09-11 10:45:54.212899 : Epoch  5, Batch    266, Loss  0.859691, Average Loss  0.866840, Time  0.177888
2021-09-11 10:45:55.813845 : Epoch  5, Batch    267, Loss  0.851246, Average Loss  0.866759, Time  0.179014
2021-09-11 10:45:57.410779 : Epoch  5, Batch    268, Loss  0.891397, Average Loss  0.866873, Time  0.178641
2021-09-11 10:45:59.003797 : Epoch  5, Batch    269, Loss  0.878654, Average Loss  0.866887, Time  0.172122
2021-09-11 10:46:00.595252 : Epoch  5, Batch    270, Loss  0.844572, Average Loss  0.866761, Time  0.172417
2021-09-11 10:46:02.219794 : Epoch  5, Batch    271, Loss  0.856049, Average Loss  0.866707, Time  0.178071
2021-09-11 10:46:03.839822 : Epoch  5, Batch    272, Loss  0.827012, Average Loss  0.866423, Time  0.174815
2021-09-11 10:46:05.438795 : Epoch  5, Batch    273, Loss  0.886531, Average Loss  0.866538, Time  0.170071
2021-09-11 10:46:07.084043 : Epoch  5, Batch    274, Loss  0.835329, Average Loss  0.866354, Time  0.176246
2021-09-11 10:46:08.713807 : Epoch  5, Batch    275, Loss  0.863220, Average Loss  0.866304, Time  0.177385
2021-09-11 10:46:10.326032 : Epoch  5, Batch    276, Loss  0.836829, Average Loss  0.866187, Time  0.173126
2021-09-11 10:46:11.948814 : Epoch  5, Batch    277, Loss  0.870322, Average Loss  0.866172, Time  0.170309
2021-09-11 10:46:13.560876 : Epoch  5, Batch    278, Loss  0.868970, Average Loss  0.866162, Time  0.174306
2021-09-11 10:46:15.163951 : Epoch  5, Batch    279, Loss  0.864715, Average Loss  0.866060, Time  0.170348
2021-09-11 10:46:16.779859 : Epoch  5, Batch    280, Loss  0.858820, Average Loss  0.865955, Time  0.171090
2021-09-11 10:46:18.398750 : Epoch  5, Batch    281, Loss  0.887995, Average Loss  0.866105, Time  0.182746
2021-09-11 10:46:20.017079 : Epoch  5, Batch    282, Loss  0.865956, Average Loss  0.866039, Time  0.183528
2021-09-11 10:46:21.624757 : Epoch  5, Batch    283, Loss  0.856299, Average Loss  0.866042, Time  0.171701
2021-09-11 10:46:23.249760 : Epoch  5, Batch    284, Loss  0.860287, Average Loss  0.866096, Time  0.174287
2021-09-11 10:46:24.854756 : Epoch  5, Batch    285, Loss  0.869431, Average Loss  0.866039, Time  0.172081
2021-09-11 10:46:26.480736 : Epoch  5, Batch    286, Loss  0.873659, Average Loss  0.866003, Time  0.181539
2021-09-11 10:46:28.089835 : Epoch  5, Batch    287, Loss  0.889109, Average Loss  0.866081, Time  0.174059
2021-09-11 10:46:29.663742 : Epoch  5, Batch    288, Loss  0.902840, Average Loss  0.866263, Time  0.169890
2021-09-11 10:46:31.261824 : Epoch  5, Batch    289, Loss  0.869421, Average Loss  0.866300, Time  0.170879
2021-09-11 10:46:32.897753 : Epoch  5, Batch    290, Loss  0.867701, Average Loss  0.866331, Time  0.177374
2021-09-11 10:46:34.510778 : Epoch  5, Batch    291, Loss  0.867742, Average Loss  0.866259, Time  0.170142
2021-09-11 10:46:36.111970 : Epoch  5, Batch    292, Loss  0.879900, Average Loss  0.866337, Time  0.173072
2021-09-11 10:46:37.722769 : Epoch  5, Batch    293, Loss  0.857001, Average Loss  0.866144, Time  0.170598
2021-09-11 10:46:39.350325 : Epoch  5, Batch    294, Loss  0.841178, Average Loss  0.866103, Time  0.170482
2021-09-11 10:46:41.015810 : Epoch  5, Batch    295, Loss  0.859856, Average Loss  0.865953, Time  0.179321
2021-09-11 10:46:42.626966 : Epoch  5, Batch    296, Loss  0.890097, Average Loss  0.866174, Time  0.178641
2021-09-11 10:46:44.211262 : Epoch  5, Batch    297, Loss  0.867464, Average Loss  0.866218, Time  0.174739
2021-09-11 10:46:45.812814 : Epoch  5, Batch    298, Loss  0.872353, Average Loss  0.866195, Time  0.175210
2021-09-11 10:46:47.417938 : Epoch  5, Batch    299, Loss  0.862222, Average Loss  0.866107, Time  0.171139
2021-09-11 10:46:49.054787 : Epoch  5, Batch    300, Loss  0.891955, Average Loss  0.866198, Time  0.170309
2021-09-11 10:46:50.677018 : Epoch  5, Batch    301, Loss  0.867995, Average Loss  0.866208, Time  0.172043
2021-09-11 10:46:52.326046 : Epoch  5, Batch    302, Loss  0.900666, Average Loss  0.866359, Time  0.176469
2021-09-11 10:46:53.926699 : Epoch  5, Batch    303, Loss  0.874506, Average Loss  0.866279, Time  0.171045
2021-09-11 10:46:55.516793 : Epoch  5, Batch    304, Loss  0.853931, Average Loss  0.866284, Time  0.174620
2021-09-11 10:46:57.132013 : Epoch  5, Batch    305, Loss  0.848286, Average Loss  0.866229, Time  0.181799
2021-09-11 10:46:58.758852 : Epoch  5, Batch    306, Loss  0.871557, Average Loss  0.866224, Time  0.185025
2021-09-11 10:47:00.406626 : Epoch  5, Batch    307, Loss  0.860994, Average Loss  0.866143, Time  0.187120
2021-09-11 10:47:02.034156 : Epoch  5, Batch    308, Loss  0.838616, Average Loss  0.866012, Time  0.170327
2021-09-11 10:47:03.651756 : Epoch  5, Batch    309, Loss  0.884222, Average Loss  0.866198, Time  0.181869
2021-09-11 10:47:05.225867 : Epoch  5, Batch    310, Loss  0.864621, Average Loss  0.866109, Time  0.170687
2021-09-11 10:47:06.832098 : Epoch  5, Batch    311, Loss  0.839932, Average Loss  0.866026, Time  0.173663
2021-09-11 10:47:08.413947 : Epoch  5, Batch    312, Loss  0.905046, Average Loss  0.866049, Time  0.173987
2021-09-11 10:47:10.076195 : Epoch  5, Batch    313, Loss  0.883899, Average Loss  0.866098, Time  0.178158
2021-09-11 10:47:11.689185 : Epoch  5, Batch    314, Loss  0.839576, Average Loss  0.866088, Time  0.174231
2021-09-11 10:47:13.402792 : Epoch  5, Batch    315, Loss  0.852017, Average Loss  0.865922, Time  0.178286
2021-09-11 10:47:13.703039 : CheckPoint: Validation Loss  0.00030802, Best Loss  0.00029019
2021-09-11 10:47:14.987653 : Epoch  5, Batch    316, Loss  0.885879, Average Loss  0.866053, Time  0.172612
2021-09-11 10:47:16.293134 : Epoch  4, Batch    933, Loss  0.870250, Average Loss  0.867915, Time  0.238367
2021-09-11 10:47:16.629747 : Epoch  5, Batch    317, Loss  0.869230, Average Loss  0.865897, Time  0.179820
2021-09-11 10:47:18.243605 : Epoch  5, Batch    318, Loss  0.861122, Average Loss  0.865856, Time  0.182068
2021-09-11 10:47:18.881181 : Epoch  4, Batch    934, Loss  0.855115, Average Loss  0.867848, Time  0.238313
2021-09-11 10:47:19.842814 : Epoch  5, Batch    319, Loss  0.867849, Average Loss  0.865878, Time  0.171013
2021-09-11 10:47:21.464245 : Epoch  4, Batch    935, Loss  0.869418, Average Loss  0.867917, Time  0.237430
2021-09-11 10:47:21.570110 : Epoch  5, Batch    320, Loss  0.839655, Average Loss  0.865637, Time  0.172890
2021-09-11 10:47:23.189211 : Epoch  5, Batch    321, Loss  0.884661, Average Loss  0.865859, Time  0.178548
2021-09-11 10:47:24.049078 : Epoch  4, Batch    936, Loss  0.881372, Average Loss  0.867952, Time  0.237426
2021-09-11 10:47:24.854061 : Epoch  5, Batch    322, Loss  0.854266, Average Loss  0.865773, Time  0.207555
2021-09-11 10:47:26.459796 : Epoch  5, Batch    323, Loss  0.877932, Average Loss  0.865813, Time  0.178526
2021-09-11 10:47:26.646851 : Epoch  4, Batch    937, Loss  0.879812, Average Loss  0.868039, Time  0.240076
2021-09-11 10:47:28.093548 : Epoch  5, Batch    324, Loss  0.856346, Average Loss  0.865832, Time  0.183003
2021-09-11 10:47:29.215752 : Epoch  4, Batch    938, Loss  0.850874, Average Loss  0.867930, Time  0.237527
2021-09-11 10:47:29.702907 : Epoch  5, Batch    325, Loss  0.837248, Average Loss  0.865677, Time  0.172797
2021-09-11 10:47:31.320765 : Epoch  5, Batch    326, Loss  0.834451, Average Loss  0.865565, Time  0.176550
2021-09-11 10:47:31.831096 : Epoch  4, Batch    939, Loss  0.865844, Average Loss  0.867943, Time  0.241849
2021-09-11 10:47:32.977189 : Epoch  5, Batch    327, Loss  0.894671, Average Loss  0.865606, Time  0.173229
2021-09-11 10:47:34.440920 : Epoch  4, Batch    940, Loss  0.859461, Average Loss  0.867845, Time  0.238637
2021-09-11 10:47:34.623924 : Epoch  5, Batch    328, Loss  0.862663, Average Loss  0.865663, Time  0.176702
2021-09-11 10:47:36.254174 : Epoch  5, Batch    329, Loss  0.872558, Average Loss  0.865670, Time  0.173028
2021-09-11 10:47:37.024877 : Epoch  4, Batch    941, Loss  0.894976, Average Loss  0.867850, Time  0.239128
2021-09-11 10:47:37.896123 : Epoch  5, Batch    330, Loss  0.854869, Average Loss  0.865484, Time  0.174179
2021-09-11 10:47:39.492953 : Epoch  5, Batch    331, Loss  0.850174, Average Loss  0.865366, Time  0.170589
2021-09-11 10:47:39.610814 : Epoch  4, Batch    942, Loss  0.870780, Average Loss  0.867885, Time  0.237595
2021-09-11 10:47:41.122239 : Epoch  5, Batch    332, Loss  0.852517, Average Loss  0.865325, Time  0.179598
2021-09-11 10:47:42.196381 : Epoch  4, Batch    943, Loss  0.879104, Average Loss  0.868011, Time  0.238941
2021-09-11 10:47:42.749423 : Epoch  5, Batch    333, Loss  0.884399, Average Loss  0.865401, Time  0.170795
2021-09-11 10:47:44.371241 : Epoch  5, Batch    334, Loss  0.851897, Average Loss  0.865258, Time  0.181293
2021-09-11 10:47:44.775103 : Epoch  4, Batch    944, Loss  0.861231, Average Loss  0.867943, Time  0.237508
2021-09-11 10:47:46.000365 : Epoch  5, Batch    335, Loss  0.865848, Average Loss  0.865337, Time  0.170901
2021-09-11 10:47:47.362352 : Epoch  4, Batch    945, Loss  0.861102, Average Loss  0.867817, Time  0.240063
2021-09-11 10:47:47.615692 : Epoch  5, Batch    336, Loss  0.880839, Average Loss  0.865515, Time  0.170717
2021-09-11 10:47:49.242970 : Epoch  5, Batch    337, Loss  0.873917, Average Loss  0.865530, Time  0.176610
2021-09-11 10:47:49.940192 : Epoch  4, Batch    946, Loss  0.848079, Average Loss  0.867714, Time  0.237455
2021-09-11 10:47:50.839905 : Epoch  5, Batch    338, Loss  0.869499, Average Loss  0.865604, Time  0.186275
2021-09-11 10:47:52.496985 : Epoch  5, Batch    339, Loss  0.835265, Average Loss  0.865444, Time  0.194915
2021-09-11 10:47:52.519995 : Epoch  4, Batch    947, Loss  0.884622, Average Loss  0.867803, Time  0.238236
2021-09-11 10:47:54.133404 : Epoch  5, Batch    340, Loss  0.847659, Average Loss  0.865369, Time  0.177484
2021-09-11 10:47:55.115368 : Epoch  4, Batch    948, Loss  0.881004, Average Loss  0.867867, Time  0.236899
2021-09-11 10:47:55.738069 : Epoch  5, Batch    341, Loss  0.879254, Average Loss  0.865444, Time  0.175788
2021-09-11 10:47:57.355813 : Epoch  5, Batch    342, Loss  0.904300, Average Loss  0.865621, Time  0.172470
2021-09-11 10:47:57.727517 : Epoch  4, Batch    949, Loss  0.871563, Average Loss  0.868060, Time  0.237333
2021-09-11 10:47:58.954915 : Epoch  5, Batch    343, Loss  0.852559, Average Loss  0.865511, Time  0.173208
2021-09-11 10:48:00.310955 : Epoch  4, Batch    950, Loss  0.888368, Average Loss  0.868180, Time  0.237006
2021-09-11 10:48:00.561749 : Epoch  5, Batch    344, Loss  0.878220, Average Loss  0.865614, Time  0.174577
2021-09-11 10:48:02.803768 : Epoch  5, Batch    345, Loss  0.883642, Average Loss  0.865707, Time  0.174414
2021-09-11 10:48:02.955087 : Epoch  4, Batch    951, Loss  0.872376, Average Loss  0.868222, Time  0.254654
2021-09-11 10:48:04.415764 : Epoch  5, Batch    346, Loss  0.875646, Average Loss  0.865852, Time  0.176531
2021-09-11 10:48:05.522213 : Epoch  4, Batch    952, Loss  0.874664, Average Loss  0.868189, Time  0.237822
2021-09-11 10:48:06.030853 : Epoch  5, Batch    347, Loss  0.879041, Average Loss  0.865998, Time  0.172609
2021-09-11 10:48:07.700739 : Epoch  5, Batch    348, Loss  0.878819, Average Loss  0.866005, Time  0.170928
2021-09-11 10:48:08.102032 : Epoch  4, Batch    953, Loss  0.873837, Average Loss  0.868179, Time  0.237047
2021-09-11 10:48:09.304828 : Epoch  5, Batch    349, Loss  0.874368, Average Loss  0.865998, Time  0.170171
2021-09-11 10:48:10.672375 : Epoch  4, Batch    954, Loss  0.892750, Average Loss  0.868215, Time  0.237058
2021-09-11 10:48:10.924793 : Epoch  5, Batch    350, Loss  0.886435, Average Loss  0.866096, Time  0.177815
2021-09-11 10:48:12.539063 : Epoch  5, Batch    351, Loss  0.884870, Average Loss  0.866272, Time  0.173432
2021-09-11 10:48:13.249952 : Epoch  4, Batch    955, Loss  0.865130, Average Loss  0.868196, Time  0.239581
2021-09-11 10:48:14.150031 : Epoch  5, Batch    352, Loss  0.856974, Average Loss  0.866077, Time  0.184045
2021-09-11 10:48:15.743757 : Epoch  5, Batch    353, Loss  0.875330, Average Loss  0.866191, Time  0.170176
2021-09-11 10:48:15.831989 : Epoch  4, Batch    956, Loss  0.881274, Average Loss  0.868221, Time  0.237705
2021-09-11 10:48:17.345756 : Epoch  5, Batch    354, Loss  0.850646, Average Loss  0.866145, Time  0.173684
2021-09-11 10:48:18.404855 : Epoch  4, Batch    957, Loss  0.906001, Average Loss  0.868379, Time  0.237344
2021-09-11 10:48:18.958032 : Epoch  5, Batch    355, Loss  0.862391, Average Loss  0.866064, Time  0.170074
2021-09-11 10:48:20.552875 : Epoch  5, Batch    356, Loss  0.895103, Average Loss  0.866238, Time  0.171854
2021-09-11 10:48:20.983317 : Epoch  4, Batch    958, Loss  0.870818, Average Loss  0.868328, Time  0.237991
2021-09-11 10:48:23.561239 : Epoch  4, Batch    959, Loss  0.884183, Average Loss  0.868549, Time  0.237127
2021-09-11 10:48:26.148122 : Epoch  4, Batch    960, Loss  0.877390, Average Loss  0.868430, Time  0.238657
2021-09-11 10:48:28.723339 : Epoch  4, Batch    961, Loss  0.872657, Average Loss  0.868386, Time  0.237553
2021-09-11 10:48:31.301982 : Epoch  4, Batch    962, Loss  0.851493, Average Loss  0.868272, Time  0.238051
2021-09-11 10:48:33.881832 : Epoch  4, Batch    963, Loss  0.859052, Average Loss  0.868373, Time  0.238047
2021-09-11 10:48:36.475829 : Epoch  4, Batch    964, Loss  0.862340, Average Loss  0.868338, Time  0.239432
2021-09-11 10:48:39.052364 : Epoch  4, Batch    965, Loss  0.865041, Average Loss  0.868261, Time  0.237302
2021-09-11 10:48:41.633376 : Epoch  4, Batch    966, Loss  0.880585, Average Loss  0.868377, Time  0.239579
2021-09-11 10:48:44.215553 : Epoch  4, Batch    967, Loss  0.865665, Average Loss  0.868299, Time  0.238643
2021-09-11 10:48:46.797827 : Epoch  4, Batch    968, Loss  0.865955, Average Loss  0.868173, Time  0.237761
2021-09-11 10:48:49.382125 : Epoch  4, Batch    969, Loss  0.851406, Average Loss  0.868085, Time  0.238705
2021-09-11 10:48:51.968923 : Epoch  4, Batch    970, Loss  0.869429, Average Loss  0.868063, Time  0.237387
2021-09-11 10:48:54.543045 : Epoch  4, Batch    971, Loss  0.863280, Average Loss  0.868194, Time  0.237424
2021-09-11 10:48:57.124147 : Epoch  4, Batch    972, Loss  0.861564, Average Loss  0.868168, Time  0.237479
2021-09-11 10:48:59.733878 : Epoch  4, Batch    973, Loss  0.863090, Average Loss  0.868177, Time  0.240782
2021-09-11 10:49:02.313908 : Epoch  4, Batch    974, Loss  0.859377, Average Loss  0.868166, Time  0.240209
2021-09-11 10:49:04.901962 : Epoch  4, Batch    975, Loss  0.873416, Average Loss  0.868097, Time  0.237269
2021-09-11 10:49:07.473988 : Epoch  4, Batch    976, Loss  0.886390, Average Loss  0.868163, Time  0.237290
2021-09-11 10:49:10.056375 : Epoch  4, Batch    977, Loss  0.885922, Average Loss  0.868271, Time  0.237335
2021-09-11 10:49:12.626993 : Epoch  4, Batch    978, Loss  0.868319, Average Loss  0.868176, Time  0.238154
2021-09-11 10:49:15.210943 : Epoch  4, Batch    979, Loss  0.872306, Average Loss  0.868141, Time  0.238134
2021-09-11 10:49:17.822045 : Epoch  4, Batch    980, Loss  0.857748, Average Loss  0.868160, Time  0.238219
2021-09-11 10:49:20.399828 : Epoch  4, Batch    981, Loss  0.852708, Average Loss  0.868181, Time  0.237495
2021-09-11 10:49:23.022153 : Epoch  4, Batch    982, Loss  0.875473, Average Loss  0.868211, Time  0.237575
2021-09-11 10:49:25.600192 : Epoch  4, Batch    983, Loss  0.856596, Average Loss  0.868213, Time  0.237275
2021-09-11 10:49:28.204399 : Epoch  4, Batch    984, Loss  0.867649, Average Loss  0.868187, Time  0.240627
2021-09-11 10:49:30.785158 : Epoch  4, Batch    985, Loss  0.879109, Average Loss  0.868269, Time  0.239614
2021-09-11 10:49:33.370141 : Epoch  4, Batch    986, Loss  0.881838, Average Loss  0.868306, Time  0.239321
2021-09-11 10:49:35.955126 : Epoch  4, Batch    987, Loss  0.896437, Average Loss  0.868485, Time  0.238001
2021-09-11 10:49:38.574319 : Epoch  4, Batch    988, Loss  0.878758, Average Loss  0.868713, Time  0.237641
2021-09-11 10:49:41.152763 : Epoch  4, Batch    989, Loss  0.879738, Average Loss  0.868774, Time  0.237868
2021-09-11 10:49:43.733388 : Epoch  4, Batch    990, Loss  0.867238, Average Loss  0.868892, Time  0.237300
2021-09-11 10:49:46.312017 : Epoch  4, Batch    991, Loss  0.877539, Average Loss  0.868915, Time  0.238600
2021-09-11 10:49:48.896228 : Epoch  4, Batch    992, Loss  0.864888, Average Loss  0.868903, Time  0.237787
2021-09-11 10:49:51.529258 : Epoch  4, Batch    993, Loss  0.895096, Average Loss  0.869076, Time  0.251219
2021-09-11 10:49:54.121835 : Epoch  4, Batch    994, Loss  0.869287, Average Loss  0.869099, Time  0.238999
2021-09-11 10:49:56.712207 : Epoch  4, Batch    995, Loss  0.871390, Average Loss  0.869063, Time  0.238290
2021-09-11 10:49:59.293856 : Epoch  4, Batch    996, Loss  0.869820, Average Loss  0.869069, Time  0.239994
2021-09-11 10:50:01.875479 : Epoch  4, Batch    997, Loss  0.861632, Average Loss  0.869094, Time  0.238683
2021-09-11 10:50:04.450849 : Epoch  4, Batch    998, Loss  0.873432, Average Loss  0.869178, Time  0.237207
2021-09-11 10:50:07.026948 : Epoch  4, Batch    999, Loss  0.874053, Average Loss  0.869237, Time  0.237164
2021-09-11 10:50:09.606903 : Epoch  4, Batch   1000, Loss  0.869104, Average Loss  0.869260, Time  0.237162
2021-09-11 10:50:12.190374 : Epoch  4, Batch   1001, Loss  0.856639, Average Loss  0.869177, Time  0.238513
2021-09-11 10:50:14.768852 : Epoch  4, Batch   1002, Loss  0.865789, Average Loss  0.869206, Time  0.237374
2021-09-11 10:50:17.346970 : Epoch  4, Batch   1003, Loss  0.859998, Average Loss  0.869207, Time  0.237095
2021-09-11 10:50:19.923397 : Epoch  4, Batch   1004, Loss  0.874117, Average Loss  0.869221, Time  0.237145
2021-09-11 10:50:22.550389 : Epoch  4, Batch   1005, Loss  0.883558, Average Loss  0.869274, Time  0.237526
2021-09-11 10:50:25.147852 : Epoch  4, Batch   1006, Loss  0.880780, Average Loss  0.869400, Time  0.237601
2021-09-11 10:50:27.731214 : Epoch  4, Batch   1007, Loss  0.849291, Average Loss  0.869183, Time  0.238490
2021-09-11 10:50:30.341153 : Epoch  4, Batch   1008, Loss  0.867782, Average Loss  0.869136, Time  0.239384
2021-09-11 10:50:32.923037 : Epoch  4, Batch   1009, Loss  0.872538, Average Loss  0.869179, Time  0.240021
2021-09-11 10:50:35.519310 : Epoch  4, Batch   1010, Loss  0.861841, Average Loss  0.869201, Time  0.238237
2021-09-11 10:50:38.113419 : Epoch  4, Batch   1011, Loss  0.864480, Average Loss  0.869160, Time  0.238179
2021-09-11 10:50:40.696081 : Epoch  4, Batch   1012, Loss  0.861423, Average Loss  0.869079, Time  0.237864
2021-09-11 10:50:43.269142 : Epoch  4, Batch   1013, Loss  0.889729, Average Loss  0.869265, Time  0.237364
2021-09-11 10:50:45.851160 : Epoch  4, Batch   1014, Loss  0.879410, Average Loss  0.869250, Time  0.238103
2021-09-11 10:50:48.432965 : Epoch  4, Batch   1015, Loss  0.861313, Average Loss  0.869248, Time  0.237546
2021-09-11 10:50:51.044826 : Epoch  4, Batch   1016, Loss  0.846314, Average Loss  0.869155, Time  0.238682
2021-09-11 10:50:53.630266 : Epoch  4, Batch   1017, Loss  0.853792, Average Loss  0.869135, Time  0.237398
2021-09-11 10:50:56.213186 : Epoch  4, Batch   1018, Loss  0.858831, Average Loss  0.869092, Time  0.237302
2021-09-11 10:50:58.814945 : Epoch  4, Batch   1019, Loss  0.889808, Average Loss  0.869163, Time  0.237843
2021-09-11 10:51:01.410650 : Epoch  4, Batch   1020, Loss  0.862577, Average Loss  0.869138, Time  0.237198
2021-09-11 10:51:04.002074 : Epoch  4, Batch   1021, Loss  0.876249, Average Loss  0.869098, Time  0.238308
2021-09-11 10:51:06.580315 : Epoch  4, Batch   1022, Loss  0.898881, Average Loss  0.869205, Time  0.237458
2021-09-11 10:51:09.193799 : Epoch  4, Batch   1023, Loss  0.860386, Average Loss  0.869323, Time  0.245407
2021-09-11 10:51:11.785698 : Epoch  4, Batch   1024, Loss  0.896121, Average Loss  0.869512, Time  0.238775
2021-09-11 10:51:14.371472 : Epoch  4, Batch   1025, Loss  0.884043, Average Loss  0.869547, Time  0.239382
2021-09-11 10:51:16.966654 : Epoch  4, Batch   1026, Loss  0.865931, Average Loss  0.869493, Time  0.237292
2021-09-11 10:51:19.550285 : Epoch  4, Batch   1027, Loss  0.847081, Average Loss  0.869441, Time  0.237995
2021-09-11 10:51:22.158822 : Epoch  4, Batch   1028, Loss  0.879724, Average Loss  0.869544, Time  0.240357
2021-09-11 10:51:24.739976 : Epoch  4, Batch   1029, Loss  0.858371, Average Loss  0.869526, Time  0.237228
2021-09-11 10:51:27.325925 : Epoch  4, Batch   1030, Loss  0.858400, Average Loss  0.869524, Time  0.237288
2021-09-11 10:51:29.913049 : Epoch  4, Batch   1031, Loss  0.880042, Average Loss  0.869518, Time  0.237328
2021-09-11 10:51:32.497697 : Epoch  4, Batch   1032, Loss  0.899601, Average Loss  0.869777, Time  0.238768
2021-09-11 10:53:01.210730 : CheckPoint: Validation Loss  0.00059819, Best Loss  0.00057296
2021-09-11 10:53:02.818090 : Epoch  5, Batch    357, Loss  0.872760, Average Loss  0.866226, Time  0.178648
2021-09-11 10:53:04.421751 : Epoch  5, Batch    358, Loss  0.865711, Average Loss  0.866219, Time  0.171156
2021-09-11 10:53:06.055826 : Epoch  5, Batch    359, Loss  0.891959, Average Loss  0.866500, Time  0.173606
2021-09-11 10:53:07.677015 : Epoch  5, Batch    360, Loss  0.843366, Average Loss  0.866131, Time  0.175480
2021-09-11 10:53:09.294741 : Epoch  5, Batch    361, Loss  0.890262, Average Loss  0.866252, Time  0.171544
2021-09-11 10:53:10.919176 : Epoch  5, Batch    362, Loss  0.888534, Average Loss  0.866429, Time  0.170530
2021-09-11 10:53:12.538042 : Epoch  5, Batch    363, Loss  0.873913, Average Loss  0.866417, Time  0.170515
2021-09-11 10:53:14.131121 : Epoch  5, Batch    364, Loss  0.873532, Average Loss  0.866281, Time  0.170409
2021-09-11 10:53:15.733033 : Epoch  5, Batch    365, Loss  0.845148, Average Loss  0.866105, Time  0.173422
2021-09-11 10:53:17.365037 : Epoch  5, Batch    366, Loss  0.880514, Average Loss  0.866128, Time  0.170361
2021-09-11 10:53:19.006038 : Epoch  5, Batch    367, Loss  0.845600, Average Loss  0.865952, Time  0.182625
2021-09-11 10:53:20.635166 : Epoch  5, Batch    368, Loss  0.885047, Average Loss  0.866105, Time  0.171943
2021-09-11 10:53:22.256082 : Epoch  5, Batch    369, Loss  0.862685, Average Loss  0.866061, Time  0.178082
2021-09-11 10:53:23.856846 : Epoch  5, Batch    370, Loss  0.872850, Average Loss  0.866144, Time  0.171807
2021-09-11 10:53:25.485276 : Epoch  5, Batch    371, Loss  0.868072, Average Loss  0.866049, Time  0.173022
2021-09-11 10:53:27.097060 : Epoch  5, Batch    372, Loss  0.854928, Average Loss  0.866022, Time  0.176441
2021-09-11 10:53:28.741043 : Epoch  5, Batch    373, Loss  0.875378, Average Loss  0.866340, Time  0.178216
2021-09-11 10:53:30.355085 : Epoch  5, Batch    374, Loss  0.881381, Average Loss  0.866402, Time  0.170356
2021-09-11 10:53:31.977945 : Epoch  5, Batch    375, Loss  0.840955, Average Loss  0.866461, Time  0.171256
2021-09-11 10:53:33.583761 : Epoch  5, Batch    376, Loss  0.890051, Average Loss  0.866555, Time  0.171811
2021-09-11 10:53:35.190840 : Epoch  5, Batch    377, Loss  0.864663, Average Loss  0.866564, Time  0.169849
2021-09-11 10:53:36.814762 : Epoch  5, Batch    378, Loss  0.857849, Average Loss  0.866463, Time  0.170540
2021-09-11 10:53:38.429083 : Epoch  5, Batch    379, Loss  0.857617, Average Loss  0.866367, Time  0.170317
2021-09-11 10:53:40.064008 : Epoch  5, Batch    380, Loss  0.863594, Average Loss  0.866291, Time  0.172101
2021-09-11 10:53:41.685254 : Epoch  5, Batch    381, Loss  0.859331, Average Loss  0.866471, Time  0.172466
2021-09-11 10:53:43.303047 : Epoch  5, Batch    382, Loss  0.841835, Average Loss  0.866269, Time  0.171535
2021-09-11 10:53:44.915771 : Epoch  5, Batch    383, Loss  0.871056, Average Loss  0.866284, Time  0.170671
2021-09-11 10:53:46.538753 : Epoch  5, Batch    384, Loss  0.856760, Average Loss  0.866082, Time  0.170468
2021-09-11 10:53:48.149147 : Epoch  5, Batch    385, Loss  0.868374, Average Loss  0.866073, Time  0.170622
2021-09-11 10:53:49.751887 : Epoch  5, Batch    386, Loss  0.885716, Average Loss  0.866163, Time  0.170501
2021-09-11 10:53:51.387204 : Epoch  5, Batch    387, Loss  0.838171, Average Loss  0.865961, Time  0.182817
2021-09-11 10:53:53.003830 : Epoch  5, Batch    388, Loss  0.855898, Average Loss  0.865957, Time  0.170915
2021-09-11 10:53:54.631052 : Epoch  5, Batch    389, Loss  0.864109, Average Loss  0.866051, Time  0.176311
2021-09-11 10:53:56.269850 : Epoch  5, Batch    390, Loss  0.865458, Average Loss  0.866043, Time  0.171286
2021-09-11 10:53:57.909776 : Epoch  5, Batch    391, Loss  0.908869, Average Loss  0.866314, Time  0.180483
2021-09-11 10:53:59.518890 : Epoch  5, Batch    392, Loss  0.887065, Average Loss  0.866464, Time  0.171448
2021-09-11 10:54:01.142045 : Epoch  5, Batch    393, Loss  0.880610, Average Loss  0.866529, Time  0.174719
2021-09-11 10:54:02.762907 : Epoch  5, Batch    394, Loss  0.870443, Average Loss  0.866450, Time  0.178792
2021-09-11 10:54:04.391809 : Epoch  5, Batch    395, Loss  0.875227, Average Loss  0.866470, Time  0.174550
2021-09-11 10:54:06.039867 : Epoch  5, Batch    396, Loss  0.868779, Average Loss  0.866567, Time  0.172415
2021-09-11 10:54:07.670893 : Epoch  5, Batch    397, Loss  0.849072, Average Loss  0.866478, Time  0.175381
2021-09-11 10:54:09.303919 : Epoch  5, Batch    398, Loss  0.865803, Average Loss  0.866504, Time  0.170672
2021-09-11 10:54:10.932859 : Epoch  5, Batch    399, Loss  0.900980, Average Loss  0.866688, Time  0.175146
2021-09-11 10:54:12.539745 : Epoch  5, Batch    400, Loss  0.869120, Average Loss  0.866813, Time  0.177855
2021-09-11 10:54:14.155791 : Epoch  5, Batch    401, Loss  0.857801, Average Loss  0.866878, Time  0.173136
2021-09-11 10:54:15.753959 : Epoch  5, Batch    402, Loss  0.852356, Average Loss  0.866823, Time  0.173625
2021-09-11 10:54:17.358960 : Epoch  5, Batch    403, Loss  0.872348, Average Loss  0.866893, Time  0.171310
2021-09-11 10:54:19.001768 : Epoch  5, Batch    404, Loss  0.872225, Average Loss  0.866965, Time  0.170436
2021-09-11 10:54:20.644821 : Epoch  5, Batch    405, Loss  0.867646, Average Loss  0.867002, Time  0.174690
2021-09-11 10:54:22.253756 : Epoch  5, Batch    406, Loss  0.843312, Average Loss  0.866956, Time  0.171694
2021-09-11 10:54:23.851866 : Epoch  5, Batch    407, Loss  0.829684, Average Loss  0.866754, Time  0.170631
2021-09-11 10:54:25.459066 : Epoch  5, Batch    408, Loss  0.901718, Average Loss  0.866896, Time  0.175646
2021-09-11 10:54:27.063038 : Epoch  5, Batch    409, Loss  0.883840, Average Loss  0.867023, Time  0.174741
2021-09-11 10:54:28.736991 : Epoch  5, Batch    410, Loss  0.846171, Average Loss  0.866892, Time  0.174168
2021-09-11 10:54:30.347767 : Epoch  5, Batch    411, Loss  0.876196, Average Loss  0.866970, Time  0.175162
2021-09-11 10:54:31.960750 : Epoch  5, Batch    412, Loss  0.876850, Average Loss  0.867080, Time  0.170185
2021-09-11 10:54:33.593739 : Epoch  5, Batch    413, Loss  0.846237, Average Loss  0.866963, Time  0.177695
2021-09-11 10:54:35.205982 : Epoch  5, Batch    414, Loss  0.861872, Average Loss  0.866978, Time  0.175621
2021-09-11 10:54:36.795285 : Epoch  5, Batch    415, Loss  0.864718, Average Loss  0.866834, Time  0.170349
2021-09-11 10:54:38.383779 : Epoch  5, Batch    416, Loss  0.876812, Average Loss  0.866712, Time  0.175051
2021-09-11 10:54:40.012784 : Epoch  5, Batch    417, Loss  0.859873, Average Loss  0.866616, Time  0.173434
2021-09-11 10:54:41.624753 : Epoch  5, Batch    418, Loss  0.846504, Average Loss  0.866642, Time  0.174313
2021-09-11 10:54:43.229045 : Epoch  5, Batch    419, Loss  0.870079, Average Loss  0.866693, Time  0.169988
2021-09-11 10:54:44.818039 : Epoch  5, Batch    420, Loss  0.876655, Average Loss  0.866622, Time  0.175766
2021-09-11 10:54:46.394794 : Epoch  5, Batch    421, Loss  0.848665, Average Loss  0.866595, Time  0.170929
2021-09-11 10:54:48.004074 : Epoch  5, Batch    422, Loss  0.905467, Average Loss  0.866800, Time  0.173152
2021-09-11 10:54:49.584039 : Epoch  5, Batch    423, Loss  0.872059, Average Loss  0.866838, Time  0.172571
2021-09-11 10:54:51.153768 : Epoch  5, Batch    424, Loss  0.837597, Average Loss  0.866774, Time  0.173285
2021-09-11 10:54:52.738809 : Epoch  5, Batch    425, Loss  0.873772, Average Loss  0.866889, Time  0.170050
2021-09-11 10:54:54.342129 : Epoch  5, Batch    426, Loss  0.864445, Average Loss  0.866632, Time  0.170362
2021-09-11 10:54:55.945747 : Epoch  5, Batch    427, Loss  0.899143, Average Loss  0.866753, Time  0.180170
2021-09-11 10:54:57.514028 : Epoch  5, Batch    428, Loss  0.861196, Average Loss  0.866634, Time  0.170850
2021-09-11 10:54:59.143901 : Epoch  5, Batch    429, Loss  0.858936, Average Loss  0.866465, Time  0.179443
2021-09-11 10:55:00.760798 : Epoch  5, Batch    430, Loss  0.856453, Average Loss  0.866436, Time  0.179795
2021-09-11 10:55:02.386996 : Epoch  5, Batch    431, Loss  0.856141, Average Loss  0.866480, Time  0.182771
2021-09-11 10:55:04.028284 : Epoch  5, Batch    432, Loss  0.925667, Average Loss  0.866847, Time  0.173333
2021-09-11 10:55:05.635947 : Epoch  5, Batch    433, Loss  0.868777, Average Loss  0.866879, Time  0.179354
2021-09-11 10:55:07.249756 : Epoch  5, Batch    434, Loss  0.825266, Average Loss  0.866829, Time  0.172772
2021-09-11 10:55:08.840009 : Epoch  5, Batch    435, Loss  0.845388, Average Loss  0.866840, Time  0.170742
2021-09-11 10:55:10.449795 : Epoch  5, Batch    436, Loss  0.864410, Average Loss  0.866827, Time  0.170526
2021-09-11 10:55:12.047780 : Epoch  5, Batch    437, Loss  0.837697, Average Loss  0.866630, Time  0.171032
2021-09-11 10:55:13.644784 : Epoch  5, Batch    438, Loss  0.889131, Average Loss  0.866840, Time  0.177128
2021-09-11 10:55:15.253841 : Epoch  5, Batch    439, Loss  0.880548, Average Loss  0.866857, Time  0.172826
2021-09-11 10:55:16.833644 : Epoch  5, Batch    440, Loss  0.889964, Average Loss  0.867077, Time  0.172416
2021-09-11 10:55:18.425737 : Epoch  5, Batch    441, Loss  0.883138, Average Loss  0.867333, Time  0.170495
2021-09-11 10:55:20.022868 : Epoch  5, Batch    442, Loss  0.865230, Average Loss  0.867445, Time  0.170347
2021-09-11 10:55:21.633995 : Epoch  5, Batch    443, Loss  0.860237, Average Loss  0.867393, Time  0.170052
2021-09-11 10:55:23.226765 : Epoch  5, Batch    444, Loss  0.853217, Average Loss  0.867457, Time  0.170328
2021-09-11 10:55:24.817325 : Epoch  5, Batch    445, Loss  0.872749, Average Loss  0.867422, Time  0.172575
2021-09-11 10:55:26.391738 : Epoch  5, Batch    446, Loss  0.889640, Average Loss  0.867679, Time  0.171015
2021-09-11 10:55:27.958015 : Epoch  5, Batch    447, Loss  0.896224, Average Loss  0.867770, Time  0.170407
2021-09-11 10:55:29.541190 : Epoch  5, Batch    448, Loss  0.870555, Average Loss  0.867782, Time  0.174101
2021-09-11 10:55:31.151788 : Epoch  5, Batch    449, Loss  0.842019, Average Loss  0.867663, Time  0.178948
2021-09-11 10:55:32.726899 : Epoch  5, Batch    450, Loss  0.875464, Average Loss  0.867673, Time  0.176818
2021-09-11 10:55:34.304019 : Epoch  5, Batch    451, Loss  0.847674, Average Loss  0.867506, Time  0.170832
2021-09-11 10:55:35.740757 : CheckPoint: Validation Loss  0.00030674, Best Loss  0.00029019
2021-09-11 10:55:35.885828 : Epoch  5, Batch    452, Loss  0.869889, Average Loss  0.867510, Time  0.170467
2021-09-11 10:55:37.449103 : Epoch  5, Batch    453, Loss  0.838384, Average Loss  0.867444, Time  0.172092
2021-09-11 10:55:38.383923 : Epoch  4, Batch   1033, Loss  0.866667, Average Loss  0.869742, Time  0.274504
2021-09-11 10:55:39.046752 : Epoch  5, Batch    454, Loss  0.901939, Average Loss  0.867642, Time  0.175092
2021-09-11 10:55:40.661773 : Epoch  5, Batch    455, Loss  0.855449, Average Loss  0.867533, Time  0.172584
2021-09-11 10:55:40.978623 : Epoch  4, Batch   1034, Loss  0.864781, Average Loss  0.869726, Time  0.249537
2021-09-11 10:55:42.276322 : Epoch  5, Batch    456, Loss  0.892548, Average Loss  0.867662, Time  0.177078
2021-09-11 10:55:43.573289 : Epoch  4, Batch   1035, Loss  0.861020, Average Loss  0.869722, Time  0.237824
2021-09-11 10:55:44.827906 : Epoch  4, Batch   1036, Loss  0.889352, Average Loss  0.869686, Time  0.139508
2021-09-11 10:55:47.417121 : Epoch  4, Batch   1037, Loss  0.866715, Average Loss  0.869672, Time  0.237421
2021-09-11 10:55:50.019391 : Epoch  4, Batch   1038, Loss  0.862259, Average Loss  0.869555, Time  0.237346
2021-09-11 10:55:52.598895 : Epoch  4, Batch   1039, Loss  0.877603, Average Loss  0.869628, Time  0.237587
2021-09-11 10:55:55.190499 : Epoch  4, Batch   1040, Loss  0.892271, Average Loss  0.869846, Time  0.237810
2021-09-11 10:55:57.770365 : Epoch  4, Batch   1041, Loss  0.878679, Average Loss  0.869904, Time  0.238544
2021-09-11 10:56:00.352933 : Epoch  4, Batch   1042, Loss  0.874774, Average Loss  0.869941, Time  0.237597
2021-09-11 10:56:02.935650 : Epoch  4, Batch   1043, Loss  0.864668, Average Loss  0.869883, Time  0.237241
2021-09-11 10:56:05.534291 : Epoch  4, Batch   1044, Loss  0.886235, Average Loss  0.869996, Time  0.239807
2021-09-11 10:56:08.134086 : Epoch  4, Batch   1045, Loss  0.860159, Average Loss  0.869931, Time  0.237398
2021-09-11 10:56:10.717118 : Epoch  4, Batch   1046, Loss  0.868270, Average Loss  0.869835, Time  0.237288
2021-09-11 10:56:13.302094 : Epoch  4, Batch   1047, Loss  0.875666, Average Loss  0.869852, Time  0.239078
2021-09-11 10:56:15.890398 : Epoch  4, Batch   1048, Loss  0.850213, Average Loss  0.869824, Time  0.239422
2021-09-11 10:56:18.470352 : Epoch  4, Batch   1049, Loss  0.888933, Average Loss  0.869864, Time  0.237576
2021-09-11 10:56:21.055678 : Epoch  4, Batch   1050, Loss  0.877849, Average Loss  0.869983, Time  0.237856
2021-09-11 10:56:23.644108 : Epoch  4, Batch   1051, Loss  0.855824, Average Loss  0.869835, Time  0.237303
2021-09-11 10:56:26.228210 : Epoch  4, Batch   1052, Loss  0.896328, Average Loss  0.870031, Time  0.238001
2021-09-11 10:56:28.815454 : Epoch  4, Batch   1053, Loss  0.885013, Average Loss  0.870193, Time  0.238930
2021-09-11 10:56:31.397070 : Epoch  4, Batch   1054, Loss  0.888168, Average Loss  0.870349, Time  0.238172
2021-09-11 10:56:33.988058 : Epoch  4, Batch   1055, Loss  0.881743, Average Loss  0.870400, Time  0.237355
2021-09-11 10:56:36.583902 : Epoch  4, Batch   1056, Loss  0.872168, Average Loss  0.870393, Time  0.237425
2021-09-11 10:56:39.193941 : Epoch  4, Batch   1057, Loss  0.865548, Average Loss  0.870402, Time  0.239196
2021-09-11 10:56:41.815006 : Epoch  4, Batch   1058, Loss  0.885172, Average Loss  0.870354, Time  0.238758
2021-09-11 10:56:44.404414 : Epoch  4, Batch   1059, Loss  0.866133, Average Loss  0.870198, Time  0.237413
2021-09-11 10:56:47.012797 : Epoch  4, Batch   1060, Loss  0.870919, Average Loss  0.870316, Time  0.237988
2021-09-11 10:56:49.619547 : Epoch  4, Batch   1061, Loss  0.862503, Average Loss  0.870243, Time  0.237080
2021-09-11 10:56:52.215946 : Epoch  4, Batch   1062, Loss  0.866304, Average Loss  0.870268, Time  0.238629
2021-09-11 10:56:54.818770 : Epoch  4, Batch   1063, Loss  0.854773, Average Loss  0.870251, Time  0.237610
2021-09-11 10:56:57.407364 : Epoch  4, Batch   1064, Loss  0.875548, Average Loss  0.870367, Time  0.237283
2021-09-11 10:56:59.996894 : Epoch  4, Batch   1065, Loss  0.878360, Average Loss  0.870424, Time  0.239663
2021-09-11 10:57:02.589086 : Epoch  4, Batch   1066, Loss  0.872378, Average Loss  0.870314, Time  0.237944
2021-09-11 10:57:05.186932 : Epoch  4, Batch   1067, Loss  0.870858, Average Loss  0.870289, Time  0.237580
2021-09-11 10:57:07.776841 : Epoch  4, Batch   1068, Loss  0.868883, Average Loss  0.870232, Time  0.241376
2021-09-11 10:57:10.371022 : Epoch  4, Batch   1069, Loss  0.890405, Average Loss  0.870197, Time  0.240729
2021-09-11 10:57:12.953921 : Epoch  4, Batch   1070, Loss  0.883514, Average Loss  0.870247, Time  0.237338
2021-09-11 10:57:15.539247 : Epoch  4, Batch   1071, Loss  0.872820, Average Loss  0.870218, Time  0.237506
2021-09-11 10:57:18.121871 : Epoch  4, Batch   1072, Loss  0.857214, Average Loss  0.870251, Time  0.237480
2021-09-11 10:57:20.716884 : Epoch  4, Batch   1073, Loss  0.858973, Average Loss  0.870179, Time  0.237708
2021-09-11 10:57:23.317824 : Epoch  4, Batch   1074, Loss  0.876671, Average Loss  0.870284, Time  0.238487
2021-09-11 10:57:25.900945 : Epoch  4, Batch   1075, Loss  0.878951, Average Loss  0.870316, Time  0.237891
2021-09-11 10:57:28.493975 : Epoch  4, Batch   1076, Loss  0.880233, Average Loss  0.870416, Time  0.241279
2021-09-11 10:57:31.078385 : Epoch  4, Batch   1077, Loss  0.853424, Average Loss  0.870365, Time  0.240798
2021-09-11 10:57:33.670417 : Epoch  4, Batch   1078, Loss  0.898199, Average Loss  0.870521, Time  0.237967
2021-09-11 10:57:36.263437 : Epoch  4, Batch   1079, Loss  0.854994, Average Loss  0.870327, Time  0.237350
2021-09-11 10:57:38.872391 : Epoch  4, Batch   1080, Loss  0.886001, Average Loss  0.870367, Time  0.238326
2021-09-11 10:57:41.449648 : Epoch  4, Batch   1081, Loss  0.894135, Average Loss  0.870522, Time  0.236993
2021-09-11 10:57:44.051139 : Epoch  4, Batch   1082, Loss  0.867089, Average Loss  0.870558, Time  0.237670
2021-09-11 10:57:46.638403 : Epoch  4, Batch   1083, Loss  0.863439, Average Loss  0.870633, Time  0.237054
2021-09-11 10:57:49.229868 : Epoch  4, Batch   1084, Loss  0.870689, Average Loss  0.870597, Time  0.237611
2021-09-11 10:57:51.811354 : Epoch  4, Batch   1085, Loss  0.855166, Average Loss  0.870534, Time  0.238587
2021-09-11 10:57:54.391269 : Epoch  4, Batch   1086, Loss  0.844934, Average Loss  0.870435, Time  0.237156
2021-09-11 10:57:57.101121 : Epoch  4, Batch   1087, Loss  0.869110, Average Loss  0.870360, Time  0.262167
2021-09-11 10:57:59.736878 : Epoch  4, Batch   1088, Loss  0.886247, Average Loss  0.870486, Time  0.240810
2021-09-11 10:58:02.340367 : Epoch  4, Batch   1089, Loss  0.884686, Average Loss  0.870587, Time  0.237372
2021-09-11 10:58:04.949460 : Epoch  4, Batch   1090, Loss  0.848372, Average Loss  0.870478, Time  0.240911
2021-09-11 10:58:07.536897 : Epoch  4, Batch   1091, Loss  0.872189, Average Loss  0.870433, Time  0.238868
2021-09-11 10:58:10.132889 : Epoch  4, Batch   1092, Loss  0.861844, Average Loss  0.870365, Time  0.238148
2021-09-11 10:58:12.726904 : Epoch  4, Batch   1093, Loss  0.895334, Average Loss  0.870546, Time  0.238412
2021-09-11 10:58:15.317882 : Epoch  4, Batch   1094, Loss  0.870287, Average Loss  0.870511, Time  0.239002
2021-09-11 10:58:17.907840 : Epoch  4, Batch   1095, Loss  0.875807, Average Loss  0.870556, Time  0.238466
2021-09-11 10:58:20.491139 : Epoch  4, Batch   1096, Loss  0.886694, Average Loss  0.870647, Time  0.237070
2021-09-11 10:58:23.090110 : Epoch  4, Batch   1097, Loss  0.868542, Average Loss  0.870582, Time  0.238776
2021-09-11 10:58:25.671397 : Epoch  4, Batch   1098, Loss  0.857543, Average Loss  0.870547, Time  0.237698
2021-09-11 10:58:28.254403 : Epoch  4, Batch   1099, Loss  0.857307, Average Loss  0.870508, Time  0.237814
2021-09-11 10:58:30.848195 : Epoch  4, Batch   1100, Loss  0.891429, Average Loss  0.870566, Time  0.238849
2021-09-11 10:58:33.434200 : Epoch  4, Batch   1101, Loss  0.882173, Average Loss  0.870718, Time  0.238012
2021-09-11 10:58:36.022951 : Epoch  4, Batch   1102, Loss  0.875649, Average Loss  0.870806, Time  0.237691
2021-09-11 10:58:38.615984 : Epoch  4, Batch   1103, Loss  0.883731, Average Loss  0.870906, Time  0.240103
2021-09-11 10:58:41.215865 : Epoch  4, Batch   1104, Loss  0.891560, Average Loss  0.871093, Time  0.237622
2021-09-11 10:58:43.801717 : Epoch  4, Batch   1105, Loss  0.872532, Average Loss  0.871197, Time  0.236991
2021-09-11 10:58:46.393147 : Epoch  4, Batch   1106, Loss  0.880967, Average Loss  0.871293, Time  0.236829
2021-09-11 10:58:48.977101 : Epoch  4, Batch   1107, Loss  0.895179, Average Loss  0.871442, Time  0.237855
2021-09-11 10:58:51.560907 : Epoch  4, Batch   1108, Loss  0.877369, Average Loss  0.871402, Time  0.239587
2021-09-11 10:58:54.147826 : Epoch  4, Batch   1109, Loss  0.868683, Average Loss  0.871549, Time  0.237976
2021-09-11 10:58:56.726330 : Epoch  4, Batch   1110, Loss  0.862627, Average Loss  0.871625, Time  0.237254
2021-09-11 10:58:59.311836 : Epoch  4, Batch   1111, Loss  0.871370, Average Loss  0.871735, Time  0.238008
2021-09-11 10:59:01.885792 : Epoch  4, Batch   1112, Loss  0.860071, Average Loss  0.871664, Time  0.236980
2021-09-11 10:59:04.480097 : Epoch  4, Batch   1113, Loss  0.863928, Average Loss  0.871726, Time  0.237570
2021-09-11 10:59:07.089872 : Epoch  4, Batch   1114, Loss  0.872278, Average Loss  0.871742, Time  0.239711
2021-09-11 10:59:09.691007 : Epoch  4, Batch   1115, Loss  0.880677, Average Loss  0.871760, Time  0.237115
2021-09-11 10:59:12.282866 : Epoch  4, Batch   1116, Loss  0.874166, Average Loss  0.871773, Time  0.239079
2021-09-11 10:59:14.878390 : Epoch  4, Batch   1117, Loss  0.865537, Average Loss  0.871857, Time  0.239788
2021-09-11 10:59:17.466390 : Epoch  4, Batch   1118, Loss  0.853859, Average Loss  0.871819, Time  0.237429
2021-09-11 10:59:20.084061 : Epoch  4, Batch   1119, Loss  0.854665, Average Loss  0.871740, Time  0.238489
2021-09-11 10:59:22.675581 : Epoch  4, Batch   1120, Loss  0.851894, Average Loss  0.871622, Time  0.237368
2021-09-11 10:59:25.267792 : Epoch  4, Batch   1121, Loss  0.865545, Average Loss  0.871616, Time  0.237656
2021-09-11 10:59:27.858245 : Epoch  4, Batch   1122, Loss  0.875515, Average Loss  0.871678, Time  0.238700
2021-09-11 10:59:30.445400 : Epoch  4, Batch   1123, Loss  0.862691, Average Loss  0.871655, Time  0.237221
2021-09-11 10:59:33.040011 : Epoch  4, Batch   1124, Loss  0.845313, Average Loss  0.871453, Time  0.237168
2021-09-11 10:59:35.623116 : Epoch  4, Batch   1125, Loss  0.887939, Average Loss  0.871607, Time  0.237444
2021-09-11 10:59:38.219888 : Epoch  4, Batch   1126, Loss  0.890482, Average Loss  0.871753, Time  0.237373
2021-09-11 10:59:40.810115 : Epoch  4, Batch   1127, Loss  0.879375, Average Loss  0.871739, Time  0.237503
2021-09-11 10:59:43.399471 : Epoch  4, Batch   1128, Loss  0.870472, Average Loss  0.871698, Time  0.237712
2021-09-11 10:59:45.978102 : Epoch  4, Batch   1129, Loss  0.846862, Average Loss  0.871550, Time  0.240737
2021-09-11 10:59:48.554357 : Epoch  4, Batch   1130, Loss  0.897251, Average Loss  0.871731, Time  0.237180
2021-09-11 10:59:51.142297 : Epoch  4, Batch   1131, Loss  0.831531, Average Loss  0.871538, Time  0.237568
2021-09-11 10:59:53.726067 : Epoch  4, Batch   1132, Loss  0.854292, Average Loss  0.871471, Time  0.237313
2021-09-11 11:00:22.715098 : CheckPoint: Validation Loss  0.00059995, Best Loss  0.00057296
2021-09-11 11:00:24.356955 : Epoch  5, Batch    457, Loss  0.869570, Average Loss  0.867883, Time  0.185608
2021-09-11 11:00:25.965931 : Epoch  5, Batch    458, Loss  0.878544, Average Loss  0.867840, Time  0.176071
2021-09-11 11:00:27.570845 : Epoch  5, Batch    459, Loss  0.858034, Average Loss  0.867723, Time  0.179434
2021-09-11 11:00:29.169019 : Epoch  5, Batch    460, Loss  0.840572, Average Loss  0.867711, Time  0.176855
2021-09-11 11:00:30.768841 : Epoch  5, Batch    461, Loss  0.863131, Average Loss  0.867428, Time  0.170485
2021-09-11 11:00:32.385328 : Epoch  5, Batch    462, Loss  0.857605, Average Loss  0.867367, Time  0.178705
2021-09-11 11:00:33.989781 : Epoch  5, Batch    463, Loss  0.868009, Average Loss  0.867392, Time  0.176573
2021-09-11 11:00:35.616945 : Epoch  5, Batch    464, Loss  0.889420, Average Loss  0.867445, Time  0.191051
2021-09-11 11:00:37.214912 : Epoch  5, Batch    465, Loss  0.860242, Average Loss  0.867334, Time  0.174479
2021-09-11 11:00:38.833792 : Epoch  5, Batch    466, Loss  0.852763, Average Loss  0.867300, Time  0.173349
2021-09-11 11:00:40.433757 : Epoch  5, Batch    467, Loss  0.857933, Average Loss  0.867333, Time  0.169907
2021-09-11 11:00:42.039855 : Epoch  5, Batch    468, Loss  0.885729, Average Loss  0.867305, Time  0.172236
2021-09-11 11:00:43.643931 : Epoch  5, Batch    469, Loss  0.866356, Average Loss  0.867243, Time  0.170075
2021-09-11 11:00:45.222487 : Epoch  5, Batch    470, Loss  0.833588, Average Loss  0.867188, Time  0.170197
2021-09-11 11:00:46.801449 : Epoch  5, Batch    471, Loss  0.897082, Average Loss  0.867393, Time  0.171867
2021-09-11 11:00:48.395093 : Epoch  5, Batch    472, Loss  0.857593, Average Loss  0.867546, Time  0.171093
2021-09-11 11:00:49.985789 : Epoch  5, Batch    473, Loss  0.867062, Average Loss  0.867449, Time  0.174229
2021-09-11 11:00:51.583741 : Epoch  5, Batch    474, Loss  0.893555, Average Loss  0.867740, Time  0.172746
2021-09-11 11:00:53.214772 : Epoch  5, Batch    475, Loss  0.887110, Average Loss  0.867860, Time  0.169998
2021-09-11 11:00:54.832927 : Epoch  5, Batch    476, Loss  0.868035, Average Loss  0.868016, Time  0.172853
2021-09-11 11:00:56.425794 : Epoch  5, Batch    477, Loss  0.855788, Average Loss  0.867943, Time  0.177156
2021-09-11 11:00:58.018044 : Epoch  5, Batch    478, Loss  0.830542, Average Loss  0.867751, Time  0.171384
2021-09-11 11:00:59.622190 : Epoch  5, Batch    479, Loss  0.871117, Average Loss  0.867783, Time  0.174201
2021-09-11 11:01:01.214004 : Epoch  5, Batch    480, Loss  0.879409, Average Loss  0.867886, Time  0.172539
2021-09-11 11:01:02.828008 : Epoch  5, Batch    481, Loss  0.891985, Average Loss  0.867906, Time  0.170097
2021-09-11 11:01:04.410256 : Epoch  5, Batch    482, Loss  0.876901, Average Loss  0.867960, Time  0.170460
2021-09-11 11:01:05.991927 : Epoch  5, Batch    483, Loss  0.862580, Average Loss  0.867992, Time  0.172321
2021-09-11 11:01:07.579794 : Epoch  5, Batch    484, Loss  0.890649, Average Loss  0.868144, Time  0.170534
2021-09-11 11:01:09.175979 : Epoch  5, Batch    485, Loss  0.853315, Average Loss  0.868063, Time  0.171906
2021-09-11 11:01:10.782788 : Epoch  5, Batch    486, Loss  0.874763, Average Loss  0.868069, Time  0.177371
2021-09-11 11:01:12.394780 : Epoch  5, Batch    487, Loss  0.877776, Average Loss  0.868012, Time  0.171820
2021-09-11 11:01:14.006760 : Epoch  5, Batch    488, Loss  0.879360, Average Loss  0.867895, Time  0.175487
2021-09-11 11:01:15.627785 : Epoch  5, Batch    489, Loss  0.889331, Average Loss  0.867994, Time  0.179376
2021-09-11 11:01:17.234747 : Epoch  5, Batch    490, Loss  0.875978, Average Loss  0.868035, Time  0.170741
2021-09-11 11:01:18.844750 : Epoch  5, Batch    491, Loss  0.862630, Average Loss  0.868010, Time  0.192211
2021-09-11 11:01:20.415904 : Epoch  5, Batch    492, Loss  0.894695, Average Loss  0.868084, Time  0.170394
2021-09-11 11:01:22.048743 : Epoch  5, Batch    493, Loss  0.856774, Average Loss  0.868083, Time  0.172910
2021-09-11 11:01:23.706825 : Epoch  5, Batch    494, Loss  0.869604, Average Loss  0.868225, Time  0.170670
2021-09-11 11:01:25.309760 : Epoch  5, Batch    495, Loss  0.875439, Average Loss  0.868303, Time  0.174600
2021-09-11 11:01:26.900101 : Epoch  5, Batch    496, Loss  0.876419, Average Loss  0.868234, Time  0.170394
2021-09-11 11:01:28.512079 : Epoch  5, Batch    497, Loss  0.874042, Average Loss  0.868267, Time  0.173573
2021-09-11 11:01:30.157797 : Epoch  5, Batch    498, Loss  0.882628, Average Loss  0.868319, Time  0.171045
2021-09-11 11:01:31.775851 : Epoch  5, Batch    499, Loss  0.835290, Average Loss  0.868184, Time  0.174789
2021-09-11 11:01:33.399796 : Epoch  5, Batch    500, Loss  0.883637, Average Loss  0.868142, Time  0.171211
2021-09-11 11:01:35.081001 : Epoch  5, Batch    501, Loss  0.868164, Average Loss  0.868143, Time  0.174469
2021-09-11 11:01:36.699862 : Epoch  5, Batch    502, Loss  0.868966, Average Loss  0.867985, Time  0.170711
2021-09-11 11:01:38.290849 : Epoch  5, Batch    503, Loss  0.879206, Average Loss  0.868008, Time  0.175007
2021-09-11 11:01:39.914876 : Epoch  5, Batch    504, Loss  0.876377, Average Loss  0.868121, Time  0.172678
2021-09-11 11:01:41.517630 : Epoch  5, Batch    505, Loss  0.880027, Average Loss  0.868279, Time  0.170487
2021-09-11 11:01:43.117075 : Epoch  5, Batch    506, Loss  0.871203, Average Loss  0.868277, Time  0.174498
2021-09-11 11:01:44.701011 : Epoch  5, Batch    507, Loss  0.890789, Average Loss  0.868426, Time  0.173607
2021-09-11 11:01:46.293042 : Epoch  5, Batch    508, Loss  0.893344, Average Loss  0.868700, Time  0.170508
2021-09-11 11:01:47.893803 : Epoch  5, Batch    509, Loss  0.889334, Average Loss  0.868726, Time  0.171752
2021-09-11 11:01:49.471913 : Epoch  5, Batch    510, Loss  0.879387, Average Loss  0.868799, Time  0.170562
2021-09-11 11:01:51.107084 : Epoch  5, Batch    511, Loss  0.879832, Average Loss  0.868999, Time  0.170657
2021-09-11 11:01:52.722031 : Epoch  5, Batch    512, Loss  0.864722, Average Loss  0.868797, Time  0.174305
2021-09-11 11:01:54.301824 : Epoch  5, Batch    513, Loss  0.872388, Average Loss  0.868740, Time  0.178169
2021-09-11 11:01:55.875906 : Epoch  5, Batch    514, Loss  0.910679, Average Loss  0.869095, Time  0.170547
2021-09-11 11:01:57.462779 : Epoch  5, Batch    515, Loss  0.862263, Average Loss  0.869147, Time  0.170479
2021-09-11 11:01:59.071099 : Epoch  5, Batch    516, Loss  0.847528, Average Loss  0.868955, Time  0.176416
2021-09-11 11:02:00.680798 : Epoch  5, Batch    517, Loss  0.862171, Average Loss  0.868919, Time  0.170501
2021-09-11 11:02:02.293826 : Epoch  5, Batch    518, Loss  0.878099, Average Loss  0.869004, Time  0.170208
2021-09-11 11:02:03.883869 : Epoch  5, Batch    519, Loss  0.871366, Average Loss  0.869022, Time  0.173316
2021-09-11 11:02:05.458944 : Epoch  5, Batch    520, Loss  0.869354, Average Loss  0.869170, Time  0.172254
2021-09-11 11:02:07.058861 : Epoch  5, Batch    521, Loss  0.858712, Average Loss  0.869041, Time  0.173559
2021-09-11 11:02:08.649209 : Epoch  5, Batch    522, Loss  0.899930, Average Loss  0.869269, Time  0.170426
2021-09-11 11:02:10.272883 : Epoch  5, Batch    523, Loss  0.842382, Average Loss  0.869091, Time  0.173517
2021-09-11 11:02:11.868762 : Epoch  5, Batch    524, Loss  0.871718, Average Loss  0.869168, Time  0.170458
2021-09-11 11:02:13.467547 : Epoch  5, Batch    525, Loss  0.870476, Average Loss  0.869334, Time  0.170973
2021-09-11 11:02:15.057089 : Epoch  5, Batch    526, Loss  0.893822, Average Loss  0.869631, Time  0.176065
2021-09-11 11:02:16.666782 : Epoch  5, Batch    527, Loss  0.865559, Average Loss  0.869486, Time  0.178800
2021-09-11 11:02:18.277825 : Epoch  5, Batch    528, Loss  0.871244, Average Loss  0.869528, Time  0.172542
2021-09-11 11:02:19.875036 : Epoch  5, Batch    529, Loss  0.885483, Average Loss  0.869593, Time  0.172601
2021-09-11 11:02:21.450187 : Epoch  5, Batch    530, Loss  0.863019, Average Loss  0.869634, Time  0.178450
2021-09-11 11:02:23.021856 : Epoch  5, Batch    531, Loss  0.870674, Average Loss  0.869736, Time  0.171550
2021-09-11 11:02:24.605144 : Epoch  5, Batch    532, Loss  0.867408, Average Loss  0.869811, Time  0.171465
2021-09-11 11:02:26.182780 : Epoch  5, Batch    533, Loss  0.880957, Average Loss  0.869794, Time  0.170721
2021-09-11 11:02:27.764056 : Epoch  5, Batch    534, Loss  0.880107, Average Loss  0.869935, Time  0.170918
2021-09-11 11:02:29.344771 : Epoch  5, Batch    535, Loss  0.858716, Average Loss  0.869899, Time  0.170411
2021-09-11 11:02:30.955054 : Epoch  5, Batch    536, Loss  0.865462, Average Loss  0.869822, Time  0.173371
2021-09-11 11:02:32.541022 : Epoch  5, Batch    537, Loss  0.879262, Average Loss  0.869849, Time  0.174957
2021-09-11 11:02:34.120904 : Epoch  5, Batch    538, Loss  0.864686, Average Loss  0.869825, Time  0.170917
2021-09-11 11:02:35.717847 : Epoch  5, Batch    539, Loss  0.863796, Average Loss  0.869967, Time  0.174360
2021-09-11 11:02:37.290816 : Epoch  5, Batch    540, Loss  0.889257, Average Loss  0.870175, Time  0.170624
2021-09-11 11:02:38.890852 : Epoch  5, Batch    541, Loss  0.847853, Average Loss  0.870018, Time  0.172164
2021-09-11 11:02:40.479757 : Epoch  5, Batch    542, Loss  0.864386, Average Loss  0.869819, Time  0.170402
2021-09-11 11:02:42.063747 : Epoch  5, Batch    543, Loss  0.857530, Average Loss  0.869844, Time  0.182111
2021-09-11 11:02:43.652790 : Epoch  5, Batch    544, Loss  0.868783, Average Loss  0.869796, Time  0.173128
2021-09-11 11:02:45.249053 : Epoch  5, Batch    545, Loss  0.874066, Average Loss  0.869749, Time  0.171961
2021-09-11 11:02:46.846800 : Epoch  5, Batch    546, Loss  0.854799, Average Loss  0.869644, Time  0.171488
2021-09-11 11:02:48.451250 : Epoch  5, Batch    547, Loss  0.866864, Average Loss  0.869583, Time  0.177401
2021-09-11 11:02:50.048084 : Epoch  5, Batch    548, Loss  0.871112, Average Loss  0.869545, Time  0.170934
2021-09-11 11:02:51.649799 : Epoch  5, Batch    549, Loss  0.859812, Average Loss  0.869472, Time  0.171948
2021-09-11 11:02:53.230785 : Epoch  5, Batch    550, Loss  0.861716, Average Loss  0.869349, Time  0.172116
2021-09-11 11:02:54.812850 : Epoch  5, Batch    551, Loss  0.879026, Average Loss  0.869319, Time  0.170635
2021-09-11 11:02:56.395889 : Epoch  5, Batch    552, Loss  0.878740, Average Loss  0.869428, Time  0.173618
2021-09-11 11:02:57.976811 : Epoch  5, Batch    553, Loss  0.914772, Average Loss  0.869625, Time  0.170197
2021-09-11 11:02:59.565830 : Epoch  5, Batch    554, Loss  0.859364, Average Loss  0.869669, Time  0.174456
2021-09-11 11:03:01.131157 : Epoch  5, Batch    555, Loss  0.868817, Average Loss  0.869701, Time  0.174933
2021-09-11 11:03:02.731806 : Epoch  5, Batch    556, Loss  0.891015, Average Loss  0.869681, Time  0.178379
2021-09-11 11:03:57.898249 : CheckPoint: Validation Loss  0.00030649, Best Loss  0.00029019
2021-09-11 11:04:00.497962 : Epoch  4, Batch   1133, Loss  0.871812, Average Loss  0.871479, Time  0.241289
2021-09-11 11:04:03.084725 : Epoch  4, Batch   1134, Loss  0.877113, Average Loss  0.871589, Time  0.239656
2021-09-11 11:04:05.678841 : Epoch  4, Batch   1135, Loss  0.860246, Average Loss  0.871543, Time  0.237808
2021-09-11 11:04:08.262673 : Epoch  4, Batch   1136, Loss  0.873533, Average Loss  0.871504, Time  0.237086
2021-09-11 11:04:10.841949 : Epoch  4, Batch   1137, Loss  0.902955, Average Loss  0.871620, Time  0.237269
2021-09-11 11:04:13.437092 : Epoch  4, Batch   1138, Loss  0.882399, Average Loss  0.871777, Time  0.238297
2021-09-11 11:04:16.030788 : Epoch  4, Batch   1139, Loss  0.887845, Average Loss  0.871887, Time  0.239059
2021-09-11 11:04:18.626340 : Epoch  4, Batch   1140, Loss  0.873119, Average Loss  0.871955, Time  0.238647
2021-09-11 11:04:21.206116 : Epoch  4, Batch   1141, Loss  0.877725, Average Loss  0.871869, Time  0.237377
2021-09-11 11:04:23.797105 : Epoch  4, Batch   1142, Loss  0.871668, Average Loss  0.871874, Time  0.238645
2021-09-11 11:04:26.390923 : Epoch  4, Batch   1143, Loss  0.865280, Average Loss  0.871805, Time  0.237687
2021-09-11 11:04:28.965889 : Epoch  4, Batch   1144, Loss  0.871637, Average Loss  0.871857, Time  0.237379
2021-09-11 11:04:31.555591 : Epoch  4, Batch   1145, Loss  0.859181, Average Loss  0.871847, Time  0.238754
2021-09-11 11:04:34.173807 : Epoch  4, Batch   1146, Loss  0.879729, Average Loss  0.872005, Time  0.238052
2021-09-11 11:04:36.756871 : Epoch  4, Batch   1147, Loss  0.858718, Average Loss  0.871876, Time  0.237565
2021-09-11 11:04:39.356881 : Epoch  4, Batch   1148, Loss  0.875765, Average Loss  0.871850, Time  0.237284
2021-09-11 11:04:41.975345 : Epoch  4, Batch   1149, Loss  0.861219, Average Loss  0.871798, Time  0.238353
2021-09-11 11:04:44.581804 : Epoch  4, Batch   1150, Loss  0.874356, Average Loss  0.871728, Time  0.236709
2021-09-11 11:04:47.180424 : Epoch  4, Batch   1151, Loss  0.858590, Average Loss  0.871659, Time  0.239228
2021-09-11 11:04:49.770065 : Epoch  4, Batch   1152, Loss  0.868259, Average Loss  0.871627, Time  0.238090
2021-09-11 11:04:52.363148 : Epoch  4, Batch   1153, Loss  0.865717, Average Loss  0.871586, Time  0.238094
2021-09-11 11:04:54.956114 : Epoch  4, Batch   1154, Loss  0.878477, Average Loss  0.871515, Time  0.238638
2021-09-11 11:04:57.536913 : Epoch  4, Batch   1155, Loss  0.882805, Average Loss  0.871603, Time  0.237774
2021-09-11 11:05:00.121154 : Epoch  4, Batch   1156, Loss  0.863499, Average Loss  0.871514, Time  0.237265
2021-09-11 11:05:02.719101 : Epoch  4, Batch   1157, Loss  0.876173, Average Loss  0.871365, Time  0.239244
2021-09-11 11:05:05.316831 : Epoch  4, Batch   1158, Loss  0.856998, Average Loss  0.871296, Time  0.238067
2021-09-11 11:05:07.911944 : Epoch  4, Batch   1159, Loss  0.877356, Average Loss  0.871262, Time  0.237600
2021-09-11 11:05:10.503927 : Epoch  4, Batch   1160, Loss  0.884423, Average Loss  0.871297, Time  0.237441
2021-09-11 11:05:13.092766 : Epoch  4, Batch   1161, Loss  0.852620, Average Loss  0.871197, Time  0.238642
2021-09-11 11:05:15.686887 : Epoch  4, Batch   1162, Loss  0.871618, Average Loss  0.871298, Time  0.238125
2021-09-11 11:05:18.274667 : Epoch  4, Batch   1163, Loss  0.838998, Average Loss  0.871197, Time  0.237540
2021-09-11 11:05:20.876805 : Epoch  4, Batch   1164, Loss  0.890937, Average Loss  0.871340, Time  0.237493
2021-09-11 11:05:23.468093 : Epoch  4, Batch   1165, Loss  0.864858, Average Loss  0.871339, Time  0.237600
2021-09-11 11:05:26.044617 : Epoch  4, Batch   1166, Loss  0.900166, Average Loss  0.871437, Time  0.236898
2021-09-11 11:05:28.632329 : Epoch  4, Batch   1167, Loss  0.873514, Average Loss  0.871476, Time  0.238447
2021-09-11 11:05:31.213841 : Epoch  4, Batch   1168, Loss  0.855869, Average Loss  0.871426, Time  0.237108
2021-09-11 11:05:33.796668 : Epoch  4, Batch   1169, Loss  0.867844, Average Loss  0.871508, Time  0.237358
2021-09-11 11:05:36.379351 : Epoch  4, Batch   1170, Loss  0.874283, Average Loss  0.871533, Time  0.237701
2021-09-11 11:05:38.969384 : Epoch  4, Batch   1171, Loss  0.851228, Average Loss  0.871472, Time  0.238380
2021-09-11 11:05:41.606636 : Epoch  4, Batch   1172, Loss  0.863968, Average Loss  0.871484, Time  0.237956
2021-09-11 11:05:44.193692 : Epoch  4, Batch   1173, Loss  0.872616, Average Loss  0.871532, Time  0.238143
2021-09-11 11:05:46.793386 : Epoch  4, Batch   1174, Loss  0.877823, Average Loss  0.871624, Time  0.238275
2021-09-11 11:05:49.383219 : Epoch  4, Batch   1175, Loss  0.876070, Average Loss  0.871637, Time  0.239509
2021-09-11 11:05:51.972552 : Epoch  4, Batch   1176, Loss  0.847509, Average Loss  0.871443, Time  0.237617
2021-09-11 11:05:54.562921 : Epoch  4, Batch   1177, Loss  0.870250, Average Loss  0.871365, Time  0.239917
2021-09-11 11:05:57.149259 : Epoch  4, Batch   1178, Loss  0.853674, Average Loss  0.871291, Time  0.237751
2021-09-11 11:05:59.750384 : Epoch  4, Batch   1179, Loss  0.888311, Average Loss  0.871371, Time  0.238614
2021-09-11 11:06:02.336852 : Epoch  4, Batch   1180, Loss  0.866677, Average Loss  0.871416, Time  0.237645
2021-09-11 11:06:04.947448 : Epoch  4, Batch   1181, Loss  0.882443, Average Loss  0.871565, Time  0.240746
2021-09-11 11:06:07.527353 : Epoch  4, Batch   1182, Loss  0.876831, Average Loss  0.871572, Time  0.236924
2021-09-11 11:06:10.110034 : Epoch  4, Batch   1183, Loss  0.868210, Average Loss  0.871630, Time  0.237313
2021-09-11 11:06:12.706992 : Epoch  4, Batch   1184, Loss  0.865134, Average Loss  0.871617, Time  0.237851
2021-09-11 11:06:15.289972 : Epoch  4, Batch   1185, Loss  0.876208, Average Loss  0.871603, Time  0.237286
2021-09-11 11:06:17.892009 : Epoch  4, Batch   1186, Loss  0.868666, Average Loss  0.871537, Time  0.237421
2021-09-11 11:06:20.487954 : Epoch  4, Batch   1187, Loss  0.865757, Average Loss  0.871383, Time  0.238625
2021-09-11 11:06:23.076408 : Epoch  4, Batch   1188, Loss  0.870837, Average Loss  0.871344, Time  0.237834
2021-09-11 11:06:25.666801 : Epoch  4, Batch   1189, Loss  0.860870, Average Loss  0.871249, Time  0.238095
2021-09-11 11:06:28.254420 : Epoch  4, Batch   1190, Loss  0.855919, Average Loss  0.871193, Time  0.237166
2021-09-11 11:06:30.835598 : Epoch  4, Batch   1191, Loss  0.875694, Average Loss  0.871184, Time  0.237149
2021-09-11 11:06:33.412194 : Epoch  4, Batch   1192, Loss  0.857751, Average Loss  0.871148, Time  0.237130
2021-09-11 11:06:35.994657 : Epoch  4, Batch   1193, Loss  0.861160, Average Loss  0.870978, Time  0.237238
2021-09-11 11:06:38.588948 : Epoch  4, Batch   1194, Loss  0.863900, Average Loss  0.870951, Time  0.237547
2021-09-11 11:06:41.168359 : Epoch  4, Batch   1195, Loss  0.861483, Average Loss  0.870902, Time  0.237147
2021-09-11 11:06:43.770846 : Epoch  4, Batch   1196, Loss  0.869293, Average Loss  0.870899, Time  0.238044
2021-09-11 11:06:46.375455 : Epoch  4, Batch   1197, Loss  0.847857, Average Loss  0.870830, Time  0.239135
2021-09-11 11:06:48.965491 : Epoch  4, Batch   1198, Loss  0.846591, Average Loss  0.870696, Time  0.237875
2021-09-11 11:06:51.549975 : Epoch  4, Batch   1199, Loss  0.874749, Average Loss  0.870699, Time  0.238379
2021-09-11 11:06:54.143210 : Epoch  4, Batch   1200, Loss  0.864575, Average Loss  0.870677, Time  0.237335
2021-09-11 11:06:56.732985 : Epoch  4, Batch   1201, Loss  0.875855, Average Loss  0.870773, Time  0.238468
2021-09-11 11:06:59.332188 : Epoch  4, Batch   1202, Loss  0.858516, Average Loss  0.870737, Time  0.237876
2021-09-11 11:07:01.909369 : Epoch  4, Batch   1203, Loss  0.889298, Average Loss  0.870883, Time  0.237195
2021-09-11 11:07:04.493854 : Epoch  4, Batch   1204, Loss  0.880263, Average Loss  0.870914, Time  0.238439
2021-09-11 11:07:07.082414 : Epoch  4, Batch   1205, Loss  0.872426, Average Loss  0.870858, Time  0.238799
2021-09-11 11:07:09.671608 : Epoch  4, Batch   1206, Loss  0.872593, Average Loss  0.870817, Time  0.237407
2021-09-11 11:07:12.272967 : Epoch  4, Batch   1207, Loss  0.860534, Average Loss  0.870873, Time  0.237377
2021-09-11 11:07:14.871361 : Epoch  4, Batch   1208, Loss  0.877743, Average Loss  0.870923, Time  0.237181
2021-09-11 11:07:17.450008 : Epoch  4, Batch   1209, Loss  0.870235, Average Loss  0.870912, Time  0.237896
2021-09-11 11:07:20.027858 : Epoch  4, Batch   1210, Loss  0.868474, Average Loss  0.870945, Time  0.240031
2021-09-11 11:07:22.614397 : Epoch  4, Batch   1211, Loss  0.869458, Average Loss  0.870970, Time  0.237256
2021-09-11 11:07:25.204802 : Epoch  4, Batch   1212, Loss  0.857201, Average Loss  0.870949, Time  0.238817
2021-09-11 11:07:27.785873 : Epoch  4, Batch   1213, Loss  0.870196, Average Loss  0.870851, Time  0.238288
2021-09-11 11:07:30.370894 : Epoch  4, Batch   1214, Loss  0.851331, Average Loss  0.870711, Time  0.238481
2021-09-11 11:07:32.956108 : Epoch  4, Batch   1215, Loss  0.875576, Average Loss  0.870782, Time  0.237648
2021-09-11 11:07:35.563447 : Epoch  4, Batch   1216, Loss  0.861590, Average Loss  0.870858, Time  0.238791
2021-09-11 11:07:38.151309 : Epoch  4, Batch   1217, Loss  0.860019, Average Loss  0.870889, Time  0.239251
2021-09-11 11:07:40.728272 : Epoch  4, Batch   1218, Loss  0.876971, Average Loss  0.870980, Time  0.237817
2021-09-11 11:07:43.324248 : Epoch  4, Batch   1219, Loss  0.846546, Average Loss  0.870764, Time  0.237181
2021-09-11 11:07:43.831727 : CheckPoint: Validation Loss  0.00061641, Best Loss  0.00057296
2021-09-11 11:07:45.467877 : Epoch  5, Batch    557, Loss  0.888417, Average Loss  0.869759, Time  0.178446
2021-09-11 11:07:45.906045 : Epoch  4, Batch   1220, Loss  0.876128, Average Loss  0.870832, Time  0.237924
2021-09-11 11:07:47.088003 : Epoch  5, Batch    558, Loss  0.858286, Average Loss  0.869722, Time  0.170563
2021-09-11 11:07:48.488206 : Epoch  4, Batch   1221, Loss  0.874270, Average Loss  0.870822, Time  0.237643
2021-09-11 11:07:48.699817 : Epoch  5, Batch    559, Loss  0.878193, Average Loss  0.869653, Time  0.170362
2021-09-11 11:07:50.313793 : Epoch  5, Batch    560, Loss  0.890551, Average Loss  0.869889, Time  0.170236
2021-09-11 11:07:51.087206 : Epoch  4, Batch   1222, Loss  0.883596, Average Loss  0.870745, Time  0.238745
2021-09-11 11:07:51.891751 : Epoch  5, Batch    561, Loss  0.873388, Average Loss  0.869805, Time  0.170664
2021-09-11 11:07:53.508788 : Epoch  5, Batch    562, Loss  0.879781, Average Loss  0.869761, Time  0.170317
2021-09-11 11:07:53.668381 : Epoch  4, Batch   1223, Loss  0.864991, Average Loss  0.870768, Time  0.238275
2021-09-11 11:07:55.135788 : Epoch  5, Batch    563, Loss  0.892266, Average Loss  0.869853, Time  0.170718
2021-09-11 11:07:56.262370 : Epoch  4, Batch   1224, Loss  0.877100, Average Loss  0.870673, Time  0.241100
2021-09-11 11:07:56.761005 : Epoch  5, Batch    564, Loss  0.877917, Average Loss  0.869874, Time  0.170017
2021-09-11 11:07:58.357959 : Epoch  5, Batch    565, Loss  0.867365, Average Loss  0.869986, Time  0.171166
2021-09-11 11:07:58.860185 : Epoch  4, Batch   1225, Loss  0.890923, Average Loss  0.870708, Time  0.237893
2021-09-11 11:07:59.991774 : Epoch  5, Batch    566, Loss  0.881440, Average Loss  0.869990, Time  0.170222
2021-09-11 11:08:01.440808 : Epoch  4, Batch   1226, Loss  0.898871, Average Loss  0.870872, Time  0.237973
2021-09-11 11:08:01.612773 : Epoch  5, Batch    567, Loss  0.854161, Average Loss  0.870033, Time  0.170574
2021-09-11 11:08:03.250893 : Epoch  5, Batch    568, Loss  0.861211, Average Loss  0.869914, Time  0.170668
2021-09-11 11:08:04.018837 : Epoch  4, Batch   1227, Loss  0.872764, Average Loss  0.871001, Time  0.237650
2021-09-11 11:08:04.877041 : Epoch  5, Batch    569, Loss  0.879286, Average Loss  0.869997, Time  0.169980
2021-09-11 11:08:06.503082 : Epoch  5, Batch    570, Loss  0.868861, Average Loss  0.869977, Time  0.170211
2021-09-11 11:08:06.603453 : Epoch  4, Batch   1228, Loss  0.874687, Average Loss  0.870975, Time  0.237638
2021-09-11 11:08:08.118764 : Epoch  5, Batch    571, Loss  0.870216, Average Loss  0.869988, Time  0.170176
2021-09-11 11:08:09.185374 : Epoch  4, Batch   1229, Loss  0.887339, Average Loss  0.871120, Time  0.239237
2021-09-11 11:08:09.739023 : Epoch  5, Batch    572, Loss  0.870917, Average Loss  0.870068, Time  0.170162
2021-09-11 11:08:11.363754 : Epoch  5, Batch    573, Loss  0.870176, Average Loss  0.870042, Time  0.170425
2021-09-11 11:08:11.775847 : Epoch  4, Batch   1230, Loss  0.868047, Average Loss  0.871169, Time  0.237333
2021-09-11 11:08:12.981784 : Epoch  5, Batch    574, Loss  0.875055, Average Loss  0.870010, Time  0.170221
2021-09-11 11:08:14.352848 : Epoch  4, Batch   1231, Loss  0.885786, Average Loss  0.871197, Time  0.236975
2021-09-11 11:08:14.598799 : Epoch  5, Batch    575, Loss  0.878110, Average Loss  0.870196, Time  0.172329
2021-09-11 11:08:16.178898 : Epoch  5, Batch    576, Loss  0.881621, Average Loss  0.870154, Time  0.170761
2021-09-11 11:08:16.936277 : Epoch  4, Batch   1232, Loss  0.861776, Average Loss  0.871008, Time  0.237522
2021-09-11 11:08:17.777822 : Epoch  5, Batch    577, Loss  0.844784, Average Loss  0.870054, Time  0.173073
2021-09-11 11:08:19.377749 : Epoch  5, Batch    578, Loss  0.863560, Average Loss  0.870083, Time  0.171294
2021-09-11 11:08:20.993806 : Epoch  5, Batch    579, Loss  0.842953, Average Loss  0.870009, Time  0.172274
2021-09-11 11:08:22.601889 : Epoch  5, Batch    580, Loss  0.878628, Average Loss  0.870085, Time  0.172697
2021-09-11 11:08:24.179829 : Epoch  5, Batch    581, Loss  0.852526, Average Loss  0.870051, Time  0.173522
2021-09-11 11:08:25.783072 : Epoch  5, Batch    582, Loss  0.867707, Average Loss  0.870180, Time  0.180082
2021-09-11 11:08:27.376898 : Epoch  5, Batch    583, Loss  0.846274, Average Loss  0.870056, Time  0.170568
2021-09-11 11:08:29.006775 : Epoch  5, Batch    584, Loss  0.871614, Average Loss  0.870130, Time  0.170069
2021-09-11 11:08:30.632786 : Epoch  5, Batch    585, Loss  0.875328, Average Loss  0.870165, Time  0.170067
2021-09-11 11:08:32.259762 : Epoch  5, Batch    586, Loss  0.869634, Average Loss  0.870085, Time  0.170091
2021-09-11 11:08:33.901113 : Epoch  5, Batch    587, Loss  0.855291, Average Loss  0.870170, Time  0.172507
2021-09-11 11:08:35.508930 : Epoch  5, Batch    588, Loss  0.857956, Average Loss  0.870180, Time  0.170350
2021-09-11 11:08:37.130735 : Epoch  5, Batch    589, Loss  0.872325, Average Loss  0.870222, Time  0.190750
2021-09-11 11:08:38.749834 : Epoch  5, Batch    590, Loss  0.850302, Average Loss  0.870146, Time  0.173162
2021-09-11 11:08:40.333020 : Epoch  5, Batch    591, Loss  0.862855, Average Loss  0.869916, Time  0.171299
2021-09-11 11:08:41.949896 : Epoch  5, Batch    592, Loss  0.838707, Average Loss  0.869674, Time  0.173715
2021-09-11 11:08:43.555081 : Epoch  5, Batch    593, Loss  0.865150, Average Loss  0.869597, Time  0.172583
2021-09-11 11:08:45.159038 : Epoch  5, Batch    594, Loss  0.875348, Average Loss  0.869621, Time  0.170279
2021-09-11 11:08:46.756755 : Epoch  5, Batch    595, Loss  0.895138, Average Loss  0.869721, Time  0.170592
2021-09-11 11:08:48.393008 : Epoch  5, Batch    596, Loss  0.871812, Average Loss  0.869736, Time  0.172442
2021-09-11 11:08:50.007952 : Epoch  5, Batch    597, Loss  0.872689, Average Loss  0.869854, Time  0.169889
2021-09-11 11:08:51.614057 : Epoch  5, Batch    598, Loss  0.875317, Average Loss  0.869902, Time  0.170453
2021-09-11 11:08:53.217021 : Epoch  5, Batch    599, Loss  0.880668, Average Loss  0.869800, Time  0.170388
2021-09-11 11:08:54.820118 : Epoch  5, Batch    600, Loss  0.852260, Average Loss  0.869716, Time  0.171649
2021-09-11 11:08:56.420136 : Epoch  5, Batch    601, Loss  0.892073, Average Loss  0.869887, Time  0.170524
2021-09-11 11:08:58.018847 : Epoch  5, Batch    602, Loss  0.893630, Average Loss  0.870093, Time  0.170802
2021-09-11 11:08:59.644768 : Epoch  5, Batch    603, Loss  0.877263, Average Loss  0.870118, Time  0.169935
2021-09-11 11:09:01.270761 : Epoch  5, Batch    604, Loss  0.860125, Average Loss  0.870057, Time  0.170210
2021-09-11 11:09:02.899945 : Epoch  5, Batch    605, Loss  0.863453, Average Loss  0.870037, Time  0.170902
2021-09-11 11:09:04.516987 : Epoch  5, Batch    606, Loss  0.867196, Average Loss  0.870156, Time  0.170162
2021-09-11 11:09:06.141780 : Epoch  5, Batch    607, Loss  0.863623, Average Loss  0.870326, Time  0.170462
2021-09-11 11:09:07.768103 : Epoch  5, Batch    608, Loss  0.899351, Average Loss  0.870314, Time  0.170022
2021-09-11 11:09:09.391820 : Epoch  5, Batch    609, Loss  0.861854, Average Loss  0.870204, Time  0.169966
2021-09-11 11:09:11.016853 : Epoch  5, Batch    610, Loss  0.877571, Average Loss  0.870361, Time  0.169891
2021-09-11 11:09:12.627087 : Epoch  5, Batch    611, Loss  0.897119, Average Loss  0.870465, Time  0.170327
2021-09-11 11:09:14.268923 : Epoch  5, Batch    612, Loss  0.872613, Average Loss  0.870444, Time  0.170338
2021-09-11 11:09:15.910857 : Epoch  5, Batch    613, Loss  0.839410, Average Loss  0.870410, Time  0.172913
2021-09-11 11:09:17.518061 : Epoch  5, Batch    614, Loss  0.899484, Average Loss  0.870598, Time  0.170627
2021-09-11 11:09:19.112891 : Epoch  5, Batch    615, Loss  0.896428, Average Loss  0.870757, Time  0.170254
2021-09-11 11:09:20.696429 : Epoch  5, Batch    616, Loss  0.898222, Average Loss  0.870864, Time  0.170134
2021-09-11 11:09:22.293134 : Epoch  5, Batch    617, Loss  0.848164, Average Loss  0.870805, Time  0.172626
2021-09-11 11:09:23.900796 : Epoch  5, Batch    618, Loss  0.880571, Average Loss  0.870976, Time  0.170232
2021-09-11 11:09:25.501085 : Epoch  5, Batch    619, Loss  0.886047, Average Loss  0.871055, Time  0.172640
2021-09-11 11:09:27.109798 : Epoch  5, Batch    620, Loss  0.856223, Average Loss  0.870953, Time  0.174250
2021-09-11 11:09:28.731830 : Epoch  5, Batch    621, Loss  0.850072, Average Loss  0.870960, Time  0.170037
2021-09-11 11:09:30.324799 : Epoch  5, Batch    622, Loss  0.912149, Average Loss  0.870994, Time  0.174191
2021-09-11 11:09:31.912040 : Epoch  5, Batch    623, Loss  0.912454, Average Loss  0.871196, Time  0.174672
2021-09-11 11:09:33.501823 : Epoch  5, Batch    624, Loss  0.862743, Average Loss  0.871321, Time  0.169935
2021-09-11 11:09:35.129769 : Epoch  5, Batch    625, Loss  0.851896, Average Loss  0.871212, Time  0.170074
2021-09-11 11:09:36.749942 : Epoch  5, Batch    626, Loss  0.853294, Average Loss  0.871156, Time  0.170234
2021-09-11 11:09:38.382761 : Epoch  5, Batch    627, Loss  0.849084, Average Loss  0.870906, Time  0.170557
2021-09-11 11:09:39.971810 : Epoch  5, Batch    628, Loss  0.876529, Average Loss  0.870983, Time  0.170429
2021-09-11 11:09:41.570868 : Epoch  5, Batch    629, Loss  0.854458, Average Loss  0.870960, Time  0.171372
2021-09-11 11:09:43.186215 : Epoch  5, Batch    630, Loss  0.862310, Average Loss  0.870990, Time  0.172484
2021-09-11 11:09:44.791750 : Epoch  5, Batch    631, Loss  0.881104, Average Loss  0.871114, Time  0.173608
2021-09-11 11:09:46.388799 : Epoch  5, Batch    632, Loss  0.895922, Average Loss  0.870966, Time  0.172618
2021-09-11 11:09:47.973227 : Epoch  5, Batch    633, Loss  0.881861, Average Loss  0.871031, Time  0.170343
2021-09-11 11:09:49.594818 : Epoch  5, Batch    634, Loss  0.884457, Average Loss  0.871327, Time  0.170348
2021-09-11 11:09:51.214829 : Epoch  5, Batch    635, Loss  0.853612, Average Loss  0.871368, Time  0.170194
2021-09-11 11:09:52.841802 : Epoch  5, Batch    636, Loss  0.876833, Average Loss  0.871430, Time  0.169857
2021-09-11 11:09:54.448048 : Epoch  5, Batch    637, Loss  0.869302, Average Loss  0.871588, Time  0.170087
2021-09-11 11:09:56.043843 : Epoch  5, Batch    638, Loss  0.880461, Average Loss  0.871545, Time  0.173319
2021-09-11 11:09:57.657925 : Epoch  5, Batch    639, Loss  0.861497, Average Loss  0.871450, Time  0.173926
2021-09-11 11:09:59.259831 : Epoch  5, Batch    640, Loss  0.858654, Average Loss  0.871293, Time  0.170455
2021-09-11 11:10:00.857657 : Epoch  5, Batch    641, Loss  0.857050, Average Loss  0.871163, Time  0.170790
2021-09-11 11:10:02.475787 : Epoch  5, Batch    642, Loss  0.878829, Average Loss  0.871231, Time  0.169937
2021-09-11 11:10:04.066943 : Epoch  5, Batch    643, Loss  0.876825, Average Loss  0.871314, Time  0.170372
2021-09-11 11:10:05.685826 : Epoch  5, Batch    644, Loss  0.851339, Average Loss  0.871304, Time  0.174686
2021-09-11 11:10:07.281959 : Epoch  5, Batch    645, Loss  0.893945, Average Loss  0.871410, Time  0.170255
2021-09-11 11:10:08.879865 : Epoch  5, Batch    646, Loss  0.856796, Average Loss  0.871246, Time  0.170616
2021-09-11 11:10:10.514769 : Epoch  5, Batch    647, Loss  0.850816, Average Loss  0.871019, Time  0.170361
2021-09-11 11:10:12.140005 : Epoch  5, Batch    648, Loss  0.873784, Average Loss  0.871035, Time  0.169857
2021-09-11 11:10:13.757988 : Epoch  5, Batch    649, Loss  0.871348, Average Loss  0.871182, Time  0.169899
2021-09-11 11:10:15.387904 : Epoch  5, Batch    650, Loss  0.852391, Average Loss  0.871066, Time  0.170085
2021-09-11 11:10:16.990738 : Epoch  5, Batch    651, Loss  0.870536, Average Loss  0.871181, Time  0.173828
2021-09-11 11:10:18.598840 : Epoch  5, Batch    652, Loss  0.863261, Average Loss  0.871148, Time  0.170765
2021-09-11 11:10:20.230042 : Epoch  5, Batch    653, Loss  0.873610, Average Loss  0.871324, Time  0.170696
2021-09-11 11:10:21.859812 : Epoch  5, Batch    654, Loss  0.876091, Average Loss  0.871194, Time  0.172880
2021-09-11 11:10:23.470777 : Epoch  5, Batch    655, Loss  0.852273, Average Loss  0.871179, Time  0.170273
2021-09-11 11:10:25.070747 : Epoch  5, Batch    656, Loss  0.879662, Average Loss  0.871114, Time  0.172324
2021-09-11 11:12:18.895721 : CheckPoint: Validation Loss  0.00031249, Best Loss  0.00029019
2021-09-11 11:12:21.478134 : Epoch  4, Batch   1233, Loss  0.853783, Average Loss  0.870944, Time  0.238548
2021-09-11 11:12:24.054881 : Epoch  4, Batch   1234, Loss  0.859246, Average Loss  0.870916, Time  0.237674
2021-09-11 11:12:26.632874 : Epoch  4, Batch   1235, Loss  0.884048, Average Loss  0.871031, Time  0.237896
2021-09-11 11:12:29.212352 : Epoch  4, Batch   1236, Loss  0.843398, Average Loss  0.870801, Time  0.239760
2021-09-11 11:12:31.799792 : Epoch  4, Batch   1237, Loss  0.886334, Average Loss  0.870900, Time  0.239184
2021-09-11 11:12:34.372552 : Epoch  4, Batch   1238, Loss  0.867265, Average Loss  0.870925, Time  0.237505
2021-09-11 11:12:36.946813 : Epoch  4, Batch   1239, Loss  0.850226, Average Loss  0.870788, Time  0.237611
2021-09-11 11:12:39.529996 : Epoch  4, Batch   1240, Loss  0.879260, Average Loss  0.870723, Time  0.237290
2021-09-11 11:12:42.124350 : Epoch  4, Batch   1241, Loss  0.851646, Average Loss  0.870587, Time  0.237057
2021-09-11 11:12:44.733810 : Epoch  4, Batch   1242, Loss  0.882755, Average Loss  0.870627, Time  0.240517
2021-09-11 11:12:47.315022 : Epoch  4, Batch   1243, Loss  0.863902, Average Loss  0.870624, Time  0.237512
2021-09-11 11:12:49.897936 : Epoch  4, Batch   1244, Loss  0.853263, Average Loss  0.870459, Time  0.238460
2021-09-11 11:12:52.489854 : Epoch  4, Batch   1245, Loss  0.874974, Average Loss  0.870533, Time  0.237703
2021-09-11 11:12:55.071373 : Epoch  4, Batch   1246, Loss  0.860426, Average Loss  0.870494, Time  0.238017
2021-09-11 11:12:57.657076 : Epoch  4, Batch   1247, Loss  0.875667, Average Loss  0.870494, Time  0.238411
2021-09-11 11:13:00.228860 : Epoch  4, Batch   1248, Loss  0.874844, Average Loss  0.870617, Time  0.237131
2021-09-11 11:13:02.840228 : Epoch  4, Batch   1249, Loss  0.893011, Average Loss  0.870637, Time  0.237113
2021-09-11 11:13:05.411042 : Epoch  4, Batch   1250, Loss  0.880535, Average Loss  0.870650, Time  0.237254
2021-09-11 11:13:07.993409 : Epoch  4, Batch   1251, Loss  0.875908, Average Loss  0.870751, Time  0.237454
2021-09-11 11:13:10.615834 : Epoch  4, Batch   1252, Loss  0.865934, Average Loss  0.870599, Time  0.240607
2021-09-11 11:13:13.210967 : Epoch  4, Batch   1253, Loss  0.860161, Average Loss  0.870475, Time  0.237796
2021-09-11 11:13:15.816211 : Epoch  4, Batch   1254, Loss  0.871948, Average Loss  0.870394, Time  0.238351
2021-09-11 11:13:18.385806 : Epoch  4, Batch   1255, Loss  0.873724, Average Loss  0.870353, Time  0.237217
2021-09-11 11:13:20.954732 : Epoch  4, Batch   1256, Loss  0.877696, Average Loss  0.870381, Time  0.239712
2021-09-11 11:13:23.542203 : Epoch  4, Batch   1257, Loss  0.866004, Average Loss  0.870383, Time  0.237617
2021-09-11 11:13:26.126995 : Epoch  4, Batch   1258, Loss  0.881488, Average Loss  0.870365, Time  0.238129
2021-09-11 11:13:28.703366 : Epoch  4, Batch   1259, Loss  0.884735, Average Loss  0.870458, Time  0.237216
2021-09-11 11:13:31.291587 : Epoch  4, Batch   1260, Loss  0.871855, Average Loss  0.870463, Time  0.237740
2021-09-11 11:13:33.867590 : Epoch  4, Batch   1261, Loss  0.866697, Average Loss  0.870484, Time  0.237233
2021-09-11 11:13:36.481851 : Epoch  4, Batch   1262, Loss  0.872200, Average Loss  0.870513, Time  0.237601
2021-09-11 11:13:39.056370 : Epoch  4, Batch   1263, Loss  0.878904, Average Loss  0.870634, Time  0.237148
2021-09-11 11:13:41.653016 : Epoch  4, Batch   1264, Loss  0.861304, Average Loss  0.870563, Time  0.237356
2021-09-11 11:13:44.237946 : Epoch  4, Batch   1265, Loss  0.859283, Average Loss  0.870467, Time  0.237468
2021-09-11 11:13:46.809362 : Epoch  4, Batch   1266, Loss  0.853558, Average Loss  0.870373, Time  0.238596
2021-09-11 11:13:49.380100 : Epoch  4, Batch   1267, Loss  0.856403, Average Loss  0.870301, Time  0.238903
2021-09-11 11:13:51.966064 : Epoch  4, Batch   1268, Loss  0.883892, Average Loss  0.870376, Time  0.239286
2021-09-11 11:13:54.535276 : Epoch  4, Batch   1269, Loss  0.858189, Average Loss  0.870215, Time  0.237718
2021-09-11 11:13:57.124553 : Epoch  4, Batch   1270, Loss  0.877262, Average Loss  0.870184, Time  0.238263
2021-09-11 11:13:59.700601 : Epoch  4, Batch   1271, Loss  0.857680, Average Loss  0.870108, Time  0.238360
2021-09-11 11:14:02.282642 : Epoch  4, Batch   1272, Loss  0.870882, Average Loss  0.870176, Time  0.238751
2021-09-11 11:14:04.855199 : Epoch  4, Batch   1273, Loss  0.871265, Average Loss  0.870238, Time  0.237476
2021-09-11 11:14:07.430985 : Epoch  4, Batch   1274, Loss  0.890432, Average Loss  0.870306, Time  0.238145
2021-09-11 11:14:10.012410 : Epoch  4, Batch   1275, Loss  0.867093, Average Loss  0.870247, Time  0.237611
2021-09-11 11:14:12.593796 : Epoch  4, Batch   1276, Loss  0.874038, Average Loss  0.870216, Time  0.237186
2021-09-11 11:14:15.186574 : Epoch  4, Batch   1277, Loss  0.876436, Average Loss  0.870331, Time  0.237243
2021-09-11 11:14:17.761684 : Epoch  4, Batch   1278, Loss  0.855524, Average Loss  0.870118, Time  0.239628
2021-09-11 11:14:20.346844 : Epoch  4, Batch   1279, Loss  0.865726, Average Loss  0.870171, Time  0.237462
2021-09-11 11:14:22.919862 : Epoch  4, Batch   1280, Loss  0.836754, Average Loss  0.869925, Time  0.240112
2021-09-11 11:14:25.488008 : Epoch  4, Batch   1281, Loss  0.849908, Average Loss  0.869704, Time  0.237902
2021-09-11 11:14:28.077019 : Epoch  4, Batch   1282, Loss  0.858088, Average Loss  0.869659, Time  0.237764
2021-09-11 11:14:30.641104 : Epoch  4, Batch   1283, Loss  0.887769, Average Loss  0.869781, Time  0.237312
2021-09-11 11:14:33.212183 : Epoch  4, Batch   1284, Loss  0.849296, Average Loss  0.869674, Time  0.238750
2021-09-11 11:14:35.793184 : Epoch  4, Batch   1285, Loss  0.861707, Average Loss  0.869707, Time  0.237385
2021-09-11 11:14:38.384906 : Epoch  4, Batch   1286, Loss  0.865731, Average Loss  0.869810, Time  0.237728
2021-09-11 11:14:40.959806 : Epoch  4, Batch   1287, Loss  0.880448, Average Loss  0.869867, Time  0.237794
2021-09-11 11:14:43.564819 : Epoch  4, Batch   1288, Loss  0.859819, Average Loss  0.869735, Time  0.240648
2021-09-11 11:14:46.161093 : Epoch  4, Batch   1289, Loss  0.866606, Average Loss  0.869645, Time  0.240724
2021-09-11 11:14:48.735179 : Epoch  4, Batch   1290, Loss  0.865707, Average Loss  0.869731, Time  0.237552
2021-09-11 11:14:51.308019 : Epoch  4, Batch   1291, Loss  0.867118, Average Loss  0.869706, Time  0.239230
2021-09-11 11:14:53.889960 : Epoch  4, Batch   1292, Loss  0.862322, Average Loss  0.869708, Time  0.238698
2021-09-11 11:14:56.463319 : Epoch  4, Batch   1293, Loss  0.855869, Average Loss  0.869511, Time  0.238654
2021-09-11 11:14:59.048964 : Epoch  4, Batch   1294, Loss  0.879801, Average Loss  0.869559, Time  0.238063
2021-09-11 11:15:01.623897 : Epoch  4, Batch   1295, Loss  0.863547, Average Loss  0.869497, Time  0.238586
2021-09-11 11:15:04.223236 : Epoch  4, Batch   1296, Loss  0.875499, Average Loss  0.869441, Time  0.239038
2021-09-11 11:15:06.463787 : CheckPoint: Validation Loss  0.00061477, Best Loss  0.00057296
2021-09-11 11:15:06.821876 : Epoch  4, Batch   1297, Loss  0.882615, Average Loss  0.869512, Time  0.237724
2021-09-11 11:15:08.086854 : Epoch  5, Batch    657, Loss  0.840166, Average Loss  0.870967, Time  0.177368
2021-09-11 11:15:09.403068 : Epoch  4, Batch   1298, Loss  0.874022, Average Loss  0.869594, Time  0.238281
2021-09-11 11:15:09.682805 : Epoch  5, Batch    658, Loss  0.889763, Average Loss  0.871023, Time  0.170660
2021-09-11 11:15:11.266893 : Epoch  5, Batch    659, Loss  0.884302, Average Loss  0.871155, Time  0.178613
2021-09-11 11:15:11.978373 : Epoch  4, Batch   1299, Loss  0.857922, Average Loss  0.869597, Time  0.237195
2021-09-11 11:15:12.880105 : Epoch  5, Batch    660, Loss  0.839813, Average Loss  0.871151, Time  0.180964
2021-09-11 11:15:14.493132 : Epoch  5, Batch    661, Loss  0.875488, Average Loss  0.871213, Time  0.170410
2021-09-11 11:15:14.555871 : Epoch  4, Batch   1300, Loss  0.858456, Average Loss  0.869432, Time  0.237970
2021-09-11 11:15:16.107379 : Epoch  5, Batch    662, Loss  0.854509, Average Loss  0.871197, Time  0.174006
2021-09-11 11:15:17.129836 : Epoch  4, Batch   1301, Loss  0.872391, Average Loss  0.869383, Time  0.237536
2021-09-11 11:15:17.676756 : Epoch  5, Batch    663, Loss  0.861353, Average Loss  0.871164, Time  0.170983
2021-09-11 11:15:19.284809 : Epoch  5, Batch    664, Loss  0.873270, Average Loss  0.871083, Time  0.175710
2021-09-11 11:15:19.703177 : Epoch  4, Batch   1302, Loss  0.873757, Average Loss  0.869374, Time  0.237602
2021-09-11 11:15:20.905815 : Epoch  5, Batch    665, Loss  0.860829, Average Loss  0.871086, Time  0.173962
2021-09-11 11:15:22.259266 : Epoch  4, Batch   1303, Loss  0.857164, Average Loss  0.869241, Time  0.238454
2021-09-11 11:15:22.493749 : Epoch  5, Batch    666, Loss  0.873752, Average Loss  0.871191, Time  0.171242
2021-09-11 11:15:24.057178 : Epoch  5, Batch    667, Loss  0.877544, Average Loss  0.871289, Time  0.170785
2021-09-11 11:15:24.845980 : Epoch  4, Batch   1304, Loss  0.872486, Average Loss  0.869146, Time  0.237430
2021-09-11 11:15:25.675799 : Epoch  5, Batch    668, Loss  0.855514, Average Loss  0.871138, Time  0.173320
2021-09-11 11:15:27.289866 : Epoch  5, Batch    669, Loss  0.894867, Average Loss  0.871280, Time  0.171118
2021-09-11 11:15:27.415922 : Epoch  4, Batch   1305, Loss  0.883860, Average Loss  0.869202, Time  0.237267
2021-09-11 11:15:28.902345 : Epoch  5, Batch    670, Loss  0.834948, Average Loss  0.871287, Time  0.171437
2021-09-11 11:15:29.992025 : Epoch  4, Batch   1306, Loss  0.883402, Average Loss  0.869215, Time  0.238116
2021-09-11 11:15:30.496777 : Epoch  5, Batch    671, Loss  0.865372, Average Loss  0.871129, Time  0.186375
2021-09-11 11:15:32.075860 : Epoch  5, Batch    672, Loss  0.882139, Average Loss  0.871251, Time  0.174649
2021-09-11 11:15:32.610845 : Epoch  4, Batch   1307, Loss  0.869588, Average Loss  0.869087, Time  0.238819
2021-09-11 11:15:33.686763 : Epoch  5, Batch    673, Loss  0.858045, Average Loss  0.871206, Time  0.173520
2021-09-11 11:15:35.190070 : Epoch  4, Batch   1308, Loss  0.873620, Average Loss  0.869068, Time  0.237514
2021-09-11 11:15:35.281766 : Epoch  5, Batch    674, Loss  0.907679, Average Loss  0.871277, Time  0.170619
2021-09-11 11:15:36.897954 : Epoch  5, Batch    675, Loss  0.849737, Average Loss  0.871090, Time  0.170728
2021-09-11 11:15:37.761796 : Epoch  4, Batch   1309, Loss  0.873163, Average Loss  0.869090, Time  0.240785
2021-09-11 11:15:38.515815 : Epoch  5, Batch    676, Loss  0.856965, Average Loss  0.871035, Time  0.171668
2021-09-11 11:15:40.125902 : Epoch  5, Batch    677, Loss  0.815451, Average Loss  0.870833, Time  0.171041
2021-09-11 11:15:40.348733 : Epoch  4, Batch   1310, Loss  0.861907, Average Loss  0.869087, Time  0.239677
2021-09-11 11:15:41.745754 : Epoch  5, Batch    678, Loss  0.870222, Average Loss  0.871031, Time  0.170956
2021-09-11 11:15:42.924403 : Epoch  4, Batch   1311, Loss  0.871858, Average Loss  0.869089, Time  0.237347
2021-09-11 11:15:43.344809 : Epoch  5, Batch    679, Loss  0.859283, Average Loss  0.870972, Time  0.170385
2021-09-11 11:15:44.972765 : Epoch  5, Batch    680, Loss  0.856572, Average Loss  0.870858, Time  0.178258
2021-09-11 11:15:45.502365 : Epoch  4, Batch   1312, Loss  0.883030, Average Loss  0.869204, Time  0.236940
2021-09-11 11:15:46.584873 : Epoch  5, Batch    681, Loss  0.874970, Average Loss  0.870773, Time  0.171783
2021-09-11 11:15:48.087361 : Epoch  4, Batch   1313, Loss  0.856482, Average Loss  0.869167, Time  0.237962
2021-09-11 11:15:48.185800 : Epoch  5, Batch    682, Loss  0.848511, Average Loss  0.870631, Time  0.176107
2021-09-11 11:15:49.788728 : Epoch  5, Batch    683, Loss  0.882321, Average Loss  0.870730, Time  0.173777
2021-09-11 11:15:50.673373 : Epoch  4, Batch   1314, Loss  0.859395, Average Loss  0.869102, Time  0.237890
2021-09-11 11:15:51.385135 : Epoch  5, Batch    684, Loss  0.853237, Average Loss  0.870543, Time  0.171395
2021-09-11 11:15:53.006774 : Epoch  5, Batch    685, Loss  0.856227, Average Loss  0.870557, Time  0.170262
2021-09-11 11:15:53.253880 : Epoch  4, Batch   1315, Loss  0.891913, Average Loss  0.869158, Time  0.238394
2021-09-11 11:15:54.602782 : Epoch  5, Batch    686, Loss  0.878512, Average Loss  0.870576, Time  0.174247
2021-09-11 11:15:55.815038 : Epoch  4, Batch   1316, Loss  0.873643, Average Loss  0.869156, Time  0.238306
2021-09-11 11:15:56.222835 : Epoch  5, Batch    687, Loss  0.858665, Average Loss  0.870480, Time  0.172650
2021-09-11 11:15:57.815494 : Epoch  5, Batch    688, Loss  0.890121, Average Loss  0.870534, Time  0.170626
2021-09-11 11:15:58.399882 : Epoch  4, Batch   1317, Loss  0.880322, Average Loss  0.869230, Time  0.240341
2021-09-11 11:15:59.438292 : Epoch  5, Batch    689, Loss  0.868144, Average Loss  0.870428, Time  0.170354
2021-09-11 11:16:00.980859 : Epoch  4, Batch   1318, Loss  0.893568, Average Loss  0.869428, Time  0.237809
2021-09-11 11:16:01.065039 : Epoch  5, Batch    690, Loss  0.860468, Average Loss  0.870351, Time  0.175434
2021-09-11 11:16:02.681871 : Epoch  5, Batch    691, Loss  0.877914, Average Loss  0.870427, Time  0.170878
2021-09-11 11:16:03.554171 : Epoch  4, Batch   1319, Loss  0.874800, Average Loss  0.869529, Time  0.239017
2021-09-11 11:16:04.300729 : Epoch  5, Batch    692, Loss  0.853887, Average Loss  0.870223, Time  0.176422
2021-09-11 11:16:05.883810 : Epoch  5, Batch    693, Loss  0.876717, Average Loss  0.870323, Time  0.173989
2021-09-11 11:16:06.132864 : Epoch  4, Batch   1320, Loss  0.884052, Average Loss  0.869690, Time  0.239299
2021-09-11 11:16:07.504842 : Epoch  5, Batch    694, Loss  0.863521, Average Loss  0.870292, Time  0.176231
2021-09-11 11:16:08.713286 : Epoch  4, Batch   1321, Loss  0.835875, Average Loss  0.869541, Time  0.237211
2021-09-11 11:16:09.100742 : Epoch  5, Batch    695, Loss  0.845435, Average Loss  0.870142, Time  0.170616
2021-09-11 11:16:10.691845 : Epoch  5, Batch    696, Loss  0.889195, Average Loss  0.870206, Time  0.170060
2021-09-11 11:16:11.287159 : Epoch  4, Batch   1322, Loss  0.869849, Average Loss  0.869513, Time  0.238189
2021-09-11 11:16:12.286866 : Epoch  5, Batch    697, Loss  0.890939, Average Loss  0.870291, Time  0.170882
2021-09-11 11:16:13.861763 : Epoch  4, Batch   1323, Loss  0.889623, Average Loss  0.869648, Time  0.236607
2021-09-11 11:16:13.883910 : Epoch  5, Batch    698, Loss  0.865777, Average Loss  0.870207, Time  0.170537
2021-09-11 11:16:15.488537 : Epoch  5, Batch    699, Loss  0.863748, Average Loss  0.870349, Time  0.170918
2021-09-11 11:16:16.472033 : Epoch  4, Batch   1324, Loss  0.851395, Average Loss  0.869678, Time  0.238830
2021-09-11 11:16:17.086731 : Epoch  5, Batch    700, Loss  0.850600, Average Loss  0.870184, Time  0.171283
2021-09-11 11:16:18.738781 : Epoch  5, Batch    701, Loss  0.865291, Average Loss  0.870169, Time  0.174350
2021-09-11 11:16:19.059829 : Epoch  4, Batch   1325, Loss  0.866063, Average Loss  0.869569, Time  0.243140
2021-09-11 11:16:20.366799 : Epoch  5, Batch    702, Loss  0.900542, Average Loss  0.870327, Time  0.173015
2021-09-11 11:16:21.631850 : Epoch  4, Batch   1326, Loss  0.870470, Average Loss  0.869469, Time  0.237517
2021-09-11 11:16:22.000046 : Epoch  5, Batch    703, Loss  0.870345, Average Loss  0.870283, Time  0.184425
2021-09-11 11:16:23.622135 : Epoch  5, Batch    704, Loss  0.884931, Average Loss  0.870326, Time  0.170527
2021-09-11 11:16:24.206790 : Epoch  4, Batch   1327, Loss  0.857667, Average Loss  0.869360, Time  0.238140
2021-09-11 11:16:25.225737 : Epoch  5, Batch    705, Loss  0.857216, Average Loss  0.870212, Time  0.170135
2021-09-11 11:16:26.790868 : Epoch  4, Batch   1328, Loss  0.871909, Average Loss  0.869367, Time  0.237180
2021-09-11 11:16:26.850039 : Epoch  5, Batch    706, Loss  0.877262, Average Loss  0.870242, Time  0.170482
2021-09-11 11:16:28.460881 : Epoch  5, Batch    707, Loss  0.894706, Average Loss  0.870261, Time  0.170729
2021-09-11 11:16:29.382964 : Epoch  4, Batch   1329, Loss  0.875201, Average Loss  0.869509, Time  0.237158
2021-09-11 11:16:30.075087 : Epoch  5, Batch    708, Loss  0.864031, Average Loss  0.870115, Time  0.173035
2021-09-11 11:16:31.674037 : Epoch  5, Batch    709, Loss  0.877686, Average Loss  0.870057, Time  0.170564
2021-09-11 11:16:31.994987 : Epoch  4, Batch   1330, Loss  0.872453, Average Loss  0.869385, Time  0.239285
2021-09-11 11:16:33.301760 : Epoch  5, Batch    710, Loss  0.864931, Average Loss  0.869984, Time  0.172278
2021-09-11 11:16:34.590020 : Epoch  4, Batch   1331, Loss  0.871966, Average Loss  0.869587, Time  0.238101
2021-09-11 11:16:34.930041 : Epoch  5, Batch    711, Loss  0.898475, Average Loss  0.870078, Time  0.172059
2021-09-11 11:16:36.541797 : Epoch  5, Batch    712, Loss  0.879963, Average Loss  0.870154, Time  0.179683
2021-09-11 11:16:37.170925 : Epoch  4, Batch   1332, Loss  0.875790, Average Loss  0.869695, Time  0.237518
2021-09-11 11:16:38.158759 : Epoch  5, Batch    713, Loss  0.877326, Average Loss  0.870178, Time  0.171238
2021-09-11 11:16:39.771784 : Epoch  5, Batch    714, Loss  0.867464, Average Loss  0.869962, Time  0.171918
2021-09-11 11:16:41.366784 : Epoch  5, Batch    715, Loss  0.849993, Average Loss  0.869901, Time  0.170180
2021-09-11 11:16:42.982906 : Epoch  5, Batch    716, Loss  0.901146, Average Loss  0.870169, Time  0.169886
2021-09-11 11:16:44.646919 : Epoch  5, Batch    717, Loss  0.871593, Average Loss  0.870216, Time  0.177037
2021-09-11 11:16:46.299401 : Epoch  5, Batch    718, Loss  0.872490, Average Loss  0.870188, Time  0.175186
2021-09-11 11:16:47.908935 : Epoch  5, Batch    719, Loss  0.845772, Average Loss  0.870060, Time  0.170250
2021-09-11 11:16:49.546838 : Epoch  5, Batch    720, Loss  0.872225, Average Loss  0.870075, Time  0.176670
2021-09-11 11:16:51.159910 : Epoch  5, Batch    721, Loss  0.838611, Average Loss  0.869974, Time  0.170833
2021-09-11 11:16:52.763761 : Epoch  5, Batch    722, Loss  0.867166, Average Loss  0.869810, Time  0.173907
2021-09-11 11:16:54.362095 : Epoch  5, Batch    723, Loss  0.881062, Average Loss  0.870004, Time  0.173185
2021-09-11 11:16:55.982731 : Epoch  5, Batch    724, Loss  0.865816, Average Loss  0.869974, Time  0.170338
2021-09-11 11:16:57.589817 : Epoch  5, Batch    725, Loss  0.858215, Average Loss  0.869913, Time  0.170989
2021-09-11 11:16:59.218750 : Epoch  5, Batch    726, Loss  0.875552, Average Loss  0.869822, Time  0.174227
2021-09-11 11:17:00.837800 : Epoch  5, Batch    727, Loss  0.872940, Average Loss  0.869858, Time  0.170399
2021-09-11 11:17:02.422838 : Epoch  5, Batch    728, Loss  0.875703, Average Loss  0.869881, Time  0.170719
2021-09-11 11:17:04.007257 : Epoch  5, Batch    729, Loss  0.906111, Average Loss  0.869984, Time  0.170971
2021-09-11 11:17:05.608821 : Epoch  5, Batch    730, Loss  0.851996, Average Loss  0.869929, Time  0.172888
2021-09-11 11:17:07.216161 : Epoch  5, Batch    731, Loss  0.825019, Average Loss  0.869700, Time  0.170427
2021-09-11 11:17:08.825372 : Epoch  5, Batch    732, Loss  0.876711, Average Loss  0.869747, Time  0.170491
2021-09-11 11:17:10.419965 : Epoch  5, Batch    733, Loss  0.892309, Average Loss  0.869804, Time  0.170744
2021-09-11 11:17:12.021033 : Epoch  5, Batch    734, Loss  0.873051, Average Loss  0.869768, Time  0.169975
2021-09-11 11:17:13.668751 : Epoch  5, Batch    735, Loss  0.893564, Average Loss  0.869943, Time  0.172376
2021-09-11 11:17:15.298559 : Epoch  5, Batch    736, Loss  0.872701, Average Loss  0.869979, Time  0.170432
2021-09-11 11:17:16.916816 : Epoch  5, Batch    737, Loss  0.883410, Average Loss  0.870000, Time  0.174595
2021-09-11 11:17:18.528134 : Epoch  5, Batch    738, Loss  0.895654, Average Loss  0.870154, Time  0.175039
2021-09-11 11:17:20.104036 : Epoch  5, Batch    739, Loss  0.841866, Average Loss  0.870045, Time  0.171506
2021-09-11 11:17:21.698144 : Epoch  5, Batch    740, Loss  0.878612, Average Loss  0.869992, Time  0.170429
2021-09-11 11:17:23.328797 : Epoch  5, Batch    741, Loss  0.878345, Average Loss  0.870144, Time  0.170535
2021-09-11 11:17:24.954092 : Epoch  5, Batch    742, Loss  0.851607, Average Loss  0.870080, Time  0.170564
2021-09-11 11:17:26.574142 : Epoch  5, Batch    743, Loss  0.871896, Average Loss  0.870152, Time  0.172469
2021-09-11 11:17:28.197766 : Epoch  5, Batch    744, Loss  0.861294, Average Loss  0.870115, Time  0.170444
2021-09-11 11:17:29.821915 : Epoch  5, Batch    745, Loss  0.851604, Average Loss  0.870002, Time  0.170084
2021-09-11 11:17:31.450809 : Epoch  5, Batch    746, Loss  0.873204, Average Loss  0.870094, Time  0.174503
2021-09-11 11:17:33.045744 : Epoch  5, Batch    747, Loss  0.882652, Average Loss  0.870173, Time  0.176684
2021-09-11 11:17:34.662774 : Epoch  5, Batch    748, Loss  0.880207, Average Loss  0.870219, Time  0.170391
2021-09-11 11:17:36.276840 : Epoch  5, Batch    749, Loss  0.863472, Average Loss  0.870237, Time  0.173796
2021-09-11 11:17:37.857038 : Epoch  5, Batch    750, Loss  0.863226, Average Loss  0.870245, Time  0.170341
2021-09-11 11:17:39.445050 : Epoch  5, Batch    751, Loss  0.859689, Average Loss  0.870148, Time  0.179485
2021-09-11 11:17:41.053750 : Epoch  5, Batch    752, Loss  0.884800, Average Loss  0.870178, Time  0.183391
2021-09-11 11:17:42.690876 : Epoch  5, Batch    753, Loss  0.863828, Average Loss  0.869923, Time  0.175030
2021-09-11 11:17:44.311782 : Epoch  5, Batch    754, Loss  0.864011, Average Loss  0.869947, Time  0.174048
2021-09-11 11:17:45.942809 : Epoch  5, Batch    755, Loss  0.847669, Average Loss  0.869841, Time  0.177624
2021-09-11 11:17:47.569728 : Epoch  5, Batch    756, Loss  0.874313, Average Loss  0.869757, Time  0.170534
2021-09-11 11:20:38.982009 : CheckPoint: Validation Loss  0.00030670, Best Loss  0.00029019
2021-09-11 11:20:41.578077 : Epoch  4, Batch   1333, Loss  0.873534, Average Loss  0.869703, Time  0.239065
2021-09-11 11:20:44.154903 : Epoch  4, Batch   1334, Loss  0.875137, Average Loss  0.869693, Time  0.239027
2021-09-11 11:20:46.731771 : Epoch  4, Batch   1335, Loss  0.872007, Average Loss  0.869752, Time  0.237189
2021-09-11 11:20:49.336957 : Epoch  4, Batch   1336, Loss  0.870691, Average Loss  0.869738, Time  0.239208
2021-09-11 11:20:51.913393 : Epoch  4, Batch   1337, Loss  0.872688, Average Loss  0.869587, Time  0.239132
2021-09-11 11:20:54.487013 : Epoch  4, Batch   1338, Loss  0.872744, Average Loss  0.869538, Time  0.237555
2021-09-11 11:20:57.071943 : Epoch  4, Batch   1339, Loss  0.869603, Average Loss  0.869447, Time  0.240351
2021-09-11 11:20:59.650230 : Epoch  4, Batch   1340, Loss  0.857452, Average Loss  0.869369, Time  0.237696
2021-09-11 11:21:02.216617 : Epoch  4, Batch   1341, Loss  0.874904, Average Loss  0.869355, Time  0.237701
2021-09-11 11:21:04.801417 : Epoch  4, Batch   1342, Loss  0.884498, Average Loss  0.869419, Time  0.237833
2021-09-11 11:21:07.379014 : Epoch  4, Batch   1343, Loss  0.891081, Average Loss  0.869548, Time  0.239014
2021-09-11 11:21:09.959371 : Epoch  4, Batch   1344, Loss  0.857248, Average Loss  0.869476, Time  0.238029
2021-09-11 11:21:12.540418 : Epoch  4, Batch   1345, Loss  0.869777, Average Loss  0.869529, Time  0.237329
2021-09-11 11:21:15.109406 : Epoch  4, Batch   1346, Loss  0.891638, Average Loss  0.869588, Time  0.237304
2021-09-11 11:21:17.702487 : Epoch  4, Batch   1347, Loss  0.890291, Average Loss  0.869746, Time  0.239131
2021-09-11 11:21:20.284621 : Epoch  4, Batch   1348, Loss  0.862893, Average Loss  0.869682, Time  0.238817
2021-09-11 11:21:22.867965 : Epoch  4, Batch   1349, Loss  0.873137, Average Loss  0.869742, Time  0.239108
2021-09-11 11:21:25.452297 : Epoch  4, Batch   1350, Loss  0.873447, Average Loss  0.869737, Time  0.238425
2021-09-11 11:21:28.038867 : Epoch  4, Batch   1351, Loss  0.839064, Average Loss  0.869639, Time  0.239536
2021-09-11 11:21:30.630835 : Epoch  4, Batch   1352, Loss  0.849862, Average Loss  0.869547, Time  0.238870
2021-09-11 11:21:33.212730 : Epoch  4, Batch   1353, Loss  0.846776, Average Loss  0.869453, Time  0.238554
2021-09-11 11:21:35.789342 : Epoch  4, Batch   1354, Loss  0.876762, Average Loss  0.869444, Time  0.237647
2021-09-11 11:21:38.368726 : Epoch  4, Batch   1355, Loss  0.867712, Average Loss  0.869369, Time  0.237393
2021-09-11 11:21:40.982900 : Epoch  4, Batch   1356, Loss  0.835456, Average Loss  0.869228, Time  0.238787
2021-09-11 11:21:43.559808 : Epoch  4, Batch   1357, Loss  0.867616, Average Loss  0.869186, Time  0.237432
2021-09-11 11:21:46.134396 : Epoch  4, Batch   1358, Loss  0.865831, Average Loss  0.869230, Time  0.237210
2021-09-11 11:21:48.726037 : Epoch  4, Batch   1359, Loss  0.875949, Average Loss  0.869223, Time  0.239549
2021-09-11 11:21:51.314885 : Epoch  4, Batch   1360, Loss  0.893382, Average Loss  0.869268, Time  0.238301
2021-09-11 11:21:53.911346 : Epoch  4, Batch   1361, Loss  0.862082, Average Loss  0.869315, Time  0.237308
2021-09-11 11:21:56.508743 : Epoch  4, Batch   1362, Loss  0.869539, Average Loss  0.869304, Time  0.237856
2021-09-11 11:21:59.092403 : Epoch  4, Batch   1363, Loss  0.880093, Average Loss  0.869510, Time  0.237779
2021-09-11 11:22:01.670369 : Epoch  4, Batch   1364, Loss  0.871796, Average Loss  0.869414, Time  0.237502
2021-09-11 11:22:04.240249 : Epoch  4, Batch   1365, Loss  0.861903, Average Loss  0.869399, Time  0.238663
2021-09-11 11:22:06.819835 : Epoch  4, Batch   1366, Loss  0.870041, Average Loss  0.869249, Time  0.238609
2021-09-11 11:22:09.396242 : Epoch  4, Batch   1367, Loss  0.874803, Average Loss  0.869255, Time  0.237710
2021-09-11 11:22:11.977059 : Epoch  4, Batch   1368, Loss  0.853526, Average Loss  0.869244, Time  0.237783
2021-09-11 11:22:14.561076 : Epoch  4, Batch   1369, Loss  0.870362, Average Loss  0.869256, Time  0.238233
2021-09-11 11:22:17.133073 : Epoch  4, Batch   1370, Loss  0.871727, Average Loss  0.869243, Time  0.237630
2021-09-11 11:22:19.709113 : Epoch  4, Batch   1371, Loss  0.866033, Average Loss  0.869317, Time  0.238164
2021-09-11 11:22:22.286083 : Epoch  4, Batch   1372, Loss  0.862697, Average Loss  0.869311, Time  0.239133
2021-09-11 11:22:24.863997 : Epoch  4, Batch   1373, Loss  0.863002, Average Loss  0.869263, Time  0.237945
2021-09-11 11:22:27.491176 : Epoch  4, Batch   1374, Loss  0.884061, Average Loss  0.869294, Time  0.238549
2021-09-11 11:22:29.708733 : CheckPoint: Validation Loss  0.00059787, Best Loss  0.00057296
2021-09-11 11:22:30.071207 : Epoch  4, Batch   1375, Loss  0.857702, Average Loss  0.869202, Time  0.237822
2021-09-11 11:22:31.352933 : Epoch  5, Batch    757, Loss  0.860794, Average Loss  0.869619, Time  0.180508
2021-09-11 11:22:32.646685 : Epoch  4, Batch   1376, Loss  0.868863, Average Loss  0.869309, Time  0.237971
2021-09-11 11:22:32.947064 : Epoch  5, Batch    758, Loss  0.876749, Average Loss  0.869712, Time  0.172612
2021-09-11 11:22:34.535101 : Epoch  5, Batch    759, Loss  0.853743, Average Loss  0.869589, Time  0.170890
2021-09-11 11:22:35.244956 : Epoch  4, Batch   1377, Loss  0.880919, Average Loss  0.869362, Time  0.241448
2021-09-11 11:22:36.168304 : Epoch  5, Batch    760, Loss  0.873964, Average Loss  0.869506, Time  0.171784
2021-09-11 11:22:37.757312 : Epoch  5, Batch    761, Loss  0.832047, Average Loss  0.869300, Time  0.170284
2021-09-11 11:22:37.859182 : Epoch  4, Batch   1378, Loss  0.871467, Average Loss  0.869451, Time  0.238269
2021-09-11 11:22:39.372916 : Epoch  5, Batch    762, Loss  0.874638, Average Loss  0.869274, Time  0.170999
2021-09-11 11:22:40.440931 : Epoch  4, Batch   1379, Loss  0.875678, Average Loss  0.869388, Time  0.239248
2021-09-11 11:22:40.983838 : Epoch  5, Batch    763, Loss  0.848432, Average Loss  0.869055, Time  0.170349
2021-09-11 11:22:42.606747 : Epoch  5, Batch    764, Loss  0.867085, Average Loss  0.869001, Time  0.172693
2021-09-11 11:22:43.021152 : Epoch  4, Batch   1380, Loss  0.885647, Average Loss  0.869483, Time  0.239359
2021-09-11 11:22:44.211137 : Epoch  5, Batch    765, Loss  0.854828, Average Loss  0.868938, Time  0.171512
2021-09-11 11:22:45.625186 : Epoch  4, Batch   1381, Loss  0.857346, Average Loss  0.869358, Time  0.237741
2021-09-11 11:22:45.835042 : Epoch  5, Batch    766, Loss  0.857626, Average Loss  0.868819, Time  0.174611
2021-09-11 11:22:47.448011 : Epoch  5, Batch    767, Loss  0.841577, Average Loss  0.868756, Time  0.170293
2021-09-11 11:22:48.194692 : Epoch  4, Batch   1382, Loss  0.868456, Average Loss  0.869316, Time  0.237170
2021-09-11 11:22:49.058806 : Epoch  5, Batch    768, Loss  0.874142, Average Loss  0.868821, Time  0.170274
2021-09-11 11:22:50.739127 : Epoch  5, Batch    769, Loss  0.868442, Average Loss  0.868766, Time  0.172265
2021-09-11 11:22:50.778065 : Epoch  4, Batch   1383, Loss  0.858387, Average Loss  0.869267, Time  0.237570
2021-09-11 11:22:52.337817 : Epoch  5, Batch    770, Loss  0.871749, Average Loss  0.868781, Time  0.171077
2021-09-11 11:22:53.355834 : Epoch  4, Batch   1384, Loss  0.840175, Average Loss  0.869142, Time  0.237224
2021-09-11 11:22:53.958023 : Epoch  5, Batch    771, Loss  0.881344, Average Loss  0.868836, Time  0.170392
2021-09-11 11:22:55.557854 : Epoch  5, Batch    772, Loss  0.888909, Average Loss  0.868926, Time  0.173477
2021-09-11 11:22:55.942429 : Epoch  4, Batch   1385, Loss  0.873249, Average Loss  0.869127, Time  0.238925
2021-09-11 11:22:57.159753 : Epoch  5, Batch    773, Loss  0.857140, Average Loss  0.868861, Time  0.178535
2021-09-11 11:22:58.522064 : Epoch  4, Batch   1386, Loss  0.880304, Average Loss  0.869185, Time  0.239578
2021-09-11 11:22:58.752005 : Epoch  5, Batch    774, Loss  0.868918, Average Loss  0.868831, Time  0.175278
2021-09-11 11:23:00.352335 : Epoch  5, Batch    775, Loss  0.877256, Average Loss  0.868826, Time  0.170678
2021-09-11 11:23:01.096133 : Epoch  4, Batch   1387, Loss  0.862776, Average Loss  0.869170, Time  0.238129
2021-09-11 11:23:01.987799 : Epoch  5, Batch    776, Loss  0.886753, Average Loss  0.868852, Time  0.178964
2021-09-11 11:23:03.588760 : Epoch  5, Batch    777, Loss  0.879560, Average Loss  0.869026, Time  0.171240
2021-09-11 11:23:03.663416 : Epoch  4, Batch   1388, Loss  0.858287, Average Loss  0.869108, Time  0.238238
2021-09-11 11:23:05.187097 : Epoch  5, Batch    778, Loss  0.854304, Average Loss  0.868980, Time  0.174271
2021-09-11 11:23:06.238146 : Epoch  4, Batch   1389, Loss  0.885380, Average Loss  0.869230, Time  0.237605
2021-09-11 11:23:06.765800 : Epoch  5, Batch    779, Loss  0.877736, Average Loss  0.869153, Time  0.176917
2021-09-11 11:23:08.345025 : Epoch  5, Batch    780, Loss  0.870271, Average Loss  0.869112, Time  0.171508
2021-09-11 11:23:08.812049 : Epoch  4, Batch   1390, Loss  0.876961, Average Loss  0.869335, Time  0.238662
2021-09-11 11:23:09.927776 : Epoch  5, Batch    781, Loss  0.817369, Average Loss  0.868936, Time  0.174253
2021-09-11 11:23:11.378088 : Epoch  4, Batch   1391, Loss  0.869253, Average Loss  0.869303, Time  0.238084
2021-09-11 11:23:11.548747 : Epoch  5, Batch    782, Loss  0.836811, Average Loss  0.868781, Time  0.174418
2021-09-11 11:23:13.151829 : Epoch  5, Batch    783, Loss  0.867321, Average Loss  0.868887, Time  0.171927
2021-09-11 11:23:13.944478 : Epoch  4, Batch   1392, Loss  0.884991, Average Loss  0.869439, Time  0.237773
2021-09-11 11:23:14.774062 : Epoch  5, Batch    784, Loss  0.889457, Average Loss  0.868976, Time  0.181739
2021-09-11 11:23:16.448772 : Epoch  5, Batch    785, Loss  0.856957, Average Loss  0.868884, Time  0.170080
2021-09-11 11:23:16.527340 : Epoch  4, Batch   1393, Loss  0.884990, Average Loss  0.869558, Time  0.238338
2021-09-11 11:23:18.081984 : Epoch  5, Batch    786, Loss  0.846708, Average Loss  0.868769, Time  0.172418
2021-09-11 11:23:19.102560 : Epoch  4, Batch   1394, Loss  0.873304, Average Loss  0.869606, Time  0.237020
2021-09-11 11:23:19.670864 : Epoch  5, Batch    787, Loss  0.877643, Average Loss  0.868881, Time  0.175868
2021-09-11 11:23:21.245793 : Epoch  5, Batch    788, Loss  0.851882, Average Loss  0.868851, Time  0.170286
2021-09-11 11:23:21.684034 : Epoch  4, Batch   1395, Loss  0.874177, Average Loss  0.869669, Time  0.237629
2021-09-11 11:23:22.850738 : Epoch  5, Batch    789, Loss  0.882917, Average Loss  0.868904, Time  0.172743
2021-09-11 11:23:24.261997 : Epoch  4, Batch   1396, Loss  0.863338, Average Loss  0.869639, Time  0.238683
2021-09-11 11:23:24.446042 : Epoch  5, Batch    790, Loss  0.874253, Average Loss  0.869024, Time  0.170456
2021-09-11 11:23:26.059910 : Epoch  5, Batch    791, Loss  0.852507, Average Loss  0.868972, Time  0.170181
2021-09-11 11:23:26.837682 : Epoch  4, Batch   1397, Loss  0.871294, Average Loss  0.869756, Time  0.237917
2021-09-11 11:23:27.660039 : Epoch  5, Batch    792, Loss  0.836434, Average Loss  0.868960, Time  0.170363
2021-09-11 11:23:29.247280 : Epoch  5, Batch    793, Loss  0.880529, Average Loss  0.869037, Time  0.171920
2021-09-11 11:23:29.420145 : Epoch  4, Batch   1398, Loss  0.846235, Average Loss  0.869755, Time  0.237883
2021-09-11 11:23:30.889747 : Epoch  5, Batch    794, Loss  0.879376, Average Loss  0.869057, Time  0.173301
2021-09-11 11:23:31.990046 : Epoch  4, Batch   1399, Loss  0.873898, Average Loss  0.869750, Time  0.239136
2021-09-11 11:23:32.470041 : Epoch  5, Batch    795, Loss  0.867384, Average Loss  0.868919, Time  0.170062
2021-09-11 11:23:34.045811 : Epoch  5, Batch    796, Loss  0.842649, Average Loss  0.868773, Time  0.170287
2021-09-11 11:23:34.569417 : Epoch  4, Batch   1400, Loss  0.877561, Average Loss  0.869815, Time  0.237587
2021-09-11 11:23:35.653750 : Epoch  5, Batch    797, Loss  0.919945, Average Loss  0.869009, Time  0.170504
2021-09-11 11:23:37.142844 : Epoch  4, Batch   1401, Loss  0.865729, Average Loss  0.869765, Time  0.237900
2021-09-11 11:23:37.266007 : Epoch  5, Batch    798, Loss  0.872324, Average Loss  0.868994, Time  0.169793
2021-09-11 11:23:38.881886 : Epoch  5, Batch    799, Loss  0.860944, Average Loss  0.868896, Time  0.172094
2021-09-11 11:23:39.710686 : Epoch  4, Batch   1402, Loss  0.852847, Average Loss  0.869736, Time  0.237723
2021-09-11 11:23:40.493906 : Epoch  5, Batch    800, Loss  0.891964, Average Loss  0.869094, Time  0.170763
2021-09-11 11:23:42.096748 : Epoch  5, Batch    801, Loss  0.882297, Average Loss  0.869045, Time  0.170223
2021-09-11 11:23:42.289618 : Epoch  4, Batch   1403, Loss  0.890243, Average Loss  0.869741, Time  0.237671
2021-09-11 11:23:43.728834 : Epoch  5, Batch    802, Loss  0.839754, Average Loss  0.868776, Time  0.170251
2021-09-11 11:23:44.860882 : Epoch  4, Batch   1404, Loss  0.869858, Average Loss  0.869689, Time  0.238695
2021-09-11 11:23:45.346780 : Epoch  5, Batch    803, Loss  0.857792, Average Loss  0.868678, Time  0.170029
2021-09-11 11:23:46.961897 : Epoch  5, Batch    804, Loss  0.855938, Average Loss  0.868658, Time  0.170003
2021-09-11 11:23:47.455075 : Epoch  4, Batch   1405, Loss  0.873536, Average Loss  0.869695, Time  0.238432
2021-09-11 11:23:48.596985 : Epoch  5, Batch    805, Loss  0.896615, Average Loss  0.868823, Time  0.170003
2021-09-11 11:23:50.032474 : Epoch  4, Batch   1406, Loss  0.881433, Average Loss  0.869739, Time  0.237258
2021-09-11 11:23:50.227849 : Epoch  5, Batch    806, Loss  0.882366, Average Loss  0.868899, Time  0.170056
2021-09-11 11:23:51.873998 : Epoch  5, Batch    807, Loss  0.906728, Average Loss  0.869115, Time  0.172114
2021-09-11 11:23:52.603053 : Epoch  4, Batch   1407, Loss  0.874412, Average Loss  0.869808, Time  0.237700
2021-09-11 11:23:53.479047 : Epoch  5, Batch    808, Loss  0.903508, Average Loss  0.869135, Time  0.169870
2021-09-11 11:23:55.068892 : Epoch  5, Batch    809, Loss  0.882882, Average Loss  0.869241, Time  0.169702
2021-09-11 11:23:55.186782 : Epoch  4, Batch   1408, Loss  0.879386, Average Loss  0.869816, Time  0.237355
2021-09-11 11:23:56.668998 : Epoch  5, Batch    810, Loss  0.874489, Average Loss  0.869225, Time  0.169828
2021-09-11 11:23:57.767781 : Epoch  4, Batch   1409, Loss  0.847160, Average Loss  0.869701, Time  0.237154
2021-09-11 11:23:58.280876 : Epoch  5, Batch    811, Loss  0.856276, Average Loss  0.869021, Time  0.170108
2021-09-11 11:23:59.885793 : Epoch  5, Batch    812, Loss  0.836071, Average Loss  0.868838, Time  0.169964
2021-09-11 11:24:00.345183 : Epoch  4, Batch   1410, Loss  0.863342, Average Loss  0.869675, Time  0.237313
2021-09-11 11:24:01.499007 : Epoch  5, Batch    813, Loss  0.837111, Average Loss  0.868827, Time  0.169857
2021-09-11 11:24:02.917060 : Epoch  4, Batch   1411, Loss  0.849057, Average Loss  0.869573, Time  0.236959
2021-09-11 11:24:03.117002 : Epoch  5, Batch    814, Loss  0.861002, Average Loss  0.868634, Time  0.169560
2021-09-11 11:24:04.716993 : Epoch  5, Batch    815, Loss  0.862942, Average Loss  0.868467, Time  0.169897
2021-09-11 11:24:05.490500 : Epoch  4, Batch   1412, Loss  0.867842, Average Loss  0.869627, Time  0.237179
2021-09-11 11:24:06.320790 : Epoch  5, Batch    816, Loss  0.885530, Average Loss  0.868403, Time  0.170233
2021-09-11 11:24:07.927007 : Epoch  5, Batch    817, Loss  0.850678, Average Loss  0.868416, Time  0.170083
2021-09-11 11:24:08.094807 : Epoch  4, Batch   1413, Loss  0.858005, Average Loss  0.869566, Time  0.238106
2021-09-11 11:24:09.536860 : Epoch  5, Batch    818, Loss  0.879429, Average Loss  0.868410, Time  0.169988
2021-09-11 11:24:10.685873 : Epoch  4, Batch   1414, Loss  0.866259, Average Loss  0.869640, Time  0.237697
2021-09-11 11:24:11.148005 : Epoch  5, Batch    819, Loss  0.873426, Average Loss  0.868347, Time  0.169676
2021-09-11 11:24:12.754004 : Epoch  5, Batch    820, Loss  0.903632, Average Loss  0.868584, Time  0.172081
2021-09-11 11:24:13.261796 : Epoch  4, Batch   1415, Loss  0.877632, Average Loss  0.869650, Time  0.236983
2021-09-11 11:24:14.365879 : Epoch  5, Batch    821, Loss  0.884338, Average Loss  0.868756, Time  0.172298
2021-09-11 11:24:15.831384 : Epoch  4, Batch   1416, Loss  0.869003, Average Loss  0.869688, Time  0.237047
2021-09-11 11:24:15.977745 : Epoch  5, Batch    822, Loss  0.893286, Average Loss  0.868661, Time  0.170535
2021-09-11 11:24:17.584459 : Epoch  5, Batch    823, Loss  0.888926, Average Loss  0.868544, Time  0.169722
2021-09-11 11:24:18.410391 : Epoch  4, Batch   1417, Loss  0.882533, Average Loss  0.869800, Time  0.237085
2021-09-11 11:24:19.173747 : Epoch  5, Batch    824, Loss  0.888961, Average Loss  0.868675, Time  0.177005
2021-09-11 11:24:20.754859 : Epoch  5, Batch    825, Loss  0.901166, Average Loss  0.868921, Time  0.179424
2021-09-11 11:24:20.983314 : Epoch  4, Batch   1418, Loss  0.851575, Average Loss  0.869673, Time  0.238599
2021-09-11 11:24:22.337827 : Epoch  5, Batch    826, Loss  0.876274, Average Loss  0.869036, Time  0.171013
2021-09-11 11:24:23.548971 : Epoch  4, Batch   1419, Loss  0.865541, Average Loss  0.869768, Time  0.237189
2021-09-11 11:24:23.934994 : Epoch  5, Batch    827, Loss  0.856403, Average Loss  0.869073, Time  0.172449
2021-09-11 11:24:25.564839 : Epoch  5, Batch    828, Loss  0.853826, Average Loss  0.868959, Time  0.170095
2021-09-11 11:24:26.145362 : Epoch  4, Batch   1420, Loss  0.879541, Average Loss  0.869785, Time  0.237321
2021-09-11 11:24:27.196010 : Epoch  5, Batch    829, Loss  0.831751, Average Loss  0.868846, Time  0.172387
2021-09-11 11:24:28.722800 : Epoch  4, Batch   1421, Loss  0.888395, Average Loss  0.869856, Time  0.237829
2021-09-11 11:24:28.815801 : Epoch  5, Batch    830, Loss  0.844684, Average Loss  0.868757, Time  0.169973
2021-09-11 11:24:30.444790 : Epoch  5, Batch    831, Loss  0.874953, Average Loss  0.868727, Time  0.172220
2021-09-11 11:24:31.296373 : Epoch  4, Batch   1422, Loss  0.851790, Average Loss  0.869697, Time  0.237174
2021-09-11 11:24:32.114845 : Epoch  5, Batch    832, Loss  0.854935, Average Loss  0.868522, Time  0.172152
2021-09-11 11:24:33.733780 : Epoch  5, Batch    833, Loss  0.871091, Average Loss  0.868468, Time  0.170316
2021-09-11 11:24:33.881921 : Epoch  4, Batch   1423, Loss  0.850749, Average Loss  0.869626, Time  0.237943
2021-09-11 11:24:35.337879 : Epoch  5, Batch    834, Loss  0.888604, Average Loss  0.868489, Time  0.175097
2021-09-11 11:24:36.465391 : Epoch  4, Batch   1424, Loss  0.852979, Average Loss  0.869505, Time  0.238454
2021-09-11 11:24:36.899745 : Epoch  5, Batch    835, Loss  0.872925, Average Loss  0.868585, Time  0.170206
2021-09-11 11:24:38.479760 : Epoch  5, Batch    836, Loss  0.837516, Average Loss  0.868389, Time  0.170632
2021-09-11 11:24:39.049096 : Epoch  4, Batch   1425, Loss  0.857771, Average Loss  0.869339, Time  0.238521
2021-09-11 11:24:40.101776 : Epoch  5, Batch    837, Loss  0.890669, Average Loss  0.868495, Time  0.173621
2021-09-11 11:24:41.624253 : Epoch  4, Batch   1426, Loss  0.879712, Average Loss  0.869243, Time  0.238299
2021-09-11 11:24:41.733765 : Epoch  5, Batch    838, Loss  0.887807, Average Loss  0.868532, Time  0.171824
2021-09-11 11:24:43.332830 : Epoch  5, Batch    839, Loss  0.856955, Average Loss  0.868509, Time  0.171275
2021-09-11 11:24:44.199214 : Epoch  4, Batch   1427, Loss  0.836521, Average Loss  0.869062, Time  0.238084
2021-09-11 11:24:44.926799 : Epoch  5, Batch    840, Loss  0.899712, Average Loss  0.868715, Time  0.170268
2021-09-11 11:24:46.508744 : Epoch  5, Batch    841, Loss  0.883809, Average Loss  0.868849, Time  0.169869
2021-09-11 11:24:46.773309 : Epoch  4, Batch   1428, Loss  0.870816, Average Loss  0.869043, Time  0.236546
2021-09-11 11:24:48.131749 : Epoch  5, Batch    842, Loss  0.881801, Average Loss  0.868863, Time  0.169822
2021-09-11 11:24:49.337745 : Epoch  4, Batch   1429, Loss  0.888187, Average Loss  0.869047, Time  0.237218
2021-09-11 11:24:49.735421 : Epoch  5, Batch    843, Loss  0.856892, Average Loss  0.868764, Time  0.170022
2021-09-11 11:24:51.325751 : Epoch  5, Batch    844, Loss  0.895546, Average Loss  0.868985, Time  0.171613
2021-09-11 11:24:51.903640 : Epoch  4, Batch   1430, Loss  0.863352, Average Loss  0.869024, Time  0.237164
2021-09-11 11:24:52.937834 : Epoch  5, Batch    845, Loss  0.861691, Average Loss  0.868824, Time  0.171684
2021-09-11 11:24:54.480066 : Epoch  4, Batch   1431, Loss  0.858308, Average Loss  0.868886, Time  0.237870
2021-09-11 11:24:54.585794 : Epoch  5, Batch    846, Loss  0.853598, Average Loss  0.868808, Time  0.177020
2021-09-11 11:24:56.207729 : Epoch  5, Batch    847, Loss  0.868683, Average Loss  0.868897, Time  0.173237
2021-09-11 11:24:57.844786 : Epoch  5, Batch    848, Loss  0.863318, Average Loss  0.868845, Time  0.186324
2021-09-11 11:24:59.455926 : Epoch  5, Batch    849, Loss  0.866727, Average Loss  0.868821, Time  0.170055
2021-09-11 11:25:01.062775 : Epoch  5, Batch    850, Loss  0.901898, Average Loss  0.869069, Time  0.170326
2021-09-11 11:25:02.674730 : Epoch  5, Batch    851, Loss  0.873052, Average Loss  0.869082, Time  0.176754
2021-09-11 11:25:04.264790 : Epoch  5, Batch    852, Loss  0.868015, Average Loss  0.869105, Time  0.171802
2021-09-11 11:25:05.857938 : Epoch  5, Batch    853, Loss  0.886045, Average Loss  0.869167, Time  0.170920
2021-09-11 11:25:07.500001 : Epoch  5, Batch    854, Loss  0.863389, Average Loss  0.869104, Time  0.169920
2021-09-11 11:25:09.129831 : Epoch  5, Batch    855, Loss  0.874867, Average Loss  0.869217, Time  0.172280
2021-09-11 11:25:10.741897 : Epoch  5, Batch    856, Loss  0.876027, Average Loss  0.869199, Time  0.169793
2021-09-11 11:29:06.185268 : CheckPoint: Validation Loss  0.00030546, Best Loss  0.00029019
2021-09-11 11:29:08.790198 : Epoch  4, Batch   1433, Loss  0.874706, Average Loss  0.868993, Time  0.264817
2021-09-11 11:29:11.380084 : Epoch  4, Batch   1434, Loss  0.878081, Average Loss  0.869087, Time  0.240759
2021-09-11 11:29:13.957963 : Epoch  4, Batch   1435, Loss  0.863284, Average Loss  0.868984, Time  0.237042
2021-09-11 11:29:16.530347 : Epoch  4, Batch   1436, Loss  0.877222, Average Loss  0.869153, Time  0.237471
2021-09-11 11:29:19.117999 : Epoch  4, Batch   1437, Loss  0.872029, Average Loss  0.869081, Time  0.239390
2021-09-11 11:29:21.705927 : Epoch  4, Batch   1438, Loss  0.869459, Average Loss  0.869092, Time  0.237671
2021-09-11 11:29:24.280411 : Epoch  4, Batch   1439, Loss  0.885221, Average Loss  0.869267, Time  0.237861
2021-09-11 11:29:26.855000 : Epoch  4, Batch   1440, Loss  0.896019, Average Loss  0.869351, Time  0.237903
2021-09-11 11:29:29.423174 : Epoch  4, Batch   1441, Loss  0.882434, Average Loss  0.869505, Time  0.238066
2021-09-11 11:29:31.994560 : Epoch  4, Batch   1442, Loss  0.884870, Average Loss  0.869515, Time  0.237164
2021-09-11 11:29:34.578077 : Epoch  4, Batch   1443, Loss  0.911644, Average Loss  0.869754, Time  0.238182
2021-09-11 11:29:37.155178 : Epoch  4, Batch   1444, Loss  0.842954, Average Loss  0.869703, Time  0.237419
2021-09-11 11:29:39.723154 : Epoch  4, Batch   1445, Loss  0.862157, Average Loss  0.869639, Time  0.238665
2021-09-11 11:29:42.304358 : Epoch  4, Batch   1446, Loss  0.853013, Average Loss  0.869601, Time  0.237117
2021-09-11 11:29:44.873878 : Epoch  4, Batch   1447, Loss  0.870049, Average Loss  0.869573, Time  0.237673
2021-09-11 11:29:47.454198 : Epoch  4, Batch   1448, Loss  0.881735, Average Loss  0.869608, Time  0.237315
2021-09-11 11:29:50.024795 : Epoch  4, Batch   1449, Loss  0.869756, Average Loss  0.869492, Time  0.237295
2021-09-11 11:29:51.630720 : CheckPoint: Validation Loss  0.00058202, Best Loss  0.00057296
2021-09-11 11:29:52.599391 : Epoch  4, Batch   1450, Loss  0.877374, Average Loss  0.869476, Time  0.237113
2021-09-11 11:29:53.254016 : Epoch  5, Batch    857, Loss  0.868778, Average Loss  0.869342, Time  0.177761
2021-09-11 11:29:54.867738 : Epoch  5, Batch    858, Loss  0.864344, Average Loss  0.869215, Time  0.170226
2021-09-11 11:29:55.180383 : Epoch  4, Batch   1451, Loss  0.865376, Average Loss  0.869423, Time  0.237289
2021-09-11 11:29:56.488793 : Epoch  5, Batch    859, Loss  0.856867, Average Loss  0.869078, Time  0.170004
2021-09-11 11:29:57.752996 : Epoch  4, Batch   1452, Loss  0.877232, Average Loss  0.869480, Time  0.237431
2021-09-11 11:29:58.083026 : Epoch  5, Batch    860, Loss  0.874764, Average Loss  0.869252, Time  0.170741
2021-09-11 11:29:59.667021 : Epoch  5, Batch    861, Loss  0.885190, Average Loss  0.869301, Time  0.171354
2021-09-11 11:30:00.324281 : Epoch  4, Batch   1453, Loss  0.843305, Average Loss  0.869395, Time  0.237381
2021-09-11 11:30:01.265039 : Epoch  5, Batch    862, Loss  0.876516, Average Loss  0.869411, Time  0.170853
2021-09-11 11:30:02.849809 : Epoch  5, Batch    863, Loss  0.859892, Average Loss  0.869404, Time  0.170100
2021-09-11 11:30:02.961261 : Epoch  4, Batch   1454, Loss  0.856338, Average Loss  0.869317, Time  0.238174
2021-09-11 11:30:04.442000 : Epoch  5, Batch    864, Loss  0.862416, Average Loss  0.869349, Time  0.177109
2021-09-11 11:30:05.534853 : Epoch  4, Batch   1455, Loss  0.863961, Average Loss  0.869268, Time  0.239748
2021-09-11 11:30:06.053860 : Epoch  5, Batch    865, Loss  0.913095, Average Loss  0.869611, Time  0.172670
2021-09-11 11:30:07.643078 : Epoch  5, Batch    866, Loss  0.881117, Average Loss  0.869647, Time  0.170584
2021-09-11 11:30:08.142186 : Epoch  4, Batch   1456, Loss  0.890611, Average Loss  0.869333, Time  0.249679
2021-09-11 11:30:09.263852 : Epoch  5, Batch    867, Loss  0.866877, Average Loss  0.869594, Time  0.170456
2021-09-11 11:30:10.706262 : Epoch  4, Batch   1457, Loss  0.867045, Average Loss  0.869338, Time  0.237856
2021-09-11 11:30:10.880789 : Epoch  5, Batch    868, Loss  0.881406, Average Loss  0.869724, Time  0.176874
2021-09-11 11:30:12.478775 : Epoch  5, Batch    869, Loss  0.876422, Average Loss  0.869631, Time  0.173694
2021-09-11 11:30:13.283424 : Epoch  4, Batch   1458, Loss  0.885727, Average Loss  0.869359, Time  0.237680
2021-09-11 11:30:14.137890 : Epoch  5, Batch    870, Loss  0.867431, Average Loss  0.869794, Time  0.170813
2021-09-11 11:30:15.734036 : Epoch  5, Batch    871, Loss  0.841423, Average Loss  0.869674, Time  0.172557
2021-09-11 11:30:15.856199 : Epoch  4, Batch   1459, Loss  0.869016, Average Loss  0.869281, Time  0.238846
2021-09-11 11:30:17.331049 : Epoch  5, Batch    872, Loss  0.875502, Average Loss  0.869641, Time  0.170804
2021-09-11 11:30:18.430246 : Epoch  4, Batch   1460, Loss  0.866471, Average Loss  0.869254, Time  0.237841
2021-09-11 11:30:18.905885 : Epoch  5, Batch    873, Loss  0.869222, Average Loss  0.869697, Time  0.170524
2021-09-11 11:30:20.478825 : Epoch  5, Batch    874, Loss  0.899748, Average Loss  0.869657, Time  0.171997
2021-09-11 11:30:21.006816 : Epoch  4, Batch   1461, Loss  0.854221, Average Loss  0.869192, Time  0.238406
2021-09-11 11:30:22.051230 : Epoch  5, Batch    875, Loss  0.880800, Average Loss  0.869812, Time  0.170826
2021-09-11 11:30:23.584375 : Epoch  4, Batch   1462, Loss  0.859001, Average Loss  0.869126, Time  0.237177
2021-09-11 11:30:23.620325 : Epoch  5, Batch    876, Loss  0.882576, Average Loss  0.869940, Time  0.170511
2021-09-11 11:30:25.247878 : Epoch  5, Batch    877, Loss  0.852746, Average Loss  0.870127, Time  0.176772
2021-09-11 11:30:26.170422 : Epoch  4, Batch   1463, Loss  0.877398, Average Loss  0.869118, Time  0.237614
2021-09-11 11:30:26.845800 : Epoch  5, Batch    878, Loss  0.859254, Average Loss  0.870072, Time  0.172360
2021-09-11 11:30:28.461777 : Epoch  5, Batch    879, Loss  0.849054, Average Loss  0.870021, Time  0.175132
2021-09-11 11:30:28.741373 : Epoch  4, Batch   1464, Loss  0.862962, Average Loss  0.869126, Time  0.240115
2021-09-11 11:30:30.062928 : Epoch  5, Batch    880, Loss  0.851757, Average Loss  0.869997, Time  0.178505
2021-09-11 11:30:31.306094 : Epoch  4, Batch   1465, Loss  0.868989, Average Loss  0.869175, Time  0.237547
2021-09-11 11:30:31.654890 : Epoch  5, Batch    881, Loss  0.896508, Average Loss  0.870105, Time  0.175227
2021-09-11 11:30:33.260160 : Epoch  5, Batch    882, Loss  0.890056, Average Loss  0.870312, Time  0.170515
2021-09-11 11:30:33.881052 : Epoch  4, Batch   1466, Loss  0.866970, Average Loss  0.869242, Time  0.237712
2021-09-11 11:30:34.868856 : Epoch  5, Batch    883, Loss  0.865141, Average Loss  0.870226, Time  0.170760
2021-09-11 11:30:36.454781 : Epoch  4, Batch   1467, Loss  0.878080, Average Loss  0.869350, Time  0.237792
2021-09-11 11:30:36.492170 : Epoch  5, Batch    884, Loss  0.858416, Average Loss  0.870252, Time  0.170373
2021-09-11 11:30:38.092761 : Epoch  5, Batch    885, Loss  0.860990, Average Loss  0.870276, Time  0.170764
2021-09-11 11:30:39.034806 : Epoch  4, Batch   1468, Loss  0.877036, Average Loss  0.869316, Time  0.238289
2021-09-11 11:30:39.717825 : Epoch  5, Batch    886, Loss  0.859389, Average Loss  0.870180, Time  0.172124
2021-09-11 11:30:41.349666 : Epoch  5, Batch    887, Loss  0.833652, Average Loss  0.870055, Time  0.173709
2021-09-11 11:30:41.626390 : Epoch  4, Batch   1469, Loss  0.863909, Average Loss  0.869345, Time  0.237964
2021-09-11 11:30:42.962232 : Epoch  5, Batch    888, Loss  0.899892, Average Loss  0.870104, Time  0.170361
2021-09-11 11:30:44.196844 : Epoch  4, Batch   1470, Loss  0.859345, Average Loss  0.869255, Time  0.237852
2021-09-11 11:30:44.578949 : Epoch  5, Batch    889, Loss  0.876809, Average Loss  0.870148, Time  0.171846
2021-09-11 11:30:46.191813 : Epoch  5, Batch    890, Loss  0.898039, Average Loss  0.870335, Time  0.170924
2021-09-11 11:30:46.766160 : Epoch  4, Batch   1471, Loss  0.862081, Average Loss  0.869277, Time  0.237409
2021-09-11 11:30:47.802755 : Epoch  5, Batch    891, Loss  0.863022, Average Loss  0.870261, Time  0.172153
2021-09-11 11:30:49.339126 : Epoch  4, Batch   1472, Loss  0.859676, Average Loss  0.869221, Time  0.237808
2021-09-11 11:30:49.374395 : Epoch  5, Batch    892, Loss  0.855358, Average Loss  0.870268, Time  0.171513
2021-09-11 11:30:51.122326 : Epoch  5, Batch    893, Loss  0.876309, Average Loss  0.870266, Time  0.185036
2021-09-11 11:30:51.917095 : Epoch  4, Batch   1473, Loss  0.859079, Average Loss  0.869160, Time  0.237566
2021-09-11 11:30:52.760056 : Epoch  5, Batch    894, Loss  0.861816, Average Loss  0.870258, Time  0.172226
2021-09-11 11:30:54.396399 : Epoch  5, Batch    895, Loss  0.856939, Average Loss  0.870315, Time  0.177346
2021-09-11 11:30:54.494912 : Epoch  4, Batch   1474, Loss  0.849616, Average Loss  0.868956, Time  0.237401
2021-09-11 11:30:56.018946 : Epoch  5, Batch    896, Loss  0.877300, Average Loss  0.870256, Time  0.175841
2021-09-11 11:30:57.060273 : Epoch  4, Batch   1475, Loss  0.877095, Average Loss  0.869006, Time  0.238652
2021-09-11 11:30:57.624900 : Epoch  5, Batch    897, Loss  0.864615, Average Loss  0.870124, Time  0.172695
2021-09-11 11:30:59.207951 : Epoch  5, Batch    898, Loss  0.878474, Average Loss  0.870188, Time  0.170391
2021-09-11 11:30:59.636899 : Epoch  4, Batch   1476, Loss  0.845084, Average Loss  0.868861, Time  0.237803
2021-09-11 11:31:00.807839 : Epoch  5, Batch    899, Loss  0.885280, Average Loss  0.870295, Time  0.170696
2021-09-11 11:31:02.230894 : Epoch  4, Batch   1477, Loss  0.864987, Average Loss  0.868804, Time  0.237249
2021-09-11 11:31:02.382854 : Epoch  5, Batch    900, Loss  0.872153, Average Loss  0.870403, Time  0.172444
2021-09-11 11:31:03.966890 : Epoch  5, Batch    901, Loss  0.883436, Average Loss  0.870494, Time  0.173195
2021-09-11 11:31:04.807965 : Epoch  4, Batch   1478, Loss  0.873766, Average Loss  0.868895, Time  0.237248
2021-09-11 11:31:05.563764 : Epoch  5, Batch    902, Loss  0.884200, Average Loss  0.870412, Time  0.175622
2021-09-11 11:31:07.182834 : Epoch  5, Batch    903, Loss  0.871193, Average Loss  0.870416, Time  0.170744
2021-09-11 11:31:07.383010 : Epoch  4, Batch   1479, Loss  0.848844, Average Loss  0.868811, Time  0.237637
2021-09-11 11:31:08.807244 : Epoch  5, Batch    904, Loss  0.868074, Average Loss  0.870332, Time  0.174297
2021-09-11 11:31:09.945835 : Epoch  4, Batch   1480, Loss  0.901730, Average Loss  0.869136, Time  0.237605
2021-09-11 11:31:10.424760 : Epoch  5, Batch    905, Loss  0.876103, Average Loss  0.870426, Time  0.171438
2021-09-11 11:31:12.040459 : Epoch  5, Batch    906, Loss  0.836929, Average Loss  0.870225, Time  0.172982
2021-09-11 11:31:12.522118 : Epoch  4, Batch   1481, Loss  0.866352, Average Loss  0.869218, Time  0.237015
2021-09-11 11:31:13.616033 : Epoch  5, Batch    907, Loss  0.862518, Average Loss  0.870064, Time  0.170790
2021-09-11 11:31:15.097894 : Epoch  4, Batch   1482, Loss  0.877275, Average Loss  0.869314, Time  0.237628
2021-09-11 11:31:15.204837 : Epoch  5, Batch    908, Loss  0.864530, Average Loss  0.870066, Time  0.174070
2021-09-11 11:31:16.799760 : Epoch  5, Batch    909, Loss  0.877169, Average Loss  0.870064, Time  0.170356
2021-09-11 11:31:17.684371 : Epoch  4, Batch   1483, Loss  0.863396, Average Loss  0.869192, Time  0.245509
2021-09-11 11:31:18.408751 : Epoch  5, Batch    910, Loss  0.898552, Average Loss  0.870232, Time  0.170592
2021-09-11 11:31:20.014734 : Epoch  5, Batch    911, Loss  0.901232, Average Loss  0.870246, Time  0.173270
2021-09-11 11:31:20.263476 : Epoch  4, Batch   1484, Loss  0.879571, Average Loss  0.869343, Time  0.237712
2021-09-11 11:31:21.597843 : Epoch  5, Batch    912, Loss  0.880252, Average Loss  0.870247, Time  0.171807
2021-09-11 11:31:22.845044 : Epoch  4, Batch   1485, Loss  0.858668, Average Loss  0.869328, Time  0.238547
2021-09-11 11:31:23.173878 : Epoch  5, Batch    913, Loss  0.859890, Average Loss  0.870160, Time  0.170791
2021-09-11 11:31:24.745818 : Epoch  5, Batch    914, Loss  0.885958, Average Loss  0.870252, Time  0.171840
2021-09-11 11:31:25.420031 : Epoch  4, Batch   1486, Loss  0.894207, Average Loss  0.869471, Time  0.237449
2021-09-11 11:31:26.361749 : Epoch  5, Batch    915, Loss  0.859540, Average Loss  0.870300, Time  0.170966
2021-09-11 11:31:27.993359 : Epoch  5, Batch    916, Loss  0.861664, Average Loss  0.870103, Time  0.178294
2021-09-11 11:31:29.638798 : Epoch  5, Batch    917, Loss  0.889389, Average Loss  0.870192, Time  0.172528
2021-09-11 11:31:30.565896 : Epoch  4, Batch   1488, Loss  0.908728, Average Loss  0.869680, Time  0.238018
2021-09-11 11:31:31.252822 : Epoch  5, Batch    918, Loss  0.851395, Average Loss  0.870086, Time  0.170649
2021-09-11 11:31:32.882242 : Epoch  5, Batch    919, Loss  0.882515, Average Loss  0.870270, Time  0.175858
2021-09-11 11:31:33.142184 : Epoch  4, Batch   1489, Loss  0.857124, Average Loss  0.869633, Time  0.238577
2021-09-11 11:31:34.484763 : Epoch  5, Batch    920, Loss  0.901972, Average Loss  0.870419, Time  0.170645
2021-09-11 11:31:35.710773 : Epoch  4, Batch   1490, Loss  0.891081, Average Loss  0.869760, Time  0.237837
2021-09-11 11:31:36.120920 : Epoch  5, Batch    921, Loss  0.878585, Average Loss  0.870619, Time  0.175008
2021-09-11 11:31:37.701052 : Epoch  5, Batch    922, Loss  0.865171, Average Loss  0.870609, Time  0.172080
2021-09-11 11:31:38.295344 : Epoch  4, Batch   1491, Loss  0.884138, Average Loss  0.869845, Time  0.238116
2021-09-11 11:31:39.310802 : Epoch  5, Batch    923, Loss  0.854136, Average Loss  0.870474, Time  0.171880
2021-09-11 11:31:40.881858 : Epoch  4, Batch   1492, Loss  0.856014, Average Loss  0.869813, Time  0.237308
2021-09-11 11:31:40.951088 : Epoch  5, Batch    924, Loss  0.895703, Average Loss  0.870623, Time  0.171495
2021-09-11 11:31:42.540066 : Epoch  5, Batch    925, Loss  0.898249, Average Loss  0.870824, Time  0.171808
2021-09-11 11:31:43.456132 : Epoch  4, Batch   1493, Loss  0.884813, Average Loss  0.869958, Time  0.237423
2021-09-11 11:31:44.162654 : Epoch  5, Batch    926, Loss  0.862152, Average Loss  0.870757, Time  0.170974
2021-09-11 11:31:45.733853 : Epoch  5, Batch    927, Loss  0.906475, Average Loss  0.870924, Time  0.171067
2021-09-11 11:31:46.027982 : Epoch  4, Batch   1494, Loss  0.872476, Average Loss  0.869921, Time  0.237432
2021-09-11 11:31:47.322780 : Epoch  5, Batch    928, Loss  0.882555, Average Loss  0.870959, Time  0.172476
2021-09-11 11:31:48.598728 : Epoch  4, Batch   1495, Loss  0.882618, Average Loss  0.870017, Time  0.238632
2021-09-11 11:31:48.925246 : Epoch  5, Batch    929, Loss  0.904811, Average Loss  0.870952, Time  0.170408
2021-09-11 11:31:50.502137 : Epoch  5, Batch    930, Loss  0.847684, Average Loss  0.870930, Time  0.173347
2021-09-11 11:31:51.168928 : Epoch  4, Batch   1496, Loss  0.887543, Average Loss  0.870077, Time  0.237752
2021-09-11 11:31:52.108816 : Epoch  5, Batch    931, Loss  0.856687, Average Loss  0.871089, Time  0.173225
2021-09-11 11:31:53.745854 : Epoch  5, Batch    932, Loss  0.876424, Average Loss  0.871087, Time  0.170760
2021-09-11 11:31:55.351027 : Epoch  5, Batch    933, Loss  0.869495, Average Loss  0.870973, Time  0.170806
2021-09-11 11:31:56.311244 : Epoch  4, Batch   1498, Loss  0.865992, Average Loss  0.869984, Time  0.237834
2021-09-11 11:31:56.947796 : Epoch  5, Batch    934, Loss  0.897963, Average Loss  0.871098, Time  0.171226
2021-09-11 11:31:58.564774 : Epoch  5, Batch    935, Loss  0.898314, Average Loss  0.871122, Time  0.176484
2021-09-11 11:31:58.882871 : Epoch  4, Batch   1499, Loss  0.880940, Average Loss  0.870099, Time  0.238943
2021-09-11 11:32:00.160049 : Epoch  5, Batch    936, Loss  0.885973, Average Loss  0.871188, Time  0.171438
2021-09-11 11:32:01.456960 : Epoch  4, Batch   1500, Loss  0.862995, Average Loss  0.870121, Time  0.237561
2021-09-11 11:32:01.750019 : Epoch  5, Batch    937, Loss  0.860494, Average Loss  0.871073, Time  0.169993
2021-09-11 11:32:03.359918 : Epoch  5, Batch    938, Loss  0.855774, Average Loss  0.870874, Time  0.170240
2021-09-11 11:32:04.024864 : Epoch  4, Batch   1501, Loss  0.860462, Average Loss  0.870062, Time  0.237243
2021-09-11 11:32:05.030884 : Epoch  5, Batch    939, Loss  0.878354, Average Loss  0.871056, Time  0.170801
2021-09-11 11:32:06.600010 : Epoch  4, Batch   1502, Loss  0.828795, Average Loss  0.869837, Time  0.238276
2021-09-11 11:32:06.617083 : Epoch  5, Batch    940, Loss  0.862060, Average Loss  0.870974, Time  0.173208
2021-09-11 11:32:08.222196 : Epoch  5, Batch    941, Loss  0.855887, Average Loss  0.870861, Time  0.170600
2021-09-11 11:32:09.169076 : Epoch  4, Batch   1503, Loss  0.858641, Average Loss  0.869844, Time  0.237895
2021-09-11 11:32:09.834902 : Epoch  5, Batch    942, Loss  0.844207, Average Loss  0.870824, Time  0.170394
2021-09-11 11:32:11.446484 : Epoch  5, Batch    943, Loss  0.883435, Average Loss  0.870882, Time  0.170792
2021-09-11 11:32:11.762943 : Epoch  4, Batch   1504, Loss  0.859572, Average Loss  0.869780, Time  0.237647
2021-09-11 11:32:13.058876 : Epoch  5, Batch    944, Loss  0.855926, Average Loss  0.870855, Time  0.173110
2021-09-11 11:32:14.331619 : Epoch  4, Batch   1505, Loss  0.878483, Average Loss  0.869753, Time  0.237870
2021-09-11 11:32:14.663068 : Epoch  5, Batch    945, Loss  0.884592, Average Loss  0.871020, Time  0.171576
2021-09-11 11:32:16.251243 : Epoch  5, Batch    946, Loss  0.881690, Average Loss  0.871063, Time  0.171844
2021-09-11 11:32:16.904069 : Epoch  4, Batch   1506, Loss  0.856887, Average Loss  0.869620, Time  0.238308
2021-09-11 11:32:17.838180 : Epoch  5, Batch    947, Loss  0.872321, Average Loss  0.871011, Time  0.170537
2021-09-11 11:32:19.426153 : Epoch  5, Batch    948, Loss  0.884685, Average Loss  0.871033, Time  0.172794
2021-09-11 11:32:19.484950 : Epoch  4, Batch   1507, Loss  0.860099, Average Loss  0.869573, Time  0.237446
2021-09-11 11:32:22.088740 : Epoch  5, Batch    949, Loss  0.885631, Average Loss  0.871144, Time  0.173736
2021-09-11 11:32:22.144076 : Epoch  4, Batch   1508, Loss  0.859018, Average Loss  0.869500, Time  0.239610
2021-09-11 11:32:23.687815 : Epoch  5, Batch    950, Loss  0.874683, Average Loss  0.871201, Time  0.171769
2021-09-11 11:32:24.741747 : Epoch  4, Batch   1509, Loss  0.893427, Average Loss  0.869601, Time  0.239226
2021-09-11 11:32:25.269058 : Epoch  5, Batch    951, Loss  0.875900, Average Loss  0.871282, Time  0.170006
2021-09-11 11:32:26.877976 : Epoch  5, Batch    952, Loss  0.868463, Average Loss  0.871201, Time  0.172334
2021-09-11 11:32:27.317871 : Epoch  4, Batch   1510, Loss  0.854111, Average Loss  0.869562, Time  0.237501
2021-09-11 11:32:28.503846 : Epoch  5, Batch    953, Loss  0.851411, Average Loss  0.871139, Time  0.174040
2021-09-11 11:32:29.899674 : Epoch  4, Batch   1511, Loss  0.872391, Average Loss  0.869565, Time  0.240143
2021-09-11 11:32:30.097913 : Epoch  5, Batch    954, Loss  0.854465, Average Loss  0.871091, Time  0.170964
2021-09-11 11:32:31.700020 : Epoch  5, Batch    955, Loss  0.849276, Average Loss  0.871099, Time  0.171551
2021-09-11 11:32:32.487835 : Epoch  4, Batch   1512, Loss  0.858100, Average Loss  0.869440, Time  0.239938
2021-09-11 11:32:33.282061 : Epoch  5, Batch    956, Loss  0.843493, Average Loss  0.870945, Time  0.174548
2021-09-11 11:32:35.070366 : Epoch  4, Batch   1513, Loss  0.888764, Average Loss  0.869602, Time  0.237690
2021-09-11 11:32:37.647621 : Epoch  4, Batch   1514, Loss  0.852187, Average Loss  0.869566, Time  0.237855
2021-09-11 11:32:40.223679 : Epoch  4, Batch   1515, Loss  0.863688, Average Loss  0.869424, Time  0.237642
2021-09-11 11:32:42.806235 : Epoch  4, Batch   1516, Loss  0.871459, Average Loss  0.869414, Time  0.237699
2021-09-11 11:32:45.381974 : Epoch  4, Batch   1517, Loss  0.859870, Average Loss  0.869311, Time  0.240603
2021-09-11 11:32:47.980190 : Epoch  4, Batch   1518, Loss  0.869231, Average Loss  0.869190, Time  0.237807
2021-09-11 11:32:50.578256 : Epoch  4, Batch   1519, Loss  0.867829, Average Loss  0.869155, Time  0.237261
2021-09-11 11:32:53.154976 : Epoch  4, Batch   1520, Loss  0.849982, Average Loss  0.868984, Time  0.237348
2021-09-11 11:32:55.738039 : Epoch  4, Batch   1521, Loss  0.865148, Average Loss  0.869131, Time  0.237328
2021-09-11 11:32:58.317829 : Epoch  4, Batch   1522, Loss  0.869486, Average Loss  0.869129, Time  0.237109
2021-09-11 11:33:00.885898 : Epoch  4, Batch   1523, Loss  0.857560, Average Loss  0.868969, Time  0.239209
2021-09-11 11:33:03.460935 : Epoch  4, Batch   1524, Loss  0.867588, Average Loss  0.869050, Time  0.238054
2021-09-11 11:33:06.031415 : Epoch  4, Batch   1525, Loss  0.846683, Average Loss  0.868953, Time  0.238068
2021-09-11 11:33:08.622084 : Epoch  4, Batch   1526, Loss  0.873956, Average Loss  0.868970, Time  0.237554
2021-09-11 11:33:11.186720 : Epoch  4, Batch   1527, Loss  0.883062, Average Loss  0.869097, Time  0.237339
2021-09-11 11:33:13.759818 : Epoch  4, Batch   1528, Loss  0.872188, Average Loss  0.869099, Time  0.238392
2021-09-11 11:33:16.328930 : Epoch  4, Batch   1529, Loss  0.858976, Average Loss  0.869017, Time  0.237352
2021-09-11 11:33:18.903349 : Epoch  4, Batch   1530, Loss  0.858016, Average Loss  0.868945, Time  0.237391
2021-09-11 11:33:21.487994 : Epoch  4, Batch   1531, Loss  0.862391, Average Loss  0.868897, Time  0.238781
2021-09-11 11:33:24.069253 : Epoch  4, Batch   1532, Loss  0.882101, Average Loss  0.868929, Time  0.238482
2021-09-11 11:37:14.563738 : CheckPoint: Validation Loss  0.00058916, Best Loss  0.00057296
2021-09-11 11:37:16.194062 : Epoch  5, Batch    957, Loss  0.866702, Average Loss  0.870974, Time  0.181383
2021-09-11 11:37:17.788764 : Epoch  5, Batch    958, Loss  0.906253, Average Loss  0.871122, Time  0.176028
2021-09-11 11:37:19.383839 : Epoch  5, Batch    959, Loss  0.840723, Average Loss  0.871057, Time  0.173198
2021-09-11 11:37:20.971041 : Epoch  5, Batch    960, Loss  0.872973, Average Loss  0.871052, Time  0.171777
2021-09-11 11:37:22.547805 : Epoch  5, Batch    961, Loss  0.878150, Average Loss  0.871282, Time  0.171811
2021-09-11 11:37:24.130907 : Epoch  5, Batch    962, Loss  0.856958, Average Loss  0.871194, Time  0.173018
2021-09-11 11:37:25.729098 : Epoch  5, Batch    963, Loss  0.896470, Average Loss  0.871434, Time  0.170340
2021-09-11 11:37:26.052782 : CheckPoint: Validation Loss  0.00030047, Best Loss  0.00029019
2021-09-11 11:37:27.334774 : Epoch  5, Batch    964, Loss  0.879974, Average Loss  0.871499, Time  0.173451
2021-09-11 11:37:28.654956 : Epoch  4, Batch   1533, Loss  0.869829, Average Loss  0.868910, Time  0.273035
2021-09-11 11:37:28.948849 : Epoch  5, Batch    965, Loss  0.875666, Average Loss  0.871603, Time  0.170701
2021-09-11 11:37:30.540869 : Epoch  5, Batch    966, Loss  0.853568, Average Loss  0.871583, Time  0.171194
2021-09-11 11:37:31.244884 : Epoch  4, Batch   1534, Loss  0.873590, Average Loss  0.868903, Time  0.244757
2021-09-11 11:37:32.138764 : Epoch  5, Batch    967, Loss  0.858892, Average Loss  0.871669, Time  0.170494
2021-09-11 11:37:33.739745 : Epoch  5, Batch    968, Loss  0.880331, Average Loss  0.871700, Time  0.172642
2021-09-11 11:37:33.826470 : Epoch  4, Batch   1535, Loss  0.879731, Average Loss  0.868941, Time  0.238418
2021-09-11 11:37:35.350819 : Epoch  5, Batch    969, Loss  0.864935, Average Loss  0.871683, Time  0.171807
2021-09-11 11:37:36.391634 : Epoch  4, Batch   1536, Loss  0.853335, Average Loss  0.868854, Time  0.237446
2021-09-11 11:37:36.974101 : Epoch  5, Batch    970, Loss  0.859023, Average Loss  0.871619, Time  0.181016
2021-09-11 11:37:38.566975 : Epoch  5, Batch    971, Loss  0.870460, Average Loss  0.871565, Time  0.171902
2021-09-11 11:37:38.968107 : Epoch  4, Batch   1537, Loss  0.862848, Average Loss  0.868805, Time  0.237335
2021-09-11 11:37:40.158041 : Epoch  5, Batch    972, Loss  0.891539, Average Loss  0.871578, Time  0.172430
2021-09-11 11:37:41.543319 : Epoch  4, Batch   1538, Loss  0.872398, Average Loss  0.868804, Time  0.238181
2021-09-11 11:37:41.737926 : Epoch  5, Batch    973, Loss  0.887204, Average Loss  0.871728, Time  0.171114
2021-09-11 11:37:43.310987 : Epoch  5, Batch    974, Loss  0.895514, Average Loss  0.871861, Time  0.170155
2021-09-11 11:37:44.121063 : Epoch  4, Batch   1539, Loss  0.872808, Average Loss  0.868820, Time  0.237266
2021-09-11 11:37:44.923039 : Epoch  5, Batch    975, Loss  0.855983, Average Loss  0.871755, Time  0.172558
2021-09-11 11:37:46.523041 : Epoch  5, Batch    976, Loss  0.857132, Average Loss  0.871606, Time  0.177450
2021-09-11 11:37:46.699272 : Epoch  4, Batch   1540, Loss  0.874230, Average Loss  0.868903, Time  0.238005
2021-09-11 11:37:48.139889 : Epoch  5, Batch    977, Loss  0.875724, Average Loss  0.871587, Time  0.170778
2021-09-11 11:37:49.268931 : Epoch  4, Batch   1541, Loss  0.852624, Average Loss  0.868792, Time  0.237301
2021-09-11 11:37:49.732092 : Epoch  5, Batch    978, Loss  0.864668, Average Loss  0.871639, Time  0.173539
2021-09-11 11:37:51.302998 : Epoch  5, Batch    979, Loss  0.855906, Average Loss  0.871530, Time  0.170751
2021-09-11 11:37:51.849879 : Epoch  4, Batch   1542, Loss  0.861153, Average Loss  0.868675, Time  0.237624
2021-09-11 11:37:52.888330 : Epoch  5, Batch    980, Loss  0.864743, Average Loss  0.871502, Time  0.176414
2021-09-11 11:37:54.424780 : Epoch  4, Batch   1543, Loss  0.848521, Average Loss  0.868463, Time  0.237561
2021-09-11 11:37:54.500099 : Epoch  5, Batch    981, Loss  0.831155, Average Loss  0.871571, Time  0.170621
2021-09-11 11:37:56.094293 : Epoch  5, Batch    982, Loss  0.836554, Average Loss  0.871570, Time  0.174212
2021-09-11 11:37:56.995183 : Epoch  4, Batch   1544, Loss  0.880909, Average Loss  0.868581, Time  0.240197
2021-09-11 11:37:57.696132 : Epoch  5, Batch    983, Loss  0.863053, Average Loss  0.871549, Time  0.172205
2021-09-11 11:37:59.300049 : Epoch  5, Batch    984, Loss  0.855270, Average Loss  0.871378, Time  0.170854
2021-09-11 11:37:59.565104 : Epoch  4, Batch   1545, Loss  0.872240, Average Loss  0.868593, Time  0.237863
2021-09-11 11:38:00.902019 : Epoch  5, Batch    985, Loss  0.892321, Average Loss  0.871555, Time  0.170286
2021-09-11 11:38:02.133432 : Epoch  4, Batch   1546, Loss  0.859480, Average Loss  0.868432, Time  0.238102
2021-09-11 11:38:02.475240 : Epoch  5, Batch    986, Loss  0.866333, Average Loss  0.871653, Time  0.173264
2021-09-11 11:38:04.073104 : Epoch  5, Batch    987, Loss  0.889195, Average Loss  0.871710, Time  0.171166
2021-09-11 11:38:04.707662 : Epoch  4, Batch   1547, Loss  0.850469, Average Loss  0.868233, Time  0.237885
2021-09-11 11:38:05.653743 : Epoch  5, Batch    988, Loss  0.880535, Average Loss  0.871854, Time  0.173999
2021-09-11 11:38:07.238123 : Epoch  5, Batch    989, Loss  0.839670, Average Loss  0.871637, Time  0.173240
2021-09-11 11:38:07.294386 : Epoch  4, Batch   1548, Loss  0.860857, Average Loss  0.868223, Time  0.237206
2021-09-11 11:38:08.844842 : Epoch  5, Batch    990, Loss  0.862338, Average Loss  0.871578, Time  0.171658
2021-09-11 11:38:09.914944 : Epoch  4, Batch   1549, Loss  0.877774, Average Loss  0.868246, Time  0.237553
2021-09-11 11:38:10.455106 : Epoch  5, Batch    991, Loss  0.887862, Average Loss  0.871755, Time  0.173113
2021-09-11 11:38:12.083166 : Epoch  5, Batch    992, Loss  0.867943, Average Loss  0.871912, Time  0.180693
2021-09-11 11:38:12.487391 : Epoch  4, Batch   1550, Loss  0.865354, Average Loss  0.868206, Time  0.237110
2021-09-11 11:38:13.717040 : Epoch  5, Batch    993, Loss  0.865368, Average Loss  0.871836, Time  0.171815
2021-09-11 11:38:15.059947 : Epoch  4, Batch   1551, Loss  0.874423, Average Loss  0.868383, Time  0.237436
2021-09-11 11:38:15.323200 : Epoch  5, Batch    994, Loss  0.831489, Average Loss  0.871597, Time  0.177217
2021-09-11 11:38:16.909165 : Epoch  5, Batch    995, Loss  0.873720, Average Loss  0.871629, Time  0.173355
2021-09-11 11:38:17.632253 : Epoch  4, Batch   1552, Loss  0.866522, Average Loss  0.868466, Time  0.239457
2021-09-11 11:38:18.500263 : Epoch  5, Batch    996, Loss  0.883625, Average Loss  0.871834, Time  0.170869
2021-09-11 11:38:20.105196 : Epoch  5, Batch    997, Loss  0.876086, Average Loss  0.871614, Time  0.171303
2021-09-11 11:38:20.227065 : Epoch  4, Batch   1553, Loss  0.881081, Average Loss  0.868637, Time  0.237750
2021-09-11 11:38:21.713125 : Epoch  5, Batch    998, Loss  0.888878, Average Loss  0.871697, Time  0.170289
2021-09-11 11:38:22.821974 : Epoch  4, Batch   1554, Loss  0.856636, Average Loss  0.868537, Time  0.238060
2021-09-11 11:38:23.284246 : Epoch  5, Batch    999, Loss  0.862518, Average Loss  0.871705, Time  0.170773
2021-09-11 11:38:24.913026 : Epoch  5, Batch   1000, Loss  0.866593, Average Loss  0.871578, Time  0.196575
2021-09-11 11:38:25.401259 : Epoch  4, Batch   1555, Loss  0.859422, Average Loss  0.868495, Time  0.237860
2021-09-11 11:38:26.506880 : Epoch  5, Batch   1001, Loss  0.850337, Average Loss  0.871418, Time  0.170303
2021-09-11 11:38:27.988362 : Epoch  4, Batch   1556, Loss  0.863279, Average Loss  0.868634, Time  0.237948
2021-09-11 11:38:28.093103 : Epoch  5, Batch   1002, Loss  0.854498, Average Loss  0.871492, Time  0.170429
2021-09-11 11:38:29.724026 : Epoch  5, Batch   1003, Loss  0.840129, Average Loss  0.871404, Time  0.171327
2021-09-11 11:38:30.571127 : Epoch  4, Batch   1557, Loss  0.867104, Average Loss  0.868632, Time  0.238120
2021-09-11 11:38:31.339899 : Epoch  5, Batch   1004, Loss  0.828623, Average Loss  0.871267, Time  0.170378
2021-09-11 11:38:32.946942 : Epoch  5, Batch   1005, Loss  0.849268, Average Loss  0.871030, Time  0.173126
2021-09-11 11:38:33.146379 : Epoch  4, Batch   1558, Loss  0.876652, Average Loss  0.868686, Time  0.237357
2021-09-11 11:38:34.517910 : Epoch  5, Batch   1006, Loss  0.868583, Average Loss  0.870961, Time  0.172815
2021-09-11 11:38:35.725142 : Epoch  4, Batch   1559, Loss  0.875742, Average Loss  0.868685, Time  0.237858
2021-09-11 11:38:36.116191 : Epoch  5, Batch   1007, Loss  0.870316, Average Loss  0.870779, Time  0.170833
2021-09-11 11:38:37.733890 : Epoch  5, Batch   1008, Loss  0.867366, Average Loss  0.870599, Time  0.173391
2021-09-11 11:38:38.303942 : Epoch  4, Batch   1560, Loss  0.859653, Average Loss  0.868516, Time  0.237395
2021-09-11 11:38:39.314118 : Epoch  5, Batch   1009, Loss  0.871936, Average Loss  0.870544, Time  0.170316
2021-09-11 11:38:40.880121 : Epoch  4, Batch   1561, Loss  0.869340, Average Loss  0.868553, Time  0.237408
2021-09-11 11:38:40.910845 : Epoch  5, Batch   1010, Loss  0.891174, Average Loss  0.870627, Time  0.171088
2021-09-11 11:38:42.525223 : Epoch  5, Batch   1011, Loss  0.907393, Average Loss  0.870883, Time  0.181525
2021-09-11 11:38:43.462608 : Epoch  4, Batch   1562, Loss  0.868715, Average Loss  0.868548, Time  0.238208
2021-09-11 11:38:44.147088 : Epoch  5, Batch   1012, Loss  0.876779, Average Loss  0.871086, Time  0.170643
2021-09-11 11:38:45.761909 : Epoch  5, Batch   1013, Loss  0.885755, Average Loss  0.871330, Time  0.178916
2021-09-11 11:38:46.031187 : Epoch  4, Batch   1563, Loss  0.854286, Average Loss  0.868419, Time  0.237651
2021-09-11 11:38:47.388863 : Epoch  5, Batch   1014, Loss  0.886339, Average Loss  0.871456, Time  0.172799
2021-09-11 11:38:48.599324 : Epoch  4, Batch   1564, Loss  0.871160, Average Loss  0.868416, Time  0.237534
2021-09-11 11:38:49.003868 : Epoch  5, Batch   1015, Loss  0.904041, Average Loss  0.871662, Time  0.171049
2021-09-11 11:38:50.609730 : Epoch  5, Batch   1016, Loss  0.859363, Average Loss  0.871531, Time  0.173753
2021-09-11 11:38:51.169466 : Epoch  4, Batch   1565, Loss  0.880274, Average Loss  0.868508, Time  0.237676
2021-09-11 11:38:52.192049 : Epoch  5, Batch   1017, Loss  0.863763, Average Loss  0.871596, Time  0.170548
2021-09-11 11:38:53.742044 : Epoch  4, Batch   1566, Loss  0.866640, Average Loss  0.868491, Time  0.237757
2021-09-11 11:38:53.792080 : Epoch  5, Batch   1018, Loss  0.881031, Average Loss  0.871604, Time  0.170175
2021-09-11 11:38:55.436994 : Epoch  5, Batch   1019, Loss  0.871261, Average Loss  0.871594, Time  0.169899
2021-09-11 11:38:56.317586 : Epoch  4, Batch   1567, Loss  0.881313, Average Loss  0.868524, Time  0.237374
2021-09-11 11:38:57.069903 : Epoch  5, Batch   1020, Loss  0.853194, Average Loss  0.871341, Time  0.170506
2021-09-11 11:38:58.698800 : Epoch  5, Batch   1021, Loss  0.878038, Average Loss  0.871310, Time  0.174062
2021-09-11 11:38:58.894843 : Epoch  4, Batch   1568, Loss  0.859890, Average Loss  0.868555, Time  0.238444
2021-09-11 11:39:00.298225 : Epoch  5, Batch   1022, Loss  0.884158, Average Loss  0.871264, Time  0.172877
2021-09-11 11:39:01.476665 : Epoch  4, Batch   1569, Loss  0.852027, Average Loss  0.868464, Time  0.238149
2021-09-11 11:39:01.884975 : Epoch  5, Batch   1023, Loss  0.882357, Average Loss  0.871231, Time  0.173913
2021-09-11 11:39:03.481086 : Epoch  5, Batch   1024, Loss  0.879572, Average Loss  0.871185, Time  0.174447
2021-09-11 11:39:04.087404 : Epoch  4, Batch   1570, Loss  0.879981, Average Loss  0.868505, Time  0.238442
2021-09-11 11:39:05.053840 : Epoch  5, Batch   1025, Loss  0.865105, Average Loss  0.871004, Time  0.170506
2021-09-11 11:39:06.647896 : Epoch  5, Batch   1026, Loss  0.882589, Average Loss  0.871036, Time  0.170721
2021-09-11 11:39:06.670330 : Epoch  4, Batch   1571, Loss  0.866462, Average Loss  0.868507, Time  0.241073
2021-09-11 11:39:08.247865 : Epoch  5, Batch   1027, Loss  0.851944, Average Loss  0.871013, Time  0.172882
2021-09-11 11:39:09.257371 : Epoch  4, Batch   1572, Loss  0.864582, Average Loss  0.868517, Time  0.238660
2021-09-11 11:39:09.830933 : Epoch  5, Batch   1028, Loss  0.881981, Average Loss  0.871154, Time  0.171842
2021-09-11 11:39:11.424122 : Epoch  5, Batch   1029, Loss  0.871065, Average Loss  0.871351, Time  0.172791
2021-09-11 11:39:11.838400 : Epoch  4, Batch   1573, Loss  0.862594, Average Loss  0.868515, Time  0.237568
2021-09-11 11:39:13.034112 : Epoch  5, Batch   1030, Loss  0.880771, Average Loss  0.871531, Time  0.174140
2021-09-11 11:39:14.425180 : Epoch  4, Batch   1574, Loss  0.878911, Average Loss  0.868489, Time  0.237615
2021-09-11 11:39:14.641960 : Epoch  5, Batch   1031, Loss  0.872529, Average Loss  0.871519, Time  0.172759
2021-09-11 11:39:16.222332 : Epoch  5, Batch   1032, Loss  0.890458, Average Loss  0.871697, Time  0.171900
2021-09-11 11:39:17.016739 : Epoch  4, Batch   1575, Loss  0.888697, Average Loss  0.868644, Time  0.241294
2021-09-11 11:39:17.792037 : Epoch  5, Batch   1033, Loss  0.897811, Average Loss  0.871830, Time  0.175026
2021-09-11 11:39:19.402213 : Epoch  5, Batch   1034, Loss  0.884722, Average Loss  0.871811, Time  0.177862
2021-09-11 11:39:19.621474 : Epoch  4, Batch   1576, Loss  0.886099, Average Loss  0.868730, Time  0.239541
2021-09-11 11:39:20.995117 : Epoch  5, Batch   1035, Loss  0.870313, Average Loss  0.871798, Time  0.170520
2021-09-11 11:39:22.204371 : Epoch  4, Batch   1577, Loss  0.880839, Average Loss  0.868730, Time  0.238468
2021-09-11 11:39:22.613955 : Epoch  5, Batch   1036, Loss  0.874185, Average Loss  0.871981, Time  0.170534
2021-09-11 11:39:24.214074 : Epoch  5, Batch   1037, Loss  0.871193, Average Loss  0.871884, Time  0.171418
2021-09-11 11:39:24.769341 : Epoch  4, Batch   1578, Loss  0.906935, Average Loss  0.868907, Time  0.238309
2021-09-11 11:39:25.805930 : Epoch  5, Batch   1038, Loss  0.887923, Average Loss  0.871884, Time  0.172330
2021-09-11 11:39:27.344991 : Epoch  4, Batch   1579, Loss  0.869975, Average Loss  0.868878, Time  0.237575
2021-09-11 11:39:27.396180 : Epoch  5, Batch   1039, Loss  0.887168, Average Loss  0.872036, Time  0.172730
2021-09-11 11:39:28.988798 : Epoch  5, Batch   1040, Loss  0.859602, Average Loss  0.871835, Time  0.171776
2021-09-11 11:39:29.915249 : Epoch  4, Batch   1580, Loss  0.870461, Average Loss  0.868802, Time  0.237413
2021-09-11 11:39:30.585771 : Epoch  5, Batch   1041, Loss  0.850143, Average Loss  0.871667, Time  0.173362
2021-09-11 11:39:32.211117 : Epoch  5, Batch   1042, Loss  0.847905, Average Loss  0.871497, Time  0.170328
2021-09-11 11:39:32.486990 : Epoch  4, Batch   1581, Loss  0.856199, Average Loss  0.868797, Time  0.237547
2021-09-11 11:39:33.815996 : Epoch  5, Batch   1043, Loss  0.856594, Average Loss  0.871496, Time  0.173625
2021-09-11 11:39:35.056371 : Epoch  4, Batch   1582, Loss  0.855039, Average Loss  0.868730, Time  0.238980
2021-09-11 11:39:35.417863 : Epoch  5, Batch   1044, Loss  0.885931, Average Loss  0.871448, Time  0.170703
2021-09-11 11:39:37.007812 : Epoch  5, Batch   1045, Loss  0.895008, Average Loss  0.871614, Time  0.170381
2021-09-11 11:39:37.632203 : Epoch  4, Batch   1583, Loss  0.842461, Average Loss  0.868650, Time  0.238247
2021-09-11 11:39:38.607862 : Epoch  5, Batch   1046, Loss  0.855725, Average Loss  0.871625, Time  0.170075
2021-09-11 11:39:40.199859 : Epoch  5, Batch   1047, Loss  0.891985, Average Loss  0.871741, Time  0.171526
2021-09-11 11:39:40.214674 : Epoch  4, Batch   1584, Loss  0.852939, Average Loss  0.868714, Time  0.237453
2021-09-11 11:39:41.797982 : Epoch  5, Batch   1048, Loss  0.901246, Average Loss  0.871931, Time  0.172415
2021-09-11 11:39:42.802163 : Epoch  4, Batch   1585, Loss  0.900789, Average Loss  0.868852, Time  0.237536
2021-09-11 11:39:43.401105 : Epoch  5, Batch   1049, Loss  0.875826, Average Loss  0.871976, Time  0.170674
2021-09-11 11:39:45.002236 : Epoch  5, Batch   1050, Loss  0.850490, Average Loss  0.871719, Time  0.170676
2021-09-11 11:39:45.415383 : Epoch  4, Batch   1586, Loss  0.870009, Average Loss  0.868800, Time  0.238591
2021-09-11 11:39:46.593192 : Epoch  5, Batch   1051, Loss  0.868326, Average Loss  0.871696, Time  0.174455
2021-09-11 11:39:47.993046 : Epoch  4, Batch   1587, Loss  0.871412, Average Loss  0.868843, Time  0.237562
2021-09-11 11:39:48.195795 : Epoch  5, Batch   1052, Loss  0.886273, Average Loss  0.871787, Time  0.170469
2021-09-11 11:39:49.767905 : Epoch  5, Batch   1053, Loss  0.866717, Average Loss  0.871690, Time  0.171417
2021-09-11 11:39:50.563801 : Epoch  4, Batch   1588, Loss  0.855090, Average Loss  0.868827, Time  0.237761
2021-09-11 11:39:51.367118 : Epoch  5, Batch   1054, Loss  0.885012, Average Loss  0.871799, Time  0.173006
2021-09-11 11:39:52.971913 : Epoch  5, Batch   1055, Loss  0.876848, Average Loss  0.871808, Time  0.170769
2021-09-11 11:39:53.150637 : Epoch  4, Batch   1589, Loss  0.859341, Average Loss  0.868697, Time  0.237875
2021-09-11 11:39:54.583355 : Epoch  5, Batch   1056, Loss  0.849901, Average Loss  0.871678, Time  0.170336
2021-09-11 11:39:55.765605 : Epoch  4, Batch   1590, Loss  0.858128, Average Loss  0.868603, Time  0.237181
2021-09-11 11:39:58.347938 : Epoch  4, Batch   1591, Loss  0.875600, Average Loss  0.868635, Time  0.237634
2021-09-11 11:40:00.935395 : Epoch  4, Batch   1592, Loss  0.894317, Average Loss  0.868681, Time  0.237261
2021-09-11 11:40:03.519231 : Epoch  4, Batch   1593, Loss  0.878461, Average Loss  0.868649, Time  0.237623
2021-09-11 11:40:06.096383 : Epoch  4, Batch   1594, Loss  0.864824, Average Loss  0.868606, Time  0.237283
2021-09-11 11:40:08.677982 : Epoch  4, Batch   1595, Loss  0.866805, Average Loss  0.868569, Time  0.237999
2021-09-11 11:40:11.258341 : Epoch  4, Batch   1596, Loss  0.889325, Average Loss  0.868699, Time  0.241146
2021-09-11 11:40:13.829854 : Epoch  4, Batch   1597, Loss  0.872307, Average Loss  0.868704, Time  0.237411
2021-09-11 11:40:16.408056 : Epoch  4, Batch   1598, Loss  0.897711, Average Loss  0.868962, Time  0.238127
2021-09-11 11:40:18.984363 : Epoch  4, Batch   1599, Loss  0.857037, Average Loss  0.868877, Time  0.237372
2021-09-11 11:40:21.582808 : Epoch  4, Batch   1600, Loss  0.862698, Average Loss  0.868803, Time  0.239206
2021-09-11 11:40:24.156602 : Epoch  4, Batch   1601, Loss  0.870751, Average Loss  0.868828, Time  0.237139
2021-09-11 11:40:26.732561 : Epoch  4, Batch   1602, Loss  0.882486, Average Loss  0.868976, Time  0.238047
2021-09-11 11:40:29.308349 : Epoch  4, Batch   1603, Loss  0.885512, Average Loss  0.868953, Time  0.237547
2021-09-11 11:40:31.892041 : Epoch  4, Batch   1604, Loss  0.871969, Average Loss  0.868963, Time  0.237384
2021-09-11 11:40:34.463816 : Epoch  4, Batch   1605, Loss  0.865698, Average Loss  0.868924, Time  0.237103
2021-09-11 11:40:37.043322 : Epoch  4, Batch   1606, Loss  0.859497, Average Loss  0.868814, Time  0.237667
2021-09-11 11:40:39.625661 : Epoch  4, Batch   1607, Loss  0.848313, Average Loss  0.868684, Time  0.240969
2021-09-11 11:40:42.195544 : Epoch  4, Batch   1608, Loss  0.840204, Average Loss  0.868488, Time  0.238240
2021-09-11 11:40:44.771367 : Epoch  4, Batch   1609, Loss  0.872694, Average Loss  0.868616, Time  0.237019
2021-09-11 11:40:47.350058 : Epoch  4, Batch   1610, Loss  0.873976, Average Loss  0.868669, Time  0.237899
2021-09-11 11:40:49.942941 : Epoch  4, Batch   1611, Loss  0.884229, Average Loss  0.868845, Time  0.238382
2021-09-11 11:40:52.519606 : Epoch  4, Batch   1612, Loss  0.882920, Average Loss  0.868920, Time  0.237261
2021-09-11 11:40:55.100527 : Epoch  4, Batch   1613, Loss  0.858069, Average Loss  0.868920, Time  0.237107
2021-09-11 11:40:57.678003 : Epoch  4, Batch   1614, Loss  0.874112, Average Loss  0.868960, Time  0.237708
2021-09-11 11:41:00.254602 : Epoch  4, Batch   1615, Loss  0.874398, Average Loss  0.868944, Time  0.237484
2021-09-11 11:41:02.830384 : Epoch  4, Batch   1616, Loss  0.869738, Average Loss  0.868947, Time  0.237063
2021-09-11 11:41:05.407995 : Epoch  4, Batch   1617, Loss  0.886021, Average Loss  0.868965, Time  0.237158
2021-09-11 11:41:07.981145 : Epoch  4, Batch   1618, Loss  0.874106, Average Loss  0.869077, Time  0.239020
2021-09-11 11:41:10.560373 : Epoch  4, Batch   1619, Loss  0.844477, Average Loss  0.868972, Time  0.238113
2021-09-11 11:41:13.133916 : Epoch  4, Batch   1620, Loss  0.873285, Average Loss  0.868941, Time  0.237372
2021-09-11 11:41:15.712345 : Epoch  4, Batch   1621, Loss  0.880117, Average Loss  0.868899, Time  0.238168
2021-09-11 11:41:18.290352 : Epoch  4, Batch   1622, Loss  0.875272, Average Loss  0.869017, Time  0.237471
2021-09-11 11:41:20.910867 : Epoch  4, Batch   1623, Loss  0.861165, Average Loss  0.869069, Time  0.239600
2021-09-11 11:41:23.497994 : Epoch  4, Batch   1624, Loss  0.879541, Average Loss  0.869202, Time  0.239448
2021-09-11 11:41:26.081605 : Epoch  4, Batch   1625, Loss  0.885170, Average Loss  0.869339, Time  0.238622
2021-09-11 11:41:28.661005 : Epoch  4, Batch   1626, Loss  0.897475, Average Loss  0.869427, Time  0.238343
2021-09-11 11:41:31.237408 : Epoch  4, Batch   1627, Loss  0.878361, Average Loss  0.869637, Time  0.237428
2021-09-11 11:41:33.847849 : Epoch  4, Batch   1628, Loss  0.862322, Average Loss  0.869594, Time  0.237635
2021-09-11 11:41:36.436859 : Epoch  4, Batch   1629, Loss  0.852741, Average Loss  0.869417, Time  0.237811
2021-09-11 11:41:39.019818 : Epoch  4, Batch   1630, Loss  0.879970, Average Loss  0.869500, Time  0.238293
2021-09-11 11:41:41.603809 : Epoch  4, Batch   1631, Loss  0.903019, Average Loss  0.869724, Time  0.238170
2021-09-11 11:41:44.186986 : Epoch  4, Batch   1632, Loss  0.854729, Average Loss  0.869686, Time  0.237322
2021-09-11 11:44:36.239729 : CheckPoint: Validation Loss  0.00059693, Best Loss  0.00057296
2021-09-11 11:44:37.833845 : Epoch  5, Batch   1057, Loss  0.870699, Average Loss  0.871687, Time  0.178169
2021-09-11 11:44:39.452766 : Epoch  5, Batch   1058, Loss  0.878823, Average Loss  0.871760, Time  0.172706
2021-09-11 11:44:41.069871 : Epoch  5, Batch   1059, Loss  0.867205, Average Loss  0.871811, Time  0.171289
2021-09-11 11:44:42.690089 : Epoch  5, Batch   1060, Loss  0.876329, Average Loss  0.871819, Time  0.179818
2021-09-11 11:44:44.305342 : Epoch  5, Batch   1061, Loss  0.904825, Average Loss  0.871918, Time  0.173495
2021-09-11 11:44:45.908932 : Epoch  5, Batch   1062, Loss  0.867480, Average Loss  0.871872, Time  0.173838
2021-09-11 11:44:47.489866 : Epoch  5, Batch   1063, Loss  0.853338, Average Loss  0.871840, Time  0.174754
2021-09-11 11:44:49.105983 : Epoch  5, Batch   1064, Loss  0.863338, Average Loss  0.871844, Time  0.173012
2021-09-11 11:44:50.720019 : Epoch  5, Batch   1065, Loss  0.885693, Average Loss  0.871707, Time  0.172074
2021-09-11 11:44:52.323313 : Epoch  5, Batch   1066, Loss  0.866137, Average Loss  0.871632, Time  0.171891
2021-09-11 11:44:53.927295 : Epoch  5, Batch   1067, Loss  0.873296, Average Loss  0.871664, Time  0.175620
2021-09-11 11:44:55.537026 : Epoch  5, Batch   1068, Loss  0.868477, Average Loss  0.871600, Time  0.175220
2021-09-11 11:44:57.176292 : Epoch  5, Batch   1069, Loss  0.870471, Average Loss  0.871570, Time  0.172278
2021-09-11 11:44:58.799353 : Epoch  5, Batch   1070, Loss  0.860947, Average Loss  0.871538, Time  0.175468
2021-09-11 11:45:00.407077 : Epoch  5, Batch   1071, Loss  0.854302, Average Loss  0.871602, Time  0.179352
2021-09-11 11:45:02.011069 : Epoch  5, Batch   1072, Loss  0.861893, Average Loss  0.871534, Time  0.172914
2021-09-11 11:45:03.606084 : Epoch  5, Batch   1073, Loss  0.888103, Average Loss  0.871628, Time  0.171756
2021-09-11 11:45:05.198750 : Epoch  5, Batch   1074, Loss  0.863701, Average Loss  0.871448, Time  0.173023
2021-09-11 11:45:06.779052 : Epoch  5, Batch   1075, Loss  0.882947, Average Loss  0.871459, Time  0.170955
2021-09-11 11:45:08.389076 : Epoch  5, Batch   1076, Loss  0.844216, Average Loss  0.871267, Time  0.171282
2021-09-11 11:45:09.985088 : Epoch  5, Batch   1077, Loss  0.871162, Average Loss  0.871359, Time  0.171751
2021-09-11 11:45:11.585177 : Epoch  5, Batch   1078, Loss  0.878893, Average Loss  0.871457, Time  0.177999
2021-09-11 11:45:13.179820 : Epoch  5, Batch   1079, Loss  0.858782, Average Loss  0.871506, Time  0.174633
2021-09-11 11:45:14.782021 : Epoch  5, Batch   1080, Loss  0.858428, Average Loss  0.871539, Time  0.181411
2021-09-11 11:45:16.381234 : Epoch  5, Batch   1081, Loss  0.915961, Average Loss  0.871637, Time  0.171351
2021-09-11 11:45:17.960146 : Epoch  5, Batch   1082, Loss  0.886874, Average Loss  0.871621, Time  0.173456
2021-09-11 11:45:19.563841 : Epoch  5, Batch   1083, Loss  0.915858, Average Loss  0.871874, Time  0.176177
2021-09-11 11:45:21.170038 : Epoch  5, Batch   1084, Loss  0.895034, Average Loss  0.872057, Time  0.174510
2021-09-11 11:45:22.759339 : Epoch  5, Batch   1085, Loss  0.839889, Average Loss  0.871952, Time  0.179547
2021-09-11 11:45:24.369044 : Epoch  5, Batch   1086, Loss  0.860152, Average Loss  0.871956, Time  0.171274
2021-09-11 11:45:25.973211 : Epoch  5, Batch   1087, Loss  0.871888, Average Loss  0.872147, Time  0.170701
2021-09-11 11:45:27.567870 : Epoch  5, Batch   1088, Loss  0.839708, Average Loss  0.871846, Time  0.171154
2021-09-11 11:45:29.187086 : Epoch  5, Batch   1089, Loss  0.856082, Average Loss  0.871742, Time  0.174621
2021-09-11 11:45:30.764071 : Epoch  5, Batch   1090, Loss  0.861678, Average Loss  0.871560, Time  0.178571
2021-09-11 11:45:32.390741 : Epoch  5, Batch   1091, Loss  0.858284, Average Loss  0.871537, Time  0.176471
2021-09-11 11:45:34.035744 : Epoch  5, Batch   1092, Loss  0.878227, Average Loss  0.871651, Time  0.189366
2021-09-11 11:45:35.632539 : Epoch  5, Batch   1093, Loss  0.883017, Average Loss  0.871685, Time  0.171327
2021-09-11 11:45:37.281889 : Epoch  5, Batch   1094, Loss  0.858975, Average Loss  0.871670, Time  0.177141
2021-09-11 11:45:38.890777 : Epoch  5, Batch   1095, Loss  0.822340, Average Loss  0.871497, Time  0.170508
2021-09-11 11:45:40.490162 : Epoch  5, Batch   1096, Loss  0.872108, Average Loss  0.871471, Time  0.175723
2021-09-11 11:45:42.117031 : Epoch  5, Batch   1097, Loss  0.881144, Average Loss  0.871554, Time  0.170624
2021-09-11 11:45:43.737617 : Epoch  5, Batch   1098, Loss  0.876898, Average Loss  0.871546, Time  0.172626
2021-09-11 11:45:45.384032 : Epoch  5, Batch   1099, Loss  0.870675, Average Loss  0.871473, Time  0.172157
2021-09-11 11:45:46.061730 : CheckPoint: Validation Loss  0.00029545, Best Loss  0.00029019
2021-09-11 11:45:46.987258 : Epoch  5, Batch   1100, Loss  0.845066, Average Loss  0.871338, Time  0.177114
2021-09-11 11:45:48.564092 : Epoch  5, Batch   1101, Loss  0.885813, Average Loss  0.871350, Time  0.170137
2021-09-11 11:45:48.681436 : Epoch  4, Batch   1633, Loss  0.853392, Average Loss  0.869579, Time  0.270479
2021-09-11 11:45:50.142057 : Epoch  5, Batch   1102, Loss  0.854529, Average Loss  0.871201, Time  0.170278
2021-09-11 11:45:51.268314 : Epoch  4, Batch   1634, Loss  0.852491, Average Loss  0.869451, Time  0.244893
2021-09-11 11:45:51.744069 : Epoch  5, Batch   1103, Loss  0.890609, Average Loss  0.871298, Time  0.173381
2021-09-11 11:45:53.350033 : Epoch  5, Batch   1104, Loss  0.872006, Average Loss  0.871318, Time  0.171917
2021-09-11 11:45:53.862309 : Epoch  4, Batch   1635, Loss  0.844201, Average Loss  0.869356, Time  0.240172
2021-09-11 11:45:54.929163 : Epoch  5, Batch   1105, Loss  0.847654, Average Loss  0.871176, Time  0.171514
2021-09-11 11:45:56.450639 : Epoch  4, Batch   1636, Loss  0.879978, Average Loss  0.869370, Time  0.239042
2021-09-11 11:45:56.523141 : Epoch  5, Batch   1106, Loss  0.868714, Average Loss  0.871335, Time  0.174005
2021-09-11 11:45:58.131303 : Epoch  5, Batch   1107, Loss  0.872121, Average Loss  0.871383, Time  0.170453
2021-09-11 11:45:59.040624 : Epoch  4, Batch   1637, Loss  0.875261, Average Loss  0.869386, Time  0.238060
2021-09-11 11:45:59.733855 : Epoch  5, Batch   1108, Loss  0.844073, Average Loss  0.871280, Time  0.173592
2021-09-11 11:46:01.381110 : Epoch  5, Batch   1109, Loss  0.868615, Average Loss  0.871238, Time  0.171291
2021-09-11 11:46:01.630330 : Epoch  4, Batch   1638, Loss  0.854941, Average Loss  0.869313, Time  0.241793
2021-09-11 11:46:02.967381 : Epoch  5, Batch   1110, Loss  0.843279, Average Loss  0.870961, Time  0.171556
2021-09-11 11:46:04.218929 : Epoch  4, Batch   1639, Loss  0.850821, Average Loss  0.869141, Time  0.237833
2021-09-11 11:46:04.557053 : Epoch  5, Batch   1111, Loss  0.874881, Average Loss  0.870830, Time  0.170250
2021-09-11 11:46:06.180805 : Epoch  5, Batch   1112, Loss  0.850384, Average Loss  0.870680, Time  0.170665
2021-09-11 11:46:06.805176 : Epoch  4, Batch   1640, Loss  0.863415, Average Loss  0.868978, Time  0.238457
2021-09-11 11:46:07.812421 : Epoch  5, Batch   1113, Loss  0.870483, Average Loss  0.870733, Time  0.170406
2021-09-11 11:46:09.398093 : Epoch  4, Batch   1641, Loss  0.885241, Average Loss  0.868992, Time  0.237309
2021-09-11 11:46:09.412728 : Epoch  5, Batch   1114, Loss  0.861915, Average Loss  0.870613, Time  0.177778
2021-09-11 11:46:11.021294 : Epoch  5, Batch   1115, Loss  0.875425, Average Loss  0.870692, Time  0.171005
2021-09-11 11:46:11.998396 : Epoch  4, Batch   1642, Loss  0.866995, Average Loss  0.868903, Time  0.238258
2021-09-11 11:46:12.602102 : Epoch  5, Batch   1116, Loss  0.872491, Average Loss  0.870746, Time  0.171470
2021-09-11 11:46:14.224033 : Epoch  5, Batch   1117, Loss  0.860331, Average Loss  0.870601, Time  0.172785
2021-09-11 11:46:14.575615 : Epoch  4, Batch   1643, Loss  0.894308, Average Loss  0.868816, Time  0.237529
2021-09-11 11:46:15.852860 : Epoch  5, Batch   1118, Loss  0.857912, Average Loss  0.870634, Time  0.171820
2021-09-11 11:46:17.161040 : Epoch  4, Batch   1644, Loss  0.868281, Average Loss  0.868943, Time  0.238973
2021-09-11 11:46:17.434072 : Epoch  5, Batch   1119, Loss  0.884120, Average Loss  0.870642, Time  0.170483
2021-09-11 11:46:19.022179 : Epoch  5, Batch   1120, Loss  0.835948, Average Loss  0.870312, Time  0.171002
2021-09-11 11:46:19.747871 : Epoch  4, Batch   1645, Loss  0.881686, Average Loss  0.869041, Time  0.238945
2021-09-11 11:46:20.614964 : Epoch  5, Batch   1121, Loss  0.845231, Average Loss  0.870145, Time  0.172469
2021-09-11 11:46:22.194434 : Epoch  5, Batch   1122, Loss  0.866335, Average Loss  0.870151, Time  0.170001
2021-09-11 11:46:22.325035 : Epoch  4, Batch   1646, Loss  0.886726, Average Loss  0.869209, Time  0.238030
2021-09-11 11:46:23.791734 : Epoch  5, Batch   1123, Loss  0.869973, Average Loss  0.870230, Time  0.172166
2021-09-11 11:46:24.909380 : Epoch  4, Batch   1647, Loss  0.856139, Average Loss  0.869140, Time  0.238542
2021-09-11 11:46:25.383142 : Epoch  5, Batch   1124, Loss  0.876829, Average Loss  0.870136, Time  0.170574
2021-09-11 11:46:26.995732 : Epoch  5, Batch   1125, Loss  0.859109, Average Loss  0.869940, Time  0.171386
2021-09-11 11:46:27.496364 : Epoch  4, Batch   1648, Loss  0.889098, Average Loss  0.869176, Time  0.237482
2021-09-11 11:46:28.590857 : Epoch  5, Batch   1126, Loss  0.839947, Average Loss  0.869829, Time  0.173571
2021-09-11 11:46:30.081242 : Epoch  4, Batch   1649, Loss  0.864883, Average Loss  0.869152, Time  0.237629
2021-09-11 11:46:30.201944 : Epoch  5, Batch   1127, Loss  0.844812, Average Loss  0.869521, Time  0.171328
2021-09-11 11:46:31.817883 : Epoch  5, Batch   1128, Loss  0.872681, Average Loss  0.869471, Time  0.176968
2021-09-11 11:46:32.672096 : Epoch  4, Batch   1650, Loss  0.853703, Average Loss  0.869034, Time  0.238398
2021-09-11 11:46:33.411102 : Epoch  5, Batch   1129, Loss  0.862958, Average Loss  0.869262, Time  0.172989
2021-09-11 11:46:35.021092 : Epoch  5, Batch   1130, Loss  0.831074, Average Loss  0.869179, Time  0.173625
2021-09-11 11:46:35.247591 : Epoch  4, Batch   1651, Loss  0.856476, Average Loss  0.868989, Time  0.237433
2021-09-11 11:46:36.678037 : Epoch  5, Batch   1131, Loss  0.876527, Average Loss  0.869278, Time  0.170341
2021-09-11 11:46:37.833149 : Epoch  4, Batch   1652, Loss  0.864990, Average Loss  0.868928, Time  0.243373
2021-09-11 11:46:38.355160 : Epoch  5, Batch   1132, Loss  0.844311, Average Loss  0.869117, Time  0.170388
2021-09-11 11:46:39.966088 : Epoch  5, Batch   1133, Loss  0.873215, Average Loss  0.869136, Time  0.173238
2021-09-11 11:46:40.416663 : Epoch  4, Batch   1653, Loss  0.871368, Average Loss  0.869068, Time  0.237103
2021-09-11 11:46:41.545105 : Epoch  5, Batch   1134, Loss  0.893197, Average Loss  0.869112, Time  0.171120
2021-09-11 11:46:43.001083 : Epoch  4, Batch   1654, Loss  0.861132, Average Loss  0.869092, Time  0.238514
2021-09-11 11:46:43.179306 : Epoch  5, Batch   1135, Loss  0.855402, Average Loss  0.868898, Time  0.170756
2021-09-11 11:46:44.771397 : Epoch  5, Batch   1136, Loss  0.872940, Average Loss  0.868833, Time  0.169935
2021-09-11 11:46:45.580642 : Epoch  4, Batch   1655, Loss  0.878544, Average Loss  0.869165, Time  0.237326
2021-09-11 11:46:46.380896 : Epoch  5, Batch   1137, Loss  0.886317, Average Loss  0.868962, Time  0.172721
2021-09-11 11:46:47.997942 : Epoch  5, Batch   1138, Loss  0.853595, Average Loss  0.868951, Time  0.170204
2021-09-11 11:46:48.178099 : Epoch  4, Batch   1656, Loss  0.873939, Average Loss  0.869082, Time  0.239248
2021-09-11 11:46:49.603912 : Epoch  5, Batch   1139, Loss  0.869013, Average Loss  0.868904, Time  0.170639
2021-09-11 11:46:50.754328 : Epoch  4, Batch   1657, Loss  0.911392, Average Loss  0.869304, Time  0.237483
2021-09-11 11:46:51.243803 : Epoch  5, Batch   1140, Loss  0.876898, Average Loss  0.868978, Time  0.170045
2021-09-11 11:46:52.883437 : Epoch  5, Batch   1141, Loss  0.861104, Average Loss  0.869004, Time  0.170265
2021-09-11 11:46:53.354865 : Epoch  4, Batch   1658, Loss  0.877978, Average Loss  0.869265, Time  0.239808
2021-09-11 11:46:54.501095 : Epoch  5, Batch   1142, Loss  0.880074, Average Loss  0.869184, Time  0.169848
2021-09-11 11:46:55.959855 : Epoch  4, Batch   1659, Loss  0.860370, Average Loss  0.869222, Time  0.237639
2021-09-11 11:46:56.095055 : Epoch  5, Batch   1143, Loss  0.853827, Average Loss  0.869036, Time  0.172527
2021-09-11 11:46:57.710783 : Epoch  5, Batch   1144, Loss  0.863048, Average Loss  0.869071, Time  0.172961
2021-09-11 11:46:58.538723 : Epoch  4, Batch   1660, Loss  0.863296, Average Loss  0.869206, Time  0.238562
2021-09-11 11:46:59.317111 : Epoch  5, Batch   1145, Loss  0.879300, Average Loss  0.869045, Time  0.170898
2021-09-11 11:47:00.925495 : Epoch  5, Batch   1146, Loss  0.840392, Average Loss  0.868838, Time  0.173959
2021-09-11 11:47:01.128425 : Epoch  4, Batch   1661, Loss  0.881573, Average Loss  0.869342, Time  0.238428
2021-09-11 11:47:02.528027 : Epoch  5, Batch   1147, Loss  0.867727, Average Loss  0.868815, Time  0.177123
2021-09-11 11:47:03.711053 : Epoch  4, Batch   1662, Loss  0.871718, Average Loss  0.869406, Time  0.237530
2021-09-11 11:47:04.139214 : Epoch  5, Batch   1148, Loss  0.865094, Average Loss  0.868717, Time  0.170158
2021-09-11 11:47:05.754212 : Epoch  5, Batch   1149, Loss  0.853261, Average Loss  0.868555, Time  0.175924
2021-09-11 11:47:06.300952 : Epoch  4, Batch   1663, Loss  0.873393, Average Loss  0.869386, Time  0.237893
2021-09-11 11:47:07.414110 : Epoch  5, Batch   1150, Loss  0.852599, Average Loss  0.868445, Time  0.171178
2021-09-11 11:47:08.888818 : Epoch  4, Batch   1664, Loss  0.845872, Average Loss  0.869301, Time  0.238806
2021-09-11 11:47:09.032830 : Epoch  5, Batch   1151, Loss  0.838006, Average Loss  0.868256, Time  0.171894
2021-09-11 11:47:10.654984 : Epoch  5, Batch   1152, Loss  0.852296, Average Loss  0.868175, Time  0.174885
2021-09-11 11:47:11.467038 : Epoch  4, Batch   1665, Loss  0.873195, Average Loss  0.869322, Time  0.237889
2021-09-11 11:47:12.302772 : Epoch  5, Batch   1153, Loss  0.868435, Average Loss  0.868260, Time  0.171907
2021-09-11 11:47:13.915383 : Epoch  5, Batch   1154, Loss  0.870231, Average Loss  0.868339, Time  0.172467
2021-09-11 11:47:14.064371 : Epoch  4, Batch   1666, Loss  0.882878, Average Loss  0.869401, Time  0.238945
2021-09-11 11:47:15.518873 : Epoch  5, Batch   1155, Loss  0.852827, Average Loss  0.868356, Time  0.170577
2021-09-11 11:47:16.646856 : Epoch  4, Batch   1667, Loss  0.860093, Average Loss  0.869311, Time  0.237489
2021-09-11 11:47:19.233875 : Epoch  4, Batch   1668, Loss  0.886623, Average Loss  0.869359, Time  0.238522
2021-09-11 11:47:21.813889 : Epoch  4, Batch   1669, Loss  0.851803, Average Loss  0.869299, Time  0.237849
2021-09-11 11:47:22.623753 : Epoch  5, Batch   1156, Loss  0.892212, Average Loss  0.868600, Time  0.178337
2021-09-11 11:47:24.387529 : Epoch  4, Batch   1670, Loss  0.862878, Average Loss  0.869316, Time  0.237637
2021-09-11 11:47:26.964824 : Epoch  4, Batch   1671, Loss  0.868852, Average Loss  0.869350, Time  0.237797
2021-09-11 11:47:29.555402 : Epoch  4, Batch   1672, Loss  0.872730, Average Loss  0.869415, Time  0.237491
2021-09-11 11:47:32.136918 : Epoch  4, Batch   1673, Loss  0.872764, Average Loss  0.869484, Time  0.238596
2021-09-11 11:47:34.726373 : Epoch  4, Batch   1674, Loss  0.887450, Average Loss  0.869673, Time  0.237502
2021-09-11 11:47:37.311440 : Epoch  4, Batch   1675, Loss  0.864509, Average Loss  0.869610, Time  0.237504
2021-09-11 11:47:39.894417 : Epoch  4, Batch   1676, Loss  0.875946, Average Loss  0.869764, Time  0.237249
2021-09-11 11:47:42.477563 : Epoch  4, Batch   1677, Loss  0.872656, Average Loss  0.869803, Time  0.237107
2021-09-11 11:47:45.051234 : Epoch  4, Batch   1678, Loss  0.855227, Average Loss  0.869710, Time  0.238143
2021-09-11 11:47:47.632636 : Epoch  4, Batch   1679, Loss  0.862780, Average Loss  0.869780, Time  0.237351
2021-09-11 11:47:50.221162 : Epoch  4, Batch   1680, Loss  0.863127, Average Loss  0.869587, Time  0.237642
2021-09-11 11:47:52.802905 : Epoch  4, Batch   1681, Loss  0.848515, Average Loss  0.869498, Time  0.237878
2021-09-11 11:47:55.390662 : Epoch  4, Batch   1682, Loss  0.855563, Average Loss  0.869389, Time  0.237317
2021-09-11 11:47:58.000542 : Epoch  4, Batch   1683, Loss  0.876484, Average Loss  0.869454, Time  0.238267
2021-09-11 11:48:00.587799 : Epoch  4, Batch   1684, Loss  0.866636, Average Loss  0.869390, Time  0.238739
2021-09-11 11:48:03.174776 : Epoch  4, Batch   1685, Loss  0.898458, Average Loss  0.869589, Time  0.239661
2021-09-11 11:48:05.770404 : Epoch  4, Batch   1686, Loss  0.853479, Average Loss  0.869385, Time  0.237424
2021-09-11 11:48:08.354989 : Epoch  4, Batch   1687, Loss  0.874899, Average Loss  0.869392, Time  0.237632
2021-09-11 11:48:10.951058 : Epoch  4, Batch   1688, Loss  0.864925, Average Loss  0.869173, Time  0.242724
2021-09-11 11:48:13.547910 : Epoch  4, Batch   1689, Loss  0.880528, Average Loss  0.869290, Time  0.237378
2021-09-11 11:48:16.132894 : Epoch  4, Batch   1690, Loss  0.863349, Average Loss  0.869152, Time  0.238529
2021-09-11 11:48:18.720412 : Epoch  4, Batch   1691, Loss  0.867594, Average Loss  0.869069, Time  0.237413
2021-09-11 11:48:21.310929 : Epoch  4, Batch   1692, Loss  0.876295, Average Loss  0.869170, Time  0.238253
2021-09-11 11:48:23.896379 : Epoch  4, Batch   1693, Loss  0.884893, Average Loss  0.869171, Time  0.237602
2021-09-11 11:48:26.469628 : Epoch  4, Batch   1694, Loss  0.870933, Average Loss  0.869163, Time  0.237468
2021-09-11 11:48:29.045344 : Epoch  4, Batch   1695, Loss  0.873088, Average Loss  0.869115, Time  0.238776
2021-09-11 11:48:31.636716 : Epoch  4, Batch   1696, Loss  0.858850, Average Loss  0.868972, Time  0.237833
2021-09-11 11:48:34.223190 : Epoch  4, Batch   1697, Loss  0.868401, Average Loss  0.868954, Time  0.237208
2021-09-11 11:48:36.802811 : Epoch  4, Batch   1698, Loss  0.861439, Average Loss  0.868931, Time  0.238529
2021-09-11 11:48:39.381369 : Epoch  4, Batch   1699, Loss  0.889826, Average Loss  0.868975, Time  0.238286
2021-09-11 11:48:41.961101 : Epoch  4, Batch   1700, Loss  0.876316, Average Loss  0.869042, Time  0.237152
2021-09-11 11:48:44.540973 : Epoch  4, Batch   1701, Loss  0.881190, Average Loss  0.869146, Time  0.237560
2021-09-11 11:48:47.122883 : Epoch  4, Batch   1702, Loss  0.875811, Average Loss  0.869381, Time  0.238571
2021-09-11 11:48:49.700144 : Epoch  4, Batch   1703, Loss  0.853957, Average Loss  0.869357, Time  0.237312
2021-09-11 11:48:52.278687 : Epoch  4, Batch   1704, Loss  0.876590, Average Loss  0.869442, Time  0.239185
2021-09-11 11:48:54.863251 : Epoch  4, Batch   1705, Loss  0.870131, Average Loss  0.869401, Time  0.237189
2021-09-11 11:48:57.439216 : Epoch  4, Batch   1706, Loss  0.873158, Average Loss  0.869482, Time  0.238209
2021-09-11 11:49:00.032043 : Epoch  4, Batch   1707, Loss  0.841130, Average Loss  0.869387, Time  0.238071
2021-09-11 11:49:02.610802 : Epoch  4, Batch   1708, Loss  0.863807, Average Loss  0.869411, Time  0.237554
2021-09-11 11:49:05.189073 : Epoch  4, Batch   1709, Loss  0.877307, Average Loss  0.869331, Time  0.236997
2021-09-11 11:49:07.778258 : Epoch  4, Batch   1710, Loss  0.876341, Average Loss  0.869442, Time  0.238253
2021-09-11 11:49:10.358955 : Epoch  4, Batch   1711, Loss  0.865323, Average Loss  0.869406, Time  0.238257
2021-09-11 11:49:12.935236 : Epoch  4, Batch   1712, Loss  0.883794, Average Loss  0.869535, Time  0.237742
2021-09-11 11:49:15.520579 : Epoch  4, Batch   1713, Loss  0.847287, Average Loss  0.869327, Time  0.237498
2021-09-11 11:49:18.101118 : Epoch  4, Batch   1714, Loss  0.862800, Average Loss  0.869380, Time  0.238285
2021-09-11 11:49:20.676705 : Epoch  4, Batch   1715, Loss  0.844863, Average Loss  0.869286, Time  0.237229
2021-09-11 11:49:23.265022 : Epoch  4, Batch   1716, Loss  0.847489, Average Loss  0.869167, Time  0.239208
2021-09-11 11:49:25.845392 : Epoch  4, Batch   1717, Loss  0.874373, Average Loss  0.869239, Time  0.237765
2021-09-11 11:49:28.420028 : Epoch  4, Batch   1718, Loss  0.869970, Average Loss  0.869243, Time  0.237587
2021-09-11 11:49:31.007348 : Epoch  4, Batch   1719, Loss  0.859010, Average Loss  0.869199, Time  0.237708
2021-09-11 11:49:33.586886 : Epoch  4, Batch   1720, Loss  0.866334, Average Loss  0.869280, Time  0.237681
2021-09-11 11:49:36.170202 : Epoch  4, Batch   1721, Loss  0.859088, Average Loss  0.869250, Time  0.237147
2021-09-11 11:49:38.755041 : Epoch  4, Batch   1722, Loss  0.873610, Average Loss  0.869271, Time  0.238843
2021-09-11 11:49:41.347499 : Epoch  4, Batch   1723, Loss  0.856321, Average Loss  0.869265, Time  0.237144
2021-09-11 11:49:43.942774 : Epoch  4, Batch   1724, Loss  0.873623, Average Loss  0.869295, Time  0.241649
2021-09-11 11:49:46.524362 : Epoch  4, Batch   1725, Loss  0.860250, Average Loss  0.869363, Time  0.237492
2021-09-11 11:49:49.103105 : Epoch  4, Batch   1726, Loss  0.855634, Average Loss  0.869271, Time  0.237515
2021-09-11 11:49:51.680316 : Epoch  4, Batch   1727, Loss  0.848439, Average Loss  0.869098, Time  0.237587
2021-09-11 11:49:54.258978 : Epoch  4, Batch   1728, Loss  0.872050, Average Loss  0.869097, Time  0.237274
2021-09-11 11:49:56.847344 : Epoch  4, Batch   1729, Loss  0.876319, Average Loss  0.869184, Time  0.236805
2021-09-11 11:49:59.425559 : Epoch  4, Batch   1730, Loss  0.897333, Average Loss  0.869380, Time  0.240246
2021-09-11 11:50:02.009335 : Epoch  4, Batch   1731, Loss  0.888609, Average Loss  0.869512, Time  0.236969
2021-09-11 11:50:04.596993 : Epoch  4, Batch   1732, Loss  0.867500, Average Loss  0.869438, Time  0.237928
2021-09-11 11:52:03.920728 : CheckPoint: Validation Loss  0.00060378, Best Loss  0.00057296
2021-09-11 11:52:05.526877 : Epoch  5, Batch   1157, Loss  0.872724, Average Loss  0.868630, Time  0.176129
2021-09-11 11:52:07.101769 : Epoch  5, Batch   1158, Loss  0.851842, Average Loss  0.868358, Time  0.170289
2021-09-11 11:52:08.706206 : Epoch  5, Batch   1159, Loss  0.843864, Average Loss  0.868374, Time  0.174183
2021-09-11 11:52:10.312155 : Epoch  5, Batch   1160, Loss  0.866461, Average Loss  0.868341, Time  0.170744
2021-09-11 11:52:11.894097 : Epoch  5, Batch   1161, Loss  0.852791, Average Loss  0.868214, Time  0.170609
2021-09-11 11:52:13.478448 : Epoch  5, Batch   1162, Loss  0.900191, Average Loss  0.868431, Time  0.171117
2021-09-11 11:52:15.055084 : Epoch  5, Batch   1163, Loss  0.851013, Average Loss  0.868203, Time  0.173276
2021-09-11 11:52:16.655170 : Epoch  5, Batch   1164, Loss  0.853171, Average Loss  0.868069, Time  0.175802
2021-09-11 11:52:18.234136 : Epoch  5, Batch   1165, Loss  0.885372, Average Loss  0.868118, Time  0.171505
2021-09-11 11:52:19.809488 : Epoch  5, Batch   1166, Loss  0.880768, Average Loss  0.868254, Time  0.173408
2021-09-11 11:52:21.407766 : Epoch  5, Batch   1167, Loss  0.876250, Average Loss  0.868341, Time  0.170841
2021-09-11 11:52:22.983181 : Epoch  5, Batch   1168, Loss  0.858667, Average Loss  0.868232, Time  0.170505
2021-09-11 11:52:24.581092 : Epoch  5, Batch   1169, Loss  0.863120, Average Loss  0.868223, Time  0.173471
2021-09-11 11:52:26.199748 : Epoch  5, Batch   1170, Loss  0.872328, Average Loss  0.868290, Time  0.173489
2021-09-11 11:52:27.804782 : Epoch  5, Batch   1171, Loss  0.865471, Average Loss  0.868265, Time  0.170873
2021-09-11 11:52:29.415051 : Epoch  5, Batch   1172, Loss  0.865172, Average Loss  0.868133, Time  0.171095
2021-09-11 11:52:31.029207 : Epoch  5, Batch   1173, Loss  0.895110, Average Loss  0.868173, Time  0.177932
2021-09-11 11:52:32.625040 : Epoch  5, Batch   1174, Loss  0.861795, Average Loss  0.868004, Time  0.173505
2021-09-11 11:52:34.215868 : Epoch  5, Batch   1175, Loss  0.853803, Average Loss  0.867993, Time  0.179524
2021-09-11 11:52:35.817118 : Epoch  5, Batch   1176, Loss  0.844372, Average Loss  0.867929, Time  0.170295
2021-09-11 11:52:37.435956 : Epoch  5, Batch   1177, Loss  0.865853, Average Loss  0.867880, Time  0.170989
2021-09-11 11:52:39.033834 : Epoch  5, Batch   1178, Loss  0.869368, Average Loss  0.867903, Time  0.170811
2021-09-11 11:52:40.637253 : Epoch  5, Batch   1179, Loss  0.863555, Average Loss  0.867942, Time  0.175374
2021-09-11 11:52:42.250287 : Epoch  5, Batch   1180, Loss  0.883132, Average Loss  0.868034, Time  0.171272
2021-09-11 11:52:43.846319 : Epoch  5, Batch   1181, Loss  0.869003, Average Loss  0.868223, Time  0.176594
2021-09-11 11:52:45.439081 : Epoch  5, Batch   1182, Loss  0.849554, Average Loss  0.868288, Time  0.172702
2021-09-11 11:52:47.068940 : Epoch  5, Batch   1183, Loss  0.868808, Average Loss  0.868317, Time  0.175698
2021-09-11 11:52:48.670863 : Epoch  5, Batch   1184, Loss  0.844037, Average Loss  0.868260, Time  0.175296
2021-09-11 11:52:50.295919 : Epoch  5, Batch   1185, Loss  0.868671, Average Loss  0.868142, Time  0.171562
2021-09-11 11:52:51.913300 : Epoch  5, Batch   1186, Loss  0.876701, Average Loss  0.868194, Time  0.170832
2021-09-11 11:52:53.497218 : Epoch  5, Batch   1187, Loss  0.888059, Average Loss  0.868188, Time  0.170974
2021-09-11 11:52:55.122109 : Epoch  5, Batch   1188, Loss  0.890475, Average Loss  0.868238, Time  0.170748
2021-09-11 11:52:56.729279 : Epoch  5, Batch   1189, Loss  0.869333, Average Loss  0.868386, Time  0.171113
2021-09-11 11:52:58.339099 : Epoch  5, Batch   1190, Loss  0.846176, Average Loss  0.868306, Time  0.172967
2021-09-11 11:52:59.970884 : Epoch  5, Batch   1191, Loss  0.868819, Average Loss  0.868210, Time  0.173500
2021-09-11 11:53:01.575067 : Epoch  5, Batch   1192, Loss  0.843004, Average Loss  0.868086, Time  0.173730
2021-09-11 11:53:03.163931 : Epoch  5, Batch   1193, Loss  0.869551, Average Loss  0.868107, Time  0.171163
2021-09-11 11:53:04.822855 : Epoch  5, Batch   1194, Loss  0.868986, Average Loss  0.868294, Time  0.171924
2021-09-11 11:53:06.445837 : Epoch  5, Batch   1195, Loss  0.880790, Average Loss  0.868329, Time  0.170629
2021-09-11 11:53:08.055053 : Epoch  5, Batch   1196, Loss  0.863903, Average Loss  0.868231, Time  0.176774
2021-09-11 11:53:09.669084 : Epoch  5, Batch   1197, Loss  0.873931, Average Loss  0.868220, Time  0.176103
2021-09-11 11:53:11.252750 : Epoch  5, Batch   1198, Loss  0.865095, Average Loss  0.868101, Time  0.170780
2021-09-11 11:53:12.860268 : Epoch  5, Batch   1199, Loss  0.834815, Average Loss  0.867963, Time  0.170570
2021-09-11 11:53:14.454781 : Epoch  5, Batch   1200, Loss  0.866105, Average Loss  0.867960, Time  0.174550
2021-09-11 11:53:16.056978 : Epoch  5, Batch   1201, Loss  0.888032, Average Loss  0.868149, Time  0.172544
2021-09-11 11:53:17.664826 : Epoch  5, Batch   1202, Loss  0.876422, Average Loss  0.868258, Time  0.177459
2021-09-11 11:53:19.279774 : Epoch  5, Batch   1203, Loss  0.879653, Average Loss  0.868456, Time  0.172052
2021-09-11 11:53:20.874808 : Epoch  5, Batch   1204, Loss  0.874416, Average Loss  0.868685, Time  0.170480
2021-09-11 11:53:22.455613 : Epoch  5, Batch   1205, Loss  0.823946, Average Loss  0.868558, Time  0.170570
2021-09-11 11:53:24.072810 : Epoch  5, Batch   1206, Loss  0.847637, Average Loss  0.868453, Time  0.170543
2021-09-11 11:53:25.671417 : Epoch  5, Batch   1207, Loss  0.858636, Average Loss  0.868395, Time  0.170832
2021-09-11 11:53:27.273295 : Epoch  5, Batch   1208, Loss  0.838558, Average Loss  0.868251, Time  0.172963
2021-09-11 11:53:28.890853 : Epoch  5, Batch   1209, Loss  0.881434, Average Loss  0.868299, Time  0.170337
2021-09-11 11:53:30.515754 : Epoch  5, Batch   1210, Loss  0.864589, Average Loss  0.868166, Time  0.174029
2021-09-11 11:53:32.121770 : Epoch  5, Batch   1211, Loss  0.869203, Average Loss  0.867975, Time  0.170338
2021-09-11 11:53:33.725890 : Epoch  5, Batch   1212, Loss  0.828776, Average Loss  0.867735, Time  0.170313
2021-09-11 11:53:35.349770 : Epoch  5, Batch   1213, Loss  0.881149, Average Loss  0.867712, Time  0.170187
2021-09-11 11:53:36.958321 : Epoch  5, Batch   1214, Loss  0.844801, Average Loss  0.867504, Time  0.170636
2021-09-11 11:53:38.567930 : Epoch  5, Batch   1215, Loss  0.869812, Average Loss  0.867333, Time  0.172014
2021-09-11 11:53:40.176230 : Epoch  5, Batch   1216, Loss  0.843151, Average Loss  0.867252, Time  0.170633
2021-09-11 11:53:41.768062 : Epoch  5, Batch   1217, Loss  0.879723, Average Loss  0.867331, Time  0.170511
2021-09-11 11:53:43.364787 : Epoch  5, Batch   1218, Loss  0.846984, Average Loss  0.867161, Time  0.170480
2021-09-11 11:53:45.000245 : Epoch  5, Batch   1219, Loss  0.857873, Average Loss  0.867094, Time  0.172566
2021-09-11 11:53:46.592143 : Epoch  5, Batch   1220, Loss  0.866051, Average Loss  0.867159, Time  0.170277
2021-09-11 11:53:48.220898 : Epoch  5, Batch   1221, Loss  0.856203, Average Loss  0.867049, Time  0.176139
2021-09-11 11:53:49.843079 : Epoch  5, Batch   1222, Loss  0.871882, Average Loss  0.866988, Time  0.171088
2021-09-11 11:53:51.439798 : Epoch  5, Batch   1223, Loss  0.873258, Average Loss  0.866943, Time  0.171230
2021-09-11 11:53:53.027750 : Epoch  5, Batch   1224, Loss  0.862150, Average Loss  0.866855, Time  0.177768
2021-09-11 11:53:54.612808 : Epoch  5, Batch   1225, Loss  0.873314, Average Loss  0.866896, Time  0.173568
2021-09-11 11:53:56.245749 : Epoch  5, Batch   1226, Loss  0.852233, Average Loss  0.866745, Time  0.173547
2021-09-11 11:53:57.852740 : Epoch  5, Batch   1227, Loss  0.930118, Average Loss  0.867136, Time  0.172540
2021-09-11 11:53:59.451830 : Epoch  5, Batch   1228, Loss  0.851666, Average Loss  0.866984, Time  0.174096
2021-09-11 11:54:01.064033 : Epoch  5, Batch   1229, Loss  0.885145, Average Loss  0.867054, Time  0.176899
2021-09-11 11:54:02.675042 : Epoch  5, Batch   1230, Loss  0.856172, Average Loss  0.866931, Time  0.170157
2021-09-11 11:54:04.271799 : Epoch  5, Batch   1231, Loss  0.883404, Average Loss  0.866986, Time  0.170253
2021-09-11 11:54:05.873065 : Epoch  5, Batch   1232, Loss  0.855895, Average Loss  0.866813, Time  0.171757
2021-09-11 11:54:07.483058 : Epoch  5, Batch   1233, Loss  0.896587, Average Loss  0.866807, Time  0.169919
2021-09-11 11:54:07.797760 : CheckPoint: Validation Loss  0.00030021, Best Loss  0.00029019
2021-09-11 11:54:09.069048 : Epoch  5, Batch   1234, Loss  0.886601, Average Loss  0.866816, Time  0.170794
2021-09-11 11:54:10.422294 : Epoch  4, Batch   1733, Loss  0.873535, Average Loss  0.869457, Time  0.276717
2021-09-11 11:54:10.666758 : Epoch  5, Batch   1235, Loss  0.875068, Average Loss  0.866840, Time  0.170139
2021-09-11 11:54:12.250203 : Epoch  5, Batch   1236, Loss  0.873218, Average Loss  0.866835, Time  0.171200
2021-09-11 11:54:13.021937 : Epoch  4, Batch   1734, Loss  0.860810, Average Loss  0.869393, Time  0.251569
2021-09-11 11:54:13.844032 : Epoch  5, Batch   1237, Loss  0.859494, Average Loss  0.866777, Time  0.173561
2021-09-11 11:54:15.450793 : Epoch  5, Batch   1238, Loss  0.897963, Average Loss  0.866827, Time  0.171058
2021-09-11 11:54:15.620314 : Epoch  4, Batch   1735, Loss  0.872469, Average Loss  0.869357, Time  0.237409
2021-09-11 11:54:17.067769 : Epoch  5, Batch   1239, Loss  0.882828, Average Loss  0.866805, Time  0.173450
2021-09-11 11:54:18.208358 : Epoch  4, Batch   1736, Loss  0.883092, Average Loss  0.869506, Time  0.237251
2021-09-11 11:54:18.671742 : Epoch  5, Batch   1240, Loss  0.887203, Average Loss  0.866943, Time  0.171097
2021-09-11 11:54:20.279893 : Epoch  5, Batch   1241, Loss  0.871188, Average Loss  0.867048, Time  0.170418
2021-09-11 11:54:20.803051 : Epoch  4, Batch   1737, Loss  0.873662, Average Loss  0.869560, Time  0.238313
2021-09-11 11:54:21.863798 : Epoch  5, Batch   1242, Loss  0.874767, Average Loss  0.867183, Time  0.174882
2021-09-11 11:54:23.402556 : Epoch  4, Batch   1738, Loss  0.856407, Average Loss  0.869480, Time  0.238191
2021-09-11 11:54:23.451094 : Epoch  5, Batch   1243, Loss  0.873663, Average Loss  0.867268, Time  0.171207
2021-09-11 11:54:25.036846 : Epoch  5, Batch   1244, Loss  0.857985, Average Loss  0.867128, Time  0.170525
2021-09-11 11:54:25.982888 : Epoch  4, Batch   1739, Loss  0.861270, Average Loss  0.869422, Time  0.236984
2021-09-11 11:54:26.632947 : Epoch  5, Batch   1245, Loss  0.885544, Average Loss  0.867081, Time  0.174225
2021-09-11 11:54:28.222866 : Epoch  5, Batch   1246, Loss  0.867131, Average Loss  0.867138, Time  0.171962
2021-09-11 11:54:28.579707 : Epoch  4, Batch   1740, Loss  0.878684, Average Loss  0.869444, Time  0.238027
2021-09-11 11:54:29.836036 : Epoch  5, Batch   1247, Loss  0.858769, Average Loss  0.866972, Time  0.173719
2021-09-11 11:54:31.183557 : Epoch  4, Batch   1741, Loss  0.877314, Average Loss  0.869568, Time  0.238221
2021-09-11 11:54:31.439800 : Epoch  5, Batch   1248, Loss  0.847454, Average Loss  0.866703, Time  0.170164
2021-09-11 11:54:33.016988 : Epoch  5, Batch   1249, Loss  0.877328, Average Loss  0.866710, Time  0.170142
2021-09-11 11:54:33.780316 : Epoch  4, Batch   1742, Loss  0.866752, Average Loss  0.869596, Time  0.238605
2021-09-11 11:54:34.589863 : Epoch  5, Batch   1250, Loss  0.879047, Average Loss  0.866853, Time  0.171420
2021-09-11 11:54:36.166891 : Epoch  5, Batch   1251, Loss  0.840126, Average Loss  0.866712, Time  0.173815
2021-09-11 11:54:36.366793 : Epoch  4, Batch   1743, Loss  0.866864, Average Loss  0.869687, Time  0.240154
2021-09-11 11:54:37.741038 : Epoch  5, Batch   1252, Loss  0.838528, Average Loss  0.866474, Time  0.171453
2021-09-11 11:54:38.952162 : Epoch  4, Batch   1744, Loss  0.859437, Average Loss  0.869580, Time  0.237928
2021-09-11 11:54:39.342051 : Epoch  5, Batch   1253, Loss  0.884856, Average Loss  0.866564, Time  0.178817
2021-09-11 11:54:40.931936 : Epoch  5, Batch   1254, Loss  0.864796, Average Loss  0.866463, Time  0.172742
2021-09-11 11:54:41.543893 : Epoch  4, Batch   1745, Loss  0.869089, Average Loss  0.869564, Time  0.237774
2021-09-11 11:54:42.522761 : Epoch  5, Batch   1255, Loss  0.859006, Average Loss  0.866374, Time  0.171118
2021-09-11 11:54:44.129087 : Epoch  5, Batch   1256, Loss  0.916305, Average Loss  0.866706, Time  0.171899
2021-09-11 11:54:46.703889 : Epoch  4, Batch   1747, Loss  0.887916, Average Loss  0.869859, Time  0.237779
2021-09-11 11:54:49.301394 : Epoch  4, Batch   1748, Loss  0.862372, Average Loss  0.869866, Time  0.237922
2021-09-11 11:54:51.888115 : Epoch  4, Batch   1749, Loss  0.883300, Average Loss  0.869894, Time  0.238406
2021-09-11 11:54:54.464592 : Epoch  4, Batch   1750, Loss  0.904805, Average Loss  0.870091, Time  0.237320
2021-09-11 11:54:57.065296 : Epoch  4, Batch   1751, Loss  0.872351, Average Loss  0.870081, Time  0.237407
2021-09-11 11:54:59.663563 : Epoch  4, Batch   1752, Loss  0.850441, Average Loss  0.870000, Time  0.237079
2021-09-11 11:55:02.253254 : Epoch  4, Batch   1753, Loss  0.867010, Average Loss  0.869930, Time  0.237348
2021-09-11 11:55:04.856931 : Epoch  4, Batch   1754, Loss  0.870124, Average Loss  0.869997, Time  0.237502
2021-09-11 11:55:07.442966 : Epoch  4, Batch   1755, Loss  0.875127, Average Loss  0.870076, Time  0.237424
2021-09-11 11:55:10.034620 : Epoch  4, Batch   1756, Loss  0.875121, Average Loss  0.870135, Time  0.238826
2021-09-11 11:55:12.625857 : Epoch  4, Batch   1757, Loss  0.885508, Average Loss  0.870227, Time  0.238218
2021-09-11 11:55:15.226388 : Epoch  4, Batch   1758, Loss  0.888719, Average Loss  0.870288, Time  0.241066
2021-09-11 11:55:17.811235 : Epoch  4, Batch   1759, Loss  0.877713, Average Loss  0.870297, Time  0.240520
2021-09-11 11:55:20.401993 : Epoch  4, Batch   1760, Loss  0.869080, Average Loss  0.870345, Time  0.237675
2021-09-11 11:55:22.982120 : Epoch  4, Batch   1761, Loss  0.891348, Average Loss  0.870455, Time  0.237750
2021-09-11 11:55:25.561054 : Epoch  4, Batch   1762, Loss  0.880701, Average Loss  0.870515, Time  0.237922
2021-09-11 11:55:28.147888 : Epoch  4, Batch   1763, Loss  0.873935, Average Loss  0.870613, Time  0.237838
2021-09-11 11:55:30.729990 : Epoch  4, Batch   1764, Loss  0.876452, Average Loss  0.870639, Time  0.237689
2021-09-11 11:55:33.312067 : Epoch  4, Batch   1765, Loss  0.876713, Average Loss  0.870621, Time  0.238372
2021-09-11 11:55:35.894243 : Epoch  4, Batch   1766, Loss  0.856469, Average Loss  0.870571, Time  0.241412
2021-09-11 11:55:38.473590 : Epoch  4, Batch   1767, Loss  0.854012, Average Loss  0.870434, Time  0.237324
2021-09-11 11:55:41.059033 : Epoch  4, Batch   1768, Loss  0.858515, Average Loss  0.870427, Time  0.238014
2021-09-11 11:55:43.648441 : Epoch  4, Batch   1769, Loss  0.875640, Average Loss  0.870545, Time  0.237530
2021-09-11 11:55:46.239821 : Epoch  4, Batch   1770, Loss  0.869369, Average Loss  0.870492, Time  0.237865
2021-09-11 11:55:48.858299 : Epoch  4, Batch   1771, Loss  0.848393, Average Loss  0.870402, Time  0.237810
2021-09-11 11:55:51.463409 : Epoch  4, Batch   1772, Loss  0.878516, Average Loss  0.870472, Time  0.237622
2021-09-11 11:55:54.056826 : Epoch  4, Batch   1773, Loss  0.886589, Average Loss  0.870592, Time  0.237791
2021-09-11 11:55:56.639880 : Epoch  4, Batch   1774, Loss  0.878925, Average Loss  0.870592, Time  0.237571
2021-09-11 11:55:59.232782 : Epoch  4, Batch   1775, Loss  0.866495, Average Loss  0.870481, Time  0.240768
2021-09-11 11:56:01.836096 : Epoch  4, Batch   1776, Loss  0.877999, Average Loss  0.870440, Time  0.237623
2021-09-11 11:56:04.424005 : Epoch  4, Batch   1777, Loss  0.867847, Average Loss  0.870375, Time  0.237267
2021-09-11 11:56:07.003083 : Epoch  4, Batch   1778, Loss  0.850151, Average Loss  0.870091, Time  0.237114
2021-09-11 11:56:09.612413 : Epoch  4, Batch   1779, Loss  0.858280, Average Loss  0.870033, Time  0.238282
2021-09-11 11:56:12.250986 : Epoch  4, Batch   1780, Loss  0.865588, Average Loss  0.870008, Time  0.242287
2021-09-11 11:56:14.880776 : Epoch  4, Batch   1781, Loss  0.879670, Average Loss  0.870126, Time  0.239776
2021-09-11 11:56:17.463716 : Epoch  4, Batch   1782, Loss  0.890301, Average Loss  0.870302, Time  0.237566
2021-09-11 11:56:20.053643 : Epoch  4, Batch   1783, Loss  0.851026, Average Loss  0.870345, Time  0.237609
2021-09-11 11:56:22.651985 : Epoch  4, Batch   1784, Loss  0.865459, Average Loss  0.870407, Time  0.237999
2021-09-11 11:56:25.241745 : Epoch  4, Batch   1785, Loss  0.883670, Average Loss  0.870322, Time  0.237597
2021-09-11 11:56:27.819001 : Epoch  4, Batch   1786, Loss  0.841225, Average Loss  0.870178, Time  0.238775
2021-09-11 11:56:30.429038 : Epoch  4, Batch   1787, Loss  0.877229, Average Loss  0.870207, Time  0.237176
2021-09-11 11:56:33.054888 : Epoch  4, Batch   1788, Loss  0.898828, Average Loss  0.870426, Time  0.240532
2021-09-11 11:56:35.669068 : Epoch  4, Batch   1789, Loss  0.865291, Average Loss  0.870455, Time  0.255590
2021-09-11 11:56:38.275039 : Epoch  4, Batch   1790, Loss  0.850734, Average Loss  0.870418, Time  0.238297
2021-09-11 11:56:40.864630 : Epoch  4, Batch   1791, Loss  0.885757, Average Loss  0.870469, Time  0.242648
2021-09-11 11:56:43.449438 : Epoch  4, Batch   1792, Loss  0.860942, Average Loss  0.870302, Time  0.237994
2021-09-11 11:56:46.040237 : Epoch  4, Batch   1793, Loss  0.891611, Average Loss  0.870368, Time  0.240663
2021-09-11 11:56:48.647009 : Epoch  4, Batch   1794, Loss  0.871175, Average Loss  0.870400, Time  0.238124
2021-09-11 11:56:51.239133 : Epoch  4, Batch   1795, Loss  0.895181, Average Loss  0.870542, Time  0.237467
2021-09-11 11:56:53.829916 : Epoch  4, Batch   1796, Loss  0.863927, Average Loss  0.870415, Time  0.239034
2021-09-11 11:56:56.423889 : Epoch  4, Batch   1797, Loss  0.878653, Average Loss  0.870447, Time  0.237924
2021-09-11 11:56:59.012997 : Epoch  4, Batch   1798, Loss  0.880194, Average Loss  0.870359, Time  0.237640
2021-09-11 11:57:01.597412 : Epoch  4, Batch   1799, Loss  0.890455, Average Loss  0.870526, Time  0.237352
2021-09-11 11:57:04.183129 : Epoch  4, Batch   1800, Loss  0.875044, Average Loss  0.870588, Time  0.238850
2021-09-11 11:57:06.769870 : Epoch  4, Batch   1801, Loss  0.875531, Average Loss  0.870612, Time  0.238811
2021-09-11 11:57:09.363987 : Epoch  4, Batch   1802, Loss  0.882796, Average Loss  0.870613, Time  0.237994
2021-09-11 11:57:11.949212 : Epoch  4, Batch   1803, Loss  0.887831, Average Loss  0.870625, Time  0.237674
2021-09-11 11:57:14.538961 : Epoch  4, Batch   1804, Loss  0.872134, Average Loss  0.870626, Time  0.237289
2021-09-11 11:57:17.121017 : Epoch  4, Batch   1805, Loss  0.904504, Average Loss  0.870820, Time  0.237277
2021-09-11 11:57:19.708910 : Epoch  4, Batch   1806, Loss  0.884454, Average Loss  0.870944, Time  0.237825
2021-09-11 11:57:22.300891 : Epoch  4, Batch   1807, Loss  0.857197, Average Loss  0.870989, Time  0.241149
2021-09-11 11:57:24.890941 : Epoch  4, Batch   1808, Loss  0.868492, Average Loss  0.871130, Time  0.238378
2021-09-11 11:57:27.473066 : Epoch  4, Batch   1809, Loss  0.870818, Average Loss  0.871121, Time  0.237662
2021-09-11 11:57:30.058111 : Epoch  4, Batch   1810, Loss  0.873520, Average Loss  0.871119, Time  0.237893
2021-09-11 11:57:32.643353 : Epoch  4, Batch   1811, Loss  0.855838, Average Loss  0.870977, Time  0.239394
2021-09-11 11:57:35.227372 : Epoch  4, Batch   1812, Loss  0.882221, Average Loss  0.870973, Time  0.237522
2021-09-11 11:57:37.814852 : Epoch  4, Batch   1813, Loss  0.872024, Average Loss  0.871043, Time  0.238917
2021-09-11 11:57:40.420073 : Epoch  4, Batch   1814, Loss  0.862312, Average Loss  0.870984, Time  0.239245
2021-09-11 11:57:43.010956 : Epoch  4, Batch   1815, Loss  0.892264, Average Loss  0.871073, Time  0.237814
2021-09-11 11:57:45.632113 : Epoch  4, Batch   1816, Loss  0.858293, Average Loss  0.871016, Time  0.238682
2021-09-11 11:57:48.253008 : Epoch  4, Batch   1817, Loss  0.858760, Average Loss  0.870880, Time  0.238267
2021-09-11 11:57:50.843077 : Epoch  4, Batch   1818, Loss  0.857444, Average Loss  0.870796, Time  0.237474
2021-09-11 11:57:53.448588 : Epoch  4, Batch   1819, Loss  0.878559, Average Loss  0.870967, Time  0.238802
2021-09-11 11:57:56.035897 : Epoch  4, Batch   1820, Loss  0.874951, Average Loss  0.870975, Time  0.237909
2021-09-11 11:57:58.628845 : Epoch  4, Batch   1821, Loss  0.882900, Average Loss  0.870989, Time  0.238849
2021-09-11 11:58:01.234812 : Epoch  4, Batch   1822, Loss  0.863936, Average Loss  0.870932, Time  0.242810
2021-09-11 11:58:03.823975 : Epoch  4, Batch   1823, Loss  0.861946, Average Loss  0.870936, Time  0.238314
2021-09-11 11:58:06.407403 : Epoch  4, Batch   1824, Loss  0.870902, Average Loss  0.870893, Time  0.237506
2021-09-11 11:58:08.991016 : Epoch  4, Batch   1825, Loss  0.855467, Average Loss  0.870745, Time  0.237501
2021-09-11 11:58:11.560006 : Epoch  4, Batch   1826, Loss  0.864017, Average Loss  0.870577, Time  0.238499
2021-09-11 11:58:14.160049 : Epoch  4, Batch   1827, Loss  0.859570, Average Loss  0.870483, Time  0.238348
2021-09-11 11:58:16.745032 : Epoch  4, Batch   1828, Loss  0.854737, Average Loss  0.870445, Time  0.237847
2021-09-11 11:58:19.325185 : Epoch  4, Batch   1829, Loss  0.870595, Average Loss  0.870535, Time  0.237298
2021-09-11 11:58:21.905924 : Epoch  4, Batch   1830, Loss  0.863397, Average Loss  0.870452, Time  0.237350
2021-09-11 11:58:24.489515 : Epoch  4, Batch   1831, Loss  0.862904, Average Loss  0.870251, Time  0.237576
2021-09-11 11:58:27.067842 : Epoch  4, Batch   1832, Loss  0.860417, Average Loss  0.870280, Time  0.237513
2021-09-11 11:59:24.218729 : CheckPoint: Validation Loss  0.00061602, Best Loss  0.00057296
2021-09-11 11:59:25.833835 : Epoch  5, Batch   1257, Loss  0.845189, Average Loss  0.866578, Time  0.184076
2021-09-11 11:59:27.433785 : Epoch  5, Batch   1258, Loss  0.860856, Average Loss  0.866489, Time  0.174757
2021-09-11 11:59:29.048850 : Epoch  5, Batch   1259, Loss  0.860571, Average Loss  0.866455, Time  0.171268
2021-09-11 11:59:30.636752 : Epoch  5, Batch   1260, Loss  0.854731, Average Loss  0.866347, Time  0.174145
2021-09-11 11:59:32.224825 : Epoch  5, Batch   1261, Loss  0.883659, Average Loss  0.866242, Time  0.172063
2021-09-11 11:59:33.812084 : Epoch  5, Batch   1262, Loss  0.877759, Average Loss  0.866293, Time  0.170906
2021-09-11 11:59:35.383036 : Epoch  5, Batch   1263, Loss  0.847468, Average Loss  0.866264, Time  0.170351
2021-09-11 11:59:36.974513 : Epoch  5, Batch   1264, Loss  0.845256, Average Loss  0.866173, Time  0.170247
2021-09-11 11:59:38.560041 : Epoch  5, Batch   1265, Loss  0.842247, Average Loss  0.865956, Time  0.174048
2021-09-11 11:59:40.157933 : Epoch  5, Batch   1266, Loss  0.865597, Average Loss  0.865953, Time  0.170382
2021-09-11 11:59:41.734037 : Epoch  5, Batch   1267, Loss  0.883287, Average Loss  0.866003, Time  0.172392
2021-09-11 11:59:43.338038 : Epoch  5, Batch   1268, Loss  0.868108, Average Loss  0.866001, Time  0.171917
2021-09-11 11:59:44.925026 : Epoch  5, Batch   1269, Loss  0.850010, Average Loss  0.865899, Time  0.170193
2021-09-11 11:59:46.531028 : Epoch  5, Batch   1270, Loss  0.869003, Average Loss  0.865939, Time  0.170093
2021-09-11 11:59:48.119790 : Epoch  5, Batch   1271, Loss  0.872242, Average Loss  0.866029, Time  0.170490
2021-09-11 11:59:49.686745 : Epoch  5, Batch   1272, Loss  0.883946, Average Loss  0.866139, Time  0.171078
2021-09-11 11:59:51.294099 : Epoch  5, Batch   1273, Loss  0.858798, Average Loss  0.865993, Time  0.180268
2021-09-11 11:59:52.870846 : Epoch  5, Batch   1274, Loss  0.853649, Average Loss  0.865943, Time  0.176346
2021-09-11 11:59:54.479146 : Epoch  5, Batch   1275, Loss  0.862846, Average Loss  0.865842, Time  0.176539
2021-09-11 11:59:56.067758 : Epoch  5, Batch   1276, Loss  0.895723, Average Loss  0.866100, Time  0.171176
2021-09-11 11:59:57.657840 : Epoch  5, Batch   1277, Loss  0.854941, Average Loss  0.866018, Time  0.170379
2021-09-11 11:59:59.234814 : Epoch  5, Batch   1278, Loss  0.850955, Average Loss  0.865879, Time  0.170449
2021-09-11 12:00:00.835832 : Epoch  5, Batch   1279, Loss  0.891356, Average Loss  0.866042, Time  0.170382
2021-09-11 12:00:02.474783 : Epoch  5, Batch   1280, Loss  0.866885, Average Loss  0.866084, Time  0.175875
2021-09-11 12:00:04.064045 : Epoch  5, Batch   1281, Loss  0.870258, Average Loss  0.865855, Time  0.170004
2021-09-11 12:00:05.648085 : Epoch  5, Batch   1282, Loss  0.856183, Average Loss  0.865702, Time  0.172264
2021-09-11 12:00:07.241087 : Epoch  5, Batch   1283, Loss  0.852994, Average Loss  0.865388, Time  0.170863
2021-09-11 12:00:08.825897 : Epoch  5, Batch   1284, Loss  0.852617, Average Loss  0.865176, Time  0.170495
2021-09-11 12:00:10.422050 : Epoch  5, Batch   1285, Loss  0.847436, Average Loss  0.865213, Time  0.177090
2021-09-11 12:00:11.998088 : Epoch  5, Batch   1286, Loss  0.850818, Average Loss  0.865167, Time  0.173140
2021-09-11 12:00:13.557952 : Epoch  5, Batch   1287, Loss  0.887179, Average Loss  0.865243, Time  0.171064
2021-09-11 12:00:15.133770 : Epoch  5, Batch   1288, Loss  0.877191, Average Loss  0.865431, Time  0.170326
2021-09-11 12:00:16.742023 : Epoch  5, Batch   1289, Loss  0.891394, Average Loss  0.865607, Time  0.171140
2021-09-11 12:00:18.349779 : Epoch  5, Batch   1290, Loss  0.903002, Average Loss  0.865814, Time  0.173600
2021-09-11 12:00:19.938044 : Epoch  5, Batch   1291, Loss  0.855583, Average Loss  0.865800, Time  0.173976
2021-09-11 12:00:21.537043 : Epoch  5, Batch   1292, Loss  0.895286, Average Loss  0.865885, Time  0.179389
2021-09-11 12:00:23.139738 : Epoch  5, Batch   1293, Loss  0.907878, Average Loss  0.866010, Time  0.170429
2021-09-11 12:00:24.777036 : Epoch  5, Batch   1294, Loss  0.880382, Average Loss  0.866117, Time  0.171248
2021-09-11 12:00:26.365041 : Epoch  5, Batch   1295, Loss  0.848942, Average Loss  0.866250, Time  0.171016
2021-09-11 12:00:27.959786 : Epoch  5, Batch   1296, Loss  0.860093, Average Loss  0.866190, Time  0.170807
2021-09-11 12:00:29.548826 : Epoch  5, Batch   1297, Loss  0.868697, Average Loss  0.866128, Time  0.177603
2021-09-11 12:00:31.126909 : Epoch  5, Batch   1298, Loss  0.879259, Average Loss  0.866139, Time  0.170316
2021-09-11 12:00:32.818053 : Epoch  5, Batch   1299, Loss  0.881389, Average Loss  0.866193, Time  0.170299
2021-09-11 12:00:34.407756 : Epoch  5, Batch   1300, Loss  0.854229, Average Loss  0.866239, Time  0.173398
2021-09-11 12:00:35.991079 : Epoch  5, Batch   1301, Loss  0.851210, Average Loss  0.866066, Time  0.171559
2021-09-11 12:00:37.592756 : Epoch  5, Batch   1302, Loss  0.865293, Average Loss  0.866120, Time  0.171842
2021-09-11 12:00:39.204050 : Epoch  5, Batch   1303, Loss  0.840728, Average Loss  0.865870, Time  0.171459
2021-09-11 12:00:40.776858 : Epoch  5, Batch   1304, Loss  0.894154, Average Loss  0.865981, Time  0.170801
2021-09-11 12:00:42.366778 : Epoch  5, Batch   1305, Loss  0.891802, Average Loss  0.866202, Time  0.170084
2021-09-11 12:00:43.965054 : Epoch  5, Batch   1306, Loss  0.850834, Average Loss  0.866112, Time  0.171690
2021-09-11 12:00:45.551032 : Epoch  5, Batch   1307, Loss  0.862915, Average Loss  0.866066, Time  0.171320
2021-09-11 12:00:47.166042 : Epoch  5, Batch   1308, Loss  0.853109, Average Loss  0.866111, Time  0.171034
2021-09-11 12:00:48.741012 : Epoch  5, Batch   1309, Loss  0.848974, Average Loss  0.866013, Time  0.170387
2021-09-11 12:00:50.337779 : Epoch  5, Batch   1310, Loss  0.848932, Average Loss  0.866041, Time  0.170234
2021-09-11 12:00:51.959031 : Epoch  5, Batch   1311, Loss  0.867156, Average Loss  0.866003, Time  0.172563
2021-09-11 12:00:53.554037 : Epoch  5, Batch   1312, Loss  0.867215, Average Loss  0.866087, Time  0.171278
2021-09-11 12:00:55.153857 : Epoch  5, Batch   1313, Loss  0.884075, Average Loss  0.866155, Time  0.171128
2021-09-11 12:00:56.735732 : Epoch  5, Batch   1314, Loss  0.842938, Average Loss  0.866060, Time  0.175241
2021-09-11 12:00:58.301886 : Epoch  5, Batch   1315, Loss  0.867356, Average Loss  0.866020, Time  0.170456
2021-09-11 12:00:59.888856 : Epoch  5, Batch   1316, Loss  0.842436, Average Loss  0.865869, Time  0.172390
2021-09-11 12:01:01.470399 : Epoch  5, Batch   1317, Loss  0.870203, Average Loss  0.865919, Time  0.170073
2021-09-11 12:01:03.067885 : Epoch  5, Batch   1318, Loss  0.889643, Average Loss  0.866077, Time  0.170151
2021-09-11 12:01:04.682771 : Epoch  5, Batch   1319, Loss  0.884243, Average Loss  0.866078, Time  0.174227
2021-09-11 12:01:06.275773 : Epoch  5, Batch   1320, Loss  0.892365, Average Loss  0.866360, Time  0.172362
2021-09-11 12:01:07.856171 : Epoch  5, Batch   1321, Loss  0.874617, Average Loss  0.866507, Time  0.171085
2021-09-11 12:01:09.423854 : Epoch  5, Batch   1322, Loss  0.861300, Average Loss  0.866482, Time  0.170654
2021-09-11 12:01:11.004039 : Epoch  5, Batch   1323, Loss  0.866586, Average Loss  0.866465, Time  0.171262
2021-09-11 12:01:12.584741 : Epoch  5, Batch   1324, Loss  0.833145, Average Loss  0.866246, Time  0.171985
2021-09-11 12:01:14.173633 : Epoch  5, Batch   1325, Loss  0.887997, Average Loss  0.866391, Time  0.173034
2021-09-11 12:01:15.738635 : Epoch  5, Batch   1326, Loss  0.860352, Average Loss  0.866493, Time  0.170532
2021-09-11 12:01:17.329745 : Epoch  5, Batch   1327, Loss  0.881906, Average Loss  0.866678, Time  0.170615
2021-09-11 12:01:18.925037 : Epoch  5, Batch   1328, Loss  0.887221, Average Loss  0.866751, Time  0.170170
2021-09-11 12:01:20.531868 : Epoch  5, Batch   1329, Loss  0.887333, Average Loss  0.866873, Time  0.170793
2021-09-11 12:01:22.111845 : Epoch  5, Batch   1330, Loss  0.872006, Average Loss  0.867078, Time  0.172771
2021-09-11 12:01:23.695828 : Epoch  5, Batch   1331, Loss  0.929563, Average Loss  0.867343, Time  0.171068
2021-09-11 12:01:25.335799 : Epoch  5, Batch   1332, Loss  0.859592, Average Loss  0.867419, Time  0.170808
2021-09-11 12:01:26.933039 : Epoch  5, Batch   1333, Loss  0.885025, Average Loss  0.867478, Time  0.170192
2021-09-11 12:01:28.541044 : Epoch  5, Batch   1334, Loss  0.868115, Average Loss  0.867353, Time  0.170202
2021-09-11 12:01:30.150029 : Epoch  5, Batch   1335, Loss  0.864545, Average Loss  0.867399, Time  0.170600
2021-09-11 12:01:31.770815 : Epoch  5, Batch   1336, Loss  0.904692, Average Loss  0.867557, Time  0.172624
2021-09-11 12:01:33.392051 : Epoch  5, Batch   1337, Loss  0.867993, Average Loss  0.867466, Time  0.171030
2021-09-11 12:01:34.981094 : Epoch  5, Batch   1338, Loss  0.853732, Average Loss  0.867466, Time  0.170577
2021-09-11 12:01:36.599755 : Epoch  5, Batch   1339, Loss  0.865893, Average Loss  0.867451, Time  0.171768
2021-09-11 12:01:38.198744 : Epoch  5, Batch   1340, Loss  0.895792, Average Loss  0.867545, Time  0.173917
2021-09-11 12:01:39.780814 : Epoch  5, Batch   1341, Loss  0.852656, Average Loss  0.867503, Time  0.171058
2021-09-11 12:01:41.370811 : Epoch  5, Batch   1342, Loss  0.884344, Average Loss  0.867524, Time  0.170302
2021-09-11 12:01:42.953030 : Epoch  5, Batch   1343, Loss  0.843329, Average Loss  0.867472, Time  0.172388
2021-09-11 12:01:44.537842 : Epoch  5, Batch   1344, Loss  0.910817, Average Loss  0.867711, Time  0.171156
2021-09-11 12:01:46.136794 : Epoch  5, Batch   1345, Loss  0.864271, Average Loss  0.867636, Time  0.170190
2021-09-11 12:01:47.741042 : Epoch  5, Batch   1346, Loss  0.857641, Average Loss  0.867722, Time  0.171438
2021-09-11 12:01:49.337050 : Epoch  5, Batch   1347, Loss  0.849924, Average Loss  0.867633, Time  0.174383
2021-09-11 12:01:50.968784 : Epoch  5, Batch   1348, Loss  0.893331, Average Loss  0.867774, Time  0.170650
2021-09-11 12:01:52.563808 : Epoch  5, Batch   1349, Loss  0.867209, Average Loss  0.867844, Time  0.170437
2021-09-11 12:01:54.157910 : Epoch  5, Batch   1350, Loss  0.864371, Average Loss  0.867903, Time  0.170829
2021-09-11 12:01:55.743756 : Epoch  5, Batch   1351, Loss  0.882175, Average Loss  0.868123, Time  0.173123
2021-09-11 12:01:57.342855 : Epoch  5, Batch   1352, Loss  0.865318, Average Loss  0.868189, Time  0.170289
2021-09-11 12:01:58.928806 : Epoch  5, Batch   1353, Loss  0.882058, Average Loss  0.868257, Time  0.170052
2021-09-11 12:02:00.518742 : Epoch  5, Batch   1354, Loss  0.885112, Average Loss  0.868331, Time  0.170370
2021-09-11 12:02:02.109089 : Epoch  5, Batch   1355, Loss  0.873752, Average Loss  0.868436, Time  0.176674
2021-09-11 12:02:03.682786 : Epoch  5, Batch   1356, Loss  0.883094, Average Loss  0.868390, Time  0.171090
2021-09-11 12:02:28.994773 : CheckPoint: Validation Loss  0.00029972, Best Loss  0.00029019
2021-09-11 12:02:31.622077 : Epoch  4, Batch   1833, Loss  0.860400, Average Loss  0.870315, Time  0.273924
2021-09-11 12:02:34.216020 : Epoch  4, Batch   1834, Loss  0.863596, Average Loss  0.870370, Time  0.244128
2021-09-11 12:02:36.801853 : Epoch  4, Batch   1835, Loss  0.869242, Average Loss  0.870495, Time  0.238126
2021-09-11 12:02:39.388957 : Epoch  4, Batch   1836, Loss  0.860151, Average Loss  0.870396, Time  0.237494
2021-09-11 12:02:41.972917 : Epoch  4, Batch   1837, Loss  0.875817, Average Loss  0.870399, Time  0.237730
2021-09-11 12:02:44.557966 : Epoch  4, Batch   1838, Loss  0.865213, Average Loss  0.870450, Time  0.238349
2021-09-11 12:02:47.150340 : Epoch  4, Batch   1839, Loss  0.854021, Average Loss  0.870466, Time  0.237916
2021-09-11 12:02:49.737395 : Epoch  4, Batch   1840, Loss  0.886343, Average Loss  0.870581, Time  0.238728
2021-09-11 12:02:52.344137 : Epoch  4, Batch   1841, Loss  0.879667, Average Loss  0.870553, Time  0.237551
2021-09-11 12:02:54.948108 : Epoch  4, Batch   1842, Loss  0.867892, Average Loss  0.870558, Time  0.238775
2021-09-11 12:02:57.526902 : Epoch  4, Batch   1843, Loss  0.888847, Average Loss  0.870530, Time  0.238424
2021-09-11 12:03:00.128236 : Epoch  4, Batch   1844, Loss  0.863864, Average Loss  0.870508, Time  0.237348
2021-09-11 12:03:02.709958 : Epoch  4, Batch   1845, Loss  0.861718, Average Loss  0.870408, Time  0.238301
2021-09-11 12:03:05.323367 : Epoch  4, Batch   1846, Loss  0.855131, Average Loss  0.870251, Time  0.237464
2021-09-11 12:03:07.919824 : Epoch  4, Batch   1847, Loss  0.833883, Average Loss  0.870139, Time  0.238452
2021-09-11 12:03:10.503411 : Epoch  4, Batch   1848, Loss  0.859103, Average Loss  0.869989, Time  0.238254
2021-09-11 12:03:13.083325 : Epoch  4, Batch   1849, Loss  0.854051, Average Loss  0.869935, Time  0.238183
2021-09-11 12:03:15.660082 : Epoch  4, Batch   1850, Loss  0.870103, Average Loss  0.870017, Time  0.240149
2021-09-11 12:03:18.264797 : Epoch  4, Batch   1851, Loss  0.862950, Average Loss  0.870049, Time  0.237535
2021-09-11 12:03:20.847536 : Epoch  4, Batch   1852, Loss  0.868643, Average Loss  0.870068, Time  0.237617
2021-09-11 12:03:23.452816 : Epoch  4, Batch   1853, Loss  0.877643, Average Loss  0.870099, Time  0.237437
2021-09-11 12:03:26.045135 : Epoch  4, Batch   1854, Loss  0.873595, Average Loss  0.870161, Time  0.238617
2021-09-11 12:03:28.627975 : Epoch  4, Batch   1855, Loss  0.858806, Average Loss  0.870063, Time  0.237639
2021-09-11 12:03:31.208840 : Epoch  4, Batch   1856, Loss  0.871094, Average Loss  0.870049, Time  0.237729
2021-09-11 12:03:31.239786 : Saving Model after 4-th Epoch.
2021-09-11 12:03:32.132658 : Epoch Finished.
2021-09-11 12:03:40.974804 : Batch Shuffled
2021-09-11 12:03:43.572106 : Epoch  5, Batch      1, Loss  0.875370, Average Loss  0.869868, Time  0.270423
2021-09-11 12:03:46.183104 : Epoch  5, Batch      2, Loss  0.865458, Average Loss  0.869806, Time  0.244233
2021-09-11 12:03:48.799109 : Epoch  5, Batch      3, Loss  0.872390, Average Loss  0.869866, Time  0.237665
2021-09-11 12:03:51.408885 : Epoch  5, Batch      4, Loss  0.875599, Average Loss  0.869927, Time  0.239361
2021-09-11 12:03:53.994913 : Epoch  5, Batch      5, Loss  0.864902, Average Loss  0.869844, Time  0.237771
2021-09-11 12:03:56.581869 : Epoch  5, Batch      6, Loss  0.860529, Average Loss  0.869788, Time  0.239120
2021-09-11 12:03:59.184884 : Epoch  5, Batch      7, Loss  0.873729, Average Loss  0.869790, Time  0.238471
2021-09-11 12:04:01.774444 : Epoch  5, Batch      8, Loss  0.888835, Average Loss  0.870005, Time  0.237847
2021-09-11 12:04:04.357919 : Epoch  5, Batch      9, Loss  0.868922, Average Loss  0.869983, Time  0.238063
2021-09-11 12:04:06.943658 : Epoch  5, Batch     10, Loss  0.870565, Average Loss  0.869922, Time  0.237462
2021-09-11 12:04:09.552097 : Epoch  5, Batch     11, Loss  0.869088, Average Loss  0.869967, Time  0.237669
2021-09-11 12:04:12.166211 : Epoch  5, Batch     12, Loss  0.859385, Average Loss  0.869830, Time  0.237404
2021-09-11 12:04:14.750023 : Epoch  5, Batch     13, Loss  0.871259, Average Loss  0.869928, Time  0.238662
2021-09-11 12:04:17.349836 : Epoch  5, Batch     14, Loss  0.882548, Average Loss  0.870026, Time  0.239949
2021-09-11 12:04:19.950875 : Epoch  5, Batch     15, Loss  0.871273, Average Loss  0.870038, Time  0.238534
2021-09-11 12:04:22.534907 : Epoch  5, Batch     16, Loss  0.874171, Average Loss  0.870045, Time  0.237284
2021-09-11 12:04:25.132056 : Epoch  5, Batch     17, Loss  0.862707, Average Loss  0.869995, Time  0.237478
2021-09-11 12:04:27.707297 : Epoch  5, Batch     18, Loss  0.873686, Average Loss  0.869926, Time  0.237082
2021-09-11 12:04:30.314003 : Epoch  5, Batch     19, Loss  0.863340, Average Loss  0.869920, Time  0.238319
2021-09-11 12:04:32.912058 : Epoch  5, Batch     20, Loss  0.851243, Average Loss  0.869797, Time  0.237590
2021-09-11 12:04:35.529016 : Epoch  5, Batch     21, Loss  0.859716, Average Loss  0.869732, Time  0.237517
2021-09-11 12:04:38.142380 : Epoch  5, Batch     22, Loss  0.859409, Average Loss  0.869753, Time  0.237395
2021-09-11 12:04:40.743021 : Epoch  5, Batch     23, Loss  0.869630, Average Loss  0.869787, Time  0.237384
2021-09-11 12:04:43.333000 : Epoch  5, Batch     24, Loss  0.886557, Average Loss  0.869905, Time  0.240651
2021-09-11 12:04:45.924768 : Epoch  5, Batch     25, Loss  0.875198, Average Loss  0.870038, Time  0.240520
2021-09-11 12:04:48.530854 : Epoch  5, Batch     26, Loss  0.898403, Average Loss  0.870252, Time  0.238115
2021-09-11 12:04:51.112827 : Epoch  5, Batch     27, Loss  0.859375, Average Loss  0.870167, Time  0.237625
2021-09-11 12:04:53.700831 : Epoch  5, Batch     28, Loss  0.879519, Average Loss  0.870231, Time  0.237679
2021-09-11 12:04:56.300911 : Epoch  5, Batch     29, Loss  0.860137, Average Loss  0.870039, Time  0.238706
2021-09-11 12:04:58.892573 : Epoch  5, Batch     30, Loss  0.854919, Average Loss  0.870047, Time  0.237324
2021-09-11 12:05:01.534923 : Epoch  5, Batch     31, Loss  0.873969, Average Loss  0.870042, Time  0.238490
2021-09-11 12:05:04.126934 : Epoch  5, Batch     32, Loss  0.867406, Average Loss  0.870054, Time  0.238289
2021-09-11 12:05:06.721920 : Epoch  5, Batch     33, Loss  0.844698, Average Loss  0.869875, Time  0.237789
2021-09-11 12:05:09.312375 : Epoch  5, Batch     34, Loss  0.876688, Average Loss  0.869942, Time  0.242794
2021-09-11 12:05:11.899065 : Epoch  5, Batch     35, Loss  0.873688, Average Loss  0.869972, Time  0.240574
2021-09-11 12:05:14.489563 : Epoch  5, Batch     36, Loss  0.864385, Average Loss  0.869913, Time  0.238354
2021-09-11 12:05:17.070382 : Epoch  5, Batch     37, Loss  0.895768, Average Loss  0.869967, Time  0.238275
2021-09-11 12:05:19.706370 : Epoch  5, Batch     38, Loss  0.855452, Average Loss  0.869890, Time  0.258777
2021-09-11 12:05:22.284179 : Epoch  5, Batch     39, Loss  0.855201, Average Loss  0.869800, Time  0.237496
2021-09-11 12:05:24.865107 : Epoch  5, Batch     40, Loss  0.882054, Average Loss  0.869916, Time  0.240360
2021-09-11 12:05:27.439210 : Epoch  5, Batch     41, Loss  0.868927, Average Loss  0.869919, Time  0.238317
2021-09-11 12:05:30.012563 : Epoch  5, Batch     42, Loss  0.860355, Average Loss  0.869914, Time  0.237021
2021-09-11 12:05:32.601960 : Epoch  5, Batch     43, Loss  0.868318, Average Loss  0.869806, Time  0.238241
2021-09-11 12:05:35.187793 : Epoch  5, Batch     44, Loss  0.881285, Average Loss  0.869831, Time  0.238573
2021-09-11 12:05:37.765131 : Epoch  5, Batch     45, Loss  0.857243, Average Loss  0.869711, Time  0.237444
2021-09-11 12:05:40.353042 : Epoch  5, Batch     46, Loss  0.886543, Average Loss  0.869765, Time  0.237862
2021-09-11 12:05:42.935807 : Epoch  5, Batch     47, Loss  0.873600, Average Loss  0.869863, Time  0.237885
2021-09-11 12:05:45.522073 : Epoch  5, Batch     48, Loss  0.852139, Average Loss  0.869741, Time  0.237631
2021-09-11 12:05:48.101084 : Epoch  5, Batch     49, Loss  0.872477, Average Loss  0.869753, Time  0.237415
2021-09-11 12:05:50.695016 : Epoch  5, Batch     50, Loss  0.859379, Average Loss  0.869684, Time  0.237659
2021-09-11 12:05:53.279062 : Epoch  5, Batch     51, Loss  0.864033, Average Loss  0.869798, Time  0.237558
2021-09-11 12:05:55.862408 : Epoch  5, Batch     52, Loss  0.871518, Average Loss  0.869837, Time  0.238261
2021-09-11 12:05:58.440373 : Epoch  5, Batch     53, Loss  0.870349, Average Loss  0.869802, Time  0.237394
2021-09-11 12:06:01.029880 : Epoch  5, Batch     54, Loss  0.875486, Average Loss  0.869798, Time  0.237297
2021-09-11 12:06:03.619325 : Epoch  5, Batch     55, Loss  0.906772, Average Loss  0.870005, Time  0.237875
2021-09-11 12:06:06.216104 : Epoch  5, Batch     56, Loss  0.877711, Average Loss  0.869974, Time  0.238250
2021-09-11 12:06:08.806816 : Epoch  5, Batch     57, Loss  0.864292, Average Loss  0.870059, Time  0.239129
2021-09-11 12:06:11.394854 : Epoch  5, Batch     58, Loss  0.872897, Average Loss  0.870110, Time  0.237931
2021-09-11 12:06:13.987920 : Epoch  5, Batch     59, Loss  0.864243, Average Loss  0.870207, Time  0.238509
2021-09-11 12:06:16.579118 : Epoch  5, Batch     60, Loss  0.891879, Average Loss  0.870429, Time  0.237543
2021-09-11 12:06:19.182385 : Epoch  5, Batch     61, Loss  0.848773, Average Loss  0.870301, Time  0.237487
2021-09-11 12:06:21.771019 : Epoch  5, Batch     62, Loss  0.858401, Average Loss  0.870243, Time  0.238620
2021-09-11 12:06:24.354444 : Epoch  5, Batch     63, Loss  0.855864, Average Loss  0.870227, Time  0.237809
2021-09-11 12:06:26.936420 : Epoch  5, Batch     64, Loss  0.882176, Average Loss  0.870306, Time  0.237424
2021-09-11 12:06:29.514884 : Epoch  5, Batch     65, Loss  0.863080, Average Loss  0.870326, Time  0.238017
2021-09-11 12:06:32.098134 : Epoch  5, Batch     66, Loss  0.875434, Average Loss  0.870336, Time  0.237850
2021-09-11 12:06:34.675903 : Epoch  5, Batch     67, Loss  0.883566, Average Loss  0.870472, Time  0.238198
2021-09-11 12:06:37.264001 : Epoch  5, Batch     68, Loss  0.859478, Average Loss  0.870401, Time  0.239403
2021-09-11 12:06:39.842860 : Epoch  5, Batch     69, Loss  0.867590, Average Loss  0.870438, Time  0.237619
2021-09-11 12:06:42.417245 : Epoch  5, Batch     70, Loss  0.872897, Average Loss  0.870524, Time  0.237932
2021-09-11 12:06:43.055742 : CheckPoint: Validation Loss  0.00058365, Best Loss  0.00057296
2021-09-11 12:06:44.656944 : Epoch  5, Batch   1357, Loss  0.852790, Average Loss  0.868290, Time  0.182880
2021-09-11 12:06:45.002898 : Epoch  5, Batch     71, Loss  0.849308, Average Loss  0.870528, Time  0.237749
2021-09-11 12:06:46.245763 : Epoch  5, Batch   1358, Loss  0.866329, Average Loss  0.868363, Time  0.171717
2021-09-11 12:06:47.594505 : Epoch  5, Batch     72, Loss  0.866080, Average Loss  0.870499, Time  0.240608
2021-09-11 12:06:47.873015 : Epoch  5, Batch   1359, Loss  0.886429, Average Loss  0.868576, Time  0.174325
2021-09-11 12:06:49.470036 : Epoch  5, Batch   1360, Loss  0.867775, Average Loss  0.868582, Time  0.170399
2021-09-11 12:06:50.169022 : Epoch  5, Batch     73, Loss  0.885904, Average Loss  0.870546, Time  0.237375
2021-09-11 12:06:51.090845 : Epoch  5, Batch   1361, Loss  0.892018, Average Loss  0.868778, Time  0.179144
2021-09-11 12:06:52.698846 : Epoch  5, Batch   1362, Loss  0.873744, Average Loss  0.868646, Time  0.189668
2021-09-11 12:06:52.756988 : Epoch  5, Batch     74, Loss  0.861342, Average Loss  0.870367, Time  0.237702
2021-09-11 12:06:54.289882 : Epoch  5, Batch   1363, Loss  0.892124, Average Loss  0.868852, Time  0.173947
2021-09-11 12:06:55.335579 : Epoch  5, Batch     75, Loss  0.878778, Average Loss  0.870317, Time  0.238761
2021-09-11 12:06:55.887860 : Epoch  5, Batch   1364, Loss  0.880685, Average Loss  0.868989, Time  0.170657
2021-09-11 12:06:57.489868 : Epoch  5, Batch   1365, Loss  0.899332, Average Loss  0.869059, Time  0.174729
2021-09-11 12:06:57.920178 : Epoch  5, Batch     76, Loss  0.889483, Average Loss  0.870427, Time  0.239520
2021-09-11 12:06:59.091049 : Epoch  5, Batch   1366, Loss  0.859699, Average Loss  0.868954, Time  0.172079
2021-09-11 12:07:00.694033 : Epoch  5, Batch   1367, Loss  0.852147, Average Loss  0.868833, Time  0.170107
2021-09-11 12:07:02.278023 : Epoch  5, Batch   1368, Loss  0.865753, Average Loss  0.868869, Time  0.170175
2021-09-11 12:07:03.847221 : Epoch  5, Batch   1369, Loss  0.893395, Average Loss  0.869020, Time  0.173345
2021-09-11 12:07:05.430810 : Epoch  5, Batch   1370, Loss  0.859151, Average Loss  0.868954, Time  0.170118
2021-09-11 12:07:07.023040 : Epoch  5, Batch   1371, Loss  0.881347, Average Loss  0.869034, Time  0.182950
2021-09-11 12:07:08.616785 : Epoch  5, Batch   1372, Loss  0.852092, Average Loss  0.868968, Time  0.174742
2021-09-11 12:07:10.230758 : Epoch  5, Batch   1373, Loss  0.879874, Average Loss  0.868892, Time  0.170836
2021-09-11 12:07:11.821076 : Epoch  5, Batch   1374, Loss  0.848613, Average Loss  0.868826, Time  0.172858
2021-09-11 12:07:13.409029 : Epoch  5, Batch   1375, Loss  0.852079, Average Loss  0.868817, Time  0.173340
2021-09-11 12:07:14.988697 : Epoch  5, Batch   1376, Loss  0.896358, Average Loss  0.869077, Time  0.170526
2021-09-11 12:07:16.576738 : Epoch  5, Batch   1377, Loss  0.850159, Average Loss  0.868999, Time  0.173880
2021-09-11 12:07:18.164085 : Epoch  5, Batch   1378, Loss  0.896855, Average Loss  0.869136, Time  0.171461
2021-09-11 12:07:19.755740 : Epoch  5, Batch   1379, Loss  0.862986, Average Loss  0.869133, Time  0.171106
2021-09-11 12:07:21.354829 : Epoch  5, Batch   1380, Loss  0.901002, Average Loss  0.869223, Time  0.170571
2021-09-11 12:07:22.971055 : Epoch  5, Batch   1381, Loss  0.873188, Average Loss  0.869244, Time  0.177157
2021-09-11 12:07:24.574110 : Epoch  5, Batch   1382, Loss  0.875416, Average Loss  0.869373, Time  0.170383
2021-09-11 12:07:26.145848 : Epoch  5, Batch   1383, Loss  0.863569, Average Loss  0.869347, Time  0.175529
2021-09-11 12:07:27.722770 : Epoch  5, Batch   1384, Loss  0.883373, Average Loss  0.869544, Time  0.170264
2021-09-11 12:07:29.322790 : Epoch  5, Batch   1385, Loss  0.872510, Average Loss  0.869563, Time  0.170327
2021-09-11 12:07:30.920793 : Epoch  5, Batch   1386, Loss  0.854553, Average Loss  0.869452, Time  0.170464
2021-09-11 12:07:32.511846 : Epoch  5, Batch   1387, Loss  0.886249, Average Loss  0.869443, Time  0.172256
2021-09-11 12:07:34.093046 : Epoch  5, Batch   1388, Loss  0.875643, Average Loss  0.869369, Time  0.173830
2021-09-11 12:07:35.689814 : Epoch  5, Batch   1389, Loss  0.877033, Average Loss  0.869407, Time  0.177419
2021-09-11 12:07:37.278766 : Epoch  5, Batch   1390, Loss  0.850434, Average Loss  0.869429, Time  0.170890
2021-09-11 12:07:38.868024 : Epoch  5, Batch   1391, Loss  0.878869, Average Loss  0.869479, Time  0.176347
2021-09-11 12:07:40.470037 : Epoch  5, Batch   1392, Loss  0.869155, Average Loss  0.869610, Time  0.179147
2021-09-11 12:07:42.053728 : Epoch  5, Batch   1393, Loss  0.880421, Average Loss  0.869664, Time  0.174110
2021-09-11 12:07:43.659043 : Epoch  5, Batch   1394, Loss  0.858584, Average Loss  0.869612, Time  0.170208
2021-09-11 12:07:45.277773 : Epoch  5, Batch   1395, Loss  0.882056, Average Loss  0.869618, Time  0.193491
2021-09-11 12:07:46.865754 : Epoch  5, Batch   1396, Loss  0.870978, Average Loss  0.869654, Time  0.176127
2021-09-11 12:07:48.459818 : Epoch  5, Batch   1397, Loss  0.849199, Average Loss  0.869530, Time  0.170486
2021-09-11 12:07:50.051787 : Epoch  5, Batch   1398, Loss  0.887502, Average Loss  0.869642, Time  0.170329
2021-09-11 12:07:51.639762 : Epoch  5, Batch   1399, Loss  0.878703, Average Loss  0.869861, Time  0.170108
2021-09-11 12:07:53.210099 : Epoch  5, Batch   1400, Loss  0.903370, Average Loss  0.870048, Time  0.170245
2021-09-11 12:07:54.801924 : Epoch  5, Batch   1401, Loss  0.893621, Average Loss  0.870076, Time  0.171747
2021-09-11 12:07:56.392060 : Epoch  5, Batch   1402, Loss  0.869658, Average Loss  0.870042, Time  0.173814
2021-09-11 12:07:57.969750 : Epoch  5, Batch   1403, Loss  0.872303, Average Loss  0.870005, Time  0.172992
2021-09-11 12:07:59.561049 : Epoch  5, Batch   1404, Loss  0.877887, Average Loss  0.870023, Time  0.169834
2021-09-11 12:08:01.151801 : Epoch  5, Batch   1405, Loss  0.871338, Average Loss  0.870259, Time  0.170087
2021-09-11 12:08:02.755893 : Epoch  5, Batch   1406, Loss  0.878558, Average Loss  0.870414, Time  0.174243
2021-09-11 12:08:04.350828 : Epoch  5, Batch   1407, Loss  0.880706, Average Loss  0.870524, Time  0.173391
2021-09-11 12:08:05.941813 : Epoch  5, Batch   1408, Loss  0.896998, Average Loss  0.870817, Time  0.170227
2021-09-11 12:08:07.554032 : Epoch  5, Batch   1409, Loss  0.917129, Average Loss  0.870995, Time  0.170145
2021-09-11 12:08:09.125187 : Epoch  5, Batch   1410, Loss  0.883052, Average Loss  0.871087, Time  0.170559
2021-09-11 12:08:10.737726 : Epoch  5, Batch   1411, Loss  0.862526, Average Loss  0.871054, Time  0.178555
2021-09-11 12:08:12.335840 : Epoch  5, Batch   1412, Loss  0.874577, Average Loss  0.871283, Time  0.181550
2021-09-11 12:08:13.937029 : Epoch  5, Batch   1413, Loss  0.883165, Average Loss  0.871293, Time  0.181484
2021-09-11 12:08:15.534060 : Epoch  5, Batch   1414, Loss  0.873640, Average Loss  0.871437, Time  0.171350
2021-09-11 12:08:17.124010 : Epoch  5, Batch   1415, Loss  0.844169, Average Loss  0.871309, Time  0.170033
2021-09-11 12:08:18.717106 : Epoch  5, Batch   1416, Loss  0.869100, Average Loss  0.871439, Time  0.170222
2021-09-11 12:08:20.315839 : Epoch  5, Batch   1417, Loss  0.866528, Average Loss  0.871373, Time  0.175725
2021-09-11 12:08:21.913806 : Epoch  5, Batch   1418, Loss  0.867391, Average Loss  0.871475, Time  0.174904
2021-09-11 12:08:23.529883 : Epoch  5, Batch   1419, Loss  0.868944, Average Loss  0.871530, Time  0.173991
2021-09-11 12:08:25.126366 : Epoch  5, Batch   1420, Loss  0.870548, Average Loss  0.871553, Time  0.171577
2021-09-11 12:08:26.694849 : Epoch  5, Batch   1421, Loss  0.878797, Average Loss  0.871666, Time  0.169800
2021-09-11 12:08:28.289751 : Epoch  5, Batch   1422, Loss  0.880208, Average Loss  0.871707, Time  0.171400
2021-09-11 12:08:29.878842 : Epoch  5, Batch   1423, Loss  0.904715, Average Loss  0.871865, Time  0.171455
2021-09-11 12:08:31.479337 : Epoch  5, Batch   1424, Loss  0.864529, Average Loss  0.871877, Time  0.170114
2021-09-11 12:08:33.072832 : Epoch  5, Batch   1425, Loss  0.847250, Average Loss  0.871746, Time  0.177656
2021-09-11 12:08:34.652094 : Epoch  5, Batch   1426, Loss  0.867528, Average Loss  0.871823, Time  0.173533
2021-09-11 12:08:36.255045 : Epoch  5, Batch   1427, Loss  0.861527, Average Loss  0.871480, Time  0.171923
2021-09-11 12:08:37.842085 : Epoch  5, Batch   1428, Loss  0.858966, Average Loss  0.871516, Time  0.170730
2021-09-11 12:08:39.453043 : Epoch  5, Batch   1429, Loss  0.856910, Average Loss  0.871375, Time  0.170124
2021-09-11 12:08:41.060043 : Epoch  5, Batch   1430, Loss  0.876587, Average Loss  0.871477, Time  0.169923
2021-09-11 12:08:42.659767 : Epoch  5, Batch   1431, Loss  0.860290, Average Loss  0.871362, Time  0.170870
2021-09-11 12:08:44.267025 : Epoch  5, Batch   1432, Loss  0.841141, Average Loss  0.871288, Time  0.172628
2021-09-11 12:08:45.862806 : Epoch  5, Batch   1433, Loss  0.877121, Average Loss  0.871190, Time  0.170803
2021-09-11 12:08:47.467746 : Epoch  5, Batch   1434, Loss  0.862662, Average Loss  0.871071, Time  0.170817
2021-09-11 12:08:49.080913 : Epoch  5, Batch   1435, Loss  0.852110, Average Loss  0.870956, Time  0.177990
2021-09-11 12:08:50.672764 : Epoch  5, Batch   1436, Loss  0.887070, Average Loss  0.871025, Time  0.170313
2021-09-11 12:08:52.272767 : Epoch  5, Batch   1437, Loss  0.901016, Average Loss  0.871233, Time  0.173319
2021-09-11 12:08:53.866747 : Epoch  5, Batch   1438, Loss  0.854886, Average Loss  0.871017, Time  0.173242
2021-09-11 12:08:55.462768 : Epoch  5, Batch   1439, Loss  0.865175, Average Loss  0.870929, Time  0.175716
2021-09-11 12:08:57.063879 : Epoch  5, Batch   1440, Loss  0.867226, Average Loss  0.870829, Time  0.171482
2021-09-11 12:08:58.649039 : Epoch  5, Batch   1441, Loss  0.863913, Average Loss  0.870793, Time  0.171823
2021-09-11 12:09:00.251042 : Epoch  5, Batch   1442, Loss  0.841011, Average Loss  0.870624, Time  0.178508
2021-09-11 12:09:01.844737 : Epoch  5, Batch   1443, Loss  0.879610, Average Loss  0.870654, Time  0.170682
2021-09-11 12:09:03.445869 : Epoch  5, Batch   1444, Loss  0.853714, Average Loss  0.870633, Time  0.172772
2021-09-11 12:09:05.036036 : Epoch  5, Batch   1445, Loss  0.861566, Average Loss  0.870513, Time  0.174059
2021-09-11 12:09:06.635888 : Epoch  5, Batch   1446, Loss  0.888730, Average Loss  0.870621, Time  0.171150
2021-09-11 12:09:08.229760 : Epoch  5, Batch   1447, Loss  0.894883, Average Loss  0.870801, Time  0.174863
2021-09-11 12:09:09.810785 : Epoch  5, Batch   1448, Loss  0.855205, Average Loss  0.870840, Time  0.173626
2021-09-11 12:09:11.410076 : Epoch  5, Batch   1449, Loss  0.868318, Average Loss  0.870795, Time  0.170204
2021-09-11 12:09:12.984891 : Epoch  5, Batch   1450, Loss  0.881006, Average Loss  0.870805, Time  0.179244
2021-09-11 12:09:14.590856 : Epoch  5, Batch   1451, Loss  0.898666, Average Loss  0.871097, Time  0.170811
2021-09-11 12:09:16.186749 : Epoch  5, Batch   1452, Loss  0.903042, Average Loss  0.871420, Time  0.169972
2021-09-11 12:09:17.781782 : Epoch  5, Batch   1453, Loss  0.846747, Average Loss  0.871229, Time  0.170730
2021-09-11 12:09:19.381838 : Epoch  5, Batch   1454, Loss  0.878657, Average Loss  0.871299, Time  0.170764
2021-09-11 12:09:20.976041 : Epoch  5, Batch   1455, Loss  0.878229, Average Loss  0.871395, Time  0.170301
2021-09-11 12:09:22.588776 : Epoch  5, Batch   1456, Loss  0.862753, Average Loss  0.871127, Time  0.176804
2021-09-11 12:11:00.130738 : CheckPoint: Validation Loss  0.00029620, Best Loss  0.00029019
2021-09-11 12:11:02.710928 : Epoch  5, Batch     77, Loss  0.877408, Average Loss  0.870447, Time  0.238747
2021-09-11 12:11:05.318897 : Epoch  5, Batch     78, Loss  0.865615, Average Loss  0.870471, Time  0.237375
2021-09-11 12:11:07.940895 : Epoch  5, Batch     79, Loss  0.860076, Average Loss  0.870409, Time  0.237415
2021-09-11 12:11:10.535367 : Epoch  5, Batch     80, Loss  0.864303, Average Loss  0.870315, Time  0.237428
2021-09-11 12:11:13.109017 : Epoch  5, Batch     81, Loss  0.869158, Average Loss  0.870292, Time  0.237238
2021-09-11 12:11:15.684460 : Epoch  5, Batch     82, Loss  0.876186, Average Loss  0.870391, Time  0.237583
2021-09-11 12:11:18.263032 : Epoch  5, Batch     83, Loss  0.850078, Average Loss  0.870335, Time  0.237119
2021-09-11 12:11:20.838494 : Epoch  5, Batch     84, Loss  0.868332, Average Loss  0.870283, Time  0.237087
2021-09-11 12:11:23.421223 : Epoch  5, Batch     85, Loss  0.868286, Average Loss  0.870238, Time  0.237468
2021-09-11 12:11:25.987997 : Epoch  5, Batch     86, Loss  0.874017, Average Loss  0.870275, Time  0.237560
2021-09-11 12:11:28.605069 : Epoch  5, Batch     87, Loss  0.847806, Average Loss  0.870179, Time  0.237559
2021-09-11 12:11:31.189029 : Epoch  5, Batch     88, Loss  0.859071, Average Loss  0.870177, Time  0.238023
2021-09-11 12:11:33.786053 : Epoch  5, Batch     89, Loss  0.847218, Average Loss  0.870068, Time  0.237632
2021-09-11 12:11:36.362074 : Epoch  5, Batch     90, Loss  0.871130, Average Loss  0.870019, Time  0.237737
2021-09-11 12:11:38.942311 : Epoch  5, Batch     91, Loss  0.861198, Average Loss  0.869886, Time  0.237390
2021-09-11 12:11:41.519029 : Epoch  5, Batch     92, Loss  0.893195, Average Loss  0.870040, Time  0.237600
2021-09-11 12:11:44.099415 : Epoch  5, Batch     93, Loss  0.858478, Average Loss  0.869916, Time  0.237249
2021-09-11 12:11:46.674022 : Epoch  5, Batch     94, Loss  0.877441, Average Loss  0.869779, Time  0.237611
2021-09-11 12:11:49.253040 : Epoch  5, Batch     95, Loss  0.846034, Average Loss  0.869647, Time  0.238741
2021-09-11 12:11:51.835738 : Epoch  5, Batch     96, Loss  0.879264, Average Loss  0.869791, Time  0.237354
2021-09-11 12:11:54.421385 : Epoch  5, Batch     97, Loss  0.856390, Average Loss  0.869738, Time  0.239366
2021-09-11 12:11:56.992562 : Epoch  5, Batch     98, Loss  0.859900, Average Loss  0.869687, Time  0.237614
2021-09-11 12:11:59.571013 : Epoch  5, Batch     99, Loss  0.879788, Average Loss  0.869710, Time  0.240324
2021-09-11 12:12:02.161378 : Epoch  5, Batch    100, Loss  0.869715, Average Loss  0.869683, Time  0.237717
2021-09-11 12:12:04.745530 : Epoch  5, Batch    101, Loss  0.877523, Average Loss  0.869644, Time  0.237915
2021-09-11 12:12:07.321916 : Epoch  5, Batch    102, Loss  0.874651, Average Loss  0.869573, Time  0.237744
2021-09-11 12:12:09.895100 : Epoch  5, Batch    103, Loss  0.851853, Average Loss  0.869444, Time  0.238114
2021-09-11 12:12:12.479089 : Epoch  5, Batch    104, Loss  0.863518, Average Loss  0.869416, Time  0.237463
2021-09-11 12:12:15.057013 : Epoch  5, Batch    105, Loss  0.857788, Average Loss  0.869248, Time  0.240435
2021-09-11 12:12:17.622975 : Epoch  5, Batch    106, Loss  0.877241, Average Loss  0.869231, Time  0.237597
2021-09-11 12:12:20.200855 : Epoch  5, Batch    107, Loss  0.875709, Average Loss  0.869240, Time  0.238740
2021-09-11 12:12:22.770904 : Epoch  5, Batch    108, Loss  0.852046, Average Loss  0.869118, Time  0.237705
2021-09-11 12:12:25.347845 : Epoch  5, Batch    109, Loss  0.860784, Average Loss  0.869038, Time  0.240506
2021-09-11 12:12:27.920984 : Epoch  5, Batch    110, Loss  0.847443, Average Loss  0.868993, Time  0.240586
2021-09-11 12:12:30.494038 : Epoch  5, Batch    111, Loss  0.859434, Average Loss  0.869020, Time  0.238618
2021-09-11 12:12:33.063870 : Epoch  5, Batch    112, Loss  0.871601, Average Loss  0.869086, Time  0.237771
2021-09-11 12:12:35.635224 : Epoch  5, Batch    113, Loss  0.879538, Average Loss  0.869105, Time  0.237816
2021-09-11 12:12:38.212037 : Epoch  5, Batch    114, Loss  0.842859, Average Loss  0.868973, Time  0.237707
2021-09-11 12:12:40.773323 : Epoch  5, Batch    115, Loss  0.875729, Average Loss  0.869109, Time  0.237182
2021-09-11 12:12:43.350386 : Epoch  5, Batch    116, Loss  0.875880, Average Loss  0.869096, Time  0.239940
2021-09-11 12:12:45.931344 : Epoch  5, Batch    117, Loss  0.879868, Average Loss  0.869062, Time  0.238023
2021-09-11 12:12:48.524031 : Epoch  5, Batch    118, Loss  0.850538, Average Loss  0.868920, Time  0.239897
2021-09-11 12:12:51.104217 : Epoch  5, Batch    119, Loss  0.862570, Average Loss  0.868901, Time  0.238977
2021-09-11 12:12:53.704974 : Epoch  5, Batch    120, Loss  0.866933, Average Loss  0.868846, Time  0.237664
2021-09-11 12:12:56.285631 : Epoch  5, Batch    121, Loss  0.867317, Average Loss  0.868843, Time  0.239605
2021-09-11 12:12:58.858106 : Epoch  5, Batch    122, Loss  0.881476, Average Loss  0.868999, Time  0.238059
2021-09-11 12:13:01.423582 : Epoch  5, Batch    123, Loss  0.848939, Average Loss  0.868953, Time  0.238454
2021-09-11 12:13:04.003878 : Epoch  5, Batch    124, Loss  0.880366, Average Loss  0.869027, Time  0.239832
2021-09-11 12:13:06.588364 : Epoch  5, Batch    125, Loss  0.895513, Average Loss  0.869106, Time  0.241696
2021-09-11 12:13:09.169376 : Epoch  5, Batch    126, Loss  0.866552, Average Loss  0.868987, Time  0.237485
2021-09-11 12:13:11.751899 : Epoch  5, Batch    127, Loss  0.862163, Average Loss  0.869043, Time  0.237825
2021-09-11 12:13:14.340685 : Epoch  5, Batch    128, Loss  0.871087, Average Loss  0.869071, Time  0.237983
2021-09-11 12:13:16.907024 : Epoch  5, Batch    129, Loss  0.874858, Average Loss  0.869027, Time  0.237826
2021-09-11 12:13:19.484428 : Epoch  5, Batch    130, Loss  0.870069, Average Loss  0.869171, Time  0.237404
2021-09-11 12:13:22.056442 : Epoch  5, Batch    131, Loss  0.873061, Average Loss  0.869150, Time  0.237492
2021-09-11 12:13:24.628348 : Epoch  5, Batch    132, Loss  0.874981, Average Loss  0.869031, Time  0.237544
2021-09-11 12:13:27.206565 : Epoch  5, Batch    133, Loss  0.862897, Average Loss  0.869019, Time  0.237335
2021-09-11 12:13:29.782566 : Epoch  5, Batch    134, Loss  0.881718, Average Loss  0.869174, Time  0.237794
2021-09-11 12:13:32.356103 : Epoch  5, Batch    135, Loss  0.881807, Average Loss  0.869154, Time  0.238487
2021-09-11 12:13:34.932061 : Epoch  5, Batch    136, Loss  0.858225, Average Loss  0.869141, Time  0.237461
2021-09-11 12:13:37.508789 : Epoch  5, Batch    137, Loss  0.883561, Average Loss  0.869100, Time  0.241545
2021-09-11 12:13:40.087648 : Epoch  5, Batch    138, Loss  0.840946, Average Loss  0.868949, Time  0.238251
2021-09-11 12:13:42.660404 : Epoch  5, Batch    139, Loss  0.868760, Average Loss  0.868817, Time  0.237370
2021-09-11 12:13:45.240221 : Epoch  5, Batch    140, Loss  0.863505, Average Loss  0.868815, Time  0.237447
2021-09-11 12:13:47.821158 : Epoch  5, Batch    141, Loss  0.861446, Average Loss  0.868729, Time  0.237470
2021-09-11 12:13:50.395292 : Epoch  5, Batch    142, Loss  0.854374, Average Loss  0.868600, Time  0.237450
2021-09-11 12:13:52.992371 : Epoch  5, Batch    143, Loss  0.887927, Average Loss  0.868587, Time  0.239025
2021-09-11 12:13:55.575394 : Epoch  5, Batch    144, Loss  0.844712, Average Loss  0.868436, Time  0.237570
2021-09-11 12:13:58.159126 : Epoch  5, Batch    145, Loss  0.886363, Average Loss  0.868490, Time  0.238077
2021-09-11 12:14:00.754923 : Epoch  5, Batch    146, Loss  0.869438, Average Loss  0.868423, Time  0.241453
2021-09-11 12:14:03.332181 : Epoch  5, Batch    147, Loss  0.878795, Average Loss  0.868378, Time  0.237741
2021-09-11 12:14:03.786715 : CheckPoint: Validation Loss  0.00061870, Best Loss  0.00057296
2021-09-11 12:14:05.394945 : Epoch  5, Batch   1457, Loss  0.887851, Average Loss  0.871340, Time  0.177042
2021-09-11 12:14:05.899894 : Epoch  5, Batch    148, Loss  0.881484, Average Loss  0.868425, Time  0.237782
2021-09-11 12:14:06.989112 : Epoch  5, Batch   1458, Loss  0.865500, Average Loss  0.871364, Time  0.171499
2021-09-11 12:14:08.482205 : Epoch  5, Batch    149, Loss  0.860676, Average Loss  0.868205, Time  0.239415
2021-09-11 12:14:08.584053 : Epoch  5, Batch   1459, Loss  0.854558, Average Loss  0.871334, Time  0.171710
2021-09-11 12:14:10.195761 : Epoch  5, Batch   1460, Loss  0.869377, Average Loss  0.871407, Time  0.173465
2021-09-11 12:14:11.059037 : Epoch  5, Batch    150, Loss  0.860990, Average Loss  0.868088, Time  0.239152
2021-09-11 12:14:11.785013 : Epoch  5, Batch   1461, Loss  0.885198, Average Loss  0.871414, Time  0.172339
2021-09-11 12:14:13.391957 : Epoch  5, Batch   1462, Loss  0.906772, Average Loss  0.871560, Time  0.170594
2021-09-11 12:14:13.632171 : Epoch  5, Batch    151, Loss  0.842765, Average Loss  0.868016, Time  0.238208
2021-09-11 12:14:14.974389 : Epoch  5, Batch   1463, Loss  0.895616, Average Loss  0.871800, Time  0.170511
2021-09-11 12:14:16.203133 : Epoch  5, Batch    152, Loss  0.864093, Average Loss  0.867994, Time  0.237788
2021-09-11 12:14:16.550040 : Epoch  5, Batch   1464, Loss  0.856177, Average Loss  0.871855, Time  0.172206
2021-09-11 12:14:18.135037 : Epoch  5, Batch   1465, Loss  0.869099, Average Loss  0.871989, Time  0.170590
2021-09-11 12:14:18.791442 : Epoch  5, Batch    153, Loss  0.862289, Average Loss  0.867951, Time  0.238043
2021-09-11 12:14:19.738038 : Epoch  5, Batch   1466, Loss  0.888727, Average Loss  0.872105, Time  0.173240
2021-09-11 12:14:21.334035 : Epoch  5, Batch   1467, Loss  0.846436, Average Loss  0.871921, Time  0.174117
2021-09-11 12:14:21.362148 : Epoch  5, Batch    154, Loss  0.869257, Average Loss  0.867930, Time  0.237605
2021-09-11 12:14:22.956042 : Epoch  5, Batch   1468, Loss  0.878499, Average Loss  0.871973, Time  0.172305
2021-09-11 12:14:23.946382 : Epoch  5, Batch    155, Loss  0.844352, Average Loss  0.867873, Time  0.237280
2021-09-11 12:14:24.547797 : Epoch  5, Batch   1469, Loss  0.851000, Average Loss  0.871977, Time  0.173747
2021-09-11 12:14:26.154740 : Epoch  5, Batch   1470, Loss  0.889765, Average Loss  0.872081, Time  0.171492
2021-09-11 12:14:26.542663 : Epoch  5, Batch    156, Loss  0.856658, Average Loss  0.867745, Time  0.238056
2021-09-11 12:14:27.736060 : Epoch  5, Batch   1471, Loss  0.855974, Average Loss  0.872000, Time  0.170525
2021-09-11 12:14:29.107542 : Epoch  5, Batch    157, Loss  0.864665, Average Loss  0.867708, Time  0.237259
2021-09-11 12:14:29.347040 : Epoch  5, Batch   1472, Loss  0.868694, Average Loss  0.871924, Time  0.177864
2021-09-11 12:14:30.952925 : Epoch  5, Batch   1473, Loss  0.858789, Average Loss  0.871924, Time  0.171964
2021-09-11 12:14:31.679100 : Epoch  5, Batch    158, Loss  0.864883, Average Loss  0.867721, Time  0.239138
2021-09-11 12:14:32.534947 : Epoch  5, Batch   1474, Loss  0.913480, Average Loss  0.872223, Time  0.171082
2021-09-11 12:14:34.132751 : Epoch  5, Batch   1475, Loss  0.850585, Average Loss  0.872161, Time  0.170212
2021-09-11 12:14:34.251877 : Epoch  5, Batch    159, Loss  0.863546, Average Loss  0.867577, Time  0.237664
2021-09-11 12:14:35.743871 : Epoch  5, Batch   1476, Loss  0.856760, Average Loss  0.871967, Time  0.170171
2021-09-11 12:14:36.842391 : Epoch  5, Batch    160, Loss  0.898391, Average Loss  0.867778, Time  0.237359
2021-09-11 12:14:37.351886 : Epoch  5, Batch   1477, Loss  0.872448, Average Loss  0.872054, Time  0.170598
2021-09-11 12:14:38.959056 : Epoch  5, Batch   1478, Loss  0.877287, Average Loss  0.872186, Time  0.172052
2021-09-11 12:14:39.416950 : Epoch  5, Batch    161, Loss  0.881370, Average Loss  0.867891, Time  0.237588
2021-09-11 12:14:40.546859 : Epoch  5, Batch   1479, Loss  0.875788, Average Loss  0.872108, Time  0.170125
2021-09-11 12:14:41.993392 : Epoch  5, Batch    162, Loss  0.886549, Average Loss  0.868036, Time  0.238014
2021-09-11 12:14:42.148824 : Epoch  5, Batch   1480, Loss  0.838732, Average Loss  0.871967, Time  0.171149
2021-09-11 12:14:43.754887 : Epoch  5, Batch   1481, Loss  0.852912, Average Loss  0.871881, Time  0.173376
2021-09-11 12:14:44.576578 : Epoch  5, Batch    163, Loss  0.878119, Average Loss  0.868034, Time  0.237369
2021-09-11 12:14:45.360038 : Epoch  5, Batch   1482, Loss  0.841386, Average Loss  0.871807, Time  0.170554
2021-09-11 12:14:46.968767 : Epoch  5, Batch   1483, Loss  0.882769, Average Loss  0.871955, Time  0.171299
2021-09-11 12:14:47.153388 : Epoch  5, Batch    164, Loss  0.904292, Average Loss  0.868181, Time  0.237719
2021-09-11 12:14:48.548855 : Epoch  5, Batch   1484, Loss  0.877065, Average Loss  0.872078, Time  0.170889
2021-09-11 12:14:49.721103 : Epoch  5, Batch    165, Loss  0.860657, Average Loss  0.868070, Time  0.237503
2021-09-11 12:14:50.139747 : Epoch  5, Batch   1485, Loss  0.868469, Average Loss  0.872183, Time  0.172912
2021-09-11 12:14:51.745779 : Epoch  5, Batch   1486, Loss  0.822191, Average Loss  0.872040, Time  0.173383
2021-09-11 12:14:52.314409 : Epoch  5, Batch    166, Loss  0.886405, Average Loss  0.868182, Time  0.237520
2021-09-11 12:14:53.352927 : Epoch  5, Batch   1487, Loss  0.902327, Average Loss  0.872115, Time  0.170476
2021-09-11 12:14:54.887010 : Epoch  5, Batch    167, Loss  0.878393, Average Loss  0.868264, Time  0.238923
2021-09-11 12:14:54.977817 : Epoch  5, Batch   1488, Loss  0.860358, Average Loss  0.872031, Time  0.172052
2021-09-11 12:14:56.576040 : Epoch  5, Batch   1489, Loss  0.879070, Average Loss  0.871970, Time  0.170084
2021-09-11 12:14:57.466514 : Epoch  5, Batch    168, Loss  0.878085, Average Loss  0.868300, Time  0.240698
2021-09-11 12:14:58.186786 : Epoch  5, Batch   1490, Loss  0.868039, Average Loss  0.871795, Time  0.177194
2021-09-11 12:14:59.787741 : Epoch  5, Batch   1491, Loss  0.899289, Average Loss  0.872013, Time  0.172794
2021-09-11 12:15:00.044404 : Epoch  5, Batch    169, Loss  0.880896, Average Loss  0.868427, Time  0.237562
2021-09-11 12:15:01.374786 : Epoch  5, Batch   1492, Loss  0.852447, Average Loss  0.871799, Time  0.170120
2021-09-11 12:15:02.620068 : Epoch  5, Batch    170, Loss  0.871323, Average Loss  0.868464, Time  0.237840
2021-09-11 12:15:02.956768 : Epoch  5, Batch   1493, Loss  0.851760, Average Loss  0.871519, Time  0.173270
2021-09-11 12:15:04.556042 : Epoch  5, Batch   1494, Loss  0.876265, Average Loss  0.871498, Time  0.171032
2021-09-11 12:15:05.192265 : Epoch  5, Batch    171, Loss  0.859781, Average Loss  0.868465, Time  0.237356
2021-09-11 12:15:06.137705 : Epoch  5, Batch   1495, Loss  0.880852, Average Loss  0.871658, Time  0.172429
2021-09-11 12:15:07.713128 : Epoch  5, Batch   1496, Loss  0.886638, Average Loss  0.871790, Time  0.170114
2021-09-11 12:15:07.777052 : Epoch  5, Batch    172, Loss  0.871821, Average Loss  0.868550, Time  0.237710
2021-09-11 12:15:09.304816 : Epoch  5, Batch   1497, Loss  0.856278, Average Loss  0.871728, Time  0.170308
2021-09-11 12:15:10.366087 : Epoch  5, Batch    173, Loss  0.882486, Average Loss  0.868610, Time  0.240290
2021-09-11 12:15:10.890041 : Epoch  5, Batch   1498, Loss  0.894484, Average Loss  0.871804, Time  0.171018
2021-09-11 12:15:12.489082 : Epoch  5, Batch   1499, Loss  0.842467, Average Loss  0.871610, Time  0.172318
2021-09-11 12:15:12.945383 : Epoch  5, Batch    174, Loss  0.873485, Average Loss  0.868660, Time  0.238186
2021-09-11 12:15:14.075859 : Epoch  5, Batch   1500, Loss  0.863613, Average Loss  0.871657, Time  0.170002
2021-09-11 12:15:15.511359 : Epoch  5, Batch    175, Loss  0.879781, Average Loss  0.868745, Time  0.237262
2021-09-11 12:15:15.656014 : Epoch  5, Batch   1501, Loss  0.835382, Average Loss  0.871577, Time  0.171071
2021-09-11 12:15:17.253748 : Epoch  5, Batch   1502, Loss  0.876559, Average Loss  0.871634, Time  0.171320
2021-09-11 12:15:18.085907 : Epoch  5, Batch    176, Loss  0.904656, Average Loss  0.868966, Time  0.237674
2021-09-11 12:15:18.858764 : Epoch  5, Batch   1503, Loss  0.867347, Average Loss  0.871767, Time  0.170204
2021-09-11 12:15:20.450392 : Epoch  5, Batch   1504, Loss  0.849272, Average Loss  0.871542, Time  0.170166
2021-09-11 12:15:22.028037 : Epoch  5, Batch   1505, Loss  0.861261, Average Loss  0.871390, Time  0.174419
2021-09-11 12:15:23.602761 : Epoch  5, Batch   1506, Loss  0.868412, Average Loss  0.871478, Time  0.174165
2021-09-11 12:15:25.191023 : Epoch  5, Batch   1507, Loss  0.848414, Average Loss  0.871405, Time  0.170374
2021-09-11 12:15:26.803044 : Epoch  5, Batch   1508, Loss  0.889145, Average Loss  0.871585, Time  0.172083
2021-09-11 12:15:28.400568 : Epoch  5, Batch   1509, Loss  0.864274, Average Loss  0.871662, Time  0.174067
2021-09-11 12:15:30.022900 : Epoch  5, Batch   1510, Loss  0.886416, Average Loss  0.871849, Time  0.170439
2021-09-11 12:15:31.628031 : Epoch  5, Batch   1511, Loss  0.859959, Average Loss  0.871813, Time  0.170053
2021-09-11 12:15:33.224756 : Epoch  5, Batch   1512, Loss  0.853035, Average Loss  0.871742, Time  0.175309
2021-09-11 12:15:34.824770 : Epoch  5, Batch   1513, Loss  0.873072, Average Loss  0.871687, Time  0.170286
2021-09-11 12:15:36.426047 : Epoch  5, Batch   1514, Loss  0.857691, Average Loss  0.871761, Time  0.173764
2021-09-11 12:15:38.046040 : Epoch  5, Batch   1515, Loss  0.887932, Average Loss  0.871864, Time  0.170036
2021-09-11 12:15:39.655762 : Epoch  5, Batch   1516, Loss  0.861185, Average Loss  0.871958, Time  0.170394
2021-09-11 12:15:41.276037 : Epoch  5, Batch   1517, Loss  0.885775, Average Loss  0.872036, Time  0.175675
2021-09-11 12:15:42.866808 : Epoch  5, Batch   1518, Loss  0.867516, Average Loss  0.871925, Time  0.176594
2021-09-11 12:15:44.453036 : Epoch  5, Batch   1519, Loss  0.871340, Average Loss  0.871860, Time  0.171511
2021-09-11 12:15:46.049498 : Epoch  5, Batch   1520, Loss  0.863872, Average Loss  0.871718, Time  0.170364
2021-09-11 12:15:47.651790 : Epoch  5, Batch   1521, Loss  0.878169, Average Loss  0.871736, Time  0.170154
2021-09-11 12:15:49.224065 : Epoch  5, Batch   1522, Loss  0.851111, Average Loss  0.871685, Time  0.171385
2021-09-11 12:15:50.828029 : Epoch  5, Batch   1523, Loss  0.860009, Average Loss  0.871652, Time  0.170148
2021-09-11 12:15:52.473769 : Epoch  5, Batch   1524, Loss  0.888098, Average Loss  0.871927, Time  0.170249
2021-09-11 12:15:54.076045 : Epoch  5, Batch   1525, Loss  0.857858, Average Loss  0.871776, Time  0.170866
2021-09-11 12:15:55.660902 : Epoch  5, Batch   1526, Loss  0.816688, Average Loss  0.871558, Time  0.171834
2021-09-11 12:15:57.255799 : Epoch  5, Batch   1527, Loss  0.879499, Average Loss  0.871546, Time  0.170188
2021-09-11 12:15:58.848781 : Epoch  5, Batch   1528, Loss  0.852875, Average Loss  0.871374, Time  0.174199
2021-09-11 12:16:00.430894 : Epoch  5, Batch   1529, Loss  0.870948, Average Loss  0.871292, Time  0.171018
2021-09-11 12:16:02.021986 : Epoch  5, Batch   1530, Loss  0.855742, Average Loss  0.871211, Time  0.170193
2021-09-11 12:16:03.617852 : Epoch  5, Batch   1531, Loss  0.872561, Average Loss  0.870926, Time  0.173358
2021-09-11 12:16:05.283788 : Epoch  5, Batch   1532, Loss  0.849501, Average Loss  0.870875, Time  0.175928
2021-09-11 12:16:06.874773 : Epoch  5, Batch   1533, Loss  0.855320, Average Loss  0.870727, Time  0.178323
2021-09-11 12:16:08.478750 : Epoch  5, Batch   1534, Loss  0.864566, Average Loss  0.870709, Time  0.181606
2021-09-11 12:16:10.079034 : Epoch  5, Batch   1535, Loss  0.907391, Average Loss  0.870923, Time  0.170109
2021-09-11 12:16:11.660769 : Epoch  5, Batch   1536, Loss  0.853202, Average Loss  0.870666, Time  0.173136
2021-09-11 12:16:13.243196 : Epoch  5, Batch   1537, Loss  0.886308, Average Loss  0.870757, Time  0.170883
2021-09-11 12:16:14.836887 : Epoch  5, Batch   1538, Loss  0.862253, Average Loss  0.870800, Time  0.170652
2021-09-11 12:16:16.433188 : Epoch  5, Batch   1539, Loss  0.873379, Average Loss  0.870837, Time  0.172732
2021-09-11 12:16:18.010752 : Epoch  5, Batch   1540, Loss  0.871193, Average Loss  0.870714, Time  0.170745
2021-09-11 12:16:19.612745 : Epoch  5, Batch   1541, Loss  0.861769, Average Loss  0.870760, Time  0.173769
2021-09-11 12:16:21.220733 : Epoch  5, Batch   1542, Loss  0.875938, Average Loss  0.870718, Time  0.174660
2021-09-11 12:16:22.835895 : Epoch  5, Batch   1543, Loss  0.872167, Average Loss  0.870862, Time  0.170260
2021-09-11 12:16:24.428830 : Epoch  5, Batch   1544, Loss  0.852370, Average Loss  0.870570, Time  0.171385
2021-09-11 12:16:26.038874 : Epoch  5, Batch   1545, Loss  0.862000, Average Loss  0.870558, Time  0.170628
2021-09-11 12:16:27.622820 : Epoch  5, Batch   1546, Loss  0.885194, Average Loss  0.870696, Time  0.172067
2021-09-11 12:16:29.201754 : Epoch  5, Batch   1547, Loss  0.872655, Average Loss  0.870810, Time  0.172114
2021-09-11 12:16:30.814080 : Epoch  5, Batch   1548, Loss  0.879191, Average Loss  0.870739, Time  0.170469
2021-09-11 12:16:32.407755 : Epoch  5, Batch   1549, Loss  0.853811, Average Loss  0.870672, Time  0.171970
2021-09-11 12:16:33.983093 : Epoch  5, Batch   1550, Loss  0.863991, Average Loss  0.870670, Time  0.170948
2021-09-11 12:16:35.569907 : Epoch  5, Batch   1551, Loss  0.884525, Average Loss  0.870682, Time  0.170174
2021-09-11 12:16:37.149747 : Epoch  5, Batch   1552, Loss  0.863948, Average Loss  0.870675, Time  0.171182
2021-09-11 12:16:38.759067 : Epoch  5, Batch   1553, Loss  0.874393, Average Loss  0.870637, Time  0.170426
2021-09-11 12:16:40.387037 : Epoch  5, Batch   1554, Loss  0.903592, Average Loss  0.870729, Time  0.170134
2021-09-11 12:16:41.995805 : Epoch  5, Batch   1555, Loss  0.868300, Average Loss  0.870702, Time  0.177459
2021-09-11 12:16:43.612036 : Epoch  5, Batch   1556, Loss  0.842830, Average Loss  0.870501, Time  0.170427
2021-09-11 12:19:19.655080 : CheckPoint: Validation Loss  0.00030074, Best Loss  0.00029019
2021-09-11 12:19:22.252096 : Epoch  5, Batch    177, Loss  0.874258, Average Loss  0.869035, Time  0.239793
2021-09-11 12:19:24.830919 : Epoch  5, Batch    178, Loss  0.875102, Average Loss  0.869093, Time  0.240621
2021-09-11 12:19:27.412076 : Epoch  5, Batch    179, Loss  0.866781, Average Loss  0.869080, Time  0.240438
2021-09-11 12:19:29.989638 : Epoch  5, Batch    180, Loss  0.880224, Average Loss  0.869181, Time  0.237654
2021-09-11 12:19:32.591959 : Epoch  5, Batch    181, Loss  0.882193, Average Loss  0.869212, Time  0.239619
2021-09-11 12:19:35.170293 : Epoch  5, Batch    182, Loss  0.876302, Average Loss  0.869268, Time  0.237344
2021-09-11 12:19:37.747981 : Epoch  5, Batch    183, Loss  0.859064, Average Loss  0.869293, Time  0.237315
2021-09-11 12:19:40.336380 : Epoch  5, Batch    184, Loss  0.878091, Average Loss  0.869252, Time  0.237368
2021-09-11 12:19:42.919380 : Epoch  5, Batch    185, Loss  0.862259, Average Loss  0.869165, Time  0.237414
2021-09-11 12:19:45.502173 : Epoch  5, Batch    186, Loss  0.879402, Average Loss  0.869222, Time  0.238570
2021-09-11 12:19:48.076158 : Epoch  5, Batch    187, Loss  0.871102, Average Loss  0.869134, Time  0.237050
2021-09-11 12:19:50.644476 : Epoch  5, Batch    188, Loss  0.843036, Average Loss  0.869030, Time  0.238830
2021-09-11 12:19:53.250865 : Epoch  5, Batch    189, Loss  0.882725, Average Loss  0.869135, Time  0.238042
2021-09-11 12:19:55.840881 : Epoch  5, Batch    190, Loss  0.863092, Average Loss  0.869174, Time  0.238021
2021-09-11 12:19:58.412249 : Epoch  5, Batch    191, Loss  0.851737, Average Loss  0.869264, Time  0.237633
2021-09-11 12:20:01.014745 : Epoch  5, Batch    192, Loss  0.857590, Average Loss  0.869256, Time  0.237942
2021-09-11 12:20:03.594337 : Epoch  5, Batch    193, Loss  0.883097, Average Loss  0.869401, Time  0.238137
2021-09-11 12:20:06.187378 : Epoch  5, Batch    194, Loss  0.849868, Average Loss  0.869300, Time  0.237473
2021-09-11 12:20:08.782822 : Epoch  5, Batch    195, Loss  0.876756, Average Loss  0.869369, Time  0.237318
2021-09-11 12:20:11.362387 : Epoch  5, Batch    196, Loss  0.875685, Average Loss  0.869404, Time  0.237533
2021-09-11 12:20:13.947203 : Epoch  5, Batch    197, Loss  0.853783, Average Loss  0.869285, Time  0.237939
2021-09-11 12:20:16.527715 : Epoch  5, Batch    198, Loss  0.846934, Average Loss  0.869152, Time  0.240436
2021-09-11 12:20:19.099834 : Epoch  5, Batch    199, Loss  0.868360, Average Loss  0.869200, Time  0.237754
2021-09-11 12:20:21.674009 : Epoch  5, Batch    200, Loss  0.873632, Average Loss  0.869212, Time  0.237738
2021-09-11 12:20:24.253067 : Epoch  5, Batch    201, Loss  0.873494, Average Loss  0.869203, Time  0.237915
2021-09-11 12:20:26.848686 : Epoch  5, Batch    202, Loss  0.858425, Average Loss  0.869168, Time  0.238069
2021-09-11 12:20:29.430088 : Epoch  5, Batch    203, Loss  0.894512, Average Loss  0.869278, Time  0.238341
2021-09-11 12:20:32.008915 : Epoch  5, Batch    204, Loss  0.867073, Average Loss  0.869236, Time  0.239309
2021-09-11 12:20:34.592886 : Epoch  5, Batch    205, Loss  0.881604, Average Loss  0.869319, Time  0.240886
2021-09-11 12:20:37.172239 : Epoch  5, Batch    206, Loss  0.870839, Average Loss  0.869371, Time  0.237617
2021-09-11 12:20:39.749099 : Epoch  5, Batch    207, Loss  0.881329, Average Loss  0.869409, Time  0.238220
2021-09-11 12:20:42.325992 : Epoch  5, Batch    208, Loss  0.880016, Average Loss  0.869365, Time  0.237479
2021-09-11 12:20:44.917216 : Epoch  5, Batch    209, Loss  0.878017, Average Loss  0.869410, Time  0.237788
2021-09-11 12:20:47.496923 : Epoch  5, Batch    210, Loss  0.871222, Average Loss  0.869413, Time  0.239026
2021-09-11 12:20:50.083864 : Epoch  5, Batch    211, Loss  0.863316, Average Loss  0.869385, Time  0.238050
2021-09-11 12:20:52.663700 : Epoch  5, Batch    212, Loss  0.880784, Average Loss  0.869492, Time  0.238316
2021-09-11 12:20:55.243732 : Epoch  5, Batch    213, Loss  0.875882, Average Loss  0.869515, Time  0.238454
2021-09-11 12:20:57.839383 : Epoch  5, Batch    214, Loss  0.868634, Average Loss  0.869445, Time  0.238361
2021-09-11 12:21:00.423216 : Epoch  5, Batch    215, Loss  0.863047, Average Loss  0.869404, Time  0.238590
2021-09-11 12:21:03.010966 : Epoch  5, Batch    216, Loss  0.863371, Average Loss  0.869350, Time  0.237791
2021-09-11 12:21:05.591040 : Epoch  5, Batch    217, Loss  0.870602, Average Loss  0.869389, Time  0.237806
2021-09-11 12:21:08.171072 : Epoch  5, Batch    218, Loss  0.881447, Average Loss  0.869428, Time  0.237843
2021-09-11 12:21:10.752812 : Epoch  5, Batch    219, Loss  0.876071, Average Loss  0.869492, Time  0.240926
2021-09-11 12:21:13.340157 : Epoch  5, Batch    220, Loss  0.849827, Average Loss  0.869485, Time  0.237832
2021-09-11 12:21:15.923355 : Epoch  5, Batch    221, Loss  0.894798, Average Loss  0.869660, Time  0.237552
2021-09-11 12:21:18.517959 : Epoch  5, Batch    222, Loss  0.874973, Average Loss  0.869738, Time  0.238131
2021-09-11 12:21:21.085708 : Epoch  5, Batch    223, Loss  0.871691, Average Loss  0.869748, Time  0.237514
2021-09-11 12:21:23.663851 : Epoch  5, Batch    224, Loss  0.863868, Average Loss  0.869635, Time  0.237610
2021-09-11 12:21:25.099728 : CheckPoint: Validation Loss  0.00061285, Best Loss  0.00057296
2021-09-11 12:21:26.236040 : Epoch  5, Batch    225, Loss  0.889583, Average Loss  0.869707, Time  0.237461
2021-09-11 12:21:26.740967 : Epoch  5, Batch   1557, Loss  0.860314, Average Loss  0.870538, Time  0.175569
2021-09-11 12:21:28.344744 : Epoch  5, Batch   1558, Loss  0.865295, Average Loss  0.870533, Time  0.170925
2021-09-11 12:21:28.813030 : Epoch  5, Batch    226, Loss  0.850448, Average Loss  0.869467, Time  0.237065
2021-09-11 12:21:29.946861 : Epoch  5, Batch   1559, Loss  0.855999, Average Loss  0.870381, Time  0.170387
2021-09-11 12:21:31.384876 : Epoch  5, Batch    227, Loss  0.854189, Average Loss  0.869441, Time  0.239089
2021-09-11 12:21:31.550780 : Epoch  5, Batch   1560, Loss  0.871134, Average Loss  0.870398, Time  0.170731
2021-09-11 12:21:33.149879 : Epoch  5, Batch   1561, Loss  0.851802, Average Loss  0.870197, Time  0.173807
2021-09-11 12:21:33.958131 : Epoch  5, Batch    228, Loss  0.868620, Average Loss  0.869387, Time  0.237700
2021-09-11 12:21:34.782042 : Epoch  5, Batch   1562, Loss  0.858698, Average Loss  0.870121, Time  0.179005
2021-09-11 12:21:36.407033 : Epoch  5, Batch   1563, Loss  0.878269, Average Loss  0.870052, Time  0.173145
2021-09-11 12:21:36.539204 : Epoch  5, Batch    229, Loss  0.856916, Average Loss  0.869370, Time  0.243657
2021-09-11 12:21:38.000040 : Epoch  5, Batch   1564, Loss  0.861479, Average Loss  0.869956, Time  0.172169
2021-09-11 12:21:39.121130 : Epoch  5, Batch    230, Loss  0.874911, Average Loss  0.869470, Time  0.237729
2021-09-11 12:21:39.586031 : Epoch  5, Batch   1565, Loss  0.852673, Average Loss  0.869723, Time  0.173725
2021-09-11 12:21:41.176036 : Epoch  5, Batch   1566, Loss  0.844388, Average Loss  0.869646, Time  0.171631
2021-09-11 12:21:41.700088 : Epoch  5, Batch    231, Loss  0.877158, Average Loss  0.869486, Time  0.237318
2021-09-11 12:21:42.766891 : Epoch  5, Batch   1567, Loss  0.871109, Average Loss  0.869741, Time  0.172617
2021-09-11 12:21:44.274867 : Epoch  5, Batch    232, Loss  0.880449, Average Loss  0.869552, Time  0.237541
2021-09-11 12:21:44.357041 : Epoch  5, Batch   1568, Loss  0.889662, Average Loss  0.869861, Time  0.171400
2021-09-11 12:21:45.961859 : Epoch  5, Batch   1569, Loss  0.876507, Average Loss  0.869776, Time  0.170100
2021-09-11 12:21:46.865178 : Epoch  5, Batch    233, Loss  0.866690, Average Loss  0.869662, Time  0.237238
2021-09-11 12:21:47.580908 : Epoch  5, Batch   1570, Loss  0.856177, Average Loss  0.869761, Time  0.170443
2021-09-11 12:21:49.179039 : Epoch  5, Batch   1571, Loss  0.845448, Average Loss  0.869582, Time  0.170042
2021-09-11 12:21:49.444901 : Epoch  5, Batch    234, Loss  0.872063, Average Loss  0.869638, Time  0.238776
2021-09-11 12:21:50.825894 : Epoch  5, Batch   1572, Loss  0.908977, Average Loss  0.869866, Time  0.170148
2021-09-11 12:21:52.010983 : Epoch  5, Batch    235, Loss  0.850817, Average Loss  0.869524, Time  0.237520
2021-09-11 12:21:52.442033 : Epoch  5, Batch   1573, Loss  0.864477, Average Loss  0.869789, Time  0.170478
2021-09-11 12:21:54.042049 : Epoch  5, Batch   1574, Loss  0.866315, Average Loss  0.869878, Time  0.171124
2021-09-11 12:21:54.589720 : Epoch  5, Batch    236, Loss  0.883737, Average Loss  0.869621, Time  0.237851
2021-09-11 12:21:55.651064 : Epoch  5, Batch   1575, Loss  0.874253, Average Loss  0.869989, Time  0.173845
2021-09-11 12:21:57.160040 : Epoch  5, Batch    237, Loss  0.862737, Average Loss  0.869456, Time  0.237909
2021-09-11 12:21:57.265830 : Epoch  5, Batch   1576, Loss  0.854037, Average Loss  0.869777, Time  0.181434
2021-09-11 12:21:58.883970 : Epoch  5, Batch   1577, Loss  0.889293, Average Loss  0.869973, Time  0.200580
2021-09-11 12:21:59.750894 : Epoch  5, Batch    238, Loss  0.885770, Average Loss  0.869607, Time  0.237935
2021-09-11 12:22:00.492040 : Epoch  5, Batch   1578, Loss  0.885460, Average Loss  0.869916, Time  0.170477
2021-09-11 12:22:02.094757 : Epoch  5, Batch   1579, Loss  0.873990, Average Loss  0.869971, Time  0.170395
2021-09-11 12:22:02.324218 : Epoch  5, Batch    239, Loss  0.857690, Average Loss  0.869620, Time  0.237684
2021-09-11 12:22:03.686747 : Epoch  5, Batch   1580, Loss  0.870732, Average Loss  0.869819, Time  0.171865
2021-09-11 12:22:04.890190 : Epoch  5, Batch    240, Loss  0.879545, Average Loss  0.869607, Time  0.238088
2021-09-11 12:22:05.296030 : Epoch  5, Batch   1581, Loss  0.882578, Average Loss  0.869866, Time  0.174753
2021-09-11 12:22:06.902836 : Epoch  5, Batch   1582, Loss  0.873063, Average Loss  0.869855, Time  0.176604
2021-09-11 12:22:07.525193 : Epoch  5, Batch    241, Loss  0.896325, Average Loss  0.869744, Time  0.237794
2021-09-11 12:22:08.524093 : Epoch  5, Batch   1583, Loss  0.878252, Average Loss  0.869928, Time  0.170627
2021-09-11 12:22:10.101811 : Epoch  5, Batch    242, Loss  0.877195, Average Loss  0.869828, Time  0.237349
2021-09-11 12:22:10.131069 : Epoch  5, Batch   1584, Loss  0.844079, Average Loss  0.869732, Time  0.175708
2021-09-11 12:22:11.717835 : Epoch  5, Batch   1585, Loss  0.862958, Average Loss  0.869684, Time  0.170920
2021-09-11 12:22:12.681984 : Epoch  5, Batch    243, Loss  0.886076, Average Loss  0.869917, Time  0.240123
2021-09-11 12:22:13.303748 : Epoch  5, Batch   1586, Loss  0.856999, Average Loss  0.869696, Time  0.174130
2021-09-11 12:22:14.901858 : Epoch  5, Batch   1587, Loss  0.842977, Average Loss  0.869480, Time  0.172082
2021-09-11 12:22:15.294017 : Epoch  5, Batch    244, Loss  0.865665, Average Loss  0.869839, Time  0.237735
2021-09-11 12:22:16.518784 : Epoch  5, Batch   1588, Loss  0.892214, Average Loss  0.869563, Time  0.179563
2021-09-11 12:22:17.878414 : Epoch  5, Batch    245, Loss  0.860460, Average Loss  0.869855, Time  0.240345
2021-09-11 12:22:18.126062 : Epoch  5, Batch   1589, Loss  0.881324, Average Loss  0.869584, Time  0.174041
2021-09-11 12:22:19.717956 : Epoch  5, Batch   1590, Loss  0.887994, Average Loss  0.869772, Time  0.174436
2021-09-11 12:22:20.459608 : Epoch  5, Batch    246, Loss  0.857149, Average Loss  0.869708, Time  0.237910
2021-09-11 12:22:21.320765 : Epoch  5, Batch   1591, Loss  0.871231, Average Loss  0.869734, Time  0.170993
2021-09-11 12:22:22.930063 : Epoch  5, Batch   1592, Loss  0.873642, Average Loss  0.869756, Time  0.173409
2021-09-11 12:22:23.039922 : Epoch  5, Batch    247, Loss  0.867640, Average Loss  0.869678, Time  0.238025
2021-09-11 12:22:24.525862 : Epoch  5, Batch   1593, Loss  0.900204, Average Loss  0.869855, Time  0.172160
2021-09-11 12:22:25.607394 : Epoch  5, Batch    248, Loss  0.864180, Average Loss  0.869739, Time  0.240238
2021-09-11 12:22:26.127306 : Epoch  5, Batch   1594, Loss  0.876452, Average Loss  0.869944, Time  0.170427
2021-09-11 12:22:27.763878 : Epoch  5, Batch   1595, Loss  0.873814, Average Loss  0.869903, Time  0.172255
2021-09-11 12:22:28.182463 : Epoch  5, Batch    249, Loss  0.863900, Average Loss  0.869696, Time  0.237381
2021-09-11 12:22:29.387958 : Epoch  5, Batch   1596, Loss  0.865097, Average Loss  0.869874, Time  0.170256
2021-09-11 12:22:30.756110 : Epoch  5, Batch    250, Loss  0.868335, Average Loss  0.869741, Time  0.238185
2021-09-11 12:22:31.025027 : Epoch  5, Batch   1597, Loss  0.868093, Average Loss  0.869968, Time  0.171203
2021-09-11 12:22:32.634043 : Epoch  5, Batch   1598, Loss  0.873035, Average Loss  0.869896, Time  0.174357
2021-09-11 12:22:33.330056 : Epoch  5, Batch    251, Loss  0.876627, Average Loss  0.869803, Time  0.238620
2021-09-11 12:22:34.252035 : Epoch  5, Batch   1599, Loss  0.849588, Average Loss  0.869750, Time  0.170568
2021-09-11 12:22:35.869759 : Epoch  5, Batch   1600, Loss  0.863261, Average Loss  0.869550, Time  0.173247
2021-09-11 12:22:35.910432 : Epoch  5, Batch    252, Loss  0.870215, Average Loss  0.869797, Time  0.242980
2021-09-11 12:22:37.487058 : Epoch  5, Batch   1601, Loss  0.862881, Average Loss  0.869396, Time  0.170314
2021-09-11 12:22:38.486091 : Epoch  5, Batch    253, Loss  0.863468, Average Loss  0.869763, Time  0.237757
2021-09-11 12:22:39.095074 : Epoch  5, Batch   1602, Loss  0.872652, Average Loss  0.869411, Time  0.176694
2021-09-11 12:22:40.698848 : Epoch  5, Batch   1603, Loss  0.885464, Average Loss  0.869477, Time  0.173359
2021-09-11 12:22:41.060087 : Epoch  5, Batch    254, Loss  0.854560, Average Loss  0.869658, Time  0.238265
2021-09-11 12:22:42.281845 : Epoch  5, Batch   1604, Loss  0.865746, Average Loss  0.869416, Time  0.170113
2021-09-11 12:22:43.642090 : Epoch  5, Batch    255, Loss  0.877713, Average Loss  0.869513, Time  0.237484
2021-09-11 12:22:43.875850 : Epoch  5, Batch   1605, Loss  0.867171, Average Loss  0.869395, Time  0.175777
2021-09-11 12:22:45.491039 : Epoch  5, Batch   1606, Loss  0.864650, Average Loss  0.869326, Time  0.170062
2021-09-11 12:22:46.241993 : Epoch  5, Batch    256, Loss  0.882466, Average Loss  0.869536, Time  0.237773
2021-09-11 12:22:47.092732 : Epoch  5, Batch   1607, Loss  0.843882, Average Loss  0.869142, Time  0.169936
2021-09-11 12:22:48.694042 : Epoch  5, Batch   1608, Loss  0.870713, Average Loss  0.869010, Time  0.173804
2021-09-11 12:22:48.818309 : Epoch  5, Batch    257, Loss  0.886133, Average Loss  0.869646, Time  0.239660
2021-09-11 12:22:50.273032 : Epoch  5, Batch   1609, Loss  0.843115, Average Loss  0.868640, Time  0.169746
2021-09-11 12:22:51.386250 : Epoch  5, Batch    258, Loss  0.889587, Average Loss  0.869729, Time  0.239925
2021-09-11 12:22:51.887770 : Epoch  5, Batch   1610, Loss  0.866064, Average Loss  0.868555, Time  0.178029
2021-09-11 12:22:53.528867 : Epoch  5, Batch   1611, Loss  0.853780, Average Loss  0.868511, Time  0.180228
2021-09-11 12:22:53.956082 : Epoch  5, Batch    259, Loss  0.877527, Average Loss  0.869795, Time  0.238451
2021-09-11 12:22:55.141791 : Epoch  5, Batch   1612, Loss  0.880325, Average Loss  0.868540, Time  0.170802
2021-09-11 12:22:56.519888 : Epoch  5, Batch    260, Loss  0.863317, Average Loss  0.869653, Time  0.238269
2021-09-11 12:22:56.747747 : Epoch  5, Batch   1613, Loss  0.887663, Average Loss  0.868563, Time  0.170228
2021-09-11 12:22:58.325764 : Epoch  5, Batch   1614, Loss  0.849822, Average Loss  0.868444, Time  0.174486
2021-09-11 12:22:59.096074 : Epoch  5, Batch    261, Loss  0.881824, Average Loss  0.869818, Time  0.238857
2021-09-11 12:22:59.934078 : Epoch  5, Batch   1615, Loss  0.880848, Average Loss  0.868627, Time  0.169963
2021-09-11 12:23:01.536047 : Epoch  5, Batch   1616, Loss  0.873657, Average Loss  0.868650, Time  0.174878
2021-09-11 12:23:01.670377 : Epoch  5, Batch    262, Loss  0.872972, Average Loss  0.869891, Time  0.238276
2021-09-11 12:23:03.134748 : Epoch  5, Batch   1617, Loss  0.880808, Average Loss  0.868721, Time  0.173906
2021-09-11 12:23:04.236474 : Epoch  5, Batch    263, Loss  0.897910, Average Loss  0.870101, Time  0.237512
2021-09-11 12:23:04.730826 : Epoch  5, Batch   1618, Loss  0.852155, Average Loss  0.868645, Time  0.170678
2021-09-11 12:23:06.309694 : Epoch  5, Batch   1619, Loss  0.899266, Average Loss  0.868797, Time  0.170385
2021-09-11 12:23:06.816366 : Epoch  5, Batch    264, Loss  0.873652, Average Loss  0.870058, Time  0.237447
2021-09-11 12:23:07.895848 : Epoch  5, Batch   1620, Loss  0.845133, Average Loss  0.868669, Time  0.170938
2021-09-11 12:23:09.383079 : Epoch  5, Batch    265, Loss  0.877913, Average Loss  0.870133, Time  0.237871
2021-09-11 12:23:09.500026 : Epoch  5, Batch   1621, Loss  0.887106, Average Loss  0.868711, Time  0.170290
2021-09-11 12:23:11.092829 : Epoch  5, Batch   1622, Loss  0.843775, Average Loss  0.868529, Time  0.169668
2021-09-11 12:23:11.949576 : Epoch  5, Batch    266, Loss  0.854976, Average Loss  0.870030, Time  0.237516
2021-09-11 12:23:12.724751 : Epoch  5, Batch   1623, Loss  0.858450, Average Loss  0.868298, Time  0.177961
2021-09-11 12:23:14.332895 : Epoch  5, Batch   1624, Loss  0.866518, Average Loss  0.868307, Time  0.173424
2021-09-11 12:23:14.520936 : Epoch  5, Batch    267, Loss  0.888800, Average Loss  0.870056, Time  0.237306
2021-09-11 12:23:15.936745 : Epoch  5, Batch   1625, Loss  0.867252, Average Loss  0.868407, Time  0.174252
2021-09-11 12:23:17.087384 : Epoch  5, Batch    268, Loss  0.866531, Average Loss  0.870092, Time  0.237607
2021-09-11 12:23:17.538034 : Epoch  5, Batch   1626, Loss  0.880716, Average Loss  0.868473, Time  0.170704
2021-09-11 12:23:19.133800 : Epoch  5, Batch   1627, Loss  0.879972, Average Loss  0.868566, Time  0.175067
2021-09-11 12:23:19.668388 : Epoch  5, Batch    269, Loss  0.856505, Average Loss  0.870036, Time  0.238241
2021-09-11 12:23:20.742757 : Epoch  5, Batch   1628, Loss  0.886772, Average Loss  0.868705, Time  0.178278
2021-09-11 12:23:22.242092 : Epoch  5, Batch    270, Loss  0.860712, Average Loss  0.869975, Time  0.237883
2021-09-11 12:23:22.344027 : Epoch  5, Batch   1629, Loss  0.870678, Average Loss  0.868774, Time  0.170162
2021-09-11 12:23:23.968029 : Epoch  5, Batch   1630, Loss  0.858805, Average Loss  0.868685, Time  0.169680
2021-09-11 12:23:24.812873 : Epoch  5, Batch    271, Loss  0.858528, Average Loss  0.870021, Time  0.237231
2021-09-11 12:23:25.567039 : Epoch  5, Batch   1631, Loss  0.871054, Average Loss  0.868738, Time  0.170967
2021-09-11 12:23:27.166980 : Epoch  5, Batch   1632, Loss  0.873673, Average Loss  0.868901, Time  0.169962
2021-09-11 12:23:27.386433 : Epoch  5, Batch    272, Loss  0.877730, Average Loss  0.870080, Time  0.237108
2021-09-11 12:23:28.749044 : Epoch  5, Batch   1633, Loss  0.901593, Average Loss  0.869023, Time  0.170162
2021-09-11 12:23:29.965385 : Epoch  5, Batch    273, Loss  0.884866, Average Loss  0.870074, Time  0.237638
2021-09-11 12:23:30.337232 : Epoch  5, Batch   1634, Loss  0.889259, Average Loss  0.869156, Time  0.169975
2021-09-11 12:23:31.910784 : Epoch  5, Batch   1635, Loss  0.871508, Average Loss  0.869253, Time  0.170080
2021-09-11 12:23:32.530714 : Epoch  5, Batch    274, Loss  0.849060, Average Loss  0.870013, Time  0.237180
2021-09-11 12:23:33.512822 : Epoch  5, Batch   1636, Loss  0.861019, Average Loss  0.869123, Time  0.171989
2021-09-11 12:23:35.098198 : Epoch  5, Batch    275, Loss  0.877099, Average Loss  0.870005, Time  0.237286
2021-09-11 12:23:35.115817 : Epoch  5, Batch   1637, Loss  0.875435, Average Loss  0.868995, Time  0.170357
2021-09-11 12:23:36.712033 : Epoch  5, Batch   1638, Loss  0.848090, Average Loss  0.868961, Time  0.169860
2021-09-11 12:23:37.675891 : Epoch  5, Batch    276, Loss  0.877420, Average Loss  0.869944, Time  0.237506
2021-09-11 12:23:38.412070 : Epoch  5, Batch   1639, Loss  0.890604, Average Loss  0.869088, Time  0.171661
2021-09-11 12:23:40.015826 : Epoch  5, Batch   1640, Loss  0.857513, Average Loss  0.869040, Time  0.170561
2021-09-11 12:23:41.621751 : Epoch  5, Batch   1641, Loss  0.885264, Average Loss  0.869147, Time  0.170325
2021-09-11 12:23:43.238754 : Epoch  5, Batch   1642, Loss  0.890354, Average Loss  0.869393, Time  0.170932
2021-09-11 12:23:44.838767 : Epoch  5, Batch   1643, Loss  0.860752, Average Loss  0.869299, Time  0.173780
2021-09-11 12:23:46.475815 : Epoch  5, Batch   1644, Loss  0.853949, Average Loss  0.869300, Time  0.170677
2021-09-11 12:23:48.091766 : Epoch  5, Batch   1645, Loss  0.893060, Average Loss  0.869458, Time  0.174022
2021-09-11 12:23:49.667800 : Epoch  5, Batch   1646, Loss  0.820400, Average Loss  0.869116, Time  0.169690
2021-09-11 12:23:51.255035 : Epoch  5, Batch   1647, Loss  0.884465, Average Loss  0.869064, Time  0.169975
2021-09-11 12:23:52.859848 : Epoch  5, Batch   1648, Loss  0.865184, Average Loss  0.869114, Time  0.174079
2021-09-11 12:23:54.479773 : Epoch  5, Batch   1649, Loss  0.858908, Average Loss  0.869067, Time  0.169807
2021-09-11 12:23:56.073912 : Epoch  5, Batch   1650, Loss  0.827300, Average Loss  0.868798, Time  0.175129
2021-09-11 12:23:57.669752 : Epoch  5, Batch   1651, Loss  0.862729, Average Loss  0.868619, Time  0.170106
2021-09-11 12:23:59.270875 : Epoch  5, Batch   1652, Loss  0.905273, Average Loss  0.868630, Time  0.176975
2021-09-11 12:24:00.889027 : Epoch  5, Batch   1653, Loss  0.859964, Average Loss  0.868696, Time  0.170910
2021-09-11 12:24:02.478922 : Epoch  5, Batch   1654, Loss  0.861209, Average Loss  0.868609, Time  0.172082
2021-09-11 12:24:04.056238 : Epoch  5, Batch   1655, Loss  0.895569, Average Loss  0.868695, Time  0.170679
2021-09-11 12:24:05.629825 : Epoch  5, Batch   1656, Loss  0.858952, Average Loss  0.868676, Time  0.169837
2021-09-11 12:27:39.230742 : CheckPoint: Validation Loss  0.00029902, Best Loss  0.00029019
2021-09-11 12:27:41.857900 : Epoch  5, Batch    277, Loss  0.870748, Average Loss  0.869911, Time  0.274781
2021-09-11 12:27:44.484337 : Epoch  5, Batch    278, Loss  0.856997, Average Loss  0.869868, Time  0.245011
2021-09-11 12:27:47.059069 : Epoch  5, Batch    279, Loss  0.888857, Average Loss  0.870012, Time  0.239218
2021-09-11 12:27:49.637302 : Epoch  5, Batch    280, Loss  0.881174, Average Loss  0.870096, Time  0.238204
2021-09-11 12:27:52.221010 : Epoch  5, Batch    281, Loss  0.875865, Average Loss  0.870130, Time  0.237840
2021-09-11 12:27:54.792415 : Epoch  5, Batch    282, Loss  0.882007, Average Loss  0.870159, Time  0.237470
2021-09-11 12:27:57.373839 : Epoch  5, Batch    283, Loss  0.844917, Average Loss  0.870133, Time  0.238689
2021-09-11 12:27:59.961379 : Epoch  5, Batch    284, Loss  0.858490, Average Loss  0.870084, Time  0.240739
2021-09-11 12:28:02.543374 : Epoch  5, Batch    285, Loss  0.892979, Average Loss  0.870207, Time  0.238022
2021-09-11 12:28:05.118619 : Epoch  5, Batch    286, Loss  0.867861, Average Loss  0.870177, Time  0.237224
2021-09-11 12:28:07.685889 : Epoch  5, Batch    287, Loss  0.882055, Average Loss  0.870348, Time  0.238064
2021-09-11 12:28:10.265264 : Epoch  5, Batch    288, Loss  0.882837, Average Loss  0.870467, Time  0.237846
2021-09-11 12:28:12.852614 : Epoch  5, Batch    289, Loss  0.873336, Average Loss  0.870597, Time  0.237298
2021-09-11 12:28:15.430256 : Epoch  5, Batch    290, Loss  0.874349, Average Loss  0.870613, Time  0.238254
2021-09-11 12:28:18.031291 : Epoch  5, Batch    291, Loss  0.877919, Average Loss  0.870697, Time  0.237422
2021-09-11 12:28:20.610095 : Epoch  5, Batch    292, Loss  0.887201, Average Loss  0.870667, Time  0.238145
2021-09-11 12:28:23.187061 : Epoch  5, Batch    293, Loss  0.854607, Average Loss  0.870648, Time  0.237777
2021-09-11 12:28:25.770031 : Epoch  5, Batch    294, Loss  0.888090, Average Loss  0.870701, Time  0.237638
2021-09-11 12:28:28.345724 : Epoch  5, Batch    295, Loss  0.877088, Average Loss  0.870856, Time  0.237576
2021-09-11 12:28:30.926979 : Epoch  5, Batch    296, Loss  0.887586, Average Loss  0.870898, Time  0.239193
2021-09-11 12:28:33.504905 : Epoch  5, Batch    297, Loss  0.837649, Average Loss  0.870804, Time  0.237485
2021-09-11 12:28:36.087009 : Epoch  5, Batch    298, Loss  0.866111, Average Loss  0.870835, Time  0.237346
2021-09-11 12:28:38.656602 : Epoch  5, Batch    299, Loss  0.857314, Average Loss  0.870723, Time  0.237524
2021-09-11 12:28:41.231233 : Epoch  5, Batch    300, Loss  0.868209, Average Loss  0.870715, Time  0.237550
2021-09-11 12:28:43.817382 : Epoch  5, Batch    301, Loss  0.861390, Average Loss  0.870635, Time  0.238508
2021-09-11 12:28:46.407135 : Epoch  5, Batch    302, Loss  0.865577, Average Loss  0.870589, Time  0.237174
2021-09-11 12:28:46.784722 : CheckPoint: Validation Loss  0.00059807, Best Loss  0.00057296
2021-09-11 12:28:48.380204 : Epoch  5, Batch   1657, Loss  0.874715, Average Loss  0.868611, Time  0.179755
2021-09-11 12:28:48.985175 : Epoch  5, Batch    303, Loss  0.859245, Average Loss  0.870626, Time  0.238139
2021-09-11 12:28:49.975737 : Epoch  5, Batch   1658, Loss  0.850359, Average Loss  0.868535, Time  0.175025
2021-09-11 12:28:51.572796 : Epoch  5, Batch   1659, Loss  0.874921, Average Loss  0.868637, Time  0.170181
2021-09-11 12:28:53.199728 : Epoch  5, Batch   1660, Loss  0.908775, Average Loss  0.868834, Time  0.169696
2021-09-11 12:28:54.135902 : Epoch  5, Batch    305, Loss  0.891185, Average Loss  0.870748, Time  0.237477
2021-09-11 12:28:54.819821 : Epoch  5, Batch   1661, Loss  0.895112, Average Loss  0.868883, Time  0.169634
2021-09-11 12:28:56.442991 : Epoch  5, Batch   1662, Loss  0.834334, Average Loss  0.868521, Time  0.169802
2021-09-11 12:28:56.711959 : Epoch  5, Batch    306, Loss  0.868017, Average Loss  0.870702, Time  0.237548
2021-09-11 12:28:58.071013 : Epoch  5, Batch   1663, Loss  0.868349, Average Loss  0.868385, Time  0.180811
2021-09-11 12:28:59.277541 : Epoch  5, Batch    307, Loss  0.868416, Average Loss  0.870666, Time  0.237773
2021-09-11 12:28:59.670894 : Epoch  5, Batch   1664, Loss  0.860913, Average Loss  0.868408, Time  0.169716
2021-09-11 12:29:01.287980 : Epoch  5, Batch   1665, Loss  0.862078, Average Loss  0.868373, Time  0.170135
2021-09-11 12:29:01.852238 : Epoch  5, Batch    308, Loss  0.862068, Average Loss  0.870716, Time  0.237728
2021-09-11 12:29:02.889759 : Epoch  5, Batch   1666, Loss  0.875741, Average Loss  0.868308, Time  0.170153
2021-09-11 12:29:04.462186 : Epoch  5, Batch    309, Loss  0.874276, Average Loss  0.870783, Time  0.237587
2021-09-11 12:29:04.484651 : Epoch  5, Batch   1667, Loss  0.857853, Average Loss  0.868365, Time  0.169703
2021-09-11 12:29:06.096829 : Epoch  5, Batch   1668, Loss  0.858578, Average Loss  0.868266, Time  0.170003
2021-09-11 12:29:07.041219 : Epoch  5, Batch    310, Loss  0.892635, Average Loss  0.871009, Time  0.238287
2021-09-11 12:29:07.694030 : Epoch  5, Batch   1669, Loss  0.876541, Average Loss  0.868394, Time  0.175479
2021-09-11 12:29:09.298998 : Epoch  5, Batch   1670, Loss  0.842964, Average Loss  0.868160, Time  0.169631
2021-09-11 12:29:09.608167 : Epoch  5, Batch    311, Loss  0.879317, Average Loss  0.871109, Time  0.237235
2021-09-11 12:29:10.915984 : Epoch  5, Batch   1671, Loss  0.892121, Average Loss  0.868340, Time  0.171962
2021-09-11 12:29:12.173682 : Epoch  5, Batch    312, Loss  0.880692, Average Loss  0.871154, Time  0.237881
2021-09-11 12:29:12.514777 : Epoch  5, Batch   1672, Loss  0.854403, Average Loss  0.868269, Time  0.171593
2021-09-11 12:29:14.118851 : Epoch  5, Batch   1673, Loss  0.853738, Average Loss  0.868244, Time  0.169810
2021-09-11 12:29:14.747230 : Epoch  5, Batch    313, Loss  0.865007, Average Loss  0.871081, Time  0.238434
2021-09-11 12:29:15.731775 : Epoch  5, Batch   1674, Loss  0.861562, Average Loss  0.867984, Time  0.169736
2021-09-11 12:29:17.320068 : Epoch  5, Batch    314, Loss  0.897965, Average Loss  0.871357, Time  0.237537
2021-09-11 12:29:18.929807 : Epoch  5, Batch   1676, Loss  0.859534, Average Loss  0.868140, Time  0.169740
2021-09-11 12:29:19.921910 : Epoch  5, Batch    315, Loss  0.872269, Average Loss  0.871340, Time  0.238204
2021-09-11 12:29:20.541747 : Epoch  5, Batch   1677, Loss  0.842241, Average Loss  0.867989, Time  0.169837
2021-09-11 12:29:22.153001 : Epoch  5, Batch   1678, Loss  0.884476, Average Loss  0.868025, Time  0.172082
2021-09-11 12:29:22.495940 : Epoch  5, Batch    316, Loss  0.879856, Average Loss  0.871360, Time  0.237560
2021-09-11 12:29:23.767987 : Epoch  5, Batch   1679, Loss  0.867753, Average Loss  0.867985, Time  0.172074
2021-09-11 12:29:25.066946 : Epoch  5, Batch    317, Loss  0.890329, Average Loss  0.871412, Time  0.237520
2021-09-11 12:29:25.379779 : Epoch  5, Batch   1680, Loss  0.887712, Average Loss  0.868230, Time  0.169828
2021-09-11 12:29:27.004752 : Epoch  5, Batch   1681, Loss  0.884742, Average Loss  0.868389, Time  0.169881
2021-09-11 12:29:27.644871 : Epoch  5, Batch    318, Loss  0.857886, Average Loss  0.871449, Time  0.237387
2021-09-11 12:29:28.613762 : Epoch  5, Batch   1682, Loss  0.894674, Average Loss  0.868656, Time  0.169936
2021-09-11 12:29:30.219728 : Epoch  5, Batch   1683, Loss  0.890002, Average Loss  0.868692, Time  0.169997
2021-09-11 12:29:31.861771 : Epoch  5, Batch   1684, Loss  0.876655, Average Loss  0.868690, Time  0.171602
2021-09-11 12:29:32.793873 : Epoch  5, Batch    320, Loss  0.871554, Average Loss  0.871426, Time  0.240773
2021-09-11 12:29:33.507809 : Epoch  5, Batch   1685, Loss  0.824039, Average Loss  0.868467, Time  0.169365
2021-09-11 12:29:35.113747 : Epoch  5, Batch   1686, Loss  0.868530, Average Loss  0.868699, Time  0.170031
2021-09-11 12:29:35.373218 : Epoch  5, Batch    321, Loss  0.879325, Average Loss  0.871486, Time  0.238317
2021-09-11 12:29:36.727884 : Epoch  5, Batch   1687, Loss  0.843824, Average Loss  0.868407, Time  0.172409
2021-09-11 12:29:37.949591 : Epoch  5, Batch    322, Loss  0.886001, Average Loss  0.871509, Time  0.238514
2021-09-11 12:29:38.328811 : Epoch  5, Batch   1688, Loss  0.871494, Average Loss  0.868462, Time  0.170237
2021-09-11 12:29:39.922925 : Epoch  5, Batch   1689, Loss  0.878815, Average Loss  0.868461, Time  0.173338
2021-09-11 12:29:40.546034 : Epoch  5, Batch    323, Loss  0.862769, Average Loss  0.871578, Time  0.237533
2021-09-11 12:29:41.533788 : Epoch  5, Batch   1690, Loss  0.867715, Average Loss  0.868459, Time  0.173852
2021-09-11 12:29:43.125883 : Epoch  5, Batch   1691, Loss  0.877413, Average Loss  0.868350, Time  0.169797
2021-09-11 12:29:43.134806 : Epoch  5, Batch    324, Loss  0.867799, Average Loss  0.871515, Time  0.240536
2021-09-11 12:29:44.417180 : Epoch  5, Batch    325, Loss  0.861121, Average Loss  0.871343, Time  0.139789
2021-09-11 12:29:44.715939 : Epoch  5, Batch   1692, Loss  0.855863, Average Loss  0.868367, Time  0.173251
2021-09-11 12:29:46.294940 : Epoch  5, Batch   1693, Loss  0.898813, Average Loss  0.868602, Time  0.171882
2021-09-11 12:29:47.001416 : Epoch  5, Batch    326, Loss  0.880300, Average Loss  0.871412, Time  0.238538
2021-09-11 12:29:47.910858 : Epoch  5, Batch   1694, Loss  0.817149, Average Loss  0.868307, Time  0.175459
2021-09-11 12:29:49.514025 : Epoch  5, Batch   1695, Loss  0.862217, Average Loss  0.868214, Time  0.169996
2021-09-11 12:29:49.586375 : Epoch  5, Batch    327, Loss  0.853305, Average Loss  0.871368, Time  0.237378
2021-09-11 12:29:51.110790 : Epoch  5, Batch   1696, Loss  0.873628, Average Loss  0.868149, Time  0.171947
2021-09-11 12:29:52.153916 : Epoch  5, Batch    328, Loss  0.869820, Average Loss  0.871361, Time  0.241354
2021-09-11 12:29:52.707034 : Epoch  5, Batch   1697, Loss  0.874325, Average Loss  0.868239, Time  0.171104
2021-09-11 12:29:54.302803 : Epoch  5, Batch   1698, Loss  0.874678, Average Loss  0.868140, Time  0.170650
2021-09-11 12:29:54.728113 : Epoch  5, Batch    329, Loss  0.858262, Average Loss  0.871278, Time  0.237966
2021-09-11 12:29:55.864605 : Epoch  5, Batch   1699, Loss  0.883559, Average Loss  0.868345, Time  0.169946
2021-09-11 12:29:57.301035 : Epoch  5, Batch    330, Loss  0.888129, Average Loss  0.871369, Time  0.239260
2021-09-11 12:29:57.462858 : Epoch  5, Batch   1700, Loss  0.861589, Average Loss  0.868335, Time  0.171493
2021-09-11 12:29:59.060879 : Epoch  5, Batch   1701, Loss  0.878200, Average Loss  0.868549, Time  0.170722
2021-09-11 12:29:59.874023 : Epoch  5, Batch    331, Loss  0.872904, Average Loss  0.871368, Time  0.237841
2021-09-11 12:30:00.658756 : Epoch  5, Batch   1702, Loss  0.855126, Average Loss  0.868442, Time  0.170259
2021-09-11 12:30:02.246846 : Epoch  5, Batch   1703, Loss  0.866981, Average Loss  0.868440, Time  0.170372
2021-09-11 12:30:02.454912 : Epoch  5, Batch    332, Loss  0.859866, Average Loss  0.871292, Time  0.238352
2021-09-11 12:30:03.848029 : Epoch  5, Batch   1704, Loss  0.868541, Average Loss  0.868537, Time  0.173962
2021-09-11 12:30:05.021987 : Epoch  5, Batch    333, Loss  0.867426, Average Loss  0.871315, Time  0.237355
2021-09-11 12:30:05.455789 : Epoch  5, Batch   1705, Loss  0.858801, Average Loss  0.868524, Time  0.170323
2021-09-11 12:30:07.051859 : Epoch  5, Batch   1706, Loss  0.887987, Average Loss  0.868622, Time  0.169919
2021-09-11 12:30:07.594157 : Epoch  5, Batch    334, Loss  0.900027, Average Loss  0.871406, Time  0.238448
2021-09-11 12:30:08.672789 : Epoch  5, Batch   1707, Loss  0.870588, Average Loss  0.868733, Time  0.169734
2021-09-11 12:30:10.181636 : Epoch  5, Batch    335, Loss  0.851555, Average Loss  0.871255, Time  0.237592
2021-09-11 12:30:10.278018 : Epoch  5, Batch   1708, Loss  0.872969, Average Loss  0.868652, Time  0.170637
2021-09-11 12:30:11.860838 : Epoch  5, Batch   1709, Loss  0.865029, Average Loss  0.868656, Time  0.176189
2021-09-11 12:30:12.759846 : Epoch  5, Batch    336, Loss  0.879952, Average Loss  0.871364, Time  0.240115
2021-09-11 12:30:13.456034 : Epoch  5, Batch   1710, Loss  0.895604, Average Loss  0.868702, Time  0.173707
2021-09-11 12:30:15.076034 : Epoch  5, Batch   1711, Loss  0.864006, Average Loss  0.868722, Time  0.171848
2021-09-11 12:30:15.349933 : Epoch  5, Batch    337, Loss  0.860438, Average Loss  0.871248, Time  0.238025
2021-09-11 12:30:16.686872 : Epoch  5, Batch   1712, Loss  0.859995, Average Loss  0.868757, Time  0.172656
2021-09-11 12:30:17.920399 : Epoch  5, Batch    338, Loss  0.867015, Average Loss  0.871379, Time  0.238580
2021-09-11 12:30:18.262295 : Epoch  5, Batch   1713, Loss  0.856830, Average Loss  0.868676, Time  0.169860
2021-09-11 12:30:19.850939 : Epoch  5, Batch   1714, Loss  0.846729, Average Loss  0.868621, Time  0.174617
2021-09-11 12:30:20.497248 : Epoch  5, Batch    339, Loss  0.869563, Average Loss  0.871383, Time  0.238775
2021-09-11 12:30:21.439743 : Epoch  5, Batch   1715, Loss  0.863207, Average Loss  0.868497, Time  0.174902
2021-09-11 12:30:23.024800 : Epoch  5, Batch   1716, Loss  0.857051, Average Loss  0.868477, Time  0.170024
2021-09-11 12:30:23.072120 : Epoch  5, Batch    340, Loss  0.888645, Average Loss  0.871508, Time  0.237551
2021-09-11 12:30:24.632239 : Epoch  5, Batch   1717, Loss  0.894458, Average Loss  0.868520, Time  0.172027
2021-09-11 12:30:25.636103 : Epoch  5, Batch    341, Loss  0.896554, Average Loss  0.871684, Time  0.237600
2021-09-11 12:30:26.220804 : Epoch  5, Batch   1718, Loss  0.888347, Average Loss  0.868624, Time  0.169897
2021-09-11 12:30:27.801862 : Epoch  5, Batch   1719, Loss  0.839481, Average Loss  0.868465, Time  0.170011
2021-09-11 12:30:28.213856 : Epoch  5, Batch    342, Loss  0.882833, Average Loss  0.871826, Time  0.237667
2021-09-11 12:30:29.388760 : Epoch  5, Batch   1720, Loss  0.852733, Average Loss  0.868409, Time  0.181083
2021-09-11 12:30:30.785166 : Epoch  5, Batch    343, Loss  0.857261, Average Loss  0.871673, Time  0.237592
2021-09-11 12:30:30.992792 : Epoch  5, Batch   1721, Loss  0.875903, Average Loss  0.868398, Time  0.169766
2021-09-11 12:30:32.585850 : Epoch  5, Batch   1722, Loss  0.859205, Average Loss  0.868438, Time  0.172735
2021-09-11 12:30:33.357157 : Epoch  5, Batch    344, Loss  0.878721, Average Loss  0.871843, Time  0.237205
2021-09-11 12:30:34.197810 : Epoch  5, Batch   1723, Loss  0.852338, Average Loss  0.868400, Time  0.169995
2021-09-11 12:30:35.794779 : Epoch  5, Batch   1724, Loss  0.865464, Average Loss  0.868287, Time  0.169737
2021-09-11 12:30:35.928004 : Epoch  5, Batch    345, Loss  0.876842, Average Loss  0.871795, Time  0.239801
2021-09-11 12:30:37.409037 : Epoch  5, Batch   1725, Loss  0.902369, Average Loss  0.868509, Time  0.170765
2021-09-11 12:30:38.496912 : Epoch  5, Batch    346, Loss  0.883223, Average Loss  0.871864, Time  0.237702
2021-09-11 12:30:39.012033 : Epoch  5, Batch   1726, Loss  0.852157, Average Loss  0.868687, Time  0.171784
2021-09-11 12:30:40.598822 : Epoch  5, Batch   1727, Loss  0.862983, Average Loss  0.868604, Time  0.171300
2021-09-11 12:30:41.072160 : Epoch  5, Batch    347, Loss  0.852336, Average Loss  0.871732, Time  0.237586
2021-09-11 12:30:42.208836 : Epoch  5, Batch   1728, Loss  0.853721, Average Loss  0.868608, Time  0.172225
2021-09-11 12:30:43.656931 : Epoch  5, Batch    348, Loss  0.878251, Average Loss  0.871716, Time  0.241556
2021-09-11 12:30:43.801793 : Epoch  5, Batch   1729, Loss  0.849335, Average Loss  0.868500, Time  0.169735
2021-09-11 12:30:45.383758 : Epoch  5, Batch   1730, Loss  0.890974, Average Loss  0.868676, Time  0.173356
2021-09-11 12:30:46.233079 : Epoch  5, Batch    349, Loss  0.850510, Average Loss  0.871665, Time  0.238105
2021-09-11 12:30:46.987745 : Epoch  5, Batch   1731, Loss  0.855936, Average Loss  0.868593, Time  0.180865
2021-09-11 12:30:48.628066 : Epoch  5, Batch   1732, Loss  0.872296, Average Loss  0.868707, Time  0.174234
2021-09-11 12:30:48.823353 : Epoch  5, Batch    350, Loss  0.852279, Average Loss  0.871621, Time  0.240863
2021-09-11 12:30:50.220769 : Epoch  5, Batch   1733, Loss  0.854697, Average Loss  0.868704, Time  0.169731
2021-09-11 12:30:51.397120 : Epoch  5, Batch    351, Loss  0.859901, Average Loss  0.871707, Time  0.237172
2021-09-11 12:30:51.812794 : Epoch  5, Batch   1734, Loss  0.872266, Average Loss  0.868743, Time  0.170115
2021-09-11 12:30:53.406850 : Epoch  5, Batch   1735, Loss  0.873494, Average Loss  0.868573, Time  0.171310
2021-09-11 12:30:53.969688 : Epoch  5, Batch    352, Loss  0.868115, Average Loss  0.871727, Time  0.238113
2021-09-11 12:30:55.023752 : Epoch  5, Batch   1736, Loss  0.857853, Average Loss  0.868596, Time  0.171082
2021-09-11 12:30:56.542630 : Epoch  5, Batch    353, Loss  0.884716, Average Loss  0.871839, Time  0.238294
2021-09-11 12:30:56.615040 : Epoch  5, Batch   1737, Loss  0.877612, Average Loss  0.868553, Time  0.174746
2021-09-11 12:30:58.216841 : Epoch  5, Batch   1738, Loss  0.826703, Average Loss  0.868375, Time  0.170058
2021-09-11 12:30:59.127149 : Epoch  5, Batch    354, Loss  0.885320, Average Loss  0.871920, Time  0.238262
2021-09-11 12:30:59.820755 : Epoch  5, Batch   1739, Loss  0.876230, Average Loss  0.868389, Time  0.174446
2021-09-11 12:31:01.408797 : Epoch  5, Batch   1740, Loss  0.863838, Average Loss  0.868353, Time  0.173565
2021-09-11 12:31:01.698953 : Epoch  5, Batch    355, Loss  0.851043, Average Loss  0.871953, Time  0.238255
2021-09-11 12:31:03.014793 : Epoch  5, Batch   1741, Loss  0.883751, Average Loss  0.868463, Time  0.169826
2021-09-11 12:31:04.280093 : Epoch  5, Batch    356, Loss  0.876734, Average Loss  0.872053, Time  0.237795
2021-09-11 12:31:04.632979 : Epoch  5, Batch   1742, Loss  0.904501, Average Loss  0.868605, Time  0.169610
2021-09-11 12:31:06.254815 : Epoch  5, Batch   1743, Loss  0.874117, Average Loss  0.868615, Time  0.170149
2021-09-11 12:31:06.871210 : Epoch  5, Batch    357, Loss  0.881116, Average Loss  0.872136, Time  0.238226
2021-09-11 12:31:07.865753 : Epoch  5, Batch   1744, Loss  0.876520, Average Loss  0.868736, Time  0.171738
2021-09-11 12:31:09.457105 : Epoch  5, Batch    358, Loss  0.865197, Average Loss  0.872137, Time  0.237566
2021-09-11 12:31:09.488741 : Epoch  5, Batch   1745, Loss  0.863479, Average Loss  0.868743, Time  0.169768
2021-09-11 12:31:11.101867 : Epoch  5, Batch   1746, Loss  0.898335, Average Loss  0.868809, Time  0.172060
2021-09-11 12:31:12.034875 : Epoch  5, Batch    359, Loss  0.855701, Average Loss  0.872098, Time  0.238144
2021-09-11 12:31:12.716007 : Epoch  5, Batch   1747, Loss  0.855271, Average Loss  0.868722, Time  0.169471
2021-09-11 12:31:14.335780 : Epoch  5, Batch   1748, Loss  0.875111, Average Loss  0.868702, Time  0.169775
2021-09-11 12:31:14.617370 : Epoch  5, Batch    360, Loss  0.877267, Average Loss  0.871992, Time  0.239048
2021-09-11 12:31:15.948787 : Epoch  5, Batch   1749, Loss  0.877614, Average Loss  0.868821, Time  0.169913
2021-09-11 12:31:17.186032 : Epoch  5, Batch    361, Loss  0.891300, Average Loss  0.872042, Time  0.239524
2021-09-11 12:31:17.557836 : Epoch  5, Batch   1750, Loss  0.888233, Average Loss  0.868942, Time  0.170050
2021-09-11 12:31:19.188846 : Epoch  5, Batch   1751, Loss  0.867346, Average Loss  0.868856, Time  0.170325
2021-09-11 12:31:19.763870 : Epoch  5, Batch    362, Loss  0.889241, Average Loss  0.872055, Time  0.237710
2021-09-11 12:31:20.772540 : Epoch  5, Batch   1752, Loss  0.874938, Average Loss  0.868911, Time  0.170224
2021-09-11 12:31:22.341135 : Epoch  5, Batch    363, Loss  0.876863, Average Loss  0.872049, Time  0.240972
2021-09-11 12:31:22.358229 : Epoch  5, Batch   1753, Loss  0.898916, Average Loss  0.869034, Time  0.171278
2021-09-11 12:31:23.975884 : Epoch  5, Batch   1754, Loss  0.858361, Average Loss  0.868807, Time  0.170995
2021-09-11 12:31:24.907620 : Epoch  5, Batch    364, Loss  0.841163, Average Loss  0.871734, Time  0.239089
2021-09-11 12:31:25.573746 : Epoch  5, Batch   1755, Loss  0.885728, Average Loss  0.868895, Time  0.170706
2021-09-11 12:31:27.181732 : Epoch  5, Batch   1756, Loss  0.871163, Average Loss  0.869036, Time  0.181866
2021-09-11 12:31:27.475672 : Epoch  5, Batch    365, Loss  0.886173, Average Loss  0.871861, Time  0.237499
2021-09-11 12:31:30.053387 : Epoch  5, Batch    366, Loss  0.903911, Average Loss  0.871949, Time  0.237246
2021-09-11 12:31:32.637175 : Epoch  5, Batch    367, Loss  0.847057, Average Loss  0.871792, Time  0.240602
2021-09-11 12:31:35.215179 : Epoch  5, Batch    368, Loss  0.859445, Average Loss  0.871699, Time  0.237190
2021-09-11 12:31:37.791139 : Epoch  5, Batch    369, Loss  0.871704, Average Loss  0.871653, Time  0.240175
2021-09-11 12:31:40.369845 : Epoch  5, Batch    370, Loss  0.878833, Average Loss  0.871690, Time  0.239672
2021-09-11 12:31:42.941906 : Epoch  5, Batch    371, Loss  0.884712, Average Loss  0.871815, Time  0.237583
2021-09-11 12:31:45.521012 : Epoch  5, Batch    372, Loss  0.863959, Average Loss  0.871776, Time  0.237162
2021-09-11 12:31:48.109608 : Epoch  5, Batch    373, Loss  0.893383, Average Loss  0.871830, Time  0.239960
2021-09-11 12:31:50.695610 : Epoch  5, Batch    374, Loss  0.891063, Average Loss  0.871918, Time  0.239636
2021-09-11 12:31:53.298398 : Epoch  5, Batch    375, Loss  0.883374, Average Loss  0.871936, Time  0.237700
2021-09-11 12:31:55.869829 : Epoch  5, Batch    376, Loss  0.868531, Average Loss  0.871755, Time  0.239646
2021-09-11 12:35:58.773774 : CheckPoint: Validation Loss  0.00030992, Best Loss  0.00029019
2021-09-11 12:36:01.356121 : Epoch  5, Batch    377, Loss  0.870554, Average Loss  0.871737, Time  0.238535
2021-09-11 12:36:03.923159 : Epoch  5, Batch    378, Loss  0.860006, Average Loss  0.871661, Time  0.238762
2021-09-11 12:36:06.513837 : Epoch  5, Batch    379, Loss  0.836081, Average Loss  0.871508, Time  0.237171
2021-09-11 12:36:08.701712 : CheckPoint: Validation Loss  0.00060621, Best Loss  0.00057296
2021-09-11 12:36:09.088643 : Epoch  5, Batch    380, Loss  0.892044, Average Loss  0.871567, Time  0.237566
2021-09-11 12:36:10.322846 : Epoch  5, Batch   1757, Loss  0.862049, Average Loss  0.869045, Time  0.177646
2021-09-11 12:36:11.670825 : Epoch  5, Batch    381, Loss  0.855466, Average Loss  0.871433, Time  0.237798
2021-09-11 12:36:11.952743 : Epoch  5, Batch   1758, Loss  0.884798, Average Loss  0.869142, Time  0.170364
2021-09-11 12:36:13.571867 : Epoch  5, Batch   1759, Loss  0.842824, Average Loss  0.869077, Time  0.169982
2021-09-11 12:36:14.268315 : Epoch  5, Batch    382, Loss  0.859622, Average Loss  0.871350, Time  0.237578
2021-09-11 12:36:15.186786 : Epoch  5, Batch   1760, Loss  0.873260, Average Loss  0.869087, Time  0.169891
2021-09-11 12:36:16.793809 : Epoch  5, Batch   1761, Loss  0.857914, Average Loss  0.869118, Time  0.169749
2021-09-11 12:36:16.846840 : Epoch  5, Batch    383, Loss  0.846557, Average Loss  0.871287, Time  0.237531
2021-09-11 12:36:18.418728 : Epoch  5, Batch   1762, Loss  0.824719, Average Loss  0.868948, Time  0.169596
2021-09-11 12:36:19.430067 : Epoch  5, Batch    384, Loss  0.875640, Average Loss  0.871275, Time  0.237594
2021-09-11 12:36:20.047857 : Epoch  5, Batch   1763, Loss  0.859182, Average Loss  0.868852, Time  0.169901
2021-09-11 12:36:21.654998 : Epoch  5, Batch   1764, Loss  0.876910, Average Loss  0.868930, Time  0.170017
2021-09-11 12:36:22.011936 : Epoch  5, Batch    385, Loss  0.874743, Average Loss  0.871338, Time  0.237622
2021-09-11 12:36:23.264991 : Epoch  5, Batch   1765, Loss  0.851973, Average Loss  0.868926, Time  0.169559
2021-09-11 12:36:24.587685 : Epoch  5, Batch    386, Loss  0.875783, Average Loss  0.871319, Time  0.238521
2021-09-11 12:36:24.865800 : Epoch  5, Batch   1766, Loss  0.887932, Average Loss  0.869144, Time  0.169978
2021-09-11 12:36:26.476810 : Epoch  5, Batch   1767, Loss  0.828273, Average Loss  0.868930, Time  0.169670
2021-09-11 12:36:27.165161 : Epoch  5, Batch    387, Loss  0.855398, Average Loss  0.871241, Time  0.238226
2021-09-11 12:36:28.110998 : Epoch  5, Batch   1768, Loss  0.871070, Average Loss  0.868837, Time  0.170075
2021-09-11 12:36:29.740799 : Epoch  5, Batch   1769, Loss  0.867718, Average Loss  0.868793, Time  0.170339
2021-09-11 12:36:29.742197 : Epoch  5, Batch    388, Loss  0.876327, Average Loss  0.871407, Time  0.237730
2021-09-11 12:36:31.363810 : Epoch  5, Batch   1770, Loss  0.907818, Average Loss  0.869051, Time  0.169972
2021-09-11 12:36:32.348108 : Epoch  5, Batch    389, Loss  0.876651, Average Loss  0.871377, Time  0.237613
2021-09-11 12:36:32.974736 : Epoch  5, Batch   1771, Loss  0.843358, Average Loss  0.869040, Time  0.175176
2021-09-11 12:36:34.594031 : Epoch  5, Batch   1772, Loss  0.868999, Average Loss  0.868841, Time  0.176374
2021-09-11 12:36:34.927266 : Epoch  5, Batch    390, Loss  0.863019, Average Loss  0.871377, Time  0.237591
2021-09-11 12:36:36.208036 : Epoch  5, Batch   1773, Loss  0.868711, Average Loss  0.868862, Time  0.171923
2021-09-11 12:36:37.513266 : Epoch  5, Batch    391, Loss  0.864724, Average Loss  0.871442, Time  0.237663
2021-09-11 12:36:37.786902 : Epoch  5, Batch   1774, Loss  0.871507, Average Loss  0.868888, Time  0.170186
2021-09-11 12:36:39.371831 : Epoch  5, Batch   1775, Loss  0.829078, Average Loss  0.868662, Time  0.170021
2021-09-11 12:36:40.101820 : Epoch  5, Batch    392, Loss  0.885471, Average Loss  0.871581, Time  0.238757
2021-09-11 12:36:40.978756 : Epoch  5, Batch   1776, Loss  0.840203, Average Loss  0.868593, Time  0.171034
2021-09-11 12:36:42.581026 : Epoch  5, Batch   1777, Loss  0.902566, Average Loss  0.868659, Time  0.171510
2021-09-11 12:36:42.688038 : Epoch  5, Batch    393, Loss  0.879013, Average Loss  0.871561, Time  0.237252
2021-09-11 12:36:44.193033 : Epoch  5, Batch   1778, Loss  0.876889, Average Loss  0.868616, Time  0.172537
2021-09-11 12:36:45.261351 : Epoch  5, Batch    394, Loss  0.885571, Average Loss  0.871739, Time  0.239721
2021-09-11 12:36:45.797937 : Epoch  5, Batch   1779, Loss  0.916196, Average Loss  0.868827, Time  0.171669
2021-09-11 12:36:47.414035 : Epoch  5, Batch   1780, Loss  0.876301, Average Loss  0.868855, Time  0.170093
2021-09-11 12:36:47.840074 : Epoch  5, Batch    395, Loss  0.857266, Average Loss  0.871642, Time  0.238037
2021-09-11 12:36:49.017818 : Epoch  5, Batch   1781, Loss  0.859563, Average Loss  0.868740, Time  0.170017
2021-09-11 12:36:50.413928 : Epoch  5, Batch    396, Loss  0.861313, Average Loss  0.871570, Time  0.237694
2021-09-11 12:36:50.651744 : Epoch  5, Batch   1782, Loss  0.889410, Average Loss  0.868822, Time  0.170703
2021-09-11 12:36:52.254781 : Epoch  5, Batch   1783, Loss  0.866446, Average Loss  0.868763, Time  0.173853
2021-09-11 12:36:53.009996 : Epoch  5, Batch    397, Loss  0.872591, Average Loss  0.871664, Time  0.237695
2021-09-11 12:36:53.860780 : Epoch  5, Batch   1784, Loss  0.895075, Average Loss  0.869018, Time  0.171628
2021-09-11 12:36:55.477031 : Epoch  5, Batch   1785, Loss  0.858126, Average Loss  0.868993, Time  0.175853
2021-09-11 12:36:55.584224 : Epoch  5, Batch    398, Loss  0.895429, Average Loss  0.871906, Time  0.237712
2021-09-11 12:36:57.069739 : Epoch  5, Batch   1786, Loss  0.900993, Average Loss  0.869213, Time  0.169948
2021-09-11 12:36:58.162639 : Epoch  5, Batch    399, Loss  0.861023, Average Loss  0.871870, Time  0.237401
2021-09-11 12:36:58.658300 : Epoch  5, Batch   1787, Loss  0.892714, Average Loss  0.869462, Time  0.173886
2021-09-11 12:37:00.244737 : Epoch  5, Batch   1788, Loss  0.878861, Average Loss  0.869395, Time  0.171584
2021-09-11 12:37:00.739361 : Epoch  5, Batch    400, Loss  0.844497, Average Loss  0.871724, Time  0.237542
2021-09-11 12:37:01.841794 : Epoch  5, Batch   1789, Loss  0.841406, Average Loss  0.869196, Time  0.172003
2021-09-11 12:37:03.314090 : Epoch  5, Batch    401, Loss  0.873756, Average Loss  0.871725, Time  0.239184
2021-09-11 12:37:03.453802 : Epoch  5, Batch   1790, Loss  0.872516, Average Loss  0.869118, Time  0.173136
2021-09-11 12:37:05.074774 : Epoch  5, Batch   1791, Loss  0.857585, Average Loss  0.869050, Time  0.170094
2021-09-11 12:37:05.901233 : Epoch  5, Batch    402, Loss  0.852287, Average Loss  0.871695, Time  0.237996
2021-09-11 12:37:06.704774 : Epoch  5, Batch   1792, Loss  0.851991, Average Loss  0.868942, Time  0.171304
2021-09-11 12:37:08.285570 : Epoch  5, Batch   1793, Loss  0.870326, Average Loss  0.868793, Time  0.169735
2021-09-11 12:37:08.475125 : Epoch  5, Batch    403, Loss  0.873673, Average Loss  0.871590, Time  0.237736
2021-09-11 12:37:09.922882 : Epoch  5, Batch   1794, Loss  0.887639, Average Loss  0.868848, Time  0.173654
2021-09-11 12:37:11.054591 : Epoch  5, Batch    404, Loss  0.870558, Average Loss  0.871608, Time  0.237175
2021-09-11 12:37:11.542033 : Epoch  5, Batch   1795, Loss  0.890002, Average Loss  0.868929, Time  0.173062
2021-09-11 12:37:13.153736 : Epoch  5, Batch   1796, Loss  0.855433, Average Loss  0.868881, Time  0.172320
2021-09-11 12:37:13.638115 : Epoch  5, Batch    405, Loss  0.866545, Average Loss  0.871533, Time  0.237661
2021-09-11 12:37:14.740079 : Epoch  5, Batch   1797, Loss  0.874351, Average Loss  0.868912, Time  0.171982
2021-09-11 12:37:16.207874 : Epoch  5, Batch    406, Loss  0.868713, Average Loss  0.871522, Time  0.238337
2021-09-11 12:37:16.335750 : Epoch  5, Batch   1798, Loss  0.866424, Average Loss  0.868879, Time  0.171293
2021-09-11 12:37:17.937946 : Epoch  5, Batch   1799, Loss  0.841332, Average Loss  0.868838, Time  0.170427
2021-09-11 12:37:18.781294 : Epoch  5, Batch    407, Loss  0.875161, Average Loss  0.871491, Time  0.237514
2021-09-11 12:37:19.553783 : Epoch  5, Batch   1800, Loss  0.862298, Average Loss  0.868833, Time  0.170051
2021-09-11 12:37:21.164779 : Epoch  5, Batch   1801, Loss  0.844015, Average Loss  0.868739, Time  0.176142
2021-09-11 12:37:21.351167 : Epoch  5, Batch    408, Loss  0.863371, Average Loss  0.871408, Time  0.237961
2021-09-11 12:37:22.772859 : Epoch  5, Batch   1802, Loss  0.883113, Average Loss  0.868791, Time  0.170128
2021-09-11 12:37:23.918878 : Epoch  5, Batch    409, Loss  0.844477, Average Loss  0.871240, Time  0.237281
2021-09-11 12:37:24.390743 : Epoch  5, Batch   1803, Loss  0.865076, Average Loss  0.868689, Time  0.172194
2021-09-11 12:37:25.982798 : Epoch  5, Batch   1804, Loss  0.866781, Average Loss  0.868694, Time  0.169830
2021-09-11 12:37:26.497832 : Epoch  5, Batch    410, Loss  0.855053, Average Loss  0.871159, Time  0.237742
2021-09-11 12:37:27.579803 : Epoch  5, Batch   1805, Loss  0.894671, Average Loss  0.868832, Time  0.170054
2021-09-11 12:37:29.075175 : Epoch  5, Batch    411, Loss  0.859707, Average Loss  0.871141, Time  0.237632
2021-09-11 12:37:29.181827 : Epoch  5, Batch   1806, Loss  0.904105, Average Loss  0.869029, Time  0.172864
2021-09-11 12:37:30.766788 : Epoch  5, Batch   1807, Loss  0.858101, Average Loss  0.869100, Time  0.171291
2021-09-11 12:37:31.659102 : Epoch  5, Batch    412, Loss  0.879584, Average Loss  0.871135, Time  0.238621
2021-09-11 12:37:32.356910 : Epoch  5, Batch   1808, Loss  0.863770, Average Loss  0.869066, Time  0.169844
2021-09-11 12:37:33.972813 : Epoch  5, Batch   1809, Loss  0.893895, Average Loss  0.869319, Time  0.170366
2021-09-11 12:37:34.239376 : Epoch  5, Batch    413, Loss  0.864140, Average Loss  0.871077, Time  0.237496
2021-09-11 12:37:35.560756 : Epoch  5, Batch   1810, Loss  0.873411, Average Loss  0.869356, Time  0.170992
2021-09-11 12:37:36.816184 : Epoch  5, Batch    414, Loss  0.859516, Average Loss  0.871031, Time  0.238122
2021-09-11 12:37:37.172831 : Epoch  5, Batch   1811, Loss  0.901408, Average Loss  0.869594, Time  0.176028
2021-09-11 12:37:38.752752 : Epoch  5, Batch   1812, Loss  0.884054, Average Loss  0.869613, Time  0.171910
2021-09-11 12:37:39.405589 : Epoch  5, Batch    415, Loss  0.864389, Average Loss  0.871038, Time  0.238249
2021-09-11 12:37:40.355795 : Epoch  5, Batch   1813, Loss  0.901721, Average Loss  0.869683, Time  0.170951
2021-09-11 12:37:41.955940 : Epoch  5, Batch   1814, Loss  0.841976, Average Loss  0.869644, Time  0.171881
2021-09-11 12:37:41.999939 : Epoch  5, Batch    416, Loss  0.876271, Average Loss  0.871102, Time  0.238916
2021-09-11 12:37:43.555793 : Epoch  5, Batch   1815, Loss  0.840048, Average Loss  0.869440, Time  0.173117
2021-09-11 12:37:44.580209 : Epoch  5, Batch    417, Loss  0.862312, Average Loss  0.871061, Time  0.237927
2021-09-11 12:37:45.187749 : Epoch  5, Batch   1816, Loss  0.848095, Average Loss  0.869312, Time  0.172687
2021-09-11 12:37:46.797865 : Epoch  5, Batch   1817, Loss  0.878763, Average Loss  0.869302, Time  0.172267
2021-09-11 12:37:47.170027 : Epoch  5, Batch    418, Loss  0.857174, Average Loss  0.870939, Time  0.242200
2021-09-11 12:37:48.420030 : Epoch  5, Batch   1818, Loss  0.862606, Average Loss  0.869354, Time  0.171608
2021-09-11 12:37:49.742142 : Epoch  5, Batch    419, Loss  0.841179, Average Loss  0.870765, Time  0.237936
2021-09-11 12:37:50.029769 : Epoch  5, Batch   1819, Loss  0.885111, Average Loss  0.869283, Time  0.170106
2021-09-11 12:37:51.628804 : Epoch  5, Batch   1820, Loss  0.906262, Average Loss  0.869589, Time  0.170953
2021-09-11 12:37:52.324112 : Epoch  5, Batch    420, Loss  0.866967, Average Loss  0.870851, Time  0.238834
2021-09-11 12:37:53.223937 : Epoch  5, Batch   1821, Loss  0.859739, Average Loss  0.869452, Time  0.177458
2021-09-11 12:37:54.795856 : Epoch  5, Batch   1822, Loss  0.874233, Average Loss  0.869605, Time  0.170420
2021-09-11 12:37:54.904967 : Epoch  5, Batch    421, Loss  0.863343, Average Loss  0.870693, Time  0.237823
2021-09-11 12:37:56.376988 : Epoch  5, Batch   1823, Loss  0.887188, Average Loss  0.869748, Time  0.173068
2021-09-11 12:37:57.505850 : Epoch  5, Batch    422, Loss  0.867778, Average Loss  0.870657, Time  0.238618
2021-09-11 12:37:57.963830 : Epoch  5, Batch   1824, Loss  0.869482, Average Loss  0.869763, Time  0.171178
2021-09-11 12:37:59.548028 : Epoch  5, Batch   1825, Loss  0.848806, Average Loss  0.869671, Time  0.169668
2021-09-11 12:38:00.084368 : Epoch  5, Batch    423, Loss  0.868509, Average Loss  0.870641, Time  0.237748
2021-09-11 12:38:01.144771 : Epoch  5, Batch   1826, Loss  0.879330, Average Loss  0.869664, Time  0.170159
2021-09-11 12:38:02.659991 : Epoch  5, Batch    424, Loss  0.845776, Average Loss  0.870551, Time  0.237545
2021-09-11 12:38:02.731152 : Epoch  5, Batch   1827, Loss  0.885799, Average Loss  0.869693, Time  0.171025
2021-09-11 12:38:04.306124 : Epoch  5, Batch   1828, Loss  0.849521, Average Loss  0.869507, Time  0.169699
2021-09-11 12:38:05.238637 : Epoch  5, Batch    425, Loss  0.863924, Average Loss  0.870423, Time  0.237657
2021-09-11 12:38:05.907749 : Epoch  5, Batch   1829, Loss  0.880698, Average Loss  0.869557, Time  0.172422
2021-09-11 12:38:07.507019 : Epoch  5, Batch   1830, Loss  0.885748, Average Loss  0.869692, Time  0.173101
2021-09-11 12:38:07.814996 : Epoch  5, Batch    426, Loss  0.854760, Average Loss  0.870444, Time  0.238016
2021-09-11 12:38:09.109742 : Epoch  5, Batch   1831, Loss  0.854842, Average Loss  0.869611, Time  0.173412
2021-09-11 12:38:10.391251 : Epoch  5, Batch    427, Loss  0.860930, Average Loss  0.870478, Time  0.238733
2021-09-11 12:38:10.732808 : Epoch  5, Batch   1832, Loss  0.891782, Average Loss  0.869701, Time  0.173753
2021-09-11 12:38:12.317758 : Epoch  5, Batch   1833, Loss  0.885597, Average Loss  0.869621, Time  0.170513
2021-09-11 12:38:12.974055 : Epoch  5, Batch    428, Loss  0.872072, Average Loss  0.870495, Time  0.238636
2021-09-11 12:38:13.919926 : Epoch  5, Batch   1834, Loss  0.875247, Average Loss  0.869551, Time  0.175072
2021-09-11 12:38:15.513736 : Epoch  5, Batch   1835, Loss  0.860438, Average Loss  0.869496, Time  0.169882
2021-09-11 12:38:15.552045 : Epoch  5, Batch    429, Loss  0.862309, Average Loss  0.870522, Time  0.237744
2021-09-11 12:38:17.135250 : Epoch  5, Batch   1836, Loss  0.852345, Average Loss  0.869452, Time  0.169964
2021-09-11 12:38:18.137167 : Epoch  5, Batch    430, Loss  0.861729, Average Loss  0.870456, Time  0.238602
2021-09-11 12:38:18.732841 : Epoch  5, Batch   1837, Loss  0.888843, Average Loss  0.869519, Time  0.170062
2021-09-11 12:38:20.364022 : Epoch  5, Batch   1838, Loss  0.855094, Average Loss  0.869554, Time  0.169646
2021-09-11 12:38:20.711366 : Epoch  5, Batch    431, Loss  0.849424, Average Loss  0.870318, Time  0.238000
2021-09-11 12:38:21.949850 : Epoch  5, Batch   1839, Loss  0.865981, Average Loss  0.869431, Time  0.169852
2021-09-11 12:38:23.317093 : Epoch  5, Batch    432, Loss  0.866458, Average Loss  0.870248, Time  0.238535
2021-09-11 12:38:23.562026 : Epoch  5, Batch   1840, Loss  0.861571, Average Loss  0.869452, Time  0.172983
2021-09-11 12:38:25.172050 : Epoch  5, Batch   1841, Loss  0.837110, Average Loss  0.869211, Time  0.173446
2021-09-11 12:38:25.899877 : Epoch  5, Batch    433, Loss  0.860977, Average Loss  0.870219, Time  0.241156
2021-09-11 12:38:26.762059 : Epoch  5, Batch   1842, Loss  0.906725, Average Loss  0.869293, Time  0.171846
2021-09-11 12:38:28.333777 : Epoch  5, Batch   1843, Loss  0.849471, Average Loss  0.869236, Time  0.170117
2021-09-11 12:38:28.522048 : Epoch  5, Batch    434, Loss  0.869431, Average Loss  0.870206, Time  0.238472
2021-09-11 12:38:29.913639 : Epoch  5, Batch   1844, Loss  0.889617, Average Loss  0.869415, Time  0.169780
2021-09-11 12:38:31.100871 : Epoch  5, Batch    435, Loss  0.881456, Average Loss  0.870359, Time  0.237511
2021-09-11 12:38:31.506788 : Epoch  5, Batch   1845, Loss  0.876799, Average Loss  0.869333, Time  0.175954
2021-09-11 12:38:33.104861 : Epoch  5, Batch   1846, Loss  0.875903, Average Loss  0.869611, Time  0.173628
2021-09-11 12:38:33.675037 : Epoch  5, Batch    436, Loss  0.878239, Average Loss  0.870332, Time  0.237574
2021-09-11 12:38:34.678036 : Epoch  5, Batch   1847, Loss  0.886315, Average Loss  0.869620, Time  0.173611
2021-09-11 12:38:36.279073 : Epoch  5, Batch   1848, Loss  0.873622, Average Loss  0.869662, Time  0.170229
2021-09-11 12:38:36.313610 : Epoch  5, Batch    437, Loss  0.871866, Average Loss  0.870377, Time  0.265639
2021-09-11 12:38:37.859795 : Epoch  5, Batch   1849, Loss  0.886806, Average Loss  0.869802, Time  0.170992
2021-09-11 12:38:38.899211 : Epoch  5, Batch    438, Loss  0.871385, Average Loss  0.870305, Time  0.237768
2021-09-11 12:38:39.471759 : Epoch  5, Batch   1850, Loss  0.880170, Average Loss  0.870066, Time  0.174089
2021-09-11 12:38:41.087021 : Epoch  5, Batch   1851, Loss  0.874603, Average Loss  0.870125, Time  0.177574
2021-09-11 12:38:41.485281 : Epoch  5, Batch    439, Loss  0.868098, Average Loss  0.870357, Time  0.237487
2021-09-11 12:38:42.689631 : Epoch  5, Batch   1852, Loss  0.861516, Average Loss  0.869907, Time  0.169940
2021-09-11 12:38:44.062106 : Epoch  5, Batch    440, Loss  0.880475, Average Loss  0.870362, Time  0.238460
2021-09-11 12:38:44.282811 : Epoch  5, Batch   1853, Loss  0.866647, Average Loss  0.869940, Time  0.172661
2021-09-11 12:38:45.877916 : Epoch  5, Batch   1854, Loss  0.874914, Average Loss  0.870009, Time  0.170202
2021-09-11 12:38:46.647429 : Epoch  5, Batch    441, Loss  0.865600, Average Loss  0.870208, Time  0.238926
2021-09-11 12:38:47.457744 : Epoch  5, Batch   1855, Loss  0.884469, Average Loss  0.869953, Time  0.173521
2021-09-11 12:38:49.056791 : Epoch  5, Batch   1856, Loss  0.882500, Average Loss  0.870071, Time  0.170981
2021-09-11 12:38:49.230157 : Epoch  5, Batch    442, Loss  0.858815, Average Loss  0.870116, Time  0.241827
2021-09-11 12:38:51.812614 : Epoch  5, Batch    443, Loss  0.861361, Average Loss  0.869993, Time  0.237907
2021-09-11 12:38:54.394064 : Epoch  5, Batch    444, Loss  0.870071, Average Loss  0.870015, Time  0.237629
2021-09-11 12:38:56.976374 : Epoch  5, Batch    445, Loss  0.869858, Average Loss  0.870062, Time  0.237711
2021-09-11 12:38:59.583971 : Epoch  5, Batch    446, Loss  0.879290, Average Loss  0.870173, Time  0.242049
2021-09-11 12:39:02.165037 : Epoch  5, Batch    447, Loss  0.887755, Average Loss  0.870273, Time  0.237279
2021-09-11 12:39:04.766000 : Epoch  5, Batch    448, Loss  0.886209, Average Loss  0.870383, Time  0.238823
2021-09-11 12:39:07.340037 : Epoch  5, Batch    449, Loss  0.864328, Average Loss  0.870385, Time  0.237143
2021-09-11 12:39:09.914128 : Epoch  5, Batch    450, Loss  0.869376, Average Loss  0.870391, Time  0.238503
2021-09-11 12:39:12.502141 : Epoch  5, Batch    451, Loss  0.866526, Average Loss  0.870340, Time  0.237642
2021-09-11 12:39:15.074816 : Epoch  5, Batch    452, Loss  0.859494, Average Loss  0.870287, Time  0.238279
2021-09-11 12:39:17.652816 : Epoch  5, Batch    453, Loss  0.886408, Average Loss  0.870401, Time  0.239889
2021-09-11 12:39:20.237607 : Epoch  5, Batch    454, Loss  0.863084, Average Loss  0.870444, Time  0.237585
2021-09-11 12:39:22.828030 : Epoch  5, Batch    455, Loss  0.891088, Average Loss  0.870511, Time  0.243458
2021-09-11 12:39:25.412212 : Epoch  5, Batch    456, Loss  0.861551, Average Loss  0.870406, Time  0.237992
2021-09-11 12:39:27.991919 : Epoch  5, Batch    457, Loss  0.894806, Average Loss  0.870450, Time  0.237474
2021-09-11 12:39:30.581930 : Epoch  5, Batch    458, Loss  0.860961, Average Loss  0.870306, Time  0.237566
2021-09-11 12:39:33.166874 : Epoch  5, Batch    459, Loss  0.854077, Average Loss  0.870189, Time  0.237548
2021-09-11 12:39:35.732855 : Epoch  5, Batch    460, Loss  0.847303, Average Loss  0.870109, Time  0.237806
2021-09-11 12:39:38.312152 : Epoch  5, Batch    461, Loss  0.848500, Average Loss  0.869942, Time  0.237494
2021-09-11 12:39:40.889859 : Epoch  5, Batch    462, Loss  0.864455, Average Loss  0.869900, Time  0.238267
2021-09-11 12:39:43.473102 : Epoch  5, Batch    463, Loss  0.878164, Average Loss  0.869801, Time  0.237249
2021-09-11 12:39:46.060564 : Epoch  5, Batch    464, Loss  0.871709, Average Loss  0.869791, Time  0.243137
2021-09-11 12:39:48.643990 : Epoch  5, Batch    465, Loss  0.861246, Average Loss  0.869708, Time  0.237650
2021-09-11 12:39:51.226922 : Epoch  5, Batch    466, Loss  0.867967, Average Loss  0.869773, Time  0.238067
2021-09-11 12:39:53.800037 : Epoch  5, Batch    467, Loss  0.868014, Average Loss  0.869669, Time  0.238431
2021-09-11 12:39:56.372024 : Epoch  5, Batch    468, Loss  0.874805, Average Loss  0.869711, Time  0.239226
2021-09-11 12:39:58.946156 : Epoch  5, Batch    469, Loss  0.873686, Average Loss  0.869796, Time  0.238016
2021-09-11 12:40:01.527838 : Epoch  5, Batch    470, Loss  0.867513, Average Loss  0.869830, Time  0.239084
2021-09-11 12:40:04.128850 : Epoch  5, Batch    471, Loss  0.888041, Average Loss  0.869978, Time  0.237604
2021-09-11 12:40:06.712078 : Epoch  5, Batch    472, Loss  0.877352, Average Loss  0.869976, Time  0.238154
2021-09-11 12:40:09.292224 : Epoch  5, Batch    473, Loss  0.863945, Average Loss  0.869871, Time  0.237443
2021-09-11 12:40:11.867200 : Epoch  5, Batch    474, Loss  0.870952, Average Loss  0.869981, Time  0.238345
2021-09-11 12:40:14.444237 : Epoch  5, Batch    475, Loss  0.871616, Average Loss  0.869954, Time  0.237642
2021-09-11 12:40:17.024372 : Epoch  5, Batch    476, Loss  0.875619, Average Loss  0.869945, Time  0.237088
2021-09-11 12:43:29.652726 : CheckPoint: Validation Loss  0.00059371, Best Loss  0.00057296
2021-09-11 12:43:31.275825 : Epoch  5, Batch   1857, Loss  0.871655, Average Loss  0.870056, Time  0.175038
2021-09-11 12:43:32.867758 : Epoch  5, Batch   1858, Loss  0.876109, Average Loss  0.870184, Time  0.170036
2021-09-11 12:43:34.462853 : Epoch  5, Batch   1859, Loss  0.881720, Average Loss  0.870218, Time  0.173536
2021-09-11 12:43:36.050019 : Epoch  5, Batch   1860, Loss  0.853433, Average Loss  0.869942, Time  0.175281
2021-09-11 12:43:37.665750 : Epoch  5, Batch   1861, Loss  0.869413, Average Loss  0.869813, Time  0.169867
2021-09-11 12:43:39.274024 : Epoch  5, Batch   1862, Loss  0.880358, Average Loss  0.870043, Time  0.174577
2021-09-11 12:43:40.877003 : Epoch  5, Batch   1863, Loss  0.877096, Average Loss  0.870087, Time  0.172303
2021-09-11 12:43:42.492021 : Epoch  5, Batch   1864, Loss  0.854250, Average Loss  0.870054, Time  0.175380
2021-09-11 12:43:44.109023 : Epoch  5, Batch   1865, Loss  0.876864, Average Loss  0.870128, Time  0.173265
2021-09-11 12:43:45.705025 : Epoch  5, Batch   1866, Loss  0.870559, Average Loss  0.870102, Time  0.170277
2021-09-11 12:43:47.307889 : Epoch  5, Batch   1867, Loss  0.871508, Average Loss  0.870170, Time  0.173874
2021-09-11 12:43:48.913036 : Epoch  5, Batch   1868, Loss  0.871837, Average Loss  0.870236, Time  0.169713
2021-09-11 12:43:50.502028 : Epoch  5, Batch   1869, Loss  0.846400, Average Loss  0.870086, Time  0.172496
2021-09-11 12:43:52.081756 : Epoch  5, Batch   1870, Loss  0.871590, Average Loss  0.870229, Time  0.172310
2021-09-11 12:43:53.694036 : Epoch  5, Batch   1871, Loss  0.887873, Average Loss  0.870207, Time  0.170475
2021-09-11 12:43:55.278426 : Epoch  5, Batch   1872, Loss  0.854948, Average Loss  0.870210, Time  0.169909
2021-09-11 12:43:56.864025 : Epoch  5, Batch   1873, Loss  0.869643, Average Loss  0.870290, Time  0.170967
2021-09-11 12:43:58.444507 : Epoch  5, Batch   1874, Loss  0.875208, Average Loss  0.870358, Time  0.169848
2021-09-11 12:44:00.048028 : Epoch  5, Batch   1875, Loss  0.865935, Average Loss  0.870292, Time  0.171061
2021-09-11 12:44:01.629850 : Epoch  5, Batch   1876, Loss  0.887769, Average Loss  0.870433, Time  0.172092
2021-09-11 12:44:03.234019 : Epoch  5, Batch   1877, Loss  0.875855, Average Loss  0.870601, Time  0.171296
2021-09-11 12:44:04.836908 : Epoch  5, Batch   1878, Loss  0.875452, Average Loss  0.870556, Time  0.171766
2021-09-11 12:44:06.437201 : Epoch  5, Batch   1879, Loss  0.877497, Average Loss  0.870605, Time  0.169988
2021-09-11 12:44:08.010755 : Epoch  5, Batch   1880, Loss  0.880556, Average Loss  0.870569, Time  0.175589
2021-09-11 12:44:09.594029 : Epoch  5, Batch   1881, Loss  0.857192, Average Loss  0.870432, Time  0.170634
2021-09-11 12:44:11.178022 : Epoch  5, Batch   1882, Loss  0.831946, Average Loss  0.870118, Time  0.171782
2021-09-11 12:44:12.747032 : Epoch  5, Batch   1883, Loss  0.866223, Average Loss  0.869999, Time  0.169827
2021-09-11 12:44:14.346761 : Epoch  5, Batch   1884, Loss  0.871388, Average Loss  0.869973, Time  0.171335
2021-09-11 12:44:15.947776 : Epoch  5, Batch   1885, Loss  0.869210, Average Loss  0.870199, Time  0.171691
2021-09-11 12:44:17.547967 : Epoch  5, Batch   1886, Loss  0.869744, Average Loss  0.870205, Time  0.173658
2021-09-11 12:44:19.153043 : Epoch  5, Batch   1887, Loss  0.883186, Average Loss  0.870401, Time  0.171393
2021-09-11 12:44:19.431752 : CheckPoint: Validation Loss  0.00029973, Best Loss  0.00029019
2021-09-11 12:44:20.747036 : Epoch  5, Batch   1888, Loss  0.880477, Average Loss  0.870446, Time  0.173432
2021-09-11 12:44:22.052284 : Epoch  5, Batch    477, Loss  0.886559, Average Loss  0.870024, Time  0.271166
2021-09-11 12:44:22.331934 : Epoch  5, Batch   1889, Loss  0.878093, Average Loss  0.870443, Time  0.170144
2021-09-11 12:44:23.897050 : Epoch  5, Batch   1890, Loss  0.876833, Average Loss  0.870488, Time  0.172615
2021-09-11 12:44:24.652348 : Epoch  5, Batch    478, Loss  0.880233, Average Loss  0.870140, Time  0.242448
2021-09-11 12:44:25.495823 : Epoch  5, Batch   1891, Loss  0.869321, Average Loss  0.870448, Time  0.171474
2021-09-11 12:44:27.092022 : Epoch  5, Batch   1892, Loss  0.893275, Average Loss  0.870635, Time  0.171698
2021-09-11 12:44:27.229541 : Epoch  5, Batch    479, Loss  0.890973, Average Loss  0.870150, Time  0.237543
2021-09-11 12:44:28.686744 : Epoch  5, Batch   1893, Loss  0.891300, Average Loss  0.870597, Time  0.174727
2021-09-11 12:44:29.798642 : Epoch  5, Batch    480, Loss  0.877573, Average Loss  0.870132, Time  0.238032
2021-09-11 12:44:30.291410 : Epoch  5, Batch   1894, Loss  0.892334, Average Loss  0.870973, Time  0.172076
2021-09-11 12:44:31.854859 : Epoch  5, Batch   1895, Loss  0.880531, Average Loss  0.871065, Time  0.169845
2021-09-11 12:44:32.392893 : Epoch  5, Batch    481, Loss  0.882496, Average Loss  0.870165, Time  0.239954
2021-09-11 12:44:33.436739 : Epoch  5, Batch   1896, Loss  0.857755, Average Loss  0.870985, Time  0.172043
2021-09-11 12:44:34.980651 : Epoch  5, Batch    482, Loss  0.881486, Average Loss  0.870163, Time  0.240160
2021-09-11 12:44:35.027817 : Epoch  5, Batch   1897, Loss  0.864441, Average Loss  0.870936, Time  0.179973
2021-09-11 12:44:36.608844 : Epoch  5, Batch   1898, Loss  0.873591, Average Loss  0.870931, Time  0.169912
2021-09-11 12:44:37.555960 : Epoch  5, Batch    483, Loss  0.872229, Average Loss  0.870299, Time  0.238599
2021-09-11 12:44:38.202072 : Epoch  5, Batch   1899, Loss  0.880516, Average Loss  0.870915, Time  0.169878
2021-09-11 12:44:39.790872 : Epoch  5, Batch   1900, Loss  0.848035, Average Loss  0.870848, Time  0.179690
2021-09-11 12:44:40.136400 : Epoch  5, Batch    484, Loss  0.867253, Average Loss  0.870343, Time  0.237683
2021-09-11 12:44:41.382935 : Epoch  5, Batch   1901, Loss  0.891217, Average Loss  0.870913, Time  0.170075
2021-09-11 12:44:42.704030 : Epoch  5, Batch    485, Loss  0.859132, Average Loss  0.870174, Time  0.237308
2021-09-11 12:44:42.983748 : Epoch  5, Batch   1902, Loss  0.862536, Average Loss  0.870950, Time  0.170464
2021-09-11 12:44:44.577780 : Epoch  5, Batch   1903, Loss  0.878239, Average Loss  0.871006, Time  0.171232
2021-09-11 12:44:45.278255 : Epoch  5, Batch    486, Loss  0.869605, Average Loss  0.870183, Time  0.237996
2021-09-11 12:44:46.166766 : Epoch  5, Batch   1904, Loss  0.849112, Average Loss  0.870909, Time  0.170054
2021-09-11 12:44:47.759812 : Epoch  5, Batch   1905, Loss  0.863634, Average Loss  0.870933, Time  0.175664
2021-09-11 12:44:47.881996 : Epoch  5, Batch    487, Loss  0.884011, Average Loss  0.870193, Time  0.238712
2021-09-11 12:44:49.353897 : Epoch  5, Batch   1906, Loss  0.885838, Average Loss  0.870922, Time  0.175622
2021-09-11 12:44:50.458409 : Epoch  5, Batch    488, Loss  0.877288, Average Loss  0.870165, Time  0.238549
2021-09-11 12:44:50.959792 : Epoch  5, Batch   1907, Loss  0.904546, Average Loss  0.871092, Time  0.171815
2021-09-11 12:44:52.574840 : Epoch  5, Batch   1908, Loss  0.868457, Average Loss  0.871070, Time  0.176658
2021-09-11 12:44:53.064903 : Epoch  5, Batch    489, Loss  0.871894, Average Loss  0.870158, Time  0.239156
2021-09-11 12:44:54.175904 : Epoch  5, Batch   1909, Loss  0.844695, Average Loss  0.870968, Time  0.169925
2021-09-11 12:44:55.631421 : Epoch  5, Batch    490, Loss  0.867266, Average Loss  0.870122, Time  0.237749
2021-09-11 12:44:55.763791 : Epoch  5, Batch   1910, Loss  0.860555, Average Loss  0.870793, Time  0.174001
2021-09-11 12:44:57.374769 : Epoch  5, Batch   1911, Loss  0.906038, Average Loss  0.871003, Time  0.170301
2021-09-11 12:44:58.200216 : Epoch  5, Batch    491, Loss  0.868884, Average Loss  0.870077, Time  0.238472
2021-09-11 12:44:58.974328 : Epoch  5, Batch   1912, Loss  0.898623, Average Loss  0.871196, Time  0.175468
2021-09-11 12:45:00.551750 : Epoch  5, Batch   1913, Loss  0.887278, Average Loss  0.871348, Time  0.170099
2021-09-11 12:45:00.800926 : Epoch  5, Batch    492, Loss  0.872287, Average Loss  0.870002, Time  0.238157
2021-09-11 12:45:02.135848 : Epoch  5, Batch   1914, Loss  0.867310, Average Loss  0.871451, Time  0.169822
2021-09-11 12:45:03.380205 : Epoch  5, Batch    493, Loss  0.859366, Average Loss  0.870026, Time  0.237608
2021-09-11 12:45:03.751742 : Epoch  5, Batch   1915, Loss  0.847920, Average Loss  0.871375, Time  0.171583
2021-09-11 12:45:05.344733 : Epoch  5, Batch   1916, Loss  0.869818, Average Loss  0.871439, Time  0.170547
2021-09-11 12:45:05.964194 : Epoch  5, Batch    494, Loss  0.870451, Average Loss  0.869938, Time  0.240068
2021-09-11 12:45:06.938033 : Epoch  5, Batch   1917, Loss  0.845700, Average Loss  0.871195, Time  0.169943
2021-09-11 12:45:08.538853 : Epoch  5, Batch   1918, Loss  0.861991, Average Loss  0.871063, Time  0.170083
2021-09-11 12:45:08.559873 : Epoch  5, Batch    495, Loss  0.870609, Average Loss  0.869906, Time  0.237554
2021-09-11 12:45:10.126604 : Epoch  5, Batch   1919, Loss  0.870010, Average Loss  0.871216, Time  0.169679
2021-09-11 12:45:11.150919 : Epoch  5, Batch    496, Loss  0.862748, Average Loss  0.869781, Time  0.237256
2021-09-11 12:45:11.714699 : Epoch  5, Batch   1920, Loss  0.881470, Average Loss  0.871359, Time  0.170983
2021-09-11 12:45:13.318019 : Epoch  5, Batch   1921, Loss  0.846789, Average Loss  0.871214, Time  0.171895
2021-09-11 12:45:13.729087 : Epoch  5, Batch    497, Loss  0.873477, Average Loss  0.869961, Time  0.237175
2021-09-11 12:45:14.902030 : Epoch  5, Batch   1922, Loss  0.897799, Average Loss  0.871407, Time  0.171824
2021-09-11 12:45:16.306638 : Epoch  5, Batch    498, Loss  0.890209, Average Loss  0.870081, Time  0.237516
2021-09-11 12:45:16.487032 : Epoch  5, Batch   1923, Loss  0.832508, Average Loss  0.871308, Time  0.171301
2021-09-11 12:45:18.065875 : Epoch  5, Batch   1924, Loss  0.872600, Average Loss  0.871343, Time  0.170815
2021-09-11 12:45:18.883780 : Epoch  5, Batch    499, Loss  0.894347, Average Loss  0.870266, Time  0.237727
2021-09-11 12:45:19.654032 : Epoch  5, Batch   1925, Loss  0.851544, Average Loss  0.871089, Time  0.170146
2021-09-11 12:45:21.252062 : Epoch  5, Batch   1926, Loss  0.869021, Average Loss  0.871173, Time  0.172963
2021-09-11 12:45:21.464819 : Epoch  5, Batch    500, Loss  0.882579, Average Loss  0.870338, Time  0.237769
2021-09-11 12:45:22.845599 : Epoch  5, Batch   1927, Loss  0.859666, Average Loss  0.871157, Time  0.173369
2021-09-11 12:45:24.041909 : Epoch  5, Batch    501, Loss  0.885757, Average Loss  0.870460, Time  0.238332
2021-09-11 12:45:24.440941 : Epoch  5, Batch   1928, Loss  0.866070, Average Loss  0.871219, Time  0.172962
2021-09-11 12:45:26.035739 : Epoch  5, Batch   1929, Loss  0.851419, Average Loss  0.871229, Time  0.171939
2021-09-11 12:45:26.626384 : Epoch  5, Batch    502, Loss  0.885080, Average Loss  0.870557, Time  0.239811
2021-09-11 12:45:27.649045 : Epoch  5, Batch   1930, Loss  0.866093, Average Loss  0.871105, Time  0.173083
2021-09-11 12:45:29.219095 : Epoch  5, Batch    503, Loss  0.858716, Average Loss  0.870555, Time  0.239172
2021-09-11 12:45:29.259830 : Epoch  5, Batch   1931, Loss  0.871235, Average Loss  0.871181, Time  0.175934
2021-09-11 12:45:30.899019 : Epoch  5, Batch   1932, Loss  0.890085, Average Loss  0.871270, Time  0.173737
2021-09-11 12:45:31.796275 : Epoch  5, Batch    504, Loss  0.884489, Average Loss  0.870704, Time  0.237520
2021-09-11 12:45:32.516821 : Epoch  5, Batch   1933, Loss  0.867101, Average Loss  0.871332, Time  0.174233
2021-09-11 12:45:34.101759 : Epoch  5, Batch   1934, Loss  0.884813, Average Loss  0.871395, Time  0.169749
2021-09-11 12:45:34.384051 : Epoch  5, Batch    505, Loss  0.881676, Average Loss  0.870657, Time  0.238249
2021-09-11 12:45:35.705732 : Epoch  5, Batch   1935, Loss  0.867326, Average Loss  0.871364, Time  0.171648
2021-09-11 12:45:36.961271 : Epoch  5, Batch    506, Loss  0.875315, Average Loss  0.870693, Time  0.238832
2021-09-11 12:45:37.307853 : Epoch  5, Batch   1936, Loss  0.886089, Average Loss  0.871505, Time  0.169952
2021-09-11 12:45:38.898031 : Epoch  5, Batch   1937, Loss  0.875989, Average Loss  0.871497, Time  0.170593
2021-09-11 12:45:39.553859 : Epoch  5, Batch    507, Loss  0.877522, Average Loss  0.870739, Time  0.243982
2021-09-11 12:45:40.491791 : Epoch  5, Batch   1938, Loss  0.864826, Average Loss  0.871688, Time  0.171179
2021-09-11 12:45:42.082049 : Epoch  5, Batch   1939, Loss  0.880617, Average Loss  0.871710, Time  0.170990
2021-09-11 12:45:42.127567 : Epoch  5, Batch    508, Loss  0.827168, Average Loss  0.870564, Time  0.237146
2021-09-11 12:45:43.667743 : Epoch  5, Batch   1940, Loss  0.821110, Average Loss  0.871496, Time  0.171734
2021-09-11 12:45:44.711936 : Epoch  5, Batch    509, Loss  0.883370, Average Loss  0.870610, Time  0.237854
2021-09-11 12:45:45.255034 : Epoch  5, Batch   1941, Loss  0.874714, Average Loss  0.871451, Time  0.169381
2021-09-11 12:45:46.867772 : Epoch  5, Batch   1942, Loss  0.851657, Average Loss  0.871187, Time  0.176154
2021-09-11 12:45:47.305719 : Epoch  5, Batch    510, Loss  0.867023, Average Loss  0.870482, Time  0.237455
2021-09-11 12:45:48.473030 : Epoch  5, Batch   1943, Loss  0.863719, Average Loss  0.871135, Time  0.171820
2021-09-11 12:45:49.891139 : Epoch  5, Batch    511, Loss  0.892156, Average Loss  0.870546, Time  0.239230
2021-09-11 12:45:50.065817 : Epoch  5, Batch   1944, Loss  0.883873, Average Loss  0.871171, Time  0.170785
2021-09-11 12:45:51.647002 : Epoch  5, Batch   1945, Loss  0.854873, Average Loss  0.871128, Time  0.171510
2021-09-11 12:45:52.486172 : Epoch  5, Batch    512, Loss  0.863730, Average Loss  0.870461, Time  0.237675
2021-09-11 12:45:53.249754 : Epoch  5, Batch   1946, Loss  0.895469, Average Loss  0.871114, Time  0.171476
2021-09-11 12:45:54.846743 : Epoch  5, Batch   1947, Loss  0.811240, Average Loss  0.870894, Time  0.170205
2021-09-11 12:45:55.073206 : Epoch  5, Batch    513, Loss  0.872792, Average Loss  0.870500, Time  0.238349
2021-09-11 12:45:56.431877 : Epoch  5, Batch   1948, Loss  0.893676, Average Loss  0.870987, Time  0.170996
2021-09-11 12:45:57.642706 : Epoch  5, Batch    514, Loss  0.855772, Average Loss  0.870289, Time  0.237379
2021-09-11 12:45:58.016786 : Epoch  5, Batch   1949, Loss  0.882525, Average Loss  0.871011, Time  0.171121
2021-09-11 12:45:59.600733 : Epoch  5, Batch   1950, Loss  0.873536, Average Loss  0.870938, Time  0.175063
2021-09-11 12:46:00.220847 : Epoch  5, Batch    515, Loss  0.850569, Average Loss  0.870181, Time  0.237835
2021-09-11 12:46:01.197811 : Epoch  5, Batch   1951, Loss  0.881939, Average Loss  0.871011, Time  0.176487
2021-09-11 12:46:02.811032 : Epoch  5, Batch   1952, Loss  0.849391, Average Loss  0.870883, Time  0.170537
2021-09-11 12:46:04.423784 : Epoch  5, Batch   1953, Loss  0.874870, Average Loss  0.870763, Time  0.173155
2021-09-11 12:46:05.379405 : Epoch  5, Batch    517, Loss  0.843533, Average Loss  0.869759, Time  0.237137
2021-09-11 12:46:06.010398 : Epoch  5, Batch   1954, Loss  0.863121, Average Loss  0.870786, Time  0.171706
2021-09-11 12:46:07.605818 : Epoch  5, Batch   1955, Loss  0.837879, Average Loss  0.870547, Time  0.170136
2021-09-11 12:46:07.977851 : Epoch  5, Batch    518, Loss  0.868975, Average Loss  0.869814, Time  0.237857
2021-09-11 12:46:09.202949 : Epoch  5, Batch   1956, Loss  0.839971, Average Loss  0.870391, Time  0.171179
2021-09-11 12:46:10.549390 : Epoch  5, Batch    519, Loss  0.862747, Average Loss  0.869861, Time  0.238614
2021-09-11 12:46:13.137069 : Epoch  5, Batch    520, Loss  0.884849, Average Loss  0.869927, Time  0.237856
2021-09-11 12:46:15.718396 : Epoch  5, Batch    521, Loss  0.851108, Average Loss  0.869786, Time  0.237581
2021-09-11 12:46:18.289066 : Epoch  5, Batch    522, Loss  0.857491, Average Loss  0.869644, Time  0.238747
2021-09-11 12:46:20.861597 : Epoch  5, Batch    523, Loss  0.871737, Average Loss  0.869689, Time  0.238433
2021-09-11 12:46:23.472158 : Epoch  5, Batch    524, Loss  0.861773, Average Loss  0.869658, Time  0.237393
2021-09-11 12:46:26.054390 : Epoch  5, Batch    525, Loss  0.882792, Average Loss  0.869767, Time  0.237187
2021-09-11 12:46:28.645356 : Epoch  5, Batch    526, Loss  0.891058, Average Loss  0.869821, Time  0.237612
2021-09-11 12:46:31.253935 : Epoch  5, Batch    527, Loss  0.893520, Average Loss  0.870022, Time  0.239152
2021-09-11 12:46:33.826282 : Epoch  5, Batch    528, Loss  0.872966, Average Loss  0.870037, Time  0.237673
2021-09-11 12:46:36.422890 : Epoch  5, Batch    529, Loss  0.848879, Average Loss  0.869990, Time  0.238677
2021-09-11 12:46:39.001166 : Epoch  5, Batch    530, Loss  0.854712, Average Loss  0.869823, Time  0.237776
2021-09-11 12:46:41.586361 : Epoch  5, Batch    531, Loss  0.884638, Average Loss  0.869882, Time  0.237841
2021-09-11 12:46:44.169062 : Epoch  5, Batch    532, Loss  0.883831, Average Loss  0.870002, Time  0.238480
2021-09-11 12:46:46.771675 : Epoch  5, Batch    533, Loss  0.839282, Average Loss  0.869861, Time  0.239706
2021-09-11 12:46:49.368825 : Epoch  5, Batch    534, Loss  0.852683, Average Loss  0.869624, Time  0.238898
2021-09-11 12:46:51.946894 : Epoch  5, Batch    535, Loss  0.857789, Average Loss  0.869656, Time  0.240295
2021-09-11 12:46:54.553124 : Epoch  5, Batch    536, Loss  0.873992, Average Loss  0.869626, Time  0.237567
2021-09-11 12:46:57.138548 : Epoch  5, Batch    537, Loss  0.882534, Average Loss  0.869736, Time  0.237427
2021-09-11 12:46:59.748833 : Epoch  5, Batch    538, Loss  0.862185, Average Loss  0.869712, Time  0.237216
2021-09-11 12:47:02.320401 : Epoch  5, Batch    539, Loss  0.884964, Average Loss  0.869789, Time  0.237002
2021-09-11 12:47:04.892183 : Epoch  5, Batch    540, Loss  0.867398, Average Loss  0.869683, Time  0.237591
2021-09-11 12:47:07.488193 : Epoch  5, Batch    541, Loss  0.878380, Average Loss  0.869592, Time  0.237420
2021-09-11 12:47:10.069458 : Epoch  5, Batch    542, Loss  0.884656, Average Loss  0.869601, Time  0.237495
2021-09-11 12:47:12.677830 : Epoch  5, Batch    543, Loss  0.858259, Average Loss  0.869606, Time  0.239457
2021-09-11 12:47:15.248156 : Epoch  5, Batch    544, Loss  0.866441, Average Loss  0.869545, Time  0.237494
2021-09-11 12:47:17.822606 : Epoch  5, Batch    545, Loss  0.896362, Average Loss  0.869642, Time  0.238233
2021-09-11 12:47:20.416337 : Epoch  5, Batch    546, Loss  0.869975, Average Loss  0.869576, Time  0.240163
2021-09-11 12:47:23.033303 : Epoch  5, Batch    547, Loss  0.838114, Average Loss  0.869505, Time  0.237649
2021-09-11 12:47:25.625403 : Epoch  5, Batch    548, Loss  0.871602, Average Loss  0.869472, Time  0.237269
2021-09-11 12:47:28.207986 : Epoch  5, Batch    549, Loss  0.863655, Average Loss  0.869537, Time  0.237796
2021-09-11 12:47:30.802651 : Epoch  5, Batch    550, Loss  0.873829, Average Loss  0.869645, Time  0.237192
2021-09-11 12:47:33.378240 : Epoch  5, Batch    551, Loss  0.873752, Average Loss  0.869714, Time  0.239998
2021-09-11 12:47:35.988264 : Epoch  5, Batch    552, Loss  0.875784, Average Loss  0.869753, Time  0.237489
2021-09-11 12:47:38.575369 : Epoch  5, Batch    553, Loss  0.846419, Average Loss  0.869561, Time  0.237868
2021-09-11 12:47:41.201039 : Epoch  5, Batch    554, Loss  0.854655, Average Loss  0.869408, Time  0.260381
2021-09-11 12:47:43.780890 : Epoch  5, Batch    555, Loss  0.861487, Average Loss  0.869460, Time  0.237881
2021-09-11 12:47:46.363075 : Epoch  5, Batch    556, Loss  0.862202, Average Loss  0.869388, Time  0.237705
2021-09-11 12:47:48.967414 : Epoch  5, Batch    557, Loss  0.861336, Average Loss  0.869289, Time  0.237566
2021-09-11 12:47:51.546414 : Epoch  5, Batch    558, Loss  0.875763, Average Loss  0.869341, Time  0.238389
2021-09-11 12:47:54.127044 : Epoch  5, Batch    559, Loss  0.874895, Average Loss  0.869437, Time  0.237809
2021-09-11 12:47:56.723821 : Epoch  5, Batch    560, Loss  0.860201, Average Loss  0.869352, Time  0.238795
2021-09-11 12:47:59.301042 : Epoch  5, Batch    561, Loss  0.876292, Average Loss  0.869277, Time  0.237585
2021-09-11 12:48:01.959869 : Epoch  5, Batch    562, Loss  0.873384, Average Loss  0.869198, Time  0.242352
2021-09-11 12:48:04.536820 : Epoch  5, Batch    563, Loss  0.878173, Average Loss  0.869204, Time  0.237922
2021-09-11 12:48:07.128882 : Epoch  5, Batch    564, Loss  0.872828, Average Loss  0.869363, Time  0.238077
2021-09-11 12:48:09.710888 : Epoch  5, Batch    565, Loss  0.863374, Average Loss  0.869249, Time  0.238096
2021-09-11 12:48:12.284869 : Epoch  5, Batch    566, Loss  0.875081, Average Loss  0.869105, Time  0.237736
2021-09-11 12:48:14.855297 : Epoch  5, Batch    567, Loss  0.859434, Average Loss  0.869166, Time  0.239371
2021-09-11 12:48:17.441675 : Epoch  5, Batch    568, Loss  0.894607, Average Loss  0.869342, Time  0.237345
2021-09-11 12:48:20.017127 : Epoch  5, Batch    569, Loss  0.879383, Average Loss  0.869381, Time  0.237242
2021-09-11 12:48:22.606128 : Epoch  5, Batch    570, Loss  0.839686, Average Loss  0.869185, Time  0.238723
2021-09-11 12:48:25.203298 : Epoch  5, Batch    571, Loss  0.880664, Average Loss  0.869165, Time  0.239928
2021-09-11 12:48:27.804940 : Epoch  5, Batch    572, Loss  0.849602, Average Loss  0.869093, Time  0.238575
2021-09-11 12:48:30.384388 : Epoch  5, Batch    573, Loss  0.869022, Average Loss  0.868971, Time  0.237797
2021-09-11 12:48:32.986914 : Epoch  5, Batch    574, Loss  0.866514, Average Loss  0.868848, Time  0.237940
2021-09-11 12:48:35.564095 : Epoch  5, Batch    575, Loss  0.846789, Average Loss  0.868665, Time  0.238380
2021-09-11 12:48:46.817014 : Epoch  5, Batch    576, Loss  0.857708, Average Loss  0.868611, Time  0.273587
2021-09-11 12:50:49.716714 : CheckPoint: Validation Loss  0.00061225, Best Loss  0.00057296
2021-09-11 12:50:51.314926 : Epoch  5, Batch   1957, Loss  0.890289, Average Loss  0.870532, Time  0.181919
2021-09-11 12:50:52.922852 : Epoch  5, Batch   1958, Loss  0.857597, Average Loss  0.870396, Time  0.173403
2021-09-11 12:50:54.527002 : Epoch  5, Batch   1959, Loss  0.871675, Average Loss  0.870541, Time  0.171361
2021-09-11 12:50:56.117026 : Epoch  5, Batch   1960, Loss  0.854420, Average Loss  0.870447, Time  0.170592
2021-09-11 12:50:57.695857 : Epoch  5, Batch   1961, Loss  0.861547, Average Loss  0.870465, Time  0.171203
2021-09-11 12:50:59.317077 : Epoch  5, Batch   1962, Loss  0.866288, Average Loss  0.870673, Time  0.173926
2021-09-11 12:51:00.908021 : Epoch  5, Batch   1963, Loss  0.870329, Average Loss  0.870728, Time  0.173497
2021-09-11 12:51:02.509068 : Epoch  5, Batch   1964, Loss  0.861930, Average Loss  0.870653, Time  0.173513
2021-09-11 12:51:04.109761 : Epoch  5, Batch   1965, Loss  0.859535, Average Loss  0.870691, Time  0.169951
2021-09-11 12:51:05.704849 : Epoch  5, Batch   1966, Loss  0.876996, Average Loss  0.870636, Time  0.178223
2021-09-11 12:51:07.304034 : Epoch  5, Batch   1967, Loss  0.880618, Average Loss  0.870898, Time  0.170516
2021-09-11 12:51:08.919847 : Epoch  5, Batch   1968, Loss  0.857100, Average Loss  0.870828, Time  0.172636
2021-09-11 12:51:10.541013 : Epoch  5, Batch   1969, Loss  0.894209, Average Loss  0.870961, Time  0.172747
2021-09-11 12:51:12.126792 : Epoch  5, Batch   1970, Loss  0.870088, Average Loss  0.870772, Time  0.174805
2021-09-11 12:51:13.709825 : Epoch  5, Batch   1971, Loss  0.876880, Average Loss  0.870940, Time  0.174061
2021-09-11 12:51:15.322036 : Epoch  5, Batch   1972, Loss  0.836987, Average Loss  0.870780, Time  0.170429
2021-09-11 12:51:16.923025 : Epoch  5, Batch   1973, Loss  0.887916, Average Loss  0.870876, Time  0.171071
2021-09-11 12:51:18.523828 : Epoch  5, Batch   1974, Loss  0.871969, Average Loss  0.870878, Time  0.178334
2021-09-11 12:51:20.122829 : Epoch  5, Batch   1975, Loss  0.872399, Average Loss  0.871095, Time  0.170340
2021-09-11 12:51:21.725825 : Epoch  5, Batch   1976, Loss  0.852215, Average Loss  0.871155, Time  0.171438
2021-09-11 12:51:23.315013 : Epoch  5, Batch   1977, Loss  0.875978, Average Loss  0.871022, Time  0.169801
2021-09-11 12:51:24.918028 : Epoch  5, Batch   1978, Loss  0.840687, Average Loss  0.870841, Time  0.171310
2021-09-11 12:51:26.526030 : Epoch  5, Batch   1979, Loss  0.837507, Average Loss  0.870447, Time  0.180481
2021-09-11 12:51:28.129029 : Epoch  5, Batch   1980, Loss  0.875533, Average Loss  0.870443, Time  0.176364
2021-09-11 12:51:29.716313 : Epoch  5, Batch   1981, Loss  0.834088, Average Loss  0.870316, Time  0.180809
2021-09-11 12:51:31.345797 : Epoch  5, Batch   1982, Loss  0.883226, Average Loss  0.870285, Time  0.178182
2021-09-11 12:51:32.914026 : Epoch  5, Batch   1983, Loss  0.853878, Average Loss  0.870222, Time  0.171823
2021-09-11 12:51:34.510941 : Epoch  5, Batch   1984, Loss  0.846363, Average Loss  0.869979, Time  0.174304
2021-09-11 12:51:36.119921 : Epoch  5, Batch   1985, Loss  0.862217, Average Loss  0.869999, Time  0.171405
2021-09-11 12:51:37.727594 : Epoch  5, Batch   1986, Loss  0.898558, Average Loss  0.869987, Time  0.173192
2021-09-11 12:51:39.317821 : Epoch  5, Batch   1987, Loss  0.874199, Average Loss  0.869894, Time  0.169516
2021-09-11 12:51:40.907872 : Epoch  5, Batch   1988, Loss  0.862087, Average Loss  0.869811, Time  0.170357
2021-09-11 12:51:42.536025 : Epoch  5, Batch   1989, Loss  0.869108, Average Loss  0.869949, Time  0.172559
2021-09-11 12:51:44.140864 : Epoch  5, Batch   1990, Loss  0.907345, Average Loss  0.870123, Time  0.171088
2021-09-11 12:51:45.753839 : Epoch  5, Batch   1991, Loss  0.856273, Average Loss  0.870117, Time  0.171463
2021-09-11 12:51:47.381778 : Epoch  5, Batch   1992, Loss  0.888203, Average Loss  0.870298, Time  0.169893
2021-09-11 12:51:49.002815 : Epoch  5, Batch   1993, Loss  0.894700, Average Loss  0.870420, Time  0.169984
2021-09-11 12:51:50.653994 : Epoch  5, Batch   1994, Loss  0.880682, Average Loss  0.870385, Time  0.169827
2021-09-11 12:51:52.268737 : Epoch  5, Batch   1995, Loss  0.900054, Average Loss  0.870435, Time  0.169805
2021-09-11 12:51:53.882777 : Epoch  5, Batch   1996, Loss  0.859592, Average Loss  0.870456, Time  0.170006
2021-09-11 12:51:55.496743 : Epoch  5, Batch   1997, Loss  0.865748, Average Loss  0.870413, Time  0.169797
2021-09-11 12:51:57.105997 : Epoch  5, Batch   1998, Loss  0.879468, Average Loss  0.870478, Time  0.169766
2021-09-11 12:51:58.719982 : Epoch  5, Batch   1999, Loss  0.889773, Average Loss  0.870720, Time  0.169559
2021-09-11 12:52:00.330740 : Epoch  5, Batch   2000, Loss  0.855126, Average Loss  0.870684, Time  0.170244
2021-09-11 12:52:01.944805 : Epoch  5, Batch   2001, Loss  0.871157, Average Loss  0.870820, Time  0.170059
2021-09-11 12:52:03.532032 : Epoch  5, Batch   2002, Loss  0.877585, Average Loss  0.870793, Time  0.174206
2021-09-11 12:52:05.111774 : Epoch  5, Batch   2003, Loss  0.863639, Average Loss  0.870785, Time  0.170717
2021-09-11 12:52:06.724049 : Epoch  5, Batch   2004, Loss  0.838139, Average Loss  0.870642, Time  0.170642
2021-09-11 12:52:08.323824 : Epoch  5, Batch   2005, Loss  0.864641, Average Loss  0.870492, Time  0.170224
2021-09-11 12:52:09.930808 : Epoch  5, Batch   2006, Loss  0.878458, Average Loss  0.870364, Time  0.172315
2021-09-11 12:52:11.515788 : Epoch  5, Batch   2007, Loss  0.879503, Average Loss  0.870471, Time  0.171214
2021-09-11 12:52:13.087853 : Epoch  5, Batch   2008, Loss  0.906914, Average Loss  0.870686, Time  0.170907
2021-09-11 12:52:14.683799 : Epoch  5, Batch   2009, Loss  0.865043, Average Loss  0.870542, Time  0.175081
2021-09-11 12:52:16.294757 : Epoch  5, Batch   2010, Loss  0.860644, Average Loss  0.870478, Time  0.171696
2021-09-11 12:52:17.886931 : Epoch  5, Batch   2011, Loss  0.863055, Average Loss  0.870287, Time  0.174136
2021-09-11 12:52:19.476031 : Epoch  5, Batch   2012, Loss  0.894777, Average Loss  0.870340, Time  0.170459
2021-09-11 12:52:21.067797 : Epoch  5, Batch   2013, Loss  0.855675, Average Loss  0.870110, Time  0.173927
2021-09-11 12:52:22.654749 : Epoch  5, Batch   2014, Loss  0.875604, Average Loss  0.870278, Time  0.170790
2021-09-11 12:52:24.254025 : Epoch  5, Batch   2015, Loss  0.878149, Average Loss  0.870469, Time  0.172787
2021-09-11 12:52:25.864948 : Epoch  5, Batch   2016, Loss  0.884083, Average Loss  0.870649, Time  0.171983
2021-09-11 12:52:27.432782 : Epoch  5, Batch   2017, Loss  0.876131, Average Loss  0.870635, Time  0.171584
2021-09-11 12:52:29.050747 : Epoch  5, Batch   2018, Loss  0.874793, Average Loss  0.870696, Time  0.170176
2021-09-11 12:52:30.666025 : Epoch  5, Batch   2019, Loss  0.901386, Average Loss  0.870778, Time  0.169768
2021-09-11 12:52:32.264138 : Epoch  5, Batch   2020, Loss  0.905158, Average Loss  0.870772, Time  0.170031
2021-09-11 12:52:33.854024 : Epoch  5, Batch   2021, Loss  0.864022, Average Loss  0.870794, Time  0.172236
2021-09-11 12:52:35.451036 : Epoch  5, Batch   2022, Loss  0.886476, Average Loss  0.870855, Time  0.173013
2021-09-11 12:52:37.024032 : Epoch  5, Batch   2023, Loss  0.889684, Average Loss  0.870867, Time  0.171839
2021-09-11 12:52:38.618024 : Epoch  5, Batch   2024, Loss  0.892194, Average Loss  0.870981, Time  0.171291
2021-09-11 12:52:40.221742 : Epoch  5, Batch   2025, Loss  0.880310, Average Loss  0.871138, Time  0.172389
2021-09-11 12:52:41.819798 : Epoch  5, Batch   2026, Loss  0.871567, Average Loss  0.871100, Time  0.178143
2021-09-11 12:52:43.389908 : Epoch  5, Batch   2027, Loss  0.880996, Average Loss  0.871076, Time  0.170552
2021-09-11 12:52:45.014805 : Epoch  5, Batch   2028, Loss  0.889342, Average Loss  0.871275, Time  0.173069
2021-09-11 12:52:46.633786 : Epoch  5, Batch   2029, Loss  0.881238, Average Loss  0.871277, Time  0.179250
2021-09-11 12:52:47.670768 : CheckPoint: Validation Loss  0.00029814, Best Loss  0.00029019
2021-09-11 12:52:48.239832 : Epoch  5, Batch   2030, Loss  0.858522, Average Loss  0.871141, Time  0.172029
2021-09-11 12:52:49.835822 : Epoch  5, Batch   2031, Loss  0.887709, Average Loss  0.871306, Time  0.171041
2021-09-11 12:52:50.265331 : Epoch  5, Batch    577, Loss  0.878906, Average Loss  0.868653, Time  0.238727
2021-09-11 12:52:51.498021 : Epoch  5, Batch   2032, Loss  0.869561, Average Loss  0.871195, Time  0.173706
2021-09-11 12:52:52.862326 : Epoch  5, Batch    578, Loss  0.867416, Average Loss  0.868690, Time  0.237548
2021-09-11 12:52:53.109036 : Epoch  5, Batch   2033, Loss  0.856743, Average Loss  0.871050, Time  0.170251
2021-09-11 12:52:54.713837 : Epoch  5, Batch   2034, Loss  0.881105, Average Loss  0.871080, Time  0.169709
2021-09-11 12:52:55.438871 : Epoch  5, Batch    579, Loss  0.867371, Average Loss  0.868847, Time  0.237378
2021-09-11 12:52:56.303757 : Epoch  5, Batch   2035, Loss  0.873501, Average Loss  0.871145, Time  0.171624
2021-09-11 12:52:57.883747 : Epoch  5, Batch   2036, Loss  0.892925, Average Loss  0.871348, Time  0.170282
2021-09-11 12:52:58.027613 : Epoch  5, Batch    580, Loss  0.866831, Average Loss  0.868720, Time  0.237750
2021-09-11 12:52:59.506030 : Epoch  5, Batch   2037, Loss  0.854122, Average Loss  0.871174, Time  0.174308
2021-09-11 12:53:00.614629 : Epoch  5, Batch    581, Loss  0.885321, Average Loss  0.868870, Time  0.238225
2021-09-11 12:53:01.107746 : Epoch  5, Batch   2038, Loss  0.876594, Average Loss  0.871282, Time  0.176199
2021-09-11 12:53:02.691832 : Epoch  5, Batch   2039, Loss  0.874513, Average Loss  0.871324, Time  0.172875
2021-09-11 12:53:03.196369 : Epoch  5, Batch    582, Loss  0.871848, Average Loss  0.868931, Time  0.238128
2021-09-11 12:53:04.312734 : Epoch  5, Batch   2040, Loss  0.895546, Average Loss  0.871494, Time  0.176328
2021-09-11 12:53:05.780054 : Epoch  5, Batch    583, Loss  0.876656, Average Loss  0.869081, Time  0.238378
2021-09-11 12:53:05.907877 : Epoch  5, Batch   2041, Loss  0.860109, Average Loss  0.871609, Time  0.172897
2021-09-11 12:53:07.495746 : Epoch  5, Batch   2042, Loss  0.860748, Average Loss  0.871379, Time  0.172497
2021-09-11 12:53:08.355614 : Epoch  5, Batch    584, Loss  0.868955, Average Loss  0.869048, Time  0.237265
2021-09-11 12:53:09.101908 : Epoch  5, Batch   2043, Loss  0.839301, Average Loss  0.871328, Time  0.172271
2021-09-11 12:53:10.699831 : Epoch  5, Batch   2044, Loss  0.850719, Average Loss  0.871134, Time  0.170099
2021-09-11 12:53:10.934161 : Epoch  5, Batch    585, Loss  0.896500, Average Loss  0.869157, Time  0.237592
2021-09-11 12:53:12.299810 : Epoch  5, Batch   2045, Loss  0.886887, Average Loss  0.871184, Time  0.170055
2021-09-11 12:53:13.507273 : Epoch  5, Batch    586, Loss  0.869316, Average Loss  0.869124, Time  0.237613
2021-09-11 12:53:13.894968 : Epoch  5, Batch   2046, Loss  0.880848, Average Loss  0.871209, Time  0.173193
2021-09-11 12:53:15.508998 : Epoch  5, Batch   2047, Loss  0.874675, Average Loss  0.871151, Time  0.169754
2021-09-11 12:53:16.078656 : Epoch  5, Batch    587, Loss  0.859876, Average Loss  0.869147, Time  0.237302
2021-09-11 12:53:17.121782 : Epoch  5, Batch   2048, Loss  0.836264, Average Loss  0.870964, Time  0.169883
2021-09-11 12:53:18.660026 : Epoch  5, Batch    588, Loss  0.868430, Average Loss  0.869107, Time  0.238329
2021-09-11 12:53:18.739815 : Epoch  5, Batch   2049, Loss  0.855244, Average Loss  0.870806, Time  0.169541
2021-09-11 12:53:20.371873 : Epoch  5, Batch   2050, Loss  0.855525, Average Loss  0.870683, Time  0.169793
2021-09-11 12:53:21.237622 : Epoch  5, Batch    589, Loss  0.853953, Average Loss  0.868994, Time  0.237271
2021-09-11 12:53:21.981993 : Epoch  5, Batch   2051, Loss  0.839396, Average Loss  0.870507, Time  0.169511
2021-09-11 12:53:23.581803 : Epoch  5, Batch   2052, Loss  0.876926, Average Loss  0.870584, Time  0.169430
2021-09-11 12:53:23.820598 : Epoch  5, Batch    590, Loss  0.859771, Average Loss  0.868978, Time  0.237499
2021-09-11 12:53:25.185799 : Epoch  5, Batch   2053, Loss  0.872024, Average Loss  0.870611, Time  0.169896
2021-09-11 12:53:26.416001 : Epoch  5, Batch    591, Loss  0.870547, Average Loss  0.869007, Time  0.238557
2021-09-11 12:53:26.795002 : Epoch  5, Batch   2054, Loss  0.865159, Average Loss  0.870562, Time  0.169736
2021-09-11 12:53:28.407791 : Epoch  5, Batch   2055, Loss  0.881889, Average Loss  0.870549, Time  0.169574
2021-09-11 12:53:29.004404 : Epoch  5, Batch    592, Loss  0.880717, Average Loss  0.868983, Time  0.237327
2021-09-11 12:53:30.024783 : Epoch  5, Batch   2056, Loss  0.861782, Average Loss  0.870446, Time  0.169628
2021-09-11 12:53:31.592375 : Epoch  5, Batch    593, Loss  0.871886, Average Loss  0.868947, Time  0.238278
2021-09-11 12:53:34.184174 : Epoch  5, Batch    594, Loss  0.846764, Average Loss  0.868753, Time  0.240746
2021-09-11 12:53:36.766126 : Epoch  5, Batch    595, Loss  0.849431, Average Loss  0.868714, Time  0.237921
2021-09-11 12:53:39.346660 : Epoch  5, Batch    596, Loss  0.880388, Average Loss  0.868809, Time  0.237334
2021-09-11 12:53:41.934080 : Epoch  5, Batch    597, Loss  0.867397, Average Loss  0.868783, Time  0.238318
2021-09-11 12:53:44.516281 : Epoch  5, Batch    598, Loss  0.876543, Average Loss  0.868689, Time  0.237519
2021-09-11 12:53:47.106126 : Epoch  5, Batch    599, Loss  0.872510, Average Loss  0.868746, Time  0.238350
2021-09-11 12:53:49.684625 : Epoch  5, Batch    600, Loss  0.866018, Average Loss  0.868854, Time  0.237417
2021-09-11 12:53:52.287743 : Epoch  5, Batch    601, Loss  0.850893, Average Loss  0.868740, Time  0.239973
2021-09-11 12:53:54.873313 : Epoch  5, Batch    602, Loss  0.876401, Average Loss  0.868860, Time  0.238086
2021-09-11 12:53:57.460198 : Epoch  5, Batch    603, Loss  0.862285, Average Loss  0.868803, Time  0.239127
2021-09-11 12:54:00.043103 : Epoch  5, Batch    604, Loss  0.855007, Average Loss  0.868726, Time  0.237616
2021-09-11 12:54:02.633421 : Epoch  5, Batch    605, Loss  0.896987, Average Loss  0.868878, Time  0.238159
2021-09-11 12:54:05.226945 : Epoch  5, Batch    606, Loss  0.888307, Average Loss  0.868976, Time  0.239158
2021-09-11 12:54:07.846407 : Epoch  5, Batch    607, Loss  0.858376, Average Loss  0.868892, Time  0.240984
2021-09-11 12:54:10.439824 : Epoch  5, Batch    608, Loss  0.878614, Average Loss  0.868968, Time  0.237705
2021-09-11 12:54:13.026556 : Epoch  5, Batch    609, Loss  0.872898, Average Loss  0.869110, Time  0.237377
2021-09-11 12:54:15.607980 : Epoch  5, Batch    610, Loss  0.848647, Average Loss  0.869078, Time  0.237964
2021-09-11 12:54:18.191146 : Epoch  5, Batch    611, Loss  0.889697, Average Loss  0.869228, Time  0.237563
2021-09-11 12:54:20.779179 : Epoch  5, Batch    612, Loss  0.898853, Average Loss  0.869325, Time  0.237599
2021-09-11 12:54:23.367571 : Epoch  5, Batch    613, Loss  0.848783, Average Loss  0.869248, Time  0.238343
2021-09-11 12:54:25.963894 : Epoch  5, Batch    614, Loss  0.868783, Average Loss  0.869294, Time  0.238984
2021-09-11 12:54:28.561963 : Epoch  5, Batch    615, Loss  0.871912, Average Loss  0.869332, Time  0.238277
2021-09-11 12:54:31.147958 : Epoch  5, Batch    616, Loss  0.879129, Average Loss  0.869346, Time  0.240516
2021-09-11 12:54:33.730405 : Epoch  5, Batch    617, Loss  0.868531, Average Loss  0.869377, Time  0.238091
2021-09-11 12:54:36.308676 : Epoch  5, Batch    618, Loss  0.890422, Average Loss  0.869543, Time  0.237236
2021-09-11 12:54:38.897381 : Epoch  5, Batch    619, Loss  0.877470, Average Loss  0.869725, Time  0.240661
2021-09-11 12:54:41.474685 : Epoch  5, Batch    620, Loss  0.856609, Average Loss  0.869673, Time  0.238392
2021-09-11 12:54:44.059300 : Epoch  5, Batch    621, Loss  0.867101, Average Loss  0.869692, Time  0.237738
2021-09-11 12:54:46.640117 : Epoch  5, Batch    622, Loss  0.877687, Average Loss  0.869741, Time  0.239602
2021-09-11 12:54:49.229878 : Epoch  5, Batch    623, Loss  0.879945, Average Loss  0.869798, Time  0.237208
2021-09-11 12:54:51.807990 : Epoch  5, Batch    624, Loss  0.892031, Average Loss  0.870030, Time  0.236984
2021-09-11 12:54:54.401124 : Epoch  5, Batch    625, Loss  0.880755, Average Loss  0.870114, Time  0.237522
2021-09-11 12:54:56.974885 : Epoch  5, Batch    626, Loss  0.876691, Average Loss  0.870224, Time  0.237215
2021-09-11 12:54:59.563082 : Epoch  5, Batch    627, Loss  0.862947, Average Loss  0.870234, Time  0.237809
2021-09-11 12:55:02.165052 : Epoch  5, Batch    628, Loss  0.884717, Average Loss  0.870297, Time  0.244781
2021-09-11 12:55:04.783922 : Epoch  5, Batch    629, Loss  0.858718, Average Loss  0.870279, Time  0.237500
2021-09-11 12:55:07.367671 : Epoch  5, Batch    630, Loss  0.868350, Average Loss  0.870312, Time  0.237421
2021-09-11 12:55:09.954161 : Epoch  5, Batch    631, Loss  0.876701, Average Loss  0.870448, Time  0.239383
2021-09-11 12:55:12.542201 : Epoch  5, Batch    632, Loss  0.871347, Average Loss  0.870473, Time  0.239975
2021-09-11 12:55:15.129201 : Epoch  5, Batch    633, Loss  0.846243, Average Loss  0.870399, Time  0.237634
2021-09-11 12:55:17.715222 : Epoch  5, Batch    634, Loss  0.873184, Average Loss  0.870418, Time  0.238595
2021-09-11 12:55:20.295001 : Epoch  5, Batch    635, Loss  0.861627, Average Loss  0.870319, Time  0.237358
2021-09-11 12:55:22.868997 : Epoch  5, Batch    636, Loss  0.852133, Average Loss  0.870188, Time  0.238355
2021-09-11 12:55:25.444512 : Epoch  5, Batch    637, Loss  0.861947, Average Loss  0.870139, Time  0.237677
2021-09-11 12:55:28.016885 : Epoch  5, Batch    638, Loss  0.877877, Average Loss  0.870171, Time  0.237330
2021-09-11 12:55:30.595877 : Epoch  5, Batch    639, Loss  0.869460, Average Loss  0.870178, Time  0.237066
2021-09-11 12:55:33.183580 : Epoch  5, Batch    640, Loss  0.863945, Average Loss  0.870095, Time  0.238621
2021-09-11 12:55:35.785183 : Epoch  5, Batch    641, Loss  0.882707, Average Loss  0.870181, Time  0.238209
2021-09-11 12:55:38.358467 : Epoch  5, Batch    642, Loss  0.852521, Average Loss  0.870149, Time  0.239722
2021-09-11 12:55:40.944039 : Epoch  5, Batch    643, Loss  0.878323, Average Loss  0.870234, Time  0.238819
2021-09-11 12:55:43.533827 : Epoch  5, Batch    644, Loss  0.845105, Average Loss  0.870109, Time  0.237637
2021-09-11 12:55:46.111229 : Epoch  5, Batch    645, Loss  0.855092, Average Loss  0.870035, Time  0.237953
2021-09-11 12:55:48.696399 : Epoch  5, Batch    646, Loss  0.870271, Average Loss  0.869990, Time  0.237824
2021-09-11 12:55:51.272796 : Epoch  5, Batch    647, Loss  0.886980, Average Loss  0.869987, Time  0.238795
2021-09-11 12:55:53.865372 : Epoch  5, Batch    648, Loss  0.883384, Average Loss  0.869972, Time  0.237511
2021-09-11 12:55:56.451941 : Epoch  5, Batch    649, Loss  0.863398, Average Loss  0.869968, Time  0.237679
2021-09-11 12:55:59.035609 : Epoch  5, Batch    650, Loss  0.877720, Average Loss  0.870009, Time  0.239496
2021-09-11 12:56:01.627966 : Epoch  5, Batch    651, Loss  0.872540, Average Loss  0.870040, Time  0.237514
2021-09-11 12:56:04.207283 : Epoch  5, Batch    652, Loss  0.878411, Average Loss  0.870134, Time  0.237266
2021-09-11 12:56:06.785573 : Epoch  5, Batch    653, Loss  0.865622, Average Loss  0.870030, Time  0.237348
2021-09-11 12:56:09.382397 : Epoch  5, Batch    654, Loss  0.880732, Average Loss  0.870118, Time  0.239769
2021-09-11 12:56:11.953819 : Epoch  5, Batch    655, Loss  0.877253, Average Loss  0.870049, Time  0.237620
2021-09-11 12:56:14.535416 : Epoch  5, Batch    656, Loss  0.880439, Average Loss  0.870144, Time  0.238580
2021-09-11 12:56:17.110879 : Epoch  5, Batch    657, Loss  0.867233, Average Loss  0.870006, Time  0.237968
2021-09-11 12:56:19.698980 : Epoch  5, Batch    658, Loss  0.856058, Average Loss  0.869981, Time  0.237570
2021-09-11 12:56:22.272060 : Epoch  5, Batch    659, Loss  0.871859, Average Loss  0.870070, Time  0.237624
2021-09-11 12:56:24.855406 : Epoch  5, Batch    660, Loss  0.876301, Average Loss  0.870215, Time  0.237841
2021-09-11 12:56:27.437421 : Epoch  5, Batch    661, Loss  0.858381, Average Loss  0.870265, Time  0.237696
2021-09-11 12:56:30.019681 : Epoch  5, Batch    662, Loss  0.873696, Average Loss  0.870311, Time  0.237487
2021-09-11 12:56:32.592676 : Epoch  5, Batch    663, Loss  0.875927, Average Loss  0.870300, Time  0.237136
2021-09-11 12:56:35.175222 : Epoch  5, Batch    664, Loss  0.890239, Average Loss  0.870392, Time  0.237570
2021-09-11 12:56:37.749375 : Epoch  5, Batch    665, Loss  0.884596, Average Loss  0.870509, Time  0.237357
2021-09-11 12:56:40.328984 : Epoch  5, Batch    666, Loss  0.871701, Average Loss  0.870528, Time  0.237529
2021-09-11 12:56:42.927252 : Epoch  5, Batch    667, Loss  0.858110, Average Loss  0.870478, Time  0.237423
2021-09-11 12:56:45.497366 : Epoch  5, Batch    668, Loss  0.870665, Average Loss  0.870457, Time  0.237070
2021-09-11 12:56:48.098223 : Epoch  5, Batch    669, Loss  0.854330, Average Loss  0.870361, Time  0.256077
2021-09-11 12:56:50.672382 : Epoch  5, Batch    670, Loss  0.874848, Average Loss  0.870397, Time  0.237479
2021-09-11 12:56:53.249989 : Epoch  5, Batch    671, Loss  0.891413, Average Loss  0.870414, Time  0.237551
2021-09-11 12:56:55.827339 : Epoch  5, Batch    672, Loss  0.867247, Average Loss  0.870364, Time  0.237553
2021-09-11 12:56:58.408058 : Epoch  5, Batch    673, Loss  0.861996, Average Loss  0.870354, Time  0.237904
2021-09-11 12:57:00.988889 : Epoch  5, Batch    674, Loss  0.878485, Average Loss  0.870392, Time  0.238950
2021-09-11 12:57:03.576032 : Epoch  5, Batch    675, Loss  0.858438, Average Loss  0.870326, Time  0.238534
2021-09-11 12:57:06.152458 : Epoch  5, Batch    676, Loss  0.869401, Average Loss  0.870295, Time  0.237077
2021-09-11 12:58:10.317732 : CheckPoint: Validation Loss  0.00062723, Best Loss  0.00057296
2021-09-11 12:58:11.953797 : Epoch  5, Batch   2057, Loss  0.872280, Average Loss  0.870449, Time  0.176333
2021-09-11 12:58:13.541810 : Epoch  5, Batch   2058, Loss  0.859102, Average Loss  0.870364, Time  0.171521
2021-09-11 12:58:15.137008 : Epoch  5, Batch   2059, Loss  0.863292, Average Loss  0.870272, Time  0.171643
2021-09-11 12:58:16.711198 : Epoch  5, Batch   2060, Loss  0.896900, Average Loss  0.870489, Time  0.173358
2021-09-11 12:58:18.285026 : Epoch  5, Batch   2061, Loss  0.857621, Average Loss  0.870430, Time  0.170150
2021-09-11 12:58:19.887045 : Epoch  5, Batch   2062, Loss  0.841983, Average Loss  0.870238, Time  0.178208
2021-09-11 12:58:21.476755 : Epoch  5, Batch   2063, Loss  0.850463, Average Loss  0.870105, Time  0.172202
2021-09-11 12:58:23.055879 : Epoch  5, Batch   2064, Loss  0.875781, Average Loss  0.870213, Time  0.170762
2021-09-11 12:58:24.637024 : Epoch  5, Batch   2065, Loss  0.869362, Average Loss  0.870175, Time  0.170122
2021-09-11 12:58:26.254022 : Epoch  5, Batch   2066, Loss  0.914693, Average Loss  0.870396, Time  0.169704
2021-09-11 12:58:27.876010 : Epoch  5, Batch   2067, Loss  0.886950, Average Loss  0.870473, Time  0.170115
2021-09-11 12:58:29.493027 : Epoch  5, Batch   2068, Loss  0.881407, Average Loss  0.870521, Time  0.172292
2021-09-11 12:58:31.098025 : Epoch  5, Batch   2069, Loss  0.858267, Average Loss  0.870580, Time  0.170215
2021-09-11 12:58:32.718845 : Epoch  5, Batch   2070, Loss  0.859693, Average Loss  0.870521, Time  0.171978
2021-09-11 12:58:34.328046 : Epoch  5, Batch   2071, Loss  0.891283, Average Loss  0.870538, Time  0.169946
2021-09-11 12:58:35.939797 : Epoch  5, Batch   2072, Loss  0.870552, Average Loss  0.870616, Time  0.169876
2021-09-11 12:58:37.547937 : Epoch  5, Batch   2073, Loss  0.891964, Average Loss  0.870727, Time  0.169914
2021-09-11 12:58:39.155028 : Epoch  5, Batch   2074, Loss  0.873751, Average Loss  0.870720, Time  0.169960
2021-09-11 12:58:40.776045 : Epoch  5, Batch   2075, Loss  0.877002, Average Loss  0.870775, Time  0.170027
2021-09-11 12:58:42.385027 : Epoch  5, Batch   2076, Loss  0.884744, Average Loss  0.870760, Time  0.169819
2021-09-11 12:58:43.988901 : Epoch  5, Batch   2077, Loss  0.849894, Average Loss  0.870631, Time  0.169889
2021-09-11 12:58:45.599030 : Epoch  5, Batch   2078, Loss  0.846376, Average Loss  0.870485, Time  0.170109
2021-09-11 12:58:47.203029 : Epoch  5, Batch   2079, Loss  0.879037, Average Loss  0.870493, Time  0.169943
2021-09-11 12:58:48.825033 : Epoch  5, Batch   2080, Loss  0.898671, Average Loss  0.870583, Time  0.169940
2021-09-11 12:58:50.432796 : Epoch  5, Batch   2081, Loss  0.879450, Average Loss  0.870695, Time  0.170200
2021-09-11 12:58:52.051901 : Epoch  5, Batch   2082, Loss  0.830007, Average Loss  0.870685, Time  0.170517
2021-09-11 12:58:53.652049 : Epoch  5, Batch   2083, Loss  0.872363, Average Loss  0.870716, Time  0.171362
2021-09-11 12:58:55.245280 : Epoch  5, Batch   2084, Loss  0.883365, Average Loss  0.870776, Time  0.174553
2021-09-11 12:58:56.818180 : Epoch  5, Batch   2085, Loss  0.890335, Average Loss  0.870881, Time  0.173733
2021-09-11 12:58:58.395817 : Epoch  5, Batch   2086, Loss  0.866643, Average Loss  0.870866, Time  0.172399
2021-09-11 12:58:59.984800 : Epoch  5, Batch   2087, Loss  0.869149, Average Loss  0.870796, Time  0.174446
2021-09-11 12:59:01.558032 : Epoch  5, Batch   2088, Loss  0.868809, Average Loss  0.870737, Time  0.173101
2021-09-11 12:59:03.134023 : Epoch  5, Batch   2089, Loss  0.854810, Average Loss  0.870621, Time  0.170241
2021-09-11 12:59:04.721863 : Epoch  5, Batch   2090, Loss  0.868796, Average Loss  0.870581, Time  0.170641
2021-09-11 12:59:06.317886 : Epoch  5, Batch   2091, Loss  0.862264, Average Loss  0.870545, Time  0.170006
2021-09-11 12:59:07.912849 : Epoch  5, Batch   2092, Loss  0.858781, Average Loss  0.870373, Time  0.171787
2021-09-11 12:59:09.494033 : Epoch  5, Batch   2093, Loss  0.845815, Average Loss  0.870145, Time  0.170084
2021-09-11 12:59:11.092024 : Epoch  5, Batch   2094, Loss  0.870892, Average Loss  0.870038, Time  0.171487
2021-09-11 12:59:12.663033 : Epoch  5, Batch   2095, Loss  0.854647, Average Loss  0.869909, Time  0.169452
2021-09-11 12:59:14.270830 : Epoch  5, Batch   2096, Loss  0.850440, Average Loss  0.869872, Time  0.174538
2021-09-11 12:59:15.860024 : Epoch  5, Batch   2097, Loss  0.843740, Average Loss  0.869769, Time  0.173567
2021-09-11 12:59:17.442738 : Epoch  5, Batch   2098, Loss  0.874987, Average Loss  0.869776, Time  0.174092
2021-09-11 12:59:19.031034 : Epoch  5, Batch   2099, Loss  0.861812, Average Loss  0.869682, Time  0.169641
2021-09-11 12:59:20.642038 : Epoch  5, Batch   2100, Loss  0.871362, Average Loss  0.869799, Time  0.171963
2021-09-11 12:59:22.247740 : Epoch  5, Batch   2101, Loss  0.884397, Average Loss  0.869765, Time  0.180899
2021-09-11 12:59:23.854824 : Epoch  5, Batch   2102, Loss  0.899800, Average Loss  0.869951, Time  0.173105
2021-09-11 12:59:25.452027 : Epoch  5, Batch   2103, Loss  0.862556, Average Loss  0.869873, Time  0.170544
2021-09-11 12:59:27.081036 : Epoch  5, Batch   2104, Loss  0.854482, Average Loss  0.869899, Time  0.170166
2021-09-11 12:59:28.662025 : Epoch  5, Batch   2105, Loss  0.884754, Average Loss  0.870005, Time  0.174208
2021-09-11 12:59:30.253677 : Epoch  5, Batch   2106, Loss  0.872604, Average Loss  0.869939, Time  0.174911
2021-09-11 12:59:31.850925 : Epoch  5, Batch   2107, Loss  0.822977, Average Loss  0.869531, Time  0.170193
2021-09-11 12:59:33.447852 : Epoch  5, Batch   2108, Loss  0.862831, Average Loss  0.869503, Time  0.172132
2021-09-11 12:59:35.040737 : Epoch  5, Batch   2109, Loss  0.901981, Average Loss  0.869789, Time  0.170491
2021-09-11 12:59:36.618843 : Epoch  5, Batch   2110, Loss  0.876613, Average Loss  0.869870, Time  0.170839
2021-09-11 12:59:38.205734 : Epoch  5, Batch   2111, Loss  0.893344, Average Loss  0.869806, Time  0.172563
2021-09-11 12:59:39.802846 : Epoch  5, Batch   2112, Loss  0.875376, Average Loss  0.869690, Time  0.177864
2021-09-11 12:59:41.405031 : Epoch  5, Batch   2113, Loss  0.872744, Average Loss  0.869617, Time  0.170028
2021-09-11 12:59:43.008740 : Epoch  5, Batch   2114, Loss  0.869514, Average Loss  0.869628, Time  0.173491
2021-09-11 12:59:44.597029 : Epoch  5, Batch   2115, Loss  0.890029, Average Loss  0.869839, Time  0.174102
2021-09-11 12:59:46.185777 : Epoch  5, Batch   2116, Loss  0.849654, Average Loss  0.869738, Time  0.171084
2021-09-11 12:59:47.778893 : Epoch  5, Batch   2117, Loss  0.868461, Average Loss  0.869852, Time  0.171145
2021-09-11 12:59:49.372777 : Epoch  5, Batch   2118, Loss  0.867447, Average Loss  0.869879, Time  0.172117
2021-09-11 12:59:50.985034 : Epoch  5, Batch   2119, Loss  0.850054, Average Loss  0.869779, Time  0.170072
2021-09-11 12:59:52.587020 : Epoch  5, Batch   2120, Loss  0.860924, Average Loss  0.869677, Time  0.171363
2021-09-11 12:59:54.178747 : Epoch  5, Batch   2121, Loss  0.835551, Average Loss  0.869620, Time  0.170230
2021-09-11 12:59:55.769186 : Epoch  5, Batch   2122, Loss  0.896611, Average Loss  0.869614, Time  0.171092
2021-09-11 12:59:57.363856 : Epoch  5, Batch   2123, Loss  0.867765, Average Loss  0.869791, Time  0.175187
2021-09-11 12:59:58.933596 : Epoch  5, Batch   2124, Loss  0.875327, Average Loss  0.869804, Time  0.170907
2021-09-11 13:00:00.549754 : Epoch  5, Batch   2125, Loss  0.886276, Average Loss  0.869978, Time  0.171831
2021-09-11 13:00:02.150810 : Epoch  5, Batch   2126, Loss  0.875942, Average Loss  0.870013, Time  0.172921
2021-09-11 13:00:03.743758 : Epoch  5, Batch   2127, Loss  0.876372, Average Loss  0.870096, Time  0.177710
2021-09-11 13:00:05.363030 : Epoch  5, Batch   2128, Loss  0.864962, Average Loss  0.870091, Time  0.173612
2021-09-11 13:00:06.975740 : Epoch  5, Batch   2129, Loss  0.859130, Average Loss  0.870129, Time  0.176814
2021-09-11 13:00:08.587026 : Epoch  5, Batch   2130, Loss  0.883771, Average Loss  0.870218, Time  0.171283
2021-09-11 13:00:10.178736 : Epoch  5, Batch   2131, Loss  0.869904, Average Loss  0.870211, Time  0.170099
2021-09-11 13:00:11.812881 : Epoch  5, Batch   2132, Loss  0.891423, Average Loss  0.870218, Time  0.169865
2021-09-11 13:00:13.415257 : Epoch  5, Batch   2133, Loss  0.869443, Average Loss  0.870229, Time  0.171695
2021-09-11 13:00:15.027043 : Epoch  5, Batch   2134, Loss  0.882631, Average Loss  0.870218, Time  0.173904
2021-09-11 13:00:16.640759 : Epoch  5, Batch   2135, Loss  0.903458, Average Loss  0.870399, Time  0.174133
2021-09-11 13:00:18.235098 : Epoch  5, Batch   2136, Loss  0.867544, Average Loss  0.870306, Time  0.169737
2021-09-11 13:00:19.840756 : Epoch  5, Batch   2137, Loss  0.883800, Average Loss  0.870345, Time  0.173749
2021-09-11 13:00:21.433924 : Epoch  5, Batch   2138, Loss  0.846639, Average Loss  0.870254, Time  0.172118
2021-09-11 13:00:23.009768 : Epoch  5, Batch   2139, Loss  0.886162, Average Loss  0.870282, Time  0.173613
2021-09-11 13:00:24.598827 : Epoch  5, Batch   2140, Loss  0.850040, Average Loss  0.870427, Time  0.169838
2021-09-11 13:00:26.188029 : Epoch  5, Batch   2141, Loss  0.863921, Average Loss  0.870373, Time  0.170036
2021-09-11 13:00:27.807038 : Epoch  5, Batch   2142, Loss  0.837046, Average Loss  0.870300, Time  0.174327
2021-09-11 13:00:29.388741 : Epoch  5, Batch   2143, Loss  0.885612, Average Loss  0.870409, Time  0.170054
2021-09-11 13:00:30.987042 : Epoch  5, Batch   2144, Loss  0.875421, Average Loss  0.870367, Time  0.170357
2021-09-11 13:00:32.568819 : Epoch  5, Batch   2145, Loss  0.870644, Average Loss  0.870446, Time  0.169770
2021-09-11 13:00:34.170768 : Epoch  5, Batch   2146, Loss  0.846570, Average Loss  0.870201, Time  0.172976
2021-09-11 13:00:35.777942 : Epoch  5, Batch   2147, Loss  0.900422, Average Loss  0.870647, Time  0.170081
2021-09-11 13:00:37.412740 : Epoch  5, Batch   2148, Loss  0.887585, Average Loss  0.870617, Time  0.174271
2021-09-11 13:00:39.001752 : Epoch  5, Batch   2149, Loss  0.886103, Average Loss  0.870635, Time  0.171222
2021-09-11 13:00:40.612023 : Epoch  5, Batch   2150, Loss  0.839451, Average Loss  0.870464, Time  0.179897
2021-09-11 13:00:42.213740 : Epoch  5, Batch   2151, Loss  0.883953, Average Loss  0.870474, Time  0.182012
2021-09-11 13:00:43.809743 : Epoch  5, Batch   2152, Loss  0.867084, Average Loss  0.870563, Time  0.174263
2021-09-11 13:00:45.390978 : Epoch  5, Batch   2153, Loss  0.866777, Average Loss  0.870522, Time  0.169714
2021-09-11 13:00:46.965030 : Epoch  5, Batch   2154, Loss  0.854145, Average Loss  0.870477, Time  0.173404
2021-09-11 13:00:48.559727 : Epoch  5, Batch   2155, Loss  0.880161, Average Loss  0.870689, Time  0.178590
2021-09-11 13:00:55.620351 : Epoch  5, Batch   2156, Loss  0.872844, Average Loss  0.870853, Time  0.180168
2021-09-11 13:01:08.422737 : CheckPoint: Validation Loss  0.00029700, Best Loss  0.00029019
2021-09-11 13:01:11.033143 : Epoch  5, Batch    677, Loss  0.886436, Average Loss  0.870294, Time  0.270140
2021-09-11 13:01:13.610029 : Epoch  5, Batch    678, Loss  0.859940, Average Loss  0.870193, Time  0.239352
2021-09-11 13:01:16.203890 : Epoch  5, Batch    679, Loss  0.859536, Average Loss  0.870035, Time  0.238996
2021-09-11 13:01:18.781971 : Epoch  5, Batch    680, Loss  0.850310, Average Loss  0.869899, Time  0.237783
2021-09-11 13:01:21.365658 : Epoch  5, Batch    681, Loss  0.887681, Average Loss  0.869925, Time  0.237757
2021-09-11 13:01:23.937638 : Epoch  5, Batch    682, Loss  0.878945, Average Loss  0.869912, Time  0.237587
2021-09-11 13:01:26.522196 : Epoch  5, Batch    683, Loss  0.878254, Average Loss  0.869942, Time  0.240172
2021-09-11 13:01:29.097416 : Epoch  5, Batch    684, Loss  0.845998, Average Loss  0.869836, Time  0.238276
2021-09-11 13:01:31.676051 : Epoch  5, Batch    685, Loss  0.867758, Average Loss  0.869879, Time  0.237534
2021-09-11 13:01:34.254225 : Epoch  5, Batch    686, Loss  0.857805, Average Loss  0.869820, Time  0.238741
2021-09-11 13:01:36.833339 : Epoch  5, Batch    687, Loss  0.896452, Average Loss  0.869882, Time  0.237766
2021-09-11 13:01:39.409697 : Epoch  5, Batch    688, Loss  0.878094, Average Loss  0.869887, Time  0.237619
2021-09-11 13:01:41.992911 : Epoch  5, Batch    689, Loss  0.843766, Average Loss  0.869746, Time  0.238195
2021-09-11 13:01:44.575434 : Epoch  5, Batch    690, Loss  0.863356, Average Loss  0.869726, Time  0.239625
2021-09-11 13:01:47.195987 : Epoch  5, Batch    691, Loss  0.868122, Average Loss  0.869723, Time  0.237831
2021-09-11 13:01:49.765980 : Epoch  5, Batch    692, Loss  0.856901, Average Loss  0.869646, Time  0.237772
2021-09-11 13:01:52.350383 : Epoch  5, Batch    693, Loss  0.857975, Average Loss  0.869639, Time  0.237082
2021-09-11 13:01:54.940829 : Epoch  5, Batch    694, Loss  0.855649, Average Loss  0.869565, Time  0.237620
2021-09-11 13:01:57.572681 : Epoch  5, Batch    695, Loss  0.878405, Average Loss  0.869604, Time  0.238417
2021-09-11 13:02:00.156798 : Epoch  5, Batch    696, Loss  0.861491, Average Loss  0.869597, Time  0.238607
2021-09-11 13:02:02.776369 : Epoch  5, Batch    697, Loss  0.874713, Average Loss  0.869604, Time  0.240434
2021-09-11 13:02:05.387616 : Epoch  5, Batch    698, Loss  0.872713, Average Loss  0.869516, Time  0.237814
2021-09-11 13:02:07.960168 : Epoch  5, Batch    699, Loss  0.856899, Average Loss  0.869329, Time  0.239025
2021-09-11 13:02:10.539602 : Epoch  5, Batch    700, Loss  0.892942, Average Loss  0.869381, Time  0.240298
2021-09-11 13:02:13.115837 : Epoch  5, Batch    701, Loss  0.884955, Average Loss  0.869377, Time  0.238452
2021-09-11 13:02:15.691613 : Epoch  5, Batch    702, Loss  0.867648, Average Loss  0.869289, Time  0.238509
2021-09-11 13:02:18.268170 : Epoch  5, Batch    703, Loss  0.886539, Average Loss  0.869429, Time  0.237803
2021-09-11 13:02:20.840129 : Epoch  5, Batch    704, Loss  0.849986, Average Loss  0.869256, Time  0.237532
2021-09-11 13:02:23.412345 : Epoch  5, Batch    705, Loss  0.869366, Average Loss  0.869194, Time  0.237637
2021-09-11 13:02:25.989977 : Epoch  5, Batch    706, Loss  0.893728, Average Loss  0.869287, Time  0.237701
2021-09-11 13:02:28.563115 : Epoch  5, Batch    707, Loss  0.895162, Average Loss  0.869375, Time  0.237602
2021-09-11 13:02:31.149195 : Epoch  5, Batch    708, Loss  0.861411, Average Loss  0.869546, Time  0.237718
2021-09-11 13:02:33.722181 : Epoch  5, Batch    709, Loss  0.873987, Average Loss  0.869499, Time  0.237617
2021-09-11 13:02:36.296296 : Epoch  5, Batch    710, Loss  0.854049, Average Loss  0.869434, Time  0.237957
2021-09-11 13:02:38.868384 : Epoch  5, Batch    711, Loss  0.869430, Average Loss  0.869321, Time  0.237386
2021-09-11 13:02:41.436947 : Epoch  5, Batch    712, Loss  0.879406, Average Loss  0.869399, Time  0.239114
2021-09-11 13:02:44.011669 : Epoch  5, Batch    713, Loss  0.879862, Average Loss  0.869434, Time  0.237287
2021-09-11 13:02:46.590644 : Epoch  5, Batch    714, Loss  0.872995, Average Loss  0.869520, Time  0.237657
2021-09-11 13:02:49.162811 : Epoch  5, Batch    715, Loss  0.869273, Average Loss  0.869614, Time  0.238251
2021-09-11 13:02:51.744378 : Epoch  5, Batch    716, Loss  0.866740, Average Loss  0.869736, Time  0.237233
2021-09-11 13:02:54.320271 : Epoch  5, Batch    717, Loss  0.857797, Average Loss  0.869807, Time  0.238258
2021-09-11 13:02:56.901859 : Epoch  5, Batch    718, Loss  0.860595, Average Loss  0.869765, Time  0.237538
2021-09-11 13:02:59.481686 : Epoch  5, Batch    719, Loss  0.887067, Average Loss  0.869887, Time  0.237408
2021-09-11 13:03:02.057324 : Epoch  5, Batch    720, Loss  0.874487, Average Loss  0.869835, Time  0.237782
2021-09-11 13:03:04.640221 : Epoch  5, Batch    721, Loss  0.854115, Average Loss  0.869850, Time  0.239338
2021-09-11 13:03:07.220145 : Epoch  5, Batch    722, Loss  0.871135, Average Loss  0.869918, Time  0.238628
2021-09-11 13:03:09.795716 : Epoch  5, Batch    723, Loss  0.862988, Average Loss  0.869875, Time  0.237619
2021-09-11 13:03:12.378111 : Epoch  5, Batch    724, Loss  0.872732, Average Loss  0.869930, Time  0.238542
2021-09-11 13:03:14.953504 : Epoch  5, Batch    725, Loss  0.879854, Average Loss  0.869915, Time  0.237363
2021-09-11 13:03:17.524684 : Epoch  5, Batch    726, Loss  0.866830, Average Loss  0.869794, Time  0.237593
2021-09-11 13:03:20.112377 : Epoch  5, Batch    727, Loss  0.859227, Average Loss  0.869622, Time  0.239772
2021-09-11 13:03:22.694410 : Epoch  5, Batch    728, Loss  0.857175, Average Loss  0.869543, Time  0.238556
2021-09-11 13:03:25.275148 : Epoch  5, Batch    729, Loss  0.880382, Average Loss  0.869701, Time  0.238283
2021-09-11 13:03:27.849691 : Epoch  5, Batch    730, Loss  0.862362, Average Loss  0.869739, Time  0.241202
2021-09-11 13:03:30.424842 : Epoch  5, Batch    731, Loss  0.853904, Average Loss  0.869585, Time  0.238308
2021-09-11 13:03:33.010176 : Epoch  5, Batch    732, Loss  0.878929, Average Loss  0.869561, Time  0.238648
2021-09-11 13:03:35.581954 : Epoch  5, Batch    733, Loss  0.870713, Average Loss  0.869718, Time  0.237425
2021-09-11 13:03:38.159832 : Epoch  5, Batch    734, Loss  0.872283, Average Loss  0.869816, Time  0.238131
2021-09-11 13:03:40.733615 : Epoch  5, Batch    735, Loss  0.863234, Average Loss  0.869843, Time  0.237742
2021-09-11 13:03:43.309078 : Epoch  5, Batch    736, Loss  0.860475, Average Loss  0.869776, Time  0.238138
2021-09-11 13:03:45.888595 : Epoch  5, Batch    737, Loss  0.880986, Average Loss  0.869768, Time  0.240581
2021-09-11 13:03:48.470028 : Epoch  5, Batch    738, Loss  0.879426, Average Loss  0.869854, Time  0.239263
2021-09-11 13:03:51.046222 : Epoch  5, Batch    739, Loss  0.861921, Average Loss  0.869739, Time  0.238832
2021-09-11 13:03:53.617923 : Epoch  5, Batch    740, Loss  0.864020, Average Loss  0.869722, Time  0.237236
2021-09-11 13:03:56.212815 : Epoch  5, Batch    741, Loss  0.904867, Average Loss  0.869854, Time  0.239578
2021-09-11 13:03:58.792253 : Epoch  5, Batch    742, Loss  0.891719, Average Loss  0.869890, Time  0.237791
2021-09-11 13:04:01.367369 : Epoch  5, Batch    743, Loss  0.868209, Average Loss  0.869940, Time  0.237154
2021-09-11 13:04:03.960011 : Epoch  5, Batch    744, Loss  0.868981, Average Loss  0.869952, Time  0.239120
2021-09-11 13:04:06.536922 : Epoch  5, Batch    745, Loss  0.845549, Average Loss  0.869698, Time  0.238435
2021-09-11 13:04:09.114193 : Epoch  5, Batch    746, Loss  0.871875, Average Loss  0.869708, Time  0.237346
2021-09-11 13:04:11.686624 : Epoch  5, Batch    747, Loss  0.864440, Average Loss  0.869839, Time  0.238231
2021-09-11 13:04:14.262105 : Epoch  5, Batch    748, Loss  0.879676, Average Loss  0.869880, Time  0.238263
2021-09-11 13:04:16.837225 : Epoch  5, Batch    749, Loss  0.858745, Average Loss  0.869855, Time  0.237675
2021-09-11 13:04:19.414917 : Epoch  5, Batch    750, Loss  0.858607, Average Loss  0.869779, Time  0.238064
2021-09-11 13:04:21.998111 : Epoch  5, Batch    751, Loss  0.871220, Average Loss  0.869766, Time  0.237845
2021-09-11 13:04:24.580940 : Epoch  5, Batch    752, Loss  0.854350, Average Loss  0.869659, Time  0.242595
2021-09-11 13:04:27.170963 : Epoch  5, Batch    753, Loss  0.861272, Average Loss  0.869733, Time  0.238932
2021-09-11 13:04:29.745613 : Epoch  5, Batch    754, Loss  0.881493, Average Loss  0.869868, Time  0.238211
2021-09-11 13:04:32.319004 : Epoch  5, Batch    755, Loss  0.869780, Average Loss  0.869909, Time  0.238007
2021-09-11 13:04:34.895059 : Epoch  5, Batch    756, Loss  0.884471, Average Loss  0.870020, Time  0.238091
2021-09-11 13:04:37.466143 : Epoch  5, Batch    757, Loss  0.859002, Average Loss  0.870009, Time  0.237736
2021-09-11 13:04:40.036566 : Epoch  5, Batch    758, Loss  0.878972, Average Loss  0.870025, Time  0.237588
2021-09-11 13:04:42.612055 : Epoch  5, Batch    759, Loss  0.868496, Average Loss  0.869993, Time  0.237762
2021-09-11 13:04:45.175299 : Epoch  5, Batch    760, Loss  0.858808, Average Loss  0.869986, Time  0.238542
2021-09-11 13:04:47.757713 : Epoch  5, Batch    761, Loss  0.869515, Average Loss  0.869952, Time  0.237691
2021-09-11 13:04:50.336353 : Epoch  5, Batch    762, Loss  0.844212, Average Loss  0.869806, Time  0.238294
2021-09-11 13:04:52.921006 : Epoch  5, Batch    763, Loss  0.860699, Average Loss  0.869719, Time  0.237567
2021-09-11 13:04:55.489378 : Epoch  5, Batch    764, Loss  0.871579, Average Loss  0.869712, Time  0.237353
2021-09-11 13:04:58.076074 : Epoch  5, Batch    765, Loss  0.883859, Average Loss  0.869815, Time  0.237704
2021-09-11 13:05:00.655577 : Epoch  5, Batch    766, Loss  0.877151, Average Loss  0.869825, Time  0.238229
2021-09-11 13:05:03.244352 : Epoch  5, Batch    767, Loss  0.854194, Average Loss  0.869799, Time  0.240400
2021-09-11 13:05:05.832397 : Epoch  5, Batch    768, Loss  0.855245, Average Loss  0.869602, Time  0.237809
2021-09-11 13:05:08.410049 : Epoch  5, Batch    769, Loss  0.859360, Average Loss  0.869502, Time  0.238384
2021-09-11 13:05:10.996196 : Epoch  5, Batch    770, Loss  0.847957, Average Loss  0.869543, Time  0.238256
2021-09-11 13:05:13.566229 : Epoch  5, Batch    771, Loss  0.862548, Average Loss  0.869453, Time  0.238395
2021-09-11 13:05:16.143866 : Epoch  5, Batch    772, Loss  0.855272, Average Loss  0.869481, Time  0.239068
2021-09-11 13:05:18.734579 : Epoch  5, Batch    773, Loss  0.862881, Average Loss  0.869451, Time  0.238434
2021-09-11 13:05:21.309002 : Epoch  5, Batch    774, Loss  0.854370, Average Loss  0.869390, Time  0.237664
2021-09-11 13:05:23.887955 : Epoch  5, Batch    775, Loss  0.865227, Average Loss  0.869482, Time  0.238024
2021-09-11 13:05:26.498369 : Epoch  5, Batch    776, Loss  0.885319, Average Loss  0.869620, Time  0.238100
2021-09-11 13:05:36.747717 : CheckPoint: Validation Loss  0.00061202, Best Loss  0.00057296
2021-09-11 13:05:38.364865 : Epoch  5, Batch   2157, Loss  0.866297, Average Loss  0.870733, Time  0.177701
2021-09-11 13:05:39.987758 : Epoch  5, Batch   2158, Loss  0.838066, Average Loss  0.870636, Time  0.170511
2021-09-11 13:05:41.608765 : Epoch  5, Batch   2159, Loss  0.854600, Average Loss  0.870550, Time  0.169867
2021-09-11 13:05:43.223995 : Epoch  5, Batch   2160, Loss  0.860682, Average Loss  0.870582, Time  0.169795
2021-09-11 13:05:44.841739 : Epoch  5, Batch   2161, Loss  0.865381, Average Loss  0.870601, Time  0.169984
2021-09-11 13:05:46.452745 : Epoch  5, Batch   2162, Loss  0.863824, Average Loss  0.870588, Time  0.170008
2021-09-11 13:05:48.050767 : Epoch  5, Batch   2163, Loss  0.876165, Average Loss  0.870618, Time  0.169705
2021-09-11 13:05:49.655771 : Epoch  5, Batch   2164, Loss  0.859350, Average Loss  0.870605, Time  0.169846
2021-09-11 13:05:51.259983 : Epoch  5, Batch   2165, Loss  0.865936, Average Loss  0.870637, Time  0.169544
2021-09-11 13:05:52.878997 : Epoch  5, Batch   2166, Loss  0.848441, Average Loss  0.870494, Time  0.169801
2021-09-11 13:05:54.509990 : Epoch  5, Batch   2167, Loss  0.884053, Average Loss  0.870511, Time  0.169789
2021-09-11 13:05:56.111834 : Epoch  5, Batch   2168, Loss  0.852142, Average Loss  0.870486, Time  0.169790
2021-09-11 13:05:57.724778 : Epoch  5, Batch   2169, Loss  0.877568, Average Loss  0.870403, Time  0.169559
2021-09-11 13:05:59.327983 : Epoch  5, Batch   2170, Loss  0.872051, Average Loss  0.870413, Time  0.169783
2021-09-11 13:06:00.939985 : Epoch  5, Batch   2171, Loss  0.851244, Average Loss  0.870285, Time  0.169656
2021-09-11 13:06:02.530316 : Epoch  5, Batch   2172, Loss  0.842093, Average Loss  0.870310, Time  0.169228
2021-09-11 13:06:04.120997 : Epoch  5, Batch   2173, Loss  0.865107, Average Loss  0.870196, Time  0.169483
2021-09-11 13:06:05.726770 : Epoch  5, Batch   2174, Loss  0.824567, Average Loss  0.869959, Time  0.169628
2021-09-11 13:06:07.332886 : Epoch  5, Batch   2175, Loss  0.889062, Average Loss  0.870043, Time  0.169636
2021-09-11 13:06:08.941771 : Epoch  5, Batch   2176, Loss  0.871295, Average Loss  0.870138, Time  0.169846
2021-09-11 13:06:10.552829 : Epoch  5, Batch   2177, Loss  0.865329, Average Loss  0.870085, Time  0.169902
2021-09-11 13:06:12.152761 : Epoch  5, Batch   2178, Loss  0.847403, Average Loss  0.870118, Time  0.169751
2021-09-11 13:06:13.759746 : Epoch  5, Batch   2179, Loss  0.872269, Average Loss  0.870292, Time  0.170896
2021-09-11 13:06:15.371797 : Epoch  5, Batch   2180, Loss  0.858172, Average Loss  0.870205, Time  0.172494
2021-09-11 13:06:16.967757 : Epoch  5, Batch   2181, Loss  0.852013, Average Loss  0.870295, Time  0.169667
2021-09-11 13:06:18.563805 : Epoch  5, Batch   2182, Loss  0.856277, Average Loss  0.870160, Time  0.174763
2021-09-11 13:06:20.146993 : Epoch  5, Batch   2183, Loss  0.862916, Average Loss  0.870205, Time  0.169884
2021-09-11 13:06:21.744995 : Epoch  5, Batch   2184, Loss  0.865390, Average Loss  0.870300, Time  0.169558
2021-09-11 13:06:23.355893 : Epoch  5, Batch   2185, Loss  0.834646, Average Loss  0.870163, Time  0.171838
2021-09-11 13:06:24.961744 : Epoch  5, Batch   2186, Loss  0.900749, Average Loss  0.870174, Time  0.169654
2021-09-11 13:06:26.572754 : Epoch  5, Batch   2187, Loss  0.854893, Average Loss  0.870077, Time  0.170061
2021-09-11 13:06:28.187775 : Epoch  5, Batch   2188, Loss  0.874964, Average Loss  0.870141, Time  0.172668
2021-09-11 13:06:29.805999 : Epoch  5, Batch   2189, Loss  0.854632, Average Loss  0.870069, Time  0.169630
2021-09-11 13:06:31.416862 : Epoch  5, Batch   2190, Loss  0.873274, Average Loss  0.869899, Time  0.169658
2021-09-11 13:06:33.039745 : Epoch  5, Batch   2191, Loss  0.878678, Average Loss  0.870011, Time  0.169671
2021-09-11 13:06:34.650822 : Epoch  5, Batch   2192, Loss  0.873229, Average Loss  0.869936, Time  0.170075
2021-09-11 13:06:36.265861 : Epoch  5, Batch   2193, Loss  0.875726, Average Loss  0.869841, Time  0.169795
2021-09-11 13:06:37.915996 : Epoch  5, Batch   2194, Loss  0.871304, Average Loss  0.869794, Time  0.169777
2021-09-11 13:06:39.529016 : Epoch  5, Batch   2195, Loss  0.866496, Average Loss  0.869626, Time  0.169929
2021-09-11 13:06:41.138995 : Epoch  5, Batch   2196, Loss  0.872393, Average Loss  0.869690, Time  0.169721
2021-09-11 13:06:42.747824 : Epoch  5, Batch   2197, Loss  0.844071, Average Loss  0.869582, Time  0.169583
2021-09-11 13:06:44.350985 : Epoch  5, Batch   2198, Loss  0.872638, Average Loss  0.869548, Time  0.169542
2021-09-11 13:06:45.965742 : Epoch  5, Batch   2199, Loss  0.884365, Average Loss  0.869521, Time  0.169693
2021-09-11 13:06:47.563730 : Epoch  5, Batch   2200, Loss  0.852746, Average Loss  0.869509, Time  0.169693
2021-09-11 13:06:49.191742 : Epoch  5, Batch   2201, Loss  0.894053, Average Loss  0.869623, Time  0.169940
2021-09-11 13:06:50.796852 : Epoch  5, Batch   2202, Loss  0.884001, Average Loss  0.869655, Time  0.169983
2021-09-11 13:06:52.407744 : Epoch  5, Batch   2203, Loss  0.825002, Average Loss  0.869462, Time  0.169847
2021-09-11 13:06:54.019821 : Epoch  5, Batch   2204, Loss  0.863029, Average Loss  0.869587, Time  0.169654
2021-09-11 13:06:55.618776 : Epoch  5, Batch   2205, Loss  0.861882, Average Loss  0.869573, Time  0.169587
2021-09-11 13:06:57.242805 : Epoch  5, Batch   2206, Loss  0.879976, Average Loss  0.869580, Time  0.169991
2021-09-11 13:06:58.855743 : Epoch  5, Batch   2207, Loss  0.828589, Average Loss  0.869326, Time  0.169400
2021-09-11 13:07:00.444987 : Epoch  5, Batch   2208, Loss  0.849327, Average Loss  0.869038, Time  0.169927
2021-09-11 13:07:02.062979 : Epoch  5, Batch   2209, Loss  0.868697, Average Loss  0.869056, Time  0.171884
2021-09-11 13:07:03.679737 : Epoch  5, Batch   2210, Loss  0.847196, Average Loss  0.868989, Time  0.169657
2021-09-11 13:07:05.286758 : Epoch  5, Batch   2211, Loss  0.883573, Average Loss  0.869092, Time  0.169711
2021-09-11 13:07:06.899977 : Epoch  5, Batch   2212, Loss  0.883682, Average Loss  0.869036, Time  0.169256
2021-09-11 13:07:08.521000 : Epoch  5, Batch   2213, Loss  0.863431, Average Loss  0.869075, Time  0.169775
2021-09-11 13:07:10.126747 : Epoch  5, Batch   2214, Loss  0.871823, Average Loss  0.869056, Time  0.171901
2021-09-11 13:07:11.741818 : Epoch  5, Batch   2215, Loss  0.841669, Average Loss  0.868874, Time  0.169605
2021-09-11 13:07:13.352921 : Epoch  5, Batch   2216, Loss  0.863415, Average Loss  0.868770, Time  0.169489
2021-09-11 13:07:14.959826 : Epoch  5, Batch   2217, Loss  0.854041, Average Loss  0.868660, Time  0.169653
2021-09-11 13:07:16.577797 : Epoch  5, Batch   2218, Loss  0.863348, Average Loss  0.868603, Time  0.169618
2021-09-11 13:07:18.184985 : Epoch  5, Batch   2219, Loss  0.863034, Average Loss  0.868411, Time  0.169610
2021-09-11 13:07:19.812986 : Epoch  5, Batch   2220, Loss  0.871519, Average Loss  0.868243, Time  0.170007
2021-09-11 13:07:21.433983 : Epoch  5, Batch   2221, Loss  0.855960, Average Loss  0.868202, Time  0.169637
2021-09-11 13:07:23.044087 : Epoch  5, Batch   2222, Loss  0.868748, Average Loss  0.868114, Time  0.172307
2021-09-11 13:07:24.638035 : Epoch  5, Batch   2223, Loss  0.901980, Average Loss  0.868175, Time  0.176116
2021-09-11 13:07:26.234771 : Epoch  5, Batch   2224, Loss  0.867629, Average Loss  0.868052, Time  0.169733
2021-09-11 13:07:27.835738 : Epoch  5, Batch   2225, Loss  0.877541, Average Loss  0.868038, Time  0.170910
2021-09-11 13:07:29.452043 : Epoch  5, Batch   2226, Loss  0.848826, Average Loss  0.867925, Time  0.175950
2021-09-11 13:07:31.056727 : Epoch  5, Batch   2227, Loss  0.858668, Average Loss  0.867813, Time  0.173237
2021-09-11 13:07:32.668029 : Epoch  5, Batch   2228, Loss  0.848860, Average Loss  0.867611, Time  0.170416
2021-09-11 13:07:34.276798 : Epoch  5, Batch   2229, Loss  0.895508, Average Loss  0.867682, Time  0.169772
2021-09-11 13:07:35.881753 : Epoch  5, Batch   2230, Loss  0.829334, Average Loss  0.867536, Time  0.171356
2021-09-11 13:07:37.472802 : Epoch  5, Batch   2231, Loss  0.879093, Average Loss  0.867493, Time  0.169674
2021-09-11 13:07:39.128980 : Epoch  5, Batch   2232, Loss  0.883052, Average Loss  0.867560, Time  0.169581
2021-09-11 13:07:40.737002 : Epoch  5, Batch   2233, Loss  0.882899, Average Loss  0.867691, Time  0.169585
2021-09-11 13:07:42.354985 : Epoch  5, Batch   2234, Loss  0.891033, Average Loss  0.867741, Time  0.169875
2021-09-11 13:07:43.969792 : Epoch  5, Batch   2235, Loss  0.855224, Average Loss  0.867650, Time  0.170190
2021-09-11 13:07:45.593011 : Epoch  5, Batch   2236, Loss  0.861125, Average Loss  0.867491, Time  0.169846
2021-09-11 13:07:47.205001 : Epoch  5, Batch   2237, Loss  0.889129, Average Loss  0.867666, Time  0.169881
2021-09-11 13:07:48.834029 : Epoch  5, Batch   2238, Loss  0.907969, Average Loss  0.867822, Time  0.170125
2021-09-11 13:07:50.423031 : Epoch  5, Batch   2239, Loss  0.870923, Average Loss  0.867804, Time  0.171413
2021-09-11 13:07:52.029835 : Epoch  5, Batch   2240, Loss  0.851301, Average Loss  0.867583, Time  0.170150
2021-09-11 13:07:53.626889 : Epoch  5, Batch   2241, Loss  0.893145, Average Loss  0.867748, Time  0.170094
2021-09-11 13:07:55.225792 : Epoch  5, Batch   2242, Loss  0.869480, Average Loss  0.867792, Time  0.178798
2021-09-11 13:07:56.831015 : Epoch  5, Batch   2243, Loss  0.897608, Average Loss  0.868084, Time  0.170465
2021-09-11 13:07:58.449745 : Epoch  5, Batch   2244, Loss  0.879878, Average Loss  0.868229, Time  0.170213
2021-09-11 13:08:00.071851 : Epoch  5, Batch   2245, Loss  0.847215, Average Loss  0.868031, Time  0.172846
2021-09-11 13:08:01.676945 : Epoch  5, Batch   2246, Loss  0.879823, Average Loss  0.868026, Time  0.173069
2021-09-11 13:08:03.282029 : Epoch  5, Batch   2247, Loss  0.886433, Average Loss  0.868085, Time  0.170341
2021-09-11 13:08:04.904015 : Epoch  5, Batch   2248, Loss  0.896080, Average Loss  0.868384, Time  0.171638
2021-09-11 13:08:06.514014 : Epoch  5, Batch   2249, Loss  0.869393, Average Loss  0.868455, Time  0.171003
2021-09-11 13:08:08.112793 : Epoch  5, Batch   2250, Loss  0.873643, Average Loss  0.868545, Time  0.169882
2021-09-11 13:08:09.725021 : Epoch  5, Batch   2251, Loss  0.864059, Average Loss  0.868668, Time  0.178101
2021-09-11 13:08:11.331868 : Epoch  5, Batch   2252, Loss  0.858402, Average Loss  0.868576, Time  0.179575
2021-09-11 13:08:12.958777 : Epoch  5, Batch   2253, Loss  0.869510, Average Loss  0.868563, Time  0.169758
2021-09-11 13:08:14.565755 : Epoch  5, Batch   2254, Loss  0.867823, Average Loss  0.868577, Time  0.171186
2021-09-11 13:08:16.173020 : Epoch  5, Batch   2255, Loss  0.851496, Average Loss  0.868425, Time  0.170882
2021-09-11 13:08:17.791801 : Epoch  5, Batch   2256, Loss  0.850785, Average Loss  0.868370, Time  0.178410
2021-09-11 13:09:28.630731 : CheckPoint: Validation Loss  0.00030353, Best Loss  0.00029019
2021-09-11 13:09:31.225125 : Epoch  5, Batch    777, Loss  0.883041, Average Loss  0.869641, Time  0.241681
2021-09-11 13:09:33.815839 : Epoch  5, Batch    778, Loss  0.875526, Average Loss  0.869681, Time  0.241585
2021-09-11 13:09:36.397301 : Epoch  5, Batch    779, Loss  0.869677, Average Loss  0.869693, Time  0.237010
2021-09-11 13:09:38.983107 : Epoch  5, Batch    780, Loss  0.877093, Average Loss  0.869744, Time  0.237532
2021-09-11 13:09:41.567829 : Epoch  5, Batch    781, Loss  0.866139, Average Loss  0.869648, Time  0.238552
2021-09-11 13:09:44.170387 : Epoch  5, Batch    782, Loss  0.855278, Average Loss  0.869565, Time  0.238221
2021-09-11 13:09:46.744721 : Epoch  5, Batch    783, Loss  0.879390, Average Loss  0.869579, Time  0.237386
2021-09-11 13:09:49.324680 : Epoch  5, Batch    784, Loss  0.864005, Average Loss  0.869554, Time  0.240660
2021-09-11 13:09:51.905388 : Epoch  5, Batch    785, Loss  0.859445, Average Loss  0.869369, Time  0.237725
2021-09-11 13:09:54.478672 : Epoch  5, Batch    786, Loss  0.875671, Average Loss  0.869401, Time  0.237605
2021-09-11 13:09:57.062375 : Epoch  5, Batch    787, Loss  0.870876, Average Loss  0.869456, Time  0.240202
2021-09-11 13:09:59.646680 : Epoch  5, Batch    788, Loss  0.868016, Average Loss  0.869454, Time  0.238299
2021-09-11 13:10:02.235097 : Epoch  5, Batch    789, Loss  0.848508, Average Loss  0.869426, Time  0.238648
2021-09-11 13:10:04.820739 : Epoch  5, Batch    790, Loss  0.873650, Average Loss  0.869496, Time  0.238394
2021-09-11 13:10:07.401807 : Epoch  5, Batch    791, Loss  0.865277, Average Loss  0.869470, Time  0.240432
2021-09-11 13:10:09.979696 : Epoch  5, Batch    792, Loss  0.859707, Average Loss  0.869364, Time  0.237746
2021-09-11 13:10:12.557857 : Epoch  5, Batch    793, Loss  0.859939, Average Loss  0.869305, Time  0.238204
2021-09-11 13:10:15.135042 : Epoch  5, Batch    794, Loss  0.870677, Average Loss  0.869424, Time  0.238633
2021-09-11 13:10:17.714423 : Epoch  5, Batch    795, Loss  0.884708, Average Loss  0.869601, Time  0.237383
2021-09-11 13:10:20.330220 : Epoch  5, Batch    796, Loss  0.873000, Average Loss  0.869564, Time  0.237885
2021-09-11 13:10:22.908989 : Epoch  5, Batch    797, Loss  0.891719, Average Loss  0.869685, Time  0.237437
2021-09-11 13:10:25.492420 : Epoch  5, Batch    798, Loss  0.867525, Average Loss  0.869640, Time  0.237854
2021-09-11 13:10:28.076853 : Epoch  5, Batch    799, Loss  0.863407, Average Loss  0.869595, Time  0.238349
2021-09-11 13:10:30.691386 : Epoch  5, Batch    800, Loss  0.858446, Average Loss  0.869557, Time  0.238876
2021-09-11 13:10:33.285952 : Epoch  5, Batch    801, Loss  0.869596, Average Loss  0.869650, Time  0.241107
2021-09-11 13:10:35.892041 : Epoch  5, Batch    802, Loss  0.863480, Average Loss  0.869586, Time  0.240649
2021-09-11 13:10:38.501268 : Epoch  5, Batch    803, Loss  0.885512, Average Loss  0.869702, Time  0.237425
2021-09-11 13:10:41.103201 : Epoch  5, Batch    804, Loss  0.882881, Average Loss  0.869841, Time  0.237391
2021-09-11 13:10:43.732205 : Epoch  5, Batch    805, Loss  0.872354, Average Loss  0.869718, Time  0.237493
2021-09-11 13:10:46.310391 : Epoch  5, Batch    806, Loss  0.879917, Average Loss  0.869676, Time  0.238505
2021-09-11 13:10:48.885488 : Epoch  5, Batch    807, Loss  0.856392, Average Loss  0.869666, Time  0.238490
2021-09-11 13:10:51.462141 : Epoch  5, Batch    808, Loss  0.862826, Average Loss  0.869587, Time  0.237469
2021-09-11 13:10:54.047280 : Epoch  5, Batch    809, Loss  0.853813, Average Loss  0.869492, Time  0.237521
2021-09-11 13:10:56.645181 : Epoch  5, Batch    810, Loss  0.881763, Average Loss  0.869657, Time  0.239450
2021-09-11 13:10:59.254183 : Epoch  5, Batch    811, Loss  0.872921, Average Loss  0.869574, Time  0.242440
2021-09-11 13:11:01.851589 : Epoch  5, Batch    812, Loss  0.860053, Average Loss  0.869380, Time  0.237605
2021-09-11 13:11:04.431275 : Epoch  5, Batch    813, Loss  0.869852, Average Loss  0.869485, Time  0.237376
2021-09-11 13:11:07.010783 : Epoch  5, Batch    814, Loss  0.881688, Average Loss  0.869549, Time  0.238285
2021-09-11 13:11:09.610101 : Epoch  5, Batch    815, Loss  0.870672, Average Loss  0.869543, Time  0.238786
2021-09-11 13:11:12.205315 : Epoch  5, Batch    816, Loss  0.842458, Average Loss  0.869360, Time  0.237380
2021-09-11 13:11:14.805261 : Epoch  5, Batch    817, Loss  0.871493, Average Loss  0.869375, Time  0.238250
2021-09-11 13:11:17.406118 : Epoch  5, Batch    818, Loss  0.856513, Average Loss  0.869205, Time  0.238857
2021-09-11 13:11:20.009490 : Epoch  5, Batch    819, Loss  0.885296, Average Loss  0.869244, Time  0.237289
2021-09-11 13:11:22.587115 : Epoch  5, Batch    820, Loss  0.874821, Average Loss  0.869335, Time  0.237931
2021-09-11 13:11:25.187650 : Epoch  5, Batch    821, Loss  0.871430, Average Loss  0.869357, Time  0.240735
2021-09-11 13:11:27.787120 : Epoch  5, Batch    822, Loss  0.896662, Average Loss  0.869452, Time  0.237889
2021-09-11 13:11:30.364104 : Epoch  5, Batch    823, Loss  0.872985, Average Loss  0.869417, Time  0.238662
2021-09-11 13:11:33.004686 : Epoch  5, Batch    824, Loss  0.876743, Average Loss  0.869341, Time  0.237383
2021-09-11 13:11:35.585959 : Epoch  5, Batch    825, Loss  0.871899, Average Loss  0.869296, Time  0.237920
2021-09-11 13:11:38.165855 : Epoch  5, Batch    826, Loss  0.878224, Average Loss  0.869304, Time  0.237900
2021-09-11 13:11:40.753106 : Epoch  5, Batch    827, Loss  0.872987, Average Loss  0.869354, Time  0.237289
2021-09-11 13:11:43.356513 : Epoch  5, Batch    828, Loss  0.871641, Average Loss  0.869289, Time  0.237802
2021-09-11 13:11:45.966379 : Epoch  5, Batch    829, Loss  0.875278, Average Loss  0.869372, Time  0.237626
2021-09-11 13:11:48.574403 : Epoch  5, Batch    830, Loss  0.874870, Average Loss  0.869404, Time  0.239300
2021-09-11 13:11:51.185230 : Epoch  5, Batch    831, Loss  0.873317, Average Loss  0.869387, Time  0.249318
2021-09-11 13:11:53.784901 : Epoch  5, Batch    832, Loss  0.905581, Average Loss  0.869559, Time  0.238783
2021-09-11 13:11:56.361119 : Epoch  5, Batch    833, Loss  0.866999, Average Loss  0.869662, Time  0.238188
2021-09-11 13:11:58.956648 : Epoch  5, Batch    834, Loss  0.857255, Average Loss  0.869583, Time  0.237161
2021-09-11 13:12:01.543932 : Epoch  5, Batch    835, Loss  0.871747, Average Loss  0.869633, Time  0.237375
2021-09-11 13:12:04.155041 : Epoch  5, Batch    836, Loss  0.863191, Average Loss  0.869689, Time  0.239882
2021-09-11 13:12:06.757863 : Epoch  5, Batch    837, Loss  0.862048, Average Loss  0.869689, Time  0.240496
2021-09-11 13:12:09.368139 : Epoch  5, Batch    838, Loss  0.882425, Average Loss  0.869712, Time  0.239017
2021-09-11 13:12:12.008380 : Epoch  5, Batch    839, Loss  0.891247, Average Loss  0.869821, Time  0.238036
2021-09-11 13:12:14.613675 : Epoch  5, Batch    840, Loss  0.848234, Average Loss  0.869742, Time  0.237046
2021-09-11 13:12:17.206820 : Epoch  5, Batch    841, Loss  0.883276, Average Loss  0.869745, Time  0.237767
2021-09-11 13:12:19.800155 : Epoch  5, Batch    842, Loss  0.867502, Average Loss  0.869820, Time  0.238058
2021-09-11 13:12:22.381192 : Epoch  5, Batch    843, Loss  0.856654, Average Loss  0.869712, Time  0.237737
2021-09-11 13:12:24.956646 : Epoch  5, Batch    844, Loss  0.856957, Average Loss  0.869771, Time  0.238520
2021-09-11 13:12:27.526093 : Epoch  5, Batch    845, Loss  0.881654, Average Loss  0.869904, Time  0.238239
2021-09-11 13:12:30.099311 : Epoch  5, Batch    846, Loss  0.867228, Average Loss  0.869888, Time  0.237264
2021-09-11 13:12:32.684051 : Epoch  5, Batch    847, Loss  0.851686, Average Loss  0.869712, Time  0.240783
2021-09-11 13:12:35.271214 : Epoch  5, Batch    848, Loss  0.877330, Average Loss  0.869682, Time  0.238334
2021-09-11 13:12:37.855781 : Epoch  5, Batch    849, Loss  0.858335, Average Loss  0.869656, Time  0.238346
2021-09-11 13:12:40.441389 : Epoch  5, Batch    850, Loss  0.872046, Average Loss  0.869628, Time  0.238976
2021-09-11 13:12:43.013048 : Epoch  5, Batch    851, Loss  0.868877, Average Loss  0.869610, Time  0.237410
2021-09-11 13:12:45.591706 : Epoch  5, Batch    852, Loss  0.866948, Average Loss  0.869552, Time  0.237255
2021-09-11 13:12:48.174921 : Epoch  5, Batch    853, Loss  0.864325, Average Loss  0.869546, Time  0.237315
2021-09-11 13:12:50.749279 : Epoch  5, Batch    854, Loss  0.867608, Average Loss  0.869480, Time  0.237601
2021-09-11 13:12:53.337936 : Epoch  5, Batch    855, Loss  0.867622, Average Loss  0.869432, Time  0.239867
2021-09-11 13:12:55.934383 : Epoch  5, Batch    856, Loss  0.868000, Average Loss  0.869370, Time  0.237895
2021-09-11 13:12:58.507278 : Epoch  5, Batch    857, Loss  0.880356, Average Loss  0.869436, Time  0.238559
2021-09-11 13:12:58.949731 : CheckPoint: Validation Loss  0.00059973, Best Loss  0.00057296
2021-09-11 13:13:00.608902 : Epoch  5, Batch   2257, Loss  0.879872, Average Loss  0.868408, Time  0.178200
2021-09-11 13:13:01.078076 : Epoch  5, Batch    858, Loss  0.851038, Average Loss  0.869410, Time  0.238928
2021-09-11 13:13:02.194818 : Epoch  5, Batch   2258, Loss  0.874275, Average Loss  0.868483, Time  0.173165
2021-09-11 13:13:03.647584 : Epoch  5, Batch    859, Loss  0.869643, Average Loss  0.869399, Time  0.237368
2021-09-11 13:13:03.783991 : Epoch  5, Batch   2259, Loss  0.866813, Average Loss  0.868501, Time  0.170641
2021-09-11 13:13:05.365007 : Epoch  5, Batch   2260, Loss  0.876552, Average Loss  0.868399, Time  0.174878
2021-09-11 13:13:06.222949 : Epoch  5, Batch    860, Loss  0.866813, Average Loss  0.869352, Time  0.238450
2021-09-11 13:13:06.954829 : Epoch  5, Batch   2261, Loss  0.856990, Average Loss  0.868396, Time  0.169645
2021-09-11 13:13:08.537028 : Epoch  5, Batch   2262, Loss  0.869423, Average Loss  0.868533, Time  0.170247
2021-09-11 13:13:08.816664 : Epoch  5, Batch    861, Loss  0.866652, Average Loss  0.869393, Time  0.237364
2021-09-11 13:13:10.144026 : Epoch  5, Batch   2263, Loss  0.879051, Average Loss  0.868676, Time  0.172050
2021-09-11 13:13:11.393353 : Epoch  5, Batch    862, Loss  0.873859, Average Loss  0.869394, Time  0.240551
2021-09-11 13:13:11.757029 : Epoch  5, Batch   2264, Loss  0.866439, Average Loss  0.868630, Time  0.172969
2021-09-11 13:13:13.355027 : Epoch  5, Batch   2265, Loss  0.877656, Average Loss  0.868671, Time  0.170483
2021-09-11 13:13:13.975612 : Epoch  5, Batch    863, Loss  0.862640, Average Loss  0.869328, Time  0.239213
2021-09-11 13:13:14.954036 : Epoch  5, Batch   2266, Loss  0.843503, Average Loss  0.868315, Time  0.172786
2021-09-11 13:13:16.542776 : Epoch  5, Batch   2267, Loss  0.834013, Average Loss  0.868050, Time  0.169944
2021-09-11 13:13:16.553871 : Epoch  5, Batch    864, Loss  0.870602, Average Loss  0.869229, Time  0.238631
2021-09-11 13:13:18.135703 : Epoch  5, Batch   2268, Loss  0.851151, Average Loss  0.867899, Time  0.173181
2021-09-11 13:13:19.143579 : Epoch  5, Batch    865, Loss  0.881657, Average Loss  0.869215, Time  0.240590
2021-09-11 13:13:19.703768 : Epoch  5, Batch   2269, Loss  0.885480, Average Loss  0.868035, Time  0.173244
2021-09-11 13:13:21.315040 : Epoch  5, Batch   2270, Loss  0.888451, Average Loss  0.868179, Time  0.170247
2021-09-11 13:13:21.727274 : Epoch  5, Batch    866, Loss  0.860983, Average Loss  0.869161, Time  0.237762
2021-09-11 13:13:22.901038 : Epoch  5, Batch   2271, Loss  0.848011, Average Loss  0.867963, Time  0.170154
2021-09-11 13:13:24.306597 : Epoch  5, Batch    867, Loss  0.879439, Average Loss  0.869268, Time  0.237352
2021-09-11 13:13:24.494042 : Epoch  5, Batch   2272, Loss  0.857237, Average Loss  0.867896, Time  0.173038
2021-09-11 13:13:26.076071 : Epoch  5, Batch   2273, Loss  0.889748, Average Loss  0.867885, Time  0.170517
2021-09-11 13:13:26.887641 : Epoch  5, Batch    868, Loss  0.893453, Average Loss  0.869382, Time  0.237324
2021-09-11 13:13:27.680047 : Epoch  5, Batch   2274, Loss  0.915476, Average Loss  0.868094, Time  0.179193
2021-09-11 13:13:29.267026 : Epoch  5, Batch   2275, Loss  0.864165, Average Loss  0.868029, Time  0.170415
2021-09-11 13:13:29.460119 : Epoch  5, Batch    869, Loss  0.867200, Average Loss  0.869446, Time  0.237359
2021-09-11 13:13:30.854037 : Epoch  5, Batch   2276, Loss  0.865039, Average Loss  0.867931, Time  0.170360
2021-09-11 13:13:32.032870 : Epoch  5, Batch    870, Loss  0.846932, Average Loss  0.869307, Time  0.241023
2021-09-11 13:13:32.449041 : Epoch  5, Batch   2277, Loss  0.864580, Average Loss  0.868004, Time  0.171792
2021-09-11 13:13:34.025055 : Epoch  5, Batch   2278, Loss  0.870821, Average Loss  0.868127, Time  0.170661
2021-09-11 13:13:34.617831 : Epoch  5, Batch    871, Loss  0.890169, Average Loss  0.869300, Time  0.237523
2021-09-11 13:13:35.617795 : Epoch  5, Batch   2279, Loss  0.892326, Average Loss  0.868193, Time  0.174534
2021-09-11 13:13:37.194029 : Epoch  5, Batch   2280, Loss  0.864008, Average Loss  0.868020, Time  0.170368
2021-09-11 13:13:37.193426 : Epoch  5, Batch    872, Loss  0.848984, Average Loss  0.869209, Time  0.240234
2021-09-11 13:13:38.788032 : Epoch  5, Batch   2281, Loss  0.875107, Average Loss  0.867998, Time  0.169919
2021-09-11 13:13:39.807904 : Epoch  5, Batch    873, Loss  0.861795, Average Loss  0.869208, Time  0.240590
2021-09-11 13:13:40.378030 : Epoch  5, Batch   2282, Loss  0.880932, Average Loss  0.868253, Time  0.173944
2021-09-11 13:13:41.984753 : Epoch  5, Batch   2283, Loss  0.874080, Average Loss  0.868261, Time  0.173143
2021-09-11 13:13:42.393429 : Epoch  5, Batch    874, Loss  0.891115, Average Loss  0.869271, Time  0.237465
2021-09-11 13:13:43.579041 : Epoch  5, Batch   2284, Loss  0.864007, Average Loss  0.868164, Time  0.169893
2021-09-11 13:13:44.974862 : Epoch  5, Batch    875, Loss  0.873679, Average Loss  0.869347, Time  0.238491
2021-09-11 13:13:45.161746 : Epoch  5, Batch   2285, Loss  0.871485, Average Loss  0.868070, Time  0.172991
2021-09-11 13:13:46.741817 : Epoch  5, Batch   2286, Loss  0.846643, Average Loss  0.867970, Time  0.169959
2021-09-11 13:13:47.551205 : Epoch  5, Batch    876, Loss  0.890563, Average Loss  0.869453, Time  0.237496
2021-09-11 13:13:48.311033 : Epoch  5, Batch   2287, Loss  0.846908, Average Loss  0.867859, Time  0.170578
2021-09-11 13:13:49.900818 : Epoch  5, Batch   2288, Loss  0.867309, Average Loss  0.867851, Time  0.171966
2021-09-11 13:13:51.492766 : Epoch  5, Batch   2289, Loss  0.864624, Average Loss  0.867901, Time  0.174329
2021-09-11 13:13:53.111740 : Epoch  5, Batch   2290, Loss  0.853042, Average Loss  0.867822, Time  0.172045
2021-09-11 13:13:54.714738 : Epoch  5, Batch   2291, Loss  0.886871, Average Loss  0.867945, Time  0.186682
2021-09-11 13:13:56.300818 : Epoch  5, Batch   2292, Loss  0.862087, Average Loss  0.867961, Time  0.177136
2021-09-11 13:13:57.898813 : Epoch  5, Batch   2293, Loss  0.874176, Average Loss  0.868103, Time  0.171191
2021-09-11 13:13:59.499883 : Epoch  5, Batch   2294, Loss  0.883449, Average Loss  0.868166, Time  0.169746
2021-09-11 13:14:01.080905 : Epoch  5, Batch   2295, Loss  0.861008, Average Loss  0.868198, Time  0.169803
2021-09-11 13:14:02.665038 : Epoch  5, Batch   2296, Loss  0.853439, Average Loss  0.868213, Time  0.176930
2021-09-11 13:14:04.245690 : Epoch  5, Batch   2297, Loss  0.860001, Average Loss  0.868294, Time  0.170239
2021-09-11 13:14:05.819525 : Epoch  5, Batch   2298, Loss  0.880304, Average Loss  0.868321, Time  0.169991
2021-09-11 13:14:07.394033 : Epoch  5, Batch   2299, Loss  0.844891, Average Loss  0.868236, Time  0.169745
2021-09-11 13:14:08.986760 : Epoch  5, Batch   2300, Loss  0.863779, Average Loss  0.868198, Time  0.170847
2021-09-11 13:14:10.568074 : Epoch  5, Batch   2301, Loss  0.860630, Average Loss  0.868079, Time  0.169996
2021-09-11 13:14:12.158027 : Epoch  5, Batch   2302, Loss  0.862325, Average Loss  0.867892, Time  0.171912
2021-09-11 13:14:13.755771 : Epoch  5, Batch   2303, Loss  0.851718, Average Loss  0.867838, Time  0.171745
2021-09-11 13:14:15.351780 : Epoch  5, Batch   2304, Loss  0.865288, Average Loss  0.867892, Time  0.172583
2021-09-11 13:14:16.945024 : Epoch  5, Batch   2305, Loss  0.892854, Average Loss  0.867932, Time  0.169759
2021-09-11 13:14:18.546616 : Epoch  5, Batch   2306, Loss  0.871268, Average Loss  0.867926, Time  0.170085
2021-09-11 13:14:20.115803 : Epoch  5, Batch   2307, Loss  0.844710, Average Loss  0.868034, Time  0.170664
2021-09-11 13:14:21.690801 : Epoch  5, Batch   2308, Loss  0.860266, Average Loss  0.868021, Time  0.170282
2021-09-11 13:14:23.283795 : Epoch  5, Batch   2309, Loss  0.854601, Average Loss  0.867784, Time  0.170125
2021-09-11 13:14:24.869738 : Epoch  5, Batch   2310, Loss  0.859233, Average Loss  0.867698, Time  0.170870
2021-09-11 13:14:26.476028 : Epoch  5, Batch   2311, Loss  0.863157, Average Loss  0.867547, Time  0.173814
2021-09-11 13:14:28.072043 : Epoch  5, Batch   2312, Loss  0.843752, Average Loss  0.867389, Time  0.171454
2021-09-11 13:14:29.666904 : Epoch  5, Batch   2313, Loss  0.874534, Average Loss  0.867397, Time  0.172812
2021-09-11 13:14:31.256746 : Epoch  5, Batch   2314, Loss  0.869113, Average Loss  0.867395, Time  0.170304
2021-09-11 13:14:32.838155 : Epoch  5, Batch   2315, Loss  0.876430, Average Loss  0.867327, Time  0.170339
2021-09-11 13:14:34.475039 : Epoch  5, Batch   2316, Loss  0.872092, Average Loss  0.867440, Time  0.169729
2021-09-11 13:14:36.080860 : Epoch  5, Batch   2317, Loss  0.851425, Average Loss  0.867354, Time  0.174206
2021-09-11 13:14:37.676792 : Epoch  5, Batch   2318, Loss  0.890924, Average Loss  0.867472, Time  0.179742
2021-09-11 13:14:39.254941 : Epoch  5, Batch   2319, Loss  0.859034, Average Loss  0.867517, Time  0.169715
2021-09-11 13:14:40.840750 : Epoch  5, Batch   2320, Loss  0.860822, Average Loss  0.867516, Time  0.171679
2021-09-11 13:14:42.437015 : Epoch  5, Batch   2321, Loss  0.855824, Average Loss  0.867618, Time  0.173239
2021-09-11 13:14:44.044742 : Epoch  5, Batch   2322, Loss  0.864137, Average Loss  0.867455, Time  0.169816
2021-09-11 13:14:45.628028 : Epoch  5, Batch   2323, Loss  0.861626, Average Loss  0.867425, Time  0.170133
2021-09-11 13:14:47.230026 : Epoch  5, Batch   2324, Loss  0.862504, Average Loss  0.867360, Time  0.172175
2021-09-11 13:14:48.835819 : Epoch  5, Batch   2325, Loss  0.858643, Average Loss  0.867222, Time  0.176715
2021-09-11 13:14:50.429745 : Epoch  5, Batch   2326, Loss  0.844414, Average Loss  0.867065, Time  0.171004
2021-09-11 13:14:52.005029 : Epoch  5, Batch   2327, Loss  0.861163, Average Loss  0.866989, Time  0.169840
2021-09-11 13:14:53.582817 : Epoch  5, Batch   2328, Loss  0.867337, Average Loss  0.867000, Time  0.177015
2021-09-11 13:14:55.160541 : Epoch  5, Batch   2329, Loss  0.888457, Average Loss  0.867147, Time  0.175879
2021-09-11 13:14:56.734171 : Epoch  5, Batch   2330, Loss  0.874859, Average Loss  0.867103, Time  0.170161
2021-09-11 13:14:58.326733 : Epoch  5, Batch   2331, Loss  0.874770, Average Loss  0.867127, Time  0.177834
2021-09-11 13:14:59.959030 : Epoch  5, Batch   2332, Loss  0.863943, Average Loss  0.866989, Time  0.175641
2021-09-11 13:15:01.571026 : Epoch  5, Batch   2333, Loss  0.861398, Average Loss  0.866949, Time  0.171972
2021-09-11 13:15:03.169839 : Epoch  5, Batch   2334, Loss  0.834289, Average Loss  0.866708, Time  0.171524
2021-09-11 13:15:04.793746 : Epoch  5, Batch   2335, Loss  0.873983, Average Loss  0.866560, Time  0.171112
2021-09-11 13:15:06.403911 : Epoch  5, Batch   2336, Loss  0.858880, Average Loss  0.866517, Time  0.174174
2021-09-11 13:15:08.012055 : Epoch  5, Batch   2337, Loss  0.868217, Average Loss  0.866439, Time  0.174408
2021-09-11 13:15:09.599837 : Epoch  5, Batch   2338, Loss  0.851959, Average Loss  0.866466, Time  0.173269
2021-09-11 13:15:11.193837 : Epoch  5, Batch   2339, Loss  0.868025, Average Loss  0.866375, Time  0.174103
2021-09-11 13:15:12.802803 : Epoch  5, Batch   2340, Loss  0.859390, Average Loss  0.866422, Time  0.184371
2021-09-11 13:15:14.382696 : Epoch  5, Batch   2341, Loss  0.901438, Average Loss  0.866609, Time  0.170226
2021-09-11 13:15:15.976855 : Epoch  5, Batch   2342, Loss  0.876251, Average Loss  0.866805, Time  0.173446
2021-09-11 13:15:17.583836 : Epoch  5, Batch   2343, Loss  0.871778, Average Loss  0.866736, Time  0.169948
2021-09-11 13:15:19.201025 : Epoch  5, Batch   2344, Loss  0.842213, Average Loss  0.866570, Time  0.172636
2021-09-11 13:15:20.783036 : Epoch  5, Batch   2345, Loss  0.871661, Average Loss  0.866575, Time  0.170619
2021-09-11 13:15:22.364021 : Epoch  5, Batch   2346, Loss  0.861822, Average Loss  0.866651, Time  0.179342
2021-09-11 13:15:23.943788 : Epoch  5, Batch   2347, Loss  0.885545, Average Loss  0.866577, Time  0.170401
2021-09-11 13:15:25.532029 : Epoch  5, Batch   2348, Loss  0.866970, Average Loss  0.866474, Time  0.169533
2021-09-11 13:15:27.118758 : Epoch  5, Batch   2349, Loss  0.869096, Average Loss  0.866389, Time  0.171709
2021-09-11 13:15:28.723031 : Epoch  5, Batch   2350, Loss  0.858719, Average Loss  0.866485, Time  0.173075
2021-09-11 13:15:30.329768 : Epoch  5, Batch   2351, Loss  0.837131, Average Loss  0.866251, Time  0.181136
2021-09-11 13:15:31.919039 : Epoch  5, Batch   2352, Loss  0.858874, Average Loss  0.866210, Time  0.174536
2021-09-11 13:15:33.492908 : Epoch  5, Batch   2353, Loss  0.857351, Average Loss  0.866163, Time  0.170641
2021-09-11 13:15:35.082829 : Epoch  5, Batch   2354, Loss  0.868621, Average Loss  0.866235, Time  0.170049
2021-09-11 13:15:36.680811 : Epoch  5, Batch   2355, Loss  0.845400, Average Loss  0.866061, Time  0.170519
2021-09-11 13:15:38.263971 : Epoch  5, Batch   2356, Loss  0.852893, Average Loss  0.865962, Time  0.171078
2021-09-11 13:17:49.972730 : CheckPoint: Validation Loss  0.00030434, Best Loss  0.00029019
2021-09-11 13:17:52.558178 : Epoch  5, Batch    877, Loss  0.889092, Average Loss  0.869466, Time  0.239181
2021-09-11 13:17:55.143044 : Epoch  5, Batch    878, Loss  0.873428, Average Loss  0.869534, Time  0.238027
2021-09-11 13:17:57.729147 : Epoch  5, Batch    879, Loss  0.866584, Average Loss  0.869569, Time  0.237684
2021-09-11 13:18:00.311152 : Epoch  5, Batch    880, Loss  0.880770, Average Loss  0.869721, Time  0.237677
2021-09-11 13:18:02.897179 : Epoch  5, Batch    881, Loss  0.846905, Average Loss  0.869518, Time  0.238266
2021-09-11 13:18:05.499252 : Epoch  5, Batch    882, Loss  0.858590, Average Loss  0.869416, Time  0.238086
2021-09-11 13:18:08.090368 : Epoch  5, Batch    883, Loss  0.873263, Average Loss  0.869391, Time  0.237335
2021-09-11 13:18:10.683224 : Epoch  5, Batch    884, Loss  0.887784, Average Loss  0.869600, Time  0.238379
2021-09-11 13:18:13.265971 : Epoch  5, Batch    885, Loss  0.869075, Average Loss  0.869606, Time  0.238759
2021-09-11 13:18:15.854581 : Epoch  5, Batch    886, Loss  0.878647, Average Loss  0.869711, Time  0.239268
2021-09-11 13:18:18.434397 : Epoch  5, Batch    887, Loss  0.891387, Average Loss  0.869685, Time  0.237242
2021-09-11 13:18:21.021378 : Epoch  5, Batch    888, Loss  0.894203, Average Loss  0.869766, Time  0.239024
2021-09-11 13:18:23.610390 : Epoch  5, Batch    889, Loss  0.870033, Average Loss  0.869897, Time  0.237701
2021-09-11 13:18:26.194038 : Epoch  5, Batch    890, Loss  0.889416, Average Loss  0.870027, Time  0.237320
2021-09-11 13:18:28.799397 : Epoch  5, Batch    891, Loss  0.871730, Average Loss  0.870045, Time  0.239075
2021-09-11 13:18:31.381414 : Epoch  5, Batch    892, Loss  0.886937, Average Loss  0.870196, Time  0.237510
2021-09-11 13:18:33.987391 : Epoch  5, Batch    893, Loss  0.880111, Average Loss  0.870306, Time  0.237685
2021-09-11 13:18:36.575732 : Epoch  5, Batch    894, Loss  0.883220, Average Loss  0.870444, Time  0.237489
2021-09-11 13:18:39.165666 : Epoch  5, Batch    895, Loss  0.858667, Average Loss  0.870345, Time  0.237330
2021-09-11 13:18:41.751080 : Epoch  5, Batch    896, Loss  0.850710, Average Loss  0.870292, Time  0.237290
2021-09-11 13:18:44.334643 : Epoch  5, Batch    897, Loss  0.860171, Average Loss  0.870219, Time  0.237301
2021-09-11 13:18:46.921435 : Epoch  5, Batch    898, Loss  0.868283, Average Loss  0.870197, Time  0.241159
2021-09-11 13:18:49.509399 : Epoch  5, Batch    899, Loss  0.875109, Average Loss  0.870288, Time  0.237948
2021-09-11 13:18:52.100478 : Epoch  5, Batch    900, Loss  0.892360, Average Loss  0.870285, Time  0.238739
2021-09-11 13:18:54.695109 : Epoch  5, Batch    901, Loss  0.881992, Average Loss  0.870270, Time  0.239404
2021-09-11 13:18:57.289906 : Epoch  5, Batch    902, Loss  0.842235, Average Loss  0.870143, Time  0.239652
2021-09-11 13:18:59.875254 : Epoch  5, Batch    903, Loss  0.850631, Average Loss  0.869963, Time  0.237799
2021-09-11 13:19:02.455263 : Epoch  5, Batch    904, Loss  0.856254, Average Loss  0.869995, Time  0.238697
2021-09-11 13:19:05.043676 : Epoch  5, Batch    905, Loss  0.862307, Average Loss  0.869959, Time  0.240311
2021-09-11 13:19:07.635393 : Epoch  5, Batch    906, Loss  0.872935, Average Loss  0.869856, Time  0.238590
2021-09-11 13:19:10.229979 : Epoch  5, Batch    907, Loss  0.859440, Average Loss  0.869677, Time  0.237835
2021-09-11 13:19:12.818804 : Epoch  5, Batch    908, Loss  0.880166, Average Loss  0.869771, Time  0.237605
2021-09-11 13:19:15.424650 : Epoch  5, Batch    909, Loss  0.880150, Average Loss  0.869801, Time  0.237512
2021-09-11 13:19:18.021064 : Epoch  5, Batch    910, Loss  0.879402, Average Loss  0.869928, Time  0.237685
2021-09-11 13:19:20.607220 : Epoch  5, Batch    911, Loss  0.859381, Average Loss  0.869878, Time  0.237768
2021-09-11 13:19:23.192927 : Epoch  5, Batch    912, Loss  0.874161, Average Loss  0.869852, Time  0.237752
2021-09-11 13:19:25.773032 : Epoch  5, Batch    913, Loss  0.876626, Average Loss  0.869836, Time  0.237338
2021-09-11 13:19:28.353110 : Epoch  5, Batch    914, Loss  0.876286, Average Loss  0.869852, Time  0.237669
2021-09-11 13:19:30.946384 : Epoch  5, Batch    915, Loss  0.865150, Average Loss  0.869831, Time  0.240568
2021-09-11 13:19:33.546674 : Epoch  5, Batch    916, Loss  0.867991, Average Loss  0.869838, Time  0.238225
2021-09-11 13:19:36.179971 : Epoch  5, Batch    917, Loss  0.891238, Average Loss  0.870005, Time  0.238036
2021-09-11 13:19:38.761100 : Epoch  5, Batch    918, Loss  0.864218, Average Loss  0.870023, Time  0.238334
2021-09-11 13:19:41.348981 : Epoch  5, Batch    919, Loss  0.849668, Average Loss  0.869836, Time  0.239061
2021-09-11 13:19:43.926855 : Epoch  5, Batch    920, Loss  0.877512, Average Loss  0.869851, Time  0.238079
2021-09-11 13:19:46.520138 : Epoch  5, Batch    921, Loss  0.843431, Average Loss  0.869798, Time  0.237651
2021-09-11 13:19:49.098062 : Epoch  5, Batch    922, Loss  0.873066, Average Loss  0.869807, Time  0.237949
2021-09-11 13:19:51.696245 : Epoch  5, Batch    923, Loss  0.866909, Average Loss  0.869827, Time  0.238512
2021-09-11 13:19:54.287571 : Epoch  5, Batch    924, Loss  0.847514, Average Loss  0.869701, Time  0.237319
2021-09-11 13:19:56.876427 : Epoch  5, Batch    925, Loss  0.863181, Average Loss  0.869618, Time  0.238081
2021-09-11 13:19:59.458066 : Epoch  5, Batch    926, Loss  0.870669, Average Loss  0.869637, Time  0.238630
2021-09-11 13:20:02.045546 : Epoch  5, Batch    927, Loss  0.853469, Average Loss  0.869608, Time  0.239673
2021-09-11 13:20:04.637789 : Epoch  5, Batch    928, Loss  0.870674, Average Loss  0.869675, Time  0.240860
2021-09-11 13:20:07.256048 : Epoch  5, Batch    929, Loss  0.860057, Average Loss  0.869574, Time  0.237767
2021-09-11 13:20:09.848384 : Epoch  5, Batch    930, Loss  0.873448, Average Loss  0.869629, Time  0.237175
2021-09-11 13:20:12.433865 : Epoch  5, Batch    931, Loss  0.868971, Average Loss  0.869705, Time  0.238507
2021-09-11 13:20:15.034872 : Epoch  5, Batch    932, Loss  0.868201, Average Loss  0.869651, Time  0.240570
2021-09-11 13:20:17.622891 : Epoch  5, Batch    933, Loss  0.867439, Average Loss  0.869635, Time  0.237587
2021-09-11 13:20:18.260729 : CheckPoint: Validation Loss  0.00061337, Best Loss  0.00057296
2021-09-11 13:20:19.859956 : Epoch  5, Batch   2357, Loss  0.894159, Average Loss  0.866101, Time  0.178072
2021-09-11 13:20:20.203892 : Epoch  5, Batch    934, Loss  0.876589, Average Loss  0.869656, Time  0.238307
2021-09-11 13:20:21.446029 : Epoch  5, Batch   2358, Loss  0.852408, Average Loss  0.866173, Time  0.170090
2021-09-11 13:20:22.772012 : Epoch  5, Batch    935, Loss  0.864420, Average Loss  0.869662, Time  0.237668
2021-09-11 13:20:23.015819 : Epoch  5, Batch   2359, Loss  0.881972, Average Loss  0.866310, Time  0.169891
2021-09-11 13:20:24.583017 : Epoch  5, Batch   2360, Loss  0.851089, Average Loss  0.866262, Time  0.170269
2021-09-11 13:20:25.371944 : Epoch  5, Batch    936, Loss  0.867571, Average Loss  0.869698, Time  0.238714
2021-09-11 13:20:26.162934 : Epoch  5, Batch   2361, Loss  0.834979, Average Loss  0.866110, Time  0.170226
2021-09-11 13:20:27.765037 : Epoch  5, Batch   2362, Loss  0.876548, Average Loss  0.866173, Time  0.183104
2021-09-11 13:20:27.969376 : Epoch  5, Batch    937, Loss  0.865398, Average Loss  0.869620, Time  0.237615
2021-09-11 13:20:29.372789 : Epoch  5, Batch   2363, Loss  0.849036, Average Loss  0.866038, Time  0.171507
2021-09-11 13:20:30.532343 : Epoch  5, Batch    938, Loss  0.874071, Average Loss  0.869593, Time  0.237260
2021-09-11 13:20:30.971031 : Epoch  5, Batch   2364, Loss  0.857639, Average Loss  0.866029, Time  0.171386
2021-09-11 13:20:32.556689 : Epoch  5, Batch   2365, Loss  0.848509, Average Loss  0.865942, Time  0.173061
2021-09-11 13:20:33.116025 : Epoch  5, Batch    939, Loss  0.852886, Average Loss  0.869548, Time  0.237411
2021-09-11 13:20:34.145018 : Epoch  5, Batch   2366, Loss  0.903037, Average Loss  0.866215, Time  0.174493
2021-09-11 13:20:35.702597 : Epoch  5, Batch    940, Loss  0.875818, Average Loss  0.869607, Time  0.237703
2021-09-11 13:20:35.731749 : Epoch  5, Batch   2367, Loss  0.882832, Average Loss  0.866209, Time  0.172279
2021-09-11 13:20:37.314028 : Epoch  5, Batch   2368, Loss  0.883559, Average Loss  0.866366, Time  0.185344
2021-09-11 13:20:38.278574 : Epoch  5, Batch    941, Loss  0.867232, Average Loss  0.869418, Time  0.237186
2021-09-11 13:20:38.892843 : Epoch  5, Batch   2369, Loss  0.859324, Average Loss  0.866275, Time  0.169954
2021-09-11 13:20:40.510033 : Epoch  5, Batch   2370, Loss  0.885622, Average Loss  0.866342, Time  0.169745
2021-09-11 13:20:40.864561 : Epoch  5, Batch    942, Loss  0.864365, Average Loss  0.869282, Time  0.238212
2021-09-11 13:20:42.111836 : Epoch  5, Batch   2371, Loss  0.869819, Average Loss  0.866435, Time  0.172770
2021-09-11 13:20:43.449859 : Epoch  5, Batch    943, Loss  0.855703, Average Loss  0.869219, Time  0.237950
2021-09-11 13:20:43.704077 : Epoch  5, Batch   2372, Loss  0.879240, Average Loss  0.866621, Time  0.170159
2021-09-11 13:20:45.301810 : Epoch  5, Batch   2373, Loss  0.855613, Average Loss  0.866574, Time  0.170896
2021-09-11 13:20:46.046095 : Epoch  5, Batch    944, Loss  0.856591, Average Loss  0.869157, Time  0.238009
2021-09-11 13:20:46.815028 : Epoch  5, Batch   2374, Loss  0.909822, Average Loss  0.867000, Time  0.165665
2021-09-11 13:20:48.412939 : Epoch  5, Batch   2375, Loss  0.881832, Average Loss  0.866964, Time  0.170180
2021-09-11 13:20:48.621088 : Epoch  5, Batch    945, Loss  0.873251, Average Loss  0.869296, Time  0.238203
2021-09-11 13:20:50.006047 : Epoch  5, Batch   2376, Loss  0.865401, Average Loss  0.866934, Time  0.170027
2021-09-11 13:20:51.221836 : Epoch  5, Batch    946, Loss  0.869626, Average Loss  0.869284, Time  0.243267
2021-09-11 13:20:51.604766 : Epoch  5, Batch   2377, Loss  0.886055, Average Loss  0.867038, Time  0.170954
2021-09-11 13:20:53.214957 : Epoch  5, Batch   2378, Loss  0.861848, Average Loss  0.867110, Time  0.170767
2021-09-11 13:20:53.826836 : Epoch  5, Batch    947, Loss  0.862688, Average Loss  0.869276, Time  0.239359
2021-09-11 13:20:54.798733 : Epoch  5, Batch   2379, Loss  0.845722, Average Loss  0.866977, Time  0.183844
2021-09-11 13:20:56.379735 : Epoch  5, Batch   2380, Loss  0.869606, Average Loss  0.867035, Time  0.172264
2021-09-11 13:20:56.417845 : Epoch  5, Batch    948, Loss  0.855836, Average Loss  0.869157, Time  0.237571
2021-09-11 13:20:57.969740 : Epoch  5, Batch   2381, Loss  0.884325, Average Loss  0.867196, Time  0.181097
2021-09-11 13:20:58.988377 : Epoch  5, Batch    949, Loss  0.871190, Average Loss  0.869219, Time  0.238026
2021-09-11 13:20:59.546753 : Epoch  5, Batch   2382, Loss  0.865884, Average Loss  0.867244, Time  0.169788
2021-09-11 13:21:01.156769 : Epoch  5, Batch   2383, Loss  0.875201, Average Loss  0.867306, Time  0.172956
2021-09-11 13:21:01.576210 : Epoch  5, Batch    950, Loss  0.853493, Average Loss  0.869193, Time  0.238275
2021-09-11 13:21:02.751744 : Epoch  5, Batch   2384, Loss  0.871873, Average Loss  0.867338, Time  0.169895
2021-09-11 13:21:04.151094 : Epoch  5, Batch    951, Loss  0.863477, Average Loss  0.869154, Time  0.237984
2021-09-11 13:21:04.333742 : Epoch  5, Batch   2385, Loss  0.863683, Average Loss  0.867483, Time  0.170524
2021-09-11 13:21:05.939742 : Epoch  5, Batch   2386, Loss  0.854585, Average Loss  0.867252, Time  0.173912
2021-09-11 13:21:06.744108 : Epoch  5, Batch    952, Loss  0.869043, Average Loss  0.869228, Time  0.238403
2021-09-11 13:21:07.521956 : Epoch  5, Batch   2387, Loss  0.835628, Average Loss  0.867156, Time  0.169842
2021-09-11 13:21:09.113873 : Epoch  5, Batch   2388, Loss  0.872142, Average Loss  0.867142, Time  0.170227
2021-09-11 13:21:09.339896 : Epoch  5, Batch    953, Loss  0.885748, Average Loss  0.869350, Time  0.240238
2021-09-11 13:21:10.680028 : Epoch  5, Batch   2389, Loss  0.837371, Average Loss  0.867056, Time  0.169927
2021-09-11 13:21:11.923018 : Epoch  5, Batch    954, Loss  0.849686, Average Loss  0.869191, Time  0.238132
2021-09-11 13:21:12.248030 : Epoch  5, Batch   2390, Loss  0.879893, Average Loss  0.867089, Time  0.171829
2021-09-11 13:21:13.838872 : Epoch  5, Batch   2391, Loss  0.885714, Average Loss  0.867124, Time  0.176647
2021-09-11 13:21:14.503828 : Epoch  5, Batch    955, Loss  0.865471, Average Loss  0.869170, Time  0.237680
2021-09-11 13:21:15.443047 : Epoch  5, Batch   2392, Loss  0.856365, Average Loss  0.867040, Time  0.169899
2021-09-11 13:21:17.050033 : Epoch  5, Batch   2393, Loss  0.845920, Average Loss  0.866891, Time  0.170285
2021-09-11 13:21:17.080277 : Epoch  5, Batch    956, Loss  0.863659, Average Loss  0.869066, Time  0.237414
2021-09-11 13:21:18.658850 : Epoch  5, Batch   2394, Loss  0.858368, Average Loss  0.866826, Time  0.169938
2021-09-11 13:21:19.654387 : Epoch  5, Batch    957, Loss  0.883106, Average Loss  0.869186, Time  0.237901
2021-09-11 13:21:20.268745 : Epoch  5, Batch   2395, Loss  0.873856, Average Loss  0.866863, Time  0.179784
2021-09-11 13:21:21.862037 : Epoch  5, Batch   2396, Loss  0.881580, Average Loss  0.866909, Time  0.173953
2021-09-11 13:21:22.240145 : Epoch  5, Batch    958, Loss  0.875321, Average Loss  0.869168, Time  0.237661
2021-09-11 13:21:23.447033 : Epoch  5, Batch   2397, Loss  0.876828, Average Loss  0.867072, Time  0.172771
2021-09-11 13:21:24.830288 : Epoch  5, Batch    959, Loss  0.876081, Average Loss  0.869206, Time  0.237593
2021-09-11 13:21:25.036023 : Epoch  5, Batch   2398, Loss  0.866575, Average Loss  0.867042, Time  0.170051
2021-09-11 13:21:26.615727 : Epoch  5, Batch   2399, Loss  0.847712, Average Loss  0.866859, Time  0.187013
2021-09-11 13:21:27.408095 : Epoch  5, Batch    960, Loss  0.868684, Average Loss  0.869255, Time  0.237275
2021-09-11 13:21:28.187804 : Epoch  5, Batch   2400, Loss  0.881967, Average Loss  0.867005, Time  0.169819
2021-09-11 13:21:29.782037 : Epoch  5, Batch   2401, Loss  0.859441, Average Loss  0.866832, Time  0.170876
2021-09-11 13:21:29.992280 : Epoch  5, Batch    961, Loss  0.870910, Average Loss  0.869262, Time  0.237759
2021-09-11 13:21:31.381025 : Epoch  5, Batch   2402, Loss  0.895792, Average Loss  0.866891, Time  0.169794
2021-09-11 13:21:32.558222 : Epoch  5, Batch    962, Loss  0.865199, Average Loss  0.869367, Time  0.237820
2021-09-11 13:21:32.989835 : Epoch  5, Batch   2403, Loss  0.889777, Average Loss  0.867215, Time  0.172509
2021-09-11 13:21:34.567055 : Epoch  5, Batch   2404, Loss  0.906569, Average Loss  0.867432, Time  0.174807
2021-09-11 13:21:35.150075 : Epoch  5, Batch    963, Loss  0.878848, Average Loss  0.869458, Time  0.239801
2021-09-11 13:21:36.163025 : Epoch  5, Batch   2405, Loss  0.870069, Average Loss  0.867473, Time  0.170055
2021-09-11 13:21:37.738813 : Epoch  5, Batch    964, Loss  0.862198, Average Loss  0.869411, Time  0.237401
2021-09-11 13:21:37.762038 : Epoch  5, Batch   2406, Loss  0.878776, Average Loss  0.867467, Time  0.173634
2021-09-11 13:21:39.338022 : Epoch  5, Batch   2407, Loss  0.870890, Average Loss  0.867679, Time  0.171916
2021-09-11 13:21:40.320978 : Epoch  5, Batch    965, Loss  0.882513, Average Loss  0.869404, Time  0.237464
2021-09-11 13:21:40.930037 : Epoch  5, Batch   2408, Loss  0.861791, Average Loss  0.867741, Time  0.169909
2021-09-11 13:21:42.535989 : Epoch  5, Batch   2409, Loss  0.847585, Average Loss  0.867636, Time  0.181995
2021-09-11 13:21:42.932368 : Epoch  5, Batch    966, Loss  0.867495, Average Loss  0.869356, Time  0.246479
2021-09-11 13:21:44.121749 : Epoch  5, Batch   2410, Loss  0.870722, Average Loss  0.867753, Time  0.171085
2021-09-11 13:21:45.511031 : Epoch  5, Batch    967, Loss  0.870613, Average Loss  0.869438, Time  0.237663
2021-09-11 13:21:45.702032 : Epoch  5, Batch   2411, Loss  0.895183, Average Loss  0.867811, Time  0.173635
2021-09-11 13:21:47.294743 : Epoch  5, Batch   2412, Loss  0.864615, Average Loss  0.867716, Time  0.173430
2021-09-11 13:21:48.098026 : Epoch  5, Batch    968, Loss  0.876060, Average Loss  0.869542, Time  0.241309
2021-09-11 13:21:48.889823 : Epoch  5, Batch   2413, Loss  0.885350, Average Loss  0.867826, Time  0.173403
2021-09-11 13:21:50.486774 : Epoch  5, Batch   2414, Loss  0.816995, Average Loss  0.867551, Time  0.172197
2021-09-11 13:21:50.683578 : Epoch  5, Batch    969, Loss  0.876138, Average Loss  0.869626, Time  0.240095
2021-09-11 13:21:52.080768 : Epoch  5, Batch   2415, Loss  0.890438, Average Loss  0.867795, Time  0.170504
2021-09-11 13:21:53.260615 : Epoch  5, Batch    970, Loss  0.870417, Average Loss  0.869738, Time  0.237437
2021-09-11 13:21:53.673828 : Epoch  5, Batch   2416, Loss  0.874056, Average Loss  0.867848, Time  0.170411
2021-09-11 13:21:55.246029 : Epoch  5, Batch   2417, Loss  0.893995, Average Loss  0.868048, Time  0.173127
2021-09-11 13:21:55.847981 : Epoch  5, Batch    971, Loss  0.872712, Average Loss  0.869789, Time  0.238600
2021-09-11 13:21:56.853026 : Epoch  5, Batch   2418, Loss  0.878479, Average Loss  0.868124, Time  0.180215
2021-09-11 13:21:58.456034 : Epoch  5, Batch   2419, Loss  0.837537, Average Loss  0.867996, Time  0.174434
2021-09-11 13:22:00.077029 : Epoch  5, Batch   2420, Loss  0.839644, Average Loss  0.867837, Time  0.170225
2021-09-11 13:22:01.032266 : Epoch  5, Batch    973, Loss  0.863964, Average Loss  0.869897, Time  0.238129
2021-09-11 13:22:01.670737 : Epoch  5, Batch   2421, Loss  0.848070, Average Loss  0.867798, Time  0.170106
2021-09-11 13:22:03.261742 : Epoch  5, Batch   2422, Loss  0.900437, Average Loss  0.867956, Time  0.172434
2021-09-11 13:22:03.613939 : Epoch  5, Batch    974, Loss  0.854335, Average Loss  0.869897, Time  0.238229
2021-09-11 13:22:04.895786 : Epoch  5, Batch   2423, Loss  0.866895, Average Loss  0.867781, Time  0.171810
2021-09-11 13:22:06.183720 : Epoch  5, Batch    975, Loss  0.866679, Average Loss  0.869904, Time  0.237920
2021-09-11 13:22:06.472748 : Epoch  5, Batch   2424, Loss  0.860677, Average Loss  0.867746, Time  0.170100
2021-09-11 13:22:08.061957 : Epoch  5, Batch   2425, Loss  0.853942, Average Loss  0.867628, Time  0.177928
2021-09-11 13:22:08.772976 : Epoch  5, Batch    976, Loss  0.862065, Average Loss  0.869788, Time  0.238763
2021-09-11 13:22:09.718800 : Epoch  5, Batch   2426, Loss  0.867017, Average Loss  0.867719, Time  0.185556
2021-09-11 13:22:11.334768 : Epoch  5, Batch   2427, Loss  0.868521, Average Loss  0.867768, Time  0.172851
2021-09-11 13:22:12.912031 : Epoch  5, Batch   2428, Loss  0.835602, Average Loss  0.867702, Time  0.173017
2021-09-11 13:22:14.502852 : Epoch  5, Batch   2429, Loss  0.867604, Average Loss  0.867562, Time  0.169852
2021-09-11 13:22:16.119406 : Epoch  5, Batch   2430, Loss  0.868643, Average Loss  0.867759, Time  0.171382
2021-09-11 13:22:17.686069 : Epoch  5, Batch   2431, Loss  0.834928, Average Loss  0.867538, Time  0.170678
2021-09-11 13:22:19.339820 : Epoch  5, Batch   2432, Loss  0.877849, Average Loss  0.867512, Time  0.178116
2021-09-11 13:22:20.950017 : Epoch  5, Batch   2433, Loss  0.878350, Average Loss  0.867489, Time  0.175782
2021-09-11 13:22:22.524838 : Epoch  5, Batch   2434, Loss  0.915512, Average Loss  0.867612, Time  0.170750
2021-09-11 13:22:24.124944 : Epoch  5, Batch   2435, Loss  0.887464, Average Loss  0.867773, Time  0.180575
2021-09-11 13:22:25.734809 : Epoch  5, Batch   2436, Loss  0.859793, Average Loss  0.867766, Time  0.190029
2021-09-11 13:22:27.323026 : Epoch  5, Batch   2437, Loss  0.849619, Average Loss  0.867569, Time  0.182314
2021-09-11 13:22:28.919795 : Epoch  5, Batch   2438, Loss  0.898452, Average Loss  0.867521, Time  0.180934
2021-09-11 13:22:30.515742 : Epoch  5, Batch   2439, Loss  0.856563, Average Loss  0.867449, Time  0.171381
2021-09-11 13:22:32.093777 : Epoch  5, Batch   2440, Loss  0.874159, Average Loss  0.867563, Time  0.169878
2021-09-11 13:22:33.661934 : Epoch  5, Batch   2441, Loss  0.855824, Average Loss  0.867377, Time  0.170746
2021-09-11 13:22:35.248767 : Epoch  5, Batch   2442, Loss  0.895763, Average Loss  0.867508, Time  0.170179
2021-09-11 13:22:36.843859 : Epoch  5, Batch   2443, Loss  0.874563, Average Loss  0.867393, Time  0.173036
2021-09-11 13:22:38.444023 : Epoch  5, Batch   2444, Loss  0.847896, Average Loss  0.867233, Time  0.170857
2021-09-11 13:22:40.040738 : Epoch  5, Batch   2445, Loss  0.881391, Average Loss  0.867404, Time  0.172523
2021-09-11 13:22:41.646867 : Epoch  5, Batch   2446, Loss  0.833226, Average Loss  0.867171, Time  0.179952
2021-09-11 13:22:43.225796 : Epoch  5, Batch   2447, Loss  0.882243, Average Loss  0.867150, Time  0.169959
2021-09-11 13:22:44.826802 : Epoch  5, Batch   2448, Loss  0.850561, Average Loss  0.866923, Time  0.170088
2021-09-11 13:22:46.424761 : Epoch  5, Batch   2449, Loss  0.877889, Average Loss  0.866965, Time  0.169870
2021-09-11 13:22:48.022033 : Epoch  5, Batch   2450, Loss  0.873860, Average Loss  0.866966, Time  0.171620
2021-09-11 13:22:49.597852 : Epoch  5, Batch   2451, Loss  0.865618, Average Loss  0.866974, Time  0.170776
2021-09-11 13:22:51.183898 : Epoch  5, Batch   2452, Loss  0.881163, Average Loss  0.867088, Time  0.170034
2021-09-11 13:22:52.764791 : Epoch  5, Batch   2453, Loss  0.853551, Average Loss  0.867008, Time  0.169847
2021-09-11 13:22:54.352827 : Epoch  5, Batch   2454, Loss  0.884127, Average Loss  0.867089, Time  0.170043
2021-09-11 13:22:55.945912 : Epoch  5, Batch   2455, Loss  0.864657, Average Loss  0.867155, Time  0.170883
2021-09-11 13:22:57.566761 : Epoch  5, Batch   2456, Loss  0.848720, Average Loss  0.867145, Time  0.170349
2021-09-11 13:26:10.481734 : CheckPoint: Validation Loss  0.00030599, Best Loss  0.00029019
2021-09-11 13:26:13.119963 : Epoch  5, Batch    977, Loss  0.872812, Average Loss  0.869737, Time  0.273332
2021-09-11 13:26:15.723919 : Epoch  5, Batch    978, Loss  0.871341, Average Loss  0.869716, Time  0.250684
2021-09-11 13:26:18.315939 : Epoch  5, Batch    979, Loss  0.870674, Average Loss  0.869721, Time  0.238386
2021-09-11 13:26:20.905536 : Epoch  5, Batch    980, Loss  0.876045, Average Loss  0.869715, Time  0.237107
2021-09-11 13:26:23.511358 : Epoch  5, Batch    981, Loss  0.862443, Average Loss  0.869697, Time  0.260518
2021-09-11 13:26:26.104007 : Epoch  5, Batch    982, Loss  0.869326, Average Loss  0.869767, Time  0.237172
2021-09-11 13:26:28.690997 : Epoch  5, Batch    983, Loss  0.872661, Average Loss  0.869734, Time  0.237431
2021-09-11 13:26:31.276057 : Epoch  5, Batch    984, Loss  0.867190, Average Loss  0.869750, Time  0.237618
2021-09-11 13:26:33.863348 : Epoch  5, Batch    985, Loss  0.851368, Average Loss  0.869709, Time  0.239111
2021-09-11 13:26:36.446414 : Epoch  5, Batch    986, Loss  0.892427, Average Loss  0.869793, Time  0.238216
2021-09-11 13:26:39.028937 : Epoch  5, Batch    987, Loss  0.877217, Average Loss  0.869825, Time  0.238681
2021-09-11 13:26:41.607282 : Epoch  5, Batch    988, Loss  0.851021, Average Loss  0.869740, Time  0.238784
2021-09-11 13:26:44.201403 : Epoch  5, Batch    989, Loss  0.850821, Average Loss  0.869751, Time  0.237395
2021-09-11 13:26:46.785430 : Epoch  5, Batch    990, Loss  0.849784, Average Loss  0.869632, Time  0.239869
2021-09-11 13:26:49.364546 : Epoch  5, Batch    991, Loss  0.857341, Average Loss  0.869592, Time  0.237792
2021-09-11 13:26:51.958460 : Epoch  5, Batch    992, Loss  0.856832, Average Loss  0.869578, Time  0.238471
2021-09-11 13:26:54.535385 : Epoch  5, Batch    993, Loss  0.886146, Average Loss  0.869709, Time  0.238191
2021-09-11 13:26:57.120933 : Epoch  5, Batch    994, Loss  0.879070, Average Loss  0.869751, Time  0.238687
2021-09-11 13:26:59.698255 : Epoch  5, Batch    995, Loss  0.867883, Average Loss  0.869667, Time  0.238376
2021-09-11 13:27:02.299042 : Epoch  5, Batch    996, Loss  0.856753, Average Loss  0.869585, Time  0.239391
2021-09-11 13:27:04.904067 : Epoch  5, Batch    997, Loss  0.859164, Average Loss  0.869423, Time  0.240555
2021-09-11 13:27:07.506850 : Epoch  5, Batch    998, Loss  0.893033, Average Loss  0.869550, Time  0.237760
2021-09-11 13:27:10.098875 : Epoch  5, Batch    999, Loss  0.876162, Average Loss  0.869614, Time  0.239529
2021-09-11 13:27:12.686390 : Epoch  5, Batch   1000, Loss  0.876128, Average Loss  0.869702, Time  0.239476
2021-09-11 13:27:15.274837 : Epoch  5, Batch   1001, Loss  0.889262, Average Loss  0.869801, Time  0.238168
2021-09-11 13:27:17.861389 : Epoch  5, Batch   1002, Loss  0.867413, Average Loss  0.869820, Time  0.237947
2021-09-11 13:27:20.457594 : Epoch  5, Batch   1003, Loss  0.877994, Average Loss  0.869783, Time  0.239977
2021-09-11 13:27:23.039180 : Epoch  5, Batch   1004, Loss  0.853154, Average Loss  0.869634, Time  0.237775
2021-09-11 13:27:25.619831 : Epoch  5, Batch   1005, Loss  0.859560, Average Loss  0.869570, Time  0.238805
2021-09-11 13:27:28.203842 : Epoch  5, Batch   1006, Loss  0.858164, Average Loss  0.869461, Time  0.237519
2021-09-11 13:27:30.782076 : Epoch  5, Batch   1007, Loss  0.867434, Average Loss  0.869517, Time  0.239295
2021-09-11 13:27:33.367919 : Epoch  5, Batch   1008, Loss  0.864703, Average Loss  0.869526, Time  0.237566
2021-09-11 13:27:35.951597 : Epoch  5, Batch   1009, Loss  0.871696, Average Loss  0.869615, Time  0.237473
2021-09-11 13:27:38.320727 : CheckPoint: Validation Loss  0.00060889, Best Loss  0.00057296
2021-09-11 13:27:38.535074 : Epoch  5, Batch   1010, Loss  0.860075, Average Loss  0.869507, Time  0.238157
2021-09-11 13:27:39.928958 : Epoch  5, Batch   2457, Loss  0.871896, Average Loss  0.867105, Time  0.177845
2021-09-11 13:27:41.119929 : Epoch  5, Batch   1011, Loss  0.876445, Average Loss  0.869525, Time  0.238519
2021-09-11 13:27:41.547733 : Epoch  5, Batch   2458, Loss  0.852925, Average Loss  0.866998, Time  0.176823
2021-09-11 13:27:43.137012 : Epoch  5, Batch   2459, Loss  0.874131, Average Loss  0.867035, Time  0.171708
2021-09-11 13:27:43.704833 : Epoch  5, Batch   1012, Loss  0.880006, Average Loss  0.869624, Time  0.238025
2021-09-11 13:27:44.743338 : Epoch  5, Batch   2460, Loss  0.860506, Average Loss  0.866955, Time  0.172783
2021-09-11 13:27:46.304087 : Epoch  5, Batch   1013, Loss  0.894116, Average Loss  0.869746, Time  0.238290
2021-09-11 13:27:46.353749 : Epoch  5, Batch   2461, Loss  0.875273, Average Loss  0.867046, Time  0.172724
2021-09-11 13:27:47.961950 : Epoch  5, Batch   2462, Loss  0.866454, Average Loss  0.867031, Time  0.173841
2021-09-11 13:27:48.895866 : Epoch  5, Batch   1014, Loss  0.866560, Average Loss  0.869670, Time  0.240905
2021-09-11 13:27:49.562802 : Epoch  5, Batch   2463, Loss  0.840740, Average Loss  0.866840, Time  0.171432
2021-09-11 13:27:51.181002 : Epoch  5, Batch   2464, Loss  0.845270, Average Loss  0.866734, Time  0.169943
2021-09-11 13:27:51.485631 : Epoch  5, Batch   1015, Loss  0.855585, Average Loss  0.869595, Time  0.238010
2021-09-11 13:27:52.795997 : Epoch  5, Batch   2465, Loss  0.889655, Average Loss  0.866794, Time  0.169648
2021-09-11 13:27:54.070849 : Epoch  5, Batch   1016, Loss  0.873034, Average Loss  0.869748, Time  0.240893
2021-09-11 13:27:54.424816 : Epoch  5, Batch   2466, Loss  0.828395, Average Loss  0.866718, Time  0.169971
2021-09-11 13:27:56.024997 : Epoch  5, Batch   2467, Loss  0.908585, Average Loss  0.867091, Time  0.169584
2021-09-11 13:27:56.663904 : Epoch  5, Batch   1017, Loss  0.878336, Average Loss  0.869782, Time  0.240937
2021-09-11 13:27:57.631028 : Epoch  5, Batch   2468, Loss  0.922566, Average Loss  0.867448, Time  0.170218
2021-09-11 13:27:59.239074 : Epoch  5, Batch   2469, Loss  0.873682, Average Loss  0.867389, Time  0.173304
2021-09-11 13:27:59.255353 : Epoch  5, Batch   1018, Loss  0.873713, Average Loss  0.869868, Time  0.239511
2021-09-11 13:28:00.863749 : Epoch  5, Batch   2470, Loss  0.854424, Average Loss  0.867219, Time  0.180444
2021-09-11 13:28:01.849933 : Epoch  5, Batch   1019, Loss  0.867593, Average Loss  0.869779, Time  0.237241
2021-09-11 13:28:02.476931 : Epoch  5, Batch   2471, Loss  0.851503, Average Loss  0.867237, Time  0.170058
2021-09-11 13:28:04.074035 : Epoch  5, Batch   2472, Loss  0.863249, Average Loss  0.867267, Time  0.170940
2021-09-11 13:28:04.451893 : Epoch  5, Batch   1020, Loss  0.860942, Average Loss  0.869710, Time  0.241414
2021-09-11 13:28:05.669023 : Epoch  5, Batch   2473, Loss  0.877154, Average Loss  0.867204, Time  0.170267
2021-09-11 13:28:07.040360 : Epoch  5, Batch   1021, Loss  0.865264, Average Loss  0.869679, Time  0.238065
2021-09-11 13:28:07.283021 : Epoch  5, Batch   2474, Loss  0.889816, Average Loss  0.867075, Time  0.178048
2021-09-11 13:28:08.906030 : Epoch  5, Batch   2475, Loss  0.867588, Average Loss  0.867092, Time  0.171901
2021-09-11 13:28:09.627918 : Epoch  5, Batch   1022, Loss  0.873719, Average Loss  0.869564, Time  0.237756
2021-09-11 13:28:10.490987 : Epoch  5, Batch   2476, Loss  0.870832, Average Loss  0.867121, Time  0.169616
2021-09-11 13:28:12.124979 : Epoch  5, Batch   2477, Loss  0.849549, Average Loss  0.867046, Time  0.169546
2021-09-11 13:28:12.215367 : Epoch  5, Batch   1023, Loss  0.862752, Average Loss  0.869513, Time  0.238066
2021-09-11 13:28:13.745752 : Epoch  5, Batch   2478, Loss  0.874732, Average Loss  0.867066, Time  0.169948
2021-09-11 13:28:14.800853 : Epoch  5, Batch   1024, Loss  0.867447, Average Loss  0.869467, Time  0.241871
2021-09-11 13:28:15.370846 : Epoch  5, Batch   2479, Loss  0.867409, Average Loss  0.866941, Time  0.170024
2021-09-11 13:28:16.993736 : Epoch  5, Batch   2480, Loss  0.872804, Average Loss  0.866985, Time  0.169944
2021-09-11 13:28:17.391084 : Epoch  5, Batch   1025, Loss  0.854388, Average Loss  0.869379, Time  0.239070
2021-09-11 13:28:18.613995 : Epoch  5, Batch   2481, Loss  0.867675, Average Loss  0.866948, Time  0.171919
2021-09-11 13:28:19.967386 : Epoch  5, Batch   1026, Loss  0.869005, Average Loss  0.869333, Time  0.237180
2021-09-11 13:28:20.243003 : Epoch  5, Batch   2482, Loss  0.857835, Average Loss  0.866833, Time  0.170398
2021-09-11 13:28:21.865028 : Epoch  5, Batch   2483, Loss  0.876108, Average Loss  0.866843, Time  0.169826
2021-09-11 13:28:22.564408 : Epoch  5, Batch   1027, Loss  0.874624, Average Loss  0.869341, Time  0.238144
2021-09-11 13:28:23.496991 : Epoch  5, Batch   2484, Loss  0.909519, Average Loss  0.867070, Time  0.172037
2021-09-11 13:28:25.098807 : Epoch  5, Batch   2485, Loss  0.856939, Average Loss  0.866997, Time  0.169767
2021-09-11 13:28:25.148392 : Epoch  5, Batch   1028, Loss  0.870757, Average Loss  0.869337, Time  0.237036
2021-09-11 13:28:26.698984 : Epoch  5, Batch   2486, Loss  0.856077, Average Loss  0.867045, Time  0.169898
2021-09-11 13:28:27.729392 : Epoch  5, Batch   1029, Loss  0.866873, Average Loss  0.869295, Time  0.237319
2021-09-11 13:28:28.305766 : Epoch  5, Batch   2487, Loss  0.885535, Average Loss  0.867238, Time  0.169633
2021-09-11 13:28:29.914031 : Epoch  5, Batch   2488, Loss  0.873950, Average Loss  0.867271, Time  0.174671
2021-09-11 13:28:30.317011 : Epoch  5, Batch   1030, Loss  0.864242, Average Loss  0.869242, Time  0.238284
2021-09-11 13:28:31.501991 : Epoch  5, Batch   2489, Loss  0.852316, Average Loss  0.867209, Time  0.169640
2021-09-11 13:28:32.911807 : Epoch  5, Batch   1031, Loss  0.870281, Average Loss  0.869226, Time  0.241149
2021-09-11 13:28:33.111996 : Epoch  5, Batch   2490, Loss  0.868159, Average Loss  0.867285, Time  0.171814
2021-09-11 13:28:34.737989 : Epoch  5, Batch   2491, Loss  0.861137, Average Loss  0.867156, Time  0.169507
2021-09-11 13:28:35.503051 : Epoch  5, Batch   1032, Loss  0.843782, Average Loss  0.868917, Time  0.239280
2021-09-11 13:28:36.352009 : Epoch  5, Batch   2492, Loss  0.882608, Average Loss  0.867259, Time  0.169832
2021-09-11 13:28:37.964994 : Epoch  5, Batch   2493, Loss  0.867560, Average Loss  0.867226, Time  0.169739
2021-09-11 13:28:38.081177 : Epoch  5, Batch   1033, Loss  0.883029, Average Loss  0.868998, Time  0.237339
2021-09-11 13:28:39.603994 : Epoch  5, Batch   2494, Loss  0.887588, Average Loss  0.867247, Time  0.169805
2021-09-11 13:28:40.666858 : Epoch  5, Batch   1034, Loss  0.871665, Average Loss  0.869070, Time  0.237339
2021-09-11 13:28:41.214001 : Epoch  5, Batch   2495, Loss  0.872480, Average Loss  0.867304, Time  0.169677
2021-09-11 13:28:42.825737 : Epoch  5, Batch   2496, Loss  0.852497, Average Loss  0.867299, Time  0.169655
2021-09-11 13:28:43.238044 : Epoch  5, Batch   1035, Loss  0.856005, Average Loss  0.868991, Time  0.238596
2021-09-11 13:28:44.438922 : Epoch  5, Batch   2497, Loss  0.863794, Average Loss  0.867318, Time  0.170056
2021-09-11 13:28:45.818843 : Epoch  5, Batch   1036, Loss  0.863756, Average Loss  0.868994, Time  0.237288
2021-09-11 13:28:46.039033 : Epoch  5, Batch   2498, Loss  0.888325, Average Loss  0.867358, Time  0.173177
2021-09-11 13:28:47.636774 : Epoch  5, Batch   2499, Loss  0.873203, Average Loss  0.867500, Time  0.171958
2021-09-11 13:28:48.447873 : Epoch  5, Batch   1037, Loss  0.850186, Average Loss  0.868934, Time  0.238386
2021-09-11 13:28:49.226758 : Epoch  5, Batch   2500, Loss  0.858045, Average Loss  0.867471, Time  0.169587
2021-09-11 13:28:50.840995 : Epoch  5, Batch   2501, Loss  0.895500, Average Loss  0.867646, Time  0.169981
2021-09-11 13:28:51.038348 : Epoch  5, Batch   1038, Loss  0.883164, Average Loss  0.868938, Time  0.240944
2021-09-11 13:28:52.459006 : Epoch  5, Batch   2502, Loss  0.845397, Average Loss  0.867561, Time  0.169657
2021-09-11 13:28:53.616350 : Epoch  5, Batch   1039, Loss  0.870775, Average Loss  0.868836, Time  0.237701
2021-09-11 13:28:54.071742 : Epoch  5, Batch   2503, Loss  0.891250, Average Loss  0.867759, Time  0.170372
2021-09-11 13:28:55.691998 : Epoch  5, Batch   2504, Loss  0.846196, Average Loss  0.867663, Time  0.169970
2021-09-11 13:28:56.204951 : Epoch  5, Batch   1040, Loss  0.865370, Average Loss  0.868921, Time  0.237891
2021-09-11 13:28:57.307738 : Epoch  5, Batch   2505, Loss  0.874259, Average Loss  0.867570, Time  0.169907
2021-09-11 13:28:58.802116 : Epoch  5, Batch   1041, Loss  0.876274, Average Loss  0.868886, Time  0.238813
2021-09-11 13:28:58.947933 : Epoch  5, Batch   2506, Loss  0.869813, Average Loss  0.867563, Time  0.171622
2021-09-11 13:29:00.550999 : Epoch  5, Batch   2507, Loss  0.875088, Average Loss  0.867715, Time  0.169920
2021-09-11 13:29:01.379959 : Epoch  5, Batch   1042, Loss  0.889381, Average Loss  0.868996, Time  0.240757
2021-09-11 13:29:02.166997 : Epoch  5, Batch   2508, Loss  0.869395, Average Loss  0.867760, Time  0.169705
2021-09-11 13:29:03.777019 : Epoch  5, Batch   2509, Loss  0.875114, Average Loss  0.867863, Time  0.170140
2021-09-11 13:29:03.964929 : Epoch  5, Batch   1043, Loss  0.873312, Average Loss  0.869079, Time  0.237649
2021-09-11 13:29:05.393011 : Epoch  5, Batch   2510, Loss  0.871515, Average Loss  0.867924, Time  0.169647
2021-09-11 13:29:06.550579 : Epoch  5, Batch   1044, Loss  0.889493, Average Loss  0.869242, Time  0.238141
2021-09-11 13:29:07.017994 : Epoch  5, Batch   2511, Loss  0.880379, Average Loss  0.868010, Time  0.169688
2021-09-11 13:29:08.636806 : Epoch  5, Batch   2512, Loss  0.874594, Average Loss  0.868165, Time  0.169672
2021-09-11 13:29:09.157423 : Epoch  5, Batch   1045, Loss  0.869912, Average Loss  0.869183, Time  0.238688
2021-09-11 13:29:10.260991 : Epoch  5, Batch   2513, Loss  0.892997, Average Loss  0.868257, Time  0.169583
2021-09-11 13:29:11.778839 : Epoch  5, Batch   1046, Loss  0.865218, Average Loss  0.869173, Time  0.238532
2021-09-11 13:29:11.857984 : Epoch  5, Batch   2514, Loss  0.849840, Average Loss  0.868161, Time  0.169582
2021-09-11 13:29:13.483992 : Epoch  5, Batch   2515, Loss  0.854712, Average Loss  0.868052, Time  0.169945
2021-09-11 13:29:14.367215 : Epoch  5, Batch   1047, Loss  0.879807, Average Loss  0.869314, Time  0.238245
2021-09-11 13:29:15.088999 : Epoch  5, Batch   2516, Loss  0.867405, Average Loss  0.868029, Time  0.169690
2021-09-11 13:29:16.691895 : Epoch  5, Batch   2517, Loss  0.828953, Average Loss  0.867916, Time  0.169669
2021-09-11 13:29:16.974178 : Epoch  5, Batch   1048, Loss  0.862118, Average Loss  0.869238, Time  0.237230
2021-09-11 13:29:18.313783 : Epoch  5, Batch   2518, Loss  0.871493, Average Loss  0.867819, Time  0.169816
2021-09-11 13:29:19.547138 : Epoch  5, Batch   1049, Loss  0.852593, Average Loss  0.869209, Time  0.237420
2021-09-11 13:29:19.958989 : Epoch  5, Batch   2519, Loss  0.882415, Average Loss  0.867936, Time  0.169750
2021-09-11 13:29:21.575990 : Epoch  5, Batch   2520, Loss  0.880284, Average Loss  0.868033, Time  0.169675
2021-09-11 13:29:22.144860 : Epoch  5, Batch   1050, Loss  0.870772, Average Loss  0.869203, Time  0.237297
2021-09-11 13:29:23.192005 : Epoch  5, Batch   2521, Loss  0.876853, Average Loss  0.868138, Time  0.171876
2021-09-11 13:29:24.719202 : Epoch  5, Batch   1051, Loss  0.875969, Average Loss  0.869238, Time  0.237076
2021-09-11 13:29:24.810739 : Epoch  5, Batch   2522, Loss  0.885890, Average Loss  0.868247, Time  0.169909
2021-09-11 13:29:26.435995 : Epoch  5, Batch   2523, Loss  0.854027, Average Loss  0.868209, Time  0.169874
2021-09-11 13:29:27.300757 : Epoch  5, Batch   1052, Loss  0.850541, Average Loss  0.869156, Time  0.237829
2021-09-11 13:29:28.053743 : Epoch  5, Batch   2524, Loss  0.894905, Average Loss  0.868371, Time  0.172091
2021-09-11 13:29:29.643022 : Epoch  5, Batch   2525, Loss  0.866342, Average Loss  0.868410, Time  0.170773
2021-09-11 13:29:29.890370 : Epoch  5, Batch   1053, Loss  0.874463, Average Loss  0.869207, Time  0.238611
2021-09-11 13:29:31.239038 : Epoch  5, Batch   2526, Loss  0.841871, Average Loss  0.868397, Time  0.181329
2021-09-11 13:29:32.478009 : Epoch  5, Batch   1054, Loss  0.872325, Average Loss  0.869230, Time  0.238233
2021-09-11 13:29:32.824991 : Epoch  5, Batch   2527, Loss  0.886846, Average Loss  0.868525, Time  0.169523
2021-09-11 13:29:34.443843 : Epoch  5, Batch   2528, Loss  0.863935, Average Loss  0.868508, Time  0.169873
2021-09-11 13:29:35.078138 : Epoch  5, Batch   1055, Loss  0.877832, Average Loss  0.869281, Time  0.237994
2021-09-11 13:29:36.068770 : Epoch  5, Batch   2529, Loss  0.903982, Average Loss  0.868586, Time  0.170026
2021-09-11 13:29:37.678002 : Epoch  5, Batch   2530, Loss  0.878613, Average Loss  0.868605, Time  0.169685
2021-09-11 13:29:37.681193 : Epoch  5, Batch   1056, Loss  0.888540, Average Loss  0.869384, Time  0.237184
2021-09-11 13:29:39.299999 : Epoch  5, Batch   2531, Loss  0.854575, Average Loss  0.868504, Time  0.170090
2021-09-11 13:29:40.313808 : Epoch  5, Batch   1057, Loss  0.864558, Average Loss  0.869305, Time  0.237618
2021-09-11 13:29:40.970997 : Epoch  5, Batch   2532, Loss  0.855295, Average Loss  0.868461, Time  0.169510
2021-09-11 13:29:42.598759 : Epoch  5, Batch   2533, Loss  0.854096, Average Loss  0.868424, Time  0.169783
2021-09-11 13:29:42.905707 : Epoch  5, Batch   1058, Loss  0.876661, Average Loss  0.869433, Time  0.238124
2021-09-11 13:29:44.224731 : Epoch  5, Batch   2534, Loss  0.868770, Average Loss  0.868597, Time  0.169937
2021-09-11 13:29:45.488359 : Epoch  5, Batch   1059, Loss  0.863798, Average Loss  0.869404, Time  0.239195
2021-09-11 13:29:45.854775 : Epoch  5, Batch   2535, Loss  0.877938, Average Loss  0.868616, Time  0.171597
2021-09-11 13:29:47.472804 : Epoch  5, Batch   2536, Loss  0.850572, Average Loss  0.868575, Time  0.170110
2021-09-11 13:29:48.060348 : Epoch  5, Batch   1060, Loss  0.869011, Average Loss  0.869415, Time  0.237135
2021-09-11 13:29:49.098995 : Epoch  5, Batch   2537, Loss  0.855507, Average Loss  0.868511, Time  0.169619
2021-09-11 13:29:50.658217 : Epoch  5, Batch   1061, Loss  0.858654, Average Loss  0.869375, Time  0.237600
2021-09-11 13:29:50.711797 : Epoch  5, Batch   2538, Loss  0.849538, Average Loss  0.868499, Time  0.169903
2021-09-11 13:29:52.336985 : Epoch  5, Batch   2539, Loss  0.877584, Average Loss  0.868547, Time  0.169754
2021-09-11 13:29:53.248050 : Epoch  5, Batch   1062, Loss  0.868256, Average Loss  0.869347, Time  0.238283
2021-09-11 13:29:53.959989 : Epoch  5, Batch   2540, Loss  0.860886, Average Loss  0.868554, Time  0.171659
2021-09-11 13:29:55.588001 : Epoch  5, Batch   2541, Loss  0.880416, Average Loss  0.868449, Time  0.170392
2021-09-11 13:29:55.842841 : Epoch  5, Batch   1063, Loss  0.841635, Average Loss  0.869242, Time  0.237413
2021-09-11 13:29:57.210000 : Epoch  5, Batch   2542, Loss  0.901056, Average Loss  0.868573, Time  0.169862
2021-09-11 13:29:58.453984 : Epoch  5, Batch   1064, Loss  0.858113, Average Loss  0.869179, Time  0.238653
2021-09-11 13:29:58.838858 : Epoch  5, Batch   2543, Loss  0.874467, Average Loss  0.868587, Time  0.169918
2021-09-11 13:30:00.453729 : Epoch  5, Batch   2544, Loss  0.865829, Average Loss  0.868705, Time  0.169778
2021-09-11 13:30:01.087934 : Epoch  5, Batch   1065, Loss  0.882417, Average Loss  0.869183, Time  0.237719
2021-09-11 13:30:02.068778 : Epoch  5, Batch   2545, Loss  0.857027, Average Loss  0.868632, Time  0.169940
2021-09-11 13:30:03.674745 : Epoch  5, Batch   2546, Loss  0.888657, Average Loss  0.868766, Time  0.169604
2021-09-11 13:30:05.313003 : Epoch  5, Batch   2547, Loss  0.876253, Average Loss  0.868719, Time  0.169726
2021-09-11 13:30:06.291893 : Epoch  5, Batch   1067, Loss  0.870972, Average Loss  0.869116, Time  0.237953
2021-09-11 13:30:06.931040 : Epoch  5, Batch   2548, Loss  0.854635, Average Loss  0.868658, Time  0.170837
2021-09-11 13:30:08.557012 : Epoch  5, Batch   2549, Loss  0.863916, Average Loss  0.868632, Time  0.170113
2021-09-11 13:30:08.876029 : Epoch  5, Batch   1068, Loss  0.875245, Average Loss  0.869025, Time  0.237759
2021-09-11 13:30:10.173922 : Epoch  5, Batch   2550, Loss  0.869417, Average Loss  0.868685, Time  0.169853
2021-09-11 13:30:11.478360 : Epoch  5, Batch   1069, Loss  0.881710, Average Loss  0.869097, Time  0.237349
2021-09-11 13:30:11.787846 : Epoch  5, Batch   2551, Loss  0.897661, Average Loss  0.868988, Time  0.169675
2021-09-11 13:30:13.407986 : Epoch  5, Batch   2552, Loss  0.838998, Average Loss  0.868889, Time  0.169911
2021-09-11 13:30:14.066858 : Epoch  5, Batch   1070, Loss  0.880147, Average Loss  0.869264, Time  0.237806
2021-09-11 13:30:15.015994 : Epoch  5, Batch   2553, Loss  0.889766, Average Loss  0.869051, Time  0.169397
2021-09-11 13:30:16.614994 : Epoch  5, Batch   2554, Loss  0.886665, Average Loss  0.869141, Time  0.169382
2021-09-11 13:30:16.677136 : Epoch  5, Batch   1071, Loss  0.858982, Average Loss  0.869108, Time  0.238436
2021-09-11 13:30:18.230000 : Epoch  5, Batch   2555, Loss  0.846496, Average Loss  0.869146, Time  0.169714
2021-09-11 13:30:19.321398 : Epoch  5, Batch   1072, Loss  0.881694, Average Loss  0.869271, Time  0.242717
2021-09-11 13:30:19.838995 : Epoch  5, Batch   2556, Loss  0.872975, Average Loss  0.869247, Time  0.171792
2021-09-11 13:30:21.925940 : Epoch  5, Batch   1073, Loss  0.849750, Average Loss  0.869211, Time  0.237702
2021-09-11 13:30:24.528958 : Epoch  5, Batch   1074, Loss  0.866303, Average Loss  0.869087, Time  0.238940
2021-09-11 13:30:27.128001 : Epoch  5, Batch   1075, Loss  0.875698, Average Loss  0.869097, Time  0.241043
2021-09-11 13:30:29.715080 : Epoch  5, Batch   1076, Loss  0.874959, Average Loss  0.869019, Time  0.239713
2021-09-11 13:34:33.246757 : CheckPoint: Validation Loss  0.00031156, Best Loss  0.00029019
2021-09-11 13:34:35.828346 : Epoch  5, Batch   1077, Loss  0.838416, Average Loss  0.868766, Time  0.238312
2021-09-11 13:34:38.416151 : Epoch  5, Batch   1078, Loss  0.858733, Average Loss  0.868692, Time  0.237373
2021-09-11 13:34:41.002951 : Epoch  5, Batch   1079, Loss  0.870211, Average Loss  0.868710, Time  0.237159
2021-09-11 13:34:43.616424 : Epoch  5, Batch   1080, Loss  0.861909, Average Loss  0.868616, Time  0.237690
2021-09-11 13:34:46.204956 : Epoch  5, Batch   1081, Loss  0.855482, Average Loss  0.868659, Time  0.239937
2021-09-11 13:34:48.792814 : Epoch  5, Batch   1082, Loss  0.858927, Average Loss  0.868660, Time  0.239026
2021-09-11 13:34:51.383795 : Epoch  5, Batch   1083, Loss  0.876645, Average Loss  0.868677, Time  0.241255
2021-09-11 13:34:53.978396 : Epoch  5, Batch   1084, Loss  0.868136, Average Loss  0.868579, Time  0.244239
2021-09-11 13:34:56.579869 : Epoch  5, Batch   1085, Loss  0.858937, Average Loss  0.868528, Time  0.237645
2021-09-11 13:34:59.117727 : CheckPoint: Validation Loss  0.00064342, Best Loss  0.00057296
2021-09-11 13:34:59.157418 : Epoch  5, Batch   1086, Loss  0.865833, Average Loss  0.868464, Time  0.237836
2021-09-11 13:35:00.733917 : Epoch  5, Batch   2557, Loss  0.856214, Average Loss  0.869057, Time  0.177572
2021-09-11 13:35:01.744827 : Epoch  5, Batch   1087, Loss  0.871192, Average Loss  0.868363, Time  0.237388
2021-09-11 13:35:02.350976 : Epoch  5, Batch   2558, Loss  0.864864, Average Loss  0.869119, Time  0.170488
2021-09-11 13:35:03.971972 : Epoch  5, Batch   2559, Loss  0.841178, Average Loss  0.868915, Time  0.169641
2021-09-11 13:35:04.346873 : Epoch  5, Batch   1088, Loss  0.845612, Average Loss  0.868120, Time  0.239381
2021-09-11 13:35:05.573912 : Epoch  5, Batch   2560, Loss  0.884059, Average Loss  0.869080, Time  0.169958
2021-09-11 13:35:06.927907 : Epoch  5, Batch   1089, Loss  0.852415, Average Loss  0.868032, Time  0.238214
2021-09-11 13:35:07.167999 : Epoch  5, Batch   2561, Loss  0.866838, Average Loss  0.869239, Time  0.170583
2021-09-11 13:35:08.750904 : Epoch  5, Batch   2562, Loss  0.864102, Average Loss  0.869177, Time  0.170450
2021-09-11 13:35:09.513411 : Epoch  5, Batch   1090, Loss  0.872568, Average Loss  0.867948, Time  0.238392
2021-09-11 13:35:10.344772 : Epoch  5, Batch   2563, Loss  0.872505, Average Loss  0.869295, Time  0.169656
2021-09-11 13:35:11.969032 : Epoch  5, Batch   2564, Loss  0.891102, Average Loss  0.869462, Time  0.175059
2021-09-11 13:35:12.099877 : Epoch  5, Batch   1091, Loss  0.878469, Average Loss  0.867982, Time  0.238607
2021-09-11 13:35:13.594025 : Epoch  5, Batch   2565, Loss  0.894226, Average Loss  0.869690, Time  0.187989
2021-09-11 13:35:14.701035 : Epoch  5, Batch   1092, Loss  0.898566, Average Loss  0.868040, Time  0.237436
2021-09-11 13:35:15.192949 : Epoch  5, Batch   2566, Loss  0.843052, Average Loss  0.869391, Time  0.172895
2021-09-11 13:35:16.794024 : Epoch  5, Batch   2567, Loss  0.885721, Average Loss  0.869405, Time  0.171823
2021-09-11 13:35:17.300370 : Epoch  5, Batch   1093, Loss  0.852438, Average Loss  0.867902, Time  0.237375
2021-09-11 13:35:18.444773 : Epoch  5, Batch   2568, Loss  0.839585, Average Loss  0.869185, Time  0.171365
2021-09-11 13:35:19.883597 : Epoch  5, Batch   1094, Loss  0.863864, Average Loss  0.867805, Time  0.238138
2021-09-11 13:35:20.052017 : Epoch  5, Batch   2569, Loss  0.885521, Average Loss  0.869316, Time  0.176111
2021-09-11 13:35:21.659029 : Epoch  5, Batch   2570, Loss  0.874709, Average Loss  0.869262, Time  0.170559
2021-09-11 13:35:22.477021 : Epoch  5, Batch   1095, Loss  0.895420, Average Loss  0.867989, Time  0.238236
2021-09-11 13:35:23.263021 : Epoch  5, Batch   2571, Loss  0.888200, Average Loss  0.869353, Time  0.171740
2021-09-11 13:35:24.872034 : Epoch  5, Batch   2572, Loss  0.866860, Average Loss  0.869292, Time  0.172792
2021-09-11 13:35:25.079422 : Epoch  5, Batch   1096, Loss  0.863033, Average Loss  0.868050, Time  0.238810
2021-09-11 13:35:26.468827 : Epoch  5, Batch   2573, Loss  0.863546, Average Loss  0.869331, Time  0.176477
2021-09-11 13:35:27.667350 : Epoch  5, Batch   1097, Loss  0.876804, Average Loss  0.868133, Time  0.237144
2021-09-11 13:35:28.096829 : Epoch  5, Batch   2574, Loss  0.894306, Average Loss  0.869254, Time  0.186224
2021-09-11 13:35:29.716027 : Epoch  5, Batch   2575, Loss  0.837841, Average Loss  0.869034, Time  0.169741
2021-09-11 13:35:30.249168 : Epoch  5, Batch   1098, Loss  0.867942, Average Loss  0.868132, Time  0.237514
2021-09-11 13:35:31.303032 : Epoch  5, Batch   2576, Loss  0.861839, Average Loss  0.869016, Time  0.169966
2021-09-11 13:35:32.836829 : Epoch  5, Batch   1099, Loss  0.862417, Average Loss  0.868068, Time  0.238431
2021-09-11 13:35:32.894984 : Epoch  5, Batch   2577, Loss  0.867324, Average Loss  0.868922, Time  0.169982
2021-09-11 13:35:34.522991 : Epoch  5, Batch   2578, Loss  0.853062, Average Loss  0.868878, Time  0.169670
2021-09-11 13:35:35.456397 : Epoch  5, Batch   1100, Loss  0.891319, Average Loss  0.868063, Time  0.238533
2021-09-11 13:35:36.133002 : Epoch  5, Batch   2579, Loss  0.869314, Average Loss  0.868996, Time  0.169866
2021-09-11 13:35:37.747984 : Epoch  5, Batch   2580, Loss  0.889368, Average Loss  0.869095, Time  0.172569
2021-09-11 13:35:38.043074 : Epoch  5, Batch   1101, Loss  0.858651, Average Loss  0.867946, Time  0.238096
2021-09-11 13:35:39.367982 : Epoch  5, Batch   2581, Loss  0.864608, Average Loss  0.868996, Time  0.172030
2021-09-11 13:35:40.624428 : Epoch  5, Batch   1102, Loss  0.855593, Average Loss  0.868013, Time  0.237327
2021-09-11 13:35:40.994978 : Epoch  5, Batch   2582, Loss  0.879043, Average Loss  0.869062, Time  0.169902
2021-09-11 13:35:42.625742 : Epoch  5, Batch   2583, Loss  0.835630, Average Loss  0.868864, Time  0.169727
2021-09-11 13:35:43.215900 : Epoch  5, Batch   1103, Loss  0.864711, Average Loss  0.868083, Time  0.237304
2021-09-11 13:35:44.227001 : Epoch  5, Batch   2584, Loss  0.863657, Average Loss  0.868823, Time  0.170095
2021-09-11 13:35:45.809406 : Epoch  5, Batch   1104, Loss  0.868005, Average Loss  0.868142, Time  0.238321
2021-09-11 13:35:45.839740 : Epoch  5, Batch   2585, Loss  0.879204, Average Loss  0.868901, Time  0.169711
2021-09-11 13:35:47.444030 : Epoch  5, Batch   2586, Loss  0.846274, Average Loss  0.868859, Time  0.181049
2021-09-11 13:35:48.400039 : Epoch  5, Batch   1105, Loss  0.865682, Average Loss  0.868159, Time  0.238007
2021-09-11 13:35:49.044029 : Epoch  5, Batch   2587, Loss  0.856564, Average Loss  0.868964, Time  0.174009
2021-09-11 13:35:50.635076 : Epoch  5, Batch   2588, Loss  0.870562, Average Loss  0.868956, Time  0.176319
2021-09-11 13:35:50.986853 : Epoch  5, Batch   1106, Loss  0.874279, Average Loss  0.868166, Time  0.238289
2021-09-11 13:35:52.262044 : Epoch  5, Batch   2589, Loss  0.855533, Average Loss  0.869047, Time  0.169989
2021-09-11 13:35:53.574145 : Epoch  5, Batch   1107, Loss  0.880899, Average Loss  0.868273, Time  0.239743
2021-09-11 13:35:53.866838 : Epoch  5, Batch   2590, Loss  0.865723, Average Loss  0.868976, Time  0.169759
2021-09-11 13:35:55.473025 : Epoch  5, Batch   2591, Loss  0.852809, Average Loss  0.868812, Time  0.170019
2021-09-11 13:35:56.156032 : Epoch  5, Batch   1108, Loss  0.876074, Average Loss  0.868253, Time  0.237700
2021-09-11 13:35:57.072018 : Epoch  5, Batch   2592, Loss  0.847984, Average Loss  0.868770, Time  0.170551
2021-09-11 13:35:58.668780 : Epoch  5, Batch   2593, Loss  0.897708, Average Loss  0.869029, Time  0.170720
2021-09-11 13:35:58.746891 : Epoch  5, Batch   1109, Loss  0.873549, Average Loss  0.868220, Time  0.237821
2021-09-11 13:36:00.329742 : Epoch  5, Batch   2594, Loss  0.876522, Average Loss  0.869119, Time  0.177768
2021-09-11 13:36:01.336859 : Epoch  5, Batch   1110, Loss  0.854544, Average Loss  0.868095, Time  0.237478
2021-09-11 13:36:01.929872 : Epoch  5, Batch   2595, Loss  0.878228, Average Loss  0.869141, Time  0.169956
2021-09-11 13:36:03.553988 : Epoch  5, Batch   2596, Loss  0.877268, Average Loss  0.869120, Time  0.169619
2021-09-11 13:36:03.930698 : Epoch  5, Batch   1111, Loss  0.879334, Average Loss  0.868195, Time  0.237087
2021-09-11 13:36:05.167842 : Epoch  5, Batch   2597, Loss  0.867483, Average Loss  0.869073, Time  0.169611
2021-09-11 13:36:06.519953 : Epoch  5, Batch   1112, Loss  0.866561, Average Loss  0.868157, Time  0.237575
2021-09-11 13:36:06.795862 : Epoch  5, Batch   2598, Loss  0.876787, Average Loss  0.869124, Time  0.169497
2021-09-11 13:36:08.427976 : Epoch  5, Batch   2599, Loss  0.841711, Average Loss  0.869094, Time  0.169645
2021-09-11 13:36:09.104389 : Epoch  5, Batch   1113, Loss  0.869396, Average Loss  0.868121, Time  0.237526
2021-09-11 13:36:10.050986 : Epoch  5, Batch   2600, Loss  0.881614, Average Loss  0.869092, Time  0.171969
2021-09-11 13:36:11.655032 : Epoch  5, Batch   2601, Loss  0.850073, Average Loss  0.869045, Time  0.170230
2021-09-11 13:36:11.705044 : Epoch  5, Batch   1114, Loss  0.877662, Average Loss  0.868128, Time  0.238741
2021-09-11 13:36:13.279015 : Epoch  5, Batch   2602, Loss  0.903115, Average Loss  0.869082, Time  0.179117
2021-09-11 13:36:14.296129 : Epoch  5, Batch   1115, Loss  0.864187, Average Loss  0.868123, Time  0.237849
2021-09-11 13:36:14.886859 : Epoch  5, Batch   2603, Loss  0.872966, Average Loss  0.868998, Time  0.180401
2021-09-11 13:36:16.499026 : Epoch  5, Batch   2604, Loss  0.871915, Average Loss  0.868825, Time  0.169339
2021-09-11 13:36:16.885602 : Epoch  5, Batch   1116, Loss  0.860958, Average Loss  0.868088, Time  0.237751
2021-09-11 13:36:18.117022 : Epoch  5, Batch   2605, Loss  0.873237, Average Loss  0.868841, Time  0.175903
2021-09-11 13:36:19.479188 : Epoch  5, Batch   1117, Loss  0.845706, Average Loss  0.867860, Time  0.238475
2021-09-11 13:36:19.728039 : Epoch  5, Batch   2606, Loss  0.848351, Average Loss  0.868688, Time  0.173800
2021-09-11 13:36:21.330023 : Epoch  5, Batch   2607, Loss  0.855280, Average Loss  0.868610, Time  0.173710
2021-09-11 13:36:22.070892 : Epoch  5, Batch   1118, Loss  0.875221, Average Loss  0.867915, Time  0.238752
2021-09-11 13:36:22.930038 : Epoch  5, Batch   2608, Loss  0.873239, Average Loss  0.868668, Time  0.172740
2021-09-11 13:36:24.526787 : Epoch  5, Batch   2609, Loss  0.890670, Average Loss  0.868883, Time  0.172057
2021-09-11 13:36:24.663456 : Epoch  5, Batch   1119, Loss  0.909743, Average Loss  0.868216, Time  0.238515
2021-09-11 13:36:26.154986 : Epoch  5, Batch   2610, Loss  0.888288, Average Loss  0.868971, Time  0.171995
2021-09-11 13:36:27.257893 : Epoch  5, Batch   1120, Loss  0.867389, Average Loss  0.868165, Time  0.241570
2021-09-11 13:36:27.764985 : Epoch  5, Batch   2611, Loss  0.854460, Average Loss  0.868767, Time  0.169859
2021-09-11 13:36:29.381748 : Epoch  5, Batch   2612, Loss  0.858647, Average Loss  0.868737, Time  0.169787
2021-09-11 13:36:29.844384 : Epoch  5, Batch   1121, Loss  0.854550, Average Loss  0.868221, Time  0.237522
2021-09-11 13:36:30.995783 : Epoch  5, Batch   2613, Loss  0.866207, Average Loss  0.868642, Time  0.170057
2021-09-11 13:36:32.427394 : Epoch  5, Batch   1122, Loss  0.859370, Average Loss  0.868152, Time  0.237821
2021-09-11 13:36:32.630977 : Epoch  5, Batch   2614, Loss  0.859879, Average Loss  0.868856, Time  0.169667
2021-09-11 13:36:34.223856 : Epoch  5, Batch   2615, Loss  0.872217, Average Loss  0.868765, Time  0.172779
2021-09-11 13:36:35.053807 : Epoch  5, Batch   1123, Loss  0.869789, Average Loss  0.868167, Time  0.237831
2021-09-11 13:36:35.840851 : Epoch  5, Batch   2616, Loss  0.872673, Average Loss  0.868758, Time  0.172221
2021-09-11 13:36:37.425845 : Epoch  5, Batch   2617, Loss  0.851339, Average Loss  0.868545, Time  0.172496
2021-09-11 13:36:37.672348 : Epoch  5, Batch   1124, Loss  0.867351, Average Loss  0.868266, Time  0.237544
2021-09-11 13:36:39.034992 : Epoch  5, Batch   2618, Loss  0.898045, Average Loss  0.868643, Time  0.169939
2021-09-11 13:36:40.289556 : Epoch  5, Batch   1125, Loss  0.874225, Average Loss  0.868321, Time  0.239328
2021-09-11 13:36:40.643990 : Epoch  5, Batch   2619, Loss  0.879560, Average Loss  0.868853, Time  0.169531
2021-09-11 13:36:42.267001 : Epoch  5, Batch   2620, Loss  0.903097, Average Loss  0.869170, Time  0.169694
2021-09-11 13:36:42.872514 : Epoch  5, Batch   1126, Loss  0.851037, Average Loss  0.868223, Time  0.237989
2021-09-11 13:36:43.886983 : Epoch  5, Batch   2621, Loss  0.870064, Average Loss  0.869280, Time  0.169789
2021-09-11 13:36:45.460091 : Epoch  5, Batch   1127, Loss  0.855722, Average Loss  0.868234, Time  0.237650
2021-09-11 13:36:45.509984 : Epoch  5, Batch   2622, Loss  0.848301, Average Loss  0.869019, Time  0.169776
2021-09-11 13:36:47.120032 : Epoch  5, Batch   2623, Loss  0.875411, Average Loss  0.869062, Time  0.170035
2021-09-11 13:36:48.043399 : Epoch  5, Batch   1128, Loss  0.859952, Average Loss  0.868180, Time  0.237347
2021-09-11 13:36:48.732729 : Epoch  5, Batch   2624, Loss  0.874848, Average Loss  0.869133, Time  0.171843
2021-09-11 13:36:50.343028 : Epoch  5, Batch   2625, Loss  0.870162, Average Loss  0.869214, Time  0.179727
2021-09-11 13:36:50.635387 : Epoch  5, Batch   1129, Loss  0.842911, Average Loss  0.868095, Time  0.237678
2021-09-11 13:36:51.976023 : Epoch  5, Batch   2626, Loss  0.859137, Average Loss  0.869174, Time  0.171881
2021-09-11 13:36:53.229158 : Epoch  5, Batch   1130, Loss  0.846225, Average Loss  0.867959, Time  0.237710
2021-09-11 13:36:53.580053 : Epoch  5, Batch   2627, Loss  0.885090, Average Loss  0.869257, Time  0.173584
2021-09-11 13:36:55.164802 : Epoch  5, Batch   2628, Loss  0.890989, Average Loss  0.869534, Time  0.169601
2021-09-11 13:36:55.843381 : Epoch  5, Batch   1131, Loss  0.847907, Average Loss  0.867853, Time  0.237215
2021-09-11 13:36:56.771924 : Epoch  5, Batch   2629, Loss  0.869386, Average Loss  0.869543, Time  0.169964
2021-09-11 13:36:58.386799 : Epoch  5, Batch   2630, Loss  0.886116, Average Loss  0.869630, Time  0.169864
2021-09-11 13:36:58.438076 : Epoch  5, Batch   1132, Loss  0.877598, Average Loss  0.867900, Time  0.238317
2021-09-11 13:37:00.007872 : Epoch  5, Batch   2631, Loss  0.879436, Average Loss  0.869853, Time  0.169506
2021-09-11 13:37:01.025372 : Epoch  5, Batch   1133, Loss  0.872541, Average Loss  0.867926, Time  0.237134
2021-09-11 13:37:01.667786 : Epoch  5, Batch   2632, Loss  0.863358, Average Loss  0.869781, Time  0.169795
2021-09-11 13:37:03.304886 : Epoch  5, Batch   2633, Loss  0.880550, Average Loss  0.869792, Time  0.169764
2021-09-11 13:37:03.606945 : Epoch  5, Batch   1134, Loss  0.880903, Average Loss  0.867947, Time  0.237573
2021-09-11 13:37:04.934984 : Epoch  5, Batch   2634, Loss  0.857424, Average Loss  0.869501, Time  0.169782
2021-09-11 13:37:06.183078 : Epoch  5, Batch   1135, Loss  0.898391, Average Loss  0.868117, Time  0.237513
2021-09-11 13:37:06.551761 : Epoch  5, Batch   2635, Loss  0.863276, Average Loss  0.869380, Time  0.169922
2021-09-11 13:37:08.146902 : Epoch  5, Batch   2636, Loss  0.848393, Average Loss  0.869323, Time  0.172780
2021-09-11 13:37:08.776614 : Epoch  5, Batch   1136, Loss  0.838246, Average Loss  0.867971, Time  0.237153
2021-09-11 13:37:09.742032 : Epoch  5, Batch   2637, Loss  0.880802, Average Loss  0.869479, Time  0.169583
2021-09-11 13:37:11.342020 : Epoch  5, Batch   2638, Loss  0.857176, Average Loss  0.869273, Time  0.172791
2021-09-11 13:37:11.353989 : Epoch  5, Batch   1137, Loss  0.893553, Average Loss  0.868111, Time  0.238033
2021-09-11 13:37:12.951740 : Epoch  5, Batch   2639, Loss  0.868490, Average Loss  0.869332, Time  0.170641
2021-09-11 13:37:13.971916 : Epoch  5, Batch   1138, Loss  0.844578, Average Loss  0.867964, Time  0.237725
2021-09-11 13:37:14.563034 : Epoch  5, Batch   2640, Loss  0.874263, Average Loss  0.869333, Time  0.169839
2021-09-11 13:37:16.157910 : Epoch  5, Batch   2641, Loss  0.898874, Average Loss  0.869548, Time  0.171942
2021-09-11 13:37:16.564919 : Epoch  5, Batch   1139, Loss  0.867800, Average Loss  0.868038, Time  0.241005
2021-09-11 13:37:17.813861 : Epoch  5, Batch   2642, Loss  0.876993, Average Loss  0.869454, Time  0.174040
2021-09-11 13:37:19.162042 : Epoch  5, Batch   1140, Loss  0.849086, Average Loss  0.867905, Time  0.238258
2021-09-11 13:37:19.410842 : Epoch  5, Batch   2643, Loss  0.881252, Average Loss  0.869488, Time  0.170287
2021-09-11 13:37:21.005036 : Epoch  5, Batch   2644, Loss  0.843014, Average Loss  0.869463, Time  0.173965
2021-09-11 13:37:21.752957 : Epoch  5, Batch   1141, Loss  0.883697, Average Loss  0.867987, Time  0.238434
2021-09-11 13:37:22.601853 : Epoch  5, Batch   2645, Loss  0.878268, Average Loss  0.869448, Time  0.173014
2021-09-11 13:37:24.216846 : Epoch  5, Batch   2646, Loss  0.886014, Average Loss  0.869712, Time  0.176506
2021-09-11 13:37:24.339837 : Epoch  5, Batch   1142, Loss  0.858803, Average Loss  0.867959, Time  0.238629
2021-09-11 13:37:25.820750 : Epoch  5, Batch   2647, Loss  0.854294, Average Loss  0.869572, Time  0.172639
2021-09-11 13:37:26.950107 : Epoch  5, Batch   1143, Loss  0.863759, Average Loss  0.868000, Time  0.238977
2021-09-11 13:37:27.408835 : Epoch  5, Batch   2648, Loss  0.864694, Average Loss  0.869643, Time  0.171999
2021-09-11 13:37:28.990987 : Epoch  5, Batch   2649, Loss  0.882658, Average Loss  0.869666, Time  0.169755
2021-09-11 13:37:29.547755 : Epoch  5, Batch   1144, Loss  0.864631, Average Loss  0.868040, Time  0.237901
2021-09-11 13:37:30.590757 : Epoch  5, Batch   2650, Loss  0.887669, Average Loss  0.869735, Time  0.169438
2021-09-11 13:37:32.135997 : Epoch  5, Batch   1145, Loss  0.888023, Average Loss  0.868114, Time  0.237748
2021-09-11 13:37:32.199000 : Epoch  5, Batch   2651, Loss  0.861332, Average Loss  0.869714, Time  0.169892
2021-09-11 13:37:33.817990 : Epoch  5, Batch   2652, Loss  0.851867, Average Loss  0.869568, Time  0.172014
2021-09-11 13:37:34.725959 : Epoch  5, Batch   1146, Loss  0.853187, Average Loss  0.868031, Time  0.240647
2021-09-11 13:37:35.414981 : Epoch  5, Batch   2653, Loss  0.881746, Average Loss  0.869709, Time  0.172385
2021-09-11 13:37:37.027991 : Epoch  5, Batch   2654, Loss  0.869608, Average Loss  0.869636, Time  0.169643
2021-09-11 13:37:37.313602 : Epoch  5, Batch   1147, Loss  0.857809, Average Loss  0.868007, Time  0.238435
2021-09-11 13:37:38.645839 : Epoch  5, Batch   2655, Loss  0.831682, Average Loss  0.869471, Time  0.171973
2021-09-11 13:37:39.893076 : Epoch  5, Batch   1148, Loss  0.873071, Average Loss  0.868093, Time  0.237883
2021-09-11 13:37:40.222931 : Epoch  5, Batch   2656, Loss  0.900990, Average Loss  0.869732, Time  0.169694
2021-09-11 13:37:42.485381 : Epoch  5, Batch   1149, Loss  0.875259, Average Loss  0.868114, Time  0.241168
2021-09-11 13:37:45.081393 : Epoch  5, Batch   1150, Loss  0.845127, Average Loss  0.868072, Time  0.237655
2021-09-11 13:37:47.664900 : Epoch  5, Batch   1151, Loss  0.874965, Average Loss  0.868129, Time  0.238411
2021-09-11 13:37:50.261518 : Epoch  5, Batch   1152, Loss  0.851115, Average Loss  0.868040, Time  0.237539
2021-09-11 13:37:52.849440 : Epoch  5, Batch   1153, Loss  0.861042, Average Loss  0.867916, Time  0.237755
2021-09-11 13:37:55.436977 : Epoch  5, Batch   1154, Loss  0.862159, Average Loss  0.867978, Time  0.237471
2021-09-11 13:37:58.015497 : Epoch  5, Batch   1155, Loss  0.869551, Average Loss  0.867999, Time  0.237224
2021-09-11 13:38:00.606786 : Epoch  5, Batch   1156, Loss  0.885296, Average Loss  0.868107, Time  0.237791
2021-09-11 13:38:03.202462 : Epoch  5, Batch   1157, Loss  0.868311, Average Loss  0.868033, Time  0.237673
2021-09-11 13:38:05.800258 : Epoch  5, Batch   1158, Loss  0.846164, Average Loss  0.867887, Time  0.245076
2021-09-11 13:38:08.387045 : Epoch  5, Batch   1159, Loss  0.871549, Average Loss  0.867865, Time  0.237499
2021-09-11 13:38:10.966766 : Epoch  5, Batch   1160, Loss  0.864682, Average Loss  0.867845, Time  0.237480
2021-09-11 13:38:13.577387 : Epoch  5, Batch   1161, Loss  0.882490, Average Loss  0.867902, Time  0.238082
2021-09-11 13:38:16.168855 : Epoch  5, Batch   1162, Loss  0.864725, Average Loss  0.867900, Time  0.238986
2021-09-11 13:38:18.753386 : Epoch  5, Batch   1163, Loss  0.861128, Average Loss  0.867811, Time  0.237559
2021-09-11 13:38:21.339927 : Epoch  5, Batch   1164, Loss  0.865979, Average Loss  0.867830, Time  0.238268
2021-09-11 13:38:23.931030 : Epoch  5, Batch   1165, Loss  0.872555, Average Loss  0.867781, Time  0.238610
2021-09-11 13:38:26.524447 : Epoch  5, Batch   1166, Loss  0.864031, Average Loss  0.867763, Time  0.238206
2021-09-11 13:38:29.112931 : Epoch  5, Batch   1167, Loss  0.885949, Average Loss  0.867840, Time  0.238453
2021-09-11 13:38:31.713028 : Epoch  5, Batch   1168, Loss  0.881474, Average Loss  0.867867, Time  0.238378
2021-09-11 13:38:34.295506 : Epoch  5, Batch   1169, Loss  0.868299, Average Loss  0.867828, Time  0.238477
2021-09-11 13:38:36.875830 : Epoch  5, Batch   1170, Loss  0.875312, Average Loss  0.867852, Time  0.237553
2021-09-11 13:38:39.465849 : Epoch  5, Batch   1171, Loss  0.863034, Average Loss  0.867804, Time  0.238468
2021-09-11 13:38:42.051986 : Epoch  5, Batch   1172, Loss  0.852668, Average Loss  0.867688, Time  0.237985
2021-09-11 13:38:44.639198 : Epoch  5, Batch   1173, Loss  0.864849, Average Loss  0.867693, Time  0.237574
2021-09-11 13:38:47.238823 : Epoch  5, Batch   1174, Loss  0.879411, Average Loss  0.867818, Time  0.239176
2021-09-11 13:38:49.838023 : Epoch  5, Batch   1175, Loss  0.838614, Average Loss  0.867678, Time  0.238194
2021-09-11 13:38:52.454701 : Epoch  5, Batch   1176, Loss  0.859923, Average Loss  0.867667, Time  0.237951
2021-09-11 13:42:21.153714 : CheckPoint: Validation Loss  0.00058560, Best Loss  0.00057296
2021-09-11 13:42:22.755830 : Epoch  5, Batch   2657, Loss  0.909092, Average Loss  0.869918, Time  0.183532
2021-09-11 13:42:24.368789 : Epoch  5, Batch   2658, Loss  0.848545, Average Loss  0.869896, Time  0.170705
2021-09-11 13:42:25.997765 : Epoch  5, Batch   2659, Loss  0.879324, Average Loss  0.869922, Time  0.185238
2021-09-11 13:42:27.614829 : Epoch  5, Batch   2660, Loss  0.868771, Average Loss  0.869964, Time  0.170279
2021-09-11 13:42:29.217750 : Epoch  5, Batch   2661, Loss  0.811556, Average Loss  0.869645, Time  0.176498
2021-09-11 13:42:30.807817 : Epoch  5, Batch   2662, Loss  0.867023, Average Loss  0.869648, Time  0.176086
2021-09-11 13:42:32.411748 : Epoch  5, Batch   2663, Loss  0.853891, Average Loss  0.869714, Time  0.169781
2021-09-11 13:42:34.026064 : Epoch  5, Batch   2664, Loss  0.859119, Average Loss  0.869783, Time  0.169872
2021-09-11 13:42:35.648793 : Epoch  5, Batch   2665, Loss  0.867089, Average Loss  0.869670, Time  0.170074
2021-09-11 13:42:37.267807 : Epoch  5, Batch   2666, Loss  0.871892, Average Loss  0.869888, Time  0.169908
2021-09-11 13:42:38.876993 : Epoch  5, Batch   2667, Loss  0.881122, Average Loss  0.869750, Time  0.169632
2021-09-11 13:42:40.479760 : Epoch  5, Batch   2668, Loss  0.903846, Average Loss  0.869657, Time  0.169897
2021-09-11 13:42:42.087777 : Epoch  5, Batch   2669, Loss  0.897119, Average Loss  0.869774, Time  0.169580
2021-09-11 13:42:43.684032 : Epoch  5, Batch   2670, Loss  0.874449, Average Loss  0.869874, Time  0.169753
2021-09-11 13:42:45.271000 : Epoch  5, Batch   2671, Loss  0.895924, Average Loss  0.870096, Time  0.169913
2021-09-11 13:42:46.884997 : Epoch  5, Batch   2672, Loss  0.846602, Average Loss  0.870013, Time  0.169885
2021-09-11 13:42:48.491992 : Epoch  5, Batch   2673, Loss  0.862700, Average Loss  0.869941, Time  0.169498
2021-09-11 13:42:50.102894 : Epoch  5, Batch   2674, Loss  0.854002, Average Loss  0.869762, Time  0.169918
2021-09-11 13:42:51.714782 : Epoch  5, Batch   2675, Loss  0.901973, Average Loss  0.869934, Time  0.169482
2021-09-11 13:42:53.331777 : Epoch  5, Batch   2676, Loss  0.837833, Average Loss  0.869769, Time  0.169811
2021-09-11 13:42:54.952763 : Epoch  5, Batch   2677, Loss  0.869306, Average Loss  0.869867, Time  0.169791
2021-09-11 13:42:54.963731 : CheckPoint: Validation Loss  0.00029703, Best Loss  0.00029019
2021-09-11 13:42:56.598762 : Epoch  5, Batch   2678, Loss  0.844810, Average Loss  0.869718, Time  0.170028
2021-09-11 13:42:57.620127 : Epoch  5, Batch   1177, Loss  0.844148, Average Loss  0.867524, Time  0.279746
2021-09-11 13:42:58.214758 : Epoch  5, Batch   2679, Loss  0.880985, Average Loss  0.869786, Time  0.169905
2021-09-11 13:42:59.838985 : Epoch  5, Batch   2680, Loss  0.858186, Average Loss  0.869712, Time  0.169814
2021-09-11 13:43:00.199023 : Epoch  5, Batch   1178, Loss  0.867167, Average Loss  0.867503, Time  0.244202
2021-09-11 13:43:01.451766 : Epoch  5, Batch   2681, Loss  0.903991, Average Loss  0.869894, Time  0.169473
2021-09-11 13:43:02.760058 : Epoch  5, Batch   1179, Loss  0.859515, Average Loss  0.867447, Time  0.238019
2021-09-11 13:43:03.069036 : Epoch  5, Batch   2682, Loss  0.869765, Average Loss  0.869954, Time  0.172422
2021-09-11 13:43:04.675759 : Epoch  5, Batch   2683, Loss  0.886434, Average Loss  0.870005, Time  0.180591
2021-09-11 13:43:05.323107 : Epoch  5, Batch   1180, Loss  0.888303, Average Loss  0.867509, Time  0.239043
2021-09-11 13:43:06.262865 : Epoch  5, Batch   2684, Loss  0.879459, Average Loss  0.869855, Time  0.172513
2021-09-11 13:43:07.869019 : Epoch  5, Batch   2685, Loss  0.867393, Average Loss  0.869907, Time  0.169962
2021-09-11 13:43:07.895939 : Epoch  5, Batch   1181, Loss  0.859209, Average Loss  0.867492, Time  0.240676
2021-09-11 13:43:09.496744 : Epoch  5, Batch   2686, Loss  0.874888, Average Loss  0.870001, Time  0.170108
2021-09-11 13:43:10.486407 : Epoch  5, Batch   1182, Loss  0.872228, Average Loss  0.867507, Time  0.237899
2021-09-11 13:43:11.111811 : Epoch  5, Batch   2687, Loss  0.865026, Average Loss  0.869899, Time  0.171849
2021-09-11 13:43:12.719835 : Epoch  5, Batch   2688, Loss  0.849081, Average Loss  0.869774, Time  0.172121
2021-09-11 13:43:13.059387 : Epoch  5, Batch   1183, Loss  0.860873, Average Loss  0.867448, Time  0.237743
2021-09-11 13:43:14.335774 : Epoch  5, Batch   2689, Loss  0.889178, Average Loss  0.869959, Time  0.169647
2021-09-11 13:43:15.628016 : Epoch  5, Batch   1184, Loss  0.868887, Average Loss  0.867456, Time  0.238877
2021-09-11 13:43:15.947996 : Epoch  5, Batch   2690, Loss  0.887421, Average Loss  0.870055, Time  0.170024
2021-09-11 13:43:17.582769 : Epoch  5, Batch   2691, Loss  0.874646, Average Loss  0.870123, Time  0.171957
2021-09-11 13:43:18.197806 : Epoch  5, Batch   1185, Loss  0.888556, Average Loss  0.867642, Time  0.238491
2021-09-11 13:43:19.196170 : Epoch  5, Batch   2692, Loss  0.872060, Average Loss  0.870070, Time  0.172155
2021-09-11 13:43:20.769894 : Epoch  5, Batch   1186, Loss  0.858428, Average Loss  0.867472, Time  0.238573
2021-09-11 13:43:22.410992 : Epoch  5, Batch   2694, Loss  0.838278, Average Loss  0.869931, Time  0.169739
2021-09-11 13:43:23.363088 : Epoch  5, Batch   1187, Loss  0.866821, Average Loss  0.867420, Time  0.238904
2021-09-11 13:43:24.033983 : Epoch  5, Batch   2695, Loss  0.869953, Average Loss  0.869918, Time  0.169357
2021-09-11 13:43:25.635748 : Epoch  5, Batch   2696, Loss  0.860887, Average Loss  0.869960, Time  0.169516
2021-09-11 13:43:25.930085 : Epoch  5, Batch   1188, Loss  0.859633, Average Loss  0.867463, Time  0.239879
2021-09-11 13:43:27.239023 : Epoch  5, Batch   2697, Loss  0.865514, Average Loss  0.869969, Time  0.172842
2021-09-11 13:43:28.514885 : Epoch  5, Batch   1189, Loss  0.860111, Average Loss  0.867510, Time  0.238674
2021-09-11 13:43:28.853751 : Epoch  5, Batch   2698, Loss  0.855333, Average Loss  0.869804, Time  0.170349
2021-09-11 13:43:30.454792 : Epoch  5, Batch   2699, Loss  0.872464, Average Loss  0.869800, Time  0.170358
2021-09-11 13:43:31.131097 : Epoch  5, Batch   1190, Loss  0.860689, Average Loss  0.867564, Time  0.238201
2021-09-11 13:43:32.038801 : Epoch  5, Batch   2700, Loss  0.871664, Average Loss  0.869868, Time  0.169878
2021-09-11 13:43:33.652998 : Epoch  5, Batch   2701, Loss  0.848694, Average Loss  0.869634, Time  0.169830
2021-09-11 13:43:33.701828 : Epoch  5, Batch   1191, Loss  0.872325, Average Loss  0.867639, Time  0.239451
2021-09-11 13:43:35.283775 : Epoch  5, Batch   2702, Loss  0.866778, Average Loss  0.869741, Time  0.170563
2021-09-11 13:43:36.278832 : Epoch  5, Batch   1192, Loss  0.877312, Average Loss  0.867742, Time  0.239239
2021-09-11 13:43:36.911817 : Epoch  5, Batch   2703, Loss  0.891894, Average Loss  0.869744, Time  0.169840
2021-09-11 13:43:38.527857 : Epoch  5, Batch   2704, Loss  0.842853, Average Loss  0.869728, Time  0.169578
2021-09-11 13:43:38.851897 : Epoch  5, Batch   1193, Loss  0.855222, Average Loss  0.867587, Time  0.237603
2021-09-11 13:43:40.133803 : Epoch  5, Batch   2705, Loss  0.894926, Average Loss  0.869831, Time  0.170140
2021-09-11 13:43:41.422877 : Epoch  5, Batch   1194, Loss  0.867582, Average Loss  0.867530, Time  0.237628
2021-09-11 13:43:41.739830 : Epoch  5, Batch   2706, Loss  0.883088, Average Loss  0.869897, Time  0.169877
2021-09-11 13:43:43.360813 : Epoch  5, Batch   2707, Loss  0.864490, Average Loss  0.869844, Time  0.169608
2021-09-11 13:43:43.999831 : Epoch  5, Batch   1195, Loss  0.888994, Average Loss  0.867635, Time  0.237642
2021-09-11 13:43:44.948778 : Epoch  5, Batch   2708, Loss  0.869891, Average Loss  0.869847, Time  0.170000
2021-09-11 13:43:46.563997 : Epoch  5, Batch   2709, Loss  0.897409, Average Loss  0.869958, Time  0.169800
2021-09-11 13:43:46.572989 : Epoch  5, Batch   1196, Loss  0.887994, Average Loss  0.867791, Time  0.237518
2021-09-11 13:43:48.175808 : Epoch  5, Batch   2710, Loss  0.892504, Average Loss  0.870063, Time  0.169618
2021-09-11 13:43:49.161610 : Epoch  5, Batch   1197, Loss  0.878839, Average Loss  0.867890, Time  0.238554
2021-09-11 13:43:49.788996 : Epoch  5, Batch   2711, Loss  0.855899, Average Loss  0.869941, Time  0.169639
2021-09-11 13:43:51.397857 : Epoch  5, Batch   2712, Loss  0.849468, Average Loss  0.869815, Time  0.169601
2021-09-11 13:43:51.746586 : Epoch  5, Batch   1198, Loss  0.865334, Average Loss  0.867751, Time  0.243313
2021-09-11 13:43:53.005863 : Epoch  5, Batch   2713, Loss  0.878340, Average Loss  0.869742, Time  0.170168
2021-09-11 13:43:54.331797 : Epoch  5, Batch   1199, Loss  0.877752, Average Loss  0.867759, Time  0.242883
2021-09-11 13:43:54.637807 : Epoch  5, Batch   2714, Loss  0.855662, Average Loss  0.869771, Time  0.169880
2021-09-11 13:43:56.243735 : Epoch  5, Batch   2715, Loss  0.878490, Average Loss  0.869890, Time  0.169515
2021-09-11 13:43:56.915771 : Epoch  5, Batch   1200, Loss  0.884116, Average Loss  0.867799, Time  0.245245
2021-09-11 13:43:57.842813 : Epoch  5, Batch   2716, Loss  0.854821, Average Loss  0.869827, Time  0.169796
2021-09-11 13:43:59.468747 : Epoch  5, Batch   2717, Loss  0.880297, Average Loss  0.870084, Time  0.169635
2021-09-11 13:43:59.509907 : Epoch  5, Batch   1201, Loss  0.855339, Average Loss  0.867630, Time  0.237801
2021-09-11 13:44:01.074768 : Epoch  5, Batch   2718, Loss  0.862981, Average Loss  0.870041, Time  0.170952
2021-09-11 13:44:02.098668 : Epoch  5, Batch   1202, Loss  0.862467, Average Loss  0.867605, Time  0.239790
2021-09-11 13:44:02.674732 : Epoch  5, Batch   2719, Loss  0.847179, Average Loss  0.869865, Time  0.169901
2021-09-11 13:44:04.293764 : Epoch  5, Batch   2720, Loss  0.852850, Average Loss  0.869728, Time  0.169655
2021-09-11 13:44:04.688873 : Epoch  5, Batch   1203, Loss  0.883208, Average Loss  0.867631, Time  0.238071
2021-09-11 13:44:05.901992 : Epoch  5, Batch   2721, Loss  0.848381, Average Loss  0.869585, Time  0.169742
2021-09-11 13:44:07.263392 : Epoch  5, Batch   1204, Loss  0.866609, Average Loss  0.867698, Time  0.238277
2021-09-11 13:44:07.530849 : Epoch  5, Batch   2722, Loss  0.846881, Average Loss  0.869390, Time  0.169795
2021-09-11 13:44:09.130780 : Epoch  5, Batch   2723, Loss  0.843223, Average Loss  0.869336, Time  0.169883
2021-09-11 13:44:09.853126 : Epoch  5, Batch   1205, Loss  0.854293, Average Loss  0.867672, Time  0.237636
2021-09-11 13:44:10.743029 : Epoch  5, Batch   2724, Loss  0.876580, Average Loss  0.869245, Time  0.173788
2021-09-11 13:44:12.358329 : Epoch  5, Batch   2725, Loss  0.847778, Average Loss  0.869152, Time  0.169930
2021-09-11 13:44:12.430434 : Epoch  5, Batch   1206, Loss  0.899116, Average Loss  0.867877, Time  0.240160
2021-09-11 13:44:13.966738 : Epoch  5, Batch   2726, Loss  0.913590, Average Loss  0.869511, Time  0.169675
2021-09-11 13:44:15.008019 : Epoch  5, Batch   1207, Loss  0.869962, Average Loss  0.867889, Time  0.238629
2021-09-11 13:44:15.581102 : Epoch  5, Batch   2727, Loss  0.869380, Average Loss  0.869423, Time  0.169679
2021-09-11 13:44:17.196761 : Epoch  5, Batch   2728, Loss  0.853610, Average Loss  0.869372, Time  0.169691
2021-09-11 13:44:17.601148 : Epoch  5, Batch   1208, Loss  0.873882, Average Loss  0.867935, Time  0.239743
2021-09-11 13:44:18.816814 : Epoch  5, Batch   2729, Loss  0.860974, Average Loss  0.869157, Time  0.169586
2021-09-11 13:44:20.173404 : Epoch  5, Batch   1209, Loss  0.848236, Average Loss  0.867818, Time  0.238520
2021-09-11 13:44:20.430026 : Epoch  5, Batch   2730, Loss  0.881377, Average Loss  0.869170, Time  0.169654
2021-09-11 13:44:22.057022 : Epoch  5, Batch   2731, Loss  0.870204, Average Loss  0.869249, Time  0.179940
2021-09-11 13:44:22.745551 : Epoch  5, Batch   1210, Loss  0.892561, Average Loss  0.867980, Time  0.237328
2021-09-11 13:44:23.672883 : Epoch  5, Batch   2732, Loss  0.867111, Average Loss  0.869308, Time  0.177533
2021-09-11 13:44:25.270978 : Epoch  5, Batch   2733, Loss  0.867480, Average Loss  0.869375, Time  0.169336
2021-09-11 13:44:25.322425 : Epoch  5, Batch   1211, Loss  0.869961, Average Loss  0.867948, Time  0.237951
2021-09-11 13:44:26.882826 : Epoch  5, Batch   2734, Loss  0.880348, Average Loss  0.869432, Time  0.169916
2021-09-11 13:44:27.902152 : Epoch  5, Batch   1212, Loss  0.857378, Average Loss  0.867835, Time  0.237563
2021-09-11 13:44:28.498990 : Epoch  5, Batch   2735, Loss  0.892670, Average Loss  0.869506, Time  0.169481
2021-09-11 13:44:30.116003 : Epoch  5, Batch   2736, Loss  0.867026, Average Loss  0.869588, Time  0.169643
2021-09-11 13:44:30.488394 : Epoch  5, Batch   1213, Loss  0.881441, Average Loss  0.867771, Time  0.237405
2021-09-11 13:44:31.732000 : Epoch  5, Batch   2737, Loss  0.868068, Average Loss  0.869651, Time  0.169483
2021-09-11 13:44:33.110038 : Epoch  5, Batch   1214, Loss  0.861581, Average Loss  0.867746, Time  0.245629
2021-09-11 13:44:33.352986 : Epoch  5, Batch   2738, Loss  0.870562, Average Loss  0.869756, Time  0.169810
2021-09-11 13:44:34.978735 : Epoch  5, Batch   2739, Loss  0.868371, Average Loss  0.869710, Time  0.169573
2021-09-11 13:44:35.684880 : Epoch  5, Batch   1215, Loss  0.869884, Average Loss  0.867818, Time  0.238381
2021-09-11 13:44:36.598983 : Epoch  5, Batch   2740, Loss  0.879557, Average Loss  0.869804, Time  0.169420
2021-09-11 13:44:38.206978 : Epoch  5, Batch   2741, Loss  0.858794, Average Loss  0.869695, Time  0.169808
2021-09-11 13:44:38.285611 : Epoch  5, Batch   1216, Loss  0.875338, Average Loss  0.867829, Time  0.238154
2021-09-11 13:44:39.782839 : Epoch  5, Batch   2742, Loss  0.882318, Average Loss  0.869602, Time  0.172553
2021-09-11 13:44:40.877501 : Epoch  5, Batch   1217, Loss  0.854487, Average Loss  0.867710, Time  0.237527
2021-09-11 13:44:41.374000 : Epoch  5, Batch   2743, Loss  0.890557, Average Loss  0.869682, Time  0.169561
2021-09-11 13:44:42.978836 : Epoch  5, Batch   2744, Loss  0.858897, Average Loss  0.869648, Time  0.170003
2021-09-11 13:44:43.455013 : Epoch  5, Batch   1218, Loss  0.865569, Average Loss  0.867669, Time  0.237640
2021-09-11 13:44:44.596808 : Epoch  5, Batch   2745, Loss  0.859598, Average Loss  0.869660, Time  0.170073
2021-09-11 13:44:46.024909 : Epoch  5, Batch   1219, Loss  0.901530, Average Loss  0.867839, Time  0.237820
2021-09-11 13:44:46.218979 : Epoch  5, Batch   2746, Loss  0.838077, Average Loss  0.869407, Time  0.169776
2021-09-11 13:44:47.823769 : Epoch  5, Batch   2747, Loss  0.876836, Average Loss  0.869410, Time  0.169828
2021-09-11 13:44:48.603602 : Epoch  5, Batch   1220, Loss  0.868396, Average Loss  0.867876, Time  0.238122
2021-09-11 13:44:49.433999 : Epoch  5, Batch   2748, Loss  0.902586, Average Loss  0.869650, Time  0.169774
2021-09-11 13:44:51.052003 : Epoch  5, Batch   2749, Loss  0.910507, Average Loss  0.869883, Time  0.169807
2021-09-11 13:44:51.177397 : Epoch  5, Batch   1221, Loss  0.863589, Average Loss  0.867868, Time  0.237746
2021-09-11 13:44:52.666000 : Epoch  5, Batch   2750, Loss  0.874726, Average Loss  0.869910, Time  0.169738
2021-09-11 13:44:53.748922 : Epoch  5, Batch   1222, Loss  0.860879, Average Loss  0.867804, Time  0.240137
2021-09-11 13:44:54.286734 : Epoch  5, Batch   2751, Loss  0.875173, Average Loss  0.869797, Time  0.169998
2021-09-11 13:44:55.888835 : Epoch  5, Batch   2752, Loss  0.876196, Average Loss  0.869983, Time  0.170712
2021-09-11 13:44:56.332517 : Epoch  5, Batch   1223, Loss  0.881786, Average Loss  0.867899, Time  0.238286
2021-09-11 13:44:57.498724 : Epoch  5, Batch   2753, Loss  0.870308, Average Loss  0.869886, Time  0.179652
2021-09-11 13:44:58.923877 : Epoch  5, Batch   1224, Loss  0.860205, Average Loss  0.867863, Time  0.237972
2021-09-11 13:44:59.124934 : Epoch  5, Batch   2754, Loss  0.869666, Average Loss  0.869801, Time  0.172122
2021-09-11 13:45:00.735000 : Epoch  5, Batch   2755, Loss  0.876679, Average Loss  0.869952, Time  0.169995
2021-09-11 13:45:01.502139 : Epoch  5, Batch   1225, Loss  0.889641, Average Loss  0.868039, Time  0.237808
2021-09-11 13:45:02.363759 : Epoch  5, Batch   2756, Loss  0.870267, Average Loss  0.869938, Time  0.169618
2021-09-11 13:45:04.106039 : Epoch  5, Batch   1226, Loss  0.873255, Average Loss  0.868060, Time  0.238332
2021-09-11 13:45:06.684091 : Epoch  5, Batch   1227, Loss  0.874509, Average Loss  0.868060, Time  0.238136
2021-09-11 13:45:09.271753 : Epoch  5, Batch   1228, Loss  0.845525, Average Loss  0.867934, Time  0.239333
2021-09-11 13:45:11.853954 : Epoch  5, Batch   1229, Loss  0.877674, Average Loss  0.867988, Time  0.237961
2021-09-11 13:45:14.438955 : Epoch  5, Batch   1230, Loss  0.850932, Average Loss  0.867921, Time  0.238518
2021-09-11 13:45:17.031026 : Epoch  5, Batch   1231, Loss  0.872282, Average Loss  0.867931, Time  0.240774
2021-09-11 13:45:19.628942 : Epoch  5, Batch   1232, Loss  0.843386, Average Loss  0.867929, Time  0.238921
2021-09-11 13:45:22.226040 : Epoch  5, Batch   1233, Loss  0.860032, Average Loss  0.867814, Time  0.242271
2021-09-11 13:45:24.812096 : Epoch  5, Batch   1234, Loss  0.881758, Average Loss  0.867865, Time  0.242687
2021-09-11 13:45:27.390034 : Epoch  5, Batch   1235, Loss  0.862732, Average Loss  0.867898, Time  0.238143
2021-09-11 13:45:29.989253 : Epoch  5, Batch   1236, Loss  0.885594, Average Loss  0.868007, Time  0.240184
2021-09-11 13:45:32.575956 : Epoch  5, Batch   1237, Loss  0.841752, Average Loss  0.867965, Time  0.240086
2021-09-11 13:45:35.148193 : Epoch  5, Batch   1238, Loss  0.887841, Average Loss  0.867989, Time  0.238630
2021-09-11 13:45:37.716877 : Epoch  5, Batch   1239, Loss  0.889914, Average Loss  0.868084, Time  0.239247
2021-09-11 13:45:40.292986 : Epoch  5, Batch   1240, Loss  0.848578, Average Loss  0.868000, Time  0.239980
2021-09-11 13:45:42.867258 : Epoch  5, Batch   1241, Loss  0.898406, Average Loss  0.868111, Time  0.238015
2021-09-11 13:45:45.431428 : Epoch  5, Batch   1242, Loss  0.872049, Average Loss  0.868024, Time  0.237253
2021-09-11 13:45:48.015385 : Epoch  5, Batch   1243, Loss  0.879881, Average Loss  0.868057, Time  0.237249
2021-09-11 13:45:50.592009 : Epoch  5, Batch   1244, Loss  0.881525, Average Loss  0.868017, Time  0.238703
2021-09-11 13:45:53.162925 : Epoch  5, Batch   1245, Loss  0.828131, Average Loss  0.867808, Time  0.239163
2021-09-11 13:45:55.729876 : Epoch  5, Batch   1246, Loss  0.862637, Average Loss  0.867796, Time  0.237961
2021-09-11 13:45:58.297024 : Epoch  5, Batch   1247, Loss  0.872695, Average Loss  0.867760, Time  0.238865
2021-09-11 13:46:00.870838 : Epoch  5, Batch   1248, Loss  0.872265, Average Loss  0.867811, Time  0.238298
2021-09-11 13:46:03.436542 : Epoch  5, Batch   1249, Loss  0.859072, Average Loss  0.867843, Time  0.238002
2021-09-11 13:46:06.010045 : Epoch  5, Batch   1250, Loss  0.870505, Average Loss  0.867842, Time  0.237677
2021-09-11 13:46:08.579207 : Epoch  5, Batch   1251, Loss  0.878899, Average Loss  0.867856, Time  0.237608
2021-09-11 13:46:11.152866 : Epoch  5, Batch   1252, Loss  0.888038, Average Loss  0.868044, Time  0.237667
2021-09-11 13:46:13.722075 : Epoch  5, Batch   1253, Loss  0.883276, Average Loss  0.868088, Time  0.237509
2021-09-11 13:46:16.288027 : Epoch  5, Batch   1254, Loss  0.888612, Average Loss  0.868169, Time  0.237675
2021-09-11 13:46:18.855941 : Epoch  5, Batch   1255, Loss  0.874202, Average Loss  0.868151, Time  0.240030
2021-09-11 13:46:21.428625 : Epoch  5, Batch   1256, Loss  0.850503, Average Loss  0.867961, Time  0.238650
2021-09-11 13:46:24.005914 : Epoch  5, Batch   1257, Loss  0.866749, Average Loss  0.867972, Time  0.238647
2021-09-11 13:46:26.576034 : Epoch  5, Batch   1258, Loss  0.863857, Average Loss  0.867908, Time  0.237979
2021-09-11 13:46:29.152265 : Epoch  5, Batch   1259, Loss  0.891275, Average Loss  0.868045, Time  0.239140
2021-09-11 13:46:31.718904 : Epoch  5, Batch   1260, Loss  0.866493, Average Loss  0.868033, Time  0.237728
2021-09-11 13:46:34.285586 : Epoch  5, Batch   1261, Loss  0.893092, Average Loss  0.868205, Time  0.238571
2021-09-11 13:46:36.871865 : Epoch  5, Batch   1262, Loss  0.880084, Average Loss  0.868264, Time  0.239033
2021-09-11 13:46:39.437846 : Epoch  5, Batch   1263, Loss  0.874884, Average Loss  0.868430, Time  0.240012
2021-09-11 13:46:42.016827 : Epoch  5, Batch   1264, Loss  0.848595, Average Loss  0.868383, Time  0.244389
2021-09-11 13:46:44.599963 : Epoch  5, Batch   1265, Loss  0.882504, Average Loss  0.868383, Time  0.239282
2021-09-11 13:46:47.183236 : Epoch  5, Batch   1266, Loss  0.877306, Average Loss  0.868490, Time  0.238944
2021-09-11 13:46:49.766829 : Epoch  5, Batch   1267, Loss  0.864269, Average Loss  0.868456, Time  0.240952
2021-09-11 13:46:52.343367 : Epoch  5, Batch   1268, Loss  0.887043, Average Loss  0.868515, Time  0.237542
2021-09-11 13:46:54.919843 : Epoch  5, Batch   1269, Loss  0.854346, Average Loss  0.868378, Time  0.238698
2021-09-11 13:46:57.488141 : Epoch  5, Batch   1270, Loss  0.862073, Average Loss  0.868288, Time  0.238762
2021-09-11 13:47:00.061800 : Epoch  5, Batch   1271, Loss  0.883611, Average Loss  0.868411, Time  0.238556
2021-09-11 13:47:02.634292 : Epoch  5, Batch   1272, Loss  0.850836, Average Loss  0.868257, Time  0.238010
2021-09-11 13:47:05.209932 : Epoch  5, Batch   1273, Loss  0.877180, Average Loss  0.868394, Time  0.241765
2021-09-11 13:47:07.781375 : Epoch  5, Batch   1274, Loss  0.869560, Average Loss  0.868410, Time  0.237150
2021-09-11 13:47:10.345930 : Epoch  5, Batch   1275, Loss  0.884469, Average Loss  0.868454, Time  0.237397
2021-09-11 13:47:12.916379 : Epoch  5, Batch   1276, Loss  0.867693, Average Loss  0.868418, Time  0.240251
2021-09-11 13:49:44.138740 : CheckPoint: Validation Loss  0.00060776, Best Loss  0.00057296
2021-09-11 13:49:45.745776 : Epoch  5, Batch   2757, Loss  0.895961, Average Loss  0.870137, Time  0.180933
2021-09-11 13:49:47.346765 : Epoch  5, Batch   2758, Loss  0.867651, Average Loss  0.870151, Time  0.176070
2021-09-11 13:49:48.940903 : Epoch  5, Batch   2759, Loss  0.884922, Average Loss  0.870370, Time  0.169873
2021-09-11 13:49:50.564772 : Epoch  5, Batch   2760, Loss  0.860679, Average Loss  0.870253, Time  0.169735
2021-09-11 13:49:52.184972 : Epoch  5, Batch   2761, Loss  0.869275, Average Loss  0.870265, Time  0.169498
2021-09-11 13:49:53.801997 : Epoch  5, Batch   2762, Loss  0.869376, Average Loss  0.870291, Time  0.169620
2021-09-11 13:49:55.421781 : Epoch  5, Batch   2763, Loss  0.878181, Average Loss  0.870320, Time  0.169807
2021-09-11 13:49:57.044000 : Epoch  5, Batch   2764, Loss  0.855439, Average Loss  0.870141, Time  0.169859
2021-09-11 13:49:58.676762 : Epoch  5, Batch   2765, Loss  0.878834, Average Loss  0.870064, Time  0.170146
2021-09-11 13:50:00.300745 : Epoch  5, Batch   2766, Loss  0.877544, Average Loss  0.870237, Time  0.171905
2021-09-11 13:50:01.924981 : Epoch  5, Batch   2767, Loss  0.927019, Average Loss  0.870443, Time  0.169769
2021-09-11 13:50:03.550769 : Epoch  5, Batch   2768, Loss  0.894768, Average Loss  0.870719, Time  0.169781
2021-09-11 13:50:05.175748 : Epoch  5, Batch   2769, Loss  0.833863, Average Loss  0.870461, Time  0.172640
2021-09-11 13:50:06.790000 : Epoch  5, Batch   2770, Loss  0.888420, Average Loss  0.870530, Time  0.169834
2021-09-11 13:50:08.390996 : Epoch  5, Batch   2771, Loss  0.871773, Average Loss  0.870447, Time  0.169528
2021-09-11 13:50:10.007984 : Epoch  5, Batch   2772, Loss  0.877720, Average Loss  0.870502, Time  0.169824
2021-09-11 13:50:11.619981 : Epoch  5, Batch   2773, Loss  0.866311, Average Loss  0.870516, Time  0.169605
2021-09-11 13:50:13.214032 : Epoch  5, Batch   2774, Loss  0.872534, Average Loss  0.870407, Time  0.173214
2021-09-11 13:50:14.819031 : Epoch  5, Batch   2775, Loss  0.866131, Average Loss  0.870548, Time  0.175014
2021-09-11 13:50:16.419030 : Epoch  5, Batch   2776, Loss  0.856109, Average Loss  0.870519, Time  0.175275
2021-09-11 13:50:18.019799 : Epoch  5, Batch   2777, Loss  0.853802, Average Loss  0.870452, Time  0.169750
2021-09-11 13:50:19.640995 : Epoch  5, Batch   2778, Loss  0.844286, Average Loss  0.870408, Time  0.170022
2021-09-11 13:50:21.256987 : Epoch  5, Batch   2779, Loss  0.874989, Average Loss  0.870436, Time  0.169668
2021-09-11 13:50:22.883003 : Epoch  5, Batch   2780, Loss  0.873514, Average Loss  0.870357, Time  0.169606
2021-09-11 13:50:24.504795 : Epoch  5, Batch   2781, Loss  0.886297, Average Loss  0.870466, Time  0.169914
2021-09-11 13:50:26.136034 : Epoch  5, Batch   2782, Loss  0.871026, Average Loss  0.870425, Time  0.170113
2021-09-11 13:50:27.755816 : Epoch  5, Batch   2783, Loss  0.864007, Average Loss  0.870567, Time  0.169895
2021-09-11 13:50:29.349145 : Epoch  5, Batch   2784, Loss  0.878200, Average Loss  0.870640, Time  0.169585
2021-09-11 13:50:30.934758 : Epoch  5, Batch   2785, Loss  0.871925, Average Loss  0.870604, Time  0.170093
2021-09-11 13:50:32.554799 : Epoch  5, Batch   2786, Loss  0.900851, Average Loss  0.870877, Time  0.172985
2021-09-11 13:50:34.168837 : Epoch  5, Batch   2787, Loss  0.888980, Average Loss  0.871039, Time  0.173151
2021-09-11 13:50:35.777038 : Epoch  5, Batch   2788, Loss  0.887187, Average Loss  0.871122, Time  0.178869
2021-09-11 13:50:37.374026 : Epoch  5, Batch   2789, Loss  0.869198, Average Loss  0.871190, Time  0.169820
2021-09-11 13:50:38.984027 : Epoch  5, Batch   2790, Loss  0.847537, Average Loss  0.871099, Time  0.176526
2021-09-11 13:50:40.588848 : Epoch  5, Batch   2791, Loss  0.850995, Average Loss  0.871090, Time  0.172305
2021-09-11 13:50:42.192753 : Epoch  5, Batch   2792, Loss  0.869287, Average Loss  0.871197, Time  0.173573
2021-09-11 13:50:43.790847 : Epoch  5, Batch   2793, Loss  0.871295, Average Loss  0.871065, Time  0.172495
2021-09-11 13:50:45.374410 : Epoch  5, Batch   2794, Loss  0.875301, Average Loss  0.871058, Time  0.169947
2021-09-11 13:50:46.977027 : Epoch  5, Batch   2795, Loss  0.872185, Average Loss  0.871028, Time  0.174009
2021-09-11 13:50:48.573815 : Epoch  5, Batch   2796, Loss  0.896296, Average Loss  0.871123, Time  0.173963
2021-09-11 13:50:50.178869 : Epoch  5, Batch   2797, Loss  0.864465, Average Loss  0.871108, Time  0.169514
2021-09-11 13:50:51.784996 : Epoch  5, Batch   2798, Loss  0.835970, Average Loss  0.870904, Time  0.169439
2021-09-11 13:50:53.409786 : Epoch  5, Batch   2799, Loss  0.876562, Average Loss  0.871078, Time  0.170028
2021-09-11 13:50:55.035900 : Epoch  5, Batch   2800, Loss  0.887720, Average Loss  0.871109, Time  0.169988
2021-09-11 13:50:56.660822 : Epoch  5, Batch   2801, Loss  0.857288, Average Loss  0.871145, Time  0.171923
2021-09-11 13:50:58.277846 : Epoch  5, Batch   2802, Loss  0.894397, Average Loss  0.871101, Time  0.169516
2021-09-11 13:50:59.893783 : Epoch  5, Batch   2803, Loss  0.888650, Average Loss  0.871180, Time  0.169604
2021-09-11 13:51:01.516003 : Epoch  5, Batch   2804, Loss  0.879118, Average Loss  0.871216, Time  0.169591
2021-09-11 13:51:03.120838 : Epoch  5, Batch   2805, Loss  0.876946, Average Loss  0.871234, Time  0.169746
2021-09-11 13:51:04.753807 : Epoch  5, Batch   2806, Loss  0.864613, Average Loss  0.871316, Time  0.169970
2021-09-11 13:51:06.372756 : Epoch  5, Batch   2807, Loss  0.887720, Average Loss  0.871478, Time  0.169661
2021-09-11 13:51:07.988040 : Epoch  5, Batch   2808, Loss  0.885230, Average Loss  0.871538, Time  0.169516
2021-09-11 13:51:09.585840 : Epoch  5, Batch   2809, Loss  0.850611, Average Loss  0.871338, Time  0.172043
2021-09-11 13:51:11.184741 : Epoch  5, Batch   2810, Loss  0.865324, Average Loss  0.871223, Time  0.169912
2021-09-11 13:51:12.797029 : Epoch  5, Batch   2811, Loss  0.864161, Average Loss  0.871271, Time  0.176273
2021-09-11 13:51:14.428743 : Epoch  5, Batch   2812, Loss  0.872231, Average Loss  0.871339, Time  0.178345
2021-09-11 13:51:14.708743 : CheckPoint: Validation Loss  0.00029741, Best Loss  0.00029019
2021-09-11 13:51:16.046033 : Epoch  5, Batch   2813, Loss  0.858703, Average Loss  0.871302, Time  0.169858
2021-09-11 13:51:17.291071 : Epoch  5, Batch   1277, Loss  0.850656, Average Loss  0.868479, Time  0.238603
2021-09-11 13:51:17.649774 : Epoch  5, Batch   2814, Loss  0.884598, Average Loss  0.871425, Time  0.176439
2021-09-11 13:51:19.257033 : Epoch  5, Batch   2815, Loss  0.871834, Average Loss  0.871423, Time  0.173935
2021-09-11 13:51:19.868910 : Epoch  5, Batch   1278, Loss  0.885007, Average Loss  0.868610, Time  0.239065
2021-09-11 13:51:20.860820 : Epoch  5, Batch   2816, Loss  0.872374, Average Loss  0.871422, Time  0.169659
2021-09-11 13:51:22.438926 : Epoch  5, Batch   1279, Loss  0.864162, Average Loss  0.868580, Time  0.238398
2021-09-11 13:51:22.483730 : Epoch  5, Batch   2817, Loss  0.868207, Average Loss  0.871506, Time  0.170046
2021-09-11 13:51:24.095939 : Epoch  5, Batch   2818, Loss  0.866543, Average Loss  0.871349, Time  0.169865
2021-09-11 13:51:25.016959 : Epoch  5, Batch   1280, Loss  0.884858, Average Loss  0.868695, Time  0.237605
2021-09-11 13:51:25.715902 : Epoch  5, Batch   2819, Loss  0.889773, Average Loss  0.871400, Time  0.169822
2021-09-11 13:51:27.340784 : Epoch  5, Batch   2820, Loss  0.850310, Average Loss  0.871136, Time  0.169992
2021-09-11 13:51:27.597114 : Epoch  5, Batch   1281, Loss  0.861560, Average Loss  0.868725, Time  0.237670
2021-09-11 13:51:28.967035 : Epoch  5, Batch   2821, Loss  0.886434, Average Loss  0.871218, Time  0.169892
2021-09-11 13:51:30.159782 : Epoch  5, Batch   1282, Loss  0.883321, Average Loss  0.868847, Time  0.239171
2021-09-11 13:51:30.602770 : Epoch  5, Batch   2822, Loss  0.856671, Average Loss  0.871260, Time  0.172828
2021-09-11 13:51:32.227013 : Epoch  5, Batch   2823, Loss  0.879206, Average Loss  0.871279, Time  0.173592
2021-09-11 13:51:32.734007 : Epoch  5, Batch   1283, Loss  0.876165, Average Loss  0.868845, Time  0.237521
2021-09-11 13:51:33.821730 : Epoch  5, Batch   2824, Loss  0.860982, Average Loss  0.871209, Time  0.170821
2021-09-11 13:51:35.309075 : Epoch  5, Batch   1284, Loss  0.880095, Average Loss  0.868905, Time  0.237928
2021-09-11 13:51:35.409743 : Epoch  5, Batch   2825, Loss  0.829836, Average Loss  0.871008, Time  0.171462
2021-09-11 13:51:37.011741 : Epoch  5, Batch   2826, Loss  0.873843, Average Loss  0.871081, Time  0.170178
2021-09-11 13:51:37.890953 : Epoch  5, Batch   1285, Loss  0.886936, Average Loss  0.869045, Time  0.238070
2021-09-11 13:51:38.627783 : Epoch  5, Batch   2827, Loss  0.837467, Average Loss  0.870843, Time  0.173428
2021-09-11 13:51:40.229853 : Epoch  5, Batch   2828, Loss  0.863482, Average Loss  0.870705, Time  0.170614
2021-09-11 13:51:40.466389 : Epoch  5, Batch   1286, Loss  0.882534, Average Loss  0.869128, Time  0.238597
2021-09-11 13:51:41.837759 : Epoch  5, Batch   2829, Loss  0.857889, Average Loss  0.870648, Time  0.170956
2021-09-11 13:51:43.040811 : Epoch  5, Batch   1287, Loss  0.871107, Average Loss  0.869128, Time  0.240400
2021-09-11 13:51:43.440802 : Epoch  5, Batch   2830, Loss  0.852517, Average Loss  0.870480, Time  0.176079
2021-09-11 13:51:45.042797 : Epoch  5, Batch   2831, Loss  0.864696, Average Loss  0.870406, Time  0.169966
2021-09-11 13:51:45.612958 : Epoch  5, Batch   1288, Loss  0.876903, Average Loss  0.869284, Time  0.237558
2021-09-11 13:51:46.661770 : Epoch  5, Batch   2832, Loss  0.858693, Average Loss  0.870383, Time  0.172248
2021-09-11 13:51:48.185744 : Epoch  5, Batch   1289, Loss  0.844904, Average Loss  0.869247, Time  0.237725
2021-09-11 13:51:48.230791 : Epoch  5, Batch   2833, Loss  0.861797, Average Loss  0.870289, Time  0.169994
2021-09-11 13:51:49.821770 : Epoch  5, Batch   2834, Loss  0.846684, Average Loss  0.870235, Time  0.174899
2021-09-11 13:51:50.759975 : Epoch  5, Batch   1290, Loss  0.861304, Average Loss  0.869190, Time  0.238996
2021-09-11 13:51:51.420027 : Epoch  5, Batch   2835, Loss  0.894751, Average Loss  0.870393, Time  0.170303
2021-09-11 13:51:53.030728 : Epoch  5, Batch   2836, Loss  0.864409, Average Loss  0.870473, Time  0.171995
2021-09-11 13:51:53.335810 : Epoch  5, Batch   1291, Loss  0.862835, Average Loss  0.869112, Time  0.239575
2021-09-11 13:51:54.655017 : Epoch  5, Batch   2837, Loss  0.833758, Average Loss  0.870238, Time  0.169967
2021-09-11 13:51:55.911908 : Epoch  5, Batch   1292, Loss  0.875840, Average Loss  0.868999, Time  0.238002
2021-09-11 13:51:56.234029 : Epoch  5, Batch   2838, Loss  0.900198, Average Loss  0.870453, Time  0.175295
2021-09-11 13:51:57.823839 : Epoch  5, Batch   2839, Loss  0.886522, Average Loss  0.870543, Time  0.169767
2021-09-11 13:51:58.492119 : Epoch  5, Batch   1293, Loss  0.877557, Average Loss  0.869124, Time  0.237608
2021-09-11 13:51:59.471747 : Epoch  5, Batch   2840, Loss  0.892670, Average Loss  0.870635, Time  0.172715
2021-09-11 13:52:01.101796 : Epoch  5, Batch   2841, Loss  0.874666, Average Loss  0.870514, Time  0.169820
2021-09-11 13:52:02.745782 : Epoch  5, Batch   2842, Loss  0.873673, Average Loss  0.870497, Time  0.170064
2021-09-11 13:52:03.672020 : Epoch  5, Batch   1295, Loss  0.887615, Average Loss  0.869146, Time  0.238350
2021-09-11 13:52:04.365775 : Epoch  5, Batch   2843, Loss  0.874424, Average Loss  0.870463, Time  0.169539
2021-09-11 13:52:05.989737 : Epoch  5, Batch   2844, Loss  0.830354, Average Loss  0.870400, Time  0.169900
2021-09-11 13:52:06.269832 : Epoch  5, Batch   1296, Loss  0.874987, Average Loss  0.869206, Time  0.240760
2021-09-11 13:52:07.608979 : Epoch  5, Batch   2845, Loss  0.854266, Average Loss  0.870280, Time  0.171967
2021-09-11 13:52:08.846932 : Epoch  5, Batch   1297, Loss  0.868768, Average Loss  0.869166, Time  0.237521
2021-09-11 13:52:09.226691 : Epoch  5, Batch   2846, Loss  0.851985, Average Loss  0.870110, Time  0.170738
2021-09-11 13:52:10.824786 : Epoch  5, Batch   2847, Loss  0.827090, Average Loss  0.869974, Time  0.169405
2021-09-11 13:52:11.425874 : Epoch  5, Batch   1298, Loss  0.868079, Average Loss  0.869166, Time  0.237339
2021-09-11 13:52:12.437730 : Epoch  5, Batch   2848, Loss  0.890740, Average Loss  0.870104, Time  0.169872
2021-09-11 13:52:13.999989 : Epoch  5, Batch   1299, Loss  0.873134, Average Loss  0.869220, Time  0.237354
2021-09-11 13:52:14.050761 : Epoch  5, Batch   2849, Loss  0.866498, Average Loss  0.870023, Time  0.169655
2021-09-11 13:52:15.672732 : Epoch  5, Batch   2850, Loss  0.879795, Average Loss  0.869984, Time  0.169890
2021-09-11 13:52:16.581372 : Epoch  5, Batch   1300, Loss  0.862185, Average Loss  0.869074, Time  0.237419
2021-09-11 13:52:17.262774 : Epoch  5, Batch   2851, Loss  0.861365, Average Loss  0.869984, Time  0.169663
2021-09-11 13:52:18.870746 : Epoch  5, Batch   2852, Loss  0.856548, Average Loss  0.870007, Time  0.174766
2021-09-11 13:52:19.166111 : Epoch  5, Batch   1301, Loss  0.874760, Average Loss  0.869155, Time  0.237350
2021-09-11 13:52:20.491742 : Epoch  5, Batch   2853, Loss  0.856339, Average Loss  0.869880, Time  0.179848
2021-09-11 13:52:21.738366 : Epoch  5, Batch   1302, Loss  0.886835, Average Loss  0.869311, Time  0.239341
2021-09-11 13:52:22.088802 : Epoch  5, Batch   2854, Loss  0.863430, Average Loss  0.869849, Time  0.170775
2021-09-11 13:52:23.670996 : Epoch  5, Batch   2855, Loss  0.881278, Average Loss  0.870097, Time  0.169830
2021-09-11 13:52:24.311484 : Epoch  5, Batch   1303, Loss  0.867830, Average Loss  0.869327, Time  0.238811
2021-09-11 13:52:25.292845 : Epoch  5, Batch   2856, Loss  0.874738, Average Loss  0.869966, Time  0.169584
2021-09-11 13:52:26.894935 : Epoch  5, Batch   1304, Loss  0.877174, Average Loss  0.869373, Time  0.238078
2021-09-11 13:52:29.476870 : Epoch  5, Batch   1305, Loss  0.865361, Average Loss  0.869371, Time  0.237687
2021-09-11 13:52:32.057103 : Epoch  5, Batch   1306, Loss  0.862542, Average Loss  0.869312, Time  0.238427
2021-09-11 13:52:34.632998 : Epoch  5, Batch   1307, Loss  0.883845, Average Loss  0.869327, Time  0.239051
2021-09-11 13:52:37.213963 : Epoch  5, Batch   1308, Loss  0.875133, Average Loss  0.869322, Time  0.237824
2021-09-11 13:52:39.796936 : Epoch  5, Batch   1309, Loss  0.864506, Average Loss  0.869277, Time  0.238179
2021-09-11 13:52:42.437858 : Epoch  5, Batch   1310, Loss  0.854868, Average Loss  0.869279, Time  0.238453
2021-09-11 13:52:45.018922 : Epoch  5, Batch   1311, Loss  0.880012, Average Loss  0.869282, Time  0.237437
2021-09-11 13:52:47.589917 : Epoch  5, Batch   1312, Loss  0.862523, Average Loss  0.869262, Time  0.237669
2021-09-11 13:52:50.166673 : Epoch  5, Batch   1313, Loss  0.898185, Average Loss  0.869406, Time  0.239080
2021-09-11 13:52:52.733041 : Epoch  5, Batch   1314, Loss  0.866360, Average Loss  0.869349, Time  0.237273
2021-09-11 13:52:55.296889 : Epoch  5, Batch   1315, Loss  0.862439, Average Loss  0.869341, Time  0.237621
2021-09-11 13:52:57.867003 : Epoch  5, Batch   1316, Loss  0.866194, Average Loss  0.869367, Time  0.237741
2021-09-11 13:53:00.431998 : Epoch  5, Batch   1317, Loss  0.877859, Average Loss  0.869528, Time  0.237303
2021-09-11 13:53:03.009916 : Epoch  5, Batch   1318, Loss  0.891346, Average Loss  0.869608, Time  0.237444
2021-09-11 13:53:05.586178 : Epoch  5, Batch   1319, Loss  0.857902, Average Loss  0.869349, Time  0.237443
2021-09-11 13:53:08.175002 : Epoch  5, Batch   1320, Loss  0.847509, Average Loss  0.869250, Time  0.239823
2021-09-11 13:53:10.747129 : Epoch  5, Batch   1321, Loss  0.872476, Average Loss  0.869339, Time  0.237459
2021-09-11 13:53:13.313036 : Epoch  5, Batch   1322, Loss  0.843962, Average Loss  0.869262, Time  0.237503
2021-09-11 13:53:15.880462 : Epoch  5, Batch   1323, Loss  0.872614, Average Loss  0.869276, Time  0.237322
2021-09-11 13:53:18.451353 : Epoch  5, Batch   1324, Loss  0.878010, Average Loss  0.869330, Time  0.237470
2021-09-11 13:53:21.033084 : Epoch  5, Batch   1325, Loss  0.869826, Average Loss  0.869308, Time  0.237596
2021-09-11 13:53:23.607989 : Epoch  5, Batch   1326, Loss  0.846252, Average Loss  0.869284, Time  0.238456
2021-09-11 13:53:26.190820 : Epoch  5, Batch   1327, Loss  0.859560, Average Loss  0.869303, Time  0.240054
2021-09-11 13:53:28.765444 : Epoch  5, Batch   1328, Loss  0.865938, Average Loss  0.869333, Time  0.238519
2021-09-11 13:53:31.370171 : Epoch  5, Batch   1329, Loss  0.891674, Average Loss  0.869577, Time  0.238705
2021-09-11 13:53:34.003381 : Epoch  5, Batch   1330, Loss  0.854228, Average Loss  0.869617, Time  0.276453
2021-09-11 13:53:36.591856 : Epoch  5, Batch   1331, Loss  0.849926, Average Loss  0.869627, Time  0.238343
2021-09-11 13:53:39.173102 : Epoch  5, Batch   1332, Loss  0.867244, Average Loss  0.869575, Time  0.237753
2021-09-11 13:53:41.749128 : Epoch  5, Batch   1333, Loss  0.876079, Average Loss  0.869593, Time  0.237818
2021-09-11 13:53:44.346048 : Epoch  5, Batch   1334, Loss  0.881755, Average Loss  0.869597, Time  0.238892
2021-09-11 13:53:46.946033 : Epoch  5, Batch   1335, Loss  0.860459, Average Loss  0.869407, Time  0.237493
2021-09-11 13:53:49.528192 : Epoch  5, Batch   1336, Loss  0.863286, Average Loss  0.869532, Time  0.237543
2021-09-11 13:53:52.107367 : Epoch  5, Batch   1337, Loss  0.882356, Average Loss  0.869476, Time  0.237962
2021-09-11 13:53:54.679548 : Epoch  5, Batch   1338, Loss  0.871824, Average Loss  0.869613, Time  0.238609
2021-09-11 13:53:57.244108 : Epoch  5, Batch   1339, Loss  0.844222, Average Loss  0.869495, Time  0.237610
2021-09-11 13:53:59.814528 : Epoch  5, Batch   1340, Loss  0.851151, Average Loss  0.869505, Time  0.237779
2021-09-11 13:54:02.414043 : Epoch  5, Batch   1341, Loss  0.858438, Average Loss  0.869379, Time  0.237919
2021-09-11 13:54:04.994039 : Epoch  5, Batch   1342, Loss  0.883344, Average Loss  0.869501, Time  0.237672
2021-09-11 13:54:07.565883 : Epoch  5, Batch   1343, Loss  0.883483, Average Loss  0.869600, Time  0.238185
2021-09-11 13:54:10.136990 : Epoch  5, Batch   1344, Loss  0.853954, Average Loss  0.869547, Time  0.237732
2021-09-11 13:54:12.731967 : Epoch  5, Batch   1345, Loss  0.865398, Average Loss  0.869434, Time  0.240987
2021-09-11 13:54:15.318870 : Epoch  5, Batch   1346, Loss  0.847309, Average Loss  0.869404, Time  0.239422
2021-09-11 13:54:17.888062 : Epoch  5, Batch   1347, Loss  0.872556, Average Loss  0.869478, Time  0.237447
2021-09-11 13:54:20.468834 : Epoch  5, Batch   1348, Loss  0.875853, Average Loss  0.869492, Time  0.238502
2021-09-11 13:54:23.047968 : Epoch  5, Batch   1349, Loss  0.841975, Average Loss  0.869325, Time  0.237624
2021-09-11 13:54:25.619688 : Epoch  5, Batch   1350, Loss  0.867808, Average Loss  0.869439, Time  0.238761
2021-09-11 13:54:28.195141 : Epoch  5, Batch   1351, Loss  0.877596, Average Loss  0.869452, Time  0.237286
2021-09-11 13:54:30.775096 : Epoch  5, Batch   1352, Loss  0.886266, Average Loss  0.869628, Time  0.238318
2021-09-11 13:54:33.360964 : Epoch  5, Batch   1353, Loss  0.855849, Average Loss  0.869602, Time  0.254511
2021-09-11 13:54:35.934585 : Epoch  5, Batch   1354, Loss  0.881521, Average Loss  0.869699, Time  0.237516
2021-09-11 13:54:38.503041 : Epoch  5, Batch   1355, Loss  0.878685, Average Loss  0.869744, Time  0.237367
2021-09-11 13:54:41.097953 : Epoch  5, Batch   1356, Loss  0.896295, Average Loss  0.869799, Time  0.239374
2021-09-11 13:54:43.671806 : Epoch  5, Batch   1357, Loss  0.870374, Average Loss  0.869810, Time  0.237969
2021-09-11 13:54:46.244399 : Epoch  5, Batch   1358, Loss  0.876252, Average Loss  0.869960, Time  0.240829
2021-09-11 13:54:48.809057 : Epoch  5, Batch   1359, Loss  0.866611, Average Loss  0.869935, Time  0.237791
2021-09-11 13:54:51.380404 : Epoch  5, Batch   1360, Loss  0.850896, Average Loss  0.869866, Time  0.239007
2021-09-11 13:54:53.953078 : Epoch  5, Batch   1361, Loss  0.863485, Average Loss  0.869771, Time  0.238242
2021-09-11 13:54:56.519814 : Epoch  5, Batch   1362, Loss  0.864875, Average Loss  0.869772, Time  0.237395
2021-09-11 13:54:59.088408 : Epoch  5, Batch   1363, Loss  0.848620, Average Loss  0.869710, Time  0.237070
2021-09-11 13:55:01.694330 : Epoch  5, Batch   1364, Loss  0.875897, Average Loss  0.869759, Time  0.237687
2021-09-11 13:55:04.276407 : Epoch  5, Batch   1365, Loss  0.886348, Average Loss  0.869828, Time  0.237073
2021-09-11 13:55:06.858388 : Epoch  5, Batch   1366, Loss  0.866547, Average Loss  0.869841, Time  0.237853
2021-09-11 13:55:09.455906 : Epoch  5, Batch   1367, Loss  0.900263, Average Loss  0.869912, Time  0.243629
2021-09-11 13:55:12.040444 : Epoch  5, Batch   1368, Loss  0.863809, Average Loss  0.869824, Time  0.237216
2021-09-11 13:55:14.610786 : Epoch  5, Batch   1369, Loss  0.871457, Average Loss  0.869840, Time  0.239906
2021-09-11 13:55:17.188979 : Epoch  5, Batch   1370, Loss  0.869703, Average Loss  0.869812, Time  0.240973
2021-09-11 13:55:19.781904 : Epoch  5, Batch   1371, Loss  0.867391, Average Loss  0.869833, Time  0.238580
2021-09-11 13:55:22.352399 : Epoch  5, Batch   1372, Loss  0.873001, Average Loss  0.869935, Time  0.239058
2021-09-11 13:55:24.933867 : Epoch  5, Batch   1373, Loss  0.881726, Average Loss  0.870020, Time  0.237844
2021-09-11 13:55:27.509681 : Epoch  5, Batch   1374, Loss  0.860494, Average Loss  0.869925, Time  0.240897
2021-09-11 13:55:30.087844 : Epoch  5, Batch   1375, Loss  0.851879, Average Loss  0.869991, Time  0.237555
2021-09-11 13:55:32.668855 : Epoch  5, Batch   1376, Loss  0.881053, Average Loss  0.870097, Time  0.239160
2021-09-11 13:57:06.710739 : CheckPoint: Validation Loss  0.00059357, Best Loss  0.00057296
2021-09-11 13:57:08.287931 : Epoch  5, Batch   2857, Loss  0.871838, Average Loss  0.869780, Time  0.177901
2021-09-11 13:57:09.886741 : Epoch  5, Batch   2858, Loss  0.847183, Average Loss  0.869773, Time  0.170473
2021-09-11 13:57:11.505974 : Epoch  5, Batch   2859, Loss  0.876484, Average Loss  0.869759, Time  0.169556
2021-09-11 13:57:13.124767 : Epoch  5, Batch   2860, Loss  0.904105, Average Loss  0.869936, Time  0.170447
2021-09-11 13:57:14.745845 : Epoch  5, Batch   2861, Loss  0.881103, Average Loss  0.870283, Time  0.169911
2021-09-11 13:57:16.361987 : Epoch  5, Batch   2862, Loss  0.874611, Average Loss  0.870321, Time  0.169694
2021-09-11 13:57:18.021985 : Epoch  5, Batch   2863, Loss  0.843287, Average Loss  0.870268, Time  0.170051
2021-09-11 13:57:19.632745 : Epoch  5, Batch   2864, Loss  0.885064, Average Loss  0.870398, Time  0.169571
2021-09-11 13:57:21.234997 : Epoch  5, Batch   2865, Loss  0.883935, Average Loss  0.870482, Time  0.169447
2021-09-11 13:57:22.853014 : Epoch  5, Batch   2866, Loss  0.872252, Average Loss  0.870484, Time  0.169884
2021-09-11 13:57:24.482000 : Epoch  5, Batch   2867, Loss  0.866191, Average Loss  0.870409, Time  0.169748
2021-09-11 13:57:26.086978 : Epoch  5, Batch   2868, Loss  0.902979, Average Loss  0.870405, Time  0.169703
2021-09-11 13:57:27.675980 : Epoch  5, Batch   2869, Loss  0.857922, Average Loss  0.870209, Time  0.169755
2021-09-11 13:57:29.294769 : Epoch  5, Batch   2870, Loss  0.871063, Average Loss  0.870192, Time  0.171765
2021-09-11 13:57:30.902983 : Epoch  5, Batch   2871, Loss  0.886562, Average Loss  0.870145, Time  0.170093
2021-09-11 13:57:32.507728 : Epoch  5, Batch   2872, Loss  0.923255, Average Loss  0.870529, Time  0.169935
2021-09-11 13:57:34.130770 : Epoch  5, Batch   2873, Loss  0.856007, Average Loss  0.870495, Time  0.169562
2021-09-11 13:57:35.749997 : Epoch  5, Batch   2874, Loss  0.863230, Average Loss  0.870541, Time  0.170068
2021-09-11 13:57:37.371769 : Epoch  5, Batch   2875, Loss  0.858474, Average Loss  0.870324, Time  0.169542
2021-09-11 13:57:38.993729 : Epoch  5, Batch   2876, Loss  0.847638, Average Loss  0.870373, Time  0.169661
2021-09-11 13:57:40.591776 : Epoch  5, Batch   2877, Loss  0.866066, Average Loss  0.870357, Time  0.169622
2021-09-11 13:57:42.215780 : Epoch  5, Batch   2878, Loss  0.875244, Average Loss  0.870509, Time  0.172149
2021-09-11 13:57:43.810244 : Epoch  5, Batch   2879, Loss  0.861886, Average Loss  0.870413, Time  0.170129
2021-09-11 13:57:45.451065 : Epoch  5, Batch   2880, Loss  0.871939, Average Loss  0.870482, Time  0.169991
2021-09-11 13:57:47.060778 : Epoch  5, Batch   2881, Loss  0.859526, Average Loss  0.870260, Time  0.170268
2021-09-11 13:57:48.667774 : Epoch  5, Batch   2882, Loss  0.904091, Average Loss  0.870431, Time  0.172463
2021-09-11 13:57:50.283068 : Epoch  5, Batch   2883, Loss  0.854610, Average Loss  0.870272, Time  0.172307
2021-09-11 13:57:51.907776 : Epoch  5, Batch   2884, Loss  0.856870, Average Loss  0.870159, Time  0.170225
2021-09-11 13:57:53.524099 : Epoch  5, Batch   2885, Loss  0.859934, Average Loss  0.870122, Time  0.170180
2021-09-11 13:57:55.118885 : Epoch  5, Batch   2886, Loss  0.847042, Average Loss  0.869983, Time  0.170272
2021-09-11 13:57:56.722954 : Epoch  5, Batch   2887, Loss  0.891631, Average Loss  0.870116, Time  0.173486
2021-09-11 13:57:58.340860 : Epoch  5, Batch   2888, Loss  0.847161, Average Loss  0.870106, Time  0.173788
2021-09-11 13:57:59.967736 : Epoch  5, Batch   2889, Loss  0.848760, Average Loss  0.869904, Time  0.172700
2021-09-11 13:58:01.577746 : Epoch  5, Batch   2890, Loss  0.852587, Average Loss  0.869730, Time  0.173922
2021-09-11 13:58:03.176752 : Epoch  5, Batch   2891, Loss  0.865465, Average Loss  0.869684, Time  0.174822
2021-09-11 13:58:04.766764 : Epoch  5, Batch   2892, Loss  0.882190, Average Loss  0.869735, Time  0.169985
2021-09-11 13:58:06.358858 : Epoch  5, Batch   2893, Loss  0.857287, Average Loss  0.869576, Time  0.172913
2021-09-11 13:58:07.954984 : Epoch  5, Batch   2894, Loss  0.877460, Average Loss  0.869772, Time  0.170087
2021-09-11 13:58:09.534808 : Epoch  5, Batch   2895, Loss  0.863055, Average Loss  0.869737, Time  0.169905
2021-09-11 13:58:11.145038 : Epoch  5, Batch   2896, Loss  0.848969, Average Loss  0.869678, Time  0.170077
2021-09-11 13:58:12.741834 : Epoch  5, Batch   2897, Loss  0.872216, Average Loss  0.869711, Time  0.171082
2021-09-11 13:58:14.344038 : Epoch  5, Batch   2898, Loss  0.870779, Average Loss  0.869788, Time  0.170184
2021-09-11 13:58:15.975485 : Epoch  5, Batch   2899, Loss  0.832477, Average Loss  0.869588, Time  0.175916
2021-09-11 13:58:17.573843 : Epoch  5, Batch   2900, Loss  0.854208, Average Loss  0.869501, Time  0.173023
2021-09-11 13:58:19.164063 : Epoch  5, Batch   2901, Loss  0.850244, Average Loss  0.869509, Time  0.172111
2021-09-11 13:58:20.771027 : Epoch  5, Batch   2902, Loss  0.861384, Average Loss  0.869482, Time  0.174013
2021-09-11 13:58:22.399039 : Epoch  5, Batch   2903, Loss  0.883344, Average Loss  0.869439, Time  0.175441
2021-09-11 13:58:24.010026 : Epoch  5, Batch   2904, Loss  0.890661, Average Loss  0.869678, Time  0.179251
2021-09-11 13:58:25.610797 : Epoch  5, Batch   2905, Loss  0.861100, Average Loss  0.869509, Time  0.171404
2021-09-11 13:58:27.190981 : Epoch  5, Batch   2906, Loss  0.885435, Average Loss  0.869521, Time  0.170669
2021-09-11 13:58:28.774763 : Epoch  5, Batch   2907, Loss  0.885636, Average Loss  0.869626, Time  0.171299
2021-09-11 13:58:30.424036 : Epoch  5, Batch   2908, Loss  0.855875, Average Loss  0.869556, Time  0.172358
2021-09-11 13:58:32.022025 : Epoch  5, Batch   2909, Loss  0.860589, Average Loss  0.869372, Time  0.169633
2021-09-11 13:58:33.629781 : Epoch  5, Batch   2910, Loss  0.872696, Average Loss  0.869273, Time  0.173386
2021-09-11 13:58:35.223768 : Epoch  5, Batch   2911, Loss  0.863394, Average Loss  0.869311, Time  0.172465
2021-09-11 13:58:36.827776 : Epoch  5, Batch   2912, Loss  0.837896, Average Loss  0.869253, Time  0.171839
2021-09-11 13:58:38.416832 : Epoch  5, Batch   2913, Loss  0.881122, Average Loss  0.869267, Time  0.171761
2021-09-11 13:58:39.996863 : Epoch  5, Batch   2914, Loss  0.882059, Average Loss  0.869399, Time  0.170092
2021-09-11 13:58:41.605734 : Epoch  5, Batch   2915, Loss  0.877112, Average Loss  0.869392, Time  0.172136
2021-09-11 13:58:43.185868 : Epoch  5, Batch   2916, Loss  0.902062, Average Loss  0.869628, Time  0.172043
2021-09-11 13:58:44.783023 : Epoch  5, Batch   2917, Loss  0.858320, Average Loss  0.869518, Time  0.172178
2021-09-11 13:58:46.397769 : Epoch  5, Batch   2918, Loss  0.872134, Average Loss  0.869564, Time  0.170102
2021-09-11 13:58:48.010039 : Epoch  5, Batch   2919, Loss  0.856519, Average Loss  0.869611, Time  0.173090
2021-09-11 13:58:49.608029 : Epoch  5, Batch   2920, Loss  0.843909, Average Loss  0.869566, Time  0.170148
2021-09-11 13:58:51.186046 : Epoch  5, Batch   2921, Loss  0.853164, Average Loss  0.869590, Time  0.176253
2021-09-11 13:58:52.784802 : Epoch  5, Batch   2922, Loss  0.896969, Average Loss  0.869840, Time  0.173120
2021-09-11 13:58:54.380824 : Epoch  5, Batch   2923, Loss  0.850406, Average Loss  0.869876, Time  0.173131
2021-09-11 13:58:55.984028 : Epoch  5, Batch   2924, Loss  0.886229, Average Loss  0.869924, Time  0.169843
2021-09-11 13:58:57.605849 : Epoch  5, Batch   2925, Loss  0.873353, Average Loss  0.870052, Time  0.174444
2021-09-11 13:58:59.200037 : Epoch  5, Batch   2926, Loss  0.861503, Average Loss  0.869792, Time  0.174442
2021-09-11 13:59:00.812758 : Epoch  5, Batch   2927, Loss  0.895079, Average Loss  0.869920, Time  0.175197
2021-09-11 13:59:02.425837 : Epoch  5, Batch   2928, Loss  0.851418, Average Loss  0.869909, Time  0.173852
2021-09-11 13:59:04.031838 : Epoch  5, Batch   2929, Loss  0.872011, Average Loss  0.869965, Time  0.171867
2021-09-11 13:59:05.608026 : Epoch  5, Batch   2930, Loss  0.869322, Average Loss  0.869904, Time  0.171993
2021-09-11 13:59:07.191760 : Epoch  5, Batch   2931, Loss  0.852397, Average Loss  0.869815, Time  0.169945
2021-09-11 13:59:08.831019 : Epoch  5, Batch   2932, Loss  0.864606, Average Loss  0.869803, Time  0.170673
2021-09-11 13:59:10.445738 : Epoch  5, Batch   2933, Loss  0.889521, Average Loss  0.869913, Time  0.174428
2021-09-11 13:59:12.046024 : Epoch  5, Batch   2934, Loss  0.861962, Average Loss  0.869821, Time  0.172327
2021-09-11 13:59:13.644764 : Epoch  5, Batch   2935, Loss  0.895283, Average Loss  0.869834, Time  0.173442
2021-09-11 13:59:15.227028 : Epoch  5, Batch   2936, Loss  0.884242, Average Loss  0.869920, Time  0.183963
2021-09-11 13:59:16.806341 : Epoch  5, Batch   2937, Loss  0.827564, Average Loss  0.869718, Time  0.172018
2021-09-11 13:59:18.386871 : Epoch  5, Batch   2938, Loss  0.865864, Average Loss  0.869694, Time  0.170964
2021-09-11 13:59:20.000061 : Epoch  5, Batch   2939, Loss  0.850435, Average Loss  0.869605, Time  0.172966
2021-09-11 13:59:21.614806 : Epoch  5, Batch   2940, Loss  0.857869, Average Loss  0.869496, Time  0.170244
2021-09-11 13:59:23.222731 : Epoch  5, Batch   2941, Loss  0.852181, Average Loss  0.869463, Time  0.176050
2021-09-11 13:59:24.813845 : Epoch  5, Batch   2942, Loss  0.874307, Average Loss  0.869423, Time  0.171045
2021-09-11 13:59:26.402761 : Epoch  5, Batch   2943, Loss  0.810074, Average Loss  0.869021, Time  0.175907
2021-09-11 13:59:28.005776 : Epoch  5, Batch   2944, Loss  0.899685, Average Loss  0.869225, Time  0.179113
2021-09-11 13:59:29.613031 : Epoch  5, Batch   2945, Loss  0.888705, Average Loss  0.869370, Time  0.170210
2021-09-11 13:59:31.206485 : Epoch  5, Batch   2946, Loss  0.840235, Average Loss  0.869381, Time  0.172781
2021-09-11 13:59:32.770058 : Epoch  5, Batch   2947, Loss  0.863835, Average Loss  0.869316, Time  0.169848
2021-09-11 13:59:34.363029 : Epoch  5, Batch   2948, Loss  0.855015, Average Loss  0.869078, Time  0.177598
2021-09-11 13:59:34.995732 : CheckPoint: Validation Loss  0.00029850, Best Loss  0.00029019
2021-09-11 13:59:35.962753 : Epoch  5, Batch   2949, Loss  0.878833, Average Loss  0.868920, Time  0.178079
2021-09-11 13:59:37.531743 : Epoch  5, Batch   2950, Loss  0.879144, Average Loss  0.868942, Time  0.170676
2021-09-11 13:59:37.575147 : Epoch  5, Batch   1377, Loss  0.872621, Average Loss  0.870239, Time  0.241014
2021-09-11 13:59:39.100770 : Epoch  5, Batch   2951, Loss  0.901178, Average Loss  0.869072, Time  0.173107
2021-09-11 13:59:40.144058 : Epoch  5, Batch   1378, Loss  0.869569, Average Loss  0.870251, Time  0.238484
2021-09-11 13:59:40.681041 : Epoch  5, Batch   2952, Loss  0.859636, Average Loss  0.868989, Time  0.170115
2021-09-11 13:59:42.292927 : Epoch  5, Batch   2953, Loss  0.861128, Average Loss  0.868943, Time  0.178166
2021-09-11 13:59:42.726861 : Epoch  5, Batch   1379, Loss  0.869465, Average Loss  0.870301, Time  0.237376
2021-09-11 13:59:43.894734 : Epoch  5, Batch   2954, Loss  0.851677, Average Loss  0.868853, Time  0.170180
2021-09-11 13:59:45.318411 : Epoch  5, Batch   1380, Loss  0.849414, Average Loss  0.870107, Time  0.239248
2021-09-11 13:59:45.498830 : Epoch  5, Batch   2955, Loss  0.869315, Average Loss  0.868816, Time  0.170240
2021-09-11 13:59:47.082742 : Epoch  5, Batch   2956, Loss  0.874773, Average Loss  0.868839, Time  0.169912
2021-09-11 13:59:47.900976 : Epoch  5, Batch   1381, Loss  0.859506, Average Loss  0.870108, Time  0.237984
2021-09-11 13:59:50.486558 : Epoch  5, Batch   1382, Loss  0.883762, Average Loss  0.870166, Time  0.237500
2021-09-11 13:59:53.074847 : Epoch  5, Batch   1383, Loss  0.856432, Average Loss  0.870144, Time  0.237494
2021-09-11 13:59:55.660868 : Epoch  5, Batch   1384, Loss  0.882008, Average Loss  0.870209, Time  0.238475
2021-09-11 13:59:58.249222 : Epoch  5, Batch   1385, Loss  0.857738, Average Loss  0.870055, Time  0.237524
2021-09-11 14:00:00.835389 : Epoch  5, Batch   1386, Loss  0.874212, Average Loss  0.870134, Time  0.240507
2021-09-11 14:00:03.461869 : Epoch  5, Batch   1387, Loss  0.864645, Average Loss  0.870123, Time  0.239036
2021-09-11 14:00:06.060010 : Epoch  5, Batch   1388, Loss  0.871425, Average Loss  0.870182, Time  0.237552
2021-09-11 14:00:08.637898 : Epoch  5, Batch   1389, Loss  0.865443, Average Loss  0.870209, Time  0.237609
2021-09-11 14:00:11.221090 : Epoch  5, Batch   1390, Loss  0.862177, Average Loss  0.870216, Time  0.237828
2021-09-11 14:00:13.809849 : Epoch  5, Batch   1391, Loss  0.872352, Average Loss  0.870216, Time  0.237815
2021-09-11 14:00:16.397031 : Epoch  5, Batch   1392, Loss  0.872221, Average Loss  0.870191, Time  0.239125
2021-09-11 14:00:18.984968 : Epoch  5, Batch   1393, Loss  0.860450, Average Loss  0.870217, Time  0.238793
2021-09-11 14:00:21.575022 : Epoch  5, Batch   1394, Loss  0.872151, Average Loss  0.870240, Time  0.238260
2021-09-11 14:00:24.177954 : Epoch  5, Batch   1395, Loss  0.874049, Average Loss  0.870165, Time  0.239105
2021-09-11 14:00:26.763961 : Epoch  5, Batch   1396, Loss  0.895499, Average Loss  0.870203, Time  0.238842
2021-09-11 14:00:29.355830 : Epoch  5, Batch   1397, Loss  0.865700, Average Loss  0.870137, Time  0.238569
2021-09-11 14:00:31.962244 : Epoch  5, Batch   1398, Loss  0.869439, Average Loss  0.870157, Time  0.238996
2021-09-11 14:00:34.547040 : Epoch  5, Batch   1399, Loss  0.858414, Average Loss  0.870061, Time  0.237513
2021-09-11 14:00:37.164951 : Epoch  5, Batch   1400, Loss  0.877637, Average Loss  0.870028, Time  0.237527
2021-09-11 14:00:39.774367 : Epoch  5, Batch   1401, Loss  0.866332, Average Loss  0.870083, Time  0.237237
2021-09-11 14:00:42.372870 : Epoch  5, Batch   1402, Loss  0.862032, Average Loss  0.870081, Time  0.239431
2021-09-11 14:00:44.960872 : Epoch  5, Batch   1403, Loss  0.869598, Average Loss  0.870013, Time  0.238309
2021-09-11 14:00:47.555828 : Epoch  5, Batch   1404, Loss  0.867716, Average Loss  0.870019, Time  0.237606
2021-09-11 14:00:50.142927 : Epoch  5, Batch   1405, Loss  0.885655, Average Loss  0.870175, Time  0.238029
2021-09-11 14:00:52.724833 : Epoch  5, Batch   1406, Loss  0.883299, Average Loss  0.870096, Time  0.237305
2021-09-11 14:00:55.314913 : Epoch  5, Batch   1407, Loss  0.866832, Average Loss  0.870081, Time  0.237485
2021-09-11 14:00:57.924954 : Epoch  5, Batch   1408, Loss  0.865242, Average Loss  0.870038, Time  0.237867
2021-09-11 14:01:00.515989 : Epoch  5, Batch   1409, Loss  0.883384, Average Loss  0.870213, Time  0.240007
2021-09-11 14:01:03.095582 : Epoch  5, Batch   1410, Loss  0.866499, Average Loss  0.870083, Time  0.237374
2021-09-11 14:01:05.681814 : Epoch  5, Batch   1411, Loss  0.880522, Average Loss  0.870136, Time  0.237367
2021-09-11 14:01:08.254858 : Epoch  5, Batch   1412, Loss  0.898552, Average Loss  0.870342, Time  0.237433
2021-09-11 14:01:10.834965 : Epoch  5, Batch   1413, Loss  0.875233, Average Loss  0.870311, Time  0.237614
2021-09-11 14:01:13.437899 : Epoch  5, Batch   1414, Loss  0.882311, Average Loss  0.870414, Time  0.237850
2021-09-11 14:01:16.059934 : Epoch  5, Batch   1415, Loss  0.854939, Average Loss  0.870340, Time  0.238460
2021-09-11 14:01:18.672501 : Epoch  5, Batch   1416, Loss  0.874010, Average Loss  0.870333, Time  0.239026
2021-09-11 14:01:21.264917 : Epoch  5, Batch   1417, Loss  0.872001, Average Loss  0.870420, Time  0.238442
2021-09-11 14:01:23.872038 : Epoch  5, Batch   1418, Loss  0.874866, Average Loss  0.870467, Time  0.239209
2021-09-11 14:01:26.485113 : Epoch  5, Batch   1419, Loss  0.863655, Average Loss  0.870278, Time  0.237725
2021-09-11 14:01:29.069332 : Epoch  5, Batch   1420, Loss  0.879987, Average Loss  0.870336, Time  0.237395
2021-09-11 14:01:31.658372 : Epoch  5, Batch   1421, Loss  0.878133, Average Loss  0.870408, Time  0.238438
2021-09-11 14:01:34.241482 : Epoch  5, Batch   1422, Loss  0.868316, Average Loss  0.870445, Time  0.240040
2021-09-11 14:01:36.829080 : Epoch  5, Batch   1423, Loss  0.851387, Average Loss  0.870293, Time  0.237624
2021-09-11 14:01:39.409557 : Epoch  5, Batch   1424, Loss  0.873519, Average Loss  0.870360, Time  0.237723
2021-09-11 14:01:41.990951 : Epoch  5, Batch   1425, Loss  0.854745, Average Loss  0.870186, Time  0.237898
2021-09-11 14:01:44.579167 : Epoch  5, Batch   1426, Loss  0.879352, Average Loss  0.870216, Time  0.238276
2021-09-11 14:01:47.160120 : Epoch  5, Batch   1427, Loss  0.872940, Average Loss  0.870208, Time  0.237533
2021-09-11 14:01:49.796388 : Epoch  5, Batch   1428, Loss  0.867589, Average Loss  0.870318, Time  0.237374
2021-09-11 14:01:52.391931 : Epoch  5, Batch   1429, Loss  0.854480, Average Loss  0.870203, Time  0.238088
2021-09-11 14:01:54.983359 : Epoch  5, Batch   1430, Loss  0.867418, Average Loss  0.870285, Time  0.237237
2021-09-11 14:01:57.562679 : Epoch  5, Batch   1431, Loss  0.856249, Average Loss  0.870205, Time  0.238214
2021-09-11 14:02:00.144954 : Epoch  5, Batch   1432, Loss  0.874192, Average Loss  0.870359, Time  0.237528
2021-09-11 14:02:02.727389 : Epoch  5, Batch   1433, Loss  0.866330, Average Loss  0.870390, Time  0.237334
2021-09-11 14:02:05.310111 : Epoch  5, Batch   1434, Loss  0.869893, Average Loss  0.870331, Time  0.237296
2021-09-11 14:02:07.900023 : Epoch  5, Batch   1435, Loss  0.885277, Average Loss  0.870444, Time  0.239134
2021-09-11 14:02:10.482199 : Epoch  5, Batch   1436, Loss  0.878155, Average Loss  0.870407, Time  0.237669
2021-09-11 14:02:13.063879 : Epoch  5, Batch   1437, Loss  0.863373, Average Loss  0.870515, Time  0.237806
2021-09-11 14:02:15.650947 : Epoch  5, Batch   1438, Loss  0.861767, Average Loss  0.870384, Time  0.238687
2021-09-11 14:02:18.243851 : Epoch  5, Batch   1439, Loss  0.857616, Average Loss  0.870223, Time  0.237880
2021-09-11 14:02:20.834434 : Epoch  5, Batch   1440, Loss  0.861359, Average Loss  0.870287, Time  0.238568
2021-09-11 14:02:23.434160 : Epoch  5, Batch   1441, Loss  0.859916, Average Loss  0.870094, Time  0.237733
2021-09-11 14:02:26.023214 : Epoch  5, Batch   1442, Loss  0.855119, Average Loss  0.870010, Time  0.239192
2021-09-11 14:02:28.618038 : Epoch  5, Batch   1443, Loss  0.876984, Average Loss  0.869995, Time  0.237780
2021-09-11 14:02:31.211334 : Epoch  5, Batch   1444, Loss  0.876173, Average Loss  0.869968, Time  0.237351
2021-09-11 14:02:33.802995 : Epoch  5, Batch   1445, Loss  0.842123, Average Loss  0.870038, Time  0.237555
2021-09-11 14:02:36.395858 : Epoch  5, Batch   1446, Loss  0.879728, Average Loss  0.870124, Time  0.238577
2021-09-11 14:02:38.984833 : Epoch  5, Batch   1447, Loss  0.867995, Average Loss  0.870100, Time  0.238118
2021-09-11 14:02:41.576396 : Epoch  5, Batch   1448, Loss  0.873280, Average Loss  0.870105, Time  0.238214
2021-09-11 14:02:44.159917 : Epoch  5, Batch   1449, Loss  0.857928, Average Loss  0.870100, Time  0.237921
2021-09-11 14:02:46.766870 : Epoch  5, Batch   1450, Loss  0.862351, Average Loss  0.870059, Time  0.238774
2021-09-11 14:02:49.354054 : Epoch  5, Batch   1451, Loss  0.875775, Average Loss  0.870043, Time  0.238521
2021-09-11 14:02:51.940433 : Epoch  5, Batch   1452, Loss  0.862962, Average Loss  0.869918, Time  0.237372
2021-09-11 14:02:54.529419 : Epoch  5, Batch   1453, Loss  0.862176, Average Loss  0.869812, Time  0.237105
2021-09-11 14:02:57.111002 : Epoch  5, Batch   1454, Loss  0.855073, Average Loss  0.869645, Time  0.238425
2021-09-11 14:02:59.699425 : Epoch  5, Batch   1455, Loss  0.867933, Average Loss  0.869613, Time  0.237599
2021-09-11 14:03:02.286392 : Epoch  5, Batch   1456, Loss  0.881004, Average Loss  0.869766, Time  0.237323
2021-09-11 14:03:04.875394 : Epoch  5, Batch   1457, Loss  0.867071, Average Loss  0.869767, Time  0.237331
2021-09-11 14:03:07.466407 : Epoch  5, Batch   1458, Loss  0.863856, Average Loss  0.869767, Time  0.243665
2021-09-11 14:03:10.055661 : Epoch  5, Batch   1459, Loss  0.873065, Average Loss  0.869676, Time  0.238650
2021-09-11 14:03:12.730922 : Epoch  5, Batch   1460, Loss  0.871491, Average Loss  0.869701, Time  0.237515
2021-09-11 14:03:15.310225 : Epoch  5, Batch   1461, Loss  0.854728, Average Loss  0.869509, Time  0.238046
2021-09-11 14:03:17.886076 : Epoch  5, Batch   1462, Loss  0.856496, Average Loss  0.869392, Time  0.238146
2021-09-11 14:03:20.470717 : Epoch  5, Batch   1463, Loss  0.875886, Average Loss  0.869397, Time  0.239782
2021-09-11 14:03:23.055394 : Epoch  5, Batch   1464, Loss  0.872035, Average Loss  0.869514, Time  0.241275
2021-09-11 14:03:25.638908 : Epoch  5, Batch   1465, Loss  0.878885, Average Loss  0.869496, Time  0.237717
2021-09-11 14:03:28.247669 : Epoch  5, Batch   1466, Loss  0.864703, Average Loss  0.869433, Time  0.239302
2021-09-11 14:03:30.840404 : Epoch  5, Batch   1467, Loss  0.860464, Average Loss  0.869414, Time  0.241330
2021-09-11 14:03:33.417002 : Epoch  5, Batch   1468, Loss  0.850901, Average Loss  0.869233, Time  0.238161
2021-09-11 14:03:35.999552 : Epoch  5, Batch   1469, Loss  0.879948, Average Loss  0.869361, Time  0.240007
2021-09-11 14:03:38.589855 : Epoch  5, Batch   1470, Loss  0.873517, Average Loss  0.869418, Time  0.238241
2021-09-11 14:03:41.186421 : Epoch  5, Batch   1471, Loss  0.862169, Average Loss  0.869311, Time  0.238885
2021-09-11 14:03:43.766995 : Epoch  5, Batch   1472, Loss  0.856902, Average Loss  0.869341, Time  0.237782
2021-09-11 14:03:46.352994 : Epoch  5, Batch   1473, Loss  0.869133, Average Loss  0.869301, Time  0.240945
2021-09-11 14:03:48.948996 : Epoch  5, Batch   1474, Loss  0.876108, Average Loss  0.869334, Time  0.237236
2021-09-11 14:03:51.528878 : Epoch  5, Batch   1475, Loss  0.889411, Average Loss  0.869358, Time  0.236991
2021-09-11 14:03:54.105663 : Epoch  5, Batch   1476, Loss  0.891181, Average Loss  0.869476, Time  0.237417
2021-09-11 14:04:27.551713 : CheckPoint: Validation Loss  0.00059895, Best Loss  0.00057296
2021-09-11 14:04:29.180959 : Epoch  5, Batch   2957, Loss  0.866472, Average Loss  0.868691, Time  0.179594
2021-09-11 14:04:30.774907 : Epoch  5, Batch   2958, Loss  0.857312, Average Loss  0.868640, Time  0.170345
2021-09-11 14:04:32.393825 : Epoch  5, Batch   2959, Loss  0.867546, Average Loss  0.868553, Time  0.169851
2021-09-11 14:04:34.016977 : Epoch  5, Batch   2960, Loss  0.912312, Average Loss  0.868811, Time  0.169947
2021-09-11 14:04:35.644781 : Epoch  5, Batch   2961, Loss  0.855021, Average Loss  0.868740, Time  0.169954
2021-09-11 14:04:37.262774 : Epoch  5, Batch   2962, Loss  0.854427, Average Loss  0.868665, Time  0.169795
2021-09-11 14:04:38.879506 : Epoch  5, Batch   2963, Loss  0.882404, Average Loss  0.868686, Time  0.169657
2021-09-11 14:04:40.516997 : Epoch  5, Batch   2964, Loss  0.886714, Average Loss  0.868842, Time  0.169919
2021-09-11 14:04:42.120927 : Epoch  5, Batch   2965, Loss  0.854620, Average Loss  0.868721, Time  0.169729
2021-09-11 14:04:43.742755 : Epoch  5, Batch   2966, Loss  0.874969, Average Loss  0.868708, Time  0.169965
2021-09-11 14:04:45.365000 : Epoch  5, Batch   2967, Loss  0.883537, Average Loss  0.868491, Time  0.169646
2021-09-11 14:04:46.983762 : Epoch  5, Batch   2968, Loss  0.863727, Average Loss  0.868336, Time  0.172487
2021-09-11 14:04:48.597773 : Epoch  5, Batch   2969, Loss  0.864101, Average Loss  0.868487, Time  0.169480
2021-09-11 14:04:50.204738 : Epoch  5, Batch   2970, Loss  0.848975, Average Loss  0.868290, Time  0.169782
2021-09-11 14:04:51.816728 : Epoch  5, Batch   2971, Loss  0.904747, Average Loss  0.868455, Time  0.169892
2021-09-11 14:04:53.452737 : Epoch  5, Batch   2972, Loss  0.886208, Average Loss  0.868497, Time  0.170169
2021-09-11 14:04:55.054917 : Epoch  5, Batch   2973, Loss  0.854410, Average Loss  0.868438, Time  0.171293
2021-09-11 14:04:56.656754 : Epoch  5, Batch   2974, Loss  0.868795, Average Loss  0.868419, Time  0.170495
2021-09-11 14:04:58.249755 : Epoch  5, Batch   2975, Loss  0.839324, Average Loss  0.868285, Time  0.170717
2021-09-11 14:04:59.849743 : Epoch  5, Batch   2976, Loss  0.855382, Average Loss  0.868281, Time  0.171012
2021-09-11 14:05:01.470225 : Epoch  5, Batch   2977, Loss  0.895741, Average Loss  0.868491, Time  0.181823
2021-09-11 14:05:03.093774 : Epoch  5, Batch   2978, Loss  0.856149, Average Loss  0.868550, Time  0.177202
2021-09-11 14:05:04.706782 : Epoch  5, Batch   2979, Loss  0.858397, Average Loss  0.868467, Time  0.170506
2021-09-11 14:05:06.320015 : Epoch  5, Batch   2980, Loss  0.867195, Average Loss  0.868436, Time  0.171449
2021-09-11 14:05:07.945776 : Epoch  5, Batch   2981, Loss  0.829106, Average Loss  0.868150, Time  0.170050
2021-09-11 14:05:09.559031 : Epoch  5, Batch   2982, Loss  0.871078, Average Loss  0.868150, Time  0.172467
2021-09-11 14:05:11.155912 : Epoch  5, Batch   2983, Loss  0.840860, Average Loss  0.868034, Time  0.170331
2021-09-11 14:05:12.752746 : Epoch  5, Batch   2984, Loss  0.881088, Average Loss  0.868049, Time  0.169911
2021-09-11 14:05:14.347012 : Epoch  5, Batch   2985, Loss  0.868251, Average Loss  0.868030, Time  0.170464
2021-09-11 14:05:16.042980 : Epoch  5, Batch   2986, Loss  0.873223, Average Loss  0.867892, Time  0.171913
2021-09-11 14:05:17.652729 : Epoch  5, Batch   2987, Loss  0.863854, Average Loss  0.867767, Time  0.169850
2021-09-11 14:05:19.275779 : Epoch  5, Batch   2988, Loss  0.863457, Average Loss  0.867648, Time  0.172350
2021-09-11 14:05:20.894823 : Epoch  5, Batch   2989, Loss  0.856275, Average Loss  0.867583, Time  0.169749
2021-09-11 14:05:22.519978 : Epoch  5, Batch   2990, Loss  0.868612, Average Loss  0.867689, Time  0.169980
2021-09-11 14:05:24.131758 : Epoch  5, Batch   2991, Loss  0.893287, Average Loss  0.867900, Time  0.169766
2021-09-11 14:05:25.762935 : Epoch  5, Batch   2992, Loss  0.886766, Average Loss  0.867988, Time  0.170972
2021-09-11 14:05:27.361726 : Epoch  5, Batch   2993, Loss  0.876395, Average Loss  0.868013, Time  0.170171
2021-09-11 14:05:28.963024 : Epoch  5, Batch   2994, Loss  0.902561, Average Loss  0.868149, Time  0.170484
2021-09-11 14:05:30.571754 : Epoch  5, Batch   2995, Loss  0.867243, Average Loss  0.868125, Time  0.174015
2021-09-11 14:05:32.189731 : Epoch  5, Batch   2996, Loss  0.840121, Average Loss  0.867844, Time  0.172160
2021-09-11 14:05:33.792028 : Epoch  5, Batch   2997, Loss  0.886231, Average Loss  0.867953, Time  0.173340
2021-09-11 14:05:35.407740 : Epoch  5, Batch   2998, Loss  0.886955, Average Loss  0.868207, Time  0.170666
2021-09-11 14:05:37.043740 : Epoch  5, Batch   2999, Loss  0.870419, Average Loss  0.868177, Time  0.177768
2021-09-11 14:05:38.638030 : Epoch  5, Batch   3000, Loss  0.855206, Average Loss  0.868014, Time  0.176698
2021-09-11 14:05:40.237833 : Epoch  5, Batch   3001, Loss  0.906737, Average Loss  0.868261, Time  0.169929
2021-09-11 14:05:41.837032 : Epoch  5, Batch   3002, Loss  0.866920, Average Loss  0.868124, Time  0.172669
2021-09-11 14:05:43.421748 : Epoch  5, Batch   3003, Loss  0.844515, Average Loss  0.867903, Time  0.175070
2021-09-11 14:05:45.032040 : Epoch  5, Batch   3004, Loss  0.891324, Average Loss  0.867964, Time  0.170427
2021-09-11 14:05:46.629845 : Epoch  5, Batch   3005, Loss  0.849450, Average Loss  0.867827, Time  0.176886
2021-09-11 14:05:48.214812 : Epoch  5, Batch   3006, Loss  0.866384, Average Loss  0.867836, Time  0.170824
2021-09-11 14:05:49.806831 : Epoch  5, Batch   3007, Loss  0.891025, Average Loss  0.867852, Time  0.169692
2021-09-11 14:05:51.418024 : Epoch  5, Batch   3008, Loss  0.909799, Average Loss  0.867975, Time  0.170297
2021-09-11 14:05:53.015758 : Epoch  5, Batch   3009, Loss  0.873088, Average Loss  0.868088, Time  0.169736
2021-09-11 14:05:54.606030 : Epoch  5, Batch   3010, Loss  0.865983, Average Loss  0.868091, Time  0.174882
2021-09-11 14:05:56.187760 : Epoch  5, Batch   3011, Loss  0.850651, Average Loss  0.868023, Time  0.173023
2021-09-11 14:05:57.787773 : Epoch  5, Batch   3012, Loss  0.856105, Average Loss  0.867943, Time  0.171305
2021-09-11 14:05:59.399735 : Epoch  5, Batch   3013, Loss  0.849386, Average Loss  0.867896, Time  0.174199
2021-09-11 14:06:01.015781 : Epoch  5, Batch   3014, Loss  0.854604, Average Loss  0.867746, Time  0.173527
2021-09-11 14:06:02.617021 : Epoch  5, Batch   3015, Loss  0.859874, Average Loss  0.867686, Time  0.169774
2021-09-11 14:06:04.202744 : Epoch  5, Batch   3016, Loss  0.836904, Average Loss  0.867509, Time  0.175490
2021-09-11 14:06:05.812060 : Epoch  5, Batch   3017, Loss  0.881369, Average Loss  0.867575, Time  0.170368
2021-09-11 14:06:07.426845 : Epoch  5, Batch   3018, Loss  0.881561, Average Loss  0.867650, Time  0.171241
2021-09-11 14:06:09.043812 : Epoch  5, Batch   3019, Loss  0.833607, Average Loss  0.867369, Time  0.178763
2021-09-11 14:06:10.637669 : Epoch  5, Batch   3020, Loss  0.867542, Average Loss  0.867455, Time  0.173666
2021-09-11 14:06:12.250750 : Epoch  5, Batch   3021, Loss  0.886968, Average Loss  0.867458, Time  0.170060
2021-09-11 14:06:13.897780 : Epoch  5, Batch   3022, Loss  0.858724, Average Loss  0.867468, Time  0.170811
2021-09-11 14:06:15.487841 : Epoch  5, Batch   3023, Loss  0.882127, Average Loss  0.867483, Time  0.170072
2021-09-11 14:06:17.099738 : Epoch  5, Batch   3024, Loss  0.874722, Average Loss  0.867551, Time  0.171541
2021-09-11 14:06:18.692879 : Epoch  5, Batch   3025, Loss  0.862123, Average Loss  0.867713, Time  0.171893
2021-09-11 14:06:20.271809 : Epoch  5, Batch   3026, Loss  0.897762, Average Loss  0.867832, Time  0.174288
2021-09-11 14:06:21.869763 : Epoch  5, Batch   3027, Loss  0.847546, Average Loss  0.867883, Time  0.170241
2021-09-11 14:06:23.490743 : Epoch  5, Batch   3028, Loss  0.866313, Average Loss  0.867897, Time  0.171897
2021-09-11 14:06:25.091780 : Epoch  5, Batch   3029, Loss  0.884588, Average Loss  0.868030, Time  0.171354
2021-09-11 14:06:26.685030 : Epoch  5, Batch   3030, Loss  0.825761, Average Loss  0.867897, Time  0.173581
2021-09-11 14:06:28.275022 : Epoch  5, Batch   3031, Loss  0.872943, Average Loss  0.867938, Time  0.172125
2021-09-11 14:06:29.869529 : Epoch  5, Batch   3032, Loss  0.886087, Average Loss  0.868075, Time  0.169813
2021-09-11 14:06:31.456881 : Epoch  5, Batch   3033, Loss  0.876358, Average Loss  0.868148, Time  0.178528
2021-09-11 14:06:33.060794 : Epoch  5, Batch   3034, Loss  0.884250, Average Loss  0.868336, Time  0.172207
2021-09-11 14:06:34.642028 : Epoch  5, Batch   3035, Loss  0.863808, Average Loss  0.868181, Time  0.170200
2021-09-11 14:06:36.240818 : Epoch  5, Batch   3036, Loss  0.897093, Average Loss  0.868344, Time  0.171895
2021-09-11 14:06:37.825762 : Epoch  5, Batch   3037, Loss  0.855959, Average Loss  0.868455, Time  0.170589
2021-09-11 14:06:39.413755 : Epoch  5, Batch   3038, Loss  0.888737, Average Loss  0.868398, Time  0.169949
2021-09-11 14:06:41.022837 : Epoch  5, Batch   3039, Loss  0.875180, Average Loss  0.868341, Time  0.173298
2021-09-11 14:06:42.626762 : Epoch  5, Batch   3040, Loss  0.864214, Average Loss  0.868199, Time  0.179434
2021-09-11 14:06:44.231799 : Epoch  5, Batch   3041, Loss  0.871119, Average Loss  0.868181, Time  0.169945
2021-09-11 14:06:45.838788 : Epoch  5, Batch   3042, Loss  0.890349, Average Loss  0.868265, Time  0.169439
2021-09-11 14:06:47.472786 : Epoch  5, Batch   3043, Loss  0.860589, Average Loss  0.868195, Time  0.169643
2021-09-11 14:06:49.101761 : Epoch  5, Batch   3044, Loss  0.854780, Average Loss  0.868318, Time  0.171951
2021-09-11 14:06:50.737746 : Epoch  5, Batch   3045, Loss  0.863817, Average Loss  0.868365, Time  0.169676
2021-09-11 14:06:52.338800 : Epoch  5, Batch   3046, Loss  0.877312, Average Loss  0.868492, Time  0.169641
2021-09-11 14:06:53.958724 : Epoch  5, Batch   3047, Loss  0.881798, Average Loss  0.868765, Time  0.169953
2021-09-11 14:06:55.588826 : Epoch  5, Batch   3048, Loss  0.861804, Average Loss  0.868621, Time  0.169686
2021-09-11 14:06:57.186737 : Epoch  5, Batch   3049, Loss  0.830317, Average Loss  0.868440, Time  0.178549
2021-09-11 14:06:58.782030 : Epoch  5, Batch   3050, Loss  0.892730, Average Loss  0.868505, Time  0.173847
2021-09-11 14:07:00.390037 : Epoch  5, Batch   3051, Loss  0.886057, Average Loss  0.868628, Time  0.170748
2021-09-11 14:07:02.020792 : Epoch  5, Batch   3052, Loss  0.879162, Average Loss  0.868741, Time  0.172716
2021-09-11 14:07:03.612774 : Epoch  5, Batch   3053, Loss  0.862155, Average Loss  0.868770, Time  0.177463
2021-09-11 14:07:05.216831 : Epoch  5, Batch   3054, Loss  0.860841, Average Loss  0.868757, Time  0.170067
2021-09-11 14:07:06.829025 : Epoch  5, Batch   3055, Loss  0.854274, Average Loss  0.868622, Time  0.173668
2021-09-11 14:07:08.446072 : Epoch  5, Batch   3056, Loss  0.876078, Average Loss  0.868629, Time  0.175636
2021-09-11 14:07:56.010732 : CheckPoint: Validation Loss  0.00030520, Best Loss  0.00029019
2021-09-11 14:07:58.597025 : Epoch  5, Batch   1477, Loss  0.881286, Average Loss  0.869629, Time  0.238591
2021-09-11 14:08:01.201859 : Epoch  5, Batch   1478, Loss  0.852419, Average Loss  0.869466, Time  0.238386
2021-09-11 14:08:03.781895 : Epoch  5, Batch   1479, Loss  0.872627, Average Loss  0.869508, Time  0.237261
2021-09-11 14:08:06.372365 : Epoch  5, Batch   1480, Loss  0.883157, Average Loss  0.869500, Time  0.237431
2021-09-11 14:08:08.962218 : Epoch  5, Batch   1481, Loss  0.864581, Average Loss  0.869515, Time  0.237463
2021-09-11 14:08:11.539221 : Epoch  5, Batch   1482, Loss  0.874571, Average Loss  0.869471, Time  0.238686
2021-09-11 14:08:14.130357 : Epoch  5, Batch   1483, Loss  0.860353, Average Loss  0.869392, Time  0.237875
2021-09-11 14:08:16.738440 : Epoch  5, Batch   1484, Loss  0.890259, Average Loss  0.869443, Time  0.238882
2021-09-11 14:08:19.324045 : Epoch  5, Batch   1485, Loss  0.882316, Average Loss  0.869420, Time  0.237867
2021-09-11 14:08:21.921416 : Epoch  5, Batch   1486, Loss  0.871597, Average Loss  0.869365, Time  0.237370
2021-09-11 14:08:24.504365 : Epoch  5, Batch   1487, Loss  0.876451, Average Loss  0.869392, Time  0.237537
2021-09-11 14:08:27.124853 : Epoch  5, Batch   1488, Loss  0.863548, Average Loss  0.869325, Time  0.240285
2021-09-11 14:08:29.708741 : Epoch  5, Batch   1489, Loss  0.860634, Average Loss  0.869404, Time  0.237645
2021-09-11 14:08:32.315205 : Epoch  5, Batch   1490, Loss  0.869712, Average Loss  0.869446, Time  0.237501
2021-09-11 14:08:34.900542 : Epoch  5, Batch   1491, Loss  0.869662, Average Loss  0.869480, Time  0.237427
2021-09-11 14:08:37.481101 : Epoch  5, Batch   1492, Loss  0.899323, Average Loss  0.869597, Time  0.237461
2021-09-11 14:08:40.081339 : Epoch  5, Batch   1493, Loss  0.866310, Average Loss  0.869541, Time  0.239347
2021-09-11 14:08:42.700415 : Epoch  5, Batch   1494, Loss  0.881743, Average Loss  0.869570, Time  0.237399
2021-09-11 14:08:45.304116 : Epoch  5, Batch   1495, Loss  0.867571, Average Loss  0.869469, Time  0.238764
2021-09-11 14:08:47.902982 : Epoch  5, Batch   1496, Loss  0.873019, Average Loss  0.869459, Time  0.237854
2021-09-11 14:08:50.487131 : Epoch  5, Batch   1497, Loss  0.870882, Average Loss  0.869470, Time  0.237510
2021-09-11 14:08:53.066006 : Epoch  5, Batch   1498, Loss  0.877898, Average Loss  0.869519, Time  0.238402
2021-09-11 14:08:55.647840 : Epoch  5, Batch   1499, Loss  0.882570, Average Loss  0.869566, Time  0.238013
2021-09-11 14:08:58.227576 : Epoch  5, Batch   1500, Loss  0.876443, Average Loss  0.869638, Time  0.238293
2021-09-11 14:09:00.812841 : Epoch  5, Batch   1501, Loss  0.875700, Average Loss  0.869642, Time  0.238354
2021-09-11 14:09:03.405923 : Epoch  5, Batch   1502, Loss  0.858614, Average Loss  0.869501, Time  0.237859
2021-09-11 14:09:05.994981 : Epoch  5, Batch   1503, Loss  0.875141, Average Loss  0.869538, Time  0.237540
2021-09-11 14:09:08.578189 : Epoch  5, Batch   1504, Loss  0.878017, Average Loss  0.869542, Time  0.238545
2021-09-11 14:09:11.164396 : Epoch  5, Batch   1505, Loss  0.864276, Average Loss  0.869537, Time  0.237062
2021-09-11 14:09:13.748517 : Epoch  5, Batch   1506, Loss  0.873698, Average Loss  0.869592, Time  0.237888
2021-09-11 14:09:16.337342 : Epoch  5, Batch   1507, Loss  0.870556, Average Loss  0.869526, Time  0.237148
2021-09-11 14:09:18.918052 : Epoch  5, Batch   1508, Loss  0.858155, Average Loss  0.869441, Time  0.238002
2021-09-11 14:09:21.522269 : Epoch  5, Batch   1509, Loss  0.877217, Average Loss  0.869505, Time  0.237832
2021-09-11 14:09:24.105803 : Epoch  5, Batch   1510, Loss  0.875138, Average Loss  0.869606, Time  0.237844
2021-09-11 14:09:26.683805 : Epoch  5, Batch   1511, Loss  0.871478, Average Loss  0.869563, Time  0.238306
2021-09-11 14:09:29.278924 : Epoch  5, Batch   1512, Loss  0.891967, Average Loss  0.869710, Time  0.240954
2021-09-11 14:09:31.866428 : Epoch  5, Batch   1513, Loss  0.874176, Average Loss  0.869590, Time  0.237927
2021-09-11 14:09:34.451397 : Epoch  5, Batch   1514, Loss  0.867436, Average Loss  0.869596, Time  0.237708
2021-09-11 14:09:37.044057 : Epoch  5, Batch   1515, Loss  0.846317, Average Loss  0.869515, Time  0.237778
2021-09-11 14:09:39.624540 : Epoch  5, Batch   1516, Loss  0.882178, Average Loss  0.869595, Time  0.237576
2021-09-11 14:09:42.219576 : Epoch  5, Batch   1517, Loss  0.860419, Average Loss  0.869508, Time  0.239893
2021-09-11 14:09:44.833915 : Epoch  5, Batch   1518, Loss  0.882386, Average Loss  0.869463, Time  0.237801
2021-09-11 14:09:47.429948 : Epoch  5, Batch   1519, Loss  0.869811, Average Loss  0.869523, Time  0.237372
2021-09-11 14:09:50.013074 : Epoch  5, Batch   1520, Loss  0.861651, Average Loss  0.869593, Time  0.238019
2021-09-11 14:09:52.603394 : Epoch  5, Batch   1521, Loss  0.868768, Average Loss  0.869575, Time  0.237487
2021-09-11 14:09:55.196910 : Epoch  5, Batch   1522, Loss  0.834968, Average Loss  0.869530, Time  0.242385
2021-09-11 14:09:57.806802 : Epoch  5, Batch   1523, Loss  0.864808, Average Loss  0.869491, Time  0.238458
2021-09-11 14:10:00.395805 : Epoch  5, Batch   1524, Loss  0.854545, Average Loss  0.869373, Time  0.239862
2021-09-11 14:10:02.981841 : Epoch  5, Batch   1525, Loss  0.862785, Average Loss  0.869338, Time  0.238519
2021-09-11 14:10:05.577419 : Epoch  5, Batch   1526, Loss  0.865842, Average Loss  0.869436, Time  0.238117
2021-09-11 14:10:08.173019 : Epoch  5, Batch   1527, Loss  0.850170, Average Loss  0.869389, Time  0.238382
2021-09-11 14:10:10.763931 : Epoch  5, Batch   1528, Loss  0.873948, Average Loss  0.869429, Time  0.238325
2021-09-11 14:10:13.354824 : Epoch  5, Batch   1529, Loss  0.883229, Average Loss  0.869387, Time  0.239071
2021-09-11 14:10:15.944960 : Epoch  5, Batch   1530, Loss  0.857238, Average Loss  0.869402, Time  0.238663
2021-09-11 14:10:18.534967 : Epoch  5, Batch   1531, Loss  0.865316, Average Loss  0.869479, Time  0.237390
2021-09-11 14:10:21.125977 : Epoch  5, Batch   1532, Loss  0.888367, Average Loss  0.869585, Time  0.238419
2021-09-11 14:10:23.712961 : Epoch  5, Batch   1533, Loss  0.874639, Average Loss  0.869578, Time  0.238212
2021-09-11 14:10:26.295837 : Epoch  5, Batch   1534, Loss  0.897103, Average Loss  0.869654, Time  0.238711
2021-09-11 14:10:28.882052 : Epoch  5, Batch   1535, Loss  0.854274, Average Loss  0.869623, Time  0.237910
2021-09-11 14:10:31.476622 : Epoch  5, Batch   1536, Loss  0.844756, Average Loss  0.869531, Time  0.238296
2021-09-11 14:10:34.066074 : Epoch  5, Batch   1537, Loss  0.877269, Average Loss  0.869505, Time  0.237717
2021-09-11 14:10:36.645499 : Epoch  5, Batch   1538, Loss  0.854381, Average Loss  0.869418, Time  0.237247
2021-09-11 14:10:39.235066 : Epoch  5, Batch   1539, Loss  0.859638, Average Loss  0.869495, Time  0.238602
2021-09-11 14:10:41.815506 : Epoch  5, Batch   1540, Loss  0.870526, Average Loss  0.869592, Time  0.237661
2021-09-11 14:10:44.400009 : Epoch  5, Batch   1541, Loss  0.888202, Average Loss  0.869741, Time  0.237434
2021-09-11 14:10:46.990893 : Epoch  5, Batch   1542, Loss  0.848376, Average Loss  0.869566, Time  0.238894
2021-09-11 14:10:49.583912 : Epoch  5, Batch   1543, Loss  0.885804, Average Loss  0.869578, Time  0.237782
2021-09-11 14:10:52.174802 : Epoch  5, Batch   1544, Loss  0.878513, Average Loss  0.869700, Time  0.238239
2021-09-11 14:10:54.770134 : Epoch  5, Batch   1545, Loss  0.880746, Average Loss  0.869777, Time  0.237667
2021-09-11 14:10:57.353868 : Epoch  5, Batch   1546, Loss  0.883516, Average Loss  0.869958, Time  0.237520
2021-09-11 14:10:59.944866 : Epoch  5, Batch   1547, Loss  0.870355, Average Loss  0.869947, Time  0.237705
2021-09-11 14:11:02.528954 : Epoch  5, Batch   1548, Loss  0.889652, Average Loss  0.870016, Time  0.237852
2021-09-11 14:11:05.108243 : Epoch  5, Batch   1549, Loss  0.880637, Average Loss  0.870209, Time  0.237306
2021-09-11 14:11:07.699855 : Epoch  5, Batch   1550, Loss  0.872302, Average Loss  0.870232, Time  0.239274
2021-09-11 14:11:10.281267 : Epoch  5, Batch   1551, Loss  0.871651, Average Loss  0.870202, Time  0.237942
2021-09-11 14:11:12.867826 : Epoch  5, Batch   1552, Loss  0.886260, Average Loss  0.870202, Time  0.237759
2021-09-11 14:11:15.450154 : Epoch  5, Batch   1553, Loss  0.875032, Average Loss  0.870298, Time  0.239325
2021-09-11 14:11:18.032886 : Epoch  5, Batch   1554, Loss  0.855630, Average Loss  0.870169, Time  0.238478
2021-09-11 14:11:20.613920 : Epoch  5, Batch   1555, Loss  0.862812, Average Loss  0.870089, Time  0.237820
2021-09-11 14:11:23.229051 : Epoch  5, Batch   1556, Loss  0.860100, Average Loss  0.869908, Time  0.239801
2021-09-11 14:11:25.851430 : Epoch  5, Batch   1557, Loss  0.870720, Average Loss  0.869910, Time  0.240215
2021-09-11 14:11:28.483032 : Epoch  5, Batch   1558, Loss  0.864638, Average Loss  0.869852, Time  0.238204
2021-09-11 14:11:31.073951 : Epoch  5, Batch   1559, Loss  0.860831, Average Loss  0.869823, Time  0.241796
2021-09-11 14:11:33.659385 : Epoch  5, Batch   1560, Loss  0.871783, Average Loss  0.869927, Time  0.237676
2021-09-11 14:11:36.246394 : Epoch  5, Batch   1561, Loss  0.886745, Average Loss  0.870044, Time  0.237657
2021-09-11 14:11:38.835721 : Epoch  5, Batch   1562, Loss  0.895710, Average Loss  0.870198, Time  0.237770
2021-09-11 14:11:41.433028 : Epoch  5, Batch   1563, Loss  0.869651, Average Loss  0.870303, Time  0.241632
2021-09-11 14:11:44.015809 : Epoch  5, Batch   1564, Loss  0.883165, Average Loss  0.870339, Time  0.237709
2021-09-11 14:11:46.605049 : Epoch  5, Batch   1565, Loss  0.863125, Average Loss  0.870223, Time  0.238551
2021-09-11 14:11:49.213838 : Epoch  5, Batch   1566, Loss  0.879637, Average Loss  0.870289, Time  0.238843
2021-09-11 14:11:49.594712 : CheckPoint: Validation Loss  0.00061497, Best Loss  0.00057296
2021-09-11 14:11:51.248899 : Epoch  5, Batch   3057, Loss  0.838262, Average Loss  0.868461, Time  0.183375
2021-09-11 14:11:51.796816 : Epoch  5, Batch   1567, Loss  0.847465, Average Loss  0.870025, Time  0.238380
2021-09-11 14:11:52.835737 : Epoch  5, Batch   3058, Loss  0.871025, Average Loss  0.868580, Time  0.174416
2021-09-11 14:11:54.396038 : Epoch  5, Batch   1568, Loss  0.906667, Average Loss  0.870239, Time  0.243940
2021-09-11 14:11:54.459803 : Epoch  5, Batch   3059, Loss  0.839876, Average Loss  0.868397, Time  0.177742
2021-09-11 14:11:56.068014 : Epoch  5, Batch   3060, Loss  0.842778, Average Loss  0.868091, Time  0.171013
2021-09-11 14:11:56.984019 : Epoch  5, Batch   1569, Loss  0.884013, Average Loss  0.870302, Time  0.238310
2021-09-11 14:11:57.713771 : Epoch  5, Batch   3061, Loss  0.877554, Average Loss  0.868073, Time  0.174900
2021-09-11 14:11:59.314784 : Epoch  5, Batch   3062, Loss  0.840226, Average Loss  0.867901, Time  0.170032
2021-09-11 14:11:59.571920 : Epoch  5, Batch   1570, Loss  0.872871, Average Loss  0.870318, Time  0.237740
2021-09-11 14:12:00.965123 : Epoch  5, Batch   3063, Loss  0.884457, Average Loss  0.868107, Time  0.220215
2021-09-11 14:12:02.152205 : Epoch  5, Batch   1571, Loss  0.877578, Average Loss  0.870369, Time  0.239638
2021-09-11 14:12:02.573030 : Epoch  5, Batch   3064, Loss  0.885852, Average Loss  0.868111, Time  0.170055
2021-09-11 14:12:04.154850 : Epoch  5, Batch   3065, Loss  0.886606, Average Loss  0.868124, Time  0.173613
2021-09-11 14:12:04.742857 : Epoch  5, Batch   1572, Loss  0.871804, Average Loss  0.870363, Time  0.239135
2021-09-11 14:12:05.751765 : Epoch  5, Batch   3066, Loss  0.859738, Average Loss  0.868061, Time  0.170740
2021-09-11 14:12:07.340113 : Epoch  5, Batch   1573, Loss  0.876002, Average Loss  0.870334, Time  0.237887
2021-09-11 14:12:07.439030 : Epoch  5, Batch   3067, Loss  0.840754, Average Loss  0.867934, Time  0.170564
2021-09-11 14:12:09.037757 : Epoch  5, Batch   3068, Loss  0.877945, Average Loss  0.867809, Time  0.170125
2021-09-11 14:12:09.928445 : Epoch  5, Batch   1574, Loss  0.861700, Average Loss  0.870340, Time  0.238457
2021-09-11 14:12:10.617028 : Epoch  5, Batch   3069, Loss  0.885358, Average Loss  0.867946, Time  0.171361
2021-09-11 14:12:12.240915 : Epoch  5, Batch   3070, Loss  0.872629, Average Loss  0.867954, Time  0.171216
2021-09-11 14:12:12.523359 : Epoch  5, Batch   1575, Loss  0.874023, Average Loss  0.870451, Time  0.237607
2021-09-11 14:12:13.855039 : Epoch  5, Batch   3071, Loss  0.864250, Average Loss  0.867843, Time  0.174385
2021-09-11 14:12:15.463748 : Epoch  5, Batch   3072, Loss  0.877009, Average Loss  0.867611, Time  0.181119
2021-09-11 14:12:17.061829 : Epoch  5, Batch   3073, Loss  0.873400, Average Loss  0.867698, Time  0.170683
2021-09-11 14:12:18.661899 : Epoch  5, Batch   3074, Loss  0.863414, Average Loss  0.867699, Time  0.171036
2021-09-11 14:12:20.257846 : Epoch  5, Batch   3075, Loss  0.887921, Average Loss  0.867846, Time  0.173688
2021-09-11 14:12:21.842031 : Epoch  5, Batch   3076, Loss  0.891959, Average Loss  0.868068, Time  0.177042
2021-09-11 14:12:23.440797 : Epoch  5, Batch   3077, Loss  0.875503, Average Loss  0.868115, Time  0.174844
2021-09-11 14:12:23.994833 : Epoch  5, Batch   1576, Loss  0.866499, Average Loss  0.870378, Time  0.277515
2021-09-11 14:12:25.039031 : Epoch  5, Batch   3078, Loss  0.896229, Average Loss  0.868220, Time  0.170670
2021-09-11 14:12:26.618041 : Epoch  5, Batch   3079, Loss  0.869544, Average Loss  0.868258, Time  0.169948
2021-09-11 14:12:28.229738 : Epoch  5, Batch   3080, Loss  0.879515, Average Loss  0.868296, Time  0.170034
2021-09-11 14:12:29.828913 : Epoch  5, Batch   3081, Loss  0.861444, Average Loss  0.868306, Time  0.171124
2021-09-11 14:12:31.424279 : Epoch  5, Batch   3082, Loss  0.877879, Average Loss  0.868175, Time  0.170021
2021-09-11 14:12:33.054826 : Epoch  5, Batch   3083, Loss  0.842272, Average Loss  0.868113, Time  0.176751
2021-09-11 14:12:34.660763 : Epoch  5, Batch   3084, Loss  0.871249, Average Loss  0.868185, Time  0.169742
2021-09-11 14:12:36.263781 : Epoch  5, Batch   3085, Loss  0.889542, Average Loss  0.868333, Time  0.173846
2021-09-11 14:12:37.883035 : Epoch  5, Batch   3086, Loss  0.866052, Average Loss  0.868428, Time  0.173481
2021-09-11 14:12:39.501755 : Epoch  5, Batch   3087, Loss  0.833030, Average Loss  0.868135, Time  0.175846
2021-09-11 14:12:41.102031 : Epoch  5, Batch   3088, Loss  0.880112, Average Loss  0.868300, Time  0.176613
2021-09-11 14:12:42.712017 : Epoch  5, Batch   3089, Loss  0.880984, Average Loss  0.868461, Time  0.180790
2021-09-11 14:12:44.293029 : Epoch  5, Batch   3090, Loss  0.856559, Average Loss  0.868481, Time  0.171828
2021-09-11 14:12:45.872035 : Epoch  5, Batch   3091, Loss  0.876676, Average Loss  0.868537, Time  0.170496
2021-09-11 14:12:47.466022 : Epoch  5, Batch   3092, Loss  0.875687, Average Loss  0.868504, Time  0.172704
2021-09-11 14:12:49.037779 : Epoch  5, Batch   3093, Loss  0.850163, Average Loss  0.868469, Time  0.170041
2021-09-11 14:12:50.630261 : Epoch  5, Batch   3094, Loss  0.877093, Average Loss  0.868467, Time  0.170456
2021-09-11 14:12:52.227928 : Epoch  5, Batch   3095, Loss  0.888635, Average Loss  0.868595, Time  0.170816
2021-09-11 14:12:53.832831 : Epoch  5, Batch   3096, Loss  0.868007, Average Loss  0.868690, Time  0.170233
2021-09-11 14:12:55.430745 : Epoch  5, Batch   3097, Loss  0.876222, Average Loss  0.868710, Time  0.170246
2021-09-11 14:12:57.054846 : Epoch  5, Batch   3098, Loss  0.877069, Average Loss  0.868742, Time  0.173197
2021-09-11 14:12:58.681767 : Epoch  5, Batch   3099, Loss  0.887115, Average Loss  0.869015, Time  0.177115
2021-09-11 14:13:00.291868 : Epoch  5, Batch   3100, Loss  0.880364, Average Loss  0.869146, Time  0.171472
2021-09-11 14:13:01.900761 : Epoch  5, Batch   3101, Loss  0.881725, Average Loss  0.869303, Time  0.172050
2021-09-11 14:13:03.511028 : Epoch  5, Batch   3102, Loss  0.860658, Average Loss  0.869299, Time  0.170032
2021-09-11 14:13:05.141777 : Epoch  5, Batch   3103, Loss  0.860264, Average Loss  0.869184, Time  0.179724
2021-09-11 14:13:06.775761 : Epoch  5, Batch   3104, Loss  0.880985, Average Loss  0.869136, Time  0.169882
2021-09-11 14:13:08.376071 : Epoch  5, Batch   3105, Loss  0.833702, Average Loss  0.868999, Time  0.170117
2021-09-11 14:13:09.973070 : Epoch  5, Batch   3106, Loss  0.878855, Average Loss  0.868966, Time  0.169872
2021-09-11 14:13:11.563871 : Epoch  5, Batch   3107, Loss  0.863186, Average Loss  0.868853, Time  0.171890
2021-09-11 14:13:13.193030 : Epoch  5, Batch   3108, Loss  0.877506, Average Loss  0.868962, Time  0.175528
2021-09-11 14:13:14.812789 : Epoch  5, Batch   3109, Loss  0.861731, Average Loss  0.868967, Time  0.170180
2021-09-11 14:13:16.418773 : Epoch  5, Batch   3110, Loss  0.883999, Average Loss  0.869024, Time  0.171045
2021-09-11 14:13:18.016752 : Epoch  5, Batch   3111, Loss  0.882922, Average Loss  0.869121, Time  0.174186
2021-09-11 14:13:19.608746 : Epoch  5, Batch   3112, Loss  0.859231, Average Loss  0.869228, Time  0.173656
2021-09-11 14:13:21.196756 : Epoch  5, Batch   3113, Loss  0.853486, Average Loss  0.869090, Time  0.170575
2021-09-11 14:13:22.778846 : Epoch  5, Batch   3114, Loss  0.898773, Average Loss  0.869173, Time  0.170007
2021-09-11 14:13:24.378837 : Epoch  5, Batch   3115, Loss  0.853035, Average Loss  0.869053, Time  0.170274
2021-09-11 14:13:25.959025 : Epoch  5, Batch   3116, Loss  0.863277, Average Loss  0.868859, Time  0.175069
2021-09-11 14:13:27.560829 : Epoch  5, Batch   3117, Loss  0.817931, Average Loss  0.868657, Time  0.177339
2021-09-11 14:13:29.156031 : Epoch  5, Batch   3118, Loss  0.874230, Average Loss  0.868668, Time  0.169621
2021-09-11 14:13:30.730549 : Epoch  5, Batch   3119, Loss  0.899800, Average Loss  0.868884, Time  0.170791
2021-09-11 14:13:32.358827 : Epoch  5, Batch   3120, Loss  0.862986, Average Loss  0.868980, Time  0.170637
2021-09-11 14:13:33.977017 : Epoch  5, Batch   3121, Loss  0.870176, Average Loss  0.869065, Time  0.170953
2021-09-11 14:13:35.566960 : Epoch  5, Batch   3122, Loss  0.895036, Average Loss  0.869055, Time  0.173782
2021-09-11 14:13:37.176734 : Epoch  5, Batch   3123, Loss  0.866173, Average Loss  0.869134, Time  0.170918
2021-09-11 14:13:38.775763 : Epoch  5, Batch   3124, Loss  0.877229, Average Loss  0.869089, Time  0.174129
2021-09-11 14:13:40.399735 : Epoch  5, Batch   3125, Loss  0.887307, Average Loss  0.869159, Time  0.180278
2021-09-11 14:13:42.037763 : Epoch  5, Batch   3126, Loss  0.856671, Average Loss  0.869134, Time  0.169791
2021-09-11 14:13:43.627019 : Epoch  5, Batch   3127, Loss  0.886914, Average Loss  0.869094, Time  0.171936
2021-09-11 14:13:45.221025 : Epoch  5, Batch   3128, Loss  0.859809, Average Loss  0.869135, Time  0.172496
2021-09-11 14:13:46.830945 : Epoch  5, Batch   3129, Loss  0.877403, Average Loss  0.869162, Time  0.170236
2021-09-11 14:13:48.441917 : Epoch  5, Batch   3130, Loss  0.853221, Average Loss  0.869082, Time  0.173664
2021-09-11 14:13:50.037848 : Epoch  5, Batch   3131, Loss  0.900621, Average Loss  0.869323, Time  0.173100
2021-09-11 14:13:51.712016 : Epoch  5, Batch   3132, Loss  0.882925, Average Loss  0.869415, Time  0.174781
2021-09-11 14:13:53.322060 : Epoch  5, Batch   3133, Loss  0.869158, Average Loss  0.869313, Time  0.175835
2021-09-11 14:13:54.922841 : Epoch  5, Batch   3134, Loss  0.869338, Average Loss  0.869350, Time  0.173872
2021-09-11 14:13:56.521031 : Epoch  5, Batch   3135, Loss  0.874161, Average Loss  0.869244, Time  0.170159
2021-09-11 14:13:58.148739 : Epoch  5, Batch   3136, Loss  0.889293, Average Loss  0.869269, Time  0.174286
2021-09-11 14:13:59.764036 : Epoch  5, Batch   3137, Loss  0.859581, Average Loss  0.869429, Time  0.170549
2021-09-11 14:14:01.374977 : Epoch  5, Batch   3138, Loss  0.886561, Average Loss  0.869533, Time  0.169835
2021-09-11 14:14:02.981759 : Epoch  5, Batch   3139, Loss  0.884696, Average Loss  0.869704, Time  0.169869
2021-09-11 14:14:04.618871 : Epoch  5, Batch   3140, Loss  0.883957, Average Loss  0.869835, Time  0.171530
2021-09-11 14:14:06.233004 : Epoch  5, Batch   3141, Loss  0.892572, Average Loss  0.870037, Time  0.169804
2021-09-11 14:14:07.838982 : Epoch  5, Batch   3142, Loss  0.867529, Average Loss  0.870003, Time  0.169592
2021-09-11 14:14:09.454983 : Epoch  5, Batch   3143, Loss  0.880297, Average Loss  0.870354, Time  0.169235
2021-09-11 14:14:11.077993 : Epoch  5, Batch   3144, Loss  0.878262, Average Loss  0.870247, Time  0.171513
2021-09-11 14:14:12.700982 : Epoch  5, Batch   3145, Loss  0.844152, Average Loss  0.870024, Time  0.169661
2021-09-11 14:14:14.328001 : Epoch  5, Batch   3146, Loss  0.870336, Average Loss  0.870174, Time  0.169926
2021-09-11 14:14:15.944859 : Epoch  5, Batch   3147, Loss  0.880707, Average Loss  0.870259, Time  0.171439
2021-09-11 14:14:17.555029 : Epoch  5, Batch   3148, Loss  0.851675, Average Loss  0.870242, Time  0.170363
2021-09-11 14:14:19.181838 : Epoch  5, Batch   3149, Loss  0.888209, Average Loss  0.870289, Time  0.169971
2021-09-11 14:14:20.801032 : Epoch  5, Batch   3150, Loss  0.873371, Average Loss  0.870260, Time  0.170276
2021-09-11 14:14:22.429031 : Epoch  5, Batch   3151, Loss  0.872284, Average Loss  0.870116, Time  0.169970
2021-09-11 14:14:24.062023 : Epoch  5, Batch   3152, Loss  0.853679, Average Loss  0.870086, Time  0.176786
2021-09-11 14:14:25.681862 : Epoch  5, Batch   3153, Loss  0.854250, Average Loss  0.870052, Time  0.176258
2021-09-11 14:14:27.305807 : Epoch  5, Batch   3154, Loss  0.879217, Average Loss  0.870189, Time  0.171393
2021-09-11 14:14:28.915055 : Epoch  5, Batch   3155, Loss  0.859679, Average Loss  0.870141, Time  0.170029
2021-09-11 14:14:35.968087 : Epoch  5, Batch   3156, Loss  0.849645, Average Loss  0.870015, Time  0.186377
2021-09-11 14:16:25.144769 : CheckPoint: Validation Loss  0.00030990, Best Loss  0.00029019
2021-09-11 14:16:27.748256 : Epoch  5, Batch   1577, Loss  0.860142, Average Loss  0.870316, Time  0.240284
2021-09-11 14:16:30.343836 : Epoch  5, Batch   1578, Loss  0.878945, Average Loss  0.870362, Time  0.239823
2021-09-11 14:16:32.927920 : Epoch  5, Batch   1579, Loss  0.872193, Average Loss  0.870376, Time  0.237159
2021-09-11 14:16:35.527930 : Epoch  5, Batch   1580, Loss  0.890151, Average Loss  0.870580, Time  0.238362
2021-09-11 14:16:38.128778 : Epoch  5, Batch   1581, Loss  0.865878, Average Loss  0.870612, Time  0.238751
2021-09-11 14:16:40.745375 : Epoch  5, Batch   1582, Loss  0.869254, Average Loss  0.870539, Time  0.239163
2021-09-11 14:16:43.341491 : Epoch  5, Batch   1583, Loss  0.885251, Average Loss  0.870683, Time  0.237660
2021-09-11 14:16:45.935555 : Epoch  5, Batch   1584, Loss  0.878998, Average Loss  0.870668, Time  0.238121
2021-09-11 14:16:48.524148 : Epoch  5, Batch   1585, Loss  0.868746, Average Loss  0.870723, Time  0.237804
2021-09-11 14:16:51.114399 : Epoch  5, Batch   1586, Loss  0.872459, Average Loss  0.870714, Time  0.237163
2021-09-11 14:16:53.705104 : Epoch  5, Batch   1587, Loss  0.871901, Average Loss  0.870751, Time  0.237697
2021-09-11 14:16:56.291394 : Epoch  5, Batch   1588, Loss  0.882597, Average Loss  0.870807, Time  0.237041
2021-09-11 14:16:58.917091 : Epoch  5, Batch   1589, Loss  0.876277, Average Loss  0.870861, Time  0.237960
2021-09-11 14:17:01.508144 : Epoch  5, Batch   1590, Loss  0.885004, Average Loss  0.870975, Time  0.237870
2021-09-11 14:17:04.103060 : Epoch  5, Batch   1591, Loss  0.887136, Average Loss  0.871049, Time  0.238246
2021-09-11 14:17:06.720024 : Epoch  5, Batch   1592, Loss  0.872074, Average Loss  0.871048, Time  0.242255
2021-09-11 14:17:09.318335 : Epoch  5, Batch   1593, Loss  0.856963, Average Loss  0.871031, Time  0.238664
2021-09-11 14:17:11.920102 : Epoch  5, Batch   1594, Loss  0.887391, Average Loss  0.871107, Time  0.238536
2021-09-11 14:17:14.520376 : Epoch  5, Batch   1595, Loss  0.856842, Average Loss  0.871021, Time  0.237208
2021-09-11 14:17:17.109435 : Epoch  5, Batch   1596, Loss  0.878229, Average Loss  0.870934, Time  0.237139
2021-09-11 14:17:19.714948 : Epoch  5, Batch   1597, Loss  0.862830, Average Loss  0.870920, Time  0.237977
2021-09-11 14:17:22.304543 : Epoch  5, Batch   1598, Loss  0.872741, Average Loss  0.870937, Time  0.242455
2021-09-11 14:17:24.910983 : Epoch  5, Batch   1599, Loss  0.875578, Average Loss  0.871022, Time  0.237745
2021-09-11 14:17:27.519483 : Epoch  5, Batch   1600, Loss  0.871399, Average Loss  0.870991, Time  0.237801
2021-09-11 14:17:30.140238 : Epoch  5, Batch   1601, Loss  0.843776, Average Loss  0.870878, Time  0.237904
2021-09-11 14:17:32.731933 : Epoch  5, Batch   1602, Loss  0.874113, Average Loss  0.870939, Time  0.238241
2021-09-11 14:17:35.323376 : Epoch  5, Batch   1603, Loss  0.845463, Average Loss  0.870818, Time  0.237488
2021-09-11 14:17:37.932090 : Epoch  5, Batch   1604, Loss  0.855639, Average Loss  0.870758, Time  0.238328
2021-09-11 14:17:40.546899 : Epoch  5, Batch   1605, Loss  0.862889, Average Loss  0.870644, Time  0.237470
2021-09-11 14:17:43.161400 : Epoch  5, Batch   1606, Loss  0.866112, Average Loss  0.870558, Time  0.238176
2021-09-11 14:17:45.748528 : Epoch  5, Batch   1607, Loss  0.851420, Average Loss  0.870481, Time  0.238164
2021-09-11 14:17:48.358160 : Epoch  5, Batch   1608, Loss  0.855435, Average Loss  0.870432, Time  0.239460
2021-09-11 14:17:50.959102 : Epoch  5, Batch   1609, Loss  0.872503, Average Loss  0.870378, Time  0.237823
2021-09-11 14:17:53.538399 : Epoch  5, Batch   1610, Loss  0.862178, Average Loss  0.870356, Time  0.237212
2021-09-11 14:17:56.137421 : Epoch  5, Batch   1611, Loss  0.860045, Average Loss  0.870254, Time  0.238059
2021-09-11 14:17:58.735833 : Epoch  5, Batch   1612, Loss  0.869737, Average Loss  0.870109, Time  0.238079
2021-09-11 14:18:01.319584 : Epoch  5, Batch   1613, Loss  0.880950, Average Loss  0.870138, Time  0.238288
2021-09-11 14:18:03.914877 : Epoch  5, Batch   1614, Loss  0.859006, Average Loss  0.870022, Time  0.237643
2021-09-11 14:18:06.504070 : Epoch  5, Batch   1615, Loss  0.865552, Average Loss  0.870075, Time  0.237852
2021-09-11 14:18:09.101416 : Epoch  5, Batch   1616, Loss  0.878079, Average Loss  0.870095, Time  0.237270
2021-09-11 14:18:11.691939 : Epoch  5, Batch   1617, Loss  0.862199, Average Loss  0.870046, Time  0.237627
2021-09-11 14:18:14.276868 : Epoch  5, Batch   1618, Loss  0.861814, Average Loss  0.869981, Time  0.237813
2021-09-11 14:18:16.874236 : Epoch  5, Batch   1619, Loss  0.885927, Average Loss  0.870092, Time  0.238643
2021-09-11 14:18:19.475841 : Epoch  5, Batch   1620, Loss  0.867315, Average Loss  0.870029, Time  0.240831
2021-09-11 14:18:22.071399 : Epoch  5, Batch   1621, Loss  0.863337, Average Loss  0.869955, Time  0.237107
2021-09-11 14:18:24.671986 : Epoch  5, Batch   1622, Loss  0.870806, Average Loss  0.869967, Time  0.238680
2021-09-11 14:18:27.256184 : Epoch  5, Batch   1623, Loss  0.878277, Average Loss  0.870102, Time  0.238316
2021-09-11 14:18:29.852436 : Epoch  5, Batch   1624, Loss  0.875163, Average Loss  0.870110, Time  0.240617
2021-09-11 14:18:32.455394 : Epoch  5, Batch   1625, Loss  0.868374, Average Loss  0.870178, Time  0.239254
2021-09-11 14:18:35.068866 : Epoch  5, Batch   1626, Loss  0.864294, Average Loss  0.870103, Time  0.239925
2021-09-11 14:18:37.678667 : Epoch  5, Batch   1627, Loss  0.869008, Average Loss  0.870083, Time  0.238196
2021-09-11 14:18:40.274103 : Epoch  5, Batch   1628, Loss  0.855952, Average Loss  0.870025, Time  0.237578
2021-09-11 14:18:42.896555 : Epoch  5, Batch   1629, Loss  0.845369, Average Loss  0.869979, Time  0.237499
2021-09-11 14:18:45.492856 : Epoch  5, Batch   1630, Loss  0.871603, Average Loss  0.870000, Time  0.238540
2021-09-11 14:18:48.086222 : Epoch  5, Batch   1631, Loss  0.879500, Average Loss  0.870116, Time  0.238065
2021-09-11 14:18:50.676563 : Epoch  5, Batch   1632, Loss  0.850024, Average Loss  0.869996, Time  0.237469
2021-09-11 14:18:53.271613 : Epoch  5, Batch   1633, Loss  0.865191, Average Loss  0.869990, Time  0.238158
2021-09-11 14:18:55.897376 : Epoch  5, Batch   1634, Loss  0.886615, Average Loss  0.870074, Time  0.242666
2021-09-11 14:18:58.518128 : Epoch  5, Batch   1635, Loss  0.891146, Average Loss  0.870103, Time  0.237796
2021-09-11 14:19:01.100330 : Epoch  5, Batch   1636, Loss  0.864606, Average Loss  0.870035, Time  0.237146
2021-09-11 14:19:03.693809 : Epoch  5, Batch   1637, Loss  0.870706, Average Loss  0.870072, Time  0.237108
2021-09-11 14:19:06.285368 : Epoch  5, Batch   1638, Loss  0.889081, Average Loss  0.870208, Time  0.237062
2021-09-11 14:19:08.886005 : Epoch  5, Batch   1639, Loss  0.863104, Average Loss  0.870236, Time  0.240706
2021-09-11 14:19:11.481050 : Epoch  5, Batch   1640, Loss  0.862337, Average Loss  0.870241, Time  0.237490
2021-09-11 14:19:14.074354 : Epoch  5, Batch   1641, Loss  0.873305, Average Loss  0.870308, Time  0.237419
2021-09-11 14:19:16.666553 : Epoch  5, Batch   1642, Loss  0.885102, Average Loss  0.870458, Time  0.237007
2021-09-11 14:19:17.096714 : CheckPoint: Validation Loss  0.00061196, Best Loss  0.00057296
2021-09-11 14:19:18.715838 : Epoch  5, Batch   3157, Loss  0.857872, Average Loss  0.869972, Time  0.180369
2021-09-11 14:19:19.258394 : Epoch  5, Batch   1643, Loss  0.880688, Average Loss  0.870476, Time  0.237299
2021-09-11 14:19:20.338759 : Epoch  5, Batch   3158, Loss  0.875131, Average Loss  0.870061, Time  0.177443
2021-09-11 14:19:21.847020 : Epoch  5, Batch   1644, Loss  0.861126, Average Loss  0.870401, Time  0.237422
2021-09-11 14:19:21.956749 : Epoch  5, Batch   3159, Loss  0.864517, Average Loss  0.870046, Time  0.170639
2021-09-11 14:19:23.535759 : Epoch  5, Batch   3160, Loss  0.820166, Average Loss  0.869586, Time  0.170579
2021-09-11 14:19:24.445937 : Epoch  5, Batch   1645, Loss  0.859416, Average Loss  0.870487, Time  0.240675
2021-09-11 14:19:25.144850 : Epoch  5, Batch   3161, Loss  0.861696, Average Loss  0.869619, Time  0.171706
2021-09-11 14:19:26.754769 : Epoch  5, Batch   3162, Loss  0.885833, Average Loss  0.869776, Time  0.170874
2021-09-11 14:19:27.043842 : Epoch  5, Batch   1646, Loss  0.846195, Average Loss  0.870320, Time  0.239731
2021-09-11 14:19:28.364759 : Epoch  5, Batch   3163, Loss  0.867351, Average Loss  0.869701, Time  0.172365
2021-09-11 14:19:29.639371 : Epoch  5, Batch   1647, Loss  0.879908, Average Loss  0.870379, Time  0.237316
2021-09-11 14:19:29.986881 : Epoch  5, Batch   3164, Loss  0.871308, Average Loss  0.869624, Time  0.170413
2021-09-11 14:19:31.580793 : Epoch  5, Batch   3165, Loss  0.886535, Average Loss  0.869783, Time  0.171491
2021-09-11 14:19:32.233600 : Epoch  5, Batch   1648, Loss  0.866778, Average Loss  0.870347, Time  0.237724
2021-09-11 14:19:33.180036 : Epoch  5, Batch   3166, Loss  0.876727, Average Loss  0.869792, Time  0.170654
2021-09-11 14:19:34.809844 : Epoch  5, Batch   3167, Loss  0.884798, Average Loss  0.869798, Time  0.185023
2021-09-11 14:19:34.829678 : Epoch  5, Batch   1649, Loss  0.861171, Average Loss  0.870363, Time  0.240914
2021-09-11 14:19:36.436070 : Epoch  5, Batch   3168, Loss  0.874011, Average Loss  0.869850, Time  0.170535
2021-09-11 14:19:37.452568 : Epoch  5, Batch   1650, Loss  0.868676, Average Loss  0.870395, Time  0.241513
2021-09-11 14:19:38.054808 : Epoch  5, Batch   3169, Loss  0.900939, Average Loss  0.870034, Time  0.169932
2021-09-11 14:19:39.682763 : Epoch  5, Batch   3170, Loss  0.851681, Average Loss  0.870048, Time  0.173269
2021-09-11 14:19:40.059381 : Epoch  5, Batch   1651, Loss  0.872282, Average Loss  0.870377, Time  0.237525
2021-09-11 14:19:41.300027 : Epoch  5, Batch   3171, Loss  0.858468, Average Loss  0.869816, Time  0.171806
2021-09-11 14:19:42.650382 : Epoch  5, Batch   1652, Loss  0.874562, Average Loss  0.870435, Time  0.237478
2021-09-11 14:19:42.903744 : Epoch  5, Batch   3172, Loss  0.843565, Average Loss  0.869603, Time  0.172555
2021-09-11 14:19:44.507816 : Epoch  5, Batch   3173, Loss  0.864989, Average Loss  0.869656, Time  0.169942
2021-09-11 14:19:45.245648 : Epoch  5, Batch   1653, Loss  0.851855, Average Loss  0.870383, Time  0.237201
2021-09-11 14:19:46.126841 : Epoch  5, Batch   3174, Loss  0.876587, Average Loss  0.869695, Time  0.176826
2021-09-11 14:19:47.732939 : Epoch  5, Batch   3175, Loss  0.862270, Average Loss  0.869810, Time  0.174195
2021-09-11 14:19:47.858558 : Epoch  5, Batch   1654, Loss  0.879988, Average Loss  0.870508, Time  0.237998
2021-09-11 14:19:49.329729 : Epoch  5, Batch   3176, Loss  0.915191, Average Loss  0.870109, Time  0.171493
2021-09-11 14:19:50.442203 : Epoch  5, Batch   1655, Loss  0.872176, Average Loss  0.870529, Time  0.240247
2021-09-11 14:19:50.925863 : Epoch  5, Batch   3177, Loss  0.865399, Average Loss  0.869957, Time  0.173878
2021-09-11 14:19:52.535824 : Epoch  5, Batch   3178, Loss  0.890969, Average Loss  0.870131, Time  0.170592
2021-09-11 14:19:53.031194 : Epoch  5, Batch   1656, Loss  0.842666, Average Loss  0.870338, Time  0.238088
2021-09-11 14:19:54.160872 : Epoch  5, Batch   3179, Loss  0.887748, Average Loss  0.870278, Time  0.172325
2021-09-11 14:19:55.617565 : Epoch  5, Batch   1657, Loss  0.849364, Average Loss  0.870249, Time  0.239705
2021-09-11 14:19:55.773803 : Epoch  5, Batch   3180, Loss  0.850433, Average Loss  0.870194, Time  0.172739
2021-09-11 14:19:57.388742 : Epoch  5, Batch   3181, Loss  0.890628, Average Loss  0.870501, Time  0.170130
2021-09-11 14:19:58.220310 : Epoch  5, Batch   1658, Loss  0.895257, Average Loss  0.870406, Time  0.238474
2021-09-11 14:19:58.988755 : Epoch  5, Batch   3182, Loss  0.854933, Average Loss  0.870421, Time  0.171022
2021-09-11 14:20:00.602853 : Epoch  5, Batch   3183, Loss  0.863751, Average Loss  0.870535, Time  0.180369
2021-09-11 14:20:00.808801 : Epoch  5, Batch   1659, Loss  0.880823, Average Loss  0.870445, Time  0.238209
2021-09-11 14:20:02.224850 : Epoch  5, Batch   3184, Loss  0.861318, Average Loss  0.870436, Time  0.172067
2021-09-11 14:20:03.413200 : Epoch  5, Batch   1660, Loss  0.887822, Average Loss  0.870526, Time  0.237884
2021-09-11 14:20:03.832836 : Epoch  5, Batch   3185, Loss  0.870527, Average Loss  0.870448, Time  0.170829
2021-09-11 14:20:05.439030 : Epoch  5, Batch   3186, Loss  0.859279, Average Loss  0.870378, Time  0.173127
2021-09-11 14:20:06.009374 : Epoch  5, Batch   1661, Loss  0.868536, Average Loss  0.870596, Time  0.240007
2021-09-11 14:20:07.042783 : Epoch  5, Batch   3187, Loss  0.862556, Average Loss  0.870372, Time  0.173438
2021-09-11 14:20:08.601246 : Epoch  5, Batch   1662, Loss  0.874830, Average Loss  0.870687, Time  0.239263
2021-09-11 14:20:08.650739 : Epoch  5, Batch   3188, Loss  0.882551, Average Loss  0.870467, Time  0.170862
2021-09-11 14:20:10.249745 : Epoch  5, Batch   3189, Loss  0.871984, Average Loss  0.870546, Time  0.170816
2021-09-11 14:20:11.200553 : Epoch  5, Batch   1663, Loss  0.886437, Average Loss  0.870740, Time  0.241848
2021-09-11 14:20:11.863030 : Epoch  5, Batch   3190, Loss  0.866695, Average Loss  0.870536, Time  0.172470
2021-09-11 14:20:13.462751 : Epoch  5, Batch   3191, Loss  0.862560, Average Loss  0.870382, Time  0.172019
2021-09-11 14:20:13.794004 : Epoch  5, Batch   1664, Loss  0.855343, Average Loss  0.870656, Time  0.238240
2021-09-11 14:20:15.088727 : Epoch  5, Batch   3192, Loss  0.858610, Average Loss  0.870242, Time  0.170089
2021-09-11 14:20:16.371323 : Epoch  5, Batch   1665, Loss  0.866265, Average Loss  0.870593, Time  0.241758
2021-09-11 14:20:16.691812 : Epoch  5, Batch   3193, Loss  0.875134, Average Loss  0.870235, Time  0.171989
2021-09-11 14:20:18.286804 : Epoch  5, Batch   3194, Loss  0.864818, Average Loss  0.870047, Time  0.179752
2021-09-11 14:20:18.961165 : Epoch  5, Batch   1666, Loss  0.850216, Average Loss  0.870521, Time  0.237503
2021-09-11 14:20:19.865743 : Epoch  5, Batch   3195, Loss  0.874929, Average Loss  0.870085, Time  0.173912
2021-09-11 14:20:21.458831 : Epoch  5, Batch   3196, Loss  0.869641, Average Loss  0.870233, Time  0.171399
2021-09-11 14:20:21.572834 : Epoch  5, Batch   1667, Loss  0.857321, Average Loss  0.870505, Time  0.238174
2021-09-11 14:20:23.060795 : Epoch  5, Batch   3197, Loss  0.873636, Average Loss  0.870170, Time  0.172304
2021-09-11 14:20:24.146386 : Epoch  5, Batch   1668, Loss  0.868098, Average Loss  0.870591, Time  0.237266
2021-09-11 14:20:24.677028 : Epoch  5, Batch   3198, Loss  0.886967, Average Loss  0.870170, Time  0.171175
2021-09-11 14:20:26.289799 : Epoch  5, Batch   3199, Loss  0.862394, Average Loss  0.870130, Time  0.170448
2021-09-11 14:20:26.736372 : Epoch  5, Batch   1669, Loss  0.832373, Average Loss  0.870353, Time  0.237770
2021-09-11 14:20:27.901792 : Epoch  5, Batch   3200, Loss  0.900726, Average Loss  0.870357, Time  0.171848
2021-09-11 14:20:29.317016 : Epoch  5, Batch   1670, Loss  0.879754, Average Loss  0.870385, Time  0.238591
2021-09-11 14:20:29.499837 : Epoch  5, Batch   3201, Loss  0.877600, Average Loss  0.870211, Time  0.171075
2021-09-11 14:20:31.113021 : Epoch  5, Batch   3202, Loss  0.876161, Average Loss  0.870258, Time  0.170558
2021-09-11 14:20:31.901952 : Epoch  5, Batch   1671, Loss  0.859228, Average Loss  0.870370, Time  0.237381
2021-09-11 14:20:32.691773 : Epoch  5, Batch   3203, Loss  0.871856, Average Loss  0.870394, Time  0.172372
2021-09-11 14:20:34.264847 : Epoch  5, Batch   3204, Loss  0.866034, Average Loss  0.870268, Time  0.174081
2021-09-11 14:20:34.496495 : Epoch  5, Batch   1672, Loss  0.858853, Average Loss  0.870380, Time  0.238097
2021-09-11 14:20:35.875011 : Epoch  5, Batch   3205, Loss  0.868422, Average Loss  0.870363, Time  0.176496
2021-09-11 14:20:37.119245 : Epoch  5, Batch   1673, Loss  0.864587, Average Loss  0.870357, Time  0.238483
2021-09-11 14:20:37.472782 : Epoch  5, Batch   3206, Loss  0.877049, Average Loss  0.870416, Time  0.170229
2021-09-11 14:20:39.040768 : Epoch  5, Batch   3207, Loss  0.906393, Average Loss  0.870493, Time  0.170861
2021-09-11 14:20:39.716384 : Epoch  5, Batch   1674, Loss  0.868276, Average Loss  0.870318, Time  0.242112
2021-09-11 14:20:40.641803 : Epoch  5, Batch   3208, Loss  0.876431, Average Loss  0.870326, Time  0.176305
2021-09-11 14:20:42.251783 : Epoch  5, Batch   3209, Loss  0.858985, Average Loss  0.870256, Time  0.170303
2021-09-11 14:20:42.310233 : Epoch  5, Batch   1675, Loss  0.896082, Average Loss  0.870351, Time  0.238474
2021-09-11 14:20:43.857752 : Epoch  5, Batch   3210, Loss  0.848770, Average Loss  0.870170, Time  0.170384
2021-09-11 14:20:44.895004 : Epoch  5, Batch   1676, Loss  0.873956, Average Loss  0.870265, Time  0.238524
2021-09-11 14:20:45.456771 : Epoch  5, Batch   3211, Loss  0.860189, Average Loss  0.870217, Time  0.176617
2021-09-11 14:20:47.049741 : Epoch  5, Batch   3212, Loss  0.868060, Average Loss  0.870277, Time  0.174312
2021-09-11 14:20:48.654219 : Epoch  5, Batch   3213, Loss  0.874965, Average Loss  0.870405, Time  0.170233
2021-09-11 14:20:50.232028 : Epoch  5, Batch   3214, Loss  0.880146, Average Loss  0.870533, Time  0.170960
2021-09-11 14:20:51.823741 : Epoch  5, Batch   3215, Loss  0.860864, Average Loss  0.870538, Time  0.169775
2021-09-11 14:20:53.425770 : Epoch  5, Batch   3216, Loss  0.829422, Average Loss  0.870500, Time  0.175672
2021-09-11 14:20:55.031763 : Epoch  5, Batch   3217, Loss  0.874790, Average Loss  0.870467, Time  0.170481
2021-09-11 14:20:56.608908 : Epoch  5, Batch   3218, Loss  0.834708, Average Loss  0.870233, Time  0.173965
2021-09-11 14:20:58.179741 : Epoch  5, Batch   3219, Loss  0.891221, Average Loss  0.870521, Time  0.171654
2021-09-11 14:20:59.778737 : Epoch  5, Batch   3220, Loss  0.888540, Average Loss  0.870626, Time  0.169759
2021-09-11 14:21:01.385741 : Epoch  5, Batch   3221, Loss  0.886580, Average Loss  0.870624, Time  0.170269
2021-09-11 14:21:02.981797 : Epoch  5, Batch   3222, Loss  0.880850, Average Loss  0.870735, Time  0.169788
2021-09-11 14:21:04.575024 : Epoch  5, Batch   3223, Loss  0.861949, Average Loss  0.870634, Time  0.175467
2021-09-11 14:21:06.142968 : Epoch  5, Batch   3224, Loss  0.882476, Average Loss  0.870673, Time  0.170938
2021-09-11 14:21:07.730017 : Epoch  5, Batch   3225, Loss  0.859520, Average Loss  0.870660, Time  0.172703
2021-09-11 14:21:09.331240 : Epoch  5, Batch   3226, Loss  0.830776, Average Loss  0.870325, Time  0.170941
2021-09-11 14:21:10.924887 : Epoch  5, Batch   3227, Loss  0.871330, Average Loss  0.870444, Time  0.170377
2021-09-11 14:21:12.555720 : Epoch  5, Batch   3228, Loss  0.871241, Average Loss  0.870468, Time  0.169992
2021-09-11 14:21:14.229152 : Epoch  5, Batch   3229, Loss  0.851205, Average Loss  0.870301, Time  0.170056
2021-09-11 14:21:15.861736 : Epoch  5, Batch   3230, Loss  0.862888, Average Loss  0.870487, Time  0.170145
2021-09-11 14:21:17.462030 : Epoch  5, Batch   3231, Loss  0.891527, Average Loss  0.870580, Time  0.170017
2021-09-11 14:21:19.158923 : Epoch  5, Batch   3232, Loss  0.848084, Average Loss  0.870390, Time  0.173927
2021-09-11 14:21:20.783193 : Epoch  5, Batch   3233, Loss  0.891924, Average Loss  0.870468, Time  0.177615
2021-09-11 14:21:22.384879 : Epoch  5, Batch   3234, Loss  0.897313, Average Loss  0.870533, Time  0.174810
2021-09-11 14:21:23.988748 : Epoch  5, Batch   3235, Loss  0.869282, Average Loss  0.870560, Time  0.177218
2021-09-11 14:21:25.581838 : Epoch  5, Batch   3236, Loss  0.875904, Average Loss  0.870454, Time  0.174206
2021-09-11 14:21:27.188793 : Epoch  5, Batch   3237, Loss  0.862305, Average Loss  0.870486, Time  0.172443
2021-09-11 14:21:28.778738 : Epoch  5, Batch   3238, Loss  0.872248, Average Loss  0.870404, Time  0.169816
2021-09-11 14:21:30.360054 : Epoch  5, Batch   3239, Loss  0.878551, Average Loss  0.870421, Time  0.170967
2021-09-11 14:21:31.980778 : Epoch  5, Batch   3240, Loss  0.849320, Average Loss  0.870346, Time  0.171368
2021-09-11 14:21:33.627756 : Epoch  5, Batch   3241, Loss  0.866059, Average Loss  0.870321, Time  0.179476
2021-09-11 14:21:35.225877 : Epoch  5, Batch   3242, Loss  0.881762, Average Loss  0.870278, Time  0.170151
2021-09-11 14:21:36.810034 : Epoch  5, Batch   3243, Loss  0.857116, Average Loss  0.870260, Time  0.175074
2021-09-11 14:21:38.399850 : Epoch  5, Batch   3244, Loss  0.870515, Average Loss  0.870339, Time  0.176366
2021-09-11 14:21:40.001886 : Epoch  5, Batch   3245, Loss  0.887582, Average Loss  0.870458, Time  0.170138
2021-09-11 14:21:41.597737 : Epoch  5, Batch   3246, Loss  0.869504, Average Loss  0.870419, Time  0.169668
2021-09-11 14:21:43.182063 : Epoch  5, Batch   3247, Loss  0.893339, Average Loss  0.870477, Time  0.170195
2021-09-11 14:21:44.822814 : Epoch  5, Batch   3248, Loss  0.870744, Average Loss  0.870521, Time  0.172621
2021-09-11 14:21:46.436577 : Epoch  5, Batch   3249, Loss  0.895609, Average Loss  0.870848, Time  0.171446
2021-09-11 14:21:48.033742 : Epoch  5, Batch   3250, Loss  0.888042, Average Loss  0.870824, Time  0.177741
2021-09-11 14:21:49.647744 : Epoch  5, Batch   3251, Loss  0.881764, Average Loss  0.870803, Time  0.172046
2021-09-11 14:21:51.282741 : Epoch  5, Batch   3252, Loss  0.865292, Average Loss  0.870734, Time  0.173264
2021-09-11 14:21:52.895737 : Epoch  5, Batch   3253, Loss  0.846105, Average Loss  0.870653, Time  0.173437
2021-09-11 14:21:54.525772 : Epoch  5, Batch   3254, Loss  0.888112, Average Loss  0.870790, Time  0.175590
2021-09-11 14:21:56.139030 : Epoch  5, Batch   3255, Loss  0.877249, Average Loss  0.870905, Time  0.170232
2021-09-11 14:21:57.735338 : Epoch  5, Batch   3256, Loss  0.890683, Average Loss  0.870978, Time  0.172578
2021-09-11 14:24:46.873762 : CheckPoint: Validation Loss  0.00029591, Best Loss  0.00029019
2021-09-11 14:24:49.466209 : Epoch  5, Batch   1677, Loss  0.872348, Average Loss  0.870220, Time  0.238282
2021-09-11 14:24:52.037507 : Epoch  5, Batch   1678, Loss  0.870429, Average Loss  0.870310, Time  0.237240
2021-09-11 14:24:54.631330 : Epoch  5, Batch   1679, Loss  0.879195, Average Loss  0.870343, Time  0.237471
2021-09-11 14:24:57.217370 : Epoch  5, Batch   1680, Loss  0.870998, Average Loss  0.870282, Time  0.238151
2021-09-11 14:24:59.804406 : Epoch  5, Batch   1681, Loss  0.896254, Average Loss  0.870441, Time  0.237978
2021-09-11 14:25:02.409168 : Epoch  5, Batch   1682, Loss  0.867362, Average Loss  0.870405, Time  0.237451
2021-09-11 14:25:05.024398 : Epoch  5, Batch   1683, Loss  0.862306, Average Loss  0.870414, Time  0.237271
2021-09-11 14:25:07.606421 : Epoch  5, Batch   1684, Loss  0.876507, Average Loss  0.870346, Time  0.239963
2021-09-11 14:25:10.190386 : Epoch  5, Batch   1685, Loss  0.866354, Average Loss  0.870266, Time  0.240046
2021-09-11 14:25:12.766852 : Epoch  5, Batch   1686, Loss  0.849975, Average Loss  0.870158, Time  0.237749
2021-09-11 14:25:15.352370 : Epoch  5, Batch   1687, Loss  0.870189, Average Loss  0.870126, Time  0.237998
2021-09-11 14:25:17.929934 : Epoch  5, Batch   1688, Loss  0.900641, Average Loss  0.870312, Time  0.241782
2021-09-11 14:25:20.506961 : Epoch  5, Batch   1689, Loss  0.890966, Average Loss  0.870464, Time  0.239320
2021-09-11 14:25:23.085033 : Epoch  5, Batch   1690, Loss  0.871849, Average Loss  0.870474, Time  0.238035
2021-09-11 14:25:25.667923 : Epoch  5, Batch   1691, Loss  0.867411, Average Loss  0.870463, Time  0.238324
2021-09-11 14:25:28.241845 : Epoch  5, Batch   1692, Loss  0.871600, Average Loss  0.870324, Time  0.237929
2021-09-11 14:25:30.834048 : Epoch  5, Batch   1693, Loss  0.847496, Average Loss  0.870230, Time  0.237855
2021-09-11 14:25:33.413097 : Epoch  5, Batch   1694, Loss  0.870306, Average Loss  0.870173, Time  0.237795
2021-09-11 14:25:35.992427 : Epoch  5, Batch   1695, Loss  0.883276, Average Loss  0.870252, Time  0.238819
2021-09-11 14:25:38.573196 : Epoch  5, Batch   1696, Loss  0.879226, Average Loss  0.870283, Time  0.238183
2021-09-11 14:25:41.160528 : Epoch  5, Batch   1697, Loss  0.852114, Average Loss  0.870189, Time  0.241423
2021-09-11 14:25:43.740941 : Epoch  5, Batch   1698, Loss  0.848864, Average Loss  0.870044, Time  0.238902
2021-09-11 14:25:46.320830 : Epoch  5, Batch   1699, Loss  0.865297, Average Loss  0.869957, Time  0.238247
2021-09-11 14:25:48.934075 : Epoch  5, Batch   1700, Loss  0.878604, Average Loss  0.869968, Time  0.238443
2021-09-11 14:25:51.507058 : Epoch  5, Batch   1701, Loss  0.867978, Average Loss  0.869929, Time  0.239145
2021-09-11 14:25:54.108886 : Epoch  5, Batch   1702, Loss  0.860660, Average Loss  0.869940, Time  0.237535
2021-09-11 14:25:56.685439 : Epoch  5, Batch   1703, Loss  0.869763, Average Loss  0.869913, Time  0.237261
2021-09-11 14:25:59.266077 : Epoch  5, Batch   1704, Loss  0.878616, Average Loss  0.869916, Time  0.237721
2021-09-11 14:26:01.870369 : Epoch  5, Batch   1705, Loss  0.876456, Average Loss  0.869977, Time  0.240553
2021-09-11 14:26:04.465999 : Epoch  5, Batch   1706, Loss  0.884524, Average Loss  0.870031, Time  0.238039
2021-09-11 14:26:07.044807 : Epoch  5, Batch   1707, Loss  0.858191, Average Loss  0.869969, Time  0.238120
2021-09-11 14:26:09.635513 : Epoch  5, Batch   1708, Loss  0.876224, Average Loss  0.870059, Time  0.237403
2021-09-11 14:26:12.217712 : Epoch  5, Batch   1709, Loss  0.872021, Average Loss  0.870033, Time  0.237612
2021-09-11 14:26:14.816007 : Epoch  5, Batch   1710, Loss  0.868307, Average Loss  0.869999, Time  0.239248
2021-09-11 14:26:17.428924 : Epoch  5, Batch   1711, Loss  0.887061, Average Loss  0.870077, Time  0.238385
2021-09-11 14:26:20.005077 : Epoch  5, Batch   1712, Loss  0.871187, Average Loss  0.869973, Time  0.239982
2021-09-11 14:26:22.602936 : Epoch  5, Batch   1713, Loss  0.877565, Average Loss  0.869990, Time  0.237967
2021-09-11 14:26:25.187184 : Epoch  5, Batch   1714, Loss  0.861696, Average Loss  0.869961, Time  0.240189
2021-09-11 14:26:27.765855 : Epoch  5, Batch   1715, Loss  0.850456, Average Loss  0.869982, Time  0.238156
2021-09-11 14:26:30.365513 : Epoch  5, Batch   1716, Loss  0.889503, Average Loss  0.870019, Time  0.238038
2021-09-11 14:26:32.965875 : Epoch  5, Batch   1717, Loss  0.882747, Average Loss  0.870130, Time  0.238487
2021-09-11 14:26:35.574381 : Epoch  5, Batch   1718, Loss  0.852380, Average Loss  0.869980, Time  0.237704
2021-09-11 14:26:38.159943 : Epoch  5, Batch   1719, Loss  0.864184, Average Loss  0.869952, Time  0.237821
2021-09-11 14:26:38.522731 : CheckPoint: Validation Loss  0.00061004, Best Loss  0.00057296
2021-09-11 14:26:40.127832 : Epoch  5, Batch   3257, Loss  0.852651, Average Loss  0.871049, Time  0.175703
2021-09-11 14:26:40.748879 : Epoch  5, Batch   1720, Loss  0.864263, Average Loss  0.869965, Time  0.237981
2021-09-11 14:26:41.720732 : Epoch  5, Batch   3258, Loss  0.878194, Average Loss  0.871085, Time  0.171430
2021-09-11 14:26:43.337803 : Epoch  5, Batch   3259, Loss  0.842704, Average Loss  0.871099, Time  0.186195
2021-09-11 14:26:44.958747 : Epoch  5, Batch   3260, Loss  0.886984, Average Loss  0.871321, Time  0.170087
2021-09-11 14:26:45.909013 : Epoch  5, Batch   1722, Loss  0.873591, Average Loss  0.870229, Time  0.238813
2021-09-11 14:26:46.539625 : Epoch  5, Batch   3261, Loss  0.864631, Average Loss  0.871256, Time  0.170181
2021-09-11 14:26:48.139746 : Epoch  5, Batch   3262, Loss  0.858313, Average Loss  0.871346, Time  0.179470
2021-09-11 14:26:48.499402 : Epoch  5, Batch   1723, Loss  0.877408, Average Loss  0.870292, Time  0.239024
2021-09-11 14:26:49.753024 : Epoch  5, Batch   3263, Loss  0.871840, Average Loss  0.871283, Time  0.170113
2021-09-11 14:26:51.066258 : Epoch  5, Batch   1724, Loss  0.857241, Average Loss  0.870305, Time  0.238361
2021-09-11 14:26:51.366027 : Epoch  5, Batch   3264, Loss  0.843331, Average Loss  0.871071, Time  0.174629
2021-09-11 14:26:52.947020 : Epoch  5, Batch   3265, Loss  0.863836, Average Loss  0.870957, Time  0.175224
2021-09-11 14:26:53.652181 : Epoch  5, Batch   1725, Loss  0.860136, Average Loss  0.870292, Time  0.237644
2021-09-11 14:26:54.515816 : Epoch  5, Batch   3266, Loss  0.874652, Average Loss  0.871031, Time  0.169894
2021-09-11 14:26:56.115033 : Epoch  5, Batch   3267, Loss  0.888141, Average Loss  0.871268, Time  0.174304
2021-09-11 14:26:56.233024 : Epoch  5, Batch   1726, Loss  0.857638, Average Loss  0.870251, Time  0.237453
2021-09-11 14:26:57.733033 : Epoch  5, Batch   3268, Loss  0.894997, Average Loss  0.871354, Time  0.173629
2021-09-11 14:26:58.841103 : Epoch  5, Batch   1727, Loss  0.876610, Average Loss  0.870383, Time  0.239178
2021-09-11 14:26:59.341036 : Epoch  5, Batch   3269, Loss  0.887339, Average Loss  0.871363, Time  0.174016
2021-09-11 14:27:00.917653 : Epoch  5, Batch   3270, Loss  0.871990, Average Loss  0.871360, Time  0.169902
2021-09-11 14:27:01.418961 : Epoch  5, Batch   1728, Loss  0.873043, Average Loss  0.870379, Time  0.237576
2021-09-11 14:27:02.498774 : Epoch  5, Batch   3271, Loss  0.899361, Average Loss  0.871536, Time  0.169944
2021-09-11 14:27:03.990376 : Epoch  5, Batch   1729, Loss  0.893903, Average Loss  0.870432, Time  0.237722
2021-09-11 14:27:04.082033 : Epoch  5, Batch   3272, Loss  0.853556, Average Loss  0.871419, Time  0.177793
2021-09-11 14:27:05.670032 : Epoch  5, Batch   3273, Loss  0.843313, Average Loss  0.871268, Time  0.172276
2021-09-11 14:27:06.576089 : Epoch  5, Batch   1730, Loss  0.856094, Average Loss  0.870426, Time  0.237473
2021-09-11 14:27:07.272034 : Epoch  5, Batch   3274, Loss  0.895148, Average Loss  0.871427, Time  0.170320
2021-09-11 14:27:08.869033 : Epoch  5, Batch   3275, Loss  0.870868, Average Loss  0.871342, Time  0.179583
2021-09-11 14:27:09.157047 : Epoch  5, Batch   1731, Loss  0.873677, Average Loss  0.870468, Time  0.237313
2021-09-11 14:27:10.481042 : Epoch  5, Batch   3276, Loss  0.857865, Average Loss  0.871171, Time  0.180480
2021-09-11 14:27:11.753925 : Epoch  5, Batch   1732, Loss  0.860968, Average Loss  0.870331, Time  0.238382
2021-09-11 14:27:12.077950 : Epoch  5, Batch   3277, Loss  0.909441, Average Loss  0.871341, Time  0.174131
2021-09-11 14:27:13.661868 : Epoch  5, Batch   3278, Loss  0.847740, Average Loss  0.871098, Time  0.178905
2021-09-11 14:27:14.335144 : Epoch  5, Batch   1733, Loss  0.878658, Average Loss  0.870351, Time  0.237439
2021-09-11 14:27:15.249033 : Epoch  5, Batch   3279, Loss  0.897660, Average Loss  0.871239, Time  0.172555
2021-09-11 14:27:16.847020 : Epoch  5, Batch   3280, Loss  0.850654, Average Loss  0.871095, Time  0.172697
2021-09-11 14:27:16.919684 : Epoch  5, Batch   1734, Loss  0.895255, Average Loss  0.870342, Time  0.237650
2021-09-11 14:27:18.445012 : Epoch  5, Batch   3281, Loss  0.866499, Average Loss  0.871120, Time  0.169956
2021-09-11 14:27:19.520413 : Epoch  5, Batch   1735, Loss  0.880621, Average Loss  0.870474, Time  0.238476
2021-09-11 14:27:20.046035 : Epoch  5, Batch   3282, Loss  0.895601, Average Loss  0.871208, Time  0.175353
2021-09-11 14:27:21.641038 : Epoch  5, Batch   3283, Loss  0.871748, Average Loss  0.871356, Time  0.169573
2021-09-11 14:27:22.116766 : Epoch  5, Batch   1736, Loss  0.872039, Average Loss  0.870610, Time  0.240475
2021-09-11 14:27:23.245781 : Epoch  5, Batch   3284, Loss  0.864232, Average Loss  0.871321, Time  0.174470
2021-09-11 14:27:24.697048 : Epoch  5, Batch   1737, Loss  0.893497, Average Loss  0.870691, Time  0.237859
2021-09-11 14:27:24.842055 : Epoch  5, Batch   3285, Loss  0.875181, Average Loss  0.871249, Time  0.170351
2021-09-11 14:27:26.407824 : Epoch  5, Batch   3286, Loss  0.856895, Average Loss  0.871203, Time  0.170480
2021-09-11 14:27:27.275588 : Epoch  5, Batch   1738, Loss  0.873165, Average Loss  0.870785, Time  0.239318
2021-09-11 14:27:27.990030 : Epoch  5, Batch   3287, Loss  0.851950, Average Loss  0.871298, Time  0.170287
2021-09-11 14:27:29.597032 : Epoch  5, Batch   3288, Loss  0.854860, Average Loss  0.871171, Time  0.172556
2021-09-11 14:27:29.852865 : Epoch  5, Batch   1739, Loss  0.848217, Average Loss  0.870728, Time  0.238564
2021-09-11 14:27:31.194770 : Epoch  5, Batch   3289, Loss  0.872645, Average Loss  0.871130, Time  0.176793
2021-09-11 14:27:32.427176 : Epoch  5, Batch   1740, Loss  0.872592, Average Loss  0.870738, Time  0.237803
2021-09-11 14:27:32.803029 : Epoch  5, Batch   3290, Loss  0.857915, Average Loss  0.871137, Time  0.169951
2021-09-11 14:27:34.397750 : Epoch  5, Batch   3291, Loss  0.877142, Average Loss  0.871139, Time  0.171060
2021-09-11 14:27:35.018692 : Epoch  5, Batch   1741, Loss  0.857924, Average Loss  0.870587, Time  0.238476
2021-09-11 14:27:35.997740 : Epoch  5, Batch   3292, Loss  0.841852, Average Loss  0.870970, Time  0.172331
2021-09-11 14:27:37.580027 : Epoch  5, Batch   3293, Loss  0.886582, Average Loss  0.871152, Time  0.172394
2021-09-11 14:27:37.631899 : Epoch  5, Batch   1742, Loss  0.853793, Average Loss  0.870614, Time  0.239173
2021-09-11 14:27:39.161755 : Epoch  5, Batch   3294, Loss  0.835238, Average Loss  0.870943, Time  0.173919
2021-09-11 14:27:40.213991 : Epoch  5, Batch   1743, Loss  0.862804, Average Loss  0.870499, Time  0.237797
2021-09-11 14:27:40.752790 : Epoch  5, Batch   3295, Loss  0.885799, Average Loss  0.870928, Time  0.172076
2021-09-11 14:27:42.347751 : Epoch  5, Batch   3296, Loss  0.848145, Average Loss  0.870829, Time  0.173833
2021-09-11 14:27:42.805183 : Epoch  5, Batch   1744, Loss  0.880799, Average Loss  0.870510, Time  0.237754
2021-09-11 14:27:43.926849 : Epoch  5, Batch   3297, Loss  0.884731, Average Loss  0.870872, Time  0.170795
2021-09-11 14:27:45.390056 : Epoch  5, Batch   1745, Loss  0.886205, Average Loss  0.870538, Time  0.237572
2021-09-11 14:27:45.522476 : Epoch  5, Batch   3298, Loss  0.880929, Average Loss  0.870891, Time  0.170105
2021-09-11 14:27:47.119751 : Epoch  5, Batch   3299, Loss  0.841048, Average Loss  0.870661, Time  0.173344
2021-09-11 14:27:47.974721 : Epoch  5, Batch   1746, Loss  0.876432, Average Loss  0.870502, Time  0.237918
2021-09-11 14:27:48.715738 : Epoch  5, Batch   3300, Loss  0.866845, Average Loss  0.870593, Time  0.170158
2021-09-11 14:27:50.312050 : Epoch  5, Batch   3301, Loss  0.858256, Average Loss  0.870476, Time  0.177307
2021-09-11 14:27:50.561419 : Epoch  5, Batch   1747, Loss  0.880389, Average Loss  0.870552, Time  0.237955
2021-09-11 14:27:51.885027 : Epoch  5, Batch   3302, Loss  0.859319, Average Loss  0.870469, Time  0.183994
2021-09-11 14:27:53.136654 : Epoch  5, Batch   1748, Loss  0.868509, Average Loss  0.870447, Time  0.237763
2021-09-11 14:27:53.459765 : Epoch  5, Batch   3303, Loss  0.839074, Average Loss  0.870363, Time  0.178337
2021-09-11 14:27:55.041932 : Epoch  5, Batch   3304, Loss  0.849120, Average Loss  0.870204, Time  0.175867
2021-09-11 14:27:55.710941 : Epoch  5, Batch   1749, Loss  0.887206, Average Loss  0.870480, Time  0.237938
2021-09-11 14:27:56.645036 : Epoch  5, Batch   3305, Loss  0.892573, Average Loss  0.870498, Time  0.171039
2021-09-11 14:27:58.240765 : Epoch  5, Batch   3306, Loss  0.890846, Average Loss  0.870558, Time  0.169926
2021-09-11 14:27:58.310383 : Epoch  5, Batch   1750, Loss  0.863927, Average Loss  0.870438, Time  0.239284
2021-09-11 14:27:59.879849 : Epoch  5, Batch   3307, Loss  0.899640, Average Loss  0.870740, Time  0.173824
2021-09-11 14:28:00.899853 : Epoch  5, Batch   1751, Loss  0.875401, Average Loss  0.870456, Time  0.237647
2021-09-11 14:28:01.470747 : Epoch  5, Batch   3308, Loss  0.881288, Average Loss  0.870759, Time  0.173480
2021-09-11 14:28:03.074884 : Epoch  5, Batch   3309, Loss  0.867560, Average Loss  0.870788, Time  0.171869
2021-09-11 14:28:03.498058 : Epoch  5, Batch   1752, Loss  0.879244, Average Loss  0.870421, Time  0.239919
2021-09-11 14:28:04.675031 : Epoch  5, Batch   3310, Loss  0.874605, Average Loss  0.870741, Time  0.172343
2021-09-11 14:28:06.078339 : Epoch  5, Batch   1753, Loss  0.872970, Average Loss  0.870411, Time  0.240152
2021-09-11 14:28:06.267937 : Epoch  5, Batch   3311, Loss  0.851037, Average Loss  0.870582, Time  0.171537
2021-09-11 14:28:07.848833 : Epoch  5, Batch   3312, Loss  0.845521, Average Loss  0.870513, Time  0.169806
2021-09-11 14:28:08.663355 : Epoch  5, Batch   1754, Loss  0.881909, Average Loss  0.870542, Time  0.238510
2021-09-11 14:28:09.445691 : Epoch  5, Batch   3313, Loss  0.884106, Average Loss  0.870666, Time  0.172926
2021-09-11 14:28:11.073764 : Epoch  5, Batch   3314, Loss  0.880006, Average Loss  0.870573, Time  0.171011
2021-09-11 14:28:11.261930 : Epoch  5, Batch   1755, Loss  0.881442, Average Loss  0.870636, Time  0.237691
2021-09-11 14:28:12.672882 : Epoch  5, Batch   3315, Loss  0.872826, Average Loss  0.870672, Time  0.171813
2021-09-11 14:28:13.859235 : Epoch  5, Batch   1756, Loss  0.863437, Average Loss  0.870652, Time  0.243681
2021-09-11 14:28:14.271750 : Epoch  5, Batch   3316, Loss  0.875534, Average Loss  0.870733, Time  0.170549
2021-09-11 14:28:15.848695 : Epoch  5, Batch   3317, Loss  0.860819, Average Loss  0.870947, Time  0.170263
2021-09-11 14:28:16.443372 : Epoch  5, Batch   1757, Loss  0.863091, Average Loss  0.870614, Time  0.238910
2021-09-11 14:28:17.447031 : Epoch  5, Batch   3318, Loss  0.871722, Average Loss  0.870935, Time  0.185010
2021-09-11 14:28:19.035853 : Epoch  5, Batch   3319, Loss  0.906712, Average Loss  0.870969, Time  0.174279
2021-09-11 14:28:20.649768 : Epoch  5, Batch   3320, Loss  0.834771, Average Loss  0.870828, Time  0.177881
2021-09-11 14:28:21.607977 : Epoch  5, Batch   1759, Loss  0.883956, Average Loss  0.870764, Time  0.237946
2021-09-11 14:28:22.233037 : Epoch  5, Batch   3321, Loss  0.859217, Average Loss  0.870773, Time  0.170145
2021-09-11 14:28:23.851799 : Epoch  5, Batch   3322, Loss  0.854531, Average Loss  0.870571, Time  0.172182
2021-09-11 14:28:24.186085 : Epoch  5, Batch   1760, Loss  0.850777, Average Loss  0.870659, Time  0.238418
2021-09-11 14:28:25.442730 : Epoch  5, Batch   3323, Loss  0.865801, Average Loss  0.870569, Time  0.170138
2021-09-11 14:28:26.763922 : Epoch  5, Batch   1761, Loss  0.838452, Average Loss  0.870418, Time  0.237363
2021-09-11 14:28:27.021801 : Epoch  5, Batch   3324, Loss  0.853178, Average Loss  0.870449, Time  0.174089
2021-09-11 14:28:28.617778 : Epoch  5, Batch   3325, Loss  0.857517, Average Loss  0.870300, Time  0.170705
2021-09-11 14:28:29.349046 : Epoch  5, Batch   1762, Loss  0.859739, Average Loss  0.870238, Time  0.237974
2021-09-11 14:28:30.205771 : Epoch  5, Batch   3326, Loss  0.866156, Average Loss  0.870347, Time  0.169980
2021-09-11 14:28:31.806852 : Epoch  5, Batch   3327, Loss  0.854356, Average Loss  0.870185, Time  0.170007
2021-09-11 14:28:31.933408 : Epoch  5, Batch   1763, Loss  0.866201, Average Loss  0.870220, Time  0.237629
2021-09-11 14:28:33.404748 : Epoch  5, Batch   3328, Loss  0.840950, Average Loss  0.870090, Time  0.171019
2021-09-11 14:28:34.509790 : Epoch  5, Batch   1764, Loss  0.857751, Average Loss  0.870093, Time  0.237800
2021-09-11 14:28:34.997057 : Epoch  5, Batch   3329, Loss  0.880918, Average Loss  0.870108, Time  0.170059
2021-09-11 14:28:36.562388 : Epoch  5, Batch   3330, Loss  0.868987, Average Loss  0.870187, Time  0.170186
2021-09-11 14:28:37.089387 : Epoch  5, Batch   1765, Loss  0.891912, Average Loss  0.870237, Time  0.237271
2021-09-11 14:28:38.170836 : Epoch  5, Batch   3331, Loss  0.859044, Average Loss  0.869979, Time  0.175917
2021-09-11 14:28:39.695019 : Epoch  5, Batch   1766, Loss  0.882484, Average Loss  0.870252, Time  0.238205
2021-09-11 14:28:39.790079 : Epoch  5, Batch   3332, Loss  0.869066, Average Loss  0.869909, Time  0.170778
2021-09-11 14:28:41.384848 : Epoch  5, Batch   3333, Loss  0.863874, Average Loss  0.869883, Time  0.174164
2021-09-11 14:28:42.282614 : Epoch  5, Batch   1767, Loss  0.862232, Average Loss  0.870325, Time  0.237610
2021-09-11 14:28:42.983799 : Epoch  5, Batch   3334, Loss  0.876541, Average Loss  0.869919, Time  0.170222
2021-09-11 14:28:44.570754 : Epoch  5, Batch   3335, Loss  0.863234, Average Loss  0.869864, Time  0.172280
2021-09-11 14:28:44.860911 : Epoch  5, Batch   1768, Loss  0.883925, Average Loss  0.870212, Time  0.237893
2021-09-11 14:28:46.144883 : Epoch  5, Batch   3336, Loss  0.846685, Average Loss  0.869651, Time  0.170289
2021-09-11 14:28:47.438272 : Epoch  5, Batch   1769, Loss  0.871843, Average Loss  0.870151, Time  0.237570
2021-09-11 14:28:47.738023 : Epoch  5, Batch   3337, Loss  0.847362, Average Loss  0.869590, Time  0.178098
2021-09-11 14:28:49.346029 : Epoch  5, Batch   3338, Loss  0.849554, Average Loss  0.869405, Time  0.174287
2021-09-11 14:28:50.024385 : Epoch  5, Batch   1770, Loss  0.875798, Average Loss  0.870165, Time  0.237898
2021-09-11 14:28:50.933901 : Epoch  5, Batch   3339, Loss  0.839829, Average Loss  0.869181, Time  0.171011
2021-09-11 14:28:52.531038 : Epoch  5, Batch   3340, Loss  0.868128, Average Loss  0.869102, Time  0.169963
2021-09-11 14:28:52.631877 : Epoch  5, Batch   1771, Loss  0.860799, Average Loss  0.870082, Time  0.238429
2021-09-11 14:28:54.137752 : Epoch  5, Batch   3341, Loss  0.864084, Average Loss  0.868959, Time  0.169708
2021-09-11 14:28:55.230231 : Epoch  5, Batch   1772, Loss  0.899635, Average Loss  0.870221, Time  0.237630
2021-09-11 14:28:55.763924 : Epoch  5, Batch   3342, Loss  0.900987, Average Loss  0.869127, Time  0.177324
2021-09-11 14:28:57.388832 : Epoch  5, Batch   3343, Loss  0.890887, Average Loss  0.869180, Time  0.170013
2021-09-11 14:28:57.805222 : Epoch  5, Batch   1773, Loss  0.885926, Average Loss  0.870270, Time  0.238057
2021-09-11 14:28:59.006752 : Epoch  5, Batch   3344, Loss  0.855793, Average Loss  0.869067, Time  0.170279
2021-09-11 14:29:00.379077 : Epoch  5, Batch   1774, Loss  0.852913, Average Loss  0.870226, Time  0.237805
2021-09-11 14:29:00.608926 : Epoch  5, Batch   3345, Loss  0.855692, Average Loss  0.869125, Time  0.173918
2021-09-11 14:29:02.185741 : Epoch  5, Batch   3346, Loss  0.873140, Average Loss  0.869139, Time  0.174877
2021-09-11 14:29:02.958030 : Epoch  5, Batch   1775, Loss  0.871750, Average Loss  0.870215, Time  0.237275
2021-09-11 14:29:03.791777 : Epoch  5, Batch   3347, Loss  0.886319, Average Loss  0.869167, Time  0.176949
2021-09-11 14:29:05.388029 : Epoch  5, Batch   3348, Loss  0.861359, Average Loss  0.869215, Time  0.177154
2021-09-11 14:29:05.544085 : Epoch  5, Batch   1776, Loss  0.869880, Average Loss  0.870232, Time  0.237470
2021-09-11 14:29:07.006011 : Epoch  5, Batch   3349, Loss  0.867338, Average Loss  0.869111, Time  0.197727
2021-09-11 14:29:08.607029 : Epoch  5, Batch   3350, Loss  0.844934, Average Loss  0.868969, Time  0.172359
2021-09-11 14:29:10.216792 : Epoch  5, Batch   3351, Loss  0.873713, Average Loss  0.868976, Time  0.174787
2021-09-11 14:29:11.799811 : Epoch  5, Batch   3352, Loss  0.849119, Average Loss  0.868953, Time  0.169917
2021-09-11 14:29:13.406741 : Epoch  5, Batch   3353, Loss  0.907691, Average Loss  0.869220, Time  0.175650
2021-09-11 14:29:15.014741 : Epoch  5, Batch   3354, Loss  0.911958, Average Loss  0.869384, Time  0.173854
2021-09-11 14:29:16.588104 : Epoch  5, Batch   3355, Loss  0.851999, Average Loss  0.869346, Time  0.170826
2021-09-11 14:29:18.220028 : Epoch  5, Batch   3356, Loss  0.863034, Average Loss  0.869413, Time  0.174050
2021-09-11 14:33:07.545747 : CheckPoint: Validation Loss  0.00030699, Best Loss  0.00029019
2021-09-11 14:33:10.138155 : Epoch  5, Batch   1777, Loss  0.859847, Average Loss  0.870230, Time  0.238719
2021-09-11 14:33:12.722317 : Epoch  5, Batch   1778, Loss  0.870254, Average Loss  0.870187, Time  0.238486
2021-09-11 14:33:15.292925 : Epoch  5, Batch   1779, Loss  0.877102, Average Loss  0.870212, Time  0.238220
2021-09-11 14:33:17.867506 : Epoch  5, Batch   1780, Loss  0.857721, Average Loss  0.870049, Time  0.236796
2021-09-11 14:33:20.446555 : Epoch  5, Batch   1781, Loss  0.844200, Average Loss  0.869941, Time  0.238094
2021-09-11 14:33:23.017406 : Epoch  5, Batch   1782, Loss  0.876576, Average Loss  0.869978, Time  0.237535
2021-09-11 14:33:25.603009 : Epoch  5, Batch   1783, Loss  0.891818, Average Loss  0.870010, Time  0.238018
2021-09-11 14:33:28.182585 : Epoch  5, Batch   1784, Loss  0.844510, Average Loss  0.869838, Time  0.237163
2021-09-11 14:33:30.773394 : Epoch  5, Batch   1785, Loss  0.866873, Average Loss  0.869829, Time  0.239051
2021-09-11 14:33:33.356266 : Epoch  5, Batch   1786, Loss  0.874982, Average Loss  0.869841, Time  0.239774
2021-09-11 14:33:35.935962 : Epoch  5, Batch   1787, Loss  0.871466, Average Loss  0.869839, Time  0.237776
2021-09-11 14:33:38.526008 : Epoch  5, Batch   1788, Loss  0.885763, Average Loss  0.869855, Time  0.238229
2021-09-11 14:33:41.102477 : Epoch  5, Batch   1789, Loss  0.873140, Average Loss  0.869839, Time  0.237815
2021-09-11 14:33:43.681425 : Epoch  5, Batch   1790, Loss  0.860971, Average Loss  0.869719, Time  0.238426
2021-09-11 14:33:46.284087 : Epoch  5, Batch   1791, Loss  0.867002, Average Loss  0.869618, Time  0.237708
2021-09-11 14:33:48.878905 : Epoch  5, Batch   1792, Loss  0.883039, Average Loss  0.869673, Time  0.237463
2021-09-11 14:33:51.459494 : Epoch  5, Batch   1793, Loss  0.875926, Average Loss  0.869768, Time  0.237153
2021-09-11 14:33:54.034990 : Epoch  5, Batch   1794, Loss  0.854159, Average Loss  0.869602, Time  0.237481
2021-09-11 14:33:56.612992 : Epoch  5, Batch   1795, Loss  0.881685, Average Loss  0.869726, Time  0.237009
2021-09-11 14:33:59.118730 : CheckPoint: Validation Loss  0.00058265, Best Loss  0.00057296
2021-09-11 14:33:59.190497 : Epoch  5, Batch   1796, Loss  0.876302, Average Loss  0.869716, Time  0.237952
2021-09-11 14:34:00.729881 : Epoch  5, Batch   3357, Loss  0.876089, Average Loss  0.869504, Time  0.181464
2021-09-11 14:34:01.777337 : Epoch  5, Batch   1797, Loss  0.854780, Average Loss  0.869676, Time  0.237020
2021-09-11 14:34:02.323803 : Epoch  5, Batch   3358, Loss  0.874818, Average Loss  0.869502, Time  0.175046
2021-09-11 14:34:03.901001 : Epoch  5, Batch   3359, Loss  0.890065, Average Loss  0.869630, Time  0.170235
2021-09-11 14:34:04.352823 : Epoch  5, Batch   1798, Loss  0.899039, Average Loss  0.869808, Time  0.237540
2021-09-11 14:34:05.481298 : Epoch  5, Batch   3360, Loss  0.865030, Average Loss  0.869854, Time  0.170261
2021-09-11 14:34:06.938366 : Epoch  5, Batch   1799, Loss  0.849316, Average Loss  0.869676, Time  0.238847
2021-09-11 14:34:07.108797 : Epoch  5, Batch   3361, Loss  0.868344, Average Loss  0.869888, Time  0.179452
2021-09-11 14:34:08.713870 : Epoch  5, Batch   3362, Loss  0.881032, Average Loss  0.869863, Time  0.171833
2021-09-11 14:34:09.519077 : Epoch  5, Batch   1800, Loss  0.871535, Average Loss  0.869677, Time  0.237323
2021-09-11 14:34:10.313873 : Epoch  5, Batch   3363, Loss  0.882652, Average Loss  0.869940, Time  0.170406
2021-09-11 14:34:11.898131 : Epoch  5, Batch   3364, Loss  0.862724, Average Loss  0.869897, Time  0.171117
2021-09-11 14:34:12.098122 : Epoch  5, Batch   1801, Loss  0.856745, Average Loss  0.869742, Time  0.237410
2021-09-11 14:34:13.475020 : Epoch  5, Batch   3365, Loss  0.878159, Average Loss  0.869855, Time  0.170005
2021-09-11 14:34:14.680135 : Epoch  5, Batch   1802, Loss  0.863400, Average Loss  0.869688, Time  0.237637
2021-09-11 14:34:15.074738 : Epoch  5, Batch   3366, Loss  0.852996, Average Loss  0.869737, Time  0.189063
2021-09-11 14:34:16.678849 : Epoch  5, Batch   3367, Loss  0.849298, Average Loss  0.869559, Time  0.170163
2021-09-11 14:34:17.266877 : Epoch  5, Batch   1803, Loss  0.866854, Average Loss  0.869795, Time  0.239171
2021-09-11 14:34:18.260059 : Epoch  5, Batch   3368, Loss  0.861963, Average Loss  0.869499, Time  0.171075
2021-09-11 14:34:19.861874 : Epoch  5, Batch   3369, Loss  0.880365, Average Loss  0.869396, Time  0.170335
2021-09-11 14:34:21.489755 : Epoch  5, Batch   3370, Loss  0.893746, Average Loss  0.869606, Time  0.173239
2021-09-11 14:34:22.459846 : Epoch  5, Batch   1805, Loss  0.878871, Average Loss  0.869920, Time  0.239230
2021-09-11 14:34:23.081754 : Epoch  5, Batch   3371, Loss  0.860582, Average Loss  0.869617, Time  0.191593
2021-09-11 14:34:24.663748 : Epoch  5, Batch   3372, Loss  0.844290, Average Loss  0.869620, Time  0.170539
2021-09-11 14:34:25.041924 : Epoch  5, Batch   1806, Loss  0.865395, Average Loss  0.869917, Time  0.238417
2021-09-11 14:34:26.233736 : Epoch  5, Batch   3373, Loss  0.882415, Average Loss  0.869708, Time  0.171624
2021-09-11 14:34:27.619079 : Epoch  5, Batch   1807, Loss  0.867998, Average Loss  0.869999, Time  0.238351
2021-09-11 14:34:27.816070 : Epoch  5, Batch   3374, Loss  0.861887, Average Loss  0.869634, Time  0.170287
2021-09-11 14:34:29.406837 : Epoch  5, Batch   3375, Loss  0.846735, Average Loss  0.869556, Time  0.170518
2021-09-11 14:34:30.214008 : Epoch  5, Batch   1808, Loss  0.875211, Average Loss  0.870098, Time  0.238225
2021-09-11 14:34:31.021757 : Epoch  5, Batch   3376, Loss  0.863334, Average Loss  0.869297, Time  0.174185
2021-09-11 14:34:32.630745 : Epoch  5, Batch   3377, Loss  0.882112, Average Loss  0.869381, Time  0.171028
2021-09-11 14:34:32.790985 : Epoch  5, Batch   1809, Loss  0.858188, Average Loss  0.870027, Time  0.237681
2021-09-11 14:34:34.225039 : Epoch  5, Batch   3378, Loss  0.870333, Average Loss  0.869278, Time  0.169946
2021-09-11 14:34:35.367866 : Epoch  5, Batch   1810, Loss  0.897987, Average Loss  0.870206, Time  0.237716
2021-09-11 14:34:35.827036 : Epoch  5, Batch   3379, Loss  0.844761, Average Loss  0.869063, Time  0.169956
2021-09-11 14:34:37.432729 : Epoch  5, Batch   3380, Loss  0.886813, Average Loss  0.869244, Time  0.173068
2021-09-11 14:34:37.946392 : Epoch  5, Batch   1811, Loss  0.846664, Average Loss  0.870139, Time  0.237128
2021-09-11 14:34:39.043789 : Epoch  5, Batch   3381, Loss  0.842499, Average Loss  0.869004, Time  0.170722
2021-09-11 14:34:40.548936 : Epoch  5, Batch   1812, Loss  0.870477, Average Loss  0.870143, Time  0.238291
2021-09-11 14:34:40.636852 : Epoch  5, Batch   3382, Loss  0.869973, Average Loss  0.869079, Time  0.170234
2021-09-11 14:34:42.243823 : Epoch  5, Batch   3383, Loss  0.857592, Average Loss  0.869048, Time  0.174268
2021-09-11 14:34:43.127727 : Epoch  5, Batch   1813, Loss  0.844949, Average Loss  0.869963, Time  0.238433
2021-09-11 14:34:43.837034 : Epoch  5, Batch   3384, Loss  0.851812, Average Loss  0.869001, Time  0.172994
2021-09-11 14:34:45.429028 : Epoch  5, Batch   3385, Loss  0.920403, Average Loss  0.869250, Time  0.173725
2021-09-11 14:34:45.708418 : Epoch  5, Batch   1814, Loss  0.858231, Average Loss  0.869959, Time  0.237445
2021-09-11 14:34:47.016861 : Epoch  5, Batch   3386, Loss  0.830374, Average Loss  0.869106, Time  0.169895
2021-09-11 14:34:48.290911 : Epoch  5, Batch   1815, Loss  0.874523, Average Loss  0.870004, Time  0.237683
2021-09-11 14:34:48.603948 : Epoch  5, Batch   3387, Loss  0.887618, Average Loss  0.869231, Time  0.173229
2021-09-11 14:34:50.198772 : Epoch  5, Batch   3388, Loss  0.904588, Average Loss  0.869341, Time  0.175614
2021-09-11 14:34:50.871844 : Epoch  5, Batch   1816, Loss  0.874556, Average Loss  0.869986, Time  0.237019
2021-09-11 14:34:51.794046 : Epoch  5, Batch   3389, Loss  0.884229, Average Loss  0.869402, Time  0.170007
2021-09-11 14:34:53.405875 : Epoch  5, Batch   3390, Loss  0.877893, Average Loss  0.869458, Time  0.171076
2021-09-11 14:34:53.451980 : Epoch  5, Batch   1817, Loss  0.879247, Average Loss  0.870071, Time  0.237453
2021-09-11 14:34:55.010804 : Epoch  5, Batch   3391, Loss  0.856968, Average Loss  0.869430, Time  0.170802
2021-09-11 14:34:56.040144 : Epoch  5, Batch   1818, Loss  0.854729, Average Loss  0.870036, Time  0.237899
2021-09-11 14:34:56.601836 : Epoch  5, Batch   3392, Loss  0.870109, Average Loss  0.869488, Time  0.170618
2021-09-11 14:34:58.185885 : Epoch  5, Batch   3393, Loss  0.884606, Average Loss  0.869535, Time  0.174879
2021-09-11 14:34:58.622111 : Epoch  5, Batch   1819, Loss  0.860871, Average Loss  0.869911, Time  0.237742
2021-09-11 14:34:59.815867 : Epoch  5, Batch   3394, Loss  0.845433, Average Loss  0.869438, Time  0.170428
2021-09-11 14:35:01.197043 : Epoch  5, Batch   1820, Loss  0.872339, Average Loss  0.869936, Time  0.238012
2021-09-11 14:35:01.434029 : Epoch  5, Batch   3395, Loss  0.865498, Average Loss  0.869391, Time  0.179010
2021-09-11 14:35:03.022747 : Epoch  5, Batch   3396, Loss  0.883951, Average Loss  0.869463, Time  0.171076
2021-09-11 14:35:03.789888 : Epoch  5, Batch   1821, Loss  0.875285, Average Loss  0.869995, Time  0.237896
2021-09-11 14:35:04.613026 : Epoch  5, Batch   3397, Loss  0.883681, Average Loss  0.869513, Time  0.171690
2021-09-11 14:35:06.198821 : Epoch  5, Batch   3398, Loss  0.891101, Average Loss  0.869534, Time  0.170082
2021-09-11 14:35:06.379078 : Epoch  5, Batch   1822, Loss  0.886462, Average Loss  0.870074, Time  0.239188
2021-09-11 14:35:07.781745 : Epoch  5, Batch   3399, Loss  0.887080, Average Loss  0.869657, Time  0.183684
2021-09-11 14:35:08.947411 : Epoch  5, Batch   1823, Loss  0.876810, Average Loss  0.870066, Time  0.237297
2021-09-11 14:35:09.400892 : Epoch  5, Batch   3400, Loss  0.877713, Average Loss  0.869542, Time  0.182549
2021-09-11 14:35:10.996028 : Epoch  5, Batch   3401, Loss  0.877323, Average Loss  0.869540, Time  0.177705
2021-09-11 14:35:11.523911 : Epoch  5, Batch   1824, Loss  0.864880, Average Loss  0.870015, Time  0.237549
2021-09-11 14:35:12.568594 : Epoch  5, Batch   3402, Loss  0.838706, Average Loss  0.869353, Time  0.170473
2021-09-11 14:35:14.099928 : Epoch  5, Batch   1825, Loss  0.846950, Average Loss  0.869908, Time  0.238819
2021-09-11 14:35:14.167071 : Epoch  5, Batch   3403, Loss  0.887728, Average Loss  0.869433, Time  0.170373
2021-09-11 14:35:15.777040 : Epoch  5, Batch   3404, Loss  0.868047, Average Loss  0.869443, Time  0.179188
2021-09-11 14:35:16.687931 : Epoch  5, Batch   1826, Loss  0.861839, Average Loss  0.869896, Time  0.238215
2021-09-11 14:35:17.385028 : Epoch  5, Batch   3405, Loss  0.864781, Average Loss  0.869424, Time  0.179353
2021-09-11 14:35:18.969829 : Epoch  5, Batch   3406, Loss  0.832078, Average Loss  0.869200, Time  0.172793
2021-09-11 14:35:19.277074 : Epoch  5, Batch   1827, Loss  0.873685, Average Loss  0.869919, Time  0.240016
2021-09-11 14:35:20.557732 : Epoch  5, Batch   3407, Loss  0.874872, Average Loss  0.869042, Time  0.177945
2021-09-11 14:35:21.859058 : Epoch  5, Batch   1828, Loss  0.896964, Average Loss  0.870124, Time  0.238213
2021-09-11 14:35:22.139854 : Epoch  5, Batch   3408, Loss  0.858055, Average Loss  0.868950, Time  0.172403
2021-09-11 14:35:23.710028 : Epoch  5, Batch   3409, Loss  0.868323, Average Loss  0.868997, Time  0.174756
2021-09-11 14:35:24.447073 : Epoch  5, Batch   1829, Loss  0.870606, Average Loss  0.870250, Time  0.238892
2021-09-11 14:35:25.308031 : Epoch  5, Batch   3410, Loss  0.895797, Average Loss  0.869232, Time  0.173275
2021-09-11 14:35:26.912752 : Epoch  5, Batch   3411, Loss  0.880373, Average Loss  0.869333, Time  0.170840
2021-09-11 14:35:27.040863 : Epoch  5, Batch   1830, Loss  0.879164, Average Loss  0.870288, Time  0.238524
2021-09-11 14:35:28.536034 : Epoch  5, Batch   3412, Loss  0.848277, Average Loss  0.869234, Time  0.172194
2021-09-11 14:35:29.622566 : Epoch  5, Batch   1831, Loss  0.890693, Average Loss  0.870344, Time  0.237503
2021-09-11 14:35:30.144747 : Epoch  5, Batch   3413, Loss  0.874159, Average Loss  0.869230, Time  0.173249
2021-09-11 14:35:31.723024 : Epoch  5, Batch   3414, Loss  0.881207, Average Loss  0.869235, Time  0.173731
2021-09-11 14:35:32.203313 : Epoch  5, Batch   1832, Loss  0.858122, Average Loss  0.870384, Time  0.237336
2021-09-11 14:35:33.327032 : Epoch  5, Batch   3415, Loss  0.857979, Average Loss  0.869221, Time  0.172850
2021-09-11 14:35:34.785281 : Epoch  5, Batch   1833, Loss  0.891347, Average Loss  0.870515, Time  0.238453
2021-09-11 14:35:34.943025 : Epoch  5, Batch   3416, Loss  0.873820, Average Loss  0.869443, Time  0.169908
2021-09-11 14:35:36.542785 : Epoch  5, Batch   3417, Loss  0.853719, Average Loss  0.869337, Time  0.173072
2021-09-11 14:35:37.402478 : Epoch  5, Batch   1834, Loss  0.860734, Average Loss  0.870386, Time  0.241094
2021-09-11 14:35:38.163809 : Epoch  5, Batch   3418, Loss  0.885663, Average Loss  0.869592, Time  0.182008
2021-09-11 14:35:39.762759 : Epoch  5, Batch   3419, Loss  0.880622, Average Loss  0.869539, Time  0.172848
2021-09-11 14:35:39.991356 : Epoch  5, Batch   1835, Loss  0.886811, Average Loss  0.870364, Time  0.237930
2021-09-11 14:35:41.371783 : Epoch  5, Batch   3420, Loss  0.869853, Average Loss  0.869446, Time  0.177671
2021-09-11 14:35:42.569378 : Epoch  5, Batch   1836, Loss  0.896771, Average Loss  0.870525, Time  0.237590
2021-09-11 14:35:42.956755 : Epoch  5, Batch   3421, Loss  0.852109, Average Loss  0.869273, Time  0.170107
2021-09-11 14:35:44.540854 : Epoch  5, Batch   3422, Loss  0.850949, Average Loss  0.869124, Time  0.177922
2021-09-11 14:35:45.141357 : Epoch  5, Batch   1837, Loss  0.851897, Average Loss  0.870431, Time  0.237758
2021-09-11 14:35:46.150792 : Epoch  5, Batch   3423, Loss  0.849103, Average Loss  0.869060, Time  0.179837
2021-09-11 14:35:47.734744 : Epoch  5, Batch   3424, Loss  0.860592, Average Loss  0.868950, Time  0.172858
2021-09-11 14:35:47.765949 : Epoch  5, Batch   1838, Loss  0.859173, Average Loss  0.870281, Time  0.238095
2021-09-11 14:35:49.341866 : Epoch  5, Batch   3425, Loss  0.859014, Average Loss  0.868948, Time  0.177084
2021-09-11 14:35:50.350196 : Epoch  5, Batch   1839, Loss  0.853072, Average Loss  0.870231, Time  0.238720
2021-09-11 14:35:50.922943 : Epoch  5, Batch   3426, Loss  0.892741, Average Loss  0.869258, Time  0.169868
2021-09-11 14:35:52.500529 : Epoch  5, Batch   3427, Loss  0.862607, Average Loss  0.869214, Time  0.170098
2021-09-11 14:35:52.933461 : Epoch  5, Batch   1840, Loss  0.860509, Average Loss  0.870222, Time  0.237569
2021-09-11 14:35:54.092840 : Epoch  5, Batch   3428, Loss  0.862939, Average Loss  0.869172, Time  0.173764
2021-09-11 14:35:55.514612 : Epoch  5, Batch   1841, Loss  0.880751, Average Loss  0.870259, Time  0.238396
2021-09-11 14:35:55.706750 : Epoch  5, Batch   3429, Loss  0.868318, Average Loss  0.869258, Time  0.172241
2021-09-11 14:35:57.307786 : Epoch  5, Batch   3430, Loss  0.872763, Average Loss  0.869307, Time  0.174040
2021-09-11 14:35:58.094982 : Epoch  5, Batch   1842, Loss  0.857098, Average Loss  0.870119, Time  0.238265
2021-09-11 14:35:58.906757 : Epoch  5, Batch   3431, Loss  0.862697, Average Loss  0.869163, Time  0.171049
2021-09-11 14:36:00.522293 : Epoch  5, Batch   3432, Loss  0.876316, Average Loss  0.869304, Time  0.174830
2021-09-11 14:36:00.682374 : Epoch  5, Batch   1843, Loss  0.872720, Average Loss  0.870079, Time  0.238718
2021-09-11 14:36:02.145777 : Epoch  5, Batch   3433, Loss  0.869223, Average Loss  0.869191, Time  0.176953
2021-09-11 14:36:03.262004 : Epoch  5, Batch   1844, Loss  0.863361, Average Loss  0.870091, Time  0.237899
2021-09-11 14:36:03.756783 : Epoch  5, Batch   3434, Loss  0.864645, Average Loss  0.869028, Time  0.176256
2021-09-11 14:36:05.350026 : Epoch  5, Batch   3435, Loss  0.835787, Average Loss  0.868860, Time  0.169888
2021-09-11 14:36:05.859380 : Epoch  5, Batch   1845, Loss  0.857465, Average Loss  0.870081, Time  0.240078
2021-09-11 14:36:06.959744 : Epoch  5, Batch   3436, Loss  0.864973, Average Loss  0.868805, Time  0.171637
2021-09-11 14:36:08.442553 : Epoch  5, Batch   1846, Loss  0.868709, Average Loss  0.870193, Time  0.237205
2021-09-11 14:36:08.575752 : Epoch  5, Batch   3437, Loss  0.869656, Average Loss  0.868842, Time  0.180090
2021-09-11 14:36:10.166755 : Epoch  5, Batch   3438, Loss  0.874106, Average Loss  0.868851, Time  0.169924
2021-09-11 14:36:11.032348 : Epoch  5, Batch   1847, Loss  0.887377, Average Loss  0.870231, Time  0.238707
2021-09-11 14:36:11.770873 : Epoch  5, Batch   3439, Loss  0.892778, Average Loss  0.868923, Time  0.170053
2021-09-11 14:36:13.366028 : Epoch  5, Batch   3440, Loss  0.869149, Average Loss  0.869022, Time  0.177768
2021-09-11 14:36:13.625384 : Epoch  5, Batch   1848, Loss  0.854015, Average Loss  0.870167, Time  0.238317
2021-09-11 14:36:14.967796 : Epoch  5, Batch   3441, Loss  0.880550, Average Loss  0.869094, Time  0.169897
2021-09-11 14:36:16.199971 : Epoch  5, Batch   1849, Loss  0.852822, Average Loss  0.870125, Time  0.237556
2021-09-11 14:36:16.598786 : Epoch  5, Batch   3442, Loss  0.857237, Average Loss  0.868972, Time  0.180487
2021-09-11 14:36:18.201065 : Epoch  5, Batch   3443, Loss  0.837100, Average Loss  0.868871, Time  0.179984
2021-09-11 14:36:18.788400 : Epoch  5, Batch   1850, Loss  0.876812, Average Loss  0.870166, Time  0.237592
2021-09-11 14:36:19.808769 : Epoch  5, Batch   3444, Loss  0.821351, Average Loss  0.868626, Time  0.170061
2021-09-11 14:36:21.370399 : Epoch  5, Batch   1851, Loss  0.847277, Average Loss  0.870041, Time  0.238489
2021-09-11 14:36:21.429031 : Epoch  5, Batch   3445, Loss  0.864093, Average Loss  0.868508, Time  0.181170
2021-09-11 14:36:23.054795 : Epoch  5, Batch   3446, Loss  0.863376, Average Loss  0.868478, Time  0.169915
2021-09-11 14:36:23.957241 : Epoch  5, Batch   1852, Loss  0.865579, Average Loss  0.869996, Time  0.238503
2021-09-11 14:36:24.697745 : Epoch  5, Batch   3447, Loss  0.860124, Average Loss  0.868311, Time  0.172973
2021-09-11 14:36:26.290883 : Epoch  5, Batch   3448, Loss  0.863675, Average Loss  0.868276, Time  0.174821
2021-09-11 14:36:26.536099 : Epoch  5, Batch   1853, Loss  0.883620, Average Loss  0.870155, Time  0.239968
2021-09-11 14:36:27.887754 : Epoch  5, Batch   3449, Loss  0.893079, Average Loss  0.868263, Time  0.171009
2021-09-11 14:36:29.110864 : Epoch  5, Batch   1854, Loss  0.875655, Average Loss  0.870133, Time  0.240969
2021-09-11 14:36:29.500891 : Epoch  5, Batch   3450, Loss  0.877348, Average Loss  0.868210, Time  0.179131
2021-09-11 14:36:31.101738 : Epoch  5, Batch   3451, Loss  0.884082, Average Loss  0.868222, Time  0.180900
2021-09-11 14:36:31.689107 : Epoch  5, Batch   1855, Loss  0.861416, Average Loss  0.870079, Time  0.238068
2021-09-11 14:36:32.704764 : Epoch  5, Batch   3452, Loss  0.883388, Average Loss  0.868312, Time  0.169919
2021-09-11 14:36:34.266278 : Epoch  5, Batch   1856, Loss  0.874542, Average Loss  0.870239, Time  0.237648
2021-09-11 14:36:34.294750 : Epoch  5, Batch   3453, Loss  0.865483, Average Loss  0.868409, Time  0.170702
2021-09-11 14:36:34.297585 : Saving Model after 5-th Epoch.
2021-09-11 14:36:35.287618 : Epoch Finished.
2021-09-11 14:36:35.873790 : Epoch  5, Batch   3454, Loss  0.873603, Average Loss  0.868336, Time  0.170347
2021-09-11 14:36:37.483745 : Epoch  5, Batch   3455, Loss  0.857493, Average Loss  0.868238, Time  0.178462
2021-09-11 14:36:39.071676 : Epoch  5, Batch   3456, Loss  0.878230, Average Loss  0.868175, Time  0.170069
2021-09-11 14:36:44.050083 : Batch Shuffled
2021-09-11 14:36:46.660919 : Epoch  6, Batch      1, Loss  0.879349, Average Loss  0.870389, Time  0.277004
2021-09-11 14:36:49.250383 : Epoch  6, Batch      2, Loss  0.841958, Average Loss  0.870122, Time  0.253407
2021-09-11 14:36:51.839413 : Epoch  6, Batch      3, Loss  0.880457, Average Loss  0.870120, Time  0.242493
2021-09-11 14:36:54.413353 : Epoch  6, Batch      4, Loss  0.877700, Average Loss  0.870070, Time  0.237218
2021-09-11 14:36:56.982665 : Epoch  6, Batch      5, Loss  0.884413, Average Loss  0.870149, Time  0.237586
2021-09-11 14:36:59.549833 : Epoch  6, Batch      6, Loss  0.874662, Average Loss  0.870148, Time  0.238010
2021-09-11 14:37:02.136404 : Epoch  6, Batch      7, Loss  0.876953, Average Loss  0.870101, Time  0.239650
2021-09-11 14:37:04.706876 : Epoch  6, Batch      8, Loss  0.877906, Average Loss  0.870214, Time  0.237479
2021-09-11 14:37:07.285970 : Epoch  6, Batch      9, Loss  0.871886, Average Loss  0.870242, Time  0.237470
2021-09-11 14:37:09.864388 : Epoch  6, Batch     10, Loss  0.870592, Average Loss  0.870344, Time  0.238120
2021-09-11 14:37:12.434891 : Epoch  6, Batch     11, Loss  0.855281, Average Loss  0.870333, Time  0.237501
2021-09-11 14:37:15.005386 : Epoch  6, Batch     12, Loss  0.864634, Average Loss  0.870316, Time  0.237502
2021-09-11 14:37:17.585261 : Epoch  6, Batch     13, Loss  0.843291, Average Loss  0.870371, Time  0.238461
2021-09-11 14:37:20.167468 : Epoch  6, Batch     14, Loss  0.863013, Average Loss  0.870287, Time  0.238801
2021-09-11 14:37:22.747378 : Epoch  6, Batch     15, Loss  0.866989, Average Loss  0.870326, Time  0.237929
2021-09-11 14:37:25.339510 : Epoch  6, Batch     16, Loss  0.868555, Average Loss  0.870374, Time  0.238497
2021-09-11 14:37:27.915059 : Epoch  6, Batch     17, Loss  0.845409, Average Loss  0.870278, Time  0.237470
2021-09-11 14:37:30.491417 : Epoch  6, Batch     18, Loss  0.860559, Average Loss  0.870240, Time  0.238172
2021-09-11 14:37:33.063990 : Epoch  6, Batch     19, Loss  0.875661, Average Loss  0.870138, Time  0.238498
2021-09-11 14:37:35.635846 : Epoch  6, Batch     20, Loss  0.877231, Average Loss  0.870154, Time  0.240387
2021-09-11 14:41:19.602730 : CheckPoint: Validation Loss  0.00059616, Best Loss  0.00057296
2021-09-11 14:41:21.228896 : Epoch  5, Batch   3457, Loss  0.854322, Average Loss  0.868184, Time  0.178168
2021-09-11 14:41:22.850010 : Epoch  5, Batch   3458, Loss  0.886805, Average Loss  0.868227, Time  0.171346
2021-09-11 14:41:24.459814 : Epoch  5, Batch   3459, Loss  0.855327, Average Loss  0.868290, Time  0.170161
2021-09-11 14:41:26.069772 : Epoch  5, Batch   3460, Loss  0.868724, Average Loss  0.868199, Time  0.176337
2021-09-11 14:41:27.665827 : Epoch  5, Batch   3461, Loss  0.859877, Average Loss  0.868175, Time  0.169914
2021-09-11 14:41:29.248918 : Epoch  5, Batch   3462, Loss  0.872645, Average Loss  0.868246, Time  0.170071
2021-09-11 14:41:30.858765 : Epoch  5, Batch   3463, Loss  0.862432, Average Loss  0.868199, Time  0.170472
2021-09-11 14:41:32.453025 : Epoch  5, Batch   3464, Loss  0.851726, Average Loss  0.868241, Time  0.170078
2021-09-11 14:41:34.033827 : Epoch  5, Batch   3465, Loss  0.897668, Average Loss  0.868411, Time  0.169848
2021-09-11 14:41:35.636030 : Epoch  5, Batch   3466, Loss  0.880969, Average Loss  0.868442, Time  0.180844
2021-09-11 14:41:37.218751 : Epoch  5, Batch   3467, Loss  0.880984, Average Loss  0.868406, Time  0.177690
2021-09-11 14:41:37.420842 : CheckPoint: Validation Loss  0.00030254, Best Loss  0.00029019
2021-09-11 14:41:38.826753 : Epoch  5, Batch   3468, Loss  0.864871, Average Loss  0.868256, Time  0.175090
2021-09-11 14:41:39.990407 : Epoch  6, Batch     21, Loss  0.866926, Average Loss  0.870127, Time  0.238784
2021-09-11 14:41:40.402781 : Epoch  5, Batch   3469, Loss  0.866287, Average Loss  0.868151, Time  0.170046
2021-09-11 14:41:42.007032 : Epoch  5, Batch   3470, Loss  0.904253, Average Loss  0.868312, Time  0.173867
2021-09-11 14:41:42.569488 : Epoch  6, Batch     22, Loss  0.869651, Average Loss  0.870123, Time  0.237048
2021-09-11 14:41:43.587855 : Epoch  5, Batch   3471, Loss  0.882312, Average Loss  0.868227, Time  0.174344
2021-09-11 14:41:45.141106 : Epoch  6, Batch     23, Loss  0.888744, Average Loss  0.870171, Time  0.236892
2021-09-11 14:41:45.170035 : Epoch  5, Batch   3472, Loss  0.847119, Average Loss  0.868194, Time  0.170188
2021-09-11 14:41:46.771673 : Epoch  5, Batch   3473, Loss  0.852789, Average Loss  0.868242, Time  0.175315
2021-09-11 14:41:47.714955 : Epoch  6, Batch     24, Loss  0.886998, Average Loss  0.870251, Time  0.237453
2021-09-11 14:41:48.399748 : Epoch  5, Batch   3474, Loss  0.882034, Average Loss  0.868176, Time  0.171455
2021-09-11 14:41:50.013779 : Epoch  5, Batch   3475, Loss  0.888725, Average Loss  0.868265, Time  0.170533
2021-09-11 14:41:50.301024 : Epoch  6, Batch     25, Loss  0.857324, Average Loss  0.870056, Time  0.237467
2021-09-11 14:41:51.669746 : Epoch  5, Batch   3476, Loss  0.875446, Average Loss  0.868353, Time  0.170053
2021-09-11 14:41:52.919017 : Epoch  6, Batch     26, Loss  0.862462, Average Loss  0.870032, Time  0.258103
2021-09-11 14:41:53.297034 : Epoch  5, Batch   3477, Loss  0.878843, Average Loss  0.868200, Time  0.174523
2021-09-11 14:41:54.884741 : Epoch  5, Batch   3478, Loss  0.839712, Average Loss  0.868160, Time  0.170838
2021-09-11 14:41:55.525360 : Epoch  6, Batch     27, Loss  0.867887, Average Loss  0.870060, Time  0.237345
2021-09-11 14:41:56.485838 : Epoch  5, Batch   3479, Loss  0.869016, Average Loss  0.868017, Time  0.174999
2021-09-11 14:41:58.096029 : Epoch  6, Batch     28, Loss  0.870413, Average Loss  0.870029, Time  0.238313
2021-09-11 14:41:58.116023 : Epoch  5, Batch   3480, Loss  0.883653, Average Loss  0.868182, Time  0.179626
2021-09-11 14:41:59.723841 : Epoch  5, Batch   3481, Loss  0.876821, Average Loss  0.868234, Time  0.172946
2021-09-11 14:42:00.666056 : Epoch  6, Batch     29, Loss  0.861943, Average Loss  0.870007, Time  0.237379
2021-09-11 14:42:01.331859 : Epoch  5, Batch   3482, Loss  0.878705, Average Loss  0.868149, Time  0.173645
2021-09-11 14:42:02.924966 : Epoch  5, Batch   3483, Loss  0.857635, Average Loss  0.868079, Time  0.169819
2021-09-11 14:42:03.251366 : Epoch  6, Batch     30, Loss  0.866555, Average Loss  0.870090, Time  0.237633
2021-09-11 14:42:04.520784 : Epoch  5, Batch   3484, Loss  0.874750, Average Loss  0.868131, Time  0.175200
2021-09-11 14:42:05.830052 : Epoch  6, Batch     31, Loss  0.862501, Average Loss  0.870052, Time  0.237674
2021-09-11 14:42:06.121765 : Epoch  5, Batch   3485, Loss  0.879951, Average Loss  0.868155, Time  0.175584
2021-09-11 14:42:07.717739 : Epoch  5, Batch   3486, Loss  0.825277, Average Loss  0.867997, Time  0.171553
2021-09-11 14:42:08.415081 : Epoch  6, Batch     32, Loss  0.850880, Average Loss  0.869803, Time  0.240441
2021-09-11 14:42:09.305773 : Epoch  5, Batch   3487, Loss  0.872441, Average Loss  0.868099, Time  0.170869
2021-09-11 14:42:10.928740 : Epoch  5, Batch   3488, Loss  0.871378, Average Loss  0.868182, Time  0.178560
2021-09-11 14:42:11.024386 : Epoch  6, Batch     33, Loss  0.872067, Average Loss  0.869708, Time  0.238498
2021-09-11 14:42:12.533755 : Epoch  5, Batch   3489, Loss  0.890248, Average Loss  0.868270, Time  0.177456
2021-09-11 14:42:13.596930 : Epoch  6, Batch     34, Loss  0.878564, Average Loss  0.869742, Time  0.238560
2021-09-11 14:42:14.149789 : Epoch  5, Batch   3490, Loss  0.859931, Average Loss  0.868280, Time  0.169995
2021-09-11 14:42:15.736774 : Epoch  5, Batch   3491, Loss  0.841653, Average Loss  0.868103, Time  0.169830
2021-09-11 14:42:16.189773 : Epoch  6, Batch     35, Loss  0.884608, Average Loss  0.869828, Time  0.240241
2021-09-11 14:42:17.314744 : Epoch  5, Batch   3492, Loss  0.843351, Average Loss  0.868110, Time  0.172302
2021-09-11 14:42:18.766611 : Epoch  6, Batch     36, Loss  0.871396, Average Loss  0.869827, Time  0.237463
2021-09-11 14:42:18.925802 : Epoch  5, Batch   3493, Loss  0.883745, Average Loss  0.868096, Time  0.174810
2021-09-11 14:42:20.535826 : Epoch  5, Batch   3494, Loss  0.855752, Average Loss  0.868199, Time  0.171498
2021-09-11 14:42:21.398429 : Epoch  6, Batch     37, Loss  0.864538, Average Loss  0.869912, Time  0.265635
2021-09-11 14:42:22.128037 : Epoch  5, Batch   3495, Loss  0.886507, Average Loss  0.868202, Time  0.175361
2021-09-11 14:42:23.749760 : Epoch  5, Batch   3496, Loss  0.870593, Average Loss  0.868314, Time  0.172780
2021-09-11 14:42:24.015621 : Epoch  6, Batch     38, Loss  0.872095, Average Loss  0.869921, Time  0.238443
2021-09-11 14:42:25.325025 : Epoch  5, Batch   3497, Loss  0.870274, Average Loss  0.868242, Time  0.176182
2021-09-11 14:42:26.598373 : Epoch  6, Batch     39, Loss  0.863490, Average Loss  0.869822, Time  0.238804
2021-09-11 14:42:26.920739 : Epoch  5, Batch   3498, Loss  0.875497, Average Loss  0.868215, Time  0.175732
2021-09-11 14:42:28.510626 : Epoch  5, Batch   3499, Loss  0.858173, Average Loss  0.868301, Time  0.176644
2021-09-11 14:42:29.179378 : Epoch  6, Batch     40, Loss  0.851322, Average Loss  0.869682, Time  0.237425
2021-09-11 14:42:30.112742 : Epoch  5, Batch   3500, Loss  0.875025, Average Loss  0.868341, Time  0.171817
2021-09-11 14:42:31.709027 : Epoch  5, Batch   3501, Loss  0.884765, Average Loss  0.868474, Time  0.170988
2021-09-11 14:42:31.769424 : Epoch  6, Batch     41, Loss  0.872724, Average Loss  0.869786, Time  0.237463
2021-09-11 14:42:33.291743 : Epoch  5, Batch   3502, Loss  0.868358, Average Loss  0.868519, Time  0.170624
2021-09-11 14:42:34.356382 : Epoch  6, Batch     42, Loss  0.885854, Average Loss  0.869970, Time  0.237762
2021-09-11 14:42:34.868036 : Epoch  5, Batch   3503, Loss  0.856694, Average Loss  0.868607, Time  0.169725
2021-09-11 14:42:36.450037 : Epoch  5, Batch   3504, Loss  0.884157, Average Loss  0.868782, Time  0.171575
2021-09-11 14:42:36.946303 : Epoch  6, Batch     43, Loss  0.867940, Average Loss  0.869984, Time  0.237582
2021-09-11 14:42:38.046775 : Epoch  5, Batch   3505, Loss  0.888384, Average Loss  0.868761, Time  0.171468
2021-09-11 14:42:39.528502 : Epoch  6, Batch     44, Loss  0.871728, Average Loss  0.869949, Time  0.238085
2021-09-11 14:42:39.646804 : Epoch  5, Batch   3506, Loss  0.864199, Average Loss  0.868628, Time  0.182148
2021-09-11 14:42:41.225760 : Epoch  5, Batch   3507, Loss  0.869114, Average Loss  0.868476, Time  0.172683
2021-09-11 14:42:42.104101 : Epoch  6, Batch     45, Loss  0.872469, Average Loss  0.869972, Time  0.238484
2021-09-11 14:42:42.832787 : Epoch  5, Batch   3508, Loss  0.871249, Average Loss  0.868425, Time  0.169571
2021-09-11 14:42:44.422834 : Epoch  5, Batch   3509, Loss  0.871830, Average Loss  0.868447, Time  0.169486
2021-09-11 14:42:44.682942 : Epoch  6, Batch     46, Loss  0.888252, Average Loss  0.870110, Time  0.237134
2021-09-11 14:42:46.052786 : Epoch  5, Batch   3510, Loss  0.852075, Average Loss  0.868334, Time  0.172240
2021-09-11 14:42:47.259571 : Epoch  6, Batch     47, Loss  0.880414, Average Loss  0.870163, Time  0.237709
2021-09-11 14:42:47.643994 : Epoch  5, Batch   3511, Loss  0.873461, Average Loss  0.868446, Time  0.169506
2021-09-11 14:42:49.237802 : Epoch  5, Batch   3512, Loss  0.893976, Average Loss  0.868689, Time  0.169763
2021-09-11 14:42:49.837624 : Epoch  6, Batch     48, Loss  0.876667, Average Loss  0.870153, Time  0.237255
2021-09-11 14:42:50.823794 : Epoch  5, Batch   3513, Loss  0.879944, Average Loss  0.868668, Time  0.169980
2021-09-11 14:42:52.422828 : Epoch  5, Batch   3514, Loss  0.868440, Average Loss  0.868610, Time  0.169962
2021-09-11 14:42:54.057784 : Epoch  5, Batch   3515, Loss  0.876738, Average Loss  0.868629, Time  0.169722
2021-09-11 14:42:54.992447 : Epoch  6, Batch     50, Loss  0.866836, Average Loss  0.870074, Time  0.238536
2021-09-11 14:42:55.682827 : Epoch  5, Batch   3516, Loss  0.855720, Average Loss  0.868530, Time  0.169975
2021-09-11 14:42:57.285779 : Epoch  5, Batch   3517, Loss  0.855954, Average Loss  0.868506, Time  0.169676
2021-09-11 14:42:57.575389 : Epoch  6, Batch     51, Loss  0.861393, Average Loss  0.870090, Time  0.237418
2021-09-11 14:42:58.892802 : Epoch  5, Batch   3518, Loss  0.853472, Average Loss  0.868415, Time  0.169806
2021-09-11 14:43:00.148020 : Epoch  6, Batch     52, Loss  0.880384, Average Loss  0.870111, Time  0.236854
2021-09-11 14:43:00.491796 : Epoch  5, Batch   3519, Loss  0.850636, Average Loss  0.868134, Time  0.169736
2021-09-11 14:43:02.086725 : Epoch  5, Batch   3520, Loss  0.873843, Average Loss  0.868330, Time  0.169887
2021-09-11 14:43:02.725559 : Epoch  6, Batch     53, Loss  0.885411, Average Loss  0.870178, Time  0.237550
2021-09-11 14:43:03.721874 : Epoch  5, Batch   3521, Loss  0.884385, Average Loss  0.868456, Time  0.170525
2021-09-11 14:43:05.321001 : Epoch  5, Batch   3522, Loss  0.849921, Average Loss  0.868433, Time  0.169674
2021-09-11 14:43:06.940826 : Epoch  5, Batch   3523, Loss  0.870535, Average Loss  0.868456, Time  0.169902
2021-09-11 14:43:07.885437 : Epoch  6, Batch     55, Loss  0.867571, Average Loss  0.870103, Time  0.237900
2021-09-11 14:43:08.561741 : Epoch  5, Batch   3524, Loss  0.861327, Average Loss  0.868497, Time  0.169881
2021-09-11 14:43:10.185779 : Epoch  5, Batch   3525, Loss  0.865735, Average Loss  0.868538, Time  0.170128
2021-09-11 14:43:10.462914 : Epoch  6, Batch     56, Loss  0.867776, Average Loss  0.870086, Time  0.238441
2021-09-11 14:43:11.817000 : Epoch  5, Batch   3526, Loss  0.861260, Average Loss  0.868514, Time  0.169876
2021-09-11 14:43:13.043539 : Epoch  6, Batch     57, Loss  0.855983, Average Loss  0.869978, Time  0.238753
2021-09-11 14:43:13.425820 : Epoch  5, Batch   3527, Loss  0.871947, Average Loss  0.868602, Time  0.170092
2021-09-11 14:43:15.032790 : Epoch  5, Batch   3528, Loss  0.862506, Average Loss  0.868709, Time  0.169459
2021-09-11 14:43:15.624343 : Epoch  6, Batch     58, Loss  0.887239, Average Loss  0.870106, Time  0.237628
2021-09-11 14:43:16.624002 : Epoch  5, Batch   3529, Loss  0.864744, Average Loss  0.868628, Time  0.169977
2021-09-11 14:43:18.222000 : Epoch  5, Batch   3530, Loss  0.884876, Average Loss  0.868708, Time  0.169752
2021-09-11 14:43:18.228362 : Epoch  6, Batch     59, Loss  0.869750, Average Loss  0.870203, Time  0.238776
2021-09-11 14:43:19.820814 : Epoch  5, Batch   3531, Loss  0.883595, Average Loss  0.868831, Time  0.169759
2021-09-11 14:43:20.820071 : Epoch  6, Batch     60, Loss  0.859904, Average Loss  0.870055, Time  0.238289
2021-09-11 14:43:21.453006 : Epoch  5, Batch   3532, Loss  0.875568, Average Loss  0.868863, Time  0.169879
2021-09-11 14:43:23.072991 : Epoch  5, Batch   3533, Loss  0.906625, Average Loss  0.869077, Time  0.172252
2021-09-11 14:43:23.401080 : Epoch  6, Batch     61, Loss  0.867181, Average Loss  0.869977, Time  0.237976
2021-09-11 14:43:24.680843 : Epoch  5, Batch   3534, Loss  0.881059, Average Loss  0.869100, Time  0.169728
2021-09-11 14:43:25.974663 : Epoch  6, Batch     62, Loss  0.875412, Average Loss  0.870092, Time  0.237973
2021-09-11 14:43:26.295825 : Epoch  5, Batch   3535, Loss  0.880661, Average Loss  0.869187, Time  0.169868
2021-09-11 14:43:27.897994 : Epoch  5, Batch   3536, Loss  0.844410, Average Loss  0.869175, Time  0.169473
2021-09-11 14:43:28.544919 : Epoch  6, Batch     63, Loss  0.884594, Average Loss  0.870194, Time  0.237656
2021-09-11 14:43:29.512790 : Epoch  5, Batch   3537, Loss  0.870352, Average Loss  0.869290, Time  0.169987
2021-09-11 14:43:31.124993 : Epoch  5, Batch   3538, Loss  0.885960, Average Loss  0.869472, Time  0.172026
2021-09-11 14:43:31.146330 : Epoch  6, Batch     64, Loss  0.866475, Average Loss  0.870205, Time  0.237753
2021-09-11 14:43:32.756747 : Epoch  5, Batch   3539, Loss  0.882905, Average Loss  0.869688, Time  0.172606
2021-09-11 14:43:33.725627 : Epoch  6, Batch     65, Loss  0.859320, Average Loss  0.870088, Time  0.237562
2021-09-11 14:43:34.403768 : Epoch  5, Batch   3540, Loss  0.872310, Average Loss  0.869709, Time  0.171926
2021-09-11 14:43:36.007741 : Epoch  5, Batch   3541, Loss  0.868215, Average Loss  0.869729, Time  0.169951
2021-09-11 14:43:36.315055 : Epoch  6, Batch     66, Loss  0.854902, Average Loss  0.869994, Time  0.238141
2021-09-11 14:43:37.605765 : Epoch  5, Batch   3542, Loss  0.861597, Average Loss  0.869532, Time  0.169675
2021-09-11 14:43:38.915858 : Epoch  6, Batch     67, Loss  0.855580, Average Loss  0.869885, Time  0.237732
2021-09-11 14:43:39.207824 : Epoch  5, Batch   3543, Loss  0.887525, Average Loss  0.869515, Time  0.169460
2021-09-11 14:43:40.820847 : Epoch  5, Batch   3544, Loss  0.884594, Average Loss  0.869659, Time  0.169634
2021-09-11 14:43:41.500939 : Epoch  6, Batch     68, Loss  0.852528, Average Loss  0.869862, Time  0.237679
2021-09-11 14:43:42.425773 : Epoch  5, Batch   3545, Loss  0.873611, Average Loss  0.869749, Time  0.169695
2021-09-11 14:43:44.041746 : Epoch  5, Batch   3546, Loss  0.871859, Average Loss  0.869743, Time  0.169678
2021-09-11 14:43:44.083957 : Epoch  6, Batch     69, Loss  0.866636, Average Loss  0.869894, Time  0.238209
2021-09-11 14:43:45.650789 : Epoch  5, Batch   3547, Loss  0.879305, Average Loss  0.869708, Time  0.169957
2021-09-11 14:43:46.675848 : Epoch  6, Batch     70, Loss  0.880187, Average Loss  0.870007, Time  0.241265
2021-09-11 14:43:47.258823 : Epoch  5, Batch   3548, Loss  0.861251, Average Loss  0.869707, Time  0.169963
2021-09-11 14:43:48.861753 : Epoch  5, Batch   3549, Loss  0.861746, Average Loss  0.869679, Time  0.169840
2021-09-11 14:43:49.275581 : Epoch  6, Batch     71, Loss  0.890243, Average Loss  0.870075, Time  0.237833
2021-09-11 14:43:50.478002 : Epoch  5, Batch   3550, Loss  0.848790, Average Loss  0.869698, Time  0.169881
2021-09-11 14:43:51.857396 : Epoch  6, Batch     72, Loss  0.881171, Average Loss  0.870116, Time  0.237204
2021-09-11 14:43:52.081752 : Epoch  5, Batch   3551, Loss  0.902231, Average Loss  0.869841, Time  0.169842
2021-09-11 14:43:53.679747 : Epoch  5, Batch   3552, Loss  0.840334, Average Loss  0.869797, Time  0.169500
2021-09-11 14:43:54.438194 : Epoch  6, Batch     73, Loss  0.869872, Average Loss  0.869995, Time  0.237594
2021-09-11 14:43:55.285766 : Epoch  5, Batch   3553, Loss  0.879307, Average Loss  0.869655, Time  0.170058
2021-09-11 14:43:56.891778 : Epoch  5, Batch   3554, Loss  0.896282, Average Loss  0.869577, Time  0.170365
2021-09-11 14:43:57.021034 : Epoch  6, Batch     74, Loss  0.877075, Average Loss  0.870100, Time  0.238130
2021-09-11 14:43:58.498821 : Epoch  5, Batch   3555, Loss  0.850687, Average Loss  0.869570, Time  0.169970
2021-09-11 14:43:59.592901 : Epoch  6, Batch     75, Loss  0.852114, Average Loss  0.869992, Time  0.237807
2021-09-11 14:44:00.100034 : Epoch  5, Batch   3556, Loss  0.882648, Average Loss  0.869668, Time  0.170220
2021-09-11 14:44:02.179452 : Epoch  6, Batch     76, Loss  0.852929, Average Loss  0.869952, Time  0.238028
2021-09-11 14:44:04.768379 : Epoch  6, Batch     77, Loss  0.870344, Average Loss  0.869911, Time  0.237568
2021-09-11 14:44:07.343353 : Epoch  6, Batch     78, Loss  0.854246, Average Loss  0.869706, Time  0.237117
2021-09-11 14:44:09.947134 : Epoch  6, Batch     79, Loss  0.853182, Average Loss  0.869568, Time  0.237518
2021-09-11 14:44:12.532387 : Epoch  6, Batch     80, Loss  0.895440, Average Loss  0.869685, Time  0.239022
2021-09-11 14:44:15.112990 : Epoch  6, Batch     81, Loss  0.896614, Average Loss  0.869701, Time  0.240066
2021-09-11 14:44:17.700409 : Epoch  6, Batch     82, Loss  0.879602, Average Loss  0.869733, Time  0.237936
2021-09-11 14:44:20.281101 : Epoch  6, Batch     83, Loss  0.849429, Average Loss  0.869739, Time  0.238963
2021-09-11 14:44:22.865051 : Epoch  6, Batch     84, Loss  0.850174, Average Loss  0.869627, Time  0.238035
2021-09-11 14:44:25.448094 : Epoch  6, Batch     85, Loss  0.846807, Average Loss  0.869572, Time  0.239797
2021-09-11 14:44:28.025566 : Epoch  6, Batch     86, Loss  0.892276, Average Loss  0.869764, Time  0.238158
2021-09-11 14:44:30.609182 : Epoch  6, Batch     87, Loss  0.878033, Average Loss  0.869840, Time  0.237560
2021-09-11 14:44:33.191535 : Epoch  6, Batch     88, Loss  0.857013, Average Loss  0.869721, Time  0.237879
2021-09-11 14:44:35.772041 : Epoch  6, Batch     89, Loss  0.864907, Average Loss  0.869615, Time  0.237514
2021-09-11 14:44:38.375206 : Epoch  6, Batch     90, Loss  0.870765, Average Loss  0.869586, Time  0.238947
2021-09-11 14:44:40.967030 : Epoch  6, Batch     91, Loss  0.875582, Average Loss  0.869562, Time  0.242074
2021-09-11 14:44:43.544904 : Epoch  6, Batch     92, Loss  0.865916, Average Loss  0.869549, Time  0.237655
2021-09-11 14:44:46.134962 : Epoch  6, Batch     93, Loss  0.879788, Average Loss  0.869512, Time  0.238388
2021-09-11 14:44:48.718943 : Epoch  6, Batch     94, Loss  0.869585, Average Loss  0.869541, Time  0.237906
2021-09-11 14:44:51.326844 : Epoch  6, Batch     95, Loss  0.883641, Average Loss  0.869582, Time  0.237726
2021-09-11 14:44:53.909034 : Epoch  6, Batch     96, Loss  0.889377, Average Loss  0.869633, Time  0.237554
2021-09-11 14:44:56.487891 : Epoch  6, Batch     97, Loss  0.865678, Average Loss  0.869596, Time  0.237757
2021-09-11 14:44:59.076190 : Epoch  6, Batch     98, Loss  0.866777, Average Loss  0.869520, Time  0.237847
2021-09-11 14:45:01.666352 : Epoch  6, Batch     99, Loss  0.875975, Average Loss  0.869493, Time  0.240674
2021-09-11 14:45:04.249431 : Epoch  6, Batch    100, Loss  0.870751, Average Loss  0.869530, Time  0.237312
2021-09-11 14:45:06.826431 : Epoch  6, Batch    101, Loss  0.877204, Average Loss  0.869600, Time  0.237940
2021-09-11 14:45:09.414456 : Epoch  6, Batch    102, Loss  0.859073, Average Loss  0.869538, Time  0.237275
2021-09-11 14:45:11.988983 : Epoch  6, Batch    103, Loss  0.853592, Average Loss  0.869386, Time  0.237490
2021-09-11 14:45:14.567518 : Epoch  6, Batch    104, Loss  0.861395, Average Loss  0.869439, Time  0.239227
2021-09-11 14:45:17.146482 : Epoch  6, Batch    105, Loss  0.875957, Average Loss  0.869627, Time  0.237288
2021-09-11 14:45:19.770404 : Epoch  6, Batch    106, Loss  0.875083, Average Loss  0.869704, Time  0.258613
2021-09-11 14:45:22.353382 : Epoch  6, Batch    107, Loss  0.869529, Average Loss  0.869720, Time  0.238272
2021-09-11 14:45:24.934397 : Epoch  6, Batch    108, Loss  0.882066, Average Loss  0.869842, Time  0.237884
2021-09-11 14:45:27.515444 : Epoch  6, Batch    109, Loss  0.867062, Average Loss  0.869718, Time  0.237952
2021-09-11 14:45:30.120595 : Epoch  6, Batch    110, Loss  0.856750, Average Loss  0.869589, Time  0.237696
2021-09-11 14:45:32.701274 : Epoch  6, Batch    111, Loss  0.878245, Average Loss  0.869669, Time  0.237739
2021-09-11 14:45:35.286889 : Epoch  6, Batch    112, Loss  0.877075, Average Loss  0.869635, Time  0.238971
2021-09-11 14:45:37.874054 : Epoch  6, Batch    113, Loss  0.861960, Average Loss  0.869585, Time  0.238475
2021-09-11 14:45:40.459514 : Epoch  6, Batch    114, Loss  0.853238, Average Loss  0.869473, Time  0.238597
2021-09-11 14:45:43.037006 : Epoch  6, Batch    115, Loss  0.868049, Average Loss  0.869509, Time  0.237861
2021-09-11 14:45:45.654811 : Epoch  6, Batch    116, Loss  0.883883, Average Loss  0.869430, Time  0.238321
2021-09-11 14:45:48.238040 : Epoch  6, Batch    117, Loss  0.886115, Average Loss  0.869431, Time  0.238795
2021-09-11 14:45:50.817031 : Epoch  6, Batch    118, Loss  0.857040, Average Loss  0.869452, Time  0.237485
2021-09-11 14:45:53.397061 : Epoch  6, Batch    119, Loss  0.884271, Average Loss  0.869514, Time  0.237758
2021-09-11 14:45:55.984980 : Epoch  6, Batch    120, Loss  0.862530, Average Loss  0.869477, Time  0.237788
2021-09-11 14:48:40.803729 : CheckPoint: Validation Loss  0.00060308, Best Loss  0.00057296
2021-09-11 14:48:42.405935 : Epoch  5, Batch   3557, Loss  0.864451, Average Loss  0.869610, Time  0.177948
2021-09-11 14:48:43.989725 : Epoch  5, Batch   3558, Loss  0.870814, Average Loss  0.869590, Time  0.170081
2021-09-11 14:48:45.586473 : Epoch  5, Batch   3559, Loss  0.855089, Average Loss  0.869415, Time  0.170115
2021-09-11 14:48:47.178035 : Epoch  5, Batch   3560, Loss  0.837185, Average Loss  0.869276, Time  0.170429
2021-09-11 14:48:48.766846 : Epoch  5, Batch   3561, Loss  0.874520, Average Loss  0.869307, Time  0.169642
2021-09-11 14:48:50.346257 : Epoch  5, Batch   3562, Loss  0.893812, Average Loss  0.869371, Time  0.169776
2021-09-11 14:48:51.929766 : Epoch  5, Batch   3563, Loss  0.875144, Average Loss  0.869333, Time  0.169879
2021-09-11 14:48:53.531001 : Epoch  5, Batch   3564, Loss  0.846627, Average Loss  0.869253, Time  0.169617
2021-09-11 14:48:55.155998 : Epoch  5, Batch   3565, Loss  0.832336, Average Loss  0.869024, Time  0.169829
2021-09-11 14:48:56.793995 : Epoch  5, Batch   3566, Loss  0.882008, Average Loss  0.869169, Time  0.169898
2021-09-11 14:48:58.400858 : Epoch  5, Batch   3567, Loss  0.876368, Average Loss  0.869304, Time  0.169730
2021-09-11 14:49:00.006993 : Epoch  5, Batch   3568, Loss  0.847970, Average Loss  0.869234, Time  0.169591
2021-09-11 14:49:01.614743 : Epoch  5, Batch   3569, Loss  0.882282, Average Loss  0.869244, Time  0.169764
2021-09-11 14:49:03.233001 : Epoch  5, Batch   3570, Loss  0.881026, Average Loss  0.869180, Time  0.169841
2021-09-11 14:49:04.832994 : Epoch  5, Batch   3571, Loss  0.893126, Average Loss  0.869343, Time  0.169537
2021-09-11 14:49:06.451934 : Epoch  5, Batch   3572, Loss  0.870794, Average Loss  0.869475, Time  0.169790
2021-09-11 14:49:08.071740 : Epoch  5, Batch   3573, Loss  0.847543, Average Loss  0.869301, Time  0.169748
2021-09-11 14:49:09.681767 : Epoch  5, Batch   3574, Loss  0.867310, Average Loss  0.869328, Time  0.169765
2021-09-11 14:49:11.277984 : Epoch  5, Batch   3575, Loss  0.847816, Average Loss  0.869333, Time  0.169542
2021-09-11 14:49:12.870755 : Epoch  5, Batch   3576, Loss  0.871225, Average Loss  0.869373, Time  0.169727
2021-09-11 14:49:14.475751 : Epoch  5, Batch   3577, Loss  0.835213, Average Loss  0.869138, Time  0.169601
2021-09-11 14:49:16.080776 : Epoch  5, Batch   3578, Loss  0.856825, Average Loss  0.869071, Time  0.170229
2021-09-11 14:49:17.694936 : Epoch  5, Batch   3579, Loss  0.897404, Average Loss  0.869334, Time  0.169546
2021-09-11 14:49:19.306752 : Epoch  5, Batch   3580, Loss  0.899351, Average Loss  0.869397, Time  0.170078
2021-09-11 14:49:20.929001 : Epoch  5, Batch   3581, Loss  0.848675, Average Loss  0.869428, Time  0.169899
2021-09-11 14:49:22.580818 : Epoch  5, Batch   3582, Loss  0.881892, Average Loss  0.869487, Time  0.181544
2021-09-11 14:49:24.186835 : Epoch  5, Batch   3583, Loss  0.882532, Average Loss  0.869612, Time  0.173235
2021-09-11 14:49:25.806736 : Epoch  5, Batch   3584, Loss  0.883890, Average Loss  0.869772, Time  0.169986
2021-09-11 14:49:27.388781 : Epoch  5, Batch   3585, Loss  0.859557, Average Loss  0.869468, Time  0.179368
2021-09-11 14:49:28.968748 : Epoch  5, Batch   3586, Loss  0.865518, Average Loss  0.869644, Time  0.172532
2021-09-11 14:49:30.574756 : Epoch  5, Batch   3587, Loss  0.885635, Average Loss  0.869634, Time  0.169759
2021-09-11 14:49:32.163830 : Epoch  5, Batch   3588, Loss  0.825856, Average Loss  0.869240, Time  0.170015
2021-09-11 14:49:33.800752 : Epoch  5, Batch   3589, Loss  0.855508, Average Loss  0.869097, Time  0.173275
2021-09-11 14:49:35.386507 : Epoch  5, Batch   3590, Loss  0.856573, Average Loss  0.868990, Time  0.169958
2021-09-11 14:49:36.990736 : Epoch  5, Batch   3591, Loss  0.863103, Average Loss  0.869021, Time  0.170964
2021-09-11 14:49:38.606034 : Epoch  5, Batch   3592, Loss  0.869808, Average Loss  0.869019, Time  0.169814
2021-09-11 14:49:40.194260 : Epoch  5, Batch   3593, Loss  0.869725, Average Loss  0.868945, Time  0.169877
2021-09-11 14:49:41.827769 : Epoch  5, Batch   3594, Loss  0.854103, Average Loss  0.868988, Time  0.172281
2021-09-11 14:49:43.414752 : Epoch  5, Batch   3595, Loss  0.850212, Average Loss  0.868912, Time  0.174217
2021-09-11 14:49:45.048030 : Epoch  5, Batch   3596, Loss  0.892708, Average Loss  0.868955, Time  0.176031
2021-09-11 14:49:46.686746 : Epoch  5, Batch   3597, Loss  0.860003, Average Loss  0.868837, Time  0.177923
2021-09-11 14:49:48.292036 : Epoch  5, Batch   3598, Loss  0.896133, Average Loss  0.868862, Time  0.169986
2021-09-11 14:49:49.887021 : Epoch  5, Batch   3599, Loss  0.905511, Average Loss  0.868954, Time  0.169655
2021-09-11 14:49:51.484892 : Epoch  5, Batch   3600, Loss  0.846335, Average Loss  0.868797, Time  0.175159
2021-09-11 14:49:53.088781 : Epoch  5, Batch   3601, Loss  0.850519, Average Loss  0.868663, Time  0.181055
2021-09-11 14:49:54.700029 : Epoch  5, Batch   3602, Loss  0.861202, Average Loss  0.868776, Time  0.171434
2021-09-11 14:49:56.310753 : Epoch  5, Batch   3603, Loss  0.834982, Average Loss  0.868512, Time  0.170574
2021-09-11 14:49:57.922025 : Epoch  5, Batch   3604, Loss  0.877076, Average Loss  0.868557, Time  0.172210
2021-09-11 14:49:59.093734 : CheckPoint: Validation Loss  0.00031158, Best Loss  0.00029019
2021-09-11 14:49:59.527743 : Epoch  5, Batch   3605, Loss  0.880829, Average Loss  0.868638, Time  0.169956
2021-09-11 14:50:01.106779 : Epoch  5, Batch   3606, Loss  0.887266, Average Loss  0.868914, Time  0.176291
2021-09-11 14:50:01.686981 : Epoch  6, Batch    121, Loss  0.874259, Average Loss  0.869550, Time  0.240296
2021-09-11 14:50:02.691652 : Epoch  5, Batch   3607, Loss  0.891158, Average Loss  0.868995, Time  0.174529
2021-09-11 14:50:04.277032 : Epoch  5, Batch   3608, Loss  0.841994, Average Loss  0.868915, Time  0.170260
2021-09-11 14:50:04.277994 : Epoch  6, Batch    122, Loss  0.876105, Average Loss  0.869579, Time  0.239115
2021-09-11 14:50:05.887736 : Epoch  5, Batch   3609, Loss  0.850207, Average Loss  0.868824, Time  0.181529
2021-09-11 14:50:06.882241 : Epoch  6, Batch    123, Loss  0.847109, Average Loss  0.869429, Time  0.238910
2021-09-11 14:50:07.476738 : Epoch  5, Batch   3610, Loss  0.881779, Average Loss  0.868754, Time  0.174355
2021-09-11 14:50:09.066781 : Epoch  5, Batch   3611, Loss  0.892443, Average Loss  0.868814, Time  0.170029
2021-09-11 14:50:09.470082 : Epoch  6, Batch    124, Loss  0.846835, Average Loss  0.869374, Time  0.241202
2021-09-11 14:50:10.678743 : Epoch  5, Batch   3612, Loss  0.842970, Average Loss  0.868788, Time  0.170220
2021-09-11 14:50:12.054372 : Epoch  6, Batch    125, Loss  0.877997, Average Loss  0.869543, Time  0.237937
2021-09-11 14:50:12.286041 : Epoch  5, Batch   3613, Loss  0.862510, Average Loss  0.868730, Time  0.169804
2021-09-11 14:50:13.863037 : Epoch  5, Batch   3614, Loss  0.858514, Average Loss  0.868616, Time  0.169737
2021-09-11 14:50:14.693940 : Epoch  6, Batch    126, Loss  0.861506, Average Loss  0.869468, Time  0.238536
2021-09-11 14:50:15.470763 : Epoch  5, Batch   3615, Loss  0.880010, Average Loss  0.868726, Time  0.172902
2021-09-11 14:50:17.278033 : Epoch  5, Batch   3616, Loss  0.878071, Average Loss  0.868748, Time  0.174746
2021-09-11 14:50:17.284359 : Epoch  6, Batch    127, Loss  0.866045, Average Loss  0.869339, Time  0.238051
2021-09-11 14:50:18.889035 : Epoch  5, Batch   3617, Loss  0.883155, Average Loss  0.868895, Time  0.169966
2021-09-11 14:50:19.879345 : Epoch  6, Batch    128, Loss  0.863424, Average Loss  0.869434, Time  0.240198
2021-09-11 14:50:20.494870 : Epoch  5, Batch   3618, Loss  0.858746, Average Loss  0.868760, Time  0.169983
2021-09-11 14:50:22.087871 : Epoch  5, Batch   3619, Loss  0.865696, Average Loss  0.868685, Time  0.170249
2021-09-11 14:50:22.484581 : Epoch  6, Batch    129, Loss  0.886519, Average Loss  0.869532, Time  0.239325
2021-09-11 14:50:23.680850 : Epoch  5, Batch   3620, Loss  0.871485, Average Loss  0.868694, Time  0.172765
2021-09-11 14:50:25.066393 : Epoch  6, Batch    130, Loss  0.876647, Average Loss  0.869540, Time  0.237921
2021-09-11 14:50:25.274901 : Epoch  5, Batch   3621, Loss  0.883339, Average Loss  0.868850, Time  0.169950
2021-09-11 14:50:26.886825 : Epoch  5, Batch   3622, Loss  0.866256, Average Loss  0.868926, Time  0.176155
2021-09-11 14:50:27.644389 : Epoch  6, Batch    131, Loss  0.866393, Average Loss  0.869515, Time  0.240348
2021-09-11 14:50:28.504771 : Epoch  5, Batch   3623, Loss  0.887777, Average Loss  0.869120, Time  0.171189
2021-09-11 14:50:30.121027 : Epoch  5, Batch   3624, Loss  0.855470, Average Loss  0.869094, Time  0.171756
2021-09-11 14:50:30.222101 : Epoch  6, Batch    132, Loss  0.839112, Average Loss  0.869282, Time  0.237286
2021-09-11 14:50:31.717769 : Epoch  5, Batch   3625, Loss  0.849826, Average Loss  0.869048, Time  0.174888
2021-09-11 14:50:32.807439 : Epoch  6, Batch    133, Loss  0.878283, Average Loss  0.869307, Time  0.244687
2021-09-11 14:50:33.316737 : Epoch  5, Batch   3626, Loss  0.881003, Average Loss  0.868989, Time  0.170499
2021-09-11 14:50:34.935033 : Epoch  5, Batch   3627, Loss  0.873911, Average Loss  0.869046, Time  0.169865
2021-09-11 14:50:35.400008 : Epoch  6, Batch    134, Loss  0.853703, Average Loss  0.869271, Time  0.237488
2021-09-11 14:50:36.516369 : Epoch  5, Batch   3628, Loss  0.865967, Average Loss  0.869061, Time  0.170356
2021-09-11 14:50:37.974192 : Epoch  6, Batch    135, Loss  0.862560, Average Loss  0.869249, Time  0.237132
2021-09-11 14:50:38.111032 : Epoch  5, Batch   3629, Loss  0.878492, Average Loss  0.869112, Time  0.177015
2021-09-11 14:50:39.716763 : Epoch  5, Batch   3630, Loss  0.890200, Average Loss  0.869199, Time  0.171032
2021-09-11 14:50:40.564189 : Epoch  6, Batch    136, Loss  0.866513, Average Loss  0.869166, Time  0.237403
2021-09-11 14:50:41.318744 : Epoch  5, Batch   3631, Loss  0.877651, Average Loss  0.869274, Time  0.184219
2021-09-11 14:50:42.964876 : Epoch  5, Batch   3632, Loss  0.881484, Average Loss  0.869300, Time  0.169827
2021-09-11 14:50:43.151833 : Epoch  6, Batch    137, Loss  0.876009, Average Loss  0.869167, Time  0.240695
2021-09-11 14:50:44.566036 : Epoch  5, Batch   3633, Loss  0.870714, Average Loss  0.869307, Time  0.175779
2021-09-11 14:50:45.728997 : Epoch  6, Batch    138, Loss  0.872829, Average Loss  0.869260, Time  0.237840
2021-09-11 14:50:46.181036 : Epoch  5, Batch   3634, Loss  0.864297, Average Loss  0.869305, Time  0.174031
2021-09-11 14:50:47.787035 : Epoch  5, Batch   3635, Loss  0.866171, Average Loss  0.869457, Time  0.179554
2021-09-11 14:50:48.307200 : Epoch  6, Batch    139, Loss  0.866816, Average Loss  0.869186, Time  0.238093
2021-09-11 14:50:49.389856 : Epoch  5, Batch   3636, Loss  0.861717, Average Loss  0.869441, Time  0.170044
2021-09-11 14:50:50.902805 : Epoch  6, Batch    140, Loss  0.858863, Average Loss  0.869098, Time  0.240770
2021-09-11 14:50:50.996751 : Epoch  5, Batch   3637, Loss  0.836066, Average Loss  0.869273, Time  0.170033
2021-09-11 14:50:52.610822 : Epoch  5, Batch   3638, Loss  0.865317, Average Loss  0.869229, Time  0.171286
2021-09-11 14:50:53.503910 : Epoch  6, Batch    141, Loss  0.883580, Average Loss  0.869242, Time  0.240637
2021-09-11 14:50:54.200748 : Epoch  5, Batch   3639, Loss  0.861490, Average Loss  0.869073, Time  0.171858
2021-09-11 14:50:55.806877 : Epoch  5, Batch   3640, Loss  0.888372, Average Loss  0.869169, Time  0.170238
2021-09-11 14:50:56.108894 : Epoch  6, Batch    142, Loss  0.849604, Average Loss  0.868995, Time  0.240495
2021-09-11 14:50:57.428785 : Epoch  5, Batch   3641, Loss  0.829071, Average Loss  0.868912, Time  0.170338
2021-09-11 14:50:58.692825 : Epoch  6, Batch    143, Loss  0.888912, Average Loss  0.869193, Time  0.237351
2021-09-11 14:50:59.061788 : Epoch  5, Batch   3642, Loss  0.882520, Average Loss  0.869038, Time  0.171192
2021-09-11 14:51:00.655032 : Epoch  5, Batch   3643, Loss  0.842021, Average Loss  0.869063, Time  0.172337
2021-09-11 14:51:01.285399 : Epoch  6, Batch    144, Loss  0.888456, Average Loss  0.869278, Time  0.237003
2021-09-11 14:51:02.234154 : Epoch  5, Batch   3644, Loss  0.873551, Average Loss  0.869324, Time  0.170703
2021-09-11 14:51:03.842774 : Epoch  5, Batch   3645, Loss  0.851759, Average Loss  0.869262, Time  0.173951
2021-09-11 14:51:04.005289 : Epoch  6, Batch    145, Loss  0.880002, Average Loss  0.869394, Time  0.374858
2021-09-11 14:51:05.461031 : Epoch  5, Batch   3646, Loss  0.836559, Average Loss  0.869128, Time  0.185303
2021-09-11 14:51:06.596910 : Epoch  6, Batch    146, Loss  0.858163, Average Loss  0.869368, Time  0.237396
2021-09-11 14:51:07.076789 : Epoch  5, Batch   3647, Loss  0.863147, Average Loss  0.869143, Time  0.172046
2021-09-11 14:51:08.673418 : Epoch  5, Batch   3648, Loss  0.885002, Average Loss  0.869250, Time  0.169948
2021-09-11 14:51:09.954119 : Epoch  6, Batch    147, Loss  0.891766, Average Loss  0.869492, Time  0.267446
2021-09-11 14:51:10.258781 : Epoch  5, Batch   3649, Loss  0.873713, Average Loss  0.869153, Time  0.170550
2021-09-11 14:51:11.835590 : Epoch  5, Batch   3650, Loss  0.857589, Average Loss  0.869054, Time  0.170189
2021-09-11 14:51:13.450832 : Epoch  5, Batch   3651, Loss  0.890923, Average Loss  0.869088, Time  0.169846
2021-09-11 14:51:13.843872 : Epoch  6, Batch    148, Loss  0.867786, Average Loss  0.869508, Time  0.248870
2021-09-11 14:51:15.050769 : Epoch  5, Batch   3652, Loss  0.874963, Average Loss  0.869046, Time  0.173792
2021-09-11 14:51:16.646799 : Epoch  5, Batch   3653, Loss  0.845177, Average Loss  0.868944, Time  0.172419
2021-09-11 14:51:17.141131 : Epoch  6, Batch    149, Loss  0.878119, Average Loss  0.869504, Time  0.238648
2021-09-11 14:51:18.277841 : Epoch  5, Batch   3654, Loss  0.853406, Average Loss  0.868843, Time  0.170100
2021-09-11 14:51:19.913781 : Epoch  5, Batch   3655, Loss  0.869362, Average Loss  0.868903, Time  0.170394
2021-09-11 14:51:21.538910 : Epoch  5, Batch   3656, Loss  0.867839, Average Loss  0.868851, Time  0.170386
2021-09-11 14:51:22.957923 : Epoch  6, Batch    150, Loss  0.893158, Average Loss  0.869643, Time  0.394029
2021-09-11 14:51:27.599944 : Epoch  6, Batch    151, Loss  0.864334, Average Loss  0.869625, Time  0.286307
2021-09-11 14:51:34.294888 : Epoch  6, Batch    152, Loss  0.890861, Average Loss  0.869703, Time  0.394127
2021-09-11 14:51:40.927871 : Epoch  6, Batch    153, Loss  0.846490, Average Loss  0.869645, Time  0.269828
2021-09-11 14:51:46.361118 : Epoch  6, Batch    154, Loss  0.892157, Average Loss  0.869616, Time  0.242086
2021-09-11 14:51:49.033869 : Epoch  6, Batch    155, Loss  0.888106, Average Loss  0.869823, Time  0.238568
2021-09-11 14:51:52.654802 : Epoch  6, Batch    156, Loss  0.877424, Average Loss  0.869858, Time  0.240311
2021-09-11 14:51:55.259931 : Epoch  6, Batch    157, Loss  0.874138, Average Loss  0.870003, Time  0.237545
2021-09-11 14:51:57.846968 : Epoch  6, Batch    158, Loss  0.856193, Average Loss  0.869993, Time  0.237420
2021-09-11 14:52:00.427986 : Epoch  6, Batch    159, Loss  0.867398, Average Loss  0.869958, Time  0.238130
2021-09-11 14:52:03.021869 : Epoch  6, Batch    160, Loss  0.870464, Average Loss  0.869937, Time  0.239092
2021-09-11 14:52:05.626175 : Epoch  6, Batch    161, Loss  0.903302, Average Loss  0.870057, Time  0.238534
2021-09-11 14:52:08.213881 : Epoch  6, Batch    162, Loss  0.862159, Average Loss  0.870095, Time  0.237955
2021-09-11 14:52:10.797157 : Epoch  6, Batch    163, Loss  0.858312, Average Loss  0.870082, Time  0.237478
2021-09-11 14:52:13.379048 : Epoch  6, Batch    164, Loss  0.832145, Average Loss  0.869881, Time  0.238258
2021-09-11 14:52:15.975998 : Epoch  6, Batch    165, Loss  0.883962, Average Loss  0.869924, Time  0.238268
2021-09-11 14:52:18.569049 : Epoch  6, Batch    166, Loss  0.896359, Average Loss  0.869974, Time  0.238067
2021-09-11 14:52:21.152949 : Epoch  6, Batch    167, Loss  0.857540, Average Loss  0.869877, Time  0.238359
2021-09-11 14:52:23.735703 : Epoch  6, Batch    168, Loss  0.863199, Average Loss  0.869869, Time  0.237203
2021-09-11 14:52:26.318556 : Epoch  6, Batch    169, Loss  0.863411, Average Loss  0.869951, Time  0.237057
2021-09-11 14:52:28.894048 : Epoch  6, Batch    170, Loss  0.856157, Average Loss  0.869923, Time  0.238536
2021-09-11 14:52:31.478227 : Epoch  6, Batch    171, Loss  0.874818, Average Loss  0.869929, Time  0.237943
2021-09-11 14:52:34.076168 : Epoch  6, Batch    172, Loss  0.885207, Average Loss  0.869870, Time  0.238631
2021-09-11 14:52:36.669090 : Epoch  6, Batch    173, Loss  0.866819, Average Loss  0.869851, Time  0.238615
2021-09-11 14:52:39.256994 : Epoch  6, Batch    174, Loss  0.864612, Average Loss  0.869778, Time  0.237749
2021-09-11 14:52:41.845423 : Epoch  6, Batch    175, Loss  0.883067, Average Loss  0.869740, Time  0.237853
2021-09-11 14:52:44.484943 : Epoch  6, Batch    176, Loss  0.878192, Average Loss  0.869840, Time  0.237964
2021-09-11 14:52:47.078353 : Epoch  6, Batch    177, Loss  0.857457, Average Loss  0.869671, Time  0.239501
2021-09-11 14:52:49.660071 : Epoch  6, Batch    178, Loss  0.859974, Average Loss  0.869667, Time  0.237972
2021-09-11 14:52:52.243362 : Epoch  6, Batch    179, Loss  0.873751, Average Loss  0.869602, Time  0.238654
2021-09-11 14:52:54.822022 : Epoch  6, Batch    180, Loss  0.862954, Average Loss  0.869433, Time  0.238825
2021-09-11 14:52:57.396576 : Epoch  6, Batch    181, Loss  0.886703, Average Loss  0.869607, Time  0.236816
2021-09-11 14:52:59.985878 : Epoch  6, Batch    182, Loss  0.876782, Average Loss  0.869695, Time  0.238580
2021-09-11 14:53:02.578949 : Epoch  6, Batch    183, Loss  0.890309, Average Loss  0.869881, Time  0.240796
2021-09-11 14:53:05.169916 : Epoch  6, Batch    184, Loss  0.886710, Average Loss  0.870012, Time  0.237198
2021-09-11 14:53:07.756610 : Epoch  6, Batch    185, Loss  0.865474, Average Loss  0.869936, Time  0.238818
2021-09-11 14:53:10.345168 : Epoch  6, Batch    186, Loss  0.860620, Average Loss  0.869953, Time  0.239461
2021-09-11 14:53:12.936471 : Epoch  6, Batch    187, Loss  0.866467, Average Loss  0.869922, Time  0.237505
2021-09-11 14:53:15.524245 : Epoch  6, Batch    188, Loss  0.881677, Average Loss  0.870013, Time  0.238999
2021-09-11 14:53:18.121887 : Epoch  6, Batch    189, Loss  0.876852, Average Loss  0.870110, Time  0.237506
2021-09-11 14:53:20.712937 : Epoch  6, Batch    190, Loss  0.880473, Average Loss  0.870169, Time  0.238432
2021-09-11 14:53:23.306606 : Epoch  6, Batch    191, Loss  0.840152, Average Loss  0.869933, Time  0.237221
2021-09-11 14:53:25.885820 : Epoch  6, Batch    192, Loss  0.871185, Average Loss  0.870019, Time  0.237847
2021-09-11 14:53:28.643240 : Epoch  6, Batch    193, Loss  0.865214, Average Loss  0.870081, Time  0.237878
2021-09-11 14:53:31.342403 : Epoch  6, Batch    194, Loss  0.869480, Average Loss  0.870044, Time  0.237722
2021-09-11 14:53:33.939831 : Epoch  6, Batch    195, Loss  0.850893, Average Loss  0.870062, Time  0.241207
2021-09-11 14:53:36.552030 : Epoch  6, Batch    196, Loss  0.870476, Average Loss  0.870087, Time  0.249680
2021-09-11 14:53:39.931851 : Epoch  6, Batch    197, Loss  0.848670, Average Loss  0.869912, Time  0.493349
2021-09-11 14:53:45.636184 : Epoch  6, Batch    198, Loss  0.849088, Average Loss  0.869779, Time  0.245344
2021-09-11 14:53:48.229424 : Epoch  6, Batch    199, Loss  0.867500, Average Loss  0.869810, Time  0.239756
2021-09-11 14:53:50.813030 : Epoch  6, Batch    200, Loss  0.873214, Average Loss  0.869803, Time  0.237369
2021-09-11 14:53:53.405868 : Epoch  6, Batch    201, Loss  0.857155, Average Loss  0.869692, Time  0.237814
2021-09-11 14:53:56.158133 : Epoch  6, Batch    202, Loss  0.892248, Average Loss  0.869943, Time  0.239785
2021-09-11 14:53:58.748555 : Epoch  6, Batch    203, Loss  0.867313, Average Loss  0.869878, Time  0.237201
2021-09-11 14:54:01.340726 : Epoch  6, Batch    204, Loss  0.867598, Average Loss  0.869827, Time  0.238597
2021-09-11 14:54:03.926227 : Epoch  6, Batch    205, Loss  0.885695, Average Loss  0.869834, Time  0.238958
2021-09-11 14:54:06.659970 : Epoch  6, Batch    206, Loss  0.865649, Average Loss  0.869789, Time  0.240722
2021-09-11 14:54:09.275379 : Epoch  6, Batch    207, Loss  0.874529, Average Loss  0.869776, Time  0.250046
2021-09-11 14:54:14.063266 : Epoch  6, Batch    208, Loss  0.867004, Average Loss  0.869722, Time  0.356213
2021-09-11 14:54:19.016867 : Epoch  6, Batch    209, Loss  0.858636, Average Loss  0.869656, Time  0.341517
2021-09-11 14:54:28.560161 : Epoch  6, Batch    210, Loss  0.860104, Average Loss  0.869603, Time  0.558270
2021-09-11 14:54:34.729984 : Epoch  6, Batch    211, Loss  0.874699, Average Loss  0.869700, Time  0.237482
2021-09-11 14:54:42.088934 : Epoch  6, Batch    212, Loss  0.860661, Average Loss  0.869680, Time  0.344581
2021-09-11 14:54:46.357900 : Epoch  6, Batch    213, Loss  0.858966, Average Loss  0.869759, Time  0.361958
2021-09-11 14:54:52.474951 : Epoch  6, Batch    214, Loss  0.879369, Average Loss  0.869841, Time  0.248379
2021-09-11 14:55:01.168484 : Epoch  6, Batch    215, Loss  0.856337, Average Loss  0.869787, Time  0.325502
2021-09-11 14:55:09.496148 : Epoch  6, Batch    216, Loss  0.891387, Average Loss  0.869902, Time  0.637423
2021-09-11 14:55:18.845880 : Epoch  6, Batch    217, Loss  0.882423, Average Loss  0.870087, Time  0.497429
2021-09-11 14:55:25.741127 : Epoch  6, Batch    218, Loss  0.873305, Average Loss  0.870150, Time  0.498291
2021-09-11 14:55:32.099495 : Epoch  6, Batch    219, Loss  0.871618, Average Loss  0.870130, Time  0.330028
2021-09-11 14:55:38.799515 : Epoch  6, Batch    220, Loss  0.853499, Average Loss  0.870011, Time  0.243528
2021-09-11 14:56:02.116021 : CheckPoint: Validation Loss  0.00059001, Best Loss  0.00057296
2021-09-11 14:56:03.738884 : Epoch  5, Batch   3657, Loss  0.873964, Average Loss  0.868949, Time  0.177793
2021-09-11 14:56:05.377735 : Epoch  5, Batch   3658, Loss  0.860466, Average Loss  0.868817, Time  0.173759
2021-09-11 14:56:06.978881 : Epoch  5, Batch   3659, Loss  0.864995, Average Loss  0.868866, Time  0.173575
2021-09-11 14:56:08.585769 : Epoch  5, Batch   3660, Loss  0.869782, Average Loss  0.868871, Time  0.169918
2021-09-11 14:56:10.204789 : Epoch  5, Batch   3661, Loss  0.877311, Average Loss  0.868958, Time  0.169667
2021-09-11 14:56:11.815986 : Epoch  5, Batch   3662, Loss  0.879663, Average Loss  0.868993, Time  0.169800
2021-09-11 14:56:13.431772 : Epoch  5, Batch   3663, Loss  0.844805, Average Loss  0.868905, Time  0.169809
2021-09-11 14:56:15.036999 : Epoch  5, Batch   3664, Loss  0.857429, Average Loss  0.868934, Time  0.169766
2021-09-11 14:56:16.654982 : Epoch  5, Batch   3665, Loss  0.894582, Average Loss  0.868918, Time  0.169944
2021-09-11 14:56:18.267005 : Epoch  5, Batch   3666, Loss  0.877982, Average Loss  0.868903, Time  0.169584
2021-09-11 14:56:19.879998 : Epoch  5, Batch   3667, Loss  0.840670, Average Loss  0.868702, Time  0.169770
2021-09-11 14:56:21.498984 : Epoch  5, Batch   3668, Loss  0.886004, Average Loss  0.868807, Time  0.169919
2021-09-11 14:56:23.128980 : Epoch  5, Batch   3669, Loss  0.893189, Average Loss  0.868942, Time  0.171846
2021-09-11 14:56:24.748990 : Epoch  5, Batch   3670, Loss  0.863525, Average Loss  0.868738, Time  0.170110
2021-09-11 14:56:26.369032 : Epoch  5, Batch   3671, Loss  0.838119, Average Loss  0.868517, Time  0.169742
2021-09-11 14:56:27.987036 : Epoch  5, Batch   3672, Loss  0.869036, Average Loss  0.868627, Time  0.169853
2021-09-11 14:56:29.604747 : Epoch  5, Batch   3673, Loss  0.872459, Average Loss  0.868725, Time  0.170045
2021-09-11 14:56:31.215762 : Epoch  5, Batch   3674, Loss  0.896126, Average Loss  0.868796, Time  0.169931
2021-09-11 14:56:32.861073 : Epoch  5, Batch   3675, Loss  0.849592, Average Loss  0.868600, Time  0.172377
2021-09-11 14:56:34.482852 : Epoch  5, Batch   3676, Loss  0.860583, Average Loss  0.868526, Time  0.169936
2021-09-11 14:56:36.094823 : Epoch  5, Batch   3677, Loss  0.898547, Average Loss  0.868624, Time  0.169980
2021-09-11 14:56:37.703076 : Epoch  5, Batch   3678, Loss  0.884070, Average Loss  0.868846, Time  0.170368
2021-09-11 14:56:39.340829 : Epoch  5, Batch   3679, Loss  0.865113, Average Loss  0.868826, Time  0.170143
2021-09-11 14:56:40.956045 : Epoch  5, Batch   3680, Loss  0.857688, Average Loss  0.868697, Time  0.169845
2021-09-11 14:56:42.569773 : Epoch  5, Batch   3681, Loss  0.820157, Average Loss  0.868413, Time  0.169806
2021-09-11 14:56:44.166742 : Epoch  5, Batch   3682, Loss  0.855641, Average Loss  0.868298, Time  0.170248
2021-09-11 14:56:45.774854 : Epoch  5, Batch   3683, Loss  0.868585, Average Loss  0.868353, Time  0.169997
2021-09-11 14:56:47.368066 : Epoch  5, Batch   3684, Loss  0.870145, Average Loss  0.868330, Time  0.170113
2021-09-11 14:56:48.959020 : Epoch  5, Batch   3685, Loss  0.872070, Average Loss  0.868290, Time  0.169887
2021-09-11 14:56:50.553029 : Epoch  5, Batch   3686, Loss  0.854972, Average Loss  0.868439, Time  0.169926
2021-09-11 14:56:52.142783 : Epoch  5, Batch   3687, Loss  0.905456, Average Loss  0.868604, Time  0.169954
2021-09-11 14:56:53.732021 : Epoch  5, Batch   3688, Loss  0.859126, Average Loss  0.868543, Time  0.169965
2021-09-11 14:56:55.326948 : Epoch  5, Batch   3689, Loss  0.851155, Average Loss  0.868347, Time  0.170016
2021-09-11 14:56:56.956956 : Epoch  5, Batch   3690, Loss  0.874326, Average Loss  0.868419, Time  0.169926
2021-09-11 14:56:58.579024 : Epoch  5, Batch   3691, Loss  0.855202, Average Loss  0.868487, Time  0.169838
2021-09-11 14:57:00.167757 : Epoch  5, Batch   3692, Loss  0.862788, Average Loss  0.868584, Time  0.170428
2021-09-11 14:57:01.773214 : Epoch  5, Batch   3693, Loss  0.848047, Average Loss  0.868406, Time  0.170486
2021-09-11 14:57:03.392843 : Epoch  5, Batch   3694, Loss  0.880809, Average Loss  0.868531, Time  0.170648
2021-09-11 14:57:04.991177 : Epoch  5, Batch   3695, Loss  0.864217, Average Loss  0.868419, Time  0.170578
2021-09-11 14:57:06.593785 : Epoch  5, Batch   3696, Loss  0.883994, Average Loss  0.868486, Time  0.172143
2021-09-11 14:57:08.213055 : Epoch  5, Batch   3697, Loss  0.863161, Average Loss  0.868451, Time  0.170195
2021-09-11 14:57:09.833092 : Epoch  5, Batch   3698, Loss  0.878936, Average Loss  0.868468, Time  0.181234
2021-09-11 14:57:11.468083 : Epoch  5, Batch   3699, Loss  0.834130, Average Loss  0.868348, Time  0.170209
2021-09-11 14:57:13.085845 : Epoch  5, Batch   3700, Loss  0.859696, Average Loss  0.868271, Time  0.176689
2021-09-11 14:57:14.720791 : Epoch  5, Batch   3701, Loss  0.891449, Average Loss  0.868305, Time  0.174674
2021-09-11 14:57:16.340043 : Epoch  5, Batch   3702, Loss  0.833940, Average Loss  0.868132, Time  0.172298
2021-09-11 14:57:17.960048 : Epoch  5, Batch   3703, Loss  0.905308, Average Loss  0.868376, Time  0.172109
2021-09-11 14:57:19.571833 : Epoch  5, Batch   3704, Loss  0.887417, Average Loss  0.868392, Time  0.170194
2021-09-11 14:57:21.173750 : Epoch  5, Batch   3705, Loss  0.887993, Average Loss  0.868390, Time  0.170116
2021-09-11 14:57:22.801771 : Epoch  5, Batch   3706, Loss  0.859660, Average Loss  0.868367, Time  0.174515
2021-09-11 14:57:24.395847 : Epoch  5, Batch   3707, Loss  0.888852, Average Loss  0.868466, Time  0.170270
2021-09-11 14:57:26.004803 : Epoch  5, Batch   3708, Loss  0.876592, Average Loss  0.868493, Time  0.169847
2021-09-11 14:57:27.612039 : Epoch  5, Batch   3709, Loss  0.871917, Average Loss  0.868493, Time  0.171947
2021-09-11 14:57:29.227029 : Epoch  5, Batch   3710, Loss  0.881147, Average Loss  0.868638, Time  0.169911
2021-09-11 14:57:30.843783 : Epoch  5, Batch   3711, Loss  0.898939, Average Loss  0.868766, Time  0.170363
2021-09-11 14:57:30.887891 : Saving Model after 5-th Epoch.
2021-09-11 14:57:31.930955 : Epoch Finished.
2021-09-11 14:57:37.449974 : Batch Shuffled
2021-09-11 14:57:39.086864 : Epoch  6, Batch      1, Loss  0.882148, Average Loss  0.868707, Time  0.178699
2021-09-11 14:57:40.697846 : Epoch  6, Batch      2, Loss  0.852524, Average Loss  0.868570, Time  0.170561
2021-09-11 14:57:42.308759 : Epoch  6, Batch      3, Loss  0.835536, Average Loss  0.868405, Time  0.170220
2021-09-11 14:57:43.908998 : Epoch  6, Batch      4, Loss  0.843445, Average Loss  0.868239, Time  0.169490
2021-09-11 14:57:45.497799 : Epoch  6, Batch      5, Loss  0.860454, Average Loss  0.868262, Time  0.170020
2021-09-11 14:57:47.090766 : Epoch  6, Batch      6, Loss  0.881535, Average Loss  0.868390, Time  0.170892
2021-09-11 14:57:48.714752 : Epoch  6, Batch      7, Loss  0.888086, Average Loss  0.868563, Time  0.170355
2021-09-11 14:57:50.333000 : Epoch  6, Batch      8, Loss  0.890656, Average Loss  0.868763, Time  0.172088
2021-09-11 14:57:51.941985 : Epoch  6, Batch      9, Loss  0.890303, Average Loss  0.868846, Time  0.169962
2021-09-11 14:57:53.544000 : Epoch  6, Batch     10, Loss  0.860988, Average Loss  0.868729, Time  0.169529
2021-09-11 14:57:55.164726 : Epoch  6, Batch     11, Loss  0.854429, Average Loss  0.868751, Time  0.169539
2021-09-11 14:57:56.762607 : Epoch  6, Batch     12, Loss  0.847656, Average Loss  0.868637, Time  0.172047
2021-09-11 14:57:58.381759 : Epoch  6, Batch     13, Loss  0.858373, Average Loss  0.868622, Time  0.173109
2021-09-11 14:57:59.992762 : Epoch  6, Batch     14, Loss  0.893619, Average Loss  0.868761, Time  0.170193
2021-09-11 14:58:01.591746 : Epoch  6, Batch     15, Loss  0.877969, Average Loss  0.868845, Time  0.171535
2021-09-11 14:58:03.197899 : Epoch  6, Batch     16, Loss  0.886019, Average Loss  0.868915, Time  0.183096
2021-09-11 14:58:04.867751 : Epoch  6, Batch     17, Loss  0.854559, Average Loss  0.868876, Time  0.175044
2021-09-11 14:58:06.509025 : Epoch  6, Batch     18, Loss  0.884054, Average Loss  0.868972, Time  0.179072
2021-09-11 14:58:08.126775 : Epoch  6, Batch     19, Loss  0.864767, Average Loss  0.868872, Time  0.174922
2021-09-11 14:58:09.740776 : Epoch  6, Batch     20, Loss  0.898856, Average Loss  0.868948, Time  0.173404
2021-09-11 14:58:11.368613 : Epoch  6, Batch     21, Loss  0.858705, Average Loss  0.868864, Time  0.181403
2021-09-11 14:58:12.977018 : Epoch  6, Batch     22, Loss  0.853582, Average Loss  0.868598, Time  0.174041
2021-09-11 14:58:14.570780 : Epoch  6, Batch     23, Loss  0.874062, Average Loss  0.868563, Time  0.171878
2021-09-11 14:58:16.170033 : Epoch  6, Batch     24, Loss  0.865139, Average Loss  0.868486, Time  0.173024
2021-09-11 14:58:17.773788 : Epoch  6, Batch     25, Loss  0.856989, Average Loss  0.868549, Time  0.172795
2021-09-11 14:58:19.390034 : Epoch  6, Batch     26, Loss  0.876985, Average Loss  0.868582, Time  0.174745
2021-09-11 14:58:20.987744 : Epoch  6, Batch     27, Loss  0.869517, Average Loss  0.868500, Time  0.171895
2021-09-11 14:58:22.576490 : Epoch  6, Batch     28, Loss  0.848569, Average Loss  0.868328, Time  0.169768
2021-09-11 14:58:24.155765 : Epoch  6, Batch     29, Loss  0.852586, Average Loss  0.868229, Time  0.170385
2021-09-11 14:58:25.762014 : Epoch  6, Batch     30, Loss  0.860895, Average Loss  0.868193, Time  0.169459
2021-09-11 14:58:27.352458 : Epoch  6, Batch     31, Loss  0.853652, Average Loss  0.868153, Time  0.170010
2021-09-11 14:58:28.942737 : Epoch  6, Batch     32, Loss  0.867627, Average Loss  0.868054, Time  0.171213
2021-09-11 14:58:30.537762 : Epoch  6, Batch     33, Loss  0.867426, Average Loss  0.867968, Time  0.169960
2021-09-11 14:58:32.131794 : Epoch  6, Batch     34, Loss  0.886101, Average Loss  0.868030, Time  0.173842
2021-09-11 14:58:33.746730 : Epoch  6, Batch     35, Loss  0.846425, Average Loss  0.867903, Time  0.171856
2021-09-11 14:58:35.332803 : Epoch  6, Batch     36, Loss  0.881111, Average Loss  0.867912, Time  0.171033
2021-09-11 14:58:36.916025 : Epoch  6, Batch     37, Loss  0.853912, Average Loss  0.867875, Time  0.174490
2021-09-11 14:58:38.507022 : Epoch  6, Batch     38, Loss  0.846150, Average Loss  0.867797, Time  0.171113
2021-09-11 14:58:40.116937 : Epoch  6, Batch     39, Loss  0.883506, Average Loss  0.867971, Time  0.172414
2021-09-11 14:58:41.725764 : Epoch  6, Batch     40, Loss  0.855296, Average Loss  0.867736, Time  0.169725
2021-09-11 14:58:43.294107 : Epoch  6, Batch     41, Loss  0.878151, Average Loss  0.867925, Time  0.170315
2021-09-11 14:58:44.898800 : Epoch  6, Batch     42, Loss  0.879431, Average Loss  0.867926, Time  0.170654
2021-09-11 14:58:46.488039 : Epoch  6, Batch     43, Loss  0.868429, Average Loss  0.867787, Time  0.171080
2021-09-11 14:58:48.106850 : Epoch  6, Batch     44, Loss  0.880199, Average Loss  0.867934, Time  0.175125
2021-09-11 14:58:49.700282 : Epoch  6, Batch     45, Loss  0.888874, Average Loss  0.867965, Time  0.170097
2021-09-11 15:03:30.952059 : CheckPoint: Validation Loss  0.00059874, Best Loss  0.00057296
2021-09-11 15:03:32.555400 : Epoch  6, Batch     46, Loss  0.860683, Average Loss  0.867947, Time  0.177127
2021-09-11 15:03:34.145745 : Epoch  6, Batch     47, Loss  0.880112, Average Loss  0.867993, Time  0.174780
2021-09-11 15:03:35.736802 : Epoch  6, Batch     48, Loss  0.877671, Average Loss  0.868106, Time  0.169888
2021-09-11 15:03:37.333025 : Epoch  6, Batch     49, Loss  0.876703, Average Loss  0.868304, Time  0.173090
2021-09-11 15:03:38.958855 : Epoch  6, Batch     50, Loss  0.875996, Average Loss  0.868311, Time  0.177494
2021-09-11 15:03:40.549052 : Epoch  6, Batch     51, Loss  0.864043, Average Loss  0.868162, Time  0.172173
2021-09-11 15:03:42.133863 : Epoch  6, Batch     52, Loss  0.900968, Average Loss  0.868291, Time  0.171238
2021-09-11 15:03:43.712834 : Epoch  6, Batch     53, Loss  0.856500, Average Loss  0.868341, Time  0.169887
2021-09-11 15:03:45.285027 : Epoch  6, Batch     54, Loss  0.885516, Average Loss  0.868606, Time  0.172765
2021-09-11 15:03:46.866778 : Epoch  6, Batch     55, Loss  0.883440, Average Loss  0.868614, Time  0.170967
2021-09-11 15:03:48.447656 : Epoch  6, Batch     56, Loss  0.860229, Average Loss  0.868533, Time  0.170104
2021-09-11 15:03:50.050033 : Epoch  6, Batch     57, Loss  0.853596, Average Loss  0.868561, Time  0.173234
2021-09-11 15:03:51.652894 : Epoch  6, Batch     58, Loss  0.861034, Average Loss  0.868455, Time  0.172087
2021-09-11 15:03:53.246044 : Epoch  6, Batch     59, Loss  0.856773, Average Loss  0.868334, Time  0.173018
2021-09-11 15:03:54.857031 : Epoch  6, Batch     60, Loss  0.889317, Average Loss  0.868314, Time  0.170366
2021-09-11 15:03:56.444741 : Epoch  6, Batch     61, Loss  0.885051, Average Loss  0.868386, Time  0.173879
2021-09-11 15:03:58.037787 : Epoch  6, Batch     62, Loss  0.860973, Average Loss  0.868453, Time  0.171268
2021-09-11 15:03:59.614030 : Epoch  6, Batch     63, Loss  0.902559, Average Loss  0.868629, Time  0.169710
2021-09-11 15:04:01.199030 : Epoch  6, Batch     64, Loss  0.883495, Average Loss  0.868808, Time  0.171681
2021-09-11 15:04:02.807051 : Epoch  6, Batch     65, Loss  0.883054, Average Loss  0.868867, Time  0.170453
2021-09-11 15:04:04.411815 : Epoch  6, Batch     66, Loss  0.896149, Average Loss  0.869171, Time  0.183153
2021-09-11 15:04:06.015128 : Epoch  6, Batch     67, Loss  0.880750, Average Loss  0.869291, Time  0.170314
2021-09-11 15:04:07.616916 : Epoch  6, Batch     68, Loss  0.868366, Average Loss  0.869146, Time  0.170575
2021-09-11 15:04:09.222808 : Epoch  6, Batch     69, Loss  0.862963, Average Loss  0.868964, Time  0.175174
2021-09-11 15:04:10.829947 : Epoch  6, Batch     70, Loss  0.884199, Average Loss  0.869141, Time  0.172219
2021-09-11 15:04:12.459826 : Epoch  6, Batch     71, Loss  0.871863, Average Loss  0.869091, Time  0.176826
2021-09-11 15:04:14.090807 : Epoch  6, Batch     72, Loss  0.872282, Average Loss  0.869040, Time  0.170364
2021-09-11 15:04:15.702751 : Epoch  6, Batch     73, Loss  0.887346, Average Loss  0.869057, Time  0.172426
2021-09-11 15:04:17.313860 : Epoch  6, Batch     74, Loss  0.890723, Average Loss  0.869213, Time  0.176066
2021-09-11 15:04:18.902766 : Epoch  6, Batch     75, Loss  0.896820, Average Loss  0.869370, Time  0.170486
2021-09-11 15:04:20.519038 : Epoch  6, Batch     76, Loss  0.899275, Average Loss  0.869438, Time  0.175569
2021-09-11 15:04:22.132828 : Epoch  6, Batch     77, Loss  0.846685, Average Loss  0.869542, Time  0.173309
2021-09-11 15:04:23.746034 : Epoch  6, Batch     78, Loss  0.884159, Average Loss  0.869685, Time  0.173140
2021-09-11 15:04:25.324796 : Epoch  6, Batch     79, Loss  0.898067, Average Loss  0.869893, Time  0.177737
2021-09-11 15:04:26.917772 : Epoch  6, Batch     80, Loss  0.837014, Average Loss  0.869762, Time  0.177928
2021-09-11 15:04:28.524872 : Epoch  6, Batch     81, Loss  0.846279, Average Loss  0.869645, Time  0.173294
2021-09-11 15:04:30.156750 : Epoch  6, Batch     82, Loss  0.848096, Average Loss  0.869537, Time  0.176842
2021-09-11 15:04:31.787256 : Epoch  6, Batch     83, Loss  0.868244, Average Loss  0.869607, Time  0.173726
2021-09-11 15:04:33.377819 : Epoch  6, Batch     84, Loss  0.851247, Average Loss  0.869612, Time  0.174059
2021-09-11 15:04:34.973818 : Epoch  6, Batch     85, Loss  0.875512, Average Loss  0.869526, Time  0.170486
2021-09-11 15:04:36.553815 : Epoch  6, Batch     86, Loss  0.865174, Average Loss  0.869552, Time  0.170431
2021-09-11 15:04:38.154759 : Epoch  6, Batch     87, Loss  0.872951, Average Loss  0.869436, Time  0.169888
2021-09-11 15:04:39.741737 : Epoch  6, Batch     88, Loss  0.874233, Average Loss  0.869280, Time  0.169807
2021-09-11 15:04:41.330820 : Epoch  6, Batch     89, Loss  0.855663, Average Loss  0.869327, Time  0.173465
2021-09-11 15:04:42.926846 : Epoch  6, Batch     90, Loss  0.842794, Average Loss  0.869288, Time  0.173085
2021-09-11 15:04:44.525792 : Epoch  6, Batch     91, Loss  0.863541, Average Loss  0.869300, Time  0.171868
2021-09-11 15:04:45.194771 : CheckPoint: Validation Loss  0.00030263, Best Loss  0.00029019
2021-09-11 15:04:46.126768 : Epoch  6, Batch     92, Loss  0.864877, Average Loss  0.869449, Time  0.176429
2021-09-11 15:04:47.720831 : Epoch  6, Batch     93, Loss  0.887413, Average Loss  0.869501, Time  0.173994
2021-09-11 15:04:49.317787 : Epoch  6, Batch     94, Loss  0.867623, Average Loss  0.869435, Time  0.169831
2021-09-11 15:04:50.854212 : Epoch  6, Batch    221, Loss  0.882102, Average Loss  0.870087, Time  0.374247
2021-09-11 15:04:50.916778 : Epoch  6, Batch     95, Loss  0.867536, Average Loss  0.869336, Time  0.172775
2021-09-11 15:04:52.542795 : Epoch  6, Batch     96, Loss  0.825786, Average Loss  0.869009, Time  0.173633
2021-09-11 15:04:54.147781 : Epoch  6, Batch     97, Loss  0.848988, Average Loss  0.869044, Time  0.171868
2021-09-11 15:04:55.768746 : Epoch  6, Batch     98, Loss  0.886379, Average Loss  0.869225, Time  0.171465
2021-09-11 15:04:57.383754 : Epoch  6, Batch     99, Loss  0.852172, Average Loss  0.869077, Time  0.169960
2021-09-11 15:04:57.404396 : Epoch  6, Batch    222, Loss  0.877161, Average Loss  0.870125, Time  0.368416
2021-09-11 15:04:58.994735 : Epoch  6, Batch    100, Loss  0.853593, Average Loss  0.868883, Time  0.173089
2021-09-11 15:05:00.592032 : Epoch  6, Batch    101, Loss  0.871599, Average Loss  0.869026, Time  0.171144
2021-09-11 15:05:02.235802 : Epoch  6, Batch    102, Loss  0.853211, Average Loss  0.868980, Time  0.174198
2021-09-11 15:05:03.830030 : Epoch  6, Batch    103, Loss  0.888644, Average Loss  0.869130, Time  0.170981
2021-09-11 15:05:05.138319 : Epoch  6, Batch    223, Loss  0.871182, Average Loss  0.870037, Time  0.271931
2021-09-11 15:05:05.436809 : Epoch  6, Batch    104, Loss  0.881050, Average Loss  0.869135, Time  0.170092
2021-09-11 15:05:07.051761 : Epoch  6, Batch    105, Loss  0.857606, Average Loss  0.869033, Time  0.175960
2021-09-11 15:05:08.670788 : Epoch  6, Batch    106, Loss  0.883163, Average Loss  0.869033, Time  0.182687
2021-09-11 15:05:10.257026 : Epoch  6, Batch    107, Loss  0.865106, Average Loss  0.869065, Time  0.169372
2021-09-11 15:05:10.280239 : Epoch  6, Batch    224, Loss  0.864094, Average Loss  0.869923, Time  0.306097
2021-09-11 15:05:11.889865 : Epoch  6, Batch    108, Loss  0.860329, Average Loss  0.869038, Time  0.180620
2021-09-11 15:05:13.490797 : Epoch  6, Batch    109, Loss  0.908609, Average Loss  0.869224, Time  0.169834
2021-09-11 15:05:15.098769 : Epoch  6, Batch    110, Loss  0.873644, Average Loss  0.869175, Time  0.171065
2021-09-11 15:05:16.718032 : Epoch  6, Batch    111, Loss  0.879882, Average Loss  0.869243, Time  0.179255
2021-09-11 15:05:18.351803 : Epoch  6, Batch    112, Loss  0.891581, Average Loss  0.869262, Time  0.173602
2021-09-11 15:05:19.446056 : Epoch  6, Batch    225, Loss  0.835338, Average Loss  0.869813, Time  0.398656
2021-09-11 15:05:20.005033 : Epoch  6, Batch    113, Loss  0.883406, Average Loss  0.869402, Time  0.174207
2021-09-11 15:05:21.606240 : Epoch  6, Batch    114, Loss  0.896574, Average Loss  0.869636, Time  0.169944
2021-09-11 15:05:23.194765 : Epoch  6, Batch    115, Loss  0.867144, Average Loss  0.869566, Time  0.170773
2021-09-11 15:05:24.246829 : Epoch  6, Batch    226, Loss  0.862135, Average Loss  0.869811, Time  0.315979
2021-09-11 15:05:24.820031 : Epoch  6, Batch    116, Loss  0.888181, Average Loss  0.869638, Time  0.177292
2021-09-11 15:05:26.442866 : Epoch  6, Batch    117, Loss  0.871637, Average Loss  0.869666, Time  0.170941
2021-09-11 15:05:28.043757 : Epoch  6, Batch    118, Loss  0.852320, Average Loss  0.869535, Time  0.170565
2021-09-11 15:05:29.658062 : Epoch  6, Batch    119, Loss  0.841670, Average Loss  0.869293, Time  0.184073
2021-09-11 15:05:30.510238 : Epoch  6, Batch    227, Loss  0.853208, Average Loss  0.869738, Time  0.387631
2021-09-11 15:05:31.251039 : Epoch  6, Batch    120, Loss  0.881917, Average Loss  0.869314, Time  0.169646
2021-09-11 15:05:32.888027 : Epoch  6, Batch    121, Loss  0.857158, Average Loss  0.869192, Time  0.179466
2021-09-11 15:05:34.506791 : Epoch  6, Batch    122, Loss  0.833041, Average Loss  0.869004, Time  0.171866
2021-09-11 15:05:36.119815 : Epoch  6, Batch    123, Loss  0.878466, Average Loss  0.869075, Time  0.173996
2021-09-11 15:05:37.735742 : Epoch  6, Batch    124, Loss  0.884628, Average Loss  0.869167, Time  0.175974
2021-09-11 15:05:38.030102 : Epoch  6, Batch    228, Loss  0.857617, Average Loss  0.869674, Time  0.287591
2021-09-11 15:05:39.338752 : Epoch  6, Batch    125, Loss  0.886499, Average Loss  0.869291, Time  0.169946
2021-09-11 15:05:40.950772 : Epoch  6, Batch    126, Loss  0.866105, Average Loss  0.869441, Time  0.171639
2021-09-11 15:05:42.538790 : Epoch  6, Batch    127, Loss  0.888452, Average Loss  0.869557, Time  0.172944
2021-09-11 15:05:43.054420 : Epoch  6, Batch    229, Loss  0.886526, Average Loss  0.869797, Time  0.279060
2021-09-11 15:05:44.127942 : Epoch  6, Batch    128, Loss  0.838203, Average Loss  0.869440, Time  0.173235
2021-09-11 15:05:45.724830 : Epoch  6, Batch    129, Loss  0.843621, Average Loss  0.869217, Time  0.169571
2021-09-11 15:05:47.323805 : Epoch  6, Batch    130, Loss  0.861816, Average Loss  0.869380, Time  0.170232
2021-09-11 15:05:48.591928 : Epoch  6, Batch    230, Loss  0.867823, Average Loss  0.869803, Time  0.585118
2021-09-11 15:05:48.937848 : Epoch  6, Batch    131, Loss  0.909349, Average Loss  0.869515, Time  0.169729
2021-09-11 15:05:50.511791 : Epoch  6, Batch    132, Loss  0.854528, Average Loss  0.869577, Time  0.169653
2021-09-11 15:05:52.142742 : Epoch  6, Batch    133, Loss  0.845387, Average Loss  0.869436, Time  0.178132
2021-09-11 15:05:53.733755 : Epoch  6, Batch    134, Loss  0.870131, Average Loss  0.869528, Time  0.170420
2021-09-11 15:05:55.311033 : Epoch  6, Batch    135, Loss  0.877990, Average Loss  0.869735, Time  0.175866
2021-09-11 15:05:56.896744 : Epoch  6, Batch    136, Loss  0.902083, Average Loss  0.869930, Time  0.170646
2021-09-11 15:05:57.798671 : Epoch  6, Batch    231, Loss  0.847615, Average Loss  0.869728, Time  0.509781
2021-09-11 15:05:58.514735 : Epoch  6, Batch    137, Loss  0.857526, Average Loss  0.869793, Time  0.175136
2021-09-11 15:06:00.120773 : Epoch  6, Batch    138, Loss  0.875356, Average Loss  0.869801, Time  0.169963
2021-09-11 15:06:01.745842 : Epoch  6, Batch    139, Loss  0.848316, Average Loss  0.869754, Time  0.176384
2021-09-11 15:06:03.355737 : Epoch  6, Batch    140, Loss  0.904056, Average Loss  0.869820, Time  0.174936
2021-09-11 15:06:03.518444 : Epoch  6, Batch    232, Loss  0.875645, Average Loss  0.869852, Time  0.297491
2021-09-11 15:06:04.960740 : Epoch  6, Batch    141, Loss  0.875885, Average Loss  0.869825, Time  0.169793
2021-09-11 15:06:06.575770 : Epoch  6, Batch    142, Loss  0.867910, Average Loss  0.869938, Time  0.173697
2021-09-11 15:06:08.185737 : Epoch  6, Batch    143, Loss  0.836134, Average Loss  0.869852, Time  0.169905
2021-09-11 15:06:08.697443 : Epoch  6, Batch    233, Loss  0.882452, Average Loss  0.869904, Time  0.364540
2021-09-11 15:06:09.804765 : Epoch  6, Batch    144, Loss  0.868083, Average Loss  0.869846, Time  0.177148
2021-09-11 15:06:11.422738 : Epoch  6, Batch    145, Loss  0.859012, Average Loss  0.869801, Time  0.186913
2021-09-11 15:06:12.410115 : Epoch  6, Batch    234, Loss  0.864391, Average Loss  0.869833, Time  0.298114
2021-09-11 15:06:16.660246 : Epoch  6, Batch    235, Loss  0.866235, Average Loss  0.869741, Time  0.294485
2021-09-11 15:06:21.407926 : Epoch  6, Batch    236, Loss  0.856583, Average Loss  0.869667, Time  0.272445
2021-09-11 15:06:27.931858 : Epoch  6, Batch    237, Loss  0.882151, Average Loss  0.869755, Time  0.419161
2021-09-11 15:06:34.569465 : Epoch  6, Batch    238, Loss  0.882449, Average Loss  0.869807, Time  0.353270
2021-09-11 15:06:39.401916 : Epoch  6, Batch    239, Loss  0.863096, Average Loss  0.869805, Time  0.237646
2021-09-11 15:06:44.406987 : Epoch  6, Batch    240, Loss  0.889487, Average Loss  0.869996, Time  0.262364
2021-09-11 15:06:47.888148 : Epoch  6, Batch    241, Loss  0.871726, Average Loss  0.869991, Time  0.237896
2021-09-11 15:06:52.520993 : Epoch  6, Batch    242, Loss  0.852110, Average Loss  0.869822, Time  0.237562
2021-09-11 15:06:55.935913 : Epoch  6, Batch    243, Loss  0.876276, Average Loss  0.869864, Time  0.237795
2021-09-11 15:07:01.759016 : Epoch  6, Batch    244, Loss  0.867327, Average Loss  0.869842, Time  0.294705
2021-09-11 15:07:07.527567 : Epoch  6, Batch    245, Loss  0.855776, Average Loss  0.869759, Time  0.382774
2021-09-11 15:07:17.403875 : Epoch  6, Batch    246, Loss  0.886767, Average Loss  0.869751, Time  0.409596
2021-09-11 15:07:27.997050 : Epoch  6, Batch    247, Loss  0.858222, Average Loss  0.869640, Time  0.480806
2021-09-11 15:07:32.275470 : Epoch  6, Batch    248, Loss  0.860602, Average Loss  0.869560, Time  0.330321
2021-09-11 15:07:39.037034 : Epoch  6, Batch    249, Loss  0.873611, Average Loss  0.869536, Time  0.321386
2021-09-11 15:07:45.598016 : Epoch  6, Batch    250, Loss  0.844091, Average Loss  0.869423, Time  0.519083
2021-09-11 15:07:52.101897 : Epoch  6, Batch    251, Loss  0.876370, Average Loss  0.869497, Time  0.284794
2021-09-11 15:07:57.685853 : Epoch  6, Batch    252, Loss  0.874030, Average Loss  0.869466, Time  0.350021
2021-09-11 15:08:02.691187 : Epoch  6, Batch    253, Loss  0.871109, Average Loss  0.869394, Time  0.328671
2021-09-11 15:08:10.047470 : Epoch  6, Batch    254, Loss  0.853565, Average Loss  0.869298, Time  0.319799
2021-09-11 15:08:16.136627 : Epoch  6, Batch    255, Loss  0.867611, Average Loss  0.869298, Time  0.267954
2021-09-11 15:08:23.056903 : Epoch  6, Batch    256, Loss  0.847253, Average Loss  0.869195, Time  0.355447
2021-09-11 15:08:32.088086 : Epoch  6, Batch    257, Loss  0.860638, Average Loss  0.869218, Time  0.323096
2021-09-11 15:08:38.220246 : Epoch  6, Batch    258, Loss  0.878766, Average Loss  0.869176, Time  0.363345
2021-09-11 15:08:43.895856 : Epoch  6, Batch    259, Loss  0.881331, Average Loss  0.869234, Time  0.294853
2021-09-11 15:08:50.626999 : Epoch  6, Batch    260, Loss  0.879261, Average Loss  0.869331, Time  0.347557
2021-09-11 15:08:56.401381 : Epoch  6, Batch    261, Loss  0.875605, Average Loss  0.869373, Time  0.293405
2021-09-11 15:09:02.203444 : Epoch  6, Batch    262, Loss  0.876502, Average Loss  0.869378, Time  0.437985
2021-09-11 15:09:08.176391 : Epoch  6, Batch    263, Loss  0.867326, Average Loss  0.869292, Time  0.258980
2021-09-11 15:09:11.414845 : Epoch  6, Batch    264, Loss  0.863937, Average Loss  0.869279, Time  0.363141
2021-09-11 15:09:19.042410 : Epoch  6, Batch    265, Loss  0.849701, Average Loss  0.869231, Time  0.520592
2021-09-11 15:09:24.593230 : Epoch  6, Batch    266, Loss  0.868167, Average Loss  0.869297, Time  0.421824
2021-09-11 15:09:27.431202 : Epoch  6, Batch    267, Loss  0.857677, Average Loss  0.869308, Time  0.314960
2021-09-11 15:09:32.958648 : Epoch  6, Batch    268, Loss  0.877202, Average Loss  0.869431, Time  0.266115
2021-09-11 15:09:38.966040 : Epoch  6, Batch    269, Loss  0.853891, Average Loss  0.869368, Time  0.294631
2021-09-11 15:09:43.995414 : Epoch  6, Batch    270, Loss  0.884390, Average Loss  0.869389, Time  0.477588
2021-09-11 15:09:51.198489 : Epoch  6, Batch    271, Loss  0.856461, Average Loss  0.869220, Time  0.370568
2021-09-11 15:09:58.393829 : Epoch  6, Batch    272, Loss  0.846708, Average Loss  0.869047, Time  0.440897
2021-09-11 15:10:06.084079 : Epoch  6, Batch    273, Loss  0.870086, Average Loss  0.869048, Time  0.322618
2021-09-11 15:10:14.076420 : Epoch  6, Batch    274, Loss  0.857943, Average Loss  0.868953, Time  0.354022
2021-09-11 15:10:22.325991 : Epoch  6, Batch    275, Loss  0.869944, Average Loss  0.869042, Time  0.394851
2021-09-11 15:10:25.933422 : Epoch  6, Batch    276, Loss  0.877340, Average Loss  0.869164, Time  0.310441
2021-09-11 15:10:33.206915 : Epoch  6, Batch    277, Loss  0.862797, Average Loss  0.869126, Time  0.340132
2021-09-11 15:10:38.697383 : Epoch  6, Batch    278, Loss  0.889958, Average Loss  0.869305, Time  0.484581
2021-09-11 15:10:45.639072 : Epoch  6, Batch    279, Loss  0.870924, Average Loss  0.869394, Time  0.426940
2021-09-11 15:10:50.360141 : Epoch  6, Batch    280, Loss  0.852836, Average Loss  0.869181, Time  0.417482
2021-09-11 15:10:51.971724 : CheckPoint: Validation Loss  0.00059728, Best Loss  0.00057296
2021-09-11 15:10:53.568925 : Epoch  6, Batch    146, Loss  0.875416, Average Loss  0.869809, Time  0.177413
2021-09-11 15:10:55.183733 : Epoch  6, Batch    147, Loss  0.873005, Average Loss  0.869871, Time  0.170459
2021-09-11 15:10:56.031250 : Epoch  6, Batch    281, Loss  0.863440, Average Loss  0.869015, Time  0.419696
2021-09-11 15:10:56.772013 : Epoch  6, Batch    148, Loss  0.900599, Average Loss  0.870049, Time  0.171194
2021-09-11 15:10:58.349285 : Epoch  6, Batch    149, Loss  0.874905, Average Loss  0.870075, Time  0.176137
2021-09-11 15:10:58.922961 : Epoch  6, Batch    282, Loss  0.868653, Average Loss  0.868960, Time  0.242276
2021-09-11 15:10:59.967799 : Epoch  6, Batch    150, Loss  0.857699, Average Loss  0.869977, Time  0.175352
2021-09-11 15:11:01.580770 : Epoch  6, Batch    151, Loss  0.901139, Average Loss  0.870084, Time  0.174959
2021-09-11 15:11:03.185026 : Epoch  6, Batch    152, Loss  0.876106, Average Loss  0.870241, Time  0.170224
2021-09-11 15:11:03.235537 : Epoch  6, Batch    283, Loss  0.878611, Average Loss  0.869106, Time  0.318978
2021-09-11 15:11:04.796030 : Epoch  6, Batch    153, Loss  0.866929, Average Loss  0.870288, Time  0.181062
2021-09-11 15:11:06.383141 : Epoch  6, Batch    154, Loss  0.868708, Average Loss  0.870159, Time  0.170344
2021-09-11 15:11:08.001744 : Epoch  6, Batch    155, Loss  0.860539, Average Loss  0.870072, Time  0.175562
2021-09-11 15:11:08.394150 : Epoch  6, Batch    284, Loss  0.864540, Average Loss  0.869178, Time  0.258766
2021-09-11 15:11:09.606024 : Epoch  6, Batch    156, Loss  0.877325, Average Loss  0.870255, Time  0.171790
2021-09-11 15:11:11.218036 : Epoch  6, Batch    157, Loss  0.849381, Average Loss  0.870072, Time  0.170082
2021-09-11 15:11:11.946032 : Epoch  6, Batch    285, Loss  0.881676, Average Loss  0.869352, Time  0.289469
2021-09-11 15:11:12.841835 : Epoch  6, Batch    158, Loss  0.869040, Average Loss  0.869951, Time  0.174430
2021-09-11 15:11:14.440849 : Epoch  6, Batch    159, Loss  0.831657, Average Loss  0.869792, Time  0.170903
2021-09-11 15:11:16.080807 : Epoch  6, Batch    160, Loss  0.861910, Average Loss  0.869911, Time  0.176934
2021-09-11 15:11:17.687023 : Epoch  6, Batch    161, Loss  0.861752, Average Loss  0.869874, Time  0.170170
2021-09-11 15:11:18.128110 : Epoch  6, Batch    286, Loss  0.868522, Average Loss  0.869233, Time  0.304457
2021-09-11 15:11:19.286034 : Epoch  6, Batch    162, Loss  0.853205, Average Loss  0.869778, Time  0.171333
2021-09-11 15:11:20.879022 : Epoch  6, Batch    163, Loss  0.866943, Average Loss  0.869632, Time  0.169842
2021-09-11 15:11:22.483786 : Epoch  6, Batch    164, Loss  0.868031, Average Loss  0.869724, Time  0.173341
2021-09-11 15:11:22.976414 : Epoch  6, Batch    287, Loss  0.883654, Average Loss  0.869261, Time  0.429166
2021-09-11 15:11:24.094059 : Epoch  6, Batch    165, Loss  0.871266, Average Loss  0.869778, Time  0.169973
2021-09-11 15:11:25.676756 : Epoch  6, Batch    166, Loss  0.877383, Average Loss  0.869672, Time  0.169944
2021-09-11 15:11:27.254855 : Epoch  6, Batch    167, Loss  0.863948, Average Loss  0.869571, Time  0.170203
2021-09-11 15:11:28.866747 : Epoch  6, Batch    168, Loss  0.855962, Average Loss  0.869526, Time  0.172962
2021-09-11 15:11:29.526891 : Epoch  6, Batch    288, Loss  0.878026, Average Loss  0.869366, Time  0.340462
2021-09-11 15:11:30.451866 : Epoch  6, Batch    169, Loss  0.879137, Average Loss  0.869633, Time  0.170689
2021-09-11 15:11:32.061020 : Epoch  6, Batch    170, Loss  0.867318, Average Loss  0.869869, Time  0.172152
2021-09-11 15:11:33.645818 : Epoch  6, Batch    171, Loss  0.828310, Average Loss  0.869732, Time  0.171980
2021-09-11 15:11:35.236371 : Epoch  6, Batch    172, Loss  0.885432, Average Loss  0.869816, Time  0.169897
2021-09-11 15:11:35.593878 : Epoch  6, Batch    289, Loss  0.882368, Average Loss  0.869454, Time  0.269723
2021-09-11 15:11:36.805083 : Epoch  6, Batch    173, Loss  0.871889, Average Loss  0.869825, Time  0.175937
2021-09-11 15:11:38.427830 : Epoch  6, Batch    174, Loss  0.886589, Average Loss  0.869898, Time  0.169612
2021-09-11 15:11:40.036749 : Epoch  6, Batch    175, Loss  0.817021, Average Loss  0.869708, Time  0.170108
2021-09-11 15:11:40.345072 : Epoch  6, Batch    290, Loss  0.853157, Average Loss  0.869366, Time  0.286958
2021-09-11 15:11:41.648026 : Epoch  6, Batch    176, Loss  0.849695, Average Loss  0.869429, Time  0.174614
2021-09-11 15:11:43.244783 : Epoch  6, Batch    177, Loss  0.887820, Average Loss  0.869573, Time  0.173229
2021-09-11 15:11:44.850763 : Epoch  6, Batch    178, Loss  0.855879, Average Loss  0.869596, Time  0.180695
2021-09-11 15:11:45.262785 : Epoch  6, Batch    291, Loss  0.879081, Average Loss  0.869383, Time  0.279243
2021-09-11 15:11:46.462220 : Epoch  6, Batch    179, Loss  0.895676, Average Loss  0.869703, Time  0.174014
2021-09-11 15:11:48.061771 : Epoch  6, Batch    180, Loss  0.882972, Average Loss  0.869842, Time  0.169880
2021-09-11 15:11:49.669774 : Epoch  6, Batch    181, Loss  0.833770, Average Loss  0.869697, Time  0.172858
2021-09-11 15:11:51.285748 : Epoch  6, Batch    182, Loss  0.855937, Average Loss  0.869736, Time  0.177302
2021-09-11 15:11:52.917997 : Epoch  6, Batch    183, Loss  0.886999, Average Loss  0.869767, Time  0.179700
2021-09-11 15:11:53.695821 : Epoch  6, Batch    292, Loss  0.873292, Average Loss  0.869420, Time  0.367217
2021-09-11 15:11:54.502031 : Epoch  6, Batch    184, Loss  0.847760, Average Loss  0.869685, Time  0.170730
2021-09-11 15:11:56.102791 : Epoch  6, Batch    185, Loss  0.848526, Average Loss  0.869507, Time  0.184181
2021-09-11 15:11:57.771936 : Epoch  6, Batch    186, Loss  0.855954, Average Loss  0.869471, Time  0.176691
2021-09-11 15:11:59.374832 : Epoch  6, Batch    187, Loss  0.873239, Average Loss  0.869443, Time  0.170047
2021-09-11 15:12:00.872407 : Epoch  6, Batch    293, Loss  0.869435, Average Loss  0.869368, Time  0.440182
2021-09-11 15:12:00.977872 : Epoch  6, Batch    188, Loss  0.856102, Average Loss  0.869553, Time  0.169653
2021-09-11 15:12:02.557802 : Epoch  6, Batch    189, Loss  0.843396, Average Loss  0.869471, Time  0.170129
2021-09-11 15:12:04.150037 : Epoch  6, Batch    190, Loss  0.869437, Average Loss  0.869361, Time  0.170641
2021-09-11 15:12:05.757768 : Epoch  6, Batch    191, Loss  0.865435, Average Loss  0.869519, Time  0.175678
2021-09-11 15:12:07.037961 : Epoch  6, Batch    294, Loss  0.850801, Average Loss  0.869274, Time  0.260195
2021-09-11 15:12:07.360741 : Epoch  6, Batch    192, Loss  0.864031, Average Loss  0.869312, Time  0.171414
2021-09-11 15:12:08.947031 : Epoch  6, Batch    193, Loss  0.866225, Average Loss  0.869206, Time  0.171319
2021-09-11 15:12:10.568750 : Epoch  6, Batch    194, Loss  0.877034, Average Loss  0.869152, Time  0.173447
2021-09-11 15:12:12.193851 : Epoch  6, Batch    195, Loss  0.882280, Average Loss  0.869265, Time  0.169994
2021-09-11 15:12:13.799749 : Epoch  6, Batch    196, Loss  0.903367, Average Loss  0.869337, Time  0.173756
2021-09-11 15:12:15.090436 : Epoch  6, Batch    295, Loss  0.864586, Average Loss  0.869179, Time  0.409119
2021-09-11 15:12:15.410892 : Epoch  6, Batch    197, Loss  0.851001, Average Loss  0.869209, Time  0.170360
2021-09-11 15:12:17.000888 : Epoch  6, Batch    198, Loss  0.866276, Average Loss  0.869181, Time  0.174191
2021-09-11 15:12:18.602766 : Epoch  6, Batch    199, Loss  0.867267, Average Loss  0.869112, Time  0.170352
2021-09-11 15:12:20.191021 : Epoch  6, Batch    200, Loss  0.851571, Average Loss  0.868875, Time  0.172476
2021-09-11 15:12:21.804740 : Epoch  6, Batch    201, Loss  0.906240, Average Loss  0.868995, Time  0.172932
2021-09-11 15:12:23.397828 : Epoch  6, Batch    202, Loss  0.852691, Average Loss  0.868996, Time  0.177101
2021-09-11 15:12:25.004034 : Epoch  6, Batch    203, Loss  0.845817, Average Loss  0.869048, Time  0.170354
2021-09-11 15:12:26.629750 : Epoch  6, Batch    204, Loss  0.847879, Average Loss  0.869070, Time  0.169576
2021-09-11 15:12:27.519598 : Epoch  6, Batch    297, Loss  0.847294, Average Loss  0.869096, Time  0.354097
2021-09-11 15:12:28.228767 : Epoch  6, Batch    205, Loss  0.843220, Average Loss  0.868984, Time  0.173023
2021-09-11 15:12:29.819016 : Epoch  6, Batch    206, Loss  0.855004, Average Loss  0.868851, Time  0.172246
2021-09-11 15:12:31.438783 : Epoch  6, Batch    207, Loss  0.868712, Average Loss  0.868754, Time  0.170083
2021-09-11 15:12:33.055733 : Epoch  6, Batch    208, Loss  0.857274, Average Loss  0.868587, Time  0.170021
2021-09-11 15:12:33.204040 : Epoch  6, Batch    298, Loss  0.859982, Average Loss  0.869062, Time  0.372548
2021-09-11 15:12:34.699802 : Epoch  6, Batch    209, Loss  0.819081, Average Loss  0.868231, Time  0.175876
2021-09-11 15:12:36.297741 : Epoch  6, Batch    210, Loss  0.842297, Average Loss  0.868138, Time  0.171533
2021-09-11 15:12:37.881764 : Epoch  6, Batch    211, Loss  0.885981, Average Loss  0.868295, Time  0.171232
2021-09-11 15:12:39.489783 : Epoch  6, Batch    212, Loss  0.871870, Average Loss  0.868416, Time  0.170424
2021-09-11 15:12:39.989350 : Epoch  6, Batch    299, Loss  0.868898, Average Loss  0.869027, Time  0.344377
2021-09-11 15:12:41.108812 : Epoch  6, Batch    213, Loss  0.884554, Average Loss  0.868547, Time  0.174936
2021-09-11 15:12:42.705753 : Epoch  6, Batch    214, Loss  0.865219, Average Loss  0.868405, Time  0.172692
2021-09-11 15:12:44.289845 : Epoch  6, Batch    215, Loss  0.880065, Average Loss  0.868416, Time  0.172499
2021-09-11 15:12:45.887744 : Epoch  6, Batch    216, Loss  0.864315, Average Loss  0.868307, Time  0.170432
2021-09-11 15:12:47.496737 : Epoch  6, Batch    217, Loss  0.848562, Average Loss  0.868277, Time  0.173391
2021-09-11 15:12:49.100810 : Epoch  6, Batch    218, Loss  0.854801, Average Loss  0.868131, Time  0.173088
2021-09-11 15:12:50.704830 : Epoch  6, Batch    219, Loss  0.862057, Average Loss  0.868117, Time  0.169967
2021-09-11 15:12:52.296809 : Epoch  6, Batch    220, Loss  0.872134, Average Loss  0.867984, Time  0.170124
2021-09-11 15:12:53.196833 : Epoch  6, Batch    301, Loss  0.881114, Average Loss  0.869112, Time  0.392212
2021-09-11 15:12:53.916035 : Epoch  6, Batch    221, Loss  0.877708, Average Loss  0.868079, Time  0.171011
2021-09-11 15:12:55.518030 : Epoch  6, Batch    222, Loss  0.905147, Average Loss  0.868337, Time  0.176258
2021-09-11 15:12:57.118033 : Epoch  6, Batch    223, Loss  0.881544, Average Loss  0.868374, Time  0.169643
2021-09-11 15:12:58.716034 : Epoch  6, Batch    224, Loss  0.838776, Average Loss  0.868242, Time  0.169856
2021-09-11 15:12:59.142885 : Epoch  6, Batch    302, Loss  0.876645, Average Loss  0.869200, Time  0.295599
2021-09-11 15:13:00.349056 : Epoch  6, Batch    225, Loss  0.836994, Average Loss  0.868142, Time  0.186341
2021-09-11 15:13:01.934746 : Epoch  6, Batch    226, Loss  0.895354, Average Loss  0.868234, Time  0.178837
2021-09-11 15:13:03.538030 : Epoch  6, Batch    227, Loss  0.866478, Average Loss  0.868219, Time  0.175430
2021-09-11 15:13:05.123614 : Epoch  6, Batch    228, Loss  0.868192, Average Loss  0.868317, Time  0.169926
2021-09-11 15:13:05.242006 : Epoch  6, Batch    303, Loss  0.861529, Average Loss  0.869240, Time  0.283825
2021-09-11 15:13:06.726866 : Epoch  6, Batch    229, Loss  0.853237, Average Loss  0.868320, Time  0.169992
2021-09-11 15:13:08.322758 : Epoch  6, Batch    230, Loss  0.873233, Average Loss  0.868382, Time  0.170017
2021-09-11 15:13:09.937031 : Epoch  6, Batch    231, Loss  0.873785, Average Loss  0.868483, Time  0.176114
2021-09-11 15:13:11.556034 : Epoch  6, Batch    232, Loss  0.875307, Average Loss  0.868521, Time  0.179439
2021-09-11 15:13:13.199031 : Epoch  6, Batch    233, Loss  0.895690, Average Loss  0.868662, Time  0.180645
2021-09-11 15:13:13.285934 : Epoch  6, Batch    304, Loss  0.884223, Average Loss  0.869354, Time  0.301917
2021-09-11 15:13:14.806743 : Epoch  6, Batch    234, Loss  0.874839, Average Loss  0.868606, Time  0.174708
2021-09-11 15:13:16.396753 : Epoch  6, Batch    235, Loss  0.863430, Average Loss  0.868691, Time  0.169724
2021-09-11 15:13:18.000926 : Epoch  6, Batch    236, Loss  0.862758, Average Loss  0.868599, Time  0.174918
2021-09-11 15:13:18.412147 : Epoch  6, Batch    305, Loss  0.858887, Average Loss  0.869268, Time  0.363944
2021-09-11 15:13:19.582202 : Epoch  6, Batch    237, Loss  0.901829, Average Loss  0.868839, Time  0.175242
2021-09-11 15:13:21.177818 : Epoch  6, Batch    238, Loss  0.872004, Average Loss  0.868968, Time  0.173741
2021-09-11 15:13:22.815796 : Epoch  6, Batch    239, Loss  0.867755, Average Loss  0.868889, Time  0.180246
2021-09-11 15:13:24.424769 : Epoch  6, Batch    240, Loss  0.848296, Average Loss  0.868854, Time  0.174866
2021-09-11 15:13:25.125085 : Epoch  6, Batch    306, Loss  0.869902, Average Loss  0.869242, Time  0.250194
2021-09-11 15:13:26.035839 : Epoch  6, Batch    241, Loss  0.880255, Average Loss  0.868865, Time  0.173704
2021-09-11 15:13:27.629797 : Epoch  6, Batch    242, Loss  0.879085, Average Loss  0.868863, Time  0.172739
2021-09-11 15:13:29.234815 : Epoch  6, Batch    243, Loss  0.852337, Average Loss  0.868783, Time  0.172211
2021-09-11 15:13:30.870789 : Epoch  6, Batch    244, Loss  0.844071, Average Loss  0.868602, Time  0.174098
2021-09-11 15:13:32.344219 : Epoch  6, Batch    307, Loss  0.872798, Average Loss  0.869259, Time  0.340449
2021-09-11 15:13:32.488831 : Epoch  6, Batch    245, Loss  0.872314, Average Loss  0.868519, Time  0.179406
2021-09-11 15:13:43.099655 : Epoch  6, Batch    308, Loss  0.873309, Average Loss  0.869215, Time  0.353718
2021-09-11 15:13:49.980965 : Epoch  6, Batch    309, Loss  0.871139, Average Loss  0.869235, Time  0.387757
2021-09-11 15:13:55.800024 : Epoch  6, Batch    310, Loss  0.864709, Average Loss  0.869275, Time  0.497409
2021-09-11 15:14:02.256617 : Epoch  6, Batch    311, Loss  0.853602, Average Loss  0.869152, Time  0.294304
2021-09-11 15:14:05.531037 : Epoch  6, Batch    312, Loss  0.888937, Average Loss  0.869211, Time  0.277927
2021-09-11 15:14:08.604887 : Epoch  6, Batch    313, Loss  0.873502, Average Loss  0.869269, Time  0.277371
2021-09-11 15:14:17.725833 : Epoch  6, Batch    314, Loss  0.873937, Average Loss  0.869373, Time  0.439408
2021-09-11 15:14:21.683987 : Epoch  6, Batch    315, Loss  0.855360, Average Loss  0.869309, Time  0.304309
2021-09-11 15:14:30.877429 : Epoch  6, Batch    316, Loss  0.877146, Average Loss  0.869275, Time  0.374759
2021-09-11 15:14:37.532994 : Epoch  6, Batch    317, Loss  0.849047, Average Loss  0.869090, Time  0.375592
2021-09-11 15:14:43.602017 : Epoch  6, Batch    318, Loss  0.876013, Average Loss  0.869185, Time  0.440556
2021-09-11 15:14:46.224301 : Epoch  6, Batch    319, Loss  0.880306, Average Loss  0.869165, Time  0.237174
2021-09-11 15:14:50.741147 : Epoch  6, Batch    320, Loss  0.871112, Average Loss  0.869208, Time  0.273115
2021-09-11 15:18:12.369713 : CheckPoint: Validation Loss  0.00059704, Best Loss  0.00057296
2021-09-11 15:18:13.972826 : Epoch  6, Batch    246, Loss  0.903314, Average Loss  0.868732, Time  0.176058
2021-09-11 15:18:15.586735 : Epoch  6, Batch    247, Loss  0.903473, Average Loss  0.868849, Time  0.175152
2021-09-11 15:18:17.192848 : Epoch  6, Batch    248, Loss  0.864860, Average Loss  0.868785, Time  0.175658
2021-09-11 15:18:18.804008 : Epoch  6, Batch    249, Loss  0.865274, Average Loss  0.868728, Time  0.176109
2021-09-11 15:18:20.399028 : Epoch  6, Batch    250, Loss  0.880712, Average Loss  0.868752, Time  0.170501
2021-09-11 15:18:21.992841 : Epoch  6, Batch    251, Loss  0.871511, Average Loss  0.868789, Time  0.178734
2021-09-11 15:18:23.586005 : Epoch  6, Batch    252, Loss  0.868668, Average Loss  0.868627, Time  0.172401
2021-09-11 15:18:25.182033 : Epoch  6, Batch    253, Loss  0.871516, Average Loss  0.868703, Time  0.170971
2021-09-11 15:18:26.757931 : Epoch  6, Batch    254, Loss  0.865030, Average Loss  0.868600, Time  0.170155
2021-09-11 15:18:28.380033 : Epoch  6, Batch    255, Loss  0.865207, Average Loss  0.868509, Time  0.173942
2021-09-11 15:18:29.969656 : Epoch  6, Batch    256, Loss  0.885990, Average Loss  0.868638, Time  0.171441
2021-09-11 15:18:31.560037 : Epoch  6, Batch    257, Loss  0.885264, Average Loss  0.868796, Time  0.169798
2021-09-11 15:18:33.148023 : Epoch  6, Batch    258, Loss  0.887282, Average Loss  0.868927, Time  0.169666
2021-09-11 15:18:34.751030 : Epoch  6, Batch    259, Loss  0.847318, Average Loss  0.868880, Time  0.170029
2021-09-11 15:18:36.380040 : Epoch  6, Batch    260, Loss  0.856767, Average Loss  0.868717, Time  0.177330
2021-09-11 15:18:37.980038 : Epoch  6, Batch    261, Loss  0.859786, Average Loss  0.868591, Time  0.169742
2021-09-11 15:18:39.587037 : Epoch  6, Batch    262, Loss  0.877765, Average Loss  0.868675, Time  0.178582
2021-09-11 15:18:41.207037 : Epoch  6, Batch    263, Loss  0.844020, Average Loss  0.868382, Time  0.179665
2021-09-11 15:18:42.822036 : Epoch  6, Batch    264, Loss  0.857794, Average Loss  0.868254, Time  0.177587
2021-09-11 15:18:44.401767 : Epoch  6, Batch    265, Loss  0.871170, Average Loss  0.868194, Time  0.171946
2021-09-11 15:18:46.003916 : Epoch  6, Batch    266, Loss  0.859294, Average Loss  0.868010, Time  0.169550
2021-09-11 15:18:47.605036 : Epoch  6, Batch    267, Loss  0.856026, Average Loss  0.867886, Time  0.173036
2021-09-11 15:18:49.202071 : Epoch  6, Batch    268, Loss  0.890069, Average Loss  0.867995, Time  0.173191
2021-09-11 15:18:50.792746 : Epoch  6, Batch    269, Loss  0.843440, Average Loss  0.867897, Time  0.171464
2021-09-11 15:18:52.386025 : Epoch  6, Batch    270, Loss  0.896251, Average Loss  0.867958, Time  0.170334
2021-09-11 15:18:53.976732 : Epoch  6, Batch    271, Loss  0.886360, Average Loss  0.868030, Time  0.172115
2021-09-11 15:18:55.578026 : Epoch  6, Batch    272, Loss  0.888069, Average Loss  0.868109, Time  0.170616
2021-09-11 15:18:57.158976 : Epoch  6, Batch    273, Loss  0.873556, Average Loss  0.868040, Time  0.171327
2021-09-11 15:18:58.763028 : Epoch  6, Batch    274, Loss  0.877672, Average Loss  0.867975, Time  0.170379
2021-09-11 15:19:00.353744 : Epoch  6, Batch    275, Loss  0.914035, Average Loss  0.868061, Time  0.170552
2021-09-11 15:19:01.991828 : Epoch  6, Batch    276, Loss  0.853596, Average Loss  0.867832, Time  0.172211
2021-09-11 15:19:03.595793 : Epoch  6, Batch    277, Loss  0.881195, Average Loss  0.868005, Time  0.169790
2021-09-11 15:19:05.183741 : Epoch  6, Batch    278, Loss  0.900296, Average Loss  0.868086, Time  0.170302
2021-09-11 15:19:06.804808 : Epoch  6, Batch    279, Loss  0.840857, Average Loss  0.867800, Time  0.176662
2021-09-11 15:19:08.399049 : Epoch  6, Batch    280, Loss  0.850369, Average Loss  0.867866, Time  0.170159
2021-09-11 15:19:10.005048 : Epoch  6, Batch    281, Loss  0.871570, Average Loss  0.867993, Time  0.176073
2021-09-11 15:19:11.606785 : Epoch  6, Batch    282, Loss  0.902631, Average Loss  0.868266, Time  0.170092
2021-09-11 15:19:13.184805 : Epoch  6, Batch    283, Loss  0.872349, Average Loss  0.868286, Time  0.169920
2021-09-11 15:19:14.754734 : Epoch  6, Batch    284, Loss  0.876455, Average Loss  0.868412, Time  0.169954
2021-09-11 15:19:16.368037 : Epoch  6, Batch    285, Loss  0.869657, Average Loss  0.868383, Time  0.172871
2021-09-11 15:19:17.955793 : Epoch  6, Batch    286, Loss  0.837151, Average Loss  0.868243, Time  0.169926
2021-09-11 15:19:19.542024 : Epoch  6, Batch    287, Loss  0.889093, Average Loss  0.868323, Time  0.171298
2021-09-11 15:19:21.127151 : Epoch  6, Batch    288, Loss  0.865620, Average Loss  0.868280, Time  0.169835
2021-09-11 15:19:22.739034 : Epoch  6, Batch    289, Loss  0.868068, Average Loss  0.868342, Time  0.170108
2021-09-11 15:19:24.340561 : Epoch  6, Batch    290, Loss  0.889585, Average Loss  0.868576, Time  0.171570
2021-09-11 15:19:25.931783 : Epoch  6, Batch    291, Loss  0.897352, Average Loss  0.868745, Time  0.169813
2021-09-11 15:19:27.524771 : Epoch  6, Batch    292, Loss  0.883780, Average Loss  0.868840, Time  0.173316
2021-09-11 15:19:29.141781 : Epoch  6, Batch    293, Loss  0.857032, Average Loss  0.868688, Time  0.174117
2021-09-11 15:19:30.756771 : Epoch  6, Batch    294, Loss  0.857741, Average Loss  0.868639, Time  0.177545
2021-09-11 15:19:32.367734 : Epoch  6, Batch    295, Loss  0.865455, Average Loss  0.868628, Time  0.170239
2021-09-11 15:19:33.953784 : Epoch  6, Batch    296, Loss  0.873421, Average Loss  0.868866, Time  0.174793
2021-09-11 15:19:35.579854 : Epoch  6, Batch    297, Loss  0.849956, Average Loss  0.868871, Time  0.174429
2021-09-11 15:19:37.182037 : Epoch  6, Batch    298, Loss  0.886714, Average Loss  0.868873, Time  0.180745
2021-09-11 15:19:38.776026 : Epoch  6, Batch    299, Loss  0.854052, Average Loss  0.868882, Time  0.171560
2021-09-11 15:19:40.367913 : Epoch  6, Batch    300, Loss  0.872930, Average Loss  0.868979, Time  0.170014
2021-09-11 15:19:41.969847 : Epoch  6, Batch    301, Loss  0.868817, Average Loss  0.868965, Time  0.174120
2021-09-11 15:19:43.581032 : Epoch  6, Batch    302, Loss  0.895908, Average Loss  0.869179, Time  0.172396
2021-09-11 15:19:45.203777 : Epoch  6, Batch    303, Loss  0.856068, Average Loss  0.869016, Time  0.172066
2021-09-11 15:19:46.811746 : Epoch  6, Batch    304, Loss  0.850761, Average Loss  0.868864, Time  0.170066
2021-09-11 15:19:48.440001 : Epoch  6, Batch    305, Loss  0.878190, Average Loss  0.868967, Time  0.169635
2021-09-11 15:19:50.051837 : Epoch  6, Batch    306, Loss  0.871898, Average Loss  0.868911, Time  0.169816
2021-09-11 15:19:51.643031 : Epoch  6, Batch    307, Loss  0.870023, Average Loss  0.868935, Time  0.173811
2021-09-11 15:19:53.232835 : Epoch  6, Batch    308, Loss  0.865243, Average Loss  0.868960, Time  0.170636
2021-09-11 15:19:54.838026 : Epoch  6, Batch    309, Loss  0.890509, Average Loss  0.868870, Time  0.180574
2021-09-11 15:19:56.435772 : Epoch  6, Batch    310, Loss  0.874777, Average Loss  0.868875, Time  0.171099
2021-09-11 15:19:58.048060 : Epoch  6, Batch    311, Loss  0.898278, Average Loss  0.868967, Time  0.169739
2021-09-11 15:19:59.660516 : Epoch  6, Batch    312, Loss  0.858620, Average Loss  0.868802, Time  0.174180
2021-09-11 15:20:01.234742 : Epoch  6, Batch    313, Loss  0.836267, Average Loss  0.868567, Time  0.174982
2021-09-11 15:20:02.841915 : Epoch  6, Batch    314, Loss  0.884458, Average Loss  0.868506, Time  0.171066
2021-09-11 15:20:04.431121 : Epoch  6, Batch    315, Loss  0.874140, Average Loss  0.868541, Time  0.177492
2021-09-11 15:20:06.018758 : Epoch  6, Batch    316, Loss  0.825899, Average Loss  0.868230, Time  0.171074
2021-09-11 15:20:07.619029 : Epoch  6, Batch    317, Loss  0.845254, Average Loss  0.868098, Time  0.171084
2021-09-11 15:20:09.210026 : Epoch  6, Batch    318, Loss  0.874272, Average Loss  0.868208, Time  0.172445
2021-09-11 15:20:10.789318 : Epoch  6, Batch    319, Loss  0.863285, Average Loss  0.868316, Time  0.169881
2021-09-11 15:20:12.365034 : Epoch  6, Batch    320, Loss  0.886496, Average Loss  0.868338, Time  0.169594
2021-09-11 15:20:13.981299 : Epoch  6, Batch    321, Loss  0.846250, Average Loss  0.868284, Time  0.169734
2021-09-11 15:20:15.564032 : Epoch  6, Batch    322, Loss  0.872056, Average Loss  0.868479, Time  0.170166
2021-09-11 15:20:17.154804 : Epoch  6, Batch    323, Loss  0.868552, Average Loss  0.868429, Time  0.172941
2021-09-11 15:20:18.756879 : Epoch  6, Batch    324, Loss  0.871217, Average Loss  0.868362, Time  0.172127
2021-09-11 15:20:20.345418 : Epoch  6, Batch    325, Loss  0.885034, Average Loss  0.868355, Time  0.170082
2021-09-11 15:20:21.942763 : Epoch  6, Batch    326, Loss  0.880963, Average Loss  0.868429, Time  0.170038
2021-09-11 15:20:23.547898 : Epoch  6, Batch    327, Loss  0.881927, Average Loss  0.868397, Time  0.171057
2021-09-11 15:20:25.150030 : Epoch  6, Batch    328, Loss  0.870172, Average Loss  0.868557, Time  0.174158
2021-09-11 15:20:26.744840 : Epoch  6, Batch    329, Loss  0.843299, Average Loss  0.868555, Time  0.170039
2021-09-11 15:20:28.327775 : Epoch  6, Batch    330, Loss  0.875482, Average Loss  0.868623, Time  0.172475
2021-09-11 15:20:29.911944 : Epoch  6, Batch    331, Loss  0.852554, Average Loss  0.868339, Time  0.177387
2021-09-11 15:20:31.523031 : Epoch  6, Batch    332, Loss  0.878338, Average Loss  0.868458, Time  0.169778
2021-09-11 15:20:33.117055 : Epoch  6, Batch    333, Loss  0.873915, Average Loss  0.868601, Time  0.176036
2021-09-11 15:20:34.715734 : Epoch  6, Batch    334, Loss  0.871565, Average Loss  0.868608, Time  0.171866
2021-09-11 15:20:36.331028 : Epoch  6, Batch    335, Loss  0.833043, Average Loss  0.868383, Time  0.174655
2021-09-11 15:20:37.939764 : Epoch  6, Batch    336, Loss  0.871056, Average Loss  0.868228, Time  0.178323
2021-09-11 15:20:39.534023 : Epoch  6, Batch    337, Loss  0.872422, Average Loss  0.868303, Time  0.169521
2021-09-11 15:20:41.143025 : Epoch  6, Batch    338, Loss  0.873895, Average Loss  0.868295, Time  0.179155
2021-09-11 15:20:42.737745 : Epoch  6, Batch    339, Loss  0.911407, Average Loss  0.868611, Time  0.171729
2021-09-11 15:20:44.342828 : Epoch  6, Batch    340, Loss  0.863820, Average Loss  0.868410, Time  0.170271
2021-09-11 15:20:45.941840 : Epoch  6, Batch    341, Loss  0.858539, Average Loss  0.868323, Time  0.174509
2021-09-11 15:20:47.530860 : Epoch  6, Batch    342, Loss  0.887783, Average Loss  0.868422, Time  0.171767
2021-09-11 15:20:49.152873 : Epoch  6, Batch    343, Loss  0.885059, Average Loss  0.868667, Time  0.170311
2021-09-11 15:20:50.768752 : Epoch  6, Batch    344, Loss  0.867576, Average Loss  0.868664, Time  0.172269
2021-09-11 15:20:52.372832 : Epoch  6, Batch    345, Loss  0.865676, Average Loss  0.868698, Time  0.170049
2021-09-11 15:24:06.011645 : CheckPoint: Validation Loss  0.00029960, Best Loss  0.00029019
2021-09-11 15:24:11.858236 : Epoch  6, Batch    321, Loss  0.868409, Average Loss  0.869179, Time  0.396671
2021-09-11 15:24:19.349018 : Epoch  6, Batch    322, Loss  0.863051, Average Loss  0.869113, Time  0.564977
2021-09-11 15:24:26.522152 : Epoch  6, Batch    323, Loss  0.862733, Average Loss  0.869192, Time  0.502962
2021-09-11 15:24:34.648042 : Epoch  6, Batch    324, Loss  0.865004, Average Loss  0.869282, Time  0.522048
2021-09-11 15:24:42.756895 : Epoch  6, Batch    325, Loss  0.858082, Average Loss  0.869183, Time  0.270701
2021-09-11 15:24:46.805205 : Epoch  6, Batch    326, Loss  0.830629, Average Loss  0.869028, Time  0.327487
2021-09-11 15:24:53.096130 : Epoch  6, Batch    327, Loss  0.871983, Average Loss  0.869058, Time  0.253094
2021-09-11 15:24:59.901937 : Epoch  6, Batch    328, Loss  0.859453, Average Loss  0.869038, Time  0.361298
2021-09-11 15:25:04.710213 : Epoch  6, Batch    329, Loss  0.848765, Average Loss  0.868850, Time  0.415051
2021-09-11 15:25:10.906434 : Epoch  6, Batch    330, Loss  0.865553, Average Loss  0.868794, Time  0.282285
2021-09-11 15:25:14.943859 : Epoch  6, Batch    331, Loss  0.851335, Average Loss  0.868719, Time  0.283772
2021-09-11 15:25:20.953928 : Epoch  6, Batch    332, Loss  0.879814, Average Loss  0.868922, Time  0.268641
2021-09-11 15:25:25.903050 : Epoch  6, Batch    333, Loss  0.883941, Average Loss  0.868951, Time  0.279606
2021-09-11 15:25:31.998735 : CheckPoint: Validation Loss  0.00060591, Best Loss  0.00057296
2021-09-11 15:25:33.029510 : Epoch  6, Batch    334, Loss  0.866049, Average Loss  0.869012, Time  0.333615
2021-09-11 15:25:33.576940 : Epoch  6, Batch    346, Loss  0.882294, Average Loss  0.868732, Time  0.179634
2021-09-11 15:25:35.190920 : Epoch  6, Batch    347, Loss  0.871257, Average Loss  0.868723, Time  0.171185
2021-09-11 15:25:36.783747 : Epoch  6, Batch    348, Loss  0.873229, Average Loss  0.868587, Time  0.170191
2021-09-11 15:25:38.385024 : Epoch  6, Batch    349, Loss  0.866163, Average Loss  0.868543, Time  0.172563
2021-09-11 15:25:39.975015 : Epoch  6, Batch    350, Loss  0.879908, Average Loss  0.868654, Time  0.176151
2021-09-11 15:25:40.297943 : Epoch  6, Batch    335, Loss  0.877103, Average Loss  0.869085, Time  0.353786
2021-09-11 15:25:41.575031 : Epoch  6, Batch    351, Loss  0.866804, Average Loss  0.868482, Time  0.172299
2021-09-11 15:25:43.182036 : Epoch  6, Batch    352, Loss  0.858526, Average Loss  0.868394, Time  0.170104
2021-09-11 15:25:44.797937 : Epoch  6, Batch    353, Loss  0.861821, Average Loss  0.868369, Time  0.178828
2021-09-11 15:25:46.251442 : Epoch  6, Batch    336, Loss  0.876318, Average Loss  0.869134, Time  0.362463
2021-09-11 15:25:46.394794 : Epoch  6, Batch    354, Loss  0.877834, Average Loss  0.868414, Time  0.170345
2021-09-11 15:25:47.989791 : Epoch  6, Batch    355, Loss  0.859985, Average Loss  0.868412, Time  0.175726
2021-09-11 15:25:49.584079 : Epoch  6, Batch    356, Loss  0.870094, Average Loss  0.868376, Time  0.177508
2021-09-11 15:25:50.591893 : Epoch  6, Batch    337, Loss  0.882011, Average Loss  0.869164, Time  0.237678
2021-09-11 15:25:51.195030 : Epoch  6, Batch    357, Loss  0.881386, Average Loss  0.868536, Time  0.173576
2021-09-11 15:25:52.803052 : Epoch  6, Batch    358, Loss  0.875968, Average Loss  0.868570, Time  0.170012
2021-09-11 15:25:54.399951 : Epoch  6, Batch    359, Loss  0.859209, Average Loss  0.868708, Time  0.172547
2021-09-11 15:25:56.008774 : Epoch  6, Batch    360, Loss  0.889811, Average Loss  0.868847, Time  0.173086
2021-09-11 15:25:57.592037 : Epoch  6, Batch    361, Loss  0.843588, Average Loss  0.868757, Time  0.170505
2021-09-11 15:25:57.780870 : Epoch  6, Batch    338, Loss  0.835951, Average Loss  0.868980, Time  0.427329
2021-09-11 15:25:59.205811 : Epoch  6, Batch    362, Loss  0.876918, Average Loss  0.868875, Time  0.170765
2021-09-11 15:26:00.795910 : Epoch  6, Batch    363, Loss  0.895777, Average Loss  0.869019, Time  0.170156
2021-09-11 15:26:02.397029 : Epoch  6, Batch    364, Loss  0.892337, Average Loss  0.869141, Time  0.181122
2021-09-11 15:26:03.827002 : Epoch  6, Batch    339, Loss  0.869316, Average Loss  0.868992, Time  0.323793
2021-09-11 15:26:03.997063 : Epoch  6, Batch    365, Loss  0.861844, Average Loss  0.869094, Time  0.170219
2021-09-11 15:26:05.609025 : Epoch  6, Batch    366, Loss  0.891180, Average Loss  0.869163, Time  0.181773
2021-09-11 15:26:07.198026 : Epoch  6, Batch    367, Loss  0.875765, Average Loss  0.869222, Time  0.177698
2021-09-11 15:26:08.790742 : Epoch  6, Batch    368, Loss  0.870047, Average Loss  0.869292, Time  0.170327
2021-09-11 15:26:09.942642 : Epoch  6, Batch    340, Loss  0.847016, Average Loss  0.868933, Time  0.240287
2021-09-11 15:26:10.394033 : Epoch  6, Batch    369, Loss  0.855570, Average Loss  0.869174, Time  0.175760
2021-09-11 15:26:12.006031 : Epoch  6, Batch    370, Loss  0.852725, Average Loss  0.869102, Time  0.169723
2021-09-11 15:26:13.629032 : Epoch  6, Batch    371, Loss  0.885807, Average Loss  0.869389, Time  0.171340
2021-09-11 15:26:15.208745 : Epoch  6, Batch    372, Loss  0.876392, Average Loss  0.869344, Time  0.170175
2021-09-11 15:26:16.791034 : Epoch  6, Batch    373, Loss  0.868528, Average Loss  0.869327, Time  0.169807
2021-09-11 15:26:18.006949 : Epoch  6, Batch    341, Loss  0.862599, Average Loss  0.868828, Time  0.298949
2021-09-11 15:26:18.383753 : Epoch  6, Batch    374, Loss  0.864383, Average Loss  0.869216, Time  0.170362
2021-09-11 15:26:19.980744 : Epoch  6, Batch    375, Loss  0.844573, Average Loss  0.869354, Time  0.170151
2021-09-11 15:26:21.587811 : Epoch  6, Batch    376, Loss  0.841848, Average Loss  0.869314, Time  0.170545
2021-09-11 15:26:22.301960 : Epoch  6, Batch    342, Loss  0.845488, Average Loss  0.868807, Time  0.342340
2021-09-11 15:26:23.191736 : Epoch  6, Batch    377, Loss  0.837387, Average Loss  0.869062, Time  0.171711
2021-09-11 15:26:24.787849 : Epoch  6, Batch    378, Loss  0.842226, Average Loss  0.868994, Time  0.170140
2021-09-11 15:26:26.369751 : Epoch  6, Batch    379, Loss  0.900251, Average Loss  0.869017, Time  0.172993
2021-09-11 15:26:27.442058 : Epoch  6, Batch    343, Loss  0.876355, Average Loss  0.868745, Time  0.307753
2021-09-11 15:26:27.965948 : Epoch  6, Batch    380, Loss  0.891900, Average Loss  0.869062, Time  0.169808
2021-09-11 15:26:29.606830 : Epoch  6, Batch    381, Loss  0.876782, Average Loss  0.869277, Time  0.176073
2021-09-11 15:26:31.217740 : Epoch  6, Batch    382, Loss  0.895920, Average Loss  0.869477, Time  0.173640
2021-09-11 15:26:32.832027 : Epoch  6, Batch    383, Loss  0.885883, Average Loss  0.869471, Time  0.178525
2021-09-11 15:26:34.409034 : Epoch  6, Batch    384, Loss  0.886061, Average Loss  0.869662, Time  0.170717
2021-09-11 15:26:35.984785 : Epoch  6, Batch    385, Loss  0.840354, Average Loss  0.869622, Time  0.171968
2021-09-11 15:26:36.509102 : Epoch  6, Batch    344, Loss  0.859119, Average Loss  0.868598, Time  0.277540
2021-09-11 15:26:37.567128 : Epoch  6, Batch    386, Loss  0.853332, Average Loss  0.869608, Time  0.173319
2021-09-11 15:26:39.178035 : Epoch  6, Batch    387, Loss  0.830152, Average Loss  0.869393, Time  0.180575
2021-09-11 15:26:40.770767 : Epoch  6, Batch    388, Loss  0.893911, Average Loss  0.869582, Time  0.170011
2021-09-11 15:26:42.392025 : Epoch  6, Batch    389, Loss  0.842215, Average Loss  0.869576, Time  0.173710
2021-09-11 15:26:42.527987 : Epoch  6, Batch    345, Loss  0.861915, Average Loss  0.868508, Time  0.449064
2021-09-11 15:26:43.996025 : Epoch  6, Batch    390, Loss  0.888344, Average Loss  0.869671, Time  0.173431
2021-09-11 15:26:45.588768 : Epoch  6, Batch    391, Loss  0.829009, Average Loss  0.869489, Time  0.180356
2021-09-11 15:26:47.176164 : Epoch  6, Batch    392, Loss  0.894257, Average Loss  0.869640, Time  0.173854
2021-09-11 15:26:48.685028 : Epoch  6, Batch    346, Loss  0.857295, Average Loss  0.868503, Time  0.259300
2021-09-11 15:26:48.761036 : Epoch  6, Batch    393, Loss  0.873798, Average Loss  0.869678, Time  0.169886
2021-09-11 15:26:50.358884 : Epoch  6, Batch    394, Loss  0.873811, Average Loss  0.869661, Time  0.173192
2021-09-11 15:26:51.954049 : Epoch  6, Batch    395, Loss  0.851846, Average Loss  0.869509, Time  0.171996
2021-09-11 15:26:53.682736 : Epoch  6, Batch    396, Loss  0.858702, Average Loss  0.869286, Time  0.249054
2021-09-11 15:26:55.225147 : Epoch  6, Batch    347, Loss  0.865839, Average Loss  0.868374, Time  0.337337
2021-09-11 15:26:55.307356 : Epoch  6, Batch    397, Loss  0.911370, Average Loss  0.869588, Time  0.170400
2021-09-11 15:26:56.884739 : Epoch  6, Batch    398, Loss  0.879552, Average Loss  0.869654, Time  0.170357
2021-09-11 15:26:58.480031 : Epoch  6, Batch    399, Loss  0.881551, Average Loss  0.869726, Time  0.169971
2021-09-11 15:27:00.126977 : Epoch  6, Batch    400, Loss  0.852977, Average Loss  0.869733, Time  0.171344
2021-09-11 15:27:01.709024 : Epoch  6, Batch    401, Loss  0.860722, Average Loss  0.869505, Time  0.169792
2021-09-11 15:27:01.724935 : Epoch  6, Batch    348, Loss  0.863679, Average Loss  0.868353, Time  0.317397
2021-09-11 15:27:03.290733 : Epoch  6, Batch    402, Loss  0.859367, Average Loss  0.869538, Time  0.170110
2021-09-11 15:27:04.894040 : Epoch  6, Batch    403, Loss  0.842299, Average Loss  0.869521, Time  0.169905
2021-09-11 15:27:06.492759 : Epoch  6, Batch    404, Loss  0.905207, Average Loss  0.869808, Time  0.174379
2021-09-11 15:27:07.091856 : Epoch  6, Batch    349, Loss  0.856884, Average Loss  0.868247, Time  0.251975
2021-09-11 15:27:08.088036 : Epoch  6, Batch    405, Loss  0.847366, Average Loss  0.869828, Time  0.172000
2021-09-11 15:27:09.713741 : Epoch  6, Batch    406, Loss  0.889795, Average Loss  0.870002, Time  0.174221
2021-09-11 15:27:11.313777 : Epoch  6, Batch    407, Loss  0.867840, Average Loss  0.869998, Time  0.171712
2021-09-11 15:27:12.919799 : Epoch  6, Batch    408, Loss  0.855735, Average Loss  0.869990, Time  0.170051
2021-09-11 15:27:14.519753 : Epoch  6, Batch    409, Loss  0.870008, Average Loss  0.870245, Time  0.170184
2021-09-11 15:27:15.156881 : Epoch  6, Batch    350, Loss  0.876468, Average Loss  0.868163, Time  0.441318
2021-09-11 15:27:16.127796 : Epoch  6, Batch    410, Loss  0.868949, Average Loss  0.870378, Time  0.170516
2021-09-11 15:27:17.729033 : Epoch  6, Batch    411, Loss  0.882316, Average Loss  0.870360, Time  0.172003
2021-09-11 15:27:19.322785 : Epoch  6, Batch    412, Loss  0.834517, Average Loss  0.870173, Time  0.175519
2021-09-11 15:27:20.920042 : Epoch  6, Batch    413, Loss  0.852043, Average Loss  0.870010, Time  0.172147
2021-09-11 15:27:22.511945 : Epoch  6, Batch    414, Loss  0.863461, Average Loss  0.870002, Time  0.170377
2021-09-11 15:27:23.061973 : Epoch  6, Batch    351, Loss  0.900817, Average Loss  0.868346, Time  0.355603
2021-09-11 15:27:24.125029 : Epoch  6, Batch    415, Loss  0.861285, Average Loss  0.869908, Time  0.178458
2021-09-11 15:27:25.731857 : Epoch  6, Batch    416, Loss  0.868498, Average Loss  0.869929, Time  0.172545
2021-09-11 15:27:26.445155 : Epoch  6, Batch    352, Loss  0.865938, Average Loss  0.868221, Time  0.371728
2021-09-11 15:27:27.351869 : Epoch  6, Batch    417, Loss  0.868788, Average Loss  0.870030, Time  0.176121
2021-09-11 15:27:28.940776 : Epoch  6, Batch    418, Loss  0.847082, Average Loss  0.869991, Time  0.172917
2021-09-11 15:27:30.530030 : Epoch  6, Batch    419, Loss  0.860396, Average Loss  0.869983, Time  0.172447
2021-09-11 15:27:31.886965 : Epoch  6, Batch    353, Loss  0.856251, Average Loss  0.868270, Time  0.549012
2021-09-11 15:27:32.147743 : Epoch  6, Batch    420, Loss  0.852866, Average Loss  0.869887, Time  0.175154
2021-09-11 15:27:33.739029 : Epoch  6, Batch    421, Loss  0.859242, Average Loss  0.869794, Time  0.171540
2021-09-11 15:27:35.315025 : Epoch  6, Batch    422, Loss  0.884283, Average Loss  0.869690, Time  0.170164
2021-09-11 15:27:36.693273 : Epoch  6, Batch    354, Loss  0.854962, Average Loss  0.868084, Time  0.258189
2021-09-11 15:27:36.890767 : Epoch  6, Batch    423, Loss  0.859595, Average Loss  0.869580, Time  0.172872
2021-09-11 15:27:38.476737 : Epoch  6, Batch    424, Loss  0.844657, Average Loss  0.869610, Time  0.172360
2021-09-11 15:27:40.077930 : Epoch  6, Batch    425, Loss  0.894382, Average Loss  0.869896, Time  0.176012
2021-09-11 15:27:41.683936 : Epoch  6, Batch    426, Loss  0.859147, Average Loss  0.869715, Time  0.171792
2021-09-11 15:27:43.298747 : Epoch  6, Batch    427, Loss  0.875381, Average Loss  0.869760, Time  0.173153
2021-09-11 15:27:43.356435 : Epoch  6, Batch    355, Loss  0.878325, Average Loss  0.868035, Time  0.368963
2021-09-11 15:27:44.916922 : Epoch  6, Batch    428, Loss  0.874885, Average Loss  0.869793, Time  0.172377
2021-09-11 15:27:46.530735 : Epoch  6, Batch    429, Loss  0.881999, Average Loss  0.869937, Time  0.172132
2021-09-11 15:27:47.698485 : Epoch  6, Batch    356, Loss  0.878402, Average Loss  0.868040, Time  0.289839
2021-09-11 15:27:48.139770 : Epoch  6, Batch    430, Loss  0.849552, Average Loss  0.869819, Time  0.176325
2021-09-11 15:27:49.757029 : Epoch  6, Batch    431, Loss  0.901089, Average Loss  0.869955, Time  0.170124
2021-09-11 15:27:51.372932 : Epoch  6, Batch    432, Loss  0.891176, Average Loss  0.870035, Time  0.169742
2021-09-11 15:27:51.748123 : Epoch  6, Batch    357, Loss  0.862166, Average Loss  0.867980, Time  0.243500
2021-09-11 15:27:52.967858 : Epoch  6, Batch    433, Loss  0.884675, Average Loss  0.869980, Time  0.170110
2021-09-11 15:27:54.549912 : Epoch  6, Batch    434, Loss  0.879590, Average Loss  0.870003, Time  0.170567
2021-09-11 15:27:56.132762 : Epoch  6, Batch    435, Loss  0.919981, Average Loss  0.870286, Time  0.169974
2021-09-11 15:27:57.728850 : Epoch  6, Batch    436, Loss  0.885705, Average Loss  0.870401, Time  0.170243
2021-09-11 15:27:57.947190 : Epoch  6, Batch    358, Loss  0.864950, Average Loss  0.868024, Time  0.284492
2021-09-11 15:27:59.337775 : Epoch  6, Batch    437, Loss  0.885808, Average Loss  0.870321, Time  0.169833
2021-09-11 15:28:00.933752 : Epoch  6, Batch    438, Loss  0.863387, Average Loss  0.870278, Time  0.170221
2021-09-11 15:28:02.559028 : Epoch  6, Batch    439, Loss  0.875772, Average Loss  0.870318, Time  0.174505
2021-09-11 15:28:04.180823 : Epoch  6, Batch    440, Loss  0.851006, Average Loss  0.870331, Time  0.172136
2021-09-11 15:28:05.777792 : Epoch  6, Batch    441, Loss  0.879041, Average Loss  0.870325, Time  0.170059
2021-09-11 15:28:05.976837 : Epoch  6, Batch    359, Loss  0.854805, Average Loss  0.867961, Time  0.334740
2021-09-11 15:28:07.373772 : Epoch  6, Batch    442, Loss  0.889697, Average Loss  0.870378, Time  0.172262
2021-09-11 15:28:08.968752 : Epoch  6, Batch    443, Loss  0.866700, Average Loss  0.870450, Time  0.171370
2021-09-11 15:28:10.586034 : Epoch  6, Batch    444, Loss  0.892040, Average Loss  0.870690, Time  0.179113
2021-09-11 15:28:10.845118 : Epoch  6, Batch    360, Loss  0.853816, Average Loss  0.867878, Time  0.603000
2021-09-11 15:28:15.617417 : Epoch  6, Batch    361, Loss  0.869303, Average Loss  0.867708, Time  0.466510
2021-09-11 15:28:17.689748 : Epoch  6, Batch    445, Loss  0.828751, Average Loss  0.870472, Time  0.178557
2021-09-11 15:28:22.395426 : Epoch  6, Batch    362, Loss  0.866562, Average Loss  0.867730, Time  0.316267
2021-09-11 15:28:27.270926 : Epoch  6, Batch    363, Loss  0.852010, Average Loss  0.867698, Time  0.364451
2021-09-11 15:28:34.062416 : Epoch  6, Batch    364, Loss  0.858076, Average Loss  0.867828, Time  0.309335
2021-09-11 15:28:40.811028 : Epoch  6, Batch    365, Loss  0.864445, Average Loss  0.867730, Time  0.314882
2021-09-11 15:28:46.734303 : Epoch  6, Batch    366, Loss  0.874590, Average Loss  0.867621, Time  0.297009
2021-09-11 15:28:52.723868 : Epoch  6, Batch    367, Loss  0.880207, Average Loss  0.867735, Time  0.416280
2021-09-11 15:29:00.988312 : Epoch  6, Batch    368, Loss  0.864146, Average Loss  0.867740, Time  0.485794
2021-09-11 15:29:06.193443 : Epoch  6, Batch    369, Loss  0.888260, Average Loss  0.867864, Time  0.353704
2021-09-11 15:29:11.716003 : Epoch  6, Batch    370, Loss  0.862268, Average Loss  0.867894, Time  0.439727
2021-09-11 15:29:17.419033 : Epoch  6, Batch    371, Loss  0.877051, Average Loss  0.867905, Time  0.412517
2021-09-11 15:29:21.973703 : Epoch  6, Batch    372, Loss  0.844653, Average Loss  0.867703, Time  0.392736
2021-09-11 15:29:28.232492 : Epoch  6, Batch    373, Loss  0.892020, Average Loss  0.867829, Time  0.276236
2021-09-11 15:29:35.565968 : Epoch  6, Batch    374, Loss  0.849447, Average Loss  0.867753, Time  0.477721
2021-09-11 15:29:41.733104 : Epoch  6, Batch    375, Loss  0.880660, Average Loss  0.867741, Time  0.275708
2021-09-11 15:29:49.281504 : Epoch  6, Batch    376, Loss  0.873975, Average Loss  0.867720, Time  0.317110
2021-09-11 15:29:55.735149 : Epoch  6, Batch    377, Loss  0.870820, Average Loss  0.867787, Time  0.321726
2021-09-11 15:30:02.805864 : Epoch  6, Batch    378, Loss  0.866742, Average Loss  0.867820, Time  0.528967
2021-09-11 15:30:09.159278 : Epoch  6, Batch    379, Loss  0.872014, Average Loss  0.867812, Time  0.340253
2021-09-11 15:30:13.861639 : Epoch  6, Batch    380, Loss  0.882221, Average Loss  0.867908, Time  0.238546
2021-09-11 15:30:18.814209 : Epoch  6, Batch    381, Loss  0.871388, Average Loss  0.867832, Time  0.273823
2021-09-11 15:30:25.557846 : Epoch  6, Batch    382, Loss  0.867166, Average Loss  0.867783, Time  0.267166
2021-09-11 15:30:30.465815 : Epoch  6, Batch    383, Loss  0.870167, Average Loss  0.867683, Time  0.276010
2021-09-11 15:30:33.485822 : Epoch  6, Batch    384, Loss  0.873562, Average Loss  0.867617, Time  0.257664
2021-09-11 15:30:37.385013 : Epoch  6, Batch    385, Loss  0.869139, Average Loss  0.867635, Time  0.495006
2021-09-11 15:30:43.654445 : Epoch  6, Batch    386, Loss  0.872513, Average Loss  0.867695, Time  0.313715
2021-09-11 15:30:49.712416 : Epoch  6, Batch    387, Loss  0.861431, Average Loss  0.867670, Time  0.239026
2021-09-11 15:30:57.379665 : Epoch  6, Batch    388, Loss  0.870281, Average Loss  0.867613, Time  0.260043
2021-09-11 15:31:02.965878 : Epoch  6, Batch    389, Loss  0.863134, Average Loss  0.867544, Time  0.406341
2021-09-11 15:31:09.445868 : Epoch  6, Batch    390, Loss  0.864758, Average Loss  0.867465, Time  0.267704
2021-09-11 15:31:13.543791 : Epoch  6, Batch    391, Loss  0.878967, Average Loss  0.867660, Time  0.330738
2021-09-11 15:31:19.167051 : Epoch  6, Batch    392, Loss  0.874691, Average Loss  0.867677, Time  0.323078
2021-09-11 15:31:27.897062 : Epoch  6, Batch    393, Loss  0.859778, Average Loss  0.867650, Time  0.370569
2021-09-11 15:31:32.192408 : Epoch  6, Batch    394, Loss  0.853408, Average Loss  0.867570, Time  0.328611
2021-09-11 15:31:37.562988 : Epoch  6, Batch    395, Loss  0.868480, Average Loss  0.867657, Time  0.255717
2021-09-11 15:31:43.285847 : Epoch  6, Batch    396, Loss  0.875626, Average Loss  0.867683, Time  0.293381
2021-09-11 15:31:50.628679 : Epoch  6, Batch    397, Loss  0.869175, Average Loss  0.867786, Time  0.421395
2021-09-11 15:31:56.394057 : Epoch  6, Batch    398, Loss  0.868542, Average Loss  0.867883, Time  0.273566
2021-09-11 15:32:01.831911 : Epoch  6, Batch    399, Loss  0.878149, Average Loss  0.867936, Time  0.442636
2021-09-11 15:32:06.431928 : Epoch  6, Batch    400, Loss  0.873544, Average Loss  0.867938, Time  0.268236
2021-09-11 15:32:13.884384 : Epoch  6, Batch    401, Loss  0.863824, Average Loss  0.867971, Time  0.643045
2021-09-11 15:32:21.951533 : Epoch  6, Batch    402, Loss  0.859570, Average Loss  0.867808, Time  0.407574
2021-09-11 15:32:31.407002 : Epoch  6, Batch    403, Loss  0.874355, Average Loss  0.867843, Time  0.289283
2021-09-11 15:32:37.865436 : Epoch  6, Batch    404, Loss  0.885028, Average Loss  0.867930, Time  0.406414
2021-09-11 15:32:42.438165 : Epoch  6, Batch    405, Loss  0.861270, Average Loss  0.867808, Time  0.385222
2021-09-11 15:32:48.140411 : Epoch  6, Batch    406, Loss  0.873796, Average Loss  0.867849, Time  0.238401
2021-09-11 15:32:53.172411 : Epoch  6, Batch    407, Loss  0.881551, Average Loss  0.867884, Time  0.294640
2021-09-11 15:32:57.343881 : Epoch  6, Batch    408, Loss  0.888918, Average Loss  0.867993, Time  0.310143
2021-09-11 15:32:57.952736 : CheckPoint: Validation Loss  0.00060534, Best Loss  0.00057296
2021-09-11 15:32:59.554959 : Epoch  6, Batch    446, Loss  0.878521, Average Loss  0.870348, Time  0.177718
2021-09-11 15:33:01.151746 : Epoch  6, Batch    447, Loss  0.854606, Average Loss  0.870104, Time  0.170550
2021-09-11 15:33:02.261068 : Epoch  6, Batch    409, Loss  0.858798, Average Loss  0.867994, Time  0.239463
2021-09-11 15:33:02.750752 : Epoch  6, Batch    448, Loss  0.888072, Average Loss  0.870220, Time  0.171532
2021-09-11 15:33:04.335836 : Epoch  6, Batch    449, Loss  0.872768, Average Loss  0.870257, Time  0.171033
2021-09-11 15:33:05.968795 : Epoch  6, Batch    450, Loss  0.866305, Average Loss  0.870185, Time  0.175594
2021-09-11 15:33:07.559024 : Epoch  6, Batch    451, Loss  0.890467, Average Loss  0.870280, Time  0.170075
2021-09-11 15:33:08.456042 : Epoch  6, Batch    410, Loss  0.886144, Average Loss  0.868124, Time  0.238058
2021-09-11 15:33:09.145027 : Epoch  6, Batch    452, Loss  0.869396, Average Loss  0.870284, Time  0.170215
2021-09-11 15:33:10.733094 : Epoch  6, Batch    453, Loss  0.861523, Average Loss  0.870234, Time  0.173336
2021-09-11 15:33:11.515069 : Epoch  6, Batch    411, Loss  0.872590, Average Loss  0.868114, Time  0.303124
2021-09-11 15:33:12.335880 : Epoch  6, Batch    454, Loss  0.867723, Average Loss  0.870247, Time  0.170418
2021-09-11 15:33:13.901045 : Epoch  6, Batch    455, Loss  0.878285, Average Loss  0.870313, Time  0.170365
2021-09-11 15:33:15.481047 : Epoch  6, Batch    456, Loss  0.827136, Average Loss  0.870018, Time  0.170276
2021-09-11 15:33:17.082066 : Epoch  6, Batch    457, Loss  0.888065, Average Loss  0.870032, Time  0.170662
2021-09-11 15:33:18.682814 : Epoch  6, Batch    458, Loss  0.874377, Average Loss  0.869968, Time  0.171779
2021-09-11 15:33:19.634878 : Epoch  6, Batch    412, Loss  0.875753, Average Loss  0.868189, Time  0.333030
2021-09-11 15:33:20.298902 : Epoch  6, Batch    459, Loss  0.850122, Average Loss  0.869982, Time  0.172737
2021-09-11 15:33:21.914857 : Epoch  6, Batch    460, Loss  0.884847, Average Loss  0.870122, Time  0.170261
2021-09-11 15:33:23.542748 : Epoch  6, Batch    461, Loss  0.861286, Average Loss  0.870130, Time  0.170578
2021-09-11 15:33:25.153782 : Epoch  6, Batch    462, Loss  0.858321, Average Loss  0.870033, Time  0.171067
2021-09-11 15:33:25.477028 : Epoch  6, Batch    413, Loss  0.892448, Average Loss  0.868357, Time  0.291105
2021-09-11 15:33:26.784810 : Epoch  6, Batch    463, Loss  0.877087, Average Loss  0.870198, Time  0.178219
2021-09-11 15:33:28.397754 : Epoch  6, Batch    464, Loss  0.897192, Average Loss  0.870395, Time  0.175694
2021-09-11 15:33:29.989037 : Epoch  6, Batch    465, Loss  0.856110, Average Loss  0.870320, Time  0.172679
2021-09-11 15:33:30.372149 : Epoch  6, Batch    414, Loss  0.870180, Average Loss  0.868311, Time  0.290225
2021-09-11 15:33:31.591832 : Epoch  6, Batch    466, Loss  0.844880, Average Loss  0.870248, Time  0.170268
2021-09-11 15:33:33.188799 : Epoch  6, Batch    467, Loss  0.868852, Average Loss  0.870312, Time  0.170093
2021-09-11 15:33:34.777935 : Epoch  6, Batch    468, Loss  0.866614, Average Loss  0.870194, Time  0.169821
2021-09-11 15:33:36.091972 : Epoch  6, Batch    415, Loss  0.849179, Average Loss  0.868275, Time  0.323696
2021-09-11 15:33:36.406788 : Epoch  6, Batch    469, Loss  0.875251, Average Loss  0.870353, Time  0.171037
2021-09-11 15:33:38.025040 : Epoch  6, Batch    470, Loss  0.878026, Average Loss  0.870262, Time  0.169991
2021-09-11 15:33:39.636803 : Epoch  6, Batch    471, Loss  0.869044, Average Loss  0.870176, Time  0.170222
2021-09-11 15:33:41.254860 : Epoch  6, Batch    472, Loss  0.886039, Average Loss  0.870166, Time  0.182387
2021-09-11 15:33:42.852859 : Epoch  6, Batch    473, Loss  0.863796, Average Loss  0.870117, Time  0.172623
2021-09-11 15:33:42.947865 : Epoch  6, Batch    416, Loss  0.877580, Average Loss  0.868206, Time  0.583093
2021-09-11 15:33:44.436873 : Epoch  6, Batch    474, Loss  0.863296, Average Loss  0.870045, Time  0.170419
2021-09-11 15:33:46.019024 : Epoch  6, Batch    475, Loss  0.854561, Average Loss  0.869748, Time  0.172149
2021-09-11 15:33:47.613790 : Epoch  6, Batch    476, Loss  0.853376, Average Loss  0.869746, Time  0.173928
2021-09-11 15:33:47.742943 : Epoch  6, Batch    417, Loss  0.883726, Average Loss  0.868213, Time  0.354244
2021-09-11 15:33:49.217810 : Epoch  6, Batch    477, Loss  0.863521, Average Loss  0.869658, Time  0.173294
2021-09-11 15:33:50.808913 : Epoch  6, Batch    478, Loss  0.866400, Average Loss  0.869489, Time  0.172884
2021-09-11 15:33:52.448014 : Epoch  6, Batch    479, Loss  0.879992, Average Loss  0.869684, Time  0.178386
2021-09-11 15:33:54.057948 : Epoch  6, Batch    480, Loss  0.856538, Average Loss  0.869715, Time  0.169849
2021-09-11 15:33:54.754966 : Epoch  6, Batch    418, Loss  0.849743, Average Loss  0.868095, Time  0.324268
2021-09-11 15:33:55.668037 : Epoch  6, Batch    481, Loss  0.864715, Average Loss  0.869681, Time  0.174901
2021-09-11 15:33:57.287779 : Epoch  6, Batch    482, Loss  0.842729, Average Loss  0.869381, Time  0.171911
2021-09-11 15:33:58.880739 : Epoch  6, Batch    483, Loss  0.866996, Average Loss  0.869355, Time  0.171478
2021-09-11 15:34:00.494933 : Epoch  6, Batch    484, Loss  0.871241, Average Loss  0.869328, Time  0.173657
2021-09-11 15:34:02.095797 : Epoch  6, Batch    485, Loss  0.881038, Average Loss  0.869385, Time  0.175781
2021-09-11 15:34:02.580661 : Epoch  6, Batch    419, Loss  0.855486, Average Loss  0.868014, Time  0.238046
2021-09-11 15:34:03.682914 : Epoch  6, Batch    486, Loss  0.875640, Average Loss  0.869578, Time  0.180215
2021-09-11 15:34:05.286840 : Epoch  6, Batch    487, Loss  0.863732, Average Loss  0.869451, Time  0.171437
2021-09-11 15:34:06.882781 : Epoch  6, Batch    488, Loss  0.873224, Average Loss  0.869489, Time  0.178779
2021-09-11 15:34:08.492037 : Epoch  6, Batch    489, Loss  0.904288, Average Loss  0.869670, Time  0.171772
2021-09-11 15:34:09.953000 : Epoch  6, Batch    420, Loss  0.860271, Average Loss  0.868048, Time  0.507322
2021-09-11 15:34:10.099747 : Epoch  6, Batch    490, Loss  0.892864, Average Loss  0.869687, Time  0.174238
2021-09-11 15:34:11.711744 : Epoch  6, Batch    491, Loss  0.911102, Average Loss  0.869755, Time  0.171449
2021-09-11 15:34:13.308861 : Epoch  6, Batch    492, Loss  0.880325, Average Loss  0.869738, Time  0.173000
2021-09-11 15:34:14.902808 : Epoch  6, Batch    493, Loss  0.881334, Average Loss  0.869860, Time  0.178156
2021-09-11 15:34:16.496873 : Epoch  6, Batch    494, Loss  0.869803, Average Loss  0.869920, Time  0.169911
2021-09-11 15:34:18.108031 : Epoch  6, Batch    495, Loss  0.879170, Average Loss  0.869988, Time  0.180022
2021-09-11 15:34:19.691794 : Epoch  6, Batch    496, Loss  0.910311, Average Loss  0.870173, Time  0.172299
2021-09-11 15:34:21.284021 : Epoch  6, Batch    497, Loss  0.858046, Average Loss  0.870213, Time  0.173969
2021-09-11 15:34:22.871780 : Epoch  6, Batch    498, Loss  0.875278, Average Loss  0.870156, Time  0.171398
2021-09-11 15:34:24.517800 : Epoch  6, Batch    499, Loss  0.836635, Average Loss  0.870069, Time  0.173673
2021-09-11 15:34:26.115748 : Epoch  6, Batch    500, Loss  0.871562, Average Loss  0.870062, Time  0.176854
2021-09-11 15:34:27.709799 : Epoch  6, Batch    501, Loss  0.899905, Average Loss  0.870218, Time  0.172287
2021-09-11 15:34:29.345899 : Epoch  6, Batch    502, Loss  0.883885, Average Loss  0.870158, Time  0.175724
2021-09-11 15:34:30.927921 : Epoch  6, Batch    503, Loss  0.850949, Average Loss  0.870132, Time  0.169740
2021-09-11 15:34:32.535032 : Epoch  6, Batch    504, Loss  0.883837, Average Loss  0.870297, Time  0.183350
2021-09-11 15:34:34.121767 : Epoch  6, Batch    505, Loss  0.862470, Average Loss  0.870219, Time  0.174993
2021-09-11 15:34:35.731038 : Epoch  6, Batch    506, Loss  0.856819, Average Loss  0.870143, Time  0.169777
2021-09-11 15:34:37.309728 : Epoch  6, Batch    507, Loss  0.855429, Average Loss  0.870070, Time  0.169891
2021-09-11 15:34:38.905059 : Epoch  6, Batch    508, Loss  0.898149, Average Loss  0.870235, Time  0.174189
2021-09-11 15:34:40.509892 : Epoch  6, Batch    509, Loss  0.862565, Average Loss  0.870095, Time  0.172222
2021-09-11 15:34:42.111025 : Epoch  6, Batch    510, Loss  0.846951, Average Loss  0.869956, Time  0.175213
2021-09-11 15:34:43.691384 : Epoch  6, Batch    511, Loss  0.867399, Average Loss  0.869802, Time  0.170091
2021-09-11 15:34:45.273760 : Epoch  6, Batch    512, Loss  0.853238, Average Loss  0.869775, Time  0.175014
2021-09-11 15:34:46.876831 : Epoch  6, Batch    513, Loss  0.888287, Average Loss  0.870035, Time  0.169967
2021-09-11 15:34:48.487023 : Epoch  6, Batch    514, Loss  0.862488, Average Loss  0.869925, Time  0.174305
2021-09-11 15:34:50.093028 : Epoch  6, Batch    515, Loss  0.867030, Average Loss  0.869889, Time  0.172716
2021-09-11 15:34:51.677829 : Epoch  6, Batch    516, Loss  0.857646, Average Loss  0.870048, Time  0.171605
2021-09-11 15:34:53.269686 : Epoch  6, Batch    517, Loss  0.860787, Average Loss  0.870126, Time  0.177022
2021-09-11 15:34:54.882033 : Epoch  6, Batch    518, Loss  0.863496, Average Loss  0.870072, Time  0.174620
2021-09-11 15:34:56.486799 : Epoch  6, Batch    519, Loss  0.867532, Average Loss  0.870093, Time  0.174012
2021-09-11 15:34:58.087737 : Epoch  6, Batch    520, Loss  0.895720, Average Loss  0.870139, Time  0.169874
2021-09-11 15:34:59.718810 : Epoch  6, Batch    521, Loss  0.818853, Average Loss  0.870002, Time  0.170330
2021-09-11 15:35:01.341759 : Epoch  6, Batch    522, Loss  0.861419, Average Loss  0.869949, Time  0.174410
2021-09-11 15:35:02.962778 : Epoch  6, Batch    523, Loss  0.873631, Average Loss  0.869975, Time  0.179635
2021-09-11 15:35:04.551915 : Epoch  6, Batch    524, Loss  0.872572, Average Loss  0.869981, Time  0.170445
2021-09-11 15:35:06.131791 : Epoch  6, Batch    525, Loss  0.868681, Average Loss  0.869900, Time  0.172018
2021-09-11 15:35:07.733028 : Epoch  6, Batch    526, Loss  0.849429, Average Loss  0.869742, Time  0.172436
2021-09-11 15:35:09.340032 : Epoch  6, Batch    527, Loss  0.850536, Average Loss  0.869585, Time  0.169918
2021-09-11 15:35:10.948031 : Epoch  6, Batch    528, Loss  0.842569, Average Loss  0.869447, Time  0.170884
2021-09-11 15:35:12.562760 : Epoch  6, Batch    529, Loss  0.851001, Average Loss  0.869485, Time  0.181631
2021-09-11 15:35:14.175750 : Epoch  6, Batch    530, Loss  0.829523, Average Loss  0.869256, Time  0.170387
2021-09-11 15:35:15.782740 : Epoch  6, Batch    531, Loss  0.857401, Average Loss  0.869280, Time  0.176207
2021-09-11 15:35:17.387765 : Epoch  6, Batch    532, Loss  0.845714, Average Loss  0.869117, Time  0.183082
2021-09-11 15:35:18.957743 : Epoch  6, Batch    533, Loss  0.837282, Average Loss  0.868934, Time  0.172055
2021-09-11 15:35:20.574039 : Epoch  6, Batch    534, Loss  0.894206, Average Loss  0.869047, Time  0.177886
2021-09-11 15:35:22.191799 : Epoch  6, Batch    535, Loss  0.870025, Average Loss  0.869232, Time  0.175479
2021-09-11 15:35:23.799781 : Epoch  6, Batch    536, Loss  0.848542, Average Loss  0.869119, Time  0.179193
2021-09-11 15:35:25.396770 : Epoch  6, Batch    537, Loss  0.852250, Average Loss  0.869018, Time  0.171436
2021-09-11 15:35:26.974699 : Epoch  6, Batch    538, Loss  0.868200, Average Loss  0.868990, Time  0.176208
2021-09-11 15:35:28.572842 : Epoch  6, Batch    539, Loss  0.868847, Average Loss  0.868777, Time  0.170114
2021-09-11 15:35:30.158728 : Epoch  6, Batch    540, Loss  0.861674, Average Loss  0.868766, Time  0.170546
2021-09-11 15:35:31.740733 : Epoch  6, Batch    541, Loss  0.873204, Average Loss  0.868840, Time  0.172486
2021-09-11 15:35:33.347745 : Epoch  6, Batch    542, Loss  0.869603, Average Loss  0.868749, Time  0.171369
2021-09-11 15:35:34.951032 : Epoch  6, Batch    543, Loss  0.849482, Average Loss  0.868571, Time  0.172573
2021-09-11 15:35:36.551753 : Epoch  6, Batch    544, Loss  0.849923, Average Loss  0.868482, Time  0.171446
2021-09-11 15:35:38.150030 : Epoch  6, Batch    545, Loss  0.909474, Average Loss  0.868701, Time  0.172621
2021-09-11 15:40:18.865713 : CheckPoint: Validation Loss  0.00060040, Best Loss  0.00057296
2021-09-11 15:40:20.475944 : Epoch  6, Batch    546, Loss  0.848390, Average Loss  0.868532, Time  0.180928
2021-09-11 15:40:22.067748 : Epoch  6, Batch    547, Loss  0.881071, Average Loss  0.868581, Time  0.174476
2021-09-11 15:40:23.683036 : Epoch  6, Batch    548, Loss  0.890594, Average Loss  0.868668, Time  0.179455
2021-09-11 15:40:25.278959 : Epoch  6, Batch    549, Loss  0.863963, Average Loss  0.868657, Time  0.172321
2021-09-11 15:40:26.858083 : Epoch  6, Batch    550, Loss  0.877244, Average Loss  0.868644, Time  0.170001
2021-09-11 15:40:28.492030 : Epoch  6, Batch    551, Loss  0.889830, Average Loss  0.868759, Time  0.175681
2021-09-11 15:40:30.105856 : Epoch  6, Batch    552, Loss  0.821925, Average Loss  0.868576, Time  0.171233
2021-09-11 15:40:31.707033 : Epoch  6, Batch    553, Loss  0.879675, Average Loss  0.868665, Time  0.174179
2021-09-11 15:40:33.298922 : Epoch  6, Batch    554, Loss  0.876351, Average Loss  0.868658, Time  0.177187
2021-09-11 15:40:34.890029 : Epoch  6, Batch    555, Loss  0.868991, Average Loss  0.868703, Time  0.169978
2021-09-11 15:40:36.486025 : Epoch  6, Batch    556, Loss  0.870863, Average Loss  0.868706, Time  0.172870
2021-09-11 15:40:38.073815 : Epoch  6, Batch    557, Loss  0.851704, Average Loss  0.868558, Time  0.176746
2021-09-11 15:40:39.648784 : Epoch  6, Batch    558, Loss  0.857576, Average Loss  0.868466, Time  0.170255
2021-09-11 15:40:41.227470 : Epoch  6, Batch    559, Loss  0.882285, Average Loss  0.868581, Time  0.169856
2021-09-11 15:40:42.813757 : Epoch  6, Batch    560, Loss  0.889387, Average Loss  0.868579, Time  0.173857
2021-09-11 15:40:44.406038 : Epoch  6, Batch    561, Loss  0.864622, Average Loss  0.868684, Time  0.169965
2021-09-11 15:40:46.033756 : Epoch  6, Batch    562, Loss  0.860138, Average Loss  0.868601, Time  0.174024
2021-09-11 15:40:47.651745 : Epoch  6, Batch    563, Loss  0.848703, Average Loss  0.868365, Time  0.175832
2021-09-11 15:40:49.266744 : Epoch  6, Batch    564, Loss  0.879392, Average Loss  0.868300, Time  0.176441
2021-09-11 15:40:50.862839 : Epoch  6, Batch    565, Loss  0.841209, Average Loss  0.868197, Time  0.179402
2021-09-11 15:40:52.469780 : Epoch  6, Batch    566, Loss  0.880434, Average Loss  0.868144, Time  0.182954
2021-09-11 15:40:54.074768 : Epoch  6, Batch    567, Loss  0.887465, Average Loss  0.868202, Time  0.170456
2021-09-11 15:40:55.681742 : Epoch  6, Batch    568, Loss  0.870354, Average Loss  0.868204, Time  0.170103
2021-09-11 15:40:57.289744 : Epoch  6, Batch    569, Loss  0.867882, Average Loss  0.868265, Time  0.172707
2021-09-11 15:40:58.893799 : Epoch  6, Batch    570, Loss  0.868974, Average Loss  0.868346, Time  0.170001
2021-09-11 15:41:00.505807 : Epoch  6, Batch    571, Loss  0.882643, Average Loss  0.868331, Time  0.176185
2021-09-11 15:41:02.105737 : Epoch  6, Batch    572, Loss  0.857897, Average Loss  0.868238, Time  0.176622
2021-09-11 15:41:03.693822 : Epoch  6, Batch    573, Loss  0.876884, Average Loss  0.868280, Time  0.170136
2021-09-11 15:41:05.281040 : Epoch  6, Batch    574, Loss  0.851137, Average Loss  0.868214, Time  0.172239
2021-09-11 15:41:06.863039 : Epoch  6, Batch    575, Loss  0.877005, Average Loss  0.868376, Time  0.169986
2021-09-11 15:41:08.471029 : Epoch  6, Batch    576, Loss  0.837356, Average Loss  0.868353, Time  0.172122
2021-09-11 15:41:10.047894 : Epoch  6, Batch    577, Loss  0.873744, Average Loss  0.868535, Time  0.169812
2021-09-11 15:41:11.636897 : Epoch  6, Batch    578, Loss  0.840050, Average Loss  0.868524, Time  0.179511
2021-09-11 15:41:13.255865 : Epoch  6, Batch    579, Loss  0.878053, Average Loss  0.868413, Time  0.170434
2021-09-11 15:41:14.835899 : Epoch  6, Batch    580, Loss  0.911242, Average Loss  0.868510, Time  0.170165
2021-09-11 15:41:16.430910 : Epoch  6, Batch    581, Loss  0.873841, Average Loss  0.868495, Time  0.170130
2021-09-11 15:41:18.031766 : Epoch  6, Batch    582, Loss  0.831597, Average Loss  0.868174, Time  0.170159
2021-09-11 15:41:19.655030 : Epoch  6, Batch    583, Loss  0.872222, Average Loss  0.868105, Time  0.173008
2021-09-11 15:41:21.263782 : Epoch  6, Batch    584, Loss  0.859494, Average Loss  0.867973, Time  0.177850
2021-09-11 15:41:22.885796 : Epoch  6, Batch    585, Loss  0.872523, Average Loss  0.868133, Time  0.173949
2021-09-11 15:41:24.476831 : Epoch  6, Batch    586, Loss  0.877605, Average Loss  0.868255, Time  0.173903
2021-09-11 15:41:26.059799 : Epoch  6, Batch    587, Loss  0.874902, Average Loss  0.868478, Time  0.172397
2021-09-11 15:41:27.657118 : Epoch  6, Batch    588, Loss  0.892131, Average Loss  0.868470, Time  0.178887
2021-09-11 15:41:29.239892 : Epoch  6, Batch    589, Loss  0.854720, Average Loss  0.868532, Time  0.171788
2021-09-11 15:41:30.845797 : Epoch  6, Batch    590, Loss  0.875102, Average Loss  0.868466, Time  0.170438
2021-09-11 15:41:32.441803 : Epoch  6, Batch    591, Loss  0.875911, Average Loss  0.868700, Time  0.170034
2021-09-11 15:41:34.035747 : Epoch  6, Batch    592, Loss  0.893801, Average Loss  0.868698, Time  0.170080
2021-09-11 15:41:35.658859 : Epoch  6, Batch    593, Loss  0.882190, Average Loss  0.868740, Time  0.173866
2021-09-11 15:41:37.268793 : Epoch  6, Batch    594, Loss  0.852817, Average Loss  0.868635, Time  0.170376
2021-09-11 15:41:38.884080 : Epoch  6, Batch    595, Loss  0.890331, Average Loss  0.868828, Time  0.177231
2021-09-11 15:41:40.486050 : Epoch  6, Batch    596, Loss  0.886204, Average Loss  0.868965, Time  0.172542
2021-09-11 15:41:42.069513 : Epoch  6, Batch    597, Loss  0.839334, Average Loss  0.868605, Time  0.170661
2021-09-11 15:41:43.667746 : Epoch  6, Batch    598, Loss  0.864600, Average Loss  0.868530, Time  0.174047
2021-09-11 15:41:45.291770 : Epoch  6, Batch    599, Loss  0.871897, Average Loss  0.868482, Time  0.174191
2021-09-11 15:41:46.912057 : Epoch  6, Batch    600, Loss  0.878836, Average Loss  0.868611, Time  0.173082
2021-09-11 15:41:48.538941 : Epoch  6, Batch    601, Loss  0.870268, Average Loss  0.868659, Time  0.171125
2021-09-11 15:41:50.137039 : Epoch  6, Batch    602, Loss  0.891633, Average Loss  0.868820, Time  0.170218
2021-09-11 15:41:51.729839 : Epoch  6, Batch    603, Loss  0.844971, Average Loss  0.868834, Time  0.170001
2021-09-11 15:41:53.330029 : Epoch  6, Batch    604, Loss  0.843868, Average Loss  0.868527, Time  0.172854
2021-09-11 15:41:54.924053 : Epoch  6, Batch    605, Loss  0.872714, Average Loss  0.868654, Time  0.172591
2021-09-11 15:41:56.527869 : Epoch  6, Batch    606, Loss  0.877993, Average Loss  0.868595, Time  0.171218
2021-09-11 15:41:58.160798 : Epoch  6, Batch    607, Loss  0.851426, Average Loss  0.868513, Time  0.198380
2021-09-11 15:41:59.768759 : Epoch  6, Batch    608, Loss  0.886502, Average Loss  0.868666, Time  0.171493
2021-09-11 15:42:01.384820 : Epoch  6, Batch    609, Loss  0.862110, Average Loss  0.868627, Time  0.179489
2021-09-11 15:42:02.987791 : Epoch  6, Batch    610, Loss  0.878569, Average Loss  0.868675, Time  0.170344
2021-09-11 15:42:04.588098 : Epoch  6, Batch    611, Loss  0.842336, Average Loss  0.868475, Time  0.170258
2021-09-11 15:42:06.177739 : Epoch  6, Batch    612, Loss  0.881437, Average Loss  0.868710, Time  0.173402
2021-09-11 15:42:07.776724 : Epoch  6, Batch    613, Loss  0.863187, Average Loss  0.868765, Time  0.170050
2021-09-11 15:42:09.363827 : Epoch  6, Batch    614, Loss  0.845906, Average Loss  0.868678, Time  0.169827
2021-09-11 15:42:10.957736 : Epoch  6, Batch    615, Loss  0.871760, Average Loss  0.868730, Time  0.189284
2021-09-11 15:42:12.568038 : Epoch  6, Batch    616, Loss  0.882236, Average Loss  0.868799, Time  0.170067
2021-09-11 15:42:14.207742 : Epoch  6, Batch    617, Loss  0.884530, Average Loss  0.868877, Time  0.183488
2021-09-11 15:42:15.797144 : Epoch  6, Batch    618, Loss  0.872125, Average Loss  0.869003, Time  0.175782
2021-09-11 15:42:17.383782 : Epoch  6, Batch    619, Loss  0.894188, Average Loss  0.869172, Time  0.170334
2021-09-11 15:42:18.991863 : Epoch  6, Batch    620, Loss  0.884887, Average Loss  0.869332, Time  0.172626
2021-09-11 15:42:20.624784 : Epoch  6, Batch    621, Loss  0.893991, Average Loss  0.869505, Time  0.171552
2021-09-11 15:42:22.248827 : Epoch  6, Batch    622, Loss  0.850379, Average Loss  0.869336, Time  0.180494
2021-09-11 15:42:23.863110 : Epoch  6, Batch    623, Loss  0.888640, Average Loss  0.869481, Time  0.178699
2021-09-11 15:42:25.455744 : Epoch  6, Batch    624, Loss  0.864015, Average Loss  0.869578, Time  0.184023
2021-09-11 15:42:27.026034 : Epoch  6, Batch    625, Loss  0.855233, Average Loss  0.869382, Time  0.172216
2021-09-11 15:42:28.647858 : Epoch  6, Batch    626, Loss  0.868546, Average Loss  0.869429, Time  0.182836
2021-09-11 15:42:30.221827 : Epoch  6, Batch    627, Loss  0.874247, Average Loss  0.869423, Time  0.172907
2021-09-11 15:42:31.855836 : Epoch  6, Batch    628, Loss  0.875030, Average Loss  0.869424, Time  0.177348
2021-09-11 15:42:33.478912 : Epoch  6, Batch    629, Loss  0.840516, Average Loss  0.869217, Time  0.172376
2021-09-11 15:42:35.088847 : Epoch  6, Batch    630, Loss  0.843210, Average Loss  0.869185, Time  0.175536
2021-09-11 15:42:36.699039 : Epoch  6, Batch    631, Loss  0.863810, Average Loss  0.868999, Time  0.171620
2021-09-11 15:42:38.305802 : Epoch  6, Batch    632, Loss  0.868184, Average Loss  0.868884, Time  0.174213
2021-09-11 15:42:39.950030 : Epoch  6, Batch    633, Loss  0.853293, Average Loss  0.868727, Time  0.188576
2021-09-11 15:42:41.567840 : Epoch  6, Batch    634, Loss  0.862838, Average Loss  0.868643, Time  0.171548
2021-09-11 15:42:43.165778 : Epoch  6, Batch    635, Loss  0.874132, Average Loss  0.868414, Time  0.170696
2021-09-11 15:42:44.761032 : Epoch  6, Batch    636, Loss  0.839258, Average Loss  0.868182, Time  0.169939
2021-09-11 15:42:46.365738 : Epoch  6, Batch    637, Loss  0.879249, Average Loss  0.868149, Time  0.176175
2021-09-11 15:42:47.979693 : Epoch  6, Batch    638, Loss  0.849085, Average Loss  0.868077, Time  0.172416
2021-09-11 15:42:49.604749 : Epoch  6, Batch    639, Loss  0.872249, Average Loss  0.868060, Time  0.180001
2021-09-11 15:42:51.227748 : Epoch  6, Batch    640, Loss  0.909291, Average Loss  0.868351, Time  0.178434
2021-09-11 15:42:52.838732 : Epoch  6, Batch    641, Loss  0.845344, Average Loss  0.868183, Time  0.169850
2021-09-11 15:42:54.444766 : Epoch  6, Batch    642, Loss  0.865703, Average Loss  0.868063, Time  0.173412
2021-09-11 15:42:56.029775 : Epoch  6, Batch    643, Loss  0.860996, Average Loss  0.868034, Time  0.170196
2021-09-11 15:42:57.629955 : Epoch  6, Batch    644, Loss  0.868620, Average Loss  0.867917, Time  0.170040
2021-09-11 15:42:59.219817 : Epoch  6, Batch    645, Loss  0.849166, Average Loss  0.868019, Time  0.177990
2021-09-11 15:44:21.680732 : CheckPoint: Validation Loss  0.00031346, Best Loss  0.00029019
2021-09-11 15:44:27.549418 : Epoch  6, Batch    421, Loss  0.856052, Average Loss  0.867918, Time  0.262327
2021-09-11 15:44:33.203961 : Epoch  6, Batch    422, Loss  0.876491, Average Loss  0.867914, Time  0.291524
2021-09-11 15:44:36.985630 : Epoch  6, Batch    423, Loss  0.858181, Average Loss  0.867849, Time  0.237491
2021-09-11 15:44:43.078134 : Epoch  6, Batch    424, Loss  0.876863, Average Loss  0.867913, Time  0.354069
2021-09-11 15:44:47.648871 : Epoch  6, Batch    425, Loss  0.880831, Average Loss  0.868141, Time  0.237861
2021-09-11 15:44:55.842343 : Epoch  6, Batch    426, Loss  0.875016, Average Loss  0.868205, Time  0.405307
2021-09-11 15:45:00.702866 : Epoch  6, Batch    427, Loss  0.860347, Average Loss  0.868241, Time  0.464583
2021-09-11 15:45:04.333356 : Epoch  6, Batch    428, Loss  0.870198, Average Loss  0.868304, Time  0.237829
2021-09-11 15:45:10.738461 : Epoch  6, Batch    429, Loss  0.870835, Average Loss  0.868225, Time  0.364602
2021-09-11 15:45:16.014007 : Epoch  6, Batch    430, Loss  0.862920, Average Loss  0.868201, Time  0.363975
2021-09-11 15:45:20.452394 : Epoch  6, Batch    431, Loss  0.893767, Average Loss  0.868431, Time  0.248111
2021-09-11 15:45:27.885022 : Epoch  6, Batch    432, Loss  0.870419, Average Loss  0.868405, Time  0.409347
2021-09-11 15:45:32.734624 : Epoch  6, Batch    433, Loss  0.845207, Average Loss  0.868219, Time  0.237280
2021-09-11 15:45:39.011035 : Epoch  6, Batch    434, Loss  0.850802, Average Loss  0.868151, Time  0.610145
2021-09-11 15:45:46.486412 : Epoch  6, Batch    435, Loss  0.861924, Average Loss  0.868130, Time  0.432197
2021-09-11 15:45:52.167953 : Epoch  6, Batch    436, Loss  0.872610, Average Loss  0.868210, Time  0.300988
2021-09-11 15:45:59.606337 : Epoch  6, Batch    437, Loss  0.864471, Average Loss  0.868121, Time  0.526772
2021-09-11 15:46:05.091105 : Epoch  6, Batch    438, Loss  0.882105, Average Loss  0.868120, Time  0.242842
2021-09-11 15:46:09.422009 : Epoch  6, Batch    439, Loss  0.868408, Average Loss  0.868146, Time  0.332124
2021-09-11 15:46:17.647005 : Epoch  6, Batch    440, Loss  0.874454, Average Loss  0.868071, Time  0.403483
2021-09-11 15:46:22.514946 : Epoch  6, Batch    441, Loss  0.868287, Average Loss  0.868054, Time  0.286071
2021-09-11 15:46:27.619395 : Epoch  6, Batch    442, Loss  0.870703, Average Loss  0.868147, Time  0.237409
2021-09-11 15:46:32.979435 : Epoch  6, Batch    443, Loss  0.855793, Average Loss  0.868044, Time  0.339540
2021-09-11 15:46:38.439677 : Epoch  6, Batch    444, Loss  0.876442, Average Loss  0.868090, Time  0.405318
2021-09-11 15:46:46.657485 : Epoch  6, Batch    445, Loss  0.856618, Average Loss  0.868094, Time  0.389602
2021-09-11 15:46:55.405460 : Epoch  6, Batch    446, Loss  0.858470, Average Loss  0.867953, Time  0.417867
2021-09-11 15:47:02.419848 : Epoch  6, Batch    447, Loss  0.843471, Average Loss  0.867879, Time  0.290867
2021-09-11 15:47:08.566035 : Epoch  6, Batch    448, Loss  0.864719, Average Loss  0.867899, Time  0.477663
2021-09-11 15:47:13.991406 : Epoch  6, Batch    449, Loss  0.866773, Average Loss  0.867865, Time  0.327651
2021-09-11 15:47:19.829934 : Epoch  6, Batch    450, Loss  0.855128, Average Loss  0.867920, Time  0.380384
2021-09-11 15:47:27.987128 : Epoch  6, Batch    451, Loss  0.872751, Average Loss  0.867902, Time  0.358210
2021-09-11 15:47:35.239883 : Epoch  6, Batch    452, Loss  0.892952, Average Loss  0.867997, Time  0.281289
2021-09-11 15:47:40.353715 : CheckPoint: Validation Loss  0.00061452, Best Loss  0.00057296
2021-09-11 15:47:40.696919 : Epoch  6, Batch    453, Loss  0.869948, Average Loss  0.867991, Time  0.351344
2021-09-11 15:47:41.972955 : Epoch  6, Batch    646, Loss  0.879599, Average Loss  0.868024, Time  0.183895
2021-09-11 15:47:43.563318 : Epoch  6, Batch    647, Loss  0.860386, Average Loss  0.868053, Time  0.171378
2021-09-11 15:47:45.161779 : Epoch  6, Batch    648, Loss  0.868889, Average Loss  0.867957, Time  0.173065
2021-09-11 15:47:46.769024 : Epoch  6, Batch    649, Loss  0.866632, Average Loss  0.867927, Time  0.170154
2021-09-11 15:47:47.299490 : Epoch  6, Batch    454, Loss  0.873347, Average Loss  0.868090, Time  0.441444
2021-09-11 15:47:48.382794 : Epoch  6, Batch    650, Loss  0.885613, Average Loss  0.868023, Time  0.171023
2021-09-11 15:47:49.989052 : Epoch  6, Batch    651, Loss  0.881605, Average Loss  0.867979, Time  0.170991
2021-09-11 15:47:51.586739 : Epoch  6, Batch    652, Loss  0.884109, Average Loss  0.868053, Time  0.174136
2021-09-11 15:47:53.177813 : Epoch  6, Batch    653, Loss  0.863189, Average Loss  0.868061, Time  0.171830
2021-09-11 15:47:54.788908 : Epoch  6, Batch    654, Loss  0.856238, Average Loss  0.868003, Time  0.186939
2021-09-11 15:47:54.962045 : Epoch  6, Batch    455, Loss  0.861207, Average Loss  0.868058, Time  0.265782
2021-09-11 15:47:56.394817 : Epoch  6, Batch    655, Loss  0.845982, Average Loss  0.867842, Time  0.170606
2021-09-11 15:47:58.010767 : Epoch  6, Batch    656, Loss  0.876566, Average Loss  0.868089, Time  0.172851
2021-09-11 15:47:58.297956 : Epoch  6, Batch    456, Loss  0.862502, Average Loss  0.868134, Time  0.322146
2021-09-11 15:47:59.623895 : Epoch  6, Batch    657, Loss  0.853084, Average Loss  0.867914, Time  0.178816
2021-09-11 15:48:01.213915 : Epoch  6, Batch    658, Loss  0.889659, Average Loss  0.867991, Time  0.172369
2021-09-11 15:48:02.807038 : Epoch  6, Batch    659, Loss  0.869938, Average Loss  0.868090, Time  0.177745
2021-09-11 15:48:04.399029 : Epoch  6, Batch    660, Loss  0.870504, Average Loss  0.868018, Time  0.169668
2021-09-11 15:48:04.591633 : Epoch  6, Batch    457, Loss  0.860702, Average Loss  0.868135, Time  0.238638
2021-09-11 15:48:06.018033 : Epoch  6, Batch    661, Loss  0.899841, Average Loss  0.868211, Time  0.170480
2021-09-11 15:48:07.641026 : Epoch  6, Batch    662, Loss  0.866816, Average Loss  0.868253, Time  0.169999
2021-09-11 15:48:09.261798 : Epoch  6, Batch    663, Loss  0.883261, Average Loss  0.868284, Time  0.170244
2021-09-11 15:48:10.002084 : Epoch  6, Batch    458, Loss  0.867777, Average Loss  0.868080, Time  0.328285
2021-09-11 15:48:10.868031 : Epoch  6, Batch    664, Loss  0.901634, Average Loss  0.868306, Time  0.171847
2021-09-11 15:48:12.461788 : Epoch  6, Batch    665, Loss  0.881846, Average Loss  0.868435, Time  0.169917
2021-09-11 15:48:14.086986 : Epoch  6, Batch    666, Loss  0.866006, Average Loss  0.868541, Time  0.176920
2021-09-11 15:48:15.707035 : Epoch  6, Batch    667, Loss  0.860465, Average Loss  0.868499, Time  0.171865
2021-09-11 15:48:17.346742 : Epoch  6, Batch    668, Loss  0.868129, Average Loss  0.868506, Time  0.170251
2021-09-11 15:48:17.783049 : Epoch  6, Batch    459, Loss  0.882033, Average Loss  0.868083, Time  0.307993
2021-09-11 15:48:18.960796 : Epoch  6, Batch    669, Loss  0.876907, Average Loss  0.868515, Time  0.170053
2021-09-11 15:48:20.601900 : Epoch  6, Batch    670, Loss  0.865106, Average Loss  0.868450, Time  0.175449
2021-09-11 15:48:22.217832 : Epoch  6, Batch    671, Loss  0.877385, Average Loss  0.868492, Time  0.177963
2021-09-11 15:48:23.088888 : Epoch  6, Batch    460, Loss  0.861206, Average Loss  0.867993, Time  0.306550
2021-09-11 15:48:23.833031 : Epoch  6, Batch    672, Loss  0.887718, Average Loss  0.868500, Time  0.174530
2021-09-11 15:48:25.418749 : Epoch  6, Batch    673, Loss  0.868400, Average Loss  0.868523, Time  0.173830
2021-09-11 15:48:27.025778 : Epoch  6, Batch    674, Loss  0.853771, Average Loss  0.868475, Time  0.170041
2021-09-11 15:48:28.636750 : Epoch  6, Batch    675, Loss  0.854258, Average Loss  0.868474, Time  0.170253
2021-09-11 15:48:30.240741 : Epoch  6, Batch    676, Loss  0.886791, Average Loss  0.868641, Time  0.169813
2021-09-11 15:48:30.355414 : Epoch  6, Batch    461, Loss  0.856427, Average Loss  0.867897, Time  0.370047
2021-09-11 15:48:31.863756 : Epoch  6, Batch    677, Loss  0.869624, Average Loss  0.868672, Time  0.170351
2021-09-11 15:48:33.475788 : Epoch  6, Batch    678, Loss  0.829784, Average Loss  0.868488, Time  0.172313
2021-09-11 15:48:35.063827 : Epoch  6, Batch    679, Loss  0.869303, Average Loss  0.868435, Time  0.171146
2021-09-11 15:48:36.649741 : Epoch  6, Batch    680, Loss  0.849886, Average Loss  0.868402, Time  0.173202
2021-09-11 15:48:38.287852 : Epoch  6, Batch    681, Loss  0.883312, Average Loss  0.868495, Time  0.178382
2021-09-11 15:48:39.889037 : Epoch  6, Batch    682, Loss  0.856327, Average Loss  0.868563, Time  0.172462
2021-09-11 15:48:40.597264 : Epoch  6, Batch    463, Loss  0.848438, Average Loss  0.867702, Time  0.263447
2021-09-11 15:48:41.521837 : Epoch  6, Batch    683, Loss  0.878788, Average Loss  0.868622, Time  0.175866
2021-09-11 15:48:43.112834 : Epoch  6, Batch    684, Loss  0.901813, Average Loss  0.868775, Time  0.169954
2021-09-11 15:48:44.720740 : Epoch  6, Batch    685, Loss  0.852159, Average Loss  0.868630, Time  0.176423
2021-09-11 15:48:46.343801 : Epoch  6, Batch    686, Loss  0.868444, Average Loss  0.868594, Time  0.172922
2021-09-11 15:48:46.737210 : Epoch  6, Batch    464, Loss  0.868820, Average Loss  0.867727, Time  0.459379
2021-09-11 15:48:47.973904 : Epoch  6, Batch    687, Loss  0.877348, Average Loss  0.868662, Time  0.177866
2021-09-11 15:48:49.584028 : Epoch  6, Batch    688, Loss  0.856433, Average Loss  0.868578, Time  0.177360
2021-09-11 15:48:51.187854 : Epoch  6, Batch    689, Loss  0.887957, Average Loss  0.868497, Time  0.173419
2021-09-11 15:48:52.791015 : Epoch  6, Batch    690, Loss  0.859390, Average Loss  0.868329, Time  0.169749
2021-09-11 15:48:53.417488 : Epoch  6, Batch    465, Loss  0.843904, Average Loss  0.867698, Time  0.418724
2021-09-11 15:48:54.392029 : Epoch  6, Batch    691, Loss  0.874924, Average Loss  0.868148, Time  0.178589
2021-09-11 15:48:56.015752 : Epoch  6, Batch    692, Loss  0.882001, Average Loss  0.868157, Time  0.174540
2021-09-11 15:48:57.608906 : Epoch  6, Batch    693, Loss  0.841043, Average Loss  0.867955, Time  0.170190
2021-09-11 15:48:59.223882 : Epoch  6, Batch    694, Loss  0.881860, Average Loss  0.868016, Time  0.169814
2021-09-11 15:48:59.535894 : Epoch  6, Batch    466, Loss  0.869072, Average Loss  0.867702, Time  0.365952
2021-09-11 15:49:00.848795 : Epoch  6, Batch    695, Loss  0.870475, Average Loss  0.867972, Time  0.169816
2021-09-11 15:49:02.476888 : Epoch  6, Batch    696, Loss  0.863190, Average Loss  0.867736, Time  0.170651
2021-09-11 15:49:04.078772 : Epoch  6, Batch    697, Loss  0.888286, Average Loss  0.867888, Time  0.175921
2021-09-11 15:49:05.467061 : Epoch  6, Batch    467, Loss  0.871278, Average Loss  0.867770, Time  0.282422
2021-09-11 15:49:05.695873 : Epoch  6, Batch    698, Loss  0.921994, Average Loss  0.868121, Time  0.171572
2021-09-11 15:49:07.297738 : Epoch  6, Batch    699, Loss  0.878629, Average Loss  0.868331, Time  0.174053
2021-09-11 15:49:08.894777 : Epoch  6, Batch    700, Loss  0.876740, Average Loss  0.868357, Time  0.169951
2021-09-11 15:49:10.484051 : Epoch  6, Batch    701, Loss  0.853911, Average Loss  0.868127, Time  0.178928
2021-09-11 15:49:12.106773 : Epoch  6, Batch    702, Loss  0.862855, Average Loss  0.868022, Time  0.176841
2021-09-11 15:49:12.381603 : Epoch  6, Batch    468, Loss  0.862912, Average Loss  0.867699, Time  0.494893
2021-09-11 15:49:13.700762 : Epoch  6, Batch    703, Loss  0.885002, Average Loss  0.868192, Time  0.169792
2021-09-11 15:49:15.322866 : Epoch  6, Batch    704, Loss  0.890391, Average Loss  0.868225, Time  0.169803
2021-09-11 15:49:16.371745 : Epoch  6, Batch    469, Loss  0.856968, Average Loss  0.867714, Time  0.277783
2021-09-11 15:49:16.929947 : Epoch  6, Batch    705, Loss  0.882964, Average Loss  0.868327, Time  0.169905
2021-09-11 15:49:18.542015 : Epoch  6, Batch    706, Loss  0.857345, Average Loss  0.868330, Time  0.169998
2021-09-11 15:49:20.142790 : Epoch  6, Batch    707, Loss  0.897416, Average Loss  0.868540, Time  0.169626
2021-09-11 15:49:21.192136 : Epoch  6, Batch    470, Loss  0.878918, Average Loss  0.867687, Time  0.439699
2021-09-11 15:49:21.738748 : Epoch  6, Batch    708, Loss  0.840483, Average Loss  0.868252, Time  0.169396
2021-09-11 15:49:23.356862 : Epoch  6, Batch    709, Loss  0.880196, Average Loss  0.868340, Time  0.170255
2021-09-11 15:49:24.961866 : Epoch  6, Batch    710, Loss  0.868283, Average Loss  0.868447, Time  0.169833
2021-09-11 15:49:26.573805 : Epoch  6, Batch    711, Loss  0.910619, Average Loss  0.868663, Time  0.170133
2021-09-11 15:49:28.111022 : Epoch  6, Batch    471, Loss  0.895599, Average Loss  0.867882, Time  0.327651
2021-09-11 15:49:28.187995 : Epoch  6, Batch    712, Loss  0.866423, Average Loss  0.868729, Time  0.169683
2021-09-11 15:49:29.798762 : Epoch  6, Batch    713, Loss  0.882262, Average Loss  0.868698, Time  0.169343
2021-09-11 15:49:31.389769 : Epoch  6, Batch    714, Loss  0.863682, Average Loss  0.868704, Time  0.169592
2021-09-11 15:49:32.385418 : Epoch  6, Batch    472, Loss  0.861828, Average Loss  0.867958, Time  0.405757
2021-09-11 15:49:32.999001 : Epoch  6, Batch    715, Loss  0.870187, Average Loss  0.868720, Time  0.172370
2021-09-11 15:49:34.607770 : Epoch  6, Batch    716, Loss  0.880729, Average Loss  0.868836, Time  0.169631
2021-09-11 15:49:36.200871 : Epoch  6, Batch    717, Loss  0.840772, Average Loss  0.868736, Time  0.169667
2021-09-11 15:49:37.780735 : Epoch  6, Batch    718, Loss  0.851977, Average Loss  0.868678, Time  0.169584
2021-09-11 15:49:39.355933 : Epoch  6, Batch    719, Loss  0.860552, Average Loss  0.868643, Time  0.169649
2021-09-11 15:49:40.827858 : Epoch  6, Batch    473, Loss  0.873574, Average Loss  0.867975, Time  0.397416
2021-09-11 15:49:40.952862 : Epoch  6, Batch    720, Loss  0.854957, Average Loss  0.868439, Time  0.169682
2021-09-11 15:49:42.570673 : Epoch  6, Batch    721, Loss  0.859837, Average Loss  0.868644, Time  0.169593
2021-09-11 15:49:44.141826 : Epoch  6, Batch    722, Loss  0.874142, Average Loss  0.868708, Time  0.169715
2021-09-11 15:49:45.755000 : Epoch  6, Batch    723, Loss  0.866447, Average Loss  0.868672, Time  0.169924
2021-09-11 15:49:47.346882 : Epoch  6, Batch    724, Loss  0.875359, Average Loss  0.868686, Time  0.175406
2021-09-11 15:49:48.931036 : Epoch  6, Batch    725, Loss  0.854482, Average Loss  0.868615, Time  0.174561
2021-09-11 15:49:50.011904 : Epoch  6, Batch    474, Loss  0.855066, Average Loss  0.867961, Time  0.275187
2021-09-11 15:49:50.517792 : Epoch  6, Batch    726, Loss  0.875780, Average Loss  0.868747, Time  0.171957
2021-09-11 15:49:52.123986 : Epoch  6, Batch    727, Loss  0.879379, Average Loss  0.868891, Time  0.169864
2021-09-11 15:49:53.722748 : Epoch  6, Batch    728, Loss  0.874065, Average Loss  0.869048, Time  0.169999
2021-09-11 15:49:55.325997 : Epoch  6, Batch    729, Loss  0.893713, Average Loss  0.869262, Time  0.169807
2021-09-11 15:49:56.937744 : Epoch  6, Batch    730, Loss  0.862681, Average Loss  0.869428, Time  0.169628
2021-09-11 15:49:57.241426 : Epoch  6, Batch    475, Loss  0.868723, Average Loss  0.867955, Time  0.368795
2021-09-11 15:49:58.570778 : Epoch  6, Batch    731, Loss  0.884910, Average Loss  0.869565, Time  0.169641
2021-09-11 15:50:00.175820 : Epoch  6, Batch    732, Loss  0.898442, Average Loss  0.869829, Time  0.169503
2021-09-11 15:50:01.789841 : Epoch  6, Batch    733, Loss  0.886170, Average Loss  0.870073, Time  0.171897
2021-09-11 15:50:03.022453 : Epoch  6, Batch    476, Loss  0.874921, Average Loss  0.867943, Time  0.598312
2021-09-11 15:50:03.390729 : Epoch  6, Batch    734, Loss  0.855724, Average Loss  0.869881, Time  0.171115
2021-09-11 15:50:05.000679 : Epoch  6, Batch    735, Loss  0.852912, Average Loss  0.869795, Time  0.171390
2021-09-11 15:50:06.614913 : Epoch  6, Batch    736, Loss  0.874817, Average Loss  0.869927, Time  0.172775
2021-09-11 15:50:08.208193 : Epoch  6, Batch    737, Loss  0.898867, Average Loss  0.870160, Time  0.169854
2021-09-11 15:50:09.826903 : Epoch  6, Batch    738, Loss  0.869825, Average Loss  0.870168, Time  0.169910
2021-09-11 15:50:11.468937 : Epoch  6, Batch    739, Loss  0.846736, Average Loss  0.870057, Time  0.173841
2021-09-11 15:50:13.077729 : Epoch  6, Batch    740, Loss  0.870242, Average Loss  0.870100, Time  0.172082
2021-09-11 15:50:14.682037 : Epoch  6, Batch    741, Loss  0.861780, Average Loss  0.870043, Time  0.170063
2021-09-11 15:50:16.296017 : Epoch  6, Batch    742, Loss  0.851596, Average Loss  0.869953, Time  0.174896
2021-09-11 15:50:16.623032 : Epoch  6, Batch    478, Loss  0.877580, Average Loss  0.867847, Time  0.335855
2021-09-11 15:50:17.907731 : Epoch  6, Batch    743, Loss  0.866285, Average Loss  0.870037, Time  0.172107
2021-09-11 15:50:19.501795 : Epoch  6, Batch    744, Loss  0.857320, Average Loss  0.870074, Time  0.169683
2021-09-11 15:50:21.101808 : Epoch  6, Batch    745, Loss  0.833678, Average Loss  0.869695, Time  0.170273
2021-09-11 15:50:23.364265 : Epoch  6, Batch    479, Loss  0.871157, Average Loss  0.867848, Time  0.335237
2021-09-11 15:50:26.589455 : Epoch  6, Batch    480, Loss  0.874684, Average Loss  0.867957, Time  0.269145
2021-09-11 15:50:30.687172 : Epoch  6, Batch    481, Loss  0.863386, Average Loss  0.867957, Time  0.350577
2021-09-11 15:50:37.413397 : Epoch  6, Batch    482, Loss  0.869186, Average Loss  0.867960, Time  0.284765
2021-09-11 15:50:45.506864 : Epoch  6, Batch    483, Loss  0.872243, Average Loss  0.867928, Time  0.393396
2021-09-11 15:50:49.695414 : Epoch  6, Batch    484, Loss  0.862037, Average Loss  0.867915, Time  0.420908
2021-09-11 15:50:57.050449 : Epoch  6, Batch    485, Loss  0.863286, Average Loss  0.867823, Time  0.314991
2021-09-11 15:51:04.176979 : Epoch  6, Batch    486, Loss  0.862566, Average Loss  0.867794, Time  0.357007
2021-09-11 15:51:09.457049 : Epoch  6, Batch    487, Loss  0.859641, Average Loss  0.867674, Time  0.370522
2021-09-11 15:51:15.508890 : Epoch  6, Batch    488, Loss  0.875060, Average Loss  0.867659, Time  0.260432
2021-09-11 15:51:19.968056 : Epoch  6, Batch    489, Loss  0.874962, Average Loss  0.867622, Time  0.237610
2021-09-11 15:51:25.116301 : Epoch  6, Batch    490, Loss  0.842882, Average Loss  0.867570, Time  0.237473
2021-09-11 15:51:31.209056 : Epoch  6, Batch    491, Loss  0.877917, Average Loss  0.867565, Time  0.303161
2021-09-11 15:51:38.579087 : Epoch  6, Batch    492, Loss  0.864929, Average Loss  0.867523, Time  0.277146
2021-09-11 15:51:43.710874 : Epoch  6, Batch    493, Loss  0.867133, Average Loss  0.867511, Time  0.328958
2021-09-11 15:51:50.414942 : Epoch  6, Batch    494, Loss  0.866733, Average Loss  0.867591, Time  0.261508
2021-09-11 15:51:55.397388 : Epoch  6, Batch    495, Loss  0.872700, Average Loss  0.867631, Time  0.280700
2021-09-11 15:52:00.052779 : Epoch  6, Batch    496, Loss  0.866994, Average Loss  0.867511, Time  0.553362
2021-09-11 15:52:03.926497 : Epoch  6, Batch    497, Loss  0.861506, Average Loss  0.867582, Time  0.346740
2021-09-11 15:52:10.214439 : Epoch  6, Batch    498, Loss  0.866923, Average Loss  0.867617, Time  0.350355
2021-09-11 15:52:20.370441 : Epoch  6, Batch    499, Loss  0.860958, Average Loss  0.867577, Time  0.546574
2021-09-11 15:52:26.656444 : Epoch  6, Batch    500, Loss  0.863522, Average Loss  0.867475, Time  0.410365
2021-09-11 15:52:33.513463 : Epoch  6, Batch    501, Loss  0.859737, Average Loss  0.867368, Time  0.319455
2021-09-11 15:52:37.152999 : Epoch  6, Batch    502, Loss  0.851155, Average Loss  0.867240, Time  0.266821
2021-09-11 15:52:45.734432 : Epoch  6, Batch    503, Loss  0.874265, Average Loss  0.867304, Time  0.340750
2021-09-11 15:52:53.611916 : Epoch  6, Batch    504, Loss  0.848464, Average Loss  0.867125, Time  0.290984
2021-09-11 15:53:01.078429 : Epoch  6, Batch    505, Loss  0.847737, Average Loss  0.867070, Time  0.369846
2021-09-11 15:53:06.448443 : Epoch  6, Batch    506, Loss  0.850241, Average Loss  0.866971, Time  0.319232
2021-09-11 15:53:12.532971 : Epoch  6, Batch    507, Loss  0.902645, Average Loss  0.867121, Time  0.416890
2021-09-11 15:53:18.245913 : Epoch  6, Batch    508, Loss  0.883158, Average Loss  0.867170, Time  0.516572
2021-09-11 15:53:25.849208 : Epoch  6, Batch    509, Loss  0.870063, Average Loss  0.867164, Time  0.531424
2021-09-11 15:53:30.612396 : Epoch  6, Batch    510, Loss  0.857097, Average Loss  0.867126, Time  0.421532
2021-09-11 15:53:38.878009 : Epoch  6, Batch    511, Loss  0.881863, Average Loss  0.867268, Time  0.237966
2021-09-11 15:53:43.117434 : Epoch  6, Batch    512, Loss  0.869330, Average Loss  0.867170, Time  0.499069
2021-09-11 15:53:50.142884 : Epoch  6, Batch    513, Loss  0.873621, Average Loss  0.867170, Time  0.362550
2021-09-11 15:53:58.123895 : Epoch  6, Batch    514, Loss  0.880859, Average Loss  0.867205, Time  0.362647
2021-09-11 15:54:03.881975 : Epoch  6, Batch    515, Loss  0.880488, Average Loss  0.867330, Time  0.474003
2021-09-11 15:54:08.470006 : Epoch  6, Batch    516, Loss  0.885458, Average Loss  0.867372, Time  0.306356
2021-09-11 15:54:16.041927 : Epoch  6, Batch    517, Loss  0.899916, Average Loss  0.867626, Time  0.441560
2021-09-11 15:54:24.352831 : Epoch  6, Batch    518, Loss  0.882164, Average Loss  0.867657, Time  0.385525
2021-09-11 15:54:29.605253 : Epoch  6, Batch    519, Loss  0.876406, Average Loss  0.867638, Time  0.237791
2021-09-11 15:54:36.607892 : Epoch  6, Batch    520, Loss  0.867498, Average Loss  0.867620, Time  0.477552
2021-09-11 15:55:00.446223 : CheckPoint: Validation Loss  0.00060718, Best Loss  0.00057296
2021-09-11 15:55:02.069764 : Epoch  6, Batch    746, Loss  0.856849, Average Loss  0.869737, Time  0.177183
2021-09-11 15:55:03.678729 : Epoch  6, Batch    747, Loss  0.853617, Average Loss  0.869600, Time  0.170609
2021-09-11 15:55:05.271765 : Epoch  6, Batch    748, Loss  0.851550, Average Loss  0.869405, Time  0.170012
2021-09-11 15:55:06.870021 : Epoch  6, Batch    749, Loss  0.842743, Average Loss  0.869299, Time  0.171029
2021-09-11 15:55:08.470015 : Epoch  6, Batch    750, Loss  0.848259, Average Loss  0.869154, Time  0.179334
2021-09-11 15:55:10.067025 : Epoch  6, Batch    751, Loss  0.884052, Average Loss  0.869125, Time  0.177212
2021-09-11 15:55:11.667873 : Epoch  6, Batch    752, Loss  0.874815, Average Loss  0.869389, Time  0.170802
2021-09-11 15:55:13.275032 : Epoch  6, Batch    753, Loss  0.893664, Average Loss  0.869459, Time  0.173725
2021-09-11 15:55:14.892035 : Epoch  6, Batch    754, Loss  0.855455, Average Loss  0.869355, Time  0.170080
2021-09-11 15:55:16.511032 : Epoch  6, Batch    755, Loss  0.895733, Average Loss  0.869489, Time  0.171427
2021-09-11 15:55:18.112029 : Epoch  6, Batch    756, Loss  0.876409, Average Loss  0.869516, Time  0.174279
2021-09-11 15:55:19.712052 : Epoch  6, Batch    757, Loss  0.849987, Average Loss  0.869508, Time  0.172056
2021-09-11 15:55:21.302025 : Epoch  6, Batch    758, Loss  0.874822, Average Loss  0.869594, Time  0.172141
2021-09-11 15:55:22.890024 : Epoch  6, Batch    759, Loss  0.902142, Average Loss  0.869693, Time  0.179616
2021-09-11 15:55:24.534035 : Epoch  6, Batch    760, Loss  0.900081, Average Loss  0.869747, Time  0.180918
2021-09-11 15:55:26.140031 : Epoch  6, Batch    761, Loss  0.856069, Average Loss  0.869704, Time  0.179896
2021-09-11 15:55:27.740038 : Epoch  6, Batch    762, Loss  0.873822, Average Loss  0.869772, Time  0.182617
2021-09-11 15:55:29.344039 : Epoch  6, Batch    763, Loss  0.834299, Average Loss  0.869700, Time  0.170774
2021-09-11 15:55:30.957030 : Epoch  6, Batch    764, Loss  0.868015, Average Loss  0.869643, Time  0.170388
2021-09-11 15:55:32.569026 : Epoch  6, Batch    765, Loss  0.837880, Average Loss  0.869627, Time  0.175184
2021-09-11 15:55:34.184034 : Epoch  6, Batch    766, Loss  0.886635, Average Loss  0.869658, Time  0.175121
2021-09-11 15:55:35.777030 : Epoch  6, Batch    767, Loss  0.887991, Average Loss  0.869660, Time  0.170010
2021-09-11 15:55:37.406027 : Epoch  6, Batch    768, Loss  0.875547, Average Loss  0.869686, Time  0.175725
2021-09-11 15:55:38.986039 : Epoch  6, Batch    769, Loss  0.864825, Average Loss  0.869671, Time  0.171043
2021-09-11 15:55:40.616856 : Epoch  6, Batch    770, Loss  0.848372, Average Loss  0.869568, Time  0.176822
2021-09-11 15:55:42.247035 : Epoch  6, Batch    771, Loss  0.903707, Average Loss  0.869673, Time  0.179850
2021-09-11 15:55:43.853031 : Epoch  6, Batch    772, Loss  0.898293, Average Loss  0.869875, Time  0.174097
2021-09-11 15:55:45.472033 : Epoch  6, Batch    773, Loss  0.860301, Average Loss  0.869792, Time  0.170734
2021-09-11 15:55:47.089891 : Epoch  6, Batch    774, Loss  0.887962, Average Loss  0.869977, Time  0.180747
2021-09-11 15:55:48.684035 : Epoch  6, Batch    775, Loss  0.854221, Average Loss  0.869863, Time  0.170012
2021-09-11 15:55:50.269875 : Epoch  6, Batch    776, Loss  0.854961, Average Loss  0.869951, Time  0.171591
2021-09-11 15:55:51.844028 : Epoch  6, Batch    777, Loss  0.864303, Average Loss  0.869903, Time  0.170105
2021-09-11 15:55:53.432762 : Epoch  6, Batch    778, Loss  0.861057, Average Loss  0.870008, Time  0.172455
2021-09-11 15:55:55.029847 : Epoch  6, Batch    779, Loss  0.876331, Average Loss  0.870000, Time  0.172001
2021-09-11 15:55:56.628815 : Epoch  6, Batch    780, Loss  0.859751, Average Loss  0.869742, Time  0.169936
2021-09-11 15:55:58.226037 : Epoch  6, Batch    781, Loss  0.886599, Average Loss  0.869806, Time  0.171275
2021-09-11 15:55:59.830851 : Epoch  6, Batch    782, Loss  0.865256, Average Loss  0.869975, Time  0.172597
2021-09-11 15:56:01.474307 : Epoch  6, Batch    783, Loss  0.844020, Average Loss  0.869833, Time  0.173400
2021-09-11 15:56:03.070830 : Epoch  6, Batch    784, Loss  0.885358, Average Loss  0.869963, Time  0.172288
2021-09-11 15:56:04.691053 : Epoch  6, Batch    785, Loss  0.879150, Average Loss  0.869996, Time  0.174592
2021-09-11 15:56:06.279835 : Epoch  6, Batch    786, Loss  0.881924, Average Loss  0.870018, Time  0.173655
2021-09-11 15:56:07.861032 : Epoch  6, Batch    787, Loss  0.864469, Average Loss  0.869965, Time  0.176025
2021-09-11 15:56:09.447854 : Epoch  6, Batch    788, Loss  0.863201, Average Loss  0.869821, Time  0.170111
2021-09-11 15:56:11.050026 : Epoch  6, Batch    789, Loss  0.864628, Average Loss  0.869870, Time  0.171973
2021-09-11 15:56:12.635789 : Epoch  6, Batch    790, Loss  0.871084, Average Loss  0.869850, Time  0.174046
2021-09-11 15:56:14.260028 : Epoch  6, Batch    791, Loss  0.877544, Average Loss  0.869858, Time  0.173062
2021-09-11 15:56:15.850749 : Epoch  6, Batch    792, Loss  0.881957, Average Loss  0.869799, Time  0.173236
2021-09-11 15:56:17.429223 : Epoch  6, Batch    793, Loss  0.885812, Average Loss  0.869817, Time  0.170469
2021-09-11 15:56:19.007735 : Epoch  6, Batch    794, Loss  0.881007, Average Loss  0.869958, Time  0.173968
2021-09-11 15:56:20.590793 : Epoch  6, Batch    795, Loss  0.861982, Average Loss  0.869816, Time  0.170032
2021-09-11 15:56:22.204832 : Epoch  6, Batch    796, Loss  0.840141, Average Loss  0.869586, Time  0.176055
2021-09-11 15:56:23.796036 : Epoch  6, Batch    797, Loss  0.860290, Average Loss  0.869691, Time  0.172843
2021-09-11 15:56:25.381019 : Epoch  6, Batch    798, Loss  0.871319, Average Loss  0.869725, Time  0.173064
2021-09-11 15:56:26.987044 : Epoch  6, Batch    799, Loss  0.877253, Average Loss  0.869751, Time  0.170227
2021-09-11 15:56:28.574030 : Epoch  6, Batch    800, Loss  0.888711, Average Loss  0.869801, Time  0.170644
2021-09-11 15:56:30.175031 : Epoch  6, Batch    801, Loss  0.885392, Average Loss  0.869876, Time  0.179685
2021-09-11 15:56:31.771781 : Epoch  6, Batch    802, Loss  0.895995, Average Loss  0.869898, Time  0.169897
2021-09-11 15:56:33.358858 : Epoch  6, Batch    803, Loss  0.883530, Average Loss  0.870091, Time  0.174358
2021-09-11 15:56:34.932921 : Epoch  6, Batch    804, Loss  0.885614, Average Loss  0.870300, Time  0.170188
2021-09-11 15:56:36.535864 : Epoch  6, Batch    805, Loss  0.889299, Average Loss  0.870383, Time  0.174155
2021-09-11 15:56:38.112769 : Epoch  6, Batch    806, Loss  0.883187, Average Loss  0.870409, Time  0.171941
2021-09-11 15:56:39.713028 : Epoch  6, Batch    807, Loss  0.886295, Average Loss  0.870583, Time  0.175694
2021-09-11 15:56:41.344762 : Epoch  6, Batch    808, Loss  0.881320, Average Loss  0.870557, Time  0.169760
2021-09-11 15:56:42.967773 : Epoch  6, Batch    809, Loss  0.872958, Average Loss  0.870611, Time  0.174731
2021-09-11 15:56:44.571798 : Epoch  6, Batch    810, Loss  0.840357, Average Loss  0.870420, Time  0.170010
2021-09-11 15:56:46.186894 : Epoch  6, Batch    811, Loss  0.882361, Average Loss  0.870620, Time  0.179835
2021-09-11 15:56:47.800035 : Epoch  6, Batch    812, Loss  0.881606, Average Loss  0.870621, Time  0.171895
2021-09-11 15:56:49.404768 : Epoch  6, Batch    813, Loss  0.862061, Average Loss  0.870615, Time  0.170432
2021-09-11 15:56:51.012907 : Epoch  6, Batch    814, Loss  0.883481, Average Loss  0.870803, Time  0.171241
2021-09-11 15:56:52.583047 : Epoch  6, Batch    815, Loss  0.876883, Average Loss  0.870829, Time  0.169765
2021-09-11 15:56:54.152860 : Epoch  6, Batch    816, Loss  0.876776, Average Loss  0.870802, Time  0.172009
2021-09-11 15:56:55.764807 : Epoch  6, Batch    817, Loss  0.836481, Average Loss  0.870561, Time  0.171117
2021-09-11 15:56:57.376743 : Epoch  6, Batch    818, Loss  0.888884, Average Loss  0.870645, Time  0.170654
2021-09-11 15:56:58.960777 : Epoch  6, Batch    819, Loss  0.872551, Average Loss  0.870537, Time  0.170135
2021-09-11 15:57:00.560026 : Epoch  6, Batch    820, Loss  0.866846, Average Loss  0.870447, Time  0.170531
2021-09-11 15:57:02.192049 : Epoch  6, Batch    821, Loss  0.851550, Average Loss  0.870235, Time  0.170193
2021-09-11 15:57:03.812025 : Epoch  6, Batch    822, Loss  0.877662, Average Loss  0.870371, Time  0.189094
2021-09-11 15:57:05.409025 : Epoch  6, Batch    823, Loss  0.894999, Average Loss  0.870403, Time  0.172460
2021-09-11 15:57:07.024803 : Epoch  6, Batch    824, Loss  0.873476, Average Loss  0.870450, Time  0.185496
2021-09-11 15:57:08.653049 : Epoch  6, Batch    825, Loss  0.830149, Average Loss  0.870325, Time  0.175864
2021-09-11 15:57:10.249778 : Epoch  6, Batch    826, Loss  0.849667, Average Loss  0.870230, Time  0.172264
2021-09-11 15:57:11.861837 : Epoch  6, Batch    827, Loss  0.892292, Average Loss  0.870321, Time  0.170121
2021-09-11 15:57:13.462030 : Epoch  6, Batch    828, Loss  0.855832, Average Loss  0.870225, Time  0.169709
2021-09-11 15:57:15.057820 : Epoch  6, Batch    829, Loss  0.874032, Average Loss  0.870392, Time  0.172478
2021-09-11 15:57:16.652097 : Epoch  6, Batch    830, Loss  0.873298, Average Loss  0.870543, Time  0.177093
2021-09-11 15:57:18.282029 : Epoch  6, Batch    831, Loss  0.861352, Average Loss  0.870530, Time  0.176806
2021-09-11 15:57:19.865839 : Epoch  6, Batch    832, Loss  0.867977, Average Loss  0.870529, Time  0.182135
2021-09-11 15:57:21.447865 : Epoch  6, Batch    833, Loss  0.875546, Average Loss  0.870641, Time  0.170001
2021-09-11 15:57:23.031022 : Epoch  6, Batch    834, Loss  0.849252, Average Loss  0.870573, Time  0.178923
2021-09-11 15:57:24.611032 : Epoch  6, Batch    835, Loss  0.843032, Average Loss  0.870417, Time  0.170202
2021-09-11 15:57:26.200026 : Epoch  6, Batch    836, Loss  0.872438, Average Loss  0.870583, Time  0.175312
2021-09-11 15:57:27.817861 : Epoch  6, Batch    837, Loss  0.888371, Average Loss  0.870629, Time  0.173683
2021-09-11 15:57:29.406031 : Epoch  6, Batch    838, Loss  0.866956, Average Loss  0.870718, Time  0.173058
2021-09-11 15:57:30.997013 : Epoch  6, Batch    839, Loss  0.888229, Average Loss  0.870798, Time  0.171879
2021-09-11 15:57:32.613745 : Epoch  6, Batch    840, Loss  0.860358, Average Loss  0.870553, Time  0.170189
2021-09-11 15:57:34.214035 : Epoch  6, Batch    841, Loss  0.870070, Average Loss  0.870677, Time  0.170102
2021-09-11 15:57:35.803025 : Epoch  6, Batch    842, Loss  0.856613, Average Loss  0.870631, Time  0.169986
2021-09-11 15:57:37.397768 : Epoch  6, Batch    843, Loss  0.848270, Average Loss  0.870568, Time  0.178792
2021-09-11 15:57:38.998028 : Epoch  6, Batch    844, Loss  0.866598, Average Loss  0.870558, Time  0.175775
2021-09-11 15:57:40.613797 : Epoch  6, Batch    845, Loss  0.854620, Average Loss  0.870585, Time  0.176018
2021-09-11 16:02:21.047081 : CheckPoint: Validation Loss  0.00061495, Best Loss  0.00057296
2021-09-11 16:02:22.668964 : Epoch  6, Batch    846, Loss  0.870998, Average Loss  0.870542, Time  0.180982
2021-09-11 16:02:24.271821 : Epoch  6, Batch    847, Loss  0.884306, Average Loss  0.870661, Time  0.174886
2021-09-11 16:02:25.882012 : Epoch  6, Batch    848, Loss  0.861782, Average Loss  0.870626, Time  0.170235
2021-09-11 16:02:27.480015 : Epoch  6, Batch    849, Loss  0.884439, Average Loss  0.870715, Time  0.170258
2021-09-11 16:02:29.079001 : Epoch  6, Batch    850, Loss  0.866655, Average Loss  0.870620, Time  0.171020
2021-09-11 16:02:30.679020 : Epoch  6, Batch    851, Loss  0.873989, Average Loss  0.870582, Time  0.169953
2021-09-11 16:02:32.285766 : Epoch  6, Batch    852, Loss  0.872947, Average Loss  0.870526, Time  0.170135
2021-09-11 16:02:33.887023 : Epoch  6, Batch    853, Loss  0.889373, Average Loss  0.870657, Time  0.172375
2021-09-11 16:02:35.491876 : Epoch  6, Batch    854, Loss  0.840832, Average Loss  0.870580, Time  0.172811
2021-09-11 16:02:37.079007 : Epoch  6, Batch    855, Loss  0.910041, Average Loss  0.870900, Time  0.169888
2021-09-11 16:02:38.677979 : Epoch  6, Batch    856, Loss  0.881192, Average Loss  0.870924, Time  0.169578
2021-09-11 16:02:40.267003 : Epoch  6, Batch    857, Loss  0.847941, Average Loss  0.870898, Time  0.169857
2021-09-11 16:02:41.861928 : Epoch  6, Batch    858, Loss  0.900593, Average Loss  0.870953, Time  0.169969
2021-09-11 16:02:43.463852 : Epoch  6, Batch    859, Loss  0.860724, Average Loss  0.870907, Time  0.169953
2021-09-11 16:02:45.059757 : Epoch  6, Batch    860, Loss  0.896532, Average Loss  0.871037, Time  0.172263
2021-09-11 16:02:46.657001 : Epoch  6, Batch    861, Loss  0.865234, Average Loss  0.870864, Time  0.169821
2021-09-11 16:02:48.257033 : Epoch  6, Batch    862, Loss  0.905830, Average Loss  0.871059, Time  0.170082
2021-09-11 16:02:49.853878 : Epoch  6, Batch    863, Loss  0.872472, Average Loss  0.871005, Time  0.170025
2021-09-11 16:02:51.439996 : Epoch  6, Batch    864, Loss  0.856907, Average Loss  0.870781, Time  0.169976
2021-09-11 16:02:53.034007 : Epoch  6, Batch    865, Loss  0.905915, Average Loss  0.870901, Time  0.169731
2021-09-11 16:02:54.659019 : Epoch  6, Batch    866, Loss  0.866937, Average Loss  0.870906, Time  0.173103
2021-09-11 16:02:56.259041 : Epoch  6, Batch    867, Loss  0.875064, Average Loss  0.870979, Time  0.171159
2021-09-11 16:02:57.860992 : Epoch  6, Batch    868, Loss  0.868746, Average Loss  0.870982, Time  0.169844
2021-09-11 16:02:59.446803 : Epoch  6, Batch    869, Loss  0.869846, Average Loss  0.870947, Time  0.169881
2021-09-11 16:03:01.064877 : Epoch  6, Batch    870, Loss  0.867940, Average Loss  0.870961, Time  0.179982
2021-09-11 16:03:02.656901 : Epoch  6, Batch    871, Loss  0.849144, Average Loss  0.870820, Time  0.170034
2021-09-11 16:03:04.256742 : Epoch  6, Batch    872, Loss  0.869794, Average Loss  0.870730, Time  0.169956
2021-09-11 16:03:05.843775 : Epoch  6, Batch    873, Loss  0.874489, Average Loss  0.870761, Time  0.169698
2021-09-11 16:03:07.458829 : Epoch  6, Batch    874, Loss  0.855688, Average Loss  0.870770, Time  0.169602
2021-09-11 16:03:09.064822 : Epoch  6, Batch    875, Loss  0.899463, Average Loss  0.870996, Time  0.169837
2021-09-11 16:03:10.667001 : Epoch  6, Batch    876, Loss  0.871690, Average Loss  0.870921, Time  0.169784
2021-09-11 16:03:12.261930 : Epoch  6, Batch    877, Loss  0.876932, Average Loss  0.870957, Time  0.169814
2021-09-11 16:03:13.867875 : Epoch  6, Batch    878, Loss  0.864078, Average Loss  0.871129, Time  0.170768
2021-09-11 16:03:15.474796 : Epoch  6, Batch    879, Loss  0.882654, Average Loss  0.871196, Time  0.169765
2021-09-11 16:03:17.074862 : Epoch  6, Batch    880, Loss  0.880233, Average Loss  0.871347, Time  0.169640
2021-09-11 16:03:18.660789 : Epoch  6, Batch    881, Loss  0.862174, Average Loss  0.871242, Time  0.169938
2021-09-11 16:03:20.246831 : Epoch  6, Batch    882, Loss  0.858647, Average Loss  0.871253, Time  0.170001
2021-09-11 16:03:21.882788 : Epoch  6, Batch    883, Loss  0.857900, Average Loss  0.871149, Time  0.169708
2021-09-11 16:03:23.496773 : Epoch  6, Batch    884, Loss  0.862696, Average Loss  0.870953, Time  0.170075
2021-09-11 16:03:25.098753 : Epoch  6, Batch    885, Loss  0.871055, Average Loss  0.871048, Time  0.169593
2021-09-11 16:03:26.685885 : Epoch  6, Batch    886, Loss  0.891983, Average Loss  0.871165, Time  0.169611
2021-09-11 16:03:28.277755 : Epoch  6, Batch    887, Loss  0.851621, Average Loss  0.871037, Time  0.169935
2021-09-11 16:03:29.873781 : Epoch  6, Batch    888, Loss  0.873412, Average Loss  0.871122, Time  0.171969
2021-09-11 16:03:31.476781 : Epoch  6, Batch    889, Loss  0.871932, Average Loss  0.871041, Time  0.173065
2021-09-11 16:03:33.071767 : Epoch  6, Batch    890, Loss  0.844845, Average Loss  0.870969, Time  0.169958
2021-09-11 16:03:34.680872 : Epoch  6, Batch    891, Loss  0.870103, Average Loss  0.870945, Time  0.170133
2021-09-11 16:03:36.258841 : Epoch  6, Batch    892, Loss  0.844930, Average Loss  0.870759, Time  0.170799
2021-09-11 16:03:37.836705 : Epoch  6, Batch    893, Loss  0.841863, Average Loss  0.870763, Time  0.169949
2021-09-11 16:03:39.419994 : Epoch  6, Batch    894, Loss  0.841596, Average Loss  0.870562, Time  0.169701
2021-09-11 16:03:41.019768 : Epoch  6, Batch    895, Loss  0.861624, Average Loss  0.870518, Time  0.169919
2021-09-11 16:03:42.632998 : Epoch  6, Batch    896, Loss  0.875816, Average Loss  0.870581, Time  0.169693
2021-09-11 16:03:44.253831 : Epoch  6, Batch    897, Loss  0.853572, Average Loss  0.870407, Time  0.170061
2021-09-11 16:03:45.860990 : Epoch  6, Batch    898, Loss  0.854986, Average Loss  0.870072, Time  0.169943
2021-09-11 16:03:47.444801 : Epoch  6, Batch    899, Loss  0.878266, Average Loss  0.870071, Time  0.170065
2021-09-11 16:03:49.045012 : Epoch  6, Batch    900, Loss  0.865069, Average Loss  0.870012, Time  0.169754
2021-09-11 16:03:50.628031 : Epoch  6, Batch    901, Loss  0.850373, Average Loss  0.869994, Time  0.170084
2021-09-11 16:03:52.262818 : Epoch  6, Batch    902, Loss  0.882618, Average Loss  0.870093, Time  0.184173
2021-09-11 16:03:53.866825 : Epoch  6, Batch    903, Loss  0.869953, Average Loss  0.870018, Time  0.170089
2021-09-11 16:03:55.471734 : Epoch  6, Batch    904, Loss  0.886687, Average Loss  0.870000, Time  0.169970
2021-09-11 16:03:57.085748 : Epoch  6, Batch    905, Loss  0.848540, Average Loss  0.869827, Time  0.173299
2021-09-11 16:03:58.696020 : Epoch  6, Batch    906, Loss  0.881862, Average Loss  0.869950, Time  0.170228
2021-09-11 16:04:00.299029 : Epoch  6, Batch    907, Loss  0.868096, Average Loss  0.869803, Time  0.173670
2021-09-11 16:04:01.884766 : Epoch  6, Batch    908, Loss  0.891967, Average Loss  0.870061, Time  0.170200
2021-09-11 16:04:03.481033 : Epoch  6, Batch    909, Loss  0.897178, Average Loss  0.870146, Time  0.172896
2021-09-11 16:04:05.074786 : Epoch  6, Batch    910, Loss  0.881326, Average Loss  0.870211, Time  0.173772
2021-09-11 16:04:06.691041 : Epoch  6, Batch    911, Loss  0.868506, Average Loss  0.870000, Time  0.171892
2021-09-11 16:04:08.301022 : Epoch  6, Batch    912, Loss  0.880831, Average Loss  0.870072, Time  0.173216
2021-09-11 16:04:09.883039 : Epoch  6, Batch    913, Loss  0.848186, Average Loss  0.869902, Time  0.172423
2021-09-11 16:04:11.470796 : Epoch  6, Batch    914, Loss  0.832944, Average Loss  0.869748, Time  0.170000
2021-09-11 16:04:13.052907 : Epoch  6, Batch    915, Loss  0.889933, Average Loss  0.869847, Time  0.172045
2021-09-11 16:04:14.636866 : Epoch  6, Batch    916, Loss  0.837155, Average Loss  0.869629, Time  0.171908
2021-09-11 16:04:16.223745 : Epoch  6, Batch    917, Loss  0.877065, Average Loss  0.869811, Time  0.170258
2021-09-11 16:04:17.821220 : Epoch  6, Batch    918, Loss  0.859255, Average Loss  0.869847, Time  0.169666
2021-09-11 16:04:19.407836 : Epoch  6, Batch    919, Loss  0.826135, Average Loss  0.869675, Time  0.169629
2021-09-11 16:04:20.985801 : Epoch  6, Batch    920, Loss  0.866417, Average Loss  0.869732, Time  0.169982
2021-09-11 16:04:22.580773 : Epoch  6, Batch    921, Loss  0.866092, Average Loss  0.869764, Time  0.169543
2021-09-11 16:04:24.157998 : Epoch  6, Batch    922, Loss  0.849616, Average Loss  0.869641, Time  0.169794
2021-09-11 16:04:25.745758 : Epoch  6, Batch    923, Loss  0.862540, Average Loss  0.869621, Time  0.172206
2021-09-11 16:04:27.327875 : Epoch  6, Batch    924, Loss  0.843240, Average Loss  0.869461, Time  0.169656
2021-09-11 16:04:28.914988 : Epoch  6, Batch    925, Loss  0.843730, Average Loss  0.869407, Time  0.169863
2021-09-11 16:04:30.132758 : CheckPoint: Validation Loss  0.00030422, Best Loss  0.00029019
2021-09-11 16:04:30.496988 : Epoch  6, Batch    926, Loss  0.838799, Average Loss  0.869222, Time  0.169984
2021-09-11 16:04:32.103007 : Epoch  6, Batch    927, Loss  0.875153, Average Loss  0.869201, Time  0.172364
2021-09-11 16:04:33.710987 : Epoch  6, Batch    928, Loss  0.868713, Average Loss  0.869174, Time  0.169746
2021-09-11 16:04:35.317984 : Epoch  6, Batch    929, Loss  0.852119, Average Loss  0.868966, Time  0.169579
2021-09-11 16:04:36.928837 : Epoch  6, Batch    930, Loss  0.882545, Average Loss  0.869066, Time  0.170091
2021-09-11 16:04:37.355100 : Epoch  6, Batch    521, Loss  0.864672, Average Loss  0.867601, Time  0.373141
2021-09-11 16:04:38.523827 : Epoch  6, Batch    931, Loss  0.859373, Average Loss  0.868938, Time  0.169781
2021-09-11 16:04:40.145768 : Epoch  6, Batch    932, Loss  0.841606, Average Loss  0.868654, Time  0.169873
2021-09-11 16:04:41.757002 : Epoch  6, Batch    933, Loss  0.879621, Average Loss  0.868621, Time  0.169690
2021-09-11 16:04:43.196371 : Epoch  6, Batch    522, Loss  0.875419, Average Loss  0.867663, Time  0.377125
2021-09-11 16:04:43.350810 : Epoch  6, Batch    934, Loss  0.856325, Average Loss  0.868624, Time  0.169913
2021-09-11 16:04:44.943763 : Epoch  6, Batch    935, Loss  0.859040, Average Loss  0.868655, Time  0.169890
2021-09-11 16:04:46.547762 : Epoch  6, Batch    936, Loss  0.898187, Average Loss  0.868771, Time  0.170010
2021-09-11 16:04:47.915878 : Epoch  6, Batch    523, Loss  0.865817, Average Loss  0.867678, Time  0.266112
2021-09-11 16:04:48.150909 : Epoch  6, Batch    937, Loss  0.855078, Average Loss  0.868553, Time  0.169921
2021-09-11 16:04:49.764820 : Epoch  6, Batch    938, Loss  0.857422, Average Loss  0.868490, Time  0.170146
2021-09-11 16:04:51.362824 : Epoch  6, Batch    939, Loss  0.874131, Average Loss  0.868627, Time  0.169732
2021-09-11 16:04:52.975747 : Epoch  6, Batch    940, Loss  0.861318, Average Loss  0.868583, Time  0.169934
2021-09-11 16:04:53.969878 : Epoch  6, Batch    524, Loss  0.844980, Average Loss  0.867578, Time  0.301381
2021-09-11 16:04:54.575731 : Epoch  6, Batch    941, Loss  0.889834, Average Loss  0.868723, Time  0.169771
2021-09-11 16:04:56.196824 : Epoch  6, Batch    942, Loss  0.848937, Average Loss  0.868710, Time  0.170618
2021-09-11 16:04:57.652182 : Epoch  6, Batch    525, Loss  0.870816, Average Loss  0.867642, Time  0.288916
2021-09-11 16:04:57.800815 : Epoch  6, Batch    943, Loss  0.864447, Average Loss  0.868701, Time  0.170001
2021-09-11 16:04:59.402775 : Epoch  6, Batch    944, Loss  0.870929, Average Loss  0.868769, Time  0.169984
2021-09-11 16:05:00.511380 : Epoch  6, Batch    526, Loss  0.855451, Average Loss  0.867766, Time  0.269113
2021-09-11 16:05:01.014049 : Epoch  6, Batch    945, Loss  0.874160, Average Loss  0.868971, Time  0.171185
2021-09-11 16:05:04.968176 : Epoch  6, Batch    527, Loss  0.850326, Average Loss  0.867657, Time  0.295180
2021-09-11 16:05:08.196695 : Epoch  6, Batch    528, Loss  0.877859, Average Loss  0.867749, Time  0.356727
2021-09-11 16:05:14.514045 : Epoch  6, Batch    529, Loss  0.865161, Average Loss  0.867831, Time  0.237546
2021-09-11 16:05:22.614391 : Epoch  6, Batch    530, Loss  0.865327, Average Loss  0.867830, Time  0.357701
2021-09-11 16:05:29.613968 : Epoch  6, Batch    531, Loss  0.861262, Average Loss  0.867880, Time  0.412595
2021-09-11 16:05:36.785901 : Epoch  6, Batch    532, Loss  0.869204, Average Loss  0.867827, Time  0.324810
2021-09-11 16:05:43.423387 : Epoch  6, Batch    533, Loss  0.851181, Average Loss  0.867663, Time  0.283622
2021-09-11 16:05:47.590266 : Epoch  6, Batch    534, Loss  0.871051, Average Loss  0.867688, Time  0.351533
2021-09-11 16:05:54.528895 : Epoch  6, Batch    535, Loss  0.883880, Average Loss  0.867722, Time  0.386378
2021-09-11 16:05:57.873398 : Epoch  6, Batch    536, Loss  0.836391, Average Loss  0.867522, Time  0.262159
2021-09-11 16:06:04.436975 : Epoch  6, Batch    537, Loss  0.885248, Average Loss  0.867539, Time  0.336417
2021-09-11 16:06:09.463723 : Epoch  6, Batch    538, Loss  0.852221, Average Loss  0.867620, Time  0.284165
2021-09-11 16:06:17.462503 : Epoch  6, Batch    539, Loss  0.873452, Average Loss  0.867641, Time  0.488203
2021-09-11 16:06:21.111361 : Epoch  6, Batch    540, Loss  0.881560, Average Loss  0.867813, Time  0.331645
2021-09-11 16:06:26.626842 : Epoch  6, Batch    541, Loss  0.867699, Average Loss  0.867839, Time  0.376503
2021-09-11 16:06:32.538413 : Epoch  6, Batch    542, Loss  0.853266, Average Loss  0.867878, Time  0.330035
2021-09-11 16:06:41.405566 : Epoch  6, Batch    543, Loss  0.860446, Average Loss  0.867798, Time  0.343475
2021-09-11 16:06:47.479348 : Epoch  6, Batch    544, Loss  0.844129, Average Loss  0.867723, Time  0.256619
2021-09-11 16:06:55.644905 : Epoch  6, Batch    545, Loss  0.858910, Average Loss  0.867708, Time  0.369367
2021-09-11 16:07:04.762835 : Epoch  6, Batch    546, Loss  0.884010, Average Loss  0.867842, Time  0.323905
2021-09-11 16:07:11.196868 : Epoch  6, Batch    547, Loss  0.878630, Average Loss  0.867906, Time  0.444157
2021-09-11 16:07:19.837035 : Epoch  6, Batch    548, Loss  0.887162, Average Loss  0.868023, Time  0.358204
2021-09-11 16:07:28.466039 : Epoch  6, Batch    549, Loss  0.864123, Average Loss  0.868059, Time  0.459149
2021-09-11 16:07:34.206465 : Epoch  6, Batch    550, Loss  0.858448, Average Loss  0.867969, Time  0.296449
2021-09-11 16:07:43.214244 : Epoch  6, Batch    551, Loss  0.891436, Average Loss  0.867922, Time  0.480027
2021-09-11 16:07:48.240403 : Epoch  6, Batch    552, Loss  0.871385, Average Loss  0.867950, Time  0.273583
2021-09-11 16:07:56.237959 : Epoch  6, Batch    553, Loss  0.857384, Average Loss  0.867955, Time  0.531515
2021-09-11 16:08:01.000967 : Epoch  6, Batch    554, Loss  0.846893, Average Loss  0.867915, Time  0.286503
2021-09-11 16:08:07.789092 : Epoch  6, Batch    555, Loss  0.868227, Average Loss  0.867864, Time  0.360329
2021-09-11 16:08:16.518391 : Epoch  6, Batch    556, Loss  0.889844, Average Loss  0.867922, Time  0.247603
2021-09-11 16:08:21.583843 : Epoch  6, Batch    557, Loss  0.870211, Average Loss  0.867962, Time  0.392962
2021-09-11 16:08:27.549948 : Epoch  6, Batch    558, Loss  0.883351, Average Loss  0.868054, Time  0.396137
2021-09-11 16:08:33.658853 : Epoch  6, Batch    559, Loss  0.866261, Average Loss  0.868111, Time  0.357898
2021-09-11 16:08:39.887216 : Epoch  6, Batch    560, Loss  0.866102, Average Loss  0.868173, Time  0.237514
2021-09-11 16:08:45.069968 : Epoch  6, Batch    561, Loss  0.877880, Average Loss  0.868215, Time  0.400293
2021-09-11 16:08:48.749440 : Epoch  6, Batch    562, Loss  0.855165, Average Loss  0.868158, Time  0.387226
2021-09-11 16:08:53.621858 : Epoch  6, Batch    563, Loss  0.864479, Average Loss  0.868221, Time  0.298414
2021-09-11 16:09:00.525844 : Epoch  6, Batch    564, Loss  0.894953, Average Loss  0.868405, Time  0.238110
2021-09-11 16:09:06.296191 : Epoch  6, Batch    565, Loss  0.854126, Average Loss  0.868354, Time  0.407440
2021-09-11 16:09:12.230920 : Epoch  6, Batch    566, Loss  0.862482, Average Loss  0.868293, Time  0.299736
2021-09-11 16:09:17.042158 : Epoch  6, Batch    567, Loss  0.894050, Average Loss  0.868362, Time  0.284210
2021-09-11 16:09:23.946429 : Epoch  6, Batch    568, Loss  0.842172, Average Loss  0.868252, Time  0.294185
2021-09-11 16:09:30.373379 : Epoch  6, Batch    569, Loss  0.891736, Average Loss  0.868270, Time  0.237633
2021-09-11 16:09:37.839931 : Epoch  6, Batch    570, Loss  0.871353, Average Loss  0.868315, Time  0.326615
2021-09-11 16:09:42.113715 : CheckPoint: Validation Loss  0.00059666, Best Loss  0.00057296
2021-09-11 16:09:43.734857 : Epoch  6, Batch    946, Loss  0.819487, Average Loss  0.868784, Time  0.179494
2021-09-11 16:09:43.853377 : Epoch  6, Batch    571, Loss  0.851967, Average Loss  0.868190, Time  0.270787
2021-09-11 16:09:45.387008 : Epoch  6, Batch    947, Loss  0.890363, Average Loss  0.868968, Time  0.170515
2021-09-11 16:09:46.982736 : Epoch  6, Batch    948, Loss  0.861013, Average Loss  0.869015, Time  0.174339
2021-09-11 16:09:48.597018 : Epoch  6, Batch    949, Loss  0.876314, Average Loss  0.869183, Time  0.172074
2021-09-11 16:09:48.945917 : Epoch  6, Batch    572, Loss  0.876321, Average Loss  0.868348, Time  0.412675
2021-09-11 16:09:50.216766 : Epoch  6, Batch    950, Loss  0.859704, Average Loss  0.869240, Time  0.174494
2021-09-11 16:09:51.817877 : Epoch  6, Batch    951, Loss  0.890856, Average Loss  0.869274, Time  0.174970
2021-09-11 16:09:53.434813 : Epoch  6, Batch    952, Loss  0.836028, Average Loss  0.869080, Time  0.180354
2021-09-11 16:09:55.017906 : Epoch  6, Batch    573, Loss  0.888137, Average Loss  0.868329, Time  0.373467
2021-09-11 16:09:55.053768 : Epoch  6, Batch    953, Loss  0.856116, Average Loss  0.868893, Time  0.170091
2021-09-11 16:09:56.670828 : Epoch  6, Batch    954, Loss  0.852137, Average Loss  0.868876, Time  0.169684
2021-09-11 16:09:58.267849 : Epoch  6, Batch    955, Loss  0.876357, Average Loss  0.868779, Time  0.169941
2021-09-11 16:09:59.882807 : Epoch  6, Batch    956, Loss  0.848619, Average Loss  0.868640, Time  0.170289
2021-09-11 16:10:01.513744 : Epoch  6, Batch    957, Loss  0.881379, Average Loss  0.868797, Time  0.172366
2021-09-11 16:10:03.121002 : Epoch  6, Batch    958, Loss  0.838212, Average Loss  0.868614, Time  0.169898
2021-09-11 16:10:03.156036 : Epoch  6, Batch    574, Loss  0.852712, Average Loss  0.868345, Time  0.416532
2021-09-11 16:10:04.732767 : Epoch  6, Batch    959, Loss  0.867672, Average Loss  0.868442, Time  0.169573
2021-09-11 16:10:06.326857 : Epoch  6, Batch    960, Loss  0.848458, Average Loss  0.868184, Time  0.169729
2021-09-11 16:10:07.651963 : Epoch  6, Batch    575, Loss  0.859420, Average Loss  0.868239, Time  0.282398
2021-09-11 16:10:07.929011 : Epoch  6, Batch    961, Loss  0.881906, Average Loss  0.868313, Time  0.170025
2021-09-11 16:10:09.529795 : Epoch  6, Batch    962, Loss  0.860699, Average Loss  0.868247, Time  0.169714
2021-09-11 16:10:11.141791 : Epoch  6, Batch    963, Loss  0.848703, Average Loss  0.868319, Time  0.169798
2021-09-11 16:10:12.743990 : Epoch  6, Batch    964, Loss  0.886128, Average Loss  0.868410, Time  0.169501
2021-09-11 16:10:14.151111 : Epoch  6, Batch    576, Loss  0.860771, Average Loss  0.868173, Time  0.446097
2021-09-11 16:10:14.352003 : Epoch  6, Batch    965, Loss  0.870254, Average Loss  0.868572, Time  0.169883
2021-09-11 16:10:15.950983 : Epoch  6, Batch    966, Loss  0.838729, Average Loss  0.868332, Time  0.169524
2021-09-11 16:10:17.566983 : Epoch  6, Batch    967, Loss  0.879791, Average Loss  0.868291, Time  0.172040
2021-09-11 16:10:19.189987 : Epoch  6, Batch    968, Loss  0.851281, Average Loss  0.868170, Time  0.170046
2021-09-11 16:10:20.798893 : Epoch  6, Batch    969, Loss  0.865117, Average Loss  0.868171, Time  0.172219
2021-09-11 16:10:21.632423 : Epoch  6, Batch    577, Loss  0.867618, Average Loss  0.868157, Time  0.237062
2021-09-11 16:10:22.410005 : Epoch  6, Batch    970, Loss  0.873622, Average Loss  0.868298, Time  0.170017
2021-09-11 16:10:24.024996 : Epoch  6, Batch    971, Loss  0.884599, Average Loss  0.868202, Time  0.169500
2021-09-11 16:10:25.027437 : Epoch  6, Batch    578, Loss  0.869998, Average Loss  0.868173, Time  0.321066
2021-09-11 16:10:25.627806 : Epoch  6, Batch    972, Loss  0.807379, Average Loss  0.867748, Time  0.169736
2021-09-11 16:10:27.237761 : Epoch  6, Batch    973, Loss  0.863954, Average Loss  0.867766, Time  0.170282
2021-09-11 16:10:28.846002 : Epoch  6, Batch    974, Loss  0.873338, Average Loss  0.867693, Time  0.169700
2021-09-11 16:10:30.460758 : Epoch  6, Batch    975, Loss  0.869035, Average Loss  0.867767, Time  0.170138
2021-09-11 16:10:31.067045 : Epoch  6, Batch    579, Loss  0.869485, Average Loss  0.868160, Time  0.312388
2021-09-11 16:10:32.063981 : Epoch  6, Batch    976, Loss  0.868424, Average Loss  0.867834, Time  0.169755
2021-09-11 16:10:33.667032 : Epoch  6, Batch    977, Loss  0.873901, Average Loss  0.867882, Time  0.174877
2021-09-11 16:10:35.277033 : Epoch  6, Batch    978, Loss  0.874688, Average Loss  0.867950, Time  0.176018
2021-09-11 16:10:36.511429 : Epoch  6, Batch    580, Loss  0.871661, Average Loss  0.868108, Time  0.329523
2021-09-11 16:10:36.905019 : Epoch  6, Batch    979, Loss  0.848946, Average Loss  0.867813, Time  0.172508
2021-09-11 16:10:38.504073 : Epoch  6, Batch    980, Loss  0.854700, Average Loss  0.867788, Time  0.170636
2021-09-11 16:10:40.097901 : Epoch  6, Batch    981, Loss  0.861577, Average Loss  0.867663, Time  0.174884
2021-09-11 16:10:41.711748 : Epoch  6, Batch    982, Loss  0.892712, Average Loss  0.867800, Time  0.170625
2021-09-11 16:10:43.326817 : Epoch  6, Batch    983, Loss  0.861649, Average Loss  0.867888, Time  0.172715
2021-09-11 16:10:44.882867 : Epoch  6, Batch    581, Loss  0.865280, Average Loss  0.868077, Time  0.451715
2021-09-11 16:10:44.931803 : Epoch  6, Batch    984, Loss  0.858309, Average Loss  0.867753, Time  0.169715
2021-09-11 16:10:46.535752 : Epoch  6, Batch    985, Loss  0.879767, Average Loss  0.867756, Time  0.169914
2021-09-11 16:10:48.134992 : Epoch  6, Batch    986, Loss  0.853637, Average Loss  0.867615, Time  0.169932
2021-09-11 16:10:49.740003 : Epoch  6, Batch    987, Loss  0.900124, Average Loss  0.867793, Time  0.170163
2021-09-11 16:10:51.340991 : Epoch  6, Batch    988, Loss  0.871596, Average Loss  0.867835, Time  0.169713
2021-09-11 16:10:52.455054 : Epoch  6, Batch    582, Loss  0.854610, Average Loss  0.868014, Time  0.341260
2021-09-11 16:10:52.955817 : Epoch  6, Batch    989, Loss  0.855029, Average Loss  0.867787, Time  0.169620
2021-09-11 16:10:54.559997 : Epoch  6, Batch    990, Loss  0.872782, Average Loss  0.867795, Time  0.169803
2021-09-11 16:10:56.165007 : Epoch  6, Batch    991, Loss  0.828015, Average Loss  0.867548, Time  0.172146
2021-09-11 16:10:57.197392 : Epoch  6, Batch    583, Loss  0.847028, Average Loss  0.867899, Time  0.271353
2021-09-11 16:10:57.762996 : Epoch  6, Batch    992, Loss  0.891048, Average Loss  0.867593, Time  0.169823
2021-09-11 16:10:59.380010 : Epoch  6, Batch    993, Loss  0.847769, Average Loss  0.867403, Time  0.170039
2021-09-11 16:11:01.001746 : Epoch  6, Batch    994, Loss  0.840405, Average Loss  0.867200, Time  0.170403
2021-09-11 16:11:02.599003 : Epoch  6, Batch    995, Loss  0.851543, Average Loss  0.867148, Time  0.169561
2021-09-11 16:11:04.150066 : Epoch  6, Batch    584, Loss  0.860424, Average Loss  0.867833, Time  0.353818
2021-09-11 16:11:04.198827 : Epoch  6, Batch    996, Loss  0.901880, Average Loss  0.867457, Time  0.169506
2021-09-11 16:11:05.819001 : Epoch  6, Batch    997, Loss  0.886373, Average Loss  0.867587, Time  0.169939
2021-09-11 16:11:07.238028 : Epoch  6, Batch    585, Loss  0.856162, Average Loss  0.867768, Time  0.237728
2021-09-11 16:11:07.435001 : Epoch  6, Batch    998, Loss  0.862620, Average Loss  0.867543, Time  0.169919
2021-09-11 16:11:09.038824 : Epoch  6, Batch    999, Loss  0.890113, Average Loss  0.867608, Time  0.169911
2021-09-11 16:11:10.645995 : Epoch  6, Batch   1000, Loss  0.863601, Average Loss  0.867482, Time  0.169873
2021-09-11 16:11:12.254828 : Epoch  6, Batch   1001, Loss  0.888746, Average Loss  0.867499, Time  0.169698
2021-09-11 16:11:12.930935 : Epoch  6, Batch    586, Loss  0.855410, Average Loss  0.867683, Time  0.270122
2021-09-11 16:11:13.857819 : Epoch  6, Batch   1002, Loss  0.856585, Average Loss  0.867302, Time  0.169916
2021-09-11 16:11:15.454793 : Epoch  6, Batch   1003, Loss  0.855601, Average Loss  0.867162, Time  0.172433
2021-09-11 16:11:17.050840 : Epoch  6, Batch   1004, Loss  0.864986, Average Loss  0.867059, Time  0.169549
2021-09-11 16:11:18.636852 : Epoch  6, Batch   1005, Loss  0.859622, Average Loss  0.866911, Time  0.169914
2021-09-11 16:11:20.211992 : Epoch  6, Batch   1006, Loss  0.876888, Average Loss  0.866879, Time  0.169781
2021-09-11 16:11:20.523967 : Epoch  6, Batch    587, Loss  0.872281, Average Loss  0.867737, Time  0.528580
2021-09-11 16:11:21.804742 : Epoch  6, Batch   1007, Loss  0.876392, Average Loss  0.866830, Time  0.169802
2021-09-11 16:11:23.403744 : Epoch  6, Batch   1008, Loss  0.896589, Average Loss  0.866906, Time  0.169958
2021-09-11 16:11:24.989992 : Epoch  6, Batch   1009, Loss  0.856693, Average Loss  0.866825, Time  0.169589
2021-09-11 16:11:26.610985 : Epoch  6, Batch   1010, Loss  0.852857, Average Loss  0.866887, Time  0.169661
2021-09-11 16:11:26.657362 : Epoch  6, Batch    588, Loss  0.866595, Average Loss  0.867718, Time  0.412357
2021-09-11 16:11:28.220820 : Epoch  6, Batch   1011, Loss  0.872920, Average Loss  0.866840, Time  0.169676
2021-09-11 16:11:29.845987 : Epoch  6, Batch   1012, Loss  0.877990, Average Loss  0.866822, Time  0.169901
2021-09-11 16:11:30.209716 : Epoch  6, Batch    589, Loss  0.879164, Average Loss  0.867798, Time  0.259526
2021-09-11 16:11:31.455747 : Epoch  6, Batch   1013, Loss  0.852285, Average Loss  0.866773, Time  0.169503
2021-09-11 16:11:33.078790 : Epoch  6, Batch   1014, Loss  0.867882, Average Loss  0.866695, Time  0.169954
2021-09-11 16:11:34.674011 : Epoch  6, Batch   1015, Loss  0.868345, Average Loss  0.866652, Time  0.169664
2021-09-11 16:11:35.654964 : Epoch  6, Batch    590, Loss  0.876852, Average Loss  0.867859, Time  0.354292
2021-09-11 16:11:36.277005 : Epoch  6, Batch   1016, Loss  0.872094, Average Loss  0.866629, Time  0.169855
2021-09-11 16:11:37.891728 : Epoch  6, Batch   1017, Loss  0.876578, Average Loss  0.866830, Time  0.169670
2021-09-11 16:11:39.498009 : Epoch  6, Batch   1018, Loss  0.860966, Average Loss  0.866690, Time  0.169677
2021-09-11 16:11:41.099877 : Epoch  6, Batch   1019, Loss  0.883458, Average Loss  0.866744, Time  0.170076
2021-09-11 16:11:41.181045 : Epoch  6, Batch    591, Loss  0.886257, Average Loss  0.867895, Time  0.295806
2021-09-11 16:11:42.711013 : Epoch  6, Batch   1020, Loss  0.849953, Average Loss  0.866660, Time  0.169497
2021-09-11 16:11:44.352261 : Epoch  6, Batch   1021, Loss  0.847642, Average Loss  0.866640, Time  0.169999
2021-09-11 16:11:45.965738 : Epoch  6, Batch   1022, Loss  0.878690, Average Loss  0.866646, Time  0.169770
2021-09-11 16:11:47.572002 : Epoch  6, Batch   1023, Loss  0.848005, Average Loss  0.866411, Time  0.169900
2021-09-11 16:11:48.786944 : Epoch  6, Batch    592, Loss  0.875977, Average Loss  0.867902, Time  0.590018
2021-09-11 16:11:49.180994 : Epoch  6, Batch   1024, Loss  0.865376, Average Loss  0.866370, Time  0.169567
2021-09-11 16:11:50.768862 : Epoch  6, Batch   1025, Loss  0.857958, Average Loss  0.866509, Time  0.172981
2021-09-11 16:11:52.390018 : Epoch  6, Batch   1026, Loss  0.884141, Average Loss  0.866682, Time  0.178204
2021-09-11 16:11:54.008740 : Epoch  6, Batch   1027, Loss  0.847120, Average Loss  0.866456, Time  0.170935
2021-09-11 16:11:54.627439 : Epoch  6, Batch    593, Loss  0.866757, Average Loss  0.867937, Time  0.394461
2021-09-11 16:11:55.616824 : Epoch  6, Batch   1028, Loss  0.883683, Average Loss  0.866595, Time  0.173551
2021-09-11 16:11:57.233749 : Epoch  6, Batch   1029, Loss  0.865241, Average Loss  0.866551, Time  0.172265
2021-09-11 16:11:58.845863 : Epoch  6, Batch   1030, Loss  0.887459, Average Loss  0.866622, Time  0.172210
2021-09-11 16:12:00.465752 : Epoch  6, Batch   1031, Loss  0.856809, Average Loss  0.866599, Time  0.170118
2021-09-11 16:12:00.536041 : Epoch  6, Batch    594, Loss  0.880225, Average Loss  0.868071, Time  0.298162
2021-09-11 16:12:02.051330 : Epoch  6, Batch   1032, Loss  0.888053, Average Loss  0.866699, Time  0.173815
2021-09-11 16:12:03.658787 : Epoch  6, Batch   1033, Loss  0.856393, Average Loss  0.866604, Time  0.172467
2021-09-11 16:12:05.300019 : Epoch  6, Batch   1034, Loss  0.860221, Average Loss  0.866659, Time  0.170098
2021-09-11 16:12:06.900760 : Epoch  6, Batch   1035, Loss  0.840296, Average Loss  0.866645, Time  0.169925
2021-09-11 16:12:08.254032 : Epoch  6, Batch    595, Loss  0.883803, Average Loss  0.868147, Time  0.237536
2021-09-11 16:12:08.503834 : Epoch  6, Batch   1036, Loss  0.855133, Average Loss  0.866558, Time  0.170020
2021-09-11 16:12:10.108792 : Epoch  6, Batch   1037, Loss  0.874400, Average Loss  0.866488, Time  0.170042
2021-09-11 16:12:11.726029 : Epoch  6, Batch   1038, Loss  0.899607, Average Loss  0.866652, Time  0.170176
2021-09-11 16:12:13.342393 : Epoch  6, Batch   1039, Loss  0.870511, Average Loss  0.866563, Time  0.170850
2021-09-11 16:12:14.411614 : Epoch  6, Batch    596, Loss  0.876644, Average Loss  0.868153, Time  0.298301
2021-09-11 16:12:14.955994 : Epoch  6, Batch   1040, Loss  0.908658, Average Loss  0.866805, Time  0.169769
2021-09-11 16:12:16.569775 : Epoch  6, Batch   1041, Loss  0.878043, Average Loss  0.866844, Time  0.169641
2021-09-11 16:12:18.160993 : Epoch  6, Batch   1042, Loss  0.895366, Average Loss  0.867038, Time  0.169625
2021-09-11 16:12:19.758753 : Epoch  6, Batch   1043, Loss  0.863788, Average Loss  0.867116, Time  0.169792
2021-09-11 16:12:20.851228 : Epoch  6, Batch    597, Loss  0.872813, Average Loss  0.868171, Time  0.295906
2021-09-11 16:12:21.366999 : Epoch  6, Batch   1044, Loss  0.869963, Average Loss  0.867133, Time  0.169712
2021-09-11 16:12:22.969996 : Epoch  6, Batch   1045, Loss  0.865256, Average Loss  0.867186, Time  0.169940
2021-09-11 16:12:24.444800 : Epoch  6, Batch    598, Loss  0.866024, Average Loss  0.868158, Time  0.292006
2021-09-11 16:12:31.100393 : Epoch  6, Batch    599, Loss  0.888551, Average Loss  0.868210, Time  0.300108
2021-09-11 16:12:39.368395 : Epoch  6, Batch    600, Loss  0.872030, Average Loss  0.868203, Time  0.280859
2021-09-11 16:12:45.290410 : Epoch  6, Batch    601, Loss  0.861422, Average Loss  0.868191, Time  0.359144
2021-09-11 16:12:54.354024 : Epoch  6, Batch    602, Loss  0.872770, Average Loss  0.868257, Time  0.509494
2021-09-11 16:12:59.700424 : Epoch  6, Batch    603, Loss  0.876298, Average Loss  0.868266, Time  0.316973
2021-09-11 16:13:03.700396 : Epoch  6, Batch    604, Loss  0.877012, Average Loss  0.868226, Time  0.245115
2021-09-11 16:13:09.960863 : Epoch  6, Batch    605, Loss  0.881477, Average Loss  0.868327, Time  0.295553
2021-09-11 16:13:16.513050 : Epoch  6, Batch    606, Loss  0.863468, Average Loss  0.868276, Time  0.436505
2021-09-11 16:13:20.775882 : Epoch  6, Batch    607, Loss  0.865775, Average Loss  0.868197, Time  0.298204
2021-09-11 16:13:28.840406 : Epoch  6, Batch    608, Loss  0.860629, Average Loss  0.868055, Time  0.502997
2021-09-11 16:13:32.951951 : Epoch  6, Batch    609, Loss  0.884316, Average Loss  0.868183, Time  0.328325
2021-09-11 16:13:39.329015 : Epoch  6, Batch    610, Loss  0.862043, Average Loss  0.868062, Time  0.263958
2021-09-11 16:13:45.221919 : Epoch  6, Batch    611, Loss  0.858321, Average Loss  0.867991, Time  0.317238
2021-09-11 16:13:53.291105 : Epoch  6, Batch    612, Loss  0.864469, Average Loss  0.867935, Time  0.294862
2021-09-11 16:14:00.036204 : Epoch  6, Batch    613, Loss  0.889399, Average Loss  0.867919, Time  0.293229
2021-09-11 16:14:06.358910 : Epoch  6, Batch    614, Loss  0.885641, Average Loss  0.867997, Time  0.484738
2021-09-11 16:14:14.863234 : Epoch  6, Batch    615, Loss  0.855421, Average Loss  0.868028, Time  0.343955
2021-09-11 16:14:23.073187 : Epoch  6, Batch    616, Loss  0.875952, Average Loss  0.868020, Time  0.496571
2021-09-11 16:14:27.528435 : Epoch  6, Batch    617, Loss  0.869442, Average Loss  0.867948, Time  0.237168
2021-09-11 16:14:31.169049 : Epoch  6, Batch    618, Loss  0.863808, Average Loss  0.868019, Time  0.274300
2021-09-11 16:14:37.535014 : Epoch  6, Batch    619, Loss  0.879980, Average Loss  0.868141, Time  0.534527
2021-09-11 16:14:43.892603 : Epoch  6, Batch    620, Loss  0.843167, Average Loss  0.868056, Time  0.243175
2021-09-11 16:17:03.209732 : CheckPoint: Validation Loss  0.00060868, Best Loss  0.00057296
2021-09-11 16:17:04.820850 : Epoch  6, Batch   1046, Loss  0.860678, Average Loss  0.867134, Time  0.177707
2021-09-11 16:17:06.415136 : Epoch  6, Batch   1047, Loss  0.848150, Average Loss  0.866953, Time  0.170079
2021-09-11 16:17:08.038859 : Epoch  6, Batch   1048, Loss  0.853384, Average Loss  0.866911, Time  0.169823
2021-09-11 16:17:09.669002 : Epoch  6, Batch   1049, Loss  0.885261, Average Loss  0.866916, Time  0.170067
2021-09-11 16:17:11.272788 : Epoch  6, Batch   1050, Loss  0.854081, Average Loss  0.866853, Time  0.169599
2021-09-11 16:17:12.880748 : Epoch  6, Batch   1051, Loss  0.858817, Average Loss  0.866777, Time  0.171772
2021-09-11 16:17:14.488767 : Epoch  6, Batch   1052, Loss  0.879982, Average Loss  0.866812, Time  0.169706
2021-09-11 16:17:16.092770 : Epoch  6, Batch   1053, Loss  0.869805, Average Loss  0.866714, Time  0.169964
2021-09-11 16:17:17.682988 : Epoch  6, Batch   1054, Loss  0.871151, Average Loss  0.866866, Time  0.170071
2021-09-11 16:17:19.304817 : Epoch  6, Batch   1055, Loss  0.868565, Average Loss  0.866658, Time  0.169919
2021-09-11 16:17:20.922861 : Epoch  6, Batch   1056, Loss  0.879682, Average Loss  0.866651, Time  0.169505
2021-09-11 16:17:22.549819 : Epoch  6, Batch   1057, Loss  0.859411, Average Loss  0.866708, Time  0.170979
2021-09-11 16:17:24.154743 : Epoch  6, Batch   1058, Loss  0.854503, Average Loss  0.866478, Time  0.170297
2021-09-11 16:17:25.766999 : Epoch  6, Batch   1059, Loss  0.873762, Average Loss  0.866543, Time  0.169670
2021-09-11 16:17:27.373915 : Epoch  6, Batch   1060, Loss  0.863044, Average Loss  0.866376, Time  0.170107
2021-09-11 16:17:28.993999 : Epoch  6, Batch   1061, Loss  0.856754, Average Loss  0.866333, Time  0.172359
2021-09-11 16:17:30.611827 : Epoch  6, Batch   1062, Loss  0.861317, Average Loss  0.866111, Time  0.172486
2021-09-11 16:17:32.225003 : Epoch  6, Batch   1063, Loss  0.883156, Average Loss  0.866164, Time  0.169903
2021-09-11 16:17:33.846746 : Epoch  6, Batch   1064, Loss  0.886681, Average Loss  0.866313, Time  0.170079
2021-09-11 16:17:35.440996 : Epoch  6, Batch   1065, Loss  0.887026, Average Loss  0.866218, Time  0.169525
2021-09-11 16:17:37.052994 : Epoch  6, Batch   1066, Loss  0.879821, Average Loss  0.866283, Time  0.169893
2021-09-11 16:17:38.654026 : Epoch  6, Batch   1067, Loss  0.885021, Average Loss  0.866333, Time  0.169876
2021-09-11 16:17:40.287845 : Epoch  6, Batch   1068, Loss  0.843142, Average Loss  0.866205, Time  0.169996
2021-09-11 16:17:41.890999 : Epoch  6, Batch   1069, Loss  0.880592, Average Loss  0.866258, Time  0.169835
2021-09-11 16:17:43.492993 : Epoch  6, Batch   1070, Loss  0.856825, Average Loss  0.866203, Time  0.169453
2021-09-11 16:17:45.105759 : Epoch  6, Batch   1071, Loss  0.867982, Average Loss  0.866297, Time  0.170069
2021-09-11 16:17:46.714997 : Epoch  6, Batch   1072, Loss  0.859652, Average Loss  0.866246, Time  0.170118
2021-09-11 16:17:48.326004 : Epoch  6, Batch   1073, Loss  0.864419, Average Loss  0.866196, Time  0.170133
2021-09-11 16:17:49.930999 : Epoch  6, Batch   1074, Loss  0.906325, Average Loss  0.866449, Time  0.169679
2021-09-11 16:17:51.541824 : Epoch  6, Batch   1075, Loss  0.845872, Average Loss  0.866181, Time  0.169528
2021-09-11 16:17:53.178850 : Epoch  6, Batch   1076, Loss  0.853126, Average Loss  0.866088, Time  0.170115
2021-09-11 16:17:54.792811 : Epoch  6, Batch   1077, Loss  0.848087, Average Loss  0.865944, Time  0.169585
2021-09-11 16:17:56.404995 : Epoch  6, Batch   1078, Loss  0.832762, Average Loss  0.865787, Time  0.170010
2021-09-11 16:17:58.002848 : Epoch  6, Batch   1079, Loss  0.848658, Average Loss  0.865617, Time  0.169645
2021-09-11 16:17:59.612004 : Epoch  6, Batch   1080, Loss  0.896942, Average Loss  0.865701, Time  0.169894
2021-09-11 16:18:01.220752 : Epoch  6, Batch   1081, Loss  0.875722, Average Loss  0.865769, Time  0.169969
2021-09-11 16:18:02.821834 : Epoch  6, Batch   1082, Loss  0.881766, Average Loss  0.865884, Time  0.169612
2021-09-11 16:18:04.447122 : Epoch  6, Batch   1083, Loss  0.861838, Average Loss  0.865904, Time  0.169994
2021-09-11 16:18:06.053771 : Epoch  6, Batch   1084, Loss  0.878373, Average Loss  0.865982, Time  0.169872
2021-09-11 16:18:07.657004 : Epoch  6, Batch   1085, Loss  0.881159, Average Loss  0.866033, Time  0.169578
2021-09-11 16:18:09.261536 : Epoch  6, Batch   1086, Loss  0.857389, Average Loss  0.865860, Time  0.170048
2021-09-11 16:18:10.875989 : Epoch  6, Batch   1087, Loss  0.870499, Average Loss  0.865954, Time  0.169502
2021-09-11 16:18:12.483938 : Epoch  6, Batch   1088, Loss  0.880433, Average Loss  0.865990, Time  0.169455
2021-09-11 16:18:14.086754 : Epoch  6, Batch   1089, Loss  0.890076, Average Loss  0.866080, Time  0.170056
2021-09-11 16:18:15.685818 : Epoch  6, Batch   1090, Loss  0.877514, Average Loss  0.866244, Time  0.169607
2021-09-11 16:18:17.290996 : Epoch  6, Batch   1091, Loss  0.863992, Average Loss  0.866213, Time  0.169481
2021-09-11 16:18:18.894761 : Epoch  6, Batch   1092, Loss  0.852180, Average Loss  0.866249, Time  0.170037
2021-09-11 16:18:20.500820 : Epoch  6, Batch   1093, Loss  0.874699, Average Loss  0.866413, Time  0.169821
2021-09-11 16:18:22.105793 : Epoch  6, Batch   1094, Loss  0.872685, Average Loss  0.866569, Time  0.170736
2021-09-11 16:18:23.699994 : Epoch  6, Batch   1095, Loss  0.865726, Average Loss  0.866589, Time  0.169598
2021-09-11 16:18:25.314978 : Epoch  6, Batch   1096, Loss  0.888451, Average Loss  0.866653, Time  0.169684
2021-09-11 16:18:26.909033 : Epoch  6, Batch   1097, Loss  0.880968, Average Loss  0.866790, Time  0.170250
2021-09-11 16:18:28.515792 : Epoch  6, Batch   1098, Loss  0.898855, Average Loss  0.867009, Time  0.169906
2021-09-11 16:18:30.110789 : Epoch  6, Batch   1099, Loss  0.856622, Average Loss  0.866901, Time  0.169735
2021-09-11 16:18:31.718850 : Epoch  6, Batch   1100, Loss  0.866334, Average Loss  0.866907, Time  0.169809
2021-09-11 16:18:33.336788 : Epoch  6, Batch   1101, Loss  0.867028, Average Loss  0.866990, Time  0.172593
2021-09-11 16:18:34.938131 : Epoch  6, Batch   1102, Loss  0.886212, Average Loss  0.867008, Time  0.178828
2021-09-11 16:18:36.549758 : Epoch  6, Batch   1103, Loss  0.858758, Average Loss  0.866952, Time  0.170885
2021-09-11 16:18:38.138884 : Epoch  6, Batch   1104, Loss  0.883758, Average Loss  0.866938, Time  0.169999
2021-09-11 16:18:39.745743 : Epoch  6, Batch   1105, Loss  0.863378, Average Loss  0.867012, Time  0.169772
2021-09-11 16:18:41.376000 : Epoch  6, Batch   1106, Loss  0.868789, Average Loss  0.866946, Time  0.169839
2021-09-11 16:18:42.979997 : Epoch  6, Batch   1107, Loss  0.884858, Average Loss  0.867030, Time  0.169818
2021-09-11 16:18:44.588995 : Epoch  6, Batch   1108, Loss  0.869150, Average Loss  0.866916, Time  0.169801
2021-09-11 16:18:46.201746 : Epoch  6, Batch   1109, Loss  0.869312, Average Loss  0.866777, Time  0.169730
2021-09-11 16:18:47.829998 : Epoch  6, Batch   1110, Loss  0.866203, Average Loss  0.866701, Time  0.169606
2021-09-11 16:18:49.450849 : Epoch  6, Batch   1111, Loss  0.901671, Average Loss  0.866867, Time  0.169620
2021-09-11 16:18:51.067987 : Epoch  6, Batch   1112, Loss  0.872269, Average Loss  0.866824, Time  0.169347
2021-09-11 16:18:52.685853 : Epoch  6, Batch   1113, Loss  0.828294, Average Loss  0.866725, Time  0.169888
2021-09-11 16:18:54.293989 : Epoch  6, Batch   1114, Loss  0.864492, Average Loss  0.866883, Time  0.169660
2021-09-11 16:18:55.902999 : Epoch  6, Batch   1115, Loss  0.878665, Average Loss  0.866826, Time  0.169782
2021-09-11 16:18:57.519806 : Epoch  6, Batch   1116, Loss  0.868466, Average Loss  0.866983, Time  0.171881
2021-09-11 16:18:59.129773 : Epoch  6, Batch   1117, Loss  0.877262, Average Loss  0.866984, Time  0.169732
2021-09-11 16:19:00.732825 : Epoch  6, Batch   1118, Loss  0.880535, Average Loss  0.867090, Time  0.170027
2021-09-11 16:19:02.338997 : Epoch  6, Batch   1119, Loss  0.901518, Average Loss  0.867467, Time  0.169767
2021-09-11 16:19:03.953909 : Epoch  6, Batch   1120, Loss  0.865965, Average Loss  0.867465, Time  0.169590
2021-09-11 16:19:05.585365 : Epoch  6, Batch   1121, Loss  0.892962, Average Loss  0.867599, Time  0.169755
2021-09-11 16:19:07.200034 : Epoch  6, Batch   1122, Loss  0.878905, Average Loss  0.867746, Time  0.176880
2021-09-11 16:19:08.798037 : Epoch  6, Batch   1123, Loss  0.890921, Average Loss  0.867888, Time  0.169829
2021-09-11 16:19:10.411029 : Epoch  6, Batch   1124, Loss  0.878626, Average Loss  0.868064, Time  0.181931
2021-09-11 16:19:12.017756 : Epoch  6, Batch   1125, Loss  0.896629, Average Loss  0.868329, Time  0.173557
2021-09-11 16:19:13.634033 : Epoch  6, Batch   1126, Loss  0.833376, Average Loss  0.868302, Time  0.174325
2021-09-11 16:19:15.258022 : Epoch  6, Batch   1127, Loss  0.841381, Average Loss  0.868133, Time  0.182383
2021-09-11 16:19:16.872784 : Epoch  6, Batch   1128, Loss  0.863102, Average Loss  0.868105, Time  0.169784
2021-09-11 16:19:18.462932 : Epoch  6, Batch   1129, Loss  0.857073, Average Loss  0.868130, Time  0.169770
2021-09-11 16:19:20.040154 : Epoch  6, Batch   1130, Loss  0.872399, Average Loss  0.868079, Time  0.169717
2021-09-11 16:19:21.612855 : Epoch  6, Batch   1131, Loss  0.881712, Average Loss  0.868191, Time  0.169618
2021-09-11 16:19:23.212898 : Epoch  6, Batch   1132, Loss  0.855386, Average Loss  0.868260, Time  0.169771
2021-09-11 16:19:24.815813 : Epoch  6, Batch   1133, Loss  0.873331, Average Loss  0.868228, Time  0.169728
2021-09-11 16:19:26.444828 : Epoch  6, Batch   1134, Loss  0.868129, Average Loss  0.868287, Time  0.172119
2021-09-11 16:19:28.042997 : Epoch  6, Batch   1135, Loss  0.842124, Average Loss  0.868203, Time  0.169745
2021-09-11 16:19:29.646808 : Epoch  6, Batch   1136, Loss  0.846089, Average Loss  0.867942, Time  0.170351
2021-09-11 16:19:31.255031 : Epoch  6, Batch   1137, Loss  0.886493, Average Loss  0.868099, Time  0.170354
2021-09-11 16:19:32.858784 : Epoch  6, Batch   1138, Loss  0.887668, Average Loss  0.868250, Time  0.169651
2021-09-11 16:19:34.461396 : Epoch  6, Batch   1139, Loss  0.841307, Average Loss  0.868086, Time  0.171312
2021-09-11 16:19:36.055774 : Epoch  6, Batch   1140, Loss  0.894370, Average Loss  0.868251, Time  0.170156
2021-09-11 16:19:37.662002 : Epoch  6, Batch   1141, Loss  0.876884, Average Loss  0.868187, Time  0.169775
2021-09-11 16:19:39.269756 : Epoch  6, Batch   1142, Loss  0.844112, Average Loss  0.868163, Time  0.170072
2021-09-11 16:19:40.885993 : Epoch  6, Batch   1143, Loss  0.845871, Average Loss  0.868070, Time  0.169893
2021-09-11 16:19:42.493751 : Epoch  6, Batch   1144, Loss  0.890041, Average Loss  0.868165, Time  0.170373
2021-09-11 16:19:44.104935 : Epoch  6, Batch   1145, Loss  0.870774, Average Loss  0.868148, Time  0.169738
2021-09-11 16:24:24.164715 : CheckPoint: Validation Loss  0.00060641, Best Loss  0.00057296
2021-09-11 16:24:25.787847 : Epoch  6, Batch   1146, Loss  0.873905, Average Loss  0.868420, Time  0.176915
2021-09-11 16:24:27.391764 : Epoch  6, Batch   1147, Loss  0.876710, Average Loss  0.868352, Time  0.178909
2021-09-11 16:24:29.004745 : Epoch  6, Batch   1148, Loss  0.901840, Average Loss  0.868556, Time  0.176793
2021-09-11 16:24:30.606015 : Epoch  6, Batch   1149, Loss  0.862229, Average Loss  0.868486, Time  0.173409
2021-09-11 16:24:32.204020 : Epoch  6, Batch   1150, Loss  0.888235, Average Loss  0.868629, Time  0.170746
2021-09-11 16:24:33.802033 : Epoch  6, Batch   1151, Loss  0.859354, Average Loss  0.868471, Time  0.170434
2021-09-11 16:24:35.402025 : Epoch  6, Batch   1152, Loss  0.912813, Average Loss  0.868855, Time  0.169843
2021-09-11 16:24:37.008049 : Epoch  6, Batch   1153, Loss  0.869228, Average Loss  0.868921, Time  0.172947
2021-09-11 16:24:38.645023 : Epoch  6, Batch   1154, Loss  0.870930, Average Loss  0.869014, Time  0.189676
2021-09-11 16:24:40.244031 : Epoch  6, Batch   1155, Loss  0.884782, Average Loss  0.869057, Time  0.169716
2021-09-11 16:24:41.833911 : Epoch  6, Batch   1156, Loss  0.899645, Average Loss  0.869312, Time  0.178272
2021-09-11 16:24:43.438838 : Epoch  6, Batch   1157, Loss  0.904148, Average Loss  0.869426, Time  0.170010
2021-09-11 16:24:44.730770 : CheckPoint: Validation Loss  0.00030766, Best Loss  0.00029019
2021-09-11 16:24:45.037846 : Epoch  6, Batch   1158, Loss  0.842346, Average Loss  0.869446, Time  0.170095
2021-09-11 16:24:46.636820 : Epoch  6, Batch   1159, Loss  0.864069, Average Loss  0.869428, Time  0.170264
2021-09-11 16:24:48.251029 : Epoch  6, Batch   1160, Loss  0.908924, Average Loss  0.869731, Time  0.180231
2021-09-11 16:24:49.860775 : Epoch  6, Batch   1161, Loss  0.847694, Average Loss  0.869560, Time  0.170889
2021-09-11 16:24:51.469880 : Epoch  6, Batch   1162, Loss  0.872711, Average Loss  0.869620, Time  0.172124
2021-09-11 16:24:53.004417 : Epoch  6, Batch    621, Loss  0.885008, Average Loss  0.868200, Time  0.398032
2021-09-11 16:24:53.066763 : Epoch  6, Batch   1163, Loss  0.852550, Average Loss  0.869639, Time  0.170165
2021-09-11 16:24:54.706035 : Epoch  6, Batch   1164, Loss  0.876307, Average Loss  0.869590, Time  0.174129
2021-09-11 16:24:56.170150 : Epoch  6, Batch    622, Loss  0.877779, Average Loss  0.868207, Time  0.395570
2021-09-11 16:24:56.334748 : Epoch  6, Batch   1165, Loss  0.857993, Average Loss  0.869528, Time  0.182429
2021-09-11 16:24:57.910295 : Epoch  6, Batch   1166, Loss  0.881119, Average Loss  0.869740, Time  0.170080
2021-09-11 16:24:59.501709 : Epoch  6, Batch   1167, Loss  0.860530, Average Loss  0.869644, Time  0.170163
2021-09-11 16:25:01.060012 : Epoch  6, Batch    623, Loss  0.881580, Average Loss  0.868324, Time  0.256103
2021-09-11 16:25:01.092029 : Epoch  6, Batch   1168, Loss  0.871965, Average Loss  0.869747, Time  0.169984
2021-09-11 16:25:02.714187 : Epoch  6, Batch   1169, Loss  0.859747, Average Loss  0.869721, Time  0.173975
2021-09-11 16:25:04.320017 : Epoch  6, Batch   1170, Loss  0.869103, Average Loss  0.869698, Time  0.171456
2021-09-11 16:25:05.010037 : Epoch  6, Batch    624, Loss  0.873233, Average Loss  0.868306, Time  0.404252
2021-09-11 16:25:05.917806 : Epoch  6, Batch   1171, Loss  0.870285, Average Loss  0.869626, Time  0.170239
2021-09-11 16:25:07.517885 : Epoch  6, Batch   1172, Loss  0.877012, Average Loss  0.869975, Time  0.171554
2021-09-11 16:25:09.122738 : Epoch  6, Batch   1173, Loss  0.841931, Average Loss  0.869864, Time  0.174578
2021-09-11 16:25:10.273848 : Epoch  6, Batch    625, Loss  0.864041, Average Loss  0.868222, Time  0.402443
2021-09-11 16:25:10.731914 : Epoch  6, Batch   1174, Loss  0.848218, Average Loss  0.869739, Time  0.171160
2021-09-11 16:25:12.339848 : Epoch  6, Batch   1175, Loss  0.836134, Average Loss  0.869574, Time  0.172105
2021-09-11 16:25:13.939826 : Epoch  6, Batch   1176, Loss  0.827722, Average Loss  0.869371, Time  0.170846
2021-09-11 16:25:15.446354 : Epoch  6, Batch    626, Loss  0.862782, Average Loss  0.868161, Time  0.237282
2021-09-11 16:25:15.568816 : Epoch  6, Batch   1177, Loss  0.892426, Average Loss  0.869463, Time  0.174267
2021-09-11 16:25:17.165736 : Epoch  6, Batch   1178, Loss  0.860101, Average Loss  0.869391, Time  0.178388
2021-09-11 16:25:18.794051 : Epoch  6, Batch   1179, Loss  0.867835, Average Loss  0.869485, Time  0.170211
2021-09-11 16:25:19.177069 : Epoch  6, Batch    627, Loss  0.875194, Average Loss  0.868235, Time  0.339362
2021-09-11 16:25:20.394024 : Epoch  6, Batch   1180, Loss  0.854336, Average Loss  0.869483, Time  0.178793
2021-09-11 16:25:21.987792 : Epoch  6, Batch   1181, Loss  0.868004, Average Loss  0.869515, Time  0.178827
2021-09-11 16:25:23.574840 : Epoch  6, Batch   1182, Loss  0.863704, Average Loss  0.869370, Time  0.171106
2021-09-11 16:25:25.212085 : Epoch  6, Batch   1183, Loss  0.860472, Average Loss  0.869364, Time  0.173151
2021-09-11 16:25:26.079422 : Epoch  6, Batch    628, Loss  0.867764, Average Loss  0.868223, Time  0.316982
2021-09-11 16:25:26.802027 : Epoch  6, Batch   1184, Loss  0.896183, Average Loss  0.869554, Time  0.173611
2021-09-11 16:25:28.402750 : Epoch  6, Batch   1185, Loss  0.871070, Average Loss  0.869510, Time  0.172455
2021-09-11 16:25:30.017750 : Epoch  6, Batch   1186, Loss  0.835541, Average Loss  0.869420, Time  0.176410
2021-09-11 16:25:31.063958 : Epoch  6, Batch    629, Loss  0.885065, Average Loss  0.868294, Time  0.255766
2021-09-11 16:25:31.631754 : Epoch  6, Batch   1187, Loss  0.875245, Average Loss  0.869295, Time  0.170501
2021-09-11 16:25:33.247037 : Epoch  6, Batch   1188, Loss  0.892145, Average Loss  0.869398, Time  0.170073
2021-09-11 16:25:34.127428 : Epoch  6, Batch    630, Loss  0.882313, Average Loss  0.868391, Time  0.262298
2021-09-11 16:25:34.852831 : Epoch  6, Batch   1189, Loss  0.870344, Average Loss  0.869475, Time  0.170779
2021-09-11 16:25:36.461816 : Epoch  6, Batch   1190, Loss  0.848319, Average Loss  0.869352, Time  0.172900
2021-09-11 16:25:37.926939 : Epoch  6, Batch    631, Loss  0.865947, Average Loss  0.868252, Time  0.239732
2021-09-11 16:25:38.066741 : Epoch  6, Batch   1191, Loss  0.862543, Average Loss  0.869525, Time  0.175924
2021-09-11 16:25:39.646727 : Epoch  6, Batch   1192, Loss  0.881645, Average Loss  0.869478, Time  0.171641
2021-09-11 16:25:41.234805 : Epoch  6, Batch   1193, Loss  0.869961, Average Loss  0.869589, Time  0.170828
2021-09-11 16:25:42.820003 : Epoch  6, Batch   1194, Loss  0.869261, Average Loss  0.869733, Time  0.170063
2021-09-11 16:25:44.388083 : Epoch  6, Batch   1195, Loss  0.864854, Average Loss  0.869800, Time  0.169810
2021-09-11 16:25:45.975825 : Epoch  6, Batch   1196, Loss  0.856869, Average Loss  0.869575, Time  0.170024
2021-09-11 16:25:46.030377 : Epoch  6, Batch    632, Loss  0.876784, Average Loss  0.868283, Time  0.338946
2021-09-11 16:25:47.576763 : Epoch  6, Batch   1197, Loss  0.850746, Average Loss  0.869397, Time  0.169932
2021-09-11 16:25:49.190031 : Epoch  6, Batch   1198, Loss  0.861700, Average Loss  0.869392, Time  0.169662
2021-09-11 16:25:50.761787 : Epoch  6, Batch   1199, Loss  0.865090, Average Loss  0.869267, Time  0.171886
2021-09-11 16:25:52.375847 : Epoch  6, Batch   1200, Loss  0.846278, Average Loss  0.869180, Time  0.171113
2021-09-11 16:25:53.770018 : Epoch  6, Batch    633, Loss  0.855159, Average Loss  0.868333, Time  0.424771
2021-09-11 16:25:53.950765 : Epoch  6, Batch   1201, Loss  0.878471, Average Loss  0.869129, Time  0.171129
2021-09-11 16:25:55.414031 : Epoch  6, Batch   1202, Loss  0.862394, Average Loss  0.869158, Time  0.163864
2021-09-11 16:25:57.019034 : Epoch  6, Batch   1203, Loss  0.839501, Average Loss  0.869077, Time  0.173914
2021-09-11 16:25:58.632838 : Epoch  6, Batch   1204, Loss  0.878898, Average Loss  0.869147, Time  0.173488
2021-09-11 16:26:00.214793 : Epoch  6, Batch   1205, Loss  0.875131, Average Loss  0.869225, Time  0.169729
2021-09-11 16:26:01.815028 : Epoch  6, Batch   1206, Loss  0.860541, Average Loss  0.869143, Time  0.180287
2021-09-11 16:26:01.901933 : Epoch  6, Batch    634, Loss  0.852067, Average Loss  0.868339, Time  0.310866
2021-09-11 16:26:03.403823 : Epoch  6, Batch   1207, Loss  0.892143, Average Loss  0.869222, Time  0.170861
2021-09-11 16:26:04.994813 : Epoch  6, Batch   1208, Loss  0.867809, Average Loss  0.869078, Time  0.173107
2021-09-11 16:26:06.571025 : Epoch  6, Batch   1209, Loss  0.868539, Average Loss  0.869137, Time  0.171776
2021-09-11 16:26:06.672065 : Epoch  6, Batch    635, Loss  0.849798, Average Loss  0.868279, Time  0.323236
2021-09-11 16:26:08.191804 : Epoch  6, Batch   1210, Loss  0.854691, Average Loss  0.869146, Time  0.176512
2021-09-11 16:26:09.790028 : Epoch  6, Batch   1211, Loss  0.877858, Average Loss  0.869171, Time  0.175587
2021-09-11 16:26:11.390882 : Epoch  6, Batch   1212, Loss  0.875782, Average Loss  0.869160, Time  0.174058
2021-09-11 16:26:12.643031 : Epoch  6, Batch    636, Loss  0.875765, Average Loss  0.868295, Time  0.316754
2021-09-11 16:26:12.993030 : Epoch  6, Batch   1213, Loss  0.821298, Average Loss  0.869005, Time  0.170034
2021-09-11 16:26:14.586786 : Epoch  6, Batch   1214, Loss  0.868261, Average Loss  0.869007, Time  0.172915
2021-09-11 16:26:16.184876 : Epoch  6, Batch   1215, Loss  0.858863, Average Loss  0.868959, Time  0.171670
2021-09-11 16:26:17.779810 : Epoch  6, Batch   1216, Loss  0.846894, Average Loss  0.868833, Time  0.171434
2021-09-11 16:26:18.495883 : Epoch  6, Batch    637, Loss  0.862063, Average Loss  0.868283, Time  0.347359
2021-09-11 16:26:19.379855 : Epoch  6, Batch   1217, Loss  0.887522, Average Loss  0.868888, Time  0.171582
2021-09-11 16:26:20.996834 : Epoch  6, Batch   1218, Loss  0.834969, Average Loss  0.868758, Time  0.173734
2021-09-11 16:26:22.587665 : Epoch  6, Batch   1219, Loss  0.832176, Average Loss  0.868502, Time  0.170013
2021-09-11 16:26:24.197750 : Epoch  6, Batch   1220, Loss  0.856009, Average Loss  0.868532, Time  0.170181
2021-09-11 16:26:25.837025 : Epoch  6, Batch   1221, Loss  0.897127, Average Loss  0.868779, Time  0.170186
2021-09-11 16:26:26.475144 : Epoch  6, Batch    638, Loss  0.867723, Average Loss  0.868211, Time  0.257638
2021-09-11 16:26:27.438994 : Epoch  6, Batch   1222, Loss  0.873268, Average Loss  0.868752, Time  0.170642
2021-09-11 16:26:29.061033 : Epoch  6, Batch   1223, Loss  0.904082, Average Loss  0.869033, Time  0.172013
2021-09-11 16:26:30.713869 : Epoch  6, Batch   1224, Loss  0.887078, Average Loss  0.869141, Time  0.176777
2021-09-11 16:26:31.538870 : Epoch  6, Batch    639, Loss  0.868348, Average Loss  0.868210, Time  0.487098
2021-09-11 16:26:32.330833 : Epoch  6, Batch   1225, Loss  0.898543, Average Loss  0.869344, Time  0.170142
2021-09-11 16:26:33.957811 : Epoch  6, Batch   1226, Loss  0.849241, Average Loss  0.869170, Time  0.170306
2021-09-11 16:26:35.569824 : Epoch  6, Batch   1227, Loss  0.887116, Average Loss  0.869370, Time  0.172182
2021-09-11 16:26:37.161764 : Epoch  6, Batch   1228, Loss  0.861000, Average Loss  0.869256, Time  0.170835
2021-09-11 16:26:38.412855 : Epoch  6, Batch    640, Loss  0.860233, Average Loss  0.868139, Time  0.424884
2021-09-11 16:26:38.761036 : Epoch  6, Batch   1229, Loss  0.870305, Average Loss  0.869281, Time  0.171073
2021-09-11 16:26:40.351028 : Epoch  6, Batch   1230, Loss  0.866572, Average Loss  0.869177, Time  0.169649
2021-09-11 16:26:41.954042 : Epoch  6, Batch   1231, Loss  0.888160, Average Loss  0.869334, Time  0.171314
2021-09-11 16:26:43.561811 : Epoch  6, Batch   1232, Loss  0.877842, Average Loss  0.869283, Time  0.169990
2021-09-11 16:26:44.293969 : Epoch  6, Batch    641, Loss  0.879775, Average Loss  0.868197, Time  0.237477
2021-09-11 16:26:45.181038 : Epoch  6, Batch   1233, Loss  0.871955, Average Loss  0.869360, Time  0.178474
2021-09-11 16:26:46.793808 : Epoch  6, Batch   1234, Loss  0.860197, Average Loss  0.869360, Time  0.184344
2021-09-11 16:26:48.394299 : Epoch  6, Batch   1235, Loss  0.908020, Average Loss  0.869699, Time  0.170247
2021-09-11 16:26:49.985032 : Epoch  6, Batch   1236, Loss  0.880327, Average Loss  0.869825, Time  0.170237
2021-09-11 16:26:51.487784 : Epoch  6, Batch    642, Loss  0.871311, Average Loss  0.868200, Time  0.460546
2021-09-11 16:26:51.597752 : Epoch  6, Batch   1237, Loss  0.873633, Average Loss  0.869821, Time  0.172324
2021-09-11 16:26:53.188764 : Epoch  6, Batch   1238, Loss  0.858296, Average Loss  0.869615, Time  0.174213
2021-09-11 16:26:54.765910 : Epoch  6, Batch   1239, Loss  0.870484, Average Loss  0.869614, Time  0.172830
2021-09-11 16:26:56.355751 : Epoch  6, Batch   1240, Loss  0.879994, Average Loss  0.869471, Time  0.173729
2021-09-11 16:26:56.378103 : Epoch  6, Batch    643, Loss  0.865449, Average Loss  0.868248, Time  0.425333
2021-09-11 16:26:57.938642 : Epoch  6, Batch   1241, Loss  0.866364, Average Loss  0.869413, Time  0.170422
2021-09-11 16:26:59.542028 : Epoch  6, Batch   1242, Loss  0.848689, Average Loss  0.869179, Time  0.173828
2021-09-11 16:27:01.135038 : Epoch  6, Batch   1243, Loss  0.843685, Average Loss  0.869079, Time  0.170957
2021-09-11 16:27:02.731825 : Epoch  6, Batch   1244, Loss  0.863457, Average Loss  0.869046, Time  0.170058
2021-09-11 16:27:04.311808 : Epoch  6, Batch   1245, Loss  0.838795, Average Loss  0.868914, Time  0.169902
2021-09-11 16:27:06.202904 : Epoch  6, Batch    644, Loss  0.870803, Average Loss  0.868220, Time  0.425803
2021-09-11 16:27:10.029819 : Epoch  6, Batch    645, Loss  0.886013, Average Loss  0.868367, Time  0.281306
2021-09-11 16:27:16.183255 : Epoch  6, Batch    646, Loss  0.884242, Average Loss  0.868496, Time  0.293550
2021-09-11 16:27:23.247228 : Epoch  6, Batch    647, Loss  0.874616, Average Loss  0.868651, Time  0.353765
2021-09-11 16:27:28.361979 : Epoch  6, Batch    648, Loss  0.876124, Average Loss  0.868708, Time  0.267281
2021-09-11 16:27:38.160393 : Epoch  6, Batch    649, Loss  0.884297, Average Loss  0.868796, Time  0.309944
2021-09-11 16:27:45.165985 : Epoch  6, Batch    650, Loss  0.873138, Average Loss  0.868886, Time  0.437404
2021-09-11 16:27:52.362916 : Epoch  6, Batch    651, Loss  0.857842, Average Loss  0.868812, Time  0.355120
2021-09-11 16:27:59.922259 : Epoch  6, Batch    652, Loss  0.856407, Average Loss  0.868629, Time  0.326600
2021-09-11 16:28:08.607718 : Epoch  6, Batch    653, Loss  0.858685, Average Loss  0.868572, Time  0.478637
2021-09-11 16:28:14.910928 : Epoch  6, Batch    654, Loss  0.857405, Average Loss  0.868493, Time  0.267932
2021-09-11 16:28:23.478024 : Epoch  6, Batch    655, Loss  0.890032, Average Loss  0.868637, Time  0.446494
2021-09-11 16:28:27.867456 : Epoch  6, Batch    656, Loss  0.865453, Average Loss  0.868652, Time  0.331002
2021-09-11 16:28:34.452213 : Epoch  6, Batch    657, Loss  0.863074, Average Loss  0.868664, Time  0.371887
2021-09-11 16:28:42.649878 : Epoch  6, Batch    658, Loss  0.857563, Average Loss  0.868612, Time  0.418924
2021-09-11 16:28:51.892949 : Epoch  6, Batch    659, Loss  0.854268, Average Loss  0.868474, Time  0.315475
2021-09-11 16:28:59.058155 : Epoch  6, Batch    660, Loss  0.874007, Average Loss  0.868538, Time  0.276716
2021-09-11 16:29:04.174388 : Epoch  6, Batch    661, Loss  0.878259, Average Loss  0.868647, Time  0.245124
2021-09-11 16:29:10.291073 : Epoch  6, Batch    662, Loss  0.862700, Average Loss  0.868678, Time  0.342357
2021-09-11 16:29:19.305840 : Epoch  6, Batch    663, Loss  0.865626, Average Loss  0.868764, Time  0.404909
2021-09-11 16:29:27.346043 : Epoch  6, Batch    664, Loss  0.847713, Average Loss  0.868659, Time  0.370730
2021-09-11 16:29:34.003199 : Epoch  6, Batch    665, Loss  0.852441, Average Loss  0.868701, Time  0.311785
2021-09-11 16:29:40.489629 : Epoch  6, Batch    666, Loss  0.880860, Average Loss  0.868760, Time  0.363988
2021-09-11 16:29:47.264034 : Epoch  6, Batch    667, Loss  0.866104, Average Loss  0.868734, Time  0.320909
2021-09-11 16:29:50.978869 : Epoch  6, Batch    668, Loss  0.859166, Average Loss  0.868716, Time  0.311084
2021-09-11 16:29:59.220067 : Epoch  6, Batch    669, Loss  0.866537, Average Loss  0.868763, Time  0.447399
2021-09-11 16:30:04.211895 : Epoch  6, Batch    670, Loss  0.875382, Average Loss  0.868746, Time  0.277215
2021-09-11 16:30:10.529194 : Epoch  6, Batch    671, Loss  0.859991, Average Loss  0.868568, Time  0.434125
2021-09-11 16:30:16.961612 : Epoch  6, Batch    672, Loss  0.867966, Average Loss  0.868598, Time  0.364906
2021-09-11 16:30:24.134559 : Epoch  6, Batch    673, Loss  0.884220, Average Loss  0.868652, Time  0.500463
2021-09-11 16:30:30.916449 : Epoch  6, Batch    674, Loss  0.867210, Average Loss  0.868712, Time  0.237387
2021-09-11 16:30:36.904006 : Epoch  6, Batch    675, Loss  0.867747, Average Loss  0.868707, Time  0.300324
2021-09-11 16:30:42.718124 : Epoch  6, Batch    676, Loss  0.847778, Average Loss  0.868572, Time  0.237657
2021-09-11 16:30:46.382967 : Epoch  6, Batch    677, Loss  0.886834, Average Loss  0.868726, Time  0.383876
2021-09-11 16:30:53.305397 : Epoch  6, Batch    678, Loss  0.888429, Average Loss  0.868780, Time  0.369512
2021-09-11 16:30:56.710231 : Epoch  6, Batch    679, Loss  0.875081, Average Loss  0.868800, Time  0.264426
2021-09-11 16:31:04.692925 : Epoch  6, Batch    680, Loss  0.871433, Average Loss  0.868784, Time  0.369667
2021-09-11 16:31:14.139736 : Epoch  6, Batch    681, Loss  0.858482, Average Loss  0.868759, Time  0.333234
2021-09-11 16:31:19.977478 : Epoch  6, Batch    682, Loss  0.869787, Average Loss  0.868762, Time  0.403101
2021-09-11 16:31:25.159193 : Epoch  6, Batch    683, Loss  0.879081, Average Loss  0.868796, Time  0.284898
2021-09-11 16:31:31.613952 : Epoch  6, Batch    684, Loss  0.860226, Average Loss  0.868787, Time  0.351226
2021-09-11 16:31:39.770489 : Epoch  6, Batch    685, Loss  0.878787, Average Loss  0.868865, Time  0.450948
2021-09-11 16:31:44.162715 : CheckPoint: Validation Loss  0.00058942, Best Loss  0.00057296
2021-09-11 16:31:45.766955 : Epoch  6, Batch   1246, Loss  0.874536, Average Loss  0.868983, Time  0.178169
2021-09-11 16:31:46.746873 : Epoch  6, Batch    686, Loss  0.871037, Average Loss  0.868907, Time  0.244905
2021-09-11 16:31:47.369853 : Epoch  6, Batch   1247, Loss  0.866860, Average Loss  0.869077, Time  0.170250
2021-09-11 16:31:48.982774 : Epoch  6, Batch   1248, Loss  0.899070, Average Loss  0.869305, Time  0.173802
2021-09-11 16:31:50.609028 : Epoch  6, Batch   1249, Loss  0.849795, Average Loss  0.869128, Time  0.180310
2021-09-11 16:31:52.224874 : Epoch  6, Batch   1250, Loss  0.856379, Average Loss  0.869139, Time  0.178715
2021-09-11 16:31:53.324866 : Epoch  6, Batch    687, Loss  0.862529, Average Loss  0.868922, Time  0.505235
2021-09-11 16:31:53.830029 : Epoch  6, Batch   1251, Loss  0.870753, Average Loss  0.869199, Time  0.170245
2021-09-11 16:31:55.425874 : Epoch  6, Batch   1252, Loss  0.844587, Average Loss  0.869022, Time  0.174908
2021-09-11 16:31:57.020944 : Epoch  6, Batch   1253, Loss  0.858442, Average Loss  0.868965, Time  0.177519
2021-09-11 16:31:58.615069 : Epoch  6, Batch   1254, Loss  0.888822, Average Loss  0.869054, Time  0.170993
2021-09-11 16:32:00.207045 : Epoch  6, Batch   1255, Loss  0.871715, Average Loss  0.869069, Time  0.170284
2021-09-11 16:32:01.525294 : Epoch  6, Batch    688, Loss  0.872481, Average Loss  0.868909, Time  0.392396
2021-09-11 16:32:01.809024 : Epoch  6, Batch   1256, Loss  0.880508, Average Loss  0.869074, Time  0.170822
2021-09-11 16:32:03.398809 : Epoch  6, Batch   1257, Loss  0.863117, Average Loss  0.869092, Time  0.171435
2021-09-11 16:32:04.999831 : Epoch  6, Batch   1258, Loss  0.863964, Average Loss  0.869139, Time  0.170308
2021-09-11 16:32:06.596025 : Epoch  6, Batch   1259, Loss  0.865443, Average Loss  0.869098, Time  0.172079
2021-09-11 16:32:08.194031 : Epoch  6, Batch   1260, Loss  0.895332, Average Loss  0.869259, Time  0.172459
2021-09-11 16:32:08.198243 : Epoch  6, Batch    689, Loss  0.844118, Average Loss  0.868754, Time  0.364354
2021-09-11 16:32:09.786827 : Epoch  6, Batch   1261, Loss  0.877357, Average Loss  0.869362, Time  0.175411
2021-09-11 16:32:11.379039 : Epoch  6, Batch   1262, Loss  0.888385, Average Loss  0.869498, Time  0.172571
2021-09-11 16:32:12.979801 : Epoch  6, Batch   1263, Loss  0.870375, Average Loss  0.869434, Time  0.169694
2021-09-11 16:32:14.567099 : Epoch  6, Batch   1264, Loss  0.884380, Average Loss  0.869422, Time  0.173091
2021-09-11 16:32:16.128891 : Epoch  6, Batch    690, Loss  0.871910, Average Loss  0.868900, Time  0.346761
2021-09-11 16:32:16.179803 : Epoch  6, Batch   1265, Loss  0.848518, Average Loss  0.869230, Time  0.169879
2021-09-11 16:32:17.802030 : Epoch  6, Batch   1266, Loss  0.862856, Average Loss  0.869145, Time  0.176499
2021-09-11 16:32:19.403797 : Epoch  6, Batch   1267, Loss  0.887156, Average Loss  0.869155, Time  0.179368
2021-09-11 16:32:21.013031 : Epoch  6, Batch   1268, Loss  0.870750, Average Loss  0.869294, Time  0.178628
2021-09-11 16:32:22.617811 : Epoch  6, Batch   1269, Loss  0.887862, Average Loss  0.869330, Time  0.173631
2021-09-11 16:32:23.360868 : Epoch  6, Batch    691, Loss  0.856595, Average Loss  0.868793, Time  0.408305
2021-09-11 16:32:24.231016 : Epoch  6, Batch   1270, Loss  0.894847, Average Loss  0.869520, Time  0.169857
2021-09-11 16:32:25.852824 : Epoch  6, Batch   1271, Loss  0.861923, Average Loss  0.869490, Time  0.172205
2021-09-11 16:32:27.472024 : Epoch  6, Batch   1272, Loss  0.864035, Average Loss  0.869512, Time  0.186515
2021-09-11 16:32:28.860132 : Epoch  6, Batch    692, Loss  0.882607, Average Loss  0.868881, Time  0.240808
2021-09-11 16:32:29.066033 : Epoch  6, Batch   1273, Loss  0.865877, Average Loss  0.869519, Time  0.170322
2021-09-11 16:32:30.657798 : Epoch  6, Batch   1274, Loss  0.854533, Average Loss  0.869260, Time  0.169717
2021-09-11 16:32:32.299914 : Epoch  6, Batch   1275, Loss  0.862359, Average Loss  0.869342, Time  0.174694
2021-09-11 16:32:33.114107 : Epoch  6, Batch    693, Loss  0.874646, Average Loss  0.868919, Time  0.303649
2021-09-11 16:32:33.890819 : Epoch  6, Batch   1276, Loss  0.873234, Average Loss  0.869443, Time  0.171038
2021-09-11 16:32:35.478025 : Epoch  6, Batch   1277, Loss  0.867567, Average Loss  0.869540, Time  0.171275
2021-09-11 16:32:37.065768 : Epoch  6, Batch   1278, Loss  0.864514, Average Loss  0.869699, Time  0.170933
2021-09-11 16:32:37.798900 : Epoch  6, Batch    694, Loss  0.868708, Average Loss  0.868929, Time  0.329411
2021-09-11 16:32:38.658854 : Epoch  6, Batch   1279, Loss  0.872532, Average Loss  0.869818, Time  0.177639
2021-09-11 16:32:40.282050 : Epoch  6, Batch   1280, Loss  0.913834, Average Loss  0.869903, Time  0.170082
2021-09-11 16:32:41.914038 : Epoch  6, Batch   1281, Loss  0.864879, Average Loss  0.869849, Time  0.171591
2021-09-11 16:32:42.611395 : Epoch  6, Batch    695, Loss  0.871755, Average Loss  0.868924, Time  0.444325
2021-09-11 16:32:43.502524 : Epoch  6, Batch   1282, Loss  0.893609, Average Loss  0.869908, Time  0.169897
2021-09-11 16:32:45.115769 : Epoch  6, Batch   1283, Loss  0.896563, Average Loss  0.870082, Time  0.169934
2021-09-11 16:32:46.703773 : Epoch  6, Batch   1284, Loss  0.872666, Average Loss  0.870053, Time  0.174305
2021-09-11 16:32:48.303027 : Epoch  6, Batch   1285, Loss  0.862075, Average Loss  0.869958, Time  0.173681
2021-09-11 16:32:49.905032 : Epoch  6, Batch   1286, Loss  0.849438, Average Loss  0.869918, Time  0.173427
2021-09-11 16:32:51.266948 : Epoch  6, Batch    696, Loss  0.874521, Average Loss  0.868962, Time  0.276834
2021-09-11 16:32:51.483741 : Epoch  6, Batch   1287, Loss  0.883816, Average Loss  0.869984, Time  0.174811
2021-09-11 16:32:53.088025 : Epoch  6, Batch   1288, Loss  0.899395, Average Loss  0.870079, Time  0.177776
2021-09-11 16:32:54.698790 : Epoch  6, Batch   1289, Loss  0.864449, Average Loss  0.869951, Time  0.175635
2021-09-11 16:32:56.337039 : Epoch  6, Batch   1290, Loss  0.906402, Average Loss  0.870095, Time  0.170420
2021-09-11 16:32:57.561060 : Epoch  6, Batch    697, Loss  0.884404, Average Loss  0.869076, Time  0.237665
2021-09-11 16:32:57.942032 : Epoch  6, Batch   1291, Loss  0.834184, Average Loss  0.869946, Time  0.169671
2021-09-11 16:32:59.530033 : Epoch  6, Batch   1292, Loss  0.861629, Average Loss  0.869994, Time  0.175374
2021-09-11 16:33:01.147035 : Epoch  6, Batch   1293, Loss  0.865176, Average Loss  0.869946, Time  0.170136
2021-09-11 16:33:02.727028 : Epoch  6, Batch   1294, Loss  0.845156, Average Loss  0.869808, Time  0.171127
2021-09-11 16:33:04.294029 : Epoch  6, Batch   1295, Loss  0.854952, Average Loss  0.869755, Time  0.171602
2021-09-11 16:33:05.403664 : Epoch  6, Batch    698, Loss  0.861795, Average Loss  0.869051, Time  0.238003
2021-09-11 16:33:05.883028 : Epoch  6, Batch   1296, Loss  0.872438, Average Loss  0.869675, Time  0.170027
2021-09-11 16:33:07.503038 : Epoch  6, Batch   1297, Loss  0.871879, Average Loss  0.869629, Time  0.171046
2021-09-11 16:33:09.084930 : Epoch  6, Batch   1298, Loss  0.902186, Average Loss  0.869646, Time  0.170021
2021-09-11 16:33:09.763933 : Epoch  6, Batch    699, Loss  0.856189, Average Loss  0.869027, Time  0.337642
2021-09-11 16:33:10.672803 : Epoch  6, Batch   1299, Loss  0.891303, Average Loss  0.869819, Time  0.170064
2021-09-11 16:33:12.289751 : Epoch  6, Batch   1300, Loss  0.886296, Average Loss  0.869919, Time  0.181280
2021-09-11 16:33:13.904800 : Epoch  6, Batch   1301, Loss  0.858953, Average Loss  0.869879, Time  0.169968
2021-09-11 16:33:15.512030 : Epoch  6, Batch   1302, Loss  0.863464, Average Loss  0.869765, Time  0.175307
2021-09-11 16:33:16.060130 : Epoch  6, Batch    700, Loss  0.869944, Average Loss  0.869059, Time  0.330893
2021-09-11 16:33:17.102752 : Epoch  6, Batch   1303, Loss  0.871528, Average Loss  0.869829, Time  0.169929
2021-09-11 16:33:18.698798 : Epoch  6, Batch   1304, Loss  0.870533, Average Loss  0.869763, Time  0.174716
2021-09-11 16:33:20.299791 : Epoch  6, Batch   1305, Loss  0.903976, Average Loss  0.869966, Time  0.170123
2021-09-11 16:33:21.229680 : Epoch  6, Batch    701, Loss  0.873793, Average Loss  0.869129, Time  0.237242
2021-09-11 16:33:21.902750 : Epoch  6, Batch   1306, Loss  0.882072, Average Loss  0.870032, Time  0.176894
2021-09-11 16:33:23.493746 : Epoch  6, Batch   1307, Loss  0.876315, Average Loss  0.869989, Time  0.170370
2021-09-11 16:33:25.086827 : Epoch  6, Batch   1308, Loss  0.861767, Average Loss  0.869952, Time  0.172972
2021-09-11 16:33:25.520647 : Epoch  6, Batch    702, Loss  0.882785, Average Loss  0.869287, Time  0.238307
2021-09-11 16:33:26.677834 : Epoch  6, Batch   1309, Loss  0.874463, Average Loss  0.869978, Time  0.170065
2021-09-11 16:33:28.285775 : Epoch  6, Batch   1310, Loss  0.893582, Average Loss  0.870115, Time  0.171685
2021-09-11 16:33:29.886831 : Epoch  6, Batch   1311, Loss  0.874099, Average Loss  0.869977, Time  0.172268
2021-09-11 16:33:31.491742 : Epoch  6, Batch   1312, Loss  0.864061, Average Loss  0.869936, Time  0.170025
2021-09-11 16:33:33.097818 : Epoch  6, Batch   1313, Loss  0.882956, Average Loss  0.870209, Time  0.171335
2021-09-11 16:33:33.127067 : Epoch  6, Batch    703, Loss  0.862651, Average Loss  0.869229, Time  0.426661
2021-09-11 16:33:34.737855 : Epoch  6, Batch   1314, Loss  0.861698, Average Loss  0.870195, Time  0.181768
2021-09-11 16:33:36.361784 : Epoch  6, Batch   1315, Loss  0.884033, Average Loss  0.870222, Time  0.179384
2021-09-11 16:33:37.972857 : Epoch  6, Batch   1316, Loss  0.871262, Average Loss  0.870236, Time  0.172034
2021-09-11 16:33:39.326913 : Epoch  6, Batch    704, Loss  0.860245, Average Loss  0.869288, Time  0.582122
2021-09-11 16:33:39.613033 : Epoch  6, Batch   1317, Loss  0.860427, Average Loss  0.870152, Time  0.174330
2021-09-11 16:33:41.208754 : Epoch  6, Batch   1318, Loss  0.884342, Average Loss  0.870171, Time  0.169880
2021-09-11 16:33:42.815905 : Epoch  6, Batch   1319, Loss  0.869005, Average Loss  0.870009, Time  0.177080
2021-09-11 16:33:43.809062 : Epoch  6, Batch    705, Loss  0.878525, Average Loss  0.869442, Time  0.430341
2021-09-11 16:33:44.412033 : Epoch  6, Batch   1320, Loss  0.892132, Average Loss  0.870139, Time  0.170074
2021-09-11 16:33:46.054786 : Epoch  6, Batch   1321, Loss  0.898328, Average Loss  0.870166, Time  0.169892
2021-09-11 16:33:47.665827 : Epoch  6, Batch   1322, Loss  0.873028, Average Loss  0.870137, Time  0.170165
2021-09-11 16:33:49.278770 : Epoch  6, Batch   1323, Loss  0.845613, Average Loss  0.869910, Time  0.170996
2021-09-11 16:33:49.685433 : Epoch  6, Batch    706, Loss  0.875291, Average Loss  0.869567, Time  0.416021
2021-09-11 16:33:50.871801 : Epoch  6, Batch   1324, Loss  0.867570, Average Loss  0.869855, Time  0.174238
2021-09-11 16:33:52.481766 : Epoch  6, Batch   1325, Loss  0.861597, Average Loss  0.869680, Time  0.177220
2021-09-11 16:33:54.077781 : Epoch  6, Batch   1326, Loss  0.852138, Average Loss  0.869774, Time  0.171865
2021-09-11 16:33:55.661759 : Epoch  6, Batch   1327, Loss  0.871839, Average Loss  0.869926, Time  0.170104
2021-09-11 16:33:55.887863 : Epoch  6, Batch    707, Loss  0.862210, Average Loss  0.869365, Time  0.363415
2021-09-11 16:33:57.254783 : Epoch  6, Batch   1328, Loss  0.860121, Average Loss  0.869911, Time  0.172787
2021-09-11 16:33:58.867758 : Epoch  6, Batch   1329, Loss  0.889284, Average Loss  0.870072, Time  0.174217
2021-09-11 16:34:00.465036 : Epoch  6, Batch   1330, Loss  0.851977, Average Loss  0.869970, Time  0.171780
2021-09-11 16:34:01.958058 : Epoch  6, Batch    708, Loss  0.876737, Average Loss  0.869333, Time  0.286149
2021-09-11 16:34:02.059823 : Epoch  6, Batch   1331, Loss  0.865354, Average Loss  0.869888, Time  0.169662
2021-09-11 16:34:03.671033 : Epoch  6, Batch   1332, Loss  0.861995, Average Loss  0.869921, Time  0.176955
2021-09-11 16:34:05.269794 : Epoch  6, Batch   1333, Loss  0.882302, Average Loss  0.869966, Time  0.179194
2021-09-11 16:34:06.315483 : Epoch  6, Batch    709, Loss  0.864616, Average Loss  0.869306, Time  0.392138
2021-09-11 16:34:06.871046 : Epoch  6, Batch   1334, Loss  0.861543, Average Loss  0.869933, Time  0.171300
2021-09-11 16:34:08.474782 : Epoch  6, Batch   1335, Loss  0.850848, Average Loss  0.869977, Time  0.173753
2021-09-11 16:34:10.081870 : Epoch  6, Batch   1336, Loss  0.853343, Average Loss  0.870013, Time  0.178066
2021-09-11 16:34:11.679547 : Epoch  6, Batch   1337, Loss  0.868012, Average Loss  0.869921, Time  0.169887
2021-09-11 16:34:13.094906 : Epoch  6, Batch    710, Loss  0.870321, Average Loss  0.869372, Time  0.251030
2021-09-11 16:34:13.290760 : Epoch  6, Batch   1338, Loss  0.870659, Average Loss  0.869836, Time  0.170166
2021-09-11 16:34:14.891027 : Epoch  6, Batch   1339, Loss  0.822848, Average Loss  0.869743, Time  0.171916
2021-09-11 16:34:16.479038 : Epoch  6, Batch   1340, Loss  0.867843, Average Loss  0.869611, Time  0.170410
2021-09-11 16:34:18.080877 : Epoch  6, Batch   1341, Loss  0.852370, Average Loss  0.869488, Time  0.170469
2021-09-11 16:34:19.689812 : Epoch  6, Batch   1342, Loss  0.885566, Average Loss  0.869695, Time  0.178155
2021-09-11 16:34:21.294036 : Epoch  6, Batch   1343, Loss  0.856223, Average Loss  0.869747, Time  0.173387
2021-09-11 16:34:21.946745 : Epoch  6, Batch    711, Loss  0.870002, Average Loss  0.869313, Time  0.286487
2021-09-11 16:34:22.888750 : Epoch  6, Batch   1344, Loss  0.860987, Average Loss  0.869602, Time  0.173291
2021-09-11 16:34:24.483827 : Epoch  6, Batch   1345, Loss  0.850752, Average Loss  0.869502, Time  0.173670
2021-09-11 16:34:26.460806 : Epoch  6, Batch    712, Loss  0.853731, Average Loss  0.869235, Time  0.261703
2021-09-11 16:34:33.841129 : Epoch  6, Batch    713, Loss  0.859730, Average Loss  0.869165, Time  0.462063
2021-09-11 16:34:37.952852 : Epoch  6, Batch    714, Loss  0.882152, Average Loss  0.869172, Time  0.239251
2021-09-11 16:34:43.374984 : Epoch  6, Batch    715, Loss  0.884775, Average Loss  0.869193, Time  0.355478
2021-09-11 16:34:50.913035 : Epoch  6, Batch    716, Loss  0.865283, Average Loss  0.869092, Time  0.360545
2021-09-11 16:34:55.165086 : Epoch  6, Batch    717, Loss  0.871312, Average Loss  0.868949, Time  0.277291
2021-09-11 16:35:02.290837 : Epoch  6, Batch    718, Loss  0.846747, Average Loss  0.868772, Time  0.391677
2021-09-11 16:35:11.323963 : Epoch  6, Batch    719, Loss  0.873932, Average Loss  0.868760, Time  0.320077
2021-09-11 16:35:46.066947 : Epoch  6, Batch    720, Loss  0.886651, Average Loss  0.868855, Time  0.284147
2021-09-11 16:39:03.939722 : CheckPoint: Validation Loss  0.00058165, Best Loss  0.00057296
2021-09-11 16:39:05.562887 : Epoch  6, Batch   1346, Loss  0.825449, Average Loss  0.869259, Time  0.179395
2021-09-11 16:39:07.169812 : Epoch  6, Batch   1347, Loss  0.849528, Average Loss  0.869124, Time  0.173002
2021-09-11 16:39:08.773794 : Epoch  6, Batch   1348, Loss  0.824676, Average Loss  0.868738, Time  0.170487
2021-09-11 16:39:10.384782 : Epoch  6, Batch   1349, Loss  0.863768, Average Loss  0.868745, Time  0.170007
2021-09-11 16:39:11.970781 : Epoch  6, Batch   1350, Loss  0.840445, Average Loss  0.868506, Time  0.169872
2021-09-11 16:39:13.583005 : Epoch  6, Batch   1351, Loss  0.836516, Average Loss  0.868392, Time  0.172441
2021-09-11 16:39:15.182762 : Epoch  6, Batch   1352, Loss  0.880006, Average Loss  0.868228, Time  0.169653
2021-09-11 16:39:16.780995 : Epoch  6, Batch   1353, Loss  0.851721, Average Loss  0.868141, Time  0.169645
2021-09-11 16:39:18.381768 : Epoch  6, Batch   1354, Loss  0.866721, Average Loss  0.868120, Time  0.170101
2021-09-11 16:39:19.977993 : Epoch  6, Batch   1355, Loss  0.873312, Average Loss  0.868062, Time  0.169507
2021-09-11 16:39:21.578750 : Epoch  6, Batch   1356, Loss  0.865631, Average Loss  0.867892, Time  0.169957
2021-09-11 16:39:23.181788 : Epoch  6, Batch   1357, Loss  0.871563, Average Loss  0.867729, Time  0.169948
2021-09-11 16:39:24.791753 : Epoch  6, Batch   1358, Loss  0.882863, Average Loss  0.867932, Time  0.171737
2021-09-11 16:39:26.402851 : Epoch  6, Batch   1359, Loss  0.872033, Average Loss  0.867972, Time  0.169749
2021-09-11 16:39:28.005745 : Epoch  6, Batch   1360, Loss  0.863196, Average Loss  0.867743, Time  0.169974
2021-09-11 16:39:29.625840 : Epoch  6, Batch   1361, Loss  0.852272, Average Loss  0.867766, Time  0.172278
2021-09-11 16:39:31.236000 : Epoch  6, Batch   1362, Loss  0.868567, Average Loss  0.867745, Time  0.169635
2021-09-11 16:39:32.831851 : Epoch  6, Batch   1363, Loss  0.847492, Average Loss  0.867720, Time  0.169766
2021-09-11 16:39:34.444759 : Epoch  6, Batch   1364, Loss  0.868985, Average Loss  0.867683, Time  0.169482
2021-09-11 16:39:36.045741 : Epoch  6, Batch   1365, Loss  0.855691, Average Loss  0.867672, Time  0.170147
2021-09-11 16:39:37.650889 : Epoch  6, Batch   1366, Loss  0.896333, Average Loss  0.867748, Time  0.169856
2021-09-11 16:39:39.254826 : Epoch  6, Batch   1367, Loss  0.868493, Average Loss  0.867788, Time  0.169728
2021-09-11 16:39:40.854005 : Epoch  6, Batch   1368, Loss  0.914408, Average Loss  0.868000, Time  0.169523
2021-09-11 16:39:42.446855 : Epoch  6, Batch   1369, Loss  0.854248, Average Loss  0.867972, Time  0.169762
2021-09-11 16:39:44.041757 : Epoch  6, Batch   1370, Loss  0.886936, Average Loss  0.868062, Time  0.169696
2021-09-11 16:39:45.649841 : Epoch  6, Batch   1371, Loss  0.861947, Average Loss  0.868020, Time  0.169870
2021-09-11 16:39:47.256808 : Epoch  6, Batch   1372, Loss  0.868777, Average Loss  0.867979, Time  0.170779
2021-09-11 16:39:48.864772 : Epoch  6, Batch   1373, Loss  0.849329, Average Loss  0.868016, Time  0.169899
2021-09-11 16:39:50.459779 : Epoch  6, Batch   1374, Loss  0.854738, Average Loss  0.868048, Time  0.169841
2021-09-11 16:39:52.059988 : Epoch  6, Batch   1375, Loss  0.848516, Average Loss  0.868110, Time  0.169822
2021-09-11 16:39:53.655986 : Epoch  6, Batch   1376, Loss  0.878279, Average Loss  0.868363, Time  0.169490
2021-09-11 16:39:55.270759 : Epoch  6, Batch   1377, Loss  0.885106, Average Loss  0.868326, Time  0.169791
2021-09-11 16:39:56.886992 : Epoch  6, Batch   1378, Loss  0.879004, Average Loss  0.868421, Time  0.169740
2021-09-11 16:39:58.492784 : Epoch  6, Batch   1379, Loss  0.836855, Average Loss  0.868266, Time  0.170008
2021-09-11 16:40:00.091747 : Epoch  6, Batch   1380, Loss  0.838522, Average Loss  0.868187, Time  0.169854
2021-09-11 16:40:01.705997 : Epoch  6, Batch   1381, Loss  0.878707, Average Loss  0.868240, Time  0.169948
2021-09-11 16:40:03.342995 : Epoch  6, Batch   1382, Loss  0.872304, Average Loss  0.868283, Time  0.170034
2021-09-11 16:40:04.998859 : Epoch  6, Batch   1383, Loss  0.869943, Average Loss  0.868331, Time  0.170004
2021-09-11 16:40:06.606747 : Epoch  6, Batch   1384, Loss  0.877583, Average Loss  0.868238, Time  0.171635
2021-09-11 16:40:08.199831 : Epoch  6, Batch   1385, Loss  0.864998, Average Loss  0.868207, Time  0.169648
2021-09-11 16:40:09.803803 : Epoch  6, Batch   1386, Loss  0.880746, Average Loss  0.868434, Time  0.172126
2021-09-11 16:40:11.404796 : Epoch  6, Batch   1387, Loss  0.890854, Average Loss  0.868512, Time  0.170350
2021-09-11 16:40:13.013805 : Epoch  6, Batch   1388, Loss  0.851834, Average Loss  0.868310, Time  0.171937
2021-09-11 16:40:14.615816 : Epoch  6, Batch   1389, Loss  0.850041, Average Loss  0.868208, Time  0.169729
2021-09-11 16:40:16.209991 : Epoch  6, Batch   1390, Loss  0.842374, Average Loss  0.868179, Time  0.169853
2021-09-11 16:40:17.804996 : Epoch  6, Batch   1391, Loss  0.869557, Average Loss  0.868214, Time  0.169875
2021-09-11 16:40:19.413992 : Epoch  6, Batch   1392, Loss  0.846319, Average Loss  0.868037, Time  0.169702
2021-09-11 16:40:21.007776 : Epoch  6, Batch   1393, Loss  0.821448, Average Loss  0.867795, Time  0.169544
2021-09-11 16:40:22.607159 : Epoch  6, Batch   1394, Loss  0.846848, Average Loss  0.867683, Time  0.172191
2021-09-11 16:40:24.208761 : Epoch  6, Batch   1395, Loss  0.861821, Average Loss  0.867667, Time  0.169846
2021-09-11 16:40:25.781840 : Epoch  6, Batch   1396, Loss  0.859036, Average Loss  0.867678, Time  0.169721
2021-09-11 16:40:27.439836 : Epoch  6, Batch   1397, Loss  0.867386, Average Loss  0.867761, Time  0.175149
2021-09-11 16:40:29.031825 : Epoch  6, Batch   1398, Loss  0.869910, Average Loss  0.867802, Time  0.176271
2021-09-11 16:40:30.671724 : Epoch  6, Batch   1399, Loss  0.867154, Average Loss  0.867813, Time  0.186330
2021-09-11 16:40:32.293728 : Epoch  6, Batch   1400, Loss  0.880578, Average Loss  0.867984, Time  0.170290
2021-09-11 16:40:33.907770 : Epoch  6, Batch   1401, Loss  0.848622, Average Loss  0.867835, Time  0.174975
2021-09-11 16:40:35.493753 : Epoch  6, Batch   1402, Loss  0.878884, Average Loss  0.867918, Time  0.181936
2021-09-11 16:40:37.128814 : Epoch  6, Batch   1403, Loss  0.851408, Average Loss  0.867977, Time  0.174249
2021-09-11 16:40:38.732026 : Epoch  6, Batch   1404, Loss  0.905524, Average Loss  0.868110, Time  0.176443
2021-09-11 16:40:40.335751 : Epoch  6, Batch   1405, Loss  0.867140, Average Loss  0.868070, Time  0.178116
2021-09-11 16:40:41.939743 : Epoch  6, Batch   1406, Loss  0.849488, Average Loss  0.868015, Time  0.169889
2021-09-11 16:40:43.559904 : Epoch  6, Batch   1407, Loss  0.867820, Average Loss  0.867893, Time  0.173033
2021-09-11 16:40:45.158992 : Epoch  6, Batch   1408, Loss  0.865593, Average Loss  0.867882, Time  0.171946
2021-09-11 16:40:46.758781 : Epoch  6, Batch   1409, Loss  0.868832, Average Loss  0.867884, Time  0.170040
2021-09-11 16:40:48.363825 : Epoch  6, Batch   1410, Loss  0.875030, Average Loss  0.867985, Time  0.172246
2021-09-11 16:40:49.953029 : Epoch  6, Batch   1411, Loss  0.854655, Average Loss  0.867869, Time  0.169457
2021-09-11 16:40:51.558869 : Epoch  6, Batch   1412, Loss  0.878762, Average Loss  0.867884, Time  0.170372
2021-09-11 16:40:53.155881 : Epoch  6, Batch   1413, Loss  0.871624, Average Loss  0.868136, Time  0.169937
2021-09-11 16:40:54.755802 : Epoch  6, Batch   1414, Loss  0.889329, Average Loss  0.868241, Time  0.169691
2021-09-11 16:40:56.350993 : Epoch  6, Batch   1415, Loss  0.883077, Average Loss  0.868362, Time  0.169604
2021-09-11 16:40:57.948002 : Epoch  6, Batch   1416, Loss  0.868128, Average Loss  0.868469, Time  0.169963
2021-09-11 16:40:59.568914 : Epoch  6, Batch   1417, Loss  0.853133, Average Loss  0.868297, Time  0.169887
2021-09-11 16:41:01.170195 : Epoch  6, Batch   1418, Loss  0.847333, Average Loss  0.868358, Time  0.170441
2021-09-11 16:41:02.773815 : Epoch  6, Batch   1419, Loss  0.850212, Average Loss  0.868449, Time  0.170148
2021-09-11 16:41:04.375761 : Epoch  6, Batch   1420, Loss  0.874176, Average Loss  0.868539, Time  0.172331
2021-09-11 16:41:05.997289 : Epoch  6, Batch   1421, Loss  0.884568, Average Loss  0.868477, Time  0.169627
2021-09-11 16:41:07.616917 : Epoch  6, Batch   1422, Loss  0.893668, Average Loss  0.868579, Time  0.172014
2021-09-11 16:41:09.241809 : Epoch  6, Batch   1423, Loss  0.888368, Average Loss  0.868500, Time  0.172526
2021-09-11 16:41:10.858868 : Epoch  6, Batch   1424, Loss  0.852176, Average Loss  0.868326, Time  0.169956
2021-09-11 16:41:12.458815 : Epoch  6, Batch   1425, Loss  0.868947, Average Loss  0.868178, Time  0.171640
2021-09-11 16:41:14.062782 : Epoch  6, Batch   1426, Loss  0.890931, Average Loss  0.868386, Time  0.172293
2021-09-11 16:41:15.668847 : Epoch  6, Batch   1427, Loss  0.870370, Average Loss  0.868302, Time  0.169762
2021-09-11 16:41:17.275779 : Epoch  6, Batch   1428, Loss  0.833050, Average Loss  0.868163, Time  0.170105
2021-09-11 16:41:18.881829 : Epoch  6, Batch   1429, Loss  0.898383, Average Loss  0.868303, Time  0.169933
2021-09-11 16:41:20.479946 : Epoch  6, Batch   1430, Loss  0.870256, Average Loss  0.868321, Time  0.172190
2021-09-11 16:41:22.058941 : Epoch  6, Batch   1431, Loss  0.876198, Average Loss  0.868262, Time  0.170461
2021-09-11 16:41:23.651572 : Epoch  6, Batch   1432, Loss  0.861731, Average Loss  0.868181, Time  0.174563
2021-09-11 16:41:25.228030 : Epoch  6, Batch   1433, Loss  0.896289, Average Loss  0.868303, Time  0.170050
2021-09-11 16:41:26.834038 : Epoch  6, Batch   1434, Loss  0.882753, Average Loss  0.868415, Time  0.176176
2021-09-11 16:41:28.437035 : Epoch  6, Batch   1435, Loss  0.866808, Average Loss  0.868209, Time  0.172878
2021-09-11 16:41:30.039040 : Epoch  6, Batch   1436, Loss  0.902141, Average Loss  0.868318, Time  0.171218
2021-09-11 16:41:31.637047 : Epoch  6, Batch   1437, Loss  0.832731, Average Loss  0.868114, Time  0.169598
2021-09-11 16:41:33.230030 : Epoch  6, Batch   1438, Loss  0.872842, Average Loss  0.868187, Time  0.170877
2021-09-11 16:41:34.824022 : Epoch  6, Batch   1439, Loss  0.858281, Average Loss  0.868126, Time  0.169590
2021-09-11 16:41:36.429028 : Epoch  6, Batch   1440, Loss  0.858610, Average Loss  0.868019, Time  0.172786
2021-09-11 16:41:38.046752 : Epoch  6, Batch   1441, Loss  0.859022, Average Loss  0.867982, Time  0.170543
2021-09-11 16:41:39.629029 : Epoch  6, Batch   1442, Loss  0.862242, Average Loss  0.868050, Time  0.169678
2021-09-11 16:41:41.223766 : Epoch  6, Batch   1443, Loss  0.866585, Average Loss  0.868164, Time  0.171126
2021-09-11 16:41:42.835034 : Epoch  6, Batch   1444, Loss  0.885051, Average Loss  0.868272, Time  0.181666
2021-09-11 16:41:49.940788 : Epoch  6, Batch   1445, Loss  0.881514, Average Loss  0.868486, Time  0.177305
2021-09-11 16:45:57.008741 : CheckPoint: Validation Loss  0.00030625, Best Loss  0.00029019
2021-09-11 16:46:02.120985 : Epoch  6, Batch    721, Loss  0.898727, Average Loss  0.869026, Time  0.277464
2021-09-11 16:46:07.601910 : Epoch  6, Batch    722, Loss  0.903740, Average Loss  0.869167, Time  0.268458
2021-09-11 16:46:11.783986 : Epoch  6, Batch    723, Loss  0.867704, Average Loss  0.869177, Time  0.331620
2021-09-11 16:46:18.162030 : Epoch  6, Batch    724, Loss  0.880951, Average Loss  0.869357, Time  0.278772
2021-09-11 16:46:22.891992 : Epoch  6, Batch    725, Loss  0.843946, Average Loss  0.869222, Time  0.372596
2021-09-11 16:46:28.777368 : Epoch  6, Batch    726, Loss  0.867692, Average Loss  0.869283, Time  0.313334
2021-09-11 16:46:30.792716 : CheckPoint: Validation Loss  0.00060657, Best Loss  0.00057296
2021-09-11 16:46:32.433937 : Epoch  6, Batch   1446, Loss  0.888196, Average Loss  0.868554, Time  0.184187
2021-09-11 16:46:33.683930 : Epoch  6, Batch    727, Loss  0.855620, Average Loss  0.869310, Time  0.256549
2021-09-11 16:46:34.017745 : Epoch  6, Batch   1447, Loss  0.885683, Average Loss  0.868648, Time  0.170959
2021-09-11 16:46:35.625045 : Epoch  6, Batch   1448, Loss  0.868691, Average Loss  0.868496, Time  0.172786
2021-09-11 16:46:37.220733 : Epoch  6, Batch   1449, Loss  0.909199, Average Loss  0.868793, Time  0.170580
2021-09-11 16:46:38.698000 : Epoch  6, Batch    728, Loss  0.876850, Average Loss  0.869305, Time  0.378887
2021-09-11 16:46:38.915754 : Epoch  6, Batch   1450, Loss  0.872442, Average Loss  0.868874, Time  0.171468
2021-09-11 16:46:40.639012 : Epoch  6, Batch   1451, Loss  0.860008, Average Loss  0.868820, Time  0.171153
2021-09-11 16:46:42.298140 : Epoch  6, Batch   1452, Loss  0.845028, Average Loss  0.868822, Time  0.170506
2021-09-11 16:46:43.912095 : Epoch  6, Batch   1453, Loss  0.872603, Average Loss  0.868893, Time  0.172780
2021-09-11 16:46:44.216892 : Epoch  6, Batch    729, Loss  0.859371, Average Loss  0.869276, Time  0.328042
2021-09-11 16:46:45.511074 : Epoch  6, Batch   1454, Loss  0.847501, Average Loss  0.868686, Time  0.175860
2021-09-11 16:46:47.102480 : Epoch  6, Batch   1455, Loss  0.864219, Average Loss  0.868649, Time  0.170236
2021-09-11 16:46:48.510460 : Epoch  6, Batch    730, Loss  0.880801, Average Loss  0.869353, Time  0.344422
2021-09-11 16:46:48.702104 : Epoch  6, Batch   1456, Loss  0.869824, Average Loss  0.868595, Time  0.177105
2021-09-11 16:46:50.339812 : Epoch  6, Batch   1457, Loss  0.850659, Average Loss  0.868533, Time  0.172416
2021-09-11 16:46:51.976453 : Epoch  6, Batch   1458, Loss  0.848498, Average Loss  0.868456, Time  0.177207
2021-09-11 16:46:53.566800 : Epoch  6, Batch   1459, Loss  0.886183, Average Loss  0.868560, Time  0.170623
2021-09-11 16:46:53.773987 : Epoch  6, Batch    731, Loss  0.886232, Average Loss  0.869478, Time  0.322541
2021-09-11 16:46:55.170226 : Epoch  6, Batch   1460, Loss  0.842141, Average Loss  0.868294, Time  0.172313
2021-09-11 16:46:56.772861 : Epoch  6, Batch   1461, Loss  0.841958, Average Loss  0.868117, Time  0.170528
2021-09-11 16:46:58.382040 : Epoch  6, Batch   1462, Loss  0.887626, Average Loss  0.868113, Time  0.173409
2021-09-11 16:46:59.639051 : Epoch  6, Batch    732, Loss  0.881692, Average Loss  0.869541, Time  0.300562
2021-09-11 16:47:00.000042 : Epoch  6, Batch   1463, Loss  0.877516, Average Loss  0.868148, Time  0.170441
2021-09-11 16:47:01.640791 : Epoch  6, Batch   1464, Loss  0.894919, Average Loss  0.868201, Time  0.173250
2021-09-11 16:47:03.239809 : Epoch  6, Batch   1465, Loss  0.834216, Average Loss  0.868130, Time  0.170949
2021-09-11 16:47:04.842060 : Epoch  6, Batch   1466, Loss  0.894675, Average Loss  0.868289, Time  0.176806
2021-09-11 16:47:06.299946 : Epoch  6, Batch    733, Loss  0.857078, Average Loss  0.869570, Time  0.320882
2021-09-11 16:47:06.457175 : Epoch  6, Batch   1467, Loss  0.850914, Average Loss  0.868108, Time  0.170161
2021-09-11 16:47:08.055753 : Epoch  6, Batch   1468, Loss  0.857560, Average Loss  0.868042, Time  0.174326
2021-09-11 16:47:09.675881 : Epoch  6, Batch   1469, Loss  0.870910, Average Loss  0.867957, Time  0.174306
2021-09-11 16:47:11.291870 : Epoch  6, Batch   1470, Loss  0.888271, Average Loss  0.867924, Time  0.175528
2021-09-11 16:47:11.659117 : Epoch  6, Batch    734, Loss  0.871951, Average Loss  0.869575, Time  0.427724
2021-09-11 16:47:12.905773 : Epoch  6, Batch   1471, Loss  0.864864, Average Loss  0.867939, Time  0.172466
2021-09-11 16:47:14.521020 : Epoch  6, Batch   1472, Loss  0.866573, Average Loss  0.867951, Time  0.172221
2021-09-11 16:47:16.133057 : Epoch  6, Batch   1473, Loss  0.880183, Average Loss  0.868023, Time  0.170357
2021-09-11 16:47:16.227041 : Epoch  6, Batch    735, Loss  0.847421, Average Loss  0.869392, Time  0.286623
2021-09-11 16:47:17.743021 : Epoch  6, Batch   1474, Loss  0.845926, Average Loss  0.867980, Time  0.179593
2021-09-11 16:47:19.375851 : Epoch  6, Batch   1475, Loss  0.873003, Average Loss  0.868033, Time  0.171677
2021-09-11 16:47:20.989037 : Epoch  6, Batch   1476, Loss  0.875663, Average Loss  0.868045, Time  0.170723
2021-09-11 16:47:22.602131 : Epoch  6, Batch   1477, Loss  0.848320, Average Loss  0.867949, Time  0.170587
2021-09-11 16:47:22.790386 : Epoch  6, Batch    736, Loss  0.860785, Average Loss  0.869514, Time  0.261923
2021-09-11 16:47:24.196360 : Epoch  6, Batch   1478, Loss  0.886046, Average Loss  0.868057, Time  0.172108
2021-09-11 16:47:25.853861 : Epoch  6, Batch   1479, Loss  0.858213, Average Loss  0.867985, Time  0.170425
2021-09-11 16:47:27.479105 : Epoch  6, Batch   1480, Loss  0.881243, Average Loss  0.867822, Time  0.170427
2021-09-11 16:47:27.722851 : Epoch  6, Batch    737, Loss  0.876504, Average Loss  0.869471, Time  0.255460
2021-09-11 16:47:29.095321 : Epoch  6, Batch   1481, Loss  0.875046, Average Loss  0.867873, Time  0.170664
2021-09-11 16:47:30.714976 : Epoch  6, Batch   1482, Loss  0.855766, Average Loss  0.867684, Time  0.174011
2021-09-11 16:47:32.331893 : Epoch  6, Batch   1483, Loss  0.862805, Average Loss  0.867515, Time  0.171277
2021-09-11 16:47:33.955267 : Epoch  6, Batch   1484, Loss  0.888654, Average Loss  0.867595, Time  0.171212
2021-09-11 16:47:34.673910 : Epoch  6, Batch    738, Loss  0.872205, Average Loss  0.869570, Time  0.361142
2021-09-11 16:47:35.586912 : Epoch  6, Batch   1485, Loss  0.855453, Average Loss  0.867562, Time  0.173573
2021-09-11 16:47:37.196091 : Epoch  6, Batch   1486, Loss  0.876881, Average Loss  0.867699, Time  0.173523
2021-09-11 16:47:38.113376 : Epoch  6, Batch    739, Loss  0.870218, Average Loss  0.869554, Time  0.236941
2021-09-11 16:47:38.809214 : Epoch  6, Batch   1487, Loss  0.887373, Average Loss  0.867717, Time  0.170597
2021-09-11 16:47:40.413900 : Epoch  6, Batch   1488, Loss  0.900514, Average Loss  0.867722, Time  0.173770
2021-09-11 16:47:42.054165 : Epoch  6, Batch   1489, Loss  0.859696, Average Loss  0.867699, Time  0.170804
2021-09-11 16:47:43.681055 : Epoch  6, Batch   1490, Loss  0.877737, Average Loss  0.867555, Time  0.181216
2021-09-11 16:47:43.750691 : Epoch  6, Batch    740, Loss  0.853983, Average Loss  0.869416, Time  0.397044
2021-09-11 16:47:45.308855 : Epoch  6, Batch   1491, Loss  0.865470, Average Loss  0.867712, Time  0.176586
2021-09-11 16:47:46.912840 : Epoch  6, Batch   1492, Loss  0.875527, Average Loss  0.867781, Time  0.173071
2021-09-11 16:47:48.524092 : Epoch  6, Batch   1493, Loss  0.859693, Average Loss  0.867754, Time  0.173152
2021-09-11 16:47:50.117035 : Epoch  6, Batch   1494, Loss  0.856035, Average Loss  0.867808, Time  0.170253
2021-09-11 16:47:50.258953 : Epoch  6, Batch    741, Loss  0.864618, Average Loss  0.869401, Time  0.465108
2021-09-11 16:47:51.725752 : Epoch  6, Batch   1495, Loss  0.841933, Average Loss  0.867743, Time  0.172888
2021-09-11 16:47:53.319800 : Epoch  6, Batch   1496, Loss  0.869771, Average Loss  0.867730, Time  0.170744
2021-09-11 16:47:54.823877 : Epoch  6, Batch    742, Loss  0.875270, Average Loss  0.869511, Time  0.273343
2021-09-11 16:47:54.911742 : Epoch  6, Batch   1497, Loss  0.857304, Average Loss  0.867657, Time  0.170179
2021-09-11 16:47:56.515750 : Epoch  6, Batch   1498, Loss  0.861106, Average Loss  0.867451, Time  0.173565
2021-09-11 16:47:58.137745 : Epoch  6, Batch   1499, Loss  0.879827, Average Loss  0.867394, Time  0.174807
2021-09-11 16:47:59.766911 : Epoch  6, Batch   1500, Loss  0.858125, Average Loss  0.867253, Time  0.171965
2021-09-11 16:48:00.578932 : Epoch  6, Batch    743, Loss  0.863944, Average Loss  0.869529, Time  0.262934
2021-09-11 16:48:01.360048 : Epoch  6, Batch   1501, Loss  0.851273, Average Loss  0.867215, Time  0.178481
2021-09-11 16:48:02.943893 : Epoch  6, Batch   1502, Loss  0.862219, Average Loss  0.867209, Time  0.178432
2021-09-11 16:48:03.844816 : Epoch  6, Batch    744, Loss  0.855387, Average Loss  0.869585, Time  0.418751
2021-09-11 16:48:04.536802 : Epoch  6, Batch   1503, Loss  0.850675, Average Loss  0.867104, Time  0.171777
2021-09-11 16:48:06.126029 : Epoch  6, Batch   1504, Loss  0.868840, Average Loss  0.867096, Time  0.169863
2021-09-11 16:48:07.724033 : Epoch  6, Batch   1505, Loss  0.910954, Average Loss  0.867131, Time  0.171815
2021-09-11 16:48:09.250669 : Epoch  6, Batch    745, Loss  0.878160, Average Loss  0.869681, Time  0.364288
2021-09-11 16:48:09.330843 : Epoch  6, Batch   1506, Loss  0.846763, Average Loss  0.866954, Time  0.174172
2021-09-11 16:48:10.938851 : Epoch  6, Batch   1507, Loss  0.865311, Average Loss  0.866899, Time  0.170013
2021-09-11 16:48:11.881822 : Epoch  6, Batch    746, Loss  0.864226, Average Loss  0.869582, Time  0.264116
2021-09-11 16:48:12.557829 : Epoch  6, Batch   1508, Loss  0.826690, Average Loss  0.866724, Time  0.185582
2021-09-11 16:48:14.173763 : Epoch  6, Batch   1509, Loss  0.857932, Average Loss  0.866641, Time  0.178665
2021-09-11 16:48:15.782832 : Epoch  6, Batch   1510, Loss  0.882062, Average Loss  0.866584, Time  0.175765
2021-09-11 16:48:17.376862 : Epoch  6, Batch   1511, Loss  0.871710, Average Loss  0.866572, Time  0.175890
2021-09-11 16:48:18.961823 : Epoch  6, Batch   1512, Loss  0.850890, Average Loss  0.866506, Time  0.169748
2021-09-11 16:48:20.215904 : Epoch  6, Batch    747, Loss  0.873585, Average Loss  0.869557, Time  0.414221
2021-09-11 16:48:20.569822 : Epoch  6, Batch   1513, Loss  0.859857, Average Loss  0.866390, Time  0.170481
2021-09-11 16:48:22.155787 : Epoch  6, Batch   1514, Loss  0.844288, Average Loss  0.866303, Time  0.175330
2021-09-11 16:48:23.763807 : Epoch  6, Batch   1515, Loss  0.884651, Average Loss  0.866306, Time  0.179179
2021-09-11 16:48:25.415781 : Epoch  6, Batch   1516, Loss  0.834926, Average Loss  0.866125, Time  0.191755
2021-09-11 16:48:25.450463 : Epoch  6, Batch    748, Loss  0.866242, Average Loss  0.869452, Time  0.321942
2021-09-11 16:48:27.060029 : Epoch  6, Batch   1517, Loss  0.863461, Average Loss  0.866140, Time  0.176706
2021-09-11 16:48:28.696740 : Epoch  6, Batch   1518, Loss  0.864816, Average Loss  0.866042, Time  0.177102
2021-09-11 16:48:30.297868 : Epoch  6, Batch   1519, Loss  0.852339, Average Loss  0.865959, Time  0.180923
2021-09-11 16:48:31.600894 : Epoch  6, Batch    749, Loss  0.862393, Average Loss  0.869444, Time  0.237732
2021-09-11 16:48:31.879866 : Epoch  6, Batch   1520, Loss  0.859911, Average Loss  0.865798, Time  0.170409
2021-09-11 16:48:33.467790 : Epoch  6, Batch   1521, Loss  0.866290, Average Loss  0.865638, Time  0.171481
2021-09-11 16:48:35.056777 : Epoch  6, Batch   1522, Loss  0.873136, Average Loss  0.865638, Time  0.169744
2021-09-11 16:48:36.674741 : Epoch  6, Batch   1523, Loss  0.893011, Average Loss  0.865875, Time  0.170451
2021-09-11 16:48:36.961386 : Epoch  6, Batch    750, Loss  0.856998, Average Loss  0.869436, Time  0.275386
2021-09-11 16:48:38.277030 : Epoch  6, Batch   1524, Loss  0.867782, Average Loss  0.865876, Time  0.169978
2021-09-11 16:48:39.870758 : Epoch  6, Batch   1525, Loss  0.858845, Average Loss  0.865862, Time  0.170120
2021-09-11 16:48:41.484037 : Epoch  6, Batch   1526, Loss  0.855320, Average Loss  0.865878, Time  0.172974
2021-09-11 16:48:41.970717 : Epoch  6, Batch    751, Loss  0.874420, Average Loss  0.869351, Time  0.574547
2021-09-11 16:48:43.114882 : Epoch  6, Batch   1527, Loss  0.876280, Average Loss  0.865900, Time  0.174967
2021-09-11 16:48:44.742043 : Epoch  6, Batch   1528, Loss  0.865665, Average Loss  0.865928, Time  0.173556
2021-09-11 16:48:46.337894 : Epoch  6, Batch   1529, Loss  0.866883, Average Loss  0.865816, Time  0.175424
2021-09-11 16:48:47.953922 : Epoch  6, Batch   1530, Loss  0.873269, Average Loss  0.865923, Time  0.178325
2021-09-11 16:48:48.147957 : Epoch  6, Batch    752, Loss  0.863893, Average Loss  0.869314, Time  0.466736
2021-09-11 16:48:49.562139 : Epoch  6, Batch   1531, Loss  0.889362, Average Loss  0.866043, Time  0.179971
2021-09-11 16:48:51.183747 : Epoch  6, Batch   1532, Loss  0.868849, Average Loss  0.866077, Time  0.183838
2021-09-11 16:48:52.824033 : Epoch  6, Batch   1533, Loss  0.895988, Average Loss  0.866145, Time  0.178244
2021-09-11 16:48:54.137380 : Epoch  6, Batch    753, Loss  0.879803, Average Loss  0.869426, Time  0.237266
2021-09-11 16:48:54.442823 : Epoch  6, Batch   1534, Loss  0.894709, Average Loss  0.866311, Time  0.169946
2021-09-11 16:48:56.016856 : Epoch  6, Batch   1535, Loss  0.867209, Average Loss  0.866393, Time  0.175001
2021-09-11 16:48:57.598950 : Epoch  6, Batch   1536, Loss  0.873340, Average Loss  0.866493, Time  0.171540
2021-09-11 16:48:59.185811 : Epoch  6, Batch   1537, Loss  0.874140, Average Loss  0.866524, Time  0.169625
2021-09-11 16:49:00.796040 : Epoch  6, Batch   1538, Loss  0.861311, Average Loss  0.866477, Time  0.172105
2021-09-11 16:49:01.874029 : Epoch  6, Batch    754, Loss  0.868637, Average Loss  0.869535, Time  0.314737
2021-09-11 16:49:02.401848 : Epoch  6, Batch   1539, Loss  0.833716, Average Loss  0.866531, Time  0.169800
2021-09-11 16:49:04.013780 : Epoch  6, Batch   1540, Loss  0.861175, Average Loss  0.866498, Time  0.173280
2021-09-11 16:49:05.615827 : Epoch  6, Batch   1541, Loss  0.878320, Average Loss  0.866628, Time  0.169746
2021-09-11 16:49:07.231032 : Epoch  6, Batch   1542, Loss  0.880821, Average Loss  0.866604, Time  0.178510
2021-09-11 16:49:08.833040 : Epoch  6, Batch   1543, Loss  0.846867, Average Loss  0.866557, Time  0.172935
2021-09-11 16:49:10.340000 : Epoch  6, Batch    755, Loss  0.884319, Average Loss  0.869615, Time  0.383776
2021-09-11 16:49:10.424923 : Epoch  6, Batch   1544, Loss  0.885771, Average Loss  0.866681, Time  0.170283
2021-09-11 16:49:12.010030 : Epoch  6, Batch   1545, Loss  0.905092, Average Loss  0.866953, Time  0.175036
2021-09-11 16:49:18.582038 : Epoch  6, Batch    756, Loss  0.863275, Average Loss  0.869482, Time  0.407418
2021-09-11 16:49:26.950634 : Epoch  6, Batch    757, Loss  0.868417, Average Loss  0.869473, Time  0.367630
2021-09-11 16:49:33.775456 : Epoch  6, Batch    758, Loss  0.872856, Average Loss  0.869421, Time  0.291742
2021-09-11 16:49:40.649876 : Epoch  6, Batch    759, Loss  0.878862, Average Loss  0.869484, Time  0.392608
2021-09-11 16:49:46.366069 : Epoch  6, Batch    760, Loss  0.843989, Average Loss  0.869373, Time  0.631355
2021-09-11 16:49:53.901892 : Epoch  6, Batch    761, Loss  0.866250, Average Loss  0.869315, Time  0.394318
2021-09-11 16:50:00.443431 : Epoch  6, Batch    762, Loss  0.855002, Average Loss  0.869314, Time  0.327409
2021-09-11 16:50:04.891852 : Epoch  6, Batch    763, Loss  0.866101, Average Loss  0.869322, Time  0.257675
2021-09-11 16:50:11.530983 : Epoch  6, Batch    764, Loss  0.877014, Average Loss  0.869233, Time  0.278005
2021-09-11 16:50:16.208004 : Epoch  6, Batch    765, Loss  0.886282, Average Loss  0.869394, Time  0.315310
2021-09-11 16:50:22.142245 : Epoch  6, Batch    766, Loss  0.858485, Average Loss  0.869374, Time  0.290483
2021-09-11 16:50:29.000470 : Epoch  6, Batch    767, Loss  0.863077, Average Loss  0.869219, Time  0.274984
2021-09-11 16:50:36.764960 : Epoch  6, Batch    768, Loss  0.858886, Average Loss  0.869302, Time  0.618289
2021-09-11 16:50:45.377896 : Epoch  6, Batch    769, Loss  0.879301, Average Loss  0.869240, Time  0.246165
2021-09-11 16:50:49.802077 : Epoch  6, Batch    770, Loss  0.875311, Average Loss  0.869260, Time  0.408024
2021-09-11 16:50:56.122981 : Epoch  6, Batch    771, Loss  0.868225, Average Loss  0.869341, Time  0.340847
2021-09-11 16:51:02.512910 : Epoch  6, Batch    772, Loss  0.865244, Average Loss  0.869286, Time  0.299718
2021-09-11 16:51:07.882150 : Epoch  6, Batch    773, Loss  0.862177, Average Loss  0.869156, Time  0.431472
2021-09-11 16:51:14.171010 : Epoch  6, Batch    774, Loss  0.864468, Average Loss  0.869215, Time  0.399822
2021-09-11 16:51:17.911406 : Epoch  6, Batch    775, Loss  0.874842, Average Loss  0.869292, Time  0.237415
2021-09-11 16:51:26.308881 : Epoch  6, Batch    776, Loss  0.871017, Average Loss  0.869343, Time  0.276981
2021-09-11 16:51:32.387422 : Epoch  6, Batch    777, Loss  0.861719, Average Loss  0.869314, Time  0.287860
2021-09-11 16:51:35.632028 : Epoch  6, Batch    778, Loss  0.874319, Average Loss  0.869335, Time  0.240377
2021-09-11 16:51:39.691186 : Epoch  6, Batch    779, Loss  0.879074, Average Loss  0.869383, Time  0.237870
2021-09-11 16:51:44.142097 : Epoch  6, Batch    780, Loss  0.870897, Average Loss  0.869379, Time  0.312021
2021-09-11 16:51:51.324425 : Epoch  6, Batch    781, Loss  0.855007, Average Loss  0.869328, Time  0.349738
2021-09-11 16:51:58.519265 : Epoch  6, Batch    782, Loss  0.846704, Average Loss  0.869288, Time  0.256496
2021-09-11 16:52:06.620851 : Epoch  6, Batch    783, Loss  0.857855, Average Loss  0.869343, Time  0.500084
2021-09-11 16:52:14.070878 : Epoch  6, Batch    784, Loss  0.871410, Average Loss  0.869398, Time  0.298229
2021-09-11 16:52:20.421424 : Epoch  6, Batch    785, Loss  0.861387, Average Loss  0.869424, Time  0.318923
2021-09-11 16:52:25.422973 : Epoch  6, Batch    786, Loss  0.840150, Average Loss  0.869347, Time  0.286775
2021-09-11 16:52:29.302395 : Epoch  6, Batch    787, Loss  0.883508, Average Loss  0.869403, Time  0.275144
2021-09-11 16:52:38.231950 : Epoch  6, Batch    788, Loss  0.836895, Average Loss  0.869255, Time  0.271788
2021-09-11 16:52:41.793087 : Epoch  6, Batch    789, Loss  0.865787, Average Loss  0.869188, Time  0.302270
2021-09-11 16:52:45.919452 : Epoch  6, Batch    790, Loss  0.870107, Average Loss  0.869154, Time  0.238001
2021-09-11 16:52:53.868906 : Epoch  6, Batch    791, Loss  0.877259, Average Loss  0.869109, Time  0.349730
2021-09-11 16:53:01.081074 : Epoch  6, Batch    792, Loss  0.859333, Average Loss  0.869026, Time  0.376842
2021-09-11 16:53:07.009876 : Epoch  6, Batch    793, Loss  0.836365, Average Loss  0.868874, Time  0.244764
2021-09-11 16:53:15.077914 : Epoch  6, Batch    794, Loss  0.858248, Average Loss  0.868764, Time  0.326865
2021-09-11 16:53:18.993946 : Epoch  6, Batch    795, Loss  0.849083, Average Loss  0.868591, Time  0.331385
2021-09-11 16:53:23.948850 : Epoch  6, Batch    796, Loss  0.879612, Average Loss  0.868606, Time  0.339424
2021-09-11 16:53:30.067819 : Epoch  6, Batch    797, Loss  0.890454, Average Loss  0.868694, Time  0.344610
2021-09-11 16:53:36.912836 : Epoch  6, Batch    798, Loss  0.866937, Average Loss  0.868698, Time  0.377056
2021-09-11 16:53:44.531060 : Epoch  6, Batch    799, Loss  0.867958, Average Loss  0.868595, Time  0.435570
2021-09-11 16:53:51.594471 : Epoch  6, Batch    800, Loss  0.874071, Average Loss  0.868606, Time  0.346222
2021-09-11 16:53:53.130065 : CheckPoint: Validation Loss  0.00061973, Best Loss  0.00057296
2021-09-11 16:53:54.753859 : Epoch  6, Batch   1546, Loss  0.899200, Average Loss  0.867322, Time  0.178493
2021-09-11 16:53:56.359030 : Epoch  6, Batch   1547, Loss  0.871249, Average Loss  0.867430, Time  0.174829
2021-09-11 16:53:57.965998 : Epoch  6, Batch   1548, Loss  0.859600, Average Loss  0.867605, Time  0.171581
2021-09-11 16:53:58.056452 : Epoch  6, Batch    801, Loss  0.880986, Average Loss  0.868703, Time  0.278599
2021-09-11 16:53:59.568018 : Epoch  6, Batch   1549, Loss  0.878915, Average Loss  0.867680, Time  0.172210
2021-09-11 16:54:01.163739 : Epoch  6, Batch   1550, Loss  0.837344, Average Loss  0.867665, Time  0.180965
2021-09-11 16:54:02.783780 : Epoch  6, Batch   1551, Loss  0.880281, Average Loss  0.867884, Time  0.175903
2021-09-11 16:54:03.759481 : Epoch  6, Batch    802, Loss  0.860640, Average Loss  0.868643, Time  0.301413
2021-09-11 16:54:04.405019 : Epoch  6, Batch   1552, Loss  0.855443, Average Loss  0.867761, Time  0.174948
2021-09-11 16:54:06.020760 : Epoch  6, Batch   1553, Loss  0.849710, Average Loss  0.867751, Time  0.179439
2021-09-11 16:54:07.646852 : Epoch  6, Batch   1554, Loss  0.861340, Average Loss  0.867724, Time  0.174722
2021-09-11 16:54:09.253793 : Epoch  6, Batch   1555, Loss  0.841480, Average Loss  0.867565, Time  0.184703
2021-09-11 16:54:10.857739 : Epoch  6, Batch   1556, Loss  0.878506, Average Loss  0.867629, Time  0.176762
2021-09-11 16:54:11.081034 : Epoch  6, Batch    803, Loss  0.869167, Average Loss  0.868607, Time  0.423373
2021-09-11 16:54:12.458028 : Epoch  6, Batch   1557, Loss  0.857736, Average Loss  0.867560, Time  0.171755
2021-09-11 16:54:14.055026 : Epoch  6, Batch   1558, Loss  0.870731, Average Loss  0.867499, Time  0.173287
2021-09-11 16:54:15.667775 : Epoch  6, Batch   1559, Loss  0.854300, Average Loss  0.867411, Time  0.171202
2021-09-11 16:54:15.896354 : Epoch  6, Batch    804, Loss  0.882132, Average Loss  0.868633, Time  0.325771
2021-09-11 16:54:17.295026 : Epoch  6, Batch   1560, Loss  0.867676, Average Loss  0.867433, Time  0.177250
2021-09-11 16:54:18.911031 : Epoch  6, Batch   1561, Loss  0.864008, Average Loss  0.867492, Time  0.172438
2021-09-11 16:54:20.513836 : Epoch  6, Batch   1562, Loss  0.882723, Average Loss  0.867563, Time  0.171673
2021-09-11 16:54:22.128034 : Epoch  6, Batch   1563, Loss  0.885928, Average Loss  0.867755, Time  0.176779
2021-09-11 16:54:23.740030 : Epoch  6, Batch   1564, Loss  0.857382, Average Loss  0.867697, Time  0.173054
2021-09-11 16:54:25.139441 : Epoch  6, Batch    805, Loss  0.846272, Average Loss  0.868457, Time  0.414153
2021-09-11 16:54:25.334066 : Epoch  6, Batch   1565, Loss  0.842816, Average Loss  0.867632, Time  0.171132
2021-09-11 16:54:26.941050 : Epoch  6, Batch   1566, Loss  0.880845, Average Loss  0.867555, Time  0.171647
2021-09-11 16:54:28.550771 : Epoch  6, Batch   1567, Loss  0.865058, Average Loss  0.867538, Time  0.170471
2021-09-11 16:54:30.166822 : Epoch  6, Batch   1568, Loss  0.888393, Average Loss  0.867408, Time  0.172175
2021-09-11 16:54:31.547872 : Epoch  6, Batch    806, Loss  0.858522, Average Loss  0.868432, Time  0.441915
2021-09-11 16:54:31.776030 : Epoch  6, Batch   1569, Loss  0.873375, Average Loss  0.867503, Time  0.172464
2021-09-11 16:54:33.382018 : Epoch  6, Batch   1570, Loss  0.886086, Average Loss  0.867499, Time  0.170619
2021-09-11 16:54:35.014036 : Epoch  6, Batch   1571, Loss  0.849642, Average Loss  0.867438, Time  0.174140
2021-09-11 16:54:36.632022 : Epoch  6, Batch   1572, Loss  0.872847, Average Loss  0.867458, Time  0.171510
2021-09-11 16:54:38.253382 : Epoch  6, Batch   1573, Loss  0.877875, Average Loss  0.867601, Time  0.176109
2021-09-11 16:54:38.902459 : Epoch  6, Batch    807, Loss  0.882461, Average Loss  0.868515, Time  0.373117
2021-09-11 16:54:39.853818 : Epoch  6, Batch   1574, Loss  0.872648, Average Loss  0.867690, Time  0.177188
2021-09-11 16:54:41.431904 : Epoch  6, Batch   1575, Loss  0.862481, Average Loss  0.867760, Time  0.169861
2021-09-11 16:54:43.025789 : Epoch  6, Batch   1576, Loss  0.827232, Average Loss  0.867505, Time  0.176579
2021-09-11 16:54:44.614798 : Epoch  6, Batch   1577, Loss  0.848308, Average Loss  0.867321, Time  0.170100
2021-09-11 16:54:46.225737 : Epoch  6, Batch   1578, Loss  0.878863, Average Loss  0.867320, Time  0.173363
2021-09-11 16:54:47.021271 : Epoch  6, Batch    808, Loss  0.878943, Average Loss  0.868607, Time  0.296357
2021-09-11 16:54:47.840037 : Epoch  6, Batch   1579, Loss  0.868642, Average Loss  0.867479, Time  0.173271
2021-09-11 16:54:49.472033 : Epoch  6, Batch   1580, Loss  0.884121, Average Loss  0.867707, Time  0.177552
2021-09-11 16:54:51.090794 : Epoch  6, Batch   1581, Loss  0.885791, Average Loss  0.867742, Time  0.176572
2021-09-11 16:54:52.722022 : Epoch  6, Batch   1582, Loss  0.855234, Average Loss  0.867657, Time  0.176541
2021-09-11 16:54:54.337024 : Epoch  6, Batch   1583, Loss  0.886511, Average Loss  0.867740, Time  0.174143
2021-09-11 16:54:55.820467 : Epoch  6, Batch    809, Loss  0.874272, Average Loss  0.868557, Time  0.442963
2021-09-11 16:54:55.912033 : Epoch  6, Batch   1584, Loss  0.869193, Average Loss  0.867698, Time  0.169956
2021-09-11 16:54:57.515752 : Epoch  6, Batch   1585, Loss  0.855210, Average Loss  0.867649, Time  0.175564
2021-09-11 16:54:59.112034 : Epoch  6, Batch   1586, Loss  0.881727, Average Loss  0.867654, Time  0.170391
2021-09-11 16:55:00.709873 : Epoch  6, Batch   1587, Loss  0.854688, Average Loss  0.867473, Time  0.173387
2021-09-11 16:55:02.305033 : Epoch  6, Batch   1588, Loss  0.842736, Average Loss  0.867428, Time  0.170069
2021-09-11 16:55:03.516941 : Epoch  6, Batch    810, Loss  0.880727, Average Loss  0.868650, Time  0.318946
2021-09-11 16:55:03.892800 : Epoch  6, Batch   1589, Loss  0.880581, Average Loss  0.867580, Time  0.169954
2021-09-11 16:55:05.512926 : Epoch  6, Batch   1590, Loss  0.845330, Average Loss  0.867595, Time  0.170163
2021-09-11 16:55:07.112035 : Epoch  6, Batch   1591, Loss  0.843349, Average Loss  0.867464, Time  0.172065
2021-09-11 16:55:08.714031 : Epoch  6, Batch   1592, Loss  0.843320, Average Loss  0.867449, Time  0.175163
2021-09-11 16:55:10.335820 : Epoch  6, Batch   1593, Loss  0.855268, Average Loss  0.867618, Time  0.178959
2021-09-11 16:55:11.948862 : Epoch  6, Batch   1594, Loss  0.875718, Average Loss  0.867763, Time  0.169860
2021-09-11 16:55:13.572867 : Epoch  6, Batch   1595, Loss  0.897194, Average Loss  0.867939, Time  0.173054
2021-09-11 16:55:14.359024 : Epoch  6, Batch    811, Loss  0.837693, Average Loss  0.868547, Time  0.562895
2021-09-11 16:55:15.165012 : Epoch  6, Batch   1596, Loss  0.883179, Average Loss  0.868060, Time  0.171467
2021-09-11 16:55:16.764061 : Epoch  6, Batch   1597, Loss  0.861294, Average Loss  0.868030, Time  0.170942
2021-09-11 16:55:18.386030 : Epoch  6, Batch   1598, Loss  0.843789, Average Loss  0.867899, Time  0.175784
2021-09-11 16:55:19.983837 : Epoch  6, Batch   1599, Loss  0.825960, Average Loss  0.867693, Time  0.174018
2021-09-11 16:55:21.571034 : Epoch  6, Batch   1600, Loss  0.845542, Average Loss  0.867518, Time  0.171056
2021-09-11 16:55:22.790190 : Epoch  6, Batch    812, Loss  0.856197, Average Loss  0.868506, Time  0.561069
2021-09-11 16:55:23.197035 : Epoch  6, Batch   1601, Loss  0.849520, Average Loss  0.867522, Time  0.171370
2021-09-11 16:55:24.789800 : Epoch  6, Batch   1602, Loss  0.857857, Average Loss  0.867417, Time  0.178401
2021-09-11 16:55:26.410033 : Epoch  6, Batch   1603, Loss  0.893361, Average Loss  0.867627, Time  0.175060
2021-09-11 16:55:28.020909 : Epoch  6, Batch   1604, Loss  0.910402, Average Loss  0.867651, Time  0.169798
2021-09-11 16:55:29.641871 : Epoch  6, Batch   1605, Loss  0.913778, Average Loss  0.867885, Time  0.170753
2021-09-11 16:55:30.127946 : Epoch  6, Batch    813, Loss  0.885725, Average Loss  0.868487, Time  0.450517
2021-09-11 16:55:31.244035 : Epoch  6, Batch   1606, Loss  0.876436, Average Loss  0.868019, Time  0.177119
2021-09-11 16:55:32.866034 : Epoch  6, Batch   1607, Loss  0.877802, Average Loss  0.868069, Time  0.175583
2021-09-11 16:55:33.870831 : Epoch  6, Batch    814, Loss  0.864600, Average Loss  0.868382, Time  0.266300
2021-09-11 16:55:34.474034 : Epoch  6, Batch   1608, Loss  0.856369, Average Loss  0.868023, Time  0.173128
2021-09-11 16:55:36.080792 : Epoch  6, Batch   1609, Loss  0.842521, Average Loss  0.867892, Time  0.174237
2021-09-11 16:55:37.694031 : Epoch  6, Batch   1610, Loss  0.891824, Average Loss  0.867976, Time  0.179298
2021-09-11 16:55:39.293036 : Epoch  6, Batch   1611, Loss  0.881661, Average Loss  0.868111, Time  0.172405
2021-09-11 16:55:40.879030 : Epoch  6, Batch   1612, Loss  0.894337, Average Loss  0.868188, Time  0.171589
2021-09-11 16:55:42.367943 : Epoch  6, Batch    815, Loss  0.863445, Average Loss  0.868422, Time  0.304166
2021-09-11 16:55:42.481819 : Epoch  6, Batch   1613, Loss  0.881276, Average Loss  0.868237, Time  0.171136
2021-09-11 16:55:44.075741 : Epoch  6, Batch   1614, Loss  0.865931, Average Loss  0.868120, Time  0.172231
2021-09-11 16:55:45.680830 : Epoch  6, Batch   1615, Loss  0.893808, Average Loss  0.868173, Time  0.171057
2021-09-11 16:55:46.814413 : Epoch  6, Batch    816, Loss  0.885140, Average Loss  0.868468, Time  0.412412
2021-09-11 16:55:47.298036 : Epoch  6, Batch   1616, Loss  0.844569, Average Loss  0.868056, Time  0.170829
2021-09-11 16:55:48.912842 : Epoch  6, Batch   1617, Loss  0.838861, Average Loss  0.867984, Time  0.173925
2021-09-11 16:55:50.535033 : Epoch  6, Batch   1618, Loss  0.866680, Average Loss  0.868081, Time  0.172765
2021-09-11 16:55:51.716913 : Epoch  6, Batch    817, Loss  0.862908, Average Loss  0.868435, Time  0.305012
2021-09-11 16:55:52.150756 : Epoch  6, Batch   1619, Loss  0.869512, Average Loss  0.868177, Time  0.170628
2021-09-11 16:55:53.752036 : Epoch  6, Batch   1620, Loss  0.881568, Average Loss  0.868214, Time  0.170191
2021-09-11 16:55:55.387775 : Epoch  6, Batch   1621, Loss  0.873773, Average Loss  0.868160, Time  0.171209
2021-09-11 16:55:57.007791 : Epoch  6, Batch   1622, Loss  0.852187, Average Loss  0.867953, Time  0.176571
2021-09-11 16:55:58.092993 : Epoch  6, Batch    818, Loss  0.854458, Average Loss  0.868389, Time  0.363974
2021-09-11 16:55:58.629753 : Epoch  6, Batch   1623, Loss  0.855002, Average Loss  0.867786, Time  0.170071
2021-09-11 16:56:00.257036 : Epoch  6, Batch   1624, Loss  0.886936, Average Loss  0.867960, Time  0.180594
2021-09-11 16:56:01.875833 : Epoch  6, Batch   1625, Loss  0.841037, Average Loss  0.867820, Time  0.170992
2021-09-11 16:56:03.496027 : Epoch  6, Batch   1626, Loss  0.864742, Average Loss  0.867690, Time  0.172846
2021-09-11 16:56:04.091906 : Epoch  6, Batch    819, Loss  0.880172, Average Loss  0.868390, Time  0.288596
2021-09-11 16:56:05.138829 : Epoch  6, Batch   1627, Loss  0.850734, Average Loss  0.867591, Time  0.175337
2021-09-11 16:56:06.760808 : Epoch  6, Batch   1628, Loss  0.867815, Average Loss  0.867765, Time  0.172704
2021-09-11 16:56:08.357885 : Epoch  6, Batch   1629, Loss  0.885366, Average Loss  0.867700, Time  0.183874
2021-09-11 16:56:09.974744 : Epoch  6, Batch   1630, Loss  0.887786, Average Loss  0.867788, Time  0.170622
2021-09-11 16:56:10.677333 : Epoch  6, Batch    820, Loss  0.875962, Average Loss  0.868554, Time  0.566123
2021-09-11 16:56:11.561515 : Epoch  6, Batch   1631, Loss  0.851494, Average Loss  0.867664, Time  0.169872
2021-09-11 16:56:13.195798 : Epoch  6, Batch   1632, Loss  0.840362, Average Loss  0.867557, Time  0.173897
2021-09-11 16:56:14.852833 : Epoch  6, Batch   1633, Loss  0.882050, Average Loss  0.867486, Time  0.181095
2021-09-11 16:56:16.445080 : Epoch  6, Batch   1634, Loss  0.855202, Average Loss  0.867348, Time  0.176767
2021-09-11 16:56:18.051018 : Epoch  6, Batch   1635, Loss  0.879966, Average Loss  0.867414, Time  0.170425
2021-09-11 16:56:19.652808 : Epoch  6, Batch   1636, Loss  0.834508, Average Loss  0.867076, Time  0.171867
2021-09-11 16:56:21.235761 : Epoch  6, Batch   1637, Loss  0.875875, Average Loss  0.867292, Time  0.171613
2021-09-11 16:56:22.831796 : Epoch  6, Batch   1638, Loss  0.888851, Average Loss  0.867372, Time  0.173661
2021-09-11 16:56:24.431783 : Epoch  6, Batch   1639, Loss  0.894367, Average Loss  0.867552, Time  0.172973
2021-09-11 16:56:26.050802 : Epoch  6, Batch   1640, Loss  0.861922, Average Loss  0.867569, Time  0.172626
2021-09-11 16:56:27.643034 : Epoch  6, Batch   1641, Loss  0.853252, Average Loss  0.867540, Time  0.172198
2021-09-11 16:56:29.241801 : Epoch  6, Batch   1642, Loss  0.873128, Average Loss  0.867594, Time  0.170620
2021-09-11 16:56:30.852889 : Epoch  6, Batch   1643, Loss  0.896966, Average Loss  0.867746, Time  0.170429
2021-09-11 16:56:32.458067 : Epoch  6, Batch   1644, Loss  0.837376, Average Loss  0.867508, Time  0.170379
2021-09-11 16:56:34.073047 : Epoch  6, Batch   1645, Loss  0.863045, Average Loss  0.867416, Time  0.172192
2021-09-11 17:01:14.838124 : CheckPoint: Validation Loss  0.00059015, Best Loss  0.00057296
2021-09-11 17:01:16.461898 : Epoch  6, Batch   1646, Loss  0.847484, Average Loss  0.867212, Time  0.184767
2021-09-11 17:01:18.066735 : Epoch  6, Batch   1647, Loss  0.871643, Average Loss  0.867142, Time  0.170469
2021-09-11 17:01:19.675799 : Epoch  6, Batch   1648, Loss  0.888960, Average Loss  0.867243, Time  0.171203
2021-09-11 17:01:21.286824 : Epoch  6, Batch   1649, Loss  0.863664, Average Loss  0.867015, Time  0.171774
2021-09-11 17:01:22.911014 : Epoch  6, Batch   1650, Loss  0.855616, Average Loss  0.866931, Time  0.177786
2021-09-11 17:01:24.542770 : Epoch  6, Batch   1651, Loss  0.855099, Average Loss  0.866907, Time  0.170013
2021-09-11 17:01:26.158018 : Epoch  6, Batch   1652, Loss  0.866221, Average Loss  0.867013, Time  0.175061
2021-09-11 17:01:27.758037 : Epoch  6, Batch   1653, Loss  0.885118, Average Loss  0.867075, Time  0.177900
2021-09-11 17:01:29.364030 : Epoch  6, Batch   1654, Loss  0.843109, Average Loss  0.867053, Time  0.171060
2021-09-11 17:01:30.968741 : Epoch  6, Batch   1655, Loss  0.872041, Average Loss  0.867093, Time  0.170167
2021-09-11 17:01:32.584848 : Epoch  6, Batch   1656, Loss  0.842651, Average Loss  0.866957, Time  0.169833
2021-09-11 17:01:34.211985 : Epoch  6, Batch   1657, Loss  0.870403, Average Loss  0.867055, Time  0.169472
2021-09-11 17:01:35.805018 : Epoch  6, Batch   1658, Loss  0.873590, Average Loss  0.867181, Time  0.169821
2021-09-11 17:01:37.401844 : Epoch  6, Batch   1659, Loss  0.844264, Average Loss  0.866971, Time  0.187540
2021-09-11 17:01:39.028821 : Epoch  6, Batch   1660, Loss  0.858399, Average Loss  0.867053, Time  0.178001
2021-09-11 17:01:40.642034 : Epoch  6, Batch   1661, Loss  0.894525, Average Loss  0.867315, Time  0.169792
2021-09-11 17:01:42.253028 : Epoch  6, Batch   1662, Loss  0.868956, Average Loss  0.867222, Time  0.174061
2021-09-11 17:01:43.856811 : Epoch  6, Batch   1663, Loss  0.873775, Average Loss  0.867203, Time  0.169822
2021-09-11 17:01:45.469003 : Epoch  6, Batch   1664, Loss  0.857258, Average Loss  0.867015, Time  0.169816
2021-09-11 17:01:47.080002 : Epoch  6, Batch   1665, Loss  0.848488, Average Loss  0.867086, Time  0.169624
2021-09-11 17:01:48.692849 : Epoch  6, Batch   1666, Loss  0.884784, Average Loss  0.867037, Time  0.169658
2021-09-11 17:01:50.300752 : Epoch  6, Batch   1667, Loss  0.842627, Average Loss  0.866995, Time  0.172111
2021-09-11 17:01:52.002032 : Epoch  6, Batch   1668, Loss  0.863180, Average Loss  0.867024, Time  0.170061
2021-09-11 17:01:53.620030 : Epoch  6, Batch   1669, Loss  0.861277, Average Loss  0.866975, Time  0.192831
2021-09-11 17:01:55.230015 : Epoch  6, Batch   1670, Loss  0.856468, Average Loss  0.866816, Time  0.172732
2021-09-11 17:01:56.820065 : Epoch  6, Batch   1671, Loss  0.875277, Average Loss  0.866868, Time  0.169536
2021-09-11 17:01:58.443995 : Epoch  6, Batch   1672, Loss  0.881452, Average Loss  0.866943, Time  0.169923
2021-09-11 17:02:00.055821 : Epoch  6, Batch   1673, Loss  0.867521, Average Loss  0.866880, Time  0.171999
2021-09-11 17:02:01.666850 : Epoch  6, Batch   1674, Loss  0.881066, Average Loss  0.867055, Time  0.183301
2021-09-11 17:02:03.273029 : Epoch  6, Batch   1675, Loss  0.904138, Average Loss  0.867211, Time  0.169998
2021-09-11 17:02:04.872025 : Epoch  6, Batch   1676, Loss  0.893238, Average Loss  0.867299, Time  0.169952
2021-09-11 17:02:06.458741 : Epoch  6, Batch   1677, Loss  0.887425, Average Loss  0.867494, Time  0.170364
2021-09-11 17:02:08.106787 : Epoch  6, Batch   1678, Loss  0.888519, Average Loss  0.867507, Time  0.178330
2021-09-11 17:02:09.730812 : Epoch  6, Batch   1679, Loss  0.846065, Average Loss  0.867446, Time  0.171326
2021-09-11 17:02:11.349821 : Epoch  6, Batch   1680, Loss  0.889888, Average Loss  0.867489, Time  0.171942
2021-09-11 17:02:12.948802 : Epoch  6, Batch   1681, Loss  0.882046, Average Loss  0.867524, Time  0.169912
2021-09-11 17:02:14.571821 : Epoch  6, Batch   1682, Loss  0.864511, Average Loss  0.867568, Time  0.170406
2021-09-11 17:02:16.209362 : Epoch  6, Batch   1683, Loss  0.869728, Average Loss  0.867603, Time  0.170056
2021-09-11 17:02:17.809796 : Epoch  6, Batch   1684, Loss  0.897150, Average Loss  0.867645, Time  0.169904
2021-09-11 17:02:19.410769 : Epoch  6, Batch   1685, Loss  0.861026, Average Loss  0.867673, Time  0.169680
2021-09-11 17:02:21.008794 : Epoch  6, Batch   1686, Loss  0.883106, Average Loss  0.867704, Time  0.169739
2021-09-11 17:02:22.595005 : Epoch  6, Batch   1687, Loss  0.860641, Average Loss  0.867570, Time  0.169507
2021-09-11 17:02:24.214001 : Epoch  6, Batch   1688, Loss  0.903705, Average Loss  0.867586, Time  0.169517
2021-09-11 17:02:25.815985 : Epoch  6, Batch   1689, Loss  0.877740, Average Loss  0.867677, Time  0.169413
2021-09-11 17:02:27.449790 : Epoch  6, Batch   1690, Loss  0.853172, Average Loss  0.867554, Time  0.169887
2021-09-11 17:02:29.055750 : Epoch  6, Batch   1691, Loss  0.844674, Average Loss  0.867450, Time  0.169693
2021-09-11 17:02:30.657769 : Epoch  6, Batch   1692, Loss  0.863759, Average Loss  0.867391, Time  0.169759
2021-09-11 17:02:32.269009 : Epoch  6, Batch   1693, Loss  0.859393, Average Loss  0.867389, Time  0.169571
2021-09-11 17:02:33.918001 : Epoch  6, Batch   1694, Loss  0.833736, Average Loss  0.867278, Time  0.169772
2021-09-11 17:02:35.546001 : Epoch  6, Batch   1695, Loss  0.900926, Average Loss  0.867573, Time  0.169744
2021-09-11 17:02:37.163922 : Epoch  6, Batch   1696, Loss  0.867214, Average Loss  0.867560, Time  0.169833
2021-09-11 17:02:38.759026 : Epoch  6, Batch   1697, Loss  0.875928, Average Loss  0.867653, Time  0.169885
2021-09-11 17:02:40.368864 : Epoch  6, Batch   1698, Loss  0.874218, Average Loss  0.867719, Time  0.169586
2021-09-11 17:02:41.981771 : Epoch  6, Batch   1699, Loss  0.877637, Average Loss  0.867708, Time  0.169744
2021-09-11 17:02:43.597037 : Epoch  6, Batch   1700, Loss  0.864086, Average Loss  0.867738, Time  0.171799
2021-09-11 17:02:45.232019 : Epoch  6, Batch   1701, Loss  0.869093, Average Loss  0.867827, Time  0.200678
2021-09-11 17:02:46.842748 : Epoch  6, Batch   1702, Loss  0.867528, Average Loss  0.867853, Time  0.171132
2021-09-11 17:02:48.438744 : Epoch  6, Batch   1703, Loss  0.868057, Average Loss  0.867940, Time  0.170091
2021-09-11 17:02:50.054760 : Epoch  6, Batch   1704, Loss  0.848461, Average Loss  0.867838, Time  0.176266
2021-09-11 17:02:51.662827 : Epoch  6, Batch   1705, Loss  0.903782, Average Loss  0.867802, Time  0.177538
2021-09-11 17:02:53.274995 : Epoch  6, Batch   1706, Loss  0.854567, Average Loss  0.867841, Time  0.169577
2021-09-11 17:02:54.907805 : Epoch  6, Batch   1707, Loss  0.877905, Average Loss  0.867904, Time  0.171659
2021-09-11 17:02:56.526005 : Epoch  6, Batch   1708, Loss  0.844869, Average Loss  0.867995, Time  0.170515
2021-09-11 17:02:58.139984 : Epoch  6, Batch   1709, Loss  0.891723, Average Loss  0.868164, Time  0.169843
2021-09-11 17:02:59.765856 : Epoch  6, Batch   1710, Loss  0.868294, Average Loss  0.868095, Time  0.169413
2021-09-11 17:03:01.382984 : Epoch  6, Batch   1711, Loss  0.876030, Average Loss  0.868117, Time  0.169897
2021-09-11 17:03:02.987758 : Epoch  6, Batch   1712, Loss  0.877951, Average Loss  0.868252, Time  0.169785
2021-09-11 17:03:04.593807 : Epoch  6, Batch   1713, Loss  0.844563, Average Loss  0.868176, Time  0.169901
2021-09-11 17:03:06.197994 : Epoch  6, Batch   1714, Loss  0.857182, Average Loss  0.868240, Time  0.170092
2021-09-11 17:03:07.801744 : Epoch  6, Batch   1715, Loss  0.864592, Average Loss  0.868140, Time  0.169523
2021-09-11 17:03:09.411753 : Epoch  6, Batch   1716, Loss  0.889494, Average Loss  0.868413, Time  0.170030
2021-09-11 17:03:11.018992 : Epoch  6, Batch   1717, Loss  0.873907, Average Loss  0.868465, Time  0.169655
2021-09-11 17:03:12.638999 : Epoch  6, Batch   1718, Loss  0.842069, Average Loss  0.868351, Time  0.169996
2021-09-11 17:03:14.249002 : Epoch  6, Batch   1719, Loss  0.888344, Average Loss  0.868531, Time  0.169694
2021-09-11 17:03:15.860808 : Epoch  6, Batch   1720, Loss  0.881859, Average Loss  0.868641, Time  0.169712
2021-09-11 17:03:17.507004 : Epoch  6, Batch   1721, Loss  0.868675, Average Loss  0.868653, Time  0.169559
2021-09-11 17:03:19.112848 : Epoch  6, Batch   1722, Loss  0.891157, Average Loss  0.868743, Time  0.170238
2021-09-11 17:03:20.707794 : Epoch  6, Batch   1723, Loss  0.845476, Average Loss  0.868505, Time  0.169677
2021-09-11 17:03:22.307768 : Epoch  6, Batch   1724, Loss  0.859516, Average Loss  0.868464, Time  0.169725
2021-09-11 17:03:23.930750 : Epoch  6, Batch   1725, Loss  0.879081, Average Loss  0.868565, Time  0.169867
2021-09-11 17:03:25.569001 : Epoch  6, Batch   1726, Loss  0.883575, Average Loss  0.868707, Time  0.169720
2021-09-11 17:03:27.169996 : Epoch  6, Batch   1727, Loss  0.864322, Average Loss  0.868647, Time  0.169709
2021-09-11 17:03:28.791820 : Epoch  6, Batch   1728, Loss  0.879289, Average Loss  0.868715, Time  0.169704
2021-09-11 17:03:30.414753 : Epoch  6, Batch   1729, Loss  0.867046, Average Loss  0.868716, Time  0.169846
2021-09-11 17:03:32.042754 : Epoch  6, Batch   1730, Loss  0.839564, Average Loss  0.868547, Time  0.169795
2021-09-11 17:03:33.647751 : Epoch  6, Batch   1731, Loss  0.878487, Average Loss  0.868493, Time  0.169763
2021-09-11 17:03:35.252002 : Epoch  6, Batch   1732, Loss  0.883461, Average Loss  0.868566, Time  0.169762
2021-09-11 17:03:36.857995 : Epoch  6, Batch   1733, Loss  0.864964, Average Loss  0.868411, Time  0.169794
2021-09-11 17:03:38.505992 : Epoch  6, Batch   1734, Loss  0.883412, Average Loss  0.868354, Time  0.169708
2021-09-11 17:03:40.111007 : Epoch  6, Batch   1735, Loss  0.872236, Average Loss  0.868379, Time  0.169648
2021-09-11 17:03:41.717993 : Epoch  6, Batch   1736, Loss  0.854272, Average Loss  0.868284, Time  0.169381
2021-09-11 17:03:43.352993 : Epoch  6, Batch   1737, Loss  0.874978, Average Loss  0.868288, Time  0.172145
2021-09-11 17:03:44.957003 : Epoch  6, Batch   1738, Loss  0.883265, Average Loss  0.868398, Time  0.169660
2021-09-11 17:03:46.564990 : Epoch  6, Batch   1739, Loss  0.876916, Average Loss  0.868614, Time  0.169747
2021-09-11 17:03:48.172000 : Epoch  6, Batch   1740, Loss  0.883769, Average Loss  0.868727, Time  0.169878
2021-09-11 17:03:49.775990 : Epoch  6, Batch   1741, Loss  0.877157, Average Loss  0.868721, Time  0.169386
2021-09-11 17:03:51.386998 : Epoch  6, Batch   1742, Loss  0.860645, Average Loss  0.868620, Time  0.169262
2021-09-11 17:03:52.988745 : Epoch  6, Batch   1743, Loss  0.891636, Average Loss  0.868844, Time  0.171382
2021-09-11 17:03:54.600998 : Epoch  6, Batch   1744, Loss  0.902930, Average Loss  0.868930, Time  0.169399
2021-09-11 17:03:56.209979 : Epoch  6, Batch   1745, Loss  0.851625, Average Loss  0.868663, Time  0.169570
2021-09-11 17:05:04.489765 : CheckPoint: Validation Loss  0.00029948, Best Loss  0.00029019
2021-09-11 17:05:09.248287 : Epoch  6, Batch    821, Loss  0.864163, Average Loss  0.868449, Time  0.279939
2021-09-11 17:05:13.534444 : Epoch  6, Batch    822, Loss  0.864086, Average Loss  0.868381, Time  0.282322
2021-09-11 17:05:19.014594 : Epoch  6, Batch    823, Loss  0.886089, Average Loss  0.868403, Time  0.320931
2021-09-11 17:05:24.209408 : Epoch  6, Batch    824, Loss  0.889768, Average Loss  0.868486, Time  0.310004
2021-09-11 17:05:28.361864 : Epoch  6, Batch    825, Loss  0.890555, Average Loss  0.868619, Time  0.356931
2021-09-11 17:05:31.165139 : Epoch  6, Batch    826, Loss  0.854568, Average Loss  0.868578, Time  0.304205
2021-09-11 17:05:34.657145 : Epoch  6, Batch    827, Loss  0.871100, Average Loss  0.868557, Time  0.238407
2021-09-11 17:05:41.276122 : Epoch  6, Batch    828, Loss  0.878501, Average Loss  0.868611, Time  0.474773
2021-09-11 17:05:46.828950 : Epoch  6, Batch    829, Loss  0.860460, Average Loss  0.868488, Time  0.302026
2021-09-11 17:05:56.502466 : Epoch  6, Batch    830, Loss  0.864510, Average Loss  0.868399, Time  0.477847
2021-09-11 17:06:02.806754 : Epoch  6, Batch    831, Loss  0.880197, Average Loss  0.868470, Time  0.426475
2021-09-11 17:06:10.379004 : Epoch  6, Batch    832, Loss  0.860805, Average Loss  0.868390, Time  0.275410
2021-09-11 17:06:16.620218 : Epoch  6, Batch    833, Loss  0.871081, Average Loss  0.868470, Time  0.251313
2021-09-11 17:06:21.791911 : Epoch  6, Batch    834, Loss  0.873618, Average Loss  0.868578, Time  0.272315
2021-09-11 17:06:27.201498 : Epoch  6, Batch    835, Loss  0.875736, Average Loss  0.868707, Time  0.290653
2021-09-11 17:06:31.319640 : Epoch  6, Batch    836, Loss  0.880579, Average Loss  0.868731, Time  0.367025
2021-09-11 17:06:35.133832 : Epoch  6, Batch    837, Loss  0.877317, Average Loss  0.868808, Time  0.411382
2021-09-11 17:06:38.831209 : Epoch  6, Batch    838, Loss  0.870033, Average Loss  0.868819, Time  0.262845
2021-09-11 17:06:43.537460 : Epoch  6, Batch    839, Loss  0.875607, Average Loss  0.868855, Time  0.303350
2021-09-11 17:06:47.778703 : Epoch  6, Batch    840, Loss  0.846698, Average Loss  0.868788, Time  0.417636
2021-09-11 17:06:53.202118 : Epoch  6, Batch    841, Loss  0.862153, Average Loss  0.868700, Time  0.287192
2021-09-11 17:06:56.601101 : Epoch  6, Batch    842, Loss  0.862462, Average Loss  0.868655, Time  0.237465
2021-09-11 17:07:00.822884 : Epoch  6, Batch    843, Loss  0.873446, Average Loss  0.868695, Time  0.267186
2021-09-11 17:07:04.704049 : Epoch  6, Batch    844, Loss  0.863780, Average Loss  0.868660, Time  0.299032
2021-09-11 17:07:10.670949 : Epoch  6, Batch    845, Loss  0.871589, Average Loss  0.868588, Time  0.446345
2021-09-11 17:07:17.153893 : Epoch  6, Batch    846, Loss  0.855360, Average Loss  0.868444, Time  0.475088
2021-09-11 17:07:25.128962 : Epoch  6, Batch    847, Loss  0.866832, Average Loss  0.868405, Time  0.294191
2021-09-11 17:07:30.734853 : Epoch  6, Batch    848, Loss  0.870114, Average Loss  0.868375, Time  0.298239
2021-09-11 17:07:38.881131 : Epoch  6, Batch    849, Loss  0.875266, Average Loss  0.868330, Time  0.499151
2021-09-11 17:07:42.130475 : Epoch  6, Batch    850, Loss  0.858755, Average Loss  0.868258, Time  0.245891
2021-09-11 17:07:47.552853 : Epoch  6, Batch    851, Loss  0.875801, Average Loss  0.868347, Time  0.352392
2021-09-11 17:07:51.450432 : Epoch  6, Batch    852, Loss  0.878274, Average Loss  0.868457, Time  0.386300
2021-09-11 17:07:57.061019 : Epoch  6, Batch    853, Loss  0.878596, Average Loss  0.868556, Time  0.372277
2021-09-11 17:08:03.900135 : Epoch  6, Batch    854, Loss  0.848786, Average Loss  0.868513, Time  0.407758
2021-09-11 17:08:11.265274 : Epoch  6, Batch    855, Loss  0.882400, Average Loss  0.868475, Time  0.546216
2021-09-11 17:08:14.556441 : Epoch  6, Batch    856, Loss  0.861616, Average Loss  0.868456, Time  0.296459
2021-09-11 17:08:19.070851 : Epoch  6, Batch    857, Loss  0.856234, Average Loss  0.868422, Time  0.238038
2021-09-11 17:08:22.458114 : Epoch  6, Batch    858, Loss  0.856955, Average Loss  0.868419, Time  0.345543
2021-09-11 17:08:27.328427 : Epoch  6, Batch    859, Loss  0.860942, Average Loss  0.868452, Time  0.326007
2021-09-11 17:08:31.830143 : Epoch  6, Batch    860, Loss  0.875092, Average Loss  0.868457, Time  0.465169
2021-09-11 17:08:35.918054 : Epoch  6, Batch    861, Loss  0.864747, Average Loss  0.868390, Time  0.269945
2021-09-11 17:08:36.577037 : CheckPoint: Validation Loss  0.00060289, Best Loss  0.00057296
2021-09-11 17:08:38.201923 : Epoch  6, Batch   1746, Loss  0.868860, Average Loss  0.868511, Time  0.177663
2021-09-11 17:08:39.808747 : Epoch  6, Batch   1747, Loss  0.893704, Average Loss  0.868623, Time  0.170299
2021-09-11 17:08:41.262983 : Epoch  6, Batch    862, Loss  0.865049, Average Loss  0.868402, Time  0.269765
2021-09-11 17:08:41.408844 : Epoch  6, Batch   1748, Loss  0.828915, Average Loss  0.868470, Time  0.172147
2021-09-11 17:08:43.012993 : Epoch  6, Batch   1749, Loss  0.873264, Average Loss  0.868442, Time  0.169740
2021-09-11 17:08:44.616843 : Epoch  6, Batch   1750, Loss  0.878427, Average Loss  0.868647, Time  0.169702
2021-09-11 17:08:46.222836 : Epoch  6, Batch   1751, Loss  0.874920, Average Loss  0.868620, Time  0.170085
2021-09-11 17:08:46.405909 : Epoch  6, Batch    863, Loss  0.862055, Average Loss  0.868384, Time  0.289055
2021-09-11 17:08:47.822773 : Epoch  6, Batch   1752, Loss  0.881796, Average Loss  0.868752, Time  0.169619
2021-09-11 17:08:49.436832 : Epoch  6, Batch   1753, Loss  0.849562, Average Loss  0.868751, Time  0.169492
2021-09-11 17:08:49.927842 : Epoch  6, Batch    864, Loss  0.866735, Average Loss  0.868479, Time  0.328642
2021-09-11 17:08:51.050997 : Epoch  6, Batch   1754, Loss  0.861245, Average Loss  0.868751, Time  0.169942
2021-09-11 17:08:52.663995 : Epoch  6, Batch   1755, Loss  0.848310, Average Loss  0.868785, Time  0.169680
2021-09-11 17:08:54.265998 : Epoch  6, Batch   1756, Loss  0.868507, Average Loss  0.868735, Time  0.169608
2021-09-11 17:08:55.884986 : Epoch  6, Batch   1757, Loss  0.902031, Average Loss  0.868956, Time  0.170088
2021-09-11 17:08:55.950114 : Epoch  6, Batch    865, Loss  0.872999, Average Loss  0.868582, Time  0.324420
2021-09-11 17:08:57.496981 : Epoch  6, Batch   1758, Loss  0.842153, Average Loss  0.868813, Time  0.169471
2021-09-11 17:08:59.099849 : Epoch  6, Batch   1759, Loss  0.820017, Average Loss  0.868642, Time  0.169912
2021-09-11 17:08:59.189031 : Epoch  6, Batch    866, Loss  0.881705, Average Loss  0.868586, Time  0.346110
2021-09-11 17:09:00.708857 : Epoch  6, Batch   1760, Loss  0.874569, Average Loss  0.868676, Time  0.170046
2021-09-11 17:09:01.948110 : Epoch  6, Batch    867, Loss  0.870478, Average Loss  0.868608, Time  0.402535
2021-09-11 17:09:02.311019 : Epoch  6, Batch   1761, Loss  0.859634, Average Loss  0.868655, Time  0.169796
2021-09-11 17:09:03.915766 : Epoch  6, Batch   1762, Loss  0.853182, Average Loss  0.868507, Time  0.169484
2021-09-11 17:09:05.515998 : Epoch  6, Batch   1763, Loss  0.872681, Average Loss  0.868441, Time  0.169819
2021-09-11 17:09:07.130897 : Epoch  6, Batch   1764, Loss  0.865119, Average Loss  0.868479, Time  0.169850
2021-09-11 17:09:07.293449 : Epoch  6, Batch    868, Loss  0.881326, Average Loss  0.868719, Time  0.260380
2021-09-11 17:09:08.741754 : Epoch  6, Batch   1765, Loss  0.893517, Average Loss  0.868733, Time  0.169740
2021-09-11 17:09:10.353872 : Epoch  6, Batch   1766, Loss  0.875168, Average Loss  0.868704, Time  0.169934
2021-09-11 17:09:11.952849 : Epoch  6, Batch   1767, Loss  0.852120, Average Loss  0.868640, Time  0.169539
2021-09-11 17:09:13.166094 : Epoch  6, Batch    869, Loss  0.873860, Average Loss  0.868755, Time  0.350978
2021-09-11 17:09:13.579751 : Epoch  6, Batch   1768, Loss  0.863591, Average Loss  0.868516, Time  0.169615
2021-09-11 17:09:15.188009 : Epoch  6, Batch   1769, Loss  0.868321, Average Loss  0.868490, Time  0.169558
2021-09-11 17:09:16.797793 : Epoch  6, Batch   1770, Loss  0.886345, Average Loss  0.868492, Time  0.169728
2021-09-11 17:09:18.207443 : Epoch  6, Batch    870, Loss  0.867210, Average Loss  0.868714, Time  0.265358
2021-09-11 17:09:18.401853 : Epoch  6, Batch   1771, Loss  0.874123, Average Loss  0.868614, Time  0.169511
2021-09-11 17:09:19.990759 : Epoch  6, Batch   1772, Loss  0.866516, Average Loss  0.868583, Time  0.169873
2021-09-11 17:09:21.599998 : Epoch  6, Batch   1773, Loss  0.869054, Average Loss  0.868538, Time  0.169478
2021-09-11 17:09:23.213489 : Epoch  6, Batch    871, Loss  0.841031, Average Loss  0.868620, Time  0.272955
2021-09-11 17:09:24.823921 : Epoch  6, Batch   1775, Loss  0.882264, Average Loss  0.868667, Time  0.169786
2021-09-11 17:09:26.446778 : Epoch  6, Batch   1776, Loss  0.862473, Average Loss  0.868843, Time  0.169879
2021-09-11 17:09:27.153445 : Epoch  6, Batch    872, Loss  0.867300, Average Loss  0.868616, Time  0.259461
2021-09-11 17:09:28.078002 : Epoch  6, Batch   1777, Loss  0.846258, Average Loss  0.868833, Time  0.169835
2021-09-11 17:09:29.693985 : Epoch  6, Batch   1778, Loss  0.842721, Average Loss  0.868652, Time  0.170004
2021-09-11 17:09:31.324979 : Epoch  6, Batch   1779, Loss  0.866189, Average Loss  0.868640, Time  0.170005
2021-09-11 17:09:32.504856 : Epoch  6, Batch    873, Loss  0.877529, Average Loss  0.868583, Time  0.375881
2021-09-11 17:09:32.951832 : Epoch  6, Batch   1780, Loss  0.866861, Average Loss  0.868554, Time  0.169742
2021-09-11 17:09:34.543982 : Epoch  6, Batch   1781, Loss  0.880344, Average Loss  0.868526, Time  0.169862
2021-09-11 17:09:36.166978 : Epoch  6, Batch   1782, Loss  0.848706, Average Loss  0.868494, Time  0.169748
2021-09-11 17:09:37.801987 : Epoch  6, Batch   1783, Loss  0.856752, Average Loss  0.868345, Time  0.169866
2021-09-11 17:09:39.408981 : Epoch  6, Batch   1784, Loss  0.830622, Average Loss  0.868152, Time  0.170861
2021-09-11 17:09:39.774457 : Epoch  6, Batch    874, Loss  0.866786, Average Loss  0.868581, Time  0.487542
2021-09-11 17:09:41.014750 : Epoch  6, Batch   1785, Loss  0.832127, Average Loss  0.868037, Time  0.169774
2021-09-11 17:09:42.625807 : Epoch  6, Batch   1786, Loss  0.846759, Average Loss  0.867862, Time  0.175345
2021-09-11 17:09:43.767739 : Epoch  6, Batch    875, Loss  0.863447, Average Loss  0.868559, Time  0.473477
2021-09-11 17:09:44.258035 : Epoch  6, Batch   1787, Loss  0.874785, Average Loss  0.867962, Time  0.183077
2021-09-11 17:09:45.838843 : Epoch  6, Batch   1788, Loss  0.871675, Average Loss  0.868107, Time  0.169960
2021-09-11 17:09:47.450783 : Epoch  6, Batch   1789, Loss  0.880968, Average Loss  0.868109, Time  0.172580
2021-09-11 17:09:49.055013 : Epoch  6, Batch   1790, Loss  0.835430, Average Loss  0.868060, Time  0.169516
2021-09-11 17:09:50.680726 : Epoch  6, Batch   1791, Loss  0.891806, Average Loss  0.868302, Time  0.171275
2021-09-11 17:09:52.195654 : Epoch  6, Batch    876, Loss  0.870297, Average Loss  0.868672, Time  0.287241
2021-09-11 17:09:52.293887 : Epoch  6, Batch   1792, Loss  0.835956, Average Loss  0.868265, Time  0.170161
2021-09-11 17:09:53.924747 : Epoch  6, Batch   1793, Loss  0.864015, Average Loss  0.868309, Time  0.172987
2021-09-11 17:09:55.536020 : Epoch  6, Batch   1794, Loss  0.873169, Average Loss  0.868296, Time  0.176152
2021-09-11 17:09:57.146022 : Epoch  6, Batch   1795, Loss  0.877797, Average Loss  0.868199, Time  0.172255
2021-09-11 17:09:58.350857 : Epoch  6, Batch    877, Loss  0.895211, Average Loss  0.868714, Time  0.331160
2021-09-11 17:09:58.766030 : Epoch  6, Batch   1796, Loss  0.862920, Average Loss  0.868098, Time  0.170225
2021-09-11 17:10:00.376030 : Epoch  6, Batch   1797, Loss  0.881370, Average Loss  0.868198, Time  0.169900
2021-09-11 17:10:01.990020 : Epoch  6, Batch   1798, Loss  0.886424, Average Loss  0.868411, Time  0.169724
2021-09-11 17:10:03.578817 : Epoch  6, Batch   1799, Loss  0.876055, Average Loss  0.868662, Time  0.171337
2021-09-11 17:10:05.180044 : Epoch  6, Batch   1800, Loss  0.883636, Average Loss  0.868852, Time  0.170147
2021-09-11 17:10:06.791785 : Epoch  6, Batch   1801, Loss  0.883488, Average Loss  0.869022, Time  0.169787
2021-09-11 17:10:07.302531 : Epoch  6, Batch    878, Loss  0.879180, Average Loss  0.868667, Time  0.487099
2021-09-11 17:10:08.394995 : Epoch  6, Batch   1802, Loss  0.893239, Average Loss  0.869199, Time  0.169860
2021-09-11 17:10:10.008772 : Epoch  6, Batch   1803, Loss  0.889488, Average Loss  0.869180, Time  0.169942
2021-09-11 17:10:11.615993 : Epoch  6, Batch   1804, Loss  0.865087, Average Loss  0.868953, Time  0.169627
2021-09-11 17:10:13.235784 : Epoch  6, Batch   1805, Loss  0.860545, Average Loss  0.868687, Time  0.170205
2021-09-11 17:10:14.553909 : Epoch  6, Batch    879, Loss  0.886149, Average Loss  0.868723, Time  0.343604
2021-09-11 17:10:14.846996 : Epoch  6, Batch   1806, Loss  0.875574, Average Loss  0.868683, Time  0.169886
2021-09-11 17:10:16.448999 : Epoch  6, Batch   1807, Loss  0.878697, Average Loss  0.868687, Time  0.172429
2021-09-11 17:10:18.069012 : Epoch  6, Batch   1808, Loss  0.870943, Average Loss  0.868760, Time  0.169878
2021-09-11 17:10:19.680794 : Epoch  6, Batch   1809, Loss  0.845506, Average Loss  0.868775, Time  0.170247
2021-09-11 17:10:21.293016 : Epoch  6, Batch   1810, Loss  0.883626, Average Loss  0.868734, Time  0.169834
2021-09-11 17:10:22.449854 : Epoch  6, Batch    880, Loss  0.865362, Average Loss  0.868692, Time  0.400622
2021-09-11 17:10:22.896018 : Epoch  6, Batch   1811, Loss  0.871691, Average Loss  0.868684, Time  0.169770
2021-09-11 17:10:24.500123 : Epoch  6, Batch   1812, Loss  0.833275, Average Loss  0.868379, Time  0.170160
2021-09-11 17:10:26.099074 : Epoch  6, Batch   1813, Loss  0.869822, Average Loss  0.868321, Time  0.169999
2021-09-11 17:10:27.694906 : Epoch  6, Batch   1814, Loss  0.870437, Average Loss  0.868344, Time  0.169974
2021-09-11 17:10:29.306753 : Epoch  6, Batch   1815, Loss  0.870837, Average Loss  0.868229, Time  0.170119
2021-09-11 17:10:30.916024 : Epoch  6, Batch   1816, Loss  0.861628, Average Loss  0.868314, Time  0.169827
2021-09-11 17:10:32.434333 : Epoch  6, Batch    881, Loss  0.870203, Average Loss  0.868751, Time  0.592249
2021-09-11 17:10:32.537790 : Epoch  6, Batch   1817, Loss  0.866404, Average Loss  0.868452, Time  0.170424
2021-09-11 17:10:34.138825 : Epoch  6, Batch   1818, Loss  0.867872, Average Loss  0.868458, Time  0.169889
2021-09-11 17:10:35.742766 : Epoch  6, Batch   1819, Loss  0.862900, Average Loss  0.868425, Time  0.169952
2021-09-11 17:10:37.355902 : Epoch  6, Batch   1820, Loss  0.867634, Average Loss  0.868355, Time  0.169401
2021-09-11 17:10:38.089931 : Epoch  6, Batch    882, Loss  0.849614, Average Loss  0.868650, Time  0.371740
2021-09-11 17:10:38.980267 : Epoch  6, Batch   1821, Loss  0.890300, Average Loss  0.868438, Time  0.169838
2021-09-11 17:10:40.592863 : Epoch  6, Batch   1822, Loss  0.851582, Average Loss  0.868435, Time  0.169808
2021-09-11 17:10:41.146165 : Epoch  6, Batch    883, Loss  0.864702, Average Loss  0.868578, Time  0.312061
2021-09-11 17:10:42.199806 : Epoch  6, Batch   1823, Loss  0.853320, Average Loss  0.868427, Time  0.170864
2021-09-11 17:10:43.811845 : Epoch  6, Batch   1824, Loss  0.832508, Average Loss  0.868154, Time  0.171607
2021-09-11 17:10:45.425739 : Epoch  6, Batch   1825, Loss  0.874705, Average Loss  0.868323, Time  0.169530
2021-09-11 17:10:45.888477 : Epoch  6, Batch    884, Loss  0.878697, Average Loss  0.868671, Time  0.278527
2021-09-11 17:10:47.030857 : Epoch  6, Batch   1826, Loss  0.829273, Average Loss  0.868145, Time  0.171899
2021-09-11 17:10:48.645997 : Epoch  6, Batch   1827, Loss  0.879971, Average Loss  0.868292, Time  0.169579
2021-09-11 17:10:50.250761 : Epoch  6, Batch   1828, Loss  0.870869, Average Loss  0.868307, Time  0.169580
2021-09-11 17:10:51.316329 : Epoch  6, Batch    885, Loss  0.869888, Average Loss  0.868626, Time  0.553781
2021-09-11 17:10:51.855997 : Epoch  6, Batch   1829, Loss  0.863265, Average Loss  0.868196, Time  0.169901
2021-09-11 17:10:53.469983 : Epoch  6, Batch   1830, Loss  0.875417, Average Loss  0.868134, Time  0.169656
2021-09-11 17:10:55.057771 : Epoch  6, Batch   1831, Loss  0.861722, Average Loss  0.868186, Time  0.169485
2021-09-11 17:10:56.377104 : Epoch  6, Batch    886, Loss  0.869120, Average Loss  0.868617, Time  0.269872
2021-09-11 17:10:56.646013 : Epoch  6, Batch   1832, Loss  0.878086, Average Loss  0.868374, Time  0.169713
2021-09-11 17:10:58.260804 : Epoch  6, Batch   1833, Loss  0.846484, Average Loss  0.868196, Time  0.169679
2021-09-11 17:10:59.873854 : Epoch  6, Batch   1834, Loss  0.846321, Average Loss  0.868152, Time  0.169776
2021-09-11 17:11:01.494918 : Epoch  6, Batch   1835, Loss  0.859694, Average Loss  0.868051, Time  0.172029
2021-09-11 17:11:03.101980 : Epoch  6, Batch   1836, Loss  0.873767, Average Loss  0.868247, Time  0.170168
2021-09-11 17:11:04.712740 : Epoch  6, Batch   1837, Loss  0.877474, Average Loss  0.868255, Time  0.171997
2021-09-11 17:11:05.572128 : Epoch  6, Batch    887, Loss  0.879731, Average Loss  0.868703, Time  0.359323
2021-09-11 17:11:06.316995 : Epoch  6, Batch   1838, Loss  0.898450, Average Loss  0.868303, Time  0.169712
2021-09-11 17:11:07.958036 : Epoch  6, Batch   1839, Loss  0.879891, Average Loss  0.868231, Time  0.170675
2021-09-11 17:11:09.566760 : Epoch  6, Batch   1840, Loss  0.896246, Average Loss  0.868402, Time  0.169516
2021-09-11 17:11:11.174788 : Epoch  6, Batch   1841, Loss  0.868172, Average Loss  0.868477, Time  0.170078
2021-09-11 17:11:12.228085 : Epoch  6, Batch    888, Loss  0.881284, Average Loss  0.868747, Time  0.398643
2021-09-11 17:11:12.791791 : Epoch  6, Batch   1842, Loss  0.856197, Average Loss  0.868392, Time  0.169660
2021-09-11 17:11:14.406866 : Epoch  6, Batch   1843, Loss  0.846486, Average Loss  0.868140, Time  0.169759
2021-09-11 17:11:16.012889 : Epoch  6, Batch   1844, Loss  0.866561, Average Loss  0.868286, Time  0.169894
2021-09-11 17:11:16.741427 : Epoch  6, Batch    889, Loss  0.862810, Average Loss  0.868840, Time  0.245619
2021-09-11 17:11:17.606997 : Epoch  6, Batch   1845, Loss  0.858249, Average Loss  0.868262, Time  0.169895
2021-09-11 17:11:21.794423 : Epoch  6, Batch    890, Loss  0.886218, Average Loss  0.868912, Time  0.271676
2021-09-11 17:11:27.030180 : Epoch  6, Batch    891, Loss  0.861115, Average Loss  0.868934, Time  0.309761
2021-09-11 17:11:34.068891 : Epoch  6, Batch    892, Loss  0.870281, Average Loss  0.868872, Time  0.548266
2021-09-11 17:11:41.128820 : Epoch  6, Batch    893, Loss  0.872002, Average Loss  0.868859, Time  0.282193
2021-09-11 17:11:44.956423 : Epoch  6, Batch    894, Loss  0.858172, Average Loss  0.868807, Time  0.273669
2021-09-11 17:11:47.797044 : Epoch  6, Batch    895, Loss  0.877573, Average Loss  0.868836, Time  0.252964
2021-09-11 17:11:56.237429 : Epoch  6, Batch    896, Loss  0.861398, Average Loss  0.868770, Time  0.270837
2021-09-11 17:11:59.170406 : Epoch  6, Batch    897, Loss  0.858822, Average Loss  0.868642, Time  0.244084
2021-09-11 17:12:04.318033 : Epoch  6, Batch    898, Loss  0.852124, Average Loss  0.868594, Time  0.237487
2021-09-11 17:12:10.489846 : Epoch  6, Batch    899, Loss  0.870627, Average Loss  0.868666, Time  0.261022
2021-09-11 17:12:16.138923 : Epoch  6, Batch    900, Loss  0.864653, Average Loss  0.868640, Time  0.306881
2021-09-11 17:12:24.058243 : Epoch  6, Batch    901, Loss  0.868484, Average Loss  0.868613, Time  0.238391
2021-09-11 17:12:29.123014 : Epoch  6, Batch    902, Loss  0.901111, Average Loss  0.868705, Time  0.358784
2021-09-11 17:12:34.981098 : Epoch  6, Batch    903, Loss  0.878618, Average Loss  0.868784, Time  0.238045
2021-09-11 17:12:44.512799 : Epoch  6, Batch    904, Loss  0.874783, Average Loss  0.868857, Time  0.368292
2021-09-11 17:12:48.662187 : Epoch  6, Batch    905, Loss  0.860833, Average Loss  0.868769, Time  0.263646
2021-09-11 17:12:54.742939 : Epoch  6, Batch    906, Loss  0.881016, Average Loss  0.868797, Time  0.397035
2021-09-11 17:12:59.622632 : Epoch  6, Batch    907, Loss  0.882721, Average Loss  0.868900, Time  0.520990
2021-09-11 17:13:04.399982 : Epoch  6, Batch    908, Loss  0.867999, Average Loss  0.868856, Time  0.322247
2021-09-11 17:13:11.002443 : Epoch  6, Batch    909, Loss  0.865623, Average Loss  0.868861, Time  0.456529
2021-09-11 17:13:15.005486 : Epoch  6, Batch    910, Loss  0.859816, Average Loss  0.868809, Time  0.426681
2021-09-11 17:13:19.703063 : Epoch  6, Batch    911, Loss  0.880211, Average Loss  0.868860, Time  0.271369
2021-09-11 17:13:24.728989 : Epoch  6, Batch    912, Loss  0.898084, Average Loss  0.869082, Time  0.268467
2021-09-11 17:13:28.245938 : Epoch  6, Batch    913, Loss  0.872715, Average Loss  0.869146, Time  0.316851
2021-09-11 17:13:32.660939 : Epoch  6, Batch    914, Loss  0.884671, Average Loss  0.869159, Time  0.310762
2021-09-11 17:13:35.934429 : Epoch  6, Batch    915, Loss  0.871231, Average Loss  0.869091, Time  0.380637
2021-09-11 17:13:41.922569 : Epoch  6, Batch    916, Loss  0.860785, Average Loss  0.869069, Time  0.237276
2021-09-11 17:13:47.429860 : Epoch  6, Batch    917, Loss  0.872172, Average Loss  0.869073, Time  0.274329
2021-09-11 17:13:51.845111 : Epoch  6, Batch    918, Loss  0.874265, Average Loss  0.869211, Time  0.399798
2021-09-11 17:13:57.843318 : Epoch  6, Batch    919, Loss  0.864017, Average Loss  0.869161, Time  0.237327
2021-09-11 17:14:02.886648 : Epoch  6, Batch    920, Loss  0.871023, Average Loss  0.869083, Time  0.351491
2021-09-11 17:15:59.224714 : CheckPoint: Validation Loss  0.00060328, Best Loss  0.00057296
2021-09-11 17:16:00.817257 : Epoch  6, Batch   1846, Loss  0.842417, Average Loss  0.868236, Time  0.182374
2021-09-11 17:16:02.411723 : Epoch  6, Batch   1847, Loss  0.905975, Average Loss  0.868408, Time  0.172300
2021-09-11 17:16:04.000011 : Epoch  6, Batch   1848, Loss  0.867325, Average Loss  0.868300, Time  0.169971
2021-09-11 17:16:05.610749 : Epoch  6, Batch   1849, Loss  0.865369, Average Loss  0.868308, Time  0.170204
2021-09-11 17:16:07.221772 : Epoch  6, Batch   1850, Loss  0.865287, Average Loss  0.868357, Time  0.174119
2021-09-11 17:16:08.833199 : Epoch  6, Batch   1851, Loss  0.849365, Average Loss  0.868328, Time  0.169988
2021-09-11 17:16:10.432759 : Epoch  6, Batch   1852, Loss  0.856327, Average Loss  0.868279, Time  0.169506
2021-09-11 17:16:12.035980 : Epoch  6, Batch   1853, Loss  0.859613, Average Loss  0.868151, Time  0.170003
2021-09-11 17:16:13.646842 : Epoch  6, Batch   1854, Loss  0.849605, Average Loss  0.868184, Time  0.169907
2021-09-11 17:16:15.257001 : Epoch  6, Batch   1855, Loss  0.858974, Average Loss  0.868118, Time  0.169651
2021-09-11 17:16:16.854782 : Epoch  6, Batch   1856, Loss  0.846541, Average Loss  0.868138, Time  0.171051
2021-09-11 17:16:18.456756 : Epoch  6, Batch   1857, Loss  0.901646, Average Loss  0.868294, Time  0.169845
2021-09-11 17:16:20.058768 : Epoch  6, Batch   1858, Loss  0.895745, Average Loss  0.868405, Time  0.169874
2021-09-11 17:16:21.677002 : Epoch  6, Batch   1859, Loss  0.852581, Average Loss  0.868446, Time  0.169715
2021-09-11 17:16:23.289860 : Epoch  6, Batch   1860, Loss  0.883757, Average Loss  0.868573, Time  0.169492
2021-09-11 17:16:24.892795 : Epoch  6, Batch   1861, Loss  0.895888, Average Loss  0.868580, Time  0.170233
2021-09-11 17:16:26.517764 : Epoch  6, Batch   1862, Loss  0.871891, Average Loss  0.868594, Time  0.169795
2021-09-11 17:16:28.138786 : Epoch  6, Batch   1863, Loss  0.863497, Average Loss  0.868543, Time  0.169679
2021-09-11 17:16:29.755995 : Epoch  6, Batch   1864, Loss  0.883759, Average Loss  0.868676, Time  0.169651
2021-09-11 17:16:31.371796 : Epoch  6, Batch   1865, Loss  0.889798, Average Loss  0.868882, Time  0.169791
2021-09-11 17:16:32.977777 : Epoch  6, Batch   1866, Loss  0.851561, Average Loss  0.868716, Time  0.172201
2021-09-11 17:16:34.580991 : Epoch  6, Batch   1867, Loss  0.888215, Average Loss  0.868944, Time  0.169602
2021-09-11 17:16:36.192990 : Epoch  6, Batch   1868, Loss  0.858791, Average Loss  0.868922, Time  0.171978
2021-09-11 17:16:37.798995 : Epoch  6, Batch   1869, Loss  0.881174, Average Loss  0.869022, Time  0.169763
2021-09-11 17:16:39.416996 : Epoch  6, Batch   1870, Loss  0.886772, Average Loss  0.869173, Time  0.169744
2021-09-11 17:16:41.020991 : Epoch  6, Batch   1871, Loss  0.875017, Average Loss  0.869172, Time  0.169786
2021-09-11 17:16:42.632931 : Epoch  6, Batch   1872, Loss  0.856000, Average Loss  0.869044, Time  0.170195
2021-09-11 17:16:44.259999 : Epoch  6, Batch   1873, Loss  0.903807, Average Loss  0.869226, Time  0.169954
2021-09-11 17:16:45.876982 : Epoch  6, Batch   1874, Loss  0.914600, Average Loss  0.869394, Time  0.170062
2021-09-11 17:16:47.491786 : Epoch  6, Batch   1875, Loss  0.827239, Average Loss  0.869009, Time  0.169880
2021-09-11 17:16:49.105980 : Epoch  6, Batch   1876, Loss  0.889287, Average Loss  0.868989, Time  0.169947
2021-09-11 17:16:50.712783 : Epoch  6, Batch   1877, Loss  0.880928, Average Loss  0.868957, Time  0.169756
2021-09-11 17:16:52.325990 : Epoch  6, Batch   1878, Loss  0.884452, Average Loss  0.868936, Time  0.170055
2021-09-11 17:16:53.944799 : Epoch  6, Batch   1879, Loss  0.879017, Average Loss  0.869101, Time  0.169738
2021-09-11 17:16:55.554000 : Epoch  6, Batch   1880, Loss  0.871068, Average Loss  0.869007, Time  0.169620
2021-09-11 17:16:57.138565 : Epoch  6, Batch   1881, Loss  0.868513, Average Loss  0.868939, Time  0.169861
2021-09-11 17:16:58.789887 : Epoch  6, Batch   1882, Loss  0.886026, Average Loss  0.869047, Time  0.194200
2021-09-11 17:17:00.432790 : Epoch  6, Batch   1883, Loss  0.838751, Average Loss  0.868892, Time  0.172396
2021-09-11 17:17:02.046004 : Epoch  6, Batch   1884, Loss  0.857801, Average Loss  0.868695, Time  0.169585
2021-09-11 17:17:03.668781 : Epoch  6, Batch   1885, Loss  0.836689, Average Loss  0.868574, Time  0.169590
2021-09-11 17:17:05.276995 : Epoch  6, Batch   1886, Loss  0.871340, Average Loss  0.868515, Time  0.169579
2021-09-11 17:17:06.928755 : Epoch  6, Batch   1887, Loss  0.866859, Average Loss  0.868546, Time  0.169691
2021-09-11 17:17:08.569791 : Epoch  6, Batch   1888, Loss  0.862899, Average Loss  0.868342, Time  0.169726
2021-09-11 17:17:10.192980 : Epoch  6, Batch   1889, Loss  0.888209, Average Loss  0.868394, Time  0.169761
2021-09-11 17:17:11.823983 : Epoch  6, Batch   1890, Loss  0.849943, Average Loss  0.868378, Time  0.169738
2021-09-11 17:17:13.451785 : Epoch  6, Batch   1891, Loss  0.858752, Average Loss  0.868449, Time  0.169865
2021-09-11 17:17:15.068747 : Epoch  6, Batch   1892, Loss  0.901813, Average Loss  0.868639, Time  0.169855
2021-09-11 17:17:16.687982 : Epoch  6, Batch   1893, Loss  0.870669, Average Loss  0.868695, Time  0.169840
2021-09-11 17:17:18.311825 : Epoch  6, Batch   1894, Loss  0.879723, Average Loss  0.868925, Time  0.169886
2021-09-11 17:17:19.949778 : Epoch  6, Batch   1895, Loss  0.895235, Average Loss  0.868897, Time  0.169950
2021-09-11 17:17:21.552798 : Epoch  6, Batch   1896, Loss  0.857407, Average Loss  0.868848, Time  0.169610
2021-09-11 17:17:23.204732 : Epoch  6, Batch   1897, Loss  0.904719, Average Loss  0.868992, Time  0.172024
2021-09-11 17:17:24.807741 : Epoch  6, Batch   1898, Loss  0.891585, Average Loss  0.869078, Time  0.169719
2021-09-11 17:17:26.410983 : Epoch  6, Batch   1899, Loss  0.890894, Average Loss  0.869145, Time  0.169787
2021-09-11 17:17:28.035804 : Epoch  6, Batch   1900, Loss  0.830228, Average Loss  0.868975, Time  0.169639
2021-09-11 17:17:29.650997 : Epoch  6, Batch   1901, Loss  0.887512, Average Loss  0.869068, Time  0.172182
2021-09-11 17:17:31.269767 : Epoch  6, Batch   1902, Loss  0.884642, Average Loss  0.869153, Time  0.169980
2021-09-11 17:17:32.880794 : Epoch  6, Batch   1903, Loss  0.880670, Average Loss  0.869216, Time  0.170343
2021-09-11 17:17:34.495766 : Epoch  6, Batch   1904, Loss  0.850214, Average Loss  0.869225, Time  0.169369
2021-09-11 17:17:36.116994 : Epoch  6, Batch   1905, Loss  0.867811, Average Loss  0.869045, Time  0.169696
2021-09-11 17:17:37.729997 : Epoch  6, Batch   1906, Loss  0.889301, Average Loss  0.869219, Time  0.169769
2021-09-11 17:17:39.340995 : Epoch  6, Batch   1907, Loss  0.849031, Average Loss  0.869074, Time  0.169426
2021-09-11 17:17:40.940994 : Epoch  6, Batch   1908, Loss  0.857089, Average Loss  0.869135, Time  0.169692
2021-09-11 17:17:42.545851 : Epoch  6, Batch   1909, Loss  0.860965, Average Loss  0.868982, Time  0.169637
2021-09-11 17:17:44.152797 : Epoch  6, Batch   1910, Loss  0.870371, Average Loss  0.868992, Time  0.169716
2021-09-11 17:17:45.787798 : Epoch  6, Batch   1911, Loss  0.862422, Average Loss  0.868924, Time  0.170619
2021-09-11 17:17:47.383995 : Epoch  6, Batch   1912, Loss  0.859330, Average Loss  0.868831, Time  0.169950
2021-09-11 17:17:48.993993 : Epoch  6, Batch   1913, Loss  0.869417, Average Loss  0.868955, Time  0.169522
2021-09-11 17:17:50.600777 : Epoch  6, Batch   1914, Loss  0.882670, Average Loss  0.869083, Time  0.169600
2021-09-11 17:17:52.206999 : Epoch  6, Batch   1915, Loss  0.881085, Average Loss  0.869165, Time  0.169768
2021-09-11 17:17:53.829807 : Epoch  6, Batch   1916, Loss  0.873465, Average Loss  0.869085, Time  0.170088
2021-09-11 17:17:55.435804 : Epoch  6, Batch   1917, Loss  0.883358, Average Loss  0.869132, Time  0.169775
2021-09-11 17:17:57.054859 : Epoch  6, Batch   1918, Loss  0.871102, Average Loss  0.869277, Time  0.169903
2021-09-11 17:17:58.657929 : Epoch  6, Batch   1919, Loss  0.860727, Average Loss  0.869139, Time  0.169876
2021-09-11 17:18:00.269996 : Epoch  6, Batch   1920, Loss  0.888156, Average Loss  0.869171, Time  0.169996
2021-09-11 17:18:01.903731 : Epoch  6, Batch   1921, Loss  0.889666, Average Loss  0.869276, Time  0.169544
2021-09-11 17:18:03.509815 : Epoch  6, Batch   1922, Loss  0.850309, Average Loss  0.869071, Time  0.169918
2021-09-11 17:18:05.138835 : Epoch  6, Batch   1923, Loss  0.855460, Average Loss  0.869121, Time  0.169726
2021-09-11 17:18:06.751978 : Epoch  6, Batch   1924, Loss  0.852306, Average Loss  0.869085, Time  0.169251
2021-09-11 17:18:08.359749 : Epoch  6, Batch   1925, Loss  0.857329, Average Loss  0.868977, Time  0.170218
2021-09-11 17:18:09.971984 : Epoch  6, Batch   1926, Loss  0.848135, Average Loss  0.868799, Time  0.171753
2021-09-11 17:18:11.579866 : Epoch  6, Batch   1927, Loss  0.881131, Average Loss  0.868883, Time  0.170622
2021-09-11 17:18:13.181979 : Epoch  6, Batch   1928, Loss  0.865365, Average Loss  0.868814, Time  0.169726
2021-09-11 17:18:14.797000 : Epoch  6, Batch   1929, Loss  0.916225, Average Loss  0.869060, Time  0.169472
2021-09-11 17:18:16.412766 : Epoch  6, Batch   1930, Loss  0.867780, Average Loss  0.869201, Time  0.169339
2021-09-11 17:18:18.014806 : Epoch  6, Batch   1931, Loss  0.865024, Average Loss  0.869133, Time  0.169657
2021-09-11 17:18:19.624991 : Epoch  6, Batch   1932, Loss  0.885108, Average Loss  0.869142, Time  0.169537
2021-09-11 17:18:21.233836 : Epoch  6, Batch   1933, Loss  0.869851, Average Loss  0.869166, Time  0.171543
2021-09-11 17:18:22.836761 : Epoch  6, Batch   1934, Loss  0.861911, Average Loss  0.869059, Time  0.169545
2021-09-11 17:18:24.449900 : Epoch  6, Batch   1935, Loss  0.890491, Average Loss  0.869150, Time  0.169594
2021-09-11 17:18:26.086758 : Epoch  6, Batch   1936, Loss  0.857571, Average Loss  0.869166, Time  0.169934
2021-09-11 17:18:27.693997 : Epoch  6, Batch   1937, Loss  0.834607, Average Loss  0.868965, Time  0.169591
2021-09-11 17:18:29.305732 : Epoch  6, Batch   1938, Loss  0.880706, Average Loss  0.868952, Time  0.171801
2021-09-11 17:18:30.936755 : Epoch  6, Batch   1939, Loss  0.843465, Average Loss  0.868785, Time  0.171771
2021-09-11 17:18:32.548746 : Epoch  6, Batch   1940, Loss  0.827785, Average Loss  0.868505, Time  0.169928
2021-09-11 17:18:34.166997 : Epoch  6, Batch   1941, Loss  0.871270, Average Loss  0.868475, Time  0.169510
2021-09-11 17:18:35.789767 : Epoch  6, Batch   1942, Loss  0.859308, Average Loss  0.868468, Time  0.171872
2021-09-11 17:18:37.393996 : Epoch  6, Batch   1943, Loss  0.907793, Average Loss  0.868549, Time  0.169449
2021-09-11 17:18:39.002033 : Epoch  6, Batch   1944, Loss  0.859224, Average Loss  0.868331, Time  0.170099
2021-09-11 17:18:40.598838 : Epoch  6, Batch   1945, Loss  0.907743, Average Loss  0.868611, Time  0.171020
2021-09-11 17:23:21.544051 : CheckPoint: Validation Loss  0.00060043, Best Loss  0.00057296
2021-09-11 17:23:23.168924 : Epoch  6, Batch   1946, Loss  0.890383, Average Loss  0.868719, Time  0.175829
2021-09-11 17:23:24.780743 : Epoch  6, Batch   1947, Loss  0.842115, Average Loss  0.868461, Time  0.169981
2021-09-11 17:23:26.398979 : Epoch  6, Batch   1948, Loss  0.902110, Average Loss  0.868827, Time  0.169793
2021-09-11 17:23:28.015989 : Epoch  6, Batch   1949, Loss  0.865598, Average Loss  0.868789, Time  0.169731
2021-09-11 17:23:29.638996 : Epoch  6, Batch   1950, Loss  0.862580, Average Loss  0.868709, Time  0.170086
2021-09-11 17:23:31.257999 : Epoch  6, Batch   1951, Loss  0.874978, Average Loss  0.868710, Time  0.169609
2021-09-11 17:23:32.882993 : Epoch  6, Batch   1952, Loss  0.859543, Average Loss  0.868598, Time  0.169677
2021-09-11 17:23:34.497881 : Epoch  6, Batch   1953, Loss  0.881638, Average Loss  0.868759, Time  0.172150
2021-09-11 17:23:36.107779 : Epoch  6, Batch   1954, Loss  0.886815, Average Loss  0.868887, Time  0.170039
2021-09-11 17:23:37.755819 : Epoch  6, Batch   1955, Loss  0.889723, Average Loss  0.869094, Time  0.169921
2021-09-11 17:23:39.375000 : Epoch  6, Batch   1956, Loss  0.879477, Average Loss  0.869149, Time  0.169579
2021-09-11 17:23:40.988002 : Epoch  6, Batch   1957, Loss  0.856218, Average Loss  0.868919, Time  0.169837
2021-09-11 17:23:42.596856 : Epoch  6, Batch   1958, Loss  0.851210, Average Loss  0.868965, Time  0.169566
2021-09-11 17:23:44.218741 : Epoch  6, Batch   1959, Loss  0.885014, Average Loss  0.869290, Time  0.169692
2021-09-11 17:23:45.832989 : Epoch  6, Batch   1960, Loss  0.863363, Average Loss  0.869234, Time  0.169856
2021-09-11 17:23:47.450985 : Epoch  6, Batch   1961, Loss  0.879999, Average Loss  0.869336, Time  0.173792
2021-09-11 17:23:49.075802 : Epoch  6, Batch   1962, Loss  0.838261, Average Loss  0.869261, Time  0.169640
2021-09-11 17:23:50.694798 : Epoch  6, Batch   1963, Loss  0.867605, Average Loss  0.869236, Time  0.169868
2021-09-11 17:23:52.308793 : Epoch  6, Batch   1964, Loss  0.896296, Average Loss  0.869391, Time  0.169503
2021-09-11 17:23:53.905990 : Epoch  6, Batch   1965, Loss  0.877204, Average Loss  0.869310, Time  0.169508
2021-09-11 17:23:55.517729 : Epoch  6, Batch   1966, Loss  0.874990, Average Loss  0.869309, Time  0.169758
2021-09-11 17:23:57.130907 : Epoch  6, Batch   1967, Loss  0.879923, Average Loss  0.869448, Time  0.169497
2021-09-11 17:23:58.750994 : Epoch  6, Batch   1968, Loss  0.858396, Average Loss  0.869422, Time  0.169678
2021-09-11 17:24:00.360998 : Epoch  6, Batch   1969, Loss  0.862869, Average Loss  0.869395, Time  0.169649
2021-09-11 17:24:01.989827 : Epoch  6, Batch   1970, Loss  0.899709, Average Loss  0.869462, Time  0.169688
2021-09-11 17:24:03.606991 : Epoch  6, Batch   1971, Loss  0.865947, Average Loss  0.869421, Time  0.169662
2021-09-11 17:24:05.216002 : Epoch  6, Batch   1972, Loss  0.843817, Average Loss  0.869307, Time  0.169780
2021-09-11 17:24:06.829980 : Epoch  6, Batch   1973, Loss  0.880144, Average Loss  0.869363, Time  0.172005
2021-09-11 17:24:08.441767 : Epoch  6, Batch   1974, Loss  0.864522, Average Loss  0.869292, Time  0.169492
2021-09-11 17:24:08.999772 : CheckPoint: Validation Loss  0.00031623, Best Loss  0.00029019
2021-09-11 17:24:10.043750 : Epoch  6, Batch   1975, Loss  0.872091, Average Loss  0.869241, Time  0.169503
2021-09-11 17:24:11.665005 : Epoch  6, Batch   1976, Loss  0.875934, Average Loss  0.869309, Time  0.169528
2021-09-11 17:24:13.288001 : Epoch  6, Batch   1977, Loss  0.878408, Average Loss  0.869470, Time  0.169739
2021-09-11 17:24:14.372262 : Epoch  6, Batch    921, Loss  0.884901, Average Loss  0.869014, Time  0.272909
2021-09-11 17:24:14.914919 : Epoch  6, Batch   1978, Loss  0.870610, Average Loss  0.869609, Time  0.169352
2021-09-11 17:24:16.524790 : Epoch  6, Batch   1979, Loss  0.877969, Average Loss  0.869668, Time  0.169698
2021-09-11 17:24:17.057449 : Epoch  6, Batch    922, Loss  0.853291, Average Loss  0.868762, Time  0.275963
2021-09-11 17:24:18.146852 : Epoch  6, Batch   1980, Loss  0.843101, Average Loss  0.869549, Time  0.169589
2021-09-11 17:24:19.770777 : Epoch  6, Batch   1981, Loss  0.873475, Average Loss  0.869515, Time  0.169697
2021-09-11 17:24:21.392788 : Epoch  6, Batch   1982, Loss  0.862110, Average Loss  0.869582, Time  0.169960
2021-09-11 17:24:21.498348 : Epoch  6, Batch    923, Loss  0.870328, Average Loss  0.868775, Time  0.467267
2021-09-11 17:24:23.041062 : Epoch  6, Batch   1983, Loss  0.879484, Average Loss  0.869695, Time  0.169435
2021-09-11 17:24:24.652002 : Epoch  6, Batch   1984, Loss  0.842668, Average Loss  0.869756, Time  0.169742
2021-09-11 17:24:26.106817 : Epoch  6, Batch    924, Loss  0.867027, Average Loss  0.868705, Time  0.388509
2021-09-11 17:24:26.260879 : Epoch  6, Batch   1985, Loss  0.852100, Average Loss  0.869856, Time  0.169888
2021-09-11 17:24:27.877917 : Epoch  6, Batch   1986, Loss  0.869197, Average Loss  0.869968, Time  0.169620
2021-09-11 17:24:29.487806 : Epoch  6, Batch   1987, Loss  0.873935, Average Loss  0.869963, Time  0.172205
2021-09-11 17:24:31.095859 : Epoch  6, Batch   1988, Loss  0.855061, Average Loss  0.869880, Time  0.169840
2021-09-11 17:24:32.708996 : Epoch  6, Batch   1989, Loss  0.854010, Average Loss  0.869746, Time  0.169513
2021-09-11 17:24:33.120805 : Epoch  6, Batch    925, Loss  0.857661, Average Loss  0.868774, Time  0.249461
2021-09-11 17:24:34.312802 : Epoch  6, Batch   1990, Loss  0.863124, Average Loss  0.869884, Time  0.173539
2021-09-11 17:24:35.931825 : Epoch  6, Batch   1991, Loss  0.876264, Average Loss  0.869806, Time  0.169776
2021-09-11 17:24:37.555797 : Epoch  6, Batch   1992, Loss  0.902348, Average Loss  0.870138, Time  0.178041
2021-09-11 17:24:39.180067 : Epoch  6, Batch   1993, Loss  0.854533, Average Loss  0.870091, Time  0.171714
2021-09-11 17:24:40.298945 : Epoch  6, Batch    926, Loss  0.871262, Average Loss  0.868792, Time  0.392991
2021-09-11 17:24:40.806038 : Epoch  6, Batch   1994, Loss  0.877665, Average Loss  0.870113, Time  0.172035
2021-09-11 17:24:42.421016 : Epoch  6, Batch   1995, Loss  0.888619, Average Loss  0.870167, Time  0.172683
2021-09-11 17:24:44.068756 : Epoch  6, Batch   1996, Loss  0.856235, Average Loss  0.870134, Time  0.178137
2021-09-11 17:24:44.895227 : Epoch  6, Batch    927, Loss  0.887931, Average Loss  0.868953, Time  0.350846
2021-09-11 17:24:45.684867 : Epoch  6, Batch   1997, Loss  0.877650, Average Loss  0.870115, Time  0.169842
2021-09-11 17:24:47.298820 : Epoch  6, Batch   1998, Loss  0.880012, Average Loss  0.870083, Time  0.174372
2021-09-11 17:24:47.744419 : Epoch  6, Batch    928, Loss  0.855813, Average Loss  0.868848, Time  0.238079
2021-09-11 17:24:48.902763 : Epoch  6, Batch   1999, Loss  0.834255, Average Loss  0.869874, Time  0.174440
2021-09-11 17:24:50.508867 : Epoch  6, Batch   2000, Loss  0.876504, Average Loss  0.869839, Time  0.169847
2021-09-11 17:24:52.121758 : Epoch  6, Batch   2001, Loss  0.871127, Average Loss  0.869777, Time  0.169672
2021-09-11 17:24:53.747737 : Epoch  6, Batch   2002, Loss  0.885013, Average Loss  0.869736, Time  0.174794
2021-09-11 17:24:54.223202 : Epoch  6, Batch    929, Loss  0.843361, Average Loss  0.868768, Time  0.303438
2021-09-11 17:24:55.363799 : Epoch  6, Batch   2003, Loss  0.810536, Average Loss  0.869341, Time  0.170207
2021-09-11 17:24:56.995026 : Epoch  6, Batch   2004, Loss  0.875211, Average Loss  0.869392, Time  0.169534
2021-09-11 17:24:57.718535 : Epoch  6, Batch    930, Loss  0.861716, Average Loss  0.868672, Time  0.270164
2021-09-11 17:24:58.609841 : Epoch  6, Batch   2005, Loss  0.887230, Average Loss  0.869525, Time  0.172001
2021-09-11 17:25:00.224754 : Epoch  6, Batch   2006, Loss  0.897180, Average Loss  0.869633, Time  0.171207
2021-09-11 17:25:01.868029 : Epoch  6, Batch   2007, Loss  0.875641, Average Loss  0.869618, Time  0.169704
2021-09-11 17:25:03.485814 : Epoch  6, Batch   2008, Loss  0.889375, Average Loss  0.869710, Time  0.176566
2021-09-11 17:25:03.527881 : Epoch  6, Batch    931, Loss  0.894792, Average Loss  0.868715, Time  0.311490
2021-09-11 17:25:05.130020 : Epoch  6, Batch   2009, Loss  0.893572, Average Loss  0.869950, Time  0.169812
2021-09-11 17:25:06.754816 : Epoch  6, Batch   2010, Loss  0.865125, Average Loss  0.869858, Time  0.169682
2021-09-11 17:25:08.367770 : Epoch  6, Batch   2011, Loss  0.865072, Average Loss  0.869825, Time  0.172178
2021-09-11 17:25:09.966786 : Epoch  6, Batch   2012, Loss  0.878196, Average Loss  0.870049, Time  0.170257
2021-09-11 17:25:11.578930 : Epoch  6, Batch   2013, Loss  0.849392, Average Loss  0.869947, Time  0.173537
2021-09-11 17:25:13.192757 : Epoch  6, Batch   2014, Loss  0.885793, Average Loss  0.870024, Time  0.170373
2021-09-11 17:25:14.639462 : Epoch  6, Batch    932, Loss  0.857490, Average Loss  0.868594, Time  0.470144
2021-09-11 17:25:14.814750 : Epoch  6, Batch   2015, Loss  0.879300, Average Loss  0.870066, Time  0.176481
2021-09-11 17:25:16.419746 : Epoch  6, Batch   2016, Loss  0.851192, Average Loss  0.870014, Time  0.171699
2021-09-11 17:25:18.034745 : Epoch  6, Batch   2017, Loss  0.888510, Average Loss  0.870125, Time  0.172302
2021-09-11 17:25:19.646802 : Epoch  6, Batch   2018, Loss  0.831787, Average Loss  0.869944, Time  0.169533
2021-09-11 17:25:20.158342 : Epoch  6, Batch    933, Loss  0.879348, Average Loss  0.868706, Time  0.346640
2021-09-11 17:25:21.274730 : Epoch  6, Batch   2019, Loss  0.850177, Average Loss  0.869881, Time  0.169965
2021-09-11 17:25:22.888793 : Epoch  6, Batch   2020, Loss  0.847268, Average Loss  0.869779, Time  0.169630
2021-09-11 17:25:24.527205 : Epoch  6, Batch   2021, Loss  0.872451, Average Loss  0.869690, Time  0.169692
2021-09-11 17:25:26.141789 : Epoch  6, Batch   2022, Loss  0.848562, Average Loss  0.869674, Time  0.169767
2021-09-11 17:25:27.743991 : Epoch  6, Batch   2023, Loss  0.851622, Average Loss  0.869666, Time  0.169700
2021-09-11 17:25:27.980458 : Epoch  6, Batch    934, Loss  0.876170, Average Loss  0.868727, Time  0.245258
2021-09-11 17:25:29.351760 : Epoch  6, Batch   2024, Loss  0.835315, Average Loss  0.869680, Time  0.169625
2021-09-11 17:25:30.959800 : Epoch  6, Batch   2025, Loss  0.888189, Average Loss  0.869747, Time  0.169583
2021-09-11 17:25:32.171404 : Epoch  6, Batch    935, Loss  0.865418, Average Loss  0.868817, Time  0.280325
2021-09-11 17:25:32.582852 : Epoch  6, Batch   2026, Loss  0.888444, Average Loss  0.870043, Time  0.169657
2021-09-11 17:25:34.197911 : Epoch  6, Batch   2027, Loss  0.860002, Average Loss  0.869943, Time  0.169824
2021-09-11 17:25:35.803799 : Epoch  6, Batch   2028, Loss  0.884189, Average Loss  0.870010, Time  0.169809
2021-09-11 17:25:37.420735 : Epoch  6, Batch   2029, Loss  0.864286, Average Loss  0.870015, Time  0.169770
2021-09-11 17:25:37.555740 : Epoch  6, Batch    936, Loss  0.866368, Average Loss  0.868845, Time  0.420116
2021-09-11 17:25:39.025766 : Epoch  6, Batch   2030, Loss  0.839419, Average Loss  0.869835, Time  0.169775
2021-09-11 17:25:40.669788 : Epoch  6, Batch   2031, Loss  0.872424, Average Loss  0.869889, Time  0.169786
2021-09-11 17:25:42.297908 : Epoch  6, Batch   2032, Loss  0.852903, Average Loss  0.869763, Time  0.169552
2021-09-11 17:25:43.914898 : Epoch  6, Batch   2033, Loss  0.867308, Average Loss  0.869867, Time  0.170642
2021-09-11 17:25:45.516849 : Epoch  6, Batch   2034, Loss  0.881967, Average Loss  0.870045, Time  0.169732
2021-09-11 17:25:46.606361 : Epoch  6, Batch    937, Loss  0.851438, Average Loss  0.868719, Time  0.372898
2021-09-11 17:25:47.113360 : Epoch  6, Batch   2035, Loss  0.842654, Average Loss  0.869960, Time  0.169909
2021-09-11 17:25:48.699785 : Epoch  6, Batch   2036, Loss  0.873001, Average Loss  0.869956, Time  0.169724
2021-09-11 17:25:50.291732 : Epoch  6, Batch   2037, Loss  0.879205, Average Loss  0.869965, Time  0.169873
2021-09-11 17:25:51.881013 : Epoch  6, Batch   2038, Loss  0.862577, Average Loss  0.869785, Time  0.169566
2021-09-11 17:25:53.477911 : Epoch  6, Batch   2039, Loss  0.916744, Average Loss  0.869970, Time  0.169686
2021-09-11 17:25:53.521045 : Epoch  6, Batch    938, Loss  0.849258, Average Loss  0.868605, Time  0.355815
2021-09-11 17:25:55.069836 : Epoch  6, Batch   2040, Loss  0.854140, Average Loss  0.869759, Time  0.169817
2021-09-11 17:25:56.676759 : Epoch  6, Batch   2041, Loss  0.846066, Average Loss  0.869649, Time  0.169786
2021-09-11 17:25:58.292871 : Epoch  6, Batch   2042, Loss  0.859152, Average Loss  0.869663, Time  0.169605
2021-09-11 17:25:59.337949 : Epoch  6, Batch    939, Loss  0.870791, Average Loss  0.868607, Time  0.562639
2021-09-11 17:25:59.880850 : Epoch  6, Batch   2043, Loss  0.826894, Average Loss  0.869565, Time  0.169542
2021-09-11 17:26:01.482868 : Epoch  6, Batch   2044, Loss  0.870961, Average Loss  0.869587, Time  0.169826
2021-09-11 17:26:02.916242 : Epoch  6, Batch    940, Loss  0.872082, Average Loss  0.868698, Time  0.251532
2021-09-11 17:26:03.078768 : Epoch  6, Batch   2045, Loss  0.861719, Average Loss  0.869605, Time  0.169980
2021-09-11 17:26:09.366455 : Epoch  6, Batch    941, Loss  0.874796, Average Loss  0.868749, Time  0.577631
2021-09-11 17:26:16.813929 : Epoch  6, Batch    942, Loss  0.862018, Average Loss  0.868683, Time  0.324911
2021-09-11 17:26:20.366921 : Epoch  6, Batch    943, Loss  0.880597, Average Loss  0.868766, Time  0.446042
2021-09-11 17:26:26.237422 : Epoch  6, Batch    944, Loss  0.872934, Average Loss  0.868854, Time  0.237449
2021-09-11 17:26:30.940846 : Epoch  6, Batch    945, Loss  0.866461, Average Loss  0.868795, Time  0.456573
2021-09-11 17:26:35.423585 : Epoch  6, Batch    946, Loss  0.868973, Average Loss  0.868819, Time  0.311785
2021-09-11 17:26:40.844858 : Epoch  6, Batch    947, Loss  0.876304, Average Loss  0.868832, Time  0.364515
2021-09-11 17:26:46.302734 : Epoch  6, Batch    948, Loss  0.858136, Average Loss  0.868792, Time  0.490647
2021-09-11 17:26:49.751429 : Epoch  6, Batch    949, Loss  0.893195, Average Loss  0.868946, Time  0.341515
2021-09-11 17:26:52.939437 : Epoch  6, Batch    950, Loss  0.880735, Average Loss  0.869064, Time  0.421366
2021-09-11 17:26:57.003412 : Epoch  6, Batch    951, Loss  0.887560, Average Loss  0.869130, Time  0.498055
2021-09-11 17:27:02.509440 : Epoch  6, Batch    952, Loss  0.861279, Average Loss  0.869117, Time  0.541499
2021-09-11 17:27:11.296169 : Epoch  6, Batch    953, Loss  0.862245, Average Loss  0.869029, Time  0.238925
2021-09-11 17:27:14.679428 : Epoch  6, Batch    954, Loss  0.858993, Average Loss  0.868981, Time  0.345253
2021-09-11 17:27:20.286121 : Epoch  6, Batch    955, Loss  0.865074, Average Loss  0.868885, Time  0.341074
2021-09-11 17:27:27.392087 : Epoch  6, Batch    956, Loss  0.864031, Average Loss  0.868889, Time  0.276060
2021-09-11 17:27:33.742963 : Epoch  6, Batch    957, Loss  0.884888, Average Loss  0.868971, Time  0.449437
2021-09-11 17:27:41.084433 : Epoch  6, Batch    958, Loss  0.855842, Average Loss  0.868886, Time  0.295937
2021-09-11 17:27:46.951936 : Epoch  6, Batch    959, Loss  0.872980, Average Loss  0.868857, Time  0.278590
2021-09-11 17:27:53.481037 : Epoch  6, Batch    960, Loss  0.869907, Average Loss  0.868986, Time  0.252623
2021-09-11 17:27:59.138619 : Epoch  6, Batch    961, Loss  0.881161, Average Loss  0.869061, Time  0.264046
2021-09-11 17:28:02.363179 : Epoch  6, Batch    962, Loss  0.881902, Average Loss  0.869195, Time  0.380676
2021-09-11 17:28:06.834851 : Epoch  6, Batch    963, Loss  0.863279, Average Loss  0.869181, Time  0.276163
2021-09-11 17:28:10.720450 : Epoch  6, Batch    964, Loss  0.879608, Average Loss  0.869194, Time  0.344982
2021-09-11 17:28:13.932872 : Epoch  6, Batch    965, Loss  0.857092, Average Loss  0.869048, Time  0.279899
2021-09-11 17:28:18.557433 : Epoch  6, Batch    966, Loss  0.877760, Average Loss  0.869144, Time  0.237815
2021-09-11 17:28:22.715264 : Epoch  6, Batch    967, Loss  0.858643, Average Loss  0.869122, Time  0.265586
2021-09-11 17:28:26.197950 : Epoch  6, Batch    968, Loss  0.861487, Average Loss  0.869135, Time  0.237627
2021-09-11 17:28:29.722426 : Epoch  6, Batch    969, Loss  0.865139, Average Loss  0.869064, Time  0.244995
2021-09-11 17:28:33.472868 : Epoch  6, Batch    970, Loss  0.872087, Average Loss  0.869048, Time  0.304884
2021-09-11 17:28:37.221432 : Epoch  6, Batch    971, Loss  0.871930, Average Loss  0.869067, Time  0.411406
2021-09-11 17:28:45.442927 : Epoch  6, Batch    972, Loss  0.870586, Average Loss  0.869094, Time  0.350409
2021-09-11 17:28:53.877858 : Epoch  6, Batch    973, Loss  0.851405, Average Loss  0.869040, Time  0.525544
2021-09-11 17:28:58.530131 : Epoch  6, Batch    974, Loss  0.886711, Average Loss  0.869151, Time  0.260937
2021-09-11 17:29:01.489484 : Epoch  6, Batch    975, Loss  0.894078, Average Loss  0.869247, Time  0.409600
2021-09-11 17:29:05.087890 : Epoch  6, Batch    976, Loss  0.884239, Average Loss  0.869313, Time  0.239859
2021-09-11 17:29:09.230445 : Epoch  6, Batch    977, Loss  0.871083, Average Loss  0.869360, Time  0.531888
2021-09-11 17:29:12.594940 : Epoch  6, Batch    978, Loss  0.893058, Average Loss  0.869454, Time  0.258385
2021-09-11 17:29:19.511988 : Epoch  6, Batch    979, Loss  0.883250, Average Loss  0.869475, Time  0.290881
2021-09-11 17:29:22.977913 : Epoch  6, Batch    980, Loss  0.860816, Average Loss  0.869424, Time  0.338293
2021-09-11 17:29:26.278307 : Epoch  6, Batch    981, Loss  0.876883, Average Loss  0.869534, Time  0.270609
2021-09-11 17:29:29.926050 : Epoch  6, Batch    982, Loss  0.867379, Average Loss  0.869637, Time  0.248858
2021-09-11 17:29:33.997122 : Epoch  6, Batch    983, Loss  0.872601, Average Loss  0.869711, Time  0.238695
2021-09-11 17:29:37.116043 : Epoch  6, Batch    984, Loss  0.870831, Average Loss  0.869708, Time  0.283581
2021-09-11 17:29:40.762384 : Epoch  6, Batch    985, Loss  0.861625, Average Loss  0.869709, Time  0.249540
2021-09-11 17:29:44.862311 : Epoch  6, Batch    986, Loss  0.854129, Average Loss  0.869779, Time  0.262784
2021-09-11 17:29:50.261097 : Epoch  6, Batch    987, Loss  0.862808, Average Loss  0.869675, Time  0.303404
2021-09-11 17:29:55.301032 : Epoch  6, Batch    988, Loss  0.864437, Average Loss  0.869813, Time  0.453378
2021-09-11 17:30:01.297979 : Epoch  6, Batch    989, Loss  0.887513, Average Loss  0.869922, Time  0.260375
2021-09-11 17:30:04.202901 : Epoch  6, Batch    990, Loss  0.886333, Average Loss  0.870003, Time  0.274676
2021-09-11 17:30:08.705073 : Epoch  6, Batch    991, Loss  0.860309, Average Loss  0.869918, Time  0.244850
2021-09-11 17:30:11.821993 : Epoch  6, Batch    992, Loss  0.848197, Average Loss  0.869862, Time  0.304691
2021-09-11 17:30:16.009998 : Epoch  6, Batch    993, Loss  0.879158, Average Loss  0.870076, Time  0.302032
2021-09-11 17:30:22.008027 : Epoch  6, Batch    994, Loss  0.874926, Average Loss  0.870160, Time  0.435655
2021-09-11 17:30:28.944859 : Epoch  6, Batch    995, Loss  0.880919, Average Loss  0.870319, Time  0.320624
2021-09-11 17:30:34.171934 : Epoch  6, Batch    996, Loss  0.873114, Average Loss  0.870286, Time  0.407120
2021-09-11 17:30:37.994249 : Epoch  6, Batch    997, Loss  0.862580, Average Loss  0.870147, Time  0.259494
2021-09-11 17:30:42.767356 : Epoch  6, Batch    998, Loss  0.863155, Average Loss  0.870128, Time  0.239458
2021-09-11 17:30:44.420065 : CheckPoint: Validation Loss  0.00061095, Best Loss  0.00057296
2021-09-11 17:30:46.044811 : Epoch  6, Batch   2046, Loss  0.847301, Average Loss  0.869629, Time  0.177466
2021-09-11 17:30:47.067736 : Epoch  6, Batch    999, Loss  0.874367, Average Loss  0.870160, Time  0.288978
2021-09-11 17:30:47.645748 : Epoch  6, Batch   2047, Loss  0.874662, Average Loss  0.869473, Time  0.170382
2021-09-11 17:30:49.253837 : Epoch  6, Batch   2048, Loss  0.873468, Average Loss  0.869503, Time  0.169786
2021-09-11 17:30:50.858820 : Epoch  6, Batch   2049, Loss  0.868833, Average Loss  0.869521, Time  0.169711
2021-09-11 17:30:52.205270 : Epoch  6, Batch   1000, Loss  0.852092, Average Loss  0.870050, Time  0.336810
2021-09-11 17:30:52.462988 : Epoch  6, Batch   2050, Loss  0.864953, Average Loss  0.869519, Time  0.169630
2021-09-11 17:30:54.064992 : Epoch  6, Batch   2051, Loss  0.875560, Average Loss  0.869650, Time  0.169522
2021-09-11 17:30:55.655750 : Epoch  6, Batch   2052, Loss  0.875783, Average Loss  0.869747, Time  0.169941
2021-09-11 17:30:56.326910 : Epoch  6, Batch   1001, Loss  0.883085, Average Loss  0.870061, Time  0.415753
2021-09-11 17:30:57.257760 : Epoch  6, Batch   2053, Loss  0.869922, Average Loss  0.869799, Time  0.169930
2021-09-11 17:30:58.863807 : Epoch  6, Batch   2054, Loss  0.881452, Average Loss  0.869958, Time  0.169698
2021-09-11 17:31:00.475002 : Epoch  6, Batch   2055, Loss  0.877147, Average Loss  0.870049, Time  0.169891
2021-09-11 17:31:02.051991 : Epoch  6, Batch   2056, Loss  0.863902, Average Loss  0.870136, Time  0.169335
2021-09-11 17:31:02.764838 : Epoch  6, Batch   1002, Loss  0.889278, Average Loss  0.870204, Time  0.385852
2021-09-11 17:31:03.705036 : Epoch  6, Batch   2057, Loss  0.836732, Average Loss  0.869811, Time  0.174226
2021-09-11 17:31:05.284016 : Epoch  6, Batch   2058, Loss  0.861803, Average Loss  0.869641, Time  0.169848
2021-09-11 17:31:06.897749 : Epoch  6, Batch   2059, Loss  0.900989, Average Loss  0.869883, Time  0.171739
2021-09-11 17:31:08.130925 : Epoch  6, Batch   1003, Loss  0.855017, Average Loss  0.870133, Time  0.285427
2021-09-11 17:31:08.524764 : Epoch  6, Batch   2060, Loss  0.835924, Average Loss  0.869644, Time  0.169617
2021-09-11 17:31:10.137759 : Epoch  6, Batch   2061, Loss  0.842413, Average Loss  0.869377, Time  0.169495
2021-09-11 17:31:11.748919 : Epoch  6, Batch   2062, Loss  0.875212, Average Loss  0.869393, Time  0.169652
2021-09-11 17:31:13.387986 : Epoch  6, Batch   2063, Loss  0.854580, Average Loss  0.869349, Time  0.169778
2021-09-11 17:31:14.988812 : Epoch  6, Batch   2064, Loss  0.863804, Average Loss  0.869249, Time  0.169671
2021-09-11 17:31:16.601004 : Epoch  6, Batch   2065, Loss  0.857949, Average Loss  0.869090, Time  0.169911
2021-09-11 17:31:17.522921 : Epoch  6, Batch   1004, Loss  0.872098, Average Loss  0.870083, Time  0.482243
2021-09-11 17:31:18.213909 : Epoch  6, Batch   2066, Loss  0.829447, Average Loss  0.868979, Time  0.169565
2021-09-11 17:31:19.819889 : Epoch  6, Batch   2067, Loss  0.884861, Average Loss  0.868963, Time  0.169732
2021-09-11 17:31:21.434983 : Epoch  6, Batch   2068, Loss  0.865875, Average Loss  0.868998, Time  0.169608
2021-09-11 17:31:23.040846 : Epoch  6, Batch   2069, Loss  0.857009, Average Loss  0.868877, Time  0.169805
2021-09-11 17:31:24.666030 : Epoch  6, Batch   2070, Loss  0.849462, Average Loss  0.868691, Time  0.170013
2021-09-11 17:31:25.356029 : Epoch  6, Batch   1005, Loss  0.859032, Average Loss  0.870147, Time  0.407131
2021-09-11 17:31:26.281913 : Epoch  6, Batch   2071, Loss  0.837965, Average Loss  0.868505, Time  0.169878
2021-09-11 17:31:27.874889 : Epoch  6, Batch   2072, Loss  0.864227, Average Loss  0.868546, Time  0.169480
2021-09-11 17:31:28.671949 : Epoch  6, Batch   1006, Loss  0.868589, Average Loss  0.870197, Time  0.237722
2021-09-11 17:31:29.480747 : Epoch  6, Batch   2073, Loss  0.867371, Average Loss  0.868364, Time  0.169716
2021-09-11 17:31:31.081997 : Epoch  6, Batch   2074, Loss  0.846674, Average Loss  0.868025, Time  0.169790
2021-09-11 17:31:31.578046 : Epoch  6, Batch   1007, Loss  0.878014, Average Loss  0.870175, Time  0.140515
2021-09-11 17:31:32.673745 : Epoch  6, Batch   2075, Loss  0.901063, Average Loss  0.868394, Time  0.170143
2021-09-11 17:31:34.274862 : Epoch  6, Batch   2076, Loss  0.867629, Average Loss  0.868285, Time  0.169606
2021-09-11 17:31:35.605431 : Epoch  6, Batch   1008, Loss  0.873467, Average Loss  0.870148, Time  0.415876
2021-09-11 17:31:35.881005 : Epoch  6, Batch   2077, Loss  0.866619, Average Loss  0.868214, Time  0.169479
2021-09-11 17:31:37.492850 : Epoch  6, Batch   2078, Loss  0.858222, Average Loss  0.868083, Time  0.169828
2021-09-11 17:31:39.093997 : Epoch  6, Batch   2079, Loss  0.854188, Average Loss  0.867959, Time  0.169824
2021-09-11 17:31:40.702997 : Epoch  6, Batch   2080, Loss  0.829721, Average Loss  0.867752, Time  0.169808
2021-09-11 17:31:42.183824 : Epoch  6, Batch   1009, Loss  0.857060, Average Loss  0.870062, Time  0.300420
2021-09-11 17:31:42.308755 : Epoch  6, Batch   2081, Loss  0.861984, Average Loss  0.867719, Time  0.169775
2021-09-11 17:31:43.916001 : Epoch  6, Batch   2082, Loss  0.877421, Average Loss  0.867676, Time  0.169635
2021-09-11 17:31:45.568987 : Epoch  6, Batch   2083, Loss  0.903511, Average Loss  0.868000, Time  0.169904
2021-09-11 17:31:47.180793 : Epoch  6, Batch   2084, Loss  0.879112, Average Loss  0.868107, Time  0.169596
2021-09-11 17:31:48.795836 : Epoch  6, Batch   2085, Loss  0.895158, Average Loss  0.868399, Time  0.172122
2021-09-11 17:31:49.007288 : Epoch  6, Batch   1010, Loss  0.868826, Average Loss  0.870002, Time  0.364893
2021-09-11 17:31:50.423803 : Epoch  6, Batch   2086, Loss  0.868947, Average Loss  0.868387, Time  0.169432
2021-09-11 17:31:52.051995 : Epoch  6, Batch   2087, Loss  0.848099, Average Loss  0.868293, Time  0.169687
2021-09-11 17:31:53.553080 : Epoch  6, Batch   1011, Loss  0.864388, Average Loss  0.870136, Time  0.280306
2021-09-11 17:31:53.661993 : Epoch  6, Batch   2088, Loss  0.873975, Average Loss  0.868349, Time  0.169709
2021-09-11 17:31:55.312862 : Epoch  6, Batch   2089, Loss  0.908830, Average Loss  0.868452, Time  0.169967
2021-09-11 17:31:56.937751 : Epoch  6, Batch   2090, Loss  0.875139, Average Loss  0.868578, Time  0.172019
2021-09-11 17:31:58.537879 : Epoch  6, Batch   2091, Loss  0.859063, Average Loss  0.868579, Time  0.169772
2021-09-11 17:31:58.665096 : Epoch  6, Batch   1012, Loss  0.876152, Average Loss  0.870235, Time  0.382725
2021-09-11 17:32:00.121653 : Epoch  6, Batch   2092, Loss  0.835496, Average Loss  0.868248, Time  0.169732
2021-09-11 17:32:01.732046 : Epoch  6, Batch   2093, Loss  0.821181, Average Loss  0.868000, Time  0.176837
2021-09-11 17:32:03.343018 : Epoch  6, Batch   2094, Loss  0.864612, Average Loss  0.867925, Time  0.169903
2021-09-11 17:32:04.959777 : Epoch  6, Batch   2095, Loss  0.865421, Average Loss  0.867776, Time  0.180522
2021-09-11 17:32:05.561235 : Epoch  6, Batch   1013, Loss  0.867584, Average Loss  0.870145, Time  0.259218
2021-09-11 17:32:06.556820 : Epoch  6, Batch   2096, Loss  0.876752, Average Loss  0.867872, Time  0.171276
2021-09-11 17:32:08.177973 : Epoch  6, Batch   2097, Loss  0.873143, Average Loss  0.867714, Time  0.174925
2021-09-11 17:32:09.798040 : Epoch  6, Batch   2098, Loss  0.838699, Average Loss  0.867450, Time  0.180845
2021-09-11 17:32:10.078867 : Epoch  6, Batch   1014, Loss  0.899536, Average Loss  0.870319, Time  0.294858
2021-09-11 17:32:11.406857 : Epoch  6, Batch   2099, Loss  0.864502, Average Loss  0.867318, Time  0.169772
2021-09-11 17:32:13.041834 : Epoch  6, Batch   2100, Loss  0.853593, Average Loss  0.867435, Time  0.170198
2021-09-11 17:32:14.667822 : Epoch  6, Batch   2101, Loss  0.843515, Average Loss  0.867215, Time  0.169863
2021-09-11 17:32:15.378938 : Epoch  6, Batch   1015, Loss  0.849240, Average Loss  0.870248, Time  0.498109
2021-09-11 17:32:16.277024 : Epoch  6, Batch   2102, Loss  0.870721, Average Loss  0.867145, Time  0.169646
2021-09-11 17:32:17.888489 : Epoch  6, Batch   2103, Loss  0.874637, Average Loss  0.867115, Time  0.170787
2021-09-11 17:32:19.514843 : Epoch  6, Batch   2104, Loss  0.855032, Average Loss  0.867139, Time  0.171106
2021-09-11 17:32:20.430258 : Epoch  6, Batch   1016, Loss  0.856300, Average Loss  0.870104, Time  0.391856
2021-09-11 17:32:21.120726 : Epoch  6, Batch   2105, Loss  0.902711, Average Loss  0.867314, Time  0.174672
2021-09-11 17:32:22.740021 : Epoch  6, Batch   2106, Loss  0.862949, Average Loss  0.867182, Time  0.171499
2021-09-11 17:32:24.358750 : Epoch  6, Batch   2107, Loss  0.869202, Average Loss  0.867283, Time  0.179595
2021-09-11 17:32:25.961041 : Epoch  6, Batch   2108, Loss  0.880260, Average Loss  0.867399, Time  0.170834
2021-09-11 17:32:27.116901 : Epoch  6, Batch   1017, Loss  0.886842, Average Loss  0.870224, Time  0.518704
2021-09-11 17:32:27.557981 : Epoch  6, Batch   2109, Loss  0.870048, Average Loss  0.867444, Time  0.169726
2021-09-11 17:32:29.181035 : Epoch  6, Batch   2110, Loss  0.871248, Average Loss  0.867448, Time  0.170018
2021-09-11 17:32:30.786020 : Epoch  6, Batch   2111, Loss  0.877062, Average Loss  0.867522, Time  0.169757
2021-09-11 17:32:31.193039 : Epoch  6, Batch   1018, Loss  0.857482, Average Loss  0.870239, Time  0.456732
2021-09-11 17:32:32.410740 : Epoch  6, Batch   2112, Loss  0.856396, Average Loss  0.867507, Time  0.169564
2021-09-11 17:32:34.042763 : Epoch  6, Batch   2113, Loss  0.847641, Average Loss  0.867398, Time  0.175106
2021-09-11 17:32:35.671827 : Epoch  6, Batch   2114, Loss  0.869466, Average Loss  0.867332, Time  0.169734
2021-09-11 17:32:37.229977 : Epoch  6, Batch   1019, Loss  0.887453, Average Loss  0.870275, Time  0.457763
2021-09-11 17:32:37.290792 : Epoch  6, Batch   2115, Loss  0.858464, Average Loss  0.867219, Time  0.169714
2021-09-11 17:32:38.921019 : Epoch  6, Batch   2116, Loss  0.877007, Average Loss  0.867237, Time  0.170043
2021-09-11 17:32:40.549831 : Epoch  6, Batch   2117, Loss  0.847753, Average Loss  0.867059, Time  0.169564
2021-09-11 17:32:42.156979 : Epoch  6, Batch   2118, Loss  0.854436, Average Loss  0.866975, Time  0.169523
2021-09-11 17:32:43.781732 : Epoch  6, Batch   2119, Loss  0.807825, Average Loss  0.866711, Time  0.169865
2021-09-11 17:32:45.154772 : Epoch  6, Batch   1020, Loss  0.861409, Average Loss  0.870203, Time  0.564358
2021-09-11 17:32:45.397796 : Epoch  6, Batch   2120, Loss  0.859368, Average Loss  0.866567, Time  0.169576
2021-09-11 17:32:47.024909 : Epoch  6, Batch   2121, Loss  0.872146, Average Loss  0.866479, Time  0.169574
2021-09-11 17:32:48.624747 : Epoch  6, Batch   2122, Loss  0.849597, Average Loss  0.866476, Time  0.169420
2021-09-11 17:32:50.211819 : Epoch  6, Batch   2123, Loss  0.899606, Average Loss  0.866696, Time  0.169664
2021-09-11 17:32:51.838984 : Epoch  6, Batch   2124, Loss  0.855850, Average Loss  0.866714, Time  0.169829
2021-09-11 17:32:53.425804 : Epoch  6, Batch   2125, Loss  0.859993, Average Loss  0.866727, Time  0.169569
2021-09-11 17:32:55.020011 : Epoch  6, Batch   2126, Loss  0.888130, Average Loss  0.866927, Time  0.169471
2021-09-11 17:32:56.607029 : Epoch  6, Batch   2127, Loss  0.871559, Average Loss  0.866880, Time  0.170238
2021-09-11 17:32:58.202007 : Epoch  6, Batch   2128, Loss  0.869650, Average Loss  0.866901, Time  0.169732
2021-09-11 17:32:59.834842 : Epoch  6, Batch   2129, Loss  0.851459, Average Loss  0.866577, Time  0.169497
2021-09-11 17:33:01.449995 : Epoch  6, Batch   2130, Loss  0.857859, Average Loss  0.866528, Time  0.169477
2021-09-11 17:33:03.054772 : Epoch  6, Batch   2131, Loss  0.843278, Average Loss  0.866419, Time  0.169879
2021-09-11 17:33:04.671003 : Epoch  6, Batch   2132, Loss  0.865729, Average Loss  0.866322, Time  0.169563
2021-09-11 17:33:06.281831 : Epoch  6, Batch   2133, Loss  0.882473, Average Loss  0.866385, Time  0.169544
2021-09-11 17:33:07.886880 : Epoch  6, Batch   2134, Loss  0.864209, Average Loss  0.866397, Time  0.170722
2021-09-11 17:33:09.500998 : Epoch  6, Batch   2135, Loss  0.881405, Average Loss  0.866351, Time  0.169317
2021-09-11 17:33:11.106868 : Epoch  6, Batch   2136, Loss  0.878849, Average Loss  0.866457, Time  0.169855
2021-09-11 17:33:12.708751 : Epoch  6, Batch   2137, Loss  0.881502, Average Loss  0.866692, Time  0.171610
2021-09-11 17:33:14.350892 : Epoch  6, Batch   2138, Loss  0.837457, Average Loss  0.866476, Time  0.175494
2021-09-11 17:33:15.954887 : Epoch  6, Batch   2139, Loss  0.851725, Average Loss  0.866517, Time  0.174421
2021-09-11 17:33:17.558739 : Epoch  6, Batch   2140, Loss  0.874914, Average Loss  0.866753, Time  0.170278
2021-09-11 17:33:19.176851 : Epoch  6, Batch   2141, Loss  0.821197, Average Loss  0.866502, Time  0.169680
2021-09-11 17:33:20.789008 : Epoch  6, Batch   2142, Loss  0.868143, Average Loss  0.866546, Time  0.169368
2021-09-11 17:33:22.393746 : Epoch  6, Batch   2143, Loss  0.860997, Average Loss  0.866312, Time  0.169771
2021-09-11 17:33:24.003767 : Epoch  6, Batch   2144, Loss  0.856554, Average Loss  0.866299, Time  0.169813
2021-09-11 17:33:25.627003 : Epoch  6, Batch   2145, Loss  0.855350, Average Loss  0.866037, Time  0.169843
2021-09-11 17:38:07.077728 : CheckPoint: Validation Loss  0.00057510, Best Loss  0.00057296
2021-09-11 17:38:08.714810 : Epoch  6, Batch   2146, Loss  0.854767, Average Loss  0.865859, Time  0.177838
2021-09-11 17:38:10.318744 : Epoch  6, Batch   2147, Loss  0.877896, Average Loss  0.866038, Time  0.169981
2021-09-11 17:38:11.925988 : Epoch  6, Batch   2148, Loss  0.835079, Average Loss  0.865703, Time  0.169825
2021-09-11 17:38:13.531012 : Epoch  6, Batch   2149, Loss  0.893761, Average Loss  0.865844, Time  0.170162
2021-09-11 17:38:15.134996 : Epoch  6, Batch   2150, Loss  0.885333, Average Loss  0.865957, Time  0.169638
2021-09-11 17:38:16.754998 : Epoch  6, Batch   2151, Loss  0.845957, Average Loss  0.865812, Time  0.169778
2021-09-11 17:38:18.360983 : Epoch  6, Batch   2152, Loss  0.865936, Average Loss  0.865844, Time  0.169491
2021-09-11 17:38:19.973995 : Epoch  6, Batch   2153, Loss  0.880797, Average Loss  0.865840, Time  0.169571
2021-09-11 17:38:21.575999 : Epoch  6, Batch   2154, Loss  0.883909, Average Loss  0.865826, Time  0.169684
2021-09-11 17:38:23.200999 : Epoch  6, Batch   2155, Loss  0.855813, Average Loss  0.865656, Time  0.169752
2021-09-11 17:38:24.794008 : Epoch  6, Batch   2156, Loss  0.882923, Average Loss  0.865673, Time  0.169829
2021-09-11 17:38:26.425769 : Epoch  6, Batch   2157, Loss  0.840355, Average Loss  0.865594, Time  0.170029
2021-09-11 17:38:28.024990 : Epoch  6, Batch   2158, Loss  0.869350, Average Loss  0.865685, Time  0.175402
2021-09-11 17:38:29.638845 : Epoch  6, Batch   2159, Loss  0.844888, Average Loss  0.865484, Time  0.169736
2021-09-11 17:38:31.260777 : Epoch  6, Batch   2160, Loss  0.884436, Average Loss  0.865589, Time  0.169677
2021-09-11 17:38:32.845814 : Epoch  6, Batch   2161, Loss  0.867305, Average Loss  0.865526, Time  0.169875
2021-09-11 17:38:34.445744 : Epoch  6, Batch   2162, Loss  0.876986, Average Loss  0.865719, Time  0.169717
2021-09-11 17:38:36.063745 : Epoch  6, Batch   2163, Loss  0.857297, Average Loss  0.865668, Time  0.169500
2021-09-11 17:38:37.673862 : Epoch  6, Batch   2164, Loss  0.876413, Average Loss  0.865569, Time  0.169612
2021-09-11 17:38:39.292982 : Epoch  6, Batch   2165, Loss  0.891120, Average Loss  0.865638, Time  0.169529
2021-09-11 17:38:40.911849 : Epoch  6, Batch   2166, Loss  0.879495, Average Loss  0.865661, Time  0.169973
2021-09-11 17:38:42.525800 : Epoch  6, Batch   2167, Loss  0.858719, Average Loss  0.865555, Time  0.169863
2021-09-11 17:38:44.132773 : Epoch  6, Batch   2168, Loss  0.858365, Average Loss  0.865554, Time  0.172002
2021-09-11 17:38:45.738800 : Epoch  6, Batch   2169, Loss  0.896798, Average Loss  0.865724, Time  0.169672
2021-09-11 17:38:47.343767 : Epoch  6, Batch   2170, Loss  0.864903, Average Loss  0.865550, Time  0.169789
2021-09-11 17:38:48.960994 : Epoch  6, Batch   2171, Loss  0.860403, Average Loss  0.865522, Time  0.169621
2021-09-11 17:38:50.569996 : Epoch  6, Batch   2172, Loss  0.866809, Average Loss  0.865637, Time  0.169666
2021-09-11 17:38:52.168782 : Epoch  6, Batch   2173, Loss  0.928175, Average Loss  0.865877, Time  0.169716
2021-09-11 17:38:53.780992 : Epoch  6, Batch   2174, Loss  0.894086, Average Loss  0.866025, Time  0.169619
2021-09-11 17:38:55.401842 : Epoch  6, Batch   2175, Loss  0.871762, Average Loss  0.866024, Time  0.169806
2021-09-11 17:38:56.996993 : Epoch  6, Batch   2176, Loss  0.876927, Average Loss  0.866029, Time  0.169549
2021-09-11 17:38:58.599839 : Epoch  6, Batch   2177, Loss  0.879988, Average Loss  0.866037, Time  0.169972
2021-09-11 17:39:00.207868 : Epoch  6, Batch   2178, Loss  0.896195, Average Loss  0.866164, Time  0.170085
2021-09-11 17:39:01.798173 : Epoch  6, Batch   2179, Loss  0.868563, Average Loss  0.866117, Time  0.169481
2021-09-11 17:39:03.405000 : Epoch  6, Batch   2180, Loss  0.857138, Average Loss  0.866188, Time  0.170010
2021-09-11 17:39:05.011998 : Epoch  6, Batch   2181, Loss  0.875350, Average Loss  0.866197, Time  0.170191
2021-09-11 17:39:06.624896 : Epoch  6, Batch   2182, Loss  0.865675, Average Loss  0.866215, Time  0.172549
2021-09-11 17:39:08.262152 : Epoch  6, Batch   2183, Loss  0.866897, Average Loss  0.866152, Time  0.170150
2021-09-11 17:39:09.879001 : Epoch  6, Batch   2184, Loss  0.870459, Average Loss  0.866291, Time  0.169634
2021-09-11 17:39:11.492811 : Epoch  6, Batch   2185, Loss  0.878889, Average Loss  0.866425, Time  0.169858
2021-09-11 17:39:13.117761 : Epoch  6, Batch   2186, Loss  0.905176, Average Loss  0.866605, Time  0.169945
2021-09-11 17:39:14.735745 : Epoch  6, Batch   2187, Loss  0.856944, Average Loss  0.866520, Time  0.169715
2021-09-11 17:39:16.339821 : Epoch  6, Batch   2188, Loss  0.864229, Average Loss  0.866566, Time  0.170002
2021-09-11 17:39:17.950815 : Epoch  6, Batch   2189, Loss  0.877254, Average Loss  0.866682, Time  0.170273
2021-09-11 17:39:19.564777 : Epoch  6, Batch   2190, Loss  0.851781, Average Loss  0.866625, Time  0.169917
2021-09-11 17:39:21.170878 : Epoch  6, Batch   2191, Loss  0.884011, Average Loss  0.866664, Time  0.169343
2021-09-11 17:39:22.758752 : Epoch  6, Batch   2192, Loss  0.878617, Average Loss  0.866545, Time  0.169761
2021-09-11 17:39:24.333853 : Epoch  6, Batch   2193, Loss  0.882397, Average Loss  0.866684, Time  0.169641
2021-09-11 17:39:25.943778 : Epoch  6, Batch   2194, Loss  0.865617, Average Loss  0.866624, Time  0.170002
2021-09-11 17:39:27.555007 : Epoch  6, Batch   2195, Loss  0.884958, Average Loss  0.866606, Time  0.170171
2021-09-11 17:39:29.158828 : Epoch  6, Batch   2196, Loss  0.886177, Average Loss  0.866756, Time  0.170256
2021-09-11 17:39:30.768013 : Epoch  6, Batch   2197, Loss  0.847335, Average Loss  0.866604, Time  0.172225
2021-09-11 17:39:32.378879 : Epoch  6, Batch   2198, Loss  0.842785, Average Loss  0.866418, Time  0.170988
2021-09-11 17:39:33.997015 : Epoch  6, Batch   2199, Loss  0.867422, Average Loss  0.866584, Time  0.169968
2021-09-11 17:39:35.614025 : Epoch  6, Batch   2200, Loss  0.867811, Average Loss  0.866540, Time  0.169797
2021-09-11 17:39:37.240041 : Epoch  6, Batch   2201, Loss  0.855466, Average Loss  0.866462, Time  0.169789
2021-09-11 17:39:38.858840 : Epoch  6, Batch   2202, Loss  0.856537, Average Loss  0.866320, Time  0.172491
2021-09-11 17:39:40.473788 : Epoch  6, Batch   2203, Loss  0.868572, Average Loss  0.866610, Time  0.169879
2021-09-11 17:39:42.087786 : Epoch  6, Batch   2204, Loss  0.842110, Average Loss  0.866444, Time  0.169806
2021-09-11 17:39:43.712931 : Epoch  6, Batch   2205, Loss  0.880720, Average Loss  0.866412, Time  0.169808
2021-09-11 17:39:45.326794 : Epoch  6, Batch   2206, Loss  0.877235, Average Loss  0.866312, Time  0.169854
2021-09-11 17:39:46.943000 : Epoch  6, Batch   2207, Loss  0.852872, Average Loss  0.866198, Time  0.169662
2021-09-11 17:39:48.556755 : Epoch  6, Batch   2208, Loss  0.900449, Average Loss  0.866254, Time  0.169666
2021-09-11 17:39:50.158004 : Epoch  6, Batch   2209, Loss  0.843853, Average Loss  0.866005, Time  0.169742
2021-09-11 17:39:51.785992 : Epoch  6, Batch   2210, Loss  0.867746, Average Loss  0.866018, Time  0.169479
2021-09-11 17:39:53.402002 : Epoch  6, Batch   2211, Loss  0.858455, Average Loss  0.865985, Time  0.169740
2021-09-11 17:39:55.003793 : Epoch  6, Batch   2212, Loss  0.852234, Average Loss  0.865855, Time  0.169690
2021-09-11 17:39:56.612002 : Epoch  6, Batch   2213, Loss  0.905733, Average Loss  0.866137, Time  0.169655
2021-09-11 17:39:58.242999 : Epoch  6, Batch   2214, Loss  0.868454, Average Loss  0.866050, Time  0.169684
2021-09-11 17:39:59.855993 : Epoch  6, Batch   2215, Loss  0.876266, Average Loss  0.866035, Time  0.169394
2021-09-11 17:40:01.456006 : Epoch  6, Batch   2216, Loss  0.850283, Average Loss  0.866030, Time  0.169774
2021-09-11 17:40:03.063028 : Epoch  6, Batch   2217, Loss  0.881066, Average Loss  0.865993, Time  0.172058
2021-09-11 17:40:04.655771 : Epoch  6, Batch   2218, Loss  0.874797, Average Loss  0.866208, Time  0.169715
2021-09-11 17:40:06.253246 : Epoch  6, Batch   2219, Loss  0.901822, Average Loss  0.866466, Time  0.169708
2021-09-11 17:40:07.841748 : Epoch  6, Batch   2220, Loss  0.872679, Average Loss  0.866594, Time  0.169690
2021-09-11 17:40:09.479814 : Epoch  6, Batch   2221, Loss  0.882110, Average Loss  0.866642, Time  0.169710
2021-09-11 17:40:11.072814 : Epoch  6, Batch   2222, Loss  0.876438, Average Loss  0.866781, Time  0.169933
2021-09-11 17:40:12.666747 : Epoch  6, Batch   2223, Loss  0.849575, Average Loss  0.866771, Time  0.169784
2021-09-11 17:40:14.263805 : Epoch  6, Batch   2224, Loss  0.886529, Average Loss  0.867027, Time  0.171233
2021-09-11 17:40:15.843007 : Epoch  6, Batch   2225, Loss  0.877666, Average Loss  0.866974, Time  0.169686
2021-09-11 17:40:17.437799 : Epoch  6, Batch   2226, Loss  0.862794, Average Loss  0.866846, Time  0.169600
2021-09-11 17:40:19.023894 : Epoch  6, Batch   2227, Loss  0.874338, Average Loss  0.866918, Time  0.169635
2021-09-11 17:40:20.601963 : Epoch  6, Batch   2228, Loss  0.871731, Average Loss  0.866856, Time  0.170120
2021-09-11 17:40:22.205785 : Epoch  6, Batch   2229, Loss  0.872739, Average Loss  0.866898, Time  0.169703
2021-09-11 17:40:23.823000 : Epoch  6, Batch   2230, Loss  0.867547, Average Loss  0.867038, Time  0.169860
2021-09-11 17:40:25.450779 : Epoch  6, Batch   2231, Loss  0.867620, Average Loss  0.867014, Time  0.169594
2021-09-11 17:40:27.045743 : Epoch  6, Batch   2232, Loss  0.856267, Average Loss  0.867031, Time  0.169749
2021-09-11 17:40:28.650793 : Epoch  6, Batch   2233, Loss  0.866994, Average Loss  0.867030, Time  0.169770
2021-09-11 17:40:30.254981 : Epoch  6, Batch   2234, Loss  0.898330, Average Loss  0.867112, Time  0.169663
2021-09-11 17:40:31.856747 : Epoch  6, Batch   2235, Loss  0.876300, Average Loss  0.867280, Time  0.171875
2021-09-11 17:40:33.463995 : Epoch  6, Batch   2236, Loss  0.861651, Average Loss  0.867223, Time  0.170062
2021-09-11 17:40:35.076745 : Epoch  6, Batch   2237, Loss  0.841594, Average Loss  0.867035, Time  0.169686
2021-09-11 17:40:36.683803 : Epoch  6, Batch   2238, Loss  0.870017, Average Loss  0.867072, Time  0.169477
2021-09-11 17:40:38.288999 : Epoch  6, Batch   2239, Loss  0.852516, Average Loss  0.866751, Time  0.169944
2021-09-11 17:40:39.893939 : Epoch  6, Batch   2240, Loss  0.890368, Average Loss  0.866932, Time  0.169652
2021-09-11 17:40:41.502995 : Epoch  6, Batch   2241, Loss  0.872452, Average Loss  0.867064, Time  0.169824
2021-09-11 17:40:43.115824 : Epoch  6, Batch   2242, Loss  0.861487, Average Loss  0.867076, Time  0.171852
2021-09-11 17:40:44.729744 : Epoch  6, Batch   2243, Loss  0.851909, Average Loss  0.867201, Time  0.169995
2021-09-11 17:40:46.330760 : Epoch  6, Batch   2244, Loss  0.884645, Average Loss  0.867269, Time  0.169626
2021-09-11 17:40:47.928832 : Epoch  6, Batch   2245, Loss  0.850318, Average Loss  0.867212, Time  0.169707
2021-09-11 17:41:25.291717 : CheckPoint: Validation Loss  0.00030295, Best Loss  0.00029019
2021-09-11 17:41:31.543239 : Epoch  6, Batch   1021, Loss  0.875445, Average Loss  0.870259, Time  0.394821
2021-09-11 17:41:37.946980 : Epoch  6, Batch   1022, Loss  0.880276, Average Loss  0.870340, Time  0.252908
2021-09-11 17:41:46.237348 : Epoch  6, Batch   1023, Loss  0.871291, Average Loss  0.870266, Time  0.240140
2021-09-11 17:41:53.683788 : Epoch  6, Batch   1024, Loss  0.859622, Average Loss  0.870115, Time  0.260156
2021-09-11 17:41:58.188102 : Epoch  6, Batch   1025, Loss  0.881323, Average Loss  0.870069, Time  0.260249
2021-09-11 17:42:04.349039 : Epoch  6, Batch   1026, Loss  0.890365, Average Loss  0.870248, Time  0.302424
2021-09-11 17:42:08.086099 : Epoch  6, Batch   1027, Loss  0.866100, Average Loss  0.870223, Time  0.241103
2021-09-11 17:42:12.219089 : Epoch  6, Batch   1028, Loss  0.889177, Average Loss  0.870276, Time  0.238589
2021-09-11 17:42:19.938468 : Epoch  6, Batch   1029, Loss  0.884036, Average Loss  0.870394, Time  0.428755
2021-09-11 17:42:24.385854 : Epoch  6, Batch   1030, Loss  0.891993, Average Loss  0.870532, Time  0.250458
2021-09-11 17:42:30.040496 : Epoch  6, Batch   1031, Loss  0.874073, Average Loss  0.870501, Time  0.284552
2021-09-11 17:42:35.964702 : Epoch  6, Batch   1032, Loss  0.888967, Average Loss  0.870642, Time  0.237729
2021-09-11 17:42:41.211510 : Epoch  6, Batch   1033, Loss  0.872426, Average Loss  0.870649, Time  0.471650
2021-09-11 17:42:47.028911 : Epoch  6, Batch   1034, Loss  0.872481, Average Loss  0.870643, Time  0.259601
2021-09-11 17:42:52.942959 : Epoch  6, Batch   1035, Loss  0.879158, Average Loss  0.870660, Time  0.285943
2021-09-11 17:42:58.616781 : Epoch  6, Batch   1036, Loss  0.880167, Average Loss  0.870658, Time  0.338475
2021-09-11 17:43:03.489019 : Epoch  6, Batch   1037, Loss  0.887893, Average Loss  0.870711, Time  0.358658
2021-09-11 17:43:07.736502 : Epoch  6, Batch   1038, Loss  0.878884, Average Loss  0.870755, Time  0.327071
2021-09-11 17:43:11.690472 : Epoch  6, Batch   1039, Loss  0.862127, Average Loss  0.870688, Time  0.302908
2021-09-11 17:43:19.368867 : Epoch  6, Batch   1040, Loss  0.860295, Average Loss  0.870756, Time  0.304663
2021-09-11 17:43:26.954023 : Epoch  6, Batch   1041, Loss  0.873312, Average Loss  0.870811, Time  0.393146
2021-09-11 17:43:33.196193 : Epoch  6, Batch   1042, Loss  0.860291, Average Loss  0.870801, Time  0.383855
2021-09-11 17:43:39.600234 : Epoch  6, Batch   1043, Loss  0.885205, Average Loss  0.870859, Time  0.460696
2021-09-11 17:43:45.857452 : Epoch  6, Batch   1044, Loss  0.870294, Average Loss  0.870892, Time  0.342502
2021-09-11 17:43:49.746919 : Epoch  6, Batch   1045, Loss  0.866689, Average Loss  0.870867, Time  0.311162
2021-09-11 17:43:56.433473 : Epoch  6, Batch   1046, Loss  0.864739, Average Loss  0.870914, Time  0.298837
2021-09-11 17:44:03.421294 : Epoch  6, Batch   1047, Loss  0.869994, Average Loss  0.870930, Time  0.295674
2021-09-11 17:44:09.360831 : Epoch  6, Batch   1048, Loss  0.853169, Average Loss  0.870845, Time  0.303363
2021-09-11 17:44:15.079329 : Epoch  6, Batch   1049, Loss  0.854144, Average Loss  0.870740, Time  0.432672
2021-09-11 17:44:21.572296 : Epoch  6, Batch   1050, Loss  0.892159, Average Loss  0.870907, Time  0.436848
2021-09-11 17:44:28.564479 : Epoch  6, Batch   1051, Loss  0.854305, Average Loss  0.870799, Time  0.428007
2021-09-11 17:44:34.418295 : Epoch  6, Batch   1052, Loss  0.890180, Average Loss  0.870859, Time  0.390250
2021-09-11 17:44:40.578017 : Epoch  6, Batch   1053, Loss  0.888714, Average Loss  0.870910, Time  0.291637
2021-09-11 17:44:46.162265 : Epoch  6, Batch   1054, Loss  0.872646, Average Loss  0.871029, Time  0.301632
2021-09-11 17:44:50.990041 : Epoch  6, Batch   1055, Loss  0.866585, Average Loss  0.870950, Time  0.335657
2021-09-11 17:44:57.144701 : Epoch  6, Batch   1056, Loss  0.879652, Average Loss  0.871040, Time  0.343382
2021-09-11 17:45:03.527199 : Epoch  6, Batch   1057, Loss  0.887452, Average Loss  0.871196, Time  0.496731
2021-09-11 17:45:08.408276 : Epoch  6, Batch   1058, Loss  0.858655, Average Loss  0.871205, Time  0.279763
2021-09-11 17:45:14.559181 : Epoch  6, Batch   1059, Loss  0.864016, Average Loss  0.871220, Time  0.325071
2021-09-11 17:45:20.699131 : Epoch  6, Batch   1060, Loss  0.872137, Average Loss  0.871205, Time  0.264620
2021-09-11 17:45:25.934571 : Epoch  6, Batch   1061, Loss  0.875292, Average Loss  0.871258, Time  0.338919
2021-09-11 17:45:28.509713 : CheckPoint: Validation Loss  0.00060000, Best Loss  0.00057296
2021-09-11 17:45:30.134929 : Epoch  6, Batch   2246, Loss  0.883309, Average Loss  0.867392, Time  0.177370
2021-09-11 17:45:31.729730 : Epoch  6, Batch   2247, Loss  0.872786, Average Loss  0.867383, Time  0.170367
2021-09-11 17:45:31.815069 : Epoch  6, Batch   1062, Loss  0.860151, Average Loss  0.871233, Time  0.313609
2021-09-11 17:45:33.341978 : Epoch  6, Batch   2248, Loss  0.891191, Average Loss  0.867472, Time  0.169846
2021-09-11 17:45:34.923801 : Epoch  6, Batch   2249, Loss  0.853480, Average Loss  0.867395, Time  0.170179
2021-09-11 17:45:36.525022 : Epoch  6, Batch   2250, Loss  0.880142, Average Loss  0.867471, Time  0.171814
2021-09-11 17:45:38.166874 : Epoch  6, Batch   2251, Loss  0.861687, Average Loss  0.867401, Time  0.178214
2021-09-11 17:45:38.243363 : Epoch  6, Batch   1063, Loss  0.876630, Average Loss  0.871306, Time  0.314014
2021-09-11 17:45:39.773017 : Epoch  6, Batch   2252, Loss  0.835118, Average Loss  0.867198, Time  0.173546
2021-09-11 17:45:41.394029 : Epoch  6, Batch   2253, Loss  0.842559, Average Loss  0.867061, Time  0.179217
2021-09-11 17:45:42.994012 : Epoch  6, Batch   2254, Loss  0.846074, Average Loss  0.866884, Time  0.172960
2021-09-11 17:45:44.543681 : Epoch  6, Batch   1064, Loss  0.884284, Average Loss  0.871394, Time  0.279692
2021-09-11 17:45:44.584805 : Epoch  6, Batch   2255, Loss  0.881449, Average Loss  0.866906, Time  0.170468
2021-09-11 17:45:46.170021 : Epoch  6, Batch   2256, Loss  0.873356, Average Loss  0.866953, Time  0.173124
2021-09-11 17:45:47.768744 : Epoch  6, Batch   2257, Loss  0.874270, Average Loss  0.867141, Time  0.171979
2021-09-11 17:45:49.387027 : Epoch  6, Batch   2258, Loss  0.880537, Average Loss  0.867234, Time  0.174218
2021-09-11 17:45:50.989748 : Epoch  6, Batch   2259, Loss  0.837806, Average Loss  0.866919, Time  0.174320
2021-09-11 17:45:51.016690 : Epoch  6, Batch   1065, Loss  0.863341, Average Loss  0.871346, Time  0.239004
2021-09-11 17:45:52.604032 : Epoch  6, Batch   2260, Loss  0.872972, Average Loss  0.867104, Time  0.169832
2021-09-11 17:45:54.209784 : Epoch  6, Batch   2261, Loss  0.883904, Average Loss  0.867311, Time  0.172582
2021-09-11 17:45:55.827033 : Epoch  6, Batch   2262, Loss  0.851660, Average Loss  0.867193, Time  0.171441
2021-09-11 17:45:56.189784 : Epoch  6, Batch   1066, Loss  0.877318, Average Loss  0.871324, Time  0.267083
2021-09-11 17:45:57.451035 : Epoch  6, Batch   2263, Loss  0.876928, Average Loss  0.867305, Time  0.177432
2021-09-11 17:45:59.076027 : Epoch  6, Batch   2264, Loss  0.857903, Average Loss  0.867276, Time  0.171351
2021-09-11 17:46:00.671032 : Epoch  6, Batch   2265, Loss  0.862201, Average Loss  0.867297, Time  0.171982
2021-09-11 17:46:00.953536 : Epoch  6, Batch   1067, Loss  0.872311, Average Loss  0.871333, Time  0.283219
2021-09-11 17:46:02.278071 : Epoch  6, Batch   2266, Loss  0.876693, Average Loss  0.867533, Time  0.171023
2021-09-11 17:46:03.885046 : Epoch  6, Batch   2267, Loss  0.861862, Average Loss  0.867418, Time  0.172209
2021-09-11 17:46:05.493907 : Epoch  6, Batch   2268, Loss  0.873912, Average Loss  0.867458, Time  0.170039
2021-09-11 17:46:06.321699 : Epoch  6, Batch   1068, Loss  0.878913, Average Loss  0.871321, Time  0.291691
2021-09-11 17:46:07.086041 : Epoch  6, Batch   2269, Loss  0.849008, Average Loss  0.867418, Time  0.169984
2021-09-11 17:46:08.693037 : Epoch  6, Batch   2270, Loss  0.868687, Average Loss  0.867514, Time  0.169909
2021-09-11 17:46:10.326030 : Epoch  6, Batch   2271, Loss  0.870733, Average Loss  0.867678, Time  0.180854
2021-09-11 17:46:10.909742 : Epoch  6, Batch   1069, Loss  0.866674, Average Loss  0.871285, Time  0.337850
2021-09-11 17:46:11.924834 : Epoch  6, Batch   2272, Loss  0.875637, Average Loss  0.867735, Time  0.174559
2021-09-11 17:46:13.506495 : Epoch  6, Batch   2273, Loss  0.890671, Average Loss  0.867852, Time  0.171551
2021-09-11 17:46:15.103818 : Epoch  6, Batch   2274, Loss  0.908050, Average Loss  0.868159, Time  0.170205
2021-09-11 17:46:16.724842 : Epoch  6, Batch   2275, Loss  0.843717, Average Loss  0.867872, Time  0.171016
2021-09-11 17:46:17.560979 : Epoch  6, Batch   1070, Loss  0.857224, Average Loss  0.871235, Time  0.298015
2021-09-11 17:46:18.333026 : Epoch  6, Batch   2276, Loss  0.869326, Average Loss  0.867881, Time  0.169850
2021-09-11 17:46:19.950960 : Epoch  6, Batch   2277, Loss  0.857096, Average Loss  0.867833, Time  0.170312
2021-09-11 17:46:21.571853 : Epoch  6, Batch   2278, Loss  0.908693, Average Loss  0.868085, Time  0.169791
2021-09-11 17:46:22.328962 : Epoch  6, Batch   1071, Loss  0.883378, Average Loss  0.871447, Time  0.275918
2021-09-11 17:46:23.181758 : Epoch  6, Batch   2279, Loss  0.872234, Average Loss  0.868175, Time  0.169925
2021-09-11 17:46:24.773789 : Epoch  6, Batch   2280, Loss  0.855362, Average Loss  0.868304, Time  0.169799
2021-09-11 17:46:26.386802 : Epoch  6, Batch   2281, Loss  0.878614, Average Loss  0.868387, Time  0.169689
2021-09-11 17:46:27.736239 : Epoch  6, Batch   1072, Loss  0.860281, Average Loss  0.871412, Time  0.409846
2021-09-11 17:46:28.011805 : Epoch  6, Batch   2282, Loss  0.847759, Average Loss  0.868239, Time  0.176168
2021-09-11 17:46:29.642021 : Epoch  6, Batch   2283, Loss  0.895835, Average Loss  0.868200, Time  0.172749
2021-09-11 17:46:31.253840 : Epoch  6, Batch   2284, Loss  0.874847, Average Loss  0.868179, Time  0.169574
2021-09-11 17:46:31.740818 : Epoch  6, Batch   1073, Loss  0.874464, Average Loss  0.871396, Time  0.279752
2021-09-11 17:46:32.864996 : Epoch  6, Batch   2285, Loss  0.864441, Average Loss  0.868025, Time  0.169669
2021-09-11 17:46:34.477858 : Epoch  6, Batch   2286, Loss  0.851163, Average Loss  0.867936, Time  0.169719
2021-09-11 17:46:36.078778 : Epoch  6, Batch   2287, Loss  0.853923, Average Loss  0.867965, Time  0.169723
2021-09-11 17:46:36.202992 : Epoch  6, Batch   1074, Loss  0.875544, Average Loss  0.871440, Time  0.239133
2021-09-11 17:46:37.681848 : Epoch  6, Batch   2288, Loss  0.881872, Average Loss  0.868005, Time  0.169558
2021-09-11 17:46:39.287777 : Epoch  6, Batch   2289, Loss  0.849934, Average Loss  0.867710, Time  0.169624
2021-09-11 17:46:40.888006 : Epoch  6, Batch   2290, Loss  0.879547, Average Loss  0.867732, Time  0.169660
2021-09-11 17:46:42.494999 : Epoch  6, Batch   2291, Loss  0.867867, Average Loss  0.867777, Time  0.171895
2021-09-11 17:46:42.924773 : Epoch  6, Batch   1075, Loss  0.868359, Average Loss  0.871465, Time  0.253897
2021-09-11 17:46:44.091805 : Epoch  6, Batch   2292, Loss  0.866801, Average Loss  0.867933, Time  0.169852
2021-09-11 17:46:45.703374 : Epoch  6, Batch   2293, Loss  0.841498, Average Loss  0.868035, Time  0.177288
2021-09-11 17:46:47.320807 : Epoch  6, Batch   2294, Loss  0.866970, Average Loss  0.868046, Time  0.169691
2021-09-11 17:46:48.941993 : Epoch  6, Batch   2295, Loss  0.877782, Average Loss  0.868108, Time  0.169926
2021-09-11 17:46:49.204071 : Epoch  6, Batch   1076, Loss  0.883169, Average Loss  0.871529, Time  0.367194
2021-09-11 17:46:50.552761 : Epoch  6, Batch   2296, Loss  0.883948, Average Loss  0.868144, Time  0.169726
2021-09-11 17:46:52.163992 : Epoch  6, Batch   2297, Loss  0.833116, Average Loss  0.867944, Time  0.169344
2021-09-11 17:46:53.771759 : Epoch  6, Batch   2298, Loss  0.839204, Average Loss  0.867947, Time  0.169819
2021-09-11 17:46:55.120564 : Epoch  6, Batch   1077, Loss  0.871616, Average Loss  0.871411, Time  0.387805
2021-09-11 17:46:55.380742 : Epoch  6, Batch   2299, Loss  0.858649, Average Loss  0.867917, Time  0.169867
2021-09-11 17:46:56.997985 : Epoch  6, Batch   2300, Loss  0.885481, Average Loss  0.868077, Time  0.169734
2021-09-11 17:46:58.597752 : Epoch  6, Batch   2301, Loss  0.866636, Average Loss  0.868192, Time  0.169698
2021-09-11 17:46:59.972136 : Epoch  6, Batch   1078, Loss  0.877145, Average Loss  0.871401, Time  0.276942
2021-09-11 17:47:00.206753 : Epoch  6, Batch   2302, Loss  0.833792, Average Loss  0.868008, Time  0.170151
2021-09-11 17:47:01.807849 : Epoch  6, Batch   2303, Loss  0.883457, Average Loss  0.868052, Time  0.170082
2021-09-11 17:47:03.431912 : Epoch  6, Batch   2304, Loss  0.852785, Average Loss  0.868041, Time  0.170038
2021-09-11 17:47:05.036732 : Epoch  6, Batch   2305, Loss  0.882047, Average Loss  0.867937, Time  0.171745
2021-09-11 17:47:06.653869 : Epoch  6, Batch   2306, Loss  0.856443, Average Loss  0.867905, Time  0.170101
2021-09-11 17:47:07.155729 : Epoch  6, Batch   1079, Loss  0.850862, Average Loss  0.871224, Time  0.262031
2021-09-11 17:47:08.264797 : Epoch  6, Batch   2307, Loss  0.839362, Average Loss  0.867756, Time  0.169969
2021-09-11 17:47:09.874994 : Epoch  6, Batch   2308, Loss  0.873072, Average Loss  0.867720, Time  0.169631
2021-09-11 17:47:11.480922 : Epoch  6, Batch   2309, Loss  0.849848, Average Loss  0.867619, Time  0.169743
2021-09-11 17:47:13.096807 : Epoch  6, Batch   2310, Loss  0.864612, Average Loss  0.867585, Time  0.169749
2021-09-11 17:47:14.492391 : Epoch  6, Batch   1080, Loss  0.867856, Average Loss  0.871237, Time  0.334286
2021-09-11 17:47:14.697005 : Epoch  6, Batch   2311, Loss  0.856905, Average Loss  0.867485, Time  0.169943
2021-09-11 17:47:16.295795 : Epoch  6, Batch   2312, Loss  0.855795, Average Loss  0.867482, Time  0.169906
2021-09-11 17:47:17.895992 : Epoch  6, Batch   2313, Loss  0.880444, Average Loss  0.867646, Time  0.169893
2021-09-11 17:47:19.507993 : Epoch  6, Batch   2314, Loss  0.879713, Average Loss  0.867697, Time  0.172040
2021-09-11 17:47:21.115995 : Epoch  6, Batch   2315, Loss  0.896919, Average Loss  0.867889, Time  0.169926
2021-09-11 17:47:21.466791 : Epoch  6, Batch   1081, Loss  0.860933, Average Loss  0.871191, Time  0.402340
2021-09-11 17:47:22.716821 : Epoch  6, Batch   2316, Loss  0.853444, Average Loss  0.867771, Time  0.169703
2021-09-11 17:47:24.294815 : Epoch  6, Batch   2317, Loss  0.873451, Average Loss  0.867900, Time  0.169699
2021-09-11 17:47:25.727183 : Epoch  6, Batch   1082, Loss  0.869388, Average Loss  0.871289, Time  0.358171
2021-09-11 17:47:25.873998 : Epoch  6, Batch   2318, Loss  0.871999, Average Loss  0.867988, Time  0.169340
2021-09-11 17:47:27.451008 : Epoch  6, Batch   2319, Loss  0.869907, Average Loss  0.868298, Time  0.169816
2021-09-11 17:47:29.041763 : Epoch  6, Batch   2320, Loss  0.870782, Average Loss  0.868355, Time  0.169672
2021-09-11 17:47:30.003034 : Epoch  6, Batch   1083, Loss  0.884883, Average Loss  0.871390, Time  0.334209
2021-09-11 17:47:30.654768 : Epoch  6, Batch   2321, Loss  0.884804, Average Loss  0.868418, Time  0.169719
2021-09-11 17:47:32.257776 : Epoch  6, Batch   2322, Loss  0.868076, Average Loss  0.868511, Time  0.169981
2021-09-11 17:47:33.843847 : Epoch  6, Batch   2323, Loss  0.884063, Average Loss  0.868433, Time  0.169476
2021-09-11 17:47:35.448794 : Epoch  6, Batch   2324, Loss  0.860746, Average Loss  0.868458, Time  0.169963
2021-09-11 17:47:35.763226 : Epoch  6, Batch   1084, Loss  0.855596, Average Loss  0.871275, Time  0.320639
2021-09-11 17:47:37.027006 : Epoch  6, Batch   2325, Loss  0.896110, Average Loss  0.868638, Time  0.169650
2021-09-11 17:47:38.605730 : Epoch  6, Batch   2326, Loss  0.869754, Average Loss  0.868546, Time  0.169503
2021-09-11 17:47:40.197806 : Epoch  6, Batch   2327, Loss  0.874567, Average Loss  0.868561, Time  0.169528
2021-09-11 17:47:41.791837 : Epoch  6, Batch   2328, Loss  0.875439, Average Loss  0.868590, Time  0.169530
2021-09-11 17:47:41.799013 : Epoch  6, Batch   1085, Loss  0.876650, Average Loss  0.871309, Time  0.365233
2021-09-11 17:47:43.359797 : Epoch  6, Batch   2329, Loss  0.861959, Average Loss  0.868643, Time  0.169924
2021-09-11 17:47:44.947982 : Epoch  6, Batch   2330, Loss  0.857055, Average Loss  0.868639, Time  0.169620
2021-09-11 17:47:46.542835 : Epoch  6, Batch   2331, Loss  0.858760, Average Loss  0.868716, Time  0.169622
2021-09-11 17:47:48.190832 : Epoch  6, Batch   2332, Loss  0.861003, Average Loss  0.868693, Time  0.170074
2021-09-11 17:47:49.813999 : Epoch  6, Batch   2333, Loss  0.846671, Average Loss  0.868514, Time  0.169853
2021-09-11 17:47:50.729820 : Epoch  6, Batch   1087, Loss  0.867052, Average Loss  0.871271, Time  0.259769
2021-09-11 17:47:51.425802 : Epoch  6, Batch   2334, Loss  0.855808, Average Loss  0.868472, Time  0.169672
2021-09-11 17:47:53.033823 : Epoch  6, Batch   2335, Loss  0.856243, Average Loss  0.868346, Time  0.169721
2021-09-11 17:47:54.643735 : Epoch  6, Batch   2336, Loss  0.866440, Average Loss  0.868284, Time  0.169868
2021-09-11 17:47:55.267210 : Epoch  6, Batch   1088, Loss  0.879612, Average Loss  0.871263, Time  0.447878
2021-09-11 17:47:56.266800 : Epoch  6, Batch   2337, Loss  0.859432, Average Loss  0.868173, Time  0.169832
2021-09-11 17:47:57.859999 : Epoch  6, Batch   2338, Loss  0.876846, Average Loss  0.868370, Time  0.172547
2021-09-11 17:47:59.463731 : Epoch  6, Batch   2339, Loss  0.874579, Average Loss  0.868485, Time  0.169980
2021-09-11 17:48:01.068843 : Epoch  6, Batch   2340, Loss  0.878335, Average Loss  0.868502, Time  0.170336
2021-09-11 17:48:02.701807 : Epoch  6, Batch   2341, Loss  0.877783, Average Loss  0.868785, Time  0.169598
2021-09-11 17:48:04.307806 : Epoch  6, Batch   2342, Loss  0.852009, Average Loss  0.868704, Time  0.169726
2021-09-11 17:48:05.907771 : Epoch  6, Batch   2343, Loss  0.851216, Average Loss  0.868655, Time  0.169919
2021-09-11 17:48:06.698841 : Epoch  6, Batch   1090, Loss  0.852187, Average Loss  0.871238, Time  0.260317
2021-09-11 17:48:07.477837 : Epoch  6, Batch   2344, Loss  0.871494, Average Loss  0.868730, Time  0.169665
2021-09-11 17:48:09.064855 : Epoch  6, Batch   2345, Loss  0.866512, Average Loss  0.868786, Time  0.169731
2021-09-11 17:48:11.578601 : Epoch  6, Batch   1091, Loss  0.851371, Average Loss  0.871190, Time  0.315012
2021-09-11 17:48:16.776800 : Epoch  6, Batch   1092, Loss  0.849231, Average Loss  0.871084, Time  0.253401
2021-09-11 17:48:20.329092 : Epoch  6, Batch   1093, Loss  0.875510, Average Loss  0.871102, Time  0.280394
2021-09-11 17:48:24.606003 : Epoch  6, Batch   1094, Loss  0.862018, Average Loss  0.871121, Time  0.297328
2021-09-11 17:48:31.220449 : Epoch  6, Batch   1095, Loss  0.879455, Average Loss  0.871131, Time  0.302116
2021-09-11 17:48:37.674389 : Epoch  6, Batch   1096, Loss  0.865699, Average Loss  0.871152, Time  0.385238
2021-09-11 17:48:43.592748 : Epoch  6, Batch   1097, Loss  0.847886, Average Loss  0.871097, Time  0.291371
2021-09-11 17:48:48.097894 : Epoch  6, Batch   1098, Loss  0.880918, Average Loss  0.871241, Time  0.240185
2021-09-11 17:48:52.150095 : Epoch  6, Batch   1099, Loss  0.883761, Average Loss  0.871307, Time  0.239778
2021-09-11 17:48:59.995731 : Epoch  6, Batch   1100, Loss  0.873717, Average Loss  0.871352, Time  0.419016
2021-09-11 17:49:06.671985 : Epoch  6, Batch   1101, Loss  0.874950, Average Loss  0.871385, Time  0.535749
2021-09-11 17:49:13.516194 : Epoch  6, Batch   1102, Loss  0.881083, Average Loss  0.871285, Time  0.379309
2021-09-11 17:49:17.734346 : Epoch  6, Batch   1103, Loss  0.848255, Average Loss  0.871133, Time  0.423321
2021-09-11 17:49:20.827773 : Epoch  6, Batch   1104, Loss  0.884350, Average Loss  0.871181, Time  0.238731
2021-09-11 17:49:25.620563 : Epoch  6, Batch   1105, Loss  0.865601, Average Loss  0.871204, Time  0.268164
2021-09-11 17:49:32.658666 : Epoch  6, Batch   1106, Loss  0.886544, Average Loss  0.871232, Time  0.328318
2021-09-11 17:49:38.479503 : Epoch  6, Batch   1107, Loss  0.876663, Average Loss  0.871202, Time  0.344571
2021-09-11 17:49:44.391895 : Epoch  6, Batch   1108, Loss  0.881639, Average Loss  0.871270, Time  0.404578
2021-09-11 17:49:49.145844 : Epoch  6, Batch   1109, Loss  0.873009, Average Loss  0.871307, Time  0.266604
2021-09-11 17:49:53.046995 : Epoch  6, Batch   1110, Loss  0.874882, Average Loss  0.871382, Time  0.453829
2021-09-11 17:50:00.354179 : Epoch  6, Batch   1111, Loss  0.864331, Average Loss  0.871303, Time  0.349102
2021-09-11 17:50:04.431925 : Epoch  6, Batch   1112, Loss  0.863220, Average Loss  0.871129, Time  0.426229
2021-09-11 17:50:11.030185 : Epoch  6, Batch   1113, Loss  0.879475, Average Loss  0.871162, Time  0.299698
2021-09-11 17:50:14.857098 : Epoch  6, Batch   1114, Loss  0.871374, Average Loss  0.871096, Time  0.293487
2021-09-11 17:50:18.017772 : Epoch  6, Batch   1115, Loss  0.871539, Average Loss  0.871097, Time  0.253069
2021-09-11 17:50:24.254780 : Epoch  6, Batch   1116, Loss  0.870114, Average Loss  0.871144, Time  0.350745
2021-09-11 17:50:28.599151 : Epoch  6, Batch   1117, Loss  0.868197, Average Loss  0.871124, Time  0.255639
2021-09-11 17:50:35.072692 : Epoch  6, Batch   1118, Loss  0.860104, Average Loss  0.871053, Time  0.337096
2021-09-11 17:50:40.929777 : Epoch  6, Batch   1119, Loss  0.877950, Average Loss  0.871123, Time  0.295715
2021-09-11 17:50:44.569221 : Epoch  6, Batch   1120, Loss  0.883258, Average Loss  0.871184, Time  0.295084
2021-09-11 17:52:49.368043 : CheckPoint: Validation Loss  0.00060828, Best Loss  0.00057296
2021-09-11 17:52:50.976926 : Epoch  6, Batch   2346, Loss  0.854136, Average Loss  0.868782, Time  0.177517
2021-09-11 17:52:52.577836 : Epoch  6, Batch   2347, Loss  0.875335, Average Loss  0.868770, Time  0.170364
2021-09-11 17:52:54.188799 : Epoch  6, Batch   2348, Loss  0.858968, Average Loss  0.868889, Time  0.169881
2021-09-11 17:52:55.810987 : Epoch  6, Batch   2349, Loss  0.875649, Average Loss  0.868798, Time  0.169679
2021-09-11 17:52:57.420739 : Epoch  6, Batch   2350, Loss  0.850033, Average Loss  0.868622, Time  0.169762
2021-09-11 17:52:59.037005 : Epoch  6, Batch   2351, Loss  0.858693, Average Loss  0.868686, Time  0.170298
2021-09-11 17:53:00.637747 : Epoch  6, Batch   2352, Loss  0.848256, Average Loss  0.868597, Time  0.169691
2021-09-11 17:53:02.241867 : Epoch  6, Batch   2353, Loss  0.869537, Average Loss  0.868541, Time  0.169834
2021-09-11 17:53:03.838999 : Epoch  6, Batch   2354, Loss  0.888826, Average Loss  0.868565, Time  0.169626
2021-09-11 17:53:05.451992 : Epoch  6, Batch   2355, Loss  0.862276, Average Loss  0.868598, Time  0.169548
2021-09-11 17:53:07.059768 : Epoch  6, Batch   2356, Loss  0.864096, Average Loss  0.868504, Time  0.170098
2021-09-11 17:53:08.673894 : Epoch  6, Batch   2357, Loss  0.859207, Average Loss  0.868598, Time  0.169695
2021-09-11 17:53:10.274001 : Epoch  6, Batch   2358, Loss  0.817214, Average Loss  0.868337, Time  0.169922
2021-09-11 17:53:11.878748 : Epoch  6, Batch   2359, Loss  0.857048, Average Loss  0.868398, Time  0.169649
2021-09-11 17:53:13.483762 : Epoch  6, Batch   2360, Loss  0.845061, Average Loss  0.868201, Time  0.169971
2021-09-11 17:53:15.088787 : Epoch  6, Batch   2361, Loss  0.892207, Average Loss  0.868326, Time  0.169797
2021-09-11 17:53:16.689809 : Epoch  6, Batch   2362, Loss  0.843682, Average Loss  0.868159, Time  0.171981
2021-09-11 17:53:18.294764 : Epoch  6, Batch   2363, Loss  0.849401, Average Loss  0.868120, Time  0.169474
2021-09-11 17:53:19.904800 : Epoch  6, Batch   2364, Loss  0.863577, Average Loss  0.868056, Time  0.169892
2021-09-11 17:53:21.503989 : Epoch  6, Batch   2365, Loss  0.864181, Average Loss  0.867921, Time  0.169683
2021-09-11 17:53:23.118999 : Epoch  6, Batch   2366, Loss  0.883251, Average Loss  0.867940, Time  0.169943
2021-09-11 17:53:24.741818 : Epoch  6, Batch   2367, Loss  0.857999, Average Loss  0.867936, Time  0.172451
2021-09-11 17:53:26.344994 : Epoch  6, Batch   2368, Loss  0.866727, Average Loss  0.867978, Time  0.169527
2021-09-11 17:53:27.950811 : Epoch  6, Batch   2369, Loss  0.891028, Average Loss  0.867949, Time  0.172209
2021-09-11 17:53:29.559774 : Epoch  6, Batch   2370, Loss  0.844266, Average Loss  0.867846, Time  0.173895
2021-09-11 17:53:31.156748 : Epoch  6, Batch   2371, Loss  0.863973, Average Loss  0.867864, Time  0.173598
2021-09-11 17:53:32.763028 : Epoch  6, Batch   2372, Loss  0.871211, Average Loss  0.867886, Time  0.170864
2021-09-11 17:53:34.365030 : Epoch  6, Batch   2373, Loss  0.861803, Average Loss  0.867554, Time  0.174539
2021-09-11 17:53:35.992792 : Epoch  6, Batch   2374, Loss  0.892865, Average Loss  0.867548, Time  0.173952
2021-09-11 17:53:37.606842 : Epoch  6, Batch   2375, Loss  0.882113, Average Loss  0.867599, Time  0.170008
2021-09-11 17:53:39.218035 : Epoch  6, Batch   2376, Loss  0.848770, Average Loss  0.867459, Time  0.176745
2021-09-11 17:53:40.804843 : Epoch  6, Batch   2377, Loss  0.877864, Average Loss  0.867448, Time  0.172609
2021-09-11 17:53:42.401744 : Epoch  6, Batch   2378, Loss  0.862644, Average Loss  0.867280, Time  0.170750
2021-09-11 17:53:44.009027 : Epoch  6, Batch   2379, Loss  0.841059, Average Loss  0.867143, Time  0.171403
2021-09-11 17:53:45.614779 : Epoch  6, Batch   2380, Loss  0.869034, Average Loss  0.867202, Time  0.172065
2021-09-11 17:53:47.209837 : Epoch  6, Batch   2381, Loss  0.838079, Average Loss  0.867016, Time  0.170269
2021-09-11 17:53:48.807997 : Epoch  6, Batch   2382, Loss  0.850186, Average Loss  0.866938, Time  0.169649
2021-09-11 17:53:50.430349 : Epoch  6, Batch   2383, Loss  0.853094, Average Loss  0.866869, Time  0.170183
2021-09-11 17:53:52.042800 : Epoch  6, Batch   2384, Loss  0.887292, Average Loss  0.866954, Time  0.169991
2021-09-11 17:53:53.647016 : Epoch  6, Batch   2385, Loss  0.884116, Average Loss  0.866980, Time  0.169692
2021-09-11 17:53:55.251823 : Epoch  6, Batch   2386, Loss  0.861700, Average Loss  0.866762, Time  0.169633
2021-09-11 17:53:56.861816 : Epoch  6, Batch   2387, Loss  0.843419, Average Loss  0.866695, Time  0.169774
2021-09-11 17:53:58.465000 : Epoch  6, Batch   2388, Loss  0.874598, Average Loss  0.866747, Time  0.169659
2021-09-11 17:54:00.075792 : Epoch  6, Batch   2389, Loss  0.857374, Average Loss  0.866647, Time  0.169780
2021-09-11 17:54:01.679984 : Epoch  6, Batch   2390, Loss  0.852637, Average Loss  0.866651, Time  0.169764
2021-09-11 17:54:03.287823 : Epoch  6, Batch   2391, Loss  0.884378, Average Loss  0.866653, Time  0.169975
2021-09-11 17:54:04.901875 : Epoch  6, Batch   2392, Loss  0.894790, Average Loss  0.866734, Time  0.171935
2021-09-11 17:54:06.510851 : Epoch  6, Batch   2393, Loss  0.830226, Average Loss  0.866473, Time  0.169832
2021-09-11 17:54:08.110775 : Epoch  6, Batch   2394, Loss  0.869680, Average Loss  0.866494, Time  0.169714
2021-09-11 17:54:09.721820 : Epoch  6, Batch   2395, Loss  0.855219, Average Loss  0.866345, Time  0.171802
2021-09-11 17:54:11.327765 : Epoch  6, Batch   2396, Loss  0.842588, Average Loss  0.866127, Time  0.169656
2021-09-11 17:54:12.933798 : Epoch  6, Batch   2397, Loss  0.874831, Average Loss  0.866264, Time  0.169437
2021-09-11 17:54:14.543767 : Epoch  6, Batch   2398, Loss  0.873832, Average Loss  0.866420, Time  0.169828
2021-09-11 17:54:16.141942 : Epoch  6, Batch   2399, Loss  0.897592, Average Loss  0.866571, Time  0.170012
2021-09-11 17:54:17.751877 : Epoch  6, Batch   2400, Loss  0.877296, Average Loss  0.866618, Time  0.169983
2021-09-11 17:54:19.364004 : Epoch  6, Batch   2401, Loss  0.894368, Average Loss  0.866812, Time  0.169758
2021-09-11 17:54:20.972976 : Epoch  6, Batch   2402, Loss  0.873003, Average Loss  0.866895, Time  0.171768
2021-09-11 17:54:22.595997 : Epoch  6, Batch   2403, Loss  0.884457, Average Loss  0.866974, Time  0.169823
2021-09-11 17:54:24.212784 : Epoch  6, Batch   2404, Loss  0.890257, Average Loss  0.867215, Time  0.169849
2021-09-11 17:54:25.811983 : Epoch  6, Batch   2405, Loss  0.886565, Average Loss  0.867244, Time  0.169528
2021-09-11 17:54:27.411853 : Epoch  6, Batch   2406, Loss  0.830678, Average Loss  0.867011, Time  0.169793
2021-09-11 17:54:29.020999 : Epoch  6, Batch   2407, Loss  0.883749, Average Loss  0.867166, Time  0.169690
2021-09-11 17:54:30.626778 : Epoch  6, Batch   2408, Loss  0.871605, Average Loss  0.867022, Time  0.169420
2021-09-11 17:54:32.230999 : Epoch  6, Batch   2409, Loss  0.888814, Average Loss  0.867246, Time  0.169906
2021-09-11 17:54:33.834846 : Epoch  6, Batch   2410, Loss  0.910060, Average Loss  0.867458, Time  0.169799
2021-09-11 17:54:35.434986 : Epoch  6, Batch   2411, Loss  0.855184, Average Loss  0.867442, Time  0.169788
2021-09-11 17:54:37.047984 : Epoch  6, Batch   2412, Loss  0.861953, Average Loss  0.867490, Time  0.172129
2021-09-11 17:54:38.634888 : Epoch  6, Batch   2413, Loss  0.846595, Average Loss  0.867194, Time  0.169580
2021-09-11 17:54:40.248033 : Epoch  6, Batch   2414, Loss  0.865814, Average Loss  0.867181, Time  0.174387
2021-09-11 17:54:41.857819 : Epoch  6, Batch   2415, Loss  0.859213, Average Loss  0.867096, Time  0.171502
2021-09-11 17:54:43.465036 : Epoch  6, Batch   2416, Loss  0.857420, Average Loss  0.867132, Time  0.174150
2021-09-11 17:54:45.069987 : Epoch  6, Batch   2417, Loss  0.855114, Average Loss  0.867002, Time  0.169785
2021-09-11 17:54:46.670996 : Epoch  6, Batch   2418, Loss  0.859530, Average Loss  0.866926, Time  0.171821
2021-09-11 17:54:48.264772 : Epoch  6, Batch   2419, Loss  0.838726, Average Loss  0.866610, Time  0.169833
2021-09-11 17:54:49.871909 : Epoch  6, Batch   2420, Loss  0.866326, Average Loss  0.866578, Time  0.170209
2021-09-11 17:54:51.511990 : Epoch  6, Batch   2421, Loss  0.894855, Average Loss  0.866642, Time  0.169594
2021-09-11 17:54:53.117760 : Epoch  6, Batch   2422, Loss  0.894094, Average Loss  0.866730, Time  0.169648
2021-09-11 17:54:54.721001 : Epoch  6, Batch   2423, Loss  0.884270, Average Loss  0.866904, Time  0.169954
2021-09-11 17:54:56.314892 : Epoch  6, Batch   2424, Loss  0.864251, Average Loss  0.866792, Time  0.169680
2021-09-11 17:54:57.924018 : Epoch  6, Batch   2425, Loss  0.863725, Average Loss  0.866723, Time  0.169984
2021-09-11 17:54:59.523830 : Epoch  6, Batch   2426, Loss  0.879642, Average Loss  0.866807, Time  0.169834
2021-09-11 17:55:01.107613 : Epoch  6, Batch   2427, Loss  0.893044, Average Loss  0.866900, Time  0.172714
2021-09-11 17:55:02.716906 : Epoch  6, Batch   2428, Loss  0.850801, Average Loss  0.866796, Time  0.169784
2021-09-11 17:55:04.308823 : Epoch  6, Batch   2429, Loss  0.884308, Average Loss  0.866854, Time  0.169612
2021-09-11 17:55:05.912997 : Epoch  6, Batch   2430, Loss  0.854656, Average Loss  0.866789, Time  0.169904
2021-09-11 17:55:07.511005 : Epoch  6, Batch   2431, Loss  0.856608, Average Loss  0.866734, Time  0.169751
2021-09-11 17:55:09.113840 : Epoch  6, Batch   2432, Loss  0.834430, Average Loss  0.866625, Time  0.169538
2021-09-11 17:55:10.719764 : Epoch  6, Batch   2433, Loss  0.861592, Average Loss  0.866598, Time  0.171937
2021-09-11 17:55:12.332763 : Epoch  6, Batch   2434, Loss  0.859941, Average Loss  0.866406, Time  0.169694
2021-09-11 17:55:13.935924 : Epoch  6, Batch   2435, Loss  0.859049, Average Loss  0.866320, Time  0.169888
2021-09-11 17:55:15.529992 : Epoch  6, Batch   2436, Loss  0.854567, Average Loss  0.866284, Time  0.169577
2021-09-11 17:55:17.130774 : Epoch  6, Batch   2437, Loss  0.864140, Average Loss  0.866397, Time  0.169710
2021-09-11 17:55:18.731850 : Epoch  6, Batch   2438, Loss  0.872396, Average Loss  0.866409, Time  0.169643
2021-09-11 17:55:20.343952 : Epoch  6, Batch   2439, Loss  0.891137, Average Loss  0.866602, Time  0.169759
2021-09-11 17:55:21.934832 : Epoch  6, Batch   2440, Loss  0.875184, Average Loss  0.866526, Time  0.173584
2021-09-11 17:55:23.557034 : Epoch  6, Batch   2441, Loss  0.869284, Average Loss  0.866510, Time  0.172177
2021-09-11 17:55:25.150763 : Epoch  6, Batch   2442, Loss  0.871664, Average Loss  0.866561, Time  0.171652
2021-09-11 17:55:26.785750 : Epoch  6, Batch   2443, Loss  0.894494, Average Loss  0.866774, Time  0.188198
2021-09-11 17:55:28.405774 : Epoch  6, Batch   2444, Loss  0.867698, Average Loss  0.866689, Time  0.177289
2021-09-11 17:55:35.476770 : Epoch  6, Batch   2445, Loss  0.819677, Average Loss  0.866536, Time  0.177499
2021-09-11 17:59:46.840051 : CheckPoint: Validation Loss  0.00030109, Best Loss  0.00029019
2021-09-11 17:59:51.636739 : Epoch  6, Batch   1121, Loss  0.865421, Average Loss  0.871087, Time  0.278225
2021-09-11 17:59:58.695803 : Epoch  6, Batch   1122, Loss  0.869764, Average Loss  0.871169, Time  0.302250
2021-09-11 18:00:04.881190 : Epoch  6, Batch   1123, Loss  0.872728, Average Loss  0.871181, Time  0.282841
2021-09-11 18:00:10.446002 : Epoch  6, Batch   1124, Loss  0.869365, Average Loss  0.871193, Time  0.267932
2021-09-11 18:00:15.879106 : Epoch  6, Batch   1125, Loss  0.863508, Average Loss  0.871222, Time  0.239928
2021-09-11 18:00:16.042732 : CheckPoint: Validation Loss  0.00060134, Best Loss  0.00057296
2021-09-11 18:00:17.671949 : Epoch  6, Batch   2446, Loss  0.872299, Average Loss  0.866481, Time  0.180449
2021-09-11 18:00:19.284996 : Epoch  6, Batch   2447, Loss  0.839775, Average Loss  0.866316, Time  0.170657
2021-09-11 18:00:19.617708 : Epoch  6, Batch   1126, Loss  0.875669, Average Loss  0.871244, Time  0.263294
2021-09-11 18:00:20.878999 : Epoch  6, Batch   2448, Loss  0.861353, Average Loss  0.866167, Time  0.169963
2021-09-11 18:00:22.490026 : Epoch  6, Batch   2449, Loss  0.867130, Average Loss  0.866235, Time  0.178032
2021-09-11 18:00:24.077789 : Epoch  6, Batch   1127, Loss  0.867029, Average Loss  0.871140, Time  0.319694
2021-09-11 18:00:24.095774 : Epoch  6, Batch   2450, Loss  0.866088, Average Loss  0.866165, Time  0.173155
2021-09-11 18:00:25.731028 : Epoch  6, Batch   2451, Loss  0.852596, Average Loss  0.866119, Time  0.187166
2021-09-11 18:00:27.353014 : Epoch  6, Batch   2452, Loss  0.874310, Average Loss  0.866315, Time  0.174878
2021-09-11 18:00:28.979031 : Epoch  6, Batch   2453, Loss  0.892382, Average Loss  0.866564, Time  0.169982
2021-09-11 18:00:29.859066 : Epoch  6, Batch   1128, Loss  0.873443, Average Loss  0.871228, Time  0.503786
2021-09-11 18:00:30.577014 : Epoch  6, Batch   2454, Loss  0.886716, Average Loss  0.866768, Time  0.169978
2021-09-11 18:00:32.185034 : Epoch  6, Batch   2455, Loss  0.829263, Average Loss  0.866507, Time  0.171083
2021-09-11 18:00:33.798794 : Epoch  6, Batch   2456, Loss  0.866052, Average Loss  0.866470, Time  0.170409
2021-09-11 18:00:35.414056 : Epoch  6, Batch   2457, Loss  0.887025, Average Loss  0.866534, Time  0.171576
2021-09-11 18:00:35.922734 : Epoch  6, Batch   1129, Loss  0.866946, Average Loss  0.871346, Time  0.261980
2021-09-11 18:00:37.035871 : Epoch  6, Batch   2458, Loss  0.849029, Average Loss  0.866376, Time  0.181309
2021-09-11 18:00:38.644094 : Epoch  6, Batch   2459, Loss  0.861902, Average Loss  0.866497, Time  0.173505
2021-09-11 18:00:40.268047 : Epoch  6, Batch   2460, Loss  0.874414, Average Loss  0.866504, Time  0.170358
2021-09-11 18:00:40.691771 : Epoch  6, Batch   1130, Loss  0.848811, Average Loss  0.871281, Time  0.303313
2021-09-11 18:00:41.876842 : Epoch  6, Batch   2461, Loss  0.875754, Average Loss  0.866463, Time  0.170417
2021-09-11 18:00:43.500817 : Epoch  6, Batch   2462, Loss  0.883303, Average Loss  0.866622, Time  0.171170
2021-09-11 18:00:45.117779 : Epoch  6, Batch   2463, Loss  0.874072, Average Loss  0.866607, Time  0.176870
2021-09-11 18:00:46.711945 : Epoch  6, Batch   2464, Loss  0.858754, Average Loss  0.866612, Time  0.171120
2021-09-11 18:00:48.299028 : Epoch  6, Batch   2465, Loss  0.859185, Average Loss  0.866597, Time  0.170168
2021-09-11 18:00:49.882037 : Epoch  6, Batch   2466, Loss  0.878705, Average Loss  0.866607, Time  0.171921
2021-09-11 18:00:50.291221 : Epoch  6, Batch   1131, Loss  0.854043, Average Loss  0.871077, Time  0.470806
2021-09-11 18:00:51.477904 : Epoch  6, Batch   2467, Loss  0.863215, Average Loss  0.866613, Time  0.170118
2021-09-11 18:00:53.098023 : Epoch  6, Batch   2468, Loss  0.874244, Average Loss  0.866615, Time  0.173523
2021-09-11 18:00:54.691031 : Epoch  6, Batch   2469, Loss  0.852253, Average Loss  0.866631, Time  0.169702
2021-09-11 18:00:55.163182 : Epoch  6, Batch   1132, Loss  0.851234, Average Loss  0.871046, Time  0.285970
2021-09-11 18:00:56.297995 : Epoch  6, Batch   2470, Loss  0.872373, Average Loss  0.866650, Time  0.170013
2021-09-11 18:00:57.909746 : Epoch  6, Batch   2471, Loss  0.873200, Average Loss  0.866662, Time  0.169720
2021-09-11 18:00:59.510797 : Epoch  6, Batch   2472, Loss  0.881708, Average Loss  0.866692, Time  0.169722
2021-09-11 18:01:01.047556 : Epoch  6, Batch   1133, Loss  0.861324, Average Loss  0.870956, Time  0.239975
2021-09-11 18:01:01.118990 : Epoch  6, Batch   2473, Loss  0.887875, Average Loss  0.866678, Time  0.173010
2021-09-11 18:01:02.736978 : Epoch  6, Batch   2474, Loss  0.873931, Average Loss  0.866508, Time  0.169885
2021-09-11 18:01:04.345748 : Epoch  6, Batch   2475, Loss  0.866528, Average Loss  0.866622, Time  0.170253
2021-09-11 18:01:05.950993 : Epoch  6, Batch   2476, Loss  0.894298, Average Loss  0.866747, Time  0.169616
2021-09-11 18:01:06.102825 : Epoch  6, Batch   1134, Loss  0.868648, Average Loss  0.870918, Time  0.286795
2021-09-11 18:01:07.551740 : Epoch  6, Batch   2477, Loss  0.905302, Average Loss  0.866988, Time  0.172089
2021-09-11 18:01:09.154004 : Epoch  6, Batch   2478, Loss  0.864143, Average Loss  0.866765, Time  0.169687
2021-09-11 18:01:10.757993 : Epoch  6, Batch   2479, Loss  0.857731, Average Loss  0.866692, Time  0.169493
2021-09-11 18:01:12.355012 : Epoch  6, Batch   2480, Loss  0.871156, Average Loss  0.866771, Time  0.169855
2021-09-11 18:01:13.957983 : Epoch  6, Batch   2481, Loss  0.860715, Average Loss  0.866682, Time  0.172419
2021-09-11 18:01:14.600803 : Epoch  6, Batch   1135, Loss  0.856318, Average Loss  0.870873, Time  0.464986
2021-09-11 18:01:15.572979 : Epoch  6, Batch   2482, Loss  0.855202, Average Loss  0.866719, Time  0.169799
2021-09-11 18:01:17.202093 : Epoch  6, Batch   2483, Loss  0.839010, Average Loss  0.866435, Time  0.170707
2021-09-11 18:01:18.812945 : Epoch  6, Batch   2484, Loss  0.849589, Average Loss  0.866309, Time  0.170107
2021-09-11 18:01:20.441855 : Epoch  6, Batch   2485, Loss  0.839297, Average Loss  0.866183, Time  0.169974
2021-09-11 18:01:21.372335 : Epoch  6, Batch   1136, Loss  0.866931, Average Loss  0.870876, Time  0.322701
2021-09-11 18:01:22.064994 : Epoch  6, Batch   2486, Loss  0.838203, Average Loss  0.866118, Time  0.169455
2021-09-11 18:01:23.666818 : Epoch  6, Batch   2487, Loss  0.879510, Average Loss  0.866246, Time  0.169481
2021-09-11 18:01:25.280997 : Epoch  6, Batch   2488, Loss  0.853702, Average Loss  0.866105, Time  0.170031
2021-09-11 18:01:25.471994 : Epoch  6, Batch   1137, Loss  0.862140, Average Loss  0.870929, Time  0.258439
2021-09-11 18:01:26.874759 : Epoch  6, Batch   2489, Loss  0.871210, Average Loss  0.866212, Time  0.169505
2021-09-11 18:01:28.492992 : Epoch  6, Batch   2490, Loss  0.892903, Average Loss  0.866278, Time  0.169767
2021-09-11 18:01:30.092742 : Epoch  6, Batch   2491, Loss  0.860317, Average Loss  0.866241, Time  0.169821
2021-09-11 18:01:31.711000 : Epoch  6, Batch   2492, Loss  0.885219, Average Loss  0.866333, Time  0.169771
2021-09-11 18:01:31.929329 : Epoch  6, Batch   1138, Loss  0.889033, Average Loss  0.871128, Time  0.337974
2021-09-11 18:01:33.315028 : Epoch  6, Batch   2493, Loss  0.871259, Average Loss  0.866482, Time  0.170323
2021-09-11 18:01:34.933983 : Epoch  6, Batch   2494, Loss  0.875924, Average Loss  0.866526, Time  0.169673
2021-09-11 18:01:35.456733 : Epoch  6, Batch   1139, Loss  0.897508, Average Loss  0.871262, Time  0.361846
2021-09-11 18:01:36.532923 : Epoch  6, Batch   2495, Loss  0.890038, Average Loss  0.866588, Time  0.169753
2021-09-11 18:01:38.138982 : Epoch  6, Batch   2496, Loss  0.860179, Average Loss  0.866469, Time  0.169619
2021-09-11 18:01:39.766859 : Epoch  6, Batch   2497, Loss  0.842999, Average Loss  0.866518, Time  0.170180
2021-09-11 18:01:40.653760 : Epoch  6, Batch   1140, Loss  0.876162, Average Loss  0.871282, Time  0.280573
2021-09-11 18:01:41.369035 : Epoch  6, Batch   2498, Loss  0.861673, Average Loss  0.866631, Time  0.170018
2021-09-11 18:01:42.988013 : Epoch  6, Batch   2499, Loss  0.866918, Average Loss  0.866672, Time  0.169960
2021-09-11 18:01:44.598995 : Epoch  6, Batch   2500, Loss  0.863573, Average Loss  0.866562, Time  0.169739
2021-09-11 18:01:46.212004 : Epoch  6, Batch   2501, Loss  0.907213, Average Loss  0.866765, Time  0.169658
2021-09-11 18:01:46.900580 : Epoch  6, Batch   1141, Loss  0.868623, Average Loss  0.871251, Time  0.337299
2021-09-11 18:01:47.818003 : Epoch  6, Batch   2502, Loss  0.860611, Average Loss  0.866899, Time  0.169625
2021-09-11 18:01:49.420792 : Epoch  6, Batch   2503, Loss  0.840677, Average Loss  0.866685, Time  0.169815
2021-09-11 18:01:51.024998 : Epoch  6, Batch   2504, Loss  0.856355, Average Loss  0.866703, Time  0.170402
2021-09-11 18:01:52.624995 : Epoch  6, Batch   2505, Loss  0.871452, Average Loss  0.866650, Time  0.170881
2021-09-11 18:01:52.654371 : Epoch  6, Batch   1142, Loss  0.863744, Average Loss  0.871260, Time  0.393515
2021-09-11 18:01:54.233001 : Epoch  6, Batch   2506, Loss  0.841049, Average Loss  0.866573, Time  0.169483
2021-09-11 18:01:55.839994 : Epoch  6, Batch   2507, Loss  0.870946, Average Loss  0.866731, Time  0.169623
2021-09-11 18:01:56.083288 : Epoch  6, Batch   1143, Loss  0.864500, Average Loss  0.871179, Time  0.262051
2021-09-11 18:01:57.451999 : Epoch  6, Batch   2508, Loss  0.851713, Average Loss  0.866624, Time  0.169931
2021-09-11 18:01:59.054991 : Epoch  6, Batch   2509, Loss  0.868632, Average Loss  0.866718, Time  0.171715
2021-09-11 18:02:00.662796 : Epoch  6, Batch   2510, Loss  0.875849, Average Loss  0.866775, Time  0.169837
2021-09-11 18:02:02.267791 : Epoch  6, Batch   2511, Loss  0.860975, Average Loss  0.866795, Time  0.169579
2021-09-11 18:02:02.797278 : Epoch  6, Batch   1144, Loss  0.870573, Average Loss  0.871168, Time  0.429209
2021-09-11 18:02:03.875826 : Epoch  6, Batch   2512, Loss  0.898244, Average Loss  0.867007, Time  0.169802
2021-09-11 18:02:05.484756 : Epoch  6, Batch   2513, Loss  0.883847, Average Loss  0.867024, Time  0.169849
2021-09-11 18:02:07.091999 : Epoch  6, Batch   2514, Loss  0.859647, Average Loss  0.866924, Time  0.169526
2021-09-11 18:02:07.635592 : Epoch  6, Batch   1145, Loss  0.861335, Average Loss  0.871142, Time  0.271144
2021-09-11 18:02:08.700775 : Epoch  6, Batch   2515, Loss  0.886738, Average Loss  0.866873, Time  0.170846
2021-09-11 18:02:10.302976 : Epoch  6, Batch   2516, Loss  0.878013, Average Loss  0.866996, Time  0.169658
2021-09-11 18:02:11.928003 : Epoch  6, Batch   2517, Loss  0.874351, Average Loss  0.867000, Time  0.169608
2021-09-11 18:02:13.556746 : Epoch  6, Batch   2518, Loss  0.886746, Average Loss  0.867074, Time  0.169859
2021-09-11 18:02:13.801028 : Epoch  6, Batch   1146, Loss  0.868539, Average Loss  0.871140, Time  0.329435
2021-09-11 18:02:15.162829 : Epoch  6, Batch   2519, Loss  0.867566, Average Loss  0.867062, Time  0.169581
2021-09-11 18:02:16.758997 : Epoch  6, Batch   2520, Loss  0.879255, Average Loss  0.867105, Time  0.169651
2021-09-11 18:02:18.011969 : Epoch  6, Batch   1147, Loss  0.852281, Average Loss  0.871020, Time  0.263614
2021-09-11 18:02:18.392058 : Epoch  6, Batch   2521, Loss  0.881740, Average Loss  0.867089, Time  0.169981
2021-09-11 18:02:20.006004 : Epoch  6, Batch   2522, Loss  0.901815, Average Loss  0.867258, Time  0.169495
2021-09-11 18:02:21.478582 : Epoch  6, Batch   1148, Loss  0.866085, Average Loss  0.871059, Time  0.264866
2021-09-11 18:02:21.609743 : Epoch  6, Batch   2523, Loss  0.902322, Average Loss  0.867349, Time  0.169552
2021-09-11 18:02:23.227004 : Epoch  6, Batch   2524, Loss  0.893557, Average Loss  0.867513, Time  0.169874
2021-09-11 18:02:24.869994 : Epoch  6, Batch   2525, Loss  0.897774, Average Loss  0.867522, Time  0.169756
2021-09-11 18:02:26.494999 : Epoch  6, Batch   2526, Loss  0.877235, Average Loss  0.867559, Time  0.170100
2021-09-11 18:02:27.645008 : Epoch  6, Batch   1149, Loss  0.853234, Average Loss  0.870860, Time  0.249660
2021-09-11 18:02:28.108797 : Epoch  6, Batch   2527, Loss  0.878877, Average Loss  0.867581, Time  0.169487
2021-09-11 18:02:29.714796 : Epoch  6, Batch   2528, Loss  0.847127, Average Loss  0.867439, Time  0.169770
2021-09-11 18:02:31.331897 : Epoch  6, Batch   2529, Loss  0.878119, Average Loss  0.867520, Time  0.169971
2021-09-11 18:02:32.951996 : Epoch  6, Batch   2530, Loss  0.879740, Average Loss  0.867633, Time  0.169918
2021-09-11 18:02:33.394243 : Epoch  6, Batch   1150, Loss  0.861389, Average Loss  0.870763, Time  0.323970
2021-09-11 18:02:34.567997 : Epoch  6, Batch   2531, Loss  0.870450, Average Loss  0.867692, Time  0.172143
2021-09-11 18:02:36.181989 : Epoch  6, Batch   2532, Loss  0.915122, Average Loss  0.867962, Time  0.169625
2021-09-11 18:02:36.658055 : Epoch  6, Batch   1151, Loss  0.879595, Average Loss  0.870723, Time  0.298801
2021-09-11 18:02:37.779856 : Epoch  6, Batch   2533, Loss  0.860841, Average Loss  0.868033, Time  0.171457
2021-09-11 18:02:39.393981 : Epoch  6, Batch   2534, Loss  0.873873, Average Loss  0.868124, Time  0.169579
2021-09-11 18:02:41.006733 : Epoch  6, Batch   2535, Loss  0.857458, Average Loss  0.868130, Time  0.169558
2021-09-11 18:02:42.618981 : Epoch  6, Batch   2536, Loss  0.891098, Average Loss  0.868253, Time  0.170004
2021-09-11 18:02:44.231999 : Epoch  6, Batch   2537, Loss  0.907420, Average Loss  0.868493, Time  0.169623
2021-09-11 18:02:45.005617 : Epoch  6, Batch   1152, Loss  0.873945, Average Loss  0.870786, Time  0.264062
2021-09-11 18:02:45.892052 : Epoch  6, Batch   2538, Loss  0.876980, Average Loss  0.868494, Time  0.170279
2021-09-11 18:02:47.506014 : Epoch  6, Batch   2539, Loss  0.853509, Average Loss  0.868388, Time  0.169719
2021-09-11 18:02:49.114798 : Epoch  6, Batch   2540, Loss  0.855359, Average Loss  0.868273, Time  0.169703
2021-09-11 18:02:50.720995 : Epoch  6, Batch   2541, Loss  0.857394, Average Loss  0.868171, Time  0.169710
2021-09-11 18:02:50.883775 : Epoch  6, Batch   1153, Loss  0.867553, Average Loss  0.870813, Time  0.254824
2021-09-11 18:02:52.338983 : Epoch  6, Batch   2542, Loss  0.855596, Average Loss  0.868189, Time  0.169692
2021-09-11 18:02:53.952004 : Epoch  6, Batch   2543, Loss  0.875474, Average Loss  0.868311, Time  0.169917
2021-09-11 18:02:55.567998 : Epoch  6, Batch   2544, Loss  0.874048, Average Loss  0.868323, Time  0.169946
2021-09-11 18:02:57.181912 : Epoch  6, Batch   2545, Loss  0.897406, Average Loss  0.868478, Time  0.170201
2021-09-11 18:02:57.611362 : Epoch  6, Batch   1154, Loss  0.892613, Average Loss  0.870981, Time  0.418359
2021-09-11 18:03:04.043971 : Epoch  6, Batch   1155, Loss  0.863103, Average Loss  0.870971, Time  0.332667
2021-09-11 18:03:10.023068 : Epoch  6, Batch   1156, Loss  0.877048, Average Loss  0.871036, Time  0.274668
2021-09-11 18:03:17.616823 : Epoch  6, Batch   1157, Loss  0.875826, Average Loss  0.870991, Time  0.239596
2021-09-11 18:03:22.827355 : Epoch  6, Batch   1158, Loss  0.858226, Average Loss  0.871003, Time  0.256759
2021-09-11 18:03:29.005364 : Epoch  6, Batch   1159, Loss  0.857623, Average Loss  0.870926, Time  0.326709
2021-09-11 18:03:34.521217 : Epoch  6, Batch   1160, Loss  0.842212, Average Loss  0.870788, Time  0.421776
2021-09-11 18:03:41.635899 : Epoch  6, Batch   1161, Loss  0.863790, Average Loss  0.870701, Time  0.314845
2021-09-11 18:03:47.624483 : Epoch  6, Batch   1162, Loss  0.843263, Average Loss  0.870507, Time  0.356728
2021-09-11 18:03:55.325909 : Epoch  6, Batch   1163, Loss  0.878111, Average Loss  0.870582, Time  0.344651
2021-09-11 18:04:03.465860 : Epoch  6, Batch   1164, Loss  0.855670, Average Loss  0.870462, Time  0.268143
2021-09-11 18:04:08.426056 : Epoch  6, Batch   1165, Loss  0.882830, Average Loss  0.870591, Time  0.281870
2021-09-11 18:04:13.782643 : Epoch  6, Batch   1166, Loss  0.870820, Average Loss  0.870556, Time  0.260007
2021-09-11 18:04:19.181752 : Epoch  6, Batch   1167, Loss  0.868239, Average Loss  0.870604, Time  0.316862
2021-09-11 18:04:23.763063 : Epoch  6, Batch   1168, Loss  0.885163, Average Loss  0.870722, Time  0.252630
2021-09-11 18:04:30.177709 : Epoch  6, Batch   1169, Loss  0.857304, Average Loss  0.870683, Time  0.311095
2021-09-11 18:04:33.350087 : Epoch  6, Batch   1170, Loss  0.870569, Average Loss  0.870676, Time  0.300844
2021-09-11 18:04:39.230400 : Epoch  6, Batch   1171, Loss  0.876790, Average Loss  0.870700, Time  0.254412
2021-09-11 18:04:45.906298 : Epoch  6, Batch   1172, Loss  0.870464, Average Loss  0.870699, Time  0.334363
2021-09-11 18:04:51.675784 : Epoch  6, Batch   1173, Loss  0.876043, Average Loss  0.870822, Time  0.334593
2021-09-11 18:04:58.072021 : Epoch  6, Batch   1174, Loss  0.866726, Average Loss  0.870723, Time  0.313591
2021-09-11 18:05:04.059163 : Epoch  6, Batch   1175, Loss  0.880535, Average Loss  0.870655, Time  0.282099
2021-09-11 18:05:10.340535 : Epoch  6, Batch   1176, Loss  0.864708, Average Loss  0.870557, Time  0.270158
2021-09-11 18:05:15.402113 : Epoch  6, Batch   1177, Loss  0.880981, Average Loss  0.870607, Time  0.269869
2021-09-11 18:05:20.431866 : Epoch  6, Batch   1178, Loss  0.869044, Average Loss  0.870487, Time  0.324474
2021-09-11 18:05:26.148832 : Epoch  6, Batch   1179, Loss  0.863500, Average Loss  0.870388, Time  0.254791
2021-09-11 18:05:31.437050 : Epoch  6, Batch   1180, Loss  0.878545, Average Loss  0.870476, Time  0.361401
2021-09-11 18:05:37.018445 : Epoch  6, Batch   1181, Loss  0.863492, Average Loss  0.870410, Time  0.421949
2021-09-11 18:05:43.243793 : Epoch  6, Batch   1182, Loss  0.875670, Average Loss  0.870451, Time  0.246274
2021-09-11 18:05:48.423065 : Epoch  6, Batch   1183, Loss  0.865348, Average Loss  0.870415, Time  0.349614
2021-09-11 18:05:55.157582 : Epoch  6, Batch   1184, Loss  0.862611, Average Loss  0.870374, Time  0.277056
2021-09-11 18:06:00.279859 : Epoch  6, Batch   1185, Loss  0.871881, Average Loss  0.870425, Time  0.273369
2021-09-11 18:06:07.292014 : Epoch  6, Batch   1186, Loss  0.880656, Average Loss  0.870558, Time  0.262952
2021-09-11 18:06:13.015765 : Epoch  6, Batch   1187, Loss  0.872240, Average Loss  0.870605, Time  0.290400
2021-09-11 18:06:20.570822 : Epoch  6, Batch   1188, Loss  0.877734, Average Loss  0.870671, Time  0.398473
2021-09-11 18:06:26.191950 : Epoch  6, Batch   1189, Loss  0.891314, Average Loss  0.870690, Time  0.387699
2021-09-11 18:06:31.100753 : Epoch  6, Batch   1190, Loss  0.870453, Average Loss  0.870611, Time  0.238537
2021-09-11 18:06:37.388867 : Epoch  6, Batch   1191, Loss  0.859482, Average Loss  0.870607, Time  0.301589
2021-09-11 18:06:41.243775 : Epoch  6, Batch   1192, Loss  0.881740, Average Loss  0.870774, Time  0.281399
2021-09-11 18:06:46.537555 : Epoch  6, Batch   1193, Loss  0.860919, Average Loss  0.870683, Time  0.258697
2021-09-11 18:06:50.780087 : Epoch  6, Batch   1194, Loss  0.866012, Average Loss  0.870639, Time  0.288244
2021-09-11 18:06:56.914560 : Epoch  6, Batch   1195, Loss  0.857916, Average Loss  0.870524, Time  0.431331
2021-09-11 18:07:04.773029 : Epoch  6, Batch   1196, Loss  0.868047, Average Loss  0.870498, Time  0.346013
2021-09-11 18:07:11.332535 : Epoch  6, Batch   1197, Loss  0.871035, Average Loss  0.870540, Time  0.325062
2021-09-11 18:07:16.979990 : Epoch  6, Batch   1198, Loss  0.891047, Average Loss  0.870680, Time  0.389925
2021-09-11 18:07:23.928316 : Epoch  6, Batch   1199, Loss  0.868657, Average Loss  0.870651, Time  0.289452
2021-09-11 18:07:32.326031 : Epoch  6, Batch   1200, Loss  0.871709, Average Loss  0.870749, Time  0.342499
2021-09-11 18:07:37.328068 : CheckPoint: Validation Loss  0.00062224, Best Loss  0.00057296
2021-09-11 18:07:38.945913 : Epoch  6, Batch   2546, Loss  0.876349, Average Loss  0.868589, Time  0.176582
2021-09-11 18:07:39.817789 : Epoch  6, Batch   1201, Loss  0.901616, Average Loss  0.870842, Time  0.534103
2021-09-11 18:07:40.564985 : Epoch  6, Batch   2547, Loss  0.881810, Average Loss  0.868621, Time  0.170209
2021-09-11 18:07:42.165982 : Epoch  6, Batch   2548, Loss  0.892168, Average Loss  0.868787, Time  0.169970
2021-09-11 18:07:43.757511 : Epoch  6, Batch   2549, Loss  0.888577, Average Loss  0.868852, Time  0.169783
2021-09-11 18:07:45.367974 : Epoch  6, Batch   2550, Loss  0.885524, Average Loss  0.869029, Time  0.170205
2021-09-11 18:07:45.996585 : Epoch  6, Batch   1202, Loss  0.866305, Average Loss  0.870727, Time  0.255193
2021-09-11 18:07:46.981997 : Epoch  6, Batch   2551, Loss  0.904250, Average Loss  0.869257, Time  0.169789
2021-09-11 18:07:48.605997 : Epoch  6, Batch   2552, Loss  0.876638, Average Loss  0.869399, Time  0.169984
2021-09-11 18:07:50.218845 : Epoch  6, Batch   2553, Loss  0.875310, Average Loss  0.869428, Time  0.169858
2021-09-11 18:07:51.411210 : Epoch  6, Batch   1203, Loss  0.854441, Average Loss  0.870724, Time  0.316966
2021-09-11 18:07:51.833995 : Epoch  6, Batch   2554, Loss  0.816263, Average Loss  0.869065, Time  0.169769
2021-09-11 18:07:53.428774 : Epoch  6, Batch   2555, Loss  0.861579, Average Loss  0.869062, Time  0.169962
2021-09-11 18:07:55.066068 : Epoch  6, Batch   2556, Loss  0.874573, Average Loss  0.869114, Time  0.176587
2021-09-11 18:07:56.660007 : Epoch  6, Batch   2557, Loss  0.834733, Average Loss  0.868992, Time  0.172036
2021-09-11 18:07:57.658796 : Epoch  6, Batch   1204, Loss  0.874941, Average Loss  0.870739, Time  0.361809
2021-09-11 18:07:58.276868 : Epoch  6, Batch   2558, Loss  0.886841, Average Loss  0.869340, Time  0.169863
2021-09-11 18:07:59.893823 : Epoch  6, Batch   2559, Loss  0.875818, Average Loss  0.869434, Time  0.169626
2021-09-11 18:08:01.271514 : Epoch  6, Batch   1205, Loss  0.870461, Average Loss  0.870796, Time  0.248363
2021-09-11 18:08:01.497803 : Epoch  6, Batch   2560, Loss  0.842336, Average Loss  0.869420, Time  0.170129
2021-09-11 18:08:03.096774 : Epoch  6, Batch   2561, Loss  0.869962, Average Loss  0.869309, Time  0.169788
2021-09-11 18:08:04.692002 : Epoch  6, Batch   2562, Loss  0.890875, Average Loss  0.869545, Time  0.169986
2021-09-11 18:08:05.879193 : Epoch  6, Batch   1206, Loss  0.868074, Average Loss  0.870793, Time  0.239820
2021-09-11 18:08:06.290791 : Epoch  6, Batch   2563, Loss  0.878869, Average Loss  0.869692, Time  0.169728
2021-09-11 18:08:07.888749 : Epoch  6, Batch   2564, Loss  0.873224, Average Loss  0.869740, Time  0.169677
2021-09-11 18:08:09.495838 : Epoch  6, Batch   2565, Loss  0.872086, Average Loss  0.869780, Time  0.169822
2021-09-11 18:08:10.689130 : Epoch  6, Batch   1207, Loss  0.885180, Average Loss  0.870829, Time  0.268266
2021-09-11 18:08:11.095780 : Epoch  6, Batch   2566, Loss  0.859637, Average Loss  0.869662, Time  0.172559
2021-09-11 18:08:12.696001 : Epoch  6, Batch   2567, Loss  0.888593, Average Loss  0.869815, Time  0.169789
2021-09-11 18:08:14.301982 : Epoch  6, Batch   2568, Loss  0.847475, Average Loss  0.869719, Time  0.169846
2021-09-11 18:08:15.720648 : Epoch  6, Batch   1208, Loss  0.887620, Average Loss  0.870900, Time  0.287043
2021-09-11 18:08:15.896844 : Epoch  6, Batch   2569, Loss  0.857242, Average Loss  0.869550, Time  0.169924
2021-09-11 18:08:17.489845 : Epoch  6, Batch   2570, Loss  0.877773, Average Loss  0.869717, Time  0.169804
2021-09-11 18:08:19.107990 : Epoch  6, Batch   2571, Loss  0.858831, Average Loss  0.869691, Time  0.169769
2021-09-11 18:08:20.704672 : Epoch  6, Batch   2572, Loss  0.839521, Average Loss  0.869533, Time  0.169752
2021-09-11 18:08:22.305737 : Epoch  6, Batch   2573, Loss  0.897710, Average Loss  0.869712, Time  0.169737
2021-09-11 18:08:23.816421 : Epoch  6, Batch   1209, Loss  0.858081, Average Loss  0.870905, Time  0.479784
2021-09-11 18:08:23.909933 : Epoch  6, Batch   2574, Loss  0.850194, Average Loss  0.869499, Time  0.169781
2021-09-11 18:08:25.508748 : Epoch  6, Batch   2575, Loss  0.851894, Average Loss  0.869348, Time  0.173274
2021-09-11 18:08:27.108841 : Epoch  6, Batch   2576, Loss  0.877448, Average Loss  0.869491, Time  0.170493
2021-09-11 18:08:28.711009 : Epoch  6, Batch   2577, Loss  0.880868, Average Loss  0.869506, Time  0.169810
2021-09-11 18:08:30.298852 : Epoch  6, Batch   2578, Loss  0.871915, Average Loss  0.869553, Time  0.169641
2021-09-11 18:08:30.424811 : Epoch  6, Batch   1210, Loss  0.863908, Average Loss  0.870880, Time  0.487638
2021-09-11 18:08:31.903803 : Epoch  6, Batch   2579, Loss  0.827609, Average Loss  0.869486, Time  0.169858
2021-09-11 18:08:33.507820 : Epoch  6, Batch   2580, Loss  0.841592, Average Loss  0.869348, Time  0.169852
2021-09-11 18:08:35.103898 : Epoch  6, Batch   2581, Loss  0.843424, Average Loss  0.869375, Time  0.169919
2021-09-11 18:08:36.692989 : Epoch  6, Batch   2582, Loss  0.879347, Average Loss  0.869521, Time  0.169821
2021-09-11 18:08:36.874061 : Epoch  6, Batch   1211, Loss  0.863214, Average Loss  0.870874, Time  0.349275
2021-09-11 18:08:38.333908 : Epoch  6, Batch   2583, Loss  0.868032, Average Loss  0.869596, Time  0.169699
2021-09-11 18:08:39.539904 : Epoch  6, Batch   1212, Loss  0.893330, Average Loss  0.870960, Time  0.311669
2021-09-11 18:08:39.939867 : Epoch  6, Batch   2584, Loss  0.853453, Average Loss  0.869426, Time  0.169677
2021-09-11 18:08:41.538748 : Epoch  6, Batch   2585, Loss  0.899762, Average Loss  0.869505, Time  0.169854
2021-09-11 18:08:43.138824 : Epoch  6, Batch   2586, Loss  0.855718, Average Loss  0.869475, Time  0.169930
2021-09-11 18:08:44.754038 : Epoch  6, Batch   2587, Loss  0.878146, Average Loss  0.869648, Time  0.172166
2021-09-11 18:08:46.382633 : Epoch  6, Batch   1213, Loss  0.856465, Average Loss  0.870905, Time  0.328777
2021-09-11 18:08:46.409838 : Epoch  6, Batch   2588, Loss  0.884915, Average Loss  0.869700, Time  0.172029
2021-09-11 18:08:48.031000 : Epoch  6, Batch   2589, Loss  0.847364, Average Loss  0.869650, Time  0.169799
2021-09-11 18:08:49.619748 : Epoch  6, Batch   2590, Loss  0.872020, Average Loss  0.869747, Time  0.170033
2021-09-11 18:08:51.217763 : Epoch  6, Batch   2591, Loss  0.896676, Average Loss  0.869808, Time  0.169784
2021-09-11 18:08:52.815751 : Epoch  6, Batch   2592, Loss  0.871315, Average Loss  0.869691, Time  0.169876
2021-09-11 18:08:54.413989 : Epoch  6, Batch   2593, Loss  0.871557, Average Loss  0.869898, Time  0.169607
2021-09-11 18:08:54.719357 : Epoch  6, Batch   1214, Loss  0.875696, Average Loss  0.870786, Time  0.410590
2021-09-11 18:08:56.018825 : Epoch  6, Batch   2594, Loss  0.883637, Average Loss  0.869967, Time  0.171791
2021-09-11 18:08:57.631818 : Epoch  6, Batch   2595, Loss  0.891704, Average Loss  0.870150, Time  0.169583
2021-09-11 18:08:59.229855 : Epoch  6, Batch   2596, Loss  0.885290, Average Loss  0.870363, Time  0.169780
2021-09-11 18:09:00.347454 : Epoch  6, Batch   1215, Loss  0.874675, Average Loss  0.870913, Time  0.432027
2021-09-11 18:09:00.851696 : Epoch  6, Batch   2597, Loss  0.867167, Average Loss  0.870325, Time  0.169498
2021-09-11 18:09:02.445746 : Epoch  6, Batch   2598, Loss  0.868294, Average Loss  0.870297, Time  0.169764
2021-09-11 18:09:04.052933 : Epoch  6, Batch   2599, Loss  0.862317, Average Loss  0.870121, Time  0.169509
2021-09-11 18:09:05.112792 : Epoch  6, Batch   1216, Loss  0.877448, Average Loss  0.871018, Time  0.262098
2021-09-11 18:09:05.661795 : Epoch  6, Batch   2600, Loss  0.872628, Average Loss  0.870098, Time  0.169626
2021-09-11 18:09:07.265768 : Epoch  6, Batch   2601, Loss  0.851367, Average Loss  0.869883, Time  0.169837
2021-09-11 18:09:08.863000 : Epoch  6, Batch   2602, Loss  0.859188, Average Loss  0.869813, Time  0.170049
2021-09-11 18:09:09.776207 : Epoch  6, Batch   1217, Loss  0.873425, Average Loss  0.870951, Time  0.359532
2021-09-11 18:09:10.461751 : Epoch  6, Batch   2603, Loss  0.881033, Average Loss  0.869796, Time  0.169946
2021-09-11 18:09:12.065768 : Epoch  6, Batch   2604, Loss  0.830115, Average Loss  0.869496, Time  0.169580
2021-09-11 18:09:13.678005 : Epoch  6, Batch   2605, Loss  0.874025, Average Loss  0.869433, Time  0.169720
2021-09-11 18:09:15.280823 : Epoch  6, Batch   2606, Loss  0.878844, Average Loss  0.869674, Time  0.169797
2021-09-11 18:09:15.996976 : Epoch  6, Batch   1218, Loss  0.880836, Average Loss  0.871068, Time  0.274499
2021-09-11 18:09:16.883993 : Epoch  6, Batch   2607, Loss  0.886208, Average Loss  0.869686, Time  0.169368
2021-09-11 18:09:18.488844 : Epoch  6, Batch   2608, Loss  0.885618, Average Loss  0.869756, Time  0.169686
2021-09-11 18:09:20.092996 : Epoch  6, Batch   2609, Loss  0.839179, Average Loss  0.869508, Time  0.169703
2021-09-11 18:09:21.700861 : Epoch  6, Batch   2610, Loss  0.855802, Average Loss  0.869237, Time  0.169853
2021-09-11 18:09:22.231942 : Epoch  6, Batch   1219, Loss  0.876076, Average Loss  0.871011, Time  0.282362
2021-09-11 18:09:23.293987 : Epoch  6, Batch   2611, Loss  0.856038, Average Loss  0.869241, Time  0.169685
2021-09-11 18:09:24.901996 : Epoch  6, Batch   2612, Loss  0.896924, Average Loss  0.869416, Time  0.169930
2021-09-11 18:09:26.499999 : Epoch  6, Batch   2613, Loss  0.850835, Average Loss  0.869437, Time  0.169551
2021-09-11 18:09:28.104747 : Epoch  6, Batch   2614, Loss  0.889749, Average Loss  0.869557, Time  0.170005
2021-09-11 18:09:29.726907 : Epoch  6, Batch   2615, Loss  0.873233, Average Loss  0.869627, Time  0.169928
2021-09-11 18:09:29.901167 : Epoch  6, Batch   1220, Loss  0.843276, Average Loss  0.870921, Time  0.304005
2021-09-11 18:09:31.337793 : Epoch  6, Batch   2616, Loss  0.883120, Average Loss  0.869755, Time  0.170371
2021-09-11 18:09:32.934007 : Epoch  6, Batch   2617, Loss  0.877200, Average Loss  0.869866, Time  0.169755
2021-09-11 18:09:34.526839 : Epoch  6, Batch   2618, Loss  0.874705, Average Loss  0.869942, Time  0.169975
2021-09-11 18:09:36.138999 : Epoch  6, Batch   2619, Loss  0.887729, Average Loss  0.870187, Time  0.169655
2021-09-11 18:09:37.739991 : Epoch  6, Batch   2620, Loss  0.871863, Average Loss  0.870214, Time  0.169776
2021-09-11 18:09:39.366077 : Epoch  6, Batch   2621, Loss  0.869947, Average Loss  0.870090, Time  0.170071
2021-09-11 18:09:40.968848 : Epoch  6, Batch   2622, Loss  0.871629, Average Loss  0.869977, Time  0.169793
2021-09-11 18:09:42.570860 : Epoch  6, Batch   2623, Loss  0.835334, Average Loss  0.869733, Time  0.172210
2021-09-11 18:09:44.162993 : Epoch  6, Batch   2624, Loss  0.869507, Average Loss  0.869759, Time  0.169845
2021-09-11 18:09:45.771835 : Epoch  6, Batch   2625, Loss  0.877417, Average Loss  0.869827, Time  0.169810
2021-09-11 18:09:47.379809 : Epoch  6, Batch   2626, Loss  0.871909, Average Loss  0.869789, Time  0.169739
2021-09-11 18:09:48.984995 : Epoch  6, Batch   2627, Loss  0.843099, Average Loss  0.869539, Time  0.169629
2021-09-11 18:09:50.592824 : Epoch  6, Batch   2628, Loss  0.850571, Average Loss  0.869538, Time  0.170066
2021-09-11 18:09:52.200039 : Epoch  6, Batch   2629, Loss  0.868259, Average Loss  0.869458, Time  0.170236
2021-09-11 18:09:53.795856 : Epoch  6, Batch   2630, Loss  0.847616, Average Loss  0.869422, Time  0.169950
2021-09-11 18:09:55.409744 : Epoch  6, Batch   2631, Loss  0.892097, Average Loss  0.869600, Time  0.170060
2021-09-11 18:09:57.020870 : Epoch  6, Batch   2632, Loss  0.862348, Average Loss  0.869739, Time  0.169882
2021-09-11 18:09:58.647026 : Epoch  6, Batch   2633, Loss  0.844986, Average Loss  0.869656, Time  0.169939
2021-09-11 18:10:00.257793 : Epoch  6, Batch   2634, Loss  0.864602, Average Loss  0.869680, Time  0.169904
2021-09-11 18:10:01.866038 : Epoch  6, Batch   2635, Loss  0.897574, Average Loss  0.869872, Time  0.169765
2021-09-11 18:10:03.478017 : Epoch  6, Batch   2636, Loss  0.896046, Average Loss  0.870080, Time  0.169970
2021-09-11 18:10:05.072730 : Epoch  6, Batch   2637, Loss  0.849324, Average Loss  0.870006, Time  0.169960
2021-09-11 18:10:06.683019 : Epoch  6, Batch   2638, Loss  0.881510, Average Loss  0.870051, Time  0.169758
2021-09-11 18:10:08.292041 : Epoch  6, Batch   2639, Loss  0.853582, Average Loss  0.869864, Time  0.170030
2021-09-11 18:10:09.903998 : Epoch  6, Batch   2640, Loss  0.859262, Average Loss  0.869784, Time  0.172548
2021-09-11 18:10:11.502099 : Epoch  6, Batch   2641, Loss  0.910957, Average Loss  0.869992, Time  0.174001
2021-09-11 18:10:13.127354 : Epoch  6, Batch   2642, Loss  0.869834, Average Loss  0.869983, Time  0.169808
2021-09-11 18:10:14.731036 : Epoch  6, Batch   2643, Loss  0.895555, Average Loss  0.869988, Time  0.169903
2021-09-11 18:10:16.333947 : Epoch  6, Batch   2644, Loss  0.882230, Average Loss  0.870061, Time  0.170382
2021-09-11 18:10:17.932141 : Epoch  6, Batch   2645, Loss  0.886977, Average Loss  0.870398, Time  0.170479
2021-09-11 18:14:57.914108 : CheckPoint: Validation Loss  0.00060423, Best Loss  0.00057296
2021-09-11 18:14:59.521913 : Epoch  6, Batch   2646, Loss  0.865018, Average Loss  0.870361, Time  0.177638
2021-09-11 18:15:01.129975 : Epoch  6, Batch   2647, Loss  0.848930, Average Loss  0.870407, Time  0.170445
2021-09-11 18:15:02.732752 : Epoch  6, Batch   2648, Loss  0.880894, Average Loss  0.870505, Time  0.170025
2021-09-11 18:15:04.331987 : Epoch  6, Batch   2649, Loss  0.863105, Average Loss  0.870485, Time  0.169542
2021-09-11 18:15:05.929870 : Epoch  6, Batch   2650, Loss  0.899007, Average Loss  0.870649, Time  0.169663
2021-09-11 18:15:07.529988 : Epoch  6, Batch   2651, Loss  0.891558, Average Loss  0.870844, Time  0.169999
2021-09-11 18:15:09.168006 : Epoch  6, Batch   2652, Loss  0.873098, Average Loss  0.870838, Time  0.170033
2021-09-11 18:15:10.793861 : Epoch  6, Batch   2653, Loss  0.840850, Average Loss  0.870580, Time  0.176561
2021-09-11 18:15:12.396922 : Epoch  6, Batch   2654, Loss  0.878948, Average Loss  0.870541, Time  0.173861
2021-09-11 18:15:14.010031 : Epoch  6, Batch   2655, Loss  0.888706, Average Loss  0.870839, Time  0.177144
2021-09-11 18:15:15.632743 : Epoch  6, Batch   2656, Loss  0.855303, Average Loss  0.870785, Time  0.179125
2021-09-11 18:15:17.252022 : Epoch  6, Batch   2657, Loss  0.875704, Average Loss  0.870728, Time  0.177575
2021-09-11 18:15:18.844852 : Epoch  6, Batch   2658, Loss  0.860285, Average Loss  0.870785, Time  0.172556
2021-09-11 18:15:20.447018 : Epoch  6, Batch   2659, Loss  0.905520, Average Loss  0.871003, Time  0.170061
2021-09-11 18:15:22.049027 : Epoch  6, Batch   2660, Loss  0.880291, Average Loss  0.871032, Time  0.173620
2021-09-11 18:15:23.658030 : Epoch  6, Batch   2661, Loss  0.895520, Average Loss  0.871131, Time  0.169621
2021-09-11 18:15:25.264903 : Epoch  6, Batch   2662, Loss  0.861050, Average Loss  0.871020, Time  0.184793
2021-09-11 18:15:26.876030 : Epoch  6, Batch   2663, Loss  0.906825, Average Loss  0.871183, Time  0.172291
2021-09-11 18:15:28.475819 : Epoch  6, Batch   2664, Loss  0.833454, Average Loss  0.871057, Time  0.170761
2021-09-11 18:15:30.111034 : Epoch  6, Batch   2665, Loss  0.894807, Average Loss  0.871235, Time  0.169926
2021-09-11 18:15:31.714937 : Epoch  6, Batch   2666, Loss  0.874764, Average Loss  0.871215, Time  0.177048
2021-09-11 18:15:33.327752 : Epoch  6, Batch   2667, Loss  0.876468, Average Loss  0.871281, Time  0.175672
2021-09-11 18:15:34.930783 : Epoch  6, Batch   2668, Loss  0.853853, Average Loss  0.871180, Time  0.169909
2021-09-11 18:15:36.511608 : Epoch  6, Batch   2669, Loss  0.901628, Average Loss  0.871426, Time  0.170533
2021-09-11 18:15:38.111028 : Epoch  6, Batch   2670, Loss  0.894497, Average Loss  0.871537, Time  0.176168
2021-09-11 18:15:39.755749 : Epoch  6, Batch   2671, Loss  0.849925, Average Loss  0.871421, Time  0.180868
2021-09-11 18:15:41.349776 : Epoch  6, Batch   2672, Loss  0.904189, Average Loss  0.871533, Time  0.169928
2021-09-11 18:15:42.952777 : Epoch  6, Batch   2673, Loss  0.868882, Average Loss  0.871438, Time  0.172194
2021-09-11 18:15:44.552820 : Epoch  6, Batch   2674, Loss  0.848129, Average Loss  0.871309, Time  0.170049
2021-09-11 18:15:46.147749 : Epoch  6, Batch   2675, Loss  0.875752, Average Loss  0.871355, Time  0.172055
2021-09-11 18:15:47.756867 : Epoch  6, Batch   2676, Loss  0.882095, Average Loss  0.871294, Time  0.173978
2021-09-11 18:15:49.358857 : Epoch  6, Batch   2677, Loss  0.831395, Average Loss  0.870925, Time  0.178448
2021-09-11 18:15:50.979029 : Epoch  6, Batch   2678, Loss  0.866497, Average Loss  0.870936, Time  0.179072
2021-09-11 18:15:52.589034 : Epoch  6, Batch   2679, Loss  0.909352, Average Loss  0.871195, Time  0.172775
2021-09-11 18:15:54.183014 : Epoch  6, Batch   2680, Loss  0.874335, Average Loss  0.871210, Time  0.170253
2021-09-11 18:15:55.787036 : Epoch  6, Batch   2681, Loss  0.886468, Average Loss  0.871339, Time  0.169547
2021-09-11 18:15:57.421028 : Epoch  6, Batch   2682, Loss  0.878741, Average Loss  0.871457, Time  0.180005
2021-09-11 18:15:59.021769 : Epoch  6, Batch   2683, Loss  0.875240, Average Loss  0.871638, Time  0.170055
2021-09-11 18:16:00.622990 : Epoch  6, Batch   2684, Loss  0.875826, Average Loss  0.871769, Time  0.169700
2021-09-11 18:16:02.224985 : Epoch  6, Batch   2685, Loss  0.842725, Average Loss  0.871786, Time  0.169822
2021-09-11 18:16:03.821000 : Epoch  6, Batch   2686, Loss  0.848560, Average Loss  0.871838, Time  0.169641
2021-09-11 18:16:05.426987 : Epoch  6, Batch   2687, Loss  0.861113, Average Loss  0.871746, Time  0.169664
2021-09-11 18:16:07.028935 : Epoch  6, Batch   2688, Loss  0.876295, Average Loss  0.871859, Time  0.169632
2021-09-11 18:16:08.643836 : Epoch  6, Batch   2689, Loss  0.885297, Average Loss  0.871930, Time  0.169848
2021-09-11 18:16:10.244985 : Epoch  6, Batch   2690, Loss  0.870317, Average Loss  0.871817, Time  0.169879
2021-09-11 18:16:11.849997 : Epoch  6, Batch   2691, Loss  0.858400, Average Loss  0.871807, Time  0.169778
2021-09-11 18:16:13.454995 : Epoch  6, Batch   2692, Loss  0.851358, Average Loss  0.871638, Time  0.169727
2021-09-11 18:16:15.059982 : Epoch  6, Batch   2693, Loss  0.872459, Average Loss  0.871644, Time  0.169657
2021-09-11 18:16:16.661032 : Epoch  6, Batch   2694, Loss  0.894535, Average Loss  0.871737, Time  0.170066
2021-09-11 18:16:18.260001 : Epoch  6, Batch   2695, Loss  0.898243, Average Loss  0.871778, Time  0.169646
2021-09-11 18:16:19.865991 : Epoch  6, Batch   2696, Loss  0.850481, Average Loss  0.871729, Time  0.169945
2021-09-11 18:16:21.483003 : Epoch  6, Batch   2697, Loss  0.866848, Average Loss  0.871849, Time  0.169632
2021-09-11 18:16:23.090799 : Epoch  6, Batch   2698, Loss  0.872898, Average Loss  0.871905, Time  0.169837
2021-09-11 18:16:24.689820 : Epoch  6, Batch   2699, Loss  0.836094, Average Loss  0.871751, Time  0.169769
2021-09-11 18:16:26.288789 : Epoch  6, Batch   2700, Loss  0.862845, Average Loss  0.871747, Time  0.169563
2021-09-11 18:16:27.885802 : Epoch  6, Batch   2701, Loss  0.856169, Average Loss  0.871492, Time  0.169591
2021-09-11 18:16:29.468848 : Epoch  6, Batch   2702, Loss  0.858581, Average Loss  0.871482, Time  0.170465
2021-09-11 18:16:31.061742 : Epoch  6, Batch   2703, Loss  0.861815, Average Loss  0.871587, Time  0.169890
2021-09-11 18:16:32.667844 : Epoch  6, Batch   2704, Loss  0.856954, Average Loss  0.871590, Time  0.169427
2021-09-11 18:16:34.265766 : Epoch  6, Batch   2705, Loss  0.854293, Average Loss  0.871504, Time  0.172066
2021-09-11 18:16:35.854015 : Epoch  6, Batch   2706, Loss  0.858377, Average Loss  0.871591, Time  0.176971
2021-09-11 18:16:37.458018 : Epoch  6, Batch   2707, Loss  0.866104, Average Loss  0.871567, Time  0.174634
2021-09-11 18:16:39.098772 : Epoch  6, Batch   2708, Loss  0.873469, Average Loss  0.871676, Time  0.172284
2021-09-11 18:16:40.706839 : Epoch  6, Batch   2709, Loss  0.861662, Average Loss  0.871641, Time  0.169978
2021-09-11 18:16:42.303840 : Epoch  6, Batch   2710, Loss  0.862090, Average Loss  0.871572, Time  0.170233
2021-09-11 18:16:43.921032 : Epoch  6, Batch   2711, Loss  0.861325, Average Loss  0.871574, Time  0.172687
2021-09-11 18:16:45.534023 : Epoch  6, Batch   2712, Loss  0.872424, Average Loss  0.871445, Time  0.173834
2021-09-11 18:16:47.161028 : Epoch  6, Batch   2713, Loss  0.887398, Average Loss  0.871462, Time  0.173565
2021-09-11 18:16:48.769031 : Epoch  6, Batch   2714, Loss  0.869129, Average Loss  0.871510, Time  0.170696
2021-09-11 18:16:50.353797 : Epoch  6, Batch   2715, Loss  0.870339, Average Loss  0.871428, Time  0.171510
2021-09-11 18:16:52.016021 : Epoch  6, Batch   2716, Loss  0.903902, Average Loss  0.871557, Time  0.181962
2021-09-11 18:16:53.614020 : Epoch  6, Batch   2717, Loss  0.848584, Average Loss  0.871428, Time  0.170204
2021-09-11 18:16:55.226875 : Epoch  6, Batch   2718, Loss  0.900529, Average Loss  0.871497, Time  0.169915
2021-09-11 18:16:56.818613 : Epoch  6, Batch   2719, Loss  0.872467, Average Loss  0.871522, Time  0.170225
2021-09-11 18:16:58.436854 : Epoch  6, Batch   2720, Loss  0.889028, Average Loss  0.871571, Time  0.169787
2021-09-11 18:17:00.075634 : Epoch  6, Batch   2721, Loss  0.892713, Average Loss  0.871626, Time  0.169708
2021-09-11 18:17:01.682748 : Epoch  6, Batch   2722, Loss  0.850969, Average Loss  0.871371, Time  0.171907
2021-09-11 18:17:03.278993 : Epoch  6, Batch   2723, Loss  0.887996, Average Loss  0.871300, Time  0.169679
2021-09-11 18:17:04.891790 : Epoch  6, Batch   2724, Loss  0.838014, Average Loss  0.871022, Time  0.169799
2021-09-11 18:17:06.496829 : Epoch  6, Batch   2725, Loss  0.830160, Average Loss  0.870684, Time  0.172544
2021-09-11 18:17:08.083092 : Epoch  6, Batch   2726, Loss  0.879706, Average Loss  0.870696, Time  0.176962
2021-09-11 18:17:09.692751 : Epoch  6, Batch   2727, Loss  0.881880, Average Loss  0.870711, Time  0.173059
2021-09-11 18:17:11.300016 : Epoch  6, Batch   2728, Loss  0.868704, Average Loss  0.870819, Time  0.169715
2021-09-11 18:17:12.912753 : Epoch  6, Batch   2729, Loss  0.844183, Average Loss  0.870650, Time  0.173903
2021-09-11 18:17:14.519754 : Epoch  6, Batch   2730, Loss  0.870837, Average Loss  0.870605, Time  0.173175
2021-09-11 18:17:16.135025 : Epoch  6, Batch   2731, Loss  0.878866, Average Loss  0.870647, Time  0.177356
2021-09-11 18:17:17.747022 : Epoch  6, Batch   2732, Loss  0.879963, Average Loss  0.870471, Time  0.170061
2021-09-11 18:17:19.352858 : Epoch  6, Batch   2733, Loss  0.854995, Average Loss  0.870442, Time  0.173798
2021-09-11 18:17:20.948791 : Epoch  6, Batch   2734, Loss  0.865219, Average Loss  0.870399, Time  0.170428
2021-09-11 18:17:22.566782 : Epoch  6, Batch   2735, Loss  0.890015, Average Loss  0.870562, Time  0.171183
2021-09-11 18:17:24.180922 : Epoch  6, Batch   2736, Loss  0.889060, Average Loss  0.870551, Time  0.169837
2021-09-11 18:17:25.778828 : Epoch  6, Batch   2737, Loss  0.851428, Average Loss  0.870271, Time  0.169623
2021-09-11 18:17:27.386996 : Epoch  6, Batch   2738, Loss  0.862702, Average Loss  0.870200, Time  0.169560
2021-09-11 18:17:28.988870 : Epoch  6, Batch   2739, Loss  0.874311, Average Loss  0.870304, Time  0.169783
2021-09-11 18:17:30.594754 : Epoch  6, Batch   2740, Loss  0.852273, Average Loss  0.870289, Time  0.170066
2021-09-11 18:17:32.209778 : Epoch  6, Batch   2741, Loss  0.865392, Average Loss  0.870329, Time  0.185990
2021-09-11 18:17:33.834791 : Epoch  6, Batch   2742, Loss  0.861846, Average Loss  0.870360, Time  0.171123
2021-09-11 18:17:35.435764 : Epoch  6, Batch   2743, Loss  0.850399, Average Loss  0.870234, Time  0.170190
2021-09-11 18:17:37.033820 : Epoch  6, Batch   2744, Loss  0.885736, Average Loss  0.870293, Time  0.170045
2021-09-11 18:17:38.646027 : Epoch  6, Batch   2745, Loss  0.885290, Average Loss  0.870232, Time  0.171848
2021-09-11 18:18:04.884835 : CheckPoint: Validation Loss  0.00030583, Best Loss  0.00029019
2021-09-11 18:18:14.550255 : Epoch  6, Batch   1221, Loss  0.868482, Average Loss  0.870886, Time  0.349875
2021-09-11 18:18:23.929183 : Epoch  6, Batch   1222, Loss  0.874116, Average Loss  0.870855, Time  0.306820
2021-09-11 18:18:27.026079 : Epoch  6, Batch   1223, Loss  0.870451, Average Loss  0.870851, Time  0.344700
2021-09-11 18:18:33.666759 : Epoch  6, Batch   1224, Loss  0.869041, Average Loss  0.870898, Time  0.383784
2021-09-11 18:18:37.763270 : Epoch  6, Batch   1225, Loss  0.849332, Average Loss  0.870738, Time  0.357652
2021-09-11 18:18:43.050189 : Epoch  6, Batch   1226, Loss  0.859741, Average Loss  0.870585, Time  0.286940
2021-09-11 18:18:48.856383 : Epoch  6, Batch   1227, Loss  0.860902, Average Loss  0.870559, Time  0.239859
2021-09-11 18:18:54.230925 : Epoch  6, Batch   1228, Loss  0.889054, Average Loss  0.870558, Time  0.388870
2021-09-11 18:18:59.973020 : Epoch  6, Batch   1229, Loss  0.880087, Average Loss  0.870538, Time  0.290440
2021-09-11 18:19:05.300982 : Epoch  6, Batch   1230, Loss  0.887703, Average Loss  0.870517, Time  0.345269
2021-09-11 18:19:09.740088 : Epoch  6, Batch   1231, Loss  0.884133, Average Loss  0.870567, Time  0.278678
2021-09-11 18:19:15.747435 : Epoch  6, Batch   1232, Loss  0.884112, Average Loss  0.870543, Time  0.291678
2021-09-11 18:19:19.801159 : Epoch  6, Batch   1233, Loss  0.879442, Average Loss  0.870578, Time  0.300655
2021-09-11 18:19:22.429795 : Epoch  6, Batch   1234, Loss  0.874714, Average Loss  0.870589, Time  0.238511
2021-09-11 18:19:26.410028 : Epoch  6, Batch   1235, Loss  0.850439, Average Loss  0.870446, Time  0.311141
2021-09-11 18:19:32.621825 : Epoch  6, Batch   1236, Loss  0.859817, Average Loss  0.870344, Time  0.263899
2021-09-11 18:19:37.641925 : Epoch  6, Batch   1237, Loss  0.850529, Average Loss  0.870157, Time  0.237444
2021-09-11 18:19:43.467977 : Epoch  6, Batch   1238, Loss  0.866099, Average Loss  0.870093, Time  0.238431
2021-09-11 18:19:47.678996 : Epoch  6, Batch   1239, Loss  0.874067, Average Loss  0.870153, Time  0.283720
2021-09-11 18:19:54.356849 : Epoch  6, Batch   1240, Loss  0.848912, Average Loss  0.870096, Time  0.349977
2021-09-11 18:20:00.569753 : Epoch  6, Batch   1241, Loss  0.847222, Average Loss  0.869965, Time  0.253425
2021-09-11 18:20:05.644783 : Epoch  6, Batch   1242, Loss  0.869844, Average Loss  0.870013, Time  0.278142
2021-09-11 18:20:10.998280 : Epoch  6, Batch   1243, Loss  0.838658, Average Loss  0.869780, Time  0.260898
2021-09-11 18:20:18.238772 : Epoch  6, Batch   1244, Loss  0.846461, Average Loss  0.869661, Time  0.356434
2021-09-11 18:20:22.743303 : Epoch  6, Batch   1245, Loss  0.866020, Average Loss  0.869658, Time  0.365309
2021-09-11 18:20:27.295379 : Epoch  6, Batch   1246, Loss  0.880701, Average Loss  0.869738, Time  0.347526
2021-09-11 18:20:32.756415 : Epoch  6, Batch   1247, Loss  0.876748, Average Loss  0.869772, Time  0.314793
2021-09-11 18:20:39.014278 : Epoch  6, Batch   1248, Loss  0.853447, Average Loss  0.869773, Time  0.333756
2021-09-11 18:20:43.588785 : Epoch  6, Batch   1249, Loss  0.875168, Average Loss  0.869878, Time  0.240016
2021-09-11 18:20:47.890804 : Epoch  6, Batch   1250, Loss  0.862753, Average Loss  0.869731, Time  0.300196
2021-09-11 18:20:53.905223 : Epoch  6, Batch   1251, Loss  0.869121, Average Loss  0.869805, Time  0.486437
2021-09-11 18:20:57.648416 : Epoch  6, Batch   1252, Loss  0.893785, Average Loss  0.869823, Time  0.306378
2021-09-11 18:21:02.949861 : Epoch  6, Batch   1253, Loss  0.847147, Average Loss  0.869615, Time  0.331357
2021-09-11 18:21:06.931263 : Epoch  6, Batch   1254, Loss  0.878283, Average Loss  0.869643, Time  0.308949
2021-09-11 18:21:11.813452 : Epoch  6, Batch   1255, Loss  0.868013, Average Loss  0.869651, Time  0.292487
2021-09-11 18:21:18.996300 : Epoch  6, Batch   1256, Loss  0.863592, Average Loss  0.869570, Time  0.330101
2021-09-11 18:21:27.134888 : Epoch  6, Batch   1257, Loss  0.875707, Average Loss  0.869512, Time  0.456730
2021-09-11 18:21:31.074745 : Epoch  6, Batch   1258, Loss  0.878509, Average Loss  0.869611, Time  0.278776
2021-09-11 18:21:36.935823 : Epoch  6, Batch   1259, Loss  0.846851, Average Loss  0.869525, Time  0.356363
2021-09-11 18:21:41.105096 : Epoch  6, Batch   1260, Loss  0.840201, Average Loss  0.869365, Time  0.314158
2021-09-11 18:21:47.931777 : Epoch  6, Batch   1261, Loss  0.864347, Average Loss  0.869311, Time  0.343225
2021-09-11 18:21:55.146688 : Epoch  6, Batch   1262, Loss  0.849865, Average Loss  0.869259, Time  0.252673
2021-09-11 18:22:01.850478 : Epoch  6, Batch   1263, Loss  0.855197, Average Loss  0.869152, Time  0.516031
2021-09-11 18:22:07.538565 : Epoch  6, Batch   1264, Loss  0.901108, Average Loss  0.869236, Time  0.356793
2021-09-11 18:22:11.467793 : Epoch  6, Batch   1265, Loss  0.849960, Average Loss  0.869169, Time  0.300807
2021-09-11 18:22:18.162757 : Epoch  6, Batch   1266, Loss  0.859499, Average Loss  0.869080, Time  0.279457
2021-09-11 18:22:18.690038 : CheckPoint: Validation Loss  0.00059617, Best Loss  0.00057296
2021-09-11 18:22:20.293953 : Epoch  6, Batch   2746, Loss  0.874922, Average Loss  0.870225, Time  0.177692
2021-09-11 18:22:21.923773 : Epoch  6, Batch   2747, Loss  0.863381, Average Loss  0.870133, Time  0.184549
2021-09-11 18:22:23.539791 : Epoch  6, Batch   2748, Loss  0.877443, Average Loss  0.870059, Time  0.170434
2021-09-11 18:22:24.515967 : Epoch  6, Batch   1267, Loss  0.870518, Average Loss  0.869071, Time  0.291742
2021-09-11 18:22:25.144039 : Epoch  6, Batch   2749, Loss  0.867180, Average Loss  0.869952, Time  0.170236
2021-09-11 18:22:26.800791 : Epoch  6, Batch   2750, Loss  0.877009, Average Loss  0.869910, Time  0.178804
2021-09-11 18:22:28.443031 : Epoch  6, Batch   2751, Loss  0.884256, Average Loss  0.869810, Time  0.170914
2021-09-11 18:22:30.054023 : Epoch  6, Batch   2752, Loss  0.873929, Average Loss  0.869796, Time  0.170822
2021-09-11 18:22:30.248759 : Epoch  6, Batch   1268, Loss  0.879185, Average Loss  0.869073, Time  0.287601
2021-09-11 18:22:31.665806 : Epoch  6, Batch   2753, Loss  0.884744, Average Loss  0.869844, Time  0.176249
2021-09-11 18:22:33.287027 : Epoch  6, Batch   2754, Loss  0.897549, Average Loss  0.870250, Time  0.174055
2021-09-11 18:22:34.897018 : Epoch  6, Batch   2755, Loss  0.854433, Average Loss  0.870214, Time  0.176406
2021-09-11 18:22:35.182660 : Epoch  6, Batch   1269, Loss  0.866871, Average Loss  0.869074, Time  0.245129
2021-09-11 18:22:36.516861 : Epoch  6, Batch   2756, Loss  0.864522, Average Loss  0.870164, Time  0.175688
2021-09-11 18:22:38.129920 : Epoch  6, Batch   2757, Loss  0.864669, Average Loss  0.870314, Time  0.171325
2021-09-11 18:22:39.756825 : Epoch  6, Batch   2758, Loss  0.898861, Average Loss  0.870374, Time  0.169932
2021-09-11 18:22:40.907820 : Epoch  6, Batch   1270, Loss  0.857579, Average Loss  0.869075, Time  0.316034
2021-09-11 18:22:41.345015 : Epoch  6, Batch   2759, Loss  0.870002, Average Loss  0.870345, Time  0.169863
2021-09-11 18:22:42.966036 : Epoch  6, Batch   2760, Loss  0.876245, Average Loss  0.870514, Time  0.170167
2021-09-11 18:22:44.567023 : Epoch  6, Batch   2761, Loss  0.851835, Average Loss  0.870424, Time  0.171012
2021-09-11 18:22:46.187027 : Epoch  6, Batch   2762, Loss  0.866181, Average Loss  0.870300, Time  0.183781
2021-09-11 18:22:46.327115 : Epoch  6, Batch   1271, Loss  0.868597, Average Loss  0.869001, Time  0.376870
2021-09-11 18:22:47.801927 : Epoch  6, Batch   2763, Loss  0.863171, Average Loss  0.870222, Time  0.179198
2021-09-11 18:22:49.409763 : Epoch  6, Batch   2764, Loss  0.877180, Average Loss  0.870241, Time  0.178314
2021-09-11 18:22:51.024847 : Epoch  6, Batch   2765, Loss  0.884685, Average Loss  0.870304, Time  0.170089
2021-09-11 18:22:52.076039 : Epoch  6, Batch   1272, Loss  0.867049, Average Loss  0.869035, Time  0.488326
2021-09-11 18:22:52.640023 : Epoch  6, Batch   2766, Loss  0.862519, Average Loss  0.870319, Time  0.175180
2021-09-11 18:22:54.232032 : Epoch  6, Batch   2767, Loss  0.850522, Average Loss  0.870128, Time  0.169940
2021-09-11 18:22:55.844772 : Epoch  6, Batch   2768, Loss  0.876061, Average Loss  0.870271, Time  0.173837
2021-09-11 18:22:57.457036 : Epoch  6, Batch   2769, Loss  0.835096, Average Loss  0.870161, Time  0.172934
2021-09-11 18:22:57.521795 : Epoch  6, Batch   1273, Loss  0.843148, Average Loss  0.868879, Time  0.386130
2021-09-11 18:22:59.072022 : Epoch  6, Batch   2770, Loss  0.843609, Average Loss  0.869990, Time  0.171079
2021-09-11 18:23:00.678015 : Epoch  6, Batch   2771, Loss  0.863558, Average Loss  0.870013, Time  0.174562
2021-09-11 18:23:02.304045 : Epoch  6, Batch   2772, Loss  0.852872, Average Loss  0.870080, Time  0.178283
2021-09-11 18:23:03.141487 : Epoch  6, Batch   1274, Loss  0.866311, Average Loss  0.868833, Time  0.268676
2021-09-11 18:23:03.918804 : Epoch  6, Batch   2773, Loss  0.859264, Average Loss  0.869888, Time  0.173408
2021-09-11 18:23:05.522846 : Epoch  6, Batch   2774, Loss  0.856092, Average Loss  0.869917, Time  0.172937
2021-09-11 18:23:07.104034 : Epoch  6, Batch   2775, Loss  0.873240, Average Loss  0.870024, Time  0.171839
2021-09-11 18:23:08.684035 : Epoch  6, Batch   2776, Loss  0.826009, Average Loss  0.869767, Time  0.172172
2021-09-11 18:23:10.248988 : Epoch  6, Batch   1275, Loss  0.856642, Average Loss  0.868774, Time  0.464170
2021-09-11 18:23:10.281027 : Epoch  6, Batch   2777, Loss  0.886511, Average Loss  0.869795, Time  0.170178
2021-09-11 18:23:11.884025 : Epoch  6, Batch   2778, Loss  0.904156, Average Loss  0.869956, Time  0.169988
2021-09-11 18:23:12.884357 : Epoch  6, Batch   1276, Loss  0.881451, Average Loss  0.868765, Time  0.255969
2021-09-11 18:23:13.481846 : Epoch  6, Batch   2779, Loss  0.854722, Average Loss  0.870092, Time  0.170588
2021-09-11 18:23:15.078747 : Epoch  6, Batch   2780, Loss  0.865336, Average Loss  0.870211, Time  0.170396
2021-09-11 18:23:16.680014 : Epoch  6, Batch   2781, Loss  0.829105, Average Loss  0.870139, Time  0.172179
2021-09-11 18:23:18.195386 : Epoch  6, Batch   1277, Loss  0.865189, Average Loss  0.868733, Time  0.290169
2021-09-11 18:23:18.273842 : Epoch  6, Batch   2782, Loss  0.877095, Average Loss  0.870128, Time  0.172563
2021-09-11 18:23:19.900778 : Epoch  6, Batch   2783, Loss  0.862709, Average Loss  0.870101, Time  0.169870
2021-09-11 18:23:21.491003 : Epoch  6, Batch   2784, Loss  0.864848, Average Loss  0.870158, Time  0.169905
2021-09-11 18:23:23.089831 : Epoch  6, Batch   2785, Loss  0.868997, Average Loss  0.870004, Time  0.169687
2021-09-11 18:23:24.257716 : Epoch  6, Batch   1278, Loss  0.875317, Average Loss  0.868724, Time  0.254752
2021-09-11 18:23:24.696794 : Epoch  6, Batch   2786, Loss  0.857199, Average Loss  0.870012, Time  0.169777
2021-09-11 18:23:26.299855 : Epoch  6, Batch   2787, Loss  0.856655, Average Loss  0.869904, Time  0.169865
2021-09-11 18:23:27.911995 : Epoch  6, Batch   2788, Loss  0.848420, Average Loss  0.869722, Time  0.169397
2021-09-11 18:23:29.089696 : Epoch  6, Batch   1279, Loss  0.844272, Average Loss  0.868691, Time  0.362387
2021-09-11 18:23:29.504757 : Epoch  6, Batch   2789, Loss  0.851885, Average Loss  0.869744, Time  0.169672
2021-09-11 18:23:31.101830 : Epoch  6, Batch   2790, Loss  0.857050, Average Loss  0.869670, Time  0.169449
2021-09-11 18:23:32.688769 : Epoch  6, Batch   2791, Loss  0.859800, Average Loss  0.869485, Time  0.169724
2021-09-11 18:23:34.294030 : Epoch  6, Batch   2792, Loss  0.874407, Average Loss  0.869501, Time  0.171254
2021-09-11 18:23:34.884008 : Epoch  6, Batch   1280, Loss  0.848409, Average Loss  0.868594, Time  0.366095
2021-09-11 18:23:35.904878 : Epoch  6, Batch   2793, Loss  0.871411, Average Loss  0.869500, Time  0.173400
2021-09-11 18:23:37.506016 : Epoch  6, Batch   2794, Loss  0.854380, Average Loss  0.869354, Time  0.170914
2021-09-11 18:23:39.143933 : Epoch  6, Batch   2795, Loss  0.874462, Average Loss  0.869267, Time  0.204973
2021-09-11 18:23:40.737030 : Epoch  6, Batch   2796, Loss  0.841853, Average Loss  0.869050, Time  0.175335
2021-09-11 18:23:41.642226 : Epoch  6, Batch   1281, Loss  0.872947, Average Loss  0.868654, Time  0.354376
2021-09-11 18:23:42.349033 : Epoch  6, Batch   2797, Loss  0.857607, Average Loss  0.869002, Time  0.169924
2021-09-11 18:23:43.973742 : Epoch  6, Batch   2798, Loss  0.852108, Average Loss  0.868922, Time  0.176948
2021-09-11 18:23:45.558754 : Epoch  6, Batch   2799, Loss  0.873126, Average Loss  0.868976, Time  0.170028
2021-09-11 18:23:47.155026 : Epoch  6, Batch   2800, Loss  0.841596, Average Loss  0.868820, Time  0.170012
2021-09-11 18:23:47.559006 : Epoch  6, Batch   1282, Loss  0.864226, Average Loss  0.868628, Time  0.277674
2021-09-11 18:23:48.738932 : Epoch  6, Batch   2801, Loss  0.883993, Average Loss  0.868984, Time  0.170125
2021-09-11 18:23:50.340004 : Epoch  6, Batch   2802, Loss  0.844828, Average Loss  0.868912, Time  0.172431
2021-09-11 18:23:51.914017 : Epoch  6, Batch   2803, Loss  0.851022, Average Loss  0.868762, Time  0.169951
2021-09-11 18:23:52.178104 : Epoch  6, Batch   1283, Loss  0.858771, Average Loss  0.868498, Time  0.258770
2021-09-11 18:23:53.491819 : Epoch  6, Batch   2804, Loss  0.854708, Average Loss  0.868885, Time  0.170178
2021-09-11 18:23:55.072785 : Epoch  6, Batch   2805, Loss  0.885639, Average Loss  0.868943, Time  0.171965
2021-09-11 18:23:56.670027 : Epoch  6, Batch   2806, Loss  0.832129, Average Loss  0.868709, Time  0.173874
2021-09-11 18:23:57.561116 : Epoch  6, Batch   1284, Loss  0.867615, Average Loss  0.868558, Time  0.273749
2021-09-11 18:23:58.268814 : Epoch  6, Batch   2807, Loss  0.830882, Average Loss  0.868433, Time  0.173063
2021-09-11 18:23:59.870029 : Epoch  6, Batch   2808, Loss  0.903507, Average Loss  0.868522, Time  0.170620
2021-09-11 18:24:01.468950 : Epoch  6, Batch   2809, Loss  0.905305, Average Loss  0.868853, Time  0.169756
2021-09-11 18:24:02.164243 : Epoch  6, Batch   1285, Loss  0.866944, Average Loss  0.868509, Time  0.325494
2021-09-11 18:24:03.081890 : Epoch  6, Batch   2810, Loss  0.907847, Average Loss  0.869113, Time  0.175102
2021-09-11 18:24:04.685025 : Epoch  6, Batch   2811, Loss  0.852883, Average Loss  0.869097, Time  0.173152
2021-09-11 18:24:04.787961 : Epoch  6, Batch   1286, Loss  0.855009, Average Loss  0.868413, Time  0.250698
2021-09-11 18:24:06.287780 : Epoch  6, Batch   2812, Loss  0.858543, Average Loss  0.868905, Time  0.170599
2021-09-11 18:24:07.893963 : Epoch  6, Batch   2813, Loss  0.866616, Average Loss  0.868984, Time  0.172935
2021-09-11 18:24:09.493031 : Epoch  6, Batch   2814, Loss  0.889749, Average Loss  0.868984, Time  0.172629
2021-09-11 18:24:11.093826 : Epoch  6, Batch   2815, Loss  0.853467, Average Loss  0.868885, Time  0.175680
2021-09-11 18:24:11.893287 : Epoch  6, Batch   1287, Loss  0.869683, Average Loss  0.868426, Time  0.432869
2021-09-11 18:24:12.704835 : Epoch  6, Batch   2816, Loss  0.881445, Average Loss  0.868877, Time  0.173244
2021-09-11 18:24:14.308814 : Epoch  6, Batch   2817, Loss  0.865829, Average Loss  0.868820, Time  0.173207
2021-09-11 18:24:15.903780 : Epoch  6, Batch   2818, Loss  0.883020, Average Loss  0.868862, Time  0.181379
2021-09-11 18:24:17.487740 : Epoch  6, Batch   2819, Loss  0.861243, Average Loss  0.868729, Time  0.174543
2021-09-11 18:24:19.086747 : Epoch  6, Batch   2820, Loss  0.870146, Average Loss  0.868721, Time  0.169728
2021-09-11 18:24:19.476085 : Epoch  6, Batch   1288, Loss  0.864247, Average Loss  0.868349, Time  0.278149
2021-09-11 18:24:20.711055 : Epoch  6, Batch   2821, Loss  0.883815, Average Loss  0.868790, Time  0.180951
2021-09-11 18:24:22.326031 : Epoch  6, Batch   2822, Loss  0.848662, Average Loss  0.868675, Time  0.174115
2021-09-11 18:24:23.934827 : Epoch  6, Batch   2823, Loss  0.880163, Average Loss  0.868899, Time  0.172844
2021-09-11 18:24:25.519767 : Epoch  6, Batch   2824, Loss  0.864292, Average Loss  0.868873, Time  0.170086
2021-09-11 18:24:25.741690 : Epoch  6, Batch   1289, Loss  0.875376, Average Loss  0.868266, Time  0.256747
2021-09-11 18:24:27.121816 : Epoch  6, Batch   2825, Loss  0.892224, Average Loss  0.868947, Time  0.170352
2021-09-11 18:24:28.741034 : Epoch  6, Batch   2826, Loss  0.874814, Average Loss  0.868962, Time  0.172966
2021-09-11 18:24:30.369856 : Epoch  6, Batch   2827, Loss  0.882858, Average Loss  0.869160, Time  0.174008
2021-09-11 18:24:31.996791 : Epoch  6, Batch   2828, Loss  0.872081, Average Loss  0.869268, Time  0.178007
2021-09-11 18:24:32.472084 : Epoch  6, Batch   1290, Loss  0.866942, Average Loss  0.868340, Time  0.367075
2021-09-11 18:24:33.622020 : Epoch  6, Batch   2829, Loss  0.885474, Average Loss  0.869354, Time  0.179697
2021-09-11 18:24:35.228923 : Epoch  6, Batch   2830, Loss  0.882864, Average Loss  0.869530, Time  0.172247
2021-09-11 18:24:36.288265 : Epoch  6, Batch   1291, Loss  0.872236, Average Loss  0.868444, Time  0.239898
2021-09-11 18:24:36.822803 : Epoch  6, Batch   2831, Loss  0.877092, Average Loss  0.869455, Time  0.170253
2021-09-11 18:24:38.411839 : Epoch  6, Batch   2832, Loss  0.873514, Average Loss  0.869511, Time  0.175882
2021-09-11 18:24:40.031022 : Epoch  6, Batch   2833, Loss  0.862570, Average Loss  0.869599, Time  0.169888
2021-09-11 18:24:40.555582 : Epoch  6, Batch   1292, Loss  0.865884, Average Loss  0.868527, Time  0.274223
2021-09-11 18:24:41.650780 : Epoch  6, Batch   2834, Loss  0.879848, Average Loss  0.869675, Time  0.170060
2021-09-11 18:24:43.235890 : Epoch  6, Batch   2835, Loss  0.871344, Average Loss  0.869544, Time  0.175950
2021-09-11 18:24:44.873026 : Epoch  6, Batch   2836, Loss  0.871046, Average Loss  0.869419, Time  0.175897
2021-09-11 18:24:46.488031 : Epoch  6, Batch   2837, Loss  0.873290, Average Loss  0.869539, Time  0.170043
2021-09-11 18:24:46.822480 : Epoch  6, Batch   1293, Loss  0.868304, Average Loss  0.868491, Time  0.304407
2021-09-11 18:24:48.088027 : Epoch  6, Batch   2838, Loss  0.854125, Average Loss  0.869402, Time  0.177188
2021-09-11 18:24:49.713779 : Epoch  6, Batch   2839, Loss  0.883576, Average Loss  0.869552, Time  0.175411
2021-09-11 18:24:51.308768 : Epoch  6, Batch   2840, Loss  0.875798, Average Loss  0.869635, Time  0.174460
2021-09-11 18:24:52.716062 : Epoch  6, Batch   1294, Loss  0.865740, Average Loss  0.868510, Time  0.252007
2021-09-11 18:24:52.885466 : Epoch  6, Batch   2841, Loss  0.875318, Average Loss  0.869457, Time  0.170023
2021-09-11 18:24:54.460766 : Epoch  6, Batch   2842, Loss  0.864895, Average Loss  0.869432, Time  0.170677
2021-09-11 18:24:56.075863 : Epoch  6, Batch   2843, Loss  0.856946, Average Loss  0.869239, Time  0.170482
2021-09-11 18:24:57.695836 : Epoch  6, Batch   2844, Loss  0.868614, Average Loss  0.869171, Time  0.172650
2021-09-11 18:24:57.705831 : Epoch  6, Batch   1295, Loss  0.875401, Average Loss  0.868490, Time  0.253213
2021-09-11 18:24:59.302821 : Epoch  6, Batch   2845, Loss  0.872787, Average Loss  0.869100, Time  0.170598
2021-09-11 18:25:03.432767 : Epoch  6, Batch   1296, Loss  0.874280, Average Loss  0.868533, Time  0.271591
2021-09-11 18:25:07.277956 : Epoch  6, Batch   1297, Loss  0.887537, Average Loss  0.868731, Time  0.273501
2021-09-11 18:25:12.357883 : Epoch  6, Batch   1298, Loss  0.875958, Average Loss  0.868706, Time  0.242158
2021-09-11 18:25:18.941792 : Epoch  6, Batch   1299, Loss  0.880881, Average Loss  0.868692, Time  0.315033
2021-09-11 18:25:22.078473 : Epoch  6, Batch   1300, Loss  0.877041, Average Loss  0.868708, Time  0.333068
2021-09-11 18:25:30.329974 : Epoch  6, Batch   1301, Loss  0.875494, Average Loss  0.868711, Time  0.298797
2021-09-11 18:25:35.943799 : Epoch  6, Batch   1302, Loss  0.862928, Average Loss  0.868620, Time  0.314484
2021-09-11 18:25:43.546283 : Epoch  6, Batch   1303, Loss  0.858358, Average Loss  0.868671, Time  0.389539
2021-09-11 18:25:50.743328 : Epoch  6, Batch   1304, Loss  0.871761, Average Loss  0.868608, Time  0.394031
2021-09-11 18:25:57.513199 : Epoch  6, Batch   1305, Loss  0.870712, Average Loss  0.868633, Time  0.346315
2021-09-11 18:26:05.054337 : Epoch  6, Batch   1306, Loss  0.861741, Average Loss  0.868509, Time  0.395066
2021-09-11 18:26:09.447956 : Epoch  6, Batch   1307, Loss  0.823383, Average Loss  0.868243, Time  0.391325
2021-09-11 18:26:15.537321 : Epoch  6, Batch   1308, Loss  0.860496, Average Loss  0.868137, Time  0.284435
2021-09-11 18:26:21.419281 : Epoch  6, Batch   1309, Loss  0.852615, Average Loss  0.868035, Time  0.447863
2021-09-11 18:26:26.648791 : Epoch  6, Batch   1310, Loss  0.862716, Average Loss  0.867974, Time  0.277434
2021-09-11 18:26:32.734490 : Epoch  6, Batch   1311, Loss  0.861122, Average Loss  0.867958, Time  0.276958
2021-09-11 18:26:38.205779 : Epoch  6, Batch   1312, Loss  0.858998, Average Loss  0.867937, Time  0.445361
2021-09-11 18:26:43.805767 : Epoch  6, Batch   1313, Loss  0.853434, Average Loss  0.867807, Time  0.378034
2021-09-11 18:26:50.105752 : Epoch  6, Batch   1314, Loss  0.873179, Average Loss  0.867816, Time  0.388859
2021-09-11 18:26:56.568055 : Epoch  6, Batch   1315, Loss  0.898646, Average Loss  0.867952, Time  0.345365
2021-09-11 18:27:02.195369 : Epoch  6, Batch   1316, Loss  0.876292, Average Loss  0.867983, Time  0.360509
2021-09-11 18:27:04.996821 : Epoch  6, Batch   1317, Loss  0.853770, Average Loss  0.867910, Time  0.287991
2021-09-11 18:27:10.270287 : Epoch  6, Batch   1318, Loss  0.858294, Average Loss  0.867901, Time  0.270123
2021-09-11 18:27:16.099803 : Epoch  6, Batch   1319, Loss  0.875282, Average Loss  0.867888, Time  0.296472
2021-09-11 18:27:20.044417 : Epoch  6, Batch   1320, Loss  0.876427, Average Loss  0.867854, Time  0.239334
2021-09-11 18:29:38.760784 : CheckPoint: Validation Loss  0.00061778, Best Loss  0.00057296
2021-09-11 18:29:40.395914 : Epoch  6, Batch   2846, Loss  0.870319, Average Loss  0.869126, Time  0.177766
2021-09-11 18:29:41.974055 : Epoch  6, Batch   2847, Loss  0.894936, Average Loss  0.869356, Time  0.173498
2021-09-11 18:29:43.612006 : Epoch  6, Batch   2848, Loss  0.866721, Average Loss  0.869285, Time  0.170353
2021-09-11 18:29:45.215025 : Epoch  6, Batch   2849, Loss  0.874566, Average Loss  0.869343, Time  0.171108
2021-09-11 18:29:46.816865 : Epoch  6, Batch   2850, Loss  0.893246, Average Loss  0.869314, Time  0.171452
2021-09-11 18:29:48.418060 : Epoch  6, Batch   2851, Loss  0.857677, Average Loss  0.869145, Time  0.177664
2021-09-11 18:29:50.034039 : Epoch  6, Batch   2852, Loss  0.872995, Average Loss  0.869144, Time  0.170901
2021-09-11 18:29:51.641026 : Epoch  6, Batch   2853, Loss  0.900929, Average Loss  0.869444, Time  0.170076
2021-09-11 18:29:53.240021 : Epoch  6, Batch   2854, Loss  0.886209, Average Loss  0.869481, Time  0.173069
2021-09-11 18:29:54.846040 : Epoch  6, Batch   2855, Loss  0.837699, Average Loss  0.869226, Time  0.173599
2021-09-11 18:29:56.458803 : Epoch  6, Batch   2856, Loss  0.873141, Average Loss  0.869315, Time  0.174030
2021-09-11 18:29:58.061030 : Epoch  6, Batch   2857, Loss  0.867869, Average Loss  0.869276, Time  0.171571
2021-09-11 18:29:59.679788 : Epoch  6, Batch   2858, Loss  0.887674, Average Loss  0.869413, Time  0.170217
2021-09-11 18:30:01.298828 : Epoch  6, Batch   2859, Loss  0.878506, Average Loss  0.869278, Time  0.173305
2021-09-11 18:30:02.917871 : Epoch  6, Batch   2860, Loss  0.874390, Average Loss  0.869248, Time  0.176541
2021-09-11 18:30:04.533143 : Epoch  6, Batch   2861, Loss  0.830741, Average Loss  0.868924, Time  0.170403
2021-09-11 18:30:06.169895 : Epoch  6, Batch   2862, Loss  0.878832, Average Loss  0.869013, Time  0.181217
2021-09-11 18:30:07.808062 : Epoch  6, Batch   2863, Loss  0.851400, Average Loss  0.868736, Time  0.174799
2021-09-11 18:30:09.421045 : Epoch  6, Batch   2864, Loss  0.847190, Average Loss  0.868805, Time  0.170503
2021-09-11 18:30:11.036055 : Epoch  6, Batch   2865, Loss  0.891222, Average Loss  0.868787, Time  0.174201
2021-09-11 18:30:12.631830 : Epoch  6, Batch   2866, Loss  0.853907, Average Loss  0.868682, Time  0.170996
2021-09-11 18:30:14.288042 : Epoch  6, Batch   2867, Loss  0.863221, Average Loss  0.868616, Time  0.176963
2021-09-11 18:30:15.918032 : Epoch  6, Batch   2868, Loss  0.866092, Average Loss  0.868677, Time  0.188045
2021-09-11 18:30:17.534034 : Epoch  6, Batch   2869, Loss  0.862889, Average Loss  0.868484, Time  0.172881
2021-09-11 18:30:19.131515 : Epoch  6, Batch   2870, Loss  0.858523, Average Loss  0.868304, Time  0.169780
2021-09-11 18:30:20.712782 : Epoch  6, Batch   2871, Loss  0.887280, Average Loss  0.868491, Time  0.178205
2021-09-11 18:30:22.296029 : Epoch  6, Batch   2872, Loss  0.866201, Average Loss  0.868301, Time  0.171318
2021-09-11 18:30:23.913025 : Epoch  6, Batch   2873, Loss  0.874496, Average Loss  0.868329, Time  0.169982
2021-09-11 18:30:25.523883 : Epoch  6, Batch   2874, Loss  0.873683, Average Loss  0.868456, Time  0.172188
2021-09-11 18:30:27.128035 : Epoch  6, Batch   2875, Loss  0.873044, Average Loss  0.868443, Time  0.173862
2021-09-11 18:30:28.722772 : Epoch  6, Batch   2876, Loss  0.880430, Average Loss  0.868435, Time  0.169845
2021-09-11 18:30:30.320030 : Epoch  6, Batch   2877, Loss  0.862495, Average Loss  0.868590, Time  0.176208
2021-09-11 18:30:31.917029 : Epoch  6, Batch   2878, Loss  0.858462, Average Loss  0.868550, Time  0.172225
2021-09-11 18:30:33.532042 : Epoch  6, Batch   2879, Loss  0.874245, Average Loss  0.868374, Time  0.172092
2021-09-11 18:30:35.133025 : Epoch  6, Batch   2880, Loss  0.876236, Average Loss  0.868384, Time  0.169925
2021-09-11 18:30:36.733025 : Epoch  6, Batch   2881, Loss  0.876371, Average Loss  0.868333, Time  0.171604
2021-09-11 18:30:38.324880 : Epoch  6, Batch   2882, Loss  0.881911, Average Loss  0.868349, Time  0.170519
2021-09-11 18:30:39.964023 : Epoch  6, Batch   2883, Loss  0.830907, Average Loss  0.868128, Time  0.172526
2021-09-11 18:30:41.552028 : Epoch  6, Batch   2884, Loss  0.900041, Average Loss  0.868249, Time  0.169916
2021-09-11 18:30:43.148032 : Epoch  6, Batch   2885, Loss  0.854482, Average Loss  0.868307, Time  0.170287
2021-09-11 18:30:44.764025 : Epoch  6, Batch   2886, Loss  0.863814, Average Loss  0.868384, Time  0.182871
2021-09-11 18:30:46.382032 : Epoch  6, Batch   2887, Loss  0.878267, Average Loss  0.868470, Time  0.170257
2021-09-11 18:30:48.011764 : Epoch  6, Batch   2888, Loss  0.872475, Average Loss  0.868450, Time  0.172286
2021-09-11 18:30:49.618031 : Epoch  6, Batch   2889, Loss  0.884136, Average Loss  0.868445, Time  0.178725
2021-09-11 18:30:51.227064 : Epoch  6, Batch   2890, Loss  0.878263, Average Loss  0.868484, Time  0.171263
2021-09-11 18:30:52.821789 : Epoch  6, Batch   2891, Loss  0.864148, Average Loss  0.868513, Time  0.172380
2021-09-11 18:30:54.446024 : Epoch  6, Batch   2892, Loss  0.856625, Average Loss  0.868539, Time  0.178677
2021-09-11 18:30:56.067040 : Epoch  6, Batch   2893, Loss  0.898077, Average Loss  0.868667, Time  0.170086
2021-09-11 18:30:57.678813 : Epoch  6, Batch   2894, Loss  0.870035, Average Loss  0.868545, Time  0.169639
2021-09-11 18:30:59.258034 : Epoch  6, Batch   2895, Loss  0.853551, Average Loss  0.868322, Time  0.176975
2021-09-11 18:31:00.886045 : Epoch  6, Batch   2896, Loss  0.886936, Average Loss  0.868504, Time  0.174060
2021-09-11 18:31:02.491773 : Epoch  6, Batch   2897, Loss  0.867576, Average Loss  0.868507, Time  0.169838
2021-09-11 18:31:04.098742 : Epoch  6, Batch   2898, Loss  0.863072, Average Loss  0.868458, Time  0.170123
2021-09-11 18:31:05.704842 : Epoch  6, Batch   2899, Loss  0.851530, Average Loss  0.868536, Time  0.171504
2021-09-11 18:31:07.302028 : Epoch  6, Batch   2900, Loss  0.876759, Average Loss  0.868605, Time  0.172363
2021-09-11 18:31:08.908844 : Epoch  6, Batch   2901, Loss  0.859950, Average Loss  0.868624, Time  0.170099
2021-09-11 18:31:10.517776 : Epoch  6, Batch   2902, Loss  0.862667, Average Loss  0.868644, Time  0.169950
2021-09-11 18:31:12.127022 : Epoch  6, Batch   2903, Loss  0.883025, Average Loss  0.868750, Time  0.171547
2021-09-11 18:31:13.729793 : Epoch  6, Batch   2904, Loss  0.881205, Average Loss  0.868872, Time  0.177647
2021-09-11 18:31:15.348029 : Epoch  6, Batch   2905, Loss  0.841700, Average Loss  0.868809, Time  0.174385
2021-09-11 18:31:16.948874 : Epoch  6, Batch   2906, Loss  0.847001, Average Loss  0.868752, Time  0.171613
2021-09-11 18:31:18.541027 : Epoch  6, Batch   2907, Loss  0.876950, Average Loss  0.868806, Time  0.173020
2021-09-11 18:31:20.127772 : Epoch  6, Batch   2908, Loss  0.904546, Average Loss  0.868961, Time  0.170055
2021-09-11 18:31:21.727033 : Epoch  6, Batch   2909, Loss  0.861585, Average Loss  0.868961, Time  0.174248
2021-09-11 18:31:23.367030 : Epoch  6, Batch   2910, Loss  0.856242, Average Loss  0.868932, Time  0.172377
2021-09-11 18:31:24.970026 : Epoch  6, Batch   2911, Loss  0.904643, Average Loss  0.869148, Time  0.171220
2021-09-11 18:31:26.575853 : Epoch  6, Batch   2912, Loss  0.886973, Average Loss  0.869221, Time  0.171403
2021-09-11 18:31:28.167032 : Epoch  6, Batch   2913, Loss  0.876903, Average Loss  0.869169, Time  0.169951
2021-09-11 18:31:29.763818 : Epoch  6, Batch   2914, Loss  0.874784, Average Loss  0.869197, Time  0.174309
2021-09-11 18:31:31.367835 : Epoch  6, Batch   2915, Loss  0.907734, Average Loss  0.869384, Time  0.173458
2021-09-11 18:31:32.949034 : Epoch  6, Batch   2916, Loss  0.881307, Average Loss  0.869271, Time  0.171009
2021-09-11 18:31:34.536029 : Epoch  6, Batch   2917, Loss  0.872582, Average Loss  0.869391, Time  0.169989
2021-09-11 18:31:36.165035 : Epoch  6, Batch   2918, Loss  0.884422, Average Loss  0.869310, Time  0.174143
2021-09-11 18:31:37.770761 : Epoch  6, Batch   2919, Loss  0.859163, Average Loss  0.869244, Time  0.171924
2021-09-11 18:31:39.366754 : Epoch  6, Batch   2920, Loss  0.876948, Average Loss  0.869184, Time  0.178808
2021-09-11 18:31:40.976330 : Epoch  6, Batch   2921, Loss  0.871309, Average Loss  0.869077, Time  0.172082
2021-09-11 18:31:42.572897 : Epoch  6, Batch   2922, Loss  0.856684, Average Loss  0.869105, Time  0.177210
2021-09-11 18:31:44.145780 : Epoch  6, Batch   2923, Loss  0.846244, Average Loss  0.868896, Time  0.170073
2021-09-11 18:31:45.778851 : Epoch  6, Batch   2924, Loss  0.847768, Average Loss  0.868945, Time  0.170111
2021-09-11 18:31:47.413806 : Epoch  6, Batch   2925, Loss  0.868412, Average Loss  0.869136, Time  0.176373
2021-09-11 18:31:49.036031 : Epoch  6, Batch   2926, Loss  0.876739, Average Loss  0.869122, Time  0.170168
2021-09-11 18:31:50.651031 : Epoch  6, Batch   2927, Loss  0.893012, Average Loss  0.869177, Time  0.175123
2021-09-11 18:31:52.249027 : Epoch  6, Batch   2928, Loss  0.849819, Average Loss  0.869083, Time  0.171588
2021-09-11 18:31:53.858030 : Epoch  6, Batch   2929, Loss  0.858338, Average Loss  0.869154, Time  0.171206
2021-09-11 18:31:55.454879 : Epoch  6, Batch   2930, Loss  0.849845, Average Loss  0.869049, Time  0.170397
2021-09-11 18:31:57.044842 : Epoch  6, Batch   2931, Loss  0.845061, Average Loss  0.868880, Time  0.169940
2021-09-11 18:31:58.663828 : Epoch  6, Batch   2932, Loss  0.844680, Average Loss  0.868703, Time  0.170916
2021-09-11 18:32:00.261021 : Epoch  6, Batch   2933, Loss  0.863203, Average Loss  0.868744, Time  0.169912
2021-09-11 18:32:01.862762 : Epoch  6, Batch   2934, Loss  0.884654, Average Loss  0.868841, Time  0.176452
2021-09-11 18:32:03.483034 : Epoch  6, Batch   2935, Loss  0.867271, Average Loss  0.868728, Time  0.174752
2021-09-11 18:32:05.090031 : Epoch  6, Batch   2936, Loss  0.843601, Average Loss  0.868500, Time  0.170873
2021-09-11 18:32:06.697030 : Epoch  6, Batch   2937, Loss  0.893297, Average Loss  0.868710, Time  0.173819
2021-09-11 18:32:08.301026 : Epoch  6, Batch   2938, Loss  0.859703, Average Loss  0.868695, Time  0.170086
2021-09-11 18:32:09.921028 : Epoch  6, Batch   2939, Loss  0.873706, Average Loss  0.868692, Time  0.181983
2021-09-11 18:32:11.537947 : Epoch  6, Batch   2940, Loss  0.839693, Average Loss  0.868629, Time  0.171629
2021-09-11 18:32:13.133036 : Epoch  6, Batch   2941, Loss  0.853427, Average Loss  0.868569, Time  0.176524
2021-09-11 18:32:14.724022 : Epoch  6, Batch   2942, Loss  0.872907, Average Loss  0.868624, Time  0.172553
2021-09-11 18:32:16.332762 : Epoch  6, Batch   2943, Loss  0.887464, Average Loss  0.868810, Time  0.171219
2021-09-11 18:32:17.950053 : Epoch  6, Batch   2944, Loss  0.861056, Average Loss  0.868686, Time  0.169985
2021-09-11 18:32:19.571854 : Epoch  6, Batch   2945, Loss  0.895481, Average Loss  0.868737, Time  0.175833
2021-09-11 18:35:32.910890 : CheckPoint: Validation Loss  0.00030971, Best Loss  0.00029019
2021-09-11 18:35:37.608810 : Epoch  6, Batch   1321, Loss  0.861427, Average Loss  0.867834, Time  0.270320
2021-09-11 18:35:41.442378 : Epoch  6, Batch   1322, Loss  0.883658, Average Loss  0.867903, Time  0.247161
2021-09-11 18:35:46.110987 : Epoch  6, Batch   1323, Loss  0.869730, Average Loss  0.867888, Time  0.288468
2021-09-11 18:35:52.650618 : Epoch  6, Batch   1324, Loss  0.842695, Average Loss  0.867755, Time  0.317696
2021-09-11 18:35:58.774227 : Epoch  6, Batch   1325, Loss  0.861301, Average Loss  0.867744, Time  0.293655
2021-09-11 18:36:06.363855 : Epoch  6, Batch   1326, Loss  0.865816, Average Loss  0.867695, Time  0.298326
2021-09-11 18:36:11.563756 : Epoch  6, Batch   1327, Loss  0.896088, Average Loss  0.867840, Time  0.376178
2021-09-11 18:36:16.325021 : Epoch  6, Batch   1328, Loss  0.872603, Average Loss  0.867836, Time  0.259856
2021-09-11 18:36:21.276219 : Epoch  6, Batch   1329, Loss  0.883234, Average Loss  0.867917, Time  0.564861
2021-09-11 18:36:25.894934 : Epoch  6, Batch   1330, Loss  0.865062, Average Loss  0.867999, Time  0.307246
2021-09-11 18:36:32.036740 : Epoch  6, Batch   1331, Loss  0.895386, Average Loss  0.868205, Time  0.332738
2021-09-11 18:36:38.401067 : Epoch  6, Batch   1332, Loss  0.869152, Average Loss  0.868295, Time  0.367460
2021-09-11 18:36:43.983838 : Epoch  6, Batch   1333, Loss  0.852411, Average Loss  0.868250, Time  0.274619
2021-09-11 18:36:52.548583 : Epoch  6, Batch   1334, Loss  0.858041, Average Loss  0.868197, Time  0.311177
2021-09-11 18:36:58.840220 : Epoch  6, Batch   1335, Loss  0.868715, Average Loss  0.868259, Time  0.240275
2021-09-11 18:37:00.215711 : CheckPoint: Validation Loss  0.00059151, Best Loss  0.00057296
2021-09-11 18:37:01.812948 : Epoch  6, Batch   2946, Loss  0.890085, Average Loss  0.868813, Time  0.177211
2021-09-11 18:37:03.415989 : Epoch  6, Batch   2947, Loss  0.898244, Average Loss  0.868987, Time  0.170563
2021-09-11 18:37:05.052737 : Epoch  6, Batch   2948, Loss  0.886631, Average Loss  0.869033, Time  0.176913
2021-09-11 18:37:05.135602 : Epoch  6, Batch   1336, Loss  0.897880, Average Loss  0.868414, Time  0.299429
2021-09-11 18:37:06.650019 : Epoch  6, Batch   2949, Loss  0.873931, Average Loss  0.869067, Time  0.174843
2021-09-11 18:37:08.255016 : Epoch  6, Batch   2950, Loss  0.878838, Average Loss  0.869076, Time  0.171118
2021-09-11 18:37:09.875028 : Epoch  6, Batch   2951, Loss  0.872310, Average Loss  0.869016, Time  0.170877
2021-09-11 18:37:10.802043 : Epoch  6, Batch   1337, Loss  0.898792, Average Loss  0.868597, Time  0.498344
2021-09-11 18:37:11.476818 : Epoch  6, Batch   2952, Loss  0.876000, Average Loss  0.869027, Time  0.170324
2021-09-11 18:37:13.110029 : Epoch  6, Batch   2953, Loss  0.882308, Average Loss  0.869015, Time  0.176885
2021-09-11 18:37:14.723015 : Epoch  6, Batch   2954, Loss  0.888228, Average Loss  0.868968, Time  0.170070
2021-09-11 18:37:16.333030 : Epoch  6, Batch   2955, Loss  0.849514, Average Loss  0.868943, Time  0.175991
2021-09-11 18:37:16.764448 : Epoch  6, Batch   1338, Loss  0.887011, Average Loss  0.868587, Time  0.413356
2021-09-11 18:37:17.942781 : Epoch  6, Batch   2956, Loss  0.901665, Average Loss  0.869129, Time  0.170796
2021-09-11 18:37:19.543734 : Epoch  6, Batch   2957, Loss  0.873962, Average Loss  0.869176, Time  0.170880
2021-09-11 18:37:21.173033 : Epoch  6, Batch   2958, Loss  0.889309, Average Loss  0.869128, Time  0.169986
2021-09-11 18:37:22.778739 : Epoch  6, Batch   2959, Loss  0.838625, Average Loss  0.868971, Time  0.170110
2021-09-11 18:37:23.261874 : Epoch  6, Batch   1339, Loss  0.847136, Average Loss  0.868335, Time  0.339257
2021-09-11 18:37:24.384031 : Epoch  6, Batch   2960, Loss  0.876949, Average Loss  0.868974, Time  0.179733
2021-09-11 18:37:26.001039 : Epoch  6, Batch   2961, Loss  0.869460, Average Loss  0.869063, Time  0.170027
2021-09-11 18:37:27.592829 : Epoch  6, Batch   2962, Loss  0.886150, Average Loss  0.869162, Time  0.171240
2021-09-11 18:37:29.200006 : Epoch  6, Batch   2963, Loss  0.832008, Average Loss  0.869007, Time  0.169772
2021-09-11 18:37:29.895878 : Epoch  6, Batch   1340, Loss  0.877402, Average Loss  0.868341, Time  0.260442
2021-09-11 18:37:30.807999 : Epoch  6, Batch   2964, Loss  0.849146, Average Loss  0.868866, Time  0.169825
2021-09-11 18:37:32.416995 : Epoch  6, Batch   2965, Loss  0.886824, Average Loss  0.868877, Time  0.169741
2021-09-11 18:37:34.040373 : Epoch  6, Batch   2966, Loss  0.846281, Average Loss  0.868796, Time  0.169864
2021-09-11 18:37:34.157888 : Epoch  6, Batch   1341, Loss  0.874895, Average Loss  0.868373, Time  0.365343
2021-09-11 18:37:35.643859 : Epoch  6, Batch   2967, Loss  0.865590, Average Loss  0.868871, Time  0.173899
2021-09-11 18:37:37.233027 : Epoch  6, Batch   2968, Loss  0.886411, Average Loss  0.868923, Time  0.169859
2021-09-11 18:37:38.840014 : Epoch  6, Batch   2969, Loss  0.856339, Average Loss  0.869029, Time  0.169833
2021-09-11 18:37:40.255689 : Epoch  6, Batch   1342, Loss  0.868045, Average Loss  0.868394, Time  0.480475
2021-09-11 18:37:40.433000 : Epoch  6, Batch   2970, Loss  0.879264, Average Loss  0.869207, Time  0.169625
2021-09-11 18:37:42.035000 : Epoch  6, Batch   2971, Loss  0.863112, Average Loss  0.869205, Time  0.169800
2021-09-11 18:37:43.636999 : Epoch  6, Batch   2972, Loss  0.835977, Average Loss  0.869121, Time  0.169611
2021-09-11 18:37:45.272999 : Epoch  6, Batch   2973, Loss  0.903745, Average Loss  0.869343, Time  0.169710
2021-09-11 18:37:45.896213 : Epoch  6, Batch   1343, Loss  0.862025, Average Loss  0.868382, Time  0.239953
2021-09-11 18:37:46.882805 : Epoch  6, Batch   2974, Loss  0.880597, Average Loss  0.869466, Time  0.169985
2021-09-11 18:37:48.478750 : Epoch  6, Batch   2975, Loss  0.880840, Average Loss  0.869504, Time  0.169727
2021-09-11 18:37:50.078001 : Epoch  6, Batch   2976, Loss  0.867393, Average Loss  0.869711, Time  0.169983
2021-09-11 18:37:51.235073 : Epoch  6, Batch   1344, Loss  0.851059, Average Loss  0.868284, Time  0.349368
2021-09-11 18:37:51.676995 : Epoch  6, Batch   2977, Loss  0.885127, Average Loss  0.869704, Time  0.169701
2021-09-11 18:37:53.271774 : Epoch  6, Batch   2978, Loss  0.841531, Average Loss  0.869391, Time  0.169760
2021-09-11 18:37:54.869094 : Epoch  6, Batch   2979, Loss  0.873318, Average Loss  0.869484, Time  0.169867
2021-09-11 18:37:56.475028 : Epoch  6, Batch   2980, Loss  0.871991, Average Loss  0.869517, Time  0.171329
2021-09-11 18:37:56.972897 : Epoch  6, Batch   1345, Loss  0.872524, Average Loss  0.868340, Time  0.314986
2021-09-11 18:37:58.073761 : Epoch  6, Batch   2981, Loss  0.892452, Average Loss  0.869834, Time  0.171897
2021-09-11 18:37:59.658219 : Epoch  6, Batch   2982, Loss  0.870155, Average Loss  0.869799, Time  0.172377
2021-09-11 18:38:01.283191 : Epoch  6, Batch   2983, Loss  0.874539, Average Loss  0.869858, Time  0.169760
2021-09-11 18:38:02.901008 : Epoch  6, Batch   2984, Loss  0.890446, Average Loss  0.869986, Time  0.169754
2021-09-11 18:38:03.864904 : Epoch  6, Batch   1346, Loss  0.861009, Average Loss  0.868303, Time  0.315603
2021-09-11 18:38:04.510983 : Epoch  6, Batch   2985, Loss  0.857045, Average Loss  0.869926, Time  0.169730
2021-09-11 18:38:06.115908 : Epoch  6, Batch   2986, Loss  0.856249, Average Loss  0.869922, Time  0.172611
2021-09-11 18:38:07.720826 : Epoch  6, Batch   2987, Loss  0.871142, Average Loss  0.869994, Time  0.171861
2021-09-11 18:38:09.136826 : Epoch  6, Batch   1347, Loss  0.856144, Average Loss  0.868322, Time  0.308366
2021-09-11 18:38:09.342890 : Epoch  6, Batch   2988, Loss  0.850214, Average Loss  0.870003, Time  0.169630
2021-09-11 18:38:10.932990 : Epoch  6, Batch   2989, Loss  0.864088, Average Loss  0.870064, Time  0.169364
2021-09-11 18:38:12.550997 : Epoch  6, Batch   2990, Loss  0.871996, Average Loss  0.870139, Time  0.172162
2021-09-11 18:38:14.052138 : Epoch  6, Batch   1348, Loss  0.878329, Average Loss  0.868383, Time  0.323907
2021-09-11 18:38:14.162001 : Epoch  6, Batch   2991, Loss  0.873711, Average Loss  0.870208, Time  0.169840
2021-09-11 18:38:15.736994 : Epoch  6, Batch   2992, Loss  0.866004, Average Loss  0.870166, Time  0.171211
2021-09-11 18:38:17.313775 : Epoch  6, Batch   2993, Loss  0.881934, Average Loss  0.870219, Time  0.169571
2021-09-11 18:38:18.896992 : Epoch  6, Batch   2994, Loss  0.833193, Average Loss  0.870113, Time  0.169721
2021-09-11 18:38:19.717189 : Epoch  6, Batch   1349, Loss  0.878869, Average Loss  0.868511, Time  0.251908
2021-09-11 18:38:20.496914 : Epoch  6, Batch   2995, Loss  0.865648, Average Loss  0.870069, Time  0.169720
2021-09-11 18:38:22.104758 : Epoch  6, Batch   2996, Loss  0.878812, Average Loss  0.870254, Time  0.171940
2021-09-11 18:38:23.706780 : Epoch  6, Batch   2997, Loss  0.884891, Average Loss  0.870390, Time  0.169769
2021-09-11 18:38:25.329980 : Epoch  6, Batch   2998, Loss  0.887402, Average Loss  0.870566, Time  0.169786
2021-09-11 18:38:25.997068 : Epoch  6, Batch   1350, Loss  0.880347, Average Loss  0.868606, Time  0.430171
2021-09-11 18:38:26.935795 : Epoch  6, Batch   2999, Loss  0.857486, Average Loss  0.870488, Time  0.169749
2021-09-11 18:38:28.532777 : Epoch  6, Batch   3000, Loss  0.866666, Average Loss  0.870614, Time  0.169802
2021-09-11 18:38:30.141005 : Epoch  6, Batch   3001, Loss  0.861955, Average Loss  0.870503, Time  0.169540
2021-09-11 18:38:31.488549 : Epoch  6, Batch   1351, Loss  0.840641, Average Loss  0.868411, Time  0.240825
2021-09-11 18:38:31.755994 : Epoch  6, Batch   3002, Loss  0.836174, Average Loss  0.870460, Time  0.169780
2021-09-11 18:38:33.364745 : Epoch  6, Batch   3003, Loss  0.856030, Average Loss  0.870485, Time  0.169996
2021-09-11 18:38:34.968000 : Epoch  6, Batch   3004, Loss  0.856163, Average Loss  0.870492, Time  0.170034
2021-09-11 18:38:36.560010 : Epoch  6, Batch   3005, Loss  0.875445, Average Loss  0.870442, Time  0.169390
2021-09-11 18:38:37.034992 : Epoch  6, Batch   1352, Loss  0.866423, Average Loss  0.868374, Time  0.239432
2021-09-11 18:38:38.172748 : Epoch  6, Batch   3006, Loss  0.837586, Average Loss  0.870469, Time  0.169960
2021-09-11 18:38:39.773998 : Epoch  6, Batch   3007, Loss  0.897481, Average Loss  0.870802, Time  0.169630
2021-09-11 18:38:41.320235 : Epoch  6, Batch   1353, Loss  0.874275, Average Loss  0.868407, Time  0.242066
2021-09-11 18:38:41.372013 : Epoch  6, Batch   3008, Loss  0.829576, Average Loss  0.870432, Time  0.170086
2021-09-11 18:38:42.982850 : Epoch  6, Batch   3009, Loss  0.871248, Average Loss  0.870262, Time  0.169867
2021-09-11 18:38:44.599848 : Epoch  6, Batch   3010, Loss  0.866748, Average Loss  0.870056, Time  0.169757
2021-09-11 18:38:45.573343 : Epoch  6, Batch   1354, Loss  0.869981, Average Loss  0.868294, Time  0.278102
2021-09-11 18:38:46.197820 : Epoch  6, Batch   3011, Loss  0.871169, Average Loss  0.870148, Time  0.169670
2021-09-11 18:38:47.810787 : Epoch  6, Batch   3012, Loss  0.882425, Average Loss  0.870267, Time  0.169754
2021-09-11 18:38:48.862016 : Epoch  6, Batch   1355, Loss  0.871635, Average Loss  0.868337, Time  0.304119
2021-09-11 18:38:49.418727 : Epoch  6, Batch   3013, Loss  0.872222, Average Loss  0.870295, Time  0.169638
2021-09-11 18:38:51.036983 : Epoch  6, Batch   3014, Loss  0.845104, Average Loss  0.870072, Time  0.169729
2021-09-11 18:38:52.449466 : Epoch  6, Batch   1356, Loss  0.872160, Average Loss  0.868312, Time  0.344006
2021-09-11 18:38:52.626754 : Epoch  6, Batch   3015, Loss  0.848782, Average Loss  0.870049, Time  0.170308
2021-09-11 18:38:54.234036 : Epoch  6, Batch   3016, Loss  0.885993, Average Loss  0.870071, Time  0.169791
2021-09-11 18:38:55.858020 : Epoch  6, Batch   3017, Loss  0.853474, Average Loss  0.870010, Time  0.177102
2021-09-11 18:38:57.471740 : Epoch  6, Batch   3018, Loss  0.883930, Average Loss  0.870014, Time  0.170384
2021-09-11 18:38:58.873200 : Epoch  6, Batch   1357, Loss  0.881946, Average Loss  0.868343, Time  0.289051
2021-09-11 18:38:59.076821 : Epoch  6, Batch   3019, Loss  0.889233, Average Loss  0.870154, Time  0.171736
2021-09-11 18:39:00.665023 : Epoch  6, Batch   3020, Loss  0.871678, Average Loss  0.870162, Time  0.169834
2021-09-11 18:39:02.310842 : Epoch  6, Batch   3021, Loss  0.858037, Average Loss  0.870033, Time  0.172034
2021-09-11 18:39:03.927836 : Epoch  6, Batch   3022, Loss  0.875617, Average Loss  0.870168, Time  0.169875
2021-09-11 18:39:04.698013 : Epoch  6, Batch   1358, Loss  0.871811, Average Loss  0.868411, Time  0.343746
2021-09-11 18:39:05.533000 : Epoch  6, Batch   3023, Loss  0.877040, Average Loss  0.870152, Time  0.170246
2021-09-11 18:39:07.141769 : Epoch  6, Batch   3024, Loss  0.878242, Average Loss  0.870222, Time  0.169697
2021-09-11 18:39:08.742938 : Epoch  6, Batch   3025, Loss  0.862149, Average Loss  0.870071, Time  0.169800
2021-09-11 18:39:09.411416 : Epoch  6, Batch   1359, Loss  0.872426, Average Loss  0.868485, Time  0.242306
2021-09-11 18:39:10.332245 : Epoch  6, Batch   3026, Loss  0.848343, Average Loss  0.869939, Time  0.170028
2021-09-11 18:39:11.929773 : Epoch  6, Batch   3027, Loss  0.858165, Average Loss  0.869816, Time  0.170072
2021-09-11 18:39:13.534798 : Epoch  6, Batch   3028, Loss  0.838691, Average Loss  0.869649, Time  0.172254
2021-09-11 18:39:13.893750 : Epoch  6, Batch   1360, Loss  0.850322, Average Loss  0.868526, Time  0.432663
2021-09-11 18:39:15.134744 : Epoch  6, Batch   3029, Loss  0.861147, Average Loss  0.869527, Time  0.169555
2021-09-11 18:39:16.750765 : Epoch  6, Batch   3030, Loss  0.859167, Average Loss  0.869408, Time  0.172300
2021-09-11 18:39:18.363796 : Epoch  6, Batch   3031, Loss  0.849982, Average Loss  0.869273, Time  0.169679
2021-09-11 18:39:19.961998 : Epoch  6, Batch   3032, Loss  0.867872, Average Loss  0.869245, Time  0.172070
2021-09-11 18:39:20.023953 : Epoch  6, Batch   1361, Loss  0.857636, Average Loss  0.868495, Time  0.269922
2021-09-11 18:39:21.582983 : Epoch  6, Batch   3033, Loss  0.874670, Average Loss  0.869305, Time  0.170327
2021-09-11 18:39:23.191999 : Epoch  6, Batch   3034, Loss  0.856840, Average Loss  0.869190, Time  0.169554
2021-09-11 18:39:24.800852 : Epoch  6, Batch   3035, Loss  0.869902, Average Loss  0.869183, Time  0.171977
2021-09-11 18:39:25.260067 : Epoch  6, Batch   1362, Loss  0.882706, Average Loss  0.868692, Time  0.310498
2021-09-11 18:39:26.397997 : Epoch  6, Batch   3036, Loss  0.851671, Average Loss  0.869086, Time  0.169605
2021-09-11 18:39:28.021805 : Epoch  6, Batch   3037, Loss  0.848978, Average Loss  0.868965, Time  0.171939
2021-09-11 18:39:29.291014 : Epoch  6, Batch   1363, Loss  0.851442, Average Loss  0.868559, Time  0.261846
2021-09-11 18:39:29.654911 : Epoch  6, Batch   3038, Loss  0.850849, Average Loss  0.868948, Time  0.169906
2021-09-11 18:39:31.257766 : Epoch  6, Batch   3039, Loss  0.858200, Average Loss  0.868821, Time  0.169636
2021-09-11 18:39:32.886023 : Epoch  6, Batch   3040, Loss  0.872849, Average Loss  0.868807, Time  0.172933
2021-09-11 18:39:33.114747 : Epoch  6, Batch   1364, Loss  0.856392, Average Loss  0.868562, Time  0.295200
2021-09-11 18:39:34.477035 : Epoch  6, Batch   3041, Loss  0.875511, Average Loss  0.868807, Time  0.176246
2021-09-11 18:39:36.062999 : Epoch  6, Batch   3042, Loss  0.858590, Average Loss  0.868776, Time  0.169950
2021-09-11 18:39:37.669820 : Epoch  6, Batch   3043, Loss  0.886743, Average Loss  0.868925, Time  0.169641
2021-09-11 18:39:39.270948 : Epoch  6, Batch   3044, Loss  0.896880, Average Loss  0.869066, Time  0.170473
2021-09-11 18:39:40.046743 : Epoch  6, Batch   1365, Loss  0.857981, Average Loss  0.868438, Time  0.288318
2021-09-11 18:39:40.881039 : Epoch  6, Batch   3045, Loss  0.867790, Average Loss  0.869041, Time  0.169976
2021-09-11 18:39:46.003167 : Epoch  6, Batch   1366, Loss  0.852786, Average Loss  0.868348, Time  0.386968
2021-09-11 18:39:48.780124 : Epoch  6, Batch   1367, Loss  0.851054, Average Loss  0.868262, Time  0.261221
2021-09-11 18:39:54.766380 : Epoch  6, Batch   1368, Loss  0.888365, Average Loss  0.868278, Time  0.243366
2021-09-11 18:39:57.574819 : Epoch  6, Batch   1369, Loss  0.868950, Average Loss  0.868336, Time  0.263446
2021-09-11 18:40:04.156064 : Epoch  6, Batch   1370, Loss  0.880941, Average Loss  0.868388, Time  0.290333
2021-09-11 18:40:09.430787 : Epoch  6, Batch   1371, Loss  0.867416, Average Loss  0.868341, Time  0.311421
2021-09-11 18:40:13.439109 : Epoch  6, Batch   1372, Loss  0.872258, Average Loss  0.868350, Time  0.274964
2021-09-11 18:40:18.589143 : Epoch  6, Batch   1373, Loss  0.857526, Average Loss  0.868258, Time  0.304298
2021-09-11 18:40:23.640135 : Epoch  6, Batch   1374, Loss  0.862875, Average Loss  0.868238, Time  0.325267
2021-09-11 18:40:27.289601 : Epoch  6, Batch   1375, Loss  0.849795, Average Loss  0.868085, Time  0.331826
2021-09-11 18:40:33.943839 : Epoch  6, Batch   1376, Loss  0.861726, Average Loss  0.868070, Time  0.329905
2021-09-11 18:40:39.515796 : Epoch  6, Batch   1377, Loss  0.872871, Average Loss  0.868029, Time  0.249288
2021-09-11 18:40:45.909730 : Epoch  6, Batch   1378, Loss  0.858907, Average Loss  0.867978, Time  0.238797
2021-09-11 18:40:48.700080 : Epoch  6, Batch   1379, Loss  0.859533, Average Loss  0.867959, Time  0.262750
2021-09-11 18:40:53.602832 : Epoch  6, Batch   1380, Loss  0.896073, Average Loss  0.868046, Time  0.313843
2021-09-11 18:41:01.001810 : Epoch  6, Batch   1381, Loss  0.841758, Average Loss  0.867938, Time  0.259515
2021-09-11 18:41:05.268736 : Epoch  6, Batch   1382, Loss  0.868233, Average Loss  0.867900, Time  0.251316
2021-09-11 18:41:09.810049 : Epoch  6, Batch   1383, Loss  0.864129, Average Loss  0.867894, Time  0.280203
2021-09-11 18:41:14.772648 : Epoch  6, Batch   1384, Loss  0.875500, Average Loss  0.867959, Time  0.275233
2021-09-11 18:41:20.577896 : Epoch  6, Batch   1385, Loss  0.862842, Average Loss  0.867914, Time  0.333045
2021-09-11 18:41:26.389946 : Epoch  6, Batch   1386, Loss  0.873535, Average Loss  0.867878, Time  0.278143
2021-09-11 18:41:33.371765 : Epoch  6, Batch   1387, Loss  0.871236, Average Loss  0.867873, Time  0.348600
2021-09-11 18:41:37.264351 : Epoch  6, Batch   1388, Loss  0.866497, Average Loss  0.867817, Time  0.312080
2021-09-11 18:41:42.346136 : Epoch  6, Batch   1389, Loss  0.869040, Average Loss  0.867705, Time  0.243111
2021-09-11 18:41:50.524940 : Epoch  6, Batch   1390, Loss  0.865544, Average Loss  0.867681, Time  0.343619
2021-09-11 18:41:54.147409 : Epoch  6, Batch   1391, Loss  0.881928, Average Loss  0.867793, Time  0.313452
2021-09-11 18:42:01.015778 : Epoch  6, Batch   1392, Loss  0.856302, Average Loss  0.867666, Time  0.273329
2021-09-11 18:42:04.767925 : Epoch  6, Batch   1393, Loss  0.867641, Average Loss  0.867699, Time  0.265953
2021-09-11 18:42:12.152358 : Epoch  6, Batch   1394, Loss  0.875539, Average Loss  0.867747, Time  0.319646
2021-09-11 18:42:17.761489 : Epoch  6, Batch   1395, Loss  0.852217, Average Loss  0.867719, Time  0.408723
2021-09-11 18:42:23.012937 : Epoch  6, Batch   1396, Loss  0.869231, Average Loss  0.867725, Time  0.323423
2021-09-11 18:42:29.833353 : Epoch  6, Batch   1397, Loss  0.871398, Average Loss  0.867726, Time  0.392883
2021-09-11 18:42:35.964714 : Epoch  6, Batch   1398, Loss  0.868172, Average Loss  0.867612, Time  0.262806
2021-09-11 18:42:42.724843 : Epoch  6, Batch   1399, Loss  0.876323, Average Loss  0.867650, Time  0.339931
2021-09-11 18:42:48.211044 : Epoch  6, Batch   1400, Loss  0.853542, Average Loss  0.867559, Time  0.371363
2021-09-11 18:42:55.323630 : Epoch  6, Batch   1401, Loss  0.873563, Average Loss  0.867419, Time  0.412580
2021-09-11 18:43:00.488255 : Epoch  6, Batch   1402, Loss  0.860868, Average Loss  0.867392, Time  0.450303
2021-09-11 18:43:05.784800 : Epoch  6, Batch   1403, Loss  0.880975, Average Loss  0.867525, Time  0.345256
2021-09-11 18:43:10.266246 : Epoch  6, Batch   1404, Loss  0.863240, Average Loss  0.867466, Time  0.254108
2021-09-11 18:43:16.165193 : Epoch  6, Batch   1405, Loss  0.869912, Average Loss  0.867463, Time  0.245423
2021-09-11 18:43:20.259894 : Epoch  6, Batch   1406, Loss  0.897515, Average Loss  0.867611, Time  0.242171
2021-09-11 18:43:24.421236 : Epoch  6, Batch   1407, Loss  0.854828, Average Loss  0.867459, Time  0.317585
2021-09-11 18:43:31.302371 : Epoch  6, Batch   1408, Loss  0.880241, Average Loss  0.867422, Time  0.312598
2021-09-11 18:43:36.458453 : Epoch  6, Batch   1409, Loss  0.868359, Average Loss  0.867473, Time  0.474983
2021-09-11 18:43:40.315689 : Epoch  6, Batch   1410, Loss  0.861055, Average Loss  0.867459, Time  0.295592
2021-09-11 18:43:42.994038 : Epoch  6, Batch   1411, Loss  0.874243, Average Loss  0.867514, Time  0.296317
2021-09-11 18:43:45.650097 : Epoch  6, Batch   1412, Loss  0.867089, Average Loss  0.867383, Time  0.257119
2021-09-11 18:43:51.640087 : Epoch  6, Batch   1413, Loss  0.862760, Average Loss  0.867415, Time  0.298475
2021-09-11 18:43:56.529882 : Epoch  6, Batch   1414, Loss  0.857457, Average Loss  0.867323, Time  0.301386
2021-09-11 18:44:02.970489 : Epoch  6, Batch   1415, Loss  0.865861, Average Loss  0.867279, Time  0.489418
2021-09-11 18:44:09.522283 : Epoch  6, Batch   1416, Loss  0.875471, Average Loss  0.867269, Time  0.305403
2021-09-11 18:44:13.148937 : Epoch  6, Batch   1417, Loss  0.867781, Average Loss  0.867241, Time  0.274662
2021-09-11 18:44:19.372911 : Epoch  6, Batch   1418, Loss  0.869130, Average Loss  0.867183, Time  0.240156
2021-09-11 18:44:21.048713 : CheckPoint: Validation Loss  0.00060900, Best Loss  0.00057296
2021-09-11 18:44:22.651943 : Epoch  6, Batch   3046, Loss  0.910337, Average Loss  0.869241, Time  0.177758
2021-09-11 18:44:24.281006 : Epoch  6, Batch   3047, Loss  0.865314, Average Loss  0.869093, Time  0.185353
2021-09-11 18:44:25.375927 : Epoch  6, Batch   1419, Loss  0.854766, Average Loss  0.867076, Time  0.424515
2021-09-11 18:44:25.898040 : Epoch  6, Batch   3048, Loss  0.886948, Average Loss  0.869194, Time  0.176642
2021-09-11 18:44:27.541793 : Epoch  6, Batch   3049, Loss  0.873778, Average Loss  0.869190, Time  0.171325
2021-09-11 18:44:29.152853 : Epoch  6, Batch   3050, Loss  0.875861, Average Loss  0.869104, Time  0.170890
2021-09-11 18:44:30.778027 : Epoch  6, Batch   3051, Loss  0.850635, Average Loss  0.869068, Time  0.169977
2021-09-11 18:44:31.192909 : Epoch  6, Batch   1420, Loss  0.862804, Average Loss  0.867174, Time  0.283934
2021-09-11 18:44:32.384782 : Epoch  6, Batch   3052, Loss  0.903756, Average Loss  0.869222, Time  0.170627
2021-09-11 18:44:34.005026 : Epoch  6, Batch   3053, Loss  0.865568, Average Loss  0.869045, Time  0.172232
2021-09-11 18:44:35.640033 : Epoch  6, Batch   3054, Loss  0.888849, Average Loss  0.869059, Time  0.180421
2021-09-11 18:44:37.265037 : Epoch  6, Batch   3055, Loss  0.882490, Average Loss  0.869282, Time  0.179868
2021-09-11 18:44:38.875752 : Epoch  6, Batch   3056, Loss  0.855390, Average Loss  0.869194, Time  0.169624
2021-09-11 18:44:40.522369 : Epoch  6, Batch   3057, Loss  0.868110, Average Loss  0.869195, Time  0.171462
2021-09-11 18:44:42.171999 : Epoch  6, Batch   3058, Loss  0.879227, Average Loss  0.869153, Time  0.169981
2021-09-11 18:44:43.797827 : Epoch  6, Batch   3059, Loss  0.901983, Average Loss  0.869270, Time  0.170137
2021-09-11 18:44:45.414981 : Epoch  6, Batch   3060, Loss  0.853465, Average Loss  0.869165, Time  0.171941
2021-09-11 18:44:47.022741 : Epoch  6, Batch   3061, Loss  0.869514, Average Loss  0.869359, Time  0.172041
2021-09-11 18:44:48.637854 : Epoch  6, Batch   3062, Loss  0.881605, Average Loss  0.869373, Time  0.171135
2021-09-11 18:44:50.263039 : Epoch  6, Batch   3063, Loss  0.877568, Average Loss  0.869504, Time  0.170183
2021-09-11 18:44:51.862744 : Epoch  6, Batch   3064, Loss  0.854079, Average Loss  0.869538, Time  0.171246
2021-09-11 18:44:53.494866 : Epoch  6, Batch   3065, Loss  0.865489, Average Loss  0.869410, Time  0.174735
2021-09-11 18:44:55.119018 : Epoch  6, Batch   3066, Loss  0.870892, Average Loss  0.869495, Time  0.170099
2021-09-11 18:44:56.734031 : Epoch  6, Batch   3067, Loss  0.883107, Average Loss  0.869594, Time  0.170787
2021-09-11 18:44:58.347875 : Epoch  6, Batch   3068, Loss  0.837356, Average Loss  0.869450, Time  0.170332
2021-09-11 18:44:59.944084 : Epoch  6, Batch   3069, Loss  0.903565, Average Loss  0.869654, Time  0.173332
2021-09-11 18:45:01.594743 : Epoch  6, Batch   3070, Loss  0.882083, Average Loss  0.869772, Time  0.179663
2021-09-11 18:45:03.222036 : Epoch  6, Batch   3071, Loss  0.864354, Average Loss  0.869657, Time  0.173388
2021-09-11 18:45:04.830792 : Epoch  6, Batch   3072, Loss  0.849364, Average Loss  0.869573, Time  0.174811
2021-09-11 18:45:06.434029 : Epoch  6, Batch   3073, Loss  0.881215, Average Loss  0.869606, Time  0.170456
2021-09-11 18:45:08.061896 : Epoch  6, Batch   3074, Loss  0.877469, Average Loss  0.869625, Time  0.170210
2021-09-11 18:45:09.658033 : Epoch  6, Batch   3075, Loss  0.881927, Average Loss  0.869670, Time  0.171656
2021-09-11 18:45:11.277740 : Epoch  6, Batch   3076, Loss  0.829511, Average Loss  0.869415, Time  0.170766
2021-09-11 18:45:12.888845 : Epoch  6, Batch   3077, Loss  0.857884, Average Loss  0.869392, Time  0.170154
2021-09-11 18:45:14.516814 : Epoch  6, Batch   3078, Loss  0.852958, Average Loss  0.869365, Time  0.189032
2021-09-11 18:45:16.143036 : Epoch  6, Batch   3079, Loss  0.887381, Average Loss  0.869430, Time  0.175683
2021-09-11 18:45:17.748783 : Epoch  6, Batch   3080, Loss  0.864519, Average Loss  0.869372, Time  0.170059
2021-09-11 18:45:19.336030 : Epoch  6, Batch   3081, Loss  0.892599, Average Loss  0.869453, Time  0.174963
2021-09-11 18:45:20.910803 : Epoch  6, Batch   3082, Loss  0.886839, Average Loss  0.869477, Time  0.170684
2021-09-11 18:45:22.508039 : Epoch  6, Batch   3083, Loss  0.869518, Average Loss  0.869671, Time  0.172983
2021-09-11 18:45:24.101748 : Epoch  6, Batch   3084, Loss  0.888943, Average Loss  0.869615, Time  0.170401
2021-09-11 18:45:25.715026 : Epoch  6, Batch   3085, Loss  0.859850, Average Loss  0.869642, Time  0.169409
2021-09-11 18:45:27.336855 : Epoch  6, Batch   3086, Loss  0.881493, Average Loss  0.869730, Time  0.180730
2021-09-11 18:45:28.938843 : Epoch  6, Batch   3087, Loss  0.851785, Average Loss  0.869598, Time  0.172642
2021-09-11 18:45:30.534841 : Epoch  6, Batch   3088, Loss  0.876422, Average Loss  0.869618, Time  0.174637
2021-09-11 18:45:32.154883 : Epoch  6, Batch   3089, Loss  0.837322, Average Loss  0.869384, Time  0.174499
2021-09-11 18:45:33.758027 : Epoch  6, Batch   3090, Loss  0.847880, Average Loss  0.869232, Time  0.176591
2021-09-11 18:45:35.378851 : Epoch  6, Batch   3091, Loss  0.871210, Average Loss  0.869267, Time  0.176558
2021-09-11 18:45:36.981033 : Epoch  6, Batch   3092, Loss  0.884664, Average Loss  0.869407, Time  0.172798
2021-09-11 18:45:38.583030 : Epoch  6, Batch   3093, Loss  0.866769, Average Loss  0.869251, Time  0.170136
2021-09-11 18:45:40.196025 : Epoch  6, Batch   3094, Loss  0.889756, Average Loss  0.869349, Time  0.172724
2021-09-11 18:45:41.827033 : Epoch  6, Batch   3095, Loss  0.871051, Average Loss  0.869437, Time  0.177964
2021-09-11 18:45:43.447035 : Epoch  6, Batch   3096, Loss  0.847026, Average Loss  0.869237, Time  0.171769
2021-09-11 18:45:45.066755 : Epoch  6, Batch   3097, Loss  0.887992, Average Loss  0.869339, Time  0.180799
2021-09-11 18:45:46.690752 : Epoch  6, Batch   3098, Loss  0.872686, Average Loss  0.869387, Time  0.174773
2021-09-11 18:45:48.282863 : Epoch  6, Batch   3099, Loss  0.873953, Average Loss  0.869499, Time  0.170497
2021-09-11 18:45:49.886943 : Epoch  6, Batch   3100, Loss  0.884373, Average Loss  0.869537, Time  0.169997
2021-09-11 18:45:51.489862 : Epoch  6, Batch   3101, Loss  0.871840, Average Loss  0.869597, Time  0.172168
2021-09-11 18:45:53.093819 : Epoch  6, Batch   3102, Loss  0.873651, Average Loss  0.869652, Time  0.172393
2021-09-11 18:45:54.705025 : Epoch  6, Batch   3103, Loss  0.849217, Average Loss  0.869483, Time  0.173058
2021-09-11 18:45:56.312851 : Epoch  6, Batch   3104, Loss  0.845063, Average Loss  0.869302, Time  0.171015
2021-09-11 18:45:57.922770 : Epoch  6, Batch   3105, Loss  0.889624, Average Loss  0.869542, Time  0.170494
2021-09-11 18:45:59.517962 : Epoch  6, Batch   3106, Loss  0.891537, Average Loss  0.869764, Time  0.174688
2021-09-11 18:46:01.125801 : Epoch  6, Batch   3107, Loss  0.879756, Average Loss  0.869778, Time  0.177422
2021-09-11 18:46:02.744763 : Epoch  6, Batch   3108, Loss  0.877162, Average Loss  0.869642, Time  0.172562
2021-09-11 18:46:04.374947 : Epoch  6, Batch   3109, Loss  0.863174, Average Loss  0.869649, Time  0.171259
2021-09-11 18:46:05.994027 : Epoch  6, Batch   3110, Loss  0.867053, Average Loss  0.869704, Time  0.171058
2021-09-11 18:46:07.606030 : Epoch  6, Batch   3111, Loss  0.881391, Average Loss  0.869587, Time  0.172853
2021-09-11 18:46:09.212026 : Epoch  6, Batch   3112, Loss  0.845361, Average Loss  0.869379, Time  0.170148
2021-09-11 18:46:10.806801 : Epoch  6, Batch   3113, Loss  0.877821, Average Loss  0.869384, Time  0.173397
2021-09-11 18:46:12.398843 : Epoch  6, Batch   3114, Loss  0.875784, Average Loss  0.869389, Time  0.178289
2021-09-11 18:46:14.014032 : Epoch  6, Batch   3115, Loss  0.865271, Average Loss  0.869176, Time  0.172212
2021-09-11 18:46:15.621857 : Epoch  6, Batch   3116, Loss  0.847119, Average Loss  0.869006, Time  0.176671
2021-09-11 18:46:17.229770 : Epoch  6, Batch   3117, Loss  0.876252, Average Loss  0.869024, Time  0.172555
2021-09-11 18:46:18.846035 : Epoch  6, Batch   3118, Loss  0.869326, Average Loss  0.868948, Time  0.175798
2021-09-11 18:46:20.459802 : Epoch  6, Batch   3119, Loss  0.884510, Average Loss  0.869075, Time  0.170316
2021-09-11 18:46:22.070795 : Epoch  6, Batch   3120, Loss  0.891830, Average Loss  0.869150, Time  0.171397
2021-09-11 18:46:23.704024 : Epoch  6, Batch   3121, Loss  0.855095, Average Loss  0.869068, Time  0.169947
2021-09-11 18:46:25.322954 : Epoch  6, Batch   3122, Loss  0.867829, Average Loss  0.869124, Time  0.170196
2021-09-11 18:46:26.941028 : Epoch  6, Batch   3123, Loss  0.887704, Average Loss  0.869331, Time  0.177682
2021-09-11 18:46:28.548915 : Epoch  6, Batch   3124, Loss  0.849221, Average Loss  0.869339, Time  0.172305
2021-09-11 18:46:30.150743 : Epoch  6, Batch   3125, Loss  0.892153, Average Loss  0.869457, Time  0.170094
2021-09-11 18:46:31.768798 : Epoch  6, Batch   3126, Loss  0.880531, Average Loss  0.869476, Time  0.173085
2021-09-11 18:46:33.365891 : Epoch  6, Batch   3127, Loss  0.844551, Average Loss  0.869234, Time  0.170160
2021-09-11 18:46:35.010933 : Epoch  6, Batch   3128, Loss  0.898572, Average Loss  0.869478, Time  0.173242
2021-09-11 18:46:36.637022 : Epoch  6, Batch   3129, Loss  0.895291, Average Loss  0.869663, Time  0.178889
2021-09-11 18:46:38.318104 : Epoch  6, Batch   3130, Loss  0.888261, Average Loss  0.869855, Time  0.215927
2021-09-11 18:46:39.910553 : Epoch  6, Batch   3131, Loss  0.858987, Average Loss  0.869924, Time  0.170039
2021-09-11 18:46:41.521764 : Epoch  6, Batch   3132, Loss  0.895197, Average Loss  0.870177, Time  0.169959
2021-09-11 18:46:43.117033 : Epoch  6, Batch   3133, Loss  0.836951, Average Loss  0.870046, Time  0.170042
2021-09-11 18:46:44.717741 : Epoch  6, Batch   3134, Loss  0.837468, Average Loss  0.869810, Time  0.170378
2021-09-11 18:46:46.314030 : Epoch  6, Batch   3135, Loss  0.860637, Average Loss  0.869777, Time  0.169850
2021-09-11 18:46:47.920025 : Epoch  6, Batch   3136, Loss  0.884508, Average Loss  0.869981, Time  0.169792
2021-09-11 18:46:49.518031 : Epoch  6, Batch   3137, Loss  0.857543, Average Loss  0.869802, Time  0.169733
2021-09-11 18:46:51.141838 : Epoch  6, Batch   3138, Loss  0.884939, Average Loss  0.869929, Time  0.171597
2021-09-11 18:46:52.754036 : Epoch  6, Batch   3139, Loss  0.878726, Average Loss  0.869954, Time  0.175609
2021-09-11 18:46:54.382032 : Epoch  6, Batch   3140, Loss  0.862592, Average Loss  0.870068, Time  0.177979
2021-09-11 18:46:55.996038 : Epoch  6, Batch   3141, Loss  0.844235, Average Loss  0.870022, Time  0.170106
2021-09-11 18:46:57.614026 : Epoch  6, Batch   3142, Loss  0.848718, Average Loss  0.869901, Time  0.174083
2021-09-11 18:46:59.226029 : Epoch  6, Batch   3143, Loss  0.856586, Average Loss  0.869747, Time  0.169840
2021-09-11 18:47:00.854034 : Epoch  6, Batch   3144, Loss  0.897508, Average Loss  0.869929, Time  0.181295
2021-09-11 18:47:02.481790 : Epoch  6, Batch   3145, Loss  0.888659, Average Loss  0.869895, Time  0.183174
2021-09-11 18:51:42.958728 : CheckPoint: Validation Loss  0.00060404, Best Loss  0.00057296
2021-09-11 18:51:44.590940 : Epoch  6, Batch   3146, Loss  0.862742, Average Loss  0.869758, Time  0.178113
2021-09-11 18:51:46.221802 : Epoch  6, Batch   3147, Loss  0.879091, Average Loss  0.869663, Time  0.173164
2021-09-11 18:51:47.843002 : Epoch  6, Batch   3148, Loss  0.861718, Average Loss  0.869538, Time  0.169952
2021-09-11 18:51:49.462022 : Epoch  6, Batch   3149, Loss  0.895764, Average Loss  0.869647, Time  0.179430
2021-09-11 18:51:51.064021 : Epoch  6, Batch   3150, Loss  0.874196, Average Loss  0.869624, Time  0.170187
2021-09-11 18:51:52.667925 : Epoch  6, Batch   3151, Loss  0.878236, Average Loss  0.869654, Time  0.172690
2021-09-11 18:51:54.270016 : Epoch  6, Batch   3152, Loss  0.848141, Average Loss  0.869514, Time  0.173895
2021-09-11 18:51:55.864034 : Epoch  6, Batch   3153, Loss  0.871846, Average Loss  0.869462, Time  0.170063
2021-09-11 18:51:57.464033 : Epoch  6, Batch   3154, Loss  0.859736, Average Loss  0.869319, Time  0.172825
2021-09-11 18:51:59.088028 : Epoch  6, Batch   3155, Loss  0.866620, Average Loss  0.869405, Time  0.171376
2021-09-11 18:52:00.686839 : Epoch  6, Batch   3156, Loss  0.887575, Average Loss  0.869335, Time  0.172374
2021-09-11 18:52:02.295763 : Epoch  6, Batch   3157, Loss  0.841656, Average Loss  0.869173, Time  0.173344
2021-09-11 18:52:03.917037 : Epoch  6, Batch   3158, Loss  0.876958, Average Loss  0.869111, Time  0.177033
2021-09-11 18:52:05.532071 : Epoch  6, Batch   3159, Loss  0.851716, Average Loss  0.869177, Time  0.172502
2021-09-11 18:52:07.148037 : Epoch  6, Batch   3160, Loss  0.905203, Average Loss  0.869318, Time  0.172078
2021-09-11 18:52:08.767739 : Epoch  6, Batch   3161, Loss  0.840618, Average Loss  0.869174, Time  0.171955
2021-09-11 18:52:10.366854 : Epoch  6, Batch   3162, Loss  0.851656, Average Loss  0.869001, Time  0.173125
2021-09-11 18:52:11.951744 : Epoch  6, Batch   3163, Loss  0.879163, Average Loss  0.869237, Time  0.171329
2021-09-11 18:52:13.555032 : Epoch  6, Batch   3164, Loss  0.887178, Average Loss  0.869427, Time  0.171865
2021-09-11 18:52:15.200846 : Epoch  6, Batch   3165, Loss  0.827814, Average Loss  0.869132, Time  0.182283
2021-09-11 18:52:16.829050 : Epoch  6, Batch   3166, Loss  0.875331, Average Loss  0.869277, Time  0.175281
2021-09-11 18:52:18.432788 : Epoch  6, Batch   3167, Loss  0.869041, Average Loss  0.869295, Time  0.170332
2021-09-11 18:52:20.043032 : Epoch  6, Batch   3168, Loss  0.838555, Average Loss  0.869055, Time  0.170921
2021-09-11 18:52:21.646031 : Epoch  6, Batch   3169, Loss  0.874718, Average Loss  0.869147, Time  0.169623
2021-09-11 18:52:23.249428 : Epoch  6, Batch   3170, Loss  0.849762, Average Loss  0.869000, Time  0.170083
2021-09-11 18:52:24.849805 : Epoch  6, Batch   3171, Loss  0.851720, Average Loss  0.868943, Time  0.174347
2021-09-11 18:52:26.464890 : Epoch  6, Batch   3172, Loss  0.858227, Average Loss  0.869054, Time  0.176938
2021-09-11 18:52:28.073754 : Epoch  6, Batch   3173, Loss  0.865543, Average Loss  0.868863, Time  0.173904
2021-09-11 18:52:29.648875 : Epoch  6, Batch   3174, Loss  0.906731, Average Loss  0.868994, Time  0.172460
2021-09-11 18:52:31.250037 : Epoch  6, Batch   3175, Loss  0.882059, Average Loss  0.869000, Time  0.169996
2021-09-11 18:52:32.864740 : Epoch  6, Batch   3176, Loss  0.852501, Average Loss  0.868925, Time  0.170110
2021-09-11 18:52:34.475822 : Epoch  6, Batch   3177, Loss  0.873313, Average Loss  0.868866, Time  0.169841
2021-09-11 18:52:36.092795 : Epoch  6, Batch   3178, Loss  0.913494, Average Loss  0.869226, Time  0.170083
2021-09-11 18:52:37.708754 : Epoch  6, Batch   3179, Loss  0.875938, Average Loss  0.869239, Time  0.174328
2021-09-11 18:52:39.319807 : Epoch  6, Batch   3180, Loss  0.855440, Average Loss  0.869156, Time  0.170154
2021-09-11 18:52:40.928034 : Epoch  6, Batch   3181, Loss  0.873149, Average Loss  0.869060, Time  0.170580
2021-09-11 18:52:42.536754 : Epoch  6, Batch   3182, Loss  0.872467, Average Loss  0.869071, Time  0.174433
2021-09-11 18:52:44.187205 : Epoch  6, Batch   3183, Loss  0.863424, Average Loss  0.869016, Time  0.169787
2021-09-11 18:52:45.798769 : Epoch  6, Batch   3184, Loss  0.864183, Average Loss  0.868885, Time  0.169926
2021-09-11 18:52:47.400996 : Epoch  6, Batch   3185, Loss  0.863372, Average Loss  0.868916, Time  0.169504
2021-09-11 18:52:49.005003 : Epoch  6, Batch   3186, Loss  0.828609, Average Loss  0.868778, Time  0.169568
2021-09-11 18:52:50.612750 : Epoch  6, Batch   3187, Loss  0.859732, Average Loss  0.868721, Time  0.169704
2021-09-11 18:52:52.220992 : Epoch  6, Batch   3188, Loss  0.880605, Average Loss  0.868873, Time  0.169635
2021-09-11 18:52:53.831753 : Epoch  6, Batch   3189, Loss  0.890177, Average Loss  0.869003, Time  0.169918
2021-09-11 18:52:55.441989 : Epoch  6, Batch   3190, Loss  0.857538, Average Loss  0.868931, Time  0.169478
2021-09-11 18:52:57.050997 : Epoch  6, Batch   3191, Loss  0.876464, Average Loss  0.868945, Time  0.169547
2021-09-11 18:52:58.655776 : Epoch  6, Batch   3192, Loss  0.863673, Average Loss  0.868933, Time  0.169785
2021-09-11 18:53:00.261996 : Epoch  6, Batch   3193, Loss  0.865752, Average Loss  0.868852, Time  0.171848
2021-09-11 18:53:01.866745 : Epoch  6, Batch   3194, Loss  0.860128, Average Loss  0.868987, Time  0.171998
2021-09-11 18:53:03.467986 : Epoch  6, Batch   3195, Loss  0.835586, Average Loss  0.868837, Time  0.169568
2021-09-11 18:53:05.067997 : Epoch  6, Batch   3196, Loss  0.836808, Average Loss  0.868627, Time  0.169460
2021-09-11 18:53:05.792890 : CheckPoint: Validation Loss  0.00029879, Best Loss  0.00029019
2021-09-11 18:53:06.672003 : Epoch  6, Batch   3197, Loss  0.891143, Average Loss  0.868658, Time  0.169885
2021-09-11 18:53:08.266985 : Epoch  6, Batch   3198, Loss  0.904141, Average Loss  0.868742, Time  0.169656
2021-09-11 18:53:09.870783 : Epoch  6, Batch   3199, Loss  0.867100, Average Loss  0.868790, Time  0.169765
2021-09-11 18:53:11.014187 : Epoch  6, Batch   1421, Loss  0.859807, Average Loss  0.867130, Time  0.318347
2021-09-11 18:53:11.472737 : Epoch  6, Batch   3200, Loss  0.870948, Average Loss  0.868811, Time  0.169812
2021-09-11 18:53:13.061000 : Epoch  6, Batch   3201, Loss  0.868236, Average Loss  0.868843, Time  0.169955
2021-09-11 18:53:14.672997 : Epoch  6, Batch   3202, Loss  0.846066, Average Loss  0.868892, Time  0.169391
2021-09-11 18:53:15.807285 : Epoch  6, Batch   1422, Loss  0.860634, Average Loss  0.867063, Time  0.273197
2021-09-11 18:53:16.254996 : Epoch  6, Batch   3203, Loss  0.875495, Average Loss  0.868989, Time  0.169396
2021-09-11 18:53:17.860996 : Epoch  6, Batch   3204, Loss  0.853803, Average Loss  0.868977, Time  0.169580
2021-09-11 18:53:19.457041 : Epoch  6, Batch   3205, Loss  0.857687, Average Loss  0.868889, Time  0.169851
2021-09-11 18:53:21.069015 : Epoch  6, Batch   3206, Loss  0.849145, Average Loss  0.868947, Time  0.169607
2021-09-11 18:53:22.685018 : Epoch  6, Batch   3207, Loss  0.884343, Average Loss  0.868881, Time  0.180816
2021-09-11 18:53:23.743224 : Epoch  6, Batch   1423, Loss  0.861663, Average Loss  0.867019, Time  0.464178
2021-09-11 18:53:24.277779 : Epoch  6, Batch   3208, Loss  0.868760, Average Loss  0.869077, Time  0.170898
2021-09-11 18:53:25.870784 : Epoch  6, Batch   3209, Loss  0.868558, Average Loss  0.869063, Time  0.171831
2021-09-11 18:53:27.467824 : Epoch  6, Batch   3210, Loss  0.873858, Average Loss  0.869099, Time  0.169701
2021-09-11 18:53:29.073027 : Epoch  6, Batch   3211, Loss  0.890807, Average Loss  0.869197, Time  0.171993
2021-09-11 18:53:30.332824 : Epoch  6, Batch   1424, Loss  0.877038, Average Loss  0.867059, Time  0.410837
2021-09-11 18:53:30.664944 : Epoch  6, Batch   3212, Loss  0.865513, Average Loss  0.869112, Time  0.179684
2021-09-11 18:53:32.272979 : Epoch  6, Batch   3213, Loss  0.884213, Average Loss  0.869172, Time  0.169624
2021-09-11 18:53:33.877998 : Epoch  6, Batch   3214, Loss  0.905709, Average Loss  0.869475, Time  0.172320
2021-09-11 18:53:35.478774 : Epoch  6, Batch   3215, Loss  0.889694, Average Loss  0.869680, Time  0.169868
2021-09-11 18:53:37.100032 : Epoch  6, Batch   3216, Loss  0.874978, Average Loss  0.869625, Time  0.170024
2021-09-11 18:53:37.430580 : Epoch  6, Batch   1425, Loss  0.890615, Average Loss  0.867265, Time  0.247755
2021-09-11 18:53:38.714028 : Epoch  6, Batch   3217, Loss  0.847733, Average Loss  0.869596, Time  0.171234
2021-09-11 18:53:40.308943 : Epoch  6, Batch   3218, Loss  0.882765, Average Loss  0.869590, Time  0.172817
2021-09-11 18:53:41.912022 : Epoch  6, Batch   3219, Loss  0.862691, Average Loss  0.869458, Time  0.175549
2021-09-11 18:53:43.503041 : Epoch  6, Batch   3220, Loss  0.869928, Average Loss  0.869449, Time  0.175306
2021-09-11 18:53:44.716013 : Epoch  6, Batch   1426, Loss  0.866830, Average Loss  0.867301, Time  0.279332
2021-09-11 18:53:45.132999 : Epoch  6, Batch   3221, Loss  0.866060, Average Loss  0.869489, Time  0.171945
2021-09-11 18:53:46.719998 : Epoch  6, Batch   3222, Loss  0.875289, Average Loss  0.869487, Time  0.172214
2021-09-11 18:53:48.335753 : Epoch  6, Batch   3223, Loss  0.865713, Average Loss  0.869431, Time  0.169665
2021-09-11 18:53:49.952764 : Epoch  6, Batch   3224, Loss  0.834826, Average Loss  0.869214, Time  0.169730
2021-09-11 18:53:51.112943 : Epoch  6, Batch   1427, Loss  0.873085, Average Loss  0.867362, Time  0.293532
2021-09-11 18:53:51.551996 : Epoch  6, Batch   3225, Loss  0.869570, Average Loss  0.869251, Time  0.169792
2021-09-11 18:53:53.147999 : Epoch  6, Batch   3226, Loss  0.870306, Average Loss  0.869361, Time  0.169654
2021-09-11 18:53:54.753990 : Epoch  6, Batch   3227, Loss  0.886609, Average Loss  0.869503, Time  0.172293
2021-09-11 18:53:56.354755 : Epoch  6, Batch   3228, Loss  0.915451, Average Loss  0.869887, Time  0.172281
2021-09-11 18:53:57.958002 : Epoch  6, Batch   3229, Loss  0.880819, Average Loss  0.869985, Time  0.169596
2021-09-11 18:53:58.693998 : Epoch  6, Batch   1428, Loss  0.870268, Average Loss  0.867268, Time  0.329620
2021-09-11 18:53:59.565845 : Epoch  6, Batch   3230, Loss  0.864206, Average Loss  0.870010, Time  0.169571
2021-09-11 18:54:01.168846 : Epoch  6, Batch   3231, Loss  0.883379, Average Loss  0.870177, Time  0.169754
2021-09-11 18:54:02.061656 : Epoch  6, Batch   1429, Loss  0.897174, Average Loss  0.867353, Time  0.323066
2021-09-11 18:54:02.779000 : Epoch  6, Batch   3232, Loss  0.884733, Average Loss  0.870261, Time  0.169887
2021-09-11 18:54:04.384016 : Epoch  6, Batch   3233, Loss  0.910061, Average Loss  0.870438, Time  0.169739
2021-09-11 18:54:05.980783 : Epoch  6, Batch   3234, Loss  0.853740, Average Loss  0.870423, Time  0.169748
2021-09-11 18:54:07.582040 : Epoch  6, Batch   3235, Loss  0.874146, Average Loss  0.870444, Time  0.169713
2021-09-11 18:54:09.187789 : Epoch  6, Batch   3236, Loss  0.892179, Average Loss  0.870647, Time  0.169699
2021-09-11 18:54:09.215349 : Epoch  6, Batch   1430, Loss  0.887180, Average Loss  0.867351, Time  0.433342
2021-09-11 18:54:10.780995 : Epoch  6, Batch   3237, Loss  0.848881, Average Loss  0.870646, Time  0.169645
2021-09-11 18:54:12.379997 : Epoch  6, Batch   3238, Loss  0.859973, Average Loss  0.870692, Time  0.169336
2021-09-11 18:54:13.970991 : Epoch  6, Batch   3239, Loss  0.851616, Average Loss  0.870659, Time  0.169941
2021-09-11 18:54:15.577004 : Epoch  6, Batch   3240, Loss  0.904040, Average Loss  0.870815, Time  0.171338
2021-09-11 18:54:17.184981 : Epoch  6, Batch   3241, Loss  0.906562, Average Loss  0.870970, Time  0.169547
2021-09-11 18:54:17.351325 : Epoch  6, Batch   1431, Loss  0.884649, Average Loss  0.867353, Time  0.283494
2021-09-11 18:54:18.800837 : Epoch  6, Batch   3242, Loss  0.880069, Average Loss  0.871078, Time  0.169607
2021-09-11 18:54:20.419899 : Epoch  6, Batch   3243, Loss  0.861671, Average Loss  0.870952, Time  0.169889
2021-09-11 18:54:21.541043 : Epoch  6, Batch   1432, Loss  0.889411, Average Loss  0.867380, Time  0.273793
2021-09-11 18:54:22.039809 : Epoch  6, Batch   3244, Loss  0.814717, Average Loss  0.870541, Time  0.169572
2021-09-11 18:54:23.650788 : Epoch  6, Batch   3245, Loss  0.872978, Average Loss  0.870567, Time  0.170497
2021-09-11 18:54:26.712783 : Epoch  6, Batch   1433, Loss  0.872516, Average Loss  0.867345, Time  0.370343
2021-09-11 18:54:35.373828 : Epoch  6, Batch   1434, Loss  0.884749, Average Loss  0.867395, Time  0.315168
2021-09-11 18:54:41.620675 : Epoch  6, Batch   1435, Loss  0.870136, Average Loss  0.867494, Time  0.238253
2021-09-11 18:54:50.842436 : Epoch  6, Batch   1436, Loss  0.864668, Average Loss  0.867518, Time  0.241369
2021-09-11 18:54:56.522795 : Epoch  6, Batch   1437, Loss  0.875993, Average Loss  0.867645, Time  0.368678
2021-09-11 18:55:03.516082 : Epoch  6, Batch   1438, Loss  0.862557, Average Loss  0.867628, Time  0.428544
2021-09-11 18:55:09.445197 : Epoch  6, Batch   1439, Loss  0.877969, Average Loss  0.867647, Time  0.237740
2021-09-11 18:55:16.429919 : Epoch  6, Batch   1440, Loss  0.888561, Average Loss  0.867845, Time  0.275738
2021-09-11 18:55:22.988584 : Epoch  6, Batch   1441, Loss  0.858076, Average Loss  0.867900, Time  0.426243
2021-09-11 18:55:28.423001 : Epoch  6, Batch   1442, Loss  0.849755, Average Loss  0.867799, Time  0.257684
2021-09-11 18:55:34.426746 : Epoch  6, Batch   1443, Loss  0.876521, Average Loss  0.867989, Time  0.287707
2021-09-11 18:55:37.387636 : Epoch  6, Batch   1444, Loss  0.873087, Average Loss  0.868122, Time  0.240011
2021-09-11 18:55:41.264973 : Epoch  6, Batch   1445, Loss  0.885535, Average Loss  0.868219, Time  0.293753
2021-09-11 18:55:46.439582 : Epoch  6, Batch   1446, Loss  0.867583, Average Loss  0.868154, Time  0.571967
2021-09-11 18:55:52.603246 : Epoch  6, Batch   1447, Loss  0.855933, Average Loss  0.868050, Time  0.268796
2021-09-11 18:55:57.413034 : Epoch  6, Batch   1448, Loss  0.883031, Average Loss  0.868198, Time  0.272965
2021-09-11 18:56:03.924193 : Epoch  6, Batch   1449, Loss  0.867941, Average Loss  0.868161, Time  0.394050
2021-09-11 18:56:08.231793 : Epoch  6, Batch   1450, Loss  0.872551, Average Loss  0.868210, Time  0.339669
2021-09-11 18:56:15.607302 : Epoch  6, Batch   1451, Loss  0.879556, Average Loss  0.868263, Time  0.325117
2021-09-11 18:56:20.967798 : Epoch  6, Batch   1452, Loss  0.862873, Average Loss  0.868108, Time  0.319198
2021-09-11 18:56:27.023135 : Epoch  6, Batch   1453, Loss  0.873395, Average Loss  0.868239, Time  0.476474
2021-09-11 18:56:32.036381 : Epoch  6, Batch   1454, Loss  0.859718, Average Loss  0.868146, Time  0.252205
2021-09-11 18:56:40.411112 : Epoch  6, Batch   1455, Loss  0.879247, Average Loss  0.868203, Time  0.257727
2021-09-11 18:56:47.542719 : Epoch  6, Batch   1456, Loss  0.862590, Average Loss  0.868198, Time  0.284953
2021-09-11 18:56:53.718794 : Epoch  6, Batch   1457, Loss  0.861110, Average Loss  0.868125, Time  0.432099
2021-09-11 18:57:00.098782 : Epoch  6, Batch   1458, Loss  0.868525, Average Loss  0.868075, Time  0.298431
2021-09-11 18:57:06.201300 : Epoch  6, Batch   1459, Loss  0.874331, Average Loss  0.868212, Time  0.239926
2021-09-11 18:57:09.632589 : Epoch  6, Batch   1460, Loss  0.872514, Average Loss  0.868374, Time  0.240637
2021-09-11 18:57:15.136179 : Epoch  6, Batch   1461, Loss  0.860515, Average Loss  0.868354, Time  0.304498
2021-09-11 18:57:20.496728 : Epoch  6, Batch   1462, Loss  0.881724, Average Loss  0.868514, Time  0.364076
2021-09-11 18:57:23.586959 : Epoch  6, Batch   1463, Loss  0.868605, Average Loss  0.868581, Time  0.285218
2021-09-11 18:57:27.603060 : Epoch  6, Batch   1464, Loss  0.872798, Average Loss  0.868439, Time  0.354353
2021-09-11 18:57:34.118800 : Epoch  6, Batch   1465, Loss  0.871528, Average Loss  0.868547, Time  0.455819
2021-09-11 18:57:41.324734 : Epoch  6, Batch   1466, Loss  0.860615, Average Loss  0.868553, Time  0.309097
2021-09-11 18:57:47.213714 : Epoch  6, Batch   1467, Loss  0.879653, Average Loss  0.868598, Time  0.291808
2021-09-11 18:57:51.466140 : Epoch  6, Batch   1468, Loss  0.856853, Average Loss  0.868487, Time  0.240469
2021-09-11 18:57:54.980698 : Epoch  6, Batch   1469, Loss  0.865375, Average Loss  0.868479, Time  0.392027
2021-09-11 18:58:00.995209 : Epoch  6, Batch   1470, Loss  0.872078, Average Loss  0.868552, Time  0.354203
2021-09-11 18:58:06.928106 : Epoch  6, Batch   1471, Loss  0.862202, Average Loss  0.868520, Time  0.289682
2021-09-11 18:58:13.340745 : Epoch  6, Batch   1472, Loss  0.871274, Average Loss  0.868541, Time  0.237702
2021-09-11 18:58:18.353276 : Epoch  6, Batch   1473, Loss  0.863009, Average Loss  0.868640, Time  0.240339
2021-09-11 18:58:24.446959 : Epoch  6, Batch   1474, Loss  0.852176, Average Loss  0.868569, Time  0.288881
2021-09-11 18:58:31.944284 : Epoch  6, Batch   1475, Loss  0.880082, Average Loss  0.868687, Time  0.278074
2021-09-11 18:58:36.501067 : Epoch  6, Batch   1476, Loss  0.850523, Average Loss  0.868532, Time  0.239973
2021-09-11 18:58:39.268848 : Epoch  6, Batch   1477, Loss  0.872012, Average Loss  0.868566, Time  0.298823
2021-09-11 18:58:45.729312 : Epoch  6, Batch   1478, Loss  0.878166, Average Loss  0.868580, Time  0.308562
2021-09-11 18:58:50.165749 : Epoch  6, Batch   1479, Loss  0.864427, Average Loss  0.868681, Time  0.307418
2021-09-11 18:58:56.459101 : Epoch  6, Batch   1480, Loss  0.862163, Average Loss  0.868750, Time  0.319154
2021-09-11 18:59:01.776024 : Epoch  6, Batch   1481, Loss  0.859370, Average Loss  0.868682, Time  0.352131
2021-09-11 18:59:04.166718 : CheckPoint: Validation Loss  0.00062305, Best Loss  0.00057296
2021-09-11 18:59:05.801749 : Epoch  6, Batch   3246, Loss  0.860257, Average Loss  0.870317, Time  0.177620
2021-09-11 18:59:07.421801 : Epoch  6, Batch   3247, Loss  0.853155, Average Loss  0.870256, Time  0.170262
2021-09-11 18:59:09.038979 : Epoch  6, Batch   3248, Loss  0.857233, Average Loss  0.870108, Time  0.169675
2021-09-11 18:59:10.504729 : Epoch  6, Batch   1482, Loss  0.859177, Average Loss  0.868657, Time  0.323509
2021-09-11 18:59:10.647998 : Epoch  6, Batch   3249, Loss  0.864023, Average Loss  0.870059, Time  0.169900
2021-09-11 18:59:12.249817 : Epoch  6, Batch   3250, Loss  0.859048, Average Loss  0.869975, Time  0.169648
2021-09-11 18:59:13.409011 : Epoch  6, Batch   1483, Loss  0.866267, Average Loss  0.868694, Time  0.274945
2021-09-11 18:59:13.857990 : Epoch  6, Batch   3251, Loss  0.856915, Average Loss  0.870006, Time  0.171974
2021-09-11 18:59:15.479774 : Epoch  6, Batch   3252, Loss  0.891936, Average Loss  0.869947, Time  0.169865
2021-09-11 18:59:17.089997 : Epoch  6, Batch   3253, Loss  0.824123, Average Loss  0.869740, Time  0.169785
2021-09-11 18:59:18.136891 : Epoch  6, Batch   1484, Loss  0.879441, Average Loss  0.868753, Time  0.419662
2021-09-11 18:59:18.692804 : Epoch  6, Batch   3254, Loss  0.856470, Average Loss  0.869578, Time  0.169664
2021-09-11 18:59:20.308001 : Epoch  6, Batch   3255, Loss  0.872738, Average Loss  0.869529, Time  0.170067
2021-09-11 18:59:21.932744 : Epoch  6, Batch   3256, Loss  0.862936, Average Loss  0.869567, Time  0.171965
2021-09-11 18:59:23.554013 : Epoch  6, Batch   3257, Loss  0.908082, Average Loss  0.869767, Time  0.169770
2021-09-11 18:59:24.659285 : Epoch  6, Batch   1485, Loss  0.862840, Average Loss  0.868733, Time  0.333223
2021-09-11 18:59:25.167776 : Epoch  6, Batch   3258, Loss  0.846861, Average Loss  0.869605, Time  0.169943
2021-09-11 18:59:26.790989 : Epoch  6, Batch   3259, Loss  0.879001, Average Loss  0.869490, Time  0.171547
2021-09-11 18:59:28.402015 : Epoch  6, Batch   3260, Loss  0.848714, Average Loss  0.869466, Time  0.171909
2021-09-11 18:59:30.055070 : Epoch  6, Batch   3261, Loss  0.827350, Average Loss  0.869255, Time  0.170055
2021-09-11 18:59:30.833804 : Epoch  6, Batch   1486, Loss  0.869468, Average Loss  0.868805, Time  0.420939
2021-09-11 18:59:31.665042 : Epoch  6, Batch   3262, Loss  0.882059, Average Loss  0.869258, Time  0.169936
2021-09-11 18:59:33.262807 : Epoch  6, Batch   3263, Loss  0.865255, Average Loss  0.869196, Time  0.169887
2021-09-11 18:59:34.871038 : Epoch  6, Batch   3264, Loss  0.865737, Average Loss  0.869254, Time  0.170052
2021-09-11 18:59:36.037713 : Epoch  6, Batch   1487, Loss  0.873906, Average Loss  0.868826, Time  0.518135
2021-09-11 18:59:36.493200 : Epoch  6, Batch   3265, Loss  0.863912, Average Loss  0.869247, Time  0.171206
2021-09-11 18:59:38.098778 : Epoch  6, Batch   3266, Loss  0.875909, Average Loss  0.869272, Time  0.172115
2021-09-11 18:59:39.710832 : Epoch  6, Batch   3267, Loss  0.882929, Average Loss  0.869271, Time  0.170368
2021-09-11 18:59:41.316980 : Epoch  6, Batch   3268, Loss  0.841345, Average Loss  0.869291, Time  0.169759
2021-09-11 18:59:42.251472 : Epoch  6, Batch   1488, Loss  0.881044, Average Loss  0.868910, Time  0.265401
2021-09-11 18:59:42.935004 : Epoch  6, Batch   3269, Loss  0.868262, Average Loss  0.869114, Time  0.170260
2021-09-11 18:59:44.540781 : Epoch  6, Batch   3270, Loss  0.837664, Average Loss  0.868892, Time  0.169697
2021-09-11 18:59:46.139743 : Epoch  6, Batch   3271, Loss  0.874765, Average Loss  0.868944, Time  0.169513
2021-09-11 18:59:47.745748 : Epoch  6, Batch   3272, Loss  0.877187, Average Loss  0.869083, Time  0.169807
2021-09-11 18:59:48.498569 : Epoch  6, Batch   1489, Loss  0.865748, Average Loss  0.868862, Time  0.238283
2021-09-11 18:59:49.334827 : Epoch  6, Batch   3273, Loss  0.864307, Average Loss  0.868999, Time  0.169996
2021-09-11 18:59:50.914765 : Epoch  6, Batch   3274, Loss  0.840014, Average Loss  0.868811, Time  0.169360
2021-09-11 18:59:52.523775 : Epoch  6, Batch   3275, Loss  0.882321, Average Loss  0.868813, Time  0.171577
2021-09-11 18:59:53.901403 : Epoch  6, Batch   1490, Loss  0.854075, Average Loss  0.868798, Time  0.320829
2021-09-11 18:59:54.123824 : Epoch  6, Batch   3276, Loss  0.852405, Average Loss  0.868928, Time  0.169521
2021-09-11 18:59:55.730790 : Epoch  6, Batch   3277, Loss  0.879639, Average Loss  0.869037, Time  0.170075
2021-09-11 18:59:57.336801 : Epoch  6, Batch   3278, Loss  0.848936, Average Loss  0.869016, Time  0.169901
2021-09-11 18:59:58.200860 : Epoch  6, Batch   1491, Loss  0.889012, Average Loss  0.868882, Time  0.292130
2021-09-11 18:59:58.946003 : Epoch  6, Batch   3279, Loss  0.850883, Average Loss  0.868834, Time  0.170025
2021-09-11 19:00:00.554819 : Epoch  6, Batch   3280, Loss  0.876496, Average Loss  0.868894, Time  0.169686
2021-09-11 19:00:02.166764 : Epoch  6, Batch   3281, Loss  0.884615, Average Loss  0.868854, Time  0.172002
2021-09-11 19:00:03.765740 : Epoch  6, Batch   3282, Loss  0.873668, Average Loss  0.868788, Time  0.169804
2021-09-11 19:00:04.841369 : Epoch  6, Batch   1492, Loss  0.865997, Average Loss  0.868882, Time  0.399553
2021-09-11 19:00:05.412053 : Epoch  6, Batch   3283, Loss  0.866328, Average Loss  0.868772, Time  0.170539
2021-09-11 19:00:07.019755 : Epoch  6, Batch   3284, Loss  0.847075, Average Loss  0.868563, Time  0.169950
2021-09-11 19:00:08.625999 : Epoch  6, Batch   3285, Loss  0.869801, Average Loss  0.868613, Time  0.169585
2021-09-11 19:00:09.433801 : Epoch  6, Batch   1493, Loss  0.872425, Average Loss  0.868903, Time  0.261302
2021-09-11 19:00:10.239747 : Epoch  6, Batch   3286, Loss  0.873016, Average Loss  0.868570, Time  0.169796
2021-09-11 19:00:11.843998 : Epoch  6, Batch   3287, Loss  0.850130, Average Loss  0.868562, Time  0.169815
2021-09-11 19:00:13.447018 : Epoch  6, Batch   3288, Loss  0.863586, Average Loss  0.868498, Time  0.169811
2021-09-11 19:00:14.758066 : Epoch  6, Batch   1494, Loss  0.862676, Average Loss  0.868888, Time  0.257870
2021-09-11 19:00:15.066796 : Epoch  6, Batch   3289, Loss  0.854773, Average Loss  0.868585, Time  0.169948
2021-09-11 19:00:16.669998 : Epoch  6, Batch   3290, Loss  0.848389, Average Loss  0.868588, Time  0.169918
2021-09-11 19:00:18.284000 : Epoch  6, Batch   3291, Loss  0.884379, Average Loss  0.868653, Time  0.169857
2021-09-11 19:00:19.891997 : Epoch  6, Batch   3292, Loss  0.905061, Average Loss  0.868755, Time  0.169643
2021-09-11 19:00:21.505005 : Epoch  6, Batch   3293, Loss  0.825569, Average Loss  0.868549, Time  0.170058
2021-09-11 19:00:21.701921 : Epoch  6, Batch   1495, Loss  0.856298, Average Loss  0.868792, Time  0.407541
2021-09-11 19:00:23.109811 : Epoch  6, Batch   3294, Loss  0.896112, Average Loss  0.868581, Time  0.169552
2021-09-11 19:00:24.711800 : Epoch  6, Batch   3295, Loss  0.874424, Average Loss  0.868598, Time  0.170185
2021-09-11 19:00:26.338739 : Epoch  6, Batch   3296, Loss  0.855419, Average Loss  0.868640, Time  0.172385
2021-09-11 19:00:27.540384 : Epoch  6, Batch   1496, Loss  0.886563, Average Loss  0.868853, Time  0.385215
2021-09-11 19:00:27.950997 : Epoch  6, Batch   3297, Loss  0.895994, Average Loss  0.868680, Time  0.171562
2021-09-11 19:00:29.548744 : Epoch  6, Batch   3298, Loss  0.879197, Average Loss  0.868713, Time  0.169919
2021-09-11 19:00:31.169008 : Epoch  6, Batch   3299, Loss  0.868399, Average Loss  0.868685, Time  0.169826
2021-09-11 19:00:32.774823 : Epoch  6, Batch   3300, Loss  0.883223, Average Loss  0.868679, Time  0.169721
2021-09-11 19:00:33.949932 : Epoch  6, Batch   1497, Loss  0.868659, Average Loss  0.868759, Time  0.261226
2021-09-11 19:00:34.381007 : Epoch  6, Batch   3301, Loss  0.903186, Average Loss  0.868836, Time  0.169939
2021-09-11 19:00:35.972000 : Epoch  6, Batch   3302, Loss  0.880262, Average Loss  0.868869, Time  0.169570
2021-09-11 19:00:37.592757 : Epoch  6, Batch   3303, Loss  0.856180, Average Loss  0.868904, Time  0.169727
2021-09-11 19:00:38.151498 : Epoch  6, Batch   1498, Loss  0.852866, Average Loss  0.868644, Time  0.307576
2021-09-11 19:00:39.217767 : Epoch  6, Batch   3304, Loss  0.857430, Average Loss  0.868965, Time  0.169772
2021-09-11 19:00:40.813772 : Epoch  6, Batch   3305, Loss  0.891205, Average Loss  0.868973, Time  0.169624
2021-09-11 19:00:42.419908 : Epoch  6, Batch   3306, Loss  0.864393, Average Loss  0.868838, Time  0.169664
2021-09-11 19:00:44.036862 : Epoch  6, Batch   3307, Loss  0.868846, Average Loss  0.868783, Time  0.169761
2021-09-11 19:00:44.193886 : Epoch  6, Batch   1499, Loss  0.869467, Average Loss  0.868587, Time  0.332681
2021-09-11 19:00:45.659885 : Epoch  6, Batch   3308, Loss  0.864303, Average Loss  0.868719, Time  0.172224
2021-09-11 19:00:47.259808 : Epoch  6, Batch   3309, Loss  0.844899, Average Loss  0.868627, Time  0.169703
2021-09-11 19:00:48.868793 : Epoch  6, Batch   3310, Loss  0.850366, Average Loss  0.868544, Time  0.169605
2021-09-11 19:00:50.475783 : Epoch  6, Batch   3311, Loss  0.877275, Average Loss  0.868523, Time  0.172356
2021-09-11 19:00:51.165276 : Epoch  6, Batch   1500, Loss  0.872894, Average Loss  0.868566, Time  0.392332
2021-09-11 19:00:52.079869 : Epoch  6, Batch   3312, Loss  0.877557, Average Loss  0.868684, Time  0.169858
2021-09-11 19:00:53.701757 : Epoch  6, Batch   3313, Loss  0.849888, Average Loss  0.868545, Time  0.186538
2021-09-11 19:00:55.311764 : Epoch  6, Batch   3314, Loss  0.892297, Average Loss  0.868627, Time  0.169833
2021-09-11 19:00:55.775776 : Epoch  6, Batch   1501, Loss  0.882440, Average Loss  0.868601, Time  0.309043
2021-09-11 19:00:56.950032 : Epoch  6, Batch   3315, Loss  0.867431, Average Loss  0.868638, Time  0.170246
2021-09-11 19:00:58.572024 : Epoch  6, Batch   3316, Loss  0.872967, Average Loss  0.868767, Time  0.177613
2021-09-11 19:01:00.182039 : Epoch  6, Batch   3317, Loss  0.849587, Average Loss  0.868634, Time  0.170760
2021-09-11 19:01:01.798796 : Epoch  6, Batch   3318, Loss  0.892783, Average Loss  0.868751, Time  0.169759
2021-09-11 19:01:03.410914 : Epoch  6, Batch   3319, Loss  0.872593, Average Loss  0.868692, Time  0.170048
2021-09-11 19:01:03.949042 : Epoch  6, Batch   1502, Loss  0.863533, Average Loss  0.868604, Time  0.677418
2021-09-11 19:01:05.031980 : Epoch  6, Batch   3320, Loss  0.862603, Average Loss  0.868546, Time  0.169814
2021-09-11 19:01:06.658966 : Epoch  6, Batch   3321, Loss  0.863383, Average Loss  0.868587, Time  0.169817
2021-09-11 19:01:08.291018 : Epoch  6, Batch   3322, Loss  0.841995, Average Loss  0.868458, Time  0.170489
2021-09-11 19:01:09.901780 : Epoch  6, Batch   3323, Loss  0.876288, Average Loss  0.868401, Time  0.169925
2021-09-11 19:01:11.315422 : Epoch  6, Batch   1503, Loss  0.881594, Average Loss  0.868720, Time  0.295891
2021-09-11 19:01:11.503994 : Epoch  6, Batch   3324, Loss  0.893693, Average Loss  0.868623, Time  0.169952
2021-09-11 19:01:13.140746 : Epoch  6, Batch   3325, Loss  0.891593, Average Loss  0.868620, Time  0.169855
2021-09-11 19:01:14.746001 : Epoch  6, Batch   3326, Loss  0.889005, Average Loss  0.868663, Time  0.169687
2021-09-11 19:01:16.349987 : Epoch  6, Batch   3327, Loss  0.852896, Average Loss  0.868704, Time  0.169588
2021-09-11 19:01:17.961843 : Epoch  6, Batch   3328, Loss  0.898668, Average Loss  0.868705, Time  0.169782
2021-09-11 19:01:19.257062 : Epoch  6, Batch   1504, Loss  0.883190, Average Loss  0.868777, Time  0.361896
2021-09-11 19:01:19.567751 : Epoch  6, Batch   3329, Loss  0.880215, Average Loss  0.868630, Time  0.169524
2021-09-11 19:01:21.179821 : Epoch  6, Batch   3330, Loss  0.850279, Average Loss  0.868440, Time  0.169931
2021-09-11 19:01:22.791002 : Epoch  6, Batch   3331, Loss  0.884330, Average Loss  0.868566, Time  0.169971
2021-09-11 19:01:24.411984 : Epoch  6, Batch   3332, Loss  0.865969, Average Loss  0.868420, Time  0.170317
2021-09-11 19:01:25.622708 : Epoch  6, Batch   1505, Loss  0.861359, Average Loss  0.868730, Time  0.290574
2021-09-11 19:01:26.026984 : Epoch  6, Batch   3333, Loss  0.894778, Average Loss  0.868709, Time  0.169843
2021-09-11 19:01:27.635794 : Epoch  6, Batch   3334, Loss  0.875432, Average Loss  0.868899, Time  0.169792
2021-09-11 19:01:29.233783 : Epoch  6, Batch   3335, Loss  0.847033, Average Loss  0.868831, Time  0.169524
2021-09-11 19:01:30.846664 : Epoch  6, Batch   3336, Loss  0.866874, Average Loss  0.868743, Time  0.180682
2021-09-11 19:01:31.449340 : Epoch  6, Batch   1506, Loss  0.867088, Average Loss  0.868757, Time  0.491565
2021-09-11 19:01:32.433744 : Epoch  6, Batch   3337, Loss  0.862440, Average Loss  0.868767, Time  0.172397
2021-09-11 19:01:34.037025 : Epoch  6, Batch   3338, Loss  0.889616, Average Loss  0.868791, Time  0.172738
2021-09-11 19:01:35.650789 : Epoch  6, Batch   3339, Loss  0.867969, Average Loss  0.868737, Time  0.169961
2021-09-11 19:01:37.277831 : Epoch  6, Batch   3340, Loss  0.882904, Average Loss  0.868839, Time  0.172760
2021-09-11 19:01:37.757660 : Epoch  6, Batch   1507, Loss  0.873907, Average Loss  0.869009, Time  0.397875
2021-09-11 19:01:38.887763 : Epoch  6, Batch   3341, Loss  0.876825, Average Loss  0.869002, Time  0.170600
2021-09-11 19:01:40.507775 : Epoch  6, Batch   3342, Loss  0.887586, Average Loss  0.869196, Time  0.170301
2021-09-11 19:01:42.138782 : Epoch  6, Batch   3343, Loss  0.844944, Average Loss  0.869138, Time  0.176759
2021-09-11 19:01:43.742869 : Epoch  6, Batch   3344, Loss  0.897136, Average Loss  0.869136, Time  0.174778
2021-09-11 19:01:44.692196 : Epoch  6, Batch   1508, Loss  0.873969, Average Loss  0.869077, Time  0.345712
2021-09-11 19:01:45.351754 : Epoch  6, Batch   3345, Loss  0.853196, Average Loss  0.868958, Time  0.172795
2021-09-11 19:01:49.763772 : Epoch  6, Batch   1509, Loss  0.839900, Average Loss  0.869013, Time  0.256232
2021-09-11 19:01:57.058329 : Epoch  6, Batch   1510, Loss  0.862009, Average Loss  0.869010, Time  0.269515
2021-09-11 19:02:04.367685 : Epoch  6, Batch   1511, Loss  0.871406, Average Loss  0.869061, Time  0.243693
2021-09-11 19:02:07.105357 : Epoch  6, Batch   1512, Loss  0.884665, Average Loss  0.869189, Time  0.299259
2021-09-11 19:02:13.043731 : Epoch  6, Batch   1513, Loss  0.867585, Average Loss  0.869260, Time  0.417929
2021-09-11 19:02:19.105106 : Epoch  6, Batch   1514, Loss  0.862138, Average Loss  0.869205, Time  0.411460
2021-09-11 19:02:22.255177 : Epoch  6, Batch   1515, Loss  0.879229, Average Loss  0.869108, Time  0.272443
2021-09-11 19:02:27.630166 : Epoch  6, Batch   1516, Loss  0.863644, Average Loss  0.869045, Time  0.316278
2021-09-11 19:02:33.165986 : Epoch  6, Batch   1517, Loss  0.876779, Average Loss  0.869160, Time  0.310599
2021-09-11 19:02:40.295152 : Epoch  6, Batch   1518, Loss  0.848179, Average Loss  0.869109, Time  0.328343
2021-09-11 19:02:48.177679 : Epoch  6, Batch   1519, Loss  0.881684, Average Loss  0.869141, Time  0.354695
2021-09-11 19:02:54.324693 : Epoch  6, Batch   1520, Loss  0.851652, Average Loss  0.869017, Time  0.310235
2021-09-11 19:06:27.062724 : CheckPoint: Validation Loss  0.00060654, Best Loss  0.00057296
2021-09-11 19:06:28.672923 : Epoch  6, Batch   3346, Loss  0.871596, Average Loss  0.869003, Time  0.178019
2021-09-11 19:06:30.285959 : Epoch  6, Batch   3347, Loss  0.902961, Average Loss  0.869122, Time  0.170216
2021-09-11 19:06:31.913958 : Epoch  6, Batch   3348, Loss  0.830493, Average Loss  0.868966, Time  0.172256
2021-09-11 19:06:33.530795 : Epoch  6, Batch   3349, Loss  0.885414, Average Loss  0.868914, Time  0.170101
2021-09-11 19:06:35.151868 : Epoch  6, Batch   3350, Loss  0.853074, Average Loss  0.868809, Time  0.169863
2021-09-11 19:06:36.757732 : Epoch  6, Batch   3351, Loss  0.862403, Average Loss  0.868729, Time  0.170011
2021-09-11 19:06:38.372998 : Epoch  6, Batch   3352, Loss  0.879211, Average Loss  0.868885, Time  0.169942
2021-09-11 19:06:39.970839 : Epoch  6, Batch   3353, Loss  0.852916, Average Loss  0.868790, Time  0.169564
2021-09-11 19:06:41.554497 : Epoch  6, Batch   3354, Loss  0.908878, Average Loss  0.869036, Time  0.173124
2021-09-11 19:06:43.144804 : Epoch  6, Batch   3355, Loss  0.851950, Average Loss  0.868963, Time  0.175987
2021-09-11 19:06:44.768760 : Epoch  6, Batch   3356, Loss  0.900173, Average Loss  0.869025, Time  0.182672
2021-09-11 19:06:46.360762 : Epoch  6, Batch   3357, Loss  0.869312, Average Loss  0.869164, Time  0.174111
2021-09-11 19:06:47.972742 : Epoch  6, Batch   3358, Loss  0.866746, Average Loss  0.869113, Time  0.170067
2021-09-11 19:06:49.559084 : Epoch  6, Batch   3359, Loss  0.878683, Average Loss  0.869248, Time  0.170089
2021-09-11 19:06:51.193067 : Epoch  6, Batch   3360, Loss  0.859569, Average Loss  0.869019, Time  0.172488
2021-09-11 19:06:52.914869 : Epoch  6, Batch   3361, Loss  0.874832, Average Loss  0.869190, Time  0.174292
2021-09-11 19:06:54.558046 : Epoch  6, Batch   3362, Loss  0.858888, Average Loss  0.869227, Time  0.170305
2021-09-11 19:06:56.191751 : Epoch  6, Batch   3363, Loss  0.858517, Average Loss  0.869123, Time  0.185204
2021-09-11 19:06:57.807829 : Epoch  6, Batch   3364, Loss  0.851694, Average Loss  0.868946, Time  0.170612
2021-09-11 19:06:59.426749 : Epoch  6, Batch   3365, Loss  0.884913, Average Loss  0.869231, Time  0.173520
2021-09-11 19:07:01.022741 : Epoch  6, Batch   3366, Loss  0.866670, Average Loss  0.869188, Time  0.172604
2021-09-11 19:07:02.614839 : Epoch  6, Batch   3367, Loss  0.828468, Average Loss  0.868985, Time  0.170700
2021-09-11 19:07:04.234790 : Epoch  6, Batch   3368, Loss  0.848296, Average Loss  0.869034, Time  0.172238
2021-09-11 19:07:05.847040 : Epoch  6, Batch   3369, Loss  0.892807, Average Loss  0.869124, Time  0.170612
2021-09-11 19:07:07.458406 : Epoch  6, Batch   3370, Loss  0.868458, Average Loss  0.869218, Time  0.171950
2021-09-11 19:07:09.070832 : Epoch  6, Batch   3371, Loss  0.871215, Average Loss  0.869315, Time  0.169908
2021-09-11 19:07:10.695031 : Epoch  6, Batch   3372, Loss  0.886890, Average Loss  0.869459, Time  0.174245
2021-09-11 19:07:12.284828 : Epoch  6, Batch   3373, Loss  0.866427, Average Loss  0.869463, Time  0.170690
2021-09-11 19:07:13.904032 : Epoch  6, Batch   3374, Loss  0.853618, Average Loss  0.869198, Time  0.172433
2021-09-11 19:07:15.514827 : Epoch  6, Batch   3375, Loss  0.872307, Average Loss  0.869149, Time  0.174028
2021-09-11 19:07:17.128857 : Epoch  6, Batch   3376, Loss  0.828522, Average Loss  0.869029, Time  0.176930
2021-09-11 19:07:18.759738 : Epoch  6, Batch   3377, Loss  0.841116, Average Loss  0.868868, Time  0.170739
2021-09-11 19:07:20.373038 : Epoch  6, Batch   3378, Loss  0.878034, Average Loss  0.868691, Time  0.178909
2021-09-11 19:07:21.985861 : Epoch  6, Batch   3379, Loss  0.871096, Average Loss  0.868666, Time  0.170105
2021-09-11 19:07:23.588031 : Epoch  6, Batch   3380, Loss  0.860473, Average Loss  0.868692, Time  0.173362
2021-09-11 19:07:25.230863 : Epoch  6, Batch   3381, Loss  0.866533, Average Loss  0.868658, Time  0.178016
2021-09-11 19:07:26.865023 : Epoch  6, Batch   3382, Loss  0.901191, Average Loss  0.868802, Time  0.176725
2021-09-11 19:07:28.489197 : Epoch  6, Batch   3383, Loss  0.859595, Average Loss  0.868783, Time  0.169760
2021-09-11 19:07:30.091027 : Epoch  6, Batch   3384, Loss  0.847939, Average Loss  0.868702, Time  0.171247
2021-09-11 19:07:31.724027 : Epoch  6, Batch   3385, Loss  0.883139, Average Loss  0.868801, Time  0.176573
2021-09-11 19:07:33.309249 : Epoch  6, Batch   3386, Loss  0.901150, Average Loss  0.869163, Time  0.170043
2021-09-11 19:07:34.910808 : Epoch  6, Batch   3387, Loss  0.880641, Average Loss  0.869268, Time  0.170955
2021-09-11 19:07:36.518757 : Epoch  6, Batch   3388, Loss  0.852169, Average Loss  0.869126, Time  0.170152
2021-09-11 19:07:38.144778 : Epoch  6, Batch   3389, Loss  0.886362, Average Loss  0.869107, Time  0.175694
2021-09-11 19:07:39.773029 : Epoch  6, Batch   3390, Loss  0.836907, Average Loss  0.869003, Time  0.183761
2021-09-11 19:07:41.394853 : Epoch  6, Batch   3391, Loss  0.857974, Average Loss  0.868911, Time  0.179388
2021-09-11 19:07:43.019816 : Epoch  6, Batch   3392, Loss  0.902187, Average Loss  0.869104, Time  0.177558
2021-09-11 19:07:44.615945 : Epoch  6, Batch   3393, Loss  0.881673, Average Loss  0.869183, Time  0.174573
2021-09-11 19:07:46.210032 : Epoch  6, Batch   3394, Loss  0.834429, Average Loss  0.869055, Time  0.173109
2021-09-11 19:07:47.839034 : Epoch  6, Batch   3395, Loss  0.883112, Average Loss  0.869292, Time  0.169786
2021-09-11 19:07:49.453036 : Epoch  6, Batch   3396, Loss  0.882414, Average Loss  0.869520, Time  0.175613
2021-09-11 19:07:51.060806 : Epoch  6, Batch   3397, Loss  0.879333, Average Loss  0.869461, Time  0.173529
2021-09-11 19:07:52.669799 : Epoch  6, Batch   3398, Loss  0.873464, Average Loss  0.869308, Time  0.183210
2021-09-11 19:07:54.303790 : Epoch  6, Batch   3399, Loss  0.871011, Average Loss  0.869327, Time  0.178392
2021-09-11 19:07:55.901000 : Epoch  6, Batch   3400, Loss  0.863376, Average Loss  0.869290, Time  0.172118
2021-09-11 19:07:57.478742 : Epoch  6, Batch   3401, Loss  0.867538, Average Loss  0.869286, Time  0.172446
2021-09-11 19:07:59.107034 : Epoch  6, Batch   3402, Loss  0.873785, Average Loss  0.869425, Time  0.175319
2021-09-11 19:08:00.709711 : Epoch  6, Batch   3403, Loss  0.861110, Average Loss  0.869353, Time  0.174882
2021-09-11 19:08:02.310032 : Epoch  6, Batch   3404, Loss  0.877663, Average Loss  0.869472, Time  0.170735
2021-09-11 19:08:03.910760 : Epoch  6, Batch   3405, Loss  0.870538, Average Loss  0.869536, Time  0.170629
2021-09-11 19:08:05.520749 : Epoch  6, Batch   3406, Loss  0.840493, Average Loss  0.869493, Time  0.170761
2021-09-11 19:08:07.128033 : Epoch  6, Batch   3407, Loss  0.855301, Average Loss  0.869348, Time  0.173895
2021-09-11 19:08:08.731835 : Epoch  6, Batch   3408, Loss  0.872353, Average Loss  0.869366, Time  0.175287
2021-09-11 19:08:10.333733 : Epoch  6, Batch   3409, Loss  0.876235, Average Loss  0.869404, Time  0.170260
2021-09-11 19:08:11.921817 : Epoch  6, Batch   3410, Loss  0.838086, Average Loss  0.869225, Time  0.169974
2021-09-11 19:08:13.550768 : Epoch  6, Batch   3411, Loss  0.876171, Average Loss  0.869152, Time  0.170435
2021-09-11 19:08:15.150883 : Epoch  6, Batch   3412, Loss  0.855197, Average Loss  0.869101, Time  0.170045
2021-09-11 19:08:16.755226 : Epoch  6, Batch   3413, Loss  0.852821, Average Loss  0.868944, Time  0.175893
2021-09-11 19:08:18.345792 : Epoch  6, Batch   3414, Loss  0.893775, Average Loss  0.868884, Time  0.178489
2021-09-11 19:08:19.963915 : Epoch  6, Batch   3415, Loss  0.877266, Average Loss  0.868822, Time  0.175194
2021-09-11 19:08:21.570020 : Epoch  6, Batch   3416, Loss  0.848316, Average Loss  0.868688, Time  0.169605
2021-09-11 19:08:23.178774 : Epoch  6, Batch   3417, Loss  0.888419, Average Loss  0.868892, Time  0.186414
2021-09-11 19:08:24.800030 : Epoch  6, Batch   3418, Loss  0.875155, Average Loss  0.868854, Time  0.177105
2021-09-11 19:08:26.410885 : Epoch  6, Batch   3419, Loss  0.877337, Average Loss  0.868927, Time  0.173734
2021-09-11 19:08:28.055036 : Epoch  6, Batch   3420, Loss  0.837899, Average Loss  0.868767, Time  0.171010
2021-09-11 19:08:29.691374 : Epoch  6, Batch   3421, Loss  0.848392, Average Loss  0.868679, Time  0.172328
2021-09-11 19:08:31.280031 : Epoch  6, Batch   3422, Loss  0.873398, Average Loss  0.868669, Time  0.173397
2021-09-11 19:08:32.877749 : Epoch  6, Batch   3423, Loss  0.854375, Average Loss  0.868612, Time  0.174728
2021-09-11 19:08:34.491777 : Epoch  6, Batch   3424, Loss  0.850165, Average Loss  0.868689, Time  0.180950
2021-09-11 19:08:36.114030 : Epoch  6, Batch   3425, Loss  0.825618, Average Loss  0.868469, Time  0.171571
2021-09-11 19:08:37.716642 : Epoch  6, Batch   3426, Loss  0.896442, Average Loss  0.868600, Time  0.174210
2021-09-11 19:08:39.340032 : Epoch  6, Batch   3427, Loss  0.868503, Average Loss  0.868510, Time  0.172383
2021-09-11 19:08:40.951798 : Epoch  6, Batch   3428, Loss  0.881327, Average Loss  0.868339, Time  0.171880
2021-09-11 19:08:42.554795 : Epoch  6, Batch   3429, Loss  0.868474, Average Loss  0.868277, Time  0.170455
2021-09-11 19:08:44.171028 : Epoch  6, Batch   3430, Loss  0.892541, Average Loss  0.868419, Time  0.175834
2021-09-11 19:08:45.771764 : Epoch  6, Batch   3431, Loss  0.866719, Average Loss  0.868336, Time  0.173073
2021-09-11 19:08:47.382027 : Epoch  6, Batch   3432, Loss  0.890324, Average Loss  0.868364, Time  0.173324
2021-09-11 19:08:48.999804 : Epoch  6, Batch   3433, Loss  0.861077, Average Loss  0.868119, Time  0.170791
2021-09-11 19:08:50.620034 : Epoch  6, Batch   3434, Loss  0.848374, Average Loss  0.868092, Time  0.175629
2021-09-11 19:08:52.211029 : Epoch  6, Batch   3435, Loss  0.839533, Average Loss  0.867919, Time  0.169827
2021-09-11 19:08:53.808871 : Epoch  6, Batch   3436, Loss  0.872379, Average Loss  0.867820, Time  0.176703
2021-09-11 19:08:55.426949 : Epoch  6, Batch   3437, Loss  0.862406, Average Loss  0.867887, Time  0.170027
2021-09-11 19:08:57.042773 : Epoch  6, Batch   3438, Loss  0.867844, Average Loss  0.867927, Time  0.170862
2021-09-11 19:08:58.643068 : Epoch  6, Batch   3439, Loss  0.856805, Average Loss  0.867953, Time  0.175536
2021-09-11 19:09:00.254845 : Epoch  6, Batch   3440, Loss  0.883592, Average Loss  0.867850, Time  0.176470
2021-09-11 19:09:01.893028 : Epoch  6, Batch   3441, Loss  0.878238, Average Loss  0.867709, Time  0.170378
2021-09-11 19:09:03.516037 : Epoch  6, Batch   3442, Loss  0.868348, Average Loss  0.867650, Time  0.170960
2021-09-11 19:09:05.130853 : Epoch  6, Batch   3443, Loss  0.863029, Average Loss  0.867657, Time  0.176273
2021-09-11 19:09:06.756821 : Epoch  6, Batch   3444, Loss  0.887733, Average Loss  0.868022, Time  0.177830
2021-09-11 19:09:13.844755 : Epoch  6, Batch   3445, Loss  0.864661, Average Loss  0.867980, Time  0.181616
2021-09-11 19:11:53.821880 : CheckPoint: Validation Loss  0.00030020, Best Loss  0.00029019
2021-09-11 19:11:58.985898 : Epoch  6, Batch   1521, Loss  0.856533, Average Loss  0.868993, Time  0.297191
2021-09-11 19:12:05.643604 : Epoch  6, Batch   1522, Loss  0.845428, Average Loss  0.868802, Time  0.374019
2021-09-11 19:12:10.112054 : Epoch  6, Batch   1523, Loss  0.858171, Average Loss  0.868744, Time  0.383207
2021-09-11 19:12:17.295264 : Epoch  6, Batch   1524, Loss  0.875595, Average Loss  0.868908, Time  0.332345
2021-09-11 19:12:24.069024 : Epoch  6, Batch   1525, Loss  0.872320, Average Loss  0.868963, Time  0.255200
2021-09-11 19:12:30.026812 : Epoch  6, Batch   1526, Loss  0.860772, Average Loss  0.868938, Time  0.342253
2021-09-11 19:12:36.230741 : Epoch  6, Batch   1527, Loss  0.887131, Average Loss  0.868893, Time  0.370896
2021-09-11 19:12:40.262899 : Epoch  6, Batch   1528, Loss  0.884520, Average Loss  0.868953, Time  0.255040
2021-09-11 19:12:44.955047 : Epoch  6, Batch   1529, Loss  0.871367, Average Loss  0.868894, Time  0.392873
2021-09-11 19:12:49.389883 : Epoch  6, Batch   1530, Loss  0.866060, Average Loss  0.868899, Time  0.286371
2021-09-11 19:12:54.546765 : Epoch  6, Batch   1531, Loss  0.864400, Average Loss  0.868744, Time  0.272932
2021-09-11 19:13:02.205695 : Epoch  6, Batch   1532, Loss  0.868230, Average Loss  0.868739, Time  0.302901
2021-09-11 19:13:06.896726 : Epoch  6, Batch   1533, Loss  0.863930, Average Loss  0.868797, Time  0.325664
2021-09-11 19:13:11.052092 : Epoch  6, Batch   1534, Loss  0.865944, Average Loss  0.868836, Time  0.332579
2021-09-11 19:13:16.219280 : Epoch  6, Batch   1535, Loss  0.836978, Average Loss  0.868678, Time  0.269840
2021-09-11 19:13:22.145294 : Epoch  6, Batch   1536, Loss  0.872954, Average Loss  0.868553, Time  0.239506
2021-09-11 19:13:26.682816 : Epoch  6, Batch   1537, Loss  0.871340, Average Loss  0.868416, Time  0.260698
2021-09-11 19:13:30.968835 : Epoch  6, Batch   1538, Loss  0.855352, Average Loss  0.868257, Time  0.285370
2021-09-11 19:13:37.123405 : Epoch  6, Batch   1539, Loss  0.867805, Average Loss  0.868361, Time  0.269082
2021-09-11 19:13:42.432396 : Epoch  6, Batch   1540, Loss  0.869642, Average Loss  0.868322, Time  0.241048
2021-09-11 19:13:48.364029 : Epoch  6, Batch   1541, Loss  0.876931, Average Loss  0.868332, Time  0.240801
2021-09-11 19:13:54.598717 : CheckPoint: Validation Loss  0.00058300, Best Loss  0.00057296
2021-09-11 19:13:54.839275 : Epoch  6, Batch   1542, Loss  0.868187, Average Loss  0.868333, Time  0.239716
2021-09-11 19:13:56.247852 : Epoch  6, Batch   3446, Loss  0.865914, Average Loss  0.868009, Time  0.198148
2021-09-11 19:13:57.861934 : Epoch  6, Batch   3447, Loss  0.854408, Average Loss  0.868015, Time  0.170356
2021-09-11 19:13:59.481773 : Epoch  6, Batch   3448, Loss  0.872653, Average Loss  0.868092, Time  0.179676
2021-09-11 19:14:00.816597 : Epoch  6, Batch   1543, Loss  0.890715, Average Loss  0.868476, Time  0.294125
2021-09-11 19:14:01.081022 : Epoch  6, Batch   3449, Loss  0.870386, Average Loss  0.868124, Time  0.169875
2021-09-11 19:14:02.671801 : Epoch  6, Batch   3450, Loss  0.865295, Average Loss  0.868155, Time  0.174639
2021-09-11 19:14:04.288039 : Epoch  6, Batch   3451, Loss  0.871007, Average Loss  0.868226, Time  0.176769
2021-09-11 19:14:05.075935 : Epoch  6, Batch   1544, Loss  0.884697, Average Loss  0.868644, Time  0.313864
2021-09-11 19:14:05.905841 : Epoch  6, Batch   3452, Loss  0.847538, Average Loss  0.868004, Time  0.173060
2021-09-11 19:14:07.517034 : Epoch  6, Batch   3453, Loss  0.871004, Average Loss  0.868238, Time  0.172376
2021-09-11 19:14:09.110869 : Epoch  6, Batch   3454, Loss  0.863269, Average Loss  0.868272, Time  0.169872
2021-09-11 19:14:10.678827 : Epoch  6, Batch   1545, Loss  0.863233, Average Loss  0.868598, Time  0.322490
2021-09-11 19:14:10.713030 : Epoch  6, Batch   3455, Loss  0.889134, Average Loss  0.868354, Time  0.171800
2021-09-11 19:14:12.341034 : Epoch  6, Batch   3456, Loss  0.857571, Average Loss  0.868327, Time  0.174684
2021-09-11 19:14:13.954760 : Epoch  6, Batch   3457, Loss  0.872230, Average Loss  0.868148, Time  0.172963
2021-09-11 19:14:15.581822 : Epoch  6, Batch   3458, Loss  0.853690, Average Loss  0.868182, Time  0.176018
2021-09-11 19:14:17.090465 : Epoch  6, Batch   1546, Loss  0.887129, Average Loss  0.868729, Time  0.391598
2021-09-11 19:14:17.160763 : Epoch  6, Batch   3459, Loss  0.862824, Average Loss  0.868101, Time  0.170132
2021-09-11 19:14:18.737934 : Epoch  6, Batch   3460, Loss  0.868082, Average Loss  0.868198, Time  0.169921
2021-09-11 19:14:20.129054 : Epoch  6, Batch   1547, Loss  0.891650, Average Loss  0.868906, Time  0.293711
2021-09-11 19:14:20.345028 : Epoch  6, Batch   3461, Loss  0.844752, Average Loss  0.868285, Time  0.174113
2021-09-11 19:14:21.956871 : Epoch  6, Batch   3462, Loss  0.880838, Average Loss  0.868279, Time  0.171621
2021-09-11 19:14:23.573742 : Epoch  6, Batch   3463, Loss  0.844279, Average Loss  0.868174, Time  0.178139
2021-09-11 19:14:25.180998 : Epoch  6, Batch   1548, Loss  0.861719, Average Loss  0.868823, Time  0.400917
2021-09-11 19:14:25.222962 : Epoch  6, Batch   3464, Loss  0.826041, Average Loss  0.867976, Time  0.171431
2021-09-11 19:14:26.837020 : Epoch  6, Batch   3465, Loss  0.875181, Average Loss  0.868032, Time  0.176151
2021-09-11 19:14:28.463032 : Epoch  6, Batch   3466, Loss  0.877166, Average Loss  0.868038, Time  0.169698
2021-09-11 19:14:30.077039 : Epoch  6, Batch   3467, Loss  0.863335, Average Loss  0.867940, Time  0.170251
2021-09-11 19:14:31.687032 : Epoch  6, Batch   3468, Loss  0.893002, Average Loss  0.868199, Time  0.170254
2021-09-11 19:14:31.709778 : Epoch  6, Batch   1549, Loss  0.869058, Average Loss  0.868774, Time  0.381923
2021-09-11 19:14:33.305739 : Epoch  6, Batch   3469, Loss  0.875243, Average Loss  0.868233, Time  0.170131
2021-09-11 19:14:34.936806 : Epoch  6, Batch   3470, Loss  0.853609, Average Loss  0.868313, Time  0.176118
2021-09-11 19:14:36.538766 : Epoch  6, Batch   3471, Loss  0.823321, Average Loss  0.868056, Time  0.172792
2021-09-11 19:14:38.156803 : Epoch  6, Batch   3472, Loss  0.848041, Average Loss  0.867910, Time  0.169731
2021-09-11 19:14:38.506201 : Epoch  6, Batch   1550, Loss  0.889555, Average Loss  0.868820, Time  0.264436
2021-09-11 19:14:39.774859 : Epoch  6, Batch   3473, Loss  0.851167, Average Loss  0.867845, Time  0.175878
2021-09-11 19:14:41.360502 : Epoch  6, Batch   3474, Loss  0.868329, Average Loss  0.867986, Time  0.169961
2021-09-11 19:14:42.952032 : Epoch  6, Batch   3475, Loss  0.888112, Average Loss  0.868015, Time  0.177656
2021-09-11 19:14:44.583004 : Epoch  6, Batch   3476, Loss  0.889286, Average Loss  0.868199, Time  0.171926
2021-09-11 19:14:44.664704 : Epoch  6, Batch   1551, Loss  0.858642, Average Loss  0.868910, Time  0.258497
2021-09-11 19:14:46.189048 : Epoch  6, Batch   3477, Loss  0.868783, Average Loss  0.868145, Time  0.169997
2021-09-11 19:14:47.784032 : Epoch  6, Batch   3478, Loss  0.900783, Average Loss  0.868404, Time  0.173850
2021-09-11 19:14:47.969478 : Epoch  6, Batch   1552, Loss  0.861037, Average Loss  0.868883, Time  0.268848
2021-09-11 19:14:49.387955 : Epoch  6, Batch   3479, Loss  0.846410, Average Loss  0.868382, Time  0.174658
2021-09-11 19:14:51.001039 : Epoch  6, Batch   3480, Loss  0.885819, Average Loss  0.868429, Time  0.170903
2021-09-11 19:14:52.606028 : Epoch  6, Batch   3481, Loss  0.867129, Average Loss  0.868341, Time  0.169530
2021-09-11 19:14:53.064685 : Epoch  6, Batch   1553, Loss  0.868710, Average Loss  0.868855, Time  0.293879
2021-09-11 19:14:54.228774 : Epoch  6, Batch   3482, Loss  0.857173, Average Loss  0.868259, Time  0.173670
2021-09-11 19:14:55.857027 : Epoch  6, Batch   3483, Loss  0.897136, Average Loss  0.868413, Time  0.173923
2021-09-11 19:14:57.456028 : Epoch  6, Batch   3484, Loss  0.865774, Average Loss  0.868506, Time  0.169982
2021-09-11 19:14:59.070837 : Epoch  6, Batch   3485, Loss  0.881110, Average Loss  0.868563, Time  0.171108
2021-09-11 19:14:59.524149 : Epoch  6, Batch   1554, Loss  0.877931, Average Loss  0.868895, Time  0.457867
2021-09-11 19:15:00.671770 : Epoch  6, Batch   3486, Loss  0.860725, Average Loss  0.868501, Time  0.174325
2021-09-11 19:15:02.266029 : Epoch  6, Batch   3487, Loss  0.885076, Average Loss  0.868676, Time  0.174172
2021-09-11 19:15:03.646900 : Epoch  6, Batch   1555, Loss  0.869164, Average Loss  0.868883, Time  0.317506
2021-09-11 19:15:03.872024 : Epoch  6, Batch   3488, Loss  0.842722, Average Loss  0.868572, Time  0.176452
2021-09-11 19:15:05.449945 : Epoch  6, Batch   3489, Loss  0.871808, Average Loss  0.868657, Time  0.171726
2021-09-11 19:15:07.021767 : Epoch  6, Batch   3490, Loss  0.854595, Average Loss  0.868688, Time  0.169890
2021-09-11 19:15:08.623032 : Epoch  6, Batch   3491, Loss  0.894494, Average Loss  0.868739, Time  0.175978
2021-09-11 19:15:09.215027 : Epoch  6, Batch   1556, Loss  0.872376, Average Loss  0.868884, Time  0.319231
2021-09-11 19:15:10.223034 : Epoch  6, Batch   3492, Loss  0.877011, Average Loss  0.868598, Time  0.172610
2021-09-11 19:15:11.797184 : Epoch  6, Batch   3493, Loss  0.879383, Average Loss  0.868867, Time  0.170009
2021-09-11 19:15:13.416773 : Epoch  6, Batch   3494, Loss  0.857285, Average Loss  0.868673, Time  0.178973
2021-09-11 19:15:15.015030 : Epoch  6, Batch   3495, Loss  0.890092, Average Loss  0.868752, Time  0.173895
2021-09-11 19:15:15.056691 : Epoch  6, Batch   1557, Loss  0.876339, Average Loss  0.868856, Time  0.239463
2021-09-11 19:15:16.628036 : Epoch  6, Batch   3496, Loss  0.859792, Average Loss  0.868773, Time  0.172788
2021-09-11 19:15:18.247874 : Epoch  6, Batch   3497, Loss  0.878879, Average Loss  0.868688, Time  0.169629
2021-09-11 19:15:18.997753 : Epoch  6, Batch   1558, Loss  0.876886, Average Loss  0.868881, Time  0.266841
2021-09-11 19:15:19.842068 : Epoch  6, Batch   3498, Loss  0.862980, Average Loss  0.868607, Time  0.175071
2021-09-11 19:15:21.491800 : Epoch  6, Batch   3499, Loss  0.845179, Average Loss  0.868491, Time  0.169845
2021-09-11 19:15:23.088032 : Epoch  6, Batch   3500, Loss  0.904375, Average Loss  0.868596, Time  0.172827
2021-09-11 19:15:24.699032 : Epoch  6, Batch   3501, Loss  0.897885, Average Loss  0.868570, Time  0.172242
2021-09-11 19:15:25.459696 : Epoch  6, Batch   1559, Loss  0.866941, Average Loss  0.868854, Time  0.412034
2021-09-11 19:15:26.296809 : Epoch  6, Batch   3502, Loss  0.866353, Average Loss  0.868500, Time  0.170210
2021-09-11 19:15:27.899033 : Epoch  6, Batch   3503, Loss  0.845867, Average Loss  0.868449, Time  0.170494
2021-09-11 19:15:29.510027 : Epoch  6, Batch   3504, Loss  0.892299, Average Loss  0.868623, Time  0.169851
2021-09-11 19:15:31.135818 : Epoch  6, Batch   3505, Loss  0.868147, Average Loss  0.868508, Time  0.170070
2021-09-11 19:15:31.994743 : Epoch  6, Batch   1560, Loss  0.869280, Average Loss  0.868949, Time  0.254859
2021-09-11 19:15:32.745030 : Epoch  6, Batch   3506, Loss  0.873759, Average Loss  0.868555, Time  0.173785
2021-09-11 19:15:34.363747 : Epoch  6, Batch   3507, Loss  0.856801, Average Loss  0.868495, Time  0.185304
2021-09-11 19:15:35.984763 : Epoch  6, Batch   3508, Loss  0.843048, Average Loss  0.868388, Time  0.170402
2021-09-11 19:15:37.413853 : Epoch  6, Batch   1561, Loss  0.848463, Average Loss  0.868903, Time  0.333227
2021-09-11 19:15:37.589771 : Epoch  6, Batch   3509, Loss  0.860501, Average Loss  0.868466, Time  0.172708
2021-09-11 19:15:39.191759 : Epoch  6, Batch   3510, Loss  0.883004, Average Loss  0.868629, Time  0.170557
2021-09-11 19:15:40.795046 : Epoch  6, Batch   3511, Loss  0.844735, Average Loss  0.868467, Time  0.170676
2021-09-11 19:15:42.395082 : Epoch  6, Batch   3512, Loss  0.870823, Average Loss  0.868433, Time  0.174071
2021-09-11 19:15:42.618787 : Epoch  6, Batch   1562, Loss  0.859087, Average Loss  0.868785, Time  0.252349
2021-09-11 19:15:43.999849 : Epoch  6, Batch   3513, Loss  0.852473, Average Loss  0.868446, Time  0.171539
2021-09-11 19:15:45.616902 : Epoch  6, Batch   3514, Loss  0.871807, Average Loss  0.868344, Time  0.177847
2021-09-11 19:15:47.230039 : Epoch  6, Batch   3515, Loss  0.846053, Average Loss  0.868237, Time  0.176627
2021-09-11 19:15:47.480134 : Epoch  6, Batch   1563, Loss  0.857529, Average Loss  0.868815, Time  0.332801
2021-09-11 19:15:48.846781 : Epoch  6, Batch   3516, Loss  0.882107, Average Loss  0.868282, Time  0.169976
2021-09-11 19:15:50.452761 : Epoch  6, Batch   3517, Loss  0.870341, Average Loss  0.868386, Time  0.176301
2021-09-11 19:15:52.050754 : Epoch  6, Batch   3518, Loss  0.869789, Average Loss  0.868271, Time  0.170073
2021-09-11 19:15:53.172899 : Epoch  6, Batch   1564, Loss  0.889346, Average Loss  0.868980, Time  0.382240
2021-09-11 19:15:53.652036 : Epoch  6, Batch   3519, Loss  0.894436, Average Loss  0.868380, Time  0.170017
2021-09-11 19:15:55.263068 : Epoch  6, Batch   3520, Loss  0.880722, Average Loss  0.868471, Time  0.170621
2021-09-11 19:15:56.906885 : Epoch  6, Batch   3521, Loss  0.847598, Average Loss  0.868392, Time  0.170408
2021-09-11 19:15:56.960856 : Epoch  6, Batch   1565, Loss  0.869505, Average Loss  0.869037, Time  0.355602
2021-09-11 19:15:58.500054 : Epoch  6, Batch   3522, Loss  0.895816, Average Loss  0.868661, Time  0.170144
2021-09-11 19:16:00.157841 : Epoch  6, Batch   3523, Loss  0.845119, Average Loss  0.868505, Time  0.174649
2021-09-11 19:16:01.801964 : Epoch  6, Batch   3524, Loss  0.844736, Average Loss  0.868261, Time  0.177444
2021-09-11 19:16:01.824150 : Epoch  6, Batch   1566, Loss  0.855586, Average Loss  0.869051, Time  0.300246
2021-09-11 19:16:03.437053 : Epoch  6, Batch   3525, Loss  0.882122, Average Loss  0.868213, Time  0.178151
2021-09-11 19:16:04.458016 : Epoch  6, Batch   1567, Loss  0.872517, Average Loss  0.869159, Time  0.257164
2021-09-11 19:16:05.066966 : Epoch  6, Batch   3526, Loss  0.889275, Average Loss  0.868215, Time  0.171080
2021-09-11 19:16:06.684796 : Epoch  6, Batch   3527, Loss  0.850965, Average Loss  0.868205, Time  0.177719
2021-09-11 19:16:08.267840 : Epoch  6, Batch   3528, Loss  0.863455, Average Loss  0.868029, Time  0.175191
2021-09-11 19:16:09.901771 : Epoch  6, Batch   3529, Loss  0.883623, Average Loss  0.868046, Time  0.189199
2021-09-11 19:16:11.231362 : Epoch  6, Batch   1568, Loss  0.861047, Average Loss  0.869022, Time  0.278360
2021-09-11 19:16:11.519050 : Epoch  6, Batch   3530, Loss  0.877157, Average Loss  0.868180, Time  0.173922
2021-09-11 19:16:13.107902 : Epoch  6, Batch   3531, Loss  0.859668, Average Loss  0.868057, Time  0.175408
2021-09-11 19:16:14.703043 : Epoch  6, Batch   3532, Loss  0.860085, Average Loss  0.868028, Time  0.173552
2021-09-11 19:16:16.314810 : Epoch  6, Batch   3533, Loss  0.880721, Average Loss  0.867957, Time  0.179880
2021-09-11 19:16:17.421042 : Epoch  6, Batch   1569, Loss  0.859269, Average Loss  0.868974, Time  0.259930
2021-09-11 19:16:17.930844 : Epoch  6, Batch   3534, Loss  0.868201, Average Loss  0.867921, Time  0.173398
2021-09-11 19:16:19.533054 : Epoch  6, Batch   3535, Loss  0.871496, Average Loss  0.868043, Time  0.178962
2021-09-11 19:16:21.126035 : Epoch  6, Batch   3536, Loss  0.859584, Average Loss  0.868007, Time  0.169928
2021-09-11 19:16:22.100755 : Epoch  6, Batch   1570, Loss  0.875849, Average Loss  0.868948, Time  0.297236
2021-09-11 19:16:22.747763 : Epoch  6, Batch   3537, Loss  0.890976, Average Loss  0.868150, Time  0.172489
2021-09-11 19:16:24.349029 : Epoch  6, Batch   3538, Loss  0.869995, Average Loss  0.868052, Time  0.171188
2021-09-11 19:16:25.966836 : Epoch  6, Batch   3539, Loss  0.878532, Average Loss  0.868104, Time  0.170574
2021-09-11 19:16:26.761124 : Epoch  6, Batch   1571, Loss  0.854726, Average Loss  0.868885, Time  0.241553
2021-09-11 19:16:27.603025 : Epoch  6, Batch   3540, Loss  0.877998, Average Loss  0.868080, Time  0.171266
2021-09-11 19:16:29.224036 : Epoch  6, Batch   3541, Loss  0.871391, Average Loss  0.868053, Time  0.169582
2021-09-11 19:16:30.833034 : Epoch  6, Batch   3542, Loss  0.868798, Average Loss  0.867959, Time  0.173658
2021-09-11 19:16:31.906806 : Epoch  6, Batch   1572, Loss  0.860202, Average Loss  0.868825, Time  0.276251
2021-09-11 19:16:32.450030 : Epoch  6, Batch   3543, Loss  0.868865, Average Loss  0.868078, Time  0.173825
2021-09-11 19:16:34.075023 : Epoch  6, Batch   3544, Loss  0.885512, Average Loss  0.868020, Time  0.182668
2021-09-11 19:16:35.679750 : Epoch  6, Batch   3545, Loss  0.873828, Average Loss  0.868123, Time  0.173174
2021-09-11 19:16:37.605142 : Epoch  6, Batch   1573, Loss  0.874389, Average Loss  0.868909, Time  0.360424
2021-09-11 19:16:42.356245 : Epoch  6, Batch   1574, Loss  0.887378, Average Loss  0.869031, Time  0.294380
2021-09-11 19:16:45.308001 : Epoch  6, Batch   1575, Loss  0.865820, Average Loss  0.869111, Time  0.266845
2021-09-11 19:16:51.351160 : Epoch  6, Batch   1576, Loss  0.884899, Average Loss  0.869227, Time  0.259540
2021-09-11 19:16:57.140019 : Epoch  6, Batch   1577, Loss  0.848672, Average Loss  0.869106, Time  0.265115
2021-09-11 19:17:03.529270 : Epoch  6, Batch   1578, Loss  0.880047, Average Loss  0.869212, Time  0.305569
2021-09-11 19:17:09.590737 : Epoch  6, Batch   1579, Loss  0.869181, Average Loss  0.869260, Time  0.238203
2021-09-11 19:17:15.244379 : Epoch  6, Batch   1580, Loss  0.887760, Average Loss  0.869219, Time  0.240656
2021-09-11 19:17:20.472879 : Epoch  6, Batch   1581, Loss  0.860793, Average Loss  0.869314, Time  0.275401
2021-09-11 19:17:25.691339 : Epoch  6, Batch   1582, Loss  0.867034, Average Loss  0.869308, Time  0.327985
2021-09-11 19:17:30.585823 : Epoch  6, Batch   1583, Loss  0.855528, Average Loss  0.869265, Time  0.368956
2021-09-11 19:17:34.487968 : Epoch  6, Batch   1584, Loss  0.862009, Average Loss  0.869197, Time  0.281178
2021-09-11 19:17:40.617104 : Epoch  6, Batch   1585, Loss  0.870628, Average Loss  0.869236, Time  0.319180
2021-09-11 19:17:46.590272 : Epoch  6, Batch   1586, Loss  0.866546, Average Loss  0.869201, Time  0.317058
2021-09-11 19:17:53.440454 : Epoch  6, Batch   1587, Loss  0.859115, Average Loss  0.869141, Time  0.261819
2021-09-11 19:17:59.167215 : Epoch  6, Batch   1588, Loss  0.878588, Average Loss  0.869201, Time  0.281829
2021-09-11 19:18:04.703997 : Epoch  6, Batch   1589, Loss  0.871294, Average Loss  0.869213, Time  0.328186
2021-09-11 19:18:10.860872 : Epoch  6, Batch   1590, Loss  0.871797, Average Loss  0.869244, Time  0.351298
2021-09-11 19:18:17.112871 : Epoch  6, Batch   1591, Loss  0.879791, Average Loss  0.869233, Time  0.274940
2021-09-11 19:18:23.467213 : Epoch  6, Batch   1592, Loss  0.867304, Average Loss  0.869288, Time  0.265586
2021-09-11 19:18:26.957955 : Epoch  6, Batch   1593, Loss  0.888212, Average Loss  0.869391, Time  0.270056
2021-09-11 19:18:32.725732 : Epoch  6, Batch   1594, Loss  0.866244, Average Loss  0.869345, Time  0.285366
2021-09-11 19:18:37.496975 : Epoch  6, Batch   1595, Loss  0.886687, Average Loss  0.869517, Time  0.268641
2021-09-11 19:18:43.683064 : Epoch  6, Batch   1596, Loss  0.872840, Average Loss  0.869535, Time  0.338553
2021-09-11 19:18:47.412894 : Epoch  6, Batch   1597, Loss  0.871674, Average Loss  0.869536, Time  0.301110
2021-09-11 19:18:53.119632 : Epoch  6, Batch   1598, Loss  0.865483, Average Loss  0.869523, Time  0.314859
2021-09-11 19:18:57.792356 : Epoch  6, Batch   1599, Loss  0.845159, Average Loss  0.869367, Time  0.348600
2021-09-11 19:19:02.941235 : Epoch  6, Batch   1600, Loss  0.873044, Average Loss  0.869465, Time  0.271457
2021-09-11 19:19:10.229043 : Epoch  6, Batch   1601, Loss  0.847639, Average Loss  0.869335, Time  0.372421
2021-09-11 19:19:16.074483 : Epoch  6, Batch   1602, Loss  0.867271, Average Loss  0.869367, Time  0.485316
2021-09-11 19:19:22.708097 : Epoch  6, Batch   1603, Loss  0.875142, Average Loss  0.869338, Time  0.358921
2021-09-11 19:19:28.539186 : Epoch  6, Batch   1604, Loss  0.858520, Average Loss  0.869314, Time  0.316888
2021-09-11 19:19:35.518584 : Epoch  6, Batch   1605, Loss  0.869616, Average Loss  0.869313, Time  0.279486
2021-09-11 19:19:41.939516 : Epoch  6, Batch   1606, Loss  0.860974, Average Loss  0.869130, Time  0.416530
2021-09-11 19:19:46.712961 : Epoch  6, Batch   1607, Loss  0.865749, Average Loss  0.869185, Time  0.434012
2021-09-11 19:19:52.570885 : Epoch  6, Batch   1608, Loss  0.893348, Average Loss  0.869250, Time  0.244371
2021-09-11 19:19:58.233545 : Epoch  6, Batch   1609, Loss  0.852539, Average Loss  0.869171, Time  0.325127
2021-09-11 19:20:02.265990 : Epoch  6, Batch   1610, Loss  0.874723, Average Loss  0.869239, Time  0.360914
2021-09-11 19:20:07.633037 : Epoch  6, Batch   1611, Loss  0.883916, Average Loss  0.869288, Time  0.240105
2021-09-11 19:20:14.338201 : Epoch  6, Batch   1612, Loss  0.873228, Average Loss  0.869318, Time  0.361968
2021-09-11 19:20:20.473928 : Epoch  6, Batch   1613, Loss  0.873579, Average Loss  0.869373, Time  0.453255
2021-09-11 19:20:25.891982 : Epoch  6, Batch   1614, Loss  0.869155, Average Loss  0.869431, Time  0.313144
2021-09-11 19:20:29.657849 : Epoch  6, Batch   1615, Loss  0.865809, Average Loss  0.869431, Time  0.262342
2021-09-11 19:20:35.762073 : Epoch  6, Batch   1616, Loss  0.873750, Average Loss  0.869422, Time  0.244274
2021-09-11 19:20:42.851173 : Epoch  6, Batch   1617, Loss  0.878217, Average Loss  0.869474, Time  0.375216
2021-09-11 19:20:47.719428 : Epoch  6, Batch   1618, Loss  0.855976, Average Loss  0.869409, Time  0.250290
2021-09-11 19:20:54.239846 : Epoch  6, Batch   1619, Loss  0.875365, Average Loss  0.869512, Time  0.384951
2021-09-11 19:20:57.746013 : Epoch  6, Batch   1620, Loss  0.877102, Average Loss  0.869583, Time  0.309673
2021-09-11 19:21:17.114728 : CheckPoint: Validation Loss  0.00059768, Best Loss  0.00057296
2021-09-11 19:21:18.745942 : Epoch  6, Batch   3546, Loss  0.869743, Average Loss  0.868114, Time  0.184279
2021-09-11 19:21:20.371744 : Epoch  6, Batch   3547, Loss  0.835181, Average Loss  0.867775, Time  0.171578
2021-09-11 19:21:21.962815 : Epoch  6, Batch   3548, Loss  0.889561, Average Loss  0.868071, Time  0.169916
2021-09-11 19:21:23.561022 : Epoch  6, Batch   3549, Loss  0.875975, Average Loss  0.868023, Time  0.174192
2021-09-11 19:21:25.154853 : Epoch  6, Batch   3550, Loss  0.888556, Average Loss  0.868201, Time  0.170429
2021-09-11 19:21:26.774775 : Epoch  6, Batch   3551, Loss  0.873918, Average Loss  0.868258, Time  0.171830
2021-09-11 19:21:28.375769 : Epoch  6, Batch   3552, Loss  0.841865, Average Loss  0.868072, Time  0.171169
2021-09-11 19:21:29.972027 : Epoch  6, Batch   3553, Loss  0.859302, Average Loss  0.868103, Time  0.171415
2021-09-11 19:21:31.580842 : Epoch  6, Batch   3554, Loss  0.880647, Average Loss  0.867962, Time  0.175699
2021-09-11 19:21:33.192024 : Epoch  6, Batch   3555, Loss  0.867175, Average Loss  0.868038, Time  0.172654
2021-09-11 19:21:34.796789 : Epoch  6, Batch   3556, Loss  0.871931, Average Loss  0.867897, Time  0.178530
2021-09-11 19:21:36.413032 : Epoch  6, Batch   3557, Loss  0.899138, Average Loss  0.868046, Time  0.173732
2021-09-11 19:21:38.036741 : Epoch  6, Batch   3558, Loss  0.859805, Average Loss  0.868012, Time  0.170198
2021-09-11 19:21:39.659857 : Epoch  6, Batch   3559, Loss  0.882974, Average Loss  0.868033, Time  0.174769
2021-09-11 19:21:41.272100 : Epoch  6, Batch   3560, Loss  0.878735, Average Loss  0.868129, Time  0.176216
2021-09-11 19:21:42.891754 : Epoch  6, Batch   3561, Loss  0.871853, Average Loss  0.868114, Time  0.172032
2021-09-11 19:21:44.511840 : Epoch  6, Batch   3562, Loss  0.881087, Average Loss  0.868225, Time  0.174953
2021-09-11 19:21:46.112039 : Epoch  6, Batch   3563, Loss  0.831084, Average Loss  0.868088, Time  0.172168
2021-09-11 19:21:47.708803 : Epoch  6, Batch   3564, Loss  0.870371, Average Loss  0.868181, Time  0.169637
2021-09-11 19:21:49.329830 : Epoch  6, Batch   3565, Loss  0.897564, Average Loss  0.868245, Time  0.177813
2021-09-11 19:21:50.955033 : Epoch  6, Batch   3566, Loss  0.872769, Average Loss  0.868275, Time  0.182800
2021-09-11 19:21:52.546043 : Epoch  6, Batch   3567, Loss  0.854390, Average Loss  0.868405, Time  0.173513
2021-09-11 19:21:54.156870 : Epoch  6, Batch   3568, Loss  0.899760, Average Loss  0.868662, Time  0.175858
2021-09-11 19:21:55.804032 : Epoch  6, Batch   3569, Loss  0.878750, Average Loss  0.868592, Time  0.181502
2021-09-11 19:21:57.422030 : Epoch  6, Batch   3570, Loss  0.862325, Average Loss  0.868561, Time  0.169697
2021-09-11 19:21:59.044843 : Epoch  6, Batch   3571, Loss  0.882241, Average Loss  0.868616, Time  0.176945
2021-09-11 19:22:00.643035 : Epoch  6, Batch   3572, Loss  0.862263, Average Loss  0.868493, Time  0.170177
2021-09-11 19:22:02.246780 : Epoch  6, Batch   3573, Loss  0.888590, Average Loss  0.868604, Time  0.172006
2021-09-11 19:22:03.870746 : Epoch  6, Batch   3574, Loss  0.880356, Average Loss  0.868738, Time  0.170379
2021-09-11 19:22:05.486798 : Epoch  6, Batch   3575, Loss  0.850336, Average Loss  0.868628, Time  0.172690
2021-09-11 19:22:07.089033 : Epoch  6, Batch   3576, Loss  0.873271, Average Loss  0.868851, Time  0.178996
2021-09-11 19:22:08.690863 : Epoch  6, Batch   3577, Loss  0.861561, Average Loss  0.868954, Time  0.171947
2021-09-11 19:22:10.294759 : Epoch  6, Batch   3578, Loss  0.859203, Average Loss  0.868859, Time  0.174080
2021-09-11 19:22:11.891111 : Epoch  6, Batch   3579, Loss  0.903102, Average Loss  0.869020, Time  0.170164
2021-09-11 19:22:13.499036 : Epoch  6, Batch   3580, Loss  0.848832, Average Loss  0.868961, Time  0.174627
2021-09-11 19:22:15.124037 : Epoch  6, Batch   3581, Loss  0.875602, Average Loss  0.869007, Time  0.169995
2021-09-11 19:22:16.744031 : Epoch  6, Batch   3582, Loss  0.850949, Average Loss  0.868755, Time  0.180729
2021-09-11 19:22:18.346037 : Epoch  6, Batch   3583, Loss  0.871654, Average Loss  0.868816, Time  0.171894
2021-09-11 19:22:19.974042 : Epoch  6, Batch   3584, Loss  0.851863, Average Loss  0.868835, Time  0.189533
2021-09-11 19:22:21.591032 : Epoch  6, Batch   3585, Loss  0.882633, Average Loss  0.868833, Time  0.169891
2021-09-11 19:22:23.187041 : Epoch  6, Batch   3586, Loss  0.870479, Average Loss  0.868679, Time  0.170397
2021-09-11 19:22:24.810939 : Epoch  6, Batch   3587, Loss  0.865716, Average Loss  0.868605, Time  0.178116
2021-09-11 19:22:26.404267 : Epoch  6, Batch   3588, Loss  0.872519, Average Loss  0.868707, Time  0.170143
2021-09-11 19:22:27.978027 : Epoch  6, Batch   3589, Loss  0.848086, Average Loss  0.868515, Time  0.169992
2021-09-11 19:22:29.561068 : Epoch  6, Batch   3590, Loss  0.868696, Average Loss  0.868674, Time  0.172980
2021-09-11 19:22:31.180048 : Epoch  6, Batch   3591, Loss  0.856066, Average Loss  0.868665, Time  0.170079
2021-09-11 19:22:32.814947 : Epoch  6, Batch   3592, Loss  0.849175, Average Loss  0.868400, Time  0.171191
2021-09-11 19:22:34.419814 : Epoch  6, Batch   3593, Loss  0.880200, Average Loss  0.868392, Time  0.174519
2021-09-11 19:22:36.055024 : Epoch  6, Batch   3594, Loss  0.872057, Average Loss  0.868580, Time  0.171872
2021-09-11 19:22:37.680802 : Epoch  6, Batch   3595, Loss  0.859890, Average Loss  0.868464, Time  0.180903
2021-09-11 19:22:39.278110 : Epoch  6, Batch   3596, Loss  0.854565, Average Loss  0.868325, Time  0.170092
2021-09-11 19:22:40.898752 : Epoch  6, Batch   3597, Loss  0.873177, Average Loss  0.868294, Time  0.171851
2021-09-11 19:22:42.529845 : Epoch  6, Batch   3598, Loss  0.866825, Average Loss  0.868261, Time  0.187536
2021-09-11 19:22:44.138750 : Epoch  6, Batch   3599, Loss  0.865488, Average Loss  0.868233, Time  0.170262
2021-09-11 19:22:45.746759 : Epoch  6, Batch   3600, Loss  0.876203, Average Loss  0.868298, Time  0.170183
2021-09-11 19:22:47.356048 : Epoch  6, Batch   3601, Loss  0.891031, Average Loss  0.868415, Time  0.171323
2021-09-11 19:22:48.989767 : Epoch  6, Batch   3602, Loss  0.833581, Average Loss  0.868214, Time  0.179533
2021-09-11 19:22:50.672787 : Epoch  6, Batch   3603, Loss  0.901035, Average Loss  0.868414, Time  0.234940
2021-09-11 19:22:52.294793 : Epoch  6, Batch   3604, Loss  0.905520, Average Loss  0.868553, Time  0.170047
2021-09-11 19:22:53.906829 : Epoch  6, Batch   3605, Loss  0.844431, Average Loss  0.868422, Time  0.170142
2021-09-11 19:22:55.543776 : Epoch  6, Batch   3606, Loss  0.894367, Average Loss  0.868692, Time  0.178572
2021-09-11 19:22:57.164938 : Epoch  6, Batch   3607, Loss  0.878798, Average Loss  0.868809, Time  0.173378
2021-09-11 19:22:58.782796 : Epoch  6, Batch   3608, Loss  0.850643, Average Loss  0.868701, Time  0.170150
2021-09-11 19:23:00.384096 : Epoch  6, Batch   3609, Loss  0.857907, Average Loss  0.868609, Time  0.171751
2021-09-11 19:23:01.978785 : Epoch  6, Batch   3610, Loss  0.857039, Average Loss  0.868704, Time  0.171758
2021-09-11 19:23:03.575070 : Epoch  6, Batch   3611, Loss  0.857581, Average Loss  0.868611, Time  0.170799
2021-09-11 19:23:05.172064 : Epoch  6, Batch   3612, Loss  0.874443, Average Loss  0.868707, Time  0.172902
2021-09-11 19:23:06.779833 : Epoch  6, Batch   3613, Loss  0.908697, Average Loss  0.868986, Time  0.169988
2021-09-11 19:23:08.392034 : Epoch  6, Batch   3614, Loss  0.854060, Average Loss  0.868788, Time  0.176041
2021-09-11 19:23:10.024792 : Epoch  6, Batch   3615, Loss  0.861106, Average Loss  0.868707, Time  0.170272
2021-09-11 19:23:11.640053 : Epoch  6, Batch   3616, Loss  0.882507, Average Loss  0.868878, Time  0.171602
2021-09-11 19:23:13.243775 : Epoch  6, Batch   3617, Loss  0.832441, Average Loss  0.868598, Time  0.170142
2021-09-11 19:23:14.832020 : Epoch  6, Batch   3618, Loss  0.883959, Average Loss  0.868642, Time  0.175090
2021-09-11 19:23:16.416810 : Epoch  6, Batch   3619, Loss  0.870892, Average Loss  0.868610, Time  0.174782
2021-09-11 19:23:18.007796 : Epoch  6, Batch   3620, Loss  0.860704, Average Loss  0.868724, Time  0.180266
2021-09-11 19:23:19.580340 : Epoch  6, Batch   3621, Loss  0.882560, Average Loss  0.868895, Time  0.170717
2021-09-11 19:23:21.178862 : Epoch  6, Batch   3622, Loss  0.880396, Average Loss  0.868930, Time  0.170290
2021-09-11 19:23:22.774836 : Epoch  6, Batch   3623, Loss  0.868590, Average Loss  0.869001, Time  0.169962
2021-09-11 19:23:24.384755 : Epoch  6, Batch   3624, Loss  0.857182, Average Loss  0.869036, Time  0.181668
2021-09-11 19:23:25.969871 : Epoch  6, Batch   3625, Loss  0.871270, Average Loss  0.869264, Time  0.170574
2021-09-11 19:23:27.566739 : Epoch  6, Batch   3626, Loss  0.868469, Average Loss  0.869124, Time  0.172248
2021-09-11 19:23:29.160772 : Epoch  6, Batch   3627, Loss  0.867045, Average Loss  0.869117, Time  0.170470
2021-09-11 19:23:30.776067 : Epoch  6, Batch   3628, Loss  0.885147, Average Loss  0.869136, Time  0.169984
2021-09-11 19:23:32.393060 : Epoch  6, Batch   3629, Loss  0.858303, Average Loss  0.869085, Time  0.172625
2021-09-11 19:23:34.025943 : Epoch  6, Batch   3630, Loss  0.876852, Average Loss  0.869007, Time  0.175549
2021-09-11 19:23:35.664937 : Epoch  6, Batch   3631, Loss  0.874545, Average Loss  0.869046, Time  0.170076
2021-09-11 19:23:37.311846 : Epoch  6, Batch   3632, Loss  0.857059, Average Loss  0.868880, Time  0.170464
2021-09-11 19:23:38.927765 : Epoch  6, Batch   3633, Loss  0.866467, Average Loss  0.868907, Time  0.169991
2021-09-11 19:23:40.541810 : Epoch  6, Batch   3634, Loss  0.873979, Average Loss  0.869035, Time  0.171995
2021-09-11 19:23:42.169024 : Epoch  6, Batch   3635, Loss  0.877017, Average Loss  0.869222, Time  0.171922
2021-09-11 19:23:43.765845 : Epoch  6, Batch   3636, Loss  0.860353, Average Loss  0.869162, Time  0.170483
2021-09-11 19:23:45.376032 : Epoch  6, Batch   3637, Loss  0.872195, Average Loss  0.869211, Time  0.171851
2021-09-11 19:23:46.998787 : Epoch  6, Batch   3638, Loss  0.887204, Average Loss  0.869308, Time  0.176524
2021-09-11 19:23:48.609797 : Epoch  6, Batch   3639, Loss  0.882855, Average Loss  0.869438, Time  0.170337
2021-09-11 19:23:50.210813 : Epoch  6, Batch   3640, Loss  0.866627, Average Loss  0.869353, Time  0.171592
2021-09-11 19:23:51.818772 : Epoch  6, Batch   3641, Loss  0.854856, Average Loss  0.869236, Time  0.172747
2021-09-11 19:23:53.526079 : Epoch  6, Batch   3642, Loss  0.825530, Average Loss  0.869022, Time  0.171628
2021-09-11 19:23:55.145847 : Epoch  6, Batch   3643, Loss  0.852598, Average Loss  0.868970, Time  0.169972
2021-09-11 19:23:56.755032 : Epoch  6, Batch   3644, Loss  0.883401, Average Loss  0.868948, Time  0.172599
2021-09-11 19:23:58.353937 : Epoch  6, Batch   3645, Loss  0.879573, Average Loss  0.869023, Time  0.171160
2021-09-11 19:28:39.712732 : CheckPoint: Validation Loss  0.00057266, Best Loss  0.00057266
2021-09-11 19:28:39.803635 : Best Model Updated
2021-09-11 19:28:42.601900 : Epoch  6, Batch   3646, Loss  0.858070, Average Loss  0.868984, Time  0.178199
2021-09-11 19:28:44.199856 : Epoch  6, Batch   3647, Loss  0.870093, Average Loss  0.869062, Time  0.171015
2021-09-11 19:28:45.800848 : Epoch  6, Batch   3648, Loss  0.856339, Average Loss  0.868980, Time  0.171827
2021-09-11 19:28:47.397792 : Epoch  6, Batch   3649, Loss  0.889727, Average Loss  0.869077, Time  0.170761
2021-09-11 19:28:48.998889 : Epoch  6, Batch   3650, Loss  0.885202, Average Loss  0.869177, Time  0.170154
2021-09-11 19:28:50.596022 : Epoch  6, Batch   3651, Loss  0.853448, Average Loss  0.869089, Time  0.169786
2021-09-11 19:28:52.193046 : Epoch  6, Batch   3652, Loss  0.862438, Average Loss  0.869163, Time  0.174001
2021-09-11 19:28:53.808040 : Epoch  6, Batch   3653, Loss  0.845311, Average Loss  0.869035, Time  0.171918
2021-09-11 19:28:55.401832 : Epoch  6, Batch   3654, Loss  0.858487, Average Loss  0.869011, Time  0.170166
2021-09-11 19:28:57.007878 : Epoch  6, Batch   3655, Loss  0.872535, Average Loss  0.868928, Time  0.178951
2021-09-11 19:28:58.652897 : Epoch  6, Batch   3656, Loss  0.866010, Average Loss  0.868970, Time  0.177650
2021-09-11 19:29:00.253824 : Epoch  6, Batch   3657, Loss  0.885028, Average Loss  0.869034, Time  0.174633
2021-09-11 19:29:01.879060 : Epoch  6, Batch   3658, Loss  0.860092, Average Loss  0.869066, Time  0.181789
2021-09-11 19:29:03.482060 : Epoch  6, Batch   3659, Loss  0.848346, Average Loss  0.868994, Time  0.172920
2021-09-11 19:29:05.064966 : Epoch  6, Batch   3660, Loss  0.853457, Average Loss  0.868921, Time  0.170093
2021-09-11 19:29:06.674000 : Epoch  6, Batch   3661, Loss  0.873269, Average Loss  0.869063, Time  0.172094
2021-09-11 19:29:08.258007 : Epoch  6, Batch   3662, Loss  0.860064, Average Loss  0.868959, Time  0.170218
2021-09-11 19:29:09.858033 : Epoch  6, Batch   3663, Loss  0.897565, Average Loss  0.869226, Time  0.169892
2021-09-11 19:29:11.475034 : Epoch  6, Batch   3664, Loss  0.909648, Average Loss  0.869644, Time  0.170062
2021-09-11 19:29:13.086029 : Epoch  6, Batch   3665, Loss  0.885358, Average Loss  0.869695, Time  0.170637
2021-09-11 19:29:14.684998 : Epoch  6, Batch   3666, Loss  0.846235, Average Loss  0.869540, Time  0.169761
2021-09-11 19:29:16.300907 : Epoch  6, Batch   3667, Loss  0.844043, Average Loss  0.869444, Time  0.170321
2021-09-11 19:29:17.911817 : Epoch  6, Batch   3668, Loss  0.850569, Average Loss  0.869231, Time  0.169900
2021-09-11 19:29:19.506315 : Epoch  6, Batch   3669, Loss  0.828817, Average Loss  0.868999, Time  0.171440
2021-09-11 19:29:21.121925 : Epoch  6, Batch   3670, Loss  0.862999, Average Loss  0.869046, Time  0.169872
2021-09-11 19:29:22.733001 : Epoch  6, Batch   3671, Loss  0.869052, Average Loss  0.869275, Time  0.169974
2021-09-11 19:29:24.340781 : Epoch  6, Batch   3672, Loss  0.873515, Average Loss  0.869402, Time  0.169683
2021-09-11 19:29:25.948998 : Epoch  6, Batch   3673, Loss  0.869949, Average Loss  0.869496, Time  0.169850
2021-09-11 19:29:27.559745 : Epoch  6, Batch   3674, Loss  0.886845, Average Loss  0.869589, Time  0.169906
2021-09-11 19:29:29.172795 : Epoch  6, Batch   3675, Loss  0.855829, Average Loss  0.869427, Time  0.172050
2021-09-11 19:29:30.781800 : Epoch  6, Batch   3676, Loss  0.882417, Average Loss  0.869393, Time  0.169754
2021-09-11 19:29:32.409762 : Epoch  6, Batch   3677, Loss  0.890670, Average Loss  0.869502, Time  0.169714
2021-09-11 19:29:34.006763 : Epoch  6, Batch   3678, Loss  0.878007, Average Loss  0.869389, Time  0.171873
2021-09-11 19:29:34.502224 : Epoch  6, Batch   1621, Loss  0.864655, Average Loss  0.869607, Time  0.238733
2021-09-11 19:29:35.603982 : Epoch  6, Batch   3679, Loss  0.885852, Average Loss  0.869586, Time  0.170133
2021-09-11 19:29:37.237741 : Epoch  6, Batch   3680, Loss  0.875747, Average Loss  0.869535, Time  0.172216
2021-09-11 19:29:37.253716 : Epoch  6, Batch   1622, Loss  0.879154, Average Loss  0.869700, Time  0.267507
2021-09-11 19:29:38.850753 : Epoch  6, Batch   3681, Loss  0.849459, Average Loss  0.869447, Time  0.169677
2021-09-11 19:29:40.012885 : Epoch  6, Batch   1623, Loss  0.874487, Average Loss  0.869764, Time  0.266340
2021-09-11 19:29:40.483275 : Epoch  6, Batch   3682, Loss  0.862805, Average Loss  0.869475, Time  0.170293
2021-09-11 19:29:42.096780 : Epoch  6, Batch   3683, Loss  0.888460, Average Loss  0.869432, Time  0.169862
2021-09-11 19:29:43.718987 : Epoch  6, Batch   3684, Loss  0.885933, Average Loss  0.869533, Time  0.169530
2021-09-11 19:29:44.868225 : Epoch  6, Batch   1624, Loss  0.875180, Average Loss  0.869755, Time  0.280056
2021-09-11 19:29:45.326815 : Epoch  6, Batch   3685, Loss  0.846183, Average Loss  0.869358, Time  0.171105
2021-09-11 19:29:46.919866 : Epoch  6, Batch   3686, Loss  0.861604, Average Loss  0.869362, Time  0.170857
2021-09-11 19:29:47.926792 : Epoch  6, Batch   1625, Loss  0.905659, Average Loss  0.869830, Time  0.285209
2021-09-11 19:29:48.541017 : Epoch  6, Batch   3687, Loss  0.866144, Average Loss  0.869268, Time  0.169582
2021-09-11 19:29:50.149788 : Epoch  6, Batch   3688, Loss  0.868948, Average Loss  0.869399, Time  0.170075
2021-09-11 19:29:51.749994 : Epoch  6, Batch   3689, Loss  0.878026, Average Loss  0.869430, Time  0.169416
2021-09-11 19:29:51.908755 : Epoch  6, Batch   1626, Loss  0.861958, Average Loss  0.869806, Time  0.258599
2021-09-11 19:29:53.356764 : Epoch  6, Batch   3690, Loss  0.859861, Average Loss  0.869456, Time  0.172408
2021-09-11 19:29:54.968000 : Epoch  6, Batch   3691, Loss  0.862706, Average Loss  0.869297, Time  0.170063
2021-09-11 19:29:56.577798 : Epoch  6, Batch   3692, Loss  0.865984, Average Loss  0.869242, Time  0.169584
2021-09-11 19:29:56.976784 : Epoch  6, Batch   1627, Loss  0.898695, Average Loss  0.869934, Time  0.392362
2021-09-11 19:29:58.192004 : Epoch  6, Batch   3693, Loss  0.855287, Average Loss  0.869122, Time  0.169727
2021-09-11 19:29:59.812750 : Epoch  6, Batch   3694, Loss  0.867445, Average Loss  0.869173, Time  0.169828
2021-09-11 19:30:01.423783 : Epoch  6, Batch   3695, Loss  0.872323, Average Loss  0.869084, Time  0.169566
2021-09-11 19:30:03.033759 : Epoch  6, Batch   3696, Loss  0.871660, Average Loss  0.869143, Time  0.169755
2021-09-11 19:30:03.452947 : Epoch  6, Batch   1628, Loss  0.869476, Average Loss  0.869930, Time  0.307883
2021-09-11 19:30:04.635737 : Epoch  6, Batch   3697, Loss  0.866384, Average Loss  0.869081, Time  0.169783
2021-09-11 19:30:06.240006 : Epoch  6, Batch   3698, Loss  0.863908, Average Loss  0.869085, Time  0.169656
2021-09-11 19:30:07.289347 : Epoch  6, Batch   1629, Loss  0.841651, Average Loss  0.869652, Time  0.345380
2021-09-11 19:30:07.849026 : Epoch  6, Batch   3699, Loss  0.875275, Average Loss  0.869236, Time  0.169865
2021-09-11 19:30:09.449006 : Epoch  6, Batch   3700, Loss  0.866034, Average Loss  0.869044, Time  0.169811
2021-09-11 19:30:11.048837 : Epoch  6, Batch   3701, Loss  0.851080, Average Loss  0.868810, Time  0.169645
2021-09-11 19:30:12.662984 : Epoch  6, Batch   3702, Loss  0.898260, Average Loss  0.868970, Time  0.169772
2021-09-11 19:30:12.673701 : Epoch  6, Batch   1630, Loss  0.863550, Average Loss  0.869534, Time  0.238889
2021-09-11 19:30:14.267002 : Epoch  6, Batch   3703, Loss  0.855729, Average Loss  0.869019, Time  0.170062
2021-09-11 19:30:15.880017 : Epoch  6, Batch   3704, Loss  0.865956, Average Loss  0.868887, Time  0.169402
2021-09-11 19:30:16.406898 : Epoch  6, Batch   1631, Loss  0.872567, Average Loss  0.869473, Time  0.275871
2021-09-11 19:30:17.485001 : Epoch  6, Batch   3705, Loss  0.854932, Average Loss  0.868821, Time  0.170183
2021-09-11 19:30:19.088826 : Epoch  6, Batch   3706, Loss  0.851520, Average Loss  0.868710, Time  0.170088
2021-09-11 19:30:20.700015 : Epoch  6, Batch   3707, Loss  0.884256, Average Loss  0.868847, Time  0.170066
2021-09-11 19:30:22.008374 : Epoch  6, Batch   1632, Loss  0.858597, Average Loss  0.869319, Time  0.305889
2021-09-11 19:30:22.317809 : Epoch  6, Batch   3708, Loss  0.888490, Average Loss  0.869074, Time  0.173779
2021-09-11 19:30:23.923019 : Epoch  6, Batch   3709, Loss  0.871029, Average Loss  0.869127, Time  0.180449
2021-09-11 19:30:25.525756 : Epoch  6, Batch   3710, Loss  0.863365, Average Loss  0.869029, Time  0.174765
2021-09-11 19:30:27.135037 : Epoch  6, Batch   3711, Loss  0.856107, Average Loss  0.869086, Time  0.176744
2021-09-11 19:30:27.205884 : Saving Model after 6-th Epoch.
2021-09-11 19:30:28.189664 : Epoch Finished.
2021-09-11 19:30:29.183951 : Epoch  6, Batch   1633, Loss  0.859776, Average Loss  0.869256, Time  0.289562
2021-09-11 19:30:33.464852 : Epoch  6, Batch   1634, Loss  0.874115, Average Loss  0.869203, Time  0.295672
2021-09-11 19:30:33.760663 : Batch Shuffled
2021-09-11 19:30:35.372983 : Epoch  7, Batch      1, Loss  0.883879, Average Loss  0.869151, Time  0.177444
2021-09-11 19:30:37.003769 : Epoch  7, Batch      2, Loss  0.887830, Average Loss  0.869328, Time  0.170321
2021-09-11 19:30:37.524723 : Epoch  6, Batch   1635, Loss  0.860460, Average Loss  0.869154, Time  0.301454
2021-09-11 19:30:38.616996 : Epoch  7, Batch      3, Loss  0.852486, Average Loss  0.869231, Time  0.172206
2021-09-11 19:30:40.251977 : Epoch  7, Batch      4, Loss  0.854189, Average Loss  0.869272, Time  0.171709
2021-09-11 19:30:41.894022 : Epoch  7, Batch      5, Loss  0.834736, Average Loss  0.869035, Time  0.169548
2021-09-11 19:30:42.244075 : Epoch  6, Batch   1636, Loss  0.880483, Average Loss  0.869233, Time  0.239654
2021-09-11 19:30:43.509985 : Epoch  7, Batch      6, Loss  0.906687, Average Loss  0.869217, Time  0.169768
2021-09-11 19:30:45.127993 : Epoch  7, Batch      7, Loss  0.871423, Average Loss  0.869225, Time  0.169951
2021-09-11 19:30:46.723832 : Epoch  7, Batch      8, Loss  0.855986, Average Loss  0.869033, Time  0.169790
2021-09-11 19:30:48.324996 : Epoch  7, Batch      9, Loss  0.856518, Average Loss  0.868912, Time  0.171618
2021-09-11 19:30:49.423847 : Epoch  6, Batch   1637, Loss  0.868190, Average Loss  0.869194, Time  0.369874
2021-09-11 19:30:49.934791 : Epoch  7, Batch     10, Loss  0.862262, Average Loss  0.868985, Time  0.172496
2021-09-11 19:30:51.536905 : Epoch  7, Batch     11, Loss  0.891407, Average Loss  0.868963, Time  0.169804
2021-09-11 19:30:53.135744 : Epoch  7, Batch     12, Loss  0.841364, Average Loss  0.868944, Time  0.176089
2021-09-11 19:30:54.727871 : Epoch  7, Batch     13, Loss  0.842295, Average Loss  0.868932, Time  0.170145
2021-09-11 19:30:54.983552 : Epoch  6, Batch   1638, Loss  0.889364, Average Loss  0.869328, Time  0.398488
2021-09-11 19:30:56.338035 : Epoch  7, Batch     14, Loss  0.852100, Average Loss  0.868782, Time  0.176999
2021-09-11 19:30:57.954024 : Epoch  7, Batch     15, Loss  0.861467, Average Loss  0.868643, Time  0.171073
2021-09-11 19:30:59.270251 : Epoch  6, Batch   1639, Loss  0.860805, Average Loss  0.869242, Time  0.253093
2021-09-11 19:30:59.541867 : Epoch  7, Batch     16, Loss  0.851820, Average Loss  0.868647, Time  0.173969
2021-09-11 19:31:01.110021 : Epoch  7, Batch     17, Loss  0.871517, Average Loss  0.868687, Time  0.171455
2021-09-11 19:31:02.723041 : Epoch  7, Batch     18, Loss  0.875114, Average Loss  0.868645, Time  0.172456
2021-09-11 19:31:04.313758 : Epoch  7, Batch     19, Loss  0.856365, Average Loss  0.868541, Time  0.169892
2021-09-11 19:31:04.830044 : Epoch  6, Batch   1640, Loss  0.846447, Average Loss  0.869032, Time  0.270515
2021-09-11 19:31:05.913027 : Epoch  7, Batch     20, Loss  0.886005, Average Loss  0.868672, Time  0.172148
2021-09-11 19:31:07.514856 : Epoch  7, Batch     21, Loss  0.895592, Average Loss  0.868850, Time  0.169981
2021-09-11 19:31:09.123764 : Epoch  7, Batch     22, Loss  0.887505, Average Loss  0.868884, Time  0.176469
2021-09-11 19:31:10.744738 : Epoch  7, Batch     23, Loss  0.883832, Average Loss  0.868962, Time  0.173580
2021-09-11 19:31:11.039335 : Epoch  6, Batch   1641, Loss  0.868796, Average Loss  0.869085, Time  0.255167
2021-09-11 19:31:12.327795 : Epoch  7, Batch     24, Loss  0.853794, Average Loss  0.868874, Time  0.170209
2021-09-11 19:31:13.913772 : Epoch  7, Batch     25, Loss  0.850234, Average Loss  0.868827, Time  0.178128
2021-09-11 19:31:15.532035 : Epoch  7, Batch     26, Loss  0.851188, Average Loss  0.868628, Time  0.173414
2021-09-11 19:31:16.395135 : Epoch  6, Batch   1642, Loss  0.891422, Average Loss  0.869294, Time  0.307013
2021-09-11 19:31:17.136771 : Epoch  7, Batch     27, Loss  0.858706, Average Loss  0.868571, Time  0.169547
2021-09-11 19:31:18.745036 : Epoch  7, Batch     28, Loss  0.872011, Average Loss  0.868539, Time  0.170952
2021-09-11 19:31:20.365884 : Epoch  7, Batch     29, Loss  0.875835, Average Loss  0.868528, Time  0.171461
2021-09-11 19:31:21.974800 : Epoch  7, Batch     30, Loss  0.847928, Average Loss  0.868411, Time  0.173616
2021-09-11 19:31:23.279074 : Epoch  6, Batch   1643, Loss  0.854347, Average Loss  0.869183, Time  0.420677
2021-09-11 19:31:23.583065 : Epoch  7, Batch     31, Loss  0.867949, Average Loss  0.868406, Time  0.172319
2021-09-11 19:31:25.181048 : Epoch  7, Batch     32, Loss  0.890957, Average Loss  0.868517, Time  0.169927
2021-09-11 19:31:26.785828 : Epoch  7, Batch     33, Loss  0.865961, Average Loss  0.868419, Time  0.170082
2021-09-11 19:31:27.564814 : Epoch  6, Batch   1644, Loss  0.881788, Average Loss  0.869226, Time  0.279094
2021-09-11 19:31:28.396031 : Epoch  7, Batch     34, Loss  0.873912, Average Loss  0.868420, Time  0.170166
2021-09-11 19:31:32.616078 : Epoch  6, Batch   1645, Loss  0.864381, Average Loss  0.869121, Time  0.305489
2021-09-11 19:31:37.197073 : Epoch  6, Batch   1646, Loss  0.882051, Average Loss  0.869193, Time  0.297976
2021-09-11 19:31:43.869383 : Epoch  6, Batch   1647, Loss  0.856488, Average Loss  0.869196, Time  0.243315
2021-09-11 19:31:50.051749 : Epoch  6, Batch   1648, Loss  0.867822, Average Loss  0.869120, Time  0.383627
2021-09-11 19:31:56.682412 : Epoch  6, Batch   1649, Loss  0.868039, Average Loss  0.869120, Time  0.423252
2021-09-11 19:32:01.935382 : Epoch  6, Batch   1650, Loss  0.888360, Average Loss  0.869199, Time  0.293854
2021-09-11 19:32:06.634816 : Epoch  6, Batch   1651, Loss  0.886560, Average Loss  0.869234, Time  0.323170
2021-09-11 19:32:12.206335 : Epoch  6, Batch   1652, Loss  0.888634, Average Loss  0.869363, Time  0.371888
2021-09-11 19:32:17.719139 : Epoch  6, Batch   1653, Loss  0.854417, Average Loss  0.869268, Time  0.275051
2021-09-11 19:32:23.205185 : Epoch  6, Batch   1654, Loss  0.860515, Average Loss  0.869272, Time  0.239835
2021-09-11 19:32:28.840008 : Epoch  6, Batch   1655, Loss  0.865479, Average Loss  0.869203, Time  0.289273
2021-09-11 19:32:31.628122 : Epoch  6, Batch   1656, Loss  0.877556, Average Loss  0.869278, Time  0.328724
2021-09-11 19:32:37.389517 : Epoch  6, Batch   1657, Loss  0.840848, Average Loss  0.869177, Time  0.460561
2021-09-11 19:32:42.163186 : Epoch  6, Batch   1658, Loss  0.857235, Average Loss  0.869120, Time  0.274992
2021-09-11 19:32:47.618887 : Epoch  6, Batch   1659, Loss  0.879247, Average Loss  0.869145, Time  0.276136
2021-09-11 19:32:53.042813 : Epoch  6, Batch   1660, Loss  0.871328, Average Loss  0.869139, Time  0.323888
2021-09-11 19:32:58.194163 : Epoch  6, Batch   1661, Loss  0.851769, Average Loss  0.869095, Time  0.283631
2021-09-11 19:33:03.571517 : Epoch  6, Batch   1662, Loss  0.867268, Average Loss  0.869023, Time  0.307468
2021-09-11 19:33:09.020200 : Epoch  6, Batch   1663, Loss  0.860070, Average Loss  0.868980, Time  0.254677
2021-09-11 19:33:14.575336 : Epoch  6, Batch   1664, Loss  0.866231, Average Loss  0.868948, Time  0.254879
2021-09-11 19:33:18.632995 : Epoch  6, Batch   1665, Loss  0.874403, Average Loss  0.868962, Time  0.248771
2021-09-11 19:33:22.876758 : Epoch  6, Batch   1666, Loss  0.857149, Average Loss  0.868945, Time  0.282857
2021-09-11 19:33:28.669944 : Epoch  6, Batch   1667, Loss  0.862108, Average Loss  0.868857, Time  0.237367
2021-09-11 19:33:33.372753 : Epoch  6, Batch   1668, Loss  0.869306, Average Loss  0.868919, Time  0.356134
2021-09-11 19:33:37.691235 : Epoch  6, Batch   1669, Loss  0.859756, Average Loss  0.868891, Time  0.277452
2021-09-11 19:33:42.803767 : Epoch  6, Batch   1670, Loss  0.876703, Average Loss  0.868914, Time  0.320617
2021-09-11 19:33:47.111225 : Epoch  6, Batch   1671, Loss  0.869609, Average Loss  0.868951, Time  0.245895
2021-09-11 19:33:50.020818 : Epoch  6, Batch   1672, Loss  0.867925, Average Loss  0.868934, Time  0.260053
2021-09-11 19:33:56.117758 : Epoch  6, Batch   1673, Loss  0.876266, Average Loss  0.869001, Time  0.408614
2021-09-11 19:34:00.711889 : Epoch  6, Batch   1674, Loss  0.821611, Average Loss  0.868848, Time  0.303394
2021-09-11 19:34:09.622131 : Epoch  6, Batch   1675, Loss  0.871199, Average Loss  0.868803, Time  0.240350
2021-09-11 19:34:15.877094 : Epoch  6, Batch   1676, Loss  0.874306, Average Loss  0.868922, Time  0.242947
2021-09-11 19:34:21.679441 : Epoch  6, Batch   1677, Loss  0.894680, Average Loss  0.869036, Time  0.313263
2021-09-11 19:34:25.849642 : Epoch  6, Batch   1678, Loss  0.858457, Average Loss  0.868937, Time  0.243266
2021-09-11 19:34:30.259238 : Epoch  6, Batch   1679, Loss  0.870188, Average Loss  0.868966, Time  0.259890
2021-09-11 19:34:35.569074 : Epoch  6, Batch   1680, Loss  0.889122, Average Loss  0.869101, Time  0.267126
2021-09-11 19:34:41.992105 : Epoch  6, Batch   1681, Loss  0.873606, Average Loss  0.869172, Time  0.324275
2021-09-11 19:34:48.924179 : Epoch  6, Batch   1682, Loss  0.849544, Average Loss  0.869124, Time  0.238233
2021-09-11 19:34:53.499175 : Epoch  6, Batch   1683, Loss  0.886416, Average Loss  0.869225, Time  0.240303
2021-09-11 19:34:57.100582 : Epoch  6, Batch   1684, Loss  0.867671, Average Loss  0.869166, Time  0.289888
2021-09-11 19:35:02.443736 : Epoch  6, Batch   1685, Loss  0.871757, Average Loss  0.869210, Time  0.372020
2021-09-11 19:35:07.964401 : Epoch  6, Batch   1686, Loss  0.858134, Average Loss  0.869154, Time  0.292684
2021-09-11 19:35:15.382800 : Epoch  6, Batch   1687, Loss  0.858574, Average Loss  0.869077, Time  0.365643
2021-09-11 19:35:21.047825 : Epoch  6, Batch   1688, Loss  0.855149, Average Loss  0.868947, Time  0.410398
2021-09-11 19:35:26.765024 : Epoch  6, Batch   1689, Loss  0.863970, Average Loss  0.868939, Time  0.237670
2021-09-11 19:35:33.205208 : Epoch  6, Batch   1690, Loss  0.860247, Average Loss  0.868969, Time  0.314929
2021-09-11 19:35:37.802749 : Epoch  6, Batch   1691, Loss  0.865415, Average Loss  0.868851, Time  0.279756
2021-09-11 19:35:43.953862 : Epoch  6, Batch   1692, Loss  0.863976, Average Loss  0.868841, Time  0.375309
2021-09-11 19:35:48.237726 : Epoch  6, Batch   1693, Loss  0.874905, Average Loss  0.868854, Time  0.254926
2021-09-11 19:35:56.072776 : Epoch  6, Batch   1694, Loss  0.857358, Average Loss  0.868827, Time  0.307674
2021-09-11 19:36:00.090832 : Epoch  6, Batch   1695, Loss  0.865673, Average Loss  0.868874, Time  0.289588
2021-09-11 19:36:07.593720 : Epoch  6, Batch   1696, Loss  0.854574, Average Loss  0.868714, Time  0.488650
2021-09-11 19:36:09.050713 : CheckPoint: Validation Loss  0.00060568, Best Loss  0.00057266
2021-09-11 19:36:10.699945 : Epoch  7, Batch     35, Loss  0.886838, Average Loss  0.868505, Time  0.185413
2021-09-11 19:36:12.313804 : Epoch  7, Batch     36, Loss  0.842631, Average Loss  0.868542, Time  0.171352
2021-09-11 19:36:13.583897 : Epoch  6, Batch   1697, Loss  0.827443, Average Loss  0.868508, Time  0.271788
2021-09-11 19:36:13.955018 : Epoch  7, Batch     37, Loss  0.869992, Average Loss  0.868444, Time  0.177660
2021-09-11 19:36:15.539009 : Epoch  7, Batch     38, Loss  0.873211, Average Loss  0.868431, Time  0.169967
2021-09-11 19:36:17.146817 : Epoch  7, Batch     39, Loss  0.863624, Average Loss  0.868306, Time  0.171007
2021-09-11 19:36:18.768336 : Epoch  7, Batch     40, Loss  0.841500, Average Loss  0.868144, Time  0.179373
2021-09-11 19:36:18.873311 : Epoch  6, Batch   1698, Loss  0.883028, Average Loss  0.868659, Time  0.252359
2021-09-11 19:36:20.352024 : Epoch  7, Batch     41, Loss  0.884787, Average Loss  0.868358, Time  0.170038
2021-09-11 19:36:21.974023 : Epoch  7, Batch     42, Loss  0.845184, Average Loss  0.868288, Time  0.171932
2021-09-11 19:36:23.596024 : Epoch  7, Batch     43, Loss  0.884331, Average Loss  0.868306, Time  0.170090
2021-09-11 19:36:25.011209 : Epoch  6, Batch   1699, Loss  0.873786, Average Loss  0.868680, Time  0.366121
2021-09-11 19:36:25.202744 : Epoch  7, Batch     44, Loss  0.845625, Average Loss  0.868199, Time  0.170350
2021-09-11 19:36:26.803028 : Epoch  7, Batch     45, Loss  0.857421, Average Loss  0.868126, Time  0.171545
2021-09-11 19:36:28.417749 : Epoch  7, Batch     46, Loss  0.874616, Average Loss  0.868003, Time  0.173160
2021-09-11 19:36:30.021025 : Epoch  7, Batch     47, Loss  0.874307, Average Loss  0.868076, Time  0.170406
2021-09-11 19:36:30.395584 : Epoch  6, Batch   1700, Loss  0.878901, Average Loss  0.868710, Time  0.328600
2021-09-11 19:36:31.642040 : Epoch  7, Batch     48, Loss  0.879957, Average Loss  0.868061, Time  0.176156
2021-09-11 19:36:33.237034 : Epoch  7, Batch     49, Loss  0.865721, Average Loss  0.867996, Time  0.171129
2021-09-11 19:36:34.175793 : Epoch  6, Batch   1701, Loss  0.856713, Average Loss  0.868582, Time  0.247718
2021-09-11 19:36:34.833763 : Epoch  7, Batch     50, Loss  0.846232, Average Loss  0.867868, Time  0.171299
2021-09-11 19:36:36.438035 : Epoch  7, Batch     51, Loss  0.894408, Average Loss  0.867934, Time  0.172753
2021-09-11 19:36:38.049029 : Epoch  7, Batch     52, Loss  0.891097, Average Loss  0.868234, Time  0.175448
2021-09-11 19:36:38.529747 : Epoch  6, Batch   1702, Loss  0.874908, Average Loss  0.868639, Time  0.359038
2021-09-11 19:36:39.660037 : Epoch  7, Batch     53, Loss  0.886092, Average Loss  0.868313, Time  0.169743
2021-09-11 19:36:41.277031 : Epoch  7, Batch     54, Loss  0.852222, Average Loss  0.868086, Time  0.173711
2021-09-11 19:36:42.885033 : Epoch  7, Batch     55, Loss  0.878047, Average Loss  0.868113, Time  0.172091
2021-09-11 19:36:43.407702 : Epoch  6, Batch   1703, Loss  0.862864, Average Loss  0.868545, Time  0.320360
2021-09-11 19:36:44.519043 : Epoch  7, Batch     56, Loss  0.863635, Average Loss  0.868159, Time  0.181159
2021-09-11 19:36:46.139807 : Epoch  7, Batch     57, Loss  0.873196, Average Loss  0.868026, Time  0.173757
2021-09-11 19:36:47.741754 : Epoch  7, Batch     58, Loss  0.883279, Average Loss  0.868049, Time  0.172339
2021-09-11 19:36:49.126050 : Epoch  6, Batch   1704, Loss  0.890424, Average Loss  0.868581, Time  0.375805
2021-09-11 19:36:49.363039 : Epoch  7, Batch     59, Loss  0.851434, Average Loss  0.867994, Time  0.175269
2021-09-11 19:36:50.955838 : Epoch  7, Batch     60, Loss  0.873139, Average Loss  0.867949, Time  0.180458
2021-09-11 19:36:52.542748 : Epoch  7, Batch     61, Loss  0.857944, Average Loss  0.867927, Time  0.169702
2021-09-11 19:36:54.169832 : Epoch  7, Batch     62, Loss  0.850281, Average Loss  0.867736, Time  0.175068
2021-09-11 19:36:55.798811 : Epoch  7, Batch     63, Loss  0.872316, Average Loss  0.867695, Time  0.173777
2021-09-11 19:36:57.409033 : Epoch  7, Batch     64, Loss  0.889376, Average Loss  0.867891, Time  0.170197
2021-09-11 19:36:57.462718 : Epoch  6, Batch   1705, Loss  0.881490, Average Loss  0.868682, Time  0.352481
2021-09-11 19:36:59.020771 : Epoch  7, Batch     65, Loss  0.861703, Average Loss  0.867833, Time  0.170087
2021-09-11 19:37:00.622848 : Epoch  7, Batch     66, Loss  0.865541, Average Loss  0.867853, Time  0.171191
2021-09-11 19:37:02.209029 : Epoch  7, Batch     67, Loss  0.883940, Average Loss  0.867976, Time  0.173838
2021-09-11 19:37:02.861649 : Epoch  6, Batch   1706, Loss  0.886998, Average Loss  0.868781, Time  0.273149
2021-09-11 19:37:03.822031 : Epoch  7, Batch     68, Loss  0.846021, Average Loss  0.867691, Time  0.171760
2021-09-11 19:37:05.408890 : Epoch  7, Batch     69, Loss  0.888340, Average Loss  0.867888, Time  0.171600
2021-09-11 19:37:07.003052 : Epoch  7, Batch     70, Loss  0.881451, Average Loss  0.867918, Time  0.170007
2021-09-11 19:37:08.571846 : Epoch  6, Batch   1707, Loss  0.865583, Average Loss  0.868740, Time  0.278696
2021-09-11 19:37:08.619902 : Epoch  7, Batch     71, Loss  0.857301, Average Loss  0.867949, Time  0.170794
2021-09-11 19:37:10.247298 : Epoch  7, Batch     72, Loss  0.854150, Average Loss  0.867862, Time  0.170729
2021-09-11 19:37:11.851757 : Epoch  7, Batch     73, Loss  0.881666, Average Loss  0.868011, Time  0.172551
2021-09-11 19:37:13.452795 : Epoch  7, Batch     74, Loss  0.887704, Average Loss  0.868036, Time  0.170340
2021-09-11 19:37:14.797165 : Epoch  6, Batch   1708, Loss  0.869217, Average Loss  0.868716, Time  0.288699
2021-09-11 19:37:15.066836 : Epoch  7, Batch     75, Loss  0.862608, Average Loss  0.867997, Time  0.171510
2021-09-11 19:37:16.647814 : Epoch  7, Batch     76, Loss  0.898213, Average Loss  0.868159, Time  0.170078
2021-09-11 19:37:18.270021 : Epoch  7, Batch     77, Loss  0.881188, Average Loss  0.868203, Time  0.169975
2021-09-11 19:37:19.867769 : Epoch  7, Batch     78, Loss  0.869270, Average Loss  0.868309, Time  0.170256
2021-09-11 19:37:20.854133 : Epoch  6, Batch   1709, Loss  0.865903, Average Loss  0.868846, Time  0.386132
2021-09-11 19:37:21.451759 : Epoch  7, Batch     79, Loss  0.865178, Average Loss  0.868291, Time  0.174709
2021-09-11 19:37:23.047080 : Epoch  7, Batch     80, Loss  0.874338, Average Loss  0.868382, Time  0.170148
2021-09-11 19:37:24.275032 : Epoch  6, Batch   1710, Loss  0.871461, Average Loss  0.868893, Time  0.327710
2021-09-11 19:37:24.631938 : Epoch  7, Batch     81, Loss  0.863146, Average Loss  0.868452, Time  0.178167
2021-09-11 19:37:26.197382 : Epoch  7, Batch     82, Loss  0.858031, Average Loss  0.868341, Time  0.172937
2021-09-11 19:37:27.792834 : Epoch  7, Batch     83, Loss  0.879324, Average Loss  0.868378, Time  0.173337
2021-09-11 19:37:29.375732 : Epoch  7, Batch     84, Loss  0.908772, Average Loss  0.868622, Time  0.179225
2021-09-11 19:37:30.350126 : Epoch  6, Batch   1711, Loss  0.883003, Average Loss  0.868951, Time  0.307715
2021-09-11 19:37:30.946944 : Epoch  7, Batch     85, Loss  0.854886, Average Loss  0.868624, Time  0.175014
2021-09-11 19:37:32.559789 : Epoch  7, Batch     86, Loss  0.898077, Average Loss  0.868748, Time  0.172345
2021-09-11 19:37:34.196832 : Epoch  7, Batch     87, Loss  0.880276, Average Loss  0.868816, Time  0.172556
2021-09-11 19:37:35.782864 : Epoch  7, Batch     88, Loss  0.854133, Average Loss  0.868759, Time  0.175967
2021-09-11 19:37:36.313887 : Epoch  6, Batch   1712, Loss  0.871868, Average Loss  0.868887, Time  0.295048
2021-09-11 19:37:37.370764 : Epoch  7, Batch     89, Loss  0.880760, Average Loss  0.868782, Time  0.170989
2021-09-11 19:37:38.979732 : Epoch  7, Batch     90, Loss  0.874237, Average Loss  0.868698, Time  0.169999
2021-09-11 19:37:40.596760 : Epoch  7, Batch     91, Loss  0.879892, Average Loss  0.868929, Time  0.173973
2021-09-11 19:37:42.205862 : Epoch  7, Batch     92, Loss  0.874181, Average Loss  0.868795, Time  0.170492
2021-09-11 19:37:42.272052 : Epoch  6, Batch   1713, Loss  0.852057, Average Loss  0.868810, Time  0.246715
2021-09-11 19:37:43.824033 : Epoch  7, Batch     93, Loss  0.897210, Average Loss  0.868753, Time  0.171100
2021-09-11 19:37:45.452811 : Epoch  7, Batch     94, Loss  0.828939, Average Loss  0.868676, Time  0.172461
2021-09-11 19:37:47.065042 : Epoch  7, Batch     95, Loss  0.864093, Average Loss  0.868525, Time  0.174483
2021-09-11 19:37:47.176329 : Epoch  6, Batch   1714, Loss  0.879748, Average Loss  0.868898, Time  0.292416
2021-09-11 19:37:48.681759 : Epoch  7, Batch     96, Loss  0.870077, Average Loss  0.868481, Time  0.187098
2021-09-11 19:37:50.293768 : Epoch  7, Batch     97, Loss  0.893645, Average Loss  0.868696, Time  0.174508
2021-09-11 19:37:51.902836 : Epoch  7, Batch     98, Loss  0.870658, Average Loss  0.868760, Time  0.171019
2021-09-11 19:37:53.525785 : Epoch  7, Batch     99, Loss  0.879397, Average Loss  0.868871, Time  0.170261
2021-09-11 19:37:54.063226 : Epoch  6, Batch   1715, Loss  0.833525, Average Loss  0.868669, Time  0.324808
2021-09-11 19:37:55.179079 : Epoch  7, Batch    100, Loss  0.837388, Average Loss  0.868770, Time  0.181207
2021-09-11 19:37:56.790768 : Epoch  7, Batch    101, Loss  0.850145, Average Loss  0.868649, Time  0.171202
2021-09-11 19:37:58.383898 : Epoch  7, Batch    102, Loss  0.877982, Average Loss  0.868495, Time  0.170466
2021-09-11 19:37:58.864903 : Epoch  6, Batch   1716, Loss  0.881218, Average Loss  0.868757, Time  0.308856
2021-09-11 19:37:59.963059 : Epoch  7, Batch    103, Loss  0.900408, Average Loss  0.868727, Time  0.171942
2021-09-11 19:38:01.570769 : Epoch  7, Batch    104, Loss  0.886604, Average Loss  0.868855, Time  0.171934
2021-09-11 19:38:03.168887 : Epoch  7, Batch    105, Loss  0.884078, Average Loss  0.868863, Time  0.181724
2021-09-11 19:38:04.765078 : Epoch  7, Batch    106, Loss  0.861310, Average Loss  0.869007, Time  0.169915
2021-09-11 19:38:04.960459 : Epoch  6, Batch   1717, Loss  0.858202, Average Loss  0.868664, Time  0.415192
2021-09-11 19:38:06.366052 : Epoch  7, Batch    107, Loss  0.872998, Average Loss  0.868952, Time  0.170144
2021-09-11 19:38:07.983884 : Epoch  7, Batch    108, Loss  0.860754, Average Loss  0.868901, Time  0.174150
2021-09-11 19:38:09.582097 : Epoch  7, Batch    109, Loss  0.853767, Average Loss  0.868867, Time  0.171206
2021-09-11 19:38:11.207049 : Epoch  7, Batch    110, Loss  0.868645, Average Loss  0.868797, Time  0.173223
2021-09-11 19:38:11.419087 : Epoch  6, Batch   1718, Loss  0.852399, Average Loss  0.868685, Time  0.279039
2021-09-11 19:38:12.815043 : Epoch  7, Batch    111, Loss  0.879333, Average Loss  0.868792, Time  0.170274
2021-09-11 19:38:14.407779 : Epoch  7, Batch    112, Loss  0.874002, Average Loss  0.868819, Time  0.170295
2021-09-11 19:38:15.995047 : Epoch  7, Batch    113, Loss  0.871589, Average Loss  0.868891, Time  0.173773
2021-09-11 19:38:17.601034 : Epoch  7, Batch    114, Loss  0.879780, Average Loss  0.868933, Time  0.173587
2021-09-11 19:38:19.204083 : Epoch  7, Batch    115, Loss  0.849643, Average Loss  0.868839, Time  0.170205
2021-09-11 19:38:19.440421 : Epoch  6, Batch   1719, Loss  0.868523, Average Loss  0.868620, Time  0.335648
2021-09-11 19:38:20.825746 : Epoch  7, Batch    116, Loss  0.899179, Average Loss  0.869000, Time  0.170143
2021-09-11 19:38:22.414839 : Epoch  7, Batch    117, Loss  0.880894, Average Loss  0.868979, Time  0.171338
2021-09-11 19:38:24.027078 : Epoch  7, Batch    118, Loss  0.870786, Average Loss  0.869041, Time  0.174624
2021-09-11 19:38:25.627059 : Epoch  7, Batch    119, Loss  0.830883, Average Loss  0.868811, Time  0.176398
2021-09-11 19:38:27.216192 : Epoch  7, Batch    120, Loss  0.872514, Average Loss  0.868801, Time  0.170511
2021-09-11 19:38:28.859775 : Epoch  7, Batch    121, Loss  0.876803, Average Loss  0.868900, Time  0.169925
2021-09-11 19:38:30.462873 : Epoch  7, Batch    122, Loss  0.867320, Average Loss  0.868904, Time  0.173473
2021-09-11 19:38:32.070038 : Epoch  7, Batch    123, Loss  0.876292, Average Loss  0.868916, Time  0.170076
2021-09-11 19:38:33.674876 : Epoch  7, Batch    124, Loss  0.860259, Average Loss  0.868832, Time  0.171287
2021-09-11 19:38:35.289823 : Epoch  7, Batch    125, Loss  0.878369, Average Loss  0.868922, Time  0.171383
2021-09-11 19:38:36.893766 : Epoch  7, Batch    126, Loss  0.878995, Average Loss  0.868956, Time  0.169963
2021-09-11 19:38:38.492848 : Epoch  7, Batch    127, Loss  0.866577, Average Loss  0.868853, Time  0.169841
2021-09-11 19:38:40.117040 : Epoch  7, Batch    128, Loss  0.855729, Average Loss  0.868717, Time  0.174004
2021-09-11 19:38:41.717840 : Epoch  7, Batch    129, Loss  0.859228, Average Loss  0.868680, Time  0.169921
2021-09-11 19:38:43.327795 : Epoch  7, Batch    130, Loss  0.847513, Average Loss  0.868643, Time  0.169865
2021-09-11 19:38:44.925909 : Epoch  7, Batch    131, Loss  0.868957, Average Loss  0.868861, Time  0.170678
2021-09-11 19:38:46.534940 : Epoch  7, Batch    132, Loss  0.867040, Average Loss  0.868933, Time  0.177012
2021-09-11 19:38:48.113791 : Epoch  7, Batch    133, Loss  0.878801, Average Loss  0.868910, Time  0.171367
2021-09-11 19:38:49.037724 : Epoch  6, Batch   1720, Loss  0.876376, Average Loss  0.868743, Time  0.301822
2021-09-11 19:38:49.727042 : Epoch  7, Batch    134, Loss  0.876671, Average Loss  0.868895, Time  0.170157
2021-09-11 19:43:30.106049 : CheckPoint: Validation Loss  0.00062229, Best Loss  0.00057266
2021-09-11 19:43:31.706954 : Epoch  7, Batch    135, Loss  0.877173, Average Loss  0.868991, Time  0.178066
2021-09-11 19:43:33.312733 : Epoch  7, Batch    136, Loss  0.879944, Average Loss  0.869040, Time  0.171038
2021-09-11 19:43:34.947010 : Epoch  7, Batch    137, Loss  0.879348, Average Loss  0.869155, Time  0.169808
2021-09-11 19:43:36.528013 : Epoch  7, Batch    138, Loss  0.875618, Average Loss  0.869085, Time  0.170399
2021-09-11 19:43:38.126764 : Epoch  7, Batch    139, Loss  0.869199, Average Loss  0.869005, Time  0.172895
2021-09-11 19:43:39.755035 : Epoch  7, Batch    140, Loss  0.879639, Average Loss  0.869136, Time  0.172953
2021-09-11 19:43:41.374021 : Epoch  7, Batch    141, Loss  0.840138, Average Loss  0.869024, Time  0.176074
2021-09-11 19:43:43.001871 : Epoch  7, Batch    142, Loss  0.873853, Average Loss  0.869167, Time  0.179899
2021-09-11 19:43:44.647036 : Epoch  7, Batch    143, Loss  0.863758, Average Loss  0.869193, Time  0.170803
2021-09-11 19:43:46.242021 : Epoch  7, Batch    144, Loss  0.866952, Average Loss  0.869165, Time  0.171288
2021-09-11 19:43:47.839741 : Epoch  7, Batch    145, Loss  0.853105, Average Loss  0.869101, Time  0.171390
2021-09-11 19:43:49.442805 : Epoch  7, Batch    146, Loss  0.858467, Average Loss  0.868968, Time  0.178091
2021-09-11 19:43:51.046778 : Epoch  7, Batch    147, Loss  0.882110, Average Loss  0.869078, Time  0.170278
2021-09-11 19:43:52.642759 : Epoch  7, Batch    148, Loss  0.883005, Average Loss  0.869251, Time  0.173064
2021-09-11 19:43:54.246033 : Epoch  7, Batch    149, Loss  0.884765, Average Loss  0.869408, Time  0.169768
2021-09-11 19:43:55.843036 : Epoch  7, Batch    150, Loss  0.853142, Average Loss  0.869307, Time  0.176590
2021-09-11 19:43:57.454037 : Epoch  7, Batch    151, Loss  0.858117, Average Loss  0.869297, Time  0.169807
2021-09-11 19:43:59.066033 : Epoch  7, Batch    152, Loss  0.863799, Average Loss  0.869129, Time  0.173598
2021-09-11 19:44:00.721835 : Epoch  7, Batch    153, Loss  0.870481, Average Loss  0.868933, Time  0.185236
2021-09-11 19:44:02.338856 : Epoch  7, Batch    154, Loss  0.839602, Average Loss  0.868704, Time  0.170045
2021-09-11 19:44:03.950803 : Epoch  7, Batch    155, Loss  0.900073, Average Loss  0.868973, Time  0.169998
2021-09-11 19:44:05.555778 : Epoch  7, Batch    156, Loss  0.871299, Average Loss  0.869109, Time  0.169747
2021-09-11 19:44:07.167756 : Epoch  7, Batch    157, Loss  0.853483, Average Loss  0.869124, Time  0.178404
2021-09-11 19:44:08.789805 : Epoch  7, Batch    158, Loss  0.845981, Average Loss  0.869210, Time  0.173094
2021-09-11 19:44:10.407888 : Epoch  7, Batch    159, Loss  0.880074, Average Loss  0.869295, Time  0.175998
2021-09-11 19:44:12.013889 : Epoch  7, Batch    160, Loss  0.885955, Average Loss  0.869380, Time  0.173582
2021-09-11 19:44:13.590752 : Epoch  7, Batch    161, Loss  0.907209, Average Loss  0.869548, Time  0.169846
2021-09-11 19:44:15.218763 : Epoch  7, Batch    162, Loss  0.882557, Average Loss  0.869611, Time  0.178891
2021-09-11 19:44:16.809839 : Epoch  7, Batch    163, Loss  0.860844, Average Loss  0.869481, Time  0.170289
2021-09-11 19:44:18.420245 : Epoch  7, Batch    164, Loss  0.848918, Average Loss  0.869447, Time  0.170193
2021-09-11 19:44:20.013761 : Epoch  7, Batch    165, Loss  0.884328, Average Loss  0.869456, Time  0.173063
2021-09-11 19:44:21.616904 : Epoch  7, Batch    166, Loss  0.914810, Average Loss  0.869577, Time  0.170169
2021-09-11 19:44:23.230739 : Epoch  7, Batch    167, Loss  0.876809, Average Loss  0.869571, Time  0.181649
2021-09-11 19:44:24.811252 : Epoch  7, Batch    168, Loss  0.844222, Average Loss  0.869363, Time  0.169726
2021-09-11 19:44:26.402813 : Epoch  7, Batch    169, Loss  0.886918, Average Loss  0.869419, Time  0.170043
2021-09-11 19:44:28.005745 : Epoch  7, Batch    170, Loss  0.877658, Average Loss  0.869560, Time  0.169917
2021-09-11 19:44:29.617032 : Epoch  7, Batch    171, Loss  0.868059, Average Loss  0.869586, Time  0.173947
2021-09-11 19:44:31.261740 : Epoch  7, Batch    172, Loss  0.883130, Average Loss  0.869559, Time  0.180107
2021-09-11 19:44:32.857849 : Epoch  7, Batch    173, Loss  0.893947, Average Loss  0.869599, Time  0.171006
2021-09-11 19:44:34.474890 : Epoch  7, Batch    174, Loss  0.857319, Average Loss  0.869655, Time  0.172589
2021-09-11 19:44:36.069048 : Epoch  7, Batch    175, Loss  0.872252, Average Loss  0.869708, Time  0.169767
2021-09-11 19:44:37.672872 : Epoch  7, Batch    176, Loss  0.881957, Average Loss  0.869787, Time  0.173765
2021-09-11 19:44:39.261764 : Epoch  7, Batch    177, Loss  0.881703, Average Loss  0.869851, Time  0.174934
2021-09-11 19:44:40.873795 : Epoch  7, Batch    178, Loss  0.838057, Average Loss  0.869651, Time  0.169836
2021-09-11 19:44:42.462876 : Epoch  7, Batch    179, Loss  0.878805, Average Loss  0.869746, Time  0.169970
2021-09-11 19:44:44.089833 : Epoch  7, Batch    180, Loss  0.867322, Average Loss  0.869769, Time  0.174930
2021-09-11 19:44:45.689831 : Epoch  7, Batch    181, Loss  0.870160, Average Loss  0.869790, Time  0.169625
2021-09-11 19:44:47.290765 : Epoch  7, Batch    182, Loss  0.886007, Average Loss  0.869944, Time  0.171373
2021-09-11 19:44:48.895869 : Epoch  7, Batch    183, Loss  0.898149, Average Loss  0.870097, Time  0.171890
2021-09-11 19:44:50.506022 : Epoch  7, Batch    184, Loss  0.882164, Average Loss  0.870146, Time  0.173492
2021-09-11 19:44:52.110026 : Epoch  7, Batch    185, Loss  0.872895, Average Loss  0.870152, Time  0.169905
2021-09-11 19:44:53.717780 : Epoch  7, Batch    186, Loss  0.854447, Average Loss  0.870093, Time  0.180611
2021-09-11 19:44:55.315206 : Epoch  7, Batch    187, Loss  0.904609, Average Loss  0.870296, Time  0.171954
2021-09-11 19:44:56.950310 : Epoch  7, Batch    188, Loss  0.879750, Average Loss  0.870319, Time  0.184030
2021-09-11 19:44:58.562854 : Epoch  7, Batch    189, Loss  0.883302, Average Loss  0.870405, Time  0.173342
2021-09-11 19:45:00.164429 : Epoch  7, Batch    190, Loss  0.869203, Average Loss  0.870496, Time  0.173346
2021-09-11 19:45:01.748143 : Epoch  7, Batch    191, Loss  0.865485, Average Loss  0.870332, Time  0.170635
2021-09-11 19:45:03.347873 : Epoch  7, Batch    192, Loss  0.890939, Average Loss  0.870508, Time  0.174579
2021-09-11 19:45:04.997377 : Epoch  7, Batch    193, Loss  0.872736, Average Loss  0.870542, Time  0.178214
2021-09-11 19:45:06.596192 : Epoch  7, Batch    194, Loss  0.880012, Average Loss  0.870667, Time  0.170147
2021-09-11 19:45:08.242102 : Epoch  7, Batch    195, Loss  0.914169, Average Loss  0.870980, Time  0.176279
2021-09-11 19:45:09.821972 : Epoch  7, Batch    196, Loss  0.874950, Average Loss  0.870934, Time  0.173380
2021-09-11 19:45:11.398991 : Epoch  7, Batch    197, Loss  0.900629, Average Loss  0.870994, Time  0.170100
2021-09-11 19:45:12.981859 : Epoch  7, Batch    198, Loss  0.878437, Average Loss  0.871032, Time  0.170331
2021-09-11 19:45:14.569816 : Epoch  7, Batch    199, Loss  0.851202, Average Loss  0.870971, Time  0.177120
2021-09-11 19:45:16.138936 : Epoch  7, Batch    200, Loss  0.860482, Average Loss  0.870993, Time  0.171932
2021-09-11 19:45:17.722052 : Epoch  7, Batch    201, Loss  0.850150, Average Loss  0.870824, Time  0.176288
2021-09-11 19:45:19.310803 : Epoch  7, Batch    202, Loss  0.869173, Average Loss  0.870731, Time  0.180038
2021-09-11 19:45:20.902762 : Epoch  7, Batch    203, Loss  0.873588, Average Loss  0.870836, Time  0.170000
2021-09-11 19:45:22.489809 : Epoch  7, Batch    204, Loss  0.835490, Average Loss  0.870743, Time  0.173947
2021-09-11 19:45:24.059769 : Epoch  7, Batch    205, Loss  0.857605, Average Loss  0.870857, Time  0.171897
2021-09-11 19:45:25.635842 : Epoch  7, Batch    206, Loss  0.852770, Average Loss  0.870587, Time  0.175313
2021-09-11 19:45:27.221849 : Epoch  7, Batch    207, Loss  0.871486, Average Loss  0.870588, Time  0.170217
2021-09-11 19:45:28.842835 : Epoch  7, Batch    208, Loss  0.851121, Average Loss  0.870563, Time  0.174019
2021-09-11 19:45:30.452035 : Epoch  7, Batch    209, Loss  0.862851, Average Loss  0.870595, Time  0.170174
2021-09-11 19:45:32.060752 : Epoch  7, Batch    210, Loss  0.841405, Average Loss  0.870491, Time  0.171293
2021-09-11 19:45:33.663851 : Epoch  7, Batch    211, Loss  0.907064, Average Loss  0.870569, Time  0.171041
2021-09-11 19:45:35.260743 : Epoch  7, Batch    212, Loss  0.865131, Average Loss  0.870688, Time  0.170288
2021-09-11 19:45:36.858736 : Epoch  7, Batch    213, Loss  0.891454, Average Loss  0.870934, Time  0.170109
2021-09-11 19:45:38.460799 : Epoch  7, Batch    214, Loss  0.883769, Average Loss  0.871092, Time  0.170154
2021-09-11 19:45:40.072809 : Epoch  7, Batch    215, Loss  0.864780, Average Loss  0.871109, Time  0.173697
2021-09-11 19:45:41.667799 : Epoch  7, Batch    216, Loss  0.850011, Average Loss  0.871100, Time  0.170038
2021-09-11 19:45:43.274760 : Epoch  7, Batch    217, Loss  0.875807, Average Loss  0.871121, Time  0.169991
2021-09-11 19:45:44.903030 : Epoch  7, Batch    218, Loss  0.888535, Average Loss  0.871188, Time  0.169925
2021-09-11 19:45:46.519825 : Epoch  7, Batch    219, Loss  0.863464, Average Loss  0.871224, Time  0.172062
2021-09-11 19:45:48.116750 : Epoch  7, Batch    220, Loss  0.865402, Average Loss  0.871121, Time  0.171837
2021-09-11 19:45:49.699753 : Epoch  7, Batch    221, Loss  0.898678, Average Loss  0.871136, Time  0.170115
2021-09-11 19:45:51.302741 : Epoch  7, Batch    222, Loss  0.892539, Average Loss  0.871161, Time  0.176278
2021-09-11 19:45:52.900041 : Epoch  7, Batch    223, Loss  0.880281, Average Loss  0.871143, Time  0.171557
2021-09-11 19:45:54.563026 : Epoch  7, Batch    224, Loss  0.890866, Average Loss  0.871329, Time  0.177083
2021-09-11 19:45:56.179827 : Epoch  7, Batch    225, Loss  0.866153, Average Loss  0.871408, Time  0.173420
2021-09-11 19:45:57.781028 : Epoch  7, Batch    226, Loss  0.859298, Average Loss  0.871449, Time  0.175567
2021-09-11 19:45:59.361834 : Epoch  7, Batch    227, Loss  0.861496, Average Loss  0.871463, Time  0.173263
2021-09-11 19:46:00.972033 : Epoch  7, Batch    228, Loss  0.857733, Average Loss  0.871391, Time  0.170492
2021-09-11 19:46:02.616810 : Epoch  7, Batch    229, Loss  0.842118, Average Loss  0.871223, Time  0.170793
2021-09-11 19:46:04.212460 : Epoch  7, Batch    230, Loss  0.892732, Average Loss  0.871447, Time  0.170161
2021-09-11 19:46:05.817036 : Epoch  7, Batch    231, Loss  0.908104, Average Loss  0.871648, Time  0.170177
2021-09-11 19:46:07.439043 : Epoch  7, Batch    232, Loss  0.865004, Average Loss  0.871518, Time  0.170118
2021-09-11 19:46:09.083750 : Epoch  7, Batch    233, Loss  0.832275, Average Loss  0.871350, Time  0.170119
2021-09-11 19:46:10.685012 : Epoch  7, Batch    234, Loss  0.844713, Average Loss  0.871204, Time  0.174425
2021-09-11 19:47:35.492882 : CheckPoint: Validation Loss  0.00031002, Best Loss  0.00029019
2021-09-11 19:47:40.189255 : Epoch  6, Batch   1721, Loss  0.881984, Average Loss  0.868870, Time  0.240029
2021-09-11 19:47:45.966316 : Epoch  6, Batch   1722, Loss  0.876927, Average Loss  0.869028, Time  0.287296
2021-09-11 19:47:50.636138 : Epoch  6, Batch   1723, Loss  0.865209, Average Loss  0.869063, Time  0.409183
2021-09-11 19:47:56.339195 : Epoch  6, Batch   1724, Loss  0.849178, Average Loss  0.868931, Time  0.312413
2021-09-11 19:48:03.625167 : Epoch  6, Batch   1725, Loss  0.864192, Average Loss  0.868890, Time  0.276781
2021-09-11 19:48:11.218439 : Epoch  6, Batch   1726, Loss  0.873068, Average Loss  0.868952, Time  0.348425
2021-09-11 19:48:16.630220 : Epoch  6, Batch   1727, Loss  0.866370, Average Loss  0.868848, Time  0.267838
2021-09-11 19:48:24.492347 : Epoch  6, Batch   1728, Loss  0.869215, Average Loss  0.868771, Time  0.306210
2021-09-11 19:48:29.492813 : Epoch  6, Batch   1729, Loss  0.866372, Average Loss  0.868747, Time  0.238809
2021-09-11 19:48:34.451780 : Epoch  6, Batch   1730, Loss  0.867281, Average Loss  0.868753, Time  0.361114
2021-09-11 19:48:39.794896 : Epoch  6, Batch   1731, Loss  0.858261, Average Loss  0.868722, Time  0.321286
2021-09-11 19:48:44.068589 : Epoch  6, Batch   1732, Loss  0.849669, Average Loss  0.868629, Time  0.305491
2021-09-11 19:48:48.667890 : Epoch  6, Batch   1733, Loss  0.881961, Average Loss  0.868719, Time  0.302300
2021-09-11 19:48:54.712240 : Epoch  6, Batch   1734, Loss  0.876422, Average Loss  0.868772, Time  0.284638
2021-09-11 19:49:00.864816 : Epoch  6, Batch   1735, Loss  0.866273, Average Loss  0.868918, Time  0.292501
2021-09-11 19:49:06.052852 : Epoch  6, Batch   1736, Loss  0.870532, Average Loss  0.868906, Time  0.315924
2021-09-11 19:49:12.416959 : Epoch  6, Batch   1737, Loss  0.855441, Average Loss  0.868827, Time  0.295556
2021-09-11 19:49:17.780257 : Epoch  6, Batch   1738, Loss  0.866891, Average Loss  0.868884, Time  0.290588
2021-09-11 19:49:23.716285 : Epoch  6, Batch   1739, Loss  0.867583, Average Loss  0.868883, Time  0.295799
2021-09-11 19:49:31.391426 : Epoch  6, Batch   1740, Loss  0.884166, Average Loss  0.868956, Time  0.555445
2021-09-11 19:49:37.881424 : Epoch  6, Batch   1741, Loss  0.877961, Average Loss  0.868961, Time  0.413099
2021-09-11 19:49:44.599715 : Epoch  6, Batch   1742, Loss  0.888600, Average Loss  0.869063, Time  0.359400
2021-09-11 19:49:51.365076 : Epoch  6, Batch   1743, Loss  0.857939, Average Loss  0.868899, Time  0.341855
2021-09-11 19:49:56.664398 : Epoch  6, Batch   1744, Loss  0.862613, Average Loss  0.868789, Time  0.348395
2021-09-11 19:50:02.397368 : Epoch  6, Batch   1745, Loss  0.874859, Average Loss  0.868847, Time  0.336607
2021-09-11 19:50:09.290752 : Epoch  6, Batch   1746, Loss  0.877245, Average Loss  0.868797, Time  0.379019
2021-09-11 19:50:16.425713 : Epoch  6, Batch   1747, Loss  0.881161, Average Loss  0.868745, Time  0.298211
2021-09-11 19:50:24.034200 : Epoch  6, Batch   1748, Loss  0.863683, Average Loss  0.868755, Time  0.268040
2021-09-11 19:50:30.403111 : Epoch  6, Batch   1749, Loss  0.848548, Average Loss  0.868652, Time  0.238590
2021-09-11 19:50:37.673814 : Epoch  6, Batch   1750, Loss  0.872766, Average Loss  0.868568, Time  0.291662
2021-09-11 19:50:41.778740 : Epoch  6, Batch   1751, Loss  0.874123, Average Loss  0.868646, Time  0.238035
2021-09-11 19:50:49.065769 : Epoch  6, Batch   1752, Loss  0.860463, Average Loss  0.868643, Time  0.393811
2021-09-11 19:50:51.223725 : CheckPoint: Validation Loss  0.00060089, Best Loss  0.00057266
2021-09-11 19:50:52.847949 : Epoch  7, Batch    235, Loss  0.843959, Average Loss  0.870989, Time  0.178283
2021-09-11 19:50:54.470004 : Epoch  7, Batch    236, Loss  0.887934, Average Loss  0.871216, Time  0.170799
2021-09-11 19:50:55.077578 : Epoch  6, Batch   1753, Loss  0.869250, Average Loss  0.868645, Time  0.346721
2021-09-11 19:50:56.071787 : Epoch  7, Batch    237, Loss  0.869486, Average Loss  0.871213, Time  0.171649
2021-09-11 19:50:57.684067 : Epoch  7, Batch    238, Loss  0.886668, Average Loss  0.871280, Time  0.174520
2021-09-11 19:50:59.311016 : Epoch  7, Batch    239, Loss  0.868978, Average Loss  0.871307, Time  0.174393
2021-09-11 19:51:00.453737 : Epoch  6, Batch   1754, Loss  0.872608, Average Loss  0.868619, Time  0.425445
2021-09-11 19:51:00.927028 : Epoch  7, Batch    240, Loss  0.844917, Average Loss  0.871324, Time  0.179027
2021-09-11 19:51:02.506050 : Epoch  7, Batch    241, Loss  0.867583, Average Loss  0.871238, Time  0.171613
2021-09-11 19:51:03.807458 : Epoch  6, Batch   1755, Loss  0.860722, Average Loss  0.868577, Time  0.369508
2021-09-11 19:51:04.113866 : Epoch  7, Batch    242, Loss  0.846314, Average Loss  0.871244, Time  0.176753
2021-09-11 19:51:05.705024 : Epoch  7, Batch    243, Loss  0.878259, Average Loss  0.871214, Time  0.170338
2021-09-11 19:51:07.344027 : Epoch  7, Batch    244, Loss  0.856322, Average Loss  0.871267, Time  0.176959
2021-09-11 19:51:08.970816 : Epoch  7, Batch    245, Loss  0.888374, Average Loss  0.871422, Time  0.178210
2021-09-11 19:51:09.791361 : Epoch  6, Batch   1756, Loss  0.875645, Average Loss  0.868593, Time  0.277898
2021-09-11 19:51:10.579783 : Epoch  7, Batch    246, Loss  0.875252, Average Loss  0.871425, Time  0.170655
2021-09-11 19:51:12.189860 : Epoch  7, Batch    247, Loss  0.856636, Average Loss  0.871337, Time  0.172042
2021-09-11 19:51:13.813765 : Epoch  7, Batch    248, Loss  0.867508, Average Loss  0.871274, Time  0.174432
2021-09-11 19:51:13.973947 : Epoch  6, Batch   1757, Loss  0.869051, Average Loss  0.868557, Time  0.270587
2021-09-11 19:51:15.435803 : Epoch  7, Batch    249, Loss  0.892507, Average Loss  0.871408, Time  0.175124
2021-09-11 19:51:17.053758 : Epoch  7, Batch    250, Loss  0.869128, Average Loss  0.871523, Time  0.175198
2021-09-11 19:51:18.675039 : Epoch  7, Batch    251, Loss  0.874871, Average Loss  0.871425, Time  0.172754
2021-09-11 19:51:20.294034 : Epoch  7, Batch    252, Loss  0.846364, Average Loss  0.871201, Time  0.172060
2021-09-11 19:51:20.519631 : Epoch  6, Batch   1758, Loss  0.870539, Average Loss  0.868525, Time  0.280612
2021-09-11 19:51:21.906742 : Epoch  7, Batch    253, Loss  0.859315, Average Loss  0.871068, Time  0.170759
2021-09-11 19:51:23.499829 : Epoch  7, Batch    254, Loss  0.873267, Average Loss  0.871173, Time  0.170361
2021-09-11 19:51:25.073765 : Epoch  7, Batch    255, Loss  0.882281, Average Loss  0.871194, Time  0.171472
2021-09-11 19:51:25.635886 : Epoch  6, Batch   1759, Loss  0.863739, Average Loss  0.868509, Time  0.254510
2021-09-11 19:51:26.671876 : Epoch  7, Batch    256, Loss  0.868406, Average Loss  0.871218, Time  0.172025
2021-09-11 19:51:28.267920 : Epoch  7, Batch    257, Loss  0.897543, Average Loss  0.871339, Time  0.171883
2021-09-11 19:51:29.873025 : Epoch  7, Batch    258, Loss  0.874060, Average Loss  0.871293, Time  0.171248
2021-09-11 19:51:31.276778 : Epoch  6, Batch   1760, Loss  0.878760, Average Loss  0.868556, Time  0.288836
2021-09-11 19:51:31.479041 : Epoch  7, Batch    259, Loss  0.878793, Average Loss  0.871430, Time  0.174506
2021-09-11 19:51:33.073839 : Epoch  7, Batch    260, Loss  0.883971, Average Loss  0.871484, Time  0.178295
2021-09-11 19:51:34.654036 : Epoch  7, Batch    261, Loss  0.872515, Average Loss  0.871557, Time  0.170967
2021-09-11 19:51:36.299036 : Epoch  7, Batch    262, Loss  0.861185, Average Loss  0.871612, Time  0.173268
2021-09-11 19:51:36.651986 : Epoch  6, Batch   1761, Loss  0.869546, Average Loss  0.868662, Time  0.503913
2021-09-11 19:51:37.868781 : Epoch  7, Batch    263, Loss  0.884555, Average Loss  0.871673, Time  0.170735
2021-09-11 19:51:39.466757 : Epoch  7, Batch    264, Loss  0.875870, Average Loss  0.871605, Time  0.172020
2021-09-11 19:51:41.067812 : Epoch  7, Batch    265, Loss  0.881265, Average Loss  0.871703, Time  0.170453
2021-09-11 19:51:42.661847 : Epoch  7, Batch    266, Loss  0.905208, Average Loss  0.871902, Time  0.175931
2021-09-11 19:51:42.984758 : Epoch  6, Batch   1762, Loss  0.858956, Average Loss  0.868661, Time  0.330942
2021-09-11 19:51:44.247805 : Epoch  7, Batch    267, Loss  0.837450, Average Loss  0.871669, Time  0.170259
2021-09-11 19:51:45.820971 : Epoch  7, Batch    268, Loss  0.836146, Average Loss  0.871620, Time  0.177631
2021-09-11 19:51:47.411742 : Epoch  7, Batch    269, Loss  0.867577, Average Loss  0.871516, Time  0.170696
2021-09-11 19:51:48.212826 : Epoch  6, Batch   1763, Loss  0.861569, Average Loss  0.868681, Time  0.283855
2021-09-11 19:51:49.014786 : Epoch  7, Batch    270, Loss  0.886478, Average Loss  0.871541, Time  0.170548
2021-09-11 19:51:50.600820 : Epoch  7, Batch    271, Loss  0.898389, Average Loss  0.871746, Time  0.170116
2021-09-11 19:51:51.549738 : Epoch  6, Batch   1764, Loss  0.848443, Average Loss  0.868477, Time  0.384163
2021-09-11 19:51:52.214027 : Epoch  7, Batch    272, Loss  0.878144, Average Loss  0.871866, Time  0.171372
2021-09-11 19:51:53.805022 : Epoch  7, Batch    273, Loss  0.903365, Average Loss  0.871975, Time  0.170665
2021-09-11 19:51:55.412779 : Epoch  7, Batch    274, Loss  0.873181, Average Loss  0.871902, Time  0.182157
2021-09-11 19:51:56.992861 : Epoch  7, Batch    275, Loss  0.861141, Average Loss  0.871895, Time  0.170237
2021-09-11 19:51:57.715355 : Epoch  6, Batch   1765, Loss  0.863463, Average Loss  0.868446, Time  0.303966
2021-09-11 19:51:58.623929 : Epoch  7, Batch    276, Loss  0.860890, Average Loss  0.871708, Time  0.170096
2021-09-11 19:52:00.209818 : Epoch  7, Batch    277, Loss  0.873478, Average Loss  0.871670, Time  0.171011
2021-09-11 19:52:01.808742 : Epoch  7, Batch    278, Loss  0.870292, Average Loss  0.871675, Time  0.175849
2021-09-11 19:52:03.406830 : Epoch  7, Batch    279, Loss  0.887856, Average Loss  0.871788, Time  0.177393
2021-09-11 19:52:04.192389 : Epoch  6, Batch   1766, Loss  0.869606, Average Loss  0.868517, Time  0.279864
2021-09-11 19:52:05.021743 : Epoch  7, Batch    280, Loss  0.862167, Average Loss  0.871727, Time  0.182260
2021-09-11 19:52:06.627763 : Epoch  7, Batch    281, Loss  0.874644, Average Loss  0.871785, Time  0.171178
2021-09-11 19:52:08.208816 : Epoch  7, Batch    282, Loss  0.888184, Average Loss  0.871936, Time  0.170001
2021-09-11 19:52:09.776261 : Epoch  7, Batch    283, Loss  0.861750, Average Loss  0.871848, Time  0.169908
2021-09-11 19:52:10.303083 : Epoch  6, Batch   1767, Loss  0.867753, Average Loss  0.868493, Time  0.244256
2021-09-11 19:52:11.356786 : Epoch  7, Batch    284, Loss  0.855330, Average Loss  0.871581, Time  0.172855
2021-09-11 19:52:12.953809 : Epoch  7, Batch    285, Loss  0.845543, Average Loss  0.871534, Time  0.174241
2021-09-11 19:52:14.706037 : Epoch  7, Batch    286, Loss  0.873439, Average Loss  0.871411, Time  0.172411
2021-09-11 19:52:15.520767 : Epoch  6, Batch   1768, Loss  0.870964, Average Loss  0.868542, Time  0.245196
2021-09-11 19:52:16.298784 : Epoch  7, Batch    287, Loss  0.891029, Average Loss  0.871465, Time  0.170350
2021-09-11 19:52:17.890759 : Epoch  7, Batch    288, Loss  0.895068, Average Loss  0.871669, Time  0.179302
2021-09-11 19:52:19.513037 : Epoch  7, Batch    289, Loss  0.890072, Average Loss  0.871716, Time  0.172114
2021-09-11 19:52:21.034180 : Epoch  6, Batch   1769, Loss  0.867619, Average Loss  0.868584, Time  0.274309
2021-09-11 19:52:21.099830 : Epoch  7, Batch    290, Loss  0.892675, Average Loss  0.871808, Time  0.169881
2021-09-11 19:52:22.665039 : Epoch  7, Batch    291, Loss  0.875869, Average Loss  0.871788, Time  0.169728
2021-09-11 19:52:24.268033 : Epoch  7, Batch    292, Loss  0.862192, Average Loss  0.871728, Time  0.178217
2021-09-11 19:52:25.875023 : Epoch  7, Batch    293, Loss  0.900914, Average Loss  0.871746, Time  0.179200
2021-09-11 19:52:27.053251 : Epoch  6, Batch   1770, Loss  0.872583, Average Loss  0.868568, Time  0.330408
2021-09-11 19:52:27.456842 : Epoch  7, Batch    294, Loss  0.876753, Average Loss  0.871985, Time  0.179962
2021-09-11 19:52:29.077822 : Epoch  7, Batch    295, Loss  0.867831, Average Loss  0.872004, Time  0.176149
2021-09-11 19:52:30.663755 : Epoch  7, Batch    296, Loss  0.873072, Average Loss  0.872019, Time  0.174232
2021-09-11 19:52:32.242750 : Epoch  7, Batch    297, Loss  0.866263, Average Loss  0.871882, Time  0.169999
2021-09-11 19:52:32.484283 : Epoch  6, Batch   1771, Loss  0.901140, Average Loss  0.868800, Time  0.309394
2021-09-11 19:52:33.825036 : Epoch  7, Batch    298, Loss  0.872188, Average Loss  0.871890, Time  0.173385
2021-09-11 19:52:35.427749 : Epoch  7, Batch    299, Loss  0.856518, Average Loss  0.871775, Time  0.172511
2021-09-11 19:52:37.039782 : Epoch  7, Batch    300, Loss  0.861463, Average Loss  0.871896, Time  0.170289
2021-09-11 19:52:37.859931 : Epoch  6, Batch   1772, Loss  0.871427, Average Loss  0.868856, Time  0.287044
2021-09-11 19:52:38.631028 : Epoch  7, Batch    301, Loss  0.859429, Average Loss  0.871942, Time  0.170958
2021-09-11 19:52:40.224032 : Epoch  7, Batch    302, Loss  0.846773, Average Loss  0.871786, Time  0.170170
2021-09-11 19:52:41.830807 : Epoch  7, Batch    303, Loss  0.860449, Average Loss  0.871586, Time  0.169836
2021-09-11 19:52:43.419844 : Epoch  7, Batch    304, Loss  0.856372, Average Loss  0.871435, Time  0.173239
2021-09-11 19:52:44.053988 : Epoch  6, Batch   1773, Loss  0.839887, Average Loss  0.868683, Time  0.332028
2021-09-11 19:52:45.009087 : Epoch  7, Batch    305, Loss  0.838983, Average Loss  0.871210, Time  0.175431
2021-09-11 19:52:46.616859 : Epoch  7, Batch    306, Loss  0.863111, Average Loss  0.871219, Time  0.170101
2021-09-11 19:52:48.196881 : Epoch  7, Batch    307, Loss  0.881452, Average Loss  0.871261, Time  0.176477
2021-09-11 19:52:49.800848 : Epoch  7, Batch    308, Loss  0.891796, Average Loss  0.871416, Time  0.170546
2021-09-11 19:52:50.586391 : Epoch  6, Batch   1774, Loss  0.871446, Average Loss  0.868604, Time  0.265491
2021-09-11 19:52:51.379796 : Epoch  7, Batch    309, Loss  0.851683, Average Loss  0.871406, Time  0.170377
2021-09-11 19:52:53.015160 : Epoch  7, Batch    310, Loss  0.861756, Average Loss  0.871371, Time  0.174366
2021-09-11 19:52:54.601793 : Epoch  7, Batch    311, Loss  0.836753, Average Loss  0.871159, Time  0.170297
2021-09-11 19:52:54.993861 : Epoch  6, Batch   1775, Loss  0.872096, Average Loss  0.868635, Time  0.336535
2021-09-11 19:52:56.190838 : Epoch  7, Batch    312, Loss  0.855350, Average Loss  0.871065, Time  0.172078
2021-09-11 19:52:57.785816 : Epoch  7, Batch    313, Loss  0.844990, Average Loss  0.870932, Time  0.170053
2021-09-11 19:52:59.007100 : Epoch  6, Batch   1776, Loss  0.873206, Average Loss  0.868577, Time  0.239930
2021-09-11 19:52:59.382747 : Epoch  7, Batch    314, Loss  0.872446, Average Loss  0.870896, Time  0.177077
2021-09-11 19:53:00.961031 : Epoch  7, Batch    315, Loss  0.854745, Average Loss  0.870921, Time  0.178880
2021-09-11 19:53:02.549745 : Epoch  7, Batch    316, Loss  0.863863, Average Loss  0.870745, Time  0.173130
2021-09-11 19:53:02.675053 : Epoch  6, Batch   1777, Loss  0.866502, Average Loss  0.868666, Time  0.265737
2021-09-11 19:53:04.160030 : Epoch  7, Batch    317, Loss  0.883019, Average Loss  0.870755, Time  0.171634
2021-09-11 19:53:05.748740 : Epoch  7, Batch    318, Loss  0.857673, Average Loss  0.870690, Time  0.170456
2021-09-11 19:53:07.324834 : Epoch  7, Batch    319, Loss  0.815437, Average Loss  0.870612, Time  0.170274
2021-09-11 19:53:08.544131 : Epoch  6, Batch   1778, Loss  0.878639, Average Loss  0.868659, Time  0.307574
2021-09-11 19:53:08.887742 : Epoch  7, Batch    320, Loss  0.814517, Average Loss  0.870322, Time  0.171805
2021-09-11 19:53:10.446938 : Epoch  7, Batch    321, Loss  0.931471, Average Loss  0.870596, Time  0.169597
2021-09-11 19:53:12.045789 : Epoch  7, Batch    322, Loss  0.894653, Average Loss  0.870732, Time  0.180511
2021-09-11 19:53:13.625014 : Epoch  7, Batch    323, Loss  0.842678, Average Loss  0.870564, Time  0.172701
2021-09-11 19:53:15.147891 : Epoch  6, Batch   1779, Loss  0.862643, Average Loss  0.868626, Time  0.413466
2021-09-11 19:53:15.246045 : Epoch  7, Batch    324, Loss  0.892670, Average Loss  0.870726, Time  0.172813
2021-09-11 19:53:16.823841 : Epoch  7, Batch    325, Loss  0.868440, Average Loss  0.870677, Time  0.170092
2021-09-11 19:53:18.418749 : Epoch  7, Batch    326, Loss  0.880564, Average Loss  0.870685, Time  0.172885
2021-09-11 19:53:20.024027 : Epoch  7, Batch    327, Loss  0.866254, Average Loss  0.870683, Time  0.180758
2021-09-11 19:53:20.034220 : Epoch  6, Batch   1780, Loss  0.836820, Average Loss  0.868371, Time  0.321100
2021-09-11 19:53:21.623890 : Epoch  7, Batch    328, Loss  0.873706, Average Loss  0.870773, Time  0.173917
2021-09-11 19:53:23.230824 : Epoch  7, Batch    329, Loss  0.889532, Average Loss  0.870924, Time  0.173200
2021-09-11 19:53:24.840763 : Epoch  7, Batch    330, Loss  0.911370, Average Loss  0.871244, Time  0.170120
2021-09-11 19:53:26.296107 : Epoch  6, Batch   1781, Loss  0.870825, Average Loss  0.868422, Time  0.550817
2021-09-11 19:53:26.431839 : Epoch  7, Batch    331, Loss  0.879742, Average Loss  0.871298, Time  0.171791
2021-09-11 19:53:28.018755 : Epoch  7, Batch    332, Loss  0.872089, Average Loss  0.871323, Time  0.172347
2021-09-11 19:53:29.622840 : Epoch  7, Batch    333, Loss  0.866482, Average Loss  0.871261, Time  0.170040
2021-09-11 19:53:31.221775 : Epoch  7, Batch    334, Loss  0.874680, Average Loss  0.871251, Time  0.170045
2021-09-11 19:53:32.385949 : Epoch  6, Batch   1782, Loss  0.872671, Average Loss  0.868450, Time  0.285705
2021-09-11 19:53:39.007721 : Epoch  6, Batch   1783, Loss  0.865113, Average Loss  0.868498, Time  0.238139
2021-09-11 19:53:44.323170 : Epoch  6, Batch   1784, Loss  0.858938, Average Loss  0.868482, Time  0.303512
2021-09-11 19:53:48.948945 : Epoch  6, Batch   1785, Loss  0.868546, Average Loss  0.868472, Time  0.411566
2021-09-11 19:53:52.903192 : Epoch  6, Batch   1786, Loss  0.844894, Average Loss  0.868364, Time  0.267028
2021-09-11 19:53:57.802999 : Epoch  6, Batch   1787, Loss  0.866505, Average Loss  0.868401, Time  0.308446
2021-09-11 19:54:02.999347 : Epoch  6, Batch   1788, Loss  0.870002, Average Loss  0.868358, Time  0.279114
2021-09-11 19:54:07.204342 : Epoch  6, Batch   1789, Loss  0.858557, Average Loss  0.868294, Time  0.268818
2021-09-11 19:54:13.181205 : Epoch  6, Batch   1790, Loss  0.871792, Average Loss  0.868294, Time  0.321060
2021-09-11 19:54:18.167309 : Epoch  6, Batch   1791, Loss  0.873249, Average Loss  0.868261, Time  0.389973
2021-09-11 19:54:28.964089 : Epoch  6, Batch   1792, Loss  0.862531, Average Loss  0.868237, Time  0.284721
2021-09-11 19:54:34.706349 : Epoch  6, Batch   1793, Loss  0.852167, Average Loss  0.868057, Time  0.301728
2021-09-11 19:54:40.020877 : Epoch  6, Batch   1794, Loss  0.887675, Average Loss  0.868164, Time  0.307877
2021-09-11 19:54:45.515178 : Epoch  6, Batch   1795, Loss  0.881991, Average Loss  0.868141, Time  0.296875
2021-09-11 19:54:48.935872 : Epoch  6, Batch   1796, Loss  0.855668, Average Loss  0.868055, Time  0.331191
2021-09-11 19:54:56.659586 : Epoch  6, Batch   1797, Loss  0.859097, Average Loss  0.867992, Time  0.332271
2021-09-11 19:55:00.392900 : Epoch  6, Batch   1798, Loss  0.867612, Average Loss  0.868003, Time  0.315510
2021-09-11 19:55:04.063990 : Epoch  6, Batch   1799, Loss  0.872131, Average Loss  0.868138, Time  0.237664
2021-09-11 19:55:08.962095 : Epoch  6, Batch   1800, Loss  0.857805, Average Loss  0.868061, Time  0.294024
2021-09-11 19:55:13.589279 : Epoch  6, Batch   1801, Loss  0.875560, Average Loss  0.868201, Time  0.298075
2021-09-11 19:55:18.917780 : Epoch  6, Batch   1802, Loss  0.871070, Average Loss  0.868220, Time  0.255121
2021-09-11 19:55:24.239163 : Epoch  6, Batch   1803, Loss  0.869247, Average Loss  0.868191, Time  0.373770
2021-09-11 19:55:33.388835 : Epoch  6, Batch   1804, Loss  0.864918, Average Loss  0.868223, Time  0.368936
2021-09-11 19:55:37.941836 : Epoch  6, Batch   1805, Loss  0.880565, Average Loss  0.868277, Time  0.279867
2021-09-11 19:55:43.878312 : Epoch  6, Batch   1806, Loss  0.884744, Average Loss  0.868396, Time  0.348474
2021-09-11 19:55:47.429084 : Epoch  6, Batch   1807, Loss  0.862938, Average Loss  0.868382, Time  0.279486
2021-09-11 19:55:54.337173 : Epoch  6, Batch   1808, Loss  0.873600, Average Loss  0.868283, Time  0.285557
2021-09-11 19:55:59.770796 : Epoch  6, Batch   1809, Loss  0.859275, Average Loss  0.868317, Time  0.304616
2021-09-11 19:56:03.284165 : Epoch  6, Batch   1810, Loss  0.870779, Average Loss  0.868297, Time  0.285359
2021-09-11 19:56:08.323625 : Epoch  6, Batch   1811, Loss  0.864736, Average Loss  0.868201, Time  0.317979
2021-09-11 19:56:15.196970 : Epoch  6, Batch   1812, Loss  0.866268, Average Loss  0.868167, Time  0.239928
2021-09-11 19:56:21.973306 : Epoch  6, Batch   1813, Loss  0.886386, Average Loss  0.868231, Time  0.394119
2021-09-11 19:56:25.166773 : Epoch  6, Batch   1814, Loss  0.831716, Average Loss  0.868043, Time  0.280226
2021-09-11 19:56:29.441159 : Epoch  6, Batch   1815, Loss  0.872942, Average Loss  0.868079, Time  0.241004
2021-09-11 19:56:33.444919 : Epoch  6, Batch   1816, Loss  0.879914, Average Loss  0.868110, Time  0.280956
2021-09-11 19:56:37.046207 : Epoch  6, Batch   1817, Loss  0.847927, Average Loss  0.867958, Time  0.239335
2021-09-11 19:56:41.350237 : Epoch  6, Batch   1818, Loss  0.889031, Average Loss  0.868124, Time  0.346314
2021-09-11 19:56:47.478621 : Epoch  6, Batch   1819, Loss  0.879240, Average Loss  0.868143, Time  0.280248
2021-09-11 19:56:54.428068 : Epoch  6, Batch   1820, Loss  0.878010, Average Loss  0.868148, Time  0.336805
2021-09-11 19:58:11.683727 : CheckPoint: Validation Loss  0.00059014, Best Loss  0.00057266
2021-09-11 19:58:13.318133 : Epoch  7, Batch    335, Loss  0.848382, Average Loss  0.871107, Time  0.177891
2021-09-11 19:58:14.937747 : Epoch  7, Batch    336, Loss  0.872922, Average Loss  0.871072, Time  0.171135
2021-09-11 19:58:16.549843 : Epoch  7, Batch    337, Loss  0.886532, Average Loss  0.871108, Time  0.170391
2021-09-11 19:58:18.173742 : Epoch  7, Batch    338, Loss  0.880662, Average Loss  0.871133, Time  0.170451
2021-09-11 19:58:19.800164 : Epoch  7, Batch    339, Loss  0.870087, Average Loss  0.871138, Time  0.170604
2021-09-11 19:58:21.413035 : Epoch  7, Batch    340, Loss  0.868043, Average Loss  0.871080, Time  0.170048
2021-09-11 19:58:23.018238 : Epoch  7, Batch    341, Loss  0.902916, Average Loss  0.871394, Time  0.170602
2021-09-11 19:58:24.626286 : Epoch  7, Batch    342, Loss  0.870320, Average Loss  0.871376, Time  0.171144
2021-09-11 19:58:26.246875 : Epoch  7, Batch    343, Loss  0.881820, Average Loss  0.871466, Time  0.170625
2021-09-11 19:58:27.878117 : Epoch  7, Batch    344, Loss  0.857755, Average Loss  0.871420, Time  0.170160
2021-09-11 19:58:29.488785 : Epoch  7, Batch    345, Loss  0.867788, Average Loss  0.871494, Time  0.170099
2021-09-11 19:58:31.112118 : Epoch  7, Batch    346, Loss  0.851982, Average Loss  0.871461, Time  0.170555
2021-09-11 19:58:32.717795 : Epoch  7, Batch    347, Loss  0.851637, Average Loss  0.871309, Time  0.170200
2021-09-11 19:58:34.348821 : Epoch  7, Batch    348, Loss  0.838875, Average Loss  0.871088, Time  0.172753
2021-09-11 19:58:35.971895 : Epoch  7, Batch    349, Loss  0.875206, Average Loss  0.871041, Time  0.170213
2021-09-11 19:58:37.591878 : Epoch  7, Batch    350, Loss  0.868591, Average Loss  0.871118, Time  0.170156
2021-09-11 19:58:39.214817 : Epoch  7, Batch    351, Loss  0.852453, Average Loss  0.871089, Time  0.172652
2021-09-11 19:58:40.836793 : Epoch  7, Batch    352, Loss  0.859396, Average Loss  0.871067, Time  0.169988
2021-09-11 19:58:42.453984 : Epoch  7, Batch    353, Loss  0.841175, Average Loss  0.870921, Time  0.170185
2021-09-11 19:58:44.068992 : Epoch  7, Batch    354, Loss  0.880072, Average Loss  0.871123, Time  0.169739
2021-09-11 19:58:45.705741 : Epoch  7, Batch    355, Loss  0.879318, Average Loss  0.871019, Time  0.170052
2021-09-11 19:58:47.323810 : Epoch  7, Batch    356, Loss  0.832147, Average Loss  0.870824, Time  0.169664
2021-09-11 19:58:48.938838 : Epoch  7, Batch    357, Loss  0.871842, Average Loss  0.870915, Time  0.169713
2021-09-11 19:58:50.553760 : Epoch  7, Batch    358, Loss  0.892680, Average Loss  0.871149, Time  0.169689
2021-09-11 19:58:52.168919 : Epoch  7, Batch    359, Loss  0.875412, Average Loss  0.871126, Time  0.172083
2021-09-11 19:58:53.780850 : Epoch  7, Batch    360, Loss  0.879052, Average Loss  0.871091, Time  0.169844
2021-09-11 19:58:55.406745 : Epoch  7, Batch    361, Loss  0.886160, Average Loss  0.870986, Time  0.169787
2021-09-11 19:58:57.010998 : Epoch  7, Batch    362, Loss  0.875353, Average Loss  0.870950, Time  0.169856
2021-09-11 19:58:58.620982 : Epoch  7, Batch    363, Loss  0.869627, Average Loss  0.870994, Time  0.169686
2021-09-11 19:59:00.241757 : Epoch  7, Batch    364, Loss  0.883936, Average Loss  0.871169, Time  0.169599
2021-09-11 19:59:01.855912 : Epoch  7, Batch    365, Loss  0.845629, Average Loss  0.870975, Time  0.169597
2021-09-11 19:59:03.468013 : Epoch  7, Batch    366, Loss  0.850711, Average Loss  0.870655, Time  0.169871
2021-09-11 19:59:05.086817 : Epoch  7, Batch    367, Loss  0.828172, Average Loss  0.870412, Time  0.172456
2021-09-11 19:59:06.681767 : Epoch  7, Batch    368, Loss  0.880271, Average Loss  0.870592, Time  0.169608
2021-09-11 19:59:08.310983 : Epoch  7, Batch    369, Loss  0.851114, Average Loss  0.870413, Time  0.169751
2021-09-11 19:59:09.935984 : Epoch  7, Batch    370, Loss  0.859164, Average Loss  0.870320, Time  0.169575
2021-09-11 19:59:11.557771 : Epoch  7, Batch    371, Loss  0.855509, Average Loss  0.870258, Time  0.170022
2021-09-11 19:59:13.202145 : Epoch  7, Batch    372, Loss  0.877422, Average Loss  0.870229, Time  0.173112
2021-09-11 19:59:14.809032 : Epoch  7, Batch    373, Loss  0.882677, Average Loss  0.870173, Time  0.173011
2021-09-11 19:59:16.419770 : Epoch  7, Batch    374, Loss  0.895603, Average Loss  0.870364, Time  0.171259
2021-09-11 19:59:18.025033 : Epoch  7, Batch    375, Loss  0.855148, Average Loss  0.870279, Time  0.169869
2021-09-11 19:59:19.619805 : Epoch  7, Batch    376, Loss  0.883062, Average Loss  0.870284, Time  0.170618
2021-09-11 19:59:21.233759 : Epoch  7, Batch    377, Loss  0.854549, Average Loss  0.870148, Time  0.176633
2021-09-11 19:59:22.828484 : Epoch  7, Batch    378, Loss  0.870312, Average Loss  0.870310, Time  0.177490
2021-09-11 19:59:24.417766 : Epoch  7, Batch    379, Loss  0.870375, Average Loss  0.870268, Time  0.172583
2021-09-11 19:59:26.040038 : Epoch  7, Batch    380, Loss  0.859342, Average Loss  0.870228, Time  0.178852
2021-09-11 19:59:27.657032 : Epoch  7, Batch    381, Loss  0.823373, Average Loss  0.869994, Time  0.170647
2021-09-11 19:59:29.271797 : Epoch  7, Batch    382, Loss  0.878170, Average Loss  0.869955, Time  0.170121
2021-09-11 19:59:30.856821 : Epoch  7, Batch    383, Loss  0.865853, Average Loss  0.869793, Time  0.170480
2021-09-11 19:59:32.444054 : Epoch  7, Batch    384, Loss  0.885718, Average Loss  0.869811, Time  0.169999
2021-09-11 19:59:34.043866 : Epoch  7, Batch    385, Loss  0.868565, Average Loss  0.869789, Time  0.170633
2021-09-11 19:59:35.674859 : Epoch  7, Batch    386, Loss  0.884795, Average Loss  0.869941, Time  0.172749
2021-09-11 19:59:37.266805 : Epoch  7, Batch    387, Loss  0.836498, Average Loss  0.869600, Time  0.169763
2021-09-11 19:59:38.851613 : Epoch  7, Batch    388, Loss  0.843270, Average Loss  0.869418, Time  0.173973
2021-09-11 19:59:40.439037 : Epoch  7, Batch    389, Loss  0.894798, Average Loss  0.869476, Time  0.170023
2021-09-11 19:59:42.053034 : Epoch  7, Batch    390, Loss  0.836258, Average Loss  0.869311, Time  0.176456
2021-09-11 19:59:43.651948 : Epoch  7, Batch    391, Loss  0.867208, Average Loss  0.869319, Time  0.173352
2021-09-11 19:59:45.239032 : Epoch  7, Batch    392, Loss  0.872841, Average Loss  0.869229, Time  0.173746
2021-09-11 19:59:46.854786 : Epoch  7, Batch    393, Loss  0.874792, Average Loss  0.869239, Time  0.171673
2021-09-11 19:59:48.440197 : Epoch  7, Batch    394, Loss  0.862923, Average Loss  0.869154, Time  0.169690
2021-09-11 19:59:50.077093 : Epoch  7, Batch    395, Loss  0.853420, Average Loss  0.868850, Time  0.214264
2021-09-11 19:59:51.720869 : Epoch  7, Batch    396, Loss  0.859506, Average Loss  0.868773, Time  0.170298
2021-09-11 19:59:53.331015 : Epoch  7, Batch    397, Loss  0.881574, Average Loss  0.868678, Time  0.174011
2021-09-11 19:59:54.922756 : Epoch  7, Batch    398, Loss  0.904726, Average Loss  0.868809, Time  0.170123
2021-09-11 19:59:56.527746 : Epoch  7, Batch    399, Loss  0.874951, Average Loss  0.868928, Time  0.172723
2021-09-11 19:59:58.106776 : Epoch  7, Batch    400, Loss  0.857942, Average Loss  0.868915, Time  0.170186
2021-09-11 19:59:59.718762 : Epoch  7, Batch    401, Loss  0.885362, Average Loss  0.869091, Time  0.181332
2021-09-11 20:00:01.328793 : Epoch  7, Batch    402, Loss  0.870331, Average Loss  0.869097, Time  0.170049
2021-09-11 20:00:02.953783 : Epoch  7, Batch    403, Loss  0.869305, Average Loss  0.869075, Time  0.175715
2021-09-11 20:00:04.553763 : Epoch  7, Batch    404, Loss  0.845253, Average Loss  0.869124, Time  0.172152
2021-09-11 20:00:06.131746 : Epoch  7, Batch    405, Loss  0.879412, Average Loss  0.869233, Time  0.169623
2021-09-11 20:00:07.762780 : Epoch  7, Batch    406, Loss  0.890219, Average Loss  0.869421, Time  0.179627
2021-09-11 20:00:09.363028 : Epoch  7, Batch    407, Loss  0.870916, Average Loss  0.869418, Time  0.173281
2021-09-11 20:00:10.983790 : Epoch  7, Batch    408, Loss  0.850298, Average Loss  0.869414, Time  0.178288
2021-09-11 20:00:12.590798 : Epoch  7, Batch    409, Loss  0.881744, Average Loss  0.869508, Time  0.174442
2021-09-11 20:00:14.245079 : Epoch  7, Batch    410, Loss  0.886055, Average Loss  0.869731, Time  0.172437
2021-09-11 20:00:15.868828 : Epoch  7, Batch    411, Loss  0.858518, Average Loss  0.869489, Time  0.172366
2021-09-11 20:00:17.465033 : Epoch  7, Batch    412, Loss  0.833685, Average Loss  0.869331, Time  0.173369
2021-09-11 20:00:19.084771 : Epoch  7, Batch    413, Loss  0.854484, Average Loss  0.869146, Time  0.176725
2021-09-11 20:00:20.717033 : Epoch  7, Batch    414, Loss  0.872724, Average Loss  0.869091, Time  0.169849
2021-09-11 20:00:22.337313 : Epoch  7, Batch    415, Loss  0.877452, Average Loss  0.869155, Time  0.169949
2021-09-11 20:00:23.918794 : Epoch  7, Batch    416, Loss  0.829309, Average Loss  0.869051, Time  0.170060
2021-09-11 20:00:25.524746 : Epoch  7, Batch    417, Loss  0.858955, Average Loss  0.868967, Time  0.176438
2021-09-11 20:00:27.131805 : Epoch  7, Batch    418, Loss  0.852150, Average Loss  0.868785, Time  0.170093
2021-09-11 20:00:28.750859 : Epoch  7, Batch    419, Loss  0.841456, Average Loss  0.868675, Time  0.179350
2021-09-11 20:00:30.357302 : Epoch  7, Batch    420, Loss  0.882582, Average Loss  0.868761, Time  0.174232
2021-09-11 20:00:31.936754 : Epoch  7, Batch    421, Loss  0.871144, Average Loss  0.868623, Time  0.170902
2021-09-11 20:00:33.538811 : Epoch  7, Batch    422, Loss  0.878027, Average Loss  0.868551, Time  0.173110
2021-09-11 20:00:35.155815 : Epoch  7, Batch    423, Loss  0.857919, Average Loss  0.868439, Time  0.172763
2021-09-11 20:00:36.762759 : Epoch  7, Batch    424, Loss  0.868661, Average Loss  0.868328, Time  0.172747
2021-09-11 20:00:38.360916 : Epoch  7, Batch    425, Loss  0.852699, Average Loss  0.868260, Time  0.169976
2021-09-11 20:00:39.972773 : Epoch  7, Batch    426, Loss  0.878139, Average Loss  0.868355, Time  0.170127
2021-09-11 20:00:41.590752 : Epoch  7, Batch    427, Loss  0.879244, Average Loss  0.868443, Time  0.180772
2021-09-11 20:00:43.214027 : Epoch  7, Batch    428, Loss  0.852607, Average Loss  0.868418, Time  0.176201
2021-09-11 20:00:44.811955 : Epoch  7, Batch    429, Loss  0.880435, Average Loss  0.868609, Time  0.173340
2021-09-11 20:00:46.434814 : Epoch  7, Batch    430, Loss  0.899131, Average Loss  0.868641, Time  0.170633
2021-09-11 20:00:48.092810 : Epoch  7, Batch    431, Loss  0.886959, Average Loss  0.868536, Time  0.185146
2021-09-11 20:00:49.709038 : Epoch  7, Batch    432, Loss  0.898368, Average Loss  0.868702, Time  0.172006
2021-09-11 20:00:51.323809 : Epoch  7, Batch    433, Loss  0.881408, Average Loss  0.868948, Time  0.170595
2021-09-11 20:00:52.954819 : Epoch  7, Batch    434, Loss  0.858952, Average Loss  0.869019, Time  0.171431
2021-09-11 20:05:33.333715 : CheckPoint: Validation Loss  0.00059665, Best Loss  0.00057266
2021-09-11 20:05:34.917959 : Epoch  7, Batch    435, Loss  0.864811, Average Loss  0.869124, Time  0.181154
2021-09-11 20:05:36.516995 : Epoch  7, Batch    436, Loss  0.874820, Average Loss  0.869058, Time  0.172284
2021-09-11 20:05:38.112010 : Epoch  7, Batch    437, Loss  0.851568, Average Loss  0.868968, Time  0.175613
2021-09-11 20:05:39.754032 : Epoch  7, Batch    438, Loss  0.878138, Average Loss  0.868926, Time  0.171689
2021-09-11 20:05:41.365808 : Epoch  7, Batch    439, Loss  0.869417, Average Loss  0.868928, Time  0.169819
2021-09-11 20:05:42.967024 : Epoch  7, Batch    440, Loss  0.897620, Average Loss  0.869191, Time  0.172997
2021-09-11 20:05:44.593776 : Epoch  7, Batch    441, Loss  0.838944, Average Loss  0.869048, Time  0.173216
2021-09-11 20:05:46.221035 : Epoch  7, Batch    442, Loss  0.900355, Average Loss  0.869318, Time  0.173888
2021-09-11 20:05:47.858810 : Epoch  7, Batch    443, Loss  0.849421, Average Loss  0.869174, Time  0.175156
2021-09-11 20:05:49.482036 : Epoch  7, Batch    444, Loss  0.897454, Average Loss  0.869380, Time  0.171061
2021-09-11 20:05:51.081910 : Epoch  7, Batch    445, Loss  0.908641, Average Loss  0.869481, Time  0.176243
2021-09-11 20:05:52.672792 : Epoch  7, Batch    446, Loss  0.860198, Average Loss  0.869406, Time  0.174606
2021-09-11 20:05:54.261744 : Epoch  7, Batch    447, Loss  0.858805, Average Loss  0.869417, Time  0.171849
2021-09-11 20:05:55.872040 : Epoch  7, Batch    448, Loss  0.877251, Average Loss  0.869466, Time  0.172065
2021-09-11 20:05:57.468807 : Epoch  7, Batch    449, Loss  0.873212, Average Loss  0.869369, Time  0.174809
2021-09-11 20:05:58.521859 : CheckPoint: Validation Loss  0.00029734, Best Loss  0.00029019
2021-09-11 20:05:59.110038 : Epoch  7, Batch    450, Loss  0.865855, Average Loss  0.869353, Time  0.169735
2021-09-11 20:06:00.707036 : Epoch  7, Batch    451, Loss  0.849577, Average Loss  0.869226, Time  0.170009
2021-09-11 20:06:02.318746 : Epoch  7, Batch    452, Loss  0.859731, Average Loss  0.869293, Time  0.170247
2021-09-11 20:06:02.928107 : Epoch  6, Batch   1821, Loss  0.844677, Average Loss  0.868048, Time  0.340261
2021-09-11 20:06:03.912800 : Epoch  7, Batch    453, Loss  0.869440, Average Loss  0.869344, Time  0.172470
2021-09-11 20:06:05.517037 : Epoch  7, Batch    454, Loss  0.863870, Average Loss  0.869297, Time  0.172534
2021-09-11 20:06:07.137768 : Epoch  7, Batch    455, Loss  0.866453, Average Loss  0.869218, Time  0.171869
2021-09-11 20:06:08.744802 : Epoch  7, Batch    456, Loss  0.858015, Average Loss  0.869166, Time  0.173532
2021-09-11 20:06:10.021104 : Epoch  6, Batch   1822, Loss  0.874629, Average Loss  0.868025, Time  0.322208
2021-09-11 20:06:10.353878 : Epoch  7, Batch    457, Loss  0.878527, Average Loss  0.869071, Time  0.175549
2021-09-11 20:06:11.958942 : Epoch  7, Batch    458, Loss  0.897914, Average Loss  0.869190, Time  0.170341
2021-09-11 20:06:13.565049 : Epoch  7, Batch    459, Loss  0.856528, Average Loss  0.869078, Time  0.171951
2021-09-11 20:06:15.177035 : Epoch  7, Batch    460, Loss  0.881316, Average Loss  0.869065, Time  0.170721
2021-09-11 20:06:16.774079 : Epoch  7, Batch    461, Loss  0.886890, Average Loss  0.869137, Time  0.173338
2021-09-11 20:06:16.891008 : Epoch  6, Batch   1823, Loss  0.869692, Average Loss  0.868001, Time  0.437414
2021-09-11 20:06:18.374037 : Epoch  7, Batch    462, Loss  0.873498, Average Loss  0.869199, Time  0.171330
2021-09-11 20:06:19.996923 : Epoch  7, Batch    463, Loss  0.858496, Average Loss  0.869068, Time  0.173124
2021-09-11 20:06:21.613034 : Epoch  7, Batch    464, Loss  0.884178, Average Loss  0.869110, Time  0.169719
2021-09-11 20:06:23.234039 : Epoch  7, Batch    465, Loss  0.875386, Average Loss  0.869081, Time  0.170248
2021-09-11 20:06:24.173131 : Epoch  6, Batch   1824, Loss  0.880089, Average Loss  0.868026, Time  0.274182
2021-09-11 20:06:24.871864 : Epoch  7, Batch    466, Loss  0.864218, Average Loss  0.868876, Time  0.176660
2021-09-11 20:06:26.479029 : Epoch  7, Batch    467, Loss  0.856559, Average Loss  0.868971, Time  0.172840
2021-09-11 20:06:28.094753 : Epoch  7, Batch    468, Loss  0.847183, Average Loss  0.869026, Time  0.170164
2021-09-11 20:06:29.691031 : Epoch  7, Batch    469, Loss  0.870143, Average Loss  0.869039, Time  0.171348
2021-09-11 20:06:31.306032 : Epoch  7, Batch    470, Loss  0.833428, Average Loss  0.868774, Time  0.184487
2021-09-11 20:06:31.412032 : Epoch  6, Batch   1825, Loss  0.864009, Average Loss  0.867817, Time  0.407340
2021-09-11 20:06:32.921838 : Epoch  7, Batch    471, Loss  0.869970, Average Loss  0.868632, Time  0.176956
2021-09-11 20:06:34.578042 : Epoch  7, Batch    472, Loss  0.892415, Average Loss  0.868703, Time  0.176976
2021-09-11 20:06:36.188845 : Epoch  7, Batch    473, Loss  0.858376, Average Loss  0.868478, Time  0.170946
2021-09-11 20:06:37.795840 : Epoch  7, Batch    474, Loss  0.869053, Average Loss  0.868458, Time  0.173009
2021-09-11 20:06:38.213756 : Epoch  6, Batch   1826, Loss  0.857638, Average Loss  0.867796, Time  0.312507
2021-09-11 20:06:39.384770 : Epoch  7, Batch    475, Loss  0.858454, Average Loss  0.868444, Time  0.170211
2021-09-11 20:06:40.978891 : Epoch  7, Batch    476, Loss  0.843403, Average Loss  0.868357, Time  0.173030
2021-09-11 20:06:42.576758 : Epoch  7, Batch    477, Loss  0.881030, Average Loss  0.868394, Time  0.172203
2021-09-11 20:06:43.611054 : Epoch  6, Batch   1827, Loss  0.881028, Average Loss  0.867707, Time  0.329325
2021-09-11 20:06:44.190030 : Epoch  7, Batch    478, Loss  0.893017, Average Loss  0.868508, Time  0.177651
2021-09-11 20:06:45.797039 : Epoch  7, Batch    479, Loss  0.875512, Average Loss  0.868446, Time  0.171744
2021-09-11 20:06:47.395852 : Epoch  7, Batch    480, Loss  0.849876, Average Loss  0.868385, Time  0.170096
2021-09-11 20:06:49.009038 : Epoch  7, Batch    481, Loss  0.907899, Average Loss  0.868551, Time  0.171275
2021-09-11 20:06:50.645756 : Epoch  7, Batch    482, Loss  0.849712, Average Loss  0.868359, Time  0.171682
2021-09-11 20:06:52.257821 : Epoch  7, Batch    483, Loss  0.868033, Average Loss  0.868390, Time  0.170479
2021-09-11 20:06:53.870950 : Epoch  7, Batch    484, Loss  0.871258, Average Loss  0.868470, Time  0.181146
2021-09-11 20:06:53.956785 : Epoch  6, Batch   1829, Loss  0.879863, Average Loss  0.867827, Time  0.312294
2021-09-11 20:06:55.483074 : Epoch  7, Batch    485, Loss  0.874249, Average Loss  0.868613, Time  0.172734
2021-09-11 20:06:57.089765 : Epoch  7, Batch    486, Loss  0.872129, Average Loss  0.868607, Time  0.171698
2021-09-11 20:06:58.698849 : Epoch  7, Batch    487, Loss  0.886644, Average Loss  0.868585, Time  0.171179
2021-09-11 20:06:59.216173 : Epoch  6, Batch   1830, Loss  0.887364, Average Loss  0.867946, Time  0.314577
2021-09-11 20:07:00.307818 : Epoch  7, Batch    488, Loss  0.881215, Average Loss  0.868516, Time  0.170241
2021-09-11 20:07:01.920829 : Epoch  7, Batch    489, Loss  0.848520, Average Loss  0.868308, Time  0.170285
2021-09-11 20:07:03.533822 : Epoch  7, Batch    490, Loss  0.867325, Average Loss  0.868181, Time  0.172650
2021-09-11 20:07:05.146888 : Epoch  7, Batch    491, Loss  0.887847, Average Loss  0.868241, Time  0.170348
2021-09-11 20:07:06.737571 : Epoch  7, Batch    492, Loss  0.842364, Average Loss  0.868142, Time  0.173853
2021-09-11 20:07:07.736784 : Epoch  6, Batch   1831, Loss  0.846137, Average Loss  0.867814, Time  0.275162
2021-09-11 20:07:08.342850 : Epoch  7, Batch    493, Loss  0.868891, Average Loss  0.867982, Time  0.173292
2021-09-11 20:07:09.947786 : Epoch  7, Batch    494, Loss  0.881719, Average Loss  0.868007, Time  0.173998
2021-09-11 20:07:11.593032 : Epoch  7, Batch    495, Loss  0.870466, Average Loss  0.868020, Time  0.180803
2021-09-11 20:07:13.233035 : Epoch  7, Batch    496, Loss  0.892202, Average Loss  0.868115, Time  0.188012
2021-09-11 20:07:14.830029 : Epoch  7, Batch    497, Loss  0.867918, Average Loss  0.868124, Time  0.172540
2021-09-11 20:07:14.977735 : Epoch  6, Batch   1832, Loss  0.871196, Average Loss  0.867877, Time  0.310670
2021-09-11 20:07:16.420535 : Epoch  7, Batch    498, Loss  0.848983, Average Loss  0.868008, Time  0.170220
2021-09-11 20:07:18.024868 : Epoch  7, Batch    499, Loss  0.878180, Average Loss  0.868116, Time  0.170965
2021-09-11 20:07:19.642069 : Epoch  7, Batch    500, Loss  0.858323, Average Loss  0.868100, Time  0.170843
2021-09-11 20:07:20.249790 : Epoch  6, Batch   1833, Loss  0.880042, Average Loss  0.867978, Time  0.293907
2021-09-11 20:07:21.260773 : Epoch  7, Batch    501, Loss  0.896358, Average Loss  0.868285, Time  0.170102
2021-09-11 20:07:22.872780 : Epoch  7, Batch    502, Loss  0.838700, Average Loss  0.868245, Time  0.179079
2021-09-11 20:07:24.135177 : Epoch  6, Batch   1834, Loss  0.873693, Average Loss  0.867976, Time  0.254663
2021-09-11 20:07:24.476023 : Epoch  7, Batch    503, Loss  0.869373, Average Loss  0.868289, Time  0.172282
2021-09-11 20:07:26.098780 : Epoch  7, Batch    504, Loss  0.831851, Average Loss  0.868167, Time  0.170371
2021-09-11 20:07:27.698797 : Epoch  7, Batch    505, Loss  0.843978, Average Loss  0.868192, Time  0.179783
2021-09-11 20:07:28.547009 : Epoch  6, Batch   1835, Loss  0.847798, Average Loss  0.867913, Time  0.245743
2021-09-11 20:07:29.297783 : Epoch  7, Batch    506, Loss  0.865747, Average Loss  0.868205, Time  0.170046
2021-09-11 20:07:30.907064 : Epoch  7, Batch    507, Loss  0.839455, Average Loss  0.867995, Time  0.179606
2021-09-11 20:07:32.513037 : Epoch  7, Batch    508, Loss  0.856407, Average Loss  0.867818, Time  0.172187
2021-09-11 20:07:33.064770 : Epoch  6, Batch   1836, Loss  0.868501, Average Loss  0.867853, Time  0.306528
2021-09-11 20:07:34.129795 : Epoch  7, Batch    509, Loss  0.846464, Average Loss  0.867792, Time  0.172795
2021-09-11 20:07:35.777766 : Epoch  7, Batch    510, Loss  0.857329, Average Loss  0.867770, Time  0.175516
2021-09-11 20:07:37.391846 : Epoch  7, Batch    511, Loss  0.875670, Average Loss  0.867964, Time  0.172166
2021-09-11 20:07:37.589951 : Epoch  6, Batch   1837, Loss  0.885279, Average Loss  0.867938, Time  0.272623
2021-09-11 20:07:39.019739 : Epoch  7, Batch    512, Loss  0.880644, Average Loss  0.868091, Time  0.172090
2021-09-11 20:07:40.215194 : Epoch  6, Batch   1838, Loss  0.858297, Average Loss  0.867783, Time  0.268205
2021-09-11 20:07:40.642035 : Epoch  7, Batch    513, Loss  0.843465, Average Loss  0.868083, Time  0.170115
2021-09-11 20:07:42.263770 : Epoch  7, Batch    514, Loss  0.841114, Average Loss  0.867926, Time  0.192345
2021-09-11 20:07:43.881819 : Epoch  7, Batch    515, Loss  0.862026, Average Loss  0.867963, Time  0.169835
2021-09-11 20:07:44.621170 : Epoch  6, Batch   1839, Loss  0.861827, Average Loss  0.867788, Time  0.282332
2021-09-11 20:07:45.505038 : Epoch  7, Batch    516, Loss  0.886723, Average Loss  0.868077, Time  0.171807
2021-09-11 20:07:47.142048 : Epoch  7, Batch    517, Loss  0.867650, Average Loss  0.868000, Time  0.178762
2021-09-11 20:07:48.773032 : Epoch  7, Batch    518, Loss  0.935136, Average Loss  0.868388, Time  0.170121
2021-09-11 20:07:49.361050 : Epoch  6, Batch   1840, Loss  0.871412, Average Loss  0.867913, Time  0.239285
2021-09-11 20:07:50.369997 : Epoch  7, Batch    519, Loss  0.843750, Average Loss  0.868529, Time  0.172710
2021-09-11 20:07:51.982036 : Epoch  7, Batch    520, Loss  0.885141, Average Loss  0.868882, Time  0.170393
2021-09-11 20:07:53.596761 : Epoch  7, Batch    521, Loss  0.850547, Average Loss  0.868478, Time  0.172435
2021-09-11 20:07:55.201023 : Epoch  7, Batch    522, Loss  0.856630, Average Loss  0.868287, Time  0.169578
2021-09-11 20:07:56.817730 : Epoch  7, Batch    523, Loss  0.873646, Average Loss  0.868442, Time  0.174214
2021-09-11 20:07:58.418795 : Epoch  7, Batch    524, Loss  0.900242, Average Loss  0.868480, Time  0.170855
2021-09-11 20:07:59.723842 : Epoch  6, Batch   1841, Loss  0.858692, Average Loss  0.867862, Time  0.330928
2021-09-11 20:08:00.030036 : Epoch  7, Batch    525, Loss  0.868047, Average Loss  0.868478, Time  0.172598
2021-09-11 20:08:01.627817 : Epoch  7, Batch    526, Loss  0.875662, Average Loss  0.868454, Time  0.172035
2021-09-11 20:08:03.231741 : Epoch  7, Batch    527, Loss  0.846985, Average Loss  0.868357, Time  0.170957
2021-09-11 20:08:04.665116 : Epoch  6, Batch   1842, Loss  0.862869, Average Loss  0.867719, Time  0.277002
2021-09-11 20:08:04.860745 : Epoch  7, Batch    528, Loss  0.877257, Average Loss  0.868375, Time  0.176488
2021-09-11 20:08:06.469906 : Epoch  7, Batch    529, Loss  0.859327, Average Loss  0.868224, Time  0.169962
2021-09-11 20:08:08.080030 : Epoch  7, Batch    530, Loss  0.891385, Average Loss  0.868124, Time  0.173737
2021-09-11 20:08:09.709027 : Epoch  7, Batch    531, Loss  0.882694, Average Loss  0.868139, Time  0.170390
2021-09-11 20:08:09.827043 : Epoch  6, Batch   1843, Loss  0.875417, Average Loss  0.867825, Time  0.340135
2021-09-11 20:08:11.310751 : Epoch  7, Batch    532, Loss  0.855139, Average Loss  0.868054, Time  0.171205
2021-09-11 20:08:12.921806 : Epoch  7, Batch    533, Loss  0.866654, Average Loss  0.868055, Time  0.170136
2021-09-11 20:08:14.542781 : Epoch  7, Batch    534, Loss  0.867213, Average Loss  0.868018, Time  0.170633
2021-09-11 20:08:15.757978 : Epoch  6, Batch   1844, Loss  0.859880, Average Loss  0.867715, Time  0.357896
2021-09-11 20:08:22.124153 : Epoch  6, Batch   1845, Loss  0.859436, Average Loss  0.867691, Time  0.273683
2021-09-11 20:08:28.465604 : Epoch  6, Batch   1846, Loss  0.857741, Average Loss  0.867569, Time  0.278800
2021-09-11 20:08:32.932092 : Epoch  6, Batch   1847, Loss  0.863584, Average Loss  0.867605, Time  0.279577
2021-09-11 20:08:39.686118 : Epoch  6, Batch   1848, Loss  0.892984, Average Loss  0.867730, Time  0.238164
2021-09-11 20:08:44.230853 : Epoch  6, Batch   1849, Loss  0.864560, Average Loss  0.867713, Time  0.281631
2021-09-11 20:08:47.731962 : Epoch  6, Batch   1850, Loss  0.874783, Average Loss  0.867645, Time  0.323464
2021-09-11 20:08:53.976341 : Epoch  6, Batch   1851, Loss  0.869415, Average Loss  0.867559, Time  0.384650
2021-09-11 20:08:57.863901 : Epoch  6, Batch   1852, Loss  0.883969, Average Loss  0.867536, Time  0.312025
2021-09-11 20:09:06.631741 : Epoch  6, Batch   1853, Loss  0.870422, Average Loss  0.867616, Time  0.320882
2021-09-11 20:09:11.494916 : Epoch  6, Batch   1854, Loss  0.881503, Average Loss  0.867721, Time  0.582309
2021-09-11 20:09:17.855321 : Epoch  6, Batch   1855, Loss  0.852712, Average Loss  0.867657, Time  0.327809
2021-09-11 20:09:22.904068 : Epoch  6, Batch   1856, Loss  0.876556, Average Loss  0.867652, Time  0.472624
2021-09-11 20:09:22.964591 : Saving Model after 6-th Epoch.
2021-09-11 20:09:23.882725 : Epoch Finished.
2021-09-11 20:09:59.943706 : Batch Shuffled
2021-09-11 20:10:07.127771 : Epoch  7, Batch      1, Loss  0.853483, Average Loss  0.867715, Time  0.294686
2021-09-11 20:10:12.797228 : Epoch  7, Batch      2, Loss  0.874387, Average Loss  0.867801, Time  0.297079
2021-09-11 20:10:17.349278 : Epoch  7, Batch      3, Loss  0.869149, Average Loss  0.867751, Time  0.389071
2021-09-11 20:10:23.485910 : Epoch  7, Batch      4, Loss  0.867763, Average Loss  0.867733, Time  0.382608
2021-09-11 20:10:29.440413 : Epoch  7, Batch      5, Loss  0.882312, Average Loss  0.867885, Time  0.472261
2021-09-11 20:10:36.355877 : Epoch  7, Batch      6, Loss  0.878082, Average Loss  0.867940, Time  0.282873
2021-09-11 20:10:42.029240 : Epoch  7, Batch      7, Loss  0.877439, Average Loss  0.868026, Time  0.294042
2021-09-11 20:10:45.615716 : Epoch  7, Batch      8, Loss  0.876977, Average Loss  0.868080, Time  0.291553
2021-09-11 20:10:52.084762 : Epoch  7, Batch      9, Loss  0.862907, Average Loss  0.868023, Time  0.270731
2021-09-11 20:10:58.748057 : Epoch  7, Batch     10, Loss  0.845763, Average Loss  0.867966, Time  0.237536
2021-09-11 20:11:04.549778 : Epoch  7, Batch     11, Loss  0.892091, Average Loss  0.868116, Time  0.315044
2021-09-11 20:11:11.409668 : Epoch  7, Batch     12, Loss  0.856804, Average Loss  0.868053, Time  0.310446
2021-09-11 20:11:17.585902 : Epoch  7, Batch     13, Loss  0.860765, Average Loss  0.868058, Time  0.246518
2021-09-11 20:11:22.783348 : Epoch  7, Batch     14, Loss  0.887469, Average Loss  0.868112, Time  0.289353
2021-09-11 20:11:29.384478 : Epoch  7, Batch     15, Loss  0.889219, Average Loss  0.868210, Time  0.367837
2021-09-11 20:11:34.491052 : Epoch  7, Batch     16, Loss  0.866674, Average Loss  0.868204, Time  0.321904
2021-09-11 20:11:41.396710 : Epoch  7, Batch     17, Loss  0.869986, Average Loss  0.868172, Time  0.317034
2021-09-11 20:11:47.323843 : Epoch  7, Batch     18, Loss  0.885948, Average Loss  0.868494, Time  0.244805
2021-09-11 20:11:51.374025 : Epoch  7, Batch     19, Loss  0.858009, Average Loss  0.868428, Time  0.342811
2021-09-11 20:11:55.842894 : Epoch  7, Batch     20, Loss  0.890237, Average Loss  0.868508, Time  0.359936
2021-09-11 20:12:02.708710 : Epoch  7, Batch     21, Loss  0.863017, Average Loss  0.868349, Time  0.383028
2021-09-11 20:12:10.913738 : Epoch  7, Batch     22, Loss  0.881860, Average Loss  0.868466, Time  0.404873
2021-09-11 20:12:15.038893 : Epoch  7, Batch     23, Loss  0.873810, Average Loss  0.868485, Time  0.343415
2021-09-11 20:12:22.699968 : Epoch  7, Batch     24, Loss  0.860402, Average Loss  0.868341, Time  0.301800
2021-09-11 20:12:28.796664 : Epoch  7, Batch     25, Loss  0.877217, Average Loss  0.868359, Time  0.318495
2021-09-11 20:12:32.253418 : Epoch  7, Batch     26, Loss  0.870837, Average Loss  0.868465, Time  0.288061
2021-09-11 20:12:41.775846 : Epoch  7, Batch     27, Loss  0.878164, Average Loss  0.868424, Time  0.421600
2021-09-11 20:12:46.748924 : Epoch  7, Batch     28, Loss  0.846887, Average Loss  0.868320, Time  0.312809
2021-09-11 20:12:52.673760 : Epoch  7, Batch     29, Loss  0.857763, Average Loss  0.868250, Time  0.389724
2021-09-11 20:12:55.957717 : CheckPoint: Validation Loss  0.00059025, Best Loss  0.00057266
2021-09-11 20:12:57.590808 : Epoch  7, Batch    535, Loss  0.867103, Average Loss  0.868111, Time  0.179504
2021-09-11 20:12:58.944763 : Epoch  7, Batch     30, Loss  0.869816, Average Loss  0.868309, Time  0.401166
2021-09-11 20:12:59.198777 : Epoch  7, Batch    536, Loss  0.863272, Average Loss  0.868063, Time  0.170431
2021-09-11 20:13:00.802872 : Epoch  7, Batch    537, Loss  0.852493, Average Loss  0.867893, Time  0.172755
2021-09-11 20:13:02.429050 : Epoch  7, Batch    538, Loss  0.868585, Average Loss  0.867832, Time  0.170494
2021-09-11 20:13:03.838780 : Epoch  7, Batch     31, Loss  0.848984, Average Loss  0.868261, Time  0.240472
2021-09-11 20:13:04.041815 : Epoch  7, Batch    539, Loss  0.874695, Average Loss  0.867855, Time  0.170945
2021-09-11 20:13:05.655035 : Epoch  7, Batch    540, Loss  0.873413, Average Loss  0.867882, Time  0.173898
2021-09-11 20:13:07.271750 : Epoch  7, Batch    541, Loss  0.874007, Average Loss  0.867738, Time  0.180088
2021-09-11 20:13:08.890026 : Epoch  7, Batch    542, Loss  0.892564, Average Loss  0.867849, Time  0.176070
2021-09-11 20:13:09.938273 : Epoch  7, Batch     32, Loss  0.878831, Average Loss  0.868379, Time  0.287132
2021-09-11 20:13:10.494860 : Epoch  7, Batch    543, Loss  0.884123, Average Loss  0.867861, Time  0.171155
2021-09-11 20:13:12.091019 : Epoch  7, Batch    544, Loss  0.888191, Average Loss  0.868013, Time  0.170598
2021-09-11 20:13:13.680034 : Epoch  7, Batch    545, Loss  0.861858, Average Loss  0.867983, Time  0.170659
2021-09-11 20:13:15.287031 : Epoch  7, Batch    546, Loss  0.867619, Average Loss  0.868061, Time  0.173021
2021-09-11 20:13:16.798301 : Epoch  7, Batch     33, Loss  0.896325, Average Loss  0.868541, Time  0.249812
2021-09-11 20:13:16.897031 : Epoch  7, Batch    547, Loss  0.857838, Average Loss  0.868092, Time  0.172054
2021-09-11 20:13:18.509822 : Epoch  7, Batch    548, Loss  0.866914, Average Loss  0.868232, Time  0.170347
2021-09-11 20:13:20.127921 : Epoch  7, Batch    549, Loss  0.902846, Average Loss  0.868371, Time  0.177913
2021-09-11 20:13:21.037058 : Epoch  7, Batch     34, Loss  0.853230, Average Loss  0.868506, Time  0.238246
2021-09-11 20:13:21.720769 : Epoch  7, Batch    550, Loss  0.885088, Average Loss  0.868453, Time  0.178437
2021-09-11 20:13:23.324750 : Epoch  7, Batch    551, Loss  0.849117, Average Loss  0.868436, Time  0.172284
2021-09-11 20:13:23.938006 : Epoch  7, Batch     35, Loss  0.852326, Average Loss  0.868440, Time  0.258786
2021-09-11 20:13:24.959877 : Epoch  7, Batch    552, Loss  0.848552, Average Loss  0.868382, Time  0.177009
2021-09-11 20:13:26.559033 : Epoch  7, Batch    553, Loss  0.888803, Average Loss  0.868620, Time  0.170426
2021-09-11 20:13:28.172815 : Epoch  7, Batch    554, Loss  0.868278, Average Loss  0.868561, Time  0.176855
2021-09-11 20:13:28.812579 : Epoch  7, Batch     36, Loss  0.874986, Average Loss  0.868496, Time  0.316056
2021-09-11 20:13:29.792029 : Epoch  7, Batch    555, Loss  0.862875, Average Loss  0.868479, Time  0.175896
2021-09-11 20:13:31.413033 : Epoch  7, Batch    556, Loss  0.872267, Average Loss  0.868680, Time  0.173840
2021-09-11 20:13:33.016760 : Epoch  7, Batch    557, Loss  0.881103, Average Loss  0.868726, Time  0.170213
2021-09-11 20:13:33.331805 : Epoch  7, Batch     37, Loss  0.869439, Average Loss  0.868468, Time  0.376282
2021-09-11 20:13:34.609785 : Epoch  7, Batch    558, Loss  0.847169, Average Loss  0.868499, Time  0.171343
2021-09-11 20:13:36.210031 : Epoch  7, Batch    559, Loss  0.871911, Average Loss  0.868481, Time  0.170810
2021-09-11 20:13:37.815756 : Epoch  7, Batch    560, Loss  0.865519, Average Loss  0.868413, Time  0.179905
2021-09-11 20:13:39.420867 : Epoch  7, Batch    561, Loss  0.868843, Average Loss  0.868327, Time  0.169792
2021-09-11 20:13:41.034869 : Epoch  7, Batch    562, Loss  0.872737, Average Loss  0.868314, Time  0.177661
2021-09-11 20:13:41.480086 : Epoch  7, Batch     38, Loss  0.853096, Average Loss  0.868447, Time  0.275101
2021-09-11 20:13:42.656034 : Epoch  7, Batch    563, Loss  0.874057, Average Loss  0.868336, Time  0.170132
2021-09-11 20:13:44.280760 : Epoch  7, Batch    564, Loss  0.857386, Average Loss  0.868203, Time  0.170255
2021-09-11 20:13:45.888948 : Epoch  7, Batch    565, Loss  0.862685, Average Loss  0.868288, Time  0.172267
2021-09-11 20:13:47.504030 : Epoch  7, Batch    566, Loss  0.901362, Average Loss  0.868542, Time  0.173190
2021-09-11 20:13:47.852710 : Epoch  7, Batch     39, Loss  0.862480, Average Loss  0.868431, Time  0.325828
2021-09-11 20:13:49.117034 : Epoch  7, Batch    567, Loss  0.853595, Average Loss  0.868669, Time  0.174316
2021-09-11 20:13:50.492876 : Epoch  7, Batch     40, Loss  0.855134, Average Loss  0.868434, Time  0.278430
2021-09-11 20:13:50.740033 : Epoch  7, Batch    568, Loss  0.864341, Average Loss  0.868589, Time  0.169824
2021-09-11 20:13:52.346837 : Epoch  7, Batch    569, Loss  0.868950, Average Loss  0.868678, Time  0.183343
2021-09-11 20:13:53.946747 : Epoch  7, Batch    570, Loss  0.875473, Average Loss  0.868760, Time  0.170551
2021-09-11 20:13:55.542749 : Epoch  7, Batch    571, Loss  0.816449, Average Loss  0.868565, Time  0.173966
2021-09-11 20:13:56.426331 : Epoch  7, Batch     41, Loss  0.860196, Average Loss  0.868597, Time  0.253708
2021-09-11 20:13:57.164025 : Epoch  7, Batch    572, Loss  0.876284, Average Loss  0.868559, Time  0.174532
2021-09-11 20:13:58.753029 : Epoch  7, Batch    573, Loss  0.863567, Average Loss  0.868463, Time  0.172545
2021-09-11 20:14:00.355041 : Epoch  7, Batch    574, Loss  0.849688, Average Loss  0.868234, Time  0.170105
2021-09-11 20:14:01.942761 : Epoch  7, Batch    575, Loss  0.855258, Average Loss  0.868234, Time  0.170065
2021-09-11 20:14:03.374559 : Epoch  7, Batch     42, Loss  0.903423, Average Loss  0.868699, Time  0.283717
2021-09-11 20:14:03.559899 : Epoch  7, Batch    576, Loss  0.844817, Average Loss  0.868043, Time  0.171222
2021-09-11 20:14:05.169797 : Epoch  7, Batch    577, Loss  0.852642, Average Loss  0.868034, Time  0.181110
2021-09-11 20:14:06.800895 : Epoch  7, Batch    578, Loss  0.904018, Average Loss  0.868202, Time  0.174594
2021-09-11 20:14:08.063105 : Epoch  7, Batch     43, Loss  0.863574, Average Loss  0.868648, Time  0.357572
2021-09-11 20:14:08.437753 : Epoch  7, Batch    579, Loss  0.896491, Average Loss  0.868333, Time  0.172652
2021-09-11 20:14:10.032816 : Epoch  7, Batch    580, Loss  0.904876, Average Loss  0.868560, Time  0.171235
2021-09-11 20:14:11.635748 : Epoch  7, Batch    581, Loss  0.880248, Average Loss  0.868845, Time  0.170181
2021-09-11 20:14:13.245762 : Epoch  7, Batch    582, Loss  0.869004, Average Loss  0.868799, Time  0.172713
2021-09-11 20:14:14.860888 : Epoch  7, Batch    583, Loss  0.899744, Average Loss  0.868968, Time  0.173617
2021-09-11 20:14:15.012839 : Epoch  7, Batch     44, Loss  0.889387, Average Loss  0.868701, Time  0.302181
2021-09-11 20:14:16.468020 : Epoch  7, Batch    584, Loss  0.866288, Average Loss  0.868871, Time  0.176491
2021-09-11 20:14:18.093040 : Epoch  7, Batch    585, Loss  0.887369, Average Loss  0.868965, Time  0.169869
2021-09-11 20:14:19.581789 : Epoch  7, Batch     45, Loss  0.863963, Average Loss  0.868737, Time  0.246484
2021-09-11 20:14:19.716760 : Epoch  7, Batch    586, Loss  0.856946, Average Loss  0.868826, Time  0.172873
2021-09-11 20:14:21.302724 : Epoch  7, Batch    587, Loss  0.870818, Average Loss  0.868998, Time  0.170297
2021-09-11 20:14:22.894850 : Epoch  7, Batch    588, Loss  0.864058, Average Loss  0.869101, Time  0.170380
2021-09-11 20:14:23.258725 : Epoch  7, Batch     46, Loss  0.886395, Average Loss  0.868795, Time  0.268606
2021-09-11 20:14:24.479703 : Epoch  7, Batch    589, Loss  0.848638, Average Loss  0.868871, Time  0.170008
2021-09-11 20:14:26.101019 : Epoch  7, Batch    590, Loss  0.893938, Average Loss  0.869159, Time  0.173297
2021-09-11 20:14:27.744919 : Epoch  7, Batch    591, Loss  0.855256, Average Loss  0.869099, Time  0.170921
2021-09-11 20:14:29.343758 : Epoch  7, Batch    592, Loss  0.873815, Average Loss  0.869104, Time  0.172140
2021-09-11 20:14:29.653311 : Epoch  7, Batch     47, Loss  0.849464, Average Loss  0.868728, Time  0.320060
2021-09-11 20:14:30.936837 : Epoch  7, Batch    593, Loss  0.870857, Average Loss  0.869085, Time  0.170440
2021-09-11 20:14:32.544032 : Epoch  7, Batch    594, Loss  0.892469, Average Loss  0.869232, Time  0.170127
2021-09-11 20:14:33.962045 : Epoch  7, Batch     48, Loss  0.873973, Average Loss  0.868645, Time  0.360651
2021-09-11 20:14:34.173725 : Epoch  7, Batch    595, Loss  0.889468, Average Loss  0.869412, Time  0.170849
2021-09-11 20:14:35.756923 : Epoch  7, Batch    596, Loss  0.876208, Average Loss  0.869496, Time  0.173669
2021-09-11 20:14:37.362026 : Epoch  7, Batch    597, Loss  0.858176, Average Loss  0.869379, Time  0.170386
2021-09-11 20:14:38.408729 : Epoch  7, Batch     49, Loss  0.870994, Average Loss  0.868593, Time  0.279316
2021-09-11 20:14:38.980778 : Epoch  7, Batch    598, Loss  0.862355, Average Loss  0.869167, Time  0.169859
2021-09-11 20:14:40.595798 : Epoch  7, Batch    599, Loss  0.855374, Average Loss  0.869069, Time  0.182040
2021-09-11 20:14:42.178855 : Epoch  7, Batch    600, Loss  0.873996, Average Loss  0.869150, Time  0.170347
2021-09-11 20:14:43.780798 : Epoch  7, Batch    601, Loss  0.873457, Average Loss  0.869090, Time  0.177330
2021-09-11 20:14:44.531845 : Epoch  7, Batch     50, Loss  0.865287, Average Loss  0.868484, Time  0.291702
2021-09-11 20:14:45.382779 : Epoch  7, Batch    602, Loss  0.876911, Average Loss  0.869123, Time  0.170142
2021-09-11 20:14:46.991747 : Epoch  7, Batch    603, Loss  0.892322, Average Loss  0.869238, Time  0.172651
2021-09-11 20:14:48.603042 : Epoch  7, Batch    604, Loss  0.865172, Average Loss  0.869338, Time  0.170249
2021-09-11 20:14:49.233741 : Epoch  7, Batch     51, Loss  0.870239, Average Loss  0.868507, Time  0.285681
2021-09-11 20:14:50.217040 : Epoch  7, Batch    605, Loss  0.854746, Average Loss  0.869214, Time  0.173067
2021-09-11 20:14:51.905858 : Epoch  7, Batch    606, Loss  0.867569, Average Loss  0.869101, Time  0.174562
2021-09-11 20:14:53.570002 : Epoch  7, Batch    607, Loss  0.876337, Average Loss  0.869128, Time  0.169886
2021-09-11 20:14:55.194755 : Epoch  7, Batch    608, Loss  0.863117, Average Loss  0.869192, Time  0.169709
2021-09-11 20:14:56.805995 : Epoch  7, Batch    609, Loss  0.906322, Average Loss  0.869315, Time  0.169910
2021-09-11 20:14:56.956703 : Epoch  7, Batch     52, Loss  0.861768, Average Loss  0.868470, Time  0.309207
2021-09-11 20:14:58.454726 : Epoch  7, Batch    610, Loss  0.897861, Average Loss  0.869374, Time  0.169647
2021-09-11 20:15:00.080747 : Epoch  7, Batch    611, Loss  0.864553, Average Loss  0.869404, Time  0.169672
2021-09-11 20:15:01.712745 : Epoch  7, Batch    612, Loss  0.900343, Average Loss  0.869738, Time  0.170114
2021-09-11 20:15:02.706806 : Epoch  7, Batch     53, Loss  0.866720, Average Loss  0.868474, Time  0.305133
2021-09-11 20:15:03.336816 : Epoch  7, Batch    613, Loss  0.881207, Average Loss  0.869871, Time  0.169649
2021-09-11 20:15:04.955994 : Epoch  7, Batch    614, Loss  0.855721, Average Loss  0.869786, Time  0.169847
2021-09-11 20:15:05.505792 : Epoch  7, Batch     54, Loss  0.871884, Average Loss  0.868476, Time  0.260583
2021-09-11 20:15:06.562995 : Epoch  7, Batch    615, Loss  0.874046, Average Loss  0.869769, Time  0.169658
2021-09-11 20:15:08.181985 : Epoch  7, Batch    616, Loss  0.861006, Average Loss  0.869928, Time  0.169769
2021-09-11 20:15:09.804739 : Epoch  7, Batch    617, Loss  0.854456, Average Loss  0.869905, Time  0.169323
2021-09-11 20:15:11.415032 : Epoch  7, Batch    618, Loss  0.863741, Average Loss  0.869963, Time  0.170281
2021-09-11 20:15:11.443936 : Epoch  7, Batch     55, Loss  0.854264, Average Loss  0.868333, Time  0.237567
2021-09-11 20:15:13.036005 : Epoch  7, Batch    619, Loss  0.871393, Average Loss  0.870113, Time  0.169939
2021-09-11 20:15:14.640979 : Epoch  7, Batch    620, Loss  0.872800, Average Loss  0.870064, Time  0.170030
2021-09-11 20:15:15.523104 : Epoch  7, Batch     56, Loss  0.879940, Average Loss  0.868373, Time  0.286871
2021-09-11 20:15:16.244995 : Epoch  7, Batch    621, Loss  0.865791, Average Loss  0.870037, Time  0.169847
2021-09-11 20:15:17.857780 : Epoch  7, Batch    622, Loss  0.849046, Average Loss  0.869892, Time  0.170024
2021-09-11 20:15:19.487986 : Epoch  7, Batch    623, Loss  0.855799, Average Loss  0.869882, Time  0.169842
2021-09-11 20:15:21.098786 : Epoch  7, Batch    624, Loss  0.865827, Average Loss  0.869867, Time  0.169907
2021-09-11 20:15:22.726980 : Epoch  7, Batch    625, Loss  0.878182, Average Loss  0.869995, Time  0.169789
2021-09-11 20:15:23.499143 : Epoch  7, Batch     57, Loss  0.878490, Average Loss  0.868505, Time  0.401334
2021-09-11 20:15:24.338801 : Epoch  7, Batch    626, Loss  0.862916, Average Loss  0.869919, Time  0.170265
2021-09-11 20:15:25.944750 : Epoch  7, Batch    627, Loss  0.882324, Average Loss  0.869934, Time  0.169725
2021-09-11 20:15:27.558846 : Epoch  7, Batch    628, Loss  0.863344, Average Loss  0.869988, Time  0.169636
2021-09-11 20:15:29.176006 : Epoch  7, Batch    629, Loss  0.857375, Average Loss  0.869873, Time  0.170110
2021-09-11 20:15:29.239795 : Epoch  7, Batch     58, Loss  0.860923, Average Loss  0.868411, Time  0.269567
2021-09-11 20:15:30.781745 : Epoch  7, Batch    630, Loss  0.845845, Average Loss  0.869606, Time  0.169799
2021-09-11 20:15:32.385766 : Epoch  7, Batch    631, Loss  0.899660, Average Loss  0.869670, Time  0.169740
2021-09-11 20:15:33.991989 : Epoch  7, Batch    632, Loss  0.892752, Average Loss  0.869642, Time  0.169873
2021-09-11 20:15:35.601996 : Epoch  7, Batch    633, Loss  0.852270, Average Loss  0.869496, Time  0.169917
2021-09-11 20:15:37.252009 : Epoch  7, Batch    634, Loss  0.927964, Average Loss  0.869841, Time  0.169628
2021-09-11 20:15:37.682347 : Epoch  7, Batch     59, Loss  0.876946, Average Loss  0.868628, Time  0.239977
2021-09-11 20:15:43.671697 : Epoch  7, Batch     60, Loss  0.863086, Average Loss  0.868538, Time  0.285816
2021-09-11 20:15:49.738989 : Epoch  7, Batch     61, Loss  0.873280, Average Loss  0.868613, Time  0.269091
2021-09-11 20:15:55.627245 : Epoch  7, Batch     62, Loss  0.869383, Average Loss  0.868698, Time  0.299091
2021-09-11 20:16:01.297728 : Epoch  7, Batch     63, Loss  0.869329, Average Loss  0.868702, Time  0.316066
2021-09-11 20:16:07.817357 : Epoch  7, Batch     64, Loss  0.910815, Average Loss  0.868874, Time  0.260188
2021-09-11 20:20:17.487712 : CheckPoint: Validation Loss  0.00060418, Best Loss  0.00057266
2021-09-11 20:20:19.080117 : Epoch  7, Batch    635, Loss  0.843870, Average Loss  0.869736, Time  0.178701
2021-09-11 20:20:20.691763 : Epoch  7, Batch    636, Loss  0.879235, Average Loss  0.869758, Time  0.172376
2021-09-11 20:20:22.312779 : Epoch  7, Batch    637, Loss  0.864092, Average Loss  0.869821, Time  0.179157
2021-09-11 20:20:23.926015 : Epoch  7, Batch    638, Loss  0.895299, Average Loss  0.869907, Time  0.189610
2021-09-11 20:20:25.524744 : Epoch  7, Batch    639, Loss  0.837972, Average Loss  0.869749, Time  0.169711
2021-09-11 20:20:27.148001 : Epoch  7, Batch    640, Loss  0.848018, Average Loss  0.869501, Time  0.169727
2021-09-11 20:20:28.739762 : Epoch  7, Batch    641, Loss  0.860657, Average Loss  0.869610, Time  0.169589
2021-09-11 20:20:30.353999 : Epoch  7, Batch    642, Loss  0.863917, Average Loss  0.869428, Time  0.172062
2021-09-11 20:20:31.944754 : Epoch  7, Batch    643, Loss  0.853768, Average Loss  0.869450, Time  0.169828
2021-09-11 20:20:33.540999 : Epoch  7, Batch    644, Loss  0.864550, Average Loss  0.869285, Time  0.169492
2021-09-11 20:20:35.144799 : Epoch  7, Batch    645, Loss  0.862694, Average Loss  0.869055, Time  0.171977
2021-09-11 20:20:36.755993 : Epoch  7, Batch    646, Loss  0.877102, Average Loss  0.869140, Time  0.169867
2021-09-11 20:20:38.362778 : Epoch  7, Batch    647, Loss  0.865175, Average Loss  0.869172, Time  0.169679
2021-09-11 20:20:39.967003 : Epoch  7, Batch    648, Loss  0.866420, Average Loss  0.869118, Time  0.169583
2021-09-11 20:20:41.578754 : Epoch  7, Batch    649, Loss  0.861949, Average Loss  0.869061, Time  0.169902
2021-09-11 20:20:43.185021 : Epoch  7, Batch    650, Loss  0.855142, Average Loss  0.869008, Time  0.169771
2021-09-11 20:20:44.802020 : Epoch  7, Batch    651, Loss  0.881436, Average Loss  0.869167, Time  0.170027
2021-09-11 20:20:46.408900 : Epoch  7, Batch    652, Loss  0.825496, Average Loss  0.868996, Time  0.170028
2021-09-11 20:20:48.014067 : Epoch  7, Batch    653, Loss  0.912366, Average Loss  0.869210, Time  0.170175
2021-09-11 20:20:49.633024 : Epoch  7, Batch    654, Loss  0.865104, Average Loss  0.869217, Time  0.170256
2021-09-11 20:20:51.253894 : Epoch  7, Batch    655, Loss  0.831075, Average Loss  0.869040, Time  0.169865
2021-09-11 20:20:52.861789 : Epoch  7, Batch    656, Loss  0.898917, Average Loss  0.869244, Time  0.170509
2021-09-11 20:20:54.469790 : Epoch  7, Batch    657, Loss  0.857940, Average Loss  0.869141, Time  0.170094
2021-09-11 20:20:56.073774 : Epoch  7, Batch    658, Loss  0.860077, Average Loss  0.868952, Time  0.170096
2021-09-11 20:20:57.673749 : Epoch  7, Batch    659, Loss  0.857304, Average Loss  0.868956, Time  0.170137
2021-09-11 20:20:59.261182 : Epoch  7, Batch    660, Loss  0.867991, Average Loss  0.868889, Time  0.170020
2021-09-11 20:21:00.873748 : Epoch  7, Batch    661, Loss  0.873970, Average Loss  0.868825, Time  0.170159
2021-09-11 20:21:02.480794 : Epoch  7, Batch    662, Loss  0.886786, Average Loss  0.868891, Time  0.170159
2021-09-11 20:21:04.103991 : Epoch  7, Batch    663, Loss  0.870241, Average Loss  0.868950, Time  0.170353
2021-09-11 20:21:05.714024 : Epoch  7, Batch    664, Loss  0.863053, Average Loss  0.868844, Time  0.169878
2021-09-11 20:21:07.311779 : Epoch  7, Batch    665, Loss  0.905135, Average Loss  0.868993, Time  0.170148
2021-09-11 20:21:08.917876 : Epoch  7, Batch    666, Loss  0.874792, Average Loss  0.869046, Time  0.170047
2021-09-11 20:21:10.531837 : Epoch  7, Batch    667, Loss  0.851671, Average Loss  0.869021, Time  0.170013
2021-09-11 20:21:12.145034 : Epoch  7, Batch    668, Loss  0.874468, Average Loss  0.869158, Time  0.169891
2021-09-11 20:21:13.747776 : Epoch  7, Batch    669, Loss  0.883309, Average Loss  0.869224, Time  0.170193
2021-09-11 20:21:15.355005 : Epoch  7, Batch    670, Loss  0.846789, Average Loss  0.869290, Time  0.170166
2021-09-11 20:21:16.963034 : Epoch  7, Batch    671, Loss  0.873724, Average Loss  0.869309, Time  0.169864
2021-09-11 20:21:18.597420 : Epoch  7, Batch    672, Loss  0.872013, Average Loss  0.869207, Time  0.170024
2021-09-11 20:21:20.205817 : Epoch  7, Batch    673, Loss  0.892726, Average Loss  0.869379, Time  0.173015
2021-09-11 20:21:21.817009 : Epoch  7, Batch    674, Loss  0.883072, Average Loss  0.869449, Time  0.170445
2021-09-11 20:21:23.435771 : Epoch  7, Batch    675, Loss  0.874379, Average Loss  0.869529, Time  0.170218
2021-09-11 20:21:25.036764 : Epoch  7, Batch    676, Loss  0.858097, Average Loss  0.869602, Time  0.170218
2021-09-11 20:21:26.640746 : Epoch  7, Batch    677, Loss  0.843901, Average Loss  0.869417, Time  0.170308
2021-09-11 20:21:28.251893 : Epoch  7, Batch    678, Loss  0.872161, Average Loss  0.869312, Time  0.172819
2021-09-11 20:21:29.869836 : Epoch  7, Batch    679, Loss  0.875376, Average Loss  0.869312, Time  0.170270
2021-09-11 20:21:31.476793 : Epoch  7, Batch    680, Loss  0.862443, Average Loss  0.869374, Time  0.172798
2021-09-11 20:21:33.092022 : Epoch  7, Batch    681, Loss  0.856192, Average Loss  0.869116, Time  0.172758
2021-09-11 20:21:34.696064 : Epoch  7, Batch    682, Loss  0.893887, Average Loss  0.869337, Time  0.170049
2021-09-11 20:21:36.292790 : Epoch  7, Batch    683, Loss  0.883232, Average Loss  0.869413, Time  0.169945
2021-09-11 20:21:37.891009 : Epoch  7, Batch    684, Loss  0.856171, Average Loss  0.869337, Time  0.169883
2021-09-11 20:21:39.479014 : Epoch  7, Batch    685, Loss  0.865834, Average Loss  0.869295, Time  0.170015
2021-09-11 20:21:41.073035 : Epoch  7, Batch    686, Loss  0.863949, Average Loss  0.869254, Time  0.169962
2021-09-11 20:21:42.688988 : Epoch  7, Batch    687, Loss  0.868110, Average Loss  0.869162, Time  0.169810
2021-09-11 20:21:44.293018 : Epoch  7, Batch    688, Loss  0.853397, Average Loss  0.869023, Time  0.169900
2021-09-11 20:21:45.911989 : Epoch  7, Batch    689, Loss  0.867359, Average Loss  0.869117, Time  0.170158
2021-09-11 20:21:47.521751 : Epoch  7, Batch    690, Loss  0.874217, Average Loss  0.869151, Time  0.170685
2021-09-11 20:21:49.128829 : Epoch  7, Batch    691, Loss  0.885103, Average Loss  0.869138, Time  0.175972
2021-09-11 20:21:50.722036 : Epoch  7, Batch    692, Loss  0.849685, Average Loss  0.869174, Time  0.174702
2021-09-11 20:21:52.349890 : Epoch  7, Batch    693, Loss  0.858496, Average Loss  0.869122, Time  0.170228
2021-09-11 20:21:53.950804 : Epoch  7, Batch    694, Loss  0.892876, Average Loss  0.869178, Time  0.170269
2021-09-11 20:21:55.575939 : Epoch  7, Batch    695, Loss  0.878189, Average Loss  0.869217, Time  0.170021
2021-09-11 20:21:57.169075 : Epoch  7, Batch    696, Loss  0.880285, Average Loss  0.869157, Time  0.170614
2021-09-11 20:21:58.796050 : Epoch  7, Batch    697, Loss  0.845647, Average Loss  0.869046, Time  0.170294
2021-09-11 20:22:00.410763 : Epoch  7, Batch    698, Loss  0.880864, Average Loss  0.869205, Time  0.170032
2021-09-11 20:22:02.005075 : Epoch  7, Batch    699, Loss  0.873091, Average Loss  0.869180, Time  0.169844
2021-09-11 20:22:03.613741 : Epoch  7, Batch    700, Loss  0.885672, Average Loss  0.869316, Time  0.170198
2021-09-11 20:22:05.219790 : Epoch  7, Batch    701, Loss  0.854152, Average Loss  0.869105, Time  0.170346
2021-09-11 20:22:06.836236 : Epoch  7, Batch    702, Loss  0.879924, Average Loss  0.869311, Time  0.171095
2021-09-11 20:22:08.440842 : Epoch  7, Batch    703, Loss  0.880551, Average Loss  0.869367, Time  0.169993
2021-09-11 20:22:10.038765 : Epoch  7, Batch    704, Loss  0.888365, Average Loss  0.869650, Time  0.170042
2021-09-11 20:22:11.655870 : Epoch  7, Batch    705, Loss  0.878884, Average Loss  0.869824, Time  0.172157
2021-09-11 20:22:13.279004 : Epoch  7, Batch    706, Loss  0.855042, Average Loss  0.869771, Time  0.169646
2021-09-11 20:22:14.890827 : Epoch  7, Batch    707, Loss  0.844601, Average Loss  0.869797, Time  0.169524
2021-09-11 20:22:16.497797 : Epoch  7, Batch    708, Loss  0.873650, Average Loss  0.869883, Time  0.170261
2021-09-11 20:22:18.137817 : Epoch  7, Batch    709, Loss  0.846623, Average Loss  0.869884, Time  0.169677
2021-09-11 20:22:19.792054 : Epoch  7, Batch    710, Loss  0.852249, Average Loss  0.869858, Time  0.170046
2021-09-11 20:22:21.401734 : Epoch  7, Batch    711, Loss  0.852396, Average Loss  0.869742, Time  0.169604
2021-09-11 20:22:23.006758 : Epoch  7, Batch    712, Loss  0.901510, Average Loss  0.869846, Time  0.172511
2021-09-11 20:22:24.617981 : Epoch  7, Batch    713, Loss  0.869655, Average Loss  0.869977, Time  0.169691
2021-09-11 20:22:26.229844 : Epoch  7, Batch    714, Loss  0.859596, Average Loss  0.870070, Time  0.169763
2021-09-11 20:22:27.826901 : Epoch  7, Batch    715, Loss  0.904241, Average Loss  0.870281, Time  0.169697
2021-09-11 20:22:29.446757 : Epoch  7, Batch    716, Loss  0.880135, Average Loss  0.870248, Time  0.169700
2021-09-11 20:22:31.069997 : Epoch  7, Batch    717, Loss  0.884997, Average Loss  0.870334, Time  0.169980
2021-09-11 20:22:32.682003 : Epoch  7, Batch    718, Loss  0.856284, Average Loss  0.869940, Time  0.169527
2021-09-11 20:22:34.308745 : Epoch  7, Batch    719, Loss  0.868969, Average Loss  0.870066, Time  0.170064
2021-09-11 20:22:35.883032 : Epoch  7, Batch    720, Loss  0.853412, Average Loss  0.869908, Time  0.169795
2021-09-11 20:22:37.485839 : Epoch  7, Batch    721, Loss  0.875106, Average Loss  0.870030, Time  0.171758
2021-09-11 20:22:39.114759 : Epoch  7, Batch    722, Loss  0.865249, Average Loss  0.870073, Time  0.176304
2021-09-11 20:22:40.712035 : Epoch  7, Batch    723, Loss  0.835233, Average Loss  0.869881, Time  0.174918
2021-09-11 20:22:42.294029 : Epoch  7, Batch    724, Loss  0.855615, Average Loss  0.869658, Time  0.169762
2021-09-11 20:22:43.889789 : Epoch  7, Batch    725, Loss  0.838451, Average Loss  0.869510, Time  0.171151
2021-09-11 20:22:45.486801 : Epoch  7, Batch    726, Loss  0.878394, Average Loss  0.869524, Time  0.172452
2021-09-11 20:22:47.100762 : Epoch  7, Batch    727, Loss  0.850371, Average Loss  0.869541, Time  0.170183
2021-09-11 20:22:48.724795 : Epoch  7, Batch    728, Loss  0.880281, Average Loss  0.869556, Time  0.169835
2021-09-11 20:22:50.338934 : Epoch  7, Batch    729, Loss  0.902556, Average Loss  0.869772, Time  0.172101
2021-09-11 20:22:51.956026 : Epoch  7, Batch    730, Loss  0.879492, Average Loss  0.869713, Time  0.170457
2021-09-11 20:22:53.571794 : Epoch  7, Batch    731, Loss  0.871319, Average Loss  0.869656, Time  0.173790
2021-09-11 20:22:55.189041 : Epoch  7, Batch    732, Loss  0.868724, Average Loss  0.869724, Time  0.170873
2021-09-11 20:22:56.796738 : Epoch  7, Batch    733, Loss  0.828761, Average Loss  0.869534, Time  0.169888
2021-09-11 20:23:03.889033 : Epoch  7, Batch    734, Loss  0.881693, Average Loss  0.869607, Time  0.188545
2021-09-11 20:25:01.916951 : CheckPoint: Validation Loss  0.00029828, Best Loss  0.00029019
2021-09-11 20:25:08.158311 : Epoch  7, Batch     65, Loss  0.862579, Average Loss  0.868777, Time  0.401122
2021-09-11 20:25:14.790468 : Epoch  7, Batch     66, Loss  0.861182, Average Loss  0.868698, Time  0.439568
2021-09-11 20:25:19.818538 : Epoch  7, Batch     67, Loss  0.865427, Average Loss  0.868699, Time  0.303870
2021-09-11 20:25:26.037022 : Epoch  7, Batch     68, Loss  0.865811, Average Loss  0.868783, Time  0.264586
2021-09-11 20:25:29.725969 : Epoch  7, Batch     69, Loss  0.862443, Average Loss  0.868774, Time  0.238150
2021-09-11 20:25:33.952021 : Epoch  7, Batch     70, Loss  0.863680, Average Loss  0.868727, Time  0.264732
2021-09-11 20:25:38.414905 : Epoch  7, Batch     71, Loss  0.870897, Average Loss  0.868750, Time  0.358171
2021-09-11 20:25:43.269715 : Epoch  7, Batch     72, Loss  0.891223, Average Loss  0.868860, Time  0.264358
2021-09-11 20:25:48.276798 : Epoch  7, Batch     73, Loss  0.854589, Average Loss  0.868801, Time  0.394497
2021-09-11 20:25:56.515165 : Epoch  7, Batch     74, Loss  0.876278, Average Loss  0.868846, Time  0.500497
2021-09-11 20:26:01.339689 : Epoch  7, Batch     75, Loss  0.867028, Average Loss  0.868890, Time  0.309097
2021-09-11 20:26:06.666869 : Epoch  7, Batch     76, Loss  0.862727, Average Loss  0.868955, Time  0.260721
2021-09-11 20:26:11.487873 : Epoch  7, Batch     77, Loss  0.879045, Average Loss  0.868940, Time  0.320648
2021-09-11 20:26:17.895433 : Epoch  7, Batch     78, Loss  0.871320, Average Loss  0.868915, Time  0.310468
2021-09-11 20:26:21.970740 : Epoch  7, Batch     79, Loss  0.855848, Average Loss  0.868863, Time  0.351517
2021-09-11 20:26:26.074217 : Epoch  7, Batch     80, Loss  0.872411, Average Loss  0.868872, Time  0.241679
2021-09-11 20:26:31.007762 : Epoch  7, Batch     81, Loss  0.874573, Average Loss  0.868968, Time  0.306438
2021-09-11 20:26:37.117309 : Epoch  7, Batch     82, Loss  0.886451, Average Loss  0.869065, Time  0.289544
2021-09-11 20:26:45.120842 : Epoch  7, Batch     83, Loss  0.879719, Average Loss  0.869126, Time  0.362812
2021-09-11 20:26:51.550763 : Epoch  7, Batch     84, Loss  0.888834, Average Loss  0.869149, Time  0.344033
2021-09-11 20:27:00.775221 : Epoch  7, Batch     85, Loss  0.858702, Average Loss  0.869053, Time  0.489652
2021-09-11 20:27:06.097141 : Epoch  7, Batch     86, Loss  0.870383, Average Loss  0.868962, Time  0.238997
2021-09-11 20:27:10.308886 : Epoch  7, Batch     87, Loss  0.843845, Average Loss  0.868892, Time  0.296723
2021-09-11 20:27:18.383085 : Epoch  7, Batch     88, Loss  0.861587, Average Loss  0.868886, Time  0.355069
2021-09-11 20:27:23.984288 : Epoch  7, Batch     89, Loss  0.862300, Average Loss  0.868824, Time  0.248632
2021-09-11 20:27:26.821761 : Epoch  7, Batch     90, Loss  0.884458, Average Loss  0.868860, Time  0.248974
2021-09-11 20:27:30.327450 : Epoch  7, Batch     91, Loss  0.852022, Average Loss  0.868714, Time  0.321892
2021-09-11 20:27:37.847031 : Epoch  7, Batch     92, Loss  0.852888, Average Loss  0.868660, Time  0.357755
2021-09-11 20:27:43.986128 : Epoch  7, Batch     93, Loss  0.870925, Average Loss  0.868772, Time  0.256276
2021-09-11 20:27:45.526024 : CheckPoint: Validation Loss  0.00060723, Best Loss  0.00057266
2021-09-11 20:27:47.138002 : Epoch  7, Batch    735, Loss  0.903544, Average Loss  0.869789, Time  0.180946
2021-09-11 20:27:48.745839 : Epoch  7, Batch    736, Loss  0.851928, Average Loss  0.869732, Time  0.171591
2021-09-11 20:27:48.867826 : Epoch  7, Batch     94, Loss  0.874459, Average Loss  0.868780, Time  0.284943
2021-09-11 20:27:50.352033 : Epoch  7, Batch    737, Loss  0.877808, Average Loss  0.869859, Time  0.175460
2021-09-11 20:27:51.977756 : Epoch  7, Batch    738, Loss  0.852742, Average Loss  0.869780, Time  0.170307
2021-09-11 20:27:52.375213 : Epoch  7, Batch     95, Loss  0.871555, Average Loss  0.868768, Time  0.240324
2021-09-11 20:27:53.584770 : Epoch  7, Batch    739, Loss  0.854521, Average Loss  0.869679, Time  0.170124
2021-09-11 20:27:55.212049 : Epoch  7, Batch    740, Loss  0.874974, Average Loss  0.869686, Time  0.176271
2021-09-11 20:27:56.808774 : Epoch  7, Batch    741, Loss  0.873426, Average Loss  0.869684, Time  0.170970
2021-09-11 20:27:57.803839 : Epoch  7, Batch     96, Loss  0.870683, Average Loss  0.868819, Time  0.306573
2021-09-11 20:27:58.412821 : Epoch  7, Batch    742, Loss  0.846643, Average Loss  0.869454, Time  0.170329
2021-09-11 20:28:00.012046 : Epoch  7, Batch    743, Loss  0.874562, Average Loss  0.869406, Time  0.170482
2021-09-11 20:28:01.640040 : Epoch  7, Batch    744, Loss  0.864492, Average Loss  0.869288, Time  0.184059
2021-09-11 20:28:03.256748 : Epoch  7, Batch    745, Loss  0.895891, Average Loss  0.869458, Time  0.172672
2021-09-11 20:28:03.780917 : Epoch  7, Batch     97, Loss  0.892658, Average Loss  0.868936, Time  0.383784
2021-09-11 20:28:04.871049 : Epoch  7, Batch    746, Loss  0.847495, Average Loss  0.869357, Time  0.180879
2021-09-11 20:28:06.470061 : Epoch  7, Batch    747, Loss  0.873070, Average Loss  0.869433, Time  0.172004
2021-09-11 20:28:08.066838 : Epoch  7, Batch    748, Loss  0.877995, Average Loss  0.869489, Time  0.173568
2021-09-11 20:28:09.697749 : Epoch  7, Batch    749, Loss  0.866605, Average Loss  0.869308, Time  0.172494
2021-09-11 20:28:09.941025 : Epoch  7, Batch     98, Loss  0.863925, Average Loss  0.868892, Time  0.269415
2021-09-11 20:28:11.305061 : Epoch  7, Batch    750, Loss  0.871926, Average Loss  0.869242, Time  0.170097
2021-09-11 20:28:12.917055 : Epoch  7, Batch    751, Loss  0.858561, Average Loss  0.869289, Time  0.170065
2021-09-11 20:28:14.537919 : Epoch  7, Batch    752, Loss  0.883207, Average Loss  0.869462, Time  0.170363
2021-09-11 20:28:15.688999 : Epoch  7, Batch     99, Loss  0.861742, Average Loss  0.868897, Time  0.274990
2021-09-11 20:28:16.168802 : Epoch  7, Batch    753, Loss  0.882820, Average Loss  0.869432, Time  0.184715
2021-09-11 20:28:17.770834 : Epoch  7, Batch    754, Loss  0.874977, Average Loss  0.869466, Time  0.170120
2021-09-11 20:28:19.377031 : Epoch  7, Batch    755, Loss  0.864101, Average Loss  0.869472, Time  0.178161
2021-09-11 20:28:20.999889 : Epoch  7, Batch    756, Loss  0.900050, Average Loss  0.869611, Time  0.175128
2021-09-11 20:28:21.736818 : Epoch  7, Batch    100, Loss  0.849293, Average Loss  0.868766, Time  0.394600
2021-09-11 20:28:22.637133 : Epoch  7, Batch    757, Loss  0.885368, Average Loss  0.869632, Time  0.179663
2021-09-11 20:28:24.273995 : Epoch  7, Batch    758, Loss  0.871316, Average Loss  0.869753, Time  0.171191
2021-09-11 20:28:25.898774 : Epoch  7, Batch    759, Loss  0.859594, Average Loss  0.869691, Time  0.172596
2021-09-11 20:28:27.474829 : Epoch  7, Batch    101, Loss  0.860204, Average Loss  0.868721, Time  0.277700
2021-09-11 20:28:27.513849 : Epoch  7, Batch    760, Loss  0.889360, Average Loss  0.869811, Time  0.175054
2021-09-11 20:28:29.135838 : Epoch  7, Batch    761, Loss  0.855024, Average Loss  0.869741, Time  0.171170
2021-09-11 20:28:30.753745 : Epoch  7, Batch    762, Loss  0.931525, Average Loss  0.870035, Time  0.175704
2021-09-11 20:28:32.352776 : Epoch  7, Batch    763, Loss  0.880355, Average Loss  0.870067, Time  0.170509
2021-09-11 20:28:33.945025 : Epoch  7, Batch    102, Loss  0.877680, Average Loss  0.868757, Time  0.444726
2021-09-11 20:28:33.967824 : Epoch  7, Batch    764, Loss  0.859494, Average Loss  0.870077, Time  0.174418
2021-09-11 20:28:35.615823 : Epoch  7, Batch    765, Loss  0.859767, Average Loss  0.870063, Time  0.191344
2021-09-11 20:28:37.214044 : Epoch  7, Batch    766, Loss  0.885046, Average Loss  0.869981, Time  0.170135
2021-09-11 20:28:38.836041 : Epoch  7, Batch    767, Loss  0.876542, Average Loss  0.870096, Time  0.177840
2021-09-11 20:28:39.988814 : Epoch  7, Batch    103, Loss  0.854318, Average Loss  0.868710, Time  0.300723
2021-09-11 20:28:40.452276 : Epoch  7, Batch    768, Loss  0.888018, Average Loss  0.870214, Time  0.179718
2021-09-11 20:28:42.032797 : Epoch  7, Batch    769, Loss  0.862672, Average Loss  0.870183, Time  0.170587
2021-09-11 20:28:43.645834 : Epoch  7, Batch    770, Loss  0.881908, Average Loss  0.870215, Time  0.169751
2021-09-11 20:28:44.084182 : Epoch  7, Batch    104, Loss  0.879756, Average Loss  0.868715, Time  0.497167
2021-09-11 20:28:45.262876 : Epoch  7, Batch    771, Loss  0.873577, Average Loss  0.870501, Time  0.169735
2021-09-11 20:28:46.901338 : Epoch  7, Batch    772, Loss  0.795572, Average Loss  0.870097, Time  0.169717
2021-09-11 20:28:48.322837 : Epoch  7, Batch    105, Loss  0.861193, Average Loss  0.868673, Time  0.318880
2021-09-11 20:28:48.528921 : Epoch  7, Batch    773, Loss  0.876948, Average Loss  0.870164, Time  0.170419
2021-09-11 20:28:50.134746 : Epoch  7, Batch    774, Loss  0.877654, Average Loss  0.870304, Time  0.172137
2021-09-11 20:28:51.753763 : Epoch  7, Batch    775, Loss  0.902301, Average Loss  0.870539, Time  0.170177
2021-09-11 20:28:53.368803 : Epoch  7, Batch    776, Loss  0.881638, Average Loss  0.870723, Time  0.169734
2021-09-11 20:28:54.063727 : Epoch  7, Batch    106, Loss  0.865131, Average Loss  0.868704, Time  0.374720
2021-09-11 20:28:54.979994 : Epoch  7, Batch    777, Loss  0.855561, Average Loss  0.870738, Time  0.169571
2021-09-11 20:28:56.591881 : Epoch  7, Batch    778, Loss  0.876372, Average Loss  0.870600, Time  0.169810
2021-09-11 20:28:56.866873 : Epoch  7, Batch    107, Loss  0.885354, Average Loss  0.868823, Time  0.318975
2021-09-11 20:28:58.216923 : Epoch  7, Batch    779, Loss  0.891345, Average Loss  0.870574, Time  0.169404
2021-09-11 20:28:59.831801 : Epoch  7, Batch    780, Loss  0.868238, Average Loss  0.870391, Time  0.169686
2021-09-11 20:29:01.446996 : Epoch  7, Batch    781, Loss  0.891367, Average Loss  0.870446, Time  0.169607
2021-09-11 20:29:03.073850 : Epoch  7, Batch    782, Loss  0.846516, Average Loss  0.870334, Time  0.169488
2021-09-11 20:29:03.505744 : Epoch  7, Batch    108, Loss  0.872280, Average Loss  0.868942, Time  0.324686
2021-09-11 20:29:04.702995 : Epoch  7, Batch    783, Loss  0.876534, Average Loss  0.870218, Time  0.169449
2021-09-11 20:29:06.313755 : Epoch  7, Batch    784, Loss  0.848534, Average Loss  0.870129, Time  0.172188
2021-09-11 20:29:07.932997 : Epoch  7, Batch    785, Loss  0.893679, Average Loss  0.870161, Time  0.169561
2021-09-11 20:29:09.284849 : Epoch  7, Batch    109, Loss  0.863250, Average Loss  0.868941, Time  0.243715
2021-09-11 20:29:09.570751 : Epoch  7, Batch    786, Loss  0.863145, Average Loss  0.870192, Time  0.172340
2021-09-11 20:29:11.178902 : Epoch  7, Batch    787, Loss  0.866435, Average Loss  0.870170, Time  0.169775
2021-09-11 20:29:12.670721 : Epoch  7, Batch    110, Loss  0.855422, Average Loss  0.868870, Time  0.270687
2021-09-11 20:29:12.780988 : Epoch  7, Batch    788, Loss  0.883104, Average Loss  0.870265, Time  0.169687
2021-09-11 20:29:14.402991 : Epoch  7, Batch    789, Loss  0.874480, Average Loss  0.870394, Time  0.169696
2021-09-11 20:29:16.034996 : Epoch  7, Batch    790, Loss  0.878766, Average Loss  0.870318, Time  0.169731
2021-09-11 20:29:16.839735 : Epoch  7, Batch    111, Loss  0.884589, Average Loss  0.868954, Time  0.287839
2021-09-11 20:29:17.650012 : Epoch  7, Batch    791, Loss  0.879306, Average Loss  0.870439, Time  0.169739
2021-09-11 20:29:19.267828 : Epoch  7, Batch    792, Loss  0.863792, Average Loss  0.870388, Time  0.169971
2021-09-11 20:29:20.892000 : Epoch  7, Batch    793, Loss  0.885566, Average Loss  0.870462, Time  0.169670
2021-09-11 20:29:22.224435 : Epoch  7, Batch    112, Loss  0.854823, Average Loss  0.868874, Time  0.313809
2021-09-11 20:29:22.514789 : Epoch  7, Batch    794, Loss  0.852118, Average Loss  0.870260, Time  0.169660
2021-09-11 20:29:24.135823 : Epoch  7, Batch    795, Loss  0.846763, Average Loss  0.870047, Time  0.169868
2021-09-11 20:29:25.760802 : Epoch  7, Batch    796, Loss  0.918680, Average Loss  0.870259, Time  0.172359
2021-09-11 20:29:26.927695 : Epoch  7, Batch    113, Loss  0.885036, Average Loss  0.868961, Time  0.265582
2021-09-11 20:29:27.382030 : Epoch  7, Batch    797, Loss  0.858500, Average Loss  0.870261, Time  0.169817
2021-09-11 20:29:29.020054 : Epoch  7, Batch    798, Loss  0.868958, Average Loss  0.870294, Time  0.171470
2021-09-11 20:29:30.127122 : Epoch  7, Batch    114, Loss  0.869899, Average Loss  0.868947, Time  0.318909
2021-09-11 20:29:30.653744 : Epoch  7, Batch    799, Loss  0.872684, Average Loss  0.870380, Time  0.181613
2021-09-11 20:29:32.278774 : Epoch  7, Batch    800, Loss  0.875202, Average Loss  0.870386, Time  0.185007
2021-09-11 20:29:33.885747 : Epoch  7, Batch    801, Loss  0.857470, Average Loss  0.870306, Time  0.176084
2021-09-11 20:29:35.486043 : Epoch  7, Batch    802, Loss  0.872525, Average Loss  0.870284, Time  0.169793
2021-09-11 20:29:36.665734 : Epoch  7, Batch    115, Loss  0.880781, Average Loss  0.868846, Time  0.310363
2021-09-11 20:29:37.092948 : Epoch  7, Batch    803, Loss  0.887251, Average Loss  0.870259, Time  0.174281
2021-09-11 20:29:38.705857 : Epoch  7, Batch    804, Loss  0.836351, Average Loss  0.870115, Time  0.176216
2021-09-11 20:29:40.326740 : Epoch  7, Batch    805, Loss  0.866295, Average Loss  0.870173, Time  0.171232
2021-09-11 20:29:41.946778 : Epoch  7, Batch    806, Loss  0.872358, Average Loss  0.870197, Time  0.173926
2021-09-11 20:29:42.335832 : Epoch  7, Batch    116, Loss  0.885025, Average Loss  0.868914, Time  0.441398
2021-09-11 20:29:43.565747 : Epoch  7, Batch    807, Loss  0.884985, Average Loss  0.870240, Time  0.175655
2021-09-11 20:29:45.178069 : Epoch  7, Batch    808, Loss  0.881163, Average Loss  0.870330, Time  0.170156
2021-09-11 20:29:46.796807 : Epoch  7, Batch    809, Loss  0.884623, Average Loss  0.870222, Time  0.170035
2021-09-11 20:29:47.880385 : Epoch  7, Batch    117, Loss  0.857470, Average Loss  0.869002, Time  0.467516
2021-09-11 20:29:48.418830 : Epoch  7, Batch    810, Loss  0.859606, Average Loss  0.870030, Time  0.171201
2021-09-11 20:29:50.032781 : Epoch  7, Batch    811, Loss  0.845341, Average Loss  0.869934, Time  0.171672
2021-09-11 20:29:51.641791 : Epoch  7, Batch    812, Loss  0.846578, Average Loss  0.869665, Time  0.173007
2021-09-11 20:29:53.245035 : Epoch  7, Batch    813, Loss  0.905438, Average Loss  0.869787, Time  0.169909
2021-09-11 20:29:54.114995 : Epoch  7, Batch    118, Loss  0.874117, Average Loss  0.869015, Time  0.256838
2021-09-11 20:29:55.086377 : Epoch  7, Batch    814, Loss  0.872488, Average Loss  0.869870, Time  0.178535
2021-09-11 20:29:56.717749 : Epoch  7, Batch    815, Loss  0.875146, Average Loss  0.869876, Time  0.175209
2021-09-11 20:29:58.358760 : Epoch  7, Batch    816, Loss  0.896394, Average Loss  0.870053, Time  0.173467
2021-09-11 20:29:59.976837 : Epoch  7, Batch    817, Loss  0.874713, Average Loss  0.870154, Time  0.171006
2021-09-11 20:30:00.045110 : Epoch  7, Batch    119, Loss  0.863025, Average Loss  0.868970, Time  0.280155
2021-09-11 20:30:01.600016 : Epoch  7, Batch    818, Loss  0.841241, Average Loss  0.870042, Time  0.182944
2021-09-11 20:30:03.238028 : Epoch  7, Batch    819, Loss  0.884902, Average Loss  0.870109, Time  0.172094
2021-09-11 20:30:04.847046 : Epoch  7, Batch    820, Loss  0.846888, Average Loss  0.869980, Time  0.172478
2021-09-11 20:30:06.452766 : Epoch  7, Batch    821, Loss  0.877772, Average Loss  0.870040, Time  0.172513
2021-09-11 20:30:08.081840 : Epoch  7, Batch    822, Loss  0.875001, Average Loss  0.870169, Time  0.184008
2021-09-11 20:30:08.840267 : Epoch  7, Batch    120, Loss  0.859161, Average Loss  0.868899, Time  0.263202
2021-09-11 20:30:09.694043 : Epoch  7, Batch    823, Loss  0.865041, Average Loss  0.870216, Time  0.175573
2021-09-11 20:30:11.305025 : Epoch  7, Batch    824, Loss  0.836146, Average Loss  0.870067, Time  0.170596
2021-09-11 20:30:12.927748 : Epoch  7, Batch    825, Loss  0.887465, Average Loss  0.870114, Time  0.176462
2021-09-11 20:30:14.540759 : Epoch  7, Batch    826, Loss  0.860757, Average Loss  0.870103, Time  0.173936
2021-09-11 20:30:14.663046 : Epoch  7, Batch    121, Loss  0.865764, Average Loss  0.868896, Time  0.398644
2021-09-11 20:30:16.127897 : Epoch  7, Batch    827, Loss  0.863729, Average Loss  0.870010, Time  0.173442
2021-09-11 20:30:17.720104 : Epoch  7, Batch    828, Loss  0.861180, Average Loss  0.869999, Time  0.169867
2021-09-11 20:30:19.303747 : Epoch  7, Batch    829, Loss  0.896936, Average Loss  0.870197, Time  0.170779
2021-09-11 20:30:20.777787 : Epoch  7, Batch    122, Loss  0.870861, Average Loss  0.868857, Time  0.305403
2021-09-11 20:30:20.909031 : Epoch  7, Batch    830, Loss  0.858898, Average Loss  0.870262, Time  0.170775
2021-09-11 20:30:22.497878 : Epoch  7, Batch    831, Loss  0.856607, Average Loss  0.870047, Time  0.171083
2021-09-11 20:30:24.107768 : Epoch  7, Batch    832, Loss  0.877347, Average Loss  0.869970, Time  0.173569
2021-09-11 20:30:25.535586 : Epoch  7, Batch    123, Loss  0.870241, Average Loss  0.868895, Time  0.272571
2021-09-11 20:30:25.715779 : Epoch  7, Batch    833, Loss  0.849846, Average Loss  0.869958, Time  0.174894
2021-09-11 20:30:27.315772 : Epoch  7, Batch    834, Loss  0.902576, Average Loss  0.869831, Time  0.170894
2021-09-11 20:30:31.703039 : Epoch  7, Batch    124, Loss  0.849936, Average Loss  0.868960, Time  0.432920
2021-09-11 20:30:37.516753 : Epoch  7, Batch    125, Loss  0.849171, Average Loss  0.868852, Time  0.337528
2021-09-11 20:30:42.266762 : Epoch  7, Batch    126, Loss  0.878914, Average Loss  0.868883, Time  0.378224
2021-09-11 20:30:47.822771 : Epoch  7, Batch    127, Loss  0.847629, Average Loss  0.868796, Time  0.248178
2021-09-11 20:30:54.183263 : Epoch  7, Batch    128, Loss  0.856351, Average Loss  0.868783, Time  0.328490
2021-09-11 20:30:59.423853 : Epoch  7, Batch    129, Loss  0.858424, Average Loss  0.868732, Time  0.317737
2021-09-11 20:31:05.719256 : Epoch  7, Batch    130, Loss  0.854316, Average Loss  0.868779, Time  0.265084
2021-09-11 20:31:11.197031 : Epoch  7, Batch    131, Loss  0.857612, Average Loss  0.868735, Time  0.272713
2021-09-11 20:31:17.890974 : Epoch  7, Batch    132, Loss  0.893433, Average Loss  0.868852, Time  0.379240
2021-09-11 20:31:22.191651 : Epoch  7, Batch    133, Loss  0.862208, Average Loss  0.868870, Time  0.387074
2021-09-11 20:31:26.188447 : Epoch  7, Batch    134, Loss  0.872037, Average Loss  0.868872, Time  0.284651
2021-09-11 20:31:32.790997 : Epoch  7, Batch    135, Loss  0.853251, Average Loss  0.868772, Time  0.310899
2021-09-11 20:31:37.566374 : Epoch  7, Batch    136, Loss  0.872190, Average Loss  0.868820, Time  0.255231
2021-09-11 20:31:44.859796 : Epoch  7, Batch    137, Loss  0.852059, Average Loss  0.868819, Time  0.274968
2021-09-11 20:31:51.509185 : Epoch  7, Batch    138, Loss  0.879273, Average Loss  0.868777, Time  0.240570
2021-09-11 20:31:57.225235 : Epoch  7, Batch    139, Loss  0.872356, Average Loss  0.868729, Time  0.409541
2021-09-11 20:32:02.806303 : Epoch  7, Batch    140, Loss  0.890506, Average Loss  0.868903, Time  0.330004
2021-09-11 20:32:09.758888 : Epoch  7, Batch    141, Loss  0.881108, Average Loss  0.869013, Time  0.435591
2021-09-11 20:32:14.375059 : Epoch  7, Batch    142, Loss  0.843983, Average Loss  0.868895, Time  0.253801
2021-09-11 20:32:18.462791 : Epoch  7, Batch    143, Loss  0.873819, Average Loss  0.868904, Time  0.272345
2021-09-11 20:32:23.327788 : Epoch  7, Batch    144, Loss  0.873353, Average Loss  0.868981, Time  0.290031
2021-09-11 20:32:27.967965 : Epoch  7, Batch    145, Loss  0.866767, Average Loss  0.868937, Time  0.296222
2021-09-11 20:32:34.507907 : Epoch  7, Batch    146, Loss  0.866133, Average Loss  0.868913, Time  0.358496
2021-09-11 20:32:39.984358 : Epoch  7, Batch    147, Loss  0.866606, Average Loss  0.868900, Time  0.241951
2021-09-11 20:32:47.037873 : Epoch  7, Batch    148, Loss  0.868343, Average Loss  0.868917, Time  0.353744
2021-09-11 20:32:52.814251 : Epoch  7, Batch    149, Loss  0.856795, Average Loss  0.868798, Time  0.293069
2021-09-11 20:32:59.100879 : Epoch  7, Batch    150, Loss  0.873159, Average Loss  0.868740, Time  0.268316
2021-09-11 20:33:05.603776 : Epoch  7, Batch    151, Loss  0.866555, Average Loss  0.868758, Time  0.327200
2021-09-11 20:33:10.390032 : Epoch  7, Batch    152, Loss  0.853700, Average Loss  0.868658, Time  0.259681
2021-09-11 20:33:17.526972 : Epoch  7, Batch    153, Loss  0.875830, Average Loss  0.868741, Time  0.402058
2021-09-11 20:33:27.086214 : Epoch  7, Batch    154, Loss  0.870682, Average Loss  0.868741, Time  0.301127
2021-09-11 20:33:34.386851 : Epoch  7, Batch    155, Loss  0.865725, Average Loss  0.868746, Time  0.291543
2021-09-11 20:33:43.290799 : Epoch  7, Batch    156, Loss  0.883701, Average Loss  0.868833, Time  0.300244
2021-09-11 20:33:47.479791 : Epoch  7, Batch    157, Loss  0.856383, Average Loss  0.868683, Time  0.351213
2021-09-11 20:33:52.730603 : Epoch  7, Batch    158, Loss  0.892607, Average Loss  0.868987, Time  0.242939
2021-09-11 20:33:59.498995 : Epoch  7, Batch    159, Loss  0.868038, Average Loss  0.868963, Time  0.267798
2021-09-11 20:34:06.478946 : Epoch  7, Batch    160, Loss  0.867026, Average Loss  0.868898, Time  0.255104
2021-09-11 20:34:12.741018 : Epoch  7, Batch    161, Loss  0.868900, Average Loss  0.869003, Time  0.309728
2021-09-11 20:34:17.990378 : Epoch  7, Batch    162, Loss  0.872998, Average Loss  0.868923, Time  0.295439
2021-09-11 20:34:22.244985 : Epoch  7, Batch    163, Loss  0.868139, Average Loss  0.868868, Time  0.240813
2021-09-11 20:34:28.963281 : Epoch  7, Batch    164, Loss  0.888311, Average Loss  0.868919, Time  0.339963
2021-09-11 20:35:08.597720 : CheckPoint: Validation Loss  0.00061232, Best Loss  0.00057266
2021-09-11 20:35:10.222837 : Epoch  7, Batch    835, Loss  0.869868, Average Loss  0.869961, Time  0.176803
2021-09-11 20:35:11.828808 : Epoch  7, Batch    836, Loss  0.886162, Average Loss  0.869995, Time  0.170295
2021-09-11 20:35:13.464795 : Epoch  7, Batch    837, Loss  0.859194, Average Loss  0.869971, Time  0.172095
2021-09-11 20:35:15.088975 : Epoch  7, Batch    838, Loss  0.871869, Average Loss  0.869854, Time  0.170182
2021-09-11 20:35:16.698995 : Epoch  7, Batch    839, Loss  0.854559, Average Loss  0.869937, Time  0.169877
2021-09-11 20:35:18.316979 : Epoch  7, Batch    840, Loss  0.858308, Average Loss  0.869988, Time  0.169744
2021-09-11 20:35:19.924993 : Epoch  7, Batch    841, Loss  0.846464, Average Loss  0.869917, Time  0.169659
2021-09-11 20:35:21.534001 : Epoch  7, Batch    842, Loss  0.879984, Average Loss  0.869997, Time  0.169877
2021-09-11 20:35:23.151788 : Epoch  7, Batch    843, Loss  0.869908, Average Loss  0.870078, Time  0.169757
2021-09-11 20:35:24.759793 : Epoch  7, Batch    844, Loss  0.862404, Average Loss  0.870067, Time  0.169763
2021-09-11 20:35:26.367750 : Epoch  7, Batch    845, Loss  0.870659, Average Loss  0.870107, Time  0.170019
2021-09-11 20:35:27.993819 : Epoch  7, Batch    846, Loss  0.879190, Average Loss  0.870118, Time  0.169948
2021-09-11 20:35:29.621003 : Epoch  7, Batch    847, Loss  0.865585, Average Loss  0.870120, Time  0.169983
2021-09-11 20:35:31.243003 : Epoch  7, Batch    848, Loss  0.884954, Average Loss  0.870212, Time  0.169154
2021-09-11 20:35:32.850833 : Epoch  7, Batch    849, Loss  0.864110, Average Loss  0.870223, Time  0.169700
2021-09-11 20:35:34.455820 : Epoch  7, Batch    850, Loss  0.853341, Average Loss  0.870214, Time  0.170005
2021-09-11 20:35:36.083762 : Epoch  7, Batch    851, Loss  0.856795, Average Loss  0.870091, Time  0.169582
2021-09-11 20:35:37.690773 : Epoch  7, Batch    852, Loss  0.872891, Average Loss  0.870328, Time  0.175277
2021-09-11 20:35:39.303030 : Epoch  7, Batch    853, Loss  0.909964, Average Loss  0.870316, Time  0.175412
2021-09-11 20:35:40.912762 : Epoch  7, Batch    854, Loss  0.859461, Average Loss  0.870288, Time  0.172270
2021-09-11 20:35:42.516845 : Epoch  7, Batch    855, Loss  0.863530, Average Loss  0.870450, Time  0.173711
2021-09-11 20:35:44.140031 : Epoch  7, Batch    856, Loss  0.872234, Average Loss  0.870317, Time  0.173708
2021-09-11 20:35:45.762034 : Epoch  7, Batch    857, Loss  0.875725, Average Loss  0.870405, Time  0.173958
2021-09-11 20:35:47.384975 : Epoch  7, Batch    858, Loss  0.884370, Average Loss  0.870527, Time  0.171736
2021-09-11 20:35:48.964862 : Epoch  7, Batch    859, Loss  0.879471, Average Loss  0.870638, Time  0.170779
2021-09-11 20:35:50.571036 : Epoch  7, Batch    860, Loss  0.879934, Average Loss  0.870698, Time  0.170590
2021-09-11 20:35:52.185033 : Epoch  7, Batch    861, Loss  0.905511, Average Loss  0.870855, Time  0.171172
2021-09-11 20:35:53.785036 : Epoch  7, Batch    862, Loss  0.872521, Average Loss  0.870784, Time  0.171300
2021-09-11 20:35:55.385878 : Epoch  7, Batch    863, Loss  0.849732, Average Loss  0.870681, Time  0.169940
2021-09-11 20:35:56.967029 : Epoch  7, Batch    864, Loss  0.886231, Average Loss  0.870797, Time  0.169999
2021-09-11 20:35:58.565755 : Epoch  7, Batch    865, Loss  0.846514, Average Loss  0.870504, Time  0.171581
2021-09-11 20:36:00.180807 : Epoch  7, Batch    866, Loss  0.906990, Average Loss  0.870665, Time  0.173038
2021-09-11 20:36:01.772787 : Epoch  7, Batch    867, Loss  0.873962, Average Loss  0.870777, Time  0.170024
2021-09-11 20:36:03.395760 : Epoch  7, Batch    868, Loss  0.870610, Average Loss  0.870757, Time  0.170398
2021-09-11 20:36:04.984746 : Epoch  7, Batch    869, Loss  0.872148, Average Loss  0.870701, Time  0.170101
2021-09-11 20:36:06.582761 : Epoch  7, Batch    870, Loss  0.842424, Average Loss  0.870680, Time  0.171024
2021-09-11 20:36:08.189758 : Epoch  7, Batch    871, Loss  0.873889, Average Loss  0.870680, Time  0.169892
2021-09-11 20:36:09.831833 : Epoch  7, Batch    872, Loss  0.870356, Average Loss  0.870672, Time  0.169868
2021-09-11 20:36:11.467794 : Epoch  7, Batch    873, Loss  0.871470, Average Loss  0.870566, Time  0.178718
2021-09-11 20:36:13.081353 : Epoch  7, Batch    874, Loss  0.886394, Average Loss  0.870583, Time  0.170290
2021-09-11 20:36:14.684760 : Epoch  7, Batch    875, Loss  0.895809, Average Loss  0.870690, Time  0.170099
2021-09-11 20:36:16.282918 : Epoch  7, Batch    876, Loss  0.879628, Average Loss  0.870797, Time  0.170024
2021-09-11 20:36:17.891015 : Epoch  7, Batch    877, Loss  0.888216, Average Loss  0.871019, Time  0.170942
2021-09-11 20:36:19.494836 : Epoch  7, Batch    878, Loss  0.880479, Average Loss  0.871060, Time  0.172902
2021-09-11 20:36:21.099750 : Epoch  7, Batch    879, Loss  0.898965, Average Loss  0.871178, Time  0.169801
2021-09-11 20:36:22.739857 : Epoch  7, Batch    880, Loss  0.875635, Average Loss  0.871244, Time  0.183615
2021-09-11 20:36:24.359770 : Epoch  7, Batch    881, Loss  0.876040, Average Loss  0.871344, Time  0.170228
2021-09-11 20:36:25.949821 : Epoch  7, Batch    882, Loss  0.869006, Average Loss  0.871219, Time  0.173538
2021-09-11 20:36:27.567034 : Epoch  7, Batch    883, Loss  0.883654, Average Loss  0.871221, Time  0.169954
2021-09-11 20:36:29.193964 : Epoch  7, Batch    884, Loss  0.876398, Average Loss  0.871322, Time  0.173197
2021-09-11 20:36:30.802057 : Epoch  7, Batch    885, Loss  0.831666, Average Loss  0.871152, Time  0.170149
2021-09-11 20:36:32.411850 : Epoch  7, Batch    886, Loss  0.849954, Average Loss  0.871082, Time  0.172945
2021-09-11 20:36:34.021866 : Epoch  7, Batch    887, Loss  0.890051, Average Loss  0.871191, Time  0.170338
2021-09-11 20:36:35.655782 : Epoch  7, Batch    888, Loss  0.863063, Average Loss  0.871240, Time  0.175624
2021-09-11 20:36:37.259767 : Epoch  7, Batch    889, Loss  0.883880, Average Loss  0.871322, Time  0.170700
2021-09-11 20:36:38.885762 : Epoch  7, Batch    890, Loss  0.855892, Average Loss  0.871231, Time  0.172517
2021-09-11 20:36:40.507789 : Epoch  7, Batch    891, Loss  0.867546, Average Loss  0.871143, Time  0.174855
2021-09-11 20:36:42.107831 : Epoch  7, Batch    892, Loss  0.874503, Average Loss  0.871267, Time  0.170488
2021-09-11 20:36:43.735994 : Epoch  7, Batch    893, Loss  0.863659, Average Loss  0.871293, Time  0.176064
2021-09-11 20:36:45.357913 : Epoch  7, Batch    894, Loss  0.872468, Average Loss  0.871191, Time  0.172445
2021-09-11 20:36:46.955786 : Epoch  7, Batch    895, Loss  0.880186, Average Loss  0.871201, Time  0.173567
2021-09-11 20:36:48.551948 : Epoch  7, Batch    896, Loss  0.877537, Average Loss  0.871187, Time  0.172876
2021-09-11 20:36:50.146736 : Epoch  7, Batch    897, Loss  0.875639, Average Loss  0.871337, Time  0.172811
2021-09-11 20:36:51.741037 : Epoch  7, Batch    898, Loss  0.863517, Average Loss  0.871250, Time  0.171675
2021-09-11 20:36:53.341034 : Epoch  7, Batch    899, Loss  0.857327, Average Loss  0.871171, Time  0.171571
2021-09-11 20:36:54.938173 : Epoch  7, Batch    900, Loss  0.872051, Average Loss  0.871103, Time  0.175191
2021-09-11 20:36:56.545768 : Epoch  7, Batch    901, Loss  0.861387, Average Loss  0.871139, Time  0.171016
2021-09-11 20:36:58.152037 : Epoch  7, Batch    902, Loss  0.864578, Average Loss  0.871063, Time  0.169973
2021-09-11 20:36:59.773031 : Epoch  7, Batch    903, Loss  0.875364, Average Loss  0.871037, Time  0.169870
2021-09-11 20:37:01.377792 : Epoch  7, Batch    904, Loss  0.889329, Average Loss  0.871042, Time  0.173100
2021-09-11 20:37:02.988017 : Epoch  7, Batch    905, Loss  0.879887, Average Loss  0.871047, Time  0.169950
2021-09-11 20:37:04.617754 : Epoch  7, Batch    906, Loss  0.857834, Average Loss  0.871061, Time  0.177022
2021-09-11 20:37:06.232882 : Epoch  7, Batch    907, Loss  0.844598, Average Loss  0.871061, Time  0.169830
2021-09-11 20:37:07.867937 : Epoch  7, Batch    908, Loss  0.871897, Average Loss  0.871052, Time  0.173297
2021-09-11 20:37:09.483777 : Epoch  7, Batch    909, Loss  0.878898, Average Loss  0.871213, Time  0.170239
2021-09-11 20:37:11.140759 : Epoch  7, Batch    910, Loss  0.883503, Average Loss  0.871369, Time  0.170086
2021-09-11 20:37:12.765029 : Epoch  7, Batch    911, Loss  0.860148, Average Loss  0.871408, Time  0.174935
2021-09-11 20:37:14.367742 : Epoch  7, Batch    912, Loss  0.848816, Average Loss  0.871145, Time  0.170088
2021-09-11 20:37:15.976739 : Epoch  7, Batch    913, Loss  0.816582, Average Loss  0.870879, Time  0.170419
2021-09-11 20:37:17.579732 : Epoch  7, Batch    914, Loss  0.886472, Average Loss  0.871014, Time  0.170687
2021-09-11 20:37:19.173606 : Epoch  7, Batch    915, Loss  0.870935, Average Loss  0.870847, Time  0.170585
2021-09-11 20:37:20.767896 : Epoch  7, Batch    916, Loss  0.863553, Average Loss  0.870764, Time  0.169914
2021-09-11 20:37:22.390741 : Epoch  7, Batch    917, Loss  0.868866, Average Loss  0.870684, Time  0.170109
2021-09-11 20:37:23.993836 : Epoch  7, Batch    918, Loss  0.871874, Average Loss  0.870762, Time  0.174391
2021-09-11 20:37:25.604029 : Epoch  7, Batch    919, Loss  0.889627, Average Loss  0.870865, Time  0.174550
2021-09-11 20:37:27.229736 : Epoch  7, Batch    920, Loss  0.851425, Average Loss  0.870855, Time  0.171662
2021-09-11 20:37:28.823033 : Epoch  7, Batch    921, Loss  0.888141, Average Loss  0.870920, Time  0.171213
2021-09-11 20:37:30.428030 : Epoch  7, Batch    922, Loss  0.869808, Average Loss  0.870943, Time  0.172824
2021-09-11 20:37:32.047740 : Epoch  7, Batch    923, Loss  0.854426, Average Loss  0.871039, Time  0.178416
2021-09-11 20:37:33.669814 : Epoch  7, Batch    924, Loss  0.867169, Average Loss  0.871097, Time  0.179485
2021-09-11 20:37:35.293872 : Epoch  7, Batch    925, Loss  0.899000, Average Loss  0.871399, Time  0.170388
2021-09-11 20:37:36.919755 : Epoch  7, Batch    926, Loss  0.832170, Average Loss  0.871168, Time  0.174752
2021-09-11 20:37:38.529746 : Epoch  7, Batch    927, Loss  0.862643, Average Loss  0.871230, Time  0.173636
2021-09-11 20:37:40.131841 : Epoch  7, Batch    928, Loss  0.857681, Average Loss  0.871117, Time  0.170131
2021-09-11 20:37:41.746824 : Epoch  7, Batch    929, Loss  0.880581, Average Loss  0.871007, Time  0.169640
2021-09-11 20:37:43.354761 : Epoch  7, Batch    930, Loss  0.852661, Average Loss  0.870873, Time  0.174530
2021-09-11 20:37:44.987744 : Epoch  7, Batch    931, Loss  0.880787, Average Loss  0.870920, Time  0.179535
2021-09-11 20:37:46.598892 : Epoch  7, Batch    932, Loss  0.885661, Average Loss  0.871005, Time  0.169950
2021-09-11 20:37:48.191025 : Epoch  7, Batch    933, Loss  0.884373, Average Loss  0.871283, Time  0.169865
2021-09-11 20:37:49.799033 : Epoch  7, Batch    934, Loss  0.866361, Average Loss  0.871206, Time  0.174999
2021-09-11 20:42:35.992202 : CheckPoint: Validation Loss  0.00030076, Best Loss  0.00029019
2021-09-11 20:42:40.693762 : Epoch  7, Batch    165, Loss  0.873576, Average Loss  0.869064, Time  0.334548
2021-09-11 20:42:45.428590 : Epoch  7, Batch    166, Loss  0.866402, Average Loss  0.869022, Time  0.309625
2021-09-11 20:42:50.190075 : Epoch  7, Batch    167, Loss  0.873513, Average Loss  0.869042, Time  0.316076
2021-09-11 20:42:54.068378 : Epoch  7, Batch    168, Loss  0.860212, Average Loss  0.868942, Time  0.237581
2021-09-11 20:42:57.896643 : Epoch  7, Batch    169, Loss  0.875572, Average Loss  0.869000, Time  0.240058
2021-09-11 20:43:02.256896 : Epoch  7, Batch    170, Loss  0.862257, Average Loss  0.869023, Time  0.329628
2021-09-11 20:43:05.213286 : Epoch  7, Batch    171, Loss  0.866690, Average Loss  0.868951, Time  0.257533
2021-09-11 20:43:07.936374 : Epoch  7, Batch    172, Loss  0.871132, Average Loss  0.869031, Time  0.280277
2021-09-11 20:43:12.703172 : Epoch  7, Batch    173, Loss  0.860610, Average Loss  0.868935, Time  0.264456
2021-09-11 20:43:17.989194 : Epoch  7, Batch    174, Loss  0.866077, Average Loss  0.868829, Time  0.260623
2021-09-11 20:43:22.880719 : Epoch  7, Batch    175, Loss  0.864728, Average Loss  0.868922, Time  0.251312
2021-09-11 20:43:28.102173 : Epoch  7, Batch    176, Loss  0.863942, Average Loss  0.868885, Time  0.237841
2021-09-11 20:43:33.355061 : Epoch  7, Batch    177, Loss  0.850449, Average Loss  0.868737, Time  0.264754
2021-09-11 20:43:36.607137 : Epoch  7, Batch    178, Loss  0.888748, Average Loss  0.868813, Time  0.270949
2021-09-11 20:43:42.377711 : Epoch  7, Batch    179, Loss  0.878516, Average Loss  0.868966, Time  0.334880
2021-09-11 20:43:47.981555 : Epoch  7, Batch    180, Loss  0.892416, Average Loss  0.869086, Time  0.308664
2021-09-11 20:43:53.608743 : Epoch  7, Batch    181, Loss  0.894718, Average Loss  0.869133, Time  0.320740
2021-09-11 20:43:59.762807 : Epoch  7, Batch    182, Loss  0.848879, Average Loss  0.869086, Time  0.340992
2021-09-11 20:44:05.246123 : Epoch  7, Batch    183, Loss  0.881376, Average Loss  0.869184, Time  0.268216
2021-09-11 20:44:11.149784 : Epoch  7, Batch    184, Loss  0.882249, Average Loss  0.869238, Time  0.353309
2021-09-11 20:44:16.123245 : Epoch  7, Batch    185, Loss  0.847637, Average Loss  0.869183, Time  0.289101
2021-09-11 20:44:21.084309 : Epoch  7, Batch    186, Loss  0.876705, Average Loss  0.869252, Time  0.330312
2021-09-11 20:44:25.733783 : Epoch  7, Batch    187, Loss  0.875245, Average Loss  0.869251, Time  0.288341
2021-09-11 20:44:31.531838 : Epoch  7, Batch    188, Loss  0.855401, Average Loss  0.869229, Time  0.240144
2021-09-11 20:44:36.523800 : Epoch  7, Batch    189, Loss  0.856797, Average Loss  0.869215, Time  0.238616
2021-09-11 20:44:41.797407 : Epoch  7, Batch    190, Loss  0.842337, Average Loss  0.869138, Time  0.293697
2021-09-11 20:44:47.173796 : Epoch  7, Batch    191, Loss  0.864915, Average Loss  0.869145, Time  0.364326
2021-09-11 20:44:54.179783 : Epoch  7, Batch    192, Loss  0.878705, Average Loss  0.869074, Time  0.266149
2021-09-11 20:44:58.769889 : Epoch  7, Batch    193, Loss  0.875620, Average Loss  0.869129, Time  0.256004
2021-09-11 20:45:04.151994 : Epoch  7, Batch    194, Loss  0.846216, Average Loss  0.868986, Time  0.278316
2021-09-11 20:45:10.917902 : Epoch  7, Batch    195, Loss  0.860583, Average Loss  0.868942, Time  0.251900
2021-09-11 20:45:18.012972 : Epoch  7, Batch    196, Loss  0.855757, Average Loss  0.868801, Time  0.279761
2021-09-11 20:45:27.767767 : Epoch  7, Batch    197, Loss  0.887062, Average Loss  0.868884, Time  0.539772
2021-09-11 20:45:36.604812 : Epoch  7, Batch    198, Loss  0.878665, Average Loss  0.868870, Time  0.283866
2021-09-11 20:45:46.120476 : Epoch  7, Batch    199, Loss  0.859049, Average Loss  0.868902, Time  0.271302
2021-09-11 20:45:53.691807 : Epoch  7, Batch    200, Loss  0.844992, Average Loss  0.868744, Time  0.246731
2021-09-11 20:45:59.559056 : Epoch  7, Batch    201, Loss  0.893673, Average Loss  0.868945, Time  0.316439
2021-09-11 20:46:07.148055 : Epoch  7, Batch    202, Loss  0.889042, Average Loss  0.869018, Time  0.310091
2021-09-11 20:46:13.842723 : Epoch  7, Batch    203, Loss  0.857057, Average Loss  0.868957, Time  0.362079
2021-09-11 20:46:21.524022 : Epoch  7, Batch    204, Loss  0.875646, Average Loss  0.868997, Time  0.283444
2021-09-11 20:46:29.215725 : Epoch  7, Batch    205, Loss  0.867298, Average Loss  0.868922, Time  0.277150
2021-09-11 20:46:38.730793 : Epoch  7, Batch    206, Loss  0.869489, Average Loss  0.868879, Time  0.498164
2021-09-11 20:46:49.698963 : Epoch  7, Batch    207, Loss  0.877560, Average Loss  0.868879, Time  0.243888
2021-09-11 20:46:59.988200 : Epoch  7, Batch    208, Loss  0.879625, Average Loss  0.868893, Time  0.365497
2021-09-11 20:47:10.531857 : Epoch  7, Batch    209, Loss  0.867964, Average Loss  0.868918, Time  0.258112
2021-09-11 20:47:19.542912 : Epoch  7, Batch    210, Loss  0.869156, Average Loss  0.869035, Time  0.341755
2021-09-11 20:47:27.096223 : Epoch  7, Batch    211, Loss  0.846062, Average Loss  0.868805, Time  0.320621
2021-09-11 20:47:34.840736 : Epoch  7, Batch    212, Loss  0.874279, Average Loss  0.868892, Time  0.261752
2021-09-11 20:47:44.120128 : Epoch  7, Batch    213, Loss  0.865465, Average Loss  0.868916, Time  0.394768
2021-09-11 20:47:55.540012 : Epoch  7, Batch    214, Loss  0.877511, Average Loss  0.868866, Time  0.527616
2021-09-11 20:48:04.474734 : Epoch  7, Batch    215, Loss  0.865277, Average Loss  0.868746, Time  0.266331
2021-09-11 20:48:13.078759 : Epoch  7, Batch    216, Loss  0.875628, Average Loss  0.868791, Time  0.347710
2021-09-11 20:48:22.018443 : Epoch  7, Batch    217, Loss  0.882263, Average Loss  0.868852, Time  0.593482
2021-09-11 20:48:30.619744 : Epoch  7, Batch    218, Loss  0.860718, Average Loss  0.868726, Time  0.349344
2021-09-11 20:48:35.275710 : Epoch  7, Batch    219, Loss  0.857867, Average Loss  0.868725, Time  0.412345
2021-09-11 20:48:40.972753 : Epoch  7, Batch    220, Loss  0.878355, Average Loss  0.868666, Time  0.383035
2021-09-11 20:48:49.870864 : Epoch  7, Batch    221, Loss  0.896982, Average Loss  0.868836, Time  0.479960
2021-09-11 20:48:59.619822 : Epoch  7, Batch    222, Loss  0.875343, Average Loss  0.868803, Time  0.492490
2021-09-11 20:49:08.704328 : Epoch  7, Batch    223, Loss  0.857227, Average Loss  0.868720, Time  0.390052
2021-09-11 20:49:17.058076 : Epoch  7, Batch    224, Loss  0.872474, Average Loss  0.868781, Time  0.383962
2021-09-11 20:49:23.013861 : Epoch  7, Batch    225, Loss  0.869399, Average Loss  0.868742, Time  0.330891
2021-09-11 20:49:31.289730 : Epoch  7, Batch    226, Loss  0.861597, Average Loss  0.868695, Time  0.434644
2021-09-11 20:49:40.447762 : Epoch  7, Batch    227, Loss  0.861018, Average Loss  0.868610, Time  0.355266
2021-09-11 20:49:50.091350 : Epoch  7, Batch    228, Loss  0.866613, Average Loss  0.868708, Time  0.335358
2021-09-11 20:49:57.294775 : Epoch  7, Batch    229, Loss  0.885514, Average Loss  0.868847, Time  0.338854
2021-09-11 20:50:05.063091 : Epoch  7, Batch    230, Loss  0.861159, Average Loss  0.868804, Time  0.290079
2021-09-11 20:50:13.167224 : Epoch  7, Batch    231, Loss  0.891458, Average Loss  0.869016, Time  0.285238
2021-09-11 20:50:21.795154 : Epoch  7, Batch    232, Loss  0.851265, Average Loss  0.868878, Time  0.525415
2021-09-11 20:50:31.074062 : Epoch  7, Batch    233, Loss  0.892950, Average Loss  0.868861, Time  0.408517
2021-09-11 20:50:40.400918 : Epoch  7, Batch    234, Loss  0.885770, Average Loss  0.869024, Time  0.369936
2021-09-11 20:50:46.446145 : Epoch  7, Batch    235, Loss  0.880382, Average Loss  0.869164, Time  0.465352
2021-09-11 20:50:57.084245 : Epoch  7, Batch    236, Loss  0.853390, Average Loss  0.869056, Time  0.442138
2021-09-11 20:51:04.907673 : Epoch  7, Batch    237, Loss  0.864874, Average Loss  0.869034, Time  0.359108
2021-09-11 20:51:13.564012 : Epoch  7, Batch    238, Loss  0.858194, Average Loss  0.869059, Time  0.272822
2021-09-11 20:51:21.263789 : Epoch  7, Batch    239, Loss  0.864266, Average Loss  0.869068, Time  0.321203
2021-09-11 20:51:30.596779 : Epoch  7, Batch    240, Loss  0.861061, Average Loss  0.869098, Time  0.304633
2021-09-11 20:51:39.803796 : Epoch  7, Batch    241, Loss  0.871858, Average Loss  0.869156, Time  0.365886
2021-09-11 20:51:46.640174 : Epoch  7, Batch    242, Loss  0.886556, Average Loss  0.869072, Time  0.422023
2021-09-11 20:51:53.221068 : Epoch  7, Batch    243, Loss  0.876227, Average Loss  0.869135, Time  0.542197
2021-09-11 20:52:00.057243 : Epoch  7, Batch    244, Loss  0.870302, Average Loss  0.869040, Time  0.286373
2021-09-11 20:52:09.522495 : Epoch  7, Batch    245, Loss  0.870412, Average Loss  0.869072, Time  0.450852
2021-09-11 20:52:18.749768 : Epoch  7, Batch    246, Loss  0.874573, Average Loss  0.869013, Time  0.239573
2021-09-11 20:52:26.032711 : Epoch  7, Batch    247, Loss  0.880129, Average Loss  0.869166, Time  0.432408
2021-09-11 20:52:33.799284 : Epoch  7, Batch    248, Loss  0.867601, Average Loss  0.869134, Time  0.386429
2021-09-11 20:52:41.853868 : Epoch  7, Batch    249, Loss  0.868018, Average Loss  0.869119, Time  0.357937
2021-09-11 20:52:49.182217 : Epoch  7, Batch    250, Loss  0.877321, Average Loss  0.869179, Time  0.576401
2021-09-11 20:52:59.775010 : Epoch  7, Batch    251, Loss  0.865831, Average Loss  0.869157, Time  0.508255
2021-09-11 20:53:06.077062 : Epoch  7, Batch    252, Loss  0.873748, Average Loss  0.869217, Time  0.273838
2021-09-11 20:53:12.882246 : Epoch  7, Batch    253, Loss  0.872697, Average Loss  0.869247, Time  0.272995
2021-09-11 20:53:20.585752 : Epoch  7, Batch    254, Loss  0.857247, Average Loss  0.869174, Time  0.317329
2021-09-11 20:53:29.119747 : Epoch  7, Batch    255, Loss  0.861057, Average Loss  0.869208, Time  0.381561
2021-09-11 20:53:39.271759 : Epoch  7, Batch    256, Loss  0.876116, Average Loss  0.869189, Time  0.435141
2021-09-11 20:53:48.089974 : Epoch  7, Batch    257, Loss  0.881493, Average Loss  0.869204, Time  0.388563
2021-09-11 20:53:56.817762 : Epoch  7, Batch    258, Loss  0.868551, Average Loss  0.869242, Time  0.567155
2021-09-11 20:54:05.432782 : Epoch  7, Batch    259, Loss  0.861027, Average Loss  0.869162, Time  0.243105
2021-09-11 20:54:13.314035 : Epoch  7, Batch    260, Loss  0.875526, Average Loss  0.869225, Time  0.372879
2021-09-11 20:54:23.063799 : Epoch  7, Batch    261, Loss  0.856000, Average Loss  0.869138, Time  0.598225
2021-09-11 20:54:28.236032 : Epoch  7, Batch    262, Loss  0.849263, Average Loss  0.869038, Time  0.470177
2021-09-11 20:54:34.904039 : Epoch  7, Batch    263, Loss  0.895607, Average Loss  0.869169, Time  0.276828
2021-09-11 20:54:38.178198 : Epoch  7, Batch    264, Loss  0.884451, Average Loss  0.869037, Time  0.385675
2021-09-11 21:06:18.783306 : CheckPoint: Validation Loss  0.00030610, Best Loss  0.00029019
2021-09-11 21:06:27.832185 : Epoch  7, Batch    265, Loss  0.871900, Average Loss  0.869084, Time  0.349889
2021-09-11 21:06:38.937345 : Epoch  7, Batch    266, Loss  0.883582, Average Loss  0.869196, Time  0.298966
2021-09-11 21:06:49.096366 : Epoch  7, Batch    267, Loss  0.868716, Average Loss  0.869212, Time  0.441031
2021-09-11 21:06:53.877448 : Epoch  7, Batch    268, Loss  0.866221, Average Loss  0.869214, Time  0.516534
2021-09-11 21:07:01.810898 : Epoch  7, Batch    269, Loss  0.849980, Average Loss  0.869152, Time  0.237711
2021-09-11 21:07:09.171417 : Epoch  7, Batch    270, Loss  0.888810, Average Loss  0.869278, Time  0.366293
2021-09-11 21:07:17.611203 : Epoch  7, Batch    271, Loss  0.870815, Average Loss  0.869277, Time  0.329075
2021-09-11 21:07:30.220469 : Epoch  7, Batch    272, Loss  0.883065, Average Loss  0.869236, Time  0.462397
2021-09-11 21:07:39.225612 : Epoch  7, Batch    273, Loss  0.877756, Average Loss  0.869352, Time  0.624363
2021-09-11 21:07:47.325414 : Epoch  7, Batch    274, Loss  0.863034, Average Loss  0.869286, Time  0.363232
2021-09-11 21:07:57.122433 : Epoch  7, Batch    275, Loss  0.908737, Average Loss  0.869495, Time  0.445563
2021-09-11 21:08:09.333904 : Epoch  7, Batch    276, Loss  0.874470, Average Loss  0.869553, Time  0.519345
2021-09-11 21:08:15.790606 : Epoch  7, Batch    277, Loss  0.842752, Average Loss  0.869372, Time  0.375871
2021-09-11 21:08:24.108016 : Epoch  7, Batch    278, Loss  0.864214, Average Loss  0.869336, Time  0.406661
2021-09-11 21:08:31.739443 : Epoch  7, Batch    279, Loss  0.863036, Average Loss  0.869372, Time  0.444160
2021-09-11 21:08:38.580090 : Epoch  7, Batch    280, Loss  0.843682, Average Loss  0.869229, Time  0.306753
2021-09-11 21:08:43.107948 : Epoch  7, Batch    281, Loss  0.885921, Average Loss  0.869285, Time  0.240478
2021-09-11 21:08:47.673167 : Epoch  7, Batch    282, Loss  0.853183, Average Loss  0.869119, Time  0.265057
2021-09-11 21:08:55.519633 : Epoch  7, Batch    283, Loss  0.866408, Average Loss  0.869052, Time  0.484612
2021-09-11 21:09:01.989291 : Epoch  7, Batch    284, Loss  0.869446, Average Loss  0.868955, Time  0.352571
2021-09-11 21:09:08.392691 : Epoch  7, Batch    285, Loss  0.872178, Average Loss  0.869023, Time  0.397713
2021-09-11 21:09:11.947036 : Epoch  7, Batch    286, Loss  0.881300, Average Loss  0.869077, Time  0.303440
2021-09-11 21:09:20.281092 : Epoch  7, Batch    287, Loss  0.869470, Average Loss  0.869206, Time  0.584529
2021-09-11 21:09:29.833958 : Epoch  7, Batch    288, Loss  0.865452, Average Loss  0.869225, Time  0.239590
2021-09-11 21:09:43.997392 : Epoch  7, Batch    289, Loss  0.874024, Average Loss  0.869283, Time  0.449899
2021-09-11 21:09:49.570918 : Epoch  7, Batch    290, Loss  0.857661, Average Loss  0.869150, Time  0.340848
2021-09-11 21:09:55.697839 : Epoch  7, Batch    291, Loss  0.857095, Average Loss  0.869175, Time  0.366670
2021-09-11 21:10:02.325839 : Epoch  7, Batch    292, Loss  0.876050, Average Loss  0.869291, Time  0.351997
2021-09-11 21:10:07.879009 : Epoch  7, Batch    293, Loss  0.859098, Average Loss  0.869232, Time  0.240971
2021-09-11 21:10:15.226152 : Epoch  7, Batch    294, Loss  0.868702, Average Loss  0.869203, Time  0.337650
2021-09-11 21:10:22.371675 : Epoch  7, Batch    295, Loss  0.872049, Average Loss  0.869205, Time  0.343606
2021-09-11 21:10:26.587255 : Epoch  7, Batch    296, Loss  0.868383, Average Loss  0.869194, Time  0.269726
2021-09-11 21:10:34.267246 : Epoch  7, Batch    297, Loss  0.868049, Average Loss  0.869071, Time  0.418398
2021-09-11 21:10:41.729328 : Epoch  7, Batch    298, Loss  0.867630, Average Loss  0.869089, Time  0.380758
2021-09-11 21:10:49.045127 : Epoch  7, Batch    299, Loss  0.873713, Average Loss  0.869149, Time  0.477614
2021-09-11 21:10:55.278013 : Epoch  7, Batch    300, Loss  0.854365, Average Loss  0.869174, Time  0.302997
2021-09-11 21:10:59.953166 : Epoch  7, Batch    301, Loss  0.869731, Average Loss  0.869222, Time  0.315632
2021-09-11 21:11:04.425185 : Epoch  7, Batch    302, Loss  0.892093, Average Loss  0.869294, Time  0.246730
2021-09-11 21:11:11.198014 : Epoch  7, Batch    303, Loss  0.860034, Average Loss  0.869323, Time  0.286334
2021-09-11 21:11:18.537442 : Epoch  7, Batch    304, Loss  0.895806, Average Loss  0.869403, Time  0.293629
2021-09-11 21:11:25.444454 : Epoch  7, Batch    305, Loss  0.886338, Average Loss  0.869529, Time  0.422871
2021-09-11 21:11:29.284766 : Epoch  7, Batch    306, Loss  0.859960, Average Loss  0.869503, Time  0.256457
2021-09-11 21:11:35.816333 : Epoch  7, Batch    307, Loss  0.853752, Average Loss  0.869345, Time  0.331160
2021-09-11 21:11:39.822348 : Epoch  7, Batch    308, Loss  0.864996, Average Loss  0.869308, Time  0.333758
2021-09-11 21:11:46.854882 : Epoch  7, Batch    309, Loss  0.854810, Average Loss  0.869266, Time  0.513659
2021-09-11 21:11:52.177764 : Epoch  7, Batch    310, Loss  0.853883, Average Loss  0.869258, Time  0.245934
2021-09-11 21:11:57.487470 : Epoch  7, Batch    311, Loss  0.875505, Average Loss  0.869213, Time  0.328909
2021-09-11 21:12:02.585264 : Epoch  7, Batch    312, Loss  0.853018, Average Loss  0.869204, Time  0.259284
2021-09-11 21:12:06.515984 : Epoch  7, Batch    313, Loss  0.876854, Average Loss  0.869163, Time  0.245351
2021-09-11 21:12:13.315989 : Epoch  7, Batch    314, Loss  0.868712, Average Loss  0.869157, Time  0.427431
2021-09-11 21:12:21.292790 : Epoch  7, Batch    315, Loss  0.872056, Average Loss  0.869114, Time  0.396889
2021-09-11 21:12:27.698791 : Epoch  7, Batch    316, Loss  0.861751, Average Loss  0.868997, Time  0.272994
2021-09-11 21:12:30.942730 : Epoch  7, Batch    317, Loss  0.878600, Average Loss  0.869103, Time  0.240293
2021-09-11 21:12:36.758815 : Epoch  7, Batch    318, Loss  0.853137, Average Loss  0.868998, Time  0.296817
2021-09-11 21:12:44.317812 : Epoch  7, Batch    319, Loss  0.876015, Average Loss  0.869063, Time  0.443177
2021-09-11 21:12:51.794501 : Epoch  7, Batch    320, Loss  0.878013, Average Loss  0.869157, Time  0.247534
2021-09-11 21:12:58.459570 : Epoch  7, Batch    321, Loss  0.872968, Average Loss  0.869193, Time  0.388377
2021-09-11 21:13:03.499163 : Epoch  7, Batch    322, Loss  0.879391, Average Loss  0.869236, Time  0.324136
2021-09-11 21:13:10.791346 : Epoch  7, Batch    323, Loss  0.878643, Average Loss  0.869278, Time  0.260780
2021-09-11 21:13:17.640410 : Epoch  7, Batch    324, Loss  0.872391, Average Loss  0.869390, Time  0.311689
2021-09-11 21:13:22.461326 : Epoch  7, Batch    325, Loss  0.880500, Average Loss  0.869547, Time  0.389825
2021-09-11 21:13:26.904048 : Epoch  7, Batch    326, Loss  0.860590, Average Loss  0.869455, Time  0.269570
2021-09-11 21:13:32.715962 : Epoch  7, Batch    327, Loss  0.891530, Average Loss  0.869675, Time  0.414355
2021-09-11 21:13:39.675088 : Epoch  7, Batch    328, Loss  0.856743, Average Loss  0.869677, Time  0.487329
2021-09-11 21:13:46.220810 : Epoch  7, Batch    329, Loss  0.883454, Average Loss  0.869802, Time  0.341980
2021-09-11 21:13:50.014265 : Epoch  7, Batch    330, Loss  0.891996, Average Loss  0.869990, Time  0.257129
2021-09-11 21:13:57.794079 : Epoch  7, Batch    331, Loss  0.832277, Average Loss  0.869863, Time  0.250132
2021-09-11 21:14:03.325017 : Epoch  7, Batch    332, Loss  0.849600, Average Loss  0.869644, Time  0.329581
2021-09-11 21:14:09.520848 : Epoch  7, Batch    333, Loss  0.867608, Average Loss  0.869671, Time  0.255887
2021-09-11 21:14:15.448940 : Epoch  7, Batch    334, Loss  0.881341, Average Loss  0.869718, Time  0.282243
2021-09-11 21:14:22.534089 : Epoch  7, Batch    335, Loss  0.861287, Average Loss  0.869758, Time  0.273587
2021-09-11 21:14:29.492444 : Epoch  7, Batch    336, Loss  0.871080, Average Loss  0.869752, Time  0.433253
2021-09-11 21:14:35.921887 : Epoch  7, Batch    337, Loss  0.861126, Average Loss  0.869798, Time  0.288251
2021-09-11 21:14:39.821601 : Epoch  7, Batch    338, Loss  0.871708, Average Loss  0.869760, Time  0.250173
2021-09-11 21:14:46.021060 : Epoch  7, Batch    339, Loss  0.861000, Average Loss  0.869703, Time  0.382831
2021-09-11 21:14:52.292661 : Epoch  7, Batch    340, Loss  0.864924, Average Loss  0.869575, Time  0.272982
2021-09-11 21:14:59.090259 : Epoch  7, Batch    341, Loss  0.880003, Average Loss  0.869570, Time  0.320326
2021-09-11 21:15:04.674428 : Epoch  7, Batch    342, Loss  0.859707, Average Loss  0.869648, Time  0.289981
2021-09-11 21:15:11.454805 : Epoch  7, Batch    343, Loss  0.857269, Average Loss  0.869566, Time  0.309629
2021-09-11 21:15:17.783059 : Epoch  7, Batch    344, Loss  0.898166, Average Loss  0.869690, Time  0.271612
2021-09-11 21:15:27.723585 : Epoch  7, Batch    345, Loss  0.866862, Average Loss  0.869690, Time  0.278318
2021-09-11 21:15:35.732386 : Epoch  7, Batch    346, Loss  0.885181, Average Loss  0.869785, Time  0.477831
2021-09-11 21:15:43.552139 : Epoch  7, Batch    347, Loss  0.870069, Average Loss  0.869803, Time  0.303144
2021-09-11 21:15:50.255840 : Epoch  7, Batch    348, Loss  0.883539, Average Loss  0.869879, Time  0.294124
2021-09-11 21:15:56.558993 : Epoch  7, Batch    349, Loss  0.877979, Average Loss  0.869985, Time  0.263370
2021-09-11 21:16:02.570300 : Epoch  7, Batch    350, Loss  0.855229, Average Loss  0.869895, Time  0.473121
2021-09-11 21:16:08.012599 : Epoch  7, Batch    351, Loss  0.872778, Average Loss  0.869926, Time  0.312984
2021-09-11 21:16:13.550299 : Epoch  7, Batch    352, Loss  0.861462, Average Loss  0.869965, Time  0.255691
2021-09-11 21:16:20.101399 : Epoch  7, Batch    353, Loss  0.877649, Average Loss  0.869974, Time  0.313126
2021-09-11 21:16:25.634413 : Epoch  7, Batch    354, Loss  0.863525, Average Loss  0.869938, Time  0.385963
2021-09-11 21:16:31.845878 : Epoch  7, Batch    355, Loss  0.866516, Average Loss  0.869942, Time  0.372236
2021-09-11 21:16:37.589931 : Epoch  7, Batch    356, Loss  0.870858, Average Loss  0.869878, Time  0.427932
2021-09-11 21:16:44.698221 : Epoch  7, Batch    357, Loss  0.873112, Average Loss  0.869962, Time  0.283540
2021-09-11 21:16:49.939485 : Epoch  7, Batch    358, Loss  0.899312, Average Loss  0.869995, Time  0.240073
2021-09-11 21:16:55.274809 : Epoch  7, Batch    359, Loss  0.871383, Average Loss  0.870012, Time  0.265239
2021-09-11 21:17:01.613399 : Epoch  7, Batch    360, Loss  0.847150, Average Loss  0.869912, Time  0.382285
2021-09-11 21:17:05.185803 : Epoch  7, Batch    361, Loss  0.860466, Average Loss  0.869870, Time  0.276874
2021-09-11 21:17:10.757771 : Epoch  7, Batch    362, Loss  0.865214, Average Loss  0.869831, Time  0.442559
2021-09-11 21:17:15.920377 : Epoch  7, Batch    363, Loss  0.899044, Average Loss  0.869986, Time  0.334282
2021-09-11 21:17:24.811643 : Epoch  7, Batch    364, Loss  0.870171, Average Loss  0.869895, Time  0.352400
2021-09-11 21:26:55.351030 : CheckPoint: Validation Loss  0.00030121, Best Loss  0.00029019
2021-09-11 21:27:02.393202 : Epoch  7, Batch    365, Loss  0.887465, Average Loss  0.869965, Time  0.324724
2021-09-11 21:27:08.250401 : Epoch  7, Batch    366, Loss  0.886893, Average Loss  0.870067, Time  0.279584
2021-09-11 21:27:13.375429 : Epoch  7, Batch    367, Loss  0.867554, Average Loss  0.870037, Time  0.262069
2021-09-11 21:27:19.382258 : Epoch  7, Batch    368, Loss  0.861237, Average Loss  0.870042, Time  0.324576
2021-09-11 21:27:24.248509 : Epoch  7, Batch    369, Loss  0.883015, Average Loss  0.870080, Time  0.287037
2021-09-11 21:27:28.298493 : Epoch  7, Batch    370, Loss  0.874871, Average Loss  0.870143, Time  0.279572
2021-09-11 21:27:34.396591 : Epoch  7, Batch    371, Loss  0.856694, Average Loss  0.870093, Time  0.349011
2021-09-11 21:27:40.339599 : Epoch  7, Batch    372, Loss  0.841472, Average Loss  0.869944, Time  0.352950
2021-09-11 21:27:45.930440 : Epoch  7, Batch    373, Loss  0.879440, Average Loss  0.870039, Time  0.286500
2021-09-11 21:27:49.952946 : Epoch  7, Batch    374, Loss  0.894343, Average Loss  0.870180, Time  0.286110
2021-09-11 21:27:54.380114 : Epoch  7, Batch    375, Loss  0.878413, Average Loss  0.870248, Time  0.343081
2021-09-11 21:27:59.953920 : Epoch  7, Batch    376, Loss  0.857099, Average Loss  0.870214, Time  0.418352
2021-09-11 21:28:05.607075 : Epoch  7, Batch    377, Loss  0.890679, Average Loss  0.870415, Time  0.315421
2021-09-11 21:28:12.010105 : Epoch  7, Batch    378, Loss  0.867379, Average Loss  0.870308, Time  0.340547
2021-09-11 21:28:17.282371 : Epoch  7, Batch    379, Loss  0.856431, Average Loss  0.870198, Time  0.306250
2021-09-11 21:28:23.733846 : Epoch  7, Batch    380, Loss  0.867226, Average Loss  0.870072, Time  0.290616
2021-09-11 21:28:30.874978 : Epoch  7, Batch    381, Loss  0.866919, Average Loss  0.869933, Time  0.303055
2021-09-11 21:28:37.368577 : Epoch  7, Batch    382, Loss  0.887424, Average Loss  0.870126, Time  0.261715
2021-09-11 21:28:43.918813 : Epoch  7, Batch    383, Loss  0.869693, Average Loss  0.870067, Time  0.326469
2021-09-11 21:28:51.265002 : Epoch  7, Batch    384, Loss  0.885545, Average Loss  0.870084, Time  0.317027
2021-09-11 21:28:56.927762 : Epoch  7, Batch    385, Loss  0.843018, Average Loss  0.870061, Time  0.438961
2021-09-11 21:29:00.837292 : Epoch  7, Batch    386, Loss  0.861910, Average Loss  0.869987, Time  0.443753
2021-09-11 21:29:05.815651 : Epoch  7, Batch    387, Loss  0.873775, Average Loss  0.869979, Time  0.294587
2021-09-11 21:29:11.812438 : Epoch  7, Batch    388, Loss  0.868781, Average Loss  0.870046, Time  0.277426
2021-09-11 21:29:16.746116 : Epoch  7, Batch    389, Loss  0.877940, Average Loss  0.870152, Time  0.240268
2021-09-11 21:29:21.497465 : Epoch  7, Batch    390, Loss  0.876758, Average Loss  0.870324, Time  0.289804
2021-09-11 21:29:25.477888 : Epoch  7, Batch    391, Loss  0.872323, Average Loss  0.870361, Time  0.417529
2021-09-11 21:29:31.755065 : Epoch  7, Batch    392, Loss  0.878490, Average Loss  0.870360, Time  0.434486
2021-09-11 21:29:36.365114 : Epoch  7, Batch    393, Loss  0.870625, Average Loss  0.870335, Time  0.332906
2021-09-11 21:29:40.056907 : Epoch  7, Batch    394, Loss  0.856336, Average Loss  0.870386, Time  0.335129
2021-09-11 21:29:47.812534 : Epoch  7, Batch    395, Loss  0.866154, Average Loss  0.870414, Time  0.290777
2021-09-11 21:29:52.058880 : Epoch  7, Batch    396, Loss  0.867573, Average Loss  0.870473, Time  0.240953
2021-09-11 21:29:56.929061 : Epoch  7, Batch    397, Loss  0.876795, Average Loss  0.870421, Time  0.300481
2021-09-11 21:30:04.886004 : Epoch  7, Batch    398, Loss  0.888941, Average Loss  0.870473, Time  0.367699
2021-09-11 21:30:09.656716 : Epoch  7, Batch    399, Loss  0.866199, Average Loss  0.870508, Time  0.276783
2021-09-11 21:30:15.210919 : Epoch  7, Batch    400, Loss  0.848215, Average Loss  0.870525, Time  0.279928
2021-09-11 21:30:21.050455 : Epoch  7, Batch    401, Loss  0.876310, Average Loss  0.870438, Time  0.397438
2021-09-11 21:30:26.922309 : Epoch  7, Batch    402, Loss  0.861723, Average Loss  0.870301, Time  0.327574
2021-09-11 21:30:32.432063 : Epoch  7, Batch    403, Loss  0.877164, Average Loss  0.870402, Time  0.455519
2021-09-11 21:30:40.968361 : Epoch  7, Batch    404, Loss  0.871737, Average Loss  0.870382, Time  0.314806
2021-09-11 21:30:46.572114 : Epoch  7, Batch    405, Loss  0.845192, Average Loss  0.870272, Time  0.247467
2021-09-11 21:30:52.500305 : Epoch  7, Batch    406, Loss  0.871122, Average Loss  0.870280, Time  0.282042
2021-09-11 21:30:58.752532 : Epoch  7, Batch    407, Loss  0.869133, Average Loss  0.870238, Time  0.285042
2021-09-11 21:31:04.309800 : Epoch  7, Batch    408, Loss  0.868142, Average Loss  0.870180, Time  0.331187
2021-09-11 21:31:10.065734 : Epoch  7, Batch    409, Loss  0.870289, Average Loss  0.870192, Time  0.336004
2021-09-11 21:31:15.603985 : Epoch  7, Batch    410, Loss  0.851768, Average Loss  0.870105, Time  0.245198
2021-09-11 21:31:20.294867 : Epoch  7, Batch    411, Loss  0.884119, Average Loss  0.870295, Time  0.259118
2021-09-11 21:31:25.330571 : Epoch  7, Batch    412, Loss  0.890579, Average Loss  0.870377, Time  0.295937
2021-09-11 21:31:31.833264 : Epoch  7, Batch    413, Loss  0.833699, Average Loss  0.870218, Time  0.349627
2021-09-11 21:31:37.974304 : Epoch  7, Batch    414, Loss  0.885770, Average Loss  0.870259, Time  0.245636
2021-09-11 21:31:42.944013 : Epoch  7, Batch    415, Loss  0.868339, Average Loss  0.870275, Time  0.281563
2021-09-11 21:31:49.339888 : Epoch  7, Batch    416, Loss  0.883874, Average Loss  0.870316, Time  0.269293
2021-09-11 21:31:55.080220 : Epoch  7, Batch    417, Loss  0.875678, Average Loss  0.870283, Time  0.304405
2021-09-11 21:32:01.129593 : Epoch  7, Batch    418, Loss  0.866658, Average Loss  0.870313, Time  0.344418
2021-09-11 21:32:09.099169 : Epoch  7, Batch    419, Loss  0.846272, Average Loss  0.870255, Time  0.399946
2021-09-11 21:32:15.707213 : Epoch  7, Batch    420, Loss  0.896866, Average Loss  0.870347, Time  0.241744
2021-09-11 21:32:21.553906 : Epoch  7, Batch    421, Loss  0.862739, Average Loss  0.870176, Time  0.261215
2021-09-11 21:32:28.074450 : Epoch  7, Batch    422, Loss  0.878587, Average Loss  0.870192, Time  0.240949
2021-09-11 21:32:31.717318 : Epoch  7, Batch    423, Loss  0.876072, Average Loss  0.870286, Time  0.293737
2021-09-11 21:32:37.308142 : Epoch  7, Batch    424, Loss  0.880637, Average Loss  0.870327, Time  0.390050
2021-09-11 21:32:42.350066 : Epoch  7, Batch    425, Loss  0.856606, Average Loss  0.870263, Time  0.359596
2021-09-11 21:32:46.979042 : Epoch  7, Batch    426, Loss  0.858815, Average Loss  0.870249, Time  0.260132
2021-09-11 21:32:54.539104 : Epoch  7, Batch    427, Loss  0.853933, Average Loss  0.870214, Time  0.352886
2021-09-11 21:33:00.338383 : Epoch  7, Batch    428, Loss  0.878990, Average Loss  0.870276, Time  0.281650
2021-09-11 21:33:05.697478 : Epoch  7, Batch    429, Loss  0.848751, Average Loss  0.870092, Time  0.268411
2021-09-11 21:33:10.521374 : Epoch  7, Batch    430, Loss  0.860162, Average Loss  0.870087, Time  0.260354
2021-09-11 21:33:16.912965 : Epoch  7, Batch    431, Loss  0.853183, Average Loss  0.869896, Time  0.290595
2021-09-11 21:33:21.738830 : Epoch  7, Batch    432, Loss  0.859008, Average Loss  0.869934, Time  0.287666
2021-09-11 21:33:27.249203 : Epoch  7, Batch    433, Loss  0.867601, Average Loss  0.869808, Time  0.384661
2021-09-11 21:33:32.572550 : Epoch  7, Batch    434, Loss  0.869942, Average Loss  0.869728, Time  0.276407
2021-09-11 21:33:39.086042 : Epoch  7, Batch    435, Loss  0.853826, Average Loss  0.869596, Time  0.258904
2021-09-11 21:33:46.423231 : Epoch  7, Batch    436, Loss  0.873772, Average Loss  0.869698, Time  0.366042
2021-09-11 21:33:52.362113 : Epoch  7, Batch    437, Loss  0.871881, Average Loss  0.869733, Time  0.323829
2021-09-11 21:33:57.637213 : Epoch  7, Batch    438, Loss  0.881083, Average Loss  0.869847, Time  0.290763
2021-09-11 21:34:02.965327 : Epoch  7, Batch    439, Loss  0.865874, Average Loss  0.869855, Time  0.240448
2021-09-11 21:34:09.109327 : Epoch  7, Batch    440, Loss  0.862370, Average Loss  0.869862, Time  0.336046
2021-09-11 21:34:15.197095 : Epoch  7, Batch    441, Loss  0.878923, Average Loss  0.869897, Time  0.268296
2021-09-11 21:34:17.910450 : Epoch  7, Batch    442, Loss  0.854841, Average Loss  0.869738, Time  0.292038
2021-09-11 21:34:25.473176 : Epoch  7, Batch    443, Loss  0.887608, Average Loss  0.869795, Time  0.356280
2021-09-11 21:34:30.408540 : Epoch  7, Batch    444, Loss  0.869956, Average Loss  0.869794, Time  0.347236
2021-09-11 21:34:35.644818 : Epoch  7, Batch    445, Loss  0.860267, Average Loss  0.869743, Time  0.294047
2021-09-11 21:34:41.018860 : Epoch  7, Batch    446, Loss  0.867731, Average Loss  0.869709, Time  0.292891
2021-09-11 21:34:47.934934 : Epoch  7, Batch    447, Loss  0.859423, Average Loss  0.869605, Time  0.328296
2021-09-11 21:34:51.641964 : Epoch  7, Batch    448, Loss  0.845097, Average Loss  0.869493, Time  0.251180
2021-09-11 21:34:56.476125 : Epoch  7, Batch    449, Loss  0.849759, Average Loss  0.869401, Time  0.348101
2021-09-11 21:35:02.356306 : Epoch  7, Batch    450, Loss  0.835767, Average Loss  0.869193, Time  0.373785
2021-09-11 21:35:08.561077 : Epoch  7, Batch    451, Loss  0.871708, Average Loss  0.869223, Time  0.279712
2021-09-11 21:35:11.823395 : Epoch  7, Batch    452, Loss  0.869857, Average Loss  0.869203, Time  0.282410
2021-09-11 21:35:18.456111 : Epoch  7, Batch    453, Loss  0.865742, Average Loss  0.869169, Time  0.385081
2021-09-11 21:35:22.503031 : Epoch  7, Batch    454, Loss  0.877986, Average Loss  0.869272, Time  0.251351
2021-09-11 21:35:28.765357 : Epoch  7, Batch    455, Loss  0.876180, Average Loss  0.869348, Time  0.304451
2021-09-11 21:35:34.659824 : Epoch  7, Batch    456, Loss  0.880242, Average Loss  0.869369, Time  0.302597
2021-09-11 21:35:40.185122 : Epoch  7, Batch    457, Loss  0.863748, Average Loss  0.869280, Time  0.292721
2021-09-11 21:35:45.395691 : Epoch  7, Batch    458, Loss  0.891371, Average Loss  0.869394, Time  0.546390
2021-09-11 21:35:51.834937 : Epoch  7, Batch    459, Loss  0.871634, Average Loss  0.869447, Time  0.389191
2021-09-11 21:35:58.995017 : Epoch  7, Batch    460, Loss  0.881111, Average Loss  0.869475, Time  0.537108
2021-09-11 21:36:05.297426 : Epoch  7, Batch    461, Loss  0.866643, Average Loss  0.869528, Time  0.326311
2021-09-11 21:36:12.816063 : Epoch  7, Batch    462, Loss  0.871605, Average Loss  0.869640, Time  0.356292
2021-09-11 21:36:20.862313 : Epoch  7, Batch    463, Loss  0.865842, Average Loss  0.869491, Time  0.277386
2021-09-11 21:36:27.242268 : Epoch  7, Batch    464, Loss  0.869827, Average Loss  0.869418, Time  0.391808
2021-09-11 21:45:14.180238 : CheckPoint: Validation Loss  0.00030193, Best Loss  0.00029019
2021-09-11 21:45:20.199924 : Epoch  7, Batch    465, Loss  0.876613, Average Loss  0.869441, Time  0.308157
2021-09-11 21:45:25.690819 : Epoch  7, Batch    466, Loss  0.870065, Average Loss  0.869374, Time  0.300154
2021-09-11 21:45:28.628128 : Epoch  7, Batch    467, Loss  0.865036, Average Loss  0.869355, Time  0.271264
2021-09-11 21:45:36.226346 : Epoch  7, Batch    468, Loss  0.883756, Average Loss  0.869443, Time  0.510139
2021-09-11 21:45:41.837035 : Epoch  7, Batch    469, Loss  0.867898, Average Loss  0.869533, Time  0.317808
2021-09-11 21:45:48.650298 : Epoch  7, Batch    470, Loss  0.856268, Average Loss  0.869370, Time  0.399908
2021-09-11 21:45:54.816407 : Epoch  7, Batch    471, Loss  0.893309, Average Loss  0.869483, Time  0.289432
2021-09-11 21:46:02.228484 : Epoch  7, Batch    472, Loss  0.870092, Average Loss  0.869418, Time  0.285115
2021-09-11 21:46:07.927858 : Epoch  7, Batch    473, Loss  0.870410, Average Loss  0.869381, Time  0.353402
2021-09-11 21:46:16.304850 : Epoch  7, Batch    474, Loss  0.871540, Average Loss  0.869423, Time  0.311051
2021-09-11 21:46:20.898848 : Epoch  7, Batch    475, Loss  0.864646, Average Loss  0.869203, Time  0.302335
2021-09-11 21:46:26.566043 : Epoch  7, Batch    476, Loss  0.855763, Average Loss  0.869109, Time  0.329526
2021-09-11 21:46:31.790038 : Epoch  7, Batch    477, Loss  0.855609, Average Loss  0.869174, Time  0.278827
2021-09-11 21:46:35.701464 : Epoch  7, Batch    478, Loss  0.854028, Average Loss  0.869123, Time  0.238971
2021-09-11 21:46:40.010056 : Epoch  7, Batch    479, Loss  0.851824, Average Loss  0.869067, Time  0.340862
2021-09-11 21:46:45.880778 : Epoch  7, Batch    480, Loss  0.882740, Average Loss  0.869262, Time  0.282329
2021-09-11 21:46:51.952803 : Epoch  7, Batch    481, Loss  0.853124, Average Loss  0.869098, Time  0.326150
2021-09-11 21:46:57.326347 : Epoch  7, Batch    482, Loss  0.861444, Average Loss  0.869139, Time  0.283311
2021-09-11 21:47:05.664027 : Epoch  7, Batch    483, Loss  0.888474, Average Loss  0.869250, Time  0.415940
2021-09-11 21:47:11.157609 : Epoch  7, Batch    484, Loss  0.874117, Average Loss  0.869273, Time  0.251982
2021-09-11 21:47:16.913368 : Epoch  7, Batch    485, Loss  0.855499, Average Loss  0.869190, Time  0.257494
2021-09-11 21:47:22.316221 : Epoch  7, Batch    486, Loss  0.858406, Average Loss  0.869075, Time  0.356041
2021-09-11 21:47:28.218979 : Epoch  7, Batch    487, Loss  0.867578, Average Loss  0.869066, Time  0.282592
2021-09-11 21:47:32.607653 : Epoch  7, Batch    488, Loss  0.875706, Average Loss  0.869117, Time  0.287650
2021-09-11 21:47:37.237248 : Epoch  7, Batch    489, Loss  0.888741, Average Loss  0.869191, Time  0.266157
2021-09-11 21:47:40.903463 : Epoch  7, Batch    490, Loss  0.845432, Average Loss  0.869129, Time  0.263815
2021-09-11 21:47:46.210976 : Epoch  7, Batch    491, Loss  0.861744, Average Loss  0.869153, Time  0.239854
2021-09-11 21:47:49.070438 : Epoch  7, Batch    492, Loss  0.865395, Average Loss  0.869099, Time  0.238530
2021-09-11 21:47:52.446806 : Epoch  7, Batch    493, Loss  0.877440, Average Loss  0.869191, Time  0.239765
2021-09-11 21:47:56.405149 : Epoch  7, Batch    494, Loss  0.863582, Average Loss  0.869165, Time  0.257357
2021-09-11 21:48:02.020098 : Epoch  7, Batch    495, Loss  0.869840, Average Loss  0.869154, Time  0.305592
2021-09-11 21:48:07.038222 : Epoch  7, Batch    496, Loss  0.886433, Average Loss  0.869245, Time  0.272165
2021-09-11 21:48:11.325634 : Epoch  7, Batch    497, Loss  0.853622, Average Loss  0.869173, Time  0.254174
2021-09-11 21:48:17.350135 : Epoch  7, Batch    498, Loss  0.852610, Average Loss  0.869097, Time  0.342415
2021-09-11 21:48:23.679874 : Epoch  7, Batch    499, Loss  0.856997, Average Loss  0.869014, Time  0.318588
2021-09-11 21:48:31.735426 : Epoch  7, Batch    500, Loss  0.875865, Average Loss  0.869121, Time  0.299135
2021-09-11 21:48:38.059722 : Epoch  7, Batch    501, Loss  0.848149, Average Loss  0.869013, Time  0.290650
2021-09-11 21:48:44.423026 : Epoch  7, Batch    502, Loss  0.876808, Average Loss  0.868937, Time  0.424733
2021-09-11 21:48:50.704321 : Epoch  7, Batch    503, Loss  0.861173, Average Loss  0.868943, Time  0.272648
2021-09-11 21:48:57.184636 : Epoch  7, Batch    504, Loss  0.867269, Average Loss  0.868800, Time  0.261454
2021-09-11 21:49:03.196348 : Epoch  7, Batch    505, Loss  0.865477, Average Loss  0.868696, Time  0.359735
2021-09-11 21:49:10.947170 : Epoch  7, Batch    506, Loss  0.884500, Average Loss  0.868818, Time  0.390144
2021-09-11 21:49:16.100851 : Epoch  7, Batch    507, Loss  0.866146, Average Loss  0.868880, Time  0.538998
2021-09-11 21:49:19.965015 : Epoch  7, Batch    508, Loss  0.871040, Average Loss  0.868911, Time  0.312818
2021-09-11 21:49:25.551485 : Epoch  7, Batch    509, Loss  0.870481, Average Loss  0.868989, Time  0.302596
2021-09-11 21:49:30.031252 : Epoch  7, Batch    510, Loss  0.865579, Average Loss  0.869047, Time  0.343323
2021-09-11 21:49:36.859183 : Epoch  7, Batch    511, Loss  0.882106, Average Loss  0.869080, Time  0.260504
2021-09-11 21:49:42.116255 : Epoch  7, Batch    512, Loss  0.849722, Average Loss  0.869064, Time  0.302184
2021-09-11 21:49:46.065989 : Epoch  7, Batch    513, Loss  0.867601, Average Loss  0.869018, Time  0.366348
2021-09-11 21:49:51.090122 : Epoch  7, Batch    514, Loss  0.872607, Average Loss  0.869037, Time  0.440459
2021-09-11 21:49:57.683273 : Epoch  7, Batch    515, Loss  0.881360, Average Loss  0.869084, Time  0.366910
2021-09-11 21:50:04.063494 : Epoch  7, Batch    516, Loss  0.870418, Average Loss  0.869127, Time  0.296717
2021-09-11 21:50:09.306906 : Epoch  7, Batch    517, Loss  0.865474, Average Loss  0.869061, Time  0.328231
2021-09-11 21:50:13.994963 : Epoch  7, Batch    518, Loss  0.879997, Average Loss  0.869196, Time  0.482660
2021-09-11 21:50:22.095454 : Epoch  7, Batch    519, Loss  0.866383, Average Loss  0.869148, Time  0.439344
2021-09-11 21:50:25.728146 : Epoch  7, Batch    520, Loss  0.851152, Average Loss  0.869013, Time  0.332707
2021-09-11 21:50:32.755865 : Epoch  7, Batch    521, Loss  0.869785, Average Loss  0.868997, Time  0.292993
2021-09-11 21:50:37.122257 : Epoch  7, Batch    522, Loss  0.852534, Average Loss  0.868863, Time  0.287499
2021-09-11 21:50:43.568204 : Epoch  7, Batch    523, Loss  0.874083, Average Loss  0.868840, Time  0.297627
2021-09-11 21:50:48.970408 : Epoch  7, Batch    524, Loss  0.872097, Average Loss  0.868839, Time  0.365320
2021-09-11 21:50:57.216227 : Epoch  7, Batch    525, Loss  0.870883, Average Loss  0.868791, Time  0.527501
2021-09-11 21:51:01.965864 : Epoch  7, Batch    526, Loss  0.879073, Average Loss  0.868883, Time  0.412239
2021-09-11 21:51:07.388511 : Epoch  7, Batch    527, Loss  0.864856, Average Loss  0.868750, Time  0.249579
2021-09-11 21:51:15.065149 : Epoch  7, Batch    528, Loss  0.882677, Average Loss  0.868879, Time  0.412536
2021-09-11 21:51:22.065110 : Epoch  7, Batch    529, Loss  0.885633, Average Loss  0.868890, Time  0.306994
2021-09-11 21:51:28.531493 : Epoch  7, Batch    530, Loss  0.865382, Average Loss  0.868757, Time  0.547517
2021-09-11 21:51:33.986400 : Epoch  7, Batch    531, Loss  0.900247, Average Loss  0.869097, Time  0.291714
2021-09-11 21:51:39.397166 : Epoch  7, Batch    532, Loss  0.885661, Average Loss  0.869277, Time  0.263055
2021-09-11 21:51:45.303875 : Epoch  7, Batch    533, Loss  0.860364, Average Loss  0.869241, Time  0.284065
2021-09-11 21:51:52.186091 : Epoch  7, Batch    534, Loss  0.853095, Average Loss  0.869100, Time  0.245950
2021-09-11 21:51:59.380943 : Epoch  7, Batch    535, Loss  0.856371, Average Loss  0.869075, Time  0.300541
2021-09-11 21:52:04.541754 : Epoch  7, Batch    536, Loss  0.865990, Average Loss  0.869050, Time  0.300312
2021-09-11 21:52:09.642945 : Epoch  7, Batch    537, Loss  0.873881, Average Loss  0.869114, Time  0.319209
2021-09-11 21:52:14.551161 : Epoch  7, Batch    538, Loss  0.858961, Average Loss  0.869050, Time  0.357803
2021-09-11 21:52:20.761172 : Epoch  7, Batch    539, Loss  0.878450, Average Loss  0.869137, Time  0.279896
2021-09-11 21:52:26.261357 : Epoch  7, Batch    540, Loss  0.857400, Average Loss  0.869100, Time  0.264138
2021-09-11 21:52:31.257779 : Epoch  7, Batch    541, Loss  0.873649, Average Loss  0.869068, Time  0.311114
2021-09-11 21:52:38.950194 : Epoch  7, Batch    542, Loss  0.858809, Average Loss  0.869063, Time  0.294164
2021-09-11 21:52:44.470929 : Epoch  7, Batch    543, Loss  0.876411, Average Loss  0.869159, Time  0.303245
2021-09-11 21:52:50.223006 : Epoch  7, Batch    544, Loss  0.835719, Average Loss  0.868847, Time  0.310825
2021-09-11 21:52:58.143496 : Epoch  7, Batch    545, Loss  0.878129, Average Loss  0.868903, Time  0.292649
2021-09-11 21:53:01.588384 : Epoch  7, Batch    546, Loss  0.869116, Average Loss  0.868823, Time  0.367725
2021-09-11 21:53:07.428896 : Epoch  7, Batch    547, Loss  0.893412, Average Loss  0.868940, Time  0.431577
2021-09-11 21:53:12.912996 : Epoch  7, Batch    548, Loss  0.877469, Average Loss  0.868909, Time  0.294548
2021-09-11 21:53:20.099982 : Epoch  7, Batch    549, Loss  0.879074, Average Loss  0.868915, Time  0.383821
2021-09-11 21:53:27.525016 : Epoch  7, Batch    550, Loss  0.871847, Average Loss  0.868998, Time  0.287563
2021-09-11 21:53:32.171028 : Epoch  7, Batch    551, Loss  0.863725, Average Loss  0.868952, Time  0.316058
2021-09-11 21:53:37.839935 : Epoch  7, Batch    552, Loss  0.880934, Average Loss  0.869050, Time  0.520798
2021-09-11 21:53:44.153378 : Epoch  7, Batch    553, Loss  0.886223, Average Loss  0.869093, Time  0.337864
2021-09-11 21:53:47.223094 : Epoch  7, Batch    554, Loss  0.891553, Average Loss  0.869233, Time  0.265358
2021-09-11 21:53:50.714327 : Epoch  7, Batch    555, Loss  0.866411, Average Loss  0.869232, Time  0.316945
2021-09-11 21:53:55.252627 : Epoch  7, Batch    556, Loss  0.873757, Average Loss  0.869247, Time  0.271891
2021-09-11 21:53:59.542511 : Epoch  7, Batch    557, Loss  0.879388, Average Loss  0.869278, Time  0.341564
2021-09-11 21:54:05.046322 : Epoch  7, Batch    558, Loss  0.865076, Average Loss  0.869107, Time  0.302087
2021-09-11 21:54:11.615249 : Epoch  7, Batch    559, Loss  0.853974, Average Loss  0.869020, Time  0.323429
2021-09-11 21:54:15.137386 : Epoch  7, Batch    560, Loss  0.856818, Average Loss  0.869068, Time  0.244276
2021-09-11 21:54:21.204589 : Epoch  7, Batch    561, Loss  0.870462, Average Loss  0.869118, Time  0.284912
2021-09-11 21:54:26.177505 : Epoch  7, Batch    562, Loss  0.879645, Average Loss  0.869190, Time  0.292538
2021-09-11 21:54:33.387931 : Epoch  7, Batch    563, Loss  0.865559, Average Loss  0.869023, Time  0.276164
2021-09-11 21:54:39.396811 : Epoch  7, Batch    564, Loss  0.883618, Average Loss  0.869090, Time  0.291118
2021-09-11 22:03:36.598830 : CheckPoint: Validation Loss  0.00029759, Best Loss  0.00029019
2021-09-11 22:03:42.898621 : Epoch  7, Batch    565, Loss  0.882349, Average Loss  0.869065, Time  0.318261
2021-09-11 22:03:48.919220 : Epoch  7, Batch    566, Loss  0.868591, Average Loss  0.868973, Time  0.326627
2021-09-11 22:03:54.191681 : Epoch  7, Batch    567, Loss  0.871188, Average Loss  0.868991, Time  0.403773
2021-09-11 22:03:59.199817 : Epoch  7, Batch    568, Loss  0.864660, Average Loss  0.869008, Time  0.450939
2021-09-11 22:04:06.307481 : Epoch  7, Batch    569, Loss  0.866148, Average Loss  0.868924, Time  0.354505
2021-09-11 22:04:11.571361 : Epoch  7, Batch    570, Loss  0.888868, Average Loss  0.868994, Time  0.288851
2021-09-11 22:04:16.849517 : Epoch  7, Batch    571, Loss  0.880561, Average Loss  0.869113, Time  0.336336
2021-09-11 22:04:22.053445 : Epoch  7, Batch    572, Loss  0.869208, Average Loss  0.869252, Time  0.241545
2021-09-11 22:04:27.090591 : Epoch  7, Batch    573, Loss  0.872479, Average Loss  0.869217, Time  0.282653
2021-09-11 22:04:32.861875 : Epoch  7, Batch    574, Loss  0.881793, Average Loss  0.869155, Time  0.397590
2021-09-11 22:04:38.655879 : Epoch  7, Batch    575, Loss  0.863341, Average Loss  0.869079, Time  0.421474
2021-09-11 22:04:43.228506 : Epoch  7, Batch    576, Loss  0.851312, Average Loss  0.869050, Time  0.317267
2021-09-11 22:04:50.653306 : Epoch  7, Batch    577, Loss  0.884519, Average Loss  0.869019, Time  0.276475
2021-09-11 22:04:56.639930 : Epoch  7, Batch    578, Loss  0.864213, Average Loss  0.869004, Time  0.304440
2021-09-11 22:05:01.770016 : Epoch  7, Batch    579, Loss  0.874993, Average Loss  0.869096, Time  0.323089
2021-09-11 22:05:07.028254 : Epoch  7, Batch    580, Loss  0.864342, Average Loss  0.869082, Time  0.268746
2021-09-11 22:05:15.444301 : Epoch  7, Batch    581, Loss  0.859848, Average Loss  0.869047, Time  0.334578
2021-09-11 22:05:21.577625 : Epoch  7, Batch    582, Loss  0.860239, Average Loss  0.868911, Time  0.321641
2021-09-11 22:05:29.492854 : Epoch  7, Batch    583, Loss  0.853363, Average Loss  0.868829, Time  0.495552
2021-09-11 22:05:34.029175 : Epoch  7, Batch    584, Loss  0.868965, Average Loss  0.868746, Time  0.340840
2021-09-11 22:05:40.725832 : Epoch  7, Batch    585, Loss  0.885432, Average Loss  0.868958, Time  0.333591
2021-09-11 22:05:48.862062 : Epoch  7, Batch    586, Loss  0.869421, Average Loss  0.868996, Time  0.274109
2021-09-11 22:05:55.652048 : Epoch  7, Batch    587, Loss  0.852869, Average Loss  0.868891, Time  0.365320
2021-09-11 22:06:01.908570 : Epoch  7, Batch    588, Loss  0.863015, Average Loss  0.868862, Time  0.331342
2021-09-11 22:06:05.568098 : Epoch  7, Batch    589, Loss  0.863514, Average Loss  0.868790, Time  0.303050
2021-09-11 22:06:10.073011 : Epoch  7, Batch    590, Loss  0.866418, Average Loss  0.868739, Time  0.295699
2021-09-11 22:06:15.464443 : Epoch  7, Batch    591, Loss  0.887529, Average Loss  0.868815, Time  0.394985
2021-09-11 22:06:20.684305 : Epoch  7, Batch    592, Loss  0.842972, Average Loss  0.868637, Time  0.314982
2021-09-11 22:06:27.528965 : Epoch  7, Batch    593, Loss  0.887282, Average Loss  0.868720, Time  0.477863
2021-09-11 22:06:34.874310 : Epoch  7, Batch    594, Loss  0.860026, Average Loss  0.868739, Time  0.239442
2021-09-11 22:06:38.702424 : Epoch  7, Batch    595, Loss  0.883297, Average Loss  0.868825, Time  0.311954
2021-09-11 22:06:42.787083 : Epoch  7, Batch    596, Loss  0.862289, Average Loss  0.868798, Time  0.276721
2021-09-11 22:06:49.366722 : Epoch  7, Batch    597, Loss  0.855798, Average Loss  0.868693, Time  0.405123
2021-09-11 22:06:53.748808 : Epoch  7, Batch    598, Loss  0.879605, Average Loss  0.868646, Time  0.266156
2021-09-11 22:06:58.839279 : Epoch  7, Batch    599, Loss  0.857403, Average Loss  0.868602, Time  0.274354
2021-09-11 22:07:03.735160 : Epoch  7, Batch    600, Loss  0.874292, Average Loss  0.868733, Time  0.240152
2021-09-11 22:07:10.997373 : Epoch  7, Batch    601, Loss  0.860610, Average Loss  0.868654, Time  0.367221
2021-09-11 22:07:16.901062 : Epoch  7, Batch    602, Loss  0.850676, Average Loss  0.868599, Time  0.333100
2021-09-11 22:07:21.138393 : Epoch  7, Batch    603, Loss  0.853037, Average Loss  0.868478, Time  0.364647
2021-09-11 22:07:27.566868 : Epoch  7, Batch    604, Loss  0.872854, Average Loss  0.868484, Time  0.392579
2021-09-11 22:07:33.504818 : Epoch  7, Batch    605, Loss  0.863121, Average Loss  0.868574, Time  0.461219
2021-09-11 22:07:39.165772 : Epoch  7, Batch    606, Loss  0.857569, Average Loss  0.868506, Time  0.261947
2021-09-11 22:07:42.741635 : Epoch  7, Batch    607, Loss  0.872381, Average Loss  0.868522, Time  0.262481
2021-09-11 22:07:48.013173 : Epoch  7, Batch    608, Loss  0.864624, Average Loss  0.868505, Time  0.275363
2021-09-11 22:07:54.981107 : Epoch  7, Batch    609, Loss  0.870638, Average Loss  0.868506, Time  0.256646
2021-09-11 22:07:59.850149 : Epoch  7, Batch    610, Loss  0.873569, Average Loss  0.868615, Time  0.276158
2021-09-11 22:08:05.225828 : Epoch  7, Batch    611, Loss  0.875009, Average Loss  0.868570, Time  0.238873
2021-09-11 22:08:09.445239 : Epoch  7, Batch    612, Loss  0.867801, Average Loss  0.868456, Time  0.380234
2021-09-11 22:08:14.634955 : Epoch  7, Batch    613, Loss  0.860051, Average Loss  0.868588, Time  0.280627
2021-09-11 22:08:19.015865 : Epoch  7, Batch    614, Loss  0.884078, Average Loss  0.868579, Time  0.296004
2021-09-11 22:08:24.904330 : Epoch  7, Batch    615, Loss  0.858573, Average Loss  0.868530, Time  0.306139
2021-09-11 22:08:31.721360 : Epoch  7, Batch    616, Loss  0.859570, Average Loss  0.868409, Time  0.444920
2021-09-11 22:08:35.996866 : Epoch  7, Batch    617, Loss  0.865635, Average Loss  0.868359, Time  0.303700
2021-09-11 22:08:40.231365 : Epoch  7, Batch    618, Loss  0.847199, Average Loss  0.868261, Time  0.257962
2021-09-11 22:08:44.338748 : Epoch  7, Batch    619, Loss  0.876079, Average Loss  0.868410, Time  0.302280
2021-09-11 22:08:48.774815 : Epoch  7, Batch    620, Loss  0.858792, Average Loss  0.868220, Time  0.341773
2021-09-11 22:08:54.430269 : Epoch  7, Batch    621, Loss  0.871110, Average Loss  0.868262, Time  0.258609
2021-09-11 22:08:58.732051 : Epoch  7, Batch    622, Loss  0.846529, Average Loss  0.868102, Time  0.254138
2021-09-11 22:09:03.824586 : Epoch  7, Batch    623, Loss  0.861238, Average Loss  0.868027, Time  0.252733
2021-09-11 22:09:09.908201 : Epoch  7, Batch    624, Loss  0.873272, Average Loss  0.867991, Time  0.318196
2021-09-11 22:09:14.327483 : Epoch  7, Batch    625, Loss  0.856435, Average Loss  0.867990, Time  0.308731
2021-09-11 22:09:19.541531 : Epoch  7, Batch    626, Loss  0.873659, Average Loss  0.868064, Time  0.351778
2021-09-11 22:09:25.916907 : Epoch  7, Batch    627, Loss  0.863093, Average Loss  0.868110, Time  0.328025
2021-09-11 22:09:30.924147 : Epoch  7, Batch    628, Loss  0.873989, Average Loss  0.868085, Time  0.262093
2021-09-11 22:09:36.280596 : Epoch  7, Batch    629, Loss  0.864902, Average Loss  0.868165, Time  0.315443
2021-09-11 22:09:40.385901 : Epoch  7, Batch    630, Loss  0.869862, Average Loss  0.868214, Time  0.241866
2021-09-11 22:09:46.285475 : Epoch  7, Batch    631, Loss  0.855094, Average Loss  0.868224, Time  0.348121
2021-09-11 22:09:51.590046 : Epoch  7, Batch    632, Loss  0.867830, Average Loss  0.868268, Time  0.239872
2021-09-11 22:09:58.309329 : Epoch  7, Batch    633, Loss  0.886406, Average Loss  0.868362, Time  0.366232
2021-09-11 22:10:03.512383 : Epoch  7, Batch    634, Loss  0.852445, Average Loss  0.868274, Time  0.286161
2021-09-11 22:10:08.059320 : Epoch  7, Batch    635, Loss  0.862042, Average Loss  0.868315, Time  0.271234
2021-09-11 22:10:14.857337 : Epoch  7, Batch    636, Loss  0.854300, Average Loss  0.868218, Time  0.279609
2021-09-11 22:10:19.099132 : Epoch  7, Batch    637, Loss  0.878097, Average Loss  0.868249, Time  0.270084
2021-09-11 22:10:25.620294 : Epoch  7, Batch    638, Loss  0.874285, Average Loss  0.868215, Time  0.328395
2021-09-11 22:10:32.892391 : Epoch  7, Batch    639, Loss  0.871022, Average Loss  0.868241, Time  0.434134
2021-09-11 22:10:38.675989 : Epoch  7, Batch    640, Loss  0.862861, Average Loss  0.868243, Time  0.290314
2021-09-11 22:10:44.946916 : Epoch  7, Batch    641, Loss  0.894514, Average Loss  0.868321, Time  0.318476
2021-09-11 22:10:48.946031 : Epoch  7, Batch    642, Loss  0.860568, Average Loss  0.868350, Time  0.319882
2021-09-11 22:10:54.248088 : Epoch  7, Batch    643, Loss  0.870159, Average Loss  0.868263, Time  0.312280
2021-09-11 22:11:01.255411 : Epoch  7, Batch    644, Loss  0.861033, Average Loss  0.868218, Time  0.507864
2021-09-11 22:11:10.621124 : Epoch  7, Batch    645, Loss  0.849026, Average Loss  0.868162, Time  0.362054
2021-09-11 22:11:16.841212 : Epoch  7, Batch    646, Loss  0.866645, Average Loss  0.868156, Time  0.341070
2021-09-11 22:11:23.656883 : Epoch  7, Batch    647, Loss  0.854889, Average Loss  0.868134, Time  0.369159
2021-09-11 22:11:30.156109 : Epoch  7, Batch    648, Loss  0.870202, Average Loss  0.868259, Time  0.351051
2021-09-11 22:11:37.734637 : Epoch  7, Batch    649, Loss  0.847962, Average Loss  0.868250, Time  0.319834
2021-09-11 22:11:42.560202 : Epoch  7, Batch    650, Loss  0.859673, Average Loss  0.868370, Time  0.256973
2021-09-11 22:11:49.307024 : Epoch  7, Batch    651, Loss  0.862820, Average Loss  0.868325, Time  0.364765
2021-09-11 22:11:54.672357 : Epoch  7, Batch    652, Loss  0.861766, Average Loss  0.868285, Time  0.385010
2021-09-11 22:12:02.671025 : Epoch  7, Batch    653, Loss  0.874361, Average Loss  0.868328, Time  0.356495
2021-09-11 22:12:10.385266 : Epoch  7, Batch    654, Loss  0.860258, Average Loss  0.868239, Time  0.388560
2021-09-11 22:12:15.287174 : Epoch  7, Batch    655, Loss  0.878526, Average Loss  0.868251, Time  0.310435
2021-09-11 22:12:21.408194 : Epoch  7, Batch    656, Loss  0.867149, Average Loss  0.868185, Time  0.268739
2021-09-11 22:12:31.105349 : Epoch  7, Batch    657, Loss  0.858607, Average Loss  0.868160, Time  0.401354
2021-09-11 22:12:38.984464 : Epoch  7, Batch    658, Loss  0.874548, Average Loss  0.868076, Time  0.333173
2021-09-11 22:12:46.593598 : Epoch  7, Batch    659, Loss  0.866585, Average Loss  0.868050, Time  0.333405
2021-09-11 22:12:49.788294 : Epoch  7, Batch    660, Loss  0.869743, Average Loss  0.867994, Time  0.312911
2021-09-11 22:12:57.100417 : Epoch  7, Batch    661, Loss  0.869231, Average Loss  0.868007, Time  0.279012
2021-09-11 22:13:07.000814 : Epoch  7, Batch    662, Loss  0.873247, Average Loss  0.868015, Time  0.498411
2021-09-11 22:13:13.988706 : Epoch  7, Batch    663, Loss  0.867046, Average Loss  0.868021, Time  0.358775
2021-09-11 22:13:22.628858 : Epoch  7, Batch    664, Loss  0.873266, Average Loss  0.868038, Time  0.252745
2021-09-11 22:27:57.764877 : CheckPoint: Validation Loss  0.00029167, Best Loss  0.00029019
2021-09-11 22:28:03.665215 : Epoch  7, Batch    665, Loss  0.880557, Average Loss  0.868058, Time  0.397532
2021-09-11 22:28:12.615857 : Epoch  7, Batch    666, Loss  0.869904, Average Loss  0.868057, Time  0.349754
2021-09-11 22:28:19.237276 : Epoch  7, Batch    667, Loss  0.882971, Average Loss  0.868147, Time  0.390630
2021-09-11 22:28:29.216929 : Epoch  7, Batch    668, Loss  0.875925, Average Loss  0.868107, Time  0.360874
2021-09-11 22:28:39.663379 : Epoch  7, Batch    669, Loss  0.880890, Average Loss  0.868172, Time  0.351973
2021-09-11 22:28:44.937601 : Epoch  7, Batch    670, Loss  0.879796, Average Loss  0.868290, Time  0.416411
2021-09-11 22:28:54.551596 : Epoch  7, Batch    671, Loss  0.856527, Average Loss  0.868106, Time  0.456142
2021-09-11 22:29:04.392053 : Epoch  7, Batch    672, Loss  0.876364, Average Loss  0.868137, Time  0.520871
2021-09-11 22:29:11.168112 : Epoch  7, Batch    673, Loss  0.861346, Average Loss  0.868092, Time  0.550285
2021-09-11 22:29:22.477838 : Epoch  7, Batch    674, Loss  0.889140, Average Loss  0.868180, Time  0.376490
2021-09-11 22:29:30.952476 : Epoch  7, Batch    675, Loss  0.848707, Average Loss  0.868100, Time  0.415113
2021-09-11 22:29:40.953142 : Epoch  7, Batch    676, Loss  0.858798, Average Loss  0.868116, Time  0.309405
2021-09-11 22:29:51.364186 : Epoch  7, Batch    677, Loss  0.862656, Average Loss  0.868151, Time  0.276734
2021-09-11 22:30:01.592060 : Epoch  7, Batch    678, Loss  0.861630, Average Loss  0.868189, Time  0.451495
2021-09-11 22:30:09.119276 : Epoch  7, Batch    679, Loss  0.869679, Average Loss  0.868278, Time  0.419879
2021-09-11 22:30:20.032560 : Epoch  7, Batch    680, Loss  0.879282, Average Loss  0.868261, Time  0.301479
2021-09-11 22:30:27.898234 : Epoch  7, Batch    681, Loss  0.863432, Average Loss  0.868312, Time  0.346494
2021-09-11 22:30:37.144130 : Epoch  7, Batch    682, Loss  0.866953, Average Loss  0.868340, Time  0.483510
2021-09-11 22:30:45.681123 : Epoch  7, Batch    683, Loss  0.871547, Average Loss  0.868255, Time  0.664808
2021-09-11 22:30:55.273849 : Epoch  7, Batch    684, Loss  0.861781, Average Loss  0.868194, Time  0.699775
2021-09-11 22:31:06.399610 : Epoch  7, Batch    685, Loss  0.868237, Average Loss  0.868257, Time  0.708126
2021-09-11 22:31:13.587766 : Epoch  7, Batch    686, Loss  0.885950, Average Loss  0.868395, Time  0.240358
2021-09-11 22:31:24.512900 : Epoch  7, Batch    687, Loss  0.877388, Average Loss  0.868444, Time  0.618690
2021-09-11 22:31:32.601028 : Epoch  7, Batch    688, Loss  0.878361, Average Loss  0.868457, Time  0.521009
2021-09-11 22:31:45.406730 : Epoch  7, Batch    689, Loss  0.842403, Average Loss  0.868226, Time  0.309118
2021-09-11 22:31:53.144350 : Epoch  7, Batch    690, Loss  0.877715, Average Loss  0.868387, Time  0.466591
2021-09-11 22:32:02.190531 : Epoch  7, Batch    691, Loss  0.872243, Average Loss  0.868440, Time  0.318198
2021-09-11 22:32:06.550198 : Epoch  7, Batch    692, Loss  0.849225, Average Loss  0.868359, Time  0.290550
2021-09-11 22:32:15.612239 : Epoch  7, Batch    693, Loss  0.886061, Average Loss  0.868402, Time  0.333657
2021-09-11 22:32:19.649780 : Epoch  7, Batch    694, Loss  0.852807, Average Loss  0.868348, Time  0.341152
2021-09-11 22:32:25.276937 : Epoch  7, Batch    695, Loss  0.880647, Average Loss  0.868402, Time  0.260213
2021-09-11 22:32:30.733925 : Epoch  7, Batch    696, Loss  0.864643, Average Loss  0.868293, Time  0.409964
2021-09-11 22:32:34.913830 : Epoch  7, Batch    697, Loss  0.875170, Average Loss  0.868401, Time  0.346520
2021-09-11 22:32:42.128894 : Epoch  7, Batch    698, Loss  0.866582, Average Loss  0.868471, Time  0.333141
2021-09-11 22:32:52.043586 : Epoch  7, Batch    699, Loss  0.883251, Average Loss  0.868602, Time  0.538484
2021-09-11 22:32:58.947941 : Epoch  7, Batch    700, Loss  0.879253, Average Loss  0.868619, Time  0.446123
2021-09-11 22:33:07.768045 : Epoch  7, Batch    701, Loss  0.872033, Average Loss  0.868738, Time  0.564326
2021-09-11 22:33:16.143668 : Epoch  7, Batch    702, Loss  0.887906, Average Loss  0.868794, Time  0.288940
2021-09-11 22:33:21.250382 : Epoch  7, Batch    703, Loss  0.857076, Average Loss  0.868773, Time  0.315154
2021-09-11 22:33:26.156106 : Epoch  7, Batch    704, Loss  0.875220, Average Loss  0.868813, Time  0.411004
2021-09-11 22:33:32.117016 : Epoch  7, Batch    705, Loss  0.860349, Average Loss  0.868787, Time  0.464170
2021-09-11 22:33:37.412398 : Epoch  7, Batch    706, Loss  0.870287, Average Loss  0.868716, Time  0.300272
2021-09-11 22:33:44.123435 : Epoch  7, Batch    707, Loss  0.892675, Average Loss  0.868849, Time  0.242726
2021-09-11 22:33:51.658354 : Epoch  7, Batch    708, Loss  0.890987, Average Loss  0.868949, Time  0.303492
2021-09-11 22:33:57.464107 : Epoch  7, Batch    709, Loss  0.859950, Average Loss  0.868896, Time  0.313705
2021-09-11 22:34:01.279488 : Epoch  7, Batch    710, Loss  0.882425, Average Loss  0.868980, Time  0.387501
2021-09-11 22:34:10.927262 : Epoch  7, Batch    711, Loss  0.882261, Average Loss  0.868981, Time  0.257644
2021-09-11 22:34:18.474101 : Epoch  7, Batch    712, Loss  0.855708, Average Loss  0.869011, Time  0.366737
2021-09-11 22:34:25.400451 : Epoch  7, Batch    713, Loss  0.871746, Average Loss  0.869032, Time  0.489538
2021-09-11 22:34:32.521770 : Epoch  7, Batch    714, Loss  0.857330, Average Loss  0.868955, Time  0.261659
2021-09-11 22:34:38.123184 : Epoch  7, Batch    715, Loss  0.885743, Average Loss  0.868977, Time  0.303792
2021-09-11 22:34:42.894218 : Epoch  7, Batch    716, Loss  0.863131, Average Loss  0.868941, Time  0.564621
2021-09-11 22:34:46.248843 : Epoch  7, Batch    717, Loss  0.880944, Average Loss  0.869018, Time  0.448519
2021-09-11 22:34:52.752856 : Epoch  7, Batch    718, Loss  0.868541, Average Loss  0.868961, Time  0.281988
2021-09-11 22:34:56.518855 : Epoch  7, Batch    719, Loss  0.843129, Average Loss  0.868845, Time  0.248545
2021-09-11 22:35:03.785056 : Epoch  7, Batch    720, Loss  0.872485, Average Loss  0.868951, Time  0.274119
2021-09-11 22:35:09.817469 : Epoch  7, Batch    721, Loss  0.850471, Average Loss  0.868855, Time  0.462342
2021-09-11 22:35:17.737581 : Epoch  7, Batch    722, Loss  0.863296, Average Loss  0.868909, Time  0.297544
2021-09-11 22:35:23.029261 : Epoch  7, Batch    723, Loss  0.873610, Average Loss  0.868906, Time  0.470639
2021-09-11 22:35:30.486384 : Epoch  7, Batch    724, Loss  0.877922, Average Loss  0.868935, Time  0.410790
2021-09-11 22:35:37.551961 : Epoch  7, Batch    725, Loss  0.871822, Average Loss  0.868940, Time  0.392520
2021-09-11 22:35:43.641031 : Epoch  7, Batch    726, Loss  0.872023, Average Loss  0.868905, Time  0.395578
2021-09-11 22:35:51.726435 : Epoch  7, Batch    727, Loss  0.860876, Average Loss  0.868885, Time  0.273530
2021-09-11 22:35:59.899265 : Epoch  7, Batch    728, Loss  0.887447, Average Loss  0.868909, Time  0.312591
2021-09-11 22:36:07.749577 : Epoch  7, Batch    729, Loss  0.880353, Average Loss  0.868882, Time  0.446208
2021-09-11 22:36:16.413183 : Epoch  7, Batch    730, Loss  0.861182, Average Loss  0.868861, Time  0.272361
2021-09-11 22:36:24.747604 : Epoch  7, Batch    731, Loss  0.870723, Average Loss  0.868714, Time  0.318897
2021-09-11 22:36:33.917296 : Epoch  7, Batch    732, Loss  0.871453, Average Loss  0.868643, Time  0.428502
2021-09-11 22:36:41.619847 : Epoch  7, Batch    733, Loss  0.866749, Average Loss  0.868675, Time  0.377740
2021-09-11 22:36:47.242349 : Epoch  7, Batch    734, Loss  0.872764, Average Loss  0.868773, Time  0.351898
2021-09-11 22:36:52.735187 : Epoch  7, Batch    735, Loss  0.852198, Average Loss  0.868752, Time  0.378239
2021-09-11 22:36:59.779176 : Epoch  7, Batch    736, Loss  0.870028, Average Loss  0.868772, Time  0.461921
2021-09-11 22:37:08.962906 : Epoch  7, Batch    737, Loss  0.855730, Average Loss  0.868681, Time  0.389198
2021-09-11 22:37:16.106516 : Epoch  7, Batch    738, Loss  0.859196, Average Loss  0.868683, Time  0.331147
2021-09-11 22:37:22.511342 : Epoch  7, Batch    739, Loss  0.897940, Average Loss  0.868780, Time  0.411285
2021-09-11 22:37:25.691163 : Epoch  7, Batch    740, Loss  0.880401, Average Loss  0.868895, Time  0.259181
2021-09-11 22:37:33.075040 : Epoch  7, Batch    741, Loss  0.888748, Average Loss  0.868971, Time  0.348392
2021-09-11 22:37:40.046224 : Epoch  7, Batch    742, Loss  0.864700, Average Loss  0.869000, Time  0.285860
2021-09-11 22:37:49.340823 : Epoch  7, Batch    743, Loss  0.864793, Average Loss  0.868942, Time  0.343749
2021-09-11 22:37:53.929503 : Epoch  7, Batch    744, Loss  0.859726, Average Loss  0.869062, Time  0.247641
2021-09-11 22:37:59.296314 : Epoch  7, Batch    745, Loss  0.832469, Average Loss  0.868834, Time  0.327981
2021-09-11 22:38:08.635866 : Epoch  7, Batch    746, Loss  0.859763, Average Loss  0.868787, Time  0.455181
2021-09-11 22:38:16.428249 : Epoch  7, Batch    747, Loss  0.858227, Average Loss  0.868611, Time  0.255451
2021-09-11 22:38:22.761380 : Epoch  7, Batch    748, Loss  0.871685, Average Loss  0.868582, Time  0.335211
2021-09-11 22:38:25.962998 : Epoch  7, Batch    749, Loss  0.852339, Average Loss  0.868448, Time  0.289693
2021-09-11 22:38:32.211240 : Epoch  7, Batch    750, Loss  0.863259, Average Loss  0.868405, Time  0.349093
2021-09-11 22:38:38.290280 : Epoch  7, Batch    751, Loss  0.857570, Average Loss  0.868375, Time  0.470112
2021-09-11 22:38:42.009827 : Epoch  7, Batch    752, Loss  0.853246, Average Loss  0.868236, Time  0.241137
2021-09-11 22:38:50.650603 : Epoch  7, Batch    753, Loss  0.858910, Average Loss  0.868100, Time  0.486379
2021-09-11 22:38:59.311958 : Epoch  7, Batch    754, Loss  0.891865, Average Loss  0.868101, Time  0.616842
2021-09-11 22:39:09.159279 : Epoch  7, Batch    755, Loss  0.861683, Average Loss  0.868078, Time  0.244331
2021-09-11 22:39:15.125095 : Epoch  7, Batch    756, Loss  0.873020, Average Loss  0.868074, Time  0.384631
2021-09-11 22:39:21.146904 : Epoch  7, Batch    757, Loss  0.885291, Average Loss  0.868103, Time  0.413705
2021-09-11 22:39:27.476133 : Epoch  7, Batch    758, Loss  0.856663, Average Loss  0.868061, Time  0.335872
2021-09-11 22:39:32.022030 : Epoch  7, Batch    759, Loss  0.862841, Average Loss  0.868106, Time  0.342438
2021-09-11 22:39:38.726025 : Epoch  7, Batch    760, Loss  0.888258, Average Loss  0.868263, Time  0.435326
2021-09-11 22:39:46.563066 : Epoch  7, Batch    761, Loss  0.865729, Average Loss  0.868239, Time  0.256757
2021-09-11 22:39:54.832468 : Epoch  7, Batch    762, Loss  0.878324, Average Loss  0.868233, Time  0.399019
2021-09-11 22:40:04.010267 : Epoch  7, Batch    763, Loss  0.874016, Average Loss  0.868275, Time  0.317548
2021-09-11 22:40:08.780332 : Epoch  7, Batch    764, Loss  0.874680, Average Loss  0.868230, Time  0.373193
2021-09-11 22:50:10.990685 : CheckPoint: Validation Loss  0.00030533, Best Loss  0.00029019
2021-09-11 22:50:16.824696 : Epoch  7, Batch    765, Loss  0.867277, Average Loss  0.868155, Time  0.260482
2021-09-11 22:50:20.533993 : Epoch  7, Batch    766, Loss  0.875919, Average Loss  0.868191, Time  0.249482
2021-09-11 22:50:24.746921 : Epoch  7, Batch    767, Loss  0.885814, Average Loss  0.868265, Time  0.250852
2021-09-11 22:50:28.023933 : Epoch  7, Batch    768, Loss  0.875086, Average Loss  0.868317, Time  0.360756
2021-09-11 22:50:32.898875 : Epoch  7, Batch    769, Loss  0.862263, Average Loss  0.868297, Time  0.238900
2021-09-11 22:50:40.618717 : Epoch  7, Batch    770, Loss  0.871823, Average Loss  0.868212, Time  0.317316
2021-09-11 22:50:45.204196 : Epoch  7, Batch    771, Loss  0.863336, Average Loss  0.868126, Time  0.324141
2021-09-11 22:50:53.717209 : Epoch  7, Batch    772, Loss  0.865340, Average Loss  0.868107, Time  0.288558
2021-09-11 22:51:02.177721 : Epoch  7, Batch    773, Loss  0.872050, Average Loss  0.868104, Time  0.252756
2021-09-11 22:51:13.540939 : Epoch  7, Batch    774, Loss  0.864407, Average Loss  0.868018, Time  0.267335
2021-09-11 22:51:19.024206 : Epoch  7, Batch    775, Loss  0.865202, Average Loss  0.868027, Time  0.389682
2021-09-11 22:51:24.100891 : Epoch  7, Batch    776, Loss  0.858687, Average Loss  0.868064, Time  0.289551
2021-09-11 22:51:32.348244 : Epoch  7, Batch    777, Loss  0.874687, Average Loss  0.868015, Time  0.448703
2021-09-11 22:51:42.378322 : Epoch  7, Batch    778, Loss  0.875453, Average Loss  0.868071, Time  0.417463
2021-09-11 22:51:49.941837 : Epoch  7, Batch    779, Loss  0.873087, Average Loss  0.868061, Time  0.409537
2021-09-11 22:51:54.149443 : Epoch  7, Batch    780, Loss  0.896202, Average Loss  0.868221, Time  0.304180
2021-09-11 22:52:01.566419 : Epoch  7, Batch    781, Loss  0.879218, Average Loss  0.868317, Time  0.404847
2021-09-11 22:52:11.132400 : Epoch  7, Batch    782, Loss  0.854116, Average Loss  0.868287, Time  0.432401
2021-09-11 22:52:16.183176 : Epoch  7, Batch    783, Loss  0.858678, Average Loss  0.868313, Time  0.384404
2021-09-11 22:52:22.973164 : Epoch  7, Batch    784, Loss  0.853726, Average Loss  0.868237, Time  0.346498
2021-09-11 22:52:29.451033 : Epoch  7, Batch    785, Loss  0.868171, Average Loss  0.868151, Time  0.384808
2021-09-11 22:52:34.683165 : Epoch  7, Batch    786, Loss  0.868583, Average Loss  0.868147, Time  0.259475
2021-09-11 22:52:40.616127 : Epoch  7, Batch    787, Loss  0.886898, Average Loss  0.868317, Time  0.246131
2021-09-11 22:52:45.045968 : Epoch  7, Batch    788, Loss  0.860974, Average Loss  0.868307, Time  0.281910
2021-09-11 22:52:50.472227 : Epoch  7, Batch    789, Loss  0.879110, Average Loss  0.868385, Time  0.270684
2021-09-11 22:52:59.531704 : Epoch  7, Batch    790, Loss  0.875790, Average Loss  0.868431, Time  0.315699
2021-09-11 22:53:03.260820 : Epoch  7, Batch    791, Loss  0.885657, Average Loss  0.868422, Time  0.319097
2021-09-11 22:53:06.999724 : Epoch  7, Batch    792, Loss  0.850220, Average Loss  0.868458, Time  0.281610
2021-09-11 22:53:16.322266 : Epoch  7, Batch    793, Loss  0.877178, Average Loss  0.868408, Time  0.328985
2021-09-11 22:53:25.842768 : Epoch  7, Batch    794, Loss  0.876238, Average Loss  0.868489, Time  0.345552
2021-09-11 22:53:37.448047 : Epoch  7, Batch    795, Loss  0.879004, Average Loss  0.868467, Time  0.364963
2021-09-11 22:53:42.549952 : Epoch  7, Batch    796, Loss  0.855914, Average Loss  0.868436, Time  0.238603
2021-09-11 22:53:46.574209 : Epoch  7, Batch    797, Loss  0.856389, Average Loss  0.868438, Time  0.252973
2021-09-11 22:53:49.493801 : Epoch  7, Batch    798, Loss  0.878743, Average Loss  0.868434, Time  0.295498
2021-09-11 22:53:59.350170 : Epoch  7, Batch    799, Loss  0.879926, Average Loss  0.868547, Time  0.407415
2021-09-11 22:54:09.576025 : Epoch  7, Batch    800, Loss  0.893784, Average Loss  0.868644, Time  0.401298
2021-09-11 22:54:14.755715 : Epoch  7, Batch    801, Loss  0.865154, Average Loss  0.868667, Time  0.239403
2021-09-11 22:54:18.885841 : Epoch  7, Batch    802, Loss  0.863967, Average Loss  0.868733, Time  0.267253
2021-09-11 22:54:25.576718 : Epoch  7, Batch    803, Loss  0.865320, Average Loss  0.868795, Time  0.259897
2021-09-11 22:54:31.407215 : Epoch  7, Batch    804, Loss  0.869679, Average Loss  0.868779, Time  0.289542
2021-09-11 22:54:38.828638 : Epoch  7, Batch    805, Loss  0.868967, Average Loss  0.868808, Time  0.328846
2021-09-11 22:54:42.907173 : Epoch  7, Batch    806, Loss  0.873774, Average Loss  0.868889, Time  0.237721
2021-09-11 22:54:48.398035 : Epoch  7, Batch    807, Loss  0.876519, Average Loss  0.868910, Time  0.340171
2021-09-11 22:54:55.583191 : Epoch  7, Batch    808, Loss  0.851726, Average Loss  0.868845, Time  0.338657
2021-09-11 22:55:01.860473 : Epoch  7, Batch    809, Loss  0.864924, Average Loss  0.868817, Time  0.264832
2021-09-11 22:55:07.034397 : Epoch  7, Batch    810, Loss  0.893475, Average Loss  0.868916, Time  0.343153
2021-09-11 22:55:11.019311 : Epoch  7, Batch    811, Loss  0.872027, Average Loss  0.868901, Time  0.357099
2021-09-11 22:55:15.937016 : Epoch  7, Batch    812, Loss  0.864598, Average Loss  0.868885, Time  0.314476
2021-09-11 22:55:19.269763 : Epoch  7, Batch    813, Loss  0.869576, Average Loss  0.868933, Time  0.274790
2021-09-11 22:55:23.872000 : Epoch  7, Batch    814, Loss  0.875219, Average Loss  0.868889, Time  0.277164
2021-09-11 22:55:26.560283 : Epoch  7, Batch    815, Loss  0.871297, Average Loss  0.868952, Time  0.274994
2021-09-11 22:55:30.264778 : Epoch  7, Batch    816, Loss  0.887526, Average Loss  0.869092, Time  0.240190
2021-09-11 22:55:37.396732 : Epoch  7, Batch    817, Loss  0.865500, Average Loss  0.869092, Time  0.375520
2021-09-11 22:55:43.609774 : Epoch  7, Batch    818, Loss  0.846786, Average Loss  0.869089, Time  0.286571
2021-09-11 22:55:48.683932 : Epoch  7, Batch    819, Loss  0.862491, Average Loss  0.869022, Time  0.303976
2021-09-11 22:55:51.618676 : Epoch  7, Batch    820, Loss  0.866648, Average Loss  0.869061, Time  0.365884
2021-09-11 22:56:00.317971 : Epoch  7, Batch    821, Loss  0.879960, Average Loss  0.869105, Time  0.263968
2021-09-11 22:56:06.221767 : Epoch  7, Batch    822, Loss  0.867160, Average Loss  0.869208, Time  0.335341
2021-09-11 22:56:12.091576 : Epoch  7, Batch    823, Loss  0.876937, Average Loss  0.869287, Time  0.262546
2021-09-11 22:56:20.573802 : Epoch  7, Batch    824, Loss  0.849684, Average Loss  0.869169, Time  0.300433
2021-09-11 22:56:29.186239 : Epoch  7, Batch    825, Loss  0.845067, Average Loss  0.869112, Time  0.349276
2021-09-11 22:56:32.877071 : Epoch  7, Batch    826, Loss  0.858051, Average Loss  0.869034, Time  0.358872
2021-09-11 22:56:41.190725 : Epoch  7, Batch    827, Loss  0.909115, Average Loss  0.869264, Time  0.497811
2021-09-11 22:56:49.201717 : Epoch  7, Batch    828, Loss  0.860864, Average Loss  0.869198, Time  0.257391
2021-09-11 22:56:56.148769 : Epoch  7, Batch    829, Loss  0.860889, Average Loss  0.869178, Time  0.362176
2021-09-11 22:57:01.726974 : Epoch  7, Batch    830, Loss  0.880026, Average Loss  0.869229, Time  0.292619
2021-09-11 22:57:07.340456 : Epoch  7, Batch    831, Loss  0.870384, Average Loss  0.869306, Time  0.300012
2021-09-11 22:57:12.501729 : Epoch  7, Batch    832, Loss  0.857476, Average Loss  0.869254, Time  0.270443
2021-09-11 22:57:16.429778 : Epoch  7, Batch    833, Loss  0.867896, Average Loss  0.869161, Time  0.268015
2021-09-11 22:57:23.161694 : Epoch  7, Batch    834, Loss  0.878727, Average Loss  0.869293, Time  0.354783
2021-09-11 22:57:32.134975 : Epoch  7, Batch    835, Loss  0.869003, Average Loss  0.869327, Time  0.422189
2021-09-11 22:57:41.025787 : Epoch  7, Batch    836, Loss  0.867915, Average Loss  0.869396, Time  0.326483
2021-09-11 22:57:52.705693 : Epoch  7, Batch    837, Loss  0.864020, Average Loss  0.869325, Time  0.607377
2021-09-11 22:58:01.646475 : Epoch  7, Batch    838, Loss  0.875235, Average Loss  0.869330, Time  0.415457
2021-09-11 22:58:07.579731 : Epoch  7, Batch    839, Loss  0.872910, Average Loss  0.869339, Time  0.357390
2021-09-11 22:58:12.029956 : Epoch  7, Batch    840, Loss  0.868086, Average Loss  0.869365, Time  0.271397
2021-09-11 22:58:18.664261 : Epoch  7, Batch    841, Loss  0.870945, Average Loss  0.869248, Time  0.239844
2021-09-11 22:58:24.265901 : Epoch  7, Batch    842, Loss  0.860022, Average Loss  0.869245, Time  0.292808
2021-09-11 22:58:27.928011 : Epoch  7, Batch    843, Loss  0.879022, Average Loss  0.869289, Time  0.304996
2021-09-11 22:58:33.216968 : Epoch  7, Batch    844, Loss  0.888915, Average Loss  0.869429, Time  0.247198
2021-09-11 22:58:38.598256 : Epoch  7, Batch    845, Loss  0.861995, Average Loss  0.869493, Time  0.346156
2021-09-11 22:58:42.882272 : Epoch  7, Batch    846, Loss  0.868602, Average Loss  0.869503, Time  0.378517
2021-09-11 22:58:49.418791 : Epoch  7, Batch    847, Loss  0.877827, Average Loss  0.869618, Time  0.297684
2021-09-11 22:59:00.417921 : Epoch  7, Batch    848, Loss  0.863818, Average Loss  0.869586, Time  0.491534
2021-09-11 22:59:07.100002 : Epoch  7, Batch    849, Loss  0.869591, Average Loss  0.869694, Time  0.291422
2021-09-11 22:59:16.342045 : Epoch  7, Batch    850, Loss  0.860222, Average Loss  0.869697, Time  0.268715
2021-09-11 22:59:23.821090 : Epoch  7, Batch    851, Loss  0.865616, Average Loss  0.869711, Time  0.444301
2021-09-11 22:59:33.668803 : Epoch  7, Batch    852, Loss  0.848118, Average Loss  0.869643, Time  0.300555
2021-09-11 22:59:39.808209 : Epoch  7, Batch    853, Loss  0.868419, Average Loss  0.869613, Time  0.258551
2021-09-11 22:59:48.520871 : Epoch  7, Batch    854, Loss  0.865227, Average Loss  0.869638, Time  0.351537
2021-09-11 22:59:58.892841 : Epoch  7, Batch    855, Loss  0.865707, Average Loss  0.869574, Time  0.671406
2021-09-11 23:00:09.216425 : Epoch  7, Batch    856, Loss  0.847054, Average Loss  0.869473, Time  0.419573
2021-09-11 23:00:17.260088 : Epoch  7, Batch    857, Loss  0.869782, Average Loss  0.869529, Time  0.443838
2021-09-11 23:00:24.520509 : Epoch  7, Batch    858, Loss  0.861361, Average Loss  0.869463, Time  0.257459
2021-09-11 23:00:28.822263 : Epoch  7, Batch    859, Loss  0.877500, Average Loss  0.869518, Time  0.292891
2021-09-11 23:00:32.444773 : Epoch  7, Batch    860, Loss  0.859924, Average Loss  0.869469, Time  0.257914
2021-09-11 23:00:37.970896 : Epoch  7, Batch    861, Loss  0.882011, Average Loss  0.869533, Time  0.286675
2021-09-11 23:00:44.346102 : Epoch  7, Batch    862, Loss  0.889020, Average Loss  0.869611, Time  0.353928
2021-09-11 23:00:48.710949 : Epoch  7, Batch    863, Loss  0.863170, Average Loss  0.869592, Time  0.270185
2021-09-11 23:01:18.225107 : Epoch  7, Batch    864, Loss  0.861311, Average Loss  0.869532, Time  0.398082
2021-09-11 23:09:17.342685 : CheckPoint: Validation Loss  0.00032387, Best Loss  0.00029019
2021-09-11 23:09:27.833012 : Epoch  7, Batch    865, Loss  0.862449, Average Loss  0.869442, Time  0.488613
2021-09-11 23:09:32.666996 : Epoch  7, Batch    866, Loss  0.867980, Average Loss  0.869432, Time  0.243332
2021-09-11 23:09:36.944835 : Epoch  7, Batch    867, Loss  0.840905, Average Loss  0.869222, Time  0.247721
2021-09-11 23:09:46.110965 : Epoch  7, Batch    868, Loss  0.899095, Average Loss  0.869338, Time  0.260535
2021-09-11 23:09:50.938489 : Epoch  7, Batch    869, Loss  0.866785, Average Loss  0.869267, Time  0.239901
2021-09-11 23:09:53.854998 : Epoch  7, Batch    870, Loss  0.869325, Average Loss  0.869215, Time  0.267173
2021-09-11 23:09:58.224977 : Epoch  7, Batch    871, Loss  0.870705, Average Loss  0.869286, Time  0.270224
2021-09-11 23:10:01.513380 : Epoch  7, Batch    872, Loss  0.866597, Average Loss  0.869237, Time  0.240104
2021-09-11 23:10:05.084031 : Epoch  7, Batch    873, Loss  0.874128, Average Loss  0.869301, Time  0.237112
2021-09-11 23:10:11.341081 : Epoch  7, Batch    874, Loss  0.874806, Average Loss  0.869229, Time  0.319578
2021-09-11 23:10:16.176779 : Epoch  7, Batch    875, Loss  0.880930, Average Loss  0.869390, Time  0.313064
2021-09-11 23:10:21.021941 : Epoch  7, Batch    876, Loss  0.870806, Average Loss  0.869450, Time  0.256238
2021-09-11 23:10:27.323735 : Epoch  7, Batch    877, Loss  0.887677, Average Loss  0.869575, Time  0.280881
2021-09-11 23:10:32.404757 : Epoch  7, Batch    878, Loss  0.882994, Average Loss  0.869682, Time  0.373507
2021-09-11 23:10:38.294830 : Epoch  7, Batch    879, Loss  0.863717, Average Loss  0.869652, Time  0.354310
2021-09-11 23:10:45.489709 : Epoch  7, Batch    880, Loss  0.888644, Average Loss  0.869699, Time  0.323358
2021-09-11 23:10:50.488341 : Epoch  7, Batch    881, Loss  0.863426, Average Loss  0.869699, Time  0.250826
2021-09-11 23:10:53.949003 : Epoch  7, Batch    882, Loss  0.878771, Average Loss  0.869758, Time  0.287391
2021-09-11 23:10:58.092222 : Epoch  7, Batch    883, Loss  0.857006, Average Loss  0.869685, Time  0.266216
2021-09-11 23:11:03.990548 : Epoch  7, Batch    884, Loss  0.858364, Average Loss  0.869668, Time  0.386569
2021-09-11 23:11:11.508767 : Epoch  7, Batch    885, Loss  0.870677, Average Loss  0.869681, Time  0.446880
2021-09-11 23:11:20.164750 : Epoch  7, Batch    886, Loss  0.858910, Average Loss  0.869545, Time  0.299248
2021-09-11 23:11:25.423004 : Epoch  7, Batch    887, Loss  0.871125, Average Loss  0.869514, Time  0.334332
2021-09-11 23:11:32.307169 : Epoch  7, Batch    888, Loss  0.870243, Average Loss  0.869473, Time  0.393402
2021-09-11 23:11:38.495445 : Epoch  7, Batch    889, Loss  0.854623, Average Loss  0.869535, Time  0.287970
2021-09-11 23:11:45.266276 : Epoch  7, Batch    890, Loss  0.875494, Average Loss  0.869523, Time  0.452868
2021-09-11 23:11:51.520973 : Epoch  7, Batch    891, Loss  0.880976, Average Loss  0.869567, Time  0.398664
2021-09-11 23:11:58.799983 : Epoch  7, Batch    892, Loss  0.869973, Average Loss  0.869671, Time  0.309489
2021-09-11 23:12:04.598119 : Epoch  7, Batch    893, Loss  0.868961, Average Loss  0.869585, Time  0.343090
2021-09-11 23:12:12.777530 : Epoch  7, Batch    894, Loss  0.878392, Average Loss  0.869713, Time  1.411478
2021-09-11 23:12:19.409063 : Epoch  7, Batch    895, Loss  0.876284, Average Loss  0.869691, Time  0.311860
2021-09-11 23:12:28.864751 : Epoch  7, Batch    896, Loss  0.868809, Average Loss  0.869712, Time  0.479409
2021-09-11 23:12:36.781567 : Epoch  7, Batch    897, Loss  0.874394, Average Loss  0.869708, Time  0.334037
2021-09-11 23:12:43.072169 : Epoch  7, Batch    898, Loss  0.875040, Average Loss  0.869751, Time  0.240977
2021-09-11 23:12:48.783286 : Epoch  7, Batch    899, Loss  0.875605, Average Loss  0.869712, Time  0.287723
2021-09-11 23:12:53.695118 : Epoch  7, Batch    900, Loss  0.871224, Average Loss  0.869672, Time  0.283636
2021-09-11 23:12:59.039814 : Epoch  7, Batch    901, Loss  0.875318, Average Loss  0.869689, Time  0.242813
2021-09-11 23:13:08.790577 : Epoch  7, Batch    902, Loss  0.881501, Average Loss  0.869657, Time  0.332838
2021-09-11 23:13:13.759800 : Epoch  7, Batch    903, Loss  0.874991, Average Loss  0.869746, Time  0.270844
2021-09-11 23:13:20.922841 : Epoch  7, Batch    904, Loss  0.869184, Average Loss  0.869716, Time  0.293101
2021-09-11 23:13:26.595476 : Epoch  7, Batch    905, Loss  0.876853, Average Loss  0.869799, Time  0.251412
2021-09-11 23:13:34.213867 : Epoch  7, Batch    906, Loss  0.865321, Average Loss  0.869774, Time  0.380855
2021-09-11 23:13:38.446864 : Epoch  7, Batch    907, Loss  0.868349, Average Loss  0.869652, Time  0.249136
2021-09-11 23:13:43.150252 : Epoch  7, Batch    908, Loss  0.874422, Average Loss  0.869569, Time  0.304227
2021-09-11 23:13:49.676184 : Epoch  7, Batch    909, Loss  0.858094, Average Loss  0.869560, Time  0.390726
2021-09-11 23:13:56.112191 : Epoch  7, Batch    910, Loss  0.851854, Average Loss  0.869407, Time  0.266371
2021-09-11 23:14:01.025056 : Epoch  7, Batch    911, Loss  0.860061, Average Loss  0.869296, Time  0.283958
2021-09-11 23:14:07.360206 : Epoch  7, Batch    912, Loss  0.849601, Average Loss  0.869266, Time  0.373116
2021-09-11 23:14:13.211425 : Epoch  7, Batch    913, Loss  0.869073, Average Loss  0.869252, Time  0.348516
2021-09-11 23:14:18.682646 : Epoch  7, Batch    914, Loss  0.877494, Average Loss  0.869353, Time  0.268665
2021-09-11 23:14:25.275119 : Epoch  7, Batch    915, Loss  0.858156, Average Loss  0.869215, Time  0.300120
2021-09-11 23:14:31.706173 : Epoch  7, Batch    916, Loss  0.867301, Average Loss  0.869236, Time  0.268469
2021-09-11 23:14:36.224762 : Epoch  7, Batch    917, Loss  0.868042, Average Loss  0.869172, Time  0.268896
2021-09-11 23:14:45.308939 : Epoch  7, Batch    918, Loss  0.869700, Average Loss  0.869177, Time  0.363670
2021-09-11 23:14:48.399433 : Epoch  7, Batch    919, Loss  0.867785, Average Loss  0.869301, Time  0.261823
2021-09-11 23:14:54.229318 : Epoch  7, Batch    920, Loss  0.848572, Average Loss  0.869181, Time  0.376592
2021-09-11 23:15:00.753823 : Epoch  7, Batch    921, Loss  0.870787, Average Loss  0.869283, Time  0.278717
2021-09-11 23:15:05.328951 : Epoch  7, Batch    922, Loss  0.881234, Average Loss  0.869372, Time  0.459255
2021-09-11 23:15:09.680287 : Epoch  7, Batch    923, Loss  0.879752, Average Loss  0.869403, Time  0.433252
2021-09-11 23:15:14.163968 : Epoch  7, Batch    924, Loss  0.882406, Average Loss  0.869425, Time  0.332422
2021-09-11 23:15:19.717002 : Epoch  7, Batch    925, Loss  0.878994, Average Loss  0.869461, Time  0.339202
2021-09-11 23:15:26.520125 : Epoch  7, Batch    926, Loss  0.877649, Average Loss  0.869489, Time  0.238564
2021-09-11 23:15:34.222639 : Epoch  7, Batch    927, Loss  0.875007, Average Loss  0.869560, Time  0.458796
2021-09-11 23:15:41.230306 : Epoch  7, Batch    928, Loss  0.880327, Average Loss  0.869524, Time  0.284116
2021-09-11 23:15:46.866087 : Epoch  7, Batch    929, Loss  0.883233, Average Loss  0.869539, Time  0.283010
2021-09-11 23:15:56.165734 : Epoch  7, Batch    930, Loss  0.885487, Average Loss  0.869660, Time  0.348546
2021-09-11 23:16:02.014899 : Epoch  7, Batch    931, Loss  0.859315, Average Loss  0.869603, Time  0.347706
2021-09-11 23:16:07.736788 : Epoch  7, Batch    932, Loss  0.868270, Average Loss  0.869587, Time  0.257792
2021-09-11 23:16:13.673042 : Epoch  7, Batch    933, Loss  0.860179, Average Loss  0.869555, Time  0.319271
2021-09-11 23:16:18.430339 : Epoch  7, Batch    934, Loss  0.880541, Average Loss  0.869593, Time  0.238819
2021-09-11 23:16:23.949983 : Epoch  7, Batch    935, Loss  0.872470, Average Loss  0.869695, Time  0.376676
2021-09-11 23:16:29.526572 : Epoch  7, Batch    936, Loss  0.865077, Average Loss  0.869670, Time  0.407763
2021-09-11 23:16:35.290760 : Epoch  7, Batch    937, Loss  0.828838, Average Loss  0.869536, Time  0.317898
2021-09-11 23:16:40.253022 : Epoch  7, Batch    938, Loss  0.856614, Average Loss  0.869523, Time  0.310361
2021-09-11 23:16:44.764974 : Epoch  7, Batch    939, Loss  0.860130, Average Loss  0.869334, Time  0.374283
2021-09-11 23:16:50.279064 : Epoch  7, Batch    940, Loss  0.868566, Average Loss  0.869274, Time  0.239824
2021-09-11 23:16:57.499694 : Epoch  7, Batch    941, Loss  0.873530, Average Loss  0.869198, Time  0.529374
2021-09-11 23:17:02.895741 : Epoch  7, Batch    942, Loss  0.849029, Average Loss  0.869120, Time  0.245733
2021-09-11 23:17:10.693752 : Epoch  7, Batch    943, Loss  0.855883, Average Loss  0.869075, Time  0.366321
2021-09-11 23:17:17.921699 : Epoch  7, Batch    944, Loss  0.860362, Average Loss  0.869079, Time  0.519748
2021-09-11 23:17:23.667952 : Epoch  7, Batch    945, Loss  0.843889, Average Loss  0.869136, Time  0.239878
2021-09-11 23:17:29.660796 : Epoch  7, Batch    946, Loss  0.871585, Average Loss  0.869195, Time  0.240224
2021-09-11 23:17:36.562765 : Epoch  7, Batch    947, Loss  0.872210, Average Loss  0.869265, Time  0.373811
2021-09-11 23:17:42.178686 : Epoch  7, Batch    948, Loss  0.875227, Average Loss  0.869282, Time  0.238461
2021-09-11 23:17:48.096871 : Epoch  7, Batch    949, Loss  0.864283, Average Loss  0.869342, Time  0.306714
2021-09-11 23:17:51.886726 : Epoch  7, Batch    950, Loss  0.847582, Average Loss  0.869264, Time  0.356298
2021-09-11 23:17:57.133736 : Epoch  7, Batch    951, Loss  0.882746, Average Loss  0.869390, Time  0.353598
2021-09-11 23:18:03.146789 : Epoch  7, Batch    952, Loss  0.865832, Average Loss  0.869453, Time  0.360302
2021-09-11 23:18:12.098826 : Epoch  7, Batch    953, Loss  0.866420, Average Loss  0.869490, Time  0.415423
2021-09-11 23:18:22.730753 : Epoch  7, Batch    954, Loss  0.866885, Average Loss  0.869365, Time  0.253470
2021-09-11 23:18:26.659723 : Epoch  7, Batch    955, Loss  0.886414, Average Loss  0.869489, Time  0.404024
2021-09-11 23:18:34.835772 : Epoch  7, Batch    956, Loss  0.851368, Average Loss  0.869381, Time  0.453691
2021-09-11 23:18:42.073735 : Epoch  7, Batch    957, Loss  0.854856, Average Loss  0.869228, Time  0.418551
2021-09-11 23:18:46.802877 : Epoch  7, Batch    958, Loss  0.869713, Average Loss  0.869294, Time  0.311474
2021-09-11 23:18:53.891758 : Epoch  7, Batch    959, Loss  0.882944, Average Loss  0.869394, Time  0.291424
2021-09-11 23:19:01.088684 : Epoch  7, Batch    960, Loss  0.864497, Average Loss  0.869275, Time  0.270873
2021-09-11 23:19:11.257686 : Epoch  7, Batch    961, Loss  0.890873, Average Loss  0.869401, Time  0.424247
2021-09-11 23:19:20.346809 : Epoch  7, Batch    962, Loss  0.864183, Average Loss  0.869330, Time  0.318982
2021-09-11 23:19:23.332672 : Epoch  7, Batch    963, Loss  0.879739, Average Loss  0.869359, Time  0.261022
2021-09-11 23:19:34.875684 : Epoch  7, Batch    964, Loss  0.858989, Average Loss  0.869281, Time  0.317947
2021-09-11 23:33:10.566855 : CheckPoint: Validation Loss  0.00030952, Best Loss  0.00029019
2021-09-11 23:33:18.524938 : Epoch  7, Batch    965, Loss  0.884916, Average Loss  0.869369, Time  0.347777
2021-09-11 23:33:29.208934 : Epoch  7, Batch    966, Loss  0.875144, Average Loss  0.869365, Time  0.346341
2021-09-11 23:33:37.581221 : Epoch  7, Batch    967, Loss  0.869397, Average Loss  0.869283, Time  0.287834
2021-09-11 23:33:45.709013 : Epoch  7, Batch    968, Loss  0.888490, Average Loss  0.869350, Time  0.302032
2021-09-11 23:33:54.803367 : Epoch  7, Batch    969, Loss  0.874529, Average Loss  0.869411, Time  0.323918
2021-09-11 23:34:02.807768 : Epoch  7, Batch    970, Loss  0.874252, Average Loss  0.869423, Time  0.356700
2021-09-11 23:34:12.340156 : Epoch  7, Batch    971, Loss  0.884961, Average Loss  0.869531, Time  0.479939
2021-09-11 23:34:20.630708 : Epoch  7, Batch    972, Loss  0.873916, Average Loss  0.869574, Time  0.476238
2021-09-11 23:34:30.255614 : Epoch  7, Batch    973, Loss  0.871973, Average Loss  0.869574, Time  0.479603
2021-09-11 23:34:37.712775 : Epoch  7, Batch    974, Loss  0.859643, Average Loss  0.869550, Time  0.244699
2021-09-11 23:34:42.379957 : Epoch  7, Batch    975, Loss  0.886614, Average Loss  0.869657, Time  0.469029
2021-09-11 23:34:51.821269 : Epoch  7, Batch    976, Loss  0.870668, Average Loss  0.869717, Time  0.534656
2021-09-11 23:34:58.616770 : Epoch  7, Batch    977, Loss  0.871002, Average Loss  0.869699, Time  0.666873
2021-09-11 23:35:07.299937 : Epoch  7, Batch    978, Loss  0.884774, Average Loss  0.869745, Time  0.429236
2021-09-11 23:35:13.456767 : Epoch  7, Batch    979, Loss  0.874064, Average Loss  0.869750, Time  0.395864
2021-09-11 23:35:19.596837 : Epoch  7, Batch    980, Loss  0.879441, Average Loss  0.869666, Time  0.527092
2021-09-11 23:35:28.055057 : Epoch  7, Batch    981, Loss  0.892618, Average Loss  0.869733, Time  0.270147
2021-09-11 23:35:35.528703 : Epoch  7, Batch    982, Loss  0.866150, Average Loss  0.869794, Time  0.535479
2021-09-11 23:35:45.125439 : Epoch  7, Batch    983, Loss  0.881417, Average Loss  0.869907, Time  0.561857
2021-09-11 23:35:50.470810 : Epoch  7, Batch    984, Loss  0.872007, Average Loss  0.869999, Time  0.286303
2021-09-11 23:35:59.826734 : Epoch  7, Batch    985, Loss  0.870461, Average Loss  0.870010, Time  0.354348
2021-09-11 23:36:06.922989 : Epoch  7, Batch    986, Loss  0.874029, Average Loss  0.870037, Time  0.467968
2021-09-11 23:36:12.946969 : Epoch  7, Batch    987, Loss  0.867831, Average Loss  0.869942, Time  0.336741
2021-09-11 23:36:20.697362 : Epoch  7, Batch    988, Loss  0.860479, Average Loss  0.869940, Time  0.345848
2021-09-11 23:36:28.138896 : Epoch  7, Batch    989, Loss  0.868993, Average Loss  0.869889, Time  0.382535
2021-09-11 23:36:37.272297 : Epoch  7, Batch    990, Loss  0.869633, Average Loss  0.869858, Time  0.449237
2021-09-11 23:36:41.759877 : Epoch  7, Batch    991, Loss  0.874587, Average Loss  0.869803, Time  0.365952
2021-09-11 23:36:45.617035 : Epoch  7, Batch    992, Loss  0.854464, Average Loss  0.869824, Time  0.304229
2021-09-11 23:36:57.615747 : Epoch  7, Batch    993, Loss  0.866103, Average Loss  0.869769, Time  0.356967
2021-09-11 23:37:08.439194 : Epoch  7, Batch    994, Loss  0.888512, Average Loss  0.869830, Time  0.392488
2021-09-11 23:37:18.929853 : Epoch  7, Batch    995, Loss  0.881726, Average Loss  0.869844, Time  0.360392
2021-09-11 23:37:28.010328 : Epoch  7, Batch    996, Loss  0.883572, Average Loss  0.869982, Time  0.314483
2021-09-11 23:37:32.816078 : Epoch  7, Batch    997, Loss  0.864506, Average Loss  0.870023, Time  0.320850
2021-09-11 23:37:40.851665 : Epoch  7, Batch    998, Loss  0.864605, Average Loss  0.869952, Time  0.438591
2021-09-11 23:37:46.819747 : Epoch  7, Batch    999, Loss  0.854548, Average Loss  0.869825, Time  0.368249
2021-09-11 23:37:57.322935 : Epoch  7, Batch   1000, Loss  0.886008, Average Loss  0.869786, Time  0.367789
2021-09-11 23:38:06.199467 : Epoch  7, Batch   1001, Loss  0.865778, Average Loss  0.869789, Time  0.520347
2021-09-11 23:38:16.217840 : Epoch  7, Batch   1002, Loss  0.856945, Average Loss  0.869754, Time  0.440880
2021-09-11 23:38:27.347209 : Epoch  7, Batch   1003, Loss  0.877480, Average Loss  0.869815, Time  0.458444
2021-09-11 23:38:37.172746 : Epoch  7, Batch   1004, Loss  0.872437, Average Loss  0.869829, Time  0.325532
2021-09-11 23:38:47.020577 : Epoch  7, Batch   1005, Loss  0.865056, Average Loss  0.869809, Time  0.401764
2021-09-11 23:38:56.886339 : Epoch  7, Batch   1006, Loss  0.886379, Average Loss  0.869872, Time  0.479575
2021-09-11 23:39:05.056758 : Epoch  7, Batch   1007, Loss  0.866844, Average Loss  0.869824, Time  0.431316
2021-09-11 23:39:16.278264 : Epoch  7, Batch   1008, Loss  0.881691, Average Loss  0.869974, Time  0.476475
2021-09-11 23:39:24.203138 : Epoch  7, Batch   1009, Loss  0.876153, Average Loss  0.870030, Time  0.391644
2021-09-11 23:39:32.201584 : Epoch  7, Batch   1010, Loss  0.862725, Average Loss  0.869876, Time  0.333004
2021-09-11 23:39:41.320963 : Epoch  7, Batch   1011, Loss  0.873607, Average Loss  0.869884, Time  0.363572
2021-09-11 23:39:49.654033 : Epoch  7, Batch   1012, Loss  0.870484, Average Loss  0.869913, Time  0.340634
2021-09-11 23:39:58.721877 : Epoch  7, Batch   1013, Loss  0.876876, Average Loss  0.869950, Time  0.397936
2021-09-11 23:40:09.739572 : Epoch  7, Batch   1014, Loss  0.858981, Average Loss  0.869869, Time  0.565868
2021-09-11 23:40:17.473585 : Epoch  7, Batch   1015, Loss  0.861718, Average Loss  0.869821, Time  0.343229
2021-09-11 23:40:27.332392 : Epoch  7, Batch   1016, Loss  0.877337, Average Loss  0.869770, Time  0.321929
2021-09-11 23:40:35.363720 : Epoch  7, Batch   1017, Loss  0.857121, Average Loss  0.869728, Time  0.297778
2021-09-11 23:40:41.372792 : Epoch  7, Batch   1018, Loss  0.861901, Average Loss  0.869803, Time  0.298716
2021-09-11 23:40:50.204773 : Epoch  7, Batch   1019, Loss  0.881918, Average Loss  0.869901, Time  0.337951
2021-09-11 23:40:55.725953 : Epoch  7, Batch   1020, Loss  0.869307, Average Loss  0.869914, Time  0.385223
2021-09-11 23:41:04.761344 : Epoch  7, Batch   1021, Loss  0.873837, Average Loss  0.869883, Time  0.329391
2021-09-11 23:41:10.976814 : Epoch  7, Batch   1022, Loss  0.861135, Average Loss  0.869853, Time  0.415833
2021-09-11 23:41:18.437772 : Epoch  7, Batch   1023, Loss  0.860063, Average Loss  0.869769, Time  0.334887
2021-09-11 23:41:23.069933 : Epoch  7, Batch   1024, Loss  0.876209, Average Loss  0.869901, Time  0.347689
2021-09-11 23:41:32.749595 : Epoch  7, Batch   1025, Loss  0.855146, Average Loss  0.869952, Time  0.498416
2021-09-11 23:41:41.182717 : Epoch  7, Batch   1026, Loss  0.857897, Average Loss  0.869951, Time  0.385539
2021-09-11 23:41:50.640986 : Epoch  7, Batch   1027, Loss  0.851278, Average Loss  0.869662, Time  0.396742
2021-09-11 23:41:59.299191 : Epoch  7, Batch   1028, Loss  0.878870, Average Loss  0.869752, Time  0.406942
2021-09-11 23:42:06.242909 : Epoch  7, Batch   1029, Loss  0.871927, Average Loss  0.869807, Time  0.320908
2021-09-11 23:42:14.167803 : Epoch  7, Batch   1030, Loss  0.855265, Average Loss  0.869683, Time  0.241301
2021-09-11 23:42:18.225005 : Epoch  7, Batch   1031, Loss  0.861413, Average Loss  0.869638, Time  0.238906
2021-09-11 23:42:28.213816 : Epoch  7, Batch   1032, Loss  0.879200, Average Loss  0.869747, Time  0.520762
2021-09-11 23:42:31.543444 : Epoch  7, Batch   1033, Loss  0.860597, Average Loss  0.869711, Time  0.346830
2021-09-11 23:42:40.300414 : Epoch  7, Batch   1034, Loss  0.857483, Average Loss  0.869604, Time  0.409237
2021-09-11 23:42:46.720386 : Epoch  7, Batch   1035, Loss  0.868533, Average Loss  0.869602, Time  0.364084
2021-09-11 23:42:55.599160 : Epoch  7, Batch   1036, Loss  0.876567, Average Loss  0.869645, Time  0.594331
2021-09-11 23:43:04.917117 : Epoch  7, Batch   1037, Loss  0.866240, Average Loss  0.869656, Time  0.633407
2021-09-11 23:43:10.394133 : Epoch  7, Batch   1038, Loss  0.863357, Average Loss  0.869597, Time  0.454453
2021-09-11 23:43:20.128178 : Epoch  7, Batch   1039, Loss  0.872882, Average Loss  0.869597, Time  0.314974
2021-09-11 23:43:27.433048 : Epoch  7, Batch   1040, Loss  0.873321, Average Loss  0.869623, Time  0.240025
2021-09-11 23:43:33.553710 : Epoch  7, Batch   1041, Loss  0.850604, Average Loss  0.869521, Time  0.379665
2021-09-11 23:43:38.682349 : Epoch  7, Batch   1042, Loss  0.892703, Average Loss  0.869685, Time  0.258947
2021-09-11 23:43:43.953796 : Epoch  7, Batch   1043, Loss  0.860334, Average Loss  0.869591, Time  0.315836
2021-09-11 23:43:51.150585 : Epoch  7, Batch   1044, Loss  0.867949, Average Loss  0.869486, Time  0.351392
2021-09-11 23:43:56.258367 : Epoch  7, Batch   1045, Loss  0.875569, Average Loss  0.869554, Time  0.317502
2021-09-11 23:44:04.653969 : Epoch  7, Batch   1046, Loss  0.849019, Average Loss  0.869456, Time  0.360722
2021-09-11 23:44:13.905223 : Epoch  7, Batch   1047, Loss  0.866858, Average Loss  0.869401, Time  0.424375
2021-09-11 23:44:23.841585 : Epoch  7, Batch   1048, Loss  0.866897, Average Loss  0.869417, Time  0.571446
2021-09-11 23:44:34.206611 : Epoch  7, Batch   1049, Loss  0.869957, Average Loss  0.869419, Time  0.303503
2021-09-11 23:44:41.438183 : Epoch  7, Batch   1050, Loss  0.849440, Average Loss  0.869365, Time  0.398371
2021-09-11 23:44:49.438808 : Epoch  7, Batch   1051, Loss  0.886209, Average Loss  0.869468, Time  0.330570
2021-09-11 23:44:57.481193 : Epoch  7, Batch   1052, Loss  0.836918, Average Loss  0.869412, Time  0.250585
2021-09-11 23:45:05.591858 : Epoch  7, Batch   1053, Loss  0.875343, Average Loss  0.869446, Time  0.324949
2021-09-11 23:45:17.169760 : Epoch  7, Batch   1054, Loss  0.870316, Average Loss  0.869472, Time  0.335095
2021-09-11 23:45:28.320800 : Epoch  7, Batch   1055, Loss  0.880863, Average Loss  0.869548, Time  0.352093
2021-09-11 23:45:36.313785 : Epoch  7, Batch   1056, Loss  0.870520, Average Loss  0.869665, Time  0.363362
2021-09-11 23:45:40.186893 : Epoch  7, Batch   1057, Loss  0.860661, Average Loss  0.869619, Time  0.297343
2021-09-11 23:45:47.525303 : Epoch  7, Batch   1058, Loss  0.870049, Average Loss  0.869663, Time  0.409634
2021-09-11 23:45:59.796581 : Epoch  7, Batch   1059, Loss  0.868981, Average Loss  0.869620, Time  0.398498
2021-09-11 23:46:07.796001 : Epoch  7, Batch   1060, Loss  0.877576, Average Loss  0.869708, Time  0.330215
2021-09-11 23:46:15.942888 : Epoch  7, Batch   1061, Loss  0.857329, Average Loss  0.869585, Time  0.345476
2021-09-11 23:46:24.992141 : Epoch  7, Batch   1062, Loss  0.877073, Average Loss  0.869525, Time  0.480863
2021-09-11 23:46:37.445874 : Epoch  7, Batch   1063, Loss  0.868001, Average Loss  0.869549, Time  0.476609
2021-09-11 23:46:49.308732 : Epoch  7, Batch   1064, Loss  0.862083, Average Loss  0.869553, Time  0.428716
2021-09-12 00:00:57.196067 : CheckPoint: Validation Loss  0.00029847, Best Loss  0.00029019
2021-09-12 00:01:05.249583 : Epoch  7, Batch   1065, Loss  0.891181, Average Loss  0.869697, Time  0.446685
2021-09-12 00:01:12.668832 : Epoch  7, Batch   1066, Loss  0.853878, Average Loss  0.869626, Time  0.239961
2021-09-12 00:01:20.979580 : Epoch  7, Batch   1067, Loss  0.875927, Average Loss  0.869802, Time  0.415010
2021-09-12 00:01:26.808135 : Epoch  7, Batch   1068, Loss  0.873121, Average Loss  0.869672, Time  0.308345
2021-09-12 00:01:34.584150 : Epoch  7, Batch   1069, Loss  0.868921, Average Loss  0.869682, Time  0.274044
2021-09-12 00:01:41.055055 : Epoch  7, Batch   1070, Loss  0.877662, Average Loss  0.869724, Time  0.304202
2021-09-12 00:01:48.832279 : Epoch  7, Batch   1071, Loss  0.897561, Average Loss  0.869858, Time  0.412452
2021-09-12 00:01:57.651025 : Epoch  7, Batch   1072, Loss  0.873917, Average Loss  0.869895, Time  0.412005
2021-09-12 00:02:05.353417 : Epoch  7, Batch   1073, Loss  0.863644, Average Loss  0.869843, Time  0.362050
2021-09-12 00:02:16.329932 : Epoch  7, Batch   1074, Loss  0.868425, Average Loss  0.869811, Time  0.604510
2021-09-12 00:02:26.120619 : Epoch  7, Batch   1075, Loss  0.871969, Average Loss  0.869766, Time  0.338716
2021-09-12 00:02:33.712436 : Epoch  7, Batch   1076, Loss  0.875109, Average Loss  0.869787, Time  0.422271
2021-09-12 00:02:43.978042 : Epoch  7, Batch   1077, Loss  0.864062, Average Loss  0.869669, Time  0.768162
2021-09-12 00:02:52.085403 : Epoch  7, Batch   1078, Loss  0.858339, Average Loss  0.869546, Time  0.362768
2021-09-12 00:02:58.247985 : Epoch  7, Batch   1079, Loss  0.890716, Average Loss  0.869681, Time  0.413573
2021-09-12 00:03:06.960588 : Epoch  7, Batch   1080, Loss  0.865838, Average Loss  0.869567, Time  0.479251
2021-09-12 00:03:15.524776 : Epoch  7, Batch   1081, Loss  0.876774, Average Loss  0.869634, Time  0.458160
2021-09-12 00:03:24.815004 : Epoch  7, Batch   1082, Loss  0.849698, Average Loss  0.869488, Time  0.344769
2021-09-12 00:03:35.002797 : Epoch  7, Batch   1083, Loss  0.893450, Average Loss  0.869671, Time  0.554404
2021-09-12 00:03:46.868997 : Epoch  7, Batch   1084, Loss  0.884044, Average Loss  0.869799, Time  0.454932
2021-09-12 00:03:56.038950 : Epoch  7, Batch   1085, Loss  0.870871, Average Loss  0.869800, Time  0.399986
2021-09-12 00:04:02.052724 : Epoch  7, Batch   1086, Loss  0.876655, Average Loss  0.869889, Time  0.368942
2021-09-12 00:04:10.922187 : Epoch  7, Batch   1087, Loss  0.864471, Average Loss  0.869855, Time  0.330362
2021-09-12 00:04:22.236018 : Epoch  7, Batch   1088, Loss  0.884287, Average Loss  0.869926, Time  0.480985
2021-09-12 00:04:31.759112 : Epoch  7, Batch   1089, Loss  0.870556, Average Loss  0.870005, Time  0.560061
2021-09-12 00:04:43.801779 : Epoch  7, Batch   1090, Loss  0.877122, Average Loss  0.870013, Time  0.373627
2021-09-12 00:04:52.595037 : Epoch  7, Batch   1091, Loss  0.867643, Average Loss  0.869947, Time  0.461555
2021-09-12 00:04:57.322178 : Epoch  7, Batch   1092, Loss  0.888413, Average Loss  0.870039, Time  0.238204
2021-09-12 00:05:02.407915 : Epoch  7, Batch   1093, Loss  0.838286, Average Loss  0.869886, Time  0.381392
2021-09-12 00:05:10.790354 : Epoch  7, Batch   1094, Loss  0.867993, Average Loss  0.869834, Time  0.362145
2021-09-12 00:05:19.025540 : Epoch  7, Batch   1095, Loss  0.859774, Average Loss  0.869751, Time  0.362674
2021-09-12 00:05:29.703842 : Epoch  7, Batch   1096, Loss  0.870114, Average Loss  0.869758, Time  0.381136
2021-09-12 00:05:35.739592 : Epoch  7, Batch   1097, Loss  0.851710, Average Loss  0.869644, Time  0.296337
2021-09-12 00:05:44.774031 : Epoch  7, Batch   1098, Loss  0.865326, Average Loss  0.869596, Time  0.473488
2021-09-12 00:05:50.992112 : Epoch  7, Batch   1099, Loss  0.882196, Average Loss  0.869629, Time  0.253221
2021-09-12 00:06:01.281642 : Epoch  7, Batch   1100, Loss  0.863825, Average Loss  0.869592, Time  0.320536
2021-09-12 00:06:13.091755 : Epoch  7, Batch   1101, Loss  0.878308, Average Loss  0.869606, Time  0.411760
2021-09-12 00:06:22.212259 : Epoch  7, Batch   1102, Loss  0.879630, Average Loss  0.869597, Time  0.269674
2021-09-12 00:06:31.618817 : Epoch  7, Batch   1103, Loss  0.891102, Average Loss  0.869678, Time  0.347821
2021-09-12 00:06:39.947032 : Epoch  7, Batch   1104, Loss  0.857178, Average Loss  0.869618, Time  0.315399
2021-09-12 00:06:51.470246 : Epoch  7, Batch   1105, Loss  0.837266, Average Loss  0.869420, Time  0.356462
2021-09-12 00:07:00.223857 : Epoch  7, Batch   1106, Loss  0.870201, Average Loss  0.869444, Time  0.310327
2021-09-12 00:07:08.680047 : Epoch  7, Batch   1107, Loss  0.880909, Average Loss  0.869507, Time  0.396899
2021-09-12 00:07:16.657611 : Epoch  7, Batch   1108, Loss  0.863368, Average Loss  0.869452, Time  0.269449
2021-09-12 00:07:26.315849 : Epoch  7, Batch   1109, Loss  0.852746, Average Loss  0.869425, Time  0.357925
2021-09-12 00:07:34.444024 : Epoch  7, Batch   1110, Loss  0.870310, Average Loss  0.869517, Time  0.594403
2021-09-12 00:07:45.896563 : Epoch  7, Batch   1111, Loss  0.882752, Average Loss  0.869631, Time  0.340172
2021-09-12 00:07:50.243460 : Epoch  7, Batch   1112, Loss  0.877183, Average Loss  0.869769, Time  0.432501
2021-09-12 00:08:00.121426 : Epoch  7, Batch   1113, Loss  0.867640, Average Loss  0.869761, Time  0.326403
2021-09-12 00:08:04.456181 : Epoch  7, Batch   1114, Loss  0.873801, Average Loss  0.869743, Time  0.486061
2021-09-12 00:08:13.578794 : Epoch  7, Batch   1115, Loss  0.852535, Average Loss  0.869715, Time  0.569778
2021-09-12 00:08:24.770855 : Epoch  7, Batch   1116, Loss  0.901699, Average Loss  0.869887, Time  0.441033
2021-09-12 00:08:33.466952 : Epoch  7, Batch   1117, Loss  0.877463, Average Loss  0.869934, Time  0.463299
2021-09-12 00:08:38.430464 : Epoch  7, Batch   1118, Loss  0.862805, Average Loss  0.869899, Time  0.239583
2021-09-12 00:08:48.048300 : Epoch  7, Batch   1119, Loss  0.874417, Average Loss  0.869933, Time  0.305953
2021-09-12 00:08:57.790695 : Epoch  7, Batch   1120, Loss  0.871358, Average Loss  0.870047, Time  0.393877
2021-09-12 00:09:08.182714 : Epoch  7, Batch   1121, Loss  0.875996, Average Loss  0.870073, Time  0.486535
2021-09-12 00:09:19.178818 : Epoch  7, Batch   1122, Loss  0.874746, Average Loss  0.870040, Time  0.419987
2021-09-12 00:09:25.737350 : Epoch  7, Batch   1123, Loss  0.871342, Average Loss  0.869998, Time  0.367207
2021-09-12 00:09:34.631954 : Epoch  7, Batch   1124, Loss  0.893925, Average Loss  0.870056, Time  0.358922
2021-09-12 00:09:44.719878 : Epoch  7, Batch   1125, Loss  0.848843, Average Loss  0.869905, Time  0.287906
2021-09-12 00:09:52.540944 : Epoch  7, Batch   1126, Loss  0.877090, Average Loss  0.869902, Time  0.299696
2021-09-12 00:10:02.781942 : Epoch  7, Batch   1127, Loss  0.881862, Average Loss  0.869936, Time  0.272862
2021-09-12 00:10:12.042982 : Epoch  7, Batch   1128, Loss  0.866305, Average Loss  0.869866, Time  0.466441
2021-09-12 00:10:21.694272 : Epoch  7, Batch   1129, Loss  0.884257, Average Loss  0.869871, Time  0.373897
2021-09-12 00:10:32.220092 : Epoch  7, Batch   1130, Loss  0.856597, Average Loss  0.869727, Time  0.345956
2021-09-12 00:10:40.707021 : Epoch  7, Batch   1131, Loss  0.862649, Average Loss  0.869744, Time  0.344019
2021-09-12 00:10:47.716475 : Epoch  7, Batch   1132, Loss  0.868071, Average Loss  0.869743, Time  0.252346
2021-09-12 00:10:56.916035 : Epoch  7, Batch   1133, Loss  0.864795, Average Loss  0.869766, Time  0.303091
2021-09-12 00:11:02.696331 : Epoch  7, Batch   1134, Loss  0.886216, Average Loss  0.869794, Time  0.326611
2021-09-12 00:11:09.246021 : Epoch  7, Batch   1135, Loss  0.863955, Average Loss  0.869751, Time  0.263619
2021-09-12 00:11:15.802775 : Epoch  7, Batch   1136, Loss  0.860318, Average Loss  0.869728, Time  0.463995
2021-09-12 00:11:23.949967 : Epoch  7, Batch   1137, Loss  0.893586, Average Loss  0.870051, Time  0.292562
2021-09-12 00:11:29.609022 : Epoch  7, Batch   1138, Loss  0.863825, Average Loss  0.870088, Time  0.276450
2021-09-12 00:11:33.876767 : Epoch  7, Batch   1139, Loss  0.842941, Average Loss  0.870002, Time  0.372765
2021-09-12 00:11:41.533042 : Epoch  7, Batch   1140, Loss  0.846351, Average Loss  0.869890, Time  0.461428
2021-09-12 00:11:50.453395 : Epoch  7, Batch   1141, Loss  0.887327, Average Loss  0.869959, Time  0.430174
2021-09-12 00:11:58.863088 : Epoch  7, Batch   1142, Loss  0.873989, Average Loss  0.870084, Time  0.522590
2021-09-12 00:12:08.429729 : Epoch  7, Batch   1143, Loss  0.881936, Average Loss  0.870215, Time  0.591237
2021-09-12 00:12:19.304726 : Epoch  7, Batch   1144, Loss  0.853248, Average Loss  0.870179, Time  0.550260
2021-09-12 00:12:23.007041 : Epoch  7, Batch   1145, Loss  0.871519, Average Loss  0.870317, Time  0.299762
2021-09-12 00:12:30.386832 : Epoch  7, Batch   1146, Loss  0.882607, Average Loss  0.870372, Time  0.381834
2021-09-12 00:12:41.149972 : Epoch  7, Batch   1147, Loss  0.851935, Average Loss  0.870271, Time  0.598627
2021-09-12 00:12:49.909028 : Epoch  7, Batch   1148, Loss  0.882931, Average Loss  0.870309, Time  0.398085
2021-09-12 00:12:58.669338 : Epoch  7, Batch   1149, Loss  0.868738, Average Loss  0.870332, Time  0.532590
2021-09-12 00:13:06.482848 : Epoch  7, Batch   1150, Loss  0.844017, Average Loss  0.870314, Time  0.304576
2021-09-12 00:13:13.969575 : Epoch  7, Batch   1151, Loss  0.877745, Average Loss  0.870289, Time  0.388485
2021-09-12 00:13:24.400487 : Epoch  7, Batch   1152, Loss  0.861385, Average Loss  0.870267, Time  0.348774
2021-09-12 00:13:32.956952 : Epoch  7, Batch   1153, Loss  0.873988, Average Loss  0.870304, Time  0.297749
2021-09-12 00:13:41.487895 : Epoch  7, Batch   1154, Loss  0.883386, Average Loss  0.870387, Time  0.350120
2021-09-12 00:13:49.626439 : Epoch  7, Batch   1155, Loss  0.855467, Average Loss  0.870232, Time  0.360555
2021-09-12 00:13:56.927433 : Epoch  7, Batch   1156, Loss  0.880049, Average Loss  0.870376, Time  0.319898
2021-09-12 00:14:03.717000 : Epoch  7, Batch   1157, Loss  0.858349, Average Loss  0.870393, Time  0.288229
2021-09-12 00:14:10.039735 : Epoch  7, Batch   1158, Loss  0.874901, Average Loss  0.870419, Time  0.491351
2021-09-12 00:14:18.198013 : Epoch  7, Batch   1159, Loss  0.878571, Average Loss  0.870397, Time  0.628816
2021-09-12 00:14:26.957055 : Epoch  7, Batch   1160, Loss  0.854345, Average Loss  0.870346, Time  0.566360
2021-09-12 00:14:34.359988 : Epoch  7, Batch   1161, Loss  0.869805, Average Loss  0.870241, Time  0.414140
2021-09-12 00:14:44.595813 : Epoch  7, Batch   1162, Loss  0.871608, Average Loss  0.870278, Time  0.437012
2021-09-12 00:14:54.296465 : Epoch  7, Batch   1163, Loss  0.862799, Average Loss  0.870193, Time  0.484522
2021-09-12 00:15:05.252743 : Epoch  7, Batch   1164, Loss  0.858848, Average Loss  0.870193, Time  0.510618
2021-09-12 00:28:51.584895 : CheckPoint: Validation Loss  0.00030125, Best Loss  0.00029019
2021-09-12 00:29:01.681736 : Epoch  7, Batch   1165, Loss  0.856207, Average Loss  0.870049, Time  0.428401
2021-09-12 00:29:12.259610 : Epoch  7, Batch   1166, Loss  0.864334, Average Loss  0.869995, Time  0.686507
2021-09-12 00:29:21.719004 : Epoch  7, Batch   1167, Loss  0.882325, Average Loss  0.870060, Time  0.317884
2021-09-12 00:29:28.682576 : Epoch  7, Batch   1168, Loss  0.868912, Average Loss  0.869962, Time  0.277609
2021-09-12 00:29:35.593782 : Epoch  7, Batch   1169, Loss  0.880946, Average Loss  0.869994, Time  0.518156
2021-09-12 00:29:46.046923 : Epoch  7, Batch   1170, Loss  0.869041, Average Loss  0.869968, Time  0.545943
2021-09-12 00:29:49.838056 : Epoch  7, Batch   1171, Loss  0.846843, Average Loss  0.869777, Time  0.285903
2021-09-12 00:29:56.353061 : Epoch  7, Batch   1172, Loss  0.889700, Average Loss  0.869856, Time  0.477769
2021-09-12 00:30:00.616020 : Epoch  7, Batch   1173, Loss  0.879410, Average Loss  0.869893, Time  0.275927
2021-09-12 00:30:07.087923 : Epoch  7, Batch   1174, Loss  0.894055, Average Loss  0.870065, Time  0.428129
2021-09-12 00:30:14.056583 : Epoch  7, Batch   1175, Loss  0.879945, Average Loss  0.870032, Time  0.295639
2021-09-12 00:30:20.879170 : Epoch  7, Batch   1176, Loss  0.850420, Average Loss  0.869931, Time  0.334980
2021-09-12 00:30:30.554134 : Epoch  7, Batch   1177, Loss  0.865215, Average Loss  0.869902, Time  0.387599
2021-09-12 00:30:36.728092 : Epoch  7, Batch   1178, Loss  0.869959, Average Loss  0.869828, Time  0.458489
2021-09-12 00:30:44.293155 : Epoch  7, Batch   1179, Loss  0.862887, Average Loss  0.869772, Time  0.311252
2021-09-12 00:30:53.045080 : Epoch  7, Batch   1180, Loss  0.860172, Average Loss  0.869676, Time  0.642949
2021-09-12 00:31:04.860229 : Epoch  7, Batch   1181, Loss  0.866489, Average Loss  0.869545, Time  0.321203
2021-09-12 00:31:13.234087 : Epoch  7, Batch   1182, Loss  0.880039, Average Loss  0.869614, Time  0.389544
2021-09-12 00:31:23.584586 : Epoch  7, Batch   1183, Loss  0.869933, Average Loss  0.869557, Time  0.611176
2021-09-12 00:31:34.789390 : Epoch  7, Batch   1184, Loss  0.838989, Average Loss  0.869392, Time  0.624293
2021-09-12 00:31:43.821201 : Epoch  7, Batch   1185, Loss  0.866927, Average Loss  0.869374, Time  0.359395
2021-09-12 00:31:53.189119 : Epoch  7, Batch   1186, Loss  0.881182, Average Loss  0.869410, Time  0.339192
2021-09-12 00:32:03.653983 : Epoch  7, Batch   1187, Loss  0.876949, Average Loss  0.869456, Time  0.375607
2021-09-12 00:32:15.337028 : Epoch  7, Batch   1188, Loss  0.872777, Average Loss  0.869517, Time  0.348406
2021-09-12 00:32:24.776746 : Epoch  7, Batch   1189, Loss  0.875702, Average Loss  0.869551, Time  0.285481
2021-09-12 00:32:30.829942 : Epoch  7, Batch   1190, Loss  0.861813, Average Loss  0.869512, Time  0.377787
2021-09-12 00:32:39.829999 : Epoch  7, Batch   1191, Loss  0.871970, Average Loss  0.869499, Time  0.279431
2021-09-12 00:32:49.748027 : Epoch  7, Batch   1192, Loss  0.868595, Average Loss  0.869569, Time  0.438063
2021-09-12 00:33:00.456870 : Epoch  7, Batch   1193, Loss  0.863385, Average Loss  0.869556, Time  0.240012
2021-09-12 00:33:14.000135 : Epoch  7, Batch   1194, Loss  0.883180, Average Loss  0.869529, Time  0.359596
2021-09-12 00:33:25.278364 : Epoch  7, Batch   1195, Loss  0.871334, Average Loss  0.869477, Time  0.385365
2021-09-12 00:33:35.038242 : Epoch  7, Batch   1196, Loss  0.857939, Average Loss  0.869349, Time  0.290442
2021-09-12 00:33:46.465378 : Epoch  7, Batch   1197, Loss  0.868874, Average Loss  0.869371, Time  0.361753
2021-09-12 00:33:56.882585 : Epoch  7, Batch   1198, Loss  0.885605, Average Loss  0.869476, Time  0.385445
2021-09-12 00:34:09.244625 : Epoch  7, Batch   1199, Loss  0.864767, Average Loss  0.869527, Time  0.443153
2021-09-12 00:34:19.621150 : Epoch  7, Batch   1200, Loss  0.864564, Average Loss  0.869419, Time  0.239672
2021-09-12 00:34:30.518166 : Epoch  7, Batch   1201, Loss  0.860956, Average Loss  0.869395, Time  0.298594
2021-09-12 00:34:39.593374 : Epoch  7, Batch   1202, Loss  0.866780, Average Loss  0.869445, Time  0.476559
2021-09-12 00:34:42.487584 : Epoch  7, Batch   1203, Loss  0.882620, Average Loss  0.869470, Time  0.256152
2021-09-12 00:34:52.050527 : Epoch  7, Batch   1204, Loss  0.885260, Average Loss  0.869534, Time  0.484770
2021-09-12 00:35:02.327021 : Epoch  7, Batch   1205, Loss  0.852757, Average Loss  0.869473, Time  0.344367
2021-09-12 00:35:07.004833 : Epoch  7, Batch   1206, Loss  0.862787, Average Loss  0.869355, Time  0.497781
2021-09-12 00:35:12.828994 : Epoch  7, Batch   1207, Loss  0.865345, Average Loss  0.869347, Time  0.239466
2021-09-12 00:35:23.156245 : Epoch  7, Batch   1208, Loss  0.868194, Average Loss  0.869280, Time  0.346944
2021-09-12 00:35:25.864803 : Epoch  7, Batch   1209, Loss  0.878959, Average Loss  0.869294, Time  0.256262
2021-09-12 00:35:34.193567 : Epoch  7, Batch   1210, Loss  0.860536, Average Loss  0.869283, Time  0.587705
2021-09-12 00:35:46.509385 : Epoch  7, Batch   1211, Loss  0.862653, Average Loss  0.869228, Time  0.290258
2021-09-12 00:35:57.691350 : Epoch  7, Batch   1212, Loss  0.883551, Average Loss  0.869294, Time  0.602370
2021-09-12 00:36:09.851082 : Epoch  7, Batch   1213, Loss  0.860376, Average Loss  0.869211, Time  0.488892
2021-09-12 00:36:14.188368 : Epoch  7, Batch   1214, Loss  0.864320, Average Loss  0.869238, Time  0.364818
2021-09-12 00:36:20.761592 : Epoch  7, Batch   1215, Loss  0.854931, Average Loss  0.869204, Time  0.329101
2021-09-12 00:36:31.576064 : Epoch  7, Batch   1216, Loss  0.849793, Average Loss  0.869066, Time  0.503516
2021-09-12 00:36:41.329081 : Epoch  7, Batch   1217, Loss  0.856907, Average Loss  0.869065, Time  0.472493
2021-09-12 00:36:51.895420 : Epoch  7, Batch   1218, Loss  0.862723, Average Loss  0.869069, Time  0.397326
2021-09-12 00:37:01.841344 : Epoch  7, Batch   1219, Loss  0.861525, Average Loss  0.868967, Time  0.465485
2021-09-12 00:37:10.829745 : Epoch  7, Batch   1220, Loss  0.865497, Average Loss  0.868948, Time  0.339389
2021-09-12 00:37:17.335149 : Epoch  7, Batch   1221, Loss  0.894345, Average Loss  0.869051, Time  0.280787
2021-09-12 00:37:25.762736 : Epoch  7, Batch   1222, Loss  0.861110, Average Loss  0.869051, Time  0.283423
2021-09-12 00:37:32.103827 : Epoch  7, Batch   1223, Loss  0.886684, Average Loss  0.869184, Time  0.291035
2021-09-12 00:37:37.211189 : Epoch  7, Batch   1224, Loss  0.862342, Average Loss  0.869114, Time  0.238197
2021-09-12 00:37:42.392913 : Epoch  7, Batch   1225, Loss  0.879053, Average Loss  0.869234, Time  0.466691
2021-09-12 00:37:52.141071 : Epoch  7, Batch   1226, Loss  0.887861, Average Loss  0.869384, Time  0.508998
2021-09-12 00:38:00.668361 : Epoch  7, Batch   1227, Loss  0.865177, Average Loss  0.869453, Time  0.475470
2021-09-12 00:38:10.185838 : Epoch  7, Batch   1228, Loss  0.850812, Average Loss  0.869313, Time  0.462625
2021-09-12 00:38:21.154953 : Epoch  7, Batch   1229, Loss  0.876496, Average Loss  0.869336, Time  0.348969
2021-09-12 00:38:29.245316 : Epoch  7, Batch   1230, Loss  0.866241, Average Loss  0.869391, Time  0.409025
2021-09-12 00:38:41.073036 : Epoch  7, Batch   1231, Loss  0.889820, Average Loss  0.869533, Time  0.483806
2021-09-12 00:38:51.736007 : Epoch  7, Batch   1232, Loss  0.880897, Average Loss  0.869541, Time  0.319819
2021-09-12 00:39:02.466258 : Epoch  7, Batch   1233, Loss  0.854620, Average Loss  0.869511, Time  0.324983
2021-09-12 00:39:09.639348 : Epoch  7, Batch   1234, Loss  0.862912, Average Loss  0.869538, Time  0.260993
2021-09-12 00:39:20.574006 : Epoch  7, Batch   1235, Loss  0.875379, Average Loss  0.869573, Time  0.519186
2021-09-12 00:39:30.941984 : Epoch  7, Batch   1236, Loss  0.897153, Average Loss  0.869676, Time  0.279130
2021-09-12 00:39:43.190884 : Epoch  7, Batch   1237, Loss  0.901381, Average Loss  0.869851, Time  0.582535
2021-09-12 00:39:53.020952 : Epoch  7, Batch   1238, Loss  0.861761, Average Loss  0.869843, Time  0.484308
2021-09-12 00:40:03.681127 : Epoch  7, Batch   1239, Loss  0.866047, Average Loss  0.869809, Time  0.454488
2021-09-12 00:40:13.407011 : Epoch  7, Batch   1240, Loss  0.874958, Average Loss  0.869817, Time  0.525775
2021-09-12 00:40:23.829146 : Epoch  7, Batch   1241, Loss  0.871383, Average Loss  0.869921, Time  0.337406
2021-09-12 00:40:32.690778 : Epoch  7, Batch   1242, Loss  0.883919, Average Loss  0.869877, Time  0.265997
2021-09-12 00:40:41.164149 : Epoch  7, Batch   1243, Loss  0.862710, Average Loss  0.869889, Time  0.292564
2021-09-12 00:40:48.484802 : Epoch  7, Batch   1244, Loss  0.870320, Average Loss  0.869901, Time  0.342421
2021-09-12 00:40:59.862806 : Epoch  7, Batch   1245, Loss  0.869669, Average Loss  0.869872, Time  0.503290
2021-09-12 00:41:09.474764 : Epoch  7, Batch   1246, Loss  0.882590, Average Loss  0.870039, Time  0.318910
2021-09-12 00:41:18.741154 : Epoch  7, Batch   1247, Loss  0.874701, Average Loss  0.870079, Time  0.426795
2021-09-12 00:41:28.067163 : Epoch  7, Batch   1248, Loss  0.864909, Average Loss  0.870069, Time  0.470627
2021-09-12 00:41:38.272810 : Epoch  7, Batch   1249, Loss  0.854290, Average Loss  0.869990, Time  0.526879
2021-09-12 00:41:46.882608 : Epoch  7, Batch   1250, Loss  0.887858, Average Loss  0.870182, Time  0.347626
2021-09-12 00:41:55.823815 : Epoch  7, Batch   1251, Loss  0.871784, Average Loss  0.870110, Time  0.294845
2021-09-12 00:42:05.084165 : Epoch  7, Batch   1252, Loss  0.881301, Average Loss  0.870332, Time  0.533655
2021-09-12 00:42:13.856836 : Epoch  7, Batch   1253, Loss  0.854003, Average Loss  0.870225, Time  0.300448
2021-09-12 00:42:22.723954 : Epoch  7, Batch   1254, Loss  0.878398, Average Loss  0.870266, Time  0.272182
2021-09-12 00:42:30.379433 : Epoch  7, Batch   1255, Loss  0.885039, Average Loss  0.870287, Time  0.464631
2021-09-12 00:42:38.799566 : Epoch  7, Batch   1256, Loss  0.858200, Average Loss  0.870225, Time  0.517862
2021-09-12 00:42:49.772858 : Epoch  7, Batch   1257, Loss  0.837288, Average Loss  0.870108, Time  0.445786
2021-09-12 00:42:58.013570 : Epoch  7, Batch   1258, Loss  0.883922, Average Loss  0.870178, Time  0.397250
2021-09-12 00:43:01.384937 : Epoch  7, Batch   1259, Loss  0.866109, Average Loss  0.870163, Time  0.405256
2021-09-12 00:43:10.707291 : Epoch  7, Batch   1260, Loss  0.858820, Average Loss  0.870070, Time  0.311005
2021-09-12 00:43:21.345575 : Epoch  7, Batch   1261, Loss  0.845987, Average Loss  0.870013, Time  0.510833
2021-09-12 00:43:29.300025 : Epoch  7, Batch   1262, Loss  0.854138, Average Loss  0.869898, Time  0.381090
2021-09-12 00:43:33.543447 : Epoch  7, Batch   1263, Loss  0.872642, Average Loss  0.869921, Time  0.375021
2021-09-12 00:43:40.694844 : Epoch  7, Batch   1264, Loss  0.875087, Average Loss  0.869986, Time  0.270966
2021-09-12 00:57:20.832000 : CheckPoint: Validation Loss  0.00029843, Best Loss  0.00029019
2021-09-12 00:57:32.608965 : Epoch  7, Batch   1265, Loss  0.865873, Average Loss  0.869860, Time  0.374218
2021-09-12 00:57:41.726922 : Epoch  7, Batch   1266, Loss  0.877458, Average Loss  0.869978, Time  0.374664
2021-09-12 00:57:51.710866 : Epoch  7, Batch   1267, Loss  0.862272, Average Loss  0.869909, Time  0.395939
2021-09-12 00:58:02.037806 : Epoch  7, Batch   1268, Loss  0.877710, Average Loss  0.869932, Time  0.326730
2021-09-12 00:58:09.398450 : Epoch  7, Batch   1269, Loss  0.886375, Average Loss  0.870020, Time  0.391829
2021-09-12 00:58:18.652891 : Epoch  7, Batch   1270, Loss  0.868533, Average Loss  0.869974, Time  0.437942
2021-09-12 00:58:28.953056 : Epoch  7, Batch   1271, Loss  0.867876, Average Loss  0.869826, Time  0.282192
2021-09-12 00:58:36.858406 : Epoch  7, Batch   1272, Loss  0.893267, Average Loss  0.869922, Time  0.284997
2021-09-12 00:58:42.397831 : Epoch  7, Batch   1273, Loss  0.851542, Average Loss  0.869862, Time  0.339420
2021-09-12 00:58:53.799966 : Epoch  7, Batch   1274, Loss  0.870597, Average Loss  0.869873, Time  0.345337
2021-09-12 00:59:00.536587 : Epoch  7, Batch   1275, Loss  0.887489, Average Loss  0.869950, Time  0.633166
2021-09-12 00:59:10.473181 : Epoch  7, Batch   1276, Loss  0.876887, Average Loss  0.869959, Time  0.344171
2021-09-12 00:59:19.211030 : Epoch  7, Batch   1277, Loss  0.858906, Average Loss  0.869933, Time  0.426328
2021-09-12 00:59:26.677218 : Epoch  7, Batch   1278, Loss  0.867090, Average Loss  0.869977, Time  0.368457
2021-09-12 00:59:34.305266 : Epoch  7, Batch   1279, Loss  0.885620, Average Loss  0.869952, Time  0.384593
2021-09-12 00:59:44.502578 : Epoch  7, Batch   1280, Loss  0.885466, Average Loss  0.870050, Time  0.340224
2021-09-12 00:59:53.644914 : Epoch  7, Batch   1281, Loss  0.853938, Average Loss  0.869936, Time  0.420336
2021-09-12 01:00:04.848373 : Epoch  7, Batch   1282, Loss  0.855881, Average Loss  0.869967, Time  0.313484
2021-09-12 01:00:10.494294 : Epoch  7, Batch   1283, Loss  0.857592, Average Loss  0.869787, Time  0.299403
2021-09-12 01:00:13.435155 : Epoch  7, Batch   1284, Loss  0.883793, Average Loss  0.869786, Time  0.238559
2021-09-12 01:00:21.628811 : Epoch  7, Batch   1285, Loss  0.863791, Average Loss  0.869751, Time  0.543971
2021-09-12 01:00:31.051056 : Epoch  7, Batch   1286, Loss  0.876978, Average Loss  0.869752, Time  0.408686
2021-09-12 01:00:34.486207 : Epoch  7, Batch   1287, Loss  0.841527, Average Loss  0.869638, Time  0.275545
2021-09-12 01:00:41.759784 : Epoch  7, Batch   1288, Loss  0.873714, Average Loss  0.869585, Time  0.308242
2021-09-12 01:00:49.721833 : Epoch  7, Batch   1289, Loss  0.861272, Average Loss  0.869538, Time  0.401463
2021-09-12 01:00:59.027982 : Epoch  7, Batch   1290, Loss  0.892578, Average Loss  0.869616, Time  0.547620
2021-09-12 01:01:07.051396 : Epoch  7, Batch   1291, Loss  0.858901, Average Loss  0.869572, Time  0.360146
2021-09-12 01:01:15.837900 : Epoch  7, Batch   1292, Loss  0.880759, Average Loss  0.869534, Time  0.419885
2021-09-12 01:01:25.991968 : Epoch  7, Batch   1293, Loss  0.863021, Average Loss  0.869657, Time  0.500570
2021-09-12 01:01:30.502885 : Epoch  7, Batch   1294, Loss  0.864044, Average Loss  0.869637, Time  0.291071
2021-09-12 01:01:35.516932 : Epoch  7, Batch   1295, Loss  0.875972, Average Loss  0.869718, Time  0.441829
2021-09-12 01:01:41.471840 : Epoch  7, Batch   1296, Loss  0.861424, Average Loss  0.869675, Time  0.540706
2021-09-12 01:01:48.099175 : Epoch  7, Batch   1297, Loss  0.876289, Average Loss  0.869798, Time  0.300972
2021-09-12 01:01:55.072257 : Epoch  7, Batch   1298, Loss  0.882742, Average Loss  0.869885, Time  0.264374
2021-09-12 01:02:01.217864 : Epoch  7, Batch   1299, Loss  0.860503, Average Loss  0.869777, Time  0.387930
2021-09-12 01:02:08.819094 : Epoch  7, Batch   1300, Loss  0.868655, Average Loss  0.869801, Time  0.350948
2021-09-12 01:02:16.013004 : Epoch  7, Batch   1301, Loss  0.868747, Average Loss  0.869753, Time  0.482792
2021-09-12 01:02:27.013681 : Epoch  7, Batch   1302, Loss  0.877027, Average Loss  0.869740, Time  0.483559
2021-09-12 01:02:39.591607 : Epoch  7, Batch   1303, Loss  0.844310, Average Loss  0.869506, Time  0.324838
2021-09-12 01:02:48.116982 : Epoch  7, Batch   1304, Loss  0.891603, Average Loss  0.869678, Time  0.321921
2021-09-12 01:02:51.784308 : Epoch  7, Batch   1305, Loss  0.873509, Average Loss  0.869859, Time  0.334853
2021-09-12 01:03:01.186891 : Epoch  7, Batch   1306, Loss  0.871948, Average Loss  0.869868, Time  0.557475
2021-09-12 01:03:11.878959 : Epoch  7, Batch   1307, Loss  0.872672, Average Loss  0.869827, Time  0.380210
2021-09-12 01:03:17.750132 : Epoch  7, Batch   1308, Loss  0.841648, Average Loss  0.869718, Time  0.444938
2021-09-12 01:03:25.228936 : Epoch  7, Batch   1309, Loss  0.861748, Average Loss  0.869763, Time  0.367437
2021-09-12 01:03:28.324015 : Epoch  7, Batch   1310, Loss  0.868941, Average Loss  0.869756, Time  0.317967
2021-09-12 01:03:32.866189 : Epoch  7, Batch   1311, Loss  0.862863, Average Loss  0.869657, Time  0.297600
2021-09-12 01:03:42.839873 : Epoch  7, Batch   1312, Loss  0.865317, Average Loss  0.869598, Time  0.472727
2021-09-12 01:03:46.289396 : Epoch  7, Batch   1313, Loss  0.861548, Average Loss  0.869567, Time  0.308967
2021-09-12 01:03:55.623352 : Epoch  7, Batch   1314, Loss  0.843668, Average Loss  0.869416, Time  0.499429
2021-09-12 01:04:02.454063 : Epoch  7, Batch   1315, Loss  0.904431, Average Loss  0.869676, Time  0.452424
2021-09-12 01:04:11.463857 : Epoch  7, Batch   1316, Loss  0.885235, Average Loss  0.869594, Time  0.264966
2021-09-12 01:04:21.985548 : Epoch  7, Batch   1317, Loss  0.867851, Average Loss  0.869546, Time  0.286514
2021-09-12 01:04:26.894992 : Epoch  7, Batch   1318, Loss  0.872927, Average Loss  0.869596, Time  0.237425
2021-09-12 01:04:33.902095 : Epoch  7, Batch   1319, Loss  0.863677, Average Loss  0.869542, Time  0.339855
2021-09-12 01:04:39.788918 : Epoch  7, Batch   1320, Loss  0.870877, Average Loss  0.869540, Time  0.243162
2021-09-12 01:04:49.466508 : Epoch  7, Batch   1321, Loss  0.880828, Average Loss  0.869564, Time  0.309150
2021-09-12 01:04:57.744651 : Epoch  7, Batch   1322, Loss  0.855142, Average Loss  0.869466, Time  0.397717
2021-09-12 01:05:04.446377 : Epoch  7, Batch   1323, Loss  0.846873, Average Loss  0.869344, Time  0.324567
2021-09-12 01:05:10.432918 : Epoch  7, Batch   1324, Loss  0.849189, Average Loss  0.869120, Time  0.441875
2021-09-12 01:05:20.604934 : Epoch  7, Batch   1325, Loss  0.863808, Average Loss  0.869195, Time  0.429578
2021-09-12 01:05:28.680870 : Epoch  7, Batch   1326, Loss  0.869157, Average Loss  0.869155, Time  0.733826
2021-09-12 01:05:34.347141 : Epoch  7, Batch   1327, Loss  0.846384, Average Loss  0.868978, Time  0.246788
2021-09-12 01:05:42.036822 : Epoch  7, Batch   1328, Loss  0.872436, Average Loss  0.869009, Time  0.321853
2021-09-12 01:05:47.968481 : Epoch  7, Batch   1329, Loss  0.885232, Average Loss  0.869013, Time  0.259560
2021-09-12 01:05:56.028071 : Epoch  7, Batch   1330, Loss  0.868559, Average Loss  0.869073, Time  0.238175
2021-09-12 01:06:01.220077 : Epoch  7, Batch   1331, Loss  0.869931, Average Loss  0.869110, Time  0.361602
2021-09-12 01:06:10.403247 : Epoch  7, Batch   1332, Loss  0.844505, Average Loss  0.868992, Time  0.574308
2021-09-12 01:06:19.800946 : Epoch  7, Batch   1333, Loss  0.860730, Average Loss  0.868972, Time  0.412027
2021-09-12 01:06:28.371473 : Epoch  7, Batch   1334, Loss  0.852133, Average Loss  0.868801, Time  0.350582
2021-09-12 01:06:33.125650 : Epoch  7, Batch   1335, Loss  0.860310, Average Loss  0.868783, Time  0.307242
2021-09-12 01:06:38.222172 : Epoch  7, Batch   1336, Loss  0.878743, Average Loss  0.868875, Time  0.237482
2021-09-12 01:06:44.398875 : Epoch  7, Batch   1337, Loss  0.876520, Average Loss  0.868790, Time  0.578556
2021-09-12 01:06:53.004866 : Epoch  7, Batch   1338, Loss  0.863005, Average Loss  0.868786, Time  0.563131
2021-09-12 01:06:59.868081 : Epoch  7, Batch   1339, Loss  0.881455, Average Loss  0.868978, Time  0.413773
2021-09-12 01:07:06.388991 : Epoch  7, Batch   1340, Loss  0.841485, Average Loss  0.868954, Time  0.417929
2021-09-12 01:07:11.739874 : Epoch  7, Batch   1341, Loss  0.852927, Average Loss  0.868782, Time  0.550245
2021-09-12 01:07:21.139965 : Epoch  7, Batch   1342, Loss  0.878849, Average Loss  0.868806, Time  0.384647
2021-09-12 01:07:29.264912 : Epoch  7, Batch   1343, Loss  0.868783, Average Loss  0.868740, Time  0.473508
2021-09-12 01:07:33.623420 : Epoch  7, Batch   1344, Loss  0.894251, Average Loss  0.868945, Time  0.276990
2021-09-12 01:07:38.851903 : Epoch  7, Batch   1345, Loss  0.877550, Average Loss  0.868976, Time  0.339896
2021-09-12 01:07:45.468100 : Epoch  7, Batch   1346, Loss  0.852850, Average Loss  0.868827, Time  0.597687
2021-09-12 01:07:51.611452 : Epoch  7, Batch   1347, Loss  0.867105, Average Loss  0.868903, Time  0.286351
2021-09-12 01:08:01.976960 : Epoch  7, Batch   1348, Loss  0.876061, Average Loss  0.868868, Time  0.376945
2021-09-12 01:08:07.280941 : Epoch  7, Batch   1349, Loss  0.859945, Average Loss  0.868824, Time  0.366375
2021-09-12 01:08:13.521403 : Epoch  7, Batch   1350, Loss  0.877547, Average Loss  0.868992, Time  0.257236
2021-09-12 01:08:20.725455 : Epoch  7, Batch   1351, Loss  0.868935, Average Loss  0.868948, Time  0.283340
2021-09-12 01:08:28.304853 : Epoch  7, Batch   1352, Loss  0.888717, Average Loss  0.869085, Time  0.288466
2021-09-12 01:08:34.793993 : Epoch  7, Batch   1353, Loss  0.867957, Average Loss  0.869054, Time  0.320196
2021-09-12 01:08:42.580440 : Epoch  7, Batch   1354, Loss  0.884549, Average Loss  0.869060, Time  0.489720
2021-09-12 01:08:49.561481 : Epoch  7, Batch   1355, Loss  0.849691, Average Loss  0.869031, Time  0.365410
2021-09-12 01:08:54.584533 : Epoch  7, Batch   1356, Loss  0.877360, Average Loss  0.869018, Time  0.287502
2021-09-12 01:09:03.468071 : Epoch  7, Batch   1357, Loss  0.897948, Average Loss  0.869216, Time  0.353715
2021-09-12 01:09:14.045018 : Epoch  7, Batch   1358, Loss  0.880676, Average Loss  0.869245, Time  0.326310
2021-09-12 01:09:19.186477 : Epoch  7, Batch   1359, Loss  0.877646, Average Loss  0.869240, Time  0.290544
2021-09-12 01:09:26.486911 : Epoch  7, Batch   1360, Loss  0.859223, Average Loss  0.869265, Time  0.451968
2021-09-12 01:09:37.820827 : Epoch  7, Batch   1361, Loss  0.850020, Average Loss  0.869166, Time  0.360688
2021-09-12 01:09:44.929486 : Epoch  7, Batch   1362, Loss  0.884813, Average Loss  0.869232, Time  0.413329
2021-09-12 01:09:51.116294 : Epoch  7, Batch   1363, Loss  0.872977, Average Loss  0.869283, Time  0.300656
2021-09-12 01:09:59.089997 : Epoch  7, Batch   1364, Loss  0.875255, Average Loss  0.869365, Time  0.351451
2021-09-12 01:22:49.850779 : CheckPoint: Validation Loss  0.00030295, Best Loss  0.00029019
2021-09-12 01:22:58.056262 : Epoch  7, Batch   1365, Loss  0.899159, Average Loss  0.869579, Time  0.376556
2021-09-12 01:23:02.549548 : Epoch  7, Batch   1366, Loss  0.859714, Average Loss  0.869556, Time  0.411421
2021-09-12 01:23:08.635301 : Epoch  7, Batch   1367, Loss  0.879710, Average Loss  0.869543, Time  0.594753
2021-09-12 01:23:14.717632 : Epoch  7, Batch   1368, Loss  0.872341, Average Loss  0.869560, Time  0.371537
2021-09-12 01:23:20.144702 : Epoch  7, Batch   1369, Loss  0.857723, Average Loss  0.869444, Time  0.465006
2021-09-12 01:23:28.052932 : Epoch  7, Batch   1370, Loss  0.883920, Average Loss  0.869519, Time  0.422521
2021-09-12 01:23:37.421174 : Epoch  7, Batch   1371, Loss  0.861688, Average Loss  0.869593, Time  0.327451
2021-09-12 01:23:45.855993 : Epoch  7, Batch   1372, Loss  0.867770, Average Loss  0.869483, Time  0.376682
2021-09-12 01:23:57.481654 : Epoch  7, Batch   1373, Loss  0.839473, Average Loss  0.869283, Time  0.401248
2021-09-12 01:24:05.477818 : Epoch  7, Batch   1374, Loss  0.868280, Average Loss  0.869155, Time  0.325387
2021-09-12 01:24:14.807677 : Epoch  7, Batch   1375, Loss  0.852119, Average Loss  0.869015, Time  0.502206
2021-09-12 01:24:21.088241 : Epoch  7, Batch   1376, Loss  0.883584, Average Loss  0.869181, Time  0.337223
2021-09-12 01:24:29.133180 : Epoch  7, Batch   1377, Loss  0.847039, Average Loss  0.869090, Time  0.336910
2021-09-12 01:24:39.549734 : Epoch  7, Batch   1378, Loss  0.860771, Average Loss  0.869044, Time  0.448702
2021-09-12 01:24:48.575094 : Epoch  7, Batch   1379, Loss  0.863694, Average Loss  0.869048, Time  0.303875
2021-09-12 01:24:58.004871 : Epoch  7, Batch   1380, Loss  0.872570, Average Loss  0.869110, Time  0.349010
2021-09-12 01:25:07.547756 : Epoch  7, Batch   1381, Loss  0.862600, Average Loss  0.869091, Time  0.407858
2021-09-12 01:25:17.817936 : Epoch  7, Batch   1382, Loss  0.864189, Average Loss  0.869012, Time  0.474001
2021-09-12 01:25:23.107986 : Epoch  7, Batch   1383, Loss  0.884480, Average Loss  0.869085, Time  0.422463
2021-09-12 01:25:26.759704 : Epoch  7, Batch   1384, Loss  0.842943, Average Loss  0.869104, Time  0.370743
2021-09-12 01:25:35.795814 : Epoch  7, Batch   1385, Loss  0.877627, Average Loss  0.869158, Time  0.382565
2021-09-12 01:25:44.834160 : Epoch  7, Batch   1386, Loss  0.878714, Average Loss  0.869145, Time  0.237552
2021-09-12 01:25:51.533674 : Epoch  7, Batch   1387, Loss  0.847933, Average Loss  0.869000, Time  0.318240
2021-09-12 01:25:59.696228 : Epoch  7, Batch   1388, Loss  0.844000, Average Loss  0.868856, Time  0.471757
2021-09-12 01:26:08.871034 : Epoch  7, Batch   1389, Loss  0.850519, Average Loss  0.868731, Time  0.668417
2021-09-12 01:26:16.681633 : Epoch  7, Batch   1390, Loss  0.855229, Average Loss  0.868698, Time  0.789228
2021-09-12 01:26:25.259058 : Epoch  7, Batch   1391, Loss  0.890319, Average Loss  0.868789, Time  0.341684
2021-09-12 01:26:30.630819 : Epoch  7, Batch   1392, Loss  0.861002, Average Loss  0.868751, Time  0.398101
2021-09-12 01:26:38.366507 : Epoch  7, Batch   1393, Loss  0.868819, Average Loss  0.868779, Time  0.388422
2021-09-12 01:26:48.486059 : Epoch  7, Batch   1394, Loss  0.869261, Average Loss  0.868709, Time  0.512954
2021-09-12 01:26:59.005767 : Epoch  7, Batch   1395, Loss  0.875151, Average Loss  0.868728, Time  0.539209
2021-09-12 01:27:10.996922 : Epoch  7, Batch   1396, Loss  0.866405, Average Loss  0.868770, Time  0.303133
2021-09-12 01:27:19.198508 : Epoch  7, Batch   1397, Loss  0.876153, Average Loss  0.868807, Time  0.343528
2021-09-12 01:27:28.888099 : Epoch  7, Batch   1398, Loss  0.879769, Average Loss  0.868778, Time  0.360359
2021-09-12 01:27:40.590944 : Epoch  7, Batch   1399, Loss  0.883095, Average Loss  0.868869, Time  0.624126
2021-09-12 01:27:49.630152 : Epoch  7, Batch   1400, Loss  0.883341, Average Loss  0.868963, Time  0.248936
2021-09-12 01:27:59.774742 : Epoch  7, Batch   1401, Loss  0.859355, Average Loss  0.868955, Time  0.355114
2021-09-12 01:28:11.266296 : Epoch  7, Batch   1402, Loss  0.877601, Average Loss  0.869009, Time  0.378612
2021-09-12 01:28:17.052105 : Epoch  7, Batch   1403, Loss  0.874962, Average Loss  0.868971, Time  0.341949
2021-09-12 01:28:25.686949 : Epoch  7, Batch   1404, Loss  0.865021, Average Loss  0.868870, Time  0.309703
2021-09-12 01:28:29.523675 : Epoch  7, Batch   1405, Loss  0.871608, Average Loss  0.868964, Time  0.328830
2021-09-12 01:28:35.760384 : Epoch  7, Batch   1406, Loss  0.837042, Average Loss  0.868835, Time  0.236787
2021-09-12 01:28:41.940363 : Epoch  7, Batch   1407, Loss  0.856224, Average Loss  0.868790, Time  0.316459
2021-09-12 01:28:52.877359 : Epoch  7, Batch   1408, Loss  0.866946, Average Loss  0.868783, Time  0.456175
2021-09-12 01:29:01.542946 : Epoch  7, Batch   1409, Loss  0.873431, Average Loss  0.868756, Time  0.280157
2021-09-12 01:29:10.133992 : Epoch  7, Batch   1410, Loss  0.869462, Average Loss  0.868800, Time  0.432499
2021-09-12 01:29:18.727628 : Epoch  7, Batch   1411, Loss  0.862171, Average Loss  0.868798, Time  0.294732
2021-09-12 01:29:30.030690 : Epoch  7, Batch   1412, Loss  0.856348, Average Loss  0.868662, Time  0.381379
2021-09-12 01:29:33.910607 : Epoch  7, Batch   1413, Loss  0.866485, Average Loss  0.868693, Time  0.511393
2021-09-12 01:29:44.388609 : Epoch  7, Batch   1414, Loss  0.874145, Average Loss  0.868742, Time  0.498770
2021-09-12 01:29:55.593311 : Epoch  7, Batch   1415, Loss  0.850005, Average Loss  0.868717, Time  0.376468
2021-09-12 01:30:06.329665 : Epoch  7, Batch   1416, Loss  0.878653, Average Loss  0.868861, Time  0.323450
2021-09-12 01:30:13.588580 : Epoch  7, Batch   1417, Loss  0.855059, Average Loss  0.868852, Time  0.295205
2021-09-12 01:30:22.554723 : Epoch  7, Batch   1418, Loss  0.863265, Average Loss  0.868855, Time  0.561801
2021-09-12 01:30:30.850402 : Epoch  7, Batch   1419, Loss  0.863990, Average Loss  0.868867, Time  0.381197
2021-09-12 01:30:41.489554 : Epoch  7, Batch   1420, Loss  0.880148, Average Loss  0.868940, Time  0.460146
2021-09-12 01:30:49.208963 : Epoch  7, Batch   1421, Loss  0.862146, Average Loss  0.868779, Time  0.411068
2021-09-12 01:30:53.318476 : Epoch  7, Batch   1422, Loss  0.877580, Average Loss  0.868862, Time  0.311730
2021-09-12 01:31:01.836205 : Epoch  7, Batch   1423, Loss  0.865015, Average Loss  0.868753, Time  0.285334
2021-09-12 01:31:07.563350 : Epoch  7, Batch   1424, Loss  0.875008, Average Loss  0.868817, Time  0.293031
2021-09-12 01:31:15.368811 : Epoch  7, Batch   1425, Loss  0.869614, Average Loss  0.868770, Time  0.350722
2021-09-12 01:31:24.326164 : Epoch  7, Batch   1426, Loss  0.867507, Average Loss  0.868668, Time  0.325534
2021-09-12 01:31:35.919092 : Epoch  7, Batch   1427, Loss  0.888878, Average Loss  0.868786, Time  0.436206
2021-09-12 01:31:42.635366 : Epoch  7, Batch   1428, Loss  0.854373, Average Loss  0.868804, Time  0.318983
2021-09-12 01:31:51.065292 : Epoch  7, Batch   1429, Loss  0.881147, Average Loss  0.868827, Time  0.453926
2021-09-12 01:31:58.612964 : Epoch  7, Batch   1430, Loss  0.851074, Average Loss  0.868752, Time  0.316105
2021-09-12 01:32:03.771679 : Epoch  7, Batch   1431, Loss  0.866831, Average Loss  0.868637, Time  0.263915
2021-09-12 01:32:12.001024 : Epoch  7, Batch   1432, Loss  0.870737, Average Loss  0.868586, Time  0.567088
2021-09-12 01:32:22.196315 : Epoch  7, Batch   1433, Loss  0.853171, Average Loss  0.868579, Time  0.380799
2021-09-12 01:32:27.209907 : Epoch  7, Batch   1434, Loss  0.850949, Average Loss  0.868519, Time  0.244614
2021-09-12 01:32:34.099082 : Epoch  7, Batch   1435, Loss  0.884405, Average Loss  0.868564, Time  0.391885
2021-09-12 01:32:56.090684 : Epoch  7, Batch   1436, Loss  0.872928, Average Loss  0.868443, Time  0.414330
2021-09-12 01:33:06.255856 : Epoch  7, Batch   1437, Loss  0.860598, Average Loss  0.868239, Time  0.380188
2021-09-12 01:33:14.967815 : Epoch  7, Batch   1438, Loss  0.871278, Average Loss  0.868286, Time  0.297920
2021-09-12 01:33:25.790872 : Epoch  7, Batch   1439, Loss  0.842934, Average Loss  0.868171, Time  0.238786
2021-09-12 01:33:35.514672 : Epoch  7, Batch   1440, Loss  0.872375, Average Loss  0.868158, Time  0.358350
2021-09-12 01:33:43.444993 : Epoch  7, Batch   1441, Loss  0.874976, Average Loss  0.868176, Time  0.394160
2021-09-12 01:33:51.837219 : Epoch  7, Batch   1442, Loss  0.858264, Average Loss  0.868048, Time  0.572713
2021-09-12 01:33:55.738096 : Epoch  7, Batch   1443, Loss  0.846656, Average Loss  0.867967, Time  0.440940
2021-09-12 01:34:00.916205 : Epoch  7, Batch   1444, Loss  0.860420, Average Loss  0.867918, Time  0.334278
2021-09-12 01:34:11.516293 : Epoch  7, Batch   1445, Loss  0.876900, Average Loss  0.867954, Time  0.626813
2021-09-12 01:34:18.031992 : Epoch  7, Batch   1446, Loss  0.884589, Average Loss  0.867964, Time  0.517922
2021-09-12 01:34:27.042289 : Epoch  7, Batch   1447, Loss  0.871051, Average Loss  0.867946, Time  0.470840
2021-09-12 01:34:38.314247 : Epoch  7, Batch   1448, Loss  0.855571, Average Loss  0.867899, Time  0.502687
2021-09-12 01:34:47.853361 : Epoch  7, Batch   1449, Loss  0.862916, Average Loss  0.867942, Time  0.344690
2021-09-12 01:34:55.909262 : Epoch  7, Batch   1450, Loss  0.869709, Average Loss  0.867851, Time  0.371369
2021-09-12 01:35:07.434212 : Epoch  7, Batch   1451, Loss  0.885505, Average Loss  0.867920, Time  0.382132
2021-09-12 01:35:17.420602 : Epoch  7, Batch   1452, Loss  0.859751, Average Loss  0.867812, Time  0.451031
2021-09-12 01:35:23.828806 : Epoch  7, Batch   1453, Loss  0.863745, Average Loss  0.867861, Time  0.333976
2021-09-12 01:35:35.108949 : Epoch  7, Batch   1454, Loss  0.869610, Average Loss  0.867817, Time  0.565736
2021-09-12 01:35:44.469284 : Epoch  7, Batch   1455, Loss  0.858316, Average Loss  0.867683, Time  0.418245
2021-09-12 01:35:53.817843 : Epoch  7, Batch   1456, Loss  0.882607, Average Loss  0.867805, Time  0.403271
2021-09-12 01:35:58.778116 : Epoch  7, Batch   1457, Loss  0.858195, Average Loss  0.867910, Time  0.269766
2021-09-12 01:36:06.756071 : Epoch  7, Batch   1458, Loss  0.845824, Average Loss  0.867720, Time  0.298173
2021-09-12 01:36:16.155751 : Epoch  7, Batch   1459, Loss  0.871368, Average Loss  0.867746, Time  0.259779
2021-09-12 01:36:27.904170 : Epoch  7, Batch   1460, Loss  0.865047, Average Loss  0.867777, Time  0.435703
2021-09-12 01:36:37.208983 : Epoch  7, Batch   1461, Loss  0.870392, Average Loss  0.867899, Time  0.462090
2021-09-12 01:36:47.277811 : Epoch  7, Batch   1462, Loss  0.863400, Average Loss  0.867945, Time  0.383361
2021-09-12 01:36:56.121411 : Epoch  7, Batch   1463, Loss  0.897476, Average Loss  0.868069, Time  0.599423
2021-09-12 01:37:05.216107 : Epoch  7, Batch   1464, Loss  0.871621, Average Loss  0.868052, Time  0.745324
2021-09-12 01:50:58.353828 : CheckPoint: Validation Loss  0.00030363, Best Loss  0.00029019
2021-09-12 01:51:10.849243 : Epoch  7, Batch   1465, Loss  0.871715, Average Loss  0.868081, Time  0.361937
2021-09-12 01:51:17.634358 : Epoch  7, Batch   1466, Loss  0.862516, Average Loss  0.868007, Time  0.502521
2021-09-12 01:51:27.201189 : Epoch  7, Batch   1467, Loss  0.881628, Average Loss  0.868103, Time  0.539088
2021-09-12 01:51:29.929970 : Epoch  7, Batch   1468, Loss  0.866055, Average Loss  0.868045, Time  0.319390
2021-09-12 01:51:41.892249 : Epoch  7, Batch   1469, Loss  0.850539, Average Loss  0.867866, Time  0.294623
2021-09-12 01:51:50.191944 : Epoch  7, Batch   1470, Loss  0.874284, Average Loss  0.867895, Time  0.410356
2021-09-12 01:52:04.307167 : Epoch  7, Batch   1471, Loss  0.862935, Average Loss  0.867870, Time  0.671807
2021-09-12 01:52:12.118050 : Epoch  7, Batch   1472, Loss  0.884035, Average Loss  0.867824, Time  0.753346
2021-09-12 01:52:22.189065 : Epoch  7, Batch   1473, Loss  0.862410, Average Loss  0.867878, Time  0.391495
2021-09-12 01:52:30.131498 : Epoch  7, Batch   1474, Loss  0.873311, Average Loss  0.867892, Time  0.304195
2021-09-12 01:52:40.128788 : Epoch  7, Batch   1475, Loss  0.873760, Average Loss  0.867823, Time  0.437191
2021-09-12 01:52:48.263658 : Epoch  7, Batch   1476, Loss  0.854601, Average Loss  0.867712, Time  0.399090
2021-09-12 01:52:59.359066 : Epoch  7, Batch   1477, Loss  0.888911, Average Loss  0.867862, Time  0.306118
2021-09-12 01:53:07.336812 : Epoch  7, Batch   1478, Loss  0.882226, Average Loss  0.867937, Time  0.448331
2021-09-12 01:53:16.729082 : Epoch  7, Batch   1479, Loss  0.863322, Average Loss  0.867826, Time  0.277549
2021-09-12 01:53:22.684165 : Epoch  7, Batch   1480, Loss  0.867492, Average Loss  0.867736, Time  0.460930
2021-09-12 01:53:28.104578 : Epoch  7, Batch   1481, Loss  0.885865, Average Loss  0.867896, Time  0.591810
2021-09-12 01:53:37.584916 : Epoch  7, Batch   1482, Loss  0.857321, Average Loss  0.867903, Time  0.297730
2021-09-12 01:53:45.041944 : Epoch  7, Batch   1483, Loss  0.870953, Average Loss  0.867970, Time  0.400329
2021-09-12 01:53:52.123727 : Epoch  7, Batch   1484, Loss  0.873234, Average Loss  0.867917, Time  0.406692
2021-09-12 01:54:00.667325 : Epoch  7, Batch   1485, Loss  0.848046, Average Loss  0.867838, Time  0.277981
2021-09-12 01:54:11.426261 : Epoch  7, Batch   1486, Loss  0.871788, Average Loss  0.867812, Time  0.484265
2021-09-12 01:54:21.949705 : Epoch  7, Batch   1487, Loss  0.844933, Average Loss  0.867829, Time  0.417974
2021-09-12 01:54:32.030753 : Epoch  7, Batch   1488, Loss  0.864660, Average Loss  0.867784, Time  0.285333
2021-09-12 01:54:39.358036 : Epoch  7, Batch   1489, Loss  0.860843, Average Loss  0.867782, Time  0.386654
2021-09-12 01:54:49.969943 : Epoch  7, Batch   1490, Loss  0.883558, Average Loss  0.867737, Time  0.375562
2021-09-12 01:54:59.186909 : Epoch  7, Batch   1491, Loss  0.886191, Average Loss  0.867873, Time  0.350378
2021-09-12 01:55:07.014039 : Epoch  7, Batch   1492, Loss  0.873473, Average Loss  0.867837, Time  0.319658
2021-09-12 01:55:15.410402 : Epoch  7, Batch   1493, Loss  0.863207, Average Loss  0.867838, Time  0.515446
2021-09-12 01:55:21.597983 : Epoch  7, Batch   1494, Loss  0.879592, Average Loss  0.867915, Time  0.372196
2021-09-12 01:55:25.165195 : Epoch  7, Batch   1495, Loss  0.857227, Average Loss  0.867822, Time  0.303161
2021-09-12 01:55:30.858304 : Epoch  7, Batch   1496, Loss  0.866068, Average Loss  0.867845, Time  0.455211
2021-09-12 01:55:37.412755 : Epoch  7, Batch   1497, Loss  0.867161, Average Loss  0.867799, Time  0.296254
2021-09-12 01:55:44.450395 : Epoch  7, Batch   1498, Loss  0.863759, Average Loss  0.867704, Time  0.269249
2021-09-12 01:55:54.108182 : Epoch  7, Batch   1499, Loss  0.861692, Average Loss  0.867710, Time  0.315888
2021-09-12 01:56:03.047686 : Epoch  7, Batch   1500, Loss  0.871129, Average Loss  0.867723, Time  0.318231
2021-09-12 01:56:10.874716 : Epoch  7, Batch   1501, Loss  0.855904, Average Loss  0.867658, Time  0.562988
2021-09-12 01:56:21.117356 : Epoch  7, Batch   1502, Loss  0.855660, Average Loss  0.867552, Time  0.459960
2021-09-12 01:56:29.517278 : Epoch  7, Batch   1503, Loss  0.858002, Average Loss  0.867620, Time  0.527352
2021-09-12 01:56:40.245949 : Epoch  7, Batch   1504, Loss  0.884979, Average Loss  0.867587, Time  0.324570
2021-09-12 01:56:47.259961 : Epoch  7, Batch   1505, Loss  0.863975, Average Loss  0.867539, Time  0.283232
2021-09-12 01:56:56.228293 : Epoch  7, Batch   1506, Loss  0.878095, Average Loss  0.867570, Time  0.391228
2021-09-12 01:57:04.516930 : Epoch  7, Batch   1507, Loss  0.888539, Average Loss  0.867649, Time  0.457204
2021-09-12 01:57:12.345703 : Epoch  7, Batch   1508, Loss  0.879562, Average Loss  0.867839, Time  0.484036
2021-09-12 01:57:23.669150 : Epoch  7, Batch   1509, Loss  0.860120, Average Loss  0.867831, Time  0.301992
2021-09-12 01:57:29.452962 : Epoch  7, Batch   1510, Loss  0.870292, Average Loss  0.867837, Time  0.237152
2021-09-12 01:57:38.789934 : Epoch  7, Batch   1511, Loss  0.869685, Average Loss  0.867872, Time  0.392487
2021-09-12 01:57:45.152910 : Epoch  7, Batch   1512, Loss  0.865686, Average Loss  0.867873, Time  0.311389
2021-09-12 01:57:56.109025 : Epoch  7, Batch   1513, Loss  0.864743, Average Loss  0.867889, Time  0.433477
2021-09-12 01:58:07.199775 : Epoch  7, Batch   1514, Loss  0.885663, Average Loss  0.868099, Time  0.290918
2021-09-12 01:58:14.342577 : Epoch  7, Batch   1515, Loss  0.887195, Average Loss  0.868013, Time  0.366549
2021-09-12 01:58:23.513150 : Epoch  7, Batch   1516, Loss  0.869167, Average Loss  0.867933, Time  0.300951
2021-09-12 01:58:32.013024 : Epoch  7, Batch   1517, Loss  0.846752, Average Loss  0.867827, Time  0.331783
2021-09-12 01:58:39.517107 : Epoch  7, Batch   1518, Loss  0.853279, Average Loss  0.867729, Time  0.412493
2021-09-12 01:58:51.497272 : Epoch  7, Batch   1519, Loss  0.875340, Average Loss  0.867787, Time  0.237288
2021-09-12 01:58:58.080968 : Epoch  7, Batch   1520, Loss  0.861417, Average Loss  0.867740, Time  0.640704
2021-09-12 01:59:08.131941 : Epoch  7, Batch   1521, Loss  0.841878, Average Loss  0.867545, Time  0.385767
2021-09-12 01:59:16.368762 : Epoch  7, Batch   1522, Loss  0.864473, Average Loss  0.867592, Time  0.308896
2021-09-12 01:59:19.031893 : Epoch  7, Batch   1523, Loss  0.883758, Average Loss  0.867776, Time  0.306214
2021-09-12 01:59:28.810954 : Epoch  7, Batch   1524, Loss  0.863120, Average Loss  0.867846, Time  0.451746
2021-09-12 01:59:38.912961 : Epoch  7, Batch   1525, Loss  0.873595, Average Loss  0.867895, Time  0.273523
2021-09-12 01:59:49.404975 : Epoch  7, Batch   1526, Loss  0.872706, Average Loss  0.867913, Time  0.602686
2021-09-12 01:59:56.783919 : Epoch  7, Batch   1527, Loss  0.883231, Average Loss  0.868097, Time  0.290118
2021-09-12 02:00:04.080793 : Epoch  7, Batch   1528, Loss  0.859514, Average Loss  0.868032, Time  0.421736
2021-09-12 02:00:11.068673 : Epoch  7, Batch   1529, Loss  0.861438, Average Loss  0.867913, Time  0.270441
2021-09-12 02:00:20.412778 : Epoch  7, Batch   1530, Loss  0.875679, Average Loss  0.867949, Time  0.311630
2021-09-12 02:00:29.455935 : Epoch  7, Batch   1531, Loss  0.875959, Average Loss  0.867979, Time  0.323646
2021-09-12 02:00:41.313682 : Epoch  7, Batch   1532, Loss  0.868247, Average Loss  0.868098, Time  0.388057
2021-09-12 02:00:50.358974 : Epoch  7, Batch   1533, Loss  0.868701, Average Loss  0.868138, Time  0.358055
2021-09-12 02:00:58.368881 : Epoch  7, Batch   1534, Loss  0.878784, Average Loss  0.868271, Time  0.402276
2021-09-12 02:01:03.965068 : Epoch  7, Batch   1535, Loss  0.858656, Average Loss  0.868263, Time  0.402770
2021-09-12 02:01:09.535207 : Epoch  7, Batch   1536, Loss  0.875414, Average Loss  0.868246, Time  0.331493
2021-09-12 02:01:19.646876 : Epoch  7, Batch   1537, Loss  0.867850, Average Loss  0.868203, Time  0.412926
2021-09-12 02:01:29.643942 : Epoch  7, Batch   1538, Loss  0.848548, Average Loss  0.868130, Time  0.384183
2021-09-12 02:01:40.900850 : Epoch  7, Batch   1539, Loss  0.877128, Average Loss  0.868109, Time  0.525465
2021-09-12 02:01:51.678943 : Epoch  7, Batch   1540, Loss  0.863566, Average Loss  0.868219, Time  0.553269
2021-09-12 02:02:02.882964 : Epoch  7, Batch   1541, Loss  0.846553, Average Loss  0.868187, Time  0.511313
2021-09-12 02:02:13.360026 : Epoch  7, Batch   1542, Loss  0.871912, Average Loss  0.868153, Time  0.414210
2021-09-12 02:02:22.820275 : Epoch  7, Batch   1543, Loss  0.888563, Average Loss  0.868252, Time  0.379621
2021-09-12 02:02:27.837057 : Epoch  7, Batch   1544, Loss  0.875519, Average Loss  0.868158, Time  0.447616
2021-09-12 02:02:31.224075 : Epoch  7, Batch   1545, Loss  0.856004, Average Loss  0.868050, Time  0.280441
2021-09-12 02:02:40.425552 : Epoch  7, Batch   1546, Loss  0.869037, Average Loss  0.868131, Time  0.279186
2021-09-12 02:02:51.902096 : Epoch  7, Batch   1547, Loss  0.844168, Average Loss  0.868016, Time  0.347079
2021-09-12 02:03:01.759702 : Epoch  7, Batch   1548, Loss  0.895085, Average Loss  0.868112, Time  0.475071
2021-09-12 02:03:10.274060 : Epoch  7, Batch   1549, Loss  0.844946, Average Loss  0.868037, Time  0.386969
2021-09-12 02:03:16.647911 : Epoch  7, Batch   1550, Loss  0.875622, Average Loss  0.868027, Time  0.457443
2021-09-12 02:03:28.275175 : Epoch  7, Batch   1551, Loss  0.889087, Average Loss  0.868128, Time  0.338709
2021-09-12 02:03:37.003241 : Epoch  7, Batch   1552, Loss  0.896049, Average Loss  0.868164, Time  0.369098
2021-09-12 02:03:45.087644 : Epoch  7, Batch   1553, Loss  0.853882, Average Loss  0.868094, Time  0.360958
2021-09-12 02:03:53.606918 : Epoch  7, Batch   1554, Loss  0.866934, Average Loss  0.868006, Time  0.373616
2021-09-12 02:04:03.371963 : Epoch  7, Batch   1555, Loss  0.892221, Average Loss  0.868219, Time  0.421304
2021-09-12 02:04:11.595400 : Epoch  7, Batch   1556, Loss  0.862120, Average Loss  0.868142, Time  0.402987
2021-09-12 02:04:21.948171 : Epoch  7, Batch   1557, Loss  0.854444, Average Loss  0.867925, Time  0.481130
2021-09-12 02:04:32.060879 : Epoch  7, Batch   1558, Loss  0.858964, Average Loss  0.867816, Time  0.396840
2021-09-12 02:04:41.769944 : Epoch  7, Batch   1559, Loss  0.860619, Average Loss  0.867731, Time  0.397534
2021-09-12 02:04:52.367026 : Epoch  7, Batch   1560, Loss  0.848169, Average Loss  0.867676, Time  0.304040
2021-09-12 02:04:59.314715 : Epoch  7, Batch   1561, Loss  0.892059, Average Loss  0.867886, Time  0.379783
2021-09-12 02:05:08.195502 : Epoch  7, Batch   1562, Loss  0.871801, Average Loss  0.867821, Time  0.465694
2021-09-12 02:05:15.858668 : Epoch  7, Batch   1563, Loss  0.868815, Average Loss  0.867800, Time  0.258733
2021-09-12 02:05:20.578337 : Epoch  7, Batch   1564, Loss  0.880287, Average Loss  0.867825, Time  0.256846
2021-09-12 02:19:38.987812 : CheckPoint: Validation Loss  0.00029635, Best Loss  0.00029019
2021-09-12 02:19:47.239325 : Epoch  7, Batch   1565, Loss  0.862639, Average Loss  0.867643, Time  0.315555
2021-09-12 02:19:56.130091 : Epoch  7, Batch   1566, Loss  0.867229, Average Loss  0.867680, Time  0.385580
2021-09-12 02:20:03.832960 : Epoch  7, Batch   1567, Loss  0.870177, Average Loss  0.867633, Time  0.276891
2021-09-12 02:20:10.272702 : Epoch  7, Batch   1568, Loss  0.857217, Average Loss  0.867557, Time  0.315098
2021-09-12 02:20:17.878102 : Epoch  7, Batch   1569, Loss  0.880810, Average Loss  0.867673, Time  0.295469
2021-09-12 02:20:24.965928 : Epoch  7, Batch   1570, Loss  0.873230, Average Loss  0.867619, Time  0.460243
2021-09-12 02:20:31.366418 : Epoch  7, Batch   1571, Loss  0.877403, Average Loss  0.867698, Time  0.348686
2021-09-12 02:20:41.449454 : Epoch  7, Batch   1572, Loss  0.874939, Average Loss  0.867733, Time  0.707135
2021-09-12 02:20:45.496065 : Epoch  7, Batch   1573, Loss  0.863759, Average Loss  0.867855, Time  0.317863
2021-09-12 02:20:52.781903 : Epoch  7, Batch   1574, Loss  0.860436, Average Loss  0.867816, Time  0.279613
2021-09-12 02:20:58.545043 : Epoch  7, Batch   1575, Loss  0.855528, Average Loss  0.867833, Time  0.294638
2021-09-12 02:21:05.583376 : Epoch  7, Batch   1576, Loss  0.874288, Average Loss  0.867786, Time  0.335733
2021-09-12 02:21:12.610688 : Epoch  7, Batch   1577, Loss  0.887806, Average Loss  0.867990, Time  0.415047
2021-09-12 02:21:18.053719 : Epoch  7, Batch   1578, Loss  0.877159, Average Loss  0.868072, Time  0.328478
2021-09-12 02:21:26.458429 : Epoch  7, Batch   1579, Loss  0.862927, Average Loss  0.868068, Time  0.260441
2021-09-12 02:21:35.407642 : Epoch  7, Batch   1580, Loss  0.886329, Average Loss  0.868137, Time  0.361780
2021-09-12 02:21:41.611868 : Epoch  7, Batch   1581, Loss  0.872149, Average Loss  0.868185, Time  0.362619
2021-09-12 02:21:54.306990 : Epoch  7, Batch   1582, Loss  0.865665, Average Loss  0.868192, Time  0.629748
2021-09-12 02:22:05.410423 : Epoch  7, Batch   1583, Loss  0.868980, Average Loss  0.868115, Time  0.463977
2021-09-12 02:22:13.035322 : Epoch  7, Batch   1584, Loss  0.885083, Average Loss  0.868325, Time  0.408200
2021-09-12 02:22:22.892455 : Epoch  7, Batch   1585, Loss  0.860460, Average Loss  0.868239, Time  0.436398
2021-09-12 02:22:28.560958 : Epoch  7, Batch   1586, Loss  0.851559, Average Loss  0.868104, Time  0.296817
2021-09-12 02:22:39.633335 : Epoch  7, Batch   1587, Loss  0.905930, Average Loss  0.868394, Time  0.385025
2021-09-12 02:22:48.767149 : Epoch  7, Batch   1588, Loss  0.872305, Average Loss  0.868535, Time  0.249802
2021-09-12 02:22:55.393209 : Epoch  7, Batch   1589, Loss  0.881303, Average Loss  0.868689, Time  0.403697
2021-09-12 02:23:04.677171 : Epoch  7, Batch   1590, Loss  0.883304, Average Loss  0.868830, Time  0.422742
2021-09-12 02:23:08.120202 : Epoch  7, Batch   1591, Loss  0.855360, Average Loss  0.868655, Time  0.267448
2021-09-12 02:23:13.226925 : Epoch  7, Batch   1592, Loss  0.878290, Average Loss  0.868741, Time  0.335176
2021-09-12 02:23:19.441378 : Epoch  7, Batch   1593, Loss  0.852300, Average Loss  0.868659, Time  0.342522
2021-09-12 02:23:26.808017 : Epoch  7, Batch   1594, Loss  0.866466, Average Loss  0.868645, Time  0.323030
2021-09-12 02:23:32.309828 : Epoch  7, Batch   1595, Loss  0.861605, Average Loss  0.868577, Time  0.265218
2021-09-12 02:23:38.795604 : Epoch  7, Batch   1596, Loss  0.857552, Average Loss  0.868533, Time  0.317514
2021-09-12 02:23:46.408371 : Epoch  7, Batch   1597, Loss  0.881801, Average Loss  0.868561, Time  0.291632
2021-09-12 02:23:52.151847 : Epoch  7, Batch   1598, Loss  0.894060, Average Loss  0.868632, Time  0.414710
2021-09-12 02:23:57.084264 : Epoch  7, Batch   1599, Loss  0.850145, Average Loss  0.868468, Time  0.497989
2021-09-12 02:24:04.276229 : Epoch  7, Batch   1600, Loss  0.876452, Average Loss  0.868433, Time  0.424676
2021-09-12 02:24:10.473856 : Epoch  7, Batch   1601, Loss  0.866375, Average Loss  0.868468, Time  0.320023
2021-09-12 02:24:16.978365 : Epoch  7, Batch   1602, Loss  0.860759, Average Loss  0.868384, Time  0.427526
2021-09-12 02:24:23.208161 : Epoch  7, Batch   1603, Loss  0.873642, Average Loss  0.868377, Time  0.332759
2021-09-12 02:24:28.030175 : Epoch  7, Batch   1604, Loss  0.864797, Average Loss  0.868376, Time  0.243298
2021-09-12 02:24:31.791344 : Epoch  7, Batch   1605, Loss  0.879359, Average Loss  0.868415, Time  0.373482
2021-09-12 02:24:41.126871 : Epoch  7, Batch   1606, Loss  0.850966, Average Loss  0.868485, Time  0.299508
2021-09-12 02:24:47.404046 : Epoch  7, Batch   1607, Loss  0.886375, Average Loss  0.868635, Time  0.432451
2021-09-12 02:24:51.333333 : Epoch  7, Batch   1608, Loss  0.869360, Average Loss  0.868647, Time  0.365110
2021-09-12 02:24:55.752832 : Epoch  7, Batch   1609, Loss  0.872614, Average Loss  0.868643, Time  0.267247
2021-09-12 02:25:04.237872 : Epoch  7, Batch   1610, Loss  0.868217, Average Loss  0.868637, Time  0.390101
2021-09-12 02:25:09.566411 : Epoch  7, Batch   1611, Loss  0.883411, Average Loss  0.868743, Time  0.359592
2021-09-12 02:25:17.779559 : Epoch  7, Batch   1612, Loss  0.853288, Average Loss  0.868728, Time  0.237195
2021-09-12 02:25:26.764009 : Epoch  7, Batch   1613, Loss  0.872041, Average Loss  0.868756, Time  0.274392
2021-09-12 02:25:34.096043 : Epoch  7, Batch   1614, Loss  0.868901, Average Loss  0.868730, Time  0.578785
2021-09-12 02:25:42.554808 : Epoch  7, Batch   1615, Loss  0.873205, Average Loss  0.868846, Time  0.315797
2021-09-12 02:25:49.320156 : Epoch  7, Batch   1616, Loss  0.871060, Average Loss  0.868808, Time  0.304596
2021-09-12 02:25:56.483122 : Epoch  7, Batch   1617, Loss  0.874904, Average Loss  0.868907, Time  0.377235
2021-09-12 02:26:07.073341 : Epoch  7, Batch   1618, Loss  0.871400, Average Loss  0.868948, Time  0.478328
2021-09-12 02:26:12.322859 : Epoch  7, Batch   1619, Loss  0.853552, Average Loss  0.868895, Time  0.379698
2021-09-12 02:26:18.228209 : Epoch  7, Batch   1620, Loss  0.864790, Average Loss  0.868819, Time  0.359137
2021-09-12 02:26:25.531644 : Epoch  7, Batch   1621, Loss  0.860886, Average Loss  0.868812, Time  0.260452
2021-09-12 02:26:30.076977 : Epoch  7, Batch   1622, Loss  0.864929, Average Loss  0.868749, Time  0.520666
2021-09-12 02:26:38.279368 : Epoch  7, Batch   1623, Loss  0.835729, Average Loss  0.868603, Time  0.375161
2021-09-12 02:26:42.945126 : Epoch  7, Batch   1624, Loss  0.866593, Average Loss  0.868561, Time  0.538513
2021-09-12 02:26:47.954434 : Epoch  7, Batch   1625, Loss  0.868082, Average Loss  0.868553, Time  0.283824
2021-09-12 02:26:56.532426 : Epoch  7, Batch   1626, Loss  0.852588, Average Loss  0.868478, Time  0.360099
2021-09-12 02:27:01.647371 : Epoch  7, Batch   1627, Loss  0.846794, Average Loss  0.868268, Time  0.467586
2021-09-12 02:27:10.290365 : Epoch  7, Batch   1628, Loss  0.879509, Average Loss  0.868394, Time  0.651186
2021-09-12 02:27:19.259941 : Epoch  7, Batch   1629, Loss  0.864437, Average Loss  0.868310, Time  0.339991
2021-09-12 02:27:28.346369 : Epoch  7, Batch   1630, Loss  0.888801, Average Loss  0.868499, Time  0.381098
2021-09-12 02:27:35.210696 : Epoch  7, Batch   1631, Loss  0.874172, Average Loss  0.868535, Time  0.294800
2021-09-12 02:27:45.446048 : Epoch  7, Batch   1632, Loss  0.858919, Average Loss  0.868476, Time  0.540508
2021-09-12 02:27:51.460102 : Epoch  7, Batch   1633, Loss  0.891951, Average Loss  0.868670, Time  0.416061
2021-09-12 02:27:55.512016 : Epoch  7, Batch   1634, Loss  0.868906, Average Loss  0.868760, Time  0.296435
2021-09-12 02:28:01.026943 : Epoch  7, Batch   1635, Loss  0.864547, Average Loss  0.868661, Time  0.413754
2021-09-12 02:28:08.348813 : Epoch  7, Batch   1636, Loss  0.862220, Average Loss  0.868607, Time  0.405917
2021-09-12 02:28:16.553860 : Epoch  7, Batch   1637, Loss  0.851572, Average Loss  0.868562, Time  0.511029
2021-09-12 02:28:23.114839 : Epoch  7, Batch   1638, Loss  0.884185, Average Loss  0.868626, Time  0.244914
2021-09-12 02:28:31.002477 : Epoch  7, Batch   1639, Loss  0.856459, Average Loss  0.868694, Time  0.543107
2021-09-12 02:28:41.035022 : Epoch  7, Batch   1640, Loss  0.889148, Average Loss  0.868778, Time  0.457701
2021-09-12 02:28:47.882856 : Epoch  7, Batch   1641, Loss  0.875097, Average Loss  0.868779, Time  0.244181
2021-09-12 02:28:54.758010 : Epoch  7, Batch   1642, Loss  0.871040, Average Loss  0.868842, Time  0.377867
2021-09-12 02:29:02.535972 : Epoch  7, Batch   1643, Loss  0.891145, Average Loss  0.869065, Time  0.239575
2021-09-12 02:29:07.320667 : Epoch  7, Batch   1644, Loss  0.888356, Average Loss  0.869205, Time  0.367761
2021-09-12 02:29:16.689103 : Epoch  7, Batch   1645, Loss  0.855454, Average Loss  0.869097, Time  0.361363
2021-09-12 02:29:25.991372 : Epoch  7, Batch   1646, Loss  0.885864, Average Loss  0.869104, Time  0.399096
2021-09-12 02:29:32.411894 : Epoch  7, Batch   1647, Loss  0.864210, Average Loss  0.869070, Time  0.287236
2021-09-12 02:29:40.290857 : Epoch  7, Batch   1648, Loss  0.879040, Average Loss  0.869187, Time  0.272374
2021-09-12 02:29:48.272530 : Epoch  7, Batch   1649, Loss  0.907219, Average Loss  0.869408, Time  0.489349
2021-09-12 02:29:55.657160 : Epoch  7, Batch   1650, Loss  0.874641, Average Loss  0.869433, Time  0.331944
2021-09-12 02:30:04.236805 : Epoch  7, Batch   1651, Loss  0.872474, Average Loss  0.869368, Time  0.442499
2021-09-12 02:30:10.041479 : Epoch  7, Batch   1652, Loss  0.879896, Average Loss  0.869469, Time  0.506461
2021-09-12 02:30:20.855095 : Epoch  7, Batch   1653, Loss  0.865235, Average Loss  0.869476, Time  0.387686
2021-09-12 02:30:29.929270 : Epoch  7, Batch   1654, Loss  0.857810, Average Loss  0.869417, Time  0.295453
2021-09-12 02:30:38.392996 : Epoch  7, Batch   1655, Loss  0.876364, Average Loss  0.869507, Time  0.407311
2021-09-12 02:30:48.801935 : Epoch  7, Batch   1656, Loss  0.879316, Average Loss  0.869491, Time  0.582303
2021-09-12 02:30:56.042098 : Epoch  7, Batch   1657, Loss  0.872301, Average Loss  0.869561, Time  0.492384
2021-09-12 02:31:04.710980 : Epoch  7, Batch   1658, Loss  0.866792, Average Loss  0.869666, Time  0.334609
2021-09-12 02:31:11.750183 : Epoch  7, Batch   1659, Loss  0.855220, Average Loss  0.869585, Time  0.383763
2021-09-12 02:31:20.553260 : Epoch  7, Batch   1660, Loss  0.864143, Average Loss  0.869581, Time  0.561965
2021-09-12 02:31:26.385139 : Epoch  7, Batch   1661, Loss  0.852703, Average Loss  0.869493, Time  0.237037
2021-09-12 02:31:33.266441 : Epoch  7, Batch   1662, Loss  0.872092, Average Loss  0.869536, Time  0.382020
2021-09-12 02:31:40.889401 : Epoch  7, Batch   1663, Loss  0.876772, Average Loss  0.869432, Time  0.584007
2021-09-12 02:31:51.593089 : Epoch  7, Batch   1664, Loss  0.882255, Average Loss  0.869486, Time  0.263007
2021-09-12 02:42:29.066762 : CheckPoint: Validation Loss  0.00029514, Best Loss  0.00029019
2021-09-12 02:42:38.188856 : Epoch  7, Batch   1665, Loss  0.870273, Average Loss  0.869478, Time  0.350680
2021-09-12 02:42:42.361308 : Epoch  7, Batch   1666, Loss  0.882020, Average Loss  0.869576, Time  0.276057
2021-09-12 02:42:45.265932 : Epoch  7, Batch   1667, Loss  0.868881, Average Loss  0.869512, Time  0.319614
2021-09-12 02:42:50.154355 : Epoch  7, Batch   1668, Loss  0.856008, Average Loss  0.869462, Time  0.282618
2021-09-12 02:42:55.209937 : Epoch  7, Batch   1669, Loss  0.881083, Average Loss  0.869615, Time  0.313194
2021-09-12 02:43:00.083400 : Epoch  7, Batch   1670, Loss  0.879546, Average Loss  0.869641, Time  0.446147
2021-09-12 02:43:06.812969 : Epoch  7, Batch   1671, Loss  0.877735, Average Loss  0.869715, Time  0.271025
2021-09-12 02:43:12.710538 : Epoch  7, Batch   1672, Loss  0.876544, Average Loss  0.869678, Time  0.251182
2021-09-12 02:43:19.035836 : Epoch  7, Batch   1673, Loss  0.869358, Average Loss  0.869712, Time  0.355214
2021-09-12 02:43:25.806861 : Epoch  7, Batch   1674, Loss  0.852254, Average Loss  0.869607, Time  0.367424
2021-09-12 02:43:32.781985 : Epoch  7, Batch   1675, Loss  0.867832, Average Loss  0.869577, Time  0.355319
2021-09-12 02:43:39.272404 : Epoch  7, Batch   1676, Loss  0.876740, Average Loss  0.869688, Time  0.353045
2021-09-12 02:43:48.408654 : Epoch  7, Batch   1677, Loss  0.862493, Average Loss  0.869556, Time  0.346584
2021-09-12 02:43:52.175405 : Epoch  7, Batch   1678, Loss  0.904474, Average Loss  0.869667, Time  0.348814
2021-09-12 02:43:57.663853 : Epoch  7, Batch   1679, Loss  0.870559, Average Loss  0.869703, Time  0.486602
2021-09-12 02:44:05.290351 : Epoch  7, Batch   1680, Loss  0.860982, Average Loss  0.869671, Time  0.299500
2021-09-12 02:44:09.146800 : Epoch  7, Batch   1681, Loss  0.868778, Average Loss  0.869585, Time  0.328432
2021-09-12 02:44:11.892354 : Epoch  7, Batch   1682, Loss  0.890245, Average Loss  0.869750, Time  0.260044
2021-09-12 02:44:16.005985 : Epoch  7, Batch   1683, Loss  0.873295, Average Loss  0.869762, Time  0.381856
2021-09-12 02:44:23.250481 : Epoch  7, Batch   1684, Loss  0.864399, Average Loss  0.869718, Time  0.312186
2021-09-12 02:44:28.442046 : Epoch  7, Batch   1685, Loss  0.873451, Average Loss  0.869845, Time  0.421762
2021-09-12 02:44:38.611015 : Epoch  7, Batch   1686, Loss  0.895114, Average Loss  0.869961, Time  0.518722
2021-09-12 02:44:47.847825 : Epoch  7, Batch   1687, Loss  0.866620, Average Loss  0.870070, Time  0.467311
2021-09-12 02:44:55.414428 : Epoch  7, Batch   1688, Loss  0.864493, Average Loss  0.870069, Time  0.375729
2021-09-12 02:45:02.573358 : Epoch  7, Batch   1689, Loss  0.877347, Average Loss  0.870151, Time  0.555326
2021-09-12 02:45:10.550378 : Epoch  7, Batch   1690, Loss  0.858110, Average Loss  0.870024, Time  0.439457
2021-09-12 02:45:17.492016 : Epoch  7, Batch   1691, Loss  0.841803, Average Loss  0.869802, Time  0.362286
2021-09-12 02:45:24.402615 : Epoch  7, Batch   1692, Loss  0.852763, Average Loss  0.869699, Time  0.318598
2021-09-12 02:45:29.690255 : Epoch  7, Batch   1693, Loss  0.861011, Average Loss  0.869688, Time  0.430635
2021-09-12 02:45:37.965097 : Epoch  7, Batch   1694, Loss  0.883391, Average Loss  0.869707, Time  0.385076
2021-09-12 02:45:44.022369 : Epoch  7, Batch   1695, Loss  0.889350, Average Loss  0.869867, Time  0.380741
2021-09-12 02:45:52.361191 : Epoch  7, Batch   1696, Loss  0.866484, Average Loss  0.869869, Time  0.236822
2021-09-12 02:46:00.214813 : Epoch  7, Batch   1697, Loss  0.865498, Average Loss  0.869861, Time  0.423201
2021-09-12 02:46:08.754560 : Epoch  7, Batch   1698, Loss  0.868261, Average Loss  0.869884, Time  0.410067
2021-09-12 02:46:14.828408 : Epoch  7, Batch   1699, Loss  0.854122, Average Loss  0.869846, Time  0.314701
2021-09-12 02:46:23.556163 : Epoch  7, Batch   1700, Loss  0.872799, Average Loss  0.869854, Time  0.476033
2021-09-12 02:46:30.520357 : Epoch  7, Batch   1701, Loss  0.859602, Average Loss  0.869873, Time  0.253959
2021-09-12 02:46:39.724371 : Epoch  7, Batch   1702, Loss  0.853412, Average Loss  0.869861, Time  0.359563
2021-09-12 02:46:42.701405 : Epoch  7, Batch   1703, Loss  0.861587, Average Loss  0.869879, Time  0.306496
2021-09-12 02:46:47.265296 : Epoch  7, Batch   1704, Loss  0.859446, Average Loss  0.869752, Time  0.301639
2021-09-12 02:46:55.583832 : Epoch  7, Batch   1705, Loss  0.852609, Average Loss  0.869695, Time  0.603073
2021-09-12 02:47:03.429962 : Epoch  7, Batch   1706, Loss  0.870226, Average Loss  0.869655, Time  0.362910
2021-09-12 02:47:08.724166 : Epoch  7, Batch   1707, Loss  0.873365, Average Loss  0.869580, Time  0.362380
2021-09-12 02:47:15.950132 : Epoch  7, Batch   1708, Loss  0.852215, Average Loss  0.869443, Time  0.458765
2021-09-12 02:47:21.944032 : Epoch  7, Batch   1709, Loss  0.877305, Average Loss  0.869529, Time  0.341341
2021-09-12 02:47:28.748012 : Epoch  7, Batch   1710, Loss  0.861423, Average Loss  0.869484, Time  0.284307
2021-09-12 02:47:36.100554 : Epoch  7, Batch   1711, Loss  0.876455, Average Loss  0.869518, Time  0.392622
2021-09-12 02:47:45.780855 : Epoch  7, Batch   1712, Loss  0.877316, Average Loss  0.869576, Time  0.409032
2021-09-12 02:47:52.074067 : Epoch  7, Batch   1713, Loss  0.866043, Average Loss  0.869583, Time  0.368583
2021-09-12 02:47:58.896347 : Epoch  7, Batch   1714, Loss  0.870680, Average Loss  0.869508, Time  0.253203
2021-09-12 02:48:03.937556 : Epoch  7, Batch   1715, Loss  0.853658, Average Loss  0.869340, Time  0.346542
2021-09-12 02:48:08.258009 : Epoch  7, Batch   1716, Loss  0.859068, Average Loss  0.869290, Time  0.268044
2021-09-12 02:48:15.527324 : Epoch  7, Batch   1717, Loss  0.861500, Average Loss  0.869364, Time  0.332051
2021-09-12 02:48:23.901593 : Epoch  7, Batch   1718, Loss  0.878233, Average Loss  0.869488, Time  0.284945
2021-09-12 02:48:31.515826 : Epoch  7, Batch   1719, Loss  0.855506, Average Loss  0.869389, Time  0.620257
2021-09-12 02:48:37.466850 : Epoch  7, Batch   1720, Loss  0.866770, Average Loss  0.869416, Time  0.526525
2021-09-12 02:48:42.068347 : Epoch  7, Batch   1721, Loss  0.869388, Average Loss  0.869553, Time  0.414721
2021-09-12 02:48:49.423366 : Epoch  7, Batch   1722, Loss  0.866798, Average Loss  0.869565, Time  0.393152
2021-09-12 02:48:57.955353 : Epoch  7, Batch   1723, Loss  0.864643, Average Loss  0.869469, Time  0.329759
2021-09-12 02:49:05.061198 : Epoch  7, Batch   1724, Loss  0.878191, Average Loss  0.869545, Time  0.282745
2021-09-12 02:49:10.123636 : Epoch  7, Batch   1725, Loss  0.856911, Average Loss  0.869461, Time  0.383212
2021-09-12 02:49:14.262359 : Epoch  7, Batch   1726, Loss  0.864582, Average Loss  0.869421, Time  0.390158
2021-09-12 02:49:21.994364 : Epoch  7, Batch   1727, Loss  0.864769, Average Loss  0.869328, Time  0.475990
2021-09-12 02:49:28.979867 : Epoch  7, Batch   1728, Loss  0.840586, Average Loss  0.869234, Time  0.308596
2021-09-12 02:49:34.845411 : Epoch  7, Batch   1729, Loss  0.865873, Average Loss  0.869256, Time  0.261316
2021-09-12 02:49:42.161209 : Epoch  7, Batch   1730, Loss  0.867990, Average Loss  0.869218, Time  0.277650
2021-09-12 02:49:48.643373 : Epoch  7, Batch   1731, Loss  0.865661, Average Loss  0.869166, Time  0.369697
2021-09-12 02:49:55.821838 : Epoch  7, Batch   1732, Loss  0.886474, Average Loss  0.869257, Time  0.333647
2021-09-12 02:50:02.381378 : Epoch  7, Batch   1733, Loss  0.888795, Average Loss  0.869358, Time  0.436337
2021-09-12 02:50:07.159993 : Epoch  7, Batch   1734, Loss  0.874781, Average Loss  0.869338, Time  0.365977
2021-09-12 02:50:13.065896 : Epoch  7, Batch   1735, Loss  0.880858, Average Loss  0.869449, Time  0.236902
2021-09-12 02:50:19.066333 : Epoch  7, Batch   1736, Loss  0.877580, Average Loss  0.869459, Time  0.413099
2021-09-12 02:50:26.600409 : Epoch  7, Batch   1737, Loss  0.872297, Average Loss  0.869482, Time  0.293845
2021-09-12 02:50:32.759371 : Epoch  7, Batch   1738, Loss  0.839768, Average Loss  0.869438, Time  0.329426
2021-09-12 02:50:38.627023 : Epoch  7, Batch   1739, Loss  0.851825, Average Loss  0.869311, Time  0.481267
2021-09-12 02:50:46.240895 : Epoch  7, Batch   1740, Loss  0.857346, Average Loss  0.869280, Time  0.483641
2021-09-12 02:50:54.654610 : Epoch  7, Batch   1741, Loss  0.860192, Average Loss  0.869348, Time  0.428452
2021-09-12 02:51:01.389124 : Epoch  7, Batch   1742, Loss  0.872770, Average Loss  0.869353, Time  0.309796
2021-09-12 02:51:07.936846 : Epoch  7, Batch   1743, Loss  0.864104, Average Loss  0.869230, Time  0.287260
2021-09-12 02:51:16.293013 : Epoch  7, Batch   1744, Loss  0.859531, Average Loss  0.869150, Time  0.374139
2021-09-12 02:51:25.186185 : Epoch  7, Batch   1745, Loss  0.857103, Average Loss  0.869156, Time  0.356827
2021-09-12 02:51:32.814931 : Epoch  7, Batch   1746, Loss  0.879804, Average Loss  0.869210, Time  0.428119
2021-09-12 02:51:35.522958 : Epoch  7, Batch   1747, Loss  0.849029, Average Loss  0.869234, Time  0.260493
2021-09-12 02:51:41.266820 : Epoch  7, Batch   1748, Loss  0.863695, Average Loss  0.869077, Time  0.324877
2021-09-12 02:51:50.766199 : Epoch  7, Batch   1749, Loss  0.881799, Average Loss  0.869261, Time  0.345298
2021-09-12 02:51:57.887390 : Epoch  7, Batch   1750, Loss  0.868495, Average Loss  0.869226, Time  0.395310
2021-09-12 02:52:04.918820 : Epoch  7, Batch   1751, Loss  0.880071, Average Loss  0.869181, Time  0.341917
2021-09-12 02:52:12.419036 : Epoch  7, Batch   1752, Loss  0.888222, Average Loss  0.869142, Time  0.623882
2021-09-12 02:52:18.268831 : Epoch  7, Batch   1753, Loss  0.871985, Average Loss  0.869232, Time  0.387747
2021-09-12 02:52:21.544309 : Epoch  7, Batch   1754, Loss  0.874234, Average Loss  0.869269, Time  0.296728
2021-09-12 02:52:26.567349 : Epoch  7, Batch   1755, Loss  0.857125, Average Loss  0.869093, Time  0.282637
2021-09-12 02:52:32.814907 : Epoch  7, Batch   1756, Loss  0.865044, Average Loss  0.869108, Time  0.317780
2021-09-12 02:52:37.370904 : Epoch  7, Batch   1757, Loss  0.874495, Average Loss  0.869208, Time  0.236850
2021-09-12 02:52:40.927038 : Epoch  7, Batch   1758, Loss  0.864054, Average Loss  0.869233, Time  0.237354
2021-09-12 02:52:44.851075 : Epoch  7, Batch   1759, Loss  0.880212, Average Loss  0.869331, Time  0.302378
2021-09-12 02:52:49.641018 : Epoch  7, Batch   1760, Loss  0.866983, Average Loss  0.869425, Time  0.401199
2021-09-12 02:52:53.202861 : Epoch  7, Batch   1761, Loss  0.862161, Average Loss  0.869276, Time  0.283285
2021-09-12 02:52:56.466421 : Epoch  7, Batch   1762, Loss  0.892923, Average Loss  0.869382, Time  0.315293
2021-09-12 02:53:00.105145 : Epoch  7, Batch   1763, Loss  0.874974, Average Loss  0.869412, Time  0.353969
2021-09-12 02:53:04.414214 : Epoch  7, Batch   1764, Loss  0.895322, Average Loss  0.869488, Time  0.347194
2021-09-12 03:03:39.286906 : CheckPoint: Validation Loss  0.00030090, Best Loss  0.00029019
2021-09-12 03:03:48.656961 : Epoch  7, Batch   1765, Loss  0.848512, Average Loss  0.869417, Time  0.346344
2021-09-12 03:03:52.312976 : Epoch  7, Batch   1766, Loss  0.876087, Average Loss  0.869461, Time  0.383434
2021-09-12 03:04:01.438306 : Epoch  7, Batch   1767, Loss  0.867192, Average Loss  0.869446, Time  0.395849
2021-09-12 03:04:05.795833 : Epoch  7, Batch   1768, Loss  0.858674, Average Loss  0.869454, Time  0.242380
2021-09-12 03:04:13.784234 : Epoch  7, Batch   1769, Loss  0.891650, Average Loss  0.869508, Time  0.481248
2021-09-12 03:04:20.216355 : Epoch  7, Batch   1770, Loss  0.877476, Average Loss  0.869529, Time  0.323671
2021-09-12 03:04:28.731313 : Epoch  7, Batch   1771, Loss  0.855192, Average Loss  0.869418, Time  0.287184
2021-09-12 03:04:33.092803 : Epoch  7, Batch   1772, Loss  0.884245, Average Loss  0.869464, Time  0.246519
2021-09-12 03:04:40.258180 : Epoch  7, Batch   1773, Loss  0.869139, Average Loss  0.869491, Time  0.275720
2021-09-12 03:04:48.107337 : Epoch  7, Batch   1774, Loss  0.878295, Average Loss  0.869581, Time  0.309899
2021-09-12 03:04:53.036056 : Epoch  7, Batch   1775, Loss  0.870365, Average Loss  0.869655, Time  0.300201
2021-09-12 03:05:00.247334 : Epoch  7, Batch   1776, Loss  0.857636, Average Loss  0.869572, Time  0.421374
2021-09-12 03:05:03.747873 : Epoch  7, Batch   1777, Loss  0.879481, Average Loss  0.869530, Time  0.398565
2021-09-12 03:05:11.462087 : Epoch  7, Batch   1778, Loss  0.855510, Average Loss  0.869422, Time  0.342108
2021-09-12 03:05:18.216375 : Epoch  7, Batch   1779, Loss  0.894429, Average Loss  0.869579, Time  0.396769
2021-09-12 03:05:23.639565 : Epoch  7, Batch   1780, Loss  0.867940, Average Loss  0.869487, Time  0.324543
2021-09-12 03:05:32.436341 : Epoch  7, Batch   1781, Loss  0.880545, Average Loss  0.869529, Time  0.360353
2021-09-12 03:05:38.038198 : Epoch  7, Batch   1782, Loss  0.868989, Average Loss  0.869546, Time  0.257310
2021-09-12 03:05:44.434949 : Epoch  7, Batch   1783, Loss  0.879645, Average Loss  0.869599, Time  0.438935
2021-09-12 03:05:51.534279 : Epoch  7, Batch   1784, Loss  0.902292, Average Loss  0.869685, Time  0.467896
2021-09-12 03:06:00.911856 : Epoch  7, Batch   1785, Loss  0.891121, Average Loss  0.869839, Time  0.261437
2021-09-12 03:06:08.813378 : Epoch  7, Batch   1786, Loss  0.880313, Average Loss  0.869982, Time  0.463024
2021-09-12 03:06:16.422395 : Epoch  7, Batch   1787, Loss  0.859320, Average Loss  0.869749, Time  0.428469
2021-09-12 03:06:21.950928 : Epoch  7, Batch   1788, Loss  0.895931, Average Loss  0.869867, Time  0.330881
2021-09-12 03:06:27.840598 : Epoch  7, Batch   1789, Loss  0.842311, Average Loss  0.869672, Time  0.517807
2021-09-12 03:06:33.366667 : Epoch  7, Batch   1790, Loss  0.864756, Average Loss  0.869580, Time  0.299596
2021-09-12 03:06:40.275095 : Epoch  7, Batch   1791, Loss  0.870550, Average Loss  0.869656, Time  0.430004
2021-09-12 03:06:44.200888 : Epoch  7, Batch   1792, Loss  0.868515, Average Loss  0.869607, Time  0.270198
2021-09-12 03:06:48.654919 : Epoch  7, Batch   1793, Loss  0.866131, Average Loss  0.869676, Time  0.348915
2021-09-12 03:06:52.887193 : Epoch  7, Batch   1794, Loss  0.849795, Average Loss  0.869593, Time  0.282946
2021-09-12 03:06:58.367564 : Epoch  7, Batch   1795, Loss  0.865637, Average Loss  0.869613, Time  0.236610
2021-09-12 03:07:03.211302 : Epoch  7, Batch   1796, Loss  0.863943, Average Loss  0.869645, Time  0.294527
2021-09-12 03:07:08.980369 : Epoch  7, Batch   1797, Loss  0.868776, Average Loss  0.869580, Time  0.337384
2021-09-12 03:07:15.720990 : Epoch  7, Batch   1798, Loss  0.861872, Average Loss  0.869419, Time  0.320405
2021-09-12 03:07:22.065787 : Epoch  7, Batch   1799, Loss  0.864785, Average Loss  0.869492, Time  0.311716
2021-09-12 03:07:27.445393 : Epoch  7, Batch   1800, Loss  0.888896, Average Loss  0.869554, Time  0.345424
2021-09-12 03:07:34.725207 : Epoch  7, Batch   1801, Loss  0.861022, Average Loss  0.869527, Time  0.396702
2021-09-12 03:07:40.750358 : Epoch  7, Batch   1802, Loss  0.859192, Average Loss  0.869519, Time  0.297834
2021-09-12 03:07:46.140351 : Epoch  7, Batch   1803, Loss  0.870379, Average Loss  0.869503, Time  0.521646
2021-09-12 03:07:50.972609 : Epoch  7, Batch   1804, Loss  0.858518, Average Loss  0.869472, Time  0.356544
2021-09-12 03:07:55.642327 : Epoch  7, Batch   1805, Loss  0.868248, Average Loss  0.869416, Time  0.278407
2021-09-12 03:08:02.301385 : Epoch  7, Batch   1806, Loss  0.870535, Average Loss  0.869514, Time  0.280949
2021-09-12 03:08:07.941704 : Epoch  7, Batch   1807, Loss  0.857177, Average Loss  0.869368, Time  0.261788
2021-09-12 03:08:13.473027 : Epoch  7, Batch   1808, Loss  0.861569, Average Loss  0.869329, Time  0.289755
2021-09-12 03:08:19.423898 : Epoch  7, Batch   1809, Loss  0.862639, Average Loss  0.869279, Time  0.416109
2021-09-12 03:08:23.826874 : Epoch  7, Batch   1810, Loss  0.865910, Average Loss  0.869268, Time  0.418661
2021-09-12 03:08:29.254826 : Epoch  7, Batch   1811, Loss  0.859984, Average Loss  0.869151, Time  0.331219
2021-09-12 03:08:34.812983 : Epoch  7, Batch   1812, Loss  0.876841, Average Loss  0.869268, Time  0.318674
2021-09-12 03:08:41.504652 : Epoch  7, Batch   1813, Loss  0.872564, Average Loss  0.869271, Time  0.258761
2021-09-12 03:08:45.736566 : Epoch  7, Batch   1814, Loss  0.876091, Average Loss  0.869307, Time  0.320789
2021-09-12 03:08:48.439526 : Epoch  7, Batch   1815, Loss  0.855489, Average Loss  0.869218, Time  0.258691
2021-09-12 03:08:52.545370 : Epoch  7, Batch   1816, Loss  0.875219, Average Loss  0.869239, Time  0.247034
2021-09-12 03:08:57.240005 : Epoch  7, Batch   1817, Loss  0.880874, Average Loss  0.869269, Time  0.273304
2021-09-12 03:09:00.946594 : Epoch  7, Batch   1818, Loss  0.859422, Average Loss  0.869209, Time  0.313699
2021-09-12 03:09:06.958112 : Epoch  7, Batch   1819, Loss  0.850969, Average Loss  0.869196, Time  0.293805
2021-09-12 03:09:12.638905 : Epoch  7, Batch   1820, Loss  0.860495, Average Loss  0.869175, Time  0.258720
2021-09-12 03:09:18.143036 : Epoch  7, Batch   1821, Loss  0.876223, Average Loss  0.869251, Time  0.336179
2021-09-12 03:09:23.844574 : Epoch  7, Batch   1822, Loss  0.863015, Average Loss  0.869242, Time  0.521499
2021-09-12 03:09:29.788013 : Epoch  7, Batch   1823, Loss  0.872180, Average Loss  0.869424, Time  0.353326
2021-09-12 03:09:34.826340 : Epoch  7, Batch   1824, Loss  0.883938, Average Loss  0.869511, Time  0.250866
2021-09-12 03:09:43.813161 : Epoch  7, Batch   1825, Loss  0.871932, Average Loss  0.869530, Time  0.389075
2021-09-12 03:09:47.341093 : Epoch  7, Batch   1826, Loss  0.859492, Average Loss  0.869565, Time  0.256676
2021-09-12 03:09:52.681114 : Epoch  7, Batch   1827, Loss  0.871327, Average Loss  0.869687, Time  0.315734
2021-09-12 03:09:58.133919 : Epoch  7, Batch   1828, Loss  0.848705, Average Loss  0.869533, Time  0.541935
2021-09-12 03:10:06.185318 : Epoch  7, Batch   1829, Loss  0.861186, Average Loss  0.869517, Time  0.279558
2021-09-12 03:10:13.865091 : Epoch  7, Batch   1830, Loss  0.858377, Average Loss  0.869365, Time  0.336289
2021-09-12 03:10:22.619259 : Epoch  7, Batch   1831, Loss  0.852428, Average Loss  0.869256, Time  0.405442
2021-09-12 03:10:29.013987 : Epoch  7, Batch   1832, Loss  0.865660, Average Loss  0.869290, Time  0.366809
2021-09-12 03:10:34.005989 : Epoch  7, Batch   1833, Loss  0.854327, Average Loss  0.869102, Time  0.290018
2021-09-12 03:10:43.162958 : Epoch  7, Batch   1834, Loss  0.872457, Average Loss  0.869119, Time  0.369306
2021-09-12 03:10:49.530494 : Epoch  7, Batch   1835, Loss  0.873963, Average Loss  0.869166, Time  0.236487
2021-09-12 03:10:55.855308 : Epoch  7, Batch   1836, Loss  0.862393, Average Loss  0.869167, Time  0.292820
2021-09-12 03:11:03.366871 : Epoch  7, Batch   1837, Loss  0.861417, Average Loss  0.869217, Time  0.328207
2021-09-12 03:11:08.945975 : Epoch  7, Batch   1838, Loss  0.893659, Average Loss  0.869264, Time  0.275829
2021-09-12 03:11:15.034875 : Epoch  7, Batch   1839, Loss  0.872407, Average Loss  0.869344, Time  0.348557
2021-09-12 03:11:22.740891 : Epoch  7, Batch   1840, Loss  0.880614, Average Loss  0.869301, Time  0.532562
2021-09-12 03:11:31.375945 : Epoch  7, Batch   1841, Loss  0.885692, Average Loss  0.869354, Time  0.410819
2021-09-12 03:11:38.410982 : Epoch  7, Batch   1842, Loss  0.871246, Average Loss  0.869355, Time  0.331652
2021-09-12 03:11:43.978774 : Epoch  7, Batch   1843, Loss  0.855896, Average Loss  0.869179, Time  0.378181
2021-09-12 03:11:51.180049 : Epoch  7, Batch   1844, Loss  0.859354, Average Loss  0.869034, Time  0.317072
2021-09-12 03:11:56.862791 : Epoch  7, Batch   1845, Loss  0.883111, Average Loss  0.869172, Time  0.279181
2021-09-12 03:12:05.165048 : Epoch  7, Batch   1846, Loss  0.847557, Average Loss  0.868981, Time  0.383021
2021-09-12 03:12:11.366356 : Epoch  7, Batch   1847, Loss  0.871391, Average Loss  0.869016, Time  0.438143
2021-09-12 03:12:18.901351 : Epoch  7, Batch   1848, Loss  0.856185, Average Loss  0.868902, Time  0.259500
2021-09-12 03:12:24.876895 : Epoch  7, Batch   1849, Loss  0.886484, Average Loss  0.868798, Time  0.286227
2021-09-12 03:12:33.481901 : Epoch  7, Batch   1850, Loss  0.873186, Average Loss  0.868791, Time  0.482643
2021-09-12 03:12:38.926728 : Epoch  7, Batch   1851, Loss  0.843248, Average Loss  0.868645, Time  0.294921
2021-09-12 03:12:46.590985 : Epoch  7, Batch   1852, Loss  0.862829, Average Loss  0.868560, Time  0.237098
2021-09-12 03:12:51.176031 : Epoch  7, Batch   1853, Loss  0.863390, Average Loss  0.868551, Time  0.343702
2021-09-12 03:12:59.910840 : Epoch  7, Batch   1854, Loss  0.888708, Average Loss  0.868705, Time  0.310572
2021-09-12 03:13:08.971925 : Epoch  7, Batch   1855, Loss  0.862705, Average Loss  0.868637, Time  0.315894
2021-09-12 03:13:16.108143 : Epoch  7, Batch   1856, Loss  0.883894, Average Loss  0.868660, Time  0.373717
2021-09-12 03:13:16.135734 : Saving Model after 7-th Epoch.
2021-09-12 03:13:17.111798 : Epoch Finished.
2021-09-12 03:13:33.641825 : Batch Shuffled
2021-09-12 03:13:41.660844 : Epoch  8, Batch      1, Loss  0.853005, Average Loss  0.868563, Time  0.443805
2021-09-12 03:13:46.353164 : Epoch  8, Batch      2, Loss  0.867866, Average Loss  0.868568, Time  0.260652
2021-09-12 03:13:55.199407 : Epoch  8, Batch      3, Loss  0.868397, Average Loss  0.868634, Time  0.422139
2021-09-12 03:14:01.742986 : Epoch  8, Batch      4, Loss  0.878781, Average Loss  0.868708, Time  0.355072
2021-09-12 03:14:07.530024 : Epoch  8, Batch      5, Loss  0.890877, Average Loss  0.868898, Time  0.384703
2021-09-12 03:14:13.326902 : Epoch  8, Batch      6, Loss  0.879515, Average Loss  0.868936, Time  0.317188
2021-09-12 03:14:20.356045 : Epoch  8, Batch      7, Loss  0.876662, Average Loss  0.868935, Time  0.345029
2021-09-12 03:14:41.077993 : Epoch  8, Batch      8, Loss  0.851271, Average Loss  0.868780, Time  0.309186
2021-09-12 03:24:23.247688 : CheckPoint: Validation Loss  0.00029725, Best Loss  0.00029019
2021-09-12 03:24:30.517918 : Epoch  8, Batch      9, Loss  0.874964, Average Loss  0.868804, Time  0.313670
2021-09-12 03:24:36.038340 : Epoch  8, Batch     10, Loss  0.888749, Average Loss  0.868837, Time  0.399092
2021-09-12 03:24:44.188299 : Epoch  8, Batch     11, Loss  0.887092, Average Loss  0.868928, Time  0.489069
2021-09-12 03:24:48.810342 : Epoch  8, Batch     12, Loss  0.848228, Average Loss  0.868889, Time  0.392706
2021-09-12 03:24:55.748724 : Epoch  8, Batch     13, Loss  0.899467, Average Loss  0.868981, Time  0.472068
2021-09-12 03:25:02.081498 : Epoch  8, Batch     14, Loss  0.846991, Average Loss  0.868818, Time  0.305012
2021-09-12 03:25:09.411892 : Epoch  8, Batch     15, Loss  0.854086, Average Loss  0.868700, Time  0.313764
2021-09-12 03:25:17.593366 : Epoch  8, Batch     16, Loss  0.862175, Average Loss  0.868628, Time  0.461432
2021-09-12 03:25:22.049870 : Epoch  8, Batch     17, Loss  0.864833, Average Loss  0.868606, Time  0.271933
2021-09-12 03:25:27.417581 : Epoch  8, Batch     18, Loss  0.857364, Average Loss  0.868631, Time  0.257797
2021-09-12 03:25:32.522031 : Epoch  8, Batch     19, Loss  0.849089, Average Loss  0.868538, Time  0.309489
2021-09-12 03:25:35.644463 : Epoch  8, Batch     20, Loss  0.868290, Average Loss  0.868495, Time  0.292020
2021-09-12 03:25:41.158048 : Epoch  8, Batch     21, Loss  0.882357, Average Loss  0.868595, Time  0.451044
2021-09-12 03:25:46.556356 : Epoch  8, Batch     22, Loss  0.866614, Average Loss  0.868405, Time  0.265709
2021-09-12 03:25:51.553257 : Epoch  8, Batch     23, Loss  0.865208, Average Loss  0.868379, Time  0.336977
2021-09-12 03:25:56.675817 : Epoch  8, Batch     24, Loss  0.843345, Average Loss  0.868290, Time  0.276721
2021-09-12 03:26:02.110022 : Epoch  8, Batch     25, Loss  0.901872, Average Loss  0.868456, Time  0.307510
2021-09-12 03:26:07.786661 : Epoch  8, Batch     26, Loss  0.880763, Average Loss  0.868408, Time  0.299548
2021-09-12 03:26:10.981890 : Epoch  8, Batch     27, Loss  0.866223, Average Loss  0.868373, Time  0.337590
2021-09-12 03:26:14.333331 : Epoch  8, Batch     28, Loss  0.885321, Average Loss  0.868478, Time  0.251336
2021-09-12 03:26:18.845946 : Epoch  8, Batch     29, Loss  0.870840, Average Loss  0.868465, Time  0.322267
2021-09-12 03:26:24.215011 : Epoch  8, Batch     30, Loss  0.851615, Average Loss  0.868247, Time  0.295746
2021-09-12 03:26:29.027221 : Epoch  8, Batch     31, Loss  0.879268, Average Loss  0.868310, Time  0.258079
2021-09-12 03:26:36.191849 : Epoch  8, Batch     32, Loss  0.861292, Average Loss  0.868294, Time  0.411895
2021-09-12 03:26:40.023106 : Epoch  8, Batch     33, Loss  0.871293, Average Loss  0.868264, Time  0.302902
2021-09-12 03:26:44.731796 : Epoch  8, Batch     34, Loss  0.879504, Average Loss  0.868371, Time  0.293664
2021-09-12 03:26:50.249798 : Epoch  8, Batch     35, Loss  0.861470, Average Loss  0.868469, Time  0.278657
2021-09-12 03:26:54.815091 : Epoch  8, Batch     36, Loss  0.850498, Average Loss  0.868458, Time  0.275852
2021-09-12 03:26:59.076883 : Epoch  8, Batch     37, Loss  0.870740, Average Loss  0.868507, Time  0.295596
2021-09-12 03:27:02.942355 : Epoch  8, Batch     38, Loss  0.870005, Average Loss  0.868440, Time  0.279417
2021-09-12 03:27:11.535405 : Epoch  8, Batch     39, Loss  0.879062, Average Loss  0.868388, Time  0.276313
2021-09-12 03:27:15.769606 : Epoch  8, Batch     40, Loss  0.864952, Average Loss  0.868381, Time  0.257655
2021-09-12 03:27:18.545636 : Epoch  8, Batch     41, Loss  0.852642, Average Loss  0.868316, Time  0.277417
2021-09-12 03:27:25.580367 : Epoch  8, Batch     42, Loss  0.886307, Average Loss  0.868407, Time  0.334105
2021-09-12 03:27:31.825643 : Epoch  8, Batch     43, Loss  0.898403, Average Loss  0.868628, Time  0.478069
2021-09-12 03:27:36.904955 : Epoch  8, Batch     44, Loss  0.844861, Average Loss  0.868488, Time  0.284130
2021-09-12 03:27:41.428506 : Epoch  8, Batch     45, Loss  0.874733, Average Loss  0.868564, Time  0.236665
2021-09-12 03:27:46.083879 : Epoch  8, Batch     46, Loss  0.850717, Average Loss  0.868551, Time  0.267489
2021-09-12 03:27:51.235889 : Epoch  8, Batch     47, Loss  0.881030, Average Loss  0.868648, Time  0.284450
2021-09-12 03:27:57.097474 : Epoch  8, Batch     48, Loss  0.877041, Average Loss  0.868736, Time  0.258248
2021-09-12 03:28:02.277882 : Epoch  8, Batch     49, Loss  0.861442, Average Loss  0.868780, Time  0.297202
2021-09-12 03:28:05.688378 : Epoch  8, Batch     50, Loss  0.864143, Average Loss  0.868749, Time  0.268443
2021-09-12 03:28:10.889389 : Epoch  8, Batch     51, Loss  0.871289, Average Loss  0.868739, Time  0.375317
2021-09-12 03:28:16.954155 : Epoch  8, Batch     52, Loss  0.891410, Average Loss  0.868935, Time  0.327326
2021-09-12 03:28:21.134123 : Epoch  8, Batch     53, Loss  0.888882, Average Loss  0.868993, Time  0.280972
2021-09-12 03:28:27.428362 : Epoch  8, Batch     54, Loss  0.873793, Average Loss  0.869055, Time  0.326017
2021-09-12 03:28:31.318814 : Epoch  8, Batch     55, Loss  0.870635, Average Loss  0.869026, Time  0.477675
2021-09-12 03:28:37.287941 : Epoch  8, Batch     56, Loss  0.884129, Average Loss  0.869060, Time  0.308930
2021-09-12 03:28:42.629931 : Epoch  8, Batch     57, Loss  0.870081, Average Loss  0.869080, Time  0.395276
2021-09-12 03:28:49.455838 : Epoch  8, Batch     58, Loss  0.867591, Average Loss  0.869065, Time  0.339614
2021-09-12 03:28:54.254048 : Epoch  8, Batch     59, Loss  0.863764, Average Loss  0.869115, Time  0.295036
2021-09-12 03:29:01.498833 : Epoch  8, Batch     60, Loss  0.872967, Average Loss  0.869185, Time  0.397769
2021-09-12 03:29:07.621372 : Epoch  8, Batch     61, Loss  0.869955, Average Loss  0.869227, Time  0.290618
2021-09-12 03:29:12.185151 : Epoch  8, Batch     62, Loss  0.857813, Average Loss  0.869125, Time  0.382929
2021-09-12 03:29:17.166570 : Epoch  8, Batch     63, Loss  0.876791, Average Loss  0.869231, Time  0.368840
2021-09-12 03:29:22.844531 : Epoch  8, Batch     64, Loss  0.857176, Average Loss  0.869183, Time  0.248764
2021-09-12 03:29:28.352961 : Epoch  8, Batch     65, Loss  0.859795, Average Loss  0.869135, Time  0.267607
2021-09-12 03:29:32.891891 : Epoch  8, Batch     66, Loss  0.857686, Average Loss  0.869090, Time  0.281760
2021-09-12 03:29:37.709020 : Epoch  8, Batch     67, Loss  0.861238, Average Loss  0.869073, Time  0.276973
2021-09-12 03:29:41.969880 : Epoch  8, Batch     68, Loss  0.869183, Average Loss  0.869028, Time  0.339047
2021-09-12 03:29:45.265559 : Epoch  8, Batch     69, Loss  0.862822, Average Loss  0.869057, Time  0.314253
2021-09-12 03:29:49.406837 : Epoch  8, Batch     70, Loss  0.874754, Average Loss  0.869108, Time  0.301885
2021-09-12 03:29:55.189951 : Epoch  8, Batch     71, Loss  0.877339, Average Loss  0.869171, Time  0.401377
2021-09-12 03:30:00.666325 : Epoch  8, Batch     72, Loss  0.858834, Average Loss  0.869262, Time  0.351210
2021-09-12 03:30:05.950916 : Epoch  8, Batch     73, Loss  0.874212, Average Loss  0.869304, Time  0.261570
2021-09-12 03:30:10.836974 : Epoch  8, Batch     74, Loss  0.874309, Average Loss  0.869335, Time  0.270237
2021-09-12 03:30:16.912180 : Epoch  8, Batch     75, Loss  0.864660, Average Loss  0.869330, Time  0.306643
2021-09-12 03:30:22.730360 : Epoch  8, Batch     76, Loss  0.865552, Average Loss  0.869226, Time  0.267017
2021-09-12 03:30:28.308930 : Epoch  8, Batch     77, Loss  0.865506, Average Loss  0.869109, Time  0.247904
2021-09-12 03:30:33.728613 : Epoch  8, Batch     78, Loss  0.869066, Average Loss  0.869081, Time  0.295709
2021-09-12 03:30:39.883835 : Epoch  8, Batch     79, Loss  0.884052, Average Loss  0.869097, Time  0.347260
2021-09-12 03:30:43.595359 : Epoch  8, Batch     80, Loss  0.853794, Average Loss  0.868978, Time  0.327806
2021-09-12 03:30:48.665786 : Epoch  8, Batch     81, Loss  0.856887, Average Loss  0.868901, Time  0.271812
2021-09-12 03:30:54.629370 : Epoch  8, Batch     82, Loss  0.847094, Average Loss  0.868937, Time  0.249334
2021-09-12 03:30:59.607410 : Epoch  8, Batch     83, Loss  0.874595, Average Loss  0.869051, Time  0.280465
2021-09-12 03:31:07.264377 : Epoch  8, Batch     84, Loss  0.882769, Average Loss  0.869178, Time  0.362703
2021-09-12 03:31:13.518991 : Epoch  8, Batch     85, Loss  0.888079, Average Loss  0.869318, Time  0.249751
2021-09-12 03:31:18.298296 : Epoch  8, Batch     86, Loss  0.877120, Average Loss  0.869340, Time  0.322122
2021-09-12 03:31:23.520036 : Epoch  8, Batch     87, Loss  0.869423, Average Loss  0.869366, Time  0.264626
2021-09-12 03:31:28.992018 : Epoch  8, Batch     88, Loss  0.883227, Average Loss  0.869485, Time  0.376696
2021-09-12 03:31:35.081907 : Epoch  8, Batch     89, Loss  0.854080, Average Loss  0.869470, Time  0.306381
2021-09-12 03:31:43.349914 : Epoch  8, Batch     90, Loss  0.886039, Average Loss  0.869501, Time  0.290587
2021-09-12 03:31:47.979879 : Epoch  8, Batch     91, Loss  0.871755, Average Loss  0.869614, Time  0.247152
2021-09-12 03:31:53.017818 : Epoch  8, Batch     92, Loss  0.875425, Average Loss  0.869673, Time  0.275915
2021-09-12 03:32:01.185807 : Epoch  8, Batch     93, Loss  0.859688, Average Loss  0.869562, Time  0.306699
2021-09-12 03:32:05.969016 : Epoch  8, Batch     94, Loss  0.863147, Average Loss  0.869536, Time  0.298715
2021-09-12 03:32:11.617927 : Epoch  8, Batch     95, Loss  0.858097, Average Loss  0.869426, Time  0.321220
2021-09-12 03:32:15.543113 : Epoch  8, Batch     96, Loss  0.833884, Average Loss  0.869154, Time  0.306731
2021-09-12 03:32:20.298924 : Epoch  8, Batch     97, Loss  0.858728, Average Loss  0.869088, Time  0.280530
2021-09-12 03:32:26.414678 : Epoch  8, Batch     98, Loss  0.871437, Average Loss  0.869074, Time  0.429311
2021-09-12 03:32:33.155467 : Epoch  8, Batch     99, Loss  0.861777, Average Loss  0.869097, Time  0.387145
2021-09-12 03:32:41.583937 : Epoch  8, Batch    100, Loss  0.831039, Average Loss  0.868927, Time  0.371010
2021-09-12 03:32:46.081854 : Epoch  8, Batch    101, Loss  0.865926, Average Loss  0.868884, Time  0.391126
2021-09-12 03:32:52.551992 : Epoch  8, Batch    102, Loss  0.855673, Average Loss  0.868842, Time  0.376181
2021-09-12 03:33:00.180494 : Epoch  8, Batch    103, Loss  0.865143, Average Loss  0.868767, Time  0.515771
2021-09-12 03:33:05.504983 : Epoch  8, Batch    104, Loss  0.878210, Average Loss  0.868823, Time  0.343969
2021-09-12 03:33:11.071957 : Epoch  8, Batch    105, Loss  0.876135, Average Loss  0.868893, Time  0.374115
2021-09-12 03:33:16.446899 : Epoch  8, Batch    106, Loss  0.848508, Average Loss  0.868671, Time  0.255539
2021-09-12 03:33:21.183513 : Epoch  8, Batch    107, Loss  0.865170, Average Loss  0.868622, Time  0.341954
2021-09-12 03:33:26.797402 : Epoch  8, Batch    108, Loss  0.875756, Average Loss  0.868524, Time  0.319029
2021-09-12 03:45:25.279941 : CheckPoint: Validation Loss  0.00030495, Best Loss  0.00029019
2021-09-12 03:45:33.313326 : Epoch  8, Batch    109, Loss  0.853492, Average Loss  0.868549, Time  0.337399
2021-09-12 03:45:41.921851 : Epoch  8, Batch    110, Loss  0.852839, Average Loss  0.868433, Time  0.345213
2021-09-12 03:45:47.380693 : Epoch  8, Batch    111, Loss  0.869649, Average Loss  0.868445, Time  0.265893
2021-09-12 03:45:55.904991 : Epoch  8, Batch    112, Loss  0.883034, Average Loss  0.868567, Time  0.480335
2021-09-12 03:46:02.624329 : Epoch  8, Batch    113, Loss  0.872933, Average Loss  0.868473, Time  0.426779
2021-09-12 03:46:09.224012 : Epoch  8, Batch    114, Loss  0.879365, Average Loss  0.868483, Time  0.251567
2021-09-12 03:46:13.912733 : Epoch  8, Batch    115, Loss  0.875709, Average Loss  0.868585, Time  0.412105
2021-09-12 03:46:22.892924 : Epoch  8, Batch    116, Loss  0.853354, Average Loss  0.868431, Time  0.294356
2021-09-12 03:46:31.081896 : Epoch  8, Batch    117, Loss  0.865351, Average Loss  0.868412, Time  0.403287
2021-09-12 03:46:39.847078 : Epoch  8, Batch    118, Loss  0.890731, Average Loss  0.868474, Time  0.290656
2021-09-12 03:46:48.386737 : Epoch  8, Batch    119, Loss  0.870410, Average Loss  0.868474, Time  0.368935
2021-09-12 03:46:57.647712 : Epoch  8, Batch    120, Loss  0.870787, Average Loss  0.868540, Time  0.374580
2021-09-12 03:47:06.055715 : Epoch  8, Batch    121, Loss  0.861281, Average Loss  0.868449, Time  0.376318
2021-09-12 03:47:14.930716 : Epoch  8, Batch    122, Loss  0.869673, Average Loss  0.868520, Time  0.379266
2021-09-12 03:47:22.658715 : Epoch  8, Batch    123, Loss  0.871417, Average Loss  0.868405, Time  0.336399
2021-09-12 03:47:30.856892 : Epoch  8, Batch    124, Loss  0.882045, Average Loss  0.868475, Time  0.370455
2021-09-12 03:47:40.520897 : Epoch  8, Batch    125, Loss  0.872805, Average Loss  0.868437, Time  0.333540
2021-09-12 03:47:45.346077 : Epoch  8, Batch    126, Loss  0.841754, Average Loss  0.868300, Time  0.361420
2021-09-12 03:47:51.611129 : Epoch  8, Batch    127, Loss  0.887418, Average Loss  0.868339, Time  0.310236
2021-09-12 03:47:58.108814 : Epoch  8, Batch    128, Loss  0.873125, Average Loss  0.868193, Time  0.451767
2021-09-12 03:48:02.704973 : Epoch  8, Batch    129, Loss  0.878414, Average Loss  0.868130, Time  0.307694
2021-09-12 03:48:09.442734 : Epoch  8, Batch    130, Loss  0.844454, Average Loss  0.867951, Time  0.317251
2021-09-12 03:48:17.793905 : Epoch  8, Batch    131, Loss  0.868824, Average Loss  0.867998, Time  0.463438
2021-09-12 03:48:24.138558 : Epoch  8, Batch    132, Loss  0.866187, Average Loss  0.867849, Time  0.315315
2021-09-12 03:48:32.968840 : Epoch  8, Batch    133, Loss  0.879051, Average Loss  0.868033, Time  0.292989
2021-09-12 03:48:42.950882 : Epoch  8, Batch    134, Loss  0.871214, Average Loss  0.868065, Time  0.369698
2021-09-12 03:48:48.654341 : Epoch  8, Batch    135, Loss  0.882738, Average Loss  0.868126, Time  0.285868
2021-09-12 03:48:55.461147 : Epoch  8, Batch    136, Loss  0.903920, Average Loss  0.868303, Time  0.287097
2021-09-12 03:49:02.622092 : Epoch  8, Batch    137, Loss  0.865624, Average Loss  0.868301, Time  0.447448
2021-09-12 03:49:08.177751 : Epoch  8, Batch    138, Loss  0.874084, Average Loss  0.868422, Time  0.352161
2021-09-12 03:49:15.050970 : Epoch  8, Batch    139, Loss  0.872181, Average Loss  0.868455, Time  0.373088
2021-09-12 03:49:19.239770 : Epoch  8, Batch    140, Loss  0.869465, Average Loss  0.868483, Time  0.236960
2021-09-12 03:49:26.182408 : Epoch  8, Batch    141, Loss  0.859948, Average Loss  0.868438, Time  0.351176
2021-09-12 03:49:35.875636 : Epoch  8, Batch    142, Loss  0.872598, Average Loss  0.868492, Time  0.395944
2021-09-12 03:49:40.368200 : Epoch  8, Batch    143, Loss  0.858296, Average Loss  0.868460, Time  0.312778
2021-09-12 03:49:49.996155 : Epoch  8, Batch    144, Loss  0.897895, Average Loss  0.868505, Time  0.316670
2021-09-12 03:49:58.097755 : Epoch  8, Batch    145, Loss  0.869284, Average Loss  0.868546, Time  0.480708
2021-09-12 03:50:05.263201 : Epoch  8, Batch    146, Loss  0.882301, Average Loss  0.868661, Time  0.266787
2021-09-12 03:50:15.199085 : Epoch  8, Batch    147, Loss  0.877000, Average Loss  0.868695, Time  0.318159
2021-09-12 03:50:23.077100 : Epoch  8, Batch    148, Loss  0.884957, Average Loss  0.868827, Time  0.319472
2021-09-12 03:50:32.177292 : Epoch  8, Batch    149, Loss  0.886346, Average Loss  0.868917, Time  0.372034
2021-09-12 03:50:39.182910 : Epoch  8, Batch    150, Loss  0.868095, Average Loss  0.868905, Time  0.271019
2021-09-12 03:50:46.973686 : Epoch  8, Batch    151, Loss  0.843084, Average Loss  0.868835, Time  0.261245
2021-09-12 03:50:55.976000 : Epoch  8, Batch    152, Loss  0.860628, Average Loss  0.868830, Time  0.237537
2021-09-12 03:51:04.049199 : Epoch  8, Batch    153, Loss  0.863692, Average Loss  0.868835, Time  0.324301
2021-09-12 03:51:11.129838 : Epoch  8, Batch    154, Loss  0.843653, Average Loss  0.868724, Time  0.355652
2021-09-12 03:51:20.507914 : Epoch  8, Batch    155, Loss  0.867689, Average Loss  0.868762, Time  0.358200
2021-09-12 03:51:28.507840 : Epoch  8, Batch    156, Loss  0.880373, Average Loss  0.868780, Time  0.277091
2021-09-12 03:51:38.188718 : Epoch  8, Batch    157, Loss  0.867245, Average Loss  0.868753, Time  0.621853
2021-09-12 03:51:43.709036 : Epoch  8, Batch    158, Loss  0.873316, Average Loss  0.868740, Time  0.461080
2021-09-12 03:51:51.795681 : Epoch  8, Batch    159, Loss  0.851783, Average Loss  0.868721, Time  0.368621
2021-09-12 03:51:56.170926 : Epoch  8, Batch    160, Loss  0.890087, Average Loss  0.868795, Time  0.315284
2021-09-12 03:52:04.804001 : Epoch  8, Batch    161, Loss  0.863327, Average Loss  0.868708, Time  0.411924
2021-09-12 03:52:14.356412 : Epoch  8, Batch    162, Loss  0.875500, Average Loss  0.868788, Time  0.465579
2021-09-12 03:52:22.685027 : Epoch  8, Batch    163, Loss  0.852535, Average Loss  0.868796, Time  0.317304
2021-09-12 03:52:26.407888 : Epoch  8, Batch    164, Loss  0.868361, Average Loss  0.868835, Time  0.292391
2021-09-12 03:52:29.056839 : Epoch  8, Batch    165, Loss  0.856225, Average Loss  0.868735, Time  0.271924
2021-09-12 03:52:36.465506 : Epoch  8, Batch    166, Loss  0.879060, Average Loss  0.868815, Time  0.343827
2021-09-12 03:52:42.625482 : Epoch  8, Batch    167, Loss  0.860079, Average Loss  0.868755, Time  0.301736
2021-09-12 03:52:50.502151 : Epoch  8, Batch    168, Loss  0.880290, Average Loss  0.868737, Time  0.414278
2021-09-12 03:53:00.750862 : Epoch  8, Batch    169, Loss  0.896787, Average Loss  0.868861, Time  0.285275
2021-09-12 03:53:09.344913 : Epoch  8, Batch    170, Loss  0.861860, Average Loss  0.868873, Time  0.358425
2021-09-12 03:53:13.860410 : Epoch  8, Batch    171, Loss  0.863802, Average Loss  0.868835, Time  0.348556
2021-09-12 03:53:23.266915 : Epoch  8, Batch    172, Loss  0.870448, Average Loss  0.868944, Time  0.473588
2021-09-12 03:53:31.131806 : Epoch  8, Batch    173, Loss  0.849482, Average Loss  0.868885, Time  0.499737
2021-09-12 03:53:38.386726 : Epoch  8, Batch    174, Loss  0.859047, Average Loss  0.868889, Time  0.414705
2021-09-12 03:53:43.567565 : Epoch  8, Batch    175, Loss  0.881538, Average Loss  0.869034, Time  0.278128
2021-09-12 03:53:53.133727 : Epoch  8, Batch    176, Loss  0.862262, Average Loss  0.869017, Time  0.369808
2021-09-12 03:54:00.900933 : Epoch  8, Batch    177, Loss  0.874890, Average Loss  0.869120, Time  0.377370
2021-09-12 03:54:11.457233 : Epoch  8, Batch    178, Loss  0.888071, Average Loss  0.869198, Time  0.325799
2021-09-12 03:54:18.098707 : Epoch  8, Batch    179, Loss  0.852928, Average Loss  0.869093, Time  0.268644
2021-09-12 03:54:21.228192 : Epoch  8, Batch    180, Loss  0.876925, Average Loss  0.869166, Time  0.276337
2021-09-12 03:54:30.467211 : Epoch  8, Batch    181, Loss  0.871980, Average Loss  0.869218, Time  0.294253
2021-09-12 03:54:38.271754 : Epoch  8, Batch    182, Loss  0.875345, Average Loss  0.869127, Time  0.273619
2021-09-12 03:54:46.567958 : Epoch  8, Batch    183, Loss  0.863757, Average Loss  0.869084, Time  0.376525
2021-09-12 03:54:54.378871 : Epoch  8, Batch    184, Loss  0.850146, Average Loss  0.868931, Time  0.502281
2021-09-12 03:55:01.838977 : Epoch  8, Batch    185, Loss  0.856600, Average Loss  0.868786, Time  0.274013
2021-09-12 03:55:08.857953 : Epoch  8, Batch    186, Loss  0.872501, Average Loss  0.868792, Time  0.297554
2021-09-12 03:55:15.601989 : Epoch  8, Batch    187, Loss  0.854851, Average Loss  0.868787, Time  0.385115
2021-09-12 03:55:25.333980 : Epoch  8, Batch    188, Loss  0.877787, Average Loss  0.868879, Time  0.323099
2021-09-12 03:55:34.066957 : Epoch  8, Batch    189, Loss  0.864506, Average Loss  0.868786, Time  0.329547
2021-09-12 03:55:42.951720 : Epoch  8, Batch    190, Loss  0.842056, Average Loss  0.868759, Time  0.369941
2021-09-12 03:55:51.240788 : Epoch  8, Batch    191, Loss  0.888137, Average Loss  0.868842, Time  0.358115
2021-09-12 03:56:00.158338 : Epoch  8, Batch    192, Loss  0.870042, Average Loss  0.868912, Time  0.319896
2021-09-12 03:56:10.637290 : Epoch  8, Batch    193, Loss  0.844595, Average Loss  0.868702, Time  0.496926
2021-09-12 03:56:17.696885 : Epoch  8, Batch    194, Loss  0.877958, Average Loss  0.868726, Time  0.272335
2021-09-12 03:56:24.580358 : Epoch  8, Batch    195, Loss  0.855368, Average Loss  0.868787, Time  0.272152
2021-09-12 03:56:29.135097 : Epoch  8, Batch    196, Loss  0.856696, Average Loss  0.868756, Time  0.266290
2021-09-12 03:56:36.886172 : Epoch  8, Batch    197, Loss  0.845606, Average Loss  0.868667, Time  0.345511
2021-09-12 03:56:40.918100 : Epoch  8, Batch    198, Loss  0.864521, Average Loss  0.868546, Time  0.281519
2021-09-12 03:56:48.344155 : Epoch  8, Batch    199, Loss  0.905420, Average Loss  0.868760, Time  0.353578
2021-09-12 03:56:55.866878 : Epoch  8, Batch    200, Loss  0.869230, Average Loss  0.868686, Time  0.332056
2021-09-12 03:57:02.356739 : Epoch  8, Batch    201, Loss  0.869529, Average Loss  0.868769, Time  0.442731
2021-09-12 03:57:11.176750 : Epoch  8, Batch    202, Loss  0.861364, Average Loss  0.868736, Time  0.358413
2021-09-12 03:57:19.466322 : Epoch  8, Batch    203, Loss  0.885310, Average Loss  0.868821, Time  0.414129
2021-09-12 03:57:27.399895 : Epoch  8, Batch    204, Loss  0.871624, Average Loss  0.868785, Time  0.330001
2021-09-12 03:57:35.700426 : Epoch  8, Batch    205, Loss  0.845904, Average Loss  0.868560, Time  0.308924
2021-09-12 03:57:43.381927 : Epoch  8, Batch    206, Loss  0.877764, Average Loss  0.868552, Time  0.257584
2021-09-12 03:57:52.432129 : Epoch  8, Batch    207, Loss  0.858633, Average Loss  0.868461, Time  0.318767
2021-09-12 03:57:59.764721 : Epoch  8, Batch    208, Loss  0.874656, Average Loss  0.868578, Time  0.368778
2021-09-12 04:09:47.861081 : CheckPoint: Validation Loss  0.00029745, Best Loss  0.00029019
2021-09-12 04:09:55.705582 : Epoch  8, Batch    209, Loss  0.863481, Average Loss  0.868521, Time  0.387025
2021-09-12 04:10:05.451736 : Epoch  8, Batch    210, Loss  0.869520, Average Loss  0.868425, Time  0.301430
2021-09-12 04:10:12.538826 : Epoch  8, Batch    211, Loss  0.861689, Average Loss  0.868298, Time  0.322543
2021-09-12 04:10:22.225568 : Epoch  8, Batch    212, Loss  0.846860, Average Loss  0.868291, Time  0.360649
2021-09-12 04:10:29.565092 : Epoch  8, Batch    213, Loss  0.863122, Average Loss  0.868109, Time  0.400013
2021-09-12 04:10:35.744241 : Epoch  8, Batch    214, Loss  0.870208, Average Loss  0.868225, Time  0.370459
2021-09-12 04:10:43.034940 : Epoch  8, Batch    215, Loss  0.858436, Average Loss  0.868247, Time  0.386421
2021-09-12 04:10:51.180006 : Epoch  8, Batch    216, Loss  0.874422, Average Loss  0.868308, Time  0.352220
2021-09-12 04:10:58.477073 : Epoch  8, Batch    217, Loss  0.882465, Average Loss  0.868396, Time  0.350775
2021-09-12 04:11:08.320988 : Epoch  8, Batch    218, Loss  0.876782, Average Loss  0.868494, Time  0.322949
2021-09-12 04:11:15.969086 : Epoch  8, Batch    219, Loss  0.861344, Average Loss  0.868555, Time  0.302035
2021-09-12 04:11:25.048012 : Epoch  8, Batch    220, Loss  0.877552, Average Loss  0.868601, Time  0.431864
2021-09-12 04:11:33.048875 : Epoch  8, Batch    221, Loss  0.880527, Average Loss  0.868592, Time  0.278921
2021-09-12 04:11:40.805043 : Epoch  8, Batch    222, Loss  0.877124, Average Loss  0.868645, Time  0.495845
2021-09-12 04:11:50.632755 : Epoch  8, Batch    223, Loss  0.861133, Average Loss  0.868624, Time  0.407204
2021-09-12 04:11:59.095467 : Epoch  8, Batch    224, Loss  0.849236, Average Loss  0.868654, Time  0.310280
2021-09-12 04:12:09.542970 : Epoch  8, Batch    225, Loss  0.854855, Average Loss  0.868419, Time  0.341530
2021-09-12 04:12:16.137771 : Epoch  8, Batch    226, Loss  0.860726, Average Loss  0.868318, Time  0.371334
2021-09-12 04:12:24.453698 : Epoch  8, Batch    227, Loss  0.871373, Average Loss  0.868344, Time  0.339196
2021-09-12 04:12:32.682209 : Epoch  8, Batch    228, Loss  0.865818, Average Loss  0.868247, Time  0.623638
2021-09-12 04:12:42.030250 : Epoch  8, Batch    229, Loss  0.852149, Average Loss  0.868153, Time  0.290155
2021-09-12 04:12:48.542180 : Epoch  8, Batch    230, Loss  0.858513, Average Loss  0.868188, Time  0.433789
2021-09-12 04:12:56.823979 : Epoch  8, Batch    231, Loss  0.875824, Average Loss  0.868170, Time  0.477697
2021-09-12 04:12:59.519896 : Epoch  8, Batch    232, Loss  0.879750, Average Loss  0.868263, Time  0.303773
2021-09-12 04:13:09.338133 : Epoch  8, Batch    233, Loss  0.880532, Average Loss  0.868309, Time  0.511166
2021-09-12 04:13:16.236731 : Epoch  8, Batch    234, Loss  0.881787, Average Loss  0.868320, Time  0.262804
2021-09-12 04:13:20.450781 : Epoch  8, Batch    235, Loss  0.873283, Average Loss  0.868379, Time  0.318341
2021-09-12 04:13:28.616105 : Epoch  8, Batch    236, Loss  0.878656, Average Loss  0.868520, Time  0.382977
2021-09-12 04:13:35.337589 : Epoch  8, Batch    237, Loss  0.872430, Average Loss  0.868529, Time  0.417580
2021-09-12 04:13:42.410723 : Epoch  8, Batch    238, Loss  0.889833, Average Loss  0.868628, Time  0.299202
2021-09-12 04:13:49.313184 : Epoch  8, Batch    239, Loss  0.875470, Average Loss  0.868610, Time  0.349182
2021-09-12 04:13:55.527019 : Epoch  8, Batch    240, Loss  0.892507, Average Loss  0.868748, Time  0.287619
2021-09-12 04:14:00.056771 : Epoch  8, Batch    241, Loss  0.855046, Average Loss  0.868760, Time  0.310050
2021-09-12 04:14:08.131034 : Epoch  8, Batch    242, Loss  0.877783, Average Loss  0.868717, Time  0.468395
2021-09-12 04:14:15.711937 : Epoch  8, Batch    243, Loss  0.857300, Average Loss  0.868511, Time  0.282899
2021-09-12 04:14:24.878669 : Epoch  8, Batch    244, Loss  0.848178, Average Loss  0.868528, Time  0.378585
2021-09-12 04:14:31.728721 : Epoch  8, Batch    245, Loss  0.880305, Average Loss  0.868556, Time  0.370803
2021-09-12 04:14:41.329855 : Epoch  8, Batch    246, Loss  0.853666, Average Loss  0.868571, Time  0.352799
2021-09-12 04:14:49.297629 : Epoch  8, Batch    247, Loss  0.860983, Average Loss  0.868470, Time  0.343558
2021-09-12 04:14:56.928728 : Epoch  8, Batch    248, Loss  0.906341, Average Loss  0.868617, Time  0.370593
2021-09-12 04:15:02.023075 : Epoch  8, Batch    249, Loss  0.869432, Average Loss  0.868657, Time  0.237289
2021-09-12 04:15:08.475720 : Epoch  8, Batch    250, Loss  0.853145, Average Loss  0.868602, Time  0.329429
2021-09-12 04:15:16.713846 : Epoch  8, Batch    251, Loss  0.854511, Average Loss  0.868518, Time  0.514616
2021-09-12 04:15:25.253217 : Epoch  8, Batch    252, Loss  0.865146, Average Loss  0.868387, Time  0.302334
2021-09-12 04:15:29.097209 : Epoch  8, Batch    253, Loss  0.859275, Average Loss  0.868239, Time  0.314849
2021-09-12 04:15:37.544757 : Epoch  8, Batch    254, Loss  0.847987, Average Loss  0.868110, Time  0.378761
2021-09-12 04:15:42.676898 : Epoch  8, Batch    255, Loss  0.869384, Average Loss  0.868103, Time  0.291796
2021-09-12 04:15:48.248715 : Epoch  8, Batch    256, Loss  0.857791, Average Loss  0.867972, Time  0.320957
2021-09-12 04:15:56.174619 : Epoch  8, Batch    257, Loss  0.868641, Average Loss  0.867964, Time  0.407807
2021-09-12 04:16:02.809025 : Epoch  8, Batch    258, Loss  0.870573, Average Loss  0.867979, Time  0.288405
2021-09-12 04:16:11.762722 : Epoch  8, Batch    259, Loss  0.863633, Average Loss  0.867979, Time  0.434091
2021-09-12 04:16:19.409916 : Epoch  8, Batch    260, Loss  0.865346, Average Loss  0.867941, Time  0.284933
2021-09-12 04:16:28.269255 : Epoch  8, Batch    261, Loss  0.872123, Average Loss  0.867951, Time  0.479555
2021-09-12 04:16:33.163035 : Epoch  8, Batch    262, Loss  0.857491, Average Loss  0.867950, Time  0.335871
2021-09-12 04:16:40.639413 : Epoch  8, Batch    263, Loss  0.881781, Average Loss  0.867975, Time  0.511309
2021-09-12 04:16:50.542609 : Epoch  8, Batch    264, Loss  0.865558, Average Loss  0.868017, Time  0.347683
2021-09-12 04:16:57.159699 : Epoch  8, Batch    265, Loss  0.868144, Average Loss  0.868058, Time  0.302151
2021-09-12 04:17:05.062766 : Epoch  8, Batch    266, Loss  0.865727, Average Loss  0.868099, Time  0.427359
2021-09-12 04:17:08.118810 : Epoch  8, Batch    267, Loss  0.882424, Average Loss  0.868205, Time  0.347816
2021-09-12 04:17:10.832610 : Epoch  8, Batch    268, Loss  0.858741, Average Loss  0.868152, Time  0.294930
2021-09-12 04:17:17.190718 : Epoch  8, Batch    269, Loss  0.867315, Average Loss  0.868175, Time  0.446807
2021-09-12 04:17:27.542958 : Epoch  8, Batch    270, Loss  0.881406, Average Loss  0.868208, Time  0.416526
2021-09-12 04:17:35.313208 : Epoch  8, Batch    271, Loss  0.866571, Average Loss  0.868154, Time  0.333594
2021-09-12 04:17:41.919710 : Epoch  8, Batch    272, Loss  0.855918, Average Loss  0.868140, Time  0.395932
2021-09-12 04:17:50.648182 : Epoch  8, Batch    273, Loss  0.851148, Average Loss  0.868024, Time  0.277374
2021-09-12 04:17:58.073678 : Epoch  8, Batch    274, Loss  0.877951, Average Loss  0.868043, Time  0.380320
2021-09-12 04:18:01.701096 : Epoch  8, Batch    275, Loss  0.874168, Average Loss  0.868090, Time  0.308691
2021-09-12 04:18:08.394665 : Epoch  8, Batch    276, Loss  0.868926, Average Loss  0.868107, Time  0.410621
2021-09-12 04:18:12.750129 : Epoch  8, Batch    277, Loss  0.847827, Average Loss  0.868019, Time  0.399392
2021-09-12 04:18:15.299821 : Epoch  8, Batch    278, Loss  0.821526, Average Loss  0.867781, Time  0.236639
2021-09-12 04:18:24.522188 : Epoch  8, Batch    279, Loss  0.857626, Average Loss  0.867649, Time  0.329093
2021-09-12 04:18:32.398085 : Epoch  8, Batch    280, Loss  0.882873, Average Loss  0.867794, Time  0.415703
2021-09-12 04:18:41.945848 : Epoch  8, Batch    281, Loss  0.865123, Average Loss  0.867835, Time  0.324310
2021-09-12 04:18:48.947948 : Epoch  8, Batch    282, Loss  0.882538, Average Loss  0.868013, Time  0.341453
2021-09-12 04:18:55.958242 : Epoch  8, Batch    283, Loss  0.872354, Average Loss  0.868001, Time  0.314335
2021-09-12 04:19:04.078193 : Epoch  8, Batch    284, Loss  0.870496, Average Loss  0.867940, Time  0.410359
2021-09-12 04:19:11.929680 : Epoch  8, Batch    285, Loss  0.864008, Average Loss  0.867820, Time  0.419297
2021-09-12 04:19:20.257041 : Epoch  8, Batch    286, Loss  0.880218, Average Loss  0.867835, Time  0.273318
2021-09-12 04:19:26.382942 : Epoch  8, Batch    287, Loss  0.857876, Average Loss  0.867777, Time  0.275523
2021-09-12 04:19:33.763367 : Epoch  8, Batch    288, Loss  0.897870, Average Loss  0.867851, Time  0.333861
2021-09-12 04:19:43.439745 : Epoch  8, Batch    289, Loss  0.884636, Average Loss  0.868003, Time  0.294345
2021-09-12 04:19:52.612927 : Epoch  8, Batch    290, Loss  0.878377, Average Loss  0.867965, Time  0.436449
2021-09-12 04:20:00.940964 : Epoch  8, Batch    291, Loss  0.833233, Average Loss  0.867772, Time  0.323735
2021-09-12 04:20:08.139945 : Epoch  8, Batch    292, Loss  0.842539, Average Loss  0.867608, Time  0.500854
2021-09-12 04:20:17.882935 : Epoch  8, Batch    293, Loss  0.849230, Average Loss  0.867556, Time  0.263205
2021-09-12 04:20:24.833205 : Epoch  8, Batch    294, Loss  0.876993, Average Loss  0.867625, Time  0.286802
2021-09-12 04:20:33.038538 : Epoch  8, Batch    295, Loss  0.863617, Average Loss  0.867653, Time  0.418042
2021-09-12 04:20:40.165887 : Epoch  8, Batch    296, Loss  0.863986, Average Loss  0.867803, Time  0.292703
2021-09-12 04:20:49.710294 : Epoch  8, Batch    297, Loss  0.883427, Average Loss  0.867927, Time  0.392897
2021-09-12 04:20:59.499721 : Epoch  8, Batch    298, Loss  0.885607, Average Loss  0.867997, Time  0.355949
2021-09-12 04:21:04.663273 : Epoch  8, Batch    299, Loss  0.864969, Average Loss  0.868013, Time  0.467861
2021-09-12 04:21:12.464542 : Epoch  8, Batch    300, Loss  0.879144, Average Loss  0.868254, Time  0.273677
2021-09-12 04:21:20.878214 : Epoch  8, Batch    301, Loss  0.888245, Average Loss  0.868365, Time  0.351625
2021-09-12 04:21:30.185857 : Epoch  8, Batch    302, Loss  0.864945, Average Loss  0.868412, Time  0.459058
2021-09-12 04:21:35.442020 : Epoch  8, Batch    303, Loss  0.883533, Average Loss  0.868504, Time  0.384027
2021-09-12 04:21:43.373000 : Epoch  8, Batch    304, Loss  0.861922, Average Loss  0.868422, Time  0.288453
2021-09-12 04:21:51.341204 : Epoch  8, Batch    305, Loss  0.882128, Average Loss  0.868452, Time  0.305556
2021-09-12 04:21:59.264979 : Epoch  8, Batch    306, Loss  0.887269, Average Loss  0.868646, Time  0.302404
2021-09-12 04:22:06.492165 : Epoch  8, Batch    307, Loss  0.858120, Average Loss  0.868611, Time  0.451464
2021-09-12 04:22:15.057680 : Epoch  8, Batch    308, Loss  0.884986, Average Loss  0.868657, Time  0.403975
2021-09-12 04:34:17.395843 : CheckPoint: Validation Loss  0.00031251, Best Loss  0.00029019
2021-09-12 04:34:22.880311 : Epoch  8, Batch    309, Loss  0.890752, Average Loss  0.868843, Time  0.323868
2021-09-12 04:34:29.078438 : Epoch  8, Batch    310, Loss  0.871358, Average Loss  0.868936, Time  0.290807
2021-09-12 04:34:36.995687 : Epoch  8, Batch    311, Loss  0.870360, Average Loss  0.868939, Time  0.315145
2021-09-12 04:34:43.088049 : Epoch  8, Batch    312, Loss  0.865117, Average Loss  0.868850, Time  0.378098
2021-09-12 04:34:50.434042 : Epoch  8, Batch    313, Loss  0.873738, Average Loss  0.868854, Time  0.344579
2021-09-12 04:34:58.780481 : Epoch  8, Batch    314, Loss  0.887189, Average Loss  0.868893, Time  0.353497
2021-09-12 04:35:06.630068 : Epoch  8, Batch    315, Loss  0.870409, Average Loss  0.868867, Time  0.249026
2021-09-12 04:35:13.372607 : Epoch  8, Batch    316, Loss  0.865192, Average Loss  0.868926, Time  0.294055
2021-09-12 04:35:18.780291 : Epoch  8, Batch    317, Loss  0.871484, Average Loss  0.868956, Time  0.264549
2021-09-12 04:35:25.994888 : Epoch  8, Batch    318, Loss  0.876729, Average Loss  0.868886, Time  0.364987
2021-09-12 04:35:35.660761 : Epoch  8, Batch    319, Loss  0.876682, Average Loss  0.868918, Time  0.419511
2021-09-12 04:35:44.239662 : Epoch  8, Batch    320, Loss  0.857150, Average Loss  0.868850, Time  0.324001
2021-09-12 04:35:54.425004 : Epoch  8, Batch    321, Loss  0.871348, Average Loss  0.868900, Time  0.352026
2021-09-12 04:36:03.325917 : Epoch  8, Batch    322, Loss  0.887884, Average Loss  0.868991, Time  0.343885
2021-09-12 04:36:14.026087 : Epoch  8, Batch    323, Loss  0.876637, Average Loss  0.869017, Time  0.377472
2021-09-12 04:36:21.336788 : Epoch  8, Batch    324, Loss  0.890032, Average Loss  0.869057, Time  0.304221
2021-09-12 04:36:30.792999 : Epoch  8, Batch    325, Loss  0.864772, Average Loss  0.869017, Time  0.448869
2021-09-12 04:36:36.870756 : Epoch  8, Batch    326, Loss  0.880962, Average Loss  0.869213, Time  0.281927
2021-09-12 04:36:41.071023 : Epoch  8, Batch    327, Loss  0.862852, Average Loss  0.869090, Time  0.452417
2021-09-12 04:36:49.964043 : Epoch  8, Batch    328, Loss  0.876665, Average Loss  0.869108, Time  0.429555
2021-09-12 04:36:58.564326 : Epoch  8, Batch    329, Loss  0.894475, Average Loss  0.869188, Time  0.365736
2021-09-12 04:37:05.733948 : Epoch  8, Batch    330, Loss  0.856609, Average Loss  0.869249, Time  0.396880
2021-09-12 04:37:16.153768 : Epoch  8, Batch    331, Loss  0.860185, Average Loss  0.869206, Time  0.307307
2021-09-12 04:37:20.340663 : Epoch  8, Batch    332, Loss  0.882424, Average Loss  0.869287, Time  0.427499
2021-09-12 04:37:28.280851 : Epoch  8, Batch    333, Loss  0.862017, Average Loss  0.869202, Time  0.300211
2021-09-12 04:37:37.116267 : Epoch  8, Batch    334, Loss  0.842151, Average Loss  0.869056, Time  0.314920
2021-09-12 04:37:46.941527 : Epoch  8, Batch    335, Loss  0.877155, Average Loss  0.869028, Time  0.388661
2021-09-12 04:37:55.771079 : Epoch  8, Batch    336, Loss  0.869737, Average Loss  0.868857, Time  0.469293
2021-09-12 04:38:01.895870 : Epoch  8, Batch    337, Loss  0.857171, Average Loss  0.868815, Time  0.454373
2021-09-12 04:38:08.823977 : Epoch  8, Batch    338, Loss  0.853030, Average Loss  0.868710, Time  0.339661
2021-09-12 04:38:16.635258 : Epoch  8, Batch    339, Loss  0.869731, Average Loss  0.868698, Time  0.330863
2021-09-12 04:38:24.487992 : Epoch  8, Batch    340, Loss  0.858802, Average Loss  0.868644, Time  0.401579
2021-09-12 04:38:31.184317 : Epoch  8, Batch    341, Loss  0.845349, Average Loss  0.868571, Time  0.343908
2021-09-12 04:38:38.655714 : Epoch  8, Batch    342, Loss  0.869526, Average Loss  0.868556, Time  0.371904
2021-09-12 04:38:45.017947 : Epoch  8, Batch    343, Loss  0.871703, Average Loss  0.868623, Time  0.325853
2021-09-12 04:38:55.179174 : Epoch  8, Batch    344, Loss  0.870860, Average Loss  0.868488, Time  0.294906
2021-09-12 04:39:03.457699 : Epoch  8, Batch    345, Loss  0.868808, Average Loss  0.868486, Time  0.289417
2021-09-12 04:39:09.391745 : Epoch  8, Batch    346, Loss  0.839390, Average Loss  0.868271, Time  0.254298
2021-09-12 04:39:18.933200 : Epoch  8, Batch    347, Loss  0.856265, Average Loss  0.868167, Time  0.262707
2021-09-12 04:39:27.460769 : Epoch  8, Batch    348, Loss  0.870911, Average Loss  0.868097, Time  0.366275
2021-09-12 04:39:36.208332 : Epoch  8, Batch    349, Loss  0.886994, Average Loss  0.868100, Time  0.400427
2021-09-12 04:39:42.970813 : Epoch  8, Batch    350, Loss  0.857086, Average Loss  0.868045, Time  0.332297
2021-09-12 04:39:51.624692 : Epoch  8, Batch    351, Loss  0.872046, Average Loss  0.868190, Time  0.297304
2021-09-12 04:40:00.923908 : Epoch  8, Batch    352, Loss  0.858705, Average Loss  0.868180, Time  0.236922
2021-09-12 04:40:04.993094 : Epoch  8, Batch    353, Loss  0.886459, Average Loss  0.868294, Time  0.374262
2021-09-12 04:40:14.818653 : Epoch  8, Batch    354, Loss  0.882646, Average Loss  0.868489, Time  0.357302
2021-09-12 04:40:23.301501 : Epoch  8, Batch    355, Loss  0.863237, Average Loss  0.868467, Time  0.455659
2021-09-12 04:40:30.393778 : Epoch  8, Batch    356, Loss  0.871533, Average Loss  0.868423, Time  0.248963
2021-09-12 04:40:34.179377 : Epoch  8, Batch    357, Loss  0.877384, Average Loss  0.868473, Time  0.313763
2021-09-12 04:40:43.614192 : Epoch  8, Batch    358, Loss  0.853650, Average Loss  0.868375, Time  0.245585
2021-09-12 04:40:52.998686 : Epoch  8, Batch    359, Loss  0.859499, Average Loss  0.868414, Time  0.465380
2021-09-12 04:41:01.159119 : Epoch  8, Batch    360, Loss  0.871527, Average Loss  0.868321, Time  0.265013
2021-09-12 04:41:08.601139 : Epoch  8, Batch    361, Loss  0.866656, Average Loss  0.868338, Time  0.321422
2021-09-12 04:41:18.369774 : Epoch  8, Batch    362, Loss  0.889634, Average Loss  0.868408, Time  0.270176
2021-09-12 04:41:28.881319 : Epoch  8, Batch    363, Loss  0.875337, Average Loss  0.868522, Time  0.277683
2021-09-12 04:41:36.968344 : Epoch  8, Batch    364, Loss  0.870490, Average Loss  0.868533, Time  0.395866
2021-09-12 04:41:47.166903 : Epoch  8, Batch    365, Loss  0.880054, Average Loss  0.868652, Time  0.371528
2021-09-12 04:41:55.215266 : Epoch  8, Batch    366, Loss  0.868102, Average Loss  0.868597, Time  0.358026
2021-09-12 04:42:02.846875 : Epoch  8, Batch    367, Loss  0.853405, Average Loss  0.868564, Time  0.345696
2021-09-12 04:42:10.381937 : Epoch  8, Batch    368, Loss  0.861673, Average Loss  0.868471, Time  0.298092
2021-09-12 04:42:17.735533 : Epoch  8, Batch    369, Loss  0.868203, Average Loss  0.868328, Time  0.385512
2021-09-12 04:42:22.570118 : Epoch  8, Batch    370, Loss  0.875138, Average Loss  0.868394, Time  0.323076
2021-09-12 04:42:29.304242 : Epoch  8, Batch    371, Loss  0.880449, Average Loss  0.868477, Time  0.308926
2021-09-12 04:42:36.004894 : Epoch  8, Batch    372, Loss  0.856573, Average Loss  0.868408, Time  0.319675
2021-09-12 04:42:41.968893 : Epoch  8, Batch    373, Loss  0.866474, Average Loss  0.868493, Time  0.378130
2021-09-12 04:42:48.503729 : Epoch  8, Batch    374, Loss  0.871505, Average Loss  0.868555, Time  0.324203
2021-09-12 04:42:57.022732 : Epoch  8, Batch    375, Loss  0.868703, Average Loss  0.868491, Time  0.311332
2021-09-12 04:43:05.884668 : Epoch  8, Batch    376, Loss  0.863588, Average Loss  0.868498, Time  0.433660
2021-09-12 04:43:12.771938 : Epoch  8, Batch    377, Loss  0.883655, Average Loss  0.868542, Time  0.403448
2021-09-12 04:43:22.338684 : Epoch  8, Batch    378, Loss  0.874543, Average Loss  0.868474, Time  0.397345
2021-09-12 04:43:29.798714 : Epoch  8, Batch    379, Loss  0.864540, Average Loss  0.868532, Time  0.250041
2021-09-12 04:43:38.547999 : Epoch  8, Batch    380, Loss  0.884927, Average Loss  0.868572, Time  0.474128
2021-09-12 04:43:47.457728 : Epoch  8, Batch    381, Loss  0.870990, Average Loss  0.868567, Time  0.444790
2021-09-12 04:43:55.799838 : Epoch  8, Batch    382, Loss  0.874605, Average Loss  0.868563, Time  0.370510
2021-09-12 04:44:01.440181 : Epoch  8, Batch    383, Loss  0.868030, Average Loss  0.868585, Time  0.417558
2021-09-12 04:44:07.376414 : Epoch  8, Batch    384, Loss  0.873655, Average Loss  0.868702, Time  0.460280
2021-09-12 04:44:15.083197 : Epoch  8, Batch    385, Loss  0.867505, Average Loss  0.868757, Time  0.385873
2021-09-12 04:44:25.103881 : Epoch  8, Batch    386, Loss  0.879133, Average Loss  0.868790, Time  0.313362
2021-09-12 04:44:34.376329 : Epoch  8, Batch    387, Loss  0.887161, Average Loss  0.868952, Time  0.451975
2021-09-12 04:44:41.610160 : Epoch  8, Batch    388, Loss  0.854682, Average Loss  0.868836, Time  0.458609
2021-09-12 04:44:48.152144 : Epoch  8, Batch    389, Loss  0.870364, Average Loss  0.868865, Time  0.411676
2021-09-12 04:44:55.182140 : Epoch  8, Batch    390, Loss  0.876992, Average Loss  0.869040, Time  0.408074
2021-09-12 04:45:03.658761 : Epoch  8, Batch    391, Loss  0.863886, Average Loss  0.868919, Time  0.288280
2021-09-12 04:45:12.778070 : Epoch  8, Batch    392, Loss  0.881165, Average Loss  0.868974, Time  0.359124
2021-09-12 04:45:19.400077 : Epoch  8, Batch    393, Loss  0.892268, Average Loss  0.869213, Time  0.317597
2021-09-12 04:45:27.144233 : Epoch  8, Batch    394, Loss  0.878609, Average Loss  0.869216, Time  0.279369
2021-09-12 04:45:34.669173 : Epoch  8, Batch    395, Loss  0.862133, Average Loss  0.869250, Time  0.364587
2021-09-12 04:45:43.978636 : Epoch  8, Batch    396, Loss  0.843380, Average Loss  0.869183, Time  0.373001
2021-09-12 04:45:50.765084 : Epoch  8, Batch    397, Loss  0.864843, Average Loss  0.869279, Time  0.273105
2021-09-12 04:45:58.764779 : Epoch  8, Batch    398, Loss  0.868877, Average Loss  0.869301, Time  0.587233
2021-09-12 04:46:07.169508 : Epoch  8, Batch    399, Loss  0.871301, Average Loss  0.869131, Time  0.304252
2021-09-12 04:46:10.508076 : Epoch  8, Batch    400, Loss  0.870915, Average Loss  0.869139, Time  0.237288
2021-09-12 04:46:17.887003 : Epoch  8, Batch    401, Loss  0.860920, Average Loss  0.869096, Time  0.392579
2021-09-12 04:46:21.492211 : Epoch  8, Batch    402, Loss  0.862208, Average Loss  0.869100, Time  0.350944
2021-09-12 04:46:28.386660 : Epoch  8, Batch    403, Loss  0.849111, Average Loss  0.868919, Time  0.403584
2021-09-12 04:46:33.022131 : Epoch  8, Batch    404, Loss  0.868231, Average Loss  0.868902, Time  0.294964
2021-09-12 04:46:41.408402 : Epoch  8, Batch    405, Loss  0.871276, Average Loss  0.869029, Time  0.355221
2021-09-12 04:46:51.251095 : Epoch  8, Batch    406, Loss  0.883185, Average Loss  0.869056, Time  0.412315
2021-09-12 04:46:54.887753 : Epoch  8, Batch    407, Loss  0.865552, Average Loss  0.869091, Time  0.476747
2021-09-12 04:47:01.273144 : Epoch  8, Batch    408, Loss  0.865345, Average Loss  0.869044, Time  0.354228
2021-09-12 04:59:00.340198 : CheckPoint: Validation Loss  0.00030171, Best Loss  0.00029019
2021-09-12 04:59:05.807567 : Epoch  8, Batch    409, Loss  0.866717, Average Loss  0.869060, Time  0.326901
2021-09-12 04:59:13.426406 : Epoch  8, Batch    410, Loss  0.874034, Average Loss  0.869083, Time  0.368603
2021-09-12 04:59:20.775442 : Epoch  8, Batch    411, Loss  0.851988, Average Loss  0.869034, Time  0.342906
2021-09-12 04:59:25.457044 : Epoch  8, Batch    412, Loss  0.856158, Average Loss  0.869081, Time  0.334303
2021-09-12 04:59:35.087102 : Epoch  8, Batch    413, Loss  0.899309, Average Loss  0.869262, Time  0.423159
2021-09-12 04:59:43.625000 : Epoch  8, Batch    414, Loss  0.853354, Average Loss  0.869178, Time  0.353872
2021-09-12 04:59:51.012687 : Epoch  8, Batch    415, Loss  0.850846, Average Loss  0.869140, Time  0.385673
2021-09-12 04:59:59.201871 : Epoch  8, Batch    416, Loss  0.856899, Average Loss  0.869052, Time  0.372307
2021-09-12 05:00:08.666278 : Epoch  8, Batch    417, Loss  0.861988, Average Loss  0.868950, Time  0.361382
2021-09-12 05:00:16.046685 : Epoch  8, Batch    418, Loss  0.859613, Average Loss  0.868864, Time  0.429122
2021-09-12 05:00:22.450053 : Epoch  8, Batch    419, Loss  0.856659, Average Loss  0.868840, Time  0.447191
2021-09-12 05:00:31.616755 : Epoch  8, Batch    420, Loss  0.861775, Average Loss  0.868762, Time  0.298527
2021-09-12 05:00:40.665461 : Epoch  8, Batch    421, Loss  0.866109, Average Loss  0.868689, Time  0.402369
2021-09-12 05:00:49.156352 : Epoch  8, Batch    422, Loss  0.868934, Average Loss  0.868649, Time  0.237216
2021-09-12 05:00:58.577756 : Epoch  8, Batch    423, Loss  0.878436, Average Loss  0.868735, Time  0.426392
2021-09-12 05:01:07.616952 : Epoch  8, Batch    424, Loss  0.866063, Average Loss  0.868819, Time  0.403242
2021-09-12 05:01:13.503779 : Epoch  8, Batch    425, Loss  0.862116, Average Loss  0.868855, Time  0.307882
2021-09-12 05:01:22.001032 : Epoch  8, Batch    426, Loss  0.875314, Average Loss  0.868928, Time  0.319721
2021-09-12 05:01:31.563187 : Epoch  8, Batch    427, Loss  0.869205, Average Loss  0.868918, Time  0.506469
2021-09-12 05:01:41.695935 : Epoch  8, Batch    428, Loss  0.872091, Average Loss  0.868949, Time  0.420183
2021-09-12 05:01:44.780962 : Epoch  8, Batch    429, Loss  0.869916, Average Loss  0.869038, Time  0.345568
2021-09-12 05:01:55.193881 : Epoch  8, Batch    430, Loss  0.885915, Average Loss  0.869175, Time  0.309476
2021-09-12 05:02:05.414574 : Epoch  8, Batch    431, Loss  0.863504, Average Loss  0.869113, Time  0.404560
2021-09-12 05:02:12.868947 : Epoch  8, Batch    432, Loss  0.873860, Average Loss  0.869084, Time  0.446936
2021-09-12 05:02:22.236764 : Epoch  8, Batch    433, Loss  0.863628, Average Loss  0.868999, Time  0.486172
2021-09-12 05:02:24.884173 : Epoch  8, Batch    434, Loss  0.881361, Average Loss  0.868997, Time  0.254846
2021-09-12 05:02:34.038992 : Epoch  8, Batch    435, Loss  0.849823, Average Loss  0.868880, Time  0.287164
2021-09-12 05:02:43.398776 : Epoch  8, Batch    436, Loss  0.852820, Average Loss  0.868751, Time  0.439166
2021-09-12 05:02:49.945415 : Epoch  8, Batch    437, Loss  0.873291, Average Loss  0.868755, Time  0.449560
2021-09-12 05:02:57.596736 : Epoch  8, Batch    438, Loss  0.877440, Average Loss  0.868693, Time  0.346570
2021-09-12 05:03:05.669015 : Epoch  8, Batch    439, Loss  0.871502, Average Loss  0.868673, Time  0.417915
2021-09-12 05:03:13.839167 : Epoch  8, Batch    440, Loss  0.866741, Average Loss  0.868544, Time  0.331851
2021-09-12 05:03:21.554992 : Epoch  8, Batch    441, Loss  0.891464, Average Loss  0.868726, Time  0.300838
2021-09-12 05:03:30.076185 : Epoch  8, Batch    442, Loss  0.864309, Average Loss  0.868659, Time  0.344131
2021-09-12 05:03:38.208213 : Epoch  8, Batch    443, Loss  0.862647, Average Loss  0.868686, Time  0.298016
2021-09-12 05:03:42.345974 : Epoch  8, Batch    444, Loss  0.846191, Average Loss  0.868676, Time  0.316781
2021-09-12 05:03:46.097548 : Epoch  8, Batch    445, Loss  0.863208, Average Loss  0.868590, Time  0.332025
2021-09-12 05:03:54.073539 : Epoch  8, Batch    446, Loss  0.865285, Average Loss  0.868648, Time  0.288325
2021-09-12 05:04:01.368747 : Epoch  8, Batch    447, Loss  0.878827, Average Loss  0.868738, Time  0.315437
2021-09-12 05:04:10.571737 : Epoch  8, Batch    448, Loss  0.870296, Average Loss  0.868557, Time  0.307455
2021-09-12 05:04:21.359675 : Epoch  8, Batch    449, Loss  0.858177, Average Loss  0.868501, Time  0.377895
2021-09-12 05:04:29.552006 : Epoch  8, Batch    450, Loss  0.874484, Average Loss  0.868608, Time  0.377224
2021-09-12 05:04:37.602956 : Epoch  8, Batch    451, Loss  0.868005, Average Loss  0.868675, Time  0.321885
2021-09-12 05:04:48.283241 : Epoch  8, Batch    452, Loss  0.856934, Average Loss  0.868634, Time  0.372836
2021-09-12 05:04:56.051672 : Epoch  8, Batch    453, Loss  0.872780, Average Loss  0.868702, Time  0.404469
2021-09-12 05:05:02.607867 : Epoch  8, Batch    454, Loss  0.872904, Average Loss  0.868826, Time  0.272642
2021-09-12 05:05:07.732731 : Epoch  8, Batch    455, Loss  0.886591, Average Loss  0.868912, Time  0.343557
2021-09-12 05:05:14.962307 : Epoch  8, Batch    456, Loss  0.873467, Average Loss  0.868991, Time  0.290158
2021-09-12 05:05:22.515741 : Epoch  8, Batch    457, Loss  0.879064, Average Loss  0.869043, Time  0.410762
2021-09-12 05:05:27.639705 : Epoch  8, Batch    458, Loss  0.862239, Average Loss  0.869001, Time  0.453563
2021-09-12 05:05:31.016240 : Epoch  8, Batch    459, Loss  0.861565, Average Loss  0.868991, Time  0.275527
2021-09-12 05:05:38.098795 : Epoch  8, Batch    460, Loss  0.864481, Average Loss  0.868987, Time  0.329664
2021-09-12 05:05:47.308722 : Epoch  8, Batch    461, Loss  0.892035, Average Loss  0.869086, Time  0.447851
2021-09-12 05:05:57.145689 : Epoch  8, Batch    462, Loss  0.854649, Average Loss  0.869072, Time  0.265551
2021-09-12 05:06:07.689107 : Epoch  8, Batch    463, Loss  0.863646, Average Loss  0.868981, Time  0.302759
2021-09-12 05:06:12.847593 : Epoch  8, Batch    464, Loss  0.883002, Average Loss  0.869068, Time  0.314811
2021-09-12 05:06:20.391256 : Epoch  8, Batch    465, Loss  0.865479, Average Loss  0.869055, Time  0.315558
2021-09-12 05:06:28.853685 : Epoch  8, Batch    466, Loss  0.874952, Average Loss  0.869101, Time  0.329435
2021-09-12 05:06:38.448852 : Epoch  8, Batch    467, Loss  0.859950, Average Loss  0.868989, Time  0.316439
2021-09-12 05:06:47.187152 : Epoch  8, Batch    468, Loss  0.865403, Average Loss  0.869022, Time  0.246672
2021-09-12 05:06:54.411932 : Epoch  8, Batch    469, Loss  0.834901, Average Loss  0.868860, Time  0.344174
2021-09-12 05:07:04.182447 : Epoch  8, Batch    470, Loss  0.858815, Average Loss  0.868747, Time  0.338805
2021-09-12 05:07:10.627562 : Epoch  8, Batch    471, Loss  0.852288, Average Loss  0.868676, Time  0.391491
2021-09-12 05:07:17.603032 : Epoch  8, Batch    472, Loss  0.876455, Average Loss  0.868778, Time  0.307946
2021-09-12 05:07:24.477275 : Epoch  8, Batch    473, Loss  0.861135, Average Loss  0.868828, Time  0.258407
2021-09-12 05:07:33.164680 : Epoch  8, Batch    474, Loss  0.882481, Average Loss  0.868851, Time  0.308254
2021-09-12 05:07:37.921333 : Epoch  8, Batch    475, Loss  0.848678, Average Loss  0.868724, Time  0.414045
2021-09-12 05:07:47.755890 : Epoch  8, Batch    476, Loss  0.874843, Average Loss  0.868753, Time  0.276616
2021-09-12 05:07:54.564813 : Epoch  8, Batch    477, Loss  0.875600, Average Loss  0.868892, Time  0.300911
2021-09-12 05:08:01.704679 : Epoch  8, Batch    478, Loss  0.875071, Average Loss  0.869160, Time  0.310875
2021-09-12 05:08:06.454182 : Epoch  8, Batch    479, Loss  0.861625, Average Loss  0.869180, Time  0.282293
2021-09-12 05:08:14.023245 : Epoch  8, Batch    480, Loss  0.879113, Average Loss  0.869161, Time  0.470587
2021-09-12 05:08:22.250775 : Epoch  8, Batch    481, Loss  0.884097, Average Loss  0.869256, Time  0.347755
2021-09-12 05:08:28.731119 : Epoch  8, Batch    482, Loss  0.869302, Average Loss  0.869190, Time  0.295443
2021-09-12 05:08:36.504652 : Epoch  8, Batch    483, Loss  0.859500, Average Loss  0.869125, Time  0.384473
2021-09-12 05:08:46.757735 : Epoch  8, Batch    484, Loss  0.885600, Average Loss  0.869201, Time  0.357682
2021-09-12 05:08:55.052870 : Epoch  8, Batch    485, Loss  0.872987, Average Loss  0.869246, Time  0.351809
2021-09-12 05:09:03.117465 : Epoch  8, Batch    486, Loss  0.870539, Average Loss  0.869197, Time  0.282235
2021-09-12 05:09:10.039762 : Epoch  8, Batch    487, Loss  0.864347, Average Loss  0.869230, Time  0.329595
2021-09-12 05:09:18.839718 : Epoch  8, Batch    488, Loss  0.880099, Average Loss  0.869141, Time  0.353651
2021-09-12 05:09:28.129942 : Epoch  8, Batch    489, Loss  0.862421, Average Loss  0.869030, Time  0.351903
2021-09-12 05:09:35.709087 : Epoch  8, Batch    490, Loss  0.867721, Average Loss  0.868977, Time  0.397912
2021-09-12 05:09:42.247595 : Epoch  8, Batch    491, Loss  0.878026, Average Loss  0.869200, Time  0.437216
2021-09-12 05:09:51.775817 : Epoch  8, Batch    492, Loss  0.882175, Average Loss  0.869399, Time  0.347445
2021-09-12 05:10:00.680681 : Epoch  8, Batch    493, Loss  0.882110, Average Loss  0.869563, Time  0.363580
2021-09-12 05:10:08.547987 : Epoch  8, Batch    494, Loss  0.877919, Average Loss  0.869568, Time  0.331632
2021-09-12 05:10:16.494836 : Epoch  8, Batch    495, Loss  0.864361, Average Loss  0.869571, Time  0.447171
2021-09-12 05:10:21.645701 : Epoch  8, Batch    496, Loss  0.857543, Average Loss  0.869539, Time  0.358526
2021-09-12 05:10:27.710782 : Epoch  8, Batch    497, Loss  0.875460, Average Loss  0.869499, Time  0.404206
2021-09-12 05:10:37.198998 : Epoch  8, Batch    498, Loss  0.877786, Average Loss  0.869460, Time  0.422045
2021-09-12 05:10:45.128967 : Epoch  8, Batch    499, Loss  0.890274, Average Loss  0.869587, Time  0.366042
2021-09-12 05:10:51.061661 : Epoch  8, Batch    500, Loss  0.865503, Average Loss  0.869519, Time  0.283807
2021-09-12 05:10:54.645308 : Epoch  8, Batch    501, Loss  0.892097, Average Loss  0.869538, Time  0.294451
2021-09-12 05:11:03.613158 : Epoch  8, Batch    502, Loss  0.852562, Average Loss  0.869476, Time  0.259894
2021-09-12 05:11:10.888706 : Epoch  8, Batch    503, Loss  0.846762, Average Loss  0.869292, Time  0.425032
2021-09-12 05:11:16.592700 : Epoch  8, Batch    504, Loss  0.870068, Average Loss  0.869333, Time  0.281892
2021-09-12 05:11:22.366650 : Epoch  8, Batch    505, Loss  0.862801, Average Loss  0.869236, Time  0.330036
2021-09-12 05:11:31.887607 : Epoch  8, Batch    506, Loss  0.896150, Average Loss  0.869281, Time  0.264423
2021-09-12 05:11:38.803911 : Epoch  8, Batch    507, Loss  0.854432, Average Loss  0.869262, Time  0.236334
2021-09-12 05:11:45.092830 : Epoch  8, Batch    508, Loss  0.858444, Average Loss  0.869129, Time  0.237235
2021-09-12 05:23:26.088941 : CheckPoint: Validation Loss  0.00030792, Best Loss  0.00029019
2021-09-12 05:23:32.939743 : Epoch  8, Batch    509, Loss  0.858729, Average Loss  0.868969, Time  0.333151
2021-09-12 05:23:42.318147 : Epoch  8, Batch    510, Loss  0.881615, Average Loss  0.869021, Time  0.446406
2021-09-12 05:23:50.326795 : Epoch  8, Batch    511, Loss  0.882877, Average Loss  0.869083, Time  0.303161
2021-09-12 05:23:58.170458 : Epoch  8, Batch    512, Loss  0.871948, Average Loss  0.869117, Time  0.249182
2021-09-12 05:24:07.400730 : Epoch  8, Batch    513, Loss  0.867002, Average Loss  0.869084, Time  0.300614
2021-09-12 05:24:16.374671 : Epoch  8, Batch    514, Loss  0.863568, Average Loss  0.868966, Time  0.362285
2021-09-12 05:24:26.333056 : Epoch  8, Batch    515, Loss  0.879785, Average Loss  0.869012, Time  0.414813
2021-09-12 05:24:33.655862 : Epoch  8, Batch    516, Loss  0.877717, Average Loss  0.869075, Time  0.356072
2021-09-12 05:24:41.554878 : Epoch  8, Batch    517, Loss  0.863546, Average Loss  0.869035, Time  0.469180
2021-09-12 05:24:50.297098 : Epoch  8, Batch    518, Loss  0.863908, Average Loss  0.868971, Time  0.274394
2021-09-12 05:24:58.860137 : Epoch  8, Batch    519, Loss  0.861110, Average Loss  0.868893, Time  0.287575
2021-09-12 05:25:09.750202 : Epoch  8, Batch    520, Loss  0.870822, Average Loss  0.868962, Time  0.355911
2021-09-12 05:25:18.722809 : Epoch  8, Batch    521, Loss  0.888343, Average Loss  0.869047, Time  0.393900
2021-09-12 05:25:24.391964 : Epoch  8, Batch    522, Loss  0.851132, Average Loss  0.868863, Time  0.259216
2021-09-12 05:25:31.076153 : Epoch  8, Batch    523, Loss  0.864753, Average Loss  0.868804, Time  0.330253
2021-09-12 05:25:40.793900 : Epoch  8, Batch    524, Loss  0.891303, Average Loss  0.868810, Time  0.334972
2021-09-12 05:25:43.870472 : Epoch  8, Batch    525, Loss  0.855083, Average Loss  0.868761, Time  0.236711
2021-09-12 05:25:52.395178 : Epoch  8, Batch    526, Loss  0.838115, Average Loss  0.868547, Time  0.280184
2021-09-12 05:25:59.482742 : Epoch  8, Batch    527, Loss  0.858473, Average Loss  0.868525, Time  0.302873
2021-09-12 05:26:09.218956 : Epoch  8, Batch    528, Loss  0.882620, Average Loss  0.868555, Time  0.477685
2021-09-12 05:26:18.199307 : Epoch  8, Batch    529, Loss  0.876188, Average Loss  0.868464, Time  0.320847
2021-09-12 05:26:24.431008 : Epoch  8, Batch    530, Loss  0.871953, Average Loss  0.868540, Time  0.400072
2021-09-12 05:26:31.941911 : Epoch  8, Batch    531, Loss  0.860768, Average Loss  0.868543, Time  0.253213
2021-09-12 05:26:39.675019 : Epoch  8, Batch    532, Loss  0.868429, Average Loss  0.868473, Time  0.404818
2021-09-12 05:26:48.564620 : Epoch  8, Batch    533, Loss  0.866007, Average Loss  0.868493, Time  0.424332
2021-09-12 05:26:53.493965 : Epoch  8, Batch    534, Loss  0.877648, Average Loss  0.868671, Time  0.530906
2021-09-12 05:26:59.954702 : Epoch  8, Batch    535, Loss  0.857368, Average Loss  0.868572, Time  0.464113
2021-09-12 05:27:07.575875 : Epoch  8, Batch    536, Loss  0.845509, Average Loss  0.868451, Time  0.416660
2021-09-12 05:27:11.778073 : Epoch  8, Batch    537, Loss  0.866360, Average Loss  0.868497, Time  0.446252
2021-09-12 05:27:18.705875 : Epoch  8, Batch    538, Loss  0.872024, Average Loss  0.868592, Time  0.289006
2021-09-12 05:27:26.438025 : Epoch  8, Batch    539, Loss  0.858255, Average Loss  0.868534, Time  0.272614
2021-09-12 05:27:34.725736 : Epoch  8, Batch    540, Loss  0.865909, Average Loss  0.868570, Time  0.434870
2021-09-12 05:27:39.476055 : Epoch  8, Batch    541, Loss  0.873571, Average Loss  0.868711, Time  0.393133
2021-09-12 05:27:46.870886 : Epoch  8, Batch    542, Loss  0.884618, Average Loss  0.868786, Time  0.327266
2021-09-12 05:27:55.535187 : Epoch  8, Batch    543, Loss  0.870081, Average Loss  0.868778, Time  0.250389
2021-09-12 05:27:58.878049 : Epoch  8, Batch    544, Loss  0.888731, Average Loss  0.868868, Time  0.284721
2021-09-12 05:28:05.210233 : Epoch  8, Batch    545, Loss  0.874093, Average Loss  0.868894, Time  0.366523
2021-09-12 05:28:09.387955 : Epoch  8, Batch    546, Loss  0.876030, Average Loss  0.869077, Time  0.333169
2021-09-12 05:28:18.617871 : Epoch  8, Batch    547, Loss  0.884557, Average Loss  0.869219, Time  0.498961
2021-09-12 05:28:24.603109 : Epoch  8, Batch    548, Loss  0.875222, Average Loss  0.869240, Time  0.337958
2021-09-12 05:28:31.091000 : Epoch  8, Batch    549, Loss  0.858260, Average Loss  0.869097, Time  0.314542
2021-09-12 05:28:40.432082 : Epoch  8, Batch    550, Loss  0.870632, Average Loss  0.869164, Time  0.355294
2021-09-12 05:28:49.697196 : Epoch  8, Batch    551, Loss  0.864967, Average Loss  0.869129, Time  0.338062
2021-09-12 05:28:59.485201 : Epoch  8, Batch    552, Loss  0.880558, Average Loss  0.869238, Time  0.639021
2021-09-12 05:29:06.463729 : Epoch  8, Batch    553, Loss  0.858668, Average Loss  0.869099, Time  0.392330
2021-09-12 05:29:17.057717 : Epoch  8, Batch    554, Loss  0.856846, Average Loss  0.868970, Time  0.401923
2021-09-12 05:29:26.218015 : Epoch  8, Batch    555, Loss  0.844204, Average Loss  0.868875, Time  0.393130
2021-09-12 05:29:34.577049 : Epoch  8, Batch    556, Loss  0.840060, Average Loss  0.868718, Time  0.339368
2021-09-12 05:29:42.634942 : Epoch  8, Batch    557, Loss  0.844237, Average Loss  0.868552, Time  0.412042
2021-09-12 05:29:49.457772 : Epoch  8, Batch    558, Loss  0.876260, Average Loss  0.868665, Time  0.392351
2021-09-12 05:29:56.151879 : Epoch  8, Batch    559, Loss  0.868346, Average Loss  0.868709, Time  0.366849
2021-09-12 05:30:04.071129 : Epoch  8, Batch    560, Loss  0.863843, Average Loss  0.868671, Time  0.314102
2021-09-12 05:30:06.717597 : Epoch  8, Batch    561, Loss  0.878050, Average Loss  0.868728, Time  0.237077
2021-09-12 05:30:16.357694 : Epoch  8, Batch    562, Loss  0.849589, Average Loss  0.868528, Time  0.309586
2021-09-12 05:30:24.451789 : Epoch  8, Batch    563, Loss  0.854403, Average Loss  0.868423, Time  0.374124
2021-09-12 05:30:33.674662 : Epoch  8, Batch    564, Loss  0.871452, Average Loss  0.868428, Time  0.284269
2021-09-12 05:30:41.300269 : Epoch  8, Batch    565, Loss  0.853537, Average Loss  0.868295, Time  0.357816
2021-09-12 05:30:43.908609 : Epoch  8, Batch    566, Loss  0.853539, Average Loss  0.868222, Time  0.236429
2021-09-12 05:30:49.308130 : Epoch  8, Batch    567, Loss  0.853981, Average Loss  0.868225, Time  0.688431
2021-09-12 05:30:55.503740 : Epoch  8, Batch    568, Loss  0.871569, Average Loss  0.868275, Time  0.237397
2021-09-12 05:31:04.402916 : Epoch  8, Batch    569, Loss  0.870621, Average Loss  0.868287, Time  0.361182
2021-09-12 05:31:12.718715 : Epoch  8, Batch    570, Loss  0.881677, Average Loss  0.868319, Time  0.377069
2021-09-12 05:31:21.409032 : Epoch  8, Batch    571, Loss  0.871507, Average Loss  0.868275, Time  0.438652
2021-09-12 05:31:29.024212 : Epoch  8, Batch    572, Loss  0.858502, Average Loss  0.868284, Time  0.289519
2021-09-12 05:31:40.474102 : Epoch  8, Batch    573, Loss  0.854747, Average Loss  0.868226, Time  0.336709
2021-09-12 05:31:47.162970 : Epoch  8, Batch    574, Loss  0.890358, Average Loss  0.868320, Time  0.286689
2021-09-12 05:31:55.723793 : Epoch  8, Batch    575, Loss  0.882435, Average Loss  0.868389, Time  0.415847
2021-09-12 05:32:01.504108 : Epoch  8, Batch    576, Loss  0.864285, Average Loss  0.868392, Time  0.368831
2021-09-12 05:32:08.039726 : Epoch  8, Batch    577, Loss  0.878648, Average Loss  0.868367, Time  0.298136
2021-09-12 05:32:17.804913 : Epoch  8, Batch    578, Loss  0.859898, Average Loss  0.868294, Time  0.373819
2021-09-12 05:32:28.002685 : Epoch  8, Batch    579, Loss  0.876614, Average Loss  0.868354, Time  0.338829
2021-09-12 05:32:35.957997 : Epoch  8, Batch    580, Loss  0.878264, Average Loss  0.868321, Time  0.355089
2021-09-12 05:32:45.819661 : Epoch  8, Batch    581, Loss  0.881711, Average Loss  0.868375, Time  0.395063
2021-09-12 05:32:54.600078 : Epoch  8, Batch    582, Loss  0.869418, Average Loss  0.868349, Time  0.380033
2021-09-12 05:33:02.432763 : Epoch  8, Batch    583, Loss  0.823403, Average Loss  0.868125, Time  0.361818
2021-09-12 05:33:11.764808 : Epoch  8, Batch    584, Loss  0.853210, Average Loss  0.868023, Time  0.395181
2021-09-12 05:33:20.831752 : Epoch  8, Batch    585, Loss  0.886676, Average Loss  0.868119, Time  0.320764
2021-09-12 05:33:31.549411 : Epoch  8, Batch    586, Loss  0.873702, Average Loss  0.868092, Time  0.393583
2021-09-12 05:33:40.125165 : Epoch  8, Batch    587, Loss  0.872717, Average Loss  0.868020, Time  0.380156
2021-09-12 05:33:49.760291 : Epoch  8, Batch    588, Loss  0.853766, Average Loss  0.868015, Time  0.486286
2021-09-12 05:33:58.003797 : Epoch  8, Batch    589, Loss  0.863548, Average Loss  0.867981, Time  0.261627
2021-09-12 05:34:05.750146 : Epoch  8, Batch    590, Loss  0.883404, Average Loss  0.868013, Time  0.265044
2021-09-12 05:34:14.181660 : Epoch  8, Batch    591, Loss  0.883141, Average Loss  0.868109, Time  0.484832
2021-09-12 05:34:23.079742 : Epoch  8, Batch    592, Loss  0.862753, Average Loss  0.868017, Time  0.402329
2021-09-12 05:34:33.218572 : Epoch  8, Batch    593, Loss  0.874600, Average Loss  0.867929, Time  0.340164
2021-09-12 05:34:40.655763 : Epoch  8, Batch    594, Loss  0.846205, Average Loss  0.867767, Time  0.320331
2021-09-12 05:34:46.534328 : Epoch  8, Batch    595, Loss  0.866101, Average Loss  0.867787, Time  0.406214
2021-09-12 05:34:54.089512 : Epoch  8, Batch    596, Loss  0.880211, Average Loss  0.867971, Time  0.491278
2021-09-12 05:35:02.633722 : Epoch  8, Batch    597, Loss  0.843383, Average Loss  0.867864, Time  0.437714
2021-09-12 05:35:11.006758 : Epoch  8, Batch    598, Loss  0.842743, Average Loss  0.867733, Time  0.335373
2021-09-12 05:35:14.254760 : Epoch  8, Batch    599, Loss  0.877528, Average Loss  0.867764, Time  0.296937
2021-09-12 05:35:22.493114 : Epoch  8, Batch    600, Loss  0.888008, Average Loss  0.867850, Time  0.448991
2021-09-12 05:35:29.846974 : Epoch  8, Batch    601, Loss  0.856586, Average Loss  0.867828, Time  0.279556
2021-09-12 05:35:38.410705 : Epoch  8, Batch    602, Loss  0.857111, Average Loss  0.867802, Time  0.389314
2021-09-12 05:35:47.871014 : Epoch  8, Batch    603, Loss  0.853563, Average Loss  0.867825, Time  0.539429
2021-09-12 05:35:56.112896 : Epoch  8, Batch    604, Loss  0.864450, Average Loss  0.867806, Time  0.414280
2021-09-12 05:36:03.524007 : Epoch  8, Batch    605, Loss  0.874721, Average Loss  0.867823, Time  0.475382
2021-09-12 05:36:12.779892 : Epoch  8, Batch    606, Loss  0.877710, Average Loss  0.867796, Time  0.300256
2021-09-12 05:36:20.370395 : Epoch  8, Batch    607, Loss  0.842413, Average Loss  0.867680, Time  0.288441
2021-09-12 05:36:27.334239 : Epoch  8, Batch    608, Loss  0.880365, Average Loss  0.867755, Time  0.435050
2021-09-12 05:48:36.504833 : CheckPoint: Validation Loss  0.00030618, Best Loss  0.00029019
2021-09-12 05:48:43.636256 : Epoch  8, Batch    609, Loss  0.884020, Average Loss  0.867842, Time  0.304722
2021-09-12 05:48:49.270683 : Epoch  8, Batch    610, Loss  0.866928, Average Loss  0.867806, Time  0.369163
2021-09-12 05:48:58.945622 : Epoch  8, Batch    611, Loss  0.866322, Average Loss  0.867878, Time  0.569978
2021-09-12 05:49:04.468552 : Epoch  8, Batch    612, Loss  0.869594, Average Loss  0.867945, Time  0.249059
2021-09-12 05:49:09.343700 : Epoch  8, Batch    613, Loss  0.851527, Average Loss  0.867706, Time  0.280355
2021-09-12 05:49:16.839885 : Epoch  8, Batch    614, Loss  0.872015, Average Loss  0.867799, Time  0.420601
2021-09-12 05:49:25.458425 : Epoch  8, Batch    615, Loss  0.852469, Average Loss  0.867807, Time  0.251292
2021-09-12 05:49:32.228050 : Epoch  8, Batch    616, Loss  0.865345, Average Loss  0.867850, Time  0.379859
2021-09-12 05:49:40.873117 : Epoch  8, Batch    617, Loss  0.877558, Average Loss  0.867927, Time  0.369247
2021-09-12 05:49:49.470635 : Epoch  8, Batch    618, Loss  0.869918, Average Loss  0.867979, Time  0.319549
2021-09-12 05:49:56.586719 : Epoch  8, Batch    619, Loss  0.871069, Average Loss  0.868051, Time  0.311322
2021-09-12 05:50:04.313686 : Epoch  8, Batch    620, Loss  0.838048, Average Loss  0.867932, Time  0.394027
2021-09-12 05:50:12.936771 : Epoch  8, Batch    621, Loss  0.859075, Average Loss  0.867897, Time  0.269768
2021-09-12 05:50:19.367770 : Epoch  8, Batch    622, Loss  0.874169, Average Loss  0.867923, Time  0.301694
2021-09-12 05:50:24.287984 : Epoch  8, Batch    623, Loss  0.851484, Average Loss  0.867789, Time  0.285935
2021-09-12 05:50:32.240313 : Epoch  8, Batch    624, Loss  0.863137, Average Loss  0.867774, Time  0.329817
2021-09-12 05:50:34.862206 : Epoch  8, Batch    625, Loss  0.860765, Average Loss  0.867767, Time  0.298168
2021-09-12 05:50:44.136896 : Epoch  8, Batch    626, Loss  0.886570, Average Loss  0.867824, Time  0.337698
2021-09-12 05:50:52.483765 : Epoch  8, Batch    627, Loss  0.858904, Average Loss  0.867772, Time  0.274024
2021-09-12 05:50:58.557303 : Epoch  8, Batch    628, Loss  0.888430, Average Loss  0.867854, Time  0.361321
2021-09-12 05:51:07.510152 : Epoch  8, Batch    629, Loss  0.858680, Average Loss  0.867798, Time  0.314448
2021-09-12 05:51:14.683058 : Epoch  8, Batch    630, Loss  0.850031, Average Loss  0.867618, Time  0.521621
2021-09-12 05:51:22.009047 : Epoch  8, Batch    631, Loss  0.844724, Average Loss  0.867524, Time  0.501704
2021-09-12 05:51:31.394751 : Epoch  8, Batch    632, Loss  0.861310, Average Loss  0.867462, Time  0.503256
2021-09-12 05:51:38.755965 : Epoch  8, Batch    633, Loss  0.868748, Average Loss  0.867487, Time  0.387387
2021-09-12 05:51:47.451939 : Epoch  8, Batch    634, Loss  0.856178, Average Loss  0.867361, Time  0.466663
2021-09-12 05:51:53.978435 : Epoch  8, Batch    635, Loss  0.879119, Average Loss  0.867508, Time  0.361177
2021-09-12 05:51:58.778122 : Epoch  8, Batch    636, Loss  0.863261, Average Loss  0.867560, Time  0.408957
2021-09-12 05:52:06.737359 : Epoch  8, Batch    637, Loss  0.854644, Average Loss  0.867467, Time  0.323364
2021-09-12 05:52:14.206406 : Epoch  8, Batch    638, Loss  0.876509, Average Loss  0.867462, Time  0.364816
2021-09-12 05:52:23.077992 : Epoch  8, Batch    639, Loss  0.866449, Average Loss  0.867437, Time  0.250248
2021-09-12 05:52:30.096813 : Epoch  8, Batch    640, Loss  0.841129, Average Loss  0.867309, Time  0.380171
2021-09-12 05:52:33.776841 : Epoch  8, Batch    641, Loss  0.876966, Average Loss  0.867236, Time  0.293377
2021-09-12 05:52:38.785752 : Epoch  8, Batch    642, Loss  0.845177, Average Loss  0.867141, Time  0.237178
2021-09-12 05:52:44.854314 : Epoch  8, Batch    643, Loss  0.853053, Average Loss  0.867093, Time  0.376982
2021-09-12 05:52:53.742367 : Epoch  8, Batch    644, Loss  0.874251, Average Loss  0.867233, Time  0.437907
2021-09-12 05:53:02.018093 : Epoch  8, Batch    645, Loss  0.852981, Average Loss  0.867182, Time  0.323857
2021-09-12 05:53:09.000742 : Epoch  8, Batch    646, Loss  0.858713, Average Loss  0.867149, Time  0.382629
2021-09-12 05:53:18.853172 : Epoch  8, Batch    647, Loss  0.864709, Average Loss  0.867078, Time  0.274476
2021-09-12 05:53:26.484628 : Epoch  8, Batch    648, Loss  0.882320, Average Loss  0.867138, Time  0.470022
2021-09-12 05:53:33.355856 : Epoch  8, Batch    649, Loss  0.870998, Average Loss  0.867202, Time  0.277479
2021-09-12 05:53:41.543003 : Epoch  8, Batch    650, Loss  0.874153, Average Loss  0.867201, Time  0.445658
2021-09-12 05:53:48.913020 : Epoch  8, Batch    651, Loss  0.882715, Average Loss  0.867274, Time  0.310088
2021-09-12 05:53:56.243727 : Epoch  8, Batch    652, Loss  0.877759, Average Loss  0.867378, Time  0.421082
2021-09-12 05:54:03.374740 : Epoch  8, Batch    653, Loss  0.863131, Average Loss  0.867330, Time  0.253914
2021-09-12 05:54:10.185621 : Epoch  8, Batch    654, Loss  0.870959, Average Loss  0.867321, Time  0.255769
2021-09-12 05:54:18.619965 : Epoch  8, Batch    655, Loss  0.843798, Average Loss  0.867107, Time  0.250603
2021-09-12 05:54:25.029037 : Epoch  8, Batch    656, Loss  0.851479, Average Loss  0.866997, Time  0.322145
2021-09-12 05:54:33.280726 : Epoch  8, Batch    657, Loss  0.871395, Average Loss  0.866958, Time  0.390050
2021-09-12 05:54:38.494683 : Epoch  8, Batch    658, Loss  0.859113, Average Loss  0.866943, Time  0.366293
2021-09-12 05:54:41.181655 : Epoch  8, Batch    659, Loss  0.867046, Average Loss  0.866970, Time  0.267033
2021-09-12 05:54:47.129325 : Epoch  8, Batch    660, Loss  0.882114, Average Loss  0.867058, Time  0.456879
2021-09-12 05:54:55.060004 : Epoch  8, Batch    661, Loss  0.869328, Average Loss  0.866945, Time  0.420836
2021-09-12 05:54:59.679733 : Epoch  8, Batch    662, Loss  0.871422, Average Loss  0.867029, Time  0.236999
2021-09-12 05:55:07.804107 : Epoch  8, Batch    663, Loss  0.874084, Average Loss  0.867081, Time  0.322215
2021-09-12 05:55:16.901929 : Epoch  8, Batch    664, Loss  0.900349, Average Loss  0.867167, Time  0.410664
2021-09-12 05:55:21.262382 : Epoch  8, Batch    665, Loss  0.866171, Average Loss  0.867171, Time  0.445686
2021-09-12 05:55:27.565784 : Epoch  8, Batch    666, Loss  0.879374, Average Loss  0.867193, Time  0.417477
2021-09-12 05:55:35.608074 : Epoch  8, Batch    667, Loss  0.864979, Average Loss  0.867218, Time  0.341623
2021-09-12 05:55:44.448823 : Epoch  8, Batch    668, Loss  0.847203, Average Loss  0.867127, Time  0.367389
2021-09-12 05:55:49.833698 : Epoch  8, Batch    669, Loss  0.864690, Average Loss  0.867276, Time  0.350520
2021-09-12 05:55:56.040265 : Epoch  8, Batch    670, Loss  0.872059, Average Loss  0.867342, Time  0.363724
2021-09-12 05:56:05.142069 : Epoch  8, Batch    671, Loss  0.868616, Average Loss  0.867424, Time  0.446473
2021-09-12 05:56:13.189101 : Epoch  8, Batch    672, Loss  0.862300, Average Loss  0.867353, Time  0.411527
2021-09-12 05:56:15.830675 : Epoch  8, Batch    673, Loss  0.869007, Average Loss  0.867393, Time  0.300006
2021-09-12 05:56:18.559796 : Epoch  8, Batch    674, Loss  0.858896, Average Loss  0.867275, Time  0.302608
2021-09-12 05:56:22.341770 : Epoch  8, Batch    675, Loss  0.870841, Average Loss  0.867385, Time  0.324647
2021-09-12 05:56:30.649707 : Epoch  8, Batch    676, Loss  0.881861, Average Loss  0.867421, Time  0.318718
2021-09-12 05:56:37.567343 : Epoch  8, Batch    677, Loss  0.867082, Average Loss  0.867378, Time  0.302209
2021-09-12 05:56:45.725746 : Epoch  8, Batch    678, Loss  0.859253, Average Loss  0.867299, Time  0.435575
2021-09-12 05:56:53.443815 : Epoch  8, Batch    679, Loss  0.871915, Average Loss  0.867350, Time  0.454859
2021-09-12 05:57:02.861082 : Epoch  8, Batch    680, Loss  0.870206, Average Loss  0.867306, Time  0.439685
2021-09-12 05:57:08.106018 : Epoch  8, Batch    681, Loss  0.887737, Average Loss  0.867324, Time  0.276599
2021-09-12 05:57:16.001543 : Epoch  8, Batch    682, Loss  0.865304, Average Loss  0.867304, Time  0.236502
2021-09-12 05:57:25.041955 : Epoch  8, Batch    683, Loss  0.855434, Average Loss  0.867284, Time  0.337379
2021-09-12 05:57:31.023845 : Epoch  8, Batch    684, Loss  0.861225, Average Loss  0.867162, Time  0.394482
2021-09-12 05:57:39.553013 : Epoch  8, Batch    685, Loss  0.843540, Average Loss  0.867015, Time  0.565270
2021-09-12 05:57:48.821712 : Epoch  8, Batch    686, Loss  0.861062, Average Loss  0.866967, Time  0.450821
2021-09-12 05:57:57.916944 : Epoch  8, Batch    687, Loss  0.869921, Average Loss  0.866995, Time  0.394759
2021-09-12 05:58:03.822841 : Epoch  8, Batch    688, Loss  0.870022, Average Loss  0.866945, Time  0.344144
2021-09-12 05:58:13.442873 : Epoch  8, Batch    689, Loss  0.860965, Average Loss  0.866937, Time  0.425062
2021-09-12 05:58:21.822712 : Epoch  8, Batch    690, Loss  0.892579, Average Loss  0.867062, Time  0.330285
2021-09-12 05:58:30.225385 : Epoch  8, Batch    691, Loss  0.879584, Average Loss  0.867069, Time  0.514091
2021-09-12 05:58:38.593244 : Epoch  8, Batch    692, Loss  0.871955, Average Loss  0.867018, Time  0.450010
2021-09-12 05:58:46.652072 : Epoch  8, Batch    693, Loss  0.858975, Average Loss  0.866903, Time  0.349494
2021-09-12 05:58:52.221518 : Epoch  8, Batch    694, Loss  0.866133, Average Loss  0.866844, Time  0.328074
2021-09-12 05:58:58.014900 : Epoch  8, Batch    695, Loss  0.868035, Average Loss  0.866862, Time  0.389006
2021-09-12 05:59:03.247671 : Epoch  8, Batch    696, Loss  0.857918, Average Loss  0.866864, Time  0.397885
2021-09-12 05:59:11.877372 : Epoch  8, Batch    697, Loss  0.856962, Average Loss  0.866772, Time  0.430734
2021-09-12 05:59:17.160132 : Epoch  8, Batch    698, Loss  0.856928, Average Loss  0.866667, Time  0.379878
2021-09-12 05:59:24.779156 : Epoch  8, Batch    699, Loss  0.865003, Average Loss  0.866541, Time  0.694233
2021-09-12 05:59:32.142069 : Epoch  8, Batch    700, Loss  0.854322, Average Loss  0.866485, Time  0.486707
2021-09-12 05:59:38.380980 : Epoch  8, Batch    701, Loss  0.863077, Average Loss  0.866340, Time  0.410925
2021-09-12 05:59:44.567157 : Epoch  8, Batch    702, Loss  0.876740, Average Loss  0.866461, Time  0.430311
2021-09-12 05:59:52.837502 : Epoch  8, Batch    703, Loss  0.869195, Average Loss  0.866573, Time  0.446620
2021-09-12 06:00:00.834055 : Epoch  8, Batch    704, Loss  0.873917, Average Loss  0.866592, Time  0.456849
2021-09-12 06:00:08.789744 : Epoch  8, Batch    705, Loss  0.877246, Average Loss  0.866664, Time  0.323823
2021-09-12 06:00:15.916892 : Epoch  8, Batch    706, Loss  0.865610, Average Loss  0.866512, Time  0.343872
2021-09-12 06:00:24.284672 : Epoch  8, Batch    707, Loss  0.888282, Average Loss  0.866681, Time  0.390113
2021-09-12 06:00:33.249794 : Epoch  8, Batch    708, Loss  0.870088, Average Loss  0.866739, Time  0.349792
2021-09-12 06:12:45.623220 : CheckPoint: Validation Loss  0.00030832, Best Loss  0.00029019
2021-09-12 06:12:53.996941 : Epoch  8, Batch    709, Loss  0.853612, Average Loss  0.866714, Time  0.478683
2021-09-12 06:13:02.310237 : Epoch  8, Batch    710, Loss  0.865449, Average Loss  0.866633, Time  0.389699
2021-09-12 06:13:08.976257 : Epoch  8, Batch    711, Loss  0.865515, Average Loss  0.866546, Time  0.252526
2021-09-12 06:13:15.574704 : Epoch  8, Batch    712, Loss  0.860892, Average Loss  0.866491, Time  0.307938
2021-09-12 06:13:20.605353 : Epoch  8, Batch    713, Loss  0.874033, Average Loss  0.866526, Time  0.354727
2021-09-12 06:13:27.412734 : Epoch  8, Batch    714, Loss  0.871860, Average Loss  0.866567, Time  0.282583
2021-09-12 06:13:36.031715 : Epoch  8, Batch    715, Loss  0.886275, Average Loss  0.866600, Time  0.494662
2021-09-12 06:13:44.738681 : Epoch  8, Batch    716, Loss  0.874801, Average Loss  0.866585, Time  0.380872
2021-09-12 06:13:49.977259 : Epoch  8, Batch    717, Loss  0.862356, Average Loss  0.866579, Time  0.346930
2021-09-12 06:13:55.937939 : Epoch  8, Batch    718, Loss  0.859908, Average Loss  0.866559, Time  0.256590
2021-09-12 06:14:04.210687 : Epoch  8, Batch    719, Loss  0.862958, Average Loss  0.866568, Time  0.443286
2021-09-12 06:14:11.230811 : Epoch  8, Batch    720, Loss  0.877757, Average Loss  0.866603, Time  0.303709
2021-09-12 06:14:20.472661 : Epoch  8, Batch    721, Loss  0.859907, Average Loss  0.866461, Time  0.335765
2021-09-12 06:14:27.843442 : Epoch  8, Batch    722, Loss  0.857501, Average Loss  0.866493, Time  0.402567
2021-09-12 06:14:30.510792 : Epoch  8, Batch    723, Loss  0.864035, Average Loss  0.866489, Time  0.338598
2021-09-12 06:14:37.721459 : Epoch  8, Batch    724, Loss  0.862873, Average Loss  0.866347, Time  0.344376
2021-09-12 06:14:46.803214 : Epoch  8, Batch    725, Loss  0.887719, Average Loss  0.866510, Time  0.471285
2021-09-12 06:14:56.095068 : Epoch  8, Batch    726, Loss  0.861204, Average Loss  0.866626, Time  0.265312
2021-09-12 06:15:00.428385 : Epoch  8, Batch    727, Loss  0.880785, Average Loss  0.866737, Time  0.283663
2021-09-12 06:15:04.297736 : Epoch  8, Batch    728, Loss  0.875322, Average Loss  0.866701, Time  0.377425
2021-09-12 06:15:13.791927 : Epoch  8, Batch    729, Loss  0.859693, Average Loss  0.866618, Time  0.282856
2021-09-12 06:15:23.672678 : Epoch  8, Batch    730, Loss  0.876842, Average Loss  0.866643, Time  0.474647
2021-09-12 06:15:31.475831 : Epoch  8, Batch    731, Loss  0.874041, Average Loss  0.866709, Time  0.319633
2021-09-12 06:15:40.571909 : Epoch  8, Batch    732, Loss  0.864944, Average Loss  0.866692, Time  0.407288
2021-09-12 06:15:48.313129 : Epoch  8, Batch    733, Loss  0.861489, Average Loss  0.866669, Time  0.447582
2021-09-12 06:15:54.597361 : Epoch  8, Batch    734, Loss  0.875056, Average Loss  0.866656, Time  0.369658
2021-09-12 06:16:02.366666 : Epoch  8, Batch    735, Loss  0.870172, Average Loss  0.866720, Time  0.344463
2021-09-12 06:16:07.985686 : Epoch  8, Batch    736, Loss  0.885049, Average Loss  0.866918, Time  0.375062
2021-09-12 06:16:16.112273 : Epoch  8, Batch    737, Loss  0.870394, Average Loss  0.866938, Time  0.461676
2021-09-12 06:16:22.770702 : Epoch  8, Batch    738, Loss  0.860394, Average Loss  0.866880, Time  0.301056
2021-09-12 06:16:28.999116 : Epoch  8, Batch    739, Loss  0.844165, Average Loss  0.866809, Time  0.395538
2021-09-12 06:16:37.836679 : Epoch  8, Batch    740, Loss  0.824636, Average Loss  0.866603, Time  0.362460
2021-09-12 06:16:44.846757 : Epoch  8, Batch    741, Loss  0.870923, Average Loss  0.866590, Time  0.274313
2021-09-12 06:16:51.399074 : Epoch  8, Batch    742, Loss  0.861850, Average Loss  0.866476, Time  0.372409
2021-09-12 06:17:00.762866 : Epoch  8, Batch    743, Loss  0.872951, Average Loss  0.866490, Time  0.325054
2021-09-12 06:17:09.502019 : Epoch  8, Batch    744, Loss  0.860585, Average Loss  0.866350, Time  0.421880
2021-09-12 06:17:17.918132 : Epoch  8, Batch    745, Loss  0.852855, Average Loss  0.866243, Time  0.413411
2021-09-12 06:17:24.098255 : Epoch  8, Batch    746, Loss  0.858598, Average Loss  0.866156, Time  0.422553
2021-09-12 06:17:31.556699 : Epoch  8, Batch    747, Loss  0.859850, Average Loss  0.866033, Time  0.286642
2021-09-12 06:17:39.261842 : Epoch  8, Batch    748, Loss  0.855249, Average Loss  0.865933, Time  0.369195
2021-09-12 06:17:44.082665 : Epoch  8, Batch    749, Loss  0.840970, Average Loss  0.865846, Time  0.414967
2021-09-12 06:17:50.383763 : Epoch  8, Batch    750, Loss  0.891214, Average Loss  0.865949, Time  0.470250
2021-09-12 06:17:54.359490 : Epoch  8, Batch    751, Loss  0.871304, Average Loss  0.865981, Time  0.371737
2021-09-12 06:18:02.472798 : Epoch  8, Batch    752, Loss  0.868944, Average Loss  0.865923, Time  0.284700
2021-09-12 06:18:11.821794 : Epoch  8, Batch    753, Loss  0.883941, Average Loss  0.866049, Time  0.326340
2021-09-12 06:18:17.620351 : Epoch  8, Batch    754, Loss  0.882000, Average Loss  0.866175, Time  0.307122
2021-09-12 06:18:25.414950 : Epoch  8, Batch    755, Loss  0.883654, Average Loss  0.866372, Time  0.391160
2021-09-12 06:18:34.041661 : Epoch  8, Batch    756, Loss  0.883469, Average Loss  0.866589, Time  0.416216
2021-09-12 06:18:38.011870 : Epoch  8, Batch    757, Loss  0.855384, Average Loss  0.866645, Time  0.308001
2021-09-12 06:18:44.960395 : Epoch  8, Batch    758, Loss  0.868229, Average Loss  0.866605, Time  0.278183
2021-09-12 06:18:55.100731 : Epoch  8, Batch    759, Loss  0.877312, Average Loss  0.866650, Time  0.327462
2021-09-12 06:19:02.451762 : Epoch  8, Batch    760, Loss  0.875527, Average Loss  0.866708, Time  0.400527
2021-09-12 06:19:09.170629 : Epoch  8, Batch    761, Loss  0.865852, Average Loss  0.866647, Time  0.372679
2021-09-12 06:19:14.741761 : Epoch  8, Batch    762, Loss  0.860100, Average Loss  0.866700, Time  0.388133
2021-09-12 06:19:21.638285 : Epoch  8, Batch    763, Loss  0.871001, Average Loss  0.866783, Time  0.461699
2021-09-12 06:19:30.202273 : Epoch  8, Batch    764, Loss  0.865961, Average Loss  0.866755, Time  0.457864
2021-09-12 06:19:36.882564 : Epoch  8, Batch    765, Loss  0.869479, Average Loss  0.866835, Time  0.313405
2021-09-12 06:19:44.081176 : Epoch  8, Batch    766, Loss  0.888149, Average Loss  0.867008, Time  0.452411
2021-09-12 06:19:50.356630 : Epoch  8, Batch    767, Loss  0.866042, Average Loss  0.867068, Time  0.328363
2021-09-12 06:19:57.637670 : Epoch  8, Batch    768, Loss  0.884369, Average Loss  0.867132, Time  0.436386
2021-09-12 06:20:06.050738 : Epoch  8, Batch    769, Loss  0.879228, Average Loss  0.867175, Time  0.431442
2021-09-12 06:20:11.371735 : Epoch  8, Batch    770, Loss  0.879468, Average Loss  0.867164, Time  0.427380
2021-09-12 06:20:19.010919 : Epoch  8, Batch    771, Loss  0.868832, Average Loss  0.867151, Time  0.340223
2021-09-12 06:20:28.494878 : Epoch  8, Batch    772, Loss  0.881553, Average Loss  0.867266, Time  0.413956
2021-09-12 06:20:31.323651 : Epoch  8, Batch    773, Loss  0.860934, Average Loss  0.867297, Time  0.381449
2021-09-12 06:20:41.077045 : Epoch  8, Batch    774, Loss  0.861155, Average Loss  0.867151, Time  0.537693
2021-09-12 06:20:50.193675 : Epoch  8, Batch    775, Loss  0.894457, Average Loss  0.867211, Time  0.264241
2021-09-12 06:20:55.711712 : Epoch  8, Batch    776, Loss  0.876568, Average Loss  0.867273, Time  0.319482
2021-09-12 06:21:01.209727 : Epoch  8, Batch    777, Loss  0.874519, Average Loss  0.867252, Time  0.453746
2021-09-12 06:21:09.628682 : Epoch  8, Batch    778, Loss  0.880103, Average Loss  0.867353, Time  0.253301
2021-09-12 06:21:17.111729 : Epoch  8, Batch    779, Loss  0.891500, Average Loss  0.867427, Time  0.360668
2021-09-12 06:21:26.983062 : Epoch  8, Batch    780, Loss  0.882579, Average Loss  0.867449, Time  0.360711
2021-09-12 06:21:32.464203 : Epoch  8, Batch    781, Loss  0.862961, Average Loss  0.867355, Time  0.358767
2021-09-12 06:21:39.249671 : Epoch  8, Batch    782, Loss  0.863420, Average Loss  0.867325, Time  0.291035
2021-09-12 06:21:42.000678 : Epoch  8, Batch    783, Loss  0.850697, Average Loss  0.867462, Time  0.277274
2021-09-12 06:21:50.756664 : Epoch  8, Batch    784, Loss  0.866273, Average Loss  0.867527, Time  0.245587
2021-09-12 06:21:57.954743 : Epoch  8, Batch    785, Loss  0.840478, Average Loss  0.867296, Time  0.317056
2021-09-12 06:22:04.574793 : Epoch  8, Batch    786, Loss  0.872096, Average Loss  0.867288, Time  0.329209
2021-09-12 06:22:13.267828 : Epoch  8, Batch    787, Loss  0.860947, Average Loss  0.867229, Time  0.367042
2021-09-12 06:22:22.173620 : Epoch  8, Batch    788, Loss  0.858762, Average Loss  0.867254, Time  0.340567
2021-09-12 06:22:31.339764 : Epoch  8, Batch    789, Loss  0.870643, Average Loss  0.867290, Time  0.509674
2021-09-12 06:22:36.731845 : Epoch  8, Batch    790, Loss  0.863517, Average Loss  0.867190, Time  0.497974
2021-09-12 06:22:46.962173 : Epoch  8, Batch    791, Loss  0.868305, Average Loss  0.867116, Time  0.400836
2021-09-12 06:22:51.672808 : Epoch  8, Batch    792, Loss  0.861148, Average Loss  0.867108, Time  0.437199
2021-09-12 06:23:00.543253 : Epoch  8, Batch    793, Loss  0.867873, Average Loss  0.867074, Time  0.396128
2021-09-12 06:23:09.138745 : Epoch  8, Batch    794, Loss  0.871394, Average Loss  0.867200, Time  0.556551
2021-09-12 06:23:14.207141 : Epoch  8, Batch    795, Loss  0.871415, Average Loss  0.867227, Time  0.395041
2021-09-12 06:23:22.460898 : Epoch  8, Batch    796, Loss  0.876063, Average Loss  0.867206, Time  0.462458
2021-09-12 06:23:29.371168 : Epoch  8, Batch    797, Loss  0.865943, Average Loss  0.867319, Time  0.388815
2021-09-12 06:23:36.788061 : Epoch  8, Batch    798, Loss  0.889336, Average Loss  0.867552, Time  0.300133
2021-09-12 06:23:47.269330 : Epoch  8, Batch    799, Loss  0.855519, Average Loss  0.867442, Time  0.523844
2021-09-12 06:23:55.717736 : Epoch  8, Batch    800, Loss  0.847591, Average Loss  0.867240, Time  0.389911
2021-09-12 06:24:04.822754 : Epoch  8, Batch    801, Loss  0.886201, Average Loss  0.867388, Time  0.365871
2021-09-12 06:24:10.387060 : Epoch  8, Batch    802, Loss  0.853998, Average Loss  0.867372, Time  0.352909
2021-09-12 06:24:18.003775 : Epoch  8, Batch    803, Loss  0.871165, Average Loss  0.867460, Time  0.429793
2021-09-12 06:24:26.713215 : Epoch  8, Batch    804, Loss  0.888827, Average Loss  0.867582, Time  0.402330
2021-09-12 06:24:34.622355 : Epoch  8, Batch    805, Loss  0.873222, Average Loss  0.867575, Time  0.361646
2021-09-12 06:24:39.711768 : Epoch  8, Batch    806, Loss  0.863858, Average Loss  0.867505, Time  0.356384
2021-09-12 06:24:48.126676 : Epoch  8, Batch    807, Loss  0.876860, Average Loss  0.867678, Time  0.381603
2021-09-12 06:24:55.591957 : Epoch  8, Batch    808, Loss  0.886398, Average Loss  0.867708, Time  0.358682
2021-09-12 06:37:14.237867 : CheckPoint: Validation Loss  0.00030198, Best Loss  0.00029019
2021-09-12 06:37:19.398508 : Epoch  8, Batch    809, Loss  0.859888, Average Loss  0.867587, Time  0.236669
2021-09-12 06:37:26.483693 : Epoch  8, Batch    810, Loss  0.866708, Average Loss  0.867586, Time  0.409994
2021-09-12 06:37:32.338087 : Epoch  8, Batch    811, Loss  0.858899, Average Loss  0.867549, Time  0.257458
2021-09-12 06:37:38.857639 : Epoch  8, Batch    812, Loss  0.868957, Average Loss  0.867546, Time  0.387775
2021-09-12 06:37:41.591685 : Epoch  8, Batch    813, Loss  0.845766, Average Loss  0.867517, Time  0.277571
2021-09-12 06:37:44.253788 : Epoch  8, Batch    814, Loss  0.893995, Average Loss  0.867627, Time  0.246626
2021-09-12 06:37:50.881103 : Epoch  8, Batch    815, Loss  0.864757, Average Loss  0.867688, Time  0.490652
2021-09-12 06:37:58.928731 : Epoch  8, Batch    816, Loss  0.873282, Average Loss  0.867728, Time  0.370173
2021-09-12 06:38:07.562930 : Epoch  8, Batch    817, Loss  0.886585, Average Loss  0.867773, Time  0.388347
2021-09-12 06:38:15.091954 : Epoch  8, Batch    818, Loss  0.842805, Average Loss  0.867638, Time  0.424698
2021-09-12 06:38:23.085555 : Epoch  8, Batch    819, Loss  0.855321, Average Loss  0.867559, Time  0.445141
2021-09-12 06:38:31.525322 : Epoch  8, Batch    820, Loss  0.860548, Average Loss  0.867671, Time  0.410277
2021-09-12 06:38:41.172886 : Epoch  8, Batch    821, Loss  0.866621, Average Loss  0.867709, Time  0.326444
2021-09-12 06:38:49.334732 : Epoch  8, Batch    822, Loss  0.859139, Average Loss  0.867634, Time  0.288297
2021-09-12 06:38:55.859903 : Epoch  8, Batch    823, Loss  0.859353, Average Loss  0.867673, Time  0.315849
2021-09-12 06:39:05.059763 : Epoch  8, Batch    824, Loss  0.860122, Average Loss  0.867658, Time  0.414903
2021-09-12 06:39:12.892718 : Epoch  8, Batch    825, Loss  0.881580, Average Loss  0.867762, Time  0.416100
2021-09-12 06:39:20.924432 : Epoch  8, Batch    826, Loss  0.878955, Average Loss  0.867724, Time  0.510730
2021-09-12 06:39:26.596418 : Epoch  8, Batch    827, Loss  0.890791, Average Loss  0.867884, Time  0.390703
2021-09-12 06:39:33.580257 : Epoch  8, Batch    828, Loss  0.842842, Average Loss  0.867656, Time  0.299770
2021-09-12 06:39:43.513021 : Epoch  8, Batch    829, Loss  0.885551, Average Loss  0.867790, Time  0.438133
2021-09-12 06:39:50.203695 : Epoch  8, Batch    830, Loss  0.881571, Average Loss  0.867948, Time  0.261872
2021-09-12 06:39:57.998866 : Epoch  8, Batch    831, Loss  0.854862, Average Loss  0.867998, Time  0.381920
2021-09-12 06:40:04.353740 : Epoch  8, Batch    832, Loss  0.870497, Average Loss  0.868044, Time  0.293490
2021-09-12 06:40:09.482924 : Epoch  8, Batch    833, Loss  0.844550, Average Loss  0.867923, Time  0.236797
2021-09-12 06:40:20.224898 : Epoch  8, Batch    834, Loss  0.873086, Average Loss  0.868008, Time  0.406296
2021-09-12 06:40:26.929584 : Epoch  8, Batch    835, Loss  0.857666, Average Loss  0.867901, Time  0.409572
2021-09-12 06:40:33.712038 : Epoch  8, Batch    836, Loss  0.866457, Average Loss  0.867917, Time  0.379007
2021-09-12 06:40:41.509861 : Epoch  8, Batch    837, Loss  0.862954, Average Loss  0.867958, Time  0.280224
2021-09-12 06:40:48.561927 : Epoch  8, Batch    838, Loss  0.874395, Average Loss  0.867948, Time  0.300214
2021-09-12 06:40:54.838844 : Epoch  8, Batch    839, Loss  0.850168, Average Loss  0.867866, Time  0.326708
2021-09-12 06:41:02.141875 : Epoch  8, Batch    840, Loss  0.856484, Average Loss  0.867943, Time  0.299951
2021-09-12 06:41:06.960567 : Epoch  8, Batch    841, Loss  0.871704, Average Loss  0.867917, Time  0.271072
2021-09-12 06:41:15.063713 : Epoch  8, Batch    842, Loss  0.858636, Average Loss  0.867984, Time  0.326117
2021-09-12 06:41:22.947387 : Epoch  8, Batch    843, Loss  0.861552, Average Loss  0.868026, Time  0.423753
2021-09-12 06:41:32.343256 : Epoch  8, Batch    844, Loss  0.860388, Average Loss  0.867957, Time  0.462846
2021-09-12 06:41:41.130766 : Epoch  8, Batch    845, Loss  0.850877, Average Loss  0.867947, Time  0.397753
2021-09-12 06:41:48.798957 : Epoch  8, Batch    846, Loss  0.898016, Average Loss  0.868143, Time  0.293996
2021-09-12 06:41:53.638402 : Epoch  8, Batch    847, Loss  0.879464, Average Loss  0.868217, Time  0.351247
2021-09-12 06:41:59.676040 : Epoch  8, Batch    848, Loss  0.876239, Average Loss  0.868186, Time  0.276352
2021-09-12 06:42:09.938728 : Epoch  8, Batch    849, Loss  0.866566, Average Loss  0.868164, Time  0.568404
2021-09-12 06:42:17.721354 : Epoch  8, Batch    850, Loss  0.867878, Average Loss  0.868133, Time  0.432023
2021-09-12 06:42:25.869657 : Epoch  8, Batch    851, Loss  0.853272, Average Loss  0.867986, Time  0.486161
2021-09-12 06:42:36.008133 : Epoch  8, Batch    852, Loss  0.884811, Average Loss  0.868021, Time  0.416525
2021-09-12 06:42:44.047397 : Epoch  8, Batch    853, Loss  0.874084, Average Loss  0.868076, Time  0.342358
2021-09-12 06:42:52.714433 : Epoch  8, Batch    854, Loss  0.853232, Average Loss  0.867987, Time  0.359237
2021-09-12 06:42:58.802221 : Epoch  8, Batch    855, Loss  0.871671, Average Loss  0.868126, Time  0.330043
2021-09-12 06:43:03.317186 : Epoch  8, Batch    856, Loss  0.879515, Average Loss  0.868267, Time  0.299219
2021-09-12 06:43:11.925699 : Epoch  8, Batch    857, Loss  0.849941, Average Loss  0.868159, Time  0.321454
2021-09-12 06:43:19.085410 : Epoch  8, Batch    858, Loss  0.858306, Average Loss  0.868155, Time  0.372599
2021-09-12 06:43:30.350937 : Epoch  8, Batch    859, Loss  0.859788, Average Loss  0.868119, Time  0.373141
2021-09-12 06:43:33.408219 : Epoch  8, Batch    860, Loss  0.875786, Average Loss  0.868087, Time  0.258970
2021-09-12 06:43:41.753898 : Epoch  8, Batch    861, Loss  0.854693, Average Loss  0.868014, Time  0.306101
2021-09-12 06:43:49.910877 : Epoch  8, Batch    862, Loss  0.858006, Average Loss  0.867947, Time  0.303303
2021-09-12 06:43:56.962721 : Epoch  8, Batch    863, Loss  0.869202, Average Loss  0.867923, Time  0.412100
2021-09-12 06:44:02.654860 : Epoch  8, Batch    864, Loss  0.868601, Average Loss  0.867764, Time  0.278540
2021-09-12 06:44:10.838413 : Epoch  8, Batch    865, Loss  0.857095, Average Loss  0.867719, Time  0.392100
2021-09-12 06:44:16.475115 : Epoch  8, Batch    866, Loss  0.866002, Average Loss  0.867652, Time  0.392487
2021-09-12 06:44:25.240820 : Epoch  8, Batch    867, Loss  0.878774, Average Loss  0.867721, Time  0.270876
2021-09-12 06:44:31.922116 : Epoch  8, Batch    868, Loss  0.864849, Average Loss  0.867809, Time  0.412169
2021-09-12 06:44:38.102865 : Epoch  8, Batch    869, Loss  0.881087, Average Loss  0.867891, Time  0.337092
2021-09-12 06:44:47.731164 : Epoch  8, Batch    870, Loss  0.886357, Average Loss  0.867962, Time  0.312322
2021-09-12 06:44:53.334359 : Epoch  8, Batch    871, Loss  0.872250, Average Loss  0.867981, Time  0.294328
2021-09-12 06:45:01.188823 : Epoch  8, Batch    872, Loss  0.874164, Average Loss  0.868040, Time  0.577637
2021-09-12 06:45:06.601104 : Epoch  8, Batch    873, Loss  0.863957, Average Loss  0.868015, Time  0.358574
2021-09-12 06:45:11.794829 : Epoch  8, Batch    874, Loss  0.869951, Average Loss  0.868070, Time  0.238260
2021-09-12 06:45:23.499327 : Epoch  8, Batch    875, Loss  0.856228, Average Loss  0.867997, Time  0.387527
2021-09-12 06:45:32.488737 : Epoch  8, Batch    876, Loss  0.867727, Average Loss  0.867926, Time  0.383068
2021-09-12 06:45:40.906626 : Epoch  8, Batch    877, Loss  0.887541, Average Loss  0.868028, Time  0.417706
2021-09-12 06:45:46.213901 : Epoch  8, Batch    878, Loss  0.879106, Average Loss  0.868128, Time  0.237753
2021-09-12 06:45:49.515769 : Epoch  8, Batch    879, Loss  0.863550, Average Loss  0.868086, Time  0.237694
2021-09-12 06:45:57.976228 : Epoch  8, Batch    880, Loss  0.846966, Average Loss  0.867970, Time  0.374506
2021-09-12 06:46:06.468661 : Epoch  8, Batch    881, Loss  0.888364, Average Loss  0.867973, Time  0.300832
2021-09-12 06:46:15.526093 : Epoch  8, Batch    882, Loss  0.860947, Average Loss  0.867951, Time  0.594049
2021-09-12 06:46:20.323778 : Epoch  8, Batch    883, Loss  0.898818, Average Loss  0.868168, Time  0.293418
2021-09-12 06:46:26.048934 : Epoch  8, Batch    884, Loss  0.886446, Average Loss  0.868294, Time  0.423574
2021-09-12 06:46:35.157769 : Epoch  8, Batch    885, Loss  0.858171, Average Loss  0.868367, Time  0.497407
2021-09-12 06:46:44.129888 : Epoch  8, Batch    886, Loss  0.860855, Average Loss  0.868366, Time  0.485212
2021-09-12 06:46:51.019348 : Epoch  8, Batch    887, Loss  0.878576, Average Loss  0.868410, Time  0.499579
2021-09-12 06:46:57.522967 : Epoch  8, Batch    888, Loss  0.867321, Average Loss  0.868396, Time  0.417489
2021-09-12 06:47:05.195681 : Epoch  8, Batch    889, Loss  0.867003, Average Loss  0.868426, Time  0.355153
2021-09-12 06:47:11.667321 : Epoch  8, Batch    890, Loss  0.867365, Average Loss  0.868300, Time  0.314619
2021-09-12 06:47:19.084840 : Epoch  8, Batch    891, Loss  0.876352, Average Loss  0.868284, Time  0.305954
2021-09-12 06:47:26.016137 : Epoch  8, Batch    892, Loss  0.850711, Average Loss  0.868178, Time  0.366459
2021-09-12 06:47:35.636958 : Epoch  8, Batch    893, Loss  0.876822, Average Loss  0.868267, Time  0.327121
2021-09-12 06:47:45.865767 : Epoch  8, Batch    894, Loss  0.872569, Average Loss  0.868299, Time  0.481601
2021-09-12 06:47:53.233789 : Epoch  8, Batch    895, Loss  0.848910, Average Loss  0.868204, Time  0.254592
2021-09-12 06:48:01.809007 : Epoch  8, Batch    896, Loss  0.885959, Average Loss  0.868344, Time  0.320818
2021-09-12 06:48:11.058477 : Epoch  8, Batch    897, Loss  0.855281, Average Loss  0.868335, Time  0.486745
2021-09-12 06:48:19.196016 : Epoch  8, Batch    898, Loss  0.848090, Average Loss  0.868291, Time  0.339534
2021-09-12 06:48:29.252680 : Epoch  8, Batch    899, Loss  0.866738, Average Loss  0.868300, Time  0.473707
2021-09-12 06:48:34.740691 : Epoch  8, Batch    900, Loss  0.860425, Average Loss  0.868330, Time  0.315683
2021-09-12 06:48:41.329312 : Epoch  8, Batch    901, Loss  0.865822, Average Loss  0.868344, Time  0.293326
2021-09-12 06:48:47.087048 : Epoch  8, Batch    902, Loss  0.873238, Average Loss  0.868327, Time  0.438221
2021-09-12 06:48:53.754994 : Epoch  8, Batch    903, Loss  0.892654, Average Loss  0.868444, Time  0.385766
2021-09-12 06:49:02.052228 : Epoch  8, Batch    904, Loss  0.878161, Average Loss  0.868465, Time  0.351786
2021-09-12 06:49:09.004899 : Epoch  8, Batch    905, Loss  0.870822, Average Loss  0.868433, Time  0.400211
2021-09-12 06:49:15.348940 : Epoch  8, Batch    906, Loss  0.874082, Average Loss  0.868475, Time  0.399469
2021-09-12 06:49:22.513749 : Epoch  8, Batch    907, Loss  0.854942, Average Loss  0.868309, Time  0.452664
2021-09-12 06:49:29.537714 : Epoch  8, Batch    908, Loss  0.852299, Average Loss  0.868220, Time  0.468510
2021-09-12 07:01:20.696820 : CheckPoint: Validation Loss  0.00031248, Best Loss  0.00029019
2021-09-12 07:01:29.045830 : Epoch  8, Batch    909, Loss  0.872300, Average Loss  0.868313, Time  0.323747
2021-09-12 07:01:38.254106 : Epoch  8, Batch    910, Loss  0.870523, Average Loss  0.868338, Time  0.540299
2021-09-12 07:01:43.445900 : Epoch  8, Batch    911, Loss  0.853381, Average Loss  0.868278, Time  0.278517
2021-09-12 07:01:52.642327 : Epoch  8, Batch    912, Loss  0.885770, Average Loss  0.868402, Time  0.443369
2021-09-12 07:02:01.686749 : Epoch  8, Batch    913, Loss  0.884255, Average Loss  0.868453, Time  0.454457
2021-09-12 07:02:10.327654 : Epoch  8, Batch    914, Loss  0.864017, Average Loss  0.868414, Time  0.359205
2021-09-12 07:02:18.649246 : Epoch  8, Batch    915, Loss  0.868580, Average Loss  0.868326, Time  0.340703
2021-09-12 07:02:27.861965 : Epoch  8, Batch    916, Loss  0.875065, Average Loss  0.868327, Time  0.407310
2021-09-12 07:02:36.507069 : Epoch  8, Batch    917, Loss  0.888769, Average Loss  0.868459, Time  0.470056
2021-09-12 07:02:40.568694 : Epoch  8, Batch    918, Loss  0.876763, Average Loss  0.868543, Time  0.299592
2021-09-12 07:02:44.140672 : Epoch  8, Batch    919, Loss  0.863057, Average Loss  0.868544, Time  0.346945
2021-09-12 07:02:52.987668 : Epoch  8, Batch    920, Loss  0.867096, Average Loss  0.868490, Time  0.298923
2021-09-12 07:03:00.655715 : Epoch  8, Batch    921, Loss  0.854849, Average Loss  0.868465, Time  0.282560
2021-09-12 07:03:06.943938 : Epoch  8, Batch    922, Loss  0.861788, Average Loss  0.868487, Time  0.341523
2021-09-12 07:03:14.807740 : Epoch  8, Batch    923, Loss  0.864264, Average Loss  0.868488, Time  0.425265
2021-09-12 07:03:17.874673 : Epoch  8, Batch    924, Loss  0.864065, Average Loss  0.868494, Time  0.363970
2021-09-12 07:03:25.620754 : Epoch  8, Batch    925, Loss  0.862070, Average Loss  0.868365, Time  0.356636
2021-09-12 07:03:32.202789 : Epoch  8, Batch    926, Loss  0.858954, Average Loss  0.868354, Time  0.299164
2021-09-12 07:03:41.434701 : Epoch  8, Batch    927, Loss  0.893173, Average Loss  0.868416, Time  0.308944
2021-09-12 07:03:48.959820 : Epoch  8, Batch    928, Loss  0.868178, Average Loss  0.868380, Time  0.277981
2021-09-12 07:03:56.606398 : Epoch  8, Batch    929, Loss  0.869521, Average Loss  0.868430, Time  0.350754
2021-09-12 07:04:03.988974 : Epoch  8, Batch    930, Loss  0.866094, Average Loss  0.868376, Time  0.341404
2021-09-12 07:04:07.389022 : Epoch  8, Batch    931, Loss  0.849307, Average Loss  0.868252, Time  0.276943
2021-09-12 07:04:13.902188 : Epoch  8, Batch    932, Loss  0.863818, Average Loss  0.868247, Time  0.283241
2021-09-12 07:04:20.657514 : Epoch  8, Batch    933, Loss  0.857905, Average Loss  0.868229, Time  0.367746
2021-09-12 07:04:29.261715 : Epoch  8, Batch    934, Loss  0.870707, Average Loss  0.868207, Time  0.279155
2021-09-12 07:04:39.128777 : Epoch  8, Batch    935, Loss  0.861631, Average Loss  0.868164, Time  0.466616
2021-09-12 07:04:46.115610 : Epoch  8, Batch    936, Loss  0.868784, Average Loss  0.868083, Time  0.520310
2021-09-12 07:04:54.255947 : Epoch  8, Batch    937, Loss  0.882527, Average Loss  0.868144, Time  0.416231
2021-09-12 07:05:01.464706 : Epoch  8, Batch    938, Loss  0.844023, Average Loss  0.868062, Time  0.284348
2021-09-12 07:05:04.090836 : Epoch  8, Batch    939, Loss  0.880010, Average Loss  0.868241, Time  0.264687
2021-09-12 07:05:11.873731 : Epoch  8, Batch    940, Loss  0.855821, Average Loss  0.868397, Time  0.393722
2021-09-12 07:05:17.671245 : Epoch  8, Batch    941, Loss  0.853876, Average Loss  0.868312, Time  0.357199
2021-09-12 07:05:24.998734 : Epoch  8, Batch    942, Loss  0.864279, Average Loss  0.868324, Time  0.367127
2021-09-12 07:05:30.621036 : Epoch  8, Batch    943, Loss  0.854352, Average Loss  0.868231, Time  0.371423
2021-09-12 07:05:38.674420 : Epoch  8, Batch    944, Loss  0.857120, Average Loss  0.868213, Time  0.339805
2021-09-12 07:05:47.869417 : Epoch  8, Batch    945, Loss  0.876114, Average Loss  0.868330, Time  0.377623
2021-09-12 07:05:56.109892 : Epoch  8, Batch    946, Loss  0.860368, Average Loss  0.868339, Time  0.342575
2021-09-12 07:06:03.583038 : Epoch  8, Batch    947, Loss  0.867403, Average Loss  0.868376, Time  0.317137
2021-09-12 07:06:13.846894 : Epoch  8, Batch    948, Loss  0.881159, Average Loss  0.868506, Time  0.308819
2021-09-12 07:06:19.759132 : Epoch  8, Batch    949, Loss  0.849679, Average Loss  0.868549, Time  0.367319
2021-09-12 07:06:28.561691 : Epoch  8, Batch    950, Loss  0.873652, Average Loss  0.868462, Time  0.316896
2021-09-12 07:06:37.258755 : Epoch  8, Batch    951, Loss  0.874673, Average Loss  0.868478, Time  0.313136
2021-09-12 07:06:44.518876 : Epoch  8, Batch    952, Loss  0.884335, Average Loss  0.868555, Time  0.236617
2021-09-12 07:06:52.893152 : Epoch  8, Batch    953, Loss  0.854731, Average Loss  0.868409, Time  0.262505
2021-09-12 07:07:00.571746 : Epoch  8, Batch    954, Loss  0.867111, Average Loss  0.868335, Time  0.354862
2021-09-12 07:07:05.931086 : Epoch  8, Batch    955, Loss  0.868199, Average Loss  0.868258, Time  0.405272
2021-09-12 07:07:13.798304 : Epoch  8, Batch    956, Loss  0.881249, Average Loss  0.868247, Time  0.320938
2021-09-12 07:07:17.863659 : Epoch  8, Batch    957, Loss  0.863904, Average Loss  0.868289, Time  0.323260
2021-09-12 07:07:26.554033 : Epoch  8, Batch    958, Loss  0.882698, Average Loss  0.868361, Time  0.332400
2021-09-12 07:07:33.419163 : Epoch  8, Batch    959, Loss  0.865318, Average Loss  0.868301, Time  0.386242
2021-09-12 07:07:41.330955 : Epoch  8, Batch    960, Loss  0.874097, Average Loss  0.868294, Time  0.357622
2021-09-12 07:07:44.359472 : Epoch  8, Batch    961, Loss  0.891688, Average Loss  0.868424, Time  0.329498
2021-09-12 07:07:52.192042 : Epoch  8, Batch    962, Loss  0.870398, Average Loss  0.868475, Time  0.435613
2021-09-12 07:08:01.067793 : Epoch  8, Batch    963, Loss  0.878542, Average Loss  0.868513, Time  0.341941
2021-09-12 07:08:09.410872 : Epoch  8, Batch    964, Loss  0.868984, Average Loss  0.868528, Time  0.339690
2021-09-12 07:08:18.150792 : Epoch  8, Batch    965, Loss  0.859079, Average Loss  0.868476, Time  0.424652
2021-09-12 07:08:27.662087 : Epoch  8, Batch    966, Loss  0.870797, Average Loss  0.868389, Time  0.347097
2021-09-12 07:08:36.590040 : Epoch  8, Batch    967, Loss  0.859032, Average Loss  0.868354, Time  0.370263
2021-09-12 07:08:45.262912 : Epoch  8, Batch    968, Loss  0.879032, Average Loss  0.868327, Time  0.267476
2021-09-12 07:08:51.354226 : Epoch  8, Batch    969, Loss  0.880751, Average Loss  0.868335, Time  0.289081
2021-09-12 07:08:59.517957 : Epoch  8, Batch    970, Loss  0.870195, Average Loss  0.868289, Time  0.293598
2021-09-12 07:09:08.313869 : Epoch  8, Batch    971, Loss  0.852018, Average Loss  0.868205, Time  0.302983
2021-09-12 07:09:13.179986 : Epoch  8, Batch    972, Loss  0.852538, Average Loss  0.868059, Time  0.264073
2021-09-12 07:09:18.992805 : Epoch  8, Batch    973, Loss  0.868793, Average Loss  0.868099, Time  0.299571
2021-09-12 07:09:28.078843 : Epoch  8, Batch    974, Loss  0.861448, Average Loss  0.868100, Time  0.485796
2021-09-12 07:09:35.255908 : Epoch  8, Batch    975, Loss  0.884878, Average Loss  0.868052, Time  0.539824
2021-09-12 07:09:43.326064 : Epoch  8, Batch    976, Loss  0.867068, Average Loss  0.868005, Time  0.298028
2021-09-12 07:09:49.823489 : Epoch  8, Batch    977, Loss  0.883882, Average Loss  0.868052, Time  0.411890
2021-09-12 07:10:00.779922 : Epoch  8, Batch    978, Loss  0.869928, Average Loss  0.868001, Time  0.459049
2021-09-12 07:10:10.693504 : Epoch  8, Batch    979, Loss  0.870331, Average Loss  0.867895, Time  0.389940
2021-09-12 07:10:20.645703 : Epoch  8, Batch    980, Loss  0.848356, Average Loss  0.867724, Time  0.285710
2021-09-12 07:10:27.875352 : Epoch  8, Batch    981, Loss  0.854833, Average Loss  0.867683, Time  0.331693
2021-09-12 07:10:34.375213 : Epoch  8, Batch    982, Loss  0.854052, Average Loss  0.867636, Time  0.293255
2021-09-12 07:10:41.259644 : Epoch  8, Batch    983, Loss  0.887397, Average Loss  0.867820, Time  0.389141
2021-09-12 07:10:48.191789 : Epoch  8, Batch    984, Loss  0.834774, Average Loss  0.867662, Time  0.338338
2021-09-12 07:10:58.217927 : Epoch  8, Batch    985, Loss  0.863921, Average Loss  0.867780, Time  0.456955
2021-09-12 07:11:06.124982 : Epoch  8, Batch    986, Loss  0.876862, Average Loss  0.867803, Time  0.481066
2021-09-12 07:11:13.963360 : Epoch  8, Batch    987, Loss  0.883219, Average Loss  0.867915, Time  0.313038
2021-09-12 07:11:21.187119 : Epoch  8, Batch    988, Loss  0.852472, Average Loss  0.867883, Time  0.340745
2021-09-12 07:11:29.682732 : Epoch  8, Batch    989, Loss  0.843610, Average Loss  0.867748, Time  0.385263
2021-09-12 07:11:35.705955 : Epoch  8, Batch    990, Loss  0.859108, Average Loss  0.867726, Time  0.393914
2021-09-12 07:11:44.755711 : Epoch  8, Batch    991, Loss  0.867684, Average Loss  0.867723, Time  0.441542
2021-09-12 07:11:48.604655 : Epoch  8, Batch    992, Loss  0.845394, Average Loss  0.867644, Time  0.258351
2021-09-12 07:11:59.528838 : Epoch  8, Batch    993, Loss  0.863545, Average Loss  0.867623, Time  0.289861
2021-09-12 07:12:08.321707 : Epoch  8, Batch    994, Loss  0.853044, Average Loss  0.867531, Time  0.399731
2021-09-12 07:12:15.197717 : Epoch  8, Batch    995, Loss  0.876369, Average Loss  0.867556, Time  0.328545
2021-09-12 07:12:25.493990 : Epoch  8, Batch    996, Loss  0.857319, Average Loss  0.867462, Time  0.493148
2021-09-12 07:12:32.726507 : Epoch  8, Batch    997, Loss  0.873403, Average Loss  0.867499, Time  0.285420
2021-09-12 07:12:42.292617 : Epoch  8, Batch    998, Loss  0.859025, Average Loss  0.867348, Time  0.316093
2021-09-12 07:12:48.684303 : Epoch  8, Batch    999, Loss  0.868869, Average Loss  0.867414, Time  0.275815
2021-09-12 07:12:51.346639 : Epoch  8, Batch   1000, Loss  0.846138, Average Loss  0.867407, Time  0.236621
2021-09-12 07:12:54.220105 : Epoch  8, Batch   1001, Loss  0.881528, Average Loss  0.867384, Time  0.333022
2021-09-12 07:13:02.947656 : Epoch  8, Batch   1002, Loss  0.880213, Average Loss  0.867515, Time  0.289772
2021-09-12 07:13:12.352261 : Epoch  8, Batch   1003, Loss  0.876725, Average Loss  0.867543, Time  0.413384
2021-09-12 07:13:19.299699 : Epoch  8, Batch   1004, Loss  0.879216, Average Loss  0.867495, Time  0.302093
2021-09-12 07:13:26.365646 : Epoch  8, Batch   1005, Loss  0.883434, Average Loss  0.867546, Time  0.273436
2021-09-12 07:13:36.949048 : Epoch  8, Batch   1006, Loss  0.869460, Average Loss  0.867574, Time  0.562825
2021-09-12 07:13:42.668007 : Epoch  8, Batch   1007, Loss  0.857797, Average Loss  0.867478, Time  0.332816
2021-09-12 07:14:12.408966 : Epoch  8, Batch   1008, Loss  0.876201, Average Loss  0.867427, Time  0.466814
2021-09-12 07:26:37.937848 : CheckPoint: Validation Loss  0.00029678, Best Loss  0.00029019
2021-09-12 07:26:44.393877 : Epoch  8, Batch   1009, Loss  0.878925, Average Loss  0.867522, Time  0.353158
2021-09-12 07:26:53.064665 : Epoch  8, Batch   1010, Loss  0.867715, Average Loss  0.867528, Time  0.421070
2021-09-12 07:26:57.291430 : Epoch  8, Batch   1011, Loss  0.892757, Average Loss  0.867697, Time  0.294708
2021-09-12 07:27:04.226699 : Epoch  8, Batch   1012, Loss  0.876609, Average Loss  0.867735, Time  0.340405
2021-09-12 07:27:12.260008 : Epoch  8, Batch   1013, Loss  0.826557, Average Loss  0.867639, Time  0.312140
2021-09-12 07:27:20.030190 : Epoch  8, Batch   1014, Loss  0.860197, Average Loss  0.867470, Time  0.305549
2021-09-12 07:27:29.430263 : Epoch  8, Batch   1015, Loss  0.879287, Average Loss  0.867543, Time  0.413880
2021-09-12 07:27:39.038901 : Epoch  8, Batch   1016, Loss  0.889307, Average Loss  0.867623, Time  0.430721
2021-09-12 07:27:47.829942 : Epoch  8, Batch   1017, Loss  0.874670, Average Loss  0.867563, Time  0.466966
2021-09-12 07:27:51.398703 : Epoch  8, Batch   1018, Loss  0.865885, Average Loss  0.867679, Time  0.266942
2021-09-12 07:28:01.131206 : Epoch  8, Batch   1019, Loss  0.867239, Average Loss  0.867738, Time  0.311852
2021-09-12 07:28:09.901895 : Epoch  8, Batch   1020, Loss  0.865609, Average Loss  0.867764, Time  0.258676
2021-09-12 07:28:20.474707 : Epoch  8, Batch   1021, Loss  0.871006, Average Loss  0.867785, Time  0.303789
2021-09-12 07:28:28.289665 : Epoch  8, Batch   1022, Loss  0.880289, Average Loss  0.867891, Time  0.313751
2021-09-12 07:28:37.677975 : Epoch  8, Batch   1023, Loss  0.876784, Average Loss  0.867978, Time  0.402617
2021-09-12 07:28:44.230713 : Epoch  8, Batch   1024, Loss  0.870314, Average Loss  0.868029, Time  0.345303
2021-09-12 07:28:51.111726 : Epoch  8, Batch   1025, Loss  0.860757, Average Loss  0.867925, Time  0.336425
2021-09-12 07:28:57.403963 : Epoch  8, Batch   1026, Loss  0.864662, Average Loss  0.867854, Time  0.321069
2021-09-12 07:29:05.616886 : Epoch  8, Batch   1027, Loss  0.873320, Average Loss  0.867766, Time  0.415254
2021-09-12 07:29:11.504740 : Epoch  8, Batch   1028, Loss  0.873922, Average Loss  0.867922, Time  0.375230
2021-09-12 07:29:20.440572 : Epoch  8, Batch   1029, Loss  0.878557, Average Loss  0.867887, Time  0.271967
2021-09-12 07:29:26.181245 : Epoch  8, Batch   1030, Loss  0.872753, Average Loss  0.867843, Time  0.330952
2021-09-12 07:29:34.079348 : Epoch  8, Batch   1031, Loss  0.863473, Average Loss  0.867886, Time  0.475011
2021-09-12 07:29:42.883990 : Epoch  8, Batch   1032, Loss  0.844566, Average Loss  0.867756, Time  0.318830
2021-09-12 07:29:51.564941 : Epoch  8, Batch   1033, Loss  0.859353, Average Loss  0.867830, Time  0.329533
2021-09-12 07:29:58.734890 : Epoch  8, Batch   1034, Loss  0.861484, Average Loss  0.867772, Time  0.340619
2021-09-12 07:30:06.795785 : Epoch  8, Batch   1035, Loss  0.868462, Average Loss  0.867826, Time  0.357282
2021-09-12 07:30:15.282676 : Epoch  8, Batch   1036, Loss  0.871161, Average Loss  0.867850, Time  0.348783
2021-09-12 07:30:20.980251 : Epoch  8, Batch   1037, Loss  0.867591, Average Loss  0.867873, Time  0.479355
2021-09-12 07:30:29.778822 : Epoch  8, Batch   1038, Loss  0.884483, Average Loss  0.867923, Time  0.288591
2021-09-12 07:30:38.732813 : Epoch  8, Batch   1039, Loss  0.857342, Average Loss  0.867959, Time  0.424004
2021-09-12 07:30:46.822292 : Epoch  8, Batch   1040, Loss  0.877004, Average Loss  0.868062, Time  0.350891
2021-09-12 07:30:54.492894 : Epoch  8, Batch   1041, Loss  0.898142, Average Loss  0.868194, Time  0.273223
2021-09-12 07:31:04.852798 : Epoch  8, Batch   1042, Loss  0.868666, Average Loss  0.868244, Time  0.363784
2021-09-12 07:31:09.944693 : Epoch  8, Batch   1043, Loss  0.876562, Average Loss  0.868319, Time  0.418691
2021-09-12 07:31:17.429144 : Epoch  8, Batch   1044, Loss  0.860260, Average Loss  0.868318, Time  0.324883
2021-09-12 07:31:25.234761 : Epoch  8, Batch   1045, Loss  0.892730, Average Loss  0.868528, Time  0.387492
2021-09-12 07:31:34.563706 : Epoch  8, Batch   1046, Loss  0.884083, Average Loss  0.868458, Time  0.346800
2021-09-12 07:31:41.969021 : Epoch  8, Batch   1047, Loss  0.874811, Average Loss  0.868435, Time  0.315732
2021-09-12 07:31:48.239892 : Epoch  8, Batch   1048, Loss  0.871839, Average Loss  0.868413, Time  0.332259
2021-09-12 07:31:53.324087 : Epoch  8, Batch   1049, Loss  0.852156, Average Loss  0.868341, Time  0.263250
2021-09-12 07:31:58.785724 : Epoch  8, Batch   1050, Loss  0.898049, Average Loss  0.868492, Time  0.293589
2021-09-12 07:32:07.087526 : Epoch  8, Batch   1051, Loss  0.857967, Average Loss  0.868515, Time  0.285392
2021-09-12 07:32:16.676094 : Epoch  8, Batch   1052, Loss  0.878395, Average Loss  0.868483, Time  0.366148
2021-09-12 07:32:22.758270 : Epoch  8, Batch   1053, Loss  0.893177, Average Loss  0.868578, Time  0.358973
2021-09-12 07:32:29.350189 : Epoch  8, Batch   1054, Loss  0.876523, Average Loss  0.868695, Time  0.317030
2021-09-12 07:32:36.456261 : Epoch  8, Batch   1055, Loss  0.856018, Average Loss  0.868617, Time  0.359037
2021-09-12 07:32:45.918390 : Epoch  8, Batch   1056, Loss  0.861321, Average Loss  0.868526, Time  0.527714
2021-09-12 07:32:49.318724 : Epoch  8, Batch   1057, Loss  0.880435, Average Loss  0.868678, Time  0.287421
2021-09-12 07:32:56.758574 : Epoch  8, Batch   1058, Loss  0.844598, Average Loss  0.868610, Time  0.384833
2021-09-12 07:33:02.103825 : Epoch  8, Batch   1059, Loss  0.868114, Average Loss  0.868651, Time  0.466068
2021-09-12 07:33:08.976973 : Epoch  8, Batch   1060, Loss  0.876538, Average Loss  0.868655, Time  0.338965
2021-09-12 07:33:16.207805 : Epoch  8, Batch   1061, Loss  0.847058, Average Loss  0.868617, Time  0.325011
2021-09-12 07:33:24.118963 : Epoch  8, Batch   1062, Loss  0.891543, Average Loss  0.868785, Time  0.308990
2021-09-12 07:33:33.666014 : Epoch  8, Batch   1063, Loss  0.876958, Average Loss  0.868823, Time  0.360611
2021-09-12 07:33:37.350889 : Epoch  8, Batch   1064, Loss  0.865931, Average Loss  0.868810, Time  0.260603
2021-09-12 07:33:39.980267 : Epoch  8, Batch   1065, Loss  0.867508, Average Loss  0.868862, Time  0.255299
2021-09-12 07:33:47.674143 : Epoch  8, Batch   1066, Loss  0.873612, Average Loss  0.868900, Time  0.366345
2021-09-12 07:33:54.583413 : Epoch  8, Batch   1067, Loss  0.881382, Average Loss  0.868913, Time  0.242213
2021-09-12 07:34:03.046373 : Epoch  8, Batch   1068, Loss  0.866382, Average Loss  0.868921, Time  0.370569
2021-09-12 07:34:12.550884 : Epoch  8, Batch   1069, Loss  0.869492, Average Loss  0.868863, Time  0.353676
2021-09-12 07:34:23.190458 : Epoch  8, Batch   1070, Loss  0.868187, Average Loss  0.868772, Time  0.469181
2021-09-12 07:34:32.852345 : Epoch  8, Batch   1071, Loss  0.867905, Average Loss  0.868750, Time  0.467050
2021-09-12 07:34:41.944416 : Epoch  8, Batch   1072, Loss  0.871069, Average Loss  0.868735, Time  0.269065
2021-09-12 07:34:49.514062 : Epoch  8, Batch   1073, Loss  0.851239, Average Loss  0.868671, Time  0.501395
2021-09-12 07:34:58.024624 : Epoch  8, Batch   1074, Loss  0.871021, Average Loss  0.868677, Time  0.592268
2021-09-12 07:35:06.025134 : Epoch  8, Batch   1075, Loss  0.889049, Average Loss  0.868841, Time  0.254235
2021-09-12 07:35:13.463877 : Epoch  8, Batch   1076, Loss  0.869613, Average Loss  0.868850, Time  0.236417
2021-09-12 07:35:22.036442 : Epoch  8, Batch   1077, Loss  0.865740, Average Loss  0.868741, Time  0.412886
2021-09-12 07:35:30.086764 : Epoch  8, Batch   1078, Loss  0.845736, Average Loss  0.868574, Time  0.415618
2021-09-12 07:35:38.218949 : Epoch  8, Batch   1079, Loss  0.878463, Average Loss  0.868649, Time  0.318279
2021-09-12 07:35:43.159713 : Epoch  8, Batch   1080, Loss  0.856219, Average Loss  0.868695, Time  0.317348
2021-09-12 07:35:50.455232 : Epoch  8, Batch   1081, Loss  0.852688, Average Loss  0.868517, Time  0.303552
2021-09-12 07:35:57.290945 : Epoch  8, Batch   1082, Loss  0.870852, Average Loss  0.868566, Time  0.545870
2021-09-12 07:36:05.551668 : Epoch  8, Batch   1083, Loss  0.844218, Average Loss  0.868293, Time  0.312010
2021-09-12 07:36:13.262995 : Epoch  8, Batch   1084, Loss  0.885359, Average Loss  0.868288, Time  0.323766
2021-09-12 07:36:20.761380 : Epoch  8, Batch   1085, Loss  0.867004, Average Loss  0.868332, Time  0.243001
2021-09-12 07:36:28.505063 : Epoch  8, Batch   1086, Loss  0.865336, Average Loss  0.868354, Time  0.245685
2021-09-12 07:36:35.670109 : Epoch  8, Batch   1087, Loss  0.856127, Average Loss  0.868242, Time  0.281530
2021-09-12 07:36:38.577966 : Epoch  8, Batch   1088, Loss  0.848588, Average Loss  0.868148, Time  0.258307
2021-09-12 07:36:42.118112 : Epoch  8, Batch   1089, Loss  0.862905, Average Loss  0.868128, Time  0.266938
2021-09-12 07:36:44.921436 : Epoch  8, Batch   1090, Loss  0.878947, Average Loss  0.868186, Time  0.304088
2021-09-12 07:36:47.897865 : Epoch  8, Batch   1091, Loss  0.865339, Average Loss  0.868131, Time  0.382519
2021-09-12 07:36:54.433079 : Epoch  8, Batch   1092, Loss  0.862013, Average Loss  0.868187, Time  0.357173
2021-09-12 07:37:01.933721 : Epoch  8, Batch   1093, Loss  0.876299, Average Loss  0.868185, Time  0.290750
2021-09-12 07:37:06.946406 : Epoch  8, Batch   1094, Loss  0.890524, Average Loss  0.868274, Time  0.357377
2021-09-12 07:37:14.128983 : Epoch  8, Batch   1095, Loss  0.877476, Average Loss  0.868417, Time  0.402040
2021-09-12 07:37:20.431009 : Epoch  8, Batch   1096, Loss  0.872228, Average Loss  0.868349, Time  0.424000
2021-09-12 07:37:30.149052 : Epoch  8, Batch   1097, Loss  0.861527, Average Loss  0.868380, Time  0.462173
2021-09-12 07:37:38.311966 : Epoch  8, Batch   1098, Loss  0.873240, Average Loss  0.868506, Time  0.482773
2021-09-12 07:37:45.399787 : Epoch  8, Batch   1099, Loss  0.852250, Average Loss  0.868433, Time  0.386750
2021-09-12 07:37:54.356163 : Epoch  8, Batch   1100, Loss  0.869840, Average Loss  0.868480, Time  0.340267
2021-09-12 07:38:02.057360 : Epoch  8, Batch   1101, Loss  0.864782, Average Loss  0.868475, Time  0.270475
2021-09-12 07:38:04.877996 : Epoch  8, Batch   1102, Loss  0.857349, Average Loss  0.868396, Time  0.237115
2021-09-12 07:38:13.029730 : Epoch  8, Batch   1103, Loss  0.871765, Average Loss  0.868291, Time  0.429904
2021-09-12 07:38:16.395952 : Epoch  8, Batch   1104, Loss  0.876802, Average Loss  0.868284, Time  0.257053
2021-09-12 07:38:22.572107 : Epoch  8, Batch   1105, Loss  0.866684, Average Loss  0.868264, Time  0.296799
2021-09-12 07:38:30.381677 : Epoch  8, Batch   1106, Loss  0.878002, Average Loss  0.868283, Time  0.284923
2021-09-12 07:38:34.173117 : Epoch  8, Batch   1107, Loss  0.856214, Average Loss  0.868290, Time  0.296649
2021-09-12 07:38:41.592060 : Epoch  8, Batch   1108, Loss  0.864841, Average Loss  0.868352, Time  0.292754
2021-09-12 07:51:29.169454 : CheckPoint: Validation Loss  0.00030460, Best Loss  0.00029019
2021-09-12 07:51:35.499610 : Epoch  8, Batch   1109, Loss  0.881656, Average Loss  0.868399, Time  0.392446
2021-09-12 07:51:43.988666 : Epoch  8, Batch   1110, Loss  0.879061, Average Loss  0.868442, Time  0.466509
2021-09-12 07:51:46.971288 : Epoch  8, Batch   1111, Loss  0.859566, Average Loss  0.868473, Time  0.237167
2021-09-12 07:51:56.530017 : Epoch  8, Batch   1112, Loss  0.877751, Average Loss  0.868433, Time  0.521230
2021-09-12 07:52:02.413925 : Epoch  8, Batch   1113, Loss  0.865621, Average Loss  0.868339, Time  0.251783
2021-09-12 07:52:07.590634 : Epoch  8, Batch   1114, Loss  0.850805, Average Loss  0.868273, Time  0.334716
2021-09-12 07:52:15.714159 : Epoch  8, Batch   1115, Loss  0.856437, Average Loss  0.868213, Time  0.327308
2021-09-12 07:52:22.922478 : Epoch  8, Batch   1116, Loss  0.870477, Average Loss  0.868190, Time  0.328069
2021-09-12 07:52:32.165467 : Epoch  8, Batch   1117, Loss  0.910631, Average Loss  0.868299, Time  0.373771
2021-09-12 07:52:41.663796 : Epoch  8, Batch   1118, Loss  0.863044, Average Loss  0.868230, Time  0.327807
2021-09-12 07:52:50.189285 : Epoch  8, Batch   1119, Loss  0.865741, Average Loss  0.868244, Time  0.443271
2021-09-12 07:52:57.961450 : Epoch  8, Batch   1120, Loss  0.855819, Average Loss  0.868187, Time  0.422639
2021-09-12 07:53:02.626248 : Epoch  8, Batch   1121, Loss  0.890702, Average Loss  0.868367, Time  0.504930
2021-09-12 07:53:05.197875 : Epoch  8, Batch   1122, Loss  0.868625, Average Loss  0.868401, Time  0.272732
2021-09-12 07:53:12.354937 : Epoch  8, Batch   1123, Loss  0.873533, Average Loss  0.868447, Time  0.448925
2021-09-12 07:53:17.931936 : Epoch  8, Batch   1124, Loss  0.860480, Average Loss  0.868429, Time  0.271106
2021-09-12 07:53:25.421308 : Epoch  8, Batch   1125, Loss  0.850095, Average Loss  0.868369, Time  0.523952
2021-09-12 07:53:32.985567 : Epoch  8, Batch   1126, Loss  0.864207, Average Loss  0.868396, Time  0.446548
2021-09-12 07:53:40.079264 : Epoch  8, Batch   1127, Loss  0.883279, Average Loss  0.868346, Time  0.325911
2021-09-12 07:53:48.368738 : Epoch  8, Batch   1128, Loss  0.864215, Average Loss  0.868326, Time  0.291337
2021-09-12 07:53:55.628028 : Epoch  8, Batch   1129, Loss  0.868486, Average Loss  0.868321, Time  0.307141
2021-09-12 07:54:04.753998 : Epoch  8, Batch   1130, Loss  0.868404, Average Loss  0.868333, Time  0.414527
2021-09-12 07:54:13.301342 : Epoch  8, Batch   1131, Loss  0.872559, Average Loss  0.868449, Time  0.306908
2021-09-12 07:54:22.088665 : Epoch  8, Batch   1132, Loss  0.883896, Average Loss  0.868549, Time  0.411642
2021-09-12 07:54:31.356173 : Epoch  8, Batch   1133, Loss  0.852061, Average Loss  0.868520, Time  0.430765
2021-09-12 07:54:34.332853 : Epoch  8, Batch   1134, Loss  0.862145, Average Loss  0.868477, Time  0.391233
2021-09-12 07:54:41.175211 : Epoch  8, Batch   1135, Loss  0.870404, Average Loss  0.868521, Time  0.270504
2021-09-12 07:54:49.678505 : Epoch  8, Batch   1136, Loss  0.883795, Average Loss  0.868596, Time  0.559870
2021-09-12 07:54:57.747420 : Epoch  8, Batch   1137, Loss  0.871909, Average Loss  0.868543, Time  0.278412
2021-09-12 07:55:03.291946 : Epoch  8, Batch   1138, Loss  0.885522, Average Loss  0.868751, Time  0.443677
2021-09-12 07:55:11.450250 : Epoch  8, Batch   1139, Loss  0.889986, Average Loss  0.868801, Time  0.366662
2021-09-12 07:55:19.466626 : Epoch  8, Batch   1140, Loss  0.866180, Average Loss  0.868852, Time  0.356008
2021-09-12 07:55:24.789982 : Epoch  8, Batch   1141, Loss  0.872854, Average Loss  0.868947, Time  0.316263
2021-09-12 07:55:32.967510 : Epoch  8, Batch   1142, Loss  0.851667, Average Loss  0.868884, Time  0.395290
2021-09-12 07:55:41.221764 : Epoch  8, Batch   1143, Loss  0.867228, Average Loss  0.868949, Time  0.338114
2021-09-12 07:55:49.152735 : Epoch  8, Batch   1144, Loss  0.870604, Average Loss  0.869016, Time  0.394182
2021-09-12 07:55:55.659251 : Epoch  8, Batch   1145, Loss  0.863424, Average Loss  0.868953, Time  0.243127
2021-09-12 07:56:04.580980 : Epoch  8, Batch   1146, Loss  0.863203, Average Loss  0.868967, Time  0.371469
2021-09-12 07:56:11.254701 : Epoch  8, Batch   1147, Loss  0.872324, Average Loss  0.868991, Time  0.409181
2021-09-12 07:56:21.062267 : Epoch  8, Batch   1148, Loss  0.863007, Average Loss  0.868901, Time  0.379297
2021-09-12 07:56:25.368723 : Epoch  8, Batch   1149, Loss  0.854433, Average Loss  0.868924, Time  0.347983
2021-09-12 07:56:32.624044 : Epoch  8, Batch   1150, Loss  0.848517, Average Loss  0.868799, Time  0.282254
2021-09-12 07:56:42.386455 : Epoch  8, Batch   1151, Loss  0.869601, Average Loss  0.868773, Time  0.261850
2021-09-12 07:56:51.136922 : Epoch  8, Batch   1152, Loss  0.857982, Average Loss  0.868642, Time  0.437675
2021-09-12 07:56:57.267395 : Epoch  8, Batch   1153, Loss  0.836486, Average Loss  0.868550, Time  0.391793
2021-09-12 07:57:06.622675 : Epoch  8, Batch   1154, Loss  0.890545, Average Loss  0.868668, Time  0.381618
2021-09-12 07:57:15.211395 : Epoch  8, Batch   1155, Loss  0.871724, Average Loss  0.868685, Time  0.462874
2021-09-12 07:57:24.175557 : Epoch  8, Batch   1156, Loss  0.871103, Average Loss  0.868634, Time  0.321784
2021-09-12 07:57:30.462387 : Epoch  8, Batch   1157, Loss  0.855261, Average Loss  0.868591, Time  0.424496
2021-09-12 07:57:38.536903 : Epoch  8, Batch   1158, Loss  0.903698, Average Loss  0.868696, Time  0.419730
2021-09-12 07:57:43.385762 : Epoch  8, Batch   1159, Loss  0.878418, Average Loss  0.868762, Time  0.253876
2021-09-12 07:57:51.227995 : Epoch  8, Batch   1160, Loss  0.842678, Average Loss  0.868605, Time  0.349722
2021-09-12 07:57:53.888727 : Epoch  8, Batch   1161, Loss  0.866534, Average Loss  0.868479, Time  0.284358
2021-09-12 07:58:02.299666 : Epoch  8, Batch   1162, Loss  0.879741, Average Loss  0.868526, Time  0.448716
2021-09-12 07:58:09.435955 : Epoch  8, Batch   1163, Loss  0.871705, Average Loss  0.868491, Time  0.357818
2021-09-12 07:58:17.896124 : Epoch  8, Batch   1164, Loss  0.874953, Average Loss  0.868521, Time  0.511372
2021-09-12 07:58:24.704106 : Epoch  8, Batch   1165, Loss  0.859540, Average Loss  0.868524, Time  0.355189
2021-09-12 07:58:32.310424 : Epoch  8, Batch   1166, Loss  0.867458, Average Loss  0.868507, Time  0.441601
2021-09-12 07:58:40.371671 : Epoch  8, Batch   1167, Loss  0.874424, Average Loss  0.868584, Time  0.374907
2021-09-12 07:58:48.853953 : Epoch  8, Batch   1168, Loss  0.872186, Average Loss  0.868550, Time  0.408085
2021-09-12 07:58:57.766361 : Epoch  8, Batch   1169, Loss  0.875114, Average Loss  0.868521, Time  0.417169
2021-09-12 07:59:04.682434 : Epoch  8, Batch   1170, Loss  0.871121, Average Loss  0.868526, Time  0.590148
2021-09-12 07:59:11.434699 : Epoch  8, Batch   1171, Loss  0.865784, Average Loss  0.868595, Time  0.323591
2021-09-12 07:59:20.630970 : Epoch  8, Batch   1172, Loss  0.876196, Average Loss  0.868713, Time  0.339517
2021-09-12 07:59:26.805256 : Epoch  8, Batch   1173, Loss  0.869828, Average Loss  0.868718, Time  0.423781
2021-09-12 07:59:33.608671 : Epoch  8, Batch   1174, Loss  0.850409, Average Loss  0.868663, Time  0.308898
2021-09-12 07:59:41.554767 : Epoch  8, Batch   1175, Loss  0.882635, Average Loss  0.868652, Time  0.462546
2021-09-12 07:59:46.036918 : Epoch  8, Batch   1176, Loss  0.876703, Average Loss  0.868700, Time  0.292226
2021-09-12 07:59:51.393204 : Epoch  8, Batch   1177, Loss  0.877337, Average Loss  0.868667, Time  0.339032
2021-09-12 07:59:56.232968 : Epoch  8, Batch   1178, Loss  0.872993, Average Loss  0.868683, Time  0.359576
2021-09-12 08:00:04.191728 : Epoch  8, Batch   1179, Loss  0.871492, Average Loss  0.868688, Time  0.408713
2021-09-12 08:00:10.455962 : Epoch  8, Batch   1180, Loss  0.869471, Average Loss  0.868794, Time  0.236831
2021-09-12 08:00:16.308220 : Epoch  8, Batch   1181, Loss  0.898972, Average Loss  0.869015, Time  0.423290
2021-09-12 08:00:19.214324 : Epoch  8, Batch   1182, Loss  0.866414, Average Loss  0.869077, Time  0.255208
2021-09-12 08:00:28.046740 : Epoch  8, Batch   1183, Loss  0.867991, Average Loss  0.868980, Time  0.279285
2021-09-12 08:00:36.452942 : Epoch  8, Batch   1184, Loss  0.877149, Average Loss  0.869191, Time  0.271921
2021-09-12 08:00:42.926218 : Epoch  8, Batch   1185, Loss  0.870663, Average Loss  0.869225, Time  0.348371
2021-09-12 08:00:51.571027 : Epoch  8, Batch   1186, Loss  0.863760, Average Loss  0.869160, Time  0.336629
2021-09-12 08:00:59.113711 : Epoch  8, Batch   1187, Loss  0.849612, Average Loss  0.868992, Time  0.423963
2021-09-12 08:01:04.319025 : Epoch  8, Batch   1188, Loss  0.880613, Average Loss  0.869132, Time  0.450480
2021-09-12 08:01:10.494707 : Epoch  8, Batch   1189, Loss  0.870812, Average Loss  0.869268, Time  0.289231
2021-09-12 08:01:17.161930 : Epoch  8, Batch   1190, Loss  0.881869, Average Loss  0.869382, Time  0.277276
2021-09-12 08:01:24.387873 : Epoch  8, Batch   1191, Loss  0.864461, Average Loss  0.869366, Time  0.279314
2021-09-12 08:01:32.996674 : Epoch  8, Batch   1192, Loss  0.879992, Average Loss  0.869539, Time  0.492860
2021-09-12 08:01:42.144347 : Epoch  8, Batch   1193, Loss  0.853963, Average Loss  0.869491, Time  0.412679
2021-09-12 08:01:51.541147 : Epoch  8, Batch   1194, Loss  0.890743, Average Loss  0.869680, Time  0.400784
2021-09-12 08:01:59.354942 : Epoch  8, Batch   1195, Loss  0.888024, Average Loss  0.869738, Time  0.406009
2021-09-12 08:02:05.097991 : Epoch  8, Batch   1196, Loss  0.857576, Average Loss  0.869739, Time  0.347157
2021-09-12 08:02:13.733267 : Epoch  8, Batch   1197, Loss  0.881876, Average Loss  0.869781, Time  0.271690
2021-09-12 08:02:20.852231 : Epoch  8, Batch   1198, Loss  0.857474, Average Loss  0.869774, Time  0.244353
2021-09-12 08:02:29.309316 : Epoch  8, Batch   1199, Loss  0.878019, Average Loss  0.869819, Time  0.518697
2021-09-12 08:02:35.447529 : Epoch  8, Batch   1200, Loss  0.872797, Average Loss  0.869953, Time  0.237173
2021-09-12 08:02:42.450655 : Epoch  8, Batch   1201, Loss  0.855206, Average Loss  0.869821, Time  0.386418
2021-09-12 08:02:49.282974 : Epoch  8, Batch   1202, Loss  0.869206, Average Loss  0.869766, Time  0.338444
2021-09-12 08:02:56.374677 : Epoch  8, Batch   1203, Loss  0.887887, Average Loss  0.869822, Time  0.313170
2021-09-12 08:03:03.594871 : Epoch  8, Batch   1204, Loss  0.880286, Average Loss  0.869827, Time  0.429289
2021-09-12 08:03:10.823703 : Epoch  8, Batch   1205, Loss  0.877834, Average Loss  0.869799, Time  0.386978
2021-09-12 08:03:20.015690 : Epoch  8, Batch   1206, Loss  0.885350, Average Loss  0.869879, Time  0.289744
2021-09-12 08:03:29.715971 : Epoch  8, Batch   1207, Loss  0.869148, Average Loss  0.869935, Time  0.473005
2021-09-12 08:03:40.442218 : Epoch  8, Batch   1208, Loss  0.859386, Average Loss  0.869851, Time  0.274200
2021-09-12 08:15:20.456860 : CheckPoint: Validation Loss  0.00031267, Best Loss  0.00029019
2021-09-12 08:15:27.782054 : Epoch  8, Batch   1209, Loss  0.866510, Average Loss  0.869789, Time  0.474040
2021-09-12 08:15:33.064399 : Epoch  8, Batch   1210, Loss  0.873893, Average Loss  0.869820, Time  0.308623
2021-09-12 08:15:36.944674 : Epoch  8, Batch   1211, Loss  0.853655, Average Loss  0.869625, Time  0.270728
2021-09-12 08:15:45.534952 : Epoch  8, Batch   1212, Loss  0.859066, Average Loss  0.869537, Time  0.452167
2021-09-12 08:15:52.744813 : Epoch  8, Batch   1213, Loss  0.871493, Average Loss  0.869762, Time  0.317695
2021-09-12 08:16:01.325662 : Epoch  8, Batch   1214, Loss  0.876539, Average Loss  0.869843, Time  0.458695
2021-09-12 08:16:08.409025 : Epoch  8, Batch   1215, Loss  0.855832, Average Loss  0.869726, Time  0.422942
2021-09-12 08:16:16.884983 : Epoch  8, Batch   1216, Loss  0.885606, Average Loss  0.869708, Time  0.482281
2021-09-12 08:16:22.727762 : Epoch  8, Batch   1217, Loss  0.866790, Average Loss  0.869668, Time  0.398969
2021-09-12 08:16:32.161451 : Epoch  8, Batch   1218, Loss  0.875397, Average Loss  0.869716, Time  0.383000
2021-09-12 08:16:39.983987 : Epoch  8, Batch   1219, Loss  0.870843, Average Loss  0.869734, Time  0.525214
2021-09-12 08:16:48.971633 : Epoch  8, Batch   1220, Loss  0.878051, Average Loss  0.869796, Time  0.294898
2021-09-12 08:16:55.183331 : Epoch  8, Batch   1221, Loss  0.832142, Average Loss  0.869602, Time  0.357606
2021-09-12 08:17:02.322649 : Epoch  8, Batch   1222, Loss  0.901037, Average Loss  0.869705, Time  0.338319
2021-09-12 08:17:08.352009 : Epoch  8, Batch   1223, Loss  0.868032, Average Loss  0.869662, Time  0.246542
2021-09-12 08:17:18.411121 : Epoch  8, Batch   1224, Loss  0.864704, Average Loss  0.869634, Time  0.369989
2021-09-12 08:17:27.259993 : Epoch  8, Batch   1225, Loss  0.859836, Average Loss  0.869629, Time  0.540805
2021-09-12 08:17:37.464618 : Epoch  8, Batch   1226, Loss  0.876967, Average Loss  0.869691, Time  0.479099
2021-09-12 08:17:47.228826 : Epoch  8, Batch   1227, Loss  0.865205, Average Loss  0.869650, Time  0.342190
2021-09-12 08:17:55.809880 : Epoch  8, Batch   1228, Loss  0.873016, Average Loss  0.869645, Time  0.346147
2021-09-12 08:18:03.764250 : Epoch  8, Batch   1229, Loss  0.864152, Average Loss  0.869573, Time  0.292731
2021-09-12 08:18:09.720272 : Epoch  8, Batch   1230, Loss  0.867447, Average Loss  0.869547, Time  0.306391
2021-09-12 08:18:17.238122 : Epoch  8, Batch   1231, Loss  0.868650, Average Loss  0.869573, Time  0.484614
2021-09-12 08:18:24.467274 : Epoch  8, Batch   1232, Loss  0.890912, Average Loss  0.869804, Time  0.366032
2021-09-12 08:18:32.591085 : Epoch  8, Batch   1233, Loss  0.873493, Average Loss  0.869875, Time  0.493000
2021-09-12 08:18:39.102155 : Epoch  8, Batch   1234, Loss  0.861952, Average Loss  0.869878, Time  0.460327
2021-09-12 08:18:47.782678 : Epoch  8, Batch   1235, Loss  0.863411, Average Loss  0.869852, Time  0.311290
2021-09-12 08:18:57.227672 : Epoch  8, Batch   1236, Loss  0.872279, Average Loss  0.869858, Time  0.441744
2021-09-12 08:19:06.015052 : Epoch  8, Batch   1237, Loss  0.851435, Average Loss  0.869777, Time  0.330758
2021-09-12 08:19:12.485126 : Epoch  8, Batch   1238, Loss  0.883536, Average Loss  0.869772, Time  0.353347
2021-09-12 08:19:20.628774 : Epoch  8, Batch   1239, Loss  0.843768, Average Loss  0.869704, Time  0.404110
2021-09-12 08:19:26.796113 : Epoch  8, Batch   1240, Loss  0.869839, Average Loss  0.869669, Time  0.325583
2021-09-12 08:19:36.415687 : Epoch  8, Batch   1241, Loss  0.862661, Average Loss  0.869491, Time  0.291378
2021-09-12 08:19:46.496665 : Epoch  8, Batch   1242, Loss  0.883440, Average Loss  0.869565, Time  0.351967
2021-09-12 08:19:54.332252 : Epoch  8, Batch   1243, Loss  0.852156, Average Loss  0.869443, Time  0.474826
2021-09-12 08:20:01.828030 : Epoch  8, Batch   1244, Loss  0.862547, Average Loss  0.869455, Time  0.535666
2021-09-12 08:20:08.556742 : Epoch  8, Batch   1245, Loss  0.871696, Average Loss  0.869349, Time  0.375947
2021-09-12 08:20:17.079795 : Epoch  8, Batch   1246, Loss  0.875178, Average Loss  0.869305, Time  0.419265
2021-09-12 08:20:26.392672 : Epoch  8, Batch   1247, Loss  0.892397, Average Loss  0.869393, Time  0.369070
2021-09-12 08:20:33.370229 : Epoch  8, Batch   1248, Loss  0.909032, Average Loss  0.869579, Time  0.452502
2021-09-12 08:20:44.279078 : Epoch  8, Batch   1249, Loss  0.865723, Average Loss  0.869647, Time  0.281996
2021-09-12 08:20:48.858407 : Epoch  8, Batch   1250, Loss  0.852489, Average Loss  0.869419, Time  0.373192
2021-09-12 08:20:58.325238 : Epoch  8, Batch   1251, Loss  0.892871, Average Loss  0.869593, Time  0.352211
2021-09-12 08:21:06.503775 : Epoch  8, Batch   1252, Loss  0.881738, Average Loss  0.869610, Time  0.285504
2021-09-12 08:21:14.962191 : Epoch  8, Batch   1253, Loss  0.869421, Average Loss  0.869491, Time  0.451426
2021-09-12 08:21:23.290950 : Epoch  8, Batch   1254, Loss  0.867368, Average Loss  0.869445, Time  0.512467
2021-09-12 08:21:32.655777 : Epoch  8, Batch   1255, Loss  0.890214, Average Loss  0.869616, Time  0.404664
2021-09-12 08:21:38.704743 : Epoch  8, Batch   1256, Loss  0.860740, Average Loss  0.869614, Time  0.409414
2021-09-12 08:21:46.120019 : Epoch  8, Batch   1257, Loss  0.871684, Average Loss  0.869570, Time  0.373915
2021-09-12 08:21:53.606971 : Epoch  8, Batch   1258, Loss  0.874657, Average Loss  0.869720, Time  0.420661
2021-09-12 08:21:57.764684 : Epoch  8, Batch   1259, Loss  0.852033, Average Loss  0.869640, Time  0.336313
2021-09-12 08:22:00.654345 : Epoch  8, Batch   1260, Loss  0.866416, Average Loss  0.869589, Time  0.349505
2021-09-12 08:22:09.829699 : Epoch  8, Batch   1261, Loss  0.866594, Average Loss  0.869687, Time  0.444991
2021-09-12 08:22:17.631816 : Epoch  8, Batch   1262, Loss  0.881091, Average Loss  0.869634, Time  0.240563
2021-09-12 08:22:26.118685 : Epoch  8, Batch   1263, Loss  0.856768, Average Loss  0.869534, Time  0.341815
2021-09-12 08:22:33.382666 : Epoch  8, Batch   1264, Loss  0.871491, Average Loss  0.869561, Time  0.427319
2021-09-12 08:22:40.409075 : Epoch  8, Batch   1265, Loss  0.854338, Average Loss  0.869495, Time  0.360787
2021-09-12 08:22:46.440354 : Epoch  8, Batch   1266, Loss  0.856675, Average Loss  0.869411, Time  0.409725
2021-09-12 08:22:55.962923 : Epoch  8, Batch   1267, Loss  0.875884, Average Loss  0.869383, Time  0.412427
2021-09-12 08:23:04.134169 : Epoch  8, Batch   1268, Loss  0.875979, Average Loss  0.869431, Time  0.404267
2021-09-12 08:23:07.257395 : Epoch  8, Batch   1269, Loss  0.869296, Average Loss  0.869430, Time  0.254748
2021-09-12 08:23:13.888628 : Epoch  8, Batch   1270, Loss  0.880316, Average Loss  0.869491, Time  0.260395
2021-09-12 08:23:19.066416 : Epoch  8, Batch   1271, Loss  0.857550, Average Loss  0.869439, Time  0.296745
2021-09-12 08:23:28.274420 : Epoch  8, Batch   1272, Loss  0.892014, Average Loss  0.869544, Time  0.400880
2021-09-12 08:23:35.861497 : Epoch  8, Batch   1273, Loss  0.864628, Average Loss  0.869611, Time  0.354280
2021-09-12 08:23:45.234746 : Epoch  8, Batch   1274, Loss  0.901345, Average Loss  0.869762, Time  0.361188
2021-09-12 08:23:53.453369 : Epoch  8, Batch   1275, Loss  0.899587, Average Loss  0.869815, Time  0.403224
2021-09-12 08:23:59.731777 : Epoch  8, Batch   1276, Loss  0.852259, Average Loss  0.869728, Time  0.375375
2021-09-12 08:24:09.764229 : Epoch  8, Batch   1277, Loss  0.877738, Average Loss  0.869788, Time  0.383128
2021-09-12 08:24:15.641779 : Epoch  8, Batch   1278, Loss  0.873012, Average Loss  0.869925, Time  0.330683
2021-09-12 08:24:21.788028 : Epoch  8, Batch   1279, Loss  0.849384, Average Loss  0.869779, Time  0.310206
2021-09-12 08:24:29.256709 : Epoch  8, Batch   1280, Loss  0.860585, Average Loss  0.869801, Time  0.313425
2021-09-12 08:24:37.269100 : Epoch  8, Batch   1281, Loss  0.871616, Average Loss  0.869896, Time  0.351475
2021-09-12 08:24:46.882875 : Epoch  8, Batch   1282, Loss  0.871644, Average Loss  0.869900, Time  0.452036
2021-09-12 08:24:55.733481 : Epoch  8, Batch   1283, Loss  0.873618, Average Loss  0.870047, Time  0.454992
2021-09-12 08:25:01.842005 : Epoch  8, Batch   1284, Loss  0.864744, Average Loss  0.869944, Time  0.327432
2021-09-12 08:25:09.846733 : Epoch  8, Batch   1285, Loss  0.849546, Average Loss  0.869856, Time  0.330353
2021-09-12 08:25:19.544287 : Epoch  8, Batch   1286, Loss  0.876549, Average Loss  0.869913, Time  0.367924
2021-09-12 08:25:26.757116 : Epoch  8, Batch   1287, Loss  0.855130, Average Loss  0.869908, Time  0.310258
2021-09-12 08:25:35.422533 : Epoch  8, Batch   1288, Loss  0.849355, Average Loss  0.869911, Time  0.422930
2021-09-12 08:25:42.593829 : Epoch  8, Batch   1289, Loss  0.848904, Average Loss  0.869841, Time  0.367793
2021-09-12 08:25:51.290752 : Epoch  8, Batch   1290, Loss  0.868737, Average Loss  0.869790, Time  0.443851
2021-09-12 08:26:01.407019 : Epoch  8, Batch   1291, Loss  0.855789, Average Loss  0.869743, Time  0.257405
2021-09-12 08:26:10.642794 : Epoch  8, Batch   1292, Loss  0.847176, Average Loss  0.869668, Time  0.543911
2021-09-12 08:26:18.750710 : Epoch  8, Batch   1293, Loss  0.869163, Average Loss  0.869633, Time  0.319900
2021-09-12 08:26:28.172380 : Epoch  8, Batch   1294, Loss  0.885491, Average Loss  0.869608, Time  0.356648
2021-09-12 08:26:35.921512 : Epoch  8, Batch   1295, Loss  0.864368, Average Loss  0.869542, Time  0.351704
2021-09-12 08:26:44.302967 : Epoch  8, Batch   1296, Loss  0.866095, Average Loss  0.869511, Time  0.316000
2021-09-12 08:26:54.053947 : Epoch  8, Batch   1297, Loss  0.888151, Average Loss  0.869644, Time  0.494480
2021-09-12 08:26:59.122300 : Epoch  8, Batch   1298, Loss  0.850358, Average Loss  0.869530, Time  0.528082
2021-09-12 08:27:07.829959 : Epoch  8, Batch   1299, Loss  0.872739, Average Loss  0.869632, Time  0.425833
2021-09-12 08:27:15.716800 : Epoch  8, Batch   1300, Loss  0.862827, Average Loss  0.869597, Time  0.389398
2021-09-12 08:27:23.441063 : Epoch  8, Batch   1301, Loss  0.884712, Average Loss  0.869697, Time  0.237164
2021-09-12 08:27:29.524680 : Epoch  8, Batch   1302, Loss  0.870577, Average Loss  0.869763, Time  0.311433
2021-09-12 08:27:36.945907 : Epoch  8, Batch   1303, Loss  0.864074, Average Loss  0.869725, Time  0.522645
2021-09-12 08:27:47.262346 : Epoch  8, Batch   1304, Loss  0.886915, Average Loss  0.869775, Time  0.648889
2021-09-12 08:27:54.216712 : Epoch  8, Batch   1305, Loss  0.880977, Average Loss  0.869847, Time  0.306700
2021-09-12 08:28:00.059441 : Epoch  8, Batch   1306, Loss  0.869065, Average Loss  0.869802, Time  0.292043
2021-09-12 08:28:09.992220 : Epoch  8, Batch   1307, Loss  0.872256, Average Loss  0.869882, Time  0.396483
2021-09-12 08:28:14.750953 : Epoch  8, Batch   1308, Loss  0.858222, Average Loss  0.869849, Time  0.280881
2021-09-12 08:40:00.820778 : CheckPoint: Validation Loss  0.00030272, Best Loss  0.00029019
2021-09-12 08:40:08.610460 : Epoch  8, Batch   1309, Loss  0.855484, Average Loss  0.869718, Time  0.436143
2021-09-12 08:40:16.139050 : Epoch  8, Batch   1310, Loss  0.864816, Average Loss  0.869647, Time  0.371729
2021-09-12 08:40:26.188199 : Epoch  8, Batch   1311, Loss  0.845674, Average Loss  0.869578, Time  0.323245
2021-09-12 08:40:33.916944 : Epoch  8, Batch   1312, Loss  0.885579, Average Loss  0.869617, Time  0.276134
2021-09-12 08:40:43.686280 : Epoch  8, Batch   1313, Loss  0.880080, Average Loss  0.869689, Time  0.277346
2021-09-12 08:40:49.849936 : Epoch  8, Batch   1314, Loss  0.875514, Average Loss  0.869813, Time  0.311227
2021-09-12 08:40:59.883019 : Epoch  8, Batch   1315, Loss  0.862305, Average Loss  0.869842, Time  0.471191
2021-09-12 08:41:07.256978 : Epoch  8, Batch   1316, Loss  0.872753, Average Loss  0.869853, Time  0.288975
2021-09-12 08:41:14.672462 : Epoch  8, Batch   1317, Loss  0.883147, Average Loss  0.869716, Time  0.288909
2021-09-12 08:41:19.220697 : Epoch  8, Batch   1318, Loss  0.854377, Average Loss  0.869673, Time  0.376247
2021-09-12 08:41:26.489681 : Epoch  8, Batch   1319, Loss  0.844166, Average Loss  0.869565, Time  0.333407
2021-09-12 08:41:34.634052 : Epoch  8, Batch   1320, Loss  0.870482, Average Loss  0.869638, Time  0.356749
2021-09-12 08:41:42.598541 : Epoch  8, Batch   1321, Loss  0.851158, Average Loss  0.869440, Time  0.325910
2021-09-12 08:41:50.435377 : Epoch  8, Batch   1322, Loss  0.892459, Average Loss  0.869559, Time  0.264236
2021-09-12 08:41:54.100071 : Epoch  8, Batch   1323, Loss  0.867269, Average Loss  0.869528, Time  0.272806
2021-09-12 08:42:00.147710 : Epoch  8, Batch   1324, Loss  0.877031, Average Loss  0.869611, Time  0.240023
2021-09-12 08:42:03.510927 : Epoch  8, Batch   1325, Loss  0.838200, Average Loss  0.869551, Time  0.389273
2021-09-12 08:42:08.281010 : Epoch  8, Batch   1326, Loss  0.859359, Average Loss  0.869527, Time  0.443424
2021-09-12 08:42:15.667247 : Epoch  8, Batch   1327, Loss  0.864188, Average Loss  0.869432, Time  0.462004
2021-09-12 08:42:24.154646 : Epoch  8, Batch   1328, Loss  0.884367, Average Loss  0.869533, Time  0.349832
2021-09-12 08:42:31.060831 : Epoch  8, Batch   1329, Loss  0.874780, Average Loss  0.869564, Time  0.652744
2021-09-12 08:42:38.570203 : Epoch  8, Batch   1330, Loss  0.889718, Average Loss  0.869671, Time  0.572959
2021-09-12 08:42:47.752283 : Epoch  8, Batch   1331, Loss  0.889633, Average Loss  0.869756, Time  0.294120
2021-09-12 08:42:54.739844 : Epoch  8, Batch   1332, Loss  0.879219, Average Loss  0.869733, Time  0.379083
2021-09-12 08:43:02.349788 : Epoch  8, Batch   1333, Loss  0.862926, Average Loss  0.869787, Time  0.472815
2021-09-12 08:43:08.335374 : Epoch  8, Batch   1334, Loss  0.863962, Average Loss  0.869796, Time  0.277411
2021-09-12 08:43:18.406502 : Epoch  8, Batch   1335, Loss  0.872755, Average Loss  0.869808, Time  0.366991
2021-09-12 08:43:26.565824 : Epoch  8, Batch   1336, Loss  0.862619, Average Loss  0.869702, Time  0.304054
2021-09-12 08:43:36.142144 : Epoch  8, Batch   1337, Loss  0.864119, Average Loss  0.869663, Time  0.376595
2021-09-12 08:43:43.761786 : Epoch  8, Batch   1338, Loss  0.853775, Average Loss  0.869504, Time  0.369804
2021-09-12 08:43:49.753916 : Epoch  8, Batch   1339, Loss  0.868135, Average Loss  0.869395, Time  0.236747
2021-09-12 08:43:58.469945 : Epoch  8, Batch   1340, Loss  0.849657, Average Loss  0.869312, Time  0.329856
2021-09-12 08:44:07.516736 : Epoch  8, Batch   1341, Loss  0.857770, Average Loss  0.869237, Time  0.323810
2021-09-12 08:44:15.708413 : Epoch  8, Batch   1342, Loss  0.862253, Average Loss  0.869290, Time  0.381497
2021-09-12 08:44:25.815261 : Epoch  8, Batch   1343, Loss  0.866442, Average Loss  0.869286, Time  0.287909
2021-09-12 08:44:30.990707 : Epoch  8, Batch   1344, Loss  0.831816, Average Loss  0.869092, Time  0.329966
2021-09-12 08:44:40.022610 : Epoch  8, Batch   1345, Loss  0.867616, Average Loss  0.869113, Time  0.307281
2021-09-12 08:44:48.550724 : Epoch  8, Batch   1346, Loss  0.873474, Average Loss  0.869164, Time  0.335184
2021-09-12 08:44:57.561874 : Epoch  8, Batch   1347, Loss  0.844497, Average Loss  0.869025, Time  0.456035
2021-09-12 08:45:07.346930 : Epoch  8, Batch   1348, Loss  0.850086, Average Loss  0.868960, Time  0.334184
2021-09-12 08:45:14.858946 : Epoch  8, Batch   1349, Loss  0.878722, Average Loss  0.869082, Time  0.358217
2021-09-12 08:45:19.337990 : Epoch  8, Batch   1350, Loss  0.848211, Average Loss  0.869080, Time  0.363346
2021-09-12 08:45:25.619532 : Epoch  8, Batch   1351, Loss  0.879692, Average Loss  0.869131, Time  0.348045
2021-09-12 08:45:34.462949 : Epoch  8, Batch   1352, Loss  0.849785, Average Loss  0.869090, Time  0.376291
2021-09-12 08:45:41.083946 : Epoch  8, Batch   1353, Loss  0.868222, Average Loss  0.869249, Time  0.239788
2021-09-12 08:45:48.389616 : Epoch  8, Batch   1354, Loss  0.881432, Average Loss  0.869203, Time  0.356158
2021-09-12 08:45:56.634021 : Epoch  8, Batch   1355, Loss  0.886711, Average Loss  0.869278, Time  0.298361
2021-09-12 08:46:01.436662 : Epoch  8, Batch   1356, Loss  0.858704, Average Loss  0.869216, Time  0.358583
2021-09-12 08:46:09.150896 : Epoch  8, Batch   1357, Loss  0.850316, Average Loss  0.869191, Time  0.236317
2021-09-12 08:46:15.427028 : Epoch  8, Batch   1358, Loss  0.859674, Average Loss  0.868971, Time  0.341709
2021-09-12 08:46:23.938791 : Epoch  8, Batch   1359, Loss  0.883825, Average Loss  0.868998, Time  0.277770
2021-09-12 08:46:32.084027 : Epoch  8, Batch   1360, Loss  0.869281, Average Loss  0.869131, Time  0.407748
2021-09-12 08:46:38.167052 : Epoch  8, Batch   1361, Loss  0.886740, Average Loss  0.869232, Time  0.361136
2021-09-12 08:46:46.694236 : Epoch  8, Batch   1362, Loss  0.877768, Average Loss  0.869222, Time  0.342980
2021-09-12 08:46:53.336675 : Epoch  8, Batch   1363, Loss  0.860743, Average Loss  0.869167, Time  0.332093
2021-09-12 08:47:02.551236 : Epoch  8, Batch   1364, Loss  0.895753, Average Loss  0.869271, Time  0.372559
2021-09-12 08:47:11.085016 : Epoch  8, Batch   1365, Loss  0.872249, Average Loss  0.869335, Time  0.305876
2021-09-12 08:47:19.165684 : Epoch  8, Batch   1366, Loss  0.868549, Average Loss  0.869340, Time  0.341835
2021-09-12 08:47:29.240779 : Epoch  8, Batch   1367, Loss  0.857343, Average Loss  0.869255, Time  0.402902
2021-09-12 08:47:36.577422 : Epoch  8, Batch   1368, Loss  0.887760, Average Loss  0.869333, Time  0.432969
2021-09-12 08:47:43.801886 : Epoch  8, Batch   1369, Loss  0.861483, Average Loss  0.869265, Time  0.491977
2021-09-12 08:47:52.846786 : Epoch  8, Batch   1370, Loss  0.879564, Average Loss  0.869307, Time  0.405651
2021-09-12 08:48:01.269603 : Epoch  8, Batch   1371, Loss  0.875938, Average Loss  0.869358, Time  0.378669
2021-09-12 08:48:09.650032 : Epoch  8, Batch   1372, Loss  0.850206, Average Loss  0.869228, Time  0.296489
2021-09-12 08:48:16.509167 : Epoch  8, Batch   1373, Loss  0.858971, Average Loss  0.869174, Time  0.326428
2021-09-12 08:48:24.322709 : Epoch  8, Batch   1374, Loss  0.850329, Average Loss  0.869173, Time  0.338323
2021-09-12 08:48:32.048803 : Epoch  8, Batch   1375, Loss  0.863694, Average Loss  0.869078, Time  0.361248
2021-09-12 08:48:38.551046 : Epoch  8, Batch   1376, Loss  0.891545, Average Loss  0.869153, Time  0.284491
2021-09-12 08:48:48.304836 : Epoch  8, Batch   1377, Loss  0.868551, Average Loss  0.869109, Time  0.345605
2021-09-12 08:48:52.537350 : Epoch  8, Batch   1378, Loss  0.868653, Average Loss  0.869087, Time  0.483517
2021-09-12 08:49:00.383229 : Epoch  8, Batch   1379, Loss  0.878416, Average Loss  0.869122, Time  0.327518
2021-09-12 08:49:07.322433 : Epoch  8, Batch   1380, Loss  0.888417, Average Loss  0.869216, Time  0.382942
2021-09-12 08:49:15.014987 : Epoch  8, Batch   1381, Loss  0.870220, Average Loss  0.869073, Time  0.273002
2021-09-12 08:49:22.267187 : Epoch  8, Batch   1382, Loss  0.860884, Average Loss  0.869045, Time  0.329198
2021-09-12 08:49:29.470683 : Epoch  8, Batch   1383, Loss  0.849665, Average Loss  0.868953, Time  0.303518
2021-09-12 08:49:38.845995 : Epoch  8, Batch   1384, Loss  0.854663, Average Loss  0.868841, Time  0.395352
2021-09-12 08:49:44.220787 : Epoch  8, Batch   1385, Loss  0.860345, Average Loss  0.868789, Time  0.237421
2021-09-12 08:49:50.656221 : Epoch  8, Batch   1386, Loss  0.863971, Average Loss  0.868790, Time  0.324800
2021-09-12 08:49:59.685839 : Epoch  8, Batch   1387, Loss  0.882338, Average Loss  0.868954, Time  0.514490
2021-09-12 08:50:04.289550 : Epoch  8, Batch   1388, Loss  0.879097, Average Loss  0.868946, Time  0.314887
2021-09-12 08:50:12.983471 : Epoch  8, Batch   1389, Loss  0.855001, Average Loss  0.868867, Time  0.390608
2021-09-12 08:50:21.687973 : Epoch  8, Batch   1390, Loss  0.858920, Average Loss  0.868753, Time  0.405796
2021-09-12 08:50:28.284662 : Epoch  8, Batch   1391, Loss  0.857898, Average Loss  0.868720, Time  0.383165
2021-09-12 08:50:36.623899 : Epoch  8, Batch   1392, Loss  0.873456, Average Loss  0.868687, Time  0.290639
2021-09-12 08:50:44.945214 : Epoch  8, Batch   1393, Loss  0.869690, Average Loss  0.868766, Time  0.443114
2021-09-12 08:50:52.806928 : Epoch  8, Batch   1394, Loss  0.863438, Average Loss  0.868629, Time  0.514488
2021-09-12 08:50:58.379718 : Epoch  8, Batch   1395, Loss  0.864034, Average Loss  0.868509, Time  0.328195
2021-09-12 08:51:03.779174 : Epoch  8, Batch   1396, Loss  0.868844, Average Loss  0.868566, Time  0.317976
2021-09-12 08:51:09.374730 : Epoch  8, Batch   1397, Loss  0.863342, Average Loss  0.868473, Time  0.316695
2021-09-12 08:51:19.440689 : Epoch  8, Batch   1398, Loss  0.882450, Average Loss  0.868598, Time  0.365066
2021-09-12 08:51:27.539310 : Epoch  8, Batch   1399, Loss  0.864834, Average Loss  0.868532, Time  0.432005
2021-09-12 08:51:35.357394 : Epoch  8, Batch   1400, Loss  0.862604, Average Loss  0.868481, Time  0.256950
2021-09-12 08:51:44.635315 : Epoch  8, Batch   1401, Loss  0.863191, Average Loss  0.868521, Time  0.462300
2021-09-12 08:51:52.914951 : Epoch  8, Batch   1402, Loss  0.861656, Average Loss  0.868483, Time  0.418940
2021-09-12 08:51:59.939679 : Epoch  8, Batch   1403, Loss  0.850519, Average Loss  0.868296, Time  0.372624
2021-09-12 08:52:09.798441 : Epoch  8, Batch   1404, Loss  0.877784, Average Loss  0.868284, Time  0.352371
2021-09-12 08:52:18.259173 : Epoch  8, Batch   1405, Loss  0.869138, Average Loss  0.868240, Time  0.401295
2021-09-12 08:52:26.848913 : Epoch  8, Batch   1406, Loss  0.875051, Average Loss  0.868189, Time  0.345533
2021-09-12 08:52:31.725028 : Epoch  8, Batch   1407, Loss  0.866103, Average Loss  0.868174, Time  0.446059
2021-09-12 08:52:40.501285 : Epoch  8, Batch   1408, Loss  0.868480, Average Loss  0.868219, Time  0.405903
2021-09-12 09:04:45.744869 : CheckPoint: Validation Loss  0.00029469, Best Loss  0.00029019
2021-09-12 09:04:51.950019 : Epoch  8, Batch   1409, Loss  0.876549, Average Loss  0.868269, Time  0.490961
2021-09-12 09:04:57.386816 : Epoch  8, Batch   1410, Loss  0.871999, Average Loss  0.868260, Time  0.342798
2021-09-12 09:05:06.828562 : Epoch  8, Batch   1411, Loss  0.883821, Average Loss  0.868411, Time  0.340943
2021-09-12 09:05:15.322905 : Epoch  8, Batch   1412, Loss  0.852440, Average Loss  0.868377, Time  0.379510
2021-09-12 09:05:24.467982 : Epoch  8, Batch   1413, Loss  0.869170, Average Loss  0.868366, Time  0.371044
2021-09-12 09:05:31.434591 : Epoch  8, Batch   1414, Loss  0.879086, Average Loss  0.868379, Time  0.406483
2021-09-12 09:05:39.903744 : Epoch  8, Batch   1415, Loss  0.887755, Average Loss  0.868538, Time  0.331610
2021-09-12 09:05:48.679487 : Epoch  8, Batch   1416, Loss  0.853119, Average Loss  0.868376, Time  0.259758
2021-09-12 09:05:56.977992 : Epoch  8, Batch   1417, Loss  0.848996, Average Loss  0.868287, Time  0.364259
2021-09-12 09:06:04.678403 : Epoch  8, Batch   1418, Loss  0.863180, Average Loss  0.868226, Time  0.369270
2021-09-12 09:06:14.333384 : Epoch  8, Batch   1419, Loss  0.854243, Average Loss  0.868143, Time  0.304300
2021-09-12 09:06:20.706209 : Epoch  8, Batch   1420, Loss  0.873754, Average Loss  0.868121, Time  0.299937
2021-09-12 09:06:26.622225 : Epoch  8, Batch   1421, Loss  0.863834, Average Loss  0.868280, Time  0.350231
2021-09-12 09:06:35.382347 : Epoch  8, Batch   1422, Loss  0.854634, Average Loss  0.868048, Time  0.391981
2021-09-12 09:06:40.256917 : Epoch  8, Batch   1423, Loss  0.870623, Average Loss  0.868061, Time  0.255038
2021-09-12 09:06:44.628675 : Epoch  8, Batch   1424, Loss  0.859498, Average Loss  0.868035, Time  0.261846
2021-09-12 09:06:50.365279 : Epoch  8, Batch   1425, Loss  0.875095, Average Loss  0.868111, Time  0.366258
2021-09-12 09:06:57.526881 : Epoch  8, Batch   1426, Loss  0.844191, Average Loss  0.867947, Time  0.411993
2021-09-12 09:07:05.013886 : Epoch  8, Batch   1427, Loss  0.859774, Average Loss  0.867920, Time  0.262822
2021-09-12 09:07:09.649102 : Epoch  8, Batch   1428, Loss  0.873601, Average Loss  0.867923, Time  0.278406
2021-09-12 09:07:18.035006 : Epoch  8, Batch   1429, Loss  0.863318, Average Loss  0.867919, Time  0.335066
2021-09-12 09:07:24.743086 : Epoch  8, Batch   1430, Loss  0.895445, Average Loss  0.868059, Time  0.370983
2021-09-12 09:07:32.053878 : Epoch  8, Batch   1431, Loss  0.847676, Average Loss  0.867954, Time  0.270267
2021-09-12 09:07:40.205670 : Epoch  8, Batch   1432, Loss  0.874928, Average Loss  0.867874, Time  0.315264
2021-09-12 09:07:44.412916 : Epoch  8, Batch   1433, Loss  0.879839, Average Loss  0.867906, Time  0.349237
2021-09-12 09:07:50.841953 : Epoch  8, Batch   1434, Loss  0.880376, Average Loss  0.867998, Time  0.360642
2021-09-12 09:07:58.219001 : Epoch  8, Batch   1435, Loss  0.886925, Average Loss  0.868115, Time  0.430584
2021-09-12 09:08:06.793955 : Epoch  8, Batch   1436, Loss  0.853375, Average Loss  0.868021, Time  0.507626
2021-09-12 09:08:14.573307 : Epoch  8, Batch   1437, Loss  0.852805, Average Loss  0.868028, Time  0.334061
2021-09-12 09:08:19.266201 : Epoch  8, Batch   1438, Loss  0.873139, Average Loss  0.867976, Time  0.426614
2021-09-12 09:08:30.149997 : Epoch  8, Batch   1439, Loss  0.893713, Average Loss  0.868225, Time  0.397620
2021-09-12 09:08:37.181738 : Epoch  8, Batch   1440, Loss  0.852988, Average Loss  0.868141, Time  0.407396
2021-09-12 09:08:46.476191 : Epoch  8, Batch   1441, Loss  0.864485, Average Loss  0.868150, Time  0.332466
2021-09-12 09:08:54.951057 : Epoch  8, Batch   1442, Loss  0.863036, Average Loss  0.868048, Time  0.286021
2021-09-12 09:09:02.456934 : Epoch  8, Batch   1443, Loss  0.862739, Average Loss  0.868101, Time  0.320275
2021-09-12 09:09:06.333116 : Epoch  8, Batch   1444, Loss  0.866680, Average Loss  0.868122, Time  0.317054
2021-09-12 09:09:13.659801 : Epoch  8, Batch   1445, Loss  0.881009, Average Loss  0.868168, Time  0.380458
2021-09-12 09:09:22.835107 : Epoch  8, Batch   1446, Loss  0.861446, Average Loss  0.868100, Time  0.301672
2021-09-12 09:09:30.707337 : Epoch  8, Batch   1447, Loss  0.862721, Average Loss  0.867951, Time  0.590283
2021-09-12 09:09:40.609702 : Epoch  8, Batch   1448, Loss  0.871900, Average Loss  0.867766, Time  0.347028
2021-09-12 09:09:50.394387 : Epoch  8, Batch   1449, Loss  0.872198, Average Loss  0.867798, Time  0.483037
2021-09-12 09:10:00.208642 : Epoch  8, Batch   1450, Loss  0.866907, Average Loss  0.867870, Time  0.291247
2021-09-12 09:10:06.813767 : Epoch  8, Batch   1451, Loss  0.873432, Average Loss  0.867773, Time  0.348280
2021-09-12 09:10:16.386592 : Epoch  8, Batch   1452, Loss  0.872286, Average Loss  0.867726, Time  0.461753
2021-09-12 09:10:23.602948 : Epoch  8, Batch   1453, Loss  0.875617, Average Loss  0.867757, Time  0.251129
2021-09-12 09:10:31.977696 : Epoch  8, Batch   1454, Loss  0.873433, Average Loss  0.867787, Time  0.460518
2021-09-12 09:10:39.214588 : Epoch  8, Batch   1455, Loss  0.869531, Average Loss  0.867683, Time  0.329082
2021-09-12 09:10:43.678403 : Epoch  8, Batch   1456, Loss  0.879044, Average Loss  0.867775, Time  0.236732
2021-09-12 09:10:50.631187 : Epoch  8, Batch   1457, Loss  0.855847, Average Loss  0.867696, Time  0.383442
2021-09-12 09:11:00.084992 : Epoch  8, Batch   1458, Loss  0.890068, Average Loss  0.867773, Time  0.476037
2021-09-12 09:11:06.712147 : Epoch  8, Batch   1459, Loss  0.882578, Average Loss  0.867926, Time  0.338063
2021-09-12 09:11:13.454635 : Epoch  8, Batch   1460, Loss  0.872001, Average Loss  0.867953, Time  0.257575
2021-09-12 09:11:21.146243 : Epoch  8, Batch   1461, Loss  0.879894, Average Loss  0.868020, Time  0.317533
2021-09-12 09:11:28.774373 : Epoch  8, Batch   1462, Loss  0.878169, Average Loss  0.868005, Time  0.316586
2021-09-12 09:11:37.968085 : Epoch  8, Batch   1463, Loss  0.844097, Average Loss  0.867942, Time  0.303647
2021-09-12 09:11:46.443050 : Epoch  8, Batch   1464, Loss  0.870617, Average Loss  0.867938, Time  0.389773
2021-09-12 09:11:49.581507 : Epoch  8, Batch   1465, Loss  0.866176, Average Loss  0.867997, Time  0.455522
2021-09-12 09:11:58.630008 : Epoch  8, Batch   1466, Loss  0.871865, Average Loss  0.868073, Time  0.342874
2021-09-12 09:12:06.594990 : Epoch  8, Batch   1467, Loss  0.850153, Average Loss  0.867944, Time  0.356004
2021-09-12 09:12:15.093707 : Epoch  8, Batch   1468, Loss  0.863645, Average Loss  0.867882, Time  0.504468
2021-09-12 09:12:22.321064 : Epoch  8, Batch   1469, Loss  0.871617, Average Loss  0.867894, Time  0.415334
2021-09-12 09:12:32.341666 : Epoch  8, Batch   1470, Loss  0.873681, Average Loss  0.867861, Time  0.375483
2021-09-12 09:12:38.604900 : Epoch  8, Batch   1471, Loss  0.880219, Average Loss  0.867974, Time  0.273022
2021-09-12 09:12:45.768050 : Epoch  8, Batch   1472, Loss  0.868765, Average Loss  0.867858, Time  0.490298
2021-09-12 09:12:55.478173 : Epoch  8, Batch   1473, Loss  0.848020, Average Loss  0.867775, Time  0.349013
2021-09-12 09:13:02.078366 : Epoch  8, Batch   1474, Loss  0.883844, Average Loss  0.867687, Time  0.334369
2021-09-12 09:13:06.879233 : Epoch  8, Batch   1475, Loss  0.873223, Average Loss  0.867556, Time  0.471164
2021-09-12 09:13:13.357327 : Epoch  8, Batch   1476, Loss  0.857872, Average Loss  0.867584, Time  0.374147
2021-09-12 09:13:20.046138 : Epoch  8, Batch   1477, Loss  0.874306, Average Loss  0.867567, Time  0.442161
2021-09-12 09:13:26.265258 : Epoch  8, Batch   1478, Loss  0.859913, Average Loss  0.867501, Time  0.308496
2021-09-12 09:13:33.391562 : Epoch  8, Batch   1479, Loss  0.861714, Average Loss  0.867563, Time  0.324589
2021-09-12 09:13:37.295891 : Epoch  8, Batch   1480, Loss  0.863786, Average Loss  0.867579, Time  0.349485
2021-09-12 09:13:44.735984 : Epoch  8, Batch   1481, Loss  0.874991, Average Loss  0.867596, Time  0.488669
2021-09-12 09:13:53.997150 : Epoch  8, Batch   1482, Loss  0.873565, Average Loss  0.867605, Time  0.386661
2021-09-12 09:14:00.765734 : Epoch  8, Batch   1483, Loss  0.848704, Average Loss  0.867481, Time  0.320370
2021-09-12 09:14:10.115000 : Epoch  8, Batch   1484, Loss  0.876784, Average Loss  0.867541, Time  0.418012
2021-09-12 09:14:17.776788 : Epoch  8, Batch   1485, Loss  0.857107, Average Loss  0.867579, Time  0.393443
2021-09-12 09:14:23.990490 : Epoch  8, Batch   1486, Loss  0.873693, Average Loss  0.867564, Time  0.360813
2021-09-12 09:14:32.643687 : Epoch  8, Batch   1487, Loss  0.864752, Average Loss  0.867612, Time  0.414048
2021-09-12 09:14:41.909314 : Epoch  8, Batch   1488, Loss  0.886183, Average Loss  0.867797, Time  0.305923
2021-09-12 09:14:50.328092 : Epoch  8, Batch   1489, Loss  0.865583, Average Loss  0.867880, Time  0.435321
2021-09-12 09:14:56.148979 : Epoch  8, Batch   1490, Loss  0.867421, Average Loss  0.867873, Time  0.382760
2021-09-12 09:15:04.462678 : Epoch  8, Batch   1491, Loss  0.891344, Average Loss  0.868051, Time  0.333616
2021-09-12 09:15:12.125170 : Epoch  8, Batch   1492, Loss  0.863767, Average Loss  0.868134, Time  0.390030
2021-09-12 09:15:17.316798 : Epoch  8, Batch   1493, Loss  0.863505, Average Loss  0.868106, Time  0.355563
2021-09-12 09:15:26.517204 : Epoch  8, Batch   1494, Loss  0.861711, Average Loss  0.867987, Time  0.345171
2021-09-12 09:15:33.902256 : Epoch  8, Batch   1495, Loss  0.868471, Average Loss  0.868007, Time  0.315852
2021-09-12 09:15:41.298984 : Epoch  8, Batch   1496, Loss  0.859851, Average Loss  0.867976, Time  0.396496
2021-09-12 09:15:47.600821 : Epoch  8, Batch   1497, Loss  0.883615, Average Loss  0.867954, Time  0.361077
2021-09-12 09:15:53.912394 : Epoch  8, Batch   1498, Loss  0.858540, Average Loss  0.867994, Time  0.375119
2021-09-12 09:16:00.965950 : Epoch  8, Batch   1499, Loss  0.880672, Average Loss  0.868034, Time  0.237593
2021-09-12 09:16:08.174915 : Epoch  8, Batch   1500, Loss  0.863312, Average Loss  0.868037, Time  0.371186
2021-09-12 09:16:14.326154 : Epoch  8, Batch   1501, Loss  0.887552, Average Loss  0.868051, Time  0.299911
2021-09-12 09:16:21.053934 : Epoch  8, Batch   1502, Loss  0.862366, Average Loss  0.868010, Time  0.259714
2021-09-12 09:16:24.472180 : Epoch  8, Batch   1503, Loss  0.887968, Average Loss  0.868129, Time  0.297739
2021-09-12 09:16:28.752465 : Epoch  8, Batch   1504, Loss  0.883402, Average Loss  0.868112, Time  0.376770
2021-09-12 09:16:38.400127 : Epoch  8, Batch   1505, Loss  0.887491, Average Loss  0.868144, Time  0.580131
2021-09-12 09:16:43.327895 : Epoch  8, Batch   1506, Loss  0.884010, Average Loss  0.868219, Time  0.288133
2021-09-12 09:16:46.576992 : Epoch  8, Batch   1507, Loss  0.878819, Average Loss  0.868252, Time  0.344082
2021-09-12 09:16:52.632949 : Epoch  8, Batch   1508, Loss  0.881054, Average Loss  0.868366, Time  0.295046
2021-09-12 09:28:47.805825 : CheckPoint: Validation Loss  0.00029846, Best Loss  0.00029019
2021-09-12 09:28:56.739696 : Epoch  8, Batch   1509, Loss  0.881470, Average Loss  0.868496, Time  0.445054
2021-09-12 09:29:03.872572 : Epoch  8, Batch   1510, Loss  0.853173, Average Loss  0.868438, Time  0.379249
2021-09-12 09:29:12.832157 : Epoch  8, Batch   1511, Loss  0.883621, Average Loss  0.868627, Time  0.306618
2021-09-12 09:29:20.155408 : Epoch  8, Batch   1512, Loss  0.853505, Average Loss  0.868467, Time  0.262857
2021-09-12 09:29:28.874256 : Epoch  8, Batch   1513, Loss  0.854760, Average Loss  0.868340, Time  0.364870
2021-09-12 09:29:38.236728 : Epoch  8, Batch   1514, Loss  0.854277, Average Loss  0.868234, Time  0.370381
2021-09-12 09:29:46.688799 : Epoch  8, Batch   1515, Loss  0.856028, Average Loss  0.868203, Time  0.356108
2021-09-12 09:29:53.439027 : Epoch  8, Batch   1516, Loss  0.861667, Average Loss  0.868147, Time  0.271407
2021-09-12 09:30:00.896891 : Epoch  8, Batch   1517, Loss  0.882478, Average Loss  0.868144, Time  0.293649
2021-09-12 09:30:09.270108 : Epoch  8, Batch   1518, Loss  0.865187, Average Loss  0.868198, Time  0.310509
2021-09-12 09:30:14.894117 : Epoch  8, Batch   1519, Loss  0.834301, Average Loss  0.868149, Time  0.369423
2021-09-12 09:30:21.897004 : Epoch  8, Batch   1520, Loss  0.900718, Average Loss  0.868300, Time  0.304646
2021-09-12 09:30:29.883736 : Epoch  8, Batch   1521, Loss  0.864198, Average Loss  0.868365, Time  0.321604
2021-09-12 09:30:34.649940 : Epoch  8, Batch   1522, Loss  0.888206, Average Loss  0.868344, Time  0.276283
2021-09-12 09:30:45.307758 : Epoch  8, Batch   1523, Loss  0.847062, Average Loss  0.868243, Time  0.363328
2021-09-12 09:30:51.466687 : Epoch  8, Batch   1524, Loss  0.875157, Average Loss  0.868233, Time  0.350205
2021-09-12 09:30:59.967534 : Epoch  8, Batch   1525, Loss  0.852172, Average Loss  0.868303, Time  0.325270
2021-09-12 09:31:08.510935 : Epoch  8, Batch   1526, Loss  0.879780, Average Loss  0.868405, Time  0.303603
2021-09-12 09:31:16.257674 : Epoch  8, Batch   1527, Loss  0.889334, Average Loss  0.868531, Time  0.369833
2021-09-12 09:31:25.000435 : Epoch  8, Batch   1528, Loss  0.885484, Average Loss  0.868537, Time  0.236547
2021-09-12 09:31:32.935630 : Epoch  8, Batch   1529, Loss  0.889903, Average Loss  0.868612, Time  0.310351
2021-09-12 09:31:42.256717 : Epoch  8, Batch   1530, Loss  0.868352, Average Loss  0.868506, Time  0.465269
2021-09-12 09:31:49.834997 : Epoch  8, Batch   1531, Loss  0.862735, Average Loss  0.868371, Time  0.298218
2021-09-12 09:31:59.865814 : Epoch  8, Batch   1532, Loss  0.865474, Average Loss  0.868302, Time  0.270434
2021-09-12 09:32:07.417816 : Epoch  8, Batch   1533, Loss  0.876294, Average Loss  0.868369, Time  0.248815
2021-09-12 09:32:13.375375 : Epoch  8, Batch   1534, Loss  0.873939, Average Loss  0.868419, Time  0.291571
2021-09-12 09:32:23.395458 : Epoch  8, Batch   1535, Loss  0.873733, Average Loss  0.868424, Time  0.354796
2021-09-12 09:32:32.277832 : Epoch  8, Batch   1536, Loss  0.874669, Average Loss  0.868484, Time  0.388362
2021-09-12 09:32:41.877694 : Epoch  8, Batch   1537, Loss  0.868208, Average Loss  0.868505, Time  0.271219
2021-09-12 09:32:51.397462 : Epoch  8, Batch   1538, Loss  0.889055, Average Loss  0.868681, Time  0.352248
2021-09-12 09:32:55.640925 : Epoch  8, Batch   1539, Loss  0.875056, Average Loss  0.868716, Time  0.526400
2021-09-12 09:33:03.171802 : Epoch  8, Batch   1540, Loss  0.873154, Average Loss  0.868833, Time  0.444033
2021-09-12 09:33:12.045745 : Epoch  8, Batch   1541, Loss  0.870818, Average Loss  0.868898, Time  0.344062
2021-09-12 09:33:20.050700 : Epoch  8, Batch   1542, Loss  0.869257, Average Loss  0.868933, Time  0.236976
2021-09-12 09:33:30.138929 : Epoch  8, Batch   1543, Loss  0.868730, Average Loss  0.868945, Time  0.466132
2021-09-12 09:33:33.923993 : Epoch  8, Batch   1544, Loss  0.849000, Average Loss  0.869031, Time  0.538032
2021-09-12 09:33:44.310677 : Epoch  8, Batch   1545, Loss  0.885560, Average Loss  0.869120, Time  0.345314
2021-09-12 09:33:55.918753 : Epoch  8, Batch   1546, Loss  0.856544, Average Loss  0.869036, Time  0.368038
2021-09-12 09:34:07.758290 : Epoch  8, Batch   1547, Loss  0.876356, Average Loss  0.869195, Time  0.591031
2021-09-12 09:34:14.723114 : Epoch  8, Batch   1548, Loss  0.881153, Average Loss  0.869350, Time  0.458154
2021-09-12 09:34:18.687026 : Epoch  8, Batch   1549, Loss  0.877543, Average Loss  0.869345, Time  0.451192
2021-09-12 09:34:27.001825 : Epoch  8, Batch   1550, Loss  0.875778, Average Loss  0.869482, Time  0.377231
2021-09-12 09:34:36.262000 : Epoch  8, Batch   1551, Loss  0.863434, Average Loss  0.869401, Time  0.418044
2021-09-12 09:34:41.243962 : Epoch  8, Batch   1552, Loss  0.849129, Average Loss  0.869398, Time  0.236890
2021-09-12 09:34:51.050774 : Epoch  8, Batch   1553, Loss  0.877314, Average Loss  0.869443, Time  0.327393
2021-09-12 09:34:59.579053 : Epoch  8, Batch   1554, Loss  0.865745, Average Loss  0.869365, Time  0.325583
2021-09-12 09:35:09.386908 : Epoch  8, Batch   1555, Loss  0.868443, Average Loss  0.869273, Time  0.505642
2021-09-12 09:35:15.761593 : Epoch  8, Batch   1556, Loss  0.864505, Average Loss  0.869302, Time  0.311641
2021-09-12 09:35:22.181262 : Epoch  8, Batch   1557, Loss  0.875080, Average Loss  0.869426, Time  0.475308
2021-09-12 09:35:28.884496 : Epoch  8, Batch   1558, Loss  0.881386, Average Loss  0.869535, Time  0.253518
2021-09-12 09:35:38.139046 : Epoch  8, Batch   1559, Loss  0.880583, Average Loss  0.869519, Time  0.338807
2021-09-12 09:35:49.458261 : Epoch  8, Batch   1560, Loss  0.876941, Average Loss  0.869557, Time  0.728355
2021-09-12 09:36:00.326722 : Epoch  8, Batch   1561, Loss  0.863446, Average Loss  0.869440, Time  0.310587
2021-09-12 09:36:08.015887 : Epoch  8, Batch   1562, Loss  0.872855, Average Loss  0.869416, Time  0.273222
2021-09-12 09:36:18.448959 : Epoch  8, Batch   1563, Loss  0.855555, Average Loss  0.869390, Time  0.295453
2021-09-12 09:36:29.782242 : Epoch  8, Batch   1564, Loss  0.864071, Average Loss  0.869232, Time  0.383567
2021-09-12 09:36:39.031148 : Epoch  8, Batch   1565, Loss  0.894988, Average Loss  0.869345, Time  0.460454
2021-09-12 09:36:53.074993 : Epoch  8, Batch   1566, Loss  0.854704, Average Loss  0.869276, Time  0.439597
2021-09-12 09:37:03.465025 : Epoch  8, Batch   1567, Loss  0.844742, Average Loss  0.869213, Time  0.237048
2021-09-12 09:37:08.077724 : Epoch  8, Batch   1568, Loss  0.881825, Average Loss  0.869183, Time  0.566330
2021-09-12 09:37:17.695163 : Epoch  8, Batch   1569, Loss  0.855170, Average Loss  0.869152, Time  0.477005
2021-09-12 09:37:26.549806 : Epoch  8, Batch   1570, Loss  0.854983, Average Loss  0.869029, Time  0.273945
2021-09-12 09:37:39.224870 : Epoch  8, Batch   1571, Loss  0.875355, Average Loss  0.869026, Time  0.317805
2021-09-12 09:37:43.784900 : Epoch  8, Batch   1572, Loss  0.880929, Average Loss  0.869180, Time  0.442235
2021-09-12 09:37:55.047001 : Epoch  8, Batch   1573, Loss  0.877646, Average Loss  0.869273, Time  0.359084
2021-09-12 09:38:06.023076 : Epoch  8, Batch   1574, Loss  0.886459, Average Loss  0.869454, Time  0.639764
2021-09-12 09:38:15.337105 : Epoch  8, Batch   1575, Loss  0.868509, Average Loss  0.869478, Time  0.487870
2021-09-12 09:38:25.395734 : Epoch  8, Batch   1576, Loss  0.877380, Average Loss  0.869407, Time  0.307085
2021-09-12 09:38:32.938760 : Epoch  8, Batch   1577, Loss  0.868816, Average Loss  0.869408, Time  0.372307
2021-09-12 09:38:41.288906 : Epoch  8, Batch   1578, Loss  0.859091, Average Loss  0.869360, Time  0.273170
2021-09-12 09:38:48.532666 : Epoch  8, Batch   1579, Loss  0.871220, Average Loss  0.869324, Time  0.413938
2021-09-12 09:38:59.085442 : Epoch  8, Batch   1580, Loss  0.880458, Average Loss  0.869285, Time  0.519683
2021-09-12 09:39:09.082145 : Epoch  8, Batch   1581, Loss  0.872725, Average Loss  0.869297, Time  0.411382
2021-09-12 09:39:17.710924 : Epoch  8, Batch   1582, Loss  0.873415, Average Loss  0.869360, Time  0.533674
2021-09-12 09:39:21.692337 : Epoch  8, Batch   1583, Loss  0.863345, Average Loss  0.869428, Time  0.354814
2021-09-12 09:39:32.784022 : Epoch  8, Batch   1584, Loss  0.879321, Average Loss  0.869551, Time  0.645719
2021-09-12 09:39:42.312855 : Epoch  8, Batch   1585, Loss  0.875653, Average Loss  0.869628, Time  0.305971
2021-09-12 09:39:46.202898 : Epoch  8, Batch   1586, Loss  0.844803, Average Loss  0.869532, Time  0.471620
2021-09-12 09:39:52.719898 : Epoch  8, Batch   1587, Loss  0.862058, Average Loss  0.869431, Time  0.627306
2021-09-12 09:40:03.949953 : Epoch  8, Batch   1588, Loss  0.849342, Average Loss  0.869282, Time  0.313485
2021-09-12 09:40:10.967701 : Epoch  8, Batch   1589, Loss  0.853423, Average Loss  0.869274, Time  0.259866
2021-09-12 09:40:19.142660 : Epoch  8, Batch   1590, Loss  0.884689, Average Loss  0.869403, Time  0.572140
2021-09-12 09:40:31.365913 : Epoch  8, Batch   1591, Loss  0.889221, Average Loss  0.869560, Time  0.365798
2021-09-12 09:40:37.390239 : Epoch  8, Batch   1592, Loss  0.867560, Average Loss  0.869530, Time  0.373956
2021-09-12 09:40:46.024697 : Epoch  8, Batch   1593, Loss  0.848743, Average Loss  0.869425, Time  0.314090
2021-09-12 09:40:55.744937 : Epoch  8, Batch   1594, Loss  0.883558, Average Loss  0.869526, Time  0.388520
2021-09-12 09:41:06.230144 : Epoch  8, Batch   1595, Loss  0.877688, Average Loss  0.869594, Time  0.548316
2021-09-12 09:41:18.111762 : Epoch  8, Batch   1596, Loss  0.870149, Average Loss  0.869601, Time  0.358877
2021-09-12 09:41:27.072692 : Epoch  8, Batch   1597, Loss  0.889478, Average Loss  0.869731, Time  0.436386
2021-09-12 09:41:35.898380 : Epoch  8, Batch   1598, Loss  0.860378, Average Loss  0.869621, Time  0.316257
2021-09-12 09:41:45.490009 : Epoch  8, Batch   1599, Loss  0.870585, Average Loss  0.869650, Time  0.571376
2021-09-12 09:41:52.725687 : Epoch  8, Batch   1600, Loss  0.859617, Average Loss  0.869635, Time  0.408021
2021-09-12 09:42:03.658832 : Epoch  8, Batch   1601, Loss  0.854018, Average Loss  0.869589, Time  0.309922
2021-09-12 09:42:11.902894 : Epoch  8, Batch   1602, Loss  0.859647, Average Loss  0.869579, Time  0.248877
2021-09-12 09:42:18.038148 : Epoch  8, Batch   1603, Loss  0.858860, Average Loss  0.869621, Time  0.293452
2021-09-12 09:42:25.744708 : Epoch  8, Batch   1604, Loss  0.888500, Average Loss  0.869674, Time  0.348500
2021-09-12 09:42:33.013963 : Epoch  8, Batch   1605, Loss  0.860778, Average Loss  0.869632, Time  0.320058
2021-09-12 09:42:45.211700 : Epoch  8, Batch   1606, Loss  0.867773, Average Loss  0.869596, Time  0.537394
2021-09-12 09:42:54.971004 : Epoch  8, Batch   1607, Loss  0.884528, Average Loss  0.869688, Time  0.518506
2021-09-12 09:43:04.457488 : Epoch  8, Batch   1608, Loss  0.868296, Average Loss  0.869687, Time  0.403995
2021-09-12 09:56:37.097858 : CheckPoint: Validation Loss  0.00030385, Best Loss  0.00029019
2021-09-12 09:56:46.454714 : Epoch  8, Batch   1609, Loss  0.885052, Average Loss  0.869730, Time  0.315768
2021-09-12 09:56:54.614691 : Epoch  8, Batch   1610, Loss  0.856934, Average Loss  0.869654, Time  0.405396
2021-09-12 09:57:02.194870 : Epoch  8, Batch   1611, Loss  0.854204, Average Loss  0.869506, Time  0.361849
2021-09-12 09:57:06.311118 : Epoch  8, Batch   1612, Loss  0.863727, Average Loss  0.869563, Time  0.423395
2021-09-12 09:57:16.175748 : Epoch  8, Batch   1613, Loss  0.886537, Average Loss  0.869650, Time  0.303002
2021-09-12 09:57:23.884598 : Epoch  8, Batch   1614, Loss  0.875534, Average Loss  0.869632, Time  0.434675
2021-09-12 09:57:29.742364 : Epoch  8, Batch   1615, Loss  0.871307, Average Loss  0.869550, Time  0.413348
2021-09-12 09:57:41.253308 : Epoch  8, Batch   1616, Loss  0.858117, Average Loss  0.869575, Time  0.260264
2021-09-12 09:57:52.387045 : Epoch  8, Batch   1617, Loss  0.865862, Average Loss  0.869659, Time  0.236733
2021-09-12 09:57:57.064004 : Epoch  8, Batch   1618, Loss  0.885261, Average Loss  0.869769, Time  0.378577
2021-09-12 09:58:07.076294 : Epoch  8, Batch   1619, Loss  0.859546, Average Loss  0.869796, Time  0.275177
2021-09-12 09:58:16.266758 : Epoch  8, Batch   1620, Loss  0.837218, Average Loss  0.869613, Time  0.293745
2021-09-12 09:58:23.486936 : Epoch  8, Batch   1621, Loss  0.857208, Average Loss  0.869580, Time  0.237138
2021-09-12 09:58:35.568881 : Epoch  8, Batch   1622, Loss  0.877230, Average Loss  0.869693, Time  0.359431
2021-09-12 09:58:39.467721 : Epoch  8, Batch   1623, Loss  0.851708, Average Loss  0.869598, Time  0.280271
2021-09-12 09:58:44.145900 : Epoch  8, Batch   1624, Loss  0.860116, Average Loss  0.869602, Time  0.369256
2021-09-12 09:58:53.822958 : Epoch  8, Batch   1625, Loss  0.871110, Average Loss  0.869582, Time  0.269012
2021-09-12 09:59:01.840018 : Epoch  8, Batch   1626, Loss  0.879810, Average Loss  0.869760, Time  0.320478
2021-09-12 09:59:13.168849 : Epoch  8, Batch   1627, Loss  0.861436, Average Loss  0.869768, Time  0.438643
2021-09-12 09:59:18.764943 : Epoch  8, Batch   1628, Loss  0.878052, Average Loss  0.869790, Time  0.386978
2021-09-12 09:59:22.917730 : Epoch  8, Batch   1629, Loss  0.856453, Average Loss  0.869756, Time  0.339220
2021-09-12 09:59:32.233912 : Epoch  8, Batch   1630, Loss  0.873600, Average Loss  0.869647, Time  0.333698
2021-09-12 09:59:42.181303 : Epoch  8, Batch   1631, Loss  0.876698, Average Loss  0.869792, Time  0.555694
2021-09-12 09:59:52.467041 : Epoch  8, Batch   1632, Loss  0.840117, Average Loss  0.869618, Time  0.318193
2021-09-12 09:59:59.602294 : Epoch  8, Batch   1633, Loss  0.862317, Average Loss  0.869530, Time  0.374017
2021-09-12 10:00:06.925757 : Epoch  8, Batch   1634, Loss  0.852190, Average Loss  0.869389, Time  0.297987
2021-09-12 10:00:13.731226 : Epoch  8, Batch   1635, Loss  0.874791, Average Loss  0.869329, Time  0.570121
2021-09-12 10:00:22.888169 : Epoch  8, Batch   1636, Loss  0.864042, Average Loss  0.869382, Time  0.318173
2021-09-12 10:00:34.852931 : Epoch  8, Batch   1637, Loss  0.871732, Average Loss  0.869477, Time  0.339418
2021-09-12 10:00:44.731643 : Epoch  8, Batch   1638, Loss  0.877033, Average Loss  0.869496, Time  0.289653
2021-09-12 10:00:55.868947 : Epoch  8, Batch   1639, Loss  0.876521, Average Loss  0.869410, Time  0.419683
2021-09-12 10:01:06.594135 : Epoch  8, Batch   1640, Loss  0.846890, Average Loss  0.869380, Time  0.285844
2021-09-12 10:01:15.805131 : Epoch  8, Batch   1641, Loss  0.888415, Average Loss  0.869499, Time  0.349580
2021-09-12 10:01:27.298898 : Epoch  8, Batch   1642, Loss  0.848993, Average Loss  0.869429, Time  0.474123
2021-09-12 10:01:36.648663 : Epoch  8, Batch   1643, Loss  0.846816, Average Loss  0.869349, Time  0.351904
2021-09-12 10:01:47.013416 : Epoch  8, Batch   1644, Loss  0.868136, Average Loss  0.869357, Time  0.302603
2021-09-12 10:01:55.948602 : Epoch  8, Batch   1645, Loss  0.887277, Average Loss  0.869388, Time  0.556403
2021-09-12 10:02:04.890275 : Epoch  8, Batch   1646, Loss  0.870671, Average Loss  0.869434, Time  0.464846
2021-09-12 10:02:13.885742 : Epoch  8, Batch   1647, Loss  0.880558, Average Loss  0.869523, Time  0.236954
2021-09-12 10:02:18.651732 : Epoch  8, Batch   1648, Loss  0.872176, Average Loss  0.869525, Time  0.412297
2021-09-12 10:02:23.782665 : Epoch  8, Batch   1649, Loss  0.839755, Average Loss  0.869363, Time  0.236710
2021-09-12 10:02:32.510222 : Epoch  8, Batch   1650, Loss  0.850882, Average Loss  0.869282, Time  0.394163
2021-09-12 10:02:39.974018 : Epoch  8, Batch   1651, Loss  0.860874, Average Loss  0.869220, Time  0.322625
2021-09-12 10:02:46.183721 : Epoch  8, Batch   1652, Loss  0.857814, Average Loss  0.869147, Time  0.367611
2021-09-12 10:02:54.441933 : Epoch  8, Batch   1653, Loss  0.870117, Average Loss  0.869120, Time  0.342282
2021-09-12 10:03:02.756623 : Epoch  8, Batch   1654, Loss  0.869388, Average Loss  0.869100, Time  0.292945
2021-09-12 10:03:09.209750 : Epoch  8, Batch   1655, Loss  0.861319, Average Loss  0.869058, Time  0.387657
2021-09-12 10:03:16.557569 : Epoch  8, Batch   1656, Loss  0.861222, Average Loss  0.868969, Time  0.377280
2021-09-12 10:03:25.234622 : Epoch  8, Batch   1657, Loss  0.863436, Average Loss  0.869007, Time  0.529916
2021-09-12 10:03:31.585293 : Epoch  8, Batch   1658, Loss  0.894319, Average Loss  0.869029, Time  0.273240
2021-09-12 10:03:41.598735 : Epoch  8, Batch   1659, Loss  0.835540, Average Loss  0.868793, Time  0.417401
2021-09-12 10:03:50.293670 : Epoch  8, Batch   1660, Loss  0.853734, Average Loss  0.868702, Time  0.243935
2021-09-12 10:04:00.903959 : Epoch  8, Batch   1661, Loss  0.876271, Average Loss  0.868684, Time  0.374887
2021-09-12 10:04:08.666050 : Epoch  8, Batch   1662, Loss  0.866124, Average Loss  0.868624, Time  0.345749
2021-09-12 10:04:11.587741 : Epoch  8, Batch   1663, Loss  0.885396, Average Loss  0.868830, Time  0.289366
2021-09-12 10:04:21.363121 : Epoch  8, Batch   1664, Loss  0.873037, Average Loss  0.868842, Time  0.322503
2021-09-12 10:04:28.313857 : Epoch  8, Batch   1665, Loss  0.870161, Average Loss  0.868862, Time  0.382584
2021-09-12 10:04:33.834338 : Epoch  8, Batch   1666, Loss  0.871184, Average Loss  0.868859, Time  0.509739
2021-09-12 10:04:43.363054 : Epoch  8, Batch   1667, Loss  0.873967, Average Loss  0.868978, Time  0.297591
2021-09-12 10:04:50.486974 : Epoch  8, Batch   1668, Loss  0.874856, Average Loss  0.869034, Time  0.447627
2021-09-12 10:04:58.090182 : Epoch  8, Batch   1669, Loss  0.852788, Average Loss  0.868940, Time  0.360739
2021-09-12 10:05:06.481885 : Epoch  8, Batch   1670, Loss  0.872404, Average Loss  0.868933, Time  0.297440
2021-09-12 10:05:15.738664 : Epoch  8, Batch   1671, Loss  0.864613, Average Loss  0.868855, Time  0.325604
2021-09-12 10:05:26.195207 : Epoch  8, Batch   1672, Loss  0.877412, Average Loss  0.868899, Time  0.402311
2021-09-12 10:05:36.170786 : Epoch  8, Batch   1673, Loss  0.885563, Average Loss  0.869086, Time  0.413853
2021-09-12 10:05:42.236787 : Epoch  8, Batch   1674, Loss  0.873434, Average Loss  0.869034, Time  0.348223
2021-09-12 10:05:48.983187 : Epoch  8, Batch   1675, Loss  0.856672, Average Loss  0.868952, Time  0.419736
2021-09-12 10:05:56.772217 : Epoch  8, Batch   1676, Loss  0.869427, Average Loss  0.869009, Time  0.314594
2021-09-12 10:06:04.286796 : Epoch  8, Batch   1677, Loss  0.841376, Average Loss  0.868845, Time  0.242634
2021-09-12 10:06:12.736102 : Epoch  8, Batch   1678, Loss  0.870087, Average Loss  0.868896, Time  0.473812
2021-09-12 10:06:18.605063 : Epoch  8, Batch   1679, Loss  0.876134, Average Loss  0.868968, Time  0.505215
2021-09-12 10:06:27.366688 : Epoch  8, Batch   1680, Loss  0.859783, Average Loss  0.868948, Time  0.297986
2021-09-12 10:06:38.711737 : Epoch  8, Batch   1681, Loss  0.867221, Average Loss  0.868909, Time  0.650855
2021-09-12 10:06:50.230799 : Epoch  8, Batch   1682, Loss  0.860142, Average Loss  0.868842, Time  0.403629
2021-09-12 10:06:57.050784 : Epoch  8, Batch   1683, Loss  0.890173, Average Loss  0.869049, Time  0.386995
2021-09-12 10:07:06.599156 : Epoch  8, Batch   1684, Loss  0.880534, Average Loss  0.869068, Time  0.612226
2021-09-12 10:07:14.903165 : Epoch  8, Batch   1685, Loss  0.860583, Average Loss  0.869085, Time  0.413104
2021-09-12 10:07:24.986167 : Epoch  8, Batch   1686, Loss  0.880018, Average Loss  0.869117, Time  0.666693
2021-09-12 10:07:31.330953 : Epoch  8, Batch   1687, Loss  0.864265, Average Loss  0.869114, Time  0.323740
2021-09-12 10:07:40.909245 : Epoch  8, Batch   1688, Loss  0.883695, Average Loss  0.869102, Time  0.335015
2021-09-12 10:07:46.875772 : Epoch  8, Batch   1689, Loss  0.875181, Average Loss  0.869150, Time  0.275184
2021-09-12 10:07:53.387936 : Epoch  8, Batch   1690, Loss  0.874709, Average Loss  0.869186, Time  0.307443
2021-09-12 10:08:00.417017 : Epoch  8, Batch   1691, Loss  0.864368, Average Loss  0.869051, Time  0.365477
2021-09-12 10:08:07.544310 : Epoch  8, Batch   1692, Loss  0.866179, Average Loss  0.869063, Time  0.488130
2021-09-12 10:08:13.004684 : Epoch  8, Batch   1693, Loss  0.879861, Average Loss  0.869145, Time  0.368863
2021-09-12 10:08:21.037652 : Epoch  8, Batch   1694, Loss  0.871249, Average Loss  0.869193, Time  0.306770
2021-09-12 10:08:29.138900 : Epoch  8, Batch   1695, Loss  0.875726, Average Loss  0.869229, Time  0.364678
2021-09-12 10:08:38.337701 : Epoch  8, Batch   1696, Loss  0.869173, Average Loss  0.869276, Time  0.352184
2021-09-12 10:08:50.079958 : Epoch  8, Batch   1697, Loss  0.873372, Average Loss  0.869225, Time  0.493939
2021-09-12 10:08:58.909682 : Epoch  8, Batch   1698, Loss  0.892526, Average Loss  0.869395, Time  0.559991
2021-09-12 10:09:09.961759 : Epoch  8, Batch   1699, Loss  0.863296, Average Loss  0.869308, Time  0.400495
2021-09-12 10:09:16.453066 : Epoch  8, Batch   1700, Loss  0.849867, Average Loss  0.869240, Time  0.417665
2021-09-12 10:09:32.233510 : Epoch  8, Batch   1701, Loss  0.860595, Average Loss  0.869106, Time  0.551916
2021-09-12 10:09:43.069650 : Epoch  8, Batch   1702, Loss  0.921845, Average Loss  0.869403, Time  0.474665
2021-09-12 10:09:53.447098 : Epoch  8, Batch   1703, Loss  0.861535, Average Loss  0.869271, Time  0.238572
2021-09-12 10:09:56.345703 : Epoch  8, Batch   1704, Loss  0.885927, Average Loss  0.869284, Time  0.312390
2021-09-12 10:10:05.947825 : Epoch  8, Batch   1705, Loss  0.872120, Average Loss  0.869207, Time  0.312010
2021-09-12 10:10:17.504673 : Epoch  8, Batch   1706, Loss  0.875110, Average Loss  0.869162, Time  0.366366
2021-09-12 10:10:23.046744 : Epoch  8, Batch   1707, Loss  0.874020, Average Loss  0.869138, Time  0.397378
2021-09-12 10:10:29.007881 : Epoch  8, Batch   1708, Loss  0.861949, Average Loss  0.869043, Time  0.352816
2021-09-12 10:20:41.729743 : CheckPoint: Validation Loss  0.00031109, Best Loss  0.00029019
2021-09-12 10:20:45.425020 : Epoch  8, Batch   1709, Loss  0.867343, Average Loss  0.868972, Time  0.263442
2021-09-12 10:20:48.976719 : Epoch  8, Batch   1710, Loss  0.885929, Average Loss  0.869136, Time  0.267727
2021-09-12 10:20:54.374011 : Epoch  8, Batch   1711, Loss  0.869677, Average Loss  0.869066, Time  0.372470
2021-09-12 10:20:59.871304 : Epoch  8, Batch   1712, Loss  0.871981, Average Loss  0.869158, Time  0.390855
2021-09-12 10:21:03.650235 : Epoch  8, Batch   1713, Loss  0.878131, Average Loss  0.869275, Time  0.287630
2021-09-12 10:21:09.203883 : Epoch  8, Batch   1714, Loss  0.866111, Average Loss  0.869334, Time  0.265464
2021-09-12 10:21:13.151176 : Epoch  8, Batch   1715, Loss  0.885838, Average Loss  0.869484, Time  0.277476
2021-09-12 10:21:17.032117 : Epoch  8, Batch   1716, Loss  0.862141, Average Loss  0.869486, Time  0.319907
2021-09-12 10:21:21.145904 : Epoch  8, Batch   1717, Loss  0.884710, Average Loss  0.869497, Time  0.299059
2021-09-12 10:21:25.069719 : Epoch  8, Batch   1718, Loss  0.860863, Average Loss  0.869475, Time  0.276674
2021-09-12 10:21:37.354714 : Epoch  8, Batch   1719, Loss  0.876910, Average Loss  0.869688, Time  0.258697
2021-09-12 10:21:43.696483 : Epoch  8, Batch   1720, Loss  0.854316, Average Loss  0.869456, Time  0.449352
2021-09-12 10:21:49.479692 : Epoch  8, Batch   1721, Loss  0.861569, Average Loss  0.869443, Time  0.272411
2021-09-12 10:21:54.139049 : Epoch  8, Batch   1722, Loss  0.878844, Average Loss  0.869396, Time  0.310157
2021-09-12 10:21:59.496229 : Epoch  8, Batch   1723, Loss  0.866873, Average Loss  0.869496, Time  0.328422
2021-09-12 10:22:04.759978 : Epoch  8, Batch   1724, Loss  0.865444, Average Loss  0.869447, Time  0.260954
2021-09-12 10:22:11.882508 : Epoch  8, Batch   1725, Loss  0.879043, Average Loss  0.869581, Time  0.407682
2021-09-12 10:22:15.242199 : Epoch  8, Batch   1726, Loss  0.876998, Average Loss  0.869567, Time  0.264516
2021-09-12 10:22:20.487112 : Epoch  8, Batch   1727, Loss  0.846321, Average Loss  0.869352, Time  0.301623
2021-09-12 10:22:26.151026 : Epoch  8, Batch   1728, Loss  0.839823, Average Loss  0.869124, Time  0.244306
2021-09-12 10:22:30.765708 : Epoch  8, Batch   1729, Loss  0.883822, Average Loss  0.869094, Time  0.270562
2021-09-12 10:22:36.648967 : Epoch  8, Batch   1730, Loss  0.833697, Average Loss  0.868920, Time  0.307195
2021-09-12 10:22:43.368783 : Epoch  8, Batch   1731, Loss  0.837681, Average Loss  0.868795, Time  0.399395
2021-09-12 10:22:51.164191 : Epoch  8, Batch   1732, Loss  0.879248, Average Loss  0.868864, Time  0.520459
2021-09-12 10:22:57.341874 : Epoch  8, Batch   1733, Loss  0.879364, Average Loss  0.868879, Time  0.479223
2021-09-12 10:23:02.228429 : Epoch  8, Batch   1734, Loss  0.854632, Average Loss  0.868783, Time  0.262559
2021-09-12 10:23:09.305934 : Epoch  8, Batch   1735, Loss  0.841782, Average Loss  0.868623, Time  0.368909
2021-09-12 10:23:13.068378 : Epoch  8, Batch   1736, Loss  0.853559, Average Loss  0.868517, Time  0.333502
2021-09-12 10:23:19.867042 : Epoch  8, Batch   1737, Loss  0.823115, Average Loss  0.868292, Time  0.398015
2021-09-12 10:23:27.260019 : Epoch  8, Batch   1738, Loss  0.863858, Average Loss  0.868166, Time  0.402069
2021-09-12 10:23:35.079558 : Epoch  8, Batch   1739, Loss  0.872586, Average Loss  0.868154, Time  0.307612
2021-09-12 10:23:40.976513 : Epoch  8, Batch   1740, Loss  0.869860, Average Loss  0.868137, Time  0.338435
2021-09-12 10:23:46.617980 : Epoch  8, Batch   1741, Loss  0.874751, Average Loss  0.868157, Time  0.248730
2021-09-12 10:23:51.967915 : Epoch  8, Batch   1742, Loss  0.862109, Average Loss  0.868121, Time  0.237353
2021-09-12 10:23:57.538803 : Epoch  8, Batch   1743, Loss  0.879168, Average Loss  0.868173, Time  0.244512
2021-09-12 10:24:01.677265 : Epoch  8, Batch   1744, Loss  0.869211, Average Loss  0.868274, Time  0.237234
2021-09-12 10:24:07.230780 : Epoch  8, Batch   1745, Loss  0.886971, Average Loss  0.868281, Time  0.330084
2021-09-12 10:24:12.754763 : Epoch  8, Batch   1746, Loss  0.861306, Average Loss  0.868305, Time  0.361255
2021-09-12 10:24:17.603900 : Epoch  8, Batch   1747, Loss  0.877187, Average Loss  0.868309, Time  0.365691
2021-09-12 10:24:25.336758 : Epoch  8, Batch   1748, Loss  0.853195, Average Loss  0.868170, Time  0.308362
2021-09-12 10:24:30.188049 : Epoch  8, Batch   1749, Loss  0.888614, Average Loss  0.868225, Time  0.305420
2021-09-12 10:24:35.519285 : Epoch  8, Batch   1750, Loss  0.869772, Average Loss  0.868195, Time  0.304141
2021-09-12 10:24:41.645858 : Epoch  8, Batch   1751, Loss  0.865297, Average Loss  0.868204, Time  0.440406
2021-09-12 10:24:46.193104 : Epoch  8, Batch   1752, Loss  0.883642, Average Loss  0.868377, Time  0.307531
2021-09-12 10:24:48.817973 : Epoch  8, Batch   1753, Loss  0.882958, Average Loss  0.868405, Time  0.290413
2021-09-12 10:24:54.770070 : Epoch  8, Batch   1754, Loss  0.864900, Average Loss  0.868401, Time  0.248668
2021-09-12 10:25:01.085665 : Epoch  8, Batch   1755, Loss  0.869392, Average Loss  0.868406, Time  0.308332
2021-09-12 10:25:08.081684 : Epoch  8, Batch   1756, Loss  0.864907, Average Loss  0.868408, Time  0.369179
2021-09-12 10:25:13.911243 : Epoch  8, Batch   1757, Loss  0.863685, Average Loss  0.868351, Time  0.301047
2021-09-12 10:25:18.628114 : Epoch  8, Batch   1758, Loss  0.887603, Average Loss  0.868382, Time  0.423557
2021-09-12 10:25:23.054945 : Epoch  8, Batch   1759, Loss  0.870694, Average Loss  0.868332, Time  0.237531
2021-09-12 10:25:27.967362 : Epoch  8, Batch   1760, Loss  0.870203, Average Loss  0.868299, Time  0.237747
2021-09-12 10:25:31.589831 : Epoch  8, Batch   1761, Loss  0.882257, Average Loss  0.868393, Time  0.248186
2021-09-12 10:25:37.662299 : Epoch  8, Batch   1762, Loss  0.859028, Average Loss  0.868323, Time  0.350984
2021-09-12 10:25:44.486245 : Epoch  8, Batch   1763, Loss  0.897102, Average Loss  0.868531, Time  0.418841
2021-09-12 10:25:53.216225 : Epoch  8, Batch   1764, Loss  0.871075, Average Loss  0.868566, Time  0.506667
2021-09-12 10:26:01.556098 : Epoch  8, Batch   1765, Loss  0.869832, Average Loss  0.868440, Time  0.324624
2021-09-12 10:26:09.865094 : Epoch  8, Batch   1766, Loss  0.844049, Average Loss  0.868387, Time  0.298958
2021-09-12 10:26:18.976213 : Epoch  8, Batch   1767, Loss  0.868439, Average Loss  0.868506, Time  0.455779
2021-09-12 10:26:27.515825 : Epoch  8, Batch   1768, Loss  0.873279, Average Loss  0.868463, Time  0.256598
2021-09-12 10:26:34.948445 : Epoch  8, Batch   1769, Loss  0.885001, Average Loss  0.868612, Time  0.348302
2021-09-12 10:26:39.251065 : Epoch  8, Batch   1770, Loss  0.864333, Average Loss  0.868659, Time  0.371477
2021-09-12 10:26:41.944172 : Epoch  8, Batch   1771, Loss  0.872745, Average Loss  0.868646, Time  0.287510
2021-09-12 10:26:47.994248 : Epoch  8, Batch   1772, Loss  0.864287, Average Loss  0.868563, Time  0.262002
2021-09-12 10:26:51.164328 : Epoch  8, Batch   1773, Loss  0.876656, Average Loss  0.868558, Time  0.260544
2021-09-12 10:26:55.887063 : Epoch  8, Batch   1774, Loss  0.857114, Average Loss  0.868411, Time  0.242090
2021-09-12 10:27:00.911866 : Epoch  8, Batch   1775, Loss  0.880150, Average Loss  0.868469, Time  0.311762
2021-09-12 10:27:05.570868 : Epoch  8, Batch   1776, Loss  0.857048, Average Loss  0.868367, Time  0.284759
2021-09-12 10:27:13.130715 : Epoch  8, Batch   1777, Loss  0.870148, Average Loss  0.868374, Time  0.328739
2021-09-12 10:27:16.330979 : Epoch  8, Batch   1778, Loss  0.877765, Average Loss  0.868467, Time  0.311699
2021-09-12 10:27:19.933836 : Epoch  8, Batch   1779, Loss  0.854513, Average Loss  0.868384, Time  0.280316
2021-09-12 10:27:25.454760 : Epoch  8, Batch   1780, Loss  0.863479, Average Loss  0.868299, Time  0.386214
2021-09-12 10:27:30.394674 : Epoch  8, Batch   1781, Loss  0.858582, Average Loss  0.868228, Time  0.323293
2021-09-12 10:27:33.609046 : Epoch  8, Batch   1782, Loss  0.879405, Average Loss  0.868258, Time  0.249936
2021-09-12 10:27:39.888372 : Epoch  8, Batch   1783, Loss  0.868772, Average Loss  0.868285, Time  0.360840
2021-09-12 10:27:46.294357 : Epoch  8, Batch   1784, Loss  0.869560, Average Loss  0.868237, Time  0.291569
2021-09-12 10:27:50.487832 : Epoch  8, Batch   1785, Loss  0.874594, Average Loss  0.868231, Time  0.273857
2021-09-12 10:27:56.678104 : Epoch  8, Batch   1786, Loss  0.851308, Average Loss  0.868264, Time  0.265166
2021-09-12 10:28:03.063421 : Epoch  8, Batch   1787, Loss  0.867277, Average Loss  0.868290, Time  0.351659
2021-09-12 10:28:10.928047 : Epoch  8, Batch   1788, Loss  0.877505, Average Loss  0.868431, Time  0.321304
2021-09-12 10:28:18.416354 : Epoch  8, Batch   1789, Loss  0.872088, Average Loss  0.868524, Time  0.462734
2021-09-12 10:28:24.185332 : Epoch  8, Batch   1790, Loss  0.860317, Average Loss  0.868402, Time  0.348770
2021-09-12 10:28:28.063992 : Epoch  8, Batch   1791, Loss  0.878091, Average Loss  0.868347, Time  0.296978
2021-09-12 10:28:33.227962 : Epoch  8, Batch   1792, Loss  0.881465, Average Loss  0.868416, Time  0.274947
2021-09-12 10:28:37.176674 : Epoch  8, Batch   1793, Loss  0.884997, Average Loss  0.868597, Time  0.281998
2021-09-12 10:28:42.835735 : Epoch  8, Batch   1794, Loss  0.872212, Average Loss  0.868541, Time  0.295389
2021-09-12 10:28:50.735836 : Epoch  8, Batch   1795, Loss  0.891725, Average Loss  0.868611, Time  0.296296
2021-09-12 10:28:56.213729 : Epoch  8, Batch   1796, Loss  0.883406, Average Loss  0.868677, Time  0.305929
2021-09-12 10:29:02.506139 : Epoch  8, Batch   1797, Loss  0.854771, Average Loss  0.868504, Time  0.287884
2021-09-12 10:29:11.169437 : Epoch  8, Batch   1798, Loss  0.872120, Average Loss  0.868562, Time  0.283688
2021-09-12 10:29:16.666680 : Epoch  8, Batch   1799, Loss  0.874488, Average Loss  0.868582, Time  0.272453
2021-09-12 10:29:22.012995 : Epoch  8, Batch   1800, Loss  0.867923, Average Loss  0.868623, Time  0.238406
2021-09-12 10:29:29.124053 : Epoch  8, Batch   1801, Loss  0.874611, Average Loss  0.868726, Time  0.287996
2021-09-12 10:29:36.555744 : Epoch  8, Batch   1802, Loss  0.874269, Average Loss  0.868799, Time  0.614889
2021-09-12 10:29:40.176516 : Epoch  8, Batch   1803, Loss  0.852063, Average Loss  0.868765, Time  0.296284
2021-09-12 10:29:45.032345 : Epoch  8, Batch   1804, Loss  0.870239, Average Loss  0.868674, Time  0.298001
2021-09-12 10:29:50.900786 : Epoch  8, Batch   1805, Loss  0.868560, Average Loss  0.868713, Time  0.345888
2021-09-12 10:29:55.794051 : Epoch  8, Batch   1806, Loss  0.850899, Average Loss  0.868629, Time  0.275756
2021-09-12 10:30:01.971059 : Epoch  8, Batch   1807, Loss  0.856101, Average Loss  0.868486, Time  0.278938
2021-09-12 10:30:04.916201 : Epoch  8, Batch   1808, Loss  0.862526, Average Loss  0.868458, Time  0.309592
2021-09-12 10:39:29.178714 : CheckPoint: Validation Loss  0.00031033, Best Loss  0.00029019
2021-09-12 10:39:36.844307 : Epoch  8, Batch   1809, Loss  0.878352, Average Loss  0.868424, Time  0.310176
2021-09-12 10:39:42.617924 : Epoch  8, Batch   1810, Loss  0.867599, Average Loss  0.868477, Time  0.317157
2021-09-12 10:39:48.830914 : Epoch  8, Batch   1811, Loss  0.870382, Average Loss  0.868558, Time  0.356518
2021-09-12 10:39:52.723177 : Epoch  8, Batch   1812, Loss  0.879129, Average Loss  0.868635, Time  0.259539
2021-09-12 10:39:56.530787 : Epoch  8, Batch   1813, Loss  0.866122, Average Loss  0.868533, Time  0.267232
2021-09-12 10:39:59.155361 : Epoch  8, Batch   1814, Loss  0.854413, Average Loss  0.868428, Time  0.260718
2021-09-12 10:40:03.691780 : Epoch  8, Batch   1815, Loss  0.858683, Average Loss  0.868365, Time  0.305779
2021-09-12 10:40:11.180623 : Epoch  8, Batch   1816, Loss  0.861179, Average Loss  0.868380, Time  0.310782
2021-09-12 10:40:19.173825 : Epoch  8, Batch   1817, Loss  0.861642, Average Loss  0.868359, Time  0.367964
2021-09-12 10:40:25.472732 : Epoch  8, Batch   1818, Loss  0.875322, Average Loss  0.868309, Time  0.286940
2021-09-12 10:40:32.608312 : Epoch  8, Batch   1819, Loss  0.867276, Average Loss  0.868348, Time  0.398659
2021-09-12 10:40:39.314773 : Epoch  8, Batch   1820, Loss  0.860269, Average Loss  0.868463, Time  0.329491
2021-09-12 10:40:44.773830 : Epoch  8, Batch   1821, Loss  0.876529, Average Loss  0.868560, Time  0.260891
2021-09-12 10:40:49.751867 : Epoch  8, Batch   1822, Loss  0.885343, Average Loss  0.868600, Time  0.317789
2021-09-12 10:40:54.919347 : Epoch  8, Batch   1823, Loss  0.858452, Average Loss  0.868634, Time  0.370417
2021-09-12 10:41:03.494005 : Epoch  8, Batch   1824, Loss  0.849105, Average Loss  0.868579, Time  0.395242
2021-09-12 10:41:11.991909 : Epoch  8, Batch   1825, Loss  0.850399, Average Loss  0.868475, Time  0.402859
2021-09-12 10:41:19.931886 : Epoch  8, Batch   1826, Loss  0.890938, Average Loss  0.868531, Time  0.393321
2021-09-12 10:41:27.573715 : Epoch  8, Batch   1827, Loss  0.853354, Average Loss  0.868490, Time  0.351293
2021-09-12 10:41:35.872253 : Epoch  8, Batch   1828, Loss  0.849156, Average Loss  0.868346, Time  0.390036
2021-09-12 10:41:42.115883 : Epoch  8, Batch   1829, Loss  0.868895, Average Loss  0.868408, Time  0.314857
2021-09-12 10:41:49.432292 : Epoch  8, Batch   1830, Loss  0.855895, Average Loss  0.868320, Time  0.337222
2021-09-12 10:41:55.877887 : Epoch  8, Batch   1831, Loss  0.865515, Average Loss  0.868264, Time  0.322488
2021-09-12 10:42:03.035793 : Epoch  8, Batch   1832, Loss  0.853896, Average Loss  0.868333, Time  0.345600
2021-09-12 10:42:12.268980 : Epoch  8, Batch   1833, Loss  0.874710, Average Loss  0.868395, Time  0.407649
2021-09-12 10:42:18.882259 : Epoch  8, Batch   1834, Loss  0.874566, Average Loss  0.868507, Time  0.364074
2021-09-12 10:42:24.433985 : Epoch  8, Batch   1835, Loss  0.876112, Average Loss  0.868513, Time  0.294799
2021-09-12 10:42:32.178150 : Epoch  8, Batch   1836, Loss  0.876977, Average Loss  0.868578, Time  0.263648
2021-09-12 10:42:35.993927 : Epoch  8, Batch   1837, Loss  0.844916, Average Loss  0.868444, Time  0.318288
2021-09-12 10:42:42.342871 : Epoch  8, Batch   1838, Loss  0.874342, Average Loss  0.868430, Time  0.392522
2021-09-12 10:42:46.393252 : Epoch  8, Batch   1839, Loss  0.865512, Average Loss  0.868375, Time  0.336337
2021-09-12 10:42:54.525198 : Epoch  8, Batch   1840, Loss  0.885291, Average Loss  0.868567, Time  0.276027
2021-09-12 10:43:00.458574 : Epoch  8, Batch   1841, Loss  0.849336, Average Loss  0.868372, Time  0.436573
2021-09-12 10:43:07.436706 : Epoch  8, Batch   1842, Loss  0.882712, Average Loss  0.868540, Time  0.269203
2021-09-12 10:43:16.487867 : Epoch  8, Batch   1843, Loss  0.883353, Average Loss  0.868723, Time  0.313269
2021-09-12 10:43:23.128242 : Epoch  8, Batch   1844, Loss  0.857009, Average Loss  0.868667, Time  0.363769
2021-09-12 10:43:30.785344 : Epoch  8, Batch   1845, Loss  0.861980, Average Loss  0.868541, Time  0.431023
2021-09-12 10:43:38.912667 : Epoch  8, Batch   1846, Loss  0.851841, Average Loss  0.868447, Time  0.297520
2021-09-12 10:43:44.071768 : Epoch  8, Batch   1847, Loss  0.871237, Average Loss  0.868400, Time  0.300852
2021-09-12 10:43:50.978762 : Epoch  8, Batch   1848, Loss  0.863478, Average Loss  0.868357, Time  0.306538
2021-09-12 10:43:57.441414 : Epoch  8, Batch   1849, Loss  0.871271, Average Loss  0.868514, Time  0.511068
2021-09-12 10:44:06.274971 : Epoch  8, Batch   1850, Loss  0.871826, Average Loss  0.868619, Time  0.246637
2021-09-12 10:44:11.842853 : Epoch  8, Batch   1851, Loss  0.870242, Average Loss  0.868666, Time  0.298807
2021-09-12 10:44:18.518302 : Epoch  8, Batch   1852, Loss  0.868999, Average Loss  0.868722, Time  0.284405
2021-09-12 10:44:23.852231 : Epoch  8, Batch   1853, Loss  0.857790, Average Loss  0.868660, Time  0.313659
2021-09-12 10:44:29.079594 : Epoch  8, Batch   1854, Loss  0.864453, Average Loss  0.868635, Time  0.304537
2021-09-12 10:44:35.780896 : Epoch  8, Batch   1855, Loss  0.875658, Average Loss  0.868707, Time  0.340036
2021-09-12 10:44:42.300932 : Epoch  8, Batch   1856, Loss  0.846145, Average Loss  0.868632, Time  0.486572
2021-09-12 10:44:42.344691 : Saving Model after 8-th Epoch.
2021-09-12 10:44:43.453925 : Epoch Finished.
2021-09-12 10:44:55.774972 : Batch Shuffled
2021-09-12 10:45:03.504209 : Epoch  9, Batch      1, Loss  0.866949, Average Loss  0.868649, Time  0.239664
2021-09-12 10:45:10.626909 : Epoch  9, Batch      2, Loss  0.859356, Average Loss  0.868475, Time  0.426645
2021-09-12 10:45:19.395919 : Epoch  9, Batch      3, Loss  0.861721, Average Loss  0.868605, Time  0.316689
2021-09-12 10:45:24.915985 : Epoch  9, Batch      4, Loss  0.853251, Average Loss  0.868603, Time  0.402218
2021-09-12 10:45:30.061930 : Epoch  9, Batch      5, Loss  0.871245, Average Loss  0.868578, Time  0.295989
2021-09-12 10:45:38.652301 : Epoch  9, Batch      6, Loss  0.858004, Average Loss  0.868537, Time  0.312523
2021-09-12 10:45:45.410490 : Epoch  9, Batch      7, Loss  0.872766, Average Loss  0.868474, Time  0.266960
2021-09-12 10:45:51.789727 : Epoch  9, Batch      8, Loss  0.876247, Average Loss  0.868490, Time  0.334501
2021-09-12 10:45:58.670693 : Epoch  9, Batch      9, Loss  0.870325, Average Loss  0.868491, Time  0.464252
2021-09-12 10:46:05.707854 : Epoch  9, Batch     10, Loss  0.863837, Average Loss  0.868454, Time  0.302566
2021-09-12 10:46:13.369940 : Epoch  9, Batch     11, Loss  0.840863, Average Loss  0.868289, Time  0.304877
2021-09-12 10:46:20.502440 : Epoch  9, Batch     12, Loss  0.868284, Average Loss  0.868256, Time  0.407538
2021-09-12 10:46:25.314261 : Epoch  9, Batch     13, Loss  0.896962, Average Loss  0.868477, Time  0.387675
2021-09-12 10:46:29.811900 : Epoch  9, Batch     14, Loss  0.862322, Average Loss  0.868426, Time  0.291402
2021-09-12 10:46:37.288592 : Epoch  9, Batch     15, Loss  0.875488, Average Loss  0.868481, Time  0.340921
2021-09-12 10:46:44.700927 : Epoch  9, Batch     16, Loss  0.862985, Average Loss  0.868409, Time  0.375531
2021-09-12 10:46:50.078306 : Epoch  9, Batch     17, Loss  0.880997, Average Loss  0.868386, Time  0.272865
2021-09-12 10:46:54.233228 : Epoch  9, Batch     18, Loss  0.879039, Average Loss  0.868414, Time  0.414726
2021-09-12 10:47:02.397069 : Epoch  9, Batch     19, Loss  0.874832, Average Loss  0.868505, Time  0.309989
2021-09-12 10:47:07.387043 : Epoch  9, Batch     20, Loss  0.868250, Average Loss  0.868499, Time  0.393356
2021-09-12 10:47:15.708129 : Epoch  9, Batch     21, Loss  0.862099, Average Loss  0.868602, Time  0.258467
2021-09-12 10:47:20.756816 : Epoch  9, Batch     22, Loss  0.856929, Average Loss  0.868537, Time  0.273501
2021-09-12 10:47:26.465821 : Epoch  9, Batch     23, Loss  0.865283, Average Loss  0.868482, Time  0.299984
2021-09-12 10:47:31.755764 : Epoch  9, Batch     24, Loss  0.858485, Average Loss  0.868476, Time  0.372266
2021-09-12 10:47:35.242268 : Epoch  9, Batch     25, Loss  0.866550, Average Loss  0.868472, Time  0.300374
2021-09-12 10:47:40.740337 : Epoch  9, Batch     26, Loss  0.856184, Average Loss  0.868453, Time  0.410573
2021-09-12 10:47:46.126167 : Epoch  9, Batch     27, Loss  0.861338, Average Loss  0.868309, Time  0.266031
2021-09-12 10:47:51.273822 : Epoch  9, Batch     28, Loss  0.856579, Average Loss  0.868189, Time  0.277508
2021-09-12 10:47:56.776646 : Epoch  9, Batch     29, Loss  0.890422, Average Loss  0.868338, Time  0.287043
2021-09-12 10:48:01.769890 : Epoch  9, Batch     30, Loss  0.872835, Average Loss  0.868302, Time  0.306570
2021-09-12 10:48:10.437818 : Epoch  9, Batch     31, Loss  0.878258, Average Loss  0.868372, Time  0.355453
2021-09-12 10:48:16.043918 : Epoch  9, Batch     32, Loss  0.866478, Average Loss  0.868286, Time  0.337460
2021-09-12 10:48:23.807700 : Epoch  9, Batch     33, Loss  0.863225, Average Loss  0.868226, Time  0.270319
2021-09-12 10:48:28.532268 : Epoch  9, Batch     34, Loss  0.858519, Average Loss  0.868145, Time  0.301849
2021-09-12 10:48:32.932793 : Epoch  9, Batch     35, Loss  0.870288, Average Loss  0.868175, Time  0.294046
2021-09-12 10:48:39.301754 : Epoch  9, Batch     36, Loss  0.878406, Average Loss  0.868236, Time  0.317400
2021-09-12 10:48:46.106725 : Epoch  9, Batch     37, Loss  0.849395, Average Loss  0.868084, Time  0.401346
2021-09-12 10:48:52.308617 : Epoch  9, Batch     38, Loss  0.874490, Average Loss  0.868100, Time  0.344828
2021-09-12 10:48:57.695144 : Epoch  9, Batch     39, Loss  0.872744, Average Loss  0.868085, Time  0.238169
2021-09-12 10:49:00.865040 : Epoch  9, Batch     40, Loss  0.824764, Average Loss  0.867863, Time  0.426039
2021-09-12 10:49:04.613031 : Epoch  9, Batch     41, Loss  0.867570, Average Loss  0.867834, Time  0.262956
2021-09-12 10:49:12.154113 : Epoch  9, Batch     42, Loss  0.867215, Average Loss  0.867707, Time  0.365008
2021-09-12 10:49:16.069966 : Epoch  9, Batch     43, Loss  0.879305, Average Loss  0.867787, Time  0.273373
2021-09-12 10:49:20.002529 : Epoch  9, Batch     44, Loss  0.882530, Average Loss  0.867951, Time  0.298441
2021-09-12 10:49:27.024801 : Epoch  9, Batch     45, Loss  0.881236, Average Loss  0.868054, Time  0.345540
2021-09-12 10:49:30.734217 : Epoch  9, Batch     46, Loss  0.864329, Average Loss  0.867766, Time  0.351452
2021-09-12 10:49:38.064605 : Epoch  9, Batch     47, Loss  0.875020, Average Loss  0.867834, Time  0.285740
2021-09-12 10:49:43.471717 : Epoch  9, Batch     48, Loss  0.856174, Average Loss  0.867685, Time  0.270457
2021-09-12 10:49:49.328158 : Epoch  9, Batch     49, Loss  0.842946, Average Loss  0.867539, Time  0.307229
2021-09-12 10:49:54.138448 : Epoch  9, Batch     50, Loss  0.873316, Average Loss  0.867530, Time  0.312979
2021-09-12 10:49:59.638942 : Epoch  9, Batch     51, Loss  0.879556, Average Loss  0.867558, Time  0.281662
2021-09-12 10:50:05.653281 : Epoch  9, Batch     52, Loss  0.884161, Average Loss  0.867669, Time  0.287893
2021-09-12 10:57:57.762725 : CheckPoint: Validation Loss  0.00030193, Best Loss  0.00029019
2021-09-12 10:58:03.153127 : Epoch  9, Batch     53, Loss  0.880690, Average Loss  0.867736, Time  0.342041
2021-09-12 10:58:09.893864 : Epoch  9, Batch     54, Loss  0.857845, Average Loss  0.867595, Time  0.320572
2021-09-12 10:58:15.460059 : Epoch  9, Batch     55, Loss  0.883500, Average Loss  0.867664, Time  0.347811
2021-09-12 10:58:22.402958 : Epoch  9, Batch     56, Loss  0.867000, Average Loss  0.867639, Time  0.312159
2021-09-12 10:58:28.172866 : Epoch  9, Batch     57, Loss  0.875196, Average Loss  0.867625, Time  0.302718
2021-09-12 10:58:36.148987 : Epoch  9, Batch     58, Loss  0.888220, Average Loss  0.867735, Time  0.301727
2021-09-12 10:58:44.332365 : Epoch  9, Batch     59, Loss  0.891814, Average Loss  0.867765, Time  0.429752
2021-09-12 10:58:51.042002 : Epoch  9, Batch     60, Loss  0.860047, Average Loss  0.867755, Time  0.362080
2021-09-12 10:58:58.894234 : Epoch  9, Batch     61, Loss  0.858097, Average Loss  0.867622, Time  0.249937
2021-09-12 10:59:06.128750 : Epoch  9, Batch     62, Loss  0.881319, Average Loss  0.867724, Time  0.300015
2021-09-12 10:59:12.348318 : Epoch  9, Batch     63, Loss  0.878752, Average Loss  0.867733, Time  0.365929
2021-09-12 10:59:18.351041 : Epoch  9, Batch     64, Loss  0.875202, Average Loss  0.867837, Time  0.269752
2021-09-12 10:59:24.430253 : Epoch  9, Batch     65, Loss  0.848963, Average Loss  0.867774, Time  0.373093
2021-09-12 10:59:31.430779 : Epoch  9, Batch     66, Loss  0.861115, Average Loss  0.867686, Time  0.408502
2021-09-12 10:59:38.260339 : Epoch  9, Batch     67, Loss  0.877590, Average Loss  0.867739, Time  0.294186
2021-09-12 10:59:45.718134 : Epoch  9, Batch     68, Loss  0.903211, Average Loss  0.867928, Time  0.309700
2021-09-12 10:59:51.258269 : Epoch  9, Batch     69, Loss  0.853898, Average Loss  0.867802, Time  0.374454
2021-09-12 10:59:58.688002 : Epoch  9, Batch     70, Loss  0.847715, Average Loss  0.867656, Time  0.346917
2021-09-12 11:00:03.920880 : Epoch  9, Batch     71, Loss  0.872823, Average Loss  0.867789, Time  0.332004
2021-09-12 11:00:09.890279 : Epoch  9, Batch     72, Loss  0.876982, Average Loss  0.867974, Time  0.269435
2021-09-12 11:00:15.305068 : Epoch  9, Batch     73, Loss  0.859328, Average Loss  0.867852, Time  0.270747
2021-09-12 11:00:21.991087 : Epoch  9, Batch     74, Loss  0.866077, Average Loss  0.868014, Time  0.273917
2021-09-12 11:00:28.092673 : Epoch  9, Batch     75, Loss  0.874277, Average Loss  0.868197, Time  0.272693
2021-09-12 11:00:35.466011 : Epoch  9, Batch     76, Loss  0.855677, Average Loss  0.868079, Time  0.292128
2021-09-12 11:00:39.619034 : Epoch  9, Batch     77, Loss  0.868220, Average Loss  0.868023, Time  0.300433
2021-09-12 11:00:44.600915 : Epoch  9, Batch     78, Loss  0.866399, Average Loss  0.868082, Time  0.352350
2021-09-12 11:00:48.784095 : Epoch  9, Batch     79, Loss  0.869364, Average Loss  0.868220, Time  0.276068
2021-09-12 11:00:53.168875 : Epoch  9, Batch     80, Loss  0.853580, Average Loss  0.868220, Time  0.237832
2021-09-12 11:00:57.976374 : Epoch  9, Batch     81, Loss  0.860518, Average Loss  0.868407, Time  0.256462
2021-09-12 11:01:05.802898 : Epoch  9, Batch     82, Loss  0.873288, Average Loss  0.868454, Time  0.239072
2021-09-12 11:01:10.164253 : Epoch  9, Batch     83, Loss  0.873678, Average Loss  0.868460, Time  0.282191
2021-09-12 11:01:15.218169 : Epoch  9, Batch     84, Loss  0.859910, Average Loss  0.868410, Time  0.354850
2021-09-12 11:01:19.366334 : Epoch  9, Batch     85, Loss  0.869492, Average Loss  0.868384, Time  0.273403
2021-09-12 11:01:24.540166 : Epoch  9, Batch     86, Loss  0.858080, Average Loss  0.868363, Time  0.278391
2021-09-12 11:01:30.788204 : Epoch  9, Batch     87, Loss  0.870167, Average Loss  0.868318, Time  0.340177
2021-09-12 11:01:37.725609 : Epoch  9, Batch     88, Loss  0.897372, Average Loss  0.868459, Time  0.372923
2021-09-12 11:01:43.305158 : Epoch  9, Batch     89, Loss  0.871126, Average Loss  0.868380, Time  0.247644
2021-09-12 11:01:47.836069 : Epoch  9, Batch     90, Loss  0.853928, Average Loss  0.868343, Time  0.297871
2021-09-12 11:01:53.404180 : Epoch  9, Batch     91, Loss  0.877881, Average Loss  0.868347, Time  0.286069
2021-09-12 11:01:59.399100 : Epoch  9, Batch     92, Loss  0.870520, Average Loss  0.868433, Time  0.267813
2021-09-12 11:02:04.575972 : Epoch  9, Batch     93, Loss  0.861845, Average Loss  0.868299, Time  0.253306
2021-09-12 11:02:08.698152 : Epoch  9, Batch     94, Loss  0.871649, Average Loss  0.868309, Time  0.297545
2021-09-12 11:02:12.589635 : Epoch  9, Batch     95, Loss  0.861914, Average Loss  0.868292, Time  0.256395
2021-09-12 11:02:16.847876 : Epoch  9, Batch     96, Loss  0.865047, Average Loss  0.868199, Time  0.312159
2021-09-12 11:02:21.323515 : Epoch  9, Batch     97, Loss  0.879328, Average Loss  0.868181, Time  0.268601
2021-09-12 11:02:24.381420 : Epoch  9, Batch     98, Loss  0.881496, Average Loss  0.868264, Time  0.366799
2021-09-12 11:02:30.526085 : Epoch  9, Batch     99, Loss  0.876866, Average Loss  0.868301, Time  0.323138
2021-09-12 11:02:36.483809 : Epoch  9, Batch    100, Loss  0.872866, Average Loss  0.868341, Time  0.282433
2021-09-12 11:02:42.538165 : Epoch  9, Batch    101, Loss  0.872676, Average Loss  0.868386, Time  0.305933
2021-09-12 11:02:46.933856 : Epoch  9, Batch    102, Loss  0.860006, Average Loss  0.868248, Time  0.325056
2021-09-12 11:02:52.277869 : Epoch  9, Batch    103, Loss  0.886198, Average Loss  0.868325, Time  0.324075
2021-09-12 11:02:58.310124 : Epoch  9, Batch    104, Loss  0.879776, Average Loss  0.868373, Time  0.257653
2021-09-12 11:03:01.997358 : Epoch  9, Batch    105, Loss  0.877335, Average Loss  0.868349, Time  0.429534
2021-09-12 11:03:05.414834 : Epoch  9, Batch    106, Loss  0.861011, Average Loss  0.868359, Time  0.281484
2021-09-12 11:03:10.302751 : Epoch  9, Batch    107, Loss  0.878500, Average Loss  0.868266, Time  0.309793
2021-09-12 11:03:17.345531 : Epoch  9, Batch    108, Loss  0.890771, Average Loss  0.868364, Time  0.341836
2021-09-12 11:03:23.134605 : Epoch  9, Batch    109, Loss  0.879041, Average Loss  0.868410, Time  0.263118
2021-09-12 11:03:27.675014 : Epoch  9, Batch    110, Loss  0.878627, Average Loss  0.868583, Time  0.278127
2021-09-12 11:03:35.423066 : Epoch  9, Batch    111, Loss  0.867540, Average Loss  0.868578, Time  0.297584
2021-09-12 11:03:39.169077 : Epoch  9, Batch    112, Loss  0.857251, Average Loss  0.868498, Time  0.243264
2021-09-12 11:03:43.139032 : Epoch  9, Batch    113, Loss  0.855289, Average Loss  0.868350, Time  0.254735
2021-09-12 11:03:47.203599 : Epoch  9, Batch    114, Loss  0.856241, Average Loss  0.868309, Time  0.268964
2021-09-12 11:03:54.712619 : Epoch  9, Batch    115, Loss  0.877486, Average Loss  0.868333, Time  0.346164
2021-09-12 11:04:00.630668 : Epoch  9, Batch    116, Loss  0.854048, Average Loss  0.868282, Time  0.247046
2021-09-12 11:04:05.307282 : Epoch  9, Batch    117, Loss  0.876674, Average Loss  0.868282, Time  0.261606
2021-09-12 11:04:10.254702 : Epoch  9, Batch    118, Loss  0.864550, Average Loss  0.868319, Time  0.310146
2021-09-12 11:04:15.373394 : Epoch  9, Batch    119, Loss  0.867580, Average Loss  0.868256, Time  0.302551
2021-09-12 11:04:20.253710 : Epoch  9, Batch    120, Loss  0.867920, Average Loss  0.868311, Time  0.251286
2021-09-12 11:04:30.928802 : Epoch  9, Batch    121, Loss  0.872280, Average Loss  0.868321, Time  0.329602
2021-09-12 11:04:38.561965 : Epoch  9, Batch    122, Loss  0.855579, Average Loss  0.868210, Time  0.400883
2021-09-12 11:04:43.903345 : Epoch  9, Batch    123, Loss  0.852807, Average Loss  0.868202, Time  0.315610
2021-09-12 11:04:49.612956 : Epoch  9, Batch    124, Loss  0.877893, Average Loss  0.868274, Time  0.329285
2021-09-12 11:04:54.895249 : Epoch  9, Batch    125, Loss  0.846135, Average Loss  0.868212, Time  0.287307
2021-09-12 11:04:57.533040 : Epoch  9, Batch    126, Loss  0.869233, Average Loss  0.868161, Time  0.292271
2021-09-12 11:05:02.452232 : Epoch  9, Batch    127, Loss  0.873719, Average Loss  0.868186, Time  0.255939
2021-09-12 11:05:05.221475 : Epoch  9, Batch    128, Loss  0.883073, Average Loss  0.868253, Time  0.238357
2021-09-12 11:05:08.862208 : Epoch  9, Batch    129, Loss  0.872689, Average Loss  0.868244, Time  0.269269
2021-09-12 11:05:14.972228 : Epoch  9, Batch    130, Loss  0.884390, Average Loss  0.868409, Time  0.238503
2021-09-12 11:05:21.445280 : Epoch  9, Batch    131, Loss  0.870929, Average Loss  0.868427, Time  0.375147
2021-09-12 11:05:27.461926 : Epoch  9, Batch    132, Loss  0.890091, Average Loss  0.868490, Time  0.263248
2021-09-12 11:05:32.189267 : Epoch  9, Batch    133, Loss  0.862658, Average Loss  0.868443, Time  0.340830
2021-09-12 11:05:37.235315 : Epoch  9, Batch    134, Loss  0.862677, Average Loss  0.868455, Time  0.272733
2021-09-12 11:05:41.695546 : Epoch  9, Batch    135, Loss  0.871206, Average Loss  0.868420, Time  0.285637
2021-09-12 11:05:46.528360 : Epoch  9, Batch    136, Loss  0.859623, Average Loss  0.868311, Time  0.238878
2021-09-12 11:05:51.256975 : Epoch  9, Batch    137, Loss  0.853965, Average Loss  0.868156, Time  0.246824
2021-09-12 11:05:54.887972 : Epoch  9, Batch    138, Loss  0.846778, Average Loss  0.868029, Time  0.291768
2021-09-12 11:05:59.525088 : Epoch  9, Batch    139, Loss  0.880396, Average Loss  0.867972, Time  0.265283
2021-09-12 11:06:03.766219 : Epoch  9, Batch    140, Loss  0.873437, Average Loss  0.867922, Time  0.253888
2021-09-12 11:06:08.252138 : Epoch  9, Batch    141, Loss  0.872153, Average Loss  0.868009, Time  0.268951
2021-09-12 11:06:14.698804 : Epoch  9, Batch    142, Loss  0.865803, Average Loss  0.867978, Time  0.291262
2021-09-12 11:06:20.852708 : Epoch  9, Batch    143, Loss  0.869520, Average Loss  0.867953, Time  0.496419
2021-09-12 11:06:27.770507 : Epoch  9, Batch    144, Loss  0.862798, Average Loss  0.867927, Time  0.329186
2021-09-12 11:06:34.425924 : Epoch  9, Batch    145, Loss  0.865549, Average Loss  0.867882, Time  0.284500
2021-09-12 11:06:41.025375 : Epoch  9, Batch    146, Loss  0.855763, Average Loss  0.867789, Time  0.426116
2021-09-12 11:06:47.143160 : Epoch  9, Batch    147, Loss  0.867077, Average Loss  0.867864, Time  0.348752
2021-09-12 11:06:51.963996 : Epoch  9, Batch    148, Loss  0.881083, Average Loss  0.867919, Time  0.435248
2021-09-12 11:06:56.276166 : Epoch  9, Batch    149, Loss  0.866649, Average Loss  0.867909, Time  0.350744
2021-09-12 11:07:02.244213 : Epoch  9, Batch    150, Loss  0.858450, Average Loss  0.867947, Time  0.397125
2021-09-12 11:07:08.090077 : Epoch  9, Batch    151, Loss  0.875699, Average Loss  0.868045, Time  0.358435
2021-09-12 11:07:28.450502 : Epoch  9, Batch    152, Loss  0.878866, Average Loss  0.868127, Time  0.333403
2021-09-12 11:16:45.589809 : CheckPoint: Validation Loss  0.00030055, Best Loss  0.00029019
2021-09-12 11:16:55.018348 : Epoch  9, Batch    153, Loss  0.874363, Average Loss  0.868107, Time  0.391458
2021-09-12 11:17:05.365681 : Epoch  9, Batch    154, Loss  0.865922, Average Loss  0.868098, Time  0.666570
2021-09-12 11:17:14.494100 : Epoch  9, Batch    155, Loss  0.864381, Average Loss  0.868068, Time  0.264763
2021-09-12 11:17:23.010230 : Epoch  9, Batch    156, Loss  0.873043, Average Loss  0.868038, Time  0.336252
2021-09-12 11:17:30.234308 : Epoch  9, Batch    157, Loss  0.861464, Average Loss  0.868014, Time  0.298794
2021-09-12 11:17:39.360900 : Epoch  9, Batch    158, Loss  0.870816, Average Loss  0.868097, Time  0.255354
2021-09-12 11:17:51.879597 : Epoch  9, Batch    159, Loss  0.852398, Average Loss  0.868065, Time  0.576795
2021-09-12 11:18:00.282480 : Epoch  9, Batch    160, Loss  0.856686, Average Loss  0.868043, Time  0.268906
2021-09-12 11:18:05.819097 : Epoch  9, Batch    161, Loss  0.895006, Average Loss  0.868209, Time  0.304446
2021-09-12 11:18:09.123108 : Epoch  9, Batch    162, Loss  0.888617, Average Loss  0.868276, Time  0.238587
2021-09-12 11:18:12.855507 : Epoch  9, Batch    163, Loss  0.871305, Average Loss  0.868296, Time  0.287428
2021-09-12 11:18:17.874012 : Epoch  9, Batch    164, Loss  0.850456, Average Loss  0.868247, Time  0.242323
2021-09-12 11:18:22.491992 : Epoch  9, Batch    165, Loss  0.859499, Average Loss  0.868162, Time  0.304503
2021-09-12 11:18:25.913026 : Epoch  9, Batch    166, Loss  0.861192, Average Loss  0.868041, Time  0.346351
2021-09-12 11:18:31.635991 : Epoch  9, Batch    167, Loss  0.871451, Average Loss  0.868106, Time  0.316888
2021-09-12 11:18:37.715946 : Epoch  9, Batch    168, Loss  0.869253, Average Loss  0.868207, Time  0.276752
2021-09-12 11:18:41.679060 : Epoch  9, Batch    169, Loss  0.857255, Average Loss  0.868241, Time  0.316325
2021-09-12 11:18:48.412673 : Epoch  9, Batch    170, Loss  0.841208, Average Loss  0.867992, Time  0.261947
2021-09-12 11:18:54.446908 : Epoch  9, Batch    171, Loss  0.865150, Average Loss  0.868051, Time  0.379207
2021-09-12 11:18:58.596843 : Epoch  9, Batch    172, Loss  0.895563, Average Loss  0.868283, Time  0.238487
2021-09-12 11:19:01.766558 : Epoch  9, Batch    173, Loss  0.867062, Average Loss  0.868274, Time  0.255539
2021-09-12 11:19:08.486574 : Epoch  9, Batch    174, Loss  0.862434, Average Loss  0.868307, Time  0.393938
2021-09-12 11:19:14.226117 : Epoch  9, Batch    175, Loss  0.892005, Average Loss  0.868439, Time  0.305037
2021-09-12 11:19:19.178327 : Epoch  9, Batch    176, Loss  0.883815, Average Loss  0.868589, Time  0.295221
2021-09-12 11:19:25.208948 : Epoch  9, Batch    177, Loss  0.867089, Average Loss  0.868551, Time  0.348596
2021-09-12 11:19:30.937640 : Epoch  9, Batch    178, Loss  0.866239, Average Loss  0.868509, Time  0.315885
2021-09-12 11:19:36.941430 : Epoch  9, Batch    179, Loss  0.866151, Average Loss  0.868459, Time  0.289474
2021-09-12 11:19:42.908708 : Epoch  9, Batch    180, Loss  0.871644, Average Loss  0.868433, Time  0.309041
2021-09-12 11:19:48.757337 : Epoch  9, Batch    181, Loss  0.866040, Average Loss  0.868538, Time  0.267955
2021-09-12 11:19:53.117052 : Epoch  9, Batch    182, Loss  0.872516, Average Loss  0.868529, Time  0.237976
2021-09-12 11:19:58.103223 : Epoch  9, Batch    183, Loss  0.880803, Average Loss  0.868606, Time  0.246296
2021-09-12 11:20:02.137722 : Epoch  9, Batch    184, Loss  0.890862, Average Loss  0.868634, Time  0.243121
2021-09-12 11:20:08.677747 : Epoch  9, Batch    185, Loss  0.876164, Average Loss  0.868768, Time  0.307102
2021-09-12 11:20:14.128324 : Epoch  9, Batch    186, Loss  0.875501, Average Loss  0.868732, Time  0.269853
2021-09-12 11:20:17.404981 : Epoch  9, Batch    187, Loss  0.884178, Average Loss  0.868736, Time  0.342365
2021-09-12 11:20:22.042438 : Epoch  9, Batch    188, Loss  0.853138, Average Loss  0.868716, Time  0.263912
2021-09-12 11:20:26.344629 : Epoch  9, Batch    189, Loss  0.866652, Average Loss  0.868740, Time  0.279854
2021-09-12 11:20:31.913333 : Epoch  9, Batch    190, Loss  0.879752, Average Loss  0.868879, Time  0.254905
2021-09-12 11:20:36.778373 : Epoch  9, Batch    191, Loss  0.886783, Average Loss  0.868957, Time  0.264122
2021-09-12 11:20:42.531054 : Epoch  9, Batch    192, Loss  0.888288, Average Loss  0.869081, Time  0.288979
2021-09-12 11:20:47.730020 : Epoch  9, Batch    193, Loss  0.882876, Average Loss  0.869139, Time  0.277556
2021-09-12 11:20:52.468735 : Epoch  9, Batch    194, Loss  0.870422, Average Loss  0.869132, Time  0.298004
2021-09-12 11:20:57.557641 : Epoch  9, Batch    195, Loss  0.849442, Average Loss  0.869028, Time  0.340517
2021-09-12 11:21:02.497344 : Epoch  9, Batch    196, Loss  0.868629, Average Loss  0.869026, Time  0.393523
2021-09-12 11:21:09.993210 : Epoch  9, Batch    197, Loss  0.864824, Average Loss  0.869062, Time  0.334059
2021-09-12 11:21:17.076354 : Epoch  9, Batch    198, Loss  0.854099, Average Loss  0.869010, Time  0.336697
2021-09-12 11:21:21.889183 : Epoch  9, Batch    199, Loss  0.858197, Average Loss  0.868922, Time  0.238710
2021-09-12 11:21:26.794541 : Epoch  9, Batch    200, Loss  0.866607, Average Loss  0.869025, Time  0.336583
2021-09-12 11:21:32.530883 : Epoch  9, Batch    201, Loss  0.851200, Average Loss  0.868946, Time  0.295628
2021-09-12 11:21:38.463224 : Epoch  9, Batch    202, Loss  0.873738, Average Loss  0.869018, Time  0.421388
2021-09-12 11:21:42.462179 : Epoch  9, Batch    203, Loss  0.855630, Average Loss  0.868987, Time  0.344901
2021-09-12 11:21:49.291155 : Epoch  9, Batch    204, Loss  0.873757, Average Loss  0.869090, Time  0.445228
2021-09-12 11:21:55.951895 : Epoch  9, Batch    205, Loss  0.858752, Average Loss  0.869028, Time  0.263313
2021-09-12 11:22:00.791103 : Epoch  9, Batch    206, Loss  0.867871, Average Loss  0.869077, Time  0.279751
2021-09-12 11:22:08.799005 : Epoch  9, Batch    207, Loss  0.852298, Average Loss  0.868974, Time  0.308625
2021-09-12 11:22:14.625212 : Epoch  9, Batch    208, Loss  0.853782, Average Loss  0.868862, Time  0.308428
2021-09-12 11:22:21.557899 : Epoch  9, Batch    209, Loss  0.876828, Average Loss  0.868895, Time  0.312915
2021-09-12 11:22:24.533959 : Epoch  9, Batch    210, Loss  0.871446, Average Loss  0.868933, Time  0.297827
2021-09-12 11:22:28.823185 : Epoch  9, Batch    211, Loss  0.888522, Average Loss  0.869171, Time  0.258232
2021-09-12 11:22:32.951903 : Epoch  9, Batch    212, Loss  0.860380, Average Loss  0.869132, Time  0.291213
2021-09-12 11:22:39.114021 : Epoch  9, Batch    213, Loss  0.880749, Average Loss  0.869050, Time  0.303767
2021-09-12 11:22:42.732868 : Epoch  9, Batch    214, Loss  0.862378, Average Loss  0.869051, Time  0.238379
2021-09-12 11:22:47.791325 : Epoch  9, Batch    215, Loss  0.854292, Average Loss  0.868945, Time  0.297246
2021-09-12 11:22:52.928863 : Epoch  9, Batch    216, Loss  0.880441, Average Loss  0.869032, Time  0.273039
2021-09-12 11:23:02.079208 : Epoch  9, Batch    217, Loss  0.863365, Average Loss  0.868944, Time  0.377466
2021-09-12 11:23:07.570273 : Epoch  9, Batch    218, Loss  0.874234, Average Loss  0.868920, Time  0.308899
2021-09-12 11:23:18.178944 : Epoch  9, Batch    219, Loss  0.868973, Average Loss  0.868891, Time  0.450713
2021-09-12 11:23:24.287002 : Epoch  9, Batch    220, Loss  0.888114, Average Loss  0.868990, Time  0.296887
2021-09-12 11:23:29.803192 : Epoch  9, Batch    221, Loss  0.862126, Average Loss  0.868990, Time  0.294002
2021-09-12 11:23:34.829340 : Epoch  9, Batch    222, Loss  0.872747, Average Loss  0.869069, Time  0.318773
2021-09-12 11:23:41.504512 : Epoch  9, Batch    223, Loss  0.868779, Average Loss  0.869087, Time  0.329405
2021-09-12 11:23:46.764528 : Epoch  9, Batch    224, Loss  0.859582, Average Loss  0.869092, Time  0.248497
2021-09-12 11:23:55.051221 : Epoch  9, Batch    225, Loss  0.863810, Average Loss  0.869078, Time  0.277548
2021-09-12 11:24:01.420420 : Epoch  9, Batch    226, Loss  0.844529, Average Loss  0.869020, Time  0.334092
2021-09-12 11:24:07.009314 : Epoch  9, Batch    227, Loss  0.853569, Average Loss  0.868981, Time  0.340231
2021-09-12 11:24:11.855102 : Epoch  9, Batch    228, Loss  0.841405, Average Loss  0.868905, Time  0.358062
2021-09-12 11:24:20.402542 : Epoch  9, Batch    229, Loss  0.854509, Average Loss  0.868726, Time  0.245358
2021-09-12 11:24:23.977561 : Epoch  9, Batch    230, Loss  0.865261, Average Loss  0.868688, Time  0.336117
2021-09-12 11:24:28.127366 : Epoch  9, Batch    231, Loss  0.877860, Average Loss  0.868686, Time  0.310503
2021-09-12 11:24:33.220510 : Epoch  9, Batch    232, Loss  0.873006, Average Loss  0.868719, Time  0.297658
2021-09-12 11:24:39.053717 : Epoch  9, Batch    233, Loss  0.830549, Average Loss  0.868555, Time  0.275420
2021-09-12 11:24:43.985981 : Epoch  9, Batch    234, Loss  0.878131, Average Loss  0.868653, Time  0.270773
2021-09-12 11:24:50.928025 : Epoch  9, Batch    235, Loss  0.875275, Average Loss  0.868678, Time  0.325677
2021-09-12 11:24:57.695299 : Epoch  9, Batch    236, Loss  0.848785, Average Loss  0.868530, Time  0.249511
2021-09-12 11:25:02.443981 : Epoch  9, Batch    237, Loss  0.863768, Average Loss  0.868602, Time  0.238983
2021-09-12 11:25:07.705142 : Epoch  9, Batch    238, Loss  0.883561, Average Loss  0.868647, Time  0.291454
2021-09-12 11:25:14.682320 : Epoch  9, Batch    239, Loss  0.868054, Average Loss  0.868624, Time  0.254899
2021-09-12 11:25:21.189206 : Epoch  9, Batch    240, Loss  0.865629, Average Loss  0.868828, Time  0.256522
2021-09-12 11:25:25.978940 : Epoch  9, Batch    241, Loss  0.876806, Average Loss  0.868874, Time  0.256588
2021-09-12 11:25:30.189734 : Epoch  9, Batch    242, Loss  0.888087, Average Loss  0.868979, Time  0.322960
2021-09-12 11:25:35.069100 : Epoch  9, Batch    243, Loss  0.879350, Average Loss  0.868979, Time  0.295508
2021-09-12 11:25:44.819109 : Epoch  9, Batch    244, Loss  0.868802, Average Loss  0.868910, Time  0.508040
2021-09-12 11:25:51.459428 : Epoch  9, Batch    245, Loss  0.858547, Average Loss  0.868797, Time  0.245982
2021-09-12 11:25:58.382961 : Epoch  9, Batch    246, Loss  0.865139, Average Loss  0.868801, Time  0.290286
2021-09-12 11:26:02.358728 : Epoch  9, Batch    247, Loss  0.871673, Average Loss  0.868784, Time  0.356731
2021-09-12 11:26:11.860417 : Epoch  9, Batch    248, Loss  0.852477, Average Loss  0.868766, Time  0.356615
2021-09-12 11:26:19.588785 : Epoch  9, Batch    249, Loss  0.876595, Average Loss  0.868934, Time  0.341544
2021-09-12 11:26:30.291248 : Epoch  9, Batch    250, Loss  0.884786, Average Loss  0.868991, Time  0.257279
2021-09-12 11:26:38.892583 : Epoch  9, Batch    251, Loss  0.879035, Average Loss  0.868989, Time  0.340500
2021-09-12 11:26:48.856975 : Epoch  9, Batch    252, Loss  0.870737, Average Loss  0.868922, Time  0.362753
2021-09-12 11:39:33.860825 : CheckPoint: Validation Loss  0.00030711, Best Loss  0.00029019
2021-09-12 11:39:41.468443 : Epoch  9, Batch    253, Loss  0.880671, Average Loss  0.868921, Time  0.404473
2021-09-12 11:39:48.516404 : Epoch  9, Batch    254, Loss  0.861579, Average Loss  0.868940, Time  0.343273
2021-09-12 11:39:57.844393 : Epoch  9, Batch    255, Loss  0.889713, Average Loss  0.868971, Time  0.358607
2021-09-12 11:40:04.786692 : Epoch  9, Batch    256, Loss  0.867306, Average Loss  0.868973, Time  0.273350
2021-09-12 11:40:12.439311 : Epoch  9, Batch    257, Loss  0.868896, Average Loss  0.868941, Time  0.290661
2021-09-12 11:40:17.647698 : Epoch  9, Batch    258, Loss  0.867705, Average Loss  0.868839, Time  0.317873
2021-09-12 11:40:22.780774 : Epoch  9, Batch    259, Loss  0.864983, Average Loss  0.868705, Time  0.361706
2021-09-12 11:40:29.336932 : Epoch  9, Batch    260, Loss  0.874202, Average Loss  0.868775, Time  0.305708
2021-09-12 11:40:33.717295 : Epoch  9, Batch    261, Loss  0.870279, Average Loss  0.868836, Time  0.320949
2021-09-12 11:40:39.175210 : Epoch  9, Batch    262, Loss  0.886745, Average Loss  0.868863, Time  0.343468
2021-09-12 11:40:45.634409 : Epoch  9, Batch    263, Loss  0.875930, Average Loss  0.868849, Time  0.363098
2021-09-12 11:40:50.206181 : Epoch  9, Batch    264, Loss  0.844956, Average Loss  0.868698, Time  0.479917
2021-09-12 11:40:53.971865 : Epoch  9, Batch    265, Loss  0.891827, Average Loss  0.868912, Time  0.317520
2021-09-12 11:41:00.558812 : Epoch  9, Batch    266, Loss  0.860262, Average Loss  0.868908, Time  0.354362
2021-09-12 11:41:07.445424 : Epoch  9, Batch    267, Loss  0.865560, Average Loss  0.868848, Time  0.294489
2021-09-12 11:41:16.365390 : Epoch  9, Batch    268, Loss  0.882226, Average Loss  0.868743, Time  0.331418
2021-09-12 11:41:23.184108 : Epoch  9, Batch    269, Loss  0.839012, Average Loss  0.868669, Time  0.365246
2021-09-12 11:41:29.719304 : Epoch  9, Batch    270, Loss  0.858881, Average Loss  0.868724, Time  0.261665
2021-09-12 11:41:34.921669 : Epoch  9, Batch    271, Loss  0.853569, Average Loss  0.868628, Time  0.461521
2021-09-12 11:41:41.885800 : Epoch  9, Batch    272, Loss  0.878761, Average Loss  0.868637, Time  0.316376
2021-09-12 11:41:46.862333 : Epoch  9, Batch    273, Loss  0.867664, Average Loss  0.868679, Time  0.378006
2021-09-12 11:41:52.729858 : Epoch  9, Batch    274, Loss  0.853274, Average Loss  0.868615, Time  0.285074
2021-09-12 11:41:58.688653 : Epoch  9, Batch    275, Loss  0.881506, Average Loss  0.868651, Time  0.467980
2021-09-12 11:42:05.467084 : Epoch  9, Batch    276, Loss  0.879534, Average Loss  0.868770, Time  0.256973
2021-09-12 11:42:11.788876 : Epoch  9, Batch    277, Loss  0.883040, Average Loss  0.868844, Time  0.283226
2021-09-12 11:42:18.135912 : Epoch  9, Batch    278, Loss  0.857721, Average Loss  0.868801, Time  0.238904
2021-09-12 11:42:21.800155 : Epoch  9, Batch    279, Loss  0.878415, Average Loss  0.868846, Time  0.321206
2021-09-12 11:42:26.797094 : Epoch  9, Batch    280, Loss  0.871065, Average Loss  0.868933, Time  0.373804
2021-09-12 11:42:31.936409 : Epoch  9, Batch    281, Loss  0.865651, Average Loss  0.868959, Time  0.349184
2021-09-12 11:42:37.159337 : Epoch  9, Batch    282, Loss  0.862560, Average Loss  0.868906, Time  0.329830
2021-09-12 11:42:43.724031 : Epoch  9, Batch    283, Loss  0.870993, Average Loss  0.868892, Time  0.307097
2021-09-12 11:42:48.712063 : Epoch  9, Batch    284, Loss  0.864114, Average Loss  0.868913, Time  0.333389
2021-09-12 11:42:52.620337 : Epoch  9, Batch    285, Loss  0.874609, Average Loss  0.868939, Time  0.336920
2021-09-12 11:42:55.395036 : Epoch  9, Batch    286, Loss  0.888496, Average Loss  0.869091, Time  0.236782
2021-09-12 11:43:02.994998 : Epoch  9, Batch    287, Loss  0.847076, Average Loss  0.868975, Time  0.270531
2021-09-12 11:43:07.054038 : Epoch  9, Batch    288, Loss  0.850175, Average Loss  0.868739, Time  0.294586
2021-09-12 11:43:13.223864 : Epoch  9, Batch    289, Loss  0.866627, Average Loss  0.868717, Time  0.396649
2021-09-12 11:43:17.308032 : Epoch  9, Batch    290, Loss  0.851879, Average Loss  0.868707, Time  0.289894
2021-09-12 11:43:22.098771 : Epoch  9, Batch    291, Loss  0.874919, Average Loss  0.868692, Time  0.274451
2021-09-12 11:43:26.277220 : Epoch  9, Batch    292, Loss  0.881188, Average Loss  0.868745, Time  0.272718
2021-09-12 11:43:32.098275 : Epoch  9, Batch    293, Loss  0.852389, Average Loss  0.868698, Time  0.289790
2021-09-12 11:43:38.514349 : Epoch  9, Batch    294, Loss  0.866674, Average Loss  0.868673, Time  0.292338
2021-09-12 11:43:43.153897 : Epoch  9, Batch    295, Loss  0.896251, Average Loss  0.868845, Time  0.245477
2021-09-12 11:43:48.377844 : Epoch  9, Batch    296, Loss  0.880350, Average Loss  0.868921, Time  0.263552
2021-09-12 11:43:53.024344 : Epoch  9, Batch    297, Loss  0.889830, Average Loss  0.868974, Time  0.337455
2021-09-12 11:43:58.611862 : Epoch  9, Batch    298, Loss  0.867247, Average Loss  0.868902, Time  0.317648
2021-09-12 11:44:04.972117 : Epoch  9, Batch    299, Loss  0.865482, Average Loss  0.868846, Time  0.365428
2021-09-12 11:44:12.160335 : Epoch  9, Batch    300, Loss  0.851078, Average Loss  0.868737, Time  0.311647
2021-09-12 11:44:17.210281 : Epoch  9, Batch    301, Loss  0.859965, Average Loss  0.868673, Time  0.376026
2021-09-12 11:44:24.312195 : Epoch  9, Batch    302, Loss  0.850445, Average Loss  0.868625, Time  0.236477
2021-09-12 11:44:30.372787 : Epoch  9, Batch    303, Loss  0.874928, Average Loss  0.868569, Time  0.256100
2021-09-12 11:44:38.962315 : Epoch  9, Batch    304, Loss  0.847421, Average Loss  0.868407, Time  0.358993
2021-09-12 11:44:45.313870 : Epoch  9, Batch    305, Loss  0.865372, Average Loss  0.868347, Time  0.277227
2021-09-12 11:44:49.765292 : Epoch  9, Batch    306, Loss  0.879382, Average Loss  0.868439, Time  0.293856
2021-09-12 11:44:54.236161 : Epoch  9, Batch    307, Loss  0.890787, Average Loss  0.868501, Time  0.395361
2021-09-12 11:44:59.327953 : Epoch  9, Batch    308, Loss  0.872301, Average Loss  0.868408, Time  0.284666
2021-09-12 11:45:04.801007 : Epoch  9, Batch    309, Loss  0.874403, Average Loss  0.868385, Time  0.280396
2021-09-12 11:45:09.291262 : Epoch  9, Batch    310, Loss  0.876819, Average Loss  0.868376, Time  0.287503
2021-09-12 11:45:14.800231 : Epoch  9, Batch    311, Loss  0.882692, Average Loss  0.868452, Time  0.244572
2021-09-12 11:45:21.869112 : Epoch  9, Batch    312, Loss  0.887264, Average Loss  0.868602, Time  0.360320
2021-09-12 11:45:27.334820 : Epoch  9, Batch    313, Loss  0.875444, Average Loss  0.868703, Time  0.275328
2021-09-12 11:45:33.988837 : Epoch  9, Batch    314, Loss  0.873352, Average Loss  0.868788, Time  0.256038
2021-09-12 11:45:38.504035 : Epoch  9, Batch    315, Loss  0.856331, Average Loss  0.868682, Time  0.339350
2021-09-12 11:45:42.624325 : Epoch  9, Batch    316, Loss  0.855802, Average Loss  0.868691, Time  0.290663
2021-09-12 11:45:49.326788 : Epoch  9, Batch    317, Loss  0.868852, Average Loss  0.868652, Time  0.354694
2021-09-12 11:45:53.979278 : Epoch  9, Batch    318, Loss  0.865983, Average Loss  0.868659, Time  0.259742
2021-09-12 11:45:57.396474 : Epoch  9, Batch    319, Loss  0.861185, Average Loss  0.868627, Time  0.247388
2021-09-12 11:46:01.854124 : Epoch  9, Batch    320, Loss  0.866223, Average Loss  0.868619, Time  0.275841
2021-09-12 11:46:05.694953 : Epoch  9, Batch    321, Loss  0.883695, Average Loss  0.868676, Time  0.236738
2021-09-12 11:46:11.315636 : Epoch  9, Batch    322, Loss  0.888477, Average Loss  0.868840, Time  0.448036
2021-09-12 11:46:17.371640 : Epoch  9, Batch    323, Loss  0.875914, Average Loss  0.868956, Time  0.336505
2021-09-12 11:46:22.147220 : Epoch  9, Batch    324, Loss  0.878455, Average Loss  0.868959, Time  0.357244
2021-09-12 11:46:28.589421 : Epoch  9, Batch    325, Loss  0.892953, Average Loss  0.869193, Time  0.344975
2021-09-12 11:46:32.947344 : Epoch  9, Batch    326, Loss  0.860223, Average Loss  0.869148, Time  0.272162
2021-09-12 11:46:37.734105 : Epoch  9, Batch    327, Loss  0.866764, Average Loss  0.869113, Time  0.249522
2021-09-12 11:46:45.330694 : Epoch  9, Batch    328, Loss  0.861352, Average Loss  0.869004, Time  0.346264
2021-09-12 11:46:49.864288 : Epoch  9, Batch    329, Loss  0.875644, Average Loss  0.869019, Time  0.279735
2021-09-12 11:46:55.871179 : Epoch  9, Batch    330, Loss  0.875797, Average Loss  0.868976, Time  0.287384
2021-09-12 11:47:01.737266 : Epoch  9, Batch    331, Loss  0.874789, Average Loss  0.868995, Time  0.297351
2021-09-12 11:47:06.044966 : Epoch  9, Batch    332, Loss  0.882706, Average Loss  0.868958, Time  0.279923
2021-09-12 11:47:10.239810 : Epoch  9, Batch    333, Loss  0.874963, Average Loss  0.869020, Time  0.276306
2021-09-12 11:47:16.566834 : Epoch  9, Batch    334, Loss  0.889881, Average Loss  0.869156, Time  0.335083
2021-09-12 11:47:22.477074 : Epoch  9, Batch    335, Loss  0.883264, Average Loss  0.869216, Time  0.317646
2021-09-12 11:47:27.154286 : Epoch  9, Batch    336, Loss  0.874901, Average Loss  0.869293, Time  0.280016
2021-09-12 11:47:32.404353 : Epoch  9, Batch    337, Loss  0.884982, Average Loss  0.869448, Time  0.356732
2021-09-12 11:47:37.735320 : Epoch  9, Batch    338, Loss  0.867707, Average Loss  0.869552, Time  0.296151
2021-09-12 11:47:41.654811 : Epoch  9, Batch    339, Loss  0.853503, Average Loss  0.869418, Time  0.289018
2021-09-12 11:47:48.433801 : Epoch  9, Batch    340, Loss  0.866529, Average Loss  0.869383, Time  0.363659
2021-09-12 11:47:51.465982 : Epoch  9, Batch    341, Loss  0.846559, Average Loss  0.869255, Time  0.236654
2021-09-12 11:47:59.665289 : Epoch  9, Batch    342, Loss  0.875439, Average Loss  0.869304, Time  0.356893
2021-09-12 11:48:06.302925 : Epoch  9, Batch    343, Loss  0.857943, Average Loss  0.869246, Time  0.347478
2021-09-12 11:48:09.822928 : Epoch  9, Batch    344, Loss  0.844715, Average Loss  0.869155, Time  0.407675
2021-09-12 11:48:13.341289 : Epoch  9, Batch    345, Loss  0.880132, Average Loss  0.869228, Time  0.240278
2021-09-12 11:48:19.420340 : Epoch  9, Batch    346, Loss  0.862945, Average Loss  0.869264, Time  0.293511
2021-09-12 11:48:24.365621 : Epoch  9, Batch    347, Loss  0.863209, Average Loss  0.869245, Time  0.313494
2021-09-12 11:48:31.232481 : Epoch  9, Batch    348, Loss  0.870267, Average Loss  0.869191, Time  0.285150
2021-09-12 11:48:37.987547 : Epoch  9, Batch    349, Loss  0.844937, Average Loss  0.869082, Time  0.247072
2021-09-12 11:48:44.128363 : Epoch  9, Batch    350, Loss  0.852619, Average Loss  0.869053, Time  0.374393
2021-09-12 11:48:52.293890 : Epoch  9, Batch    351, Loss  0.863810, Average Loss  0.868994, Time  0.348380
2021-09-12 11:48:58.593833 : Epoch  9, Batch    352, Loss  0.885164, Average Loss  0.869025, Time  0.411426
2021-09-12 11:57:21.587731 : CheckPoint: Validation Loss  0.00030427, Best Loss  0.00029019
2021-09-12 11:57:25.356902 : Epoch  9, Batch    353, Loss  0.860182, Average Loss  0.868954, Time  0.324428
2021-09-12 11:57:29.435175 : Epoch  9, Batch    354, Loss  0.887912, Average Loss  0.869064, Time  0.310999
2021-09-12 11:57:33.508871 : Epoch  9, Batch    355, Loss  0.866779, Average Loss  0.869076, Time  0.263902
2021-09-12 11:57:37.345218 : Epoch  9, Batch    356, Loss  0.862656, Average Loss  0.869024, Time  0.241555
2021-09-12 11:57:42.322970 : Epoch  9, Batch    357, Loss  0.867348, Average Loss  0.869054, Time  0.249963
2021-09-12 11:57:47.365233 : Epoch  9, Batch    358, Loss  0.864563, Average Loss  0.869022, Time  0.290258
2021-09-12 11:57:50.508836 : Epoch  9, Batch    359, Loss  0.852285, Average Loss  0.869022, Time  0.277848
2021-09-12 11:57:54.986904 : Epoch  9, Batch    360, Loss  0.856512, Average Loss  0.869021, Time  0.305468
2021-09-12 11:57:58.652176 : Epoch  9, Batch    361, Loss  0.852279, Average Loss  0.868807, Time  0.273900
2021-09-12 11:58:04.143526 : Epoch  9, Batch    362, Loss  0.857063, Average Loss  0.868650, Time  0.308850
2021-09-12 11:58:09.142130 : Epoch  9, Batch    363, Loss  0.862979, Average Loss  0.868608, Time  0.317142
2021-09-12 11:58:14.176322 : Epoch  9, Batch    364, Loss  0.864770, Average Loss  0.868679, Time  0.326910
2021-09-12 11:58:18.560282 : Epoch  9, Batch    365, Loss  0.873620, Average Loss  0.868750, Time  0.371348
2021-09-12 11:58:24.040506 : Epoch  9, Batch    366, Loss  0.873125, Average Loss  0.868810, Time  0.331915
2021-09-12 11:58:27.152486 : Epoch  9, Batch    367, Loss  0.866790, Average Loss  0.868786, Time  0.296048
2021-09-12 11:58:33.024662 : Epoch  9, Batch    368, Loss  0.860108, Average Loss  0.868741, Time  0.297881
2021-09-12 11:58:39.254753 : Epoch  9, Batch    369, Loss  0.861462, Average Loss  0.868762, Time  0.268433
2021-09-12 11:58:45.296237 : Epoch  9, Batch    370, Loss  0.839128, Average Loss  0.868751, Time  0.296502
2021-09-12 11:58:50.738453 : Epoch  9, Batch    371, Loss  0.873434, Average Loss  0.868793, Time  0.235858
2021-09-12 11:58:55.431459 : Epoch  9, Batch    372, Loss  0.870445, Average Loss  0.868667, Time  0.272241
2021-09-12 11:58:59.713479 : Epoch  9, Batch    373, Loss  0.854636, Average Loss  0.868605, Time  0.299765
2021-09-12 11:59:05.080736 : Epoch  9, Batch    374, Loss  0.849293, Average Loss  0.868539, Time  0.261761
2021-09-12 11:59:08.379587 : Epoch  9, Batch    375, Loss  0.873596, Average Loss  0.868447, Time  0.326284
2021-09-12 11:59:14.492352 : Epoch  9, Batch    376, Loss  0.873688, Average Loss  0.868397, Time  0.333641
2021-09-12 11:59:18.572894 : Epoch  9, Batch    377, Loss  0.873365, Average Loss  0.868428, Time  0.255568
2021-09-12 11:59:23.298963 : Epoch  9, Batch    378, Loss  0.865809, Average Loss  0.868426, Time  0.307403
2021-09-12 11:59:27.403305 : Epoch  9, Batch    379, Loss  0.866329, Average Loss  0.868427, Time  0.260002
2021-09-12 11:59:31.218774 : Epoch  9, Batch    380, Loss  0.875706, Average Loss  0.868447, Time  0.275683
2021-09-12 11:59:34.636777 : Epoch  9, Batch    381, Loss  0.889181, Average Loss  0.868563, Time  0.248128
2021-09-12 11:59:40.473225 : Epoch  9, Batch    382, Loss  0.860529, Average Loss  0.868503, Time  0.295858
2021-09-12 11:59:43.842823 : Epoch  9, Batch    383, Loss  0.880039, Average Loss  0.868499, Time  0.279280
2021-09-12 11:59:48.818436 : Epoch  9, Batch    384, Loss  0.847478, Average Loss  0.868282, Time  0.236223
2021-09-12 11:59:54.331329 : Epoch  9, Batch    385, Loss  0.849676, Average Loss  0.868150, Time  0.302162
2021-09-12 12:00:00.508874 : Epoch  9, Batch    386, Loss  0.894688, Average Loss  0.868246, Time  0.302385
2021-09-12 12:00:07.113012 : Epoch  9, Batch    387, Loss  0.879332, Average Loss  0.868221, Time  0.236231
2021-09-12 12:00:10.540278 : Epoch  9, Batch    388, Loss  0.876569, Average Loss  0.868339, Time  0.256586
2021-09-12 12:00:15.481791 : Epoch  9, Batch    389, Loss  0.879514, Average Loss  0.868403, Time  0.256948
2021-09-12 12:00:20.588879 : Epoch  9, Batch    390, Loss  0.855626, Average Loss  0.868282, Time  0.280832
2021-09-12 12:00:27.826247 : Epoch  9, Batch    391, Loss  0.872366, Average Loss  0.868210, Time  0.295018
2021-09-12 12:00:33.776268 : Epoch  9, Batch    392, Loss  0.878280, Average Loss  0.868160, Time  0.241161
2021-09-12 12:00:37.383375 : Epoch  9, Batch    393, Loss  0.883496, Average Loss  0.868163, Time  0.266017
2021-09-12 12:00:41.299298 : Epoch  9, Batch    394, Loss  0.880031, Average Loss  0.868211, Time  0.259120
2021-09-12 12:00:44.044832 : Epoch  9, Batch    395, Loss  0.861084, Average Loss  0.868269, Time  0.269700
2021-09-12 12:00:50.634318 : Epoch  9, Batch    396, Loss  0.846554, Average Loss  0.868159, Time  0.293280
2021-09-12 12:00:54.628150 : Epoch  9, Batch    397, Loss  0.847542, Average Loss  0.868073, Time  0.276505
2021-09-12 12:01:01.164441 : Epoch  9, Batch    398, Loss  0.876368, Average Loss  0.868184, Time  0.302196
2021-09-12 12:01:06.289903 : Epoch  9, Batch    399, Loss  0.861832, Average Loss  0.868202, Time  0.248145
2021-09-12 12:01:13.906919 : Epoch  9, Batch    400, Loss  0.863248, Average Loss  0.868185, Time  0.432316
2021-09-12 12:01:20.603377 : Epoch  9, Batch    401, Loss  0.884999, Average Loss  0.868354, Time  0.336928
2021-09-12 12:01:24.689262 : Epoch  9, Batch    402, Loss  0.867806, Average Loss  0.868325, Time  0.259825
2021-09-12 12:01:30.320262 : Epoch  9, Batch    403, Loss  0.866464, Average Loss  0.868379, Time  0.299971
2021-09-12 12:01:37.065001 : Epoch  9, Batch    404, Loss  0.850008, Average Loss  0.868260, Time  0.329931
2021-09-12 12:01:41.374275 : Epoch  9, Batch    405, Loss  0.890857, Average Loss  0.868421, Time  0.400475
2021-09-12 12:01:46.690793 : Epoch  9, Batch    406, Loss  0.849096, Average Loss  0.868327, Time  0.335124
2021-09-12 12:01:51.994252 : Epoch  9, Batch    407, Loss  0.863027, Average Loss  0.868380, Time  0.280236
2021-09-12 12:01:58.606815 : Epoch  9, Batch    408, Loss  0.866293, Average Loss  0.868443, Time  0.300415
2021-09-12 12:02:04.257267 : Epoch  9, Batch    409, Loss  0.856422, Average Loss  0.868341, Time  0.337382
2021-09-12 12:02:09.798205 : Epoch  9, Batch    410, Loss  0.892926, Average Loss  0.868448, Time  0.236057
2021-09-12 12:02:13.884745 : Epoch  9, Batch    411, Loss  0.864059, Average Loss  0.868326, Time  0.290244
2021-09-12 12:02:18.529779 : Epoch  9, Batch    412, Loss  0.884024, Average Loss  0.868444, Time  0.236161
2021-09-12 12:02:22.615802 : Epoch  9, Batch    413, Loss  0.867665, Average Loss  0.868379, Time  0.266517
2021-09-12 12:02:26.001039 : Epoch  9, Batch    414, Loss  0.861019, Average Loss  0.868372, Time  0.383414
2021-09-12 12:02:31.566333 : Epoch  9, Batch    415, Loss  0.855992, Average Loss  0.868381, Time  0.274031
2021-09-12 12:02:37.257937 : Epoch  9, Batch    416, Loss  0.859268, Average Loss  0.868275, Time  0.265131
2021-09-12 12:02:41.857798 : Epoch  9, Batch    417, Loss  0.861330, Average Loss  0.868265, Time  0.271330
2021-09-12 12:02:48.199944 : Epoch  9, Batch    418, Loss  0.870920, Average Loss  0.868248, Time  0.361189
2021-09-12 12:02:52.869909 : Epoch  9, Batch    419, Loss  0.864120, Average Loss  0.868224, Time  0.300951
2021-09-12 12:02:58.656548 : Epoch  9, Batch    420, Loss  0.858009, Average Loss  0.868073, Time  0.373374
2021-09-12 12:03:02.958813 : Epoch  9, Batch    421, Loss  0.865936, Average Loss  0.868092, Time  0.247579
2021-09-12 12:03:08.592846 : Epoch  9, Batch    422, Loss  0.858135, Average Loss  0.868019, Time  0.351084
2021-09-12 12:03:12.451853 : Epoch  9, Batch    423, Loss  0.873281, Average Loss  0.868042, Time  0.289141
2021-09-12 12:03:17.624822 : Epoch  9, Batch    424, Loss  0.872285, Average Loss  0.868105, Time  0.250240
2021-09-12 12:03:21.334623 : Epoch  9, Batch    425, Loss  0.869640, Average Loss  0.868134, Time  0.342078
2021-09-12 12:03:25.022481 : Epoch  9, Batch    426, Loss  0.864132, Average Loss  0.868232, Time  0.236521
2021-09-12 12:03:30.309492 : Epoch  9, Batch    427, Loss  0.860355, Average Loss  0.868266, Time  0.253890
2021-09-12 12:03:34.832783 : Epoch  9, Batch    428, Loss  0.892170, Average Loss  0.868520, Time  0.309587
2021-09-12 12:03:38.599165 : Epoch  9, Batch    429, Loss  0.865729, Average Loss  0.868576, Time  0.240346
2021-09-12 12:03:42.693728 : Epoch  9, Batch    430, Loss  0.856867, Average Loss  0.868534, Time  0.264410
2021-09-12 12:03:49.114256 : Epoch  9, Batch    431, Loss  0.881391, Average Loss  0.868552, Time  0.274772
2021-09-12 12:03:53.517197 : Epoch  9, Batch    432, Loss  0.877757, Average Loss  0.868576, Time  0.236000
2021-09-12 12:03:58.533264 : Epoch  9, Batch    433, Loss  0.895846, Average Loss  0.868902, Time  0.315058
2021-09-12 12:04:02.599894 : Epoch  9, Batch    434, Loss  0.866220, Average Loss  0.868843, Time  0.265864
2021-09-12 12:04:06.048846 : Epoch  9, Batch    435, Loss  0.898587, Average Loss  0.868959, Time  0.280007
2021-09-12 12:04:10.592239 : Epoch  9, Batch    436, Loss  0.882307, Average Loss  0.869127, Time  0.284800
2021-09-12 12:04:15.803864 : Epoch  9, Batch    437, Loss  0.874130, Average Loss  0.869179, Time  0.294038
2021-09-12 12:04:22.720841 : Epoch  9, Batch    438, Loss  0.867661, Average Loss  0.869099, Time  0.294368
2021-09-12 12:04:28.488614 : Epoch  9, Batch    439, Loss  0.865785, Average Loss  0.869088, Time  0.305084
2021-09-12 12:04:34.829309 : Epoch  9, Batch    440, Loss  0.870544, Average Loss  0.869112, Time  0.296795
2021-09-12 12:04:39.409161 : Epoch  9, Batch    441, Loss  0.868694, Average Loss  0.869072, Time  0.290987
2021-09-12 12:04:46.056158 : Epoch  9, Batch    442, Loss  0.865603, Average Loss  0.868959, Time  0.475329
2021-09-12 12:04:52.061147 : Epoch  9, Batch    443, Loss  0.856368, Average Loss  0.868844, Time  0.341364
2021-09-12 12:04:55.879770 : Epoch  9, Batch    444, Loss  0.869004, Average Loss  0.868845, Time  0.238348
2021-09-12 12:04:59.899254 : Epoch  9, Batch    445, Loss  0.868286, Average Loss  0.868894, Time  0.258702
2021-09-12 12:05:04.602192 : Epoch  9, Batch    446, Loss  0.853617, Average Loss  0.868836, Time  0.235923
2021-09-12 12:05:07.825155 : Epoch  9, Batch    447, Loss  0.866282, Average Loss  0.868810, Time  0.282157
2021-09-12 12:05:13.792813 : Epoch  9, Batch    448, Loss  0.862953, Average Loss  0.868862, Time  0.281908
2021-09-12 12:05:17.930975 : Epoch  9, Batch    449, Loss  0.850023, Average Loss  0.868729, Time  0.300826
2021-09-12 12:05:22.587286 : Epoch  9, Batch    450, Loss  0.877399, Average Loss  0.868692, Time  0.386936
2021-09-12 12:05:26.949086 : Epoch  9, Batch    451, Loss  0.867329, Average Loss  0.868634, Time  0.236404
2021-09-12 12:05:32.965816 : Epoch  9, Batch    452, Loss  0.858094, Average Loss  0.868570, Time  0.248983
2021-09-12 12:13:21.082734 : CheckPoint: Validation Loss  0.00030753, Best Loss  0.00029019
2021-09-12 12:13:28.237065 : Epoch  9, Batch    453, Loss  0.873984, Average Loss  0.868537, Time  0.381199
2021-09-12 12:13:33.956553 : Epoch  9, Batch    454, Loss  0.867011, Average Loss  0.868564, Time  0.306678
2021-09-12 12:13:37.805429 : Epoch  9, Batch    455, Loss  0.869046, Average Loss  0.868461, Time  0.273134
2021-09-12 12:13:42.329878 : Epoch  9, Batch    456, Loss  0.862983, Average Loss  0.868439, Time  0.316371
2021-09-12 12:13:48.598771 : Epoch  9, Batch    457, Loss  0.874789, Average Loss  0.868469, Time  0.261886
2021-09-12 12:13:54.677860 : Epoch  9, Batch    458, Loss  0.863269, Average Loss  0.868446, Time  0.311014
2021-09-12 12:14:01.572142 : Epoch  9, Batch    459, Loss  0.885120, Average Loss  0.868547, Time  0.318324
2021-09-12 12:14:05.884188 : Epoch  9, Batch    460, Loss  0.844810, Average Loss  0.868400, Time  0.276419
2021-09-12 12:14:10.787628 : Epoch  9, Batch    461, Loss  0.843354, Average Loss  0.868266, Time  0.295471
2021-09-12 12:14:18.231311 : Epoch  9, Batch    462, Loss  0.865540, Average Loss  0.868159, Time  0.492055
2021-09-12 12:14:23.132783 : Epoch  9, Batch    463, Loss  0.858334, Average Loss  0.868072, Time  0.331363
2021-09-12 12:14:31.961340 : Epoch  9, Batch    464, Loss  0.867856, Average Loss  0.868186, Time  0.374918
2021-09-12 12:14:36.185976 : Epoch  9, Batch    465, Loss  0.861647, Average Loss  0.868035, Time  0.329321
2021-09-12 12:14:41.093353 : Epoch  9, Batch    466, Loss  0.860314, Average Loss  0.868035, Time  0.335461
2021-09-12 12:14:46.179792 : Epoch  9, Batch    467, Loss  0.855635, Average Loss  0.867986, Time  0.299559
2021-09-12 12:14:51.759184 : Epoch  9, Batch    468, Loss  0.862641, Average Loss  0.867888, Time  0.412681
2021-09-12 12:14:57.699237 : Epoch  9, Batch    469, Loss  0.863750, Average Loss  0.868012, Time  0.274009
2021-09-12 12:15:04.066277 : Epoch  9, Batch    470, Loss  0.883868, Average Loss  0.868136, Time  0.301846
2021-09-12 12:15:12.667854 : Epoch  9, Batch    471, Loss  0.876691, Average Loss  0.868252, Time  0.378437
2021-09-12 12:15:20.934739 : Epoch  9, Batch    472, Loss  0.854580, Average Loss  0.868131, Time  0.267902
2021-09-12 12:15:29.545158 : Epoch  9, Batch    473, Loss  0.880965, Average Loss  0.868198, Time  0.382280
2021-09-12 12:15:37.691846 : Epoch  9, Batch    474, Loss  0.890274, Average Loss  0.868383, Time  0.331736
2021-09-12 12:15:45.894019 : Epoch  9, Batch    475, Loss  0.860131, Average Loss  0.868276, Time  0.290635
2021-09-12 12:15:53.134904 : Epoch  9, Batch    476, Loss  0.872598, Average Loss  0.868241, Time  0.426153
2021-09-12 12:15:59.576083 : Epoch  9, Batch    477, Loss  0.887015, Average Loss  0.868261, Time  0.320563
2021-09-12 12:16:05.785906 : Epoch  9, Batch    478, Loss  0.877189, Average Loss  0.868358, Time  0.270599
2021-09-12 12:16:14.222565 : Epoch  9, Batch    479, Loss  0.867032, Average Loss  0.868301, Time  0.454473
2021-09-12 12:16:20.521254 : Epoch  9, Batch    480, Loss  0.854555, Average Loss  0.868219, Time  0.240381
2021-09-12 12:16:26.623502 : Epoch  9, Batch    481, Loss  0.846102, Average Loss  0.868121, Time  0.264232
2021-09-12 12:16:32.851312 : Epoch  9, Batch    482, Loss  0.860628, Average Loss  0.868111, Time  0.290620
2021-09-12 12:16:37.989277 : Epoch  9, Batch    483, Loss  0.868719, Average Loss  0.868100, Time  0.236517
2021-09-12 12:16:42.990787 : Epoch  9, Batch    484, Loss  0.878433, Average Loss  0.868172, Time  0.313900
2021-09-12 12:16:51.198326 : Epoch  9, Batch    485, Loss  0.880264, Average Loss  0.868200, Time  0.346550
2021-09-12 12:16:54.673066 : Epoch  9, Batch    486, Loss  0.865575, Average Loss  0.868085, Time  0.322914
2021-09-12 12:16:57.631705 : Epoch  9, Batch    487, Loss  0.873654, Average Loss  0.868218, Time  0.283107
2021-09-12 12:17:02.967263 : Epoch  9, Batch    488, Loss  0.865659, Average Loss  0.868296, Time  0.344074
2021-09-12 12:17:09.611326 : Epoch  9, Batch    489, Loss  0.881972, Average Loss  0.868372, Time  0.260938
2021-09-12 12:17:15.486851 : Epoch  9, Batch    490, Loss  0.853293, Average Loss  0.868379, Time  0.299123
2021-09-12 12:17:22.984222 : Epoch  9, Batch    491, Loss  0.852256, Average Loss  0.868266, Time  0.282636
2021-09-12 12:17:27.945534 : Epoch  9, Batch    492, Loss  0.861130, Average Loss  0.868166, Time  0.291331
2021-09-12 12:17:31.726067 : Epoch  9, Batch    493, Loss  0.860602, Average Loss  0.868207, Time  0.298207
2021-09-12 12:17:36.311028 : Epoch  9, Batch    494, Loss  0.847685, Average Loss  0.868112, Time  0.399377
2021-09-12 12:17:42.668514 : Epoch  9, Batch    495, Loss  0.863805, Average Loss  0.867950, Time  0.383695
2021-09-12 12:17:46.229365 : Epoch  9, Batch    496, Loss  0.867468, Average Loss  0.867885, Time  0.263209
2021-09-12 12:17:50.718764 : Epoch  9, Batch    497, Loss  0.884718, Average Loss  0.867860, Time  0.266229
2021-09-12 12:17:54.401780 : Epoch  9, Batch    498, Loss  0.871393, Average Loss  0.867880, Time  0.342008
2021-09-12 12:17:57.501915 : Epoch  9, Batch    499, Loss  0.890015, Average Loss  0.868003, Time  0.289946
2021-09-12 12:18:03.461091 : Epoch  9, Batch    500, Loss  0.873086, Average Loss  0.868113, Time  0.236743
2021-09-12 12:18:10.427541 : Epoch  9, Batch    501, Loss  0.874398, Average Loss  0.868185, Time  0.279487
2021-09-12 12:18:16.148333 : Epoch  9, Batch    502, Loss  0.888438, Average Loss  0.868375, Time  0.360585
2021-09-12 12:18:21.420123 : Epoch  9, Batch    503, Loss  0.885010, Average Loss  0.868426, Time  0.282683
2021-09-12 12:18:26.794907 : Epoch  9, Batch    504, Loss  0.856566, Average Loss  0.868471, Time  0.420573
2021-09-12 12:18:30.411171 : Epoch  9, Batch    505, Loss  0.867676, Average Loss  0.868483, Time  0.246474
2021-09-12 12:18:35.746002 : Epoch  9, Batch    506, Loss  0.856779, Average Loss  0.868370, Time  0.279872
2021-09-12 12:18:40.453303 : Epoch  9, Batch    507, Loss  0.882438, Average Loss  0.868328, Time  0.295146
2021-09-12 12:18:46.806360 : Epoch  9, Batch    508, Loss  0.856925, Average Loss  0.868251, Time  0.268703
2021-09-12 12:18:50.527358 : Epoch  9, Batch    509, Loss  0.865013, Average Loss  0.868204, Time  0.414695
2021-09-12 12:18:57.042320 : Epoch  9, Batch    510, Loss  0.901079, Average Loss  0.868326, Time  0.349202
2021-09-12 12:19:01.079847 : Epoch  9, Batch    511, Loss  0.875161, Average Loss  0.868288, Time  0.236845
2021-09-12 12:19:07.063233 : Epoch  9, Batch    512, Loss  0.875073, Average Loss  0.868227, Time  0.301938
2021-09-12 12:19:12.416309 : Epoch  9, Batch    513, Loss  0.857044, Average Loss  0.868135, Time  0.368560
2021-09-12 12:19:19.878773 : Epoch  9, Batch    514, Loss  0.867309, Average Loss  0.868105, Time  0.277187
2021-09-12 12:19:25.022241 : Epoch  9, Batch    515, Loss  0.869285, Average Loss  0.868170, Time  0.236040
2021-09-12 12:19:31.549856 : Epoch  9, Batch    516, Loss  0.867731, Average Loss  0.868229, Time  0.306229
2021-09-12 12:19:34.676776 : Epoch  9, Batch    517, Loss  0.872953, Average Loss  0.868250, Time  0.262948
2021-09-12 12:19:37.783259 : Epoch  9, Batch    518, Loss  0.898034, Average Loss  0.868410, Time  0.304811
2021-09-12 12:19:41.944809 : Epoch  9, Batch    519, Loss  0.884363, Average Loss  0.868526, Time  0.236921
2021-09-12 12:19:45.233875 : Epoch  9, Batch    520, Loss  0.857446, Average Loss  0.868482, Time  0.279669
2021-09-12 12:19:50.449925 : Epoch  9, Batch    521, Loss  0.879659, Average Loss  0.868462, Time  0.328229
2021-09-12 12:19:56.149526 : Epoch  9, Batch    522, Loss  0.884508, Average Loss  0.868442, Time  0.389701
2021-09-12 12:20:01.134837 : Epoch  9, Batch    523, Loss  0.879602, Average Loss  0.868460, Time  0.307071
2021-09-12 12:20:06.712429 : Epoch  9, Batch    524, Loss  0.864114, Average Loss  0.868389, Time  0.306348
2021-09-12 12:20:11.812151 : Epoch  9, Batch    525, Loss  0.864083, Average Loss  0.868244, Time  0.252403
2021-09-12 12:20:16.171264 : Epoch  9, Batch    526, Loss  0.875965, Average Loss  0.868323, Time  0.271975
2021-09-12 12:20:20.331299 : Epoch  9, Batch    527, Loss  0.866388, Average Loss  0.868321, Time  0.299738
2021-09-12 12:20:26.557190 : Epoch  9, Batch    528, Loss  0.859963, Average Loss  0.868314, Time  0.333727
2021-09-12 12:20:30.219944 : Epoch  9, Batch    529, Loss  0.861337, Average Loss  0.868243, Time  0.260056
2021-09-12 12:20:36.392510 : Epoch  9, Batch    530, Loss  0.886241, Average Loss  0.868295, Time  0.289119
2021-09-12 12:20:41.471771 : Epoch  9, Batch    531, Loss  0.896778, Average Loss  0.868405, Time  0.261909
2021-09-12 12:20:45.531064 : Epoch  9, Batch    532, Loss  0.874844, Average Loss  0.868366, Time  0.303687
2021-09-12 12:20:49.488819 : Epoch  9, Batch    533, Loss  0.884625, Average Loss  0.868414, Time  0.396300
2021-09-12 12:20:57.097722 : Epoch  9, Batch    534, Loss  0.846436, Average Loss  0.868197, Time  0.250511
2021-09-12 12:21:00.610293 : Epoch  9, Batch    535, Loss  0.859703, Average Loss  0.868079, Time  0.287317
2021-09-12 12:21:06.060818 : Epoch  9, Batch    536, Loss  0.860581, Average Loss  0.868007, Time  0.286511
2021-09-12 12:21:10.866806 : Epoch  9, Batch    537, Loss  0.876802, Average Loss  0.867966, Time  0.277236
2021-09-12 12:21:18.339911 : Epoch  9, Batch    538, Loss  0.875980, Average Loss  0.868008, Time  0.266871
2021-09-12 12:21:24.351870 : Epoch  9, Batch    539, Loss  0.863801, Average Loss  0.868059, Time  0.269761
2021-09-12 12:21:30.617296 : Epoch  9, Batch    540, Loss  0.866929, Average Loss  0.868061, Time  0.397770
2021-09-12 12:21:37.325096 : Epoch  9, Batch    541, Loss  0.885041, Average Loss  0.868254, Time  0.326872
2021-09-12 12:21:42.937834 : Epoch  9, Batch    542, Loss  0.859160, Average Loss  0.868172, Time  0.295057
2021-09-12 12:21:46.598287 : Epoch  9, Batch    543, Loss  0.881378, Average Loss  0.868289, Time  0.249147
2021-09-12 12:21:51.137968 : Epoch  9, Batch    544, Loss  0.869291, Average Loss  0.868412, Time  0.281104
2021-09-12 12:21:57.769553 : Epoch  9, Batch    545, Loss  0.863977, Average Loss  0.868332, Time  0.307209
2021-09-12 12:22:05.374275 : Epoch  9, Batch    546, Loss  0.877425, Average Loss  0.868404, Time  0.290370
2021-09-12 12:22:10.160952 : Epoch  9, Batch    547, Loss  0.888111, Average Loss  0.868528, Time  0.286318
2021-09-12 12:22:14.043696 : Epoch  9, Batch    548, Loss  0.879108, Average Loss  0.868573, Time  0.285632
2021-09-12 12:22:18.355274 : Epoch  9, Batch    549, Loss  0.868644, Average Loss  0.868691, Time  0.281253
2021-09-12 12:22:21.260989 : Epoch  9, Batch    550, Loss  0.865670, Average Loss  0.868756, Time  0.316547
2021-09-12 12:22:24.808856 : Epoch  9, Batch    551, Loss  0.862498, Average Loss  0.868750, Time  0.252478
2021-09-12 12:22:30.743988 : Epoch  9, Batch    552, Loss  0.880584, Average Loss  0.868727, Time  0.301897
2021-09-12 12:30:45.902713 : CheckPoint: Validation Loss  0.00030704, Best Loss  0.00029019
2021-09-12 12:30:51.229267 : Epoch  9, Batch    553, Loss  0.870443, Average Loss  0.868778, Time  0.349596
2021-09-12 12:30:58.917800 : Epoch  9, Batch    554, Loss  0.882014, Average Loss  0.868749, Time  0.406094
2021-09-12 12:31:06.278920 : Epoch  9, Batch    555, Loss  0.863685, Average Loss  0.868733, Time  0.364106
2021-09-12 12:31:10.314151 : Epoch  9, Batch    556, Loss  0.844717, Average Loss  0.868644, Time  0.350167
2021-09-12 12:31:14.953891 : Epoch  9, Batch    557, Loss  0.860498, Average Loss  0.868609, Time  0.325671
2021-09-12 12:31:21.222314 : Epoch  9, Batch    558, Loss  0.877009, Average Loss  0.868672, Time  0.329482
2021-09-12 12:31:29.795579 : Epoch  9, Batch    559, Loss  0.881495, Average Loss  0.868818, Time  0.426263
2021-09-12 12:31:36.410311 : Epoch  9, Batch    560, Loss  0.843424, Average Loss  0.868752, Time  0.344124
2021-09-12 12:31:39.292486 : Epoch  9, Batch    561, Loss  0.861823, Average Loss  0.868800, Time  0.257087
2021-09-12 12:31:42.143899 : Epoch  9, Batch    562, Loss  0.866006, Average Loss  0.868845, Time  0.273517
2021-09-12 12:31:48.185086 : Epoch  9, Batch    563, Loss  0.863776, Average Loss  0.868849, Time  0.301014
2021-09-12 12:31:55.258931 : Epoch  9, Batch    564, Loss  0.870337, Average Loss  0.868876, Time  0.273195
2021-09-12 12:32:01.258554 : Epoch  9, Batch    565, Loss  0.870549, Average Loss  0.868861, Time  0.355898
2021-09-12 12:32:08.465464 : Epoch  9, Batch    566, Loss  0.871934, Average Loss  0.868855, Time  0.276008
2021-09-12 12:32:12.784787 : Epoch  9, Batch    567, Loss  0.867730, Average Loss  0.868860, Time  0.322914
2021-09-12 12:32:20.523989 : Epoch  9, Batch    568, Loss  0.848626, Average Loss  0.868802, Time  0.265810
2021-09-12 12:32:24.772023 : Epoch  9, Batch    569, Loss  0.864216, Average Loss  0.868816, Time  0.266207
2021-09-12 12:32:31.233250 : Epoch  9, Batch    570, Loss  0.847084, Average Loss  0.868856, Time  0.319961
2021-09-12 12:32:34.260376 : Epoch  9, Batch    571, Loss  0.873339, Average Loss  0.868856, Time  0.235665
2021-09-12 12:32:39.224854 : Epoch  9, Batch    572, Loss  0.875900, Average Loss  0.868883, Time  0.318659
2021-09-12 12:32:44.354216 : Epoch  9, Batch    573, Loss  0.850338, Average Loss  0.868861, Time  0.301424
2021-09-12 12:32:49.808325 : Epoch  9, Batch    574, Loss  0.878290, Average Loss  0.869006, Time  0.304570
2021-09-12 12:32:56.791493 : Epoch  9, Batch    575, Loss  0.880739, Average Loss  0.869042, Time  0.284904
2021-09-12 12:33:02.459241 : Epoch  9, Batch    576, Loss  0.866879, Average Loss  0.869008, Time  0.307494
2021-09-12 12:33:10.299966 : Epoch  9, Batch    577, Loss  0.871670, Average Loss  0.869000, Time  0.324802
2021-09-12 12:33:15.502824 : Epoch  9, Batch    578, Loss  0.868781, Average Loss  0.869014, Time  0.323215
2021-09-12 12:33:19.719315 : Epoch  9, Batch    579, Loss  0.860970, Average Loss  0.868988, Time  0.286727
2021-09-12 12:33:24.844304 : Epoch  9, Batch    580, Loss  0.877171, Average Loss  0.868995, Time  0.282284
2021-09-12 12:33:31.094827 : Epoch  9, Batch    581, Loss  0.880264, Average Loss  0.868950, Time  0.298163
2021-09-12 12:33:36.209973 : Epoch  9, Batch    582, Loss  0.869175, Average Loss  0.868994, Time  0.236947
2021-09-12 12:33:41.578850 : Epoch  9, Batch    583, Loss  0.870237, Average Loss  0.868945, Time  0.300316
2021-09-12 12:33:45.496857 : Epoch  9, Batch    584, Loss  0.871076, Average Loss  0.869063, Time  0.261906
2021-09-12 12:33:49.522180 : Epoch  9, Batch    585, Loss  0.872406, Average Loss  0.869176, Time  0.242052
2021-09-12 12:33:52.768801 : Epoch  9, Batch    586, Loss  0.878110, Average Loss  0.869093, Time  0.270149
2021-09-12 12:33:58.308755 : Epoch  9, Batch    587, Loss  0.878417, Average Loss  0.869089, Time  0.262202
2021-09-12 12:34:02.164846 : Epoch  9, Batch    588, Loss  0.877111, Average Loss  0.869091, Time  0.380029
2021-09-12 12:34:06.614994 : Epoch  9, Batch    589, Loss  0.859547, Average Loss  0.868992, Time  0.281085
2021-09-12 12:34:11.046738 : Epoch  9, Batch    590, Loss  0.867850, Average Loss  0.869053, Time  0.275560
2021-09-12 12:34:15.509296 : Epoch  9, Batch    591, Loss  0.858940, Average Loss  0.868986, Time  0.374831
2021-09-12 12:34:21.275126 : Epoch  9, Batch    592, Loss  0.880360, Average Loss  0.868996, Time  0.271561
2021-09-12 12:34:26.965594 : Epoch  9, Batch    593, Loss  0.865190, Average Loss  0.868904, Time  0.327082
2021-09-12 12:34:34.250217 : Epoch  9, Batch    594, Loss  0.850131, Average Loss  0.868755, Time  0.336986
2021-09-12 12:34:41.334769 : Epoch  9, Batch    595, Loss  0.866877, Average Loss  0.868784, Time  0.331325
2021-09-12 12:34:45.948526 : Epoch  9, Batch    596, Loss  0.882366, Average Loss  0.868963, Time  0.319786
2021-09-12 12:34:52.738361 : Epoch  9, Batch    597, Loss  0.853886, Average Loss  0.868995, Time  0.346819
2021-09-12 12:34:57.159762 : Epoch  9, Batch    598, Loss  0.867645, Average Loss  0.868951, Time  0.264537
2021-09-12 12:35:03.437202 : Epoch  9, Batch    599, Loss  0.868190, Average Loss  0.868983, Time  0.314886
2021-09-12 12:35:07.426211 : Epoch  9, Batch    600, Loss  0.866197, Average Loss  0.868998, Time  0.268837
2021-09-12 12:35:11.128985 : Epoch  9, Batch    601, Loss  0.850199, Average Loss  0.868824, Time  0.250681
2021-09-12 12:35:16.594974 : Epoch  9, Batch    602, Loss  0.872727, Average Loss  0.868848, Time  0.373584
2021-09-12 12:35:24.398914 : Epoch  9, Batch    603, Loss  0.873879, Average Loss  0.868885, Time  0.277239
2021-09-12 12:35:30.182049 : Epoch  9, Batch    604, Loss  0.866312, Average Loss  0.868967, Time  0.329133
2021-09-12 12:35:34.984804 : Epoch  9, Batch    605, Loss  0.871633, Average Loss  0.868871, Time  0.244432
2021-09-12 12:35:41.359123 : Epoch  9, Batch    606, Loss  0.883772, Average Loss  0.869044, Time  0.336000
2021-09-12 12:35:44.650842 : Epoch  9, Batch    607, Loss  0.876548, Average Loss  0.869112, Time  0.304510
2021-09-12 12:35:51.410087 : Epoch  9, Batch    608, Loss  0.863918, Average Loss  0.869100, Time  0.315093
2021-09-12 12:35:59.149823 : Epoch  9, Batch    609, Loss  0.879952, Average Loss  0.869217, Time  0.366772
2021-09-12 12:36:05.212528 : Epoch  9, Batch    610, Loss  0.864796, Average Loss  0.869077, Time  0.300017
2021-09-12 12:36:09.037801 : Epoch  9, Batch    611, Loss  0.848922, Average Loss  0.869001, Time  0.305737
2021-09-12 12:36:16.515083 : Epoch  9, Batch    612, Loss  0.856024, Average Loss  0.868861, Time  0.387005
2021-09-12 12:36:22.307808 : Epoch  9, Batch    613, Loss  0.865608, Average Loss  0.868851, Time  0.377855
2021-09-12 12:36:29.363812 : Epoch  9, Batch    614, Loss  0.860915, Average Loss  0.868850, Time  0.380366
2021-09-12 12:36:34.423897 : Epoch  9, Batch    615, Loss  0.862070, Average Loss  0.868881, Time  0.273850
2021-09-12 12:36:38.530846 : Epoch  9, Batch    616, Loss  0.857268, Average Loss  0.868871, Time  0.375702
2021-09-12 12:36:44.390987 : Epoch  9, Batch    617, Loss  0.873968, Average Loss  0.868934, Time  0.290036
2021-09-12 12:36:49.084443 : Epoch  9, Batch    618, Loss  0.857983, Average Loss  0.868869, Time  0.249995
2021-09-12 12:36:53.942009 : Epoch  9, Batch    619, Loss  0.868062, Average Loss  0.868889, Time  0.263275
2021-09-12 12:37:00.853328 : Epoch  9, Batch    620, Loss  0.892438, Average Loss  0.869061, Time  0.337833
2021-09-12 12:37:08.015949 : Epoch  9, Batch    621, Loss  0.842740, Average Loss  0.868945, Time  0.313748
2021-09-12 12:37:16.922321 : Epoch  9, Batch    622, Loss  0.869358, Average Loss  0.869001, Time  0.373040
2021-09-12 12:37:22.838803 : Epoch  9, Batch    623, Loss  0.900086, Average Loss  0.869135, Time  0.291356
2021-09-12 12:37:28.211186 : Epoch  9, Batch    624, Loss  0.865559, Average Loss  0.869102, Time  0.374012
2021-09-12 12:37:31.452437 : Epoch  9, Batch    625, Loss  0.854944, Average Loss  0.869028, Time  0.253696
2021-09-12 12:37:36.296042 : Epoch  9, Batch    626, Loss  0.870893, Average Loss  0.869062, Time  0.307921
2021-09-12 12:37:42.299964 : Epoch  9, Batch    627, Loss  0.873371, Average Loss  0.869127, Time  0.345814
2021-09-12 12:37:47.728489 : Epoch  9, Batch    628, Loss  0.888224, Average Loss  0.869107, Time  0.259843
2021-09-12 12:37:52.557892 : Epoch  9, Batch    629, Loss  0.863965, Average Loss  0.869098, Time  0.296654
2021-09-12 12:37:56.502742 : Epoch  9, Batch    630, Loss  0.862325, Average Loss  0.869126, Time  0.312040
2021-09-12 12:38:00.303459 : Epoch  9, Batch    631, Loss  0.887067, Average Loss  0.869154, Time  0.298525
2021-09-12 12:38:05.905040 : Epoch  9, Batch    632, Loss  0.867968, Average Loss  0.869105, Time  0.304552
2021-09-12 12:38:11.185127 : Epoch  9, Batch    633, Loss  0.877570, Average Loss  0.869014, Time  0.271156
2021-09-12 12:38:16.924624 : Epoch  9, Batch    634, Loss  0.865615, Average Loss  0.869011, Time  0.327542
2021-09-12 12:38:21.832954 : Epoch  9, Batch    635, Loss  0.868361, Average Loss  0.868860, Time  0.247505
2021-09-12 12:38:25.737438 : Epoch  9, Batch    636, Loss  0.864531, Average Loss  0.868771, Time  0.236681
2021-09-12 12:38:30.745808 : Epoch  9, Batch    637, Loss  0.857236, Average Loss  0.868686, Time  0.320644
2021-09-12 12:38:34.951416 : Epoch  9, Batch    638, Loss  0.871651, Average Loss  0.868706, Time  0.288762
2021-09-12 12:38:37.673207 : Epoch  9, Batch    639, Loss  0.858025, Average Loss  0.868667, Time  0.259958
2021-09-12 12:38:42.130015 : Epoch  9, Batch    640, Loss  0.855154, Average Loss  0.868590, Time  0.329539
2021-09-12 12:38:46.880992 : Epoch  9, Batch    641, Loss  0.886923, Average Loss  0.868682, Time  0.383145
2021-09-12 12:38:51.427769 : Epoch  9, Batch    642, Loss  0.882216, Average Loss  0.868765, Time  0.298578
2021-09-12 12:38:56.610135 : Epoch  9, Batch    643, Loss  0.873595, Average Loss  0.868851, Time  0.261210
2021-09-12 12:39:02.462808 : Epoch  9, Batch    644, Loss  0.873027, Average Loss  0.868871, Time  0.319740
2021-09-12 12:39:06.501739 : Epoch  9, Batch    645, Loss  0.863458, Average Loss  0.868847, Time  0.239098
2021-09-12 12:39:11.686811 : Epoch  9, Batch    646, Loss  0.876683, Average Loss  0.868962, Time  0.342129
2021-09-12 12:39:17.311016 : Epoch  9, Batch    647, Loss  0.842759, Average Loss  0.868844, Time  0.301294
2021-09-12 12:39:20.819836 : Epoch  9, Batch    648, Loss  0.859691, Average Loss  0.868828, Time  0.288790
2021-09-12 12:39:25.779743 : Epoch  9, Batch    649, Loss  0.880105, Average Loss  0.868979, Time  0.323812
2021-09-12 12:39:31.662888 : Epoch  9, Batch    650, Loss  0.857252, Average Loss  0.868878, Time  0.275381
2021-09-12 12:39:35.454866 : Epoch  9, Batch    651, Loss  0.869083, Average Loss  0.868887, Time  0.264178
2021-09-12 12:39:40.564913 : Epoch  9, Batch    652, Loss  0.870443, Average Loss  0.868948, Time  0.236378
2021-09-12 12:47:26.624878 : CheckPoint: Validation Loss  0.00030480, Best Loss  0.00029019
2021-09-12 12:47:33.316018 : Epoch  9, Batch    653, Loss  0.871788, Average Loss  0.868937, Time  0.332745
2021-09-12 12:47:37.930186 : Epoch  9, Batch    654, Loss  0.879712, Average Loss  0.869001, Time  0.236185
2021-09-12 12:47:44.375881 : Epoch  9, Batch    655, Loss  0.882521, Average Loss  0.869068, Time  0.259115
2021-09-12 12:47:51.530882 : Epoch  9, Batch    656, Loss  0.883025, Average Loss  0.869168, Time  0.323992
2021-09-12 12:47:55.753247 : Epoch  9, Batch    657, Loss  0.878064, Average Loss  0.869185, Time  0.254200
2021-09-12 12:48:00.689286 : Epoch  9, Batch    658, Loss  0.864982, Average Loss  0.869193, Time  0.312053
2021-09-12 12:48:05.694697 : Epoch  9, Batch    659, Loss  0.858410, Average Loss  0.869060, Time  0.301677
2021-09-12 12:48:11.733817 : Epoch  9, Batch    660, Loss  0.852588, Average Loss  0.869099, Time  0.291278
2021-09-12 12:48:18.170318 : Epoch  9, Batch    661, Loss  0.867863, Average Loss  0.869221, Time  0.329871
2021-09-12 12:48:21.903823 : Epoch  9, Batch    662, Loss  0.862928, Average Loss  0.869208, Time  0.305091
2021-09-12 12:48:27.014486 : Epoch  9, Batch    663, Loss  0.882735, Average Loss  0.869330, Time  0.306617
2021-09-12 12:48:33.260556 : Epoch  9, Batch    664, Loss  0.860637, Average Loss  0.869294, Time  0.318407
2021-09-12 12:48:38.666329 : Epoch  9, Batch    665, Loss  0.850786, Average Loss  0.869240, Time  0.519302
2021-09-12 12:48:45.049367 : Epoch  9, Batch    666, Loss  0.880259, Average Loss  0.869340, Time  0.407350
2021-09-12 12:48:50.324382 : Epoch  9, Batch    667, Loss  0.882382, Average Loss  0.869473, Time  0.471158
2021-09-12 12:48:57.205843 : Epoch  9, Batch    668, Loss  0.877921, Average Loss  0.869550, Time  0.345494
2021-09-12 12:49:03.243021 : Epoch  9, Batch    669, Loss  0.886295, Average Loss  0.869662, Time  0.266065
2021-09-12 12:49:11.016106 : Epoch  9, Batch    670, Loss  0.861793, Average Loss  0.869552, Time  0.531892
2021-09-12 12:49:16.449486 : Epoch  9, Batch    671, Loss  0.866851, Average Loss  0.869503, Time  0.344361
2021-09-12 12:49:21.851283 : Epoch  9, Batch    672, Loss  0.872980, Average Loss  0.869595, Time  0.273794
2021-09-12 12:49:26.428244 : Epoch  9, Batch    673, Loss  0.857063, Average Loss  0.869475, Time  0.236026
2021-09-12 12:49:30.008857 : Epoch  9, Batch    674, Loss  0.849405, Average Loss  0.869271, Time  0.278432
2021-09-12 12:49:34.922969 : Epoch  9, Batch    675, Loss  0.895461, Average Loss  0.869448, Time  0.337005
2021-09-12 12:49:41.166992 : Epoch  9, Batch    676, Loss  0.864628, Average Loss  0.869408, Time  0.307426
2021-09-12 12:49:45.809535 : Epoch  9, Batch    677, Loss  0.855360, Average Loss  0.869250, Time  0.272548
2021-09-12 12:49:51.191208 : Epoch  9, Batch    678, Loss  0.871286, Average Loss  0.869220, Time  0.273895
2021-09-12 12:49:58.863325 : Epoch  9, Batch    679, Loss  0.861887, Average Loss  0.869194, Time  0.328155
2021-09-12 12:50:04.149922 : Epoch  9, Batch    680, Loss  0.870351, Average Loss  0.869273, Time  0.288918
2021-09-12 12:50:08.817118 : Epoch  9, Batch    681, Loss  0.857210, Average Loss  0.869329, Time  0.257797
2021-09-12 12:50:13.268969 : Epoch  9, Batch    682, Loss  0.874047, Average Loss  0.869396, Time  0.310643
2021-09-12 12:50:19.216309 : Epoch  9, Batch    683, Loss  0.875709, Average Loss  0.869431, Time  0.270385
2021-09-12 12:50:24.348316 : Epoch  9, Batch    684, Loss  0.853338, Average Loss  0.869305, Time  0.319130
2021-09-12 12:50:27.359060 : Epoch  9, Batch    685, Loss  0.848448, Average Loss  0.869146, Time  0.265325
2021-09-12 12:50:32.317311 : Epoch  9, Batch    686, Loss  0.871899, Average Loss  0.869178, Time  0.395379
2021-09-12 12:50:39.698863 : Epoch  9, Batch    687, Loss  0.843976, Average Loss  0.869030, Time  0.294618
2021-09-12 12:50:46.232291 : Epoch  9, Batch    688, Loss  0.853543, Average Loss  0.868969, Time  0.271817
2021-09-12 12:50:54.939902 : Epoch  9, Batch    689, Loss  0.889443, Average Loss  0.869006, Time  0.288943
2021-09-12 12:50:59.980094 : Epoch  9, Batch    690, Loss  0.874685, Average Loss  0.869113, Time  0.378161
2021-09-12 12:51:03.286917 : Epoch  9, Batch    691, Loss  0.854579, Average Loss  0.869125, Time  0.298232
2021-09-12 12:51:09.633071 : Epoch  9, Batch    692, Loss  0.867247, Average Loss  0.869155, Time  0.286979
2021-09-12 12:51:13.406151 : Epoch  9, Batch    693, Loss  0.868094, Average Loss  0.869193, Time  0.258517
2021-09-12 12:51:21.138806 : Epoch  9, Batch    694, Loss  0.842549, Average Loss  0.869167, Time  0.447172
2021-09-12 12:51:26.948840 : Epoch  9, Batch    695, Loss  0.854534, Average Loss  0.869121, Time  0.265276
2021-09-12 12:51:30.562966 : Epoch  9, Batch    696, Loss  0.870694, Average Loss  0.869137, Time  0.270400
2021-09-12 12:51:34.576210 : Epoch  9, Batch    697, Loss  0.901057, Average Loss  0.869219, Time  0.236259
2021-09-12 12:51:39.434261 : Epoch  9, Batch    698, Loss  0.899539, Average Loss  0.869359, Time  0.332335
2021-09-12 12:51:43.748762 : Epoch  9, Batch    699, Loss  0.859759, Average Loss  0.869208, Time  0.268200
2021-09-12 12:51:47.393774 : Epoch  9, Batch    700, Loss  0.877046, Average Loss  0.869228, Time  0.295561
2021-09-12 12:51:51.317272 : Epoch  9, Batch    701, Loss  0.871211, Average Loss  0.869212, Time  0.270444
2021-09-12 12:51:54.668911 : Epoch  9, Batch    702, Loss  0.867404, Average Loss  0.869107, Time  0.267374
2021-09-12 12:52:00.215253 : Epoch  9, Batch    703, Loss  0.869977, Average Loss  0.869032, Time  0.295069
2021-09-12 12:52:05.563946 : Epoch  9, Batch    704, Loss  0.874849, Average Loss  0.869123, Time  0.236235
2021-09-12 12:52:08.485216 : Epoch  9, Batch    705, Loss  0.865779, Average Loss  0.869114, Time  0.236449
2021-09-12 12:52:14.151754 : Epoch  9, Batch    706, Loss  0.863459, Average Loss  0.869147, Time  0.271090
2021-09-12 12:52:20.818990 : Epoch  9, Batch    707, Loss  0.877077, Average Loss  0.869120, Time  0.314010
2021-09-12 12:52:27.993750 : Epoch  9, Batch    708, Loss  0.885571, Average Loss  0.869263, Time  0.276624
2021-09-12 12:52:31.542885 : Epoch  9, Batch    709, Loss  0.863502, Average Loss  0.869256, Time  0.295960
2021-09-12 12:52:35.532409 : Epoch  9, Batch    710, Loss  0.873211, Average Loss  0.869117, Time  0.333450
2021-09-12 12:52:39.924905 : Epoch  9, Batch    711, Loss  0.857758, Average Loss  0.869030, Time  0.289584
2021-09-12 12:52:46.330838 : Epoch  9, Batch    712, Loss  0.855811, Average Loss  0.868933, Time  0.288203
2021-09-12 12:52:49.849945 : Epoch  9, Batch    713, Loss  0.880018, Average Loss  0.869048, Time  0.299572
2021-09-12 12:52:55.066791 : Epoch  9, Batch    714, Loss  0.862644, Average Loss  0.869025, Time  0.236921
2021-09-12 12:52:58.952970 : Epoch  9, Batch    715, Loss  0.872365, Average Loss  0.869040, Time  0.287952
2021-09-12 12:53:04.770004 : Epoch  9, Batch    716, Loss  0.858769, Average Loss  0.868995, Time  0.318933
2021-09-12 12:53:09.683847 : Epoch  9, Batch    717, Loss  0.880258, Average Loss  0.869032, Time  0.272058
2021-09-12 12:53:15.995844 : Epoch  9, Batch    718, Loss  0.859783, Average Loss  0.868841, Time  0.272691
2021-09-12 12:53:18.940801 : Epoch  9, Batch    719, Loss  0.869673, Average Loss  0.868767, Time  0.266448
2021-09-12 12:53:24.145951 : Epoch  9, Batch    720, Loss  0.862527, Average Loss  0.868793, Time  0.319761
2021-09-12 12:53:28.927100 : Epoch  9, Batch    721, Loss  0.872647, Average Loss  0.868758, Time  0.349489
2021-09-12 12:53:37.467436 : Epoch  9, Batch    722, Loss  0.866454, Average Loss  0.868667, Time  0.433246
2021-09-12 12:53:43.263868 : Epoch  9, Batch    723, Loss  0.855985, Average Loss  0.868549, Time  0.283542
2021-09-12 12:53:51.357930 : Epoch  9, Batch    724, Loss  0.868077, Average Loss  0.868569, Time  0.284498
2021-09-12 12:53:58.599874 : Epoch  9, Batch    725, Loss  0.881252, Average Loss  0.868655, Time  0.264077
2021-09-12 12:54:04.725223 : Epoch  9, Batch    726, Loss  0.843182, Average Loss  0.868491, Time  0.347954
2021-09-12 12:54:12.947050 : Epoch  9, Batch    727, Loss  0.867778, Average Loss  0.868498, Time  0.331328
2021-09-12 12:54:18.257065 : Epoch  9, Batch    728, Loss  0.871786, Average Loss  0.868557, Time  0.262609
2021-09-12 12:54:24.365941 : Epoch  9, Batch    729, Loss  0.847838, Average Loss  0.868489, Time  0.428371
2021-09-12 12:54:31.094121 : Epoch  9, Batch    730, Loss  0.857406, Average Loss  0.868345, Time  0.321900
2021-09-12 12:54:36.897280 : Epoch  9, Batch    731, Loss  0.878830, Average Loss  0.868256, Time  0.342955
2021-09-12 12:54:45.582872 : Epoch  9, Batch    732, Loss  0.878374, Average Loss  0.868273, Time  0.243005
2021-09-12 12:54:50.865174 : Epoch  9, Batch    733, Loss  0.867992, Average Loss  0.868190, Time  0.268305
2021-09-12 12:54:53.724041 : Epoch  9, Batch    734, Loss  0.865010, Average Loss  0.868283, Time  0.281439
2021-09-12 12:54:58.598429 : Epoch  9, Batch    735, Loss  0.894857, Average Loss  0.868459, Time  0.282702
2021-09-12 12:55:05.221828 : Epoch  9, Batch    736, Loss  0.854411, Average Loss  0.868428, Time  0.266599
2021-09-12 12:55:10.290888 : Epoch  9, Batch    737, Loss  0.877170, Average Loss  0.868430, Time  0.240289
2021-09-12 12:55:16.126782 : Epoch  9, Batch    738, Loss  0.851279, Average Loss  0.868306, Time  0.282595
2021-09-12 12:55:22.347482 : Epoch  9, Batch    739, Loss  0.866751, Average Loss  0.868321, Time  0.396006
2021-09-12 12:55:26.497175 : Epoch  9, Batch    740, Loss  0.877719, Average Loss  0.868375, Time  0.288820
2021-09-12 12:55:31.827942 : Epoch  9, Batch    741, Loss  0.881869, Average Loss  0.868359, Time  0.446811
2021-09-12 12:55:38.842783 : Epoch  9, Batch    742, Loss  0.873845, Average Loss  0.868432, Time  0.320060
2021-09-12 12:55:44.116758 : Epoch  9, Batch    743, Loss  0.862348, Average Loss  0.868337, Time  0.320693
2021-09-12 12:55:51.230303 : Epoch  9, Batch    744, Loss  0.865317, Average Loss  0.868317, Time  0.430977
2021-09-12 12:55:54.466259 : Epoch  9, Batch    745, Loss  0.866680, Average Loss  0.868331, Time  0.297119
2021-09-12 12:56:00.039826 : Epoch  9, Batch    746, Loss  0.870549, Average Loss  0.868297, Time  0.240802
2021-09-12 12:56:04.033967 : Epoch  9, Batch    747, Loss  0.863446, Average Loss  0.868173, Time  0.236130
2021-09-12 12:56:07.579551 : Epoch  9, Batch    748, Loss  0.863578, Average Loss  0.868096, Time  0.272330
2021-09-12 12:56:10.175085 : Epoch  9, Batch    749, Loss  0.879216, Average Loss  0.868148, Time  0.236273
2021-09-12 12:56:14.334795 : Epoch  9, Batch    750, Loss  0.869834, Average Loss  0.868169, Time  0.286262
2021-09-12 12:56:19.242836 : Epoch  9, Batch    751, Loss  0.879041, Average Loss  0.868252, Time  0.250671
2021-09-12 12:56:24.107731 : Epoch  9, Batch    752, Loss  0.863255, Average Loss  0.868165, Time  0.294611
2021-09-12 13:04:20.021712 : CheckPoint: Validation Loss  0.00030633, Best Loss  0.00029019
2021-09-12 13:04:24.997137 : Epoch  9, Batch    753, Loss  0.870775, Average Loss  0.868167, Time  0.308412
2021-09-12 13:04:29.295044 : Epoch  9, Batch    754, Loss  0.877328, Average Loss  0.868144, Time  0.304209
2021-09-12 13:04:33.958038 : Epoch  9, Batch    755, Loss  0.859383, Average Loss  0.868122, Time  0.425646
2021-09-12 13:04:37.295805 : Epoch  9, Batch    756, Loss  0.851217, Average Loss  0.868155, Time  0.279375
2021-09-12 13:04:42.325873 : Epoch  9, Batch    757, Loss  0.862887, Average Loss  0.868166, Time  0.266996
2021-09-12 13:04:45.008127 : Epoch  9, Batch    758, Loss  0.868126, Average Loss  0.868122, Time  0.326237
2021-09-12 13:04:51.022906 : Epoch  9, Batch    759, Loss  0.860156, Average Loss  0.868015, Time  0.364040
2021-09-12 13:04:56.437900 : Epoch  9, Batch    760, Loss  0.866597, Average Loss  0.868131, Time  0.330199
2021-09-12 13:05:03.020238 : Epoch  9, Batch    761, Loss  0.878798, Average Loss  0.868216, Time  0.385760
2021-09-12 13:05:10.305242 : Epoch  9, Batch    762, Loss  0.867593, Average Loss  0.868224, Time  0.346139
2021-09-12 13:05:14.680240 : Epoch  9, Batch    763, Loss  0.868146, Average Loss  0.868246, Time  0.236136
2021-09-12 13:05:21.078955 : Epoch  9, Batch    764, Loss  0.873322, Average Loss  0.868261, Time  0.297225
2021-09-12 13:05:26.598042 : Epoch  9, Batch    765, Loss  0.867454, Average Loss  0.868245, Time  0.268830
2021-09-12 13:05:32.400275 : Epoch  9, Batch    766, Loss  0.879448, Average Loss  0.868283, Time  0.320278
2021-09-12 13:05:36.173394 : Epoch  9, Batch    767, Loss  0.881808, Average Loss  0.868353, Time  0.251049
2021-09-12 13:05:41.944287 : Epoch  9, Batch    768, Loss  0.874665, Average Loss  0.868484, Time  0.288406
2021-09-12 13:05:46.802766 : Epoch  9, Batch    769, Loss  0.864385, Average Loss  0.868484, Time  0.265806
2021-09-12 13:05:49.507383 : Epoch  9, Batch    770, Loss  0.849373, Average Loss  0.868496, Time  0.287355
2021-09-12 13:05:53.946161 : Epoch  9, Batch    771, Loss  0.886466, Average Loss  0.868561, Time  0.326944
2021-09-12 13:06:00.729823 : Epoch  9, Batch    772, Loss  0.862728, Average Loss  0.868496, Time  0.297229
2021-09-12 13:06:06.096157 : Epoch  9, Batch    773, Loss  0.866490, Average Loss  0.868576, Time  0.244122
2021-09-12 13:06:11.629923 : Epoch  9, Batch    774, Loss  0.860550, Average Loss  0.868488, Time  0.316472
2021-09-12 13:06:16.635800 : Epoch  9, Batch    775, Loss  0.879407, Average Loss  0.868481, Time  0.279953
2021-09-12 13:06:22.661201 : Epoch  9, Batch    776, Loss  0.874524, Average Loss  0.868519, Time  0.236127
2021-09-12 13:06:26.617433 : Epoch  9, Batch    777, Loss  0.869989, Average Loss  0.868511, Time  0.301386
2021-09-12 13:06:31.316798 : Epoch  9, Batch    778, Loss  0.875762, Average Loss  0.868546, Time  0.301288
2021-09-12 13:06:36.533930 : Epoch  9, Batch    779, Loss  0.872885, Average Loss  0.868605, Time  0.430316
2021-09-12 13:06:41.623296 : Epoch  9, Batch    780, Loss  0.854110, Average Loss  0.868490, Time  0.301124
2021-09-12 13:06:44.517866 : Epoch  9, Batch    781, Loss  0.860492, Average Loss  0.868391, Time  0.320502
2021-09-12 13:06:47.607222 : Epoch  9, Batch    782, Loss  0.907730, Average Loss  0.868584, Time  0.252657
2021-09-12 13:06:50.429012 : Epoch  9, Batch    783, Loss  0.847466, Average Loss  0.868470, Time  0.236352
2021-09-12 13:06:54.597125 : Epoch  9, Batch    784, Loss  0.873056, Average Loss  0.868480, Time  0.284289
2021-09-12 13:06:58.676755 : Epoch  9, Batch    785, Loss  0.862120, Average Loss  0.868428, Time  0.259387
2021-09-12 13:07:06.740151 : Epoch  9, Batch    786, Loss  0.879542, Average Loss  0.868436, Time  0.487529
2021-09-12 13:07:13.883835 : Epoch  9, Batch    787, Loss  0.865748, Average Loss  0.868372, Time  0.260605
2021-09-12 13:07:21.377306 : Epoch  9, Batch    788, Loss  0.856172, Average Loss  0.868268, Time  0.322049
2021-09-12 13:07:25.608020 : Epoch  9, Batch    789, Loss  0.863177, Average Loss  0.868286, Time  0.314024
2021-09-12 13:07:30.191099 : Epoch  9, Batch    790, Loss  0.861109, Average Loss  0.868252, Time  0.279119
2021-09-12 13:07:34.528738 : Epoch  9, Batch    791, Loss  0.887444, Average Loss  0.868395, Time  0.257366
2021-09-12 13:07:40.554984 : Epoch  9, Batch    792, Loss  0.850850, Average Loss  0.868247, Time  0.289638
2021-09-12 13:07:46.945844 : Epoch  9, Batch    793, Loss  0.861123, Average Loss  0.868227, Time  0.312364
2021-09-12 13:07:51.741222 : Epoch  9, Batch    794, Loss  0.866864, Average Loss  0.868310, Time  0.258429
2021-09-12 13:07:56.718392 : Epoch  9, Batch    795, Loss  0.859264, Average Loss  0.868272, Time  0.293203
2021-09-12 13:08:00.248006 : Epoch  9, Batch    796, Loss  0.873375, Average Loss  0.868227, Time  0.313685
2021-09-12 13:08:04.999217 : Epoch  9, Batch    797, Loss  0.869582, Average Loss  0.868306, Time  0.252659
2021-09-12 13:08:12.009748 : Epoch  9, Batch    798, Loss  0.864729, Average Loss  0.868291, Time  0.323517
2021-09-12 13:08:18.032928 : Epoch  9, Batch    799, Loss  0.863925, Average Loss  0.868270, Time  0.276416
2021-09-12 13:08:24.928803 : Epoch  9, Batch    800, Loss  0.852537, Average Loss  0.868202, Time  0.310522
2021-09-12 13:08:29.732419 : Epoch  9, Batch    801, Loss  0.880391, Average Loss  0.868353, Time  0.307944
2021-09-12 13:08:35.810869 : Epoch  9, Batch    802, Loss  0.861972, Average Loss  0.868299, Time  0.343578
2021-09-12 13:08:40.376018 : Epoch  9, Batch    803, Loss  0.867168, Average Loss  0.868265, Time  0.236467
2021-09-12 13:08:44.969852 : Epoch  9, Batch    804, Loss  0.849309, Average Loss  0.868180, Time  0.236334
2021-09-12 13:08:50.135299 : Epoch  9, Batch    805, Loss  0.890608, Average Loss  0.868275, Time  0.304714
2021-09-12 13:08:53.436324 : Epoch  9, Batch    806, Loss  0.883779, Average Loss  0.868275, Time  0.290390
2021-09-12 13:08:58.647609 : Epoch  9, Batch    807, Loss  0.870007, Average Loss  0.868242, Time  0.363940
2021-09-12 13:09:01.521434 : Epoch  9, Batch    808, Loss  0.851033, Average Loss  0.868178, Time  0.240653
2021-09-12 13:09:05.817800 : Epoch  9, Batch    809, Loss  0.856769, Average Loss  0.868062, Time  0.236556
2021-09-12 13:09:11.791462 : Epoch  9, Batch    810, Loss  0.869300, Average Loss  0.868085, Time  0.394487
2021-09-12 13:09:18.805880 : Epoch  9, Batch    811, Loss  0.885671, Average Loss  0.868268, Time  0.304637
2021-09-12 13:09:24.464800 : Epoch  9, Batch    812, Loss  0.879447, Average Loss  0.868385, Time  0.242534
2021-09-12 13:09:29.349939 : Epoch  9, Batch    813, Loss  0.859549, Average Loss  0.868355, Time  0.372231
2021-09-12 13:09:35.261039 : Epoch  9, Batch    814, Loss  0.831954, Average Loss  0.868210, Time  0.361085
2021-09-12 13:09:38.549790 : Epoch  9, Batch    815, Loss  0.859718, Average Loss  0.868199, Time  0.236727
2021-09-12 13:09:44.179316 : Epoch  9, Batch    816, Loss  0.882750, Average Loss  0.868326, Time  0.289520
2021-09-12 13:09:48.657930 : Epoch  9, Batch    817, Loss  0.878848, Average Loss  0.868350, Time  0.288979
2021-09-12 13:09:51.338902 : Epoch  9, Batch    818, Loss  0.870160, Average Loss  0.868411, Time  0.276205
2021-09-12 13:09:55.764897 : Epoch  9, Batch    819, Loss  0.873054, Average Loss  0.868436, Time  0.277084
2021-09-12 13:10:01.522797 : Epoch  9, Batch    820, Loss  0.854508, Average Loss  0.868247, Time  0.298597
2021-09-12 13:10:05.708183 : Epoch  9, Batch    821, Loss  0.873424, Average Loss  0.868400, Time  0.258391
2021-09-12 13:10:09.741989 : Epoch  9, Batch    822, Loss  0.874782, Average Loss  0.868427, Time  0.302393
2021-09-12 13:10:15.618789 : Epoch  9, Batch    823, Loss  0.873213, Average Loss  0.868293, Time  0.282324
2021-09-12 13:10:21.730946 : Epoch  9, Batch    824, Loss  0.868994, Average Loss  0.868310, Time  0.288233
2021-09-12 13:10:25.895224 : Epoch  9, Batch    825, Loss  0.868997, Average Loss  0.868380, Time  0.288699
2021-09-12 13:10:28.596217 : Epoch  9, Batch    826, Loss  0.879436, Average Loss  0.868423, Time  0.239075
2021-09-12 13:10:32.016692 : Epoch  9, Batch    827, Loss  0.865480, Average Loss  0.868383, Time  0.340147
2021-09-12 13:10:36.310306 : Epoch  9, Batch    828, Loss  0.873890, Average Loss  0.868312, Time  0.320082
2021-09-12 13:10:41.735728 : Epoch  9, Batch    829, Loss  0.875201, Average Loss  0.868368, Time  0.262138
2021-09-12 13:10:46.766431 : Epoch  9, Batch    830, Loss  0.866516, Average Loss  0.868389, Time  0.289717
2021-09-12 13:10:50.513040 : Epoch  9, Batch    831, Loss  0.893732, Average Loss  0.868422, Time  0.294890
2021-09-12 13:10:54.597932 : Epoch  9, Batch    832, Loss  0.872514, Average Loss  0.868445, Time  0.236253
2021-09-12 13:10:57.681895 : Epoch  9, Batch    833, Loss  0.852521, Average Loss  0.868320, Time  0.241286
2021-09-12 13:11:02.916954 : Epoch  9, Batch    834, Loss  0.867611, Average Loss  0.868330, Time  0.357143
2021-09-12 13:11:07.657382 : Epoch  9, Batch    835, Loss  0.885765, Average Loss  0.868417, Time  0.259189
2021-09-12 13:11:11.807242 : Epoch  9, Batch    836, Loss  0.885408, Average Loss  0.868521, Time  0.287828
2021-09-12 13:11:17.943912 : Epoch  9, Batch    837, Loss  0.860794, Average Loss  0.868539, Time  0.377696
2021-09-12 13:11:20.849273 : Epoch  9, Batch    838, Loss  0.874931, Average Loss  0.868555, Time  0.326126
2021-09-12 13:11:24.188883 : Epoch  9, Batch    839, Loss  0.865346, Average Loss  0.868592, Time  0.287624
2021-09-12 13:11:28.735459 : Epoch  9, Batch    840, Loss  0.881840, Average Loss  0.868725, Time  0.236719
2021-09-12 13:11:32.797917 : Epoch  9, Batch    841, Loss  0.848848, Average Loss  0.868535, Time  0.295351
2021-09-12 13:11:38.291338 : Epoch  9, Batch    842, Loss  0.870275, Average Loss  0.868475, Time  0.297984
2021-09-12 13:11:42.531295 : Epoch  9, Batch    843, Loss  0.854521, Average Loss  0.868380, Time  0.284888
2021-09-12 13:11:46.218050 : Epoch  9, Batch    844, Loss  0.879971, Average Loss  0.868415, Time  0.248341
2021-09-12 13:11:49.230884 : Epoch  9, Batch    845, Loss  0.872766, Average Loss  0.868461, Time  0.236439
2021-09-12 13:11:53.298054 : Epoch  9, Batch    846, Loss  0.874796, Average Loss  0.868452, Time  0.236309
2021-09-12 13:11:56.942097 : Epoch  9, Batch    847, Loss  0.854998, Average Loss  0.868513, Time  0.356418
2021-09-12 13:12:02.814862 : Epoch  9, Batch    848, Loss  0.863522, Average Loss  0.868532, Time  0.362418
2021-09-12 13:12:07.192781 : Epoch  9, Batch    849, Loss  0.901423, Average Loss  0.868639, Time  0.262680
2021-09-12 13:12:11.775218 : Epoch  9, Batch    850, Loss  0.871938, Average Loss  0.868712, Time  0.266454
2021-09-12 13:12:18.114818 : Epoch  9, Batch    851, Loss  0.876891, Average Loss  0.868751, Time  0.315727
2021-09-12 13:12:21.153998 : Epoch  9, Batch    852, Loss  0.865869, Average Loss  0.868728, Time  0.236819
2021-09-12 13:21:12.006941 : CheckPoint: Validation Loss  0.00030407, Best Loss  0.00029019
2021-09-12 13:21:15.175303 : Epoch  9, Batch    853, Loss  0.854749, Average Loss  0.868643, Time  0.272168
2021-09-12 13:21:19.749892 : Epoch  9, Batch    854, Loss  0.861200, Average Loss  0.868551, Time  0.295160
2021-09-12 13:21:25.270786 : Epoch  9, Batch    855, Loss  0.860673, Average Loss  0.868441, Time  0.256491
2021-09-12 13:21:28.554321 : Epoch  9, Batch    856, Loss  0.889696, Average Loss  0.868475, Time  0.313989
2021-09-12 13:21:34.043805 : Epoch  9, Batch    857, Loss  0.845982, Average Loss  0.868314, Time  0.436077
2021-09-12 13:21:41.018317 : Epoch  9, Batch    858, Loss  0.861804, Average Loss  0.868298, Time  0.308749
2021-09-12 13:21:46.311888 : Epoch  9, Batch    859, Loss  0.889119, Average Loss  0.868452, Time  0.345562
2021-09-12 13:21:51.274160 : Epoch  9, Batch    860, Loss  0.874478, Average Loss  0.868561, Time  0.303417
2021-09-12 13:21:55.802838 : Epoch  9, Batch    861, Loss  0.879663, Average Loss  0.868620, Time  0.271803
2021-09-12 13:22:00.391378 : Epoch  9, Batch    862, Loss  0.882734, Average Loss  0.868719, Time  0.264098
2021-09-12 13:22:07.280867 : Epoch  9, Batch    863, Loss  0.876702, Average Loss  0.868689, Time  0.284112
2021-09-12 13:22:13.834458 : Epoch  9, Batch    864, Loss  0.875089, Average Loss  0.868761, Time  0.326050
2021-09-12 13:22:19.453985 : Epoch  9, Batch    865, Loss  0.855359, Average Loss  0.868784, Time  0.345566
2021-09-12 13:22:21.562888 : Epoch  9, Batch    866, Loss  0.866083, Average Loss  0.868713, Time  0.164012
2021-09-12 13:22:26.723976 : Epoch  9, Batch    867, Loss  0.867405, Average Loss  0.868639, Time  0.259693
2021-09-12 13:22:33.100786 : Epoch  9, Batch    868, Loss  0.885702, Average Loss  0.868677, Time  0.351050
2021-09-12 13:22:39.613855 : Epoch  9, Batch    869, Loss  0.897455, Average Loss  0.868733, Time  0.263962
2021-09-12 13:22:45.695881 : Epoch  9, Batch    870, Loss  0.890269, Average Loss  0.868876, Time  0.344192
2021-09-12 13:22:52.453796 : Epoch  9, Batch    871, Loss  0.872508, Average Loss  0.868904, Time  0.346109
2021-09-12 13:22:57.888963 : Epoch  9, Batch    872, Loss  0.870056, Average Loss  0.868889, Time  0.372852
2021-09-12 13:23:05.252329 : Epoch  9, Batch    873, Loss  0.889697, Average Loss  0.869053, Time  0.318075
2021-09-12 13:23:08.963052 : Epoch  9, Batch    874, Loss  0.866981, Average Loss  0.869140, Time  0.236627
2021-09-12 13:23:15.098321 : Epoch  9, Batch    875, Loss  0.864469, Average Loss  0.868985, Time  0.338492
2021-09-12 13:23:22.420792 : Epoch  9, Batch    876, Loss  0.884315, Average Loss  0.869084, Time  0.343375
2021-09-12 13:23:28.776460 : Epoch  9, Batch    877, Loss  0.860890, Average Loss  0.869112, Time  0.237454
2021-09-12 13:23:32.491131 : Epoch  9, Batch    878, Loss  0.886521, Average Loss  0.869188, Time  0.269737
2021-09-12 13:23:39.384111 : Epoch  9, Batch    879, Loss  0.902325, Average Loss  0.869390, Time  0.348832
2021-09-12 13:23:46.678907 : Epoch  9, Batch    880, Loss  0.866879, Average Loss  0.869373, Time  0.307284
2021-09-12 13:23:51.353859 : Epoch  9, Batch    881, Loss  0.871363, Average Loss  0.869443, Time  0.240991
2021-09-12 13:23:55.587318 : Epoch  9, Batch    882, Loss  0.874372, Average Loss  0.869445, Time  0.321555
2021-09-12 13:24:00.727738 : Epoch  9, Batch    883, Loss  0.858407, Average Loss  0.869358, Time  0.380172
2021-09-12 13:24:07.168115 : Epoch  9, Batch    884, Loss  0.886379, Average Loss  0.869524, Time  0.288085
2021-09-12 13:24:13.729344 : Epoch  9, Batch    885, Loss  0.874076, Average Loss  0.869652, Time  0.368528
2021-09-12 13:24:18.799978 : Epoch  9, Batch    886, Loss  0.854927, Average Loss  0.869567, Time  0.326810
2021-09-12 13:24:24.964106 : Epoch  9, Batch    887, Loss  0.870813, Average Loss  0.869701, Time  0.398419
2021-09-12 13:24:32.341981 : Epoch  9, Batch    888, Loss  0.864534, Average Loss  0.869756, Time  0.376410
2021-09-12 13:24:39.024944 : Epoch  9, Batch    889, Loss  0.881263, Average Loss  0.869715, Time  0.322575
2021-09-12 13:24:47.453138 : Epoch  9, Batch    890, Loss  0.879664, Average Loss  0.869740, Time  0.238566
2021-09-12 13:24:52.764795 : Epoch  9, Batch    891, Loss  0.861125, Average Loss  0.869773, Time  0.325538
2021-09-12 13:25:00.030782 : Epoch  9, Batch    892, Loss  0.877680, Average Loss  0.869825, Time  0.236573
2021-09-12 13:25:05.399887 : Epoch  9, Batch    893, Loss  0.875877, Average Loss  0.869864, Time  0.322802
2021-09-12 13:25:11.375801 : Epoch  9, Batch    894, Loss  0.867146, Average Loss  0.869987, Time  0.348825
2021-09-12 13:25:17.471328 : Epoch  9, Batch    895, Loss  0.842886, Average Loss  0.869929, Time  0.382192
2021-09-12 13:25:23.808103 : Epoch  9, Batch    896, Loss  0.868599, Average Loss  0.869918, Time  0.285180
2021-09-12 13:25:29.383298 : Epoch  9, Batch    897, Loss  0.872047, Average Loss  0.869773, Time  0.336534
2021-09-12 13:25:35.535357 : Epoch  9, Batch    898, Loss  0.854826, Average Loss  0.869549, Time  0.292638
2021-09-12 13:25:43.280541 : Epoch  9, Batch    899, Loss  0.858561, Average Loss  0.869543, Time  0.363196
2021-09-12 13:25:48.960386 : Epoch  9, Batch    900, Loss  0.848226, Average Loss  0.869399, Time  0.267802
2021-09-12 13:25:51.635748 : Epoch  9, Batch    901, Loss  0.868271, Average Loss  0.869385, Time  0.267283
2021-09-12 13:25:56.355109 : Epoch  9, Batch    902, Loss  0.861143, Average Loss  0.869353, Time  0.349180
2021-09-12 13:26:00.401614 : Epoch  9, Batch    903, Loss  0.876123, Average Loss  0.869384, Time  0.474287
2021-09-12 13:26:04.522319 : Epoch  9, Batch    904, Loss  0.874152, Average Loss  0.869381, Time  0.258782
2021-09-12 13:26:08.859986 : Epoch  9, Batch    905, Loss  0.870354, Average Loss  0.869404, Time  0.299723
2021-09-12 13:26:13.731067 : Epoch  9, Batch    906, Loss  0.884319, Average Loss  0.869508, Time  0.303511
2021-09-12 13:26:18.847815 : Epoch  9, Batch    907, Loss  0.885745, Average Loss  0.869551, Time  0.287213
2021-09-12 13:26:24.529799 : Epoch  9, Batch    908, Loss  0.872822, Average Loss  0.869487, Time  0.282498
2021-09-12 13:26:29.236071 : Epoch  9, Batch    909, Loss  0.854227, Average Loss  0.869441, Time  0.337145
2021-09-12 13:26:33.470822 : Epoch  9, Batch    910, Loss  0.883408, Average Loss  0.869492, Time  0.285729
2021-09-12 13:26:38.427324 : Epoch  9, Batch    911, Loss  0.882568, Average Loss  0.869616, Time  0.468486
2021-09-12 13:26:42.289883 : Epoch  9, Batch    912, Loss  0.855995, Average Loss  0.869617, Time  0.326365
2021-09-12 13:26:48.796174 : Epoch  9, Batch    913, Loss  0.874312, Average Loss  0.869588, Time  0.316606
2021-09-12 13:26:54.991811 : Epoch  9, Batch    914, Loss  0.882456, Average Loss  0.869688, Time  0.320026
2021-09-12 13:27:02.158305 : Epoch  9, Batch    915, Loss  0.862856, Average Loss  0.869640, Time  0.330792
2021-09-12 13:27:05.766822 : Epoch  9, Batch    916, Loss  0.872187, Average Loss  0.869707, Time  0.241996
2021-09-12 13:27:11.134585 : Epoch  9, Batch    917, Loss  0.864472, Average Loss  0.869628, Time  0.240799
2021-09-12 13:27:14.634891 : Epoch  9, Batch    918, Loss  0.874286, Average Loss  0.869701, Time  0.308180
2021-09-12 13:27:20.879211 : Epoch  9, Batch    919, Loss  0.848840, Average Loss  0.869596, Time  0.265452
2021-09-12 13:27:24.142783 : Epoch  9, Batch    920, Loss  0.869775, Average Loss  0.869633, Time  0.244002
2021-09-12 13:27:27.940246 : Epoch  9, Batch    921, Loss  0.850625, Average Loss  0.869523, Time  0.271365
2021-09-12 13:27:32.093536 : Epoch  9, Batch    922, Loss  0.866024, Average Loss  0.869520, Time  0.308286
2021-09-12 13:27:36.985294 : Epoch  9, Batch    923, Loss  0.875433, Average Loss  0.869618, Time  0.325279
2021-09-12 13:27:41.159991 : Epoch  9, Batch    924, Loss  0.880803, Average Loss  0.869681, Time  0.238314
2021-09-12 13:27:45.312222 : Epoch  9, Batch    925, Loss  0.869560, Average Loss  0.869623, Time  0.262727
2021-09-12 13:27:51.287114 : Epoch  9, Batch    926, Loss  0.893095, Average Loss  0.869872, Time  0.236420
2021-09-12 13:27:56.917362 : Epoch  9, Batch    927, Loss  0.900041, Average Loss  0.870034, Time  0.286799
2021-09-12 13:28:02.686050 : Epoch  9, Batch    928, Loss  0.875631, Average Loss  0.870053, Time  0.316514
2021-09-12 13:28:08.547185 : Epoch  9, Batch    929, Loss  0.878433, Average Loss  0.870206, Time  0.312284
2021-09-12 13:28:14.935808 : Epoch  9, Batch    930, Loss  0.842756, Average Loss  0.870133, Time  0.325933
2021-09-12 13:28:23.366359 : Epoch  9, Batch    931, Loss  0.873458, Average Loss  0.870106, Time  0.394721
2021-09-12 13:28:28.446006 : Epoch  9, Batch    932, Loss  0.855873, Average Loss  0.869993, Time  0.311070
2021-09-12 13:28:34.776400 : Epoch  9, Batch    933, Loss  0.869852, Average Loss  0.870003, Time  0.314496
2021-09-12 13:28:38.630889 : Epoch  9, Batch    934, Loss  0.866282, Average Loss  0.870009, Time  0.272392
2021-09-12 13:28:43.203337 : Epoch  9, Batch    935, Loss  0.885425, Average Loss  0.869962, Time  0.296223
2021-09-12 13:28:49.362879 : Epoch  9, Batch    936, Loss  0.877176, Average Loss  0.870076, Time  0.369449
2021-09-12 13:28:57.070346 : Epoch  9, Batch    937, Loss  0.876356, Average Loss  0.870072, Time  0.473281
2021-09-12 13:29:03.006881 : Epoch  9, Batch    938, Loss  0.833120, Average Loss  0.869981, Time  0.373285
2021-09-12 13:29:08.502294 : Epoch  9, Batch    939, Loss  0.855735, Average Loss  0.869926, Time  0.289346
2021-09-12 13:29:13.362065 : Epoch  9, Batch    940, Loss  0.872762, Average Loss  0.869901, Time  0.396034
2021-09-12 13:29:17.154219 : Epoch  9, Batch    941, Loss  0.873330, Average Loss  0.869858, Time  0.236348
2021-09-12 13:29:22.620774 : Epoch  9, Batch    942, Loss  0.864406, Average Loss  0.869811, Time  0.311107
2021-09-12 13:29:30.697325 : Epoch  9, Batch    943, Loss  0.862159, Average Loss  0.869810, Time  0.311174
2021-09-12 13:29:38.027253 : Epoch  9, Batch    944, Loss  0.886070, Average Loss  0.869914, Time  0.322681
2021-09-12 13:29:43.444248 : Epoch  9, Batch    945, Loss  0.882103, Average Loss  0.869991, Time  0.273889
2021-09-12 13:29:48.656124 : Epoch  9, Batch    946, Loss  0.862244, Average Loss  0.869949, Time  0.276155
2021-09-12 13:29:54.664881 : Epoch  9, Batch    947, Loss  0.872232, Average Loss  0.869993, Time  0.343451
2021-09-12 13:29:59.191865 : Epoch  9, Batch    948, Loss  0.861195, Average Loss  0.869981, Time  0.364714
2021-09-12 13:30:04.249869 : Epoch  9, Batch    949, Loss  0.874502, Average Loss  0.869958, Time  0.259157
2021-09-12 13:30:10.913879 : Epoch  9, Batch    950, Loss  0.869302, Average Loss  0.869955, Time  0.378258
2021-09-12 13:30:17.101968 : Epoch  9, Batch    951, Loss  0.861704, Average Loss  0.869869, Time  0.298707
2021-09-12 13:30:23.311796 : Epoch  9, Batch    952, Loss  0.879527, Average Loss  0.869950, Time  0.268895
2021-09-12 13:38:31.982848 : CheckPoint: Validation Loss  0.00030758, Best Loss  0.00029019
2021-09-12 13:38:37.985089 : Epoch  9, Batch    953, Loss  0.876143, Average Loss  0.869977, Time  0.254487
2021-09-12 13:38:44.056867 : Epoch  9, Batch    954, Loss  0.870298, Average Loss  0.869942, Time  0.359686
2021-09-12 13:38:49.213011 : Epoch  9, Batch    955, Loss  0.854413, Average Loss  0.869917, Time  0.305686
2021-09-12 13:38:54.204292 : Epoch  9, Batch    956, Loss  0.867254, Average Loss  0.869997, Time  0.276219
2021-09-12 13:38:58.861966 : Epoch  9, Batch    957, Loss  0.888246, Average Loss  0.870124, Time  0.285727
2021-09-12 13:39:04.113142 : Epoch  9, Batch    958, Loss  0.843990, Average Loss  0.870003, Time  0.295977
2021-09-12 13:39:11.598022 : Epoch  9, Batch    959, Loss  0.879887, Average Loss  0.870102, Time  0.461080
2021-09-12 13:39:16.866002 : Epoch  9, Batch    960, Loss  0.868232, Average Loss  0.870110, Time  0.367731
2021-09-12 13:39:24.135318 : Epoch  9, Batch    961, Loss  0.869702, Average Loss  0.870064, Time  0.406097
2021-09-12 13:39:27.393664 : Epoch  9, Batch    962, Loss  0.875065, Average Loss  0.870102, Time  0.313807
2021-09-12 13:39:34.914091 : Epoch  9, Batch    963, Loss  0.896590, Average Loss  0.870244, Time  0.431756
2021-09-12 13:39:40.717326 : Epoch  9, Batch    964, Loss  0.883268, Average Loss  0.870294, Time  0.386225
2021-09-12 13:39:46.634120 : Epoch  9, Batch    965, Loss  0.862385, Average Loss  0.870268, Time  0.318588
2021-09-12 13:39:50.607088 : Epoch  9, Batch    966, Loss  0.867319, Average Loss  0.870208, Time  0.336498
2021-09-12 13:39:57.451197 : Epoch  9, Batch    967, Loss  0.865862, Average Loss  0.870128, Time  0.314964
2021-09-12 13:40:03.010758 : Epoch  9, Batch    968, Loss  0.857884, Average Loss  0.870044, Time  0.293884
2021-09-12 13:40:06.125444 : Epoch  9, Batch    969, Loss  0.878416, Average Loss  0.870114, Time  0.240131
2021-09-12 13:40:10.295978 : Epoch  9, Batch    970, Loss  0.873998, Average Loss  0.870237, Time  0.236206
2021-09-12 13:40:14.607262 : Epoch  9, Batch    971, Loss  0.872802, Average Loss  0.870169, Time  0.271994
2021-09-12 13:40:19.525481 : Epoch  9, Batch    972, Loss  0.858380, Average Loss  0.870147, Time  0.318984
2021-09-12 13:40:23.696312 : Epoch  9, Batch    973, Loss  0.858435, Average Loss  0.870107, Time  0.300539
2021-09-12 13:40:27.696256 : Epoch  9, Batch    974, Loss  0.876758, Average Loss  0.870188, Time  0.236241
2021-09-12 13:40:34.008816 : Epoch  9, Batch    975, Loss  0.872043, Average Loss  0.870151, Time  0.339226
2021-09-12 13:40:37.629934 : Epoch  9, Batch    976, Loss  0.865522, Average Loss  0.870106, Time  0.317438
2021-09-12 13:40:42.491338 : Epoch  9, Batch    977, Loss  0.876440, Average Loss  0.870139, Time  0.298527
2021-09-12 13:40:49.499163 : Epoch  9, Batch    978, Loss  0.870914, Average Loss  0.870114, Time  0.328207
2021-09-12 13:40:56.380225 : Epoch  9, Batch    979, Loss  0.869833, Average Loss  0.870099, Time  0.261750
2021-09-12 13:41:02.935330 : Epoch  9, Batch    980, Loss  0.842009, Average Loss  0.870039, Time  0.334254
2021-09-12 13:41:06.542976 : Epoch  9, Batch    981, Loss  0.861776, Average Loss  0.870045, Time  0.249259
2021-09-12 13:41:13.534786 : Epoch  9, Batch    982, Loss  0.880163, Average Loss  0.869907, Time  0.266279
2021-09-12 13:41:18.472851 : Epoch  9, Batch    983, Loss  0.855738, Average Loss  0.869948, Time  0.280717
2021-09-12 13:41:22.744462 : Epoch  9, Batch    984, Loss  0.858100, Average Loss  0.869874, Time  0.419115
2021-09-12 13:41:27.438871 : Epoch  9, Batch    985, Loss  0.849750, Average Loss  0.869812, Time  0.290004
2021-09-12 13:41:31.037970 : Epoch  9, Batch    986, Loss  0.871639, Average Loss  0.869772, Time  0.280009
2021-09-12 13:41:37.651751 : Epoch  9, Batch    987, Loss  0.871376, Average Loss  0.869800, Time  0.262389
2021-09-12 13:41:44.715299 : Epoch  9, Batch    988, Loss  0.884800, Average Loss  0.869944, Time  0.324402
2021-09-12 13:41:50.146822 : Epoch  9, Batch    989, Loss  0.882089, Average Loss  0.870038, Time  0.255742
2021-09-12 13:41:55.125831 : Epoch  9, Batch    990, Loss  0.878034, Average Loss  0.870123, Time  0.316540
2021-09-12 13:42:01.247133 : Epoch  9, Batch    991, Loss  0.852241, Average Loss  0.869947, Time  0.394202
2021-09-12 13:42:08.563769 : Epoch  9, Batch    992, Loss  0.861387, Average Loss  0.869999, Time  0.355503
2021-09-12 13:42:15.225157 : Epoch  9, Batch    993, Loss  0.852992, Average Loss  0.869959, Time  0.330756
2021-09-12 13:42:19.344553 : Epoch  9, Batch    994, Loss  0.874557, Average Loss  0.869997, Time  0.308214
2021-09-12 13:42:27.346398 : Epoch  9, Batch    995, Loss  0.867462, Average Loss  0.870038, Time  0.327791
2021-09-12 13:42:33.808298 : Epoch  9, Batch    996, Loss  0.877225, Average Loss  0.870057, Time  0.349963
2021-09-12 13:42:39.057543 : Epoch  9, Batch    997, Loss  0.884974, Average Loss  0.870134, Time  0.268273
2021-09-12 13:42:44.730810 : Epoch  9, Batch    998, Loss  0.882195, Average Loss  0.870222, Time  0.350139
2021-09-12 13:42:50.421517 : Epoch  9, Batch    999, Loss  0.857243, Average Loss  0.870188, Time  0.326381
2021-09-12 13:42:56.392152 : Epoch  9, Batch   1000, Loss  0.886860, Average Loss  0.870360, Time  0.336553
2021-09-12 13:43:03.429848 : Epoch  9, Batch   1001, Loss  0.865101, Average Loss  0.870284, Time  0.288088
2021-09-12 13:43:09.682758 : Epoch  9, Batch   1002, Loss  0.881364, Average Loss  0.870380, Time  0.260692
2021-09-12 13:43:14.892321 : Epoch  9, Batch   1003, Loss  0.863969, Average Loss  0.870364, Time  0.255237
2021-09-12 13:43:18.707889 : Epoch  9, Batch   1004, Loss  0.877710, Average Loss  0.870506, Time  0.263087
2021-09-12 13:43:24.476874 : Epoch  9, Batch   1005, Loss  0.875377, Average Loss  0.870430, Time  0.309846
2021-09-12 13:43:29.974271 : Epoch  9, Batch   1006, Loss  0.858847, Average Loss  0.870306, Time  0.326985
2021-09-12 13:43:36.164970 : Epoch  9, Batch   1007, Loss  0.866873, Average Loss  0.870290, Time  0.291634
2021-09-12 13:43:42.288302 : Epoch  9, Batch   1008, Loss  0.871003, Average Loss  0.870390, Time  0.361847
2021-09-12 13:43:48.359383 : Epoch  9, Batch   1009, Loss  0.875964, Average Loss  0.870486, Time  0.258343
2021-09-12 13:43:55.786966 : Epoch  9, Batch   1010, Loss  0.858384, Average Loss  0.870431, Time  0.352082
2021-09-12 13:44:00.557319 : Epoch  9, Batch   1011, Loss  0.870664, Average Loss  0.870356, Time  0.236057
2021-09-12 13:44:03.547001 : Epoch  9, Batch   1012, Loss  0.890858, Average Loss  0.870413, Time  0.351054
2021-09-12 13:44:07.721241 : Epoch  9, Batch   1013, Loss  0.865600, Average Loss  0.870444, Time  0.246911
2021-09-12 13:44:14.038891 : Epoch  9, Batch   1014, Loss  0.840640, Average Loss  0.870487, Time  0.236736
2021-09-12 13:44:17.460883 : Epoch  9, Batch   1015, Loss  0.876960, Average Loss  0.870573, Time  0.311011
2021-09-12 13:44:21.911399 : Epoch  9, Batch   1016, Loss  0.862955, Average Loss  0.870474, Time  0.300696
2021-09-12 13:44:30.073596 : Epoch  9, Batch   1017, Loss  0.850254, Average Loss  0.870331, Time  0.388000
2021-09-12 13:44:34.749467 : Epoch  9, Batch   1018, Loss  0.880452, Average Loss  0.870383, Time  0.242155
2021-09-12 13:44:40.291847 : Epoch  9, Batch   1019, Loss  0.847379, Average Loss  0.870254, Time  0.293804
2021-09-12 13:44:45.426007 : Epoch  9, Batch   1020, Loss  0.868298, Average Loss  0.870323, Time  0.325994
2021-09-12 13:44:49.263333 : Epoch  9, Batch   1021, Loss  0.885593, Average Loss  0.870384, Time  0.256572
2021-09-12 13:44:57.558981 : Epoch  9, Batch   1022, Loss  0.858853, Average Loss  0.870304, Time  0.306266
2021-09-12 13:45:02.726792 : Epoch  9, Batch   1023, Loss  0.872176, Average Loss  0.870299, Time  0.277151
2021-09-12 13:45:05.958320 : Epoch  9, Batch   1024, Loss  0.869166, Average Loss  0.870300, Time  0.292357
2021-09-12 13:45:11.195827 : Epoch  9, Batch   1025, Loss  0.853045, Average Loss  0.870220, Time  0.259072
2021-09-12 13:45:17.100274 : Epoch  9, Batch   1026, Loss  0.878961, Average Loss  0.870218, Time  0.317685
2021-09-12 13:45:24.145832 : Epoch  9, Batch   1027, Loss  0.877871, Average Loss  0.870280, Time  0.423998
2021-09-12 13:45:31.050063 : Epoch  9, Batch   1028, Loss  0.850359, Average Loss  0.870162, Time  0.271168
2021-09-12 13:45:34.432280 : Epoch  9, Batch   1029, Loss  0.835740, Average Loss  0.869965, Time  0.272130
2021-09-12 13:45:38.424074 : Epoch  9, Batch   1030, Loss  0.876193, Average Loss  0.870013, Time  0.257324
2021-09-12 13:45:44.834301 : Epoch  9, Batch   1031, Loss  0.865160, Average Loss  0.869871, Time  0.293484
2021-09-12 13:45:50.728863 : Epoch  9, Batch   1032, Loss  0.859708, Average Loss  0.869807, Time  0.236958
2021-09-12 13:45:54.769291 : Epoch  9, Batch   1033, Loss  0.851228, Average Loss  0.869800, Time  0.305632
2021-09-12 13:45:58.518469 : Epoch  9, Batch   1034, Loss  0.854905, Average Loss  0.869737, Time  0.254967
2021-09-12 13:46:03.972987 : Epoch  9, Batch   1035, Loss  0.871652, Average Loss  0.869666, Time  0.330604
2021-09-12 13:46:09.498335 : Epoch  9, Batch   1036, Loss  0.871349, Average Loss  0.869596, Time  0.354605
2021-09-12 13:46:13.291004 : Epoch  9, Batch   1037, Loss  0.870409, Average Loss  0.869644, Time  0.292868
2021-09-12 13:46:20.134249 : Epoch  9, Batch   1038, Loss  0.873417, Average Loss  0.869636, Time  0.359472
2021-09-12 13:46:24.929769 : Epoch  9, Batch   1039, Loss  0.883781, Average Loss  0.869728, Time  0.314523
2021-09-12 13:46:28.862855 : Epoch  9, Batch   1040, Loss  0.865690, Average Loss  0.869648, Time  0.337423
2021-09-12 13:46:34.387260 : Epoch  9, Batch   1041, Loss  0.870483, Average Loss  0.869756, Time  0.276873
2021-09-12 13:46:42.225040 : Epoch  9, Batch   1042, Loss  0.861682, Average Loss  0.869713, Time  0.354153
2021-09-12 13:46:47.610375 : Epoch  9, Batch   1043, Loss  0.871612, Average Loss  0.869798, Time  0.313167
2021-09-12 13:46:52.995785 : Epoch  9, Batch   1044, Loss  0.863387, Average Loss  0.869715, Time  0.310678
2021-09-12 13:46:59.951133 : Epoch  9, Batch   1045, Loss  0.861741, Average Loss  0.869660, Time  0.282683
2021-09-12 13:47:09.216783 : Epoch  9, Batch   1046, Loss  0.876171, Average Loss  0.869667, Time  0.329641
2021-09-12 13:47:17.010973 : Epoch  9, Batch   1047, Loss  0.855550, Average Loss  0.869670, Time  0.255550
2021-09-12 13:47:23.776532 : Epoch  9, Batch   1048, Loss  0.860302, Average Loss  0.869654, Time  0.430912
2021-09-12 13:47:30.429011 : Epoch  9, Batch   1049, Loss  0.889607, Average Loss  0.869595, Time  0.280898
2021-09-12 13:47:35.750552 : Epoch  9, Batch   1050, Loss  0.878313, Average Loss  0.869627, Time  0.358253
2021-09-12 13:47:40.486277 : Epoch  9, Batch   1051, Loss  0.854783, Average Loss  0.869516, Time  0.381790
2021-09-12 13:47:45.432483 : Epoch  9, Batch   1052, Loss  0.867704, Average Loss  0.869525, Time  0.270019
2021-09-12 13:56:16.170715 : CheckPoint: Validation Loss  0.00029570, Best Loss  0.00029019
2021-09-12 13:56:23.317146 : Epoch  9, Batch   1053, Loss  0.859850, Average Loss  0.869551, Time  0.347731
2021-09-12 13:56:28.211292 : Epoch  9, Batch   1054, Loss  0.868803, Average Loss  0.869589, Time  0.282204
2021-09-12 13:56:33.861791 : Epoch  9, Batch   1055, Loss  0.863925, Average Loss  0.869605, Time  0.315821
2021-09-12 13:56:38.671450 : Epoch  9, Batch   1056, Loss  0.858447, Average Loss  0.869449, Time  0.320549
2021-09-12 13:56:44.209934 : Epoch  9, Batch   1057, Loss  0.875905, Average Loss  0.869598, Time  0.279358
2021-09-12 13:56:50.463543 : Epoch  9, Batch   1058, Loss  0.859787, Average Loss  0.869588, Time  0.302809
2021-09-12 13:56:55.226043 : Epoch  9, Batch   1059, Loss  0.884394, Average Loss  0.869565, Time  0.278648
2021-09-12 13:57:03.357965 : Epoch  9, Batch   1060, Loss  0.858760, Average Loss  0.869486, Time  0.353138
2021-09-12 13:57:08.560773 : Epoch  9, Batch   1061, Loss  0.861063, Average Loss  0.869393, Time  0.273918
2021-09-12 13:57:13.946791 : Epoch  9, Batch   1062, Loss  0.862970, Average Loss  0.869294, Time  0.286417
2021-09-12 13:57:22.024883 : Epoch  9, Batch   1063, Loss  0.851644, Average Loss  0.869169, Time  0.302196
2021-09-12 13:57:27.706886 : Epoch  9, Batch   1064, Loss  0.875791, Average Loss  0.869172, Time  0.334729
2021-09-12 13:57:30.851366 : Epoch  9, Batch   1065, Loss  0.882697, Average Loss  0.869309, Time  0.272861
2021-09-12 13:57:35.615379 : Epoch  9, Batch   1066, Loss  0.850454, Average Loss  0.869231, Time  0.267391
2021-09-12 13:57:40.800313 : Epoch  9, Batch   1067, Loss  0.848702, Average Loss  0.869137, Time  0.301240
2021-09-12 13:57:44.518116 : Epoch  9, Batch   1068, Loss  0.858962, Average Loss  0.869004, Time  0.362984
2021-09-12 13:57:49.613403 : Epoch  9, Batch   1069, Loss  0.859593, Average Loss  0.868814, Time  0.239861
2021-09-12 13:57:57.199325 : Epoch  9, Batch   1070, Loss  0.872826, Average Loss  0.868727, Time  0.335782
2021-09-12 13:58:01.831261 : Epoch  9, Batch   1071, Loss  0.860979, Average Loss  0.868670, Time  0.248878
2021-09-12 13:58:07.125984 : Epoch  9, Batch   1072, Loss  0.862859, Average Loss  0.868634, Time  0.323061
2021-09-12 13:58:12.588333 : Epoch  9, Batch   1073, Loss  0.865139, Average Loss  0.868511, Time  0.236825
2021-09-12 13:58:18.592998 : Epoch  9, Batch   1074, Loss  0.870579, Average Loss  0.868529, Time  0.360629
2021-09-12 13:58:23.587032 : Epoch  9, Batch   1075, Loss  0.891946, Average Loss  0.868666, Time  0.338366
2021-09-12 13:58:32.364346 : Epoch  9, Batch   1076, Loss  0.854372, Average Loss  0.868516, Time  0.424685
2021-09-12 13:58:38.687498 : Epoch  9, Batch   1077, Loss  0.883839, Average Loss  0.868631, Time  0.458906
2021-09-12 13:58:43.937659 : Epoch  9, Batch   1078, Loss  0.856835, Average Loss  0.868483, Time  0.329031
2021-09-12 13:58:47.944884 : Epoch  9, Batch   1079, Loss  0.874143, Average Loss  0.868342, Time  0.269995
2021-09-12 13:58:55.066030 : Epoch  9, Batch   1080, Loss  0.850215, Average Loss  0.868259, Time  0.406241
2021-09-12 13:59:02.219965 : Epoch  9, Batch   1081, Loss  0.859615, Average Loss  0.868200, Time  0.316419
2021-09-12 13:59:06.300589 : Epoch  9, Batch   1082, Loss  0.866704, Average Loss  0.868161, Time  0.306632
2021-09-12 13:59:12.711058 : Epoch  9, Batch   1083, Loss  0.867139, Average Loss  0.868205, Time  0.329309
2021-09-12 13:59:17.928962 : Epoch  9, Batch   1084, Loss  0.857104, Average Loss  0.868059, Time  0.357304
2021-09-12 13:59:24.405428 : Epoch  9, Batch   1085, Loss  0.860661, Average Loss  0.867992, Time  0.412956
2021-09-12 13:59:30.743949 : Epoch  9, Batch   1086, Loss  0.847716, Average Loss  0.867956, Time  0.268136
2021-09-12 13:59:34.018315 : Epoch  9, Batch   1087, Loss  0.882789, Average Loss  0.868016, Time  0.288476
2021-09-12 13:59:40.656323 : Epoch  9, Batch   1088, Loss  0.857233, Average Loss  0.867979, Time  0.324899
2021-09-12 13:59:48.413890 : Epoch  9, Batch   1089, Loss  0.873640, Average Loss  0.867941, Time  0.443003
2021-09-12 13:59:54.035910 : Epoch  9, Batch   1090, Loss  0.879569, Average Loss  0.867940, Time  0.365409
2021-09-12 13:59:59.008277 : Epoch  9, Batch   1091, Loss  0.868785, Average Loss  0.867979, Time  0.237814
2021-09-12 14:00:07.141873 : Epoch  9, Batch   1092, Loss  0.851979, Average Loss  0.867850, Time  0.407776
2021-09-12 14:00:14.043324 : Epoch  9, Batch   1093, Loss  0.869657, Average Loss  0.867819, Time  0.334527
2021-09-12 14:00:17.985120 : Epoch  9, Batch   1094, Loss  0.880933, Average Loss  0.867888, Time  0.345881
2021-09-12 14:00:24.137325 : Epoch  9, Batch   1095, Loss  0.867231, Average Loss  0.868010, Time  0.413180
2021-09-12 14:00:28.480328 : Epoch  9, Batch   1096, Loss  0.858656, Average Loss  0.867960, Time  0.244406
2021-09-12 14:00:35.222933 : Epoch  9, Batch   1097, Loss  0.853165, Average Loss  0.867866, Time  0.369724
2021-09-12 14:00:41.666952 : Epoch  9, Batch   1098, Loss  0.865763, Average Loss  0.867920, Time  0.367638
2021-09-12 14:00:47.033008 : Epoch  9, Batch   1099, Loss  0.857887, Average Loss  0.867917, Time  0.251098
2021-09-12 14:00:52.532390 : Epoch  9, Batch   1100, Loss  0.847480, Average Loss  0.867913, Time  0.311304
2021-09-12 14:00:58.031256 : Epoch  9, Batch   1101, Loss  0.873632, Average Loss  0.867940, Time  0.273156
2021-09-12 14:01:01.752455 : Epoch  9, Batch   1102, Loss  0.864927, Average Loss  0.867959, Time  0.282524
2021-09-12 14:01:07.252218 : Epoch  9, Batch   1103, Loss  0.861578, Average Loss  0.867886, Time  0.283136
2021-09-12 14:01:11.958910 : Epoch  9, Batch   1104, Loss  0.860249, Average Loss  0.867817, Time  0.335140
2021-09-12 14:01:16.570255 : Epoch  9, Batch   1105, Loss  0.892627, Average Loss  0.867928, Time  0.266486
2021-09-12 14:01:19.865840 : Epoch  9, Batch   1106, Loss  0.865364, Average Loss  0.867833, Time  0.271307
2021-09-12 14:01:24.404352 : Epoch  9, Batch   1107, Loss  0.875597, Average Loss  0.867783, Time  0.298445
2021-09-12 14:01:28.961837 : Epoch  9, Batch   1108, Loss  0.865083, Average Loss  0.867744, Time  0.280460
2021-09-12 14:01:34.419255 : Epoch  9, Batch   1109, Loss  0.857580, Average Loss  0.867761, Time  0.279761
2021-09-12 14:01:37.487861 : Epoch  9, Batch   1110, Loss  0.871024, Average Loss  0.867699, Time  0.274922
2021-09-12 14:01:42.582988 : Epoch  9, Batch   1111, Loss  0.869837, Average Loss  0.867635, Time  0.314834
2021-09-12 14:01:48.432850 : Epoch  9, Batch   1112, Loss  0.846205, Average Loss  0.867586, Time  0.330084
2021-09-12 14:01:53.849487 : Epoch  9, Batch   1113, Loss  0.883819, Average Loss  0.867634, Time  0.300588
2021-09-12 14:01:59.520480 : Epoch  9, Batch   1114, Loss  0.858003, Average Loss  0.867511, Time  0.323671
2021-09-12 14:02:05.539218 : Epoch  9, Batch   1115, Loss  0.872502, Average Loss  0.867560, Time  0.259944
2021-09-12 14:02:09.882781 : Epoch  9, Batch   1116, Loss  0.865078, Average Loss  0.867524, Time  0.352178
2021-09-12 14:02:14.210384 : Epoch  9, Batch   1117, Loss  0.877110, Average Loss  0.867587, Time  0.275702
2021-09-12 14:02:18.538825 : Epoch  9, Batch   1118, Loss  0.865438, Average Loss  0.867543, Time  0.317051
2021-09-12 14:02:22.076315 : Epoch  9, Batch   1119, Loss  0.858142, Average Loss  0.867590, Time  0.295028
2021-09-12 14:02:29.926846 : Epoch  9, Batch   1120, Loss  0.854474, Average Loss  0.867513, Time  0.326267
2021-09-12 14:02:34.306303 : Epoch  9, Batch   1121, Loss  0.868067, Average Loss  0.867600, Time  0.368076
2021-09-12 14:02:40.314037 : Epoch  9, Batch   1122, Loss  0.853945, Average Loss  0.867540, Time  0.347284
2021-09-12 14:02:45.068860 : Epoch  9, Batch   1123, Loss  0.876871, Average Loss  0.867547, Time  0.397954
2021-09-12 14:02:49.655351 : Epoch  9, Batch   1124, Loss  0.855617, Average Loss  0.867421, Time  0.275493
2021-09-12 14:02:54.824300 : Epoch  9, Batch   1125, Loss  0.860475, Average Loss  0.867376, Time  0.286743
2021-09-12 14:03:01.013506 : Epoch  9, Batch   1126, Loss  0.860523, Average Loss  0.867213, Time  0.391067
2021-09-12 14:03:07.336173 : Epoch  9, Batch   1127, Loss  0.897447, Average Loss  0.867200, Time  0.253808
2021-09-12 14:03:13.675243 : Epoch  9, Batch   1128, Loss  0.865710, Average Loss  0.867150, Time  0.354863
2021-09-12 14:03:18.976214 : Epoch  9, Batch   1129, Loss  0.893471, Average Loss  0.867225, Time  0.274314
2021-09-12 14:03:24.817869 : Epoch  9, Batch   1130, Loss  0.874736, Average Loss  0.867385, Time  0.256206
2021-09-12 14:03:30.612035 : Epoch  9, Batch   1131, Loss  0.854297, Average Loss  0.867290, Time  0.372579
2021-09-12 14:03:35.037195 : Epoch  9, Batch   1132, Loss  0.860527, Average Loss  0.867313, Time  0.275933
2021-09-12 14:03:40.657269 : Epoch  9, Batch   1133, Loss  0.860371, Average Loss  0.867265, Time  0.259720
2021-09-12 14:03:44.039923 : Epoch  9, Batch   1134, Loss  0.877952, Average Loss  0.867324, Time  0.284633
2021-09-12 14:03:49.858183 : Epoch  9, Batch   1135, Loss  0.849658, Average Loss  0.867145, Time  0.236382
2021-09-12 14:03:54.062271 : Epoch  9, Batch   1136, Loss  0.846809, Average Loss  0.866993, Time  0.244889
2021-09-12 14:03:57.510410 : Epoch  9, Batch   1137, Loss  0.886957, Average Loss  0.867046, Time  0.252737
2021-09-12 14:04:02.062291 : Epoch  9, Batch   1138, Loss  0.867377, Average Loss  0.867217, Time  0.323197
2021-09-12 14:04:08.292260 : Epoch  9, Batch   1139, Loss  0.884998, Average Loss  0.867364, Time  0.261506
2021-09-12 14:04:13.064753 : Epoch  9, Batch   1140, Loss  0.847793, Average Loss  0.867239, Time  0.262031
2021-09-12 14:04:16.980817 : Epoch  9, Batch   1141, Loss  0.860413, Average Loss  0.867174, Time  0.285004
2021-09-12 14:04:24.482504 : Epoch  9, Batch   1142, Loss  0.883287, Average Loss  0.867269, Time  0.331229
2021-09-12 14:04:28.687403 : Epoch  9, Batch   1143, Loss  0.866808, Average Loss  0.867292, Time  0.305447
2021-09-12 14:04:34.165356 : Epoch  9, Batch   1144, Loss  0.879077, Average Loss  0.867257, Time  0.272120
2021-09-12 14:04:38.350558 : Epoch  9, Batch   1145, Loss  0.865413, Average Loss  0.867173, Time  0.382550
2021-09-12 14:04:43.214303 : Epoch  9, Batch   1146, Loss  0.867930, Average Loss  0.867202, Time  0.284110
2021-09-12 14:04:50.026292 : Epoch  9, Batch   1147, Loss  0.890322, Average Loss  0.867292, Time  0.339171
2021-09-12 14:04:53.279044 : Epoch  9, Batch   1148, Loss  0.869546, Average Loss  0.867334, Time  0.264440
2021-09-12 14:04:59.054985 : Epoch  9, Batch   1149, Loss  0.876539, Average Loss  0.867344, Time  0.320816
2021-09-12 14:05:05.309982 : Epoch  9, Batch   1150, Loss  0.866798, Average Loss  0.867332, Time  0.236259
2021-09-12 14:05:10.721468 : Epoch  9, Batch   1151, Loss  0.878339, Average Loss  0.867415, Time  0.252731
2021-09-12 14:05:25.840260 : Epoch  9, Batch   1152, Loss  0.851900, Average Loss  0.867277, Time  0.255847
2021-09-12 14:13:27.600735 : CheckPoint: Validation Loss  0.00030604, Best Loss  0.00029019
2021-09-12 14:13:32.921182 : Epoch  9, Batch   1153, Loss  0.877451, Average Loss  0.867283, Time  0.302924
2021-09-12 14:13:38.412854 : Epoch  9, Batch   1154, Loss  0.861243, Average Loss  0.867238, Time  0.298781
2021-09-12 14:13:42.739797 : Epoch  9, Batch   1155, Loss  0.866075, Average Loss  0.867296, Time  0.261182
2021-09-12 14:13:46.311261 : Epoch  9, Batch   1156, Loss  0.870388, Average Loss  0.867312, Time  0.240782
2021-09-12 14:13:51.847751 : Epoch  9, Batch   1157, Loss  0.875402, Average Loss  0.867248, Time  0.280710
2021-09-12 14:13:56.442239 : Epoch  9, Batch   1158, Loss  0.863958, Average Loss  0.867348, Time  0.307776
2021-09-12 14:14:01.711823 : Epoch  9, Batch   1159, Loss  0.876976, Average Loss  0.867333, Time  0.327839
2021-09-12 14:14:05.917986 : Epoch  9, Batch   1160, Loss  0.875630, Average Loss  0.867370, Time  0.242340
2021-09-12 14:14:09.632867 : Epoch  9, Batch   1161, Loss  0.859112, Average Loss  0.867317, Time  0.256505
2021-09-12 14:14:14.212772 : Epoch  9, Batch   1162, Loss  0.899518, Average Loss  0.867439, Time  0.262715
2021-09-12 14:14:18.190808 : Epoch  9, Batch   1163, Loss  0.851394, Average Loss  0.867213, Time  0.322363
2021-09-12 14:14:22.170267 : Epoch  9, Batch   1164, Loss  0.873098, Average Loss  0.867163, Time  0.304517
2021-09-12 14:14:28.457584 : Epoch  9, Batch   1165, Loss  0.864492, Average Loss  0.867173, Time  0.346747
2021-09-12 14:14:32.833021 : Epoch  9, Batch   1166, Loss  0.861763, Average Loss  0.867145, Time  0.349509
2021-09-12 14:14:37.420987 : Epoch  9, Batch   1167, Loss  0.878067, Average Loss  0.867206, Time  0.288380
2021-09-12 14:14:41.041338 : Epoch  9, Batch   1168, Loss  0.851397, Average Loss  0.867174, Time  0.295887
2021-09-12 14:14:47.803962 : Epoch  9, Batch   1169, Loss  0.851726, Average Loss  0.867040, Time  0.407006
2021-09-12 14:14:51.317976 : Epoch  9, Batch   1170, Loss  0.887558, Average Loss  0.867108, Time  0.240506
2021-09-12 14:14:56.958051 : Epoch  9, Batch   1171, Loss  0.854454, Average Loss  0.867017, Time  0.327696
2021-09-12 14:15:03.440803 : Epoch  9, Batch   1172, Loss  0.856593, Average Loss  0.867008, Time  0.441146
2021-09-12 14:15:10.433958 : Epoch  9, Batch   1173, Loss  0.850512, Average Loss  0.866968, Time  0.314806
2021-09-12 14:15:16.486281 : Epoch  9, Batch   1174, Loss  0.845794, Average Loss  0.866813, Time  0.276363
2021-09-12 14:15:21.962859 : Epoch  9, Batch   1175, Loss  0.847997, Average Loss  0.866693, Time  0.331174
2021-09-12 14:15:27.524765 : Epoch  9, Batch   1176, Loss  0.890761, Average Loss  0.866819, Time  0.301454
2021-09-12 14:15:31.207071 : Epoch  9, Batch   1177, Loss  0.862130, Average Loss  0.866748, Time  0.281557
2021-09-12 14:15:37.580840 : Epoch  9, Batch   1178, Loss  0.861808, Average Loss  0.866702, Time  0.408707
2021-09-12 14:15:43.909879 : Epoch  9, Batch   1179, Loss  0.864889, Average Loss  0.866677, Time  0.387376
2021-09-12 14:15:47.082968 : Epoch  9, Batch   1180, Loss  0.894384, Average Loss  0.866939, Time  0.282252
2021-09-12 14:15:51.589309 : Epoch  9, Batch   1181, Loss  0.886204, Average Loss  0.867061, Time  0.317383
2021-09-12 14:15:56.795944 : Epoch  9, Batch   1182, Loss  0.873514, Average Loss  0.867028, Time  0.324034
2021-09-12 14:16:02.505029 : Epoch  9, Batch   1183, Loss  0.873306, Average Loss  0.867116, Time  0.251076
2021-09-12 14:16:05.419145 : Epoch  9, Batch   1184, Loss  0.865866, Average Loss  0.867155, Time  0.327754
2021-09-12 14:16:11.237453 : Epoch  9, Batch   1185, Loss  0.858334, Average Loss  0.867198, Time  0.273191
2021-09-12 14:16:16.103831 : Epoch  9, Batch   1186, Loss  0.864665, Average Loss  0.867163, Time  0.297818
2021-09-12 14:16:21.532111 : Epoch  9, Batch   1187, Loss  0.860409, Average Loss  0.867108, Time  0.460542
2021-09-12 14:16:24.539186 : Epoch  9, Batch   1188, Loss  0.867176, Average Loss  0.867020, Time  0.279449
2021-09-12 14:16:29.242755 : Epoch  9, Batch   1189, Loss  0.858918, Average Loss  0.866904, Time  0.279023
2021-09-12 14:16:33.019345 : Epoch  9, Batch   1190, Loss  0.857935, Average Loss  0.866804, Time  0.356918
2021-09-12 14:16:39.061267 : Epoch  9, Batch   1191, Loss  0.863122, Average Loss  0.866858, Time  0.350368
2021-09-12 14:16:43.202389 : Epoch  9, Batch   1192, Loss  0.877044, Average Loss  0.866936, Time  0.305087
2021-09-12 14:16:49.184139 : Epoch  9, Batch   1193, Loss  0.852557, Average Loss  0.866934, Time  0.282832
2021-09-12 14:16:53.766146 : Epoch  9, Batch   1194, Loss  0.889357, Average Loss  0.867008, Time  0.249968
2021-09-12 14:16:59.129435 : Epoch  9, Batch   1195, Loss  0.872362, Average Loss  0.867033, Time  0.253845
2021-09-12 14:17:04.385922 : Epoch  9, Batch   1196, Loss  0.866541, Average Loss  0.866979, Time  0.305935
2021-09-12 14:17:11.024009 : Epoch  9, Batch   1197, Loss  0.877085, Average Loss  0.866940, Time  0.368893
2021-09-12 14:17:16.660057 : Epoch  9, Batch   1198, Loss  0.860711, Average Loss  0.866832, Time  0.300197
2021-09-12 14:17:21.738801 : Epoch  9, Batch   1199, Loss  0.856846, Average Loss  0.866830, Time  0.295053
2021-09-12 14:17:26.674260 : Epoch  9, Batch   1200, Loss  0.904235, Average Loss  0.866917, Time  0.294672
2021-09-12 14:17:33.822271 : Epoch  9, Batch   1201, Loss  0.859811, Average Loss  0.866891, Time  0.279067
2021-09-12 14:17:40.924964 : Epoch  9, Batch   1202, Loss  0.866390, Average Loss  0.866816, Time  0.489895
2021-09-12 14:17:45.363313 : Epoch  9, Batch   1203, Loss  0.879597, Average Loss  0.866894, Time  0.347511
2021-09-12 14:17:53.197826 : Epoch  9, Batch   1204, Loss  0.847288, Average Loss  0.866742, Time  0.416451
2021-09-12 14:18:00.226844 : Epoch  9, Batch   1205, Loss  0.880865, Average Loss  0.866769, Time  0.380567
2021-09-12 14:18:03.708990 : Epoch  9, Batch   1206, Loss  0.862570, Average Loss  0.866788, Time  0.303721
2021-09-12 14:18:09.984860 : Epoch  9, Batch   1207, Loss  0.872514, Average Loss  0.866816, Time  0.322701
2021-09-12 14:18:17.434477 : Epoch  9, Batch   1208, Loss  0.854159, Average Loss  0.866732, Time  0.318006
2021-09-12 14:18:24.506358 : Epoch  9, Batch   1209, Loss  0.878446, Average Loss  0.866744, Time  0.318255
2021-09-12 14:18:27.691170 : Epoch  9, Batch   1210, Loss  0.878916, Average Loss  0.866847, Time  0.260342
2021-09-12 14:18:33.994926 : Epoch  9, Batch   1211, Loss  0.856819, Average Loss  0.866778, Time  0.329680
2021-09-12 14:18:39.726310 : Epoch  9, Batch   1212, Loss  0.851944, Average Loss  0.866583, Time  0.310820
2021-09-12 14:18:46.384068 : Epoch  9, Batch   1213, Loss  0.858464, Average Loss  0.866547, Time  0.323387
2021-09-12 14:18:50.201393 : Epoch  9, Batch   1214, Loss  0.862929, Average Loss  0.866659, Time  0.239468
2021-09-12 14:18:55.187112 : Epoch  9, Batch   1215, Loss  0.874844, Average Loss  0.866648, Time  0.317254
2021-09-12 14:18:59.189518 : Epoch  9, Batch   1216, Loss  0.873748, Average Loss  0.866702, Time  0.289712
2021-09-12 14:19:03.842795 : Epoch  9, Batch   1217, Loss  0.883274, Average Loss  0.866867, Time  0.253422
2021-09-12 14:19:06.519827 : Epoch  9, Batch   1218, Loss  0.878892, Average Loss  0.866860, Time  0.316892
2021-09-12 14:19:11.143829 : Epoch  9, Batch   1219, Loss  0.856397, Average Loss  0.866905, Time  0.250748
2021-09-12 14:19:14.836981 : Epoch  9, Batch   1220, Loss  0.862693, Average Loss  0.866877, Time  0.247125
2021-09-12 14:19:18.367971 : Epoch  9, Batch   1221, Loss  0.880125, Average Loss  0.866849, Time  0.312431
2021-09-12 14:19:22.770276 : Epoch  9, Batch   1222, Loss  0.870451, Average Loss  0.866907, Time  0.264433
2021-09-12 14:19:27.789862 : Epoch  9, Batch   1223, Loss  0.869663, Average Loss  0.866895, Time  0.386646
2021-09-12 14:19:32.042131 : Epoch  9, Batch   1224, Loss  0.870325, Average Loss  0.866901, Time  0.322522
2021-09-12 14:19:37.280417 : Epoch  9, Batch   1225, Loss  0.857840, Average Loss  0.866925, Time  0.315390
2021-09-12 14:19:40.597393 : Epoch  9, Batch   1226, Loss  0.844292, Average Loss  0.866751, Time  0.274603
2021-09-12 14:19:44.745277 : Epoch  9, Batch   1227, Loss  0.859682, Average Loss  0.866660, Time  0.236233
2021-09-12 14:19:47.700265 : Epoch  9, Batch   1228, Loss  0.863821, Average Loss  0.866728, Time  0.280992
2021-09-12 14:19:52.218117 : Epoch  9, Batch   1229, Loss  0.872273, Average Loss  0.866910, Time  0.269611
2021-09-12 14:19:55.666817 : Epoch  9, Batch   1230, Loss  0.876240, Average Loss  0.866910, Time  0.283154
2021-09-12 14:20:02.024237 : Epoch  9, Batch   1231, Loss  0.874139, Average Loss  0.866955, Time  0.311912
2021-09-12 14:20:07.048384 : Epoch  9, Batch   1232, Loss  0.862722, Average Loss  0.866970, Time  0.321706
2021-09-12 14:20:11.746237 : Epoch  9, Batch   1233, Loss  0.876545, Average Loss  0.867097, Time  0.303231
2021-09-12 14:20:17.165263 : Epoch  9, Batch   1234, Loss  0.888080, Average Loss  0.867263, Time  0.274065
2021-09-12 14:20:24.018813 : Epoch  9, Batch   1235, Loss  0.884519, Average Loss  0.867327, Time  0.364492
2021-09-12 14:20:30.452726 : Epoch  9, Batch   1236, Loss  0.869273, Average Loss  0.867317, Time  0.326562
2021-09-12 14:20:36.414984 : Epoch  9, Batch   1237, Loss  0.860640, Average Loss  0.867268, Time  0.280695
2021-09-12 14:20:42.094991 : Epoch  9, Batch   1238, Loss  0.866555, Average Loss  0.867234, Time  0.307873
2021-09-12 14:20:45.728734 : Epoch  9, Batch   1239, Loss  0.867144, Average Loss  0.867150, Time  0.265138
2021-09-12 14:20:51.261257 : Epoch  9, Batch   1240, Loss  0.876680, Average Loss  0.867205, Time  0.281713
2021-09-12 14:20:54.783432 : Epoch  9, Batch   1241, Loss  0.871977, Average Loss  0.867213, Time  0.347084
2021-09-12 14:21:00.648166 : Epoch  9, Batch   1242, Loss  0.876501, Average Loss  0.867287, Time  0.242990
2021-09-12 14:21:04.621247 : Epoch  9, Batch   1243, Loss  0.878369, Average Loss  0.867321, Time  0.275701
2021-09-12 14:21:10.577937 : Epoch  9, Batch   1244, Loss  0.874958, Average Loss  0.867379, Time  0.290099
2021-09-12 14:21:14.426901 : Epoch  9, Batch   1245, Loss  0.862169, Average Loss  0.867381, Time  0.267356
2021-09-12 14:21:19.280227 : Epoch  9, Batch   1246, Loss  0.895221, Average Loss  0.867476, Time  0.279604
2021-09-12 14:21:25.381732 : Epoch  9, Batch   1247, Loss  0.876569, Average Loss  0.867581, Time  0.304682
2021-09-12 14:21:30.862874 : Epoch  9, Batch   1248, Loss  0.875474, Average Loss  0.867657, Time  0.296063
2021-09-12 14:21:35.622873 : Epoch  9, Batch   1249, Loss  0.866827, Average Loss  0.867543, Time  0.300848
2021-09-12 14:21:41.763203 : Epoch  9, Batch   1250, Loss  0.877226, Average Loss  0.867538, Time  0.253236
2021-09-12 14:21:45.763092 : Epoch  9, Batch   1251, Loss  0.853226, Average Loss  0.867530, Time  0.291981
2021-09-12 14:21:51.297789 : Epoch  9, Batch   1252, Loss  0.862884, Average Loss  0.867506, Time  0.275566
2021-09-12 14:30:38.206929 : CheckPoint: Validation Loss  0.00030143, Best Loss  0.00029019
2021-09-12 14:30:41.113050 : Epoch  9, Batch   1253, Loss  0.875154, Average Loss  0.867582, Time  0.323825
2021-09-12 14:30:45.011983 : Epoch  9, Batch   1254, Loss  0.866440, Average Loss  0.867570, Time  0.304995
2021-09-12 14:30:47.760162 : Epoch  9, Batch   1255, Loss  0.882189, Average Loss  0.867662, Time  0.236451
2021-09-12 14:30:52.370345 : Epoch  9, Batch   1256, Loss  0.892549, Average Loss  0.867832, Time  0.368970
2021-09-12 14:30:58.449829 : Epoch  9, Batch   1257, Loss  0.884025, Average Loss  0.867873, Time  0.308763
2021-09-12 14:31:05.151876 : Epoch  9, Batch   1258, Loss  0.871996, Average Loss  0.867934, Time  0.243624
2021-09-12 14:31:12.072401 : Epoch  9, Batch   1259, Loss  0.886598, Average Loss  0.867945, Time  0.345919
2021-09-12 14:31:16.227587 : Epoch  9, Batch   1260, Loss  0.871526, Average Loss  0.868009, Time  0.273928
2021-09-12 14:31:22.969017 : Epoch  9, Batch   1261, Loss  0.870753, Average Loss  0.868057, Time  0.345371
2021-09-12 14:31:29.612963 : Epoch  9, Batch   1262, Loss  0.862849, Average Loss  0.868057, Time  0.302202
2021-09-12 14:31:39.138882 : Epoch  9, Batch   1263, Loss  0.847771, Average Loss  0.868037, Time  0.339915
2021-09-12 14:31:46.733050 : Epoch  9, Batch   1264, Loss  0.871147, Average Loss  0.868014, Time  0.346191
2021-09-12 14:31:51.776802 : Epoch  9, Batch   1265, Loss  0.861603, Average Loss  0.867909, Time  0.270307
2021-09-12 14:31:58.223204 : Epoch  9, Batch   1266, Loss  0.867040, Average Loss  0.867992, Time  0.315467
2021-09-12 14:32:03.524815 : Epoch  9, Batch   1267, Loss  0.852989, Average Loss  0.868013, Time  0.350991
2021-09-12 14:32:09.687810 : Epoch  9, Batch   1268, Loss  0.869930, Average Loss  0.868068, Time  0.290982
2021-09-12 14:32:13.679858 : Epoch  9, Batch   1269, Loss  0.858649, Average Loss  0.868063, Time  0.343156
2021-09-12 14:32:20.382897 : Epoch  9, Batch   1270, Loss  0.873614, Average Loss  0.868067, Time  0.387838
2021-09-12 14:32:25.466109 : Epoch  9, Batch   1271, Loss  0.885730, Average Loss  0.868191, Time  0.292460
2021-09-12 14:32:31.325357 : Epoch  9, Batch   1272, Loss  0.876524, Average Loss  0.868259, Time  0.299803
2021-09-12 14:32:37.906024 : Epoch  9, Batch   1273, Loss  0.847751, Average Loss  0.868172, Time  0.319773
2021-09-12 14:32:44.769461 : Epoch  9, Batch   1274, Loss  0.872239, Average Loss  0.868180, Time  0.444506
2021-09-12 14:32:48.334890 : Epoch  9, Batch   1275, Loss  0.887980, Average Loss  0.868161, Time  0.275314
2021-09-12 14:32:51.706843 : Epoch  9, Batch   1276, Loss  0.871246, Average Loss  0.868245, Time  0.238665
2021-09-12 14:32:55.739969 : Epoch  9, Batch   1277, Loss  0.890024, Average Loss  0.868276, Time  0.305808
2021-09-12 14:33:02.147434 : Epoch  9, Batch   1278, Loss  0.848665, Average Loss  0.868235, Time  0.282531
2021-09-12 14:33:11.586322 : Epoch  9, Batch   1279, Loss  0.874970, Average Loss  0.868239, Time  0.323068
2021-09-12 14:33:18.404939 : Epoch  9, Batch   1280, Loss  0.853436, Average Loss  0.868255, Time  0.341178
2021-09-12 14:33:22.997280 : Epoch  9, Batch   1281, Loss  0.874216, Average Loss  0.868328, Time  0.307768
2021-09-12 14:33:29.074836 : Epoch  9, Batch   1282, Loss  0.868154, Average Loss  0.868336, Time  0.269587
2021-09-12 14:33:33.896343 : Epoch  9, Batch   1283, Loss  0.887654, Average Loss  0.868438, Time  0.243618
2021-09-12 14:33:39.621965 : Epoch  9, Batch   1284, Loss  0.870328, Average Loss  0.868504, Time  0.330626
2021-09-12 14:33:45.262882 : Epoch  9, Batch   1285, Loss  0.862496, Average Loss  0.868513, Time  0.266624
2021-09-12 14:33:48.391108 : Epoch  9, Batch   1286, Loss  0.856477, Average Loss  0.868557, Time  0.274713
2021-09-12 14:33:53.301517 : Epoch  9, Batch   1287, Loss  0.867460, Average Loss  0.868481, Time  0.247304
2021-09-12 14:33:58.822962 : Epoch  9, Batch   1288, Loss  0.867673, Average Loss  0.868533, Time  0.277759
2021-09-12 14:34:02.889173 : Epoch  9, Batch   1289, Loss  0.865405, Average Loss  0.868492, Time  0.236808
2021-09-12 14:34:08.111106 : Epoch  9, Batch   1290, Loss  0.863600, Average Loss  0.868412, Time  0.237520
2021-09-12 14:34:12.991967 : Epoch  9, Batch   1291, Loss  0.873552, Average Loss  0.868436, Time  0.345717
2021-09-12 14:34:16.725878 : Epoch  9, Batch   1292, Loss  0.856664, Average Loss  0.868459, Time  0.337249
2021-09-12 14:34:20.475870 : Epoch  9, Batch   1293, Loss  0.863816, Average Loss  0.868430, Time  0.279204
2021-09-12 14:34:26.024835 : Epoch  9, Batch   1294, Loss  0.887662, Average Loss  0.868463, Time  0.300930
2021-09-12 14:34:30.950265 : Epoch  9, Batch   1295, Loss  0.891795, Average Loss  0.868586, Time  0.236355
2021-09-12 14:34:35.999106 : Epoch  9, Batch   1296, Loss  0.869214, Average Loss  0.868639, Time  0.301449
2021-09-12 14:34:44.244289 : Epoch  9, Batch   1297, Loss  0.856825, Average Loss  0.868657, Time  0.328141
2021-09-12 14:34:51.414803 : Epoch  9, Batch   1298, Loss  0.885397, Average Loss  0.868756, Time  0.296684
2021-09-12 14:34:56.591812 : Epoch  9, Batch   1299, Loss  0.845652, Average Loss  0.868694, Time  0.379908
2021-09-12 14:35:02.143849 : Epoch  9, Batch   1300, Loss  0.867172, Average Loss  0.868793, Time  0.333764
2021-09-12 14:35:09.297125 : Epoch  9, Batch   1301, Loss  0.867054, Average Loss  0.868760, Time  0.280519
2021-09-12 14:35:13.809278 : Epoch  9, Batch   1302, Loss  0.876490, Average Loss  0.868818, Time  0.293358
2021-09-12 14:35:20.584291 : Epoch  9, Batch   1303, Loss  0.854271, Average Loss  0.868781, Time  0.309987
2021-09-12 14:35:26.903976 : Epoch  9, Batch   1304, Loss  0.867423, Average Loss  0.868817, Time  0.423077
2021-09-12 14:35:34.744032 : Epoch  9, Batch   1305, Loss  0.897194, Average Loss  0.868840, Time  0.240216
2021-09-12 14:35:39.885912 : Epoch  9, Batch   1306, Loss  0.882196, Average Loss  0.868924, Time  0.344388
2021-09-12 14:35:44.960816 : Epoch  9, Batch   1307, Loss  0.862683, Average Loss  0.868860, Time  0.324354
2021-09-12 14:35:52.834882 : Epoch  9, Batch   1308, Loss  0.859783, Average Loss  0.868833, Time  0.427104
2021-09-12 14:35:59.561088 : Epoch  9, Batch   1309, Loss  0.848902, Average Loss  0.868790, Time  0.278086
2021-09-12 14:36:05.974040 : Epoch  9, Batch   1310, Loss  0.859934, Average Loss  0.868734, Time  0.236598
2021-09-12 14:36:10.805902 : Epoch  9, Batch   1311, Loss  0.880802, Average Loss  0.868789, Time  0.283141
2021-09-12 14:36:14.704780 : Epoch  9, Batch   1312, Loss  0.878009, Average Loss  0.868948, Time  0.265240
2021-09-12 14:36:18.105286 : Epoch  9, Batch   1313, Loss  0.859276, Average Loss  0.868825, Time  0.245566
2021-09-12 14:36:22.761822 : Epoch  9, Batch   1314, Loss  0.856253, Average Loss  0.868817, Time  0.381941
2021-09-12 14:36:29.448124 : Epoch  9, Batch   1315, Loss  0.879816, Average Loss  0.868853, Time  0.328151
2021-09-12 14:36:34.122862 : Epoch  9, Batch   1316, Loss  0.840489, Average Loss  0.868730, Time  0.310452
2021-09-12 14:36:39.386282 : Epoch  9, Batch   1317, Loss  0.863161, Average Loss  0.868660, Time  0.337898
2021-09-12 14:36:45.244925 : Epoch  9, Batch   1318, Loss  0.865247, Average Loss  0.868660, Time  0.272771
2021-09-12 14:36:50.025877 : Epoch  9, Batch   1319, Loss  0.866675, Average Loss  0.868702, Time  0.277225
2021-09-12 14:36:54.332392 : Epoch  9, Batch   1320, Loss  0.883652, Average Loss  0.868848, Time  0.278101
2021-09-12 14:36:59.484791 : Epoch  9, Batch   1321, Loss  0.856285, Average Loss  0.868789, Time  0.236451
2021-09-12 14:37:05.916746 : Epoch  9, Batch   1322, Loss  0.876202, Average Loss  0.868900, Time  0.311645
2021-09-12 14:37:12.139924 : Epoch  9, Batch   1323, Loss  0.879127, Average Loss  0.868912, Time  0.242521
2021-09-12 14:37:18.057189 : Epoch  9, Batch   1324, Loss  0.855895, Average Loss  0.868913, Time  0.265449
2021-09-12 14:37:23.369332 : Epoch  9, Batch   1325, Loss  0.871098, Average Loss  0.868966, Time  0.347323
2021-09-12 14:37:30.086313 : Epoch  9, Batch   1326, Loss  0.871508, Average Loss  0.869021, Time  0.387993
2021-09-12 14:37:34.989423 : Epoch  9, Batch   1327, Loss  0.872565, Average Loss  0.868897, Time  0.298621
2021-09-12 14:37:40.894269 : Epoch  9, Batch   1328, Loss  0.867263, Average Loss  0.868905, Time  0.305641
2021-09-12 14:37:46.393321 : Epoch  9, Batch   1329, Loss  0.886687, Average Loss  0.868871, Time  0.305193
2021-09-12 14:37:50.601245 : Epoch  9, Batch   1330, Loss  0.882113, Average Loss  0.868907, Time  0.277384
2021-09-12 14:37:58.259803 : Epoch  9, Batch   1331, Loss  0.879921, Average Loss  0.869036, Time  0.326540
2021-09-12 14:38:04.108230 : Epoch  9, Batch   1332, Loss  0.869387, Average Loss  0.869080, Time  0.259621
2021-09-12 14:38:11.246838 : Epoch  9, Batch   1333, Loss  0.859042, Average Loss  0.869073, Time  0.297099
2021-09-12 14:38:17.180321 : Epoch  9, Batch   1334, Loss  0.861695, Average Loss  0.868992, Time  0.438806
2021-09-12 14:38:20.917778 : Epoch  9, Batch   1335, Loss  0.866772, Average Loss  0.869078, Time  0.325338
2021-09-12 14:38:24.992303 : Epoch  9, Batch   1336, Loss  0.852389, Average Loss  0.869105, Time  0.251166
2021-09-12 14:38:29.291243 : Epoch  9, Batch   1337, Loss  0.876768, Average Loss  0.869054, Time  0.347516
2021-09-12 14:38:34.948591 : Epoch  9, Batch   1338, Loss  0.855379, Average Loss  0.868994, Time  0.379769
2021-09-12 14:38:39.510429 : Epoch  9, Batch   1339, Loss  0.848598, Average Loss  0.868812, Time  0.340726
2021-09-12 14:38:46.516309 : Epoch  9, Batch   1340, Loss  0.858845, Average Loss  0.868868, Time  0.286444
2021-09-12 14:38:51.499046 : Epoch  9, Batch   1341, Loss  0.880398, Average Loss  0.868968, Time  0.273383
2021-09-12 14:38:55.587123 : Epoch  9, Batch   1342, Loss  0.881118, Average Loss  0.868957, Time  0.290451
2021-09-12 14:39:00.469458 : Epoch  9, Batch   1343, Loss  0.874444, Average Loss  0.868995, Time  0.296038
2021-09-12 14:39:05.615985 : Epoch  9, Batch   1344, Loss  0.854195, Average Loss  0.868871, Time  0.270599
2021-09-12 14:39:09.594103 : Epoch  9, Batch   1345, Loss  0.877470, Average Loss  0.868931, Time  0.264191
2021-09-12 14:39:15.905930 : Epoch  9, Batch   1346, Loss  0.851993, Average Loss  0.868851, Time  0.269300
2021-09-12 14:39:21.796890 : Epoch  9, Batch   1347, Loss  0.849432, Average Loss  0.868647, Time  0.297306
2021-09-12 14:39:28.202374 : Epoch  9, Batch   1348, Loss  0.840310, Average Loss  0.868501, Time  0.371352
2021-09-12 14:39:33.521356 : Epoch  9, Batch   1349, Loss  0.858497, Average Loss  0.868410, Time  0.295253
2021-09-12 14:39:38.553367 : Epoch  9, Batch   1350, Loss  0.864112, Average Loss  0.868397, Time  0.291333
2021-09-12 14:39:46.236896 : Epoch  9, Batch   1351, Loss  0.867082, Average Loss  0.868341, Time  0.364546
2021-09-12 14:39:50.887291 : Epoch  9, Batch   1352, Loss  0.859186, Average Loss  0.868377, Time  0.336634
2021-09-12 14:51:53.027721 : CheckPoint: Validation Loss  0.00029665, Best Loss  0.00029019
2021-09-12 14:51:59.694497 : Epoch  9, Batch   1353, Loss  0.875929, Average Loss  0.868369, Time  0.300135
2021-09-12 14:52:08.045258 : Epoch  9, Batch   1354, Loss  0.881315, Average Loss  0.868470, Time  0.602236
2021-09-12 14:52:13.283897 : Epoch  9, Batch   1355, Loss  0.861084, Average Loss  0.868445, Time  0.314709
2021-09-12 14:52:21.044752 : Epoch  9, Batch   1356, Loss  0.875383, Average Loss  0.868470, Time  0.585149
2021-09-12 14:52:29.457096 : Epoch  9, Batch   1357, Loss  0.866379, Average Loss  0.868425, Time  0.319291
2021-09-12 14:52:35.914653 : Epoch  9, Batch   1358, Loss  0.851613, Average Loss  0.868363, Time  0.323014
2021-09-12 14:52:39.775017 : Epoch  9, Batch   1359, Loss  0.854062, Average Loss  0.868248, Time  0.299407
2021-09-12 14:52:44.422495 : Epoch  9, Batch   1360, Loss  0.854009, Average Loss  0.868140, Time  0.267647
2021-09-12 14:52:50.913280 : Epoch  9, Batch   1361, Loss  0.855811, Average Loss  0.868124, Time  0.351009
2021-09-12 14:52:57.078497 : Epoch  9, Batch   1362, Loss  0.870135, Average Loss  0.867977, Time  0.276824
2021-09-12 14:53:01.350186 : Epoch  9, Batch   1363, Loss  0.848767, Average Loss  0.867964, Time  0.362082
2021-09-12 14:53:06.902124 : Epoch  9, Batch   1364, Loss  0.870090, Average Loss  0.867949, Time  0.313510
2021-09-12 14:53:15.016816 : Epoch  9, Batch   1365, Loss  0.863470, Average Loss  0.867944, Time  0.300590
2021-09-12 14:53:21.758007 : Epoch  9, Batch   1366, Loss  0.849018, Average Loss  0.867880, Time  0.303080
2021-09-12 14:53:26.813847 : Epoch  9, Batch   1367, Loss  0.857281, Average Loss  0.867776, Time  0.438055
2021-09-12 14:53:33.313291 : Epoch  9, Batch   1368, Loss  0.852070, Average Loss  0.867779, Time  0.257855
2021-09-12 14:53:38.645371 : Epoch  9, Batch   1369, Loss  0.890109, Average Loss  0.867971, Time  0.284856
2021-09-12 14:53:46.336971 : Epoch  9, Batch   1370, Loss  0.863398, Average Loss  0.867850, Time  0.322676
2021-09-12 14:53:53.350413 : Epoch  9, Batch   1371, Loss  0.891207, Average Loss  0.868034, Time  0.368255
2021-09-12 14:53:56.754660 : Epoch  9, Batch   1372, Loss  0.857634, Average Loss  0.868039, Time  0.245681
2021-09-12 14:54:01.597143 : Epoch  9, Batch   1373, Loss  0.859660, Average Loss  0.868085, Time  0.348504
2021-09-12 14:54:08.137801 : Epoch  9, Batch   1374, Loss  0.861112, Average Loss  0.868162, Time  0.264524
2021-09-12 14:54:13.682774 : Epoch  9, Batch   1375, Loss  0.854341, Average Loss  0.868193, Time  0.316328
2021-09-12 14:54:19.996613 : Epoch  9, Batch   1376, Loss  0.878590, Average Loss  0.868133, Time  0.305577
2021-09-12 14:54:25.270882 : Epoch  9, Batch   1377, Loss  0.870347, Average Loss  0.868174, Time  0.389432
2021-09-12 14:54:28.592844 : Epoch  9, Batch   1378, Loss  0.898472, Average Loss  0.868357, Time  0.300777
2021-09-12 14:54:34.166887 : Epoch  9, Batch   1379, Loss  0.874133, Average Loss  0.868403, Time  0.330583
2021-09-12 14:54:41.804786 : Epoch  9, Batch   1380, Loss  0.859964, Average Loss  0.868231, Time  0.381375
2021-09-12 14:54:47.264412 : Epoch  9, Batch   1381, Loss  0.862745, Average Loss  0.868114, Time  0.310800
2021-09-12 14:54:51.289798 : Epoch  9, Batch   1382, Loss  0.867695, Average Loss  0.868085, Time  0.266419
2021-09-12 14:54:59.171583 : Epoch  9, Batch   1383, Loss  0.865867, Average Loss  0.868048, Time  0.440746
2021-09-12 14:55:05.881404 : Epoch  9, Batch   1384, Loss  0.857109, Average Loss  0.868004, Time  0.321034
2021-09-12 14:55:12.208997 : Epoch  9, Batch   1385, Loss  0.870524, Average Loss  0.868065, Time  0.534577
2021-09-12 14:55:19.039665 : Epoch  9, Batch   1386, Loss  0.838037, Average Loss  0.867932, Time  0.430482
2021-09-12 14:55:23.271394 : Epoch  9, Batch   1387, Loss  0.880729, Average Loss  0.868033, Time  0.318902
2021-09-12 14:55:28.751579 : Epoch  9, Batch   1388, Loss  0.848070, Average Loss  0.867938, Time  0.256177
2021-09-12 14:55:33.454103 : Epoch  9, Batch   1389, Loss  0.860784, Average Loss  0.867947, Time  0.297308
2021-09-12 14:55:39.156564 : Epoch  9, Batch   1390, Loss  0.852513, Average Loss  0.867920, Time  0.287559
2021-09-12 14:55:44.783851 : Epoch  9, Batch   1391, Loss  0.859347, Average Loss  0.867901, Time  0.389276
2021-09-12 14:55:48.719405 : Epoch  9, Batch   1392, Loss  0.874478, Average Loss  0.867888, Time  0.404488
2021-09-12 14:55:54.197868 : Epoch  9, Batch   1393, Loss  0.891317, Average Loss  0.868082, Time  0.299637
2021-09-12 14:56:01.557730 : Epoch  9, Batch   1394, Loss  0.860991, Average Loss  0.867940, Time  0.291242
2021-09-12 14:56:07.606873 : Epoch  9, Batch   1395, Loss  0.878077, Average Loss  0.867969, Time  0.284977
2021-09-12 14:56:16.384030 : Epoch  9, Batch   1396, Loss  0.863472, Average Loss  0.867953, Time  0.336290
2021-09-12 14:56:21.106266 : Epoch  9, Batch   1397, Loss  0.872061, Average Loss  0.867928, Time  0.253723
2021-09-12 14:56:24.767994 : Epoch  9, Batch   1398, Loss  0.877271, Average Loss  0.868011, Time  0.269281
2021-09-12 14:56:30.866186 : Epoch  9, Batch   1399, Loss  0.861323, Average Loss  0.868033, Time  0.285780
2021-09-12 14:56:37.914274 : Epoch  9, Batch   1400, Loss  0.854717, Average Loss  0.867786, Time  0.364787
2021-09-12 14:56:45.144948 : Epoch  9, Batch   1401, Loss  0.870894, Average Loss  0.867841, Time  0.434120
2021-09-12 14:56:49.474559 : Epoch  9, Batch   1402, Loss  0.870694, Average Loss  0.867863, Time  0.263338
2021-09-12 14:56:54.076979 : Epoch  9, Batch   1403, Loss  0.861485, Average Loss  0.867772, Time  0.278434
2021-09-12 14:57:00.097155 : Epoch  9, Batch   1404, Loss  0.872174, Average Loss  0.867897, Time  0.282117
2021-09-12 14:57:03.318335 : Epoch  9, Batch   1405, Loss  0.854734, Average Loss  0.867766, Time  0.301374
2021-09-12 14:57:07.626073 : Epoch  9, Batch   1406, Loss  0.869708, Average Loss  0.867802, Time  0.348723
2021-09-12 14:57:14.311607 : Epoch  9, Batch   1407, Loss  0.858109, Average Loss  0.867730, Time  0.374004
2021-09-12 14:57:18.844745 : Epoch  9, Batch   1408, Loss  0.859543, Average Loss  0.867757, Time  0.276848
2021-09-12 14:57:22.876244 : Epoch  9, Batch   1409, Loss  0.869652, Average Loss  0.867713, Time  0.265628
2021-09-12 14:57:28.069780 : Epoch  9, Batch   1410, Loss  0.867897, Average Loss  0.867658, Time  0.284744
2021-09-12 14:57:33.477268 : Epoch  9, Batch   1411, Loss  0.867230, Average Loss  0.867710, Time  0.302091
2021-09-12 14:57:38.036609 : Epoch  9, Batch   1412, Loss  0.862696, Average Loss  0.867763, Time  0.293705
2021-09-12 14:57:41.425805 : Epoch  9, Batch   1413, Loss  0.855767, Average Loss  0.867750, Time  0.254229
2021-09-12 14:57:44.955486 : Epoch  9, Batch   1414, Loss  0.875955, Average Loss  0.867815, Time  0.236744
2021-09-12 14:57:47.775803 : Epoch  9, Batch   1415, Loss  0.844704, Average Loss  0.867664, Time  0.260250
2021-09-12 14:57:51.674762 : Epoch  9, Batch   1416, Loss  0.881396, Average Loss  0.867703, Time  0.311844
2021-09-12 14:57:55.529876 : Epoch  9, Batch   1417, Loss  0.862420, Average Loss  0.867598, Time  0.300635
2021-09-12 14:57:59.158865 : Epoch  9, Batch   1418, Loss  0.870860, Average Loss  0.867558, Time  0.297963
2021-09-12 14:58:03.506786 : Epoch  9, Batch   1419, Loss  0.856769, Average Loss  0.867560, Time  0.308380
2021-09-12 14:58:07.291808 : Epoch  9, Batch   1420, Loss  0.857049, Average Loss  0.867532, Time  0.276940
2021-09-12 14:58:11.528985 : Epoch  9, Batch   1421, Loss  0.870167, Average Loss  0.867482, Time  0.247327
2021-09-12 14:58:17.164243 : Epoch  9, Batch   1422, Loss  0.878030, Average Loss  0.867520, Time  0.305934
2021-09-12 14:58:23.124087 : Epoch  9, Batch   1423, Loss  0.874050, Average Loss  0.867542, Time  0.317425
2021-09-12 14:58:27.709821 : Epoch  9, Batch   1424, Loss  0.882952, Average Loss  0.867605, Time  0.310292
2021-09-12 14:58:31.435944 : Epoch  9, Batch   1425, Loss  0.862488, Average Loss  0.867628, Time  0.277468
2021-09-12 14:58:35.939423 : Epoch  9, Batch   1426, Loss  0.850247, Average Loss  0.867658, Time  0.280813
2021-09-12 14:58:39.828883 : Epoch  9, Batch   1427, Loss  0.862306, Average Loss  0.867671, Time  0.281572
2021-09-12 14:58:44.110880 : Epoch  9, Batch   1428, Loss  0.880467, Average Loss  0.867754, Time  0.329030
2021-09-12 14:58:49.023941 : Epoch  9, Batch   1429, Loss  0.865589, Average Loss  0.867721, Time  0.314801
2021-09-12 14:58:54.693764 : Epoch  9, Batch   1430, Loss  0.862988, Average Loss  0.867655, Time  0.310940
2021-09-12 14:59:00.618294 : Epoch  9, Batch   1431, Loss  0.878018, Average Loss  0.867674, Time  0.392864
2021-09-12 14:59:04.270414 : Epoch  9, Batch   1432, Loss  0.867349, Average Loss  0.867697, Time  0.274190
2021-09-12 14:59:08.131238 : Epoch  9, Batch   1433, Loss  0.866359, Average Loss  0.867646, Time  0.339767
2021-09-12 14:59:14.233829 : Epoch  9, Batch   1434, Loss  0.854174, Average Loss  0.867477, Time  0.290752
2021-09-12 14:59:18.966247 : Epoch  9, Batch   1435, Loss  0.868392, Average Loss  0.867396, Time  0.257669
2021-09-12 14:59:25.081721 : Epoch  9, Batch   1436, Loss  0.855628, Average Loss  0.867328, Time  0.284135
2021-09-12 14:59:27.715021 : Epoch  9, Batch   1437, Loss  0.871712, Average Loss  0.867383, Time  0.235815
2021-09-12 14:59:32.499871 : Epoch  9, Batch   1438, Loss  0.852920, Average Loss  0.867315, Time  0.276942
2021-09-12 14:59:37.977946 : Epoch  9, Batch   1439, Loss  0.856219, Average Loss  0.867260, Time  0.273308
2021-09-12 14:59:43.794302 : Epoch  9, Batch   1440, Loss  0.861055, Average Loss  0.867182, Time  0.345084
2021-09-12 14:59:49.948926 : Epoch  9, Batch   1441, Loss  0.848620, Average Loss  0.867065, Time  0.403024
2021-09-12 14:59:54.644318 : Epoch  9, Batch   1442, Loss  0.872878, Average Loss  0.867047, Time  0.362740
2021-09-12 14:59:59.521278 : Epoch  9, Batch   1443, Loss  0.853222, Average Loss  0.866922, Time  0.296558
2021-09-12 15:00:02.348721 : Epoch  9, Batch   1444, Loss  0.851959, Average Loss  0.866807, Time  0.237001
2021-09-12 15:00:07.419799 : Epoch  9, Batch   1445, Loss  0.880609, Average Loss  0.866899, Time  0.363799
2021-09-12 15:00:12.908166 : Epoch  9, Batch   1446, Loss  0.873634, Average Loss  0.866791, Time  0.301273
2021-09-12 15:00:18.856268 : Epoch  9, Batch   1447, Loss  0.847552, Average Loss  0.866646, Time  0.277942
2021-09-12 15:00:21.817718 : Epoch  9, Batch   1448, Loss  0.845637, Average Loss  0.866497, Time  0.236610
2021-09-12 15:00:28.122204 : Epoch  9, Batch   1449, Loss  0.864395, Average Loss  0.866484, Time  0.305548
2021-09-12 15:00:34.247873 : Epoch  9, Batch   1450, Loss  0.878017, Average Loss  0.866488, Time  0.358415
2021-09-12 15:00:36.851844 : Epoch  9, Batch   1451, Loss  0.872160, Average Loss  0.866583, Time  0.263578
2021-09-12 15:00:42.748730 : Epoch  9, Batch   1452, Loss  0.858389, Average Loss  0.866561, Time  0.321716
2021-09-12 15:08:26.129695 : CheckPoint: Validation Loss  0.00030478, Best Loss  0.00029019
2021-09-12 15:08:32.913126 : Epoch  9, Batch   1453, Loss  0.872348, Average Loss  0.866547, Time  0.323614
2021-09-12 15:08:38.376010 : Epoch  9, Batch   1454, Loss  0.854205, Average Loss  0.866485, Time  0.365207
2021-09-12 15:08:42.851903 : Epoch  9, Batch   1455, Loss  0.867539, Average Loss  0.866412, Time  0.293276
2021-09-12 15:08:50.149247 : Epoch  9, Batch   1456, Loss  0.864853, Average Loss  0.866274, Time  0.256629
2021-09-12 15:08:55.740823 : Epoch  9, Batch   1457, Loss  0.874937, Average Loss  0.866228, Time  0.238600
2021-09-12 15:09:01.404715 : Epoch  9, Batch   1458, Loss  0.871904, Average Loss  0.866228, Time  0.401609
2021-09-12 15:09:06.720409 : Epoch  9, Batch   1459, Loss  0.865304, Average Loss  0.866121, Time  0.291443
2021-09-12 15:09:12.068867 : Epoch  9, Batch   1460, Loss  0.858024, Average Loss  0.866054, Time  0.343645
2021-09-12 15:09:15.926868 : Epoch  9, Batch   1461, Loss  0.863689, Average Loss  0.866018, Time  0.275892
2021-09-12 15:09:20.196150 : Epoch  9, Batch   1462, Loss  0.862826, Average Loss  0.866018, Time  0.240612
2021-09-12 15:09:23.497879 : Epoch  9, Batch   1463, Loss  0.868724, Average Loss  0.866123, Time  0.302332
2021-09-12 15:09:26.759008 : Epoch  9, Batch   1464, Loss  0.863135, Average Loss  0.866083, Time  0.294433
2021-09-12 15:09:32.095771 : Epoch  9, Batch   1465, Loss  0.872763, Average Loss  0.866139, Time  0.245924
2021-09-12 15:09:35.748157 : Epoch  9, Batch   1466, Loss  0.857940, Average Loss  0.866093, Time  0.236911
2021-09-12 15:09:41.745911 : Epoch  9, Batch   1467, Loss  0.854582, Average Loss  0.866101, Time  0.301430
2021-09-12 15:09:45.048436 : Epoch  9, Batch   1468, Loss  0.851089, Average Loss  0.866007, Time  0.235976
2021-09-12 15:09:50.860922 : Epoch  9, Batch   1469, Loss  0.860901, Average Loss  0.866018, Time  0.376861
2021-09-12 15:09:56.530119 : Epoch  9, Batch   1470, Loss  0.855679, Average Loss  0.865929, Time  0.382502
2021-09-12 15:10:00.884827 : Epoch  9, Batch   1471, Loss  0.856387, Average Loss  0.865782, Time  0.403429
2021-09-12 15:10:06.283323 : Epoch  9, Batch   1472, Loss  0.858716, Average Loss  0.865693, Time  0.295690
2021-09-12 15:10:10.782269 : Epoch  9, Batch   1473, Loss  0.843197, Average Loss  0.865670, Time  0.273664
2021-09-12 15:10:16.803822 : Epoch  9, Batch   1474, Loss  0.839256, Average Loss  0.865505, Time  0.236100
2021-09-12 15:10:20.691240 : Epoch  9, Batch   1475, Loss  0.864497, Average Loss  0.865388, Time  0.338562
2021-09-12 15:10:26.549021 : Epoch  9, Batch   1476, Loss  0.863137, Average Loss  0.865347, Time  0.311526
2021-09-12 15:10:31.613903 : Epoch  9, Batch   1477, Loss  0.864872, Average Loss  0.865222, Time  0.302237
2021-09-12 15:10:36.578463 : Epoch  9, Batch   1478, Loss  0.866635, Average Loss  0.865311, Time  0.310054
2021-09-12 15:10:39.650410 : Epoch  9, Batch   1479, Loss  0.864177, Average Loss  0.865257, Time  0.287759
2021-09-12 15:10:46.621298 : Epoch  9, Batch   1480, Loss  0.859321, Average Loss  0.865287, Time  0.345489
2021-09-12 15:10:52.753971 : Epoch  9, Batch   1481, Loss  0.852141, Average Loss  0.865176, Time  0.283602
2021-09-12 15:10:58.965291 : Epoch  9, Batch   1482, Loss  0.870164, Average Loss  0.865187, Time  0.350287
2021-09-12 15:11:05.585325 : Epoch  9, Batch   1483, Loss  0.885601, Average Loss  0.865176, Time  0.296016
2021-09-12 15:11:09.598898 : Epoch  9, Batch   1484, Loss  0.857863, Average Loss  0.865114, Time  0.264710
2021-09-12 15:11:14.035916 : Epoch  9, Batch   1485, Loss  0.860107, Average Loss  0.865102, Time  0.248694
2021-09-12 15:11:18.356291 : Epoch  9, Batch   1486, Loss  0.854847, Average Loss  0.865094, Time  0.298051
2021-09-12 15:11:24.253531 : Epoch  9, Batch   1487, Loss  0.855082, Average Loss  0.865032, Time  0.279798
2021-09-12 15:11:28.934081 : Epoch  9, Batch   1488, Loss  0.860386, Average Loss  0.864996, Time  0.299803
2021-09-12 15:11:35.961776 : Epoch  9, Batch   1489, Loss  0.834372, Average Loss  0.864840, Time  0.390494
2021-09-12 15:11:41.387513 : Epoch  9, Batch   1490, Loss  0.854254, Average Loss  0.864794, Time  0.261646
2021-09-12 15:11:45.705742 : Epoch  9, Batch   1491, Loss  0.864120, Average Loss  0.864746, Time  0.323431
2021-09-12 15:11:51.892269 : Epoch  9, Batch   1492, Loss  0.868042, Average Loss  0.864803, Time  0.259963
2021-09-12 15:11:57.501011 : Epoch  9, Batch   1493, Loss  0.859654, Average Loss  0.864783, Time  0.284681
2021-09-12 15:12:03.108828 : Epoch  9, Batch   1494, Loss  0.868296, Average Loss  0.864686, Time  0.263344
2021-09-12 15:12:08.908073 : Epoch  9, Batch   1495, Loss  0.870488, Average Loss  0.864579, Time  0.277904
2021-09-12 15:12:13.283337 : Epoch  9, Batch   1496, Loss  0.828577, Average Loss  0.864376, Time  0.383094
2021-09-12 15:12:18.133855 : Epoch  9, Batch   1497, Loss  0.857774, Average Loss  0.864381, Time  0.279600
2021-09-12 15:12:23.711232 : Epoch  9, Batch   1498, Loss  0.841352, Average Loss  0.864161, Time  0.263160
2021-09-12 15:12:28.222069 : Epoch  9, Batch   1499, Loss  0.874670, Average Loss  0.864306, Time  0.337750
2021-09-12 15:12:34.989796 : Epoch  9, Batch   1500, Loss  0.847049, Average Loss  0.864205, Time  0.263262
2021-09-12 15:12:40.105090 : Epoch  9, Batch   1501, Loss  0.848807, Average Loss  0.864114, Time  0.386645
2021-09-12 15:12:45.825810 : Epoch  9, Batch   1502, Loss  0.868873, Average Loss  0.864076, Time  0.295165
2021-09-12 15:12:52.894069 : Epoch  9, Batch   1503, Loss  0.859791, Average Loss  0.864103, Time  0.258027
2021-09-12 15:12:56.014064 : Epoch  9, Batch   1504, Loss  0.846437, Average Loss  0.863998, Time  0.272596
2021-09-12 15:13:00.530796 : Epoch  9, Batch   1505, Loss  0.867946, Average Loss  0.863852, Time  0.303957
2021-09-12 15:13:04.765205 : Epoch  9, Batch   1506, Loss  0.858783, Average Loss  0.863735, Time  0.279678
2021-09-12 15:13:10.921283 : Epoch  9, Batch   1507, Loss  0.865820, Average Loss  0.863751, Time  0.339397
2021-09-12 15:13:15.759284 : Epoch  9, Batch   1508, Loss  0.863098, Average Loss  0.863767, Time  0.329547
2021-09-12 15:13:22.181293 : Epoch  9, Batch   1509, Loss  0.862507, Average Loss  0.863835, Time  0.370708
2021-09-12 15:13:27.984278 : Epoch  9, Batch   1510, Loss  0.851136, Average Loss  0.863791, Time  0.340058
2021-09-12 15:13:33.992560 : Epoch  9, Batch   1511, Loss  0.849958, Average Loss  0.863637, Time  0.348650
2021-09-12 15:13:41.178330 : Epoch  9, Batch   1512, Loss  0.864119, Average Loss  0.863568, Time  0.488720
2021-09-12 15:13:48.354437 : Epoch  9, Batch   1513, Loss  0.837969, Average Loss  0.863461, Time  0.447646
2021-09-12 15:13:53.162742 : Epoch  9, Batch   1514, Loss  0.854139, Average Loss  0.863451, Time  0.313368
2021-09-12 15:13:58.262303 : Epoch  9, Batch   1515, Loss  0.859725, Average Loss  0.863350, Time  0.293818
2021-09-12 15:14:04.772287 : Epoch  9, Batch   1516, Loss  0.873476, Average Loss  0.863515, Time  0.347477
2021-09-12 15:14:09.598755 : Epoch  9, Batch   1517, Loss  0.846905, Average Loss  0.863434, Time  0.260437
2021-09-12 15:14:14.966889 : Epoch  9, Batch   1518, Loss  0.855616, Average Loss  0.863386, Time  0.313582
2021-09-12 15:14:19.307239 : Epoch  9, Batch   1519, Loss  0.867762, Average Loss  0.863391, Time  0.240051
2021-09-12 15:14:22.598243 : Epoch  9, Batch   1520, Loss  0.849823, Average Loss  0.863222, Time  0.294193
2021-09-12 15:14:26.118144 : Epoch  9, Batch   1521, Loss  0.847173, Average Loss  0.863176, Time  0.263034
2021-09-12 15:14:30.623962 : Epoch  9, Batch   1522, Loss  0.840251, Average Loss  0.862997, Time  0.314105
2021-09-12 15:14:34.994848 : Epoch  9, Batch   1523, Loss  0.836641, Average Loss  0.862784, Time  0.279371
2021-09-12 15:14:40.075758 : Epoch  9, Batch   1524, Loss  0.866884, Average Loss  0.862839, Time  0.285266
2021-09-12 15:14:43.467084 : Epoch  9, Batch   1525, Loss  0.856915, Average Loss  0.862768, Time  0.261961
2021-09-12 15:14:47.352578 : Epoch  9, Batch   1526, Loss  0.852425, Average Loss  0.862673, Time  0.255883
2021-09-12 15:14:50.817991 : Epoch  9, Batch   1527, Loss  0.860543, Average Loss  0.862613, Time  0.303288
2021-09-12 15:14:56.835226 : Epoch  9, Batch   1528, Loss  0.840936, Average Loss  0.862481, Time  0.391036
2021-09-12 15:15:01.966024 : Epoch  9, Batch   1529, Loss  0.878980, Average Loss  0.862442, Time  0.364049
2021-09-12 15:15:09.286160 : Epoch  9, Batch   1530, Loss  0.852261, Average Loss  0.862293, Time  0.301817
2021-09-12 15:15:13.906779 : Epoch  9, Batch   1531, Loss  0.863327, Average Loss  0.862210, Time  0.325865
2021-09-12 15:15:21.175866 : Epoch  9, Batch   1532, Loss  0.854022, Average Loss  0.862133, Time  0.300932
2021-09-12 15:15:26.214933 : Epoch  9, Batch   1533, Loss  0.855785, Average Loss  0.862117, Time  0.316425
2021-09-12 15:15:30.876031 : Epoch  9, Batch   1534, Loss  0.867130, Average Loss  0.862144, Time  0.314388
2021-09-12 15:15:35.524772 : Epoch  9, Batch   1535, Loss  0.887252, Average Loss  0.862247, Time  0.259346
2021-09-12 15:15:41.378080 : Epoch  9, Batch   1536, Loss  0.845921, Average Loss  0.862214, Time  0.310904
2021-09-12 15:15:47.164684 : Epoch  9, Batch   1537, Loss  0.883363, Average Loss  0.862247, Time  0.269726
2021-09-12 15:15:52.742742 : Epoch  9, Batch   1538, Loss  0.858363, Average Loss  0.862262, Time  0.317073
2021-09-12 15:15:59.480720 : Epoch  9, Batch   1539, Loss  0.836314, Average Loss  0.862201, Time  0.319795
2021-09-12 15:16:06.158920 : Epoch  9, Batch   1540, Loss  0.872454, Average Loss  0.862269, Time  0.288660
2021-09-12 15:16:11.350684 : Epoch  9, Batch   1541, Loss  0.850576, Average Loss  0.862120, Time  0.303930
2021-09-12 15:16:17.617149 : Epoch  9, Batch   1542, Loss  0.850218, Average Loss  0.861965, Time  0.254674
2021-09-12 15:16:22.076867 : Epoch  9, Batch   1543, Loss  0.843249, Average Loss  0.861809, Time  0.304617
2021-09-12 15:16:27.441942 : Epoch  9, Batch   1544, Loss  0.864615, Average Loss  0.861861, Time  0.259622
2021-09-12 15:16:32.435389 : Epoch  9, Batch   1545, Loss  0.841688, Average Loss  0.861682, Time  0.236039
2021-09-12 15:16:37.494244 : Epoch  9, Batch   1546, Loss  0.839622, Average Loss  0.861621, Time  0.292130
2021-09-12 15:16:41.370047 : Epoch  9, Batch   1547, Loss  0.859709, Average Loss  0.861672, Time  0.276974
2021-09-12 15:16:46.161828 : Epoch  9, Batch   1548, Loss  0.864548, Average Loss  0.861793, Time  0.255615
2021-09-12 15:16:50.559964 : Epoch  9, Batch   1549, Loss  0.859979, Average Loss  0.861801, Time  0.279742
2021-09-12 15:16:57.549611 : Epoch  9, Batch   1550, Loss  0.843018, Average Loss  0.861695, Time  0.365116
2021-09-12 15:17:04.142025 : Epoch  9, Batch   1551, Loss  0.838040, Average Loss  0.861550, Time  0.236663
2021-09-12 15:17:09.370821 : Epoch  9, Batch   1552, Loss  0.849009, Average Loss  0.861499, Time  0.305601
2021-09-12 15:25:17.239727 : CheckPoint: Validation Loss  0.00029917, Best Loss  0.00029019
2021-09-12 15:25:20.869943 : Epoch  9, Batch   1553, Loss  0.852831, Average Loss  0.861384, Time  0.276113
2021-09-12 15:25:26.576316 : Epoch  9, Batch   1554, Loss  0.842128, Average Loss  0.861188, Time  0.262488
2021-09-12 15:25:32.504196 : Epoch  9, Batch   1555, Loss  0.868040, Average Loss  0.861222, Time  0.244729
2021-09-12 15:25:36.148145 : Epoch  9, Batch   1556, Loss  0.866630, Average Loss  0.861179, Time  0.236232
2021-09-12 15:25:42.455102 : Epoch  9, Batch   1557, Loss  0.834901, Average Loss  0.861021, Time  0.289755
2021-09-12 15:25:48.656290 : Epoch  9, Batch   1558, Loss  0.870249, Average Loss  0.861114, Time  0.282273
2021-09-12 15:25:54.229813 : Epoch  9, Batch   1559, Loss  0.861901, Average Loss  0.861154, Time  0.276180
2021-09-12 15:26:00.366248 : Epoch  9, Batch   1560, Loss  0.853217, Average Loss  0.861150, Time  0.346238
2021-09-12 15:26:06.797850 : Epoch  9, Batch   1561, Loss  0.859695, Average Loss  0.861169, Time  0.282243
2021-09-12 15:26:12.701892 : Epoch  9, Batch   1562, Loss  0.840098, Average Loss  0.861019, Time  0.268620
2021-09-12 15:26:15.377036 : Epoch  9, Batch   1563, Loss  0.856918, Average Loss  0.861060, Time  0.236095
2021-09-12 15:26:22.589942 : Epoch  9, Batch   1564, Loss  0.840804, Average Loss  0.860913, Time  0.330189
2021-09-12 15:26:25.528130 : Epoch  9, Batch   1565, Loss  0.840507, Average Loss  0.860798, Time  0.238685
2021-09-12 15:26:30.879764 : Epoch  9, Batch   1566, Loss  0.843080, Average Loss  0.860769, Time  0.279827
2021-09-12 15:26:36.793098 : Epoch  9, Batch   1567, Loss  0.863683, Average Loss  0.860801, Time  0.335772
2021-09-12 15:26:42.500072 : Epoch  9, Batch   1568, Loss  0.838602, Average Loss  0.860733, Time  0.337849
2021-09-12 15:26:45.478627 : Epoch  9, Batch   1569, Loss  0.858900, Average Loss  0.860577, Time  0.276474
2021-09-12 15:26:48.335040 : Epoch  9, Batch   1570, Loss  0.854300, Average Loss  0.860532, Time  0.280525
2021-09-12 15:26:52.352770 : Epoch  9, Batch   1571, Loss  0.871016, Average Loss  0.860431, Time  0.318965
2021-09-12 15:26:56.573247 : Epoch  9, Batch   1572, Loss  0.850791, Average Loss  0.860397, Time  0.237054
2021-09-12 15:27:00.760924 : Epoch  9, Batch   1573, Loss  0.877250, Average Loss  0.860485, Time  0.307959
2021-09-12 15:27:06.276903 : Epoch  9, Batch   1574, Loss  0.841088, Average Loss  0.860385, Time  0.296758
2021-09-12 15:27:10.894773 : Epoch  9, Batch   1575, Loss  0.846736, Average Loss  0.860346, Time  0.287074
2021-09-12 15:27:13.723835 : Epoch  9, Batch   1576, Loss  0.858159, Average Loss  0.860244, Time  0.236324
2021-09-12 15:27:19.637951 : Epoch  9, Batch   1577, Loss  0.814383, Average Loss  0.859965, Time  0.246585
2021-09-12 15:27:22.638796 : Epoch  9, Batch   1578, Loss  0.849761, Average Loss  0.859721, Time  0.265084
2021-09-12 15:27:27.704983 : Epoch  9, Batch   1579, Loss  0.834678, Average Loss  0.859524, Time  0.242991
2021-09-12 15:27:32.619955 : Epoch  9, Batch   1580, Loss  0.855405, Average Loss  0.859501, Time  0.320310
2021-09-12 15:27:37.579827 : Epoch  9, Batch   1581, Loss  0.856954, Average Loss  0.859472, Time  0.292382
2021-09-12 15:27:41.488938 : Epoch  9, Batch   1582, Loss  0.850495, Average Loss  0.859386, Time  0.236820
2021-09-12 15:27:44.321804 : Epoch  9, Batch   1583, Loss  0.830766, Average Loss  0.859210, Time  0.268577
2021-09-12 15:27:50.715733 : Epoch  9, Batch   1584, Loss  0.865180, Average Loss  0.859251, Time  0.271129
2021-09-12 15:27:53.844274 : Epoch  9, Batch   1585, Loss  0.832919, Average Loss  0.859063, Time  0.263144
2021-09-12 15:28:00.602036 : Epoch  9, Batch   1586, Loss  0.825898, Average Loss  0.859002, Time  0.356080
2021-09-12 15:28:05.141281 : Epoch  9, Batch   1587, Loss  0.852203, Average Loss  0.858859, Time  0.295704
2021-09-12 15:28:08.412900 : Epoch  9, Batch   1588, Loss  0.828465, Average Loss  0.858761, Time  0.237802
2021-09-12 15:28:12.414326 : Epoch  9, Batch   1589, Loss  0.860059, Average Loss  0.858758, Time  0.392636
2021-09-12 15:28:19.373052 : Epoch  9, Batch   1590, Loss  0.847984, Average Loss  0.858735, Time  0.294030
2021-09-12 15:28:25.275321 : Epoch  9, Batch   1591, Loss  0.823166, Average Loss  0.858554, Time  0.277878
2021-09-12 15:28:30.562002 : Epoch  9, Batch   1592, Loss  0.836445, Average Loss  0.858364, Time  0.270720
2021-09-12 15:28:33.236066 : Epoch  9, Batch   1593, Loss  0.840810, Average Loss  0.858112, Time  0.236951
2021-09-12 15:28:38.298269 : Epoch  9, Batch   1594, Loss  0.848270, Average Loss  0.858048, Time  0.322713
2021-09-12 15:28:43.022830 : Epoch  9, Batch   1595, Loss  0.832660, Average Loss  0.857821, Time  0.303894
2021-09-12 15:28:47.786260 : Epoch  9, Batch   1596, Loss  0.836774, Average Loss  0.857687, Time  0.248387
2021-09-12 15:28:54.509906 : Epoch  9, Batch   1597, Loss  0.851759, Average Loss  0.857586, Time  0.282403
2021-09-12 15:28:58.998410 : Epoch  9, Batch   1598, Loss  0.859695, Average Loss  0.857498, Time  0.256945
2021-09-12 15:29:03.796772 : Epoch  9, Batch   1599, Loss  0.869613, Average Loss  0.857539, Time  0.264421
2021-09-12 15:29:09.438257 : Epoch  9, Batch   1600, Loss  0.836212, Average Loss  0.857447, Time  0.324311
2021-09-12 15:29:15.787831 : Epoch  9, Batch   1601, Loss  0.853037, Average Loss  0.857358, Time  0.346262
2021-09-12 15:29:20.089853 : Epoch  9, Batch   1602, Loss  0.859025, Average Loss  0.857299, Time  0.297466
2021-09-12 15:29:27.190911 : Epoch  9, Batch   1603, Loss  0.843210, Average Loss  0.857208, Time  0.318461
2021-09-12 15:29:33.892419 : Epoch  9, Batch   1604, Loss  0.859985, Average Loss  0.857147, Time  0.410835
2021-09-12 15:29:38.491781 : Epoch  9, Batch   1605, Loss  0.862334, Average Loss  0.857185, Time  0.313565
2021-09-12 15:29:42.144916 : Epoch  9, Batch   1606, Loss  0.847439, Average Loss  0.857074, Time  0.271883
2021-09-12 15:29:46.501935 : Epoch  9, Batch   1607, Loss  0.833900, Average Loss  0.856953, Time  0.276397
2021-09-12 15:29:51.507794 : Epoch  9, Batch   1608, Loss  0.839004, Average Loss  0.856850, Time  0.297758
2021-09-12 15:29:56.845832 : Epoch  9, Batch   1609, Loss  0.821787, Average Loss  0.856611, Time  0.276540
2021-09-12 15:30:01.862249 : Epoch  9, Batch   1610, Loss  0.850565, Average Loss  0.856524, Time  0.279167
2021-09-12 15:30:07.953808 : Epoch  9, Batch   1611, Loss  0.848627, Average Loss  0.856431, Time  0.319309
2021-09-12 15:30:12.792472 : Epoch  9, Batch   1612, Loss  0.836630, Average Loss  0.856301, Time  0.271088
2021-09-12 15:30:16.865173 : Epoch  9, Batch   1613, Loss  0.842937, Average Loss  0.856236, Time  0.235895
2021-09-12 15:30:22.613018 : Epoch  9, Batch   1614, Loss  0.841776, Average Loss  0.856065, Time  0.300888
2021-09-12 15:30:27.749825 : Epoch  9, Batch   1615, Loss  0.849287, Average Loss  0.856088, Time  0.298209
2021-09-12 15:30:31.641078 : Epoch  9, Batch   1616, Loss  0.845817, Average Loss  0.855910, Time  0.252887
2021-09-12 15:30:37.432832 : Epoch  9, Batch   1617, Loss  0.850931, Average Loss  0.855853, Time  0.389947
2021-09-12 15:30:43.273989 : Epoch  9, Batch   1618, Loss  0.823144, Average Loss  0.855614, Time  0.321275
2021-09-12 15:30:48.709737 : Epoch  9, Batch   1619, Loss  0.840044, Average Loss  0.855531, Time  0.276884
2021-09-12 15:30:55.304765 : Epoch  9, Batch   1620, Loss  0.836689, Average Loss  0.855429, Time  0.321439
2021-09-12 15:31:01.697401 : Epoch  9, Batch   1621, Loss  0.837197, Average Loss  0.855264, Time  0.351649
2021-09-12 15:31:07.342265 : Epoch  9, Batch   1622, Loss  0.848563, Average Loss  0.855117, Time  0.266719
2021-09-12 15:31:14.792349 : Epoch  9, Batch   1623, Loss  0.849576, Average Loss  0.854994, Time  0.258232
2021-09-12 15:31:17.777845 : Epoch  9, Batch   1624, Loss  0.855903, Average Loss  0.854859, Time  0.294983
2021-09-12 15:31:23.080948 : Epoch  9, Batch   1625, Loss  0.841387, Average Loss  0.854754, Time  0.360460
2021-09-12 15:31:27.930501 : Epoch  9, Batch   1626, Loss  0.852649, Average Loss  0.854766, Time  0.329574
2021-09-12 15:31:35.338855 : Epoch  9, Batch   1627, Loss  0.804080, Average Loss  0.854475, Time  0.412444
2021-09-12 15:31:41.501822 : Epoch  9, Batch   1628, Loss  0.844815, Average Loss  0.854296, Time  0.472430
2021-09-12 15:31:46.898399 : Epoch  9, Batch   1629, Loss  0.843920, Average Loss  0.854188, Time  0.305012
2021-09-12 15:31:52.295498 : Epoch  9, Batch   1630, Loss  0.829293, Average Loss  0.854020, Time  0.252927
2021-09-12 15:31:59.096884 : Epoch  9, Batch   1631, Loss  0.843736, Average Loss  0.853848, Time  0.301644
2021-09-12 15:32:05.596851 : Epoch  9, Batch   1632, Loss  0.866976, Average Loss  0.853846, Time  0.331703
2021-09-12 15:32:10.695223 : Epoch  9, Batch   1633, Loss  0.840769, Average Loss  0.853718, Time  0.388858
2021-09-12 15:32:14.130478 : Epoch  9, Batch   1634, Loss  0.837912, Average Loss  0.853637, Time  0.291592
2021-09-12 15:32:20.269278 : Epoch  9, Batch   1635, Loss  0.818375, Average Loss  0.853387, Time  0.316594
2021-09-12 15:32:28.095593 : Epoch  9, Batch   1636, Loss  0.866179, Average Loss  0.853440, Time  0.236920
2021-09-12 15:32:33.757532 : Epoch  9, Batch   1637, Loss  0.863223, Average Loss  0.853397, Time  0.341192
2021-09-12 15:32:40.609883 : Epoch  9, Batch   1638, Loss  0.836318, Average Loss  0.853314, Time  0.285485
2021-09-12 15:32:45.017091 : Epoch  9, Batch   1639, Loss  0.844407, Average Loss  0.853255, Time  0.304738
2021-09-12 15:32:49.209760 : Epoch  9, Batch   1640, Loss  0.846388, Average Loss  0.853182, Time  0.268452
2021-09-12 15:32:55.635010 : Epoch  9, Batch   1641, Loss  0.841533, Average Loss  0.853146, Time  0.315905
2021-09-12 15:33:00.363014 : Epoch  9, Batch   1642, Loss  0.837848, Average Loss  0.852971, Time  0.255778
2021-09-12 15:33:03.621789 : Epoch  9, Batch   1643, Loss  0.842878, Average Loss  0.852920, Time  0.334345
2021-09-12 15:33:11.142096 : Epoch  9, Batch   1644, Loss  0.829730, Average Loss  0.852808, Time  0.321307
2021-09-12 15:33:15.827754 : Epoch  9, Batch   1645, Loss  0.837761, Average Loss  0.852594, Time  0.247874
2021-09-12 15:33:19.658804 : Epoch  9, Batch   1646, Loss  0.825518, Average Loss  0.852354, Time  0.256840
2021-09-12 15:33:22.967913 : Epoch  9, Batch   1647, Loss  0.846301, Average Loss  0.852347, Time  0.260991
2021-09-12 15:33:27.941759 : Epoch  9, Batch   1648, Loss  0.840253, Average Loss  0.852320, Time  0.244273
2021-09-12 15:33:33.612815 : Epoch  9, Batch   1649, Loss  0.837119, Average Loss  0.852184, Time  0.320758
2021-09-12 15:33:37.777826 : Epoch  9, Batch   1650, Loss  0.837512, Average Loss  0.851981, Time  0.306847
2021-09-12 15:33:41.602228 : Epoch  9, Batch   1651, Loss  0.851139, Average Loss  0.851876, Time  0.307099
2021-09-12 15:33:45.919216 : Epoch  9, Batch   1652, Loss  0.839382, Average Loss  0.851781, Time  0.238652
2021-09-12 15:41:24.380722 : CheckPoint: Validation Loss  0.00029151, Best Loss  0.00029019
2021-09-12 15:41:27.748895 : Epoch  9, Batch   1653, Loss  0.845822, Average Loss  0.851649, Time  0.273706
2021-09-12 15:41:30.597861 : Epoch  9, Batch   1654, Loss  0.843689, Average Loss  0.851596, Time  0.300220
2021-09-12 15:41:33.504812 : Epoch  9, Batch   1655, Loss  0.855587, Average Loss  0.851536, Time  0.243341
2021-09-12 15:41:37.206945 : Epoch  9, Batch   1656, Loss  0.844351, Average Loss  0.851434, Time  0.271937
2021-09-12 15:41:43.806309 : Epoch  9, Batch   1657, Loss  0.865798, Average Loss  0.851388, Time  0.318426
2021-09-12 15:41:51.142815 : Epoch  9, Batch   1658, Loss  0.846815, Average Loss  0.851263, Time  0.374445
2021-09-12 15:41:54.978081 : Epoch  9, Batch   1659, Loss  0.841175, Average Loss  0.851142, Time  0.240368
2021-09-12 15:42:00.493302 : Epoch  9, Batch   1660, Loss  0.823200, Average Loss  0.850968, Time  0.268969
2021-09-12 15:42:05.142082 : Epoch  9, Batch   1661, Loss  0.811036, Average Loss  0.850705, Time  0.236138
2021-09-12 15:42:12.527312 : Epoch  9, Batch   1662, Loss  0.848261, Average Loss  0.850632, Time  0.361196
2021-09-12 15:42:15.161832 : Epoch  9, Batch   1663, Loss  0.828086, Average Loss  0.850429, Time  0.262923
2021-09-12 15:42:19.374644 : Epoch  9, Batch   1664, Loss  0.863318, Average Loss  0.850430, Time  0.316615
2021-09-12 15:42:24.068269 : Epoch  9, Batch   1665, Loss  0.829789, Average Loss  0.850215, Time  0.242984
2021-09-12 15:42:32.944986 : Epoch  9, Batch   1666, Loss  0.841527, Average Loss  0.850133, Time  0.392586
2021-09-12 15:42:40.064373 : Epoch  9, Batch   1667, Loss  0.834357, Average Loss  0.850032, Time  0.325813
2021-09-12 15:42:44.506444 : Epoch  9, Batch   1668, Loss  0.857077, Average Loss  0.850061, Time  0.251825
2021-09-12 15:42:49.730247 : Epoch  9, Batch   1669, Loss  0.846522, Average Loss  0.849990, Time  0.309919
2021-09-12 15:42:54.376800 : Epoch  9, Batch   1670, Loss  0.856512, Average Loss  0.849994, Time  0.290968
2021-09-12 15:42:57.426222 : Epoch  9, Batch   1671, Loss  0.844520, Average Loss  0.849934, Time  0.342540
2021-09-12 15:43:02.781310 : Epoch  9, Batch   1672, Loss  0.847855, Average Loss  0.849880, Time  0.273498
2021-09-12 15:43:07.297843 : Epoch  9, Batch   1673, Loss  0.843450, Average Loss  0.849881, Time  0.260250
2021-09-12 15:43:11.181498 : Epoch  9, Batch   1674, Loss  0.850109, Average Loss  0.849936, Time  0.276279
2021-09-12 15:43:14.827959 : Epoch  9, Batch   1675, Loss  0.844188, Average Loss  0.849834, Time  0.315568
2021-09-12 15:43:20.263741 : Epoch  9, Batch   1676, Loss  0.839948, Average Loss  0.849718, Time  0.263871
2021-09-12 15:43:26.360150 : Epoch  9, Batch   1677, Loss  0.846826, Average Loss  0.849628, Time  0.236709
2021-09-12 15:43:29.780900 : Epoch  9, Batch   1678, Loss  0.835283, Average Loss  0.849471, Time  0.293149
2021-09-12 15:43:35.984293 : Epoch  9, Batch   1679, Loss  0.847296, Average Loss  0.849387, Time  0.279660
2021-09-12 15:43:42.035825 : Epoch  9, Batch   1680, Loss  0.847638, Average Loss  0.849328, Time  0.361622
2021-09-12 15:43:46.993001 : Epoch  9, Batch   1681, Loss  0.838960, Average Loss  0.849262, Time  0.321218
2021-09-12 15:43:50.375311 : Epoch  9, Batch   1682, Loss  0.848616, Average Loss  0.849155, Time  0.337033
2021-09-12 15:43:55.525429 : Epoch  9, Batch   1683, Loss  0.840249, Average Loss  0.848928, Time  0.430336
2021-09-12 15:44:04.480051 : Epoch  9, Batch   1684, Loss  0.847539, Average Loss  0.848876, Time  0.315536
2021-09-12 15:44:08.411802 : Epoch  9, Batch   1685, Loss  0.853312, Average Loss  0.848842, Time  0.273757
2021-09-12 15:44:13.799228 : Epoch  9, Batch   1686, Loss  0.839758, Average Loss  0.848767, Time  0.292986
2021-09-12 15:44:18.838872 : Epoch  9, Batch   1687, Loss  0.833008, Average Loss  0.848656, Time  0.277179
2021-09-12 15:44:24.072848 : Epoch  9, Batch   1688, Loss  0.830622, Average Loss  0.848508, Time  0.360153
2021-09-12 15:44:28.292279 : Epoch  9, Batch   1689, Loss  0.876542, Average Loss  0.848719, Time  0.270446
2021-09-12 15:44:32.362910 : Epoch  9, Batch   1690, Loss  0.828660, Average Loss  0.848591, Time  0.343618
2021-09-12 15:44:37.339307 : Epoch  9, Batch   1691, Loss  0.854023, Average Loss  0.848540, Time  0.312918
2021-09-12 15:44:41.630166 : Epoch  9, Batch   1692, Loss  0.847322, Average Loss  0.848436, Time  0.236877
2021-09-12 15:44:46.865251 : Epoch  9, Batch   1693, Loss  0.859870, Average Loss  0.848438, Time  0.244153
2021-09-12 15:44:52.314743 : Epoch  9, Batch   1694, Loss  0.856615, Average Loss  0.848379, Time  0.281318
2021-09-12 15:44:55.678094 : Epoch  9, Batch   1695, Loss  0.855482, Average Loss  0.848304, Time  0.235800
2021-09-12 15:44:59.585507 : Epoch  9, Batch   1696, Loss  0.834417, Average Loss  0.848333, Time  0.296297
2021-09-12 15:45:06.924831 : Epoch  9, Batch   1697, Loss  0.841264, Average Loss  0.848251, Time  0.269723
2021-09-12 15:45:12.414269 : Epoch  9, Batch   1698, Loss  0.830639, Average Loss  0.848197, Time  0.262356
2021-09-12 15:45:16.550777 : Epoch  9, Batch   1699, Loss  0.826580, Average Loss  0.847957, Time  0.265618
2021-09-12 15:45:22.911330 : Epoch  9, Batch   1700, Loss  0.854951, Average Loss  0.847996, Time  0.338576
2021-09-12 15:45:28.498891 : Epoch  9, Batch   1701, Loss  0.833365, Average Loss  0.847919, Time  0.272644
2021-09-12 15:45:34.876278 : Epoch  9, Batch   1702, Loss  0.834725, Average Loss  0.847748, Time  0.297279
2021-09-12 15:45:37.839872 : Epoch  9, Batch   1703, Loss  0.837111, Average Loss  0.847635, Time  0.323624
2021-09-12 15:45:45.102289 : Epoch  9, Batch   1704, Loss  0.831188, Average Loss  0.847559, Time  0.348182
2021-09-12 15:45:47.892394 : Epoch  9, Batch   1705, Loss  0.861399, Average Loss  0.847526, Time  0.235957
2021-09-12 15:45:51.810109 : Epoch  9, Batch   1706, Loss  0.856125, Average Loss  0.847513, Time  0.364040
2021-09-12 15:45:57.922090 : Epoch  9, Batch   1707, Loss  0.847522, Average Loss  0.847421, Time  0.376171
2021-09-12 15:46:01.592453 : Epoch  9, Batch   1708, Loss  0.841489, Average Loss  0.847313, Time  0.259458
2021-09-12 15:46:06.013259 : Epoch  9, Batch   1709, Loss  0.832317, Average Loss  0.847162, Time  0.325587
2021-09-12 15:46:12.493336 : Epoch  9, Batch   1710, Loss  0.833419, Average Loss  0.847074, Time  0.377311
2021-09-12 15:46:19.016866 : Epoch  9, Batch   1711, Loss  0.864347, Average Loss  0.847146, Time  0.269501
2021-09-12 15:46:25.354818 : Epoch  9, Batch   1712, Loss  0.867022, Average Loss  0.847160, Time  0.326717
2021-09-12 15:46:30.510853 : Epoch  9, Batch   1713, Loss  0.822184, Average Loss  0.847081, Time  0.308995
2021-09-12 15:46:33.085474 : Epoch  9, Batch   1714, Loss  0.835554, Average Loss  0.846988, Time  0.235969
2021-09-12 15:46:37.736983 : Epoch  9, Batch   1715, Loss  0.830726, Average Loss  0.846843, Time  0.252645
2021-09-12 15:46:41.425929 : Epoch  9, Batch   1716, Loss  0.827053, Average Loss  0.846611, Time  0.352860
2021-09-12 15:46:50.343076 : Epoch  9, Batch   1717, Loss  0.838998, Average Loss  0.846572, Time  0.435064
2021-09-12 15:46:56.173998 : Epoch  9, Batch   1718, Loss  0.841752, Average Loss  0.846502, Time  0.344809
2021-09-12 15:47:01.558908 : Epoch  9, Batch   1719, Loss  0.861022, Average Loss  0.846469, Time  0.255166
2021-09-12 15:47:08.343822 : Epoch  9, Batch   1720, Loss  0.842556, Average Loss  0.846432, Time  0.329745
2021-09-12 15:47:14.127613 : Epoch  9, Batch   1721, Loss  0.832713, Average Loss  0.846360, Time  0.326717
2021-09-12 15:47:23.449369 : Epoch  9, Batch   1722, Loss  0.845567, Average Loss  0.846386, Time  0.292054
2021-09-12 15:47:28.074865 : Epoch  9, Batch   1723, Loss  0.838893, Average Loss  0.846398, Time  0.362581
2021-09-12 15:47:32.305321 : Epoch  9, Batch   1724, Loss  0.856194, Average Loss  0.846344, Time  0.343247
2021-09-12 15:47:39.421010 : Epoch  9, Batch   1725, Loss  0.851012, Average Loss  0.846315, Time  0.359493
2021-09-12 15:47:45.718333 : Epoch  9, Batch   1726, Loss  0.839509, Average Loss  0.846250, Time  0.420811
2021-09-12 15:47:53.613322 : Epoch  9, Batch   1727, Loss  0.832971, Average Loss  0.846112, Time  0.284195
2021-09-12 15:48:01.363518 : Epoch  9, Batch   1728, Loss  0.860481, Average Loss  0.846210, Time  0.356458
2021-09-12 15:48:07.368767 : Epoch  9, Batch   1729, Loss  0.832034, Average Loss  0.845975, Time  0.356154
2021-09-12 15:48:11.662290 : Epoch  9, Batch   1730, Loss  0.850372, Average Loss  0.845966, Time  0.261307
2021-09-12 15:48:16.298657 : Epoch  9, Batch   1731, Loss  0.833201, Average Loss  0.845815, Time  0.287077
2021-09-12 15:48:24.263308 : Epoch  9, Batch   1732, Loss  0.824497, Average Loss  0.845668, Time  0.375990
2021-09-12 15:48:33.095339 : Epoch  9, Batch   1733, Loss  0.832827, Average Loss  0.845553, Time  0.329647
2021-09-12 15:48:37.253547 : Epoch  9, Batch   1734, Loss  0.826764, Average Loss  0.845351, Time  0.300270
2021-09-12 15:48:42.064774 : Epoch  9, Batch   1735, Loss  0.831081, Average Loss  0.845070, Time  0.276396
2021-09-12 15:48:47.703147 : Epoch  9, Batch   1736, Loss  0.831402, Average Loss  0.844998, Time  0.303581
2021-09-12 15:48:53.629215 : Epoch  9, Batch   1737, Loss  0.830515, Average Loss  0.844733, Time  0.350112
2021-09-12 15:49:00.815118 : Epoch  9, Batch   1738, Loss  0.847509, Average Loss  0.844679, Time  0.331355
2021-09-12 15:49:04.686732 : Epoch  9, Batch   1739, Loss  0.837825, Average Loss  0.844687, Time  0.240653
2021-09-12 15:49:09.656824 : Epoch  9, Batch   1740, Loss  0.846479, Average Loss  0.844557, Time  0.302199
2021-09-12 15:49:16.812545 : Epoch  9, Batch   1741, Loss  0.827423, Average Loss  0.844441, Time  0.296206
2021-09-12 15:49:21.147769 : Epoch  9, Batch   1742, Loss  0.833507, Average Loss  0.844357, Time  0.284675
2021-09-12 15:49:25.139932 : Epoch  9, Batch   1743, Loss  0.823885, Average Loss  0.844261, Time  0.276205
2021-09-12 15:49:31.041371 : Epoch  9, Batch   1744, Loss  0.826844, Average Loss  0.844072, Time  0.331483
2021-09-12 15:49:37.886087 : Epoch  9, Batch   1745, Loss  0.842690, Average Loss  0.844077, Time  0.325902
2021-09-12 15:49:43.355464 : Epoch  9, Batch   1746, Loss  0.812230, Average Loss  0.843940, Time  0.236709
2021-09-12 15:49:51.354619 : Epoch  9, Batch   1747, Loss  0.847353, Average Loss  0.843878, Time  0.303484
2021-09-12 15:49:57.177822 : Epoch  9, Batch   1748, Loss  0.849466, Average Loss  0.843803, Time  0.368685
2021-09-12 15:50:05.567145 : Epoch  9, Batch   1749, Loss  0.835027, Average Loss  0.843678, Time  0.418126
2021-09-12 15:50:11.400283 : Epoch  9, Batch   1750, Loss  0.811685, Average Loss  0.843521, Time  0.477251
2021-09-12 15:50:16.244832 : Epoch  9, Batch   1751, Loss  0.868717, Average Loss  0.843675, Time  0.285623
2021-09-12 15:50:23.712989 : Epoch  9, Batch   1752, Loss  0.807615, Average Loss  0.843468, Time  0.280299
2021-09-12 15:58:14.150512 : CheckPoint: Validation Loss  0.00028407, Best Loss  0.00028407
2021-09-12 15:58:14.185594 : Best Model Updated
2021-09-12 15:58:21.001923 : Epoch  9, Batch   1753, Loss  0.842659, Average Loss  0.843417, Time  0.296133
2021-09-12 15:58:24.775890 : Epoch  9, Batch   1754, Loss  0.854704, Average Loss  0.843480, Time  0.262084
2021-09-12 15:58:29.096297 : Epoch  9, Batch   1755, Loss  0.853609, Average Loss  0.843407, Time  0.236871
2021-09-12 15:58:33.184337 : Epoch  9, Batch   1756, Loss  0.840607, Average Loss  0.843277, Time  0.427428
2021-09-12 15:58:41.408554 : Epoch  9, Batch   1757, Loss  0.844108, Average Loss  0.843323, Time  0.337307
2021-09-12 15:58:44.938325 : Epoch  9, Batch   1758, Loss  0.842463, Average Loss  0.843184, Time  0.320858
2021-09-12 15:58:49.694047 : Epoch  9, Batch   1759, Loss  0.851118, Average Loss  0.843130, Time  0.356498
2021-09-12 15:58:54.312023 : Epoch  9, Batch   1760, Loss  0.837606, Average Loss  0.843052, Time  0.313266
2021-09-12 15:58:58.167804 : Epoch  9, Batch   1761, Loss  0.855612, Average Loss  0.843032, Time  0.295245
2021-09-12 15:59:04.482852 : Epoch  9, Batch   1762, Loss  0.843022, Average Loss  0.843047, Time  0.309331
2021-09-12 15:59:10.967796 : Epoch  9, Batch   1763, Loss  0.851557, Average Loss  0.843020, Time  0.349235
2021-09-12 15:59:15.618958 : Epoch  9, Batch   1764, Loss  0.839594, Average Loss  0.843014, Time  0.253399
2021-09-12 15:59:18.990953 : Epoch  9, Batch   1765, Loss  0.819185, Average Loss  0.842907, Time  0.258150
2021-09-12 15:59:23.665761 : Epoch  9, Batch   1766, Loss  0.834848, Average Loss  0.842866, Time  0.266032
2021-09-12 15:59:30.613866 : Epoch  9, Batch   1767, Loss  0.829206, Average Loss  0.842694, Time  0.278227
2021-09-12 15:59:35.018947 : Epoch  9, Batch   1768, Loss  0.823475, Average Loss  0.842618, Time  0.290939
2021-09-12 15:59:40.951454 : Epoch  9, Batch   1769, Loss  0.854228, Average Loss  0.842595, Time  0.338317
2021-09-12 15:59:47.205367 : Epoch  9, Batch   1770, Loss  0.845762, Average Loss  0.842552, Time  0.365978
2021-09-12 15:59:53.984846 : Epoch  9, Batch   1771, Loss  0.829525, Average Loss  0.842344, Time  0.365831
2021-09-12 15:59:57.626026 : Epoch  9, Batch   1772, Loss  0.841512, Average Loss  0.842298, Time  0.252809
2021-09-12 16:00:01.699053 : Epoch  9, Batch   1773, Loss  0.802435, Average Loss  0.841924, Time  0.314855
2021-09-12 16:00:07.919245 : Epoch  9, Batch   1774, Loss  0.825063, Average Loss  0.841844, Time  0.331931
2021-09-12 16:00:13.170168 : Epoch  9, Batch   1775, Loss  0.836320, Average Loss  0.841792, Time  0.300236
2021-09-12 16:00:16.664586 : Epoch  9, Batch   1776, Loss  0.865436, Average Loss  0.841828, Time  0.253380
2021-09-12 16:00:21.145317 : Epoch  9, Batch   1777, Loss  0.837535, Average Loss  0.841944, Time  0.260547
2021-09-12 16:00:26.855317 : Epoch  9, Batch   1778, Loss  0.799916, Average Loss  0.841695, Time  0.269835
2021-09-12 16:00:32.742805 : Epoch  9, Batch   1779, Loss  0.830948, Average Loss  0.841676, Time  0.257090
2021-09-12 16:00:39.433507 : Epoch  9, Batch   1780, Loss  0.819719, Average Loss  0.841498, Time  0.276460
2021-09-12 16:00:45.645051 : Epoch  9, Batch   1781, Loss  0.841642, Average Loss  0.841421, Time  0.319197
2021-09-12 16:00:50.623765 : Epoch  9, Batch   1782, Loss  0.857124, Average Loss  0.841454, Time  0.279171
2021-09-12 16:00:57.657789 : Epoch  9, Batch   1783, Loss  0.856216, Average Loss  0.841581, Time  0.315479
2021-09-12 16:01:03.224926 : Epoch  9, Batch   1784, Loss  0.833909, Average Loss  0.841425, Time  0.333977
2021-09-12 16:01:09.347979 : Epoch  9, Batch   1785, Loss  0.852158, Average Loss  0.841521, Time  0.247098
2021-09-12 16:01:14.423931 : Epoch  9, Batch   1786, Loss  0.837644, Average Loss  0.841580, Time  0.274923
2021-09-12 16:01:21.847788 : Epoch  9, Batch   1787, Loss  0.829907, Average Loss  0.841469, Time  0.360264
2021-09-12 16:01:28.104960 : Epoch  9, Batch   1788, Loss  0.833835, Average Loss  0.841495, Time  0.285430
2021-09-12 16:01:33.209296 : Epoch  9, Batch   1789, Loss  0.827670, Average Loss  0.841333, Time  0.273046
2021-09-12 16:01:39.361090 : Epoch  9, Batch   1790, Loss  0.858484, Average Loss  0.841386, Time  0.309489
2021-09-12 16:01:42.522881 : Epoch  9, Batch   1791, Loss  0.850236, Average Loss  0.841521, Time  0.285895
2021-09-12 16:01:48.031889 : Epoch  9, Batch   1792, Loss  0.829565, Average Loss  0.841487, Time  0.327243
2021-09-12 16:01:55.159818 : Epoch  9, Batch   1793, Loss  0.843097, Average Loss  0.841498, Time  0.403964
2021-09-12 16:02:00.811336 : Epoch  9, Batch   1794, Loss  0.844041, Average Loss  0.841477, Time  0.314760
2021-09-12 16:02:06.869882 : Epoch  9, Batch   1795, Loss  0.839375, Average Loss  0.841511, Time  0.394216
2021-09-12 16:02:12.230075 : Epoch  9, Batch   1796, Loss  0.831852, Average Loss  0.841486, Time  0.373879
2021-09-12 16:02:17.381884 : Epoch  9, Batch   1797, Loss  0.814368, Average Loss  0.841299, Time  0.315152
2021-09-12 16:02:22.338114 : Epoch  9, Batch   1798, Loss  0.858303, Average Loss  0.841292, Time  0.262206
2021-09-12 16:02:27.877274 : Epoch  9, Batch   1799, Loss  0.822778, Average Loss  0.841058, Time  0.267267
2021-09-12 16:02:31.322242 : Epoch  9, Batch   1800, Loss  0.838057, Average Loss  0.841067, Time  0.258492
2021-09-12 16:02:34.665478 : Epoch  9, Batch   1801, Loss  0.835818, Average Loss  0.840981, Time  0.316225
2021-09-12 16:02:41.769116 : Epoch  9, Batch   1802, Loss  0.859210, Average Loss  0.840982, Time  0.322660
2021-09-12 16:02:47.551836 : Epoch  9, Batch   1803, Loss  0.834393, Average Loss  0.840938, Time  0.313283
2021-09-12 16:02:52.761301 : Epoch  9, Batch   1804, Loss  0.821526, Average Loss  0.840746, Time  0.260126
2021-09-12 16:02:58.474438 : Epoch  9, Batch   1805, Loss  0.845377, Average Loss  0.840661, Time  0.272628
2021-09-12 16:03:03.104813 : Epoch  9, Batch   1806, Loss  0.832936, Average Loss  0.840588, Time  0.262142
2021-09-12 16:03:08.223276 : Epoch  9, Batch   1807, Loss  0.830573, Average Loss  0.840572, Time  0.295503
2021-09-12 16:03:13.011479 : Epoch  9, Batch   1808, Loss  0.833896, Average Loss  0.840546, Time  0.294833
2021-09-12 16:03:17.235776 : Epoch  9, Batch   1809, Loss  0.837039, Average Loss  0.840623, Time  0.250471
2021-09-12 16:03:22.565291 : Epoch  9, Batch   1810, Loss  0.861840, Average Loss  0.840679, Time  0.364155
2021-09-12 16:03:26.341240 : Epoch  9, Batch   1811, Loss  0.821919, Average Loss  0.840545, Time  0.236004
2021-09-12 16:03:30.970462 : Epoch  9, Batch   1812, Loss  0.825911, Average Loss  0.840492, Time  0.312628
2021-09-12 16:03:33.687605 : Epoch  9, Batch   1813, Loss  0.847201, Average Loss  0.840513, Time  0.261248
2021-09-12 16:03:39.354905 : Epoch  9, Batch   1814, Loss  0.835810, Average Loss  0.840483, Time  0.332891
2021-09-12 16:03:46.295015 : Epoch  9, Batch   1815, Loss  0.838113, Average Loss  0.840427, Time  0.343822
2021-09-12 16:03:50.945047 : Epoch  9, Batch   1816, Loss  0.838211, Average Loss  0.840389, Time  0.282975
2021-09-12 16:03:55.935969 : Epoch  9, Batch   1817, Loss  0.843707, Average Loss  0.840353, Time  0.275743
2021-09-12 16:04:03.297812 : Epoch  9, Batch   1818, Loss  0.840493, Average Loss  0.840440, Time  0.303660
2021-09-12 16:04:11.009093 : Epoch  9, Batch   1819, Loss  0.827705, Average Loss  0.840378, Time  0.396314
2021-09-12 16:04:15.406586 : Epoch  9, Batch   1820, Loss  0.844645, Average Loss  0.840418, Time  0.316141
2021-09-12 16:04:19.860651 : Epoch  9, Batch   1821, Loss  0.822443, Average Loss  0.840344, Time  0.280659
2021-09-12 16:04:24.345327 : Epoch  9, Batch   1822, Loss  0.840975, Average Loss  0.840306, Time  0.412161
2021-09-12 16:04:31.991292 : Epoch  9, Batch   1823, Loss  0.843634, Average Loss  0.840277, Time  0.344919
2021-09-12 16:04:37.854328 : Epoch  9, Batch   1824, Loss  0.841696, Average Loss  0.840206, Time  0.254259
2021-09-12 16:04:43.433805 : Epoch  9, Batch   1825, Loss  0.836148, Average Loss  0.840179, Time  0.261951
2021-09-12 16:04:49.860295 : Epoch  9, Batch   1826, Loss  0.841620, Average Loss  0.840124, Time  0.290020
2021-09-12 16:04:56.253004 : Epoch  9, Batch   1827, Loss  0.841059, Average Loss  0.840309, Time  0.296544
2021-09-12 16:05:02.316235 : Epoch  9, Batch   1828, Loss  0.823497, Average Loss  0.840203, Time  0.246148
2021-09-12 16:05:06.501919 : Epoch  9, Batch   1829, Loss  0.841736, Average Loss  0.840192, Time  0.326732
2021-09-12 16:05:11.109919 : Epoch  9, Batch   1830, Loss  0.854245, Average Loss  0.840316, Time  0.389237
2021-09-12 16:05:16.874113 : Epoch  9, Batch   1831, Loss  0.812105, Average Loss  0.840158, Time  0.367354
2021-09-12 16:05:24.035934 : Epoch  9, Batch   1832, Loss  0.839344, Average Loss  0.840020, Time  0.331406
2021-09-12 16:05:30.302136 : Epoch  9, Batch   1833, Loss  0.829106, Average Loss  0.839962, Time  0.457370
2021-09-12 16:05:37.345637 : Epoch  9, Batch   1834, Loss  0.841223, Average Loss  0.839978, Time  0.363166
2021-09-12 16:05:42.385234 : Epoch  9, Batch   1835, Loss  0.837658, Average Loss  0.840075, Time  0.265302
2021-09-12 16:05:46.130287 : Epoch  9, Batch   1836, Loss  0.850317, Average Loss  0.839995, Time  0.250988
2021-09-12 16:05:51.674925 : Epoch  9, Batch   1837, Loss  0.819170, Average Loss  0.839775, Time  0.261806
2021-09-12 16:05:59.869854 : Epoch  9, Batch   1838, Loss  0.825441, Average Loss  0.839721, Time  0.369097
2021-09-12 16:06:04.382120 : Epoch  9, Batch   1839, Loss  0.828906, Average Loss  0.839643, Time  0.330783
2021-09-12 16:06:11.053848 : Epoch  9, Batch   1840, Loss  0.829612, Average Loss  0.839559, Time  0.338203
2021-09-12 16:06:16.605779 : Epoch  9, Batch   1841, Loss  0.844017, Average Loss  0.839572, Time  0.266085
2021-09-12 16:06:23.522914 : Epoch  9, Batch   1842, Loss  0.831602, Average Loss  0.839541, Time  0.399880
2021-09-12 16:06:31.389297 : Epoch  9, Batch   1843, Loss  0.838945, Average Loss  0.839521, Time  0.306902
2021-09-12 16:06:38.857285 : Epoch  9, Batch   1844, Loss  0.822982, Average Loss  0.839487, Time  0.296287
2021-09-12 16:06:44.721007 : Epoch  9, Batch   1845, Loss  0.831516, Average Loss  0.839456, Time  0.251707
2021-09-12 16:06:48.731152 : Epoch  9, Batch   1846, Loss  0.835636, Average Loss  0.839507, Time  0.315525
2021-09-12 16:06:52.984026 : Epoch  9, Batch   1847, Loss  0.824070, Average Loss  0.839395, Time  0.277736
2021-09-12 16:06:58.184016 : Epoch  9, Batch   1848, Loss  0.834410, Average Loss  0.839366, Time  0.281003
2021-09-12 16:07:03.981987 : Epoch  9, Batch   1849, Loss  0.825013, Average Loss  0.839306, Time  0.309632
2021-09-12 16:07:10.210003 : Epoch  9, Batch   1850, Loss  0.817310, Average Loss  0.839205, Time  0.339158
2021-09-12 16:07:15.725822 : Epoch  9, Batch   1851, Loss  0.837062, Average Loss  0.839134, Time  0.292011
2021-09-12 16:07:21.032539 : Epoch  9, Batch   1852, Loss  0.834986, Average Loss  0.839112, Time  0.374320
2021-09-12 16:15:06.818713 : CheckPoint: Validation Loss  0.00029241, Best Loss  0.00028407
2021-09-12 16:15:10.806751 : Epoch  9, Batch   1853, Loss  0.840728, Average Loss  0.839087, Time  0.361595
2021-09-12 16:15:16.109874 : Epoch  9, Batch   1854, Loss  0.823689, Average Loss  0.838987, Time  0.287929
2021-09-12 16:15:21.539895 : Epoch  9, Batch   1855, Loss  0.847456, Average Loss  0.838946, Time  0.267833
2021-09-12 16:15:26.480766 : Epoch  9, Batch   1856, Loss  0.831198, Average Loss  0.838880, Time  0.308158
2021-09-12 16:15:26.527575 : Saving Model after 9-th Epoch.
2021-09-12 16:15:27.578599 : Epoch Finished.
2021-09-12 16:15:40.598895 : Batch Shuffled
2021-09-12 16:15:45.752455 : Epoch 10, Batch      1, Loss  0.823265, Average Loss  0.838668, Time  0.376339
2021-09-12 16:15:50.663305 : Epoch 10, Batch      2, Loss  0.825144, Average Loss  0.838559, Time  0.320784
2021-09-12 16:15:55.304888 : Epoch 10, Batch      3, Loss  0.839577, Average Loss  0.838551, Time  0.278135
2021-09-12 16:16:00.768755 : Epoch 10, Batch      4, Loss  0.828209, Average Loss  0.838576, Time  0.333492
2021-09-12 16:16:04.675483 : Epoch 10, Batch      5, Loss  0.856825, Average Loss  0.838805, Time  0.301775
2021-09-12 16:16:09.631579 : Epoch 10, Batch      6, Loss  0.839924, Average Loss  0.838764, Time  0.281977
2021-09-12 16:16:12.712809 : Epoch 10, Batch      7, Loss  0.832934, Average Loss  0.838788, Time  0.236447
2021-09-12 16:16:17.874216 : Epoch 10, Batch      8, Loss  0.834249, Average Loss  0.838643, Time  0.300433
2021-09-12 16:16:22.716824 : Epoch 10, Batch      9, Loss  0.858716, Average Loss  0.838787, Time  0.259686
2021-09-12 16:16:27.651494 : Epoch 10, Batch     10, Loss  0.838935, Average Loss  0.838774, Time  0.342574
2021-09-12 16:16:29.947082 : Epoch 10, Batch     11, Loss  0.841040, Average Loss  0.838808, Time  0.235311
2021-09-12 16:16:34.541239 : Epoch 10, Batch     12, Loss  0.822522, Average Loss  0.838635, Time  0.272307
2021-09-12 16:16:39.139978 : Epoch 10, Batch     13, Loss  0.837997, Average Loss  0.838592, Time  0.294744
2021-09-12 16:16:43.412925 : Epoch 10, Batch     14, Loss  0.855070, Average Loss  0.838585, Time  0.265470
2021-09-12 16:16:49.960268 : Epoch 10, Batch     15, Loss  0.845124, Average Loss  0.838588, Time  0.281276
2021-09-12 16:16:55.859261 : Epoch 10, Batch     16, Loss  0.823627, Average Loss  0.838467, Time  0.308843
2021-09-12 16:17:01.997356 : Epoch 10, Batch     17, Loss  0.843674, Average Loss  0.838468, Time  0.320872
2021-09-12 16:17:07.315517 : Epoch 10, Batch     18, Loss  0.840122, Average Loss  0.838418, Time  0.352643
2021-09-12 16:17:10.943416 : Epoch 10, Batch     19, Loss  0.818678, Average Loss  0.838291, Time  0.236203
2021-09-12 16:17:14.415172 : Epoch 10, Batch     20, Loss  0.833477, Average Loss  0.838258, Time  0.236081
2021-09-12 16:17:18.970950 : Epoch 10, Batch     21, Loss  0.824275, Average Loss  0.838146, Time  0.292516
2021-09-12 16:17:23.680723 : Epoch 10, Batch     22, Loss  0.834215, Average Loss  0.838140, Time  0.261135
2021-09-12 16:17:29.218888 : Epoch 10, Batch     23, Loss  0.831755, Average Loss  0.838062, Time  0.255261
2021-09-12 16:17:34.697075 : Epoch 10, Batch     24, Loss  0.813695, Average Loss  0.837893, Time  0.303254
2021-09-12 16:17:38.622758 : Epoch 10, Batch     25, Loss  0.840765, Average Loss  0.837902, Time  0.280931
2021-09-12 16:17:44.202293 : Epoch 10, Batch     26, Loss  0.845002, Average Loss  0.837884, Time  0.350486
2021-09-12 16:17:50.985867 : Epoch 10, Batch     27, Loss  0.844893, Average Loss  0.837907, Time  0.370804
2021-09-12 16:17:58.698116 : Epoch 10, Batch     28, Loss  0.844670, Average Loss  0.837893, Time  0.344802
2021-09-12 16:18:01.676991 : Epoch 10, Batch     29, Loss  0.830775, Average Loss  0.837780, Time  0.236905
2021-09-12 16:18:05.152915 : Epoch 10, Batch     30, Loss  0.842887, Average Loss  0.837796, Time  0.273983
2021-09-12 16:18:09.664760 : Epoch 10, Batch     31, Loss  0.832784, Average Loss  0.837794, Time  0.284969
2021-09-12 16:18:15.354466 : Epoch 10, Batch     32, Loss  0.844857, Average Loss  0.837866, Time  0.368798
2021-09-12 16:18:19.732368 : Epoch 10, Batch     33, Loss  0.833799, Average Loss  0.837652, Time  0.336084
2021-09-12 16:18:24.099813 : Epoch 10, Batch     34, Loss  0.827408, Average Loss  0.837646, Time  0.275966
2021-09-12 16:18:27.681236 : Epoch 10, Batch     35, Loss  0.821318, Average Loss  0.837482, Time  0.236161
2021-09-12 16:18:34.437936 : Epoch 10, Batch     36, Loss  0.834615, Average Loss  0.837419, Time  0.310418
2021-09-12 16:18:38.351987 : Epoch 10, Batch     37, Loss  0.831300, Average Loss  0.837276, Time  0.351732
2021-09-12 16:18:44.352813 : Epoch 10, Batch     38, Loss  0.851932, Average Loss  0.837252, Time  0.329516
2021-09-12 16:18:48.744160 : Epoch 10, Batch     39, Loss  0.820439, Average Loss  0.837077, Time  0.324285
2021-09-12 16:18:53.400934 : Epoch 10, Batch     40, Loss  0.819300, Average Loss  0.837001, Time  0.247633
2021-09-12 16:18:59.517145 : Epoch 10, Batch     41, Loss  0.858524, Average Loss  0.837088, Time  0.256536
2021-09-12 16:19:03.943881 : Epoch 10, Batch     42, Loss  0.847100, Average Loss  0.837170, Time  0.243754
2021-09-12 16:19:11.287078 : Epoch 10, Batch     43, Loss  0.824515, Average Loss  0.837160, Time  0.297643
2021-09-12 16:19:17.464876 : Epoch 10, Batch     44, Loss  0.833705, Average Loss  0.837054, Time  0.320856
2021-09-12 16:19:24.374880 : Epoch 10, Batch     45, Loss  0.857354, Average Loss  0.837173, Time  0.306949
2021-09-12 16:19:31.219880 : Epoch 10, Batch     46, Loss  0.831609, Average Loss  0.837158, Time  0.437158
2021-09-12 16:19:34.490790 : Epoch 10, Batch     47, Loss  0.826542, Average Loss  0.837105, Time  0.243056
2021-09-12 16:19:39.863161 : Epoch 10, Batch     48, Loss  0.842506, Average Loss  0.837162, Time  0.270934
2021-09-12 16:19:44.859930 : Epoch 10, Batch     49, Loss  0.846963, Average Loss  0.837089, Time  0.276481
2021-09-12 16:19:49.806171 : Epoch 10, Batch     50, Loss  0.840248, Average Loss  0.837010, Time  0.376122
2021-09-12 16:19:52.443754 : Epoch 10, Batch     51, Loss  0.831182, Average Loss  0.836928, Time  0.281646
2021-09-12 16:19:57.230296 : Epoch 10, Batch     52, Loss  0.838783, Average Loss  0.836915, Time  0.319023
2021-09-12 16:20:02.639768 : Epoch 10, Batch     53, Loss  0.828687, Average Loss  0.836897, Time  0.324776
2021-09-12 16:20:07.713110 : Epoch 10, Batch     54, Loss  0.845352, Average Loss  0.836956, Time  0.372465
2021-09-12 16:20:12.806469 : Epoch 10, Batch     55, Loss  0.826312, Average Loss  0.836766, Time  0.329285
2021-09-12 16:20:16.592221 : Epoch 10, Batch     56, Loss  0.824762, Average Loss  0.836555, Time  0.252621
2021-09-12 16:20:20.925921 : Epoch 10, Batch     57, Loss  0.855380, Average Loss  0.836721, Time  0.322848
2021-09-12 16:20:27.393875 : Epoch 10, Batch     58, Loss  0.822512, Average Loss  0.836656, Time  0.386051
2021-09-12 16:20:32.883988 : Epoch 10, Batch     59, Loss  0.837435, Average Loss  0.836689, Time  0.261930
2021-09-12 16:20:37.732278 : Epoch 10, Batch     60, Loss  0.845020, Average Loss  0.836779, Time  0.404577
2021-09-12 16:20:41.448058 : Epoch 10, Batch     61, Loss  0.851019, Average Loss  0.836839, Time  0.256968
2021-09-12 16:20:46.668239 : Epoch 10, Batch     62, Loss  0.850321, Average Loss  0.836882, Time  0.303384
2021-09-12 16:20:50.240766 : Epoch 10, Batch     63, Loss  0.822040, Average Loss  0.836687, Time  0.285122
2021-09-12 16:20:53.851755 : Epoch 10, Batch     64, Loss  0.833905, Average Loss  0.836644, Time  0.304046
2021-09-12 16:20:58.103070 : Epoch 10, Batch     65, Loss  0.850649, Average Loss  0.836733, Time  0.325410
2021-09-12 16:21:03.671895 : Epoch 10, Batch     66, Loss  0.846342, Average Loss  0.836737, Time  0.319738
2021-09-12 16:21:07.926834 : Epoch 10, Batch     67, Loss  0.829412, Average Loss  0.836690, Time  0.291061
2021-09-12 16:21:11.151738 : Epoch 10, Batch     68, Loss  0.831867, Average Loss  0.836568, Time  0.278041
2021-09-12 16:21:14.753225 : Epoch 10, Batch     69, Loss  0.833875, Average Loss  0.836483, Time  0.290042
2021-09-12 16:21:19.603824 : Epoch 10, Batch     70, Loss  0.834922, Average Loss  0.836460, Time  0.308384
2021-09-12 16:21:23.370410 : Epoch 10, Batch     71, Loss  0.827522, Average Loss  0.836432, Time  0.292319
2021-09-12 16:21:30.252158 : Epoch 10, Batch     72, Loss  0.835375, Average Loss  0.836307, Time  0.279115
2021-09-12 16:21:35.172794 : Epoch 10, Batch     73, Loss  0.842019, Average Loss  0.836357, Time  0.308868
2021-09-12 16:21:41.274870 : Epoch 10, Batch     74, Loss  0.840649, Average Loss  0.836308, Time  0.300075
2021-09-12 16:21:46.836866 : Epoch 10, Batch     75, Loss  0.851432, Average Loss  0.836399, Time  0.344831
2021-09-12 16:21:53.119137 : Epoch 10, Batch     76, Loss  0.805702, Average Loss  0.836305, Time  0.280630
2021-09-12 16:21:56.876319 : Epoch 10, Batch     77, Loss  0.840930, Average Loss  0.836346, Time  0.276907
2021-09-12 16:22:02.543945 : Epoch 10, Batch     78, Loss  0.840606, Average Loss  0.836415, Time  0.320061
2021-09-12 16:22:08.028809 : Epoch 10, Batch     79, Loss  0.821329, Average Loss  0.836366, Time  0.305474
2021-09-12 16:22:13.878880 : Epoch 10, Batch     80, Loss  0.816784, Average Loss  0.836293, Time  0.236345
2021-09-12 16:22:18.551329 : Epoch 10, Batch     81, Loss  0.851504, Average Loss  0.836398, Time  0.261822
2021-09-12 16:22:23.211808 : Epoch 10, Batch     82, Loss  0.815677, Average Loss  0.836239, Time  0.379175
2021-09-12 16:22:31.049008 : Epoch 10, Batch     83, Loss  0.828138, Average Loss  0.836191, Time  0.305701
2021-09-12 16:22:38.561784 : Epoch 10, Batch     84, Loss  0.838433, Average Loss  0.836150, Time  0.357778
2021-09-12 16:22:44.793282 : Epoch 10, Batch     85, Loss  0.832737, Average Loss  0.836177, Time  0.314132
2021-09-12 16:22:50.988114 : Epoch 10, Batch     86, Loss  0.847845, Average Loss  0.836249, Time  0.236424
2021-09-12 16:22:57.366829 : Epoch 10, Batch     87, Loss  0.829099, Average Loss  0.836275, Time  0.263217
2021-09-12 16:23:02.018160 : Epoch 10, Batch     88, Loss  0.856611, Average Loss  0.836424, Time  0.237005
2021-09-12 16:23:06.148808 : Epoch 10, Batch     89, Loss  0.849188, Average Loss  0.836456, Time  0.317160
2021-09-12 16:23:13.882534 : Epoch 10, Batch     90, Loss  0.843792, Average Loss  0.836614, Time  0.494528
2021-09-12 16:23:19.341890 : Epoch 10, Batch     91, Loss  0.840655, Average Loss  0.836580, Time  0.346136
2021-09-12 16:23:23.515307 : Epoch 10, Batch     92, Loss  0.836367, Average Loss  0.836515, Time  0.255115
2021-09-12 16:23:29.124021 : Epoch 10, Batch     93, Loss  0.857407, Average Loss  0.836627, Time  0.275007
2021-09-12 16:23:36.146802 : Epoch 10, Batch     94, Loss  0.840926, Average Loss  0.836773, Time  0.431208
2021-09-12 16:23:39.264114 : Epoch 10, Batch     95, Loss  0.828337, Average Loss  0.836571, Time  0.249850
2021-09-12 16:23:45.316463 : Epoch 10, Batch     96, Loss  0.829979, Average Loss  0.836683, Time  0.257754
2021-09-12 16:31:27.416740 : CheckPoint: Validation Loss  0.00028532, Best Loss  0.00028407
2021-09-12 16:31:31.038312 : Epoch 10, Batch     97, Loss  0.829965, Average Loss  0.836619, Time  0.335607
2021-09-12 16:31:35.696753 : Epoch 10, Batch     98, Loss  0.805055, Average Loss  0.836371, Time  0.343653
2021-09-12 16:31:40.186389 : Epoch 10, Batch     99, Loss  0.840984, Average Loss  0.836308, Time  0.237558
2021-09-12 16:31:48.740369 : Epoch 10, Batch    100, Loss  0.839038, Average Loss  0.836300, Time  0.412661
2021-09-12 16:31:53.294034 : Epoch 10, Batch    101, Loss  0.816681, Average Loss  0.836163, Time  0.368640
2021-09-12 16:31:58.164511 : Epoch 10, Batch    102, Loss  0.841837, Average Loss  0.836160, Time  0.304273
2021-09-12 16:32:01.542897 : Epoch 10, Batch    103, Loss  0.832067, Average Loss  0.836065, Time  0.271093
2021-09-12 16:32:07.448299 : Epoch 10, Batch    104, Loss  0.822806, Average Loss  0.835991, Time  0.286154
2021-09-12 16:32:12.439000 : Epoch 10, Batch    105, Loss  0.836221, Average Loss  0.835894, Time  0.316711
2021-09-12 16:32:16.356501 : Epoch 10, Batch    106, Loss  0.838310, Average Loss  0.835870, Time  0.308539
2021-09-12 16:32:21.303866 : Epoch 10, Batch    107, Loss  0.835543, Average Loss  0.835790, Time  0.276032
2021-09-12 16:32:26.931911 : Epoch 10, Batch    108, Loss  0.827742, Average Loss  0.835731, Time  0.271316
2021-09-12 16:32:31.580509 : Epoch 10, Batch    109, Loss  0.847555, Average Loss  0.835873, Time  0.306837
2021-09-12 16:32:37.252107 : Epoch 10, Batch    110, Loss  0.837052, Average Loss  0.835884, Time  0.278699
2021-09-12 16:32:40.281882 : Epoch 10, Batch    111, Loss  0.831933, Average Loss  0.835897, Time  0.269270
2021-09-12 16:32:44.156106 : Epoch 10, Batch    112, Loss  0.835742, Average Loss  0.835959, Time  0.270240
2021-09-12 16:32:49.313994 : Epoch 10, Batch    113, Loss  0.832086, Average Loss  0.835848, Time  0.338744
2021-09-12 16:32:53.377331 : Epoch 10, Batch    114, Loss  0.828774, Average Loss  0.835763, Time  0.299862
2021-09-12 16:32:59.068933 : Epoch 10, Batch    115, Loss  0.834239, Average Loss  0.835787, Time  0.280406
2021-09-12 16:33:03.882957 : Epoch 10, Batch    116, Loss  0.845464, Average Loss  0.835806, Time  0.262089
2021-09-12 16:33:08.641004 : Epoch 10, Batch    117, Loss  0.814947, Average Loss  0.835869, Time  0.282718
2021-09-12 16:33:13.606751 : Epoch 10, Batch    118, Loss  0.838446, Average Loss  0.835936, Time  0.277404
2021-09-12 16:33:18.884935 : Epoch 10, Batch    119, Loss  0.824933, Average Loss  0.835879, Time  0.267201
2021-09-12 16:33:23.701967 : Epoch 10, Batch    120, Loss  0.817129, Average Loss  0.835637, Time  0.297287
2021-09-12 16:33:27.349976 : Epoch 10, Batch    121, Loss  0.852581, Average Loss  0.835713, Time  0.289719
2021-09-12 16:33:31.683252 : Epoch 10, Batch    122, Loss  0.822462, Average Loss  0.835825, Time  0.237405
2021-09-12 16:33:36.658354 : Epoch 10, Batch    123, Loss  0.833672, Average Loss  0.835839, Time  0.235950
2021-09-12 16:33:39.855945 : Epoch 10, Batch    124, Loss  0.830105, Average Loss  0.835891, Time  0.286625
2021-09-12 16:33:45.524450 : Epoch 10, Batch    125, Loss  0.845513, Average Loss  0.835910, Time  0.344648
2021-09-12 16:33:50.590272 : Epoch 10, Batch    126, Loss  0.838293, Average Loss  0.835816, Time  0.253584
2021-09-12 16:33:56.518954 : Epoch 10, Batch    127, Loss  0.822178, Average Loss  0.835646, Time  0.285681
2021-09-12 16:34:01.475070 : Epoch 10, Batch    128, Loss  0.841443, Average Loss  0.835684, Time  0.404878
2021-09-12 16:34:05.139924 : Epoch 10, Batch    129, Loss  0.839585, Average Loss  0.835621, Time  0.400420
2021-09-12 16:34:10.235237 : Epoch 10, Batch    130, Loss  0.818366, Average Loss  0.835524, Time  0.356721
2021-09-12 16:34:14.963264 : Epoch 10, Batch    131, Loss  0.831674, Average Loss  0.835533, Time  0.280943
2021-09-12 16:34:20.239192 : Epoch 10, Batch    132, Loss  0.822749, Average Loss  0.835478, Time  0.257281
2021-09-12 16:34:23.566759 : Epoch 10, Batch    133, Loss  0.841391, Average Loss  0.835546, Time  0.260885
2021-09-12 16:34:28.134968 : Epoch 10, Batch    134, Loss  0.823970, Average Loss  0.835374, Time  0.301663
2021-09-12 16:34:32.955048 : Epoch 10, Batch    135, Loss  0.814553, Average Loss  0.835195, Time  0.320760
2021-09-12 16:34:37.945796 : Epoch 10, Batch    136, Loss  0.806960, Average Loss  0.835082, Time  0.302464
2021-09-12 16:34:43.003525 : Epoch 10, Batch    137, Loss  0.833491, Average Loss  0.835034, Time  0.271221
2021-09-12 16:34:47.861240 : Epoch 10, Batch    138, Loss  0.834323, Average Loss  0.834986, Time  0.282668
2021-09-12 16:34:51.890076 : Epoch 10, Batch    139, Loss  0.850765, Average Loss  0.835043, Time  0.255418
2021-09-12 16:34:58.022906 : Epoch 10, Batch    140, Loss  0.855154, Average Loss  0.835159, Time  0.344141
2021-09-12 16:35:04.774926 : Epoch 10, Batch    141, Loss  0.819451, Average Loss  0.835185, Time  0.334655
2021-09-12 16:35:09.748198 : Epoch 10, Batch    142, Loss  0.831199, Average Loss  0.835049, Time  0.278365
2021-09-12 16:35:14.917970 : Epoch 10, Batch    143, Loss  0.849544, Average Loss  0.835183, Time  0.362578
2021-09-12 16:35:19.374251 : Epoch 10, Batch    144, Loss  0.817368, Average Loss  0.835079, Time  0.242693
2021-09-12 16:35:23.111948 : Epoch 10, Batch    145, Loss  0.829949, Average Loss  0.835050, Time  0.326043
2021-09-12 16:35:29.126056 : Epoch 10, Batch    146, Loss  0.834746, Average Loss  0.834928, Time  0.248339
2021-09-12 16:35:35.384300 : Epoch 10, Batch    147, Loss  0.817443, Average Loss  0.834843, Time  0.315429
2021-09-12 16:35:40.714803 : Epoch 10, Batch    148, Loss  0.852278, Average Loss  0.834997, Time  0.362843
2021-09-12 16:35:45.813919 : Epoch 10, Batch    149, Loss  0.826847, Average Loss  0.834904, Time  0.270257
2021-09-12 16:35:50.331659 : Epoch 10, Batch    150, Loss  0.829745, Average Loss  0.834888, Time  0.278740
2021-09-12 16:35:55.650958 : Epoch 10, Batch    151, Loss  0.834142, Average Loss  0.834906, Time  0.303664
2021-09-12 16:35:59.062439 : Epoch 10, Batch    152, Loss  0.831917, Average Loss  0.834896, Time  0.246015
2021-09-12 16:36:03.185829 : Epoch 10, Batch    153, Loss  0.840201, Average Loss  0.834912, Time  0.274777
2021-09-12 16:36:09.049996 : Epoch 10, Batch    154, Loss  0.835350, Average Loss  0.834780, Time  0.326445
2021-09-12 16:36:14.766103 : Epoch 10, Batch    155, Loss  0.828599, Average Loss  0.834813, Time  0.364740
2021-09-12 16:36:19.309985 : Epoch 10, Batch    156, Loss  0.822533, Average Loss  0.834796, Time  0.319982
2021-09-12 16:36:23.917858 : Epoch 10, Batch    157, Loss  0.830246, Average Loss  0.834711, Time  0.338758
2021-09-12 16:36:27.304108 : Epoch 10, Batch    158, Loss  0.830344, Average Loss  0.834684, Time  0.298190
2021-09-12 16:36:33.687055 : Epoch 10, Batch    159, Loss  0.820880, Average Loss  0.834598, Time  0.339069
2021-09-12 16:36:40.056276 : Epoch 10, Batch    160, Loss  0.854677, Average Loss  0.834680, Time  0.353575
2021-09-12 16:36:45.886957 : Epoch 10, Batch    161, Loss  0.818537, Average Loss  0.834554, Time  0.293348
2021-09-12 16:36:50.807032 : Epoch 10, Batch    162, Loss  0.832081, Average Loss  0.834512, Time  0.330807
2021-09-12 16:36:55.059792 : Epoch 10, Batch    163, Loss  0.845839, Average Loss  0.834603, Time  0.236454
2021-09-12 16:37:01.122879 : Epoch 10, Batch    164, Loss  0.831876, Average Loss  0.834539, Time  0.273353
2021-09-12 16:37:07.925813 : Epoch 10, Batch    165, Loss  0.830657, Average Loss  0.834580, Time  0.383983
2021-09-12 16:37:14.009329 : Epoch 10, Batch    166, Loss  0.842598, Average Loss  0.834588, Time  0.296039
2021-09-12 16:37:19.935767 : Epoch 10, Batch    167, Loss  0.856306, Average Loss  0.834652, Time  0.354034
2021-09-12 16:37:26.807331 : Epoch 10, Batch    168, Loss  0.847974, Average Loss  0.834683, Time  0.359264
2021-09-12 16:37:30.908810 : Epoch 10, Batch    169, Loss  0.819924, Average Loss  0.834602, Time  0.372937
2021-09-12 16:37:37.194839 : Epoch 10, Batch    170, Loss  0.823401, Average Loss  0.834511, Time  0.295313
2021-09-12 16:37:41.042940 : Epoch 10, Batch    171, Loss  0.827013, Average Loss  0.834441, Time  0.275009
2021-09-12 16:37:44.947270 : Epoch 10, Batch    172, Loss  0.826924, Average Loss  0.834458, Time  0.303371
2021-09-12 16:37:49.216834 : Epoch 10, Batch    173, Loss  0.840102, Average Loss  0.834449, Time  0.267517
2021-09-12 16:37:55.265758 : Epoch 10, Batch    174, Loss  0.837914, Average Loss  0.834368, Time  0.336143
2021-09-12 16:37:58.504029 : Epoch 10, Batch    175, Loss  0.822155, Average Loss  0.834418, Time  0.261593
2021-09-12 16:38:02.753851 : Epoch 10, Batch    176, Loss  0.837286, Average Loss  0.834408, Time  0.236624
2021-09-12 16:38:06.664123 : Epoch 10, Batch    177, Loss  0.824387, Average Loss  0.834384, Time  0.299222
2021-09-12 16:38:10.943250 : Epoch 10, Batch    178, Loss  0.806866, Average Loss  0.834212, Time  0.271867
2021-09-12 16:38:18.062568 : Epoch 10, Batch    179, Loss  0.843718, Average Loss  0.834243, Time  0.263742
2021-09-12 16:38:22.037041 : Epoch 10, Batch    180, Loss  0.824440, Average Loss  0.834113, Time  0.317450
2021-09-12 16:38:26.386840 : Epoch 10, Batch    181, Loss  0.836251, Average Loss  0.834199, Time  0.287886
2021-09-12 16:38:33.453328 : Epoch 10, Batch    182, Loss  0.820212, Average Loss  0.834173, Time  0.324670
2021-09-12 16:38:40.171104 : Epoch 10, Batch    183, Loss  0.828670, Average Loss  0.834171, Time  0.254879
2021-09-12 16:38:48.163277 : Epoch 10, Batch    184, Loss  0.840622, Average Loss  0.834226, Time  0.379081
2021-09-12 16:38:52.267880 : Epoch 10, Batch    185, Loss  0.823407, Average Loss  0.834123, Time  0.305116
2021-09-12 16:38:56.347800 : Epoch 10, Batch    186, Loss  0.836032, Average Loss  0.834146, Time  0.317585
2021-09-12 16:39:01.487365 : Epoch 10, Batch    187, Loss  0.836391, Average Loss  0.834133, Time  0.256967
2021-09-12 16:39:06.327918 : Epoch 10, Batch    188, Loss  0.811415, Average Loss  0.834075, Time  0.310816
2021-09-12 16:39:10.350904 : Epoch 10, Batch    189, Loss  0.834832, Average Loss  0.834092, Time  0.358931
2021-09-12 16:39:16.492888 : Epoch 10, Batch    190, Loss  0.851010, Average Loss  0.834168, Time  0.360272
2021-09-12 16:39:21.242178 : Epoch 10, Batch    191, Loss  0.820024, Average Loss  0.834148, Time  0.247581
2021-09-12 16:39:25.557763 : Epoch 10, Batch    192, Loss  0.825687, Average Loss  0.834105, Time  0.269739
2021-09-12 16:39:28.620784 : Epoch 10, Batch    193, Loss  0.827911, Average Loss  0.834119, Time  0.253942
2021-09-12 16:39:33.299815 : Epoch 10, Batch    194, Loss  0.815570, Average Loss  0.834110, Time  0.264316
2021-09-12 16:39:38.431825 : Epoch 10, Batch    195, Loss  0.830274, Average Loss  0.834076, Time  0.289892
2021-09-12 16:39:46.107291 : Epoch 10, Batch    196, Loss  0.816725, Average Loss  0.833985, Time  0.281242
2021-09-12 16:47:52.181719 : CheckPoint: Validation Loss  0.00028303, Best Loss  0.00028303
2021-09-12 16:47:52.258577 : Best Model Updated
2021-09-12 16:47:57.214999 : Epoch 10, Batch    197, Loss  0.788837, Average Loss  0.833726, Time  0.295330
2021-09-12 16:48:01.373791 : Epoch 10, Batch    198, Loss  0.833572, Average Loss  0.833775, Time  0.258037
2021-09-12 16:48:06.961244 : Epoch 10, Batch    199, Loss  0.823919, Average Loss  0.833657, Time  0.369447
2021-09-12 16:48:10.792963 : Epoch 10, Batch    200, Loss  0.834191, Average Loss  0.833672, Time  0.296502
2021-09-12 16:48:18.400878 : Epoch 10, Batch    201, Loss  0.810428, Average Loss  0.833608, Time  0.336909
2021-09-12 16:48:23.322268 : Epoch 10, Batch    202, Loss  0.834745, Average Loss  0.833656, Time  0.416956
2021-09-12 16:48:26.634857 : Epoch 10, Batch    203, Loss  0.852986, Average Loss  0.833723, Time  0.262142
2021-09-12 16:48:32.326223 : Epoch 10, Batch    204, Loss  0.836947, Average Loss  0.833767, Time  0.275287
2021-09-12 16:48:38.542801 : Epoch 10, Batch    205, Loss  0.830190, Average Loss  0.833634, Time  0.253529
2021-09-12 16:48:42.870351 : Epoch 10, Batch    206, Loss  0.827547, Average Loss  0.833572, Time  0.284282
2021-09-12 16:48:46.312659 : Epoch 10, Batch    207, Loss  0.825617, Average Loss  0.833535, Time  0.245272
2021-09-12 16:48:49.579093 : Epoch 10, Batch    208, Loss  0.828811, Average Loss  0.833508, Time  0.236543
2021-09-12 16:48:55.773854 : Epoch 10, Batch    209, Loss  0.829953, Average Loss  0.833364, Time  0.375341
2021-09-12 16:49:00.694815 : Epoch 10, Batch    210, Loss  0.833924, Average Loss  0.833339, Time  0.305054
2021-09-12 16:49:06.191778 : Epoch 10, Batch    211, Loss  0.846013, Average Loss  0.833364, Time  0.307339
2021-09-12 16:49:10.316090 : Epoch 10, Batch    212, Loss  0.825836, Average Loss  0.833381, Time  0.256584
2021-09-12 16:49:16.188846 : Epoch 10, Batch    213, Loss  0.823588, Average Loss  0.833309, Time  0.277005
2021-09-12 16:49:19.216900 : Epoch 10, Batch    214, Loss  0.828400, Average Loss  0.833175, Time  0.236243
2021-09-12 16:49:25.216725 : Epoch 10, Batch    215, Loss  0.832084, Average Loss  0.833110, Time  0.261663
2021-09-12 16:49:32.470164 : Epoch 10, Batch    216, Loss  0.850157, Average Loss  0.833243, Time  0.348421
2021-09-12 16:49:36.516740 : Epoch 10, Batch    217, Loss  0.832948, Average Loss  0.833189, Time  0.297418
2021-09-12 16:49:39.926834 : Epoch 10, Batch    218, Loss  0.828876, Average Loss  0.833133, Time  0.299996
2021-09-12 16:49:43.309004 : Epoch 10, Batch    219, Loss  0.848513, Average Loss  0.833282, Time  0.268181
2021-09-12 16:49:48.157309 : Epoch 10, Batch    220, Loss  0.835150, Average Loss  0.833290, Time  0.350208
2021-09-12 16:49:51.959058 : Epoch 10, Batch    221, Loss  0.821915, Average Loss  0.833279, Time  0.289628
2021-09-12 16:49:58.530892 : Epoch 10, Batch    222, Loss  0.831764, Average Loss  0.833266, Time  0.400628
2021-09-12 16:50:03.361030 : Epoch 10, Batch    223, Loss  0.847612, Average Loss  0.833346, Time  0.292385
2021-09-12 16:50:08.074097 : Epoch 10, Batch    224, Loss  0.808858, Average Loss  0.833321, Time  0.272050
2021-09-12 16:50:11.170818 : Epoch 10, Batch    225, Loss  0.851932, Average Loss  0.833377, Time  0.289392
2021-09-12 16:50:17.082266 : Epoch 10, Batch    226, Loss  0.842726, Average Loss  0.833366, Time  0.271468
2021-09-12 16:50:22.617302 : Epoch 10, Batch    227, Loss  0.819493, Average Loss  0.833239, Time  0.332216
2021-09-12 16:50:25.964798 : Epoch 10, Batch    228, Loss  0.829846, Average Loss  0.833165, Time  0.251939
2021-09-12 16:50:30.315861 : Epoch 10, Batch    229, Loss  0.835562, Average Loss  0.833189, Time  0.270621
2021-09-12 16:50:35.661403 : Epoch 10, Batch    230, Loss  0.820095, Average Loss  0.833075, Time  0.346373
2021-09-12 16:50:39.369239 : Epoch 10, Batch    231, Loss  0.829753, Average Loss  0.833060, Time  0.385246
2021-09-12 16:50:43.891309 : Epoch 10, Batch    232, Loss  0.844347, Average Loss  0.833057, Time  0.301355
2021-09-12 16:50:49.369248 : Epoch 10, Batch    233, Loss  0.802747, Average Loss  0.832902, Time  0.236617
2021-09-12 16:50:53.076179 : Epoch 10, Batch    234, Loss  0.840415, Average Loss  0.832967, Time  0.317118
2021-09-12 16:50:55.926541 : Epoch 10, Batch    235, Loss  0.815608, Average Loss  0.832938, Time  0.292034
2021-09-12 16:50:59.414282 : Epoch 10, Batch    236, Loss  0.817108, Average Loss  0.832851, Time  0.324905
2021-09-12 16:51:04.438750 : Epoch 10, Batch    237, Loss  0.825821, Average Loss  0.832823, Time  0.262015
2021-09-12 16:51:10.350919 : Epoch 10, Batch    238, Loss  0.817954, Average Loss  0.832653, Time  0.247769
2021-09-12 16:51:14.454132 : Epoch 10, Batch    239, Loss  0.834736, Average Loss  0.832725, Time  0.261297
2021-09-12 16:51:20.378269 : Epoch 10, Batch    240, Loss  0.825445, Average Loss  0.832756, Time  0.315811
2021-09-12 16:51:26.731146 : Epoch 10, Batch    241, Loss  0.853417, Average Loss  0.832730, Time  0.333497
2021-09-12 16:51:30.966237 : Epoch 10, Batch    242, Loss  0.812665, Average Loss  0.832558, Time  0.239658
2021-09-12 16:51:35.415089 : Epoch 10, Batch    243, Loss  0.835302, Average Loss  0.832612, Time  0.293378
2021-09-12 16:51:40.676973 : Epoch 10, Batch    244, Loss  0.803649, Average Loss  0.832462, Time  0.321846
2021-09-12 16:51:45.833517 : Epoch 10, Batch    245, Loss  0.820888, Average Loss  0.832279, Time  0.256774
2021-09-12 16:51:50.438372 : Epoch 10, Batch    246, Loss  0.843118, Average Loss  0.832337, Time  0.297827
2021-09-12 16:51:56.368831 : Epoch 10, Batch    247, Loss  0.840484, Average Loss  0.832406, Time  0.306699
2021-09-12 16:52:02.550027 : Epoch 10, Batch    248, Loss  0.842952, Average Loss  0.832409, Time  0.382518
2021-09-12 16:52:07.981167 : Epoch 10, Batch    249, Loss  0.827854, Average Loss  0.832313, Time  0.364032
2021-09-12 16:52:13.063815 : Epoch 10, Batch    250, Loss  0.837674, Average Loss  0.832300, Time  0.291312
2021-09-12 16:52:19.833030 : Epoch 10, Batch    251, Loss  0.833114, Average Loss  0.832310, Time  0.308985
2021-09-12 16:52:26.345790 : Epoch 10, Batch    252, Loss  0.837945, Average Loss  0.832306, Time  0.374925
2021-09-12 16:52:33.020196 : Epoch 10, Batch    253, Loss  0.826324, Average Loss  0.832294, Time  0.248156
2021-09-12 16:52:39.856568 : Epoch 10, Batch    254, Loss  0.833177, Average Loss  0.832233, Time  0.266420
2021-09-12 16:52:45.633965 : Epoch 10, Batch    255, Loss  0.818758, Average Loss  0.832195, Time  0.236410
2021-09-12 16:52:51.954866 : Epoch 10, Batch    256, Loss  0.837109, Average Loss  0.832257, Time  0.402130
2021-09-12 16:52:57.615388 : Epoch 10, Batch    257, Loss  0.838382, Average Loss  0.832172, Time  0.359080
2021-09-12 16:53:01.367460 : Epoch 10, Batch    258, Loss  0.823172, Average Loss  0.832175, Time  0.297592
2021-09-12 16:53:04.604932 : Epoch 10, Batch    259, Loss  0.838575, Average Loss  0.832181, Time  0.255702
2021-09-12 16:53:11.060777 : Epoch 10, Batch    260, Loss  0.824729, Average Loss  0.832080, Time  0.295145
2021-09-12 16:53:17.008115 : Epoch 10, Batch    261, Loss  0.848363, Average Loss  0.832066, Time  0.241340
2021-09-12 16:53:24.780134 : Epoch 10, Batch    262, Loss  0.841233, Average Loss  0.832021, Time  0.415603
2021-09-12 16:53:29.737781 : Epoch 10, Batch    263, Loss  0.834797, Average Loss  0.832085, Time  0.281958
2021-09-12 16:53:36.660151 : Epoch 10, Batch    264, Loss  0.825667, Average Loss  0.832043, Time  0.321353
2021-09-12 16:53:40.209920 : Epoch 10, Batch    265, Loss  0.838768, Average Loss  0.831984, Time  0.280520
2021-09-12 16:53:45.823282 : Epoch 10, Batch    266, Loss  0.822036, Average Loss  0.831863, Time  0.382947
2021-09-12 16:53:50.136927 : Epoch 10, Batch    267, Loss  0.830394, Average Loss  0.831867, Time  0.266462
2021-09-12 16:53:55.457076 : Epoch 10, Batch    268, Loss  0.824957, Average Loss  0.831833, Time  0.336347
2021-09-12 16:53:59.357055 : Epoch 10, Batch    269, Loss  0.830596, Average Loss  0.831817, Time  0.277339
2021-09-12 16:54:03.156187 : Epoch 10, Batch    270, Loss  0.810748, Average Loss  0.831696, Time  0.291269
2021-09-12 16:54:10.979889 : Epoch 10, Batch    271, Loss  0.830673, Average Loss  0.831711, Time  0.310977
2021-09-12 16:54:14.918139 : Epoch 10, Batch    272, Loss  0.816618, Average Loss  0.831618, Time  0.296174
2021-09-12 16:54:21.031787 : Epoch 10, Batch    273, Loss  0.826946, Average Loss  0.831542, Time  0.298111
2021-09-12 16:54:27.355927 : Epoch 10, Batch    274, Loss  0.842308, Average Loss  0.831551, Time  0.323945
2021-09-12 16:54:30.574792 : Epoch 10, Batch    275, Loss  0.844732, Average Loss  0.831517, Time  0.310684
2021-09-12 16:54:34.213296 : Epoch 10, Batch    276, Loss  0.821711, Average Loss  0.831597, Time  0.299563
2021-09-12 16:54:37.257776 : Epoch 10, Batch    277, Loss  0.833592, Average Loss  0.831560, Time  0.253031
2021-09-12 16:54:42.511980 : Epoch 10, Batch    278, Loss  0.830083, Average Loss  0.831508, Time  0.285233
2021-09-12 16:54:46.976790 : Epoch 10, Batch    279, Loss  0.836357, Average Loss  0.831583, Time  0.236246
2021-09-12 16:54:51.717171 : Epoch 10, Batch    280, Loss  0.826595, Average Loss  0.831632, Time  0.270167
2021-09-12 16:54:54.954278 : Epoch 10, Batch    281, Loss  0.855630, Average Loss  0.831653, Time  0.284768
2021-09-12 16:54:58.642972 : Epoch 10, Batch    282, Loss  0.844799, Average Loss  0.831798, Time  0.266083
2021-09-12 16:55:04.844765 : Epoch 10, Batch    283, Loss  0.819935, Average Loss  0.831757, Time  0.286999
2021-09-12 16:55:09.525284 : Epoch 10, Batch    284, Loss  0.838379, Average Loss  0.831757, Time  0.399595
2021-09-12 16:55:12.952878 : Epoch 10, Batch    285, Loss  0.815626, Average Loss  0.831671, Time  0.236443
2021-09-12 16:55:17.900455 : Epoch 10, Batch    286, Loss  0.830358, Average Loss  0.831584, Time  0.239949
2021-09-12 16:55:24.553787 : Epoch 10, Batch    287, Loss  0.832179, Average Loss  0.831599, Time  0.285492
2021-09-12 16:55:32.071960 : Epoch 10, Batch    288, Loss  0.841133, Average Loss  0.831522, Time  0.323030
2021-09-12 16:55:36.377960 : Epoch 10, Batch    289, Loss  0.847183, Average Loss  0.831512, Time  0.284529
2021-09-12 16:55:41.889786 : Epoch 10, Batch    290, Loss  0.826491, Average Loss  0.831425, Time  0.306174
2021-09-12 16:55:46.479251 : Epoch 10, Batch    291, Loss  0.841366, Average Loss  0.831429, Time  0.302068
2021-09-12 16:55:52.335247 : Epoch 10, Batch    292, Loss  0.814703, Average Loss  0.831321, Time  0.288426
2021-09-12 16:55:55.635842 : Epoch 10, Batch    293, Loss  0.840315, Average Loss  0.831235, Time  0.291051
2021-09-12 16:55:59.712951 : Epoch 10, Batch    294, Loss  0.833185, Average Loss  0.831196, Time  0.317312
2021-09-12 16:56:04.495752 : Epoch 10, Batch    295, Loss  0.811520, Average Loss  0.831112, Time  0.310964
2021-09-12 16:56:21.121080 : Epoch 10, Batch    296, Loss  0.853402, Average Loss  0.831230, Time  0.282080
2021-09-12 17:04:38.210852 : CheckPoint: Validation Loss  0.00028597, Best Loss  0.00028303
2021-09-12 17:04:44.301010 : Epoch 10, Batch    297, Loss  0.826215, Average Loss  0.831211, Time  0.457080
2021-09-12 17:04:51.298433 : Epoch 10, Batch    298, Loss  0.835728, Average Loss  0.831364, Time  0.334487
2021-09-12 17:04:55.479317 : Epoch 10, Batch    299, Loss  0.832537, Average Loss  0.831322, Time  0.247200
2021-09-12 17:05:00.472336 : Epoch 10, Batch    300, Loss  0.842919, Average Loss  0.831341, Time  0.302533
2021-09-12 17:05:04.713926 : Epoch 10, Batch    301, Loss  0.830446, Average Loss  0.831410, Time  0.381475
2021-09-12 17:05:10.987820 : Epoch 10, Batch    302, Loss  0.830478, Average Loss  0.831353, Time  0.337877
2021-09-12 17:05:17.187748 : Epoch 10, Batch    303, Loss  0.841893, Average Loss  0.831402, Time  0.315617
2021-09-12 17:05:21.721979 : Epoch 10, Batch    304, Loss  0.830370, Average Loss  0.831440, Time  0.274501
2021-09-12 17:05:26.239077 : Epoch 10, Batch    305, Loss  0.844961, Average Loss  0.831484, Time  0.242473
2021-09-12 17:05:29.599312 : Epoch 10, Batch    306, Loss  0.834304, Average Loss  0.831464, Time  0.280118
2021-09-12 17:05:32.653033 : Epoch 10, Batch    307, Loss  0.847994, Average Loss  0.831526, Time  0.288498
2021-09-12 17:05:37.266343 : Epoch 10, Batch    308, Loss  0.844839, Average Loss  0.831612, Time  0.279037
2021-09-12 17:05:42.988809 : Epoch 10, Batch    309, Loss  0.828098, Average Loss  0.831514, Time  0.288414
2021-09-12 17:05:47.472480 : Epoch 10, Batch    310, Loss  0.840193, Average Loss  0.831530, Time  0.236055
2021-09-12 17:05:52.636841 : Epoch 10, Batch    311, Loss  0.842142, Average Loss  0.831581, Time  0.278518
2021-09-12 17:05:56.775313 : Epoch 10, Batch    312, Loss  0.836336, Average Loss  0.831584, Time  0.351528
2021-09-12 17:06:01.494247 : Epoch 10, Batch    313, Loss  0.841694, Average Loss  0.831632, Time  0.245532
2021-09-12 17:06:07.818331 : Epoch 10, Batch    314, Loss  0.840570, Average Loss  0.831691, Time  0.316875
2021-09-12 17:06:11.734778 : Epoch 10, Batch    315, Loss  0.821777, Average Loss  0.831629, Time  0.274452
2021-09-12 17:06:18.731887 : Epoch 10, Batch    316, Loss  0.835967, Average Loss  0.831581, Time  0.351979
2021-09-12 17:06:21.845772 : Epoch 10, Batch    317, Loss  0.848704, Average Loss  0.831750, Time  0.243954
2021-09-12 17:06:27.234261 : Epoch 10, Batch    318, Loss  0.833069, Average Loss  0.831723, Time  0.269036
2021-09-12 17:06:32.435861 : Epoch 10, Batch    319, Loss  0.840656, Average Loss  0.831802, Time  0.283683
2021-09-12 17:06:39.639984 : Epoch 10, Batch    320, Loss  0.824802, Average Loss  0.831840, Time  0.304034
2021-09-12 17:06:42.976263 : Epoch 10, Batch    321, Loss  0.820066, Average Loss  0.831678, Time  0.348740
2021-09-12 17:06:46.851798 : Epoch 10, Batch    322, Loss  0.844048, Average Loss  0.831786, Time  0.278624
2021-09-12 17:06:51.150979 : Epoch 10, Batch    323, Loss  0.852609, Average Loss  0.831880, Time  0.267951
2021-09-12 17:06:57.829013 : Epoch 10, Batch    324, Loss  0.837670, Average Loss  0.831918, Time  0.256546
2021-09-12 17:07:03.456876 : Epoch 10, Batch    325, Loss  0.834973, Average Loss  0.831865, Time  0.244138
2021-09-12 17:07:07.278826 : Epoch 10, Batch    326, Loss  0.843522, Average Loss  0.831892, Time  0.244624
2021-09-12 17:07:13.830889 : Epoch 10, Batch    327, Loss  0.844644, Average Loss  0.832004, Time  0.323891
2021-09-12 17:07:20.327799 : Epoch 10, Batch    328, Loss  0.854419, Average Loss  0.832069, Time  0.350263
2021-09-12 17:07:24.942299 : Epoch 10, Batch    329, Loss  0.810014, Average Loss  0.831921, Time  0.271326
2021-09-12 17:07:30.542360 : Epoch 10, Batch    330, Loss  0.834599, Average Loss  0.832002, Time  0.335738
2021-09-12 17:07:36.631911 : Epoch 10, Batch    331, Loss  0.843364, Average Loss  0.832061, Time  0.267353
2021-09-12 17:07:43.313149 : Epoch 10, Batch    332, Loss  0.814622, Average Loss  0.832020, Time  0.324803
2021-09-12 17:07:50.099946 : Epoch 10, Batch    333, Loss  0.827557, Average Loss  0.831951, Time  0.302307
2021-09-12 17:07:57.025808 : Epoch 10, Batch    334, Loss  0.810862, Average Loss  0.831885, Time  0.269025
2021-09-12 17:08:02.368840 : Epoch 10, Batch    335, Loss  0.821127, Average Loss  0.831918, Time  0.294815
2021-09-12 17:08:08.204935 : Epoch 10, Batch    336, Loss  0.829125, Average Loss  0.832029, Time  0.284006
2021-09-12 17:08:10.806038 : Epoch 10, Batch    337, Loss  0.862503, Average Loss  0.832174, Time  0.245731
2021-09-12 17:08:15.763833 : Epoch 10, Batch    338, Loss  0.852967, Average Loss  0.832267, Time  0.317316
2021-09-12 17:08:20.724773 : Epoch 10, Batch    339, Loss  0.825895, Average Loss  0.832143, Time  0.403379
2021-09-12 17:08:27.507953 : Epoch 10, Batch    340, Loss  0.836488, Average Loss  0.832049, Time  0.378241
2021-09-12 17:08:31.421043 : Epoch 10, Batch    341, Loss  0.828360, Average Loss  0.832094, Time  0.255709
2021-09-12 17:08:36.672440 : Epoch 10, Batch    342, Loss  0.820981, Average Loss  0.832043, Time  0.320444
2021-09-12 17:08:43.388325 : Epoch 10, Batch    343, Loss  0.827916, Average Loss  0.831935, Time  0.321807
2021-09-12 17:08:49.256161 : Epoch 10, Batch    344, Loss  0.821830, Average Loss  0.831957, Time  0.387339
2021-09-12 17:08:53.444265 : Epoch 10, Batch    345, Loss  0.849727, Average Loss  0.832056, Time  0.281262
2021-09-12 17:08:56.671266 : Epoch 10, Batch    346, Loss  0.826629, Average Loss  0.832015, Time  0.288339
2021-09-12 17:09:03.068818 : Epoch 10, Batch    347, Loss  0.832965, Average Loss  0.832093, Time  0.340124
2021-09-12 17:09:07.045861 : Epoch 10, Batch    348, Loss  0.818777, Average Loss  0.831925, Time  0.310206
2021-09-12 17:09:12.389218 : Epoch 10, Batch    349, Loss  0.826280, Average Loss  0.831923, Time  0.236157
2021-09-12 17:09:17.745231 : Epoch 10, Batch    350, Loss  0.822272, Average Loss  0.831885, Time  0.364177
2021-09-12 17:09:22.753146 : Epoch 10, Batch    351, Loss  0.834061, Average Loss  0.831885, Time  0.307950
2021-09-12 17:09:27.378748 : Epoch 10, Batch    352, Loss  0.823713, Average Loss  0.831844, Time  0.307945
2021-09-12 17:09:31.509838 : Epoch 10, Batch    353, Loss  0.816285, Average Loss  0.831724, Time  0.327258
2021-09-12 17:09:35.929869 : Epoch 10, Batch    354, Loss  0.822355, Average Loss  0.831659, Time  0.308879
2021-09-12 17:09:41.730835 : Epoch 10, Batch    355, Loss  0.852656, Average Loss  0.831780, Time  0.329420
2021-09-12 17:09:48.060156 : Epoch 10, Batch    356, Loss  0.823513, Average Loss  0.831784, Time  0.295044
2021-09-12 17:09:52.474003 : Epoch 10, Batch    357, Loss  0.832354, Average Loss  0.831795, Time  0.334084
2021-09-12 17:09:55.623854 : Epoch 10, Batch    358, Loss  0.826962, Average Loss  0.831778, Time  0.294394
2021-09-12 17:09:58.869749 : Epoch 10, Batch    359, Loss  0.840574, Average Loss  0.831877, Time  0.236193
2021-09-12 17:10:02.714968 : Epoch 10, Batch    360, Loss  0.844269, Average Loss  0.831825, Time  0.260881
2021-09-12 17:10:06.841199 : Epoch 10, Batch    361, Loss  0.832235, Average Loss  0.831893, Time  0.389850
2021-09-12 17:10:10.603224 : Epoch 10, Batch    362, Loss  0.814324, Average Loss  0.831804, Time  0.236759
2021-09-12 17:10:14.698332 : Epoch 10, Batch    363, Loss  0.821047, Average Loss  0.831680, Time  0.302332
2021-09-12 17:10:19.207799 : Epoch 10, Batch    364, Loss  0.864895, Average Loss  0.831845, Time  0.269581
2021-09-12 17:10:23.995087 : Epoch 10, Batch    365, Loss  0.834128, Average Loss  0.831863, Time  0.288974
2021-09-12 17:10:27.626839 : Epoch 10, Batch    366, Loss  0.848791, Average Loss  0.831894, Time  0.314397
2021-09-12 17:10:33.266303 : Epoch 10, Batch    367, Loss  0.828114, Average Loss  0.831753, Time  0.400321
2021-09-12 17:10:39.773818 : Epoch 10, Batch    368, Loss  0.829567, Average Loss  0.831661, Time  0.307227
2021-09-12 17:10:44.168438 : Epoch 10, Batch    369, Loss  0.825718, Average Loss  0.831690, Time  0.310852
2021-09-12 17:10:49.997121 : Epoch 10, Batch    370, Loss  0.807563, Average Loss  0.831610, Time  0.266390
2021-09-12 17:10:54.250333 : Epoch 10, Batch    371, Loss  0.828165, Average Loss  0.831616, Time  0.338348
2021-09-12 17:11:00.635885 : Epoch 10, Batch    372, Loss  0.816530, Average Loss  0.831564, Time  0.489914
2021-09-12 17:11:06.151990 : Epoch 10, Batch    373, Loss  0.805028, Average Loss  0.831389, Time  0.352735
2021-09-12 17:11:14.625118 : Epoch 10, Batch    374, Loss  0.821039, Average Loss  0.831305, Time  0.318239
2021-09-12 17:11:18.789039 : Epoch 10, Batch    375, Loss  0.809953, Average Loss  0.831244, Time  0.274692
2021-09-12 17:11:26.439625 : Epoch 10, Batch    376, Loss  0.845962, Average Loss  0.831287, Time  0.343884
2021-09-12 17:11:34.411816 : Epoch 10, Batch    377, Loss  0.836007, Average Loss  0.831345, Time  0.355885
2021-09-12 17:11:38.982120 : Epoch 10, Batch    378, Loss  0.830318, Average Loss  0.831462, Time  0.240262
2021-09-12 17:11:44.398948 : Epoch 10, Batch    379, Loss  0.838519, Average Loss  0.831436, Time  0.281507
2021-09-12 17:11:47.833311 : Epoch 10, Batch    380, Loss  0.841602, Average Loss  0.831522, Time  0.243665
2021-09-12 17:11:53.456989 : Epoch 10, Batch    381, Loss  0.838339, Average Loss  0.831533, Time  0.356648
2021-09-12 17:11:59.539923 : Epoch 10, Batch    382, Loss  0.828775, Average Loss  0.831575, Time  0.401031
2021-09-12 17:12:04.345792 : Epoch 10, Batch    383, Loss  0.852030, Average Loss  0.831692, Time  0.331311
2021-09-12 17:12:10.322396 : Epoch 10, Batch    384, Loss  0.844908, Average Loss  0.831714, Time  0.243608
2021-09-12 17:12:18.624830 : Epoch 10, Batch    385, Loss  0.825799, Average Loss  0.831726, Time  0.298376
2021-09-12 17:12:25.392215 : Epoch 10, Batch    386, Loss  0.844485, Average Loss  0.831768, Time  0.409080
2021-09-12 17:12:30.357198 : Epoch 10, Batch    387, Loss  0.817877, Average Loss  0.831675, Time  0.308342
2021-09-12 17:12:32.997318 : Epoch 10, Batch    388, Loss  0.840891, Average Loss  0.831823, Time  0.269817
2021-09-12 17:12:38.211976 : Epoch 10, Batch    389, Loss  0.827893, Average Loss  0.831788, Time  0.293076
2021-09-12 17:12:43.921981 : Epoch 10, Batch    390, Loss  0.828131, Average Loss  0.831673, Time  0.447512
2021-09-12 17:12:48.215119 : Epoch 10, Batch    391, Loss  0.825443, Average Loss  0.831701, Time  0.305326
2021-09-12 17:12:52.490781 : Epoch 10, Batch    392, Loss  0.835699, Average Loss  0.831751, Time  0.318594
2021-09-12 17:12:58.751810 : Epoch 10, Batch    393, Loss  0.822742, Average Loss  0.831725, Time  0.334629
2021-09-12 17:13:03.525163 : Epoch 10, Batch    394, Loss  0.834333, Average Loss  0.831819, Time  0.243204
2021-09-12 17:13:06.521811 : Epoch 10, Batch    395, Loss  0.815775, Average Loss  0.831746, Time  0.277229
2021-09-12 17:13:13.092006 : Epoch 10, Batch    396, Loss  0.838287, Average Loss  0.831854, Time  0.305122
2021-09-12 17:21:10.013729 : CheckPoint: Validation Loss  0.00028761, Best Loss  0.00028303
2021-09-12 17:21:14.562217 : Epoch 10, Batch    397, Loss  0.848385, Average Loss  0.832152, Time  0.416999
2021-09-12 17:21:19.451319 : Epoch 10, Batch    398, Loss  0.808640, Average Loss  0.832027, Time  0.434240
2021-09-12 17:21:27.341240 : Epoch 10, Batch    399, Loss  0.812613, Average Loss  0.831970, Time  0.488065
2021-09-12 17:21:31.270454 : Epoch 10, Batch    400, Loss  0.831396, Average Loss  0.831957, Time  0.338238
2021-09-12 17:21:36.622712 : Epoch 10, Batch    401, Loss  0.843469, Average Loss  0.832122, Time  0.246024
2021-09-12 17:21:42.595313 : Epoch 10, Batch    402, Loss  0.820373, Average Loss  0.832050, Time  0.353573
2021-09-12 17:21:46.898886 : Epoch 10, Batch    403, Loss  0.807444, Average Loss  0.831822, Time  0.236027
2021-09-12 17:21:51.522210 : Epoch 10, Batch    404, Loss  0.807590, Average Loss  0.831675, Time  0.246909
2021-09-12 17:21:57.944030 : Epoch 10, Batch    405, Loss  0.838936, Average Loss  0.831719, Time  0.349629
2021-09-12 17:22:02.470310 : Epoch 10, Batch    406, Loss  0.836101, Average Loss  0.831762, Time  0.270692
2021-09-12 17:22:10.095111 : Epoch 10, Batch    407, Loss  0.837471, Average Loss  0.831821, Time  0.363065
2021-09-12 17:22:14.943350 : Epoch 10, Batch    408, Loss  0.815733, Average Loss  0.831756, Time  0.480272
2021-09-12 17:22:21.264819 : Epoch 10, Batch    409, Loss  0.859135, Average Loss  0.831902, Time  0.352398
2021-09-12 17:22:26.515560 : Epoch 10, Batch    410, Loss  0.826124, Average Loss  0.831863, Time  0.276721
2021-09-12 17:22:32.523954 : Epoch 10, Batch    411, Loss  0.835084, Average Loss  0.831808, Time  0.326106
2021-09-12 17:22:38.828859 : Epoch 10, Batch    412, Loss  0.827580, Average Loss  0.831817, Time  0.348819
2021-09-12 17:22:44.408828 : Epoch 10, Batch    413, Loss  0.830096, Average Loss  0.831849, Time  0.236267
2021-09-12 17:22:50.638321 : Epoch 10, Batch    414, Loss  0.847759, Average Loss  0.831946, Time  0.263721
2021-09-12 17:22:54.659108 : Epoch 10, Batch    415, Loss  0.831750, Average Loss  0.831944, Time  0.375459
2021-09-12 17:22:57.571316 : Epoch 10, Batch    416, Loss  0.842387, Average Loss  0.831906, Time  0.303882
2021-09-12 17:23:02.495338 : Epoch 10, Batch    417, Loss  0.829851, Average Loss  0.831890, Time  0.258266
2021-09-12 17:23:06.928785 : Epoch 10, Batch    418, Loss  0.836069, Average Loss  0.831926, Time  0.288298
2021-09-12 17:23:13.527338 : Epoch 10, Batch    419, Loss  0.813100, Average Loss  0.831749, Time  0.321216
2021-09-12 17:23:18.595315 : Epoch 10, Batch    420, Loss  0.819046, Average Loss  0.831668, Time  0.276916
2021-09-12 17:23:21.448210 : Epoch 10, Batch    421, Loss  0.817980, Average Loss  0.831649, Time  0.363286
2021-09-12 17:23:27.050931 : Epoch 10, Batch    422, Loss  0.827155, Average Loss  0.831626, Time  0.328322
2021-09-12 17:23:33.282830 : Epoch 10, Batch    423, Loss  0.827851, Average Loss  0.831527, Time  0.423403
2021-09-12 17:23:37.462810 : Epoch 10, Batch    424, Loss  0.834863, Average Loss  0.831657, Time  0.267147
2021-09-12 17:23:44.685846 : Epoch 10, Batch    425, Loss  0.814815, Average Loss  0.831471, Time  0.269146
2021-09-12 17:23:48.866290 : Epoch 10, Batch    426, Loss  0.844394, Average Loss  0.831480, Time  0.344464
2021-09-12 17:23:51.683869 : Epoch 10, Batch    427, Loss  0.840119, Average Loss  0.831583, Time  0.246008
2021-09-12 17:23:56.631275 : Epoch 10, Batch    428, Loss  0.852004, Average Loss  0.831694, Time  0.359159
2021-09-12 17:24:03.770811 : Epoch 10, Batch    429, Loss  0.844436, Average Loss  0.831738, Time  0.242201
2021-09-12 17:24:07.843965 : Epoch 10, Batch    430, Loss  0.842988, Average Loss  0.831852, Time  0.273363
2021-09-12 17:24:11.860786 : Epoch 10, Batch    431, Loss  0.805266, Average Loss  0.831730, Time  0.236740
2021-09-12 17:24:14.771804 : Epoch 10, Batch    432, Loss  0.830984, Average Loss  0.831663, Time  0.291369
2021-09-12 17:24:20.411324 : Epoch 10, Batch    433, Loss  0.835741, Average Loss  0.831828, Time  0.364521
2021-09-12 17:24:23.406381 : Epoch 10, Batch    434, Loss  0.829286, Average Loss  0.831773, Time  0.313983
2021-09-12 17:24:32.375635 : Epoch 10, Batch    435, Loss  0.826159, Average Loss  0.831825, Time  0.364403
2021-09-12 17:24:39.578300 : Epoch 10, Batch    436, Loss  0.818538, Average Loss  0.831832, Time  0.319077
2021-09-12 17:24:44.935328 : Epoch 10, Batch    437, Loss  0.821325, Average Loss  0.831810, Time  0.238317
2021-09-12 17:24:52.264120 : Epoch 10, Batch    438, Loss  0.855856, Average Loss  0.831999, Time  0.301275
2021-09-12 17:24:58.460088 : Epoch 10, Batch    439, Loss  0.838625, Average Loss  0.832019, Time  0.318095
2021-09-12 17:25:04.737924 : Epoch 10, Batch    440, Loss  0.810195, Average Loss  0.831943, Time  0.304661
2021-09-12 17:25:10.131905 : Epoch 10, Batch    441, Loss  0.834530, Average Loss  0.831848, Time  0.317648
2021-09-12 17:25:13.868556 : Epoch 10, Batch    442, Loss  0.840931, Average Loss  0.831990, Time  0.254344
2021-09-12 17:25:18.046886 : Epoch 10, Batch    443, Loss  0.830254, Average Loss  0.831964, Time  0.279368
2021-09-12 17:25:22.017126 : Epoch 10, Batch    444, Loss  0.835333, Average Loss  0.832123, Time  0.256741
2021-09-12 17:25:26.411756 : Epoch 10, Batch    445, Loss  0.811348, Average Loss  0.832075, Time  0.260497
2021-09-12 17:25:30.656089 : Epoch 10, Batch    446, Loss  0.841037, Average Loss  0.832065, Time  0.279235
2021-09-12 17:25:36.024294 : Epoch 10, Batch    447, Loss  0.836596, Average Loss  0.832045, Time  0.287593
2021-09-12 17:25:41.069782 : Epoch 10, Batch    448, Loss  0.807979, Average Loss  0.831870, Time  0.333983
2021-09-12 17:25:48.413859 : Epoch 10, Batch    449, Loss  0.832241, Average Loss  0.831892, Time  0.480566
2021-09-12 17:25:52.411187 : Epoch 10, Batch    450, Loss  0.850395, Average Loss  0.831956, Time  0.284768
2021-09-12 17:25:58.611753 : Epoch 10, Batch    451, Loss  0.821093, Average Loss  0.831896, Time  0.236224
2021-09-12 17:26:05.204326 : Epoch 10, Batch    452, Loss  0.803622, Average Loss  0.831724, Time  0.390323
2021-09-12 17:26:12.271304 : Epoch 10, Batch    453, Loss  0.831617, Average Loss  0.831751, Time  0.376883
2021-09-12 17:26:18.079820 : Epoch 10, Batch    454, Loss  0.814216, Average Loss  0.831656, Time  0.245631
2021-09-12 17:26:23.634122 : Epoch 10, Batch    455, Loss  0.810102, Average Loss  0.831613, Time  0.270420
2021-09-12 17:26:27.952593 : Epoch 10, Batch    456, Loss  0.830768, Average Loss  0.831581, Time  0.265616
2021-09-12 17:26:34.392248 : Epoch 10, Batch    457, Loss  0.857403, Average Loss  0.831676, Time  0.252537
2021-09-12 17:26:37.827719 : Epoch 10, Batch    458, Loss  0.839053, Average Loss  0.831755, Time  0.258024
2021-09-12 17:26:43.074207 : Epoch 10, Batch    459, Loss  0.833577, Average Loss  0.831730, Time  0.265355
2021-09-12 17:26:48.007917 : Epoch 10, Batch    460, Loss  0.857621, Average Loss  0.831895, Time  0.334953
2021-09-12 17:26:50.944533 : Epoch 10, Batch    461, Loss  0.813420, Average Loss  0.831720, Time  0.281831
2021-09-12 17:26:56.480567 : Epoch 10, Batch    462, Loss  0.819701, Average Loss  0.831612, Time  0.329334
2021-09-12 17:27:03.108958 : Epoch 10, Batch    463, Loss  0.848836, Average Loss  0.831683, Time  0.382428
2021-09-12 17:27:10.264245 : Epoch 10, Batch    464, Loss  0.842382, Average Loss  0.831766, Time  0.318398
2021-09-12 17:27:13.509291 : Epoch 10, Batch    465, Loss  0.825849, Average Loss  0.831702, Time  0.300878
2021-09-12 17:27:18.774341 : Epoch 10, Batch    466, Loss  0.838294, Average Loss  0.831783, Time  0.309409
2021-09-12 17:27:24.455049 : Epoch 10, Batch    467, Loss  0.849872, Average Loss  0.831880, Time  0.236480
2021-09-12 17:27:28.898045 : Epoch 10, Batch    468, Loss  0.821210, Average Loss  0.831862, Time  0.342760
2021-09-12 17:27:34.203821 : Epoch 10, Batch    469, Loss  0.831059, Average Loss  0.831864, Time  0.322620
2021-09-12 17:27:39.291029 : Epoch 10, Batch    470, Loss  0.817503, Average Loss  0.831898, Time  0.269894
2021-09-12 17:27:43.828307 : Epoch 10, Batch    471, Loss  0.838633, Average Loss  0.831937, Time  0.295610
2021-09-12 17:27:50.443076 : Epoch 10, Batch    472, Loss  0.828290, Average Loss  0.831996, Time  0.251550
2021-09-12 17:27:56.134098 : Epoch 10, Batch    473, Loss  0.828065, Average Loss  0.832001, Time  0.270916
2021-09-12 17:28:02.427433 : Epoch 10, Batch    474, Loss  0.851786, Average Loss  0.832049, Time  0.251557
2021-09-12 17:28:07.594086 : Epoch 10, Batch    475, Loss  0.824016, Average Loss  0.831945, Time  0.236347
2021-09-12 17:28:11.668196 : Epoch 10, Batch    476, Loss  0.831037, Average Loss  0.831992, Time  0.359869
2021-09-12 17:28:16.226106 : Epoch 10, Batch    477, Loss  0.829932, Average Loss  0.831974, Time  0.236718
2021-09-12 17:28:21.664883 : Epoch 10, Batch    478, Loss  0.836327, Average Loss  0.832005, Time  0.243280
2021-09-12 17:28:25.524042 : Epoch 10, Batch    479, Loss  0.843579, Average Loss  0.832041, Time  0.271605
2021-09-12 17:28:28.598525 : Epoch 10, Batch    480, Loss  0.793357, Average Loss  0.831875, Time  0.246282
2021-09-12 17:28:35.453026 : Epoch 10, Batch    481, Loss  0.789417, Average Loss  0.831544, Time  0.290554
2021-09-12 17:28:41.370808 : Epoch 10, Batch    482, Loss  0.842436, Average Loss  0.831532, Time  0.334015
2021-09-12 17:28:46.952314 : Epoch 10, Batch    483, Loss  0.810059, Average Loss  0.831482, Time  0.282741
2021-09-12 17:28:52.822059 : Epoch 10, Batch    484, Loss  0.836661, Average Loss  0.831474, Time  0.290647
2021-09-12 17:28:57.258883 : Epoch 10, Batch    485, Loss  0.814930, Average Loss  0.831470, Time  0.282735
2021-09-12 17:29:04.472145 : Epoch 10, Batch    486, Loss  0.819052, Average Loss  0.831414, Time  0.328405
2021-09-12 17:29:08.975935 : Epoch 10, Batch    487, Loss  0.827426, Average Loss  0.831390, Time  0.295356
2021-09-12 17:29:17.141852 : Epoch 10, Batch    488, Loss  0.837621, Average Loss  0.831372, Time  0.375228
2021-09-12 17:29:23.099346 : Epoch 10, Batch    489, Loss  0.841511, Average Loss  0.831344, Time  0.337048
2021-09-12 17:29:30.310610 : Epoch 10, Batch    490, Loss  0.807495, Average Loss  0.831249, Time  0.361284
2021-09-12 17:29:34.237838 : Epoch 10, Batch    491, Loss  0.812030, Average Loss  0.831102, Time  0.315801
2021-09-12 17:29:39.005873 : Epoch 10, Batch    492, Loss  0.815121, Average Loss  0.831105, Time  0.236567
2021-09-12 17:29:44.619168 : Epoch 10, Batch    493, Loss  0.835668, Average Loss  0.831081, Time  0.320007
2021-09-12 17:29:50.510770 : Epoch 10, Batch    494, Loss  0.803991, Average Loss  0.830935, Time  0.324838
2021-09-12 17:29:56.711950 : Epoch 10, Batch    495, Loss  0.836115, Average Loss  0.831058, Time  0.395767
2021-09-12 17:30:00.240611 : Epoch 10, Batch    496, Loss  0.843422, Average Loss  0.831008, Time  0.278667
2021-09-12 17:38:01.239733 : CheckPoint: Validation Loss  0.00027575, Best Loss  0.00027575
2021-09-12 17:38:01.277584 : Best Model Updated
2021-09-12 17:38:06.066161 : Epoch 10, Batch    497, Loss  0.811514, Average Loss  0.830935, Time  0.281683
2021-09-12 17:38:10.490806 : Epoch 10, Batch    498, Loss  0.816787, Average Loss  0.830840, Time  0.236198
2021-09-12 17:38:15.745861 : Epoch 10, Batch    499, Loss  0.835928, Average Loss  0.830857, Time  0.280327
2021-09-12 17:38:18.689237 : Epoch 10, Batch    500, Loss  0.850495, Average Loss  0.830895, Time  0.258589
2021-09-12 17:38:23.184244 : Epoch 10, Batch    501, Loss  0.821107, Average Loss  0.830848, Time  0.257292
2021-09-12 17:38:27.808857 : Epoch 10, Batch    502, Loss  0.792828, Average Loss  0.830660, Time  0.342784
2021-09-12 17:38:31.766839 : Epoch 10, Batch    503, Loss  0.818945, Average Loss  0.830545, Time  0.344074
2021-09-12 17:38:35.954551 : Epoch 10, Batch    504, Loss  0.830905, Average Loss  0.830548, Time  0.245756
2021-09-12 17:38:40.808224 : Epoch 10, Batch    505, Loss  0.809098, Average Loss  0.830369, Time  0.287322
2021-09-12 17:38:46.270930 : Epoch 10, Batch    506, Loss  0.816839, Average Loss  0.830281, Time  0.329229
2021-09-12 17:38:50.910103 : Epoch 10, Batch    507, Loss  0.830847, Average Loss  0.830196, Time  0.279795
2021-09-12 17:38:55.839809 : Epoch 10, Batch    508, Loss  0.837013, Average Loss  0.830157, Time  0.282221
2021-09-12 17:39:00.049527 : Epoch 10, Batch    509, Loss  0.783881, Average Loss  0.829935, Time  0.279768
2021-09-12 17:39:05.494339 : Epoch 10, Batch    510, Loss  0.813089, Average Loss  0.829800, Time  0.331086
2021-09-12 17:39:10.888098 : Epoch 10, Batch    511, Loss  0.823926, Average Loss  0.829709, Time  0.270126
2021-09-12 17:39:13.865174 : Epoch 10, Batch    512, Loss  0.829500, Average Loss  0.829675, Time  0.322435
2021-09-12 17:39:18.328111 : Epoch 10, Batch    513, Loss  0.824707, Average Loss  0.829590, Time  0.256712
2021-09-12 17:39:22.391314 : Epoch 10, Batch    514, Loss  0.845614, Average Loss  0.829615, Time  0.307781
2021-09-12 17:39:28.183230 : Epoch 10, Batch    515, Loss  0.816712, Average Loss  0.829590, Time  0.316836
2021-09-12 17:39:35.006819 : Epoch 10, Batch    516, Loss  0.807783, Average Loss  0.829449, Time  0.303787
2021-09-12 17:39:41.601309 : Epoch 10, Batch    517, Loss  0.810118, Average Loss  0.829256, Time  0.290449
2021-09-12 17:39:44.566178 : Epoch 10, Batch    518, Loss  0.850892, Average Loss  0.829345, Time  0.260752
2021-09-12 17:39:49.463943 : Epoch 10, Batch    519, Loss  0.838645, Average Loss  0.829335, Time  0.245400
2021-09-12 17:39:56.247958 : Epoch 10, Batch    520, Loss  0.831982, Average Loss  0.829371, Time  0.262634
2021-09-12 17:40:00.651891 : Epoch 10, Batch    521, Loss  0.845668, Average Loss  0.829499, Time  0.351411
2021-09-12 17:40:05.161826 : Epoch 10, Batch    522, Loss  0.837105, Average Loss  0.829464, Time  0.242902
2021-09-12 17:40:08.532175 : Epoch 10, Batch    523, Loss  0.828956, Average Loss  0.829346, Time  0.236035
2021-09-12 17:40:12.698126 : Epoch 10, Batch    524, Loss  0.822264, Average Loss  0.829269, Time  0.236242
2021-09-12 17:40:17.105181 : Epoch 10, Batch    525, Loss  0.804346, Average Loss  0.829116, Time  0.236564
2021-09-12 17:40:21.091302 : Epoch 10, Batch    526, Loss  0.815888, Average Loss  0.828977, Time  0.320637
2021-09-12 17:40:26.182754 : Epoch 10, Batch    527, Loss  0.838972, Average Loss  0.828949, Time  0.236715
2021-09-12 17:40:30.519320 : Epoch 10, Batch    528, Loss  0.816433, Average Loss  0.828759, Time  0.270372
2021-09-12 17:40:35.859838 : Epoch 10, Batch    529, Loss  0.827631, Average Loss  0.828847, Time  0.301726
2021-09-12 17:40:41.927855 : Epoch 10, Batch    530, Loss  0.810008, Average Loss  0.828724, Time  0.299925
2021-09-12 17:40:46.372794 : Epoch 10, Batch    531, Loss  0.848468, Average Loss  0.828750, Time  0.312578
2021-09-12 17:40:51.608557 : Epoch 10, Batch    532, Loss  0.821178, Average Loss  0.828783, Time  0.281236
2021-09-12 17:40:57.395837 : Epoch 10, Batch    533, Loss  0.823715, Average Loss  0.828763, Time  0.264171
2021-09-12 17:41:01.943411 : Epoch 10, Batch    534, Loss  0.812254, Average Loss  0.828770, Time  0.236165
2021-09-12 17:41:05.938771 : Epoch 10, Batch    535, Loss  0.826553, Average Loss  0.828797, Time  0.257388
2021-09-12 17:41:09.684239 : Epoch 10, Batch    536, Loss  0.832842, Average Loss  0.828816, Time  0.239005
2021-09-12 17:41:15.489072 : Epoch 10, Batch    537, Loss  0.817759, Average Loss  0.828592, Time  0.312814
2021-09-12 17:41:19.051228 : Epoch 10, Batch    538, Loss  0.818846, Average Loss  0.828422, Time  0.271959
2021-09-12 17:41:23.508795 : Epoch 10, Batch    539, Loss  0.837878, Average Loss  0.828482, Time  0.236709
2021-09-12 17:41:29.682313 : Epoch 10, Batch    540, Loss  0.835733, Average Loss  0.828478, Time  0.317077
2021-09-12 17:41:36.486796 : Epoch 10, Batch    541, Loss  0.813435, Average Loss  0.828403, Time  0.255652
2021-09-12 17:41:43.267183 : Epoch 10, Batch    542, Loss  0.803132, Average Loss  0.828314, Time  0.238584
2021-09-12 17:41:50.873987 : Epoch 10, Batch    543, Loss  0.834823, Average Loss  0.828349, Time  0.305928
2021-09-12 17:41:55.582731 : Epoch 10, Batch    544, Loss  0.823847, Average Loss  0.828359, Time  0.254281
2021-09-12 17:41:59.268461 : Epoch 10, Batch    545, Loss  0.828358, Average Loss  0.828252, Time  0.255885
2021-09-12 17:42:05.660473 : Epoch 10, Batch    546, Loss  0.806258, Average Loss  0.828150, Time  0.278891
2021-09-12 17:42:11.650294 : Epoch 10, Batch    547, Loss  0.816628, Average Loss  0.828068, Time  0.316788
2021-09-12 17:42:17.321449 : Epoch 10, Batch    548, Loss  0.826465, Average Loss  0.828107, Time  0.266247
2021-09-12 17:42:24.530859 : Epoch 10, Batch    549, Loss  0.825466, Average Loss  0.828103, Time  0.290105
2021-09-12 17:42:27.772156 : Epoch 10, Batch    550, Loss  0.849069, Average Loss  0.828237, Time  0.332222
2021-09-12 17:42:32.536890 : Epoch 10, Batch    551, Loss  0.815093, Average Loss  0.828142, Time  0.368789
2021-09-12 17:42:36.042450 : Epoch 10, Batch    552, Loss  0.820010, Average Loss  0.828123, Time  0.252350
2021-09-12 17:42:38.927794 : Epoch 10, Batch    553, Loss  0.820451, Average Loss  0.828144, Time  0.287099
2021-09-12 17:42:43.722257 : Epoch 10, Batch    554, Loss  0.820935, Average Loss  0.828137, Time  0.244360
2021-09-12 17:42:50.340745 : Epoch 10, Batch    555, Loss  0.846246, Average Loss  0.828105, Time  0.341366
2021-09-12 17:42:56.159788 : Epoch 10, Batch    556, Loss  0.815706, Average Loss  0.828066, Time  0.288130
2021-09-12 17:43:00.899206 : Epoch 10, Batch    557, Loss  0.849216, Average Loss  0.828150, Time  0.280222
2021-09-12 17:43:06.455281 : Epoch 10, Batch    558, Loss  0.816472, Average Loss  0.828098, Time  0.296015
2021-09-12 17:43:12.020860 : Epoch 10, Batch    559, Loss  0.825006, Average Loss  0.828020, Time  0.302713
2021-09-12 17:43:17.466748 : Epoch 10, Batch    560, Loss  0.814772, Average Loss  0.827872, Time  0.412550
2021-09-12 17:43:22.485754 : Epoch 10, Batch    561, Loss  0.827330, Average Loss  0.827848, Time  0.269214
2021-09-12 17:43:25.069304 : Epoch 10, Batch    562, Loss  0.830329, Average Loss  0.827928, Time  0.236469
2021-09-12 17:43:29.773865 : Epoch 10, Batch    563, Loss  0.825546, Average Loss  0.827950, Time  0.272686
2021-09-12 17:43:34.659949 : Epoch 10, Batch    564, Loss  0.832287, Average Loss  0.827787, Time  0.321150
2021-09-12 17:43:38.047130 : Epoch 10, Batch    565, Loss  0.828344, Average Loss  0.827758, Time  0.285808
2021-09-12 17:43:43.768215 : Epoch 10, Batch    566, Loss  0.831814, Average Loss  0.827674, Time  0.291256
2021-09-12 17:43:48.931755 : Epoch 10, Batch    567, Loss  0.845128, Average Loss  0.827759, Time  0.341915
2021-09-12 17:43:57.351040 : Epoch 10, Batch    568, Loss  0.831145, Average Loss  0.827766, Time  0.307914
2021-09-12 17:44:03.378358 : Epoch 10, Batch    569, Loss  0.839161, Average Loss  0.827834, Time  0.285443
2021-09-12 17:44:08.604801 : Epoch 10, Batch    570, Loss  0.819536, Average Loss  0.827894, Time  0.309355
2021-09-12 17:44:13.422921 : Epoch 10, Batch    571, Loss  0.834607, Average Loss  0.827926, Time  0.399424
2021-09-12 17:44:20.891808 : Epoch 10, Batch    572, Loss  0.841622, Average Loss  0.828051, Time  0.275492
2021-09-12 17:44:27.188770 : Epoch 10, Batch    573, Loss  0.833976, Average Loss  0.828196, Time  0.301816
2021-09-12 17:44:34.060833 : Epoch 10, Batch    574, Loss  0.818358, Average Loss  0.828183, Time  0.345100
2021-09-12 17:44:40.619123 : Epoch 10, Batch    575, Loss  0.825706, Average Loss  0.828261, Time  0.258311
2021-09-12 17:44:48.218118 : Epoch 10, Batch    576, Loss  0.824918, Average Loss  0.828156, Time  0.309878
2021-09-12 17:44:56.209024 : Epoch 10, Batch    577, Loss  0.837207, Average Loss  0.828162, Time  0.334263
2021-09-12 17:45:02.422817 : Epoch 10, Batch    578, Loss  0.831069, Average Loss  0.828166, Time  0.396106
2021-09-12 17:45:05.867258 : Epoch 10, Batch    579, Loss  0.843607, Average Loss  0.828191, Time  0.299068
2021-09-12 17:45:12.353789 : Epoch 10, Batch    580, Loss  0.821107, Average Loss  0.828089, Time  0.316034
2021-09-12 17:45:20.216257 : Epoch 10, Batch    581, Loss  0.804376, Average Loss  0.827919, Time  0.339467
2021-09-12 17:45:24.616754 : Epoch 10, Batch    582, Loss  0.826563, Average Loss  0.827908, Time  0.311638
2021-09-12 17:45:29.358795 : Epoch 10, Batch    583, Loss  0.826398, Average Loss  0.827780, Time  0.363011
2021-09-12 17:45:35.765323 : Epoch 10, Batch    584, Loss  0.834800, Average Loss  0.827729, Time  0.355065
2021-09-12 17:45:39.128334 : Epoch 10, Batch    585, Loss  0.820563, Average Loss  0.827703, Time  0.272846
2021-09-12 17:45:46.516120 : Epoch 10, Batch    586, Loss  0.825791, Average Loss  0.827610, Time  0.276288
2021-09-12 17:45:50.445828 : Epoch 10, Batch    587, Loss  0.838518, Average Loss  0.827713, Time  0.330118
2021-09-12 17:45:56.718153 : Epoch 10, Batch    588, Loss  0.835757, Average Loss  0.827687, Time  0.289661
2021-09-12 17:46:02.434956 : Epoch 10, Batch    589, Loss  0.809081, Average Loss  0.827593, Time  0.333546
2021-09-12 17:46:07.195557 : Epoch 10, Batch    590, Loss  0.820927, Average Loss  0.827557, Time  0.280999
2021-09-12 17:46:13.123923 : Epoch 10, Batch    591, Loss  0.814383, Average Loss  0.827502, Time  0.262215
2021-09-12 17:46:18.179338 : Epoch 10, Batch    592, Loss  0.839615, Average Loss  0.827521, Time  0.287489
2021-09-12 17:46:24.336256 : Epoch 10, Batch    593, Loss  0.820808, Average Loss  0.827512, Time  0.260030
2021-09-12 17:46:29.181147 : Epoch 10, Batch    594, Loss  0.790654, Average Loss  0.827293, Time  0.236326
2021-09-12 17:46:35.590094 : Epoch 10, Batch    595, Loss  0.819239, Average Loss  0.827311, Time  0.333318
2021-09-12 17:46:40.263833 : Epoch 10, Batch    596, Loss  0.840314, Average Loss  0.827321, Time  0.271479
2021-09-12 17:54:20.274722 : CheckPoint: Validation Loss  0.00029262, Best Loss  0.00027575
2021-09-12 17:54:23.342091 : Epoch 10, Batch    597, Loss  0.814498, Average Loss  0.827151, Time  0.237735
2021-09-12 17:54:27.523296 : Epoch 10, Batch    598, Loss  0.832556, Average Loss  0.827271, Time  0.319792
2021-09-12 17:54:31.614840 : Epoch 10, Batch    599, Loss  0.817943, Average Loss  0.827298, Time  0.251971
2021-09-12 17:54:38.796277 : Epoch 10, Batch    600, Loss  0.808137, Average Loss  0.827181, Time  0.396142
2021-09-12 17:54:44.537848 : Epoch 10, Batch    601, Loss  0.803375, Average Loss  0.826981, Time  0.306482
2021-09-12 17:54:50.274501 : Epoch 10, Batch    602, Loss  0.835571, Average Loss  0.827057, Time  0.253887
2021-09-12 17:54:57.732829 : Epoch 10, Batch    603, Loss  0.827625, Average Loss  0.827158, Time  0.367517
2021-09-12 17:55:03.453765 : Epoch 10, Batch    604, Loss  0.809908, Average Loss  0.827169, Time  0.265808
2021-09-12 17:55:10.218319 : Epoch 10, Batch    605, Loss  0.816820, Average Loss  0.827059, Time  0.322725
2021-09-12 17:55:13.973555 : Epoch 10, Batch    606, Loss  0.842145, Average Loss  0.827089, Time  0.236680
2021-09-12 17:55:20.594799 : Epoch 10, Batch    607, Loss  0.829553, Average Loss  0.827049, Time  0.329244
2021-09-12 17:55:25.316397 : Epoch 10, Batch    608, Loss  0.847821, Average Loss  0.827210, Time  0.294920
2021-09-12 17:55:30.541791 : Epoch 10, Batch    609, Loss  0.816213, Average Loss  0.826995, Time  0.321110
2021-09-12 17:55:36.446108 : Epoch 10, Batch    610, Loss  0.833374, Average Loss  0.827031, Time  0.275374
2021-09-12 17:55:40.143035 : Epoch 10, Batch    611, Loss  0.842801, Average Loss  0.827070, Time  0.301270
2021-09-12 17:55:44.365228 : Epoch 10, Batch    612, Loss  0.835645, Average Loss  0.827110, Time  0.292501
2021-09-12 17:55:50.281003 : Epoch 10, Batch    613, Loss  0.830483, Average Loss  0.827112, Time  0.259285
2021-09-12 17:55:56.094136 : Epoch 10, Batch    614, Loss  0.825074, Average Loss  0.826999, Time  0.303124
2021-09-12 17:55:59.782758 : Epoch 10, Batch    615, Loss  0.820172, Average Loss  0.826941, Time  0.264148
2021-09-12 17:56:02.784211 : Epoch 10, Batch    616, Loss  0.848422, Average Loss  0.826971, Time  0.240565
2021-09-12 17:56:07.699921 : Epoch 10, Batch    617, Loss  0.829934, Average Loss  0.826972, Time  0.316744
2021-09-12 17:56:12.478865 : Epoch 10, Batch    618, Loss  0.824294, Average Loss  0.826913, Time  0.304698
2021-09-12 17:56:16.996734 : Epoch 10, Batch    619, Loss  0.825501, Average Loss  0.826975, Time  0.235846
2021-09-12 17:56:19.901810 : Epoch 10, Batch    620, Loss  0.837768, Average Loss  0.827068, Time  0.252584
2021-09-12 17:56:26.720825 : Epoch 10, Batch    621, Loss  0.839906, Average Loss  0.827178, Time  0.299026
2021-09-12 17:56:29.715576 : Epoch 10, Batch    622, Loss  0.801438, Average Loss  0.827049, Time  0.296965
2021-09-12 17:56:33.478803 : Epoch 10, Batch    623, Loss  0.825498, Average Loss  0.827038, Time  0.295031
2021-09-12 17:56:37.211315 : Epoch 10, Batch    624, Loss  0.823778, Average Loss  0.826982, Time  0.273319
2021-09-12 17:56:41.982844 : Epoch 10, Batch    625, Loss  0.826311, Average Loss  0.827040, Time  0.370932
2021-09-12 17:56:47.651184 : Epoch 10, Batch    626, Loss  0.806683, Average Loss  0.826851, Time  0.340953
2021-09-12 17:56:51.447246 : Epoch 10, Batch    627, Loss  0.825891, Average Loss  0.826780, Time  0.298804
2021-09-12 17:56:55.241254 : Epoch 10, Batch    628, Loss  0.839023, Average Loss  0.826715, Time  0.244302
2021-09-12 17:57:01.191026 : Epoch 10, Batch    629, Loss  0.823750, Average Loss  0.826612, Time  0.357692
2021-09-12 17:57:07.040418 : Epoch 10, Batch    630, Loss  0.814823, Average Loss  0.826471, Time  0.362003
2021-09-12 17:57:10.232084 : Epoch 10, Batch    631, Loss  0.805493, Average Loss  0.826472, Time  0.236895
2021-09-12 17:57:14.131261 : Epoch 10, Batch    632, Loss  0.821275, Average Loss  0.826423, Time  0.277895
2021-09-12 17:57:17.848089 : Epoch 10, Batch    633, Loss  0.807578, Average Loss  0.826283, Time  0.282080
2021-09-12 17:57:24.011045 : Epoch 10, Batch    634, Loss  0.820135, Average Loss  0.826237, Time  0.254223
2021-09-12 17:57:30.146130 : Epoch 10, Batch    635, Loss  0.818012, Average Loss  0.826196, Time  0.300601
2021-09-12 17:57:36.808775 : Epoch 10, Batch    636, Loss  0.818827, Average Loss  0.826197, Time  0.323570
2021-09-12 17:57:42.233832 : Epoch 10, Batch    637, Loss  0.837541, Average Loss  0.826279, Time  0.287818
2021-09-12 17:57:45.552295 : Epoch 10, Batch    638, Loss  0.827653, Average Loss  0.826138, Time  0.319952
2021-09-12 17:57:50.268566 : Epoch 10, Batch    639, Loss  0.793599, Average Loss  0.825912, Time  0.277355
2021-09-12 17:57:54.698705 : Epoch 10, Batch    640, Loss  0.831859, Average Loss  0.826021, Time  0.237664
2021-09-12 17:57:58.306277 : Epoch 10, Batch    641, Loss  0.839598, Average Loss  0.826046, Time  0.290214
2021-09-12 17:58:02.036961 : Epoch 10, Batch    642, Loss  0.834864, Average Loss  0.826016, Time  0.267041
2021-09-12 17:58:07.036835 : Epoch 10, Batch    643, Loss  0.838739, Average Loss  0.826058, Time  0.308369
2021-09-12 17:58:11.875284 : Epoch 10, Batch    644, Loss  0.805512, Average Loss  0.825909, Time  0.356493
2021-09-12 17:58:15.116183 : Epoch 10, Batch    645, Loss  0.840608, Average Loss  0.826055, Time  0.236448
2021-09-12 17:58:21.963298 : Epoch 10, Batch    646, Loss  0.826253, Average Loss  0.825981, Time  0.429566
2021-09-12 17:58:26.147825 : Epoch 10, Batch    647, Loss  0.845241, Average Loss  0.826025, Time  0.412422
2021-09-12 17:58:33.580805 : Epoch 10, Batch    648, Loss  0.827896, Average Loss  0.826124, Time  0.348121
2021-09-12 17:58:39.916977 : Epoch 10, Batch    649, Loss  0.818817, Average Loss  0.826057, Time  0.427761
2021-09-12 17:58:44.857033 : Epoch 10, Batch    650, Loss  0.822843, Average Loss  0.825919, Time  0.236281
2021-09-12 17:58:49.955903 : Epoch 10, Batch    651, Loss  0.812178, Average Loss  0.825875, Time  0.315786
2021-09-12 17:58:54.348867 : Epoch 10, Batch    652, Loss  0.817785, Average Loss  0.825946, Time  0.350661
2021-09-12 17:59:00.398012 : Epoch 10, Batch    653, Loss  0.849607, Average Loss  0.826036, Time  0.354366
2021-09-12 17:59:03.822915 : Epoch 10, Batch    654, Loss  0.812610, Average Loss  0.826028, Time  0.264784
2021-09-12 17:59:08.401737 : Epoch 10, Batch    655, Loss  0.826648, Average Loss  0.826110, Time  0.287944
2021-09-12 17:59:13.325744 : Epoch 10, Batch    656, Loss  0.802995, Average Loss  0.825971, Time  0.299917
2021-09-12 17:59:17.495243 : Epoch 10, Batch    657, Loss  0.843003, Average Loss  0.825899, Time  0.285892
2021-09-12 17:59:20.357288 : Epoch 10, Batch    658, Loss  0.835418, Average Loss  0.825881, Time  0.375611
2021-09-12 17:59:28.073267 : Epoch 10, Batch    659, Loss  0.821926, Average Loss  0.825823, Time  0.399070
2021-09-12 17:59:34.831950 : Epoch 10, Batch    660, Loss  0.821099, Average Loss  0.825640, Time  0.273810
2021-09-12 17:59:37.849956 : Epoch 10, Batch    661, Loss  0.862147, Average Loss  0.825884, Time  0.265877
2021-09-12 17:59:43.965302 : Epoch 10, Batch    662, Loss  0.828701, Average Loss  0.825929, Time  0.269554
2021-09-12 17:59:48.281478 : Epoch 10, Batch    663, Loss  0.849115, Average Loss  0.825930, Time  0.269417
2021-09-12 17:59:53.817946 : Epoch 10, Batch    664, Loss  0.828248, Average Loss  0.825860, Time  0.324106
2021-09-12 17:59:58.798977 : Epoch 10, Batch    665, Loss  0.830350, Average Loss  0.825882, Time  0.257219
2021-09-12 18:00:04.517931 : Epoch 10, Batch    666, Loss  0.826786, Average Loss  0.825825, Time  0.327564
2021-09-12 18:00:09.108216 : Epoch 10, Batch    667, Loss  0.837489, Average Loss  0.825763, Time  0.302165
2021-09-12 18:00:14.208803 : Epoch 10, Batch    668, Loss  0.836930, Average Loss  0.825841, Time  0.286683
2021-09-12 18:00:20.022261 : Epoch 10, Batch    669, Loss  0.838398, Average Loss  0.825878, Time  0.279345
2021-09-12 18:00:24.644323 : Epoch 10, Batch    670, Loss  0.801087, Average Loss  0.825796, Time  0.325153
2021-09-12 18:00:30.875899 : Epoch 10, Batch    671, Loss  0.820517, Average Loss  0.825705, Time  0.248626
2021-09-12 18:00:35.480806 : Epoch 10, Batch    672, Loss  0.814399, Average Loss  0.825636, Time  0.314255
2021-09-12 18:00:43.012848 : Epoch 10, Batch    673, Loss  0.822163, Average Loss  0.825606, Time  0.370076
2021-09-12 18:00:47.747010 : Epoch 10, Batch    674, Loss  0.843490, Average Loss  0.825565, Time  0.302537
2021-09-12 18:00:54.551787 : Epoch 10, Batch    675, Loss  0.828797, Average Loss  0.825589, Time  0.340890
2021-09-12 18:01:00.411876 : Epoch 10, Batch    676, Loss  0.834451, Average Loss  0.825606, Time  0.244332
2021-09-12 18:01:03.522336 : Epoch 10, Batch    677, Loss  0.807400, Average Loss  0.825493, Time  0.321074
2021-09-12 18:01:07.981053 : Epoch 10, Batch    678, Loss  0.804280, Average Loss  0.825333, Time  0.315712
2021-09-12 18:01:12.096067 : Epoch 10, Batch    679, Loss  0.822909, Average Loss  0.825230, Time  0.279515
2021-09-12 18:01:15.452286 : Epoch 10, Batch    680, Loss  0.834812, Average Loss  0.825437, Time  0.251206
2021-09-12 18:01:22.737318 : Epoch 10, Batch    681, Loss  0.820581, Average Loss  0.825593, Time  0.414889
2021-09-12 18:01:26.878283 : Epoch 10, Batch    682, Loss  0.828763, Average Loss  0.825524, Time  0.272321
2021-09-12 18:01:30.904919 : Epoch 10, Batch    683, Loss  0.838074, Average Loss  0.825664, Time  0.334520
2021-09-12 18:01:34.419738 : Epoch 10, Batch    684, Loss  0.826247, Average Loss  0.825612, Time  0.269066
2021-09-12 18:01:39.271007 : Epoch 10, Batch    685, Loss  0.849686, Average Loss  0.825786, Time  0.265787
2021-09-12 18:01:43.285776 : Epoch 10, Batch    686, Loss  0.809261, Average Loss  0.825737, Time  0.320294
2021-09-12 18:01:48.835932 : Epoch 10, Batch    687, Loss  0.843304, Average Loss  0.825817, Time  0.243239
2021-09-12 18:01:55.555834 : Epoch 10, Batch    688, Loss  0.841532, Average Loss  0.825836, Time  0.328736
2021-09-12 18:02:00.163250 : Epoch 10, Batch    689, Loss  0.832977, Average Loss  0.825794, Time  0.265092
2021-09-12 18:02:04.732778 : Epoch 10, Batch    690, Loss  0.810612, Average Loss  0.825809, Time  0.268808
2021-09-12 18:02:09.458273 : Epoch 10, Batch    691, Loss  0.842674, Average Loss  0.825962, Time  0.284065
2021-09-12 18:02:12.905886 : Epoch 10, Batch    692, Loss  0.824417, Average Loss  0.826009, Time  0.270875
2021-09-12 18:02:18.431238 : Epoch 10, Batch    693, Loss  0.824143, Average Loss  0.825951, Time  0.262756
2021-09-12 18:02:22.200307 : Epoch 10, Batch    694, Loss  0.825823, Average Loss  0.826060, Time  0.319500
2021-09-12 18:02:25.945897 : Epoch 10, Batch    695, Loss  0.829793, Average Loss  0.826029, Time  0.286985
2021-09-12 18:02:32.677097 : Epoch 10, Batch    696, Loss  0.818104, Average Loss  0.825902, Time  0.302804
2021-09-12 18:10:44.049901 : CheckPoint: Validation Loss  0.00029221, Best Loss  0.00027575
2021-09-12 18:10:49.611035 : Epoch 10, Batch    697, Loss  0.828547, Average Loss  0.825987, Time  0.273017
2021-09-12 18:10:54.190045 : Epoch 10, Batch    698, Loss  0.821963, Average Loss  0.826013, Time  0.583545
2021-09-12 18:10:59.816219 : Epoch 10, Batch    699, Loss  0.832767, Average Loss  0.825997, Time  0.357194
2021-09-12 18:11:07.777259 : Epoch 10, Batch    700, Loss  0.814467, Average Loss  0.825817, Time  0.267622
2021-09-12 18:11:10.938024 : Epoch 10, Batch    701, Loss  0.812903, Average Loss  0.825776, Time  0.254695
2021-09-12 18:11:15.797399 : Epoch 10, Batch    702, Loss  0.840919, Average Loss  0.826017, Time  0.236406
2021-09-12 18:11:18.485019 : Epoch 10, Batch    703, Loss  0.841137, Average Loss  0.826128, Time  0.294730
2021-09-12 18:11:23.554217 : Epoch 10, Batch    704, Loss  0.823305, Average Loss  0.826090, Time  0.316470
2021-09-12 18:11:26.343853 : Epoch 10, Batch    705, Loss  0.802500, Average Loss  0.826057, Time  0.262776
2021-09-12 18:11:32.164934 : Epoch 10, Batch    706, Loss  0.827041, Average Loss  0.826108, Time  0.260994
2021-09-12 18:11:38.518160 : Epoch 10, Batch    707, Loss  0.830095, Average Loss  0.826104, Time  0.411271
2021-09-12 18:11:44.500852 : Epoch 10, Batch    708, Loss  0.826268, Average Loss  0.826050, Time  0.340100
2021-09-12 18:11:50.811865 : Epoch 10, Batch    709, Loss  0.831475, Average Loss  0.826288, Time  0.437786
2021-09-12 18:11:55.035222 : Epoch 10, Batch    710, Loss  0.828780, Average Loss  0.826367, Time  0.308970
2021-09-12 18:12:00.010971 : Epoch 10, Batch    711, Loss  0.826333, Average Loss  0.826379, Time  0.381081
2021-09-12 18:12:05.367913 : Epoch 10, Batch    712, Loss  0.835688, Average Loss  0.826410, Time  0.259091
2021-09-12 18:12:08.180349 : Epoch 10, Batch    713, Loss  0.821260, Average Loss  0.826392, Time  0.274877
2021-09-12 18:12:13.870276 : Epoch 10, Batch    714, Loss  0.829538, Average Loss  0.826312, Time  0.304280
2021-09-12 18:12:20.810862 : Epoch 10, Batch    715, Loss  0.831374, Average Loss  0.826385, Time  0.295430
2021-09-12 18:12:27.954934 : Epoch 10, Batch    716, Loss  0.810338, Average Loss  0.826398, Time  0.311371
2021-09-12 18:12:32.991936 : Epoch 10, Batch    717, Loss  0.833953, Average Loss  0.826517, Time  0.336627
2021-09-12 18:12:39.564832 : Epoch 10, Batch    718, Loss  0.838737, Average Loss  0.826456, Time  0.351112
2021-09-12 18:12:46.360922 : Epoch 10, Batch    719, Loss  0.826623, Average Loss  0.826396, Time  0.268836
2021-09-12 18:12:51.999029 : Epoch 10, Batch    720, Loss  0.827693, Average Loss  0.826375, Time  0.338261
2021-09-12 18:12:58.655907 : Epoch 10, Batch    721, Loss  0.812866, Average Loss  0.826211, Time  0.292674
2021-09-12 18:13:02.136008 : Epoch 10, Batch    722, Loss  0.811564, Average Loss  0.826083, Time  0.316405
2021-09-12 18:13:07.715316 : Epoch 10, Batch    723, Loss  0.811632, Average Loss  0.825997, Time  0.387401
2021-09-12 18:13:13.875452 : Epoch 10, Batch    724, Loss  0.850749, Average Loss  0.826139, Time  0.408710
2021-09-12 18:13:18.331376 : Epoch 10, Batch    725, Loss  0.819738, Average Loss  0.826216, Time  0.264394
2021-09-12 18:13:22.589424 : Epoch 10, Batch    726, Loss  0.830159, Average Loss  0.826287, Time  0.258143
2021-09-12 18:13:27.336986 : Epoch 10, Batch    727, Loss  0.832292, Average Loss  0.826254, Time  0.276541
2021-09-12 18:13:32.280832 : Epoch 10, Batch    728, Loss  0.815696, Average Loss  0.826250, Time  0.289164
2021-09-12 18:13:37.566054 : Epoch 10, Batch    729, Loss  0.836037, Average Loss  0.826292, Time  0.299376
2021-09-12 18:13:40.689186 : Epoch 10, Batch    730, Loss  0.829029, Average Loss  0.826387, Time  0.237580
2021-09-12 18:13:44.197807 : Epoch 10, Batch    731, Loss  0.826033, Average Loss  0.826275, Time  0.258148
2021-09-12 18:13:48.472228 : Epoch 10, Batch    732, Loss  0.823662, Average Loss  0.826288, Time  0.236267
2021-09-12 18:13:53.553788 : Epoch 10, Batch    733, Loss  0.822965, Average Loss  0.826284, Time  0.374314
2021-09-12 18:13:59.605996 : Epoch 10, Batch    734, Loss  0.834810, Average Loss  0.826397, Time  0.295303
2021-09-12 18:14:05.209163 : Epoch 10, Batch    735, Loss  0.833998, Average Loss  0.826434, Time  0.329888
2021-09-12 18:14:12.561573 : Epoch 10, Batch    736, Loss  0.830964, Average Loss  0.826424, Time  0.300994
2021-09-12 18:14:17.053330 : Epoch 10, Batch    737, Loss  0.823358, Average Loss  0.826452, Time  0.355525
2021-09-12 18:14:22.322831 : Epoch 10, Batch    738, Loss  0.842168, Average Loss  0.826569, Time  0.268522
2021-09-12 18:14:26.252047 : Epoch 10, Batch    739, Loss  0.834515, Average Loss  0.826552, Time  0.268426
2021-09-12 18:14:31.583234 : Epoch 10, Batch    740, Loss  0.817422, Average Loss  0.826461, Time  0.236823
2021-09-12 18:14:36.619050 : Epoch 10, Batch    741, Loss  0.823032, Average Loss  0.826509, Time  0.341582
2021-09-12 18:14:40.420933 : Epoch 10, Batch    742, Loss  0.821886, Average Loss  0.826602, Time  0.323441
2021-09-12 18:14:43.866321 : Epoch 10, Batch    743, Loss  0.829420, Average Loss  0.826575, Time  0.313192
2021-09-12 18:14:47.543932 : Epoch 10, Batch    744, Loss  0.812211, Average Loss  0.826517, Time  0.294827
2021-09-12 18:14:51.553417 : Epoch 10, Batch    745, Loss  0.806876, Average Loss  0.826410, Time  0.316526
2021-09-12 18:14:57.330322 : Epoch 10, Batch    746, Loss  0.818589, Average Loss  0.826471, Time  0.373417
2021-09-12 18:15:01.638871 : Epoch 10, Batch    747, Loss  0.817450, Average Loss  0.826476, Time  0.364026
2021-09-12 18:15:08.596935 : Epoch 10, Batch    748, Loss  0.829743, Average Loss  0.826492, Time  0.259547
2021-09-12 18:15:13.234742 : Epoch 10, Batch    749, Loss  0.831892, Average Loss  0.826524, Time  0.321702
2021-09-12 18:15:18.253998 : Epoch 10, Batch    750, Loss  0.830147, Average Loss  0.826430, Time  0.339647
2021-09-12 18:15:23.926178 : Epoch 10, Batch    751, Loss  0.839113, Average Loss  0.826550, Time  0.236156
2021-09-12 18:15:29.255381 : Epoch 10, Batch    752, Loss  0.831963, Average Loss  0.826609, Time  0.326659
2021-09-12 18:15:35.551311 : Epoch 10, Batch    753, Loss  0.840063, Average Loss  0.826707, Time  0.393007
2021-09-12 18:15:42.294204 : Epoch 10, Batch    754, Loss  0.832324, Average Loss  0.826764, Time  0.304266
2021-09-12 18:15:45.940050 : Epoch 10, Batch    755, Loss  0.798768, Average Loss  0.826527, Time  0.270349
2021-09-12 18:15:50.955143 : Epoch 10, Batch    756, Loss  0.842122, Average Loss  0.826659, Time  0.271646
2021-09-12 18:15:55.927956 : Epoch 10, Batch    757, Loss  0.822657, Average Loss  0.826526, Time  0.309750
2021-09-12 18:16:01.640157 : Epoch 10, Batch    758, Loss  0.832995, Average Loss  0.826609, Time  0.298356
2021-09-12 18:16:06.002940 : Epoch 10, Batch    759, Loss  0.820042, Average Loss  0.826584, Time  0.305389
2021-09-12 18:16:11.445791 : Epoch 10, Batch    760, Loss  0.824747, Average Loss  0.826634, Time  0.353971
2021-09-12 18:16:16.110005 : Epoch 10, Batch    761, Loss  0.827586, Average Loss  0.826635, Time  0.331700
2021-09-12 18:16:22.058841 : Epoch 10, Batch    762, Loss  0.818455, Average Loss  0.826576, Time  0.267976
2021-09-12 18:16:25.216872 : Epoch 10, Batch    763, Loss  0.848683, Average Loss  0.826692, Time  0.318678
2021-09-12 18:16:31.427864 : Epoch 10, Batch    764, Loss  0.830229, Average Loss  0.826681, Time  0.236596
2021-09-12 18:16:35.150290 : Epoch 10, Batch    765, Loss  0.812435, Average Loss  0.826602, Time  0.279283
2021-09-12 18:16:40.681780 : Epoch 10, Batch    766, Loss  0.825995, Average Loss  0.826573, Time  0.237225
2021-09-12 18:16:45.687015 : Epoch 10, Batch    767, Loss  0.814165, Average Loss  0.826418, Time  0.236485
2021-09-12 18:16:49.288863 : Epoch 10, Batch    768, Loss  0.831331, Average Loss  0.826419, Time  0.337994
2021-09-12 18:16:53.267900 : Epoch 10, Batch    769, Loss  0.828722, Average Loss  0.826367, Time  0.277080
2021-09-12 18:16:59.286816 : Epoch 10, Batch    770, Loss  0.827783, Average Loss  0.826408, Time  0.237201
2021-09-12 18:17:04.688933 : Epoch 10, Batch    771, Loss  0.825594, Average Loss  0.826363, Time  0.304890
2021-09-12 18:17:12.287296 : Epoch 10, Batch    772, Loss  0.828154, Average Loss  0.826295, Time  0.415486
2021-09-12 18:17:18.063822 : Epoch 10, Batch    773, Loss  0.827757, Average Loss  0.826264, Time  0.269625
2021-09-12 18:17:23.742090 : Epoch 10, Batch    774, Loss  0.830392, Average Loss  0.826324, Time  0.245101
2021-09-12 18:17:30.596494 : Epoch 10, Batch    775, Loss  0.829579, Average Loss  0.826344, Time  0.338267
2021-09-12 18:17:39.627823 : Epoch 10, Batch    776, Loss  0.822348, Average Loss  0.826331, Time  0.321522
2021-09-12 18:17:44.349878 : Epoch 10, Batch    777, Loss  0.835051, Average Loss  0.826320, Time  0.258720
2021-09-12 18:17:51.040537 : Epoch 10, Batch    778, Loss  0.833870, Average Loss  0.826334, Time  0.351862
2021-09-12 18:17:54.768016 : Epoch 10, Batch    779, Loss  0.811166, Average Loss  0.826172, Time  0.270559
2021-09-12 18:17:57.876787 : Epoch 10, Batch    780, Loss  0.832159, Average Loss  0.826227, Time  0.262784
2021-09-12 18:18:02.997788 : Epoch 10, Batch    781, Loss  0.825965, Average Loss  0.826335, Time  0.237134
2021-09-12 18:18:08.510898 : Epoch 10, Batch    782, Loss  0.832734, Average Loss  0.826366, Time  0.286527
2021-09-12 18:18:15.013407 : Epoch 10, Batch    783, Loss  0.821688, Average Loss  0.826342, Time  0.303492
2021-09-12 18:18:20.623958 : Epoch 10, Batch    784, Loss  0.840462, Average Loss  0.826371, Time  0.287771
2021-09-12 18:18:26.087256 : Epoch 10, Batch    785, Loss  0.801226, Average Loss  0.826274, Time  0.236619
2021-09-12 18:18:33.027937 : Epoch 10, Batch    786, Loss  0.825171, Average Loss  0.826271, Time  0.337161
2021-09-12 18:18:36.045980 : Epoch 10, Batch    787, Loss  0.809724, Average Loss  0.826127, Time  0.327365
2021-09-12 18:18:41.203318 : Epoch 10, Batch    788, Loss  0.824246, Average Loss  0.826069, Time  0.326040
2021-09-12 18:18:47.402927 : Epoch 10, Batch    789, Loss  0.806323, Average Loss  0.826056, Time  0.305381
2021-09-12 18:18:50.782778 : Epoch 10, Batch    790, Loss  0.807011, Average Loss  0.825986, Time  0.273977
2021-09-12 18:18:54.907078 : Epoch 10, Batch    791, Loss  0.832644, Average Loss  0.826077, Time  0.301580
2021-09-12 18:19:00.924000 : Epoch 10, Batch    792, Loss  0.844897, Average Loss  0.826104, Time  0.322921
2021-09-12 18:19:07.815942 : Epoch 10, Batch    793, Loss  0.847414, Average Loss  0.826237, Time  0.308971
2021-09-12 18:19:14.963812 : Epoch 10, Batch    794, Loss  0.801662, Average Loss  0.826292, Time  0.239039
2021-09-12 18:19:22.118780 : Epoch 10, Batch    795, Loss  0.812396, Average Loss  0.826258, Time  0.327960
2021-09-12 18:19:27.472744 : Epoch 10, Batch    796, Loss  0.822892, Average Loss  0.826171, Time  0.264969
2021-09-12 18:27:39.224767 : CheckPoint: Validation Loss  0.00028643, Best Loss  0.00027575
2021-09-12 18:27:43.469954 : Epoch 10, Batch    797, Loss  0.836026, Average Loss  0.826278, Time  0.339399
2021-09-12 18:27:47.518739 : Epoch 10, Batch    798, Loss  0.818706, Average Loss  0.826209, Time  0.251677
2021-09-12 18:27:51.862763 : Epoch 10, Batch    799, Loss  0.822636, Average Loss  0.826232, Time  0.271030
2021-09-12 18:27:56.988808 : Epoch 10, Batch    800, Loss  0.825826, Average Loss  0.826321, Time  0.328629
2021-09-12 18:28:00.972769 : Epoch 10, Batch    801, Loss  0.831931, Average Loss  0.826464, Time  0.255201
2021-09-12 18:28:06.498899 : Epoch 10, Batch    802, Loss  0.849840, Average Loss  0.826535, Time  0.284652
2021-09-12 18:28:11.697304 : Epoch 10, Batch    803, Loss  0.809417, Average Loss  0.826444, Time  0.323961
2021-09-12 18:28:15.757493 : Epoch 10, Batch    804, Loss  0.825594, Average Loss  0.826522, Time  0.276144
2021-09-12 18:28:19.349800 : Epoch 10, Batch    805, Loss  0.831197, Average Loss  0.826594, Time  0.260945
2021-09-12 18:28:22.918255 : Epoch 10, Batch    806, Loss  0.822996, Average Loss  0.826499, Time  0.278305
2021-09-12 18:28:26.190146 : Epoch 10, Batch    807, Loss  0.822229, Average Loss  0.826462, Time  0.263903
2021-09-12 18:28:32.191807 : Epoch 10, Batch    808, Loss  0.812652, Average Loss  0.826286, Time  0.282582
2021-09-12 18:28:35.264013 : Epoch 10, Batch    809, Loss  0.818492, Average Loss  0.826297, Time  0.236649
2021-09-12 18:28:40.839272 : Epoch 10, Batch    810, Loss  0.822135, Average Loss  0.826241, Time  0.280967
2021-09-12 18:28:44.742892 : Epoch 10, Batch    811, Loss  0.833400, Average Loss  0.826194, Time  0.276433
2021-09-12 18:28:50.497967 : Epoch 10, Batch    812, Loss  0.853073, Average Loss  0.826281, Time  0.290072
2021-09-12 18:28:54.409869 : Epoch 10, Batch    813, Loss  0.820674, Average Loss  0.826232, Time  0.262699
2021-09-12 18:28:59.203282 : Epoch 10, Batch    814, Loss  0.836773, Average Loss  0.826291, Time  0.274167
2021-09-12 18:29:01.934291 : Epoch 10, Batch    815, Loss  0.826967, Average Loss  0.826325, Time  0.303527
2021-09-12 18:29:05.773748 : Epoch 10, Batch    816, Loss  0.856038, Average Loss  0.826363, Time  0.294376
2021-09-12 18:29:09.743260 : Epoch 10, Batch    817, Loss  0.837517, Average Loss  0.826401, Time  0.255484
2021-09-12 18:29:13.304262 : Epoch 10, Batch    818, Loss  0.826988, Average Loss  0.826414, Time  0.287235
2021-09-12 18:29:20.835825 : Epoch 10, Batch    819, Loss  0.828324, Average Loss  0.826428, Time  0.342081
2021-09-12 18:29:25.152857 : Epoch 10, Batch    820, Loss  0.825034, Average Loss  0.826365, Time  0.309246
2021-09-12 18:29:30.803298 : Epoch 10, Batch    821, Loss  0.801301, Average Loss  0.826172, Time  0.423060
2021-09-12 18:29:34.253735 : Epoch 10, Batch    822, Loss  0.823154, Average Loss  0.826280, Time  0.253670
2021-09-12 18:29:36.921162 : Epoch 10, Batch    823, Loss  0.829497, Average Loss  0.826300, Time  0.249398
2021-09-12 18:29:43.507074 : Epoch 10, Batch    824, Loss  0.827502, Average Loss  0.826319, Time  0.251175
2021-09-12 18:29:47.806255 : Epoch 10, Batch    825, Loss  0.800570, Average Loss  0.826190, Time  0.261916
2021-09-12 18:29:51.038419 : Epoch 10, Batch    826, Loss  0.835855, Average Loss  0.826336, Time  0.236162
2021-09-12 18:29:55.179784 : Epoch 10, Batch    827, Loss  0.802582, Average Loss  0.826220, Time  0.295860
2021-09-12 18:29:58.385293 : Epoch 10, Batch    828, Loss  0.849490, Average Loss  0.826272, Time  0.236707
2021-09-12 18:30:04.706246 : Epoch 10, Batch    829, Loss  0.812185, Average Loss  0.826214, Time  0.282969
2021-09-12 18:30:13.565227 : Epoch 10, Batch    830, Loss  0.833551, Average Loss  0.826308, Time  0.277701
2021-09-12 18:30:24.263219 : Epoch 10, Batch    831, Loss  0.817267, Average Loss  0.826367, Time  0.309530
2021-09-12 18:30:32.511945 : Epoch 10, Batch    832, Loss  0.830293, Average Loss  0.826412, Time  0.527492
2021-09-12 18:30:44.088061 : Epoch 10, Batch    833, Loss  0.838729, Average Loss  0.826567, Time  0.474790
2021-09-12 18:30:49.303792 : Epoch 10, Batch    834, Loss  0.805539, Average Loss  0.826494, Time  0.457105
2021-09-12 18:30:54.827820 : Epoch 10, Batch    835, Loss  0.850591, Average Loss  0.826657, Time  0.237250
2021-09-12 18:30:58.313993 : Epoch 10, Batch    836, Loss  0.805943, Average Loss  0.826593, Time  0.437511
2021-09-12 18:31:03.811730 : Epoch 10, Batch    837, Loss  0.844261, Average Loss  0.826626, Time  0.315559
2021-09-12 18:31:10.226080 : Epoch 10, Batch    838, Loss  0.823870, Average Loss  0.826608, Time  0.460311
2021-09-12 18:31:14.098062 : Epoch 10, Batch    839, Loss  0.832461, Average Loss  0.826802, Time  0.256851
2021-09-12 18:31:20.209565 : Epoch 10, Batch    840, Loss  0.818919, Average Loss  0.826737, Time  0.260540
2021-09-12 18:31:24.341845 : Epoch 10, Batch    841, Loss  0.822199, Average Loss  0.826650, Time  0.268037
2021-09-12 18:31:31.595852 : Epoch 10, Batch    842, Loss  0.830402, Average Loss  0.826628, Time  0.307154
2021-09-12 18:31:38.028852 : Epoch 10, Batch    843, Loss  0.819884, Average Loss  0.826534, Time  0.438748
2021-09-12 18:31:45.964506 : Epoch 10, Batch    844, Loss  0.819826, Average Loss  0.826605, Time  0.418053
2021-09-12 18:31:50.864064 : Epoch 10, Batch    845, Loss  0.833127, Average Loss  0.826568, Time  0.302245
2021-09-12 18:31:55.092033 : Epoch 10, Batch    846, Loss  0.833868, Average Loss  0.826606, Time  0.323856
2021-09-12 18:31:59.896758 : Epoch 10, Batch    847, Loss  0.839072, Average Loss  0.826575, Time  0.259763
2021-09-12 18:32:07.520769 : Epoch 10, Batch    848, Loss  0.820423, Average Loss  0.826538, Time  0.305575
2021-09-12 18:32:16.186601 : Epoch 10, Batch    849, Loss  0.850352, Average Loss  0.826695, Time  0.271337
2021-09-12 18:32:22.523045 : Epoch 10, Batch    850, Loss  0.841188, Average Loss  0.826787, Time  0.298372
2021-09-12 18:32:28.122148 : Epoch 10, Batch    851, Loss  0.827855, Average Loss  0.826865, Time  0.474270
2021-09-12 18:32:34.554135 : Epoch 10, Batch    852, Loss  0.810324, Average Loss  0.826828, Time  0.315641
2021-09-12 18:32:38.879485 : Epoch 10, Batch    853, Loss  0.844004, Average Loss  0.826800, Time  0.427460
2021-09-12 18:32:43.997862 : Epoch 10, Batch    854, Loss  0.822277, Average Loss  0.826848, Time  0.351034
2021-09-12 18:32:50.212853 : Epoch 10, Batch    855, Loss  0.831620, Average Loss  0.826873, Time  0.310680
2021-09-12 18:32:55.211070 : Epoch 10, Batch    856, Loss  0.817560, Average Loss  0.826946, Time  0.237078
2021-09-12 18:32:58.652768 : Epoch 10, Batch    857, Loss  0.813530, Average Loss  0.826799, Time  0.295694
2021-09-12 18:33:05.602118 : Epoch 10, Batch    858, Loss  0.820816, Average Loss  0.826726, Time  0.667881
2021-09-12 18:33:13.985665 : Epoch 10, Batch    859, Loss  0.827316, Average Loss  0.826753, Time  0.236262
2021-09-12 18:33:21.892015 : Epoch 10, Batch    860, Loss  0.822933, Average Loss  0.826762, Time  0.354484
2021-09-12 18:33:27.556867 : Epoch 10, Batch    861, Loss  0.798874, Average Loss  0.826445, Time  0.300539
2021-09-12 18:33:33.524818 : Epoch 10, Batch    862, Loss  0.813089, Average Loss  0.826367, Time  0.292630
2021-09-12 18:33:38.886448 : Epoch 10, Batch    863, Loss  0.833641, Average Loss  0.826290, Time  0.243232
2021-09-12 18:33:45.711350 : Epoch 10, Batch    864, Loss  0.803287, Average Loss  0.826165, Time  0.498318
2021-09-12 18:33:52.732930 : Epoch 10, Batch    865, Loss  0.830592, Average Loss  0.826166, Time  0.326572
2021-09-12 18:33:58.472136 : Epoch 10, Batch    866, Loss  0.821108, Average Loss  0.826138, Time  0.301701
2021-09-12 18:34:05.467919 : Epoch 10, Batch    867, Loss  0.828924, Average Loss  0.826095, Time  0.309553
2021-09-12 18:34:12.933033 : Epoch 10, Batch    868, Loss  0.809276, Average Loss  0.825957, Time  0.454223
2021-09-12 18:34:17.126852 : Epoch 10, Batch    869, Loss  0.822347, Average Loss  0.825877, Time  0.302766
2021-09-12 18:34:21.917394 : Epoch 10, Batch    870, Loss  0.831475, Average Loss  0.826029, Time  0.278736
2021-09-12 18:34:27.680155 : Epoch 10, Batch    871, Loss  0.820598, Average Loss  0.826029, Time  0.283800
2021-09-12 18:34:36.272244 : Epoch 10, Batch    872, Loss  0.835685, Average Loss  0.826135, Time  0.504612
2021-09-12 18:34:41.314607 : Epoch 10, Batch    873, Loss  0.839770, Average Loss  0.826224, Time  0.262319
2021-09-12 18:34:46.669326 : Epoch 10, Batch    874, Loss  0.838926, Average Loss  0.826201, Time  0.280603
2021-09-12 18:34:51.954600 : Epoch 10, Batch    875, Loss  0.831529, Average Loss  0.826214, Time  0.340888
2021-09-12 18:34:59.224820 : Epoch 10, Batch    876, Loss  0.834565, Average Loss  0.826215, Time  0.300731
2021-09-12 18:35:06.377055 : Epoch 10, Batch    877, Loss  0.809965, Average Loss  0.826228, Time  0.413334
2021-09-12 18:35:12.192571 : Epoch 10, Batch    878, Loss  0.834142, Average Loss  0.826377, Time  0.321981
2021-09-12 18:35:17.135811 : Epoch 10, Batch    879, Loss  0.850252, Average Loss  0.826514, Time  0.295075
2021-09-12 18:35:24.288341 : Epoch 10, Batch    880, Loss  0.806559, Average Loss  0.826373, Time  0.307841
2021-09-12 18:35:30.799024 : Epoch 10, Batch    881, Loss  0.834318, Average Loss  0.826441, Time  0.276026
2021-09-12 18:35:35.300968 : Epoch 10, Batch    882, Loss  0.838279, Average Loss  0.826489, Time  0.390828
2021-09-12 18:35:40.304252 : Epoch 10, Batch    883, Loss  0.828728, Average Loss  0.826442, Time  0.236151
2021-09-12 18:35:46.235335 : Epoch 10, Batch    884, Loss  0.822507, Average Loss  0.826423, Time  0.317705
2021-09-12 18:35:52.296255 : Epoch 10, Batch    885, Loss  0.825082, Average Loss  0.826300, Time  0.365729
2021-09-12 18:35:57.160979 : Epoch 10, Batch    886, Loss  0.830625, Average Loss  0.826407, Time  0.309023
2021-09-12 18:36:06.061899 : Epoch 10, Batch    887, Loss  0.825458, Average Loss  0.826318, Time  0.390068
2021-09-12 18:36:09.655596 : Epoch 10, Batch    888, Loss  0.813662, Average Loss  0.826179, Time  0.304515
2021-09-12 18:36:15.157338 : Epoch 10, Batch    889, Loss  0.847115, Average Loss  0.826249, Time  0.236856
2021-09-12 18:36:21.093273 : Epoch 10, Batch    890, Loss  0.818906, Average Loss  0.826291, Time  0.267731
2021-09-12 18:36:26.354811 : Epoch 10, Batch    891, Loss  0.837401, Average Loss  0.826264, Time  0.339125
2021-09-12 18:36:33.681884 : Epoch 10, Batch    892, Loss  0.818043, Average Loss  0.826233, Time  0.276749
2021-09-12 18:36:39.268388 : Epoch 10, Batch    893, Loss  0.823890, Average Loss  0.826231, Time  0.374758
2021-09-12 18:36:45.341155 : Epoch 10, Batch    894, Loss  0.840391, Average Loss  0.826304, Time  0.320682
2021-09-12 18:36:50.530947 : Epoch 10, Batch    895, Loss  0.821748, Average Loss  0.826264, Time  0.409277
2021-09-12 18:36:57.920458 : Epoch 10, Batch    896, Loss  0.825288, Average Loss  0.826300, Time  0.294667
2021-09-12 18:48:02.520742 : CheckPoint: Validation Loss  0.00029812, Best Loss  0.00027575
2021-09-12 18:48:07.695009 : Epoch 10, Batch    897, Loss  0.832710, Average Loss  0.826321, Time  0.349593
2021-09-12 18:48:11.800191 : Epoch 10, Batch    898, Loss  0.835494, Average Loss  0.826388, Time  0.359599
2021-09-12 18:48:19.921095 : Epoch 10, Batch    899, Loss  0.824768, Average Loss  0.826348, Time  0.582901
2021-09-12 18:48:29.950460 : Epoch 10, Batch    900, Loss  0.854452, Average Loss  0.826548, Time  0.274619
2021-09-12 18:48:39.551946 : Epoch 10, Batch    901, Loss  0.839666, Average Loss  0.826682, Time  0.492651
2021-09-12 18:48:46.167323 : Epoch 10, Batch    902, Loss  0.839518, Average Loss  0.826675, Time  0.344680
2021-09-12 18:48:56.221862 : Epoch 10, Batch    903, Loss  0.810285, Average Loss  0.826521, Time  0.392895
2021-09-12 18:49:02.356006 : Epoch 10, Batch    904, Loss  0.826750, Average Loss  0.826538, Time  0.347828
2021-09-12 18:49:10.499060 : Epoch 10, Batch    905, Loss  0.830632, Average Loss  0.826679, Time  0.508656
2021-09-12 18:49:21.028895 : Epoch 10, Batch    906, Loss  0.821821, Average Loss  0.826653, Time  0.340219
2021-09-12 18:49:27.324276 : Epoch 10, Batch    907, Loss  0.836346, Average Loss  0.826684, Time  0.286431
2021-09-12 18:49:36.398964 : Epoch 10, Batch    908, Loss  0.816052, Average Loss  0.826633, Time  0.319041
2021-09-12 18:49:46.506002 : Epoch 10, Batch    909, Loss  0.819699, Average Loss  0.826574, Time  0.402222
2021-09-12 18:49:53.708421 : Epoch 10, Batch    910, Loss  0.852764, Average Loss  0.826694, Time  0.271540
2021-09-12 18:50:01.779552 : Epoch 10, Batch    911, Loss  0.828499, Average Loss  0.826705, Time  0.487136
2021-09-12 18:50:10.682365 : Epoch 10, Batch    912, Loss  0.816118, Average Loss  0.826607, Time  0.519480
2021-09-12 18:50:17.507850 : Epoch 10, Batch    913, Loss  0.826319, Average Loss  0.826632, Time  0.520445
2021-09-12 18:50:27.135087 : Epoch 10, Batch    914, Loss  0.809774, Average Loss  0.826533, Time  0.366384
2021-09-12 18:50:34.880816 : Epoch 10, Batch    915, Loss  0.832829, Average Loss  0.826540, Time  0.359820
2021-09-12 18:50:40.713848 : Epoch 10, Batch    916, Loss  0.843741, Average Loss  0.826707, Time  0.305942
2021-09-12 18:50:50.349936 : Epoch 10, Batch    917, Loss  0.826129, Average Loss  0.826668, Time  0.354589
2021-09-12 18:50:57.959302 : Epoch 10, Batch    918, Loss  0.821881, Average Loss  0.826584, Time  0.377253
2021-09-12 18:51:05.216200 : Epoch 10, Batch    919, Loss  0.835506, Average Loss  0.826628, Time  0.363960
2021-09-12 18:51:11.014449 : Epoch 10, Batch    920, Loss  0.833120, Average Loss  0.826656, Time  0.356907
2021-09-12 18:51:20.375210 : Epoch 10, Batch    921, Loss  0.837822, Average Loss  0.826780, Time  0.499436
2021-09-12 18:51:28.913578 : Epoch 10, Batch    922, Loss  0.806480, Average Loss  0.826755, Time  0.389392
2021-09-12 18:51:37.764738 : Epoch 10, Batch    923, Loss  0.840368, Average Loss  0.826899, Time  0.327504
2021-09-12 18:51:43.745388 : Epoch 10, Batch    924, Loss  0.830519, Average Loss  0.826798, Time  0.269056
2021-09-12 18:51:49.305739 : Epoch 10, Batch    925, Loss  0.840934, Average Loss  0.826903, Time  0.312973
2021-09-12 18:51:52.929971 : Epoch 10, Batch    926, Loss  0.807976, Average Loss  0.826793, Time  0.322230
2021-09-12 18:52:00.100401 : Epoch 10, Batch    927, Loss  0.854626, Average Loss  0.826904, Time  0.398109
2021-09-12 18:52:09.311223 : Epoch 10, Batch    928, Loss  0.843968, Average Loss  0.827046, Time  0.509602
2021-09-12 18:52:19.604280 : Epoch 10, Batch    929, Loss  0.806238, Average Loss  0.826897, Time  0.275886
2021-09-12 18:52:27.304219 : Epoch 10, Batch    930, Loss  0.834683, Average Loss  0.826925, Time  0.361877
2021-09-12 18:52:33.382950 : Epoch 10, Batch    931, Loss  0.797720, Average Loss  0.826783, Time  0.303484
2021-09-12 18:52:42.608035 : Epoch 10, Batch    932, Loss  0.836815, Average Loss  0.826849, Time  0.452133
2021-09-12 18:52:50.731945 : Epoch 10, Batch    933, Loss  0.838401, Average Loss  0.826926, Time  0.477320
2021-09-12 18:52:58.765906 : Epoch 10, Batch    934, Loss  0.814559, Average Loss  0.826825, Time  0.389872
2021-09-12 18:53:08.190806 : Epoch 10, Batch    935, Loss  0.804549, Average Loss  0.826678, Time  0.526982
2021-09-12 18:53:18.124264 : Epoch 10, Batch    936, Loss  0.821788, Average Loss  0.826632, Time  0.248956
2021-09-12 18:53:27.192485 : Epoch 10, Batch    937, Loss  0.811162, Average Loss  0.826571, Time  0.374795
2021-09-12 18:53:34.784917 : Epoch 10, Batch    938, Loss  0.814812, Average Loss  0.826434, Time  0.513782
2021-09-12 18:53:41.855571 : Epoch 10, Batch    939, Loss  0.825787, Average Loss  0.826390, Time  0.345686
2021-09-12 18:53:50.622143 : Epoch 10, Batch    940, Loss  0.825260, Average Loss  0.826430, Time  0.467096
2021-09-12 18:54:02.445140 : Epoch 10, Batch    941, Loss  0.813731, Average Loss  0.826383, Time  0.307958
2021-09-12 18:54:11.931978 : Epoch 10, Batch    942, Loss  0.820688, Average Loss  0.826377, Time  0.421257
2021-09-12 18:54:20.397974 : Epoch 10, Batch    943, Loss  0.848733, Average Loss  0.826474, Time  0.288212
2021-09-12 18:54:26.089741 : Epoch 10, Batch    944, Loss  0.827734, Average Loss  0.826551, Time  0.309800
2021-09-12 18:54:32.421424 : Epoch 10, Batch    945, Loss  0.825940, Average Loss  0.826647, Time  0.282259
2021-09-12 18:54:43.095949 : Epoch 10, Batch    946, Loss  0.837207, Average Loss  0.826740, Time  0.415789
2021-09-12 18:54:51.503231 : Epoch 10, Batch    947, Loss  0.812626, Average Loss  0.826716, Time  0.374370
2021-09-12 18:55:00.182924 : Epoch 10, Batch    948, Loss  0.839981, Average Loss  0.826767, Time  0.331071
2021-09-12 18:55:09.247315 : Epoch 10, Batch    949, Loss  0.832950, Average Loss  0.826772, Time  0.578570
2021-09-12 18:55:15.705960 : Epoch 10, Batch    950, Loss  0.829246, Average Loss  0.826768, Time  0.384271
2021-09-12 18:55:26.042152 : Epoch 10, Batch    951, Loss  0.821458, Average Loss  0.826679, Time  0.345870
2021-09-12 18:55:31.907330 : Epoch 10, Batch    952, Loss  0.837000, Average Loss  0.826705, Time  0.376724
2021-09-12 18:55:42.272202 : Epoch 10, Batch    953, Loss  0.819309, Average Loss  0.826601, Time  0.370669
2021-09-12 18:55:51.426388 : Epoch 10, Batch    954, Loss  0.816862, Average Loss  0.826523, Time  0.392317
2021-09-12 18:55:56.290981 : Epoch 10, Batch    955, Loss  0.818279, Average Loss  0.826621, Time  0.283626
2021-09-12 18:56:04.698095 : Epoch 10, Batch    956, Loss  0.853610, Average Loss  0.826678, Time  0.558471
2021-09-12 18:56:12.080914 : Epoch 10, Batch    957, Loss  0.845822, Average Loss  0.826794, Time  0.419495
2021-09-12 18:56:21.472804 : Epoch 10, Batch    958, Loss  0.821501, Average Loss  0.826737, Time  0.250973
2021-09-12 18:56:32.340985 : Epoch 10, Batch    959, Loss  0.839469, Average Loss  0.826834, Time  0.407697
2021-09-12 18:56:42.805031 : Epoch 10, Batch    960, Loss  0.809982, Average Loss  0.826760, Time  0.368364
2021-09-12 18:56:51.714228 : Epoch 10, Batch    961, Loss  0.801446, Average Loss  0.826629, Time  0.456046
2021-09-12 18:56:57.960607 : Epoch 10, Batch    962, Loss  0.808390, Average Loss  0.826579, Time  0.264699
2021-09-12 18:57:02.080905 : Epoch 10, Batch    963, Loss  0.826171, Average Loss  0.826467, Time  0.277105
2021-09-12 18:57:09.926011 : Epoch 10, Batch    964, Loss  0.827709, Average Loss  0.826454, Time  0.543448
2021-09-12 18:57:18.667150 : Epoch 10, Batch    965, Loss  0.826931, Average Loss  0.826526, Time  0.355309
2021-09-12 18:57:29.371356 : Epoch 10, Batch    966, Loss  0.809694, Average Loss  0.826445, Time  0.444664
2021-09-12 18:57:36.881128 : Epoch 10, Batch    967, Loss  0.824917, Average Loss  0.826499, Time  0.391546
2021-09-12 18:57:46.498213 : Epoch 10, Batch    968, Loss  0.798595, Average Loss  0.826335, Time  0.414921
2021-09-12 18:57:54.189947 : Epoch 10, Batch    969, Loss  0.835557, Average Loss  0.826369, Time  0.463198
2021-09-12 18:58:00.779205 : Epoch 10, Batch    970, Loss  0.830363, Average Loss  0.826382, Time  0.362984
2021-09-12 18:58:09.822072 : Epoch 10, Batch    971, Loss  0.831175, Average Loss  0.826410, Time  0.401639
2021-09-12 18:58:19.701405 : Epoch 10, Batch    972, Loss  0.804255, Average Loss  0.826290, Time  0.441038
2021-09-12 18:58:28.188100 : Epoch 10, Batch    973, Loss  0.837969, Average Loss  0.826342, Time  0.416804
2021-09-12 18:58:33.331541 : Epoch 10, Batch    974, Loss  0.818418, Average Loss  0.826282, Time  0.366907
2021-09-12 18:58:44.027191 : Epoch 10, Batch    975, Loss  0.836143, Average Loss  0.826314, Time  0.294141
2021-09-12 18:58:52.404062 : Epoch 10, Batch    976, Loss  0.823976, Average Loss  0.826323, Time  0.397557
2021-09-12 18:59:00.821951 : Epoch 10, Batch    977, Loss  0.816004, Average Loss  0.826227, Time  0.258634
2021-09-12 18:59:11.399343 : Epoch 10, Batch    978, Loss  0.828498, Average Loss  0.826201, Time  0.457154
2021-09-12 18:59:17.687154 : Epoch 10, Batch    979, Loss  0.819246, Average Loss  0.826241, Time  0.325500
2021-09-12 18:59:28.786008 : Epoch 10, Batch    980, Loss  0.815005, Average Loss  0.826155, Time  0.427334
2021-09-12 18:59:36.180005 : Epoch 10, Batch    981, Loss  0.822820, Average Loss  0.826139, Time  0.480485
2021-09-12 18:59:45.614723 : Epoch 10, Batch    982, Loss  0.822016, Average Loss  0.826086, Time  0.396977
2021-09-12 18:59:53.340917 : Epoch 10, Batch    983, Loss  0.829592, Average Loss  0.826125, Time  0.479906
2021-09-12 19:00:01.526967 : Epoch 10, Batch    984, Loss  0.816017, Average Loss  0.826003, Time  0.549330
2021-09-12 19:00:07.686571 : Epoch 10, Batch    985, Loss  0.813833, Average Loss  0.826066, Time  0.381188
2021-09-12 19:00:16.046162 : Epoch 10, Batch    986, Loss  0.832605, Average Loss  0.826103, Time  0.299879
2021-09-12 19:00:22.590395 : Epoch 10, Batch    987, Loss  0.818640, Average Loss  0.826148, Time  0.323009
2021-09-12 19:00:29.550756 : Epoch 10, Batch    988, Loss  0.841696, Average Loss  0.826235, Time  0.348899
2021-09-12 19:00:38.081739 : Epoch 10, Batch    989, Loss  0.820579, Average Loss  0.826306, Time  0.399823
2021-09-12 19:00:47.517366 : Epoch 10, Batch    990, Loss  0.818448, Average Loss  0.826364, Time  0.343787
2021-09-12 19:00:55.213942 : Epoch 10, Batch    991, Loss  0.794196, Average Loss  0.826171, Time  0.338300
2021-09-12 19:01:02.944196 : Epoch 10, Batch    992, Loss  0.811239, Average Loss  0.826003, Time  0.334523
2021-09-12 19:01:12.914852 : Epoch 10, Batch    993, Loss  0.809381, Average Loss  0.825813, Time  0.395720
2021-09-12 19:01:24.071814 : Epoch 10, Batch    994, Loss  0.842791, Average Loss  0.826019, Time  0.431057
2021-09-12 19:01:34.267150 : Epoch 10, Batch    995, Loss  0.833642, Average Loss  0.826125, Time  0.371786
2021-09-12 19:01:41.181864 : Epoch 10, Batch    996, Loss  0.826693, Average Loss  0.826144, Time  0.296721
2021-09-12 19:14:18.727037 : CheckPoint: Validation Loss  0.00028917, Best Loss  0.00027575
2021-09-12 19:14:25.211358 : Epoch 10, Batch    997, Loss  0.834153, Average Loss  0.826134, Time  0.341632
2021-09-12 19:14:35.144957 : Epoch 10, Batch    998, Loss  0.831169, Average Loss  0.826197, Time  0.427379
2021-09-12 19:14:45.113181 : Epoch 10, Batch    999, Loss  0.822329, Average Loss  0.826195, Time  0.299171
2021-09-12 19:14:53.058028 : Epoch 10, Batch   1000, Loss  0.826048, Average Loss  0.826196, Time  0.325299
2021-09-12 19:15:03.511178 : Epoch 10, Batch   1001, Loss  0.796869, Average Loss  0.826021, Time  0.545603
2021-09-12 19:15:09.877166 : Epoch 10, Batch   1002, Loss  0.803012, Average Loss  0.825787, Time  0.537544
2021-09-12 19:15:17.817956 : Epoch 10, Batch   1003, Loss  0.811517, Average Loss  0.825797, Time  0.369622
2021-09-12 19:15:24.692473 : Epoch 10, Batch   1004, Loss  0.834516, Average Loss  0.825842, Time  0.353285
2021-09-12 19:15:32.160401 : Epoch 10, Batch   1005, Loss  0.818337, Average Loss  0.825778, Time  0.337517
2021-09-12 19:15:38.499972 : Epoch 10, Batch   1006, Loss  0.835865, Average Loss  0.825842, Time  0.255152
2021-09-12 19:15:48.061111 : Epoch 10, Batch   1007, Loss  0.843309, Average Loss  0.825947, Time  0.554939
2021-09-12 19:15:57.423187 : Epoch 10, Batch   1008, Loss  0.798921, Average Loss  0.825879, Time  0.316777
2021-09-12 19:16:07.153367 : Epoch 10, Batch   1009, Loss  0.813488, Average Loss  0.825854, Time  0.420107
2021-09-12 19:16:16.659220 : Epoch 10, Batch   1010, Loss  0.830628, Average Loss  0.825896, Time  0.344181
2021-09-12 19:16:25.448493 : Epoch 10, Batch   1011, Loss  0.855635, Average Loss  0.826007, Time  0.313952
2021-09-12 19:16:31.131313 : Epoch 10, Batch   1012, Loss  0.811188, Average Loss  0.825798, Time  0.389328
2021-09-12 19:16:37.079602 : Epoch 10, Batch   1013, Loss  0.835951, Average Loss  0.825874, Time  0.255923
2021-09-12 19:16:44.545083 : Epoch 10, Batch   1014, Loss  0.817731, Average Loss  0.825779, Time  0.311678
2021-09-12 19:16:51.783491 : Epoch 10, Batch   1015, Loss  0.819983, Average Loss  0.825744, Time  0.505603
2021-09-12 19:16:59.645441 : Epoch 10, Batch   1016, Loss  0.835799, Average Loss  0.825643, Time  0.257677
2021-09-12 19:17:05.235123 : Epoch 10, Batch   1017, Loss  0.836893, Average Loss  0.825640, Time  0.271199
2021-09-12 19:17:14.437319 : Epoch 10, Batch   1018, Loss  0.810408, Average Loss  0.825557, Time  0.414077
2021-09-12 19:17:22.504336 : Epoch 10, Batch   1019, Loss  0.833894, Average Loss  0.825585, Time  0.387257
2021-09-12 19:17:29.646063 : Epoch 10, Batch   1020, Loss  0.810879, Average Loss  0.825514, Time  0.430490
2021-09-12 19:17:38.321866 : Epoch 10, Batch   1021, Loss  0.825857, Average Loss  0.825637, Time  0.339187
2021-09-12 19:17:47.016368 : Epoch 10, Batch   1022, Loss  0.830184, Average Loss  0.825672, Time  0.414397
2021-09-12 19:17:56.300079 : Epoch 10, Batch   1023, Loss  0.825984, Average Loss  0.825654, Time  0.526210
2021-09-12 19:18:05.733981 : Epoch 10, Batch   1024, Loss  0.832616, Average Loss  0.825680, Time  0.285139
2021-09-12 19:18:14.098914 : Epoch 10, Batch   1025, Loss  0.828152, Average Loss  0.825818, Time  0.327903
2021-09-12 19:18:19.039054 : Epoch 10, Batch   1026, Loss  0.826003, Average Loss  0.825769, Time  0.278786
2021-09-12 19:18:27.989241 : Epoch 10, Batch   1027, Loss  0.818453, Average Loss  0.825848, Time  0.489099
2021-09-12 19:18:38.078323 : Epoch 10, Batch   1028, Loss  0.835084, Average Loss  0.825776, Time  0.399899
2021-09-12 19:18:47.252157 : Epoch 10, Batch   1029, Loss  0.826985, Average Loss  0.825850, Time  0.440819
2021-09-12 19:18:57.959997 : Epoch 10, Batch   1030, Loss  0.827909, Average Loss  0.825822, Time  0.527550
2021-09-12 19:19:01.989474 : Epoch 10, Batch   1031, Loss  0.806048, Average Loss  0.825766, Time  0.244329
2021-09-12 19:19:06.589312 : Epoch 10, Batch   1032, Loss  0.822250, Average Loss  0.825725, Time  0.254915
2021-09-12 19:19:16.611636 : Epoch 10, Batch   1033, Loss  0.809796, Average Loss  0.825581, Time  0.414969
2021-09-12 19:19:24.268740 : Epoch 10, Batch   1034, Loss  0.844980, Average Loss  0.825778, Time  0.391292
2021-09-12 19:19:31.867009 : Epoch 10, Batch   1035, Loss  0.828759, Average Loss  0.825669, Time  0.353633
2021-09-12 19:19:39.243418 : Epoch 10, Batch   1036, Loss  0.823429, Average Loss  0.825756, Time  0.307425
2021-09-12 19:19:50.499466 : Epoch 10, Batch   1037, Loss  0.822333, Average Loss  0.825647, Time  0.348892
2021-09-12 19:20:01.091121 : Epoch 10, Batch   1038, Loss  0.832242, Average Loss  0.825689, Time  0.330433
2021-09-12 19:20:10.070154 : Epoch 10, Batch   1039, Loss  0.835951, Average Loss  0.825706, Time  0.401315
2021-09-12 19:20:18.632829 : Epoch 10, Batch   1040, Loss  0.791345, Average Loss  0.825568, Time  0.299470
2021-09-12 19:20:24.081079 : Epoch 10, Batch   1041, Loss  0.838328, Average Loss  0.825649, Time  0.330133
2021-09-12 19:20:32.220491 : Epoch 10, Batch   1042, Loss  0.819211, Average Loss  0.825593, Time  0.711230
2021-09-12 19:20:37.406666 : Epoch 10, Batch   1043, Loss  0.813199, Average Loss  0.825559, Time  0.346814
2021-09-12 19:20:44.596397 : Epoch 10, Batch   1044, Loss  0.823260, Average Loss  0.825577, Time  0.324765
2021-09-12 19:20:51.251826 : Epoch 10, Batch   1045, Loss  0.820851, Average Loss  0.825515, Time  0.297745
2021-09-12 19:20:58.377343 : Epoch 10, Batch   1046, Loss  0.819078, Average Loss  0.825441, Time  0.309047
2021-09-12 19:21:03.507432 : Epoch 10, Batch   1047, Loss  0.825852, Average Loss  0.825375, Time  0.494661
2021-09-12 19:21:13.194060 : Epoch 10, Batch   1048, Loss  0.818906, Average Loss  0.825368, Time  0.564176
2021-09-12 19:21:22.967898 : Epoch 10, Batch   1049, Loss  0.839846, Average Loss  0.825315, Time  0.383121
2021-09-12 19:21:27.008284 : Epoch 10, Batch   1050, Loss  0.805992, Average Loss  0.825139, Time  0.278583
2021-09-12 19:21:36.076150 : Epoch 10, Batch   1051, Loss  0.843220, Average Loss  0.825216, Time  0.728412
2021-09-12 19:21:39.898886 : Epoch 10, Batch   1052, Loss  0.823611, Average Loss  0.825282, Time  0.236894
2021-09-12 19:21:44.720076 : Epoch 10, Batch   1053, Loss  0.810238, Average Loss  0.825113, Time  0.247450
2021-09-12 19:21:52.241010 : Epoch 10, Batch   1054, Loss  0.805611, Average Loss  0.825030, Time  0.366169
2021-09-12 19:21:58.083872 : Epoch 10, Batch   1055, Loss  0.798396, Average Loss  0.824864, Time  0.286149
2021-09-12 19:22:03.643108 : Epoch 10, Batch   1056, Loss  0.791992, Average Loss  0.824736, Time  0.410773
2021-09-12 19:22:11.962067 : Epoch 10, Batch   1057, Loss  0.816635, Average Loss  0.824752, Time  0.290398
2021-09-12 19:22:18.832403 : Epoch 10, Batch   1058, Loss  0.839211, Average Loss  0.824844, Time  0.370702
2021-09-12 19:22:23.852318 : Epoch 10, Batch   1059, Loss  0.833018, Average Loss  0.824872, Time  0.252505
2021-09-12 19:22:31.563044 : Epoch 10, Batch   1060, Loss  0.848780, Average Loss  0.825001, Time  0.242436
2021-09-12 19:22:37.333404 : Epoch 10, Batch   1061, Loss  0.813264, Average Loss  0.825073, Time  0.303338
2021-09-12 19:22:44.235135 : Epoch 10, Batch   1062, Loss  0.822590, Average Loss  0.825121, Time  0.468589
2021-09-12 19:22:52.906911 : Epoch 10, Batch   1063, Loss  0.832453, Average Loss  0.825115, Time  0.363163
2021-09-12 19:23:01.190222 : Epoch 10, Batch   1064, Loss  0.827739, Average Loss  0.825237, Time  0.485487
2021-09-12 19:23:11.077256 : Epoch 10, Batch   1065, Loss  0.834465, Average Loss  0.825257, Time  0.357366
2021-09-12 19:23:16.108410 : Epoch 10, Batch   1066, Loss  0.831369, Average Loss  0.825308, Time  0.285316
2021-09-12 19:23:23.462216 : Epoch 10, Batch   1067, Loss  0.825392, Average Loss  0.825290, Time  0.425864
2021-09-12 19:23:29.336738 : Epoch 10, Batch   1068, Loss  0.824520, Average Loss  0.825366, Time  0.326610
2021-09-12 19:23:34.177407 : Epoch 10, Batch   1069, Loss  0.828069, Average Loss  0.825395, Time  0.300336
2021-09-12 19:23:40.232949 : Epoch 10, Batch   1070, Loss  0.815423, Average Loss  0.825315, Time  0.348901
2021-09-12 19:23:46.156214 : Epoch 10, Batch   1071, Loss  0.843077, Average Loss  0.825427, Time  0.254817
2021-09-12 19:23:49.922429 : Epoch 10, Batch   1072, Loss  0.825789, Average Loss  0.825378, Time  0.332370
2021-09-12 19:23:54.257861 : Epoch 10, Batch   1073, Loss  0.841451, Average Loss  0.825386, Time  0.249049
2021-09-12 19:24:00.894012 : Epoch 10, Batch   1074, Loss  0.804716, Average Loss  0.825215, Time  0.360608
2021-09-12 19:24:07.337207 : Epoch 10, Batch   1075, Loss  0.849385, Average Loss  0.825304, Time  0.337261
2021-09-12 19:24:13.196103 : Epoch 10, Batch   1076, Loss  0.849731, Average Loss  0.825380, Time  0.311589
2021-09-12 19:24:19.002361 : Epoch 10, Batch   1077, Loss  0.835429, Average Loss  0.825507, Time  0.301397
2021-09-12 19:24:25.463114 : Epoch 10, Batch   1078, Loss  0.842929, Average Loss  0.825551, Time  0.304789
2021-09-12 19:24:30.440291 : Epoch 10, Batch   1079, Loss  0.807719, Average Loss  0.825339, Time  0.239800
2021-09-12 19:24:34.276823 : Epoch 10, Batch   1080, Loss  0.817589, Average Loss  0.825394, Time  0.274089
2021-09-12 19:24:39.071054 : Epoch 10, Batch   1081, Loss  0.813812, Average Loss  0.825291, Time  0.294203
2021-09-12 19:24:45.465786 : Epoch 10, Batch   1082, Loss  0.822677, Average Loss  0.825213, Time  0.264342
2021-09-12 19:24:52.868086 : Epoch 10, Batch   1083, Loss  0.826084, Average Loss  0.825200, Time  0.302423
2021-09-12 19:25:03.357711 : Epoch 10, Batch   1084, Loss  0.858720, Average Loss  0.825381, Time  0.318455
2021-09-12 19:25:09.650414 : Epoch 10, Batch   1085, Loss  0.835211, Average Loss  0.825432, Time  0.305778
2021-09-12 19:25:13.141288 : Epoch 10, Batch   1086, Loss  0.809517, Average Loss  0.825326, Time  0.281496
2021-09-12 19:25:17.243064 : Epoch 10, Batch   1087, Loss  0.826097, Average Loss  0.825329, Time  0.288178
2021-09-12 19:25:22.148302 : Epoch 10, Batch   1088, Loss  0.830362, Average Loss  0.825413, Time  0.242736
2021-09-12 19:25:26.313184 : Epoch 10, Batch   1089, Loss  0.832603, Average Loss  0.825340, Time  0.284186
2021-09-12 19:25:32.446892 : Epoch 10, Batch   1090, Loss  0.843729, Average Loss  0.825465, Time  0.257493
2021-09-12 19:25:36.357889 : Epoch 10, Batch   1091, Loss  0.840864, Average Loss  0.825482, Time  0.249511
2021-09-12 19:25:40.742455 : Epoch 10, Batch   1092, Loss  0.846741, Average Loss  0.825625, Time  0.254640
2021-09-12 19:25:48.223137 : Epoch 10, Batch   1093, Loss  0.806366, Average Loss  0.825538, Time  0.554095
2021-09-12 19:25:55.978016 : Epoch 10, Batch   1094, Loss  0.826134, Average Loss  0.825466, Time  0.329213
2021-09-12 19:26:01.553402 : Epoch 10, Batch   1095, Loss  0.820255, Average Loss  0.825459, Time  0.560845
2021-09-12 19:26:04.679092 : Epoch 10, Batch   1096, Loss  0.823735, Average Loss  0.825451, Time  0.237212
2021-09-12 19:39:56.299029 : CheckPoint: Validation Loss  0.00028898, Best Loss  0.00027575
2021-09-12 19:40:04.834151 : Epoch 10, Batch   1097, Loss  0.847201, Average Loss  0.825524, Time  0.416802
2021-09-12 19:40:12.226269 : Epoch 10, Batch   1098, Loss  0.820588, Average Loss  0.825449, Time  0.329299
2021-09-12 19:40:18.472439 : Epoch 10, Batch   1099, Loss  0.818223, Average Loss  0.825416, Time  0.317599
2021-09-12 19:40:28.730942 : Epoch 10, Batch   1100, Loss  0.831915, Average Loss  0.825304, Time  0.435534
2021-09-12 19:40:35.343133 : Epoch 10, Batch   1101, Loss  0.809657, Average Loss  0.825154, Time  0.385357
2021-09-12 19:40:42.325680 : Epoch 10, Batch   1102, Loss  0.811206, Average Loss  0.825012, Time  0.408108
2021-09-12 19:40:48.172713 : Epoch 10, Batch   1103, Loss  0.814968, Average Loss  0.825036, Time  0.470634
2021-09-12 19:40:54.727675 : Epoch 10, Batch   1104, Loss  0.824815, Average Loss  0.825026, Time  0.372984
2021-09-12 19:41:03.736078 : Epoch 10, Batch   1105, Loss  0.829773, Average Loss  0.825022, Time  0.419967
2021-09-12 19:41:10.620061 : Epoch 10, Batch   1106, Loss  0.841363, Average Loss  0.825119, Time  0.365978
2021-09-12 19:41:18.671847 : Epoch 10, Batch   1107, Loss  0.838551, Average Loss  0.825130, Time  0.556459
2021-09-12 19:41:26.777912 : Epoch 10, Batch   1108, Loss  0.841000, Average Loss  0.825255, Time  0.382087
2021-09-12 19:41:32.668958 : Epoch 10, Batch   1109, Loss  0.821833, Average Loss  0.825266, Time  0.293681
2021-09-12 19:41:37.610138 : Epoch 10, Batch   1110, Loss  0.814209, Average Loss  0.825073, Time  0.305547
2021-09-12 19:41:44.753886 : Epoch 10, Batch   1111, Loss  0.803920, Average Loss  0.824950, Time  0.360471
2021-09-12 19:41:50.208811 : Epoch 10, Batch   1112, Loss  0.827256, Average Loss  0.825006, Time  0.319838
2021-09-12 19:41:56.586835 : Epoch 10, Batch   1113, Loss  0.819808, Average Loss  0.824973, Time  0.247258
2021-09-12 19:42:03.891609 : Epoch 10, Batch   1114, Loss  0.800135, Average Loss  0.824925, Time  0.457503
2021-09-12 19:42:09.873147 : Epoch 10, Batch   1115, Loss  0.820945, Average Loss  0.824866, Time  0.309738
2021-09-12 19:42:15.685087 : Epoch 10, Batch   1116, Loss  0.818861, Average Loss  0.824741, Time  0.308636
2021-09-12 19:42:25.469748 : Epoch 10, Batch   1117, Loss  0.853011, Average Loss  0.824876, Time  0.451019
2021-09-12 19:42:30.164061 : Epoch 10, Batch   1118, Loss  0.811226, Average Loss  0.824822, Time  0.312943
2021-09-12 19:42:35.705178 : Epoch 10, Batch   1119, Loss  0.812280, Average Loss  0.824706, Time  0.427029
2021-09-12 19:42:41.682393 : Epoch 10, Batch   1120, Loss  0.834598, Average Loss  0.824714, Time  0.271006
2021-09-12 19:42:47.731802 : Epoch 10, Batch   1121, Loss  0.798364, Average Loss  0.824516, Time  0.348798
2021-09-12 19:42:56.044700 : Epoch 10, Batch   1122, Loss  0.837632, Average Loss  0.824672, Time  0.527172
2021-09-12 19:43:03.213193 : Epoch 10, Batch   1123, Loss  0.821555, Average Loss  0.824578, Time  0.329138
2021-09-12 19:43:08.292828 : Epoch 10, Batch   1124, Loss  0.838559, Average Loss  0.824618, Time  0.339142
2021-09-12 19:43:16.552952 : Epoch 10, Batch   1125, Loss  0.833543, Average Loss  0.824581, Time  0.483074
2021-09-12 19:43:19.446814 : Epoch 10, Batch   1126, Loss  0.824787, Average Loss  0.824665, Time  0.254145
2021-09-12 19:43:25.918469 : Epoch 10, Batch   1127, Loss  0.822115, Average Loss  0.824503, Time  0.344194
2021-09-12 19:43:31.625812 : Epoch 10, Batch   1128, Loss  0.826474, Average Loss  0.824415, Time  0.334975
2021-09-12 19:43:37.677820 : Epoch 10, Batch   1129, Loss  0.820023, Average Loss  0.824484, Time  0.289550
2021-09-12 19:43:43.639990 : Epoch 10, Batch   1130, Loss  0.822869, Average Loss  0.824425, Time  0.446842
2021-09-12 19:43:48.126883 : Epoch 10, Batch   1131, Loss  0.817155, Average Loss  0.824522, Time  0.483529
2021-09-12 19:43:54.215360 : Epoch 10, Batch   1132, Loss  0.828079, Average Loss  0.824479, Time  0.294333
2021-09-12 19:43:58.958064 : Epoch 10, Batch   1133, Loss  0.822888, Average Loss  0.824401, Time  0.260965
2021-09-12 19:44:04.295826 : Epoch 10, Batch   1134, Loss  0.830640, Average Loss  0.824481, Time  0.286800
2021-09-12 19:44:09.965004 : Epoch 10, Batch   1135, Loss  0.821852, Average Loss  0.824568, Time  0.349875
2021-09-12 19:44:14.650231 : Epoch 10, Batch   1136, Loss  0.818009, Average Loss  0.824549, Time  0.317533
2021-09-12 19:44:18.167803 : Epoch 10, Batch   1137, Loss  0.800936, Average Loss  0.824498, Time  0.411860
2021-09-12 19:44:24.821287 : Epoch 10, Batch   1138, Loss  0.836848, Average Loss  0.824608, Time  0.314745
2021-09-12 19:44:31.588083 : Epoch 10, Batch   1139, Loss  0.831275, Average Loss  0.824636, Time  0.293551
2021-09-12 19:44:39.644508 : Epoch 10, Batch   1140, Loss  0.831844, Average Loss  0.824668, Time  0.389649
2021-09-12 19:44:45.916094 : Epoch 10, Batch   1141, Loss  0.829161, Average Loss  0.824746, Time  0.275034
2021-09-12 19:44:49.065969 : Epoch 10, Batch   1142, Loss  0.842824, Average Loss  0.824856, Time  0.310234
2021-09-12 19:44:55.024305 : Epoch 10, Batch   1143, Loss  0.814440, Average Loss  0.824685, Time  0.251937
2021-09-12 19:45:00.681687 : Epoch 10, Batch   1144, Loss  0.833549, Average Loss  0.824714, Time  0.298187
2021-09-12 19:45:05.394810 : Epoch 10, Batch   1145, Loss  0.831561, Average Loss  0.824742, Time  0.363587
2021-09-12 19:45:09.715399 : Epoch 10, Batch   1146, Loss  0.847167, Average Loss  0.824792, Time  0.360041
2021-09-12 19:45:16.132505 : Epoch 10, Batch   1147, Loss  0.840070, Average Loss  0.824929, Time  0.404108
2021-09-12 19:45:22.631323 : Epoch 10, Batch   1148, Loss  0.821564, Average Loss  0.824837, Time  0.333000
2021-09-12 19:45:26.632885 : Epoch 10, Batch   1149, Loss  0.829890, Average Loss  0.824822, Time  0.307231
2021-09-12 19:45:32.198914 : Epoch 10, Batch   1150, Loss  0.811498, Average Loss  0.824733, Time  0.269207
2021-09-12 19:45:37.482356 : Epoch 10, Batch   1151, Loss  0.814695, Average Loss  0.824699, Time  0.244562
2021-09-12 19:45:41.067822 : Epoch 10, Batch   1152, Loss  0.840311, Average Loss  0.824716, Time  0.279811
2021-09-12 19:45:45.768868 : Epoch 10, Batch   1153, Loss  0.831446, Average Loss  0.824776, Time  0.267056
2021-09-12 19:45:54.846381 : Epoch 10, Batch   1154, Loss  0.822299, Average Loss  0.824804, Time  0.380480
2021-09-12 19:46:01.752787 : Epoch 10, Batch   1155, Loss  0.823429, Average Loss  0.824829, Time  0.276473
2021-09-12 19:46:06.921773 : Epoch 10, Batch   1156, Loss  0.834513, Average Loss  0.824734, Time  0.310137
2021-09-12 19:46:12.640783 : Epoch 10, Batch   1157, Loss  0.815857, Average Loss  0.824584, Time  0.337476
2021-09-12 19:46:18.288042 : Epoch 10, Batch   1158, Loss  0.834532, Average Loss  0.824649, Time  0.333049
2021-09-12 19:46:21.843130 : Epoch 10, Batch   1159, Loss  0.843459, Average Loss  0.824669, Time  0.315265
2021-09-12 19:46:27.497983 : Epoch 10, Batch   1160, Loss  0.827240, Average Loss  0.824755, Time  0.331076
2021-09-12 19:46:33.620190 : Epoch 10, Batch   1161, Loss  0.835144, Average Loss  0.824924, Time  0.276331
2021-09-12 19:46:40.028023 : Epoch 10, Batch   1162, Loss  0.822290, Average Loss  0.824993, Time  0.296793
2021-09-12 19:46:49.483047 : Epoch 10, Batch   1163, Loss  0.839027, Average Loss  0.825058, Time  0.422534
2021-09-12 19:46:54.801876 : Epoch 10, Batch   1164, Loss  0.820053, Average Loss  0.825019, Time  0.328242
2021-09-12 19:47:02.893189 : Epoch 10, Batch   1165, Loss  0.838268, Average Loss  0.825076, Time  0.401214
2021-09-12 19:47:09.241783 : Epoch 10, Batch   1166, Loss  0.850105, Average Loss  0.825278, Time  0.291178
2021-09-12 19:47:16.227880 : Epoch 10, Batch   1167, Loss  0.822507, Average Loss  0.825266, Time  0.288387
2021-09-12 19:47:20.554124 : Epoch 10, Batch   1168, Loss  0.809142, Average Loss  0.825319, Time  0.333738
2021-09-12 19:47:27.638077 : Epoch 10, Batch   1169, Loss  0.836521, Average Loss  0.825324, Time  0.294518
2021-09-12 19:47:34.155138 : Epoch 10, Batch   1170, Loss  0.814070, Average Loss  0.825242, Time  0.377785
2021-09-12 19:47:40.504530 : Epoch 10, Batch   1171, Loss  0.811616, Average Loss  0.825144, Time  0.304911
2021-09-12 19:47:45.861304 : Epoch 10, Batch   1172, Loss  0.856184, Average Loss  0.825404, Time  0.254590
2021-09-12 19:47:53.272068 : Epoch 10, Batch   1173, Loss  0.830170, Average Loss  0.825365, Time  0.346927
2021-09-12 19:47:59.019137 : Epoch 10, Batch   1174, Loss  0.802323, Average Loss  0.825284, Time  0.357278
2021-09-12 19:48:03.257871 : Epoch 10, Batch   1175, Loss  0.826213, Average Loss  0.825235, Time  0.301137
2021-09-12 19:48:10.144905 : Epoch 10, Batch   1176, Loss  0.827314, Average Loss  0.825252, Time  0.268883
2021-09-12 19:48:16.077968 : Epoch 10, Batch   1177, Loss  0.835930, Average Loss  0.825351, Time  0.282686
2021-09-12 19:48:22.181321 : Epoch 10, Batch   1178, Loss  0.829257, Average Loss  0.825355, Time  0.244141
2021-09-12 19:48:27.128877 : Epoch 10, Batch   1179, Loss  0.822258, Average Loss  0.825370, Time  0.359713
2021-09-12 19:48:32.681326 : Epoch 10, Batch   1180, Loss  0.818062, Average Loss  0.825385, Time  0.367574
2021-09-12 19:48:36.903311 : Epoch 10, Batch   1181, Loss  0.812671, Average Loss  0.825335, Time  0.350194
2021-09-12 19:48:40.650820 : Epoch 10, Batch   1182, Loss  0.809891, Average Loss  0.825274, Time  0.291985
2021-09-12 19:48:43.849862 : Epoch 10, Batch   1183, Loss  0.826059, Average Loss  0.825256, Time  0.259243
2021-09-12 19:48:49.163896 : Epoch 10, Batch   1184, Loss  0.839226, Average Loss  0.825372, Time  0.289729
2021-09-12 19:48:52.848033 : Epoch 10, Batch   1185, Loss  0.827620, Average Loss  0.825441, Time  0.305040
2021-09-12 19:48:57.287086 : Epoch 10, Batch   1186, Loss  0.801485, Average Loss  0.825286, Time  0.271007
2021-09-12 19:49:03.721290 : Epoch 10, Batch   1187, Loss  0.828624, Average Loss  0.825336, Time  0.244587
2021-09-12 19:49:08.621390 : Epoch 10, Batch   1188, Loss  0.817742, Average Loss  0.825216, Time  0.338660
2021-09-12 19:49:14.443293 : Epoch 10, Batch   1189, Loss  0.814107, Average Loss  0.825183, Time  0.409224
2021-09-12 19:49:19.740104 : Epoch 10, Batch   1190, Loss  0.804810, Average Loss  0.825115, Time  0.290844
2021-09-12 19:49:24.799949 : Epoch 10, Batch   1191, Loss  0.836481, Average Loss  0.825327, Time  0.335717
2021-09-12 19:49:29.401158 : Epoch 10, Batch   1192, Loss  0.827931, Average Loss  0.825410, Time  0.274697
2021-09-12 19:49:34.635810 : Epoch 10, Batch   1193, Loss  0.819881, Average Loss  0.825463, Time  0.351188
2021-09-12 19:49:40.428958 : Epoch 10, Batch   1194, Loss  0.836473, Average Loss  0.825431, Time  0.250889
2021-09-12 19:49:43.379868 : Epoch 10, Batch   1195, Loss  0.844639, Average Loss  0.825486, Time  0.262455
2021-09-12 19:49:47.714004 : Epoch 10, Batch   1196, Loss  0.834393, Average Loss  0.825525, Time  0.249946
2021-09-12 19:57:27.252150 : CheckPoint: Validation Loss  0.00028193, Best Loss  0.00027575
2021-09-12 19:57:38.148039 : Epoch 10, Batch   1197, Loss  0.823413, Average Loss  0.825471, Time  0.383398
2021-09-12 19:57:43.584354 : Epoch 10, Batch   1198, Loss  0.811908, Average Loss  0.825375, Time  0.363116
2021-09-12 19:57:50.474946 : Epoch 10, Batch   1199, Loss  0.814338, Average Loss  0.825335, Time  0.475311
2021-09-12 19:57:54.982296 : Epoch 10, Batch   1200, Loss  0.838585, Average Loss  0.825397, Time  0.314738
2021-09-12 19:57:58.950033 : Epoch 10, Batch   1201, Loss  0.835170, Average Loss  0.825589, Time  0.280487
2021-09-12 19:58:01.983297 : Epoch 10, Batch   1202, Loss  0.828147, Average Loss  0.825714, Time  0.305346
2021-09-12 19:58:07.165977 : Epoch 10, Batch   1203, Loss  0.844126, Average Loss  0.825877, Time  0.306795
2021-09-12 19:58:12.499480 : Epoch 10, Batch   1204, Loss  0.818761, Average Loss  0.825799, Time  0.292574
2021-09-12 19:58:15.703434 : Epoch 10, Batch   1205, Loss  0.819663, Average Loss  0.825805, Time  0.283167
2021-09-12 19:58:18.372806 : Epoch 10, Batch   1206, Loss  0.818159, Average Loss  0.825717, Time  0.259896
2021-09-12 19:58:23.621830 : Epoch 10, Batch   1207, Loss  0.844071, Average Loss  0.825721, Time  0.254159
2021-09-12 19:58:27.664284 : Epoch 10, Batch   1208, Loss  0.835759, Average Loss  0.825905, Time  0.236559
2021-09-12 19:58:30.898808 : Epoch 10, Batch   1209, Loss  0.824944, Average Loss  0.825962, Time  0.287818
2021-09-12 19:58:35.832603 : Epoch 10, Batch   1210, Loss  0.845616, Average Loss  0.826037, Time  0.700538
2021-09-12 19:58:39.755205 : Epoch 10, Batch   1211, Loss  0.829488, Average Loss  0.825906, Time  0.291653
2021-09-12 19:58:44.777909 : Epoch 10, Batch   1212, Loss  0.841082, Average Loss  0.826056, Time  0.306527
2021-09-12 19:58:48.852887 : Epoch 10, Batch   1213, Loss  0.822759, Average Loss  0.825990, Time  0.318136
2021-09-12 19:58:52.501931 : Epoch 10, Batch   1214, Loss  0.815778, Average Loss  0.825980, Time  0.266944
2021-09-12 19:58:57.494860 : Epoch 10, Batch   1215, Loss  0.816705, Average Loss  0.825964, Time  0.277385
2021-09-12 19:59:03.849308 : Epoch 10, Batch   1216, Loss  0.803540, Average Loss  0.825802, Time  0.430508
2021-09-12 19:59:07.348334 : Epoch 10, Batch   1217, Loss  0.816027, Average Loss  0.825698, Time  0.291219
2021-09-12 19:59:12.312949 : Epoch 10, Batch   1218, Loss  0.809226, Average Loss  0.825692, Time  0.274446
2021-09-12 19:59:18.251439 : Epoch 10, Batch   1219, Loss  0.836674, Average Loss  0.825706, Time  0.372833
2021-09-12 19:59:25.197856 : Epoch 10, Batch   1220, Loss  0.827834, Average Loss  0.825791, Time  0.364172
2021-09-12 19:59:31.415318 : Epoch 10, Batch   1221, Loss  0.807260, Average Loss  0.825698, Time  0.351123
2021-09-12 19:59:35.135337 : Epoch 10, Batch   1222, Loss  0.827554, Average Loss  0.825685, Time  0.297692
2021-09-12 19:59:40.263200 : Epoch 10, Batch   1223, Loss  0.824598, Average Loss  0.825678, Time  0.272228
2021-09-12 19:59:45.497071 : Epoch 10, Batch   1224, Loss  0.825315, Average Loss  0.825641, Time  0.336442
2021-09-12 19:59:49.593745 : Epoch 10, Batch   1225, Loss  0.854602, Average Loss  0.825773, Time  0.244671
2021-09-12 19:59:52.170997 : Epoch 10, Batch   1226, Loss  0.821504, Average Loss  0.825751, Time  0.236725
2021-09-12 19:59:55.456067 : Epoch 10, Batch   1227, Loss  0.822180, Average Loss  0.825770, Time  0.236465
2021-09-12 20:00:01.590806 : Epoch 10, Batch   1228, Loss  0.817733, Average Loss  0.825683, Time  0.334396
2021-09-12 20:00:07.446869 : Epoch 10, Batch   1229, Loss  0.837250, Average Loss  0.825734, Time  0.368663
2021-09-12 20:00:12.285956 : Epoch 10, Batch   1230, Loss  0.859064, Average Loss  0.825890, Time  0.237046
2021-09-12 20:00:15.417226 : Epoch 10, Batch   1231, Loss  0.811565, Average Loss  0.825918, Time  0.259116
2021-09-12 20:00:20.614004 : Epoch 10, Batch   1232, Loss  0.828851, Average Loss  0.825951, Time  0.329920
2021-09-12 20:00:23.554038 : Epoch 10, Batch   1233, Loss  0.836596, Average Loss  0.826085, Time  0.289744
2021-09-12 20:00:26.470986 : Epoch 10, Batch   1234, Loss  0.839100, Average Loss  0.826055, Time  0.270663
2021-09-12 20:00:30.850158 : Epoch 10, Batch   1235, Loss  0.803932, Average Loss  0.825931, Time  0.301025
2021-09-12 20:00:36.547005 : Epoch 10, Batch   1236, Loss  0.836561, Average Loss  0.825997, Time  0.283234
2021-09-12 20:00:41.402026 : Epoch 10, Batch   1237, Loss  0.830157, Average Loss  0.826036, Time  0.259423
2021-09-12 20:00:49.300733 : Epoch 10, Batch   1238, Loss  0.831604, Average Loss  0.826033, Time  0.404985
2021-09-12 20:00:54.651863 : Epoch 10, Batch   1239, Loss  0.794837, Average Loss  0.825827, Time  0.336430
2021-09-12 20:01:00.881917 : Epoch 10, Batch   1240, Loss  0.820535, Average Loss  0.825973, Time  0.285992
2021-09-12 20:01:04.767367 : Epoch 10, Batch   1241, Loss  0.825064, Average Loss  0.825907, Time  0.392954
2021-09-12 20:01:11.311015 : Epoch 10, Batch   1242, Loss  0.826164, Average Loss  0.825941, Time  0.345364
2021-09-12 20:01:17.106458 : Epoch 10, Batch   1243, Loss  0.828502, Average Loss  0.826018, Time  0.337964
2021-09-12 20:01:21.020995 : Epoch 10, Batch   1244, Loss  0.825465, Average Loss  0.826029, Time  0.269449
2021-09-12 20:01:24.745785 : Epoch 10, Batch   1245, Loss  0.802667, Average Loss  0.825938, Time  0.262772
2021-09-12 20:01:28.678794 : Epoch 10, Batch   1246, Loss  0.804197, Average Loss  0.825864, Time  0.305629
2021-09-12 20:01:34.683320 : Epoch 10, Batch   1247, Loss  0.818411, Average Loss  0.825826, Time  0.286310
2021-09-12 20:01:38.912807 : Epoch 10, Batch   1248, Loss  0.825303, Average Loss  0.825858, Time  0.382613
2021-09-12 20:01:45.860207 : Epoch 10, Batch   1249, Loss  0.835679, Average Loss  0.825838, Time  0.236130
2021-09-12 20:01:51.554895 : Epoch 10, Batch   1250, Loss  0.823960, Average Loss  0.825927, Time  0.236170
2021-09-12 20:01:55.358895 : Epoch 10, Batch   1251, Loss  0.811562, Average Loss  0.825769, Time  0.236014
2021-09-12 20:02:00.614181 : Epoch 10, Batch   1252, Loss  0.833614, Average Loss  0.825819, Time  0.312928
2021-09-12 20:02:05.199282 : Epoch 10, Batch   1253, Loss  0.812330, Average Loss  0.825830, Time  0.317622
2021-09-12 20:02:08.805013 : Epoch 10, Batch   1254, Loss  0.836134, Average Loss  0.825982, Time  0.279819
2021-09-12 20:02:13.723435 : Epoch 10, Batch   1255, Loss  0.822695, Average Loss  0.826104, Time  0.309334
2021-09-12 20:02:18.082433 : Epoch 10, Batch   1256, Loss  0.846492, Average Loss  0.826376, Time  0.262516
2021-09-12 20:02:21.047785 : Epoch 10, Batch   1257, Loss  0.813114, Average Loss  0.826359, Time  0.236733
2021-09-12 20:02:24.681297 : Epoch 10, Batch   1258, Loss  0.842965, Average Loss  0.826377, Time  0.324914
2021-09-12 20:02:30.763061 : Epoch 10, Batch   1259, Loss  0.815037, Average Loss  0.826288, Time  0.342543
2021-09-12 20:02:34.100464 : Epoch 10, Batch   1260, Loss  0.820766, Average Loss  0.826147, Time  0.247256
2021-09-12 20:02:36.838089 : Epoch 10, Batch   1261, Loss  0.819706, Average Loss  0.826180, Time  0.270822
2021-09-12 20:02:40.175292 : Epoch 10, Batch   1262, Loss  0.825281, Average Loss  0.826193, Time  0.269707
2021-09-12 20:02:45.126323 : Epoch 10, Batch   1263, Loss  0.834934, Average Loss  0.826206, Time  0.272803
2021-09-12 20:02:48.714004 : Epoch 10, Batch   1264, Loss  0.827910, Average Loss  0.826206, Time  0.299811
2021-09-12 20:02:53.826074 : Epoch 10, Batch   1265, Loss  0.835682, Average Loss  0.826212, Time  0.318009
2021-09-12 20:02:57.858931 : Epoch 10, Batch   1266, Loss  0.817395, Average Loss  0.826143, Time  0.273087
2021-09-12 20:03:02.670949 : Epoch 10, Batch   1267, Loss  0.795072, Average Loss  0.825991, Time  0.236598
2021-09-12 20:03:06.440035 : Epoch 10, Batch   1268, Loss  0.808464, Average Loss  0.825911, Time  0.277805
2021-09-12 20:03:12.151937 : Epoch 10, Batch   1269, Loss  0.831055, Average Loss  0.825926, Time  0.249465
2021-09-12 20:03:16.098948 : Epoch 10, Batch   1270, Loss  0.822712, Average Loss  0.825962, Time  0.264777
2021-09-12 20:03:19.514998 : Epoch 10, Batch   1271, Loss  0.837165, Average Loss  0.825933, Time  0.258337
2021-09-12 20:03:24.748842 : Epoch 10, Batch   1272, Loss  0.815383, Average Loss  0.825880, Time  0.298088
2021-09-12 20:03:28.764897 : Epoch 10, Batch   1273, Loss  0.811773, Average Loss  0.825732, Time  0.236666
2021-09-12 20:03:32.571790 : Epoch 10, Batch   1274, Loss  0.821534, Average Loss  0.825816, Time  0.305164
2021-09-12 20:03:37.734829 : Epoch 10, Batch   1275, Loss  0.822184, Average Loss  0.825680, Time  0.294904
2021-09-12 20:03:45.215876 : Epoch 10, Batch   1276, Loss  0.818863, Average Loss  0.825526, Time  0.322356
2021-09-12 20:03:49.830808 : Epoch 10, Batch   1277, Loss  0.829762, Average Loss  0.825497, Time  0.273414
2021-09-12 20:03:54.407108 : Epoch 10, Batch   1278, Loss  0.822977, Average Loss  0.825398, Time  0.252908
2021-09-12 20:03:59.246959 : Epoch 10, Batch   1279, Loss  0.814472, Average Loss  0.825432, Time  0.353606
2021-09-12 20:04:02.932293 : Epoch 10, Batch   1280, Loss  0.806067, Average Loss  0.825374, Time  0.279798
2021-09-12 20:04:08.792946 : Epoch 10, Batch   1281, Loss  0.838568, Average Loss  0.825498, Time  0.268348
2021-09-12 20:04:13.037770 : Epoch 10, Batch   1282, Loss  0.828844, Average Loss  0.825529, Time  0.256376
2021-09-12 20:04:17.024998 : Epoch 10, Batch   1283, Loss  0.805660, Average Loss  0.825426, Time  0.297856
2021-09-12 20:04:23.788927 : Epoch 10, Batch   1284, Loss  0.799179, Average Loss  0.825129, Time  0.375849
2021-09-12 20:04:28.556325 : Epoch 10, Batch   1285, Loss  0.836479, Average Loss  0.825135, Time  0.271232
2021-09-12 20:04:31.857807 : Epoch 10, Batch   1286, Loss  0.855840, Average Loss  0.825367, Time  0.293695
2021-09-12 20:04:40.670336 : Epoch 10, Batch   1287, Loss  0.809861, Average Loss  0.825285, Time  0.335655
2021-09-12 20:04:44.260902 : Epoch 10, Batch   1288, Loss  0.817737, Average Loss  0.825222, Time  0.291174
2021-09-12 20:04:51.481802 : Epoch 10, Batch   1289, Loss  0.820278, Average Loss  0.825161, Time  0.264609
2021-09-12 20:04:55.301377 : Epoch 10, Batch   1290, Loss  0.865454, Average Loss  0.825269, Time  0.254444
2021-09-12 20:04:59.253277 : Epoch 10, Batch   1291, Loss  0.797880, Average Loss  0.825054, Time  0.236675
2021-09-12 20:05:03.360793 : Epoch 10, Batch   1292, Loss  0.823180, Average Loss  0.824937, Time  0.267590
2021-09-12 20:05:09.271318 : Epoch 10, Batch   1293, Loss  0.827837, Average Loss  0.825044, Time  0.325366
2021-09-12 20:05:14.667965 : Epoch 10, Batch   1294, Loss  0.817776, Average Loss  0.825002, Time  0.279656
2021-09-12 20:05:17.919408 : Epoch 10, Batch   1295, Loss  0.842077, Average Loss  0.825111, Time  0.260362
2021-09-12 20:05:30.802296 : Epoch 10, Batch   1296, Loss  0.828233, Average Loss  0.825134, Time  0.259092
2021-09-12 20:12:42.710718 : CheckPoint: Validation Loss  0.00028379, Best Loss  0.00027575
2021-09-12 20:12:45.934798 : Epoch 10, Batch   1297, Loss  0.815808, Average Loss  0.824977, Time  0.286230
2021-09-12 20:12:50.937180 : Epoch 10, Batch   1298, Loss  0.818151, Average Loss  0.824965, Time  0.266725
2021-09-12 20:12:56.146279 : Epoch 10, Batch   1299, Loss  0.821623, Average Loss  0.824982, Time  0.312964
2021-09-12 20:13:00.027062 : Epoch 10, Batch   1300, Loss  0.819454, Average Loss  0.824919, Time  0.246908
2021-09-12 20:13:05.394871 : Epoch 10, Batch   1301, Loss  0.843567, Average Loss  0.825089, Time  0.236414
2021-09-12 20:13:10.766903 : Epoch 10, Batch   1302, Loss  0.819742, Average Loss  0.825132, Time  0.330450
2021-09-12 20:13:16.430851 : Epoch 10, Batch   1303, Loss  0.812256, Average Loss  0.825118, Time  0.305911
2021-09-12 20:13:20.178338 : Epoch 10, Batch   1304, Loss  0.848811, Average Loss  0.825238, Time  0.248572
2021-09-12 20:13:25.561759 : Epoch 10, Batch   1305, Loss  0.828536, Average Loss  0.825232, Time  0.269850
2021-09-12 20:13:29.825065 : Epoch 10, Batch   1306, Loss  0.857743, Average Loss  0.825314, Time  0.357393
2021-09-12 20:13:32.984435 : Epoch 10, Batch   1307, Loss  0.839539, Average Loss  0.825319, Time  0.240074
2021-09-12 20:13:37.578696 : Epoch 10, Batch   1308, Loss  0.819881, Average Loss  0.825213, Time  0.294149
2021-09-12 20:13:42.125540 : Epoch 10, Batch   1309, Loss  0.822764, Average Loss  0.825218, Time  0.323707
2021-09-12 20:13:46.752365 : Epoch 10, Batch   1310, Loss  0.820186, Average Loss  0.825248, Time  0.318365
2021-09-12 20:13:51.699139 : Epoch 10, Batch   1311, Loss  0.838505, Average Loss  0.825420, Time  0.264340
2021-09-12 20:13:57.202296 : Epoch 10, Batch   1312, Loss  0.831421, Average Loss  0.825441, Time  0.273932
2021-09-12 20:14:00.579881 : Epoch 10, Batch   1313, Loss  0.800521, Average Loss  0.825345, Time  0.237854
2021-09-12 20:14:04.289010 : Epoch 10, Batch   1314, Loss  0.845529, Average Loss  0.825572, Time  0.286893
2021-09-12 20:14:07.534954 : Epoch 10, Batch   1315, Loss  0.831575, Average Loss  0.825625, Time  0.294044
2021-09-12 20:14:11.479742 : Epoch 10, Batch   1316, Loss  0.805865, Average Loss  0.825560, Time  0.237068
2021-09-12 20:14:17.158833 : Epoch 10, Batch   1317, Loss  0.824643, Average Loss  0.825418, Time  0.289624
2021-09-12 20:14:22.176804 : Epoch 10, Batch   1318, Loss  0.821895, Average Loss  0.825472, Time  0.299509
2021-09-12 20:14:26.166477 : Epoch 10, Batch   1319, Loss  0.825589, Average Loss  0.825538, Time  0.277102
2021-09-12 20:14:31.868920 : Epoch 10, Batch   1320, Loss  0.830993, Average Loss  0.825520, Time  0.267910
2021-09-12 20:14:36.736816 : Epoch 10, Batch   1321, Loss  0.824834, Average Loss  0.825652, Time  0.277129
2021-09-12 20:14:41.870017 : Epoch 10, Batch   1322, Loss  0.811612, Average Loss  0.825522, Time  0.390642
2021-09-12 20:14:46.012133 : Epoch 10, Batch   1323, Loss  0.834494, Average Loss  0.825587, Time  0.378248
2021-09-12 20:14:51.510154 : Epoch 10, Batch   1324, Loss  0.850110, Average Loss  0.825645, Time  0.265220
2021-09-12 20:14:56.325790 : Epoch 10, Batch   1325, Loss  0.823458, Average Loss  0.825594, Time  0.302444
2021-09-12 20:15:01.798854 : Epoch 10, Batch   1326, Loss  0.826806, Average Loss  0.825604, Time  0.266887
2021-09-12 20:15:07.803935 : Epoch 10, Batch   1327, Loss  0.831673, Average Loss  0.825652, Time  0.296665
2021-09-12 20:15:11.652855 : Epoch 10, Batch   1328, Loss  0.836065, Average Loss  0.825700, Time  0.367076
2021-09-12 20:15:16.654219 : Epoch 10, Batch   1329, Loss  0.798004, Average Loss  0.825590, Time  0.291380
2021-09-12 20:15:22.870813 : Epoch 10, Batch   1330, Loss  0.825451, Average Loss  0.825603, Time  0.240100
2021-09-12 20:15:26.269154 : Epoch 10, Batch   1331, Loss  0.831404, Average Loss  0.825674, Time  0.267508
2021-09-12 20:15:33.211978 : Epoch 10, Batch   1332, Loss  0.816564, Average Loss  0.825617, Time  0.241977
2021-09-12 20:15:39.281906 : Epoch 10, Batch   1333, Loss  0.820186, Average Loss  0.825603, Time  0.236594
2021-09-12 20:15:41.919808 : Epoch 10, Batch   1334, Loss  0.810944, Average Loss  0.825505, Time  0.272161
2021-09-12 20:15:47.763087 : Epoch 10, Batch   1335, Loss  0.819284, Average Loss  0.825492, Time  0.286306
2021-09-12 20:15:53.002997 : Epoch 10, Batch   1336, Loss  0.801559, Average Loss  0.825410, Time  0.292982
2021-09-12 20:15:58.988812 : Epoch 10, Batch   1337, Loss  0.815585, Average Loss  0.825483, Time  0.303738
2021-09-12 20:16:05.784437 : Epoch 10, Batch   1338, Loss  0.818551, Average Loss  0.825391, Time  0.429235
2021-09-12 20:16:09.830024 : Epoch 10, Batch   1339, Loss  0.832138, Average Loss  0.825396, Time  0.306049
2021-09-12 20:16:17.220687 : Epoch 10, Batch   1340, Loss  0.853862, Average Loss  0.825506, Time  0.396604
2021-09-12 20:16:22.515075 : Epoch 10, Batch   1341, Loss  0.819678, Average Loss  0.825458, Time  0.283722
2021-09-12 20:16:27.906821 : Epoch 10, Batch   1342, Loss  0.842153, Average Loss  0.825455, Time  0.347311
2021-09-12 20:16:33.099504 : Epoch 10, Batch   1343, Loss  0.823619, Average Loss  0.825501, Time  0.278258
2021-09-12 20:16:39.600328 : Epoch 10, Batch   1344, Loss  0.809103, Average Loss  0.825379, Time  0.298904
2021-09-12 20:16:42.833357 : Epoch 10, Batch   1345, Loss  0.824333, Average Loss  0.825342, Time  0.321525
2021-09-12 20:16:47.376224 : Epoch 10, Batch   1346, Loss  0.820811, Average Loss  0.825211, Time  0.346605
2021-09-12 20:16:52.354350 : Epoch 10, Batch   1347, Loss  0.839555, Average Loss  0.825208, Time  0.330561
2021-09-12 20:16:57.847076 : Epoch 10, Batch   1348, Loss  0.820248, Average Loss  0.825202, Time  0.240880
2021-09-12 20:17:01.479841 : Epoch 10, Batch   1349, Loss  0.833774, Average Loss  0.825221, Time  0.294265
2021-09-12 20:17:06.535942 : Epoch 10, Batch   1350, Loss  0.837147, Average Loss  0.825349, Time  0.254182
2021-09-12 20:17:11.899956 : Epoch 10, Batch   1351, Loss  0.806010, Average Loss  0.825306, Time  0.297026
2021-09-12 20:17:15.730374 : Epoch 10, Batch   1352, Loss  0.834718, Average Loss  0.825278, Time  0.339487
2021-09-12 20:17:20.322382 : Epoch 10, Batch   1353, Loss  0.829765, Average Loss  0.825269, Time  0.300056
2021-09-12 20:17:24.066007 : Epoch 10, Batch   1354, Loss  0.813634, Average Loss  0.825226, Time  0.265149
2021-09-12 20:17:29.897834 : Epoch 10, Batch   1355, Loss  0.811647, Average Loss  0.825167, Time  0.356160
2021-09-12 20:17:34.946424 : Epoch 10, Batch   1356, Loss  0.814522, Average Loss  0.825067, Time  0.349015
2021-09-12 20:17:39.464781 : Epoch 10, Batch   1357, Loss  0.802373, Average Loss  0.825000, Time  0.289598
2021-09-12 20:17:44.898326 : Epoch 10, Batch   1358, Loss  0.843599, Average Loss  0.825045, Time  0.332722
2021-09-12 20:17:52.155014 : Epoch 10, Batch   1359, Loss  0.837755, Average Loss  0.825017, Time  0.410995
2021-09-12 20:17:57.104308 : Epoch 10, Batch   1360, Loss  0.821986, Average Loss  0.824990, Time  0.291602
2021-09-12 20:18:03.008327 : Epoch 10, Batch   1361, Loss  0.822750, Average Loss  0.824928, Time  0.310143
2021-09-12 20:18:06.835131 : Epoch 10, Batch   1362, Loss  0.823528, Average Loss  0.824935, Time  0.267778
2021-09-12 20:18:12.172810 : Epoch 10, Batch   1363, Loss  0.813525, Average Loss  0.824807, Time  0.255449
2021-09-12 20:18:16.047059 : Epoch 10, Batch   1364, Loss  0.819304, Average Loss  0.824803, Time  0.284657
2021-09-12 20:18:20.627501 : Epoch 10, Batch   1365, Loss  0.818704, Average Loss  0.824705, Time  0.277872
2021-09-12 20:18:26.057924 : Epoch 10, Batch   1366, Loss  0.822186, Average Loss  0.824566, Time  0.244919
2021-09-12 20:18:32.085607 : Epoch 10, Batch   1367, Loss  0.839442, Average Loss  0.824651, Time  0.245715
2021-09-12 20:18:36.034094 : Epoch 10, Batch   1368, Loss  0.836071, Average Loss  0.824785, Time  0.334277
2021-09-12 20:18:41.432034 : Epoch 10, Batch   1369, Loss  0.844741, Average Loss  0.824826, Time  0.309894
2021-09-12 20:18:45.720939 : Epoch 10, Batch   1370, Loss  0.827066, Average Loss  0.824891, Time  0.288777
2021-09-12 20:18:51.289880 : Epoch 10, Batch   1371, Loss  0.826119, Average Loss  0.824964, Time  0.248036
2021-09-12 20:18:56.283331 : Epoch 10, Batch   1372, Loss  0.798995, Average Loss  0.824678, Time  0.275598
2021-09-12 20:18:59.131009 : Epoch 10, Batch   1373, Loss  0.830616, Average Loss  0.824680, Time  0.311047
2021-09-12 20:19:06.025079 : Epoch 10, Batch   1374, Loss  0.828442, Average Loss  0.824811, Time  0.294609
2021-09-12 20:19:11.905268 : Epoch 10, Batch   1375, Loss  0.840592, Average Loss  0.824883, Time  0.243007
2021-09-12 20:19:16.948355 : Epoch 10, Batch   1376, Loss  0.821343, Average Loss  0.824853, Time  0.236022
2021-09-12 20:19:21.823758 : Epoch 10, Batch   1377, Loss  0.799549, Average Loss  0.824671, Time  0.285009
2021-09-12 20:19:27.030028 : Epoch 10, Batch   1378, Loss  0.833575, Average Loss  0.824692, Time  0.338193
2021-09-12 20:19:32.238854 : Epoch 10, Batch   1379, Loss  0.815774, Average Loss  0.824660, Time  0.322093
2021-09-12 20:19:35.990312 : Epoch 10, Batch   1380, Loss  0.827120, Average Loss  0.824705, Time  0.275496
2021-09-12 20:19:40.642763 : Epoch 10, Batch   1381, Loss  0.824577, Average Loss  0.824765, Time  0.236456
2021-09-12 20:19:46.096908 : Epoch 10, Batch   1382, Loss  0.819824, Average Loss  0.824814, Time  0.301570
2021-09-12 20:19:52.528177 : Epoch 10, Batch   1383, Loss  0.824704, Average Loss  0.824808, Time  0.364178
2021-09-12 20:19:58.726121 : Epoch 10, Batch   1384, Loss  0.828788, Average Loss  0.824756, Time  0.290226
2021-09-12 20:20:03.714802 : Epoch 10, Batch   1385, Loss  0.852677, Average Loss  0.824881, Time  0.256727
2021-09-12 20:20:07.477258 : Epoch 10, Batch   1386, Loss  0.830672, Average Loss  0.825027, Time  0.258933
2021-09-12 20:20:14.794298 : Epoch 10, Batch   1387, Loss  0.786924, Average Loss  0.824818, Time  0.283921
2021-09-12 20:20:18.642320 : Epoch 10, Batch   1388, Loss  0.808480, Average Loss  0.824772, Time  0.283557
2021-09-12 20:20:22.649910 : Epoch 10, Batch   1389, Loss  0.829412, Average Loss  0.824848, Time  0.265003
2021-09-12 20:20:27.093881 : Epoch 10, Batch   1390, Loss  0.838334, Average Loss  0.825016, Time  0.264673
2021-09-12 20:20:31.839825 : Epoch 10, Batch   1391, Loss  0.815484, Average Loss  0.824911, Time  0.293039
2021-09-12 20:20:36.361300 : Epoch 10, Batch   1392, Loss  0.810955, Average Loss  0.824826, Time  0.314308
2021-09-12 20:20:40.117835 : Epoch 10, Batch   1393, Loss  0.808854, Average Loss  0.824771, Time  0.246609
2021-09-12 20:20:44.609346 : Epoch 10, Batch   1394, Loss  0.813850, Average Loss  0.824658, Time  0.276025
2021-09-12 20:20:47.895089 : Epoch 10, Batch   1395, Loss  0.847942, Average Loss  0.824674, Time  0.289787
2021-09-12 20:20:54.781276 : Epoch 10, Batch   1396, Loss  0.813493, Average Loss  0.824570, Time  0.299573
2021-09-12 20:33:46.462870 : CheckPoint: Validation Loss  0.00028857, Best Loss  0.00027575
2021-09-12 20:33:55.289270 : Epoch 10, Batch   1397, Loss  0.820592, Average Loss  0.824556, Time  0.481378
2021-09-12 20:34:01.529654 : Epoch 10, Batch   1398, Loss  0.838447, Average Loss  0.824689, Time  0.328841
2021-09-12 20:34:09.732359 : Epoch 10, Batch   1399, Loss  0.823255, Average Loss  0.824733, Time  0.474243
2021-09-12 20:34:18.950086 : Epoch 10, Batch   1400, Loss  0.824538, Average Loss  0.824663, Time  0.310577
2021-09-12 20:34:27.751470 : Epoch 10, Batch   1401, Loss  0.824505, Average Loss  0.824610, Time  0.270850
2021-09-12 20:34:37.658160 : Epoch 10, Batch   1402, Loss  0.849049, Average Loss  0.824714, Time  0.377202
2021-09-12 20:34:45.310943 : Epoch 10, Batch   1403, Loss  0.816621, Average Loss  0.824577, Time  0.324874
2021-09-12 20:34:52.392772 : Epoch 10, Batch   1404, Loss  0.824007, Average Loss  0.824603, Time  0.238676
2021-09-12 20:35:00.794745 : Epoch 10, Batch   1405, Loss  0.809713, Average Loss  0.824553, Time  0.498626
2021-09-12 20:35:06.042818 : Epoch 10, Batch   1406, Loss  0.824089, Average Loss  0.824583, Time  0.379635
2021-09-12 20:35:15.636125 : Epoch 10, Batch   1407, Loss  0.831209, Average Loss  0.824518, Time  0.316907
2021-09-12 20:35:24.354408 : Epoch 10, Batch   1408, Loss  0.830205, Average Loss  0.824491, Time  0.403924
2021-09-12 20:35:34.613259 : Epoch 10, Batch   1409, Loss  0.817175, Average Loss  0.824452, Time  0.406715
2021-09-12 20:35:45.892553 : Epoch 10, Batch   1410, Loss  0.829053, Average Loss  0.824369, Time  0.351912
2021-09-12 20:35:56.100272 : Epoch 10, Batch   1411, Loss  0.840262, Average Loss  0.824423, Time  0.535348
2021-09-12 20:36:04.376831 : Epoch 10, Batch   1412, Loss  0.853874, Average Loss  0.824487, Time  0.409068
2021-09-12 20:36:11.658665 : Epoch 10, Batch   1413, Loss  0.842406, Average Loss  0.824585, Time  0.343935
2021-09-12 20:36:21.285095 : Epoch 10, Batch   1414, Loss  0.818081, Average Loss  0.824597, Time  0.304037
2021-09-12 20:36:30.404909 : Epoch 10, Batch   1415, Loss  0.817664, Average Loss  0.824601, Time  0.488775
2021-09-12 20:36:40.944913 : Epoch 10, Batch   1416, Loss  0.828267, Average Loss  0.824725, Time  0.447343
2021-09-12 20:36:51.878892 : Epoch 10, Batch   1417, Loss  0.820688, Average Loss  0.824748, Time  0.435756
2021-09-12 20:37:00.912764 : Epoch 10, Batch   1418, Loss  0.846963, Average Loss  0.824937, Time  0.418007
2021-09-12 20:37:06.935027 : Epoch 10, Batch   1419, Loss  0.822091, Average Loss  0.824864, Time  0.263763
2021-09-12 20:37:13.576744 : Epoch 10, Batch   1420, Loss  0.810257, Average Loss  0.824776, Time  0.403690
2021-09-12 20:37:25.066441 : Epoch 10, Batch   1421, Loss  0.840473, Average Loss  0.824942, Time  0.537834
2021-09-12 20:37:31.834532 : Epoch 10, Batch   1422, Loss  0.822423, Average Loss  0.824917, Time  0.314688
2021-09-12 20:37:39.821737 : Epoch 10, Batch   1423, Loss  0.812964, Average Loss  0.824858, Time  0.461683
2021-09-12 20:37:48.812179 : Epoch 10, Batch   1424, Loss  0.856786, Average Loss  0.825016, Time  0.317849
2021-09-12 20:37:58.676720 : Epoch 10, Batch   1425, Loss  0.819664, Average Loss  0.824841, Time  0.458007
2021-09-12 20:38:05.398687 : Epoch 10, Batch   1426, Loss  0.812521, Average Loss  0.824796, Time  0.482383
2021-09-12 20:38:13.312033 : Epoch 10, Batch   1427, Loss  0.800736, Average Loss  0.824689, Time  0.344499
2021-09-12 20:38:19.289180 : Epoch 10, Batch   1428, Loss  0.815469, Average Loss  0.824678, Time  0.319215
2021-09-12 20:38:30.106261 : Epoch 10, Batch   1429, Loss  0.831923, Average Loss  0.824651, Time  0.382150
2021-09-12 20:38:38.946961 : Epoch 10, Batch   1430, Loss  0.818282, Average Loss  0.824447, Time  0.350857
2021-09-12 20:38:46.503612 : Epoch 10, Batch   1431, Loss  0.828533, Average Loss  0.824532, Time  0.257510
2021-09-12 20:38:53.924923 : Epoch 10, Batch   1432, Loss  0.831538, Average Loss  0.824545, Time  0.355153
2021-09-12 20:39:04.013376 : Epoch 10, Batch   1433, Loss  0.822718, Average Loss  0.824476, Time  0.359471
2021-09-12 20:39:12.745758 : Epoch 10, Batch   1434, Loss  0.810378, Average Loss  0.824332, Time  0.393011
2021-09-12 20:39:21.742945 : Epoch 10, Batch   1435, Loss  0.841904, Average Loss  0.824522, Time  0.404736
2021-09-12 20:39:33.178964 : Epoch 10, Batch   1436, Loss  0.824468, Average Loss  0.824462, Time  0.298481
2021-09-12 20:39:41.566307 : Epoch 10, Batch   1437, Loss  0.820120, Average Loss  0.824412, Time  0.381727
2021-09-12 20:39:49.293962 : Epoch 10, Batch   1438, Loss  0.818682, Average Loss  0.824347, Time  0.409536
2021-09-12 20:39:57.050897 : Epoch 10, Batch   1439, Loss  0.838968, Average Loss  0.824568, Time  0.417573
2021-09-12 20:40:07.434787 : Epoch 10, Batch   1440, Loss  0.852791, Average Loss  0.824729, Time  0.465127
2021-09-12 20:40:16.676579 : Epoch 10, Batch   1441, Loss  0.816570, Average Loss  0.824686, Time  0.372806
2021-09-12 20:40:24.291034 : Epoch 10, Batch   1442, Loss  0.808429, Average Loss  0.824598, Time  0.322795
2021-09-12 20:40:33.056923 : Epoch 10, Batch   1443, Loss  0.827849, Average Loss  0.824594, Time  0.398419
2021-09-12 20:40:43.750126 : Epoch 10, Batch   1444, Loss  0.795814, Average Loss  0.824446, Time  0.566467
2021-09-12 20:40:55.394777 : Epoch 10, Batch   1445, Loss  0.836879, Average Loss  0.824617, Time  0.395074
2021-09-12 20:41:02.523425 : Epoch 10, Batch   1446, Loss  0.805456, Average Loss  0.824624, Time  0.302353
2021-09-12 20:41:12.240044 : Epoch 10, Batch   1447, Loss  0.827417, Average Loss  0.824669, Time  0.422151
2021-09-12 20:41:17.351118 : Epoch 10, Batch   1448, Loss  0.845859, Average Loss  0.824771, Time  0.273430
2021-09-12 20:41:25.241073 : Epoch 10, Batch   1449, Loss  0.829686, Average Loss  0.824741, Time  0.402710
2021-09-12 20:41:33.311042 : Epoch 10, Batch   1450, Loss  0.811278, Average Loss  0.824678, Time  0.455503
2021-09-12 20:41:42.005092 : Epoch 10, Batch   1451, Loss  0.850429, Average Loss  0.824872, Time  0.344812
2021-09-12 20:41:49.608752 : Epoch 10, Batch   1452, Loss  0.813695, Average Loss  0.824773, Time  0.458196
2021-09-12 20:42:00.054287 : Epoch 10, Batch   1453, Loss  0.801882, Average Loss  0.824720, Time  0.351320
2021-09-12 20:42:10.172267 : Epoch 10, Batch   1454, Loss  0.857403, Average Loss  0.824827, Time  0.459089
2021-09-12 20:42:19.226345 : Epoch 10, Batch   1455, Loss  0.824337, Average Loss  0.824835, Time  0.358571
2021-09-12 20:42:29.568994 : Epoch 10, Batch   1456, Loss  0.817778, Average Loss  0.824691, Time  0.618693
2021-09-12 20:42:38.595683 : Epoch 10, Batch   1457, Loss  0.809409, Average Loss  0.824673, Time  0.374349
2021-09-12 20:42:47.256615 : Epoch 10, Batch   1458, Loss  0.815964, Average Loss  0.824538, Time  0.360753
2021-09-12 20:42:56.847509 : Epoch 10, Batch   1459, Loss  0.828937, Average Loss  0.824607, Time  0.367563
2021-09-12 20:43:04.207890 : Epoch 10, Batch   1460, Loss  0.835555, Average Loss  0.824681, Time  0.641558
2021-09-12 20:43:11.778337 : Epoch 10, Batch   1461, Loss  0.826734, Average Loss  0.824717, Time  0.290343
2021-09-12 20:43:19.436499 : Epoch 10, Batch   1462, Loss  0.841869, Average Loss  0.824799, Time  0.282228
2021-09-12 20:43:28.594414 : Epoch 10, Batch   1463, Loss  0.826392, Average Loss  0.824757, Time  0.401510
2021-09-12 20:43:36.453968 : Epoch 10, Batch   1464, Loss  0.821550, Average Loss  0.824725, Time  0.411742
2021-09-12 20:43:42.682305 : Epoch 10, Batch   1465, Loss  0.831739, Average Loss  0.824705, Time  0.602874
2021-09-12 20:43:51.154559 : Epoch 10, Batch   1466, Loss  0.831450, Average Loss  0.824776, Time  0.340768
2021-09-12 20:43:58.281467 : Epoch 10, Batch   1467, Loss  0.812528, Average Loss  0.824863, Time  0.328026
2021-09-12 20:44:05.187465 : Epoch 10, Batch   1468, Loss  0.825752, Average Loss  0.824949, Time  0.308777
2021-09-12 20:44:12.739184 : Epoch 10, Batch   1469, Loss  0.846905, Average Loss  0.825028, Time  0.420290
2021-09-12 20:44:19.607680 : Epoch 10, Batch   1470, Loss  0.823497, Average Loss  0.825032, Time  0.383641
2021-09-12 20:44:28.395756 : Epoch 10, Batch   1471, Loss  0.807195, Average Loss  0.824883, Time  0.327533
2021-09-12 20:44:33.998679 : Epoch 10, Batch   1472, Loss  0.834322, Average Loss  0.824977, Time  0.355252
2021-09-12 20:44:39.339858 : Epoch 10, Batch   1473, Loss  0.803905, Average Loss  0.824938, Time  0.291704
2021-09-12 20:44:46.067737 : Epoch 10, Batch   1474, Loss  0.839509, Average Loss  0.825028, Time  0.314844
2021-09-12 20:44:54.921822 : Epoch 10, Batch   1475, Loss  0.820051, Average Loss  0.825017, Time  0.400991
2021-09-12 20:45:03.226073 : Epoch 10, Batch   1476, Loss  0.810479, Average Loss  0.824975, Time  0.387383
2021-09-12 20:45:12.278108 : Epoch 10, Batch   1477, Loss  0.813868, Average Loss  0.824896, Time  0.279929
2021-09-12 20:45:20.781219 : Epoch 10, Batch   1478, Loss  0.813375, Average Loss  0.824848, Time  0.394321
2021-09-12 20:45:30.241269 : Epoch 10, Batch   1479, Loss  0.811182, Average Loss  0.824831, Time  0.364351
2021-09-12 20:45:37.872349 : Epoch 10, Batch   1480, Loss  0.825602, Average Loss  0.824929, Time  0.312772
2021-09-12 20:45:44.441454 : Epoch 10, Batch   1481, Loss  0.839208, Average Loss  0.824932, Time  0.246754
2021-09-12 20:45:55.411773 : Epoch 10, Batch   1482, Loss  0.815350, Average Loss  0.824865, Time  0.384408
2021-09-12 20:46:04.135003 : Epoch 10, Batch   1483, Loss  0.815121, Average Loss  0.824912, Time  0.403552
2021-09-12 20:46:11.552717 : Epoch 10, Batch   1484, Loss  0.825435, Average Loss  0.825043, Time  0.414127
2021-09-12 20:46:17.898145 : Epoch 10, Batch   1485, Loss  0.807601, Average Loss  0.824899, Time  0.315142
2021-09-12 20:46:22.601120 : Epoch 10, Batch   1486, Loss  0.829076, Average Loss  0.824765, Time  0.346156
2021-09-12 20:46:29.195988 : Epoch 10, Batch   1487, Loss  0.835630, Average Loss  0.824894, Time  0.359911
2021-09-12 20:46:37.875090 : Epoch 10, Batch   1488, Loss  0.837454, Average Loss  0.824992, Time  0.364106
2021-09-12 20:46:45.870278 : Epoch 10, Batch   1489, Loss  0.818316, Average Loss  0.824983, Time  0.438596
2021-09-12 20:46:53.022943 : Epoch 10, Batch   1490, Loss  0.819001, Average Loss  0.824750, Time  0.356548
2021-09-12 20:47:02.728801 : Epoch 10, Batch   1491, Loss  0.830554, Average Loss  0.824914, Time  0.597812
2021-09-12 20:47:10.528454 : Epoch 10, Batch   1492, Loss  0.791705, Average Loss  0.824756, Time  0.342881
2021-09-12 20:47:18.291799 : Epoch 10, Batch   1493, Loss  0.835205, Average Loss  0.824793, Time  0.342740
2021-09-12 20:47:29.601784 : Epoch 10, Batch   1494, Loss  0.821530, Average Loss  0.824812, Time  0.314433
2021-09-12 20:47:40.602884 : Epoch 10, Batch   1495, Loss  0.813214, Average Loss  0.824668, Time  0.750523
2021-09-12 20:47:50.196209 : Epoch 10, Batch   1496, Loss  0.836570, Average Loss  0.824709, Time  0.449614
2021-09-12 21:00:36.089827 : CheckPoint: Validation Loss  0.00028758, Best Loss  0.00027575
2021-09-12 21:00:47.322578 : Epoch 10, Batch   1497, Loss  0.818298, Average Loss  0.824722, Time  0.353211
2021-09-12 21:00:54.134006 : Epoch 10, Batch   1498, Loss  0.814966, Average Loss  0.824706, Time  0.353398
2021-09-12 21:01:03.112454 : Epoch 10, Batch   1499, Loss  0.818474, Average Loss  0.824690, Time  0.440665
2021-09-12 21:01:08.104688 : Epoch 10, Batch   1500, Loss  0.822443, Average Loss  0.824705, Time  0.356868
2021-09-12 21:01:15.081278 : Epoch 10, Batch   1501, Loss  0.808771, Average Loss  0.824531, Time  0.481102
2021-09-12 21:01:23.843297 : Epoch 10, Batch   1502, Loss  0.825286, Average Loss  0.824559, Time  0.476713
2021-09-12 21:01:29.964895 : Epoch 10, Batch   1503, Loss  0.826104, Average Loss  0.824628, Time  0.378326
2021-09-12 21:01:39.048992 : Epoch 10, Batch   1504, Loss  0.815887, Average Loss  0.824463, Time  0.417156
2021-09-12 21:01:48.589216 : Epoch 10, Batch   1505, Loss  0.804841, Average Loss  0.824345, Time  0.284819
2021-09-12 21:01:57.483761 : Epoch 10, Batch   1506, Loss  0.813415, Average Loss  0.824123, Time  0.394735
2021-09-12 21:02:06.572951 : Epoch 10, Batch   1507, Loss  0.834823, Average Loss  0.824100, Time  0.376589
2021-09-12 21:02:13.392349 : Epoch 10, Batch   1508, Loss  0.812073, Average Loss  0.824061, Time  0.410138
2021-09-12 21:02:23.525729 : Epoch 10, Batch   1509, Loss  0.806634, Average Loss  0.823980, Time  0.421729
2021-09-12 21:02:32.934264 : Epoch 10, Batch   1510, Loss  0.814688, Average Loss  0.823953, Time  0.268553
2021-09-12 21:02:42.639032 : Epoch 10, Batch   1511, Loss  0.810814, Average Loss  0.823814, Time  0.311248
2021-09-12 21:02:52.380997 : Epoch 10, Batch   1512, Loss  0.815312, Average Loss  0.823734, Time  0.332327
2021-09-12 21:03:02.745334 : Epoch 10, Batch   1513, Loss  0.816929, Average Loss  0.823816, Time  0.376000
2021-09-12 21:03:11.261062 : Epoch 10, Batch   1514, Loss  0.809648, Average Loss  0.823636, Time  0.427554
2021-09-12 21:03:17.716193 : Epoch 10, Batch   1515, Loss  0.808824, Average Loss  0.823522, Time  0.408536
2021-09-12 21:03:23.686160 : Epoch 10, Batch   1516, Loss  0.827008, Average Loss  0.823628, Time  0.355963
2021-09-12 21:03:30.056418 : Epoch 10, Batch   1517, Loss  0.846521, Average Loss  0.823738, Time  0.349158
2021-09-12 21:03:38.113422 : Epoch 10, Batch   1518, Loss  0.848784, Average Loss  0.823872, Time  0.533813
2021-09-12 21:03:45.196992 : Epoch 10, Batch   1519, Loss  0.812995, Average Loss  0.823809, Time  0.456446
2021-09-12 21:03:54.944627 : Epoch 10, Batch   1520, Loss  0.822712, Average Loss  0.823768, Time  0.483486
2021-09-12 21:04:05.818361 : Epoch 10, Batch   1521, Loss  0.812933, Average Loss  0.823708, Time  0.284366
2021-09-12 21:04:12.355282 : Epoch 10, Batch   1522, Loss  0.819299, Average Loss  0.823747, Time  0.334323
2021-09-12 21:04:18.929696 : Epoch 10, Batch   1523, Loss  0.824551, Average Loss  0.823697, Time  0.246719
2021-09-12 21:04:26.963887 : Epoch 10, Batch   1524, Loss  0.800108, Average Loss  0.823447, Time  0.278145
2021-09-12 21:04:35.555800 : Epoch 10, Batch   1525, Loss  0.817352, Average Loss  0.823416, Time  0.355922
2021-09-12 21:04:44.411034 : Epoch 10, Batch   1526, Loss  0.802204, Average Loss  0.823293, Time  0.409276
2021-09-12 21:04:52.095007 : Epoch 10, Batch   1527, Loss  0.830106, Average Loss  0.823285, Time  0.376195
2021-09-12 21:04:58.753632 : Epoch 10, Batch   1528, Loss  0.825263, Average Loss  0.823231, Time  0.403493
2021-09-12 21:05:04.415148 : Epoch 10, Batch   1529, Loss  0.817475, Average Loss  0.823329, Time  0.372947
2021-09-12 21:05:11.343470 : Epoch 10, Batch   1530, Loss  0.824244, Average Loss  0.823323, Time  0.539810
2021-09-12 21:05:20.768845 : Epoch 10, Batch   1531, Loss  0.841207, Average Loss  0.823372, Time  0.408403
2021-09-12 21:05:29.565162 : Epoch 10, Batch   1532, Loss  0.839568, Average Loss  0.823487, Time  0.332851
2021-09-12 21:05:36.943295 : Epoch 10, Batch   1533, Loss  0.821527, Average Loss  0.823494, Time  0.451938
2021-09-12 21:05:47.499242 : Epoch 10, Batch   1534, Loss  0.820426, Average Loss  0.823541, Time  0.286814
2021-09-12 21:05:56.015936 : Epoch 10, Batch   1535, Loss  0.830243, Average Loss  0.823596, Time  0.438305
2021-09-12 21:06:04.467146 : Epoch 10, Batch   1536, Loss  0.820380, Average Loss  0.823690, Time  0.458957
2021-09-12 21:06:10.172814 : Epoch 10, Batch   1537, Loss  0.812953, Average Loss  0.823677, Time  0.446030
2021-09-12 21:06:17.306925 : Epoch 10, Batch   1538, Loss  0.824815, Average Loss  0.823708, Time  0.374909
2021-09-12 21:06:26.180230 : Epoch 10, Batch   1539, Loss  0.841738, Average Loss  0.823756, Time  0.518920
2021-09-12 21:06:34.424947 : Epoch 10, Batch   1540, Loss  0.828799, Average Loss  0.823631, Time  0.429520
2021-09-12 21:06:40.928186 : Epoch 10, Batch   1541, Loss  0.828407, Average Loss  0.823674, Time  0.327600
2021-09-12 21:06:47.164855 : Epoch 10, Batch   1542, Loss  0.812720, Average Loss  0.823527, Time  0.293708
2021-09-12 21:06:57.720939 : Epoch 10, Batch   1543, Loss  0.819404, Average Loss  0.823506, Time  0.343605
2021-09-12 21:07:05.140024 : Epoch 10, Batch   1544, Loss  0.816683, Average Loss  0.823544, Time  0.279342
2021-09-12 21:07:11.318023 : Epoch 10, Batch   1545, Loss  0.813457, Average Loss  0.823490, Time  0.436858
2021-09-12 21:07:20.008882 : Epoch 10, Batch   1546, Loss  0.835039, Average Loss  0.823561, Time  0.425525
2021-09-12 21:07:27.373784 : Epoch 10, Batch   1547, Loss  0.862171, Average Loss  0.823674, Time  0.372711
2021-09-12 21:07:35.373142 : Epoch 10, Batch   1548, Loss  0.809495, Average Loss  0.823620, Time  0.293878
2021-09-12 21:07:40.705927 : Epoch 10, Batch   1549, Loss  0.827598, Average Loss  0.823589, Time  0.507020
2021-09-12 21:07:47.882343 : Epoch 10, Batch   1550, Loss  0.820817, Average Loss  0.823508, Time  0.300584
2021-09-12 21:07:55.946132 : Epoch 10, Batch   1551, Loss  0.832357, Average Loss  0.823639, Time  0.325876
2021-09-12 21:08:04.838283 : Epoch 10, Batch   1552, Loss  0.806071, Average Loss  0.823496, Time  0.568722
2021-09-12 21:08:12.000076 : Epoch 10, Batch   1553, Loss  0.814156, Average Loss  0.823418, Time  0.523916
2021-09-12 21:08:18.327444 : Epoch 10, Batch   1554, Loss  0.825118, Average Loss  0.823475, Time  0.461676
2021-09-12 21:08:26.390816 : Epoch 10, Batch   1555, Loss  0.823878, Average Loss  0.823537, Time  0.438371
2021-09-12 21:08:36.489665 : Epoch 10, Batch   1556, Loss  0.850242, Average Loss  0.823715, Time  0.332999
2021-09-12 21:08:42.978085 : Epoch 10, Batch   1557, Loss  0.814853, Average Loss  0.823778, Time  0.410835
2021-09-12 21:08:49.197438 : Epoch 10, Batch   1558, Loss  0.825741, Average Loss  0.823688, Time  0.454951
2021-09-12 21:08:57.596332 : Epoch 10, Batch   1559, Loss  0.827933, Average Loss  0.823639, Time  0.317949
2021-09-12 21:09:05.669270 : Epoch 10, Batch   1560, Loss  0.836533, Average Loss  0.823712, Time  0.336509
2021-09-12 21:09:13.863807 : Epoch 10, Batch   1561, Loss  0.822491, Average Loss  0.823711, Time  0.434647
2021-09-12 21:09:21.339167 : Epoch 10, Batch   1562, Loss  0.823407, Average Loss  0.823710, Time  0.360559
2021-09-12 21:09:32.693811 : Epoch 10, Batch   1563, Loss  0.839432, Average Loss  0.823840, Time  0.344182
2021-09-12 21:09:43.057820 : Epoch 10, Batch   1564, Loss  0.832343, Average Loss  0.823905, Time  0.463911
2021-09-12 21:09:49.523028 : Epoch 10, Batch   1565, Loss  0.826913, Average Loss  0.823946, Time  0.317101
2021-09-12 21:09:58.485269 : Epoch 10, Batch   1566, Loss  0.814766, Average Loss  0.823909, Time  0.381044
2021-09-12 21:10:07.962381 : Epoch 10, Batch   1567, Loss  0.817346, Average Loss  0.823798, Time  0.376868
2021-09-12 21:10:14.322491 : Epoch 10, Batch   1568, Loss  0.827574, Average Loss  0.823756, Time  0.367040
2021-09-12 21:10:25.168269 : Epoch 10, Batch   1569, Loss  0.830234, Average Loss  0.823683, Time  0.296183
2021-09-12 21:10:31.721730 : Epoch 10, Batch   1570, Loss  0.824055, Average Loss  0.823668, Time  0.320532
2021-09-12 21:10:39.284435 : Epoch 10, Batch   1571, Loss  0.832750, Average Loss  0.823701, Time  0.280064
2021-09-12 21:10:45.535068 : Epoch 10, Batch   1572, Loss  0.794509, Average Loss  0.823679, Time  0.466998
2021-09-12 21:10:51.018591 : Epoch 10, Batch   1573, Loss  0.822022, Average Loss  0.823636, Time  0.476904
2021-09-12 21:10:58.386755 : Epoch 10, Batch   1574, Loss  0.827772, Average Loss  0.823633, Time  0.413512
2021-09-12 21:11:05.524086 : Epoch 10, Batch   1575, Loss  0.820236, Average Loss  0.823531, Time  0.238436
2021-09-12 21:11:14.677026 : Epoch 10, Batch   1576, Loss  0.832272, Average Loss  0.823585, Time  0.408147
2021-09-12 21:11:22.561340 : Epoch 10, Batch   1577, Loss  0.857189, Average Loss  0.823874, Time  0.357765
2021-09-12 21:11:32.099855 : Epoch 10, Batch   1578, Loss  0.831506, Average Loss  0.823863, Time  0.370697
2021-09-12 21:11:39.355993 : Epoch 10, Batch   1579, Loss  0.821354, Average Loss  0.823891, Time  0.291394
2021-09-12 21:11:47.307275 : Epoch 10, Batch   1580, Loss  0.822213, Average Loss  0.823867, Time  0.442998
2021-09-12 21:11:55.612958 : Epoch 10, Batch   1581, Loss  0.811368, Average Loss  0.823801, Time  0.389138
2021-09-12 21:12:02.045044 : Epoch 10, Batch   1582, Loss  0.827192, Average Loss  0.823837, Time  0.319634
2021-09-12 21:12:10.444622 : Epoch 10, Batch   1583, Loss  0.834485, Average Loss  0.823886, Time  0.239277
2021-09-12 21:12:20.293270 : Epoch 10, Batch   1584, Loss  0.869367, Average Loss  0.824089, Time  0.473600
2021-09-12 21:12:26.763355 : Epoch 10, Batch   1585, Loss  0.812302, Average Loss  0.823887, Time  0.648422
2021-09-12 21:12:35.240343 : Epoch 10, Batch   1586, Loss  0.821335, Average Loss  0.823841, Time  0.296438
2021-09-12 21:12:44.154313 : Epoch 10, Batch   1587, Loss  0.831229, Average Loss  0.824062, Time  0.530365
2021-09-12 21:12:53.046835 : Epoch 10, Batch   1588, Loss  0.811945, Average Loss  0.824080, Time  0.531564
2021-09-12 21:13:00.474951 : Epoch 10, Batch   1589, Loss  0.837468, Average Loss  0.824120, Time  0.510286
2021-09-12 21:13:11.830745 : Epoch 10, Batch   1590, Loss  0.838488, Average Loss  0.824121, Time  0.739152
2021-09-12 21:13:17.568130 : Epoch 10, Batch   1591, Loss  0.811661, Average Loss  0.824101, Time  0.311841
2021-09-12 21:13:22.066082 : Epoch 10, Batch   1592, Loss  0.826127, Average Loss  0.824177, Time  0.332060
2021-09-12 21:13:33.131340 : Epoch 10, Batch   1593, Loss  0.820820, Average Loss  0.824237, Time  0.496339
2021-09-12 21:13:43.285112 : Epoch 10, Batch   1594, Loss  0.791448, Average Loss  0.824125, Time  0.462842
2021-09-12 21:13:52.152087 : Epoch 10, Batch   1595, Loss  0.810044, Average Loss  0.823936, Time  0.302906
2021-09-12 21:13:59.681572 : Epoch 10, Batch   1596, Loss  0.822852, Average Loss  0.823982, Time  0.311777
2021-09-12 21:27:29.226836 : CheckPoint: Validation Loss  0.00027580, Best Loss  0.00027575
2021-09-12 21:27:39.036053 : Epoch 10, Batch   1597, Loss  0.839970, Average Loss  0.824079, Time  0.432124
2021-09-12 21:27:44.303902 : Epoch 10, Batch   1598, Loss  0.838038, Average Loss  0.824077, Time  0.262024
2021-09-12 21:27:54.803977 : Epoch 10, Batch   1599, Loss  0.826482, Average Loss  0.824093, Time  0.401705
2021-09-12 21:28:00.612286 : Epoch 10, Batch   1600, Loss  0.821896, Average Loss  0.824080, Time  0.423460
2021-09-12 21:28:08.911499 : Epoch 10, Batch   1601, Loss  0.834181, Average Loss  0.824129, Time  0.337341
2021-09-12 21:28:16.442072 : Epoch 10, Batch   1602, Loss  0.835698, Average Loss  0.824062, Time  0.450668
2021-09-12 21:28:26.307510 : Epoch 10, Batch   1603, Loss  0.828050, Average Loss  0.824119, Time  0.675911
2021-09-12 21:28:35.627219 : Epoch 10, Batch   1604, Loss  0.823769, Average Loss  0.824118, Time  0.262201
2021-09-12 21:28:43.676797 : Epoch 10, Batch   1605, Loss  0.833588, Average Loss  0.824237, Time  0.300239
2021-09-12 21:28:49.992944 : Epoch 10, Batch   1606, Loss  0.821507, Average Loss  0.824224, Time  0.424118
2021-09-12 21:29:00.043367 : Epoch 10, Batch   1607, Loss  0.804984, Average Loss  0.824093, Time  0.464983
2021-09-12 21:29:07.451802 : Epoch 10, Batch   1608, Loss  0.831313, Average Loss  0.824099, Time  0.390359
2021-09-12 21:29:14.957204 : Epoch 10, Batch   1609, Loss  0.831917, Average Loss  0.824172, Time  0.473343
2021-09-12 21:29:22.202389 : Epoch 10, Batch   1610, Loss  0.821825, Average Loss  0.824136, Time  0.353226
2021-09-12 21:29:32.145352 : Epoch 10, Batch   1611, Loss  0.828613, Average Loss  0.824078, Time  0.287639
2021-09-12 21:29:40.035813 : Epoch 10, Batch   1612, Loss  0.823808, Average Loss  0.823928, Time  0.369997
2021-09-12 21:29:44.756912 : Epoch 10, Batch   1613, Loss  0.843437, Average Loss  0.823933, Time  0.278493
2021-09-12 21:29:53.373813 : Epoch 10, Batch   1614, Loss  0.816987, Average Loss  0.823927, Time  0.375173
2021-09-12 21:30:03.053908 : Epoch 10, Batch   1615, Loss  0.829766, Average Loss  0.823988, Time  0.263726
2021-09-12 21:30:10.843623 : Epoch 10, Batch   1616, Loss  0.829926, Average Loss  0.823996, Time  0.285193
2021-09-12 21:30:21.212746 : Epoch 10, Batch   1617, Loss  0.840469, Average Loss  0.824095, Time  0.721219
2021-09-12 21:30:28.553904 : Epoch 10, Batch   1618, Loss  0.828114, Average Loss  0.824001, Time  0.390889
2021-09-12 21:30:35.654478 : Epoch 10, Batch   1619, Loss  0.813206, Average Loss  0.823956, Time  0.299110
2021-09-12 21:30:43.732140 : Epoch 10, Batch   1620, Loss  0.818561, Average Loss  0.823998, Time  0.423865
2021-09-12 21:30:54.413123 : Epoch 10, Batch   1621, Loss  0.830065, Average Loss  0.823946, Time  0.299188
2021-09-12 21:31:04.608750 : Epoch 10, Batch   1622, Loss  0.828880, Average Loss  0.823978, Time  0.353520
2021-09-12 21:31:15.246438 : Epoch 10, Batch   1623, Loss  0.804707, Average Loss  0.823937, Time  0.312666
2021-09-12 21:31:24.631364 : Epoch 10, Batch   1624, Loss  0.811269, Average Loss  0.823709, Time  0.416199
2021-09-12 21:31:34.131027 : Epoch 10, Batch   1625, Loss  0.846633, Average Loss  0.823844, Time  0.270375
2021-09-12 21:31:41.470410 : Epoch 10, Batch   1626, Loss  0.834683, Average Loss  0.823955, Time  0.308171
2021-09-12 21:31:48.919980 : Epoch 10, Batch   1627, Loss  0.813419, Average Loss  0.824018, Time  0.260081
2021-09-12 21:31:57.971643 : Epoch 10, Batch   1628, Loss  0.814935, Average Loss  0.824016, Time  0.380323
2021-09-12 21:32:08.522070 : Epoch 10, Batch   1629, Loss  0.811240, Average Loss  0.823912, Time  0.333802
2021-09-12 21:32:15.405326 : Epoch 10, Batch   1630, Loss  0.827950, Average Loss  0.823961, Time  0.378905
2021-09-12 21:32:21.116028 : Epoch 10, Batch   1631, Loss  0.830543, Average Loss  0.823971, Time  0.314840
2021-09-12 21:32:28.834018 : Epoch 10, Batch   1632, Loss  0.835714, Average Loss  0.823992, Time  0.337702
2021-09-12 21:32:35.529087 : Epoch 10, Batch   1633, Loss  0.813979, Average Loss  0.823948, Time  0.422197
2021-09-12 21:32:42.409968 : Epoch 10, Batch   1634, Loss  0.828056, Average Loss  0.824036, Time  0.297375
2021-09-12 21:32:48.291971 : Epoch 10, Batch   1635, Loss  0.823544, Average Loss  0.823944, Time  0.327021
2021-09-12 21:32:51.988116 : Epoch 10, Batch   1636, Loss  0.809871, Average Loss  0.823871, Time  0.390208
2021-09-12 21:32:57.671885 : Epoch 10, Batch   1637, Loss  0.803765, Average Loss  0.823790, Time  0.374071
2021-09-12 21:33:05.370828 : Epoch 10, Batch   1638, Loss  0.801948, Average Loss  0.823706, Time  0.380177
2021-09-12 21:33:12.854841 : Epoch 10, Batch   1639, Loss  0.828767, Average Loss  0.823655, Time  0.384791
2021-09-12 21:33:18.986941 : Epoch 10, Batch   1640, Loss  0.826116, Average Loss  0.823522, Time  0.273789
2021-09-12 21:33:24.893023 : Epoch 10, Batch   1641, Loss  0.829862, Average Loss  0.823588, Time  0.338674
2021-09-12 21:33:31.726970 : Epoch 10, Batch   1642, Loss  0.817044, Average Loss  0.823631, Time  0.379754
2021-09-12 21:33:37.312030 : Epoch 10, Batch   1643, Loss  0.825124, Average Loss  0.823618, Time  0.355883
2021-09-12 21:33:42.869847 : Epoch 10, Batch   1644, Loss  0.825078, Average Loss  0.823764, Time  0.302237
2021-09-12 21:33:49.659136 : Epoch 10, Batch   1645, Loss  0.834932, Average Loss  0.823754, Time  0.443687
2021-09-12 21:33:54.876933 : Epoch 10, Batch   1646, Loss  0.819040, Average Loss  0.823822, Time  0.314056
2021-09-12 21:33:59.201836 : Epoch 10, Batch   1647, Loss  0.824853, Average Loss  0.823809, Time  0.263664
2021-09-12 21:34:05.077888 : Epoch 10, Batch   1648, Loss  0.827611, Average Loss  0.823718, Time  0.329754
2021-09-12 21:34:09.600869 : Epoch 10, Batch   1649, Loss  0.813287, Average Loss  0.823636, Time  0.292884
2021-09-12 21:34:12.970982 : Epoch 10, Batch   1650, Loss  0.798453, Average Loss  0.823572, Time  0.237077
2021-09-12 21:34:18.026113 : Epoch 10, Batch   1651, Loss  0.811740, Average Loss  0.823378, Time  0.281451
2021-09-12 21:34:27.807110 : Epoch 10, Batch   1652, Loss  0.835292, Average Loss  0.823486, Time  0.416513
2021-09-12 21:34:34.810838 : Epoch 10, Batch   1653, Loss  0.807677, Average Loss  0.823515, Time  0.394408
2021-09-12 21:34:40.690047 : Epoch 10, Batch   1654, Loss  0.827699, Average Loss  0.823367, Time  0.277990
2021-09-12 21:34:44.787362 : Epoch 10, Batch   1655, Loss  0.811674, Average Loss  0.823304, Time  0.317822
2021-09-12 21:34:50.770062 : Epoch 10, Batch   1656, Loss  0.825541, Average Loss  0.823342, Time  0.488994
2021-09-12 21:34:56.671155 : Epoch 10, Batch   1657, Loss  0.837114, Average Loss  0.823481, Time  0.237113
2021-09-12 21:35:03.965896 : Epoch 10, Batch   1658, Loss  0.825103, Average Loss  0.823527, Time  0.482143
2021-09-12 21:35:11.413200 : Epoch 10, Batch   1659, Loss  0.817324, Average Loss  0.823468, Time  0.457525
2021-09-12 21:35:16.993671 : Epoch 10, Batch   1660, Loss  0.837645, Average Loss  0.823479, Time  0.293823
2021-09-12 21:35:23.200345 : Epoch 10, Batch   1661, Loss  0.806092, Average Loss  0.823376, Time  0.317964
2021-09-12 21:35:30.073804 : Epoch 10, Batch   1662, Loss  0.831719, Average Loss  0.823325, Time  0.263759
2021-09-12 21:35:36.503327 : Epoch 10, Batch   1663, Loss  0.847044, Average Loss  0.823428, Time  0.349359
2021-09-12 21:35:42.281035 : Epoch 10, Batch   1664, Loss  0.836256, Average Loss  0.823502, Time  0.405771
2021-09-12 21:35:50.486140 : Epoch 10, Batch   1665, Loss  0.833175, Average Loss  0.823509, Time  0.314951
2021-09-12 21:35:54.628364 : Epoch 10, Batch   1666, Loss  0.839532, Average Loss  0.823549, Time  0.294546
2021-09-12 21:35:59.572842 : Epoch 10, Batch   1667, Loss  0.824112, Average Loss  0.823607, Time  0.317379
2021-09-12 21:36:07.411933 : Epoch 10, Batch   1668, Loss  0.837706, Average Loss  0.823667, Time  0.366601
2021-09-12 21:36:11.059847 : Epoch 10, Batch   1669, Loss  0.859107, Average Loss  0.823728, Time  0.243916
2021-09-12 21:36:16.391887 : Epoch 10, Batch   1670, Loss  0.832892, Average Loss  0.823775, Time  0.363958
2021-09-12 21:36:20.769004 : Epoch 10, Batch   1671, Loss  0.853743, Average Loss  0.824008, Time  0.252040
2021-09-12 21:36:27.169820 : Epoch 10, Batch   1672, Loss  0.829181, Average Loss  0.823982, Time  0.331200
2021-09-12 21:36:32.408934 : Epoch 10, Batch   1673, Loss  0.813072, Average Loss  0.824028, Time  0.278643
2021-09-12 21:36:39.498834 : Epoch 10, Batch   1674, Loss  0.807437, Average Loss  0.823868, Time  0.267608
2021-09-12 21:36:44.055312 : Epoch 10, Batch   1675, Loss  0.828645, Average Loss  0.823910, Time  0.258599
2021-09-12 21:36:51.077769 : Epoch 10, Batch   1676, Loss  0.812623, Average Loss  0.823921, Time  0.337718
2021-09-12 21:36:56.545300 : Epoch 10, Batch   1677, Loss  0.805082, Average Loss  0.823877, Time  0.299071
2021-09-12 21:37:03.638267 : Epoch 10, Batch   1678, Loss  0.815865, Average Loss  0.823890, Time  0.289273
2021-09-12 21:37:10.611926 : Epoch 10, Batch   1679, Loss  0.841493, Average Loss  0.824041, Time  0.478838
2021-09-12 21:37:18.046922 : Epoch 10, Batch   1680, Loss  0.832587, Average Loss  0.824076, Time  0.362598
2021-09-12 21:37:22.648407 : Epoch 10, Batch   1681, Loss  0.836508, Average Loss  0.824063, Time  0.293900
2021-09-12 21:37:27.596292 : Epoch 10, Batch   1682, Loss  0.826428, Average Loss  0.824118, Time  0.239809
2021-09-12 21:37:34.234782 : Epoch 10, Batch   1683, Loss  0.818094, Average Loss  0.824133, Time  0.302252
2021-09-12 21:37:39.476053 : Epoch 10, Batch   1684, Loss  0.836416, Average Loss  0.824188, Time  0.302102
2021-09-12 21:37:43.869870 : Epoch 10, Batch   1685, Loss  0.824047, Average Loss  0.824270, Time  0.357306
2021-09-12 21:37:48.031139 : Epoch 10, Batch   1686, Loss  0.818378, Average Loss  0.824217, Time  0.370838
2021-09-12 21:37:51.413286 : Epoch 10, Batch   1687, Loss  0.832428, Average Loss  0.824201, Time  0.273587
2021-09-12 21:37:55.199183 : Epoch 10, Batch   1688, Loss  0.834152, Average Loss  0.824184, Time  0.275399
2021-09-12 21:37:58.555782 : Epoch 10, Batch   1689, Loss  0.827577, Average Loss  0.824230, Time  0.268640
2021-09-12 21:38:03.632332 : Epoch 10, Batch   1690, Loss  0.814515, Average Loss  0.824208, Time  0.236627
2021-09-12 21:38:07.789494 : Epoch 10, Batch   1691, Loss  0.817923, Average Loss  0.824145, Time  0.276409
2021-09-12 21:38:14.297433 : Epoch 10, Batch   1692, Loss  0.843848, Average Loss  0.824406, Time  0.339463
2021-09-12 21:38:20.609097 : Epoch 10, Batch   1693, Loss  0.828329, Average Loss  0.824371, Time  0.341533
2021-09-12 21:38:24.782560 : Epoch 10, Batch   1694, Loss  0.825472, Average Loss  0.824391, Time  0.293781
2021-09-12 21:38:30.287726 : Epoch 10, Batch   1695, Loss  0.831659, Average Loss  0.824483, Time  0.282762
2021-09-12 21:38:34.268823 : Epoch 10, Batch   1696, Loss  0.799729, Average Loss  0.824299, Time  0.270307
2021-09-12 21:47:56.248725 : CheckPoint: Validation Loss  0.00028216, Best Loss  0.00027575
2021-09-12 21:48:08.020609 : Epoch 10, Batch   1697, Loss  0.801767, Average Loss  0.824216, Time  0.409983
2021-09-12 21:48:16.368276 : Epoch 10, Batch   1698, Loss  0.838414, Average Loss  0.824333, Time  0.338992
2021-09-12 21:48:24.262707 : Epoch 10, Batch   1699, Loss  0.793693, Average Loss  0.824210, Time  0.431313
2021-09-12 21:48:35.430000 : Epoch 10, Batch   1700, Loss  0.847219, Average Loss  0.824333, Time  0.441792
2021-09-12 21:48:44.012870 : Epoch 10, Batch   1701, Loss  0.841392, Average Loss  0.824497, Time  0.489644
2021-09-12 21:48:52.318233 : Epoch 10, Batch   1702, Loss  0.814215, Average Loss  0.824441, Time  0.411636
2021-09-12 21:49:02.191452 : Epoch 10, Batch   1703, Loss  0.835090, Average Loss  0.824486, Time  0.392273
2021-09-12 21:49:10.847205 : Epoch 10, Batch   1704, Loss  0.814484, Average Loss  0.824479, Time  0.498603
2021-09-12 21:49:19.917541 : Epoch 10, Batch   1705, Loss  0.834518, Average Loss  0.824627, Time  0.501120
2021-09-12 21:49:28.261219 : Epoch 10, Batch   1706, Loss  0.827098, Average Loss  0.824696, Time  0.349938
2021-09-12 21:49:35.180795 : Epoch 10, Batch   1707, Loss  0.814946, Average Loss  0.824597, Time  0.409079
2021-09-12 21:49:40.125289 : Epoch 10, Batch   1708, Loss  0.814336, Average Loss  0.824608, Time  0.326184
2021-09-12 21:49:44.926879 : Epoch 10, Batch   1709, Loss  0.832249, Average Loss  0.824736, Time  0.377931
2021-09-12 21:49:56.228987 : Epoch 10, Batch   1710, Loss  0.794943, Average Loss  0.824637, Time  0.451586
2021-09-12 21:50:05.656929 : Epoch 10, Batch   1711, Loss  0.817912, Average Loss  0.824673, Time  0.333602
2021-09-12 21:50:12.860220 : Epoch 10, Batch   1712, Loss  0.811262, Average Loss  0.824652, Time  0.260926
2021-09-12 21:50:20.394683 : Epoch 10, Batch   1713, Loss  0.821113, Average Loss  0.824673, Time  0.445960
2021-09-12 21:50:27.468255 : Epoch 10, Batch   1714, Loss  0.824288, Average Loss  0.824747, Time  0.414242
2021-09-12 21:50:36.892180 : Epoch 10, Batch   1715, Loss  0.813082, Average Loss  0.824768, Time  0.378315
2021-09-12 21:50:44.485910 : Epoch 10, Batch   1716, Loss  0.809621, Average Loss  0.824681, Time  0.357654
2021-09-12 21:50:50.491291 : Epoch 10, Batch   1717, Loss  0.847093, Average Loss  0.824684, Time  0.363437
2021-09-12 21:51:00.661851 : Epoch 10, Batch   1718, Loss  0.820917, Average Loss  0.824544, Time  0.498113
2021-09-12 21:51:09.433817 : Epoch 10, Batch   1719, Loss  0.835992, Average Loss  0.824659, Time  0.406620
2021-09-12 21:51:17.834732 : Epoch 10, Batch   1720, Loss  0.813590, Average Loss  0.824614, Time  0.349582
2021-09-12 21:51:26.130489 : Epoch 10, Batch   1721, Loss  0.818116, Average Loss  0.824640, Time  0.355500
2021-09-12 21:51:36.905798 : Epoch 10, Batch   1722, Loss  0.816652, Average Loss  0.824626, Time  0.410167
2021-09-12 21:51:46.470105 : Epoch 10, Batch   1723, Loss  0.833466, Average Loss  0.824671, Time  0.344861
2021-09-12 21:51:53.379756 : Epoch 10, Batch   1724, Loss  0.818642, Average Loss  0.824764, Time  0.272381
2021-09-12 21:51:58.255737 : Epoch 10, Batch   1725, Loss  0.809823, Average Loss  0.824726, Time  0.311842
2021-09-12 21:52:07.120009 : Epoch 10, Batch   1726, Loss  0.831039, Average Loss  0.824870, Time  0.313938
2021-09-12 21:52:18.638030 : Epoch 10, Batch   1727, Loss  0.821455, Average Loss  0.824827, Time  0.388650
2021-09-12 21:52:26.363894 : Epoch 10, Batch   1728, Loss  0.830038, Average Loss  0.824851, Time  0.311389
2021-09-12 21:52:35.960121 : Epoch 10, Batch   1729, Loss  0.799307, Average Loss  0.824760, Time  0.280999
2021-09-12 21:52:43.619009 : Epoch 10, Batch   1730, Loss  0.830685, Average Loss  0.824792, Time  0.412353
2021-09-12 21:52:48.992145 : Epoch 10, Batch   1731, Loss  0.831539, Average Loss  0.824744, Time  0.285545
2021-09-12 21:52:55.485965 : Epoch 10, Batch   1732, Loss  0.821551, Average Loss  0.824654, Time  0.345326
2021-09-12 21:53:01.020055 : Epoch 10, Batch   1733, Loss  0.835380, Average Loss  0.824723, Time  0.399508
2021-09-12 21:53:09.420826 : Epoch 10, Batch   1734, Loss  0.835807, Average Loss  0.824800, Time  0.381077
2021-09-12 21:53:16.874999 : Epoch 10, Batch   1735, Loss  0.840856, Average Loss  0.824853, Time  0.366032
2021-09-12 21:53:22.451436 : Epoch 10, Batch   1736, Loss  0.799893, Average Loss  0.824751, Time  0.357842
2021-09-12 21:53:29.089789 : Epoch 10, Batch   1737, Loss  0.807835, Average Loss  0.824725, Time  0.369888
2021-09-12 21:53:34.594480 : Epoch 10, Batch   1738, Loss  0.845000, Average Loss  0.824826, Time  0.383708
2021-09-12 21:53:40.385436 : Epoch 10, Batch   1739, Loss  0.857805, Average Loss  0.824906, Time  0.350975
2021-09-12 21:53:47.980393 : Epoch 10, Batch   1740, Loss  0.835439, Average Loss  0.824939, Time  0.346342
2021-09-12 21:53:54.576133 : Epoch 10, Batch   1741, Loss  0.810319, Average Loss  0.824849, Time  0.355142
2021-09-12 21:53:57.417298 : Epoch 10, Batch   1742, Loss  0.802331, Average Loss  0.824797, Time  0.269903
2021-09-12 21:54:05.792480 : Epoch 10, Batch   1743, Loss  0.825579, Average Loss  0.824828, Time  0.407026
2021-09-12 21:54:13.213289 : Epoch 10, Batch   1744, Loss  0.831030, Average Loss  0.824900, Time  0.421328
2021-09-12 21:54:20.259942 : Epoch 10, Batch   1745, Loss  0.826726, Average Loss  0.824966, Time  0.311218
2021-09-12 21:54:25.771336 : Epoch 10, Batch   1746, Loss  0.826714, Average Loss  0.824924, Time  0.270589
2021-09-12 21:54:34.115771 : Epoch 10, Batch   1747, Loss  0.825995, Average Loss  0.824744, Time  0.301767
2021-09-12 21:54:40.848088 : Epoch 10, Batch   1748, Loss  0.843387, Average Loss  0.824913, Time  0.337265
2021-09-12 21:54:48.979569 : Epoch 10, Batch   1749, Loss  0.833677, Average Loss  0.824943, Time  0.346391
2021-09-12 21:54:54.737623 : Epoch 10, Batch   1750, Loss  0.831584, Average Loss  0.824997, Time  0.299979
2021-09-12 21:55:01.345930 : Epoch 10, Batch   1751, Loss  0.827977, Average Loss  0.824975, Time  0.349405
2021-09-12 21:55:11.035071 : Epoch 10, Batch   1752, Loss  0.825751, Average Loss  0.825074, Time  0.522188
2021-09-12 21:55:21.917204 : Epoch 10, Batch   1753, Loss  0.814449, Average Loss  0.825075, Time  0.463401
2021-09-12 21:55:29.870363 : Epoch 10, Batch   1754, Loss  0.815466, Average Loss  0.825027, Time  0.312315
2021-09-12 21:55:38.339245 : Epoch 10, Batch   1755, Loss  0.844702, Average Loss  0.825131, Time  0.302499
2021-09-12 21:55:45.974672 : Epoch 10, Batch   1756, Loss  0.850008, Average Loss  0.825130, Time  0.286758
2021-09-12 21:55:55.143004 : Epoch 10, Batch   1757, Loss  0.793976, Average Loss  0.825026, Time  0.388446
2021-09-12 21:55:59.447065 : Epoch 10, Batch   1758, Loss  0.836177, Average Loss  0.825078, Time  0.336415
2021-09-12 21:56:04.576683 : Epoch 10, Batch   1759, Loss  0.816650, Average Loss  0.825021, Time  0.348525
2021-09-12 21:56:13.790919 : Epoch 10, Batch   1760, Loss  0.811415, Average Loss  0.824896, Time  0.476255
2021-09-12 21:56:20.051645 : Epoch 10, Batch   1761, Loss  0.829423, Average Loss  0.824930, Time  0.276351
2021-09-12 21:56:26.421457 : Epoch 10, Batch   1762, Loss  0.821204, Average Loss  0.824919, Time  0.361564
2021-09-12 21:56:36.142966 : Epoch 10, Batch   1763, Loss  0.837598, Average Loss  0.824910, Time  0.241391
2021-09-12 21:56:43.656254 : Epoch 10, Batch   1764, Loss  0.833789, Average Loss  0.824917, Time  0.382637
2021-09-12 21:56:50.206300 : Epoch 10, Batch   1765, Loss  0.819655, Average Loss  0.824881, Time  0.350542
2021-09-12 21:56:53.944471 : Epoch 10, Batch   1766, Loss  0.834868, Average Loss  0.824982, Time  0.363185
2021-09-12 21:57:02.597959 : Epoch 10, Batch   1767, Loss  0.830616, Average Loss  0.825048, Time  0.289272
2021-09-12 21:57:08.332971 : Epoch 10, Batch   1768, Loss  0.854187, Average Loss  0.825181, Time  0.440583
2021-09-12 21:57:15.887270 : Epoch 10, Batch   1769, Loss  0.825743, Average Loss  0.825159, Time  0.347349
2021-09-12 21:57:23.861595 : Epoch 10, Batch   1770, Loss  0.830989, Average Loss  0.825193, Time  0.461937
2021-09-12 21:57:30.903039 : Epoch 10, Batch   1771, Loss  0.818950, Average Loss  0.825124, Time  0.463197
2021-09-12 21:57:38.499390 : Epoch 10, Batch   1772, Loss  0.800149, Average Loss  0.825152, Time  0.393696
2021-09-12 21:57:43.054816 : Epoch 10, Batch   1773, Loss  0.828407, Average Loss  0.825184, Time  0.281380
2021-09-12 21:57:50.314580 : Epoch 10, Batch   1774, Loss  0.818173, Average Loss  0.825136, Time  0.486179
2021-09-12 21:57:53.586386 : Epoch 10, Batch   1775, Loss  0.791821, Average Loss  0.824994, Time  0.307080
2021-09-12 21:57:57.608327 : Epoch 10, Batch   1776, Loss  0.803151, Average Loss  0.824849, Time  0.351351
2021-09-12 21:58:01.142389 : Epoch 10, Batch   1777, Loss  0.830136, Average Loss  0.824713, Time  0.310606
2021-09-12 21:58:05.001013 : Epoch 10, Batch   1778, Loss  0.797334, Average Loss  0.824543, Time  0.310407
2021-09-12 21:58:08.671058 : Epoch 10, Batch   1779, Loss  0.826790, Average Loss  0.824570, Time  0.278738
2021-09-12 21:58:13.656508 : Epoch 10, Batch   1780, Loss  0.822878, Average Loss  0.824573, Time  0.291682
2021-09-12 21:58:20.743741 : Epoch 10, Batch   1781, Loss  0.835211, Average Loss  0.824692, Time  0.522341
2021-09-12 21:58:30.296512 : Epoch 10, Batch   1782, Loss  0.845071, Average Loss  0.824782, Time  0.379279
2021-09-12 21:58:34.272985 : Epoch 10, Batch   1783, Loss  0.823875, Average Loss  0.824729, Time  0.390159
2021-09-12 21:58:40.854974 : Epoch 10, Batch   1784, Loss  0.832952, Average Loss  0.824547, Time  0.405004
2021-09-12 21:58:50.603887 : Epoch 10, Batch   1785, Loss  0.825085, Average Loss  0.824610, Time  0.286563
2021-09-12 21:58:55.687980 : Epoch 10, Batch   1786, Loss  0.833251, Average Loss  0.824670, Time  0.295107
2021-09-12 21:59:05.166732 : Epoch 10, Batch   1787, Loss  0.816955, Average Loss  0.824599, Time  0.345908
2021-09-12 21:59:13.247130 : Epoch 10, Batch   1788, Loss  0.851381, Average Loss  0.824796, Time  0.371946
2021-09-12 21:59:17.739826 : Epoch 10, Batch   1789, Loss  0.838338, Average Loss  0.824800, Time  0.340699
2021-09-12 21:59:23.174016 : Epoch 10, Batch   1790, Loss  0.817278, Average Loss  0.824694, Time  0.281554
2021-09-12 21:59:31.594852 : Epoch 10, Batch   1791, Loss  0.824823, Average Loss  0.824760, Time  0.400907
2021-09-12 21:59:37.067907 : Epoch 10, Batch   1792, Loss  0.823593, Average Loss  0.824747, Time  0.350872
2021-09-12 21:59:42.629048 : Epoch 10, Batch   1793, Loss  0.829362, Average Loss  0.824790, Time  0.341179
2021-09-12 21:59:47.325862 : Epoch 10, Batch   1794, Loss  0.838949, Average Loss  0.825028, Time  0.507600
2021-09-12 21:59:58.081308 : Epoch 10, Batch   1795, Loss  0.812965, Average Loss  0.825042, Time  0.377848
2021-09-12 22:00:05.464929 : Epoch 10, Batch   1796, Loss  0.840677, Average Loss  0.825131, Time  0.304718
2021-09-12 22:12:40.371109 : CheckPoint: Validation Loss  0.00028235, Best Loss  0.00027575
2021-09-12 22:12:48.668212 : Epoch 10, Batch   1797, Loss  0.815204, Average Loss  0.825007, Time  0.327411
2021-09-12 22:12:57.256261 : Epoch 10, Batch   1798, Loss  0.824506, Average Loss  0.824940, Time  0.301018
2021-09-12 22:13:05.651348 : Epoch 10, Batch   1799, Loss  0.817108, Average Loss  0.824893, Time  0.276730
2021-09-12 22:13:12.691485 : Epoch 10, Batch   1800, Loss  0.816501, Average Loss  0.824866, Time  0.407804
2021-09-12 22:13:21.996168 : Epoch 10, Batch   1801, Loss  0.810962, Average Loss  0.824750, Time  0.383112
2021-09-12 22:13:31.585571 : Epoch 10, Batch   1802, Loss  0.792178, Average Loss  0.824532, Time  0.308511
2021-09-12 22:13:40.474418 : Epoch 10, Batch   1803, Loss  0.825283, Average Loss  0.824518, Time  0.441343
2021-09-12 22:13:49.333503 : Epoch 10, Batch   1804, Loss  0.819767, Average Loss  0.824498, Time  0.498451
2021-09-12 22:13:57.813229 : Epoch 10, Batch   1805, Loss  0.841402, Average Loss  0.824537, Time  0.496807
2021-09-12 22:14:07.179938 : Epoch 10, Batch   1806, Loss  0.821633, Average Loss  0.824538, Time  0.353749
2021-09-12 22:14:18.455320 : Epoch 10, Batch   1807, Loss  0.804379, Average Loss  0.824535, Time  0.457268
2021-09-12 22:14:22.042192 : Epoch 10, Batch   1808, Loss  0.817592, Average Loss  0.824466, Time  0.428620
2021-09-12 22:14:32.151024 : Epoch 10, Batch   1809, Loss  0.816683, Average Loss  0.824390, Time  0.562781
2021-09-12 22:14:35.191381 : Epoch 10, Batch   1810, Loss  0.802395, Average Loss  0.824293, Time  0.328520
2021-09-12 22:14:43.387273 : Epoch 10, Batch   1811, Loss  0.821652, Average Loss  0.824258, Time  0.423098
2021-09-12 22:14:53.120790 : Epoch 10, Batch   1812, Loss  0.830760, Average Loss  0.824293, Time  0.335617
2021-09-12 22:15:02.676913 : Epoch 10, Batch   1813, Loss  0.826531, Average Loss  0.824209, Time  0.661860
2021-09-12 22:15:10.987931 : Epoch 10, Batch   1814, Loss  0.870389, Average Loss  0.824476, Time  0.421601
2021-09-12 22:15:18.257072 : Epoch 10, Batch   1815, Loss  0.803315, Average Loss  0.824343, Time  0.303723
2021-09-12 22:15:23.325300 : Epoch 10, Batch   1816, Loss  0.807465, Average Loss  0.824231, Time  0.276783
2021-09-12 22:15:27.127020 : Epoch 10, Batch   1817, Loss  0.836544, Average Loss  0.824211, Time  0.379836
2021-09-12 22:15:35.513972 : Epoch 10, Batch   1818, Loss  0.806633, Average Loss  0.824104, Time  0.272969
2021-09-12 22:15:43.825215 : Epoch 10, Batch   1819, Loss  0.840273, Average Loss  0.824239, Time  0.475925
2021-09-12 22:15:52.731627 : Epoch 10, Batch   1820, Loss  0.844722, Average Loss  0.824370, Time  0.275191
2021-09-12 22:16:00.506992 : Epoch 10, Batch   1821, Loss  0.806254, Average Loss  0.824251, Time  0.348082
2021-09-12 22:16:09.234775 : Epoch 10, Batch   1822, Loss  0.795333, Average Loss  0.824083, Time  0.330258
2021-09-12 22:16:13.998959 : Epoch 10, Batch   1823, Loss  0.823900, Average Loss  0.824179, Time  0.328601
2021-09-12 22:16:19.638423 : Epoch 10, Batch   1824, Loss  0.809100, Average Loss  0.824168, Time  0.331172
2021-09-12 22:16:27.882512 : Epoch 10, Batch   1825, Loss  0.837584, Average Loss  0.824123, Time  0.306247
2021-09-12 22:16:37.281114 : Epoch 10, Batch   1826, Loss  0.842138, Average Loss  0.824160, Time  0.647501
2021-09-12 22:16:44.281068 : Epoch 10, Batch   1827, Loss  0.825007, Average Loss  0.824218, Time  0.239308
2021-09-12 22:16:52.199287 : Epoch 10, Batch   1828, Loss  0.809248, Average Loss  0.824190, Time  0.261164
2021-09-12 22:16:58.795964 : Epoch 10, Batch   1829, Loss  0.810342, Average Loss  0.824185, Time  0.397473
2021-09-12 22:17:08.585821 : Epoch 10, Batch   1830, Loss  0.853466, Average Loss  0.824313, Time  0.566285
2021-09-12 22:17:19.243220 : Epoch 10, Batch   1831, Loss  0.826769, Average Loss  0.824294, Time  0.522390
2021-09-12 22:17:29.432329 : Epoch 10, Batch   1832, Loss  0.824202, Average Loss  0.824237, Time  0.463559
2021-09-12 22:17:37.696304 : Epoch 10, Batch   1833, Loss  0.834420, Average Loss  0.824339, Time  0.495253
2021-09-12 22:17:48.917718 : Epoch 10, Batch   1834, Loss  0.822494, Average Loss  0.824311, Time  0.483405
2021-09-12 22:17:59.986474 : Epoch 10, Batch   1835, Loss  0.845137, Average Loss  0.824419, Time  0.323475
2021-09-12 22:18:08.210689 : Epoch 10, Batch   1836, Loss  0.818089, Average Loss  0.824460, Time  0.370784
2021-09-12 22:18:16.181355 : Epoch 10, Batch   1837, Loss  0.833058, Average Loss  0.824607, Time  0.358940
2021-09-12 22:18:25.735605 : Epoch 10, Batch   1838, Loss  0.801618, Average Loss  0.824605, Time  0.493562
2021-09-12 22:18:34.825185 : Epoch 10, Batch   1839, Loss  0.825629, Average Loss  0.824589, Time  0.352589
2021-09-12 22:18:43.939436 : Epoch 10, Batch   1840, Loss  0.838699, Average Loss  0.824652, Time  0.423650
2021-09-12 22:18:51.610007 : Epoch 10, Batch   1841, Loss  0.823067, Average Loss  0.824618, Time  0.358632
2021-09-12 22:18:58.251580 : Epoch 10, Batch   1842, Loss  0.826277, Average Loss  0.824664, Time  0.366442
2021-09-12 22:19:07.525429 : Epoch 10, Batch   1843, Loss  0.837929, Average Loss  0.824728, Time  0.431925
2021-09-12 22:19:16.895241 : Epoch 10, Batch   1844, Loss  0.787183, Average Loss  0.824539, Time  0.461760
2021-09-12 22:19:27.106346 : Epoch 10, Batch   1845, Loss  0.830660, Average Loss  0.824518, Time  0.557021
2021-09-12 22:19:34.703006 : Epoch 10, Batch   1846, Loss  0.827786, Average Loss  0.824561, Time  0.295698
2021-09-12 22:19:42.134727 : Epoch 10, Batch   1847, Loss  0.840996, Average Loss  0.824642, Time  0.404306
2021-09-12 22:19:49.473051 : Epoch 10, Batch   1848, Loss  0.795867, Average Loss  0.824483, Time  0.283097
2021-09-12 22:19:59.080046 : Epoch 10, Batch   1849, Loss  0.829719, Average Loss  0.824565, Time  0.504449
2021-09-12 22:20:07.699869 : Epoch 10, Batch   1850, Loss  0.828371, Average Loss  0.824715, Time  0.428221
2021-09-12 22:20:17.023722 : Epoch 10, Batch   1851, Loss  0.818548, Average Loss  0.824749, Time  0.507605
2021-09-12 22:20:26.639829 : Epoch 10, Batch   1852, Loss  0.839736, Average Loss  0.824771, Time  0.348645
2021-09-12 22:20:34.707412 : Epoch 10, Batch   1853, Loss  0.810552, Average Loss  0.824786, Time  0.267090
2021-09-12 22:20:45.042014 : Epoch 10, Batch   1854, Loss  0.829474, Average Loss  0.824795, Time  0.407498
2021-09-12 22:20:52.449402 : Epoch 10, Batch   1855, Loss  0.834040, Average Loss  0.824906, Time  0.539172
2021-09-12 22:21:00.873176 : Epoch 10, Batch   1856, Loss  0.805049, Average Loss  0.824804, Time  0.502902
2021-09-12 22:21:00.904610 : Saving Model after 10-th Epoch.
2021-09-12 22:21:01.978922 : Epoch Finished.
2021-09-15 01:20:52.117686 : Building dataset train from orignial text documents
2021-09-15 01:21:17.273973 : Finish Loading dataset train
2021-09-15 01:21:17.367553 : Data Shuffle
2021-09-15 01:21:17.419558 : Start Shuffling
2021-09-15 01:21:18.377668 : Finish Shuffling
2021-09-15 01:21:18.466626 : Generate Batch
2021-09-15 01:21:18.850537 : Building dataset valid from orignial text documents
2021-09-15 01:21:19.934607 : Finish Loading dataset valid
2021-09-15 01:21:19.966804 : Data Shuffle
2021-09-15 01:21:19.997294 : Start Shuffling
2021-09-15 01:21:20.067620 : Finish Shuffling
2021-09-15 01:21:20.104623 : Generate Batch
2021-09-15 01:21:20.155590 : There are 787 batches per epoch
2021-09-15 01:21:20.183840 : Batch Shuffled
2021-09-15 01:22:13.386642 : Building dataset train from orignial text documents
2021-09-15 01:22:38.344425 : Finish Loading dataset train
2021-09-15 01:22:38.381573 : Data Shuffle
2021-09-15 01:22:38.415564 : Start Shuffling
2021-09-15 01:22:39.398959 : Finish Shuffling
2021-09-15 01:22:39.474790 : Generate Batch
2021-09-15 01:22:39.794666 : Building dataset valid from orignial text documents
2021-09-15 01:22:40.876605 : Finish Loading dataset valid
2021-09-15 01:22:40.913608 : Data Shuffle
2021-09-15 01:22:40.948575 : Start Shuffling
2021-09-15 01:22:41.032793 : Finish Shuffling
2021-09-15 01:22:41.071578 : Generate Batch
2021-09-15 01:22:41.114573 : There are 787 batches per epoch
2021-09-15 01:22:41.152869 : Batch Shuffled
2021-09-15 01:26:20.998764 : Building dataset train from orignial text documents
2021-09-15 01:26:45.804971 : Finish Loading dataset train
2021-09-15 01:26:45.839730 : Data Shuffle
2021-09-15 01:26:45.876543 : Start Shuffling
2021-09-15 01:26:46.846588 : Finish Shuffling
2021-09-15 01:26:46.915542 : Generate Batch
2021-09-15 01:26:47.207577 : Building dataset valid from orignial text documents
2021-09-15 01:26:48.310613 : Finish Loading dataset valid
2021-09-15 01:26:48.347555 : Data Shuffle
2021-09-15 01:26:48.382550 : Start Shuffling
2021-09-15 01:26:48.466627 : Finish Shuffling
2021-09-15 01:26:48.502576 : Generate Batch
2021-09-15 01:26:48.556777 : There are 787 batches per epoch
2021-09-15 01:26:48.585560 : Batch Shuffled
2021-09-15 01:26:50.499696 : Epoch  1, Batch      1, Loss  1.137262, Average Loss  1.137262, Time  0.484534
2021-09-15 01:26:52.169935 : Epoch  1, Batch      2, Loss  1.133568, Average Loss  1.135415, Time  0.258470
2021-09-15 01:26:53.844233 : Epoch  1, Batch      3, Loss  1.131655, Average Loss  1.134162, Time  0.253679
2021-09-15 01:26:55.412490 : Epoch  1, Batch      4, Loss  1.126602, Average Loss  1.132272, Time  0.235711
2021-09-15 01:26:56.940302 : Epoch  1, Batch      5, Loss  1.122725, Average Loss  1.130362, Time  0.235488
2021-09-15 01:26:58.477949 : Epoch  1, Batch      6, Loss  1.116889, Average Loss  1.128117, Time  0.235904
2021-09-15 01:27:00.026262 : Epoch  1, Batch      7, Loss  1.126938, Average Loss  1.127948, Time  0.236159
2021-09-15 01:27:01.694341 : Epoch  1, Batch      8, Loss  1.118996, Average Loss  1.126829, Time  0.236789
2021-09-15 01:27:03.238579 : Epoch  1, Batch      9, Loss  1.102754, Average Loss  1.124154, Time  0.240561
2021-09-15 01:27:04.756376 : Epoch  1, Batch     10, Loss  1.093789, Average Loss  1.121118, Time  0.236153
2021-09-15 01:27:06.280313 : Epoch  1, Batch     11, Loss  1.099808, Average Loss  1.119181, Time  0.235029
2021-09-15 01:27:07.962317 : Epoch  1, Batch     12, Loss  1.084383, Average Loss  1.116281, Time  0.255762
2021-09-15 01:27:09.504099 : Epoch  1, Batch     13, Loss  1.078877, Average Loss  1.113404, Time  0.236506
2021-09-15 01:27:11.027284 : Epoch  1, Batch     14, Loss  1.060295, Average Loss  1.109610, Time  0.236400
2021-09-15 01:27:12.575953 : Epoch  1, Batch     15, Loss  1.060642, Average Loss  1.106346, Time  0.241177
2021-09-15 01:27:14.083937 : Epoch  1, Batch     16, Loss  1.052483, Average Loss  1.102979, Time  0.237496
2021-09-15 01:27:15.623065 : Epoch  1, Batch     17, Loss  1.045816, Average Loss  1.099617, Time  0.241661
2021-09-15 01:27:17.196066 : Epoch  1, Batch     18, Loss  1.037577, Average Loss  1.096170, Time  0.237639
2021-09-15 01:27:18.717117 : Epoch  1, Batch     19, Loss  1.030235, Average Loss  1.092700, Time  0.235964
2021-09-15 01:27:20.265379 : Epoch  1, Batch     20, Loss  1.025557, Average Loss  1.089343, Time  0.237160
2021-09-15 01:27:21.789040 : Epoch  1, Batch     21, Loss  1.013303, Average Loss  1.085722, Time  0.236198
2021-09-15 01:27:23.303470 : Epoch  1, Batch     22, Loss  1.012237, Average Loss  1.082381, Time  0.235897
2021-09-15 01:27:24.974687 : Epoch  1, Batch     23, Loss  1.006966, Average Loss  1.079102, Time  0.245337
2021-09-15 01:27:26.551096 : Epoch  1, Batch     24, Loss  1.003942, Average Loss  1.075971, Time  0.256040
2021-09-15 01:27:28.223797 : Epoch  1, Batch     25, Loss  0.995171, Average Loss  1.072739, Time  0.255956
2021-09-15 01:27:29.892193 : Epoch  1, Batch     26, Loss  0.997051, Average Loss  1.069828, Time  0.255578
2021-09-15 01:27:31.553845 : Epoch  1, Batch     27, Loss  0.983010, Average Loss  1.066612, Time  0.255018
2021-09-15 01:27:33.221848 : Epoch  1, Batch     28, Loss  0.985490, Average Loss  1.063715, Time  0.255422
2021-09-15 01:27:34.889781 : Epoch  1, Batch     29, Loss  0.980632, Average Loss  1.060850, Time  0.254512
2021-09-15 01:27:36.551573 : Epoch  1, Batch     30, Loss  0.976741, Average Loss  1.058046, Time  0.256502
2021-09-15 01:27:38.090921 : Epoch  1, Batch     31, Loss  0.976733, Average Loss  1.055423, Time  0.255674
2021-09-15 01:27:39.753873 : Epoch  1, Batch     32, Loss  0.978499, Average Loss  1.053020, Time  0.254644
2021-09-15 01:27:41.294113 : Epoch  1, Batch     33, Loss  0.973469, Average Loss  1.050609, Time  0.255654
2021-09-15 01:27:42.959932 : Epoch  1, Batch     34, Loss  0.968890, Average Loss  1.048205, Time  0.256404
2021-09-15 01:27:44.627061 : Epoch  1, Batch     35, Loss  0.968768, Average Loss  1.045936, Time  0.255242
2021-09-15 01:27:46.293328 : Epoch  1, Batch     36, Loss  0.962680, Average Loss  1.043623, Time  0.255123
2021-09-15 01:27:47.954979 : Epoch  1, Batch     37, Loss  0.962390, Average Loss  1.041428, Time  0.255049
2021-09-15 01:27:49.631295 : Epoch  1, Batch     38, Loss  0.964561, Average Loss  1.039405, Time  0.254471
2021-09-15 01:27:51.300840 : Epoch  1, Batch     39, Loss  0.957150, Average Loss  1.037296, Time  0.255302
2021-09-15 01:27:52.966821 : Epoch  1, Batch     40, Loss  0.960934, Average Loss  1.035387, Time  0.255358
2021-09-15 01:27:54.617795 : Epoch  1, Batch     41, Loss  0.960513, Average Loss  1.033561, Time  0.254585
2021-09-15 01:27:56.276829 : Epoch  1, Batch     42, Loss  0.955011, Average Loss  1.031690, Time  0.255280
2021-09-15 01:27:57.943114 : Epoch  1, Batch     43, Loss  0.957480, Average Loss  1.029964, Time  0.255343
2021-09-15 01:27:59.610905 : Epoch  1, Batch     44, Loss  0.960425, Average Loss  1.028384, Time  0.254619
2021-09-15 01:28:01.271169 : Epoch  1, Batch     45, Loss  0.956125, Average Loss  1.026778, Time  0.254796
2021-09-15 01:28:02.931923 : Epoch  1, Batch     46, Loss  0.956691, Average Loss  1.025255, Time  0.255613
2021-09-15 01:28:04.583908 : Epoch  1, Batch     47, Loss  0.955113, Average Loss  1.023762, Time  0.254356
2021-09-15 01:28:06.235072 : Epoch  1, Batch     48, Loss  0.949609, Average Loss  1.022217, Time  0.255220
2021-09-15 01:28:07.886325 : Epoch  1, Batch     49, Loss  0.952336, Average Loss  1.020791, Time  0.254601
2021-09-15 01:28:09.536034 : Epoch  1, Batch     50, Loss  0.950929, Average Loss  1.019394, Time  0.254528
2021-09-15 01:28:11.185809 : Epoch  1, Batch     51, Loss  0.947294, Average Loss  1.017980, Time  0.254708
2021-09-15 01:28:12.838834 : Epoch  1, Batch     52, Loss  0.949835, Average Loss  1.016670, Time  0.254508
2021-09-15 01:28:14.360831 : Epoch  1, Batch     53, Loss  0.943770, Average Loss  1.015294, Time  0.254336
2021-09-15 01:28:16.022393 : Epoch  1, Batch     54, Loss  0.951494, Average Loss  1.014113, Time  0.254822
2021-09-15 01:28:17.681062 : Epoch  1, Batch     55, Loss  0.948081, Average Loss  1.012912, Time  0.254865
2021-09-15 01:28:19.334900 : Epoch  1, Batch     56, Loss  0.953318, Average Loss  1.011848, Time  0.254839
2021-09-15 01:28:21.000926 : Epoch  1, Batch     57, Loss  0.949140, Average Loss  1.010748, Time  0.254781
2021-09-15 01:28:22.651054 : Epoch  1, Batch     58, Loss  0.947527, Average Loss  1.009658, Time  0.254291
2021-09-15 01:28:24.174433 : Epoch  1, Batch     59, Loss  0.942864, Average Loss  1.008526, Time  0.254993
2021-09-15 01:28:25.677920 : Epoch  1, Batch     60, Loss  0.946228, Average Loss  1.007488, Time  0.235402
2021-09-15 01:28:27.206563 : Epoch  1, Batch     61, Loss  0.946651, Average Loss  1.006490, Time  0.236642
2021-09-15 01:28:28.728760 : Epoch  1, Batch     62, Loss  0.942543, Average Loss  1.005459, Time  0.236315
2021-09-15 01:28:30.265500 : Epoch  1, Batch     63, Loss  0.945143, Average Loss  1.004501, Time  0.236565
2021-09-15 01:28:31.805245 : Epoch  1, Batch     64, Loss  0.938958, Average Loss  1.003477, Time  0.236940
2021-09-15 01:28:33.342649 : Epoch  1, Batch     65, Loss  0.941777, Average Loss  1.002528, Time  0.237527
2021-09-15 01:28:34.875795 : Epoch  1, Batch     66, Loss  0.940773, Average Loss  1.001592, Time  0.237216
2021-09-15 01:28:36.499263 : Epoch  1, Batch     67, Loss  0.938108, Average Loss  1.000645, Time  0.238648
2021-09-15 01:28:38.046656 : Epoch  1, Batch     68, Loss  0.934424, Average Loss  0.999671, Time  0.237608
2021-09-15 01:28:39.574159 : Epoch  1, Batch     69, Loss  0.940311, Average Loss  0.998811, Time  0.237527
2021-09-15 01:28:41.264494 : Epoch  1, Batch     70, Loss  0.932534, Average Loss  0.997864, Time  0.257764
2021-09-15 01:28:42.935242 : Epoch  1, Batch     71, Loss  0.935079, Average Loss  0.996980, Time  0.255704
2021-09-15 01:28:44.612627 : Epoch  1, Batch     72, Loss  0.936204, Average Loss  0.996136, Time  0.255991
2021-09-15 01:28:46.267156 : Epoch  1, Batch     73, Loss  0.927909, Average Loss  0.995201, Time  0.254784
2021-09-15 01:28:47.806050 : Epoch  1, Batch     74, Loss  0.926894, Average Loss  0.994278, Time  0.236010
2021-09-15 01:28:49.476318 : Epoch  1, Batch     75, Loss  0.923156, Average Loss  0.993330, Time  0.237896
2021-09-15 01:28:51.014941 : Epoch  1, Batch     76, Loss  0.922063, Average Loss  0.992392, Time  0.236401
2021-09-15 01:28:52.542506 : Epoch  1, Batch     77, Loss  0.917879, Average Loss  0.991424, Time  0.238143
2021-09-15 01:28:54.080168 : Epoch  1, Batch     78, Loss  0.920183, Average Loss  0.990511, Time  0.237006
2021-09-15 01:28:55.637177 : Epoch  1, Batch     79, Loss  0.914279, Average Loss  0.989546, Time  0.236779
2021-09-15 01:28:57.181499 : Epoch  1, Batch     80, Loss  0.896440, Average Loss  0.988382, Time  0.238240
2021-09-15 01:28:58.732361 : Epoch  1, Batch     81, Loss  0.888882, Average Loss  0.987154, Time  0.237500
2021-09-15 01:29:00.425562 : Epoch  1, Batch     82, Loss  0.877826, Average Loss  0.985820, Time  0.257815
2021-09-15 01:29:02.097499 : Epoch  1, Batch     83, Loss  0.860196, Average Loss  0.984307, Time  0.255907
2021-09-15 01:29:03.646862 : Epoch  1, Batch     84, Loss  0.839828, Average Loss  0.982587, Time  0.237899
2021-09-15 01:29:05.189950 : Epoch  1, Batch     85, Loss  0.834708, Average Loss  0.980847, Time  0.236647
2021-09-15 01:29:06.725511 : Epoch  1, Batch     86, Loss  0.844101, Average Loss  0.979257, Time  0.236495
2021-09-15 01:29:08.282995 : Epoch  1, Batch     87, Loss  0.835523, Average Loss  0.977605, Time  0.236175
2021-09-15 01:29:09.822513 : Epoch  1, Batch     88, Loss  0.828208, Average Loss  0.975907, Time  0.236952
2021-09-15 01:29:11.392038 : Epoch  1, Batch     89, Loss  0.830917, Average Loss  0.974278, Time  0.237293
2021-09-15 01:29:12.917563 : Epoch  1, Batch     90, Loss  0.845225, Average Loss  0.972844, Time  0.237735
2021-09-15 01:29:14.458616 : Epoch  1, Batch     91, Loss  0.831712, Average Loss  0.971293, Time  0.236791
2021-09-15 01:29:15.989594 : Epoch  1, Batch     92, Loss  0.816563, Average Loss  0.969611, Time  0.237698
2021-09-15 01:29:17.538143 : Epoch  1, Batch     93, Loss  0.822603, Average Loss  0.968031, Time  0.237441
2021-09-15 01:29:19.090936 : Epoch  1, Batch     94, Loss  0.823059, Average Loss  0.966488, Time  0.238686
2021-09-15 01:29:20.618233 : Epoch  1, Batch     95, Loss  0.808621, Average Loss  0.964827, Time  0.237131
2021-09-15 01:29:22.175398 : Epoch  1, Batch     96, Loss  0.821192, Average Loss  0.963330, Time  0.238370
2021-09-15 01:29:23.720944 : Epoch  1, Batch     97, Loss  0.811460, Average Loss  0.961765, Time  0.237180
2021-09-15 01:29:25.418217 : Epoch  1, Batch     98, Loss  0.814362, Average Loss  0.960261, Time  0.257759
2021-09-15 01:29:27.097840 : Epoch  1, Batch     99, Loss  0.818282, Average Loss  0.958827, Time  0.255485
2021-09-15 01:29:28.785055 : Epoch  1, Batch    100, Loss  0.810143, Average Loss  0.957340, Time  0.257778
2021-09-15 01:30:28.631274 : CheckPoint: Validation Loss  0.00033028, Best Loss  0.00033028
2021-09-15 01:30:28.667560 : Best Model Updated
2021-09-15 01:30:31.082879 : Epoch  1, Batch    101, Loss  0.806954, Average Loss  0.955851, Time  0.256197
2021-09-15 01:30:32.612554 : Epoch  1, Batch    102, Loss  0.793922, Average Loss  0.954263, Time  0.236972
2021-09-15 01:30:34.153732 : Epoch  1, Batch    103, Loss  0.791659, Average Loss  0.952685, Time  0.236862
2021-09-15 01:30:35.698010 : Epoch  1, Batch    104, Loss  0.805849, Average Loss  0.951273, Time  0.237374
2021-09-15 01:30:37.391813 : Epoch  1, Batch    105, Loss  0.808790, Average Loss  0.949916, Time  0.256360
2021-09-15 01:30:38.935221 : Epoch  1, Batch    106, Loss  0.807751, Average Loss  0.948575, Time  0.256806
2021-09-15 01:30:40.479778 : Epoch  1, Batch    107, Loss  0.809527, Average Loss  0.947275, Time  0.236231
2021-09-15 01:30:42.028087 : Epoch  1, Batch    108, Loss  0.807785, Average Loss  0.945983, Time  0.236903
2021-09-15 01:30:43.592162 : Epoch  1, Batch    109, Loss  0.806093, Average Loss  0.944700, Time  0.238607
2021-09-15 01:30:45.201422 : Epoch  1, Batch    110, Loss  0.797407, Average Loss  0.943361, Time  0.237890
2021-09-15 01:30:46.730203 : Epoch  1, Batch    111, Loss  0.799416, Average Loss  0.942064, Time  0.236331
2021-09-15 01:30:48.258199 : Epoch  1, Batch    112, Loss  0.804784, Average Loss  0.940838, Time  0.236290
2021-09-15 01:30:49.782805 : Epoch  1, Batch    113, Loss  0.801136, Average Loss  0.939602, Time  0.237167
2021-09-15 01:30:51.325361 : Epoch  1, Batch    114, Loss  0.799849, Average Loss  0.938376, Time  0.236474
2021-09-15 01:30:52.904511 : Epoch  1, Batch    115, Loss  0.800286, Average Loss  0.937175, Time  0.236865
2021-09-15 01:30:54.473427 : Epoch  1, Batch    116, Loss  0.799825, Average Loss  0.935991, Time  0.237028
2021-09-15 01:30:55.076774 : Building dataset train from orignial text documents
2021-09-15 01:30:56.002815 : Epoch  1, Batch    117, Loss  0.800356, Average Loss  0.934832, Time  0.236424
2021-09-15 01:30:57.701289 : Epoch  1, Batch    118, Loss  0.796367, Average Loss  0.933659, Time  0.257738
2021-09-15 01:30:59.373296 : Epoch  1, Batch    119, Loss  0.801809, Average Loss  0.932551, Time  0.237612
2021-09-15 01:31:01.070627 : Epoch  1, Batch    120, Loss  0.798970, Average Loss  0.931438, Time  0.256353
2021-09-15 01:31:02.609251 : Epoch  1, Batch    121, Loss  0.801159, Average Loss  0.930361, Time  0.235722
2021-09-15 01:31:04.151861 : Epoch  1, Batch    122, Loss  0.804157, Average Loss  0.929326, Time  0.237343
2021-09-15 01:31:05.853237 : Epoch  1, Batch    123, Loss  0.796960, Average Loss  0.928250, Time  0.256371
2021-09-15 01:31:07.396302 : Epoch  1, Batch    124, Loss  0.795762, Average Loss  0.927182, Time  0.236947
2021-09-15 01:31:09.065504 : Epoch  1, Batch    125, Loss  0.796704, Average Loss  0.926138, Time  0.236918
2021-09-15 01:31:10.615828 : Epoch  1, Batch    126, Loss  0.797436, Average Loss  0.925117, Time  0.237097
2021-09-15 01:31:12.148060 : Epoch  1, Batch    127, Loss  0.801376, Average Loss  0.924142, Time  0.236730
2021-09-15 01:31:13.693401 : Epoch  1, Batch    128, Loss  0.797481, Average Loss  0.923153, Time  0.237124
2021-09-15 01:31:15.225137 : Epoch  1, Batch    129, Loss  0.796883, Average Loss  0.922174, Time  0.236221
2021-09-15 01:31:16.769388 : Epoch  1, Batch    130, Loss  0.797382, Average Loss  0.921214, Time  0.236823
2021-09-15 01:31:18.331354 : Epoch  1, Batch    131, Loss  0.803372, Average Loss  0.920314, Time  0.237529
2021-09-15 01:31:19.885613 : Epoch  1, Batch    132, Loss  0.793016, Average Loss  0.919350, Time  0.237265
2021-09-15 01:31:21.431396 : Epoch  1, Batch    133, Loss  0.795305, Average Loss  0.918417, Time  0.236852
2021-09-15 01:31:22.992572 : Epoch  1, Batch    134, Loss  0.793505, Average Loss  0.917485, Time  0.237368
2021-09-15 01:31:24.546239 : Epoch  1, Batch    135, Loss  0.794679, Average Loss  0.916575, Time  0.237072
2021-09-15 01:31:26.225432 : Epoch  1, Batch    136, Loss  0.790171, Average Loss  0.915646, Time  0.238603
2021-09-15 01:31:27.764900 : Epoch  1, Batch    137, Loss  0.793468, Average Loss  0.914754, Time  0.236857
2021-09-15 01:31:29.292693 : Epoch  1, Batch    138, Loss  0.793579, Average Loss  0.913876, Time  0.238642
2021-09-15 01:31:30.822340 : Epoch  1, Batch    139, Loss  0.799002, Average Loss  0.913050, Time  0.236295
2021-09-15 01:31:32.356493 : Epoch  1, Batch    140, Loss  0.788485, Average Loss  0.912160, Time  0.237156
2021-09-15 01:31:33.883766 : Epoch  1, Batch    141, Loss  0.780082, Average Loss  0.911223, Time  0.236871
2021-09-15 01:31:35.403421 : Epoch  1, Batch    142, Loss  0.772937, Average Loss  0.910249, Time  0.238513
2021-09-15 01:31:36.937560 : Epoch  1, Batch    143, Loss  0.769541, Average Loss  0.909265, Time  0.236154
2021-09-15 01:31:38.470023 : Epoch  1, Batch    144, Loss  0.759210, Average Loss  0.908223, Time  0.237247
2021-09-15 01:31:40.064098 : Epoch  1, Batch    145, Loss  0.749285, Average Loss  0.907127, Time  0.243796
2021-09-15 01:31:41.606317 : Epoch  1, Batch    146, Loss  0.745856, Average Loss  0.906023, Time  0.236505
2021-09-15 01:31:43.158872 : Epoch  1, Batch    147, Loss  0.741510, Average Loss  0.904903, Time  0.239740
2021-09-15 01:31:44.693014 : Epoch  1, Batch    148, Loss  0.729975, Average Loss  0.903722, Time  0.236669
2021-09-15 01:31:46.254388 : Epoch  1, Batch    149, Loss  0.726512, Average Loss  0.902532, Time  0.239719
2021-09-15 01:31:47.944467 : Epoch  1, Batch    150, Loss  0.721467, Average Loss  0.901325, Time  0.256332
2021-09-15 01:31:49.500195 : Epoch  1, Batch    151, Loss  0.712887, Average Loss  0.900077, Time  0.255944
2021-09-15 01:31:51.043212 : Epoch  1, Batch    152, Loss  0.704650, Average Loss  0.898791, Time  0.255810
2021-09-15 01:31:52.625898 : Epoch  1, Batch    153, Loss  0.706102, Average Loss  0.897532, Time  0.256116
2021-09-15 01:31:54.300956 : Epoch  1, Batch    154, Loss  0.692667, Average Loss  0.896202, Time  0.255912
2021-09-15 01:31:55.852342 : Epoch  1, Batch    155, Loss  0.678896, Average Loss  0.894800, Time  0.255917
2021-09-15 01:31:57.520286 : Epoch  1, Batch    156, Loss  0.674261, Average Loss  0.893386, Time  0.255148
2021-09-15 01:31:59.195260 : Epoch  1, Batch    157, Loss  0.674584, Average Loss  0.891992, Time  0.255066
2021-09-15 01:32:00.874301 : Epoch  1, Batch    158, Loss  0.673627, Average Loss  0.890610, Time  0.255220
2021-09-15 01:32:02.552345 : Epoch  1, Batch    159, Loss  0.655286, Average Loss  0.889130, Time  0.255630
2021-09-15 01:32:04.245277 : Epoch  1, Batch    160, Loss  0.666467, Average Loss  0.887739, Time  0.256191
2021-09-15 01:32:05.780235 : Epoch  1, Batch    161, Loss  0.662584, Average Loss  0.886340, Time  0.255851
2021-09-15 01:32:07.332881 : Epoch  1, Batch    162, Loss  0.659358, Average Loss  0.884939, Time  0.254755
2021-09-15 01:32:08.854194 : Epoch  1, Batch    163, Loss  0.642055, Average Loss  0.883449, Time  0.235240
2021-09-15 01:32:10.389756 : Epoch  1, Batch    164, Loss  0.662715, Average Loss  0.882103, Time  0.237079
2021-09-15 01:32:11.956318 : Epoch  1, Batch    165, Loss  0.650708, Average Loss  0.880701, Time  0.236236
2021-09-15 01:32:13.624398 : Epoch  1, Batch    166, Loss  0.650301, Average Loss  0.879313, Time  0.237468
2021-09-15 01:32:15.181530 : Epoch  1, Batch    167, Loss  0.646092, Average Loss  0.877916, Time  0.236133
2021-09-15 01:32:16.714621 : Epoch  1, Batch    168, Loss  0.655147, Average Loss  0.876590, Time  0.236189
2021-09-15 01:32:18.253215 : Epoch  1, Batch    169, Loss  0.660400, Average Loss  0.875311, Time  0.236662
2021-09-15 01:32:19.784565 : Epoch  1, Batch    170, Loss  0.660848, Average Loss  0.874049, Time  0.236363
2021-09-15 01:32:24.128329 : Epoch  1, Batch    171, Loss  0.643230, Average Loss  0.872700, Time  0.273623
2021-09-15 01:32:25.676553 : Epoch  1, Batch    172, Loss  0.655174, Average Loss  0.871435, Time  0.254832
2021-09-15 01:32:27.201899 : Epoch  1, Batch    173, Loss  0.655201, Average Loss  0.870185, Time  0.240405
2021-09-15 01:32:28.744439 : Epoch  1, Batch    174, Loss  0.627172, Average Loss  0.868788, Time  0.237397
2021-09-15 01:32:30.284463 : Epoch  1, Batch    175, Loss  0.653318, Average Loss  0.867557, Time  0.235648
2021-09-15 01:32:31.845021 : Epoch  1, Batch    176, Loss  0.658348, Average Loss  0.866368, Time  0.237824
2021-09-15 01:32:33.366312 : Epoch  1, Batch    177, Loss  0.646019, Average Loss  0.865124, Time  0.235595
2021-09-15 01:32:34.891272 : Epoch  1, Batch    178, Loss  0.658515, Average Loss  0.863963, Time  0.235600
2021-09-15 01:32:36.558199 : Epoch  1, Batch    179, Loss  0.648775, Average Loss  0.862761, Time  0.237492
2021-09-15 01:32:38.097262 : Epoch  1, Batch    180, Loss  0.646100, Average Loss  0.861557, Time  0.235874
2021-09-15 01:32:39.644471 : Epoch  1, Batch    181, Loss  0.655729, Average Loss  0.860420, Time  0.239815
2021-09-15 01:32:41.292053 : Epoch  1, Batch    182, Loss  0.656671, Average Loss  0.859300, Time  0.238433
2021-09-15 01:32:42.831267 : Epoch  1, Batch    183, Loss  0.643938, Average Loss  0.858123, Time  0.236374
2021-09-15 01:32:44.391370 : Epoch  1, Batch    184, Loss  0.648041, Average Loss  0.856982, Time  0.236676
2021-09-15 01:32:45.990569 : Epoch  1, Batch    185, Loss  0.645830, Average Loss  0.855840, Time  0.245138
2021-09-15 01:32:47.565501 : Epoch  1, Batch    186, Loss  0.651194, Average Loss  0.854740, Time  0.256630
2021-09-15 01:32:49.112206 : Epoch  1, Batch    187, Loss  0.649514, Average Loss  0.853643, Time  0.235796
2021-09-15 01:32:50.651270 : Epoch  1, Batch    188, Loss  0.654061, Average Loss  0.852581, Time  0.237353
2021-09-15 01:32:52.336936 : Epoch  1, Batch    189, Loss  0.651990, Average Loss  0.851520, Time  0.237254
2021-09-15 01:32:53.881927 : Epoch  1, Batch    190, Loss  0.659990, Average Loss  0.850512, Time  0.236363
2021-09-15 01:32:55.441209 : Epoch  1, Batch    191, Loss  0.645548, Average Loss  0.849439, Time  0.235810
2021-09-15 01:32:56.987652 : Epoch  1, Batch    192, Loss  0.645348, Average Loss  0.848376, Time  0.236258
2021-09-15 01:32:58.524274 : Epoch  1, Batch    193, Loss  0.648179, Average Loss  0.847338, Time  0.236125
2021-09-15 01:33:00.068579 : Epoch  1, Batch    194, Loss  0.651252, Average Loss  0.846328, Time  0.236456
2021-09-15 01:33:01.608075 : Epoch  1, Batch    195, Loss  0.651587, Average Loss  0.845329, Time  0.236564
2021-09-15 01:33:03.160426 : Epoch  1, Batch    196, Loss  0.644201, Average Loss  0.844303, Time  0.236691
2021-09-15 01:33:04.704225 : Epoch  1, Batch    197, Loss  0.651707, Average Loss  0.843325, Time  0.237256
2021-09-15 01:33:06.252072 : Epoch  1, Batch    198, Loss  0.657959, Average Loss  0.842389, Time  0.236596
2021-09-15 01:33:07.780849 : Epoch  1, Batch    199, Loss  0.645098, Average Loss  0.841397, Time  0.237886
2021-09-15 01:33:09.480331 : Epoch  1, Batch    200, Loss  0.649471, Average Loss  0.840438, Time  0.256944
2021-09-15 01:34:02.410451 : Finish Loading dataset train
2021-09-15 01:34:02.440359 : Data Shuffle
2021-09-15 01:34:02.454789 : Start Shuffling
2021-09-15 01:34:03.671748 : Finish Shuffling
2021-09-15 01:34:03.751860 : Generate Batch
2021-09-15 01:34:04.086062 : Building dataset valid from orignial text documents
2021-09-15 01:34:06.243695 : CheckPoint: Validation Loss  0.00027006, Best Loss  0.00027006
2021-09-15 01:34:06.286556 : Best Model Updated
2021-09-15 01:34:08.536143 : Epoch  1, Batch    201, Loss  0.644149, Average Loss  0.837972, Time  0.236037
2021-09-15 01:34:10.221724 : Epoch  1, Batch    202, Loss  0.646897, Average Loss  0.835539, Time  0.255523
2021-09-15 01:34:11.765241 : Epoch  1, Batch    203, Loss  0.657524, Average Loss  0.833168, Time  0.254518
2021-09-15 01:34:12.460949 : Finish Loading dataset valid
2021-09-15 01:34:12.490557 : Data Shuffle
2021-09-15 01:34:12.529812 : Start Shuffling
2021-09-15 01:34:12.602911 : Finish Shuffling
2021-09-15 01:34:12.625918 : Generate Batch
2021-09-15 01:34:12.660599 : There are 1856 batches per epoch
2021-09-15 01:34:12.675697 : Batch Shuffled
2021-09-15 01:34:13.298711 : Epoch  1, Batch    204, Loss  0.653990, Average Loss  0.830805, Time  0.237116
2021-09-15 01:34:14.892424 : Epoch  1, Batch    205, Loss  0.645845, Average Loss  0.828421, Time  0.243533
2021-09-15 01:34:15.967535 : Epoch  1, Batch      1, Loss  1.924641, Average Loss  1.924641, Time  0.507695
2021-09-15 01:34:16.460762 : Epoch  1, Batch    206, Loss  0.646714, Average Loss  0.826070, Time  0.255423
2021-09-15 01:34:17.977500 : Epoch  1, Batch    207, Loss  0.649595, Average Loss  0.823683, Time  0.235364
2021-09-15 01:34:19.052942 : Epoch  1, Batch      2, Loss  1.925426, Average Loss  1.925034, Time  0.276213
2021-09-15 01:34:19.510510 : Epoch  1, Batch    208, Loss  0.648031, Average Loss  0.821328, Time  0.235893
2021-09-15 01:34:21.037419 : Epoch  1, Batch    209, Loss  0.647938, Average Loss  0.819054, Time  0.236618
2021-09-15 01:34:22.117884 : Epoch  1, Batch      3, Loss  1.921577, Average Loss  1.923881, Time  0.266515
2021-09-15 01:34:22.576265 : Epoch  1, Batch    210, Loss  0.643535, Average Loss  0.816803, Time  0.236428
2021-09-15 01:34:24.109507 : Epoch  1, Batch    211, Loss  0.650343, Average Loss  0.814556, Time  0.236060
2021-09-15 01:34:25.193007 : Epoch  1, Batch      4, Loss  1.914595, Average Loss  1.921560, Time  0.267899
2021-09-15 01:34:25.705274 : Epoch  1, Batch    212, Loss  0.646551, Average Loss  0.812367, Time  0.241285
2021-09-15 01:34:27.280878 : Epoch  1, Batch    213, Loss  0.651543, Average Loss  0.810230, Time  0.242905
2021-09-15 01:34:28.251798 : Epoch  1, Batch      5, Loss  1.910322, Average Loss  1.919312, Time  0.269134
2021-09-15 01:34:28.797088 : Epoch  1, Batch    214, Loss  0.647537, Average Loss  0.808166, Time  0.236717
2021-09-15 01:34:30.339929 : Epoch  1, Batch    215, Loss  0.652209, Average Loss  0.806124, Time  0.238432
2021-09-15 01:34:31.282365 : Epoch  1, Batch      6, Loss  1.912566, Average Loss  1.918188, Time  0.268543
2021-09-15 01:34:31.869844 : Epoch  1, Batch    216, Loss  0.641851, Average Loss  0.804071, Time  0.237827
2021-09-15 01:34:33.394423 : Epoch  1, Batch    217, Loss  0.636280, Average Loss  0.802023, Time  0.239377
2021-09-15 01:34:34.303394 : Epoch  1, Batch      7, Loss  1.909044, Average Loss  1.916882, Time  0.265449
2021-09-15 01:34:34.912488 : Epoch  1, Batch    218, Loss  0.648967, Average Loss  0.800080, Time  0.238938
2021-09-15 01:34:36.440826 : Epoch  1, Batch    219, Loss  0.630510, Average Loss  0.798081, Time  0.239721
2021-09-15 01:34:37.331291 : Epoch  1, Batch      8, Loss  1.905916, Average Loss  1.915511, Time  0.267822
2021-09-15 01:34:37.958428 : Epoch  1, Batch    220, Loss  0.652392, Average Loss  0.796216, Time  0.237256
2021-09-15 01:34:39.480892 : Epoch  1, Batch    221, Loss  0.652447, Average Loss  0.794411, Time  0.240441
2021-09-15 01:34:40.358832 : Epoch  1, Batch      9, Loss  1.892946, Average Loss  1.913004, Time  0.267047
2021-09-15 01:34:40.992003 : Epoch  1, Batch    222, Loss  0.646043, Average Loss  0.792580, Time  0.236425
2021-09-15 01:34:42.539146 : Epoch  1, Batch    223, Loss  0.649601, Average Loss  0.790793, Time  0.242182
2021-09-15 01:34:43.402905 : Epoch  1, Batch     10, Loss  1.874921, Average Loss  1.909195, Time  0.265578
2021-09-15 01:34:44.063124 : Epoch  1, Batch    224, Loss  0.641495, Average Loss  0.788981, Time  0.238218
2021-09-15 01:34:45.593032 : Epoch  1, Batch    225, Loss  0.642321, Average Loss  0.787217, Time  0.238158
2021-09-15 01:34:46.446555 : Epoch  1, Batch     11, Loss  1.867225, Average Loss  1.905380, Time  0.265614
2021-09-15 01:34:47.106441 : Epoch  1, Batch    226, Loss  0.650203, Average Loss  0.785483, Time  0.237472
2021-09-15 01:34:48.617946 : Epoch  1, Batch    227, Loss  0.630245, Average Loss  0.783719, Time  0.239142
2021-09-15 01:34:49.481628 : Epoch  1, Batch     12, Loss  1.857498, Average Loss  1.901390, Time  0.266303
2021-09-15 01:34:50.138866 : Epoch  1, Batch    228, Loss  0.638881, Average Loss  0.781986, Time  0.238997
2021-09-15 01:34:51.665463 : Epoch  1, Batch    229, Loss  0.643535, Average Loss  0.780300, Time  0.241364
2021-09-15 01:34:52.510454 : Epoch  1, Batch     13, Loss  1.848304, Average Loss  1.897306, Time  0.266476
2021-09-15 01:34:53.176354 : Epoch  1, Batch    230, Loss  0.644082, Average Loss  0.778637, Time  0.237139
2021-09-15 01:34:54.731441 : Epoch  1, Batch    231, Loss  0.659719, Average Loss  0.777052, Time  0.240098
2021-09-15 01:34:55.545732 : Epoch  1, Batch     14, Loss  1.838451, Average Loss  1.893102, Time  0.266309
2021-09-15 01:34:56.262258 : Epoch  1, Batch    232, Loss  0.638931, Average Loss  0.775354, Time  0.239618
2021-09-15 01:34:57.827856 : Epoch  1, Batch    233, Loss  0.649233, Average Loss  0.773733, Time  0.240053
2021-09-15 01:34:58.572522 : Epoch  1, Batch     15, Loss  1.835258, Average Loss  1.889246, Time  0.266325
2021-09-15 01:34:59.360117 : Epoch  1, Batch    234, Loss  0.639970, Average Loss  0.772088, Time  0.239874
2021-09-15 01:35:00.897201 : Epoch  1, Batch    235, Loss  0.646619, Average Loss  0.770478, Time  0.238268
2021-09-15 01:35:01.605983 : Epoch  1, Batch     16, Loss  1.804420, Average Loss  1.883944, Time  0.266397
2021-09-15 01:35:02.431028 : Epoch  1, Batch    236, Loss  0.647618, Average Loss  0.768902, Time  0.239739
2021-09-15 01:35:03.962998 : Epoch  1, Batch    237, Loss  0.635673, Average Loss  0.767269, Time  0.237745
2021-09-15 01:35:04.638446 : Epoch  1, Batch     17, Loss  1.797660, Average Loss  1.878869, Time  0.277885
2021-09-15 01:35:05.481432 : Epoch  1, Batch    238, Loss  0.640846, Average Loss  0.765650, Time  0.237604
2021-09-15 01:35:07.031881 : Epoch  1, Batch    239, Loss  0.654448, Average Loss  0.764137, Time  0.241272
2021-09-15 01:35:07.661540 : Epoch  1, Batch     18, Loss  1.783690, Average Loss  1.873581, Time  0.265992
2021-09-15 01:35:08.568122 : Epoch  1, Batch    240, Loss  0.650817, Average Loss  0.762586, Time  0.237267
2021-09-15 01:35:10.105274 : Epoch  1, Batch    241, Loss  0.642541, Average Loss  0.760996, Time  0.238338
2021-09-15 01:35:10.698669 : Epoch  1, Batch     19, Loss  1.758816, Average Loss  1.867541, Time  0.265608
2021-09-15 01:35:11.644933 : Epoch  1, Batch    242, Loss  0.636501, Average Loss  0.759404, Time  0.238869
2021-09-15 01:35:13.168563 : Epoch  1, Batch    243, Loss  0.647886, Average Loss  0.757856, Time  0.242997
2021-09-15 01:35:13.718857 : Epoch  1, Batch     20, Loss  1.755674, Average Loss  1.861947, Time  0.264919
2021-09-15 01:35:14.704828 : Epoch  1, Batch    244, Loss  0.637370, Average Loss  0.756240, Time  0.241908
2021-09-15 01:35:16.224905 : Epoch  1, Batch    245, Loss  0.645836, Average Loss  0.754689, Time  0.239144
2021-09-15 01:35:16.745641 : Epoch  1, Batch     21, Loss  1.748078, Average Loss  1.856525, Time  0.266531
2021-09-15 01:35:17.842857 : Epoch  1, Batch    246, Loss  0.645102, Average Loss  0.753131, Time  0.240634
2021-09-15 01:35:19.366010 : Epoch  1, Batch    247, Loss  0.644464, Average Loss  0.751578, Time  0.239492
2021-09-15 01:35:19.787987 : Epoch  1, Batch     22, Loss  1.752800, Average Loss  1.851810, Time  0.265766
2021-09-15 01:35:20.890827 : Epoch  1, Batch    248, Loss  0.636344, Average Loss  0.750011, Time  0.237324
2021-09-15 01:35:22.405480 : Epoch  1, Batch    249, Loss  0.642049, Average Loss  0.748460, Time  0.237323
2021-09-15 01:35:22.837464 : Epoch  1, Batch     23, Loss  1.736327, Average Loss  1.846789, Time  0.266649
2021-09-15 01:35:23.913024 : Epoch  1, Batch    250, Loss  0.646211, Average Loss  0.746936, Time  0.237122
2021-09-15 01:35:25.427864 : Epoch  1, Batch    251, Loss  0.650876, Average Loss  0.745454, Time  0.237995
2021-09-15 01:35:25.868514 : Epoch  1, Batch     24, Loss  1.729031, Average Loss  1.841883, Time  0.265361
2021-09-15 01:35:26.939801 : Epoch  1, Batch    252, Loss  0.649120, Average Loss  0.743951, Time  0.236332
2021-09-15 01:35:28.451405 : Epoch  1, Batch    253, Loss  0.651961, Average Loss  0.742492, Time  0.237965
2021-09-15 01:35:28.904777 : Epoch  1, Batch     25, Loss  1.717846, Average Loss  1.836921, Time  0.265458
2021-09-15 01:35:29.963046 : Epoch  1, Batch    254, Loss  0.650062, Average Loss  0.740985, Time  0.234945
2021-09-15 01:35:31.647242 : Epoch  1, Batch    255, Loss  0.652911, Average Loss  0.739509, Time  0.257725
2021-09-15 01:35:31.924091 : Epoch  1, Batch     26, Loss  1.711693, Average Loss  1.832105, Time  0.265371
2021-09-15 01:35:33.325813 : Epoch  1, Batch    256, Loss  0.640729, Average Loss  0.737946, Time  0.259533
2021-09-15 01:35:34.943903 : Epoch  1, Batch     27, Loss  1.716138, Average Loss  1.827810, Time  0.266535
2021-09-15 01:35:35.019149 : Epoch  1, Batch    257, Loss  0.643113, Average Loss  0.736416, Time  0.257432
2021-09-15 01:35:36.579940 : Epoch  1, Batch    258, Loss  0.644640, Average Loss  0.734901, Time  0.240220
2021-09-15 01:35:37.987184 : Epoch  1, Batch     28, Loss  1.715094, Average Loss  1.823784, Time  0.266810
2021-09-15 01:35:38.106054 : Epoch  1, Batch    259, Loss  0.640294, Average Loss  0.733388, Time  0.240525
2021-09-15 01:35:39.670688 : Epoch  1, Batch    260, Loss  0.636849, Average Loss  0.731841, Time  0.241170
2021-09-15 01:35:41.037219 : Epoch  1, Batch     29, Loss  1.706813, Average Loss  1.819751, Time  0.266569
2021-09-15 01:35:41.193945 : Epoch  1, Batch    261, Loss  0.639728, Average Loss  0.730307, Time  0.236149
2021-09-15 01:35:42.869778 : Epoch  1, Batch    262, Loss  0.647323, Average Loss  0.728831, Time  0.259153
2021-09-15 01:35:44.067511 : Epoch  1, Batch     30, Loss  1.700395, Average Loss  1.815772, Time  0.265485
2021-09-15 01:35:44.570292 : Epoch  1, Batch    263, Loss  0.646246, Average Loss  0.727336, Time  0.257608
2021-09-15 01:35:46.097342 : Epoch  1, Batch    264, Loss  0.640980, Average Loss  0.725846, Time  0.239129
2021-09-15 01:35:47.075052 : Epoch  1, Batch     31, Loss  1.705002, Average Loss  1.812199, Time  0.265644
2021-09-15 01:35:47.627961 : Epoch  1, Batch    265, Loss  0.651330, Average Loss  0.724394, Time  0.241027
2021-09-15 01:35:49.163425 : Epoch  1, Batch    266, Loss  0.641004, Average Loss  0.722895, Time  0.237193
2021-09-15 01:35:50.096476 : Epoch  1, Batch     32, Loss  1.676049, Average Loss  1.807944, Time  0.277720
2021-09-15 01:35:50.731109 : Epoch  1, Batch    267, Loss  0.633398, Average Loss  0.721372, Time  0.238459
2021-09-15 01:35:52.278892 : Epoch  1, Batch    268, Loss  0.642344, Average Loss  0.719911, Time  0.239074
2021-09-15 01:35:53.138468 : Epoch  1, Batch     33, Loss  1.680599, Average Loss  1.804085, Time  0.265257
2021-09-15 01:35:53.803009 : Epoch  1, Batch    269, Loss  0.649822, Average Loss  0.718459, Time  0.239360
2021-09-15 01:35:55.331079 : Epoch  1, Batch    270, Loss  0.648911, Average Loss  0.717041, Time  0.237284
2021-09-15 01:35:56.180922 : Epoch  1, Batch     34, Loss  1.685335, Average Loss  1.800593, Time  0.265847
2021-09-15 01:35:59.227952 : Epoch  1, Batch     35, Loss  1.665367, Average Loss  1.796729, Time  0.266936
2021-09-15 01:35:59.813005 : Epoch  1, Batch    271, Loss  0.638895, Average Loss  0.715560, Time  0.291449
2021-09-15 01:36:01.358980 : Epoch  1, Batch    272, Loss  0.640810, Average Loss  0.714083, Time  0.239896
2021-09-15 01:36:02.255574 : Epoch  1, Batch     36, Loss  1.676639, Average Loss  1.793393, Time  0.268662
2021-09-15 01:36:02.892414 : Epoch  1, Batch    273, Loss  0.640434, Average Loss  0.712646, Time  0.237418
2021-09-15 01:36:04.425972 : Epoch  1, Batch    274, Loss  0.645828, Average Loss  0.711240, Time  0.238445
2021-09-15 01:36:05.282717 : Epoch  1, Batch     37, Loss  1.681698, Average Loss  1.790374, Time  0.266330
2021-09-15 01:36:05.961416 : Epoch  1, Batch    275, Loss  0.644110, Average Loss  0.709845, Time  0.239121
2021-09-15 01:36:07.509057 : Epoch  1, Batch    276, Loss  0.639510, Average Loss  0.708432, Time  0.240408
2021-09-15 01:36:08.315892 : Epoch  1, Batch     38, Loss  1.664921, Average Loss  1.787073, Time  0.268075
2021-09-15 01:36:09.025962 : Epoch  1, Batch    277, Loss  0.638888, Average Loss  0.707037, Time  0.238795
2021-09-15 01:36:10.548379 : Epoch  1, Batch    278, Loss  0.635615, Average Loss  0.705614, Time  0.239114
2021-09-15 01:36:11.372946 : Epoch  1, Batch     39, Loss  1.689934, Average Loss  1.784582, Time  0.265655
2021-09-15 01:36:12.076431 : Epoch  1, Batch    279, Loss  0.635009, Average Loss  0.704218, Time  0.238250
2021-09-15 01:36:13.596458 : Epoch  1, Batch    280, Loss  0.636017, Average Loss  0.702916, Time  0.239870
2021-09-15 01:36:14.401913 : Epoch  1, Batch     40, Loss  1.687134, Average Loss  1.782146, Time  0.266217
2021-09-15 01:36:15.115132 : Epoch  1, Batch    281, Loss  0.649654, Average Loss  0.701720, Time  0.239637
2021-09-15 01:36:16.623094 : Epoch  1, Batch    282, Loss  0.645009, Average Loss  0.700556, Time  0.238628
2021-09-15 01:36:17.411841 : Epoch  1, Batch     41, Loss  1.675724, Average Loss  1.779550, Time  0.265943
2021-09-15 01:36:18.135048 : Epoch  1, Batch    283, Loss  0.645305, Average Loss  0.699481, Time  0.239517
2021-09-15 01:36:19.648428 : Epoch  1, Batch    284, Loss  0.657982, Average Loss  0.698572, Time  0.237780
2021-09-15 01:36:20.458089 : Epoch  1, Batch     42, Loss  1.685909, Average Loss  1.777321, Time  0.265833
2021-09-15 01:36:21.166812 : Epoch  1, Batch    285, Loss  0.644135, Average Loss  0.697619, Time  0.238908
2021-09-15 01:36:22.678438 : Epoch  1, Batch    286, Loss  0.633504, Average Loss  0.696566, Time  0.237384
2021-09-15 01:36:23.442960 : Epoch  1, Batch     43, Loss  1.669848, Average Loss  1.774821, Time  0.266050
2021-09-15 01:36:24.197090 : Epoch  1, Batch    287, Loss  0.649200, Average Loss  0.695635, Time  0.238003
2021-09-15 01:36:25.710831 : Epoch  1, Batch    288, Loss  0.640400, Average Loss  0.694696, Time  0.239666
2021-09-15 01:36:26.480110 : Epoch  1, Batch     44, Loss  1.665917, Average Loss  1.772346, Time  0.265468
2021-09-15 01:36:27.224030 : Epoch  1, Batch    289, Loss  0.648017, Average Loss  0.693781, Time  0.239673
2021-09-15 01:36:28.736822 : Epoch  1, Batch    290, Loss  0.636159, Average Loss  0.692736, Time  0.240124
2021-09-15 01:36:29.496641 : Epoch  1, Batch     45, Loss  1.675800, Average Loss  1.770201, Time  0.265581
2021-09-15 01:36:30.245430 : Epoch  1, Batch    291, Loss  0.639244, Average Loss  0.691773, Time  0.239324
2021-09-15 01:36:31.753881 : Epoch  1, Batch    292, Loss  0.637270, Average Loss  0.690877, Time  0.235789
2021-09-15 01:36:32.505920 : Epoch  1, Batch     46, Loss  1.670654, Average Loss  1.768037, Time  0.266071
2021-09-15 01:36:33.266050 : Epoch  1, Batch    293, Loss  0.634820, Average Loss  0.689938, Time  0.237088
2021-09-15 01:36:34.807978 : Epoch  1, Batch    294, Loss  0.648489, Average Loss  0.689065, Time  0.240229
2021-09-15 01:36:35.535000 : Epoch  1, Batch     47, Loss  1.677404, Average Loss  1.766108, Time  0.278417
2021-09-15 01:36:36.334836 : Epoch  1, Batch    295, Loss  0.658982, Average Loss  0.688317, Time  0.238979
2021-09-15 01:36:37.888463 : Epoch  1, Batch    296, Loss  0.649679, Average Loss  0.687459, Time  0.240200
2021-09-15 01:36:38.587276 : Epoch  1, Batch     48, Loss  1.665106, Average Loss  1.764004, Time  0.267020
2021-09-15 01:36:39.422403 : Epoch  1, Batch    297, Loss  0.637222, Average Loss  0.686588, Time  0.238252
2021-09-15 01:36:40.950121 : Epoch  1, Batch    298, Loss  0.640593, Average Loss  0.685719, Time  0.240321
2021-09-15 01:36:41.598178 : Epoch  1, Batch     49, Loss  1.687428, Average Loss  1.762441, Time  0.265239
2021-09-15 01:36:42.461044 : Epoch  1, Batch    299, Loss  0.641736, Average Loss  0.684837, Time  0.236615
2021-09-15 01:36:43.982838 : Epoch  1, Batch    300, Loss  0.635869, Average Loss  0.683965, Time  0.239174
2021-09-15 01:36:44.612132 : Epoch  1, Batch     50, Loss  1.662659, Average Loss  1.760446, Time  0.265681
2021-09-15 01:36:47.637512 : Epoch  1, Batch     51, Loss  1.668578, Average Loss  1.758644, Time  0.265869
2021-09-15 01:36:50.700417 : Epoch  1, Batch     52, Loss  1.654133, Average Loss  1.756635, Time  0.266104
2021-09-15 01:36:53.767406 : Epoch  1, Batch     53, Loss  1.665578, Average Loss  1.754917, Time  0.265879
2021-09-15 01:36:56.823391 : Epoch  1, Batch     54, Loss  1.681471, Average Loss  1.753557, Time  0.266391
2021-09-15 01:36:59.883107 : Epoch  1, Batch     55, Loss  1.651541, Average Loss  1.751702, Time  0.266846
2021-09-15 01:37:02.914930 : Epoch  1, Batch     56, Loss  1.661121, Average Loss  1.750084, Time  0.266968
2021-09-15 01:37:05.979084 : Epoch  1, Batch     57, Loss  1.661407, Average Loss  1.748528, Time  0.266729
2021-09-15 01:37:09.068850 : Epoch  1, Batch     58, Loss  1.667674, Average Loss  1.747134, Time  0.266519
2021-09-15 01:37:12.089741 : Epoch  1, Batch     59, Loss  1.661424, Average Loss  1.745682, Time  0.266984
2021-09-15 01:37:15.123816 : Epoch  1, Batch     60, Loss  1.664164, Average Loss  1.744323, Time  0.266023
2021-09-15 01:37:18.164452 : Epoch  1, Batch     61, Loss  1.660317, Average Loss  1.742946, Time  0.266385
2021-09-15 01:37:21.206783 : Epoch  1, Batch     62, Loss  1.653221, Average Loss  1.741499, Time  0.275421
2021-09-15 01:37:24.226191 : Epoch  1, Batch     63, Loss  1.656339, Average Loss  1.740147, Time  0.266868
2021-09-15 01:37:27.283844 : Epoch  1, Batch     64, Loss  1.658465, Average Loss  1.738871, Time  0.265248
2021-09-15 01:37:30.309243 : Epoch  1, Batch     65, Loss  1.649193, Average Loss  1.737491, Time  0.266126
2021-09-15 01:37:33.357541 : Epoch  1, Batch     66, Loss  1.651148, Average Loss  1.736183, Time  0.266273
2021-09-15 01:37:36.381149 : Epoch  1, Batch     67, Loss  1.655298, Average Loss  1.734976, Time  0.266660
2021-09-15 01:37:39.416386 : Epoch  1, Batch     68, Loss  1.676744, Average Loss  1.734119, Time  0.265215
2021-09-15 01:37:40.408723 : CheckPoint: Validation Loss  0.00027134, Best Loss  0.00027006
2021-09-15 01:37:41.965781 : Epoch  1, Batch    301, Loss  0.642671, Average Loss  0.683144, Time  0.274720
2021-09-15 01:37:42.434766 : Epoch  1, Batch     69, Loss  1.650838, Average Loss  1.732912, Time  0.266443
2021-09-15 01:37:43.496163 : Epoch  1, Batch    302, Loss  0.643075, Average Loss  0.682390, Time  0.256516
2021-09-15 01:37:45.023976 : Epoch  1, Batch    303, Loss  0.641937, Average Loss  0.681641, Time  0.242736
2021-09-15 01:37:45.467662 : Epoch  1, Batch     70, Loss  1.658099, Average Loss  1.731843, Time  0.265162
2021-09-15 01:37:46.544045 : Epoch  1, Batch    304, Loss  0.644911, Average Loss  0.680836, Time  0.238662
2021-09-15 01:37:48.072397 : Epoch  1, Batch    305, Loss  0.639487, Average Loss  0.679990, Time  0.236328
2021-09-15 01:37:48.479704 : Epoch  1, Batch     71, Loss  1.655111, Average Loss  1.730763, Time  0.265739
2021-09-15 01:37:49.588261 : Epoch  1, Batch    306, Loss  0.646625, Average Loss  0.679184, Time  0.235504
2021-09-15 01:37:51.284921 : Epoch  1, Batch    307, Loss  0.641166, Average Loss  0.678342, Time  0.259828
2021-09-15 01:37:51.492369 : Epoch  1, Batch     72, Loss  1.669224, Average Loss  1.729908, Time  0.267696
2021-09-15 01:37:52.825027 : Epoch  1, Batch    308, Loss  0.639479, Average Loss  0.677501, Time  0.238543
2021-09-15 01:37:54.355818 : Epoch  1, Batch    309, Loss  0.645101, Average Loss  0.676696, Time  0.239590
2021-09-15 01:37:54.535508 : Epoch  1, Batch     73, Loss  1.642233, Average Loss  1.728707, Time  0.265959
2021-09-15 01:37:55.890112 : Epoch  1, Batch    310, Loss  0.632707, Average Loss  0.675872, Time  0.238207
2021-09-15 01:37:57.442445 : Epoch  1, Batch    311, Loss  0.643986, Average Loss  0.675095, Time  0.237573
2021-09-15 01:37:57.588807 : Epoch  1, Batch     74, Loss  1.655700, Average Loss  1.727720, Time  0.266228
2021-09-15 01:37:58.979474 : Epoch  1, Batch    312, Loss  0.640632, Average Loss  0.674274, Time  0.240014
2021-09-15 01:38:00.528894 : Epoch  1, Batch    313, Loss  0.649350, Average Loss  0.673516, Time  0.238793
2021-09-15 01:38:00.625552 : Epoch  1, Batch     75, Loss  1.661087, Average Loss  1.726832, Time  0.267639
2021-09-15 01:38:02.066201 : Epoch  1, Batch    314, Loss  0.643548, Average Loss  0.672734, Time  0.240753
2021-09-15 01:38:03.597337 : Epoch  1, Batch    315, Loss  0.644962, Average Loss  0.671957, Time  0.238604
2021-09-15 01:38:03.655920 : Epoch  1, Batch     76, Loss  1.659223, Average Loss  1.725942, Time  0.265972
2021-09-15 01:38:05.290400 : Epoch  1, Batch    316, Loss  0.643809, Average Loss  0.671177, Time  0.259176
2021-09-15 01:38:06.682952 : Epoch  1, Batch     77, Loss  1.648353, Average Loss  1.724935, Time  0.274553
2021-09-15 01:38:06.835277 : Epoch  1, Batch    317, Loss  0.630630, Average Loss  0.670329, Time  0.238464
2021-09-15 01:38:08.379483 : Epoch  1, Batch    318, Loss  0.643657, Average Loss  0.669565, Time  0.238882
2021-09-15 01:38:09.721087 : Epoch  1, Batch     78, Loss  1.653569, Average Loss  1.724020, Time  0.267093
2021-09-15 01:38:09.923200 : Epoch  1, Batch    319, Loss  0.646601, Average Loss  0.668789, Time  0.239723
2021-09-15 01:38:11.496128 : Epoch  1, Batch    320, Loss  0.646593, Average Loss  0.668027, Time  0.238400
2021-09-15 01:38:12.754957 : Epoch  1, Batch     79, Loss  1.652063, Average Loss  1.723109, Time  0.266032
2021-09-15 01:38:13.034443 : Epoch  1, Batch    321, Loss  0.640785, Average Loss  0.667225, Time  0.238443
2021-09-15 01:38:14.563339 : Epoch  1, Batch    322, Loss  0.643846, Average Loss  0.666424, Time  0.237070
2021-09-15 01:38:15.800944 : Epoch  1, Batch     80, Loss  1.645654, Average Loss  1.722141, Time  0.266295
2021-09-15 01:38:16.155213 : Epoch  1, Batch    323, Loss  0.657310, Average Loss  0.665726, Time  0.241025
2021-09-15 01:38:17.725962 : Epoch  1, Batch    324, Loss  0.640745, Average Loss  0.664950, Time  0.238198
2021-09-15 01:38:18.822801 : Epoch  1, Batch     81, Loss  1.656725, Average Loss  1.721333, Time  0.265566
2021-09-15 01:38:19.266315 : Epoch  1, Batch    325, Loss  0.639688, Average Loss  0.664165, Time  0.237950
2021-09-15 01:38:20.851459 : Epoch  1, Batch    326, Loss  0.641471, Average Loss  0.663386, Time  0.240465
2021-09-15 01:38:21.848146 : Epoch  1, Batch     82, Loss  1.640756, Average Loss  1.720351, Time  0.266281
2021-09-15 01:38:22.401141 : Epoch  1, Batch    327, Loss  0.644442, Average Loss  0.662601, Time  0.240391
2021-09-15 01:38:23.938157 : Epoch  1, Batch    328, Loss  0.641698, Average Loss  0.661822, Time  0.237395
2021-09-15 01:38:24.871516 : Epoch  1, Batch     83, Loss  1.659838, Average Loss  1.719621, Time  0.267588
2021-09-15 01:38:25.480346 : Epoch  1, Batch    329, Loss  0.638681, Average Loss  0.661031, Time  0.242533
2021-09-15 01:38:27.021007 : Epoch  1, Batch    330, Loss  0.639804, Average Loss  0.660243, Time  0.239711
2021-09-15 01:38:27.897241 : Epoch  1, Batch     84, Loss  1.655267, Average Loss  1.718855, Time  0.265784
2021-09-15 01:38:28.568978 : Epoch  1, Batch    331, Loss  0.638148, Average Loss  0.659417, Time  0.237678
2021-09-15 01:38:30.120432 : Epoch  1, Batch    332, Loss  0.657462, Average Loss  0.658739, Time  0.240005
2021-09-15 01:38:30.936455 : Epoch  1, Batch     85, Loss  1.644094, Average Loss  1.717976, Time  0.267049
2021-09-15 01:38:31.671173 : Epoch  1, Batch    333, Loss  0.646721, Average Loss  0.657996, Time  0.243402
2021-09-15 01:38:33.335980 : Epoch  1, Batch    334, Loss  0.639172, Average Loss  0.657225, Time  0.238193
2021-09-15 01:38:33.955510 : Epoch  1, Batch     86, Loss  1.647661, Average Loss  1.717158, Time  0.265816
2021-09-15 01:38:34.878981 : Epoch  1, Batch    335, Loss  0.639321, Average Loss  0.656448, Time  0.238164
2021-09-15 01:38:36.419350 : Epoch  1, Batch    336, Loss  0.636156, Average Loss  0.655678, Time  0.238158
2021-09-15 01:38:36.981511 : Epoch  1, Batch     87, Loss  1.630049, Average Loss  1.716157, Time  0.266129
2021-09-15 01:38:38.028161 : Epoch  1, Batch    337, Loss  0.646127, Average Loss  0.654941, Time  0.257063
2021-09-15 01:38:39.724149 : Epoch  1, Batch    338, Loss  0.641342, Average Loss  0.654180, Time  0.256500
2021-09-15 01:38:40.032162 : Epoch  1, Batch     88, Loss  1.645556, Average Loss  1.715355, Time  0.266338
2021-09-15 01:38:41.258074 : Epoch  1, Batch    339, Loss  0.629734, Average Loss  0.653333, Time  0.238997
2021-09-15 01:38:42.882532 : Epoch  1, Batch    340, Loss  0.641193, Average Loss  0.652597, Time  0.237229
2021-09-15 01:38:43.052247 : Epoch  1, Batch     89, Loss  1.633592, Average Loss  1.714436, Time  0.264738
2021-09-15 01:38:44.565970 : Epoch  1, Batch    341, Loss  0.641222, Average Loss  0.651903, Time  0.240746
2021-09-15 01:38:46.067968 : Epoch  1, Batch     90, Loss  1.618575, Average Loss  1.713371, Time  0.265728
2021-09-15 01:38:46.115035 : Epoch  1, Batch    342, Loss  0.648841, Average Loss  0.651282, Time  0.238326
2021-09-15 01:38:47.641480 : Epoch  1, Batch    343, Loss  0.640261, Average Loss  0.650636, Time  0.238581
2021-09-15 01:38:49.082652 : Epoch  1, Batch     91, Loss  1.622301, Average Loss  1.712370, Time  0.265810
2021-09-15 01:38:49.183876 : Epoch  1, Batch    344, Loss  0.653561, Average Loss  0.650108, Time  0.238306
2021-09-15 01:38:50.705159 : Epoch  1, Batch    345, Loss  0.642095, Average Loss  0.649572, Time  0.236598
2021-09-15 01:38:52.130047 : Epoch  1, Batch     92, Loss  1.617382, Average Loss  1.711338, Time  0.275976
2021-09-15 01:38:52.237462 : Epoch  1, Batch    346, Loss  0.643875, Average Loss  0.649062, Time  0.237842
2021-09-15 01:38:53.823937 : Epoch  1, Batch    347, Loss  0.647918, Average Loss  0.648594, Time  0.243614
2021-09-15 01:38:55.158130 : Epoch  1, Batch     93, Loss  1.606835, Average Loss  1.710214, Time  0.265569
2021-09-15 01:38:55.405940 : Epoch  1, Batch    348, Loss  0.643009, Average Loss  0.648159, Time  0.240245
2021-09-15 01:38:56.995531 : Epoch  1, Batch    349, Loss  0.642065, Average Loss  0.647737, Time  0.244624
2021-09-15 01:38:58.190733 : Epoch  1, Batch     94, Loss  1.580474, Average Loss  1.708834, Time  0.266397
2021-09-15 01:38:58.556099 : Epoch  1, Batch    350, Loss  0.640884, Average Loss  0.647334, Time  0.241801
2021-09-15 01:39:00.092443 : Epoch  1, Batch    351, Loss  0.634402, Average Loss  0.646941, Time  0.241260
2021-09-15 01:39:01.228897 : Epoch  1, Batch     95, Loss  1.597719, Average Loss  1.707664, Time  0.267149
2021-09-15 01:39:01.626976 : Epoch  1, Batch    352, Loss  0.635188, Average Loss  0.646594, Time  0.238308
2021-09-15 01:39:03.150944 : Epoch  1, Batch    353, Loss  0.648213, Average Loss  0.646305, Time  0.238073
2021-09-15 01:39:04.251597 : Epoch  1, Batch     96, Loss  1.570586, Average Loss  1.706236, Time  0.266018
2021-09-15 01:39:04.683395 : Epoch  1, Batch    354, Loss  0.649449, Average Loss  0.646089, Time  0.238226
2021-09-15 01:39:06.223675 : Epoch  1, Batch    355, Loss  0.648815, Average Loss  0.645938, Time  0.245211
2021-09-15 01:39:07.297018 : Epoch  1, Batch     97, Loss  1.570475, Average Loss  1.704837, Time  0.266419
2021-09-15 01:39:07.923200 : Epoch  1, Batch    356, Loss  0.640243, Average Loss  0.645768, Time  0.258646
2021-09-15 01:39:09.610946 : Epoch  1, Batch    357, Loss  0.643598, Average Loss  0.645613, Time  0.256967
2021-09-15 01:39:10.353332 : Epoch  1, Batch     98, Loss  1.560690, Average Loss  1.703366, Time  0.266623
2021-09-15 01:39:11.311966 : Epoch  1, Batch    358, Loss  0.651940, Average Loss  0.645505, Time  0.259105
2021-09-15 01:39:12.991450 : Epoch  1, Batch    359, Loss  0.637803, Average Loss  0.645417, Time  0.255696
2021-09-15 01:39:13.379979 : Epoch  1, Batch     99, Loss  1.555968, Average Loss  1.701877, Time  0.265945
2021-09-15 01:39:14.677408 : Epoch  1, Batch    360, Loss  0.649346, Average Loss  0.645332, Time  0.259327
2021-09-15 01:39:16.366452 : Epoch  1, Batch    361, Loss  0.659299, Average Loss  0.645315, Time  0.256837
2021-09-15 01:39:16.419977 : Epoch  1, Batch    100, Loss  1.542969, Average Loss  1.700288, Time  0.266098
2021-09-15 01:39:18.051548 : Epoch  1, Batch    362, Loss  0.633815, Average Loss  0.645188, Time  0.261415
2021-09-15 01:39:19.582969 : Epoch  1, Batch    363, Loss  0.642235, Average Loss  0.645188, Time  0.237416
2021-09-15 01:39:21.105399 : Epoch  1, Batch    364, Loss  0.655039, Average Loss  0.645150, Time  0.239515
2021-09-15 01:39:22.624876 : Epoch  1, Batch    365, Loss  0.640764, Average Loss  0.645100, Time  0.235725
2021-09-15 01:39:24.151391 : Epoch  1, Batch    366, Loss  0.644332, Average Loss  0.645070, Time  0.240590
2021-09-15 01:39:25.684406 : Epoch  1, Batch    367, Loss  0.641909, Average Loss  0.645050, Time  0.239171
2021-09-15 01:39:27.209392 : Epoch  1, Batch    368, Loss  0.640722, Average Loss  0.644977, Time  0.238271
2021-09-15 01:39:28.727873 : Epoch  1, Batch    369, Loss  0.633005, Average Loss  0.644840, Time  0.238024
2021-09-15 01:39:30.253406 : Epoch  1, Batch    370, Loss  0.640432, Average Loss  0.644738, Time  0.238266
2021-09-15 01:39:34.120970 : Epoch  1, Batch    371, Loss  0.637493, Average Loss  0.644710, Time  0.277359
2021-09-15 01:39:35.646370 : Epoch  1, Batch    372, Loss  0.639800, Average Loss  0.644633, Time  0.258870
2021-09-15 01:39:37.188846 : Epoch  1, Batch    373, Loss  0.634223, Average Loss  0.644528, Time  0.244177
2021-09-15 01:39:38.738955 : Epoch  1, Batch    374, Loss  0.638354, Average Loss  0.644584, Time  0.241109
2021-09-15 01:39:40.270798 : Epoch  1, Batch    375, Loss  0.641747, Average Loss  0.644526, Time  0.238688
2021-09-15 01:39:41.811498 : Epoch  1, Batch    376, Loss  0.641897, Average Loss  0.644444, Time  0.239745
2021-09-15 01:39:43.351872 : Epoch  1, Batch    377, Loss  0.649452, Average Loss  0.644461, Time  0.238894
2021-09-15 01:39:44.875475 : Epoch  1, Batch    378, Loss  0.630789, Average Loss  0.644322, Time  0.238093
2021-09-15 01:39:46.393838 : Epoch  1, Batch    379, Loss  0.641642, Average Loss  0.644287, Time  0.236798
2021-09-15 01:39:47.920391 : Epoch  1, Batch    380, Loss  0.640565, Average Loss  0.644259, Time  0.238590
2021-09-15 01:39:49.462955 : Epoch  1, Batch    381, Loss  0.638388, Average Loss  0.644172, Time  0.238065
2021-09-15 01:39:51.005515 : Epoch  1, Batch    382, Loss  0.649727, Average Loss  0.644137, Time  0.241593
2021-09-15 01:39:52.526824 : Epoch  1, Batch    383, Loss  0.648486, Average Loss  0.644160, Time  0.236526
2021-09-15 01:39:54.053916 : Epoch  1, Batch    384, Loss  0.647280, Average Loss  0.644156, Time  0.239808
2021-09-15 01:39:55.570054 : Epoch  1, Batch    385, Loss  0.638592, Average Loss  0.644120, Time  0.241487
2021-09-15 01:39:57.095406 : Epoch  1, Batch    386, Loss  0.652419, Average Loss  0.644126, Time  0.238583
2021-09-15 01:39:58.624984 : Epoch  1, Batch    387, Loss  0.646920, Average Loss  0.644113, Time  0.240112
2021-09-15 01:40:00.141868 : Epoch  1, Batch    388, Loss  0.642418, Average Loss  0.644055, Time  0.239042
2021-09-15 01:40:01.668916 : Epoch  1, Batch    389, Loss  0.638907, Average Loss  0.643990, Time  0.238835
2021-09-15 01:40:03.178537 : Epoch  1, Batch    390, Loss  0.638374, Average Loss  0.643882, Time  0.238704
2021-09-15 01:40:04.727925 : Epoch  1, Batch    391, Loss  0.650194, Average Loss  0.643905, Time  0.239393
2021-09-15 01:40:06.255112 : Epoch  1, Batch    392, Loss  0.644609, Average Loss  0.643901, Time  0.240165
2021-09-15 01:40:07.792203 : Epoch  1, Batch    393, Loss  0.646915, Average Loss  0.643895, Time  0.235877
2021-09-15 01:40:09.342954 : Epoch  1, Batch    394, Loss  0.641492, Average Loss  0.643846, Time  0.242154
2021-09-15 01:40:10.876929 : Epoch  1, Batch    395, Loss  0.642948, Average Loss  0.643803, Time  0.241849
2021-09-15 01:40:12.418095 : Epoch  1, Batch    396, Loss  0.646602, Average Loss  0.643815, Time  0.239885
2021-09-15 01:40:13.943839 : Epoch  1, Batch    397, Loss  0.647475, Average Loss  0.643794, Time  0.238648
2021-09-15 01:40:15.468167 : Epoch  1, Batch    398, Loss  0.642909, Average Loss  0.643718, Time  0.241376
2021-09-15 01:40:17.156518 : Epoch  1, Batch    399, Loss  0.646188, Average Loss  0.643724, Time  0.257652
2021-09-15 01:40:18.845780 : Epoch  1, Batch    400, Loss  0.637547, Average Loss  0.643664, Time  0.260062
2021-09-15 01:41:20.741748 : CheckPoint: Validation Loss  0.00026233, Best Loss  0.00026233
2021-09-15 01:41:20.782752 : Best Model Updated
2021-09-15 01:41:23.056101 : Epoch  1, Batch    401, Loss  0.641398, Average Loss  0.643651, Time  0.237297
2021-09-15 01:41:24.587805 : Epoch  1, Batch    402, Loss  0.646594, Average Loss  0.643649, Time  0.236857
2021-09-15 01:41:26.114888 : Epoch  1, Batch    403, Loss  0.636225, Average Loss  0.643543, Time  0.236535
2021-09-15 01:41:27.812048 : Epoch  1, Batch    404, Loss  0.642030, Average Loss  0.643483, Time  0.259220
2021-09-15 01:41:29.494364 : Epoch  1, Batch    405, Loss  0.632762, Average Loss  0.643417, Time  0.256463
2021-09-15 01:41:31.028039 : Epoch  1, Batch    406, Loss  0.636673, Average Loss  0.643367, Time  0.239183
2021-09-15 01:41:32.551100 : Epoch  1, Batch    407, Loss  0.645866, Average Loss  0.643348, Time  0.237455
2021-09-15 01:41:34.069028 : Epoch  1, Batch    408, Loss  0.644243, Average Loss  0.643330, Time  0.240696
2021-09-15 01:41:35.594037 : Epoch  1, Batch    409, Loss  0.646926, Average Loss  0.643324, Time  0.239130
2021-09-15 01:41:37.124439 : Epoch  1, Batch    410, Loss  0.634024, Average Loss  0.643277, Time  0.239568
2021-09-15 01:41:38.640940 : Epoch  1, Batch    411, Loss  0.634552, Average Loss  0.643198, Time  0.238799
2021-09-15 01:41:40.161784 : Epoch  1, Batch    412, Loss  0.643265, Average Loss  0.643182, Time  0.238656
2021-09-15 01:41:41.674937 : Epoch  1, Batch    413, Loss  0.646663, Average Loss  0.643157, Time  0.239048
2021-09-15 01:41:43.189155 : Epoch  1, Batch    414, Loss  0.649935, Average Loss  0.643169, Time  0.238206
2021-09-15 01:41:44.733882 : Epoch  1, Batch    415, Loss  0.643395, Average Loss  0.643125, Time  0.240854
2021-09-15 01:41:46.272675 : Epoch  1, Batch    416, Loss  0.643980, Average Loss  0.643136, Time  0.237796
2021-09-15 01:41:47.801545 : Epoch  1, Batch    417, Loss  0.644852, Average Loss  0.643179, Time  0.237155
2021-09-15 01:41:49.357889 : Epoch  1, Batch    418, Loss  0.640506, Average Loss  0.643136, Time  0.239462
2021-09-15 01:41:50.892410 : Epoch  1, Batch    419, Loss  0.642458, Average Loss  0.643196, Time  0.236985
2021-09-15 01:41:52.429124 : Epoch  1, Batch    420, Loss  0.638151, Average Loss  0.643125, Time  0.237032
2021-09-15 01:41:53.987173 : Epoch  1, Batch    421, Loss  0.639143, Average Loss  0.643058, Time  0.239365
2021-09-15 01:41:55.531049 : Epoch  1, Batch    422, Loss  0.631010, Average Loss  0.642983, Time  0.238258
2021-09-15 01:41:57.065053 : Epoch  1, Batch    423, Loss  0.645382, Average Loss  0.642962, Time  0.239557
2021-09-15 01:41:58.605658 : Epoch  1, Batch    424, Loss  0.641977, Average Loss  0.642964, Time  0.237350
2021-09-15 01:42:00.127131 : Epoch  1, Batch    425, Loss  0.642113, Average Loss  0.642963, Time  0.237925
2021-09-15 01:42:01.661428 : Epoch  1, Batch    426, Loss  0.640552, Average Loss  0.642915, Time  0.239209
2021-09-15 01:42:03.203871 : Epoch  1, Batch    427, Loss  0.634512, Average Loss  0.642936, Time  0.239650
2021-09-15 01:42:04.729908 : Epoch  1, Batch    428, Loss  0.656353, Average Loss  0.643024, Time  0.237788
2021-09-15 01:42:06.278028 : Epoch  1, Batch    429, Loss  0.643734, Average Loss  0.643025, Time  0.240265
2021-09-15 01:42:07.816467 : Epoch  1, Batch    430, Loss  0.647839, Average Loss  0.643044, Time  0.241232
2021-09-15 01:42:09.346891 : Epoch  1, Batch    431, Loss  0.646187, Average Loss  0.642976, Time  0.238490
2021-09-15 01:42:10.861196 : Epoch  1, Batch    432, Loss  0.644697, Average Loss  0.643005, Time  0.236386
2021-09-15 01:42:12.402884 : Epoch  1, Batch    433, Loss  0.643046, Average Loss  0.642974, Time  0.241587
2021-09-15 01:42:13.927857 : Epoch  1, Batch    434, Loss  0.640172, Average Loss  0.642975, Time  0.236999
2021-09-15 01:42:15.448817 : Epoch  1, Batch    435, Loss  0.642299, Average Loss  0.642953, Time  0.236661
2021-09-15 01:42:16.969884 : Epoch  1, Batch    436, Loss  0.642215, Average Loss  0.642926, Time  0.240692
2021-09-15 01:42:18.513509 : Epoch  1, Batch    437, Loss  0.638730, Average Loss  0.642942, Time  0.240447
2021-09-15 01:42:20.039400 : Epoch  1, Batch    438, Loss  0.645219, Average Loss  0.642963, Time  0.237116
2021-09-15 01:42:21.571412 : Epoch  1, Batch    439, Loss  0.640025, Average Loss  0.642891, Time  0.238490
2021-09-15 01:42:23.103158 : Epoch  1, Batch    440, Loss  0.635663, Average Loss  0.642816, Time  0.237714
2021-09-15 01:42:24.652080 : Epoch  1, Batch    441, Loss  0.648402, Average Loss  0.642845, Time  0.240304
2021-09-15 01:42:26.182378 : Epoch  1, Batch    442, Loss  0.641870, Average Loss  0.642872, Time  0.238563
2021-09-15 01:42:27.718422 : Epoch  1, Batch    443, Loss  0.644400, Average Loss  0.642854, Time  0.237070
2021-09-15 01:42:29.243445 : Epoch  1, Batch    444, Loss  0.646521, Average Loss  0.642900, Time  0.239452
2021-09-15 01:42:30.778082 : Epoch  1, Batch    445, Loss  0.636161, Average Loss  0.642852, Time  0.237767
2021-09-15 01:42:32.306416 : Epoch  1, Batch    446, Loss  0.639056, Average Loss  0.642821, Time  0.239121
2021-09-15 01:42:33.838004 : Epoch  1, Batch    447, Loss  0.639960, Average Loss  0.642799, Time  0.238202
2021-09-15 01:42:35.371392 : Epoch  1, Batch    448, Loss  0.634800, Average Loss  0.642791, Time  0.238184
2021-09-15 01:42:36.888836 : Epoch  1, Batch    449, Loss  0.645805, Average Loss  0.642810, Time  0.237957
2021-09-15 01:42:38.411048 : Epoch  1, Batch    450, Loss  0.641749, Average Loss  0.642788, Time  0.237446
2021-09-15 01:42:39.946464 : Epoch  1, Batch    451, Loss  0.643065, Average Loss  0.642749, Time  0.239739
2021-09-15 01:42:41.479022 : Epoch  1, Batch    452, Loss  0.638798, Average Loss  0.642697, Time  0.238335
2021-09-15 01:42:43.008084 : Epoch  1, Batch    453, Loss  0.645675, Average Loss  0.642666, Time  0.236866
2021-09-15 01:42:44.520378 : Epoch  1, Batch    454, Loss  0.640188, Average Loss  0.642616, Time  0.235989
2021-09-15 01:42:46.043995 : Epoch  1, Batch    455, Loss  0.645664, Average Loss  0.642580, Time  0.236946
2021-09-15 01:42:46.189830 : Epoch  1, Batch    456, Loss  0.803761, Average Loss  0.643395, Time  0.100215
2021-09-15 01:42:47.723586 : Epoch  1, Batch    457, Loss  0.644923, Average Loss  0.643404, Time  0.237159
2021-09-15 01:42:49.273502 : Epoch  1, Batch    458, Loss  0.640151, Average Loss  0.643382, Time  0.241434
2021-09-15 01:42:50.799891 : Epoch  1, Batch    459, Loss  0.641676, Average Loss  0.643389, Time  0.239165
2021-09-15 01:42:52.336876 : Epoch  1, Batch    460, Loss  0.646931, Average Loss  0.643439, Time  0.239429
2021-09-15 01:42:53.860375 : Epoch  1, Batch    461, Loss  0.638296, Average Loss  0.643432, Time  0.237967
2021-09-15 01:42:55.376390 : Epoch  1, Batch    462, Loss  0.647397, Average Loss  0.643432, Time  0.235712
2021-09-15 01:42:56.909034 : Epoch  1, Batch    463, Loss  0.649473, Average Loss  0.643448, Time  0.238950
2021-09-15 01:42:58.446389 : Epoch  1, Batch    464, Loss  0.653157, Average Loss  0.643509, Time  0.240265
2021-09-15 01:42:59.959880 : Epoch  1, Batch    465, Loss  0.648871, Average Loss  0.643497, Time  0.236243
2021-09-15 01:43:01.474384 : Epoch  1, Batch    466, Loss  0.652806, Average Loss  0.643556, Time  0.238363
2021-09-15 01:43:02.989878 : Epoch  1, Batch    467, Loss  0.645474, Average Loss  0.643616, Time  0.238390
2021-09-15 01:43:04.507215 : Epoch  1, Batch    468, Loss  0.638483, Average Loss  0.643597, Time  0.239325
2021-09-15 01:43:06.027441 : Epoch  1, Batch    469, Loss  0.637463, Average Loss  0.643535, Time  0.237257
2021-09-15 01:43:07.553405 : Epoch  1, Batch    470, Loss  0.639057, Average Loss  0.643486, Time  0.239697
2021-09-15 01:43:09.079835 : Epoch  1, Batch    471, Loss  0.654151, Average Loss  0.643562, Time  0.238995
2021-09-15 01:43:12.998344 : Epoch  1, Batch    472, Loss  0.639527, Average Loss  0.643556, Time  0.267686
2021-09-15 01:43:14.524031 : Epoch  1, Batch    473, Loss  0.635361, Average Loss  0.643530, Time  0.245257
2021-09-15 01:43:16.029399 : Epoch  1, Batch    474, Loss  0.640871, Average Loss  0.643506, Time  0.236971
2021-09-15 01:43:17.579486 : Epoch  1, Batch    475, Loss  0.641432, Average Loss  0.643492, Time  0.245116
2021-09-15 01:43:19.131358 : Epoch  1, Batch    476, Loss  0.637044, Average Loss  0.643480, Time  0.238216
2021-09-15 01:43:20.652910 : Epoch  1, Batch    477, Loss  0.643214, Average Loss  0.643502, Time  0.237609
2021-09-15 01:43:22.168425 : Epoch  1, Batch    478, Loss  0.639167, Average Loss  0.643519, Time  0.236810
2021-09-15 01:43:23.705195 : Epoch  1, Batch    479, Loss  0.645154, Average Loss  0.643570, Time  0.240816
2021-09-15 01:43:25.230059 : Epoch  1, Batch    480, Loss  0.641960, Average Loss  0.643600, Time  0.238761
2021-09-15 01:43:26.756809 : Epoch  1, Batch    481, Loss  0.643750, Average Loss  0.643570, Time  0.238504
2021-09-15 01:43:28.291818 : Epoch  1, Batch    482, Loss  0.642590, Average Loss  0.643558, Time  0.238419
2021-09-15 01:43:29.825954 : Epoch  1, Batch    483, Loss  0.643407, Average Loss  0.643549, Time  0.239563
2021-09-15 01:43:31.359884 : Epoch  1, Batch    484, Loss  0.643010, Average Loss  0.643474, Time  0.239980
2021-09-15 01:43:32.877888 : Epoch  1, Batch    485, Loss  0.642967, Average Loss  0.643468, Time  0.237748
2021-09-15 01:43:34.405399 : Epoch  1, Batch    486, Loss  0.648690, Average Loss  0.643544, Time  0.238884
2021-09-15 01:43:35.929805 : Epoch  1, Batch    487, Loss  0.640703, Average Loss  0.643501, Time  0.238827
2021-09-15 01:43:37.451232 : Epoch  1, Batch    488, Loss  0.641950, Average Loss  0.643509, Time  0.240833
2021-09-15 01:43:38.984823 : Epoch  1, Batch    489, Loss  0.654227, Average Loss  0.643540, Time  0.238895
2021-09-15 01:43:40.513473 : Epoch  1, Batch    490, Loss  0.637423, Average Loss  0.643547, Time  0.238591
2021-09-15 01:43:42.042101 : Epoch  1, Batch    491, Loss  0.637659, Average Loss  0.643539, Time  0.242026
2021-09-15 01:43:43.560080 : Epoch  1, Batch    492, Loss  0.635710, Average Loss  0.643531, Time  0.240027
2021-09-15 01:43:45.093021 : Epoch  1, Batch    493, Loss  0.645702, Average Loss  0.643585, Time  0.239900
2021-09-15 01:43:46.622423 : Epoch  1, Batch    494, Loss  0.648917, Average Loss  0.643587, Time  0.239751
2021-09-15 01:43:48.144157 : Epoch  1, Batch    495, Loss  0.631022, Average Loss  0.643448, Time  0.234688
2021-09-15 01:43:49.682464 : Epoch  1, Batch    496, Loss  0.647246, Average Loss  0.643435, Time  0.240031
2021-09-15 01:43:51.216848 : Epoch  1, Batch    497, Loss  0.649930, Average Loss  0.643499, Time  0.239864
2021-09-15 01:43:52.750500 : Epoch  1, Batch    498, Loss  0.646305, Average Loss  0.643528, Time  0.239074
2021-09-15 01:43:54.278926 : Epoch  1, Batch    499, Loss  0.640455, Average Loss  0.643521, Time  0.238501
2021-09-15 01:43:55.802415 : Epoch  1, Batch    500, Loss  0.639323, Average Loss  0.643538, Time  0.239333
2021-09-15 01:43:59.831419 : CheckPoint: Validation Loss  0.00051597, Best Loss  0.00051597
2021-09-15 01:43:59.864511 : Best Model Updated
2021-09-15 01:44:03.744699 : Epoch  1, Batch    101, Loss  1.517223, Average Loss  1.698475, Time  0.267328
2021-09-15 01:44:06.793741 : Epoch  1, Batch    102, Loss  1.509317, Average Loss  1.696621, Time  0.267429
2021-09-15 01:44:09.830866 : Epoch  1, Batch    103, Loss  1.492004, Average Loss  1.694634, Time  0.265345
2021-09-15 01:44:12.884227 : Epoch  1, Batch    104, Loss  1.491085, Average Loss  1.692677, Time  0.280000
2021-09-15 01:44:15.941412 : Epoch  1, Batch    105, Loss  1.477314, Average Loss  1.690626, Time  0.267018
2021-09-15 01:44:18.974924 : Epoch  1, Batch    106, Loss  1.455341, Average Loss  1.688406, Time  0.265503
2021-09-15 01:44:22.007282 : Epoch  1, Batch    107, Loss  1.476544, Average Loss  1.686426, Time  0.265087
2021-09-15 01:44:25.076231 : Epoch  1, Batch    108, Loss  1.470532, Average Loss  1.684427, Time  0.267025
2021-09-15 01:44:28.155998 : Epoch  1, Batch    109, Loss  1.453042, Average Loss  1.682304, Time  0.265596
2021-09-15 01:44:31.159673 : Epoch  1, Batch    110, Loss  1.445918, Average Loss  1.680155, Time  0.265679
2021-09-15 01:44:34.191883 : Epoch  1, Batch    111, Loss  1.444924, Average Loss  1.678036, Time  0.266011
2021-09-15 01:44:37.218834 : Epoch  1, Batch    112, Loss  1.434144, Average Loss  1.675859, Time  0.266039
2021-09-15 01:44:40.207753 : Epoch  1, Batch    113, Loss  1.446089, Average Loss  1.673825, Time  0.265508
2021-09-15 01:44:43.232198 : Epoch  1, Batch    114, Loss  1.439641, Average Loss  1.671771, Time  0.267561
2021-09-15 01:44:46.243556 : Epoch  1, Batch    115, Loss  1.444653, Average Loss  1.669796, Time  0.265090
2021-09-15 01:44:49.275054 : Epoch  1, Batch    116, Loss  1.415757, Average Loss  1.667606, Time  0.267925
2021-09-15 01:44:52.269742 : CheckPoint: Validation Loss  0.00026775, Best Loss  0.00026233
2021-09-15 01:44:52.336935 : Epoch  1, Batch    117, Loss  1.432660, Average Loss  1.665598, Time  0.266840
2021-09-15 01:44:53.827104 : Epoch  1, Batch    501, Loss  0.634585, Average Loss  0.643498, Time  0.274913
2021-09-15 01:44:55.357336 : Epoch  1, Batch    502, Loss  0.643070, Average Loss  0.643498, Time  0.256350
2021-09-15 01:44:55.366391 : Epoch  1, Batch    118, Loss  1.406380, Average Loss  1.663401, Time  0.266447
2021-09-15 01:44:56.876001 : Epoch  1, Batch    503, Loss  0.649930, Average Loss  0.643538, Time  0.241640
2021-09-15 01:44:58.383043 : Epoch  1, Batch    504, Loss  0.640828, Average Loss  0.643517, Time  0.239408
2021-09-15 01:44:58.436374 : Epoch  1, Batch    119, Loss  1.394758, Average Loss  1.661144, Time  0.276712
2021-09-15 01:44:59.898122 : Epoch  1, Batch    505, Loss  0.628121, Average Loss  0.643461, Time  0.238573
2021-09-15 01:45:01.411088 : Epoch  1, Batch    506, Loss  0.644434, Average Loss  0.643450, Time  0.237835
2021-09-15 01:45:01.489382 : Epoch  1, Batch    120, Loss  1.404426, Average Loss  1.659004, Time  0.265873
2021-09-15 01:45:02.926866 : Epoch  1, Batch    507, Loss  0.639216, Average Loss  0.643440, Time  0.238243
2021-09-15 01:45:04.435417 : Epoch  1, Batch    508, Loss  0.636294, Average Loss  0.643424, Time  0.235851
2021-09-15 01:45:04.515200 : Epoch  1, Batch    121, Loss  1.409006, Average Loss  1.656938, Time  0.266650
2021-09-15 01:45:05.956403 : Epoch  1, Batch    509, Loss  0.639681, Average Loss  0.643397, Time  0.239096
2021-09-15 01:45:07.467382 : Epoch  1, Batch    510, Loss  0.638382, Average Loss  0.643425, Time  0.236049
2021-09-15 01:45:07.577370 : Epoch  1, Batch    122, Loss  1.386223, Average Loss  1.654719, Time  0.265614
2021-09-15 01:45:08.977904 : Epoch  1, Batch    511, Loss  0.631475, Average Loss  0.643363, Time  0.237680
2021-09-15 01:45:10.515890 : Epoch  1, Batch    512, Loss  0.632601, Average Loss  0.643323, Time  0.240349
2021-09-15 01:45:10.598845 : Epoch  1, Batch    123, Loss  1.367540, Average Loss  1.652385, Time  0.266644
2021-09-15 01:45:12.038972 : Epoch  1, Batch    513, Loss  0.639069, Average Loss  0.643271, Time  0.239512
2021-09-15 01:45:13.565584 : Epoch  1, Batch    514, Loss  0.633769, Average Loss  0.643222, Time  0.237265
2021-09-15 01:45:13.650210 : Epoch  1, Batch    124, Loss  1.361350, Average Loss  1.650037, Time  0.265577
2021-09-15 01:45:15.112241 : Epoch  1, Batch    515, Loss  0.649391, Average Loss  0.643244, Time  0.239563
2021-09-15 01:45:16.631449 : Epoch  1, Batch    516, Loss  0.647087, Average Loss  0.643261, Time  0.238641
2021-09-15 01:45:16.678360 : Epoch  1, Batch    125, Loss  1.347343, Average Loss  1.647616, Time  0.265219
2021-09-15 01:45:18.235784 : Epoch  1, Batch    517, Loss  0.648664, Average Loss  0.643351, Time  0.257891
2021-09-15 01:45:19.744406 : Epoch  1, Batch    126, Loss  1.349555, Average Loss  1.645250, Time  0.267773
2021-09-15 01:45:19.770798 : Epoch  1, Batch    518, Loss  0.644251, Average Loss  0.643354, Time  0.237585
2021-09-15 01:45:21.345233 : Epoch  1, Batch    519, Loss  0.650331, Average Loss  0.643373, Time  0.238844
2021-09-15 01:45:22.811813 : Epoch  1, Batch    127, Loss  1.359083, Average Loss  1.642997, Time  0.265112
2021-09-15 01:45:22.923031 : Epoch  1, Batch    520, Loss  0.644514, Average Loss  0.643362, Time  0.242338
2021-09-15 01:45:24.457169 : Epoch  1, Batch    521, Loss  0.647058, Average Loss  0.643394, Time  0.239647
2021-09-15 01:45:25.832227 : Epoch  1, Batch    128, Loss  1.345239, Average Loss  1.640671, Time  0.265958
2021-09-15 01:45:25.998673 : Epoch  1, Batch    522, Loss  0.635633, Average Loss  0.643352, Time  0.240107
2021-09-15 01:45:27.556233 : Epoch  1, Batch    523, Loss  0.637047, Average Loss  0.643251, Time  0.242687
2021-09-15 01:45:28.845636 : Epoch  1, Batch    129, Loss  1.345922, Average Loss  1.638386, Time  0.266560
2021-09-15 01:45:29.109038 : Epoch  1, Batch    524, Loss  0.636896, Average Loss  0.643232, Time  0.237144
2021-09-15 01:45:30.645122 : Epoch  1, Batch    525, Loss  0.644079, Average Loss  0.643254, Time  0.237500
2021-09-15 01:45:31.897248 : Epoch  1, Batch    130, Loss  1.335815, Average Loss  1.636058, Time  0.265073
2021-09-15 01:45:32.199469 : Epoch  1, Batch    526, Loss  0.638154, Average Loss  0.643237, Time  0.242598
2021-09-15 01:45:33.740388 : Epoch  1, Batch    527, Loss  0.637578, Average Loss  0.643203, Time  0.237654
2021-09-15 01:45:34.914565 : Epoch  1, Batch    131, Loss  1.315536, Average Loss  1.633612, Time  0.267137
2021-09-15 01:45:35.472025 : Epoch  1, Batch    528, Loss  0.635327, Average Loss  0.643171, Time  0.259475
2021-09-15 01:45:37.152408 : Epoch  1, Batch    529, Loss  0.641149, Average Loss  0.643183, Time  0.256651
2021-09-15 01:45:37.943095 : Epoch  1, Batch    132, Loss  1.316216, Average Loss  1.631207, Time  0.266452
2021-09-15 01:45:38.826468 : Epoch  1, Batch    530, Loss  0.634168, Average Loss  0.643155, Time  0.256171
2021-09-15 01:45:40.493139 : Epoch  1, Batch    531, Loss  0.635365, Average Loss  0.643141, Time  0.258346
2021-09-15 01:45:40.956644 : Epoch  1, Batch    133, Loss  1.300954, Average Loss  1.628724, Time  0.265734
2021-09-15 01:45:42.163393 : Epoch  1, Batch    532, Loss  0.643979, Average Loss  0.643074, Time  0.256260
2021-09-15 01:45:43.831408 : Epoch  1, Batch    533, Loss  0.641674, Average Loss  0.643049, Time  0.257343
2021-09-15 01:45:43.987910 : Epoch  1, Batch    134, Loss  1.309196, Average Loss  1.626340, Time  0.279748
2021-09-15 01:45:45.507469 : Epoch  1, Batch    534, Loss  0.637543, Average Loss  0.643041, Time  0.260270
2021-09-15 01:45:47.008633 : Epoch  1, Batch    135, Loss  1.307104, Average Loss  1.623975, Time  0.265947
2021-09-15 01:45:47.168465 : Epoch  1, Batch    535, Loss  0.638803, Average Loss  0.643038, Time  0.255171
2021-09-15 01:45:48.856461 : Epoch  1, Batch    536, Loss  0.645861, Average Loss  0.643087, Time  0.256919
2021-09-15 01:45:50.031485 : Epoch  1, Batch    136, Loss  1.282784, Average Loss  1.621466, Time  0.268302
2021-09-15 01:45:50.536387 : Epoch  1, Batch    537, Loss  0.646369, Average Loss  0.643088, Time  0.258151
2021-09-15 01:45:52.207936 : Epoch  1, Batch    538, Loss  0.648818, Average Loss  0.643125, Time  0.259772
2021-09-15 01:45:53.066486 : Epoch  1, Batch    137, Loss  1.274098, Average Loss  1.618931, Time  0.265986
2021-09-15 01:45:53.901141 : Epoch  1, Batch    539, Loss  0.639615, Average Loss  0.643175, Time  0.259798
2021-09-15 01:45:55.565467 : Epoch  1, Batch    540, Loss  0.644581, Average Loss  0.643191, Time  0.256039
2021-09-15 01:45:56.081375 : Epoch  1, Batch    138, Loss  1.270002, Average Loss  1.616402, Time  0.265785
2021-09-15 01:45:57.235225 : Epoch  1, Batch    541, Loss  0.634829, Average Loss  0.643159, Time  0.258987
2021-09-15 01:45:58.908019 : Epoch  1, Batch    542, Loss  0.650827, Average Loss  0.643169, Time  0.258799
2021-09-15 01:45:59.122162 : Epoch  1, Batch    139, Loss  1.245155, Average Loss  1.613731, Time  0.268794
2021-09-15 01:46:00.590502 : Epoch  1, Batch    543, Loss  0.640517, Average Loss  0.643171, Time  0.257620
2021-09-15 01:46:02.153017 : Epoch  1, Batch    544, Loss  0.632904, Average Loss  0.643067, Time  0.237033
2021-09-15 01:46:02.183769 : Epoch  1, Batch    140, Loss  1.244004, Average Loss  1.611090, Time  0.265126
2021-09-15 01:46:03.675069 : Epoch  1, Batch    545, Loss  0.640230, Average Loss  0.643058, Time  0.239458
2021-09-15 01:46:05.193998 : Epoch  1, Batch    546, Loss  0.635787, Average Loss  0.643018, Time  0.239713
2021-09-15 01:46:05.204858 : Epoch  1, Batch    141, Loss  1.235788, Average Loss  1.608429, Time  0.265698
2021-09-15 01:46:06.758421 : Epoch  1, Batch    547, Loss  0.650033, Average Loss  0.643028, Time  0.237977
2021-09-15 01:46:08.237826 : Epoch  1, Batch    142, Loss  1.252076, Average Loss  1.605919, Time  0.265705
2021-09-15 01:46:08.277431 : Epoch  1, Batch    548, Loss  0.646313, Average Loss  0.643045, Time  0.239262
2021-09-15 01:46:09.801878 : Epoch  1, Batch    549, Loss  0.647569, Average Loss  0.643072, Time  0.239489
2021-09-15 01:46:11.254808 : Epoch  1, Batch    143, Loss  1.269970, Average Loss  1.603570, Time  0.265855
2021-09-15 01:46:11.361429 : Epoch  1, Batch    550, Loss  0.632611, Average Loss  0.643031, Time  0.239054
2021-09-15 01:46:12.889382 : Epoch  1, Batch    551, Loss  0.628681, Average Loss  0.643002, Time  0.237264
2021-09-15 01:46:14.312021 : Epoch  1, Batch    144, Loss  1.221089, Average Loss  1.600914, Time  0.265361
2021-09-15 01:46:14.421435 : Epoch  1, Batch    552, Loss  0.640906, Average Loss  0.643031, Time  0.238472
2021-09-15 01:46:15.974319 : Epoch  1, Batch    553, Loss  0.642323, Average Loss  0.643001, Time  0.271633
2021-09-15 01:46:17.331141 : Epoch  1, Batch    145, Loss  1.230189, Average Loss  1.598357, Time  0.265755
2021-09-15 01:46:17.503054 : Epoch  1, Batch    554, Loss  0.646164, Average Loss  0.642985, Time  0.239731
2021-09-15 01:46:19.006742 : Epoch  1, Batch    555, Loss  0.644605, Average Loss  0.642964, Time  0.236847
2021-09-15 01:46:20.353822 : Epoch  1, Batch    146, Loss  1.219541, Average Loss  1.595762, Time  0.265405
2021-09-15 01:46:20.517038 : Epoch  1, Batch    556, Loss  0.648617, Average Loss  0.643006, Time  0.237749
2021-09-15 01:46:22.025815 : Epoch  1, Batch    557, Loss  0.644608, Average Loss  0.643011, Time  0.239846
2021-09-15 01:46:23.393410 : Epoch  1, Batch    147, Loss  1.183639, Average Loss  1.592959, Time  0.265271
2021-09-15 01:46:23.555453 : Epoch  1, Batch    558, Loss  0.636020, Average Loss  0.642931, Time  0.239554
2021-09-15 01:46:25.064827 : Epoch  1, Batch    559, Loss  0.646677, Average Loss  0.642976, Time  0.235917
2021-09-15 01:46:26.430642 : Epoch  1, Batch    148, Loss  1.212863, Average Loss  1.590391, Time  0.266292
2021-09-15 01:46:26.574980 : Epoch  1, Batch    560, Loss  0.631893, Average Loss  0.642888, Time  0.236650
2021-09-15 01:46:28.089884 : Epoch  1, Batch    561, Loss  0.653360, Average Loss  0.642859, Time  0.240139
2021-09-15 01:46:29.467718 : Epoch  1, Batch    149, Loss  1.221938, Average Loss  1.587918, Time  0.278055
2021-09-15 01:46:29.603406 : Epoch  1, Batch    562, Loss  0.634760, Average Loss  0.642863, Time  0.236877
2021-09-15 01:46:31.116973 : Epoch  1, Batch    563, Loss  0.652427, Average Loss  0.642914, Time  0.239990
2021-09-15 01:46:32.513886 : Epoch  1, Batch    150, Loss  1.195891, Average Loss  1.585304, Time  0.267364
2021-09-15 01:46:32.636449 : Epoch  1, Batch    564, Loss  0.649631, Average Loss  0.642887, Time  0.239584
2021-09-15 01:46:34.152261 : Epoch  1, Batch    565, Loss  0.640138, Average Loss  0.642884, Time  0.239396
2021-09-15 01:46:35.563204 : Epoch  1, Batch    151, Loss  1.218298, Average Loss  1.582874, Time  0.266460
2021-09-15 01:46:35.660423 : Epoch  1, Batch    566, Loss  0.637880, Average Loss  0.642852, Time  0.237905
2021-09-15 01:46:37.165984 : Epoch  1, Batch    567, Loss  0.644194, Average Loss  0.642863, Time  0.237887
2021-09-15 01:46:38.603426 : Epoch  1, Batch    152, Loss  1.191651, Average Loss  1.580300, Time  0.265584
2021-09-15 01:46:38.688101 : Epoch  1, Batch    568, Loss  0.646216, Average Loss  0.642891, Time  0.238177
2021-09-15 01:46:40.225241 : Epoch  1, Batch    569, Loss  0.650494, Average Loss  0.642978, Time  0.239294
2021-09-15 01:46:41.620964 : Epoch  1, Batch    153, Loss  1.195685, Average Loss  1.577786, Time  0.266287
2021-09-15 01:46:41.879417 : Epoch  1, Batch    570, Loss  0.641025, Average Loss  0.642981, Time  0.239981
2021-09-15 01:46:44.681971 : Epoch  1, Batch    154, Loss  1.195009, Average Loss  1.575300, Time  0.269069
2021-09-15 01:46:45.830067 : Epoch  1, Batch    571, Loss  0.637662, Average Loss  0.642982, Time  0.273839
2021-09-15 01:46:47.337973 : Epoch  1, Batch    572, Loss  0.641884, Average Loss  0.642993, Time  0.238186
2021-09-15 01:46:47.701657 : Epoch  1, Batch    155, Loss  1.184163, Average Loss  1.572777, Time  0.266690
2021-09-15 01:46:48.841032 : Epoch  1, Batch    573, Loss  0.637738, Average Loss  0.643010, Time  0.236986
2021-09-15 01:46:50.349382 : Epoch  1, Batch    574, Loss  0.640700, Average Loss  0.643022, Time  0.238614
2021-09-15 01:46:50.713692 : Epoch  1, Batch    156, Loss  1.165394, Average Loss  1.570166, Time  0.266296
2021-09-15 01:46:51.867496 : Epoch  1, Batch    575, Loss  0.639651, Average Loss  0.643011, Time  0.236735
2021-09-15 01:46:53.386482 : Epoch  1, Batch    576, Loss  0.637505, Average Loss  0.642989, Time  0.238638
2021-09-15 01:46:53.724416 : Epoch  1, Batch    157, Loss  1.169094, Average Loss  1.567611, Time  0.266416
2021-09-15 01:46:54.904169 : Epoch  1, Batch    577, Loss  0.632424, Average Loss  0.642904, Time  0.254442
2021-09-15 01:46:56.567326 : Epoch  1, Batch    578, Loss  0.631922, Average Loss  0.642910, Time  0.254186
2021-09-15 01:46:56.779739 : Epoch  1, Batch    158, Loss  1.162986, Average Loss  1.565050, Time  0.266701
2021-09-15 01:46:58.072393 : Epoch  1, Batch    579, Loss  0.637356, Average Loss  0.642888, Time  0.234770
2021-09-15 01:46:59.627450 : Epoch  1, Batch    580, Loss  0.635262, Average Loss  0.642862, Time  0.238341
2021-09-15 01:46:59.854933 : Epoch  1, Batch    159, Loss  1.174335, Average Loss  1.562593, Time  0.266722
2021-09-15 01:47:01.147194 : Epoch  1, Batch    581, Loss  0.650373, Average Loss  0.642922, Time  0.238369
2021-09-15 01:47:02.674456 : Epoch  1, Batch    582, Loss  0.634692, Average Loss  0.642847, Time  0.241499
2021-09-15 01:47:02.876323 : Epoch  1, Batch    160, Loss  1.173537, Average Loss  1.560161, Time  0.266171
2021-09-15 01:47:04.194924 : Epoch  1, Batch    583, Loss  0.640227, Average Loss  0.642805, Time  0.238353
2021-09-15 01:47:05.715058 : Epoch  1, Batch    584, Loss  0.641172, Average Loss  0.642775, Time  0.239776
2021-09-15 01:47:05.923226 : Epoch  1, Batch    161, Loss  1.136918, Average Loss  1.557532, Time  0.267989
2021-09-15 01:47:07.223751 : Epoch  1, Batch    585, Loss  0.646918, Average Loss  0.642817, Time  0.239847
2021-09-15 01:47:08.739056 : Epoch  1, Batch    586, Loss  0.651987, Average Loss  0.642814, Time  0.238617
2021-09-15 01:47:08.979063 : Epoch  1, Batch    162, Loss  1.123334, Average Loss  1.554852, Time  0.266157
2021-09-15 01:47:10.253879 : Epoch  1, Batch    587, Loss  0.643531, Average Loss  0.642797, Time  0.239849
2021-09-15 01:47:11.762999 : Epoch  1, Batch    588, Loss  0.643025, Average Loss  0.642800, Time  0.237566
2021-09-15 01:47:12.006482 : Epoch  1, Batch    163, Loss  1.151340, Average Loss  1.552377, Time  0.266325
2021-09-15 01:47:13.292932 : Epoch  1, Batch    589, Loss  0.640104, Average Loss  0.642806, Time  0.238716
2021-09-15 01:47:14.806105 : Epoch  1, Batch    590, Loss  0.641418, Average Loss  0.642822, Time  0.237854
2021-09-15 01:47:15.053333 : Epoch  1, Batch    164, Loss  1.140721, Average Loss  1.549866, Time  0.280059
2021-09-15 01:47:16.314905 : Epoch  1, Batch    591, Loss  0.648075, Average Loss  0.642811, Time  0.236886
2021-09-15 01:47:17.827414 : Epoch  1, Batch    592, Loss  0.644344, Average Loss  0.642810, Time  0.236930
2021-09-15 01:47:18.077231 : Epoch  1, Batch    165, Loss  1.139386, Average Loss  1.547379, Time  0.266308
2021-09-15 01:47:19.360472 : Epoch  1, Batch    593, Loss  0.638353, Average Loss  0.642767, Time  0.239229
2021-09-15 01:47:20.874061 : Epoch  1, Batch    594, Loss  0.641027, Average Loss  0.642765, Time  0.234460
2021-09-15 01:47:21.089545 : Epoch  1, Batch    166, Loss  1.136516, Average Loss  1.544904, Time  0.265590
2021-09-15 01:47:22.520150 : Epoch  1, Batch    595, Loss  0.645764, Average Loss  0.642779, Time  0.236141
2021-09-15 01:47:24.123555 : Epoch  1, Batch    167, Loss  1.135648, Average Loss  1.542453, Time  0.267078
2021-09-15 01:47:24.205858 : Epoch  1, Batch    596, Loss  0.645458, Average Loss  0.642773, Time  0.259455
2021-09-15 01:47:25.888889 : Epoch  1, Batch    597, Loss  0.637128, Average Loss  0.642721, Time  0.259928
2021-09-15 01:47:27.189251 : Epoch  1, Batch    168, Loss  1.129810, Average Loss  1.539997, Time  0.266416
2021-09-15 01:47:27.583186 : Epoch  1, Batch    598, Loss  0.642963, Average Loss  0.642721, Time  0.259140
2021-09-15 01:47:29.098105 : Epoch  1, Batch    599, Loss  0.646627, Average Loss  0.642724, Time  0.237796
2021-09-15 01:47:30.239573 : Epoch  1, Batch    169, Loss  1.145034, Average Loss  1.537660, Time  0.266191
2021-09-15 01:47:30.608794 : Epoch  1, Batch    600, Loss  0.637357, Average Loss  0.642723, Time  0.237749
2021-09-15 01:47:33.295552 : Epoch  1, Batch    170, Loss  1.125063, Average Loss  1.535233, Time  0.266997
2021-09-15 01:47:36.323920 : Epoch  1, Batch    171, Loss  1.123136, Average Loss  1.532823, Time  0.265779
2021-09-15 01:47:39.336576 : Epoch  1, Batch    172, Loss  1.152774, Average Loss  1.530613, Time  0.265476
2021-09-15 01:47:42.364137 : Epoch  1, Batch    173, Loss  1.115699, Average Loss  1.528215, Time  0.266767
2021-09-15 01:47:45.398195 : Epoch  1, Batch    174, Loss  1.108096, Average Loss  1.525800, Time  0.268089
2021-09-15 01:47:48.454393 : Epoch  1, Batch    175, Loss  1.130783, Average Loss  1.523543, Time  0.267093
2021-09-15 01:47:51.511662 : Epoch  1, Batch    176, Loss  1.101053, Average Loss  1.521143, Time  0.266746
2021-09-15 01:47:54.518959 : Epoch  1, Batch    177, Loss  1.121583, Average Loss  1.518885, Time  0.266602
2021-09-15 01:47:57.574271 : Epoch  1, Batch    178, Loss  1.083297, Average Loss  1.516438, Time  0.265687
2021-09-15 01:48:00.604691 : Epoch  1, Batch    179, Loss  1.086838, Average Loss  1.514038, Time  0.276815
2021-09-15 01:48:03.639347 : Epoch  1, Batch    180, Loss  1.090913, Average Loss  1.511687, Time  0.265386
2021-09-15 01:48:06.670175 : Epoch  1, Batch    181, Loss  1.099784, Average Loss  1.509412, Time  0.266373
2021-09-15 01:48:09.703772 : Epoch  1, Batch    182, Loss  1.088362, Average Loss  1.507098, Time  0.265572
2021-09-15 01:48:12.756775 : Epoch  1, Batch    183, Loss  1.092274, Average Loss  1.504831, Time  0.266512
2021-09-15 01:48:15.814561 : Epoch  1, Batch    184, Loss  1.081904, Average Loss  1.502533, Time  0.266131
2021-09-15 01:48:18.844796 : Epoch  1, Batch    185, Loss  1.063925, Average Loss  1.500162, Time  0.265331
2021-09-15 01:48:21.915726 : Epoch  1, Batch    186, Loss  1.060270, Average Loss  1.497797, Time  0.267609
2021-09-15 01:48:24.943115 : Epoch  1, Batch    187, Loss  1.089557, Average Loss  1.495614, Time  0.266079
2021-09-15 01:48:26.883696 : CheckPoint: Validation Loss  0.00027276, Best Loss  0.00026233
2021-09-15 01:48:27.956367 : Epoch  1, Batch    188, Loss  1.077122, Average Loss  1.493388, Time  0.265580
2021-09-15 01:48:28.403459 : Epoch  1, Batch    601, Loss  0.637031, Average Loss  0.642701, Time  0.245603
2021-09-15 01:48:29.939855 : Epoch  1, Batch    602, Loss  0.647711, Average Loss  0.642706, Time  0.238678
2021-09-15 01:48:30.976393 : Epoch  1, Batch    189, Loss  1.062298, Average Loss  1.491107, Time  0.265663
2021-09-15 01:48:31.478992 : Epoch  1, Batch    603, Loss  0.632487, Average Loss  0.642688, Time  0.237880
2021-09-15 01:48:32.993062 : Epoch  1, Batch    604, Loss  0.638381, Average Loss  0.642670, Time  0.237664
2021-09-15 01:48:34.023775 : Epoch  1, Batch    190, Loss  1.071037, Average Loss  1.488896, Time  0.266188
2021-09-15 01:48:34.573922 : Epoch  1, Batch    605, Loss  0.637362, Average Loss  0.642693, Time  0.240519
2021-09-15 01:48:36.101388 : Epoch  1, Batch    606, Loss  0.636336, Average Loss  0.642691, Time  0.238197
2021-09-15 01:48:37.062873 : Epoch  1, Batch    191, Loss  1.071694, Average Loss  1.486712, Time  0.265508
2021-09-15 01:48:37.641538 : Epoch  1, Batch    607, Loss  0.662746, Average Loss  0.642775, Time  0.237949
2021-09-15 01:48:39.160538 : Epoch  1, Batch    608, Loss  0.626862, Average Loss  0.642688, Time  0.235070
2021-09-15 01:48:40.086784 : Epoch  1, Batch    192, Loss  1.059313, Average Loss  1.484486, Time  0.265136
2021-09-15 01:48:40.682798 : Epoch  1, Batch    609, Loss  0.642731, Average Loss  0.642667, Time  0.235276
2021-09-15 01:48:42.223071 : Epoch  1, Batch    610, Loss  0.644599, Average Loss  0.642720, Time  0.241569
2021-09-15 01:48:43.114818 : Epoch  1, Batch    193, Loss  1.063676, Average Loss  1.482305, Time  0.265098
2021-09-15 01:48:43.752247 : Epoch  1, Batch    611, Loss  0.636031, Average Loss  0.642728, Time  0.240539
2021-09-15 01:48:45.295145 : Epoch  1, Batch    612, Loss  0.645152, Average Loss  0.642737, Time  0.239631
2021-09-15 01:48:46.169775 : Epoch  1, Batch    194, Loss  1.035071, Average Loss  1.480000, Time  0.279364
2021-09-15 01:48:46.824018 : Epoch  1, Batch    613, Loss  0.650699, Average Loss  0.642757, Time  0.239399
2021-09-15 01:48:48.341541 : Epoch  1, Batch    614, Loss  0.636837, Average Loss  0.642692, Time  0.240876
2021-09-15 01:48:49.220191 : Epoch  1, Batch    195, Loss  1.031602, Average Loss  1.477701, Time  0.267657
2021-09-15 01:48:49.871827 : Epoch  1, Batch    615, Loss  0.639647, Average Loss  0.642673, Time  0.237725
2021-09-15 01:48:51.401973 : Epoch  1, Batch    616, Loss  0.655267, Average Loss  0.642729, Time  0.239693
2021-09-15 01:48:52.281330 : Epoch  1, Batch    196, Loss  1.020087, Average Loss  1.475366, Time  0.265920
2021-09-15 01:48:52.919897 : Epoch  1, Batch    617, Loss  0.642263, Average Loss  0.642717, Time  0.238757
2021-09-15 01:48:54.443901 : Epoch  1, Batch    618, Loss  0.638957, Average Loss  0.642709, Time  0.238848
2021-09-15 01:48:55.315058 : Epoch  1, Batch    197, Loss  1.042904, Average Loss  1.473171, Time  0.266423
2021-09-15 01:48:55.959969 : Epoch  1, Batch    619, Loss  0.639301, Average Loss  0.642693, Time  0.237936
2021-09-15 01:48:57.478375 : Epoch  1, Batch    620, Loss  0.637834, Average Loss  0.642691, Time  0.239152
2021-09-15 01:48:58.338381 : Epoch  1, Batch    198, Loss  1.014663, Average Loss  1.470855, Time  0.266082
2021-09-15 01:48:58.998974 : Epoch  1, Batch    621, Loss  0.639777, Average Loss  0.642695, Time  0.238159
2021-09-15 01:49:00.519967 : Epoch  1, Batch    622, Loss  0.634805, Average Loss  0.642714, Time  0.238489
2021-09-15 01:49:01.377108 : Epoch  1, Batch    199, Loss  1.023811, Average Loss  1.468608, Time  0.266721
2021-09-15 01:49:02.041808 : Epoch  1, Batch    623, Loss  0.644660, Average Loss  0.642710, Time  0.235917
2021-09-15 01:49:03.708847 : Epoch  1, Batch    624, Loss  0.639751, Average Loss  0.642699, Time  0.242999
2021-09-15 01:49:04.431181 : Epoch  1, Batch    200, Loss  1.018026, Average Loss  1.466356, Time  0.266169
2021-09-15 01:49:05.230812 : Epoch  1, Batch    625, Loss  0.643768, Average Loss  0.642707, Time  0.238367
2021-09-15 01:49:06.757392 : Epoch  1, Batch    626, Loss  0.642476, Average Loss  0.642717, Time  0.239634
2021-09-15 01:49:08.277974 : Epoch  1, Batch    627, Loss  0.636935, Average Loss  0.642729, Time  0.237241
2021-09-15 01:49:09.797389 : Epoch  1, Batch    628, Loss  0.640263, Average Loss  0.642648, Time  0.237656
2021-09-15 01:49:11.318382 : Epoch  1, Batch    629, Loss  0.654201, Average Loss  0.642701, Time  0.238128
2021-09-15 01:49:12.824949 : Epoch  1, Batch    630, Loss  0.650022, Average Loss  0.642712, Time  0.236778
2021-09-15 01:49:14.347858 : Epoch  1, Batch    631, Loss  0.632571, Average Loss  0.642644, Time  0.237772
2021-09-15 01:49:15.868395 : Epoch  1, Batch    632, Loss  0.650264, Average Loss  0.642671, Time  0.235226
2021-09-15 01:49:17.418063 : Epoch  1, Batch    633, Loss  0.639469, Average Loss  0.642653, Time  0.240927
2021-09-15 01:49:18.947901 : Epoch  1, Batch    634, Loss  0.646383, Average Loss  0.642685, Time  0.240448
2021-09-15 01:49:20.488374 : Epoch  1, Batch    635, Loss  0.649308, Average Loss  0.642720, Time  0.238940
2021-09-15 01:49:22.013874 : Epoch  1, Batch    636, Loss  0.636080, Average Loss  0.642689, Time  0.238599
2021-09-15 01:49:23.534119 : Epoch  1, Batch    637, Loss  0.643894, Average Loss  0.642715, Time  0.238999
2021-09-15 01:49:25.045308 : Epoch  1, Batch    638, Loss  0.644783, Average Loss  0.642713, Time  0.240653
2021-09-15 01:49:26.590021 : Epoch  1, Batch    639, Loss  0.646713, Average Loss  0.642746, Time  0.240892
2021-09-15 01:49:28.119066 : Epoch  1, Batch    640, Loss  0.636150, Average Loss  0.642748, Time  0.239540
2021-09-15 01:49:29.653799 : Epoch  1, Batch    641, Loss  0.651631, Average Loss  0.642765, Time  0.240000
2021-09-15 01:49:31.183894 : Epoch  1, Batch    642, Loss  0.637121, Average Loss  0.642741, Time  0.236701
2021-09-15 01:49:32.721210 : Epoch  1, Batch    643, Loss  0.633882, Average Loss  0.642688, Time  0.251153
2021-09-15 01:49:34.237392 : Epoch  1, Batch    644, Loss  0.640137, Average Loss  0.642656, Time  0.237547
2021-09-15 01:49:35.777798 : Epoch  1, Batch    645, Loss  0.635275, Average Loss  0.642652, Time  0.242249
2021-09-15 01:49:37.301348 : Epoch  1, Batch    646, Loss  0.639145, Average Loss  0.642652, Time  0.239617
2021-09-15 01:49:38.821818 : Epoch  1, Batch    647, Loss  0.634922, Average Loss  0.642627, Time  0.238349
2021-09-15 01:49:40.344934 : Epoch  1, Batch    648, Loss  0.646388, Average Loss  0.642685, Time  0.240767
2021-09-15 01:49:41.872796 : Epoch  1, Batch    649, Loss  0.632046, Average Loss  0.642616, Time  0.238854
2021-09-15 01:49:43.401466 : Epoch  1, Batch    650, Loss  0.632672, Average Loss  0.642571, Time  0.238481
2021-09-15 01:49:44.925083 : Epoch  1, Batch    651, Loss  0.643821, Average Loss  0.642575, Time  0.237697
2021-09-15 01:49:46.440651 : Epoch  1, Batch    652, Loss  0.645927, Average Loss  0.642610, Time  0.236521
2021-09-15 01:49:47.958834 : Epoch  1, Batch    653, Loss  0.642844, Average Loss  0.642596, Time  0.236251
2021-09-15 01:49:49.518100 : Epoch  1, Batch    654, Loss  0.632775, Average Loss  0.642559, Time  0.239104
2021-09-15 01:49:51.038331 : Epoch  1, Batch    655, Loss  0.643111, Average Loss  0.642546, Time  0.236969
2021-09-15 01:49:52.564937 : Epoch  1, Batch    656, Loss  0.646087, Average Loss  0.641758, Time  0.239304
2021-09-15 01:49:54.096014 : Epoch  1, Batch    657, Loss  0.641452, Average Loss  0.641741, Time  0.240771
2021-09-15 01:49:55.631400 : Epoch  1, Batch    658, Loss  0.637802, Average Loss  0.641729, Time  0.240038
2021-09-15 01:49:57.161412 : Epoch  1, Batch    659, Loss  0.640702, Average Loss  0.641724, Time  0.238017
2021-09-15 01:49:58.688903 : Epoch  1, Batch    660, Loss  0.638878, Average Loss  0.641684, Time  0.239122
2021-09-15 01:50:00.218887 : Epoch  1, Batch    661, Loss  0.637254, Average Loss  0.641679, Time  0.237080
2021-09-15 01:50:01.753131 : Epoch  1, Batch    662, Loss  0.645821, Average Loss  0.641671, Time  0.237816
2021-09-15 01:50:03.288969 : Epoch  1, Batch    663, Loss  0.645675, Average Loss  0.641652, Time  0.238711
2021-09-15 01:50:04.818073 : Epoch  1, Batch    664, Loss  0.639191, Average Loss  0.641582, Time  0.239305
2021-09-15 01:50:06.332869 : Epoch  1, Batch    665, Loss  0.636666, Average Loss  0.641521, Time  0.236007
2021-09-15 01:50:07.861991 : Epoch  1, Batch    666, Loss  0.647076, Average Loss  0.641492, Time  0.239801
2021-09-15 01:50:09.371841 : Epoch  1, Batch    667, Loss  0.637519, Average Loss  0.641452, Time  0.240999
2021-09-15 01:50:10.890827 : Epoch  1, Batch    668, Loss  0.643287, Average Loss  0.641476, Time  0.237932
2021-09-15 01:50:12.415902 : Epoch  1, Batch    669, Loss  0.644014, Average Loss  0.641509, Time  0.237630
2021-09-15 01:50:13.925022 : Epoch  1, Batch    670, Loss  0.635582, Average Loss  0.641492, Time  0.238948
2021-09-15 01:50:17.762912 : Epoch  1, Batch    671, Loss  0.644300, Average Loss  0.641443, Time  0.269832
2021-09-15 01:50:19.302410 : Epoch  1, Batch    672, Loss  0.647345, Average Loss  0.641482, Time  0.244589
2021-09-15 01:50:20.835908 : Epoch  1, Batch    673, Loss  0.646789, Average Loss  0.641539, Time  0.236732
2021-09-15 01:50:22.364299 : Epoch  1, Batch    674, Loss  0.642336, Average Loss  0.641546, Time  0.238703
2021-09-15 01:50:23.892402 : Epoch  1, Batch    675, Loss  0.634813, Average Loss  0.641513, Time  0.237907
2021-09-15 01:50:25.436916 : Epoch  1, Batch    676, Loss  0.631128, Average Loss  0.641483, Time  0.254705
2021-09-15 01:50:27.114783 : Epoch  1, Batch    677, Loss  0.643453, Average Loss  0.641485, Time  0.257625
2021-09-15 01:50:28.817503 : Epoch  1, Batch    678, Loss  0.637626, Average Loss  0.641477, Time  0.258781
2021-09-15 01:50:30.499866 : Epoch  1, Batch    679, Loss  0.642929, Average Loss  0.641466, Time  0.256490
2021-09-15 01:50:32.026375 : Epoch  1, Batch    680, Loss  0.646236, Average Loss  0.641487, Time  0.239223
2021-09-15 01:50:33.568284 : Epoch  1, Batch    681, Loss  0.649269, Average Loss  0.641515, Time  0.238566
2021-09-15 01:50:35.104420 : Epoch  1, Batch    682, Loss  0.643995, Average Loss  0.641522, Time  0.238394
2021-09-15 01:50:35.369673 : Building dataset train from orignial text documents
2021-09-15 01:50:36.630988 : Epoch  1, Batch    683, Loss  0.630890, Average Loss  0.641459, Time  0.235626
2021-09-15 01:50:38.147882 : Epoch  1, Batch    684, Loss  0.640787, Average Loss  0.641448, Time  0.238876
2021-09-15 01:50:39.696811 : Epoch  1, Batch    685, Loss  0.642345, Average Loss  0.641445, Time  0.241049
2021-09-15 01:50:41.230491 : Epoch  1, Batch    686, Loss  0.643806, Average Loss  0.641421, Time  0.238144
2021-09-15 01:50:42.752029 : Epoch  1, Batch    687, Loss  0.639008, Average Loss  0.641412, Time  0.234729
2021-09-15 01:50:44.278832 : Epoch  1, Batch    688, Loss  0.638953, Average Loss  0.641397, Time  0.234338
2021-09-15 01:50:45.963898 : Epoch  1, Batch    689, Loss  0.637267, Average Loss  0.641312, Time  0.257350
2021-09-15 01:50:47.527824 : Epoch  1, Batch    690, Loss  0.636447, Average Loss  0.641307, Time  0.239113
2021-09-15 01:50:49.070026 : Epoch  1, Batch    691, Loss  0.641812, Average Loss  0.641328, Time  0.238405
2021-09-15 01:50:50.604388 : Epoch  1, Batch    692, Loss  0.643852, Average Loss  0.641369, Time  0.239798
2021-09-15 01:50:52.148111 : Epoch  1, Batch    693, Loss  0.630648, Average Loss  0.641294, Time  0.237120
2021-09-15 01:50:53.675905 : Epoch  1, Batch    694, Loss  0.631908, Average Loss  0.641209, Time  0.238614
2021-09-15 01:50:55.204999 : Epoch  1, Batch    695, Loss  0.649551, Average Loss  0.641301, Time  0.240915
2021-09-15 01:50:56.741349 : Epoch  1, Batch    696, Loss  0.635480, Average Loss  0.641242, Time  0.237008
2021-09-15 01:50:58.274870 : Epoch  1, Batch    697, Loss  0.637559, Average Loss  0.641181, Time  0.237966
2021-09-15 01:50:59.795621 : Epoch  1, Batch    698, Loss  0.638660, Average Loss  0.641142, Time  0.235830
2021-09-15 01:51:01.349979 : Epoch  1, Batch    699, Loss  0.641740, Average Loss  0.641149, Time  0.240571
2021-09-15 01:51:02.865847 : Epoch  1, Batch    700, Loss  0.641652, Average Loss  0.641160, Time  0.235949
2021-09-15 01:51:59.232706 : CheckPoint: Validation Loss  0.00026654, Best Loss  0.00026233
2021-09-15 01:52:00.783788 : Epoch  1, Batch    701, Loss  0.630004, Average Loss  0.641137, Time  0.276436
2021-09-15 01:52:02.309566 : Epoch  1, Batch    702, Loss  0.647096, Average Loss  0.641158, Time  0.257076
2021-09-15 01:52:03.836792 : Epoch  1, Batch    703, Loss  0.643046, Average Loss  0.641123, Time  0.243742
2021-09-15 01:52:05.359913 : Epoch  1, Batch    704, Loss  0.637647, Average Loss  0.641107, Time  0.239882
2021-09-15 01:52:06.884885 : Epoch  1, Batch    705, Loss  0.636770, Average Loss  0.641151, Time  0.242017
2021-09-15 01:52:08.393795 : Epoch  1, Batch    706, Loss  0.635978, Average Loss  0.641108, Time  0.238036
2021-09-15 01:52:09.904014 : Epoch  1, Batch    707, Loss  0.644863, Average Loss  0.641136, Time  0.239342
2021-09-15 01:52:11.428401 : Epoch  1, Batch    708, Loss  0.650791, Average Loss  0.641209, Time  0.238714
2021-09-15 01:52:12.935868 : Epoch  1, Batch    709, Loss  0.641315, Average Loss  0.641217, Time  0.236005
2021-09-15 01:52:14.440886 : Epoch  1, Batch    710, Loss  0.645296, Average Loss  0.641252, Time  0.235503
2021-09-15 01:52:15.953889 : Epoch  1, Batch    711, Loss  0.633895, Average Loss  0.641264, Time  0.239395
2021-09-15 01:52:17.487916 : Epoch  1, Batch    712, Loss  0.637010, Average Loss  0.641286, Time  0.254904
2021-09-15 01:52:19.167961 : Epoch  1, Batch    713, Loss  0.639755, Average Loss  0.641289, Time  0.259813
2021-09-15 01:52:20.834447 : Epoch  1, Batch    714, Loss  0.649389, Average Loss  0.641367, Time  0.256487
2021-09-15 01:52:22.517405 : Epoch  1, Batch    715, Loss  0.633574, Average Loss  0.641288, Time  0.259143
2021-09-15 01:52:24.189390 : Epoch  1, Batch    716, Loss  0.642703, Average Loss  0.641266, Time  0.257859
2021-09-15 01:52:25.861460 : Epoch  1, Batch    717, Loss  0.639697, Average Loss  0.641222, Time  0.256192
2021-09-15 01:52:27.393966 : Epoch  1, Batch    718, Loss  0.638629, Average Loss  0.641193, Time  0.239726
2021-09-15 01:52:28.905069 : Epoch  1, Batch    719, Loss  0.634264, Average Loss  0.641113, Time  0.238361
2021-09-15 01:52:30.428448 : Epoch  1, Batch    720, Loss  0.636322, Average Loss  0.641072, Time  0.237527
2021-09-15 01:52:31.962893 : Epoch  1, Batch    721, Loss  0.637406, Average Loss  0.641024, Time  0.239794
2021-09-15 01:52:33.469417 : Epoch  1, Batch    722, Loss  0.636378, Average Loss  0.641028, Time  0.238489
2021-09-15 01:52:34.977009 : Epoch  1, Batch    723, Loss  0.647027, Average Loss  0.641078, Time  0.239769
2021-09-15 01:52:36.504459 : Epoch  1, Batch    724, Loss  0.629021, Average Loss  0.641038, Time  0.240010
2021-09-15 01:52:38.018082 : Epoch  1, Batch    725, Loss  0.630105, Average Loss  0.640968, Time  0.235729
2021-09-15 01:52:39.523345 : Epoch  1, Batch    726, Loss  0.635828, Average Loss  0.640957, Time  0.238692
2021-09-15 01:52:41.099027 : Epoch  1, Batch    727, Loss  0.637445, Average Loss  0.640956, Time  0.239238
2021-09-15 01:52:42.615434 : Epoch  1, Batch    728, Loss  0.643703, Average Loss  0.640998, Time  0.238530
2021-09-15 01:52:44.117747 : Epoch  1, Batch    729, Loss  0.646395, Average Loss  0.641024, Time  0.238508
2021-09-15 01:52:45.624817 : Epoch  1, Batch    730, Loss  0.637810, Average Loss  0.641042, Time  0.238767
2021-09-15 01:52:47.144034 : Epoch  1, Batch    731, Loss  0.639966, Average Loss  0.641065, Time  0.240213
2021-09-15 01:52:48.666448 : Epoch  1, Batch    732, Loss  0.638257, Average Loss  0.641037, Time  0.239668
2021-09-15 01:52:50.183943 : Epoch  1, Batch    733, Loss  0.645531, Average Loss  0.641056, Time  0.238196
2021-09-15 01:52:51.702897 : Epoch  1, Batch    734, Loss  0.645118, Average Loss  0.641094, Time  0.237848
2021-09-15 01:52:53.210787 : Epoch  1, Batch    735, Loss  0.630119, Average Loss  0.641050, Time  0.237111
2021-09-15 01:52:54.734208 : Epoch  1, Batch    736, Loss  0.641458, Average Loss  0.641028, Time  0.238870
2021-09-15 01:52:56.244417 : Epoch  1, Batch    737, Loss  0.639221, Average Loss  0.640993, Time  0.237638
2021-09-15 01:52:57.749990 : Epoch  1, Batch    738, Loss  0.634496, Average Loss  0.640921, Time  0.238317
2021-09-15 01:52:59.259987 : Epoch  1, Batch    739, Loss  0.635014, Average Loss  0.640898, Time  0.236991
2021-09-15 01:53:00.775182 : Epoch  1, Batch    740, Loss  0.645437, Average Loss  0.640902, Time  0.237751
2021-09-15 01:53:02.344866 : Epoch  1, Batch    741, Loss  0.647781, Average Loss  0.640967, Time  0.238611
2021-09-15 01:53:03.858953 : Epoch  1, Batch    742, Loss  0.635211, Average Loss  0.640889, Time  0.237046
2021-09-15 01:53:05.375765 : Epoch  1, Batch    743, Loss  0.637458, Average Loss  0.640874, Time  0.239957
2021-09-15 01:53:06.898538 : Epoch  1, Batch    744, Loss  0.644095, Average Loss  0.640930, Time  0.242564
2021-09-15 01:53:08.432898 : Epoch  1, Batch    745, Loss  0.641652, Average Loss  0.640937, Time  0.240193
2021-09-15 01:53:09.946862 : Epoch  1, Batch    746, Loss  0.632752, Average Loss  0.640922, Time  0.238743
2021-09-15 01:53:11.458949 : Epoch  1, Batch    747, Loss  0.633192, Average Loss  0.640837, Time  0.237504
2021-09-15 01:53:12.980036 : Epoch  1, Batch    748, Loss  0.634881, Average Loss  0.640780, Time  0.237650
2021-09-15 01:53:14.492807 : Epoch  1, Batch    749, Loss  0.638082, Average Loss  0.640733, Time  0.239950
2021-09-15 01:53:16.016963 : Epoch  1, Batch    750, Loss  0.636863, Average Loss  0.640754, Time  0.238711
2021-09-15 01:53:17.537241 : Epoch  1, Batch    751, Loss  0.646367, Average Loss  0.640842, Time  0.236858
2021-09-15 01:53:19.049436 : Epoch  1, Batch    752, Loss  0.644015, Average Loss  0.640858, Time  0.239610
2021-09-15 01:53:20.566845 : Epoch  1, Batch    753, Loss  0.645050, Average Loss  0.640872, Time  0.236661
2021-09-15 01:53:22.090869 : Epoch  1, Batch    754, Loss  0.629086, Average Loss  0.640786, Time  0.239750
2021-09-15 01:53:23.621904 : Epoch  1, Batch    755, Loss  0.640348, Average Loss  0.640765, Time  0.242349
2021-09-15 01:53:25.149448 : Epoch  1, Batch    756, Loss  0.636975, Average Loss  0.640707, Time  0.238597
2021-09-15 01:53:26.665107 : Epoch  1, Batch    757, Loss  0.639590, Average Loss  0.640682, Time  0.239525
2021-09-15 01:53:28.181379 : Epoch  1, Batch    758, Loss  0.646271, Average Loss  0.640733, Time  0.240698
2021-09-15 01:53:29.715031 : Epoch  1, Batch    759, Loss  0.645336, Average Loss  0.640726, Time  0.238095
2021-09-15 01:53:31.235040 : Epoch  1, Batch    760, Loss  0.633898, Average Loss  0.640736, Time  0.237036
2021-09-15 01:53:32.759004 : Epoch  1, Batch    761, Loss  0.647288, Average Loss  0.640706, Time  0.236193
2021-09-15 01:53:34.356271 : Epoch  1, Batch    762, Loss  0.639548, Average Loss  0.640730, Time  0.258732
2021-09-15 01:53:36.027013 : Epoch  1, Batch    763, Loss  0.655922, Average Loss  0.640747, Time  0.256130
2021-09-15 01:53:37.545874 : Epoch  1, Batch    764, Loss  0.639357, Average Loss  0.640696, Time  0.235951
2021-09-15 01:53:39.089830 : Epoch  1, Batch    765, Loss  0.642252, Average Loss  0.640707, Time  0.237594
2021-09-15 01:53:40.595454 : Epoch  1, Batch    766, Loss  0.636813, Average Loss  0.640701, Time  0.236110
2021-09-15 01:53:42.100030 : Epoch  1, Batch    767, Loss  0.635653, Average Loss  0.640658, Time  0.236176
2021-09-15 01:53:43.311624 : Finish Loading dataset train
2021-09-15 01:53:43.337704 : Data Shuffle
2021-09-15 01:53:43.368489 : Start Shuffling
2021-09-15 01:53:43.615425 : Epoch  1, Batch    768, Loss  0.645437, Average Loss  0.640655, Time  0.240461
2021-09-15 01:53:44.591491 : Finish Shuffling
2021-09-15 01:53:44.675638 : Generate Batch
2021-09-15 01:53:45.019047 : Building dataset valid from orignial text documents
2021-09-15 01:53:45.131032 : Epoch  1, Batch    769, Loss  0.629015, Average Loss  0.640547, Time  0.239683
2021-09-15 01:53:46.652140 : Epoch  1, Batch    770, Loss  0.637515, Average Loss  0.640530, Time  0.240648
2021-09-15 01:53:50.607922 : Epoch  1, Batch    771, Loss  0.632986, Average Loss  0.640506, Time  0.274620
2021-09-15 01:53:52.144413 : Epoch  1, Batch    772, Loss  0.642067, Average Loss  0.640507, Time  0.255038
2021-09-15 01:53:53.407629 : Finish Loading dataset valid
2021-09-15 01:53:53.429282 : Data Shuffle
2021-09-15 01:53:53.459981 : Start Shuffling
2021-09-15 01:53:53.538735 : Finish Shuffling
2021-09-15 01:53:53.570338 : Generate Batch
2021-09-15 01:53:53.613118 : There are 1856 batches per epoch
2021-09-15 01:53:53.644793 : Batch Shuffled
2021-09-15 01:53:53.673077 : Epoch  1, Batch    773, Loss  0.635587, Average Loss  0.640496, Time  0.246519
2021-09-15 01:53:55.265477 : Epoch  1, Batch    774, Loss  0.639016, Average Loss  0.640488, Time  0.257555
2021-09-15 01:53:56.946553 : Epoch  1, Batch    775, Loss  0.641831, Average Loss  0.640499, Time  0.256599
2021-09-15 01:53:56.971483 : Epoch  1, Batch      1, Loss  1.990477, Average Loss  1.990477, Time  0.504819
2021-09-15 01:53:58.454369 : Epoch  1, Batch    776, Loss  0.639267, Average Loss  0.640508, Time  0.236644
2021-09-15 01:53:59.971924 : Epoch  1, Batch    777, Loss  0.629166, Average Loss  0.640491, Time  0.238117
2021-09-15 01:54:00.049872 : Epoch  1, Batch      2, Loss  1.988133, Average Loss  1.989305, Time  0.276188
2021-09-15 01:54:01.492845 : Epoch  1, Batch    778, Loss  0.638947, Average Loss  0.640527, Time  0.240282
2021-09-15 01:54:03.019511 : Epoch  1, Batch    779, Loss  0.633680, Average Loss  0.640508, Time  0.237558
2021-09-15 01:54:03.139192 : Epoch  1, Batch      3, Loss  1.994612, Average Loss  1.991074, Time  0.267061
2021-09-15 01:54:04.531387 : Epoch  1, Batch    780, Loss  0.635143, Average Loss  0.640508, Time  0.238187
2021-09-15 01:54:06.053413 : Epoch  1, Batch    781, Loss  0.633774, Average Loss  0.640425, Time  0.235749
2021-09-15 01:54:06.242329 : Epoch  1, Batch      4, Loss  1.989927, Average Loss  1.990787, Time  0.268820
2021-09-15 01:54:07.588058 : Epoch  1, Batch    782, Loss  0.643382, Average Loss  0.640468, Time  0.240193
2021-09-15 01:54:09.112874 : Epoch  1, Batch    783, Loss  0.638657, Average Loss  0.640460, Time  0.240847
2021-09-15 01:54:09.290883 : Epoch  1, Batch      5, Loss  1.987262, Average Loss  1.990082, Time  0.265653
2021-09-15 01:54:10.629399 : Epoch  1, Batch    784, Loss  0.639419, Average Loss  0.640451, Time  0.235899
2021-09-15 01:54:12.145425 : Epoch  1, Batch    785, Loss  0.641850, Average Loss  0.640426, Time  0.239340
2021-09-15 01:54:12.384983 : Epoch  1, Batch      6, Loss  1.981792, Average Loss  1.988701, Time  0.267010
2021-09-15 01:54:13.671834 : Epoch  1, Batch    786, Loss  0.641991, Average Loss  0.640376, Time  0.237828
2021-09-15 01:54:15.232593 : Epoch  1, Batch    787, Loss  0.640365, Average Loss  0.640360, Time  0.237112
2021-09-15 01:54:15.264564 : Saving Model after 1-th Epoch.
2021-09-15 01:54:15.436045 : Epoch  1, Batch      7, Loss  1.980187, Average Loss  1.987484, Time  0.266950
2021-09-15 01:54:16.244671 : Epoch Finished.
2021-09-15 01:54:18.556014 : Epoch  1, Batch      8, Loss  1.966370, Average Loss  1.984845, Time  0.266365
2021-09-15 01:54:18.602603 : Batch Shuffled
2021-09-15 01:54:20.296121 : Epoch  2, Batch      1, Loss  0.640362, Average Loss  0.640347, Time  0.257200
2021-09-15 01:54:21.625139 : Epoch  1, Batch      9, Loss  1.972906, Average Loss  1.983519, Time  0.267166
2021-09-15 01:54:21.810138 : Epoch  2, Batch      2, Loss  0.645311, Average Loss  0.640373, Time  0.238021
2021-09-15 01:54:23.335008 : Epoch  2, Batch      3, Loss  0.634292, Average Loss  0.640337, Time  0.237297
2021-09-15 01:54:24.748150 : Epoch  1, Batch     10, Loss  1.961626, Average Loss  1.981329, Time  0.266272
2021-09-15 01:54:24.852884 : Epoch  2, Batch      4, Loss  0.645336, Average Loss  0.640324, Time  0.239563
2021-09-15 01:54:26.375910 : Epoch  2, Batch      5, Loss  0.641530, Average Loss  0.640310, Time  0.238301
2021-09-15 01:54:27.833791 : Epoch  1, Batch     11, Loss  1.948240, Average Loss  1.978321, Time  0.266700
2021-09-15 01:54:27.893977 : Epoch  2, Batch      6, Loss  0.634845, Average Loss  0.640292, Time  0.237763
2021-09-15 01:54:29.402957 : Epoch  2, Batch      7, Loss  0.639288, Average Loss  0.640283, Time  0.238443
2021-09-15 01:54:30.910910 : Epoch  2, Batch      8, Loss  0.628748, Average Loss  0.640198, Time  0.238945
2021-09-15 01:54:30.936241 : Epoch  1, Batch     12, Loss  1.941723, Average Loss  1.975271, Time  0.266714
2021-09-15 01:54:32.428435 : Epoch  2, Batch      9, Loss  0.645389, Average Loss  0.640198, Time  0.243133
2021-09-15 01:54:33.938992 : Epoch  2, Batch     10, Loss  0.641701, Average Loss  0.640221, Time  0.237162
2021-09-15 01:54:34.068647 : Epoch  1, Batch     13, Loss  1.924096, Average Loss  1.971335, Time  0.266186
2021-09-15 01:54:35.461416 : Epoch  2, Batch     11, Loss  0.637845, Average Loss  0.640195, Time  0.237277
2021-09-15 01:54:37.000908 : Epoch  2, Batch     12, Loss  0.639586, Average Loss  0.640160, Time  0.240793
2021-09-15 01:54:37.129744 : Epoch  1, Batch     14, Loss  1.913590, Average Loss  1.967210, Time  0.265870
2021-09-15 01:54:38.509266 : Epoch  2, Batch     13, Loss  0.643815, Average Loss  0.640192, Time  0.236669
2021-09-15 01:54:40.194070 : Epoch  1, Batch     15, Loss  1.899958, Average Loss  1.962727, Time  0.266233
2021-09-15 01:54:43.255725 : Epoch  1, Batch     16, Loss  1.893461, Average Loss  1.958398, Time  0.265784
2021-09-15 01:54:46.354189 : Epoch  1, Batch     17, Loss  1.881171, Average Loss  1.953855, Time  0.275607
2021-09-15 01:54:49.448089 : Epoch  1, Batch     18, Loss  1.863629, Average Loss  1.948842, Time  0.267581
2021-09-15 01:54:52.538697 : Epoch  1, Batch     19, Loss  1.848881, Average Loss  1.943581, Time  0.266261
2021-09-15 01:54:55.610820 : Epoch  1, Batch     20, Loss  1.836156, Average Loss  1.938210, Time  0.265980
2021-09-15 01:54:58.699779 : Epoch  1, Batch     21, Loss  1.820740, Average Loss  1.932616, Time  0.267471
2021-09-15 01:55:01.775497 : Epoch  1, Batch     22, Loss  1.817732, Average Loss  1.927394, Time  0.266007
2021-09-15 01:55:04.846009 : Epoch  1, Batch     23, Loss  1.793797, Average Loss  1.921586, Time  0.266216
2021-09-15 01:55:07.933264 : Epoch  1, Batch     24, Loss  1.780199, Average Loss  1.915694, Time  0.268654
2021-09-15 01:55:11.021014 : Epoch  1, Batch     25, Loss  1.781078, Average Loss  1.910310, Time  0.266501
2021-09-15 01:55:14.100640 : Epoch  1, Batch     26, Loss  1.771016, Average Loss  1.904952, Time  0.266698
2021-09-15 01:55:17.167920 : Epoch  1, Batch     27, Loss  1.757242, Average Loss  1.899482, Time  0.266590
2021-09-15 01:55:20.230540 : Epoch  1, Batch     28, Loss  1.744665, Average Loss  1.893952, Time  0.267381
2021-09-15 01:55:23.298555 : Epoch  1, Batch     29, Loss  1.746303, Average Loss  1.888861, Time  0.265937
2021-09-15 01:55:26.393826 : Epoch  1, Batch     30, Loss  1.739645, Average Loss  1.883887, Time  0.267209
2021-09-15 01:55:29.479684 : Epoch  1, Batch     31, Loss  1.727436, Average Loss  1.878840, Time  0.267550
2021-09-15 01:55:32.579030 : Epoch  1, Batch     32, Loss  1.712534, Average Loss  1.873643, Time  0.278700
2021-09-15 01:55:34.929317 : CheckPoint: Validation Loss  0.00027227, Best Loss  0.00026233
2021-09-15 01:55:35.636320 : Epoch  1, Batch     33, Loss  1.713164, Average Loss  1.868780, Time  0.266984
2021-09-15 01:55:36.456978 : Epoch  2, Batch     14, Loss  0.635094, Average Loss  0.640183, Time  0.238188
2021-09-15 01:55:37.985982 : Epoch  2, Batch     15, Loss  0.637862, Average Loss  0.640133, Time  0.242752
2021-09-15 01:55:38.697852 : Epoch  1, Batch     34, Loss  1.708402, Average Loss  1.864063, Time  0.265919
2021-09-15 01:55:39.519058 : Epoch  2, Batch     16, Loss  0.632038, Average Loss  0.640131, Time  0.238450
2021-09-15 01:55:41.039939 : Epoch  2, Batch     17, Loss  0.633175, Average Loss  0.640105, Time  0.237592
2021-09-15 01:55:41.763009 : Epoch  1, Batch     35, Loss  1.695332, Average Loss  1.859242, Time  0.266813
2021-09-15 01:55:42.571020 : Epoch  2, Batch     18, Loss  0.643432, Average Loss  0.640135, Time  0.237249
2021-09-15 01:55:44.084988 : Epoch  2, Batch     19, Loss  0.633082, Average Loss  0.640119, Time  0.239153
2021-09-15 01:55:44.827664 : Epoch  1, Batch     36, Loss  1.713396, Average Loss  1.855191, Time  0.266782
2021-09-15 01:55:45.598853 : Epoch  2, Batch     20, Loss  0.638324, Average Loss  0.639997, Time  0.239276
2021-09-15 01:55:47.117976 : Epoch  2, Batch     21, Loss  0.634237, Average Loss  0.640034, Time  0.239609
2021-09-15 01:55:47.920874 : Epoch  1, Batch     37, Loss  1.693230, Average Loss  1.850814, Time  0.266745
2021-09-15 01:55:48.637337 : Epoch  2, Batch     22, Loss  0.638109, Average Loss  0.640011, Time  0.239875
2021-09-15 01:55:50.159210 : Epoch  2, Batch     23, Loss  0.645758, Average Loss  0.640017, Time  0.242307
2021-09-15 01:55:51.022715 : Epoch  1, Batch     38, Loss  1.707381, Average Loss  1.847039, Time  0.266827
2021-09-15 01:55:51.668926 : Epoch  2, Batch     24, Loss  0.634037, Average Loss  0.640007, Time  0.237095
2021-09-15 01:55:53.176113 : Epoch  2, Batch     25, Loss  0.644821, Average Loss  0.640005, Time  0.238936
2021-09-15 01:55:54.096855 : Epoch  1, Batch     39, Loss  1.700377, Average Loss  1.843279, Time  0.266614
2021-09-15 01:55:54.686766 : Epoch  2, Batch     26, Loss  0.645814, Average Loss  0.639981, Time  0.239183
2021-09-15 01:55:56.196799 : Epoch  2, Batch     27, Loss  0.633968, Average Loss  0.639966, Time  0.238118
2021-09-15 01:55:57.169464 : Epoch  1, Batch     40, Loss  1.679333, Average Loss  1.839180, Time  0.266231
2021-09-15 01:55:57.716994 : Epoch  2, Batch     28, Loss  0.647172, Average Loss  0.640004, Time  0.237036
2021-09-15 01:55:59.241805 : Epoch  2, Batch     29, Loss  0.644902, Average Loss  0.639952, Time  0.240443
2021-09-15 01:56:00.247018 : Epoch  1, Batch     41, Loss  1.698105, Average Loss  1.835739, Time  0.266547
2021-09-15 01:56:00.755333 : Epoch  2, Batch     30, Loss  0.634437, Average Loss  0.639913, Time  0.236066
2021-09-15 01:56:02.264822 : Epoch  2, Batch     31, Loss  0.634113, Average Loss  0.639889, Time  0.235473
2021-09-15 01:56:03.363078 : Epoch  1, Batch     42, Loss  1.685498, Average Loss  1.832162, Time  0.267314
2021-09-15 01:56:03.772010 : Epoch  2, Batch     32, Loss  0.647350, Average Loss  0.639929, Time  0.236162
2021-09-15 01:56:05.279912 : Epoch  2, Batch     33, Loss  0.636771, Average Loss  0.639924, Time  0.237825
2021-09-15 01:56:06.433821 : Epoch  1, Batch     43, Loss  1.693738, Average Loss  1.828943, Time  0.268619
2021-09-15 01:56:06.783688 : Epoch  2, Batch     34, Loss  0.644277, Average Loss  0.639946, Time  0.239817
2021-09-15 01:56:08.308373 : Epoch  2, Batch     35, Loss  0.637471, Average Loss  0.639959, Time  0.237353
2021-09-15 01:56:09.529151 : Epoch  1, Batch     44, Loss  1.691993, Average Loss  1.825830, Time  0.266750
2021-09-15 01:56:09.846060 : Epoch  2, Batch     36, Loss  0.640617, Average Loss  0.639939, Time  0.240707
2021-09-15 01:56:11.361951 : Epoch  2, Batch     37, Loss  0.649982, Average Loss  0.639990, Time  0.240114
2021-09-15 01:56:12.617083 : Epoch  1, Batch     45, Loss  1.689946, Average Loss  1.822811, Time  0.267732
2021-09-15 01:56:12.890042 : Epoch  2, Batch     38, Loss  0.646683, Average Loss  0.640005, Time  0.240481
2021-09-15 01:56:14.393813 : Epoch  2, Batch     39, Loss  0.633176, Average Loss  0.639958, Time  0.239533
2021-09-15 01:56:15.708730 : Epoch  1, Batch     46, Loss  1.680891, Average Loss  1.819725, Time  0.265776
2021-09-15 01:56:15.913997 : Epoch  2, Batch     40, Loss  0.640924, Average Loss  0.639978, Time  0.239031
2021-09-15 01:56:17.452434 : Epoch  2, Batch     41, Loss  0.631759, Average Loss  0.639936, Time  0.236614
2021-09-15 01:56:18.790536 : Epoch  1, Batch     47, Loss  1.673863, Average Loss  1.816622, Time  0.275765
2021-09-15 01:56:18.981087 : Epoch  2, Batch     42, Loss  0.638413, Average Loss  0.639857, Time  0.238408
2021-09-15 01:56:20.487375 : Epoch  2, Batch     43, Loss  0.631583, Average Loss  0.639765, Time  0.238122
2021-09-15 01:56:21.862755 : Epoch  1, Batch     48, Loss  1.674564, Average Loss  1.813662, Time  0.266457
2021-09-15 01:56:21.996078 : Epoch  2, Batch     44, Loss  0.641386, Average Loss  0.639809, Time  0.237954
2021-09-15 01:56:23.498804 : Epoch  2, Batch     45, Loss  0.640245, Average Loss  0.639759, Time  0.236767
2021-09-15 01:56:24.970768 : Epoch  1, Batch     49, Loss  1.686136, Average Loss  1.811060, Time  0.265754
2021-09-15 01:56:25.003289 : Epoch  2, Batch     46, Loss  0.631234, Average Loss  0.639718, Time  0.239633
2021-09-15 01:56:26.534460 : Epoch  2, Batch     47, Loss  0.644441, Average Loss  0.639708, Time  0.237860
2021-09-15 01:56:28.059868 : Epoch  2, Batch     48, Loss  0.637102, Average Loss  0.639647, Time  0.238466
2021-09-15 01:56:28.065187 : Epoch  1, Batch     50, Loss  1.667526, Average Loss  1.808189, Time  0.267030
2021-09-15 01:56:29.587867 : Epoch  2, Batch     49, Loss  0.641259, Average Loss  0.639673, Time  0.239174
2021-09-15 01:56:31.099902 : Epoch  2, Batch     50, Loss  0.638782, Average Loss  0.639647, Time  0.237382
2021-09-15 01:56:31.191071 : Epoch  1, Batch     51, Loss  1.669550, Average Loss  1.805471, Time  0.266141
2021-09-15 01:56:32.612116 : Epoch  2, Batch     51, Loss  0.637327, Average Loss  0.639610, Time  0.239140
2021-09-15 01:56:34.145774 : Epoch  2, Batch     52, Loss  0.649956, Average Loss  0.639626, Time  0.238908
2021-09-15 01:56:34.262383 : Epoch  1, Batch     52, Loss  1.671049, Average Loss  1.802886, Time  0.265866
2021-09-15 01:56:35.678507 : Epoch  2, Batch     53, Loss  0.644883, Average Loss  0.639670, Time  0.239236
2021-09-15 01:56:37.190920 : Epoch  2, Batch     54, Loss  0.633533, Average Loss  0.639579, Time  0.236014
2021-09-15 01:56:37.320319 : Epoch  1, Batch     53, Loss  1.650166, Average Loss  1.800004, Time  0.267106
2021-09-15 01:56:38.841279 : Epoch  2, Batch     55, Loss  0.633520, Average Loss  0.639561, Time  0.242851
2021-09-15 01:56:40.375426 : Epoch  1, Batch     54, Loss  1.663405, Average Loss  1.797475, Time  0.265967
2021-09-15 01:56:40.376185 : Epoch  2, Batch     56, Loss  0.649209, Average Loss  0.639638, Time  0.239229
2021-09-15 01:56:41.920437 : Epoch  2, Batch     57, Loss  0.640342, Average Loss  0.639639, Time  0.237752
2021-09-15 01:56:43.456797 : Epoch  1, Batch     55, Loss  1.674977, Average Loss  1.795247, Time  0.265645
2021-09-15 01:56:43.617526 : Epoch  2, Batch     58, Loss  0.642510, Average Loss  0.639675, Time  0.256965
2021-09-15 01:56:45.276444 : Epoch  2, Batch     59, Loss  0.638895, Average Loss  0.639674, Time  0.255693
2021-09-15 01:56:46.518386 : Epoch  1, Batch     56, Loss  1.669662, Average Loss  1.793005, Time  0.266145
2021-09-15 01:56:46.940924 : Epoch  2, Batch     60, Loss  0.635967, Average Loss  0.639679, Time  0.255832
2021-09-15 01:56:48.602030 : Epoch  2, Batch     61, Loss  0.648614, Average Loss  0.639690, Time  0.256773
2021-09-15 01:56:49.582203 : Epoch  1, Batch     57, Loss  1.665504, Average Loss  1.790768, Time  0.265548
2021-09-15 01:56:50.279572 : Epoch  2, Batch     62, Loss  0.627520, Average Loss  0.639668, Time  0.257200
2021-09-15 01:56:51.794626 : Epoch  2, Batch     63, Loss  0.639776, Average Loss  0.639703, Time  0.235584
2021-09-15 01:56:52.673989 : Epoch  1, Batch     58, Loss  1.657732, Average Loss  1.788474, Time  0.265924
2021-09-15 01:56:53.302082 : Epoch  2, Batch     64, Loss  0.637161, Average Loss  0.639670, Time  0.236148
2021-09-15 01:56:54.821123 : Epoch  2, Batch     65, Loss  0.635894, Average Loss  0.639620, Time  0.237644
2021-09-15 01:56:55.730096 : Epoch  1, Batch     59, Loss  1.660327, Average Loss  1.786302, Time  0.266766
2021-09-15 01:56:56.344255 : Epoch  2, Batch     66, Loss  0.644450, Average Loss  0.639628, Time  0.238114
2021-09-15 01:56:58.006843 : Epoch  2, Batch     67, Loss  0.629807, Average Loss  0.639613, Time  0.257591
2021-09-15 01:56:58.799192 : Epoch  1, Batch     60, Loss  1.659586, Average Loss  1.784190, Time  0.266013
2021-09-15 01:56:59.673804 : Epoch  2, Batch     68, Loss  0.644751, Average Loss  0.639621, Time  0.255094
2021-09-15 01:57:01.357918 : Epoch  2, Batch     69, Loss  0.642403, Average Loss  0.639603, Time  0.256443
2021-09-15 01:57:01.859022 : Epoch  1, Batch     61, Loss  1.671252, Average Loss  1.782339, Time  0.265596
2021-09-15 01:57:03.024459 : Epoch  2, Batch     70, Loss  0.643254, Average Loss  0.639612, Time  0.257402
2021-09-15 01:57:04.685426 : Epoch  2, Batch     71, Loss  0.643202, Average Loss  0.639639, Time  0.255417
2021-09-15 01:57:04.962001 : Epoch  1, Batch     62, Loss  1.657705, Average Loss  1.780329, Time  0.280276
2021-09-15 01:57:06.352948 : Epoch  2, Batch     72, Loss  0.644465, Average Loss  0.639657, Time  0.258625
2021-09-15 01:57:08.021351 : Epoch  1, Batch     63, Loss  1.665077, Average Loss  1.778499, Time  0.268102
2021-09-15 01:57:08.030698 : Epoch  2, Batch     73, Loss  0.636511, Average Loss  0.639646, Time  0.257302
2021-09-15 01:57:09.565406 : Epoch  2, Batch     74, Loss  0.642301, Average Loss  0.639671, Time  0.235605
2021-09-15 01:57:11.066998 : Epoch  2, Batch     75, Loss  0.638929, Average Loss  0.639636, Time  0.234716
2021-09-15 01:57:11.093782 : Epoch  1, Batch     64, Loss  1.648151, Average Loss  1.776463, Time  0.265225
2021-09-15 01:57:12.597357 : Epoch  2, Batch     76, Loss  0.646216, Average Loss  0.639639, Time  0.235799
2021-09-15 01:57:14.134747 : Epoch  2, Batch     77, Loss  0.640251, Average Loss  0.639644, Time  0.237839
2021-09-15 01:57:14.169915 : Epoch  1, Batch     65, Loss  1.656316, Average Loss  1.774614, Time  0.267420
2021-09-15 01:57:15.661169 : Epoch  2, Batch     78, Loss  0.648150, Average Loss  0.639702, Time  0.239415
2021-09-15 01:57:17.186500 : Epoch  2, Batch     79, Loss  0.635752, Average Loss  0.639645, Time  0.237896
2021-09-15 01:57:17.243562 : Epoch  1, Batch     66, Loss  1.663800, Average Loss  1.772935, Time  0.268508
2021-09-15 01:57:18.721502 : Epoch  2, Batch     80, Loss  0.642020, Average Loss  0.639668, Time  0.238479
2021-09-15 01:57:20.244868 : Epoch  2, Batch     81, Loss  0.635764, Average Loss  0.639630, Time  0.237724
2021-09-15 01:57:20.303325 : Epoch  1, Batch     67, Loss  1.664536, Average Loss  1.771317, Time  0.266221
2021-09-15 01:57:21.767437 : Epoch  2, Batch     82, Loss  0.637714, Average Loss  0.639599, Time  0.238070
2021-09-15 01:57:23.284429 : Epoch  2, Batch     83, Loss  0.632302, Average Loss  0.639582, Time  0.239522
2021-09-15 01:57:23.373411 : Epoch  1, Batch     68, Loss  1.664834, Average Loss  1.769751, Time  0.266103
2021-09-15 01:57:26.450783 : Epoch  1, Batch     69, Loss  1.672775, Average Loss  1.768346, Time  0.266316
2021-09-15 01:57:27.436129 : Epoch  2, Batch     84, Loss  0.639405, Average Loss  0.639558, Time  0.268837
2021-09-15 01:57:29.086852 : Epoch  2, Batch     85, Loss  0.638325, Average Loss  0.639513, Time  0.242048
2021-09-15 01:57:29.528108 : Epoch  1, Batch     70, Loss  1.649287, Average Loss  1.766645, Time  0.266862
2021-09-15 01:57:30.603855 : Epoch  2, Batch     86, Loss  0.647245, Average Loss  0.639515, Time  0.239086
2021-09-15 01:57:32.127398 : Epoch  2, Batch     87, Loss  0.639798, Average Loss  0.639502, Time  0.237023
2021-09-15 01:57:32.614510 : Epoch  1, Batch     71, Loss  1.656355, Average Loss  1.765092, Time  0.266578
2021-09-15 01:57:33.642790 : Epoch  2, Batch     88, Loss  0.641491, Average Loss  0.639536, Time  0.235219
2021-09-15 01:57:35.156884 : Epoch  2, Batch     89, Loss  0.642678, Average Loss  0.639593, Time  0.239444
2021-09-15 01:57:35.708984 : Epoch  1, Batch     72, Loss  1.661756, Average Loss  1.763656, Time  0.266757
2021-09-15 01:57:36.687474 : Epoch  2, Batch     90, Loss  0.635401, Average Loss  0.639553, Time  0.239156
2021-09-15 01:57:36.836987 : Epoch  2, Batch     91, Loss  0.756111, Average Loss  0.640145, Time  0.098235
2021-09-15 01:57:38.354412 : Epoch  2, Batch     92, Loss  0.643961, Average Loss  0.640151, Time  0.239942
2021-09-15 01:57:38.783784 : Epoch  1, Batch     73, Loss  1.651452, Average Loss  1.762119, Time  0.266041
2021-09-15 01:57:39.884393 : Epoch  2, Batch     93, Loss  0.646940, Average Loss  0.640154, Time  0.239698
2021-09-15 01:57:41.397462 : Epoch  2, Batch     94, Loss  0.658261, Average Loss  0.640199, Time  0.236487
2021-09-15 01:57:41.834998 : Epoch  1, Batch     74, Loss  1.649210, Average Loss  1.760594, Time  0.266829
2021-09-15 01:57:42.929691 : Epoch  2, Batch     95, Loss  0.653857, Average Loss  0.640248, Time  0.238308
2021-09-15 01:57:44.615585 : Epoch  2, Batch     96, Loss  0.653906, Average Loss  0.640363, Time  0.257865
2021-09-15 01:57:44.909509 : Epoch  1, Batch     75, Loss  1.660957, Average Loss  1.759265, Time  0.265862
2021-09-15 01:57:46.151116 : Epoch  2, Batch     97, Loss  0.648584, Average Loss  0.640402, Time  0.239501
2021-09-15 01:57:47.659818 : Epoch  2, Batch     98, Loss  0.646106, Average Loss  0.640421, Time  0.236436
2021-09-15 01:57:47.968533 : Epoch  1, Batch     76, Loss  1.656612, Average Loss  1.757914, Time  0.266781
2021-09-15 01:57:49.193313 : Epoch  2, Batch     99, Loss  0.639938, Average Loss  0.640402, Time  0.242323
2021-09-15 01:57:50.706401 : Epoch  2, Batch    100, Loss  0.649196, Average Loss  0.640453, Time  0.236967
2021-09-15 01:57:51.030176 : Epoch  1, Batch     77, Loss  1.655619, Average Loss  1.756586, Time  0.275619
2021-09-15 01:57:52.218054 : Epoch  2, Batch    101, Loss  0.658698, Average Loss  0.640552, Time  0.238014
2021-09-15 01:57:53.729014 : Epoch  2, Batch    102, Loss  0.642117, Average Loss  0.640576, Time  0.242017
2021-09-15 01:57:54.082994 : Epoch  1, Batch     78, Loss  1.656118, Average Loss  1.755298, Time  0.265682
2021-09-15 01:57:55.251899 : Epoch  2, Batch    103, Loss  0.639175, Average Loss  0.640589, Time  0.237050
2021-09-15 01:57:56.759811 : Epoch  2, Batch    104, Loss  0.645810, Average Loss  0.640609, Time  0.237412
2021-09-15 01:57:57.161863 : Epoch  1, Batch     79, Loss  1.642220, Average Loss  1.753866, Time  0.265709
2021-09-15 01:57:58.265929 : Epoch  2, Batch    105, Loss  0.636358, Average Loss  0.640572, Time  0.236402
2021-09-15 01:57:59.775964 : Epoch  2, Batch    106, Loss  0.645877, Average Loss  0.640648, Time  0.238328
2021-09-15 01:58:00.242144 : Epoch  1, Batch     80, Loss  1.667781, Average Loss  1.752790, Time  0.265832
2021-09-15 01:58:01.283355 : Epoch  2, Batch    107, Loss  0.636366, Average Loss  0.640670, Time  0.238507
2021-09-15 01:58:02.796063 : Epoch  2, Batch    108, Loss  0.643280, Average Loss  0.640639, Time  0.239132
2021-09-15 01:58:03.291782 : Epoch  1, Batch     81, Loss  1.646465, Average Loss  1.751478, Time  0.265963
2021-09-15 01:58:04.312343 : Epoch  2, Batch    109, Loss  0.640867, Average Loss  0.640666, Time  0.236450
2021-09-15 01:58:05.825948 : Epoch  2, Batch    110, Loss  0.648274, Average Loss  0.640720, Time  0.238450
2021-09-15 01:58:06.354357 : Epoch  1, Batch     82, Loss  1.664810, Average Loss  1.750421, Time  0.265744
2021-09-15 01:58:07.337956 : Epoch  2, Batch    111, Loss  0.648484, Average Loss  0.640769, Time  0.239068
2021-09-15 01:58:08.837387 : Epoch  2, Batch    112, Loss  0.648305, Average Loss  0.640802, Time  0.238108
2021-09-15 01:58:09.423459 : Epoch  1, Batch     83, Loss  1.643942, Average Loss  1.749138, Time  0.267317
2021-09-15 01:58:10.361817 : Epoch  2, Batch    113, Loss  0.637027, Average Loss  0.640778, Time  0.238720
2021-09-15 01:58:12.480166 : Epoch  1, Batch     84, Loss  1.652155, Average Loss  1.747983, Time  0.266800
2021-09-15 01:58:15.626560 : Epoch  1, Batch     85, Loss  1.643854, Average Loss  1.746758, Time  0.266583
2021-09-15 01:58:18.709265 : Epoch  1, Batch     86, Loss  1.633667, Average Loss  1.745443, Time  0.265704
2021-09-15 01:58:21.776998 : Epoch  1, Batch     87, Loss  1.648442, Average Loss  1.744328, Time  0.266647
2021-09-15 01:58:24.855928 : Epoch  1, Batch     88, Loss  1.638096, Average Loss  1.743121, Time  0.267217
2021-09-15 01:58:27.938767 : Epoch  1, Batch     89, Loss  1.635548, Average Loss  1.741912, Time  0.265425
2021-09-15 01:58:30.998354 : Epoch  1, Batch     90, Loss  1.635529, Average Loss  1.740730, Time  0.266046
2021-09-15 01:58:34.062820 : Epoch  1, Batch     91, Loss  1.626499, Average Loss  1.739475, Time  0.266050
2021-09-15 01:58:37.136571 : Epoch  1, Batch     92, Loss  1.625803, Average Loss  1.738240, Time  0.276037
2021-09-15 01:58:40.213152 : Epoch  1, Batch     93, Loss  1.621880, Average Loss  1.736988, Time  0.266251
2021-09-15 01:58:43.340994 : Epoch  1, Batch     94, Loss  1.598573, Average Loss  1.735516, Time  0.266531
2021-09-15 01:58:46.430518 : Epoch  1, Batch     95, Loss  1.592896, Average Loss  1.734015, Time  0.266434
2021-09-15 01:58:49.515661 : Epoch  1, Batch     96, Loss  1.604475, Average Loss  1.732665, Time  0.267408
2021-09-15 01:58:52.580110 : Epoch  1, Batch     97, Loss  1.581834, Average Loss  1.731110, Time  0.266297
2021-09-15 01:58:55.645058 : Epoch  1, Batch     98, Loss  1.586637, Average Loss  1.729636, Time  0.266521
2021-09-15 01:58:58.711075 : Epoch  1, Batch     99, Loss  1.561512, Average Loss  1.727938, Time  0.266115
2021-09-15 01:59:01.771315 : Epoch  1, Batch    100, Loss  1.548107, Average Loss  1.726140, Time  0.265856
2021-09-15 01:59:07.016035 : CheckPoint: Validation Loss  0.00027533, Best Loss  0.00026233
2021-09-15 01:59:08.553052 : Epoch  2, Batch    114, Loss  0.634804, Average Loss  0.640802, Time  0.247229
2021-09-15 01:59:10.068975 : Epoch  2, Batch    115, Loss  0.640461, Average Loss  0.640769, Time  0.237608
2021-09-15 01:59:11.579803 : Epoch  2, Batch    116, Loss  0.636182, Average Loss  0.640735, Time  0.237972
2021-09-15 01:59:13.098574 : Epoch  2, Batch    117, Loss  0.635328, Average Loss  0.640723, Time  0.238418
2021-09-15 01:59:14.627035 : Epoch  2, Batch    118, Loss  0.644364, Average Loss  0.640761, Time  0.240052
2021-09-15 01:59:16.137371 : Epoch  2, Batch    119, Loss  0.647507, Average Loss  0.640819, Time  0.238239
2021-09-15 01:59:17.645806 : Epoch  2, Batch    120, Loss  0.635248, Average Loss  0.640771, Time  0.237835
2021-09-15 01:59:19.173427 : Epoch  2, Batch    121, Loss  0.639648, Average Loss  0.640715, Time  0.239038
2021-09-15 01:59:20.701478 : Epoch  2, Batch    122, Loss  0.642943, Average Loss  0.640723, Time  0.239303
2021-09-15 01:59:22.214375 : Epoch  2, Batch    123, Loss  0.643403, Average Loss  0.640714, Time  0.237870
2021-09-15 01:59:23.721877 : Epoch  2, Batch    124, Loss  0.636276, Average Loss  0.640726, Time  0.238251
2021-09-15 01:59:25.246408 : Epoch  2, Batch    125, Loss  0.640672, Average Loss  0.640744, Time  0.240976
2021-09-15 01:59:26.769901 : Epoch  2, Batch    126, Loss  0.644872, Average Loss  0.640770, Time  0.240095
2021-09-15 01:59:28.278202 : Epoch  2, Batch    127, Loss  0.641959, Average Loss  0.640732, Time  0.236721
2021-09-15 01:59:29.789088 : Epoch  2, Batch    128, Loss  0.633529, Average Loss  0.640732, Time  0.235517
2021-09-15 01:59:31.315409 : Epoch  2, Batch    129, Loss  0.637226, Average Loss  0.640705, Time  0.239663
2021-09-15 01:59:32.839267 : Epoch  2, Batch    130, Loss  0.644480, Average Loss  0.640729, Time  0.237959
2021-09-15 01:59:34.353986 : Epoch  2, Batch    131, Loss  0.640839, Average Loss  0.640740, Time  0.237474
2021-09-15 01:59:35.862909 : Epoch  2, Batch    132, Loss  0.648964, Average Loss  0.640813, Time  0.236085
2021-09-15 01:59:37.404459 : Epoch  2, Batch    133, Loss  0.628420, Average Loss  0.640774, Time  0.238799
2021-09-15 01:59:38.922856 : Epoch  2, Batch    134, Loss  0.644938, Average Loss  0.640811, Time  0.238526
2021-09-15 01:59:40.436365 : Epoch  2, Batch    135, Loss  0.641934, Average Loss  0.640839, Time  0.239700
2021-09-15 01:59:41.965859 : Epoch  2, Batch    136, Loss  0.635751, Average Loss  0.640783, Time  0.240028
2021-09-15 01:59:43.497402 : Epoch  2, Batch    137, Loss  0.638572, Average Loss  0.640831, Time  0.239541
2021-09-15 01:59:45.020878 : Epoch  2, Batch    138, Loss  0.631654, Average Loss  0.640838, Time  0.240908
2021-09-15 01:59:46.537082 : Epoch  2, Batch    139, Loss  0.641152, Average Loss  0.640865, Time  0.245191
2021-09-15 01:59:48.044870 : Epoch  2, Batch    140, Loss  0.634272, Average Loss  0.640849, Time  0.237187
2021-09-15 01:59:49.561414 : Epoch  2, Batch    141, Loss  0.639109, Average Loss  0.640826, Time  0.240369
2021-09-15 01:59:51.080865 : Epoch  2, Batch    142, Loss  0.646014, Average Loss  0.640824, Time  0.238438
2021-09-15 01:59:52.597823 : Epoch  2, Batch    143, Loss  0.642679, Average Loss  0.640849, Time  0.238097
2021-09-15 01:59:54.108919 : Epoch  2, Batch    144, Loss  0.637829, Average Loss  0.640838, Time  0.238377
2021-09-15 01:59:55.631081 : Epoch  2, Batch    145, Loss  0.644789, Average Loss  0.640871, Time  0.240077
2021-09-15 01:59:57.161127 : Epoch  2, Batch    146, Loss  0.650581, Average Loss  0.640896, Time  0.239932
2021-09-15 01:59:58.670828 : Epoch  2, Batch    147, Loss  0.646165, Average Loss  0.640901, Time  0.237199
2021-09-15 02:00:00.192934 : Epoch  2, Batch    148, Loss  0.635433, Average Loss  0.640928, Time  0.238083
2021-09-15 02:00:01.815016 : Epoch  2, Batch    149, Loss  0.644979, Average Loss  0.640945, Time  0.257433
2021-09-15 02:00:03.481982 : Epoch  2, Batch    150, Loss  0.641980, Average Loss  0.640959, Time  0.255888
2021-09-15 02:00:05.161147 : Epoch  2, Batch    151, Loss  0.637190, Average Loss  0.640972, Time  0.258946
2021-09-15 02:00:06.825438 : Epoch  2, Batch    152, Loss  0.640252, Average Loss  0.640999, Time  0.255276
2021-09-15 02:00:08.337421 : Epoch  2, Batch    153, Loss  0.650430, Average Loss  0.641024, Time  0.236408
2021-09-15 02:00:09.843017 : Epoch  2, Batch    154, Loss  0.636644, Average Loss  0.640968, Time  0.237174
2021-09-15 02:00:11.530485 : Epoch  2, Batch    155, Loss  0.640020, Average Loss  0.640992, Time  0.260130
2021-09-15 02:00:13.209387 : Epoch  2, Batch    156, Loss  0.640967, Average Loss  0.641010, Time  0.257409
2021-09-15 02:00:14.890508 : Epoch  2, Batch    157, Loss  0.636656, Average Loss  0.640972, Time  0.259593
2021-09-15 02:00:16.558481 : Epoch  2, Batch    158, Loss  0.641492, Average Loss  0.640972, Time  0.255533
2021-09-15 02:00:18.095859 : Epoch  2, Batch    159, Loss  0.631343, Average Loss  0.640964, Time  0.238797
2021-09-15 02:00:19.614794 : Epoch  2, Batch    160, Loss  0.648278, Average Loss  0.641040, Time  0.242127
2021-09-15 02:00:21.138932 : Epoch  2, Batch    161, Loss  0.638536, Average Loss  0.641058, Time  0.239316
2021-09-15 02:00:22.656449 : Epoch  2, Batch    162, Loss  0.639315, Average Loss  0.641064, Time  0.239430
2021-09-15 02:00:24.166808 : Epoch  2, Batch    163, Loss  0.638838, Average Loss  0.641074, Time  0.239818
2021-09-15 02:00:25.690957 : Epoch  2, Batch    164, Loss  0.646428, Average Loss  0.641075, Time  0.237524
2021-09-15 02:00:27.206445 : Epoch  2, Batch    165, Loss  0.643785, Average Loss  0.641073, Time  0.238389
2021-09-15 02:00:28.718085 : Epoch  2, Batch    166, Loss  0.641106, Average Loss  0.641054, Time  0.237947
2021-09-15 02:00:30.227447 : Epoch  2, Batch    167, Loss  0.638739, Average Loss  0.641102, Time  0.238735
2021-09-15 02:00:31.737957 : Epoch  2, Batch    168, Loss  0.646338, Average Loss  0.641132, Time  0.237972
2021-09-15 02:00:33.256440 : Epoch  2, Batch    169, Loss  0.637846, Average Loss  0.641136, Time  0.238822
2021-09-15 02:00:34.775213 : Epoch  2, Batch    170, Loss  0.646666, Average Loss  0.641172, Time  0.238909
2021-09-15 02:00:36.313870 : Epoch  2, Batch    171, Loss  0.633175, Average Loss  0.641106, Time  0.255076
2021-09-15 02:00:37.980034 : Epoch  2, Batch    172, Loss  0.636390, Average Loss  0.641061, Time  0.258704
2021-09-15 02:00:39.647194 : Epoch  2, Batch    173, Loss  0.638509, Average Loss  0.641084, Time  0.259172
2021-09-15 02:00:41.304026 : Epoch  2, Batch    174, Loss  0.636941, Average Loss  0.641033, Time  0.237294
2021-09-15 02:00:42.989124 : Epoch  2, Batch    175, Loss  0.638958, Average Loss  0.641030, Time  0.257437
2021-09-15 02:00:44.677490 : Epoch  2, Batch    176, Loss  0.633884, Average Loss  0.640920, Time  0.258022
2021-09-15 02:00:46.212424 : Epoch  2, Batch    177, Loss  0.637721, Average Loss  0.640911, Time  0.239937
2021-09-15 02:00:47.734904 : Epoch  2, Batch    178, Loss  0.630432, Average Loss  0.640852, Time  0.240640
2021-09-15 02:00:49.258968 : Epoch  2, Batch    179, Loss  0.634163, Average Loss  0.640839, Time  0.238986
2021-09-15 02:00:50.780382 : Epoch  2, Batch    180, Loss  0.641034, Average Loss  0.640866, Time  0.241531
2021-09-15 02:00:52.333028 : Epoch  2, Batch    181, Loss  0.643797, Average Loss  0.640858, Time  0.238888
2021-09-15 02:00:53.885888 : Epoch  2, Batch    182, Loss  0.639764, Average Loss  0.640912, Time  0.238988
2021-09-15 02:00:55.400228 : Epoch  2, Batch    183, Loss  0.637639, Average Loss  0.640912, Time  0.238014
2021-09-15 02:00:59.326217 : Epoch  2, Batch    184, Loss  0.640672, Average Loss  0.640951, Time  0.244921
2021-09-15 02:01:00.841886 : Epoch  2, Batch    185, Loss  0.645442, Average Loss  0.640967, Time  0.236384
2021-09-15 02:01:02.341957 : Epoch  2, Batch    186, Loss  0.644224, Average Loss  0.641011, Time  0.238741
2021-09-15 02:01:03.860964 : Epoch  2, Batch    187, Loss  0.643834, Average Loss  0.641035, Time  0.239742
2021-09-15 02:01:05.385491 : Epoch  2, Batch    188, Loss  0.644569, Average Loss  0.641048, Time  0.237077
2021-09-15 02:01:06.890415 : Epoch  2, Batch    189, Loss  0.636507, Average Loss  0.641035, Time  0.237748
2021-09-15 02:01:08.400405 : Epoch  2, Batch    190, Loss  0.638347, Average Loss  0.641081, Time  0.237417
2021-09-15 02:01:09.918425 : Epoch  2, Batch    191, Loss  0.640626, Average Loss  0.641089, Time  0.239731
2021-09-15 02:01:11.440874 : Epoch  2, Batch    192, Loss  0.638365, Average Loss  0.641112, Time  0.237876
2021-09-15 02:01:12.954781 : Epoch  2, Batch    193, Loss  0.649776, Average Loss  0.641185, Time  0.239329
2021-09-15 02:01:14.454802 : Epoch  2, Batch    194, Loss  0.644915, Average Loss  0.641241, Time  0.236159
2021-09-15 02:01:15.961822 : Epoch  2, Batch    195, Loss  0.637879, Average Loss  0.641214, Time  0.239336
2021-09-15 02:02:18.080784 : Building dataset train from orignial text documents
2021-09-15 02:02:43.098170 : Finish Loading dataset train
2021-09-15 02:02:43.131156 : Data Shuffle
2021-09-15 02:02:43.173053 : Start Shuffling
2021-09-15 02:02:44.157965 : Finish Shuffling
2021-09-15 02:02:44.243920 : Generate Batch
2021-09-15 02:02:44.565593 : Building dataset valid from orignial text documents
2021-09-15 02:02:45.656480 : Finish Loading dataset valid
2021-09-15 02:02:45.693285 : Data Shuffle
2021-09-15 02:02:45.734557 : Start Shuffling
2021-09-15 02:02:45.819584 : Finish Shuffling
2021-09-15 02:02:45.861566 : Generate Batch
2021-09-15 02:02:45.919083 : There are 787 batches per epoch
2021-09-15 02:02:45.959807 : Batch Shuffled
2021-09-15 02:03:48.327731 : CheckPoint: Validation Loss  0.00053264, Best Loss  0.00053264
2021-09-15 02:03:48.360868 : Best Model Updated
2021-09-15 02:03:52.152311 : Epoch  1, Batch    101, Loss  1.547670, Average Loss  1.724373, Time  0.268072
2021-09-15 02:03:55.216673 : Epoch  1, Batch    102, Loss  1.545354, Average Loss  1.722617, Time  0.272383
2021-09-15 02:03:58.337527 : Epoch  1, Batch    103, Loss  1.527409, Average Loss  1.720722, Time  0.266543
2021-09-15 02:04:01.469814 : Epoch  1, Batch    104, Loss  1.526858, Average Loss  1.718858, Time  0.267265
2021-09-15 02:04:04.590798 : Epoch  1, Batch    105, Loss  1.514835, Average Loss  1.716915, Time  0.267096
2021-09-15 02:04:07.640476 : Epoch  1, Batch    106, Loss  1.506375, Average Loss  1.714929, Time  0.266431
2021-09-15 02:04:10.704521 : Epoch  1, Batch    107, Loss  1.500891, Average Loss  1.712928, Time  0.266084
2021-09-15 02:04:13.756521 : Epoch  1, Batch    108, Loss  1.493660, Average Loss  1.710898, Time  0.266137
2021-09-15 02:04:16.807054 : Epoch  1, Batch    109, Loss  1.489971, Average Loss  1.708871, Time  0.265612
2021-09-15 02:04:19.880014 : Epoch  1, Batch    110, Loss  1.471790, Average Loss  1.706716, Time  0.266517
2021-09-15 02:04:22.945729 : Epoch  1, Batch    111, Loss  1.460399, Average Loss  1.704497, Time  0.266307
2021-09-15 02:04:26.004662 : Epoch  1, Batch    112, Loss  1.445610, Average Loss  1.702186, Time  0.266477
2021-09-15 02:04:29.079999 : Epoch  1, Batch    113, Loss  1.448736, Average Loss  1.699943, Time  0.265948
2021-09-15 02:04:32.152490 : Epoch  1, Batch    114, Loss  1.437052, Average Loss  1.697637, Time  0.266854
2021-09-15 02:04:35.204553 : Epoch  1, Batch    115, Loss  1.411818, Average Loss  1.695151, Time  0.266568
2021-09-15 02:04:38.252791 : Epoch  1, Batch    116, Loss  1.410431, Average Loss  1.692697, Time  0.267704
2021-09-15 02:04:41.365992 : Epoch  1, Batch    117, Loss  1.410135, Average Loss  1.690282, Time  0.279815
2021-09-15 02:04:44.487366 : Epoch  1, Batch    118, Loss  1.424227, Average Loss  1.688027, Time  0.267912
2021-09-15 02:04:47.604297 : Epoch  1, Batch    119, Loss  1.398239, Average Loss  1.685592, Time  0.266630
2021-09-15 02:04:50.674835 : Epoch  1, Batch    120, Loss  1.373014, Average Loss  1.682987, Time  0.266071
2021-09-15 02:04:53.727721 : Epoch  1, Batch    121, Loss  1.381881, Average Loss  1.680498, Time  0.268511
2021-09-15 02:04:56.788570 : Epoch  1, Batch    122, Loss  1.385906, Average Loss  1.678084, Time  0.266927
2021-09-15 02:04:59.867389 : Epoch  1, Batch    123, Loss  1.383729, Average Loss  1.675691, Time  0.267270
2021-09-15 02:05:02.934965 : Epoch  1, Batch    124, Loss  1.369353, Average Loss  1.673220, Time  0.266273
2021-09-15 02:05:06.016576 : Epoch  1, Batch    125, Loss  1.369362, Average Loss  1.670789, Time  0.267003
2021-09-15 02:05:09.078490 : Epoch  1, Batch    126, Loss  1.361261, Average Loss  1.668333, Time  0.267019
2021-09-15 02:05:12.178074 : Epoch  1, Batch    127, Loss  1.386600, Average Loss  1.666114, Time  0.266141
2021-09-15 02:05:15.245318 : Epoch  1, Batch    128, Loss  1.363197, Average Loss  1.663748, Time  0.266284
2021-09-15 02:05:18.288735 : Epoch  1, Batch    129, Loss  1.374990, Average Loss  1.661509, Time  0.265942
2021-09-15 02:05:21.351605 : Epoch  1, Batch    130, Loss  1.350400, Average Loss  1.659116, Time  0.266420
2021-09-15 02:05:24.415990 : Epoch  1, Batch    131, Loss  1.342575, Average Loss  1.656700, Time  0.267206
2021-09-15 02:05:27.547534 : Epoch  1, Batch    132, Loss  1.350522, Average Loss  1.654380, Time  0.277315
2021-09-15 02:05:30.619910 : Epoch  1, Batch    133, Loss  1.344042, Average Loss  1.652047, Time  0.268090
2021-09-15 02:05:33.688224 : Epoch  1, Batch    134, Loss  1.361661, Average Loss  1.649880, Time  0.266419
2021-09-15 02:05:36.747388 : Epoch  1, Batch    135, Loss  1.346403, Average Loss  1.647632, Time  0.266535
2021-09-15 02:05:39.848639 : Epoch  1, Batch    136, Loss  1.339173, Average Loss  1.645364, Time  0.266242
2021-09-15 02:05:42.924171 : Epoch  1, Batch    137, Loss  1.332425, Average Loss  1.643080, Time  0.267611
2021-09-15 02:05:46.003597 : Epoch  1, Batch    138, Loss  1.338509, Average Loss  1.640873, Time  0.266117
2021-09-15 02:05:49.046622 : Epoch  1, Batch    139, Loss  1.322942, Average Loss  1.638585, Time  0.267079
2021-09-15 02:05:52.119889 : Epoch  1, Batch    140, Loss  1.324821, Average Loss  1.636344, Time  0.266204
2021-09-15 02:05:55.195418 : Epoch  1, Batch    141, Loss  1.306633, Average Loss  1.634006, Time  0.268144
2021-09-15 02:05:58.245479 : Epoch  1, Batch    142, Loss  1.291161, Average Loss  1.631591, Time  0.265863
2021-09-15 02:05:59.328073 : Building dataset train from orignial text documents
2021-09-15 02:06:01.304587 : Epoch  1, Batch    143, Loss  1.311902, Average Loss  1.629356, Time  0.268076
2021-09-15 02:06:04.368046 : Epoch  1, Batch    144, Loss  1.314698, Average Loss  1.627171, Time  0.267595
2021-09-15 02:06:07.442234 : Epoch  1, Batch    145, Loss  1.290411, Average Loss  1.624848, Time  0.265739
2021-09-15 02:06:10.561591 : Epoch  1, Batch    146, Loss  1.311351, Average Loss  1.622701, Time  0.266930
2021-09-15 02:06:13.698981 : Epoch  1, Batch    147, Loss  1.285471, Average Loss  1.620407, Time  0.275970
2021-09-15 02:06:16.746340 : Epoch  1, Batch    148, Loss  1.277469, Average Loss  1.618090, Time  0.266487
2021-09-15 02:06:19.805096 : Epoch  1, Batch    149, Loss  1.256196, Average Loss  1.615661, Time  0.266690
2021-09-15 02:06:22.859403 : Epoch  1, Batch    150, Loss  1.252580, Average Loss  1.613240, Time  0.266750
2021-09-15 02:06:24.160987 : Finish Loading dataset train
2021-09-15 02:06:24.199365 : Data Shuffle
2021-09-15 02:06:24.221228 : Start Shuffling
2021-09-15 02:06:25.159688 : Finish Shuffling
2021-09-15 02:06:25.242615 : Generate Batch
2021-09-15 02:06:25.550589 : Building dataset valid from orignial text documents
2021-09-15 02:06:25.938661 : Epoch  1, Batch    151, Loss  1.248620, Average Loss  1.610826, Time  0.266462
2021-09-15 02:06:26.625695 : Finish Loading dataset valid
2021-09-15 02:06:26.666593 : Data Shuffle
2021-09-15 02:06:26.691555 : Start Shuffling
2021-09-15 02:06:26.767591 : Finish Shuffling
2021-09-15 02:06:26.789020 : Generate Batch
2021-09-15 02:06:26.828229 : There are 787 batches per epoch
2021-09-15 02:06:26.848573 : Batch Shuffled
2021-09-15 02:06:28.622607 : Epoch  1, Batch      1, Loss  1.180725, Average Loss  1.180725, Time  0.473857
2021-09-15 02:06:28.981265 : Epoch  1, Batch    152, Loss  1.237122, Average Loss  1.608367, Time  0.266633
2021-09-15 02:06:30.157737 : Epoch  1, Batch      2, Loss  1.181096, Average Loss  1.180910, Time  0.238575
2021-09-15 02:06:31.687184 : Epoch  1, Batch      3, Loss  1.181146, Average Loss  1.180989, Time  0.229631
2021-09-15 02:06:32.035961 : Epoch  1, Batch    153, Loss  1.241437, Average Loss  1.605969, Time  0.266191
2021-09-15 02:06:33.223852 : Epoch  1, Batch      4, Loss  1.174525, Average Loss  1.179373, Time  0.233443
2021-09-15 02:06:34.760270 : Epoch  1, Batch      5, Loss  1.177515, Average Loss  1.179001, Time  0.230017
2021-09-15 02:06:35.066970 : Epoch  1, Batch    154, Loss  1.230364, Average Loss  1.603530, Time  0.266165
2021-09-15 02:06:36.291125 : Epoch  1, Batch      6, Loss  1.172724, Average Loss  1.177955, Time  0.230012
2021-09-15 02:06:37.824782 : Epoch  1, Batch      7, Loss  1.160966, Average Loss  1.175528, Time  0.229399
2021-09-15 02:06:38.096197 : Epoch  1, Batch    155, Loss  1.240467, Average Loss  1.601188, Time  0.265809
2021-09-15 02:06:39.358000 : Epoch  1, Batch      8, Loss  1.159056, Average Loss  1.173469, Time  0.230393
2021-09-15 02:06:40.891268 : Epoch  1, Batch      9, Loss  1.150597, Average Loss  1.170928, Time  0.230662
2021-09-15 02:06:41.154746 : Epoch  1, Batch    156, Loss  1.227470, Average Loss  1.598792, Time  0.265934
2021-09-15 02:06:42.422009 : Epoch  1, Batch     10, Loss  1.139124, Average Loss  1.167747, Time  0.230302
2021-09-15 02:06:43.957481 : Epoch  1, Batch     11, Loss  1.136920, Average Loss  1.164945, Time  0.230039
2021-09-15 02:06:44.215979 : Epoch  1, Batch    157, Loss  1.204160, Average Loss  1.596278, Time  0.264992
2021-09-15 02:06:45.488282 : Epoch  1, Batch     12, Loss  1.127072, Average Loss  1.161789, Time  0.232096
2021-09-15 02:06:47.029878 : Epoch  1, Batch     13, Loss  1.116728, Average Loss  1.158323, Time  0.231534
2021-09-15 02:06:47.251123 : Epoch  1, Batch    158, Loss  1.227839, Average Loss  1.593946, Time  0.266983
2021-09-15 02:06:48.558648 : Epoch  1, Batch     14, Loss  1.109707, Average Loss  1.154850, Time  0.231735
2021-09-15 02:06:50.096654 : Epoch  1, Batch     15, Loss  1.100664, Average Loss  1.151238, Time  0.230655
2021-09-15 02:06:50.340754 : Epoch  1, Batch    159, Loss  1.215037, Average Loss  1.591563, Time  0.267299
2021-09-15 02:06:51.638100 : Epoch  1, Batch     16, Loss  1.092442, Average Loss  1.147563, Time  0.231211
2021-09-15 02:06:53.180588 : Epoch  1, Batch     17, Loss  1.078302, Average Loss  1.143489, Time  0.230387
2021-09-15 02:06:53.422555 : Epoch  1, Batch    160, Loss  1.195585, Average Loss  1.589088, Time  0.265929
2021-09-15 02:06:54.715628 : Epoch  1, Batch     18, Loss  1.074672, Average Loss  1.139666, Time  0.231093
2021-09-15 02:06:56.245512 : Epoch  1, Batch     19, Loss  1.060978, Average Loss  1.135524, Time  0.230472
2021-09-15 02:06:56.531565 : Epoch  1, Batch    161, Loss  1.188095, Average Loss  1.586598, Time  0.267659
2021-09-15 02:06:57.804931 : Epoch  1, Batch     20, Loss  1.058890, Average Loss  1.131692, Time  0.231131
2021-09-15 02:06:59.341733 : Epoch  1, Batch     21, Loss  1.049873, Average Loss  1.127796, Time  0.231315
2021-09-15 02:06:59.635969 : Epoch  1, Batch    162, Loss  1.203782, Average Loss  1.584235, Time  0.277257
2021-09-15 02:07:00.882152 : Epoch  1, Batch     22, Loss  1.042029, Average Loss  1.123898, Time  0.230781
2021-09-15 02:07:02.430008 : Epoch  1, Batch     23, Loss  1.036298, Average Loss  1.120089, Time  0.231120
2021-09-15 02:07:02.667628 : Epoch  1, Batch    163, Loss  1.201043, Average Loss  1.581884, Time  0.266914
2021-09-15 02:07:03.974306 : Epoch  1, Batch     24, Loss  1.030234, Average Loss  1.116345, Time  0.231463
2021-09-15 02:07:05.508885 : Epoch  1, Batch     25, Loss  1.023837, Average Loss  1.112645, Time  0.231273
2021-09-15 02:07:05.774057 : Epoch  1, Batch    164, Loss  1.206484, Average Loss  1.579595, Time  0.276326
2021-09-15 02:07:07.051878 : Epoch  1, Batch     26, Loss  1.016926, Average Loss  1.108963, Time  0.230529
2021-09-15 02:07:08.593197 : Epoch  1, Batch     27, Loss  1.010442, Average Loss  1.105314, Time  0.230469
2021-09-15 02:07:08.824805 : Epoch  1, Batch    165, Loss  1.171237, Average Loss  1.577120, Time  0.268820
2021-09-15 02:07:10.131505 : Epoch  1, Batch     28, Loss  1.007055, Average Loss  1.101805, Time  0.230187
2021-09-15 02:07:11.684810 : Epoch  1, Batch     29, Loss  1.005494, Average Loss  1.098484, Time  0.230360
2021-09-15 02:07:11.953450 : Epoch  1, Batch    166, Loss  1.188893, Average Loss  1.574781, Time  0.268711
2021-09-15 02:07:13.224090 : Epoch  1, Batch     30, Loss  1.002641, Average Loss  1.095289, Time  0.230299
2021-09-15 02:07:14.769016 : Epoch  1, Batch     31, Loss  0.995122, Average Loss  1.092058, Time  0.231253
2021-09-15 02:07:15.006638 : Epoch  1, Batch    167, Loss  1.176020, Average Loss  1.572393, Time  0.267064
2021-09-15 02:07:16.314401 : Epoch  1, Batch     32, Loss  0.991562, Average Loss  1.088918, Time  0.231487
2021-09-15 02:07:17.851322 : Epoch  1, Batch     33, Loss  0.993924, Average Loss  1.086039, Time  0.230599
2021-09-15 02:07:18.054346 : Epoch  1, Batch    168, Loss  1.173537, Average Loss  1.570019, Time  0.266757
2021-09-15 02:07:19.393188 : Epoch  1, Batch     34, Loss  0.988497, Average Loss  1.083170, Time  0.229779
2021-09-15 02:07:20.935158 : Epoch  1, Batch     35, Loss  0.986529, Average Loss  1.080409, Time  0.229589
2021-09-15 02:07:21.119310 : Epoch  1, Batch    169, Loss  1.156301, Average Loss  1.567571, Time  0.268248
2021-09-15 02:07:22.470504 : Epoch  1, Batch     36, Loss  0.984179, Average Loss  1.077736, Time  0.230322
2021-09-15 02:07:24.018910 : Epoch  1, Batch     37, Loss  0.975622, Average Loss  1.074976, Time  0.230865
2021-09-15 02:07:24.177822 : Epoch  1, Batch    170, Loss  1.169288, Average Loss  1.565228, Time  0.268950
2021-09-15 02:07:25.563792 : Epoch  1, Batch     38, Loss  0.971544, Average Loss  1.072254, Time  0.231369
2021-09-15 02:07:27.103022 : Epoch  1, Batch     39, Loss  0.974732, Average Loss  1.069754, Time  0.231524
2021-09-15 02:07:27.240140 : Epoch  1, Batch    171, Loss  1.179732, Average Loss  1.562974, Time  0.266802
2021-09-15 02:07:28.646442 : Epoch  1, Batch     40, Loss  0.976987, Average Loss  1.067434, Time  0.231467
2021-09-15 02:07:30.185700 : Epoch  1, Batch     41, Loss  0.970842, Average Loss  1.065078, Time  0.232862
2021-09-15 02:07:30.283043 : Epoch  1, Batch    172, Loss  1.166876, Average Loss  1.560671, Time  0.266642
2021-09-15 02:07:31.724345 : Epoch  1, Batch     42, Loss  0.973172, Average Loss  1.062890, Time  0.231019
2021-09-15 02:07:33.262827 : Epoch  1, Batch     43, Loss  0.967220, Average Loss  1.060665, Time  0.231031
2021-09-15 02:07:33.336428 : Epoch  1, Batch    173, Loss  1.158383, Average Loss  1.558346, Time  0.265868
2021-09-15 02:07:34.822945 : Epoch  1, Batch     44, Loss  0.965024, Average Loss  1.058492, Time  0.231544
2021-09-15 02:07:36.355914 : Epoch  1, Batch     45, Loss  0.962775, Average Loss  1.056365, Time  0.230806
2021-09-15 02:07:37.912555 : Epoch  1, Batch     46, Loss  0.964595, Average Loss  1.054370, Time  0.230512
2021-09-15 02:07:39.452661 : Epoch  1, Batch     47, Loss  0.958450, Average Loss  1.052329, Time  0.230737
2021-09-15 02:07:40.989790 : Epoch  1, Batch     48, Loss  0.956928, Average Loss  1.050341, Time  0.231021
2021-09-15 02:07:42.532990 : Epoch  1, Batch     49, Loss  0.956279, Average Loss  1.048422, Time  0.232171
2021-09-15 02:07:44.085358 : Epoch  1, Batch     50, Loss  0.957142, Average Loss  1.046596, Time  0.231274
2021-09-15 02:07:45.628850 : Epoch  1, Batch     51, Loss  0.962688, Average Loss  1.044951, Time  0.231277
2021-09-15 02:07:47.168836 : Epoch  1, Batch     52, Loss  0.955425, Average Loss  1.043229, Time  0.232532
2021-09-15 02:07:48.719963 : Epoch  1, Batch     53, Loss  0.956098, Average Loss  1.041585, Time  0.231721
2021-09-15 02:07:50.257046 : Epoch  1, Batch     54, Loss  0.953264, Average Loss  1.039950, Time  0.232259
2021-09-15 02:07:51.813148 : Epoch  1, Batch     55, Loss  0.951949, Average Loss  1.038350, Time  0.231702
2021-09-15 02:07:53.366762 : Epoch  1, Batch     56, Loss  0.954426, Average Loss  1.036851, Time  0.231670
2021-09-15 02:07:54.906939 : Epoch  1, Batch     57, Loss  0.951864, Average Loss  1.035360, Time  0.231139
2021-09-15 02:07:55.168811 : Building dataset train from orignial text documents
2021-09-15 02:07:56.434268 : Epoch  1, Batch     58, Loss  0.952748, Average Loss  1.033936, Time  0.230558
2021-09-15 02:07:57.978734 : Epoch  1, Batch     59, Loss  0.946968, Average Loss  1.032462, Time  0.231803
2021-09-15 02:07:58.123414 : Epoch  1, Batch     60, Loss  0.942138, Average Loss  1.030956, Time  0.106576
2021-09-15 02:07:59.666989 : Epoch  1, Batch     61, Loss  0.949306, Average Loss  1.029618, Time  0.232709
2021-09-15 02:08:01.209288 : Epoch  1, Batch     62, Loss  0.951479, Average Loss  1.028357, Time  0.231702
2021-09-15 02:08:02.749154 : Epoch  1, Batch     63, Loss  0.947350, Average Loss  1.027072, Time  0.230170
2021-09-15 02:08:04.294826 : Epoch  1, Batch     64, Loss  0.952731, Average Loss  1.025910, Time  0.232805
2021-09-15 02:08:05.843001 : Epoch  1, Batch     65, Loss  0.942112, Average Loss  1.024621, Time  0.231339
2021-09-15 02:08:07.387892 : Epoch  1, Batch     66, Loss  0.952971, Average Loss  1.023535, Time  0.231239
2021-09-15 02:08:08.931431 : Epoch  1, Batch     67, Loss  0.945272, Average Loss  1.022367, Time  0.231222
2021-09-15 02:08:10.484170 : Epoch  1, Batch     68, Loss  0.941046, Average Loss  1.021171, Time  0.230518
2021-09-15 02:08:12.025567 : Epoch  1, Batch     69, Loss  0.938255, Average Loss  1.019969, Time  0.231139
2021-09-15 02:08:13.567796 : Epoch  1, Batch     70, Loss  0.935502, Average Loss  1.018763, Time  0.231500
2021-09-15 02:08:15.106830 : Epoch  1, Batch     71, Loss  0.934619, Average Loss  1.017578, Time  0.232335
2021-09-15 02:08:16.659991 : Epoch  1, Batch     72, Loss  0.932978, Average Loss  1.016403, Time  0.231688
2021-09-15 02:08:18.209021 : Epoch  1, Batch     73, Loss  0.929205, Average Loss  1.015208, Time  0.231482
2021-09-15 02:08:19.752805 : Epoch  1, Batch     74, Loss  0.930050, Average Loss  1.014057, Time  0.231222
2021-09-15 02:08:21.297205 : Epoch  1, Batch     75, Loss  0.923900, Average Loss  1.012855, Time  0.231710
2021-09-15 02:08:22.846040 : Epoch  1, Batch     76, Loss  0.913262, Average Loss  1.011545, Time  0.231262
2021-09-15 02:08:24.394003 : Epoch  1, Batch     77, Loss  0.901219, Average Loss  1.010112, Time  0.231465
2021-09-15 02:08:25.953303 : Epoch  1, Batch     78, Loss  0.901357, Average Loss  1.008718, Time  0.231188
2021-09-15 02:08:27.502443 : Epoch  1, Batch     79, Loss  0.892549, Average Loss  1.007247, Time  0.231659
2021-09-15 02:08:29.055046 : Epoch  1, Batch     80, Loss  0.877268, Average Loss  1.005622, Time  0.231531
2021-09-15 02:08:30.605041 : Epoch  1, Batch     81, Loss  0.861068, Average Loss  1.003838, Time  0.231159
2021-09-15 02:08:32.153860 : Epoch  1, Batch     82, Loss  0.844821, Average Loss  1.001899, Time  0.234056
2021-09-15 02:08:33.700377 : Epoch  1, Batch     83, Loss  0.828796, Average Loss  0.999813, Time  0.232947
2021-09-15 02:08:35.236640 : Epoch  1, Batch     84, Loss  0.824746, Average Loss  0.997729, Time  0.232204
2021-09-15 02:08:36.791736 : Epoch  1, Batch     85, Loss  0.831182, Average Loss  0.995770, Time  0.234006
2021-09-15 02:08:38.336313 : Epoch  1, Batch     86, Loss  0.825428, Average Loss  0.993789, Time  0.231986
2021-09-15 02:08:39.885844 : Epoch  1, Batch     87, Loss  0.841833, Average Loss  0.992042, Time  0.232378
2021-09-15 02:08:41.431355 : Epoch  1, Batch     88, Loss  0.833896, Average Loss  0.990245, Time  0.232136
2021-09-15 02:08:42.976822 : Epoch  1, Batch     89, Loss  0.833646, Average Loss  0.988486, Time  0.231350
2021-09-15 02:08:44.529220 : Epoch  1, Batch     90, Loss  0.825585, Average Loss  0.986676, Time  0.231238
2021-09-15 02:08:46.072997 : Epoch  1, Batch     91, Loss  0.814046, Average Loss  0.984779, Time  0.231673
2021-09-15 02:08:47.617280 : Epoch  1, Batch     92, Loss  0.820559, Average Loss  0.982994, Time  0.231291
2021-09-15 02:08:49.174799 : Epoch  1, Batch     93, Loss  0.812445, Average Loss  0.981160, Time  0.233138
2021-09-15 02:08:50.724084 : Epoch  1, Batch     94, Loss  0.812838, Average Loss  0.979369, Time  0.231124
2021-09-15 02:08:52.263210 : Epoch  1, Batch     95, Loss  0.810647, Average Loss  0.977593, Time  0.231211
2021-09-15 02:08:53.807373 : Epoch  1, Batch     96, Loss  0.801571, Average Loss  0.975759, Time  0.232370
2021-09-15 02:08:55.342815 : Epoch  1, Batch     97, Loss  0.816795, Average Loss  0.974121, Time  0.232487
2021-09-15 02:08:56.895334 : Epoch  1, Batch     98, Loss  0.806554, Average Loss  0.972411, Time  0.231350
2021-09-15 02:08:58.436958 : Epoch  1, Batch     99, Loss  0.804340, Average Loss  0.970713, Time  0.231134
2021-09-15 02:08:59.962824 : Epoch  1, Batch    100, Loss  0.801146, Average Loss  0.969017, Time  0.230233
2021-09-15 02:09:57.864029 : CheckPoint: Validation Loss  0.00032825, Best Loss  0.00032825
2021-09-15 02:09:57.898041 : Best Model Updated
2021-09-15 02:10:00.322050 : Epoch  1, Batch    101, Loss  0.796472, Average Loss  0.967309, Time  0.267147
2021-09-15 02:10:01.882909 : Epoch  1, Batch    102, Loss  0.794362, Average Loss  0.965613, Time  0.244588
2021-09-15 02:10:03.418079 : Epoch  1, Batch    103, Loss  0.790673, Average Loss  0.963915, Time  0.231812
2021-09-15 02:10:04.955383 : Epoch  1, Batch    104, Loss  0.780322, Average Loss  0.962150, Time  0.231045
2021-09-15 02:10:06.499878 : Epoch  1, Batch    105, Loss  0.763470, Average Loss  0.960258, Time  0.231171
2021-09-15 02:10:08.042382 : Epoch  1, Batch    106, Loss  0.739869, Average Loss  0.958178, Time  0.231535
2021-09-15 02:10:09.593816 : Epoch  1, Batch    107, Loss  0.708943, Average Loss  0.955849, Time  0.232800
2021-09-15 02:10:11.132776 : Epoch  1, Batch    108, Loss  0.697986, Average Loss  0.953461, Time  0.231862
2021-09-15 02:10:12.678032 : Epoch  1, Batch    109, Loss  0.695575, Average Loss  0.951096, Time  0.231819
2021-09-15 02:10:14.222560 : Epoch  1, Batch    110, Loss  0.684249, Average Loss  0.948670, Time  0.231783
2021-09-15 02:10:15.768190 : Epoch  1, Batch    111, Loss  0.677717, Average Loss  0.946229, Time  0.230709
2021-09-15 02:10:17.311318 : Epoch  1, Batch    112, Loss  0.688242, Average Loss  0.943925, Time  0.231932
2021-09-15 02:10:18.842935 : Epoch  1, Batch    113, Loss  0.672836, Average Loss  0.941526, Time  0.231482
2021-09-15 02:10:20.378293 : Epoch  1, Batch    114, Loss  0.687197, Average Loss  0.939295, Time  0.231420
2021-09-15 02:10:21.917880 : Epoch  1, Batch    115, Loss  0.683990, Average Loss  0.937075, Time  0.231538
2021-09-15 02:10:23.469570 : Epoch  1, Batch    116, Loss  0.669662, Average Loss  0.934770, Time  0.231229
2021-09-15 02:10:25.018145 : Epoch  1, Batch    117, Loss  0.674553, Average Loss  0.932546, Time  0.231714
2021-09-15 02:10:26.553766 : Epoch  1, Batch    118, Loss  0.678197, Average Loss  0.930390, Time  0.231276
2021-09-15 02:10:28.093154 : Epoch  1, Batch    119, Loss  0.662392, Average Loss  0.928138, Time  0.231449
2021-09-15 02:10:29.629436 : Epoch  1, Batch    120, Loss  0.662326, Average Loss  0.925923, Time  0.231396
2021-09-15 02:10:31.171092 : Epoch  1, Batch    121, Loss  0.663746, Average Loss  0.923756, Time  0.231246
2021-09-15 02:10:32.712029 : Epoch  1, Batch    122, Loss  0.676493, Average Loss  0.921730, Time  0.232142
2021-09-15 02:10:34.253574 : Epoch  1, Batch    123, Loss  0.667823, Average Loss  0.919665, Time  0.231209
2021-09-15 02:10:35.794099 : Epoch  1, Batch    124, Loss  0.658325, Average Loss  0.917558, Time  0.231740
2021-09-15 02:10:37.333198 : Epoch  1, Batch    125, Loss  0.660883, Average Loss  0.915504, Time  0.231265
2021-09-15 02:10:38.891837 : Epoch  1, Batch    126, Loss  0.662074, Average Loss  0.913493, Time  0.233509
2021-09-15 02:10:40.430770 : Epoch  1, Batch    127, Loss  0.664823, Average Loss  0.911535, Time  0.231164
2021-09-15 02:10:41.970917 : Epoch  1, Batch    128, Loss  0.657034, Average Loss  0.909547, Time  0.232156
2021-09-15 02:10:43.522942 : Epoch  1, Batch    129, Loss  0.663618, Average Loss  0.907640, Time  0.231277
2021-09-15 02:10:45.079998 : Epoch  1, Batch    130, Loss  0.653925, Average Loss  0.905689, Time  0.231996
2021-09-15 02:10:46.628780 : Epoch  1, Batch    131, Loss  0.664269, Average Loss  0.903846, Time  0.232318
2021-09-15 02:10:48.172076 : Epoch  1, Batch    132, Loss  0.657845, Average Loss  0.901982, Time  0.231179
2021-09-15 02:10:49.712905 : Epoch  1, Batch    133, Loss  0.658627, Average Loss  0.900152, Time  0.231069
2021-09-15 02:10:51.256479 : Epoch  1, Batch    134, Loss  0.652989, Average Loss  0.898308, Time  0.231293
2021-09-15 02:10:52.797973 : Epoch  1, Batch    135, Loss  0.653430, Average Loss  0.896494, Time  0.230978
2021-09-15 02:10:54.340996 : Epoch  1, Batch    136, Loss  0.646844, Average Loss  0.894658, Time  0.231220
2021-09-15 02:10:55.887209 : Epoch  1, Batch    137, Loss  0.654098, Average Loss  0.892902, Time  0.232455
2021-09-15 02:10:57.428985 : Epoch  1, Batch    138, Loss  0.648065, Average Loss  0.891128, Time  0.231261
2021-09-15 02:10:58.976934 : Epoch  1, Batch    139, Loss  0.653466, Average Loss  0.889418, Time  0.231032
2021-09-15 02:11:00.515986 : Epoch  1, Batch    140, Loss  0.651253, Average Loss  0.887717, Time  0.231403
2021-09-15 02:11:02.055246 : Epoch  1, Batch    141, Loss  0.655030, Average Loss  0.886067, Time  0.231617
2021-09-15 02:11:03.099795 : Finish Loading dataset train
2021-09-15 02:11:03.126920 : Data Shuffle
2021-09-15 02:11:03.160176 : Start Shuffling
2021-09-15 02:11:03.595755 : Epoch  1, Batch    142, Loss  0.651318, Average Loss  0.884414, Time  0.232842
2021-09-15 02:11:04.375793 : Finish Shuffling
2021-09-15 02:11:04.463484 : Generate Batch
2021-09-15 02:11:04.849217 : Building dataset valid from orignial text documents
2021-09-15 02:11:05.147821 : Epoch  1, Batch    143, Loss  0.647554, Average Loss  0.882757, Time  0.231120
2021-09-15 02:11:06.687388 : Epoch  1, Batch    144, Loss  0.646402, Average Loss  0.881116, Time  0.231114
2021-09-15 02:11:08.232256 : Epoch  1, Batch    145, Loss  0.649292, Average Loss  0.879517, Time  0.232419
2021-09-15 02:11:09.772589 : Epoch  1, Batch    146, Loss  0.651105, Average Loss  0.877953, Time  0.231251
2021-09-15 02:11:11.319865 : Epoch  1, Batch    147, Loss  0.654298, Average Loss  0.876431, Time  0.231173
2021-09-15 02:11:12.863907 : Epoch  1, Batch    148, Loss  0.643010, Average Loss  0.874854, Time  0.233665
2021-09-15 02:11:13.287331 : Finish Loading dataset valid
2021-09-15 02:11:13.309962 : Data Shuffle
2021-09-15 02:11:13.358717 : Start Shuffling
2021-09-15 02:11:13.437095 : Finish Shuffling
2021-09-15 02:11:13.469327 : Generate Batch
2021-09-15 02:11:13.505808 : There are 1856 batches per epoch
2021-09-15 02:11:13.526877 : Batch Shuffled
2021-09-15 02:11:14.398941 : Epoch  1, Batch    149, Loss  0.648741, Average Loss  0.873337, Time  0.232144
2021-09-15 02:11:15.950396 : Epoch  1, Batch    150, Loss  0.647725, Average Loss  0.871833, Time  0.231831
2021-09-15 02:11:16.734617 : Epoch  1, Batch      1, Loss  1.844884, Average Loss  1.844884, Time  0.484238
2021-09-15 02:11:17.481261 : Epoch  1, Batch    151, Loss  0.648607, Average Loss  0.870354, Time  0.231220
2021-09-15 02:11:19.017406 : Epoch  1, Batch    152, Loss  0.652780, Average Loss  0.868923, Time  0.230864
2021-09-15 02:11:19.735767 : Epoch  1, Batch      2, Loss  1.843657, Average Loss  1.844270, Time  0.273317
2021-09-15 02:11:20.553851 : Epoch  1, Batch    153, Loss  0.646900, Average Loss  0.867472, Time  0.231159
2021-09-15 02:11:22.089746 : Epoch  1, Batch    154, Loss  0.648002, Average Loss  0.866047, Time  0.231131
2021-09-15 02:11:22.747201 : Epoch  1, Batch      3, Loss  1.839019, Average Loss  1.842520, Time  0.266032
2021-09-15 02:11:23.631735 : Epoch  1, Batch    155, Loss  0.655985, Average Loss  0.864691, Time  0.231234
2021-09-15 02:11:25.167839 : Epoch  1, Batch    156, Loss  0.645192, Average Loss  0.863284, Time  0.231262
2021-09-15 02:11:25.747930 : Epoch  1, Batch      4, Loss  1.832527, Average Loss  1.840022, Time  0.265752
2021-09-15 02:11:26.711171 : Epoch  1, Batch    157, Loss  0.649591, Average Loss  0.861923, Time  0.231565
2021-09-15 02:11:28.246108 : Epoch  1, Batch    158, Loss  0.648483, Average Loss  0.860572, Time  0.230834
2021-09-15 02:11:28.742327 : Epoch  1, Batch      5, Loss  1.833285, Average Loss  1.838674, Time  0.264779
2021-09-15 02:11:29.792464 : Epoch  1, Batch    159, Loss  0.644654, Average Loss  0.859214, Time  0.231553
2021-09-15 02:11:31.326239 : Epoch  1, Batch    160, Loss  0.656738, Average Loss  0.857949, Time  0.230885
2021-09-15 02:11:31.733330 : Epoch  1, Batch      6, Loss  1.829382, Average Loss  1.837126, Time  0.264916
2021-09-15 02:11:32.875027 : Epoch  1, Batch    161, Loss  0.647482, Average Loss  0.856642, Time  0.231371
2021-09-15 02:11:34.415583 : Epoch  1, Batch    162, Loss  0.650092, Average Loss  0.855367, Time  0.231837
2021-09-15 02:11:34.749128 : Epoch  1, Batch      7, Loss  1.825008, Average Loss  1.835395, Time  0.265284
2021-09-15 02:11:35.947867 : Epoch  1, Batch    163, Loss  0.639245, Average Loss  0.854041, Time  0.229555
2021-09-15 02:11:37.495656 : Epoch  1, Batch    164, Loss  0.644060, Average Loss  0.852760, Time  0.231332
2021-09-15 02:11:37.725184 : Epoch  1, Batch      8, Loss  1.817716, Average Loss  1.833185, Time  0.264141
2021-09-15 02:11:39.025740 : Epoch  1, Batch    165, Loss  0.639980, Average Loss  0.851471, Time  0.231329
2021-09-15 02:11:40.557752 : Epoch  1, Batch    166, Loss  0.641786, Average Loss  0.850208, Time  0.231107
2021-09-15 02:11:40.715097 : Epoch  1, Batch      9, Loss  1.810947, Average Loss  1.830714, Time  0.264944
2021-09-15 02:11:42.106256 : Epoch  1, Batch    167, Loss  0.654400, Average Loss  0.849035, Time  0.231795
2021-09-15 02:11:43.648114 : Epoch  1, Batch    168, Loss  0.648726, Average Loss  0.847843, Time  0.231639
2021-09-15 02:11:43.696741 : Epoch  1, Batch     10, Loss  1.796574, Average Loss  1.827300, Time  0.266779
2021-09-15 02:11:45.190603 : Epoch  1, Batch    169, Loss  0.638667, Average Loss  0.846605, Time  0.231161
2021-09-15 02:11:46.698624 : Epoch  1, Batch     11, Loss  1.786851, Average Loss  1.823623, Time  0.264323
2021-09-15 02:11:46.734034 : Epoch  1, Batch    170, Loss  0.648244, Average Loss  0.845438, Time  0.231359
2021-09-15 02:11:49.704134 : Epoch  1, Batch     12, Loss  1.783778, Average Loss  1.820302, Time  0.264748
2021-09-15 02:11:50.661961 : Epoch  1, Batch    171, Loss  0.646172, Average Loss  0.844273, Time  0.262351
2021-09-15 02:11:52.209978 : Epoch  1, Batch    172, Loss  0.650477, Average Loss  0.843146, Time  0.237824
2021-09-15 02:11:52.690251 : Epoch  1, Batch     13, Loss  1.776271, Average Loss  1.816915, Time  0.265051
2021-09-15 02:11:53.747075 : Epoch  1, Batch    173, Loss  0.637964, Average Loss  0.841960, Time  0.230442
2021-09-15 02:11:55.290526 : Epoch  1, Batch    174, Loss  0.644147, Average Loss  0.840823, Time  0.231414
2021-09-15 02:11:55.690168 : Epoch  1, Batch     14, Loss  1.755304, Average Loss  1.812515, Time  0.265320
2021-09-15 02:11:56.827972 : Epoch  1, Batch    175, Loss  0.649651, Average Loss  0.839731, Time  0.231084
2021-09-15 02:11:58.370157 : Epoch  1, Batch    176, Loss  0.637388, Average Loss  0.838581, Time  0.231798
2021-09-15 02:11:58.674059 : Epoch  1, Batch     15, Loss  1.755974, Average Loss  1.808745, Time  0.265414
2021-09-15 02:11:59.898884 : Epoch  1, Batch    177, Loss  0.653434, Average Loss  0.837535, Time  0.230732
2021-09-15 02:12:01.419331 : Epoch  1, Batch    178, Loss  0.649692, Average Loss  0.836480, Time  0.231020
2021-09-15 02:12:01.692548 : Epoch  1, Batch     16, Loss  1.737342, Average Loss  1.804283, Time  0.264884
2021-09-15 02:12:02.956032 : Epoch  1, Batch    179, Loss  0.644049, Average Loss  0.835405, Time  0.231397
2021-09-15 02:12:04.485847 : Epoch  1, Batch    180, Loss  0.640251, Average Loss  0.834321, Time  0.231622
2021-09-15 02:12:04.731950 : Epoch  1, Batch     17, Loss  1.737284, Average Loss  1.800341, Time  0.280395
2021-09-15 02:12:06.023993 : Epoch  1, Batch    181, Loss  0.649345, Average Loss  0.833299, Time  0.230963
2021-09-15 02:12:07.552653 : Epoch  1, Batch    182, Loss  0.639697, Average Loss  0.832235, Time  0.230963
2021-09-15 02:12:07.720629 : Epoch  1, Batch     18, Loss  1.724023, Average Loss  1.796101, Time  0.265528
2021-09-15 02:12:09.092997 : Epoch  1, Batch    183, Loss  0.649187, Average Loss  0.831235, Time  0.230902
2021-09-15 02:12:10.629325 : Epoch  1, Batch    184, Loss  0.648934, Average Loss  0.830244, Time  0.231514
2021-09-15 02:12:10.698248 : Epoch  1, Batch     19, Loss  1.709201, Average Loss  1.791528, Time  0.264901
2021-09-15 02:12:12.163982 : Epoch  1, Batch    185, Loss  0.652153, Average Loss  0.829281, Time  0.230830
2021-09-15 02:12:13.693514 : Epoch  1, Batch     20, Loss  1.707632, Average Loss  1.787333, Time  0.264793
2021-09-15 02:12:13.700938 : Epoch  1, Batch    186, Loss  0.643754, Average Loss  0.828284, Time  0.230548
2021-09-15 02:12:15.271941 : Epoch  1, Batch    187, Loss  0.651708, Average Loss  0.827340, Time  0.231141
2021-09-15 02:12:16.687029 : Epoch  1, Batch     21, Loss  1.711902, Average Loss  1.783741, Time  0.265224
2021-09-15 02:12:16.802986 : Epoch  1, Batch    188, Loss  0.651365, Average Loss  0.826404, Time  0.232542
2021-09-15 02:12:18.330407 : Epoch  1, Batch    189, Loss  0.651541, Average Loss  0.825478, Time  0.231292
2021-09-15 02:12:19.679705 : Epoch  1, Batch     22, Loss  1.712545, Average Loss  1.780505, Time  0.264069
2021-09-15 02:12:19.863890 : Epoch  1, Batch    190, Loss  0.649119, Average Loss  0.824550, Time  0.231189
2021-09-15 02:12:21.384812 : Epoch  1, Batch    191, Loss  0.649929, Average Loss  0.823636, Time  0.230572
2021-09-15 02:12:22.659500 : Epoch  1, Batch     23, Loss  1.694801, Average Loss  1.776779, Time  0.264670
2021-09-15 02:12:22.920422 : Epoch  1, Batch    192, Loss  0.643999, Average Loss  0.822700, Time  0.230956
2021-09-15 02:12:24.453032 : Epoch  1, Batch    193, Loss  0.648522, Average Loss  0.821798, Time  0.231156
2021-09-15 02:12:25.660372 : Epoch  1, Batch     24, Loss  1.687768, Average Loss  1.773070, Time  0.265758
2021-09-15 02:12:25.989243 : Epoch  1, Batch    194, Loss  0.645893, Average Loss  0.820891, Time  0.231194
2021-09-15 02:12:27.528556 : Epoch  1, Batch    195, Loss  0.643632, Average Loss  0.819982, Time  0.231424
2021-09-15 02:12:28.652956 : Epoch  1, Batch     25, Loss  1.698982, Average Loss  1.770106, Time  0.264963
2021-09-15 02:12:29.059851 : Epoch  1, Batch    196, Loss  0.657396, Average Loss  0.819153, Time  0.230923
2021-09-15 02:12:30.593406 : Epoch  1, Batch    197, Loss  0.659240, Average Loss  0.818341, Time  0.231520
2021-09-15 02:12:31.656753 : Epoch  1, Batch     26, Loss  1.685222, Average Loss  1.766842, Time  0.264731
2021-09-15 02:12:32.147065 : Epoch  1, Batch    198, Loss  0.645614, Average Loss  0.817468, Time  0.230983
2021-09-15 02:12:33.691597 : Epoch  1, Batch    199, Loss  0.648167, Average Loss  0.816618, Time  0.231701
2021-09-15 02:12:34.653576 : Epoch  1, Batch     27, Loss  1.694234, Average Loss  1.764152, Time  0.264524
2021-09-15 02:12:35.242317 : Epoch  1, Batch    200, Loss  0.657276, Average Loss  0.815821, Time  0.231147
2021-09-15 02:12:37.647121 : Epoch  1, Batch     28, Loss  1.685826, Average Loss  1.761355, Time  0.264522
2021-09-15 02:12:40.698122 : Epoch  1, Batch     29, Loss  1.694416, Average Loss  1.759047, Time  0.264627
2021-09-15 02:12:43.693917 : Epoch  1, Batch     30, Loss  1.672441, Average Loss  1.756160, Time  0.266104
2021-09-15 02:12:46.696480 : Epoch  1, Batch     31, Loss  1.685352, Average Loss  1.753876, Time  0.266192
2021-09-15 02:12:49.703196 : Epoch  1, Batch     32, Loss  1.689438, Average Loss  1.751862, Time  0.279608
2021-09-15 02:12:52.695134 : Epoch  1, Batch     33, Loss  1.682956, Average Loss  1.749774, Time  0.265592
2021-09-15 02:12:55.691681 : Epoch  1, Batch     34, Loss  1.648347, Average Loss  1.746791, Time  0.264359
2021-09-15 02:12:58.683912 : Epoch  1, Batch     35, Loss  1.664836, Average Loss  1.744449, Time  0.266004
2021-09-15 02:13:01.669658 : Epoch  1, Batch     36, Loss  1.671816, Average Loss  1.742432, Time  0.265453
2021-09-15 02:13:04.697855 : Epoch  1, Batch     37, Loss  1.664532, Average Loss  1.740326, Time  0.265502
2021-09-15 02:13:07.720123 : Epoch  1, Batch     38, Loss  1.661211, Average Loss  1.738244, Time  0.264733
2021-09-15 02:13:10.722899 : Epoch  1, Batch     39, Loss  1.668949, Average Loss  1.736468, Time  0.265772
2021-09-15 02:13:13.732540 : Epoch  1, Batch     40, Loss  1.662844, Average Loss  1.734627, Time  0.264232
2021-09-15 02:13:16.727360 : Epoch  1, Batch     41, Loss  1.686615, Average Loss  1.733456, Time  0.264606
2021-09-15 02:13:19.713636 : Epoch  1, Batch     42, Loss  1.652165, Average Loss  1.731520, Time  0.264301
2021-09-15 02:13:22.714891 : Epoch  1, Batch     43, Loss  1.670401, Average Loss  1.730099, Time  0.265264
2021-09-15 02:13:25.714662 : Epoch  1, Batch     44, Loss  1.673218, Average Loss  1.728806, Time  0.264787
2021-09-15 02:13:28.742999 : Epoch  1, Batch     45, Loss  1.638371, Average Loss  1.726797, Time  0.265817
2021-09-15 02:13:31.758892 : Epoch  1, Batch     46, Loss  1.668605, Average Loss  1.725532, Time  0.265104
2021-09-15 02:13:33.385966 : CheckPoint: Validation Loss  0.00026632, Best Loss  0.00026632
2021-09-15 02:13:33.424165 : Best Model Updated
2021-09-15 02:13:34.751149 : Epoch  1, Batch     47, Loss  1.660604, Average Loss  1.724150, Time  0.274445
2021-09-15 02:13:35.702086 : Epoch  1, Batch    201, Loss  0.645774, Average Loss  0.813146, Time  0.231328
2021-09-15 02:13:37.248049 : Epoch  1, Batch    202, Loss  0.649137, Average Loss  0.810486, Time  0.230563
2021-09-15 02:13:37.763136 : Epoch  1, Batch     48, Loss  1.666686, Average Loss  1.722953, Time  0.265488
2021-09-15 02:13:38.799046 : Epoch  1, Batch    203, Loss  0.646693, Average Loss  0.807814, Time  0.231291
2021-09-15 02:13:40.356311 : Epoch  1, Batch    204, Loss  0.647533, Average Loss  0.805179, Time  0.230900
2021-09-15 02:13:40.756034 : Epoch  1, Batch     49, Loss  1.658420, Average Loss  1.721636, Time  0.264613
2021-09-15 02:13:41.899741 : Epoch  1, Batch    205, Loss  0.634513, Average Loss  0.802464, Time  0.230600
2021-09-15 02:13:43.446022 : Epoch  1, Batch    206, Loss  0.647881, Average Loss  0.799840, Time  0.230725
2021-09-15 02:13:43.735813 : Epoch  1, Batch     50, Loss  1.672273, Average Loss  1.720649, Time  0.266192
2021-09-15 02:13:44.992234 : Epoch  1, Batch    207, Loss  0.649451, Average Loss  0.797282, Time  0.230542
2021-09-15 02:13:46.532321 : Epoch  1, Batch    208, Loss  0.642842, Average Loss  0.794701, Time  0.231554
2021-09-15 02:13:46.713271 : Epoch  1, Batch     51, Loss  1.657786, Average Loss  1.719416, Time  0.264457
2021-09-15 02:13:48.086926 : Epoch  1, Batch    209, Loss  0.648405, Average Loss  0.792190, Time  0.231483
2021-09-15 02:13:49.630540 : Epoch  1, Batch    210, Loss  0.642720, Average Loss  0.789708, Time  0.230900
2021-09-15 02:13:49.710272 : Epoch  1, Batch     52, Loss  1.663921, Average Loss  1.718349, Time  0.266368
2021-09-15 02:13:51.186978 : Epoch  1, Batch    211, Loss  0.649177, Average Loss  0.787270, Time  0.230905
2021-09-15 02:13:52.713658 : Epoch  1, Batch     53, Loss  1.656911, Average Loss  1.717190, Time  0.264836
2021-09-15 02:13:52.728380 : Epoch  1, Batch    212, Loss  0.641950, Average Loss  0.784844, Time  0.232690
2021-09-15 02:13:54.271312 : Epoch  1, Batch    213, Loss  0.655545, Average Loss  0.782538, Time  0.230561
2021-09-15 02:13:55.692777 : Epoch  1, Batch     54, Loss  1.673891, Average Loss  1.716388, Time  0.265212
2021-09-15 02:13:55.821097 : Epoch  1, Batch    214, Loss  0.641189, Average Loss  0.780195, Time  0.231169
2021-09-15 02:13:57.354929 : Epoch  1, Batch    215, Loss  0.643128, Average Loss  0.777908, Time  0.231386
2021-09-15 02:13:58.687281 : Epoch  1, Batch     55, Loss  1.662132, Average Loss  1.715401, Time  0.264253
2021-09-15 02:13:58.888756 : Epoch  1, Batch    216, Loss  0.646532, Average Loss  0.775678, Time  0.231042
2021-09-15 02:14:00.426999 : Epoch  1, Batch    217, Loss  0.636280, Average Loss  0.773468, Time  0.231045
2021-09-15 02:14:01.738142 : Epoch  1, Batch     56, Loss  1.648590, Average Loss  1.714208, Time  0.264510
2021-09-15 02:14:01.978164 : Epoch  1, Batch    218, Loss  0.647547, Average Loss  0.771333, Time  0.231731
2021-09-15 02:14:03.515015 : Epoch  1, Batch    219, Loss  0.644583, Average Loss  0.769251, Time  0.231250
2021-09-15 02:14:04.751519 : Epoch  1, Batch     57, Loss  1.655759, Average Loss  1.713183, Time  0.265871
2021-09-15 02:14:05.057379 : Epoch  1, Batch    220, Loss  0.643818, Average Loss  0.767175, Time  0.231349
2021-09-15 02:14:06.595443 : Epoch  1, Batch    221, Loss  0.635898, Average Loss  0.765105, Time  0.230816
2021-09-15 02:14:07.734140 : Epoch  1, Batch     58, Loss  1.651049, Average Loss  1.712112, Time  0.264550
2021-09-15 02:14:08.137049 : Epoch  1, Batch    222, Loss  0.649353, Average Loss  0.763142, Time  0.230709
2021-09-15 02:14:09.716075 : Epoch  1, Batch    223, Loss  0.649849, Average Loss  0.761210, Time  0.230746
2021-09-15 02:14:10.747286 : Epoch  1, Batch     59, Loss  1.662704, Average Loss  1.711274, Time  0.266244
2021-09-15 02:14:11.250807 : Epoch  1, Batch    224, Loss  0.648887, Average Loss  0.759303, Time  0.230866
2021-09-15 02:14:12.787818 : Epoch  1, Batch    225, Loss  0.644509, Average Loss  0.757406, Time  0.231238
2021-09-15 02:14:13.760179 : Epoch  1, Batch     60, Loss  1.652060, Average Loss  1.710287, Time  0.265003
2021-09-15 02:14:14.330999 : Epoch  1, Batch    226, Loss  0.643270, Average Loss  0.755538, Time  0.230947
2021-09-15 02:14:15.887918 : Epoch  1, Batch    227, Loss  0.639235, Average Loss  0.753682, Time  0.232211
2021-09-15 02:14:16.746684 : Epoch  1, Batch     61, Loss  1.657504, Average Loss  1.709422, Time  0.264140
2021-09-15 02:14:17.430303 : Epoch  1, Batch    228, Loss  0.644673, Average Loss  0.751870, Time  0.230643
2021-09-15 02:14:18.976274 : Epoch  1, Batch    229, Loss  0.633162, Average Loss  0.750008, Time  0.231097
2021-09-15 02:14:19.729526 : Epoch  1, Batch     62, Loss  1.671282, Average Loss  1.708807, Time  0.273678
2021-09-15 02:14:20.519634 : Epoch  1, Batch    230, Loss  0.645381, Average Loss  0.748222, Time  0.231373
2021-09-15 02:14:22.068040 : Epoch  1, Batch    231, Loss  0.644075, Average Loss  0.746467, Time  0.231405
2021-09-15 02:14:22.751801 : Epoch  1, Batch     63, Loss  1.661977, Average Loss  1.708063, Time  0.265301
2021-09-15 02:14:23.614974 : Epoch  1, Batch    232, Loss  0.649545, Average Loss  0.744757, Time  0.230979
2021-09-15 02:14:25.170007 : Epoch  1, Batch    233, Loss  0.648504, Average Loss  0.743030, Time  0.233531
2021-09-15 02:14:25.734627 : Epoch  1, Batch     64, Loss  1.651577, Average Loss  1.707181, Time  0.264783
2021-09-15 02:14:26.720337 : Epoch  1, Batch    234, Loss  0.636582, Average Loss  0.741270, Time  0.231189
2021-09-15 02:14:28.268221 : Epoch  1, Batch    235, Loss  0.638898, Average Loss  0.739532, Time  0.231745
2021-09-15 02:14:28.740451 : Epoch  1, Batch     65, Loss  1.651803, Average Loss  1.706329, Time  0.265375
2021-09-15 02:14:29.838648 : Epoch  1, Batch    236, Loss  0.637791, Average Loss  0.737800, Time  0.230778
2021-09-15 02:14:31.385057 : Epoch  1, Batch    237, Loss  0.641103, Average Loss  0.736127, Time  0.231107
2021-09-15 02:14:31.759570 : Epoch  1, Batch     66, Loss  1.633936, Average Loss  1.705232, Time  0.264478
2021-09-15 02:14:32.931347 : Epoch  1, Batch    238, Loss  0.641799, Average Loss  0.734479, Time  0.230617
2021-09-15 02:14:34.493871 : Epoch  1, Batch    239, Loss  0.636301, Average Loss  0.732787, Time  0.230516
2021-09-15 02:14:34.748320 : Epoch  1, Batch     67, Loss  1.667034, Average Loss  1.704662, Time  0.265860
2021-09-15 02:14:36.036756 : Epoch  1, Batch    240, Loss  0.649515, Average Loss  0.731149, Time  0.230808
2021-09-15 02:14:37.595591 : Epoch  1, Batch    241, Loss  0.643112, Average Loss  0.729511, Time  0.230877
2021-09-15 02:14:37.736746 : Epoch  1, Batch     68, Loss  1.648209, Average Loss  1.703832, Time  0.265484
2021-09-15 02:14:39.133882 : Epoch  1, Batch    242, Loss  0.643918, Average Loss  0.727864, Time  0.231259
2021-09-15 02:14:40.686780 : Epoch  1, Batch    243, Loss  0.641224, Average Loss  0.726234, Time  0.230240
2021-09-15 02:14:40.749114 : Epoch  1, Batch     69, Loss  1.665745, Average Loss  1.703280, Time  0.265540
2021-09-15 02:14:42.240503 : Epoch  1, Batch    244, Loss  0.642870, Average Loss  0.724624, Time  0.232511
2021-09-15 02:14:43.761227 : Epoch  1, Batch     70, Loss  1.643394, Average Loss  1.702424, Time  0.266404
2021-09-15 02:14:43.798607 : Epoch  1, Batch    245, Loss  0.648487, Average Loss  0.723052, Time  0.231760
2021-09-15 02:14:45.342981 : Epoch  1, Batch    246, Loss  0.639667, Average Loss  0.721427, Time  0.231736
2021-09-15 02:14:46.790297 : Epoch  1, Batch     71, Loss  1.648988, Average Loss  1.701672, Time  0.266357
2021-09-15 02:14:46.886144 : Epoch  1, Batch    247, Loss  0.644758, Average Loss  0.719859, Time  0.232058
2021-09-15 02:14:48.441329 : Epoch  1, Batch    248, Loss  0.637306, Average Loss  0.718261, Time  0.230870
2021-09-15 02:14:49.817268 : Epoch  1, Batch     72, Loss  1.651002, Average Loss  1.700968, Time  0.266393
2021-09-15 02:14:49.981568 : Epoch  1, Batch    249, Loss  0.641884, Average Loss  0.716689, Time  0.230868
2021-09-15 02:14:51.516987 : Epoch  1, Batch    250, Loss  0.646494, Average Loss  0.715136, Time  0.230826
2021-09-15 02:14:52.835133 : Epoch  1, Batch     73, Loss  1.655506, Average Loss  1.700345, Time  0.265566
2021-09-15 02:14:53.055741 : Epoch  1, Batch    251, Loss  0.645514, Average Loss  0.713550, Time  0.232355
2021-09-15 02:14:54.591119 : Epoch  1, Batch    252, Loss  0.650889, Average Loss  0.712027, Time  0.230592
2021-09-15 02:14:55.816471 : Epoch  1, Batch     74, Loss  1.648172, Average Loss  1.699640, Time  0.264585
2021-09-15 02:14:56.137330 : Epoch  1, Batch    253, Loss  0.639995, Average Loss  0.710447, Time  0.231316
2021-09-15 02:14:57.671615 : Epoch  1, Batch    254, Loss  0.649591, Average Loss  0.708928, Time  0.232131
2021-09-15 02:14:58.808851 : Epoch  1, Batch     75, Loss  1.647258, Average Loss  1.698942, Time  0.265536
2021-09-15 02:14:59.211673 : Epoch  1, Batch    255, Loss  0.648344, Average Loss  0.707410, Time  0.231185
2021-09-15 02:15:00.757385 : Epoch  1, Batch    256, Loss  0.642042, Average Loss  0.705848, Time  0.231081
2021-09-15 02:15:01.842620 : Epoch  1, Batch     76, Loss  1.648076, Average Loss  1.698272, Time  0.266233
2021-09-15 02:15:02.303878 : Epoch  1, Batch    257, Loss  0.644654, Average Loss  0.704312, Time  0.232333
2021-09-15 02:15:03.845222 : Epoch  1, Batch    258, Loss  0.645479, Average Loss  0.702776, Time  0.231054
2021-09-15 02:15:04.873211 : Epoch  1, Batch     77, Loss  1.665878, Average Loss  1.697852, Time  0.271781
2021-09-15 02:15:05.392355 : Epoch  1, Batch    259, Loss  0.634323, Average Loss  0.701213, Time  0.230810
2021-09-15 02:15:06.934636 : Epoch  1, Batch    260, Loss  0.642342, Average Loss  0.699714, Time  0.231007
2021-09-15 02:15:07.879946 : Epoch  1, Batch     78, Loss  1.645252, Average Loss  1.697177, Time  0.266423
2021-09-15 02:15:08.488035 : Epoch  1, Batch    261, Loss  0.645580, Average Loss  0.698195, Time  0.231498
2021-09-15 02:15:10.031644 : Epoch  1, Batch    262, Loss  0.637559, Average Loss  0.696625, Time  0.230687
2021-09-15 02:15:10.874150 : Epoch  1, Batch     79, Loss  1.645314, Average Loss  1.696521, Time  0.265445
2021-09-15 02:15:11.587625 : Epoch  1, Batch    263, Loss  0.639102, Average Loss  0.695084, Time  0.231500
2021-09-15 02:15:13.142204 : Epoch  1, Batch    264, Loss  0.640737, Average Loss  0.693524, Time  0.231374
2021-09-15 02:15:13.901273 : Epoch  1, Batch     80, Loss  1.652302, Average Loss  1.695968, Time  0.265679
2021-09-15 02:15:14.687018 : Epoch  1, Batch    265, Loss  0.645877, Average Loss  0.692043, Time  0.231485
2021-09-15 02:15:16.237038 : Epoch  1, Batch    266, Loss  0.643571, Average Loss  0.690496, Time  0.231569
2021-09-15 02:15:16.902865 : Epoch  1, Batch     81, Loss  1.642027, Average Loss  1.695302, Time  0.264058
2021-09-15 02:15:17.779547 : Epoch  1, Batch    267, Loss  0.643396, Average Loss  0.688987, Time  0.230868
2021-09-15 02:15:19.314181 : Epoch  1, Batch    268, Loss  0.628342, Average Loss  0.687423, Time  0.230626
2021-09-15 02:15:19.911077 : Epoch  1, Batch     82, Loss  1.636640, Average Loss  1.694587, Time  0.265219
2021-09-15 02:15:20.855113 : Epoch  1, Batch    269, Loss  0.639548, Average Loss  0.685930, Time  0.232450
2021-09-15 02:15:22.402352 : Epoch  1, Batch    270, Loss  0.650753, Average Loss  0.684506, Time  0.231760
2021-09-15 02:15:22.940497 : Epoch  1, Batch     83, Loss  1.620424, Average Loss  1.693693, Time  0.265572
2021-09-15 02:15:25.926571 : Epoch  1, Batch     84, Loss  1.628832, Average Loss  1.692921, Time  0.265009
2021-09-15 02:15:26.315903 : Epoch  1, Batch    271, Loss  0.643200, Average Loss  0.683049, Time  0.272251
2021-09-15 02:15:27.857756 : Epoch  1, Batch    272, Loss  0.643112, Average Loss  0.681599, Time  0.250714
2021-09-15 02:15:28.907804 : Epoch  1, Batch     85, Loss  1.629952, Average Loss  1.692180, Time  0.264803
2021-09-15 02:15:29.392982 : Epoch  1, Batch    273, Loss  0.643114, Average Loss  0.680169, Time  0.235481
2021-09-15 02:15:30.907684 : Epoch  1, Batch    274, Loss  0.639238, Average Loss  0.678715, Time  0.231774
2021-09-15 02:15:31.910668 : Epoch  1, Batch     86, Loss  1.630460, Average Loss  1.691463, Time  0.265193
2021-09-15 02:15:32.446345 : Epoch  1, Batch    275, Loss  0.649439, Average Loss  0.677343, Time  0.231725
2021-09-15 02:15:33.984043 : Epoch  1, Batch    276, Loss  0.651054, Average Loss  0.676032, Time  0.230634
2021-09-15 02:15:34.945230 : Epoch  1, Batch     87, Loss  1.640696, Average Loss  1.690879, Time  0.264914
2021-09-15 02:15:35.505698 : Epoch  1, Batch    277, Loss  0.656800, Average Loss  0.674810, Time  0.230602
2021-09-15 02:15:37.038232 : Epoch  1, Batch    278, Loss  0.637019, Average Loss  0.673488, Time  0.231190
2021-09-15 02:15:37.940575 : Epoch  1, Batch     88, Loss  1.620102, Average Loss  1.690075, Time  0.264037
2021-09-15 02:15:38.568771 : Epoch  1, Batch    279, Loss  0.649704, Average Loss  0.672274, Time  0.230734
2021-09-15 02:15:40.107919 : Epoch  1, Batch    280, Loss  0.646120, Average Loss  0.671118, Time  0.232126
2021-09-15 02:15:40.929991 : Epoch  1, Batch     89, Loss  1.634374, Average Loss  1.689449, Time  0.266574
2021-09-15 02:15:41.652876 : Epoch  1, Batch    281, Loss  0.645960, Average Loss  0.670042, Time  0.230701
2021-09-15 02:15:43.179034 : Epoch  1, Batch    282, Loss  0.640903, Average Loss  0.669023, Time  0.231299
2021-09-15 02:15:43.911080 : Epoch  1, Batch     90, Loss  1.628777, Average Loss  1.688775, Time  0.264571
2021-09-15 02:15:44.715321 : Epoch  1, Batch    283, Loss  0.649410, Average Loss  0.668126, Time  0.231969
2021-09-15 02:15:46.243558 : Epoch  1, Batch    284, Loss  0.641470, Average Loss  0.667209, Time  0.231150
2021-09-15 02:15:46.900768 : Epoch  1, Batch     91, Loss  1.631307, Average Loss  1.688143, Time  0.265357
2021-09-15 02:15:47.764842 : Epoch  1, Batch    285, Loss  0.643736, Average Loss  0.666272, Time  0.230335
2021-09-15 02:15:49.292140 : Epoch  1, Batch    286, Loss  0.638698, Average Loss  0.665339, Time  0.230809
2021-09-15 02:15:49.890211 : Epoch  1, Batch     92, Loss  1.598760, Average Loss  1.687172, Time  0.277008
2021-09-15 02:15:50.822583 : Epoch  1, Batch    287, Loss  0.652399, Average Loss  0.664391, Time  0.230838
2021-09-15 02:15:52.353577 : Epoch  1, Batch    288, Loss  0.636167, Average Loss  0.663403, Time  0.230813
2021-09-15 02:15:52.882231 : Epoch  1, Batch     93, Loss  1.605048, Average Loss  1.686289, Time  0.265986
2021-09-15 02:15:53.894814 : Epoch  1, Batch    289, Loss  0.641255, Average Loss  0.662441, Time  0.231463
2021-09-15 02:15:55.433366 : Epoch  1, Batch    290, Loss  0.637214, Average Loss  0.661499, Time  0.232723
2021-09-15 02:15:55.870050 : Epoch  1, Batch     94, Loss  1.591182, Average Loss  1.685277, Time  0.266011
2021-09-15 02:15:56.959192 : Epoch  1, Batch    291, Loss  0.635256, Average Loss  0.660605, Time  0.230517
2021-09-15 02:15:58.496274 : Epoch  1, Batch    292, Loss  0.641398, Average Loss  0.659709, Time  0.231050
2021-09-15 02:15:58.862260 : Epoch  1, Batch     95, Loss  1.602426, Average Loss  1.684405, Time  0.263907
2021-09-15 02:16:00.025111 : Epoch  1, Batch    293, Loss  0.649538, Average Loss  0.658895, Time  0.230760
2021-09-15 02:16:01.562035 : Epoch  1, Batch    294, Loss  0.645333, Average Loss  0.658057, Time  0.232228
2021-09-15 02:16:01.870809 : Epoch  1, Batch     96, Loss  1.583768, Average Loss  1.683356, Time  0.264772
2021-09-15 02:16:03.093515 : Epoch  1, Batch    295, Loss  0.644436, Average Loss  0.657226, Time  0.230227
2021-09-15 02:16:04.623166 : Epoch  1, Batch    296, Loss  0.644925, Average Loss  0.656443, Time  0.231199
2021-09-15 02:16:04.913594 : Epoch  1, Batch     97, Loss  1.548757, Average Loss  1.681969, Time  0.264722
2021-09-15 02:16:06.162865 : Epoch  1, Batch    297, Loss  0.647482, Average Loss  0.655596, Time  0.231324
2021-09-15 02:16:07.696336 : Epoch  1, Batch    298, Loss  0.647695, Average Loss  0.654802, Time  0.231808
2021-09-15 02:16:07.913359 : Epoch  1, Batch     98, Loss  1.527253, Average Loss  1.680390, Time  0.265663
2021-09-15 02:16:09.229093 : Epoch  1, Batch    299, Loss  0.647684, Average Loss  0.654019, Time  0.234940
2021-09-15 02:16:10.761115 : Epoch  1, Batch    300, Loss  0.653308, Average Loss  0.653280, Time  0.230973
2021-09-15 02:16:10.901210 : Epoch  1, Batch     99, Loss  1.533743, Average Loss  1.678909, Time  0.266196
2021-09-15 02:16:13.917972 : Epoch  1, Batch    100, Loss  1.484780, Average Loss  1.676968, Time  0.265486
2021-09-15 02:17:08.133765 : CheckPoint: Validation Loss  0.00026632, Best Loss  0.00026632
2021-09-15 02:17:09.678948 : Epoch  1, Batch    301, Loss  0.641578, Average Loss  0.652505, Time  0.232314
2021-09-15 02:17:11.209435 : Epoch  1, Batch    302, Loss  0.646244, Average Loss  0.651764, Time  0.232255
2021-09-15 02:17:12.760887 : Epoch  1, Batch    303, Loss  0.641691, Average Loss  0.651020, Time  0.233112
2021-09-15 02:17:14.308057 : Epoch  1, Batch    304, Loss  0.644859, Average Loss  0.650342, Time  0.231283
2021-09-15 02:17:15.854067 : Epoch  1, Batch    305, Loss  0.631948, Average Loss  0.649685, Time  0.232462
2021-09-15 02:17:17.391885 : Epoch  1, Batch    306, Loss  0.642350, Average Loss  0.649197, Time  0.231116
2021-09-15 02:17:18.934409 : Epoch  1, Batch    307, Loss  0.637730, Average Loss  0.648841, Time  0.231256
2021-09-15 02:17:20.477105 : Epoch  1, Batch    308, Loss  0.642293, Average Loss  0.648562, Time  0.231821
2021-09-15 02:17:22.013505 : Epoch  1, Batch    309, Loss  0.635108, Average Loss  0.648260, Time  0.231653
2021-09-15 02:17:23.554988 : Epoch  1, Batch    310, Loss  0.648157, Average Loss  0.648080, Time  0.231643
2021-09-15 02:17:25.092771 : Epoch  1, Batch    311, Loss  0.648033, Average Loss  0.647931, Time  0.231197
2021-09-15 02:17:26.640148 : Epoch  1, Batch    312, Loss  0.638308, Average Loss  0.647682, Time  0.231099
2021-09-15 02:17:28.179359 : Epoch  1, Batch    313, Loss  0.650605, Average Loss  0.647570, Time  0.232559
2021-09-15 02:17:29.714333 : Epoch  1, Batch    314, Loss  0.639158, Average Loss  0.647330, Time  0.231063
2021-09-15 02:17:31.254864 : Epoch  1, Batch    315, Loss  0.646305, Average Loss  0.647142, Time  0.232224
2021-09-15 02:17:32.791558 : Epoch  1, Batch    316, Loss  0.633544, Average Loss  0.646961, Time  0.231848
2021-09-15 02:17:34.327382 : Epoch  1, Batch    317, Loss  0.642791, Average Loss  0.646802, Time  0.231055
2021-09-15 02:17:35.862015 : Epoch  1, Batch    318, Loss  0.641522, Average Loss  0.646619, Time  0.230839
2021-09-15 02:17:37.400414 : Epoch  1, Batch    319, Loss  0.635372, Average Loss  0.646484, Time  0.231097
2021-09-15 02:17:38.939856 : Epoch  1, Batch    320, Loss  0.630259, Average Loss  0.646324, Time  0.231937
2021-09-15 02:17:40.480090 : Epoch  1, Batch    321, Loss  0.644029, Average Loss  0.646225, Time  0.231163
2021-09-15 02:17:42.020556 : Epoch  1, Batch    322, Loss  0.642525, Average Loss  0.646055, Time  0.230589
2021-09-15 02:17:43.558348 : Epoch  1, Batch    323, Loss  0.641750, Average Loss  0.645925, Time  0.230764
2021-09-15 02:17:45.094813 : Epoch  1, Batch    324, Loss  0.642684, Average Loss  0.645847, Time  0.230349
2021-09-15 02:17:46.630789 : Epoch  1, Batch    325, Loss  0.643633, Average Loss  0.645760, Time  0.230729
2021-09-15 02:17:48.167779 : Epoch  1, Batch    326, Loss  0.638640, Average Loss  0.645643, Time  0.230781
2021-09-15 02:17:49.713872 : Epoch  1, Batch    327, Loss  0.650569, Average Loss  0.645572, Time  0.230792
2021-09-15 02:17:51.259310 : Epoch  1, Batch    328, Loss  0.638602, Average Loss  0.645480, Time  0.230845
2021-09-15 02:17:52.804668 : Epoch  1, Batch    329, Loss  0.636077, Average Loss  0.645342, Time  0.231210
2021-09-15 02:17:54.348337 : Epoch  1, Batch    330, Loss  0.641891, Average Loss  0.645282, Time  0.230752
2021-09-15 02:17:55.890601 : Epoch  1, Batch    331, Loss  0.644857, Average Loss  0.645185, Time  0.231392
2021-09-15 02:17:57.452921 : Epoch  1, Batch    332, Loss  0.638617, Average Loss  0.645089, Time  0.231294
2021-09-15 02:17:58.986792 : Epoch  1, Batch    333, Loss  0.639215, Average Loss  0.644992, Time  0.230806
2021-09-15 02:18:00.521749 : Epoch  1, Batch    334, Loss  0.631190, Average Loss  0.644883, Time  0.230559
2021-09-15 02:18:02.067546 : Epoch  1, Batch    335, Loss  0.648038, Average Loss  0.644856, Time  0.230927
2021-09-15 02:18:03.606378 : Epoch  1, Batch    336, Loss  0.648221, Average Loss  0.644863, Time  0.231425
2021-09-15 02:18:05.140018 : Epoch  1, Batch    337, Loss  0.648225, Average Loss  0.644833, Time  0.231023
2021-09-15 02:18:06.682582 : Epoch  1, Batch    338, Loss  0.641508, Average Loss  0.644800, Time  0.231684
2021-09-15 02:18:08.232319 : Epoch  1, Batch    339, Loss  0.643744, Average Loss  0.644752, Time  0.232140
2021-09-15 02:18:09.777973 : Epoch  1, Batch    340, Loss  0.632814, Average Loss  0.644660, Time  0.230733
2021-09-15 02:18:11.320775 : Epoch  1, Batch    341, Loss  0.642999, Average Loss  0.644599, Time  0.229937
2021-09-15 02:18:12.860926 : Epoch  1, Batch    342, Loss  0.640286, Average Loss  0.644544, Time  0.230798
2021-09-15 02:18:14.407029 : Epoch  1, Batch    343, Loss  0.651663, Average Loss  0.644565, Time  0.233830
2021-09-15 02:18:15.951120 : Epoch  1, Batch    344, Loss  0.643804, Average Loss  0.644552, Time  0.230808
2021-09-15 02:18:17.490285 : Epoch  1, Batch    345, Loss  0.647785, Average Loss  0.644544, Time  0.231241
2021-09-15 02:18:19.027871 : Epoch  1, Batch    346, Loss  0.642244, Average Loss  0.644500, Time  0.231395
2021-09-15 02:18:20.565817 : Epoch  1, Batch    347, Loss  0.642991, Average Loss  0.644443, Time  0.230800
2021-09-15 02:18:22.107854 : Epoch  1, Batch    348, Loss  0.647632, Average Loss  0.644467, Time  0.230912
2021-09-15 02:18:23.639828 : Epoch  1, Batch    349, Loss  0.641957, Average Loss  0.644433, Time  0.231685
2021-09-15 02:18:25.170649 : Epoch  1, Batch    350, Loss  0.636515, Average Loss  0.644377, Time  0.230534
2021-09-15 02:18:26.707696 : Epoch  1, Batch    351, Loss  0.640368, Average Loss  0.644335, Time  0.231066
2021-09-15 02:18:28.244792 : Epoch  1, Batch    352, Loss  0.637220, Average Loss  0.644258, Time  0.230927
2021-09-15 02:18:29.775906 : Epoch  1, Batch    353, Loss  0.653811, Average Loss  0.644292, Time  0.230678
2021-09-15 02:18:31.323774 : Epoch  1, Batch    354, Loss  0.641137, Average Loss  0.644258, Time  0.231802
2021-09-15 02:18:32.848364 : Epoch  1, Batch    355, Loss  0.631439, Average Loss  0.644135, Time  0.229994
2021-09-15 02:18:34.391482 : Epoch  1, Batch    356, Loss  0.654544, Average Loss  0.644182, Time  0.230425
2021-09-15 02:18:35.929492 : Epoch  1, Batch    357, Loss  0.642672, Average Loss  0.644147, Time  0.231004
2021-09-15 02:18:37.477279 : Epoch  1, Batch    358, Loss  0.644049, Average Loss  0.644125, Time  0.231644
2021-09-15 02:18:39.012019 : Epoch  1, Batch    359, Loss  0.644319, Average Loss  0.644123, Time  0.232118
2021-09-15 02:18:40.561576 : Epoch  1, Batch    360, Loss  0.652399, Average Loss  0.644102, Time  0.232263
2021-09-15 02:18:42.097675 : Epoch  1, Batch    361, Loss  0.637947, Average Loss  0.644054, Time  0.230985
2021-09-15 02:18:43.640885 : Epoch  1, Batch    362, Loss  0.641919, Average Loss  0.644013, Time  0.231532
2021-09-15 02:18:45.185945 : Epoch  1, Batch    363, Loss  0.648708, Average Loss  0.644061, Time  0.231701
2021-09-15 02:18:46.718599 : Epoch  1, Batch    364, Loss  0.637928, Average Loss  0.644030, Time  0.230838
2021-09-15 02:18:48.262408 : Epoch  1, Batch    365, Loss  0.651897, Average Loss  0.644089, Time  0.231529
2021-09-15 02:18:49.804244 : Epoch  1, Batch    366, Loss  0.637362, Average Loss  0.644067, Time  0.231195
2021-09-15 02:18:51.350303 : Epoch  1, Batch    367, Loss  0.641338, Average Loss  0.644002, Time  0.231940
2021-09-15 02:18:52.890854 : Epoch  1, Batch    368, Loss  0.646546, Average Loss  0.643991, Time  0.231942
2021-09-15 02:18:54.456797 : Epoch  1, Batch    369, Loss  0.657351, Average Loss  0.644085, Time  0.231423
2021-09-15 02:18:55.988413 : Epoch  1, Batch    370, Loss  0.637763, Average Loss  0.644032, Time  0.231164
2021-09-15 02:18:59.911965 : Epoch  1, Batch    371, Loss  0.650660, Average Loss  0.644055, Time  0.269425
2021-09-15 02:19:01.467502 : Epoch  1, Batch    372, Loss  0.637164, Average Loss  0.643988, Time  0.247508
2021-09-15 02:19:03.014807 : Epoch  1, Batch    373, Loss  0.643515, Average Loss  0.644016, Time  0.230968
2021-09-15 02:19:04.546674 : Epoch  1, Batch    374, Loss  0.647245, Average Loss  0.644031, Time  0.230849
2021-09-15 02:19:06.079217 : Epoch  1, Batch    375, Loss  0.644804, Average Loss  0.644007, Time  0.231007
2021-09-15 02:19:07.604693 : Epoch  1, Batch    376, Loss  0.644644, Average Loss  0.644043, Time  0.230608
2021-09-15 02:19:09.155196 : Epoch  1, Batch    377, Loss  0.648349, Average Loss  0.644018, Time  0.231602
2021-09-15 02:19:10.690007 : Epoch  1, Batch    378, Loss  0.638654, Average Loss  0.643963, Time  0.230776
2021-09-15 02:19:12.253378 : Epoch  1, Batch    379, Loss  0.650201, Average Loss  0.643993, Time  0.230134
2021-09-15 02:19:13.784943 : Epoch  1, Batch    380, Loss  0.645011, Average Loss  0.644017, Time  0.230584
2021-09-15 02:19:15.319511 : Epoch  1, Batch    381, Loss  0.644797, Average Loss  0.643995, Time  0.230947
2021-09-15 02:19:16.858081 : Epoch  1, Batch    382, Loss  0.633589, Average Loss  0.643964, Time  0.231531
2021-09-15 02:19:18.398445 : Epoch  1, Batch    383, Loss  0.629449, Average Loss  0.643865, Time  0.231282
2021-09-15 02:19:19.939127 : Epoch  1, Batch    384, Loss  0.637579, Average Loss  0.643809, Time  0.231439
2021-09-15 02:19:21.476073 : Epoch  1, Batch    385, Loss  0.642470, Average Loss  0.643760, Time  0.231481
2021-09-15 02:19:23.017161 : Epoch  1, Batch    386, Loss  0.643875, Average Loss  0.643761, Time  0.231592
2021-09-15 02:19:24.556904 : Epoch  1, Batch    387, Loss  0.646756, Average Loss  0.643736, Time  0.231187
2021-09-15 02:19:26.094590 : Epoch  1, Batch    388, Loss  0.635290, Average Loss  0.643656, Time  0.231475
2021-09-15 02:19:27.622855 : Epoch  1, Batch    389, Loss  0.642087, Average Loss  0.643608, Time  0.230787
2021-09-15 02:19:29.156821 : Epoch  1, Batch    390, Loss  0.648819, Average Loss  0.643607, Time  0.231938
2021-09-15 02:19:30.689588 : Epoch  1, Batch    391, Loss  0.649243, Average Loss  0.643603, Time  0.231080
2021-09-15 02:19:32.218221 : Epoch  1, Batch    392, Loss  0.641411, Average Loss  0.643590, Time  0.231194
2021-09-15 02:19:33.756065 : Epoch  1, Batch    393, Loss  0.639775, Average Loss  0.643547, Time  0.231294
2021-09-15 02:19:35.297076 : Epoch  1, Batch    394, Loss  0.629431, Average Loss  0.643464, Time  0.230643
2021-09-15 02:19:36.827495 : Epoch  1, Batch    395, Loss  0.639590, Average Loss  0.643444, Time  0.231098
2021-09-15 02:19:38.365333 : Epoch  1, Batch    396, Loss  0.641199, Average Loss  0.643363, Time  0.231221
2021-09-15 02:19:39.904155 : Epoch  1, Batch    397, Loss  0.647176, Average Loss  0.643303, Time  0.233935
2021-09-15 02:19:41.446560 : Epoch  1, Batch    398, Loss  0.648798, Average Loss  0.643319, Time  0.231960
2021-09-15 02:19:43.003831 : Epoch  1, Batch    399, Loss  0.639793, Average Loss  0.643277, Time  0.235494
2021-09-15 02:19:44.538116 : Epoch  1, Batch    400, Loss  0.653529, Average Loss  0.643258, Time  0.231151
2021-09-15 02:20:42.210564 : CheckPoint: Validation Loss  0.00027349, Best Loss  0.00026632
2021-09-15 02:20:43.759817 : Epoch  1, Batch    401, Loss  0.644873, Average Loss  0.643254, Time  0.230861
2021-09-15 02:20:45.305869 : Epoch  1, Batch    402, Loss  0.645641, Average Loss  0.643236, Time  0.231062
2021-09-15 02:20:46.860064 : Epoch  1, Batch    403, Loss  0.642288, Average Loss  0.643214, Time  0.231605
2021-09-15 02:20:48.398321 : Epoch  1, Batch    404, Loss  0.654801, Average Loss  0.643251, Time  0.231359
2021-09-15 02:20:49.941178 : Epoch  1, Batch    405, Loss  0.626875, Average Loss  0.643212, Time  0.231276
2021-09-15 02:20:51.490133 : Epoch  1, Batch    406, Loss  0.634641, Average Loss  0.643146, Time  0.231489
2021-09-15 02:20:53.034398 : Epoch  1, Batch    407, Loss  0.637286, Average Loss  0.643085, Time  0.232074
2021-09-15 02:20:54.028160 : CheckPoint: Validation Loss  0.00048970, Best Loss  0.00048970
2021-09-15 02:20:54.056645 : Best Model Updated
2021-09-15 02:20:54.586356 : Epoch  1, Batch    408, Loss  0.644657, Average Loss  0.643094, Time  0.233208
2021-09-15 02:20:56.134260 : Epoch  1, Batch    409, Loss  0.643118, Average Loss  0.643068, Time  0.232608
2021-09-15 02:20:57.674877 : Epoch  1, Batch    410, Loss  0.631110, Average Loss  0.643010, Time  0.231362
2021-09-15 02:20:57.917794 : Epoch  1, Batch    101, Loss  1.532500, Average Loss  1.675537, Time  0.266605
2021-09-15 02:20:59.211533 : Epoch  1, Batch    411, Loss  0.648277, Average Loss  0.643005, Time  0.231409
2021-09-15 02:21:00.764368 : Epoch  1, Batch    412, Loss  0.637826, Average Loss  0.642985, Time  0.231200
2021-09-15 02:21:00.894141 : Epoch  1, Batch    102, Loss  1.464280, Average Loss  1.673466, Time  0.265257
2021-09-15 02:21:02.318999 : Epoch  1, Batch    413, Loss  0.641726, Average Loss  0.642916, Time  0.231320
2021-09-15 02:21:03.860915 : Epoch  1, Batch    414, Loss  0.649056, Average Loss  0.642955, Time  0.231231
2021-09-15 02:21:03.870808 : Epoch  1, Batch    103, Loss  1.457021, Average Loss  1.671365, Time  0.264822
2021-09-15 02:21:05.399102 : Epoch  1, Batch    415, Loss  0.635278, Average Loss  0.642916, Time  0.231246
2021-09-15 02:21:06.885977 : Epoch  1, Batch    104, Loss  1.457858, Average Loss  1.669312, Time  0.264364
2021-09-15 02:21:06.947821 : Epoch  1, Batch    416, Loss  0.645371, Average Loss  0.642910, Time  0.231171
2021-09-15 02:21:08.483311 : Epoch  1, Batch    417, Loss  0.640313, Average Loss  0.642930, Time  0.230537
2021-09-15 02:21:09.907321 : Epoch  1, Batch    105, Loss  1.434684, Average Loss  1.667077, Time  0.277892
2021-09-15 02:21:10.011690 : Epoch  1, Batch    418, Loss  0.636501, Average Loss  0.642875, Time  0.230981
2021-09-15 02:21:11.530535 : Epoch  1, Batch    419, Loss  0.634546, Average Loss  0.642825, Time  0.229923
2021-09-15 02:21:12.937723 : Epoch  1, Batch    106, Loss  1.423554, Average Loss  1.664780, Time  0.265609
2021-09-15 02:21:13.063118 : Epoch  1, Batch    420, Loss  0.649025, Average Loss  0.642851, Time  0.233374
2021-09-15 02:21:14.588704 : Epoch  1, Batch    421, Loss  0.633954, Average Loss  0.642841, Time  0.230293
2021-09-15 02:21:15.947852 : Epoch  1, Batch    107, Loss  1.414419, Average Loss  1.662440, Time  0.264413
2021-09-15 02:21:16.117203 : Epoch  1, Batch    422, Loss  0.647398, Average Loss  0.642831, Time  0.230531
2021-09-15 02:21:17.648446 : Epoch  1, Batch    423, Loss  0.643636, Average Loss  0.642800, Time  0.231524
2021-09-15 02:21:18.936796 : Epoch  1, Batch    108, Loss  1.407819, Average Loss  1.660082, Time  0.264465
2021-09-15 02:21:19.184220 : Epoch  1, Batch    424, Loss  0.638361, Average Loss  0.642748, Time  0.230886
2021-09-15 02:21:20.716864 : Epoch  1, Batch    425, Loss  0.648226, Average Loss  0.642766, Time  0.231307
2021-09-15 02:21:21.947651 : Epoch  1, Batch    109, Loss  1.384590, Average Loss  1.657555, Time  0.266839
2021-09-15 02:21:22.258284 : Epoch  1, Batch    426, Loss  0.643128, Average Loss  0.642765, Time  0.230770
2021-09-15 02:21:23.791658 : Epoch  1, Batch    427, Loss  0.644812, Average Loss  0.642793, Time  0.231945
2021-09-15 02:21:24.979329 : Epoch  1, Batch    110, Loss  1.408252, Average Loss  1.655288, Time  0.265410
2021-09-15 02:21:25.329410 : Epoch  1, Batch    428, Loss  0.636239, Average Loss  0.642751, Time  0.231424
2021-09-15 02:21:26.861414 : Epoch  1, Batch    429, Loss  0.635674, Average Loss  0.642764, Time  0.231048
2021-09-15 02:21:27.992822 : Epoch  1, Batch    111, Loss  1.375330, Average Loss  1.652766, Time  0.265109
2021-09-15 02:21:28.409819 : Epoch  1, Batch    430, Loss  0.645406, Average Loss  0.642764, Time  0.230721
2021-09-15 02:21:29.955605 : Epoch  1, Batch    431, Loss  0.634982, Average Loss  0.642718, Time  0.231896
2021-09-15 02:21:30.989115 : Epoch  1, Batch    112, Loss  1.359516, Average Loss  1.650148, Time  0.265579
2021-09-15 02:21:31.502365 : Epoch  1, Batch    432, Loss  0.644560, Average Loss  0.642693, Time  0.230787
2021-09-15 02:21:33.030348 : Epoch  1, Batch    433, Loss  0.640058, Average Loss  0.642651, Time  0.230878
2021-09-15 02:21:33.988557 : Epoch  1, Batch    113, Loss  1.372160, Average Loss  1.647688, Time  0.265881
2021-09-15 02:21:34.561642 : Epoch  1, Batch    434, Loss  0.649600, Average Loss  0.642716, Time  0.230747
2021-09-15 02:21:36.110477 : Epoch  1, Batch    435, Loss  0.651200, Average Loss  0.642778, Time  0.231598
2021-09-15 02:21:36.990930 : Epoch  1, Batch    114, Loss  1.359887, Average Loss  1.645163, Time  0.265721
2021-09-15 02:21:37.659353 : Epoch  1, Batch    436, Loss  0.637700, Average Loss  0.642777, Time  0.230625
2021-09-15 02:21:39.197405 : Epoch  1, Batch    437, Loss  0.641389, Average Loss  0.642779, Time  0.230927
2021-09-15 02:21:40.010727 : Epoch  1, Batch    115, Loss  1.343938, Average Loss  1.642544, Time  0.264439
2021-09-15 02:21:40.731670 : Epoch  1, Batch    438, Loss  0.641669, Average Loss  0.642778, Time  0.230939
2021-09-15 02:21:42.269955 : Epoch  1, Batch    439, Loss  0.642255, Average Loss  0.642808, Time  0.231666
2021-09-15 02:21:43.041189 : Epoch  1, Batch    116, Loss  1.327442, Average Loss  1.639828, Time  0.265251
2021-09-15 02:21:43.803224 : Epoch  1, Batch    440, Loss  0.649198, Average Loss  0.642806, Time  0.231027
2021-09-15 02:21:45.329749 : Epoch  1, Batch    441, Loss  0.639302, Average Loss  0.642787, Time  0.233924
2021-09-15 02:21:46.034339 : Epoch  1, Batch    117, Loss  1.337237, Average Loss  1.637241, Time  0.265298
2021-09-15 02:21:46.872294 : Epoch  1, Batch    442, Loss  0.648678, Average Loss  0.642811, Time  0.231978
2021-09-15 02:21:48.406605 : Epoch  1, Batch    443, Loss  0.643514, Average Loss  0.642822, Time  0.232180
2021-09-15 02:21:49.061973 : Epoch  1, Batch    118, Loss  1.339559, Average Loss  1.634719, Time  0.265443
2021-09-15 02:21:49.957899 : Epoch  1, Batch    444, Loss  0.648545, Average Loss  0.642851, Time  0.231663
2021-09-15 02:21:51.510224 : Epoch  1, Batch    445, Loss  0.639365, Average Loss  0.642805, Time  0.232618
2021-09-15 02:21:52.105239 : Epoch  1, Batch    119, Loss  1.335282, Average Loss  1.632202, Time  0.266044
2021-09-15 02:21:53.059765 : Epoch  1, Batch    446, Loss  0.652881, Average Loss  0.642871, Time  0.231144
2021-09-15 02:21:54.594919 : Epoch  1, Batch    447, Loss  0.652962, Average Loss  0.642912, Time  0.230916
2021-09-15 02:21:55.158747 : Epoch  1, Batch    120, Loss  1.318542, Average Loss  1.629589, Time  0.273128
2021-09-15 02:21:56.125008 : Epoch  1, Batch    448, Loss  0.638204, Average Loss  0.642917, Time  0.231697
2021-09-15 02:21:57.658922 : Epoch  1, Batch    449, Loss  0.636082, Average Loss  0.642888, Time  0.231263
2021-09-15 02:21:58.184666 : Epoch  1, Batch    121, Loss  1.298066, Average Loss  1.626849, Time  0.264889
2021-09-15 02:21:59.195872 : Epoch  1, Batch    450, Loss  0.643790, Average Loss  0.642874, Time  0.232567
2021-09-15 02:22:00.728262 : Epoch  1, Batch    451, Loss  0.644681, Average Loss  0.642870, Time  0.232601
2021-09-15 02:22:01.179993 : Epoch  1, Batch    122, Loss  1.306140, Average Loss  1.624220, Time  0.265409
2021-09-15 02:22:02.265661 : Epoch  1, Batch    452, Loss  0.653258, Average Loss  0.642882, Time  0.232918
2021-09-15 02:22:03.805376 : Epoch  1, Batch    453, Loss  0.643452, Average Loss  0.642899, Time  0.232281
2021-09-15 02:22:04.207451 : Epoch  1, Batch    123, Loss  1.313230, Average Loss  1.621692, Time  0.266104
2021-09-15 02:22:05.347123 : Epoch  1, Batch    454, Loss  0.653738, Average Loss  0.642920, Time  0.232326
2021-09-15 02:22:06.890643 : Epoch  1, Batch    455, Loss  0.638259, Average Loss  0.642870, Time  0.233175
2021-09-15 02:22:07.191727 : Epoch  1, Batch    124, Loss  1.275019, Average Loss  1.618896, Time  0.264809
2021-09-15 02:22:08.424650 : Epoch  1, Batch    456, Loss  0.640422, Average Loss  0.642861, Time  0.231402
2021-09-15 02:22:09.967955 : Epoch  1, Batch    457, Loss  0.641099, Average Loss  0.642844, Time  0.233120
2021-09-15 02:22:10.182671 : Epoch  1, Batch    125, Loss  1.282799, Average Loss  1.616207, Time  0.265281
2021-09-15 02:22:11.505363 : Epoch  1, Batch    458, Loss  0.643001, Average Loss  0.642831, Time  0.232021
2021-09-15 02:22:13.051885 : Epoch  1, Batch    459, Loss  0.630841, Average Loss  0.642814, Time  0.232814
2021-09-15 02:22:13.164410 : Epoch  1, Batch    126, Loss  1.275552, Average Loss  1.613503, Time  0.265599
2021-09-15 02:22:14.581961 : Epoch  1, Batch    460, Loss  0.638627, Average Loss  0.642795, Time  0.232744
2021-09-15 02:22:16.126401 : Epoch  1, Batch    461, Loss  0.644270, Average Loss  0.642789, Time  0.232666
2021-09-15 02:22:16.159258 : Epoch  1, Batch    127, Loss  1.283367, Average Loss  1.610904, Time  0.265284
2021-09-15 02:22:17.660287 : Epoch  1, Batch    462, Loss  0.646276, Average Loss  0.642832, Time  0.231744
2021-09-15 02:22:19.160839 : Epoch  1, Batch    128, Loss  1.276339, Average Loss  1.608290, Time  0.265760
2021-09-15 02:22:19.201604 : Epoch  1, Batch    463, Loss  0.637858, Average Loss  0.642826, Time  0.232277
2021-09-15 02:22:20.739651 : Epoch  1, Batch    464, Loss  0.636595, Average Loss  0.642805, Time  0.233277
2021-09-15 02:22:22.149469 : Epoch  1, Batch    129, Loss  1.279978, Average Loss  1.605745, Time  0.266620
2021-09-15 02:22:22.279077 : Epoch  1, Batch    465, Loss  0.626062, Average Loss  0.642706, Time  0.231405
2021-09-15 02:22:23.819854 : Epoch  1, Batch    466, Loss  0.643271, Average Loss  0.642705, Time  0.233329
2021-09-15 02:22:25.126319 : Epoch  1, Batch    130, Loss  1.273981, Average Loss  1.603193, Time  0.264965
2021-09-15 02:22:25.365024 : Epoch  1, Batch    467, Loss  0.651934, Average Loss  0.642748, Time  0.231322
2021-09-15 02:22:26.905135 : Epoch  1, Batch    468, Loss  0.640232, Average Loss  0.642807, Time  0.231517
2021-09-15 02:22:28.121263 : Epoch  1, Batch    131, Loss  1.255581, Average Loss  1.600540, Time  0.265520
2021-09-15 02:22:28.448043 : Epoch  1, Batch    469, Loss  0.633913, Average Loss  0.642779, Time  0.233248
2021-09-15 02:22:29.998311 : Epoch  1, Batch    470, Loss  0.644184, Average Loss  0.642746, Time  0.231500
2021-09-15 02:22:31.114362 : Epoch  1, Batch    132, Loss  1.262594, Average Loss  1.597979, Time  0.265796
2021-09-15 02:22:33.923704 : Epoch  1, Batch    471, Loss  0.630036, Average Loss  0.642680, Time  0.263052
2021-09-15 02:22:34.118941 : Epoch  1, Batch    133, Loss  1.259213, Average Loss  1.595432, Time  0.265230
2021-09-15 02:22:35.467148 : Epoch  1, Batch    472, Loss  0.626567, Average Loss  0.642597, Time  0.238512
2021-09-15 02:22:37.010124 : Epoch  1, Batch    473, Loss  0.640851, Average Loss  0.642586, Time  0.231002
2021-09-15 02:22:37.138667 : Epoch  1, Batch    134, Loss  1.250322, Average Loss  1.592857, Time  0.265500
2021-09-15 02:22:38.541419 : Epoch  1, Batch    474, Loss  0.632664, Average Loss  0.642553, Time  0.230981
2021-09-15 02:22:40.084347 : Epoch  1, Batch    475, Loss  0.646256, Average Loss  0.642537, Time  0.231148
2021-09-15 02:22:40.152651 : Epoch  1, Batch    135, Loss  1.258735, Average Loss  1.590382, Time  0.277127
2021-09-15 02:22:41.650577 : Epoch  1, Batch    476, Loss  0.648378, Average Loss  0.642524, Time  0.232224
2021-09-15 02:22:43.153743 : Epoch  1, Batch    136, Loss  1.204283, Average Loss  1.587543, Time  0.265610
2021-09-15 02:22:43.192940 : Epoch  1, Batch    477, Loss  0.645950, Average Loss  0.642470, Time  0.231296
2021-09-15 02:22:44.743024 : Epoch  1, Batch    478, Loss  0.642256, Average Loss  0.642496, Time  0.231663
2021-09-15 02:22:46.163827 : Epoch  1, Batch    137, Loss  1.214565, Average Loss  1.584820, Time  0.264836
2021-09-15 02:22:46.289863 : Epoch  1, Batch    479, Loss  0.642618, Average Loss  0.642460, Time  0.232929
2021-09-15 02:22:47.820904 : Epoch  1, Batch    480, Loss  0.640963, Average Loss  0.642435, Time  0.231296
2021-09-15 02:22:49.191494 : Epoch  1, Batch    138, Loss  1.205139, Average Loss  1.582069, Time  0.265947
2021-09-15 02:22:49.362874 : Epoch  1, Batch    481, Loss  0.635576, Average Loss  0.642383, Time  0.231330
2021-09-15 02:22:50.904466 : Epoch  1, Batch    482, Loss  0.641679, Average Loss  0.642387, Time  0.231685
2021-09-15 02:22:52.210978 : Epoch  1, Batch    139, Loss  1.178643, Average Loss  1.579167, Time  0.265037
2021-09-15 02:22:52.439962 : Epoch  1, Batch    483, Loss  0.645976, Average Loss  0.642369, Time  0.231943
2021-09-15 02:22:53.978110 : Epoch  1, Batch    484, Loss  0.644578, Average Loss  0.642385, Time  0.231933
2021-09-15 02:22:55.272865 : Epoch  1, Batch    140, Loss  1.181963, Average Loss  1.576330, Time  0.266609
2021-09-15 02:22:55.513861 : Epoch  1, Batch    485, Loss  0.638768, Average Loss  0.642360, Time  0.231770
2021-09-15 02:22:57.060843 : Epoch  1, Batch    486, Loss  0.636976, Average Loss  0.642352, Time  0.230824
2021-09-15 02:22:58.300319 : Epoch  1, Batch    141, Loss  1.193529, Average Loss  1.573615, Time  0.264550
2021-09-15 02:22:58.629689 : Epoch  1, Batch    487, Loss  0.641295, Average Loss  0.642296, Time  0.231323
2021-09-15 02:23:00.172162 : Epoch  1, Batch    488, Loss  0.633272, Average Loss  0.642282, Time  0.232625
2021-09-15 02:23:01.298886 : Epoch  1, Batch    142, Loss  1.178120, Average Loss  1.570829, Time  0.265037
2021-09-15 02:23:01.738869 : Epoch  1, Batch    489, Loss  0.644755, Average Loss  0.642299, Time  0.232019
2021-09-15 02:23:03.298420 : Epoch  1, Batch    490, Loss  0.641712, Average Loss  0.642322, Time  0.232790
2021-09-15 02:23:04.304799 : Epoch  1, Batch    143, Loss  1.179420, Average Loss  1.568092, Time  0.264822
2021-09-15 02:23:04.852949 : Epoch  1, Batch    491, Loss  0.643318, Average Loss  0.642362, Time  0.231287
2021-09-15 02:23:06.423110 : Epoch  1, Batch    492, Loss  0.644409, Average Loss  0.642377, Time  0.231954
2021-09-15 02:23:07.334091 : Epoch  1, Batch    144, Loss  1.165916, Average Loss  1.565299, Time  0.266729
2021-09-15 02:23:07.977505 : Epoch  1, Batch    493, Loss  0.640319, Average Loss  0.642331, Time  0.231536
2021-09-15 02:23:09.524791 : Epoch  1, Batch    494, Loss  0.643179, Average Loss  0.642320, Time  0.231519
2021-09-15 02:23:10.355035 : Epoch  1, Batch    145, Loss  1.162225, Average Loss  1.562520, Time  0.264814
2021-09-15 02:23:11.068766 : Epoch  1, Batch    495, Loss  0.643716, Average Loss  0.642316, Time  0.231424
2021-09-15 02:23:12.625849 : Epoch  1, Batch    496, Loss  0.644766, Average Loss  0.642316, Time  0.231240
2021-09-15 02:23:13.376192 : Epoch  1, Batch    146, Loss  1.169079, Average Loss  1.559825, Time  0.264324
2021-09-15 02:23:14.187805 : Epoch  1, Batch    497, Loss  0.644981, Average Loss  0.642303, Time  0.231810
2021-09-15 02:23:15.752214 : Epoch  1, Batch    498, Loss  0.633786, Average Loss  0.642234, Time  0.234022
2021-09-15 02:23:16.372747 : Epoch  1, Batch    147, Loss  1.149687, Average Loss  1.557035, Time  0.265738
2021-09-15 02:23:17.320701 : Epoch  1, Batch    499, Loss  0.633801, Average Loss  0.642164, Time  0.230952
2021-09-15 02:23:18.879400 : Epoch  1, Batch    500, Loss  0.642315, Average Loss  0.642109, Time  0.230894
2021-09-15 02:23:19.408155 : Epoch  1, Batch    148, Loss  1.152571, Average Loss  1.554302, Time  0.264961
2021-09-15 02:23:22.419534 : Epoch  1, Batch    149, Loss  1.144472, Average Loss  1.551551, Time  0.266223
2021-09-15 02:23:25.439344 : Epoch  1, Batch    150, Loss  1.118246, Average Loss  1.548663, Time  0.278733
2021-09-15 02:23:28.461920 : Epoch  1, Batch    151, Loss  1.117225, Average Loss  1.545805, Time  0.266876
2021-09-15 02:23:31.480005 : Epoch  1, Batch    152, Loss  1.107459, Average Loss  1.542922, Time  0.265311
2021-09-15 02:23:34.498601 : Epoch  1, Batch    153, Loss  1.102244, Average Loss  1.540041, Time  0.265769
2021-09-15 02:23:37.532611 : Epoch  1, Batch    154, Loss  1.105082, Average Loss  1.537217, Time  0.265653
2021-09-15 02:23:40.528605 : Epoch  1, Batch    155, Loss  1.088078, Average Loss  1.534319, Time  0.265153
2021-09-15 02:23:43.545750 : Epoch  1, Batch    156, Loss  1.086358, Average Loss  1.531448, Time  0.264323
2021-09-15 02:23:46.555047 : Epoch  1, Batch    157, Loss  1.083428, Average Loss  1.528594, Time  0.265607
2021-09-15 02:23:49.556329 : Epoch  1, Batch    158, Loss  1.072581, Average Loss  1.525708, Time  0.265244
2021-09-15 02:23:52.586323 : Epoch  1, Batch    159, Loss  1.092516, Average Loss  1.522983, Time  0.264392
2021-09-15 02:23:55.582106 : Epoch  1, Batch    160, Loss  1.074476, Average Loss  1.520180, Time  0.264375
2021-09-15 02:23:58.567357 : Epoch  1, Batch    161, Loss  1.058174, Average Loss  1.517311, Time  0.265303
2021-09-15 02:24:01.595678 : Epoch  1, Batch    162, Loss  1.047202, Average Loss  1.514409, Time  0.265937
2021-09-15 02:24:04.616969 : Epoch  1, Batch    163, Loss  1.069770, Average Loss  1.511681, Time  0.264383
2021-09-15 02:24:07.615645 : Epoch  1, Batch    164, Loss  1.064089, Average Loss  1.508952, Time  0.265007
2021-09-15 02:24:10.652896 : Epoch  1, Batch    165, Loss  1.053649, Average Loss  1.506192, Time  0.275423
2021-09-15 02:24:13.666754 : Epoch  1, Batch    166, Loss  1.028054, Average Loss  1.503312, Time  0.264912
2021-09-15 02:24:16.646727 : CheckPoint: Validation Loss  0.00026306, Best Loss  0.00026306
2021-09-15 02:24:16.680551 : Best Model Updated
2021-09-15 02:24:16.711199 : Epoch  1, Batch    167, Loss  1.060912, Average Loss  1.500663, Time  0.266209
2021-09-15 02:24:18.938533 : Epoch  1, Batch    501, Loss  0.647628, Average Loss  0.642139, Time  0.231446
2021-09-15 02:24:19.802992 : Epoch  1, Batch    168, Loss  1.045853, Average Loss  1.497956, Time  0.266531
2021-09-15 02:24:20.475729 : Epoch  1, Batch    502, Loss  0.637590, Average Loss  0.642096, Time  0.231250
2021-09-15 02:24:22.018060 : Epoch  1, Batch    503, Loss  0.635320, Average Loss  0.642064, Time  0.231247
2021-09-15 02:24:22.861076 : Epoch  1, Batch    169, Loss  1.036808, Average Loss  1.495227, Time  0.264929
2021-09-15 02:24:23.547687 : Epoch  1, Batch    504, Loss  0.643629, Average Loss  0.642058, Time  0.231208
2021-09-15 02:24:25.089983 : Epoch  1, Batch    505, Loss  0.642618, Average Loss  0.642112, Time  0.231144
2021-09-15 02:24:25.850176 : Epoch  1, Batch    170, Loss  1.031057, Average Loss  1.492497, Time  0.266919
2021-09-15 02:24:26.625888 : Epoch  1, Batch    506, Loss  0.646461, Average Loss  0.642132, Time  0.231198
2021-09-15 02:24:28.165333 : Epoch  1, Batch    507, Loss  0.642527, Average Loss  0.642156, Time  0.231014
2021-09-15 02:24:28.888145 : Epoch  1, Batch    171, Loss  1.026986, Average Loss  1.489774, Time  0.268691
2021-09-15 02:24:29.698052 : Epoch  1, Batch    508, Loss  0.644917, Average Loss  0.642169, Time  0.231735
2021-09-15 02:24:31.234603 : Epoch  1, Batch    509, Loss  0.642529, Average Loss  0.642206, Time  0.231675
2021-09-15 02:24:31.891052 : Epoch  1, Batch    172, Loss  1.023839, Average Loss  1.487065, Time  0.266920
2021-09-15 02:24:32.767012 : Epoch  1, Batch    510, Loss  0.644029, Average Loss  0.642186, Time  0.231798
2021-09-15 02:24:34.295185 : Epoch  1, Batch    511, Loss  0.640300, Average Loss  0.642147, Time  0.231394
2021-09-15 02:24:34.885728 : Epoch  1, Batch    173, Loss  1.027290, Average Loss  1.484408, Time  0.264874
2021-09-15 02:24:35.844371 : Epoch  1, Batch    512, Loss  0.644485, Average Loss  0.642178, Time  0.231716
2021-09-15 02:24:37.381922 : Epoch  1, Batch    513, Loss  0.639008, Average Loss  0.642120, Time  0.231268
2021-09-15 02:24:37.895511 : Epoch  1, Batch    174, Loss  1.024237, Average Loss  1.481763, Time  0.266667
2021-09-15 02:24:38.912601 : Epoch  1, Batch    514, Loss  0.654611, Average Loss  0.642197, Time  0.231441
2021-09-15 02:24:40.456156 : Epoch  1, Batch    515, Loss  0.655346, Average Loss  0.642242, Time  0.231097
2021-09-15 02:24:40.906215 : Epoch  1, Batch    175, Loss  1.005385, Average Loss  1.479041, Time  0.264597
2021-09-15 02:24:41.990187 : Epoch  1, Batch    516, Loss  0.644851, Average Loss  0.642299, Time  0.232427
2021-09-15 02:24:43.527795 : Epoch  1, Batch    517, Loss  0.652882, Average Loss  0.642349, Time  0.231164
2021-09-15 02:24:43.934204 : Epoch  1, Batch    176, Loss  0.991020, Average Loss  1.476268, Time  0.264708
2021-09-15 02:24:45.091515 : Epoch  1, Batch    518, Loss  0.635817, Average Loss  0.642321, Time  0.231299
2021-09-15 02:24:46.633756 : Epoch  1, Batch    519, Loss  0.648437, Average Loss  0.642386, Time  0.232794
2021-09-15 02:24:46.964766 : Epoch  1, Batch    177, Loss  1.014811, Average Loss  1.473661, Time  0.265055
2021-09-15 02:24:48.173677 : Epoch  1, Batch    520, Loss  0.639812, Average Loss  0.642434, Time  0.231569
2021-09-15 02:24:49.713050 : Epoch  1, Batch    521, Loss  0.641419, Average Loss  0.642421, Time  0.231598
2021-09-15 02:24:49.953739 : Epoch  1, Batch    178, Loss  0.999665, Average Loss  1.470998, Time  0.264403
2021-09-15 02:24:51.257901 : Epoch  1, Batch    522, Loss  0.646448, Average Loss  0.642440, Time  0.231023
2021-09-15 02:24:52.813389 : Epoch  1, Batch    523, Loss  0.646138, Average Loss  0.642462, Time  0.230945
2021-09-15 02:24:52.980907 : Epoch  1, Batch    179, Loss  0.989694, Average Loss  1.468309, Time  0.264814
2021-09-15 02:24:54.368402 : Epoch  1, Batch    524, Loss  0.637968, Average Loss  0.642439, Time  0.231717
2021-09-15 02:24:55.906737 : Epoch  1, Batch    525, Loss  0.638875, Average Loss  0.642415, Time  0.231596
2021-09-15 02:24:55.976661 : Epoch  1, Batch    180, Loss  1.001050, Average Loss  1.465713, Time  0.270531
2021-09-15 02:24:57.456088 : Epoch  1, Batch    526, Loss  0.632845, Average Loss  0.642386, Time  0.231711
2021-09-15 02:24:59.010916 : Epoch  1, Batch    527, Loss  0.639011, Average Loss  0.642328, Time  0.232081
2021-09-15 02:24:59.016228 : Epoch  1, Batch    181, Loss  1.009331, Average Loss  1.463192, Time  0.264630
2021-09-15 02:25:00.559166 : Epoch  1, Batch    528, Loss  0.644251, Average Loss  0.642357, Time  0.231643
2021-09-15 02:25:02.100462 : Epoch  1, Batch    182, Loss  0.999123, Average Loss  1.460642, Time  0.264883
2021-09-15 02:25:02.103133 : Epoch  1, Batch    529, Loss  0.633277, Average Loss  0.642343, Time  0.231384
2021-09-15 02:25:03.678440 : Epoch  1, Batch    530, Loss  0.646031, Average Loss  0.642363, Time  0.232397
2021-09-15 02:25:05.122834 : Epoch  1, Batch    183, Loss  1.013748, Average Loss  1.458200, Time  0.265429
2021-09-15 02:25:05.221409 : Epoch  1, Batch    531, Loss  0.643799, Average Loss  0.642358, Time  0.231933
2021-09-15 02:25:06.756744 : Epoch  1, Batch    532, Loss  0.643293, Average Loss  0.642381, Time  0.231339
2021-09-15 02:25:08.130462 : Epoch  1, Batch    184, Loss  0.991716, Average Loss  1.455665, Time  0.264397
2021-09-15 02:25:08.302658 : Epoch  1, Batch    533, Loss  0.646300, Average Loss  0.642417, Time  0.233194
2021-09-15 02:25:09.838674 : Epoch  1, Batch    534, Loss  0.633907, Average Loss  0.642430, Time  0.230871
2021-09-15 02:25:11.117095 : Epoch  1, Batch    185, Loss  0.979246, Average Loss  1.453090, Time  0.264507
2021-09-15 02:25:11.396663 : Epoch  1, Batch    535, Loss  0.651498, Average Loss  0.642448, Time  0.230839
2021-09-15 02:25:12.928874 : Epoch  1, Batch    536, Loss  0.643805, Average Loss  0.642426, Time  0.230342
2021-09-15 02:25:14.104514 : Epoch  1, Batch    186, Loss  0.994265, Average Loss  1.450623, Time  0.265292
2021-09-15 02:25:14.464637 : Epoch  1, Batch    537, Loss  0.637079, Average Loss  0.642370, Time  0.231239
2021-09-15 02:25:15.998734 : Epoch  1, Batch    538, Loss  0.644784, Average Loss  0.642386, Time  0.230904
2021-09-15 02:25:17.129400 : Epoch  1, Batch    187, Loss  1.003434, Average Loss  1.448231, Time  0.264059
2021-09-15 02:25:17.525793 : Epoch  1, Batch    539, Loss  0.642119, Average Loss  0.642378, Time  0.230494
2021-09-15 02:25:19.057389 : Epoch  1, Batch    540, Loss  0.646518, Average Loss  0.642447, Time  0.230410
2021-09-15 02:25:20.127063 : Epoch  1, Batch    188, Loss  0.983063, Average Loss  1.445757, Time  0.265225
2021-09-15 02:25:20.596950 : Epoch  1, Batch    541, Loss  0.640758, Average Loss  0.642435, Time  0.231551
2021-09-15 02:25:22.140334 : Epoch  1, Batch    542, Loss  0.645444, Average Loss  0.642461, Time  0.231646
2021-09-15 02:25:23.168386 : Epoch  1, Batch    189, Loss  0.974216, Average Loss  1.443262, Time  0.266646
2021-09-15 02:25:23.680645 : Epoch  1, Batch    543, Loss  0.634215, Average Loss  0.642374, Time  0.231972
2021-09-15 02:25:25.209291 : Epoch  1, Batch    544, Loss  0.643187, Average Loss  0.642371, Time  0.232281
2021-09-15 02:25:26.224899 : Epoch  1, Batch    190, Loss  0.979923, Average Loss  1.440823, Time  0.267062
2021-09-15 02:25:26.745359 : Epoch  1, Batch    545, Loss  0.641458, Average Loss  0.642339, Time  0.230962
2021-09-15 02:25:28.281204 : Epoch  1, Batch    546, Loss  0.643704, Average Loss  0.642347, Time  0.233092
2021-09-15 02:25:29.272942 : Epoch  1, Batch    191, Loss  0.986486, Average Loss  1.438445, Time  0.265823
2021-09-15 02:25:29.815338 : Epoch  1, Batch    547, Loss  0.641341, Average Loss  0.642338, Time  0.231424
2021-09-15 02:25:31.360749 : Epoch  1, Batch    548, Loss  0.641954, Average Loss  0.642310, Time  0.231022
2021-09-15 02:25:32.272689 : Epoch  1, Batch    192, Loss  0.996137, Average Loss  1.436141, Time  0.265829
2021-09-15 02:25:32.889691 : Epoch  1, Batch    549, Loss  0.646710, Average Loss  0.642334, Time  0.231215
2021-09-15 02:25:34.422181 : Epoch  1, Batch    550, Loss  0.637989, Average Loss  0.642341, Time  0.230710
2021-09-15 02:25:35.264816 : Epoch  1, Batch    193, Loss  0.974732, Average Loss  1.433750, Time  0.265612
2021-09-15 02:25:35.980099 : Epoch  1, Batch    551, Loss  0.644084, Average Loss  0.642360, Time  0.231585
2021-09-15 02:25:37.520189 : Epoch  1, Batch    552, Loss  0.643329, Average Loss  0.642390, Time  0.231184
2021-09-15 02:25:38.287640 : Epoch  1, Batch    194, Loss  0.947827, Average Loss  1.431246, Time  0.265430
2021-09-15 02:25:39.055838 : Epoch  1, Batch    553, Loss  0.648196, Average Loss  0.642362, Time  0.230937
2021-09-15 02:25:40.580885 : Epoch  1, Batch    554, Loss  0.646592, Average Loss  0.642389, Time  0.230597
2021-09-15 02:25:41.319999 : Epoch  1, Batch    195, Loss  1.001655, Average Loss  1.429043, Time  0.278460
2021-09-15 02:25:42.107569 : Epoch  1, Batch    555, Loss  0.643507, Average Loss  0.642450, Time  0.230663
2021-09-15 02:25:43.649319 : Epoch  1, Batch    556, Loss  0.636979, Average Loss  0.642362, Time  0.230842
2021-09-15 02:25:44.381689 : Epoch  1, Batch    196, Loss  0.971937, Average Loss  1.426710, Time  0.266611
2021-09-15 02:25:45.186226 : Epoch  1, Batch    557, Loss  0.632334, Average Loss  0.642310, Time  0.231194
2021-09-15 02:25:46.722733 : Epoch  1, Batch    558, Loss  0.641254, Average Loss  0.642296, Time  0.230685
2021-09-15 02:25:47.411871 : Epoch  1, Batch    197, Loss  0.972159, Average Loss  1.424403, Time  0.264742
2021-09-15 02:25:48.277050 : Epoch  1, Batch    559, Loss  0.648178, Average Loss  0.642315, Time  0.234740
2021-09-15 02:25:49.811764 : Epoch  1, Batch    560, Loss  0.644313, Average Loss  0.642275, Time  0.231012
2021-09-15 02:25:50.414732 : Epoch  1, Batch    198, Loss  0.973288, Average Loss  1.422125, Time  0.267451
2021-09-15 02:25:51.341835 : Epoch  1, Batch    561, Loss  0.654924, Average Loss  0.642360, Time  0.230931
2021-09-15 02:25:52.886196 : Epoch  1, Batch    562, Loss  0.643485, Average Loss  0.642368, Time  0.231579
2021-09-15 02:25:53.405438 : Epoch  1, Batch    199, Loss  0.955048, Average Loss  1.419778, Time  0.264881
2021-09-15 02:25:54.429341 : Epoch  1, Batch    563, Loss  0.632648, Average Loss  0.642287, Time  0.231269
2021-09-15 02:25:55.970970 : Epoch  1, Batch    564, Loss  0.638592, Average Loss  0.642291, Time  0.231282
2021-09-15 02:25:56.434882 : Epoch  1, Batch    200, Loss  0.959955, Average Loss  1.417478, Time  0.264019
2021-09-15 02:25:57.519885 : Epoch  1, Batch    565, Loss  0.630893, Average Loss  0.642186, Time  0.232685
2021-09-15 02:25:59.057548 : Epoch  1, Batch    566, Loss  0.642548, Average Loss  0.642212, Time  0.230765
2021-09-15 02:26:00.591225 : Epoch  1, Batch    567, Loss  0.638570, Average Loss  0.642198, Time  0.231262
2021-09-15 02:26:02.135967 : Epoch  1, Batch    568, Loss  0.638971, Average Loss  0.642160, Time  0.231980
2021-09-15 02:26:03.672923 : Epoch  1, Batch    569, Loss  0.643903, Average Loss  0.642093, Time  0.230553
2021-09-15 02:26:05.204149 : Epoch  1, Batch    570, Loss  0.644184, Average Loss  0.642125, Time  0.230882
2021-09-15 02:26:09.166634 : Epoch  1, Batch    571, Loss  0.639401, Average Loss  0.642069, Time  0.263009
2021-09-15 02:26:10.708129 : Epoch  1, Batch    572, Loss  0.650190, Average Loss  0.642134, Time  0.238508
2021-09-15 02:26:12.231718 : Epoch  1, Batch    573, Loss  0.635140, Average Loss  0.642092, Time  0.230938
2021-09-15 02:26:13.770152 : Epoch  1, Batch    574, Loss  0.643544, Average Loss  0.642073, Time  0.232884
2021-09-15 02:26:15.296717 : Epoch  1, Batch    575, Loss  0.638003, Average Loss  0.642039, Time  0.231370
2021-09-15 02:26:16.833504 : Epoch  1, Batch    576, Loss  0.655143, Average Loss  0.642092, Time  0.231035
2021-09-15 02:26:18.372259 : Epoch  1, Batch    577, Loss  0.628346, Average Loss  0.641992, Time  0.233858
2021-09-15 02:26:19.904988 : Epoch  1, Batch    578, Loss  0.642042, Average Loss  0.642009, Time  0.231045
2021-09-15 02:26:21.443040 : Epoch  1, Batch    579, Loss  0.640540, Average Loss  0.641960, Time  0.231202
2021-09-15 02:26:22.970935 : Epoch  1, Batch    580, Loss  0.638914, Average Loss  0.641930, Time  0.232666
2021-09-15 02:26:24.508752 : Epoch  1, Batch    581, Loss  0.637331, Average Loss  0.641893, Time  0.231905
2021-09-15 02:26:26.051214 : Epoch  1, Batch    582, Loss  0.639451, Average Loss  0.641922, Time  0.231950
2021-09-15 02:26:27.607859 : Epoch  1, Batch    583, Loss  0.645210, Average Loss  0.642001, Time  0.231172
2021-09-15 02:26:29.140912 : Epoch  1, Batch    584, Loss  0.636092, Average Loss  0.641993, Time  0.231441
2021-09-15 02:26:30.678553 : Epoch  1, Batch    585, Loss  0.640138, Average Loss  0.641982, Time  0.232179
2021-09-15 02:26:32.239197 : Epoch  1, Batch    586, Loss  0.644941, Average Loss  0.641987, Time  0.242768
2021-09-15 02:26:33.771924 : Epoch  1, Batch    587, Loss  0.632390, Average Loss  0.641915, Time  0.233947
2021-09-15 02:26:35.329978 : Epoch  1, Batch    588, Loss  0.636470, Average Loss  0.641921, Time  0.231836
2021-09-15 02:26:36.868100 : Epoch  1, Batch    589, Loss  0.637371, Average Loss  0.641897, Time  0.233239
2021-09-15 02:26:38.401053 : Epoch  1, Batch    590, Loss  0.642548, Average Loss  0.641866, Time  0.232081
2021-09-15 02:26:39.935261 : Epoch  1, Batch    591, Loss  0.635130, Average Loss  0.641796, Time  0.231975
2021-09-15 02:26:41.464843 : Epoch  1, Batch    592, Loss  0.635120, Average Loss  0.641764, Time  0.230847
2021-09-15 02:26:42.994938 : Epoch  1, Batch    593, Loss  0.642938, Average Loss  0.641780, Time  0.231237
2021-09-15 02:26:44.531139 : Epoch  1, Batch    594, Loss  0.633010, Average Loss  0.641798, Time  0.230919
2021-09-15 02:26:46.074371 : Epoch  1, Batch    595, Loss  0.646550, Average Loss  0.641833, Time  0.231075
2021-09-15 02:26:47.620639 : Epoch  1, Batch    596, Loss  0.639410, Average Loss  0.641824, Time  0.231093
2021-09-15 02:26:49.157814 : Epoch  1, Batch    597, Loss  0.639104, Average Loss  0.641783, Time  0.231261
2021-09-15 02:26:50.709068 : Epoch  1, Batch    598, Loss  0.635135, Average Loss  0.641715, Time  0.250363
2021-09-15 02:26:52.249463 : Epoch  1, Batch    599, Loss  0.636510, Average Loss  0.641699, Time  0.231404
2021-09-15 02:26:53.784802 : Epoch  1, Batch    600, Loss  0.638988, Average Loss  0.641626, Time  0.230989
2021-09-15 02:27:09.965182 : Building dataset train from orignial text documents
2021-09-15 02:27:51.189698 : CheckPoint: Validation Loss  0.00026419, Best Loss  0.00026306
2021-09-15 02:27:52.737178 : Epoch  1, Batch    601, Loss  0.638796, Average Loss  0.641595, Time  0.232377
2021-09-15 02:27:53.608541 : Building dataset train from orignial text documents
2021-09-15 02:27:54.280101 : Epoch  1, Batch    602, Loss  0.634789, Average Loss  0.641541, Time  0.230695
2021-09-15 02:27:55.822293 : Epoch  1, Batch    603, Loss  0.628805, Average Loss  0.641474, Time  0.230943
2021-09-15 02:27:57.362457 : Epoch  1, Batch    604, Loss  0.641024, Average Loss  0.641405, Time  0.231539
2021-09-15 02:27:58.905356 : Epoch  1, Batch    605, Loss  0.634134, Average Loss  0.641441, Time  0.231115
2021-09-15 02:28:00.437926 : Epoch  1, Batch    606, Loss  0.631659, Average Loss  0.641426, Time  0.231049
2021-09-15 02:28:01.975630 : Epoch  1, Batch    607, Loss  0.623069, Average Loss  0.641355, Time  0.231872
2021-09-15 02:28:03.520631 : Epoch  1, Batch    608, Loss  0.639878, Average Loss  0.641331, Time  0.232924
2021-09-15 02:28:05.063007 : Epoch  1, Batch    609, Loss  0.640019, Average Loss  0.641316, Time  0.231035
2021-09-15 02:28:06.604584 : Epoch  1, Batch    610, Loss  0.640800, Average Loss  0.641364, Time  0.231107
2021-09-15 02:28:08.146384 : Epoch  1, Batch    611, Loss  0.631722, Average Loss  0.641281, Time  0.231862
2021-09-15 02:28:09.693935 : Epoch  1, Batch    612, Loss  0.635228, Average Loss  0.641268, Time  0.231573
2021-09-15 02:28:11.236446 : Epoch  1, Batch    613, Loss  0.634690, Average Loss  0.641233, Time  0.231648
2021-09-15 02:28:12.783114 : Epoch  1, Batch    614, Loss  0.630018, Average Loss  0.641138, Time  0.235076
2021-09-15 02:28:14.330896 : Epoch  1, Batch    615, Loss  0.635323, Average Loss  0.641138, Time  0.232015
2021-09-15 02:28:15.878367 : Epoch  1, Batch    616, Loss  0.641992, Average Loss  0.641121, Time  0.231733
2021-09-15 02:28:17.423078 : Epoch  1, Batch    617, Loss  0.638777, Average Loss  0.641114, Time  0.231291
2021-09-15 02:28:18.963142 : Epoch  1, Batch    618, Loss  0.641945, Average Loss  0.641141, Time  0.232454
2021-09-15 02:28:19.685497 : Finish Loading dataset train
2021-09-15 02:28:19.721574 : Data Shuffle
2021-09-15 02:28:19.752546 : Start Shuffling
2021-09-15 02:28:20.511350 : Epoch  1, Batch    619, Loss  0.642536, Average Loss  0.641181, Time  0.231451
2021-09-15 02:28:20.752998 : Finish Shuffling
2021-09-15 02:28:20.826587 : Generate Batch
2021-09-15 02:28:21.132878 : Building dataset valid from orignial text documents
2021-09-15 02:28:22.055357 : Epoch  1, Batch    620, Loss  0.637447, Average Loss  0.641123, Time  0.231271
2021-09-15 02:28:22.310596 : Finish Loading dataset valid
2021-09-15 02:28:22.355633 : Data Shuffle
2021-09-15 02:28:22.390804 : Start Shuffling
2021-09-15 02:28:22.480070 : Finish Shuffling
2021-09-15 02:28:22.519582 : Generate Batch
2021-09-15 02:28:22.570562 : There are 787 batches per epoch
2021-09-15 02:28:22.609552 : Batch Shuffled
2021-09-15 02:28:23.598538 : Epoch  1, Batch    621, Loss  0.636161, Average Loss  0.641134, Time  0.230805
2021-09-15 02:28:25.145318 : Epoch  1, Batch    622, Loss  0.643353, Average Loss  0.641114, Time  0.232722
2021-09-15 02:28:26.687199 : Epoch  1, Batch    623, Loss  0.639112, Average Loss  0.641091, Time  0.230907
2021-09-15 02:28:28.241156 : Epoch  1, Batch    624, Loss  0.628976, Average Loss  0.641044, Time  0.231218
2021-09-15 02:28:29.788890 : Epoch  1, Batch    625, Loss  0.640343, Average Loss  0.641005, Time  0.231238
2021-09-15 02:28:31.322365 : Epoch  1, Batch    626, Loss  0.628111, Average Loss  0.640930, Time  0.231112
2021-09-15 02:28:32.878013 : Epoch  1, Batch    627, Loss  0.629356, Average Loss  0.640853, Time  0.232033
2021-09-15 02:28:34.422320 : Epoch  1, Batch    628, Loss  0.632916, Average Loss  0.640836, Time  0.231463
2021-09-15 02:28:35.971851 : Epoch  1, Batch    629, Loss  0.636563, Average Loss  0.640840, Time  0.231184
2021-09-15 02:28:37.522110 : Epoch  1, Batch    630, Loss  0.638121, Average Loss  0.640804, Time  0.231518
2021-09-15 02:28:39.068627 : Epoch  1, Batch    631, Loss  0.630613, Average Loss  0.640782, Time  0.231001
2021-09-15 02:28:40.616625 : Epoch  1, Batch    632, Loss  0.639290, Average Loss  0.640756, Time  0.231586
2021-09-15 02:28:42.161275 : Epoch  1, Batch    633, Loss  0.631347, Average Loss  0.640712, Time  0.231785
2021-09-15 02:28:43.710536 : Epoch  1, Batch    634, Loss  0.635994, Average Loss  0.640644, Time  0.232102
2021-09-15 02:28:45.248947 : Epoch  1, Batch    635, Loss  0.632213, Average Loss  0.640549, Time  0.232556
2021-09-15 02:28:46.785883 : Epoch  1, Batch    636, Loss  0.636373, Average Loss  0.640543, Time  0.231808
2021-09-15 02:28:48.325144 : Epoch  1, Batch    637, Loss  0.630531, Average Loss  0.640488, Time  0.231710
2021-09-15 02:28:49.879923 : Epoch  1, Batch    638, Loss  0.633930, Average Loss  0.640450, Time  0.233300
2021-09-15 02:28:51.422594 : Epoch  1, Batch    639, Loss  0.639085, Average Loss  0.640434, Time  0.231593
2021-09-15 02:28:52.961851 : Epoch  1, Batch    640, Loss  0.644905, Average Loss  0.640412, Time  0.231384
2021-09-15 02:28:54.525353 : Epoch  1, Batch    641, Loss  0.636504, Average Loss  0.640398, Time  0.230859
2021-09-15 02:28:56.069316 : Epoch  1, Batch    642, Loss  0.632237, Average Loss  0.640316, Time  0.231041
2021-09-15 02:28:57.626614 : Epoch  1, Batch    643, Loss  0.632206, Average Loss  0.640260, Time  0.231241
2021-09-15 02:28:59.179574 : Epoch  1, Batch    644, Loss  0.635296, Average Loss  0.640193, Time  0.231991
2021-09-15 02:29:00.715676 : Epoch  1, Batch    645, Loss  0.629491, Average Loss  0.640144, Time  0.230839
2021-09-15 02:29:02.252148 : Epoch  1, Batch    646, Loss  0.628604, Average Loss  0.640023, Time  0.231294
2021-09-15 02:29:03.789447 : Epoch  1, Batch    647, Loss  0.617525, Average Loss  0.639845, Time  0.231205
2021-09-15 02:29:05.336668 : Epoch  1, Batch    648, Loss  0.633641, Average Loss  0.639823, Time  0.232718
2021-09-15 02:29:06.879829 : Epoch  1, Batch    649, Loss  0.626457, Average Loss  0.639774, Time  0.231479
2021-09-15 02:29:08.412514 : Epoch  1, Batch    650, Loss  0.637218, Average Loss  0.639742, Time  0.230510
2021-09-15 02:29:09.963849 : Epoch  1, Batch    651, Loss  0.642458, Average Loss  0.639730, Time  0.235853
2021-09-15 02:29:11.508400 : Epoch  1, Batch    652, Loss  0.632390, Average Loss  0.639626, Time  0.231176
2021-09-15 02:29:13.047025 : Epoch  1, Batch    653, Loss  0.639119, Average Loss  0.639604, Time  0.230912
2021-09-15 02:29:14.599425 : Epoch  1, Batch    654, Loss  0.629628, Average Loss  0.639484, Time  0.231823
2021-09-15 02:29:16.142107 : Epoch  1, Batch    655, Loss  0.636349, Average Loss  0.639474, Time  0.231050
2021-09-15 02:29:17.677194 : Epoch  1, Batch    656, Loss  0.625079, Average Loss  0.639398, Time  0.231534
2021-09-15 02:29:19.214277 : Epoch  1, Batch    657, Loss  0.636526, Average Loss  0.639375, Time  0.230794
2021-09-15 02:29:20.740976 : Epoch  1, Batch    658, Loss  0.643065, Average Loss  0.639375, Time  0.230803
2021-09-15 02:29:22.279130 : Epoch  1, Batch    659, Loss  0.645936, Average Loss  0.639451, Time  0.230517
2021-09-15 02:29:23.823919 : Epoch  1, Batch    660, Loss  0.635254, Average Loss  0.639434, Time  0.230628
2021-09-15 02:29:25.365420 : Epoch  1, Batch    661, Loss  0.636129, Average Loss  0.639393, Time  0.230990
2021-09-15 02:29:26.904976 : Epoch  1, Batch    662, Loss  0.626414, Average Loss  0.639294, Time  0.231824
2021-09-15 02:29:28.445278 : Epoch  1, Batch    663, Loss  0.626559, Average Loss  0.639237, Time  0.231415
2021-09-15 02:29:29.981829 : Epoch  1, Batch    664, Loss  0.630637, Average Loss  0.639207, Time  0.232023
2021-09-15 02:29:31.528377 : Epoch  1, Batch    665, Loss  0.637648, Average Loss  0.639265, Time  0.231353
2021-09-15 02:29:33.065407 : Epoch  1, Batch    666, Loss  0.634752, Average Loss  0.639223, Time  0.231091
2021-09-15 02:29:34.597990 : Epoch  1, Batch    667, Loss  0.635096, Average Loss  0.639139, Time  0.231484
2021-09-15 02:29:36.144282 : Epoch  1, Batch    668, Loss  0.626383, Average Loss  0.639069, Time  0.231876
2021-09-15 02:29:37.688399 : Epoch  1, Batch    669, Loss  0.627319, Average Loss  0.639036, Time  0.231790
2021-09-15 02:29:39.225833 : Epoch  1, Batch    670, Loss  0.634224, Average Loss  0.638987, Time  0.232568
2021-09-15 02:29:43.104451 : Epoch  1, Batch    671, Loss  0.613918, Average Loss  0.638906, Time  0.259443
2021-09-15 02:29:44.641847 : Epoch  1, Batch    672, Loss  0.631704, Average Loss  0.638932, Time  0.234903
2021-09-15 02:29:46.173542 : Epoch  1, Batch    673, Loss  0.641824, Average Loss  0.638936, Time  0.230364
2021-09-15 02:29:47.712324 : Epoch  1, Batch    674, Loss  0.630526, Average Loss  0.638926, Time  0.231205
2021-09-15 02:29:49.250555 : Epoch  1, Batch    675, Loss  0.636576, Average Loss  0.638877, Time  0.231510
2021-09-15 02:29:50.788935 : Epoch  1, Batch    676, Loss  0.627499, Average Loss  0.638773, Time  0.232889
2021-09-15 02:29:52.341388 : Epoch  1, Batch    677, Loss  0.625042, Average Loss  0.638668, Time  0.230765
2021-09-15 02:29:53.887823 : Epoch  1, Batch    678, Loss  0.619997, Average Loss  0.638557, Time  0.232580
2021-09-15 02:29:55.424747 : Epoch  1, Batch    679, Loss  0.629948, Average Loss  0.638494, Time  0.230431
2021-09-15 02:29:56.956054 : Epoch  1, Batch    680, Loss  0.618801, Average Loss  0.638383, Time  0.232558
2021-09-15 02:29:58.517201 : Epoch  1, Batch    681, Loss  0.625082, Average Loss  0.638331, Time  0.231521
2021-09-15 02:30:00.058252 : Epoch  1, Batch    682, Loss  0.624696, Average Loss  0.638246, Time  0.230784
2021-09-15 02:30:01.611010 : Epoch  1, Batch    683, Loss  0.630583, Average Loss  0.638169, Time  0.233822
2021-09-15 02:30:03.166380 : Epoch  1, Batch    684, Loss  0.632053, Average Loss  0.638106, Time  0.236417
2021-09-15 02:30:04.725243 : Epoch  1, Batch    685, Loss  0.626915, Average Loss  0.638047, Time  0.232622
2021-09-15 02:30:06.273891 : Epoch  1, Batch    686, Loss  0.626713, Average Loss  0.637995, Time  0.232997
2021-09-15 02:30:07.828951 : Epoch  1, Batch    687, Loss  0.632247, Average Loss  0.637950, Time  0.233276
2021-09-15 02:30:08.849610 : Building dataset train from orignial text documents
2021-09-15 02:30:09.411550 : Epoch  1, Batch    688, Loss  0.639030, Average Loss  0.637979, Time  0.233819
2021-09-15 02:30:10.986459 : Epoch  1, Batch    689, Loss  0.629367, Average Loss  0.637902, Time  0.231853
2021-09-15 02:30:12.545421 : Epoch  1, Batch    690, Loss  0.629606, Average Loss  0.637842, Time  0.232928
2021-09-15 02:30:14.096341 : Epoch  1, Batch    691, Loss  0.625036, Average Loss  0.637750, Time  0.231665
2021-09-15 02:30:15.667092 : Epoch  1, Batch    692, Loss  0.633315, Average Loss  0.637695, Time  0.232231
2021-09-15 02:30:17.230150 : Epoch  1, Batch    693, Loss  0.629663, Average Loss  0.637641, Time  0.233339
2021-09-15 02:30:18.790877 : Epoch  1, Batch    694, Loss  0.623587, Average Loss  0.637543, Time  0.232157
2021-09-15 02:30:20.337703 : Epoch  1, Batch    695, Loss  0.629012, Average Loss  0.637470, Time  0.234771
2021-09-15 02:30:21.885319 : Epoch  1, Batch    696, Loss  0.630736, Average Loss  0.637400, Time  0.233699
2021-09-15 02:30:23.439412 : Epoch  1, Batch    697, Loss  0.629351, Average Loss  0.637322, Time  0.232290
2021-09-15 02:30:24.994045 : Epoch  1, Batch    698, Loss  0.630581, Average Loss  0.637306, Time  0.232521
2021-09-15 02:30:26.543126 : Epoch  1, Batch    699, Loss  0.623480, Average Loss  0.637254, Time  0.232340
2021-09-15 02:30:28.097019 : Epoch  1, Batch    700, Loss  0.631841, Average Loss  0.637202, Time  0.231481
2021-09-15 02:30:33.983362 : Finish Loading dataset train
2021-09-15 02:30:34.022603 : Data Shuffle
2021-09-15 02:30:34.062786 : Start Shuffling
2021-09-15 02:30:35.058456 : Finish Shuffling
2021-09-15 02:30:35.131797 : Generate Batch
2021-09-15 02:30:35.448604 : Building dataset valid from orignial text documents
2021-09-15 02:30:36.535606 : Finish Loading dataset valid
2021-09-15 02:30:36.571618 : Data Shuffle
2021-09-15 02:30:36.614455 : Start Shuffling
2021-09-15 02:30:36.695754 : Finish Shuffling
2021-09-15 02:30:36.727657 : CheckPoint: Validation Loss  0.00032688, Best Loss  0.00032688
2021-09-15 02:30:36.736601 : Generate Batch
2021-09-15 02:30:36.767358 : Best Model Updated
2021-09-15 02:30:36.817605 : There are 787 batches per epoch
2021-09-15 02:30:36.874315 : Batch Shuffled
2021-09-15 02:30:38.609613 : Epoch  1, Batch      1, Loss  1.151999, Average Loss  1.151999, Time  0.460582
2021-09-15 02:30:40.148764 : Epoch  1, Batch      2, Loss  1.147653, Average Loss  1.149826, Time  0.253448
2021-09-15 02:30:40.534968 : Epoch  1, Batch    201, Loss  0.955775, Average Loss  1.413033, Time  0.266692
2021-09-15 02:30:41.671813 : Epoch  1, Batch      3, Loss  1.152355, Average Loss  1.150669, Time  0.236929
2021-09-15 02:30:43.526784 : Epoch  1, Batch    202, Loss  0.944627, Average Loss  1.408538, Time  0.264529
2021-09-15 02:30:46.542480 : Epoch  1, Batch    203, Loss  0.958174, Average Loss  1.404134, Time  0.265709
2021-09-15 02:30:49.580150 : Epoch  1, Batch    204, Loss  0.971130, Average Loss  1.399827, Time  0.264474
2021-09-15 02:30:52.594450 : Epoch  1, Batch    205, Loss  0.963472, Average Loss  1.395477, Time  0.265276
2021-09-15 02:30:54.659793 : Building dataset train from orignial text documents
2021-09-15 02:30:55.624710 : Epoch  1, Batch    206, Loss  0.981739, Average Loss  1.391239, Time  0.265486
2021-09-15 02:30:58.666100 : Epoch  1, Batch    207, Loss  0.955402, Average Loss  1.386891, Time  0.265688
2021-09-15 02:31:01.715983 : Epoch  1, Batch    208, Loss  0.944282, Average Loss  1.382524, Time  0.267083
2021-09-15 02:31:04.726644 : Epoch  1, Batch    209, Loss  0.953263, Average Loss  1.378236, Time  0.264644
2021-09-15 02:31:07.768680 : Epoch  1, Batch    210, Loss  0.932601, Average Loss  1.373916, Time  0.276218
2021-09-15 02:31:10.817543 : Epoch  1, Batch    211, Loss  0.935113, Average Loss  1.369657, Time  0.265910
2021-09-15 02:31:13.902489 : Epoch  1, Batch    212, Loss  0.937332, Average Loss  1.365425, Time  0.264930
2021-09-15 02:31:16.908557 : Epoch  1, Batch    213, Loss  0.957519, Average Loss  1.361331, Time  0.264303
2021-09-15 02:31:19.440574 : Finish Loading dataset train
2021-09-15 02:31:19.472781 : Data Shuffle
2021-09-15 02:31:19.503756 : Start Shuffling
2021-09-15 02:31:19.908936 : Epoch  1, Batch    214, Loss  0.962692, Average Loss  1.357368, Time  0.264619
2021-09-15 02:31:20.484964 : Finish Shuffling
2021-09-15 02:31:20.562016 : Generate Batch
2021-09-15 02:31:20.874824 : Building dataset valid from orignial text documents
2021-09-15 02:31:21.947598 : Finish Loading dataset valid
2021-09-15 02:31:21.982561 : Data Shuffle
2021-09-15 02:31:22.022578 : Start Shuffling
2021-09-15 02:31:22.098132 : Finish Shuffling
2021-09-15 02:31:22.132344 : Generate Batch
2021-09-15 02:31:22.178789 : There are 787 batches per epoch
2021-09-15 02:31:22.211594 : Batch Shuffled
2021-09-15 02:31:22.919654 : Epoch  1, Batch    215, Loss  0.954675, Average Loss  1.353362, Time  0.265977
2021-09-15 02:31:23.974782 : Epoch  1, Batch      1, Loss  1.162198, Average Loss  1.162198, Time  0.483431
2021-09-15 02:31:25.534014 : Epoch  1, Batch      2, Loss  1.165658, Average Loss  1.163928, Time  0.253625
2021-09-15 02:31:25.933738 : Epoch  1, Batch    216, Loss  0.942732, Average Loss  1.349388, Time  0.264415
2021-09-15 02:31:26.348318 : CheckPoint: Validation Loss  0.00025945, Best Loss  0.00025945
2021-09-15 02:31:26.373567 : Best Model Updated
2021-09-15 02:31:27.073956 : Epoch  1, Batch      3, Loss  1.162503, Average Loss  1.163453, Time  0.242312
2021-09-15 02:31:28.742212 : Epoch  1, Batch    701, Loss  0.622974, Average Loss  0.637078, Time  0.271360
2021-09-15 02:31:28.823919 : Epoch  1, Batch      4, Loss  1.155992, Average Loss  1.161588, Time  0.261629
2021-09-15 02:31:28.936036 : Epoch  1, Batch    217, Loss  0.949382, Average Loss  1.345449, Time  0.265124
2021-09-15 02:31:30.316028 : Epoch  1, Batch    702, Loss  0.625249, Average Loss  0.637017, Time  0.249112
2021-09-15 02:31:30.524103 : Epoch  1, Batch      5, Loss  1.156593, Average Loss  1.160589, Time  0.244548
2021-09-15 02:31:31.876518 : Epoch  1, Batch    703, Loss  0.615920, Average Loss  0.636920, Time  0.231514
2021-09-15 02:31:31.949941 : Epoch  1, Batch    218, Loss  0.925310, Average Loss  1.341455, Time  0.266957
2021-09-15 02:31:32.065510 : Epoch  1, Batch      6, Loss  1.149713, Average Loss  1.158776, Time  0.239924
2021-09-15 02:31:33.428066 : Epoch  1, Batch    704, Loss  0.628255, Average Loss  0.636843, Time  0.231931
2021-09-15 02:31:33.613254 : Epoch  1, Batch      7, Loss  1.143054, Average Loss  1.156530, Time  0.238837
2021-09-15 02:31:34.985015 : Epoch  1, Batch    705, Loss  0.625799, Average Loss  0.636759, Time  0.232150
2021-09-15 02:31:34.993180 : Epoch  1, Batch    219, Loss  0.941365, Average Loss  1.337616, Time  0.265419
2021-09-15 02:31:35.153687 : Epoch  1, Batch      8, Loss  1.134148, Average Loss  1.153732, Time  0.238759
2021-09-15 02:31:36.560924 : Epoch  1, Batch    706, Loss  0.632460, Average Loss  0.636689, Time  0.232117
2021-09-15 02:31:36.690124 : Epoch  1, Batch      9, Loss  1.133415, Average Loss  1.151475, Time  0.239484
2021-09-15 02:31:38.014386 : Epoch  1, Batch    220, Loss  0.923429, Average Loss  1.333695, Time  0.265607
2021-09-15 02:31:38.121565 : Epoch  1, Batch    707, Loss  0.625455, Average Loss  0.636603, Time  0.231719
2021-09-15 02:31:38.230254 : Epoch  1, Batch     10, Loss  1.125429, Average Loss  1.148870, Time  0.241444
2021-09-15 02:31:39.660843 : Epoch  1, Batch    708, Loss  0.605790, Average Loss  0.636408, Time  0.231738
2021-09-15 02:31:39.769895 : Epoch  1, Batch     11, Loss  1.111132, Average Loss  1.145440, Time  0.238022
2021-09-15 02:31:41.013294 : Epoch  1, Batch    221, Loss  0.965116, Average Loss  1.329961, Time  0.265079
2021-09-15 02:31:41.208035 : Epoch  1, Batch    709, Loss  0.629424, Average Loss  0.636342, Time  0.231211
2021-09-15 02:31:41.311479 : Epoch  1, Batch     12, Loss  1.099815, Average Loss  1.141638, Time  0.244505
2021-09-15 02:31:42.763332 : Epoch  1, Batch    710, Loss  0.629274, Average Loss  0.636268, Time  0.231059
2021-09-15 02:31:42.829333 : Epoch  1, Batch     13, Loss  1.088330, Average Loss  1.137537, Time  0.238217
2021-09-15 02:31:44.030624 : Epoch  1, Batch    222, Loss  0.944699, Average Loss  1.326122, Time  0.266212
2021-09-15 02:31:44.314692 : Epoch  1, Batch    711, Loss  0.627525, Average Loss  0.636204, Time  0.231988
2021-09-15 02:31:44.357265 : Epoch  1, Batch     14, Loss  1.086463, Average Loss  1.133889, Time  0.239954
2021-09-15 02:31:45.878183 : Epoch  1, Batch    712, Loss  0.632877, Average Loss  0.636146, Time  0.232486
2021-09-15 02:31:45.920072 : Epoch  1, Batch     15, Loss  1.076062, Average Loss  1.130034, Time  0.238560
2021-09-15 02:31:47.032471 : Epoch  1, Batch    223, Loss  0.950974, Average Loss  1.322403, Time  0.264455
2021-09-15 02:31:47.459929 : Epoch  1, Batch    713, Loss  0.627800, Average Loss  0.636090, Time  0.231206
2021-09-15 02:31:47.506087 : Epoch  1, Batch     16, Loss  1.065323, Average Loss  1.125989, Time  0.237494
2021-09-15 02:31:49.032345 : Epoch  1, Batch    714, Loss  0.625458, Average Loss  0.635945, Time  0.231300
2021-09-15 02:31:49.068092 : Epoch  1, Batch     17, Loss  1.060687, Average Loss  1.122148, Time  0.240257
2021-09-15 02:31:50.047844 : Epoch  1, Batch    224, Loss  0.924117, Average Loss  1.318585, Time  0.265077
2021-09-15 02:31:50.619167 : Epoch  1, Batch    715, Loss  0.617707, Average Loss  0.635756, Time  0.233051
2021-09-15 02:31:50.647410 : Epoch  1, Batch     18, Loss  1.055478, Average Loss  1.118444, Time  0.238709
2021-09-15 02:31:52.178480 : Epoch  1, Batch    716, Loss  0.620040, Average Loss  0.635632, Time  0.232568
2021-09-15 02:31:52.202867 : Epoch  1, Batch     19, Loss  1.043906, Average Loss  1.114521, Time  0.238052
2021-09-15 02:31:53.092709 : Epoch  1, Batch    225, Loss  0.942286, Average Loss  1.314801, Time  0.273288
2021-09-15 02:31:53.727039 : Epoch  1, Batch    717, Loss  0.624206, Average Loss  0.635489, Time  0.231154
2021-09-15 02:31:53.766499 : Epoch  1, Batch     20, Loss  1.028905, Average Loss  1.110240, Time  0.236323
2021-09-15 02:31:55.277294 : Epoch  1, Batch    718, Loss  0.628212, Average Loss  0.635451, Time  0.230908
2021-09-15 02:31:55.312293 : Epoch  1, Batch     21, Loss  1.027321, Average Loss  1.106292, Time  0.237568
2021-09-15 02:31:56.106939 : Epoch  1, Batch    226, Loss  0.965190, Average Loss  1.311201, Time  0.265839
2021-09-15 02:31:56.833226 : Epoch  1, Batch     22, Loss  1.025483, Average Loss  1.102619, Time  0.238554
2021-09-15 02:31:56.864617 : Epoch  1, Batch    719, Loss  0.634997, Average Loss  0.635384, Time  0.231575
2021-09-15 02:31:58.366646 : Epoch  1, Batch     23, Loss  1.009848, Average Loss  1.098585, Time  0.237447
2021-09-15 02:31:58.412292 : Epoch  1, Batch    720, Loss  0.637842, Average Loss  0.635374, Time  0.231761
2021-09-15 02:31:59.139661 : Epoch  1, Batch    227, Loss  0.957808, Average Loss  1.307519, Time  0.264262
2021-09-15 02:31:59.902056 : Epoch  1, Batch     24, Loss  1.015750, Average Loss  1.095134, Time  0.237563
2021-09-15 02:31:59.966226 : Epoch  1, Batch    721, Loss  0.633374, Average Loss  0.635334, Time  0.230420
2021-09-15 02:32:01.420459 : Epoch  1, Batch     25, Loss  1.007592, Average Loss  1.091632, Time  0.237033
2021-09-15 02:32:01.511787 : Epoch  1, Batch    722, Loss  0.623674, Average Loss  0.635220, Time  0.230815
2021-09-15 02:32:02.138530 : Epoch  1, Batch    228, Loss  0.913990, Average Loss  1.303660, Time  0.264648
2021-09-15 02:32:02.946779 : Epoch  1, Batch     26, Loss  0.994582, Average Loss  1.087899, Time  0.237532
2021-09-15 02:32:03.066082 : Epoch  1, Batch    723, Loss  0.629573, Average Loss  0.635137, Time  0.231223
2021-09-15 02:32:04.479081 : Epoch  1, Batch     27, Loss  0.999131, Average Loss  1.084612, Time  0.237822
2021-09-15 02:32:04.627335 : Epoch  1, Batch    724, Loss  0.630259, Average Loss  0.635098, Time  0.231240
2021-09-15 02:32:05.140840 : Epoch  1, Batch    229, Loss  0.924844, Average Loss  1.299812, Time  0.265188
2021-09-15 02:32:06.015273 : Epoch  1, Batch     28, Loss  0.992682, Average Loss  1.081328, Time  0.239626
2021-09-15 02:32:06.173894 : Epoch  1, Batch    725, Loss  0.620358, Average Loss  0.635006, Time  0.231439
2021-09-15 02:32:07.547122 : Epoch  1, Batch     29, Loss  0.990893, Average Loss  1.078210, Time  0.239464
2021-09-15 02:32:07.724317 : Epoch  1, Batch    726, Loss  0.619788, Average Loss  0.634941, Time  0.232586
2021-09-15 02:32:08.176389 : Epoch  1, Batch    230, Loss  0.944064, Average Loss  1.296170, Time  0.264999
2021-09-15 02:32:09.072126 : Epoch  1, Batch     30, Loss  0.986764, Average Loss  1.075162, Time  0.238390
2021-09-15 02:32:09.280793 : Epoch  1, Batch    727, Loss  0.627532, Average Loss  0.634883, Time  0.232183
2021-09-15 02:32:10.593752 : Epoch  1, Batch     31, Loss  0.981633, Average Loss  1.072145, Time  0.237086
2021-09-15 02:32:10.837400 : Epoch  1, Batch    728, Loss  0.622193, Average Loss  0.634773, Time  0.232669
2021-09-15 02:32:11.213302 : Epoch  1, Batch    231, Loss  0.948147, Average Loss  1.292484, Time  0.265975
2021-09-15 02:32:12.122169 : Epoch  1, Batch     32, Loss  0.977258, Average Loss  1.069179, Time  0.238373
2021-09-15 02:32:12.392572 : Epoch  1, Batch    729, Loss  0.643763, Average Loss  0.634825, Time  0.231450
2021-09-15 02:32:13.652999 : Epoch  1, Batch     33, Loss  0.978862, Average Loss  1.066442, Time  0.237192
2021-09-15 02:32:13.945653 : Epoch  1, Batch    730, Loss  0.639474, Average Loss  0.634793, Time  0.231704
2021-09-15 02:32:14.212679 : Epoch  1, Batch    232, Loss  0.955982, Average Loss  1.288817, Time  0.264816
2021-09-15 02:32:15.171552 : Epoch  1, Batch     34, Loss  0.975598, Average Loss  1.063771, Time  0.236584
2021-09-15 02:32:15.492979 : Epoch  1, Batch    731, Loss  0.637563, Average Loss  0.634761, Time  0.231383
2021-09-15 02:32:16.701123 : Epoch  1, Batch     35, Loss  0.976773, Average Loss  1.061285, Time  0.238077
2021-09-15 02:32:17.033051 : Epoch  1, Batch    732, Loss  0.626319, Average Loss  0.634677, Time  0.232107
2021-09-15 02:32:17.219154 : Epoch  1, Batch    233, Loss  0.938577, Average Loss  1.285095, Time  0.265032
2021-09-15 02:32:18.249100 : Epoch  1, Batch     36, Loss  0.972681, Average Loss  1.058824, Time  0.239857
2021-09-15 02:32:18.581605 : Epoch  1, Batch    733, Loss  0.626247, Average Loss  0.634576, Time  0.231300
2021-09-15 02:32:19.786863 : Epoch  1, Batch     37, Loss  0.968830, Average Loss  1.056391, Time  0.236960
2021-09-15 02:32:20.126479 : Epoch  1, Batch    734, Loss  0.638170, Average Loss  0.634598, Time  0.231517
2021-09-15 02:32:20.256992 : Epoch  1, Batch    234, Loss  0.932555, Average Loss  1.281516, Time  0.265997
2021-09-15 02:32:21.318337 : Epoch  1, Batch     38, Loss  0.967576, Average Loss  1.054054, Time  0.237056
2021-09-15 02:32:21.662922 : Epoch  1, Batch    735, Loss  0.628696, Average Loss  0.634484, Time  0.231660
2021-09-15 02:32:22.855994 : Epoch  1, Batch     39, Loss  0.966115, Average Loss  1.051799, Time  0.238057
2021-09-15 02:32:23.208411 : Epoch  1, Batch    736, Loss  0.636692, Average Loss  0.634448, Time  0.231004
2021-09-15 02:32:23.286083 : Epoch  1, Batch    235, Loss  0.918173, Average Loss  1.277782, Time  0.264759
2021-09-15 02:32:24.387586 : Epoch  1, Batch     40, Loss  0.972918, Average Loss  1.049827, Time  0.238586
2021-09-15 02:32:24.755005 : Epoch  1, Batch    737, Loss  0.626786, Average Loss  0.634397, Time  0.231826
2021-09-15 02:32:25.913972 : Epoch  1, Batch     41, Loss  0.964841, Average Loss  1.047754, Time  0.237506
2021-09-15 02:32:26.314567 : Epoch  1, Batch    738, Loss  0.619881, Average Loss  0.634272, Time  0.231206
2021-09-15 02:32:26.330847 : Epoch  1, Batch    236, Loss  0.930709, Average Loss  1.274077, Time  0.264402
2021-09-15 02:32:27.441881 : Epoch  1, Batch     42, Loss  0.966839, Average Loss  1.045828, Time  0.239172
2021-09-15 02:32:27.866393 : Epoch  1, Batch    739, Loss  0.632543, Average Loss  0.634224, Time  0.231576
2021-09-15 02:32:28.977938 : Epoch  1, Batch     43, Loss  0.964010, Average Loss  1.043925, Time  0.237420
2021-09-15 02:32:29.375345 : Epoch  1, Batch    237, Loss  0.918557, Average Loss  1.270347, Time  0.265116
2021-09-15 02:32:29.412167 : Epoch  1, Batch    740, Loss  0.626381, Average Loss  0.634123, Time  0.231504
2021-09-15 02:32:30.499978 : Epoch  1, Batch     44, Loss  0.956788, Average Loss  1.041945, Time  0.238157
2021-09-15 02:32:30.964675 : Epoch  1, Batch    741, Loss  0.617422, Average Loss  0.634007, Time  0.231956
2021-09-15 02:32:32.037745 : Epoch  1, Batch     45, Loss  0.961210, Average Loss  1.040151, Time  0.241122
2021-09-15 02:32:32.388106 : Epoch  1, Batch    238, Loss  0.943732, Average Loss  1.266760, Time  0.266695
2021-09-15 02:32:32.503194 : Epoch  1, Batch    742, Loss  0.622944, Average Loss  0.633894, Time  0.231387
2021-09-15 02:32:33.571061 : Epoch  1, Batch     46, Loss  0.959640, Average Loss  1.038400, Time  0.239153
2021-09-15 02:32:34.045640 : Epoch  1, Batch    743, Loss  0.624988, Average Loss  0.633848, Time  0.231093
2021-09-15 02:32:35.107838 : Epoch  1, Batch     47, Loss  0.955129, Average Loss  1.036629, Time  0.238909
2021-09-15 02:32:35.387916 : Epoch  1, Batch    239, Loss  0.921706, Average Loss  1.263023, Time  0.264798
2021-09-15 02:32:35.590238 : Epoch  1, Batch    744, Loss  0.617743, Average Loss  0.633721, Time  0.231114
2021-09-15 02:32:36.637862 : Epoch  1, Batch     48, Loss  0.960528, Average Loss  1.035043, Time  0.237861
2021-09-15 02:32:37.145639 : Epoch  1, Batch    745, Loss  0.620175, Average Loss  0.633614, Time  0.231555
2021-09-15 02:32:38.159870 : Epoch  1, Batch     49, Loss  0.954207, Average Loss  1.033394, Time  0.239013
2021-09-15 02:32:38.396358 : Epoch  1, Batch    240, Loss  0.940897, Average Loss  1.259414, Time  0.272356
2021-09-15 02:32:38.694364 : Epoch  1, Batch    746, Loss  0.620768, Average Loss  0.633500, Time  0.231526
2021-09-15 02:32:39.687488 : Epoch  1, Batch     50, Loss  0.955580, Average Loss  1.031837, Time  0.237547
2021-09-15 02:32:40.239391 : Epoch  1, Batch    747, Loss  0.634988, Average Loss  0.633468, Time  0.231404
2021-09-15 02:32:41.212832 : Epoch  1, Batch     51, Loss  0.954456, Average Loss  1.030320, Time  0.239975
2021-09-15 02:32:41.413493 : Epoch  1, Batch    241, Loss  0.916566, Average Loss  1.255563, Time  0.265328
2021-09-15 02:32:41.801403 : Epoch  1, Batch    748, Loss  0.622157, Average Loss  0.633369, Time  0.231936
2021-09-15 02:32:42.748883 : Epoch  1, Batch     52, Loss  0.953092, Average Loss  1.028835, Time  0.237410
2021-09-15 02:32:43.351006 : Epoch  1, Batch    749, Loss  0.621449, Average Loss  0.633243, Time  0.231613
2021-09-15 02:32:44.269725 : Epoch  1, Batch     53, Loss  0.951875, Average Loss  1.027383, Time  0.238569
2021-09-15 02:32:44.413404 : Epoch  1, Batch    242, Loss  0.915743, Average Loss  1.251881, Time  0.264619
2021-09-15 02:32:44.901113 : Epoch  1, Batch    750, Loss  0.624438, Average Loss  0.633175, Time  0.231451
2021-09-15 02:32:45.798868 : Epoch  1, Batch     54, Loss  0.951685, Average Loss  1.025981, Time  0.237644
2021-09-15 02:32:46.450241 : Epoch  1, Batch    751, Loss  0.626301, Average Loss  0.633086, Time  0.232696
2021-09-15 02:32:47.315846 : Epoch  1, Batch     55, Loss  0.949151, Average Loss  1.024584, Time  0.237856
2021-09-15 02:32:47.432197 : Epoch  1, Batch    243, Loss  0.927680, Average Loss  1.248168, Time  0.264570
2021-09-15 02:32:47.998926 : Epoch  1, Batch    752, Loss  0.630480, Average Loss  0.633022, Time  0.231437
2021-09-15 02:32:48.841731 : Epoch  1, Batch     56, Loss  0.949107, Average Loss  1.023236, Time  0.237535
2021-09-15 02:32:49.559072 : Epoch  1, Batch    753, Loss  0.630554, Average Loss  0.632934, Time  0.231586
2021-09-15 02:32:50.369255 : Epoch  1, Batch     57, Loss  0.947331, Average Loss  1.021905, Time  0.237026
2021-09-15 02:32:50.451603 : Epoch  1, Batch    244, Loss  0.924438, Average Loss  1.244424, Time  0.265139
2021-09-15 02:32:51.115681 : Epoch  1, Batch    754, Loss  0.624995, Average Loss  0.632826, Time  0.231796
2021-09-15 02:32:51.903014 : Epoch  1, Batch     58, Loss  0.945038, Average Loss  1.020579, Time  0.237756
2021-09-15 02:32:52.677045 : Epoch  1, Batch    755, Loss  0.642240, Average Loss  0.632819, Time  0.231427
2021-09-15 02:32:53.435791 : Epoch  1, Batch     59, Loss  0.947349, Average Loss  1.019338, Time  0.237900
2021-09-15 02:32:53.453142 : Epoch  1, Batch    245, Loss  0.927651, Average Loss  1.240870, Time  0.264638
2021-09-15 02:32:54.224438 : Epoch  1, Batch    756, Loss  0.624309, Average Loss  0.632756, Time  0.231174
2021-09-15 02:32:54.962875 : Epoch  1, Batch     60, Loss  0.941984, Average Loss  1.018049, Time  0.237677
2021-09-15 02:32:55.775879 : Epoch  1, Batch    757, Loss  0.615830, Average Loss  0.632673, Time  0.231502
2021-09-15 02:32:56.459379 : Epoch  1, Batch    246, Loss  0.927454, Average Loss  1.237165, Time  0.264354
2021-09-15 02:32:56.487763 : Epoch  1, Batch     61, Loss  0.945514, Average Loss  1.016860, Time  0.237450
2021-09-15 02:32:57.340750 : Epoch  1, Batch    758, Loss  0.625172, Average Loss  0.632593, Time  0.231030
2021-09-15 02:32:58.007524 : Epoch  1, Batch     62, Loss  0.942521, Average Loss  1.015661, Time  0.237170
2021-09-15 02:32:58.909302 : Epoch  1, Batch    759, Loss  0.626244, Average Loss  0.632483, Time  0.231487
2021-09-15 02:32:59.482470 : Epoch  1, Batch    247, Loss  0.937838, Average Loss  1.233551, Time  0.265552
2021-09-15 02:32:59.543880 : Epoch  1, Batch     63, Loss  0.942256, Average Loss  1.014496, Time  0.237359
2021-09-15 02:33:00.486400 : Epoch  1, Batch    760, Loss  0.627191, Average Loss  0.632398, Time  0.232170
2021-09-15 02:33:01.065094 : Epoch  1, Batch     64, Loss  0.937030, Average Loss  1.013285, Time  0.237539
2021-09-15 02:33:02.030009 : Epoch  1, Batch    761, Loss  0.618534, Average Loss  0.632216, Time  0.232134
2021-09-15 02:33:02.485848 : Epoch  1, Batch    248, Loss  0.921439, Average Loss  1.229824, Time  0.265522
2021-09-15 02:33:02.599893 : Epoch  1, Batch     65, Loss  0.943077, Average Loss  1.012205, Time  0.237012
2021-09-15 02:33:03.588069 : Epoch  1, Batch    762, Loss  0.623198, Average Loss  0.632114, Time  0.231909
2021-09-15 02:33:04.122219 : Epoch  1, Batch     66, Loss  0.934041, Average Loss  1.011021, Time  0.236404
2021-09-15 02:33:05.149945 : Epoch  1, Batch    763, Loss  0.639099, Average Loss  0.632147, Time  0.231664
2021-09-15 02:33:05.535590 : Epoch  1, Batch    249, Loss  0.917067, Average Loss  1.226118, Time  0.264399
2021-09-15 02:33:05.643358 : Epoch  1, Batch     67, Loss  0.941324, Average Loss  1.009981, Time  0.236702
2021-09-15 02:33:06.704575 : Epoch  1, Batch    764, Loss  0.621917, Average Loss  0.632063, Time  0.231556
2021-09-15 02:33:07.153435 : Epoch  1, Batch     68, Loss  0.940138, Average Loss  1.008953, Time  0.236811
2021-09-15 02:33:08.256882 : Epoch  1, Batch    765, Loss  0.626500, Average Loss  0.632041, Time  0.231819
2021-09-15 02:33:08.531406 : Epoch  1, Batch    250, Loss  0.915620, Average Loss  1.222334, Time  0.264934
2021-09-15 02:33:08.672492 : Epoch  1, Batch     69, Loss  0.931310, Average Loss  1.007828, Time  0.237096
2021-09-15 02:33:09.807884 : Epoch  1, Batch    766, Loss  0.637012, Average Loss  0.632014, Time  0.231631
2021-09-15 02:33:10.197004 : Epoch  1, Batch     70, Loss  0.929049, Average Loss  1.006703, Time  0.239495
2021-09-15 02:33:11.357201 : Epoch  1, Batch    767, Loss  0.625303, Average Loss  0.631947, Time  0.231559
2021-09-15 02:33:11.555411 : Epoch  1, Batch    251, Loss  0.930426, Average Loss  1.218698, Time  0.264391
2021-09-15 02:33:11.717948 : Epoch  1, Batch     71, Loss  0.922938, Average Loss  1.005523, Time  0.244777
2021-09-15 02:33:12.906302 : Epoch  1, Batch    768, Loss  0.618608, Average Loss  0.631845, Time  0.232198
2021-09-15 02:33:13.228776 : Epoch  1, Batch     72, Loss  0.922144, Average Loss  1.004365, Time  0.237497
2021-09-15 02:33:14.457023 : Epoch  1, Batch    769, Loss  0.620936, Average Loss  0.631731, Time  0.231810
2021-09-15 02:33:14.587729 : Epoch  1, Batch    252, Loss  0.953261, Average Loss  1.215144, Time  0.264504
2021-09-15 02:33:14.747921 : Epoch  1, Batch     73, Loss  0.917364, Average Loss  1.003173, Time  0.237711
2021-09-15 02:33:16.005039 : Epoch  1, Batch    770, Loss  0.613639, Average Loss  0.631578, Time  0.232929
2021-09-15 02:33:16.271559 : Epoch  1, Batch     74, Loss  0.903490, Average Loss  1.001826, Time  0.237913
2021-09-15 02:33:17.577181 : Epoch  1, Batch    253, Loss  0.920482, Average Loss  1.211462, Time  0.264677
2021-09-15 02:33:17.782864 : Epoch  1, Batch     75, Loss  0.901884, Average Loss  1.000494, Time  0.236669
2021-09-15 02:33:19.310601 : Epoch  1, Batch     76, Loss  0.885103, Average Loss  0.998975, Time  0.240655
2021-09-15 02:33:19.908406 : Epoch  1, Batch    771, Loss  0.618087, Average Loss  0.631471, Time  0.265705
2021-09-15 02:33:20.601127 : Epoch  1, Batch    254, Loss  0.892948, Average Loss  1.207557, Time  0.264376
2021-09-15 02:33:20.861381 : Epoch  1, Batch     77, Loss  0.873615, Average Loss  0.997347, Time  0.242872
2021-09-15 02:33:21.455212 : Epoch  1, Batch    772, Loss  0.622368, Average Loss  0.631332, Time  0.239095
2021-09-15 02:33:22.368259 : Epoch  1, Batch     78, Loss  0.859448, Average Loss  0.995579, Time  0.238030
2021-09-15 02:33:22.999950 : Epoch  1, Batch    773, Loss  0.622573, Average Loss  0.631269, Time  0.232362
2021-09-15 02:33:23.614735 : Epoch  1, Batch    255, Loss  0.915467, Average Loss  1.203824, Time  0.276580
2021-09-15 02:33:23.891453 : Epoch  1, Batch     79, Loss  0.849258, Average Loss  0.993727, Time  0.236977
2021-09-15 02:33:24.541248 : Epoch  1, Batch    774, Loss  0.638125, Average Loss  0.631242, Time  0.230985
2021-09-15 02:33:25.403290 : Epoch  1, Batch     80, Loss  0.833486, Average Loss  0.991724, Time  0.238187
2021-09-15 02:33:26.082168 : Epoch  1, Batch    775, Loss  0.633627, Average Loss  0.631220, Time  0.230863
2021-09-15 02:33:26.624763 : Epoch  1, Batch    256, Loss  0.921776, Average Loss  1.200190, Time  0.264396
2021-09-15 02:33:26.927748 : Epoch  1, Batch     81, Loss  0.833848, Average Loss  0.989775, Time  0.236560
2021-09-15 02:33:27.633105 : Epoch  1, Batch    776, Loss  0.634631, Average Loss  0.631118, Time  0.231178
2021-09-15 02:33:28.435182 : Epoch  1, Batch     82, Loss  0.837400, Average Loss  0.987917, Time  0.237356
2021-09-15 02:33:29.185050 : Epoch  1, Batch    777, Loss  0.633113, Average Loss  0.631142, Time  0.231045
2021-09-15 02:33:29.650109 : Epoch  1, Batch    257, Loss  0.913004, Average Loss  1.196476, Time  0.264586
2021-09-15 02:33:29.954000 : Epoch  1, Batch     83, Loss  0.836206, Average Loss  0.986089, Time  0.237405
2021-09-15 02:33:30.727207 : Epoch  1, Batch    778, Loss  0.626037, Average Loss  0.631062, Time  0.232176
2021-09-15 02:33:31.461855 : Epoch  1, Batch     84, Loss  0.836516, Average Loss  0.984308, Time  0.236776
2021-09-15 02:33:32.272254 : Epoch  1, Batch    779, Loss  0.630682, Average Loss  0.631012, Time  0.231530
2021-09-15 02:33:32.665424 : Epoch  1, Batch    258, Loss  0.933846, Average Loss  1.192890, Time  0.265589
2021-09-15 02:33:32.990134 : Epoch  1, Batch     85, Loss  0.833342, Average Loss  0.982532, Time  0.237171
2021-09-15 02:33:33.833095 : Epoch  1, Batch    780, Loss  0.627645, Average Loss  0.630956, Time  0.232929
2021-09-15 02:33:34.493011 : Epoch  1, Batch     86, Loss  0.827771, Average Loss  0.980733, Time  0.238453
2021-09-15 02:33:35.382758 : Epoch  1, Batch    781, Loss  0.628521, Average Loss  0.630912, Time  0.231127
2021-09-15 02:33:35.650368 : Epoch  1, Batch    259, Loss  0.912588, Average Loss  1.189140, Time  0.265626
2021-09-15 02:33:36.015816 : Epoch  1, Batch     87, Loss  0.833221, Average Loss  0.979037, Time  0.238197
2021-09-15 02:33:36.932140 : Epoch  1, Batch    782, Loss  0.622703, Average Loss  0.630828, Time  0.230693
2021-09-15 02:33:37.517991 : Epoch  1, Batch     88, Loss  0.821004, Average Loss  0.977241, Time  0.236352
2021-09-15 02:33:38.468203 : Epoch  1, Batch    783, Loss  0.624721, Average Loss  0.630726, Time  0.230924
2021-09-15 02:33:38.645225 : Epoch  1, Batch    260, Loss  0.919046, Average Loss  1.185475, Time  0.266122
2021-09-15 02:33:39.035513 : Epoch  1, Batch     89, Loss  0.811014, Average Loss  0.975374, Time  0.236518
2021-09-15 02:33:40.010513 : Epoch  1, Batch    784, Loss  0.618134, Average Loss  0.630636, Time  0.231057
2021-09-15 02:33:40.547666 : Epoch  1, Batch     90, Loss  0.816222, Average Loss  0.973605, Time  0.236873
2021-09-15 02:33:41.573237 : Epoch  1, Batch    785, Loss  0.618068, Average Loss  0.630526, Time  0.230820
2021-09-15 02:33:41.643666 : Epoch  1, Batch    261, Loss  0.903332, Average Loss  1.181704, Time  0.264338
2021-09-15 02:33:42.075163 : Epoch  1, Batch     91, Loss  0.814447, Average Loss  0.971856, Time  0.239041
2021-09-15 02:33:43.126156 : Epoch  1, Batch    786, Loss  0.620308, Average Loss  0.630402, Time  0.231418
2021-09-15 02:33:43.596499 : Epoch  1, Batch     92, Loss  0.814504, Average Loss  0.970146, Time  0.236957
2021-09-15 02:33:44.624042 : Epoch  1, Batch    262, Loss  0.940109, Average Loss  1.178048, Time  0.266524
2021-09-15 02:33:44.674981 : Epoch  1, Batch    787, Loss  0.618069, Average Loss  0.630331, Time  0.231167
2021-09-15 02:33:44.693810 : Saving Model after 1-th Epoch.
2021-09-15 02:33:45.104705 : Epoch  1, Batch     93, Loss  0.819010, Average Loss  0.968521, Time  0.237984
2021-09-15 02:33:45.309618 : Epoch Finished.
2021-09-15 02:33:46.632783 : Epoch  1, Batch     94, Loss  0.812534, Average Loss  0.966861, Time  0.238915
2021-09-15 02:33:47.620981 : Epoch  1, Batch    263, Loss  0.909011, Average Loss  1.174283, Time  0.265199
2021-09-15 02:33:47.627398 : Batch Shuffled
2021-09-15 02:33:48.154483 : Epoch  1, Batch     95, Loss  0.817275, Average Loss  0.965287, Time  0.243165
2021-09-15 02:33:49.178917 : Epoch  2, Batch      1, Loss  0.634520, Average Loss  0.630321, Time  0.230833
2021-09-15 02:33:49.699060 : Epoch  1, Batch     96, Loss  0.817171, Average Loss  0.963744, Time  0.250561
2021-09-15 02:33:50.616891 : Epoch  1, Batch    264, Loss  0.895016, Average Loss  1.170500, Time  0.263999
2021-09-15 02:33:50.718280 : Epoch  2, Batch      2, Loss  0.620249, Average Loss  0.630236, Time  0.231334
2021-09-15 02:33:51.230789 : Epoch  1, Batch     97, Loss  0.808177, Average Loss  0.962140, Time  0.237054
2021-09-15 02:33:52.260546 : Epoch  2, Batch      3, Loss  0.619113, Average Loss  0.630118, Time  0.232123
2021-09-15 02:33:52.742664 : Epoch  1, Batch     98, Loss  0.802324, Average Loss  0.960509, Time  0.238072
2021-09-15 02:33:53.649885 : Epoch  1, Batch    265, Loss  0.911873, Average Loss  1.166801, Time  0.265981
2021-09-15 02:33:53.799912 : Epoch  2, Batch      4, Loss  0.632258, Average Loss  0.630104, Time  0.231016
2021-09-15 02:33:54.255054 : Epoch  1, Batch     99, Loss  0.805278, Average Loss  0.958941, Time  0.237529
2021-09-15 02:33:55.349228 : Epoch  2, Batch      5, Loss  0.626118, Average Loss  0.630059, Time  0.231782
2021-09-15 02:33:55.759900 : Epoch  1, Batch    100, Loss  0.807978, Average Loss  0.957432, Time  0.236603
2021-09-15 02:33:56.675252 : Epoch  1, Batch    266, Loss  0.915811, Average Loss  1.163210, Time  0.266401
2021-09-15 02:33:56.897915 : Epoch  2, Batch      6, Loss  0.634027, Average Loss  0.630014, Time  0.231875
2021-09-15 02:33:58.426265 : Epoch  2, Batch      7, Loss  0.618449, Average Loss  0.629942, Time  0.232124
2021-09-15 02:33:59.691965 : Epoch  1, Batch    267, Loss  0.925787, Average Loss  1.159504, Time  0.265445
2021-09-15 02:33:59.976404 : Epoch  2, Batch      8, Loss  0.628481, Average Loss  0.629851, Time  0.231376
2021-09-15 02:34:01.518599 : Epoch  2, Batch      9, Loss  0.625565, Average Loss  0.629782, Time  0.233067
2021-09-15 02:34:02.687090 : Epoch  1, Batch    268, Loss  0.896339, Average Loss  1.155744, Time  0.264650
2021-09-15 02:34:03.064997 : Epoch  2, Batch     10, Loss  0.623424, Average Loss  0.629704, Time  0.231662
2021-09-15 02:34:04.596955 : Epoch  2, Batch     11, Loss  0.614211, Average Loss  0.629599, Time  0.231390
2021-09-15 02:34:05.695019 : Epoch  1, Batch    269, Loss  0.898706, Average Loss  1.151909, Time  0.266281
2021-09-15 02:34:06.149812 : Epoch  2, Batch     12, Loss  0.619641, Average Loss  0.629515, Time  0.231631
2021-09-15 02:34:07.687851 : Epoch  2, Batch     13, Loss  0.615685, Average Loss  0.629398, Time  0.231707
2021-09-15 02:34:08.694353 : Epoch  1, Batch    270, Loss  0.911262, Average Loss  1.148249, Time  0.278331
2021-09-15 02:34:11.685355 : Epoch  1, Batch    271, Loss  0.927190, Average Loss  1.144640, Time  0.264621
2021-09-15 02:34:14.697949 : Epoch  1, Batch    272, Loss  0.920352, Average Loss  1.140986, Time  0.265714
2021-09-15 02:34:17.727897 : Epoch  1, Batch    273, Loss  0.885681, Average Loss  1.137137, Time  0.265260
2021-09-15 02:34:20.735314 : Epoch  1, Batch    274, Loss  0.937760, Average Loss  1.133585, Time  0.264477
2021-09-15 02:34:23.734207 : Epoch  1, Batch    275, Loss  0.897870, Average Loss  1.129838, Time  0.265880
2021-09-15 02:34:26.745843 : Epoch  1, Batch    276, Loss  0.916764, Average Loss  1.126182, Time  0.265497
2021-09-15 02:34:29.709985 : Epoch  1, Batch    277, Loss  0.909775, Average Loss  1.122401, Time  0.263909
2021-09-15 02:34:32.726875 : Epoch  1, Batch    278, Loss  0.914521, Average Loss  1.118747, Time  0.265785
2021-09-15 02:34:35.710771 : Epoch  1, Batch    279, Loss  0.911178, Average Loss  1.115077, Time  0.266322
2021-09-15 02:34:38.691913 : Epoch  1, Batch    280, Loss  0.916348, Average Loss  1.111397, Time  0.265224
2021-09-15 02:34:41.684198 : Epoch  1, Batch    281, Loss  0.931031, Average Loss  1.107842, Time  0.265998
2021-09-15 02:34:44.700020 : Epoch  1, Batch    282, Loss  0.916457, Average Loss  1.104241, Time  0.267481
2021-09-15 02:34:47.691482 : Epoch  1, Batch    283, Loss  0.915394, Average Loss  1.100716, Time  0.265191
2021-09-15 02:34:50.717533 : Epoch  1, Batch    284, Loss  0.931839, Average Loss  1.097231, Time  0.264737
2021-09-15 02:34:52.627637 : CheckPoint: Validation Loss  0.00033686, Best Loss  0.00033686
2021-09-15 02:34:52.652876 : Best Model Updated
2021-09-15 02:34:53.745333 : Epoch  1, Batch    285, Loss  0.894210, Average Loss  1.093552, Time  0.273680
2021-09-15 02:34:56.739219 : Epoch  1, Batch    286, Loss  0.907390, Average Loss  1.089937, Time  0.264677
2021-09-15 02:34:59.732119 : Epoch  1, Batch    287, Loss  0.888077, Average Loss  1.086174, Time  0.265660
2021-09-15 02:35:02.737576 : Epoch  1, Batch    288, Loss  0.895118, Average Loss  1.082549, Time  0.264496
2021-09-15 02:35:05.642755 : CheckPoint: Validation Loss  0.00025581, Best Loss  0.00025581
2021-09-15 02:35:05.680572 : Best Model Updated
2021-09-15 02:35:05.724782 : Epoch  1, Batch    289, Loss  0.898347, Average Loss  1.078869, Time  0.265042
2021-09-15 02:35:07.988242 : Epoch  2, Batch     14, Loss  0.622157, Average Loss  0.629315, Time  0.231844
2021-09-15 02:35:08.725247 : Epoch  1, Batch    290, Loss  0.880303, Average Loss  1.075126, Time  0.265008
2021-09-15 02:35:09.532012 : Epoch  2, Batch     15, Loss  0.629383, Average Loss  0.629288, Time  0.233067
2021-09-15 02:35:11.074137 : Epoch  2, Batch     16, Loss  0.619707, Average Loss  0.629242, Time  0.231935
2021-09-15 02:35:11.724111 : Epoch  1, Batch    291, Loss  0.893534, Average Loss  1.071438, Time  0.265804
2021-09-15 02:35:12.623440 : Epoch  2, Batch     17, Loss  0.627457, Average Loss  0.629175, Time  0.232233
2021-09-15 02:35:14.168251 : Epoch  2, Batch     18, Loss  0.617185, Average Loss  0.629090, Time  0.230905
2021-09-15 02:35:14.724161 : Epoch  1, Batch    292, Loss  0.898104, Average Loss  1.067934, Time  0.265769
2021-09-15 02:35:15.708693 : Epoch  2, Batch     19, Loss  0.631130, Average Loss  0.629087, Time  0.230936
2021-09-15 02:35:17.251015 : Epoch  2, Batch     20, Loss  0.611370, Average Loss  0.629029, Time  0.231027
2021-09-15 02:35:17.707909 : Epoch  1, Batch    293, Loss  0.936349, Average Loss  1.064591, Time  0.264561
2021-09-15 02:35:18.807132 : Epoch  2, Batch     21, Loss  0.619363, Average Loss  0.628926, Time  0.231147
2021-09-15 02:35:20.352810 : Epoch  2, Batch     22, Loss  0.626775, Average Loss  0.628860, Time  0.231663
2021-09-15 02:35:20.690346 : Epoch  1, Batch    294, Loss  0.917579, Average Loss  1.061223, Time  0.265344
2021-09-15 02:35:21.887312 : Epoch  2, Batch     23, Loss  0.624626, Average Loss  0.628779, Time  0.230418
2021-09-15 02:35:23.438850 : Epoch  2, Batch     24, Loss  0.608491, Average Loss  0.628663, Time  0.230900
2021-09-15 02:35:23.670159 : Epoch  1, Batch    295, Loss  0.926761, Average Loss  1.057844, Time  0.264495
2021-09-15 02:35:24.982033 : Epoch  2, Batch     25, Loss  0.617898, Average Loss  0.628576, Time  0.231098
2021-09-15 02:35:26.529035 : Epoch  2, Batch     26, Loss  0.630331, Average Loss  0.628554, Time  0.231457
2021-09-15 02:35:26.677160 : Epoch  1, Batch    296, Loss  0.911909, Average Loss  1.054485, Time  0.264325
2021-09-15 02:35:28.065163 : Epoch  2, Batch     27, Loss  0.624200, Average Loss  0.628525, Time  0.231751
2021-09-15 02:35:29.600311 : Epoch  2, Batch     28, Loss  0.630213, Average Loss  0.628500, Time  0.229645
2021-09-15 02:35:29.687105 : Epoch  1, Batch    297, Loss  0.907039, Average Loss  1.051277, Time  0.264448
2021-09-15 02:35:31.136501 : Epoch  2, Batch     29, Loss  0.626977, Average Loss  0.628425, Time  0.230771
2021-09-15 02:35:32.676151 : Epoch  2, Batch     30, Loss  0.625350, Average Loss  0.628358, Time  0.231115
2021-09-15 02:35:32.683044 : Epoch  1, Batch    298, Loss  0.927196, Average Loss  1.048276, Time  0.265500
2021-09-15 02:35:34.213013 : Epoch  2, Batch     31, Loss  0.616208, Average Loss  0.628229, Time  0.231480
2021-09-15 02:35:35.703812 : Epoch  1, Batch    299, Loss  0.895946, Average Loss  1.045087, Time  0.266674
2021-09-15 02:35:35.759197 : Epoch  2, Batch     32, Loss  0.623160, Average Loss  0.628132, Time  0.231545
2021-09-15 02:35:37.302239 : Epoch  2, Batch     33, Loss  0.627606, Average Loss  0.628083, Time  0.231244
2021-09-15 02:35:38.731337 : Epoch  1, Batch    300, Loss  0.905901, Average Loss  1.042193, Time  0.272226
2021-09-15 02:35:38.844345 : Epoch  2, Batch     34, Loss  0.628236, Average Loss  0.628043, Time  0.231110
2021-09-15 02:35:40.377691 : Epoch  2, Batch     35, Loss  0.618620, Average Loss  0.627920, Time  0.230937
2021-09-15 02:35:41.933901 : Epoch  2, Batch     36, Loss  0.622351, Average Loss  0.627836, Time  0.230625
2021-09-15 02:35:43.470115 : Epoch  2, Batch     37, Loss  0.625573, Average Loss  0.627819, Time  0.230940
2021-09-15 02:35:45.008499 : Epoch  2, Batch     38, Loss  0.605815, Average Loss  0.627646, Time  0.229927
2021-09-15 02:35:46.535039 : Epoch  2, Batch     39, Loss  0.628051, Average Loss  0.627646, Time  0.231420
2021-09-15 02:35:48.070063 : Epoch  2, Batch     40, Loss  0.631160, Average Loss  0.627655, Time  0.230332
2021-09-15 02:35:49.624020 : Epoch  2, Batch     41, Loss  0.623940, Average Loss  0.627610, Time  0.231044
2021-09-15 02:35:51.161314 : Epoch  2, Batch     42, Loss  0.620565, Average Loss  0.627530, Time  0.231161
2021-09-15 02:35:52.712094 : Epoch  2, Batch     43, Loss  0.626871, Average Loss  0.627474, Time  0.231798
2021-09-15 02:35:54.263323 : Epoch  2, Batch     44, Loss  0.616949, Average Loss  0.627405, Time  0.230825
2021-09-15 02:35:55.803206 : Epoch  2, Batch     45, Loss  0.624714, Average Loss  0.627333, Time  0.231176
2021-09-15 02:35:57.342825 : Epoch  2, Batch     46, Loss  0.616482, Average Loss  0.627258, Time  0.230969
2021-09-15 02:35:58.875833 : Epoch  2, Batch     47, Loss  0.624310, Average Loss  0.627200, Time  0.230997
2021-09-15 02:36:00.411347 : Epoch  2, Batch     48, Loss  0.630145, Average Loss  0.627189, Time  0.230537
2021-09-15 02:36:01.943542 : Epoch  2, Batch     49, Loss  0.617721, Average Loss  0.627096, Time  0.230648
2021-09-15 02:36:02.071685 : Epoch  2, Batch     50, Loss  0.613274, Average Loss  0.627010, Time  0.091845
2021-09-15 02:36:03.602678 : Epoch  2, Batch     51, Loss  0.646491, Average Loss  0.627073, Time  0.231629
2021-09-15 02:36:05.151183 : Epoch  2, Batch     52, Loss  0.661327, Average Loss  0.627184, Time  0.231755
2021-09-15 02:36:06.694404 : Epoch  2, Batch     53, Loss  0.661189, Average Loss  0.627265, Time  0.233030
2021-09-15 02:36:08.236932 : Epoch  2, Batch     54, Loss  0.657510, Average Loss  0.627370, Time  0.231535
2021-09-15 02:36:09.779110 : Epoch  2, Batch     55, Loss  0.640415, Average Loss  0.627411, Time  0.231848
2021-09-15 02:36:11.318000 : Epoch  2, Batch     56, Loss  0.626695, Average Loss  0.627384, Time  0.232108
2021-09-15 02:36:12.867839 : Epoch  2, Batch     57, Loss  0.626112, Average Loss  0.627338, Time  0.231770
2021-09-15 02:36:14.400067 : Epoch  2, Batch     58, Loss  0.639125, Average Loss  0.627386, Time  0.230918
2021-09-15 02:36:15.951322 : Epoch  2, Batch     59, Loss  0.642731, Average Loss  0.627457, Time  0.232542
2021-09-15 02:36:17.499477 : Epoch  2, Batch     60, Loss  0.642701, Average Loss  0.627582, Time  0.231413
2021-09-15 02:36:19.041081 : Epoch  2, Batch     61, Loss  0.630447, Average Loss  0.627566, Time  0.231705
2021-09-15 02:36:20.581502 : Epoch  2, Batch     62, Loss  0.625902, Average Loss  0.627564, Time  0.231281
2021-09-15 02:36:22.127094 : Epoch  2, Batch     63, Loss  0.627606, Average Loss  0.627516, Time  0.230981
2021-09-15 02:36:23.669227 : Epoch  2, Batch     64, Loss  0.633294, Average Loss  0.627470, Time  0.231245
2021-09-15 02:36:25.213404 : Epoch  2, Batch     65, Loss  0.632210, Average Loss  0.627469, Time  0.232757
2021-09-15 02:36:26.762930 : Epoch  2, Batch     66, Loss  0.617794, Average Loss  0.627362, Time  0.231287
2021-09-15 02:36:28.317660 : Epoch  2, Batch     67, Loss  0.623522, Average Loss  0.627332, Time  0.233256
2021-09-15 02:36:29.857071 : Epoch  2, Batch     68, Loss  0.640559, Average Loss  0.627353, Time  0.232177
2021-09-15 02:36:31.398220 : Epoch  2, Batch     69, Loss  0.627890, Average Loss  0.627367, Time  0.230946
2021-09-15 02:36:32.945946 : Epoch  2, Batch     70, Loss  0.634300, Average Loss  0.627356, Time  0.233641
2021-09-15 02:36:34.489334 : Epoch  2, Batch     71, Loss  0.631927, Average Loss  0.627300, Time  0.231448
2021-09-15 02:36:36.024798 : Epoch  2, Batch     72, Loss  0.630783, Average Loss  0.627224, Time  0.231135
2021-09-15 02:36:37.577432 : Epoch  2, Batch     73, Loss  0.632936, Average Loss  0.627213, Time  0.232732
2021-09-15 02:36:39.120131 : Epoch  2, Batch     74, Loss  0.628205, Average Loss  0.627173, Time  0.230999
2021-09-15 02:36:40.653194 : Epoch  2, Batch     75, Loss  0.635489, Average Loss  0.627218, Time  0.231152
2021-09-15 02:36:42.203398 : Epoch  2, Batch     76, Loss  0.620037, Average Loss  0.627186, Time  0.231582
2021-09-15 02:36:43.762909 : Epoch  2, Batch     77, Loss  0.629462, Average Loss  0.627180, Time  0.232482
2021-09-15 02:36:45.305716 : Epoch  2, Batch     78, Loss  0.634862, Average Loss  0.627166, Time  0.231553
2021-09-15 02:36:46.845222 : Epoch  2, Batch     79, Loss  0.632172, Average Loss  0.627153, Time  0.231979
2021-09-15 02:36:48.386973 : Epoch  2, Batch     80, Loss  0.636616, Average Loss  0.627161, Time  0.231905
2021-09-15 02:36:49.921891 : Epoch  2, Batch     81, Loss  0.618810, Average Loss  0.627123, Time  0.230840
2021-09-15 02:36:51.472916 : Epoch  2, Batch     82, Loss  0.628007, Average Loss  0.627126, Time  0.230893
2021-09-15 02:36:53.010223 : Epoch  2, Batch     83, Loss  0.630912, Average Loss  0.627110, Time  0.231516
2021-09-15 02:36:54.554887 : Epoch  2, Batch     84, Loss  0.629218, Average Loss  0.627186, Time  0.231428
2021-09-15 02:36:58.418659 : Epoch  2, Batch     85, Loss  0.624005, Average Loss  0.627148, Time  0.269600
2021-09-15 02:36:59.969318 : Epoch  2, Batch     86, Loss  0.619458, Average Loss  0.627036, Time  0.247957
2021-09-15 02:37:01.512059 : Epoch  2, Batch     87, Loss  0.615867, Average Loss  0.626963, Time  0.231424
2021-09-15 02:37:03.056427 : Epoch  2, Batch     88, Loss  0.619919, Average Loss  0.626879, Time  0.231246
2021-09-15 02:37:04.591108 : Epoch  2, Batch     89, Loss  0.628899, Average Loss  0.626886, Time  0.231463
2021-09-15 02:37:06.144135 : Epoch  2, Batch     90, Loss  0.633887, Average Loss  0.626931, Time  0.231528
2021-09-15 02:37:07.683979 : Epoch  2, Batch     91, Loss  0.626784, Average Loss  0.626965, Time  0.231633
2021-09-15 02:37:09.227159 : Epoch  2, Batch     92, Loss  0.625367, Average Loss  0.626942, Time  0.232511
2021-09-15 02:37:10.769386 : Epoch  2, Batch     93, Loss  0.626437, Average Loss  0.626980, Time  0.232169
2021-09-15 02:37:12.310329 : Epoch  2, Batch     94, Loss  0.611268, Average Loss  0.626911, Time  0.231276
2021-09-15 02:37:13.861034 : Epoch  2, Batch     95, Loss  0.610858, Average Loss  0.626842, Time  0.231343
2021-09-15 02:37:15.408411 : Epoch  2, Batch     96, Loss  0.625879, Average Loss  0.626818, Time  0.231259
2021-09-15 02:37:16.956979 : Epoch  2, Batch     97, Loss  0.618514, Average Loss  0.626750, Time  0.231628
2021-09-15 02:37:18.504361 : Epoch  2, Batch     98, Loss  0.610515, Average Loss  0.626668, Time  0.231272
2021-09-15 02:37:20.054057 : Epoch  2, Batch     99, Loss  0.631374, Average Loss  0.626692, Time  0.232360
2021-09-15 02:37:21.606135 : Epoch  2, Batch    100, Loss  0.618776, Average Loss  0.626624, Time  0.231174
2021-09-15 02:37:23.146798 : Epoch  2, Batch    101, Loss  0.627956, Average Loss  0.626569, Time  0.231373
2021-09-15 02:37:24.694895 : Epoch  2, Batch    102, Loss  0.627388, Average Loss  0.626559, Time  0.232307
2021-09-15 02:37:26.248893 : Epoch  2, Batch    103, Loss  0.609597, Average Loss  0.626459, Time  0.235640
2021-09-15 02:37:27.805257 : Epoch  2, Batch    104, Loss  0.617212, Average Loss  0.626420, Time  0.234949
2021-09-15 02:37:29.356183 : Epoch  2, Batch    105, Loss  0.625934, Average Loss  0.626383, Time  0.232730
2021-09-15 02:37:30.902827 : Epoch  2, Batch    106, Loss  0.624861, Average Loss  0.626359, Time  0.232203
2021-09-15 02:37:32.452488 : Epoch  2, Batch    107, Loss  0.622912, Average Loss  0.626356, Time  0.233113
2021-09-15 02:37:34.001908 : Epoch  2, Batch    108, Loss  0.618091, Average Loss  0.626301, Time  0.232329
2021-09-15 02:37:34.502052 : Building dataset train from orignial text documents
2021-09-15 02:37:35.544367 : Epoch  2, Batch    109, Loss  0.624177, Average Loss  0.626268, Time  0.231260
2021-09-15 02:37:37.084015 : Epoch  2, Batch    110, Loss  0.622495, Average Loss  0.626234, Time  0.232779
2021-09-15 02:37:38.616406 : Epoch  2, Batch    111, Loss  0.631812, Average Loss  0.626240, Time  0.230832
2021-09-15 02:37:40.153316 : Epoch  2, Batch    112, Loss  0.630588, Average Loss  0.626276, Time  0.230573
2021-09-15 02:37:41.694265 : Epoch  2, Batch    113, Loss  0.625114, Average Loss  0.626242, Time  0.231273
2021-09-15 02:37:59.727604 : Finish Loading dataset train
2021-09-15 02:37:59.769555 : Data Shuffle
2021-09-15 02:37:59.808546 : Start Shuffling
2021-09-15 02:38:00.749916 : Finish Shuffling
2021-09-15 02:38:00.835604 : Generate Batch
2021-09-15 02:38:01.275678 : Building dataset valid from orignial text documents
2021-09-15 02:38:02.351600 : Finish Loading dataset valid
2021-09-15 02:38:02.388554 : Data Shuffle
2021-09-15 02:38:02.426549 : Start Shuffling
2021-09-15 02:38:02.511585 : Finish Shuffling
2021-09-15 02:38:02.549737 : Generate Batch
2021-09-15 02:38:02.605573 : There are 787 batches per epoch
2021-09-15 02:38:02.646557 : Batch Shuffled
2021-09-15 02:38:04.388134 : Epoch  1, Batch      1, Loss  1.291552, Average Loss  1.291552, Time  0.460716
2021-09-15 02:38:05.985769 : Epoch  1, Batch      2, Loss  1.295719, Average Loss  1.293636, Time  0.247930
2021-09-15 02:38:07.530815 : Epoch  1, Batch      3, Loss  1.292340, Average Loss  1.293204, Time  0.244781
2021-09-15 02:38:09.093801 : Epoch  1, Batch      4, Loss  1.286794, Average Loss  1.291601, Time  0.257171
2021-09-15 02:38:10.773061 : Epoch  1, Batch      5, Loss  1.281611, Average Loss  1.289603, Time  0.256828
2021-09-15 02:38:12.458883 : Epoch  1, Batch      6, Loss  1.279536, Average Loss  1.287925, Time  0.257328
2021-09-15 02:38:14.155219 : Epoch  1, Batch      7, Loss  1.253146, Average Loss  1.282957, Time  0.255960
2021-09-15 02:38:15.720385 : Epoch  1, Batch      8, Loss  1.251790, Average Loss  1.279061, Time  0.242710
2021-09-15 02:38:17.251938 : Epoch  1, Batch      9, Loss  1.242622, Average Loss  1.275012, Time  0.243708
2021-09-15 02:38:18.791900 : Epoch  1, Batch     10, Loss  1.235026, Average Loss  1.271014, Time  0.241185
2021-09-15 02:38:20.320385 : Epoch  1, Batch     11, Loss  1.209816, Average Loss  1.265450, Time  0.239353
2021-09-15 02:38:21.852410 : Epoch  1, Batch     12, Loss  1.200147, Average Loss  1.260008, Time  0.241298
2021-09-15 02:38:23.387039 : Epoch  1, Batch     13, Loss  1.199713, Average Loss  1.255370, Time  0.236948
2021-09-15 02:38:24.929033 : Epoch  1, Batch     14, Loss  1.177963, Average Loss  1.249841, Time  0.242753
2021-09-15 02:38:26.470031 : Epoch  1, Batch     15, Loss  1.159563, Average Loss  1.243823, Time  0.239981
2021-09-15 02:38:28.001853 : Epoch  1, Batch     16, Loss  1.149813, Average Loss  1.237947, Time  0.239761
2021-09-15 02:38:29.543967 : Epoch  1, Batch     17, Loss  1.139032, Average Loss  1.232129, Time  0.241656
2021-09-15 02:38:31.090829 : Epoch  1, Batch     18, Loss  1.127448, Average Loss  1.226313, Time  0.240080
2021-09-15 02:38:32.629463 : Epoch  1, Batch     19, Loss  1.108729, Average Loss  1.220124, Time  0.240818
2021-09-15 02:38:34.181710 : Epoch  1, Batch     20, Loss  1.095088, Average Loss  1.213873, Time  0.242278
2021-09-15 02:38:35.732395 : Epoch  1, Batch     21, Loss  1.083958, Average Loss  1.207686, Time  0.240677
2021-09-15 02:38:37.274245 : Epoch  1, Batch     22, Loss  1.079962, Average Loss  1.201880, Time  0.244750
2021-09-15 02:38:38.980721 : Epoch  1, Batch     23, Loss  1.073235, Average Loss  1.196287, Time  0.261620
2021-09-15 02:38:39.341729 : CheckPoint: Validation Loss  0.00025295, Best Loss  0.00025295
2021-09-15 02:38:39.374574 : Best Model Updated
2021-09-15 02:38:40.535848 : Epoch  1, Batch     24, Loss  1.057603, Average Loss  1.190509, Time  0.239678
2021-09-15 02:38:41.641137 : Epoch  2, Batch    114, Loss  0.608401, Average Loss  0.626169, Time  0.231794
2021-09-15 02:38:42.079059 : Epoch  1, Batch     25, Loss  1.055026, Average Loss  1.185089, Time  0.242114
2021-09-15 02:38:43.195964 : Epoch  2, Batch    115, Loss  0.618498, Average Loss  0.626135, Time  0.231274
2021-09-15 02:38:43.617255 : Epoch  1, Batch     26, Loss  1.034841, Average Loss  1.179311, Time  0.241240
2021-09-15 02:38:44.740080 : Epoch  2, Batch    116, Loss  0.621437, Average Loss  0.626163, Time  0.231022
2021-09-15 02:38:45.162028 : Epoch  1, Batch     27, Loss  1.044661, Average Loss  1.174324, Time  0.240613
2021-09-15 02:38:46.285597 : Epoch  2, Batch    117, Loss  0.611219, Average Loss  0.626078, Time  0.230748
2021-09-15 02:38:46.696851 : Epoch  1, Batch     28, Loss  1.022074, Average Loss  1.168886, Time  0.243560
2021-09-15 02:38:47.834933 : Epoch  2, Batch    118, Loss  0.629625, Average Loss  0.626097, Time  0.231354
2021-09-15 02:38:48.243568 : Epoch  1, Batch     29, Loss  1.016645, Average Loss  1.163636, Time  0.241822
2021-09-15 02:38:49.383394 : Epoch  2, Batch    119, Loss  0.626707, Average Loss  0.626068, Time  0.231247
2021-09-15 02:38:49.774113 : Epoch  1, Batch     30, Loss  1.010573, Average Loss  1.158534, Time  0.240910
2021-09-15 02:38:50.932893 : Epoch  2, Batch    120, Loss  0.619524, Average Loss  0.626038, Time  0.232122
2021-09-15 02:38:51.322850 : Epoch  1, Batch     31, Loss  0.997597, Average Loss  1.153343, Time  0.241460
2021-09-15 02:38:52.475551 : Epoch  2, Batch    121, Loss  0.624665, Average Loss  0.626133, Time  0.231012
2021-09-15 02:38:52.853425 : Epoch  1, Batch     32, Loss  1.007589, Average Loss  1.148788, Time  0.238739
2021-09-15 02:38:54.024827 : Epoch  2, Batch    122, Loss  0.626808, Average Loss  0.626120, Time  0.231087
2021-09-15 02:38:54.383919 : Epoch  1, Batch     33, Loss  0.990013, Average Loss  1.143977, Time  0.241580
2021-09-15 02:38:55.573297 : Epoch  2, Batch    123, Loss  0.619234, Average Loss  0.626070, Time  0.231689
2021-09-15 02:38:55.916376 : Epoch  1, Batch     34, Loss  0.991890, Average Loss  1.139503, Time  0.240840
2021-09-15 02:38:57.123898 : Epoch  2, Batch    124, Loss  0.623467, Average Loss  0.626049, Time  0.231161
2021-09-15 02:38:57.435818 : Epoch  1, Batch     35, Loss  0.986319, Average Loss  1.135127, Time  0.240763
2021-09-15 02:38:58.683354 : Epoch  2, Batch    125, Loss  0.621622, Average Loss  0.625993, Time  0.231668
2021-09-15 02:38:58.962783 : Epoch  1, Batch     36, Loss  0.992739, Average Loss  1.131171, Time  0.241018
2021-09-15 02:39:00.227941 : Epoch  2, Batch    126, Loss  0.619731, Average Loss  0.625953, Time  0.231593
2021-09-15 02:39:00.506180 : Epoch  1, Batch     37, Loss  0.982719, Average Loss  1.127159, Time  0.240633
2021-09-15 02:39:01.777374 : Epoch  2, Batch    127, Loss  0.610801, Average Loss  0.625879, Time  0.233198
2021-09-15 02:39:02.043966 : Epoch  1, Batch     38, Loss  0.984436, Average Loss  1.123403, Time  0.239242
2021-09-15 02:39:03.329171 : Epoch  2, Batch    128, Loss  0.628603, Average Loss  0.625934, Time  0.231356
2021-09-15 02:39:03.576859 : Epoch  1, Batch     39, Loss  0.977065, Average Loss  1.119651, Time  0.239512
2021-09-15 02:39:04.874259 : Epoch  2, Batch    129, Loss  0.610859, Average Loss  0.625888, Time  0.232024
2021-09-15 02:39:05.118401 : Epoch  1, Batch     40, Loss  0.971800, Average Loss  1.115955, Time  0.241074
2021-09-15 02:39:06.423045 : Epoch  2, Batch    130, Loss  0.620406, Average Loss  0.625869, Time  0.231354
2021-09-15 02:39:06.670244 : Epoch  1, Batch     41, Loss  0.970926, Average Loss  1.112418, Time  0.257732
2021-09-15 02:39:07.968423 : Epoch  2, Batch    131, Loss  0.612478, Average Loss  0.625790, Time  0.231434
2021-09-15 02:39:08.199380 : Epoch  1, Batch     42, Loss  0.975513, Average Loss  1.109158, Time  0.240307
2021-09-15 02:39:09.511967 : Epoch  2, Batch    132, Loss  0.628916, Average Loss  0.625760, Time  0.232137
2021-09-15 02:39:09.720085 : Epoch  1, Batch     43, Loss  0.969599, Average Loss  1.105912, Time  0.241409
2021-09-15 02:39:11.059044 : Epoch  2, Batch    133, Loss  0.609392, Average Loss  0.625618, Time  0.231644
2021-09-15 02:39:11.256320 : Epoch  1, Batch     44, Loss  0.968818, Average Loss  1.102797, Time  0.241395
2021-09-15 02:39:12.607281 : Epoch  2, Batch    134, Loss  0.624849, Average Loss  0.625575, Time  0.231234
2021-09-15 02:39:12.785028 : Epoch  1, Batch     45, Loss  0.970711, Average Loss  1.099861, Time  0.239463
2021-09-15 02:39:14.146184 : Epoch  2, Batch    135, Loss  0.616847, Average Loss  0.625541, Time  0.231405
2021-09-15 02:39:14.462111 : Epoch  1, Batch     46, Loss  0.968898, Average Loss  1.097014, Time  0.257725
2021-09-15 02:39:15.689797 : Epoch  2, Batch    136, Loss  0.614357, Average Loss  0.625465, Time  0.231965
2021-09-15 02:39:15.989851 : Epoch  1, Batch     47, Loss  0.960157, Average Loss  1.094102, Time  0.240566
2021-09-15 02:39:17.229415 : Epoch  2, Batch    137, Loss  0.617869, Average Loss  0.625403, Time  0.231534
2021-09-15 02:39:17.536095 : Epoch  1, Batch     48, Loss  0.959280, Average Loss  1.091294, Time  0.239650
2021-09-15 02:39:18.778156 : Epoch  2, Batch    138, Loss  0.621897, Average Loss  0.625410, Time  0.232003
2021-09-15 02:39:19.215913 : Epoch  1, Batch     49, Loss  0.960972, Average Loss  1.088634, Time  0.258570
2021-09-15 02:39:20.320093 : Epoch  2, Batch    139, Loss  0.631368, Average Loss  0.625468, Time  0.231677
2021-09-15 02:39:20.888348 : Epoch  1, Batch     50, Loss  0.961581, Average Loss  1.086093, Time  0.259286
2021-09-15 02:39:21.872304 : Epoch  2, Batch    140, Loss  0.624538, Average Loss  0.625453, Time  0.232275
2021-09-15 02:39:22.587996 : Epoch  1, Batch     51, Loss  0.963319, Average Loss  1.083686, Time  0.261532
2021-09-15 02:39:23.418375 : Epoch  2, Batch    141, Loss  0.631226, Average Loss  0.625499, Time  0.231225
2021-09-15 02:39:24.279939 : Epoch  1, Batch     52, Loss  0.964531, Average Loss  1.081394, Time  0.258614
2021-09-15 02:39:24.962859 : Epoch  2, Batch    142, Loss  0.621108, Average Loss  0.625385, Time  0.233762
2021-09-15 02:39:25.838851 : Epoch  1, Batch     53, Loss  0.963027, Average Loss  1.079161, Time  0.241661
2021-09-15 02:39:26.505341 : Epoch  2, Batch    143, Loss  0.614426, Average Loss  0.625260, Time  0.231325
2021-09-15 02:39:27.375402 : Epoch  1, Batch     54, Loss  0.958525, Average Loss  1.076927, Time  0.239119
2021-09-15 02:39:28.047381 : Epoch  2, Batch    144, Loss  0.616409, Average Loss  0.625154, Time  0.232238
2021-09-15 02:39:28.909040 : Epoch  1, Batch     55, Loss  0.955630, Average Loss  1.074721, Time  0.239386
2021-09-15 02:39:29.587705 : Epoch  2, Batch    145, Loss  0.625434, Average Loss  0.625150, Time  0.232526
2021-09-15 02:39:30.450949 : Epoch  1, Batch     56, Loss  0.951223, Average Loss  1.072516, Time  0.238904
2021-09-15 02:39:31.125011 : Epoch  2, Batch    146, Loss  0.621007, Average Loss  0.625124, Time  0.231100
2021-09-15 02:39:32.030824 : Epoch  1, Batch     57, Loss  0.957111, Average Loss  1.070491, Time  0.239179
2021-09-15 02:39:32.664175 : Epoch  2, Batch    147, Loss  0.607533, Average Loss  0.624970, Time  0.231405
2021-09-15 02:39:33.579894 : Epoch  1, Batch     58, Loss  0.955178, Average Loss  1.068503, Time  0.249584
2021-09-15 02:39:34.267967 : Epoch  2, Batch    148, Loss  0.616267, Average Loss  0.624908, Time  0.231618
2021-09-15 02:39:35.162110 : Epoch  1, Batch     59, Loss  0.955087, Average Loss  1.066581, Time  0.239449
2021-09-15 02:39:35.808999 : Epoch  2, Batch    149, Loss  0.619949, Average Loss  0.624825, Time  0.231071
2021-09-15 02:39:36.704397 : Epoch  1, Batch     60, Loss  0.954723, Average Loss  1.064717, Time  0.239378
2021-09-15 02:39:37.347132 : Epoch  2, Batch    150, Loss  0.630450, Average Loss  0.624843, Time  0.231229
2021-09-15 02:39:38.229989 : Epoch  1, Batch     61, Loss  0.953002, Average Loss  1.062885, Time  0.238471
2021-09-15 02:39:38.893350 : Epoch  2, Batch    151, Loss  0.606165, Average Loss  0.624774, Time  0.232486
2021-09-15 02:39:39.771675 : Epoch  1, Batch     62, Loss  0.956882, Average Loss  1.061176, Time  0.241074
2021-09-15 02:39:40.430991 : Epoch  2, Batch    152, Loss  0.634817, Average Loss  0.624786, Time  0.231149
2021-09-15 02:39:41.316418 : Epoch  1, Batch     63, Loss  0.953078, Average Loss  1.059460, Time  0.240074
2021-09-15 02:39:41.960943 : Epoch  2, Batch    153, Loss  0.626843, Average Loss  0.624788, Time  0.231084
2021-09-15 02:39:42.842158 : Epoch  1, Batch     64, Loss  0.951291, Average Loss  1.057770, Time  0.240420
2021-09-15 02:39:43.506393 : Epoch  2, Batch    154, Loss  0.623983, Average Loss  0.624821, Time  0.230973
2021-09-15 02:39:44.385594 : Epoch  1, Batch     65, Loss  0.949555, Average Loss  1.056105, Time  0.240352
2021-09-15 02:39:45.042044 : Epoch  2, Batch    155, Loss  0.624955, Average Loss  0.624831, Time  0.231860
2021-09-15 02:39:45.913774 : Epoch  1, Batch     66, Loss  0.948039, Average Loss  1.054467, Time  0.242514
2021-09-15 02:39:46.595432 : Epoch  2, Batch    156, Loss  0.617404, Average Loss  0.624793, Time  0.232692
2021-09-15 02:39:47.436372 : Epoch  1, Batch     67, Loss  0.947146, Average Loss  1.052866, Time  0.238612
2021-09-15 02:39:48.132065 : Epoch  2, Batch    157, Loss  0.616758, Average Loss  0.624788, Time  0.232394
2021-09-15 02:39:48.977806 : Epoch  1, Batch     68, Loss  0.950816, Average Loss  1.051365, Time  0.239439
2021-09-15 02:39:49.673185 : Epoch  2, Batch    158, Loss  0.606702, Average Loss  0.624721, Time  0.231053
2021-09-15 02:39:50.513527 : Epoch  1, Batch     69, Loss  0.949034, Average Loss  1.049882, Time  0.243614
2021-09-15 02:39:51.239690 : Epoch  2, Batch    159, Loss  0.619746, Average Loss  0.624716, Time  0.231518
2021-09-15 02:39:52.043646 : Epoch  1, Batch     70, Loss  0.947068, Average Loss  1.048413, Time  0.238457
2021-09-15 02:39:52.784937 : Epoch  2, Batch    160, Loss  0.637107, Average Loss  0.624726, Time  0.231030
2021-09-15 02:39:53.570471 : Epoch  1, Batch     71, Loss  0.948886, Average Loss  1.047011, Time  0.237226
2021-09-15 02:39:54.336591 : Epoch  2, Batch    161, Loss  0.611576, Average Loss  0.624673, Time  0.232110
2021-09-15 02:39:55.266836 : Epoch  1, Batch     72, Loss  0.941291, Average Loss  1.045543, Time  0.258116
2021-09-15 02:39:55.871725 : Epoch  2, Batch    162, Loss  0.623472, Average Loss  0.624683, Time  0.230890
2021-09-15 02:39:56.962009 : Epoch  1, Batch     73, Loss  0.943119, Average Loss  1.044140, Time  0.260597
2021-09-15 02:39:57.414163 : Epoch  2, Batch    163, Loss  0.625386, Average Loss  0.624688, Time  0.231351
2021-09-15 02:39:58.637399 : Epoch  1, Batch     74, Loss  0.940514, Average Loss  1.042740, Time  0.256273
2021-09-15 02:39:58.966377 : Epoch  2, Batch    164, Loss  0.613610, Average Loss  0.624625, Time  0.231318
2021-09-15 02:40:00.311254 : Epoch  1, Batch     75, Loss  0.948239, Average Loss  1.041480, Time  0.257647
2021-09-15 02:40:00.504879 : Epoch  2, Batch    165, Loss  0.626700, Average Loss  0.624606, Time  0.231264
2021-09-15 02:40:01.867986 : Epoch  1, Batch     76, Loss  0.941750, Average Loss  1.040167, Time  0.239763
2021-09-15 02:40:02.051869 : Epoch  2, Batch    166, Loss  0.620025, Average Loss  0.624553, Time  0.231624
2021-09-15 02:40:03.407380 : Epoch  1, Batch     77, Loss  0.940807, Average Loss  1.038877, Time  0.241022
2021-09-15 02:40:03.598271 : Epoch  2, Batch    167, Loss  0.636127, Average Loss  0.624609, Time  0.231858
2021-09-15 02:40:04.930902 : Epoch  1, Batch     78, Loss  0.944686, Average Loss  1.037669, Time  0.240100
2021-09-15 02:40:05.141771 : Epoch  2, Batch    168, Loss  0.611519, Average Loss  0.624455, Time  0.231237
2021-09-15 02:40:06.465779 : Epoch  1, Batch     79, Loss  0.931877, Average Loss  1.036330, Time  0.241136
2021-09-15 02:40:06.672255 : Epoch  2, Batch    169, Loss  0.620134, Average Loss  0.624434, Time  0.231001
2021-09-15 02:40:08.010961 : Epoch  1, Batch     80, Loss  0.929977, Average Loss  1.035001, Time  0.241729
2021-09-15 02:40:08.210823 : Epoch  2, Batch    170, Loss  0.621528, Average Loss  0.624463, Time  0.231311
2021-09-15 02:40:09.543763 : Epoch  1, Batch     81, Loss  0.934793, Average Loss  1.033764, Time  0.239476
2021-09-15 02:40:09.747382 : Epoch  2, Batch    171, Loss  0.624231, Average Loss  0.624458, Time  0.231153
2021-09-15 02:40:11.072984 : Epoch  1, Batch     82, Loss  0.927855, Average Loss  1.032472, Time  0.241578
2021-09-15 02:40:11.276881 : Epoch  2, Batch    172, Loss  0.607603, Average Loss  0.624365, Time  0.231166
2021-09-15 02:40:12.611886 : Epoch  1, Batch     83, Loss  0.929226, Average Loss  1.031228, Time  0.240134
2021-09-15 02:40:12.812844 : Epoch  2, Batch    173, Loss  0.625517, Average Loss  0.624357, Time  0.231745
2021-09-15 02:40:14.151481 : Epoch  1, Batch     84, Loss  0.928903, Average Loss  1.030010, Time  0.241502
2021-09-15 02:40:14.348119 : Epoch  2, Batch    174, Loss  0.619600, Average Loss  0.624362, Time  0.232564
2021-09-15 02:40:15.673032 : Epoch  1, Batch     85, Loss  0.919369, Average Loss  1.028708, Time  0.240064
2021-09-15 02:40:15.889201 : Epoch  2, Batch    175, Loss  0.618902, Average Loss  0.624340, Time  0.233748
2021-09-15 02:40:17.198934 : Epoch  1, Batch     86, Loss  0.906328, Average Loss  1.027285, Time  0.238625
2021-09-15 02:40:17.425984 : Epoch  2, Batch    176, Loss  0.623412, Average Loss  0.624262, Time  0.231662
2021-09-15 02:40:18.749562 : Epoch  1, Batch     87, Loss  0.908508, Average Loss  1.025920, Time  0.239716
2021-09-15 02:40:18.949157 : Epoch  2, Batch    177, Loss  0.619058, Average Loss  0.624248, Time  0.231133
2021-09-15 02:40:19.599769 : CheckPoint: Validation Loss  0.00031587, Best Loss  0.00031587
2021-09-15 02:40:19.629485 : Best Model Updated
2021-09-15 02:40:20.287825 : Epoch  1, Batch     88, Loss  0.895364, Average Loss  1.024436, Time  0.239681
2021-09-15 02:40:20.495200 : Epoch  2, Batch    178, Loss  0.622709, Average Loss  0.624229, Time  0.231771
2021-09-15 02:40:21.840937 : Epoch  1, Batch     89, Loss  0.885344, Average Loss  1.022874, Time  0.240343
2021-09-15 02:40:22.052001 : Epoch  2, Batch    179, Loss  0.611337, Average Loss  0.624100, Time  0.231529
2021-09-15 02:40:23.363884 : Epoch  1, Batch     90, Loss  0.870239, Average Loss  1.021178, Time  0.239732
2021-09-15 02:40:23.518978 : Epoch  1, Batch    301, Loss  0.897986, Average Loss  1.039020, Time  0.266750
2021-09-15 02:40:23.592854 : Epoch  2, Batch    180, Loss  0.623116, Average Loss  0.624089, Time  0.231277
2021-09-15 02:40:24.906049 : Epoch  1, Batch     91, Loss  0.847888, Average Loss  1.019273, Time  0.240836
2021-09-15 02:40:25.132990 : Epoch  2, Batch    181, Loss  0.611395, Average Loss  0.624053, Time  0.231621
2021-09-15 02:40:26.430398 : Epoch  1, Batch     92, Loss  0.828174, Average Loss  1.017196, Time  0.238271
2021-09-15 02:40:26.494935 : Epoch  1, Batch    302, Loss  0.898863, Average Loss  1.036193, Time  0.265162
2021-09-15 02:40:26.669409 : Epoch  2, Batch    182, Loss  0.628795, Average Loss  0.624093, Time  0.232221
2021-09-15 02:40:27.951780 : Epoch  1, Batch     93, Loss  0.827423, Average Loss  1.015156, Time  0.238625
2021-09-15 02:40:28.226092 : Epoch  2, Batch    183, Loss  0.613136, Average Loss  0.624090, Time  0.231522
2021-09-15 02:40:29.487878 : Epoch  1, Batch     94, Loss  0.828504, Average Loss  1.013170, Time  0.240055
2021-09-15 02:40:29.501866 : Epoch  1, Batch    303, Loss  0.917297, Average Loss  1.033495, Time  0.264843
2021-09-15 02:40:31.029073 : Epoch  1, Batch     95, Loss  0.816729, Average Loss  1.011102, Time  0.240398
2021-09-15 02:40:32.130821 : Epoch  2, Batch    184, Loss  0.625238, Average Loss  0.624126, Time  0.271107
2021-09-15 02:40:32.523765 : Epoch  1, Batch    304, Loss  0.897818, Average Loss  1.030694, Time  0.265503
2021-09-15 02:40:32.563375 : Epoch  1, Batch     96, Loss  0.825211, Average Loss  1.009166, Time  0.241134
2021-09-15 02:40:33.677581 : Epoch  2, Batch    185, Loss  0.627420, Average Loss  0.624151, Time  0.249523
2021-09-15 02:40:34.089988 : Epoch  1, Batch     97, Loss  0.813574, Average Loss  1.007149, Time  0.239656
2021-09-15 02:40:35.211371 : Epoch  2, Batch    186, Loss  0.621620, Average Loss  0.624146, Time  0.231738
2021-09-15 02:40:35.540414 : Epoch  1, Batch    305, Loss  0.903224, Average Loss  1.028037, Time  0.264789
2021-09-15 02:40:35.649118 : Epoch  1, Batch     98, Loss  0.825045, Average Loss  1.005291, Time  0.257724
2021-09-15 02:40:36.738984 : Epoch  2, Batch    187, Loss  0.612394, Average Loss  0.624018, Time  0.231422
2021-09-15 02:40:37.188868 : Epoch  1, Batch     99, Loss  0.801457, Average Loss  1.003232, Time  0.240105
2021-09-15 02:40:38.279852 : Epoch  2, Batch    188, Loss  0.618730, Average Loss  0.623943, Time  0.231358
2021-09-15 02:40:38.538478 : Epoch  1, Batch    306, Loss  0.895189, Average Loss  1.025395, Time  0.264818
2021-09-15 02:40:38.714349 : Epoch  1, Batch    100, Loss  0.807579, Average Loss  1.001276, Time  0.238775
2021-09-15 02:40:39.823096 : Epoch  2, Batch    189, Loss  0.622910, Average Loss  0.623885, Time  0.231615
2021-09-15 02:40:41.362398 : Epoch  2, Batch    190, Loss  0.611995, Average Loss  0.623779, Time  0.231527
2021-09-15 02:40:41.534146 : Epoch  1, Batch    307, Loss  0.903959, Average Loss  1.022843, Time  0.264602
2021-09-15 02:40:42.923359 : Epoch  2, Batch    191, Loss  0.612698, Average Loss  0.623712, Time  0.230934
2021-09-15 02:40:44.463760 : Epoch  2, Batch    192, Loss  0.613114, Average Loss  0.623624, Time  0.236260
2021-09-15 02:40:44.530810 : Epoch  1, Batch    308, Loss  0.891752, Average Loss  1.020263, Time  0.265775
2021-09-15 02:40:46.000381 : Epoch  2, Batch    193, Loss  0.617543, Average Loss  0.623574, Time  0.230968
2021-09-15 02:40:47.538690 : Epoch  2, Batch    194, Loss  0.619227, Average Loss  0.623528, Time  0.231014
2021-09-15 02:40:47.564850 : Epoch  1, Batch    309, Loss  0.926275, Average Loss  1.017971, Time  0.263824
2021-09-15 02:40:49.082554 : Epoch  2, Batch    195, Loss  0.624468, Average Loss  0.623536, Time  0.231764
2021-09-15 02:40:50.620036 : Epoch  2, Batch    196, Loss  0.616936, Average Loss  0.623497, Time  0.230927
2021-09-15 02:40:50.630523 : Epoch  1, Batch    310, Loss  0.878636, Average Loss  1.015323, Time  0.265695
2021-09-15 02:40:52.160352 : Epoch  2, Batch    197, Loss  0.607208, Average Loss  0.623443, Time  0.230692
2021-09-15 02:40:53.682121 : Epoch  1, Batch    311, Loss  0.905574, Average Loss  1.012974, Time  0.264799
2021-09-15 02:40:53.711059 : Epoch  2, Batch    198, Loss  0.611235, Average Loss  0.623409, Time  0.231380
2021-09-15 02:40:55.245564 : Epoch  2, Batch    199, Loss  0.602545, Average Loss  0.623320, Time  0.231088
2021-09-15 02:40:56.672328 : Epoch  1, Batch    312, Loss  0.902193, Average Loss  1.010688, Time  0.263610
2021-09-15 02:40:56.781339 : Epoch  2, Batch    200, Loss  0.628219, Average Loss  0.623371, Time  0.231086
2021-09-15 02:40:58.311110 : Epoch  2, Batch    201, Loss  0.620168, Average Loss  0.623299, Time  0.230829
2021-09-15 02:40:59.675076 : Epoch  1, Batch    313, Loss  0.920581, Average Loss  1.008430, Time  0.265653
2021-09-15 02:40:59.846011 : Epoch  2, Batch    202, Loss  0.622077, Average Loss  0.623308, Time  0.231644
2021-09-15 02:41:01.379358 : Epoch  2, Batch    203, Loss  0.619825, Average Loss  0.623311, Time  0.230827
2021-09-15 02:41:02.688759 : Epoch  1, Batch    314, Loss  0.891421, Average Loss  1.006087, Time  0.276535
2021-09-15 02:41:02.918403 : Epoch  2, Batch    204, Loss  0.621076, Average Loss  0.623256, Time  0.231860
2021-09-15 02:41:04.456437 : Epoch  2, Batch    205, Loss  0.621362, Average Loss  0.623232, Time  0.231369
2021-09-15 02:41:05.712147 : Epoch  1, Batch    315, Loss  0.882967, Average Loss  1.003783, Time  0.265239
2021-09-15 02:41:06.008744 : Epoch  2, Batch    206, Loss  0.612220, Average Loss  0.623123, Time  0.231082
2021-09-15 02:41:07.533143 : Epoch  2, Batch    207, Loss  0.620889, Average Loss  0.623135, Time  0.232728
2021-09-15 02:41:08.708339 : Epoch  1, Batch    316, Loss  0.898590, Average Loss  1.001638, Time  0.264764
2021-09-15 02:41:09.070207 : Epoch  2, Batch    208, Loss  0.618436, Average Loss  0.623085, Time  0.232074
2021-09-15 02:41:10.622466 : Epoch  2, Batch    209, Loss  0.613890, Average Loss  0.623026, Time  0.233239
2021-09-15 02:41:11.722942 : Epoch  1, Batch    317, Loss  0.894579, Average Loss  0.999425, Time  0.264889
2021-09-15 02:41:12.159102 : Epoch  2, Batch    210, Loss  0.613998, Average Loss  0.622979, Time  0.231148
2021-09-15 02:41:13.690551 : Epoch  2, Batch    211, Loss  0.623912, Average Loss  0.623028, Time  0.230983
2021-09-15 02:41:14.752324 : Epoch  1, Batch    318, Loss  0.891985, Average Loss  0.997187, Time  0.268036
2021-09-15 02:41:15.242044 : Epoch  2, Batch    212, Loss  0.613634, Average Loss  0.622998, Time  0.235108
2021-09-15 02:41:17.764863 : Epoch  1, Batch    319, Loss  0.899433, Average Loss  0.995008, Time  0.265199
2021-09-15 02:41:19.159810 : Epoch  2, Batch    213, Loss  0.615228, Average Loss  0.622995, Time  0.272304
2021-09-15 02:41:20.781998 : Epoch  1, Batch    320, Loss  0.894106, Average Loss  0.992886, Time  0.265267
2021-09-15 02:41:23.791220 : Epoch  1, Batch    321, Loss  0.913112, Average Loss  0.990961, Time  0.265128
2021-09-15 02:41:26.794901 : Epoch  1, Batch    322, Loss  0.868492, Average Loss  0.988773, Time  0.264694
2021-09-15 02:41:29.841164 : Epoch  1, Batch    323, Loss  0.910584, Average Loss  0.986759, Time  0.265923
2021-09-15 02:41:32.863849 : Epoch  1, Batch    324, Loss  0.883762, Average Loss  0.984803, Time  0.266080
2021-09-15 02:41:35.871855 : Epoch  1, Batch    325, Loss  0.909588, Average Loss  0.982937, Time  0.266264
2021-09-15 02:41:38.873103 : Epoch  1, Batch    326, Loss  0.895672, Average Loss  0.981038, Time  0.264545
2021-09-15 02:41:40.065701 : CheckPoint: Validation Loss  0.00032265, Best Loss  0.00032265
2021-09-15 02:41:40.102555 : Best Model Updated
2021-09-15 02:41:41.864153 : Epoch  1, Batch    327, Loss  0.895809, Average Loss  0.979100, Time  0.264537
2021-09-15 02:41:42.704209 : Epoch  1, Batch    101, Loss  0.765721, Average Loss  0.998944, Time  0.239242
2021-09-15 02:41:44.234357 : Epoch  1, Batch    102, Loss  0.745803, Average Loss  0.996462, Time  0.241810
2021-09-15 02:41:44.870976 : Epoch  1, Batch    328, Loss  0.909585, Average Loss  0.977266, Time  0.264615
2021-09-15 02:41:45.754955 : Epoch  1, Batch    103, Loss  0.734735, Average Loss  0.993921, Time  0.239303
2021-09-15 02:41:47.448325 : Epoch  1, Batch    104, Loss  0.727080, Average Loss  0.991355, Time  0.260184
2021-09-15 02:41:47.868841 : Epoch  1, Batch    329, Loss  0.915362, Average Loss  0.975443, Time  0.274261
2021-09-15 02:41:49.007146 : Epoch  1, Batch    105, Loss  0.708084, Average Loss  0.988657, Time  0.240171
2021-09-15 02:41:50.532322 : Epoch  1, Batch    106, Loss  0.703377, Average Loss  0.985966, Time  0.238845
2021-09-15 02:41:50.876625 : Epoch  1, Batch    330, Loss  0.916526, Average Loss  0.973656, Time  0.265456
2021-09-15 02:41:52.251003 : Epoch  1, Batch    107, Loss  0.694451, Average Loss  0.983241, Time  0.257554
2021-09-15 02:41:53.917750 : Epoch  1, Batch    331, Loss  0.917666, Average Loss  0.971966, Time  0.266496
2021-09-15 02:41:53.931022 : Epoch  1, Batch    108, Loss  0.684575, Average Loss  0.980476, Time  0.258503
2021-09-15 02:41:55.616811 : Epoch  1, Batch    109, Loss  0.672858, Average Loss  0.977654, Time  0.259104
2021-09-15 02:41:56.953206 : Epoch  1, Batch    332, Loss  0.894555, Average Loss  0.970126, Time  0.264599
2021-09-15 02:41:57.354390 : Epoch  1, Batch    110, Loss  0.686046, Average Loss  0.975003, Time  0.259352
2021-09-15 02:41:59.041950 : Epoch  1, Batch    111, Loss  0.678879, Average Loss  0.972335, Time  0.259545
2021-09-15 02:41:59.952793 : Epoch  1, Batch    333, Loss  0.907199, Average Loss  0.968366, Time  0.264461
2021-09-15 02:42:00.732896 : Epoch  1, Batch    112, Loss  0.673067, Average Loss  0.969663, Time  0.260454
2021-09-15 02:42:02.423403 : Epoch  1, Batch    113, Loss  0.686119, Average Loss  0.967154, Time  0.259192
2021-09-15 02:42:02.968722 : Epoch  1, Batch    334, Loss  0.897734, Average Loss  0.966603, Time  0.265767
2021-09-15 02:42:04.092316 : Epoch  1, Batch    114, Loss  0.686234, Average Loss  0.964690, Time  0.239733
2021-09-15 02:42:05.638444 : Epoch  1, Batch    115, Loss  0.676878, Average Loss  0.962187, Time  0.239733
2021-09-15 02:42:06.023503 : Epoch  1, Batch    335, Loss  0.896075, Average Loss  0.964790, Time  0.265214
2021-09-15 02:42:07.164451 : Epoch  1, Batch    116, Loss  0.667814, Average Loss  0.959649, Time  0.243807
2021-09-15 02:42:08.852957 : Epoch  1, Batch    117, Loss  0.668427, Average Loss  0.957160, Time  0.260922
2021-09-15 02:42:09.052881 : Epoch  1, Batch    336, Loss  0.916442, Average Loss  0.963350, Time  0.264241
2021-09-15 02:42:10.377897 : Epoch  1, Batch    118, Loss  0.669269, Average Loss  0.954720, Time  0.239272
2021-09-15 02:42:11.913885 : Epoch  1, Batch    119, Loss  0.672982, Average Loss  0.952353, Time  0.239945
2021-09-15 02:42:12.069623 : Epoch  1, Batch    337, Loss  0.906676, Average Loss  0.961811, Time  0.265644
2021-09-15 02:42:13.441366 : Epoch  1, Batch    120, Loss  0.673008, Average Loss  0.950025, Time  0.238812
2021-09-15 02:42:14.966229 : Epoch  1, Batch    121, Loss  0.672284, Average Loss  0.947729, Time  0.238773
2021-09-15 02:42:15.083768 : Epoch  1, Batch    338, Loss  0.901269, Average Loss  0.960292, Time  0.266648
2021-09-15 02:42:16.506120 : Epoch  1, Batch    122, Loss  0.660645, Average Loss  0.945376, Time  0.239844
2021-09-15 02:42:16.550939 : CheckPoint: Validation Loss  0.00025863, Best Loss  0.00025295
2021-09-15 02:42:18.054862 : Epoch  1, Batch    123, Loss  0.670886, Average Loss  0.943145, Time  0.235764
2021-09-15 02:42:18.070265 : Epoch  1, Batch    339, Loss  0.905541, Average Loss  0.958926, Time  0.264675
2021-09-15 02:42:18.111104 : Epoch  2, Batch    214, Loss  0.627822, Average Loss  0.623024, Time  0.249727
2021-09-15 02:42:19.581926 : Epoch  1, Batch    124, Loss  0.675653, Average Loss  0.940988, Time  0.236326
2021-09-15 02:42:19.652825 : Epoch  2, Batch    215, Loss  0.612382, Average Loss  0.622939, Time  0.234763
2021-09-15 02:42:21.116421 : Epoch  1, Batch    340, Loss  0.909006, Average Loss  0.957561, Time  0.265837
2021-09-15 02:42:21.155061 : Epoch  1, Batch    125, Loss  0.669431, Average Loss  0.938815, Time  0.241395
2021-09-15 02:42:21.233113 : Epoch  2, Batch    216, Loss  0.622109, Average Loss  0.622951, Time  0.232050
2021-09-15 02:42:22.703886 : Epoch  1, Batch    126, Loss  0.660199, Average Loss  0.936604, Time  0.241934
2021-09-15 02:42:22.764934 : Epoch  2, Batch    217, Loss  0.626020, Average Loss  0.622944, Time  0.232289
2021-09-15 02:42:24.160202 : Epoch  1, Batch    341, Loss  0.926372, Average Loss  0.956226, Time  0.266427
2021-09-15 02:42:24.233042 : Epoch  1, Batch    127, Loss  0.674285, Average Loss  0.934538, Time  0.240156
2021-09-15 02:42:24.306370 : Epoch  2, Batch    218, Loss  0.614969, Average Loss  0.622932, Time  0.231458
2021-09-15 02:42:25.753882 : Epoch  1, Batch    128, Loss  0.671494, Average Loss  0.932483, Time  0.241410
2021-09-15 02:42:25.840914 : Epoch  2, Batch    219, Loss  0.617115, Average Loss  0.622862, Time  0.231328
2021-09-15 02:42:27.236608 : Epoch  1, Batch    342, Loss  0.901278, Average Loss  0.954841, Time  0.265409
2021-09-15 02:42:27.280785 : Epoch  1, Batch    129, Loss  0.659558, Average Loss  0.930368, Time  0.241550
2021-09-15 02:42:27.382267 : Epoch  2, Batch    220, Loss  0.620552, Average Loss  0.622908, Time  0.231149
2021-09-15 02:42:28.806444 : Epoch  1, Batch    130, Loss  0.664264, Average Loss  0.928321, Time  0.239551
2021-09-15 02:42:28.920119 : Epoch  2, Batch    221, Loss  0.618467, Average Loss  0.622904, Time  0.231207
2021-09-15 02:42:30.288136 : Epoch  1, Batch    343, Loss  0.919865, Average Loss  0.953544, Time  0.265706
2021-09-15 02:42:30.349120 : Epoch  1, Batch    131, Loss  0.664739, Average Loss  0.926309, Time  0.239017
2021-09-15 02:42:30.462057 : Epoch  2, Batch    222, Loss  0.623062, Average Loss  0.622885, Time  0.230617
2021-09-15 02:42:31.884927 : Epoch  1, Batch    132, Loss  0.668383, Average Loss  0.924355, Time  0.241804
2021-09-15 02:42:31.992918 : Epoch  2, Batch    223, Loss  0.629319, Average Loss  0.622909, Time  0.231309
2021-09-15 02:42:33.309251 : Epoch  1, Batch    344, Loss  0.917396, Average Loss  0.952301, Time  0.275381
2021-09-15 02:42:33.415815 : Epoch  1, Batch    133, Loss  0.664755, Average Loss  0.922403, Time  0.240633
2021-09-15 02:42:33.535334 : Epoch  2, Batch    224, Loss  0.618816, Average Loss  0.622960, Time  0.231390
2021-09-15 02:42:34.937849 : Epoch  1, Batch    134, Loss  0.661556, Average Loss  0.920456, Time  0.241215
2021-09-15 02:42:35.076392 : Epoch  2, Batch    225, Loss  0.625339, Average Loss  0.622998, Time  0.231302
2021-09-15 02:42:36.314917 : Epoch  1, Batch    345, Loss  0.894181, Average Loss  0.950961, Time  0.265469
2021-09-15 02:42:36.464798 : Epoch  1, Batch    135, Loss  0.659889, Average Loss  0.918526, Time  0.241231
2021-09-15 02:42:36.611868 : Epoch  2, Batch    226, Loss  0.617962, Average Loss  0.622936, Time  0.231472
2021-09-15 02:42:37.990404 : Epoch  1, Batch    136, Loss  0.664206, Average Loss  0.916656, Time  0.240770
2021-09-15 02:42:38.157379 : Epoch  2, Batch    227, Loss  0.617004, Average Loss  0.622900, Time  0.231040
2021-09-15 02:42:39.324222 : Epoch  1, Batch    346, Loss  0.900146, Average Loss  0.949616, Time  0.264428
2021-09-15 02:42:39.527081 : Epoch  1, Batch    137, Loss  0.662956, Average Loss  0.914804, Time  0.241235
2021-09-15 02:42:39.690368 : Epoch  2, Batch    228, Loss  0.615604, Average Loss  0.622827, Time  0.230885
2021-09-15 02:42:41.066901 : Epoch  1, Batch    138, Loss  0.659297, Average Loss  0.912953, Time  0.240811
2021-09-15 02:42:41.221501 : Epoch  2, Batch    229, Loss  0.612967, Average Loss  0.622757, Time  0.231415
2021-09-15 02:42:42.327440 : Epoch  1, Batch    347, Loss  0.892814, Average Loss  0.948332, Time  0.265213
2021-09-15 02:42:42.607838 : Epoch  1, Batch    139, Loss  0.655502, Average Loss  0.911100, Time  0.240755
2021-09-15 02:42:42.763231 : Epoch  2, Batch    230, Loss  0.621228, Average Loss  0.622736, Time  0.230891
2021-09-15 02:42:44.141411 : Epoch  1, Batch    140, Loss  0.654568, Average Loss  0.909268, Time  0.237903
2021-09-15 02:42:44.297453 : Epoch  2, Batch    231, Loss  0.617989, Average Loss  0.622745, Time  0.231176
2021-09-15 02:42:45.335700 : Epoch  1, Batch    348, Loss  0.899149, Average Loss  0.947065, Time  0.263303
2021-09-15 02:42:45.674015 : Epoch  1, Batch    141, Loss  0.659730, Average Loss  0.907498, Time  0.239265
2021-09-15 02:42:45.841356 : Epoch  2, Batch    232, Loss  0.627563, Average Loss  0.622767, Time  0.230968
2021-09-15 02:42:47.195938 : Epoch  1, Batch    142, Loss  0.659696, Average Loss  0.905753, Time  0.239362
2021-09-15 02:42:47.375352 : Epoch  2, Batch    233, Loss  0.625097, Average Loss  0.622754, Time  0.231389
2021-09-15 02:42:48.340223 : Epoch  1, Batch    349, Loss  0.915724, Average Loss  0.945921, Time  0.265641
2021-09-15 02:42:48.721996 : Epoch  1, Batch    143, Loss  0.649332, Average Loss  0.903960, Time  0.241664
2021-09-15 02:42:48.903664 : Epoch  2, Batch    234, Loss  0.630090, Average Loss  0.622764, Time  0.232776
2021-09-15 02:42:50.232923 : Epoch  1, Batch    144, Loss  0.659730, Average Loss  0.902264, Time  0.238660
2021-09-15 02:42:50.439627 : Epoch  2, Batch    235, Loss  0.607940, Average Loss  0.622710, Time  0.232156
2021-09-15 02:42:51.359351 : Epoch  1, Batch    350, Loss  0.903877, Average Loss  0.944849, Time  0.265168
2021-09-15 02:42:51.752060 : Epoch  1, Batch    145, Loss  0.650381, Average Loss  0.900527, Time  0.240965
2021-09-15 02:42:51.986800 : Epoch  2, Batch    236, Loss  0.620613, Average Loss  0.622702, Time  0.232024
2021-09-15 02:42:53.281754 : Epoch  1, Batch    146, Loss  0.656358, Average Loss  0.898855, Time  0.242307
2021-09-15 02:42:53.526873 : Epoch  2, Batch    237, Loss  0.625513, Average Loss  0.622701, Time  0.233542
2021-09-15 02:42:54.378780 : Epoch  1, Batch    351, Loss  0.904345, Average Loss  0.943785, Time  0.265385
2021-09-15 02:42:54.806850 : Epoch  1, Batch    147, Loss  0.661008, Average Loss  0.897237, Time  0.239129
2021-09-15 02:42:55.064069 : Epoch  2, Batch    238, Loss  0.616527, Average Loss  0.622755, Time  0.231623
2021-09-15 02:42:56.332123 : Epoch  1, Batch    148, Loss  0.656012, Average Loss  0.895607, Time  0.240216
2021-09-15 02:42:56.623354 : Epoch  2, Batch    239, Loss  0.633221, Average Loss  0.622781, Time  0.231032
2021-09-15 02:42:57.419850 : Epoch  1, Batch    352, Loss  0.907789, Average Loss  0.942786, Time  0.265765
2021-09-15 02:42:57.885381 : Epoch  1, Batch    149, Loss  0.653539, Average Loss  0.893982, Time  0.240313
2021-09-15 02:42:58.173429 : Epoch  2, Batch    240, Loss  0.623845, Average Loss  0.622744, Time  0.231639
2021-09-15 02:42:59.437405 : Epoch  1, Batch    150, Loss  0.652981, Average Loss  0.892375, Time  0.239846
2021-09-15 02:42:59.711340 : Epoch  2, Batch    241, Loss  0.613485, Average Loss  0.622692, Time  0.231039
2021-09-15 02:43:00.461966 : Epoch  1, Batch    353, Loss  0.892641, Average Loss  0.941738, Time  0.265258
2021-09-15 02:43:00.971965 : Epoch  1, Batch    151, Loss  0.655852, Average Loss  0.890809, Time  0.239678
2021-09-15 02:43:01.248390 : Epoch  2, Batch    242, Loss  0.607326, Average Loss  0.622626, Time  0.231712
2021-09-15 02:43:02.524447 : Epoch  1, Batch    152, Loss  0.657031, Average Loss  0.889271, Time  0.241836
2021-09-15 02:43:02.811965 : Epoch  2, Batch    243, Loss  0.618659, Average Loss  0.622585, Time  0.231960
2021-09-15 02:43:03.507434 : Epoch  1, Batch    354, Loss  0.874780, Average Loss  0.940587, Time  0.265736
2021-09-15 02:43:04.055893 : Epoch  1, Batch    153, Loss  0.653330, Average Loss  0.887729, Time  0.240078
2021-09-15 02:43:04.345395 : Epoch  2, Batch    244, Loss  0.622496, Average Loss  0.622612, Time  0.231099
2021-09-15 02:43:05.584396 : Epoch  1, Batch    154, Loss  0.651720, Average Loss  0.886196, Time  0.239430
2021-09-15 02:43:05.882363 : Epoch  2, Batch    245, Loss  0.628854, Average Loss  0.622633, Time  0.231220
2021-09-15 02:43:06.526887 : Epoch  1, Batch    355, Loss  0.877699, Average Loss  0.939535, Time  0.264296
2021-09-15 02:43:07.109022 : Epoch  1, Batch    155, Loss  0.646746, Average Loss  0.884651, Time  0.240557
2021-09-15 02:43:07.434550 : Epoch  2, Batch    246, Loss  0.625697, Average Loss  0.622679, Time  0.231682
2021-09-15 02:43:08.641861 : Epoch  1, Batch    156, Loss  0.650670, Average Loss  0.883152, Time  0.239129
2021-09-15 02:43:08.988538 : Epoch  2, Batch    247, Loss  0.627407, Average Loss  0.622695, Time  0.231252
2021-09-15 02:43:09.530728 : Epoch  1, Batch    356, Loss  0.926242, Average Loss  0.938734, Time  0.265017
2021-09-15 02:43:10.174827 : Epoch  1, Batch    157, Loss  0.641222, Average Loss  0.881611, Time  0.243664
2021-09-15 02:43:10.522096 : Epoch  2, Batch    248, Loss  0.613672, Average Loss  0.622612, Time  0.231418
2021-09-15 02:43:11.700389 : Epoch  1, Batch    158, Loss  0.648358, Average Loss  0.880134, Time  0.240813
2021-09-15 02:43:12.121371 : Epoch  2, Batch    249, Loss  0.631511, Average Loss  0.622681, Time  0.233099
2021-09-15 02:43:12.565867 : Epoch  1, Batch    357, Loss  0.889900, Average Loss  0.937767, Time  0.264902
2021-09-15 02:43:13.231724 : Epoch  1, Batch    159, Loss  0.661040, Average Loss  0.878756, Time  0.239429
2021-09-15 02:43:13.653362 : Epoch  2, Batch    250, Loss  0.615703, Average Loss  0.622693, Time  0.232049
2021-09-15 02:43:14.776001 : Epoch  1, Batch    160, Loss  0.651828, Average Loss  0.877338, Time  0.239973
2021-09-15 02:43:15.176640 : Epoch  2, Batch    251, Loss  0.611776, Average Loss  0.622520, Time  0.231054
2021-09-15 02:43:15.616672 : Epoch  1, Batch    358, Loss  0.900544, Average Loss  0.936907, Time  0.264491
2021-09-15 02:43:16.357917 : Epoch  1, Batch    161, Loss  0.654112, Average Loss  0.875952, Time  0.242018
2021-09-15 02:43:16.703201 : Epoch  2, Batch    252, Loss  0.616717, Average Loss  0.622297, Time  0.232726
2021-09-15 02:43:17.886948 : Epoch  1, Batch    162, Loss  0.651184, Average Loss  0.874564, Time  0.242476
2021-09-15 02:43:18.252971 : Epoch  2, Batch    253, Loss  0.612760, Average Loss  0.622055, Time  0.231583
2021-09-15 02:43:18.627420 : Epoch  1, Batch    359, Loss  0.903974, Average Loss  0.935964, Time  0.274870
2021-09-15 02:43:19.419242 : Epoch  1, Batch    163, Loss  0.639506, Average Loss  0.873122, Time  0.240331
2021-09-15 02:43:19.790856 : Epoch  2, Batch    254, Loss  0.603029, Average Loss  0.621782, Time  0.231729
2021-09-15 02:43:20.946909 : Epoch  1, Batch    164, Loss  0.645896, Average Loss  0.871737, Time  0.240490
2021-09-15 02:43:21.320786 : Epoch  2, Batch    255, Loss  0.618805, Average Loss  0.621674, Time  0.230902
2021-09-15 02:43:21.659002 : Epoch  1, Batch    360, Loss  0.912561, Average Loss  0.935154, Time  0.265363
2021-09-15 02:43:22.476000 : Epoch  1, Batch    165, Loss  0.655257, Average Loss  0.870425, Time  0.240853
2021-09-15 02:43:22.866045 : Epoch  2, Batch    256, Loss  0.621213, Average Loss  0.621647, Time  0.231428
2021-09-15 02:43:24.189169 : Epoch  1, Batch    166, Loss  0.650594, Average Loss  0.869100, Time  0.261275
2021-09-15 02:43:24.410360 : Epoch  2, Batch    257, Loss  0.612982, Average Loss  0.621581, Time  0.231266
2021-09-15 02:43:24.697408 : Epoch  1, Batch    361, Loss  0.909089, Average Loss  0.934409, Time  0.266287
2021-09-15 02:43:25.878966 : Epoch  1, Batch    167, Loss  0.661789, Average Loss  0.867859, Time  0.258977
2021-09-15 02:43:25.939959 : Epoch  2, Batch    258, Loss  0.620994, Average Loss  0.621490, Time  0.231496
2021-09-15 02:43:27.495470 : Epoch  2, Batch    259, Loss  0.613011, Average Loss  0.621342, Time  0.233349
2021-09-15 02:43:27.562413 : Epoch  1, Batch    168, Loss  0.644115, Average Loss  0.866527, Time  0.260474
2021-09-15 02:43:27.723255 : Epoch  1, Batch    362, Loss  0.885856, Average Loss  0.933602, Time  0.265924
2021-09-15 02:43:29.044828 : Epoch  2, Batch    260, Loss  0.620169, Average Loss  0.621229, Time  0.231119
2021-09-15 02:43:29.257970 : Epoch  1, Batch    169, Loss  0.647222, Average Loss  0.865229, Time  0.259900
2021-09-15 02:43:30.592445 : Epoch  2, Batch    261, Loss  0.611562, Average Loss  0.621135, Time  0.231418
2021-09-15 02:43:30.740789 : Epoch  1, Batch    363, Loss  0.919382, Average Loss  0.932850, Time  0.265956
2021-09-15 02:43:30.946398 : Epoch  1, Batch    170, Loss  0.642516, Average Loss  0.863919, Time  0.261640
2021-09-15 02:43:32.135090 : Epoch  2, Batch    262, Loss  0.613393, Average Loss  0.621072, Time  0.230815
2021-09-15 02:43:33.673013 : Epoch  2, Batch    263, Loss  0.609119, Average Loss  0.620980, Time  0.231565
2021-09-15 02:43:33.734212 : Epoch  1, Batch    364, Loss  0.913124, Average Loss  0.932095, Time  0.264231
2021-09-15 02:43:35.172365 : Epoch  1, Batch    171, Loss  0.647034, Average Loss  0.862651, Time  0.273382
2021-09-15 02:43:35.215045 : Epoch  2, Batch    264, Loss  0.611059, Average Loss  0.620869, Time  0.231919
2021-09-15 02:43:36.714842 : Epoch  1, Batch    172, Loss  0.646380, Average Loss  0.861394, Time  0.254269
2021-09-15 02:43:36.750963 : Epoch  1, Batch    365, Loss  0.896031, Average Loss  0.931307, Time  0.265490
2021-09-15 02:43:36.766681 : Epoch  2, Batch    265, Loss  0.620278, Average Loss  0.620809, Time  0.232521
2021-09-15 02:43:38.258798 : Epoch  1, Batch    173, Loss  0.636483, Average Loss  0.860094, Time  0.241035
2021-09-15 02:43:38.318430 : Epoch  2, Batch    266, Loss  0.613811, Average Loss  0.620789, Time  0.231487
2021-09-15 02:43:39.778783 : Epoch  1, Batch    366, Loss  0.892952, Average Loss  0.930632, Time  0.266680
2021-09-15 02:43:39.802916 : Epoch  1, Batch    174, Loss  0.644807, Average Loss  0.858856, Time  0.240740
2021-09-15 02:43:39.865583 : Epoch  2, Batch    267, Loss  0.627133, Average Loss  0.620807, Time  0.233880
2021-09-15 02:43:41.334317 : Epoch  1, Batch    175, Loss  0.650858, Average Loss  0.857668, Time  0.241433
2021-09-15 02:43:41.403041 : Epoch  2, Batch    268, Loss  0.626074, Average Loss  0.620735, Time  0.232378
2021-09-15 02:43:42.803258 : Epoch  1, Batch    367, Loss  0.888318, Average Loss  0.929769, Time  0.265272
2021-09-15 02:43:42.873096 : Epoch  1, Batch    176, Loss  0.643750, Average Loss  0.856452, Time  0.239032
2021-09-15 02:43:42.948002 : Epoch  2, Batch    269, Loss  0.620550, Average Loss  0.620698, Time  0.231666
2021-09-15 02:43:44.409395 : Epoch  1, Batch    177, Loss  0.655229, Average Loss  0.855315, Time  0.240938
2021-09-15 02:43:44.501500 : Epoch  2, Batch    270, Loss  0.622139, Average Loss  0.620637, Time  0.231246
2021-09-15 02:43:45.821658 : Epoch  1, Batch    368, Loss  0.917867, Average Loss  0.929129, Time  0.265287
2021-09-15 02:43:45.938422 : Epoch  1, Batch    178, Loss  0.649346, Average Loss  0.854158, Time  0.240447
2021-09-15 02:43:46.039886 : Epoch  2, Batch    271, Loss  0.611931, Average Loss  0.620537, Time  0.232020
2021-09-15 02:43:47.472811 : Epoch  1, Batch    179, Loss  0.653942, Average Loss  0.853040, Time  0.241827
2021-09-15 02:43:47.573183 : Epoch  2, Batch    272, Loss  0.615594, Average Loss  0.620461, Time  0.231151
2021-09-15 02:43:48.854058 : Epoch  1, Batch    369, Loss  0.915261, Average Loss  0.928521, Time  0.264810
2021-09-15 02:43:49.024007 : Epoch  1, Batch    180, Loss  0.651451, Average Loss  0.851920, Time  0.242599
2021-09-15 02:43:49.114067 : Epoch  2, Batch    273, Loss  0.634605, Average Loss  0.620470, Time  0.231549
2021-09-15 02:43:50.558841 : Epoch  1, Batch    181, Loss  0.652209, Average Loss  0.850816, Time  0.239530
2021-09-15 02:43:50.656496 : Epoch  2, Batch    274, Loss  0.613404, Average Loss  0.620396, Time  0.230742
2021-09-15 02:43:51.859083 : Epoch  1, Batch    370, Loss  0.890718, Average Loss  0.927819, Time  0.265227
2021-09-15 02:43:52.078807 : Epoch  1, Batch    182, Loss  0.646315, Average Loss  0.849693, Time  0.238356
2021-09-15 02:43:52.195034 : Epoch  2, Batch    275, Loss  0.616757, Average Loss  0.620302, Time  0.231450
2021-09-15 02:43:53.595067 : Epoch  1, Batch    183, Loss  0.647662, Average Loss  0.848589, Time  0.240388
2021-09-15 02:43:53.731986 : Epoch  2, Batch    276, Loss  0.614694, Average Loss  0.620275, Time  0.232063
2021-09-15 02:43:54.866096 : Epoch  1, Batch    371, Loss  0.881465, Average Loss  0.927092, Time  0.264700
2021-09-15 02:43:55.129044 : Epoch  1, Batch    184, Loss  0.639966, Average Loss  0.847455, Time  0.241423
2021-09-15 02:43:55.270379 : Epoch  2, Batch    277, Loss  0.617960, Average Loss  0.620218, Time  0.231360
2021-09-15 02:43:56.650809 : Epoch  1, Batch    185, Loss  0.652739, Average Loss  0.846402, Time  0.238136
2021-09-15 02:43:56.813969 : Epoch  2, Batch    278, Loss  0.613304, Average Loss  0.620110, Time  0.232071
2021-09-15 02:43:57.883733 : Epoch  1, Batch    372, Loss  0.898952, Average Loss  0.926467, Time  0.264619
2021-09-15 02:43:58.198868 : Epoch  1, Batch    186, Loss  0.654060, Average Loss  0.845368, Time  0.241233
2021-09-15 02:43:58.348166 : Epoch  2, Batch    279, Loss  0.610080, Average Loss  0.619999, Time  0.231396
2021-09-15 02:43:59.719133 : Epoch  1, Batch    187, Loss  0.641510, Average Loss  0.844278, Time  0.240400
2021-09-15 02:43:59.878563 : Epoch  2, Batch    280, Loss  0.614695, Average Loss  0.619890, Time  0.231895
2021-09-15 02:44:00.914980 : Epoch  1, Batch    373, Loss  0.899137, Average Loss  0.925827, Time  0.266438
2021-09-15 02:44:01.399082 : Epoch  1, Batch    188, Loss  0.640349, Average Loss  0.843194, Time  0.242468
2021-09-15 02:44:01.427037 : Epoch  2, Batch    281, Loss  0.629288, Average Loss  0.619942, Time  0.231542
2021-09-15 02:44:02.932869 : Epoch  1, Batch    189, Loss  0.650531, Average Loss  0.842174, Time  0.240589
2021-09-15 02:44:02.972241 : Epoch  2, Batch    282, Loss  0.620028, Average Loss  0.619902, Time  0.231597
2021-09-15 02:44:03.956147 : Epoch  1, Batch    374, Loss  0.901736, Average Loss  0.925214, Time  0.274419
2021-09-15 02:44:04.473060 : Epoch  1, Batch    190, Loss  0.648287, Average Loss  0.841154, Time  0.239267
2021-09-15 02:44:04.520600 : Epoch  2, Batch    283, Loss  0.623450, Average Loss  0.619865, Time  0.231346
2021-09-15 02:44:05.994785 : Epoch  1, Batch    191, Loss  0.650293, Average Loss  0.840154, Time  0.239391
2021-09-15 02:44:06.976504 : Epoch  1, Batch    375, Loss  0.898116, Average Loss  0.924678, Time  0.264861
2021-09-15 02:44:07.523358 : Epoch  1, Batch    192, Loss  0.650304, Average Loss  0.839166, Time  0.240733
2021-09-15 02:44:08.414370 : Epoch  2, Batch    284, Loss  0.627008, Average Loss  0.619854, Time  0.268754
2021-09-15 02:44:09.059918 : Epoch  1, Batch    193, Loss  0.642072, Average Loss  0.838144, Time  0.240008
2021-09-15 02:44:09.976365 : Epoch  2, Batch    285, Loss  0.622129, Average Loss  0.619845, Time  0.245832
2021-09-15 02:44:10.017429 : Epoch  1, Batch    376, Loss  0.885974, Average Loss  0.924152, Time  0.265955
2021-09-15 02:44:10.587007 : Epoch  1, Batch    194, Loss  0.638439, Average Loss  0.837115, Time  0.240767
2021-09-15 02:44:11.523959 : Epoch  2, Batch    286, Loss  0.620432, Average Loss  0.619849, Time  0.230870
2021-09-15 02:44:12.284034 : Epoch  1, Batch    195, Loss  0.640515, Average Loss  0.836107, Time  0.257125
2021-09-15 02:44:13.061029 : Epoch  1, Batch    377, Loss  0.886113, Average Loss  0.923509, Time  0.264287
2021-09-15 02:44:13.062581 : Epoch  2, Batch    287, Loss  0.621064, Average Loss  0.619875, Time  0.231839
2021-09-15 02:44:14.001869 : Epoch  1, Batch    196, Loss  0.652535, Average Loss  0.835170, Time  0.261177
2021-09-15 02:44:14.637364 : Epoch  2, Batch    288, Loss  0.621328, Average Loss  0.619882, Time  0.231194
2021-09-15 02:44:15.701040 : Epoch  1, Batch    197, Loss  0.648858, Average Loss  0.834224, Time  0.260981
2021-09-15 02:44:16.094139 : Epoch  1, Batch    378, Loss  0.890276, Average Loss  0.922962, Time  0.266572
2021-09-15 02:44:16.191220 : Epoch  2, Batch    289, Loss  0.612754, Average Loss  0.619802, Time  0.231538
2021-09-15 02:44:17.399045 : Epoch  1, Batch    198, Loss  0.638731, Average Loss  0.833237, Time  0.259927
2021-09-15 02:44:17.727996 : Epoch  2, Batch    290, Loss  0.618557, Average Loss  0.619725, Time  0.231916
2021-09-15 02:44:19.083167 : Epoch  1, Batch    199, Loss  0.655082, Average Loss  0.832342, Time  0.260772
2021-09-15 02:44:19.101091 : Epoch  1, Batch    379, Loss  0.900337, Average Loss  0.922515, Time  0.265109
2021-09-15 02:44:19.267806 : Epoch  2, Batch    291, Loss  0.617542, Average Loss  0.619679, Time  0.231177
2021-09-15 02:44:20.770424 : Epoch  1, Batch    200, Loss  0.650806, Average Loss  0.831434, Time  0.260089
2021-09-15 02:44:20.806788 : Epoch  2, Batch    292, Loss  0.614694, Average Loss  0.619625, Time  0.230864
2021-09-15 02:44:22.152519 : Epoch  1, Batch    380, Loss  0.899729, Average Loss  0.922009, Time  0.266448
2021-09-15 02:44:22.358564 : Epoch  2, Batch    293, Loss  0.618111, Average Loss  0.619584, Time  0.230881
2021-09-15 02:44:23.900420 : Epoch  2, Batch    294, Loss  0.614552, Average Loss  0.619600, Time  0.231680
2021-09-15 02:44:25.201136 : Epoch  1, Batch    381, Loss  0.889131, Average Loss  0.921408, Time  0.265892
2021-09-15 02:44:25.449980 : Epoch  2, Batch    295, Loss  0.624300, Average Loss  0.619667, Time  0.231705
2021-09-15 02:44:26.986953 : Epoch  2, Batch    296, Loss  0.613179, Average Loss  0.619604, Time  0.231203
2021-09-15 02:44:28.254290 : Epoch  1, Batch    382, Loss  0.909141, Average Loss  0.920958, Time  0.266334
2021-09-15 02:44:28.525569 : Epoch  2, Batch    297, Loss  0.619369, Average Loss  0.619608, Time  0.231047
2021-09-15 02:44:30.069549 : Epoch  2, Batch    298, Loss  0.614658, Average Loss  0.619629, Time  0.234604
2021-09-15 02:44:31.285527 : Epoch  1, Batch    383, Loss  0.897967, Average Loss  0.920379, Time  0.264821
2021-09-15 02:44:31.623916 : Epoch  2, Batch    299, Loss  0.613085, Average Loss  0.619538, Time  0.231488
2021-09-15 02:44:33.169401 : Epoch  2, Batch    300, Loss  0.624198, Average Loss  0.619565, Time  0.231339
2021-09-15 02:44:34.286189 : Epoch  1, Batch    384, Loss  0.897851, Average Loss  0.919910, Time  0.264745
2021-09-15 02:44:34.719038 : Epoch  2, Batch    301, Loss  0.617891, Average Loss  0.619514, Time  0.231711
2021-09-15 02:44:36.257608 : Epoch  2, Batch    302, Loss  0.620753, Average Loss  0.619481, Time  0.232123
2021-09-15 02:44:37.298390 : Epoch  1, Batch    385, Loss  0.886327, Average Loss  0.919445, Time  0.265737
2021-09-15 02:44:37.810218 : Epoch  2, Batch    303, Loss  0.628802, Average Loss  0.619577, Time  0.231165
2021-09-15 02:44:39.355871 : Epoch  2, Batch    304, Loss  0.616525, Average Loss  0.619574, Time  0.230784
2021-09-15 02:44:40.335810 : Epoch  1, Batch    386, Loss  0.900368, Average Loss  0.918975, Time  0.264518
2021-09-15 02:44:40.907653 : Epoch  2, Batch    305, Loss  0.615952, Average Loss  0.619524, Time  0.231303
2021-09-15 02:44:42.464495 : Epoch  2, Batch    306, Loss  0.617420, Average Loss  0.619487, Time  0.231458
2021-09-15 02:44:43.402150 : Epoch  1, Batch    387, Loss  0.874622, Average Loss  0.918331, Time  0.265934
2021-09-15 02:44:44.020078 : Epoch  2, Batch    307, Loss  0.618517, Average Loss  0.619465, Time  0.232753
2021-09-15 02:44:45.571392 : Epoch  2, Batch    308, Loss  0.619100, Average Loss  0.619470, Time  0.231053
2021-09-15 02:44:46.409208 : Epoch  1, Batch    388, Loss  0.876291, Average Loss  0.917798, Time  0.266237
2021-09-15 02:44:47.118117 : Epoch  2, Batch    309, Loss  0.615809, Average Loss  0.619428, Time  0.231269
2021-09-15 02:44:48.666013 : Epoch  2, Batch    310, Loss  0.621623, Average Loss  0.619423, Time  0.232156
2021-09-15 02:44:49.438850 : Epoch  1, Batch    389, Loss  0.878789, Average Loss  0.917320, Time  0.278752
2021-09-15 02:44:50.211728 : Epoch  2, Batch    311, Loss  0.621747, Average Loss  0.619373, Time  0.231324
2021-09-15 02:44:51.768422 : Epoch  2, Batch    312, Loss  0.623700, Average Loss  0.619339, Time  0.232183
2021-09-15 02:44:52.477262 : Epoch  1, Batch    390, Loss  0.893459, Average Loss  0.916888, Time  0.265387
2021-09-15 02:44:53.326259 : Epoch  2, Batch    313, Loss  0.611146, Average Loss  0.619269, Time  0.231763
2021-09-15 02:44:55.504028 : Epoch  1, Batch    391, Loss  0.891447, Average Loss  0.916413, Time  0.265315
2021-09-15 02:44:58.530901 : Epoch  1, Batch    392, Loss  0.912386, Average Loss  0.915994, Time  0.264583
2021-09-15 02:45:01.540057 : Epoch  1, Batch    393, Loss  0.881782, Average Loss  0.915529, Time  0.265109
2021-09-15 02:45:04.570639 : Epoch  1, Batch    394, Loss  0.885775, Average Loss  0.915219, Time  0.264760
2021-09-15 02:45:07.581970 : Epoch  1, Batch    395, Loss  0.929218, Average Loss  0.914857, Time  0.264361
2021-09-15 02:45:10.563825 : Epoch  1, Batch    396, Loss  0.886811, Average Loss  0.914431, Time  0.265104
2021-09-15 02:45:13.582495 : Epoch  1, Batch    397, Loss  0.900947, Average Loss  0.914075, Time  0.264651
2021-09-15 02:45:16.592745 : Epoch  1, Batch    398, Loss  0.887074, Average Loss  0.913644, Time  0.267753
2021-09-15 02:45:17.889843 : CheckPoint: Validation Loss  0.00026262, Best Loss  0.00026262
2021-09-15 02:45:17.927675 : Best Model Updated
2021-09-15 02:45:19.606469 : Epoch  1, Batch    399, Loss  0.882946, Average Loss  0.913284, Time  0.265079
2021-09-15 02:45:20.239115 : Epoch  1, Batch    201, Loss  0.641392, Average Loss  0.828183, Time  0.240495
2021-09-15 02:45:21.781700 : Epoch  1, Batch    202, Loss  0.641399, Average Loss  0.824912, Time  0.240861
2021-09-15 02:45:22.615863 : Epoch  1, Batch    400, Loss  0.906654, Average Loss  0.913017, Time  0.264999
2021-09-15 02:45:23.324803 : Epoch  1, Batch    203, Loss  0.644044, Average Loss  0.821670, Time  0.239138
2021-09-15 02:45:24.853011 : Epoch  1, Batch    204, Loss  0.644444, Average Loss  0.818459, Time  0.238649
2021-09-15 02:45:26.530870 : Epoch  1, Batch    205, Loss  0.647474, Average Loss  0.815288, Time  0.257189
2021-09-15 02:45:28.095423 : Epoch  1, Batch    206, Loss  0.637262, Average Loss  0.812076, Time  0.240531
2021-09-15 02:45:29.638839 : Epoch  1, Batch    207, Loss  0.657950, Average Loss  0.809100, Time  0.242267
2021-09-15 02:45:31.165096 : Epoch  1, Batch    208, Loss  0.641287, Average Loss  0.806048, Time  0.240845
2021-09-15 02:45:32.712963 : Epoch  1, Batch    209, Loss  0.642690, Average Loss  0.803048, Time  0.241144
2021-09-15 02:45:34.245010 : Epoch  1, Batch    210, Loss  0.642153, Average Loss  0.800084, Time  0.238274
2021-09-15 02:45:35.769785 : Epoch  1, Batch    211, Loss  0.643220, Average Loss  0.797251, Time  0.238556
2021-09-15 02:45:37.306242 : Epoch  1, Batch    212, Loss  0.651007, Average Loss  0.794505, Time  0.239809
2021-09-15 02:45:38.849121 : Epoch  1, Batch    213, Loss  0.648071, Average Loss  0.791747, Time  0.241491
2021-09-15 02:45:40.374321 : Epoch  1, Batch    214, Loss  0.643479, Average Loss  0.789075, Time  0.238208
2021-09-15 02:45:41.900571 : Epoch  1, Batch    215, Loss  0.647208, Average Loss  0.786513, Time  0.237590
2021-09-15 02:45:43.447533 : Epoch  1, Batch    216, Loss  0.641827, Average Loss  0.783973, Time  0.240521
2021-09-15 02:45:44.974188 : Epoch  1, Batch    217, Loss  0.643402, Average Loss  0.781495, Time  0.238862
2021-09-15 02:45:46.512340 : Epoch  1, Batch    218, Loss  0.648421, Average Loss  0.779100, Time  0.239919
2021-09-15 02:45:48.048830 : Epoch  1, Batch    219, Loss  0.646987, Average Loss  0.776791, Time  0.241563
2021-09-15 02:45:49.586368 : Epoch  1, Batch    220, Loss  0.642627, Average Loss  0.774529, Time  0.239635
2021-09-15 02:45:51.117853 : Epoch  1, Batch    221, Loss  0.638678, Average Loss  0.772302, Time  0.238539
2021-09-15 02:45:51.628731 : CheckPoint: Validation Loss  0.00025692, Best Loss  0.00025295
2021-09-15 02:45:52.648361 : Epoch  1, Batch    222, Loss  0.641146, Average Loss  0.770108, Time  0.237803
2021-09-15 02:45:53.208143 : Epoch  2, Batch    314, Loss  0.620259, Average Loss  0.619328, Time  0.261404
2021-09-15 02:45:54.195410 : Epoch  1, Batch    223, Loss  0.648427, Average Loss  0.767984, Time  0.239604
2021-09-15 02:45:54.755489 : Epoch  2, Batch    315, Loss  0.619447, Average Loss  0.619333, Time  0.233314
2021-09-15 02:45:55.728448 : Epoch  1, Batch    224, Loss  0.643402, Average Loss  0.765913, Time  0.241048
2021-09-15 02:45:56.317187 : Epoch  2, Batch    316, Loss  0.628107, Average Loss  0.619366, Time  0.231389
2021-09-15 02:45:57.253903 : Epoch  1, Batch    225, Loss  0.648194, Average Loss  0.763879, Time  0.240147
2021-09-15 02:45:57.865051 : Epoch  2, Batch    317, Loss  0.614915, Average Loss  0.619385, Time  0.231107
2021-09-15 02:45:58.775741 : Epoch  1, Batch    226, Loss  0.645855, Average Loss  0.761934, Time  0.239887
2021-09-15 02:45:59.415156 : Epoch  2, Batch    318, Loss  0.614646, Average Loss  0.619310, Time  0.231391
2021-09-15 02:46:00.310313 : Epoch  1, Batch    227, Loss  0.645551, Average Loss  0.759938, Time  0.240258
2021-09-15 02:46:00.969184 : Epoch  2, Batch    319, Loss  0.619373, Average Loss  0.619273, Time  0.231422
2021-09-15 02:46:01.852399 : Epoch  1, Batch    228, Loss  0.642831, Average Loss  0.758042, Time  0.243582
2021-09-15 02:46:02.526063 : Epoch  2, Batch    320, Loss  0.624261, Average Loss  0.619297, Time  0.231479
2021-09-15 02:46:03.385763 : Epoch  1, Batch    229, Loss  0.649323, Average Loss  0.756206, Time  0.240453
2021-09-15 02:46:04.074139 : Epoch  2, Batch    321, Loss  0.610236, Average Loss  0.619225, Time  0.231264
2021-09-15 02:46:04.914041 : Epoch  1, Batch    230, Loss  0.634910, Average Loss  0.754327, Time  0.237515
2021-09-15 02:46:05.635884 : Epoch  2, Batch    322, Loss  0.608504, Average Loss  0.619133, Time  0.232259
2021-09-15 02:46:06.441276 : Epoch  1, Batch    231, Loss  0.644561, Average Loss  0.752562, Time  0.239202
2021-09-15 02:46:07.181104 : Epoch  2, Batch    323, Loss  0.614856, Average Loss  0.619111, Time  0.231388
2021-09-15 02:46:08.143050 : Epoch  1, Batch    232, Loss  0.643076, Average Loss  0.750740, Time  0.259964
2021-09-15 02:46:08.732364 : Epoch  2, Batch    324, Loss  0.624411, Average Loss  0.619116, Time  0.231591
2021-09-15 02:46:09.662594 : Epoch  1, Batch    233, Loss  0.645063, Average Loss  0.749015, Time  0.237402
2021-09-15 02:46:10.279997 : Epoch  2, Batch    325, Loss  0.621323, Average Loss  0.619115, Time  0.231646
2021-09-15 02:46:11.183965 : Epoch  1, Batch    234, Loss  0.653259, Average Loss  0.747322, Time  0.237587
2021-09-15 02:46:11.831158 : Epoch  2, Batch    326, Loss  0.615886, Average Loss  0.619095, Time  0.231230
2021-09-15 02:46:12.726422 : Epoch  1, Batch    235, Loss  0.643268, Average Loss  0.745606, Time  0.238405
2021-09-15 02:46:13.388173 : Epoch  2, Batch    327, Loss  0.619343, Average Loss  0.619138, Time  0.239632
2021-09-15 02:46:14.266816 : Epoch  1, Batch    236, Loss  0.643789, Average Loss  0.743862, Time  0.239988
2021-09-15 02:46:14.937791 : Epoch  2, Batch    328, Loss  0.625254, Average Loss  0.619121, Time  0.231360
2021-09-15 02:46:15.802087 : Epoch  1, Batch    237, Loss  0.640366, Average Loss  0.742150, Time  0.239453
2021-09-15 02:46:16.481925 : Epoch  2, Batch    329, Loss  0.610031, Average Loss  0.619117, Time  0.231211
2021-09-15 02:46:17.329778 : Epoch  1, Batch    238, Loss  0.645257, Average Loss  0.740454, Time  0.240232
2021-09-15 02:46:18.041372 : Epoch  2, Batch    330, Loss  0.617210, Average Loss  0.619101, Time  0.232256
2021-09-15 02:46:18.870859 : Epoch  1, Batch    239, Loss  0.654228, Average Loss  0.738840, Time  0.240730
2021-09-15 02:46:19.588903 : Epoch  2, Batch    331, Loss  0.603349, Average Loss  0.619055, Time  0.231290
2021-09-15 02:46:20.413453 : Epoch  1, Batch    240, Loss  0.639850, Average Loss  0.737180, Time  0.240898
2021-09-15 02:46:21.160854 : Epoch  2, Batch    332, Loss  0.607491, Average Loss  0.618948, Time  0.231441
2021-09-15 02:46:21.945005 : Epoch  1, Batch    241, Loss  0.641667, Average Loss  0.735534, Time  0.241143
2021-09-15 02:46:22.717162 : Epoch  2, Batch    333, Loss  0.620609, Average Loss  0.619004, Time  0.231418
2021-09-15 02:46:23.479361 : Epoch  1, Batch    242, Loss  0.645629, Average Loss  0.733884, Time  0.238644
2021-09-15 02:46:24.271017 : Epoch  2, Batch    334, Loss  0.608043, Average Loss  0.618920, Time  0.231577
2021-09-15 02:46:25.008731 : Epoch  1, Batch    243, Loss  0.651200, Average Loss  0.732292, Time  0.239990
2021-09-15 02:46:25.805999 : Epoch  2, Batch    335, Loss  0.622116, Average Loss  0.618947, Time  0.231284
2021-09-15 02:46:26.553933 : Epoch  1, Batch    244, Loss  0.648878, Average Loss  0.730693, Time  0.238865
2021-09-15 02:46:27.356846 : Epoch  2, Batch    336, Loss  0.626480, Average Loss  0.619007, Time  0.231683
2021-09-15 02:46:28.099828 : Epoch  1, Batch    245, Loss  0.633702, Average Loss  0.729008, Time  0.239575
2021-09-15 02:46:28.899561 : Epoch  2, Batch    337, Loss  0.617085, Average Loss  0.619003, Time  0.231083
2021-09-15 02:46:29.638760 : Epoch  1, Batch    246, Loss  0.644697, Average Loss  0.727387, Time  0.240504
2021-09-15 02:46:30.450555 : Epoch  2, Batch    338, Loss  0.608048, Average Loss  0.618934, Time  0.231049
2021-09-15 02:46:31.183889 : Epoch  1, Batch    247, Loss  0.639661, Average Loss  0.725784, Time  0.240935
2021-09-15 02:46:32.001459 : Epoch  2, Batch    339, Loss  0.607609, Average Loss  0.618815, Time  0.232588
2021-09-15 02:46:32.723388 : Epoch  1, Batch    248, Loss  0.652025, Average Loss  0.724248, Time  0.240081
2021-09-15 02:46:33.552026 : Epoch  2, Batch    340, Loss  0.620081, Average Loss  0.618793, Time  0.231508
2021-09-15 02:46:34.263834 : Epoch  1, Batch    249, Loss  0.639573, Average Loss  0.722641, Time  0.243356
2021-09-15 02:46:35.103931 : Epoch  2, Batch    341, Loss  0.614751, Average Loss  0.618711, Time  0.232132
2021-09-15 02:46:35.799512 : Epoch  1, Batch    250, Loss  0.645354, Average Loss  0.721060, Time  0.239046
2021-09-15 02:46:36.649801 : Epoch  2, Batch    342, Loss  0.614072, Average Loss  0.618676, Time  0.231285
2021-09-15 02:46:37.494255 : Epoch  1, Batch    251, Loss  0.653788, Average Loss  0.719512, Time  0.259379
2021-09-15 02:46:38.185068 : Epoch  2, Batch    343, Loss  0.616959, Average Loss  0.618688, Time  0.231022
2021-09-15 02:46:39.031626 : Epoch  1, Batch    252, Loss  0.653465, Average Loss  0.717957, Time  0.241551
2021-09-15 02:46:39.727842 : Epoch  2, Batch    344, Loss  0.617529, Average Loss  0.618694, Time  0.232003
2021-09-15 02:46:40.560831 : Epoch  1, Batch    253, Loss  0.657868, Average Loss  0.716431, Time  0.240604
2021-09-15 02:46:41.274940 : Epoch  2, Batch    345, Loss  0.622621, Average Loss  0.618680, Time  0.231443
2021-09-15 02:46:42.096858 : Epoch  1, Batch    254, Loss  0.643541, Average Loss  0.714856, Time  0.241013
2021-09-15 02:46:42.820293 : Epoch  2, Batch    346, Loss  0.610105, Average Loss  0.618625, Time  0.239884
2021-09-15 02:46:43.618104 : Epoch  1, Batch    255, Loss  0.644839, Average Loss  0.713302, Time  0.237734
2021-09-15 02:46:44.361542 : Epoch  2, Batch    347, Loss  0.607646, Average Loss  0.618626, Time  0.232229
2021-09-15 02:46:45.165023 : Epoch  1, Batch    256, Loss  0.651635, Average Loss  0.711804, Time  0.242522
2021-09-15 02:46:45.906904 : Epoch  2, Batch    348, Loss  0.609183, Average Loss  0.618590, Time  0.231922
2021-09-15 02:46:46.703148 : Epoch  1, Batch    257, Loss  0.643797, Average Loss  0.710238, Time  0.241028
2021-09-15 02:46:47.450277 : Epoch  2, Batch    349, Loss  0.628112, Average Loss  0.618631, Time  0.231477
2021-09-15 02:46:48.220396 : Epoch  1, Batch    258, Loss  0.655780, Average Loss  0.708741, Time  0.238979
2021-09-15 02:46:48.996168 : Epoch  2, Batch    350, Loss  0.627143, Average Loss  0.618615, Time  0.231881
2021-09-15 02:46:49.761866 : Epoch  1, Batch    259, Loss  0.640996, Average Loss  0.707170, Time  0.239551
2021-09-15 02:46:50.536008 : Epoch  2, Batch    351, Loss  0.627387, Average Loss  0.618721, Time  0.231336
2021-09-15 02:46:51.286950 : Epoch  1, Batch    260, Loss  0.645459, Average Loss  0.705624, Time  0.240396
2021-09-15 02:46:52.082262 : Epoch  2, Batch    352, Loss  0.620831, Average Loss  0.618651, Time  0.231141
2021-09-15 02:46:52.810878 : Epoch  1, Batch    261, Loss  0.645869, Average Loss  0.704088, Time  0.237916
2021-09-15 02:46:53.619117 : Epoch  2, Batch    353, Loss  0.616030, Average Loss  0.618597, Time  0.231169
2021-09-15 02:46:54.340419 : Epoch  1, Batch    262, Loss  0.642202, Average Loss  0.702515, Time  0.238715
2021-09-15 02:46:55.154184 : Epoch  2, Batch    354, Loss  0.634062, Average Loss  0.618647, Time  0.231142
2021-09-15 02:46:55.890964 : Epoch  1, Batch    263, Loss  0.637429, Average Loss  0.700936, Time  0.240523
2021-09-15 02:46:56.694081 : Epoch  2, Batch    355, Loss  0.632340, Average Loss  0.618684, Time  0.232369
2021-09-15 02:46:57.423937 : Epoch  1, Batch    264, Loss  0.643897, Average Loss  0.699399, Time  0.238220
2021-09-15 02:46:58.240874 : Epoch  2, Batch    356, Loss  0.612577, Average Loss  0.618660, Time  0.232253
2021-09-15 02:46:58.948261 : Epoch  1, Batch    265, Loss  0.644669, Average Loss  0.697875, Time  0.238161
2021-09-15 02:46:59.781432 : Epoch  2, Batch    357, Loss  0.622823, Average Loss  0.618690, Time  0.231662
2021-09-15 02:47:00.480347 : Epoch  1, Batch    266, Loss  0.632395, Average Loss  0.696297, Time  0.241148
2021-09-15 02:47:01.337415 : Epoch  2, Batch    358, Loss  0.616916, Average Loss  0.618741, Time  0.231572
2021-09-15 02:47:02.016450 : Epoch  1, Batch    267, Loss  0.646425, Average Loss  0.694793, Time  0.241547
2021-09-15 02:47:02.879982 : Epoch  2, Batch    359, Loss  0.609662, Average Loss  0.618691, Time  0.231165
2021-09-15 02:47:03.544119 : Epoch  1, Batch    268, Loss  0.642248, Average Loss  0.693250, Time  0.238043
2021-09-15 02:47:04.421078 : Epoch  2, Batch    360, Loss  0.618002, Average Loss  0.618595, Time  0.231813
2021-09-15 02:47:05.065799 : Epoch  1, Batch    269, Loss  0.642387, Average Loss  0.691717, Time  0.239041
2021-09-15 02:47:05.966397 : Epoch  2, Batch    361, Loss  0.617283, Average Loss  0.618624, Time  0.230987
2021-09-15 02:47:06.598841 : Epoch  1, Batch    270, Loss  0.647230, Average Loss  0.690218, Time  0.240019
2021-09-15 02:47:07.516466 : Epoch  2, Batch    362, Loss  0.606807, Average Loss  0.618541, Time  0.232108
2021-09-15 02:47:09.059143 : Epoch  2, Batch    363, Loss  0.611758, Average Loss  0.618472, Time  0.231228
2021-09-15 02:47:10.473068 : Epoch  1, Batch    271, Loss  0.640629, Average Loss  0.688677, Time  0.256606
2021-09-15 02:47:10.600818 : Epoch  2, Batch    364, Loss  0.611352, Average Loss  0.618461, Time  0.234533
2021-09-15 02:47:12.136822 : Epoch  2, Batch    365, Loss  0.628600, Average Loss  0.618471, Time  0.234645
2021-09-15 02:47:12.171849 : Epoch  1, Batch    272, Loss  0.646660, Average Loss  0.687204, Time  0.258412
2021-09-15 02:47:13.683329 : Epoch  2, Batch    366, Loss  0.612542, Average Loss  0.618433, Time  0.230972
2021-09-15 02:47:13.721407 : Epoch  1, Batch    273, Loss  0.641541, Average Loss  0.685696, Time  0.238778
2021-09-15 02:47:15.236248 : Epoch  2, Batch    367, Loss  0.623312, Average Loss  0.618369, Time  0.231105
2021-09-15 02:47:15.268833 : Epoch  1, Batch    274, Loss  0.649350, Average Loss  0.684240, Time  0.240110
2021-09-15 02:47:16.775000 : Epoch  2, Batch    368, Loss  0.623542, Average Loss  0.618429, Time  0.231365
2021-09-15 02:47:16.809893 : Epoch  1, Batch    275, Loss  0.650089, Average Loss  0.682749, Time  0.238019
2021-09-15 02:47:18.326560 : Epoch  2, Batch    369, Loss  0.616084, Average Loss  0.618409, Time  0.231262
2021-09-15 02:47:18.373993 : Epoch  1, Batch    276, Loss  0.651213, Average Loss  0.681296, Time  0.237228
2021-09-15 02:47:19.879561 : Epoch  2, Batch    370, Loss  0.604215, Average Loss  0.618323, Time  0.233113
2021-09-15 02:47:19.921417 : Epoch  1, Batch    277, Loss  0.650914, Average Loss  0.679847, Time  0.242528
2021-09-15 02:47:21.422131 : Epoch  2, Batch    371, Loss  0.604647, Average Loss  0.618225, Time  0.231903
2021-09-15 02:47:21.457979 : Epoch  1, Batch    278, Loss  0.644853, Average Loss  0.678348, Time  0.241241
2021-09-15 02:47:22.963172 : Epoch  2, Batch    372, Loss  0.611467, Average Loss  0.618244, Time  0.231611
2021-09-15 02:47:23.003856 : Epoch  1, Batch    279, Loss  0.642282, Average Loss  0.676900, Time  0.240600
2021-09-15 02:47:24.516899 : Epoch  2, Batch    373, Loss  0.611582, Average Loss  0.618174, Time  0.232670
2021-09-15 02:47:24.553871 : Epoch  1, Batch    280, Loss  0.645565, Average Loss  0.675478, Time  0.239319
2021-09-15 02:47:26.078060 : Epoch  2, Batch    374, Loss  0.616348, Average Loss  0.618158, Time  0.232512
2021-09-15 02:47:26.111280 : Epoch  1, Batch    281, Loss  0.647997, Average Loss  0.674044, Time  0.239978
2021-09-15 02:47:27.619591 : Epoch  2, Batch    375, Loss  0.614442, Average Loss  0.618136, Time  0.231172
2021-09-15 02:47:27.649913 : Epoch  1, Batch    282, Loss  0.649228, Average Loss  0.672651, Time  0.240233
2021-09-15 02:47:29.163944 : Epoch  2, Batch    376, Loss  0.609545, Average Loss  0.618066, Time  0.231689
2021-09-15 02:47:29.201876 : Epoch  1, Batch    283, Loss  0.643108, Average Loss  0.671220, Time  0.240589
2021-09-15 02:47:30.703391 : Epoch  2, Batch    377, Loss  0.618980, Average Loss  0.618066, Time  0.231462
2021-09-15 02:47:30.736308 : Epoch  1, Batch    284, Loss  0.651176, Average Loss  0.669831, Time  0.239263
2021-09-15 02:47:32.251205 : Epoch  2, Batch    378, Loss  0.613668, Average Loss  0.618021, Time  0.231135
2021-09-15 02:47:32.287902 : Epoch  1, Batch    285, Loss  0.641724, Average Loss  0.668443, Time  0.240324
2021-09-15 02:47:33.796542 : Epoch  2, Batch    379, Loss  0.617393, Average Loss  0.618051, Time  0.231495
2021-09-15 02:47:33.824203 : Epoch  1, Batch    286, Loss  0.653331, Average Loss  0.667178, Time  0.237924
2021-09-15 02:47:35.330459 : Epoch  2, Batch    380, Loss  0.617016, Average Loss  0.618021, Time  0.231126
2021-09-15 02:47:35.367931 : Epoch  1, Batch    287, Loss  0.644792, Average Loss  0.665860, Time  0.238122
2021-09-15 02:47:36.877997 : Epoch  2, Batch    381, Loss  0.609627, Average Loss  0.618012, Time  0.232636
2021-09-15 02:47:36.917996 : Epoch  1, Batch    288, Loss  0.645825, Average Loss  0.664612, Time  0.240454
2021-09-15 02:47:38.422993 : Epoch  2, Batch    382, Loss  0.609774, Average Loss  0.617917, Time  0.231572
2021-09-15 02:47:38.458990 : Epoch  1, Batch    289, Loss  0.639726, Average Loss  0.663384, Time  0.238890
2021-09-15 02:47:39.966256 : Epoch  2, Batch    383, Loss  0.613179, Average Loss  0.617917, Time  0.231325
2021-09-15 02:47:39.997976 : Epoch  1, Batch    290, Loss  0.646312, Average Loss  0.662264, Time  0.241294
2021-09-15 02:47:41.531796 : Epoch  1, Batch    291, Loss  0.638961, Average Loss  0.661220, Time  0.241483
2021-09-15 02:47:43.064821 : Epoch  1, Batch    292, Loss  0.649368, Average Loss  0.660325, Time  0.240152
2021-09-15 02:47:43.853347 : Epoch  2, Batch    384, Loss  0.609005, Average Loss  0.617836, Time  0.266281
2021-09-15 02:47:44.597844 : Epoch  1, Batch    293, Loss  0.641237, Average Loss  0.659395, Time  0.242474
2021-09-15 02:47:45.387925 : Epoch  2, Batch    385, Loss  0.620441, Average Loss  0.617801, Time  0.235121
2021-09-15 02:47:46.126779 : Epoch  1, Batch    294, Loss  0.638674, Average Loss  0.658445, Time  0.241567
2021-09-15 02:47:46.929037 : Epoch  2, Batch    386, Loss  0.618623, Average Loss  0.617786, Time  0.231222
2021-09-15 02:47:47.660825 : Epoch  1, Batch    295, Loss  0.646112, Average Loss  0.657592, Time  0.240629
2021-09-15 02:47:48.463958 : Epoch  2, Batch    387, Loss  0.613358, Average Loss  0.617791, Time  0.231369
2021-09-15 02:47:49.190375 : Epoch  1, Batch    296, Loss  0.644803, Average Loss  0.656690, Time  0.239997
2021-09-15 02:47:50.000296 : Epoch  2, Batch    388, Loss  0.619135, Average Loss  0.617793, Time  0.232405
2021-09-15 02:47:50.721889 : Epoch  1, Batch    297, Loss  0.635734, Average Loss  0.655801, Time  0.242564
2021-09-15 02:47:51.539376 : Epoch  2, Batch    389, Loss  0.619022, Average Loss  0.617773, Time  0.232236
2021-09-15 02:47:52.246377 : Epoch  1, Batch    298, Loss  0.648421, Average Loss  0.654918, Time  0.239987
2021-09-15 02:47:53.082451 : Epoch  2, Batch    390, Loss  0.621859, Average Loss  0.617822, Time  0.231388
2021-09-15 02:47:53.767024 : Epoch  1, Batch    299, Loss  0.647166, Average Loss  0.654147, Time  0.237726
2021-09-15 02:47:54.630966 : Epoch  2, Batch    391, Loss  0.625645, Average Loss  0.617887, Time  0.232235
2021-09-15 02:47:55.298378 : Epoch  1, Batch    300, Loss  0.644700, Average Loss  0.653332, Time  0.241019
2021-09-15 02:47:56.185111 : Epoch  2, Batch    392, Loss  0.613745, Average Loss  0.617890, Time  0.230962
2021-09-15 02:47:57.722021 : Epoch  2, Batch    393, Loss  0.619674, Average Loss  0.617901, Time  0.231289
2021-09-15 02:47:59.265356 : Epoch  2, Batch    394, Loss  0.617291, Average Loss  0.617891, Time  0.231197
2021-09-15 02:48:00.808608 : Epoch  2, Batch    395, Loss  0.619348, Average Loss  0.617866, Time  0.231149
2021-09-15 02:48:02.354385 : Epoch  2, Batch    396, Loss  0.621638, Average Loss  0.617889, Time  0.234601
2021-09-15 02:48:03.906090 : Epoch  2, Batch    397, Loss  0.624421, Average Loss  0.617975, Time  0.231252
2021-09-15 02:48:05.452164 : Epoch  2, Batch    398, Loss  0.602612, Average Loss  0.617932, Time  0.231870
2021-09-15 02:48:06.993257 : Epoch  2, Batch    399, Loss  0.604412, Average Loss  0.617942, Time  0.231331
2021-09-15 02:48:08.540015 : Epoch  2, Batch    400, Loss  0.612548, Average Loss  0.617863, Time  0.231421
2021-09-15 02:48:10.083884 : Epoch  2, Batch    401, Loss  0.610074, Average Loss  0.617813, Time  0.231381
2021-09-15 02:48:11.630784 : Epoch  2, Batch    402, Loss  0.620373, Average Loss  0.617804, Time  0.231793
2021-09-15 02:48:13.171286 : Epoch  2, Batch    403, Loss  0.605767, Average Loss  0.617734, Time  0.231455
2021-09-15 02:48:14.712417 : Epoch  2, Batch    404, Loss  0.609912, Average Loss  0.617678, Time  0.231354
2021-09-15 02:48:16.263386 : Epoch  2, Batch    405, Loss  0.622043, Average Loss  0.617681, Time  0.231745
2021-09-15 02:48:17.808576 : Epoch  2, Batch    406, Loss  0.625154, Average Loss  0.617746, Time  0.231276
2021-09-15 02:48:19.344852 : Epoch  2, Batch    407, Loss  0.614636, Average Loss  0.617715, Time  0.230722
2021-09-15 02:48:20.895910 : Epoch  2, Batch    408, Loss  0.604350, Average Loss  0.617644, Time  0.232414
2021-09-15 02:48:22.447347 : Epoch  2, Batch    409, Loss  0.616618, Average Loss  0.617658, Time  0.231381
2021-09-15 02:48:23.979164 : Epoch  2, Batch    410, Loss  0.609655, Average Loss  0.617636, Time  0.230582
2021-09-15 02:48:25.518146 : Epoch  2, Batch    411, Loss  0.615521, Average Loss  0.617594, Time  0.231185
2021-09-15 02:48:27.072350 : Epoch  2, Batch    412, Loss  0.612485, Average Loss  0.617589, Time  0.234613
2021-09-15 02:48:28.621409 : Epoch  2, Batch    413, Loss  0.626522, Average Loss  0.617645, Time  0.231292
2021-09-15 02:48:51.919734 : CheckPoint: Validation Loss  0.00026191, Best Loss  0.00026191
2021-09-15 02:48:51.954571 : Best Model Updated
2021-09-15 02:48:54.233031 : Epoch  1, Batch    301, Loss  0.637694, Average Loss  0.652692, Time  0.239979
2021-09-15 02:48:55.768824 : Epoch  1, Batch    302, Loss  0.644023, Average Loss  0.652183, Time  0.239676
2021-09-15 02:48:57.305999 : Epoch  1, Batch    303, Loss  0.638684, Average Loss  0.651703, Time  0.242531
2021-09-15 02:48:58.830907 : Epoch  1, Batch    304, Loss  0.647978, Average Loss  0.651307, Time  0.239632
2021-09-15 02:49:00.359759 : Epoch  1, Batch    305, Loss  0.649720, Average Loss  0.651015, Time  0.243266
2021-09-15 02:49:01.899379 : Epoch  1, Batch    306, Loss  0.646320, Average Loss  0.650730, Time  0.238964
2021-09-15 02:49:03.434255 : Epoch  1, Batch    307, Loss  0.644661, Average Loss  0.650481, Time  0.239025
2021-09-15 02:49:04.968397 : Epoch  1, Batch    308, Loss  0.648139, Average Loss  0.650299, Time  0.241911
2021-09-15 02:49:06.669186 : Epoch  1, Batch    309, Loss  0.631430, Average Loss  0.650092, Time  0.259883
2021-09-15 02:49:08.198349 : Epoch  1, Batch    310, Loss  0.648525, Average Loss  0.649904, Time  0.240168
2021-09-15 02:49:09.727837 : Epoch  1, Batch    311, Loss  0.652762, Average Loss  0.649774, Time  0.241749
2021-09-15 02:49:11.274997 : Epoch  1, Batch    312, Loss  0.629902, Average Loss  0.649558, Time  0.241169
2021-09-15 02:49:12.806763 : Epoch  1, Batch    313, Loss  0.638705, Average Loss  0.649321, Time  0.241156
2021-09-15 02:49:14.339364 : Epoch  1, Batch    314, Loss  0.644977, Average Loss  0.649115, Time  0.238493
2021-09-15 02:49:15.898432 : Epoch  1, Batch    315, Loss  0.649119, Average Loss  0.648976, Time  0.241197
2021-09-15 02:49:17.436514 : Epoch  1, Batch    316, Loss  0.641509, Average Loss  0.648844, Time  0.242511
2021-09-15 02:49:18.965682 : Epoch  1, Batch    317, Loss  0.639320, Average Loss  0.648699, Time  0.238779
2021-09-15 02:49:20.528391 : Epoch  1, Batch    318, Loss  0.637802, Average Loss  0.648541, Time  0.239545
2021-09-15 02:49:22.069464 : Epoch  1, Batch    319, Loss  0.651122, Average Loss  0.648432, Time  0.241541
2021-09-15 02:49:23.605417 : Epoch  1, Batch    320, Loss  0.645049, Average Loss  0.648292, Time  0.239938
2021-09-15 02:49:25.156272 : Epoch  1, Batch    321, Loss  0.649538, Average Loss  0.648179, Time  0.239593
2021-09-15 02:49:26.598770 : CheckPoint: Validation Loss  0.00025579, Best Loss  0.00025295
2021-09-15 02:49:26.690081 : Epoch  1, Batch    322, Loss  0.634659, Average Loss  0.648049, Time  0.242146
2021-09-15 02:49:28.143840 : Epoch  2, Batch    414, Loss  0.604959, Average Loss  0.617531, Time  0.232096
2021-09-15 02:49:28.227093 : Epoch  1, Batch    323, Loss  0.649441, Average Loss  0.647941, Time  0.241405
2021-09-15 02:49:29.689814 : Epoch  2, Batch    415, Loss  0.627698, Average Loss  0.617607, Time  0.230842
2021-09-15 02:49:29.755057 : Epoch  1, Batch    324, Loss  0.632204, Average Loss  0.647724, Time  0.238824
2021-09-15 02:49:31.234131 : Epoch  2, Batch    416, Loss  0.625178, Average Loss  0.617623, Time  0.230878
2021-09-15 02:49:31.286047 : Epoch  1, Batch    325, Loss  0.634719, Average Loss  0.647551, Time  0.240610
2021-09-15 02:49:32.786314 : Epoch  2, Batch    417, Loss  0.614985, Average Loss  0.617568, Time  0.234116
2021-09-15 02:49:32.822033 : Epoch  1, Batch    326, Loss  0.645140, Average Loss  0.647475, Time  0.241037
2021-09-15 02:49:34.323600 : Epoch  2, Batch    418, Loss  0.605051, Average Loss  0.617518, Time  0.231542
2021-09-15 02:49:34.365950 : Epoch  1, Batch    327, Loss  0.650039, Average Loss  0.647354, Time  0.240684
2021-09-15 02:49:35.873895 : Epoch  2, Batch    419, Loss  0.619656, Average Loss  0.617531, Time  0.231453
2021-09-15 02:49:35.911216 : Epoch  1, Batch    328, Loss  0.637752, Average Loss  0.647185, Time  0.240821
2021-09-15 02:49:37.422186 : Epoch  2, Batch    420, Loss  0.615854, Average Loss  0.617507, Time  0.230785
2021-09-15 02:49:37.459393 : Epoch  1, Batch    329, Loss  0.640738, Average Loss  0.647091, Time  0.238094
2021-09-15 02:49:38.981451 : Epoch  2, Batch    421, Loss  0.615462, Average Loss  0.617492, Time  0.231867
2021-09-15 02:49:39.010132 : Epoch  1, Batch    330, Loss  0.633327, Average Loss  0.646937, Time  0.241273
2021-09-15 02:49:40.529389 : Epoch  2, Batch    422, Loss  0.619674, Average Loss  0.617475, Time  0.231338
2021-09-15 02:49:40.559709 : Epoch  1, Batch    331, Loss  0.642834, Average Loss  0.646827, Time  0.240083
2021-09-15 02:49:42.072000 : Epoch  2, Batch    423, Loss  0.610939, Average Loss  0.617383, Time  0.231564
2021-09-15 02:49:42.106585 : Epoch  1, Batch    332, Loss  0.644661, Average Loss  0.646708, Time  0.240940
2021-09-15 02:49:43.618022 : Epoch  2, Batch    424, Loss  0.621598, Average Loss  0.617397, Time  0.231215
2021-09-15 02:49:43.654906 : Epoch  1, Batch    333, Loss  0.644857, Average Loss  0.646609, Time  0.240473
2021-09-15 02:49:45.166515 : Epoch  2, Batch    425, Loss  0.617774, Average Loss  0.617359, Time  0.230954
2021-09-15 02:49:45.202904 : Epoch  1, Batch    334, Loss  0.644691, Average Loss  0.646525, Time  0.240561
2021-09-15 02:49:46.705331 : Epoch  2, Batch    426, Loss  0.605397, Average Loss  0.617297, Time  0.230921
2021-09-15 02:49:46.743989 : Epoch  1, Batch    335, Loss  0.644641, Average Loss  0.646448, Time  0.240559
2021-09-15 02:49:48.247363 : Epoch  2, Batch    427, Loss  0.601465, Average Loss  0.617219, Time  0.231894
2021-09-15 02:49:48.285073 : Epoch  1, Batch    336, Loss  0.633890, Average Loss  0.646297, Time  0.240952
2021-09-15 02:49:49.795168 : Epoch  2, Batch    428, Loss  0.627826, Average Loss  0.617280, Time  0.231603
2021-09-15 02:49:49.829849 : Epoch  1, Batch    337, Loss  0.654391, Average Loss  0.646254, Time  0.239554
2021-09-15 02:49:51.334046 : Epoch  2, Batch    429, Loss  0.600977, Average Loss  0.617220, Time  0.231025
2021-09-15 02:49:51.378864 : Epoch  1, Batch    338, Loss  0.648510, Average Loss  0.646200, Time  0.237002
2021-09-15 02:49:52.889804 : Epoch  2, Batch    430, Loss  0.614461, Average Loss  0.617186, Time  0.232208
2021-09-15 02:49:52.930495 : Epoch  1, Batch    339, Loss  0.646623, Average Loss  0.646156, Time  0.238739
2021-09-15 02:49:54.429528 : Epoch  2, Batch    431, Loss  0.607103, Average Loss  0.617132, Time  0.230568
2021-09-15 02:49:54.470419 : Epoch  1, Batch    340, Loss  0.654079, Average Loss  0.646153, Time  0.241020
2021-09-15 02:49:55.986551 : Epoch  2, Batch    432, Loss  0.616880, Average Loss  0.617078, Time  0.232325
2021-09-15 02:49:56.018819 : Epoch  1, Batch    341, Loss  0.659953, Average Loss  0.646154, Time  0.237259
2021-09-15 02:49:57.532481 : Epoch  2, Batch    433, Loss  0.601421, Average Loss  0.616960, Time  0.231972
2021-09-15 02:49:57.697789 : Epoch  1, Batch    342, Loss  0.642378, Average Loss  0.646068, Time  0.256038
2021-09-15 02:49:59.077825 : Epoch  2, Batch    434, Loss  0.615148, Average Loss  0.616885, Time  0.231597
2021-09-15 02:49:59.370223 : Epoch  1, Batch    343, Loss  0.637487, Average Loss  0.646008, Time  0.255863
2021-09-15 02:50:00.634839 : Epoch  2, Batch    435, Loss  0.615066, Average Loss  0.616921, Time  0.231329
2021-09-15 02:50:00.907899 : Epoch  1, Batch    344, Loss  0.635361, Average Loss  0.645887, Time  0.242620
2021-09-15 02:50:02.189371 : Epoch  2, Batch    436, Loss  0.613041, Average Loss  0.616883, Time  0.231139
2021-09-15 02:50:02.441076 : Epoch  1, Batch    345, Loss  0.646713, Average Loss  0.645868, Time  0.240316
2021-09-15 02:50:03.733148 : Epoch  2, Batch    437, Loss  0.620717, Average Loss  0.616859, Time  0.231713
2021-09-15 02:50:03.830400 : CheckPoint: Validation Loss  0.00031058, Best Loss  0.00031058
2021-09-15 02:50:03.858320 : Best Model Updated
2021-09-15 02:50:03.974959 : Epoch  1, Batch    346, Loss  0.635348, Average Loss  0.645763, Time  0.239890
2021-09-15 02:50:05.286038 : Epoch  2, Batch    438, Loss  0.615216, Average Loss  0.616853, Time  0.231738
2021-09-15 02:50:05.535957 : Epoch  1, Batch    347, Loss  0.637631, Average Loss  0.645646, Time  0.238970
2021-09-15 02:50:06.831096 : Epoch  2, Batch    439, Loss  0.619308, Average Loss  0.616783, Time  0.232067
2021-09-15 02:50:07.069893 : Epoch  1, Batch    348, Loss  0.647644, Average Loss  0.645605, Time  0.240500
2021-09-15 02:50:07.584231 : Epoch  1, Batch    401, Loss  0.871808, Average Loss  0.912597, Time  0.266545
2021-09-15 02:50:08.401000 : Epoch  2, Batch    440, Loss  0.613528, Average Loss  0.616731, Time  0.231684
2021-09-15 02:50:08.603825 : Epoch  1, Batch    349, Loss  0.652040, Average Loss  0.645597, Time  0.239754
2021-09-15 02:50:09.954017 : Epoch  2, Batch    441, Loss  0.617222, Average Loss  0.616750, Time  0.232051
2021-09-15 02:50:10.140104 : Epoch  1, Batch    350, Loss  0.635357, Average Loss  0.645509, Time  0.242064
2021-09-15 02:50:10.625081 : Epoch  1, Batch    402, Loss  0.875057, Average Loss  0.912249, Time  0.279312
2021-09-15 02:50:11.506167 : Epoch  2, Batch    442, Loss  0.621751, Average Loss  0.616822, Time  0.231270
2021-09-15 02:50:11.663824 : Epoch  1, Batch    351, Loss  0.646594, Average Loss  0.645463, Time  0.240840
2021-09-15 02:50:13.048856 : Epoch  2, Batch    443, Loss  0.615979, Average Loss  0.616809, Time  0.231312
2021-09-15 02:50:13.201812 : Epoch  1, Batch    352, Loss  0.640305, Average Loss  0.645379, Time  0.241870
2021-09-15 02:50:13.628732 : Epoch  1, Batch    403, Loss  0.894229, Average Loss  0.911930, Time  0.266137
2021-09-15 02:50:14.603901 : Epoch  2, Batch    444, Loss  0.620784, Average Loss  0.616800, Time  0.231504
2021-09-15 02:50:14.732011 : Epoch  1, Batch    353, Loss  0.656657, Average Loss  0.645396, Time  0.241105
2021-09-15 02:50:16.148936 : Epoch  2, Batch    445, Loss  0.601155, Average Loss  0.616662, Time  0.231570
2021-09-15 02:50:16.250330 : Epoch  1, Batch    354, Loss  0.646040, Average Loss  0.645367, Time  0.240888
2021-09-15 02:50:16.632560 : Epoch  1, Batch    404, Loss  0.905991, Average Loss  0.911604, Time  0.266155
2021-09-15 02:50:17.700428 : Epoch  2, Batch    446, Loss  0.604131, Average Loss  0.616554, Time  0.231824
2021-09-15 02:50:17.774391 : Epoch  1, Batch    355, Loss  0.649431, Average Loss  0.645381, Time  0.240479
2021-09-15 02:50:19.248997 : Epoch  2, Batch    447, Loss  0.620105, Average Loss  0.616517, Time  0.231332
2021-09-15 02:50:19.318114 : Epoch  1, Batch    356, Loss  0.645055, Average Loss  0.645353, Time  0.240941
2021-09-15 02:50:19.672529 : Epoch  1, Batch    405, Loss  0.872891, Average Loss  0.911151, Time  0.265808
2021-09-15 02:50:20.796019 : Epoch  2, Batch    448, Loss  0.612577, Average Loss  0.616512, Time  0.231581
2021-09-15 02:50:20.860460 : Epoch  1, Batch    357, Loss  0.642301, Average Loss  0.645358, Time  0.239725
2021-09-15 02:50:22.342322 : Epoch  2, Batch    449, Loss  0.613080, Average Loss  0.616420, Time  0.231221
2021-09-15 02:50:22.393797 : Epoch  1, Batch    358, Loss  0.643239, Average Loss  0.645332, Time  0.239764
2021-09-15 02:50:22.678387 : Epoch  1, Batch    406, Loss  0.874686, Average Loss  0.910616, Time  0.264699
2021-09-15 02:50:23.898428 : Epoch  2, Batch    450, Loss  0.624159, Average Loss  0.616462, Time  0.231410
2021-09-15 02:50:23.933363 : Epoch  1, Batch    359, Loss  0.660214, Average Loss  0.645328, Time  0.238462
2021-09-15 02:50:25.444592 : Epoch  2, Batch    451, Loss  0.621872, Average Loss  0.616513, Time  0.231915
2021-09-15 02:50:25.522402 : Epoch  1, Batch    360, Loss  0.641226, Average Loss  0.645275, Time  0.242012
2021-09-15 02:50:25.673172 : Epoch  1, Batch    407, Loss  0.894297, Average Loss  0.910310, Time  0.264261
2021-09-15 02:50:26.994525 : Epoch  2, Batch    452, Loss  0.625780, Average Loss  0.616558, Time  0.231052
2021-09-15 02:50:27.057995 : Epoch  1, Batch    361, Loss  0.645755, Average Loss  0.645233, Time  0.242056
2021-09-15 02:50:28.542397 : Epoch  2, Batch    453, Loss  0.613463, Average Loss  0.616561, Time  0.231101
2021-09-15 02:50:28.590397 : Epoch  1, Batch    362, Loss  0.635654, Average Loss  0.645156, Time  0.240893
2021-09-15 02:50:28.667453 : Epoch  1, Batch    408, Loss  0.878880, Average Loss  0.909983, Time  0.264327
2021-09-15 02:50:30.107380 : Epoch  2, Batch    454, Loss  0.609611, Average Loss  0.616594, Time  0.232661
2021-09-15 02:50:30.139420 : Epoch  1, Batch    363, Loss  0.644043, Average Loss  0.645178, Time  0.240565
2021-09-15 02:50:31.662071 : Epoch  2, Batch    455, Loss  0.611424, Average Loss  0.616557, Time  0.232217
2021-09-15 02:50:31.697000 : Epoch  1, Batch    364, Loss  0.642912, Average Loss  0.645164, Time  0.240413
2021-09-15 02:50:31.706234 : Epoch  1, Batch    409, Loss  0.909915, Average Loss  0.909767, Time  0.267539
2021-09-15 02:50:33.212739 : Epoch  2, Batch    456, Loss  0.607937, Average Loss  0.616491, Time  0.237063
2021-09-15 02:50:33.249516 : Epoch  1, Batch    365, Loss  0.635865, Average Loss  0.645067, Time  0.239767
2021-09-15 02:50:34.769418 : Epoch  2, Batch    457, Loss  0.605261, Average Loss  0.616452, Time  0.231809
2021-09-15 02:50:34.798397 : Epoch  1, Batch    366, Loss  0.647269, Average Loss  0.645050, Time  0.238556
2021-09-15 02:50:36.315402 : Epoch  2, Batch    458, Loss  0.624609, Average Loss  0.616470, Time  0.231968
2021-09-15 02:50:36.371804 : Epoch  1, Batch    367, Loss  0.630507, Average Loss  0.644894, Time  0.239242
2021-09-15 02:50:37.810620 : Epoch  1, Batch    411, Loss  0.894657, Average Loss  0.909266, Time  0.264888
2021-09-15 02:50:37.871001 : Epoch  2, Batch    459, Loss  0.620536, Average Loss  0.616508, Time  0.232697
2021-09-15 02:50:37.913994 : Epoch  1, Batch    368, Loss  0.645036, Average Loss  0.644898, Time  0.239453
2021-09-15 02:50:39.430878 : Epoch  2, Batch    460, Loss  0.618033, Average Loss  0.616497, Time  0.231875
2021-09-15 02:50:39.469070 : Epoch  1, Batch    369, Loss  0.649944, Average Loss  0.644912, Time  0.237592
2021-09-15 02:50:40.860381 : Epoch  1, Batch    412, Loss  0.897497, Average Loss  0.909066, Time  0.266843
2021-09-15 02:50:40.979440 : Epoch  2, Batch    461, Loss  0.611932, Average Loss  0.616499, Time  0.231817
2021-09-15 02:50:41.009212 : Epoch  1, Batch    370, Loss  0.640124, Average Loss  0.644900, Time  0.240889
2021-09-15 02:50:42.525965 : Epoch  2, Batch    462, Loss  0.605402, Average Loss  0.616459, Time  0.231427
2021-09-15 02:50:43.889625 : Epoch  1, Batch    413, Loss  0.900083, Average Loss  0.908779, Time  0.265541
2021-09-15 02:50:44.081214 : Epoch  2, Batch    463, Loss  0.629016, Average Loss  0.616559, Time  0.232287
2021-09-15 02:50:45.125796 : Epoch  1, Batch    371, Loss  0.639956, Average Loss  0.644864, Time  0.279384
2021-09-15 02:50:45.634442 : Epoch  2, Batch    464, Loss  0.618175, Average Loss  0.616594, Time  0.231354
2021-09-15 02:50:46.661721 : Epoch  1, Batch    372, Loss  0.656646, Average Loss  0.644916, Time  0.256943
2021-09-15 02:50:46.892269 : Epoch  1, Batch    414, Loss  0.900759, Average Loss  0.908470, Time  0.264401
2021-09-15 02:50:47.191637 : Epoch  2, Batch    465, Loss  0.619408, Average Loss  0.616590, Time  0.232723
2021-09-15 02:50:48.377910 : Epoch  1, Batch    373, Loss  0.637871, Average Loss  0.644923, Time  0.265623
2021-09-15 02:50:48.739895 : Epoch  2, Batch    466, Loss  0.623811, Average Loss  0.616640, Time  0.231537
2021-09-15 02:50:49.907969 : Epoch  1, Batch    415, Loss  0.886301, Average Loss  0.908128, Time  0.264763
2021-09-15 02:50:50.071804 : Epoch  1, Batch    374, Loss  0.635310, Average Loss  0.644875, Time  0.259148
2021-09-15 02:50:50.286898 : Epoch  2, Batch    467, Loss  0.625006, Average Loss  0.616629, Time  0.231269
2021-09-15 02:50:51.774908 : Epoch  1, Batch    375, Loss  0.641793, Average Loss  0.644830, Time  0.259587
2021-09-15 02:50:51.826487 : Epoch  2, Batch    468, Loss  0.616497, Average Loss  0.616581, Time  0.231392
2021-09-15 02:50:52.933482 : Epoch  1, Batch    416, Loss  0.907609, Average Loss  0.907952, Time  0.265218
2021-09-15 02:50:53.390012 : Epoch  2, Batch    469, Loss  0.610024, Average Loss  0.616529, Time  0.231820
2021-09-15 02:50:53.471392 : Epoch  1, Batch    376, Loss  0.640970, Average Loss  0.644816, Time  0.259034
2021-09-15 02:50:54.942008 : Epoch  2, Batch    470, Loss  0.612656, Average Loss  0.616481, Time  0.231590
2021-09-15 02:50:55.161794 : Epoch  1, Batch    377, Loss  0.643217, Average Loss  0.644756, Time  0.257393
2021-09-15 02:50:55.968648 : Epoch  1, Batch    417, Loss  0.885556, Average Loss  0.907633, Time  0.277436
2021-09-15 02:50:56.492896 : Epoch  2, Batch    471, Loss  0.626599, Average Loss  0.616555, Time  0.231324
2021-09-15 02:50:56.852969 : Epoch  1, Batch    378, Loss  0.640869, Average Loss  0.644714, Time  0.257527
2021-09-15 02:50:58.044291 : Epoch  2, Batch    472, Loss  0.609796, Average Loss  0.616526, Time  0.231431
2021-09-15 02:50:58.547139 : Epoch  1, Batch    379, Loss  0.648981, Average Loss  0.644689, Time  0.257919
2021-09-15 02:50:59.012313 : Epoch  1, Batch    418, Loss  0.888732, Average Loss  0.907450, Time  0.267463
2021-09-15 02:50:59.597676 : Epoch  2, Batch    473, Loss  0.604638, Average Loss  0.616376, Time  0.233021
2021-09-15 02:51:00.228956 : Epoch  1, Batch    380, Loss  0.647161, Average Loss  0.644667, Time  0.261962
2021-09-15 02:51:01.140490 : Epoch  2, Batch    474, Loss  0.609340, Average Loss  0.616356, Time  0.231226
2021-09-15 02:51:01.915190 : Epoch  1, Batch    381, Loss  0.648794, Average Loss  0.644650, Time  0.258382
2021-09-15 02:51:02.034975 : Epoch  1, Batch    419, Loss  0.883652, Average Loss  0.907161, Time  0.266255
2021-09-15 02:51:02.680326 : Epoch  2, Batch    475, Loss  0.616209, Average Loss  0.616353, Time  0.230977
2021-09-15 02:51:03.465821 : Epoch  1, Batch    382, Loss  0.643453, Average Loss  0.644636, Time  0.238968
2021-09-15 02:51:04.238415 : Epoch  2, Batch    476, Loss  0.615717, Average Loss  0.616358, Time  0.232291
2021-09-15 02:51:05.014446 : Epoch  1, Batch    383, Loss  0.643891, Average Loss  0.644617, Time  0.242225
2021-09-15 02:51:05.080479 : Epoch  1, Batch    420, Loss  0.902153, Average Loss  0.907055, Time  0.266335
2021-09-15 02:51:05.786017 : Epoch  2, Batch    477, Loss  0.607739, Average Loss  0.616307, Time  0.232159
2021-09-15 02:51:06.706308 : Epoch  1, Batch    384, Loss  0.640141, Average Loss  0.644618, Time  0.257400
2021-09-15 02:51:07.346854 : Epoch  2, Batch    478, Loss  0.623572, Average Loss  0.616358, Time  0.231551
2021-09-15 02:51:08.101452 : Epoch  1, Batch    421, Loss  0.886272, Average Loss  0.906661, Time  0.265120
2021-09-15 02:51:08.414816 : Epoch  1, Batch    385, Loss  0.631535, Average Loss  0.644512, Time  0.264871
2021-09-15 02:51:08.890942 : Epoch  2, Batch    479, Loss  0.624749, Average Loss  0.616432, Time  0.232292
2021-09-15 02:51:10.112011 : Epoch  1, Batch    386, Loss  0.647671, Average Loss  0.644480, Time  0.259055
2021-09-15 02:51:10.448588 : Epoch  2, Batch    480, Loss  0.618851, Average Loss  0.616452, Time  0.231827
2021-09-15 02:51:11.104385 : Epoch  1, Batch    422, Loss  0.899090, Average Loss  0.906433, Time  0.265232
2021-09-15 02:51:11.800981 : Epoch  1, Batch    387, Loss  0.640816, Average Loss  0.644477, Time  0.257451
2021-09-15 02:51:11.987026 : Epoch  2, Batch    481, Loss  0.614809, Average Loss  0.616380, Time  0.232288
2021-09-15 02:51:13.486858 : Epoch  1, Batch    388, Loss  0.638435, Average Loss  0.644467, Time  0.258981
2021-09-15 02:51:13.524985 : Epoch  2, Batch    482, Loss  0.616207, Average Loss  0.616361, Time  0.231618
2021-09-15 02:51:14.129999 : Epoch  1, Batch    423, Loss  0.880331, Average Loss  0.906080, Time  0.265130
2021-09-15 02:51:15.082132 : Epoch  2, Batch    483, Loss  0.611314, Average Loss  0.616300, Time  0.232746
2021-09-15 02:51:15.177651 : Epoch  1, Batch    389, Loss  0.646921, Average Loss  0.644449, Time  0.260845
2021-09-15 02:51:16.732465 : Epoch  1, Batch    390, Loss  0.640888, Average Loss  0.644412, Time  0.239821
2021-09-15 02:51:17.167532 : Epoch  1, Batch    424, Loss  0.893786, Average Loss  0.905928, Time  0.266584
2021-09-15 02:51:18.259494 : Epoch  1, Batch    391, Loss  0.649031, Average Loss  0.644406, Time  0.238140
2021-09-15 02:51:18.945196 : Epoch  2, Batch    484, Loss  0.616653, Average Loss  0.616248, Time  0.265051
2021-09-15 02:51:19.789837 : Epoch  1, Batch    392, Loss  0.645129, Average Loss  0.644380, Time  0.243329
2021-09-15 02:51:20.167616 : Epoch  1, Batch    425, Loss  0.898578, Average Loss  0.905709, Time  0.265318
2021-09-15 02:51:20.485202 : Epoch  2, Batch    485, Loss  0.620729, Average Loss  0.616241, Time  0.234597
2021-09-15 02:51:21.328925 : Epoch  1, Batch    393, Loss  0.644688, Average Loss  0.644393, Time  0.241676
2021-09-15 02:51:22.024632 : Epoch  2, Batch    486, Loss  0.616131, Average Loss  0.616220, Time  0.231681
2021-09-15 02:51:22.863505 : Epoch  1, Batch    394, Loss  0.645074, Average Loss  0.644426, Time  0.241492
2021-09-15 02:51:23.159089 : Epoch  1, Batch    426, Loss  0.897824, Average Loss  0.905373, Time  0.264657
2021-09-15 02:51:23.564137 : Epoch  2, Batch    487, Loss  0.617841, Average Loss  0.616204, Time  0.232719
2021-09-15 02:51:24.386107 : Epoch  1, Batch    395, Loss  0.643616, Average Loss  0.644441, Time  0.239785
2021-09-15 02:51:25.111892 : Epoch  2, Batch    488, Loss  0.609432, Average Loss  0.616144, Time  0.231922
2021-09-15 02:51:25.910858 : Epoch  1, Batch    396, Loss  0.643990, Average Loss  0.644399, Time  0.238212
2021-09-15 02:51:26.153743 : Epoch  1, Batch    427, Loss  0.883410, Average Loss  0.905001, Time  0.266687
2021-09-15 02:51:26.653024 : Epoch  2, Batch    489, Loss  0.618818, Average Loss  0.616175, Time  0.231977
2021-09-15 02:51:27.457885 : Epoch  1, Batch    397, Loss  0.646365, Average Loss  0.644386, Time  0.240876
2021-09-15 02:51:28.208374 : Epoch  2, Batch    490, Loss  0.628183, Average Loss  0.616223, Time  0.232478
2021-09-15 02:51:29.006991 : Epoch  1, Batch    398, Loss  0.640426, Average Loss  0.644395, Time  0.240588
2021-09-15 02:51:29.145772 : Epoch  1, Batch    428, Loss  0.886448, Average Loss  0.904863, Time  0.264755
2021-09-15 02:51:29.744568 : Epoch  2, Batch    491, Loss  0.621542, Average Loss  0.616243, Time  0.231293
2021-09-15 02:51:30.532812 : Epoch  1, Batch    399, Loss  0.642809, Average Loss  0.644333, Time  0.240956
2021-09-15 02:51:31.296627 : Epoch  2, Batch    492, Loss  0.610125, Average Loss  0.616220, Time  0.231253
2021-09-15 02:51:32.068379 : Epoch  1, Batch    400, Loss  0.637513, Average Loss  0.644267, Time  0.239853
2021-09-15 02:51:32.144480 : Epoch  1, Batch    429, Loss  0.883922, Average Loss  0.904658, Time  0.264237
2021-09-15 02:51:32.853209 : Epoch  2, Batch    493, Loss  0.611220, Average Loss  0.616185, Time  0.231421
2021-09-15 02:51:34.403093 : Epoch  2, Batch    494, Loss  0.624006, Average Loss  0.616233, Time  0.232004
2021-09-15 02:51:35.152688 : Epoch  1, Batch    430, Loss  0.871930, Average Loss  0.904298, Time  0.265058
2021-09-15 02:51:35.941557 : Epoch  2, Batch    495, Loss  0.608285, Average Loss  0.616153, Time  0.231000
2021-09-15 02:51:37.486247 : Epoch  2, Batch    496, Loss  0.613619, Average Loss  0.616155, Time  0.231827
2021-09-15 02:51:38.182163 : Epoch  1, Batch    431, Loss  0.915077, Average Loss  0.904132, Time  0.265065
2021-09-15 02:51:39.041247 : Epoch  2, Batch    497, Loss  0.614615, Average Loss  0.616131, Time  0.232243
2021-09-15 02:51:40.578010 : Epoch  2, Batch    498, Loss  0.614116, Average Loss  0.616128, Time  0.231294
2021-09-15 02:51:41.201784 : Epoch  1, Batch    432, Loss  0.893707, Average Loss  0.903821, Time  0.278436
2021-09-15 02:51:42.117903 : Epoch  2, Batch    499, Loss  0.608902, Average Loss  0.616107, Time  0.231204
2021-09-15 02:51:43.665418 : Epoch  2, Batch    500, Loss  0.617818, Average Loss  0.616076, Time  0.231490
2021-09-15 02:51:44.214950 : Epoch  1, Batch    433, Loss  0.902289, Average Loss  0.903639, Time  0.265494
2021-09-15 02:51:45.218409 : Epoch  2, Batch    501, Loss  0.615815, Average Loss  0.616065, Time  0.232225
2021-09-15 02:51:46.760925 : Epoch  2, Batch    502, Loss  0.616350, Average Loss  0.616043, Time  0.231243
2021-09-15 02:51:47.218852 : Epoch  1, Batch    434, Loss  0.886168, Average Loss  0.903407, Time  0.264962
2021-09-15 02:51:48.310055 : Epoch  2, Batch    503, Loss  0.617276, Average Loss  0.615986, Time  0.231968
2021-09-15 02:51:49.926405 : Epoch  2, Batch    504, Loss  0.614019, Average Loss  0.615973, Time  0.231168
2021-09-15 02:51:50.219962 : Epoch  1, Batch    435, Loss  0.883769, Average Loss  0.903235, Time  0.265025
2021-09-15 02:51:51.486431 : Epoch  2, Batch    505, Loss  0.621935, Average Loss  0.616003, Time  0.232217
2021-09-15 02:51:53.028208 : Epoch  2, Batch    506, Loss  0.618822, Average Loss  0.616010, Time  0.231436
2021-09-15 02:51:53.242627 : Epoch  1, Batch    436, Loss  0.904219, Average Loss  0.903103, Time  0.264429
2021-09-15 02:51:54.583971 : Epoch  2, Batch    507, Loss  0.609622, Average Loss  0.615965, Time  0.232739
2021-09-15 02:51:56.129493 : Epoch  2, Batch    508, Loss  0.609445, Average Loss  0.615917, Time  0.231436
2021-09-15 02:51:56.249975 : Epoch  1, Batch    437, Loss  0.920419, Average Loss  0.903112, Time  0.265451
2021-09-15 02:51:57.687361 : Epoch  2, Batch    509, Loss  0.615315, Average Loss  0.615915, Time  0.231554
2021-09-15 02:51:59.228046 : Epoch  2, Batch    510, Loss  0.611804, Average Loss  0.615866, Time  0.231077
2021-09-15 02:51:59.256765 : Epoch  1, Batch    438, Loss  0.886530, Average Loss  0.902826, Time  0.266265
2021-09-15 02:52:00.769164 : Epoch  2, Batch    511, Loss  0.606577, Average Loss  0.615790, Time  0.231399
2021-09-15 02:52:02.275475 : Epoch  1, Batch    439, Loss  0.880745, Average Loss  0.902621, Time  0.265083
2021-09-15 02:52:02.316547 : Epoch  2, Batch    512, Loss  0.617822, Average Loss  0.615760, Time  0.231428
2021-09-15 02:52:03.864296 : Epoch  2, Batch    513, Loss  0.616461, Average Loss  0.615787, Time  0.232479
2021-09-15 02:52:05.272789 : Epoch  1, Batch    440, Loss  0.894434, Average Loss  0.902389, Time  0.265219
2021-09-15 02:52:08.269494 : Epoch  1, Batch    441, Loss  0.912200, Average Loss  0.902367, Time  0.264993
2021-09-15 02:52:11.280974 : Epoch  1, Batch    442, Loss  0.897313, Average Loss  0.902275, Time  0.265133
2021-09-15 02:52:14.278504 : Epoch  1, Batch    443, Loss  0.883049, Average Loss  0.902052, Time  0.266099
2021-09-15 02:52:17.303558 : Epoch  1, Batch    444, Loss  0.889165, Average Loss  0.901876, Time  0.264517
2021-09-15 02:52:20.304283 : Epoch  1, Batch    445, Loss  0.903935, Average Loss  0.901757, Time  0.264723
2021-09-15 02:52:23.310683 : Epoch  1, Batch    446, Loss  0.902456, Average Loss  0.901632, Time  0.264164
2021-09-15 02:52:26.351949 : Epoch  1, Batch    447, Loss  0.887702, Average Loss  0.901381, Time  0.277600
2021-09-15 02:52:29.285699 : CheckPoint: Validation Loss  0.00027630, Best Loss  0.00026191
2021-09-15 02:52:29.388784 : Epoch  1, Batch    448, Loss  0.897978, Average Loss  0.901264, Time  0.264850
2021-09-15 02:52:30.826086 : Epoch  1, Batch    401, Loss  0.640866, Average Loss  0.644264, Time  0.240326
2021-09-15 02:52:32.368760 : Epoch  1, Batch    402, Loss  0.644192, Average Loss  0.644278, Time  0.242319
2021-09-15 02:52:32.396751 : Epoch  1, Batch    449, Loss  0.871153, Average Loss  0.901035, Time  0.265744
2021-09-15 02:52:33.892954 : Epoch  1, Batch    403, Loss  0.640390, Average Loss  0.644260, Time  0.238220
2021-09-15 02:52:35.438774 : Epoch  1, Batch    450, Loss  0.878576, Average Loss  0.900849, Time  0.266131
2021-09-15 02:52:35.448351 : Epoch  1, Batch    404, Loss  0.638923, Average Loss  0.644232, Time  0.241300
2021-09-15 02:52:37.003373 : Epoch  1, Batch    405, Loss  0.637803, Average Loss  0.644184, Time  0.242177
2021-09-15 02:52:38.519915 : Epoch  1, Batch    451, Loss  0.869015, Average Loss  0.900542, Time  0.265717
2021-09-15 02:52:38.529131 : Epoch  1, Batch    406, Loss  0.636172, Average Loss  0.644179, Time  0.240015
2021-09-15 02:52:40.085770 : Epoch  1, Batch    407, Loss  0.646669, Average Loss  0.644122, Time  0.252263
2021-09-15 02:52:41.541260 : Epoch  1, Batch    452, Loss  0.891648, Average Loss  0.900234, Time  0.264967
2021-09-15 02:52:41.615365 : Epoch  1, Batch    408, Loss  0.641770, Average Loss  0.644125, Time  0.239239
2021-09-15 02:52:43.184516 : Epoch  1, Batch    409, Loss  0.643226, Average Loss  0.644127, Time  0.239661
2021-09-15 02:52:44.561175 : Epoch  1, Batch    453, Loss  0.881949, Average Loss  0.900042, Time  0.265968
2021-09-15 02:52:44.709924 : Epoch  1, Batch    410, Loss  0.634233, Average Loss  0.644088, Time  0.239287
2021-09-15 02:52:46.239770 : Epoch  1, Batch    411, Loss  0.641109, Average Loss  0.644077, Time  0.238899
2021-09-15 02:52:47.606143 : Epoch  1, Batch    454, Loss  0.878093, Average Loss  0.899967, Time  0.264625
2021-09-15 02:52:47.782360 : Epoch  1, Batch    412, Loss  0.638945, Average Loss  0.644017, Time  0.240644
2021-09-15 02:52:49.474283 : Epoch  1, Batch    413, Loss  0.644070, Average Loss  0.643997, Time  0.263314
2021-09-15 02:52:50.614428 : Epoch  1, Batch    455, Loss  0.894428, Average Loss  0.899862, Time  0.265543
2021-09-15 02:52:51.157025 : Epoch  1, Batch    414, Loss  0.644259, Average Loss  0.644001, Time  0.256530
2021-09-15 02:52:52.701031 : Epoch  1, Batch    415, Loss  0.641708, Average Loss  0.643973, Time  0.238109
2021-09-15 02:52:53.657295 : Epoch  1, Batch    456, Loss  0.902319, Average Loss  0.899765, Time  0.266259
2021-09-15 02:52:54.243091 : Epoch  1, Batch    416, Loss  0.645833, Average Loss  0.643993, Time  0.239318
2021-09-15 02:52:55.773151 : Epoch  1, Batch    417, Loss  0.641347, Average Loss  0.643983, Time  0.238361
2021-09-15 02:52:56.664528 : Epoch  1, Batch    457, Loss  0.897599, Average Loss  0.899688, Time  0.266185
2021-09-15 02:52:57.302296 : Epoch  1, Batch    418, Loss  0.632933, Average Loss  0.643906, Time  0.238464
2021-09-15 02:52:58.832248 : Epoch  1, Batch    419, Loss  0.649010, Average Loss  0.643916, Time  0.240613
2021-09-15 02:52:59.719800 : Epoch  1, Batch    458, Loss  0.883200, Average Loss  0.899435, Time  0.266048
2021-09-15 02:53:00.379074 : Epoch  1, Batch    420, Loss  0.643620, Average Loss  0.643921, Time  0.240358
2021-09-15 02:53:01.907266 : Epoch  1, Batch    421, Loss  0.637599, Average Loss  0.643915, Time  0.238624
2021-09-15 02:53:01.982722 : CheckPoint: Validation Loss  0.00025290, Best Loss  0.00025290
2021-09-15 02:53:02.025561 : Best Model Updated
2021-09-15 02:53:02.731778 : Epoch  1, Batch    459, Loss  0.901512, Average Loss  0.899379, Time  0.264318
2021-09-15 02:53:03.565956 : Epoch  1, Batch    422, Loss  0.636984, Average Loss  0.643894, Time  0.238693
2021-09-15 02:53:04.383850 : Epoch  2, Batch    514, Loss  0.629130, Average Loss  0.615831, Time  0.266617
2021-09-15 02:53:05.109597 : Epoch  1, Batch    423, Loss  0.643232, Average Loss  0.643868, Time  0.240790
2021-09-15 02:53:05.764846 : Epoch  1, Batch    460, Loss  0.899271, Average Loss  0.899280, Time  0.266069
2021-09-15 02:53:05.939347 : Epoch  2, Batch    515, Loss  0.614106, Average Loss  0.615805, Time  0.231390
2021-09-15 02:53:06.639353 : Epoch  1, Batch    424, Loss  0.641347, Average Loss  0.643858, Time  0.237327
2021-09-15 02:53:07.484882 : Epoch  2, Batch    516, Loss  0.611359, Average Loss  0.615721, Time  0.231547
2021-09-15 02:53:08.189327 : Epoch  1, Batch    425, Loss  0.633476, Average Loss  0.643785, Time  0.239513
2021-09-15 02:53:08.791258 : Epoch  1, Batch    461, Loss  0.890984, Average Loss  0.899219, Time  0.265774
2021-09-15 02:53:09.027873 : Epoch  2, Batch    517, Loss  0.617798, Average Loss  0.615735, Time  0.232059
2021-09-15 02:53:09.721836 : Epoch  1, Batch    426, Loss  0.640620, Average Loss  0.643758, Time  0.241378
2021-09-15 02:53:10.569949 : Epoch  2, Batch    518, Loss  0.599039, Average Loss  0.615657, Time  0.231322
2021-09-15 02:53:11.263448 : Epoch  1, Batch    427, Loss  0.647830, Average Loss  0.643770, Time  0.239570
2021-09-15 02:53:11.827439 : Epoch  1, Batch    462, Loss  0.871487, Average Loss  0.898875, Time  0.277660
2021-09-15 02:53:12.124396 : Epoch  2, Batch    519, Loss  0.605361, Average Loss  0.615587, Time  0.231470
2021-09-15 02:53:12.799761 : Epoch  1, Batch    428, Loss  0.642426, Average Loss  0.643768, Time  0.240448
2021-09-15 02:53:13.676195 : Epoch  2, Batch    520, Loss  0.607682, Average Loss  0.615504, Time  0.232091
2021-09-15 02:53:14.482065 : Epoch  1, Batch    429, Loss  0.649981, Average Loss  0.643771, Time  0.256303
2021-09-15 02:53:14.852128 : Epoch  1, Batch    463, Loss  0.873634, Average Loss  0.898699, Time  0.265501
2021-09-15 02:53:15.229543 : Epoch  2, Batch    521, Loss  0.613863, Average Loss  0.615522, Time  0.231550
2021-09-15 02:53:16.181378 : Epoch  1, Batch    430, Loss  0.639604, Average Loss  0.643795, Time  0.258347
2021-09-15 02:53:16.783883 : Epoch  2, Batch    522, Loss  0.618758, Average Loss  0.615574, Time  0.231448
2021-09-15 02:53:17.729889 : Epoch  1, Batch    431, Loss  0.651549, Average Loss  0.643829, Time  0.240562
2021-09-15 02:53:17.860767 : Epoch  1, Batch    464, Loss  0.881910, Average Loss  0.898633, Time  0.264985
2021-09-15 02:53:18.324134 : Epoch  2, Batch    523, Loss  0.625125, Average Loss  0.615625, Time  0.231100
2021-09-15 02:53:19.267825 : Epoch  1, Batch    432, Loss  0.641925, Average Loss  0.643824, Time  0.239621
2021-09-15 02:53:19.868938 : Epoch  2, Batch    524, Loss  0.616030, Average Loss  0.615583, Time  0.230994
2021-09-15 02:53:20.807207 : Epoch  1, Batch    433, Loss  0.640942, Average Loss  0.643803, Time  0.240332
2021-09-15 02:53:20.863068 : Epoch  1, Batch    465, Loss  0.884162, Average Loss  0.898494, Time  0.264537
2021-09-15 02:53:21.433973 : Epoch  2, Batch    525, Loss  0.616939, Average Loss  0.615561, Time  0.231364
2021-09-15 02:53:22.513450 : Epoch  1, Batch    434, Loss  0.653912, Average Loss  0.643806, Time  0.262871
2021-09-15 02:53:22.987167 : Epoch  2, Batch    526, Loss  0.617456, Average Loss  0.615569, Time  0.232376
2021-09-15 02:53:23.873118 : Epoch  1, Batch    466, Loss  0.909659, Average Loss  0.898464, Time  0.264558
2021-09-15 02:53:24.199078 : Epoch  1, Batch    435, Loss  0.643744, Average Loss  0.643809, Time  0.261307
2021-09-15 02:53:24.534053 : Epoch  2, Batch    527, Loss  0.615553, Average Loss  0.615550, Time  0.231312
2021-09-15 02:53:25.891398 : Epoch  1, Batch    436, Loss  0.641691, Average Loss  0.643798, Time  0.261009
2021-09-15 02:53:26.084574 : Epoch  2, Batch    528, Loss  0.614631, Average Loss  0.615497, Time  0.233060
2021-09-15 02:53:26.871776 : Epoch  1, Batch    467, Loss  0.894825, Average Loss  0.898309, Time  0.266606
2021-09-15 02:53:27.602863 : Epoch  1, Batch    437, Loss  0.639941, Average Loss  0.643796, Time  0.262313
2021-09-15 02:53:27.636910 : Epoch  2, Batch    529, Loss  0.613011, Average Loss  0.615512, Time  0.231778
2021-09-15 02:53:29.197019 : Epoch  2, Batch    530, Loss  0.620334, Average Loss  0.615528, Time  0.232137
2021-09-15 02:53:29.291388 : Epoch  1, Batch    438, Loss  0.641203, Average Loss  0.643776, Time  0.260299
2021-09-15 02:53:29.899535 : Epoch  1, Batch    468, Loss  0.891711, Average Loss  0.898286, Time  0.264864
2021-09-15 02:53:30.750597 : Epoch  2, Batch    531, Loss  0.610865, Average Loss  0.615565, Time  0.231993
2021-09-15 02:53:30.966928 : Epoch  1, Batch    439, Loss  0.640986, Average Loss  0.643710, Time  0.257308
2021-09-15 02:53:32.299388 : Epoch  2, Batch    532, Loss  0.618354, Average Loss  0.615619, Time  0.231186
2021-09-15 02:53:32.662147 : Epoch  1, Batch    440, Loss  0.649280, Average Loss  0.643757, Time  0.258608
2021-09-15 02:53:32.927748 : Epoch  1, Batch    469, Loss  0.886163, Average Loss  0.898223, Time  0.266282
2021-09-15 02:53:33.858366 : Epoch  2, Batch    533, Loss  0.607118, Average Loss  0.615552, Time  0.231128
2021-09-15 02:53:34.197991 : Epoch  1, Batch    441, Loss  0.645094, Average Loss  0.643774, Time  0.242803
2021-09-15 02:53:35.410930 : Epoch  2, Batch    534, Loss  0.619641, Average Loss  0.615610, Time  0.233898
2021-09-15 02:53:35.721142 : Epoch  1, Batch    442, Loss  0.627927, Average Loss  0.643685, Time  0.237930
2021-09-15 02:53:35.977479 : Epoch  1, Batch    470, Loss  0.895758, Average Loss  0.898146, Time  0.264984
2021-09-15 02:53:36.951015 : Epoch  2, Batch    535, Loss  0.595860, Average Loss  0.615479, Time  0.231359
2021-09-15 02:53:37.260948 : Epoch  1, Batch    443, Loss  0.641216, Average Loss  0.643636, Time  0.242044
2021-09-15 02:53:38.529364 : Epoch  2, Batch    536, Loss  0.609664, Average Loss  0.615395, Time  0.232461
2021-09-15 02:53:38.805101 : Epoch  1, Batch    444, Loss  0.648846, Average Loss  0.643635, Time  0.243321
2021-09-15 02:53:39.008141 : Epoch  1, Batch    471, Loss  0.919608, Average Loss  0.898108, Time  0.264935
2021-09-15 02:53:40.085913 : Epoch  2, Batch    537, Loss  0.617294, Average Loss  0.615396, Time  0.233840
2021-09-15 02:53:40.325981 : Epoch  1, Batch    445, Loss  0.647517, Average Loss  0.643704, Time  0.238115
2021-09-15 02:53:41.637919 : Epoch  2, Batch    538, Loss  0.615769, Average Loss  0.615434, Time  0.231559
2021-09-15 02:53:41.855323 : Epoch  1, Batch    446, Loss  0.641803, Average Loss  0.643690, Time  0.238816
2021-09-15 02:53:42.014781 : Epoch  1, Batch    472, Loss  0.890433, Average Loss  0.897958, Time  0.264846
2021-09-15 02:53:43.184434 : Epoch  2, Batch    539, Loss  0.625901, Average Loss  0.615526, Time  0.232056
2021-09-15 02:53:43.401969 : Epoch  1, Batch    447, Loss  0.635412, Average Loss  0.643669, Time  0.244846
2021-09-15 02:53:44.729207 : Epoch  2, Batch    540, Loss  0.621026, Average Loss  0.615530, Time  0.231285
2021-09-15 02:53:44.941108 : Epoch  1, Batch    448, Loss  0.637828, Average Loss  0.643598, Time  0.241309
2021-09-15 02:53:45.035824 : Epoch  1, Batch    473, Loss  0.895859, Average Loss  0.898009, Time  0.265576
2021-09-15 02:53:46.285064 : Epoch  2, Batch    541, Loss  0.618492, Average Loss  0.615549, Time  0.232041
2021-09-15 02:53:46.486078 : Epoch  1, Batch    449, Loss  0.638595, Average Loss  0.643593, Time  0.241756
2021-09-15 02:53:47.829536 : Epoch  2, Batch    542, Loss  0.616860, Average Loss  0.615563, Time  0.230985
2021-09-15 02:53:48.042433 : Epoch  1, Batch    474, Loss  0.863448, Average Loss  0.897637, Time  0.266361
2021-09-15 02:53:48.146891 : Epoch  1, Batch    450, Loss  0.633456, Average Loss  0.643533, Time  0.240359
2021-09-15 02:53:49.374439 : Epoch  2, Batch    543, Loss  0.622967, Average Loss  0.615593, Time  0.231616
2021-09-15 02:53:49.678411 : Epoch  1, Batch    451, Loss  0.639971, Average Loss  0.643464, Time  0.239375
2021-09-15 02:53:50.922881 : Epoch  2, Batch    544, Loss  0.616288, Average Loss  0.615587, Time  0.231686
2021-09-15 02:53:51.057934 : Epoch  1, Batch    475, Loss  0.894559, Average Loss  0.897621, Time  0.264922
2021-09-15 02:53:51.372846 : Epoch  1, Batch    452, Loss  0.649484, Average Loss  0.643444, Time  0.262177
2021-09-15 02:53:52.465056 : Epoch  2, Batch    545, Loss  0.611122, Average Loss  0.615529, Time  0.231704
2021-09-15 02:53:53.054978 : Epoch  1, Batch    453, Loss  0.645523, Average Loss  0.643383, Time  0.257972
2021-09-15 02:53:54.018382 : Epoch  2, Batch    546, Loss  0.611149, Average Loss  0.615535, Time  0.231230
2021-09-15 02:53:54.069013 : Epoch  1, Batch    476, Loss  0.915806, Average Loss  0.897616, Time  0.265279
2021-09-15 02:53:54.605086 : Epoch  1, Batch    454, Loss  0.648067, Average Loss  0.643405, Time  0.239514
2021-09-15 02:53:55.561010 : Epoch  2, Batch    547, Loss  0.617213, Average Loss  0.615582, Time  0.231516
2021-09-15 02:53:56.128998 : Epoch  1, Batch    455, Loss  0.645351, Average Loss  0.643408, Time  0.238456
2021-09-15 02:53:57.103076 : Epoch  1, Batch    477, Loss  0.884364, Average Loss  0.897489, Time  0.277871
2021-09-15 02:53:57.119951 : Epoch  2, Batch    548, Loss  0.621875, Average Loss  0.615646, Time  0.231570
2021-09-15 02:53:57.673324 : Epoch  1, Batch    456, Loss  0.635771, Average Loss  0.643329, Time  0.241668
2021-09-15 02:53:58.674492 : Epoch  2, Batch    549, Loss  0.607382, Average Loss  0.615542, Time  0.230883
2021-09-15 02:53:59.228157 : Epoch  1, Batch    457, Loss  0.645757, Average Loss  0.643338, Time  0.245124
2021-09-15 02:54:00.140398 : Epoch  1, Batch    478, Loss  0.894502, Average Loss  0.897389, Time  0.266974
2021-09-15 02:54:00.312047 : Epoch  2, Batch    550, Loss  0.627638, Average Loss  0.615545, Time  0.231379
2021-09-15 02:54:00.913060 : Epoch  1, Batch    458, Loss  0.641164, Average Loss  0.643265, Time  0.241644
2021-09-15 02:54:01.852406 : Epoch  2, Batch    551, Loss  0.616570, Average Loss  0.615491, Time  0.231097
2021-09-15 02:54:02.463432 : Epoch  1, Batch    459, Loss  0.645522, Average Loss  0.643288, Time  0.239397
2021-09-15 02:54:03.181004 : Epoch  1, Batch    479, Loss  0.876783, Average Loss  0.897217, Time  0.265673
2021-09-15 02:54:03.399940 : Epoch  2, Batch    552, Loss  0.616460, Average Loss  0.615469, Time  0.232407
2021-09-15 02:54:04.002533 : Epoch  1, Batch    460, Loss  0.640007, Average Loss  0.643261, Time  0.239894
2021-09-15 02:54:04.935545 : Epoch  2, Batch    553, Loss  0.618878, Average Loss  0.615483, Time  0.231144
2021-09-15 02:54:05.552911 : Epoch  1, Batch    461, Loss  0.639151, Average Loss  0.643227, Time  0.238731
2021-09-15 02:54:06.193384 : Epoch  1, Batch    480, Loss  0.889001, Average Loss  0.897080, Time  0.265672
2021-09-15 02:54:06.478065 : Epoch  2, Batch    554, Loss  0.614269, Average Loss  0.615384, Time  0.232523
2021-09-15 02:54:07.084702 : Epoch  1, Batch    462, Loss  0.647396, Average Loss  0.643253, Time  0.239993
2021-09-15 02:54:08.028238 : Epoch  2, Batch    555, Loss  0.616734, Average Loss  0.615306, Time  0.231653
2021-09-15 02:54:08.776170 : Epoch  1, Batch    463, Loss  0.640951, Average Loss  0.643271, Time  0.257535
2021-09-15 02:54:09.209343 : Epoch  1, Batch    481, Loss  0.892851, Average Loss  0.896889, Time  0.265501
2021-09-15 02:54:09.582955 : Epoch  2, Batch    556, Loss  0.628273, Average Loss  0.615385, Time  0.231633
2021-09-15 02:54:10.328979 : Epoch  1, Batch    464, Loss  0.646777, Average Loss  0.643285, Time  0.240182
2021-09-15 02:54:11.126284 : Epoch  2, Batch    557, Loss  0.619312, Average Loss  0.615367, Time  0.231422
2021-09-15 02:54:11.858222 : Epoch  1, Batch    465, Loss  0.643084, Average Loss  0.643277, Time  0.237013
2021-09-15 02:54:12.212184 : Epoch  1, Batch    482, Loss  0.888904, Average Loss  0.896751, Time  0.265289
2021-09-15 02:54:12.735579 : Epoch  2, Batch    558, Loss  0.615666, Average Loss  0.615361, Time  0.231414
2021-09-15 02:54:13.542012 : Epoch  1, Batch    466, Loss  0.639821, Average Loss  0.643314, Time  0.258577
2021-09-15 02:54:14.291401 : Epoch  2, Batch    559, Loss  0.615100, Average Loss  0.615388, Time  0.231036
2021-09-15 02:54:15.227596 : Epoch  1, Batch    483, Loss  0.904345, Average Loss  0.896696, Time  0.264840
2021-09-15 02:54:15.249902 : Epoch  1, Batch    467, Loss  0.643359, Average Loss  0.643299, Time  0.259757
2021-09-15 02:54:15.833979 : Epoch  2, Batch    560, Loss  0.611891, Average Loss  0.615357, Time  0.231167
2021-09-15 02:54:16.937375 : Epoch  1, Batch    468, Loss  0.641369, Average Loss  0.643294, Time  0.262281
2021-09-15 02:54:17.382579 : Epoch  2, Batch    561, Loss  0.615199, Average Loss  0.615347, Time  0.231431
2021-09-15 02:54:18.245985 : Epoch  1, Batch    484, Loss  0.890189, Average Loss  0.896488, Time  0.264491
2021-09-15 02:54:18.631266 : Epoch  1, Batch    469, Loss  0.641248, Average Loss  0.643289, Time  0.258845
2021-09-15 02:54:18.926822 : Epoch  2, Batch    562, Loss  0.613499, Average Loss  0.615380, Time  0.231320
2021-09-15 02:54:20.176243 : Epoch  1, Batch    470, Loss  0.640976, Average Loss  0.643258, Time  0.239956
2021-09-15 02:54:20.461134 : Epoch  2, Batch    563, Loss  0.614452, Average Loss  0.615394, Time  0.231345
2021-09-15 02:54:21.260716 : Epoch  1, Batch    485, Loss  0.890769, Average Loss  0.896471, Time  0.265683
2021-09-15 02:54:21.998395 : Epoch  2, Batch    564, Loss  0.608487, Average Loss  0.615380, Time  0.231685
2021-09-15 02:54:23.544819 : Epoch  2, Batch    565, Loss  0.624121, Average Loss  0.615357, Time  0.231877
2021-09-15 02:54:24.278561 : Epoch  1, Batch    486, Loss  0.888251, Average Loss  0.896375, Time  0.265380
2021-09-15 02:54:24.303481 : Epoch  1, Batch    471, Loss  0.636924, Average Loss  0.643239, Time  0.273697
2021-09-15 02:54:25.085770 : Epoch  2, Batch    566, Loss  0.614217, Average Loss  0.615366, Time  0.232255
2021-09-15 02:54:25.816955 : Epoch  1, Batch    472, Loss  0.640332, Average Loss  0.643207, Time  0.245665
2021-09-15 02:54:26.621982 : Epoch  2, Batch    567, Loss  0.626046, Average Loss  0.615379, Time  0.230617
2021-09-15 02:54:27.310305 : Epoch  1, Batch    487, Loss  0.890745, Average Loss  0.896388, Time  0.264551
2021-09-15 02:54:27.337035 : Epoch  1, Batch    473, Loss  0.642576, Average Loss  0.643213, Time  0.241292
2021-09-15 02:54:28.169388 : Epoch  2, Batch    568, Loss  0.622071, Average Loss  0.615372, Time  0.233254
2021-09-15 02:54:28.863672 : Epoch  1, Batch    474, Loss  0.638789, Average Loss  0.643160, Time  0.239504
2021-09-15 02:54:29.718365 : Epoch  2, Batch    569, Loss  0.622575, Average Loss  0.615404, Time  0.231963
2021-09-15 02:54:30.352574 : Epoch  1, Batch    488, Loss  0.883302, Average Loss  0.896329, Time  0.265242
2021-09-15 02:54:30.394418 : Epoch  1, Batch    475, Loss  0.660147, Average Loss  0.643210, Time  0.238949
2021-09-15 02:54:31.263972 : Epoch  2, Batch    570, Loss  0.614402, Average Loss  0.615455, Time  0.232110
2021-09-15 02:54:31.908870 : Epoch  1, Batch    476, Loss  0.644928, Average Loss  0.643179, Time  0.239730
2021-09-15 02:54:32.812605 : Epoch  2, Batch    571, Loss  0.613798, Average Loss  0.615501, Time  0.232094
2021-09-15 02:54:33.407373 : Epoch  1, Batch    489, Loss  0.875035, Average Loss  0.896213, Time  0.267575
2021-09-15 02:54:33.436137 : Epoch  1, Batch    477, Loss  0.642939, Average Loss  0.643139, Time  0.239823
2021-09-15 02:54:34.363098 : Epoch  2, Batch    572, Loss  0.603352, Average Loss  0.615460, Time  0.231539
2021-09-15 02:54:34.962315 : Epoch  1, Batch    478, Loss  0.631947, Average Loss  0.643074, Time  0.240118
2021-09-15 02:54:35.918376 : Epoch  2, Batch    573, Loss  0.618452, Average Loss  0.615495, Time  0.231048
2021-09-15 02:54:36.429768 : Epoch  1, Batch    490, Loss  0.880002, Average Loss  0.896211, Time  0.264916
2021-09-15 02:54:36.487987 : Epoch  1, Batch    479, Loss  0.641546, Average Loss  0.643070, Time  0.238604
2021-09-15 02:54:37.458959 : Epoch  2, Batch    574, Loss  0.623548, Average Loss  0.615531, Time  0.231576
2021-09-15 02:54:38.001971 : Epoch  1, Batch    480, Loss  0.640671, Average Loss  0.643046, Time  0.239531
2021-09-15 02:54:39.016277 : Epoch  2, Batch    575, Loss  0.612149, Average Loss  0.615519, Time  0.231524
2021-09-15 02:54:39.434436 : Epoch  1, Batch    491, Loss  0.882360, Average Loss  0.896155, Time  0.265510
2021-09-15 02:54:39.604410 : Epoch  1, Batch    481, Loss  0.640115, Average Loss  0.643007, Time  0.242154
2021-09-15 02:54:40.576418 : Epoch  2, Batch    576, Loss  0.617170, Average Loss  0.615557, Time  0.231278
2021-09-15 02:54:41.120367 : Epoch  1, Batch    482, Loss  0.637820, Average Loss  0.642950, Time  0.240609
2021-09-15 02:54:42.126382 : Epoch  2, Batch    577, Loss  0.603396, Average Loss  0.615479, Time  0.231832
2021-09-15 02:54:42.472043 : Epoch  1, Batch    492, Loss  0.907729, Average Loss  0.896204, Time  0.274066
2021-09-15 02:54:42.666823 : Epoch  1, Batch    483, Loss  0.641305, Average Loss  0.642941, Time  0.240037
2021-09-15 02:54:43.666145 : Epoch  2, Batch    578, Loss  0.608439, Average Loss  0.615453, Time  0.231310
2021-09-15 02:54:44.188097 : Epoch  1, Batch    484, Loss  0.640297, Average Loss  0.642886, Time  0.242126
2021-09-15 02:54:45.204539 : Epoch  2, Batch    579, Loss  0.621867, Average Loss  0.615476, Time  0.231474
2021-09-15 02:54:45.504389 : Epoch  1, Batch    493, Loss  0.890534, Average Loss  0.895974, Time  0.264842
2021-09-15 02:54:45.739449 : Epoch  1, Batch    485, Loss  0.638263, Average Loss  0.642869, Time  0.241767
2021-09-15 02:54:46.762941 : Epoch  2, Batch    580, Loss  0.632042, Average Loss  0.615551, Time  0.232554
2021-09-15 02:54:47.255825 : Epoch  1, Batch    486, Loss  0.634278, Average Loss  0.642774, Time  0.240867
2021-09-15 02:54:48.305140 : Epoch  2, Batch    581, Loss  0.615811, Average Loss  0.615582, Time  0.231220
2021-09-15 02:54:48.524924 : Epoch  1, Batch    494, Loss  0.891627, Average Loss  0.895845, Time  0.265516
2021-09-15 02:54:48.766185 : Epoch  1, Batch    487, Loss  0.641068, Average Loss  0.642755, Time  0.236270
2021-09-15 02:54:49.850983 : Epoch  2, Batch    582, Loss  0.610955, Average Loss  0.615588, Time  0.231647
2021-09-15 02:54:50.307861 : Epoch  1, Batch    488, Loss  0.626645, Average Loss  0.642659, Time  0.242856
2021-09-15 02:54:51.398171 : Epoch  2, Batch    583, Loss  0.626003, Average Loss  0.615652, Time  0.231926
2021-09-15 02:54:51.527924 : Epoch  1, Batch    495, Loss  0.877715, Average Loss  0.895599, Time  0.265104
2021-09-15 02:54:51.830931 : Epoch  1, Batch    489, Loss  0.634472, Average Loss  0.642633, Time  0.243463
2021-09-15 02:54:53.360880 : Epoch  1, Batch    490, Loss  0.640788, Average Loss  0.642605, Time  0.241695
2021-09-15 02:54:54.531414 : Epoch  1, Batch    496, Loss  0.896879, Average Loss  0.895524, Time  0.264756
2021-09-15 02:54:54.893083 : Epoch  1, Batch    491, Loss  0.630292, Average Loss  0.642562, Time  0.241561
2021-09-15 02:54:55.318981 : Epoch  2, Batch    584, Loss  0.616808, Average Loss  0.615691, Time  0.268342
2021-09-15 02:54:56.413246 : Epoch  1, Batch    492, Loss  0.646078, Average Loss  0.642545, Time  0.238453
2021-09-15 02:54:56.871867 : Epoch  2, Batch    585, Loss  0.610156, Average Loss  0.615639, Time  0.248864
2021-09-15 02:54:57.545100 : Epoch  1, Batch    497, Loss  0.862678, Average Loss  0.895302, Time  0.265170
2021-09-15 02:54:57.991054 : Epoch  1, Batch    493, Loss  0.637782, Average Loss  0.642528, Time  0.242733
2021-09-15 02:54:58.396387 : Epoch  2, Batch    586, Loss  0.605375, Average Loss  0.615573, Time  0.231337
2021-09-15 02:54:59.516793 : Epoch  1, Batch    494, Loss  0.651442, Average Loss  0.642592, Time  0.241358
2021-09-15 02:54:59.929976 : Epoch  2, Batch    587, Loss  0.625103, Average Loss  0.615632, Time  0.234346
2021-09-15 02:55:00.557847 : Epoch  1, Batch    498, Loss  0.905729, Average Loss  0.895195, Time  0.267375
2021-09-15 02:55:01.066065 : Epoch  1, Batch    495, Loss  0.646863, Average Loss  0.642596, Time  0.241776
2021-09-15 02:55:01.459069 : Epoch  2, Batch    588, Loss  0.631944, Average Loss  0.615696, Time  0.231077
2021-09-15 02:55:02.586997 : Epoch  1, Batch    496, Loss  0.649302, Average Loss  0.642618, Time  0.240136
2021-09-15 02:55:02.994979 : Epoch  2, Batch    589, Loss  0.602142, Average Loss  0.615612, Time  0.231174
2021-09-15 02:55:03.564454 : Epoch  1, Batch    499, Loss  0.891829, Average Loss  0.895175, Time  0.264828
2021-09-15 02:55:04.120966 : Epoch  1, Batch    497, Loss  0.638562, Average Loss  0.642632, Time  0.238427
2021-09-15 02:55:04.528806 : Epoch  2, Batch    590, Loss  0.615487, Average Loss  0.615580, Time  0.234342
2021-09-15 02:55:05.661846 : Epoch  1, Batch    498, Loss  0.649750, Average Loss  0.642639, Time  0.240831
2021-09-15 02:55:06.054995 : Epoch  2, Batch    591, Loss  0.614142, Average Loss  0.615522, Time  0.230978
2021-09-15 02:55:06.579808 : Epoch  1, Batch    500, Loss  0.893201, Average Loss  0.895111, Time  0.265692
2021-09-15 02:55:07.356667 : Epoch  1, Batch    499, Loss  0.630893, Average Loss  0.642558, Time  0.259398
2021-09-15 02:55:07.586989 : Epoch  2, Batch    592, Loss  0.607271, Average Loss  0.615490, Time  0.231330
2021-09-15 02:55:09.043143 : Epoch  1, Batch    500, Loss  0.648724, Average Loss  0.642578, Time  0.260036
2021-09-15 02:55:09.113974 : Epoch  2, Batch    593, Loss  0.604795, Average Loss  0.615415, Time  0.231536
2021-09-15 02:55:10.642865 : Epoch  2, Batch    594, Loss  0.613017, Average Loss  0.615394, Time  0.231426
2021-09-15 02:55:12.183533 : Epoch  2, Batch    595, Loss  0.607673, Average Loss  0.615336, Time  0.231396
2021-09-15 02:55:13.730075 : Epoch  2, Batch    596, Loss  0.605536, Average Loss  0.615255, Time  0.232249
2021-09-15 02:55:15.285012 : Epoch  2, Batch    597, Loss  0.614619, Average Loss  0.615206, Time  0.231926
2021-09-15 02:55:16.826133 : Epoch  2, Batch    598, Loss  0.610636, Average Loss  0.615246, Time  0.231178
2021-09-15 02:55:18.369915 : Epoch  2, Batch    599, Loss  0.613239, Average Loss  0.615290, Time  0.231276
2021-09-15 02:55:19.924378 : Epoch  2, Batch    600, Loss  0.614031, Average Loss  0.615298, Time  0.233365
2021-09-15 02:55:21.463020 : Epoch  2, Batch    601, Loss  0.612872, Average Loss  0.615312, Time  0.232232
2021-09-15 02:55:23.007949 : Epoch  2, Batch    602, Loss  0.610806, Average Loss  0.615264, Time  0.231964
2021-09-15 02:55:24.555567 : Epoch  2, Batch    603, Loss  0.609675, Average Loss  0.615283, Time  0.231950
2021-09-15 02:55:26.103869 : Epoch  2, Batch    604, Loss  0.613378, Average Loss  0.615301, Time  0.231292
2021-09-15 02:55:27.674467 : Epoch  2, Batch    605, Loss  0.606692, Average Loss  0.615224, Time  0.231719
2021-09-15 02:55:29.218477 : Epoch  2, Batch    606, Loss  0.617696, Average Loss  0.615187, Time  0.231646
2021-09-15 02:55:30.766109 : Epoch  2, Batch    607, Loss  0.600375, Average Loss  0.615115, Time  0.231183
2021-09-15 02:55:32.322380 : Epoch  2, Batch    608, Loss  0.614568, Average Loss  0.615167, Time  0.233035
2021-09-15 02:55:33.869425 : Epoch  2, Batch    609, Loss  0.625988, Average Loss  0.615213, Time  0.230978
2021-09-15 02:55:35.425965 : Epoch  2, Batch    610, Loss  0.615282, Average Loss  0.615242, Time  0.231627
2021-09-15 02:55:36.973933 : Epoch  2, Batch    611, Loss  0.618833, Average Loss  0.615258, Time  0.231469
2021-09-15 02:55:38.518218 : Epoch  2, Batch    612, Loss  0.621635, Average Loss  0.615304, Time  0.231375
2021-09-15 02:55:40.065602 : Epoch  2, Batch    613, Loss  0.610594, Average Loss  0.615224, Time  0.231257
2021-09-15 02:56:05.858697 : CheckPoint: Validation Loss  0.00026809, Best Loss  0.00026191
2021-09-15 02:56:07.390749 : Epoch  1, Batch    501, Loss  0.649708, Average Loss  0.642638, Time  0.240875
2021-09-15 02:56:08.922358 : Epoch  1, Batch    502, Loss  0.647706, Average Loss  0.642656, Time  0.239406
2021-09-15 02:56:10.445931 : Epoch  1, Batch    503, Loss  0.641539, Average Loss  0.642671, Time  0.239599
2021-09-15 02:56:11.981448 : Epoch  1, Batch    504, Loss  0.643630, Average Loss  0.642649, Time  0.241858
2021-09-15 02:56:13.670375 : Epoch  1, Batch    505, Loss  0.631058, Average Loss  0.642555, Time  0.258510
2021-09-15 02:56:15.349758 : Epoch  1, Batch    506, Loss  0.637763, Average Loss  0.642513, Time  0.256908
2021-09-15 02:56:16.883747 : Epoch  1, Batch    507, Loss  0.641923, Average Loss  0.642499, Time  0.238783
2021-09-15 02:56:18.412958 : Epoch  1, Batch    508, Loss  0.648451, Average Loss  0.642501, Time  0.239342
2021-09-15 02:56:20.089800 : Epoch  1, Batch    509, Loss  0.635525, Average Loss  0.642521, Time  0.257436
2021-09-15 02:56:21.731047 : Epoch  1, Batch    510, Loss  0.645452, Average Loss  0.642506, Time  0.240491
2021-09-15 02:56:23.276962 : Epoch  1, Batch    511, Loss  0.644467, Average Loss  0.642464, Time  0.241611
2021-09-15 02:56:24.799178 : Epoch  1, Batch    512, Loss  0.656971, Average Loss  0.642600, Time  0.239535
2021-09-15 02:56:26.319832 : Epoch  1, Batch    513, Loss  0.641336, Average Loss  0.642613, Time  0.237742
2021-09-15 02:56:27.848972 : Epoch  1, Batch    514, Loss  0.645217, Average Loss  0.642614, Time  0.242393
2021-09-15 02:56:29.386053 : Epoch  1, Batch    515, Loss  0.648991, Average Loss  0.642613, Time  0.238847
2021-09-15 02:56:30.924930 : Epoch  1, Batch    516, Loss  0.650325, Average Loss  0.642657, Time  0.241915
2021-09-15 02:56:32.453955 : Epoch  1, Batch    517, Loss  0.640582, Average Loss  0.642664, Time  0.240895
2021-09-15 02:56:34.151499 : Epoch  1, Batch    518, Loss  0.644965, Average Loss  0.642699, Time  0.261134
2021-09-15 02:56:35.855412 : Epoch  1, Batch    519, Loss  0.648140, Average Loss  0.642685, Time  0.259977
2021-09-15 02:56:37.557471 : Epoch  1, Batch    520, Loss  0.651772, Average Loss  0.642718, Time  0.260831
2021-09-15 02:56:37.886974 : CheckPoint: Validation Loss  0.00025587, Best Loss  0.00025290
2021-09-15 02:56:39.240630 : Epoch  1, Batch    521, Loss  0.645503, Average Loss  0.642698, Time  0.258573
2021-09-15 02:56:39.432180 : Epoch  2, Batch    614, Loss  0.611551, Average Loss  0.615257, Time  0.232263
2021-09-15 02:56:40.802251 : Epoch  1, Batch    522, Loss  0.640648, Average Loss  0.642728, Time  0.243131
2021-09-15 02:56:40.974343 : Epoch  2, Batch    615, Loss  0.608749, Average Loss  0.615162, Time  0.231339
2021-09-15 02:56:42.338071 : Epoch  1, Batch    523, Loss  0.642646, Average Loss  0.642694, Time  0.241152
2021-09-15 02:56:42.513089 : Epoch  2, Batch    616, Loss  0.626814, Average Loss  0.615171, Time  0.231214
2021-09-15 02:56:43.876385 : Epoch  1, Batch    524, Loss  0.648076, Average Loss  0.642773, Time  0.242104
2021-09-15 02:56:44.052948 : Epoch  2, Batch    617, Loss  0.617505, Average Loss  0.615183, Time  0.230930
2021-09-15 02:56:45.414280 : Epoch  1, Batch    525, Loss  0.640140, Average Loss  0.642800, Time  0.241354
2021-09-15 02:56:45.602213 : Epoch  2, Batch    618, Loss  0.599994, Average Loss  0.615158, Time  0.231546
2021-09-15 02:56:46.939857 : Epoch  1, Batch    526, Loss  0.639504, Average Loss  0.642772, Time  0.240486
2021-09-15 02:56:47.149426 : Epoch  2, Batch    619, Loss  0.617742, Average Loss  0.615148, Time  0.231219
2021-09-15 02:56:48.482071 : Epoch  1, Batch    527, Loss  0.632011, Average Loss  0.642682, Time  0.242109
2021-09-15 02:56:48.689926 : Epoch  2, Batch    620, Loss  0.617180, Average Loss  0.615155, Time  0.232138
2021-09-15 02:56:50.003870 : Epoch  1, Batch    528, Loss  0.641817, Average Loss  0.642702, Time  0.238612
2021-09-15 02:56:50.242953 : Epoch  2, Batch    621, Loss  0.611495, Average Loss  0.615135, Time  0.231891
2021-09-15 02:56:51.532799 : Epoch  1, Batch    529, Loss  0.634636, Average Loss  0.642672, Time  0.241119
2021-09-15 02:56:51.794884 : Epoch  2, Batch    622, Loss  0.622572, Average Loss  0.615150, Time  0.231583
2021-09-15 02:56:53.082245 : Epoch  1, Batch    530, Loss  0.640257, Average Loss  0.642707, Time  0.243828
2021-09-15 02:56:53.339277 : Epoch  2, Batch    623, Loss  0.611791, Average Loss  0.615154, Time  0.231948
2021-09-15 02:56:54.616421 : Epoch  1, Batch    531, Loss  0.647457, Average Loss  0.642730, Time  0.240377
2021-09-15 02:56:54.877009 : Epoch  2, Batch    624, Loss  0.626394, Average Loss  0.615178, Time  0.231004
2021-09-15 02:56:56.146376 : Epoch  1, Batch    532, Loss  0.640682, Average Loss  0.642710, Time  0.240950
2021-09-15 02:56:56.423011 : Epoch  2, Batch    625, Loss  0.613374, Average Loss  0.615156, Time  0.231100
2021-09-15 02:56:57.674800 : Epoch  1, Batch    533, Loss  0.640289, Average Loss  0.642687, Time  0.241341
2021-09-15 02:56:57.974032 : Epoch  2, Batch    626, Loss  0.610287, Average Loss  0.615180, Time  0.231336
2021-09-15 02:56:59.206776 : Epoch  1, Batch    534, Loss  0.636806, Average Loss  0.642648, Time  0.241021
2021-09-15 02:56:59.521343 : Epoch  2, Batch    627, Loss  0.619131, Average Loss  0.615269, Time  0.232459
2021-09-15 02:57:00.742222 : Epoch  1, Batch    535, Loss  0.638342, Average Loss  0.642616, Time  0.244034
2021-09-15 02:57:01.073423 : Epoch  2, Batch    628, Loss  0.612553, Average Loss  0.615192, Time  0.231273
2021-09-15 02:57:02.423440 : Epoch  1, Batch    536, Loss  0.643567, Average Loss  0.642664, Time  0.259947
2021-09-15 02:57:02.618076 : Epoch  2, Batch    629, Loss  0.610924, Average Loss  0.615242, Time  0.231812
2021-09-15 02:57:03.959035 : Epoch  1, Batch    537, Loss  0.640668, Average Loss  0.642596, Time  0.239011
2021-09-15 02:57:04.148753 : Epoch  2, Batch    630, Loss  0.598986, Average Loss  0.615165, Time  0.231201
2021-09-15 02:57:05.494175 : Epoch  1, Batch    538, Loss  0.641855, Average Loss  0.642563, Time  0.240790
2021-09-15 02:57:05.679727 : Epoch  2, Batch    631, Loss  0.615009, Average Loss  0.615204, Time  0.231325
2021-09-15 02:57:07.053921 : Epoch  1, Batch    539, Loss  0.641194, Average Loss  0.642535, Time  0.241805
2021-09-15 02:57:07.242919 : Epoch  2, Batch    632, Loss  0.622855, Average Loss  0.615234, Time  0.231671
2021-09-15 02:57:08.587348 : Epoch  1, Batch    540, Loss  0.637200, Average Loss  0.642451, Time  0.239384
2021-09-15 02:57:08.779130 : Epoch  2, Batch    633, Loss  0.622533, Average Loss  0.615340, Time  0.232527
2021-09-15 02:57:10.111743 : Epoch  1, Batch    541, Loss  0.645551, Average Loss  0.642379, Time  0.240183
2021-09-15 02:57:10.323552 : Epoch  2, Batch    634, Loss  0.613628, Average Loss  0.615332, Time  0.231562
2021-09-15 02:57:11.650439 : Epoch  1, Batch    542, Loss  0.637896, Average Loss  0.642357, Time  0.243138
2021-09-15 02:57:11.868117 : Epoch  2, Batch    635, Loss  0.609258, Average Loss  0.615303, Time  0.232241
2021-09-15 02:57:13.185806 : Epoch  1, Batch    543, Loss  0.650596, Average Loss  0.642422, Time  0.242918
2021-09-15 02:57:13.398107 : Epoch  2, Batch    636, Loss  0.604723, Average Loss  0.615261, Time  0.231031
2021-09-15 02:57:14.858004 : Epoch  1, Batch    544, Loss  0.635887, Average Loss  0.642425, Time  0.259795
2021-09-15 02:57:14.936486 : Epoch  2, Batch    637, Loss  0.609524, Average Loss  0.615205, Time  0.232064
2021-09-15 02:57:16.485274 : Epoch  2, Batch    638, Loss  0.625138, Average Loss  0.615255, Time  0.231452
2021-09-15 02:57:16.532047 : Epoch  1, Batch    545, Loss  0.643119, Average Loss  0.642407, Time  0.256880
2021-09-15 02:57:18.032180 : Epoch  2, Batch    639, Loss  0.623148, Average Loss  0.615274, Time  0.233003
2021-09-15 02:57:18.240896 : Epoch  1, Batch    546, Loss  0.635028, Average Loss  0.642405, Time  0.260423
2021-09-15 02:57:19.579981 : Epoch  2, Batch    640, Loss  0.623549, Average Loss  0.615324, Time  0.231714
2021-09-15 02:57:19.917998 : Epoch  1, Batch    547, Loss  0.639257, Average Loss  0.642413, Time  0.256486
2021-09-15 02:57:21.135403 : Epoch  2, Batch    641, Loss  0.622382, Average Loss  0.615350, Time  0.231380
2021-09-15 02:57:21.585592 : Epoch  1, Batch    548, Loss  0.630668, Average Loss  0.642328, Time  0.256922
2021-09-15 02:57:22.677392 : Epoch  2, Batch    642, Loss  0.600435, Average Loss  0.615244, Time  0.231064
2021-09-15 02:57:23.154423 : Epoch  1, Batch    549, Loss  0.643781, Average Loss  0.642287, Time  0.241680
2021-09-15 02:57:24.220370 : Epoch  2, Batch    643, Loss  0.611975, Average Loss  0.615224, Time  0.231254
2021-09-15 02:57:24.674918 : Epoch  1, Batch    550, Loss  0.639529, Average Loss  0.642308, Time  0.240800
2021-09-15 02:57:25.762025 : Epoch  2, Batch    644, Loss  0.613812, Average Loss  0.615189, Time  0.231302
2021-09-15 02:57:26.204777 : Epoch  1, Batch    551, Loss  0.650759, Average Loss  0.642329, Time  0.240951
2021-09-15 02:57:27.310392 : Epoch  2, Batch    645, Loss  0.612922, Average Loss  0.615247, Time  0.231275
2021-09-15 02:57:27.724702 : Epoch  1, Batch    552, Loss  0.634753, Average Loss  0.642301, Time  0.239577
2021-09-15 02:57:28.869133 : Epoch  2, Batch    646, Loss  0.609223, Average Loss  0.615273, Time  0.231408
2021-09-15 02:57:29.258808 : Epoch  1, Batch    553, Loss  0.658839, Average Loss  0.642312, Time  0.240224
2021-09-15 02:57:30.430315 : Epoch  2, Batch    647, Loss  0.605166, Average Loss  0.615198, Time  0.231542
2021-09-15 02:57:30.784831 : Epoch  1, Batch    554, Loss  0.643730, Average Loss  0.642300, Time  0.240996
2021-09-15 02:57:31.987806 : Epoch  2, Batch    648, Loss  0.614333, Average Loss  0.615207, Time  0.231703
2021-09-15 02:57:32.299775 : Epoch  1, Batch    555, Loss  0.639960, Average Loss  0.642253, Time  0.237717
2021-09-15 02:57:33.528941 : Epoch  2, Batch    649, Loss  0.617677, Average Loss  0.615230, Time  0.231365
2021-09-15 02:57:33.816334 : Epoch  1, Batch    556, Loss  0.631214, Average Loss  0.642184, Time  0.239895
2021-09-15 02:57:35.076913 : Epoch  2, Batch    650, Loss  0.607628, Average Loss  0.615147, Time  0.231428
2021-09-15 02:57:35.340191 : Epoch  1, Batch    557, Loss  0.632756, Average Loss  0.642136, Time  0.241198
2021-09-15 02:57:36.614532 : Epoch  2, Batch    651, Loss  0.610829, Average Loss  0.615092, Time  0.231449
2021-09-15 02:57:36.868302 : Epoch  1, Batch    558, Loss  0.646296, Average Loss  0.642151, Time  0.239644
2021-09-15 02:57:38.165913 : Epoch  2, Batch    652, Loss  0.615655, Average Loss  0.615042, Time  0.231272
2021-09-15 02:57:38.387015 : Epoch  1, Batch    559, Loss  0.634152, Average Loss  0.642021, Time  0.240666
2021-09-15 02:57:39.704876 : Epoch  2, Batch    653, Loss  0.606088, Average Loss  0.615005, Time  0.231850
2021-09-15 02:57:39.911793 : Epoch  1, Batch    560, Loss  0.646028, Average Loss  0.642045, Time  0.241252
2021-09-15 02:57:41.260056 : Epoch  2, Batch    654, Loss  0.611137, Average Loss  0.615012, Time  0.231130
2021-09-15 02:57:41.459430 : Epoch  1, Batch    561, Loss  0.652050, Average Loss  0.642077, Time  0.240942
2021-09-15 02:57:42.808122 : Epoch  2, Batch    655, Loss  0.623669, Average Loss  0.615074, Time  0.231623
2021-09-15 02:57:42.992446 : Epoch  1, Batch    562, Loss  0.637852, Average Loss  0.642088, Time  0.241515
2021-09-15 02:57:44.356895 : Epoch  2, Batch    656, Loss  0.609402, Average Loss  0.615081, Time  0.232150
2021-09-15 02:57:44.514121 : Epoch  1, Batch    563, Loss  0.647552, Average Loss  0.642105, Time  0.238808
2021-09-15 02:57:45.913345 : Epoch  2, Batch    657, Loss  0.612570, Average Loss  0.615117, Time  0.232471
2021-09-15 02:57:46.028980 : Epoch  1, Batch    564, Loss  0.639610, Average Loss  0.642089, Time  0.238253
2021-09-15 02:57:47.462905 : Epoch  2, Batch    658, Loss  0.614838, Average Loss  0.615069, Time  0.232031
2021-09-15 02:57:47.557934 : Epoch  1, Batch    565, Loss  0.641461, Average Loss  0.642117, Time  0.241126
2021-09-15 02:57:49.015196 : Epoch  2, Batch    659, Loss  0.611202, Average Loss  0.615022, Time  0.231649
2021-09-15 02:57:49.092124 : Epoch  1, Batch    566, Loss  0.637505, Average Loss  0.642068, Time  0.240738
2021-09-15 02:57:50.560442 : Epoch  2, Batch    660, Loss  0.620536, Average Loss  0.615034, Time  0.231205
2021-09-15 02:57:50.623125 : Epoch  1, Batch    567, Loss  0.642058, Average Loss  0.642126, Time  0.238601
2021-09-15 02:57:52.106057 : Epoch  2, Batch    661, Loss  0.615966, Average Loss  0.615055, Time  0.231545
2021-09-15 02:57:52.155349 : Epoch  1, Batch    568, Loss  0.639336, Average Loss  0.642097, Time  0.239810
2021-09-15 02:57:53.660886 : Epoch  2, Batch    662, Loss  0.605385, Average Loss  0.615054, Time  0.232810
2021-09-15 02:57:53.695208 : Epoch  1, Batch    569, Loss  0.649578, Average Loss  0.642095, Time  0.239536
2021-09-15 02:57:55.204161 : Epoch  2, Batch    663, Loss  0.610168, Average Loss  0.614960, Time  0.231663
2021-09-15 02:57:55.245421 : Epoch  1, Batch    570, Loss  0.639785, Average Loss  0.642093, Time  0.242224
2021-09-15 02:57:56.754036 : Epoch  2, Batch    664, Loss  0.608346, Average Loss  0.614911, Time  0.232468
2021-09-15 02:57:58.299823 : Epoch  2, Batch    665, Loss  0.612607, Average Loss  0.614877, Time  0.232585
2021-09-15 02:57:59.143187 : Epoch  1, Batch    571, Loss  0.636045, Average Loss  0.642074, Time  0.276255
2021-09-15 02:57:59.852281 : Epoch  2, Batch    666, Loss  0.610440, Average Loss  0.614810, Time  0.231967
2021-09-15 02:58:00.715548 : Epoch  1, Batch    572, Loss  0.631857, Average Loss  0.641950, Time  0.255529
2021-09-15 02:58:01.405063 : Epoch  2, Batch    667, Loss  0.615239, Average Loss  0.614761, Time  0.231769
2021-09-15 02:58:02.244444 : Epoch  1, Batch    573, Loss  0.634432, Average Loss  0.641933, Time  0.238389
2021-09-15 02:58:02.951044 : Epoch  2, Batch    668, Loss  0.616085, Average Loss  0.614759, Time  0.232409
2021-09-15 02:58:03.923194 : Epoch  1, Batch    574, Loss  0.647925, Average Loss  0.641996, Time  0.260026
2021-09-15 02:58:04.498558 : Epoch  2, Batch    669, Loss  0.627121, Average Loss  0.614845, Time  0.231208
2021-09-15 02:58:05.618889 : Epoch  1, Batch    575, Loss  0.646197, Average Loss  0.642018, Time  0.258547
2021-09-15 02:58:06.055004 : Epoch  2, Batch    670, Loss  0.604437, Average Loss  0.614804, Time  0.234239
2021-09-15 02:58:07.159904 : Epoch  1, Batch    576, Loss  0.647116, Average Loss  0.642049, Time  0.239256
2021-09-15 02:58:07.602572 : Epoch  2, Batch    671, Loss  0.615713, Average Loss  0.614749, Time  0.233413
2021-09-15 02:58:08.690899 : Epoch  1, Batch    577, Loss  0.644070, Average Loss  0.642053, Time  0.237788
2021-09-15 02:58:09.145003 : Epoch  2, Batch    672, Loss  0.616514, Average Loss  0.614783, Time  0.231723
2021-09-15 02:58:10.212351 : Epoch  1, Batch    578, Loss  0.631792, Average Loss  0.642007, Time  0.239717
2021-09-15 02:58:10.695612 : Epoch  2, Batch    673, Loss  0.608477, Average Loss  0.614802, Time  0.231770
2021-09-15 02:58:11.754928 : Epoch  1, Batch    579, Loss  0.653511, Average Loss  0.642030, Time  0.240260
2021-09-15 02:58:12.257911 : Epoch  2, Batch    674, Loss  0.612735, Average Loss  0.614819, Time  0.231534
2021-09-15 02:58:13.282372 : Epoch  1, Batch    580, Loss  0.645903, Average Loss  0.642024, Time  0.238263
2021-09-15 02:58:13.830413 : Epoch  2, Batch    675, Loss  0.612416, Average Loss  0.614800, Time  0.232642
2021-09-15 02:58:14.812797 : Epoch  1, Batch    581, Loss  0.635803, Average Loss  0.641959, Time  0.240592
2021-09-15 02:58:15.380991 : Epoch  2, Batch    676, Loss  0.620480, Average Loss  0.614824, Time  0.232003
2021-09-15 02:58:16.348412 : Epoch  1, Batch    582, Loss  0.646321, Average Loss  0.641973, Time  0.241152
2021-09-15 02:58:16.928586 : Epoch  2, Batch    677, Loss  0.611708, Average Loss  0.614844, Time  0.231406
2021-09-15 02:58:17.888144 : Epoch  1, Batch    583, Loss  0.638597, Average Loss  0.641947, Time  0.241467
2021-09-15 02:58:18.475907 : Epoch  2, Batch    678, Loss  0.616798, Average Loss  0.614810, Time  0.231606
2021-09-15 02:58:19.412814 : Epoch  1, Batch    584, Loss  0.637013, Average Loss  0.641931, Time  0.240672
2021-09-15 02:58:20.025440 : Epoch  2, Batch    679, Loss  0.618948, Average Loss  0.614781, Time  0.231786
2021-09-15 02:58:20.935052 : Epoch  1, Batch    585, Loss  0.637702, Average Loss  0.641962, Time  0.240131
2021-09-15 02:58:21.577430 : Epoch  2, Batch    680, Loss  0.612318, Average Loss  0.614748, Time  0.231310
2021-09-15 02:58:22.478335 : Epoch  1, Batch    586, Loss  0.637788, Average Loss  0.641913, Time  0.242481
2021-09-15 02:58:23.126379 : Epoch  2, Batch    681, Loss  0.604777, Average Loss  0.614698, Time  0.232752
2021-09-15 02:58:24.027808 : Epoch  1, Batch    587, Loss  0.629274, Average Loss  0.641855, Time  0.242017
2021-09-15 02:58:24.670331 : Epoch  2, Batch    682, Loss  0.607776, Average Loss  0.614656, Time  0.231457
2021-09-15 02:58:25.550771 : Epoch  1, Batch    588, Loss  0.641776, Average Loss  0.641872, Time  0.241212
2021-09-15 02:58:26.221220 : Epoch  2, Batch    683, Loss  0.611930, Average Loss  0.614659, Time  0.231401
2021-09-15 02:58:27.078320 : Epoch  1, Batch    589, Loss  0.641306, Average Loss  0.641843, Time  0.240370
2021-09-15 02:58:28.766885 : Epoch  1, Batch    590, Loss  0.641658, Average Loss  0.641847, Time  0.259300
2021-09-15 02:58:30.081411 : Epoch  2, Batch    684, Loss  0.621704, Average Loss  0.614684, Time  0.268123
2021-09-15 02:58:30.448439 : Epoch  1, Batch    591, Loss  0.648567, Average Loss  0.641845, Time  0.256907
2021-09-15 02:58:31.660261 : Epoch  2, Batch    685, Loss  0.608826, Average Loss  0.614625, Time  0.245866
2021-09-15 02:58:32.121024 : Epoch  1, Batch    592, Loss  0.640620, Average Loss  0.641822, Time  0.257014
2021-09-15 02:58:33.208357 : Epoch  2, Batch    686, Loss  0.607820, Average Loss  0.614583, Time  0.230999
2021-09-15 02:58:33.824865 : Epoch  1, Batch    593, Loss  0.642859, Average Loss  0.641813, Time  0.260226
2021-09-15 02:58:34.756437 : Epoch  2, Batch    687, Loss  0.634341, Average Loss  0.614666, Time  0.231686
2021-09-15 02:58:35.350813 : Epoch  1, Batch    594, Loss  0.634437, Average Loss  0.641760, Time  0.238920
2021-09-15 02:58:36.309557 : Epoch  2, Batch    688, Loss  0.618325, Average Loss  0.614710, Time  0.231192
2021-09-15 02:58:36.878847 : Epoch  1, Batch    595, Loss  0.643726, Average Loss  0.641761, Time  0.237858
2021-09-15 02:58:37.862100 : Epoch  2, Batch    689, Loss  0.614423, Average Loss  0.614688, Time  0.231837
2021-09-15 02:58:38.427064 : Epoch  1, Batch    596, Loss  0.636773, Average Loss  0.641725, Time  0.238243
2021-09-15 02:58:39.418840 : Epoch  2, Batch    690, Loss  0.611984, Average Loss  0.614607, Time  0.231905
2021-09-15 02:58:39.962460 : Epoch  1, Batch    597, Loss  0.637660, Average Loss  0.641681, Time  0.240255
2021-09-15 02:58:40.954978 : Epoch  2, Batch    691, Loss  0.612767, Average Loss  0.614563, Time  0.231136
2021-09-15 02:58:41.487785 : Epoch  1, Batch    598, Loss  0.643361, Average Loss  0.641696, Time  0.239264
2021-09-15 02:58:42.502045 : Epoch  2, Batch    692, Loss  0.618691, Average Loss  0.614606, Time  0.233053
2021-09-15 02:58:43.008931 : Epoch  1, Batch    599, Loss  0.635458, Average Loss  0.641659, Time  0.239821
2021-09-15 02:58:44.037871 : Epoch  2, Batch    693, Loss  0.611497, Average Loss  0.614607, Time  0.231473
2021-09-15 02:58:44.537814 : Epoch  1, Batch    600, Loss  0.647058, Average Loss  0.641707, Time  0.238828
2021-09-15 02:58:45.599357 : Epoch  2, Batch    694, Loss  0.619464, Average Loss  0.614585, Time  0.233285
2021-09-15 02:58:47.151191 : Epoch  2, Batch    695, Loss  0.613258, Average Loss  0.614610, Time  0.233015
2021-09-15 02:58:48.708099 : Epoch  2, Batch    696, Loss  0.616015, Average Loss  0.614622, Time  0.232234
2021-09-15 02:58:50.260326 : Epoch  2, Batch    697, Loss  0.618515, Average Loss  0.614641, Time  0.231956
2021-09-15 02:58:51.808306 : Epoch  2, Batch    698, Loss  0.609270, Average Loss  0.614617, Time  0.231401
2021-09-15 02:58:53.352041 : Epoch  2, Batch    699, Loss  0.602999, Average Loss  0.614587, Time  0.231328
2021-09-15 02:58:54.893760 : Epoch  2, Batch    700, Loss  0.610354, Average Loss  0.614550, Time  0.231059
2021-09-15 02:58:56.438934 : Epoch  2, Batch    701, Loss  0.612812, Average Loss  0.614535, Time  0.232282
2021-09-15 02:58:57.991377 : Epoch  2, Batch    702, Loss  0.606256, Average Loss  0.614485, Time  0.231655
2021-09-15 02:58:59.552108 : Epoch  2, Batch    703, Loss  0.604671, Average Loss  0.614422, Time  0.231433
2021-09-15 02:59:01.104035 : Epoch  2, Batch    704, Loss  0.616512, Average Loss  0.614434, Time  0.232886
2021-09-15 02:59:02.659111 : Epoch  2, Batch    705, Loss  0.619783, Average Loss  0.614423, Time  0.232368
2021-09-15 02:59:04.207447 : Epoch  2, Batch    706, Loss  0.614051, Average Loss  0.614399, Time  0.231116
2021-09-15 02:59:05.759828 : Epoch  2, Batch    707, Loss  0.630319, Average Loss  0.614503, Time  0.232139
2021-09-15 02:59:07.309045 : Epoch  2, Batch    708, Loss  0.619985, Average Loss  0.614556, Time  0.231112
2021-09-15 02:59:08.875183 : Epoch  2, Batch    709, Loss  0.616978, Average Loss  0.614564, Time  0.232106
2021-09-15 02:59:10.426877 : Epoch  2, Batch    710, Loss  0.622298, Average Loss  0.614616, Time  0.231255
2021-09-15 02:59:11.983666 : Epoch  2, Batch    711, Loss  0.612514, Average Loss  0.614646, Time  0.236691
2021-09-15 02:59:13.537858 : Epoch  2, Batch    712, Loss  0.615073, Average Loss  0.614632, Time  0.231340
2021-09-15 02:59:15.095208 : Epoch  2, Batch    713, Loss  0.617872, Average Loss  0.614639, Time  0.231019
2021-09-15 02:59:41.338881 : CheckPoint: Validation Loss  0.00026573, Best Loss  0.00026191
2021-09-15 02:59:42.868105 : Epoch  1, Batch    601, Loss  0.641480, Average Loss  0.641710, Time  0.240933
2021-09-15 02:59:44.385949 : Epoch  1, Batch    602, Loss  0.634462, Average Loss  0.641661, Time  0.238710
2021-09-15 02:59:45.872857 : CheckPoint: Validation Loss  0.00030302, Best Loss  0.00030302
2021-09-15 02:59:45.905432 : Best Model Updated
2021-09-15 02:59:45.904983 : Epoch  1, Batch    603, Loss  0.646977, Average Loss  0.641694, Time  0.239519
2021-09-15 02:59:47.478936 : Epoch  1, Batch    604, Loss  0.623143, Average Loss  0.641615, Time  0.241306
2021-09-15 02:59:49.020169 : Epoch  1, Batch    605, Loss  0.642685, Average Loss  0.641640, Time  0.241956
2021-09-15 02:59:49.851965 : Epoch  1, Batch    501, Loss  0.879120, Average Loss  0.895017, Time  0.267922
2021-09-15 02:59:50.537017 : Epoch  1, Batch    606, Loss  0.638801, Average Loss  0.641653, Time  0.240470
2021-09-15 02:59:52.048751 : Epoch  1, Batch    607, Loss  0.633310, Average Loss  0.641586, Time  0.238982
2021-09-15 02:59:52.839179 : Epoch  1, Batch    502, Loss  0.888034, Average Loss  0.894963, Time  0.264553
2021-09-15 02:59:53.571440 : Epoch  1, Batch    608, Loss  0.637507, Average Loss  0.641565, Time  0.239115
2021-09-15 02:59:55.104122 : Epoch  1, Batch    609, Loss  0.640037, Average Loss  0.641549, Time  0.239272
2021-09-15 02:59:55.821374 : Epoch  1, Batch    503, Loss  0.876836, Average Loss  0.894760, Time  0.264930
2021-09-15 02:59:56.622329 : Epoch  1, Batch    610, Loss  0.640430, Average Loss  0.641580, Time  0.241325
2021-09-15 02:59:58.133997 : Epoch  1, Batch    611, Loss  0.636928, Average Loss  0.641559, Time  0.237184
2021-09-15 02:59:58.809957 : Epoch  1, Batch    504, Loss  0.901279, Average Loss  0.894778, Time  0.265395
2021-09-15 02:59:59.649976 : Epoch  1, Batch    612, Loss  0.643430, Average Loss  0.641581, Time  0.240541
2021-09-15 03:00:01.180211 : Epoch  1, Batch    613, Loss  0.649740, Average Loss  0.641610, Time  0.242573
2021-09-15 03:00:01.831486 : Epoch  1, Batch    505, Loss  0.897096, Average Loss  0.894747, Time  0.265679
2021-09-15 03:00:02.707277 : Epoch  1, Batch    614, Loss  0.632609, Average Loss  0.641551, Time  0.238345
2021-09-15 03:00:04.382574 : Epoch  1, Batch    615, Loss  0.637652, Average Loss  0.641531, Time  0.239882
2021-09-15 03:00:04.827286 : Epoch  1, Batch    506, Loss  0.881476, Average Loss  0.894678, Time  0.274294
2021-09-15 03:00:06.089892 : Epoch  1, Batch    616, Loss  0.644403, Average Loss  0.641524, Time  0.261162
2021-09-15 03:00:07.635820 : Epoch  1, Batch    617, Loss  0.639792, Average Loss  0.641516, Time  0.241387
2021-09-15 03:00:07.808006 : Epoch  1, Batch    507, Loss  0.862362, Average Loss  0.894470, Time  0.266217
2021-09-15 03:00:09.170408 : Epoch  1, Batch    618, Loss  0.638220, Average Loss  0.641542, Time  0.240585
2021-09-15 03:00:10.700970 : Epoch  1, Batch    619, Loss  0.643232, Average Loss  0.641514, Time  0.241880
2021-09-15 03:00:10.808953 : Epoch  1, Batch    508, Loss  0.910474, Average Loss  0.894564, Time  0.265103
2021-09-15 03:00:12.230367 : Epoch  1, Batch    620, Loss  0.641079, Average Loss  0.641501, Time  0.238610
2021-09-15 03:00:13.104918 : CheckPoint: Validation Loss  0.00025797, Best Loss  0.00025290
2021-09-15 03:00:13.770806 : Epoch  1, Batch    621, Loss  0.653203, Average Loss  0.641579, Time  0.241843
2021-09-15 03:00:13.828906 : Epoch  1, Batch    509, Loss  0.881498, Average Loss  0.894340, Time  0.264892
2021-09-15 03:00:14.691497 : Epoch  2, Batch    714, Loss  0.609494, Average Loss  0.614541, Time  0.266334
2021-09-15 03:00:15.306944 : Epoch  1, Batch    622, Loss  0.638095, Average Loss  0.641584, Time  0.241348
2021-09-15 03:00:16.244297 : Epoch  2, Batch    715, Loss  0.620090, Average Loss  0.614571, Time  0.233943
2021-09-15 03:00:16.824878 : Epoch  1, Batch    510, Loss  0.880945, Average Loss  0.894352, Time  0.265102
2021-09-15 03:00:16.831797 : Epoch  1, Batch    623, Loss  0.637108, Average Loss  0.641554, Time  0.240091
2021-09-15 03:00:17.799322 : Epoch  2, Batch    716, Loss  0.608097, Average Loss  0.614555, Time  0.231209
2021-09-15 03:00:18.402059 : Epoch  1, Batch    624, Loss  0.636506, Average Loss  0.641530, Time  0.240141
2021-09-15 03:00:19.344676 : Epoch  2, Batch    717, Loss  0.604644, Average Loss  0.614489, Time  0.232670
2021-09-15 03:00:19.813100 : Epoch  1, Batch    511, Loss  0.860965, Average Loss  0.894129, Time  0.264617
2021-09-15 03:00:19.925888 : Epoch  1, Batch    625, Loss  0.647163, Average Loss  0.641598, Time  0.241076
2021-09-15 03:00:20.903990 : Epoch  2, Batch    718, Loss  0.614087, Average Loss  0.614564, Time  0.231453
2021-09-15 03:00:21.438886 : Epoch  1, Batch    626, Loss  0.639284, Average Loss  0.641591, Time  0.240549
2021-09-15 03:00:22.457744 : Epoch  2, Batch    719, Loss  0.613206, Average Loss  0.614603, Time  0.231188
2021-09-15 03:00:22.825894 : Epoch  1, Batch    512, Loss  0.901894, Average Loss  0.894127, Time  0.264802
2021-09-15 03:00:23.135900 : Epoch  1, Batch    627, Loss  0.640384, Average Loss  0.641554, Time  0.260427
2021-09-15 03:00:24.007073 : Epoch  2, Batch    720, Loss  0.608577, Average Loss  0.614608, Time  0.232012
2021-09-15 03:00:24.664075 : Epoch  1, Batch    628, Loss  0.638152, Average Loss  0.641533, Time  0.240578
2021-09-15 03:00:25.553329 : Epoch  2, Batch    721, Loss  0.609918, Average Loss  0.614588, Time  0.231450
2021-09-15 03:00:25.826147 : Epoch  1, Batch    513, Loss  0.905096, Average Loss  0.894050, Time  0.265872
2021-09-15 03:00:26.341759 : Epoch  1, Batch    629, Loss  0.628637, Average Loss  0.641426, Time  0.256569
2021-09-15 03:00:27.110124 : Epoch  2, Batch    722, Loss  0.609376, Average Loss  0.614541, Time  0.231451
2021-09-15 03:00:28.040462 : Epoch  1, Batch    630, Loss  0.643078, Average Loss  0.641443, Time  0.259463
2021-09-15 03:00:28.663822 : Epoch  2, Batch    723, Loss  0.606507, Average Loss  0.614448, Time  0.231520
2021-09-15 03:00:28.836916 : Epoch  1, Batch    514, Loss  0.894461, Average Loss  0.894065, Time  0.265630
2021-09-15 03:00:29.710663 : Epoch  1, Batch    631, Loss  0.629156, Average Loss  0.641331, Time  0.258031
2021-09-15 03:00:30.230006 : Epoch  2, Batch    724, Loss  0.616252, Average Loss  0.614449, Time  0.231514
2021-09-15 03:00:31.231325 : Epoch  1, Batch    632, Loss  0.647953, Average Loss  0.641362, Time  0.238595
2021-09-15 03:00:31.774195 : Epoch  2, Batch    725, Loss  0.618280, Average Loss  0.614456, Time  0.230994
2021-09-15 03:00:31.847740 : Epoch  1, Batch    515, Loss  0.886673, Average Loss  0.894083, Time  0.264512
2021-09-15 03:00:32.774017 : Epoch  1, Batch    633, Loss  0.637480, Average Loss  0.641344, Time  0.239381
2021-09-15 03:00:33.322082 : Epoch  2, Batch    726, Loss  0.615617, Average Loss  0.614447, Time  0.231470
2021-09-15 03:00:34.309391 : Epoch  1, Batch    634, Loss  0.647596, Average Loss  0.641313, Time  0.242314
2021-09-15 03:00:34.855961 : Epoch  1, Batch    516, Loss  0.886619, Average Loss  0.894024, Time  0.265847
2021-09-15 03:00:34.862091 : Epoch  2, Batch    727, Loss  0.614167, Average Loss  0.614440, Time  0.231102
2021-09-15 03:00:35.838752 : Epoch  1, Batch    635, Loss  0.638380, Average Loss  0.641286, Time  0.240359
2021-09-15 03:00:36.457291 : Epoch  2, Batch    728, Loss  0.609135, Average Loss  0.614412, Time  0.231219
2021-09-15 03:00:37.364831 : Epoch  1, Batch    636, Loss  0.640209, Average Loss  0.641279, Time  0.238555
2021-09-15 03:00:37.887541 : Epoch  1, Batch    517, Loss  0.900582, Average Loss  0.894054, Time  0.264658
2021-09-15 03:00:37.996398 : Epoch  2, Batch    729, Loss  0.603960, Average Loss  0.614367, Time  0.231106
2021-09-15 03:00:38.905872 : Epoch  1, Batch    637, Loss  0.637055, Average Loss  0.641264, Time  0.239580
2021-09-15 03:00:39.540485 : Epoch  2, Batch    730, Loss  0.619291, Average Loss  0.614362, Time  0.231207
2021-09-15 03:00:40.434375 : Epoch  1, Batch    638, Loss  0.635240, Average Loss  0.641234, Time  0.239546
2021-09-15 03:00:40.878993 : Epoch  1, Batch    518, Loss  0.875486, Average Loss  0.893971, Time  0.266407
2021-09-15 03:00:41.103753 : Epoch  2, Batch    731, Loss  0.609427, Average Loss  0.614355, Time  0.233319
2021-09-15 03:00:41.963912 : Epoch  1, Batch    639, Loss  0.638756, Average Loss  0.641223, Time  0.238585
2021-09-15 03:00:42.652764 : Epoch  2, Batch    732, Loss  0.618369, Average Loss  0.614355, Time  0.231440
2021-09-15 03:00:43.492026 : Epoch  1, Batch    640, Loss  0.641715, Average Loss  0.641185, Time  0.239239
2021-09-15 03:00:43.891884 : Epoch  1, Batch    519, Loss  0.888069, Average Loss  0.893914, Time  0.265839
2021-09-15 03:00:44.207660 : Epoch  2, Batch    733, Loss  0.611794, Average Loss  0.614378, Time  0.233823
2021-09-15 03:00:45.045801 : Epoch  1, Batch    641, Loss  0.644789, Average Loss  0.641184, Time  0.239966
2021-09-15 03:00:45.749460 : Epoch  2, Batch    734, Loss  0.621550, Average Loss  0.614388, Time  0.233177
2021-09-15 03:00:46.593840 : Epoch  1, Batch    642, Loss  0.648617, Average Loss  0.641287, Time  0.242827
2021-09-15 03:00:46.873376 : Epoch  1, Batch    520, Loss  0.874147, Average Loss  0.893815, Time  0.265715
2021-09-15 03:00:47.302696 : Epoch  2, Batch    735, Loss  0.614940, Average Loss  0.614483, Time  0.231234
2021-09-15 03:00:48.128825 : Epoch  1, Batch    643, Loss  0.649683, Average Loss  0.641330, Time  0.242121
2021-09-15 03:00:48.847979 : Epoch  2, Batch    736, Loss  0.617922, Average Loss  0.614524, Time  0.234149
2021-09-15 03:00:49.671011 : Epoch  1, Batch    644, Loss  0.639734, Average Loss  0.641284, Time  0.239385
2021-09-15 03:00:49.898359 : Epoch  1, Batch    521, Loss  0.883995, Average Loss  0.893669, Time  0.277334
2021-09-15 03:00:50.390390 : Epoch  2, Batch    737, Loss  0.611207, Average Loss  0.614494, Time  0.232215
2021-09-15 03:00:51.198778 : Epoch  1, Batch    645, Loss  0.639828, Average Loss  0.641246, Time  0.240938
2021-09-15 03:00:51.929061 : Epoch  2, Batch    738, Loss  0.613118, Average Loss  0.614481, Time  0.231635
2021-09-15 03:00:52.726333 : Epoch  1, Batch    646, Loss  0.646383, Average Loss  0.641268, Time  0.240043
2021-09-15 03:00:52.923867 : Epoch  1, Batch    522, Loss  0.884209, Average Loss  0.893747, Time  0.265808
2021-09-15 03:00:53.477368 : Epoch  2, Batch    739, Loss  0.619568, Average Loss  0.614449, Time  0.231234
2021-09-15 03:00:54.255351 : Epoch  1, Batch    647, Loss  0.644904, Average Loss  0.641316, Time  0.240303
2021-09-15 03:00:55.028533 : Epoch  2, Batch    740, Loss  0.613223, Average Loss  0.614410, Time  0.231445
2021-09-15 03:00:55.787857 : Epoch  1, Batch    648, Loss  0.639265, Average Loss  0.641323, Time  0.240722
2021-09-15 03:00:55.912341 : Epoch  1, Batch    523, Loss  0.876041, Average Loss  0.893575, Time  0.265216
2021-09-15 03:00:56.586069 : Epoch  2, Batch    741, Loss  0.602035, Average Loss  0.614328, Time  0.232884
2021-09-15 03:00:57.315931 : Epoch  1, Batch    649, Loss  0.636286, Average Loss  0.641312, Time  0.241577
2021-09-15 03:00:58.130192 : Epoch  2, Batch    742, Loss  0.612314, Average Loss  0.614305, Time  0.231931
2021-09-15 03:00:58.834382 : Epoch  1, Batch    650, Loss  0.636256, Average Loss  0.641326, Time  0.239768
2021-09-15 03:00:58.900864 : Epoch  1, Batch    524, Loss  0.878343, Average Loss  0.893548, Time  0.265160
2021-09-15 03:00:59.673559 : Epoch  2, Batch    743, Loss  0.602500, Average Loss  0.614203, Time  0.231561
2021-09-15 03:01:00.365762 : Epoch  1, Batch    651, Loss  0.634475, Average Loss  0.641298, Time  0.240704
2021-09-15 03:01:01.232945 : Epoch  2, Batch    744, Loss  0.610433, Average Loss  0.614173, Time  0.231798
2021-09-15 03:01:01.884775 : Epoch  1, Batch    652, Loss  0.652781, Average Loss  0.641315, Time  0.238867
2021-09-15 03:01:01.931009 : Epoch  1, Batch    525, Loss  0.889796, Average Loss  0.893449, Time  0.265518
2021-09-15 03:01:02.786497 : Epoch  2, Batch    745, Loss  0.615871, Average Loss  0.614197, Time  0.231180
2021-09-15 03:01:03.409762 : Epoch  1, Batch    653, Loss  0.623718, Average Loss  0.641206, Time  0.241209
2021-09-15 03:01:04.333919 : Epoch  2, Batch    746, Loss  0.605687, Average Loss  0.614170, Time  0.231341
2021-09-15 03:01:04.940979 : Epoch  1, Batch    526, Loss  0.892386, Average Loss  0.893432, Time  0.265189
2021-09-15 03:01:05.106454 : Epoch  1, Batch    654, Loss  0.649724, Average Loss  0.641214, Time  0.261367
2021-09-15 03:01:05.879902 : Epoch  2, Batch    747, Loss  0.615094, Average Loss  0.614159, Time  0.232153
2021-09-15 03:01:06.798173 : Epoch  1, Batch    655, Loss  0.633596, Average Loss  0.641155, Time  0.259610
2021-09-15 03:01:07.434943 : Epoch  2, Batch    748, Loss  0.615511, Average Loss  0.614128, Time  0.232120
2021-09-15 03:01:07.956914 : Epoch  1, Batch    527, Loss  0.883140, Average Loss  0.893369, Time  0.266456
2021-09-15 03:01:08.348422 : Epoch  1, Batch    656, Loss  0.644740, Average Loss  0.641200, Time  0.241795
2021-09-15 03:01:08.998571 : Epoch  2, Batch    749, Loss  0.621194, Average Loss  0.614197, Time  0.232584
2021-09-15 03:01:09.869399 : Epoch  1, Batch    657, Loss  0.643139, Average Loss  0.641187, Time  0.238173
2021-09-15 03:01:10.559954 : Epoch  2, Batch    750, Loss  0.621261, Average Loss  0.614165, Time  0.232207
2021-09-15 03:01:10.955517 : Epoch  1, Batch    528, Loss  0.898417, Average Loss  0.893313, Time  0.264902
2021-09-15 03:01:11.401462 : Epoch  1, Batch    658, Loss  0.637205, Average Loss  0.641167, Time  0.238656
2021-09-15 03:01:12.110923 : Epoch  2, Batch    751, Loss  0.613533, Average Loss  0.614149, Time  0.232523
2021-09-15 03:01:12.923324 : Epoch  1, Batch    659, Loss  0.639961, Average Loss  0.641139, Time  0.238202
2021-09-15 03:01:13.666542 : Epoch  2, Batch    752, Loss  0.622479, Average Loss  0.614180, Time  0.231286
2021-09-15 03:01:13.959477 : Epoch  1, Batch    529, Loss  0.873873, Average Loss  0.893106, Time  0.265580
2021-09-15 03:01:14.464300 : Epoch  1, Batch    660, Loss  0.639246, Average Loss  0.641135, Time  0.240637
2021-09-15 03:01:15.214912 : Epoch  2, Batch    753, Loss  0.606350, Average Loss  0.614117, Time  0.232632
2021-09-15 03:01:16.138017 : Epoch  1, Batch    661, Loss  0.634636, Average Loss  0.641113, Time  0.256854
2021-09-15 03:01:16.766407 : Epoch  2, Batch    754, Loss  0.614970, Average Loss  0.614120, Time  0.231209
2021-09-15 03:01:16.962218 : Epoch  1, Batch    530, Loss  0.888071, Average Loss  0.892963, Time  0.265132
2021-09-15 03:01:17.813876 : Epoch  1, Batch    662, Loss  0.640334, Average Loss  0.641077, Time  0.256390
2021-09-15 03:01:18.318842 : Epoch  2, Batch    755, Loss  0.614681, Average Loss  0.614110, Time  0.232852
2021-09-15 03:01:19.357871 : Epoch  1, Batch    663, Loss  0.633374, Average Loss  0.641040, Time  0.241367
2021-09-15 03:01:19.873801 : Epoch  2, Batch    756, Loss  0.611242, Average Loss  0.614025, Time  0.232147
2021-09-15 03:01:19.951517 : Epoch  1, Batch    531, Loss  0.871487, Average Loss  0.892732, Time  0.264791
2021-09-15 03:01:20.881437 : Epoch  1, Batch    664, Loss  0.646323, Average Loss  0.641037, Time  0.239348
2021-09-15 03:01:21.428967 : Epoch  2, Batch    757, Loss  0.614847, Average Loss  0.614003, Time  0.231616
2021-09-15 03:01:22.412973 : Epoch  1, Batch    665, Loss  0.646735, Average Loss  0.641056, Time  0.239135
2021-09-15 03:01:22.940195 : Epoch  1, Batch    532, Loss  0.887434, Average Loss  0.892697, Time  0.264718
2021-09-15 03:01:22.990052 : Epoch  2, Batch    758, Loss  0.630438, Average Loss  0.614077, Time  0.231355
2021-09-15 03:01:23.962970 : Epoch  1, Batch    666, Loss  0.645313, Average Loss  0.641083, Time  0.241801
2021-09-15 03:01:24.529483 : Epoch  2, Batch    759, Loss  0.613438, Average Loss  0.614068, Time  0.231584
2021-09-15 03:01:25.497964 : Epoch  1, Batch    667, Loss  0.641269, Average Loss  0.641073, Time  0.239457
2021-09-15 03:01:25.955104 : Epoch  1, Batch    533, Loss  0.894634, Average Loss  0.892634, Time  0.265502
2021-09-15 03:01:26.082072 : Epoch  2, Batch    760, Loss  0.617751, Average Loss  0.614098, Time  0.232358
2021-09-15 03:01:27.020971 : Epoch  1, Batch    668, Loss  0.645893, Average Loss  0.641095, Time  0.238212
2021-09-15 03:01:27.627255 : Epoch  2, Batch    761, Loss  0.608857, Average Loss  0.614066, Time  0.231309
2021-09-15 03:01:28.542325 : Epoch  1, Batch    669, Loss  0.644607, Average Loss  0.641112, Time  0.239144
2021-09-15 03:01:28.975815 : Epoch  1, Batch    534, Loss  0.902172, Average Loss  0.892656, Time  0.266063
2021-09-15 03:01:29.171582 : Epoch  2, Batch    762, Loss  0.614699, Average Loss  0.614072, Time  0.231142
2021-09-15 03:01:30.237491 : Epoch  1, Batch    670, Loss  0.640442, Average Loss  0.641109, Time  0.260386
2021-09-15 03:01:30.729784 : Epoch  2, Batch    763, Loss  0.626794, Average Loss  0.614134, Time  0.232066
2021-09-15 03:01:31.993284 : Epoch  1, Batch    535, Loss  0.886149, Average Loss  0.892607, Time  0.265322
2021-09-15 03:01:32.278843 : Epoch  2, Batch    764, Loss  0.614721, Average Loss  0.614165, Time  0.231409
2021-09-15 03:01:33.818374 : Epoch  2, Batch    765, Loss  0.611889, Average Loss  0.614104, Time  0.231666
2021-09-15 03:01:34.254278 : Epoch  1, Batch    671, Loss  0.636950, Average Loss  0.641109, Time  0.282915
2021-09-15 03:01:35.013469 : Epoch  1, Batch    536, Loss  0.888389, Average Loss  0.892466, Time  0.276016
2021-09-15 03:01:35.366848 : Epoch  2, Batch    766, Loss  0.611290, Average Loss  0.614089, Time  0.231230
2021-09-15 03:01:35.799041 : Epoch  1, Batch    672, Loss  0.641447, Average Loss  0.641115, Time  0.246251
2021-09-15 03:01:36.915666 : Epoch  2, Batch    767, Loss  0.611271, Average Loss  0.614015, Time  0.231455
2021-09-15 03:01:37.339104 : Epoch  1, Batch    673, Loss  0.636104, Average Loss  0.641083, Time  0.239958
2021-09-15 03:01:38.002506 : Epoch  1, Batch    537, Loss  0.890343, Average Loss  0.892385, Time  0.264655
2021-09-15 03:01:38.466507 : Epoch  2, Batch    768, Loss  0.621019, Average Loss  0.614010, Time  0.231672
2021-09-15 03:01:38.880355 : Epoch  1, Batch    674, Loss  0.640091, Average Loss  0.641089, Time  0.241351
2021-09-15 03:01:40.016023 : Epoch  2, Batch    769, Loss  0.615592, Average Loss  0.613975, Time  0.231966
2021-09-15 03:01:40.412509 : Epoch  1, Batch    675, Loss  0.632254, Average Loss  0.640950, Time  0.238762
2021-09-15 03:01:41.003646 : Epoch  1, Batch    538, Loss  0.865768, Average Loss  0.892207, Time  0.267669
2021-09-15 03:01:41.558216 : Epoch  2, Batch    770, Loss  0.610646, Average Loss  0.613956, Time  0.231277
2021-09-15 03:01:41.938332 : Epoch  1, Batch    676, Loss  0.642220, Average Loss  0.640936, Time  0.240220
2021-09-15 03:01:43.108671 : Epoch  2, Batch    771, Loss  0.626035, Average Loss  0.614017, Time  0.231844
2021-09-15 03:01:43.467835 : Epoch  1, Batch    677, Loss  0.639009, Average Loss  0.640917, Time  0.240420
2021-09-15 03:01:44.006114 : Epoch  1, Batch    539, Loss  0.891831, Average Loss  0.892139, Time  0.264933
2021-09-15 03:01:44.660417 : Epoch  2, Batch    772, Loss  0.606090, Average Loss  0.614031, Time  0.231272
2021-09-15 03:01:44.999314 : Epoch  1, Batch    678, Loss  0.643220, Average Loss  0.640973, Time  0.240891
2021-09-15 03:01:46.203295 : Epoch  2, Batch    773, Loss  0.612968, Average Loss  0.614004, Time  0.231133
2021-09-15 03:01:46.529964 : Epoch  1, Batch    679, Loss  0.645220, Average Loss  0.640991, Time  0.241604
2021-09-15 03:01:46.673010 : Epoch  1, Batch    680, Loss  0.693587, Average Loss  0.641256, Time  0.102627
2021-09-15 03:01:47.023707 : Epoch  1, Batch    540, Loss  0.889404, Average Loss  0.892041, Time  0.265337
2021-09-15 03:01:47.761009 : Epoch  2, Batch    774, Loss  0.616413, Average Loss  0.613968, Time  0.232150
2021-09-15 03:01:48.228402 : Epoch  1, Batch    681, Loss  0.633603, Average Loss  0.641223, Time  0.238473
2021-09-15 03:01:49.308970 : Epoch  2, Batch    775, Loss  0.614056, Average Loss  0.613977, Time  0.232288
2021-09-15 03:01:49.763891 : Epoch  1, Batch    682, Loss  0.644888, Average Loss  0.641259, Time  0.239717
2021-09-15 03:01:50.029993 : Epoch  1, Batch    541, Loss  0.897858, Average Loss  0.891898, Time  0.265026
2021-09-15 03:01:50.855234 : Epoch  2, Batch    776, Loss  0.613669, Average Loss  0.613960, Time  0.231012
2021-09-15 03:01:51.305385 : Epoch  1, Batch    683, Loss  0.644345, Average Loss  0.641274, Time  0.238273
2021-09-15 03:01:52.406348 : Epoch  2, Batch    777, Loss  0.616460, Average Loss  0.614025, Time  0.231173
2021-09-15 03:01:52.845590 : Epoch  1, Batch    684, Loss  0.643215, Average Loss  0.641288, Time  0.239785
2021-09-15 03:01:53.018070 : Epoch  1, Batch    542, Loss  0.877338, Average Loss  0.891778, Time  0.265661
2021-09-15 03:01:53.955397 : Epoch  2, Batch    778, Loss  0.626609, Average Loss  0.614116, Time  0.233504
2021-09-15 03:01:54.374959 : Epoch  1, Batch    685, Loss  0.650690, Average Loss  0.641351, Time  0.242170
2021-09-15 03:01:55.498793 : Epoch  2, Batch    779, Loss  0.620236, Average Loss  0.614108, Time  0.231558
2021-09-15 03:01:55.903052 : Epoch  1, Batch    686, Loss  0.639349, Average Loss  0.641376, Time  0.238980
2021-09-15 03:01:56.005323 : Epoch  1, Batch    543, Loss  0.888743, Average Loss  0.891623, Time  0.264916
2021-09-15 03:01:57.060380 : Epoch  2, Batch    780, Loss  0.611193, Average Loss  0.614004, Time  0.230553
2021-09-15 03:01:57.529804 : Epoch  1, Batch    687, Loss  0.642084, Average Loss  0.641381, Time  0.239648
2021-09-15 03:01:58.607141 : Epoch  2, Batch    781, Loss  0.611414, Average Loss  0.613982, Time  0.231347
2021-09-15 03:01:59.058132 : Epoch  1, Batch    544, Loss  0.899428, Average Loss  0.891533, Time  0.266643
2021-09-15 03:01:59.074578 : Epoch  1, Batch    688, Loss  0.643044, Average Loss  0.641463, Time  0.239927
2021-09-15 03:02:00.162438 : Epoch  2, Batch    782, Loss  0.618547, Average Loss  0.614020, Time  0.231693
2021-09-15 03:02:00.627018 : Epoch  1, Batch    689, Loss  0.642567, Average Loss  0.641503, Time  0.240057
2021-09-15 03:02:01.697581 : Epoch  2, Batch    783, Loss  0.613196, Average Loss  0.613956, Time  0.230874
2021-09-15 03:02:02.079838 : Epoch  1, Batch    545, Loss  0.876862, Average Loss  0.891446, Time  0.265574
2021-09-15 03:02:02.157871 : Epoch  1, Batch    690, Loss  0.632122, Average Loss  0.641460, Time  0.240180
2021-09-15 03:02:03.702142 : Epoch  1, Batch    691, Loss  0.646443, Average Loss  0.641541, Time  0.240190
2021-09-15 03:02:05.071816 : Epoch  1, Batch    546, Loss  0.899277, Average Loss  0.891442, Time  0.264760
2021-09-15 03:02:05.239034 : Epoch  1, Batch    692, Loss  0.648200, Average Loss  0.641551, Time  0.239860
2021-09-15 03:02:05.588572 : Epoch  2, Batch    784, Loss  0.607333, Average Loss  0.613908, Time  0.270854
2021-09-15 03:02:06.915429 : Epoch  1, Batch    693, Loss  0.641185, Average Loss  0.641569, Time  0.256220
2021-09-15 03:02:07.134812 : Epoch  2, Batch    785, Loss  0.622111, Average Loss  0.613968, Time  0.249068
2021-09-15 03:02:08.079527 : Epoch  1, Batch    547, Loss  0.905784, Average Loss  0.891507, Time  0.265589
2021-09-15 03:02:08.599353 : Epoch  1, Batch    694, Loss  0.644813, Average Loss  0.641535, Time  0.259430
2021-09-15 03:02:08.671549 : Epoch  2, Batch    786, Loss  0.620027, Average Loss  0.614041, Time  0.231006
2021-09-15 03:02:10.215539 : Epoch  2, Batch    787, Loss  0.615101, Average Loss  0.613991, Time  0.231167
2021-09-15 03:02:10.252607 : Saving Model after 2-th Epoch.
2021-09-15 03:02:10.311484 : Epoch  1, Batch    695, Loss  0.634015, Average Loss  0.641471, Time  0.261638
2021-09-15 03:02:11.081720 : Epoch  1, Batch    548, Loss  0.889894, Average Loss  0.891461, Time  0.265832
2021-09-15 03:02:11.169831 : Epoch Finished.
2021-09-15 03:02:11.976822 : Epoch  1, Batch    696, Loss  0.639172, Average Loss  0.641420, Time  0.239910
2021-09-15 03:02:13.447913 : Batch Shuffled
2021-09-15 03:02:13.507882 : Epoch  1, Batch    697, Loss  0.643470, Average Loss  0.641445, Time  0.238253
2021-09-15 03:02:14.118320 : Epoch  1, Batch    549, Loss  0.887334, Average Loss  0.891319, Time  0.265817
2021-09-15 03:02:14.996889 : Epoch  3, Batch      1, Loss  0.606000, Average Loss  0.613862, Time  0.231400
2021-09-15 03:02:15.039416 : Epoch  1, Batch    698, Loss  0.645044, Average Loss  0.641421, Time  0.238728
2021-09-15 03:02:16.530329 : Epoch  3, Batch      2, Loss  0.604516, Average Loss  0.613873, Time  0.231393
2021-09-15 03:02:16.586126 : Epoch  1, Batch    699, Loss  0.643637, Average Loss  0.641485, Time  0.240489
2021-09-15 03:02:17.125570 : Epoch  1, Batch    550, Loss  0.911883, Average Loss  0.891359, Time  0.264424
2021-09-15 03:02:18.071620 : Epoch  3, Batch      3, Loss  0.614022, Average Loss  0.613866, Time  0.231240
2021-09-15 03:02:18.116838 : Epoch  1, Batch    700, Loss  0.643504, Average Loss  0.641459, Time  0.241779
2021-09-15 03:02:19.607029 : Epoch  3, Batch      4, Loss  0.613888, Average Loss  0.613865, Time  0.231326
2021-09-15 03:02:20.131506 : Epoch  1, Batch    551, Loss  0.897367, Average Loss  0.891324, Time  0.278060
2021-09-15 03:02:21.152088 : Epoch  3, Batch      5, Loss  0.617352, Average Loss  0.613915, Time  0.231808
2021-09-15 03:02:22.703435 : Epoch  3, Batch      6, Loss  0.612229, Average Loss  0.613952, Time  0.233708
2021-09-15 03:02:23.151372 : Epoch  1, Batch    552, Loss  0.896366, Average Loss  0.891267, Time  0.265095
2021-09-15 03:02:24.259793 : Epoch  3, Batch      7, Loss  0.619664, Average Loss  0.613986, Time  0.231267
2021-09-15 03:02:25.811669 : Epoch  3, Batch      8, Loss  0.601325, Average Loss  0.613954, Time  0.232023
2021-09-15 03:02:26.173742 : Epoch  1, Batch    553, Loss  0.874445, Average Loss  0.891176, Time  0.264286
2021-09-15 03:02:27.358511 : Epoch  3, Batch      9, Loss  0.609918, Average Loss  0.613976, Time  0.231144
2021-09-15 03:02:28.903265 : Epoch  3, Batch     10, Loss  0.609033, Average Loss  0.613948, Time  0.232291
2021-09-15 03:02:29.161354 : Epoch  1, Batch    554, Loss  0.876166, Average Loss  0.891183, Time  0.264816
2021-09-15 03:02:30.447460 : Epoch  3, Batch     11, Loss  0.620418, Average Loss  0.613997, Time  0.231855
2021-09-15 03:02:31.981448 : Epoch  3, Batch     12, Loss  0.611326, Average Loss  0.613987, Time  0.231310
2021-09-15 03:02:32.162154 : Epoch  1, Batch    555, Loss  0.892086, Average Loss  0.891255, Time  0.264976
2021-09-15 03:02:33.522885 : Epoch  3, Batch     13, Loss  0.611465, Average Loss  0.613974, Time  0.231390
2021-09-15 03:02:35.062090 : Epoch  3, Batch     14, Loss  0.618913, Average Loss  0.614005, Time  0.233337
2021-09-15 03:02:35.154772 : Epoch  1, Batch    556, Loss  0.872723, Average Loss  0.890987, Time  0.264715
2021-09-15 03:02:36.604980 : Epoch  3, Batch     15, Loss  0.607508, Average Loss  0.613988, Time  0.232079
2021-09-15 03:02:38.141404 : Epoch  1, Batch    557, Loss  0.888459, Average Loss  0.890980, Time  0.264746
2021-09-15 03:02:38.150332 : Epoch  3, Batch     16, Loss  0.625593, Average Loss  0.614068, Time  0.230970
2021-09-15 03:02:39.707850 : Epoch  3, Batch     17, Loss  0.614556, Average Loss  0.614074, Time  0.231160
2021-09-15 03:02:41.167471 : Epoch  1, Batch    558, Loss  0.895362, Average Loss  0.890954, Time  0.266666
2021-09-15 03:02:41.250341 : Epoch  3, Batch     18, Loss  0.606183, Average Loss  0.614071, Time  0.231087
2021-09-15 03:02:42.792390 : Epoch  3, Batch     19, Loss  0.629936, Average Loss  0.614132, Time  0.231038
2021-09-15 03:02:44.173751 : Epoch  1, Batch    559, Loss  0.908953, Average Loss  0.890979, Time  0.264873
2021-09-15 03:02:44.332198 : Epoch  3, Batch     20, Loss  0.611078, Average Loss  0.614186, Time  0.231371
2021-09-15 03:02:45.876253 : Epoch  3, Batch     21, Loss  0.618158, Average Loss  0.614204, Time  0.231535
2021-09-15 03:02:47.162964 : Epoch  1, Batch    560, Loss  0.902031, Average Loss  0.890926, Time  0.265431
2021-09-15 03:02:47.427816 : Epoch  3, Batch     22, Loss  0.614256, Average Loss  0.614145, Time  0.234210
2021-09-15 03:02:48.964078 : Epoch  3, Batch     23, Loss  0.618346, Average Loss  0.614160, Time  0.231200
2021-09-15 03:02:50.152473 : Epoch  1, Batch    561, Loss  0.887137, Average Loss  0.890816, Time  0.265253
2021-09-15 03:02:50.524572 : Epoch  3, Batch     24, Loss  0.612446, Average Loss  0.614128, Time  0.231002
2021-09-15 03:02:52.060191 : Epoch  3, Batch     25, Loss  0.616450, Average Loss  0.614103, Time  0.231816
2021-09-15 03:02:53.144655 : Epoch  1, Batch    562, Loss  0.877172, Average Loss  0.890773, Time  0.265894
2021-09-15 03:02:53.588512 : Epoch  3, Batch     26, Loss  0.614192, Average Loss  0.614121, Time  0.230858
2021-09-15 03:02:56.142831 : Epoch  1, Batch    563, Loss  0.869227, Average Loss  0.890522, Time  0.264614
2021-09-15 03:02:59.146071 : Epoch  1, Batch    564, Loss  0.874066, Average Loss  0.890327, Time  0.265873
2021-09-15 03:03:02.160134 : Epoch  1, Batch    565, Loss  0.911782, Average Loss  0.890406, Time  0.265962
2021-09-15 03:03:05.210924 : Epoch  1, Batch    566, Loss  0.881639, Average Loss  0.890349, Time  0.280593
2021-09-15 03:03:08.233693 : Epoch  1, Batch    567, Loss  0.883817, Average Loss  0.890326, Time  0.264480
2021-09-15 03:03:11.267512 : Epoch  1, Batch    568, Loss  0.897463, Average Loss  0.890224, Time  0.265459
2021-09-15 03:03:14.288100 : Epoch  1, Batch    569, Loss  0.888174, Average Loss  0.890089, Time  0.265676
2021-09-15 03:03:14.782700 : CheckPoint: Validation Loss  0.00026828, Best Loss  0.00026191
2021-09-15 03:03:16.308604 : Epoch  1, Batch    701, Loss  0.628766, Average Loss  0.641354, Time  0.239505
2021-09-15 03:03:17.317047 : Epoch  1, Batch    570, Loss  0.870300, Average Loss  0.889987, Time  0.265710
2021-09-15 03:03:17.824235 : Epoch  1, Batch    702, Loss  0.637693, Average Loss  0.641304, Time  0.239417
2021-09-15 03:03:19.342249 : Epoch  1, Batch    703, Loss  0.645209, Average Loss  0.641323, Time  0.237726
2021-09-15 03:03:20.299632 : Epoch  1, Batch    571, Loss  0.880225, Average Loss  0.889981, Time  0.265573
2021-09-15 03:03:21.031124 : Epoch  1, Batch    704, Loss  0.652159, Average Loss  0.641365, Time  0.258795
2021-09-15 03:03:22.706016 : Epoch  1, Batch    705, Loss  0.643229, Average Loss  0.641426, Time  0.256315
2021-09-15 03:03:23.265365 : Epoch  1, Batch    572, Loss  0.875866, Average Loss  0.889865, Time  0.264624
2021-09-15 03:03:24.242823 : Epoch  1, Batch    706, Loss  0.645061, Average Loss  0.641463, Time  0.240050
2021-09-15 03:03:25.764812 : Epoch  1, Batch    707, Loss  0.643164, Average Loss  0.641469, Time  0.241543
2021-09-15 03:03:26.258891 : Epoch  1, Batch    573, Loss  0.891689, Average Loss  0.889828, Time  0.264619
2021-09-15 03:03:27.292908 : Epoch  1, Batch    708, Loss  0.644327, Average Loss  0.641448, Time  0.242573
2021-09-15 03:03:28.812349 : Epoch  1, Batch    709, Loss  0.637838, Average Loss  0.641460, Time  0.239932
2021-09-15 03:03:29.240967 : Epoch  1, Batch    574, Loss  0.892881, Average Loss  0.889784, Time  0.265183
2021-09-15 03:03:30.321363 : Epoch  1, Batch    710, Loss  0.633315, Average Loss  0.641399, Time  0.240044
2021-09-15 03:03:31.862983 : Epoch  1, Batch    711, Loss  0.647575, Average Loss  0.641415, Time  0.239278
2021-09-15 03:03:32.233307 : Epoch  1, Batch    575, Loss  0.862273, Average Loss  0.889605, Time  0.263967
2021-09-15 03:03:33.393817 : Epoch  1, Batch    712, Loss  0.642503, Average Loss  0.641342, Time  0.237940
2021-09-15 03:03:34.907803 : Epoch  1, Batch    713, Loss  0.643985, Average Loss  0.641356, Time  0.238361
2021-09-15 03:03:35.217980 : Epoch  1, Batch    576, Loss  0.898169, Average Loss  0.889666, Time  0.264596
2021-09-15 03:03:36.430388 : Epoch  1, Batch    714, Loss  0.642386, Average Loss  0.641341, Time  0.240748
2021-09-15 03:03:37.964400 : Epoch  1, Batch    715, Loss  0.650299, Average Loss  0.641348, Time  0.241549
2021-09-15 03:03:38.209943 : Epoch  1, Batch    577, Loss  0.907521, Average Loss  0.889773, Time  0.265588
2021-09-15 03:03:39.487611 : Epoch  1, Batch    716, Loss  0.631403, Average Loss  0.641253, Time  0.238579
2021-09-15 03:03:41.012380 : Epoch  1, Batch    717, Loss  0.643982, Average Loss  0.641270, Time  0.237404
2021-09-15 03:03:41.206284 : Epoch  1, Batch    578, Loss  0.896468, Average Loss  0.889804, Time  0.266344
2021-09-15 03:03:42.537364 : Epoch  1, Batch    718, Loss  0.636752, Average Loss  0.641229, Time  0.239233
2021-09-15 03:03:44.064128 : Epoch  1, Batch    719, Loss  0.634357, Average Loss  0.641160, Time  0.240240
2021-09-15 03:03:44.216231 : Epoch  1, Batch    579, Loss  0.909179, Average Loss  0.889848, Time  0.265249
2021-09-15 03:03:45.578394 : Epoch  1, Batch    720, Loss  0.643688, Average Loss  0.641120, Time  0.239250
2021-09-15 03:03:47.230916 : Epoch  1, Batch    580, Loss  0.884356, Average Loss  0.889771, Time  0.266384
2021-09-15 03:03:47.251783 : Epoch  1, Batch    721, Loss  0.647896, Average Loss  0.641132, Time  0.260118
2021-09-15 03:03:48.957088 : Epoch  1, Batch    722, Loss  0.652171, Average Loss  0.641190, Time  0.261760
2021-09-15 03:03:50.245365 : Epoch  1, Batch    581, Loss  0.868705, Average Loss  0.889669, Time  0.276595
2021-09-15 03:03:50.647040 : Epoch  1, Batch    723, Loss  0.634429, Average Loss  0.641148, Time  0.257685
2021-09-15 03:03:51.568725 : CheckPoint: Validation Loss  0.00025717, Best Loss  0.00025290
2021-09-15 03:03:52.178475 : Epoch  1, Batch    724, Loss  0.639691, Average Loss  0.641107, Time  0.239198
2021-09-15 03:03:53.122139 : Epoch  3, Batch     27, Loss  0.602020, Average Loss  0.614073, Time  0.231688
2021-09-15 03:03:53.260219 : Epoch  1, Batch    582, Loss  0.886248, Average Loss  0.889554, Time  0.265404
2021-09-15 03:03:53.699033 : Epoch  1, Batch    725, Loss  0.629003, Average Loss  0.641051, Time  0.239402
2021-09-15 03:03:54.658227 : Epoch  3, Batch     28, Loss  0.612488, Average Loss  0.614092, Time  0.231445
2021-09-15 03:03:55.220423 : Epoch  1, Batch    726, Loss  0.637817, Average Loss  0.641042, Time  0.239377
2021-09-15 03:03:56.195348 : Epoch  3, Batch     29, Loss  0.605074, Average Loss  0.613983, Time  0.232027
2021-09-15 03:03:56.246716 : Epoch  1, Batch    583, Loss  0.903304, Average Loss  0.889581, Time  0.264894
2021-09-15 03:03:56.751769 : Epoch  1, Batch    727, Loss  0.638212, Average Loss  0.641073, Time  0.240564
2021-09-15 03:03:57.742314 : Epoch  3, Batch     30, Loss  0.605813, Average Loss  0.613924, Time  0.231583
2021-09-15 03:03:58.286006 : Epoch  1, Batch    728, Loss  0.632646, Average Loss  0.641028, Time  0.242853
2021-09-15 03:03:59.233193 : Epoch  1, Batch    584, Loss  0.884881, Average Loss  0.889516, Time  0.264504
2021-09-15 03:03:59.287878 : Epoch  3, Batch     31, Loss  0.614766, Average Loss  0.613998, Time  0.231484
2021-09-15 03:03:59.821669 : Epoch  1, Batch    729, Loss  0.644937, Average Loss  0.641079, Time  0.238927
2021-09-15 03:04:00.835868 : Epoch  3, Batch     32, Loss  0.623417, Average Loss  0.614027, Time  0.231294
2021-09-15 03:04:01.367956 : Epoch  1, Batch    730, Loss  0.640973, Average Loss  0.641083, Time  0.241762
2021-09-15 03:04:02.215537 : Epoch  1, Batch    585, Loss  0.864888, Average Loss  0.889409, Time  0.265328
2021-09-15 03:04:02.394369 : Epoch  3, Batch     33, Loss  0.620728, Average Loss  0.614044, Time  0.231194
2021-09-15 03:04:02.895968 : Epoch  1, Batch    731, Loss  0.641547, Average Loss  0.641053, Time  0.239896
2021-09-15 03:04:03.926864 : Epoch  3, Batch     34, Loss  0.607586, Average Loss  0.614025, Time  0.231550
2021-09-15 03:04:04.411018 : Epoch  1, Batch    732, Loss  0.637930, Average Loss  0.641039, Time  0.240312
2021-09-15 03:04:05.197214 : Epoch  1, Batch    586, Loss  0.878499, Average Loss  0.889300, Time  0.265243
2021-09-15 03:04:05.464185 : Epoch  3, Batch     35, Loss  0.615504, Average Loss  0.613989, Time  0.231237
2021-09-15 03:04:05.946891 : Epoch  1, Batch    733, Loss  0.622655, Average Loss  0.640951, Time  0.243977
2021-09-15 03:04:07.004896 : Epoch  3, Batch     36, Loss  0.601561, Average Loss  0.613938, Time  0.231877
2021-09-15 03:04:07.468415 : Epoch  1, Batch    734, Loss  0.642817, Average Loss  0.640981, Time  0.239590
2021-09-15 03:04:08.183037 : Epoch  1, Batch    587, Loss  0.881170, Average Loss  0.889332, Time  0.264836
2021-09-15 03:04:08.544629 : Epoch  3, Batch     37, Loss  0.611054, Average Loss  0.613862, Time  0.231179
2021-09-15 03:04:08.981367 : Epoch  1, Batch    735, Loss  0.642999, Average Loss  0.641004, Time  0.240717
2021-09-15 03:04:10.085892 : Epoch  3, Batch     38, Loss  0.616535, Average Loss  0.613877, Time  0.231447
2021-09-15 03:04:10.491702 : Epoch  1, Batch    736, Loss  0.647700, Average Loss  0.641025, Time  0.239120
2021-09-15 03:04:11.200333 : Epoch  1, Batch    588, Loss  0.891225, Average Loss  0.889407, Time  0.265130
2021-09-15 03:04:11.643630 : Epoch  3, Batch     39, Loss  0.629397, Average Loss  0.613973, Time  0.230853
2021-09-15 03:04:12.082009 : Epoch  1, Batch    737, Loss  0.635640, Average Loss  0.641000, Time  0.243279
2021-09-15 03:04:13.182882 : Epoch  3, Batch     40, Loss  0.600526, Average Loss  0.613880, Time  0.231993
2021-09-15 03:04:13.608038 : Epoch  1, Batch    738, Loss  0.636666, Average Loss  0.640974, Time  0.241652
2021-09-15 03:04:14.193714 : Epoch  1, Batch    589, Loss  0.892708, Average Loss  0.889477, Time  0.265598
2021-09-15 03:04:14.741880 : Epoch  3, Batch     41, Loss  0.612770, Average Loss  0.613881, Time  0.231708
2021-09-15 03:04:15.152844 : Epoch  1, Batch    739, Loss  0.641382, Average Loss  0.640975, Time  0.241552
2021-09-15 03:04:16.296076 : Epoch  3, Batch     42, Loss  0.607747, Average Loss  0.613865, Time  0.232399
2021-09-15 03:04:16.668940 : Epoch  1, Batch    740, Loss  0.643694, Average Loss  0.641007, Time  0.243121
2021-09-15 03:04:17.229215 : Epoch  1, Batch    590, Loss  0.865340, Average Loss  0.889336, Time  0.266945
2021-09-15 03:04:17.831970 : Epoch  3, Batch     43, Loss  0.617278, Average Loss  0.613957, Time  0.232150
2021-09-15 03:04:18.335949 : Epoch  1, Batch    741, Loss  0.641578, Average Loss  0.640988, Time  0.258153
2021-09-15 03:04:19.389985 : Epoch  3, Batch     44, Loss  0.625094, Average Loss  0.614007, Time  0.248653
2021-09-15 03:04:20.015102 : Epoch  1, Batch    742, Loss  0.643284, Average Loss  0.641015, Time  0.259242
2021-09-15 03:04:20.262176 : Epoch  1, Batch    591, Loss  0.878743, Average Loss  0.889272, Time  0.264447
2021-09-15 03:04:20.942271 : Epoch  3, Batch     45, Loss  0.610564, Average Loss  0.613946, Time  0.231169
2021-09-15 03:04:21.697042 : Epoch  1, Batch    743, Loss  0.650003, Average Loss  0.641012, Time  0.261109
2021-09-15 03:04:22.493109 : Epoch  3, Batch     46, Loss  0.619414, Average Loss  0.613930, Time  0.231521
2021-09-15 03:04:23.249467 : Epoch  1, Batch    592, Loss  0.869871, Average Loss  0.889060, Time  0.265608
2021-09-15 03:04:23.257499 : Epoch  1, Batch    744, Loss  0.646673, Average Loss  0.641066, Time  0.240597
2021-09-15 03:04:24.027779 : Epoch  3, Batch     47, Loss  0.611327, Average Loss  0.613918, Time  0.230987
2021-09-15 03:04:24.799850 : Epoch  1, Batch    745, Loss  0.644219, Average Loss  0.641071, Time  0.241257
2021-09-15 03:04:25.561153 : Epoch  3, Batch     48, Loss  0.625883, Average Loss  0.614002, Time  0.230831
2021-09-15 03:04:26.230700 : Epoch  1, Batch    593, Loss  0.897363, Average Loss  0.889138, Time  0.265445
2021-09-15 03:04:26.337437 : Epoch  1, Batch    746, Loss  0.645802, Average Loss  0.641125, Time  0.241335
2021-09-15 03:04:27.098979 : Epoch  3, Batch     49, Loss  0.613360, Average Loss  0.614045, Time  0.232050
2021-09-15 03:04:27.850827 : Epoch  1, Batch    747, Loss  0.643518, Average Loss  0.641146, Time  0.238626
2021-09-15 03:04:28.672170 : Epoch  3, Batch     50, Loss  0.618638, Average Loss  0.614090, Time  0.231995
2021-09-15 03:04:29.245912 : Epoch  1, Batch    594, Loss  0.892205, Average Loss  0.889170, Time  0.265738
2021-09-15 03:04:29.393161 : Epoch  1, Batch    748, Loss  0.644078, Average Loss  0.641213, Time  0.242123
2021-09-15 03:04:30.205666 : Epoch  3, Batch     51, Loss  0.610933, Average Loss  0.614019, Time  0.231337
2021-09-15 03:04:30.904815 : Epoch  1, Batch    749, Loss  0.630807, Average Loss  0.641148, Time  0.241260
2021-09-15 03:04:31.759188 : Epoch  3, Batch     52, Loss  0.607993, Average Loss  0.613944, Time  0.231064
2021-09-15 03:04:32.250695 : Epoch  1, Batch    595, Loss  0.874432, Average Loss  0.888896, Time  0.264196
2021-09-15 03:04:32.441956 : Epoch  1, Batch    750, Loss  0.634451, Average Loss  0.641123, Time  0.241538
2021-09-15 03:04:33.284412 : Epoch  3, Batch     53, Loss  0.603748, Average Loss  0.613845, Time  0.231666
2021-09-15 03:04:33.967944 : Epoch  1, Batch    751, Loss  0.647922, Average Loss  0.641109, Time  0.239869
2021-09-15 03:04:34.814349 : Epoch  3, Batch     54, Loss  0.608380, Average Loss  0.613775, Time  0.231082
2021-09-15 03:04:35.229695 : Epoch  1, Batch    596, Loss  0.888994, Average Loss  0.888907, Time  0.273459
2021-09-15 03:04:35.484040 : Epoch  1, Batch    752, Loss  0.644947, Average Loss  0.641160, Time  0.236656
2021-09-15 03:04:36.349956 : Epoch  3, Batch     55, Loss  0.617083, Average Loss  0.613858, Time  0.231026
2021-09-15 03:04:37.025905 : Epoch  1, Batch    753, Loss  0.643237, Average Loss  0.641082, Time  0.242085
2021-09-15 03:04:37.887352 : Epoch  3, Batch     56, Loss  0.604590, Average Loss  0.613821, Time  0.230931
2021-09-15 03:04:38.204676 : Epoch  1, Batch    597, Loss  0.876498, Average Loss  0.888785, Time  0.266466
2021-09-15 03:04:38.570413 : Epoch  1, Batch    754, Loss  0.637991, Average Loss  0.641053, Time  0.241566
2021-09-15 03:04:39.429890 : Epoch  3, Batch     57, Loss  0.604413, Average Loss  0.613774, Time  0.232839
2021-09-15 03:04:40.111982 : Epoch  1, Batch    755, Loss  0.641073, Average Loss  0.641059, Time  0.241742
2021-09-15 03:04:40.961745 : Epoch  3, Batch     58, Loss  0.620970, Average Loss  0.613814, Time  0.230170
2021-09-15 03:04:41.258890 : Epoch  1, Batch    598, Loss  0.893014, Average Loss  0.888814, Time  0.263077
2021-09-15 03:04:41.644442 : Epoch  1, Batch    756, Loss  0.640111, Average Loss  0.641103, Time  0.239587
2021-09-15 03:04:42.492411 : Epoch  3, Batch     59, Loss  0.615461, Average Loss  0.613845, Time  0.231647
2021-09-15 03:04:43.162869 : Epoch  1, Batch    757, Loss  0.631047, Average Loss  0.641095, Time  0.239962
2021-09-15 03:04:44.030301 : Epoch  3, Batch     60, Loss  0.617173, Average Loss  0.613905, Time  0.230908
2021-09-15 03:04:44.235266 : Epoch  1, Batch    599, Loss  0.872451, Average Loss  0.888762, Time  0.266338
2021-09-15 03:04:44.705411 : Epoch  1, Batch    758, Loss  0.638811, Average Loss  0.641057, Time  0.241669
2021-09-15 03:04:45.568582 : Epoch  3, Batch     61, Loss  0.611586, Average Loss  0.613892, Time  0.231305
2021-09-15 03:04:46.219342 : Epoch  1, Batch    759, Loss  0.636541, Average Loss  0.641069, Time  0.240099
2021-09-15 03:04:47.115293 : Epoch  3, Batch     62, Loss  0.620012, Average Loss  0.613903, Time  0.230997
2021-09-15 03:04:47.194832 : Epoch  1, Batch    600, Loss  0.883886, Average Loss  0.888648, Time  0.264986
2021-09-15 03:04:47.768491 : Epoch  1, Batch    760, Loss  0.637676, Average Loss  0.641027, Time  0.242022
2021-09-15 03:04:48.658014 : Epoch  3, Batch     63, Loss  0.614018, Average Loss  0.613935, Time  0.230124
2021-09-15 03:04:49.312090 : Epoch  1, Batch    761, Loss  0.648963, Average Loss  0.641012, Time  0.243526
2021-09-15 03:04:50.197029 : Epoch  3, Batch     64, Loss  0.625351, Average Loss  0.614008, Time  0.230870
2021-09-15 03:04:50.853380 : Epoch  1, Batch    762, Loss  0.653233, Average Loss  0.641089, Time  0.241607
2021-09-15 03:04:51.745505 : Epoch  3, Batch     65, Loss  0.608083, Average Loss  0.613970, Time  0.231068
2021-09-15 03:04:52.383876 : Epoch  1, Batch    763, Loss  0.636849, Average Loss  0.641035, Time  0.241888
2021-09-15 03:04:53.311904 : Epoch  3, Batch     66, Loss  0.611268, Average Loss  0.613996, Time  0.232267
2021-09-15 03:04:53.902960 : Epoch  1, Batch    764, Loss  0.636225, Average Loss  0.641018, Time  0.239387
2021-09-15 03:04:54.855116 : Epoch  3, Batch     67, Loss  0.614281, Average Loss  0.614012, Time  0.231182
2021-09-15 03:04:55.439890 : Epoch  1, Batch    765, Loss  0.642310, Average Loss  0.641023, Time  0.242222
2021-09-15 03:04:56.407495 : Epoch  3, Batch     68, Loss  0.609205, Average Loss  0.613939, Time  0.248461
2021-09-15 03:04:56.974367 : Epoch  1, Batch    766, Loss  0.631218, Average Loss  0.640991, Time  0.239470
2021-09-15 03:04:57.956168 : Epoch  3, Batch     69, Loss  0.615002, Average Loss  0.613967, Time  0.230796
2021-09-15 03:04:58.510431 : Epoch  1, Batch    767, Loss  0.644816, Average Loss  0.641005, Time  0.240514
2021-09-15 03:04:59.515455 : Epoch  3, Batch     70, Loss  0.611318, Average Loss  0.613961, Time  0.230876
2021-09-15 03:05:00.036011 : Epoch  1, Batch    768, Loss  0.649532, Average Loss  0.641056, Time  0.239887
2021-09-15 03:05:01.059557 : Epoch  3, Batch     71, Loss  0.613845, Average Loss  0.613956, Time  0.231286
2021-09-15 03:05:01.549798 : Epoch  1, Batch    769, Loss  0.636218, Average Loss  0.640989, Time  0.240726
2021-09-15 03:05:02.605387 : Epoch  3, Batch     72, Loss  0.616048, Average Loss  0.613980, Time  0.231353
2021-09-15 03:05:03.067400 : Epoch  1, Batch    770, Loss  0.651723, Average Loss  0.641049, Time  0.241056
2021-09-15 03:05:04.155252 : Epoch  3, Batch     73, Loss  0.611607, Average Loss  0.613936, Time  0.231306
2021-09-15 03:05:05.707398 : Epoch  3, Batch     74, Loss  0.610913, Average Loss  0.613910, Time  0.231169
2021-09-15 03:05:06.904812 : Epoch  1, Batch    771, Loss  0.641408, Average Loss  0.641076, Time  0.278021
2021-09-15 03:05:07.264818 : Epoch  3, Batch     75, Loss  0.602797, Average Loss  0.613897, Time  0.232709
2021-09-15 03:05:08.451974 : Epoch  1, Batch    772, Loss  0.633824, Average Loss  0.641085, Time  0.256819
2021-09-15 03:05:08.818603 : Epoch  3, Batch     76, Loss  0.608795, Average Loss  0.613891, Time  0.230970
2021-09-15 03:05:10.164179 : Epoch  1, Batch    773, Loss  0.644734, Average Loss  0.641137, Time  0.262359
2021-09-15 03:05:10.354634 : Epoch  3, Batch     77, Loss  0.613910, Average Loss  0.613918, Time  0.231809
2021-09-15 03:05:11.697088 : Epoch  1, Batch    774, Loss  0.649099, Average Loss  0.641143, Time  0.238722
2021-09-15 03:05:11.896613 : Epoch  3, Batch     78, Loss  0.610235, Average Loss  0.613907, Time  0.236988
2021-09-15 03:05:13.224994 : Epoch  1, Batch    775, Loss  0.630836, Average Loss  0.641066, Time  0.238345
2021-09-15 03:05:13.438401 : Epoch  3, Batch     79, Loss  0.621065, Average Loss  0.613960, Time  0.233417
2021-09-15 03:05:14.769443 : Epoch  1, Batch    776, Loss  0.646416, Average Loss  0.641063, Time  0.242953
2021-09-15 03:05:14.980306 : Epoch  3, Batch     80, Loss  0.604182, Average Loss  0.613904, Time  0.230423
2021-09-15 03:05:16.303872 : Epoch  1, Batch    777, Loss  0.641072, Average Loss  0.641048, Time  0.239976
2021-09-15 03:05:16.510333 : Epoch  3, Batch     81, Loss  0.614439, Average Loss  0.613896, Time  0.231915
2021-09-15 03:05:17.836292 : Epoch  1, Batch    778, Loss  0.642709, Average Loss  0.641102, Time  0.240707
2021-09-15 03:05:18.042268 : Epoch  3, Batch     82, Loss  0.623980, Average Loss  0.613880, Time  0.231594
2021-09-15 03:05:19.377780 : Epoch  1, Batch    779, Loss  0.644242, Average Loss  0.641056, Time  0.242310
2021-09-15 03:05:19.650977 : Epoch  3, Batch     83, Loss  0.615188, Average Loss  0.613934, Time  0.231387
2021-09-15 03:05:20.974956 : Epoch  1, Batch    780, Loss  0.651045, Average Loss  0.641082, Time  0.242241
2021-09-15 03:05:21.194053 : Epoch  3, Batch     84, Loss  0.613122, Average Loss  0.613921, Time  0.231969
2021-09-15 03:05:22.507765 : Epoch  1, Batch    781, Loss  0.653009, Average Loss  0.641168, Time  0.241068
2021-09-15 03:05:22.730967 : Epoch  3, Batch     85, Loss  0.615569, Average Loss  0.613917, Time  0.231473
2021-09-15 03:05:24.034344 : Epoch  1, Batch    782, Loss  0.650702, Average Loss  0.641189, Time  0.239290
2021-09-15 03:05:24.258557 : Epoch  3, Batch     86, Loss  0.622389, Average Loss  0.613986, Time  0.231607
2021-09-15 03:05:25.562825 : Epoch  1, Batch    783, Loss  0.636665, Average Loss  0.641180, Time  0.240577
2021-09-15 03:05:25.792223 : Epoch  3, Batch     87, Loss  0.618257, Average Loss  0.614014, Time  0.231837
2021-09-15 03:05:27.103889 : Epoch  1, Batch    784, Loss  0.636803, Average Loss  0.641179, Time  0.241029
2021-09-15 03:05:27.321409 : Epoch  3, Batch     88, Loss  0.609311, Average Loss  0.613998, Time  0.231451
2021-09-15 03:05:28.632994 : Epoch  1, Batch    785, Loss  0.644660, Average Loss  0.641214, Time  0.238103
2021-09-15 03:05:28.851544 : Epoch  3, Batch     89, Loss  0.610217, Average Loss  0.613947, Time  0.231164
2021-09-15 03:05:30.158400 : Epoch  1, Batch    786, Loss  0.650938, Average Loss  0.641279, Time  0.239055
2021-09-15 03:05:30.379353 : Epoch  3, Batch     90, Loss  0.610572, Average Loss  0.613941, Time  0.231715
2021-09-15 03:05:31.702849 : Epoch  1, Batch    787, Loss  0.642366, Average Loss  0.641345, Time  0.242249
2021-09-15 03:05:31.744561 : Saving Model after 1-th Epoch.
2021-09-15 03:05:31.964024 : Epoch  3, Batch     91, Loss  0.617527, Average Loss  0.613945, Time  0.231769
2021-09-15 03:05:32.533613 : Epoch Finished.
2021-09-15 03:05:33.536201 : Epoch  3, Batch     92, Loss  0.606227, Average Loss  0.613881, Time  0.231372
2021-09-15 03:05:34.993734 : Batch Shuffled
2021-09-15 03:05:35.076732 : Epoch  3, Batch     93, Loss  0.607085, Average Loss  0.613855, Time  0.231365
2021-09-15 03:05:36.543027 : Epoch  2, Batch      1, Loss  0.640249, Average Loss  0.641337, Time  0.239315
2021-09-15 03:05:36.607652 : Epoch  3, Batch     94, Loss  0.619294, Average Loss  0.613928, Time  0.231561
2021-09-15 03:05:38.065847 : Epoch  2, Batch      2, Loss  0.646327, Average Loss  0.641362, Time  0.240734
2021-09-15 03:05:38.149401 : Epoch  3, Batch     95, Loss  0.626471, Average Loss  0.614021, Time  0.231879
2021-09-15 03:05:39.584091 : Epoch  2, Batch      3, Loss  0.640713, Average Loss  0.641358, Time  0.240779
2021-09-15 03:05:39.685540 : Epoch  3, Batch     96, Loss  0.608644, Average Loss  0.614005, Time  0.231083
2021-09-15 03:05:41.101169 : Epoch  2, Batch      4, Loss  0.640862, Average Loss  0.641319, Time  0.239469
2021-09-15 03:05:42.616773 : Epoch  2, Batch      5, Loss  0.639453, Average Loss  0.641313, Time  0.238961
2021-09-15 03:05:43.630941 : Epoch  3, Batch     97, Loss  0.607217, Average Loss  0.613932, Time  0.265590
2021-09-15 03:05:44.268431 : Epoch  2, Batch      6, Loss  0.642163, Average Loss  0.641310, Time  0.239333
2021-09-15 03:05:45.186598 : Epoch  3, Batch     98, Loss  0.618444, Average Loss  0.613980, Time  0.242653
2021-09-15 03:05:45.800083 : Epoch  2, Batch      7, Loss  0.643928, Average Loss  0.641357, Time  0.239555
2021-09-15 03:05:46.734821 : Epoch  3, Batch     99, Loss  0.618099, Average Loss  0.614032, Time  0.231424
2021-09-15 03:05:47.331409 : Epoch  2, Batch      8, Loss  0.641731, Average Loss  0.641347, Time  0.239610
2021-09-15 03:05:48.275896 : Epoch  3, Batch    100, Loss  0.615942, Average Loss  0.613940, Time  0.231559
2021-09-15 03:05:48.908849 : Epoch  2, Batch      9, Loss  0.635568, Average Loss  0.641341, Time  0.238806
2021-09-15 03:05:49.814915 : Epoch  3, Batch    101, Loss  0.613799, Average Loss  0.613917, Time  0.231355
2021-09-15 03:05:50.438936 : Epoch  2, Batch     10, Loss  0.641685, Average Loss  0.641361, Time  0.238983
2021-09-15 03:05:51.356973 : Epoch  3, Batch    102, Loss  0.621629, Average Loss  0.613953, Time  0.231716
2021-09-15 03:05:51.952785 : Epoch  2, Batch     11, Loss  0.636627, Average Loss  0.641328, Time  0.241046
2021-09-15 03:05:52.898647 : Epoch  3, Batch    103, Loss  0.626641, Average Loss  0.614026, Time  0.230911
2021-09-15 03:05:53.469896 : Epoch  2, Batch     12, Loss  0.639951, Average Loss  0.641350, Time  0.240120
2021-09-15 03:05:54.451356 : Epoch  3, Batch    104, Loss  0.613899, Average Loss  0.614032, Time  0.231554
2021-09-15 03:05:54.994287 : Epoch  2, Batch     13, Loss  0.639779, Average Loss  0.641314, Time  0.239823
2021-09-15 03:05:56.001859 : Epoch  3, Batch    105, Loss  0.622725, Average Loss  0.614052, Time  0.231176
2021-09-15 03:05:57.541143 : Epoch  3, Batch    106, Loss  0.612342, Average Loss  0.614056, Time  0.232516
2021-09-15 03:05:59.092676 : Epoch  3, Batch    107, Loss  0.614893, Average Loss  0.614034, Time  0.231293
2021-09-15 03:06:00.638137 : Epoch  3, Batch    108, Loss  0.620242, Average Loss  0.614069, Time  0.231642
2021-09-15 03:06:02.193683 : Epoch  3, Batch    109, Loss  0.613314, Average Loss  0.614055, Time  0.231270
2021-09-15 03:06:03.749103 : Epoch  3, Batch    110, Loss  0.605113, Average Loss  0.613988, Time  0.232746
2021-09-15 03:06:05.305592 : Epoch  3, Batch    111, Loss  0.620950, Average Loss  0.614046, Time  0.231001
2021-09-15 03:06:06.852093 : Epoch  3, Batch    112, Loss  0.611205, Average Loss  0.614087, Time  0.231932
2021-09-15 03:06:08.408380 : Epoch  3, Batch    113, Loss  0.625175, Average Loss  0.614162, Time  0.233278
2021-09-15 03:06:09.968065 : Epoch  3, Batch    114, Loss  0.609671, Average Loss  0.614146, Time  0.231488
2021-09-15 03:06:11.519703 : Epoch  3, Batch    115, Loss  0.621115, Average Loss  0.614220, Time  0.231591
2021-09-15 03:06:13.068236 : Epoch  3, Batch    116, Loss  0.609679, Average Loss  0.614245, Time  0.231585
2021-09-15 03:06:14.619908 : Epoch  3, Batch    117, Loss  0.614933, Average Loss  0.614237, Time  0.231977
2021-09-15 03:06:16.171986 : Epoch  3, Batch    118, Loss  0.618175, Average Loss  0.614229, Time  0.231565
2021-09-15 03:06:17.723612 : Epoch  3, Batch    119, Loss  0.608009, Average Loss  0.614199, Time  0.231271
2021-09-15 03:06:19.276086 : Epoch  3, Batch    120, Loss  0.612386, Average Loss  0.614109, Time  0.231232
2021-09-15 03:06:20.833056 : Epoch  3, Batch    121, Loss  0.611140, Average Loss  0.614065, Time  0.231573
2021-09-15 03:06:22.382780 : Epoch  3, Batch    122, Loss  0.613671, Average Loss  0.614049, Time  0.232029
2021-09-15 03:06:23.926993 : Epoch  3, Batch    123, Loss  0.608644, Average Loss  0.613980, Time  0.231127
2021-09-15 03:06:25.475589 : Epoch  3, Batch    124, Loss  0.598917, Average Loss  0.613912, Time  0.232187
2021-09-15 03:06:27.022091 : Epoch  3, Batch    125, Loss  0.612474, Average Loss  0.613899, Time  0.232648
2021-09-15 03:06:28.576376 : Epoch  3, Batch    126, Loss  0.623329, Average Loss  0.613927, Time  0.234760
2021-09-15 03:06:55.434700 : CheckPoint: Validation Loss  0.00026974, Best Loss  0.00026191
2021-09-15 03:06:56.964922 : Epoch  2, Batch     14, Loss  0.651893, Average Loss  0.641366, Time  0.240441
2021-09-15 03:06:58.483797 : Epoch  2, Batch     15, Loss  0.639948, Average Loss  0.641393, Time  0.240473
2021-09-15 03:07:00.001300 : Epoch  2, Batch     16, Loss  0.646038, Average Loss  0.641388, Time  0.240613
2021-09-15 03:07:01.523802 : Epoch  2, Batch     17, Loss  0.650626, Average Loss  0.641526, Time  0.239720
2021-09-15 03:07:01.663940 : Epoch  2, Batch     18, Loss  0.479561, Average Loss  0.640710, Time  0.097483
2021-09-15 03:07:03.181338 : Epoch  2, Batch     19, Loss  0.642910, Average Loss  0.640731, Time  0.239323
2021-09-15 03:07:04.713891 : Epoch  2, Batch     20, Loss  0.641372, Average Loss  0.640771, Time  0.238931
2021-09-15 03:07:06.240365 : Epoch  2, Batch     21, Loss  0.633202, Average Loss  0.640750, Time  0.238806
2021-09-15 03:07:07.760845 : Epoch  2, Batch     22, Loss  0.644234, Average Loss  0.640771, Time  0.238163
2021-09-15 03:07:09.292824 : Epoch  2, Batch     23, Loss  0.647897, Average Loss  0.640808, Time  0.239154
2021-09-15 03:07:10.818007 : Epoch  2, Batch     24, Loss  0.645157, Average Loss  0.640849, Time  0.236763
2021-09-15 03:07:12.368416 : Epoch  2, Batch     25, Loss  0.630019, Average Loss  0.640782, Time  0.241926
2021-09-15 03:07:13.901919 : Epoch  2, Batch     26, Loss  0.646300, Average Loss  0.640765, Time  0.238968
2021-09-15 03:07:15.439433 : Epoch  2, Batch     27, Loss  0.639126, Average Loss  0.640797, Time  0.242193
2021-09-15 03:07:17.139462 : Epoch  2, Batch     28, Loss  0.644734, Average Loss  0.640833, Time  0.260936
2021-09-15 03:07:18.825434 : Epoch  2, Batch     29, Loss  0.645087, Average Loss  0.640836, Time  0.258530
2021-09-15 03:07:20.370054 : Epoch  2, Batch     30, Loss  0.645652, Average Loss  0.640865, Time  0.240869
2021-09-15 03:07:21.905008 : Epoch  2, Batch     31, Loss  0.637722, Average Loss  0.640863, Time  0.241903
2021-09-15 03:07:23.428064 : Epoch  2, Batch     32, Loss  0.643555, Average Loss  0.640865, Time  0.242433
2021-09-15 03:07:24.966736 : Epoch  2, Batch     33, Loss  0.639865, Average Loss  0.640859, Time  0.239374
2021-09-15 03:07:26.530935 : Epoch  2, Batch     34, Loss  0.647601, Average Loss  0.640831, Time  0.242635
2021-09-15 03:07:26.602712 : CheckPoint: Validation Loss  0.00025184, Best Loss  0.00025184
2021-09-15 03:07:26.641551 : Best Model Updated
2021-09-15 03:07:28.056991 : Epoch  2, Batch     35, Loss  0.652485, Average Loss  0.640902, Time  0.241312
2021-09-15 03:07:29.045961 : Epoch  3, Batch    127, Loss  0.617576, Average Loss  0.613967, Time  0.231561
2021-09-15 03:07:29.584760 : Epoch  2, Batch     36, Loss  0.642820, Average Loss  0.640931, Time  0.240299
2021-09-15 03:07:30.594601 : Epoch  3, Batch    128, Loss  0.608352, Average Loss  0.613908, Time  0.232171
2021-09-15 03:07:31.119439 : Epoch  2, Batch     37, Loss  0.642507, Average Loss  0.640961, Time  0.241489
2021-09-15 03:07:32.142324 : Epoch  3, Batch    129, Loss  0.620269, Average Loss  0.613969, Time  0.231362
2021-09-15 03:07:32.676927 : Epoch  2, Batch     38, Loss  0.635473, Average Loss  0.640903, Time  0.240552
2021-09-15 03:07:33.689350 : Epoch  3, Batch    130, Loss  0.604801, Average Loss  0.613970, Time  0.231079
2021-09-15 03:07:34.199383 : Epoch  2, Batch     39, Loss  0.636759, Average Loss  0.640890, Time  0.240900
2021-09-15 03:07:35.240779 : Epoch  3, Batch    131, Loss  0.614677, Average Loss  0.613973, Time  0.231496
2021-09-15 03:07:35.720765 : Epoch  2, Batch     40, Loss  0.636965, Average Loss  0.640873, Time  0.241248
2021-09-15 03:07:36.782686 : Epoch  3, Batch    132, Loss  0.615094, Average Loss  0.613982, Time  0.230922
2021-09-15 03:07:37.257175 : Epoch  2, Batch     41, Loss  0.631496, Average Loss  0.640840, Time  0.241680
2021-09-15 03:07:38.325124 : Epoch  3, Batch    133, Loss  0.605840, Average Loss  0.613969, Time  0.231198
2021-09-15 03:07:38.782984 : Epoch  2, Batch     42, Loss  0.633369, Average Loss  0.640863, Time  0.240642
2021-09-15 03:07:39.870653 : Epoch  3, Batch    134, Loss  0.602304, Average Loss  0.613931, Time  0.231377
2021-09-15 03:07:40.295077 : Epoch  2, Batch     43, Loss  0.640175, Average Loss  0.640849, Time  0.239302
2021-09-15 03:07:41.414977 : Epoch  3, Batch    135, Loss  0.613977, Average Loss  0.613954, Time  0.231027
2021-09-15 03:07:41.836369 : Epoch  2, Batch     44, Loss  0.643963, Average Loss  0.640923, Time  0.242805
2021-09-15 03:07:42.955664 : Epoch  3, Batch    136, Loss  0.614234, Average Loss  0.613992, Time  0.231965
2021-09-15 03:07:43.365136 : Epoch  2, Batch     45, Loss  0.650178, Average Loss  0.640934, Time  0.241080
2021-09-15 03:07:44.502392 : Epoch  3, Batch    137, Loss  0.606774, Average Loss  0.613945, Time  0.231467
2021-09-15 03:07:44.879163 : Epoch  2, Batch     46, Loss  0.635261, Average Loss  0.640923, Time  0.239093
2021-09-15 03:07:46.044328 : Epoch  3, Batch    138, Loss  0.605769, Average Loss  0.613882, Time  0.233151
2021-09-15 03:07:46.392366 : Epoch  2, Batch     47, Loss  0.640065, Average Loss  0.640885, Time  0.240121
2021-09-15 03:07:47.579004 : Epoch  3, Batch    139, Loss  0.619018, Average Loss  0.613899, Time  0.232537
2021-09-15 03:07:47.913009 : Epoch  2, Batch     48, Loss  0.631633, Average Loss  0.640851, Time  0.242490
2021-09-15 03:07:49.118331 : Epoch  3, Batch    140, Loss  0.610321, Average Loss  0.613880, Time  0.230435
2021-09-15 03:07:49.447434 : Epoch  2, Batch     49, Loss  0.641745, Average Loss  0.640859, Time  0.241896
2021-09-15 03:07:50.657126 : Epoch  3, Batch    141, Loss  0.601686, Average Loss  0.613843, Time  0.230516
2021-09-15 03:07:50.965868 : Epoch  2, Batch     50, Loss  0.636140, Average Loss  0.640855, Time  0.239392
2021-09-15 03:07:52.191442 : Epoch  3, Batch    142, Loss  0.621787, Average Loss  0.613932, Time  0.232616
2021-09-15 03:07:52.479853 : Epoch  2, Batch     51, Loss  0.633017, Average Loss  0.640843, Time  0.238822
2021-09-15 03:07:53.731087 : Epoch  3, Batch    143, Loss  0.614593, Average Loss  0.613909, Time  0.229941
2021-09-15 03:07:53.993062 : Epoch  2, Batch     52, Loss  0.643866, Average Loss  0.640869, Time  0.241207
2021-09-15 03:07:55.263343 : Epoch  3, Batch    144, Loss  0.608793, Average Loss  0.613905, Time  0.230549
2021-09-15 03:07:55.507919 : Epoch  2, Batch     53, Loss  0.642220, Average Loss  0.640871, Time  0.239554
2021-09-15 03:07:56.827255 : Epoch  3, Batch    145, Loss  0.609827, Average Loss  0.613863, Time  0.231033
2021-09-15 03:07:57.045845 : Epoch  2, Batch     54, Loss  0.638293, Average Loss  0.640839, Time  0.243580
2021-09-15 03:07:58.352876 : Epoch  3, Batch    146, Loss  0.600244, Average Loss  0.613805, Time  0.229908
2021-09-15 03:07:58.582471 : Epoch  2, Batch     55, Loss  0.634869, Average Loss  0.640770, Time  0.240202
2021-09-15 03:07:59.914599 : Epoch  3, Batch    147, Loss  0.616406, Average Loss  0.613779, Time  0.232453
2021-09-15 03:08:00.118201 : Epoch  2, Batch     56, Loss  0.652653, Average Loss  0.640785, Time  0.240170
2021-09-15 03:08:01.450943 : Epoch  3, Batch    148, Loss  0.616056, Average Loss  0.613785, Time  0.231055
2021-09-15 03:08:01.814994 : Epoch  2, Batch     57, Loss  0.645470, Average Loss  0.640814, Time  0.259382
2021-09-15 03:08:02.987943 : Epoch  3, Batch    149, Loss  0.608048, Average Loss  0.613735, Time  0.230916
2021-09-15 03:08:03.347873 : Epoch  2, Batch     58, Loss  0.641702, Average Loss  0.640823, Time  0.241965
2021-09-15 03:08:04.527932 : Epoch  3, Batch    150, Loss  0.610384, Average Loss  0.613731, Time  0.233366
2021-09-15 03:08:04.889010 : Epoch  2, Batch     59, Loss  0.643923, Average Loss  0.640811, Time  0.241766
2021-09-15 03:08:06.064218 : Epoch  3, Batch    151, Loss  0.614075, Average Loss  0.613736, Time  0.230988
2021-09-15 03:08:06.410852 : Epoch  2, Batch     60, Loss  0.635598, Average Loss  0.640764, Time  0.241544
2021-09-15 03:08:07.604580 : Epoch  3, Batch    152, Loss  0.614725, Average Loss  0.613712, Time  0.230692
2021-09-15 03:08:07.931098 : Epoch  2, Batch     61, Loss  0.641504, Average Loss  0.640776, Time  0.240602
2021-09-15 03:08:09.144943 : Epoch  3, Batch    153, Loss  0.618014, Average Loss  0.613736, Time  0.231166
2021-09-15 03:08:09.473844 : Epoch  2, Batch     62, Loss  0.640222, Average Loss  0.640795, Time  0.243153
2021-09-15 03:08:10.676793 : Epoch  3, Batch    154, Loss  0.609743, Average Loss  0.613774, Time  0.231289
2021-09-15 03:08:10.997848 : Epoch  2, Batch     63, Loss  0.642717, Average Loss  0.640828, Time  0.241806
2021-09-15 03:08:12.226851 : Epoch  3, Batch    155, Loss  0.607510, Average Loss  0.613750, Time  0.230546
2021-09-15 03:08:12.528871 : Epoch  2, Batch     64, Loss  0.636657, Average Loss  0.640838, Time  0.242422
2021-09-15 03:08:13.762572 : Epoch  3, Batch    156, Loss  0.624751, Average Loss  0.613862, Time  0.230634
2021-09-15 03:08:14.050388 : Epoch  2, Batch     65, Loss  0.641609, Average Loss  0.640783, Time  0.241389
2021-09-15 03:08:15.290950 : Epoch  3, Batch    157, Loss  0.616754, Average Loss  0.613893, Time  0.230113
2021-09-15 03:08:15.572443 : Epoch  2, Batch     66, Loss  0.629993, Average Loss  0.640814, Time  0.240921
2021-09-15 03:08:16.832443 : Epoch  3, Batch    158, Loss  0.610287, Average Loss  0.613865, Time  0.230271
2021-09-15 03:08:17.096032 : Epoch  2, Batch     67, Loss  0.643602, Average Loss  0.640783, Time  0.239698
2021-09-15 03:08:18.366169 : Epoch  3, Batch    159, Loss  0.616894, Average Loss  0.613921, Time  0.231380
2021-09-15 03:08:18.626150 : Epoch  2, Batch     68, Loss  0.636235, Average Loss  0.640797, Time  0.239439
2021-09-15 03:08:19.905376 : Epoch  3, Batch    160, Loss  0.613742, Average Loss  0.613915, Time  0.231941
2021-09-15 03:08:20.141215 : Epoch  2, Batch     69, Loss  0.641752, Average Loss  0.640782, Time  0.239498
2021-09-15 03:08:21.447126 : Epoch  3, Batch    161, Loss  0.615187, Average Loss  0.613913, Time  0.231578
2021-09-15 03:08:21.656006 : Epoch  2, Batch     70, Loss  0.640313, Average Loss  0.640767, Time  0.238206
2021-09-15 03:08:22.983825 : Epoch  3, Batch    162, Loss  0.613455, Average Loss  0.613874, Time  0.231014
2021-09-15 03:08:23.170391 : Epoch  2, Batch     71, Loss  0.632235, Average Loss  0.640743, Time  0.245763
2021-09-15 03:08:24.515277 : Epoch  3, Batch    163, Loss  0.608377, Average Loss  0.613810, Time  0.230650
2021-09-15 03:08:24.700466 : Epoch  2, Batch     72, Loss  0.645871, Average Loss  0.640772, Time  0.239324
2021-09-15 03:08:26.061301 : Epoch  3, Batch    164, Loss  0.623163, Average Loss  0.613858, Time  0.230721
2021-09-15 03:08:26.233443 : Epoch  2, Batch     73, Loss  0.643516, Average Loss  0.640794, Time  0.240628
2021-09-15 03:08:27.608366 : Epoch  3, Batch    165, Loss  0.617589, Average Loss  0.613833, Time  0.231026
2021-09-15 03:08:27.750116 : Epoch  2, Batch     74, Loss  0.638894, Average Loss  0.640815, Time  0.238731
2021-09-15 03:08:29.144587 : Epoch  3, Batch    166, Loss  0.619435, Average Loss  0.613899, Time  0.231042
2021-09-15 03:08:29.269350 : Epoch  2, Batch     75, Loss  0.636098, Average Loss  0.640794, Time  0.241880
2021-09-15 03:08:30.688621 : Epoch  3, Batch    167, Loss  0.612377, Average Loss  0.613886, Time  0.231198
2021-09-15 03:08:30.803065 : Epoch  2, Batch     76, Loss  0.645607, Average Loss  0.640855, Time  0.239299
2021-09-15 03:08:32.232774 : Epoch  3, Batch    168, Loss  0.615400, Average Loss  0.613890, Time  0.233696
2021-09-15 03:08:32.317340 : Epoch  2, Batch     77, Loss  0.642035, Average Loss  0.640833, Time  0.239197
2021-09-15 03:08:33.774852 : Epoch  3, Batch    169, Loss  0.601417, Average Loss  0.613840, Time  0.232299
2021-09-15 03:08:33.834885 : Epoch  2, Batch     78, Loss  0.629926, Average Loss  0.640749, Time  0.238829
2021-09-15 03:08:35.327281 : Epoch  3, Batch    170, Loss  0.609741, Average Loss  0.613815, Time  0.231220
2021-09-15 03:08:35.357986 : Epoch  2, Batch     79, Loss  0.637416, Average Loss  0.640710, Time  0.239237
2021-09-15 03:08:36.865347 : Epoch  3, Batch    171, Loss  0.606728, Average Loss  0.613696, Time  0.231072
2021-09-15 03:08:36.901969 : Epoch  2, Batch     80, Loss  0.644781, Average Loss  0.640727, Time  0.240852
2021-09-15 03:08:38.412215 : Epoch  3, Batch    172, Loss  0.611130, Average Loss  0.613685, Time  0.231019
2021-09-15 03:08:38.451424 : Epoch  2, Batch     81, Loss  0.643073, Average Loss  0.640713, Time  0.240655
2021-09-15 03:08:39.952622 : Epoch  3, Batch    173, Loss  0.606811, Average Loss  0.613630, Time  0.231216
2021-09-15 03:08:39.986114 : Epoch  2, Batch     82, Loss  0.643057, Average Loss  0.640706, Time  0.239473
2021-09-15 03:08:41.494360 : Epoch  3, Batch    174, Loss  0.610213, Average Loss  0.613637, Time  0.231990
2021-09-15 03:08:41.664426 : Epoch  2, Batch     83, Loss  0.644087, Average Loss  0.640724, Time  0.259387
2021-09-15 03:08:43.035781 : Epoch  3, Batch    175, Loss  0.605256, Average Loss  0.613590, Time  0.231060
2021-09-15 03:08:43.335928 : Epoch  2, Batch     84, Loss  0.637102, Average Loss  0.640725, Time  0.259458
2021-09-15 03:08:44.573553 : Epoch  3, Batch    176, Loss  0.619892, Average Loss  0.613555, Time  0.231432
2021-09-15 03:08:46.117553 : Epoch  3, Batch    177, Loss  0.602333, Average Loss  0.613493, Time  0.232009
2021-09-15 03:08:47.660392 : Epoch  3, Batch    178, Loss  0.614348, Average Loss  0.613506, Time  0.231508
2021-09-15 03:08:47.717758 : Epoch  2, Batch     85, Loss  0.646842, Average Loss  0.640752, Time  0.292914
2021-09-15 03:08:49.202078 : Epoch  3, Batch    179, Loss  0.617263, Average Loss  0.613535, Time  0.231692
2021-09-15 03:08:49.397810 : Epoch  2, Batch     86, Loss  0.636880, Average Loss  0.640755, Time  0.258965
2021-09-15 03:08:50.748449 : Epoch  3, Batch    180, Loss  0.609646, Average Loss  0.613527, Time  0.232307
2021-09-15 03:08:50.912064 : Epoch  2, Batch     87, Loss  0.650632, Average Loss  0.640808, Time  0.243462
2021-09-15 03:08:52.283588 : Epoch  3, Batch    181, Loss  0.617488, Average Loss  0.613510, Time  0.231416
2021-09-15 03:08:52.432317 : Epoch  2, Batch     88, Loss  0.645493, Average Loss  0.640874, Time  0.239632
2021-09-15 03:08:53.833176 : Epoch  3, Batch    182, Loss  0.613053, Average Loss  0.613497, Time  0.232516
2021-09-15 03:08:53.944737 : Epoch  2, Batch     89, Loss  0.643156, Average Loss  0.640879, Time  0.239829
2021-09-15 03:08:55.373425 : Epoch  3, Batch    183, Loss  0.603053, Average Loss  0.613459, Time  0.231829
2021-09-15 03:08:55.450953 : Epoch  2, Batch     90, Loss  0.650192, Average Loss  0.640935, Time  0.238029
2021-09-15 03:08:56.924879 : Epoch  3, Batch    184, Loss  0.617676, Average Loss  0.613417, Time  0.231721
2021-09-15 03:08:56.982824 : Epoch  2, Batch     91, Loss  0.646173, Average Loss  0.640950, Time  0.238455
2021-09-15 03:08:58.455655 : Epoch  3, Batch    185, Loss  0.622208, Average Loss  0.613498, Time  0.230960
2021-09-15 03:08:58.514127 : Epoch  2, Batch     92, Loss  0.640806, Average Loss  0.640928, Time  0.240621
2021-09-15 03:08:59.991415 : Epoch  3, Batch    186, Loss  0.595361, Average Loss  0.613410, Time  0.231356
2021-09-15 03:09:00.195260 : Epoch  2, Batch     93, Loss  0.638199, Average Loss  0.640651, Time  0.258331
2021-09-15 03:09:01.539374 : Epoch  3, Batch    187, Loss  0.615153, Average Loss  0.613403, Time  0.230858
2021-09-15 03:09:01.747118 : Epoch  2, Batch     94, Loss  0.636971, Average Loss  0.640667, Time  0.238170
2021-09-15 03:09:03.091697 : Epoch  3, Batch    188, Loss  0.624030, Average Loss  0.613453, Time  0.231965
2021-09-15 03:09:03.321105 : Epoch  2, Batch     95, Loss  0.633676, Average Loss  0.640611, Time  0.239564
2021-09-15 03:09:04.634057 : Epoch  3, Batch    189, Loss  0.611317, Average Loss  0.613442, Time  0.231395
2021-09-15 03:09:04.838378 : Epoch  2, Batch     96, Loss  0.636831, Average Loss  0.640574, Time  0.239474
2021-09-15 03:09:06.169551 : Epoch  3, Batch    190, Loss  0.612668, Average Loss  0.613423, Time  0.231450
2021-09-15 03:09:06.388403 : Epoch  2, Batch     97, Loss  0.643245, Average Loss  0.640574, Time  0.256935
2021-09-15 03:09:07.710339 : Epoch  3, Batch    191, Loss  0.606617, Average Loss  0.613323, Time  0.231513
2021-09-15 03:09:08.052004 : Epoch  2, Batch     98, Loss  0.637519, Average Loss  0.640508, Time  0.257650
2021-09-15 03:09:09.253363 : Epoch  3, Batch    192, Loss  0.605589, Average Loss  0.613249, Time  0.231195
2021-09-15 03:09:09.735058 : Epoch  2, Batch     99, Loss  0.631258, Average Loss  0.640468, Time  0.258885
2021-09-15 03:09:10.788628 : Epoch  3, Batch    193, Loss  0.624078, Average Loss  0.613314, Time  0.231001
2021-09-15 03:09:11.384043 : Epoch  2, Batch    100, Loss  0.636406, Average Loss  0.640439, Time  0.239236
2021-09-15 03:09:12.332083 : Epoch  3, Batch    194, Loss  0.611050, Average Loss  0.613312, Time  0.232087
2021-09-15 03:09:12.914057 : Epoch  2, Batch    101, Loss  0.633648, Average Loss  0.640392, Time  0.237735
2021-09-15 03:09:13.866388 : Epoch  3, Batch    195, Loss  0.617679, Average Loss  0.613308, Time  0.231614
2021-09-15 03:09:14.447500 : Epoch  2, Batch    102, Loss  0.643275, Average Loss  0.640396, Time  0.239642
2021-09-15 03:09:15.395002 : Epoch  3, Batch    196, Loss  0.614103, Average Loss  0.613312, Time  0.231388
2021-09-15 03:09:16.141434 : Epoch  2, Batch    103, Loss  0.631135, Average Loss  0.640391, Time  0.260531
2021-09-15 03:09:17.810778 : Epoch  2, Batch    104, Loss  0.635784, Average Loss  0.640338, Time  0.259421
2021-09-15 03:09:19.265088 : Epoch  3, Batch    197, Loss  0.610549, Average Loss  0.613328, Time  0.252602
2021-09-15 03:09:19.499116 : Epoch  2, Batch    105, Loss  0.645704, Average Loss  0.640325, Time  0.260224
2021-09-15 03:09:20.799060 : Epoch  3, Batch    198, Loss  0.611556, Average Loss  0.613275, Time  0.231456
2021-09-15 03:09:21.178064 : Epoch  2, Batch    106, Loss  0.639900, Average Loss  0.640319, Time  0.259701
2021-09-15 03:09:22.336778 : Epoch  3, Batch    199, Loss  0.626307, Average Loss  0.613307, Time  0.230793
2021-09-15 03:09:22.835757 : Epoch  2, Batch    107, Loss  0.639104, Average Loss  0.640290, Time  0.240213
2021-09-15 03:09:23.878145 : Epoch  3, Batch    200, Loss  0.606675, Average Loss  0.613265, Time  0.231841
2021-09-15 03:09:24.352845 : Epoch  2, Batch    108, Loss  0.642819, Average Loss  0.640334, Time  0.238430
2021-09-15 03:09:25.415611 : Epoch  3, Batch    201, Loss  0.609017, Average Loss  0.613280, Time  0.231257
2021-09-15 03:09:25.865240 : Epoch  2, Batch    109, Loss  0.636536, Average Loss  0.640321, Time  0.239588
2021-09-15 03:09:26.471644 : CheckPoint: Validation Loss  0.00031491, Best Loss  0.00030302
2021-09-15 03:09:26.946377 : Epoch  3, Batch    202, Loss  0.604788, Average Loss  0.613281, Time  0.232116
2021-09-15 03:09:27.404985 : Epoch  2, Batch    110, Loss  0.634646, Average Loss  0.640277, Time  0.242583
2021-09-15 03:09:28.473679 : Epoch  3, Batch    203, Loss  0.605362, Average Loss  0.613238, Time  0.231263
2021-09-15 03:09:28.926350 : Epoch  2, Batch    111, Loss  0.646194, Average Loss  0.640283, Time  0.240559
2021-09-15 03:09:29.452978 : Epoch  1, Batch    601, Loss  0.873508, Average Loss  0.888657, Time  0.267650
2021-09-15 03:09:30.009868 : Epoch  3, Batch    204, Loss  0.610600, Average Loss  0.613221, Time  0.231538
2021-09-15 03:09:30.463231 : Epoch  2, Batch    112, Loss  0.644364, Average Loss  0.640286, Time  0.239842
2021-09-15 03:09:31.557062 : Epoch  3, Batch    205, Loss  0.625513, Average Loss  0.613262, Time  0.231208
2021-09-15 03:09:31.985344 : Epoch  2, Batch    113, Loss  0.636878, Average Loss  0.640253, Time  0.241201
2021-09-15 03:09:32.467549 : Epoch  1, Batch    602, Loss  0.882033, Average Loss  0.888691, Time  0.265463
2021-09-15 03:09:33.105558 : Epoch  3, Batch    206, Loss  0.614830, Average Loss  0.613275, Time  0.231086
2021-09-15 03:09:34.649115 : Epoch  3, Batch    207, Loss  0.614316, Average Loss  0.613249, Time  0.232068
2021-09-15 03:09:35.472665 : Epoch  1, Batch    603, Loss  0.902409, Average Loss  0.888732, Time  0.268065
2021-09-15 03:09:36.184594 : Epoch  3, Batch    208, Loss  0.601418, Average Loss  0.613249, Time  0.231553
2021-09-15 03:09:37.724914 : Epoch  3, Batch    209, Loss  0.609479, Average Loss  0.613247, Time  0.231281
2021-09-15 03:09:38.502832 : Epoch  1, Batch    604, Loss  0.898219, Average Loss  0.888694, Time  0.265712
2021-09-15 03:09:39.261738 : Epoch  3, Batch    210, Loss  0.608033, Average Loss  0.613242, Time  0.231683
2021-09-15 03:09:40.805397 : Epoch  3, Batch    211, Loss  0.625893, Average Loss  0.613269, Time  0.231417
2021-09-15 03:09:41.517523 : Epoch  1, Batch    605, Loss  0.904070, Average Loss  0.888849, Time  0.265294
2021-09-15 03:09:42.348925 : Epoch  3, Batch    212, Loss  0.609736, Average Loss  0.613261, Time  0.231447
2021-09-15 03:09:43.889417 : Epoch  3, Batch    213, Loss  0.602817, Average Loss  0.613218, Time  0.231264
2021-09-15 03:09:44.542547 : Epoch  1, Batch    606, Loss  0.877998, Average Loss  0.888866, Time  0.266042
2021-09-15 03:09:45.437906 : Epoch  3, Batch    214, Loss  0.617787, Average Loss  0.613212, Time  0.231833
2021-09-15 03:09:46.972720 : Epoch  3, Batch    215, Loss  0.620960, Average Loss  0.613280, Time  0.231326
2021-09-15 03:09:47.564020 : Epoch  1, Batch    607, Loss  0.909949, Average Loss  0.888944, Time  0.265105
2021-09-15 03:09:48.506918 : Epoch  3, Batch    216, Loss  0.626151, Average Loss  0.613282, Time  0.231107
2021-09-15 03:09:50.037025 : Epoch  3, Batch    217, Loss  0.612374, Average Loss  0.613271, Time  0.231312
2021-09-15 03:09:50.587931 : Epoch  1, Batch    608, Loss  0.873515, Average Loss  0.888917, Time  0.265449
2021-09-15 03:09:51.575295 : Epoch  3, Batch    218, Loss  0.623844, Average Loss  0.613360, Time  0.230771
2021-09-15 03:09:53.110260 : Epoch  3, Batch    219, Loss  0.603433, Average Loss  0.613227, Time  0.231092
2021-09-15 03:09:53.583710 : Epoch  1, Batch    609, Loss  0.894666, Average Loss  0.888841, Time  0.263512
2021-09-15 03:09:54.637104 : Epoch  3, Batch    220, Loss  0.615233, Average Loss  0.613248, Time  0.231007
2021-09-15 03:09:56.173014 : Epoch  3, Batch    221, Loss  0.609595, Average Loss  0.613205, Time  0.230913
2021-09-15 03:09:56.543999 : Epoch  1, Batch    610, Loss  0.889356, Average Loss  0.888924, Time  0.265127
2021-09-15 03:09:57.706099 : Epoch  3, Batch    222, Loss  0.607067, Average Loss  0.613169, Time  0.232418
2021-09-15 03:09:59.235724 : Epoch  3, Batch    223, Loss  0.602184, Average Loss  0.613088, Time  0.231607
2021-09-15 03:09:59.524476 : Epoch  1, Batch    611, Loss  0.881155, Average Loss  0.888856, Time  0.264625
2021-09-15 03:10:00.772331 : Epoch  3, Batch    224, Loss  0.609867, Average Loss  0.613076, Time  0.232044
2021-09-15 03:10:02.299952 : Epoch  3, Batch    225, Loss  0.612456, Average Loss  0.613056, Time  0.231253
2021-09-15 03:10:02.503106 : Epoch  1, Batch    612, Loss  0.884542, Average Loss  0.888791, Time  0.270767
2021-09-15 03:10:03.837201 : Epoch  3, Batch    226, Loss  0.621625, Average Loss  0.613093, Time  0.232741
2021-09-15 03:10:05.487418 : Epoch  1, Batch    613, Loss  0.889748, Average Loss  0.888740, Time  0.265543
2021-09-15 03:10:08.483645 : Epoch  1, Batch    614, Loss  0.882882, Average Loss  0.888650, Time  0.263519
2021-09-15 03:10:11.448063 : Epoch  1, Batch    615, Loss  0.915506, Average Loss  0.888796, Time  0.264258
2021-09-15 03:10:14.455513 : Epoch  1, Batch    616, Loss  0.893271, Average Loss  0.888725, Time  0.264647
2021-09-15 03:10:17.436024 : Epoch  1, Batch    617, Loss  0.878848, Average Loss  0.888691, Time  0.264511
2021-09-15 03:10:20.447012 : Epoch  1, Batch    618, Loss  0.893411, Average Loss  0.888715, Time  0.265334
2021-09-15 03:10:23.467842 : Epoch  1, Batch    619, Loss  0.891972, Average Loss  0.888756, Time  0.267045
2021-09-15 03:10:26.502287 : Epoch  1, Batch    620, Loss  0.861544, Average Loss  0.888553, Time  0.265898
2021-09-15 03:10:29.064794 : CheckPoint: Validation Loss  0.00026666, Best Loss  0.00026191
2021-09-15 03:10:29.541026 : Epoch  1, Batch    621, Loss  0.878618, Average Loss  0.888515, Time  0.265528
2021-09-15 03:10:30.628219 : Epoch  2, Batch    114, Loss  0.643612, Average Loss  0.640327, Time  0.275396
2021-09-15 03:10:32.162019 : Epoch  2, Batch    115, Loss  0.644907, Average Loss  0.640363, Time  0.254405
2021-09-15 03:10:32.553830 : Epoch  1, Batch    622, Loss  0.889694, Average Loss  0.888468, Time  0.266257
2021-09-15 03:10:33.679770 : Epoch  2, Batch    116, Loss  0.641000, Average Loss  0.640342, Time  0.242809
2021-09-15 03:10:35.200869 : Epoch  2, Batch    117, Loss  0.643547, Average Loss  0.640299, Time  0.238568
2021-09-15 03:10:35.560575 : Epoch  1, Batch    623, Loss  0.877110, Average Loss  0.888452, Time  0.264265
2021-09-15 03:10:36.718715 : Epoch  2, Batch    118, Loss  0.651760, Average Loss  0.640342, Time  0.239435
2021-09-15 03:10:38.234301 : Epoch  2, Batch    119, Loss  0.632173, Average Loss  0.640278, Time  0.238144
2021-09-15 03:10:38.553032 : Epoch  1, Batch    624, Loss  0.866360, Average Loss  0.888315, Time  0.264151
2021-09-15 03:10:39.767360 : Epoch  2, Batch    120, Loss  0.639020, Average Loss  0.640257, Time  0.241136
2021-09-15 03:10:41.294876 : Epoch  2, Batch    121, Loss  0.644260, Average Loss  0.640257, Time  0.241966
2021-09-15 03:10:41.542772 : Epoch  1, Batch    625, Loss  0.895217, Average Loss  0.888298, Time  0.265397
2021-09-15 03:10:42.810922 : Epoch  2, Batch    122, Loss  0.639577, Average Loss  0.640265, Time  0.240372
2021-09-15 03:10:44.344950 : Epoch  2, Batch    123, Loss  0.645991, Average Loss  0.640329, Time  0.241516
2021-09-15 03:10:44.521157 : Epoch  1, Batch    626, Loss  0.890508, Average Loss  0.888261, Time  0.264784
2021-09-15 03:10:45.868279 : Epoch  2, Batch    124, Loss  0.629935, Average Loss  0.640240, Time  0.239742
2021-09-15 03:10:47.385409 : Epoch  2, Batch    125, Loss  0.640826, Average Loss  0.640232, Time  0.239379
2021-09-15 03:10:47.508283 : Epoch  1, Batch    627, Loss  0.885421, Average Loss  0.888271, Time  0.276938
2021-09-15 03:10:48.928134 : Epoch  2, Batch    126, Loss  0.641043, Average Loss  0.640217, Time  0.242250
2021-09-15 03:10:50.445784 : Epoch  2, Batch    127, Loss  0.632579, Average Loss  0.640168, Time  0.238777
2021-09-15 03:10:50.500358 : Epoch  1, Batch    628, Loss  0.870690, Average Loss  0.888193, Time  0.265161
2021-09-15 03:10:51.969815 : Epoch  2, Batch    128, Loss  0.641661, Average Loss  0.640125, Time  0.238657
2021-09-15 03:10:53.487666 : Epoch  1, Batch    629, Loss  0.869810, Average Loss  0.888122, Time  0.264973
2021-09-15 03:10:53.648681 : Epoch  2, Batch    129, Loss  0.645746, Average Loss  0.640197, Time  0.259109
2021-09-15 03:10:55.184337 : Epoch  2, Batch    130, Loss  0.634772, Average Loss  0.640151, Time  0.243094
2021-09-15 03:10:56.490290 : Epoch  1, Batch    630, Loss  0.885593, Average Loss  0.888190, Time  0.264991
2021-09-15 03:10:56.700546 : Epoch  2, Batch    131, Loss  0.634668, Average Loss  0.640140, Time  0.237512
2021-09-15 03:10:58.217401 : Epoch  2, Batch    132, Loss  0.636764, Average Loss  0.640152, Time  0.239959
2021-09-15 03:10:59.483505 : Epoch  1, Batch    631, Loss  0.889321, Average Loss  0.888061, Time  0.266391
2021-09-15 03:10:59.913915 : Epoch  2, Batch    133, Loss  0.640787, Average Loss  0.640138, Time  0.255029
2021-09-15 03:11:01.434977 : Epoch  2, Batch    134, Loss  0.640545, Average Loss  0.640101, Time  0.238089
2021-09-15 03:11:01.657728 : CheckPoint: Validation Loss  0.00025195, Best Loss  0.00025184
2021-09-15 03:11:02.533655 : Epoch  1, Batch    632, Loss  0.874660, Average Loss  0.887966, Time  0.264308
2021-09-15 03:11:02.950870 : Epoch  2, Batch    135, Loss  0.647939, Average Loss  0.640080, Time  0.239168
2021-09-15 03:11:03.193044 : Epoch  3, Batch    227, Loss  0.618425, Average Loss  0.613175, Time  0.232107
2021-09-15 03:11:04.528020 : Epoch  2, Batch    136, Loss  0.646753, Average Loss  0.640142, Time  0.262620
2021-09-15 03:11:04.773741 : Epoch  3, Batch    228, Loss  0.611646, Average Loss  0.613171, Time  0.232854
2021-09-15 03:11:05.553820 : Epoch  1, Batch    633, Loss  0.892441, Average Loss  0.887917, Time  0.265065
2021-09-15 03:11:06.229487 : Epoch  2, Batch    137, Loss  0.643448, Average Loss  0.640160, Time  0.260943
2021-09-15 03:11:06.319991 : Epoch  3, Batch    229, Loss  0.617378, Average Loss  0.613232, Time  0.231323
2021-09-15 03:11:07.869979 : Epoch  3, Batch    230, Loss  0.608449, Average Loss  0.613245, Time  0.233082
2021-09-15 03:11:07.920493 : Epoch  2, Batch    138, Loss  0.641449, Average Loss  0.640223, Time  0.258587
2021-09-15 03:11:08.571299 : Epoch  1, Batch    634, Loss  0.882596, Average Loss  0.887899, Time  0.264308
2021-09-15 03:11:09.423288 : Epoch  3, Batch    231, Loss  0.607773, Average Loss  0.613210, Time  0.231716
2021-09-15 03:11:09.470154 : Epoch  2, Batch    139, Loss  0.636593, Average Loss  0.640216, Time  0.239638
2021-09-15 03:11:10.965953 : Epoch  3, Batch    232, Loss  0.611709, Average Loss  0.613152, Time  0.232305
2021-09-15 03:11:11.012430 : Epoch  2, Batch    140, Loss  0.642334, Average Loss  0.640237, Time  0.241834
2021-09-15 03:11:11.575544 : Epoch  1, Batch    635, Loss  0.876893, Average Loss  0.887865, Time  0.265255
2021-09-15 03:11:12.508804 : Epoch  3, Batch    233, Loss  0.617449, Average Loss  0.613135, Time  0.231373
2021-09-15 03:11:12.550992 : Epoch  2, Batch    141, Loss  0.642945, Average Loss  0.640289, Time  0.240313
2021-09-15 03:11:14.060956 : Epoch  3, Batch    234, Loss  0.620223, Average Loss  0.613199, Time  0.232578
2021-09-15 03:11:14.097446 : Epoch  2, Batch    142, Loss  0.643060, Average Loss  0.640279, Time  0.239432
2021-09-15 03:11:14.600148 : Epoch  1, Batch    636, Loss  0.899351, Average Loss  0.887840, Time  0.265543
2021-09-15 03:11:15.601836 : Epoch  3, Batch    235, Loss  0.607359, Average Loss  0.613158, Time  0.231013
2021-09-15 03:11:15.630552 : Epoch  2, Batch    143, Loss  0.632348, Average Loss  0.640236, Time  0.241578
2021-09-15 03:11:17.157651 : Epoch  3, Batch    236, Loss  0.623936, Average Loss  0.613270, Time  0.233065
2021-09-15 03:11:17.339966 : Epoch  2, Batch    144, Loss  0.640797, Average Loss  0.640232, Time  0.264158
2021-09-15 03:11:17.585175 : Epoch  1, Batch    637, Loss  0.884600, Average Loss  0.887661, Time  0.264748
2021-09-15 03:11:18.702994 : Epoch  3, Batch    237, Loss  0.615954, Average Loss  0.613294, Time  0.230766
2021-09-15 03:11:19.031172 : Epoch  2, Batch    145, Loss  0.645349, Average Loss  0.640269, Time  0.258801
2021-09-15 03:11:20.249975 : Epoch  3, Batch    238, Loss  0.607801, Average Loss  0.613251, Time  0.231183
2021-09-15 03:11:20.581169 : Epoch  1, Batch    638, Loss  0.857243, Average Loss  0.887515, Time  0.266438
2021-09-15 03:11:20.725985 : Epoch  2, Batch    146, Loss  0.647882, Average Loss  0.640395, Time  0.261754
2021-09-15 03:11:21.788986 : Epoch  3, Batch    239, Loss  0.607059, Average Loss  0.613139, Time  0.232198
2021-09-15 03:11:22.403060 : Epoch  2, Batch    147, Loss  0.633157, Average Loss  0.640347, Time  0.260049
2021-09-15 03:11:23.328954 : Epoch  3, Batch    240, Loss  0.614456, Average Loss  0.613208, Time  0.231731
2021-09-15 03:11:23.582202 : Epoch  1, Batch    639, Loss  0.867139, Average Loss  0.887447, Time  0.266932
2021-09-15 03:11:23.965513 : Epoch  2, Batch    148, Loss  0.641574, Average Loss  0.640340, Time  0.242779
2021-09-15 03:11:24.874015 : Epoch  3, Batch    241, Loss  0.609095, Average Loss  0.613190, Time  0.231250
2021-09-15 03:11:25.500322 : Epoch  2, Batch    149, Loss  0.642829, Average Loss  0.640316, Time  0.239059
2021-09-15 03:11:26.406811 : Epoch  3, Batch    242, Loss  0.616347, Average Loss  0.613233, Time  0.231561
2021-09-15 03:11:26.590107 : Epoch  1, Batch    640, Loss  0.888206, Average Loss  0.887416, Time  0.265301
2021-09-15 03:11:27.040879 : Epoch  2, Batch    150, Loss  0.641319, Average Loss  0.640344, Time  0.241453
2021-09-15 03:11:27.940213 : Epoch  3, Batch    243, Loss  0.627078, Average Loss  0.613282, Time  0.230984
2021-09-15 03:11:28.573403 : Epoch  2, Batch    151, Loss  0.639922, Average Loss  0.640360, Time  0.241535
2021-09-15 03:11:29.471231 : Epoch  3, Batch    244, Loss  0.602686, Average Loss  0.613170, Time  0.230744
2021-09-15 03:11:29.573380 : Epoch  1, Batch    641, Loss  0.865622, Average Loss  0.887183, Time  0.265655
2021-09-15 03:11:30.103407 : Epoch  2, Batch    152, Loss  0.641730, Average Loss  0.640362, Time  0.241715
2021-09-15 03:11:30.998374 : Epoch  3, Batch    245, Loss  0.631055, Average Loss  0.613273, Time  0.229999
2021-09-15 03:11:31.661202 : Epoch  2, Batch    153, Loss  0.638176, Average Loss  0.640335, Time  0.241487
2021-09-15 03:11:32.534887 : Epoch  3, Batch    246, Loss  0.607010, Average Loss  0.613211, Time  0.230183
2021-09-15 03:11:32.578138 : Epoch  1, Batch    642, Loss  0.907944, Average Loss  0.887236, Time  0.271219
2021-09-15 03:11:33.195131 : Epoch  2, Batch    154, Loss  0.642742, Average Loss  0.640340, Time  0.239963
2021-09-15 03:11:34.075459 : Epoch  3, Batch    247, Loss  0.608526, Average Loss  0.613197, Time  0.231751
2021-09-15 03:11:34.736031 : Epoch  2, Batch    155, Loss  0.631214, Average Loss  0.640280, Time  0.239948
2021-09-15 03:11:35.606231 : Epoch  1, Batch    643, Loss  0.895376, Average Loss  0.887298, Time  0.264659
2021-09-15 03:11:35.606439 : Epoch  3, Batch    248, Loss  0.616023, Average Loss  0.613147, Time  0.231172
2021-09-15 03:11:36.279786 : Epoch  2, Batch    156, Loss  0.641626, Average Loss  0.640238, Time  0.242680
2021-09-15 03:11:37.166898 : Epoch  3, Batch    249, Loss  0.620133, Average Loss  0.613181, Time  0.231674
2021-09-15 03:11:37.809405 : Epoch  2, Batch    157, Loss  0.642895, Average Loss  0.640219, Time  0.241337
2021-09-15 03:11:38.614527 : Epoch  1, Batch    644, Loss  0.908427, Average Loss  0.887394, Time  0.265225
2021-09-15 03:11:38.724108 : Epoch  3, Batch    250, Loss  0.621743, Average Loss  0.613197, Time  0.231128
2021-09-15 03:11:39.345976 : Epoch  2, Batch    158, Loss  0.646322, Average Loss  0.640230, Time  0.242027
2021-09-15 03:11:40.259295 : Epoch  3, Batch    251, Loss  0.604757, Average Loss  0.613166, Time  0.231601
2021-09-15 03:11:40.870169 : Epoch  2, Batch    159, Loss  0.639079, Average Loss  0.640196, Time  0.240388
2021-09-15 03:11:41.594547 : Epoch  1, Batch    645, Loss  0.870890, Average Loss  0.887229, Time  0.264737
2021-09-15 03:11:41.803973 : Epoch  3, Batch    252, Loss  0.603067, Average Loss  0.613141, Time  0.233948
2021-09-15 03:11:42.402462 : Epoch  2, Batch    160, Loss  0.638977, Average Loss  0.640173, Time  0.240607
2021-09-15 03:11:43.345233 : Epoch  3, Batch    253, Loss  0.608676, Average Loss  0.613166, Time  0.230912
2021-09-15 03:11:43.937794 : Epoch  2, Batch    161, Loss  0.632188, Average Loss  0.640114, Time  0.239936
2021-09-15 03:11:44.577861 : Epoch  1, Batch    646, Loss  0.880436, Average Loss  0.887119, Time  0.264550
2021-09-15 03:11:44.890381 : Epoch  3, Batch    254, Loss  0.610293, Average Loss  0.613175, Time  0.231029
2021-09-15 03:11:45.495766 : Epoch  2, Batch    162, Loss  0.635830, Average Loss  0.640139, Time  0.241077
2021-09-15 03:11:46.420249 : Epoch  3, Batch    255, Loss  0.606308, Average Loss  0.613121, Time  0.231141
2021-09-15 03:11:47.027111 : Epoch  2, Batch    163, Loss  0.636542, Average Loss  0.640150, Time  0.238842
2021-09-15 03:11:47.553302 : Epoch  1, Batch    647, Loss  0.876471, Average Loss  0.887062, Time  0.264693
2021-09-15 03:11:47.959149 : Epoch  3, Batch    256, Loss  0.609623, Average Loss  0.613147, Time  0.231498
2021-09-15 03:11:48.552818 : Epoch  2, Batch    164, Loss  0.642691, Average Loss  0.640123, Time  0.238525
2021-09-15 03:11:49.493333 : Epoch  3, Batch    257, Loss  0.613555, Average Loss  0.613192, Time  0.231734
2021-09-15 03:11:50.074149 : Epoch  2, Batch    165, Loss  0.638921, Average Loss  0.640093, Time  0.238128
2021-09-15 03:11:50.542888 : Epoch  1, Batch    648, Loss  0.893387, Average Loss  0.887040, Time  0.264780
2021-09-15 03:11:51.036943 : Epoch  3, Batch    258, Loss  0.618955, Average Loss  0.613182, Time  0.231551
2021-09-15 03:11:51.778864 : Epoch  2, Batch    166, Loss  0.645617, Average Loss  0.640105, Time  0.261589
2021-09-15 03:11:52.571179 : Epoch  3, Batch    259, Loss  0.612609, Average Loss  0.613168, Time  0.232066
2021-09-15 03:11:53.459395 : Epoch  2, Batch    167, Loss  0.635975, Average Loss  0.640095, Time  0.258608
2021-09-15 03:11:53.531516 : Epoch  1, Batch    649, Loss  0.898107, Average Loss  0.887174, Time  0.264853
2021-09-15 03:11:54.115358 : Epoch  3, Batch    260, Loss  0.609278, Average Loss  0.613128, Time  0.231269
2021-09-15 03:11:55.130917 : Epoch  2, Batch    168, Loss  0.632540, Average Loss  0.640052, Time  0.256881
2021-09-15 03:11:55.664177 : Epoch  3, Batch    261, Loss  0.620163, Average Loss  0.613171, Time  0.231413
2021-09-15 03:11:56.531302 : Epoch  1, Batch    650, Loss  0.897307, Average Loss  0.887268, Time  0.264820
2021-09-15 03:11:56.820912 : Epoch  2, Batch    169, Loss  0.637724, Average Loss  0.640040, Time  0.259660
2021-09-15 03:11:57.195390 : Epoch  3, Batch    262, Loss  0.616017, Average Loss  0.613151, Time  0.231128
2021-09-15 03:11:58.505492 : Epoch  2, Batch    170, Loss  0.642190, Average Loss  0.640096, Time  0.258415
2021-09-15 03:11:58.739876 : Epoch  3, Batch    263, Loss  0.622924, Average Loss  0.613196, Time  0.232156
2021-09-15 03:11:59.547518 : Epoch  1, Batch    651, Loss  0.902400, Average Loss  0.887435, Time  0.264793
2021-09-15 03:12:00.186820 : Epoch  2, Batch    171, Loss  0.638145, Average Loss  0.640093, Time  0.257149
2021-09-15 03:12:00.275369 : Epoch  3, Batch    264, Loss  0.612871, Average Loss  0.613134, Time  0.231870
2021-09-15 03:12:01.707223 : Epoch  2, Batch    172, Loss  0.648516, Average Loss  0.640153, Time  0.239070
2021-09-15 03:12:01.823200 : Epoch  3, Batch    265, Loss  0.625568, Average Loss  0.613221, Time  0.232549
2021-09-15 03:12:02.541487 : Epoch  1, Batch    652, Loss  0.887781, Average Loss  0.887416, Time  0.266232
2021-09-15 03:12:03.246178 : Epoch  2, Batch    173, Loss  0.643297, Average Loss  0.640181, Time  0.240571
2021-09-15 03:12:03.363894 : Epoch  3, Batch    266, Loss  0.608251, Average Loss  0.613206, Time  0.231715
2021-09-15 03:12:04.793158 : Epoch  2, Batch    174, Loss  0.635006, Average Loss  0.640111, Time  0.239954
2021-09-15 03:12:04.904379 : Epoch  3, Batch    267, Loss  0.606631, Average Loss  0.613168, Time  0.236728
2021-09-15 03:12:05.538030 : Epoch  1, Batch    653, Loss  0.874972, Average Loss  0.887381, Time  0.264578
2021-09-15 03:12:06.315249 : Epoch  2, Batch    175, Loss  0.644870, Average Loss  0.640069, Time  0.237397
2021-09-15 03:12:06.440033 : Epoch  3, Batch    268, Loss  0.620914, Average Loss  0.613226, Time  0.232387
2021-09-15 03:12:07.979150 : Epoch  3, Batch    269, Loss  0.614375, Average Loss  0.613223, Time  0.232304
2021-09-15 03:12:08.008975 : Epoch  2, Batch    176, Loss  0.638468, Average Loss  0.640077, Time  0.257289
2021-09-15 03:12:08.527009 : Epoch  1, Batch    654, Loss  0.879789, Average Loss  0.887389, Time  0.265683
2021-09-15 03:12:09.518330 : Epoch  3, Batch    270, Loss  0.612767, Average Loss  0.613230, Time  0.231498
2021-09-15 03:12:09.705472 : Epoch  2, Batch    177, Loss  0.637706, Average Loss  0.640085, Time  0.260785
2021-09-15 03:12:11.051256 : Epoch  3, Batch    271, Loss  0.606842, Average Loss  0.613195, Time  0.230829
2021-09-15 03:12:11.381616 : Epoch  2, Batch    178, Loss  0.637838, Average Loss  0.640062, Time  0.259559
2021-09-15 03:12:11.522387 : Epoch  1, Batch    655, Loss  0.889603, Average Loss  0.887365, Time  0.265938
2021-09-15 03:12:12.599678 : Epoch  3, Batch    272, Loss  0.598980, Average Loss  0.613110, Time  0.231472
2021-09-15 03:12:13.048815 : Epoch  2, Batch    179, Loss  0.644653, Average Loss  0.640130, Time  0.257377
2021-09-15 03:12:14.138557 : Epoch  3, Batch    273, Loss  0.617802, Average Loss  0.613141, Time  0.231736
2021-09-15 03:12:14.505809 : Epoch  1, Batch    656, Loss  0.900274, Average Loss  0.887355, Time  0.264540
2021-09-15 03:12:14.589450 : Epoch  2, Batch    180, Loss  0.643441, Average Loss  0.640123, Time  0.238839
2021-09-15 03:12:15.692063 : Epoch  3, Batch    274, Loss  0.619084, Average Loss  0.613182, Time  0.231861
2021-09-15 03:12:16.125141 : Epoch  2, Batch    181, Loss  0.641447, Average Loss  0.640082, Time  0.240854
2021-09-15 03:12:17.235249 : Epoch  3, Batch    275, Loss  0.611220, Average Loss  0.613224, Time  0.232241
2021-09-15 03:12:17.506141 : Epoch  1, Batch    657, Loss  0.888139, Average Loss  0.887307, Time  0.275038
2021-09-15 03:12:17.649367 : Epoch  2, Batch    182, Loss  0.639257, Average Loss  0.640097, Time  0.239974
2021-09-15 03:12:18.782349 : Epoch  3, Batch    276, Loss  0.606776, Average Loss  0.613214, Time  0.231529
2021-09-15 03:12:19.173819 : Epoch  2, Batch    183, Loss  0.638397, Average Loss  0.640031, Time  0.240430
2021-09-15 03:12:20.333102 : Epoch  3, Batch    277, Loss  0.623092, Average Loss  0.613260, Time  0.231671
2021-09-15 03:12:20.495732 : Epoch  1, Batch    658, Loss  0.864392, Average Loss  0.887213, Time  0.264803
2021-09-15 03:12:21.873614 : Epoch  3, Batch    278, Loss  0.620214, Average Loss  0.613310, Time  0.231232
2021-09-15 03:12:23.291912 : Epoch  2, Batch    184, Loss  0.641741, Average Loss  0.640032, Time  0.274012
2021-09-15 03:12:23.425379 : Epoch  3, Batch    279, Loss  0.607132, Average Loss  0.613240, Time  0.233305
2021-09-15 03:12:23.492449 : Epoch  1, Batch    659, Loss  0.892013, Average Loss  0.887166, Time  0.266444
2021-09-15 03:12:24.817073 : Epoch  2, Batch    185, Loss  0.641105, Average Loss  0.640069, Time  0.239596
2021-09-15 03:12:24.969957 : Epoch  3, Batch    280, Loss  0.602500, Average Loss  0.613231, Time  0.231864
2021-09-15 03:12:26.331355 : Epoch  2, Batch    186, Loss  0.649327, Average Loss  0.640092, Time  0.238814
2021-09-15 03:12:26.485992 : Epoch  1, Batch    660, Loss  0.897461, Average Loss  0.887157, Time  0.264415
2021-09-15 03:12:26.492871 : Epoch  3, Batch    281, Loss  0.617737, Average Loss  0.613248, Time  0.231102
2021-09-15 03:12:27.869382 : Epoch  2, Batch    187, Loss  0.647743, Average Loss  0.640085, Time  0.239703
2021-09-15 03:12:28.043996 : Epoch  3, Batch    282, Loss  0.618501, Average Loss  0.613221, Time  0.232157
2021-09-15 03:12:29.413980 : Epoch  2, Batch    188, Loss  0.654429, Average Loss  0.640203, Time  0.239918
2021-09-15 03:12:29.490910 : Epoch  1, Batch    661, Loss  0.892099, Average Loss  0.887162, Time  0.266278
2021-09-15 03:12:29.583742 : Epoch  3, Batch    283, Loss  0.616523, Average Loss  0.613227, Time  0.231921
2021-09-15 03:12:30.939047 : Epoch  2, Batch    189, Loss  0.633717, Average Loss  0.640140, Time  0.237900
2021-09-15 03:12:31.126034 : Epoch  3, Batch    284, Loss  0.617329, Average Loss  0.613248, Time  0.231623
2021-09-15 03:12:32.464051 : Epoch  2, Batch    190, Loss  0.636957, Average Loss  0.640119, Time  0.240165
2021-09-15 03:12:32.526928 : Epoch  1, Batch    662, Loss  0.871346, Average Loss  0.887162, Time  0.264373
2021-09-15 03:12:32.666488 : Epoch  3, Batch    285, Loss  0.606703, Average Loss  0.613204, Time  0.231820
2021-09-15 03:12:34.004132 : Epoch  2, Batch    191, Loss  0.636736, Average Loss  0.640089, Time  0.241347
2021-09-15 03:12:34.213239 : Epoch  3, Batch    286, Loss  0.620162, Average Loss  0.613193, Time  0.231243
2021-09-15 03:12:35.505521 : Epoch  1, Batch    663, Loss  0.884647, Average Loss  0.887217, Time  0.265414
2021-09-15 03:12:35.543093 : Epoch  2, Batch    192, Loss  0.639988, Average Loss  0.640068, Time  0.241545
2021-09-15 03:12:35.745162 : Epoch  3, Batch    287, Loss  0.601700, Average Loss  0.613110, Time  0.231266
2021-09-15 03:12:37.084447 : Epoch  2, Batch    193, Loss  0.632464, Average Loss  0.639975, Time  0.255305
2021-09-15 03:12:37.283384 : Epoch  3, Batch    288, Loss  0.614531, Average Loss  0.613136, Time  0.231296
2021-09-15 03:12:38.492031 : Epoch  1, Batch    664, Loss  0.879908, Average Loss  0.887207, Time  0.265514
2021-09-15 03:12:38.763961 : Epoch  2, Batch    194, Loss  0.647770, Average Loss  0.639949, Time  0.258164
2021-09-15 03:12:38.818411 : Epoch  3, Batch    289, Loss  0.602750, Average Loss  0.613099, Time  0.231084
2021-09-15 03:12:40.312481 : Epoch  2, Batch    195, Loss  0.643745, Average Loss  0.639914, Time  0.241850
2021-09-15 03:12:40.356311 : Epoch  3, Batch    290, Loss  0.617777, Average Loss  0.613135, Time  0.231389
2021-09-15 03:12:41.493894 : Epoch  1, Batch    665, Loss  0.879071, Average Loss  0.887181, Time  0.264684
2021-09-15 03:12:41.846498 : Epoch  2, Batch    196, Loss  0.641908, Average Loss  0.639940, Time  0.241312
2021-09-15 03:12:41.899331 : Epoch  3, Batch    291, Loss  0.617895, Average Loss  0.613137, Time  0.232019
2021-09-15 03:12:43.399949 : Epoch  2, Batch    197, Loss  0.626622, Average Loss  0.639889, Time  0.257007
2021-09-15 03:12:43.431228 : Epoch  3, Batch    292, Loss  0.607414, Average Loss  0.613143, Time  0.231285
2021-09-15 03:12:44.473076 : Epoch  1, Batch    666, Loss  0.867392, Average Loss  0.886970, Time  0.264484
2021-09-15 03:12:44.949655 : Epoch  2, Batch    198, Loss  0.637518, Average Loss  0.639854, Time  0.239617
2021-09-15 03:12:44.977325 : Epoch  3, Batch    293, Loss  0.607003, Average Loss  0.613142, Time  0.231303
2021-09-15 03:12:46.515126 : Epoch  3, Batch    294, Loss  0.613442, Average Loss  0.613113, Time  0.231235
2021-09-15 03:12:46.639424 : Epoch  2, Batch    199, Loss  0.636835, Average Loss  0.639783, Time  0.258884
2021-09-15 03:12:47.472903 : Epoch  1, Batch    667, Loss  0.879292, Average Loss  0.886892, Time  0.264993
2021-09-15 03:12:48.052383 : Epoch  3, Batch    295, Loss  0.607101, Average Loss  0.613016, Time  0.231351
2021-09-15 03:12:48.167874 : Epoch  2, Batch    200, Loss  0.626403, Average Loss  0.639703, Time  0.238997
2021-09-15 03:12:49.589596 : Epoch  3, Batch    296, Loss  0.616219, Average Loss  0.613054, Time  0.231083
2021-09-15 03:12:49.692432 : Epoch  2, Batch    201, Loss  0.637078, Average Loss  0.639687, Time  0.239943
2021-09-15 03:12:50.459941 : Epoch  1, Batch    668, Loss  0.896238, Average Loss  0.886915, Time  0.265420
2021-09-15 03:12:51.228064 : Epoch  2, Batch    202, Loss  0.630566, Average Loss  0.639609, Time  0.241414
2021-09-15 03:12:52.896886 : Epoch  2, Batch    203, Loss  0.638494, Average Loss  0.639597, Time  0.238221
2021-09-15 03:12:53.448908 : Epoch  1, Batch    669, Loss  0.876458, Average Loss  0.886866, Time  0.264407
2021-09-15 03:12:53.495661 : Epoch  3, Batch    297, Loss  0.599106, Average Loss  0.613013, Time  0.266269
2021-09-15 03:12:54.446131 : Epoch  2, Batch    204, Loss  0.636503, Average Loss  0.639576, Time  0.242137
2021-09-15 03:12:55.027505 : Epoch  3, Batch    298, Loss  0.616708, Average Loss  0.613005, Time  0.232206
2021-09-15 03:12:55.976243 : Epoch  2, Batch    205, Loss  0.642784, Average Loss  0.639592, Time  0.238716
2021-09-15 03:12:56.434143 : Epoch  1, Batch    670, Loss  0.904233, Average Loss  0.886909, Time  0.264547
2021-09-15 03:12:56.562045 : Epoch  3, Batch    299, Loss  0.614083, Average Loss  0.612985, Time  0.233057
2021-09-15 03:12:57.529060 : Epoch  2, Batch    206, Loss  0.639805, Average Loss  0.639581, Time  0.240084
2021-09-15 03:12:58.104198 : Epoch  3, Batch    300, Loss  0.619420, Average Loss  0.613002, Time  0.231420
2021-09-15 03:12:59.067362 : Epoch  2, Batch    207, Loss  0.623230, Average Loss  0.639477, Time  0.241198
2021-09-15 03:12:59.395877 : Epoch  1, Batch    671, Loss  0.865075, Average Loss  0.886636, Time  0.264777
2021-09-15 03:12:59.647121 : Epoch  3, Batch    301, Loss  0.607565, Average Loss  0.612971, Time  0.231396
2021-09-15 03:13:00.613156 : Epoch  2, Batch    208, Loss  0.626643, Average Loss  0.639402, Time  0.239195
2021-09-15 03:13:01.190227 : Epoch  3, Batch    302, Loss  0.617147, Average Loss  0.612948, Time  0.232237
2021-09-15 03:13:02.138764 : Epoch  2, Batch    209, Loss  0.630557, Average Loss  0.639377, Time  0.237776
2021-09-15 03:13:02.385434 : Epoch  1, Batch    672, Loss  0.868648, Average Loss  0.886527, Time  0.276395
2021-09-15 03:13:02.734952 : Epoch  3, Batch    303, Loss  0.616147, Average Loss  0.612896, Time  0.231236
2021-09-15 03:13:03.683949 : Epoch  2, Batch    210, Loss  0.639699, Average Loss  0.639367, Time  0.242046
2021-09-15 03:13:04.267797 : Epoch  3, Batch    304, Loss  0.621714, Average Loss  0.612935, Time  0.231217
2021-09-15 03:13:05.215972 : Epoch  2, Batch    211, Loss  0.644028, Average Loss  0.639404, Time  0.238987
2021-09-15 03:13:05.379851 : Epoch  1, Batch    673, Loss  0.907501, Average Loss  0.886585, Time  0.265832
2021-09-15 03:13:05.809994 : Epoch  3, Batch    305, Loss  0.604046, Average Loss  0.612842, Time  0.231261
2021-09-15 03:13:06.772320 : Epoch  2, Batch    212, Loss  0.636990, Average Loss  0.639389, Time  0.246892
2021-09-15 03:13:07.337915 : Epoch  3, Batch    306, Loss  0.621937, Average Loss  0.612890, Time  0.231193
2021-09-15 03:13:08.371977 : Epoch  1, Batch    674, Loss  0.877163, Average Loss  0.886654, Time  0.263914
2021-09-15 03:13:08.877257 : Epoch  3, Batch    307, Loss  0.616303, Average Loss  0.612897, Time  0.231232
2021-09-15 03:13:10.425640 : Epoch  3, Batch    308, Loss  0.611098, Average Loss  0.612851, Time  0.231372
2021-09-15 03:13:11.007451 : Epoch  2, Batch    213, Loss  0.638342, Average Loss  0.639382, Time  0.272016
2021-09-15 03:13:11.354694 : Epoch  1, Batch    675, Loss  0.887340, Average Loss  0.886618, Time  0.265419
2021-09-15 03:13:11.973005 : Epoch  3, Batch    309, Loss  0.609251, Average Loss  0.612831, Time  0.231896
2021-09-15 03:13:13.514041 : Epoch  3, Batch    310, Loss  0.611301, Average Loss  0.612862, Time  0.231569
2021-09-15 03:13:14.361428 : Epoch  1, Batch    676, Loss  0.901410, Average Loss  0.886546, Time  0.264999
2021-09-15 03:13:15.066041 : Epoch  3, Batch    311, Loss  0.617717, Average Loss  0.612845, Time  0.231225
2021-09-15 03:13:16.607156 : Epoch  3, Batch    312, Loss  0.601814, Average Loss  0.612798, Time  0.231318
2021-09-15 03:13:17.349733 : Epoch  1, Batch    677, Loss  0.872846, Average Loss  0.886488, Time  0.265666
2021-09-15 03:13:18.160073 : Epoch  3, Batch    313, Loss  0.625735, Average Loss  0.612801, Time  0.232247
2021-09-15 03:13:19.703021 : Epoch  3, Batch    314, Loss  0.614259, Average Loss  0.612824, Time  0.231349
2021-09-15 03:13:20.339672 : Epoch  1, Batch    678, Loss  0.894185, Average Loss  0.886487, Time  0.264402
2021-09-15 03:13:21.253389 : Epoch  3, Batch    315, Loss  0.618476, Average Loss  0.612811, Time  0.231347
2021-09-15 03:13:22.800989 : Epoch  3, Batch    316, Loss  0.603327, Average Loss  0.612779, Time  0.231784
2021-09-15 03:13:23.346952 : Epoch  1, Batch    679, Loss  0.873663, Average Loss  0.886471, Time  0.267001
2021-09-15 03:13:24.345602 : Epoch  3, Batch    317, Loss  0.622106, Average Loss  0.612815, Time  0.231326
2021-09-15 03:13:25.887058 : Epoch  3, Batch    318, Loss  0.619856, Average Loss  0.612824, Time  0.231427
2021-09-15 03:13:26.370286 : Epoch  1, Batch    680, Loss  0.894243, Average Loss  0.886497, Time  0.266770
2021-09-15 03:13:27.431442 : Epoch  3, Batch    319, Loss  0.611471, Average Loss  0.612841, Time  0.232481
2021-09-15 03:13:28.973491 : Epoch  3, Batch    320, Loss  0.616722, Average Loss  0.612863, Time  0.231024
2021-09-15 03:13:29.367937 : Epoch  1, Batch    681, Loss  0.893170, Average Loss  0.886499, Time  0.265054
2021-09-15 03:13:30.524398 : Epoch  3, Batch    321, Loss  0.612318, Average Loss  0.612868, Time  0.232155
2021-09-15 03:13:32.081634 : Epoch  3, Batch    322, Loss  0.614121, Average Loss  0.612871, Time  0.231116
2021-09-15 03:13:32.376326 : Epoch  1, Batch    682, Loss  0.867269, Average Loss  0.886391, Time  0.265456
2021-09-15 03:13:33.615975 : Epoch  3, Batch    323, Loss  0.608461, Average Loss  0.612870, Time  0.230928
2021-09-15 03:13:35.155205 : Epoch  3, Batch    324, Loss  0.609745, Average Loss  0.612924, Time  0.231086
2021-09-15 03:13:35.374371 : Epoch  1, Batch    683, Loss  0.870973, Average Loss  0.886224, Time  0.265034
2021-09-15 03:13:36.695448 : Epoch  3, Batch    325, Loss  0.617156, Average Loss  0.612947, Time  0.230976
2021-09-15 03:13:38.227328 : Epoch  3, Batch    326, Loss  0.624060, Average Loss  0.612951, Time  0.230603
2021-09-15 03:13:38.363939 : Epoch  1, Batch    684, Loss  0.887680, Average Loss  0.886211, Time  0.265667
2021-09-15 03:13:41.354826 : Epoch  1, Batch    685, Loss  0.869228, Average Loss  0.886104, Time  0.265334
2021-09-15 03:13:44.381853 : Epoch  1, Batch    686, Loss  0.884150, Average Loss  0.886083, Time  0.265357
2021-09-15 03:13:47.408389 : Epoch  1, Batch    687, Loss  0.892607, Average Loss  0.886093, Time  0.274624
2021-09-15 03:13:50.403248 : Epoch  1, Batch    688, Loss  0.879237, Average Loss  0.886072, Time  0.266021
2021-09-15 03:13:53.405814 : Epoch  1, Batch    689, Loss  0.874245, Average Loss  0.886068, Time  0.265116
2021-09-15 03:13:56.395619 : Epoch  1, Batch    690, Loss  0.873897, Average Loss  0.886038, Time  0.264465
2021-09-15 03:13:59.386924 : Epoch  1, Batch    691, Loss  0.863765, Average Loss  0.885945, Time  0.265442
2021-09-15 03:14:02.422417 : Epoch  1, Batch    692, Loss  0.894107, Average Loss  0.885877, Time  0.265281
2021-09-15 03:14:05.412692 : Epoch  1, Batch    693, Loss  0.877749, Average Loss  0.885813, Time  0.264628
2021-09-15 03:14:07.530910 : CheckPoint: Validation Loss  0.00026734, Best Loss  0.00026191
2021-09-15 03:14:08.377526 : Epoch  1, Batch    694, Loss  0.878812, Average Loss  0.885749, Time  0.265911
2021-09-15 03:14:09.059971 : Epoch  2, Batch    214, Loss  0.643729, Average Loss  0.639341, Time  0.240867
2021-09-15 03:14:10.578315 : Epoch  2, Batch    215, Loss  0.640935, Average Loss  0.639346, Time  0.237836
2021-09-15 03:14:11.397655 : Epoch  1, Batch    695, Loss  0.906519, Average Loss  0.885893, Time  0.264468
2021-09-15 03:14:12.109807 : Epoch  2, Batch    216, Loss  0.636730, Average Loss  0.639299, Time  0.239424
2021-09-15 03:14:13.703035 : Epoch  2, Batch    217, Loss  0.628593, Average Loss  0.639189, Time  0.238172
2021-09-15 03:14:14.389884 : Epoch  1, Batch    696, Loss  0.883495, Average Loss  0.885826, Time  0.265876
2021-09-15 03:14:15.241874 : Epoch  2, Batch    218, Loss  0.637211, Average Loss  0.639977, Time  0.240085
2021-09-15 03:14:16.783033 : Epoch  2, Batch    219, Loss  0.631585, Average Loss  0.639921, Time  0.240855
2021-09-15 03:14:17.383783 : Epoch  1, Batch    697, Loss  0.873587, Average Loss  0.885880, Time  0.265018
2021-09-15 03:14:18.314878 : Epoch  2, Batch    220, Loss  0.634175, Average Loss  0.639885, Time  0.241828
2021-09-15 03:14:19.841360 : Epoch  2, Batch    221, Loss  0.633844, Average Loss  0.639888, Time  0.240913
2021-09-15 03:14:20.400426 : Epoch  1, Batch    698, Loss  0.864750, Average Loss  0.885675, Time  0.265558
2021-09-15 03:14:21.367782 : Epoch  2, Batch    222, Loss  0.631153, Average Loss  0.639822, Time  0.240838
2021-09-15 03:14:22.895382 : Epoch  2, Batch    223, Loss  0.639943, Average Loss  0.639783, Time  0.239467
2021-09-15 03:14:23.403472 : Epoch  1, Batch    699, Loss  0.882127, Average Loss  0.885627, Time  0.265874
2021-09-15 03:14:24.416377 : Epoch  2, Batch    224, Loss  0.641221, Average Loss  0.639763, Time  0.239286
2021-09-15 03:14:25.938348 : Epoch  2, Batch    225, Loss  0.621585, Average Loss  0.639721, Time  0.237761
2021-09-15 03:14:26.386101 : Epoch  1, Batch    700, Loss  0.877044, Average Loss  0.885546, Time  0.264791
2021-09-15 03:14:27.498011 : Epoch  2, Batch    226, Loss  0.632590, Average Loss  0.639652, Time  0.240126
2021-09-15 03:14:29.025955 : Epoch  2, Batch    227, Loss  0.636514, Average Loss  0.639639, Time  0.239043
2021-09-15 03:14:30.546374 : Epoch  2, Batch    228, Loss  0.635825, Average Loss  0.639595, Time  0.240280
2021-09-15 03:14:32.106507 : Epoch  2, Batch    229, Loss  0.632217, Average Loss  0.639530, Time  0.257900
2021-09-15 03:14:33.623286 : Epoch  2, Batch    230, Loss  0.634208, Average Loss  0.639473, Time  0.238161
2021-09-15 03:14:35.137500 : Epoch  2, Batch    231, Loss  0.626280, Average Loss  0.639416, Time  0.238512
2021-09-15 03:14:36.059727 : CheckPoint: Validation Loss  0.00025233, Best Loss  0.00025184
2021-09-15 03:14:36.681052 : Epoch  2, Batch    232, Loss  0.628055, Average Loss  0.639338, Time  0.240117
2021-09-15 03:14:37.604117 : Epoch  3, Batch    327, Loss  0.612222, Average Loss  0.612924, Time  0.231830
2021-09-15 03:14:38.210338 : Epoch  2, Batch    233, Loss  0.639601, Average Loss  0.639337, Time  0.240574
2021-09-15 03:14:39.154154 : Epoch  3, Batch    328, Loss  0.608457, Average Loss  0.612925, Time  0.231338
2021-09-15 03:14:39.729040 : Epoch  2, Batch    234, Loss  0.644231, Average Loss  0.639320, Time  0.238834
2021-09-15 03:14:40.707249 : Epoch  3, Batch    329, Loss  0.608556, Average Loss  0.612866, Time  0.231521
2021-09-15 03:14:41.272038 : Epoch  2, Batch    235, Loss  0.634702, Average Loss  0.639231, Time  0.241997
2021-09-15 03:14:42.250985 : Epoch  3, Batch    330, Loss  0.615067, Average Loss  0.612917, Time  0.231288
2021-09-15 03:14:42.812898 : Epoch  2, Batch    236, Loss  0.647284, Average Loss  0.639254, Time  0.239783
2021-09-15 03:14:43.795429 : Epoch  3, Batch    331, Loss  0.611091, Average Loss  0.612900, Time  0.230978
2021-09-15 03:14:44.351201 : Epoch  2, Batch    237, Loss  0.636450, Average Loss  0.639223, Time  0.240611
2021-09-15 03:14:45.339311 : Epoch  3, Batch    332, Loss  0.617157, Average Loss  0.612910, Time  0.231588
2021-09-15 03:14:45.880827 : Epoch  2, Batch    238, Loss  0.643586, Average Loss  0.639264, Time  0.240249
2021-09-15 03:14:46.889570 : Epoch  3, Batch    333, Loss  0.615725, Average Loss  0.612959, Time  0.231373
2021-09-15 03:14:47.424364 : Epoch  2, Batch    239, Loss  0.623362, Average Loss  0.639197, Time  0.241684
2021-09-15 03:14:48.439696 : Epoch  3, Batch    334, Loss  0.617775, Average Loss  0.613037, Time  0.231741
2021-09-15 03:14:48.964981 : Epoch  2, Batch    240, Loss  0.634241, Average Loss  0.639183, Time  0.239516
2021-09-15 03:14:49.995980 : Epoch  3, Batch    335, Loss  0.618643, Average Loss  0.613060, Time  0.231503
2021-09-15 03:14:50.498949 : Epoch  2, Batch    241, Loss  0.629026, Average Loss  0.639171, Time  0.239072
2021-09-15 03:14:51.545882 : Epoch  3, Batch    336, Loss  0.612886, Average Loss  0.613053, Time  0.231363
2021-09-15 03:14:52.019774 : Epoch  2, Batch    242, Loss  0.627913, Average Loss  0.639144, Time  0.239587
2021-09-15 03:14:53.096935 : Epoch  3, Batch    337, Loss  0.594529, Average Loss  0.612992, Time  0.231087
2021-09-15 03:14:53.542404 : Epoch  2, Batch    243, Loss  0.634666, Average Loss  0.639116, Time  0.240645
2021-09-15 03:14:54.637053 : Epoch  3, Batch    338, Loss  0.616266, Average Loss  0.613044, Time  0.232941
2021-09-15 03:14:55.068843 : Epoch  2, Batch    244, Loss  0.625814, Average Loss  0.639025, Time  0.241968
2021-09-15 03:14:56.176072 : Epoch  3, Batch    339, Loss  0.610922, Average Loss  0.613004, Time  0.232360
2021-09-15 03:14:56.577071 : Epoch  2, Batch    245, Loss  0.639615, Average Loss  0.638973, Time  0.238740
2021-09-15 03:14:57.720945 : Epoch  3, Batch    340, Loss  0.610705, Average Loss  0.613006, Time  0.231523
2021-09-15 03:14:58.087383 : Epoch  2, Batch    246, Loss  0.628325, Average Loss  0.638938, Time  0.239436
2021-09-15 03:14:59.298393 : Epoch  3, Batch    341, Loss  0.604480, Average Loss  0.613020, Time  0.232659
2021-09-15 03:14:59.768857 : Epoch  2, Batch    247, Loss  0.623180, Average Loss  0.638853, Time  0.259664
2021-09-15 03:15:00.840332 : Epoch  3, Batch    342, Loss  0.607845, Average Loss  0.612950, Time  0.232371
2021-09-15 03:15:01.445185 : Epoch  2, Batch    248, Loss  0.640456, Average Loss  0.638898, Time  0.258600
2021-09-15 03:15:02.389104 : Epoch  3, Batch    343, Loss  0.608431, Average Loss  0.612919, Time  0.232477
2021-09-15 03:15:03.123863 : Epoch  2, Batch    249, Loss  0.623842, Average Loss  0.638808, Time  0.258964
2021-09-15 03:15:03.930957 : Epoch  3, Batch    344, Loss  0.612311, Average Loss  0.612937, Time  0.231602
2021-09-15 03:15:04.806812 : Epoch  2, Batch    250, Loss  0.636911, Average Loss  0.638812, Time  0.257866
2021-09-15 03:15:05.486292 : Epoch  3, Batch    345, Loss  0.597650, Average Loss  0.612876, Time  0.232194
2021-09-15 03:15:06.507187 : Epoch  2, Batch    251, Loss  0.627972, Average Loss  0.638787, Time  0.261677
2021-09-15 03:15:07.036793 : Epoch  3, Batch    346, Loss  0.611770, Average Loss  0.612934, Time  0.231920
2021-09-15 03:15:08.034868 : Epoch  2, Batch    252, Loss  0.627280, Average Loss  0.638704, Time  0.238082
2021-09-15 03:15:08.581258 : Epoch  3, Batch    347, Loss  0.602835, Average Loss  0.612866, Time  0.231279
2021-09-15 03:15:09.562964 : Epoch  2, Batch    253, Loss  0.625735, Average Loss  0.638621, Time  0.238065
2021-09-15 03:15:10.133137 : Epoch  3, Batch    348, Loss  0.608887, Average Loss  0.612830, Time  0.233748
2021-09-15 03:15:11.102827 : Epoch  2, Batch    254, Loss  0.630571, Average Loss  0.638583, Time  0.239706
2021-09-15 03:15:11.685784 : Epoch  3, Batch    349, Loss  0.606548, Average Loss  0.612822, Time  0.231065
2021-09-15 03:15:12.637859 : Epoch  2, Batch    255, Loss  0.629903, Average Loss  0.638558, Time  0.240491
2021-09-15 03:15:13.239778 : Epoch  3, Batch    350, Loss  0.615875, Average Loss  0.612850, Time  0.232070
2021-09-15 03:15:14.156104 : Epoch  2, Batch    256, Loss  0.632335, Average Loss  0.638456, Time  0.237776
2021-09-15 03:15:14.787170 : Epoch  3, Batch    351, Loss  0.614469, Average Loss  0.612852, Time  0.231406
2021-09-15 03:15:15.675949 : Epoch  2, Batch    257, Loss  0.636363, Average Loss  0.638411, Time  0.238425
2021-09-15 03:15:16.334417 : Epoch  3, Batch    352, Loss  0.620801, Average Loss  0.612882, Time  0.231162
2021-09-15 03:15:17.236437 : Epoch  2, Batch    258, Loss  0.636790, Average Loss  0.638386, Time  0.243035
2021-09-15 03:15:17.883448 : Epoch  3, Batch    353, Loss  0.610807, Average Loss  0.612846, Time  0.231159
2021-09-15 03:15:18.774787 : Epoch  2, Batch    259, Loss  0.636197, Average Loss  0.638348, Time  0.238453
2021-09-15 03:15:19.423678 : Epoch  3, Batch    354, Loss  0.602565, Average Loss  0.612810, Time  0.231262
2021-09-15 03:15:20.304927 : Epoch  2, Batch    260, Loss  0.621341, Average Loss  0.638276, Time  0.238348
2021-09-15 03:15:20.973349 : Epoch  3, Batch    355, Loss  0.615227, Average Loss  0.612849, Time  0.231332
2021-09-15 03:15:21.841414 : Epoch  2, Batch    261, Loss  0.627438, Average Loss  0.638206, Time  0.241798
2021-09-15 03:15:22.534405 : Epoch  3, Batch    356, Loss  0.613237, Average Loss  0.612791, Time  0.231289
2021-09-15 03:15:23.381364 : Epoch  2, Batch    262, Loss  0.636455, Average Loss  0.638187, Time  0.238463
2021-09-15 03:15:24.082160 : Epoch  3, Batch    357, Loss  0.609033, Average Loss  0.612753, Time  0.231034
2021-09-15 03:15:24.918921 : Epoch  2, Batch    263, Loss  0.625250, Average Loss  0.638100, Time  0.240096
2021-09-15 03:15:25.630275 : Epoch  3, Batch    358, Loss  0.612064, Average Loss  0.612762, Time  0.231719
2021-09-15 03:15:26.448910 : Epoch  2, Batch    264, Loss  0.634912, Average Loss  0.638091, Time  0.239569
2021-09-15 03:15:27.168328 : Epoch  3, Batch    359, Loss  0.599899, Average Loss  0.612677, Time  0.232227
2021-09-15 03:15:27.977124 : Epoch  2, Batch    265, Loss  0.629116, Average Loss  0.638029, Time  0.238495
2021-09-15 03:15:28.713279 : Epoch  3, Batch    360, Loss  0.615371, Average Loss  0.612685, Time  0.231625
2021-09-15 03:15:29.513869 : Epoch  2, Batch    266, Loss  0.615973, Average Loss  0.637959, Time  0.240041
2021-09-15 03:15:30.260172 : Epoch  3, Batch    361, Loss  0.613887, Average Loss  0.612678, Time  0.232018
2021-09-15 03:15:31.051252 : Epoch  2, Batch    267, Loss  0.636693, Average Loss  0.637924, Time  0.242392
2021-09-15 03:15:31.809047 : Epoch  3, Batch    362, Loss  0.601405, Average Loss  0.612618, Time  0.231142
2021-09-15 03:15:32.580973 : Epoch  2, Batch    268, Loss  0.625761, Average Loss  0.637872, Time  0.239385
2021-09-15 03:15:33.361979 : Epoch  3, Batch    363, Loss  0.618451, Average Loss  0.612668, Time  0.231169
2021-09-15 03:15:34.120351 : Epoch  2, Batch    269, Loss  0.633389, Average Loss  0.637830, Time  0.241315
2021-09-15 03:15:34.901660 : Epoch  3, Batch    364, Loss  0.607366, Average Loss  0.612589, Time  0.230991
2021-09-15 03:15:35.821887 : Epoch  2, Batch    270, Loss  0.630323, Average Loss  0.637780, Time  0.259924
2021-09-15 03:15:36.453495 : Epoch  3, Batch    365, Loss  0.609510, Average Loss  0.612549, Time  0.231591
2021-09-15 03:15:37.512997 : Epoch  2, Batch    271, Loss  0.620976, Average Loss  0.637724, Time  0.260255
2021-09-15 03:15:38.002373 : Epoch  3, Batch    366, Loss  0.610269, Average Loss  0.612503, Time  0.231047
2021-09-15 03:15:39.070462 : Epoch  2, Batch    272, Loss  0.627650, Average Loss  0.637632, Time  0.241212
2021-09-15 03:15:39.552156 : Epoch  3, Batch    367, Loss  0.612850, Average Loss  0.612506, Time  0.232040
2021-09-15 03:15:40.629006 : Epoch  2, Batch    273, Loss  0.627949, Average Loss  0.637555, Time  0.240136
2021-09-15 03:15:41.097803 : Epoch  3, Batch    368, Loss  0.604648, Average Loss  0.612452, Time  0.230967
2021-09-15 03:15:42.171004 : Epoch  2, Batch    274, Loss  0.626104, Average Loss  0.637491, Time  0.241359
2021-09-15 03:15:42.642006 : Epoch  3, Batch    369, Loss  0.598187, Average Loss  0.612436, Time  0.231468
2021-09-15 03:15:43.717965 : Epoch  2, Batch    275, Loss  0.624930, Average Loss  0.637435, Time  0.239681
2021-09-15 03:15:44.214708 : Epoch  3, Batch    370, Loss  0.618488, Average Loss  0.612479, Time  0.232067
2021-09-15 03:15:45.423274 : Epoch  2, Batch    276, Loss  0.624060, Average Loss  0.637327, Time  0.258410
2021-09-15 03:15:45.772194 : Epoch  3, Batch    371, Loss  0.619713, Average Loss  0.612544, Time  0.231051
2021-09-15 03:15:46.968514 : Epoch  2, Batch    277, Loss  0.628371, Average Loss  0.637259, Time  0.239079
2021-09-15 03:15:47.313233 : Epoch  3, Batch    372, Loss  0.620089, Average Loss  0.612589, Time  0.231436
2021-09-15 03:15:48.666554 : Epoch  2, Batch    278, Loss  0.627698, Average Loss  0.637248, Time  0.261145
2021-09-15 03:15:48.859989 : Epoch  3, Batch    373, Loss  0.597264, Average Loss  0.612541, Time  0.231420
2021-09-15 03:15:50.365161 : Epoch  2, Batch    279, Loss  0.630360, Average Loss  0.637212, Time  0.258466
2021-09-15 03:15:50.408870 : Epoch  3, Batch    374, Loss  0.609559, Average Loss  0.612538, Time  0.231797
2021-09-15 03:15:51.975847 : Epoch  3, Batch    375, Loss  0.609013, Average Loss  0.612557, Time  0.231404
2021-09-15 03:15:52.049781 : Epoch  2, Batch    280, Loss  0.615945, Average Loss  0.637068, Time  0.256721
2021-09-15 03:15:53.520651 : Epoch  3, Batch    376, Loss  0.610105, Average Loss  0.612508, Time  0.232111
2021-09-15 03:15:53.756889 : Epoch  2, Batch    281, Loss  0.629165, Average Loss  0.636999, Time  0.260540
2021-09-15 03:15:55.081625 : Epoch  3, Batch    377, Loss  0.613767, Average Loss  0.612565, Time  0.231148
2021-09-15 03:15:55.416005 : Epoch  2, Batch    282, Loss  0.622614, Average Loss  0.636896, Time  0.238297
2021-09-15 03:15:56.638395 : Epoch  3, Batch    378, Loss  0.614181, Average Loss  0.612564, Time  0.231002
2021-09-15 03:15:56.947468 : Epoch  2, Batch    283, Loss  0.627136, Average Loss  0.636812, Time  0.237634
2021-09-15 03:15:58.187401 : Epoch  3, Batch    379, Loss  0.604856, Average Loss  0.612502, Time  0.231112
2021-09-15 03:15:59.741345 : Epoch  3, Batch    380, Loss  0.610880, Average Loss  0.612508, Time  0.231112
2021-09-15 03:16:01.290843 : Epoch  3, Batch    381, Loss  0.607069, Average Loss  0.612456, Time  0.231195
2021-09-15 03:16:01.416367 : Epoch  2, Batch    284, Loss  0.629221, Average Loss  0.636772, Time  0.286544
2021-09-15 03:16:02.838621 : Epoch  3, Batch    382, Loss  0.612271, Average Loss  0.612452, Time  0.231155
2021-09-15 03:16:02.944262 : Epoch  2, Batch    285, Loss  0.624640, Average Loss  0.636661, Time  0.248107
2021-09-15 03:16:04.386830 : Epoch  3, Batch    383, Loss  0.603951, Average Loss  0.612457, Time  0.230896
2021-09-15 03:16:04.477434 : Epoch  2, Batch    286, Loss  0.619127, Average Loss  0.636572, Time  0.239817
2021-09-15 03:16:05.943643 : Epoch  3, Batch    384, Loss  0.611849, Average Loss  0.612428, Time  0.242551
2021-09-15 03:16:06.013942 : Epoch  2, Batch    287, Loss  0.622208, Average Loss  0.636430, Time  0.241970
2021-09-15 03:16:07.484206 : Epoch  3, Batch    385, Loss  0.618235, Average Loss  0.612408, Time  0.232291
2021-09-15 03:16:07.563082 : Epoch  2, Batch    288, Loss  0.626648, Average Loss  0.636336, Time  0.242019
2021-09-15 03:16:09.034595 : Epoch  3, Batch    386, Loss  0.615372, Average Loss  0.612508, Time  0.231898
2021-09-15 03:16:09.093297 : Epoch  2, Batch    289, Loss  0.634913, Average Loss  0.636295, Time  0.239715
2021-09-15 03:16:10.579126 : Epoch  3, Batch    387, Loss  0.608434, Average Loss  0.612474, Time  0.231261
2021-09-15 03:16:10.624971 : Epoch  2, Batch    290, Loss  0.630449, Average Loss  0.636196, Time  0.238032
2021-09-15 03:16:12.136304 : Epoch  3, Batch    388, Loss  0.607655, Average Loss  0.612392, Time  0.232571
2021-09-15 03:16:12.173437 : Epoch  2, Batch    291, Loss  0.623476, Average Loss  0.636083, Time  0.238749
2021-09-15 03:16:13.686070 : Epoch  3, Batch    389, Loss  0.603829, Average Loss  0.612355, Time  0.232081
2021-09-15 03:16:13.719849 : Epoch  2, Batch    292, Loss  0.633039, Average Loss  0.636044, Time  0.241281
2021-09-15 03:16:15.236886 : Epoch  3, Batch    390, Loss  0.610120, Average Loss  0.612342, Time  0.233033
2021-09-15 03:16:15.321846 : Epoch  2, Batch    293, Loss  0.631168, Average Loss  0.636009, Time  0.239213
2021-09-15 03:16:16.781820 : Epoch  3, Batch    391, Loss  0.610437, Average Loss  0.612361, Time  0.231352
2021-09-15 03:16:16.869073 : Epoch  2, Batch    294, Loss  0.625836, Average Loss  0.635953, Time  0.240430
2021-09-15 03:16:18.323041 : Epoch  3, Batch    392, Loss  0.622315, Average Loss  0.612445, Time  0.231591
2021-09-15 03:16:18.413899 : Epoch  2, Batch    295, Loss  0.625945, Average Loss  0.635914, Time  0.240658
2021-09-15 03:16:19.855701 : Epoch  3, Batch    393, Loss  0.616018, Average Loss  0.612405, Time  0.231170
2021-09-15 03:16:19.958835 : Epoch  2, Batch    296, Loss  0.621876, Average Loss  0.635840, Time  0.241665
2021-09-15 03:16:21.400788 : Epoch  3, Batch    394, Loss  0.611907, Average Loss  0.612409, Time  0.231078
2021-09-15 03:16:21.499043 : Epoch  2, Batch    297, Loss  0.631676, Average Loss  0.635782, Time  0.241940
2021-09-15 03:16:22.947084 : Epoch  3, Batch    395, Loss  0.606303, Average Loss  0.612352, Time  0.232768
2021-09-15 03:16:23.023947 : Epoch  2, Batch    298, Loss  0.626396, Average Loss  0.635726, Time  0.241003
2021-09-15 03:16:24.490598 : Epoch  3, Batch    396, Loss  0.620005, Average Loss  0.612382, Time  0.231241
2021-09-15 03:16:24.567376 : Epoch  2, Batch    299, Loss  0.634641, Average Loss  0.635743, Time  0.241538
2021-09-15 03:16:26.105908 : Epoch  2, Batch    300, Loss  0.630086, Average Loss  0.635711, Time  0.242035
2021-09-15 03:16:27.637870 : Epoch  2, Batch    301, Loss  0.637380, Average Loss  0.635730, Time  0.241176
2021-09-15 03:16:28.372759 : Epoch  3, Batch    397, Loss  0.605913, Average Loss  0.612358, Time  0.272103
2021-09-15 03:16:29.172002 : Epoch  2, Batch    302, Loss  0.624358, Average Loss  0.635636, Time  0.241144
2021-09-15 03:16:29.938943 : Epoch  3, Batch    398, Loss  0.614513, Average Loss  0.612373, Time  0.248164
2021-09-15 03:16:30.700069 : Epoch  2, Batch    303, Loss  0.627297, Average Loss  0.635616, Time  0.239944
2021-09-15 03:16:31.489814 : Epoch  3, Batch    399, Loss  0.603245, Average Loss  0.612258, Time  0.231258
2021-09-15 03:16:32.234359 : Epoch  2, Batch    304, Loss  0.621281, Average Loss  0.635544, Time  0.240970
2021-09-15 03:16:33.025794 : Epoch  3, Batch    400, Loss  0.613698, Average Loss  0.612293, Time  0.231219
2021-09-15 03:16:33.783709 : Epoch  2, Batch    305, Loss  0.624765, Average Loss  0.635439, Time  0.242257
2021-09-15 03:16:34.594288 : Epoch  3, Batch    401, Loss  0.627831, Average Loss  0.612387, Time  0.232355
2021-09-15 03:16:35.312364 : Epoch  2, Batch    306, Loss  0.621799, Average Loss  0.635349, Time  0.236466
2021-09-15 03:16:36.146796 : Epoch  3, Batch    402, Loss  0.598923, Average Loss  0.612358, Time  0.230718
2021-09-15 03:16:36.991793 : Epoch  2, Batch    307, Loss  0.621803, Average Loss  0.635262, Time  0.255923
2021-09-15 03:16:37.697818 : Epoch  3, Batch    403, Loss  0.604935, Average Loss  0.612356, Time  0.230377
2021-09-15 03:16:38.698505 : Epoch  2, Batch    308, Loss  0.616428, Average Loss  0.635130, Time  0.262565
2021-09-15 03:16:39.243296 : Epoch  3, Batch    404, Loss  0.612581, Average Loss  0.612366, Time  0.230607
2021-09-15 03:16:40.392955 : Epoch  2, Batch    309, Loss  0.626102, Average Loss  0.635078, Time  0.261459
2021-09-15 03:16:40.790032 : Epoch  3, Batch    405, Loss  0.605939, Average Loss  0.612268, Time  0.231238
2021-09-15 03:16:42.096033 : Epoch  2, Batch    310, Loss  0.631099, Average Loss  0.635060, Time  0.260822
2021-09-15 03:16:42.334959 : Epoch  3, Batch    406, Loss  0.607624, Average Loss  0.612232, Time  0.231242
2021-09-15 03:16:43.778974 : Epoch  2, Batch    311, Loss  0.619952, Average Loss  0.634929, Time  0.258347
2021-09-15 03:16:43.873070 : Epoch  3, Batch    407, Loss  0.609551, Average Loss  0.612208, Time  0.230537
2021-09-15 03:16:45.420669 : Epoch  3, Batch    408, Loss  0.613243, Average Loss  0.612267, Time  0.232208
2021-09-15 03:16:45.473829 : Epoch  2, Batch    312, Loss  0.622221, Average Loss  0.634818, Time  0.259168
2021-09-15 03:16:46.969326 : Epoch  3, Batch    409, Loss  0.619602, Average Loss  0.612318, Time  0.230981
2021-09-15 03:16:47.166049 : Epoch  2, Batch    313, Loss  0.625096, Average Loss  0.634759, Time  0.259516
2021-09-15 03:16:48.524645 : Epoch  3, Batch    410, Loss  0.625478, Average Loss  0.612405, Time  0.231247
2021-09-15 03:16:50.069156 : Epoch  3, Batch    411, Loss  0.619507, Average Loss  0.612373, Time  0.231496
2021-09-15 03:16:51.619694 : Epoch  3, Batch    412, Loss  0.613403, Average Loss  0.612391, Time  0.233962
2021-09-15 03:16:53.175980 : Epoch  3, Batch    413, Loss  0.618839, Average Loss  0.612471, Time  0.231464
2021-09-15 03:16:54.739267 : Epoch  3, Batch    414, Loss  0.604947, Average Loss  0.612407, Time  0.232105
2021-09-15 03:16:56.302656 : Epoch  3, Batch    415, Loss  0.614303, Average Loss  0.612374, Time  0.231619
2021-09-15 03:16:57.855814 : Epoch  3, Batch    416, Loss  0.610766, Average Loss  0.612297, Time  0.232799
2021-09-15 03:16:59.414268 : Epoch  3, Batch    417, Loss  0.614848, Average Loss  0.612309, Time  0.231977
2021-09-15 03:17:00.975565 : Epoch  3, Batch    418, Loss  0.615491, Average Loss  0.612268, Time  0.231995
2021-09-15 03:17:02.528870 : Epoch  3, Batch    419, Loss  0.624362, Average Loss  0.612372, Time  0.232583
2021-09-15 03:17:04.072285 : Epoch  3, Batch    420, Loss  0.609256, Average Loss  0.612342, Time  0.231715
2021-09-15 03:17:05.605927 : Epoch  3, Batch    421, Loss  0.627669, Average Loss  0.612433, Time  0.231331
2021-09-15 03:17:07.149831 : Epoch  3, Batch    422, Loss  0.615816, Average Loss  0.612476, Time  0.231395
2021-09-15 03:17:08.698179 : Epoch  3, Batch    423, Loss  0.612168, Average Loss  0.612526, Time  0.231708
2021-09-15 03:17:10.243998 : Epoch  3, Batch    424, Loss  0.614495, Average Loss  0.612549, Time  0.231385
2021-09-15 03:17:11.802785 : Epoch  3, Batch    425, Loss  0.615038, Average Loss  0.612562, Time  0.231346
2021-09-15 03:17:15.668891 : Epoch  3, Batch    426, Loss  0.616835, Average Loss  0.612538, Time  0.264895
2021-09-15 03:17:45.223621 : CheckPoint: Validation Loss  0.00026065, Best Loss  0.00026065
2021-09-15 03:17:45.254827 : Best Model Updated
2021-09-15 03:17:47.580565 : Epoch  2, Batch    314, Loss  0.630113, Average Loss  0.634692, Time  0.241103
2021-09-15 03:17:49.124016 : Epoch  2, Batch    315, Loss  0.617961, Average Loss  0.634557, Time  0.242308
2021-09-15 03:17:50.659808 : Epoch  2, Batch    316, Loss  0.612879, Average Loss  0.634417, Time  0.244614
2021-09-15 03:17:52.193422 : Epoch  2, Batch    317, Loss  0.626394, Average Loss  0.634331, Time  0.242876
2021-09-15 03:17:53.739206 : Epoch  2, Batch    318, Loss  0.613414, Average Loss  0.634139, Time  0.240075
2021-09-15 03:17:55.293949 : Epoch  2, Batch    319, Loss  0.621414, Average Loss  0.634085, Time  0.242283
2021-09-15 03:17:56.813886 : Epoch  2, Batch    320, Loss  0.624697, Average Loss  0.634014, Time  0.240400
2021-09-15 03:17:58.349844 : Epoch  2, Batch    321, Loss  0.630282, Average Loss  0.633944, Time  0.240390
2021-09-15 03:17:59.881020 : Epoch  2, Batch    322, Loss  0.611461, Average Loss  0.633803, Time  0.239587
2021-09-15 03:18:01.394858 : Epoch  2, Batch    323, Loss  0.633025, Average Loss  0.633738, Time  0.240135
2021-09-15 03:18:02.913063 : Epoch  2, Batch    324, Loss  0.620704, Average Loss  0.633692, Time  0.241311
2021-09-15 03:18:04.449109 : Epoch  2, Batch    325, Loss  0.624194, Average Loss  0.633609, Time  0.240578
2021-09-15 03:18:05.977814 : Epoch  2, Batch    326, Loss  0.625985, Average Loss  0.633534, Time  0.243266
2021-09-15 03:18:07.514923 : Epoch  2, Batch    327, Loss  0.618316, Average Loss  0.633463, Time  0.241352
2021-09-15 03:18:09.027314 : Epoch  2, Batch    328, Loss  0.621318, Average Loss  0.633361, Time  0.241462
2021-09-15 03:18:10.544826 : Epoch  2, Batch    329, Loss  0.630085, Average Loss  0.633282, Time  0.239378
2021-09-15 03:18:12.062758 : Epoch  2, Batch    330, Loss  0.631647, Average Loss  0.633267, Time  0.239610
2021-09-15 03:18:13.354755 : CheckPoint: Validation Loss  0.00024882, Best Loss  0.00024882
2021-09-15 03:18:13.392606 : Best Model Updated
2021-09-15 03:18:13.575370 : Epoch  2, Batch    331, Loss  0.617500, Average Loss  0.633181, Time  0.240265
2021-09-15 03:18:15.105424 : Epoch  2, Batch    332, Loss  0.628513, Average Loss  0.633140, Time  0.240059
2021-09-15 03:18:15.683252 : Epoch  3, Batch    427, Loss  0.604679, Average Loss  0.612470, Time  0.231649
2021-09-15 03:18:16.653393 : Epoch  2, Batch    333, Loss  0.624547, Average Loss  0.633059, Time  0.241030
2021-09-15 03:18:17.231907 : Epoch  3, Batch    428, Loss  0.604992, Average Loss  0.612436, Time  0.231101
2021-09-15 03:18:18.178741 : Epoch  2, Batch    334, Loss  0.627656, Average Loss  0.632994, Time  0.238544
2021-09-15 03:18:18.791990 : Epoch  3, Batch    429, Loss  0.606868, Average Loss  0.612384, Time  0.231369
2021-09-15 03:18:19.694378 : Epoch  2, Batch    335, Loss  0.621533, Average Loss  0.632862, Time  0.238053
2021-09-15 03:18:20.348638 : Epoch  3, Batch    430, Loss  0.613722, Average Loss  0.612410, Time  0.231238
2021-09-15 03:18:21.214829 : Epoch  2, Batch    336, Loss  0.634175, Average Loss  0.632799, Time  0.239492
2021-09-15 03:18:21.903688 : Epoch  3, Batch    431, Loss  0.614883, Average Loss  0.612446, Time  0.230957
2021-09-15 03:18:22.757585 : Epoch  2, Batch    337, Loss  0.626908, Average Loss  0.632716, Time  0.241195
2021-09-15 03:18:23.466372 : Epoch  3, Batch    432, Loss  0.614891, Average Loss  0.612462, Time  0.231351
2021-09-15 03:18:24.285885 : Epoch  2, Batch    338, Loss  0.628296, Average Loss  0.632651, Time  0.239620
2021-09-15 03:18:25.021638 : Epoch  3, Batch    433, Loss  0.604860, Average Loss  0.612399, Time  0.231075
2021-09-15 03:18:25.806940 : Epoch  2, Batch    339, Loss  0.639299, Average Loss  0.632664, Time  0.238665
2021-09-15 03:18:26.574261 : Epoch  3, Batch    434, Loss  0.609213, Average Loss  0.612344, Time  0.231544
2021-09-15 03:18:27.325806 : Epoch  2, Batch    340, Loss  0.624785, Average Loss  0.632577, Time  0.237642
2021-09-15 03:18:28.129384 : Epoch  3, Batch    435, Loss  0.611211, Average Loss  0.612363, Time  0.231502
2021-09-15 03:18:28.866398 : Epoch  2, Batch    341, Loss  0.618102, Average Loss  0.632452, Time  0.240355
2021-09-15 03:18:29.675296 : Epoch  3, Batch    436, Loss  0.610020, Average Loss  0.612293, Time  0.231493
2021-09-15 03:18:30.399784 : Epoch  2, Batch    342, Loss  0.619760, Average Loss  0.632336, Time  0.238195
2021-09-15 03:18:31.231185 : Epoch  3, Batch    437, Loss  0.617207, Average Loss  0.612300, Time  0.231411
2021-09-15 03:18:31.927846 : Epoch  2, Batch    343, Loss  0.614019, Average Loss  0.632244, Time  0.240599
2021-09-15 03:18:32.783048 : Epoch  3, Batch    438, Loss  0.615595, Average Loss  0.612339, Time  0.231670
2021-09-15 03:18:33.457382 : Epoch  2, Batch    344, Loss  0.621237, Average Loss  0.632146, Time  0.239779
2021-09-15 03:18:34.339077 : Epoch  3, Batch    439, Loss  0.610988, Average Loss  0.612358, Time  0.231335
2021-09-15 03:18:35.010993 : Epoch  2, Batch    345, Loss  0.636606, Average Loss  0.632103, Time  0.241616
2021-09-15 03:18:35.892936 : Epoch  3, Batch    440, Loss  0.613561, Average Loss  0.612354, Time  0.231827
2021-09-15 03:18:36.531941 : Epoch  2, Batch    346, Loss  0.626136, Average Loss  0.631994, Time  0.240377
2021-09-15 03:18:37.449901 : Epoch  3, Batch    441, Loss  0.614116, Average Loss  0.612379, Time  0.233294
2021-09-15 03:18:38.057053 : Epoch  2, Batch    347, Loss  0.619327, Average Loss  0.631925, Time  0.237981
2021-09-15 03:18:38.993089 : Epoch  3, Batch    442, Loss  0.613292, Average Loss  0.612364, Time  0.231323
2021-09-15 03:18:39.592778 : Epoch  2, Batch    348, Loss  0.615861, Average Loss  0.631796, Time  0.242239
2021-09-15 03:18:40.547657 : Epoch  3, Batch    443, Loss  0.609600, Average Loss  0.612276, Time  0.231707
2021-09-15 03:18:41.122356 : Epoch  2, Batch    349, Loss  0.620917, Average Loss  0.631687, Time  0.240914
2021-09-15 03:18:42.100216 : Epoch  3, Batch    444, Loss  0.611646, Average Loss  0.612321, Time  0.231350
2021-09-15 03:18:42.648989 : Epoch  2, Batch    350, Loss  0.623941, Average Loss  0.631600, Time  0.240280
2021-09-15 03:18:43.653171 : Epoch  3, Batch    445, Loss  0.606437, Average Loss  0.612198, Time  0.231677
2021-09-15 03:18:44.185878 : Epoch  2, Batch    351, Loss  0.614119, Average Loss  0.631471, Time  0.241065
2021-09-15 03:18:45.195871 : Epoch  3, Batch    446, Loss  0.616773, Average Loss  0.612247, Time  0.231276
2021-09-15 03:18:45.732439 : Epoch  2, Batch    352, Loss  0.623922, Average Loss  0.631382, Time  0.241895
2021-09-15 03:18:46.750185 : Epoch  3, Batch    447, Loss  0.624245, Average Loss  0.612325, Time  0.231108
2021-09-15 03:18:47.253360 : Epoch  2, Batch    353, Loss  0.631847, Average Loss  0.631350, Time  0.238202
2021-09-15 03:18:48.299700 : Epoch  3, Batch    448, Loss  0.611923, Average Loss  0.612305, Time  0.231580
2021-09-15 03:18:48.775747 : Epoch  2, Batch    354, Loss  0.632911, Average Loss  0.631301, Time  0.251302
2021-09-15 03:18:49.914139 : Epoch  3, Batch    449, Loss  0.616580, Average Loss  0.612287, Time  0.231744
2021-09-15 03:18:50.406808 : Epoch  2, Batch    355, Loss  0.619131, Average Loss  0.631240, Time  0.259705
2021-09-15 03:18:51.470030 : Epoch  3, Batch    450, Loss  0.624846, Average Loss  0.612303, Time  0.231672
2021-09-15 03:18:52.079594 : Epoch  2, Batch    356, Loss  0.618989, Average Loss  0.631127, Time  0.258186
2021-09-15 03:18:53.024225 : Epoch  3, Batch    451, Loss  0.616407, Average Loss  0.612361, Time  0.233066
2021-09-15 03:18:53.617303 : Epoch  2, Batch    357, Loss  0.621169, Average Loss  0.631019, Time  0.239943
2021-09-15 03:18:54.580226 : Epoch  3, Batch    452, Loss  0.622728, Average Loss  0.612459, Time  0.231162
2021-09-15 03:18:55.178312 : Epoch  2, Batch    358, Loss  0.625051, Average Loss  0.630912, Time  0.271360
2021-09-15 03:18:56.134155 : Epoch  3, Batch    453, Loss  0.602746, Average Loss  0.612430, Time  0.231467
2021-09-15 03:18:56.704810 : Epoch  2, Batch    359, Loss  0.615525, Average Loss  0.630795, Time  0.240649
2021-09-15 03:18:57.693854 : Epoch  3, Batch    454, Loss  0.610471, Average Loss  0.612430, Time  0.232707
2021-09-15 03:18:58.247790 : Epoch  2, Batch    360, Loss  0.629487, Average Loss  0.630747, Time  0.240142
2021-09-15 03:18:59.247114 : Epoch  3, Batch    455, Loss  0.613663, Average Loss  0.612467, Time  0.231333
2021-09-15 03:18:59.784993 : Epoch  2, Batch    361, Loss  0.626075, Average Loss  0.630717, Time  0.239099
2021-09-15 03:19:00.791380 : Epoch  3, Batch    456, Loss  0.622075, Average Loss  0.612529, Time  0.231249
2021-09-15 03:19:01.305394 : Epoch  2, Batch    362, Loss  0.629810, Average Loss  0.630686, Time  0.238963
2021-09-15 03:19:02.339904 : Epoch  3, Batch    457, Loss  0.612354, Average Loss  0.612523, Time  0.231267
2021-09-15 03:19:02.817773 : Epoch  2, Batch    363, Loss  0.630206, Average Loss  0.630655, Time  0.240528
2021-09-15 03:19:03.895376 : Epoch  3, Batch    458, Loss  0.613437, Average Loss  0.612496, Time  0.231314
2021-09-15 03:19:04.359449 : Epoch  2, Batch    364, Loss  0.605438, Average Loss  0.630468, Time  0.240187
2021-09-15 03:19:05.289872 : CheckPoint: Validation Loss  0.00030195, Best Loss  0.00030195
2021-09-15 03:19:05.321266 : Best Model Updated
2021-09-15 03:19:05.443046 : Epoch  3, Batch    459, Loss  0.607361, Average Loss  0.612470, Time  0.231201
2021-09-15 03:19:05.876374 : Epoch  2, Batch    365, Loss  0.612573, Average Loss  0.630337, Time  0.239889
2021-09-15 03:19:07.059202 : Epoch  3, Batch    460, Loss  0.607148, Average Loss  0.612459, Time  0.231953
2021-09-15 03:19:07.608135 : Epoch  2, Batch    366, Loss  0.625639, Average Loss  0.630237, Time  0.258411
2021-09-15 03:19:08.610632 : Epoch  3, Batch    461, Loss  0.623351, Average Loss  0.612475, Time  0.231270
2021-09-15 03:19:09.228271 : Epoch  1, Batch    701, Loss  0.895508, Average Loss  0.885628, Time  0.267020
2021-09-15 03:19:09.304854 : Epoch  2, Batch    367, Loss  0.608797, Average Loss  0.630101, Time  0.258401
2021-09-15 03:19:10.161250 : Epoch  3, Batch    462, Loss  0.616318, Average Loss  0.612476, Time  0.231913
2021-09-15 03:19:10.850998 : Epoch  2, Batch    368, Loss  0.629548, Average Loss  0.630086, Time  0.242085
2021-09-15 03:19:11.717172 : Epoch  3, Batch    463, Loss  0.616989, Average Loss  0.612447, Time  0.233492
2021-09-15 03:19:12.239051 : Epoch  1, Batch    702, Loss  0.886876, Average Loss  0.885622, Time  0.278041
2021-09-15 03:19:12.371101 : Epoch  2, Batch    369, Loss  0.619872, Average Loss  0.629997, Time  0.238299
2021-09-15 03:19:13.261419 : Epoch  3, Batch    464, Loss  0.619996, Average Loss  0.612482, Time  0.231459
2021-09-15 03:19:13.883986 : Epoch  2, Batch    370, Loss  0.630020, Average Loss  0.629936, Time  0.237975
2021-09-15 03:19:14.819155 : Epoch  3, Batch    465, Loss  0.610919, Average Loss  0.612409, Time  0.232107
2021-09-15 03:19:15.229469 : Epoch  1, Batch    703, Loss  0.880763, Average Loss  0.885642, Time  0.265109
2021-09-15 03:19:15.434404 : Epoch  2, Batch    371, Loss  0.618626, Average Loss  0.629838, Time  0.242129
2021-09-15 03:19:16.400846 : Epoch  3, Batch    466, Loss  0.621002, Average Loss  0.612473, Time  0.232641
2021-09-15 03:19:17.106969 : Epoch  2, Batch    372, Loss  0.622189, Average Loss  0.629707, Time  0.258722
2021-09-15 03:19:17.968669 : Epoch  3, Batch    467, Loss  0.613571, Average Loss  0.612508, Time  0.231731
2021-09-15 03:19:18.217703 : Epoch  1, Batch    704, Loss  0.878700, Average Loss  0.885529, Time  0.264912
2021-09-15 03:19:18.778710 : Epoch  2, Batch    373, Loss  0.626221, Average Loss  0.629621, Time  0.257430
2021-09-15 03:19:19.529850 : Epoch  3, Batch    468, Loss  0.611534, Average Loss  0.612461, Time  0.231324
2021-09-15 03:19:20.321988 : Epoch  2, Batch    374, Loss  0.627203, Average Loss  0.629582, Time  0.241585
2021-09-15 03:19:21.073103 : Epoch  3, Batch    469, Loss  0.617044, Average Loss  0.612474, Time  0.231312
2021-09-15 03:19:21.205724 : Epoch  1, Batch    705, Loss  0.879997, Average Loss  0.885443, Time  0.266176
2021-09-15 03:19:21.851499 : Epoch  2, Batch    375, Loss  0.621930, Average Loss  0.629468, Time  0.239430
2021-09-15 03:19:22.625554 : Epoch  3, Batch    470, Loss  0.605005, Average Loss  0.612435, Time  0.231279
2021-09-15 03:19:23.390382 : Epoch  2, Batch    376, Loss  0.621770, Average Loss  0.629384, Time  0.241779
2021-09-15 03:19:24.177861 : Epoch  3, Batch    471, Loss  0.614871, Average Loss  0.612475, Time  0.232710
2021-09-15 03:19:24.199399 : Epoch  1, Batch    706, Loss  0.872262, Average Loss  0.885397, Time  0.264644
2021-09-15 03:19:24.918903 : Epoch  2, Batch    377, Loss  0.624768, Average Loss  0.629319, Time  0.239185
2021-09-15 03:19:25.728321 : Epoch  3, Batch    472, Loss  0.607138, Average Loss  0.612516, Time  0.233805
2021-09-15 03:19:26.617337 : Epoch  2, Batch    378, Loss  0.615432, Average Loss  0.629207, Time  0.259486
2021-09-15 03:19:27.206304 : Epoch  1, Batch    707, Loss  0.871616, Average Loss  0.885444, Time  0.265469
2021-09-15 03:19:27.279441 : Epoch  3, Batch    473, Loss  0.596401, Average Loss  0.612409, Time  0.232106
2021-09-15 03:19:28.153911 : Epoch  2, Batch    379, Loss  0.616127, Average Loss  0.629065, Time  0.241629
2021-09-15 03:19:28.830971 : Epoch  3, Batch    474, Loss  0.617964, Average Loss  0.612404, Time  0.231996
2021-09-15 03:19:29.700034 : Epoch  2, Batch    380, Loss  0.628908, Average Loss  0.628992, Time  0.240073
2021-09-15 03:19:30.224056 : Epoch  1, Batch    708, Loss  0.865307, Average Loss  0.885218, Time  0.265943
2021-09-15 03:19:30.386395 : Epoch  3, Batch    475, Loss  0.593402, Average Loss  0.612314, Time  0.231190
2021-09-15 03:19:31.220387 : Epoch  2, Batch    381, Loss  0.619205, Average Loss  0.628881, Time  0.241527
2021-09-15 03:19:31.940389 : Epoch  3, Batch    476, Loss  0.613740, Average Loss  0.612349, Time  0.231311
2021-09-15 03:19:32.752332 : Epoch  2, Batch    382, Loss  0.620525, Average Loss  0.628787, Time  0.239020
2021-09-15 03:19:33.225920 : Epoch  1, Batch    709, Loss  0.908170, Average Loss  0.885351, Time  0.264418
2021-09-15 03:19:33.484349 : Epoch  3, Batch    477, Loss  0.611586, Average Loss  0.612292, Time  0.230935
2021-09-15 03:19:34.277126 : Epoch  2, Batch    383, Loss  0.622512, Average Loss  0.628708, Time  0.240052
2021-09-15 03:19:35.031593 : Epoch  3, Batch    478, Loss  0.607794, Average Loss  0.612230, Time  0.231032
2021-09-15 03:19:36.229932 : Epoch  1, Batch    710, Loss  0.896262, Average Loss  0.885428, Time  0.265364
2021-09-15 03:19:36.581280 : Epoch  3, Batch    479, Loss  0.602248, Average Loss  0.612205, Time  0.232302
2021-09-15 03:19:38.134098 : Epoch  3, Batch    480, Loss  0.605932, Average Loss  0.612222, Time  0.231838
2021-09-15 03:19:38.171439 : Epoch  2, Batch    384, Loss  0.623265, Average Loss  0.628615, Time  0.275931
2021-09-15 03:19:39.266558 : Epoch  1, Batch    711, Loss  0.879639, Average Loss  0.885521, Time  0.265210
2021-09-15 03:19:39.691962 : Epoch  3, Batch    481, Loss  0.610763, Average Loss  0.612188, Time  0.231475
2021-09-15 03:19:39.740471 : Epoch  2, Batch    385, Loss  0.618371, Average Loss  0.628502, Time  0.261080
2021-09-15 03:19:41.235874 : Epoch  3, Batch    482, Loss  0.616127, Average Loss  0.612176, Time  0.231650
2021-09-15 03:19:41.268291 : Epoch  2, Batch    386, Loss  0.624038, Average Loss  0.628375, Time  0.239002
2021-09-15 03:19:42.296969 : Epoch  1, Batch    712, Loss  0.892220, Average Loss  0.885473, Time  0.265635
2021-09-15 03:19:42.786779 : Epoch  2, Batch    387, Loss  0.610067, Average Loss  0.628187, Time  0.238486
2021-09-15 03:19:42.787444 : Epoch  3, Batch    483, Loss  0.603275, Average Loss  0.612109, Time  0.231553
2021-09-15 03:19:44.310089 : Epoch  2, Batch    388, Loss  0.628073, Average Loss  0.628055, Time  0.240073
2021-09-15 03:19:44.370435 : Epoch  3, Batch    484, Loss  0.622414, Average Loss  0.612135, Time  0.232031
2021-09-15 03:19:45.291562 : Epoch  1, Batch    713, Loss  0.888123, Average Loss  0.885388, Time  0.265367
2021-09-15 03:19:45.849460 : Epoch  2, Batch    389, Loss  0.631627, Average Loss  0.628045, Time  0.241230
2021-09-15 03:19:45.921026 : Epoch  3, Batch    485, Loss  0.626950, Average Loss  0.612236, Time  0.231977
2021-09-15 03:19:47.379015 : Epoch  2, Batch    390, Loss  0.606836, Average Loss  0.627894, Time  0.237734
2021-09-15 03:19:47.466582 : Epoch  3, Batch    486, Loss  0.610567, Average Loss  0.612188, Time  0.233238
2021-09-15 03:19:48.295726 : Epoch  1, Batch    714, Loss  0.878042, Average Loss  0.885306, Time  0.264266
2021-09-15 03:19:49.006121 : Epoch  3, Batch    487, Loss  0.622620, Average Loss  0.612293, Time  0.231513
2021-09-15 03:19:49.058803 : Epoch  2, Batch    391, Loss  0.627399, Average Loss  0.627847, Time  0.258984
2021-09-15 03:19:50.554798 : Epoch  3, Batch    488, Loss  0.615953, Average Loss  0.612300, Time  0.231886
2021-09-15 03:19:50.601342 : Epoch  2, Batch    392, Loss  0.609214, Average Loss  0.627694, Time  0.240993
2021-09-15 03:19:51.300452 : Epoch  1, Batch    715, Loss  0.884482, Average Loss  0.885295, Time  0.265480
2021-09-15 03:19:52.105016 : Epoch  3, Batch    489, Loss  0.610438, Average Loss  0.612338, Time  0.232072
2021-09-15 03:19:52.141339 : Epoch  2, Batch    393, Loss  0.615706, Average Loss  0.627610, Time  0.240971
2021-09-15 03:19:53.651894 : Epoch  3, Batch    490, Loss  0.622025, Average Loss  0.612359, Time  0.231681
2021-09-15 03:19:53.682820 : Epoch  2, Batch    394, Loss  0.617717, Average Loss  0.627459, Time  0.239364
2021-09-15 03:19:54.337947 : Epoch  1, Batch    716, Loss  0.901818, Average Loss  0.885371, Time  0.265955
2021-09-15 03:19:55.205389 : Epoch  3, Batch    491, Loss  0.612409, Average Loss  0.612332, Time  0.232097
2021-09-15 03:19:55.236840 : Epoch  2, Batch    395, Loss  0.609760, Average Loss  0.627290, Time  0.241928
2021-09-15 03:19:56.750655 : Epoch  3, Batch    492, Loss  0.608800, Average Loss  0.612339, Time  0.231564
2021-09-15 03:19:56.785943 : Epoch  2, Batch    396, Loss  0.628733, Average Loss  0.627224, Time  0.240634
2021-09-15 03:19:57.351532 : Epoch  1, Batch    717, Loss  0.895384, Average Loss  0.885345, Time  0.275458
2021-09-15 03:19:58.295880 : Epoch  3, Batch    493, Loss  0.600577, Average Loss  0.612307, Time  0.231479
2021-09-15 03:19:58.327371 : Epoch  2, Batch    397, Loss  0.622251, Average Loss  0.627202, Time  0.239897
2021-09-15 03:19:59.853819 : Epoch  2, Batch    398, Loss  0.618933, Average Loss  0.627109, Time  0.243446
2021-09-15 03:19:59.892167 : Epoch  3, Batch    494, Loss  0.609012, Average Loss  0.612285, Time  0.233720
2021-09-15 03:20:00.353894 : Epoch  1, Batch    718, Loss  0.891487, Average Loss  0.885425, Time  0.265798
2021-09-15 03:20:01.395231 : Epoch  2, Batch    399, Loss  0.614582, Average Loss  0.626998, Time  0.242517
2021-09-15 03:20:01.463454 : Epoch  3, Batch    495, Loss  0.628896, Average Loss  0.612394, Time  0.232820
2021-09-15 03:20:02.934445 : Epoch  2, Batch    400, Loss  0.616427, Average Loss  0.626948, Time  0.241986
2021-09-15 03:20:03.038645 : Epoch  3, Batch    496, Loss  0.626386, Average Loss  0.612445, Time  0.232214
2021-09-15 03:20:03.336260 : Epoch  1, Batch    719, Loss  0.879628, Average Loss  0.885383, Time  0.265174
2021-09-15 03:20:04.472958 : Epoch  2, Batch    401, Loss  0.620929, Average Loss  0.626867, Time  0.240895
2021-09-15 03:20:06.006444 : Epoch  2, Batch    402, Loss  0.626347, Average Loss  0.626846, Time  0.241050
2021-09-15 03:20:06.340801 : Epoch  1, Batch    720, Loss  0.850583, Average Loss  0.885265, Time  0.266996
2021-09-15 03:20:07.040409 : Epoch  3, Batch    497, Loss  0.607235, Average Loss  0.612485, Time  0.265155
2021-09-15 03:20:07.532893 : Epoch  2, Batch    403, Loss  0.630502, Average Loss  0.626806, Time  0.240923
2021-09-15 03:20:08.604835 : Epoch  3, Batch    498, Loss  0.617141, Average Loss  0.612487, Time  0.238337
2021-09-15 03:20:09.060024 : Epoch  2, Batch    404, Loss  0.626666, Average Loss  0.626757, Time  0.241041
2021-09-15 03:20:09.375733 : Epoch  1, Batch    721, Loss  0.880452, Average Loss  0.885247, Time  0.264272
2021-09-15 03:20:10.169033 : Epoch  3, Batch    499, Loss  0.615182, Average Loss  0.612493, Time  0.231543
2021-09-15 03:20:10.584944 : Epoch  2, Batch    405, Loss  0.624963, Average Loss  0.626668, Time  0.238619
2021-09-15 03:20:11.725908 : Epoch  3, Batch    500, Loss  0.611326, Average Loss  0.612452, Time  0.232237
2021-09-15 03:20:12.141249 : Epoch  2, Batch    406, Loss  0.615955, Average Loss  0.626548, Time  0.253736
2021-09-15 03:20:12.380277 : Epoch  1, Batch    722, Loss  0.895871, Average Loss  0.885305, Time  0.265093
2021-09-15 03:20:13.324769 : Epoch  3, Batch    501, Loss  0.612315, Average Loss  0.612476, Time  0.231428
2021-09-15 03:20:13.663883 : Epoch  2, Batch    407, Loss  0.616035, Average Loss  0.626512, Time  0.239718
2021-09-15 03:20:14.869051 : Epoch  3, Batch    502, Loss  0.614326, Average Loss  0.612462, Time  0.231255
2021-09-15 03:20:15.201905 : Epoch  2, Batch    408, Loss  0.616635, Average Loss  0.626462, Time  0.242574
2021-09-15 03:20:15.378333 : Epoch  1, Batch    723, Loss  0.885677, Average Loss  0.885354, Time  0.265615
2021-09-15 03:20:16.434418 : Epoch  3, Batch    503, Loss  0.614954, Average Loss  0.612456, Time  0.231452
2021-09-15 03:20:16.719784 : Epoch  2, Batch    409, Loss  0.608539, Average Loss  0.626352, Time  0.240868
2021-09-15 03:20:17.997026 : Epoch  3, Batch    504, Loss  0.616036, Average Loss  0.612428, Time  0.231313
2021-09-15 03:20:18.248877 : Epoch  2, Batch    410, Loss  0.623389, Average Loss  0.626271, Time  0.241516
2021-09-15 03:20:18.406924 : Epoch  1, Batch    724, Loss  0.887251, Average Loss  0.885398, Time  0.266368
2021-09-15 03:20:19.566312 : Epoch  3, Batch    505, Loss  0.616999, Average Loss  0.612492, Time  0.233684
2021-09-15 03:20:19.779499 : Epoch  2, Batch    411, Loss  0.619134, Average Loss  0.626146, Time  0.241340
2021-09-15 03:20:21.122384 : Epoch  3, Batch    506, Loss  0.625063, Average Loss  0.612508, Time  0.231274
2021-09-15 03:20:21.294785 : Epoch  2, Batch    412, Loss  0.625122, Average Loss  0.626087, Time  0.240222
2021-09-15 03:20:21.442040 : Epoch  1, Batch    725, Loss  0.895269, Average Loss  0.885426, Time  0.265788
2021-09-15 03:20:22.684111 : Epoch  3, Batch    507, Loss  0.620356, Average Loss  0.612528, Time  0.232555
2021-09-15 03:20:22.812971 : Epoch  2, Batch    413, Loss  0.626284, Average Loss  0.626027, Time  0.238372
2021-09-15 03:20:24.233947 : Epoch  3, Batch    508, Loss  0.615836, Average Loss  0.612552, Time  0.232776
2021-09-15 03:20:24.451139 : Epoch  1, Batch    726, Loss  0.911277, Average Loss  0.885520, Time  0.264950
2021-09-15 03:20:25.795859 : Epoch  3, Batch    509, Loss  0.618868, Average Loss  0.612600, Time  0.231311
2021-09-15 03:20:27.374411 : Epoch  3, Batch    510, Loss  0.607656, Average Loss  0.612582, Time  0.231790
2021-09-15 03:20:27.483667 : Epoch  1, Batch    727, Loss  0.884726, Average Loss  0.885528, Time  0.265112
2021-09-15 03:20:28.924742 : Epoch  3, Batch    511, Loss  0.616275, Average Loss  0.612575, Time  0.232093
2021-09-15 03:20:30.483209 : Epoch  3, Batch    512, Loss  0.607002, Average Loss  0.612601, Time  0.232263
2021-09-15 03:20:30.504392 : Epoch  1, Batch    728, Loss  0.911499, Average Loss  0.885593, Time  0.265696
2021-09-15 03:20:32.021743 : Epoch  3, Batch    513, Loss  0.610039, Average Loss  0.612522, Time  0.230769
2021-09-15 03:20:33.527578 : Epoch  1, Batch    729, Loss  0.893636, Average Loss  0.885692, Time  0.264545
2021-09-15 03:20:33.568621 : Epoch  3, Batch    514, Loss  0.608001, Average Loss  0.612491, Time  0.231065
2021-09-15 03:20:35.128198 : Epoch  3, Batch    515, Loss  0.608728, Average Loss  0.612442, Time  0.231319
2021-09-15 03:20:36.511796 : Epoch  1, Batch    730, Loss  0.895505, Average Loss  0.885729, Time  0.264549
2021-09-15 03:20:36.679451 : Epoch  3, Batch    516, Loss  0.614954, Average Loss  0.612500, Time  0.230698
2021-09-15 03:20:38.233330 : Epoch  3, Batch    517, Loss  0.605831, Average Loss  0.612419, Time  0.231311
2021-09-15 03:20:39.558849 : Epoch  1, Batch    731, Loss  0.870054, Average Loss  0.885722, Time  0.264531
2021-09-15 03:20:39.781830 : Epoch  3, Batch    518, Loss  0.610253, Average Loss  0.612371, Time  0.231878
2021-09-15 03:20:41.332921 : Epoch  3, Batch    519, Loss  0.606393, Average Loss  0.612345, Time  0.231191
2021-09-15 03:20:42.569693 : Epoch  1, Batch    732, Loss  0.873570, Average Loss  0.885653, Time  0.271756
2021-09-15 03:20:42.877891 : Epoch  3, Batch    520, Loss  0.619055, Average Loss  0.612357, Time  0.231444
2021-09-15 03:20:44.423951 : Epoch  3, Batch    521, Loss  0.614274, Average Loss  0.612367, Time  0.231319
2021-09-15 03:20:45.574476 : Epoch  1, Batch    733, Loss  0.874874, Average Loss  0.885554, Time  0.265174
2021-09-15 03:20:45.981083 : Epoch  3, Batch    522, Loss  0.605948, Average Loss  0.612326, Time  0.231946
2021-09-15 03:20:47.535948 : Epoch  3, Batch    523, Loss  0.606790, Average Loss  0.612318, Time  0.231619
2021-09-15 03:20:48.636103 : Epoch  1, Batch    734, Loss  0.871061, Average Loss  0.885398, Time  0.264595
2021-09-15 03:20:49.087063 : Epoch  3, Batch    524, Loss  0.610470, Average Loss  0.612321, Time  0.232157
2021-09-15 03:20:50.626836 : Epoch  3, Batch    525, Loss  0.619313, Average Loss  0.612332, Time  0.232014
2021-09-15 03:20:51.648885 : Epoch  1, Batch    735, Loss  0.896494, Average Loss  0.885450, Time  0.265166
2021-09-15 03:20:52.191413 : Epoch  3, Batch    526, Loss  0.610758, Average Loss  0.612266, Time  0.231302
2021-09-15 03:20:54.683120 : Epoch  1, Batch    736, Loss  0.879738, Average Loss  0.885407, Time  0.265357
2021-09-15 03:20:57.718829 : Epoch  1, Batch    737, Loss  0.881154, Average Loss  0.885361, Time  0.265197
2021-09-15 03:21:00.716626 : Epoch  1, Batch    738, Loss  0.909986, Average Loss  0.885582, Time  0.264025
2021-09-15 03:21:03.730779 : Epoch  1, Batch    739, Loss  0.863423, Average Loss  0.885440, Time  0.265212
2021-09-15 03:21:06.762325 : Epoch  1, Batch    740, Loss  0.883422, Average Loss  0.885410, Time  0.266221
2021-09-15 03:21:09.767253 : Epoch  1, Batch    741, Loss  0.879254, Average Loss  0.885317, Time  0.264413
2021-09-15 03:21:12.800632 : Epoch  1, Batch    742, Loss  0.879446, Average Loss  0.885328, Time  0.264971
2021-09-15 03:21:15.798681 : Epoch  1, Batch    743, Loss  0.891576, Average Loss  0.885342, Time  0.265374
2021-09-15 03:21:18.834771 : Epoch  1, Batch    744, Loss  0.877474, Average Loss  0.885232, Time  0.265825
2021-09-15 03:21:19.503707 : CheckPoint: Validation Loss  0.00025447, Best Loss  0.00025447
2021-09-15 03:21:19.533755 : Best Model Updated
2021-09-15 03:21:21.842946 : Epoch  2, Batch    414, Loss  0.613392, Average Loss  0.625875, Time  0.261387
2021-09-15 03:21:21.873057 : Epoch  1, Batch    745, Loss  0.878448, Average Loss  0.885240, Time  0.265580
2021-09-15 03:21:23.374285 : Epoch  2, Batch    415, Loss  0.620026, Average Loss  0.625770, Time  0.240718
2021-09-15 03:21:24.897970 : Epoch  2, Batch    416, Loss  0.622106, Average Loss  0.625697, Time  0.240035
2021-09-15 03:21:24.902946 : Epoch  1, Batch    746, Loss  0.886764, Average Loss  0.885177, Time  0.265849
2021-09-15 03:21:26.430925 : Epoch  2, Batch    417, Loss  0.624687, Average Loss  0.625678, Time  0.245253
2021-09-15 03:21:27.948282 : Epoch  1, Batch    747, Loss  0.866903, Average Loss  0.884983, Time  0.276369
2021-09-15 03:21:27.968025 : Epoch  2, Batch    418, Loss  0.610160, Average Loss  0.625543, Time  0.239840
2021-09-15 03:21:29.499347 : Epoch  2, Batch    419, Loss  0.619574, Average Loss  0.625482, Time  0.240718
2021-09-15 03:21:30.940041 : Epoch  1, Batch    748, Loss  0.887957, Average Loss  0.884973, Time  0.264405
2021-09-15 03:21:31.022251 : Epoch  2, Batch    420, Loss  0.612933, Average Loss  0.625376, Time  0.238346
2021-09-15 03:21:32.558165 : Epoch  2, Batch    421, Loss  0.626100, Average Loss  0.625338, Time  0.239101
2021-09-15 03:21:33.951943 : Epoch  1, Batch    749, Loss  0.887215, Average Loss  0.884973, Time  0.264775
2021-09-15 03:21:34.090822 : Epoch  2, Batch    422, Loss  0.624336, Average Loss  0.625303, Time  0.240571
2021-09-15 03:21:35.610662 : Epoch  2, Batch    423, Loss  0.624016, Average Loss  0.625224, Time  0.239473
2021-09-15 03:21:36.948712 : Epoch  1, Batch    750, Loss  0.898843, Average Loss  0.884908, Time  0.265532
2021-09-15 03:21:37.131131 : Epoch  2, Batch    424, Loss  0.610527, Average Loss  0.625070, Time  0.238139
2021-09-15 03:21:38.702901 : Epoch  2, Batch    425, Loss  0.612880, Average Loss  0.625027, Time  0.242094
2021-09-15 03:21:39.974056 : Epoch  1, Batch    751, Loss  0.900067, Average Loss  0.884921, Time  0.264707
2021-09-15 03:21:40.232930 : Epoch  2, Batch    426, Loss  0.630240, Average Loss  0.625015, Time  0.237896
2021-09-15 03:21:41.745384 : Epoch  2, Batch    427, Loss  0.616402, Average Loss  0.624915, Time  0.240140
2021-09-15 03:21:42.950372 : Epoch  1, Batch    752, Loss  0.868237, Average Loss  0.884780, Time  0.265422
2021-09-15 03:21:43.277891 : Epoch  2, Batch    428, Loss  0.611219, Average Loss  0.624792, Time  0.239421
2021-09-15 03:21:44.849916 : Epoch  2, Batch    429, Loss  0.610175, Average Loss  0.624681, Time  0.241549
2021-09-15 03:21:45.979663 : Epoch  1, Batch    753, Loss  0.849866, Average Loss  0.884658, Time  0.265243
2021-09-15 03:21:46.382955 : Epoch  2, Batch    430, Loss  0.616865, Average Loss  0.624595, Time  0.238803
2021-09-15 03:21:47.905285 : Epoch  2, Batch    431, Loss  0.623541, Average Loss  0.624581, Time  0.237755
2021-09-15 03:21:48.964441 : Epoch  1, Batch    754, Loss  0.899488, Average Loss  0.884774, Time  0.265062
2021-09-15 03:21:49.595840 : Epoch  2, Batch    432, Loss  0.622246, Average Loss  0.624552, Time  0.245740
2021-09-15 03:21:50.063740 : CheckPoint: Validation Loss  0.00025645, Best Loss  0.00024882
2021-09-15 03:21:51.127946 : Epoch  2, Batch    433, Loss  0.616488, Average Loss  0.624436, Time  0.238073
2021-09-15 03:21:51.599633 : Epoch  3, Batch    527, Loss  0.618964, Average Loss  0.612299, Time  0.231505
2021-09-15 03:21:51.942711 : Epoch  1, Batch    755, Loss  0.871982, Average Loss  0.884674, Time  0.263603
2021-09-15 03:21:52.651614 : Epoch  2, Batch    434, Loss  0.623913, Average Loss  0.624335, Time  0.239402
2021-09-15 03:21:53.144844 : Epoch  3, Batch    528, Loss  0.627978, Average Loss  0.612397, Time  0.231804
2021-09-15 03:21:54.347507 : Epoch  2, Batch    435, Loss  0.624171, Average Loss  0.624282, Time  0.259891
2021-09-15 03:21:54.683276 : Epoch  3, Batch    529, Loss  0.608926, Average Loss  0.612399, Time  0.231009
2021-09-15 03:21:54.902249 : Epoch  1, Batch    756, Loss  0.859726, Average Loss  0.884609, Time  0.265377
2021-09-15 03:21:55.894905 : Epoch  2, Batch    436, Loss  0.628944, Average Loss  0.624190, Time  0.241894
2021-09-15 03:21:56.217155 : Epoch  3, Batch    530, Loss  0.598868, Average Loss  0.612318, Time  0.231273
2021-09-15 03:21:57.420351 : Epoch  2, Batch    437, Loss  0.628991, Average Loss  0.624153, Time  0.239205
2021-09-15 03:21:57.757891 : Epoch  3, Batch    531, Loss  0.620069, Average Loss  0.612363, Time  0.233739
2021-09-15 03:21:57.904509 : Epoch  1, Batch    757, Loss  0.848441, Average Loss  0.884409, Time  0.264554
2021-09-15 03:21:58.958392 : Epoch  2, Batch    438, Loss  0.617644, Average Loss  0.624023, Time  0.240693
2021-09-15 03:21:59.300940 : Epoch  3, Batch    532, Loss  0.614530, Average Loss  0.612349, Time  0.232348
2021-09-15 03:22:00.493861 : Epoch  2, Batch    439, Loss  0.613901, Average Loss  0.623976, Time  0.241285
2021-09-15 03:22:00.841392 : Epoch  3, Batch    533, Loss  0.611620, Average Loss  0.612329, Time  0.231405
2021-09-15 03:22:00.956791 : Epoch  1, Batch    758, Loss  0.887739, Average Loss  0.884370, Time  0.265175
2021-09-15 03:22:02.039832 : Epoch  2, Batch    440, Loss  0.615448, Average Loss  0.623882, Time  0.242607
2021-09-15 03:22:02.387787 : Epoch  3, Batch    534, Loss  0.624029, Average Loss  0.612360, Time  0.231264
2021-09-15 03:22:03.566830 : Epoch  2, Batch    441, Loss  0.606552, Average Loss  0.623770, Time  0.240002
2021-09-15 03:22:03.943799 : Epoch  3, Batch    535, Loss  0.606641, Average Loss  0.612300, Time  0.231295
2021-09-15 03:22:03.972133 : Epoch  1, Batch    759, Loss  0.887770, Average Loss  0.884264, Time  0.264550
2021-09-15 03:22:05.099778 : Epoch  2, Batch    442, Loss  0.620136, Average Loss  0.623731, Time  0.241436
2021-09-15 03:22:05.487346 : Epoch  3, Batch    536, Loss  0.625401, Average Loss  0.612363, Time  0.230870
2021-09-15 03:22:06.636794 : Epoch  2, Batch    443, Loss  0.623699, Average Loss  0.623676, Time  0.240863
2021-09-15 03:22:06.981280 : Epoch  1, Batch    760, Loss  0.900097, Average Loss  0.884255, Time  0.266596
2021-09-15 03:22:07.031980 : Epoch  3, Batch    537, Loss  0.623196, Average Loss  0.612506, Time  0.231141
2021-09-15 03:22:08.176857 : Epoch  2, Batch    444, Loss  0.623806, Average Loss  0.623666, Time  0.239053
2021-09-15 03:22:08.575110 : Epoch  3, Batch    538, Loss  0.613098, Average Loss  0.612490, Time  0.232775
2021-09-15 03:22:09.704065 : Epoch  2, Batch    445, Loss  0.621039, Average Loss  0.623573, Time  0.240703
2021-09-15 03:22:09.977101 : Epoch  1, Batch    761, Loss  0.891726, Average Loss  0.884278, Time  0.265684
2021-09-15 03:22:10.111919 : Epoch  3, Batch    539, Loss  0.618766, Average Loss  0.612529, Time  0.231360
2021-09-15 03:22:11.232375 : Epoch  2, Batch    446, Loss  0.621805, Average Loss  0.623540, Time  0.239641
2021-09-15 03:22:11.653088 : Epoch  3, Batch    540, Loss  0.616171, Average Loss  0.612557, Time  0.231445
2021-09-15 03:22:12.765900 : Epoch  2, Batch    447, Loss  0.618344, Average Loss  0.623516, Time  0.240903
2021-09-15 03:22:13.013834 : Epoch  1, Batch    762, Loss  0.901641, Average Loss  0.884400, Time  0.280040
2021-09-15 03:22:13.202194 : Epoch  3, Batch    541, Loss  0.606390, Average Loss  0.612566, Time  0.231409
2021-09-15 03:22:14.466775 : Epoch  2, Batch    448, Loss  0.628851, Average Loss  0.623458, Time  0.258398
2021-09-15 03:22:14.743619 : Epoch  3, Batch    542, Loss  0.622526, Average Loss  0.612640, Time  0.231348
2021-09-15 03:22:16.005787 : Epoch  1, Batch    763, Loss  0.892454, Average Loss  0.884516, Time  0.265679
2021-09-15 03:22:16.010035 : Epoch  2, Batch    449, Loss  0.620926, Average Loss  0.623444, Time  0.238376
2021-09-15 03:22:16.290910 : Epoch  3, Batch    543, Loss  0.614677, Average Loss  0.612671, Time  0.232908
2021-09-15 03:22:17.715066 : Epoch  2, Batch    450, Loss  0.626703, Average Loss  0.623393, Time  0.257653
2021-09-15 03:22:17.829406 : Epoch  3, Batch    544, Loss  0.613091, Average Loss  0.612675, Time  0.231492
2021-09-15 03:22:19.012628 : Epoch  1, Batch    764, Loss  0.866138, Average Loss  0.884477, Time  0.264762
2021-09-15 03:22:19.260051 : Epoch  2, Batch    451, Loss  0.613080, Average Loss  0.623318, Time  0.240125
2021-09-15 03:22:19.372037 : Epoch  3, Batch    545, Loss  0.612524, Average Loss  0.612749, Time  0.232123
2021-09-15 03:22:20.929875 : Epoch  3, Batch    546, Loss  0.605194, Average Loss  0.612716, Time  0.232876
2021-09-15 03:22:20.969457 : Epoch  2, Batch    452, Loss  0.608838, Average Loss  0.623226, Time  0.257219
2021-09-15 03:22:22.016974 : Epoch  1, Batch    765, Loss  0.863854, Average Loss  0.884237, Time  0.265221
2021-09-15 03:22:22.485183 : Epoch  3, Batch    547, Loss  0.608625, Average Loss  0.612745, Time  0.231557
2021-09-15 03:22:22.515966 : Epoch  2, Batch    453, Loss  0.624650, Average Loss  0.623221, Time  0.239635
2021-09-15 03:22:24.027292 : Epoch  3, Batch    548, Loss  0.609359, Average Loss  0.612748, Time  0.231713
2021-09-15 03:22:24.067428 : Epoch  2, Batch    454, Loss  0.616141, Average Loss  0.623148, Time  0.240041
2021-09-15 03:22:25.042599 : Epoch  1, Batch    766, Loss  0.889033, Average Loss  0.884274, Time  0.264280
2021-09-15 03:22:25.575081 : Epoch  3, Batch    549, Loss  0.612343, Average Loss  0.612777, Time  0.232002
2021-09-15 03:22:25.606020 : Epoch  2, Batch    455, Loss  0.624334, Average Loss  0.623121, Time  0.239810
2021-09-15 03:22:27.120345 : Epoch  3, Batch    550, Loss  0.599502, Average Loss  0.612695, Time  0.231319
2021-09-15 03:22:27.153030 : Epoch  2, Batch    456, Loss  0.627634, Average Loss  0.623097, Time  0.239075
2021-09-15 03:22:28.075760 : Epoch  1, Batch    767, Loss  0.891132, Average Loss  0.884311, Time  0.265353
2021-09-15 03:22:28.669240 : Epoch  3, Batch    551, Loss  0.614064, Average Loss  0.612693, Time  0.231999
2021-09-15 03:22:28.710436 : Epoch  2, Batch    457, Loss  0.621835, Average Loss  0.623024, Time  0.237458
2021-09-15 03:22:30.219567 : Epoch  3, Batch    552, Loss  0.612540, Average Loss  0.612652, Time  0.232306
2021-09-15 03:22:30.264166 : Epoch  2, Batch    458, Loss  0.622944, Average Loss  0.622955, Time  0.240034
2021-09-15 03:22:31.066828 : Epoch  1, Batch    768, Loss  0.887997, Average Loss  0.884263, Time  0.266444
2021-09-15 03:22:31.767592 : Epoch  3, Batch    553, Loss  0.608227, Average Loss  0.612639, Time  0.231358
2021-09-15 03:22:31.800411 : Epoch  2, Batch    459, Loss  0.619517, Average Loss  0.622872, Time  0.238560
2021-09-15 03:22:33.313234 : Epoch  3, Batch    554, Loss  0.616738, Average Loss  0.612709, Time  0.233519
2021-09-15 03:22:33.342171 : Epoch  2, Batch    460, Loss  0.623260, Average Loss  0.622881, Time  0.238520
2021-09-15 03:22:34.075570 : Epoch  1, Batch    769, Loss  0.872253, Average Loss  0.884184, Time  0.265086
2021-09-15 03:22:34.852120 : Epoch  3, Batch    555, Loss  0.606041, Average Loss  0.612664, Time  0.231578
2021-09-15 03:22:34.885443 : Epoch  2, Batch    461, Loss  0.626503, Average Loss  0.622877, Time  0.240257
2021-09-15 03:22:36.387298 : Epoch  3, Batch    556, Loss  0.618058, Average Loss  0.612688, Time  0.231198
2021-09-15 03:22:36.432935 : Epoch  2, Batch    462, Loss  0.608326, Average Loss  0.622736, Time  0.241679
2021-09-15 03:22:37.065554 : Epoch  1, Batch    770, Loss  0.869524, Average Loss  0.884180, Time  0.264307
2021-09-15 03:22:37.922070 : Epoch  3, Batch    557, Loss  0.618721, Average Loss  0.612736, Time  0.231644
2021-09-15 03:22:37.961363 : Epoch  2, Batch    463, Loss  0.610416, Average Loss  0.622662, Time  0.239357
2021-09-15 03:22:39.459371 : Epoch  3, Batch    558, Loss  0.616250, Average Loss  0.612757, Time  0.231485
2021-09-15 03:22:39.488863 : Epoch  2, Batch    464, Loss  0.621059, Average Loss  0.622593, Time  0.241626
2021-09-15 03:22:40.150994 : Epoch  1, Batch    771, Loss  0.881916, Average Loss  0.884188, Time  0.265088
2021-09-15 03:22:40.998633 : Epoch  3, Batch    559, Loss  0.601493, Average Loss  0.612765, Time  0.231433
2021-09-15 03:22:41.043358 : Epoch  2, Batch    465, Loss  0.611716, Average Loss  0.622506, Time  0.239958
2021-09-15 03:22:42.553360 : Epoch  3, Batch    560, Loss  0.622143, Average Loss  0.612799, Time  0.231631
2021-09-15 03:22:42.581950 : Epoch  2, Batch    466, Loss  0.627247, Average Loss  0.622562, Time  0.240976
2021-09-15 03:22:43.179761 : Epoch  1, Batch    772, Loss  0.863897, Average Loss  0.884128, Time  0.266074
2021-09-15 03:22:44.087610 : Epoch  3, Batch    561, Loss  0.614828, Average Loss  0.612804, Time  0.231289
2021-09-15 03:22:44.115426 : Epoch  2, Batch    467, Loss  0.618037, Average Loss  0.622469, Time  0.239818
2021-09-15 03:22:45.623779 : Epoch  3, Batch    562, Loss  0.611644, Average Loss  0.612855, Time  0.231627
2021-09-15 03:22:45.654966 : Epoch  2, Batch    468, Loss  0.631270, Average Loss  0.622496, Time  0.240659
2021-09-15 03:22:46.213748 : Epoch  1, Batch    773, Loss  0.865431, Average Loss  0.883997, Time  0.264992
2021-09-15 03:22:47.166452 : Epoch  3, Batch    563, Loss  0.601672, Average Loss  0.612771, Time  0.232856
2021-09-15 03:22:47.195066 : Epoch  2, Batch    469, Loss  0.612724, Average Loss  0.622393, Time  0.239160
2021-09-15 03:22:48.701706 : Epoch  3, Batch    564, Loss  0.609478, Average Loss  0.612781, Time  0.231245
2021-09-15 03:22:48.745362 : Epoch  2, Batch    470, Loss  0.621622, Average Loss  0.622349, Time  0.239727
2021-09-15 03:22:49.220014 : Epoch  1, Batch    774, Loss  0.886489, Average Loss  0.883965, Time  0.265100
2021-09-15 03:22:50.233622 : Epoch  3, Batch    565, Loss  0.607467, Average Loss  0.612771, Time  0.231309
2021-09-15 03:22:50.269832 : Epoch  2, Batch    471, Loss  0.632731, Average Loss  0.622408, Time  0.241991
2021-09-15 03:22:51.776844 : Epoch  3, Batch    566, Loss  0.612539, Average Loss  0.612783, Time  0.231521
2021-09-15 03:22:51.810902 : Epoch  2, Batch    472, Loss  0.613881, Average Loss  0.622339, Time  0.240181
2021-09-15 03:22:52.256720 : Epoch  1, Batch    775, Loss  0.858337, Average Loss  0.883945, Time  0.264997
2021-09-15 03:22:53.320615 : Epoch  3, Batch    567, Loss  0.609244, Average Loss  0.612765, Time  0.231676
2021-09-15 03:22:53.361200 : Epoch  2, Batch    473, Loss  0.620586, Average Loss  0.622303, Time  0.242708
2021-09-15 03:22:54.873487 : Epoch  3, Batch    568, Loss  0.608267, Average Loss  0.612783, Time  0.231723
2021-09-15 03:22:54.906979 : Epoch  2, Batch    474, Loss  0.615581, Average Loss  0.622250, Time  0.241417
2021-09-15 03:22:55.251461 : Epoch  1, Batch    776, Loss  0.882072, Average Loss  0.883865, Time  0.265329
2021-09-15 03:22:56.415300 : Epoch  3, Batch    569, Loss  0.612302, Average Loss  0.612853, Time  0.231197
2021-09-15 03:22:56.447949 : Epoch  2, Batch    475, Loss  0.612422, Average Loss  0.622187, Time  0.240690
2021-09-15 03:22:57.960086 : Epoch  3, Batch    570, Loss  0.617277, Average Loss  0.612847, Time  0.231754
2021-09-15 03:22:57.996613 : Epoch  2, Batch    476, Loss  0.616663, Average Loss  0.622150, Time  0.240264
2021-09-15 03:22:58.274852 : Epoch  1, Batch    777, Loss  0.876003, Average Loss  0.883707, Time  0.270865
2021-09-15 03:22:59.504319 : Epoch  3, Batch    571, Loss  0.619360, Average Loss  0.612845, Time  0.231500
2021-09-15 03:22:59.541850 : Epoch  2, Batch    477, Loss  0.622209, Average Loss  0.622120, Time  0.241588
2021-09-15 03:23:01.047292 : Epoch  3, Batch    572, Loss  0.610062, Average Loss  0.612795, Time  0.231538
2021-09-15 03:23:01.074889 : Epoch  2, Batch    478, Loss  0.627231, Average Loss  0.622117, Time  0.240057
2021-09-15 03:23:01.287334 : Epoch  1, Batch    778, Loss  0.876546, Average Loss  0.883608, Time  0.264631
2021-09-15 03:23:02.589438 : Epoch  3, Batch    573, Loss  0.621767, Average Loss  0.612918, Time  0.231549
2021-09-15 03:23:02.616189 : Epoch  2, Batch    479, Loss  0.615980, Average Loss  0.622045, Time  0.240812
2021-09-15 03:23:04.125711 : Epoch  3, Batch    574, Loss  0.612354, Average Loss  0.612932, Time  0.231479
2021-09-15 03:23:04.160040 : Epoch  2, Batch    480, Loss  0.618399, Average Loss  0.622058, Time  0.239805
2021-09-15 03:23:04.273329 : Epoch  1, Batch    779, Loss  0.890015, Average Loss  0.883512, Time  0.265146
2021-09-15 03:23:05.669383 : Epoch  3, Batch    575, Loss  0.615129, Average Loss  0.612962, Time  0.231400
2021-09-15 03:23:05.707086 : Epoch  2, Batch    481, Loss  0.630403, Average Loss  0.622064, Time  0.239171
2021-09-15 03:23:07.213629 : Epoch  3, Batch    576, Loss  0.603823, Average Loss  0.612931, Time  0.231693
2021-09-15 03:23:07.253856 : Epoch  2, Batch    482, Loss  0.617697, Average Loss  0.622039, Time  0.240123
2021-09-15 03:23:07.282390 : Epoch  1, Batch    780, Loss  0.894259, Average Loss  0.883561, Time  0.266217
2021-09-15 03:23:08.758298 : Epoch  3, Batch    577, Loss  0.621288, Average Loss  0.612968, Time  0.236943
2021-09-15 03:23:08.786368 : Epoch  2, Batch    483, Loss  0.615699, Average Loss  0.621982, Time  0.237122
2021-09-15 03:23:10.283495 : Epoch  1, Batch    781, Loss  0.856422, Average Loss  0.883500, Time  0.264933
2021-09-15 03:23:10.290307 : Epoch  3, Batch    578, Loss  0.616669, Average Loss  0.612981, Time  0.232322
2021-09-15 03:23:11.861108 : Epoch  3, Batch    579, Loss  0.609565, Average Loss  0.613004, Time  0.231395
2021-09-15 03:23:12.660886 : Epoch  2, Batch    484, Loss  0.610919, Average Loss  0.621891, Time  0.270185
2021-09-15 03:23:13.277221 : Epoch  1, Batch    782, Loss  0.876907, Average Loss  0.883453, Time  0.265454
2021-09-15 03:23:13.399389 : Epoch  3, Batch    580, Loss  0.607828, Average Loss  0.612989, Time  0.231655
2021-09-15 03:23:14.221929 : Epoch  2, Batch    485, Loss  0.614086, Average Loss  0.621838, Time  0.246122
2021-09-15 03:23:14.947119 : Epoch  3, Batch    581, Loss  0.611496, Average Loss  0.613011, Time  0.232963
2021-09-15 03:23:15.747134 : Epoch  2, Batch    486, Loss  0.613556, Average Loss  0.621810, Time  0.236605
2021-09-15 03:23:16.268465 : Epoch  1, Batch    783, Loss  0.874548, Average Loss  0.883309, Time  0.265877
2021-09-15 03:23:16.492408 : Epoch  3, Batch    582, Loss  0.617269, Average Loss  0.613036, Time  0.231455
2021-09-15 03:23:17.276748 : Epoch  2, Batch    487, Loss  0.617860, Average Loss  0.621788, Time  0.236006
2021-09-15 03:23:18.027105 : Epoch  3, Batch    583, Loss  0.612380, Average Loss  0.613078, Time  0.231468
2021-09-15 03:23:18.815491 : Epoch  2, Batch    488, Loss  0.629871, Average Loss  0.621804, Time  0.238642
2021-09-15 03:23:19.281491 : Epoch  1, Batch    784, Loss  0.878299, Average Loss  0.883277, Time  0.264837
2021-09-15 03:23:19.564467 : Epoch  3, Batch    584, Loss  0.620223, Average Loss  0.613120, Time  0.232582
2021-09-15 03:23:20.389561 : Epoch  2, Batch    489, Loss  0.612111, Average Loss  0.621690, Time  0.239448
2021-09-15 03:23:21.107889 : Epoch  3, Batch    585, Loss  0.609445, Average Loss  0.613076, Time  0.231441
2021-09-15 03:23:22.013517 : Epoch  2, Batch    490, Loss  0.625777, Average Loss  0.621667, Time  0.241881
2021-09-15 03:23:22.268418 : Epoch  1, Batch    785, Loss  0.863111, Average Loss  0.883268, Time  0.265665
2021-09-15 03:23:22.654913 : Epoch  3, Batch    586, Loss  0.615541, Average Loss  0.613077, Time  0.231444
2021-09-15 03:23:23.725192 : Epoch  2, Batch    491, Loss  0.626772, Average Loss  0.621683, Time  0.260991
2021-09-15 03:23:24.195807 : Epoch  3, Batch    587, Loss  0.604200, Average Loss  0.613056, Time  0.232049
2021-09-15 03:23:25.257827 : Epoch  1, Batch    786, Loss  0.897568, Average Loss  0.883363, Time  0.264056
2021-09-15 03:23:25.424968 : Epoch  2, Batch    492, Loss  0.624040, Average Loss  0.621638, Time  0.261894
2021-09-15 03:23:25.733987 : Epoch  3, Batch    588, Loss  0.606800, Average Loss  0.613052, Time  0.231189
2021-09-15 03:23:27.135157 : Epoch  2, Batch    493, Loss  0.611170, Average Loss  0.621538, Time  0.262944
2021-09-15 03:23:27.270414 : Epoch  3, Batch    589, Loss  0.607546, Average Loss  0.613070, Time  0.231291
2021-09-15 03:23:28.277552 : Epoch  1, Batch    787, Loss  0.881764, Average Loss  0.883366, Time  0.266008
2021-09-15 03:23:28.802347 : Epoch  3, Batch    590, Loss  0.615070, Average Loss  0.613095, Time  0.232080
2021-09-15 03:23:28.842408 : Epoch  2, Batch    494, Loss  0.609526, Average Loss  0.621457, Time  0.260015
2021-09-15 03:23:30.349418 : Epoch  3, Batch    591, Loss  0.603716, Average Loss  0.613062, Time  0.232037
2021-09-15 03:23:30.544900 : Epoch  2, Batch    495, Loss  0.611941, Average Loss  0.621387, Time  0.259746
2021-09-15 03:23:31.264992 : Epoch  1, Batch    788, Loss  0.871645, Average Loss  0.883268, Time  0.265643
2021-09-15 03:23:31.888355 : Epoch  3, Batch    592, Loss  0.614314, Average Loss  0.613022, Time  0.231452
2021-09-15 03:23:32.229056 : Epoch  2, Batch    496, Loss  0.611247, Average Loss  0.621334, Time  0.260586
2021-09-15 03:23:33.429043 : Epoch  3, Batch    593, Loss  0.613960, Average Loss  0.613011, Time  0.233053
2021-09-15 03:23:33.930964 : Epoch  2, Batch    497, Loss  0.627447, Average Loss  0.621313, Time  0.259019
2021-09-15 03:23:34.271185 : Epoch  1, Batch    789, Loss  0.881476, Average Loss  0.883212, Time  0.264251
2021-09-15 03:23:34.970411 : Epoch  3, Batch    594, Loss  0.610613, Average Loss  0.613005, Time  0.232714
2021-09-15 03:23:35.614968 : Epoch  2, Batch    498, Loss  0.623804, Average Loss  0.621300, Time  0.257393
2021-09-15 03:23:36.505015 : Epoch  3, Batch    595, Loss  0.620164, Average Loss  0.613074, Time  0.231638
2021-09-15 03:23:37.149502 : Epoch  2, Batch    499, Loss  0.617920, Average Loss  0.621216, Time  0.239019
2021-09-15 03:23:37.279893 : Epoch  1, Batch    790, Loss  0.878289, Average Loss  0.883277, Time  0.265450
2021-09-15 03:23:38.051027 : Epoch  3, Batch    596, Loss  0.619575, Average Loss  0.613072, Time  0.231588
2021-09-15 03:23:38.856884 : Epoch  2, Batch    500, Loss  0.624860, Average Loss  0.621190, Time  0.262387
2021-09-15 03:23:40.312710 : Epoch  1, Batch    791, Loss  0.895140, Average Loss  0.883359, Time  0.265685
2021-09-15 03:23:40.541729 : Epoch  2, Batch    501, Loss  0.612912, Average Loss  0.621067, Time  0.258673
2021-09-15 03:23:41.947677 : Epoch  3, Batch    597, Loss  0.615238, Average Loss  0.613119, Time  0.265367
2021-09-15 03:23:42.065875 : Epoch  2, Batch    502, Loss  0.624992, Average Loss  0.621071, Time  0.240093
2021-09-15 03:23:43.334563 : Epoch  1, Batch    792, Loss  0.877503, Average Loss  0.883397, Time  0.275622
2021-09-15 03:23:43.490056 : Epoch  3, Batch    598, Loss  0.607630, Average Loss  0.613084, Time  0.236779
2021-09-15 03:23:43.607385 : Epoch  2, Batch    503, Loss  0.619532, Average Loss  0.621032, Time  0.240135
2021-09-15 03:23:45.025217 : Epoch  3, Batch    599, Loss  0.608641, Average Loss  0.613111, Time  0.231625
2021-09-15 03:23:45.138816 : Epoch  2, Batch    504, Loss  0.612289, Average Loss  0.620987, Time  0.240009
2021-09-15 03:23:46.321166 : Epoch  1, Batch    793, Loss  0.858953, Average Loss  0.883205, Time  0.264565
2021-09-15 03:23:46.565385 : Epoch  3, Batch    600, Loss  0.605609, Average Loss  0.613071, Time  0.231272
2021-09-15 03:23:46.662353 : Epoch  2, Batch    505, Loss  0.606447, Average Loss  0.620895, Time  0.237697
2021-09-15 03:23:48.114177 : Epoch  3, Batch    601, Loss  0.603007, Average Loss  0.612947, Time  0.232101
2021-09-15 03:23:48.192011 : Epoch  2, Batch    506, Loss  0.618295, Average Loss  0.620878, Time  0.240330
2021-09-15 03:23:49.313171 : Epoch  1, Batch    794, Loss  0.859897, Average Loss  0.883043, Time  0.265214
2021-09-15 03:23:49.659361 : Epoch  3, Batch    602, Loss  0.611335, Average Loss  0.613009, Time  0.231073
2021-09-15 03:23:49.732200 : Epoch  2, Batch    507, Loss  0.616992, Average Loss  0.620854, Time  0.238026
2021-09-15 03:23:51.196357 : Epoch  3, Batch    603, Loss  0.609509, Average Loss  0.613032, Time  0.231592
2021-09-15 03:23:51.285050 : Epoch  2, Batch    508, Loss  0.622480, Average Loss  0.620884, Time  0.244795
2021-09-15 03:23:52.302023 : Epoch  1, Batch    795, Loss  0.877488, Average Loss  0.883059, Time  0.264674
2021-09-15 03:23:52.742066 : Epoch  3, Batch    604, Loss  0.611088, Average Loss  0.613024, Time  0.231856
2021-09-15 03:23:52.811300 : Epoch  2, Batch    509, Loss  0.612236, Average Loss  0.620815, Time  0.238379
2021-09-15 03:23:54.285323 : Epoch  3, Batch    605, Loss  0.610936, Average Loss  0.613049, Time  0.232568
2021-09-15 03:23:54.345885 : Epoch  2, Batch    510, Loss  0.621714, Average Loss  0.620768, Time  0.239410
2021-09-15 03:23:55.314971 : Epoch  1, Batch    796, Loss  0.893143, Average Loss  0.883079, Time  0.264239
2021-09-15 03:23:55.829339 : Epoch  3, Batch    606, Loss  0.618255, Average Loss  0.613102, Time  0.232358
2021-09-15 03:23:55.891494 : Epoch  2, Batch    511, Loss  0.617704, Average Loss  0.620756, Time  0.241703
2021-09-15 03:23:57.381568 : Epoch  3, Batch    607, Loss  0.621593, Average Loss  0.613162, Time  0.232745
2021-09-15 03:23:57.445592 : Epoch  2, Batch    512, Loss  0.624131, Average Loss  0.620766, Time  0.241021
2021-09-15 03:23:58.297212 : Epoch  1, Batch    797, Loss  0.883818, Average Loss  0.883116, Time  0.265153
2021-09-15 03:23:58.923890 : Epoch  3, Batch    608, Loss  0.615961, Average Loss  0.613176, Time  0.231397
2021-09-15 03:23:59.153480 : Epoch  2, Batch    513, Loss  0.610872, Average Loss  0.620695, Time  0.262465
2021-09-15 03:24:00.516434 : Epoch  3, Batch    609, Loss  0.615174, Average Loss  0.613154, Time  0.231484
2021-09-15 03:24:01.296342 : Epoch  1, Batch    798, Loss  0.897875, Average Loss  0.883140, Time  0.265010
2021-09-15 03:24:02.062116 : Epoch  3, Batch    610, Loss  0.604950, Average Loss  0.613051, Time  0.232444
2021-09-15 03:24:03.603660 : Epoch  3, Batch    611, Loss  0.595143, Average Loss  0.612929, Time  0.231330
2021-09-15 03:24:04.314135 : Epoch  1, Batch    799, Loss  0.878950, Average Loss  0.883173, Time  0.264637
2021-09-15 03:24:05.155887 : Epoch  3, Batch    612, Loss  0.612842, Average Loss  0.612927, Time  0.234866
2021-09-15 03:24:06.702158 : Epoch  3, Batch    613, Loss  0.608217, Average Loss  0.612873, Time  0.231229
2021-09-15 03:24:07.322848 : Epoch  1, Batch    800, Loss  0.874881, Average Loss  0.883128, Time  0.267457
2021-09-15 03:24:08.246645 : Epoch  3, Batch    614, Loss  0.621479, Average Loss  0.612956, Time  0.234020
2021-09-15 03:24:09.808355 : Epoch  3, Batch    615, Loss  0.607571, Average Loss  0.612922, Time  0.231047
2021-09-15 03:24:11.343730 : Epoch  3, Batch    616, Loss  0.613679, Average Loss  0.612937, Time  0.231863
2021-09-15 03:24:12.884149 : Epoch  3, Batch    617, Loss  0.619245, Average Loss  0.612959, Time  0.230867
2021-09-15 03:24:14.431277 : Epoch  3, Batch    618, Loss  0.616479, Average Loss  0.612964, Time  0.230859
2021-09-15 03:24:15.979359 : Epoch  3, Batch    619, Loss  0.627352, Average Loss  0.612979, Time  0.230956
2021-09-15 03:24:17.526701 : Epoch  3, Batch    620, Loss  0.607872, Average Loss  0.612972, Time  0.230734
2021-09-15 03:24:19.060218 : Epoch  3, Batch    621, Loss  0.598846, Average Loss  0.612828, Time  0.231900
2021-09-15 03:24:20.611904 : Epoch  3, Batch    622, Loss  0.612776, Average Loss  0.612813, Time  0.231134
2021-09-15 03:24:22.162661 : Epoch  3, Batch    623, Loss  0.611075, Average Loss  0.612807, Time  0.233523
2021-09-15 03:24:23.705939 : Epoch  3, Batch    624, Loss  0.615585, Average Loss  0.612813, Time  0.230777
2021-09-15 03:24:25.247107 : Epoch  3, Batch    625, Loss  0.618950, Average Loss  0.612832, Time  0.230327
2021-09-15 03:24:26.792238 : Epoch  3, Batch    626, Loss  0.627529, Average Loss  0.612886, Time  0.231822
2021-09-15 03:24:57.663695 : CheckPoint: Validation Loss  0.00026401, Best Loss  0.00025447
2021-09-15 03:24:59.192897 : Epoch  2, Batch    514, Loss  0.613038, Average Loss  0.620610, Time  0.238220
2021-09-15 03:25:00.723709 : Epoch  2, Batch    515, Loss  0.617008, Average Loss  0.620605, Time  0.239717
2021-09-15 03:25:02.253020 : Epoch  2, Batch    516, Loss  0.610831, Average Loss  0.620595, Time  0.238822
2021-09-15 03:25:03.777454 : Epoch  2, Batch    517, Loss  0.615297, Average Loss  0.620539, Time  0.237533
2021-09-15 03:25:05.329402 : Epoch  2, Batch    518, Loss  0.615880, Average Loss  0.620551, Time  0.239760
2021-09-15 03:25:06.858298 : Epoch  2, Batch    519, Loss  0.613048, Average Loss  0.620510, Time  0.237804
2021-09-15 03:25:08.407893 : Epoch  2, Batch    520, Loss  0.613088, Average Loss  0.620452, Time  0.241410
2021-09-15 03:25:09.949382 : Epoch  2, Batch    521, Loss  0.617518, Average Loss  0.620388, Time  0.240587
2021-09-15 03:25:11.471201 : Epoch  2, Batch    522, Loss  0.603977, Average Loss  0.620350, Time  0.238385
2021-09-15 03:25:13.014885 : Epoch  2, Batch    523, Loss  0.614071, Average Loss  0.620255, Time  0.242256
2021-09-15 03:25:14.701780 : Epoch  2, Batch    524, Loss  0.620069, Average Loss  0.620252, Time  0.257713
2021-09-15 03:25:16.388936 : Epoch  2, Batch    525, Loss  0.617649, Average Loss  0.620220, Time  0.257771
2021-09-15 03:25:18.092543 : Epoch  2, Batch    526, Loss  0.615008, Average Loss  0.620165, Time  0.258978
2021-09-15 03:25:19.799274 : Epoch  2, Batch    527, Loss  0.616891, Average Loss  0.620158, Time  0.260862
2021-09-15 03:25:21.565150 : Epoch  2, Batch    528, Loss  0.619084, Average Loss  0.620146, Time  0.257679
2021-09-15 03:25:23.103202 : Epoch  2, Batch    529, Loss  0.616880, Average Loss  0.620080, Time  0.237769
2021-09-15 03:25:24.625733 : CheckPoint: Validation Loss  0.00026033, Best Loss  0.00024882
2021-09-15 03:25:24.657791 : Epoch  2, Batch    530, Loss  0.618775, Average Loss  0.620016, Time  0.244524
2021-09-15 03:25:26.173740 : Epoch  3, Batch    627, Loss  0.617325, Average Loss  0.612949, Time  0.233029
2021-09-15 03:25:26.208424 : Epoch  2, Batch    531, Loss  0.624683, Average Loss  0.620052, Time  0.240396
2021-09-15 03:25:27.717342 : Epoch  3, Batch    628, Loss  0.601609, Average Loss  0.612932, Time  0.233297
2021-09-15 03:25:27.746770 : Epoch  2, Batch    532, Loss  0.627800, Average Loss  0.620048, Time  0.240941
2021-09-15 03:25:29.261238 : Epoch  3, Batch    629, Loss  0.610720, Average Loss  0.612951, Time  0.231467
2021-09-15 03:25:29.295358 : Epoch  2, Batch    533, Loss  0.610442, Average Loss  0.619978, Time  0.239227
2021-09-15 03:25:30.808548 : Epoch  3, Batch    630, Loss  0.613380, Average Loss  0.612950, Time  0.231508
2021-09-15 03:25:30.849091 : Epoch  2, Batch    534, Loss  0.606905, Average Loss  0.619874, Time  0.238424
2021-09-15 03:25:32.366081 : Epoch  3, Batch    631, Loss  0.609613, Average Loss  0.612923, Time  0.231658
2021-09-15 03:25:32.404886 : Epoch  2, Batch    535, Loss  0.611135, Average Loss  0.619822, Time  0.241084
2021-09-15 03:25:33.918050 : Epoch  3, Batch    632, Loss  0.605520, Average Loss  0.612876, Time  0.231588
2021-09-15 03:25:33.950344 : Epoch  2, Batch    536, Loss  0.626585, Average Loss  0.619784, Time  0.238595
2021-09-15 03:25:35.463402 : Epoch  3, Batch    633, Loss  0.617990, Average Loss  0.612942, Time  0.231523
2021-09-15 03:25:35.498782 : Epoch  2, Batch    537, Loss  0.629146, Average Loss  0.619795, Time  0.236531
2021-09-15 03:25:37.022882 : Epoch  3, Batch    634, Loss  0.614446, Average Loss  0.612968, Time  0.232118
2021-09-15 03:25:37.057268 : Epoch  2, Batch    538, Loss  0.611066, Average Loss  0.619709, Time  0.237194
2021-09-15 03:25:38.571964 : Epoch  3, Batch    635, Loss  0.613164, Average Loss  0.612978, Time  0.231308
2021-09-15 03:25:38.753461 : Epoch  2, Batch    539, Loss  0.617499, Average Loss  0.619600, Time  0.259131
2021-09-15 03:25:40.136968 : Epoch  3, Batch    636, Loss  0.607790, Average Loss  0.612967, Time  0.231682
2021-09-15 03:25:40.456573 : Epoch  2, Batch    540, Loss  0.615857, Average Loss  0.619556, Time  0.258217
2021-09-15 03:25:41.690174 : Epoch  3, Batch    637, Loss  0.627104, Average Loss  0.613016, Time  0.231317
2021-09-15 03:25:42.150509 : Epoch  2, Batch    541, Loss  0.612659, Average Loss  0.619528, Time  0.263133
2021-09-15 03:25:43.249017 : Epoch  3, Batch    638, Loss  0.612982, Average Loss  0.613003, Time  0.231807
2021-09-15 03:25:43.680382 : Epoch  2, Batch    542, Loss  0.616540, Average Loss  0.619512, Time  0.240892
2021-09-15 03:25:44.797987 : Epoch  3, Batch    639, Loss  0.620012, Average Loss  0.613048, Time  0.231443
2021-09-15 03:25:45.212477 : Epoch  2, Batch    543, Loss  0.638002, Average Loss  0.619632, Time  0.240347
2021-09-15 03:25:46.345568 : Epoch  3, Batch    640, Loss  0.607201, Average Loss  0.613017, Time  0.231207
2021-09-15 03:25:46.744881 : Epoch  2, Batch    544, Loss  0.616371, Average Loss  0.619608, Time  0.241507
2021-09-15 03:25:47.892206 : Epoch  3, Batch    641, Loss  0.608718, Average Loss  0.612990, Time  0.231494
2021-09-15 03:25:48.281344 : Epoch  2, Batch    545, Loss  0.624285, Average Loss  0.619546, Time  0.238549
2021-09-15 03:25:49.457661 : Epoch  3, Batch    642, Loss  0.603326, Average Loss  0.612940, Time  0.231919
2021-09-15 03:25:49.814353 : Epoch  2, Batch    546, Loss  0.624951, Average Loss  0.619540, Time  0.239201
2021-09-15 03:25:51.008168 : Epoch  3, Batch    643, Loss  0.620351, Average Loss  0.612993, Time  0.231309
2021-09-15 03:25:51.350071 : Epoch  2, Batch    547, Loss  0.613614, Average Loss  0.619512, Time  0.240715
2021-09-15 03:25:52.566398 : Epoch  3, Batch    644, Loss  0.605206, Average Loss  0.612961, Time  0.231188
2021-09-15 03:25:52.704848 : Epoch  3, Batch    645, Loss  0.622237, Average Loss  0.613040, Time  0.092348
2021-09-15 03:25:52.868780 : Epoch  2, Batch    548, Loss  0.616016, Average Loss  0.619512, Time  0.240666
2021-09-15 03:25:54.252873 : Epoch  3, Batch    646, Loss  0.608627, Average Loss  0.613000, Time  0.234834
2021-09-15 03:25:54.388359 : Epoch  2, Batch    549, Loss  0.626069, Average Loss  0.619538, Time  0.240473
2021-09-15 03:25:55.798198 : Epoch  3, Batch    647, Loss  0.623729, Average Loss  0.612997, Time  0.231529
2021-09-15 03:25:55.904790 : Epoch  2, Batch    550, Loss  0.611583, Average Loss  0.619476, Time  0.241281
2021-09-15 03:25:57.345192 : Epoch  3, Batch    648, Loss  0.627916, Average Loss  0.613077, Time  0.232234
2021-09-15 03:25:57.427962 : Epoch  2, Batch    551, Loss  0.615901, Average Loss  0.619485, Time  0.239294
2021-09-15 03:25:58.896994 : Epoch  3, Batch    649, Loss  0.622437, Average Loss  0.613106, Time  0.232220
2021-09-15 03:25:58.962825 : Epoch  2, Batch    552, Loss  0.624759, Average Loss  0.619490, Time  0.240983
2021-09-15 03:26:00.438984 : Epoch  3, Batch    650, Loss  0.628337, Average Loss  0.613124, Time  0.231226
2021-09-15 03:26:00.502083 : Epoch  2, Batch    553, Loss  0.618161, Average Loss  0.619421, Time  0.239084
2021-09-15 03:26:01.985865 : Epoch  3, Batch    651, Loss  0.617683, Average Loss  0.613130, Time  0.232163
2021-09-15 03:26:02.024884 : Epoch  2, Batch    554, Loss  0.609256, Average Loss  0.619303, Time  0.238934
2021-09-15 03:26:03.526608 : Epoch  3, Batch    652, Loss  0.619387, Average Loss  0.613113, Time  0.231373
2021-09-15 03:26:03.558382 : Epoch  2, Batch    555, Loss  0.620934, Average Loss  0.619312, Time  0.239904
2021-09-15 03:26:05.070020 : Epoch  3, Batch    653, Loss  0.629415, Average Loss  0.613247, Time  0.231590
2021-09-15 03:26:05.123497 : Epoch  2, Batch    556, Loss  0.627348, Average Loss  0.619354, Time  0.238880
2021-09-15 03:26:06.637187 : Epoch  3, Batch    654, Loss  0.623528, Average Loss  0.613312, Time  0.231630
2021-09-15 03:26:06.674436 : Epoch  2, Batch    557, Loss  0.617301, Average Loss  0.619334, Time  0.237367
2021-09-15 03:26:08.185929 : Epoch  3, Batch    655, Loss  0.625733, Average Loss  0.613372, Time  0.231655
2021-09-15 03:26:08.223836 : Epoch  2, Batch    558, Loss  0.623040, Average Loss  0.619324, Time  0.241728
2021-09-15 03:26:09.733910 : Epoch  3, Batch    656, Loss  0.628977, Average Loss  0.613407, Time  0.231492
2021-09-15 03:26:09.774414 : Epoch  2, Batch    559, Loss  0.625862, Average Loss  0.619376, Time  0.241677
2021-09-15 03:26:11.278809 : Epoch  3, Batch    657, Loss  0.619730, Average Loss  0.613444, Time  0.231287
2021-09-15 03:26:11.314004 : Epoch  2, Batch    560, Loss  0.619532, Average Loss  0.619326, Time  0.240010
2021-09-15 03:26:12.824382 : Epoch  3, Batch    658, Loss  0.631606, Average Loss  0.613535, Time  0.231481
2021-09-15 03:26:13.012452 : Epoch  2, Batch    561, Loss  0.612666, Average Loss  0.619259, Time  0.261758
2021-09-15 03:26:14.366072 : Epoch  3, Batch    659, Loss  0.624712, Average Loss  0.613621, Time  0.231779
2021-09-15 03:26:14.708878 : Epoch  2, Batch    562, Loss  0.613809, Average Loss  0.619179, Time  0.260636
2021-09-15 03:26:15.909348 : Epoch  3, Batch    660, Loss  0.616236, Average Loss  0.613667, Time  0.232018
2021-09-15 03:26:16.393450 : Epoch  2, Batch    563, Loss  0.615803, Average Loss  0.619107, Time  0.259847
2021-09-15 03:26:17.453801 : Epoch  3, Batch    661, Loss  0.624439, Average Loss  0.613672, Time  0.231557
2021-09-15 03:26:18.069002 : Epoch  2, Batch    564, Loss  0.612052, Average Loss  0.619140, Time  0.259609
2021-09-15 03:26:19.007928 : Epoch  3, Batch    662, Loss  0.623626, Average Loss  0.613709, Time  0.231603
2021-09-15 03:26:19.757568 : Epoch  2, Batch    565, Loss  0.618082, Average Loss  0.619168, Time  0.257832
2021-09-15 03:26:20.561128 : Epoch  3, Batch    663, Loss  0.613829, Average Loss  0.613693, Time  0.231503
2021-09-15 03:26:21.311940 : Epoch  2, Batch    566, Loss  0.626623, Average Loss  0.619173, Time  0.239631
2021-09-15 03:26:22.114655 : Epoch  3, Batch    664, Loss  0.612729, Average Loss  0.613657, Time  0.231028
2021-09-15 03:26:22.843062 : Epoch  2, Batch    567, Loss  0.624724, Average Loss  0.619252, Time  0.238743
2021-09-15 03:26:23.659021 : Epoch  3, Batch    665, Loss  0.626283, Average Loss  0.613733, Time  0.231299
2021-09-15 03:26:24.387049 : Epoch  2, Batch    568, Loss  0.611617, Average Loss  0.619163, Time  0.240738
2021-09-15 03:26:25.212055 : Epoch  3, Batch    666, Loss  0.614587, Average Loss  0.613701, Time  0.231833
2021-09-15 03:26:25.933441 : Epoch  2, Batch    569, Loss  0.601231, Average Loss  0.619069, Time  0.239377
2021-09-15 03:26:26.760653 : Epoch  3, Batch    667, Loss  0.612376, Average Loss  0.613695, Time  0.231116
2021-09-15 03:26:27.457291 : Epoch  2, Batch    570, Loss  0.624389, Average Loss  0.619041, Time  0.238694
2021-09-15 03:26:28.320413 : Epoch  3, Batch    668, Loss  0.614832, Average Loss  0.613712, Time  0.233137
2021-09-15 03:26:28.983790 : Epoch  2, Batch    571, Loss  0.615626, Average Loss  0.619026, Time  0.237881
2021-09-15 03:26:29.874326 : Epoch  3, Batch    669, Loss  0.620077, Average Loss  0.613727, Time  0.232867
2021-09-15 03:26:30.536140 : Epoch  2, Batch    572, Loss  0.618183, Average Loss  0.619006, Time  0.239692
2021-09-15 03:26:31.427669 : Epoch  3, Batch    670, Loss  0.620458, Average Loss  0.613804, Time  0.232507
2021-09-15 03:26:32.220710 : Epoch  2, Batch    573, Loss  0.610288, Average Loss  0.618927, Time  0.258296
2021-09-15 03:26:32.968853 : Epoch  3, Batch    671, Loss  0.628066, Average Loss  0.613870, Time  0.232141
2021-09-15 03:26:33.752227 : Epoch  2, Batch    574, Loss  0.618385, Average Loss  0.618882, Time  0.240234
2021-09-15 03:26:34.511083 : Epoch  3, Batch    672, Loss  0.612979, Average Loss  0.613899, Time  0.231453
2021-09-15 03:26:35.299431 : Epoch  2, Batch    575, Loss  0.633897, Average Loss  0.618942, Time  0.242255
2021-09-15 03:26:36.067094 : Epoch  3, Batch    673, Loss  0.610735, Average Loss  0.613971, Time  0.231444
2021-09-15 03:26:36.843103 : Epoch  2, Batch    576, Loss  0.618190, Average Loss  0.618924, Time  0.240184
2021-09-15 03:26:37.616225 : Epoch  3, Batch    674, Loss  0.616745, Average Loss  0.613965, Time  0.231552
2021-09-15 03:26:38.386938 : Epoch  2, Batch    577, Loss  0.617370, Average Loss  0.618887, Time  0.238958
2021-09-15 03:26:39.162092 : Epoch  3, Batch    675, Loss  0.622456, Average Loss  0.614110, Time  0.232170
2021-09-15 03:26:39.924012 : Epoch  2, Batch    578, Loss  0.612188, Average Loss  0.618871, Time  0.238332
2021-09-15 03:26:40.717817 : Epoch  3, Batch    676, Loss  0.616636, Average Loss  0.614125, Time  0.231329
2021-09-15 03:26:41.468014 : Epoch  2, Batch    579, Loss  0.601885, Average Loss  0.618800, Time  0.238516
2021-09-15 03:26:42.261106 : Epoch  3, Batch    677, Loss  0.598217, Average Loss  0.614058, Time  0.231120
2021-09-15 03:26:43.008598 : Epoch  2, Batch    580, Loss  0.619959, Average Loss  0.618755, Time  0.239659
2021-09-15 03:26:43.805668 : Epoch  3, Batch    678, Loss  0.627676, Average Loss  0.614157, Time  0.231270
2021-09-15 03:26:44.690413 : Epoch  2, Batch    581, Loss  0.619376, Average Loss  0.618756, Time  0.257780
2021-09-15 03:26:45.357017 : Epoch  3, Batch    679, Loss  0.617587, Average Loss  0.614234, Time  0.231541
2021-09-15 03:26:46.380631 : Epoch  2, Batch    582, Loss  0.615461, Average Loss  0.618731, Time  0.263631
2021-09-15 03:26:46.898843 : Epoch  3, Batch    680, Loss  0.623437, Average Loss  0.614322, Time  0.231354
2021-09-15 03:26:47.920811 : Epoch  2, Batch    583, Loss  0.608343, Average Loss  0.618660, Time  0.240353
2021-09-15 03:26:48.459047 : Epoch  3, Batch    681, Loss  0.602727, Average Loss  0.614281, Time  0.231092
2021-09-15 03:26:50.019128 : Epoch  3, Batch    682, Loss  0.611300, Average Loss  0.614257, Time  0.231582
2021-09-15 03:26:51.591708 : Epoch  3, Batch    683, Loss  0.620672, Average Loss  0.614344, Time  0.231581
2021-09-15 03:26:52.009020 : Epoch  2, Batch    584, Loss  0.626626, Average Loss  0.618677, Time  0.276441
2021-09-15 03:26:53.140382 : Epoch  3, Batch    684, Loss  0.607356, Average Loss  0.614269, Time  0.231826
2021-09-15 03:26:53.549836 : Epoch  2, Batch    585, Loss  0.621647, Average Loss  0.618693, Time  0.254066
2021-09-15 03:26:54.693978 : Epoch  3, Batch    685, Loss  0.614378, Average Loss  0.614206, Time  0.231404
2021-09-15 03:26:55.079055 : Epoch  2, Batch    586, Loss  0.625009, Average Loss  0.618698, Time  0.239805
2021-09-15 03:26:56.250697 : Epoch  3, Batch    686, Loss  0.614572, Average Loss  0.614226, Time  0.232318
2021-09-15 03:26:56.610930 : Epoch  2, Batch    587, Loss  0.613305, Average Loss  0.618714, Time  0.242099
2021-09-15 03:26:57.807021 : Epoch  3, Batch    687, Loss  0.608050, Average Loss  0.614153, Time  0.231742
2021-09-15 03:26:58.156868 : Epoch  2, Batch    588, Loss  0.610572, Average Loss  0.618627, Time  0.241748
2021-09-15 03:26:59.350711 : Epoch  3, Batch    688, Loss  0.609621, Average Loss  0.614122, Time  0.231442
2021-09-15 03:26:59.687813 : Epoch  2, Batch    589, Loss  0.613304, Average Loss  0.618535, Time  0.241027
2021-09-15 03:27:00.897734 : Epoch  3, Batch    689, Loss  0.599672, Average Loss  0.614068, Time  0.232651
2021-09-15 03:27:01.221915 : Epoch  2, Batch    590, Loss  0.608408, Average Loss  0.618543, Time  0.240347
2021-09-15 03:27:02.443094 : Epoch  3, Batch    690, Loss  0.614657, Average Loss  0.614031, Time  0.231370
2021-09-15 03:27:02.752373 : Epoch  2, Batch    591, Loss  0.617210, Average Loss  0.618492, Time  0.239283
2021-09-15 03:27:03.989011 : Epoch  3, Batch    691, Loss  0.611005, Average Loss  0.614024, Time  0.231414
2021-09-15 03:27:04.296938 : Epoch  2, Batch    592, Loss  0.624653, Average Loss  0.618569, Time  0.239601
2021-09-15 03:27:05.537358 : Epoch  3, Batch    692, Loss  0.618114, Average Loss  0.614070, Time  0.233757
2021-09-15 03:27:05.833917 : Epoch  2, Batch    593, Loss  0.623935, Average Loss  0.618610, Time  0.241527
2021-09-15 03:27:07.091485 : Epoch  3, Batch    693, Loss  0.606161, Average Loss  0.614098, Time  0.231620
2021-09-15 03:27:07.371994 : Epoch  2, Batch    594, Loss  0.609422, Average Loss  0.618569, Time  0.240516
2021-09-15 03:27:08.633268 : Epoch  3, Batch    694, Loss  0.616668, Average Loss  0.614137, Time  0.231245
2021-09-15 03:27:08.898935 : Epoch  2, Batch    595, Loss  0.619065, Average Loss  0.618615, Time  0.237314
2021-09-15 03:27:10.179378 : Epoch  3, Batch    695, Loss  0.602348, Average Loss  0.614004, Time  0.231656
2021-09-15 03:27:10.443079 : Epoch  2, Batch    596, Loss  0.608557, Average Loss  0.618514, Time  0.241784
2021-09-15 03:27:11.719022 : Epoch  3, Batch    696, Loss  0.620215, Average Loss  0.613973, Time  0.231883
2021-09-15 03:27:12.137027 : Epoch  2, Batch    597, Loss  0.617598, Average Loss  0.618491, Time  0.262770
2021-09-15 03:27:13.268373 : Epoch  3, Batch    697, Loss  0.608445, Average Loss  0.613979, Time  0.233237
2021-09-15 03:27:13.816962 : Epoch  2, Batch    598, Loss  0.621850, Average Loss  0.618506, Time  0.257793
2021-09-15 03:27:15.500027 : Epoch  2, Batch    599, Loss  0.626709, Average Loss  0.618566, Time  0.257397
2021-09-15 03:27:17.123231 : Epoch  3, Batch    698, Loss  0.617935, Average Loss  0.613983, Time  0.269070
2021-09-15 03:27:17.202872 : Epoch  2, Batch    600, Loss  0.614530, Average Loss  0.618557, Time  0.261018
2021-09-15 03:27:18.677995 : Epoch  3, Batch    699, Loss  0.612620, Average Loss  0.613970, Time  0.247957
2021-09-15 03:27:18.891944 : Epoch  2, Batch    601, Loss  0.616738, Average Loss  0.618536, Time  0.258100
2021-09-15 03:27:20.217371 : Epoch  3, Batch    700, Loss  0.603862, Average Loss  0.613933, Time  0.233354
2021-09-15 03:27:20.574278 : Epoch  2, Batch    602, Loss  0.620568, Average Loss  0.618507, Time  0.259362
2021-09-15 03:27:21.757024 : Epoch  3, Batch    701, Loss  0.617943, Average Loss  0.613961, Time  0.231480
2021-09-15 03:27:22.114971 : Epoch  2, Batch    603, Loss  0.622016, Average Loss  0.618465, Time  0.238301
2021-09-15 03:27:23.302598 : Epoch  3, Batch    702, Loss  0.615955, Average Loss  0.613969, Time  0.232950
2021-09-15 03:27:23.663906 : Epoch  2, Batch    604, Loss  0.610419, Average Loss  0.618383, Time  0.240459
2021-09-15 03:27:24.832195 : Epoch  3, Batch    703, Loss  0.617242, Average Loss  0.613981, Time  0.231258
2021-09-15 03:27:25.193771 : Epoch  2, Batch    605, Loss  0.613130, Average Loss  0.618324, Time  0.240213
2021-09-15 03:27:26.382051 : Epoch  3, Batch    704, Loss  0.608084, Average Loss  0.613941, Time  0.232248
2021-09-15 03:27:26.721788 : Epoch  2, Batch    606, Loss  0.634356, Average Loss  0.618416, Time  0.238661
2021-09-15 03:27:27.921149 : Epoch  3, Batch    705, Loss  0.614405, Average Loss  0.613928, Time  0.231150
2021-09-15 03:27:28.246792 : Epoch  2, Batch    607, Loss  0.618789, Average Loss  0.618430, Time  0.240600
2021-09-15 03:27:29.460850 : Epoch  3, Batch    706, Loss  0.613983, Average Loss  0.613873, Time  0.231418
2021-09-15 03:27:29.781850 : Epoch  2, Batch    608, Loss  0.610652, Average Loss  0.618400, Time  0.239268
2021-09-15 03:27:31.003841 : Epoch  3, Batch    707, Loss  0.594714, Average Loss  0.613744, Time  0.231625
2021-09-15 03:27:31.316194 : Epoch  2, Batch    609, Loss  0.618559, Average Loss  0.618450, Time  0.241578
2021-09-15 03:27:32.541574 : Epoch  3, Batch    708, Loss  0.600097, Average Loss  0.613666, Time  0.231445
2021-09-15 03:27:32.844910 : Epoch  2, Batch    610, Loss  0.617336, Average Loss  0.618420, Time  0.239917
2021-09-15 03:27:34.081120 : Epoch  3, Batch    709, Loss  0.615991, Average Loss  0.613651, Time  0.231323
2021-09-15 03:27:34.365995 : Epoch  2, Batch    611, Loss  0.617825, Average Loss  0.618413, Time  0.238990
2021-09-15 03:27:35.626257 : Epoch  3, Batch    710, Loss  0.619606, Average Loss  0.613711, Time  0.231157
2021-09-15 03:27:35.903001 : Epoch  2, Batch    612, Loss  0.616793, Average Loss  0.618372, Time  0.242777
2021-09-15 03:27:37.163822 : Epoch  3, Batch    711, Loss  0.614376, Average Loss  0.613702, Time  0.232712
2021-09-15 03:27:37.449746 : Epoch  2, Batch    613, Loss  0.621689, Average Loss  0.618349, Time  0.239696
2021-09-15 03:27:38.703151 : Epoch  3, Batch    712, Loss  0.615127, Average Loss  0.613742, Time  0.231435
2021-09-15 03:27:40.247019 : Epoch  3, Batch    713, Loss  0.621959, Average Loss  0.613802, Time  0.231380
2021-09-15 03:27:41.793369 : Epoch  3, Batch    714, Loss  0.613239, Average Loss  0.613828, Time  0.231098
2021-09-15 03:27:43.337597 : Epoch  3, Batch    715, Loss  0.613516, Average Loss  0.613852, Time  0.231584
2021-09-15 03:27:44.885350 : Epoch  3, Batch    716, Loss  0.599844, Average Loss  0.613776, Time  0.231691
2021-09-15 03:27:46.419432 : Epoch  3, Batch    717, Loss  0.612531, Average Loss  0.613810, Time  0.231397
2021-09-15 03:27:47.966386 : Epoch  3, Batch    718, Loss  0.608502, Average Loss  0.613801, Time  0.231740
2021-09-15 03:27:49.499049 : Epoch  3, Batch    719, Loss  0.612377, Average Loss  0.613831, Time  0.231666
2021-09-15 03:27:51.042447 : Epoch  3, Batch    720, Loss  0.604454, Average Loss  0.613758, Time  0.232309
2021-09-15 03:27:52.585002 : Epoch  3, Batch    721, Loss  0.622754, Average Loss  0.613800, Time  0.231732
2021-09-15 03:27:54.124414 : Epoch  3, Batch    722, Loss  0.604805, Average Loss  0.613795, Time  0.232332
2021-09-15 03:27:55.663841 : Epoch  3, Batch    723, Loss  0.609576, Average Loss  0.613809, Time  0.231706
2021-09-15 03:27:57.211871 : Epoch  3, Batch    724, Loss  0.623518, Average Loss  0.613874, Time  0.231565
2021-09-15 03:27:58.748838 : Epoch  3, Batch    725, Loss  0.611567, Average Loss  0.613835, Time  0.231219
2021-09-15 03:28:00.291374 : Epoch  3, Batch    726, Loss  0.608185, Average Loss  0.613822, Time  0.231501
2021-09-15 03:28:35.301717 : CheckPoint: Validation Loss  0.00026437, Best Loss  0.00025447
2021-09-15 03:28:36.831078 : Epoch  2, Batch    614, Loss  0.609764, Average Loss  0.618331, Time  0.239311
2021-09-15 03:28:38.352932 : Epoch  2, Batch    615, Loss  0.606652, Average Loss  0.618264, Time  0.240233
2021-09-15 03:28:40.033960 : Epoch  2, Batch    616, Loss  0.617600, Average Loss  0.618241, Time  0.259271
2021-09-15 03:28:41.748042 : Epoch  2, Batch    617, Loss  0.615327, Average Loss  0.618194, Time  0.262849
2021-09-15 03:28:43.442797 : Epoch  2, Batch    618, Loss  0.612585, Average Loss  0.618207, Time  0.257538
2021-09-15 03:28:44.982096 : Epoch  2, Batch    619, Loss  0.623681, Average Loss  0.618227, Time  0.240961
2021-09-15 03:28:46.535004 : Epoch  2, Batch    620, Loss  0.607486, Average Loss  0.618200, Time  0.241207
2021-09-15 03:28:46.994554 : CheckPoint: Validation Loss  0.00029960, Best Loss  0.00029960
2021-09-15 03:28:47.018781 : Best Model Updated
2021-09-15 03:28:48.077058 : Epoch  2, Batch    621, Loss  0.609169, Average Loss  0.618115, Time  0.241867
2021-09-15 03:28:49.613353 : Epoch  2, Batch    622, Loss  0.612427, Average Loss  0.618056, Time  0.240170
2021-09-15 03:28:50.660353 : Epoch  1, Batch    801, Loss  0.901328, Average Loss  0.883267, Time  0.266301
2021-09-15 03:28:51.145007 : Epoch  2, Batch    623, Loss  0.615126, Average Loss  0.618011, Time  0.240958
2021-09-15 03:28:52.688034 : Epoch  2, Batch    624, Loss  0.612577, Average Loss  0.618021, Time  0.240895
2021-09-15 03:28:53.657471 : Epoch  1, Batch    802, Loss  0.880740, Average Loss  0.883260, Time  0.264878
2021-09-15 03:28:54.221358 : Epoch  2, Batch    625, Loss  0.633457, Average Loss  0.618124, Time  0.239826
2021-09-15 03:28:55.758861 : Epoch  2, Batch    626, Loss  0.638172, Average Loss  0.618164, Time  0.240680
2021-09-15 03:28:56.682092 : Epoch  1, Batch    803, Loss  0.888105, Average Loss  0.883189, Time  0.266810
2021-09-15 03:28:57.292413 : Epoch  2, Batch    627, Loss  0.625927, Average Loss  0.618212, Time  0.240543
2021-09-15 03:28:58.038718 : CheckPoint: Validation Loss  0.00024977, Best Loss  0.00024882
2021-09-15 03:28:58.822872 : Epoch  2, Batch    628, Loss  0.621040, Average Loss  0.618261, Time  0.240773
2021-09-15 03:28:59.596290 : Epoch  3, Batch    727, Loss  0.602433, Average Loss  0.613740, Time  0.248813
2021-09-15 03:28:59.663029 : Epoch  1, Batch    804, Loss  0.881674, Average Loss  0.883106, Time  0.264988
2021-09-15 03:29:00.355823 : Epoch  2, Batch    629, Loss  0.608134, Average Loss  0.618251, Time  0.240714
2021-09-15 03:29:01.142321 : Epoch  3, Batch    728, Loss  0.614591, Average Loss  0.613673, Time  0.231227
2021-09-15 03:29:01.885919 : Epoch  2, Batch    630, Loss  0.606979, Average Loss  0.618201, Time  0.241043
2021-09-15 03:29:02.661182 : Epoch  1, Batch    805, Loss  0.871233, Average Loss  0.882942, Time  0.265179
2021-09-15 03:29:02.688041 : Epoch  3, Batch    729, Loss  0.613572, Average Loss  0.613696, Time  0.230898
2021-09-15 03:29:03.418312 : Epoch  2, Batch    631, Loss  0.612215, Average Loss  0.618144, Time  0.239751
2021-09-15 03:29:04.242084 : Epoch  3, Batch    730, Loss  0.601844, Average Loss  0.613711, Time  0.233162
2021-09-15 03:29:04.962447 : Epoch  2, Batch    632, Loss  0.630898, Average Loss  0.618188, Time  0.238524
2021-09-15 03:29:05.670566 : Epoch  1, Batch    806, Loss  0.858834, Average Loss  0.882846, Time  0.278312
2021-09-15 03:29:05.788452 : Epoch  3, Batch    731, Loss  0.616669, Average Loss  0.613694, Time  0.231855
2021-09-15 03:29:06.501390 : Epoch  2, Batch    633, Loss  0.620391, Average Loss  0.618207, Time  0.240613
2021-09-15 03:29:07.330207 : Epoch  3, Batch    732, Loss  0.610784, Average Loss  0.613675, Time  0.231297
2021-09-15 03:29:08.187842 : Epoch  2, Batch    634, Loss  0.614187, Average Loss  0.618159, Time  0.261075
2021-09-15 03:29:08.690936 : Epoch  1, Batch    807, Loss  0.863552, Average Loss  0.882614, Time  0.265267
2021-09-15 03:29:08.874113 : Epoch  3, Batch    733, Loss  0.611600, Average Loss  0.613675, Time  0.231564
2021-09-15 03:29:09.872826 : Epoch  2, Batch    635, Loss  0.624963, Average Loss  0.618163, Time  0.259273
2021-09-15 03:29:10.416100 : Epoch  3, Batch    734, Loss  0.616148, Average Loss  0.613636, Time  0.231788
2021-09-15 03:29:11.580966 : Epoch  2, Batch    636, Loss  0.615743, Average Loss  0.618097, Time  0.261421
2021-09-15 03:29:11.666674 : Epoch  1, Batch    808, Loss  0.859369, Average Loss  0.882543, Time  0.265148
2021-09-15 03:29:11.967091 : Epoch  3, Batch    735, Loss  0.616966, Average Loss  0.613687, Time  0.231670
2021-09-15 03:29:13.274921 : Epoch  2, Batch    637, Loss  0.619329, Average Loss  0.618048, Time  0.256980
2021-09-15 03:29:13.499200 : Epoch  3, Batch    736, Loss  0.610170, Average Loss  0.613611, Time  0.231585
2021-09-15 03:29:14.640696 : Epoch  1, Batch    809, Loss  0.898768, Average Loss  0.882564, Time  0.264538
2021-09-15 03:29:14.964355 : Epoch  2, Batch    638, Loss  0.621624, Average Loss  0.618068, Time  0.258780
2021-09-15 03:29:15.035083 : Epoch  3, Batch    737, Loss  0.619037, Average Loss  0.613590, Time  0.231330
2021-09-15 03:29:16.578314 : Epoch  3, Batch    738, Loss  0.607666, Average Loss  0.613563, Time  0.231074
2021-09-15 03:29:16.664393 : Epoch  2, Batch    639, Loss  0.615090, Average Loss  0.618074, Time  0.263057
2021-09-15 03:29:17.630812 : Epoch  1, Batch    810, Loss  0.862633, Average Loss  0.882430, Time  0.264694
2021-09-15 03:29:18.118103 : Epoch  3, Batch    739, Loss  0.613862, Average Loss  0.613539, Time  0.232349
2021-09-15 03:29:18.202790 : Epoch  2, Batch    640, Loss  0.617911, Average Loss  0.618086, Time  0.237748
2021-09-15 03:29:19.678983 : Epoch  3, Batch    740, Loss  0.598276, Average Loss  0.613449, Time  0.245055
2021-09-15 03:29:19.735031 : Epoch  2, Batch    641, Loss  0.614761, Average Loss  0.618127, Time  0.238352
2021-09-15 03:29:20.621762 : Epoch  1, Batch    811, Loss  0.875751, Average Loss  0.882403, Time  0.264582
2021-09-15 03:29:21.287849 : Epoch  2, Batch    642, Loss  0.636070, Average Loss  0.618207, Time  0.239524
2021-09-15 03:29:21.406754 : Epoch  3, Batch    741, Loss  0.617124, Average Loss  0.613503, Time  0.252979
2021-09-15 03:29:22.832988 : Epoch  2, Batch    643, Loss  0.614825, Average Loss  0.618163, Time  0.243035
2021-09-15 03:29:22.964468 : Epoch  3, Batch    742, Loss  0.601798, Average Loss  0.613399, Time  0.232758
2021-09-15 03:29:23.610719 : Epoch  1, Batch    812, Loss  0.879632, Average Loss  0.882379, Time  0.264737
2021-09-15 03:29:24.367765 : Epoch  2, Batch    644, Loss  0.637096, Average Loss  0.618229, Time  0.237931
2021-09-15 03:29:24.522828 : Epoch  3, Batch    743, Loss  0.610377, Average Loss  0.613378, Time  0.232564
2021-09-15 03:29:25.900271 : Epoch  2, Batch    645, Loss  0.624162, Average Loss  0.618245, Time  0.238057
2021-09-15 03:29:26.078076 : Epoch  3, Batch    744, Loss  0.608883, Average Loss  0.613357, Time  0.234085
2021-09-15 03:29:26.628154 : Epoch  1, Batch    813, Loss  0.859810, Average Loss  0.882229, Time  0.266061
2021-09-15 03:29:27.448052 : Epoch  2, Batch    646, Loss  0.611559, Average Loss  0.618194, Time  0.239712
2021-09-15 03:29:27.618608 : Epoch  3, Batch    745, Loss  0.615952, Average Loss  0.613374, Time  0.231300
2021-09-15 03:29:28.989363 : Epoch  2, Batch    647, Loss  0.618790, Average Loss  0.618196, Time  0.243976
2021-09-15 03:29:29.172400 : Epoch  3, Batch    746, Loss  0.619127, Average Loss  0.613443, Time  0.231713
2021-09-15 03:29:29.655214 : Epoch  1, Batch    814, Loss  0.888603, Average Loss  0.882258, Time  0.264796
2021-09-15 03:29:30.536818 : Epoch  2, Batch    648, Loss  0.613919, Average Loss  0.618121, Time  0.241402
2021-09-15 03:29:30.719510 : Epoch  3, Batch    747, Loss  0.612957, Average Loss  0.613465, Time  0.232450
2021-09-15 03:29:32.080972 : Epoch  2, Batch    649, Loss  0.615251, Average Loss  0.618093, Time  0.241287
2021-09-15 03:29:32.260948 : Epoch  3, Batch    748, Loss  0.606827, Average Loss  0.613452, Time  0.232009
2021-09-15 03:29:32.644989 : Epoch  1, Batch    815, Loss  0.884831, Average Loss  0.882104, Time  0.265452
2021-09-15 03:29:33.620091 : Epoch  2, Batch    650, Loss  0.624737, Average Loss  0.618083, Time  0.243080
2021-09-15 03:29:33.808266 : Epoch  3, Batch    749, Loss  0.616044, Average Loss  0.613471, Time  0.232265
2021-09-15 03:29:35.161079 : Epoch  2, Batch    651, Loss  0.621904, Average Loss  0.618127, Time  0.239667
2021-09-15 03:29:35.343769 : Epoch  3, Batch    750, Loss  0.608729, Average Loss  0.613517, Time  0.231759
2021-09-15 03:29:35.657769 : Epoch  1, Batch    816, Loss  0.877640, Average Loss  0.882026, Time  0.265715
2021-09-15 03:29:36.692356 : Epoch  2, Batch    652, Loss  0.621835, Average Loss  0.618192, Time  0.237885
2021-09-15 03:29:36.886003 : Epoch  3, Batch    751, Loss  0.598379, Average Loss  0.613439, Time  0.231118
2021-09-15 03:29:38.242930 : Epoch  2, Batch    653, Loss  0.624306, Average Loss  0.618190, Time  0.239397
2021-09-15 03:29:38.431563 : Epoch  3, Batch    752, Loss  0.620964, Average Loss  0.613481, Time  0.232442
2021-09-15 03:29:38.671329 : Epoch  1, Batch    817, Loss  0.853550, Average Loss  0.881900, Time  0.265096
2021-09-15 03:29:39.770766 : Epoch  2, Batch    654, Loss  0.613146, Average Loss  0.618175, Time  0.238806
2021-09-15 03:29:39.980828 : Epoch  3, Batch    753, Loss  0.608122, Average Loss  0.613480, Time  0.232234
2021-09-15 03:29:41.300092 : Epoch  2, Batch    655, Loss  0.630208, Average Loss  0.618205, Time  0.239136
2021-09-15 03:29:41.519332 : Epoch  3, Batch    754, Loss  0.612105, Average Loss  0.613457, Time  0.232267
2021-09-15 03:29:41.687773 : Epoch  1, Batch    818, Loss  0.884073, Average Loss  0.881853, Time  0.265441
2021-09-15 03:29:42.839971 : Epoch  2, Batch    656, Loss  0.612206, Average Loss  0.618128, Time  0.238935
2021-09-15 03:29:43.062605 : Epoch  3, Batch    755, Loss  0.607566, Average Loss  0.613465, Time  0.231638
2021-09-15 03:29:44.392463 : Epoch  2, Batch    657, Loss  0.607955, Average Loss  0.618058, Time  0.239980
2021-09-15 03:29:44.608652 : Epoch  3, Batch    756, Loss  0.608996, Average Loss  0.613419, Time  0.231622
2021-09-15 03:29:44.664208 : Epoch  1, Batch    819, Loss  0.878397, Average Loss  0.881785, Time  0.265320
2021-09-15 03:29:45.925108 : Epoch  2, Batch    658, Loss  0.604094, Average Loss  0.617964, Time  0.237465
2021-09-15 03:29:46.149888 : Epoch  3, Batch    757, Loss  0.605933, Average Loss  0.613355, Time  0.231668
2021-09-15 03:29:47.444950 : Epoch  2, Batch    659, Loss  0.616741, Average Loss  0.617950, Time  0.238176
2021-09-15 03:29:47.678911 : Epoch  1, Batch    820, Loss  0.896257, Average Loss  0.881959, Time  0.264925
2021-09-15 03:29:47.699276 : Epoch  3, Batch    758, Loss  0.615152, Average Loss  0.613350, Time  0.231907
2021-09-15 03:29:48.983813 : Epoch  2, Batch    660, Loss  0.614761, Average Loss  0.617908, Time  0.239780
2021-09-15 03:29:49.258056 : Epoch  3, Batch    759, Loss  0.604197, Average Loss  0.613363, Time  0.232073
2021-09-15 03:29:50.521432 : Epoch  2, Batch    661, Loss  0.610724, Average Loss  0.617829, Time  0.239842
2021-09-15 03:29:50.707424 : Epoch  1, Batch    821, Loss  0.893591, Average Loss  0.882033, Time  0.276349
2021-09-15 03:29:50.795746 : Epoch  3, Batch    760, Loss  0.600880, Average Loss  0.613257, Time  0.231501
2021-09-15 03:29:52.046726 : Epoch  2, Batch    662, Loss  0.609020, Average Loss  0.617832, Time  0.240172
2021-09-15 03:29:52.327607 : Epoch  3, Batch    761, Loss  0.622877, Average Loss  0.613297, Time  0.231033
2021-09-15 03:29:53.580864 : Epoch  2, Batch    663, Loss  0.613650, Average Loss  0.617848, Time  0.240665
2021-09-15 03:29:53.714512 : Epoch  1, Batch    822, Loss  0.864425, Average Loss  0.881907, Time  0.264480
2021-09-15 03:29:53.861472 : Epoch  3, Batch    762, Loss  0.609431, Average Loss  0.613286, Time  0.231692
2021-09-15 03:29:55.115791 : Epoch  2, Batch    664, Loss  0.622282, Average Loss  0.617854, Time  0.240170
2021-09-15 03:29:55.408233 : Epoch  3, Batch    763, Loss  0.609903, Average Loss  0.613327, Time  0.232573
2021-09-15 03:29:56.656419 : Epoch  2, Batch    665, Loss  0.626355, Average Loss  0.617928, Time  0.241800
2021-09-15 03:29:56.703688 : Epoch  1, Batch    823, Loss  0.869549, Average Loss  0.881869, Time  0.265910
2021-09-15 03:29:56.954349 : Epoch  3, Batch    764, Loss  0.603835, Average Loss  0.613299, Time  0.233052
2021-09-15 03:29:58.182881 : Epoch  2, Batch    666, Loss  0.620507, Average Loss  0.617894, Time  0.238286
2021-09-15 03:29:58.516824 : Epoch  3, Batch    765, Loss  0.615815, Average Loss  0.613341, Time  0.232034
2021-09-15 03:29:59.708384 : Epoch  1, Batch    824, Loss  0.899822, Average Loss  0.882037, Time  0.265503
2021-09-15 03:29:59.723169 : Epoch  2, Batch    667, Loss  0.623250, Average Loss  0.617920, Time  0.238966
2021-09-15 03:30:00.058981 : Epoch  3, Batch    766, Loss  0.610428, Average Loss  0.613330, Time  0.231467
2021-09-15 03:30:01.282390 : Epoch  2, Batch    668, Loss  0.623579, Average Loss  0.617882, Time  0.242458
2021-09-15 03:30:01.612237 : Epoch  3, Batch    767, Loss  0.608968, Average Loss  0.613329, Time  0.233299
2021-09-15 03:30:02.718340 : Epoch  1, Batch    825, Loss  0.879510, Average Loss  0.881958, Time  0.265526
2021-09-15 03:30:02.814374 : Epoch  2, Batch    669, Loss  0.628910, Average Loss  0.617962, Time  0.238985
2021-09-15 03:30:03.160380 : Epoch  3, Batch    768, Loss  0.616776, Average Loss  0.613372, Time  0.233571
2021-09-15 03:30:04.343795 : Epoch  2, Batch    670, Loss  0.617680, Average Loss  0.617943, Time  0.240875
2021-09-15 03:30:04.710945 : Epoch  3, Batch    769, Loss  0.609354, Average Loss  0.613357, Time  0.231812
2021-09-15 03:30:05.703778 : Epoch  1, Batch    826, Loss  0.887003, Average Loss  0.881940, Time  0.264750
2021-09-15 03:30:05.876854 : Epoch  2, Batch    671, Loss  0.601457, Average Loss  0.617786, Time  0.240959
2021-09-15 03:30:06.271220 : Epoch  3, Batch    770, Loss  0.610080, Average Loss  0.613321, Time  0.232408
2021-09-15 03:30:07.579834 : Epoch  2, Batch    672, Loss  0.616028, Average Loss  0.617797, Time  0.262381
2021-09-15 03:30:07.809977 : Epoch  3, Batch    771, Loss  0.612702, Average Loss  0.613288, Time  0.235742
2021-09-15 03:30:08.679220 : Epoch  1, Batch    827, Loss  0.883636, Average Loss  0.881932, Time  0.264604
2021-09-15 03:30:09.266829 : Epoch  2, Batch    673, Loss  0.623156, Average Loss  0.617810, Time  0.259515
2021-09-15 03:30:09.349248 : Epoch  3, Batch    772, Loss  0.613042, Average Loss  0.613302, Time  0.234782
2021-09-15 03:30:10.899075 : Epoch  3, Batch    773, Loss  0.614463, Average Loss  0.613266, Time  0.232108
2021-09-15 03:30:10.958037 : Epoch  2, Batch    674, Loss  0.620203, Average Loss  0.617833, Time  0.258781
2021-09-15 03:30:11.673756 : Epoch  1, Batch    828, Loss  0.889508, Average Loss  0.882026, Time  0.265261
2021-09-15 03:30:12.441054 : Epoch  3, Batch    774, Loss  0.610979, Average Loss  0.613259, Time  0.231174
2021-09-15 03:30:12.654018 : Epoch  2, Batch    675, Loss  0.621902, Average Loss  0.617880, Time  0.258382
2021-09-15 03:30:13.982155 : Epoch  3, Batch    775, Loss  0.610173, Average Loss  0.613234, Time  0.231530
2021-09-15 03:30:14.347100 : Epoch  2, Batch    676, Loss  0.617507, Average Loss  0.617885, Time  0.261083
2021-09-15 03:30:14.664403 : Epoch  1, Batch    829, Loss  0.885486, Average Loss  0.882104, Time  0.265052
2021-09-15 03:30:15.525905 : Epoch  3, Batch    776, Loss  0.613637, Average Loss  0.613283, Time  0.232145
2021-09-15 03:30:16.028899 : Epoch  2, Batch    677, Loss  0.612761, Average Loss  0.617837, Time  0.258517
2021-09-15 03:30:17.072901 : Epoch  3, Batch    777, Loss  0.607778, Average Loss  0.613216, Time  0.231048
2021-09-15 03:30:17.670998 : Epoch  1, Batch    830, Loss  0.851512, Average Loss  0.881934, Time  0.266178
2021-09-15 03:30:17.730779 : Epoch  2, Batch    678, Loss  0.610722, Average Loss  0.617755, Time  0.259803
2021-09-15 03:30:18.608258 : Epoch  3, Batch    778, Loss  0.606254, Average Loss  0.613164, Time  0.231783
2021-09-15 03:30:19.419850 : Epoch  2, Batch    679, Loss  0.613104, Average Loss  0.617741, Time  0.260180
2021-09-15 03:30:20.151932 : Epoch  3, Batch    779, Loss  0.619724, Average Loss  0.613215, Time  0.231352
2021-09-15 03:30:20.684028 : Epoch  1, Batch    831, Loss  0.878237, Average Loss  0.881878, Time  0.264839
2021-09-15 03:30:21.019420 : Epoch  2, Batch    680, Loss  0.601789, Average Loss  0.617657, Time  0.239967
2021-09-15 03:30:21.690620 : Epoch  3, Batch    780, Loss  0.613984, Average Loss  0.613245, Time  0.231579
2021-09-15 03:30:22.559382 : Epoch  2, Batch    681, Loss  0.621101, Average Loss  0.617611, Time  0.238132
2021-09-15 03:30:23.229116 : Epoch  3, Batch    781, Loss  0.604088, Average Loss  0.613208, Time  0.231353
2021-09-15 03:30:23.677180 : Epoch  1, Batch    832, Loss  0.858049, Average Loss  0.881795, Time  0.265189
2021-09-15 03:30:24.089028 : Epoch  2, Batch    682, Loss  0.612572, Average Loss  0.617585, Time  0.238806
2021-09-15 03:30:24.778600 : Epoch  3, Batch    782, Loss  0.610837, Average Loss  0.613176, Time  0.231543
2021-09-15 03:30:25.633778 : Epoch  2, Batch    683, Loss  0.625476, Average Loss  0.617634, Time  0.244060
2021-09-15 03:30:26.320968 : Epoch  3, Batch    783, Loss  0.610895, Average Loss  0.613169, Time  0.230915
2021-09-15 03:30:26.663515 : Epoch  1, Batch    833, Loss  0.871537, Average Loss  0.881691, Time  0.264662
2021-09-15 03:30:27.856974 : Epoch  3, Batch    784, Loss  0.599424, Average Loss  0.613065, Time  0.231931
2021-09-15 03:30:29.397303 : Epoch  3, Batch    785, Loss  0.622662, Average Loss  0.613131, Time  0.231123
2021-09-15 03:30:29.648011 : Epoch  1, Batch    834, Loss  0.894634, Average Loss  0.881751, Time  0.264701
2021-09-15 03:30:29.736074 : Epoch  2, Batch    684, Loss  0.602512, Average Loss  0.617592, Time  0.275792
2021-09-15 03:30:30.935146 : Epoch  3, Batch    786, Loss  0.616981, Average Loss  0.613138, Time  0.231408
2021-09-15 03:30:31.276353 : Epoch  2, Batch    685, Loss  0.616780, Average Loss  0.617606, Time  0.253048
2021-09-15 03:30:32.482232 : Epoch  3, Batch    787, Loss  0.614022, Average Loss  0.613187, Time  0.231505
2021-09-15 03:30:32.522565 : Saving Model after 3-th Epoch.
2021-09-15 03:30:32.631877 : Epoch  1, Batch    835, Loss  0.864957, Average Loss  0.881691, Time  0.265729
2021-09-15 03:30:32.795320 : Epoch  2, Batch    686, Loss  0.615387, Average Loss  0.617615, Time  0.239465
2021-09-15 03:30:33.444607 : Epoch Finished.
2021-09-15 03:30:34.350853 : Epoch  2, Batch    687, Loss  0.609256, Average Loss  0.617572, Time  0.244911
2021-09-15 03:30:35.672863 : Epoch  1, Batch    836, Loss  0.900822, Average Loss  0.881699, Time  0.272164
2021-09-15 03:30:35.790598 : Batch Shuffled
2021-09-15 03:30:35.899886 : Epoch  2, Batch    688, Loss  0.617713, Average Loss  0.617511, Time  0.239811
2021-09-15 03:30:37.366361 : Epoch  4, Batch      1, Loss  0.606740, Average Loss  0.613187, Time  0.265775
2021-09-15 03:30:37.419155 : Epoch  2, Batch    689, Loss  0.618719, Average Loss  0.617544, Time  0.238582
2021-09-15 03:30:38.696944 : Epoch  1, Batch    837, Loss  0.862642, Average Loss  0.881589, Time  0.266015
2021-09-15 03:30:38.907917 : Epoch  4, Batch      2, Loss  0.599321, Average Loss  0.613146, Time  0.234603
2021-09-15 03:30:38.944799 : Epoch  2, Batch    690, Loss  0.614107, Average Loss  0.617486, Time  0.236788
2021-09-15 03:30:40.452192 : Epoch  4, Batch      3, Loss  0.621281, Average Loss  0.613177, Time  0.238479
2021-09-15 03:30:40.484852 : Epoch  2, Batch    691, Loss  0.614759, Average Loss  0.617426, Time  0.240356
2021-09-15 03:30:41.698017 : Epoch  1, Batch    838, Loss  0.890293, Average Loss  0.881754, Time  0.264444
2021-09-15 03:30:41.995418 : Epoch  4, Batch      4, Loss  0.613455, Average Loss  0.613225, Time  0.231480
2021-09-15 03:30:42.025899 : Epoch  2, Batch    692, Loss  0.615437, Average Loss  0.617383, Time  0.241473
2021-09-15 03:30:43.538763 : Epoch  2, Batch    693, Loss  0.619286, Average Loss  0.617423, Time  0.238920
2021-09-15 03:30:43.570604 : Epoch  4, Batch      5, Loss  0.605141, Average Loss  0.613180, Time  0.234100
2021-09-15 03:30:44.689444 : Epoch  1, Batch    839, Loss  0.894776, Average Loss  0.881892, Time  0.264465
2021-09-15 03:30:45.067849 : Epoch  2, Batch    694, Loss  0.621415, Average Loss  0.617483, Time  0.241376
2021-09-15 03:30:45.111447 : Epoch  4, Batch      6, Loss  0.601371, Average Loss  0.613117, Time  0.231569
2021-09-15 03:30:46.600937 : Epoch  2, Batch    695, Loss  0.616792, Average Loss  0.617507, Time  0.241293
2021-09-15 03:30:46.651650 : Epoch  4, Batch      7, Loss  0.605082, Average Loss  0.613089, Time  0.231399
2021-09-15 03:30:47.683549 : Epoch  1, Batch    840, Loss  0.855036, Average Loss  0.881726, Time  0.265411
2021-09-15 03:30:48.139116 : Epoch  2, Batch    696, Loss  0.608726, Average Loss  0.617494, Time  0.241245
2021-09-15 03:30:48.199579 : Epoch  4, Batch      8, Loss  0.605244, Average Loss  0.613014, Time  0.231173
2021-09-15 03:30:49.655340 : Epoch  2, Batch    697, Loss  0.615719, Average Loss  0.617436, Time  0.238549
2021-09-15 03:30:49.739942 : Epoch  4, Batch      9, Loss  0.617886, Average Loss  0.613006, Time  0.231259
2021-09-15 03:30:50.678262 : Epoch  1, Batch    841, Loss  0.879513, Average Loss  0.881796, Time  0.266726
2021-09-15 03:30:51.176809 : Epoch  2, Batch    698, Loss  0.605003, Average Loss  0.617342, Time  0.240307
2021-09-15 03:30:51.284195 : Epoch  4, Batch     10, Loss  0.608296, Average Loss  0.612971, Time  0.231125
2021-09-15 03:30:52.703893 : Epoch  2, Batch    699, Loss  0.614042, Average Loss  0.617322, Time  0.239002
2021-09-15 03:30:52.807333 : Epoch  4, Batch     11, Loss  0.611046, Average Loss  0.612988, Time  0.230964
2021-09-15 03:30:53.686703 : Epoch  1, Batch    842, Loss  0.871894, Average Loss  0.881615, Time  0.264773
2021-09-15 03:30:54.227978 : Epoch  2, Batch    700, Loss  0.600881, Average Loss  0.617202, Time  0.239368
2021-09-15 03:30:54.345114 : Epoch  4, Batch     12, Loss  0.606424, Average Loss  0.612977, Time  0.231462
2021-09-15 03:30:55.779463 : Epoch  2, Batch    701, Loss  0.626399, Average Loss  0.617270, Time  0.242010
2021-09-15 03:30:55.885412 : Epoch  4, Batch     13, Loss  0.615159, Average Loss  0.613025, Time  0.231751
2021-09-15 03:30:56.666912 : Epoch  1, Batch    843, Loss  0.877869, Average Loss  0.881528, Time  0.267263
2021-09-15 03:30:57.328823 : Epoch  2, Batch    702, Loss  0.624176, Average Loss  0.617266, Time  0.238683
2021-09-15 03:30:57.418672 : Epoch  4, Batch     14, Loss  0.608361, Average Loss  0.613052, Time  0.231786
2021-09-15 03:30:58.843851 : Epoch  2, Batch    703, Loss  0.620407, Average Loss  0.617270, Time  0.238377
2021-09-15 03:30:58.953445 : Epoch  4, Batch     15, Loss  0.607186, Average Loss  0.613031, Time  0.231750
2021-09-15 03:30:59.667911 : Epoch  1, Batch    844, Loss  0.893507, Average Loss  0.881453, Time  0.265571
2021-09-15 03:31:00.385817 : Epoch  2, Batch    704, Loss  0.624397, Average Loss  0.617331, Time  0.239372
2021-09-15 03:31:00.482088 : Epoch  4, Batch     16, Loss  0.621680, Average Loss  0.613092, Time  0.231870
2021-09-15 03:31:01.914571 : Epoch  2, Batch    705, Loss  0.614597, Average Loss  0.617371, Time  0.239979
2021-09-15 03:31:02.031387 : Epoch  4, Batch     17, Loss  0.612740, Average Loss  0.613100, Time  0.231189
2021-09-15 03:31:02.652462 : Epoch  1, Batch    845, Loss  0.888798, Average Loss  0.881543, Time  0.265186
2021-09-15 03:31:03.442426 : Epoch  2, Batch    706, Loss  0.620951, Average Loss  0.617385, Time  0.237609
2021-09-15 03:31:03.571057 : Epoch  4, Batch     18, Loss  0.613777, Average Loss  0.613114, Time  0.231892
2021-09-15 03:31:04.950821 : Epoch  2, Batch    707, Loss  0.611204, Average Loss  0.617356, Time  0.238305
2021-09-15 03:31:05.108550 : Epoch  4, Batch     19, Loss  0.597262, Average Loss  0.613009, Time  0.231479
2021-09-15 03:31:05.638404 : Epoch  1, Batch    846, Loss  0.880130, Average Loss  0.881541, Time  0.265285
2021-09-15 03:31:06.487844 : Epoch  2, Batch    708, Loss  0.601368, Average Loss  0.617250, Time  0.240113
2021-09-15 03:31:06.643060 : Epoch  4, Batch     20, Loss  0.603812, Average Loss  0.612920, Time  0.231277
2021-09-15 03:31:08.007827 : Epoch  2, Batch    709, Loss  0.618776, Average Loss  0.617283, Time  0.239123
2021-09-15 03:31:08.179080 : Epoch  4, Batch     21, Loss  0.611831, Average Loss  0.612900, Time  0.231566
2021-09-15 03:31:08.671829 : Epoch  1, Batch    847, Loss  0.880951, Average Loss  0.881564, Time  0.264477
2021-09-15 03:31:09.532774 : Epoch  2, Batch    710, Loss  0.617205, Average Loss  0.617260, Time  0.238351
2021-09-15 03:31:09.710922 : Epoch  4, Batch     22, Loss  0.603287, Average Loss  0.612840, Time  0.232263
2021-09-15 03:31:11.051392 : Epoch  2, Batch    711, Loss  0.614845, Average Loss  0.617246, Time  0.241365
2021-09-15 03:31:11.243076 : Epoch  4, Batch     23, Loss  0.612641, Average Loss  0.612879, Time  0.231825
2021-09-15 03:31:11.655257 : Epoch  1, Batch    848, Loss  0.894623, Average Loss  0.881570, Time  0.264613
2021-09-15 03:31:12.589968 : Epoch  2, Batch    712, Loss  0.617573, Average Loss  0.617213, Time  0.239920
2021-09-15 03:31:12.779508 : Epoch  4, Batch     24, Loss  0.626386, Average Loss  0.613035, Time  0.230992
2021-09-15 03:31:14.129551 : Epoch  2, Batch    713, Loss  0.619892, Average Loss  0.617258, Time  0.241653
2021-09-15 03:31:14.318829 : Epoch  4, Batch     25, Loss  0.613493, Average Loss  0.613038, Time  0.231513
2021-09-15 03:31:14.669494 : Epoch  1, Batch    849, Loss  0.882903, Average Loss  0.881494, Time  0.263484
2021-09-15 03:31:15.857477 : Epoch  4, Batch     26, Loss  0.611296, Average Loss  0.613054, Time  0.231506
2021-09-15 03:31:17.387254 : Epoch  4, Batch     27, Loss  0.605817, Average Loss  0.612975, Time  0.231591
2021-09-15 03:31:17.643856 : Epoch  1, Batch    850, Loss  0.881845, Average Loss  0.881417, Time  0.264589
2021-09-15 03:31:18.929680 : Epoch  4, Batch     28, Loss  0.614896, Average Loss  0.613012, Time  0.231446
2021-09-15 03:31:20.469166 : Epoch  4, Batch     29, Loss  0.606975, Average Loss  0.612978, Time  0.231768
2021-09-15 03:31:20.674322 : Epoch  1, Batch    851, Loss  0.896005, Average Loss  0.881385, Time  0.278724
2021-09-15 03:31:22.008407 : Epoch  4, Batch     30, Loss  0.618524, Average Loss  0.612975, Time  0.231178
2021-09-15 03:31:23.544404 : Epoch  4, Batch     31, Loss  0.603893, Average Loss  0.612912, Time  0.231430
2021-09-15 03:31:23.707967 : Epoch  1, Batch    852, Loss  0.888956, Average Loss  0.881391, Time  0.265609
2021-09-15 03:31:25.093283 : Epoch  4, Batch     32, Loss  0.623088, Average Loss  0.612891, Time  0.231616
2021-09-15 03:31:26.647145 : Epoch  4, Batch     33, Loss  0.605441, Average Loss  0.612878, Time  0.231484
2021-09-15 03:31:26.694692 : Epoch  1, Batch    853, Loss  0.867208, Average Loss  0.881352, Time  0.264232
2021-09-15 03:31:28.182959 : Epoch  4, Batch     34, Loss  0.613093, Average Loss  0.612950, Time  0.232802
2021-09-15 03:31:29.684854 : Epoch  1, Batch    854, Loss  0.869653, Average Loss  0.881301, Time  0.265375
2021-09-15 03:31:29.730612 : Epoch  4, Batch     35, Loss  0.611774, Average Loss  0.612945, Time  0.231404
2021-09-15 03:31:31.273537 : Epoch  4, Batch     36, Loss  0.613729, Average Loss  0.612958, Time  0.230867
2021-09-15 03:31:32.677829 : Epoch  1, Batch    855, Loss  0.891863, Average Loss  0.881312, Time  0.264939
2021-09-15 03:31:32.819322 : Epoch  4, Batch     37, Loss  0.609291, Average Loss  0.612926, Time  0.233889
2021-09-15 03:31:34.363544 : Epoch  4, Batch     38, Loss  0.606141, Average Loss  0.612862, Time  0.231519
2021-09-15 03:31:35.661868 : Epoch  1, Batch    856, Loss  0.881757, Average Loss  0.881220, Time  0.264854
2021-09-15 03:31:35.912401 : Epoch  4, Batch     39, Loss  0.614547, Average Loss  0.612797, Time  0.232494
2021-09-15 03:31:38.674994 : Epoch  1, Batch    857, Loss  0.887975, Average Loss  0.881219, Time  0.265087
2021-09-15 03:31:41.672127 : Epoch  1, Batch    858, Loss  0.899457, Average Loss  0.881394, Time  0.264961
2021-09-15 03:31:44.676524 : Epoch  1, Batch    859, Loss  0.903683, Average Loss  0.881453, Time  0.265209
2021-09-15 03:31:47.652857 : Epoch  1, Batch    860, Loss  0.887525, Average Loss  0.881403, Time  0.264811
2021-09-15 03:31:50.656705 : Epoch  1, Batch    861, Loss  0.893112, Average Loss  0.881408, Time  0.265561
2021-09-15 03:31:53.694347 : Epoch  1, Batch    862, Loss  0.866594, Average Loss  0.881384, Time  0.266768
2021-09-15 03:31:56.723782 : Epoch  1, Batch    863, Loss  0.868240, Average Loss  0.881302, Time  0.265626
2021-09-15 03:31:59.738073 : Epoch  1, Batch    864, Loss  0.865781, Average Loss  0.881232, Time  0.265734
2021-09-15 03:32:02.718541 : Epoch  1, Batch    865, Loss  0.891108, Average Loss  0.881292, Time  0.265577
2021-09-15 03:32:05.749813 : Epoch  1, Batch    866, Loss  0.883642, Average Loss  0.881373, Time  0.272922
2021-09-15 03:32:08.759348 : Epoch  1, Batch    867, Loss  0.903271, Average Loss  0.881493, Time  0.265170
2021-09-15 03:32:10.690703 : CheckPoint: Validation Loss  0.00025989, Best Loss  0.00025447
2021-09-15 03:32:11.762269 : Epoch  1, Batch    868, Loss  0.857994, Average Loss  0.881302, Time  0.265283
2021-09-15 03:32:12.208984 : Epoch  2, Batch    714, Loss  0.611502, Average Loss  0.617251, Time  0.243269
2021-09-15 03:32:13.717834 : Epoch  2, Batch    715, Loss  0.617172, Average Loss  0.617251, Time  0.238366
2021-09-15 03:32:14.745982 : Epoch  1, Batch    869, Loss  0.868063, Average Loss  0.881260, Time  0.265536
2021-09-15 03:32:15.305138 : Epoch  2, Batch    716, Loss  0.625756, Average Loss  0.617326, Time  0.239338
2021-09-15 03:32:16.833916 : Epoch  2, Batch    717, Loss  0.620031, Average Loss  0.617350, Time  0.241179
2021-09-15 03:32:17.775392 : Epoch  1, Batch    870, Loss  0.876546, Average Loss  0.881121, Time  0.264907
2021-09-15 03:32:18.366295 : Epoch  2, Batch    718, Loss  0.615161, Average Loss  0.617346, Time  0.241394
2021-09-15 03:32:19.883352 : Epoch  2, Batch    719, Loss  0.621548, Average Loss  0.617389, Time  0.239329
2021-09-15 03:32:20.775329 : Epoch  1, Batch    871, Loss  0.882430, Average Loss  0.881208, Time  0.266127
2021-09-15 03:32:21.392367 : Epoch  2, Batch    720, Loss  0.615479, Average Loss  0.617401, Time  0.238678
2021-09-15 03:32:23.082389 : Epoch  2, Batch    721, Loss  0.609247, Average Loss  0.617359, Time  0.258882
2021-09-15 03:32:23.781442 : Epoch  1, Batch    872, Loss  0.861530, Average Loss  0.881172, Time  0.264598
2021-09-15 03:32:24.761889 : Epoch  2, Batch    722, Loss  0.623106, Average Loss  0.617455, Time  0.258756
2021-09-15 03:32:26.436041 : Epoch  2, Batch    723, Loss  0.605896, Average Loss  0.617414, Time  0.258635
2021-09-15 03:32:26.778132 : Epoch  1, Batch    873, Loss  0.889636, Average Loss  0.881083, Time  0.265370
2021-09-15 03:32:27.978122 : Epoch  2, Batch    724, Loss  0.611390, Average Loss  0.617371, Time  0.242113
2021-09-15 03:32:29.504437 : Epoch  2, Batch    725, Loss  0.615071, Average Loss  0.617358, Time  0.241064
2021-09-15 03:32:29.808972 : Epoch  1, Batch    874, Loss  0.894457, Average Loss  0.881170, Time  0.265435
2021-09-15 03:32:31.017284 : Epoch  2, Batch    726, Loss  0.611654, Average Loss  0.617341, Time  0.237675
2021-09-15 03:32:32.533752 : Epoch  2, Batch    727, Loss  0.621083, Average Loss  0.617362, Time  0.238987
2021-09-15 03:32:32.809120 : Epoch  1, Batch    875, Loss  0.878532, Average Loss  0.881126, Time  0.264128
2021-09-15 03:32:33.862730 : CheckPoint: Validation Loss  0.00024920, Best Loss  0.00024882
2021-09-15 03:32:34.060646 : Epoch  2, Batch    728, Loss  0.614657, Average Loss  0.617340, Time  0.239077
2021-09-15 03:32:35.405131 : Epoch  4, Batch     40, Loss  0.617605, Average Loss  0.612799, Time  0.231732
2021-09-15 03:32:35.577562 : Epoch  2, Batch    729, Loss  0.607639, Average Loss  0.617294, Time  0.239246
2021-09-15 03:32:35.825327 : Epoch  1, Batch    876, Loss  0.866934, Average Loss  0.880953, Time  0.265603
2021-09-15 03:32:36.952048 : Epoch  4, Batch     41, Loss  0.620050, Average Loss  0.612891, Time  0.231359
2021-09-15 03:32:37.098117 : Epoch  2, Batch    730, Loss  0.612186, Average Loss  0.617261, Time  0.238658
2021-09-15 03:32:38.504110 : Epoch  4, Batch     42, Loss  0.607601, Average Loss  0.612875, Time  0.231880
2021-09-15 03:32:38.775404 : Epoch  2, Batch    731, Loss  0.612556, Average Loss  0.617200, Time  0.261297
2021-09-15 03:32:38.814148 : Epoch  1, Batch    877, Loss  0.890723, Average Loss  0.881043, Time  0.264551
2021-09-15 03:32:40.051319 : Epoch  4, Batch     43, Loss  0.616153, Average Loss  0.612889, Time  0.231402
2021-09-15 03:32:40.470899 : Epoch  2, Batch    732, Loss  0.619037, Average Loss  0.617156, Time  0.258898
2021-09-15 03:32:41.594011 : Epoch  4, Batch     44, Loss  0.618358, Average Loss  0.612933, Time  0.231451
2021-09-15 03:32:41.822103 : Epoch  1, Batch    878, Loss  0.864563, Average Loss  0.880894, Time  0.265978
2021-09-15 03:32:42.149236 : Epoch  2, Batch    733, Loss  0.613303, Average Loss  0.617171, Time  0.258032
2021-09-15 03:32:43.132218 : Epoch  4, Batch     45, Loss  0.602755, Average Loss  0.612919, Time  0.231634
2021-09-15 03:32:43.835832 : Epoch  2, Batch    734, Loss  0.620973, Average Loss  0.617241, Time  0.258230
2021-09-15 03:32:44.675038 : Epoch  4, Batch     46, Loss  0.626380, Average Loss  0.612961, Time  0.231167
2021-09-15 03:32:44.834285 : Epoch  1, Batch    879, Loss  0.880600, Average Loss  0.880929, Time  0.264713
2021-09-15 03:32:45.518374 : Epoch  2, Batch    735, Loss  0.626689, Average Loss  0.617319, Time  0.263270
2021-09-15 03:32:46.219969 : Epoch  4, Batch     47, Loss  0.608725, Average Loss  0.612933, Time  0.231550
2021-09-15 03:32:47.205543 : Epoch  2, Batch    736, Loss  0.622937, Average Loss  0.617300, Time  0.260478
2021-09-15 03:32:47.755974 : Epoch  4, Batch     48, Loss  0.612991, Average Loss  0.612932, Time  0.231915
2021-09-15 03:32:47.813456 : Epoch  1, Batch    880, Loss  0.887143, Average Loss  0.880894, Time  0.264369
2021-09-15 03:32:48.904767 : Epoch  2, Batch    737, Loss  0.619482, Average Loss  0.617252, Time  0.260687
2021-09-15 03:32:49.303045 : Epoch  4, Batch     49, Loss  0.623986, Average Loss  0.613013, Time  0.231316
2021-09-15 03:32:50.439909 : Epoch  2, Batch    738, Loss  0.621748, Average Loss  0.617305, Time  0.241609
2021-09-15 03:32:50.833467 : Epoch  4, Batch     50, Loss  0.619269, Average Loss  0.612974, Time  0.231342
2021-09-15 03:32:50.839768 : Epoch  1, Batch    881, Loss  0.860911, Average Loss  0.880732, Time  0.275528
2021-09-15 03:32:51.976606 : Epoch  2, Batch    739, Loss  0.616231, Average Loss  0.617299, Time  0.239414
2021-09-15 03:32:52.363213 : Epoch  4, Batch     51, Loss  0.611341, Average Loss  0.612965, Time  0.231167
2021-09-15 03:32:53.653200 : Epoch  2, Batch    740, Loss  0.618428, Average Loss  0.617312, Time  0.256516
2021-09-15 03:32:53.865338 : Epoch  1, Batch    882, Loss  0.870661, Average Loss  0.880749, Time  0.267080
2021-09-15 03:32:53.906571 : Epoch  4, Batch     52, Loss  0.601973, Average Loss  0.612875, Time  0.231602
2021-09-15 03:32:55.194150 : Epoch  2, Batch    741, Loss  0.617218, Average Loss  0.617335, Time  0.240163
2021-09-15 03:32:55.446558 : Epoch  4, Batch     53, Loss  0.607459, Average Loss  0.612876, Time  0.231519
2021-09-15 03:32:56.721561 : Epoch  2, Batch    742, Loss  0.619224, Average Loss  0.617348, Time  0.238240
2021-09-15 03:32:56.878972 : Epoch  1, Batch    883, Loss  0.873849, Average Loss  0.880764, Time  0.264884
2021-09-15 03:32:56.996574 : Epoch  4, Batch     54, Loss  0.614284, Average Loss  0.612904, Time  0.231119
2021-09-15 03:32:58.241112 : Epoch  2, Batch    743, Loss  0.617135, Average Loss  0.617244, Time  0.241015
2021-09-15 03:32:58.528640 : Epoch  4, Batch     55, Loss  0.617752, Average Loss  0.612976, Time  0.231140
2021-09-15 03:32:59.775794 : Epoch  2, Batch    744, Loss  0.633886, Average Loss  0.617331, Time  0.239128
2021-09-15 03:32:59.889680 : Epoch  1, Batch    884, Loss  0.863253, Average Loss  0.880642, Time  0.266207
2021-09-15 03:33:00.071457 : Epoch  4, Batch     56, Loss  0.606037, Average Loss  0.612905, Time  0.231698
2021-09-15 03:33:01.309425 : Epoch  2, Batch    745, Loss  0.610942, Average Loss  0.617265, Time  0.238305
2021-09-15 03:33:01.600559 : Epoch  4, Batch     57, Loss  0.613563, Average Loss  0.612947, Time  0.230966
2021-09-15 03:33:02.823867 : Epoch  2, Batch    746, Loss  0.619032, Average Loss  0.617235, Time  0.237520
2021-09-15 03:33:02.901357 : Epoch  1, Batch    885, Loss  0.880753, Average Loss  0.880699, Time  0.265261
2021-09-15 03:33:03.138360 : Epoch  4, Batch     58, Loss  0.600877, Average Loss  0.612840, Time  0.231471
2021-09-15 03:33:04.344503 : Epoch  2, Batch    747, Loss  0.608019, Average Loss  0.617207, Time  0.236257
2021-09-15 03:33:04.677402 : Epoch  4, Batch     59, Loss  0.613604, Average Loss  0.612865, Time  0.231097
2021-09-15 03:33:05.905434 : Epoch  1, Batch    886, Loss  0.887001, Average Loss  0.880713, Time  0.266130
2021-09-15 03:33:06.032933 : Epoch  2, Batch    748, Loss  0.601789, Average Loss  0.617136, Time  0.258474
2021-09-15 03:33:06.231260 : Epoch  4, Batch     60, Loss  0.619812, Average Loss  0.612845, Time  0.231619
2021-09-15 03:33:07.569735 : Epoch  2, Batch    749, Loss  0.613253, Average Loss  0.617072, Time  0.240479
2021-09-15 03:33:07.777385 : Epoch  4, Batch     61, Loss  0.594868, Average Loss  0.612680, Time  0.232059
2021-09-15 03:33:08.889197 : Epoch  1, Batch    887, Loss  0.858638, Average Loss  0.880544, Time  0.264468
2021-09-15 03:33:09.124471 : Epoch  2, Batch    750, Loss  0.609400, Average Loss  0.617061, Time  0.242027
2021-09-15 03:33:09.319134 : Epoch  4, Batch     62, Loss  0.627458, Average Loss  0.612705, Time  0.232566
2021-09-15 03:33:10.817115 : Epoch  2, Batch    751, Loss  0.625373, Average Loss  0.617108, Time  0.259209
2021-09-15 03:33:10.863356 : Epoch  4, Batch     63, Loss  0.608955, Average Loss  0.612608, Time  0.234552
2021-09-15 03:33:11.904406 : Epoch  1, Batch    888, Loss  0.872177, Average Loss  0.880508, Time  0.265454
2021-09-15 03:33:12.362310 : Epoch  2, Batch    752, Loss  0.626258, Average Loss  0.617116, Time  0.239334
2021-09-15 03:33:12.413603 : Epoch  4, Batch     64, Loss  0.609033, Average Loss  0.612565, Time  0.232378
2021-09-15 03:33:13.894880 : Epoch  2, Batch    753, Loss  0.625023, Average Loss  0.617150, Time  0.240091
2021-09-15 03:33:13.965011 : Epoch  4, Batch     65, Loss  0.606564, Average Loss  0.612501, Time  0.233027
2021-09-15 03:33:14.916532 : Epoch  1, Batch    889, Loss  0.868585, Average Loss  0.880480, Time  0.264861
2021-09-15 03:33:15.432142 : Epoch  2, Batch    754, Loss  0.612239, Average Loss  0.617165, Time  0.240888
2021-09-15 03:33:15.514350 : Epoch  4, Batch     66, Loss  0.611880, Average Loss  0.612413, Time  0.232609
2021-09-15 03:33:16.961371 : Epoch  2, Batch    755, Loss  0.614194, Average Loss  0.617131, Time  0.238997
2021-09-15 03:33:17.062118 : Epoch  4, Batch     67, Loss  0.614001, Average Loss  0.612365, Time  0.231350
2021-09-15 03:33:17.903546 : Epoch  1, Batch    890, Loss  0.880234, Average Loss  0.880512, Time  0.264456
2021-09-15 03:33:18.600325 : Epoch  4, Batch     68, Loss  0.598400, Average Loss  0.612229, Time  0.231644
2021-09-15 03:33:18.654982 : Epoch  2, Batch    756, Loss  0.610699, Average Loss  0.617048, Time  0.258432
2021-09-15 03:33:20.144822 : Epoch  4, Batch     69, Loss  0.612362, Average Loss  0.612146, Time  0.231357
2021-09-15 03:33:20.185431 : Epoch  2, Batch    757, Loss  0.620928, Average Loss  0.617066, Time  0.237578
2021-09-15 03:33:20.888246 : Epoch  1, Batch    891, Loss  0.870076, Average Loss  0.880543, Time  0.264255
2021-09-15 03:33:21.694479 : Epoch  4, Batch     70, Loss  0.618592, Average Loss  0.612140, Time  0.231586
2021-09-15 03:33:21.730462 : Epoch  2, Batch    758, Loss  0.620344, Average Loss  0.617053, Time  0.239533
2021-09-15 03:33:23.241968 : Epoch  4, Batch     71, Loss  0.608270, Average Loss  0.612023, Time  0.231676
2021-09-15 03:33:23.282464 : Epoch  2, Batch    759, Loss  0.616416, Average Loss  0.617006, Time  0.240056
2021-09-15 03:33:23.891228 : Epoch  1, Batch    892, Loss  0.876388, Average Loss  0.880455, Time  0.266403
2021-09-15 03:33:24.788590 : Epoch  4, Batch     72, Loss  0.608610, Average Loss  0.611943, Time  0.231202
2021-09-15 03:33:24.820924 : Epoch  2, Batch    760, Loss  0.610356, Average Loss  0.616960, Time  0.237754
2021-09-15 03:33:26.328354 : Epoch  4, Batch     73, Loss  0.605346, Average Loss  0.611888, Time  0.231480
2021-09-15 03:33:26.504786 : Epoch  2, Batch    761, Loss  0.628151, Average Loss  0.617037, Time  0.260026
2021-09-15 03:33:26.898980 : Epoch  1, Batch    893, Loss  0.868191, Average Loss  0.880407, Time  0.264591
2021-09-15 03:33:27.866363 : Epoch  4, Batch     74, Loss  0.621884, Average Loss  0.611876, Time  0.231327
2021-09-15 03:33:28.193510 : Epoch  2, Batch    762, Loss  0.611684, Average Loss  0.617027, Time  0.260263
2021-09-15 03:33:29.409670 : Epoch  4, Batch     75, Loss  0.615372, Average Loss  0.611834, Time  0.231328
2021-09-15 03:33:29.737505 : Epoch  2, Batch    763, Loss  0.610544, Average Loss  0.617000, Time  0.240028
2021-09-15 03:33:29.901093 : Epoch  1, Batch    894, Loss  0.877614, Average Loss  0.880401, Time  0.264722
2021-09-15 03:33:31.019544 : Epoch  4, Batch     76, Loss  0.603979, Average Loss  0.611785, Time  0.231298
2021-09-15 03:33:31.255929 : Epoch  2, Batch    764, Loss  0.611734, Average Loss  0.616999, Time  0.238141
2021-09-15 03:33:32.578992 : Epoch  4, Batch     77, Loss  0.609476, Average Loss  0.611769, Time  0.232605
2021-09-15 03:33:32.776919 : Epoch  2, Batch    765, Loss  0.616432, Average Loss  0.616990, Time  0.238339
2021-09-15 03:33:32.892944 : Epoch  1, Batch    895, Loss  0.879100, Average Loss  0.880264, Time  0.264289
2021-09-15 03:33:34.122352 : Epoch  4, Batch     78, Loss  0.611687, Average Loss  0.611696, Time  0.231905
2021-09-15 03:33:34.294945 : Epoch  2, Batch    766, Loss  0.623257, Average Loss  0.616974, Time  0.239117
2021-09-15 03:33:35.658410 : Epoch  4, Batch     79, Loss  0.604455, Average Loss  0.611645, Time  0.231241
2021-09-15 03:33:35.840483 : Epoch  2, Batch    767, Loss  0.619496, Average Loss  0.616947, Time  0.258739
2021-09-15 03:33:35.893993 : Epoch  1, Batch    896, Loss  0.873046, Average Loss  0.880211, Time  0.276916
2021-09-15 03:33:37.212107 : Epoch  4, Batch     80, Loss  0.620059, Average Loss  0.611684, Time  0.231598
2021-09-15 03:33:37.522322 : Epoch  2, Batch    768, Loss  0.614570, Average Loss  0.616962, Time  0.258603
2021-09-15 03:33:38.751155 : Epoch  4, Batch     81, Loss  0.622480, Average Loss  0.611722, Time  0.231419
2021-09-15 03:33:38.904599 : Epoch  1, Batch    897, Loss  0.874351, Average Loss  0.880215, Time  0.266719
2021-09-15 03:33:39.211336 : Epoch  2, Batch    769, Loss  0.616852, Average Loss  0.617040, Time  0.259048
2021-09-15 03:33:40.290682 : Epoch  4, Batch     82, Loss  0.621570, Average Loss  0.611729, Time  0.231440
2021-09-15 03:33:40.905035 : Epoch  2, Batch    770, Loss  0.606198, Average Loss  0.616949, Time  0.260331
2021-09-15 03:33:41.830340 : Epoch  4, Batch     83, Loss  0.608173, Average Loss  0.611668, Time  0.231157
2021-09-15 03:33:41.912397 : Epoch  1, Batch    898, Loss  0.874490, Average Loss  0.880264, Time  0.265467
2021-09-15 03:33:42.442385 : Epoch  2, Batch    771, Loss  0.613325, Average Loss  0.616938, Time  0.241359
2021-09-15 03:33:43.370345 : Epoch  4, Batch     84, Loss  0.604244, Average Loss  0.611549, Time  0.231278
2021-09-15 03:33:43.963044 : Epoch  2, Batch    772, Loss  0.615738, Average Loss  0.616926, Time  0.238708
2021-09-15 03:33:44.908014 : Epoch  4, Batch     85, Loss  0.617799, Average Loss  0.611573, Time  0.231538
2021-09-15 03:33:44.943700 : Epoch  1, Batch    899, Loss  0.887340, Average Loss  0.880290, Time  0.265533
2021-09-15 03:33:45.663464 : Epoch  2, Batch    773, Loss  0.610776, Average Loss  0.616928, Time  0.263964
2021-09-15 03:33:46.455406 : Epoch  4, Batch     86, Loss  0.607544, Average Loss  0.611557, Time  0.231163
2021-09-15 03:33:47.337878 : Epoch  2, Batch    774, Loss  0.617718, Average Loss  0.616925, Time  0.257285
2021-09-15 03:33:47.952388 : Epoch  1, Batch    900, Loss  0.878825, Average Loss  0.880299, Time  0.264526
2021-09-15 03:33:47.997077 : Epoch  4, Batch     87, Loss  0.623466, Average Loss  0.611590, Time  0.231014
2021-09-15 03:33:49.009817 : Epoch  2, Batch    775, Loss  0.622649, Average Loss  0.616868, Time  0.257839
2021-09-15 03:33:49.552354 : Epoch  4, Batch     88, Loss  0.614727, Average Loss  0.611552, Time  0.232826
2021-09-15 03:33:50.573190 : Epoch  2, Batch    776, Loss  0.617967, Average Loss  0.616867, Time  0.240238
2021-09-15 03:33:51.101093 : Epoch  4, Batch     89, Loss  0.609810, Average Loss  0.611518, Time  0.231703
2021-09-15 03:33:52.209354 : Epoch  2, Batch    777, Loss  0.623622, Average Loss  0.616899, Time  0.238125
2021-09-15 03:33:52.660165 : Epoch  4, Batch     90, Loss  0.622792, Average Loss  0.611641, Time  0.231510
2021-09-15 03:33:53.748428 : Epoch  2, Batch    778, Loss  0.606788, Average Loss  0.616872, Time  0.238279
2021-09-15 03:33:54.184174 : Epoch  4, Batch     91, Loss  0.619836, Average Loss  0.611601, Time  0.231745
2021-09-15 03:33:55.290123 : Epoch  2, Batch    779, Loss  0.620286, Average Loss  0.616964, Time  0.240557
2021-09-15 03:33:55.709398 : Epoch  4, Batch     92, Loss  0.600316, Average Loss  0.611515, Time  0.231339
2021-09-15 03:33:56.978899 : Epoch  2, Batch    780, Loss  0.622139, Average Loss  0.616975, Time  0.259381
2021-09-15 03:33:57.227540 : Epoch  4, Batch     93, Loss  0.631317, Average Loss  0.611554, Time  0.232083
2021-09-15 03:33:58.650131 : Epoch  2, Batch    781, Loss  0.612965, Average Loss  0.616942, Time  0.257005
2021-09-15 03:33:58.755755 : Epoch  4, Batch     94, Loss  0.607611, Average Loss  0.611579, Time  0.231468
2021-09-15 03:34:00.218049 : Epoch  2, Batch    782, Loss  0.612920, Average Loss  0.616930, Time  0.240651
2021-09-15 03:34:00.286786 : Epoch  4, Batch     95, Loss  0.618720, Average Loss  0.611616, Time  0.232068
2021-09-15 03:34:01.786540 : Epoch  2, Batch    783, Loss  0.613287, Average Loss  0.616954, Time  0.239568
2021-09-15 03:34:01.820843 : Epoch  4, Batch     96, Loss  0.618267, Average Loss  0.611604, Time  0.231225
2021-09-15 03:34:03.350573 : Epoch  4, Batch     97, Loss  0.612961, Average Loss  0.611632, Time  0.231144
2021-09-15 03:34:04.899626 : Epoch  4, Batch     98, Loss  0.600834, Average Loss  0.611564, Time  0.231433
2021-09-15 03:34:05.808448 : Epoch  2, Batch    784, Loss  0.632354, Average Loss  0.616983, Time  0.274264
2021-09-15 03:34:06.462455 : Epoch  4, Batch     99, Loss  0.598920, Average Loss  0.611486, Time  0.233360
2021-09-15 03:34:07.513469 : Epoch  2, Batch    785, Loss  0.614184, Average Loss  0.616946, Time  0.262668
2021-09-15 03:34:07.995724 : Epoch  4, Batch    100, Loss  0.606387, Average Loss  0.611478, Time  0.231140
2021-09-15 03:34:09.202504 : Epoch  2, Batch    786, Loss  0.620788, Average Loss  0.616925, Time  0.260663
2021-09-15 03:34:09.536096 : Epoch  4, Batch    101, Loss  0.599533, Average Loss  0.611427, Time  0.231595
2021-09-15 03:34:10.770216 : Epoch  2, Batch    787, Loss  0.613125, Average Loss  0.616924, Time  0.237600
2021-09-15 03:34:10.806607 : Saving Model after 2-th Epoch.
2021-09-15 03:34:11.072005 : Epoch  4, Batch    102, Loss  0.611086, Average Loss  0.611484, Time  0.231749
2021-09-15 03:34:11.764643 : Epoch Finished.
2021-09-15 03:34:12.645627 : Epoch  4, Batch    103, Loss  0.614231, Average Loss  0.611482, Time  0.231308
2021-09-15 03:34:14.198903 : Epoch  4, Batch    104, Loss  0.613361, Average Loss  0.611494, Time  0.231073
2021-09-15 03:34:14.367650 : Batch Shuffled
2021-09-15 03:34:15.748140 : Epoch  4, Batch    105, Loss  0.619992, Average Loss  0.611503, Time  0.230987
2021-09-15 03:34:15.894412 : Epoch  3, Batch      1, Loss  0.625743, Average Loss  0.617000, Time  0.240087
2021-09-15 03:34:17.287507 : Epoch  4, Batch    106, Loss  0.616565, Average Loss  0.611555, Time  0.231799
2021-09-15 03:34:17.408818 : Epoch  3, Batch      2, Loss  0.611274, Average Loss  0.616990, Time  0.240564
2021-09-15 03:34:18.823902 : Epoch  4, Batch    107, Loss  0.611623, Average Loss  0.611530, Time  0.232685
2021-09-15 03:34:18.920214 : Epoch  3, Batch      3, Loss  0.605134, Average Loss  0.616973, Time  0.240414
2021-09-15 03:34:20.366332 : Epoch  4, Batch    108, Loss  0.616206, Average Loss  0.611599, Time  0.231598
2021-09-15 03:34:20.442338 : Epoch  3, Batch      4, Loss  0.618382, Average Loss  0.616979, Time  0.240448
2021-09-15 03:34:21.900882 : Epoch  4, Batch    109, Loss  0.608153, Average Loss  0.611539, Time  0.231747
2021-09-15 03:34:21.980361 : Epoch  3, Batch      5, Loss  0.623965, Average Loss  0.616976, Time  0.239744
2021-09-15 03:34:23.501396 : Epoch  3, Batch      6, Loss  0.609953, Average Loss  0.616906, Time  0.238884
2021-09-15 03:34:25.032560 : Epoch  3, Batch      7, Loss  0.624187, Average Loss  0.616979, Time  0.240014
2021-09-15 03:34:25.877886 : Epoch  4, Batch    110, Loss  0.599272, Average Loss  0.611493, Time  0.262789
2021-09-15 03:34:26.565165 : Epoch  3, Batch      8, Loss  0.613201, Average Loss  0.616950, Time  0.240207
2021-09-15 03:34:27.422260 : Epoch  4, Batch    111, Loss  0.608695, Average Loss  0.611447, Time  0.239194
2021-09-15 03:34:28.111947 : Epoch  3, Batch      9, Loss  0.616464, Average Loss  0.616990, Time  0.242398
2021-09-15 03:34:28.953120 : Epoch  4, Batch    112, Loss  0.616949, Average Loss  0.611469, Time  0.231274
2021-09-15 03:34:29.645358 : Epoch  3, Batch     10, Loss  0.611384, Average Loss  0.616959, Time  0.239641
2021-09-15 03:34:30.478441 : Epoch  4, Batch    113, Loss  0.614164, Average Loss  0.611520, Time  0.231222
2021-09-15 03:34:31.170002 : Epoch  3, Batch     11, Loss  0.609938, Average Loss  0.616899, Time  0.236124
2021-09-15 03:34:32.020085 : Epoch  4, Batch    114, Loss  0.613836, Average Loss  0.611500, Time  0.233441
2021-09-15 03:34:32.708461 : Epoch  3, Batch     12, Loss  0.610536, Average Loss  0.616818, Time  0.239460
2021-09-15 03:34:33.552366 : Epoch  4, Batch    115, Loss  0.619368, Average Loss  0.611517, Time  0.230884
2021-09-15 03:34:34.240021 : Epoch  3, Batch     13, Loss  0.614876, Average Loss  0.616820, Time  0.240488
2021-09-15 03:34:35.084921 : Epoch  4, Batch    116, Loss  0.620744, Average Loss  0.611534, Time  0.231030
2021-09-15 03:34:35.786875 : Epoch  3, Batch     14, Loss  0.611989, Average Loss  0.616796, Time  0.239563
2021-09-15 03:34:36.616308 : Epoch  4, Batch    117, Loss  0.617149, Average Loss  0.611580, Time  0.230825
2021-09-15 03:34:37.309719 : Epoch  3, Batch     15, Loss  0.609647, Average Loss  0.616742, Time  0.238889
2021-09-15 03:34:38.149956 : Epoch  4, Batch    118, Loss  0.604432, Average Loss  0.611530, Time  0.231848
2021-09-15 03:34:39.008491 : Epoch  3, Batch     16, Loss  0.608275, Average Loss  0.616673, Time  0.261890
2021-09-15 03:34:39.680045 : Epoch  4, Batch    119, Loss  0.612245, Average Loss  0.611521, Time  0.231297
2021-09-15 03:34:40.693016 : Epoch  3, Batch     17, Loss  0.620754, Average Loss  0.616725, Time  0.260761
2021-09-15 03:34:41.214339 : Epoch  4, Batch    120, Loss  0.612169, Average Loss  0.611608, Time  0.231253
2021-09-15 03:34:42.395892 : Epoch  3, Batch     18, Loss  0.614506, Average Loss  0.616731, Time  0.261387
2021-09-15 03:34:42.745697 : Epoch  4, Batch    121, Loss  0.615339, Average Loss  0.611684, Time  0.231285
2021-09-15 03:34:44.084860 : Epoch  3, Batch     19, Loss  0.629994, Average Loss  0.616710, Time  0.259130
2021-09-15 03:34:44.291610 : Epoch  4, Batch    122, Loss  0.624285, Average Loss  0.611726, Time  0.231255
2021-09-15 03:34:45.625892 : Epoch  3, Batch     20, Loss  0.614881, Average Loss  0.616690, Time  0.242888
2021-09-15 03:34:45.813269 : Epoch  4, Batch    123, Loss  0.614869, Average Loss  0.611702, Time  0.231011
2021-09-15 03:34:47.154866 : Epoch  3, Batch     21, Loss  0.614856, Average Loss  0.616711, Time  0.237861
2021-09-15 03:34:47.338806 : Epoch  4, Batch    124, Loss  0.601846, Average Loss  0.611640, Time  0.231172
2021-09-15 03:34:48.689906 : Epoch  3, Batch     22, Loss  0.615072, Average Loss  0.616694, Time  0.241316
2021-09-15 03:34:48.865114 : Epoch  4, Batch    125, Loss  0.601567, Average Loss  0.611572, Time  0.231325
2021-09-15 03:34:50.226793 : Epoch  3, Batch     23, Loss  0.618849, Average Loss  0.616701, Time  0.242243
2021-09-15 03:34:50.388050 : Epoch  4, Batch    126, Loss  0.617661, Average Loss  0.611550, Time  0.231925
2021-09-15 03:34:51.768131 : Epoch  3, Batch     24, Loss  0.629661, Average Loss  0.616760, Time  0.238877
2021-09-15 03:34:51.913129 : Epoch  4, Batch    127, Loss  0.611360, Average Loss  0.611541, Time  0.232366
2021-09-15 03:34:53.293991 : Epoch  3, Batch     25, Loss  0.634775, Average Loss  0.616850, Time  0.238583
2021-09-15 03:34:53.443057 : Epoch  4, Batch    128, Loss  0.591806, Average Loss  0.611432, Time  0.231803
2021-09-15 03:34:54.822078 : Epoch  3, Batch     26, Loss  0.610520, Average Loss  0.616794, Time  0.238708
2021-09-15 03:34:54.976568 : Epoch  4, Batch    129, Loss  0.617661, Average Loss  0.611521, Time  0.231171
2021-09-15 03:34:56.509096 : Epoch  4, Batch    130, Loss  0.614236, Average Loss  0.611530, Time  0.232629
2021-09-15 03:34:58.051851 : Epoch  4, Batch    131, Loss  0.603972, Average Loss  0.611507, Time  0.231909
2021-09-15 03:34:59.614867 : Epoch  4, Batch    132, Loss  0.608445, Average Loss  0.611488, Time  0.233242
2021-09-15 03:35:01.179170 : Epoch  4, Batch    133, Loss  0.614484, Average Loss  0.611538, Time  0.234125
2021-09-15 03:35:02.732965 : Epoch  4, Batch    134, Loss  0.609232, Average Loss  0.611470, Time  0.247679
2021-09-15 03:35:04.296419 : Epoch  4, Batch    135, Loss  0.601658, Average Loss  0.611454, Time  0.232597
2021-09-15 03:35:05.829062 : Epoch  4, Batch    136, Loss  0.604941, Average Loss  0.611431, Time  0.231070
2021-09-15 03:35:07.373261 : Epoch  4, Batch    137, Loss  0.612459, Average Loss  0.611376, Time  0.231746
2021-09-15 03:35:08.915983 : Epoch  4, Batch    138, Loss  0.617253, Average Loss  0.611404, Time  0.231321
2021-09-15 03:35:10.458004 : Epoch  4, Batch    139, Loss  0.612277, Average Loss  0.611425, Time  0.231741
2021-09-15 03:35:52.093971 : CheckPoint: Validation Loss  0.00026004, Best Loss  0.00025447
2021-09-15 03:35:53.625781 : Epoch  3, Batch     27, Loss  0.627096, Average Loss  0.616881, Time  0.239241
2021-09-15 03:35:55.146862 : Epoch  3, Batch     28, Loss  0.618806, Average Loss  0.616942, Time  0.239818
2021-09-15 03:35:56.680833 : Epoch  3, Batch     29, Loss  0.613973, Average Loss  0.616924, Time  0.239121
2021-09-15 03:35:58.374019 : Epoch  3, Batch     30, Loss  0.615249, Average Loss  0.616923, Time  0.259987
2021-09-15 03:36:00.062931 : Epoch  3, Batch     31, Loss  0.618113, Average Loss  0.616951, Time  0.264085
2021-09-15 03:36:01.589654 : Epoch  3, Batch     32, Loss  0.613360, Average Loss  0.616899, Time  0.239054
2021-09-15 03:36:03.119070 : Epoch  3, Batch     33, Loss  0.613431, Average Loss  0.616929, Time  0.238830
2021-09-15 03:36:04.657170 : Epoch  3, Batch     34, Loss  0.599156, Average Loss  0.616879, Time  0.240019
2021-09-15 03:36:06.328709 : Epoch  3, Batch     35, Loss  0.610533, Average Loss  0.616870, Time  0.257382
2021-09-15 03:36:07.853264 : Epoch  3, Batch     36, Loss  0.625171, Average Loss  0.616920, Time  0.238050
2021-09-15 03:36:08.055732 : CheckPoint: Validation Loss  0.00025742, Best Loss  0.00024882
2021-09-15 03:36:09.385260 : Epoch  3, Batch     37, Loss  0.620568, Average Loss  0.616960, Time  0.238566
2021-09-15 03:36:09.603302 : Epoch  4, Batch    140, Loss  0.614007, Average Loss  0.611483, Time  0.231965
2021-09-15 03:36:10.918943 : Epoch  3, Batch     38, Loss  0.619655, Average Loss  0.616891, Time  0.241549
2021-09-15 03:36:11.155165 : Epoch  4, Batch    141, Loss  0.621322, Average Loss  0.611516, Time  0.232071
2021-09-15 03:36:12.449895 : Epoch  3, Batch     39, Loss  0.614889, Average Loss  0.616774, Time  0.238257
2021-09-15 03:36:12.695631 : Epoch  4, Batch    142, Loss  0.614596, Average Loss  0.611522, Time  0.231442
2021-09-15 03:36:13.978138 : Epoch  3, Batch     40, Loss  0.617619, Average Loss  0.616733, Time  0.240078
2021-09-15 03:36:14.243755 : Epoch  4, Batch    143, Loss  0.615370, Average Loss  0.611589, Time  0.231491
2021-09-15 03:36:15.515152 : Epoch  3, Batch     41, Loss  0.613579, Average Loss  0.616695, Time  0.239389
2021-09-15 03:36:15.791983 : Epoch  4, Batch    144, Loss  0.596582, Average Loss  0.611489, Time  0.231991
2021-09-15 03:36:17.046842 : Epoch  3, Batch     42, Loss  0.607987, Average Loss  0.616695, Time  0.240976
2021-09-15 03:36:17.333403 : Epoch  4, Batch    145, Loss  0.615238, Average Loss  0.611511, Time  0.231354
2021-09-15 03:36:18.595779 : Epoch  3, Batch     43, Loss  0.619953, Average Loss  0.616760, Time  0.240390
2021-09-15 03:36:18.877844 : Epoch  4, Batch    146, Loss  0.607320, Average Loss  0.611490, Time  0.231424
2021-09-15 03:36:20.124421 : Epoch  3, Batch     44, Loss  0.615341, Average Loss  0.616775, Time  0.239251
2021-09-15 03:36:20.416372 : Epoch  4, Batch    147, Loss  0.620289, Average Loss  0.611510, Time  0.231416
2021-09-15 03:36:21.655296 : Epoch  3, Batch     45, Loss  0.607557, Average Loss  0.616659, Time  0.240685
2021-09-15 03:36:21.952065 : Epoch  4, Batch    148, Loss  0.624923, Average Loss  0.611550, Time  0.232006
2021-09-15 03:36:23.199456 : Epoch  3, Batch     46, Loss  0.606711, Average Loss  0.616590, Time  0.241438
2021-09-15 03:36:23.486280 : Epoch  4, Batch    149, Loss  0.597851, Average Loss  0.611488, Time  0.231635
2021-09-15 03:36:24.726761 : Epoch  3, Batch     47, Loss  0.619965, Average Loss  0.616619, Time  0.240572
2021-09-15 03:36:25.026091 : Epoch  4, Batch    150, Loss  0.604711, Average Loss  0.611417, Time  0.231221
2021-09-15 03:36:26.248360 : Epoch  3, Batch     48, Loss  0.605265, Average Loss  0.616521, Time  0.238654
2021-09-15 03:36:26.568013 : Epoch  4, Batch    151, Loss  0.611987, Average Loss  0.611438, Time  0.233224
2021-09-15 03:36:27.782807 : Epoch  3, Batch     49, Loss  0.611094, Average Loss  0.616497, Time  0.243041
2021-09-15 03:36:28.109994 : Epoch  4, Batch    152, Loss  0.602187, Average Loss  0.611380, Time  0.231309
2021-09-15 03:36:29.319388 : Epoch  3, Batch     50, Loss  0.612433, Average Loss  0.616463, Time  0.239924
2021-09-15 03:36:29.645737 : Epoch  4, Batch    153, Loss  0.609739, Average Loss  0.611437, Time  0.231371
2021-09-15 03:36:30.846768 : Epoch  3, Batch     51, Loss  0.611145, Average Loss  0.616410, Time  0.239225
2021-09-15 03:36:31.185050 : Epoch  4, Batch    154, Loss  0.607851, Average Loss  0.611391, Time  0.233019
2021-09-15 03:36:32.374370 : Epoch  3, Batch     52, Loss  0.624148, Average Loss  0.616456, Time  0.241653
2021-09-15 03:36:32.720395 : Epoch  4, Batch    155, Loss  0.614955, Average Loss  0.611457, Time  0.232926
2021-09-15 03:36:33.918770 : Epoch  3, Batch     53, Loss  0.608547, Average Loss  0.616409, Time  0.241168
2021-09-15 03:36:34.265150 : Epoch  4, Batch    156, Loss  0.623342, Average Loss  0.611522, Time  0.231314
2021-09-15 03:36:35.458143 : Epoch  3, Batch     54, Loss  0.620717, Average Loss  0.616439, Time  0.242789
2021-09-15 03:36:35.796956 : Epoch  4, Batch    157, Loss  0.617810, Average Loss  0.611566, Time  0.230983
2021-09-15 03:36:36.986031 : Epoch  3, Batch     55, Loss  0.616652, Average Loss  0.616342, Time  0.238318
2021-09-15 03:36:37.327981 : Epoch  4, Batch    158, Loss  0.599226, Average Loss  0.611483, Time  0.231600
2021-09-15 03:36:38.511128 : Epoch  3, Batch     56, Loss  0.622423, Average Loss  0.616380, Time  0.238543
2021-09-15 03:36:38.869526 : Epoch  4, Batch    159, Loss  0.607898, Average Loss  0.611427, Time  0.233199
2021-09-15 03:36:40.051878 : Epoch  3, Batch     57, Loss  0.614315, Average Loss  0.616266, Time  0.241067
2021-09-15 03:36:40.406898 : Epoch  4, Batch    160, Loss  0.619265, Average Loss  0.611458, Time  0.231167
2021-09-15 03:36:41.595470 : Epoch  3, Batch     58, Loss  0.611039, Average Loss  0.616200, Time  0.241187
2021-09-15 03:36:41.939565 : Epoch  4, Batch    161, Loss  0.617707, Average Loss  0.611512, Time  0.230750
2021-09-15 03:36:43.124790 : Epoch  3, Batch     59, Loss  0.604571, Average Loss  0.616165, Time  0.238860
2021-09-15 03:36:43.471890 : Epoch  4, Batch    162, Loss  0.609772, Average Loss  0.611481, Time  0.231278
2021-09-15 03:36:44.651365 : Epoch  3, Batch     60, Loss  0.620605, Average Loss  0.616174, Time  0.239939
2021-09-15 03:36:45.013192 : Epoch  4, Batch    163, Loss  0.594008, Average Loss  0.611407, Time  0.232093
2021-09-15 03:36:46.174910 : Epoch  3, Batch     61, Loss  0.619026, Average Loss  0.616200, Time  0.241040
2021-09-15 03:36:46.539116 : Epoch  4, Batch    164, Loss  0.607523, Average Loss  0.611453, Time  0.231031
2021-09-15 03:36:47.705365 : Epoch  3, Batch     62, Loss  0.617264, Average Loss  0.616210, Time  0.242437
2021-09-15 03:36:48.072418 : Epoch  4, Batch    165, Loss  0.609488, Average Loss  0.611396, Time  0.232018
2021-09-15 03:36:49.244800 : Epoch  3, Batch     63, Loss  0.631994, Average Loss  0.616246, Time  0.240848
2021-09-15 03:36:49.607059 : Epoch  4, Batch    166, Loss  0.613200, Average Loss  0.611421, Time  0.231531
2021-09-15 03:36:50.780402 : Epoch  3, Batch     64, Loss  0.616539, Average Loss  0.616219, Time  0.241699
2021-09-15 03:36:51.159579 : Epoch  4, Batch    167, Loss  0.609958, Average Loss  0.611410, Time  0.231151
2021-09-15 03:36:52.305942 : Epoch  3, Batch     65, Loss  0.609305, Average Loss  0.616157, Time  0.240372
2021-09-15 03:36:52.702017 : Epoch  4, Batch    168, Loss  0.611224, Average Loss  0.611429, Time  0.231833
2021-09-15 03:36:53.844376 : Epoch  3, Batch     66, Loss  0.607030, Average Loss  0.616070, Time  0.238255
2021-09-15 03:36:54.238421 : Epoch  4, Batch    169, Loss  0.615773, Average Loss  0.611463, Time  0.231679
2021-09-15 03:36:55.383033 : Epoch  3, Batch     67, Loss  0.611065, Average Loss  0.616060, Time  0.241745
2021-09-15 03:36:55.776728 : Epoch  4, Batch    170, Loss  0.606882, Average Loss  0.611467, Time  0.231688
2021-09-15 03:36:56.910859 : Epoch  3, Batch     68, Loss  0.615914, Average Loss  0.615988, Time  0.239966
2021-09-15 03:36:57.314219 : Epoch  4, Batch    171, Loss  0.617394, Average Loss  0.611479, Time  0.231555
2021-09-15 03:36:58.436022 : Epoch  3, Batch     69, Loss  0.624365, Average Loss  0.616049, Time  0.239091
2021-09-15 03:36:58.845011 : Epoch  4, Batch    172, Loss  0.605283, Average Loss  0.611484, Time  0.231411
2021-09-15 03:36:59.958939 : Epoch  3, Batch     70, Loss  0.619270, Average Loss  0.616106, Time  0.237797
2021-09-15 03:37:00.377831 : Epoch  4, Batch    173, Loss  0.608318, Average Loss  0.611521, Time  0.231337
2021-09-15 03:37:01.507955 : Epoch  3, Batch     71, Loss  0.609991, Average Loss  0.616135, Time  0.240614
2021-09-15 03:37:01.917386 : Epoch  4, Batch    174, Loss  0.606072, Average Loss  0.611437, Time  0.231219
2021-09-15 03:37:03.038840 : Epoch  3, Batch     72, Loss  0.619666, Average Loss  0.616150, Time  0.238864
2021-09-15 03:37:03.451247 : Epoch  4, Batch    175, Loss  0.615386, Average Loss  0.611467, Time  0.231556
2021-09-15 03:37:04.582370 : Epoch  3, Batch     73, Loss  0.617001, Average Loss  0.616161, Time  0.238954
2021-09-15 03:37:04.981173 : Epoch  4, Batch    176, Loss  0.621029, Average Loss  0.611523, Time  0.231481
2021-09-15 03:37:06.123860 : Epoch  3, Batch     74, Loss  0.602825, Average Loss  0.616122, Time  0.243762
2021-09-15 03:37:06.516252 : Epoch  4, Batch    177, Loss  0.614228, Average Loss  0.611575, Time  0.232122
2021-09-15 03:37:07.676884 : Epoch  3, Batch     75, Loss  0.613262, Average Loss  0.616143, Time  0.241200
2021-09-15 03:37:08.048062 : Epoch  4, Batch    178, Loss  0.606550, Average Loss  0.611528, Time  0.230706
2021-09-15 03:37:09.217395 : Epoch  3, Batch     76, Loss  0.618565, Average Loss  0.616167, Time  0.240691
2021-09-15 03:37:09.584090 : Epoch  4, Batch    179, Loss  0.606566, Average Loss  0.611509, Time  0.231581
2021-09-15 03:37:10.753963 : Epoch  3, Batch     77, Loss  0.613942, Average Loss  0.616126, Time  0.240639
2021-09-15 03:37:11.121270 : Epoch  4, Batch    180, Loss  0.609181, Average Loss  0.611510, Time  0.231850
2021-09-15 03:37:12.286994 : Epoch  3, Batch     78, Loss  0.609561, Average Loss  0.616042, Time  0.241360
2021-09-15 03:37:12.661785 : Epoch  4, Batch    181, Loss  0.603945, Average Loss  0.611446, Time  0.232648
2021-09-15 03:37:13.839429 : Epoch  3, Batch     79, Loss  0.599860, Average Loss  0.615938, Time  0.239349
2021-09-15 03:37:14.204140 : Epoch  4, Batch    182, Loss  0.609001, Average Loss  0.611444, Time  0.234211
2021-09-15 03:37:15.372784 : Epoch  3, Batch     80, Loss  0.609969, Average Loss  0.615872, Time  0.239909
2021-09-15 03:37:15.749071 : Epoch  4, Batch    183, Loss  0.588038, Average Loss  0.611334, Time  0.231657
2021-09-15 03:37:16.906163 : Epoch  3, Batch     81, Loss  0.600508, Average Loss  0.615757, Time  0.239302
2021-09-15 03:37:17.288550 : Epoch  4, Batch    184, Loss  0.623276, Average Loss  0.611387, Time  0.231189
2021-09-15 03:37:18.443811 : Epoch  3, Batch     82, Loss  0.614038, Average Loss  0.615682, Time  0.239609
2021-09-15 03:37:18.835440 : Epoch  4, Batch    185, Loss  0.608092, Average Loss  0.611362, Time  0.237050
2021-09-15 03:37:19.995064 : Epoch  3, Batch     83, Loss  0.615521, Average Loss  0.615672, Time  0.242323
2021-09-15 03:37:20.368260 : Epoch  4, Batch    186, Loss  0.604681, Average Loss  0.611313, Time  0.232697
2021-09-15 03:37:21.524745 : Epoch  3, Batch     84, Loss  0.613355, Average Loss  0.615731, Time  0.238796
2021-09-15 03:37:21.905403 : Epoch  4, Batch    187, Loss  0.609392, Average Loss  0.611305, Time  0.236365
2021-09-15 03:37:23.063975 : Epoch  3, Batch     85, Loss  0.614443, Average Loss  0.615723, Time  0.239312
2021-09-15 03:37:23.440612 : Epoch  4, Batch    188, Loss  0.617541, Average Loss  0.611342, Time  0.231148
2021-09-15 03:37:24.607385 : Epoch  3, Batch     86, Loss  0.613846, Average Loss  0.615677, Time  0.240501
2021-09-15 03:37:24.972591 : Epoch  4, Batch    189, Loss  0.609856, Average Loss  0.611323, Time  0.231242
2021-09-15 03:37:26.157819 : Epoch  3, Batch     87, Loss  0.610247, Average Loss  0.615627, Time  0.240148
2021-09-15 03:37:26.510048 : Epoch  4, Batch    190, Loss  0.616665, Average Loss  0.611367, Time  0.232562
2021-09-15 03:37:27.696067 : Epoch  3, Batch     88, Loss  0.613718, Average Loss  0.615586, Time  0.238877
2021-09-15 03:37:28.045213 : Epoch  4, Batch    191, Loss  0.622013, Average Loss  0.611446, Time  0.233073
2021-09-15 03:37:29.230772 : Epoch  3, Batch     89, Loss  0.614781, Average Loss  0.615572, Time  0.238911
2021-09-15 03:37:29.587409 : Epoch  4, Batch    192, Loss  0.612184, Average Loss  0.611409, Time  0.231385
2021-09-15 03:37:30.758047 : Epoch  3, Batch     90, Loss  0.616551, Average Loss  0.615591, Time  0.240266
2021-09-15 03:37:31.139947 : Epoch  4, Batch    193, Loss  0.609526, Average Loss  0.611386, Time  0.231731
2021-09-15 03:37:32.291955 : Epoch  3, Batch     91, Loss  0.612842, Average Loss  0.615602, Time  0.237980
2021-09-15 03:37:32.682392 : Epoch  4, Batch    194, Loss  0.617568, Average Loss  0.611454, Time  0.231095
2021-09-15 03:37:33.853145 : Epoch  3, Batch     92, Loss  0.614121, Average Loss  0.615607, Time  0.248701
2021-09-15 03:37:34.218598 : Epoch  4, Batch    195, Loss  0.626081, Average Loss  0.611530, Time  0.231046
2021-09-15 03:37:35.389418 : Epoch  3, Batch     93, Loss  0.607061, Average Loss  0.615633, Time  0.240047
2021-09-15 03:37:35.770374 : Epoch  4, Batch    196, Loss  0.614375, Average Loss  0.611547, Time  0.234575
2021-09-15 03:37:37.077044 : Epoch  3, Batch     94, Loss  0.612747, Average Loss  0.615591, Time  0.258447
2021-09-15 03:37:37.313133 : Epoch  4, Batch    197, Loss  0.598544, Average Loss  0.611543, Time  0.231286
2021-09-15 03:37:38.780024 : Epoch  3, Batch     95, Loss  0.611049, Average Loss  0.615584, Time  0.259320
2021-09-15 03:37:38.851018 : Epoch  4, Batch    198, Loss  0.606655, Average Loss  0.611463, Time  0.234498
2021-09-15 03:37:40.397598 : Epoch  4, Batch    199, Loss  0.609402, Average Loss  0.611425, Time  0.231374
2021-09-15 03:37:40.471169 : Epoch  3, Batch     96, Loss  0.605849, Average Loss  0.615486, Time  0.258909
2021-09-15 03:37:41.950923 : Epoch  4, Batch    200, Loss  0.605653, Average Loss  0.611383, Time  0.231172
2021-09-15 03:37:43.503390 : Epoch  4, Batch    201, Loss  0.611686, Average Loss  0.611408, Time  0.232100
2021-09-15 03:37:44.555498 : Epoch  3, Batch     97, Loss  0.608270, Average Loss  0.615514, Time  0.294441
2021-09-15 03:37:45.047345 : Epoch  4, Batch    202, Loss  0.606216, Average Loss  0.611442, Time  0.230947
2021-09-15 03:37:46.254388 : Epoch  3, Batch     98, Loss  0.614236, Average Loss  0.615502, Time  0.271686
2021-09-15 03:37:46.590541 : Epoch  4, Batch    203, Loss  0.616422, Average Loss  0.611418, Time  0.231349
2021-09-15 03:37:47.938041 : Epoch  3, Batch     99, Loss  0.610739, Average Loss  0.615479, Time  0.259822
2021-09-15 03:37:48.137435 : Epoch  4, Batch    204, Loss  0.620442, Average Loss  0.611453, Time  0.231835
2021-09-15 03:37:49.497209 : Epoch  3, Batch    100, Loss  0.609340, Average Loss  0.615479, Time  0.239076
2021-09-15 03:37:49.675824 : Epoch  4, Batch    205, Loss  0.619206, Average Loss  0.611523, Time  0.231473
2021-09-15 03:37:51.022673 : Epoch  3, Batch    101, Loss  0.630207, Average Loss  0.615541, Time  0.239968
2021-09-15 03:37:51.217558 : Epoch  4, Batch    206, Loss  0.598391, Average Loss  0.611508, Time  0.231275
2021-09-15 03:37:52.542067 : Epoch  3, Batch    102, Loss  0.607126, Average Loss  0.615483, Time  0.239168
2021-09-15 03:37:52.754316 : Epoch  4, Batch    207, Loss  0.607341, Average Loss  0.611520, Time  0.231637
2021-09-15 03:37:54.067842 : Epoch  3, Batch    103, Loss  0.618881, Average Loss  0.615507, Time  0.238752
2021-09-15 03:37:54.295363 : Epoch  4, Batch    208, Loss  0.615620, Average Loss  0.611572, Time  0.231113
2021-09-15 03:37:55.614446 : Epoch  3, Batch    104, Loss  0.613573, Average Loss  0.615501, Time  0.240505
2021-09-15 03:37:55.831862 : Epoch  4, Batch    209, Loss  0.599226, Average Loss  0.611478, Time  0.231674
2021-09-15 03:37:57.154829 : Epoch  3, Batch    105, Loss  0.625045, Average Loss  0.615549, Time  0.241729
2021-09-15 03:37:58.704071 : Epoch  3, Batch    106, Loss  0.628816, Average Loss  0.615597, Time  0.242600
2021-09-15 03:37:59.735239 : Epoch  4, Batch    210, Loss  0.607098, Average Loss  0.611472, Time  0.268685
2021-09-15 03:38:00.231883 : Epoch  3, Batch    107, Loss  0.614218, Average Loss  0.615561, Time  0.241855
2021-09-15 03:38:01.286865 : Epoch  4, Batch    211, Loss  0.613450, Average Loss  0.611484, Time  0.247252
2021-09-15 03:38:01.758020 : Epoch  3, Batch    108, Loss  0.615674, Average Loss  0.615555, Time  0.242178
2021-09-15 03:38:02.811887 : Epoch  4, Batch    212, Loss  0.608239, Average Loss  0.611493, Time  0.231113
2021-09-15 03:38:03.286405 : Epoch  3, Batch    109, Loss  0.619706, Average Loss  0.615610, Time  0.241978
2021-09-15 03:38:04.343385 : Epoch  4, Batch    213, Loss  0.612622, Average Loss  0.611481, Time  0.231184
2021-09-15 03:38:04.822846 : Epoch  3, Batch    110, Loss  0.608183, Average Loss  0.615573, Time  0.244310
2021-09-15 03:38:05.883955 : Epoch  4, Batch    214, Loss  0.623468, Average Loss  0.611556, Time  0.231206
2021-09-15 03:38:06.337970 : Epoch  3, Batch    111, Loss  0.616047, Average Loss  0.615628, Time  0.238612
2021-09-15 03:38:07.416412 : Epoch  4, Batch    215, Loss  0.605983, Average Loss  0.611550, Time  0.231147
2021-09-15 03:38:07.858135 : Epoch  3, Batch    112, Loss  0.605134, Average Loss  0.615583, Time  0.238088
2021-09-15 03:38:08.955584 : Epoch  4, Batch    216, Loss  0.613570, Average Loss  0.611510, Time  0.231466
2021-09-15 03:38:09.399946 : Epoch  3, Batch    113, Loss  0.619244, Average Loss  0.615675, Time  0.241971
2021-09-15 03:38:10.497828 : Epoch  4, Batch    217, Loss  0.603744, Average Loss  0.611465, Time  0.231498
2021-09-15 03:38:10.923971 : Epoch  3, Batch    114, Loss  0.609577, Average Loss  0.615591, Time  0.238966
2021-09-15 03:38:12.041985 : Epoch  4, Batch    218, Loss  0.613550, Average Loss  0.611464, Time  0.231315
2021-09-15 03:38:12.459099 : Epoch  3, Batch    115, Loss  0.620230, Average Loss  0.615571, Time  0.242625
2021-09-15 03:38:13.580382 : Epoch  4, Batch    219, Loss  0.605992, Average Loss  0.611507, Time  0.231516
2021-09-15 03:38:13.976971 : Epoch  3, Batch    116, Loss  0.608239, Average Loss  0.615511, Time  0.240680
2021-09-15 03:38:15.111839 : Epoch  4, Batch    220, Loss  0.617700, Average Loss  0.611577, Time  0.232305
2021-09-15 03:38:15.510420 : Epoch  3, Batch    117, Loss  0.627144, Average Loss  0.615524, Time  0.240001
2021-09-15 03:38:16.652122 : Epoch  4, Batch    221, Loss  0.620078, Average Loss  0.611618, Time  0.231353
2021-09-15 03:38:17.041353 : Epoch  3, Batch    118, Loss  0.614528, Average Loss  0.615524, Time  0.240838
2021-09-15 03:38:18.199447 : Epoch  4, Batch    222, Loss  0.605081, Average Loss  0.611627, Time  0.232105
2021-09-15 03:38:18.566789 : Epoch  3, Batch    119, Loss  0.619796, Average Loss  0.615518, Time  0.240340
2021-09-15 03:38:19.751374 : Epoch  4, Batch    223, Loss  0.611974, Average Loss  0.611624, Time  0.234684
2021-09-15 03:38:20.085602 : Epoch  3, Batch    120, Loss  0.611357, Average Loss  0.615519, Time  0.237766
2021-09-15 03:38:21.296792 : Epoch  4, Batch    224, Loss  0.609384, Average Loss  0.611539, Time  0.232720
2021-09-15 03:38:21.616910 : Epoch  3, Batch    121, Loss  0.622502, Average Loss  0.615625, Time  0.243181
2021-09-15 03:38:22.833032 : Epoch  4, Batch    225, Loss  0.610844, Average Loss  0.611525, Time  0.232916
2021-09-15 03:38:23.139776 : Epoch  3, Batch    122, Loss  0.608718, Average Loss  0.615574, Time  0.240138
2021-09-15 03:38:24.373028 : Epoch  4, Batch    226, Loss  0.614898, Average Loss  0.611543, Time  0.234479
2021-09-15 03:38:24.660794 : Epoch  3, Batch    123, Loss  0.620613, Average Loss  0.615591, Time  0.237666
2021-09-15 03:38:25.927620 : Epoch  4, Batch    227, Loss  0.606594, Average Loss  0.611547, Time  0.231442
2021-09-15 03:38:26.180061 : Epoch  3, Batch    124, Loss  0.604589, Average Loss  0.615540, Time  0.240860
2021-09-15 03:38:27.420194 : CheckPoint: Validation Loss  0.00030699, Best Loss  0.00029960
2021-09-15 03:38:27.469608 : Epoch  4, Batch    228, Loss  0.612167, Average Loss  0.611534, Time  0.231548
2021-09-15 03:38:27.706073 : Epoch  3, Batch    125, Loss  0.603910, Average Loss  0.615472, Time  0.238561
2021-09-15 03:38:29.009372 : Epoch  4, Batch    229, Loss  0.603099, Average Loss  0.611514, Time  0.231216
2021-09-15 03:38:29.390708 : Epoch  3, Batch    126, Loss  0.615431, Average Loss  0.615449, Time  0.258576
2021-09-15 03:38:30.491222 : Epoch  1, Batch    901, Loss  0.866102, Average Loss  0.880152, Time  0.266836
2021-09-15 03:38:30.554597 : Epoch  4, Batch    230, Loss  0.614635, Average Loss  0.611495, Time  0.231293
2021-09-15 03:38:32.101332 : Epoch  4, Batch    231, Loss  0.617758, Average Loss  0.611564, Time  0.231329
2021-09-15 03:38:33.483486 : Epoch  1, Batch    902, Loss  0.893846, Average Loss  0.880187, Time  0.264596
2021-09-15 03:38:33.638108 : Epoch  4, Batch    232, Loss  0.599670, Average Loss  0.611447, Time  0.232553
2021-09-15 03:38:35.186100 : Epoch  4, Batch    233, Loss  0.606605, Average Loss  0.611453, Time  0.231400
2021-09-15 03:38:36.501858 : Epoch  1, Batch    903, Loss  0.889323, Average Loss  0.880230, Time  0.266492
2021-09-15 03:38:36.730813 : Epoch  4, Batch    234, Loss  0.605417, Average Loss  0.611414, Time  0.231370
2021-09-15 03:38:38.279885 : Epoch  4, Batch    235, Loss  0.605601, Average Loss  0.611384, Time  0.232149
2021-09-15 03:38:39.484325 : Epoch  1, Batch    904, Loss  0.912591, Average Loss  0.880399, Time  0.264750
2021-09-15 03:38:39.819166 : Epoch  4, Batch    236, Loss  0.602965, Average Loss  0.611330, Time  0.231532
2021-09-15 03:38:41.350651 : Epoch  4, Batch    237, Loss  0.604930, Average Loss  0.611308, Time  0.231370
2021-09-15 03:38:42.535542 : Epoch  1, Batch    905, Loss  0.854815, Average Loss  0.880273, Time  0.266495
2021-09-15 03:38:42.888298 : Epoch  4, Batch    238, Loss  0.619320, Average Loss  0.611374, Time  0.231975
2021-09-15 03:38:44.421784 : Epoch  4, Batch    239, Loss  0.604804, Average Loss  0.611325, Time  0.231002
2021-09-15 03:38:45.580956 : Epoch  1, Batch    906, Loss  0.888346, Average Loss  0.880354, Time  0.265104
2021-09-15 03:38:48.612011 : Epoch  1, Batch    907, Loss  0.868570, Average Loss  0.880338, Time  0.265499
2021-09-15 03:38:51.642708 : Epoch  1, Batch    908, Loss  0.888289, Average Loss  0.880453, Time  0.265887
2021-09-15 03:38:54.655870 : Epoch  1, Batch    909, Loss  0.873257, Average Loss  0.880279, Time  0.265061
2021-09-15 03:38:57.697398 : Epoch  1, Batch    910, Loss  0.870383, Average Loss  0.880149, Time  0.275630
2021-09-15 03:39:00.745461 : Epoch  1, Batch    911, Loss  0.879777, Average Loss  0.880150, Time  0.266144
2021-09-15 03:39:03.746656 : Epoch  1, Batch    912, Loss  0.889753, Average Loss  0.880138, Time  0.266297
2021-09-15 03:39:06.764513 : Epoch  1, Batch    913, Loss  0.863610, Average Loss  0.880015, Time  0.265394
2021-09-15 03:39:09.771291 : Epoch  1, Batch    914, Loss  0.859784, Average Loss  0.879924, Time  0.264673
2021-09-15 03:39:12.780573 : Epoch  1, Batch    915, Loss  0.876287, Average Loss  0.879883, Time  0.264891
2021-09-15 03:39:15.785547 : Epoch  1, Batch    916, Loss  0.880620, Average Loss  0.879777, Time  0.265398
2021-09-15 03:39:18.801838 : Epoch  1, Batch    917, Loss  0.887035, Average Loss  0.879735, Time  0.265435
2021-09-15 03:39:21.828348 : Epoch  1, Batch    918, Loss  0.893433, Average Loss  0.879745, Time  0.264617
2021-09-15 03:39:24.836316 : Epoch  1, Batch    919, Loss  0.852700, Average Loss  0.879610, Time  0.265600
2021-09-15 03:39:27.877435 : Epoch  1, Batch    920, Loss  0.883696, Average Loss  0.879776, Time  0.264879
2021-09-15 03:39:30.876452 : Epoch  1, Batch    921, Loss  0.879897, Average Loss  0.879773, Time  0.264835
2021-09-15 03:39:31.703698 : CheckPoint: Validation Loss  0.00025913, Best Loss  0.00025447
2021-09-15 03:39:33.377060 : Epoch  3, Batch    127, Loss  0.605653, Average Loss  0.615420, Time  0.259416
2021-09-15 03:39:33.886224 : Epoch  1, Batch    922, Loss  0.856613, Average Loss  0.879577, Time  0.265263
2021-09-15 03:39:35.041224 : Epoch  3, Batch    128, Loss  0.614779, Average Loss  0.615408, Time  0.257928
2021-09-15 03:39:36.577946 : Epoch  3, Batch    129, Loss  0.620928, Average Loss  0.615384, Time  0.240355
2021-09-15 03:39:36.895935 : Epoch  1, Batch    923, Loss  0.885908, Average Loss  0.879578, Time  0.267194
2021-09-15 03:39:38.123408 : Epoch  3, Batch    130, Loss  0.611936, Average Loss  0.615344, Time  0.242154
2021-09-15 03:39:39.647077 : Epoch  3, Batch    131, Loss  0.616760, Average Loss  0.615352, Time  0.239931
2021-09-15 03:39:39.922023 : Epoch  1, Batch    924, Loss  0.871302, Average Loss  0.879498, Time  0.268391
2021-09-15 03:39:41.168359 : Epoch  3, Batch    132, Loss  0.614676, Average Loss  0.615317, Time  0.238009
2021-09-15 03:39:42.277729 : CheckPoint: Validation Loss  0.00026646, Best Loss  0.00024882
2021-09-15 03:39:42.693015 : Epoch  3, Batch    133, Loss  0.614261, Average Loss  0.615311, Time  0.239049
2021-09-15 03:39:42.974450 : Epoch  1, Batch    925, Loss  0.880021, Average Loss  0.879422, Time  0.274121
2021-09-15 03:39:43.824061 : Epoch  4, Batch    240, Loss  0.604904, Average Loss  0.611262, Time  0.233197
2021-09-15 03:39:44.211775 : Epoch  3, Batch    134, Loss  0.612243, Average Loss  0.615326, Time  0.239193
2021-09-15 03:39:45.359608 : Epoch  4, Batch    241, Loss  0.608381, Average Loss  0.611203, Time  0.231891
2021-09-15 03:39:45.737433 : Epoch  3, Batch    135, Loss  0.606286, Average Loss  0.615242, Time  0.242448
2021-09-15 03:39:45.961486 : Epoch  1, Batch    926, Loss  0.894741, Average Loss  0.879339, Time  0.264689
2021-09-15 03:39:46.896250 : Epoch  4, Batch    242, Loss  0.596073, Average Loss  0.611146, Time  0.230568
2021-09-15 03:39:47.246891 : Epoch  3, Batch    136, Loss  0.612938, Average Loss  0.615277, Time  0.240058
2021-09-15 03:39:48.429485 : Epoch  4, Batch    243, Loss  0.605293, Average Loss  0.611091, Time  0.231316
2021-09-15 03:39:48.753813 : Epoch  3, Batch    137, Loss  0.613360, Average Loss  0.615287, Time  0.240790
2021-09-15 03:39:48.957279 : Epoch  1, Batch    927, Loss  0.873276, Average Loss  0.879282, Time  0.265268
2021-09-15 03:39:49.971307 : Epoch  4, Batch    244, Loss  0.623237, Average Loss  0.611116, Time  0.230414
2021-09-15 03:39:50.264817 : Epoch  3, Batch    138, Loss  0.605182, Average Loss  0.615238, Time  0.241605
2021-09-15 03:39:51.508392 : Epoch  4, Batch    245, Loss  0.591523, Average Loss  0.611060, Time  0.231188
2021-09-15 03:39:51.779843 : Epoch  3, Batch    139, Loss  0.616128, Average Loss  0.615260, Time  0.240252
2021-09-15 03:39:51.978765 : Epoch  1, Batch    928, Loss  0.878867, Average Loss  0.879119, Time  0.265538
2021-09-15 03:39:53.052022 : Epoch  4, Batch    246, Loss  0.612073, Average Loss  0.610988, Time  0.230895
2021-09-15 03:39:53.301201 : Epoch  3, Batch    140, Loss  0.616070, Average Loss  0.615235, Time  0.240779
2021-09-15 03:39:54.589932 : Epoch  4, Batch    247, Loss  0.608022, Average Loss  0.610984, Time  0.230831
2021-09-15 03:39:54.964912 : Epoch  3, Batch    141, Loss  0.612675, Average Loss  0.615225, Time  0.241736
2021-09-15 03:39:54.986075 : Epoch  1, Batch    929, Loss  0.865660, Average Loss  0.878979, Time  0.266773
2021-09-15 03:39:56.135097 : Epoch  4, Batch    248, Loss  0.609084, Average Loss  0.610965, Time  0.231160
2021-09-15 03:39:56.481113 : Epoch  3, Batch    142, Loss  0.623731, Average Loss  0.615306, Time  0.239129
2021-09-15 03:39:57.681885 : Epoch  4, Batch    249, Loss  0.609893, Average Loss  0.610894, Time  0.231513
2021-09-15 03:39:57.983040 : Epoch  1, Batch    930, Loss  0.879638, Average Loss  0.878900, Time  0.265859
2021-09-15 03:39:57.990967 : Epoch  3, Batch    143, Loss  0.623206, Average Loss  0.615361, Time  0.240664
2021-09-15 03:39:59.229142 : Epoch  4, Batch    250, Loss  0.617571, Average Loss  0.610886, Time  0.231169
2021-09-15 03:39:59.510471 : Epoch  3, Batch    144, Loss  0.617855, Average Loss  0.615387, Time  0.239874
2021-09-15 03:40:00.784419 : Epoch  4, Batch    251, Loss  0.631027, Average Loss  0.610984, Time  0.232525
2021-09-15 03:40:00.991114 : Epoch  1, Batch    931, Loss  0.868916, Average Loss  0.878894, Time  0.264538
2021-09-15 03:40:01.030952 : Epoch  3, Batch    145, Loss  0.615508, Average Loss  0.615369, Time  0.241903
2021-09-15 03:40:02.335488 : Epoch  4, Batch    252, Loss  0.610024, Average Loss  0.611025, Time  0.231436
2021-09-15 03:40:02.547757 : Epoch  3, Batch    146, Loss  0.610669, Average Loss  0.615356, Time  0.238904
2021-09-15 03:40:03.866445 : Epoch  4, Batch    253, Loss  0.606445, Average Loss  0.611020, Time  0.233485
2021-09-15 03:40:03.995572 : Epoch  1, Batch    932, Loss  0.879093, Average Loss  0.878921, Time  0.265469
2021-09-15 03:40:04.071903 : Epoch  3, Batch    147, Loss  0.626627, Average Loss  0.615385, Time  0.242036
2021-09-15 03:40:05.410859 : Epoch  4, Batch    254, Loss  0.608199, Average Loss  0.610989, Time  0.231488
2021-09-15 03:40:05.599014 : Epoch  3, Batch    148, Loss  0.617800, Average Loss  0.615340, Time  0.240047
2021-09-15 03:40:06.958915 : Epoch  4, Batch    255, Loss  0.615279, Average Loss  0.610977, Time  0.231932
2021-09-15 03:40:06.979002 : Epoch  1, Batch    933, Loss  0.855746, Average Loss  0.878826, Time  0.264901
2021-09-15 03:40:07.125854 : Epoch  3, Batch    149, Loss  0.609852, Average Loss  0.615275, Time  0.240499
2021-09-15 03:40:08.511399 : Epoch  4, Batch    256, Loss  0.601733, Average Loss  0.610955, Time  0.231337
2021-09-15 03:40:08.645972 : Epoch  3, Batch    150, Loss  0.609156, Average Loss  0.615223, Time  0.240783
2021-09-15 03:40:10.002058 : Epoch  1, Batch    934, Loss  0.857578, Average Loss  0.878758, Time  0.264749
2021-09-15 03:40:10.056099 : Epoch  4, Batch    257, Loss  0.604813, Average Loss  0.610912, Time  0.231778
2021-09-15 03:40:10.160405 : Epoch  3, Batch    151, Loss  0.616637, Average Loss  0.615198, Time  0.239141
2021-09-15 03:40:11.606030 : Epoch  4, Batch    258, Loss  0.616220, Average Loss  0.610988, Time  0.231653
2021-09-15 03:40:11.668349 : Epoch  3, Batch    152, Loss  0.614412, Average Loss  0.615188, Time  0.239143
2021-09-15 03:40:13.023409 : Epoch  1, Batch    935, Loss  0.873267, Average Loss  0.878642, Time  0.265525
2021-09-15 03:40:13.159136 : Epoch  4, Batch    259, Loss  0.616938, Average Loss  0.611005, Time  0.232512
2021-09-15 03:40:13.208828 : Epoch  3, Batch    153, Loss  0.603713, Average Loss  0.615115, Time  0.239649
2021-09-15 03:40:14.695078 : Epoch  4, Batch    260, Loss  0.622061, Average Loss  0.611016, Time  0.231327
2021-09-15 03:40:14.741836 : Epoch  3, Batch    154, Loss  0.612526, Average Loss  0.615091, Time  0.243114
2021-09-15 03:40:16.051683 : Epoch  1, Batch    936, Loss  0.865839, Average Loss  0.878573, Time  0.265476
2021-09-15 03:40:16.252389 : Epoch  4, Batch    261, Loss  0.609490, Average Loss  0.611089, Time  0.231143
2021-09-15 03:40:16.281437 : Epoch  3, Batch    155, Loss  0.615425, Average Loss  0.615072, Time  0.237308
2021-09-15 03:40:17.791266 : Epoch  4, Batch    262, Loss  0.608428, Average Loss  0.610994, Time  0.232374
2021-09-15 03:40:17.820501 : Epoch  3, Batch    156, Loss  0.619255, Average Loss  0.615083, Time  0.242378
2021-09-15 03:40:17.924227 : Epoch  4, Batch    263, Loss  0.542814, Average Loss  0.610663, Time  0.091512
2021-09-15 03:40:19.045064 : Epoch  1, Batch    937, Loss  0.888431, Average Loss  0.878609, Time  0.264591
2021-09-15 03:40:19.361105 : Epoch  3, Batch    157, Loss  0.610405, Average Loss  0.614966, Time  0.242115
2021-09-15 03:40:19.469160 : Epoch  4, Batch    264, Loss  0.616035, Average Loss  0.610698, Time  0.231629
2021-09-15 03:40:20.876776 : Epoch  3, Batch    158, Loss  0.627551, Average Loss  0.615049, Time  0.238174
2021-09-15 03:40:21.004648 : Epoch  4, Batch    265, Loss  0.629738, Average Loss  0.610814, Time  0.233684
2021-09-15 03:40:22.048721 : Epoch  1, Batch    938, Loss  0.894224, Average Loss  0.878530, Time  0.263775
2021-09-15 03:40:22.400784 : Epoch  3, Batch    159, Loss  0.620125, Average Loss  0.615054, Time  0.240114
2021-09-15 03:40:22.538608 : Epoch  4, Batch    266, Loss  0.617541, Average Loss  0.610843, Time  0.231642
2021-09-15 03:40:23.929529 : Epoch  3, Batch    160, Loss  0.617191, Average Loss  0.615100, Time  0.241627
2021-09-15 03:40:24.078012 : Epoch  4, Batch    267, Loss  0.631698, Average Loss  0.610931, Time  0.231551
2021-09-15 03:40:25.046636 : Epoch  1, Batch    939, Loss  0.882001, Average Loss  0.878623, Time  0.265217
2021-09-15 03:40:25.471972 : Epoch  3, Batch    161, Loss  0.625482, Average Loss  0.615218, Time  0.242680
2021-09-15 03:40:25.626084 : Epoch  4, Batch    268, Loss  0.615603, Average Loss  0.611017, Time  0.231378
2021-09-15 03:40:26.985022 : Epoch  3, Batch    162, Loss  0.602298, Average Loss  0.615164, Time  0.239382
2021-09-15 03:40:27.163324 : Epoch  4, Batch    269, Loss  0.619165, Average Loss  0.611051, Time  0.230984
2021-09-15 03:40:28.098351 : Epoch  1, Batch    940, Loss  0.880148, Average Loss  0.878607, Time  0.273936
2021-09-15 03:40:28.517823 : Epoch  3, Batch    163, Loss  0.608348, Average Loss  0.615158, Time  0.241874
2021-09-15 03:40:28.696349 : Epoch  4, Batch    270, Loss  0.631257, Average Loss  0.611114, Time  0.230956
2021-09-15 03:40:30.053402 : Epoch  3, Batch    164, Loss  0.602410, Average Loss  0.615044, Time  0.240897
2021-09-15 03:40:30.228879 : Epoch  4, Batch    271, Loss  0.622210, Average Loss  0.611184, Time  0.231400
2021-09-15 03:40:31.123480 : Epoch  1, Batch    941, Loss  0.898663, Average Loss  0.878704, Time  0.264277
2021-09-15 03:40:31.588144 : Epoch  3, Batch    165, Loss  0.614734, Average Loss  0.614986, Time  0.240959
2021-09-15 03:40:31.764035 : Epoch  4, Batch    272, Loss  0.627046, Average Loss  0.611276, Time  0.231080
2021-09-15 03:40:33.109144 : Epoch  3, Batch    166, Loss  0.618534, Average Loss  0.614954, Time  0.240595
2021-09-15 03:40:33.311077 : Epoch  4, Batch    273, Loss  0.620568, Average Loss  0.611352, Time  0.231274
2021-09-15 03:40:34.117212 : Epoch  1, Batch    942, Loss  0.874796, Average Loss  0.878681, Time  0.265126
2021-09-15 03:40:34.636404 : Epoch  3, Batch    167, Loss  0.615245, Average Loss  0.614969, Time  0.240155
2021-09-15 03:40:34.865013 : Epoch  4, Batch    274, Loss  0.621398, Average Loss  0.611350, Time  0.231789
2021-09-15 03:40:36.174021 : Epoch  3, Batch    168, Loss  0.610630, Average Loss  0.614951, Time  0.241734
2021-09-15 03:40:36.407815 : Epoch  4, Batch    275, Loss  0.625979, Average Loss  0.611403, Time  0.231181
2021-09-15 03:40:37.119626 : Epoch  1, Batch    943, Loss  0.891194, Average Loss  0.878679, Time  0.267301
2021-09-15 03:40:37.718502 : Epoch  3, Batch    169, Loss  0.622162, Average Loss  0.615008, Time  0.241588
2021-09-15 03:40:37.957191 : Epoch  4, Batch    276, Loss  0.609850, Average Loss  0.611432, Time  0.230844
2021-09-15 03:40:39.245154 : Epoch  3, Batch    170, Loss  0.607399, Average Loss  0.614940, Time  0.238424
2021-09-15 03:40:39.496647 : Epoch  4, Batch    277, Loss  0.623820, Average Loss  0.611504, Time  0.231296
2021-09-15 03:40:40.165747 : Epoch  1, Batch    944, Loss  0.877696, Average Loss  0.878680, Time  0.266895
2021-09-15 03:40:40.767839 : Epoch  3, Batch    171, Loss  0.611392, Average Loss  0.614896, Time  0.240450
2021-09-15 03:40:41.041935 : Epoch  4, Batch    278, Loss  0.614740, Average Loss  0.611519, Time  0.231462
2021-09-15 03:40:42.308900 : Epoch  3, Batch    172, Loss  0.620568, Average Loss  0.614916, Time  0.240233
2021-09-15 03:40:42.566871 : Epoch  4, Batch    279, Loss  0.607734, Average Loss  0.611536, Time  0.231357
2021-09-15 03:40:43.166855 : Epoch  1, Batch    945, Loss  0.877705, Average Loss  0.878676, Time  0.265367
2021-09-15 03:40:43.840131 : Epoch  3, Batch    173, Loss  0.621523, Average Loss  0.614972, Time  0.240688
2021-09-15 03:40:44.124407 : Epoch  4, Batch    280, Loss  0.615194, Average Loss  0.611511, Time  0.231355
2021-09-15 03:40:45.518859 : Epoch  3, Batch    174, Loss  0.616898, Average Loss  0.614916, Time  0.256613
2021-09-15 03:40:45.662867 : Epoch  4, Batch    281, Loss  0.626966, Average Loss  0.611534, Time  0.231351
2021-09-15 03:40:46.207526 : Epoch  1, Batch    946, Loss  0.867409, Average Loss  0.878579, Time  0.264899
2021-09-15 03:40:47.200194 : Epoch  3, Batch    175, Loss  0.624907, Average Loss  0.614982, Time  0.261797
2021-09-15 03:40:47.226790 : Epoch  4, Batch    282, Loss  0.618437, Average Loss  0.611518, Time  0.233632
2021-09-15 03:40:48.781032 : Epoch  4, Batch    283, Loss  0.605273, Average Loss  0.611504, Time  0.231556
2021-09-15 03:40:48.900454 : Epoch  3, Batch    176, Loss  0.609602, Average Loss  0.614977, Time  0.260547
2021-09-15 03:40:49.235452 : Epoch  1, Batch    947, Loss  0.866664, Average Loss  0.878578, Time  0.265460
2021-09-15 03:40:50.321735 : Epoch  4, Batch    284, Loss  0.624906, Average Loss  0.611607, Time  0.231465
2021-09-15 03:40:50.579773 : Epoch  3, Batch    177, Loss  0.615723, Average Loss  0.614997, Time  0.259828
2021-09-15 03:40:51.874886 : Epoch  4, Batch    285, Loss  0.610955, Average Loss  0.611573, Time  0.232177
2021-09-15 03:40:52.248107 : Epoch  3, Batch    178, Loss  0.614999, Average Loss  0.614990, Time  0.260827
2021-09-15 03:40:53.422844 : Epoch  4, Batch    286, Loss  0.619189, Average Loss  0.611631, Time  0.232106
2021-09-15 03:40:53.827944 : Epoch  3, Batch    179, Loss  0.615029, Average Loss  0.614949, Time  0.239584
2021-09-15 03:40:54.967380 : Epoch  4, Batch    287, Loss  0.612230, Average Loss  0.611575, Time  0.231261
2021-09-15 03:40:55.263126 : Epoch  1, Batch    949, Loss  0.874931, Average Loss  0.878645, Time  0.267004
2021-09-15 03:40:55.343828 : Epoch  3, Batch    180, Loss  0.613960, Average Loss  0.614921, Time  0.237931
2021-09-15 03:40:56.512631 : Epoch  4, Batch    288, Loss  0.599581, Average Loss  0.611499, Time  0.231481
2021-09-15 03:40:56.875936 : Epoch  3, Batch    181, Loss  0.626340, Average Loss  0.614980, Time  0.241220
2021-09-15 03:40:58.064378 : Epoch  4, Batch    289, Loss  0.599211, Average Loss  0.611446, Time  0.231134
2021-09-15 03:40:58.315049 : Epoch  1, Batch    950, Loss  0.887189, Average Loss  0.878587, Time  0.265567
2021-09-15 03:40:58.555817 : Epoch  3, Batch    182, Loss  0.608108, Average Loss  0.614936, Time  0.259606
2021-09-15 03:40:59.606217 : Epoch  4, Batch    290, Loss  0.621519, Average Loss  0.611440, Time  0.231427
2021-09-15 03:41:00.236068 : Epoch  3, Batch    183, Loss  0.619351, Average Loss  0.615002, Time  0.260491
2021-09-15 03:41:01.159174 : Epoch  4, Batch    291, Loss  0.609616, Average Loss  0.611389, Time  0.231366
2021-09-15 03:41:01.339119 : Epoch  1, Batch    951, Loss  0.881493, Average Loss  0.878494, Time  0.267965
2021-09-15 03:41:01.912037 : Epoch  3, Batch    184, Loss  0.611647, Average Loss  0.614994, Time  0.257463
2021-09-15 03:41:02.711638 : Epoch  4, Batch    292, Loss  0.611535, Average Loss  0.611445, Time  0.231339
2021-09-15 03:41:03.594776 : Epoch  3, Batch    185, Loss  0.609484, Average Loss  0.614963, Time  0.261843
2021-09-15 03:41:04.262450 : Epoch  4, Batch    293, Loss  0.612367, Average Loss  0.611350, Time  0.235600
2021-09-15 03:41:04.372225 : Epoch  1, Batch    952, Loss  0.917395, Average Loss  0.878740, Time  0.266764
2021-09-15 03:41:05.282895 : Epoch  3, Batch    186, Loss  0.616137, Average Loss  0.614989, Time  0.256851
2021-09-15 03:41:05.812879 : Epoch  4, Batch    294, Loss  0.616312, Average Loss  0.611394, Time  0.231318
2021-09-15 03:41:06.816661 : Epoch  3, Batch    187, Loss  0.619852, Average Loss  0.615000, Time  0.240506
2021-09-15 03:41:07.361294 : Epoch  4, Batch    295, Loss  0.605873, Average Loss  0.611329, Time  0.231360
2021-09-15 03:41:07.378341 : Epoch  1, Batch    953, Loss  0.884069, Average Loss  0.878911, Time  0.265566
2021-09-15 03:41:08.470816 : Epoch  3, Batch    188, Loss  0.612274, Average Loss  0.614948, Time  0.239727
2021-09-15 03:41:08.905152 : Epoch  4, Batch    296, Loss  0.614316, Average Loss  0.611310, Time  0.231731
2021-09-15 03:41:09.996914 : Epoch  3, Batch    189, Loss  0.632128, Average Loss  0.615019, Time  0.240686
2021-09-15 03:41:10.398668 : Epoch  1, Batch    954, Loss  0.877230, Average Loss  0.878800, Time  0.264310
2021-09-15 03:41:10.445801 : Epoch  4, Batch    297, Loss  0.623864, Average Loss  0.611364, Time  0.232186
2021-09-15 03:41:11.549178 : Epoch  3, Batch    190, Loss  0.611084, Average Loss  0.614956, Time  0.240347
2021-09-15 03:41:11.995460 : Epoch  4, Batch    298, Loss  0.593652, Average Loss  0.611328, Time  0.231170
2021-09-15 03:41:13.078433 : Epoch  3, Batch    191, Loss  0.622652, Average Loss  0.615036, Time  0.237242
2021-09-15 03:41:13.408725 : Epoch  1, Batch    955, Loss  0.875698, Average Loss  0.878818, Time  0.271256
2021-09-15 03:41:13.536356 : Epoch  4, Batch    299, Loss  0.600453, Average Loss  0.611336, Time  0.231050
2021-09-15 03:41:14.607636 : Epoch  3, Batch    192, Loss  0.618505, Average Loss  0.615027, Time  0.238049
2021-09-15 03:41:15.072120 : Epoch  4, Batch    300, Loss  0.620438, Average Loss  0.611406, Time  0.231132
2021-09-15 03:41:16.296604 : Epoch  3, Batch    193, Loss  0.627418, Average Loss  0.615053, Time  0.261575
2021-09-15 03:41:16.418519 : Epoch  1, Batch    956, Loss  0.864771, Average Loss  0.878843, Time  0.265599
2021-09-15 03:41:16.627943 : Epoch  4, Batch    301, Loss  0.617356, Average Loss  0.611495, Time  0.231380
2021-09-15 03:41:17.993528 : Epoch  3, Batch    194, Loss  0.620828, Average Loss  0.615092, Time  0.260941
2021-09-15 03:41:18.169290 : Epoch  4, Batch    302, Loss  0.617728, Average Loss  0.611528, Time  0.231328
2021-09-15 03:41:19.411723 : Epoch  1, Batch    957, Loss  0.858328, Average Loss  0.878893, Time  0.264882
2021-09-15 03:41:19.668706 : Epoch  3, Batch    195, Loss  0.619859, Average Loss  0.615127, Time  0.257413
2021-09-15 03:41:19.712378 : Epoch  4, Batch    303, Loss  0.620537, Average Loss  0.611560, Time  0.231484
2021-09-15 03:41:21.254328 : Epoch  4, Batch    304, Loss  0.610727, Average Loss  0.611547, Time  0.231571
2021-09-15 03:41:21.344553 : Epoch  3, Batch    196, Loss  0.610562, Average Loss  0.615113, Time  0.260474
2021-09-15 03:41:22.412161 : Epoch  1, Batch    958, Loss  0.879776, Average Loss  0.878853, Time  0.266202
2021-09-15 03:41:22.803189 : Epoch  4, Batch    305, Loss  0.627125, Average Loss  0.611582, Time  0.231377
2021-09-15 03:41:24.341165 : Epoch  4, Batch    306, Loss  0.624356, Average Loss  0.611621, Time  0.231555
2021-09-15 03:41:25.407006 : Epoch  1, Batch    959, Loss  0.880094, Average Loss  0.878815, Time  0.265546
2021-09-15 03:41:25.518193 : Epoch  3, Batch    197, Loss  0.601294, Average Loss  0.614958, Time  0.275468
2021-09-15 03:41:25.902096 : Epoch  4, Batch    307, Loss  0.618763, Average Loss  0.611657, Time  0.231110
2021-09-15 03:41:27.208967 : Epoch  3, Batch    198, Loss  0.613511, Average Loss  0.614955, Time  0.277588
2021-09-15 03:41:27.445327 : Epoch  4, Batch    308, Loss  0.611664, Average Loss  0.611634, Time  0.231600
2021-09-15 03:41:28.433986 : Epoch  1, Batch    960, Loss  0.895397, Average Loss  0.878791, Time  0.265620
2021-09-15 03:41:28.895920 : Epoch  3, Batch    199, Loss  0.610597, Average Loss  0.614904, Time  0.263611
2021-09-15 03:41:28.987533 : Epoch  4, Batch    309, Loss  0.615952, Average Loss  0.611673, Time  0.234960
2021-09-15 03:41:30.425570 : Epoch  3, Batch    200, Loss  0.624864, Average Loss  0.614963, Time  0.239828
2021-09-15 03:41:30.533871 : Epoch  4, Batch    310, Loss  0.621607, Average Loss  0.611785, Time  0.231651
2021-09-15 03:41:31.441782 : Epoch  1, Batch    961, Loss  0.841125, Average Loss  0.878538, Time  0.265368
2021-09-15 03:41:31.949858 : Epoch  3, Batch    201, Loss  0.604870, Average Loss  0.614858, Time  0.237961
2021-09-15 03:41:33.463043 : Epoch  3, Batch    202, Loss  0.614733, Average Loss  0.614875, Time  0.238261
2021-09-15 03:41:34.444230 : Epoch  1, Batch    962, Loss  0.876690, Average Loss  0.878413, Time  0.264856
2021-09-15 03:41:34.447189 : Epoch  4, Batch    311, Loss  0.607628, Average Loss  0.611780, Time  0.269761
2021-09-15 03:41:35.001417 : Epoch  3, Batch    203, Loss  0.609635, Average Loss  0.614898, Time  0.241660
2021-09-15 03:41:36.027634 : Epoch  4, Batch    312, Loss  0.609795, Average Loss  0.611744, Time  0.245625
2021-09-15 03:41:36.534069 : Epoch  3, Batch    204, Loss  0.626598, Average Loss  0.614939, Time  0.239618
2021-09-15 03:41:37.443277 : Epoch  1, Batch    963, Loss  0.881514, Average Loss  0.878359, Time  0.265090
2021-09-15 03:41:37.572032 : Epoch  4, Batch    313, Loss  0.607478, Average Loss  0.611710, Time  0.231417
2021-09-15 03:41:38.202674 : Epoch  3, Batch    205, Loss  0.613622, Average Loss  0.614887, Time  0.256339
2021-09-15 03:41:39.124393 : Epoch  4, Batch    314, Loss  0.608375, Average Loss  0.611683, Time  0.231244
2021-09-15 03:41:39.724962 : Epoch  3, Batch    206, Loss  0.608638, Average Loss  0.614881, Time  0.238485
2021-09-15 03:41:40.441205 : Epoch  1, Batch    964, Loss  0.855119, Average Loss  0.878304, Time  0.264988
2021-09-15 03:41:40.671195 : Epoch  4, Batch    315, Loss  0.620148, Average Loss  0.611687, Time  0.231296
2021-09-15 03:41:41.281489 : Epoch  3, Batch    207, Loss  0.622151, Average Loss  0.614871, Time  0.242357
2021-09-15 03:41:42.207976 : Epoch  4, Batch    316, Loss  0.615196, Average Loss  0.611659, Time  0.231957
2021-09-15 03:41:42.817387 : Epoch  3, Batch    208, Loss  0.625443, Average Loss  0.614932, Time  0.241817
2021-09-15 03:41:43.458902 : Epoch  1, Batch    965, Loss  0.893654, Average Loss  0.878453, Time  0.264944
2021-09-15 03:41:43.778588 : Epoch  4, Batch    317, Loss  0.623583, Average Loss  0.611691, Time  0.231677
2021-09-15 03:41:44.344845 : Epoch  3, Batch    209, Loss  0.612046, Average Loss  0.614910, Time  0.239572
2021-09-15 03:41:45.327434 : Epoch  4, Batch    318, Loss  0.615158, Average Loss  0.611745, Time  0.231331
2021-09-15 03:41:45.881973 : Epoch  3, Batch    210, Loss  0.610618, Average Loss  0.614906, Time  0.239869
2021-09-15 03:41:46.486765 : Epoch  1, Batch    966, Loss  0.891661, Average Loss  0.878466, Time  0.266110
2021-09-15 03:41:46.891241 : Epoch  4, Batch    319, Loss  0.605944, Average Loss  0.611714, Time  0.231304
2021-09-15 03:41:47.419536 : Epoch  3, Batch    211, Loss  0.611236, Average Loss  0.614912, Time  0.242202
2021-09-15 03:41:48.430932 : Epoch  4, Batch    320, Loss  0.614382, Average Loss  0.611725, Time  0.231371
2021-09-15 03:41:49.105915 : Epoch  3, Batch    212, Loss  0.605652, Average Loss  0.614888, Time  0.257466
2021-09-15 03:41:49.533042 : Epoch  1, Batch    967, Loss  0.869915, Average Loss  0.878360, Time  0.264894
2021-09-15 03:41:49.979929 : Epoch  4, Batch    321, Loss  0.607935, Average Loss  0.611688, Time  0.231092
2021-09-15 03:41:50.780408 : Epoch  3, Batch    213, Loss  0.603039, Average Loss  0.614829, Time  0.260189
2021-09-15 03:41:51.518987 : Epoch  4, Batch    322, Loss  0.605533, Average Loss  0.611594, Time  0.231198
2021-09-15 03:41:52.483906 : Epoch  3, Batch    214, Loss  0.613567, Average Loss  0.614837, Time  0.262805
2021-09-15 03:41:52.560814 : Epoch  1, Batch    968, Loss  0.876742, Average Loss  0.878303, Time  0.264947
2021-09-15 03:41:53.059898 : Epoch  4, Batch    323, Loss  0.606841, Average Loss  0.611554, Time  0.231462
2021-09-15 03:41:54.165127 : Epoch  3, Batch    215, Loss  0.616037, Average Loss  0.614869, Time  0.259704
2021-09-15 03:41:54.597223 : Epoch  4, Batch    324, Loss  0.603994, Average Loss  0.611565, Time  0.232082
2021-09-15 03:41:55.585846 : Epoch  1, Batch    969, Loss  0.865082, Average Loss  0.878267, Time  0.265689
2021-09-15 03:41:55.710333 : Epoch  3, Batch    216, Loss  0.622590, Average Loss  0.614940, Time  0.256710
2021-09-15 03:41:56.145010 : Epoch  4, Batch    325, Loss  0.625074, Average Loss  0.611682, Time  0.231574
2021-09-15 03:41:57.250043 : Epoch  3, Batch    217, Loss  0.625947, Average Loss  0.614966, Time  0.238834
2021-09-15 03:41:57.691411 : Epoch  4, Batch    326, Loss  0.617787, Average Loss  0.611683, Time  0.232204
2021-09-15 03:41:58.629526 : Epoch  1, Batch    970, Loss  0.897308, Average Loss  0.878406, Time  0.277057
2021-09-15 03:41:58.784347 : Epoch  3, Batch    218, Loss  0.620440, Average Loss  0.614996, Time  0.239434
2021-09-15 03:41:59.230370 : Epoch  4, Batch    327, Loss  0.613445, Average Loss  0.611693, Time  0.232521
2021-09-15 03:42:00.300090 : Epoch  3, Batch    219, Loss  0.621358, Average Loss  0.614953, Time  0.236121
2021-09-15 03:42:00.767622 : Epoch  4, Batch    328, Loss  0.617276, Average Loss  0.611820, Time  0.231338
2021-09-15 03:42:01.622789 : Epoch  1, Batch    971, Loss  0.867685, Average Loss  0.878335, Time  0.265318
2021-09-15 03:42:01.834559 : Epoch  3, Batch    220, Loss  0.613260, Average Loss  0.614945, Time  0.239022
2021-09-15 03:42:02.313398 : Epoch  4, Batch    329, Loss  0.607392, Average Loss  0.611769, Time  0.231192
2021-09-15 03:42:03.429932 : Epoch  3, Batch    221, Loss  0.611508, Average Loss  0.614928, Time  0.242345
2021-09-15 03:42:03.851245 : Epoch  4, Batch    330, Loss  0.612542, Average Loss  0.611761, Time  0.231455
2021-09-15 03:42:04.609065 : Epoch  1, Batch    972, Loss  0.853364, Average Loss  0.878283, Time  0.265845
2021-09-15 03:42:04.982795 : Epoch  3, Batch    222, Loss  0.618418, Average Loss  0.614945, Time  0.242831
2021-09-15 03:42:05.391833 : Epoch  4, Batch    331, Loss  0.610987, Average Loss  0.611796, Time  0.232058
2021-09-15 03:42:06.540863 : Epoch  3, Batch    223, Loss  0.609642, Average Loss  0.614899, Time  0.241832
2021-09-15 03:42:06.922422 : Epoch  4, Batch    332, Loss  0.625241, Average Loss  0.611880, Time  0.230958
2021-09-15 03:42:07.605462 : Epoch  1, Batch    973, Loss  0.890356, Average Loss  0.878407, Time  0.264643
2021-09-15 03:42:08.108118 : Epoch  3, Batch    224, Loss  0.614597, Average Loss  0.614823, Time  0.276835
2021-09-15 03:42:08.466935 : Epoch  4, Batch    333, Loss  0.616424, Average Loss  0.611889, Time  0.231498
2021-09-15 03:42:09.655888 : Epoch  3, Batch    225, Loss  0.621640, Average Loss  0.614758, Time  0.241560
2021-09-15 03:42:10.011100 : Epoch  4, Batch    334, Loss  0.620244, Average Loss  0.611944, Time  0.231402
2021-09-15 03:42:10.613901 : Epoch  1, Batch    974, Loss  0.905992, Average Loss  0.878505, Time  0.265983
2021-09-15 03:42:11.180149 : Epoch  3, Batch    226, Loss  0.614407, Average Loss  0.614777, Time  0.241954
2021-09-15 03:42:11.545383 : Epoch  4, Batch    335, Loss  0.613340, Average Loss  0.612003, Time  0.232158
2021-09-15 03:42:13.083545 : Epoch  4, Batch    336, Loss  0.612974, Average Loss  0.612043, Time  0.231183
2021-09-15 03:42:13.646819 : Epoch  1, Batch    975, Loss  0.892687, Average Loss  0.878676, Time  0.265047
2021-09-15 03:42:14.614352 : Epoch  4, Batch    337, Loss  0.598105, Average Loss  0.611971, Time  0.231336
2021-09-15 03:42:16.178404 : Epoch  4, Batch    338, Loss  0.607834, Average Loss  0.611924, Time  0.231764
2021-09-15 03:42:16.684984 : Epoch  1, Batch    976, Loss  0.892767, Average Loss  0.878730, Time  0.264718
2021-09-15 03:42:17.726365 : Epoch  4, Batch    339, Loss  0.613962, Average Loss  0.611933, Time  0.232201
2021-09-15 03:42:19.674764 : Epoch  1, Batch    977, Loss  0.875822, Average Loss  0.878729, Time  0.264757
2021-09-15 03:42:22.702877 : Epoch  1, Batch    978, Loss  0.876675, Average Loss  0.878730, Time  0.264447
2021-09-15 03:42:25.695910 : Epoch  1, Batch    979, Loss  0.864048, Average Loss  0.878600, Time  0.264198
2021-09-15 03:42:28.699348 : Epoch  1, Batch    980, Loss  0.873721, Average Loss  0.878497, Time  0.265534
2021-09-15 03:42:31.732300 : Epoch  1, Batch    981, Loss  0.837090, Average Loss  0.878400, Time  0.265369
2021-09-15 03:42:34.756482 : Epoch  1, Batch    982, Loss  0.854429, Average Loss  0.878288, Time  0.266558
2021-09-15 03:42:37.814573 : Epoch  1, Batch    983, Loss  0.879045, Average Loss  0.878311, Time  0.265409
2021-09-15 03:42:40.807319 : Epoch  1, Batch    984, Loss  0.870534, Average Loss  0.878272, Time  0.264529
2021-09-15 03:42:43.858687 : Epoch  1, Batch    985, Loss  0.890069, Average Loss  0.878406, Time  0.279727
2021-09-15 03:42:46.879631 : Epoch  1, Batch    986, Loss  0.877949, Average Loss  0.878308, Time  0.265750
2021-09-15 03:42:49.886787 : Epoch  1, Batch    987, Loss  0.888094, Average Loss  0.878340, Time  0.265505
2021-09-15 03:42:52.926544 : Epoch  1, Batch    988, Loss  0.887838, Average Loss  0.878421, Time  0.266424
2021-09-15 03:42:55.919441 : Epoch  1, Batch    989, Loss  0.859343, Average Loss  0.878310, Time  0.265449
2021-09-15 03:42:58.932734 : Epoch  1, Batch    990, Loss  0.880524, Average Loss  0.878322, Time  0.265188
2021-09-15 03:43:01.983690 : Epoch  1, Batch    991, Loss  0.894788, Average Loss  0.878320, Time  0.266843
2021-09-15 03:43:04.992313 : Epoch  1, Batch    992, Loss  0.889199, Average Loss  0.878378, Time  0.265332
2021-09-15 03:43:08.009858 : CheckPoint: Validation Loss  0.00025980, Best Loss  0.00025447
 Time  0.265562
2021-09-15 03:43:09.604687 : Epoch  3, Batch    227, Loss  0.621151, Average Loss  0.614747, Time  0.269195
2021-09-15 03:43:11.044036 : Epoch  1, Batch    994, Loss  0.832997, Average Loss  0.878478, Time  0.264967
2021-09-15 03:43:11.148165 : Epoch  3, Batch    228, Loss  0.600025, Average Loss  0.614653, Time  0.249583
2021-09-15 03:43:12.696924 : Epoch  3, Batch    229, Loss  0.611748, Average Loss  0.614642, Time  0.239307
2021-09-15 03:43:14.027478 : Epoch  1, Batch    995, Loss  0.883704, Average Loss  0.878509, Time  0.265007
2021-09-15 03:43:14.230100 : Epoch  3, Batch    230, Loss  0.605018, Average Loss  0.614591, Time  0.239413
2021-09-15 03:43:15.761361 : CheckPoint: Validation Loss  0.00025501, Best Loss  0.00024882
2021-09-15 03:43:15.791152 : Epoch  3, Batch    231, Loss  0.622352, Average Loss  0.614612, Time  0.240072
2021-09-15 03:43:17.023284 : Epoch  1, Batch    996, Loss  0.879380, Average Loss  0.878440, Time  0.264594
2021-09-15 03:43:17.330889 : Epoch  3, Batch    232, Loss  0.620435, Average Loss  0.614648, Time  0.241862
2021-09-15 03:43:17.360282 : Epoch  4, Batch    340, Loss  0.602571, Average Loss  0.611875, Time  0.234898
2021-09-15 03:43:18.847252 : Epoch  3, Batch    233, Loss  0.608961, Average Loss  0.614625, Time  0.237661
2021-09-15 03:43:18.930231 : Epoch  4, Batch    341, Loss  0.606435, Average Loss  0.611801, Time  0.232671
2021-09-15 03:43:20.019435 : Epoch  1, Batch    997, Loss  0.886791, Average Loss  0.878455, Time  0.264660
2021-09-15 03:43:20.379830 : Epoch  3, Batch    234, Loss  0.609041, Average Loss  0.614675, Time  0.236593
2021-09-15 03:43:20.480947 : Epoch  4, Batch    342, Loss  0.612697, Average Loss  0.611791, Time  0.231258
2021-09-15 03:43:21.917389 : Epoch  3, Batch    235, Loss  0.617157, Average Loss  0.614708, Time  0.241702
2021-09-15 03:43:22.028073 : Epoch  4, Batch    343, Loss  0.610883, Average Loss  0.611769, Time  0.231642
2021-09-15 03:43:23.024085 : Epoch  1, Batch    998, Loss  0.875663, Average Loss  0.878344, Time  0.265328
2021-09-15 03:43:23.452034 : Epoch  3, Batch    236, Loss  0.612896, Average Loss  0.614646, Time  0.240690
2021-09-15 03:43:23.573865 : Epoch  4, Batch    344, Loss  0.603017, Average Loss  0.611801, Time  0.233413
2021-09-15 03:43:24.983873 : Epoch  3, Batch    237, Loss  0.607593, Average Loss  0.614582, Time  0.241496
2021-09-15 03:43:25.110384 : Epoch  4, Batch    345, Loss  0.610863, Average Loss  0.611779, Time  0.231778
2021-09-15 03:43:26.034699 : Epoch  1, Batch    999, Loss  0.876467, Average Loss  0.878331, Time  0.265649
2021-09-15 03:43:26.521435 : Epoch  3, Batch    238, Loss  0.616824, Average Loss  0.614567, Time  0.241635
2021-09-15 03:43:26.651281 : Epoch  4, Batch    346, Loss  0.604274, Average Loss  0.611764, Time  0.231408
2021-09-15 03:43:28.042346 : Epoch  3, Batch    239, Loss  0.623987, Average Loss  0.614613, Time  0.237978
2021-09-15 03:43:28.194656 : Epoch  4, Batch    347, Loss  0.611957, Average Loss  0.611722, Time  0.231403
2021-09-15 03:43:29.573381 : Epoch  3, Batch    240, Loss  0.599490, Average Loss  0.614522, Time  0.241085
2021-09-15 03:43:29.731271 : Epoch  4, Batch    348, Loss  0.610180, Average Loss  0.611649, Time  0.231444
2021-09-15 03:43:31.114941 : Epoch  3, Batch    241, Loss  0.612593, Average Loss  0.614517, Time  0.240509
2021-09-15 03:43:31.269934 : Epoch  4, Batch    349, Loss  0.620611, Average Loss  0.611763, Time  0.231355
2021-09-15 03:43:32.637951 : Epoch  3, Batch    242, Loss  0.626613, Average Loss  0.614610, Time  0.241585
2021-09-15 03:43:32.803032 : Epoch  4, Batch    350, Loss  0.607392, Average Loss  0.611776, Time  0.231299
2021-09-15 03:43:34.170791 : Epoch  3, Batch    243, Loss  0.618267, Average Loss  0.614602, Time  0.239359
2021-09-15 03:43:34.339935 : Epoch  4, Batch    351, Loss  0.607893, Average Loss  0.611755, Time  0.231526
2021-09-15 03:43:35.705400 : Epoch  3, Batch    244, Loss  0.638547, Average Loss  0.614718, Time  0.239234
2021-09-15 03:43:35.881904 : Epoch  4, Batch    352, Loss  0.613406, Average Loss  0.611812, Time  0.231336
2021-09-15 03:43:37.091204 : Epoch  1, Batch   1000, Loss  0.877470, Average Loss  0.878344, Time  0.275382
2021-09-15 03:43:37.228858 : Epoch  3, Batch    245, Loss  0.613050, Average Loss  0.614746, Time  0.240170
2021-09-15 03:43:37.420107 : Epoch  4, Batch    353, Loss  0.614290, Average Loss  0.611834, Time  0.233856
2021-09-15 03:43:38.770403 : Epoch  3, Batch    246, Loss  0.619464, Average Loss  0.614809, Time  0.240110
2021-09-15 03:43:38.960946 : Epoch  4, Batch    354, Loss  0.611372, Average Loss  0.611852, Time  0.231348
2021-09-15 03:43:40.300019 : Epoch  3, Batch    247, Loss  0.606052, Average Loss  0.614740, Time  0.237783
2021-09-15 03:43:40.500964 : Epoch  4, Batch    355, Loss  0.606985, Average Loss  0.611812, Time  0.233451
2021-09-15 03:43:41.820178 : Epoch  3, Batch    248, Loss  0.628032, Average Loss  0.614854, Time  0.239353
2021-09-15 03:43:42.042964 : Epoch  4, Batch    356, Loss  0.613236, Average Loss  0.611762, Time  0.231239
2021-09-15 03:43:43.345348 : Epoch  3, Batch    249, Loss  0.617876, Average Loss  0.614887, Time  0.239800
2021-09-15 03:43:43.586446 : Epoch  4, Batch    357, Loss  0.603387, Average Loss  0.611689, Time  0.231913
2021-09-15 03:43:44.877766 : Epoch  3, Batch    250, Loss  0.619330, Average Loss  0.614922, Time  0.238559
2021-09-15 03:43:45.118943 : Epoch  4, Batch    358, Loss  0.617738, Average Loss  0.611782, Time  0.231519
2021-09-15 03:43:46.417832 : Epoch  3, Batch    251, Loss  0.617217, Average Loss  0.614952, Time  0.241498
2021-09-15 03:43:46.656830 : Epoch  4, Batch    359, Loss  0.614219, Average Loss  0.611814, Time  0.232321
2021-09-15 03:43:47.952341 : Epoch  3, Batch    252, Loss  0.606896, Average Loss  0.614866, Time  0.240613
2021-09-15 03:43:48.205405 : Epoch  4, Batch    360, Loss  0.613892, Average Loss  0.611787, Time  0.231348
2021-09-15 03:43:49.475048 : Epoch  3, Batch    253, Loss  0.617769, Average Loss  0.614912, Time  0.238314
2021-09-15 03:43:49.741659 : Epoch  4, Batch    361, Loss  0.608809, Average Loss  0.611742, Time  0.231347
2021-09-15 03:43:51.008055 : Epoch  3, Batch    254, Loss  0.618982, Average Loss  0.614903, Time  0.240547
2021-09-15 03:43:51.283634 : Epoch  4, Batch    362, Loss  0.620658, Average Loss  0.611797, Time  0.231462
2021-09-15 03:43:52.539045 : Epoch  3, Batch    255, Loss  0.615382, Average Loss  0.614897, Time  0.239768
2021-09-15 03:43:52.826677 : Epoch  4, Batch    363, Loss  0.614162, Average Loss  0.611897, Time  0.231007
2021-09-15 03:43:54.062939 : Epoch  3, Batch    256, Loss  0.616063, Average Loss  0.614865, Time  0.238966
2021-09-15 03:43:54.365683 : Epoch  4, Batch    364, Loss  0.615201, Average Loss  0.611936, Time  0.231168
2021-09-15 03:43:55.736759 : Epoch  3, Batch    257, Loss  0.613311, Average Loss  0.614860, Time  0.257702
2021-09-15 03:43:55.898804 : Epoch  4, Batch    365, Loss  0.612150, Average Loss  0.611949, Time  0.231756
2021-09-15 03:43:57.436866 : Epoch  4, Batch    366, Loss  0.612643, Average Loss  0.611946, Time  0.231042
2021-09-15 03:43:57.474193 : Epoch  3, Batch    258, Loss  0.611596, Average Loss  0.614863, Time  0.261485
2021-09-15 03:43:58.976137 : Epoch  4, Batch    367, Loss  0.610829, Average Loss  0.611951, Time  0.230955
2021-09-15 03:43:59.164904 : Epoch  3, Batch    259, Loss  0.606712, Average Loss  0.614874, Time  0.257448
2021-09-15 03:44:00.512256 : Epoch  4, Batch    368, Loss  0.605701, Average Loss  0.611923, Time  0.231279
2021-09-15 03:44:00.784371 : Epoch  3, Batch    260, Loss  0.609409, Average Loss  0.614818, Time  0.240650
2021-09-15 03:44:02.061035 : Epoch  4, Batch    369, Loss  0.603165, Average Loss  0.611860, Time  0.231288
2021-09-15 03:44:02.309085 : Epoch  3, Batch    261, Loss  0.626627, Average Loss  0.614856, Time  0.241659
2021-09-15 03:44:03.608713 : Epoch  4, Batch    370, Loss  0.604598, Average Loss  0.611849, Time  0.231263
2021-09-15 03:44:03.849055 : Epoch  3, Batch    262, Loss  0.610178, Average Loss  0.614820, Time  0.240510
2021-09-15 03:44:05.155070 : Epoch  4, Batch    371, Loss  0.610060, Average Loss  0.611812, Time  0.231441
2021-09-15 03:44:05.376959 : Epoch  3, Batch    263, Loss  0.620808, Average Loss  0.614764, Time  0.240592
2021-09-15 03:44:06.702038 : Epoch  4, Batch    372, Loss  0.598844, Average Loss  0.611780, Time  0.231272
2021-09-15 03:44:06.894093 : Epoch  3, Batch    264, Loss  0.606386, Average Loss  0.614714, Time  0.238540
2021-09-15 03:44:08.258843 : Epoch  4, Batch    373, Loss  0.606797, Average Loss  0.611772, Time  0.230967
2021-09-15 03:44:08.435111 : Epoch  3, Batch    265, Loss  0.608010, Average Loss  0.614707, Time  0.240695
2021-09-15 03:44:09.813870 : Epoch  4, Batch    374, Loss  0.606074, Average Loss  0.611772, Time  0.231482
2021-09-15 03:44:09.984091 : Epoch  3, Batch    266, Loss  0.615669, Average Loss  0.614750, Time  0.244464
2021-09-15 03:44:11.352408 : Epoch  4, Batch    375, Loss  0.611146, Average Loss  0.611751, Time  0.232899
2021-09-15 03:44:11.513076 : Epoch  3, Batch    267, Loss  0.614865, Average Loss  0.614769, Time  0.239937
2021-09-15 03:44:12.909813 : Epoch  4, Batch    376, Loss  0.602094, Average Loss  0.611656, Time  0.231648
2021-09-15 03:44:13.035982 : Epoch  3, Batch    268, Loss  0.611145, Average Loss  0.614746, Time  0.240437
2021-09-15 03:44:14.460024 : Epoch  4, Batch    377, Loss  0.609972, Average Loss  0.611635, Time  0.231578
2021-09-15 03:44:14.579244 : Epoch  3, Batch    269, Loss  0.607772, Average Loss  0.614663, Time  0.240878
2021-09-15 03:44:16.007198 : Epoch  4, Batch    378, Loss  0.608469, Average Loss  0.611645, Time  0.231153
2021-09-15 03:44:16.117515 : Epoch  3, Batch    270, Loss  0.606399, Average Loss  0.614598, Time  0.240628
2021-09-15 03:44:17.548429 : Epoch  4, Batch    379, Loss  0.607980, Average Loss  0.611652, Time  0.231390
2021-09-15 03:44:17.797115 : Epoch  3, Batch    271, Loss  0.618496, Average Loss  0.614641, Time  0.256980
2021-09-15 03:44:19.095001 : Epoch  4, Batch    380, Loss  0.608892, Average Loss  0.611650, Time  0.230904
2021-09-15 03:44:19.320483 : Epoch  3, Batch    272, Loss  0.616584, Average Loss  0.614625, Time  0.238341
2021-09-15 03:44:20.658192 : Epoch  4, Batch    381, Loss  0.608653, Average Loss  0.611674, Time  0.231339
2021-09-15 03:44:20.857612 : Epoch  3, Batch    273, Loss  0.613754, Average Loss  0.614609, Time  0.240171
2021-09-15 03:44:22.203576 : Epoch  4, Batch    382, Loss  0.612636, Average Loss  0.611692, Time  0.231442
2021-09-15 03:44:22.400052 : Epoch  3, Batch    274, Loss  0.611243, Average Loss  0.614651, Time  0.237647
2021-09-15 03:44:23.748233 : Epoch  4, Batch    383, Loss  0.614353, Average Loss  0.611824, Time  0.231413
2021-09-15 03:44:23.931381 : Epoch  3, Batch    275, Loss  0.620850, Average Loss  0.614689, Time  0.240293
2021-09-15 03:44:25.291873 : Epoch  4, Batch    384, Loss  0.611598, Average Loss  0.611765, Time  0.231250
2021-09-15 03:44:25.473884 : Epoch  3, Batch    276, Loss  0.616012, Average Loss  0.614676, Time  0.242902
2021-09-15 03:44:26.833555 : Epoch  4, Batch    385, Loss  0.610955, Average Loss  0.611779, Time  0.230858
2021-09-15 03:44:27.024806 : Epoch  3, Batch    277, Loss  0.616569, Average Loss  0.614690, Time  0.240345
2021-09-15 03:44:28.377931 : Epoch  4, Batch    386, Loss  0.605526, Average Loss  0.611784, Time  0.231205
2021-09-15 03:44:28.543904 : Epoch  3, Batch    278, Loss  0.615107, Average Loss  0.614717, Time  0.238518
2021-09-15 03:44:29.926871 : Epoch  4, Batch    387, Loss  0.608510, Average Loss  0.611779, Time  0.231790
2021-09-15 03:44:30.072595 : Epoch  3, Batch    279, Loss  0.619865, Average Loss  0.614817, Time  0.237713
2021-09-15 03:44:31.471995 : Epoch  4, Batch    388, Loss  0.605779, Average Loss  0.611720, Time  0.231446
2021-09-15 03:44:31.769089 : Epoch  3, Batch    280, Loss  0.623134, Average Loss  0.614883, Time  0.261750
2021-09-15 03:44:33.023170 : Epoch  4, Batch    389, Loss  0.616650, Average Loss  0.611754, Time  0.233386
2021-09-15 03:44:33.302997 : Epoch  3, Batch    281, Loss  0.625329, Average Loss  0.615007, Time  0.241587
2021-09-15 03:44:34.583103 : Epoch  4, Batch    390, Loss  0.595221, Average Loss  0.611647, Time  0.231138
2021-09-15 03:44:34.978832 : Epoch  3, Batch    282, Loss  0.614464, Average Loss  0.615009, Time  0.257742
2021-09-15 03:44:36.119555 : Epoch  4, Batch    391, Loss  0.619361, Average Loss  0.611634, Time  0.231125
2021-09-15 03:44:36.679025 : Epoch  3, Batch    283, Loss  0.609148, Average Loss  0.614977, Time  0.261282
2021-09-15 03:44:37.672936 : Epoch  4, Batch    392, Loss  0.610777, Average Loss  0.611627, Time  0.231811
2021-09-15 03:44:38.275740 : Epoch  3, Batch    284, Loss  0.613676, Average Loss  0.614979, Time  0.238915
2021-09-15 03:44:39.216114 : Epoch  4, Batch    393, Loss  0.613421, Average Loss  0.611646, Time  0.231385
2021-09-15 03:44:39.934780 : Epoch  3, Batch    285, Loss  0.608452, Average Loss  0.614949, Time  0.257700
2021-09-15 03:44:40.756088 : Epoch  4, Batch    394, Loss  0.615996, Average Loss  0.611639, Time  0.231449
2021-09-15 03:44:41.583859 : Epoch  3, Batch    286, Loss  0.607602, Average Loss  0.614918, Time  0.259134
2021-09-15 03:44:42.295774 : Epoch  4, Batch    395, Loss  0.620260, Average Loss  0.611609, Time  0.231338
2021-09-15 03:44:43.285039 : Epoch  3, Batch    287, Loss  0.621041, Average Loss  0.614972, Time  0.258063
2021-09-15 03:44:43.839006 : Epoch  4, Batch    396, Loss  0.598811, Average Loss  0.611532, Time  0.231250
2021-09-15 03:44:44.895016 : Epoch  3, Batch    288, Loss  0.603280, Average Loss  0.614920, Time  0.240154
2021-09-15 03:44:45.378195 : Epoch  4, Batch    397, Loss  0.612498, Average Loss  0.611601, Time  0.231386
2021-09-15 03:44:46.428770 : Epoch  3, Batch    289, Loss  0.604702, Average Loss  0.614869, Time  0.239554
2021-09-15 03:44:46.914826 : Epoch  4, Batch    398, Loss  0.616309, Average Loss  0.611650, Time  0.231246
2021-09-15 03:44:47.968923 : Epoch  3, Batch    290, Loss  0.612800, Average Loss  0.614851, Time  0.241448
2021-09-15 03:44:48.470380 : Epoch  4, Batch    399, Loss  0.615923, Average Loss  0.611682, Time  0.231121
2021-09-15 03:44:49.661188 : Epoch  3, Batch    291, Loss  0.601436, Average Loss  0.614794, Time  0.259778
2021-09-15 03:44:50.003652 : Epoch  4, Batch    400, Loss  0.620273, Average Loss  0.611755, Time  0.232512
2021-09-15 03:44:51.223103 : Epoch  3, Batch    292, Loss  0.620830, Average Loss  0.614827, Time  0.240113
2021-09-15 03:44:51.541040 : Epoch  4, Batch    401, Loss  0.616068, Average Loss  0.611777, Time  0.231351
2021-09-15 03:44:52.766559 : Epoch  3, Batch    293, Loss  0.617854, Average Loss  0.614881, Time  0.240165
2021-09-15 03:44:53.084855 : Epoch  4, Batch    402, Loss  0.600560, Average Loss  0.611749, Time  0.232388
2021-09-15 03:44:54.316926 : Epoch  3, Batch    294, Loss  0.615137, Average Loss  0.614893, Time  0.239627
2021-09-15 03:44:54.612493 : Epoch  4, Batch    403, Loss  0.608625, Average Loss  0.611710, Time  0.231627
2021-09-15 03:44:55.874354 : Epoch  3, Batch    295, Loss  0.611759, Average Loss  0.614897, Time  0.241285
2021-09-15 03:44:56.148536 : Epoch  4, Batch    404, Loss  0.626530, Average Loss  0.611740, Time  0.231673
2021-09-15 03:44:57.422183 : Epoch  3, Batch    296, Loss  0.619329, Average Loss  0.614964, Time  0.241100
2021-09-15 03:44:57.694301 : Epoch  4, Batch    405, Loss  0.616175, Average Loss  0.611725, Time  0.232265
2021-09-15 03:44:59.238025 : Epoch  4, Batch    406, Loss  0.606139, Average Loss  0.611764, Time  0.231612
2021-09-15 03:45:00.795363 : Epoch  4, Batch    407, Loss  0.610617, Average Loss  0.611780, Time  0.231246
2021-09-15 03:45:01.607990 : Epoch  3, Batch    297, Loss  0.617923, Average Loss  0.615012, Time  0.273305
2021-09-15 03:45:02.349795 : Epoch  4, Batch    408, Loss  0.607154, Average Loss  0.611738, Time  0.232219
2021-09-15 03:45:03.284852 : Epoch  3, Batch    298, Loss  0.603894, Average Loss  0.614960, Time  0.263901
2021-09-15 03:45:03.895323 : Epoch  4, Batch    409, Loss  0.608056, Average Loss  0.611782, Time  0.231756
2021-09-15 03:45:04.964811 : Epoch  3, Batch    299, Loss  0.609035, Average Loss  0.614952, Time  0.265688
2021-09-15 03:45:06.510864 : Epoch  3, Batch    300, Loss  0.622668, Average Loss  0.615019, Time  0.239329
2021-09-15 03:45:07.833057 : Epoch  4, Batch    410, Loss  0.605703, Average Loss  0.611775, Time  0.271409
2021-09-15 03:45:08.032944 : Epoch  3, Batch    301, Loss  0.610131, Average Loss  0.614918, Time  0.238081
2021-09-15 03:45:09.388601 : Epoch  4, Batch    411, Loss  0.615522, Average Loss  0.611786, Time  0.249101
2021-09-15 03:45:09.542606 : Epoch  3, Batch    302, Loss  0.610783, Average Loss  0.614936, Time  0.240131
2021-09-15 03:45:10.935590 : Epoch  4, Batch    412, Loss  0.622374, Average Loss  0.611856, Time  0.231246
2021-09-15 03:45:11.083839 : Epoch  3, Batch    303, Loss  0.599474, Average Loss  0.614839, Time  0.240504
2021-09-15 03:45:12.473421 : Epoch  4, Batch    413, Loss  0.606753, Average Loss  0.611827, Time  0.231974
2021-09-15 03:45:12.612019 : Epoch  3, Batch    304, Loss  0.612601, Average Loss  0.614835, Time  0.239479
2021-09-15 03:45:14.009807 : Epoch  4, Batch    414, Loss  0.611865, Average Loss  0.611769, Time  0.231811
2021-09-15 03:45:14.129904 : Epoch  3, Batch    305, Loss  0.623810, Average Loss  0.614828, Time  0.240340
2021-09-15 03:45:15.550082 : Epoch  4, Batch    415, Loss  0.615537, Average Loss  0.611817, Time  0.231045
2021-09-15 03:45:15.658392 : Epoch  3, Batch    306, Loss  0.614595, Average Loss  0.614757, Time  0.240940
2021-09-15 03:45:17.100383 : Epoch  4, Batch    416, Loss  0.608549, Average Loss  0.611792, Time  0.231596
2021-09-15 03:45:17.198017 : Epoch  3, Batch    307, Loss  0.620083, Average Loss  0.614787, Time  0.257090
2021-09-15 03:45:18.651063 : Epoch  4, Batch    417, Loss  0.607893, Average Loss  0.611812, Time  0.230998
2021-09-15 03:45:18.898513 : Epoch  3, Batch    308, Loss  0.613026, Average Loss  0.614773, Time  0.261239
2021-09-15 03:45:20.188805 : Epoch  4, Batch    418, Loss  0.608632, Average Loss  0.611788, Time  0.231781
2021-09-15 03:45:20.484080 : Epoch  3, Batch    309, Loss  0.613576, Average Loss  0.614743, Time  0.240813
2021-09-15 03:45:21.721334 : Epoch  4, Batch    419, Loss  0.607284, Average Loss  0.611794, Time  0.230969
2021-09-15 03:45:22.006369 : Epoch  3, Batch    310, Loss  0.619039, Average Loss  0.614797, Time  0.240377
2021-09-15 03:45:23.252818 : Epoch  4, Batch    420, Loss  0.607197, Average Loss  0.611742, Time  0.231732
2021-09-15 03:45:23.550984 : Epoch  3, Batch    311, Loss  0.619180, Average Loss  0.614813, Time  0.250112
2021-09-15 03:45:24.844243 : Epoch  4, Batch    421, Loss  0.611768, Average Loss  0.611700, Time  0.231359
2021-09-15 03:45:25.070717 : Epoch  3, Batch    312, Loss  0.615975, Average Loss  0.614867, Time  0.239559
2021-09-15 03:45:26.379885 : Epoch  4, Batch    422, Loss  0.608087, Average Loss  0.611715, Time  0.232032
2021-09-15 03:45:26.589765 : Epoch  3, Batch    313, Loss  0.617968, Average Loss  0.614861, Time  0.238853
2021-09-15 03:45:27.934668 : Epoch  4, Batch    423, Loss  0.609450, Average Loss  0.611703, Time  0.232596
2021-09-15 03:45:28.094789 : Epoch  3, Batch    314, Loss  0.624205, Average Loss  0.614934, Time  0.236026
2021-09-15 03:45:29.477854 : Epoch  4, Batch    424, Loss  0.603012, Average Loss  0.611671, Time  0.231452
2021-09-15 03:45:29.666039 : Epoch  3, Batch    315, Loss  0.613812, Average Loss  0.614902, Time  0.240237
2021-09-15 03:45:31.023863 : Epoch  4, Batch    425, Loss  0.621892, Average Loss  0.611726, Time  0.231381
2021-09-15 03:45:31.188790 : Epoch  3, Batch    316, Loss  0.616313, Average Loss  0.614942, Time  0.241203
2021-09-15 03:45:32.558671 : Epoch  4, Batch    426, Loss  0.607956, Average Loss  0.611691, Time  0.231825
2021-09-15 03:45:32.722877 : Epoch  3, Batch    317, Loss  0.620247, Average Loss  0.614907, Time  0.239422
2021-09-15 03:45:34.106299 : Epoch  4, Batch    427, Loss  0.612068, Average Loss  0.611719, Time  0.230688
2021-09-15 03:45:34.243820 : Epoch  3, Batch    318, Loss  0.622167, Average Loss  0.614946, Time  0.239028
2021-09-15 03:45:35.648393 : Epoch  4, Batch    428, Loss  0.614129, Average Loss  0.611728, Time  0.231566
2021-09-15 03:45:35.754902 : Epoch  3, Batch    319, Loss  0.613191, Average Loss  0.614913, Time  0.241062
2021-09-15 03:45:37.195406 : Epoch  4, Batch    429, Loss  0.610092, Average Loss  0.611763, Time  0.231324
2021-09-15 03:45:37.299417 : Epoch  3, Batch    320, Loss  0.608827, Average Loss  0.614900, Time  0.239639
2021-09-15 03:45:38.734112 : Epoch  4, Batch    430, Loss  0.610710, Average Loss  0.611744, Time  0.231386
2021-09-15 03:45:38.816968 : Epoch  3, Batch    321, Loss  0.600221, Average Loss  0.614789, Time  0.241096
2021-09-15 03:45:40.271098 : Epoch  4, Batch    431, Loss  0.613398, Average Loss  0.611722, Time  0.231752
2021-09-15 03:45:40.362197 : Epoch  3, Batch    322, Loss  0.613141, Average Loss  0.614811, Time  0.241493
2021-09-15 03:45:41.811886 : Epoch  4, Batch    432, Loss  0.607669, Average Loss  0.611762, Time  0.232087
2021-09-15 03:45:41.889170 : Epoch  3, Batch    323, Loss  0.628984, Average Loss  0.614853, Time  0.239912
2021-09-15 03:45:43.346054 : Epoch  4, Batch    433, Loss  0.612241, Average Loss  0.611790, Time  0.231559
2021-09-15 03:45:43.432338 : Epoch  3, Batch    324, Loss  0.619356, Average Loss  0.614926, Time  0.238507
2021-09-15 03:45:44.901409 : Epoch  4, Batch    434, Loss  0.610458, Average Loss  0.611815, Time  0.231348
2021-09-15 03:45:44.974835 : Epoch  3, Batch    325, Loss  0.619979, Average Loss  0.615007, Time  0.239299
2021-09-15 03:45:46.436360 : Epoch  4, Batch    435, Loss  0.616941, Average Loss  0.611872, Time  0.232732
2021-09-15 03:45:46.499848 : Epoch  3, Batch    326, Loss  0.613524, Average Loss  0.614997, Time  0.237906
2021-09-15 03:45:47.999926 : Epoch  4, Batch    436, Loss  0.604528, Average Loss  0.611880, Time  0.231611
2021-09-15 03:45:49.536527 : Epoch  4, Batch    437, Loss  0.614268, Average Loss  0.611927, Time  0.231671
2021-09-15 03:45:51.077133 : Epoch  4, Batch    438, Loss  0.609863, Average Loss  0.611879, Time  0.231263
2021-09-15 03:45:52.627979 : Epoch  4, Batch    439, Loss  0.604372, Average Loss  0.611877, Time  0.231722
2021-09-15 03:46:43.637738 : CheckPoint: Validation Loss  0.00025609, Best Loss  0.00025447
2021-09-15 03:46:45.149833 : Epoch  3, Batch    327, Loss  0.613941, Average Loss  0.615039, Time  0.238838
2021-09-15 03:46:46.821973 : Epoch  3, Batch    328, Loss  0.621765, Average Loss  0.615074, Time  0.257921
2021-09-15 03:46:48.496738 : Epoch  3, Batch    329, Loss  0.606623, Average Loss  0.615002, Time  0.260582
2021-09-15 03:46:50.033846 : Epoch  3, Batch    330, Loss  0.607604, Average Loss  0.614980, Time  0.240038
2021-09-15 03:46:50.418731 : CheckPoint: Validation Loss  0.00025896, Best Loss  0.00024882
2021-09-15 03:46:51.560017 : Epoch  3, Batch    331, Loss  0.612322, Average Loss  0.614958, Time  0.240760
2021-09-15 03:46:51.958157 : Epoch  4, Batch    440, Loss  0.601851, Average Loss  0.611862, Time  0.231380
2021-09-15 03:46:53.082932 : Epoch  3, Batch    332, Loss  0.614444, Average Loss  0.614957, Time  0.241111
2021-09-15 03:46:53.496907 : Epoch  4, Batch    441, Loss  0.617518, Average Loss  0.611907, Time  0.231331
2021-09-15 03:46:54.605800 : Epoch  3, Batch    333, Loss  0.621658, Average Loss  0.614994, Time  0.238903
2021-09-15 03:46:55.042879 : Epoch  4, Batch    442, Loss  0.604833, Average Loss  0.611951, Time  0.231850
2021-09-15 03:46:56.144923 : Epoch  3, Batch    334, Loss  0.619948, Average Loss  0.615033, Time  0.239280
2021-09-15 03:46:56.581101 : Epoch  4, Batch    443, Loss  0.603261, Average Loss  0.611941, Time  0.232410
2021-09-15 03:46:57.684019 : Epoch  3, Batch    335, Loss  0.618649, Average Loss  0.615094, Time  0.241496
2021-09-15 03:46:58.111410 : Epoch  4, Batch    444, Loss  0.616391, Average Loss  0.611907, Time  0.231933
2021-09-15 03:46:59.208897 : Epoch  3, Batch    336, Loss  0.616324, Average Loss  0.615111, Time  0.238554
2021-09-15 03:46:59.650922 : Epoch  4, Batch    445, Loss  0.611701, Average Loss  0.612008, Time  0.231437
2021-09-15 03:47:00.731342 : Epoch  3, Batch    337, Loss  0.601728, Average Loss  0.615053, Time  0.238842
2021-09-15 03:47:01.190124 : Epoch  4, Batch    446, Loss  0.611378, Average Loss  0.612004, Time  0.231436
2021-09-15 03:47:02.261120 : Epoch  3, Batch    338, Loss  0.607655, Average Loss  0.615065, Time  0.242150
2021-09-15 03:47:02.729916 : Epoch  4, Batch    447, Loss  0.610767, Average Loss  0.612018, Time  0.231764
2021-09-15 03:47:03.802027 : Epoch  3, Batch    339, Loss  0.615844, Average Loss  0.615064, Time  0.241977
2021-09-15 03:47:04.411542 : Epoch  4, Batch    448, Loss  0.610050, Average Loss  0.612023, Time  0.232128
2021-09-15 03:47:05.319391 : Epoch  3, Batch    340, Loss  0.617652, Average Loss  0.615072, Time  0.238953
2021-09-15 03:47:05.954606 : Epoch  4, Batch    449, Loss  0.613719, Average Loss  0.612042, Time  0.231760
2021-09-15 03:47:06.840819 : Epoch  3, Batch    341, Loss  0.611181, Average Loss  0.615064, Time  0.239707
2021-09-15 03:47:07.497340 : Epoch  4, Batch    450, Loss  0.613347, Average Loss  0.612021, Time  0.232587
2021-09-15 03:47:08.373011 : Epoch  3, Batch    342, Loss  0.608705, Average Loss  0.614989, Time  0.241843
2021-09-15 03:47:09.037570 : Epoch  4, Batch    451, Loss  0.611422, Average Loss  0.611923, Time  0.231515
2021-09-15 03:47:09.908009 : Epoch  3, Batch    343, Loss  0.611291, Average Loss  0.614930, Time  0.239160
2021-09-15 03:47:10.581139 : Epoch  4, Batch    452, Loss  0.609819, Average Loss  0.611922, Time  0.230650
2021-09-15 03:47:11.623044 : Epoch  3, Batch    344, Loss  0.625030, Average Loss  0.614966, Time  0.261982
2021-09-15 03:47:12.121371 : Epoch  4, Batch    453, Loss  0.620091, Average Loss  0.611990, Time  0.230807
2021-09-15 03:47:13.315427 : Epoch  3, Batch    345, Loss  0.626197, Average Loss  0.615019, Time  0.257515
2021-09-15 03:47:13.652910 : Epoch  4, Batch    454, Loss  0.607594, Average Loss  0.611987, Time  0.230796
2021-09-15 03:47:14.861444 : Epoch  3, Batch    346, Loss  0.616122, Average Loss  0.615046, Time  0.239378
2021-09-15 03:47:15.187996 : Epoch  4, Batch    455, Loss  0.608189, Average Loss  0.611952, Time  0.231140
2021-09-15 03:47:16.390992 : Epoch  3, Batch    347, Loss  0.601634, Average Loss  0.614921, Time  0.241823
2021-09-15 03:47:16.719314 : Epoch  4, Batch    456, Loss  0.612835, Average Loss  0.612007, Time  0.231694
2021-09-15 03:47:17.915402 : Epoch  3, Batch    348, Loss  0.619937, Average Loss  0.614932, Time  0.241094
2021-09-15 03:47:18.252839 : Epoch  4, Batch    457, Loss  0.608426, Average Loss  0.612025, Time  0.231241
2021-09-15 03:47:19.451001 : Epoch  3, Batch    349, Loss  0.613679, Average Loss  0.614951, Time  0.242984
2021-09-15 03:47:19.782666 : Epoch  4, Batch    458, Loss  0.614091, Average Loss  0.612015, Time  0.231785
2021-09-15 03:47:20.993921 : Epoch  3, Batch    350, Loss  0.611997, Average Loss  0.614965, Time  0.241831
2021-09-15 03:47:21.319835 : Epoch  4, Batch    459, Loss  0.612808, Average Loss  0.611994, Time  0.231537
2021-09-15 03:47:22.524890 : Epoch  3, Batch    351, Loss  0.612445, Average Loss  0.614944, Time  0.238832
2021-09-15 03:47:22.851116 : Epoch  4, Batch    460, Loss  0.601504, Average Loss  0.611891, Time  0.229962
2021-09-15 03:47:24.064807 : Epoch  3, Batch    352, Loss  0.601519, Average Loss  0.614880, Time  0.241743
2021-09-15 03:47:24.374178 : Epoch  4, Batch    461, Loss  0.611946, Average Loss  0.611903, Time  0.231678
2021-09-15 03:47:25.746527 : Epoch  3, Batch    353, Loss  0.616185, Average Loss  0.614942, Time  0.260760
2021-09-15 03:47:25.894644 : Epoch  4, Batch    462, Loss  0.607568, Average Loss  0.611899, Time  0.230299
2021-09-15 03:47:27.434021 : Epoch  3, Batch    354, Loss  0.606337, Average Loss  0.614911, Time  0.258995
2021-09-15 03:47:27.434284 : Epoch  4, Batch    463, Loss  0.614243, Average Loss  0.612256, Time  0.231010
2021-09-15 03:47:29.007141 : Epoch  3, Batch    355, Loss  0.628664, Average Loss  0.614978, Time  0.239573
2021-09-15 03:47:29.035249 : Epoch  4, Batch    464, Loss  0.614565, Average Loss  0.612249, Time  0.231059
2021-09-15 03:47:30.527919 : Epoch  3, Batch    356, Loss  0.603874, Average Loss  0.614901, Time  0.240261
2021-09-15 03:47:30.579034 : Epoch  4, Batch    465, Loss  0.612010, Average Loss  0.612160, Time  0.231218
2021-09-15 03:47:32.055824 : Epoch  3, Batch    357, Loss  0.611412, Average Loss  0.614906, Time  0.241993
2021-09-15 03:47:32.128220 : Epoch  4, Batch    466, Loss  0.602426, Average Loss  0.612085, Time  0.231718
2021-09-15 03:47:33.587924 : Epoch  3, Batch    358, Loss  0.603045, Average Loss  0.614783, Time  0.241759
2021-09-15 03:47:33.671845 : Epoch  4, Batch    467, Loss  0.602003, Average Loss  0.611936, Time  0.231761
2021-09-15 03:47:35.127025 : Epoch  3, Batch    359, Loss  0.611923, Average Loss  0.614742, Time  0.241466
2021-09-15 03:47:35.222555 : Epoch  4, Batch    468, Loss  0.619468, Average Loss  0.611955, Time  0.231042
2021-09-15 03:47:36.656221 : Epoch  3, Batch    360, Loss  0.612322, Average Loss  0.614718, Time  0.240147
2021-09-15 03:47:36.747191 : Epoch  4, Batch    469, Loss  0.606801, Average Loss  0.611894, Time  0.230712
2021-09-15 03:47:38.179395 : Epoch  3, Batch    361, Loss  0.615251, Average Loss  0.614667, Time  0.239648
2021-09-15 03:47:38.286806 : Epoch  4, Batch    470, Loss  0.601578, Average Loss  0.611745, Time  0.231078
2021-09-15 03:47:39.706794 : Epoch  3, Batch    362, Loss  0.610083, Average Loss  0.614706, Time  0.245955
2021-09-15 03:47:39.834053 : Epoch  4, Batch    471, Loss  0.601557, Average Loss  0.611642, Time  0.232090
2021-09-15 03:47:41.248908 : Epoch  3, Batch    363, Loss  0.612573, Average Loss  0.614727, Time  0.243218
2021-09-15 03:47:41.384138 : Epoch  4, Batch    472, Loss  0.612833, Average Loss  0.611571, Time  0.231166
2021-09-15 03:47:42.776766 : Epoch  3, Batch    364, Loss  0.609940, Average Loss  0.614764, Time  0.241167
2021-09-15 03:47:42.916270 : Epoch  4, Batch    473, Loss  0.596103, Average Loss  0.611449, Time  0.232500
2021-09-15 03:47:44.303396 : Epoch  3, Batch    365, Loss  0.610930, Average Loss  0.614745, Time  0.238890
2021-09-15 03:47:44.450013 : Epoch  4, Batch    474, Loss  0.618205, Average Loss  0.611433, Time  0.231517
2021-09-15 03:47:45.822613 : Epoch  3, Batch    366, Loss  0.611428, Average Loss  0.614710, Time  0.238752
2021-09-15 03:47:45.991384 : Epoch  4, Batch    475, Loss  0.616374, Average Loss  0.611385, Time  0.231364
2021-09-15 03:47:47.359414 : Epoch  3, Batch    367, Loss  0.605812, Average Loss  0.614663, Time  0.239152
2021-09-15 03:47:47.540107 : Epoch  4, Batch    476, Loss  0.610271, Average Loss  0.611387, Time  0.233585
2021-09-15 03:47:49.056189 : Epoch  3, Batch    368, Loss  0.596835, Average Loss  0.614594, Time  0.259639
2021-09-15 03:47:49.090386 : Epoch  4, Batch    477, Loss  0.609418, Average Loss  0.611315, Time  0.231942
2021-09-15 03:47:50.584205 : Epoch  3, Batch    369, Loss  0.607829, Average Loss  0.614522, Time  0.246783
2021-09-15 03:47:50.643392 : Epoch  4, Batch    478, Loss  0.594649, Average Loss  0.611214, Time  0.231623
2021-09-15 03:47:52.109376 : Epoch  3, Batch    370, Loss  0.619708, Average Loss  0.614584, Time  0.238807
2021-09-15 03:47:52.189010 : Epoch  4, Batch    479, Loss  0.591259, Average Loss  0.611132, Time  0.231493
2021-09-15 03:47:53.653167 : Epoch  3, Batch    371, Loss  0.606564, Average Loss  0.614559, Time  0.240076
2021-09-15 03:47:53.737815 : Epoch  4, Batch    480, Loss  0.623724, Average Loss  0.611175, Time  0.231865
2021-09-15 03:47:55.172333 : Epoch  3, Batch    372, Loss  0.600487, Average Loss  0.614459, Time  0.237595
2021-09-15 03:47:55.280379 : Epoch  4, Batch    481, Loss  0.611521, Average Loss  0.611097, Time  0.231542
2021-09-15 03:47:56.696117 : Epoch  3, Batch    373, Loss  0.616583, Average Loss  0.614434, Time  0.238165
2021-09-15 03:47:56.831809 : Epoch  4, Batch    482, Loss  0.618334, Average Loss  0.611097, Time  0.231774
2021-09-15 03:47:58.376672 : Epoch  4, Batch    483, Loss  0.605326, Average Loss  0.611097, Time  0.232042
2021-09-15 03:47:58.411802 : Epoch  3, Batch    374, Loss  0.614962, Average Loss  0.614425, Time  0.261653
2021-09-15 03:47:59.914665 : Epoch  4, Batch    484, Loss  0.605296, Average Loss  0.610999, Time  0.231057
2021-09-15 03:48:00.098483 : Epoch  3, Batch    375, Loss  0.600865, Average Loss  0.614304, Time  0.260046
2021-09-15 03:48:01.466376 : Epoch  4, Batch    485, Loss  0.594693, Average Loss  0.610918, Time  0.231812
2021-09-15 03:48:01.779870 : Epoch  3, Batch    376, Loss  0.625418, Average Loss  0.614384, Time  0.262316
2021-09-15 03:48:03.014656 : Epoch  4, Batch    486, Loss  0.607268, Average Loss  0.610858, Time  0.231318
2021-09-15 03:48:03.449972 : Epoch  3, Batch    377, Loss  0.617021, Average Loss  0.614390, Time  0.260261
2021-09-15 03:48:04.567367 : Epoch  4, Batch    487, Loss  0.613790, Average Loss  0.610866, Time  0.231482
2021-09-15 03:48:05.136929 : Epoch  3, Batch    378, Loss  0.611768, Average Loss  0.614374, Time  0.261155
2021-09-15 03:48:06.111155 : Epoch  4, Batch    488, Loss  0.607764, Average Loss  0.610907, Time  0.231540
2021-09-15 03:48:06.820609 : Epoch  3, Batch    379, Loss  0.613066, Average Loss  0.614364, Time  0.259704
2021-09-15 03:48:07.656132 : Epoch  4, Batch    489, Loss  0.623489, Average Loss  0.611028, Time  0.232187
2021-09-15 03:48:08.352916 : Epoch  3, Batch    380, Loss  0.614768, Average Loss  0.614368, Time  0.241403
2021-09-15 03:48:09.197185 : Epoch  4, Batch    490, Loss  0.616508, Average Loss  0.611003, Time  0.231403
2021-09-15 03:48:09.887939 : Epoch  3, Batch    381, Loss  0.615785, Average Loss  0.614315, Time  0.239303
2021-09-15 03:48:10.747919 : Epoch  4, Batch    491, Loss  0.615610, Average Loss  0.611033, Time  0.232038
2021-09-15 03:48:11.416044 : Epoch  3, Batch    382, Loss  0.623186, Average Loss  0.614391, Time  0.238884
2021-09-15 03:48:12.291879 : Epoch  4, Batch    492, Loss  0.619933, Average Loss  0.611075, Time  0.231416
2021-09-15 03:48:13.086877 : Epoch  3, Batch    383, Loss  0.616818, Average Loss  0.614378, Time  0.256764
2021-09-15 03:48:13.841384 : Epoch  4, Batch    493, Loss  0.603133, Average Loss  0.611029, Time  0.232553
2021-09-15 03:48:14.611334 : Epoch  3, Batch    384, Loss  0.621755, Average Loss  0.614429, Time  0.238998
2021-09-15 03:48:15.394535 : Epoch  4, Batch    494, Loss  0.609919, Average Loss  0.610997, Time  0.232617
2021-09-15 03:48:15.760433 : CheckPoint: Validation Loss  0.00031111, Best Loss  0.00029960
2021-09-15 03:48:16.144057 : Epoch  3, Batch    385, Loss  0.611809, Average Loss  0.614440, Time  0.240161
2021-09-15 03:48:16.953691 : Epoch  4, Batch    495, Loss  0.615113, Average Loss  0.611043, Time  0.231266
2021-09-15 03:48:17.674841 : Epoch  3, Batch    386, Loss  0.614276, Average Loss  0.614431, Time  0.239019
2021-09-15 03:48:18.511413 : Epoch  4, Batch    496, Loss  0.616078, Average Loss  0.611052, Time  0.231277
2021-09-15 03:48:18.745893 : Epoch  1, Batch   1001, Loss  0.885933, Average Loss  0.878267, Time  0.267169
2021-09-15 03:48:19.199142 : Epoch  3, Batch    387, Loss  0.614511, Average Loss  0.614404, Time  0.236900
2021-09-15 03:48:20.051913 : Epoch  4, Batch    497, Loss  0.612720, Average Loss  0.610996, Time  0.231276
2021-09-15 03:48:20.866142 : Epoch  3, Batch    388, Loss  0.610954, Average Loss  0.614398, Time  0.258809
2021-09-15 03:48:21.608153 : Epoch  4, Batch    498, Loss  0.613690, Average Loss  0.611096, Time  0.230976
2021-09-15 03:48:21.757764 : Epoch  1, Batch   1002, Loss  0.883535, Average Loss  0.878281, Time  0.264202
2021-09-15 03:48:22.409846 : Epoch  3, Batch    389, Loss  0.613341, Average Loss  0.614304, Time  0.239697
2021-09-15 03:48:23.158375 : Epoch  4, Batch    499, Loss  0.608025, Average Loss  0.611134, Time  0.231790
2021-09-15 03:48:23.936405 : Epoch  3, Batch    390, Loss  0.616159, Average Loss  0.614329, Time  0.241466
2021-09-15 03:48:24.695417 : Epoch  4, Batch    500, Loss  0.615683, Average Loss  0.611111, Time  0.231667
2021-09-15 03:48:24.756737 : Epoch  1, Batch   1003, Loss  0.866948, Average Loss  0.878176, Time  0.265306
2021-09-15 03:48:25.474281 : Epoch  3, Batch    391, Loss  0.606557, Average Loss  0.614249, Time  0.239520
2021-09-15 03:48:26.248371 : Epoch  4, Batch    501, Loss  0.603051, Average Loss  0.611039, Time  0.231384
2021-09-15 03:48:27.169526 : Epoch  3, Batch    392, Loss  0.616409, Average Loss  0.614238, Time  0.259660
2021-09-15 03:48:27.756363 : Epoch  1, Batch   1004, Loss  0.864426, Average Loss  0.878089, Time  0.264720
2021-09-15 03:48:27.789093 : Epoch  4, Batch    502, Loss  0.603676, Average Loss  0.610969, Time  0.232121
2021-09-15 03:48:28.864172 : Epoch  3, Batch    393, Loss  0.617870, Average Loss  0.614190, Time  0.257051
2021-09-15 03:48:29.339395 : Epoch  4, Batch    503, Loss  0.604348, Average Loss  0.610888, Time  0.231483
2021-09-15 03:48:30.567493 : Epoch  3, Batch    394, Loss  0.614394, Average Loss  0.614158, Time  0.258166
2021-09-15 03:48:30.782746 : Epoch  1, Batch   1005, Loss  0.872437, Average Loss  0.878095, Time  0.264596
2021-09-15 03:48:30.910197 : Epoch  4, Batch    504, Loss  0.608468, Average Loss  0.610877, Time  0.231451
2021-09-15 03:48:32.102971 : Epoch  3, Batch    395, Loss  0.618639, Average Loss  0.614152, Time  0.240741
2021-09-15 03:48:32.455756 : Epoch  4, Batch    505, Loss  0.598435, Average Loss  0.610733, Time  0.231489
2021-09-15 03:48:33.639846 : Epoch  3, Batch    396, Loss  0.616640, Average Loss  0.614182, Time  0.239490
2021-09-15 03:48:33.793055 : Epoch  1, Batch   1006, Loss  0.882105, Average Loss  0.878212, Time  0.266387
2021-09-15 03:48:33.989109 : Epoch  4, Batch    506, Loss  0.613713, Average Loss  0.610680, Time  0.231461
2021-09-15 03:48:35.529345 : Epoch  4, Batch    507, Loss  0.607935, Average Loss  0.610626, Time  0.231465
2021-09-15 03:48:36.829985 : Epoch  1, Batch   1007, Loss  0.882567, Average Loss  0.878307, Time  0.267410
2021-09-15 03:48:37.074219 : Epoch  4, Batch    508, Loss  0.603307, Average Loss  0.610584, Time  0.231488
2021-09-15 03:48:37.551030 : Epoch  3, Batch    397, Loss  0.619225, Average Loss  0.614272, Time  0.266671
2021-09-15 03:48:38.621996 : Epoch  4, Batch    509, Loss  0.619831, Average Loss  0.610603, Time  0.231506
2021-09-15 03:48:39.250591 : Epoch  3, Batch    398, Loss  0.626699, Average Loss  0.614338, Time  0.264298
2021-09-15 03:48:39.874428 : Epoch  1, Batch   1008, Loss  0.885190, Average Loss  0.878436, Time  0.265378
2021-09-15 03:48:40.934573 : Epoch  3, Batch    399, Loss  0.614217, Average Loss  0.614356, Time  0.260254
2021-09-15 03:48:42.575371 : Epoch  4, Batch    510, Loss  0.624232, Average Loss  0.610616, Time  0.271306
2021-09-15 03:48:42.631029 : Epoch  3, Batch    400, Loss  0.613620, Average Loss  0.614300, Time  0.258157
2021-09-15 03:48:42.886828 : Epoch  1, Batch   1009, Loss  0.884724, Average Loss  0.878366, Time  0.265136
2021-09-15 03:48:44.132907 : Epoch  4, Batch    511, Loss  0.611695, Average Loss  0.610637, Time  0.248493
2021-09-15 03:48:44.322480 : Epoch  3, Batch    401, Loss  0.622912, Average Loss  0.614390, Time  0.258748
2021-09-15 03:48:45.670960 : Epoch  4, Batch    512, Loss  0.607491, Average Loss  0.610625, Time  0.231386
2021-09-15 03:48:45.840384 : Epoch  3, Batch    402, Loss  0.606700, Average Loss  0.614350, Time  0.241738
2021-09-15 03:48:45.888482 : Epoch  1, Batch   1010, Loss  0.888102, Average Loss  0.878493, Time  0.264750
2021-09-15 03:48:47.213597 : Epoch  4, Batch    513, Loss  0.606362, Average Loss  0.610620, Time  0.231228
2021-09-15 03:48:47.358802 : Epoch  3, Batch    403, Loss  0.618035, Average Loss  0.614392, Time  0.238596
2021-09-15 03:48:48.768003 : Epoch  4, Batch    514, Loss  0.605969, Average Loss  0.610608, Time  0.231555
2021-09-15 03:48:48.885375 : Epoch  3, Batch    404, Loss  0.605005, Average Loss  0.614284, Time  0.240504
2021-09-15 03:48:48.923041 : Epoch  1, Batch   1011, Loss  0.892095, Average Loss  0.878575, Time  0.276646
2021-09-15 03:48:50.307081 : Epoch  4, Batch    515, Loss  0.605533, Average Loss  0.610535, Time  0.231319
2021-09-15 03:48:50.416818 : Epoch  3, Batch    405, Loss  0.606769, Average Loss  0.614250, Time  0.239820
2021-09-15 03:48:51.855428 : Epoch  4, Batch    516, Loss  0.615745, Average Loss  0.610537, Time  0.233886
2021-09-15 03:48:51.928020 : Epoch  1, Batch   1012, Loss  0.856137, Average Loss  0.878457, Time  0.264750
2021-09-15 03:48:51.941356 : Epoch  3, Batch    406, Loss  0.620062, Average Loss  0.614307, Time  0.240140
2021-09-15 03:48:53.396484 : Epoch  4, Batch    517, Loss  0.614027, Average Loss  0.610490, Time  0.231424
2021-09-15 03:48:53.648277 : Epoch  3, Batch    407, Loss  0.610626, Average Loss  0.614249, Time  0.260878
2021-09-15 03:48:54.915505 : Epoch  1, Batch   1013, Loss  0.880222, Average Loss  0.878559, Time  0.265193
2021-09-15 03:48:54.940958 : Epoch  4, Batch    518, Loss  0.608726, Average Loss  0.610457, Time  0.231261
2021-09-15 03:48:55.199098 : Epoch  3, Batch    408, Loss  0.614345, Average Loss  0.614194, Time  0.240621
2021-09-15 03:48:56.497341 : Epoch  4, Batch    519, Loss  0.611927, Average Loss  0.610487, Time  0.231629
2021-09-15 03:48:56.723823 : Epoch  3, Batch    409, Loss  0.606647, Average Loss  0.614167, Time  0.239058
2021-09-15 03:48:57.936423 : Epoch  1, Batch   1014, Loss  0.883729, Average Loss  0.878535, Time  0.264814
2021-09-15 03:48:58.046132 : Epoch  4, Batch    520, Loss  0.608544, Average Loss  0.610458, Time  0.231616
2021-09-15 03:48:58.241800 : Epoch  3, Batch    410, Loss  0.609198, Average Loss  0.614160, Time  0.238093
2021-09-15 03:48:59.583833 : Epoch  4, Batch    521, Loss  0.617692, Average Loss  0.610507, Time  0.231287
2021-09-15 03:48:59.764885 : Epoch  3, Batch    411, Loss  0.609204, Average Loss  0.614149, Time  0.240113
2021-09-15 03:49:00.964518 : Epoch  1, Batch   1015, Loss  0.853641, Average Loss  0.878379, Time  0.265065
2021-09-15 03:49:01.138073 : Epoch  4, Batch    522, Loss  0.587165, Average Loss  0.610415, Time  0.231466
2021-09-15 03:49:01.300823 : Epoch  3, Batch    412, Loss  0.623612, Average Loss  0.614239, Time  0.243053
2021-09-15 03:49:02.681007 : Epoch  4, Batch    523, Loss  0.605963, Average Loss  0.610411, Time  0.232538
2021-09-15 03:49:02.821579 : Epoch  3, Batch    413, Loss  0.614802, Average Loss  0.614298, Time  0.238062
2021-09-15 03:49:03.940328 : Epoch  1, Batch   1016, Loss  0.869200, Average Loss  0.878337, Time  0.264631
2021-09-15 03:49:04.230803 : Epoch  4, Batch    524, Loss  0.616846, Average Loss  0.610475, Time  0.231128
2021-09-15 03:49:04.341648 : Epoch  3, Batch    414, Loss  0.612922, Average Loss  0.614295, Time  0.239044
2021-09-15 03:49:05.777676 : Epoch  4, Batch    525, Loss  0.600408, Average Loss  0.610352, Time  0.231855
2021-09-15 03:49:05.878813 : Epoch  3, Batch    415, Loss  0.611100, Average Loss  0.614270, Time  0.239810
2021-09-15 03:49:06.976818 : Epoch  1, Batch   1017, Loss  0.868930, Average Loss  0.878414, Time  0.264809
2021-09-15 03:49:07.329019 : Epoch  4, Batch    526, Loss  0.602822, Average Loss  0.610277, Time  0.231972
2021-09-15 03:49:07.411868 : Epoch  3, Batch    416, Loss  0.609533, Average Loss  0.614205, Time  0.239727
2021-09-15 03:49:08.861171 : Epoch  4, Batch    527, Loss  0.604031, Average Loss  0.610230, Time  0.231448
2021-09-15 03:49:08.923012 : Epoch  3, Batch    417, Loss  0.617435, Average Loss  0.614162, Time  0.238732
2021-09-15 03:49:09.999115 : Epoch  1, Batch   1018, Loss  0.873991, Average Loss  0.878363, Time  0.265721
2021-09-15 03:49:10.398812 : Epoch  4, Batch    528, Loss  0.611278, Average Loss  0.610200, Time  0.232339
2021-09-15 03:49:10.430876 : Epoch  3, Batch    418, Loss  0.607985, Average Loss  0.614100, Time  0.238482
2021-09-15 03:49:11.923508 : Epoch  4, Batch    529, Loss  0.609645, Average Loss  0.610211, Time  0.231644
2021-09-15 03:49:11.968007 : Epoch  3, Batch    419, Loss  0.606019, Average Loss  0.614023, Time  0.238719
2021-09-15 03:49:13.017851 : Epoch  1, Batch   1019, Loss  0.887313, Average Loss  0.878408, Time  0.264917
2021-09-15 03:49:13.468048 : Epoch  4, Batch    530, Loss  0.609346, Average Loss  0.610195, Time  0.232111
2021-09-15 03:49:13.496919 : Epoch  3, Batch    420, Loss  0.612577, Average Loss  0.614020, Time  0.239967
2021-09-15 03:49:15.002806 : Epoch  3, Batch    421, Loss  0.614890, Average Loss  0.614037, Time  0.240783
2021-09-15 03:49:15.040080 : Epoch  4, Batch    531, Loss  0.608859, Average Loss  0.610184, Time  0.231613
2021-09-15 03:49:16.015033 : Epoch  1, Batch   1020, Loss  0.872546, Average Loss  0.878289, Time  0.263650
2021-09-15 03:49:16.526980 : Epoch  3, Batch    422, Loss  0.627592, Average Loss  0.614083, Time  0.239060
2021-09-15 03:49:16.596922 : Epoch  4, Batch    532, Loss  0.615523, Average Loss  0.610136, Time  0.231433
2021-09-15 03:49:18.033957 : Epoch  3, Batch    423, Loss  0.615286, Average Loss  0.614111, Time  0.240387
2021-09-15 03:49:18.127850 : Epoch  4, Batch    533, Loss  0.610065, Average Loss  0.610104, Time  0.231525
2021-09-15 03:49:19.031554 : Epoch  1, Batch   1021, Loss  0.889448, Average Loss  0.878269, Time  0.265091
2021-09-15 03:49:19.558955 : Epoch  3, Batch    424, Loss  0.607415, Average Loss  0.614075, Time  0.238067
2021-09-15 03:49:19.669807 : Epoch  4, Batch    534, Loss  0.612379, Average Loss  0.610065, Time  0.231651
2021-09-15 03:49:21.091358 : Epoch  3, Batch    425, Loss  0.611230, Average Loss  0.614023, Time  0.240586
2021-09-15 03:49:21.196434 : Epoch  4, Batch    535, Loss  0.610773, Average Loss  0.610052, Time  0.231426
2021-09-15 03:49:22.060287 : Epoch  1, Batch   1022, Loss  0.863733, Average Loss  0.878265, Time  0.266546
2021-09-15 03:49:22.729097 : Epoch  4, Batch    536, Loss  0.614335, Average Loss  0.610059, Time  0.231455
2021-09-15 03:49:24.269665 : Epoch  4, Batch    537, Loss  0.610868, Average Loss  0.610122, Time  0.231123
2021-09-15 03:49:24.917657 : Epoch  3, Batch    426, Loss  0.606302, Average Loss  0.613982, Time  0.267760
2021-09-15 03:49:25.079573 : Epoch  1, Batch   1023, Loss  0.903143, Average Loss  0.878433, Time  0.264277
2021-09-15 03:49:25.814045 : Epoch  4, Batch    538, Loss  0.597760, Average Loss  0.610072, Time  0.231989
2021-09-15 03:49:27.351424 : Epoch  4, Batch    539, Loss  0.609619, Average Loss  0.610050, Time  0.231347
2021-09-15 03:49:28.075955 : Epoch  1, Batch   1024, Loss  0.875843, Average Loss  0.878313, Time  0.265332
2021-09-15 03:49:31.122315 : Epoch  1, Batch   1025, Loss  0.869790, Average Loss  0.878265, Time  0.266338
2021-09-15 03:49:34.130645 : Epoch  1, Batch   1026, Loss  0.886284, Average Loss  0.878261, Time  0.271871
2021-09-15 03:49:37.137287 : Epoch  1, Batch   1027, Loss  0.896855, Average Loss  0.878327, Time  0.266351
2021-09-15 03:49:40.158249 : Epoch  1, Batch   1028, Loss  0.854022, Average Loss  0.878150, Time  0.264576
2021-09-15 03:49:43.163802 : Epoch  1, Batch   1029, Loss  0.894446, Average Loss  0.878194, Time  0.265036
2021-09-15 03:49:46.201108 : Epoch  1, Batch   1030, Loss  0.887351, Average Loss  0.878374, Time  0.266569
2021-09-15 03:49:49.205188 : Epoch  1, Batch   1031, Loss  0.867116, Average Loss  0.878318, Time  0.264810
2021-09-15 03:49:52.233759 : Epoch  1, Batch   1032, Loss  0.878561, Average Loss  0.878421, Time  0.265642
2021-09-15 03:49:55.255854 : Epoch  1, Batch   1033, Loss  0.877243, Average Loss  0.878449, Time  0.264779
2021-09-15 03:49:58.294630 : Epoch  1, Batch   1034, Loss  0.856731, Average Loss  0.878260, Time  0.265924
2021-09-15 03:50:01.319170 : Epoch  1, Batch   1035, Loss  0.890301, Average Loss  0.878386, Time  0.266105
2021-09-15 03:50:04.327454 : Epoch  1, Batch   1036, Loss  0.877659, Average Loss  0.878271, Time  0.264879
2021-09-15 03:50:07.375158 : Epoch  1, Batch   1037, Loss  0.863829, Average Loss  0.878277, Time  0.266469
2021-09-15 03:50:10.396761 : Epoch  1, Batch   1038, Loss  0.872690, Average Loss  0.878188, Time  0.265492
2021-09-15 03:50:13.413505 : Epoch  1, Batch   1039, Loss  0.882460, Average Loss  0.878127, Time  0.265065
2021-09-15 03:50:16.412837 : Epoch  1, Batch   1040, Loss  0.890367, Average Loss  0.878304, Time  0.264301
2021-09-15 03:50:19.452810 : Epoch  1, Batch   1041, Loss  0.875275, Average Loss  0.878282, Time  0.279440
2021-09-15 03:50:21.475757 : CheckPoint: Validation Loss  0.00026139, Best Loss  0.00025447
2021-09-15 03:50:22.491094 : Epoch  1, Batch   1042, Loss  0.891378, Average Loss  0.878380, Time  0.266539
2021-09-15 03:50:23.077023 : Epoch  3, Batch    427, Loss  0.606691, Average Loss  0.613910, Time  0.241545
2021-09-15 03:50:24.609268 : Epoch  3, Batch    428, Loss  0.610054, Average Loss  0.613960, Time  0.237911
2021-09-15 03:50:25.050710 : CheckPoint: Validation Loss  0.00025347, Best Loss  0.00024882
2021-09-15 03:50:25.537905 : Epoch  1, Batch   1043, Loss  0.874026, Average Loss  0.878361, Time  0.265532
2021-09-15 03:50:26.147020 : Epoch  3, Batch    429, Loss  0.609470, Average Loss  0.613949, Time  0.241077
2021-09-15 03:50:26.571642 : Epoch  4, Batch    540, Loss  0.602275, Average Loss  0.610049, Time  0.231019
2021-09-15 03:50:27.725367 : Epoch  3, Batch    430, Loss  0.599076, Average Loss  0.613919, Time  0.240606
2021-09-15 03:50:28.101231 : Epoch  4, Batch    541, Loss  0.605014, Average Loss  0.610042, Time  0.230824
2021-09-15 03:50:28.559664 : Epoch  1, Batch   1044, Loss  0.867641, Average Loss  0.878231, Time  0.265028
2021-09-15 03:50:29.250908 : Epoch  3, Batch    431, Loss  0.602648, Average Loss  0.613821, Time  0.241009
2021-09-15 03:50:29.622461 : Epoch  4, Batch    542, Loss  0.610162, Average Loss  0.610029, Time  0.230457
2021-09-15 03:50:30.777295 : Epoch  3, Batch    432, Loss  0.611259, Average Loss  0.613775, Time  0.239706
2021-09-15 03:50:31.151927 : Epoch  4, Batch    543, Loss  0.607654, Average Loss  0.610013, Time  0.232209
2021-09-15 03:50:31.552238 : Epoch  1, Batch   1045, Loss  0.861607, Average Loss  0.878095, Time  0.264902
2021-09-15 03:50:32.313515 : Epoch  3, Batch    433, Loss  0.607740, Average Loss  0.613769, Time  0.242144
2021-09-15 03:50:32.687568 : Epoch  4, Batch    544, Loss  0.601888, Average Loss  0.610007, Time  0.230440
2021-09-15 03:50:33.998034 : Epoch  3, Batch    434, Loss  0.610874, Average Loss  0.613778, Time  0.259513
2021-09-15 03:50:34.217419 : Epoch  4, Batch    545, Loss  0.600085, Average Loss  0.609953, Time  0.232398
2021-09-15 03:50:34.581269 : Epoch  1, Batch   1046, Loss  0.856074, Average Loss  0.877975, Time  0.265430
2021-09-15 03:50:35.675990 : Epoch  3, Batch    435, Loss  0.620273, Average Loss  0.613793, Time  0.259405
2021-09-15 03:50:35.746017 : Epoch  4, Batch    546, Loss  0.615359, Average Loss  0.610009, Time  0.231582
2021-09-15 03:50:37.273637 : Epoch  4, Batch    547, Loss  0.613300, Average Loss  0.610016, Time  0.231608
2021-09-15 03:50:37.371929 : Epoch  3, Batch    436, Loss  0.617405, Average Loss  0.613816, Time  0.261150
2021-09-15 03:50:37.576570 : Epoch  1, Batch   1047, Loss  0.864703, Average Loss  0.877894, Time  0.266511
2021-09-15 03:50:38.827867 : Epoch  4, Batch    548, Loss  0.609880, Average Loss  0.610014, Time  0.231628
2021-09-15 03:50:39.037359 : Epoch  3, Batch    437, Loss  0.623239, Average Loss  0.613894, Time  0.257776
2021-09-15 03:50:40.371102 : Epoch  4, Batch    549, Loss  0.608737, Average Loss  0.609955, Time  0.232343
2021-09-15 03:50:40.552063 : Epoch  3, Batch    438, Loss  0.604590, Average Loss  0.613833, Time  0.239753
2021-09-15 03:50:40.565260 : Epoch  1, Batch   1048, Loss  0.868489, Average Loss  0.877763, Time  0.265052
2021-09-15 03:50:41.921953 : Epoch  4, Batch    550, Loss  0.598237, Average Loss  0.609909, Time  0.231312
2021-09-15 03:50:42.234682 : Epoch  3, Batch    439, Loss  0.615025, Average Loss  0.613788, Time  0.259416
2021-09-15 03:50:43.465015 : Epoch  4, Batch    551, Loss  0.606214, Average Loss  0.609900, Time  0.231865
2021-09-15 03:50:43.570549 : Epoch  1, Batch   1049, Loss  0.885256, Average Loss  0.877775, Time  0.265334
2021-09-15 03:50:43.918055 : Epoch  3, Batch    440, Loss  0.625594, Average Loss  0.613919, Time  0.260721
2021-09-15 03:50:45.019295 : Epoch  4, Batch    552, Loss  0.601246, Average Loss  0.609840, Time  0.231302
2021-09-15 03:50:45.430872 : Epoch  3, Batch    441, Loss  0.615647, Average Loss  0.613934, Time  0.238697
2021-09-15 03:50:46.561190 : Epoch  1, Batch   1050, Loss  0.875838, Average Loss  0.877745, Time  0.265737
2021-09-15 03:50:46.564010 : Epoch  4, Batch    553, Loss  0.609748, Average Loss  0.609817, Time  0.231190
2021-09-15 03:50:46.942350 : Epoch  3, Batch    442, Loss  0.623157, Average Loss  0.613917, Time  0.239748
2021-09-15 03:50:48.141283 : Epoch  4, Batch    554, Loss  0.606534, Average Loss  0.609793, Time  0.231826
2021-09-15 03:50:48.473151 : Epoch  3, Batch    443, Loss  0.616163, Average Loss  0.613906, Time  0.238487
2021-09-15 03:50:49.568772 : Epoch  1, Batch   1051, Loss  0.904867, Average Loss  0.877789, Time  0.264967
2021-09-15 03:50:49.689062 : Epoch  4, Batch    555, Loss  0.606182, Average Loss  0.609789, Time  0.231835
2021-09-15 03:50:49.991341 : Epoch  3, Batch    444, Loss  0.616464, Average Loss  0.613796, Time  0.239202
2021-09-15 03:50:51.222090 : Epoch  4, Batch    556, Loss  0.599618, Average Loss  0.609721, Time  0.231162
2021-09-15 03:50:51.505527 : Epoch  3, Batch    445, Loss  0.611314, Average Loss  0.613787, Time  0.239501
2021-09-15 03:50:52.568919 : Epoch  1, Batch   1052, Loss  0.883566, Average Loss  0.877762, Time  0.264551
2021-09-15 03:50:52.763419 : Epoch  4, Batch    557, Loss  0.602260, Average Loss  0.609715, Time  0.231797
2021-09-15 03:50:53.013369 : Epoch  3, Batch    446, Loss  0.621007, Average Loss  0.613795, Time  0.239799
2021-09-15 03:50:54.297397 : Epoch  4, Batch    558, Loss  0.603959, Average Loss  0.609646, Time  0.231070
2021-09-15 03:50:54.518325 : Epoch  3, Batch    447, Loss  0.617276, Average Loss  0.613851, Time  0.240401
2021-09-15 03:50:55.600011 : Epoch  1, Batch   1053, Loss  0.891538, Average Loss  0.877884, Time  0.264422
2021-09-15 03:50:55.846636 : Epoch  4, Batch    559, Loss  0.607281, Average Loss  0.609611, Time  0.230989
2021-09-15 03:50:56.034195 : Epoch  3, Batch    448, Loss  0.618161, Average Loss  0.613802, Time  0.241514
2021-09-15 03:50:57.380543 : Epoch  4, Batch    560, Loss  0.604370, Average Loss  0.609564, Time  0.230886
2021-09-15 03:50:57.568174 : Epoch  3, Batch    449, Loss  0.619009, Average Loss  0.613807, Time  0.241303
2021-09-15 03:50:58.634412 : Epoch  1, Batch   1054, Loss  0.852861, Average Loss  0.877800, Time  0.265450
2021-09-15 03:50:58.924168 : Epoch  4, Batch    561, Loss  0.619818, Average Loss  0.609619, Time  0.232269
2021-09-15 03:50:59.074764 : Epoch  3, Batch    450, Loss  0.613133, Average Loss  0.613776, Time  0.238527
2021-09-15 03:51:00.453874 : Epoch  4, Batch    562, Loss  0.619064, Average Loss  0.609611, Time  0.231122
2021-09-15 03:51:00.578095 : Epoch  3, Batch    451, Loss  0.607491, Average Loss  0.613728, Time  0.239363
2021-09-15 03:51:01.673269 : Epoch  1, Batch   1055, Loss  0.877938, Average Loss  0.877730, Time  0.265886
2021-09-15 03:51:01.995467 : Epoch  4, Batch    563, Loss  0.601615, Average Loss  0.609548, Time  0.231315
2021-09-15 03:51:02.255319 : Epoch  3, Batch    452, Loss  0.614826, Average Loss  0.613767, Time  0.260010
2021-09-15 03:51:03.534945 : Epoch  4, Batch    564, Loss  0.612923, Average Loss  0.609537, Time  0.231199
2021-09-15 03:51:03.949148 : Epoch  3, Batch    453, Loss  0.610919, Average Loss  0.613733, Time  0.265671
2021-09-15 03:51:04.702788 : Epoch  1, Batch   1056, Loss  0.862010, Average Loss  0.877632, Time  0.271667
2021-09-15 03:51:05.071335 : Epoch  4, Batch    565, Loss  0.625175, Average Loss  0.609602, Time  0.231448
2021-09-15 03:51:05.619382 : Epoch  3, Batch    454, Loss  0.601902, Average Loss  0.613648, Time  0.258767
2021-09-15 03:51:06.605827 : Epoch  4, Batch    566, Loss  0.614301, Average Loss  0.609610, Time  0.231306
2021-09-15 03:51:07.294868 : Epoch  3, Batch    455, Loss  0.605911, Average Loss  0.613600, Time  0.257450
2021-09-15 03:51:07.725300 : Epoch  1, Batch   1057, Loss  0.882113, Average Loss  0.877602, Time  0.265516
2021-09-15 03:51:08.136510 : Epoch  4, Batch    567, Loss  0.620153, Average Loss  0.609657, Time  0.231331
2021-09-15 03:51:08.980974 : Epoch  3, Batch    456, Loss  0.601178, Average Loss  0.613526, Time  0.257695
2021-09-15 03:51:09.675111 : Epoch  4, Batch    568, Loss  0.611222, Average Loss  0.609684, Time  0.231544
2021-09-15 03:51:10.656231 : Epoch  3, Batch    457, Loss  0.612343, Average Loss  0.613521, Time  0.257702
2021-09-15 03:51:10.708260 : Epoch  1, Batch   1058, Loss  0.871521, Average Loss  0.877463, Time  0.264325
2021-09-15 03:51:11.213507 : Epoch  4, Batch    569, Loss  0.618423, Average Loss  0.609761, Time  0.231094
2021-09-15 03:51:12.179345 : Epoch  3, Batch    458, Loss  0.613010, Average Loss  0.613528, Time  0.238980
2021-09-15 03:51:12.742868 : Epoch  4, Batch    570, Loss  0.613131, Average Loss  0.609803, Time  0.231491
2021-09-15 03:51:13.701648 : Epoch  1, Batch   1059, Loss  0.858533, Average Loss  0.877237, Time  0.264794
2021-09-15 03:51:13.711212 : Epoch  3, Batch    459, Loss  0.616369, Average Loss  0.613576, Time  0.240689
2021-09-15 03:51:14.295592 : Epoch  4, Batch    571, Loss  0.611792, Average Loss  0.609812, Time  0.231747
2021-09-15 03:51:15.402381 : Epoch  3, Batch    460, Loss  0.609323, Average Loss  0.613576, Time  0.241754
2021-09-15 03:51:15.837931 : Epoch  4, Batch    572, Loss  0.606936, Average Loss  0.609853, Time  0.232094
2021-09-15 03:51:16.696111 : Epoch  1, Batch   1060, Loss  0.877773, Average Loss  0.877188, Time  0.264554
2021-09-15 03:51:16.928394 : Epoch  3, Batch    461, Loss  0.605381, Average Loss  0.613470, Time  0.238147
2021-09-15 03:51:17.377602 : Epoch  4, Batch    573, Loss  0.610228, Average Loss  0.609870, Time  0.232060
2021-09-15 03:51:18.601894 : Epoch  3, Batch    462, Loss  0.615440, Average Loss  0.613496, Time  0.256674
2021-09-15 03:51:18.944416 : Epoch  4, Batch    574, Loss  0.610549, Average Loss  0.609892, Time  0.231359
2021-09-15 03:51:19.722575 : Epoch  1, Batch   1061, Loss  0.881588, Average Loss  0.877130, Time  0.265174
2021-09-15 03:51:20.297945 : Epoch  3, Batch    463, Loss  0.620768, Average Loss  0.613496, Time  0.258722
2021-09-15 03:51:20.506376 : Epoch  4, Batch    575, Loss  0.611029, Average Loss  0.609891, Time  0.230887
2021-09-15 03:51:21.828997 : Epoch  3, Batch    464, Loss  0.612832, Average Loss  0.613528, Time  0.238974
2021-09-15 03:51:22.046814 : Epoch  4, Batch    576, Loss  0.608337, Average Loss  0.609923, Time  0.231670
2021-09-15 03:51:22.765995 : Epoch  1, Batch   1062, Loss  0.874508, Average Loss  0.877170, Time  0.265201
2021-09-15 03:51:23.350419 : Epoch  3, Batch    465, Loss  0.611344, Average Loss  0.613545, Time  0.239505
2021-09-15 03:51:23.585674 : Epoch  4, Batch    577, Loss  0.605736, Average Loss  0.609902, Time  0.230966
2021-09-15 03:51:24.881384 : Epoch  3, Batch    466, Loss  0.616465, Average Loss  0.613549, Time  0.241378
2021-09-15 03:51:25.128797 : Epoch  4, Batch    578, Loss  0.619830, Average Loss  0.609958, Time  0.232335
2021-09-15 03:51:25.789079 : Epoch  1, Batch   1063, Loss  0.870734, Average Loss  0.877182, Time  0.264607
2021-09-15 03:51:26.419429 : Epoch  3, Batch    467, Loss  0.623162, Average Loss  0.613590, Time  0.241741
2021-09-15 03:51:26.707954 : Epoch  4, Batch    579, Loss  0.602662, Average Loss  0.609932, Time  0.231832
2021-09-15 03:51:28.100956 : Epoch  3, Batch    468, Loss  0.615319, Average Loss  0.613611, Time  0.258260
2021-09-15 03:51:28.252436 : Epoch  4, Batch    580, Loss  0.608544, Average Loss  0.609930, Time  0.232184
2021-09-15 03:51:28.792253 : Epoch  1, Batch   1064, Loss  0.874632, Average Loss  0.877227, Time  0.264727
2021-09-15 03:51:29.774185 : Epoch  3, Batch    469, Loss  0.610162, Average Loss  0.613623, Time  0.257329
2021-09-15 03:51:29.805884 : Epoch  4, Batch    581, Loss  0.613215, Average Loss  0.609953, Time  0.231325
2021-09-15 03:51:31.311536 : Epoch  3, Batch    470, Loss  0.606130, Average Loss  0.613622, Time  0.240118
2021-09-15 03:51:31.348851 : Epoch  4, Batch    582, Loss  0.607523, Average Loss  0.609927, Time  0.231359
2021-09-15 03:51:31.814479 : Epoch  1, Batch   1065, Loss  0.897938, Average Loss  0.877261, Time  0.264510
2021-09-15 03:51:32.842826 : Epoch  3, Batch    471, Loss  0.606467, Average Loss  0.613562, Time  0.241007
2021-09-15 03:51:32.893609 : Epoch  4, Batch    583, Loss  0.618301, Average Loss  0.609947, Time  0.231177
2021-09-15 03:51:34.368769 : Epoch  3, Batch    472, Loss  0.599203, Average Loss  0.613475, Time  0.241932
2021-09-15 03:51:34.438608 : Epoch  4, Batch    584, Loss  0.611598, Average Loss  0.609947, Time  0.232398
2021-09-15 03:51:34.810602 : Epoch  1, Batch   1066, Loss  0.875144, Average Loss  0.877218, Time  0.264565
2021-09-15 03:51:35.898363 : Epoch  3, Batch    473, Loss  0.617607, Average Loss  0.613494, Time  0.239878
2021-09-15 03:51:35.983587 : Epoch  4, Batch    585, Loss  0.616422, Average Loss  0.609974, Time  0.231152
2021-09-15 03:51:37.528516 : Epoch  4, Batch    586, Loss  0.616729, Average Loss  0.610030, Time  0.231889
2021-09-15 03:51:37.595464 : Epoch  3, Batch    474, Loss  0.626756, Average Loss  0.613571, Time  0.258374
2021-09-15 03:51:37.808942 : Epoch  1, Batch   1067, Loss  0.859967, Average Loss  0.877002, Time  0.265944
2021-09-15 03:51:39.067046 : Epoch  4, Batch    587, Loss  0.599366, Average Loss  0.609985, Time  0.231643
2021-09-15 03:51:39.280911 : Epoch  3, Batch    475, Loss  0.609117, Average Loss  0.613513, Time  0.259201
2021-09-15 03:51:40.605373 : Epoch  4, Batch    588, Loss  0.615740, Average Loss  0.610034, Time  0.230826
2021-09-15 03:51:40.807058 : Epoch  1, Batch   1068, Loss  0.885041, Average Loss  0.877137, Time  0.266576
2021-09-15 03:51:40.953060 : Epoch  3, Batch    476, Loss  0.609513, Average Loss  0.613480, Time  0.266667
2021-09-15 03:51:42.141925 : Epoch  4, Batch    589, Loss  0.615512, Average Loss  0.610029, Time  0.230746
2021-09-15 03:51:42.483908 : Epoch  3, Batch    477, Loss  0.624215, Average Loss  0.613519, Time  0.241871
2021-09-15 03:51:43.675487 : Epoch  4, Batch    590, Loss  0.610449, Average Loss  0.610105, Time  0.231789
2021-09-15 03:51:43.802109 : Epoch  1, Batch   1069, Loss  0.855906, Average Loss  0.877076, Time  0.264764
2021-09-15 03:51:43.999343 : Epoch  3, Batch    478, Loss  0.610444, Average Loss  0.613495, Time  0.238420
2021-09-15 03:51:45.218710 : Epoch  4, Batch    591, Loss  0.613058, Average Loss  0.610073, Time  0.231380
2021-09-15 03:51:45.515991 : Epoch  3, Batch    479, Loss  0.607901, Average Loss  0.613435, Time  0.237314
2021-09-15 03:51:46.760420 : Epoch  4, Batch    592, Loss  0.618891, Average Loss  0.610114, Time  0.231370
2021-09-15 03:51:46.802618 : Epoch  1, Batch   1070, Loss  0.895467, Average Loss  0.877171, Time  0.265488
2021-09-15 03:51:47.029393 : Epoch  3, Batch    480, Loss  0.623319, Average Loss  0.613436, Time  0.239012
2021-09-15 03:51:48.309574 : Epoch  4, Batch    593, Loss  0.615908, Average Loss  0.610126, Time  0.232778
2021-09-15 03:51:48.566813 : Epoch  3, Batch    481, Loss  0.602248, Average Loss  0.613321, Time  0.241492
2021-09-15 03:51:49.815481 : Epoch  1, Batch   1071, Loss  0.861740, Average Loss  0.877067, Time  0.272690
2021-09-15 03:51:49.847969 : Epoch  4, Batch    594, Loss  0.612018, Average Loss  0.610106, Time  0.231870
2021-09-15 03:51:50.094442 : Epoch  3, Batch    482, Loss  0.611230, Average Loss  0.613305, Time  0.239573
2021-09-15 03:51:51.394021 : Epoch  4, Batch    595, Loss  0.605500, Average Loss  0.610033, Time  0.232161
2021-09-15 03:51:51.609763 : Epoch  3, Batch    483, Loss  0.612825, Average Loss  0.613323, Time  0.237372
2021-09-15 03:51:52.823350 : Epoch  1, Batch   1072, Loss  0.897037, Average Loss  0.877245, Time  0.264591
2021-09-15 03:51:52.941910 : Epoch  4, Batch    596, Loss  0.611289, Average Loss  0.610095, Time  0.232104
2021-09-15 03:51:53.123989 : Epoch  3, Batch    484, Loss  0.613697, Average Loss  0.613323, Time  0.237968
2021-09-15 03:51:54.484932 : Epoch  4, Batch    597, Loss  0.618921, Average Loss  0.610127, Time  0.231675
2021-09-15 03:51:54.809853 : Epoch  3, Batch    485, Loss  0.602670, Average Loss  0.613294, Time  0.252434
2021-09-15 03:51:55.828155 : Epoch  1, Batch   1073, Loss  0.876183, Average Loss  0.877178, Time  0.264782
2021-09-15 03:51:56.029484 : Epoch  4, Batch    598, Loss  0.611300, Average Loss  0.610102, Time  0.231219
2021-09-15 03:51:56.346876 : Epoch  3, Batch    486, Loss  0.618387, Average Loss  0.613348, Time  0.241586
2021-09-15 03:51:57.577620 : Epoch  4, Batch    599, Loss  0.598455, Average Loss  0.610015, Time  0.232509
2021-09-15 03:51:57.870821 : Epoch  3, Batch    487, Loss  0.609304, Average Loss  0.613290, Time  0.241175
2021-09-15 03:51:58.826722 : Epoch  1, Batch   1074, Loss  0.864904, Average Loss  0.877030, Time  0.264935
2021-09-15 03:51:59.120811 : Epoch  4, Batch    600, Loss  0.612642, Average Loss  0.609977, Time  0.230956
2021-09-15 03:51:59.393919 : Epoch  3, Batch    488, Loss  0.615144, Average Loss  0.613349, Time  0.240096
2021-09-15 03:52:00.658100 : Epoch  4, Batch    601, Loss  0.603238, Average Loss  0.609912, Time  0.231095
2021-09-15 03:52:00.932775 : Epoch  3, Batch    489, Loss  0.615098, Average Loss  0.613401, Time  0.241866
2021-09-15 03:52:01.821910 : Epoch  1, Batch   1075, Loss  0.871418, Average Loss  0.876994, Time  0.264316
2021-09-15 03:52:02.201094 : Epoch  4, Batch    602, Loss  0.617901, Average Loss  0.609999, Time  0.231062
2021-09-15 03:52:02.469991 : Epoch  3, Batch    490, Loss  0.620104, Average Loss  0.613437, Time  0.242018
2021-09-15 03:52:03.728327 : Epoch  4, Batch    603, Loss  0.615721, Average Loss  0.610035, Time  0.230966
2021-09-15 03:52:03.992857 : Epoch  3, Batch    491, Loss  0.601412, Average Loss  0.613437, Time  0.240650
2021-09-15 03:52:04.870865 : Epoch  1, Batch   1076, Loss  0.885798, Average Loss  0.877089, Time  0.265388
2021-09-15 03:52:05.265368 : Epoch  4, Batch    604, Loss  0.602045, Average Loss  0.609912, Time  0.231789
2021-09-15 03:52:05.511006 : Epoch  3, Batch    492, Loss  0.608154, Average Loss  0.613374, Time  0.238148
2021-09-15 03:52:06.801611 : Epoch  4, Batch    605, Loss  0.605712, Average Loss  0.609860, Time  0.231507
2021-09-15 03:52:07.039785 : Epoch  3, Batch    493, Loss  0.611259, Average Loss  0.613341, Time  0.239759
2021-09-15 03:52:07.914226 : Epoch  1, Batch   1077, Loss  0.889691, Average Loss  0.877084, Time  0.265357
2021-09-15 03:52:08.339924 : Epoch  4, Batch    606, Loss  0.606686, Average Loss  0.609863, Time  0.232321
2021-09-15 03:52:08.583841 : Epoch  3, Batch    494, Loss  0.613453, Average Loss  0.613333, Time  0.239964
2021-09-15 03:52:09.878348 : Epoch  4, Batch    607, Loss  0.625268, Average Loss  0.609936, Time  0.232345
2021-09-15 03:52:10.109855 : Epoch  3, Batch    495, Loss  0.603889, Average Loss  0.613293, Time  0.239759
2021-09-15 03:52:10.928718 : Epoch  1, Batch   1078, Loss  0.859066, Average Loss  0.877056, Time  0.264614
2021-09-15 03:52:11.416790 : Epoch  4, Batch    608, Loss  0.624083, Average Loss  0.610021, Time  0.231227
2021-09-15 03:52:11.635950 : Epoch  3, Batch    496, Loss  0.597661, Average Loss  0.613185, Time  0.239403
2021-09-15 03:52:12.965592 : Epoch  4, Batch    609, Loss  0.610312, Average Loss  0.610032, Time  0.231316
2021-09-15 03:52:13.951815 : Epoch  1, Batch   1079, Loss  0.867555, Average Loss  0.876991, Time  0.264096
2021-09-15 03:52:15.876990 : Epoch  3, Batch    497, Loss  0.623368, Average Loss  0.613212, Time  0.281458
2021-09-15 03:52:16.875039 : Epoch  4, Batch    610, Loss  0.605178, Average Loss  0.610029, Time  0.268489
2021-09-15 03:52:16.968753 : Epoch  1, Batch   1080, Loss  0.870716, Average Loss  0.876909, Time  0.265095
2021-09-15 03:52:17.411780 : Epoch  3, Batch    498, Loss  0.611652, Average Loss  0.613251, Time  0.254646
2021-09-15 03:52:18.419503 : Epoch  4, Batch    611, Loss  0.603750, Average Loss  0.609970, Time  0.233529
2021-09-15 03:52:18.940206 : Epoch  3, Batch    499, Loss  0.603651, Average Loss  0.613224, Time  0.243403
2021-09-15 03:52:19.111793 : Epoch  3, Batch    500, Loss  0.483838, Average Loss  0.612530, Time  0.127025
2021-09-15 03:52:19.970431 : Epoch  4, Batch    612, Loss  0.613598, Average Loss  0.609926, Time  0.231335
2021-09-15 03:52:19.981066 : Epoch  1, Batch   1081, Loss  0.867536, Average Loss  0.876942, Time  0.264507
2021-09-15 03:52:20.809891 : Epoch  3, Batch    501, Loss  0.612176, Average Loss  0.612540, Time  0.253526
2021-09-15 03:52:21.530534 : Epoch  4, Batch    613, Loss  0.613042, Average Loss  0.609958, Time  0.231519
2021-09-15 03:52:22.491244 : Epoch  3, Batch    502, Loss  0.624765, Average Loss  0.612610, Time  0.259664
2021-09-15 03:52:23.053512 : Epoch  1, Batch   1082, Loss  0.878877, Average Loss  0.876983, Time  0.264569
2021-09-15 03:52:23.074410 : Epoch  4, Batch    614, Loss  0.614606, Average Loss  0.609972, Time  0.231668
2021-09-15 03:52:24.159535 : Epoch  3, Batch    503, Loss  0.639511, Average Loss  0.612810, Time  0.258382
2021-09-15 03:52:24.639218 : Epoch  4, Batch    615, Loss  0.608587, Average Loss  0.609937, Time  0.231534
2021-09-15 03:52:25.867288 : Epoch  3, Batch    504, Loss  0.612543, Average Loss  0.612810, Time  0.258490
2021-09-15 03:52:26.080254 : Epoch  1, Batch   1083, Loss  0.869186, Average Loss  0.876960, Time  0.264450
2021-09-15 03:52:26.200890 : Epoch  4, Batch    616, Loss  0.605051, Average Loss  0.609919, Time  0.231591
2021-09-15 03:52:27.551553 : Epoch  3, Batch    505, Loss  0.623974, Average Loss  0.612811, Time  0.258015
2021-09-15 03:52:27.736496 : Epoch  4, Batch    617, Loss  0.599191, Average Loss  0.609876, Time  0.231428
2021-09-15 03:52:29.084747 : Epoch  1, Batch   1084, Loss  0.879722, Average Loss  0.877042, Time  0.264227
2021-09-15 03:52:29.097857 : Epoch  3, Batch    506, Loss  0.610603, Average Loss  0.612791, Time  0.242403
2021-09-15 03:52:29.281845 : Epoch  4, Batch    618, Loss  0.617286, Average Loss  0.609919, Time  0.231783
2021-09-15 03:52:30.655833 : Epoch  3, Batch    507, Loss  0.634469, Average Loss  0.612863, Time  0.241728
2021-09-15 03:52:30.839377 : Epoch  4, Batch    619, Loss  0.591300, Average Loss  0.609839, Time  0.231431
2021-09-15 03:52:32.115776 : Epoch  1, Batch   1085, Loss  0.888897, Average Loss  0.877083, Time  0.265560
2021-09-15 03:52:32.178040 : Epoch  3, Batch    508, Loss  0.625327, Average Loss  0.612924, Time  0.239195
2021-09-15 03:52:32.387878 : Epoch  4, Batch    620, Loss  0.605993, Average Loss  0.609833, Time  0.231305
2021-09-15 03:52:33.720979 : Epoch  3, Batch    509, Loss  0.630626, Average Loss  0.613009, Time  0.241306
2021-09-15 03:52:33.966705 : Epoch  4, Batch    621, Loss  0.622014, Average Loss  0.609884, Time  0.231801
2021-09-15 03:52:35.105792 : Epoch  1, Batch   1086, Loss  0.878517, Average Loss  0.877040, Time  0.274167
2021-09-15 03:52:35.247428 : Epoch  3, Batch    510, Loss  0.630763, Average Loss  0.613068, Time  0.241646
2021-09-15 03:52:35.514351 : Epoch  4, Batch    622, Loss  0.609453, Average Loss  0.609891, Time  0.231569
2021-09-15 03:52:36.769759 : Epoch  3, Batch    511, Loss  0.622316, Average Loss  0.613084, Time  0.242032
2021-09-15 03:52:37.063199 : Epoch  4, Batch    623, Loss  0.611839, Average Loss  0.609903, Time  0.231475
2021-09-15 03:52:38.115700 : Epoch  1, Batch   1087, Loss  0.898019, Average Loss  0.877237, Time  0.266502
2021-09-15 03:52:38.292369 : Epoch  3, Batch    512, Loss  0.618557, Average Loss  0.613097, Time  0.239752
2021-09-15 03:52:38.610322 : Epoch  4, Batch    624, Loss  0.601523, Average Loss  0.609896, Time  0.232018
2021-09-15 03:52:39.820856 : Epoch  3, Batch    513, Loss  0.613329, Average Loss  0.613073, Time  0.242642
2021-09-15 03:52:40.159650 : Epoch  4, Batch    625, Loss  0.613132, Average Loss  0.609852, Time  0.231572
2021-09-15 03:52:41.153335 : Epoch  1, Batch   1088, Loss  0.870006, Average Loss  0.877226, Time  0.266629
2021-09-15 03:52:41.351345 : Epoch  3, Batch    514, Loss  0.621442, Average Loss  0.613060, Time  0.240183
2021-09-15 03:52:41.727917 : Epoch  4, Batch    626, Loss  0.614651, Average Loss  0.609885, Time  0.232592
2021-09-15 03:52:42.873106 : Epoch  3, Batch    515, Loss  0.627828, Average Loss  0.613130, Time  0.241981
2021-09-15 03:52:43.270249 : Epoch  4, Batch    627, Loss  0.612165, Average Loss  0.609886, Time  0.231758
2021-09-15 03:52:44.179838 : Epoch  1, Batch   1089, Loss  0.863982, Average Loss  0.877203, Time  0.266427
2021-09-15 03:52:44.396476 : Epoch  3, Batch    516, Loss  0.620029, Average Loss  0.613148, Time  0.238913
2021-09-15 03:52:44.820850 : Epoch  4, Batch    628, Loss  0.603654, Average Loss  0.609834, Time  0.231370
2021-09-15 03:52:45.912987 : Epoch  3, Batch    517, Loss  0.623415, Average Loss  0.613164, Time  0.239495
2021-09-15 03:52:46.362645 : Epoch  4, Batch    629, Loss  0.609882, Average Loss  0.609832, Time  0.231381
2021-09-15 03:52:47.173234 : Epoch  1, Batch   1090, Loss  0.879334, Average Loss  0.877199, Time  0.264744
2021-09-15 03:52:47.464127 : Epoch  3, Batch    518, Loss  0.625930, Average Loss  0.613183, Time  0.241772
2021-09-15 03:52:47.910117 : Epoch  4, Batch    630, Loss  0.619510, Average Loss  0.609876, Time  0.231669
2021-09-15 03:52:48.984797 : Epoch  3, Batch    519, Loss  0.618762, Average Loss  0.613211, Time  0.241420
2021-09-15 03:52:49.458413 : Epoch  4, Batch    631, Loss  0.613110, Average Loss  0.609875, Time  0.231431
2021-09-15 03:52:50.187435 : Epoch  1, Batch   1091, Loss  0.874497, Average Loss  0.877221, Time  0.265365
2021-09-15 03:52:50.510143 : Epoch  3, Batch    520, Loss  0.619684, Average Loss  0.613265, Time  0.239920
2021-09-15 03:52:51.003908 : Epoch  4, Batch    632, Loss  0.601386, Average Loss  0.609844, Time  0.231630
2021-09-15 03:52:52.195114 : Epoch  3, Batch    521, Loss  0.614547, Average Loss  0.613337, Time  0.257594
2021-09-15 03:52:52.561713 : Epoch  4, Batch    633, Loss  0.610414, Average Loss  0.609834, Time  0.231381
2021-09-15 03:52:53.226465 : Epoch  1, Batch   1092, Loss  0.873475, Average Loss  0.877206, Time  0.266457
2021-09-15 03:52:53.715945 : Epoch  3, Batch    522, Loss  0.611864, Average Loss  0.613330, Time  0.240097
2021-09-15 03:52:54.103294 : Epoch  4, Batch    634, Loss  0.617175, Average Loss  0.609868, Time  0.232394
2021-09-15 03:52:55.236765 : Epoch  3, Batch    523, Loss  0.607315, Average Loss  0.613222, Time  0.238535
2021-09-15 03:52:55.655706 : Epoch  4, Batch    635, Loss  0.613847, Average Loss  0.609853, Time  0.231916
2021-09-15 03:52:56.234021 : Epoch  1, Batch   1093, Loss  0.870389, Average Loss  0.877217, Time  0.264144
2021-09-15 03:52:56.756033 : Epoch  3, Batch    524, Loss  0.612818, Average Loss  0.613189, Time  0.239084
2021-09-15 03:52:57.206402 : Epoch  4, Batch    636, Loss  0.611513, Average Loss  0.609888, Time  0.231169
2021-09-15 03:52:58.297389 : Epoch  3, Batch    525, Loss  0.608150, Average Loss  0.613130, Time  0.240046
2021-09-15 03:52:58.752635 : Epoch  4, Batch    637, Loss  0.616173, Average Loss  0.609897, Time  0.231438
2021-09-15 03:52:59.229815 : Epoch  1, Batch   1094, Loss  0.886276, Average Loss  0.877261, Time  0.265389
2021-09-15 03:52:59.982908 : Epoch  3, Batch    526, Loss  0.623004, Average Loss  0.613177, Time  0.258965
2021-09-15 03:53:00.304900 : Epoch  4, Batch    638, Loss  0.617800, Average Loss  0.609937, Time  0.232332
2021-09-15 03:53:02.251731 : Epoch  1, Batch   1095, Loss  0.883834, Average Loss  0.877284, Time  0.265627
2021-09-15 03:53:04.136342 : Epoch  4, Batch    639, Loss  0.616384, Average Loss  0.609997, Time  0.250281
2021-09-15 03:53:05.262360 : Epoch  1, Batch   1096, Loss  0.887665, Average Loss  0.877357, Time  0.264298
2021-09-15 03:53:08.280078 : Epoch  1, Batch   1097, Loss  0.871232, Average Loss  0.877342, Time  0.265587
2021-09-15 03:53:11.277019 : Epoch  1, Batch   1098, Loss  0.873619, Average Loss  0.877337, Time  0.264158
2021-09-15 03:53:14.297764 : Epoch  1, Batch   1099, Loss  0.876030, Average Loss  0.877281, Time  0.264753
2021-09-15 03:53:17.295875 : Epoch  1, Batch   1100, Loss  0.875713, Average Loss  0.877265, Time  0.264462
2021-09-15 03:53:58.493722 : CheckPoint: Validation Loss  0.00026342, Best Loss  0.00025447
2021-09-15 03:54:00.029845 : Epoch  3, Batch    527, Loss  0.621616, Average Loss  0.613216, Time  0.240021
2021-09-15 03:54:01.550303 : Epoch  3, Batch    528, Loss  0.603198, Average Loss  0.613123, Time  0.240901
2021-09-15 03:54:01.637392 : CheckPoint: Validation Loss  0.00025128, Best Loss  0.00024882
2021-09-15 03:54:03.076312 : Epoch  3, Batch    529, Loss  0.616501, Average Loss  0.613172, Time  0.239959
2021-09-15 03:54:03.200955 : Epoch  4, Batch    640, Loss  0.606846, Average Loss  0.610022, Time  0.231956
2021-09-15 03:54:04.593807 : Epoch  3, Batch    530, Loss  0.625305, Average Loss  0.613261, Time  0.239299
2021-09-15 03:54:04.752312 : Epoch  4, Batch    641, Loss  0.626320, Average Loss  0.610066, Time  0.231261
2021-09-15 03:54:06.110947 : Epoch  3, Batch    531, Loss  0.627644, Average Loss  0.613338, Time  0.238433
2021-09-15 03:54:06.290850 : Epoch  4, Batch    642, Loss  0.605741, Average Loss  0.610070, Time  0.231062
2021-09-15 03:54:07.623013 : Epoch  3, Batch    532, Loss  0.611188, Average Loss  0.613321, Time  0.236795
2021-09-15 03:54:07.827121 : Epoch  4, Batch    643, Loss  0.606837, Average Loss  0.610088, Time  0.231687
2021-09-15 03:54:09.147415 : Epoch  3, Batch    533, Loss  0.631994, Average Loss  0.613373, Time  0.236778
2021-09-15 03:54:09.381164 : Epoch  4, Batch    644, Loss  0.602622, Average Loss  0.610019, Time  0.231600
2021-09-15 03:54:10.693878 : Epoch  3, Batch    534, Loss  0.612137, Average Loss  0.613334, Time  0.242742
2021-09-15 03:54:10.929043 : Epoch  4, Batch    645, Loss  0.609291, Average Loss  0.610007, Time  0.230894
2021-09-15 03:54:12.227349 : Epoch  3, Batch    535, Loss  0.615681, Average Loss  0.613319, Time  0.239066
2021-09-15 03:54:12.476008 : Epoch  4, Batch    646, Loss  0.626575, Average Loss  0.610083, Time  0.231678
2021-09-15 03:54:13.912053 : Epoch  3, Batch    536, Loss  0.610760, Average Loss  0.613291, Time  0.258518
2021-09-15 03:54:14.029396 : Epoch  4, Batch    647, Loss  0.604055, Average Loss  0.610050, Time  0.232178
2021-09-15 03:54:15.589462 : Epoch  4, Batch    648, Loss  0.597976, Average Loss  0.609989, Time  0.231479
2021-09-15 03:54:15.621825 : Epoch  3, Batch    537, Loss  0.617316, Average Loss  0.613369, Time  0.259707
2021-09-15 03:54:17.145271 : Epoch  4, Batch    649, Loss  0.615128, Average Loss  0.609996, Time  0.231767
2021-09-15 03:54:17.319863 : Epoch  3, Batch    538, Loss  0.615978, Average Loss  0.613411, Time  0.261081
2021-09-15 03:54:18.693858 : Epoch  4, Batch    650, Loss  0.601559, Average Loss  0.609937, Time  0.231327
2021-09-15 03:54:18.996828 : Epoch  3, Batch    539, Loss  0.615297, Average Loss  0.613408, Time  0.258808
2021-09-15 03:54:20.243444 : Epoch  4, Batch    651, Loss  0.617087, Average Loss  0.609966, Time  0.231505
2021-09-15 03:54:20.520772 : Epoch  3, Batch    540, Loss  0.611962, Average Loss  0.613380, Time  0.238530
2021-09-15 03:54:21.800019 : Epoch  4, Batch    652, Loss  0.612977, Average Loss  0.609982, Time  0.231468
2021-09-15 03:54:22.175469 : Epoch  3, Batch    541, Loss  0.617367, Average Loss  0.613410, Time  0.241447
2021-09-15 03:54:23.347167 : Epoch  4, Batch    653, Loss  0.599490, Average Loss  0.609879, Time  0.231500
2021-09-15 03:54:23.697957 : Epoch  3, Batch    542, Loss  0.618397, Average Loss  0.613459, Time  0.239089
2021-09-15 03:54:24.903895 : Epoch  4, Batch    654, Loss  0.606567, Average Loss  0.609873, Time  0.231421
2021-09-15 03:54:25.239359 : Epoch  3, Batch    543, Loss  0.619201, Average Loss  0.613499, Time  0.240858
2021-09-15 03:54:26.452185 : Epoch  4, Batch    655, Loss  0.606980, Average Loss  0.609867, Time  0.232156
2021-09-15 03:54:26.761370 : Epoch  3, Batch    544, Loss  0.621378, Average Loss  0.613480, Time  0.237551
2021-09-15 03:54:28.002578 : Epoch  4, Batch    656, Loss  0.604006, Average Loss  0.609823, Time  0.231133
2021-09-15 03:54:28.288852 : Epoch  3, Batch    545, Loss  0.613354, Average Loss  0.613416, Time  0.240281
2021-09-15 03:54:29.555009 : Epoch  4, Batch    657, Loss  0.610437, Average Loss  0.609833, Time  0.232468
2021-09-15 03:54:29.822260 : Epoch  3, Batch    546, Loss  0.625402, Average Loss  0.613462, Time  0.240232
2021-09-15 03:54:31.105894 : Epoch  4, Batch    658, Loss  0.607077, Average Loss  0.609798, Time  0.231353
2021-09-15 03:54:31.354900 : Epoch  3, Batch    547, Loss  0.615716, Average Loss  0.613533, Time  0.239723
2021-09-15 03:54:32.677589 : Epoch  4, Batch    659, Loss  0.600411, Average Loss  0.609736, Time  0.231112
2021-09-15 03:54:32.872038 : Epoch  3, Batch    548, Loss  0.611083, Average Loss  0.613489, Time  0.238760
2021-09-15 03:54:34.228880 : Epoch  4, Batch    660, Loss  0.610621, Average Loss  0.609782, Time  0.231524
2021-09-15 03:54:34.541365 : Epoch  3, Batch    549, Loss  0.623422, Average Loss  0.613537, Time  0.257795
2021-09-15 03:54:35.779793 : Epoch  4, Batch    661, Loss  0.607735, Average Loss  0.609761, Time  0.231524
2021-09-15 03:54:36.236038 : Epoch  3, Batch    550, Loss  0.607719, Average Loss  0.613516, Time  0.259164
2021-09-15 03:54:37.321325 : Epoch  4, Batch    662, Loss  0.601881, Average Loss  0.609732, Time  0.230695
2021-09-15 03:54:37.916042 : Epoch  3, Batch    551, Loss  0.605454, Average Loss  0.613481, Time  0.259010
2021-09-15 03:54:38.858987 : Epoch  4, Batch    663, Loss  0.617569, Average Loss  0.609749, Time  0.231162
2021-09-15 03:54:39.591373 : Epoch  3, Batch    552, Loss  0.629858, Average Loss  0.613623, Time  0.259236
2021-09-15 03:54:40.413060 : Epoch  4, Batch    664, Loss  0.607140, Average Loss  0.609712, Time  0.231340
2021-09-15 03:54:41.277831 : Epoch  3, Batch    553, Loss  0.613251, Average Loss  0.613608, Time  0.261047
2021-09-15 03:54:41.950343 : Epoch  4, Batch    665, Loss  0.618159, Average Loss  0.609743, Time  0.231946
2021-09-15 03:54:42.972013 : Epoch  3, Batch    554, Loss  0.611721, Average Loss  0.613635, Time  0.258746
2021-09-15 03:54:43.493033 : Epoch  4, Batch    666, Loss  0.607126, Average Loss  0.609766, Time  0.231815
2021-09-15 03:54:44.502813 : Epoch  3, Batch    555, Loss  0.610640, Average Loss  0.613545, Time  0.241008
2021-09-15 03:54:45.036459 : Epoch  4, Batch    667, Loss  0.609082, Average Loss  0.609802, Time  0.231823
2021-09-15 03:54:46.021335 : Epoch  3, Batch    556, Loss  0.609985, Average Loss  0.613575, Time  0.238210
2021-09-15 03:54:46.582560 : Epoch  4, Batch    668, Loss  0.610176, Average Loss  0.609755, Time  0.232807
2021-09-15 03:54:47.552881 : Epoch  3, Batch    557, Loss  0.618347, Average Loss  0.613610, Time  0.243853
2021-09-15 03:54:48.124958 : Epoch  4, Batch    669, Loss  0.617275, Average Loss  0.609807, Time  0.231039
2021-09-15 03:54:49.090404 : Epoch  3, Batch    558, Loss  0.611856, Average Loss  0.613654, Time  0.239402
2021-09-15 03:54:49.683931 : Epoch  4, Batch    670, Loss  0.609733, Average Loss  0.609848, Time  0.231435
2021-09-15 03:54:50.607769 : Epoch  3, Batch    559, Loss  0.614273, Average Loss  0.613666, Time  0.239720
2021-09-15 03:54:51.231406 : Epoch  4, Batch    671, Loss  0.612770, Average Loss  0.609904, Time  0.233438
2021-09-15 03:54:52.128808 : Epoch  3, Batch    560, Loss  0.611001, Average Loss  0.613659, Time  0.239187
2021-09-15 03:54:52.792623 : Epoch  4, Batch    672, Loss  0.616620, Average Loss  0.609923, Time  0.231907
2021-09-15 03:54:53.658334 : Epoch  3, Batch    561, Loss  0.633119, Average Loss  0.613749, Time  0.241542
2021-09-15 03:54:54.378206 : Epoch  4, Batch    673, Loss  0.603303, Average Loss  0.609959, Time  0.235772
2021-09-15 03:54:55.280793 : Epoch  3, Batch    562, Loss  0.618610, Average Loss  0.613791, Time  0.239087
2021-09-15 03:54:55.941587 : Epoch  4, Batch    674, Loss  0.600340, Average Loss  0.609870, Time  0.231313
2021-09-15 03:54:56.877907 : Epoch  3, Batch    563, Loss  0.614727, Average Loss  0.613802, Time  0.242303
2021-09-15 03:54:57.502370 : Epoch  4, Batch    675, Loss  0.605441, Average Loss  0.609815, Time  0.231299
2021-09-15 03:54:58.437397 : Epoch  3, Batch    564, Loss  0.620217, Average Loss  0.613853, Time  0.239097
2021-09-15 03:54:59.077407 : Epoch  4, Batch    676, Loss  0.601447, Average Loss  0.609771, Time  0.231802
2021-09-15 03:54:59.988061 : Epoch  3, Batch    565, Loss  0.615335, Average Loss  0.613875, Time  0.240005
2021-09-15 03:55:00.634800 : Epoch  4, Batch    677, Loss  0.606134, Average Loss  0.609755, Time  0.232083
2021-09-15 03:55:01.523017 : Epoch  3, Batch    566, Loss  0.621197, Average Loss  0.613924, Time  0.239646
2021-09-15 03:55:02.190993 : Epoch  4, Batch    678, Loss  0.612268, Average Loss  0.609843, Time  0.231538
2021-09-15 03:55:03.052817 : Epoch  3, Batch    567, Loss  0.613008, Average Loss  0.613960, Time  0.238875
2021-09-15 03:55:03.767048 : Epoch  4, Batch    679, Loss  0.618266, Average Loss  0.609978, Time  0.234563
2021-09-15 03:55:04.600001 : Epoch  3, Batch    568, Loss  0.608992, Average Loss  0.614021, Time  0.239431
2021-09-15 03:55:05.320049 : Epoch  4, Batch    680, Loss  0.616856, Average Loss  0.609943, Time  0.231528
2021-09-15 03:55:06.125005 : Epoch  3, Batch    569, Loss  0.610093, Average Loss  0.614032, Time  0.239110
2021-09-15 03:55:06.873892 : Epoch  4, Batch    681, Loss  0.613964, Average Loss  0.609956, Time  0.233090
2021-09-15 03:55:07.666399 : Epoch  3, Batch    570, Loss  0.607327, Average Loss  0.613970, Time  0.241504
2021-09-15 03:55:08.422169 : Epoch  4, Batch    682, Loss  0.600640, Average Loss  0.609867, Time  0.231331
2021-09-15 03:55:09.191839 : Epoch  3, Batch    571, Loss  0.611159, Average Loss  0.613993, Time  0.240173
2021-09-15 03:55:09.970927 : Epoch  4, Batch    683, Loss  0.600044, Average Loss  0.609841, Time  0.231108
2021-09-15 03:55:10.732139 : Epoch  3, Batch    572, Loss  0.619018, Average Loss  0.614086, Time  0.239180
2021-09-15 03:55:11.524875 : Epoch  4, Batch    684, Loss  0.595868, Average Loss  0.609794, Time  0.233959
2021-09-15 03:55:12.261330 : Epoch  3, Batch    573, Loss  0.621976, Average Loss  0.614113, Time  0.238709
2021-09-15 03:55:13.079411 : Epoch  4, Batch    685, Loss  0.613275, Average Loss  0.609887, Time  0.231047
2021-09-15 03:55:13.933890 : Epoch  3, Batch    574, Loss  0.613174, Average Loss  0.614104, Time  0.255749
2021-09-15 03:55:14.634398 : Epoch  4, Batch    686, Loss  0.614106, Average Loss  0.609921, Time  0.231904
2021-09-15 03:55:15.609987 : Epoch  3, Batch    575, Loss  0.618884, Average Loss  0.614194, Time  0.257175
2021-09-15 03:55:16.177996 : Epoch  4, Batch    687, Loss  0.600842, Average Loss  0.609856, Time  0.231902
2021-09-15 03:55:17.300043 : Epoch  3, Batch    576, Loss  0.619351, Average Loss  0.614164, Time  0.260498
2021-09-15 03:55:17.727352 : Epoch  4, Batch    688, Loss  0.598542, Average Loss  0.609810, Time  0.231884
2021-09-15 03:55:18.998901 : Epoch  3, Batch    577, Loss  0.613668, Average Loss  0.614147, Time  0.260463
2021-09-15 03:55:19.282164 : Epoch  4, Batch    689, Loss  0.612561, Average Loss  0.609755, Time  0.231714
2021-09-15 03:55:20.689866 : Epoch  3, Batch    578, Loss  0.610597, Average Loss  0.614141, Time  0.261923
2021-09-15 03:55:20.859433 : Epoch  4, Batch    690, Loss  0.609941, Average Loss  0.609722, Time  0.231913
2021-09-15 03:55:22.395234 : Epoch  3, Batch    579, Loss  0.610368, Average Loss  0.614128, Time  0.261145
2021-09-15 03:55:22.433179 : Epoch  4, Batch    691, Loss  0.610480, Average Loss  0.609697, Time  0.233145
2021-09-15 03:55:23.926392 : Epoch  3, Batch    580, Loss  0.622769, Average Loss  0.614168, Time  0.242192
2021-09-15 03:55:23.987226 : Epoch  4, Batch    692, Loss  0.599806, Average Loss  0.609596, Time  0.231947
2021-09-15 03:55:25.464006 : Epoch  3, Batch    581, Loss  0.624642, Average Loss  0.614212, Time  0.242388
2021-09-15 03:55:25.541286 : Epoch  4, Batch    693, Loss  0.601350, Average Loss  0.609587, Time  0.231854
2021-09-15 03:55:27.003604 : Epoch  3, Batch    582, Loss  0.618313, Average Loss  0.614188, Time  0.238937
2021-09-15 03:55:27.098335 : Epoch  4, Batch    694, Loss  0.611468, Average Loss  0.609595, Time  0.231235
2021-09-15 03:55:28.537087 : Epoch  3, Batch    583, Loss  0.621854, Average Loss  0.614213, Time  0.240347
2021-09-15 03:55:28.647371 : Epoch  4, Batch    695, Loss  0.612316, Average Loss  0.609581, Time  0.231283
2021-09-15 03:55:30.184116 : Epoch  4, Batch    696, Loss  0.602668, Average Loss  0.609514, Time  0.230811
2021-09-15 03:55:30.240961 : Epoch  3, Batch    584, Loss  0.601203, Average Loss  0.614110, Time  0.260383
2021-09-15 03:55:31.735414 : Epoch  4, Batch    697, Loss  0.614149, Average Loss  0.609521, Time  0.231282
2021-09-15 03:55:31.784834 : Epoch  3, Batch    585, Loss  0.609499, Average Loss  0.614098, Time  0.241011
2021-09-15 03:55:33.276225 : Epoch  4, Batch    698, Loss  0.613735, Average Loss  0.609521, Time  0.231562
2021-09-15 03:55:33.328250 : Epoch  3, Batch    586, Loss  0.614691, Average Loss  0.614101, Time  0.239924
2021-09-15 03:55:34.818083 : Epoch  4, Batch    699, Loss  0.610435, Average Loss  0.609533, Time  0.231431
2021-09-15 03:55:34.858432 : Epoch  3, Batch    587, Loss  0.617050, Average Loss  0.614113, Time  0.238194
2021-09-15 03:55:36.362407 : Epoch  4, Batch    700, Loss  0.602164, Average Loss  0.609466, Time  0.231185
2021-09-15 03:55:36.406109 : Epoch  3, Batch    588, Loss  0.610944, Average Loss  0.614113, Time  0.240533
2021-09-15 03:55:37.911154 : Epoch  4, Batch    701, Loss  0.604568, Average Loss  0.609473, Time  0.231417
2021-09-15 03:55:37.953189 : Epoch  3, Batch    589, Loss  0.613476, Average Loss  0.614114, Time  0.240401
2021-09-15 03:55:39.498284 : Epoch  4, Batch    702, Loss  0.604186, Average Loss  0.609476, Time  0.237064
2021-09-15 03:55:39.537088 : Epoch  3, Batch    590, Loss  0.601116, Average Loss  0.614039, Time  0.236914
2021-09-15 03:55:41.059026 : Epoch  4, Batch    703, Loss  0.601909, Average Loss  0.609464, Time  0.232534
2021-09-15 03:55:41.092878 : Epoch  3, Batch    591, Loss  0.616136, Average Loss  0.614087, Time  0.240305
2021-09-15 03:55:42.639400 : Epoch  3, Batch    592, Loss  0.622176, Average Loss  0.614115, Time  0.239860
2021-09-15 03:55:42.669618 : Epoch  4, Batch    704, Loss  0.600341, Average Loss  0.609423, Time  0.234340
2021-09-15 03:55:44.243772 : Epoch  4, Batch    705, Loss  0.613155, Average Loss  0.609497, Time  0.232262
2021-09-15 03:55:44.314611 : Epoch  3, Batch    593, Loss  0.621715, Average Loss  0.614135, Time  0.256562
2021-09-15 03:55:45.802288 : Epoch  4, Batch    706, Loss  0.621947, Average Loss  0.609538, Time  0.232114
2021-09-15 03:55:45.841912 : Epoch  3, Batch    594, Loss  0.601352, Average Loss  0.614069, Time  0.238285
2021-09-15 03:55:47.356872 : Epoch  4, Batch    707, Loss  0.612262, Average Loss  0.609559, Time  0.231400
2021-09-15 03:55:47.536849 : Epoch  3, Batch    595, Loss  0.603742, Average Loss  0.613995, Time  0.258544
2021-09-15 03:55:48.914702 : Epoch  4, Batch    708, Loss  0.602684, Average Loss  0.609556, Time  0.232109
2021-09-15 03:55:49.226201 : Epoch  3, Batch    596, Loss  0.615565, Average Loss  0.613990, Time  0.263192
2021-09-15 03:55:50.481653 : Epoch  4, Batch    709, Loss  0.602033, Average Loss  0.609467, Time  0.231789
2021-09-15 03:55:53.233913 : Epoch  3, Batch    597, Loss  0.620037, Average Loss  0.613994, Time  0.275714
2021-09-15 03:55:54.544026 : Epoch  4, Batch    710, Loss  0.610339, Average Loss  0.609398, Time  0.251985
2021-09-15 03:55:54.910377 : Epoch  3, Batch    598, Loss  0.602421, Average Loss  0.613872, Time  0.240282
2021-09-15 03:55:56.089163 : Epoch  4, Batch    711, Loss  0.600048, Average Loss  0.609340, Time  0.232139
2021-09-15 03:55:56.578958 : Epoch  3, Batch    599, Loss  0.617983, Average Loss  0.613891, Time  0.257269
2021-09-15 03:55:57.648791 : Epoch  4, Batch    712, Loss  0.619752, Average Loss  0.609401, Time  0.233878
2021-09-15 03:55:58.204411 : Epoch  3, Batch    600, Loss  0.616098, Average Loss  0.613903, Time  0.258743
2021-09-15 03:55:59.213615 : Epoch  4, Batch    713, Loss  0.616573, Average Loss  0.609452, Time  0.232037
2021-09-15 03:55:59.899056 : Epoch  3, Batch    601, Loss  0.613264, Average Loss  0.613855, Time  0.263386
2021-09-15 03:56:00.789328 : Epoch  4, Batch    714, Loss  0.611411, Average Loss  0.609479, Time  0.232353
2021-09-15 03:56:01.588822 : Epoch  3, Batch    602, Loss  0.609206, Average Loss  0.613868, Time  0.258216
2021-09-15 03:56:02.356678 : Epoch  4, Batch    715, Loss  0.607460, Average Loss  0.609489, Time  0.231395
2021-09-15 03:56:03.121082 : Epoch  3, Batch    603, Loss  0.611034, Average Loss  0.613833, Time  0.237895
2021-09-15 03:56:03.921417 : Epoch  4, Batch    716, Loss  0.612230, Average Loss  0.609471, Time  0.232048
2021-09-15 03:56:04.645293 : Epoch  3, Batch    604, Loss  0.618290, Average Loss  0.613899, Time  0.238031
2021-09-15 03:56:05.481413 : Epoch  4, Batch    717, Loss  0.626240, Average Loss  0.609532, Time  0.231740
2021-09-15 03:56:06.186608 : Epoch  3, Batch    605, Loss  0.609821, Average Loss  0.613914, Time  0.239677
2021-09-15 03:56:07.032813 : Epoch  4, Batch    718, Loss  0.594135, Average Loss  0.609459, Time  0.231421
2021-09-15 03:56:07.713384 : Epoch  3, Batch    606, Loss  0.617965, Average Loss  0.613904, Time  0.239482
2021-09-15 03:56:08.577371 : Epoch  4, Batch    719, Loss  0.599075, Average Loss  0.609395, Time  0.230994
2021-09-15 03:56:09.236593 : Epoch  3, Batch    607, Loss  0.616477, Average Loss  0.613933, Time  0.238089
2021-09-15 03:56:10.124083 : Epoch  4, Batch    720, Loss  0.609317, Average Loss  0.609399, Time  0.232053
2021-09-15 03:56:10.767129 : Epoch  3, Batch    608, Loss  0.621273, Average Loss  0.613968, Time  0.242327
2021-09-15 03:56:11.682684 : Epoch  4, Batch    721, Loss  0.605744, Average Loss  0.609339, Time  0.231393
2021-09-15 03:56:12.302458 : Epoch  3, Batch    609, Loss  0.611417, Average Loss  0.613992, Time  0.239261
2021-09-15 03:56:13.238376 : Epoch  4, Batch    722, Loss  0.603898, Average Loss  0.609423, Time  0.232250
2021-09-15 03:56:13.820369 : Epoch  3, Batch    610, Loss  0.605583, Average Loss  0.613974, Time  0.239136
2021-09-15 03:56:14.799973 : Epoch  4, Batch    723, Loss  0.600425, Average Loss  0.609395, Time  0.231554
2021-09-15 03:56:15.341900 : Epoch  3, Batch    611, Loss  0.614422, Average Loss  0.614000, Time  0.237889
2021-09-15 03:56:16.360714 : Epoch  4, Batch    724, Loss  0.613754, Average Loss  0.609380, Time  0.231463
2021-09-15 03:56:16.877416 : Epoch  3, Batch    612, Loss  0.615325, Average Loss  0.613958, Time  0.243311
2021-09-15 03:56:17.914127 : Epoch  4, Batch    725, Loss  0.624376, Average Loss  0.609500, Time  0.231392
2021-09-15 03:56:18.420907 : Epoch  3, Batch    613, Loss  0.600607, Average Loss  0.613887, Time  0.241437
2021-09-15 03:56:19.460686 : Epoch  4, Batch    726, Loss  0.613628, Average Loss  0.609554, Time  0.231042
2021-09-15 03:56:19.984317 : Epoch  3, Batch    614, Loss  0.608995, Average Loss  0.613868, Time  0.239870
2021-09-15 03:56:21.016180 : Epoch  4, Batch    727, Loss  0.607014, Average Loss  0.609569, Time  0.231678
2021-09-15 03:56:21.514031 : Epoch  3, Batch    615, Loss  0.599726, Average Loss  0.613811, Time  0.241507
2021-09-15 03:56:22.572356 : Epoch  4, Batch    728, Loss  0.612584, Average Loss  0.609575, Time  0.231229
2021-09-15 03:56:23.055405 : Epoch  3, Batch    616, Loss  0.605659, Average Loss  0.613791, Time  0.240767
2021-09-15 03:56:24.138642 : Epoch  4, Batch    729, Loss  0.611643, Average Loss  0.609585, Time  0.231410
2021-09-15 03:56:24.575962 : Epoch  3, Batch    617, Loss  0.609456, Average Loss  0.613751, Time  0.240834
2021-09-15 03:56:25.696223 : Epoch  4, Batch    730, Loss  0.604527, Average Loss  0.609561, Time  0.231859
2021-09-15 03:56:26.106402 : Epoch  3, Batch    618, Loss  0.603671, Average Loss  0.613730, Time  0.241083
2021-09-15 03:56:27.253728 : Epoch  4, Batch    731, Loss  0.614070, Average Loss  0.609587, Time  0.232214
2021-09-15 03:56:27.643019 : Epoch  3, Batch    619, Loss  0.609851, Average Loss  0.613749, Time  0.243056
2021-09-15 03:56:28.821096 : Epoch  4, Batch    732, Loss  0.619044, Average Loss  0.609605, Time  0.231340
2021-09-15 03:56:29.170818 : Epoch  3, Batch    620, Loss  0.600509, Average Loss  0.613689, Time  0.240626
2021-09-15 03:56:30.373599 : Epoch  4, Batch    733, Loss  0.604028, Average Loss  0.609574, Time  0.231998
2021-09-15 03:56:30.715995 : Epoch  3, Batch    621, Loss  0.609524, Average Loss  0.613662, Time  0.240309
2021-09-15 03:56:31.925111 : Epoch  4, Batch    734, Loss  0.586710, Average Loss  0.609446, Time  0.231761
2021-09-15 03:56:32.256962 : Epoch  3, Batch    622, Loss  0.620544, Average Loss  0.613627, Time  0.242685
2021-09-15 03:56:33.484044 : Epoch  4, Batch    735, Loss  0.610792, Average Loss  0.609446, Time  0.231448
2021-09-15 03:56:33.805905 : Epoch  3, Batch    623, Loss  0.618226, Average Loss  0.613641, Time  0.245131
2021-09-15 03:56:35.030266 : Epoch  4, Batch    736, Loss  0.612442, Average Loss  0.609437, Time  0.231221
2021-09-15 03:56:35.363384 : Epoch  3, Batch    624, Loss  0.627860, Average Loss  0.613744, Time  0.238281
2021-09-15 03:56:36.583468 : Epoch  4, Batch    737, Loss  0.608621, Average Loss  0.609426, Time  0.231786
2021-09-15 03:56:36.886810 : Epoch  3, Batch    625, Loss  0.610868, Average Loss  0.613742, Time  0.240921
2021-09-15 03:56:38.137012 : Epoch  4, Batch    738, Loss  0.613037, Average Loss  0.609502, Time  0.232174
2021-09-15 03:56:38.426011 : Epoch  3, Batch    626, Loss  0.604566, Average Loss  0.613733, Time  0.243453
2021-09-15 03:56:39.687981 : Epoch  4, Batch    739, Loss  0.604256, Average Loss  0.609475, Time  0.231446
2021-09-15 03:57:35.577804 : CheckPoint: Validation Loss  0.00025424, Best Loss  0.00025424
2021-09-15 03:57:35.613562 : Best Model Updated
2021-09-15 03:57:37.529016 : CheckPoint: Validation Loss  0.00025485, Best Loss  0.00024882
2021-09-15 03:57:37.983980 : Epoch  3, Batch    627, Loss  0.618270, Average Loss  0.613791, Time  0.240409
2021-09-15 03:57:39.107259 : Epoch  4, Batch    740, Loss  0.603075, Average Loss  0.609479, Time  0.233288
2021-09-15 03:57:39.495846 : Epoch  3, Batch    628, Loss  0.610034, Average Loss  0.613791, Time  0.239476
2021-09-15 03:57:40.662365 : Epoch  4, Batch    741, Loss  0.607917, Average Loss  0.609494, Time  0.231162
2021-09-15 03:57:41.016332 : Epoch  3, Batch    629, Loss  0.609614, Average Loss  0.613792, Time  0.240556
2021-09-15 03:57:42.230018 : Epoch  4, Batch    742, Loss  0.616637, Average Loss  0.609526, Time  0.231568
2021-09-15 03:57:42.546831 : Epoch  3, Batch    630, Loss  0.618599, Average Loss  0.613889, Time  0.243001
2021-09-15 03:57:43.781379 : Epoch  4, Batch    743, Loss  0.610128, Average Loss  0.609538, Time  0.232367
2021-09-15 03:57:44.067526 : Epoch  3, Batch    631, Loss  0.622599, Average Loss  0.613989, Time  0.240219
2021-09-15 03:57:45.333232 : Epoch  4, Batch    744, Loss  0.610950, Average Loss  0.609584, Time  0.231461
2021-09-15 03:57:45.589365 : Epoch  3, Batch    632, Loss  0.614344, Average Loss  0.614004, Time  0.239845
2021-09-15 03:57:46.892423 : Epoch  4, Batch    745, Loss  0.618379, Average Loss  0.609675, Time  0.231882
2021-09-15 03:57:47.109929 : Epoch  3, Batch    633, Loss  0.599542, Average Loss  0.613963, Time  0.238864
2021-09-15 03:57:48.451346 : Epoch  4, Batch    746, Loss  0.609946, Average Loss  0.609648, Time  0.231243
2021-09-15 03:57:48.636108 : Epoch  3, Batch    634, Loss  0.616385, Average Loss  0.613991, Time  0.239998
2021-09-15 03:57:50.015686 : Epoch  4, Batch    747, Loss  0.603831, Average Loss  0.609601, Time  0.231370
2021-09-15 03:57:50.167389 : Epoch  3, Batch    635, Loss  0.613565, Average Loss  0.613957, Time  0.243756
2021-09-15 03:57:51.585355 : Epoch  4, Batch    748, Loss  0.615552, Average Loss  0.609629, Time  0.231324
2021-09-15 03:57:51.686816 : Epoch  3, Batch    636, Loss  0.604998, Average Loss  0.613895, Time  0.239660
2021-09-15 03:57:53.135576 : Epoch  4, Batch    749, Loss  0.599999, Average Loss  0.609585, Time  0.231581
2021-09-15 03:57:53.202984 : Epoch  3, Batch    637, Loss  0.614425, Average Loss  0.613851, Time  0.239907
2021-09-15 03:57:54.691947 : Epoch  4, Batch    750, Loss  0.598850, Average Loss  0.609588, Time  0.231221
2021-09-15 03:57:54.735445 : Epoch  3, Batch    638, Loss  0.618383, Average Loss  0.613920, Time  0.240495
2021-09-15 03:57:56.248291 : Epoch  4, Batch    751, Loss  0.597870, Average Loss  0.609547, Time  0.231257
2021-09-15 03:57:56.273702 : Epoch  3, Batch    639, Loss  0.618645, Average Loss  0.613938, Time  0.240392
2021-09-15 03:57:57.795268 : Epoch  4, Batch    752, Loss  0.598925, Average Loss  0.609535, Time  0.231764
2021-09-15 03:57:57.822694 : Epoch  3, Batch    640, Loss  0.606040, Average Loss  0.613841, Time  0.238472
2021-09-15 03:57:59.339624 : Epoch  4, Batch    753, Loss  0.602542, Average Loss  0.609499, Time  0.231248
2021-09-15 03:57:59.504439 : Epoch  3, Batch    641, Loss  0.598634, Average Loss  0.613756, Time  0.257524
2021-09-15 03:57:59.753918 : CheckPoint: Validation Loss  0.00030236, Best Loss  0.00029960
2021-09-15 03:58:00.895089 : Epoch  4, Batch    754, Loss  0.617620, Average Loss  0.609555, Time  0.232075
2021-09-15 03:58:01.046925 : Epoch  3, Batch    642, Loss  0.604166, Average Loss  0.613661, Time  0.241156
2021-09-15 03:58:02.454365 : Epoch  4, Batch    755, Loss  0.604949, Average Loss  0.609548, Time  0.232609
2021-09-15 03:58:02.565814 : Epoch  3, Batch    643, Loss  0.605049, Average Loss  0.613605, Time  0.238693
2021-09-15 03:58:02.797248 : Epoch  1, Batch   1101, Loss  0.891076, Average Loss  0.877390, Time  0.267820
2021-09-15 03:58:04.006139 : Epoch  4, Batch    756, Loss  0.620903, Average Loss  0.609655, Time  0.231271
2021-09-15 03:58:04.087836 : Epoch  3, Batch    644, Loss  0.616310, Average Loss  0.613604, Time  0.240877
2021-09-15 03:58:05.557038 : Epoch  4, Batch    757, Loss  0.609756, Average Loss  0.609692, Time  0.230983
2021-09-15 03:58:05.631057 : Epoch  3, Batch    645, Loss  0.609375, Average Loss  0.613595, Time  0.242174
2021-09-15 03:58:05.837151 : Epoch  1, Batch   1102, Loss  0.862188, Average Loss  0.877232, Time  0.264063
2021-09-15 03:58:07.108073 : Epoch  4, Batch    758, Loss  0.626896, Average Loss  0.609807, Time  0.231616
2021-09-15 03:58:07.174868 : Epoch  3, Batch    646, Loss  0.614743, Average Loss  0.613563, Time  0.240291
2021-09-15 03:58:08.660343 : Epoch  4, Batch    759, Loss  0.600041, Average Loss  0.609771, Time  0.230944
2021-09-15 03:58:08.717402 : Epoch  3, Batch    647, Loss  0.613081, Average Loss  0.613542, Time  0.241864
2021-09-15 03:58:08.818566 : Epoch  1, Batch   1103, Loss  0.859440, Average Loss  0.877082, Time  0.265064
2021-09-15 03:58:10.218193 : Epoch  4, Batch    760, Loss  0.601393, Average Loss  0.609756, Time  0.231343
2021-09-15 03:58:10.265049 : Epoch  3, Batch    648, Loss  0.601490, Average Loss  0.613459, Time  0.243695
2021-09-15 03:58:11.772788 : Epoch  4, Batch    761, Loss  0.601049, Average Loss  0.609662, Time  0.231916
2021-09-15 03:58:11.811505 : Epoch  1, Batch   1104, Loss  0.850013, Average Loss  0.876770, Time  0.264249
2021-09-15 03:58:11.813899 : Epoch  3, Batch    649, Loss  0.618770, Average Loss  0.613458, Time  0.243446
2021-09-15 03:58:13.317054 : Epoch  4, Batch    762, Loss  0.612795, Average Loss  0.609631, Time  0.231611
2021-09-15 03:58:13.373824 : Epoch  3, Batch    650, Loss  0.617346, Average Loss  0.613479, Time  0.239141
2021-09-15 03:58:14.804821 : Epoch  1, Batch   1105, Loss  0.877307, Average Loss  0.876882, Time  0.264073
2021-09-15 03:58:14.863923 : Epoch  4, Batch    763, Loss  0.606022, Average Loss  0.609653, Time  0.231344
2021-09-15 03:58:14.916259 : Epoch  3, Batch    651, Loss  0.619204, Average Loss  0.613537, Time  0.238788
2021-09-15 03:58:16.435240 : Epoch  4, Batch    764, Loss  0.593071, Average Loss  0.609553, Time  0.232406
2021-09-15 03:58:16.470188 : Epoch  3, Batch    652, Loss  0.609312, Average Loss  0.613510, Time  0.241228
2021-09-15 03:58:17.797221 : Epoch  1, Batch   1106, Loss  0.893117, Average Loss  0.876906, Time  0.264742
2021-09-15 03:58:17.982096 : Epoch  4, Batch    765, Loss  0.610605, Average Loss  0.609481, Time  0.231474
2021-09-15 03:58:18.008048 : Epoch  3, Batch    653, Loss  0.605166, Average Loss  0.613481, Time  0.241492
2021-09-15 03:58:19.522824 : Epoch  4, Batch    766, Loss  0.614070, Average Loss  0.609479, Time  0.232397
2021-09-15 03:58:19.557384 : Epoch  3, Batch    654, Loss  0.617233, Average Loss  0.613558, Time  0.239083
2021-09-15 03:58:20.806883 : Epoch  1, Batch   1107, Loss  0.882854, Average Loss  0.876977, Time  0.265882
2021-09-15 03:58:21.068067 : Epoch  4, Batch    767, Loss  0.610401, Average Loss  0.609431, Time  0.231320
2021-09-15 03:58:21.103040 : Epoch  3, Batch    655, Loss  0.610291, Average Loss  0.613580, Time  0.239667
2021-09-15 03:58:22.612791 : Epoch  4, Batch    768, Loss  0.603840, Average Loss  0.609394, Time  0.231614
2021-09-15 03:58:22.653826 : Epoch  3, Batch    656, Loss  0.620928, Average Loss  0.613678, Time  0.240595
2021-09-15 03:58:23.809998 : Epoch  1, Batch   1108, Loss  0.876563, Average Loss  0.876919, Time  0.266691
2021-09-15 03:58:24.164774 : Epoch  4, Batch    769, Loss  0.597534, Average Loss  0.609289, Time  0.231161
2021-09-15 03:58:24.194861 : Epoch  3, Batch    657, Loss  0.605791, Average Loss  0.613646, Time  0.241986
2021-09-15 03:58:25.705956 : Epoch  4, Batch    770, Loss  0.593465, Average Loss  0.609191, Time  0.231183
2021-09-15 03:58:25.744426 : Epoch  3, Batch    658, Loss  0.609242, Average Loss  0.613627, Time  0.242046
2021-09-15 03:58:26.831121 : Epoch  1, Batch   1109, Loss  0.849550, Average Loss  0.876800, Time  0.265745
2021-09-15 03:58:27.254868 : Epoch  4, Batch    771, Loss  0.610060, Average Loss  0.609182, Time  0.231412
2021-09-15 03:58:27.293424 : Epoch  3, Batch    659, Loss  0.611092, Average Loss  0.613600, Time  0.241122
2021-09-15 03:58:28.808051 : Epoch  4, Batch    772, Loss  0.611012, Average Loss  0.609203, Time  0.231346
2021-09-15 03:58:28.842010 : Epoch  3, Batch    660, Loss  0.619464, Average Loss  0.613651, Time  0.242312
2021-09-15 03:58:29.842610 : Epoch  1, Batch   1110, Loss  0.848484, Average Loss  0.876691, Time  0.265444
2021-09-15 03:58:30.349144 : Epoch  4, Batch    773, Loss  0.598630, Average Loss  0.609145, Time  0.231031
2021-09-15 03:58:30.380790 : Epoch  3, Batch    661, Loss  0.619500, Average Loss  0.613722, Time  0.240860
2021-09-15 03:58:31.890876 : Epoch  4, Batch    774, Loss  0.624126, Average Loss  0.609213, Time  0.231589
2021-09-15 03:58:31.921061 : Epoch  3, Batch    662, Loss  0.629070, Average Loss  0.613790, Time  0.240882
2021-09-15 03:58:32.832416 : Epoch  1, Batch   1111, Loss  0.880887, Average Loss  0.876696, Time  0.266089
2021-09-15 03:58:33.444864 : Epoch  4, Batch    775, Loss  0.610768, Average Loss  0.609211, Time  0.232386
2021-09-15 03:58:33.479103 : Epoch  3, Batch    663, Loss  0.602181, Average Loss  0.613697, Time  0.240485
2021-09-15 03:58:35.002149 : Epoch  4, Batch    776, Loss  0.615672, Average Loss  0.609248, Time  0.231614
2021-09-15 03:58:35.173825 : Epoch  3, Batch    664, Loss  0.608353, Average Loss  0.613674, Time  0.258331
2021-09-15 03:58:35.862248 : Epoch  1, Batch   1112, Loss  0.886158, Average Loss  0.876678, Time  0.264482
2021-09-15 03:58:36.560370 : Epoch  4, Batch    777, Loss  0.610359, Average Loss  0.609271, Time  0.232574
2021-09-15 03:58:36.849796 : Epoch  3, Batch    665, Loss  0.611441, Average Loss  0.613675, Time  0.257421
2021-09-15 03:58:38.115374 : Epoch  4, Batch    778, Loss  0.602292, Average Loss  0.609183, Time  0.231646
2021-09-15 03:58:38.366861 : Epoch  3, Batch    666, Loss  0.615072, Average Loss  0.613668, Time  0.239893
2021-09-15 03:58:38.875823 : Epoch  1, Batch   1113, Loss  0.884007, Average Loss  0.876780, Time  0.276535
2021-09-15 03:58:39.669315 : Epoch  4, Batch    779, Loss  0.605280, Average Loss  0.609196, Time  0.231404
2021-09-15 03:58:39.909889 : Epoch  3, Batch    667, Loss  0.614818, Average Loss  0.613626, Time  0.240190
2021-09-15 03:58:41.237511 : Epoch  4, Batch    780, Loss  0.601646, Average Loss  0.609162, Time  0.231540
2021-09-15 03:58:41.432357 : Epoch  3, Batch    668, Loss  0.608882, Average Loss  0.613594, Time  0.237131
2021-09-15 03:58:41.913826 : Epoch  1, Batch   1114, Loss  0.885498, Average Loss  0.876909, Time  0.266125
2021-09-15 03:58:42.790867 : Epoch  4, Batch    781, Loss  0.605711, Average Loss  0.609124, Time  0.231274
2021-09-15 03:58:42.952960 : Epoch  3, Batch    669, Loss  0.617101, Average Loss  0.613629, Time  0.238661
2021-09-15 03:58:44.349344 : Epoch  4, Batch    782, Loss  0.609846, Average Loss  0.609136, Time  0.232129
2021-09-15 03:58:44.469396 : Epoch  3, Batch    670, Loss  0.619480, Average Loss  0.613695, Time  0.240733
2021-09-15 03:58:44.919075 : Epoch  1, Batch   1115, Loss  0.906130, Average Loss  0.877058, Time  0.265876
2021-09-15 03:58:45.909392 : Epoch  4, Batch    783, Loss  0.598731, Average Loss  0.609038, Time  0.231244
2021-09-15 03:58:46.006099 : Epoch  3, Batch    671, Loss  0.610404, Average Loss  0.613715, Time  0.238609
2021-09-15 03:58:47.457048 : Epoch  4, Batch    784, Loss  0.609889, Average Loss  0.609030, Time  0.231453
2021-09-15 03:58:47.535512 : Epoch  3, Batch    672, Loss  0.619159, Average Loss  0.613815, Time  0.241904
2021-09-15 03:58:47.912889 : Epoch  1, Batch   1116, Loss  0.882427, Average Loss  0.877067, Time  0.266554
2021-09-15 03:58:49.009989 : Epoch  4, Batch    785, Loss  0.606141, Average Loss  0.608978, Time  0.232653
2021-09-15 03:58:49.066962 : Epoch  3, Batch    673, Loss  0.608595, Average Loss  0.613770, Time  0.238205
2021-09-15 03:58:50.566362 : Epoch  4, Batch    786, Loss  0.593705, Average Loss  0.608863, Time  0.231412
2021-09-15 03:58:50.602003 : Epoch  3, Batch    674, Loss  0.601481, Average Loss  0.613644, Time  0.237259
2021-09-15 03:58:50.926761 : Epoch  1, Batch   1117, Loss  0.878892, Average Loss  0.877026, Time  0.263322
2021-09-15 03:58:52.117967 : Epoch  4, Batch    787, Loss  0.616997, Average Loss  0.608951, Time  0.232303
2021-09-15 03:58:52.152580 : Saving Model after 4-th Epoch.
2021-09-15 03:58:52.186980 : Epoch  3, Batch    675, Loss  0.608508, Average Loss  0.613640, Time  0.241735
2021-09-15 03:58:53.060902 : Epoch Finished.
2021-09-15 03:58:53.728817 : Epoch  3, Batch    676, Loss  0.615427, Average Loss  0.613670, Time  0.238645
2021-09-15 03:58:53.937001 : Epoch  1, Batch   1118, Loss  0.879742, Average Loss  0.876958, Time  0.265633
2021-09-15 03:58:55.411094 : Epoch  3, Batch    677, Loss  0.610905, Average Loss  0.613604, Time  0.257329
2021-09-15 03:58:55.473596 : Batch Shuffled
2021-09-15 03:58:56.940797 : Epoch  3, Batch    678, Loss  0.622318, Average Loss  0.613663, Time  0.241267
2021-09-15 03:58:56.972983 : Epoch  1, Batch   1119, Loss  0.883462, Average Loss  0.877112, Time  0.265649
2021-09-15 03:58:57.056350 : Epoch  5, Batch      1, Loss  0.606117, Average Loss  0.608903, Time  0.270320
2021-09-15 03:58:58.481139 : Epoch  3, Batch    679, Loss  0.606189, Average Loss  0.613654, Time  0.240240
2021-09-15 03:58:58.629559 : Epoch  5, Batch      2, Loss  0.597766, Average Loss  0.608814, Time  0.246329
2021-09-15 03:58:59.982268 : Epoch  1, Batch   1120, Loss  0.894884, Average Loss  0.877168, Time  0.264349
2021-09-15 03:59:00.006986 : Epoch  3, Batch    680, Loss  0.619914, Average Loss  0.613637, Time  0.238341
2021-09-15 03:59:00.167361 : Epoch  5, Batch      3, Loss  0.606558, Average Loss  0.608795, Time  0.232102
2021-09-15 03:59:01.537319 : Epoch  3, Batch    681, Loss  0.595364, Average Loss  0.613603, Time  0.237460
2021-09-15 03:59:01.725566 : Epoch  5, Batch      4, Loss  0.610641, Average Loss  0.608783, Time  0.232080
2021-09-15 03:59:02.989450 : Epoch  1, Batch   1121, Loss  0.873276, Average Loss  0.877135, Time  0.266225
2021-09-15 03:59:03.084101 : Epoch  3, Batch    682, Loss  0.626879, Average Loss  0.613681, Time  0.241089
2021-09-15 03:59:03.275543 : Epoch  5, Batch      5, Loss  0.611079, Average Loss  0.608744, Time  0.231382
2021-09-15 03:59:04.788912 : Epoch  3, Batch    683, Loss  0.611375, Average Loss  0.613674, Time  0.261783
2021-09-15 03:59:04.839070 : Epoch  5, Batch      6, Loss  0.616869, Average Loss  0.608749, Time  0.231434
2021-09-15 03:59:05.983158 : Epoch  1, Batch   1122, Loss  0.887303, Average Loss  0.877288, Time  0.265411
2021-09-15 03:59:06.382813 : Epoch  5, Batch      7, Loss  0.613860, Average Loss  0.608758, Time  0.232129
2021-09-15 03:59:06.489966 : Epoch  3, Batch    684, Loss  0.619717, Average Loss  0.613704, Time  0.261548
2021-09-15 03:59:07.914194 : Epoch  5, Batch      8, Loss  0.607170, Average Loss  0.608766, Time  0.232625
2021-09-15 03:59:08.167912 : Epoch  3, Batch    685, Loss  0.616550, Average Loss  0.613773, Time  0.258268
2021-09-15 03:59:08.989044 : Epoch  1, Batch   1123, Loss  0.860160, Average Loss  0.877159, Time  0.265060
2021-09-15 03:59:09.457819 : Epoch  5, Batch      9, Loss  0.601929, Average Loss  0.608719, Time  0.230953
2021-09-15 03:59:09.834011 : Epoch  3, Batch    686, Loss  0.613891, Average Loss  0.613751, Time  0.257898
2021-09-15 03:59:10.989042 : Epoch  5, Batch     10, Loss  0.604248, Average Loss  0.608646, Time  0.231967
2021-09-15 03:59:11.361926 : Epoch  3, Batch    687, Loss  0.614278, Average Loss  0.613776, Time  0.239487
2021-09-15 03:59:11.986674 : Epoch  1, Batch   1124, Loss  0.871570, Average Loss  0.877161, Time  0.265216
2021-09-15 03:59:12.530867 : Epoch  5, Batch     11, Loss  0.614987, Average Loss  0.608665, Time  0.231333
2021-09-15 03:59:12.879059 : Epoch  3, Batch    688, Loss  0.622574, Average Loss  0.613813, Time  0.240003
2021-09-15 03:59:14.079069 : Epoch  5, Batch     12, Loss  0.604511, Average Loss  0.608695, Time  0.232398
2021-09-15 03:59:14.422050 : Epoch  3, Batch    689, Loss  0.612117, Average Loss  0.613798, Time  0.242019
2021-09-15 03:59:14.982045 : Epoch  1, Batch   1125, Loss  0.891908, Average Loss  0.877220, Time  0.265129
2021-09-15 03:59:15.624399 : Epoch  5, Batch     13, Loss  0.610792, Average Loss  0.608686, Time  0.231228
2021-09-15 03:59:15.945352 : Epoch  3, Batch    690, Loss  0.622814, Average Loss  0.613812, Time  0.242276
2021-09-15 03:59:17.168694 : Epoch  5, Batch     14, Loss  0.606933, Average Loss  0.608704, Time  0.231057
2021-09-15 03:59:17.450211 : Epoch  3, Batch    691, Loss  0.624272, Average Loss  0.613926, Time  0.238217
2021-09-15 03:59:17.975257 : Epoch  1, Batch   1126, Loss  0.875462, Average Loss  0.877124, Time  0.264738
2021-09-15 03:59:18.713705 : Epoch  5, Batch     15, Loss  0.615196, Average Loss  0.608691, Time  0.231503
2021-09-15 03:59:19.132717 : Epoch  3, Batch    692, Loss  0.606640, Average Loss  0.613918, Time  0.259936
2021-09-15 03:59:20.262242 : Epoch  5, Batch     16, Loss  0.600047, Average Loss  0.608612, Time  0.231246
2021-09-15 03:59:20.662284 : Epoch  3, Batch    693, Loss  0.609724, Average Loss  0.613911, Time  0.238572
2021-09-15 03:59:20.949329 : Epoch  1, Batch   1127, Loss  0.882515, Average Loss  0.877170, Time  0.266603
2021-09-15 03:59:21.814115 : Epoch  5, Batch     17, Loss  0.622521, Average Loss  0.608715, Time  0.231824
2021-09-15 03:59:22.319406 : Epoch  3, Batch    694, Loss  0.620277, Average Loss  0.613945, Time  0.257549
2021-09-15 03:59:23.352586 : Epoch  5, Batch     18, Loss  0.603278, Average Loss  0.608702, Time  0.231364
2021-09-15 03:59:23.954183 : Epoch  1, Batch   1128, Loss  0.894446, Average Loss  0.877248, Time  0.277061
2021-09-15 03:59:23.992999 : Epoch  3, Batch    695, Loss  0.610647, Average Loss  0.613978, Time  0.261096
2021-09-15 03:59:24.893255 : Epoch  5, Batch     19, Loss  0.610873, Average Loss  0.608723, Time  0.231587
2021-09-15 03:59:25.666531 : Epoch  3, Batch    696, Loss  0.616968, Average Loss  0.614075, Time  0.261762
2021-09-15 03:59:26.437372 : Epoch  5, Batch     20, Loss  0.605100, Average Loss  0.608622, Time  0.231508
2021-09-15 03:59:26.964594 : Epoch  1, Batch   1129, Loss  0.874498, Average Loss  0.877292, Time  0.266418
2021-09-15 03:59:27.984257 : Epoch  5, Batch     21, Loss  0.611355, Average Loss  0.608559, Time  0.231772
2021-09-15 03:59:29.525063 : Epoch  5, Batch     22, Loss  0.612371, Average Loss  0.608569, Time  0.231444
2021-09-15 03:59:29.712272 : Epoch  3, Batch    697, Loss  0.623998, Average Loss  0.614078, Time  0.292004
2021-09-15 03:59:30.007116 : Epoch  1, Batch   1130, Loss  0.876994, Average Loss  0.877279, Time  0.265396
2021-09-15 03:59:31.069351 : Epoch  5, Batch     23, Loss  0.603336, Average Loss  0.608560, Time  0.232858
2021-09-15 03:59:31.267451 : Epoch  3, Batch    698, Loss  0.609047, Average Loss  0.614065, Time  0.253529
2021-09-15 03:59:32.620561 : Epoch  5, Batch     24, Loss  0.613163, Average Loss  0.608607, Time  0.231153
2021-09-15 03:59:32.783797 : Epoch  3, Batch    699, Loss  0.601669, Average Loss  0.614055, Time  0.237828
2021-09-15 03:59:32.983624 : Epoch  1, Batch   1131, Loss  0.883303, Average Loss  0.877351, Time  0.265305
2021-09-15 03:59:34.171125 : Epoch  5, Batch     25, Loss  0.610517, Average Loss  0.608592, Time  0.232249
2021-09-15 03:59:34.299048 : Epoch  3, Batch    700, Loss  0.609220, Average Loss  0.614682, Time  0.238451
2021-09-15 03:59:35.718637 : Epoch  5, Batch     26, Loss  0.616302, Average Loss  0.608608, Time  0.231277
2021-09-15 03:59:35.819674 : Epoch  3, Batch    701, Loss  0.603108, Average Loss  0.614637, Time  0.241605
2021-09-15 03:59:35.961547 : Epoch  1, Batch   1132, Loss  0.869191, Average Loss  0.877301, Time  0.264649
2021-09-15 03:59:37.288000 : Epoch  5, Batch     27, Loss  0.602123, Average Loss  0.608545, Time  0.232699
2021-09-15 03:59:37.339230 : Epoch  3, Batch    702, Loss  0.607933, Average Loss  0.614553, Time  0.240948
2021-09-15 03:59:38.838636 : Epoch  5, Batch     28, Loss  0.602542, Average Loss  0.608515, Time  0.231122
2021-09-15 03:59:38.873029 : Epoch  3, Batch    703, Loss  0.612382, Average Loss  0.614417, Time  0.238090
2021-09-15 03:59:38.939063 : Epoch  1, Batch   1133, Loss  0.872498, Average Loss  0.877385, Time  0.265132
2021-09-15 03:59:40.378045 : Epoch  3, Batch    704, Loss  0.616291, Average Loss  0.614436, Time  0.237845
2021-09-15 03:59:40.428026 : Epoch  5, Batch     29, Loss  0.604876, Average Loss  0.608514, Time  0.231330
2021-09-15 03:59:41.923083 : Epoch  3, Batch    705, Loss  0.612290, Average Loss  0.614377, Time  0.239101
2021-09-15 03:59:41.940178 : Epoch  1, Batch   1134, Loss  0.872656, Average Loss  0.877460, Time  0.264705
2021-09-15 03:59:41.964356 : Epoch  5, Batch     30, Loss  0.602835, Average Loss  0.608533, Time  0.231113
2021-09-15 03:59:43.440592 : Epoch  3, Batch    706, Loss  0.605714, Average Loss  0.614353, Time  0.239359
2021-09-15 03:59:43.496238 : Epoch  5, Batch     31, Loss  0.606369, Average Loss  0.608478, Time  0.231241
2021-09-15 03:59:44.922318 : Epoch  1, Batch   1135, Loss  0.880630, Average Loss  0.877497, Time  0.264491
2021-09-15 03:59:44.969138 : Epoch  3, Batch    707, Loss  0.612234, Average Loss  0.614242, Time  0.239313
2021-09-15 03:59:45.043365 : Epoch  5, Batch     32, Loss  0.604891, Average Loss  0.608546, Time  0.231222
2021-09-15 03:59:46.495244 : Epoch  3, Batch    708, Loss  0.611462, Average Loss  0.614172, Time  0.240053
2021-09-15 03:59:46.594079 : Epoch  5, Batch     33, Loss  0.602045, Average Loss  0.608526, Time  0.231294
2021-09-15 03:59:47.913030 : Epoch  1, Batch   1136, Loss  0.871762, Average Loss  0.877527, Time  0.265710
2021-09-15 03:59:48.140056 : Epoch  5, Batch     34, Loss  0.612093, Average Loss  0.608477, Time  0.231503
2021-09-15 03:59:48.184531 : Epoch  3, Batch    709, Loss  0.611214, Average Loss  0.614075, Time  0.258303
2021-09-15 03:59:49.679395 : Epoch  5, Batch     35, Loss  0.619349, Average Loss  0.608526, Time  0.233855
2021-09-15 03:59:49.711372 : Epoch  3, Batch    710, Loss  0.616377, Average Loss  0.614003, Time  0.240446
2021-09-15 03:59:50.911352 : Epoch  1, Batch   1137, Loss  0.875540, Average Loss  0.877462, Time  0.265464
2021-09-15 03:59:51.228437 : Epoch  5, Batch     36, Loss  0.618689, Average Loss  0.608560, Time  0.230965
2021-09-15 03:59:51.245887 : Epoch  3, Batch    711, Loss  0.612100, Average Loss  0.613952, Time  0.239712
2021-09-15 03:59:52.777049 : Epoch  3, Batch    712, Loss  0.608444, Average Loss  0.613902, Time  0.238908
2021-09-15 03:59:52.777419 : Epoch  5, Batch     37, Loss  0.607669, Average Loss  0.608591, Time  0.231499
2021-09-15 03:59:53.913307 : Epoch  1, Batch   1138, Loss  0.875770, Average Loss  0.877370, Time  0.265070
2021-09-15 03:59:54.332759 : Epoch  3, Batch    713, Loss  0.622782, Average Loss  0.613949, Time  0.236931
2021-09-15 03:59:54.360023 : Epoch  5, Batch     38, Loss  0.606585, Average Loss  0.608558, Time  0.232020
2021-09-15 03:59:55.920598 : Epoch  5, Batch     39, Loss  0.596887, Average Loss  0.608469, Time  0.231285
2021-09-15 03:59:55.998507 : Epoch  3, Batch    714, Loss  0.606062, Average Loss  0.613872, Time  0.257707
2021-09-15 03:59:56.897813 : Epoch  1, Batch   1139, Loss  0.882301, Average Loss  0.877371, Time  0.264632
2021-09-15 03:59:57.482968 : Epoch  5, Batch     40, Loss  0.605158, Average Loss  0.608434, Time  0.233019
2021-09-15 03:59:57.535834 : Epoch  3, Batch    715, Loss  0.616876, Average Loss  0.613817, Time  0.242283
2021-09-15 03:59:59.037376 : Epoch  5, Batch     41, Loss  0.607154, Average Loss  0.608452, Time  0.230995
2021-09-15 03:59:59.223528 : Epoch  3, Batch    716, Loss  0.610322, Average Loss  0.613769, Time  0.259305
2021-09-15 03:59:59.891771 : Epoch  1, Batch   1140, Loss  0.893805, Average Loss  0.877440, Time  0.264815
2021-09-15 04:00:00.597861 : Epoch  5, Batch     42, Loss  0.610215, Average Loss  0.608454, Time  0.231810
2021-09-15 04:00:00.744333 : Epoch  3, Batch    717, Loss  0.612114, Average Loss  0.613712, Time  0.238533
2021-09-15 04:00:02.148175 : Epoch  5, Batch     43, Loss  0.605406, Average Loss  0.608383, Time  0.232550
2021-09-15 04:00:02.254987 : Epoch  3, Batch    718, Loss  0.606510, Average Loss  0.613615, Time  0.237309
2021-09-15 04:00:02.904928 : Epoch  1, Batch   1141, Loss  0.898614, Average Loss  0.877439, Time  0.265587
2021-09-15 04:00:03.690115 : Epoch  5, Batch     44, Loss  0.611873, Average Loss  0.608377, Time  0.233340
2021-09-15 04:00:03.805147 : Epoch  3, Batch    719, Loss  0.610256, Average Loss  0.613573, Time  0.240789
2021-09-15 04:00:05.248922 : Epoch  5, Batch     45, Loss  0.619692, Average Loss  0.608468, Time  0.231398
2021-09-15 04:00:05.329393 : Epoch  3, Batch    720, Loss  0.611918, Average Loss  0.613534, Time  0.237010
2021-09-15 04:00:05.893678 : Epoch  1, Batch   1142, Loss  0.870623, Average Loss  0.877419, Time  0.264588
2021-09-15 04:00:06.797367 : Epoch  5, Batch     46, Loss  0.600429, Average Loss  0.608419, Time  0.231180
2021-09-15 04:00:07.010407 : Epoch  3, Batch    721, Loss  0.607916, Average Loss  0.613501, Time  0.260899
2021-09-15 04:00:08.374593 : Epoch  5, Batch     47, Loss  0.601764, Average Loss  0.608341, Time  0.231148
2021-09-15 04:00:08.699989 : Epoch  3, Batch    722, Loss  0.610146, Average Loss  0.613492, Time  0.261411
2021-09-15 04:00:08.904575 : Epoch  1, Batch   1143, Loss  0.865639, Average Loss  0.877291, Time  0.266597
2021-09-15 04:00:09.925303 : Epoch  5, Batch     48, Loss  0.615068, Average Loss  0.608348, Time  0.231479
2021-09-15 04:00:10.380929 : Epoch  3, Batch    723, Loss  0.612444, Average Loss  0.613518, Time  0.260292
2021-09-15 04:00:11.479729 : Epoch  5, Batch     49, Loss  0.599756, Average Loss  0.608289, Time  0.231328
2021-09-15 04:00:11.987616 : Epoch  1, Batch   1144, Loss  0.898722, Average Loss  0.877396, Time  0.306094
2021-09-15 04:00:12.056376 : Epoch  3, Batch    724, Loss  0.620679, Average Loss  0.613557, Time  0.258947
2021-09-15 04:00:13.034365 : Epoch  5, Batch     50, Loss  0.611500, Average Loss  0.608265, Time  0.231449
2021-09-15 04:00:13.728972 : Epoch  3, Batch    725, Loss  0.615193, Average Loss  0.613592, Time  0.257481
2021-09-15 04:00:14.581835 : Epoch  5, Batch     51, Loss  0.615677, Average Loss  0.608255, Time  0.231210
2021-09-15 04:00:14.984725 : Epoch  1, Batch   1145, Loss  0.874344, Average Loss  0.877379, Time  0.265899
2021-09-15 04:00:15.427967 : Epoch  3, Batch    726, Loss  0.615965, Average Loss  0.613557, Time  0.262402
2021-09-15 04:00:16.134021 : Epoch  5, Batch     52, Loss  0.608957, Average Loss  0.608218, Time  0.233191
2021-09-15 04:00:18.012677 : Epoch  1, Batch   1146, Loss  0.879660, Average Loss  0.877440, Time  0.268101
2021-09-15 04:00:21.013593 : Epoch  1, Batch   1147, Loss  0.876052, Average Loss  0.877487, Time  0.264537
2021-09-15 04:00:24.006405 : Epoch  1, Batch   1148, Loss  0.866593, Average Loss  0.877252, Time  0.264400
2021-09-15 04:00:27.016793 : Epoch  1, Batch   1149, Loss  0.869576, Average Loss  0.877225, Time  0.267016
2021-09-15 04:00:30.018937 : Epoch  1, Batch   1150, Loss  0.867935, Average Loss  0.877129, Time  0.266164
2021-09-15 04:00:33.010044 : Epoch  1, Batch   1151, Loss  0.874397, Average Loss  0.877094, Time  0.265120
2021-09-15 04:00:35.994059 : Epoch  1, Batch   1152, Loss  0.899465, Average Loss  0.877004, Time  0.264890
2021-09-15 04:00:39.009375 : Epoch  1, Batch   1153, Loss  0.859661, Average Loss  0.876882, Time  0.265017
2021-09-15 04:00:42.028723 : Epoch  1, Batch   1154, Loss  0.878227, Average Loss  0.876887, Time  0.266487
2021-09-15 04:00:45.054306 : Epoch  1, Batch   1155, Loss  0.863740, Average Loss  0.876827, Time  0.265135
2021-09-15 04:00:48.081544 : Epoch  1, Batch   1156, Loss  0.863538, Average Loss  0.876821, Time  0.268113
2021-09-15 04:00:51.086994 : Epoch  1, Batch   1157, Loss  0.886951, Average Loss  0.876964, Time  0.266130
2021-09-15 04:00:54.092627 : Epoch  1, Batch   1158, Loss  0.854662, Average Loss  0.876839, Time  0.265952
2021-09-15 04:00:57.113970 : Epoch  1, Batch   1159, Loss  0.879814, Average Loss  0.876837, Time  0.274384
2021-09-15 04:01:00.133467 : Epoch  1, Batch   1160, Loss  0.878149, Average Loss  0.876751, Time  0.265774
2021-09-15 04:01:03.098272 : Epoch  1, Batch   1161, Loss  0.863007, Average Loss  0.876860, Time  0.265705
2021-09-15 04:01:06.107361 : Epoch  1, Batch   1162, Loss  0.859661, Average Loss  0.876775, Time  0.264292
2021-09-15 04:01:09.122775 : Epoch  1, Batch   1163, Loss  0.885727, Average Loss  0.876796, Time  0.265755
2021-09-15 04:01:12.151848 : Epoch  1, Batch   1164, Loss  0.873147, Average Loss  0.876886, Time  0.264731
2021-09-15 04:01:14.342728 : CheckPoint: Validation Loss  0.00026395, Best Loss  0.00024882
2021-09-15 04:01:15.158212 : Epoch  1, Batch   1165, Loss  0.869576, Average Loss  0.876766, Time  0.265435
2021-09-15 04:01:15.901241 : Epoch  5, Batch     53, Loss  0.601274, Average Loss  0.608190, Time  0.231586
2021-09-15 04:01:17.442933 : Epoch  5, Batch     54, Loss  0.607118, Average Loss  0.608094, Time  0.231332
2021-09-15 04:01:17.610721 : CheckPoint: Validation Loss  0.00025528, Best Loss  0.00025424
2021-09-15 04:01:18.151471 : Epoch  1, Batch   1166, Loss  0.890074, Average Loss  0.876758, Time  0.264717
2021-09-15 04:01:18.990377 : Epoch  5, Batch     55, Loss  0.605959, Average Loss  0.608095, Time  0.230984
2021-09-15 04:01:19.281026 : Epoch  3, Batch    727, Loss  0.616647, Average Loss  0.613532, Time  0.259878
2021-09-15 04:01:20.527505 : Epoch  5, Batch     56, Loss  0.614948, Average Loss  0.608135, Time  0.231246
2021-09-15 04:01:20.945968 : Epoch  3, Batch    728, Loss  0.613595, Average Loss  0.613584, Time  0.260403
2021-09-15 04:01:21.126174 : Epoch  1, Batch   1167, Loss  0.877748, Average Loss  0.876797, Time  0.264022
2021-09-15 04:01:22.074595 : Epoch  5, Batch     57, Loss  0.608243, Average Loss  0.608164, Time  0.231094
2021-09-15 04:01:22.622010 : Epoch  3, Batch    729, Loss  0.602484, Average Loss  0.613514, Time  0.262833
2021-09-15 04:01:23.627125 : Epoch  5, Batch     58, Loss  0.603675, Average Loss  0.608135, Time  0.233635
2021-09-15 04:01:24.140125 : Epoch  1, Batch   1168, Loss  0.865647, Average Loss  0.876742, Time  0.267526
2021-09-15 04:01:24.298374 : Epoch  3, Batch    730, Loss  0.609287, Average Loss  0.613434, Time  0.260178
2021-09-15 04:01:25.180818 : Epoch  5, Batch     59, Loss  0.600359, Average Loss  0.608004, Time  0.234672
2021-09-15 04:01:25.810794 : Epoch  3, Batch    731, Loss  0.604201, Average Loss  0.613317, Time  0.241080
2021-09-15 04:01:26.729955 : Epoch  5, Batch     60, Loss  0.615157, Average Loss  0.608060, Time  0.231682
2021-09-15 04:01:27.139911 : Epoch  1, Batch   1169, Loss  0.896743, Average Loss  0.876900, Time  0.266821
2021-09-15 04:01:27.333791 : Epoch  3, Batch    732, Loss  0.614682, Average Loss  0.613334, Time  0.239220
2021-09-15 04:01:28.274544 : Epoch  5, Batch     61, Loss  0.607408, Average Loss  0.608107, Time  0.232188
2021-09-15 04:01:29.002971 : Epoch  3, Batch    733, Loss  0.620387, Average Loss  0.613276, Time  0.262243
2021-09-15 04:01:29.827272 : Epoch  5, Batch     62, Loss  0.612453, Average Loss  0.608094, Time  0.231706
2021-09-15 04:01:30.197304 : Epoch  1, Batch   1170, Loss  0.868621, Average Loss  0.876757, Time  0.265144
2021-09-15 04:01:30.696887 : Epoch  3, Batch    734, Loss  0.612087, Average Loss  0.613276, Time  0.258504
2021-09-15 04:01:31.371095 : Epoch  5, Batch     63, Loss  0.611203, Average Loss  0.608142, Time  0.231403
2021-09-15 04:01:32.212994 : Epoch  3, Batch    735, Loss  0.619112, Average Loss  0.613293, Time  0.240234
2021-09-15 04:01:32.920029 : Epoch  5, Batch     64, Loss  0.608223, Average Loss  0.608098, Time  0.231664
2021-09-15 04:01:33.189262 : Epoch  1, Batch   1171, Loss  0.869716, Average Loss  0.876767, Time  0.265240
2021-09-15 04:01:33.730336 : Epoch  3, Batch    736, Loss  0.608014, Average Loss  0.613279, Time  0.240431
2021-09-15 04:01:34.479999 : Epoch  5, Batch     65, Loss  0.610841, Average Loss  0.608087, Time  0.231326
2021-09-15 04:01:35.259214 : Epoch  3, Batch    737, Loss  0.613098, Average Loss  0.613258, Time  0.239004
2021-09-15 04:01:36.026455 : Epoch  5, Batch     66, Loss  0.607790, Average Loss  0.608128, Time  0.231607
2021-09-15 04:01:36.170907 : Epoch  1, Batch   1172, Loss  0.863873, Average Loss  0.876819, Time  0.265047
2021-09-15 04:01:36.788415 : Epoch  3, Batch    738, Loss  0.612904, Average Loss  0.613243, Time  0.242270
2021-09-15 04:01:37.569962 : Epoch  5, Batch     67, Loss  0.612134, Average Loss  0.608156, Time  0.231029
2021-09-15 04:01:38.330821 : Epoch  3, Batch    739, Loss  0.594546, Average Loss  0.613139, Time  0.239711
2021-09-15 04:01:39.117306 : Epoch  5, Batch     68, Loss  0.610336, Average Loss  0.608173, Time  0.233377
2021-09-15 04:01:39.160922 : Epoch  1, Batch   1173, Loss  0.877943, Average Loss  0.876757, Time  0.265112
2021-09-15 04:01:39.857081 : Epoch  3, Batch    740, Loss  0.613346, Average Loss  0.613146, Time  0.239364
2021-09-15 04:01:40.666478 : Epoch  5, Batch     69, Loss  0.615926, Average Loss  0.608233, Time  0.231107
2021-09-15 04:01:41.379389 : Epoch  3, Batch    741, Loss  0.614407, Average Loss  0.613131, Time  0.240255
2021-09-15 04:01:42.170039 : Epoch  1, Batch   1174, Loss  0.881751, Average Loss  0.876636, Time  0.277597
2021-09-15 04:01:42.216380 : Epoch  5, Batch     70, Loss  0.598151, Average Loss  0.608171, Time  0.231334
2021-09-15 04:01:42.905023 : Epoch  3, Batch    742, Loss  0.612111, Average Loss  0.613100, Time  0.239295
2021-09-15 04:01:43.796482 : Epoch  5, Batch     71, Loss  0.613689, Average Loss  0.608204, Time  0.231324
2021-09-15 04:01:44.592157 : Epoch  3, Batch    743, Loss  0.609784, Average Loss  0.613053, Time  0.258527
2021-09-15 04:01:45.164419 : Epoch  1, Batch   1175, Loss  0.862773, Average Loss  0.876486, Time  0.265495
2021-09-15 04:01:45.362694 : Epoch  5, Batch     72, Loss  0.607209, Average Loss  0.608238, Time  0.233078
2021-09-15 04:01:46.276408 : Epoch  3, Batch    744, Loss  0.608125, Average Loss  0.612987, Time  0.257005
2021-09-15 04:01:46.903091 : Epoch  5, Batch     73, Loss  0.614540, Average Loss  0.608258, Time  0.231416
2021-09-15 04:01:47.812225 : Epoch  3, Batch    745, Loss  0.616548, Average Loss  0.613003, Time  0.240274
2021-09-15 04:01:48.166262 : Epoch  1, Batch   1176, Loss  0.855897, Average Loss  0.876302, Time  0.266224
2021-09-15 04:01:48.445095 : Epoch  5, Batch     74, Loss  0.604950, Average Loss  0.608244, Time  0.231872
2021-09-15 04:01:49.343621 : Epoch  3, Batch    746, Loss  0.609686, Average Loss  0.612924, Time  0.239009
2021-09-15 04:01:49.987530 : Epoch  5, Batch     75, Loss  0.607056, Average Loss  0.608270, Time  0.231563
2021-09-15 04:01:50.873933 : Epoch  3, Batch    747, Loss  0.608440, Average Loss  0.612888, Time  0.240319
2021-09-15 04:01:51.211472 : Epoch  1, Batch   1177, Loss  0.880933, Average Loss  0.876328, Time  0.265325
2021-09-15 04:01:51.546563 : Epoch  5, Batch     76, Loss  0.610174, Average Loss  0.608233, Time  0.231718
2021-09-15 04:01:52.393322 : Epoch  3, Batch    748, Loss  0.604963, Average Loss  0.612857, Time  0.239764
2021-09-15 04:01:53.091760 : Epoch  5, Batch     77, Loss  0.607167, Average Loss  0.608233, Time  0.231197
2021-09-15 04:01:53.912795 : Epoch  3, Batch    749, Loss  0.614306, Average Loss  0.612811, Time  0.238292
2021-09-15 04:01:54.207559 : Epoch  1, Batch   1178, Loss  0.874911, Average Loss  0.876319, Time  0.264228
2021-09-15 04:01:54.631634 : Epoch  5, Batch     78, Loss  0.605830, Average Loss  0.608171, Time  0.231512
2021-09-15 04:01:55.455313 : Epoch  3, Batch    750, Loss  0.609761, Average Loss  0.612822, Time  0.240963
2021-09-15 04:01:56.172672 : Epoch  5, Batch     79, Loss  0.602955, Average Loss  0.608150, Time  0.234790
2021-09-15 04:01:56.980905 : Epoch  3, Batch    751, Loss  0.623935, Average Loss  0.612914, Time  0.239783
2021-09-15 04:01:57.182565 : Epoch  1, Batch   1179, Loss  0.868443, Average Loss  0.876341, Time  0.264416
2021-09-15 04:01:57.713395 : Epoch  5, Batch     80, Loss  0.601117, Average Loss  0.608111, Time  0.231171
2021-09-15 04:01:58.503924 : Epoch  3, Batch    752, Loss  0.615586, Average Loss  0.612843, Time  0.241706
2021-09-15 04:01:59.255896 : Epoch  5, Batch     81, Loss  0.620958, Average Loss  0.608165, Time  0.231088
2021-09-15 04:02:00.024789 : Epoch  3, Batch    753, Loss  0.615275, Average Loss  0.612853, Time  0.240543
2021-09-15 04:02:00.169380 : Epoch  1, Batch   1180, Loss  0.889623, Average Loss  0.876420, Time  0.265087
2021-09-15 04:02:00.789352 : Epoch  5, Batch     82, Loss  0.614023, Average Loss  0.608148, Time  0.230795
2021-09-15 04:02:01.553089 : Epoch  3, Batch    754, Loss  0.604844, Average Loss  0.612818, Time  0.239226
2021-09-15 04:02:02.326370 : Epoch  5, Batch     83, Loss  0.604407, Average Loss  0.608122, Time  0.232544
2021-09-15 04:02:03.067129 : Epoch  3, Batch    755, Loss  0.617179, Average Loss  0.612851, Time  0.239881
2021-09-15 04:02:03.153128 : Epoch  1, Batch   1181, Loss  0.886528, Average Loss  0.876668, Time  0.264518
2021-09-15 04:02:03.875893 : Epoch  5, Batch     84, Loss  0.609225, Average Loss  0.608104, Time  0.234286
2021-09-15 04:02:04.583121 : Epoch  3, Batch    756, Loss  0.604615, Average Loss  0.612824, Time  0.239218
2021-09-15 04:02:05.409599 : Epoch  5, Batch     85, Loss  0.610754, Average Loss  0.608075, Time  0.230806
2021-09-15 04:02:06.105389 : Epoch  3, Batch    757, Loss  0.610390, Average Loss  0.612784, Time  0.238639
2021-09-15 04:02:06.157622 : Epoch  1, Batch   1182, Loss  0.889510, Average Loss  0.876843, Time  0.264859
2021-09-15 04:02:06.943200 : Epoch  5, Batch     86, Loss  0.602587, Average Loss  0.608071, Time  0.231642
2021-09-15 04:02:07.644011 : Epoch  3, Batch    758, Loss  0.604596, Average Loss  0.612748, Time  0.241732
2021-09-15 04:02:08.484054 : Epoch  5, Batch     87, Loss  0.611693, Average Loss  0.608128, Time  0.230950
2021-09-15 04:02:09.149504 : Epoch  1, Batch   1183, Loss  0.882055, Average Loss  0.876858, Time  0.264571
2021-09-15 04:02:09.171121 : Epoch  3, Batch    759, Loss  0.606075, Average Loss  0.612707, Time  0.238916
2021-09-15 04:02:10.029516 : Epoch  5, Batch     88, Loss  0.612010, Average Loss  0.608161, Time  0.231217
2021-09-15 04:02:10.705362 : Epoch  3, Batch    760, Loss  0.613377, Average Loss  0.612719, Time  0.239883
2021-09-15 04:02:11.562275 : Epoch  5, Batch     89, Loss  0.611619, Average Loss  0.608211, Time  0.230398
2021-09-15 04:02:12.158022 : Epoch  1, Batch   1184, Loss  0.863475, Average Loss  0.876823, Time  0.265837
2021-09-15 04:02:12.231993 : Epoch  3, Batch    761, Loss  0.607836, Average Loss  0.612593, Time  0.238209
2021-09-15 04:02:13.099345 : Epoch  5, Batch     90, Loss  0.609519, Average Loss  0.608228, Time  0.231194
2021-09-15 04:02:13.772949 : Epoch  3, Batch    762, Loss  0.614715, Average Loss  0.612573, Time  0.240805
2021-09-15 04:02:14.655902 : Epoch  5, Batch     91, Loss  0.627768, Average Loss  0.608306, Time  0.233276
2021-09-15 04:02:15.193985 : Epoch  1, Batch   1185, Loss  0.880439, Average Loss  0.876775, Time  0.265019
2021-09-15 04:02:15.295085 : Epoch  3, Batch    763, Loss  0.601220, Average Loss  0.612506, Time  0.239479
2021-09-15 04:02:16.203328 : Epoch  5, Batch     92, Loss  0.605588, Average Loss  0.608242, Time  0.232096
2021-09-15 04:02:16.966342 : Epoch  3, Batch    764, Loss  0.614835, Average Loss  0.612479, Time  0.257534
2021-09-15 04:02:17.752881 : Epoch  5, Batch     93, Loss  0.614606, Average Loss  0.608231, Time  0.232325
2021-09-15 04:02:18.209670 : Epoch  1, Batch   1186, Loss  0.872653, Average Loss  0.876748, Time  0.265508
2021-09-15 04:02:18.501886 : Epoch  3, Batch    765, Loss  0.616360, Average Loss  0.612484, Time  0.242222
2021-09-15 04:02:19.305254 : Epoch  5, Batch     94, Loss  0.616390, Average Loss  0.608243, Time  0.232159
2021-09-15 04:02:20.035190 : Epoch  3, Batch    766, Loss  0.620707, Average Loss  0.612481, Time  0.241525
2021-09-15 04:02:20.847038 : Epoch  5, Batch     95, Loss  0.603393, Average Loss  0.608257, Time  0.231449
2021-09-15 04:02:21.258164 : Epoch  1, Batch   1187, Loss  0.875448, Average Loss  0.876685, Time  0.266666
2021-09-15 04:02:21.562939 : Epoch  3, Batch    767, Loss  0.613703, Average Loss  0.612485, Time  0.239294
2021-09-15 04:02:22.392423 : Epoch  5, Batch     96, Loss  0.616371, Average Loss  0.608339, Time  0.231463
2021-09-15 04:02:23.088025 : Epoch  3, Batch    768, Loss  0.614675, Average Loss  0.612513, Time  0.240736
2021-09-15 04:02:23.933958 : Epoch  5, Batch     97, Loss  0.604307, Average Loss  0.608381, Time  0.231461
2021-09-15 04:02:24.248429 : Epoch  1, Batch   1188, Loss  0.855911, Average Loss  0.876525, Time  0.264294
2021-09-15 04:02:24.635966 : Epoch  3, Batch    769, Loss  0.629433, Average Loss  0.612610, Time  0.239840
2021-09-15 04:02:25.477698 : Epoch  5, Batch     98, Loss  0.610487, Average Loss  0.608367, Time  0.231814
2021-09-15 04:02:26.167403 : Epoch  3, Batch    770, Loss  0.605380, Average Loss  0.612600, Time  0.241781
2021-09-15 04:02:27.024019 : Epoch  5, Batch     99, Loss  0.614754, Average Loss  0.608370, Time  0.230992
2021-09-15 04:02:27.252041 : Epoch  1, Batch   1189, Loss  0.883923, Average Loss  0.876648, Time  0.279805
2021-09-15 04:02:27.710006 : Epoch  3, Batch    771, Loss  0.604137, Average Loss  0.612565, Time  0.239577
2021-09-15 04:02:28.554219 : Epoch  5, Batch    100, Loss  0.607097, Average Loss  0.608402, Time  0.229784
2021-09-15 04:02:29.229129 : Epoch  3, Batch    772, Loss  0.603500, Average Loss  0.612488, Time  0.239297
2021-09-15 04:02:30.087765 : Epoch  5, Batch    101, Loss  0.608216, Average Loss  0.608450, Time  0.230453
2021-09-15 04:02:30.237519 : Epoch  1, Batch   1190, Loss  0.853826, Average Loss  0.876515, Time  0.266630
2021-09-15 04:02:30.796293 : Epoch  3, Batch    773, Loss  0.619194, Average Loss  0.612474, Time  0.241810
2021-09-15 04:02:31.618899 : Epoch  5, Batch    102, Loss  0.601631, Average Loss  0.608395, Time  0.229819
2021-09-15 04:02:32.339965 : Epoch  3, Batch    774, Loss  0.614327, Average Loss  0.612479, Time  0.241875
2021-09-15 04:02:33.148371 : Epoch  5, Batch    103, Loss  0.604889, Average Loss  0.608370, Time  0.230593
2021-09-15 04:02:33.225389 : Epoch  1, Batch   1191, Loss  0.901032, Average Loss  0.876546, Time  0.263864
2021-09-15 04:02:33.877073 : Epoch  3, Batch    775, Loss  0.604131, Average Loss  0.612406, Time  0.241457
2021-09-15 04:02:34.686084 : Epoch  5, Batch    104, Loss  0.595464, Average Loss  0.608295, Time  0.233067
2021-09-15 04:02:35.400467 : Epoch  3, Batch    776, Loss  0.626955, Average Loss  0.612444, Time  0.239215
2021-09-15 04:02:36.217949 : Epoch  5, Batch    105, Loss  0.598405, Average Loss  0.608288, Time  0.229559
2021-09-15 04:02:36.240015 : Epoch  1, Batch   1192, Loss  0.878795, Average Loss  0.876494, Time  0.266626
2021-09-15 04:02:36.922422 : Epoch  3, Batch    777, Loss  0.615632, Average Loss  0.612453, Time  0.239281
2021-09-15 04:02:37.750820 : Epoch  5, Batch    106, Loss  0.607189, Average Loss  0.608317, Time  0.231208
2021-09-15 04:02:38.467266 : Epoch  3, Batch    778, Loss  0.613152, Average Loss  0.612466, Time  0.240282
2021-09-15 04:02:39.239791 : Epoch  1, Batch   1193, Loss  0.884884, Average Loss  0.876389, Time  0.264572
2021-09-15 04:02:39.299945 : Epoch  5, Batch    107, Loss  0.617720, Average Loss  0.608348, Time  0.232549
2021-09-15 04:02:39.992359 : Epoch  3, Batch    779, Loss  0.600676, Average Loss  0.612418, Time  0.238879
2021-09-15 04:02:40.834970 : Epoch  5, Batch    108, Loss  0.604795, Average Loss  0.608311, Time  0.231546
2021-09-15 04:02:41.525982 : Epoch  3, Batch    780, Loss  0.611105, Average Loss  0.612359, Time  0.239401
2021-09-15 04:02:42.227895 : Epoch  1, Batch   1194, Loss  0.868706, Average Loss  0.876568, Time  0.265067
2021-09-15 04:02:42.376368 : Epoch  5, Batch    109, Loss  0.623551, Average Loss  0.608415, Time  0.231372
2021-09-15 04:02:43.055040 : Epoch  3, Batch    781, Loss  0.615523, Average Loss  0.612314, Time  0.242958
2021-09-15 04:02:43.918034 : Epoch  5, Batch    110, Loss  0.609891, Average Loss  0.608394, Time  0.232141
2021-09-15 04:02:44.582974 : Epoch  3, Batch    782, Loss  0.611951, Average Loss  0.612282, Time  0.241423
2021-09-15 04:02:45.217792 : Epoch  1, Batch   1195, Loss  0.853324, Average Loss  0.876416, Time  0.264875
2021-09-15 04:02:45.460085 : Epoch  5, Batch    111, Loss  0.606118, Average Loss  0.608356, Time  0.233748
2021-09-15 04:02:46.123059 : Epoch  3, Batch    783, Loss  0.609959, Average Loss  0.612223, Time  0.240321
2021-09-15 04:02:46.995980 : Epoch  5, Batch    112, Loss  0.618154, Average Loss  0.608394, Time  0.231364
2021-09-15 04:02:47.644846 : Epoch  3, Batch    784, Loss  0.615314, Average Loss  0.612293, Time  0.238821
2021-09-15 04:02:48.220770 : Epoch  1, Batch   1196, Loss  0.890190, Average Loss  0.876470, Time  0.264820
2021-09-15 04:02:48.532041 : Epoch  5, Batch    113, Loss  0.605553, Average Loss  0.608411, Time  0.231275
2021-09-15 04:02:49.166835 : Epoch  3, Batch    785, Loss  0.611973, Average Loss  0.612306, Time  0.241188
2021-09-15 04:02:50.069396 : Epoch  5, Batch    114, Loss  0.609148, Average Loss  0.608434, Time  0.231269
2021-09-15 04:02:50.709922 : Epoch  3, Batch    786, Loss  0.622247, Average Loss  0.612343, Time  0.242858
2021-09-15 04:02:51.223957 : Epoch  1, Batch   1197, Loss  0.878509, Average Loss  0.876429, Time  0.264634
2021-09-15 04:02:51.609269 : Epoch  5, Batch    115, Loss  0.609095, Average Loss  0.608459, Time  0.231266
2021-09-15 04:02:52.229900 : Epoch  3, Batch    787, Loss  0.610780, Average Loss  0.612312, Time  0.240746
2021-09-15 04:02:52.265558 : Saving Model after 3-th Epoch.
2021-09-15 04:02:53.158907 : Epoch  5, Batch    116, Loss  0.591633, Average Loss  0.608407, Time  0.231145
2021-09-15 04:02:53.204623 : Epoch Finished.
2021-09-15 04:02:54.212122 : Epoch  1, Batch   1198, Loss  0.884031, Average Loss  0.876471, Time  0.265606
2021-09-15 04:02:54.723831 : Epoch  5, Batch    117, Loss  0.597107, Average Loss  0.608391, Time  0.232615
2021-09-15 04:02:55.774628 : Batch Shuffled
2021-09-15 04:02:56.262420 : Epoch  5, Batch    118, Loss  0.592766, Average Loss  0.608289, Time  0.231736
2021-09-15 04:02:57.218848 : Epoch  1, Batch   1199, Loss  0.889263, Average Loss  0.876535, Time  0.264760
2021-09-15 04:02:57.484398 : Epoch  4, Batch      1, Loss  0.607682, Average Loss  0.612296, Time  0.279754
2021-09-15 04:02:57.797907 : Epoch  5, Batch    119, Loss  0.601833, Average Loss  0.608189, Time  0.230998
2021-09-15 04:02:58.998365 : Epoch  4, Batch      2, Loss  0.607785, Average Loss  0.612267, Time  0.239596
2021-09-15 04:02:59.340584 : Epoch  5, Batch    120, Loss  0.615854, Average Loss  0.608207, Time  0.231300
2021-09-15 04:03:00.240292 : Epoch  1, Batch   1200, Loss  0.893216, Average Loss  0.876613, Time  0.266331
2021-09-15 04:03:00.518947 : Epoch  4, Batch      3, Loss  0.615010, Average Loss  0.612337, Time  0.238364
2021-09-15 04:03:00.878040 : Epoch  5, Batch    121, Loss  0.600606, Average Loss  0.608196, Time  0.232737
2021-09-15 04:03:02.209432 : Epoch  4, Batch      4, Loss  0.606995, Average Loss  0.612291, Time  0.257741
2021-09-15 04:03:02.408247 : Epoch  5, Batch    122, Loss  0.605158, Average Loss  0.608212, Time  0.231431
2021-09-15 04:03:03.885429 : Epoch  4, Batch      5, Loss  0.608133, Average Loss  0.612221, Time  0.259248
2021-09-15 04:03:05.560306 : Epoch  4, Batch      6, Loss  0.618786, Average Loss  0.612206, Time  0.260004
2021-09-15 04:03:06.280042 : Epoch  5, Batch    123, Loss  0.605719, Average Loss  0.608189, Time  0.249331
2021-09-15 04:03:07.091448 : Epoch  4, Batch      7, Loss  0.613652, Average Loss  0.612268, Time  0.241019
2021-09-15 04:03:07.813478 : Epoch  5, Batch    124, Loss  0.614911, Average Loss  0.608263, Time  0.232106
2021-09-15 04:03:08.783070 : Epoch  4, Batch      8, Loss  0.621131, Average Loss  0.612355, Time  0.259051
2021-09-15 04:03:09.352781 : Epoch  5, Batch    125, Loss  0.612779, Average Loss  0.608228, Time  0.231440
2021-09-15 04:03:10.469865 : Epoch  4, Batch      9, Loss  0.615715, Average Loss  0.612355, Time  0.257802
2021-09-15 04:03:10.891992 : Epoch  5, Batch    126, Loss  0.602209, Average Loss  0.608156, Time  0.230964
2021-09-15 04:03:12.157895 : Epoch  4, Batch     10, Loss  0.614536, Average Loss  0.612328, Time  0.260364
2021-09-15 04:03:12.417986 : Epoch  5, Batch    127, Loss  0.615053, Average Loss  0.608175, Time  0.231007
2021-09-15 04:03:13.848847 : Epoch  4, Batch     11, Loss  0.610904, Average Loss  0.612370, Time  0.260221
2021-09-15 04:03:13.944966 : Epoch  5, Batch    128, Loss  0.613228, Average Loss  0.608204, Time  0.231357
2021-09-15 04:03:15.478534 : Epoch  5, Batch    129, Loss  0.606353, Average Loss  0.608174, Time  0.232290
2021-09-15 04:03:15.537874 : Epoch  4, Batch     12, Loss  0.609701, Average Loss  0.612329, Time  0.258812
2021-09-15 04:03:17.024081 : Epoch  5, Batch    130, Loss  0.600182, Average Loss  0.608044, Time  0.231846
2021-09-15 04:03:17.219812 : Epoch  4, Batch     13, Loss  0.607787, Average Loss  0.612287, Time  0.260097
2021-09-15 04:03:18.567348 : Epoch  5, Batch    131, Loss  0.604438, Average Loss  0.608095, Time  0.230950
2021-09-15 04:03:18.888066 : Epoch  4, Batch     14, Loss  0.618352, Average Loss  0.612313, Time  0.261394
2021-09-15 04:03:20.102568 : Epoch  5, Batch    132, Loss  0.604215, Average Loss  0.608121, Time  0.231289
2021-09-15 04:03:20.562082 : Epoch  4, Batch     15, Loss  0.614482, Average Loss  0.612339, Time  0.260704
2021-09-15 04:03:21.640149 : Epoch  5, Batch    133, Loss  0.605930, Average Loss  0.608104, Time  0.231159
2021-09-15 04:03:22.247969 : Epoch  4, Batch     16, Loss  0.606338, Average Loss  0.612316, Time  0.259926
2021-09-15 04:03:23.179106 : Epoch  5, Batch    134, Loss  0.608531, Average Loss  0.608118, Time  0.231054
2021-09-15 04:03:23.941127 : Epoch  4, Batch     17, Loss  0.607963, Average Loss  0.612264, Time  0.258744
2021-09-15 04:03:24.723309 : Epoch  5, Batch    135, Loss  0.611440, Average Loss  0.608156, Time  0.232011
2021-09-15 04:03:25.471066 : Epoch  4, Batch     18, Loss  0.622387, Average Loss  0.612327, Time  0.242419
2021-09-15 04:03:26.281849 : Epoch  5, Batch    136, Loss  0.616787, Average Loss  0.608238, Time  0.231275
2021-09-15 04:03:26.999650 : Epoch  4, Batch     19, Loss  0.612510, Average Loss  0.612300, Time  0.238708
2021-09-15 04:03:27.813025 : Epoch  5, Batch    137, Loss  0.607283, Average Loss  0.608205, Time  0.231433
2021-09-15 04:03:28.697074 : Epoch  4, Batch     20, Loss  0.612829, Average Loss  0.612281, Time  0.260359
2021-09-15 04:03:29.354481 : Epoch  5, Batch    138, Loss  0.600489, Average Loss  0.608086, Time  0.231606
2021-09-15 04:03:30.232082 : Epoch  4, Batch     21, Loss  0.607460, Average Loss  0.612212, Time  0.241972
2021-09-15 04:03:30.904544 : Epoch  5, Batch    139, Loss  0.620873, Average Loss  0.608122, Time  0.232404
2021-09-15 04:03:31.755868 : Epoch  4, Batch     22, Loss  0.601153, Average Loss  0.612161, Time  0.237375
2021-09-15 04:03:32.451413 : Epoch  5, Batch    140, Loss  0.609474, Average Loss  0.608134, Time  0.231516
2021-09-15 04:03:33.276966 : Epoch  4, Batch     23, Loss  0.613979, Average Loss  0.612203, Time  0.238334
2021-09-15 04:03:33.994184 : Epoch  5, Batch    141, Loss  0.609079, Average Loss  0.608117, Time  0.232040
2021-09-15 04:03:34.810000 : Epoch  4, Batch     24, Loss  0.612809, Average Loss  0.612195, Time  0.238393
2021-09-15 04:03:35.544135 : Epoch  5, Batch    142, Loss  0.596889, Average Loss  0.608043, Time  0.231598
2021-09-15 04:03:36.342941 : Epoch  4, Batch     25, Loss  0.607203, Average Loss  0.612154, Time  0.239938
2021-09-15 04:03:37.090580 : Epoch  5, Batch    143, Loss  0.603689, Average Loss  0.608039, Time  0.231157
2021-09-15 04:03:38.026187 : Epoch  4, Batch     26, Loss  0.593384, Average Loss  0.612118, Time  0.259120
2021-09-15 04:03:38.641264 : Epoch  5, Batch    144, Loss  0.601345, Average Loss  0.607975, Time  0.231982
2021-09-15 04:03:39.685792 : Epoch  4, Batch     27, Loss  0.597216, Average Loss  0.612059, Time  0.238612
2021-09-15 04:03:40.187391 : Epoch  5, Batch    145, Loss  0.615528, Average Loss  0.607958, Time  0.231046
2021-09-15 04:03:41.238979 : Epoch  4, Batch     28, Loss  0.610899, Average Loss  0.612115, Time  0.240232
2021-09-15 04:03:41.730387 : Epoch  5, Batch    146, Loss  0.597176, Average Loss  0.607923, Time  0.231413
2021-09-15 04:03:42.763842 : Epoch  4, Batch     29, Loss  0.620259, Average Loss  0.612188, Time  0.238105
2021-09-15 04:03:43.270143 : Epoch  5, Batch    147, Loss  0.600818, Average Loss  0.607994, Time  0.231396
2021-09-15 04:03:44.285092 : Epoch  4, Batch     30, Loss  0.612388, Average Loss  0.612203, Time  0.237369
2021-09-15 04:03:44.807915 : Epoch  5, Batch    148, Loss  0.601378, Average Loss  0.607947, Time  0.231726
2021-09-15 04:03:45.824354 : Epoch  4, Batch     31, Loss  0.611854, Average Loss  0.612244, Time  0.241433
2021-09-15 04:03:46.355091 : Epoch  5, Batch    149, Loss  0.610371, Average Loss  0.607936, Time  0.231266
2021-09-15 04:03:47.357873 : Epoch  4, Batch     32, Loss  0.612728, Average Loss  0.612258, Time  0.241888
2021-09-15 04:03:47.908384 : Epoch  5, Batch    150, Loss  0.602017, Average Loss  0.607903, Time  0.231497
2021-09-15 04:03:48.898140 : Epoch  4, Batch     33, Loss  0.612166, Average Loss  0.612316, Time  0.241751
2021-09-15 04:03:49.563261 : Epoch  5, Batch    151, Loss  0.609756, Average Loss  0.607887, Time  0.231879
2021-09-15 04:03:50.428659 : Epoch  4, Batch     34, Loss  0.613113, Average Loss  0.612334, Time  0.240293
2021-09-15 04:03:51.126822 : Epoch  5, Batch    152, Loss  0.607894, Average Loss  0.607905, Time  0.231594
2021-09-15 04:03:51.967131 : Epoch  4, Batch     35, Loss  0.598955, Average Loss  0.612226, Time  0.242928
2021-09-15 04:03:53.493015 : Epoch  4, Batch     36, Loss  0.617560, Average Loss  0.612223, Time  0.241829
2021-09-15 04:03:55.044416 : Epoch  4, Batch     37, Loss  0.618315, Average Loss  0.612175, Time  0.242117
2021-09-15 04:03:56.578163 : Epoch  4, Batch     38, Loss  0.609919, Average Loss  0.612171, Time  0.242739
2021-09-15 04:03:58.119446 : Epoch  4, Batch     39, Loss  0.608506, Average Loss  0.612190, Time  0.241490
2021-09-15 04:04:49.063735 : CheckPoint: Validation Loss  0.00025359, Best Loss  0.00024882
2021-09-15 04:04:50.617651 : Epoch  5, Batch    153, Loss  0.597132, Average Loss  0.607876, Time  0.231550
2021-09-15 04:04:52.159143 : Epoch  5, Batch    154, Loss  0.608639, Average Loss  0.607879, Time  0.231421
2021-09-15 04:04:53.705943 : Epoch  5, Batch    155, Loss  0.618632, Average Loss  0.607889, Time  0.230934
2021-09-15 04:04:54.865697 : CheckPoint: Validation Loss  0.00025123, Best Loss  0.00025123
2021-09-15 04:04:54.916554 : Best Model Updated
2021-09-15 04:04:55.261122 : Epoch  5, Batch    156, Loss  0.603807, Average Loss  0.607857, Time  0.239450
2021-09-15 04:04:56.816428 : Epoch  5, Batch    157, Loss  0.612798, Average Loss  0.607867, Time  0.231496
2021-09-15 04:04:57.239886 : Epoch  4, Batch     40, Loss  0.609907, Average Loss  0.612148, Time  0.240920
2021-09-15 04:04:58.364845 : Epoch  5, Batch    158, Loss  0.600860, Average Loss  0.607779, Time  0.232081
2021-09-15 04:04:58.743868 : Epoch  4, Batch     41, Loss  0.591122, Average Loss  0.612054, Time  0.240655
2021-09-15 04:04:59.913877 : Epoch  5, Batch    159, Loss  0.608610, Average Loss  0.607772, Time  0.231838
2021-09-15 04:05:00.246218 : Epoch  4, Batch     42, Loss  0.627646, Average Loss  0.612144, Time  0.235993
2021-09-15 04:05:01.474673 : Epoch  5, Batch    160, Loss  0.616600, Average Loss  0.607836, Time  0.231058
2021-09-15 04:05:01.889813 : Epoch  4, Batch     43, Loss  0.607906, Average Loss  0.612091, Time  0.237398
2021-09-15 04:05:03.021017 : Epoch  5, Batch    161, Loss  0.599418, Average Loss  0.607756, Time  0.231210
2021-09-15 04:05:03.420850 : Epoch  4, Batch     44, Loss  0.615184, Average Loss  0.612053, Time  0.239725
2021-09-15 04:05:04.561115 : Epoch  5, Batch    162, Loss  0.611980, Average Loss  0.607816, Time  0.232964
2021-09-15 04:05:04.948365 : Epoch  4, Batch     45, Loss  0.606968, Average Loss  0.612017, Time  0.238930
2021-09-15 04:05:06.097089 : Epoch  5, Batch    163, Loss  0.602915, Average Loss  0.607836, Time  0.232330
2021-09-15 04:05:06.478892 : Epoch  4, Batch     46, Loss  0.614127, Average Loss  0.612090, Time  0.242680
2021-09-15 04:05:07.630339 : Epoch  5, Batch    164, Loss  0.605393, Average Loss  0.607873, Time  0.230504
2021-09-15 04:05:07.991156 : Epoch  4, Batch     47, Loss  0.613256, Average Loss  0.612074, Time  0.237986
2021-09-15 04:05:09.173940 : Epoch  5, Batch    165, Loss  0.604078, Average Loss  0.607899, Time  0.230888
2021-09-15 04:05:09.517905 : Epoch  4, Batch     48, Loss  0.620295, Average Loss  0.612108, Time  0.240805
2021-09-15 04:05:10.718155 : Epoch  5, Batch    166, Loss  0.606536, Average Loss  0.607919, Time  0.231293
2021-09-15 04:05:11.038475 : Epoch  4, Batch     49, Loss  0.614215, Average Loss  0.612154, Time  0.239617
2021-09-15 04:05:12.254615 : Epoch  5, Batch    167, Loss  0.602001, Average Loss  0.607841, Time  0.230639
2021-09-15 04:05:12.559968 : Epoch  4, Batch     50, Loss  0.609445, Average Loss  0.612129, Time  0.242612
2021-09-15 04:05:13.804157 : Epoch  5, Batch    168, Loss  0.604990, Average Loss  0.607841, Time  0.231336
2021-09-15 04:05:14.090866 : Epoch  4, Batch     51, Loss  0.619849, Average Loss  0.612136, Time  0.242078
2021-09-15 04:05:15.350826 : Epoch  5, Batch    169, Loss  0.608271, Average Loss  0.607778, Time  0.233203
2021-09-15 04:05:15.637036 : Epoch  4, Batch     52, Loss  0.615573, Average Loss  0.612121, Time  0.248141
2021-09-15 04:05:16.898361 : Epoch  5, Batch    170, Loss  0.599724, Average Loss  0.607728, Time  0.231542
2021-09-15 04:05:17.166016 : Epoch  4, Batch     53, Loss  0.607413, Average Loss  0.612128, Time  0.238884
2021-09-15 04:05:18.455947 : Epoch  5, Batch    171, Loss  0.607535, Average Loss  0.607631, Time  0.231848
2021-09-15 04:05:18.681952 : Epoch  4, Batch     54, Loss  0.602030, Average Loss  0.612145, Time  0.237329
2021-09-15 04:05:20.006005 : Epoch  5, Batch    172, Loss  0.618541, Average Loss  0.607724, Time  0.231664
2021-09-15 04:05:20.203240 : Epoch  4, Batch     55, Loss  0.615994, Average Loss  0.612204, Time  0.237290
2021-09-15 04:05:21.552163 : Epoch  5, Batch    173, Loss  0.607519, Average Loss  0.607754, Time  0.232150
2021-09-15 04:05:21.898102 : Epoch  4, Batch     56, Loss  0.621480, Average Loss  0.612286, Time  0.263179
2021-09-15 04:05:23.104597 : Epoch  5, Batch    174, Loss  0.612318, Average Loss  0.607811, Time  0.231570
2021-09-15 04:05:23.590939 : Epoch  4, Batch     57, Loss  0.606134, Average Loss  0.612235, Time  0.257931
2021-09-15 04:05:24.646690 : Epoch  5, Batch    175, Loss  0.596908, Average Loss  0.607731, Time  0.231240
2021-09-15 04:05:25.279929 : Epoch  4, Batch     58, Loss  0.613844, Average Loss  0.612257, Time  0.259856
2021-09-15 04:05:26.185631 : Epoch  5, Batch    176, Loss  0.611801, Average Loss  0.607760, Time  0.231838
2021-09-15 04:05:26.831423 : Epoch  4, Batch     59, Loss  0.603749, Average Loss  0.612202, Time  0.240638
2021-09-15 04:05:27.729712 : Epoch  5, Batch    177, Loss  0.613498, Average Loss  0.607862, Time  0.231252
2021-09-15 04:05:28.363793 : Epoch  4, Batch     60, Loss  0.618954, Average Loss  0.612232, Time  0.239495
2021-09-15 04:05:29.276282 : Epoch  5, Batch    178, Loss  0.612586, Average Loss  0.607872, Time  0.231715
2021-09-15 04:05:29.898922 : Epoch  4, Batch     61, Loss  0.596030, Average Loss  0.612204, Time  0.238395
2021-09-15 04:05:30.817808 : Epoch  5, Batch    179, Loss  0.615821, Average Loss  0.607881, Time  0.231841
2021-09-15 04:05:31.436875 : Epoch  4, Batch     62, Loss  0.605154, Average Loss  0.612136, Time  0.240573
2021-09-15 04:05:32.371168 : Epoch  5, Batch    180, Loss  0.602911, Average Loss  0.607843, Time  0.232264
2021-09-15 04:05:32.962318 : Epoch  4, Batch     63, Loss  0.614025, Average Loss  0.612120, Time  0.237749
2021-09-15 04:05:33.910615 : Epoch  5, Batch    181, Loss  0.617996, Average Loss  0.607914, Time  0.231158
2021-09-15 04:05:34.495843 : Epoch  4, Batch     64, Loss  0.619240, Average Loss  0.612120, Time  0.238983
2021-09-15 04:05:35.452308 : Epoch  5, Batch    182, Loss  0.610938, Average Loss  0.607981, Time  0.231370
2021-09-15 04:05:36.031411 : Epoch  4, Batch     65, Loss  0.601677, Average Loss  0.612082, Time  0.238422
2021-09-15 04:05:36.996970 : Epoch  5, Batch    183, Loss  0.600817, Average Loss  0.608018, Time  0.231393
2021-09-15 04:05:37.557774 : Epoch  4, Batch     66, Loss  0.612846, Average Loss  0.612120, Time  0.237843
2021-09-15 04:05:38.548393 : Epoch  5, Batch    184, Loss  0.603485, Average Loss  0.607985, Time  0.231177
2021-09-15 04:05:39.092336 : Epoch  4, Batch     67, Loss  0.610906, Average Loss  0.612088, Time  0.238572
2021-09-15 04:05:40.099150 : Epoch  5, Batch    185, Loss  0.603414, Average Loss  0.607947, Time  0.231401
2021-09-15 04:05:40.630668 : Epoch  4, Batch     68, Loss  0.623490, Average Loss  0.612154, Time  0.239705
2021-09-15 04:05:41.647448 : Epoch  5, Batch    186, Loss  0.606084, Average Loss  0.607984, Time  0.233642
2021-09-15 04:05:42.162370 : Epoch  4, Batch     69, Loss  0.611054, Average Loss  0.612105, Time  0.237950
2021-09-15 04:05:43.192007 : Epoch  5, Batch    187, Loss  0.608782, Average Loss  0.607908, Time  0.232192
2021-09-15 04:05:43.685362 : Epoch  4, Batch     70, Loss  0.617765, Average Loss  0.612165, Time  0.240071
2021-09-15 04:05:44.740630 : Epoch  5, Batch    188, Loss  0.603736, Average Loss  0.607873, Time  0.231083
2021-09-15 04:05:45.217116 : Epoch  4, Batch     71, Loss  0.604153, Average Loss  0.612139, Time  0.242725
2021-09-15 04:05:46.288107 : Epoch  5, Batch    189, Loss  0.606689, Average Loss  0.607828, Time  0.231957
2021-09-15 04:05:46.753039 : Epoch  4, Batch     72, Loss  0.603770, Average Loss  0.612103, Time  0.238827
2021-09-15 04:05:47.848160 : Epoch  5, Batch    190, Loss  0.611508, Average Loss  0.607833, Time  0.232469
2021-09-15 04:05:48.276831 : Epoch  4, Batch     73, Loss  0.613664, Average Loss  0.612074, Time  0.239938
2021-09-15 04:05:49.404405 : Epoch  5, Batch    191, Loss  0.599286, Average Loss  0.607818, Time  0.232188
2021-09-15 04:05:49.803839 : Epoch  4, Batch     74, Loss  0.601062, Average Loss  0.611982, Time  0.240249
2021-09-15 04:05:50.957048 : Epoch  5, Batch    192, Loss  0.616093, Average Loss  0.607872, Time  0.231549
2021-09-15 04:05:51.330184 : Epoch  4, Batch     75, Loss  0.618938, Average Loss  0.611931, Time  0.242095
2021-09-15 04:05:52.517096 : Epoch  5, Batch    193, Loss  0.610846, Average Loss  0.607918, Time  0.231612
2021-09-15 04:05:53.017396 : Epoch  4, Batch     76, Loss  0.615280, Average Loss  0.611997, Time  0.259317
2021-09-15 04:05:54.070003 : Epoch  5, Batch    194, Loss  0.601306, Average Loss  0.607896, Time  0.231558
2021-09-15 04:05:54.552896 : Epoch  4, Batch     77, Loss  0.614640, Average Loss  0.612028, Time  0.238004
2021-09-15 04:05:55.624655 : Epoch  5, Batch    195, Loss  0.609527, Average Loss  0.607895, Time  0.231906
2021-09-15 04:05:56.072861 : Epoch  4, Batch     78, Loss  0.614843, Average Loss  0.612045, Time  0.238155
2021-09-15 04:05:57.170538 : Epoch  5, Batch    196, Loss  0.595033, Average Loss  0.607876, Time  0.232180
2021-09-15 04:05:57.605814 : Epoch  4, Batch     79, Loss  0.603687, Average Loss  0.611988, Time  0.239385
2021-09-15 04:05:58.720664 : Epoch  5, Batch    197, Loss  0.605614, Average Loss  0.607855, Time  0.231105
2021-09-15 04:05:59.138897 : Epoch  4, Batch     80, Loss  0.616712, Average Loss  0.611998, Time  0.240543
2021-09-15 04:06:00.273288 : Epoch  5, Batch    198, Loss  0.603064, Average Loss  0.607840, Time  0.230600
2021-09-15 04:06:00.664906 : Epoch  4, Batch     81, Loss  0.605481, Average Loss  0.611981, Time  0.239176
2021-09-15 04:06:01.802558 : Epoch  5, Batch    199, Loss  0.599443, Average Loss  0.607868, Time  0.230670
2021-09-15 04:06:02.200938 : Epoch  4, Batch     82, Loss  0.622895, Average Loss  0.612009, Time  0.238558
2021-09-15 04:06:03.347807 : Epoch  5, Batch    200, Loss  0.607984, Average Loss  0.607823, Time  0.231106
2021-09-15 04:06:03.746955 : Epoch  4, Batch     83, Loss  0.612826, Average Loss  0.611976, Time  0.238709
2021-09-15 04:06:04.905833 : Epoch  5, Batch    201, Loss  0.609791, Average Loss  0.607842, Time  0.232322
2021-09-15 04:06:05.272828 : Epoch  4, Batch     84, Loss  0.610526, Average Loss  0.611977, Time  0.238647
2021-09-15 04:06:06.452202 : Epoch  5, Batch    202, Loss  0.610531, Average Loss  0.607905, Time  0.231336
2021-09-15 04:06:06.793909 : Epoch  4, Batch     85, Loss  0.598771, Average Loss  0.611875, Time  0.238956
2021-09-15 04:06:07.998516 : Epoch  5, Batch    203, Loss  0.604210, Average Loss  0.607894, Time  0.231353
2021-09-15 04:06:08.321903 : Epoch  4, Batch     86, Loss  0.623803, Average Loss  0.611951, Time  0.239294
2021-09-15 04:06:09.547206 : Epoch  5, Batch    204, Loss  0.604360, Average Loss  0.607862, Time  0.231437
2021-09-15 04:06:09.853547 : Epoch  4, Batch     87, Loss  0.618316, Average Loss  0.612035, Time  0.239666
2021-09-15 04:06:11.097889 : Epoch  5, Batch    205, Loss  0.610567, Average Loss  0.607860, Time  0.231209
2021-09-15 04:06:11.377024 : Epoch  4, Batch     88, Loss  0.618845, Average Loss  0.612087, Time  0.240514
2021-09-15 04:06:12.645196 : Epoch  5, Batch    206, Loss  0.592330, Average Loss  0.607737, Time  0.232077
2021-09-15 04:06:12.901083 : Epoch  4, Batch     89, Loss  0.614518, Average Loss  0.612082, Time  0.240802
2021-09-15 04:06:14.191043 : Epoch  5, Batch    207, Loss  0.593857, Average Loss  0.607637, Time  0.231740
2021-09-15 04:06:14.428503 : Epoch  4, Batch     90, Loss  0.610851, Average Loss  0.612082, Time  0.239344
2021-09-15 04:06:15.744486 : Epoch  5, Batch    208, Loss  0.617311, Average Loss  0.607688, Time  0.231863
2021-09-15 04:06:15.961743 : Epoch  4, Batch     91, Loss  0.610375, Average Loss  0.612022, Time  0.239727
2021-09-15 04:06:17.282189 : Epoch  5, Batch    209, Loss  0.612732, Average Loss  0.607742, Time  0.231870
2021-09-15 04:06:17.635088 : Epoch  4, Batch     92, Loss  0.607940, Average Loss  0.612031, Time  0.257085
2021-09-15 04:06:18.828225 : Epoch  5, Batch    210, Loss  0.596136, Average Loss  0.607701, Time  0.231201
2021-09-15 04:06:19.310983 : Epoch  4, Batch     93, Loss  0.616346, Average Loss  0.612013, Time  0.259583
2021-09-15 04:06:20.426233 : Epoch  5, Batch    211, Loss  0.613591, Average Loss  0.607694, Time  0.231667
2021-09-15 04:06:21.006895 : Epoch  4, Batch     94, Loss  0.633645, Average Loss  0.612205, Time  0.259236
2021-09-15 04:06:21.970372 : Epoch  5, Batch    212, Loss  0.594751, Average Loss  0.607645, Time  0.231539
2021-09-15 04:06:22.682804 : Epoch  4, Batch     95, Loss  0.606549, Average Loss  0.612103, Time  0.257400
2021-09-15 04:06:23.517158 : Epoch  5, Batch    213, Loss  0.613465, Average Loss  0.607659, Time  0.231869
2021-09-15 04:06:24.363001 : Epoch  4, Batch     96, Loss  0.609288, Average Loss  0.612092, Time  0.256945
2021-09-15 04:06:25.068894 : Epoch  5, Batch    214, Loss  0.603784, Average Loss  0.607643, Time  0.231489
2021-09-15 04:06:25.900484 : Epoch  4, Batch     97, Loss  0.612753, Average Loss  0.612058, Time  0.240189
2021-09-15 04:06:26.614167 : Epoch  5, Batch    215, Loss  0.613812, Average Loss  0.607636, Time  0.231419
2021-09-15 04:06:27.448219 : Epoch  4, Batch     98, Loss  0.615077, Average Loss  0.612050, Time  0.239959
2021-09-15 04:06:28.161275 : Epoch  5, Batch    216, Loss  0.621924, Average Loss  0.607745, Time  0.232359
2021-09-15 04:06:28.974261 : Epoch  4, Batch     99, Loss  0.612388, Average Loss  0.612043, Time  0.238959
2021-09-15 04:06:29.714807 : Epoch  5, Batch    217, Loss  0.611959, Average Loss  0.607693, Time  0.231625
2021-09-15 04:06:30.495350 : Epoch  4, Batch    100, Loss  0.617254, Average Loss  0.612058, Time  0.237787
2021-09-15 04:06:31.258387 : Epoch  5, Batch    218, Loss  0.610764, Average Loss  0.607730, Time  0.233103
2021-09-15 04:06:32.039316 : Epoch  4, Batch    101, Loss  0.610356, Average Loss  0.611997, Time  0.238707
2021-09-15 04:06:32.799359 : Epoch  5, Batch    219, Loss  0.608126, Average Loss  0.607716, Time  0.232307
2021-09-15 04:06:33.573546 : Epoch  4, Batch    102, Loss  0.597669, Average Loss  0.611924, Time  0.242358
2021-09-15 04:06:34.347248 : Epoch  5, Batch    220, Loss  0.606767, Average Loss  0.607725, Time  0.231508
2021-09-15 04:06:35.104801 : Epoch  4, Batch    103, Loss  0.610500, Average Loss  0.611863, Time  0.240443
2021-09-15 04:06:35.882961 : Epoch  5, Batch    221, Loss  0.600551, Average Loss  0.607671, Time  0.232153
2021-09-15 04:06:36.634404 : Epoch  4, Batch    104, Loss  0.614815, Average Loss  0.611815, Time  0.240702
2021-09-15 04:06:37.426128 : Epoch  5, Batch    222, Loss  0.605730, Average Loss  0.607637, Time  0.231373
2021-09-15 04:06:38.185244 : Epoch  4, Batch    105, Loss  0.612627, Average Loss  0.611845, Time  0.241524
2021-09-15 04:06:39.717782 : Epoch  4, Batch    106, Loss  0.621841, Average Loss  0.611906, Time  0.240875
2021-09-15 04:06:41.257435 : Epoch  4, Batch    107, Loss  0.606150, Average Loss  0.611835, Time  0.239506
2021-09-15 04:06:41.291175 : Epoch  5, Batch    223, Loss  0.615842, Average Loss  0.607700, Time  0.271849
2021-09-15 04:06:42.785833 : Epoch  4, Batch    108, Loss  0.605876, Average Loss  0.611811, Time  0.240699
2021-09-15 04:06:42.860667 : Epoch  5, Batch    224, Loss  0.612386, Average Loss  0.607696, Time  0.247987
2021-09-15 04:06:44.317846 : Epoch  4, Batch    109, Loss  0.604909, Average Loss  0.611751, Time  0.238744
2021-09-15 04:06:44.412269 : Epoch  5, Batch    225, Loss  0.610998, Average Loss  0.607698, Time  0.231150
2021-09-15 04:06:45.966282 : Epoch  5, Batch    226, Loss  0.604486, Average Loss  0.607639, Time  0.231820
2021-09-15 04:06:47.508272 : Epoch  5, Batch    227, Loss  0.615501, Average Loss  0.607706, Time  0.230950
2021-09-15 04:06:48.297066 : Epoch  4, Batch    110, Loss  0.619266, Average Loss  0.611728, Time  0.264534
2021-09-15 04:06:49.041225 : Epoch  5, Batch    228, Loss  0.613214, Average Loss  0.607760, Time  0.231001
2021-09-15 04:06:49.855123 : Epoch  4, Batch    111, Loss  0.620787, Average Loss  0.611786, Time  0.245320
2021-09-15 04:06:50.592243 : Epoch  5, Batch    229, Loss  0.596403, Average Loss  0.607717, Time  0.231497
2021-09-15 04:06:51.562585 : Epoch  4, Batch    112, Loss  0.605797, Average Loss  0.611807, Time  0.260043
2021-09-15 04:06:52.135170 : Epoch  5, Batch    230, Loss  0.618202, Average Loss  0.607794, Time  0.231198
2021-09-15 04:06:53.260211 : Epoch  4, Batch    113, Loss  0.612424, Average Loss  0.611823, Time  0.258159
2021-09-15 04:06:53.686083 : Epoch  5, Batch    231, Loss  0.607515, Average Loss  0.607800, Time  0.231254
2021-09-15 04:06:54.944936 : Epoch  4, Batch    114, Loss  0.614400, Average Loss  0.611879, Time  0.258673
2021-09-15 04:06:55.222815 : Epoch  5, Batch    232, Loss  0.606015, Average Loss  0.607805, Time  0.231421
2021-09-15 04:06:56.467035 : Epoch  4, Batch    115, Loss  0.612455, Average Loss  0.611902, Time  0.238027
2021-09-15 04:06:56.764819 : Epoch  5, Batch    233, Loss  0.607742, Average Loss  0.607834, Time  0.231485
2021-09-15 04:06:57.991013 : Epoch  4, Batch    116, Loss  0.612349, Average Loss  0.611902, Time  0.239143
2021-09-15 04:06:58.310973 : Epoch  5, Batch    234, Loss  0.605769, Average Loss  0.607802, Time  0.231189
2021-09-15 04:06:59.517342 : Epoch  4, Batch    117, Loss  0.610666, Average Loss  0.611874, Time  0.238879
2021-09-15 04:06:59.851873 : Epoch  5, Batch    235, Loss  0.610470, Average Loss  0.607758, Time  0.231691
2021-09-15 04:07:01.057769 : Epoch  4, Batch    118, Loss  0.622041, Average Loss  0.611922, Time  0.248272
2021-09-15 04:07:01.386837 : Epoch  5, Batch    236, Loss  0.602514, Average Loss  0.607677, Time  0.230985
2021-09-15 04:07:02.590873 : Epoch  4, Batch    119, Loss  0.627215, Average Loss  0.612030, Time  0.238692
2021-09-15 04:07:02.934307 : Epoch  5, Batch    237, Loss  0.603628, Average Loss  0.607657, Time  0.232568
2021-09-15 04:07:04.134579 : Epoch  4, Batch    120, Loss  0.608808, Average Loss  0.612013, Time  0.240274
2021-09-15 04:07:04.475249 : Epoch  5, Batch    238, Loss  0.608211, Average Loss  0.607665, Time  0.231487
2021-09-15 04:07:05.812043 : Epoch  4, Batch    121, Loss  0.607292, Average Loss  0.611992, Time  0.260712
2021-09-15 04:07:06.019114 : Epoch  5, Batch    239, Loss  0.597847, Average Loss  0.607670, Time  0.231396
2021-09-15 04:07:07.333215 : Epoch  4, Batch    122, Loss  0.619371, Average Loss  0.612033, Time  0.238304
2021-09-15 04:07:07.561225 : Epoch  5, Batch    240, Loss  0.612239, Average Loss  0.607705, Time  0.232330
2021-09-15 04:07:08.868445 : Epoch  4, Batch    123, Loss  0.627358, Average Loss  0.612088, Time  0.240375
2021-09-15 04:07:09.095707 : Epoch  5, Batch    241, Loss  0.606351, Average Loss  0.607701, Time  0.231152
2021-09-15 04:07:10.400493 : Epoch  4, Batch    124, Loss  0.604274, Average Loss  0.612049, Time  0.238694
2021-09-15 04:07:10.637380 : Epoch  5, Batch    242, Loss  0.602239, Average Loss  0.607661, Time  0.231445
2021-09-15 04:07:11.933369 : Epoch  4, Batch    125, Loss  0.608813, Average Loss  0.612050, Time  0.237189
2021-09-15 04:07:12.179650 : Epoch  5, Batch    243, Loss  0.614775, Average Loss  0.607708, Time  0.232261
2021-09-15 04:07:13.469816 : Epoch  4, Batch    126, Loss  0.608065, Average Loss  0.611977, Time  0.241874
2021-09-15 04:07:13.721846 : Epoch  5, Batch    244, Loss  0.612475, Average Loss  0.607711, Time  0.231050
2021-09-15 04:07:15.017487 : Epoch  4, Batch    127, Loss  0.615543, Average Loss  0.612024, Time  0.241549
2021-09-15 04:07:15.256794 : Epoch  5, Batch    245, Loss  0.614435, Average Loss  0.607685, Time  0.231410
2021-09-15 04:07:16.541330 : Epoch  4, Batch    128, Loss  0.620409, Average Loss  0.612042, Time  0.238813
2021-09-15 04:07:16.791549 : Epoch  5, Batch    246, Loss  0.600936, Average Loss  0.607687, Time  0.230826
2021-09-15 04:07:18.060971 : Epoch  4, Batch    129, Loss  0.615649, Average Loss  0.612068, Time  0.240201
2021-09-15 04:07:18.314368 : Epoch  5, Batch    247, Loss  0.609297, Average Loss  0.607725, Time  0.231016
2021-09-15 04:07:19.608981 : Epoch  4, Batch    130, Loss  0.613024, Average Loss  0.612073, Time  0.245070
2021-09-15 04:07:19.896903 : Epoch  5, Batch    248, Loss  0.592109, Average Loss  0.607610, Time  0.231329
2021-09-15 04:07:21.144908 : Epoch  4, Batch    131, Loss  0.614175, Average Loss  0.612111, Time  0.242473
2021-09-15 04:07:21.450238 : Epoch  5, Batch    249, Loss  0.592047, Average Loss  0.607572, Time  0.231012
2021-09-15 04:07:22.669975 : Epoch  4, Batch    132, Loss  0.605833, Average Loss  0.612089, Time  0.236182
2021-09-15 04:07:22.989789 : Epoch  5, Batch    250, Loss  0.605899, Average Loss  0.607544, Time  0.230596
2021-09-15 04:07:24.191358 : Epoch  4, Batch    133, Loss  0.617582, Average Loss  0.612118, Time  0.236653
2021-09-15 04:07:24.528348 : Epoch  5, Batch    251, Loss  0.602047, Average Loss  0.607476, Time  0.230583
2021-09-15 04:07:25.745968 : Epoch  4, Batch    134, Loss  0.603456, Average Loss  0.612095, Time  0.241657
2021-09-15 04:07:26.055808 : Epoch  5, Batch    252, Loss  0.604231, Average Loss  0.607452, Time  0.231332
2021-09-15 04:07:27.292862 : Epoch  4, Batch    135, Loss  0.614867, Average Loss  0.612119, Time  0.243111
2021-09-15 04:07:28.825994 : Epoch  4, Batch    136, Loss  0.607632, Average Loss  0.612095, Time  0.239773
2021-09-15 04:07:30.533489 : Epoch  4, Batch    137, Loss  0.602567, Average Loss  0.612004, Time  0.265987
2021-09-15 04:07:32.228601 : Epoch  4, Batch    138, Loss  0.614316, Average Loss  0.612000, Time  0.259757
2021-09-15 04:07:33.912229 : Epoch  4, Batch    139, Loss  0.611957, Average Loss  0.611980, Time  0.259447
2021-09-15 04:07:42.516705 : CheckPoint: Validation Loss  0.00029921, Best Loss  0.00029921
2021-09-15 04:07:42.550797 : Best Model Updated
2021-09-15 04:07:46.400641 : Epoch  1, Batch   1201, Loss  0.864140, Average Loss  0.876504, Time  0.277299
2021-09-15 04:07:49.415049 : Epoch  1, Batch   1202, Loss  0.897699, Average Loss  0.876575, Time  0.265221
2021-09-15 04:07:52.450748 : Epoch  1, Batch   1203, Loss  0.880554, Average Loss  0.876643, Time  0.265417
2021-09-15 04:07:55.457729 : Epoch  1, Batch   1204, Loss  0.869855, Average Loss  0.876670, Time  0.264658
2021-09-15 04:07:58.456961 : Epoch  1, Batch   1205, Loss  0.867626, Average Loss  0.876646, Time  0.265050
2021-09-15 04:08:01.456928 : Epoch  1, Batch   1206, Loss  0.875327, Average Loss  0.876612, Time  0.264803
2021-09-15 04:08:04.456023 : Epoch  1, Batch   1207, Loss  0.888455, Average Loss  0.876642, Time  0.265933
2021-09-15 04:08:07.447545 : Epoch  1, Batch   1208, Loss  0.880368, Average Loss  0.876618, Time  0.264555
2021-09-15 04:08:10.467943 : Epoch  1, Batch   1209, Loss  0.866406, Average Loss  0.876526, Time  0.264919
2021-09-15 04:08:13.466190 : Epoch  1, Batch   1210, Loss  0.878452, Average Loss  0.876478, Time  0.266618
2021-09-15 04:08:16.470493 : Epoch  1, Batch   1211, Loss  0.873676, Average Loss  0.876386, Time  0.264776
2021-09-15 04:08:19.499159 : Epoch  1, Batch   1212, Loss  0.902451, Average Loss  0.876617, Time  0.265351
2021-09-15 04:08:22.490204 : Epoch  1, Batch   1213, Loss  0.883086, Average Loss  0.876632, Time  0.264330
2021-09-15 04:08:23.971716 : CheckPoint: Validation Loss  0.00024782, Best Loss  0.00024782
2021-09-15 04:08:24.011557 : Best Model Updated
2021-09-15 04:08:25.509383 : Epoch  1, Batch   1214, Loss  0.885633, Average Loss  0.876641, Time  0.265712
2021-09-15 04:08:26.300990 : Epoch  5, Batch    253, Loss  0.602551, Average Loss  0.607458, Time  0.234909
2021-09-15 04:08:27.919319 : Epoch  5, Batch    254, Loss  0.619434, Average Loss  0.607520, Time  0.231270
2021-09-15 04:08:28.519949 : Epoch  1, Batch   1215, Loss  0.889887, Average Loss  0.876822, Time  0.264321
2021-09-15 04:08:29.467692 : Epoch  5, Batch    255, Loss  0.606417, Average Loss  0.607522, Time  0.230901
2021-09-15 04:08:30.966925 : CheckPoint: Validation Loss  0.00025264, Best Loss  0.00025123
2021-09-15 04:08:31.022552 : Epoch  5, Batch    256, Loss  0.612410, Average Loss  0.607510, Time  0.231193
2021-09-15 04:08:31.525187 : Epoch  1, Batch   1216, Loss  0.841386, Average Loss  0.876683, Time  0.273781
2021-09-15 04:08:32.496010 : Epoch  4, Batch    140, Loss  0.607274, Average Loss  0.611933, Time  0.240933
2021-09-15 04:08:32.575599 : Epoch  5, Batch    257, Loss  0.614496, Average Loss  0.607541, Time  0.230986
2021-09-15 04:08:34.011046 : Epoch  4, Batch    141, Loss  0.610389, Average Loss  0.611917, Time  0.238168
2021-09-15 04:08:34.122725 : Epoch  5, Batch    258, Loss  0.612022, Average Loss  0.607583, Time  0.232210
2021-09-15 04:08:34.514943 : Epoch  1, Batch   1217, Loss  0.897425, Average Loss  0.876826, Time  0.264766
2021-09-15 04:08:35.531368 : Epoch  4, Batch    142, Loss  0.617848, Average Loss  0.611994, Time  0.239494
2021-09-15 04:08:35.663317 : Epoch  5, Batch    259, Loss  0.615292, Average Loss  0.607657, Time  0.231344
2021-09-15 04:08:37.060349 : Epoch  4, Batch    143, Loss  0.610818, Average Loss  0.612001, Time  0.241525
2021-09-15 04:08:37.204321 : Epoch  5, Batch    260, Loss  0.611808, Average Loss  0.607640, Time  0.231476
2021-09-15 04:08:37.500687 : Epoch  1, Batch   1218, Loss  0.869970, Average Loss  0.876806, Time  0.264895
2021-09-15 04:08:38.588949 : Epoch  4, Batch    144, Loss  0.612786, Average Loss  0.612044, Time  0.239824
2021-09-15 04:08:38.750812 : Epoch  5, Batch    261, Loss  0.602454, Average Loss  0.607616, Time  0.231523
2021-09-15 04:08:40.111039 : Epoch  4, Batch    145, Loss  0.610386, Average Loss  0.612023, Time  0.236417
2021-09-15 04:08:40.284645 : Epoch  5, Batch    262, Loss  0.594843, Average Loss  0.607528, Time  0.230935
2021-09-15 04:08:40.494787 : Epoch  1, Batch   1219, Loss  0.885357, Average Loss  0.876796, Time  0.265155
2021-09-15 04:08:41.637359 : Epoch  4, Batch    146, Loss  0.605973, Average Loss  0.611951, Time  0.236433
2021-09-15 04:08:41.826604 : Epoch  5, Batch    263, Loss  0.609706, Average Loss  0.607520, Time  0.232592
2021-09-15 04:08:43.325183 : Epoch  4, Batch    147, Loss  0.603085, Average Loss  0.611906, Time  0.257758
2021-09-15 04:08:43.365345 : Epoch  5, Batch    264, Loss  0.609205, Average Loss  0.607525, Time  0.231222
2021-09-15 04:08:43.481930 : Epoch  1, Batch   1220, Loss  0.865354, Average Loss  0.876760, Time  0.264454
2021-09-15 04:08:44.889816 : Epoch  4, Batch    148, Loss  0.610753, Average Loss  0.611864, Time  0.241290
2021-09-15 04:08:44.925254 : Epoch  5, Batch    265, Loss  0.609262, Average Loss  0.607517, Time  0.231264
2021-09-15 04:08:46.470198 : Epoch  1, Batch   1221, Loss  0.863942, Average Loss  0.876632, Time  0.264606
2021-09-15 04:08:46.471343 : Epoch  5, Batch    266, Loss  0.611239, Average Loss  0.607534, Time  0.230813
2021-09-15 04:08:46.589890 : Epoch  4, Batch    149, Loss  0.612634, Average Loss  0.611887, Time  0.260512
2021-09-15 04:08:48.048609 : Epoch  5, Batch    267, Loss  0.606246, Average Loss  0.607505, Time  0.239746
2021-09-15 04:08:48.167786 : Epoch  4, Batch    150, Loss  0.608157, Average Loss  0.611862, Time  0.240809
2021-09-15 04:08:49.458983 : Epoch  1, Batch   1222, Loss  0.866319, Average Loss  0.876645, Time  0.264340
2021-09-15 04:08:49.594311 : Epoch  5, Batch    268, Loss  0.601864, Average Loss  0.607463, Time  0.231054
2021-09-15 04:08:49.690416 : Epoch  4, Batch    151, Loss  0.607384, Average Loss  0.611835, Time  0.239816
2021-09-15 04:08:51.133639 : Epoch  5, Batch    269, Loss  0.599877, Average Loss  0.607382, Time  0.231493
2021-09-15 04:08:51.217892 : Epoch  4, Batch    152, Loss  0.621225, Average Loss  0.611968, Time  0.240518
2021-09-15 04:08:52.458540 : Epoch  1, Batch   1223, Loss  0.871651, Average Loss  0.876488, Time  0.265474
2021-09-15 04:08:52.695815 : Epoch  5, Batch    270, Loss  0.604916, Average Loss  0.607416, Time  0.231435
2021-09-15 04:08:52.749386 : Epoch  4, Batch    153, Loss  0.600126, Average Loss  0.611902, Time  0.240239
2021-09-15 04:08:54.241985 : Epoch  5, Batch    271, Loss  0.604383, Average Loss  0.607370, Time  0.231646
2021-09-15 04:08:54.277863 : Epoch  4, Batch    154, Loss  0.612908, Average Loss  0.611895, Time  0.240735
2021-09-15 04:08:55.493450 : Epoch  1, Batch   1224, Loss  0.880182, Average Loss  0.876510, Time  0.266153
2021-09-15 04:08:55.792466 : Epoch  5, Batch    272, Loss  0.606450, Average Loss  0.607366, Time  0.231664
2021-09-15 04:08:55.819091 : Epoch  4, Batch    155, Loss  0.620891, Average Loss  0.611938, Time  0.241129
2021-09-15 04:08:57.354130 : Epoch  5, Batch    273, Loss  0.616697, Average Loss  0.607377, Time  0.231637
2021-09-15 04:08:57.386929 : Epoch  4, Batch    156, Loss  0.606884, Average Loss  0.611924, Time  0.240481
2021-09-15 04:08:58.487798 : Epoch  1, Batch   1225, Loss  0.860499, Average Loss  0.876463, Time  0.264207
2021-09-15 04:08:58.902400 : Epoch  5, Batch    274, Loss  0.612196, Average Loss  0.607413, Time  0.232136
2021-09-15 04:08:58.932791 : Epoch  4, Batch    157, Loss  0.600846, Average Loss  0.611888, Time  0.238162
2021-09-15 04:09:00.436375 : Epoch  5, Batch    275, Loss  0.610514, Average Loss  0.607430, Time  0.232898
2021-09-15 04:09:00.610882 : Epoch  4, Batch    158, Loss  0.608419, Average Loss  0.611847, Time  0.260837
2021-09-15 04:09:01.477364 : Epoch  1, Batch   1226, Loss  0.884333, Average Loss  0.876453, Time  0.264988
2021-09-15 04:09:01.972461 : Epoch  5, Batch    276, Loss  0.602049, Average Loss  0.607390, Time  0.231145
2021-09-15 04:09:02.302457 : Epoch  4, Batch    159, Loss  0.609645, Average Loss  0.611847, Time  0.260659
2021-09-15 04:09:03.513011 : Epoch  5, Batch    277, Loss  0.610194, Average Loss  0.607405, Time  0.231120
2021-09-15 04:09:03.986028 : Epoch  4, Batch    160, Loss  0.609158, Average Loss  0.611850, Time  0.259526
2021-09-15 04:09:04.493095 : Epoch  1, Batch   1227, Loss  0.863265, Average Loss  0.876285, Time  0.267520
2021-09-15 04:09:05.060230 : Epoch  5, Batch    278, Loss  0.601396, Average Loss  0.607383, Time  0.231772
2021-09-15 04:09:05.658971 : Epoch  4, Batch    161, Loss  0.609335, Average Loss  0.611872, Time  0.258052
2021-09-15 04:09:06.603016 : Epoch  5, Batch    279, Loss  0.594394, Average Loss  0.607340, Time  0.231654
2021-09-15 04:09:07.357866 : Epoch  4, Batch    162, Loss  0.617856, Average Loss  0.611890, Time  0.262146
2021-09-15 04:09:07.493235 : Epoch  1, Batch   1228, Loss  0.870649, Average Loss  0.876369, Time  0.265102
2021-09-15 04:09:08.149835 : Epoch  5, Batch    280, Loss  0.608294, Average Loss  0.607376, Time  0.231674
2021-09-15 04:09:09.035278 : Epoch  4, Batch    163, Loss  0.625491, Average Loss  0.611969, Time  0.259062
2021-09-15 04:09:09.691014 : Epoch  5, Batch    281, Loss  0.611093, Average Loss  0.607326, Time  0.231426
2021-09-15 04:09:10.515101 : Epoch  1, Batch   1229, Loss  0.854182, Average Loss  0.876167, Time  0.265621
2021-09-15 04:09:10.560556 : Epoch  4, Batch    164, Loss  0.625026, Average Loss  0.611974, Time  0.240704
2021-09-15 04:09:11.236573 : Epoch  5, Batch    282, Loss  0.611220, Average Loss  0.607312, Time  0.231834
2021-09-15 04:09:12.102391 : Epoch  4, Batch    165, Loss  0.612537, Average Loss  0.611959, Time  0.241505
2021-09-15 04:09:12.783386 : Epoch  5, Batch    283, Loss  0.608051, Average Loss  0.607330, Time  0.231529
2021-09-15 04:09:13.534513 : Epoch  1, Batch   1230, Loss  0.881940, Average Loss  0.876140, Time  0.266379
2021-09-15 04:09:13.635888 : Epoch  4, Batch    166, Loss  0.612316, Average Loss  0.611944, Time  0.240714
2021-09-15 04:09:14.323662 : Epoch  5, Batch    284, Loss  0.606338, Average Loss  0.607316, Time  0.231117
2021-09-15 04:09:15.156293 : Epoch  4, Batch    167, Loss  0.613918, Average Loss  0.611989, Time  0.240937
2021-09-15 04:09:15.870064 : Epoch  5, Batch    285, Loss  0.602266, Average Loss  0.607274, Time  0.231415
2021-09-15 04:09:16.558430 : Epoch  1, Batch   1231, Loss  0.862804, Average Loss  0.876119, Time  0.279155
2021-09-15 04:09:16.682363 : Epoch  4, Batch    168, Loss  0.611046, Average Loss  0.611959, Time  0.240721
2021-09-15 04:09:17.426349 : Epoch  5, Batch    286, Loss  0.603937, Average Loss  0.607280, Time  0.231664
2021-09-15 04:09:18.214356 : Epoch  4, Batch    169, Loss  0.605446, Average Loss  0.611963, Time  0.240422
2021-09-15 04:09:18.973115 : Epoch  5, Batch    287, Loss  0.602772, Average Loss  0.607236, Time  0.233274
2021-09-15 04:09:19.576336 : Epoch  1, Batch   1232, Loss  0.882477, Average Loss  0.876138, Time  0.265973
2021-09-15 04:09:19.751793 : Epoch  4, Batch    170, Loss  0.601153, Average Loss  0.611917, Time  0.241277
2021-09-15 04:09:20.512986 : Epoch  5, Batch    288, Loss  0.589804, Average Loss  0.607125, Time  0.233958
2021-09-15 04:09:21.272371 : Epoch  4, Batch    171, Loss  0.618289, Average Loss  0.611985, Time  0.240643
2021-09-15 04:09:22.074411 : Epoch  5, Batch    289, Loss  0.611703, Average Loss  0.607125, Time  0.231775
2021-09-15 04:09:22.589838 : Epoch  1, Batch   1233, Loss  0.881869, Average Loss  0.876161, Time  0.264345
2021-09-15 04:09:22.808276 : Epoch  4, Batch    172, Loss  0.607426, Average Loss  0.611992, Time  0.241925
2021-09-15 04:09:23.624137 : Epoch  5, Batch    290, Loss  0.593365, Average Loss  0.607044, Time  0.231819
2021-09-15 04:09:24.492449 : Epoch  4, Batch    173, Loss  0.624286, Average Loss  0.612046, Time  0.259013
2021-09-15 04:09:25.173594 : Epoch  5, Batch    291, Loss  0.613070, Average Loss  0.606971, Time  0.231318
2021-09-15 04:09:25.580444 : Epoch  1, Batch   1234, Loss  0.896735, Average Loss  0.876361, Time  0.266142
2021-09-15 04:09:26.190169 : Epoch  4, Batch    174, Loss  0.604796, Average Loss  0.612031, Time  0.261278
2021-09-15 04:09:26.717866 : Epoch  5, Batch    292, Loss  0.603861, Average Loss  0.606962, Time  0.231491
2021-09-15 04:09:27.866022 : Epoch  4, Batch    175, Loss  0.614150, Average Loss  0.612028, Time  0.256480
2021-09-15 04:09:28.277372 : Epoch  5, Batch    293, Loss  0.610961, Average Loss  0.606944, Time  0.231384
2021-09-15 04:09:28.577772 : Epoch  1, Batch   1235, Loss  0.887108, Average Loss  0.876345, Time  0.265132
2021-09-15 04:09:29.419406 : Epoch  4, Batch    176, Loss  0.620415, Average Loss  0.612124, Time  0.238281
2021-09-15 04:09:29.828214 : Epoch  5, Batch    294, Loss  0.612246, Average Loss  0.606923, Time  0.232007
2021-09-15 04:09:30.964423 : Epoch  4, Batch    177, Loss  0.626520, Average Loss  0.612183, Time  0.242028
2021-09-15 04:09:31.376042 : Epoch  5, Batch    295, Loss  0.603253, Average Loss  0.606923, Time  0.231652
2021-09-15 04:09:31.561862 : Epoch  1, Batch   1236, Loss  0.875644, Average Loss  0.876335, Time  0.265116
2021-09-15 04:09:32.501379 : Epoch  4, Batch    178, Loss  0.606299, Average Loss  0.612132, Time  0.240962
2021-09-15 04:09:32.919362 : Epoch  5, Batch    296, Loss  0.604627, Average Loss  0.606864, Time  0.231319
2021-09-15 04:09:34.022921 : Epoch  4, Batch    179, Loss  0.614393, Average Loss  0.612101, Time  0.237607
2021-09-15 04:09:34.465297 : Epoch  5, Batch    297, Loss  0.605953, Average Loss  0.606872, Time  0.231681
2021-09-15 04:09:34.543727 : Epoch  1, Batch   1237, Loss  0.872699, Average Loss  0.876380, Time  0.265345
2021-09-15 04:09:35.560793 : Epoch  4, Batch    180, Loss  0.617057, Average Loss  0.612118, Time  0.241805
2021-09-15 04:09:36.009560 : Epoch  5, Batch    298, Loss  0.617370, Average Loss  0.606907, Time  0.231048
2021-09-15 04:09:37.099830 : Epoch  4, Batch    181, Loss  0.609462, Average Loss  0.612092, Time  0.241292
2021-09-15 04:09:37.549972 : Epoch  5, Batch    299, Loss  0.613919, Average Loss  0.606902, Time  0.231114
2021-09-15 04:09:37.560281 : Epoch  1, Batch   1238, Loss  0.891026, Average Loss  0.876471, Time  0.264300
2021-09-15 04:09:38.638022 : Epoch  4, Batch    182, Loss  0.623549, Average Loss  0.612062, Time  0.240999
2021-09-15 04:09:39.085869 : Epoch  5, Batch    300, Loss  0.611583, Average Loss  0.606925, Time  0.231473
2021-09-15 04:09:40.167361 : Epoch  4, Batch    183, Loss  0.617581, Average Loss  0.612123, Time  0.239290
2021-09-15 04:09:40.571001 : Epoch  1, Batch   1239, Loss  0.871340, Average Loss  0.876416, Time  0.266134
2021-09-15 04:09:40.627179 : Epoch  5, Batch    301, Loss  0.619110, Average Loss  0.606979, Time  0.233175
2021-09-15 04:09:41.686275 : Epoch  4, Batch    184, Loss  0.614136, Average Loss  0.612173, Time  0.236301
2021-09-15 04:09:42.176370 : Epoch  5, Batch    302, Loss  0.596450, Average Loss  0.606953, Time  0.231086
2021-09-15 04:09:43.226986 : Epoch  4, Batch    185, Loss  0.610397, Average Loss  0.612208, Time  0.242759
2021-09-15 04:09:43.574127 : Epoch  1, Batch   1240, Loss  0.869701, Average Loss  0.876312, Time  0.264853
2021-09-15 04:09:43.714957 : Epoch  5, Batch    303, Loss  0.610974, Average Loss  0.606984, Time  0.231455
2021-09-15 04:09:44.779924 : Epoch  4, Batch    186, Loss  0.603107, Average Loss  0.612127, Time  0.241188
2021-09-15 04:09:45.252386 : Epoch  5, Batch    304, Loss  0.610915, Average Loss  0.607061, Time  0.231331
2021-09-15 04:09:46.306369 : Epoch  4, Batch    187, Loss  0.610482, Average Loss  0.612108, Time  0.238919
2021-09-15 04:09:46.624226 : Epoch  1, Batch   1241, Loss  0.894130, Average Loss  0.876407, Time  0.265275
2021-09-15 04:09:46.789553 : Epoch  5, Batch    305, Loss  0.618584, Average Loss  0.607162, Time  0.231280
2021-09-15 04:09:47.830095 : Epoch  4, Batch    188, Loss  0.608838, Average Loss  0.612132, Time  0.240865
2021-09-15 04:09:48.336219 : Epoch  5, Batch    306, Loss  0.601183, Average Loss  0.607132, Time  0.232170
2021-09-15 04:09:49.366055 : Epoch  4, Batch    189, Loss  0.602354, Average Loss  0.612009, Time  0.243384
2021-09-15 04:09:49.607002 : Epoch  1, Batch   1242, Loss  0.885810, Average Loss  0.876379, Time  0.264706
2021-09-15 04:09:49.879234 : Epoch  5, Batch    307, Loss  0.614203, Average Loss  0.607114, Time  0.232056
2021-09-15 04:09:50.914443 : Epoch  4, Batch    190, Loss  0.616502, Average Loss  0.612013, Time  0.239993
2021-09-15 04:09:51.428002 : Epoch  5, Batch    308, Loss  0.607759, Average Loss  0.607129, Time  0.232053
2021-09-15 04:09:52.436324 : Epoch  4, Batch    191, Loss  0.616958, Average Loss  0.612032, Time  0.238382
2021-09-15 04:09:52.608091 : Epoch  1, Batch   1243, Loss  0.867848, Average Loss  0.876348, Time  0.266185
2021-09-15 04:09:52.967677 : Epoch  5, Batch    309, Loss  0.603142, Average Loss  0.607027, Time  0.231075
2021-09-15 04:09:53.959916 : Epoch  4, Batch    192, Loss  0.616347, Average Loss  0.612110, Time  0.237501
2021-09-15 04:09:54.516989 : Epoch  5, Batch    310, Loss  0.596354, Average Loss  0.606959, Time  0.232378
2021-09-15 04:09:55.500391 : Epoch  4, Batch    193, Loss  0.620076, Average Loss  0.612155, Time  0.241884
2021-09-15 04:09:55.597567 : Epoch  1, Batch   1244, Loss  0.881654, Average Loss  0.876418, Time  0.264608
2021-09-15 04:09:56.061625 : Epoch  5, Batch    311, Loss  0.612236, Average Loss  0.606990, Time  0.231059
2021-09-15 04:09:57.044893 : Epoch  4, Batch    194, Loss  0.612222, Average Loss  0.612139, Time  0.242456
2021-09-15 04:09:57.598176 : Epoch  5, Batch    312, Loss  0.601036, Average Loss  0.606904, Time  0.231262
2021-09-15 04:09:58.576772 : Epoch  1, Batch   1245, Loss  0.890633, Average Loss  0.876563, Time  0.265507
2021-09-15 04:09:58.582967 : Epoch  4, Batch    195, Loss  0.620011, Average Loss  0.612179, Time  0.237653
2021-09-15 04:09:59.144988 : Epoch  5, Batch    313, Loss  0.610157, Average Loss  0.606927, Time  0.231385
2021-09-15 04:10:00.131758 : Epoch  4, Batch    196, Loss  0.623396, Average Loss  0.612246, Time  0.237981
2021-09-15 04:10:00.679964 : Epoch  5, Batch    314, Loss  0.608025, Average Loss  0.606922, Time  0.231213
2021-09-15 04:10:01.585834 : Epoch  1, Batch   1246, Loss  0.881309, Average Loss  0.876689, Time  0.275952
2021-09-15 04:10:01.682936 : Epoch  4, Batch    197, Loss  0.614778, Average Loss  0.612243, Time  0.241923
2021-09-15 04:10:02.230332 : Epoch  5, Batch    315, Loss  0.587753, Average Loss  0.606815, Time  0.231348
2021-09-15 04:10:03.211955 : Epoch  4, Batch    198, Loss  0.616562, Average Loss  0.612266, Time  0.240047
2021-09-15 04:10:03.771832 : Epoch  5, Batch    316, Loss  0.599000, Average Loss  0.606852, Time  0.231186
2021-09-15 04:10:04.586808 : Epoch  1, Batch   1247, Loss  0.874541, Average Loss  0.876739, Time  0.264670
2021-09-15 04:10:04.897135 : Epoch  4, Batch    199, Loss  0.608065, Average Loss  0.612195, Time  0.257918
2021-09-15 04:10:05.321860 : Epoch  5, Batch    317, Loss  0.615102, Average Loss  0.606942, Time  0.231759
2021-09-15 04:10:06.416959 : Epoch  4, Batch    200, Loss  0.607640, Average Loss  0.612180, Time  0.238760
2021-09-15 04:10:06.848455 : Epoch  5, Batch    318, Loss  0.609086, Average Loss  0.607024, Time  0.231315
2021-09-15 04:10:07.583949 : Epoch  1, Batch   1248, Loss  0.876107, Average Loss  0.876777, Time  0.266591
2021-09-15 04:10:07.963418 : Epoch  4, Batch    201, Loss  0.608276, Average Loss  0.612183, Time  0.239770
2021-09-15 04:10:08.394339 : Epoch  5, Batch    319, Loss  0.595463, Average Loss  0.606992, Time  0.231257
2021-09-15 04:10:09.548772 : Epoch  4, Batch    202, Loss  0.623467, Average Loss  0.612261, Time  0.239272
2021-09-15 04:10:09.944843 : Epoch  5, Batch    320, Loss  0.598904, Average Loss  0.606907, Time  0.231447
2021-09-15 04:10:10.579763 : Epoch  1, Batch   1249, Loss  0.887854, Average Loss  0.876790, Time  0.264860
2021-09-15 04:10:11.071994 : Epoch  4, Batch    203, Loss  0.615198, Average Loss  0.612262, Time  0.240271
2021-09-15 04:10:11.487316 : Epoch  5, Batch    321, Loss  0.609495, Average Loss  0.606951, Time  0.231339
2021-09-15 04:10:12.597224 : Epoch  4, Batch    204, Loss  0.618623, Average Loss  0.612320, Time  0.240792
2021-09-15 04:10:13.028089 : Epoch  5, Batch    322, Loss  0.615383, Average Loss  0.607002, Time  0.231268
2021-09-15 04:10:13.570019 : Epoch  1, Batch   1250, Loss  0.873155, Average Loss  0.876776, Time  0.265498
2021-09-15 04:10:14.136880 : Epoch  4, Batch    205, Loss  0.605602, Average Loss  0.612308, Time  0.242369
2021-09-15 04:10:15.728450 : Epoch  4, Batch    206, Loss  0.610868, Average Loss  0.612268, Time  0.256481
2021-09-15 04:10:16.578621 : Epoch  1, Batch   1251, Loss  0.894313, Average Loss  0.876723, Time  0.265456
2021-09-15 04:10:16.933058 : Epoch  5, Batch    323, Loss  0.611738, Average Loss  0.607033, Time  0.266030
2021-09-15 04:10:17.407793 : Epoch  4, Batch    207, Loss  0.612565, Average Loss  0.612263, Time  0.257088
2021-09-15 04:10:18.471928 : Epoch  5, Batch    324, Loss  0.601736, Average Loss  0.606967, Time  0.234628
2021-09-15 04:10:19.090418 : Epoch  4, Batch    208, Loss  0.617502, Average Loss  0.612244, Time  0.258201
2021-09-15 04:10:19.570475 : Epoch  1, Batch   1252, Loss  0.860374, Average Loss  0.876607, Time  0.264904
2021-09-15 04:10:20.032691 : Epoch  5, Batch    325, Loss  0.606772, Average Loss  0.606937, Time  0.231670
2021-09-15 04:10:20.781508 : Epoch  4, Batch    209, Loss  0.613017, Average Loss  0.612231, Time  0.260089
2021-09-15 04:10:21.582163 : Epoch  5, Batch    326, Loss  0.592824, Average Loss  0.606890, Time  0.231429
2021-09-15 04:10:22.579363 : Epoch  1, Batch   1253, Loss  0.894727, Average Loss  0.876623, Time  0.264567
2021-09-15 04:10:23.123806 : Epoch  5, Batch    327, Loss  0.605958, Average Loss  0.606844, Time  0.231338
2021-09-15 04:10:24.697133 : Epoch  5, Batch    328, Loss  0.627025, Average Loss  0.606913, Time  0.235657
2021-09-15 04:10:24.811115 : Epoch  4, Batch    210, Loss  0.606977, Average Loss  0.612193, Time  0.291766
2021-09-15 04:10:25.570386 : Epoch  1, Batch   1254, Loss  0.893380, Average Loss  0.876826, Time  0.265358
2021-09-15 04:10:26.244000 : Epoch  5, Batch    329, Loss  0.602559, Average Loss  0.606894, Time  0.234344
2021-09-15 04:10:26.529477 : Epoch  4, Batch    211, Loss  0.609816, Average Loss  0.612188, Time  0.272089
2021-09-15 04:10:27.795370 : Epoch  5, Batch    330, Loss  0.620040, Average Loss  0.606994, Time  0.232379
2021-09-15 04:10:28.227443 : Epoch  4, Batch    212, Loss  0.609662, Average Loss  0.612188, Time  0.259800
2021-09-15 04:10:28.604144 : Epoch  1, Batch   1255, Loss  0.866297, Average Loss  0.876768, Time  0.265099
2021-09-15 04:10:29.359643 : Epoch  5, Batch    331, Loss  0.607076, Average Loss  0.607007, Time  0.230872
2021-09-15 04:10:29.907019 : Epoch  4, Batch    213, Loss  0.615438, Average Loss  0.612226, Time  0.259679
2021-09-15 04:10:30.902029 : Epoch  5, Batch    332, Loss  0.619198, Average Loss  0.607082, Time  0.231231
2021-09-15 04:10:31.461795 : Epoch  4, Batch    214, Loss  0.607649, Average Loss  0.612172, Time  0.240101
2021-09-15 04:10:31.627624 : Epoch  1, Batch   1256, Loss  0.846768, Average Loss  0.876692, Time  0.265820
2021-09-15 04:10:32.451389 : Epoch  5, Batch    333, Loss  0.614987, Average Loss  0.607127, Time  0.231516
2021-09-15 04:10:33.011295 : Epoch  4, Batch    215, Loss  0.606035, Average Loss  0.612130, Time  0.241572
2021-09-15 04:10:33.998371 : Epoch  5, Batch    334, Loss  0.594013, Average Loss  0.607054, Time  0.231803
2021-09-15 04:10:34.545238 : Epoch  4, Batch    216, Loss  0.604954, Average Loss  0.612123, Time  0.238585
2021-09-15 04:10:34.615817 : Epoch  1, Batch   1257, Loss  0.879837, Average Loss  0.876680, Time  0.265095
2021-09-15 04:10:35.545661 : Epoch  5, Batch    335, Loss  0.611197, Average Loss  0.607053, Time  0.231240
2021-09-15 04:10:36.084355 : Epoch  4, Batch    217, Loss  0.607160, Average Loss  0.612119, Time  0.239984
2021-09-15 04:10:37.094634 : Epoch  5, Batch    336, Loss  0.610925, Average Loss  0.607024, Time  0.232128
2021-09-15 04:10:37.624662 : Epoch  1, Batch   1258, Loss  0.840809, Average Loss  0.876527, Time  0.264260
2021-09-15 04:10:37.634389 : Epoch  4, Batch    218, Loss  0.617520, Average Loss  0.612095, Time  0.241425
2021-09-15 04:10:38.646327 : Epoch  5, Batch    337, Loss  0.596439, Average Loss  0.606970, Time  0.232194
2021-09-15 04:10:39.197608 : Epoch  4, Batch    219, Loss  0.608318, Average Loss  0.612074, Time  0.240498
2021-09-15 04:10:40.209434 : Epoch  5, Batch    338, Loss  0.603862, Average Loss  0.606986, Time  0.231564
2021-09-15 04:10:40.614509 : Epoch  1, Batch   1259, Loss  0.866177, Average Loss  0.876565, Time  0.264511
2021-09-15 04:10:40.756827 : Epoch  4, Batch    220, Loss  0.612882, Average Loss  0.612074, Time  0.240004
2021-09-15 04:10:41.758307 : Epoch  5, Batch    339, Loss  0.604741, Average Loss  0.606906, Time  0.232032
2021-09-15 04:10:42.288495 : Epoch  4, Batch    221, Loss  0.612249, Average Loss  0.612098, Time  0.240099
2021-09-15 04:10:43.303778 : Epoch  5, Batch    340, Loss  0.602296, Average Loss  0.606870, Time  0.231561
2021-09-15 04:10:43.594992 : Epoch  1, Batch   1260, Loss  0.874315, Average Loss  0.876548, Time  0.262929
2021-09-15 04:10:43.835087 : Epoch  4, Batch    222, Loss  0.610247, Average Loss  0.612143, Time  0.239253
2021-09-15 04:10:44.844103 : Epoch  5, Batch    341, Loss  0.595574, Average Loss  0.606802, Time  0.232267
2021-09-15 04:10:45.366028 : Epoch  4, Batch    223, Loss  0.621137, Average Loss  0.612179, Time  0.239291
2021-09-15 04:10:46.398050 : Epoch  5, Batch    342, Loss  0.600252, Average Loss  0.606819, Time  0.231647
2021-09-15 04:10:46.577580 : Epoch  1, Batch   1261, Loss  0.869987, Average Loss  0.876490, Time  0.272808
2021-09-15 04:10:46.918785 : Epoch  4, Batch    224, Loss  0.615062, Average Loss  0.612191, Time  0.240026
2021-09-15 04:10:47.948395 : Epoch  5, Batch    343, Loss  0.602889, Average Loss  0.606815, Time  0.231231
2021-09-15 04:10:48.459305 : Epoch  4, Batch    225, Loss  0.608747, Average Loss  0.612198, Time  0.239699
2021-09-15 04:10:49.500252 : Epoch  5, Batch    344, Loss  0.612553, Average Loss  0.606871, Time  0.231642
2021-09-15 04:10:49.587979 : Epoch  1, Batch   1262, Loss  0.842526, Average Loss  0.876330, Time  0.265471
2021-09-15 04:10:49.998981 : Epoch  4, Batch    226, Loss  0.618948, Average Loss  0.612326, Time  0.240983
2021-09-15 04:10:51.046587 : Epoch  5, Batch    345, Loss  0.610948, Average Loss  0.606848, Time  0.231298
2021-09-15 04:10:51.531780 : Epoch  4, Batch    227, Loss  0.618899, Average Loss  0.612434, Time  0.240764
2021-09-15 04:10:52.569912 : Epoch  1, Batch   1263, Loss  0.880357, Average Loss  0.876378, Time  0.264182
2021-09-15 04:10:52.598630 : Epoch  5, Batch    346, Loss  0.618472, Average Loss  0.606955, Time  0.231447
2021-09-15 04:10:53.064286 : Epoch  4, Batch    228, Loss  0.611347, Average Loss  0.612437, Time  0.238972
2021-09-15 04:10:54.152158 : Epoch  5, Batch    347, Loss  0.607415, Average Loss  0.606988, Time  0.231943
2021-09-15 04:10:54.594376 : Epoch  4, Batch    229, Loss  0.609536, Average Loss  0.612383, Time  0.239052
2021-09-15 04:10:55.584521 : Epoch  1, Batch   1264, Loss  0.868417, Average Loss  0.876347, Time  0.266014
2021-09-15 04:10:55.702938 : Epoch  5, Batch    348, Loss  0.599308, Average Loss  0.606977, Time  0.231294
2021-09-15 04:10:56.124046 : Epoch  4, Batch    230, Loss  0.608115, Average Loss  0.612362, Time  0.239109
2021-09-15 04:10:57.235674 : Epoch  5, Batch    349, Loss  0.599500, Average Loss  0.606923, Time  0.231408
2021-09-15 04:10:57.653430 : Epoch  4, Batch    231, Loss  0.611589, Average Loss  0.612360, Time  0.239803
2021-09-15 04:10:58.604607 : Epoch  1, Batch   1265, Loss  0.867240, Average Loss  0.876193, Time  0.265776
2021-09-15 04:10:58.787361 : Epoch  5, Batch    350, Loss  0.592715, Average Loss  0.606877, Time  0.231130
2021-09-15 04:10:59.189977 : Epoch  4, Batch    232, Loss  0.608753, Average Loss  0.612341, Time  0.240438
2021-09-15 04:11:00.331009 : Epoch  5, Batch    351, Loss  0.606567, Average Loss  0.606861, Time  0.231440
2021-09-15 04:11:00.738135 : Epoch  4, Batch    233, Loss  0.610241, Average Loss  0.612331, Time  0.240036
2021-09-15 04:11:01.612051 : Epoch  1, Batch   1266, Loss  0.849446, Average Loss  0.876065, Time  0.265016
2021-09-15 04:11:01.874363 : Epoch  5, Batch    352, Loss  0.608223, Average Loss  0.606862, Time  0.232503
2021-09-15 04:11:02.286719 : Epoch  4, Batch    234, Loss  0.617390, Average Loss  0.612352, Time  0.239774
2021-09-15 04:11:03.819607 : Epoch  4, Batch    235, Loss  0.613738, Average Loss  0.612426, Time  0.238088
2021-09-15 04:11:04.622500 : Epoch  1, Batch   1267, Loss  0.894245, Average Loss  0.876236, Time  0.265308
2021-09-15 04:11:05.372830 : Epoch  4, Batch    236, Loss  0.616698, Average Loss  0.612422, Time  0.239502
2021-09-15 04:11:06.908401 : Epoch  4, Batch    237, Loss  0.608016, Average Loss  0.612370, Time  0.240579
2021-09-15 04:11:07.594572 : Epoch  1, Batch   1268, Loss  0.878770, Average Loss  0.876205, Time  0.266861
2021-09-15 04:11:08.600420 : Epoch  4, Batch    238, Loss  0.628686, Average Loss  0.612464, Time  0.257440
2021-09-15 04:11:10.296476 : Epoch  4, Batch    239, Loss  0.601178, Average Loss  0.612428, Time  0.258557
2021-09-15 04:11:10.617900 : Epoch  1, Batch   1269, Loss  0.876380, Average Loss  0.876307, Time  0.265416
2021-09-15 04:11:13.608991 : Epoch  1, Batch   1270, Loss  0.880119, Average Loss  0.876230, Time  0.265208
2021-09-15 04:11:16.624985 : Epoch  1, Batch   1271, Loss  0.891254, Average Loss  0.876378, Time  0.265643
2021-09-15 04:11:19.632028 : Epoch  1, Batch   1272, Loss  0.873857, Average Loss  0.876262, Time  0.266173
2021-09-15 04:11:22.668720 : Epoch  1, Batch   1273, Loss  0.868545, Average Loss  0.876224, Time  0.265946
2021-09-15 04:11:25.660643 : Epoch  1, Batch   1274, Loss  0.863901, Average Loss  0.876219, Time  0.264766
2021-09-15 04:11:28.663955 : Epoch  1, Batch   1275, Loss  0.885121, Average Loss  0.876287, Time  0.265306
2021-09-15 04:11:31.687654 : Epoch  1, Batch   1276, Loss  0.871407, Average Loss  0.876215, Time  0.275608
2021-09-15 04:11:34.701885 : Epoch  1, Batch   1277, Loss  0.885840, Average Loss  0.876196, Time  0.265640
2021-09-15 04:11:37.701138 : Epoch  1, Batch   1278, Loss  0.879578, Average Loss  0.876299, Time  0.264956
2021-09-15 04:11:40.721789 : Epoch  1, Batch   1279, Loss  0.891861, Average Loss  0.876420, Time  0.265346
2021-09-15 04:11:43.704189 : Epoch  1, Batch   1280, Loss  0.893041, Average Loss  0.876532, Time  0.265455
2021-09-15 04:11:46.731512 : Epoch  1, Batch   1281, Loss  0.876988, Average Loss  0.876579, Time  0.264845
2021-09-15 04:11:49.727429 : Epoch  1, Batch   1282, Loss  0.867965, Average Loss  0.876525, Time  0.265465
2021-09-15 04:11:52.746025 : Epoch  1, Batch   1283, Loss  0.879971, Average Loss  0.876578, Time  0.265953
2021-09-15 04:11:55.784213 : Epoch  1, Batch   1284, Loss  0.896589, Average Loss  0.876663, Time  0.264326
2021-09-15 04:11:58.773462 : Epoch  1, Batch   1285, Loss  0.851472, Average Loss  0.876476, Time  0.265040
2021-09-15 04:11:59.738724 : CheckPoint: Validation Loss  0.00024571, Best Loss  0.00024571
2021-09-15 04:11:59.780555 : Best Model Updated
2021-09-15 04:12:01.762870 : Epoch  1, Batch   1286, Loss  0.880387, Average Loss  0.876485, Time  0.265365
2021-09-15 04:12:01.978996 : Epoch  5, Batch    353, Loss  0.611475, Average Loss  0.606934, Time  0.231766
2021-09-15 04:12:03.543226 : Epoch  5, Batch    354, Loss  0.616437, Average Loss  0.606973, Time  0.231542
2021-09-15 04:12:04.760893 : Epoch  1, Batch   1287, Loss  0.868334, Average Loss  0.876337, Time  0.264591
2021-09-15 04:12:05.104351 : Epoch  5, Batch    355, Loss  0.606712, Average Loss  0.606913, Time  0.230968
2021-09-15 04:12:06.639432 : Epoch  5, Batch    356, Loss  0.597105, Average Loss  0.606880, Time  0.231047
2021-09-15 04:12:06.774951 : Epoch  5, Batch    357, Loss  0.625915, Average Loss  0.606945, Time  0.092682
2021-09-15 04:12:07.299707 : CheckPoint: Validation Loss  0.00025902, Best Loss  0.00025123
2021-09-15 04:12:07.759051 : Epoch  1, Batch   1288, Loss  0.880242, Average Loss  0.876388, Time  0.267043
2021-09-15 04:12:08.305360 : Epoch  5, Batch    358, Loss  0.618900, Average Loss  0.607036, Time  0.231379
2021-09-15 04:12:08.862769 : Epoch  4, Batch    240, Loss  0.621143, Average Loss  0.612484, Time  0.275276
2021-09-15 04:12:09.866293 : Epoch  5, Batch    359, Loss  0.603626, Average Loss  0.607011, Time  0.230699
2021-09-15 04:12:10.412326 : Epoch  4, Batch    241, Loss  0.612413, Average Loss  0.612590, Time  0.256003
2021-09-15 04:12:10.750684 : Epoch  1, Batch   1289, Loss  0.887183, Average Loss  0.876504, Time  0.264988
2021-09-15 04:12:11.413313 : Epoch  5, Batch    360, Loss  0.620746, Average Loss  0.607032, Time  0.231065
2021-09-15 04:12:11.947936 : Epoch  4, Batch    242, Loss  0.608506, Average Loss  0.612495, Time  0.240384
2021-09-15 04:12:12.959027 : Epoch  5, Batch    361, Loss  0.612463, Average Loss  0.607097, Time  0.231361
2021-09-15 04:12:13.478362 : Epoch  4, Batch    243, Loss  0.608634, Average Loss  0.612498, Time  0.241316
2021-09-15 04:12:13.728947 : Epoch  1, Batch   1290, Loss  0.895536, Average Loss  0.876585, Time  0.265604
2021-09-15 04:12:14.495371 : Epoch  5, Batch    362, Loss  0.606646, Average Loss  0.607070, Time  0.231245
2021-09-15 04:12:15.017017 : Epoch  4, Batch    244, Loss  0.593647, Average Loss  0.612390, Time  0.240530
2021-09-15 04:12:16.035777 : Epoch  5, Batch    363, Loss  0.615631, Average Loss  0.607134, Time  0.231579
2021-09-15 04:12:16.620997 : Epoch  4, Batch    245, Loss  0.610229, Average Loss  0.612407, Time  0.240040
2021-09-15 04:12:16.716867 : Epoch  1, Batch   1291, Loss  0.883877, Average Loss  0.876632, Time  0.278049
2021-09-15 04:12:17.579624 : Epoch  5, Batch    364, Loss  0.615620, Average Loss  0.607185, Time  0.231547
2021-09-15 04:12:18.175858 : Epoch  4, Batch    246, Loss  0.617228, Average Loss  0.612422, Time  0.242730
2021-09-15 04:12:19.126052 : Epoch  5, Batch    365, Loss  0.614931, Average Loss  0.607239, Time  0.230905
2021-09-15 04:12:19.696121 : Epoch  1, Batch   1292, Loss  0.900014, Average Loss  0.876764, Time  0.265306
2021-09-15 04:12:19.721418 : Epoch  4, Batch    247, Loss  0.602715, Average Loss  0.612370, Time  0.239089
2021-09-15 04:12:20.662014 : Epoch  5, Batch    366, Loss  0.606043, Average Loss  0.607237, Time  0.231402
2021-09-15 04:12:21.404375 : Epoch  4, Batch    248, Loss  0.620851, Average Loss  0.612372, Time  0.259683
2021-09-15 04:12:22.203726 : Epoch  5, Batch    367, Loss  0.605033, Average Loss  0.607252, Time  0.230378
2021-09-15 04:12:22.713652 : Epoch  1, Batch   1293, Loss  0.872114, Average Loss  0.876773, Time  0.264925
2021-09-15 04:12:23.099174 : Epoch  4, Batch    249, Loss  0.605761, Average Loss  0.612330, Time  0.259664
2021-09-15 04:12:23.731343 : Epoch  5, Batch    368, Loss  0.610841, Average Loss  0.607281, Time  0.230184
2021-09-15 04:12:24.641218 : Epoch  4, Batch    250, Loss  0.610866, Average Loss  0.612337, Time  0.241385
2021-09-15 04:12:25.271279 : Epoch  5, Batch    369, Loss  0.613388, Average Loss  0.607307, Time  0.232990
2021-09-15 04:12:25.693032 : Epoch  1, Batch   1294, Loss  0.877891, Average Loss  0.876731, Time  0.265437
2021-09-15 04:12:26.190724 : Epoch  4, Batch    251, Loss  0.618852, Average Loss  0.612332, Time  0.240016
2021-09-15 04:12:26.809361 : Epoch  5, Batch    370, Loss  0.607179, Average Loss  0.607344, Time  0.230898
2021-09-15 04:12:27.717897 : Epoch  4, Batch    252, Loss  0.609159, Average Loss  0.612300, Time  0.238304
2021-09-15 04:12:28.348562 : Epoch  5, Batch    371, Loss  0.604185, Average Loss  0.607327, Time  0.231135
2021-09-15 04:12:28.690711 : Epoch  1, Batch   1295, Loss  0.898584, Average Loss  0.876805, Time  0.264681
2021-09-15 04:12:29.250898 : Epoch  4, Batch    253, Loss  0.610729, Average Loss  0.612317, Time  0.239722
2021-09-15 04:12:29.895526 : Epoch  5, Batch    372, Loss  0.610270, Average Loss  0.607286, Time  0.232312
2021-09-15 04:12:30.793760 : Epoch  4, Batch    254, Loss  0.613108, Average Loss  0.612372, Time  0.238908
2021-09-15 04:12:31.434080 : Epoch  5, Batch    373, Loss  0.625537, Average Loss  0.607376, Time  0.231093
2021-09-15 04:12:31.689262 : Epoch  1, Batch   1296, Loss  0.874167, Average Loss  0.876737, Time  0.263932
2021-09-15 04:12:32.337920 : Epoch  4, Batch    255, Loss  0.609990, Average Loss  0.612342, Time  0.241959
2021-09-15 04:12:32.982851 : Epoch  5, Batch    374, Loss  0.605207, Average Loss  0.607340, Time  0.231192
2021-09-15 04:12:33.875994 : Epoch  4, Batch    256, Loss  0.611603, Average Loss  0.612293, Time  0.238044
2021-09-15 04:12:34.517054 : Epoch  5, Batch    375, Loss  0.597622, Average Loss  0.607344, Time  0.230627
2021-09-15 04:12:34.671055 : Epoch  1, Batch   1297, Loss  0.873941, Average Loss  0.876751, Time  0.264617
2021-09-15 04:12:35.419101 : Epoch  4, Batch    257, Loss  0.613609, Average Loss  0.612330, Time  0.240503
2021-09-15 04:12:36.056886 : Epoch  5, Batch    376, Loss  0.614225, Average Loss  0.607356, Time  0.230977
2021-09-15 04:12:36.955073 : Epoch  4, Batch    258, Loss  0.611589, Average Loss  0.612319, Time  0.240627
2021-09-15 04:12:37.604096 : Epoch  5, Batch    377, Loss  0.623418, Average Loss  0.607406, Time  0.232613
2021-09-15 04:12:37.647670 : Epoch  1, Batch   1298, Loss  0.880324, Average Loss  0.876784, Time  0.264963
2021-09-15 04:12:38.491371 : Epoch  4, Batch    259, Loss  0.610526, Average Loss  0.612353, Time  0.241173
2021-09-15 04:12:39.158852 : Epoch  5, Batch    378, Loss  0.608856, Average Loss  0.607387, Time  0.232242
2021-09-15 04:12:40.026988 : Epoch  4, Batch    260, Loss  0.614981, Average Loss  0.612333, Time  0.241192
2021-09-15 04:12:40.636661 : Epoch  1, Batch   1299, Loss  0.872609, Average Loss  0.876767, Time  0.265069
2021-09-15 04:12:40.704182 : Epoch  5, Batch    379, Loss  0.606595, Average Loss  0.607341, Time  0.231195
2021-09-15 04:12:41.546382 : Epoch  4, Batch    261, Loss  0.608521, Average Loss  0.612395, Time  0.237847
2021-09-15 04:12:42.240209 : Epoch  5, Batch    380, Loss  0.607900, Average Loss  0.607366, Time  0.231769
2021-09-15 04:12:43.084357 : Epoch  4, Batch    262, Loss  0.606851, Average Loss  0.612404, Time  0.240209
2021-09-15 04:12:43.630488 : Epoch  1, Batch   1300, Loss  0.892431, Average Loss  0.876851, Time  0.264543
2021-09-15 04:12:43.783583 : Epoch  5, Batch    381, Loss  0.599632, Average Loss  0.607274, Time  0.232974
2021-09-15 04:12:44.617907 : Epoch  4, Batch    263, Loss  0.610570, Average Loss  0.612386, Time  0.242302
2021-09-15 04:12:45.317392 : Epoch  5, Batch    382, Loss  0.602809, Average Loss  0.607233, Time  0.231315
2021-09-15 04:12:46.143769 : Epoch  4, Batch    264, Loss  0.612261, Average Loss  0.612352, Time  0.237790
2021-09-15 04:12:46.862240 : Epoch  5, Batch    383, Loss  0.603810, Average Loss  0.607248, Time  0.231299
2021-09-15 04:12:47.683637 : Epoch  4, Batch    265, Loss  0.600280, Average Loss  0.612345, Time  0.240249
2021-09-15 04:12:48.401903 : Epoch  5, Batch    384, Loss  0.619444, Average Loss  0.607328, Time  0.231230
2021-09-15 04:12:49.207930 : Epoch  4, Batch    266, Loss  0.619546, Average Loss  0.612378, Time  0.238675
2021-09-15 04:12:49.943575 : Epoch  5, Batch    385, Loss  0.605622, Average Loss  0.607339, Time  0.231367
2021-09-15 04:12:50.727782 : Epoch  4, Batch    267, Loss  0.610255, Average Loss  0.612375, Time  0.238418
2021-09-15 04:12:51.485116 : Epoch  5, Batch    386, Loss  0.607436, Average Loss  0.607346, Time  0.231516
2021-09-15 04:12:52.266826 : Epoch  4, Batch    268, Loss  0.614085, Average Loss  0.612328, Time  0.242194
2021-09-15 04:12:53.039569 : Epoch  5, Batch    387, Loss  0.599045, Average Loss  0.607297, Time  0.231104
2021-09-15 04:12:53.804376 : Epoch  4, Batch    269, Loss  0.604767, Average Loss  0.612296, Time  0.241078
2021-09-15 04:12:54.585409 : Epoch  5, Batch    388, Loss  0.616356, Average Loss  0.607360, Time  0.231352
2021-09-15 04:12:55.326007 : Epoch  4, Batch    270, Loss  0.616292, Average Loss  0.612289, Time  0.239200
2021-09-15 04:12:56.143209 : Epoch  5, Batch    389, Loss  0.597755, Average Loss  0.607316, Time  0.231898
2021-09-15 04:12:56.853906 : Epoch  4, Batch    271, Loss  0.607747, Average Loss  0.612307, Time  0.242221
2021-09-15 04:12:57.687145 : Epoch  5, Batch    390, Loss  0.617751, Average Loss  0.607347, Time  0.231991
2021-09-15 04:12:58.398038 : Epoch  4, Batch    272, Loss  0.610398, Average Loss  0.612340, Time  0.240703
2021-09-15 04:12:59.252857 : Epoch  5, Batch    391, Loss  0.605264, Average Loss  0.607377, Time  0.233103
2021-09-15 04:13:00.099459 : Epoch  4, Batch    273, Loss  0.607779, Average Loss  0.612311, Time  0.258809
2021-09-15 04:13:00.816398 : Epoch  5, Batch    392, Loss  0.604267, Average Loss  0.607318, Time  0.231312
2021-09-15 04:13:01.777097 : Epoch  4, Batch    274, Loss  0.607145, Average Loss  0.612341, Time  0.256523
2021-09-15 04:13:02.369370 : Epoch  5, Batch    393, Loss  0.623602, Average Loss  0.607381, Time  0.231185
2021-09-15 04:13:03.317971 : Epoch  4, Batch    275, Loss  0.614680, Average Loss  0.612320, Time  0.241004
2021-09-15 04:13:03.918728 : Epoch  5, Batch    394, Loss  0.608632, Average Loss  0.607418, Time  0.231519
2021-09-15 04:13:04.860302 : Epoch  4, Batch    276, Loss  0.604064, Average Loss  0.612264, Time  0.240553
2021-09-15 04:13:05.463010 : Epoch  5, Batch    395, Loss  0.607284, Average Loss  0.607407, Time  0.231457
2021-09-15 04:13:06.392207 : Epoch  4, Batch    277, Loss  0.605197, Average Loss  0.612217, Time  0.239909
2021-09-15 04:13:07.033662 : Epoch  5, Batch    396, Loss  0.605090, Average Loss  0.607457, Time  0.231208
2021-09-15 04:13:07.933988 : Epoch  4, Batch    278, Loss  0.610076, Average Loss  0.612193, Time  0.242304
2021-09-15 04:13:08.574480 : Epoch  5, Batch    397, Loss  0.610516, Average Loss  0.607482, Time  0.231898
2021-09-15 04:13:09.472859 : Epoch  4, Batch    279, Loss  0.602239, Average Loss  0.612185, Time  0.238723
2021-09-15 04:13:10.118735 : Epoch  5, Batch    398, Loss  0.608264, Average Loss  0.607508, Time  0.231538
2021-09-15 04:13:11.001971 : Epoch  4, Batch    280, Loss  0.606915, Average Loss  0.612136, Time  0.239758
2021-09-15 04:13:11.655088 : Epoch  5, Batch    399, Loss  0.610420, Average Loss  0.607562, Time  0.231327
2021-09-15 04:13:12.535795 : Epoch  4, Batch    281, Loss  0.620325, Average Loss  0.612211, Time  0.241383
2021-09-15 04:13:13.199229 : Epoch  5, Batch    400, Loss  0.604262, Average Loss  0.607544, Time  0.231239
2021-09-15 04:13:14.236791 : Epoch  4, Batch    282, Loss  0.610519, Average Loss  0.612149, Time  0.260961
2021-09-15 04:13:14.765382 : Epoch  5, Batch    401, Loss  0.599569, Average Loss  0.607493, Time  0.232114
2021-09-15 04:13:15.929132 : Epoch  4, Batch    283, Loss  0.609336, Average Loss  0.612131, Time  0.260665
2021-09-15 04:13:16.312317 : Epoch  5, Batch    402, Loss  0.616846, Average Loss  0.607524, Time  0.230906
2021-09-15 04:13:17.616823 : Epoch  4, Batch    284, Loss  0.623979, Average Loss  0.612199, Time  0.261104
2021-09-15 04:13:17.849554 : Epoch  5, Batch    403, Loss  0.604531, Average Loss  0.607526, Time  0.232565
2021-09-15 04:13:19.312480 : Epoch  4, Batch    285, Loss  0.620472, Average Loss  0.612307, Time  0.259113
2021-09-15 04:13:19.380593 : Epoch  5, Batch    404, Loss  0.609450, Average Loss  0.607551, Time  0.232428
2021-09-15 04:13:20.909948 : Epoch  5, Batch    405, Loss  0.611056, Average Loss  0.607554, Time  0.231180
2021-09-15 04:13:20.998306 : Epoch  4, Batch    286, Loss  0.620218, Average Loss  0.612289, Time  0.260786
2021-09-15 04:13:22.447705 : Epoch  5, Batch    406, Loss  0.609847, Average Loss  0.607641, Time  0.231957
2021-09-15 04:13:22.521161 : Epoch  4, Batch    287, Loss  0.614383, Average Loss  0.612270, Time  0.237546
2021-09-15 04:13:23.995707 : Epoch  5, Batch    407, Loss  0.607238, Average Loss  0.607708, Time  0.232461
2021-09-15 04:13:24.050363 : Epoch  4, Batch    288, Loss  0.613918, Average Loss  0.612245, Time  0.241297
2021-09-15 04:13:25.539777 : Epoch  5, Batch    408, Loss  0.612405, Average Loss  0.607684, Time  0.232350
2021-09-15 04:13:25.580406 : Epoch  4, Batch    289, Loss  0.610320, Average Loss  0.612224, Time  0.239284
2021-09-15 04:13:27.093344 : Epoch  5, Batch    409, Loss  0.607238, Average Loss  0.607656, Time  0.231898
2021-09-15 04:13:27.130003 : Epoch  4, Batch    290, Loss  0.608440, Average Loss  0.612212, Time  0.240348
2021-09-15 04:13:28.643156 : Epoch  5, Batch    410, Loss  0.611032, Average Loss  0.607731, Time  0.231635
2021-09-15 04:13:28.688116 : Epoch  4, Batch    291, Loss  0.619757, Average Loss  0.612259, Time  0.241615
2021-09-15 04:13:30.201200 : Epoch  5, Batch    411, Loss  0.603489, Average Loss  0.607680, Time  0.231158
2021-09-15 04:13:30.232987 : Epoch  4, Batch    292, Loss  0.621584, Average Loss  0.612327, Time  0.242315
2021-09-15 04:13:31.741304 : Epoch  5, Batch    412, Loss  0.609843, Average Loss  0.607756, Time  0.232207
2021-09-15 04:13:31.773872 : Epoch  4, Batch    293, Loss  0.616348, Average Loss  0.612327, Time  0.239967
2021-09-15 04:13:33.284154 : Epoch  5, Batch    413, Loss  0.603219, Average Loss  0.607704, Time  0.232740
2021-09-15 04:13:33.323453 : Epoch  4, Batch    294, Loss  0.615326, Average Loss  0.612235, Time  0.240664
2021-09-15 04:13:34.827709 : Epoch  5, Batch    414, Loss  0.606297, Average Loss  0.607717, Time  0.231298
2021-09-15 04:13:34.866392 : Epoch  4, Batch    295, Loss  0.615004, Average Loss  0.612278, Time  0.238115
2021-09-15 04:13:36.370908 : Epoch  5, Batch    415, Loss  0.595950, Average Loss  0.607628, Time  0.231199
2021-09-15 04:13:36.406250 : Epoch  4, Batch    296, Loss  0.606972, Average Loss  0.612266, Time  0.238194
2021-09-15 04:13:37.914331 : Epoch  5, Batch    416, Loss  0.611016, Average Loss  0.607573, Time  0.232502
2021-09-15 04:13:37.952448 : Epoch  4, Batch    297, Loss  0.610285, Average Loss  0.612254, Time  0.240324
2021-09-15 04:13:39.468158 : Epoch  5, Batch    417, Loss  0.609939, Average Loss  0.607563, Time  0.232602
2021-09-15 04:13:39.500780 : Epoch  4, Batch    298, Loss  0.602419, Average Loss  0.612190, Time  0.239021
2021-09-15 04:13:41.018408 : Epoch  5, Batch    418, Loss  0.596244, Average Loss  0.607490, Time  0.231461
2021-09-15 04:13:41.059901 : Epoch  4, Batch    299, Loss  0.608935, Average Loss  0.612173, Time  0.239712
2021-09-15 04:13:42.571661 : Epoch  5, Batch    419, Loss  0.602339, Average Loss  0.607462, Time  0.231771
2021-09-15 04:13:42.607162 : Epoch  4, Batch    300, Loss  0.598905, Average Loss  0.612081, Time  0.239010
2021-09-15 04:13:44.116368 : Epoch  5, Batch    420, Loss  0.609869, Average Loss  0.607477, Time  0.231691
2021-09-15 04:13:44.158461 : Epoch  4, Batch    301, Loss  0.612817, Average Loss  0.612094, Time  0.236761
2021-09-15 04:13:45.677779 : Epoch  4, Batch    302, Loss  0.613251, Average Loss  0.612172, Time  0.237967
2021-09-15 04:13:45.710184 : Epoch  5, Batch    421, Loss  0.605443, Average Loss  0.607502, Time  0.231776
2021-09-15 04:13:47.257084 : Epoch  5, Batch    422, Loss  0.594854, Average Loss  0.607447, Time  0.231379
2021-09-15 04:13:47.368884 : Epoch  4, Batch    303, Loss  0.607444, Average Loss  0.612156, Time  0.258593
2021-09-15 04:13:48.811942 : Epoch  5, Batch    423, Loss  0.607481, Average Loss  0.607405, Time  0.231423
2021-09-15 04:13:49.051785 : Epoch  4, Batch    304, Loss  0.599744, Average Loss  0.612081, Time  0.258898
2021-09-15 04:13:50.724423 : Epoch  4, Batch    305, Loss  0.612801, Average Loss  0.612082, Time  0.256079
2021-09-15 04:13:52.401888 : Epoch  4, Batch    306, Loss  0.609200, Average Loss  0.612019, Time  0.257321
2021-09-15 04:13:53.041509 : Epoch  5, Batch    424, Loss  0.617627, Average Loss  0.607432, Time  0.264761
2021-09-15 04:13:54.108862 : Epoch  4, Batch    307, Loss  0.610587, Average Loss  0.612041, Time  0.263227
2021-09-15 04:13:54.604832 : Epoch  5, Batch    425, Loss  0.607640, Average Loss  0.607415, Time  0.238511
2021-09-15 04:13:55.796991 : Epoch  4, Batch    308, Loss  0.612406, Average Loss  0.612074, Time  0.260619
2021-09-15 04:13:56.163953 : Epoch  5, Batch    426, Loss  0.612141, Average Loss  0.607453, Time  0.232258
2021-09-15 04:13:57.476213 : Epoch  4, Batch    309, Loss  0.607177, Average Loss  0.612085, Time  0.259950
2021-09-15 04:13:57.717474 : Epoch  5, Batch    427, Loss  0.615678, Average Loss  0.607454, Time  0.231793
2021-09-15 04:13:59.270125 : Epoch  5, Batch    428, Loss  0.603015, Average Loss  0.607403, Time  0.231811
2021-09-15 04:14:00.825936 : Epoch  5, Batch    429, Loss  0.608553, Average Loss  0.607464, Time  0.232036
2021-09-15 04:14:01.494899 : Epoch  4, Batch    310, Loss  0.618420, Average Loss  0.612081, Time  0.293170
2021-09-15 04:14:02.371879 : Epoch  5, Batch    430, Loss  0.615498, Average Loss  0.607450, Time  0.231746
2021-09-15 04:14:03.205850 : Epoch  4, Batch    311, Loss  0.602296, Average Loss  0.611988, Time  0.273289
2021-09-15 04:14:03.922228 : Epoch  5, Batch    431, Loss  0.609122, Average Loss  0.607458, Time  0.232299
2021-09-15 04:14:04.743972 : Epoch  4, Batch    312, Loss  0.603742, Average Loss  0.611978, Time  0.238936
2021-09-15 04:14:05.482408 : Epoch  5, Batch    432, Loss  0.621041, Average Loss  0.607533, Time  0.231628
2021-09-15 04:14:06.429462 : Epoch  4, Batch    313, Loss  0.602267, Average Loss  0.611927, Time  0.260574
2021-09-15 04:14:07.039977 : Epoch  5, Batch    433, Loss  0.614428, Average Loss  0.607567, Time  0.231533
2021-09-15 04:14:07.958399 : Epoch  4, Batch    314, Loss  0.606404, Average Loss  0.611887, Time  0.238889
2021-09-15 04:14:08.599403 : Epoch  5, Batch    434, Loss  0.605539, Average Loss  0.607566, Time  0.231511
2021-09-15 04:14:09.495111 : Epoch  4, Batch    315, Loss  0.611907, Average Loss  0.611884, Time  0.243708
2021-09-15 04:14:10.169884 : Epoch  5, Batch    435, Loss  0.623969, Average Loss  0.607633, Time  0.232125
2021-09-15 04:14:11.034847 : Epoch  4, Batch    316, Loss  0.607342, Average Loss  0.611859, Time  0.242090
2021-09-15 04:14:11.722102 : Epoch  5, Batch    436, Loss  0.605244, Average Loss  0.607647, Time  0.231791
2021-09-15 04:14:12.571317 : Epoch  4, Batch    317, Loss  0.609729, Average Loss  0.611855, Time  0.240928
2021-09-15 04:14:13.268870 : Epoch  5, Batch    437, Loss  0.610511, Average Loss  0.607681, Time  0.232070
2021-09-15 04:14:14.108121 : Epoch  4, Batch    318, Loss  0.593922, Average Loss  0.611714, Time  0.240162
2021-09-15 04:14:14.820733 : Epoch  5, Batch    438, Loss  0.611144, Average Loss  0.607696, Time  0.231575
2021-09-15 04:14:15.640387 : Epoch  4, Batch    319, Loss  0.609169, Average Loss  0.611624, Time  0.240830
2021-09-15 04:14:16.363720 : Epoch  5, Batch    439, Loss  0.600187, Average Loss  0.607708, Time  0.232086
2021-09-15 04:14:17.170761 : Epoch  4, Batch    320, Loss  0.614643, Average Loss  0.611653, Time  0.242216
2021-09-15 04:14:17.933147 : Epoch  5, Batch    440, Loss  0.597749, Average Loss  0.607635, Time  0.252805
2021-09-15 04:14:18.716380 : Epoch  4, Batch    321, Loss  0.612681, Average Loss  0.611680, Time  0.240189
2021-09-15 04:14:19.480684 : Epoch  5, Batch    441, Loss  0.616726, Average Loss  0.607687, Time  0.231309
2021-09-15 04:14:20.262217 : Epoch  4, Batch    322, Loss  0.605918, Average Loss  0.611613, Time  0.240549
2021-09-15 04:14:21.028672 : Epoch  5, Batch    442, Loss  0.601565, Average Loss  0.607684, Time  0.231740
2021-09-15 04:14:21.792386 : Epoch  4, Batch    323, Loss  0.619884, Average Loss  0.611575, Time  0.239300
2021-09-15 04:14:22.580390 : Epoch  5, Batch    443, Loss  0.607851, Average Loss  0.607649, Time  0.231289
2021-09-15 04:14:23.321821 : Epoch  4, Batch    324, Loss  0.607124, Average Loss  0.611590, Time  0.238911
2021-09-15 04:14:24.135601 : Epoch  5, Batch    444, Loss  0.594810, Average Loss  0.607561, Time  0.232575
2021-09-15 04:14:24.855812 : Epoch  4, Batch    325, Loss  0.606158, Average Loss  0.611576, Time  0.240993
2021-09-15 04:14:25.692670 : Epoch  5, Batch    445, Loss  0.610990, Average Loss  0.607543, Time  0.231350
2021-09-15 04:14:26.397262 : Epoch  4, Batch    326, Loss  0.605434, Average Loss  0.611563, Time  0.238437
2021-09-15 04:14:27.257093 : Epoch  5, Batch    446, Loss  0.604378, Average Loss  0.607561, Time  0.232186
2021-09-15 04:14:27.924410 : Epoch  4, Batch    327, Loss  0.615032, Average Loss  0.611561, Time  0.239550
2021-09-15 04:14:28.801101 : Epoch  5, Batch    447, Loss  0.596198, Average Loss  0.607495, Time  0.231692
2021-09-15 04:14:29.464373 : Epoch  4, Batch    328, Loss  0.614511, Average Loss  0.611531, Time  0.239547
2021-09-15 04:14:30.367368 : Epoch  5, Batch    448, Loss  0.598534, Average Loss  0.607527, Time  0.231181
2021-09-15 04:14:30.996917 : Epoch  4, Batch    329, Loss  0.612311, Average Loss  0.611514, Time  0.241065
2021-09-15 04:14:31.911189 : Epoch  5, Batch    449, Loss  0.602470, Average Loss  0.607579, Time  0.231590
2021-09-15 04:14:32.520408 : Epoch  4, Batch    330, Loss  0.622231, Average Loss  0.611561, Time  0.238861
2021-09-15 04:14:33.457883 : Epoch  5, Batch    450, Loss  0.606896, Average Loss  0.607584, Time  0.232039
2021-09-15 04:14:34.049058 : Epoch  4, Batch    331, Loss  0.613322, Average Loss  0.611556, Time  0.248461
2021-09-15 04:14:35.013149 : Epoch  5, Batch    451, Loss  0.595488, Average Loss  0.607552, Time  0.231896
2021-09-15 04:14:35.574039 : Epoch  4, Batch    332, Loss  0.605217, Average Loss  0.611553, Time  0.239984
2021-09-15 04:14:36.559196 : Epoch  5, Batch    452, Loss  0.614108, Average Loss  0.607601, Time  0.231461
2021-09-15 04:14:37.102253 : Epoch  4, Batch    333, Loss  0.607676, Average Loss  0.611504, Time  0.241630
2021-09-15 04:14:38.654668 : Epoch  4, Batch    334, Loss  0.614819, Average Loss  0.611560, Time  0.239004
2021-09-15 04:14:40.337876 : Epoch  4, Batch    335, Loss  0.614692, Average Loss  0.611560, Time  0.259145
2021-09-15 04:14:42.016056 : Epoch  4, Batch    336, Loss  0.605312, Average Loss  0.611548, Time  0.256680
2021-09-15 04:14:43.568887 : Epoch  4, Batch    337, Loss  0.609908, Average Loss  0.611585, Time  0.241485
2021-09-15 04:14:45.100293 : Epoch  4, Batch    338, Loss  0.612188, Average Loss  0.611574, Time  0.238682
2021-09-15 04:14:46.779438 : Epoch  4, Batch    339, Loss  0.617258, Average Loss  0.611601, Time  0.255884
2021-09-15 04:15:34.645123 : CheckPoint: Validation Loss  0.00024730, Best Loss  0.00024571
2021-09-15 04:15:36.200531 : Epoch  5, Batch    453, Loss  0.601293, Average Loss  0.607595, Time  0.231649
2021-09-15 04:15:37.747136 : Epoch  5, Batch    454, Loss  0.615620, Average Loss  0.607576, Time  0.232920
2021-09-15 04:15:39.295118 : Epoch  5, Batch    455, Loss  0.609896, Average Loss  0.607593, Time  0.231899
2021-09-15 04:15:40.845314 : Epoch  5, Batch    456, Loss  0.606353, Average Loss  0.607563, Time  0.234279
2021-09-15 04:15:42.392725 : Epoch  5, Batch    457, Loss  0.610476, Average Loss  0.607543, Time  0.231348
2021-09-15 04:15:43.940965 : Epoch  5, Batch    458, Loss  0.605385, Average Loss  0.607509, Time  0.234606
2021-09-15 04:15:45.489483 : Epoch  5, Batch    459, Loss  0.606624, Average Loss  0.607466, Time  0.231686
2021-09-15 04:15:47.030526 : Epoch  5, Batch    460, Loss  0.595458, Average Loss  0.607384, Time  0.231231
2021-09-15 04:15:48.577891 : Epoch  5, Batch    461, Loss  0.609815, Average Loss  0.607421, Time  0.231105
2021-09-15 04:15:49.374640 : CheckPoint: Validation Loss  0.00024972, Best Loss  0.00024972
2021-09-15 04:15:49.410561 : Best Model Updated
2021-09-15 04:15:50.146150 : Epoch  5, Batch    462, Loss  0.607092, Average Loss  0.607482, Time  0.232041
2021-09-15 04:15:51.774682 : Epoch  5, Batch    463, Loss  0.611206, Average Loss  0.607490, Time  0.232514
2021-09-15 04:15:52.040893 : Epoch  4, Batch    340, Loss  0.610148, Average Loss  0.611615, Time  0.259393
2021-09-15 04:15:53.334974 : Epoch  5, Batch    464, Loss  0.616088, Average Loss  0.607524, Time  0.231464
2021-09-15 04:15:53.716849 : Epoch  4, Batch    341, Loss  0.616012, Average Loss  0.611643, Time  0.258389
2021-09-15 04:15:54.890297 : Epoch  5, Batch    465, Loss  0.606034, Average Loss  0.607508, Time  0.231720
2021-09-15 04:15:55.390805 : Epoch  4, Batch    342, Loss  0.620029, Average Loss  0.611654, Time  0.261090
2021-09-15 04:15:56.437634 : Epoch  5, Batch    466, Loss  0.614634, Average Loss  0.607525, Time  0.231258
2021-09-15 04:15:57.059115 : Epoch  4, Batch    343, Loss  0.612577, Average Loss  0.611663, Time  0.256997
2021-09-15 04:15:57.988336 : Epoch  5, Batch    467, Loss  0.624833, Average Loss  0.607618, Time  0.231354
2021-09-15 04:15:58.731812 : Epoch  4, Batch    344, Loss  0.610840, Average Loss  0.611653, Time  0.257321
2021-09-15 04:15:59.538071 : Epoch  5, Batch    468, Loss  0.610681, Average Loss  0.607662, Time  0.231081
2021-09-15 04:16:00.413361 : Epoch  4, Batch    345, Loss  0.615449, Average Loss  0.611678, Time  0.260156
2021-09-15 04:16:01.096039 : Epoch  5, Batch    469, Loss  0.598811, Average Loss  0.607657, Time  0.231554
2021-09-15 04:16:02.094966 : Epoch  4, Batch    346, Loss  0.608925, Average Loss  0.611693, Time  0.261315
2021-09-15 04:16:02.636188 : Epoch  5, Batch    470, Loss  0.602252, Average Loss  0.607643, Time  0.231472
2021-09-15 04:16:03.770368 : Epoch  4, Batch    347, Loss  0.609199, Average Loss  0.611724, Time  0.259281
2021-09-15 04:16:04.193147 : Epoch  5, Batch    471, Loss  0.611818, Average Loss  0.607681, Time  0.231250
2021-09-15 04:16:05.456957 : Epoch  4, Batch    348, Loss  0.611478, Average Loss  0.611727, Time  0.258514
2021-09-15 04:16:05.737283 : Epoch  5, Batch    472, Loss  0.616565, Average Loss  0.607731, Time  0.231508
2021-09-15 04:16:07.136947 : Epoch  4, Batch    349, Loss  0.625309, Average Loss  0.611791, Time  0.259424
2021-09-15 04:16:07.286374 : Epoch  5, Batch    473, Loss  0.608368, Average Loss  0.607690, Time  0.230949
2021-09-15 04:16:08.825792 : Epoch  4, Batch    350, Loss  0.623085, Average Loss  0.611865, Time  0.259718
2021-09-15 04:16:08.865395 : Epoch  5, Batch    474, Loss  0.603100, Average Loss  0.607644, Time  0.231448
2021-09-15 04:16:10.357791 : Epoch  4, Batch    351, Loss  0.620712, Average Loss  0.611932, Time  0.240695
2021-09-15 04:16:10.413543 : Epoch  5, Batch    475, Loss  0.612668, Average Loss  0.607655, Time  0.235454
2021-09-15 04:16:11.885445 : Epoch  4, Batch    352, Loss  0.614005, Average Loss  0.611896, Time  0.241158
2021-09-15 04:16:11.967551 : Epoch  5, Batch    476, Loss  0.602378, Average Loss  0.607656, Time  0.231183
2021-09-15 04:16:13.439430 : Epoch  4, Batch    353, Loss  0.609271, Average Loss  0.611942, Time  0.241459
2021-09-15 04:16:13.509772 : Epoch  5, Batch    477, Loss  0.617378, Average Loss  0.607692, Time  0.230800
2021-09-15 04:16:14.983312 : Epoch  4, Batch    354, Loss  0.621697, Average Loss  0.611985, Time  0.241947
2021-09-15 04:16:15.048359 : Epoch  5, Batch    478, Loss  0.605423, Average Loss  0.607713, Time  0.231436
2021-09-15 04:16:16.531922 : Epoch  4, Batch    355, Loss  0.615943, Average Loss  0.611961, Time  0.239689
2021-09-15 04:16:16.598939 : Epoch  5, Batch    479, Loss  0.590765, Average Loss  0.607694, Time  0.232402
2021-09-15 04:16:18.062770 : Epoch  4, Batch    356, Loss  0.599797, Average Loss  0.611925, Time  0.242189
2021-09-15 04:16:18.144384 : Epoch  5, Batch    480, Loss  0.614747, Average Loss  0.607727, Time  0.230957
2021-09-15 04:16:19.590695 : Epoch  4, Batch    357, Loss  0.609150, Average Loss  0.611967, Time  0.237319
2021-09-15 04:16:19.702218 : Epoch  5, Batch    481, Loss  0.604748, Average Loss  0.607695, Time  0.231838
2021-09-15 04:16:21.139071 : Epoch  4, Batch    358, Loss  0.605951, Average Loss  0.611954, Time  0.239451
2021-09-15 04:16:21.236046 : Epoch  5, Batch    482, Loss  0.617879, Average Loss  0.607728, Time  0.231837
2021-09-15 04:16:22.678200 : Epoch  4, Batch    359, Loss  0.612793, Average Loss  0.611970, Time  0.238301
2021-09-15 04:16:22.770558 : Epoch  5, Batch    483, Loss  0.598868, Average Loss  0.607682, Time  0.231048
2021-09-15 04:16:24.224395 : Epoch  4, Batch    360, Loss  0.609684, Average Loss  0.611973, Time  0.241049
2021-09-15 04:16:24.313127 : Epoch  5, Batch    484, Loss  0.607377, Average Loss  0.607688, Time  0.231280
2021-09-15 04:16:25.756034 : Epoch  4, Batch    361, Loss  0.598845, Average Loss  0.611920, Time  0.241261
2021-09-15 04:16:25.860396 : Epoch  5, Batch    485, Loss  0.617713, Average Loss  0.607765, Time  0.230946
2021-09-15 04:16:27.285944 : Epoch  4, Batch    362, Loss  0.607453, Average Loss  0.611868, Time  0.238400
2021-09-15 04:16:27.399888 : Epoch  5, Batch    486, Loss  0.603903, Average Loss  0.607765, Time  0.231258
2021-09-15 04:16:28.818829 : Epoch  4, Batch    363, Loss  0.610656, Average Loss  0.611794, Time  0.239015
2021-09-15 04:16:28.938011 : Epoch  5, Batch    487, Loss  0.607886, Average Loss  0.607790, Time  0.231329
2021-09-15 04:16:30.373442 : Epoch  4, Batch    364, Loss  0.623442, Average Loss  0.611786, Time  0.240721
2021-09-15 04:16:30.505416 : Epoch  5, Batch    488, Loss  0.602657, Average Loss  0.607854, Time  0.231361
2021-09-15 04:16:31.925938 : Epoch  4, Batch    365, Loss  0.615121, Average Loss  0.611799, Time  0.240598
2021-09-15 04:16:32.046978 : Epoch  5, Batch    489, Loss  0.601316, Average Loss  0.607802, Time  0.231812
2021-09-15 04:16:33.456101 : Epoch  4, Batch    366, Loss  0.606928, Average Loss  0.611772, Time  0.239177
2021-09-15 04:16:33.584325 : Epoch  5, Batch    490, Loss  0.609622, Average Loss  0.607884, Time  0.231393
2021-09-15 04:16:34.982795 : Epoch  4, Batch    367, Loss  0.596979, Average Loss  0.611688, Time  0.238937
2021-09-15 04:16:35.116398 : Epoch  5, Batch    491, Loss  0.606497, Average Loss  0.607851, Time  0.231561
2021-09-15 04:16:36.510604 : Epoch  4, Batch    368, Loss  0.617819, Average Loss  0.611721, Time  0.237492
2021-09-15 04:16:36.652226 : Epoch  5, Batch    492, Loss  0.597432, Average Loss  0.607819, Time  0.231702
2021-09-15 04:16:38.058440 : Epoch  4, Batch    369, Loss  0.614587, Average Loss  0.611767, Time  0.241818
2021-09-15 04:16:38.188593 : Epoch  5, Batch    493, Loss  0.602518, Average Loss  0.607777, Time  0.231100
2021-09-15 04:16:39.592377 : Epoch  4, Batch    370, Loss  0.617863, Average Loss  0.611851, Time  0.241002
2021-09-15 04:16:39.720921 : Epoch  5, Batch    494, Loss  0.610742, Average Loss  0.607769, Time  0.231203
2021-09-15 04:16:41.138833 : Epoch  4, Batch    371, Loss  0.601603, Average Loss  0.611767, Time  0.241419
2021-09-15 04:16:41.264025 : Epoch  5, Batch    495, Loss  0.596782, Average Loss  0.607737, Time  0.231630
2021-09-15 04:16:42.674426 : Epoch  4, Batch    372, Loss  0.626951, Average Loss  0.611865, Time  0.241017
2021-09-15 04:16:42.802808 : Epoch  5, Batch    496, Loss  0.606405, Average Loss  0.607746, Time  0.231539
2021-09-15 04:16:44.206917 : Epoch  4, Batch    373, Loss  0.608725, Average Loss  0.611787, Time  0.241403
2021-09-15 04:16:44.343349 : Epoch  5, Batch    497, Loss  0.606167, Average Loss  0.607747, Time  0.231567
2021-09-15 04:16:45.737064 : Epoch  4, Batch    374, Loss  0.622650, Average Loss  0.611876, Time  0.240845
2021-09-15 04:16:45.892211 : Epoch  5, Batch    498, Loss  0.613263, Average Loss  0.607726, Time  0.231330
2021-09-15 04:16:47.278086 : Epoch  4, Batch    375, Loss  0.604975, Average Loss  0.611830, Time  0.240449
2021-09-15 04:16:47.438321 : Epoch  5, Batch    499, Loss  0.608799, Average Loss  0.607700, Time  0.231462
2021-09-15 04:16:48.827049 : Epoch  4, Batch    376, Loss  0.624117, Average Loss  0.611849, Time  0.242137
2021-09-15 04:16:48.977369 : Epoch  5, Batch    500, Loss  0.615473, Average Loss  0.607720, Time  0.231580
2021-09-15 04:16:50.358891 : Epoch  4, Batch    377, Loss  0.615764, Average Loss  0.611795, Time  0.240727
2021-09-15 04:16:50.517525 : Epoch  5, Batch    501, Loss  0.604971, Average Loss  0.607649, Time  0.231402
2021-09-15 04:16:51.892747 : Epoch  4, Batch    378, Loss  0.620424, Average Loss  0.611866, Time  0.243837
2021-09-15 04:16:52.071605 : Epoch  5, Batch    502, Loss  0.599230, Average Loss  0.607663, Time  0.231145
2021-09-15 04:16:53.429343 : Epoch  4, Batch    379, Loss  0.603723, Average Loss  0.611812, Time  0.241743
2021-09-15 04:16:53.619405 : Epoch  5, Batch    503, Loss  0.595417, Average Loss  0.607585, Time  0.233109
2021-09-15 04:16:54.968963 : Epoch  4, Batch    380, Loss  0.614088, Average Loss  0.611798, Time  0.241266
2021-09-15 04:16:55.167402 : Epoch  5, Batch    504, Loss  0.610091, Average Loss  0.607581, Time  0.231580
2021-09-15 04:16:56.492421 : Epoch  4, Batch    381, Loss  0.612853, Average Loss  0.611815, Time  0.237690
2021-09-15 04:16:56.712202 : Epoch  5, Batch    505, Loss  0.610672, Average Loss  0.607542, Time  0.231151
2021-09-15 04:16:58.018814 : Epoch  4, Batch    382, Loss  0.603803, Average Loss  0.611716, Time  0.239264
2021-09-15 04:16:58.257698 : Epoch  5, Batch    506, Loss  0.605764, Average Loss  0.607565, Time  0.231783
2021-09-15 04:16:59.547850 : Epoch  4, Batch    383, Loss  0.622613, Average Loss  0.611741, Time  0.241854
2021-09-15 04:16:59.799888 : Epoch  5, Batch    507, Loss  0.603117, Average Loss  0.607509, Time  0.231344
2021-09-15 04:17:01.072365 : Epoch  4, Batch    384, Loss  0.603273, Average Loss  0.611687, Time  0.239268
2021-09-15 04:17:01.375383 : Epoch  5, Batch    508, Loss  0.597815, Average Loss  0.607459, Time  0.231663
2021-09-15 04:17:02.758002 : Epoch  4, Batch    385, Loss  0.607914, Average Loss  0.611674, Time  0.258065
2021-09-15 04:17:02.937335 : Epoch  5, Batch    509, Loss  0.609422, Average Loss  0.607491, Time  0.231964
2021-09-15 04:17:04.465508 : Epoch  4, Batch    386, Loss  0.617563, Average Loss  0.611747, Time  0.260877
2021-09-15 04:17:04.501417 : Epoch  5, Batch    510, Loss  0.610825, Average Loss  0.607563, Time  0.231716
2021-09-15 04:17:06.050296 : Epoch  5, Batch    511, Loss  0.599615, Average Loss  0.607500, Time  0.231106
2021-09-15 04:17:06.151885 : Epoch  4, Batch    387, Loss  0.608850, Average Loss  0.611738, Time  0.258932
2021-09-15 04:17:07.592987 : Epoch  5, Batch    512, Loss  0.606129, Average Loss  0.607526, Time  0.231092
2021-09-15 04:17:07.827880 : Epoch  4, Batch    388, Loss  0.604020, Average Loss  0.611714, Time  0.258619
2021-09-15 04:17:09.140063 : Epoch  5, Batch    513, Loss  0.608852, Average Loss  0.607519, Time  0.231026
2021-09-15 04:17:09.518075 : Epoch  4, Batch    389, Loss  0.607961, Average Loss  0.611742, Time  0.261547
2021-09-15 04:17:10.690887 : Epoch  5, Batch    514, Loss  0.601610, Average Loss  0.607487, Time  0.232611
2021-09-15 04:17:11.069435 : Epoch  4, Batch    390, Loss  0.604019, Average Loss  0.611680, Time  0.239703
2021-09-15 04:17:12.250832 : Epoch  5, Batch    515, Loss  0.613973, Average Loss  0.607618, Time  0.232015
2021-09-15 04:17:12.599356 : Epoch  4, Batch    391, Loss  0.619921, Average Loss  0.611695, Time  0.242104
2021-09-15 04:17:13.795956 : Epoch  5, Batch    516, Loss  0.611549, Average Loss  0.607681, Time  0.231867
2021-09-15 04:17:14.135949 : Epoch  4, Batch    392, Loss  0.624307, Average Loss  0.611735, Time  0.241093
2021-09-15 04:17:15.338535 : Epoch  5, Batch    517, Loss  0.587994, Average Loss  0.607545, Time  0.231932
2021-09-15 04:17:15.667403 : Epoch  4, Batch    393, Loss  0.616841, Average Loss  0.611718, Time  0.241297
2021-09-15 04:17:16.882268 : Epoch  5, Batch    518, Loss  0.607551, Average Loss  0.607538, Time  0.230702
2021-09-15 04:17:17.199980 : Epoch  4, Batch    394, Loss  0.607004, Average Loss  0.611692, Time  0.238846
2021-09-15 04:17:18.420361 : Epoch  5, Batch    519, Loss  0.594095, Average Loss  0.607531, Time  0.230877
2021-09-15 04:17:18.729383 : Epoch  4, Batch    395, Loss  0.598617, Average Loss  0.611585, Time  0.239404
2021-09-15 04:17:19.968348 : Epoch  5, Batch    520, Loss  0.599295, Average Loss  0.607533, Time  0.231075
2021-09-15 04:17:20.251380 : Epoch  4, Batch    396, Loss  0.619739, Average Loss  0.611567, Time  0.240916
2021-09-15 04:17:21.513157 : Epoch  5, Batch    521, Loss  0.595228, Average Loss  0.607461, Time  0.231046
2021-09-15 04:17:21.782014 : Epoch  4, Batch    397, Loss  0.620997, Average Loss  0.611598, Time  0.241568
2021-09-15 04:17:23.059955 : Epoch  5, Batch    522, Loss  0.600819, Average Loss  0.607389, Time  0.231168
2021-09-15 04:17:23.312046 : Epoch  4, Batch    398, Loss  0.603876, Average Loss  0.611535, Time  0.240618
2021-09-15 04:17:24.826408 : CheckPoint: Validation Loss  0.00030558, Best Loss  0.00029921
2021-09-15 04:17:24.842375 : Epoch  4, Batch    399, Loss  0.607601, Average Loss  0.611532, Time  0.240493
2021-09-15 04:17:26.388060 : Epoch  4, Batch    400, Loss  0.623226, Average Loss  0.611610, Time  0.241672
2021-09-15 04:17:26.948952 : Epoch  5, Batch    523, Loss  0.603295, Average Loss  0.607346, Time  0.262014
2021-09-15 04:17:27.825658 : Epoch  1, Batch   1301, Loss  0.895245, Average Loss  0.876872, Time  0.266856
2021-09-15 04:17:27.928413 : Epoch  4, Batch    401, Loss  0.604486, Average Loss  0.611591, Time  0.242662
2021-09-15 04:17:28.497958 : Epoch  5, Batch    524, Loss  0.598841, Average Loss  0.607332, Time  0.238420
2021-09-15 04:17:29.464869 : Epoch  4, Batch    402, Loss  0.608572, Average Loss  0.611517, Time  0.241450
2021-09-15 04:17:30.027755 : Epoch  5, Batch    525, Loss  0.604006, Average Loss  0.607318, Time  0.230777
2021-09-15 04:17:30.829015 : Epoch  1, Batch   1302, Loss  0.879835, Average Loss  0.876960, Time  0.265298
2021-09-15 04:17:31.002424 : Epoch  4, Batch    403, Loss  0.615170, Average Loss  0.611517, Time  0.243599
2021-09-15 04:17:31.590906 : Epoch  5, Batch    526, Loss  0.623685, Average Loss  0.607472, Time  0.230752
2021-09-15 04:17:32.542187 : Epoch  4, Batch    404, Loss  0.606122, Average Loss  0.611454, Time  0.242162
2021-09-15 04:17:33.136530 : Epoch  5, Batch    527, Loss  0.605335, Average Loss  0.607469, Time  0.230868
2021-09-15 04:17:33.822785 : Epoch  1, Batch   1303, Loss  0.856952, Average Loss  0.876948, Time  0.264563
2021-09-15 04:17:34.075399 : Epoch  4, Batch    405, Loss  0.609199, Average Loss  0.611472, Time  0.241677
2021-09-15 04:17:34.667014 : Epoch  5, Batch    528, Loss  0.593042, Average Loss  0.607299, Time  0.230967
2021-09-15 04:17:35.611853 : Epoch  4, Batch    406, Loss  0.607575, Average Loss  0.611456, Time  0.240031
2021-09-15 04:17:36.205515 : Epoch  5, Batch    529, Loss  0.622492, Average Loss  0.607399, Time  0.230454
2021-09-15 04:17:36.827766 : Epoch  1, Batch   1304, Loss  0.890804, Average Loss  0.877152, Time  0.265022
2021-09-15 04:17:37.149792 : Epoch  4, Batch    407, Loss  0.611659, Average Loss  0.611451, Time  0.241844
2021-09-15 04:17:37.738442 : Epoch  5, Batch    530, Loss  0.607803, Average Loss  0.607338, Time  0.230427
2021-09-15 04:17:38.700959 : Epoch  4, Batch    408, Loss  0.604469, Average Loss  0.611386, Time  0.240718
2021-09-15 04:17:39.281099 : Epoch  5, Batch    531, Loss  0.608984, Average Loss  0.607347, Time  0.231316
2021-09-15 04:17:39.848375 : Epoch  1, Batch   1305, Loss  0.874631, Average Loss  0.877138, Time  0.275169
2021-09-15 04:17:40.234394 : Epoch  4, Batch    409, Loss  0.612487, Average Loss  0.611383, Time  0.238592
2021-09-15 04:17:40.826920 : Epoch  5, Batch    532, Loss  0.598900, Average Loss  0.607246, Time  0.231329
2021-09-15 04:17:42.359991 : Epoch  5, Batch    533, Loss  0.609208, Average Loss  0.607217, Time  0.230935
2021-09-15 04:17:42.839103 : Epoch  1, Batch   1306, Loss  0.883567, Average Loss  0.877090, Time  0.265603
2021-09-15 04:17:43.908066 : Epoch  5, Batch    534, Loss  0.601432, Average Loss  0.607254, Time  0.231323
2021-09-15 04:17:44.195955 : Epoch  4, Batch    410, Loss  0.613396, Average Loss  0.611415, Time  0.269102
2021-09-15 04:17:45.439392 : Epoch  5, Batch    535, Loss  0.599532, Average Loss  0.607196, Time  0.231211
2021-09-15 04:17:45.718884 : Epoch  4, Batch    411, Loss  0.606930, Average Loss  0.611401, Time  0.246922
2021-09-15 04:17:45.851026 : Epoch  1, Batch   1307, Loss  0.886945, Average Loss  0.877111, Time  0.266607
2021-09-15 04:17:46.975043 : Epoch  5, Batch    536, Loss  0.596429, Average Loss  0.607123, Time  0.230864
2021-09-15 04:17:47.235447 : Epoch  4, Batch    412, Loss  0.610092, Average Loss  0.611403, Time  0.242290
2021-09-15 04:17:48.532968 : Epoch  5, Batch    537, Loss  0.597073, Average Loss  0.607126, Time  0.231848
2021-09-15 04:17:48.768787 : Epoch  4, Batch    413, Loss  0.609637, Average Loss  0.611374, Time  0.245186
2021-09-15 04:17:48.879137 : Epoch  1, Batch   1308, Loss  0.885898, Average Loss  0.877158, Time  0.264504
2021-09-15 04:17:50.074343 : Epoch  5, Batch    538, Loss  0.607909, Average Loss  0.607147, Time  0.231068
2021-09-15 04:17:50.296802 : Epoch  4, Batch    414, Loss  0.626217, Average Loss  0.611467, Time  0.241291
2021-09-15 04:17:51.612274 : Epoch  5, Batch    539, Loss  0.600399, Average Loss  0.607125, Time  0.231052
2021-09-15 04:17:51.828007 : Epoch  4, Batch    415, Loss  0.610817, Average Loss  0.611491, Time  0.242058
2021-09-15 04:17:51.886253 : Epoch  1, Batch   1309, Loss  0.897736, Average Loss  0.877398, Time  0.265584
2021-09-15 04:17:53.154058 : Epoch  5, Batch    540, Loss  0.596942, Average Loss  0.607098, Time  0.231296
2021-09-15 04:17:53.355865 : Epoch  4, Batch    416, Loss  0.604680, Average Loss  0.611490, Time  0.240243
2021-09-15 04:17:54.703151 : Epoch  5, Batch    541, Loss  0.605531, Average Loss  0.607148, Time  0.231149
2021-09-15 04:17:54.879405 : Epoch  4, Batch    417, Loss  0.602121, Average Loss  0.611464, Time  0.238971
2021-09-15 04:17:54.923906 : Epoch  1, Batch   1310, Loss  0.872906, Average Loss  0.877521, Time  0.266284
2021-09-15 04:17:56.244390 : Epoch  5, Batch    542, Loss  0.603120, Average Loss  0.607162, Time  0.231043
2021-09-15 04:17:56.418648 : Epoch  4, Batch    418, Loss  0.615122, Average Loss  0.611452, Time  0.244437
2021-09-15 04:17:57.790046 : Epoch  5, Batch    543, Loss  0.617298, Average Loss  0.607234, Time  0.231253
2021-09-15 04:17:57.944727 : Epoch  1, Batch   1311, Loss  0.868286, Average Loss  0.877458, Time  0.266437
2021-09-15 04:17:58.094368 : Epoch  4, Batch    419, Loss  0.605958, Average Loss  0.611441, Time  0.256911
2021-09-15 04:17:59.332900 : Epoch  5, Batch    544, Loss  0.599338, Average Loss  0.607168, Time  0.231596
2021-09-15 04:17:59.770830 : Epoch  4, Batch    420, Loss  0.611338, Average Loss  0.611433, Time  0.260856
2021-09-15 04:18:00.880356 : Epoch  5, Batch    545, Loss  0.601708, Average Loss  0.607122, Time  0.231457
2021-09-15 04:18:00.971028 : Epoch  1, Batch   1312, Loss  0.900020, Average Loss  0.877527, Time  0.265597
2021-09-15 04:18:01.448821 : Epoch  4, Batch    421, Loss  0.607969, Average Loss  0.611411, Time  0.257432
2021-09-15 04:18:02.435376 : Epoch  5, Batch    546, Loss  0.608409, Average Loss  0.607072, Time  0.231810
2021-09-15 04:18:03.132812 : Epoch  4, Batch    422, Loss  0.613759, Average Loss  0.611429, Time  0.259771
2021-09-15 04:18:03.960457 : Epoch  1, Batch   1313, Loss  0.884959, Average Loss  0.877532, Time  0.263731
2021-09-15 04:18:03.974202 : Epoch  5, Batch    547, Loss  0.624320, Average Loss  0.607156, Time  0.232667
2021-09-15 04:18:04.832179 : Epoch  4, Batch    423, Loss  0.606292, Average Loss  0.611355, Time  0.260276
2021-09-15 04:18:05.539111 : Epoch  5, Batch    548, Loss  0.612616, Average Loss  0.607223, Time  0.232156
2021-09-15 04:18:06.521390 : Epoch  4, Batch    424, Loss  0.600126, Average Loss  0.611280, Time  0.258857
2021-09-15 04:18:06.981268 : Epoch  1, Batch   1314, Loss  0.872072, Average Loss  0.877464, Time  0.265407
2021-09-15 04:18:07.082834 : Epoch  5, Batch    549, Loss  0.614123, Average Loss  0.607296, Time  0.231209
2021-09-15 04:18:08.044408 : Epoch  4, Batch    425, Loss  0.617486, Average Loss  0.611324, Time  0.236382
2021-09-15 04:18:08.628213 : Epoch  5, Batch    550, Loss  0.618091, Average Loss  0.607423, Time  0.231470
2021-09-15 04:18:09.568773 : Epoch  4, Batch    426, Loss  0.617253, Average Loss  0.611315, Time  0.240056
2021-09-15 04:18:09.972885 : Epoch  1, Batch   1315, Loss  0.880294, Average Loss  0.877335, Time  0.266807
2021-09-15 04:18:10.172094 : Epoch  5, Batch    551, Loss  0.609417, Average Loss  0.607437, Time  0.231787
2021-09-15 04:18:11.105334 : Epoch  4, Batch    427, Loss  0.605228, Average Loss  0.611247, Time  0.240906
2021-09-15 04:18:11.709427 : Epoch  5, Batch    552, Loss  0.600257, Average Loss  0.607397, Time  0.232488
2021-09-15 04:18:12.623781 : Epoch  4, Batch    428, Loss  0.628197, Average Loss  0.611331, Time  0.238192
2021-09-15 04:18:12.956013 : Epoch  1, Batch   1316, Loss  0.878246, Average Loss  0.877314, Time  0.264523
2021-09-15 04:18:14.169463 : Epoch  4, Batch    429, Loss  0.617261, Average Loss  0.611370, Time  0.240194
2021-09-15 04:18:15.709060 : Epoch  4, Batch    430, Loss  0.618850, Average Loss  0.611424, Time  0.239828
2021-09-15 04:18:15.962558 : Epoch  1, Batch   1317, Loss  0.879319, Average Loss  0.877317, Time  0.265217
2021-09-15 04:18:17.247051 : Epoch  4, Batch    431, Loss  0.621638, Average Loss  0.611474, Time  0.238931
2021-09-15 04:18:18.780349 : Epoch  4, Batch    432, Loss  0.608244, Average Loss  0.611471, Time  0.239118
2021-09-15 04:18:18.969459 : Epoch  1, Batch   1318, Loss  0.877883, Average Loss  0.877307, Time  0.264592
2021-09-15 04:18:20.473137 : Epoch  4, Batch    433, Loss  0.611595, Average Loss  0.611478, Time  0.257729
2021-09-15 04:18:21.951497 : Epoch  1, Batch   1319, Loss  0.858199, Average Loss  0.877181, Time  0.264697
2021-09-15 04:18:22.014819 : Epoch  4, Batch    434, Loss  0.623342, Average Loss  0.611508, Time  0.242994
2021-09-15 04:18:23.561208 : Epoch  4, Batch    435, Loss  0.608447, Average Loss  0.611481, Time  0.241249
2021-09-15 04:18:24.958040 : Epoch  1, Batch   1320, Loss  0.888144, Average Loss  0.877147, Time  0.276113
2021-09-15 04:18:25.082450 : Epoch  4, Batch    436, Loss  0.604327, Average Loss  0.611419, Time  0.238383
2021-09-15 04:18:26.627114 : Epoch  4, Batch    437, Loss  0.605029, Average Loss  0.611405, Time  0.239562
2021-09-15 04:18:27.971818 : Epoch  1, Batch   1321, Loss  0.882909, Average Loss  0.877195, Time  0.264864
2021-09-15 04:18:28.151006 : Epoch  4, Batch    438, Loss  0.621317, Average Loss  0.611368, Time  0.237978
2021-09-15 04:18:29.676985 : Epoch  4, Batch    439, Loss  0.599016, Average Loss  0.611357, Time  0.239674
2021-09-15 04:18:30.966083 : Epoch  1, Batch   1322, Loss  0.872543, Average Loss  0.877122, Time  0.264288
2021-09-15 04:18:34.001143 : Epoch  1, Batch   1323, Loss  0.892536, Average Loss  0.877283, Time  0.265920
2021-09-15 04:18:37.031180 : Epoch  1, Batch   1324, Loss  0.868621, Average Loss  0.877269, Time  0.268127
2021-09-15 04:18:40.037964 : Epoch  1, Batch   1325, Loss  0.882180, Average Loss  0.877220, Time  0.265071
2021-09-15 04:18:43.042759 : Epoch  1, Batch   1326, Loss  0.873823, Average Loss  0.877212, Time  0.264698
2021-09-15 04:18:46.054438 : Epoch  1, Batch   1327, Loss  0.871971, Average Loss  0.877159, Time  0.267718
2021-09-15 04:18:49.079167 : Epoch  1, Batch   1328, Loss  0.866637, Average Loss  0.877020, Time  0.266378
2021-09-15 04:18:52.075493 : Epoch  1, Batch   1329, Loss  0.863992, Average Loss  0.876968, Time  0.265212
2021-09-15 04:18:55.097233 : Epoch  1, Batch   1330, Loss  0.881664, Average Loss  0.876991, Time  0.264597
2021-09-15 04:18:58.093134 : Epoch  1, Batch   1331, Loss  0.857325, Average Loss  0.876861, Time  0.266280
2021-09-15 04:19:01.106546 : Epoch  1, Batch   1332, Loss  0.858565, Average Loss  0.876808, Time  0.264843
2021-09-15 04:19:04.123124 : Epoch  1, Batch   1333, Loss  0.883076, Average Loss  0.876861, Time  0.265502
2021-09-15 04:19:07.105162 : Epoch  1, Batch   1334, Loss  0.867802, Average Loss  0.876837, Time  0.264614
2021-09-15 04:19:09.450732 : CheckPoint: Validation Loss  0.00024995, Best Loss  0.00024571
2021-09-15 04:19:10.115508 : Epoch  1, Batch   1335, Loss  0.872377, Average Loss  0.876795, Time  0.274314
2021-09-15 04:19:11.010059 : Epoch  5, Batch    553, Loss  0.605579, Average Loss  0.607368, Time  0.249431
2021-09-15 04:19:12.550958 : Epoch  5, Batch    554, Loss  0.598663, Average Loss  0.607279, Time  0.231686
2021-09-15 04:19:13.122137 : Epoch  1, Batch   1336, Loss  0.903661, Average Loss  0.876955, Time  0.265090
2021-09-15 04:19:14.095645 : Epoch  5, Batch    555, Loss  0.623649, Average Loss  0.607364, Time  0.231058
2021-09-15 04:19:15.635312 : Epoch  5, Batch    556, Loss  0.608816, Average Loss  0.607422, Time  0.231171
2021-09-15 04:19:16.144941 : Epoch  1, Batch   1337, Loss  0.876434, Average Loss  0.876959, Time  0.265510
2021-09-15 04:19:17.210191 : Epoch  5, Batch    557, Loss  0.602761, Average Loss  0.607306, Time  0.232080
2021-09-15 04:19:18.743841 : Epoch  5, Batch    558, Loss  0.608946, Average Loss  0.607257, Time  0.231473
2021-09-15 04:19:19.156365 : Epoch  1, Batch   1338, Loss  0.850190, Average Loss  0.876831, Time  0.264035
2021-09-15 04:19:20.284336 : Epoch  5, Batch    559, Loss  0.604748, Average Loss  0.607262, Time  0.231094
2021-09-15 04:19:21.841127 : Epoch  5, Batch    560, Loss  0.600949, Average Loss  0.607163, Time  0.232108
2021-09-15 04:19:22.148313 : Epoch  1, Batch   1339, Loss  0.878134, Average Loss  0.876811, Time  0.265058
2021-09-15 04:19:23.382356 : Epoch  5, Batch    561, Loss  0.616938, Average Loss  0.607186, Time  0.231456
2021-09-15 04:19:24.923075 : Epoch  5, Batch    562, Loss  0.606968, Average Loss  0.607187, Time  0.231424
2021-09-15 04:19:25.164864 : Epoch  1, Batch   1340, Loss  0.840064, Average Loss  0.876542, Time  0.264398
2021-09-15 04:19:26.464480 : Epoch  5, Batch    563, Loss  0.615888, Average Loss  0.607188, Time  0.231432
2021-09-15 04:19:26.589506 : CheckPoint: Validation Loss  0.00026457, Best Loss  0.00024972
2021-09-15 04:19:28.023016 : Epoch  5, Batch    564, Loss  0.614169, Average Loss  0.607181, Time  0.232865
2021-09-15 04:19:28.115225 : Epoch  4, Batch    440, Loss  0.605102, Average Loss  0.611277, Time  0.240435
2021-09-15 04:19:28.147911 : Epoch  1, Batch   1341, Loss  0.878683, Average Loss  0.876442, Time  0.264401
2021-09-15 04:19:29.572054 : Epoch  5, Batch    565, Loss  0.609510, Average Loss  0.607154, Time  0.232034
2021-09-15 04:19:29.622772 : Epoch  4, Batch    441, Loss  0.612310, Average Loss  0.611276, Time  0.238275
2021-09-15 04:19:31.119842 : Epoch  5, Batch    566, Loss  0.604425, Average Loss  0.607146, Time  0.231581
2021-09-15 04:19:31.145151 : Epoch  1, Batch   1342, Loss  0.852121, Average Loss  0.876350, Time  0.264484
2021-09-15 04:19:31.154941 : Epoch  4, Batch    442, Loss  0.613011, Average Loss  0.611299, Time  0.238420
2021-09-15 04:19:32.675011 : Epoch  5, Batch    567, Loss  0.598474, Average Loss  0.607113, Time  0.231572
2021-09-15 04:19:32.845458 : Epoch  4, Batch    443, Loss  0.611386, Average Loss  0.611312, Time  0.257568
2021-09-15 04:19:34.155907 : Epoch  1, Batch   1343, Loss  0.894049, Average Loss  0.876492, Time  0.265074
2021-09-15 04:19:34.213631 : Epoch  5, Batch    568, Loss  0.595916, Average Loss  0.607039, Time  0.232514
2021-09-15 04:19:34.512825 : Epoch  4, Batch    444, Loss  0.614191, Average Loss  0.611415, Time  0.259049
2021-09-15 04:19:35.759035 : Epoch  5, Batch    569, Loss  0.594411, Average Loss  0.606944, Time  0.231173
2021-09-15 04:19:36.183984 : Epoch  4, Batch    445, Loss  0.628430, Average Loss  0.611506, Time  0.261055
2021-09-15 04:19:37.158103 : Epoch  1, Batch   1344, Loss  0.880430, Average Loss  0.876400, Time  0.265944
2021-09-15 04:19:37.302368 : Epoch  5, Batch    570, Loss  0.597922, Average Loss  0.606897, Time  0.233109
2021-09-15 04:19:37.715389 : Epoch  4, Batch    446, Loss  0.605532, Average Loss  0.611448, Time  0.239305
2021-09-15 04:19:38.834853 : Epoch  5, Batch    571, Loss  0.610532, Average Loss  0.606929, Time  0.231184
2021-09-15 04:19:39.243044 : Epoch  4, Batch    447, Loss  0.616925, Average Loss  0.611519, Time  0.239567
2021-09-15 04:19:40.145448 : Epoch  1, Batch   1345, Loss  0.862947, Average Loss  0.876343, Time  0.267028
2021-09-15 04:19:40.378980 : Epoch  5, Batch    572, Loss  0.610341, Average Loss  0.606930, Time  0.230955
2021-09-15 04:19:40.753968 : Epoch  4, Batch    448, Loss  0.597617, Average Loss  0.611403, Time  0.240530
2021-09-15 04:19:41.915086 : Epoch  5, Batch    573, Loss  0.602082, Average Loss  0.606812, Time  0.231244
2021-09-15 04:19:42.271683 : Epoch  4, Batch    449, Loss  0.611729, Average Loss  0.611432, Time  0.239643
2021-09-15 04:19:43.162507 : Epoch  1, Batch   1346, Loss  0.889610, Average Loss  0.876393, Time  0.266171
2021-09-15 04:19:43.454929 : Epoch  5, Batch    574, Loss  0.604391, Average Loss  0.606808, Time  0.231736
2021-09-15 04:19:43.789316 : Epoch  4, Batch    450, Loss  0.616767, Average Loss  0.611462, Time  0.238812
2021-09-15 04:19:44.988084 : Epoch  5, Batch    575, Loss  0.595409, Average Loss  0.606797, Time  0.231313
2021-09-15 04:19:45.484264 : Epoch  4, Batch    451, Loss  0.613555, Average Loss  0.611435, Time  0.259192
2021-09-15 04:19:46.154210 : Epoch  1, Batch   1347, Loss  0.881887, Average Loss  0.876422, Time  0.265786
2021-09-15 04:19:46.523541 : Epoch  5, Batch    576, Loss  0.611394, Average Loss  0.606783, Time  0.231478
2021-09-15 04:19:47.000911 : Epoch  4, Batch    452, Loss  0.619091, Average Loss  0.611485, Time  0.238068
2021-09-15 04:19:48.064907 : Epoch  5, Batch    577, Loss  0.608283, Average Loss  0.606707, Time  0.231668
2021-09-15 04:19:48.506020 : Epoch  4, Batch    453, Loss  0.608742, Average Loss  0.611475, Time  0.238643
2021-09-15 04:19:49.160073 : Epoch  1, Batch   1348, Loss  0.871291, Average Loss  0.876446, Time  0.264599
2021-09-15 04:19:49.613375 : Epoch  5, Batch    578, Loss  0.603085, Average Loss  0.606678, Time  0.231254
2021-09-15 04:19:50.029014 : Epoch  4, Batch    454, Loss  0.609699, Average Loss  0.611458, Time  0.238656
2021-09-15 04:19:51.146372 : Epoch  5, Batch    579, Loss  0.595998, Average Loss  0.606625, Time  0.231286
2021-09-15 04:19:51.717001 : Epoch  4, Batch    455, Loss  0.611947, Average Loss  0.611468, Time  0.260358
2021-09-15 04:19:52.164121 : Epoch  1, Batch   1349, Loss  0.880235, Average Loss  0.876499, Time  0.265621
2021-09-15 04:19:52.695437 : Epoch  5, Batch    580, Loss  0.606718, Average Loss  0.606619, Time  0.231817
2021-09-15 04:19:53.238934 : Epoch  4, Batch    456, Loss  0.609841, Average Loss  0.611459, Time  0.238088
2021-09-15 04:19:54.239706 : Epoch  5, Batch    581, Loss  0.608305, Average Loss  0.606663, Time  0.231840
2021-09-15 04:19:54.757768 : Epoch  4, Batch    457, Loss  0.618621, Average Loss  0.611484, Time  0.236769
2021-09-15 04:19:55.175575 : Epoch  1, Batch   1350, Loss  0.887980, Average Loss  0.876599, Time  0.278108
2021-09-15 04:19:55.778883 : Epoch  5, Batch    582, Loss  0.601048, Average Loss  0.606654, Time  0.231013
2021-09-15 04:19:56.297568 : Epoch  4, Batch    458, Loss  0.598050, Average Loss  0.611416, Time  0.237774
2021-09-15 04:19:57.315286 : Epoch  5, Batch    583, Loss  0.595002, Average Loss  0.606610, Time  0.231783
2021-09-15 04:19:57.857827 : Epoch  4, Batch    459, Loss  0.612304, Average Loss  0.611425, Time  0.241001
2021-09-15 04:19:58.179120 : Epoch  1, Batch   1351, Loss  0.843668, Average Loss  0.876446, Time  0.265164
2021-09-15 04:19:58.873644 : Epoch  5, Batch    584, Loss  0.607736, Average Loss  0.606551, Time  0.230780
2021-09-15 04:19:59.409501 : Epoch  4, Batch    460, Loss  0.607483, Average Loss  0.611388, Time  0.239792
2021-09-15 04:20:00.410235 : Epoch  5, Batch    585, Loss  0.598952, Average Loss  0.606518, Time  0.231219
2021-09-15 04:20:00.955196 : Epoch  4, Batch    461, Loss  0.621203, Average Loss  0.611451, Time  0.239095
2021-09-15 04:20:01.191759 : Epoch  1, Batch   1352, Loss  0.869237, Average Loss  0.876294, Time  0.265468
2021-09-15 04:20:01.960433 : Epoch  5, Batch    586, Loss  0.615569, Average Loss  0.606559, Time  0.231750
2021-09-15 04:20:02.472463 : Epoch  4, Batch    462, Loss  0.602049, Average Loss  0.611427, Time  0.237990
2021-09-15 04:20:03.500559 : Epoch  5, Batch    587, Loss  0.607969, Average Loss  0.606603, Time  0.232145
2021-09-15 04:20:03.987357 : Epoch  4, Batch    463, Loss  0.618597, Average Loss  0.611467, Time  0.238865
2021-09-15 04:20:04.225910 : Epoch  1, Batch   1353, Loss  0.877802, Average Loss  0.876385, Time  0.264646
2021-09-15 04:20:05.034644 : Epoch  5, Batch    588, Loss  0.598230, Average Loss  0.606513, Time  0.231286
2021-09-15 04:20:05.529003 : Epoch  4, Batch    464, Loss  0.615496, Average Loss  0.611484, Time  0.239564
2021-09-15 04:20:06.584413 : Epoch  5, Batch    589, Loss  0.606679, Average Loss  0.606557, Time  0.232469
2021-09-15 04:20:07.040778 : Epoch  4, Batch    465, Loss  0.615161, Average Loss  0.611558, Time  0.238481
2021-09-15 04:20:07.214296 : Epoch  1, Batch   1354, Loss  0.853431, Average Loss  0.876261, Time  0.264623
2021-09-15 04:20:08.119508 : Epoch  5, Batch    590, Loss  0.614156, Average Loss  0.606539, Time  0.230553
2021-09-15 04:20:08.561405 : Epoch  4, Batch    466, Loss  0.618177, Average Loss  0.611551, Time  0.240120
2021-09-15 04:20:09.650470 : Epoch  5, Batch    591, Loss  0.602784, Average Loss  0.606527, Time  0.232871
2021-09-15 04:20:10.088393 : Epoch  4, Batch    467, Loss  0.608149, Average Loss  0.611541, Time  0.237735
2021-09-15 04:20:10.215494 : Epoch  1, Batch   1355, Loss  0.867154, Average Loss  0.876278, Time  0.265316
2021-09-15 04:20:11.179869 : Epoch  5, Batch    592, Loss  0.592557, Average Loss  0.606468, Time  0.231233
2021-09-15 04:20:11.782890 : Epoch  4, Batch    468, Loss  0.613928, Average Loss  0.611540, Time  0.260763
2021-09-15 04:20:12.719498 : Epoch  5, Batch    593, Loss  0.616344, Average Loss  0.606432, Time  0.231062
2021-09-15 04:20:13.202832 : Epoch  1, Batch   1356, Loss  0.880493, Average Loss  0.876363, Time  0.264525
2021-09-15 04:20:13.479449 : Epoch  4, Batch    469, Loss  0.617065, Average Loss  0.611601, Time  0.258917
2021-09-15 04:20:14.256023 : Epoch  5, Batch    594, Loss  0.607750, Average Loss  0.606428, Time  0.230927
2021-09-15 04:20:15.173514 : Epoch  4, Batch    470, Loss  0.617319, Average Loss  0.611606, Time  0.260951
2021-09-15 04:20:15.787961 : Epoch  5, Batch    595, Loss  0.605487, Average Loss  0.606419, Time  0.231050
2021-09-15 04:20:16.226689 : Epoch  1, Batch   1357, Loss  0.862038, Average Loss  0.876238, Time  0.264776
2021-09-15 04:20:16.855960 : Epoch  4, Batch    471, Loss  0.614718, Average Loss  0.611641, Time  0.260237
2021-09-15 04:20:17.318912 : Epoch  5, Batch    596, Loss  0.602565, Average Loss  0.606406, Time  0.230715
2021-09-15 04:20:18.539119 : Epoch  4, Batch    472, Loss  0.603176, Average Loss  0.611605, Time  0.258265
2021-09-15 04:20:18.841153 : Epoch  5, Batch    597, Loss  0.606020, Average Loss  0.606384, Time  0.230912
2021-09-15 04:20:19.202143 : Epoch  1, Batch   1358, Loss  0.890111, Average Loss  0.876416, Time  0.265467
2021-09-15 04:20:20.239819 : Epoch  4, Batch    473, Loss  0.613494, Average Loss  0.611634, Time  0.260652
2021-09-15 04:20:20.374093 : Epoch  5, Batch    598, Loss  0.613378, Average Loss  0.606409, Time  0.230806
2021-09-15 04:20:21.905955 : Epoch  5, Batch    599, Loss  0.610918, Average Loss  0.606412, Time  0.231266
2021-09-15 04:20:21.939324 : Epoch  4, Batch    474, Loss  0.619778, Average Loss  0.611697, Time  0.258450
2021-09-15 04:20:22.206767 : Epoch  1, Batch   1359, Loss  0.875503, Average Loss  0.876394, Time  0.264217
2021-09-15 04:20:23.447805 : Epoch  5, Batch    600, Loss  0.612331, Average Loss  0.606452, Time  0.230947
2021-09-15 04:20:23.478437 : Epoch  4, Batch    475, Loss  0.610365, Average Loss  0.611675, Time  0.241740
2021-09-15 04:20:24.979969 : Epoch  5, Batch    601, Loss  0.602934, Average Loss  0.606469, Time  0.230833
2021-09-15 04:20:25.015901 : Epoch  4, Batch    476, Loss  0.612488, Average Loss  0.611717, Time  0.242562
2021-09-15 04:20:25.182120 : Epoch  1, Batch   1360, Loss  0.857205, Average Loss  0.876289, Time  0.265219
2021-09-15 04:20:26.523737 : Epoch  5, Batch    602, Loss  0.605179, Average Loss  0.606411, Time  0.231031
2021-09-15 04:20:26.558874 : Epoch  4, Batch    477, Loss  0.617438, Average Loss  0.611779, Time  0.240749
2021-09-15 04:20:28.062154 : Epoch  5, Batch    603, Loss  0.608424, Average Loss  0.606430, Time  0.231540
2021-09-15 04:20:28.089904 : Epoch  4, Batch    478, Loss  0.615544, Average Loss  0.611806, Time  0.239810
2021-09-15 04:20:28.163250 : Epoch  1, Batch   1361, Loss  0.863382, Average Loss  0.876291, Time  0.264908
2021-09-15 04:20:29.593464 : Epoch  5, Batch    604, Loss  0.616790, Average Loss  0.606467, Time  0.230875
2021-09-15 04:20:29.623482 : Epoch  4, Batch    479, Loss  0.605029, Average Loss  0.611820, Time  0.239289
2021-09-15 04:20:31.130341 : Epoch  5, Batch    605, Loss  0.600526, Average Loss  0.606414, Time  0.231483
2021-09-15 04:20:31.154849 : Epoch  1, Batch   1362, Loss  0.892225, Average Loss  0.876454, Time  0.265694
2021-09-15 04:20:31.176062 : Epoch  4, Batch    480, Loss  0.610313, Average Loss  0.611837, Time  0.241410
2021-09-15 04:20:32.672630 : Epoch  5, Batch    606, Loss  0.616952, Average Loss  0.606450, Time  0.232526
2021-09-15 04:20:32.712373 : Epoch  4, Batch    481, Loss  0.611977, Average Loss  0.611795, Time  0.239424
2021-09-15 04:20:34.156298 : Epoch  1, Batch   1363, Loss  0.859832, Average Loss  0.876325, Time  0.264411
2021-09-15 04:20:34.214086 : Epoch  5, Batch    607, Loss  0.597089, Average Loss  0.606399, Time  0.231526
2021-09-15 04:20:34.253033 : Epoch  4, Batch    482, Loss  0.609973, Average Loss  0.611792, Time  0.240351
2021-09-15 04:20:35.772006 : Epoch  5, Batch    608, Loss  0.607279, Average Loss  0.606373, Time  0.232864
2021-09-15 04:20:35.801418 : Epoch  4, Batch    483, Loss  0.609827, Average Loss  0.611795, Time  0.238005
2021-09-15 04:20:37.162100 : Epoch  1, Batch   1364, Loss  0.874504, Average Loss  0.876331, Time  0.265318
2021-09-15 04:20:37.312239 : Epoch  5, Batch    609, Loss  0.609182, Average Loss  0.606383, Time  0.231672
2021-09-15 04:20:37.339836 : Epoch  4, Batch    484, Loss  0.613120, Average Loss  0.611741, Time  0.242329
2021-09-15 04:20:38.845399 : Epoch  5, Batch    610, Loss  0.606580, Average Loss  0.606361, Time  0.231257
2021-09-15 04:20:38.879414 : Epoch  4, Batch    485, Loss  0.600787, Average Loss  0.611642, Time  0.239307
2021-09-15 04:20:40.202621 : Epoch  1, Batch   1365, Loss  0.886476, Average Loss  0.876416, Time  0.274394
2021-09-15 04:20:40.378156 : Epoch  5, Batch    611, Loss  0.600798, Average Loss  0.606347, Time  0.232517
2021-09-15 04:20:40.409070 : Epoch  4, Batch    486, Loss  0.618991, Average Loss  0.611636, Time  0.239990
2021-09-15 04:20:41.934058 : Epoch  5, Batch    612, Loss  0.616210, Average Loss  0.606379, Time  0.231946
2021-09-15 04:20:41.963876 : Epoch  4, Batch    487, Loss  0.622053, Average Loss  0.611674, Time  0.240993
2021-09-15 04:20:43.219369 : Epoch  1, Batch   1366, Loss  0.884075, Average Loss  0.876386, Time  0.265667
2021-09-15 04:20:43.486396 : Epoch  5, Batch    613, Loss  0.606891, Average Loss  0.606397, Time  0.231645
2021-09-15 04:20:43.520995 : Epoch  4, Batch    488, Loss  0.604445, Average Loss  0.611627, Time  0.238930
2021-09-15 04:20:45.025083 : Epoch  5, Batch    614, Loss  0.614473, Average Loss  0.606438, Time  0.231699
2021-09-15 04:20:45.058278 : Epoch  4, Batch    489, Loss  0.603106, Average Loss  0.611591, Time  0.240129
2021-09-15 04:20:46.235165 : Epoch  1, Batch   1367, Loss  0.879703, Average Loss  0.876396, Time  0.266082
2021-09-15 04:20:46.573079 : Epoch  5, Batch    615, Loss  0.616364, Average Loss  0.606540, Time  0.231599
2021-09-15 04:20:46.598415 : Epoch  4, Batch    490, Loss  0.611385, Average Loss  0.611606, Time  0.238274
2021-09-15 04:20:48.107048 : Epoch  5, Batch    616, Loss  0.608912, Average Loss  0.606530, Time  0.232262
2021-09-15 04:20:48.144407 : Epoch  4, Batch    491, Loss  0.607342, Average Loss  0.611544, Time  0.238241
2021-09-15 04:20:49.258142 : Epoch  1, Batch   1368, Loss  0.880551, Average Loss  0.876470, Time  0.265393
2021-09-15 04:20:49.651653 : Epoch  5, Batch    617, Loss  0.609430, Average Loss  0.606527, Time  0.231214
2021-09-15 04:20:49.678943 : Epoch  4, Batch    492, Loss  0.614502, Average Loss  0.611508, Time  0.240496
2021-09-15 04:20:51.183060 : Epoch  5, Batch    618, Loss  0.614722, Average Loss  0.606620, Time  0.231437
2021-09-15 04:20:51.221128 : Epoch  4, Batch    493, Loss  0.612740, Average Loss  0.611490, Time  0.239322
2021-09-15 04:20:52.250549 : Epoch  1, Batch   1369, Loss  0.864716, Average Loss  0.876310, Time  0.265331
2021-09-15 04:20:52.734198 : Epoch  5, Batch    619, Loss  0.593247, Average Loss  0.606574, Time  0.231781
2021-09-15 04:20:52.759865 : Epoch  4, Batch    494, Loss  0.612369, Average Loss  0.611475, Time  0.239348
2021-09-15 04:20:54.266382 : Epoch  5, Batch    620, Loss  0.599041, Average Loss  0.606520, Time  0.231361
2021-09-15 04:20:54.299803 : Epoch  4, Batch    495, Loss  0.609928, Average Loss  0.611450, Time  0.238911
2021-09-15 04:20:55.264203 : Epoch  1, Batch   1370, Loss  0.876199, Average Loss  0.876348, Time  0.265276
2021-09-15 04:20:55.815237 : Epoch  5, Batch    621, Loss  0.601515, Average Loss  0.606500, Time  0.231678
2021-09-15 04:20:55.847374 : Epoch  4, Batch    496, Loss  0.609194, Average Loss  0.611461, Time  0.239387
2021-09-15 04:20:57.364098 : Epoch  5, Batch    622, Loss  0.606727, Average Loss  0.606560, Time  0.232304
2021-09-15 04:20:57.396615 : Epoch  4, Batch    497, Loss  0.609472, Average Loss  0.611457, Time  0.239297
2021-09-15 04:20:58.258368 : Epoch  1, Batch   1371, Loss  0.880524, Average Loss  0.876402, Time  0.264152
2021-09-15 04:20:58.935124 : Epoch  4, Batch    498, Loss  0.603143, Average Loss  0.611461, Time  0.239243
2021-09-15 04:21:00.461034 : Epoch  4, Batch    499, Loss  0.606235, Average Loss  0.611447, Time  0.239141
2021-09-15 04:21:01.245993 : Epoch  5, Batch    623, Loss  0.599849, Average Loss  0.606522, Time  0.271755
2021-09-15 04:21:01.282230 : Epoch  1, Batch   1372, Loss  0.895821, Average Loss  0.876562, Time  0.263673
2021-09-15 04:21:01.994798 : Epoch  4, Batch    500, Loss  0.620476, Average Loss  0.611555, Time  0.243461
2021-09-15 04:21:02.797337 : Epoch  5, Batch    624, Loss  0.610219, Average Loss  0.606485, Time  0.249142
2021-09-15 04:21:03.542808 : Epoch  4, Batch    501, Loss  0.608048, Average Loss  0.611531, Time  0.241548
2021-09-15 04:21:04.263044 : Epoch  1, Batch   1373, Loss  0.859426, Average Loss  0.876469, Time  0.265526
2021-09-15 04:21:04.343231 : Epoch  5, Batch    625, Loss  0.618387, Average Loss  0.606538, Time  0.235214
2021-09-15 04:21:05.086829 : Epoch  4, Batch    502, Loss  0.614928, Average Loss  0.611540, Time  0.239145
2021-09-15 04:21:05.878283 : Epoch  5, Batch    626, Loss  0.596737, Average Loss  0.606461, Time  0.231362
2021-09-15 04:21:06.609900 : Epoch  4, Batch    503, Loss  0.608997, Average Loss  0.611547, Time  0.236562
2021-09-15 04:21:07.296996 : Epoch  1, Batch   1374, Loss  0.897268, Average Loss  0.876547, Time  0.266297
2021-09-15 04:21:07.409707 : Epoch  5, Batch    627, Loss  0.611307, Average Loss  0.606440, Time  0.232041
2021-09-15 04:21:08.135816 : Epoch  4, Batch    504, Loss  0.613132, Average Loss  0.611614, Time  0.239539
2021-09-15 04:21:08.944631 : Epoch  5, Batch    628, Loss  0.602395, Average Loss  0.606436, Time  0.232885
2021-09-15 04:21:09.671391 : Epoch  4, Batch    505, Loss  0.600049, Average Loss  0.611551, Time  0.242671
2021-09-15 04:21:10.340553 : Epoch  1, Batch   1375, Loss  0.869327, Average Loss  0.876579, Time  0.264479
2021-09-15 04:21:10.484289 : Epoch  5, Batch    629, Loss  0.609138, Average Loss  0.606439, Time  0.231383
2021-09-15 04:21:11.213870 : Epoch  4, Batch    506, Loss  0.607711, Average Loss  0.611543, Time  0.241698
2021-09-15 04:21:12.038498 : Epoch  5, Batch    630, Loss  0.605239, Average Loss  0.606388, Time  0.231572
2021-09-15 04:21:12.745082 : Epoch  4, Batch    507, Loss  0.615551, Average Loss  0.611568, Time  0.240650
2021-09-15 04:21:13.388183 : Epoch  1, Batch   1376, Loss  0.868571, Average Loss  0.876643, Time  0.265934
2021-09-15 04:21:13.578148 : Epoch  5, Batch    631, Loss  0.605907, Average Loss  0.606372, Time  0.231217
2021-09-15 04:21:14.274805 : Epoch  4, Batch    508, Loss  0.601347, Average Loss  0.611513, Time  0.240449
2021-09-15 04:21:15.105393 : Epoch  5, Batch    632, Loss  0.607455, Average Loss  0.606304, Time  0.231053
2021-09-15 04:21:15.805898 : Epoch  4, Batch    509, Loss  0.613155, Average Loss  0.611543, Time  0.239035
2021-09-15 04:21:16.452245 : Epoch  1, Batch   1377, Loss  0.876258, Average Loss  0.876619, Time  0.266900
2021-09-15 04:21:16.647943 : Epoch  5, Batch    633, Loss  0.608838, Average Loss  0.606276, Time  0.231447
2021-09-15 04:21:18.189057 : Epoch  5, Batch    634, Loss  0.605333, Average Loss  0.606275, Time  0.231588
2021-09-15 04:21:19.537701 : Epoch  1, Batch   1378, Loss  0.848700, Average Loss  0.876488, Time  0.264455
2021-09-15 04:21:19.730220 : Epoch  5, Batch    635, Loss  0.593781, Average Loss  0.606124, Time  0.233758
2021-09-15 04:21:19.923838 : Epoch  4, Batch    510, Loss  0.608754, Average Loss  0.611494, Time  0.268610
2021-09-15 04:21:21.263672 : Epoch  5, Batch    636, Loss  0.609658, Average Loss  0.606146, Time  0.231323
2021-09-15 04:21:21.437378 : Epoch  4, Batch    511, Loss  0.604743, Average Loss  0.611506, Time  0.242745
2021-09-15 04:21:22.536678 : Epoch  1, Batch   1379, Loss  0.871776, Average Loss  0.876505, Time  0.266229
2021-09-15 04:21:22.824107 : Epoch  5, Batch    637, Loss  0.596908, Average Loss  0.606078, Time  0.232338
2021-09-15 04:21:22.942952 : Epoch  4, Batch    512, Loss  0.615963, Average Loss  0.611568, Time  0.238297
2021-09-15 04:21:24.366221 : Epoch  5, Batch    638, Loss  0.607518, Average Loss  0.606060, Time  0.231717
2021-09-15 04:21:24.453292 : Epoch  4, Batch    513, Loss  0.610167, Average Loss  0.611607, Time  0.239541
2021-09-15 04:21:25.578552 : Epoch  1, Batch   1380, Loss  0.873546, Average Loss  0.876425, Time  0.276897
2021-09-15 04:21:25.920352 : Epoch  5, Batch    639, Loss  0.609643, Average Loss  0.606107, Time  0.234080
2021-09-15 04:21:26.000821 : Epoch  4, Batch    514, Loss  0.607210, Average Loss  0.611611, Time  0.241393
2021-09-15 04:21:27.464367 : Epoch  5, Batch    640, Loss  0.606701, Average Loss  0.606152, Time  0.233825
2021-09-15 04:21:27.539123 : Epoch  4, Batch    515, Loss  0.622661, Average Loss  0.611665, Time  0.243293
2021-09-15 04:21:28.610548 : Epoch  1, Batch   1381, Loss  0.879083, Average Loss  0.876387, Time  0.265703
2021-09-15 04:21:29.026650 : Epoch  5, Batch    641, Loss  0.608658, Average Loss  0.606112, Time  0.231470
2021-09-15 04:21:29.070338 : Epoch  4, Batch    516, Loss  0.616250, Average Loss  0.611709, Time  0.238140
2021-09-15 04:21:30.567399 : Epoch  5, Batch    642, Loss  0.603297, Average Loss  0.606120, Time  0.231143
2021-09-15 04:21:30.598392 : Epoch  4, Batch    517, Loss  0.608689, Average Loss  0.611704, Time  0.239930
2021-09-15 04:21:31.623842 : Epoch  1, Batch   1382, Loss  0.882809, Average Loss  0.876354, Time  0.265825
2021-09-15 04:21:32.109008 : Epoch  5, Batch    643, Loss  0.610513, Average Loss  0.606134, Time  0.231569
2021-09-15 04:21:32.297405 : Epoch  4, Batch    518, Loss  0.608601, Average Loss  0.611778, Time  0.258885
2021-09-15 04:21:33.664060 : Epoch  5, Batch    644, Loss  0.611120, Average Loss  0.606215, Time  0.231365
2021-09-15 04:21:33.986259 : Epoch  4, Batch    519, Loss  0.620354, Average Loss  0.611834, Time  0.258992
2021-09-15 04:21:34.649108 : Epoch  1, Batch   1383, Loss  0.849504, Average Loss  0.876191, Time  0.264722
2021-09-15 04:21:35.205352 : Epoch  5, Batch    645, Loss  0.609709, Average Loss  0.606209, Time  0.230712
2021-09-15 04:21:35.508084 : Epoch  4, Batch    520, Loss  0.605131, Average Loss  0.611786, Time  0.241163
2021-09-15 04:21:36.772118 : Epoch  5, Batch    646, Loss  0.613109, Average Loss  0.606253, Time  0.231279
2021-09-15 04:21:37.023850 : Epoch  4, Batch    521, Loss  0.603015, Average Loss  0.611738, Time  0.239695
2021-09-15 04:21:37.651173 : Epoch  1, Batch   1384, Loss  0.878932, Average Loss  0.876269, Time  0.264998
2021-09-15 04:21:38.321390 : Epoch  5, Batch    647, Loss  0.607051, Average Loss  0.606307, Time  0.231169
2021-09-15 04:21:38.552127 : Epoch  4, Batch    522, Loss  0.624777, Average Loss  0.611832, Time  0.241518
2021-09-15 04:21:39.864272 : Epoch  5, Batch    648, Loss  0.605669, Average Loss  0.606342, Time  0.231392
2021-09-15 04:21:40.088406 : Epoch  4, Batch    523, Loss  0.610381, Average Loss  0.611784, Time  0.241096
2021-09-15 04:21:40.685114 : Epoch  1, Batch   1385, Loss  0.874358, Average Loss  0.876238, Time  0.267380
2021-09-15 04:21:41.409061 : Epoch  5, Batch    649, Loss  0.606314, Average Loss  0.606362, Time  0.231549
2021-09-15 04:21:41.604183 : Epoch  4, Batch    524, Loss  0.612901, Average Loss  0.611813, Time  0.237609
2021-09-15 04:21:42.961899 : Epoch  5, Batch    650, Loss  0.600356, Average Loss  0.606329, Time  0.231884
2021-09-15 04:21:43.119085 : Epoch  4, Batch    525, Loss  0.612738, Average Loss  0.611846, Time  0.237581
2021-09-15 04:21:43.689034 : Epoch  1, Batch   1386, Loss  0.891907, Average Loss  0.876334, Time  0.266008
2021-09-15 04:21:44.513396 : Epoch  5, Batch    651, Loss  0.600516, Average Loss  0.606354, Time  0.231879
2021-09-15 04:21:44.644794 : Epoch  4, Batch    526, Loss  0.612296, Average Loss  0.611880, Time  0.240015
2021-09-15 04:21:46.070872 : Epoch  5, Batch    652, Loss  0.589819, Average Loss  0.606233, Time  0.231644
2021-09-15 04:21:46.175813 : Epoch  4, Batch    527, Loss  0.601615, Average Loss  0.611813, Time  0.241886
2021-09-15 04:21:46.715859 : Epoch  1, Batch   1387, Loss  0.862976, Average Loss  0.876272, Time  0.265394
2021-09-15 04:21:47.708825 : Epoch  4, Batch    528, Loss  0.611889, Average Loss  0.611800, Time  0.242419
2021-09-15 04:21:49.247353 : Epoch  4, Batch    529, Loss  0.597046, Average Loss  0.611724, Time  0.239316
2021-09-15 04:21:49.757975 : Epoch  1, Batch   1388, Loss  0.890799, Average Loss  0.876446, Time  0.264627
2021-09-15 04:21:50.774857 : Epoch  4, Batch    530, Loss  0.609954, Average Loss  0.611663, Time  0.240663
2021-09-15 04:21:52.309826 : Epoch  4, Batch    531, Loss  0.613723, Average Loss  0.611665, Time  0.241634
2021-09-15 04:21:52.789616 : Epoch  1, Batch   1389, Loss  0.899417, Average Loss  0.876524, Time  0.265650
2021-09-15 04:21:53.831099 : Epoch  4, Batch    532, Loss  0.611979, Average Loss  0.611698, Time  0.237997
2021-09-15 04:21:55.377041 : Epoch  4, Batch    533, Loss  0.597303, Average Loss  0.611647, Time  0.240700
2021-09-15 04:21:55.786947 : Epoch  1, Batch   1390, Loss  0.879974, Average Loss  0.876655, Time  0.264799
2021-09-15 04:21:57.064680 : Epoch  4, Batch    534, Loss  0.627738, Average Loss  0.611711, Time  0.259068
2021-09-15 04:21:58.754510 : Epoch  4, Batch    535, Loss  0.604080, Average Loss  0.611658, Time  0.257807
2021-09-15 04:21:58.777142 : Epoch  1, Batch   1391, Loss  0.886139, Average Loss  0.876580, Time  0.264962
2021-09-15 04:22:00.447776 : Epoch  4, Batch    536, Loss  0.606898, Average Loss  0.611666, Time  0.258857
2021-09-15 04:22:01.797679 : Epoch  1, Batch   1392, Loss  0.863817, Average Loss  0.876505, Time  0.265622
2021-09-15 04:22:02.152031 : Epoch  4, Batch    537, Loss  0.621680, Average Loss  0.611725, Time  0.258443
2021-09-15 04:22:03.818225 : Epoch  4, Batch    538, Loss  0.612660, Average Loss  0.611727, Time  0.239947
2021-09-15 04:22:04.835860 : Epoch  1, Batch   1393, Loss  0.873086, Average Loss  0.876446, Time  0.265008
2021-09-15 04:22:05.502241 : Epoch  4, Batch    539, Loss  0.604732, Average Loss  0.611665, Time  0.258667
2021-09-15 04:22:07.822209 : Epoch  1, Batch   1394, Loss  0.875454, Average Loss  0.876480, Time  0.264766
2021-09-15 04:22:10.835705 : Epoch  1, Batch   1395, Loss  0.856699, Average Loss  0.876497, Time  0.279452
2021-09-15 04:22:13.844141 : Epoch  1, Batch   1396, Loss  0.863716, Average Loss  0.876365, Time  0.265123
2021-09-15 04:22:16.859173 : Epoch  1, Batch   1397, Loss  0.864168, Average Loss  0.876293, Time  0.264835
2021-09-15 04:22:19.891168 : Epoch  1, Batch   1398, Loss  0.871317, Average Loss  0.876229, Time  0.265485
2021-09-15 04:22:22.890473 : Epoch  1, Batch   1399, Loss  0.861313, Average Loss  0.876090, Time  0.264195
2021-09-15 04:22:25.909728 : Epoch  1, Batch   1400, Loss  0.850995, Average Loss  0.875878, Time  0.264460
2021-09-15 04:22:43.928725 : CheckPoint: Validation Loss  0.00024778, Best Loss  0.00024571
2021-09-15 04:22:45.469298 : Epoch  5, Batch    653, Loss  0.617925, Average Loss  0.606316, Time  0.231153
2021-09-15 04:22:47.008847 : Epoch  5, Batch    654, Loss  0.596869, Average Loss  0.606222, Time  0.231067
2021-09-15 04:22:48.553239 : Epoch  5, Batch    655, Loss  0.606981, Average Loss  0.606208, Time  0.234529
2021-09-15 04:22:50.090027 : Epoch  5, Batch    656, Loss  0.607315, Average Loss  0.606212, Time  0.230820
2021-09-15 04:22:51.623064 : Epoch  5, Batch    657, Loss  0.598510, Average Loss  0.606152, Time  0.230950
2021-09-15 04:22:53.153814 : Epoch  5, Batch    658, Loss  0.601470, Average Loss  0.606133, Time  0.231487
2021-09-15 04:22:54.695997 : Epoch  5, Batch    659, Loss  0.593334, Average Loss  0.606066, Time  0.231072
2021-09-15 04:22:56.243802 : Epoch  5, Batch    660, Loss  0.607106, Average Loss  0.606125, Time  0.231168
2021-09-15 04:22:57.781948 : Epoch  5, Batch    661, Loss  0.606453, Average Loss  0.606108, Time  0.232576
2021-09-15 04:22:59.316779 : Epoch  5, Batch    662, Loss  0.591845, Average Loss  0.606032, Time  0.230479
2021-09-15 04:23:00.864717 : Epoch  5, Batch    663, Loss  0.607621, Average Loss  0.606014, Time  0.231703
2021-09-15 04:23:02.397006 : Epoch  5, Batch    664, Loss  0.613504, Average Loss  0.606001, Time  0.230957
2021-09-15 04:23:03.089729 : CheckPoint: Validation Loss  0.00025169, Best Loss  0.00024972
2021-09-15 04:23:03.936187 : Epoch  5, Batch    665, Loss  0.605352, Average Loss  0.605997, Time  0.231087
2021-09-15 04:23:04.655746 : Epoch  4, Batch    540, Loss  0.625141, Average Loss  0.611740, Time  0.273276
2021-09-15 04:23:05.480053 : Epoch  5, Batch    666, Loss  0.603900, Average Loss  0.605944, Time  0.231603
2021-09-15 04:23:06.182813 : Epoch  4, Batch    541, Loss  0.617350, Average Loss  0.611746, Time  0.253208
2021-09-15 04:23:07.022114 : Epoch  5, Batch    667, Loss  0.611258, Average Loss  0.605876, Time  0.232215
2021-09-15 04:23:07.864027 : Epoch  4, Batch    542, Loss  0.614187, Average Loss  0.611717, Time  0.258758
2021-09-15 04:23:08.558083 : Epoch  5, Batch    668, Loss  0.610820, Average Loss  0.605877, Time  0.231258
2021-09-15 04:23:09.402743 : Epoch  4, Batch    543, Loss  0.619644, Average Loss  0.611752, Time  0.239619
2021-09-15 04:23:10.097775 : Epoch  5, Batch    669, Loss  0.598298, Average Loss  0.605874, Time  0.231321
2021-09-15 04:23:10.939897 : Epoch  4, Batch    544, Loss  0.621021, Average Loss  0.611803, Time  0.239583
2021-09-15 04:23:11.631935 : Epoch  5, Batch    670, Loss  0.608951, Average Loss  0.605907, Time  0.231100
2021-09-15 04:23:12.493945 : Epoch  4, Batch    545, Loss  0.607726, Average Loss  0.611765, Time  0.242500
2021-09-15 04:23:13.173045 : Epoch  5, Batch    671, Loss  0.599919, Average Loss  0.605848, Time  0.231248
2021-09-15 04:23:14.024863 : Epoch  4, Batch    546, Loss  0.597045, Average Loss  0.611705, Time  0.240733
2021-09-15 04:23:14.709381 : Epoch  5, Batch    672, Loss  0.611574, Average Loss  0.605823, Time  0.230869
2021-09-15 04:23:15.553377 : Epoch  4, Batch    547, Loss  0.598340, Average Loss  0.611651, Time  0.239766
2021-09-15 04:23:16.251357 : Epoch  5, Batch    673, Loss  0.607753, Average Loss  0.605820, Time  0.230932
2021-09-15 04:23:17.076144 : Epoch  4, Batch    548, Loss  0.601979, Average Loss  0.611603, Time  0.240528
2021-09-15 04:23:17.790042 : Epoch  5, Batch    674, Loss  0.596941, Average Loss  0.605789, Time  0.231782
2021-09-15 04:23:18.775117 : Epoch  4, Batch    549, Loss  0.609830, Average Loss  0.611526, Time  0.258395
2021-09-15 04:23:19.329432 : Epoch  5, Batch    675, Loss  0.610686, Average Loss  0.605779, Time  0.230916
2021-09-15 04:23:20.459410 : Epoch  4, Batch    550, Loss  0.613017, Average Loss  0.611476, Time  0.260475
2021-09-15 04:23:20.869924 : Epoch  5, Batch    676, Loss  0.596509, Average Loss  0.605750, Time  0.231592
2021-09-15 04:23:22.010147 : Epoch  4, Batch    551, Loss  0.612344, Average Loss  0.611434, Time  0.239496
2021-09-15 04:23:22.400378 : Epoch  5, Batch    677, Loss  0.599825, Average Loss  0.605662, Time  0.231977
2021-09-15 04:23:23.536819 : Epoch  4, Batch    552, Loss  0.611267, Average Loss  0.611420, Time  0.240921
2021-09-15 04:23:23.921577 : Epoch  5, Batch    678, Loss  0.612078, Average Loss  0.605695, Time  0.231467
2021-09-15 04:23:25.057978 : Epoch  4, Batch    553, Loss  0.607646, Average Loss  0.611412, Time  0.240654
2021-09-15 04:23:25.452472 : Epoch  5, Batch    679, Loss  0.602881, Average Loss  0.605756, Time  0.233832
2021-09-15 04:23:26.584800 : Epoch  4, Batch    554, Loss  0.608174, Average Loss  0.611344, Time  0.239415
2021-09-15 04:23:26.994887 : Epoch  5, Batch    680, Loss  0.597771, Average Loss  0.605671, Time  0.233690
2021-09-15 04:23:28.112871 : Epoch  4, Batch    555, Loss  0.611629, Average Loss  0.611323, Time  0.241307
2021-09-15 04:23:28.521600 : Epoch  5, Batch    681, Loss  0.608529, Average Loss  0.605690, Time  0.231491
2021-09-15 04:23:29.642925 : Epoch  4, Batch    556, Loss  0.605941, Average Loss  0.611354, Time  0.241269
2021-09-15 04:23:30.056361 : Epoch  5, Batch    682, Loss  0.606023, Average Loss  0.605631, Time  0.231615
2021-09-15 04:23:31.179854 : Epoch  4, Batch    557, Loss  0.614617, Average Loss  0.611381, Time  0.241560
2021-09-15 04:23:31.590286 : Epoch  5, Batch    683, Loss  0.604093, Average Loss  0.605657, Time  0.231194
2021-09-15 04:23:32.713979 : Epoch  4, Batch    558, Loss  0.605341, Average Loss  0.611378, Time  0.240774
2021-09-15 04:23:33.121400 : Epoch  5, Batch    684, Loss  0.606237, Average Loss  0.605651, Time  0.231270
2021-09-15 04:23:34.249950 : Epoch  4, Batch    559, Loss  0.612857, Average Loss  0.611378, Time  0.241395
2021-09-15 04:23:34.652603 : Epoch  5, Batch    685, Loss  0.610837, Average Loss  0.605617, Time  0.231100
2021-09-15 04:23:35.777045 : Epoch  4, Batch    560, Loss  0.618175, Average Loss  0.611421, Time  0.239184
2021-09-15 04:23:36.178848 : Epoch  5, Batch    686, Loss  0.601005, Average Loss  0.605602, Time  0.232642
2021-09-15 04:23:37.301752 : Epoch  4, Batch    561, Loss  0.606265, Average Loss  0.611458, Time  0.236346
2021-09-15 04:23:37.704844 : Epoch  5, Batch    687, Loss  0.598688, Average Loss  0.605556, Time  0.231111
2021-09-15 04:23:39.016849 : Epoch  4, Batch    562, Loss  0.610145, Average Loss  0.611471, Time  0.268297
2021-09-15 04:23:39.302723 : Epoch  5, Batch    688, Loss  0.610415, Average Loss  0.605595, Time  0.236541
2021-09-15 04:23:40.690108 : Epoch  4, Batch    563, Loss  0.614897, Average Loss  0.611492, Time  0.257243
2021-09-15 04:23:40.827349 : Epoch  5, Batch    689, Loss  0.608200, Average Loss  0.605630, Time  0.230959
2021-09-15 04:23:42.360071 : Epoch  4, Batch    564, Loss  0.620651, Average Loss  0.611479, Time  0.257723
2021-09-15 04:23:42.360871 : Epoch  5, Batch    690, Loss  0.604594, Average Loss  0.605604, Time  0.232170
2021-09-15 04:23:43.942405 : Epoch  5, Batch    691, Loss  0.598618, Average Loss  0.605565, Time  0.231539
2021-09-15 04:23:44.031443 : Epoch  4, Batch    565, Loss  0.617529, Average Loss  0.611491, Time  0.258647
2021-09-15 04:23:45.488373 : Epoch  5, Batch    692, Loss  0.606134, Average Loss  0.605608, Time  0.231113
2021-09-15 04:23:45.571253 : Epoch  4, Batch    566, Loss  0.618497, Average Loss  0.611548, Time  0.239836
2021-09-15 04:23:47.056051 : Epoch  5, Batch    693, Loss  0.603367, Average Loss  0.605613, Time  0.233301
2021-09-15 04:23:47.108930 : Epoch  4, Batch    567, Loss  0.623553, Average Loss  0.611681, Time  0.241712
2021-09-15 04:23:48.609602 : Epoch  5, Batch    694, Loss  0.598770, Average Loss  0.605553, Time  0.234650
2021-09-15 04:23:48.640165 : Epoch  4, Batch    568, Loss  0.610914, Average Loss  0.611647, Time  0.240708
2021-09-15 04:23:50.166667 : Epoch  5, Batch    695, Loss  0.602787, Average Loss  0.605583, Time  0.232332
2021-09-15 04:23:50.347104 : Epoch  4, Batch    569, Loss  0.611650, Average Loss  0.611632, Time  0.261457
2021-09-15 04:23:51.711557 : Epoch  5, Batch    696, Loss  0.605359, Average Loss  0.605578, Time  0.232244
2021-09-15 04:23:52.026605 : Epoch  4, Batch    570, Loss  0.602791, Average Loss  0.611557, Time  0.257800
2021-09-15 04:23:53.260423 : Epoch  5, Batch    697, Loss  0.604778, Average Loss  0.605571, Time  0.231572
2021-09-15 04:23:53.532537 : Epoch  4, Batch    571, Loss  0.604210, Average Loss  0.611570, Time  0.238363
2021-09-15 04:23:54.807957 : Epoch  5, Batch    698, Loss  0.598336, Average Loss  0.605496, Time  0.231875
2021-09-15 04:23:55.049277 : Epoch  4, Batch    572, Loss  0.616171, Average Loss  0.611516, Time  0.239294
2021-09-15 04:23:56.359743 : Epoch  5, Batch    699, Loss  0.601668, Average Loss  0.605460, Time  0.231987
2021-09-15 04:23:56.734025 : Epoch  4, Batch    573, Loss  0.616937, Average Loss  0.611557, Time  0.258990
2021-09-15 04:23:57.897393 : Epoch  5, Batch    700, Loss  0.604308, Average Loss  0.605405, Time  0.231778
2021-09-15 04:23:58.409991 : Epoch  4, Batch    574, Loss  0.612026, Average Loss  0.611504, Time  0.258117
2021-09-15 04:23:59.437335 : Epoch  5, Batch    701, Loss  0.601060, Average Loss  0.605385, Time  0.232142
2021-09-15 04:23:59.961496 : Epoch  4, Batch    575, Loss  0.605626, Average Loss  0.611507, Time  0.241711
2021-09-15 04:24:00.975770 : Epoch  5, Batch    702, Loss  0.605062, Average Loss  0.605414, Time  0.232051
2021-09-15 04:24:01.649023 : Epoch  4, Batch    576, Loss  0.619980, Average Loss  0.611486, Time  0.258141
2021-09-15 04:24:02.525656 : Epoch  5, Batch    703, Loss  0.604546, Average Loss  0.605460, Time  0.232794
2021-09-15 04:24:03.347108 : Epoch  4, Batch    577, Loss  0.604692, Average Loss  0.611431, Time  0.261008
2021-09-15 04:24:04.070376 : Epoch  5, Batch    704, Loss  0.600064, Average Loss  0.605410, Time  0.232757
2021-09-15 04:24:05.033865 : Epoch  4, Batch    578, Loss  0.621676, Average Loss  0.611437, Time  0.259088
2021-09-15 04:24:05.601432 : Epoch  5, Batch    705, Loss  0.622380, Average Loss  0.605468, Time  0.231420
2021-09-15 04:24:06.709055 : Epoch  4, Batch    579, Loss  0.610845, Average Loss  0.611473, Time  0.258711
2021-09-15 04:24:07.146285 : Epoch  5, Batch    706, Loss  0.603771, Average Loss  0.605458, Time  0.231330
2021-09-15 04:24:08.418890 : Epoch  4, Batch    580, Loss  0.612869, Average Loss  0.611467, Time  0.260891
2021-09-15 04:24:08.681212 : Epoch  5, Batch    707, Loss  0.610694, Average Loss  0.605496, Time  0.233229
2021-09-15 04:24:10.101426 : Epoch  4, Batch    581, Loss  0.605602, Average Loss  0.611430, Time  0.257552
2021-09-15 04:24:10.227434 : Epoch  5, Batch    708, Loss  0.599826, Average Loss  0.605506, Time  0.232784
2021-09-15 04:24:11.762022 : Epoch  5, Batch    709, Loss  0.605287, Average Loss  0.605486, Time  0.231491
2021-09-15 04:24:11.799966 : Epoch  4, Batch    582, Loss  0.613238, Average Loss  0.611478, Time  0.259207
2021-09-15 04:24:13.300635 : Epoch  5, Batch    710, Loss  0.608612, Average Loss  0.605474, Time  0.231200
2021-09-15 04:24:13.482481 : Epoch  4, Batch    583, Loss  0.612232, Average Loss  0.611426, Time  0.257828
2021-09-15 04:24:14.837530 : Epoch  5, Batch    711, Loss  0.612403, Average Loss  0.605538, Time  0.232421
2021-09-15 04:24:15.170871 : Epoch  4, Batch    584, Loss  0.604985, Average Loss  0.611434, Time  0.261870
2021-09-15 04:24:16.368409 : Epoch  5, Batch    712, Loss  0.607870, Average Loss  0.605547, Time  0.231826
2021-09-15 04:24:16.839927 : Epoch  4, Batch    585, Loss  0.602934, Average Loss  0.611409, Time  0.256396
2021-09-15 04:24:17.904970 : Epoch  5, Batch    713, Loss  0.604016, Average Loss  0.605523, Time  0.231250
2021-09-15 04:24:18.492255 : Epoch  4, Batch    586, Loss  0.618663, Average Loss  0.611415, Time  0.244714
2021-09-15 04:24:19.441367 : Epoch  5, Batch    714, Loss  0.599056, Average Loss  0.605510, Time  0.231212
2021-09-15 04:24:20.186068 : Epoch  4, Batch    587, Loss  0.613209, Average Loss  0.611437, Time  0.257936
2021-09-15 04:24:20.977467 : Epoch  5, Batch    715, Loss  0.601323, Average Loss  0.605447, Time  0.231416
2021-09-15 04:24:21.865655 : Epoch  4, Batch    588, Loss  0.605508, Average Loss  0.611444, Time  0.258977
2021-09-15 04:24:22.519386 : Epoch  5, Batch    716, Loss  0.604284, Average Loss  0.605411, Time  0.231550
2021-09-15 04:24:23.544824 : Epoch  4, Batch    589, Loss  0.619181, Average Loss  0.611500, Time  0.257695
2021-09-15 04:24:24.061824 : Epoch  5, Batch    717, Loss  0.603705, Average Loss  0.605489, Time  0.231487
2021-09-15 04:24:25.065695 : Epoch  4, Batch    590, Loss  0.594455, Average Loss  0.611452, Time  0.239285
2021-09-15 04:24:25.601555 : Epoch  5, Batch    718, Loss  0.608311, Average Loss  0.605493, Time  0.231237
2021-09-15 04:24:26.586939 : Epoch  4, Batch    591, Loss  0.610840, Average Loss  0.611407, Time  0.238537
2021-09-15 04:24:27.142400 : Epoch  5, Batch    719, Loss  0.605131, Average Loss  0.605548, Time  0.233526
2021-09-15 04:24:28.114849 : Epoch  4, Batch    592, Loss  0.596613, Average Loss  0.611269, Time  0.239156
2021-09-15 04:24:28.692390 : Epoch  5, Batch    720, Loss  0.604570, Average Loss  0.605575, Time  0.231237
2021-09-15 04:24:29.656386 : Epoch  4, Batch    593, Loss  0.624270, Average Loss  0.611306, Time  0.242067
2021-09-15 04:24:30.237137 : Epoch  5, Batch    721, Loss  0.609197, Average Loss  0.605644, Time  0.231252
2021-09-15 04:24:31.180971 : Epoch  4, Batch    594, Loss  0.601427, Average Loss  0.611278, Time  0.240895
2021-09-15 04:24:31.773990 : Epoch  5, Batch    722, Loss  0.600372, Average Loss  0.605642, Time  0.231865
2021-09-15 04:24:32.697252 : Epoch  4, Batch    595, Loss  0.618627, Average Loss  0.611378, Time  0.236440
2021-09-15 04:24:34.224451 : Epoch  4, Batch    596, Loss  0.607067, Average Loss  0.611315, Time  0.237862
2021-09-15 04:24:35.730026 : Epoch  5, Batch    723, Loss  0.611428, Average Loss  0.605683, Time  0.267258
2021-09-15 04:24:35.766926 : Epoch  4, Batch    597, Loss  0.600853, Average Loss  0.611214, Time  0.241806
2021-09-15 04:24:37.256600 : Epoch  5, Batch    724, Loss  0.596479, Average Loss  0.605671, Time  0.231233
2021-09-15 04:24:37.301813 : Epoch  4, Batch    598, Loss  0.620052, Average Loss  0.611295, Time  0.240255
2021-09-15 04:24:38.785084 : Epoch  5, Batch    725, Loss  0.610755, Average Loss  0.605705, Time  0.231546
2021-09-15 04:24:38.845442 : Epoch  4, Batch    599, Loss  0.607468, Average Loss  0.611294, Time  0.238714
2021-09-15 04:24:40.312379 : Epoch  5, Batch    726, Loss  0.618055, Average Loss  0.605677, Time  0.231457
2021-09-15 04:24:40.372271 : Epoch  4, Batch    600, Loss  0.617738, Average Loss  0.611267, Time  0.239744
2021-09-15 04:24:41.843889 : Epoch  5, Batch    727, Loss  0.604587, Average Loss  0.605673, Time  0.235433
2021-09-15 04:24:41.894852 : Epoch  4, Batch    601, Loss  0.600155, Average Loss  0.611245, Time  0.237673
2021-09-15 04:24:43.367351 : Epoch  5, Batch    728, Loss  0.600022, Average Loss  0.605708, Time  0.231224
2021-09-15 04:24:43.425153 : Epoch  4, Batch    602, Loss  0.603585, Average Loss  0.611220, Time  0.241208
2021-09-15 04:24:44.898100 : Epoch  5, Batch    729, Loss  0.591429, Average Loss  0.605552, Time  0.231255
2021-09-15 04:24:44.968214 : Epoch  4, Batch    603, Loss  0.622788, Average Loss  0.611258, Time  0.242180
2021-09-15 04:24:46.428972 : Epoch  5, Batch    730, Loss  0.608715, Average Loss  0.605557, Time  0.231545
2021-09-15 04:24:46.508337 : Epoch  4, Batch    604, Loss  0.612891, Average Loss  0.611292, Time  0.240722
2021-09-15 04:24:47.961376 : Epoch  5, Batch    731, Loss  0.598788, Average Loss  0.605506, Time  0.230981
2021-09-15 04:24:48.212210 : Epoch  4, Batch    605, Loss  0.607363, Average Loss  0.611283, Time  0.261358
2021-09-15 04:24:49.490676 : Epoch  5, Batch    732, Loss  0.601075, Average Loss  0.605517, Time  0.231013
2021-09-15 04:24:49.892408 : Epoch  4, Batch    606, Loss  0.620605, Average Loss  0.611348, Time  0.258659
2021-09-15 04:24:51.013043 : Epoch  5, Batch    733, Loss  0.606576, Average Loss  0.605504, Time  0.231491
2021-09-15 04:24:51.579883 : Epoch  4, Batch    607, Loss  0.610855, Average Loss  0.611344, Time  0.260466
2021-09-15 04:24:52.543187 : Epoch  5, Batch    734, Loss  0.597907, Average Loss  0.605486, Time  0.231411
2021-09-15 04:24:53.264203 : Epoch  4, Batch    608, Loss  0.619336, Average Loss  0.611418, Time  0.267922
2021-09-15 04:24:54.129553 : Epoch  5, Batch    735, Loss  0.602378, Average Loss  0.605500, Time  0.231956
2021-09-15 04:24:54.941419 : Epoch  4, Batch    609, Loss  0.612428, Average Loss  0.611418, Time  0.259710
2021-09-15 04:24:55.659160 : Epoch  5, Batch    736, Loss  0.608179, Average Loss  0.605559, Time  0.231665
2021-09-15 04:24:57.188619 : Epoch  5, Batch    737, Loss  0.595159, Average Loss  0.605550, Time  0.231087
2021-09-15 04:24:58.731352 : Epoch  5, Batch    738, Loss  0.605304, Average Loss  0.605536, Time  0.231189
2021-09-15 04:24:58.967480 : Epoch  4, Batch    610, Loss  0.619527, Average Loss  0.611449, Time  0.284069
2021-09-15 04:25:00.256009 : Epoch  5, Batch    739, Loss  0.607374, Average Loss  0.605571, Time  0.230074
2021-09-15 04:25:00.655115 : Epoch  4, Batch    611, Loss  0.613067, Average Loss  0.611479, Time  0.264012
2021-09-15 04:25:01.795902 : Epoch  5, Batch    740, Loss  0.604855, Average Loss  0.605611, Time  0.231501
2021-09-15 04:25:02.187154 : Epoch  4, Batch    612, Loss  0.606852, Average Loss  0.611463, Time  0.240346
2021-09-15 04:25:02.362031 : Epoch  4, Batch    613, Loss  0.455722, Average Loss  0.610693, Time  0.131602
2021-09-15 04:25:03.396641 : Epoch  5, Batch    741, Loss  0.596790, Average Loss  0.605567, Time  0.234866
2021-09-15 04:25:03.950258 : Epoch  4, Batch    614, Loss  0.606231, Average Loss  0.610594, Time  0.239599
2021-09-15 04:25:04.942408 : Epoch  5, Batch    742, Loss  0.602981, Average Loss  0.605567, Time  0.231959
2021-09-15 04:25:05.484201 : Epoch  4, Batch    615, Loss  0.635782, Average Loss  0.610718, Time  0.238860
2021-09-15 04:25:06.505897 : Epoch  5, Batch    743, Loss  0.596408, Average Loss  0.605462, Time  0.231116
2021-09-15 04:25:07.015068 : Epoch  4, Batch    616, Loss  0.622229, Average Loss  0.610806, Time  0.239985
2021-09-15 04:25:08.060712 : Epoch  5, Batch    744, Loss  0.601694, Average Loss  0.605474, Time  0.232643
2021-09-15 04:25:08.527155 : Epoch  4, Batch    617, Loss  0.620302, Average Loss  0.610897, Time  0.237149
2021-09-15 04:25:09.605332 : Epoch  5, Batch    745, Loss  0.610407, Average Loss  0.605517, Time  0.231426
2021-09-15 04:25:10.072475 : Epoch  4, Batch    618, Loss  0.612452, Average Loss  0.610884, Time  0.240511
2021-09-15 04:25:11.180409 : Epoch  5, Batch    746, Loss  0.609188, Average Loss  0.605521, Time  0.231489
2021-09-15 04:25:11.799333 : Epoch  4, Batch    619, Loss  0.602402, Average Loss  0.610866, Time  0.261822
2021-09-15 04:25:12.734378 : Epoch  5, Batch    747, Loss  0.604748, Average Loss  0.605423, Time  0.232126
2021-09-15 04:25:13.502298 : Epoch  4, Batch    620, Loss  0.627400, Average Loss  0.610946, Time  0.258457
2021-09-15 04:25:14.289223 : Epoch  5, Batch    748, Loss  0.610995, Average Loss  0.605415, Time  0.232821
2021-09-15 04:25:15.183261 : Epoch  4, Batch    621, Loss  0.622761, Average Loss  0.611020, Time  0.257382
2021-09-15 04:25:15.835652 : Epoch  5, Batch    749, Loss  0.595715, Average Loss  0.605323, Time  0.232140
2021-09-15 04:25:16.726960 : Epoch  4, Batch    622, Loss  0.622717, Average Loss  0.611065, Time  0.239685
2021-09-15 04:25:17.371347 : Epoch  5, Batch    750, Loss  0.608567, Average Loss  0.605276, Time  0.231950
2021-09-15 04:25:18.260976 : Epoch  4, Batch    623, Loss  0.613776, Average Loss  0.611102, Time  0.240524
2021-09-15 04:25:18.920621 : Epoch  5, Batch    751, Loss  0.603315, Average Loss  0.605245, Time  0.231224
2021-09-15 04:25:19.964358 : Epoch  4, Batch    624, Loss  0.608329, Average Loss  0.611143, Time  0.259037
2021-09-15 04:25:20.479811 : Epoch  5, Batch    752, Loss  0.610137, Average Loss  0.605295, Time  0.231967
2021-09-15 04:25:21.492964 : Epoch  4, Batch    625, Loss  0.597766, Average Loss  0.611045, Time  0.239985
2021-09-15 04:25:23.051100 : Epoch  4, Batch    626, Loss  0.625338, Average Loss  0.611085, Time  0.241292
2021-09-15 04:25:24.578878 : Epoch  4, Batch    627, Loss  0.618948, Average Loss  0.611154, Time  0.237680
2021-09-15 04:25:26.113355 : Epoch  4, Batch    628, Loss  0.618937, Average Loss  0.611107, Time  0.239983
2021-09-15 04:25:27.645366 : Epoch  4, Batch    629, Loss  0.618423, Average Loss  0.611113, Time  0.240474
2021-09-15 04:25:29.172884 : Epoch  4, Batch    630, Loss  0.616708, Average Loss  0.611103, Time  0.240830
2021-09-15 04:25:30.702346 : Epoch  4, Batch    631, Loss  0.615149, Average Loss  0.611070, Time  0.240040
2021-09-15 04:25:32.251125 : Epoch  4, Batch    632, Loss  0.603193, Average Loss  0.611045, Time  0.238586
2021-09-15 04:25:33.791632 : Epoch  4, Batch    633, Loss  0.610784, Average Loss  0.611041, Time  0.240613
2021-09-15 04:25:35.322478 : Epoch  4, Batch    634, Loss  0.612406, Average Loss  0.610986, Time  0.238680
2021-09-15 04:25:36.849892 : Epoch  4, Batch    635, Loss  0.622104, Average Loss  0.611054, Time  0.238514
2021-09-15 04:25:38.375338 : Epoch  4, Batch    636, Loss  0.614918, Average Loss  0.611107, Time  0.239310
2021-09-15 04:25:39.907408 : Epoch  4, Batch    637, Loss  0.601677, Average Loss  0.611091, Time  0.239878
2021-09-15 04:25:41.431793 : Epoch  4, Batch    638, Loss  0.605222, Average Loss  0.611010, Time  0.237459
2021-09-15 04:25:45.376300 : Epoch  4, Batch    639, Loss  0.605793, Average Loss  0.611044, Time  0.270357
2021-09-15 04:26:18.668712 : CheckPoint: Validation Loss  0.00025492, Best Loss  0.00024571
2021-09-15 04:26:20.220967 : Epoch  5, Batch    753, Loss  0.604703, Average Loss  0.605290, Time  0.231943
2021-09-15 04:26:21.771980 : Epoch  5, Batch    754, Loss  0.604054, Average Loss  0.605317, Time  0.231054
2021-09-15 04:26:23.323001 : Epoch  5, Batch    755, Loss  0.608266, Average Loss  0.605240, Time  0.231663
2021-09-15 04:26:24.861303 : Epoch  5, Batch    756, Loss  0.601291, Average Loss  0.605203, Time  0.231251
2021-09-15 04:26:26.411003 : Epoch  5, Batch    757, Loss  0.604049, Average Loss  0.605209, Time  0.231571
2021-09-15 04:26:27.965388 : Epoch  5, Batch    758, Loss  0.615083, Average Loss  0.605240, Time  0.232030
2021-09-15 04:26:29.515369 : Epoch  5, Batch    759, Loss  0.601491, Average Loss  0.605223, Time  0.233019
2021-09-15 04:26:31.077159 : Epoch  5, Batch    760, Loss  0.609318, Average Loss  0.605265, Time  0.232619
2021-09-15 04:26:32.617826 : Epoch  5, Batch    761, Loss  0.587965, Average Loss  0.605120, Time  0.232453
2021-09-15 04:26:34.158099 : Epoch  5, Batch    762, Loss  0.616978, Average Loss  0.605170, Time  0.231965
2021-09-15 04:26:35.695032 : Epoch  5, Batch    763, Loss  0.592073, Average Loss  0.605051, Time  0.231002
2021-09-15 04:26:37.260352 : Epoch  5, Batch    764, Loss  0.587910, Average Loss  0.604920, Time  0.232072
2021-09-15 04:26:38.798973 : Epoch  5, Batch    765, Loss  0.607121, Average Loss  0.604908, Time  0.230769
2021-09-15 04:26:40.330173 : Epoch  5, Batch    766, Loss  0.603264, Average Loss  0.604902, Time  0.231236
2021-09-15 04:26:41.874061 : Epoch  5, Batch    767, Loss  0.615120, Average Loss  0.604986, Time  0.231328
2021-09-15 04:26:42.205691 : CheckPoint: Validation Loss  0.00025571, Best Loss  0.00024972
2021-09-15 04:26:43.430803 : Epoch  5, Batch    768, Loss  0.602944, Average Loss  0.605021, Time  0.231175
2021-09-15 04:26:43.724981 : Epoch  4, Batch    640, Loss  0.607010, Average Loss  0.611054, Time  0.240787
2021-09-15 04:26:44.967350 : Epoch  5, Batch    769, Loss  0.595251, Average Loss  0.605025, Time  0.231088
2021-09-15 04:26:45.243007 : Epoch  4, Batch    641, Loss  0.600894, Average Loss  0.610997, Time  0.239743
2021-09-15 04:26:46.513214 : Epoch  5, Batch    770, Loss  0.598483, Average Loss  0.605028, Time  0.235592
2021-09-15 04:26:46.760016 : Epoch  4, Batch    642, Loss  0.614698, Average Loss  0.611005, Time  0.238521
2021-09-15 04:26:48.049853 : Epoch  5, Batch    771, Loss  0.593995, Average Loss  0.604945, Time  0.231279
2021-09-15 04:26:48.275377 : Epoch  4, Batch    643, Loss  0.600832, Average Loss  0.610952, Time  0.240424
2021-09-15 04:26:49.595848 : Epoch  5, Batch    772, Loss  0.619446, Average Loss  0.604990, Time  0.231761
2021-09-15 04:26:49.801995 : Epoch  4, Batch    644, Loss  0.613519, Average Loss  0.610949, Time  0.240722
2021-09-15 04:26:51.218338 : Epoch  5, Batch    773, Loss  0.598815, Average Loss  0.604974, Time  0.241202
2021-09-15 04:26:51.323919 : Epoch  4, Batch    645, Loss  0.611100, Average Loss  0.610862, Time  0.240940
2021-09-15 04:26:52.764290 : Epoch  5, Batch    774, Loss  0.596330, Average Loss  0.604934, Time  0.230859
2021-09-15 04:26:52.836134 : Epoch  4, Batch    646, Loss  0.606055, Average Loss  0.610865, Time  0.238457
2021-09-15 04:26:54.299066 : Epoch  5, Batch    775, Loss  0.597490, Average Loss  0.604944, Time  0.230500
2021-09-15 04:26:54.357127 : Epoch  4, Batch    647, Loss  0.621955, Average Loss  0.610890, Time  0.236755
2021-09-15 04:26:55.833865 : Epoch  5, Batch    776, Loss  0.624586, Average Loss  0.605010, Time  0.230860
2021-09-15 04:26:55.872489 : Epoch  4, Batch    648, Loss  0.617840, Average Loss  0.610991, Time  0.236960
2021-09-15 04:26:57.359407 : Epoch  5, Batch    777, Loss  0.591800, Average Loss  0.604928, Time  0.230884
2021-09-15 04:26:57.395019 : Epoch  4, Batch    649, Loss  0.614045, Average Loss  0.611003, Time  0.238337
2021-09-15 04:26:58.889926 : Epoch  5, Batch    778, Loss  0.620923, Average Loss  0.605017, Time  0.231081
2021-09-15 04:26:58.924924 : Epoch  4, Batch    650, Loss  0.603736, Average Loss  0.610937, Time  0.237026
2021-09-15 04:27:00.434801 : Epoch  5, Batch    779, Loss  0.610913, Average Loss  0.605092, Time  0.231281
2021-09-15 04:27:00.476425 : Epoch  4, Batch    651, Loss  0.604697, Average Loss  0.610893, Time  0.240120
2021-09-15 04:27:01.975001 : Epoch  5, Batch    780, Loss  0.593745, Average Loss  0.605027, Time  0.233458
2021-09-15 04:27:02.011087 : Epoch  4, Batch    652, Loss  0.611923, Average Loss  0.610857, Time  0.239797
2021-09-15 04:27:03.521976 : Epoch  5, Batch    781, Loss  0.602784, Average Loss  0.604999, Time  0.231539
2021-09-15 04:27:03.561448 : Epoch  4, Batch    653, Loss  0.613986, Average Loss  0.610884, Time  0.239295
2021-09-15 04:27:05.067505 : Epoch  5, Batch    782, Loss  0.603601, Average Loss  0.605012, Time  0.231200
2021-09-15 04:27:05.101381 : Epoch  4, Batch    654, Loss  0.620324, Average Loss  0.610937, Time  0.238116
2021-09-15 04:27:06.607930 : Epoch  5, Batch    783, Loss  0.604179, Average Loss  0.605058, Time  0.233245
2021-09-15 04:27:06.618803 : CheckPoint: Validation Loss  0.00030440, Best Loss  0.00029921
2021-09-15 04:27:06.640419 : Epoch  4, Batch    655, Loss  0.622208, Average Loss  0.610988, Time  0.240215
2021-09-15 04:27:08.141400 : Epoch  5, Batch    784, Loss  0.605387, Average Loss  0.605046, Time  0.231056
2021-09-15 04:27:08.182356 : Epoch  4, Batch    656, Loss  0.616996, Average Loss  0.611024, Time  0.238871
2021-09-15 04:27:09.651949 : Epoch  1, Batch   1401, Loss  0.880000, Average Loss  0.875958, Time  0.267304
2021-09-15 04:27:09.680597 : Epoch  5, Batch    785, Loss  0.606631, Average Loss  0.605084, Time  0.230714
2021-09-15 04:27:09.718396 : Epoch  4, Batch    657, Loss  0.609438, Average Loss  0.610978, Time  0.238574
2021-09-15 04:27:11.220861 : Epoch  5, Batch    786, Loss  0.613663, Average Loss  0.605075, Time  0.231928
2021-09-15 04:27:11.260003 : Epoch  4, Batch    658, Loss  0.607542, Average Loss  0.611025, Time  0.239049
2021-09-15 04:27:12.684459 : Epoch  1, Batch   1402, Loss  0.897366, Average Loss  0.875956, Time  0.264183
2021-09-15 04:27:12.765061 : Epoch  5, Batch    787, Loss  0.600378, Average Loss  0.605037, Time  0.230988
2021-09-15 04:27:12.801472 : Epoch  4, Batch    659, Loss  0.614959, Average Loss  0.611039, Time  0.241088
2021-09-15 04:27:12.827533 : Saving Model after 5-th Epoch.
2021-09-15 04:27:13.780825 : Epoch Finished.
2021-09-15 04:27:14.321813 : Epoch  4, Batch    660, Loss  0.615201, Average Loss  0.611077, Time  0.240924
2021-09-15 04:27:15.697777 : Epoch  1, Batch   1403, Loss  0.869132, Average Loss  0.875899, Time  0.265828
2021-09-15 04:27:15.851916 : Epoch  4, Batch    661, Loss  0.612571, Average Loss  0.611034, Time  0.242109
2021-09-15 04:27:16.180010 : Batch Shuffled
2021-09-15 04:27:17.364320 : Epoch  4, Batch    662, Loss  0.613788, Average Loss  0.611093, Time  0.238936
2021-09-15 04:27:17.736894 : Epoch  6, Batch      1, Loss  0.605286, Average Loss  0.605072, Time  0.265475
2021-09-15 04:27:18.703941 : Epoch  1, Batch   1404, Loss  0.878352, Average Loss  0.875941, Time  0.264334
2021-09-15 04:27:18.906923 : Epoch  4, Batch    663, Loss  0.603006, Average Loss  0.611015, Time  0.240353
2021-09-15 04:27:19.259861 : Epoch  6, Batch      2, Loss  0.605165, Average Loss  0.605065, Time  0.235319
2021-09-15 04:27:20.443353 : Epoch  4, Batch    664, Loss  0.625787, Average Loss  0.611066, Time  0.240744
2021-09-15 04:27:20.794538 : Epoch  6, Batch      3, Loss  0.602328, Average Loss  0.605005, Time  0.231760
2021-09-15 04:27:21.700560 : Epoch  1, Batch   1405, Loss  0.869250, Average Loss  0.875950, Time  0.264341
2021-09-15 04:27:22.126826 : Epoch  4, Batch    665, Loss  0.618877, Average Loss  0.611085, Time  0.262368
2021-09-15 04:27:22.319558 : Epoch  6, Batch      4, Loss  0.617394, Average Loss  0.605079, Time  0.232241
2021-09-15 04:27:23.795343 : Epoch  4, Batch    666, Loss  0.604472, Average Loss  0.611016, Time  0.257059
2021-09-15 04:27:23.853401 : Epoch  6, Batch      5, Loss  0.615603, Average Loss  0.605194, Time  0.231105
2021-09-15 04:27:24.699020 : Epoch  1, Batch   1406, Loss  0.873542, Average Loss  0.875941, Time  0.264773
2021-09-15 04:27:25.383019 : Epoch  6, Batch      6, Loss  0.609700, Average Loss  0.605161, Time  0.232336
2021-09-15 04:27:25.490989 : Epoch  4, Batch    667, Loss  0.611152, Average Loss  0.611031, Time  0.260083
2021-09-15 04:27:26.912374 : Epoch  6, Batch      7, Loss  0.597776, Average Loss  0.605111, Time  0.231144
2021-09-15 04:27:27.164420 : Epoch  4, Batch    668, Loss  0.616370, Average Loss  0.611043, Time  0.257726
2021-09-15 04:27:27.705037 : Epoch  1, Batch   1407, Loss  0.849669, Average Loss  0.875747, Time  0.265915
2021-09-15 04:27:28.461940 : Epoch  6, Batch      8, Loss  0.614478, Average Loss  0.605156, Time  0.232064
2021-09-15 04:27:28.840784 : Epoch  4, Batch    669, Loss  0.614660, Average Loss  0.611031, Time  0.258686
2021-09-15 04:27:29.998347 : Epoch  6, Batch      9, Loss  0.595680, Average Loss  0.605121, Time  0.231205
2021-09-15 04:27:30.356936 : Epoch  4, Batch    670, Loss  0.610851, Average Loss  0.610999, Time  0.238922
2021-09-15 04:27:30.704325 : Epoch  1, Batch   1408, Loss  0.882232, Average Loss  0.875756, Time  0.264701
2021-09-15 04:27:31.534559 : Epoch  6, Batch     10, Loss  0.601820, Average Loss  0.605100, Time  0.231307
2021-09-15 04:27:31.873782 : Epoch  4, Batch    671, Loss  0.607327, Average Loss  0.610962, Time  0.241393
2021-09-15 04:27:33.070777 : Epoch  6, Batch     11, Loss  0.599938, Average Loss  0.605033, Time  0.231994
2021-09-15 04:27:33.395144 : Epoch  4, Batch    672, Loss  0.611135, Average Loss  0.611002, Time  0.240293
2021-09-15 04:27:33.693010 : Epoch  1, Batch   1409, Loss  0.857541, Average Loss  0.875712, Time  0.270977
2021-09-15 04:27:34.608386 : Epoch  6, Batch     12, Loss  0.612094, Average Loss  0.605039, Time  0.231203
2021-09-15 04:27:34.906763 : Epoch  4, Batch    673, Loss  0.608599, Average Loss  0.610977, Time  0.241659
2021-09-15 04:27:36.146144 : Epoch  6, Batch     13, Loss  0.612852, Average Loss  0.605041, Time  0.231366
2021-09-15 04:27:36.411336 : Epoch  4, Batch    674, Loss  0.603403, Average Loss  0.610896, Time  0.237336
2021-09-15 04:27:36.699772 : Epoch  1, Batch   1410, Loss  0.897700, Average Loss  0.875808, Time  0.265879
2021-09-15 04:27:37.683092 : Epoch  6, Batch     14, Loss  0.598232, Average Loss  0.605018, Time  0.231500
2021-09-15 04:27:37.925055 : Epoch  4, Batch    675, Loss  0.616367, Average Loss  0.610926, Time  0.240984
2021-09-15 04:27:39.220504 : Epoch  6, Batch     15, Loss  0.600283, Average Loss  0.604993, Time  0.231296
2021-09-15 04:27:39.430826 : Epoch  4, Batch    676, Loss  0.609096, Average Loss  0.610909, Time  0.238464
2021-09-15 04:27:39.693616 : Epoch  1, Batch   1411, Loss  0.875399, Average Loss  0.875817, Time  0.265644
2021-09-15 04:27:40.758028 : Epoch  6, Batch     16, Loss  0.607360, Average Loss  0.604988, Time  0.231206
2021-09-15 04:27:40.943022 : Epoch  4, Batch    677, Loss  0.613905, Average Loss  0.610891, Time  0.242825
2021-09-15 04:27:42.289214 : Epoch  6, Batch     17, Loss  0.598936, Average Loss  0.604899, Time  0.231386
2021-09-15 04:27:42.462920 : Epoch  4, Batch    678, Loss  0.597032, Average Loss  0.610798, Time  0.239351
2021-09-15 04:27:42.684211 : Epoch  1, Batch   1412, Loss  0.871003, Average Loss  0.875659, Time  0.264041
2021-09-15 04:27:43.821372 : Epoch  6, Batch     18, Loss  0.602876, Average Loss  0.604911, Time  0.230851
2021-09-15 04:27:43.967829 : Epoch  4, Batch    679, Loss  0.608425, Average Loss  0.610815, Time  0.237887
2021-09-15 04:27:45.360038 : Epoch  6, Batch     19, Loss  0.588239, Average Loss  0.604767, Time  0.231427
2021-09-15 04:27:45.478353 : Epoch  4, Batch    680, Loss  0.603700, Average Loss  0.610782, Time  0.238112
2021-09-15 04:27:45.670866 : Epoch  1, Batch   1413, Loss  0.871997, Average Loss  0.875604, Time  0.264382
2021-09-15 04:27:46.904577 : Epoch  6, Batch     20, Loss  0.606297, Average Loss  0.604813, Time  0.231220
2021-09-15 04:27:47.000414 : Epoch  4, Batch    681, Loss  0.623914, Average Loss  0.610842, Time  0.239657
2021-09-15 04:27:48.436120 : Epoch  6, Batch     21, Loss  0.595467, Average Loss  0.604754, Time  0.231438
2021-09-15 04:27:48.523416 : Epoch  4, Batch    682, Loss  0.597247, Average Loss  0.610778, Time  0.238936
2021-09-15 04:27:48.666686 : Epoch  1, Batch   1414, Loss  0.879234, Average Loss  0.875572, Time  0.266008
2021-09-15 04:27:49.968146 : Epoch  6, Batch     22, Loss  0.602888, Average Loss  0.604723, Time  0.233068
2021-09-15 04:27:50.037292 : Epoch  4, Batch    683, Loss  0.606947, Average Loss  0.610764, Time  0.242072
2021-09-15 04:27:51.503920 : Epoch  6, Batch     23, Loss  0.609102, Average Loss  0.604735, Time  0.231590
2021-09-15 04:27:51.556165 : Epoch  4, Batch    684, Loss  0.613221, Average Loss  0.610765, Time  0.240278
2021-09-15 04:27:51.658983 : Epoch  1, Batch   1415, Loss  0.890720, Average Loss  0.875576, Time  0.264822
2021-09-15 04:27:53.048583 : Epoch  6, Batch     24, Loss  0.605265, Average Loss  0.604758, Time  0.234437
2021-09-15 04:27:53.082825 : Epoch  4, Batch    685, Loss  0.605796, Average Loss  0.610790, Time  0.239341
2021-09-15 04:27:54.582171 : Epoch  6, Batch     25, Loss  0.611067, Average Loss  0.604732, Time  0.233255
2021-09-15 04:27:54.615471 : Epoch  4, Batch    686, Loss  0.611136, Average Loss  0.610750, Time  0.239286
2021-09-15 04:27:54.663437 : Epoch  1, Batch   1416, Loss  0.885835, Average Loss  0.875798, Time  0.266793
2021-09-15 04:27:56.115665 : Epoch  6, Batch     26, Loss  0.607103, Average Loss  0.604733, Time  0.231250
2021-09-15 04:27:56.148789 : Epoch  4, Batch    687, Loss  0.614734, Average Loss  0.610714, Time  0.238716
2021-09-15 04:27:57.655086 : Epoch  6, Batch     27, Loss  0.591819, Average Loss  0.604620, Time  0.236400
2021-09-15 04:27:57.676783 : Epoch  1, Batch   1417, Loss  0.867233, Average Loss  0.875647, Time  0.266271
2021-09-15 04:27:57.688866 : Epoch  4, Batch    688, Loss  0.603499, Average Loss  0.610709, Time  0.237808
2021-09-15 04:27:59.192027 : Epoch  6, Batch     28, Loss  0.615246, Average Loss  0.604614, Time  0.232821
2021-09-15 04:27:59.232878 : Epoch  4, Batch    689, Loss  0.611141, Average Loss  0.610749, Time  0.238882
2021-09-15 04:28:00.661109 : Epoch  1, Batch   1418, Loss  0.887241, Average Loss  0.875734, Time  0.264957
2021-09-15 04:28:00.730805 : Epoch  6, Batch     29, Loss  0.601060, Average Loss  0.604575, Time  0.232110
2021-09-15 04:28:00.772877 : Epoch  4, Batch    690, Loss  0.614774, Average Loss  0.610766, Time  0.240474
2021-09-15 04:28:02.275450 : Epoch  6, Batch     30, Loss  0.614519, Average Loss  0.604600, Time  0.231212
2021-09-15 04:28:02.308624 : Epoch  4, Batch    691, Loss  0.612626, Average Loss  0.610792, Time  0.241683
2021-09-15 04:28:03.670388 : Epoch  1, Batch   1419, Loss  0.866615, Average Loss  0.875640, Time  0.265651
2021-09-15 04:28:03.820313 : Epoch  6, Batch     31, Loss  0.607318, Average Loss  0.604563, Time  0.231977
2021-09-15 04:28:03.853289 : Epoch  4, Batch    692, Loss  0.607466, Average Loss  0.610757, Time  0.238341
2021-09-15 04:28:05.352215 : Epoch  6, Batch     32, Loss  0.587075, Average Loss  0.604532, Time  0.231497
2021-09-15 04:28:05.389965 : Epoch  4, Batch    693, Loss  0.620134, Average Loss  0.610794, Time  0.238066
2021-09-15 04:28:06.707508 : Epoch  1, Batch   1420, Loss  0.881895, Average Loss  0.875723, Time  0.265633
2021-09-15 04:28:06.891453 : Epoch  6, Batch     33, Loss  0.595475, Average Loss  0.604515, Time  0.231087
2021-09-15 04:28:07.082943 : Epoch  4, Batch    694, Loss  0.603768, Average Loss  0.610751, Time  0.258620
2021-09-15 04:28:08.449567 : Epoch  6, Batch     34, Loss  0.612303, Average Loss  0.604568, Time  0.231150
2021-09-15 04:28:08.676826 : Epoch  4, Batch    695, Loss  0.598917, Average Loss  0.610696, Time  0.239701
2021-09-15 04:28:09.755594 : Epoch  1, Batch   1421, Loss  0.885870, Average Loss  0.875832, Time  0.265554
2021-09-15 04:28:09.986212 : Epoch  6, Batch     35, Loss  0.600165, Average Loss  0.604536, Time  0.231261
2021-09-15 04:28:10.212182 : Epoch  4, Batch    696, Loss  0.620425, Average Loss  0.610752, Time  0.246882
2021-09-15 04:28:11.524414 : Epoch  6, Batch     36, Loss  0.613327, Average Loss  0.604603, Time  0.230809
2021-09-15 04:28:11.883425 : Epoch  4, Batch    697, Loss  0.611789, Average Loss  0.610764, Time  0.256989
2021-09-15 04:28:12.771230 : Epoch  1, Batch   1422, Loss  0.853390, Average Loss  0.875768, Time  0.265936
2021-09-15 04:28:13.065927 : Epoch  6, Batch     37, Loss  0.608840, Average Loss  0.604596, Time  0.231435
2021-09-15 04:28:13.567031 : Epoch  4, Batch    698, Loss  0.606986, Average Loss  0.610783, Time  0.260663
2021-09-15 04:28:14.620793 : Epoch  6, Batch     38, Loss  0.593099, Average Loss  0.604470, Time  0.231163
2021-09-15 04:28:15.250996 : Epoch  4, Batch    699, Loss  0.618850, Average Loss  0.610846, Time  0.262748
2021-09-15 04:28:15.795717 : Epoch  1, Batch   1423, Loss  0.887556, Average Loss  0.875847, Time  0.265401
2021-09-15 04:28:16.163021 : Epoch  6, Batch     39, Loss  0.596177, Average Loss  0.604467, Time  0.231316
2021-09-15 04:28:16.930636 : Epoch  4, Batch    700, Loss  0.615658, Average Loss  0.610822, Time  0.257439
2021-09-15 04:28:17.699108 : Epoch  6, Batch     40, Loss  0.603025, Average Loss  0.604425, Time  0.231138
2021-09-15 04:28:18.602394 : Epoch  4, Batch    701, Loss  0.615377, Average Loss  0.610859, Time  0.257328
2021-09-15 04:28:18.809561 : Epoch  1, Batch   1424, Loss  0.866210, Average Loss  0.875777, Time  0.271970
2021-09-15 04:28:19.245038 : Epoch  6, Batch     41, Loss  0.595562, Average Loss  0.604391, Time  0.231467
2021-09-15 04:28:20.158368 : Epoch  4, Batch    702, Loss  0.615098, Average Loss  0.610860, Time  0.240796
2021-09-15 04:28:20.779974 : Epoch  6, Batch     42, Loss  0.601696, Average Loss  0.604354, Time  0.231174
2021-09-15 04:28:21.706468 : Epoch  4, Batch    703, Loss  0.601514, Average Loss  0.610822, Time  0.238920
2021-09-15 04:28:21.826839 : Epoch  1, Batch   1425, Loss  0.873109, Average Loss  0.875840, Time  0.265635
2021-09-15 04:28:22.342241 : Epoch  6, Batch     43, Loss  0.606381, Average Loss  0.604360, Time  0.231571
2021-09-15 04:28:23.242788 : Epoch  4, Batch    704, Loss  0.619546, Average Loss  0.610854, Time  0.239480
2021-09-15 04:28:23.891072 : Epoch  6, Batch     44, Loss  0.618744, Average Loss  0.604424, Time  0.232835
2021-09-15 04:28:24.838616 : Epoch  1, Batch   1426, Loss  0.883204, Average Loss  0.875835, Time  0.264536
2021-09-15 04:28:24.898003 : Epoch  4, Batch    705, Loss  0.613090, Average Loss  0.610920, Time  0.242280
2021-09-15 04:28:25.428871 : Epoch  6, Batch     45, Loss  0.615689, Average Loss  0.604465, Time  0.231412
2021-09-15 04:28:26.443194 : Epoch  4, Batch    706, Loss  0.615706, Average Loss  0.610959, Time  0.239830
2021-09-15 04:28:26.972086 : Epoch  6, Batch     46, Loss  0.609497, Average Loss  0.604468, Time  0.231893
2021-09-15 04:28:27.846392 : Epoch  1, Batch   1427, Loss  0.883699, Average Loss  0.875937, Time  0.265159
2021-09-15 04:28:27.978454 : Epoch  4, Batch    707, Loss  0.616825, Average Loss  0.610966, Time  0.239117
2021-09-15 04:28:28.510377 : Epoch  6, Batch     47, Loss  0.596358, Average Loss  0.604424, Time  0.231631
2021-09-15 04:28:29.511840 : Epoch  4, Batch    708, Loss  0.607385, Average Loss  0.610996, Time  0.241982
2021-09-15 04:28:30.057157 : Epoch  6, Batch     48, Loss  0.606573, Average Loss  0.604488, Time  0.231277
2021-09-15 04:28:30.849394 : Epoch  1, Batch   1428, Loss  0.845367, Average Loss  0.875811, Time  0.265447
2021-09-15 04:28:31.035026 : Epoch  4, Batch    709, Loss  0.608526, Average Loss  0.610973, Time  0.238773
2021-09-15 04:28:31.601587 : Epoch  6, Batch     49, Loss  0.612276, Average Loss  0.604501, Time  0.231259
2021-09-15 04:28:33.144555 : Epoch  6, Batch     50, Loss  0.622649, Average Loss  0.604629, Time  0.231715
2021-09-15 04:28:33.852545 : Epoch  1, Batch   1429, Loss  0.883919, Average Loss  0.875959, Time  0.265629
2021-09-15 04:28:34.686023 : Epoch  6, Batch     51, Loss  0.615591, Average Loss  0.604670, Time  0.232337
2021-09-15 04:28:35.356951 : Epoch  4, Batch    710, Loss  0.615695, Average Loss  0.611008, Time  0.286223
2021-09-15 04:28:36.229277 : Epoch  6, Batch     52, Loss  0.612507, Average Loss  0.604684, Time  0.232049
2021-09-15 04:28:36.858778 : Epoch  1, Batch   1430, Loss  0.868042, Average Loss  0.875890, Time  0.265466
2021-09-15 04:28:36.916908 : Epoch  4, Batch    711, Loss  0.609371, Average Loss  0.611031, Time  0.254432
2021-09-15 04:28:37.772078 : Epoch  6, Batch     53, Loss  0.609683, Average Loss  0.604699, Time  0.232304
2021-09-15 04:28:38.444834 : Epoch  4, Batch    712, Loss  0.605406, Average Loss  0.610978, Time  0.238557
2021-09-15 04:28:39.320073 : Epoch  6, Batch     54, Loss  0.610116, Average Loss  0.604706, Time  0.231690
2021-09-15 04:28:39.878774 : Epoch  1, Batch   1431, Loss  0.872591, Average Loss  0.875939, Time  0.265367
2021-09-15 04:28:39.971784 : Epoch  4, Batch    713, Loss  0.609519, Average Loss  0.610975, Time  0.240201
2021-09-15 04:28:40.860374 : Epoch  6, Batch     55, Loss  0.606562, Average Loss  0.604723, Time  0.231483
2021-09-15 04:28:41.518875 : Epoch  4, Batch    714, Loss  0.616713, Average Loss  0.611022, Time  0.241213
2021-09-15 04:28:42.399795 : Epoch  6, Batch     56, Loss  0.604326, Average Loss  0.604692, Time  0.231844
2021-09-15 04:28:42.874416 : Epoch  1, Batch   1432, Loss  0.881556, Average Loss  0.875934, Time  0.265022
2021-09-15 04:28:43.037899 : Epoch  4, Batch    715, Loss  0.614197, Average Loss  0.610980, Time  0.237943
2021-09-15 04:28:43.937039 : Epoch  6, Batch     57, Loss  0.598494, Average Loss  0.604628, Time  0.231616
2021-09-15 04:28:44.563143 : Epoch  4, Batch    716, Loss  0.626283, Average Loss  0.611030, Time  0.240756
2021-09-15 04:28:45.475096 : Epoch  6, Batch     58, Loss  0.601963, Average Loss  0.604590, Time  0.231791
2021-09-15 04:28:45.870816 : Epoch  1, Batch   1433, Loss  0.890553, Average Loss  0.875977, Time  0.265020
2021-09-15 04:28:46.257870 : Epoch  4, Batch    717, Loss  0.616297, Average Loss  0.611068, Time  0.259140
2021-09-15 04:28:47.014311 : Epoch  6, Batch     59, Loss  0.601965, Average Loss  0.604534, Time  0.230731
2021-09-15 04:28:47.955220 : Epoch  4, Batch    718, Loss  0.603661, Average Loss  0.611043, Time  0.259480
2021-09-15 04:28:48.554937 : Epoch  6, Batch     60, Loss  0.615052, Average Loss  0.604574, Time  0.231377
2021-09-15 04:28:48.877400 : Epoch  1, Batch   1434, Loss  0.872835, Average Loss  0.875858, Time  0.264700
2021-09-15 04:28:49.638854 : Epoch  4, Batch    719, Loss  0.619715, Average Loss  0.611040, Time  0.259573
2021-09-15 04:28:50.108234 : Epoch  6, Batch     61, Loss  0.620882, Average Loss  0.604650, Time  0.231070
2021-09-15 04:28:51.329991 : Epoch  4, Batch    720, Loss  0.602251, Average Loss  0.611026, Time  0.257601
2021-09-15 04:28:51.653097 : Epoch  6, Batch     62, Loss  0.605196, Average Loss  0.604645, Time  0.232049
2021-09-15 04:28:51.889671 : Epoch  1, Batch   1435, Loss  0.854452, Average Loss  0.875695, Time  0.265372
2021-09-15 04:28:52.874146 : Epoch  4, Batch    721, Loss  0.605576, Average Loss  0.611039, Time  0.239162
2021-09-15 04:28:53.194346 : Epoch  6, Batch     63, Loss  0.619181, Average Loss  0.604739, Time  0.232812
2021-09-15 04:28:54.408038 : Epoch  4, Batch    722, Loss  0.622764, Average Loss  0.611029, Time  0.239147
2021-09-15 04:28:54.728270 : Epoch  6, Batch     64, Loss  0.594621, Average Loss  0.604709, Time  0.230939
2021-09-15 04:28:54.907134 : Epoch  1, Batch   1436, Loss  0.863228, Average Loss  0.875633, Time  0.267507
2021-09-15 04:28:56.087996 : Epoch  4, Batch    723, Loss  0.605647, Average Loss  0.611005, Time  0.256960
2021-09-15 04:28:57.764995 : Epoch  4, Batch    724, Loss  0.611033, Average Loss  0.610996, Time  0.256888
2021-09-15 04:28:57.905290 : Epoch  1, Batch   1437, Loss  0.887914, Average Loss  0.875709, Time  0.265974
2021-09-15 04:28:58.656807 : Epoch  6, Batch     65, Loss  0.595834, Average Loss  0.604739, Time  0.267135
2021-09-15 04:28:59.471224 : Epoch  4, Batch    725, Loss  0.611305, Average Loss  0.610988, Time  0.263936
2021-09-15 04:29:00.910837 : Epoch  1, Batch   1438, Loss  0.881449, Average Loss  0.875661, Time  0.264995
2021-09-15 04:29:01.159815 : Epoch  4, Batch    726, Loss  0.614660, Average Loss  0.611000, Time  0.260700
2021-09-15 04:29:02.685844 : Epoch  4, Batch    727, Loss  0.605712, Average Loss  0.611021, Time  0.240474
2021-09-15 04:29:03.910100 : Epoch  1, Batch   1439, Loss  0.877989, Average Loss  0.875694, Time  0.273399
2021-09-15 04:29:04.215529 : Epoch  4, Batch    728, Loss  0.607363, Average Loss  0.610998, Time  0.240752
2021-09-15 04:29:05.767897 : Epoch  4, Batch    729, Loss  0.604882, Average Loss  0.611037, Time  0.242583
2021-09-15 04:29:06.908115 : Epoch  1, Batch   1440, Loss  0.868602, Average Loss  0.875689, Time  0.265256
2021-09-15 04:29:07.301628 : Epoch  4, Batch    730, Loss  0.604225, Average Loss  0.611009, Time  0.240713
2021-09-15 04:29:09.004904 : Epoch  4, Batch    731, Loss  0.602357, Average Loss  0.610952, Time  0.260413
2021-09-15 04:29:09.922152 : Epoch  1, Batch   1441, Loss  0.884929, Average Loss  0.875643, Time  0.265697
2021-09-15 04:29:10.692389 : Epoch  4, Batch    732, Loss  0.617192, Average Loss  0.610978, Time  0.257249
2021-09-15 04:29:12.391500 : Epoch  4, Batch    733, Loss  0.604798, Average Loss  0.611015, Time  0.259176
2021-09-15 04:29:12.927491 : Epoch  1, Batch   1442, Loss  0.871880, Average Loss  0.875573, Time  0.264943
2021-09-15 04:29:14.084841 : Epoch  4, Batch    734, Loss  0.607724, Average Loss  0.610915, Time  0.257623
2021-09-15 04:29:15.767199 : Epoch  4, Batch    735, Loss  0.615968, Average Loss  0.610975, Time  0.256438
2021-09-15 04:29:15.955758 : Epoch  1, Batch   1443, Loss  0.882454, Average Loss  0.875646, Time  0.265555
2021-09-15 04:29:17.297229 : Epoch  4, Batch    736, Loss  0.604648, Average Loss  0.610963, Time  0.240570
2021-09-15 04:29:18.829398 : Epoch  4, Batch    737, Loss  0.610200, Average Loss  0.610906, Time  0.240408
2021-09-15 04:29:18.951775 : Epoch  1, Batch   1444, Loss  0.875078, Average Loss  0.875613, Time  0.264874
2021-09-15 04:29:20.365674 : Epoch  4, Batch    738, Loss  0.606091, Average Loss  0.610873, Time  0.239892
2021-09-15 04:29:21.928943 : Epoch  1, Batch   1445, Loss  0.885003, Average Loss  0.875585, Time  0.265767
2021-09-15 04:29:22.048228 : Epoch  4, Batch    739, Loss  0.617958, Average Loss  0.610939, Time  0.256612
2021-09-15 04:29:24.935050 : Epoch  1, Batch   1446, Loss  0.855058, Average Loss  0.875454, Time  0.264555
2021-09-15 04:29:27.917704 : Epoch  1, Batch   1447, Loss  0.878622, Average Loss  0.875474, Time  0.264472
2021-09-15 04:29:30.924859 : Epoch  1, Batch   1448, Loss  0.886243, Average Loss  0.875525, Time  0.265330
2021-09-15 04:29:33.938947 : Epoch  1, Batch   1449, Loss  0.841333, Average Loss  0.875292, Time  0.266417
2021-09-15 04:29:36.952646 : Epoch  1, Batch   1450, Loss  0.880280, Average Loss  0.875328, Time  0.264432
2021-09-15 04:29:39.957167 : Epoch  1, Batch   1451, Loss  0.875195, Average Loss  0.875232, Time  0.264641
2021-09-15 04:29:42.962878 : Epoch  1, Batch   1452, Loss  0.878318, Average Loss  0.875322, Time  0.265083
2021-09-15 04:29:45.998723 : Epoch  1, Batch   1453, Loss  0.881668, Average Loss  0.875257, Time  0.264641
2021-09-15 04:29:49.013752 : Epoch  1, Batch   1454, Loss  0.918920, Average Loss  0.875384, Time  0.275889
2021-09-15 04:29:52.028037 : Epoch  1, Batch   1455, Loss  0.869485, Average Loss  0.875400, Time  0.265894
2021-09-15 04:29:55.065740 : Epoch  1, Batch   1456, Loss  0.872849, Average Loss  0.875531, Time  0.266692
2021-09-15 04:29:56.210722 : CheckPoint: Validation Loss  0.00025924, Best Loss  0.00024571
2021-09-15 04:29:57.766934 : Epoch  6, Batch     66, Loss  0.598403, Average Loss  0.604642, Time  0.231761
2021-09-15 04:29:58.084700 : Epoch  1, Batch   1457, Loss  0.887437, Average Loss  0.875569, Time  0.266019
2021-09-15 04:29:59.329143 : Epoch  6, Batch     67, Loss  0.591734, Average Loss  0.604616, Time  0.231262
2021-09-15 04:30:00.885337 : Epoch  6, Batch     68, Loss  0.610663, Average Loss  0.604634, Time  0.232082
2021-09-15 04:30:01.073310 : Epoch  1, Batch   1458, Loss  0.881019, Average Loss  0.875770, Time  0.264950
2021-09-15 04:30:02.426996 : Epoch  6, Batch     69, Loss  0.596424, Average Loss  0.604580, Time  0.231071
2021-09-15 04:30:03.970830 : Epoch  6, Batch     70, Loss  0.607593, Average Loss  0.604625, Time  0.231673
2021-09-15 04:30:04.055012 : Epoch  1, Batch   1459, Loss  0.889821, Average Loss  0.875888, Time  0.264730
2021-09-15 04:30:05.507859 : Epoch  6, Batch     71, Loss  0.602661, Average Loss  0.604631, Time  0.231449
2021-09-15 04:30:07.053677 : Epoch  6, Batch     72, Loss  0.609378, Average Loss  0.604712, Time  0.231357
2021-09-15 04:30:07.096154 : Epoch  1, Batch   1460, Loss  0.866753, Average Loss  0.875850, Time  0.267642
2021-09-15 04:30:08.594782 : Epoch  6, Batch     73, Loss  0.589631, Average Loss  0.604624, Time  0.231365
2021-09-15 04:30:10.128426 : Epoch  6, Batch     74, Loss  0.607295, Average Loss  0.604628, Time  0.231708
2021-09-15 04:30:10.146279 : Epoch  1, Batch   1461, Loss  0.889741, Average Loss  0.875949, Time  0.265368
2021-09-15 04:30:11.676444 : Epoch  6, Batch     75, Loss  0.590522, Average Loss  0.604622, Time  0.231699
2021-09-15 04:30:13.205981 : Epoch  1, Batch   1462, Loss  0.887441, Average Loss  0.876173, Time  0.266003
2021-09-15 04:30:13.216483 : Epoch  6, Batch     76, Loss  0.611341, Average Loss  0.604640, Time  0.232586
2021-09-15 04:30:14.775328 : Epoch  6, Batch     77, Loss  0.601678, Average Loss  0.604581, Time  0.230797
2021-09-15 04:30:16.236924 : Epoch  1, Batch   1463, Loss  0.865297, Average Loss  0.876098, Time  0.264573
2021-09-15 04:30:16.317569 : Epoch  6, Batch     78, Loss  0.602364, Average Loss  0.604566, Time  0.231367
2021-09-15 04:30:17.858887 : Epoch  6, Batch     79, Loss  0.593089, Average Loss  0.604512, Time  0.231463
2021-09-15 04:30:19.152720 : CheckPoint: Validation Loss  0.00025824, Best Loss  0.00024972
2021-09-15 04:30:19.253555 : Epoch  1, Batch   1464, Loss  0.868478, Average Loss  0.876098, Time  0.265246
2021-09-15 04:30:19.399358 : Epoch  6, Batch     80, Loss  0.600021, Average Loss  0.604456, Time  0.230798
2021-09-15 04:30:20.677177 : Epoch  4, Batch    740, Loss  0.604367, Average Loss  0.610835, Time  0.239136
2021-09-15 04:30:20.941353 : Epoch  6, Batch     81, Loss  0.602138, Average Loss  0.604413, Time  0.231050
2021-09-15 04:30:22.211793 : Epoch  4, Batch    741, Loss  0.623869, Average Loss  0.610868, Time  0.240899
2021-09-15 04:30:22.268833 : Epoch  1, Batch   1465, Loss  0.860725, Average Loss  0.876066, Time  0.265325
2021-09-15 04:30:22.473944 : Epoch  6, Batch     82, Loss  0.605411, Average Loss  0.604448, Time  0.231144
2021-09-15 04:30:23.743048 : Epoch  4, Batch    742, Loss  0.609382, Average Loss  0.610844, Time  0.238234
2021-09-15 04:30:24.010137 : Epoch  6, Batch     83, Loss  0.589332, Average Loss  0.604350, Time  0.231512
2021-09-15 04:30:25.260794 : Epoch  1, Batch   1466, Loss  0.876640, Average Loss  0.876202, Time  0.264789
2021-09-15 04:30:25.445126 : Epoch  4, Batch    743, Loss  0.598087, Average Loss  0.610736, Time  0.258717
2021-09-15 04:30:25.542975 : Epoch  6, Batch     84, Loss  0.608039, Average Loss  0.604391, Time  0.231037
2021-09-15 04:30:26.982003 : Epoch  4, Batch    744, Loss  0.603790, Average Loss  0.610650, Time  0.239175
2021-09-15 04:30:27.085544 : Epoch  6, Batch     85, Loss  0.608042, Average Loss  0.604373, Time  0.231418
2021-09-15 04:30:28.266914 : Epoch  1, Batch   1467, Loss  0.894991, Average Loss  0.876206, Time  0.265038
2021-09-15 04:30:28.522371 : Epoch  4, Batch    745, Loss  0.611153, Average Loss  0.610667, Time  0.237720
2021-09-15 04:30:28.623324 : Epoch  6, Batch     86, Loss  0.608275, Average Loss  0.604376, Time  0.230888
2021-09-15 04:30:30.057746 : Epoch  4, Batch    746, Loss  0.596017, Average Loss  0.610662, Time  0.240959
2021-09-15 04:30:30.154994 : Epoch  6, Batch     87, Loss  0.604990, Average Loss  0.604416, Time  0.231467
2021-09-15 04:30:31.275254 : Epoch  1, Batch   1468, Loss  0.875732, Average Loss  0.876190, Time  0.264851
2021-09-15 04:30:31.599897 : Epoch  4, Batch    747, Loss  0.601411, Average Loss  0.610677, Time  0.241392
2021-09-15 04:30:31.689799 : Epoch  6, Batch     88, Loss  0.616539, Average Loss  0.604445, Time  0.231676
2021-09-15 04:30:33.142830 : Epoch  4, Batch    748, Loss  0.620689, Average Loss  0.610771, Time  0.239290
2021-09-15 04:30:33.234037 : Epoch  6, Batch     89, Loss  0.602086, Average Loss  0.604473, Time  0.231172
2021-09-15 04:30:34.316352 : Epoch  1, Batch   1469, Loss  0.892934, Average Loss  0.876273, Time  0.274683
2021-09-15 04:30:34.681505 : Epoch  4, Batch    749, Loss  0.604824, Average Loss  0.610746, Time  0.240641
2021-09-15 04:30:34.771932 : Epoch  6, Batch     90, Loss  0.607737, Average Loss  0.604513, Time  0.231315
2021-09-15 04:30:36.225298 : Epoch  4, Batch    750, Loss  0.624202, Average Loss  0.610802, Time  0.240471
2021-09-15 04:30:36.317951 : Epoch  6, Batch     91, Loss  0.615870, Average Loss  0.604532, Time  0.231271
2021-09-15 04:30:37.329470 : Epoch  1, Batch   1470, Loss  0.857171, Average Loss  0.876158, Time  0.265005
2021-09-15 04:30:37.795398 : Epoch  4, Batch    751, Loss  0.617999, Average Loss  0.610830, Time  0.239740
2021-09-15 04:30:37.866486 : Epoch  6, Batch     92, Loss  0.607175, Average Loss  0.604553, Time  0.230963
2021-09-15 04:30:39.336852 : Epoch  4, Batch    752, Loss  0.609682, Average Loss  0.610822, Time  0.241750
2021-09-15 04:30:39.407530 : Epoch  6, Batch     93, Loss  0.609682, Average Loss  0.604613, Time  0.230728
2021-09-15 04:30:40.326320 : Epoch  1, Batch   1471, Loss  0.866713, Average Loss  0.876036, Time  0.265231
2021-09-15 04:30:40.863398 : Epoch  4, Batch    753, Loss  0.609016, Average Loss  0.610829, Time  0.236398
2021-09-15 04:30:40.962305 : Epoch  6, Batch     94, Loss  0.612684, Average Loss  0.604633, Time  0.231300
2021-09-15 04:30:42.391226 : Epoch  4, Batch    754, Loss  0.613239, Average Loss  0.610854, Time  0.236061
2021-09-15 04:30:42.502868 : Epoch  6, Batch     95, Loss  0.594515, Average Loss  0.604576, Time  0.231338
2021-09-15 04:30:43.336668 : Epoch  1, Batch   1472, Loss  0.876333, Average Loss  0.876048, Time  0.265176
2021-09-15 04:30:43.934610 : Epoch  4, Batch    755, Loss  0.610679, Average Loss  0.610850, Time  0.237161
2021-09-15 04:30:44.060023 : Epoch  6, Batch     96, Loss  0.614032, Average Loss  0.604625, Time  0.232171
2021-09-15 04:30:45.479835 : Epoch  4, Batch    756, Loss  0.613951, Average Loss  0.610890, Time  0.240307
2021-09-15 04:30:45.608092 : Epoch  6, Batch     97, Loss  0.603768, Average Loss  0.604613, Time  0.231718
2021-09-15 04:30:46.342351 : Epoch  1, Batch   1473, Loss  0.887087, Average Loss  0.876141, Time  0.265362
2021-09-15 04:30:47.010347 : Epoch  4, Batch    757, Loss  0.613834, Average Loss  0.610886, Time  0.238422
2021-09-15 04:30:47.139348 : Epoch  6, Batch     98, Loss  0.597661, Average Loss  0.604547, Time  0.231273
2021-09-15 04:30:48.560837 : Epoch  4, Batch    758, Loss  0.616809, Average Loss  0.610943, Time  0.239140
2021-09-15 04:30:48.684251 : Epoch  6, Batch     99, Loss  0.610521, Average Loss  0.604595, Time  0.231459
2021-09-15 04:30:49.370362 : Epoch  1, Batch   1474, Loss  0.869674, Average Loss  0.876170, Time  0.265985
2021-09-15 04:30:50.090235 : Epoch  4, Batch    759, Loss  0.612535, Average Loss  0.610942, Time  0.239634
2021-09-15 04:30:50.224891 : Epoch  6, Batch    100, Loss  0.600084, Average Loss  0.604602, Time  0.231351
2021-09-15 04:30:51.770845 : Epoch  4, Batch    760, Loss  0.611854, Average Loss  0.610910, Time  0.256489
2021-09-15 04:30:51.799298 : Epoch  6, Batch    101, Loss  0.604428, Average Loss  0.604572, Time  0.232419
2021-09-15 04:30:52.370838 : Epoch  1, Batch   1475, Loss  0.882728, Average Loss  0.876158, Time  0.264833
2021-09-15 04:30:53.344819 : Epoch  6, Batch    102, Loss  0.590792, Average Loss  0.604485, Time  0.231213
2021-09-15 04:30:53.496110 : Epoch  4, Batch    761, Loss  0.614467, Average Loss  0.610951, Time  0.258665
2021-09-15 04:30:54.894180 : Epoch  6, Batch    103, Loss  0.607264, Average Loss  0.604498, Time  0.232132
2021-09-15 04:30:55.188068 : Epoch  4, Batch    762, Loss  0.609032, Average Loss  0.610945, Time  0.258922
2021-09-15 04:30:55.365804 : Epoch  1, Batch   1476, Loss  0.844829, Average Loss  0.876025, Time  0.266378
2021-09-15 04:30:56.443819 : Epoch  6, Batch    104, Loss  0.605156, Average Loss  0.604531, Time  0.235167
2021-09-15 04:30:56.717793 : Epoch  4, Batch    763, Loss  0.609465, Average Loss  0.610918, Time  0.242106
2021-09-15 04:30:57.983560 : Epoch  6, Batch    105, Loss  0.604286, Average Loss  0.604522, Time  0.232304
2021-09-15 04:30:58.255815 : Epoch  4, Batch    764, Loss  0.625087, Average Loss  0.610940, Time  0.238923
2021-09-15 04:30:58.378725 : Epoch  1, Batch   1477, Loss  0.856811, Average Loss  0.875880, Time  0.265231
2021-09-15 04:30:59.523782 : Epoch  6, Batch    106, Loss  0.604859, Average Loss  0.604529, Time  0.231148
2021-09-15 04:30:59.791992 : Epoch  4, Batch    765, Loss  0.622816, Average Loss  0.610967, Time  0.248863
2021-09-15 04:31:01.114562 : Epoch  6, Batch    107, Loss  0.603904, Average Loss  0.604555, Time  0.231057
2021-09-15 04:31:01.319803 : Epoch  4, Batch    766, Loss  0.596230, Average Loss  0.610855, Time  0.240894
2021-09-15 04:31:01.365430 : Epoch  1, Batch   1478, Loss  0.888934, Average Loss  0.875926, Time  0.265631
2021-09-15 04:31:02.668085 : Epoch  6, Batch    108, Loss  0.602631, Average Loss  0.604554, Time  0.231013
2021-09-15 04:31:02.841862 : Epoch  4, Batch    767, Loss  0.608457, Average Loss  0.610780, Time  0.237913
2021-09-15 04:31:04.215363 : Epoch  6, Batch    109, Loss  0.600322, Average Loss  0.604529, Time  0.231034
2021-09-15 04:31:04.396195 : Epoch  4, Batch    768, Loss  0.616167, Average Loss  0.610806, Time  0.239918
2021-09-15 04:31:04.402372 : Epoch  1, Batch   1479, Loss  0.872872, Average Loss  0.875831, Time  0.265526
2021-09-15 04:31:05.754129 : Epoch  6, Batch    110, Loss  0.602398, Average Loss  0.604517, Time  0.231713
2021-09-15 04:31:05.923967 : Epoch  4, Batch    769, Loss  0.599702, Average Loss  0.610747, Time  0.241678
2021-09-15 04:31:07.292064 : Epoch  6, Batch    111, Loss  0.592367, Average Loss  0.604487, Time  0.231256
2021-09-15 04:31:07.417374 : Epoch  1, Batch   1480, Loss  0.867346, Average Loss  0.875703, Time  0.265280
2021-09-15 04:31:07.457024 : Epoch  4, Batch    770, Loss  0.610401, Average Loss  0.610785, Time  0.241641
2021-09-15 04:31:08.833238 : Epoch  6, Batch    112, Loss  0.612945, Average Loss  0.604543, Time  0.231044
2021-09-15 04:31:08.989901 : Epoch  4, Batch    771, Loss  0.608477, Average Loss  0.610806, Time  0.240806
2021-09-15 04:31:10.378669 : Epoch  6, Batch    113, Loss  0.600721, Average Loss  0.604526, Time  0.231912
2021-09-15 04:31:10.408812 : Epoch  1, Batch   1481, Loss  0.870416, Average Loss  0.875670, Time  0.265455
2021-09-15 04:31:10.511017 : Epoch  4, Batch    772, Loss  0.609266, Average Loss  0.610771, Time  0.236488
2021-09-15 04:31:11.934862 : Epoch  6, Batch    114, Loss  0.607115, Average Loss  0.604556, Time  0.231425
2021-09-15 04:31:12.025296 : Epoch  4, Batch    773, Loss  0.602394, Average Loss  0.610699, Time  0.237226
2021-09-15 04:31:13.436055 : Epoch  1, Batch   1482, Loss  0.858959, Average Loss  0.875625, Time  0.264925
2021-09-15 04:31:13.484390 : Epoch  6, Batch    115, Loss  0.608320, Average Loss  0.604572, Time  0.232522
2021-09-15 04:31:13.584564 : Epoch  4, Batch    774, Loss  0.608016, Average Loss  0.610679, Time  0.240389
2021-09-15 04:31:15.038940 : Epoch  6, Batch    116, Loss  0.598984, Average Loss  0.604544, Time  0.231657
2021-09-15 04:31:15.282889 : Epoch  4, Batch    775, Loss  0.600912, Average Loss  0.610655, Time  0.260158
2021-09-15 04:31:16.436773 : Epoch  1, Batch   1483, Loss  0.858554, Average Loss  0.875518, Time  0.265378
2021-09-15 04:31:16.572095 : Epoch  6, Batch    117, Loss  0.604826, Average Loss  0.604568, Time  0.231667
2021-09-15 04:31:16.997486 : Epoch  4, Batch    776, Loss  0.619237, Average Loss  0.610651, Time  0.260636
2021-09-15 04:31:18.110565 : Epoch  6, Batch    118, Loss  0.613572, Average Loss  0.604524, Time  0.233224
2021-09-15 04:31:18.534403 : Epoch  4, Batch    777, Loss  0.616150, Average Loss  0.610709, Time  0.238007
2021-09-15 04:31:19.440052 : Epoch  1, Batch   1484, Loss  0.884400, Average Loss  0.875457, Time  0.273404
2021-09-15 04:31:19.640556 : Epoch  6, Batch    119, Loss  0.599895, Average Loss  0.604505, Time  0.231441
2021-09-15 04:31:20.060211 : Epoch  4, Batch    778, Loss  0.598812, Average Loss  0.610594, Time  0.238871
2021-09-15 04:31:21.184422 : Epoch  6, Batch    120, Loss  0.593927, Average Loss  0.604421, Time  0.231799
2021-09-15 04:31:21.585338 : Epoch  4, Batch    779, Loss  0.609221, Average Loss  0.610586, Time  0.241577
2021-09-15 04:31:22.431554 : Epoch  1, Batch   1485, Loss  0.859235, Average Loss  0.875496, Time  0.264369
2021-09-15 04:31:22.728067 : Epoch  6, Batch    121, Loss  0.595325, Average Loss  0.604398, Time  0.231985
2021-09-15 04:31:23.140054 : Epoch  4, Batch    780, Loss  0.615011, Average Loss  0.610597, Time  0.243842
2021-09-15 04:31:24.265970 : Epoch  6, Batch    122, Loss  0.602535, Average Loss  0.604385, Time  0.231004
2021-09-15 04:31:24.671618 : Epoch  4, Batch    781, Loss  0.603659, Average Loss  0.610587, Time  0.238641
2021-09-15 04:31:25.412411 : Epoch  1, Batch   1486, Loss  0.868651, Average Loss  0.875437, Time  0.264814
2021-09-15 04:31:25.810036 : Epoch  6, Batch    123, Loss  0.604118, Average Loss  0.604362, Time  0.231052
2021-09-15 04:31:26.212140 : Epoch  4, Batch    782, Loss  0.622386, Average Loss  0.610633, Time  0.240652
2021-09-15 04:31:27.338608 : Epoch  6, Batch    124, Loss  0.596352, Average Loss  0.604282, Time  0.231552
2021-09-15 04:31:27.734979 : Epoch  4, Batch    783, Loss  0.602337, Average Loss  0.610583, Time  0.240708
2021-09-15 04:31:28.411534 : Epoch  1, Batch   1487, Loss  0.885250, Average Loss  0.875522, Time  0.264870
2021-09-15 04:31:28.881661 : Epoch  6, Batch    125, Loss  0.613175, Average Loss  0.604308, Time  0.230949
2021-09-15 04:31:29.262242 : Epoch  4, Batch    784, Loss  0.600879, Average Loss  0.610563, Time  0.243678
2021-09-15 04:31:30.414197 : Epoch  6, Batch    126, Loss  0.602866, Average Loss  0.604303, Time  0.231530
2021-09-15 04:31:30.801211 : Epoch  4, Batch    785, Loss  0.608210, Average Loss  0.610589, Time  0.241048
2021-09-15 04:31:31.429192 : Epoch  1, Batch   1488, Loss  0.872800, Average Loss  0.875485, Time  0.264786
2021-09-15 04:31:31.961631 : Epoch  6, Batch    127, Loss  0.608042, Average Loss  0.604348, Time  0.231513
2021-09-15 04:31:32.324885 : Epoch  4, Batch    786, Loss  0.600322, Average Loss  0.610498, Time  0.238605
2021-09-15 04:31:33.501343 : Epoch  6, Batch    128, Loss  0.608183, Average Loss  0.604382, Time  0.232720
2021-09-15 04:31:33.854231 : Epoch  4, Batch    787, Loss  0.590783, Average Loss  0.610385, Time  0.238043
2021-09-15 04:31:33.887612 : Saving Model after 4-th Epoch.
2021-09-15 04:31:34.437126 : Epoch  1, Batch   1489, Loss  0.865223, Average Loss  0.875375, Time  0.264879
2021-09-15 04:31:34.945656 : Epoch Finished.
2021-09-15 04:31:35.049365 : Epoch  6, Batch    129, Loss  0.596644, Average Loss  0.604344, Time  0.231437
2021-09-15 04:31:36.599163 : Epoch  6, Batch    130, Loss  0.604150, Average Loss  0.604346, Time  0.231511
2021-09-15 04:31:37.473304 : Epoch  1, Batch   1490, Loss  0.888372, Average Loss  0.875339, Time  0.264223
2021-09-15 04:31:37.582071 : Batch Shuffled
2021-09-15 04:31:38.147425 : Epoch  6, Batch    131, Loss  0.612891, Average Loss  0.604369, Time  0.231197
2021-09-15 04:31:39.139822 : Epoch  5, Batch      1, Loss  0.624462, Average Loss  0.610480, Time  0.275859
2021-09-15 04:31:39.694887 : Epoch  6, Batch    132, Loss  0.611577, Average Loss  0.604401, Time  0.231179
2021-09-15 04:31:40.472056 : Epoch  1, Batch   1491, Loss  0.888127, Average Loss  0.875360, Time  0.265592
2021-09-15 04:31:40.669358 : Epoch  5, Batch      2, Loss  0.607165, Average Loss  0.610420, Time  0.253109
2021-09-15 04:31:41.251007 : Epoch  6, Batch    133, Loss  0.598009, Average Loss  0.604368, Time  0.231038
2021-09-15 04:31:42.183916 : Epoch  5, Batch      3, Loss  0.615593, Average Loss  0.610526, Time  0.245781
2021-09-15 04:31:42.789125 : Epoch  6, Batch    134, Loss  0.610994, Average Loss  0.604377, Time  0.231147
2021-09-15 04:31:43.475785 : Epoch  1, Batch   1492, Loss  0.872951, Average Loss  0.875225, Time  0.265296
2021-09-15 04:31:43.762445 : Epoch  5, Batch      4, Loss  0.618480, Average Loss  0.610564, Time  0.266921
2021-09-15 04:31:44.337418 : Epoch  6, Batch    135, Loss  0.603452, Average Loss  0.604393, Time  0.232372
2021-09-15 04:31:45.310550 : Epoch  5, Batch      5, Loss  0.605743, Average Loss  0.610610, Time  0.241216
2021-09-15 04:31:46.460132 : Epoch  1, Batch   1493, Loss  0.852704, Average Loss  0.875128, Time  0.265391
2021-09-15 04:31:46.832129 : Epoch  5, Batch      6, Loss  0.601949, Average Loss  0.610498, Time  0.239318
2021-09-15 04:31:48.250895 : Epoch  6, Batch    136, Loss  0.595582, Average Loss  0.604313, Time  0.271930
2021-09-15 04:31:48.347344 : Epoch  5, Batch      7, Loss  0.600223, Average Loss  0.610492, Time  0.238875
2021-09-15 04:31:49.451831 : Epoch  1, Batch   1494, Loss  0.858132, Average Loss  0.875029, Time  0.264758
2021-09-15 04:31:49.805297 : Epoch  6, Batch    137, Loss  0.609201, Average Loss  0.604377, Time  0.249265
2021-09-15 04:31:49.870393 : Epoch  5, Batch      8, Loss  0.602453, Average Loss  0.610411, Time  0.239906
2021-09-15 04:31:51.354158 : Epoch  6, Batch    138, Loss  0.608689, Average Loss  0.604367, Time  0.234888
2021-09-15 04:31:51.414912 : Epoch  5, Batch      9, Loss  0.610841, Average Loss  0.610430, Time  0.241209
2021-09-15 04:31:52.477304 : Epoch  1, Batch   1495, Loss  0.890412, Average Loss  0.874988, Time  0.265975
2021-09-15 04:31:52.894277 : Epoch  6, Batch    139, Loss  0.601846, Average Loss  0.604286, Time  0.231191
2021-09-15 04:31:52.943381 : Epoch  5, Batch     10, Loss  0.599054, Average Loss  0.610421, Time  0.238923
2021-09-15 04:31:54.419125 : Epoch  6, Batch    140, Loss  0.600611, Average Loss  0.604266, Time  0.231416
2021-09-15 04:31:54.469552 : Epoch  5, Batch     11, Loss  0.613743, Average Loss  0.610390, Time  0.239050
2021-09-15 04:31:55.500374 : Epoch  1, Batch   1496, Loss  0.885753, Average Loss  0.875046, Time  0.265824
2021-09-15 04:31:55.974083 : Epoch  6, Batch    141, Loss  0.614756, Average Loss  0.604339, Time  0.232220
2021-09-15 04:31:56.012799 : Epoch  5, Batch     12, Loss  0.620858, Average Loss  0.610456, Time  0.238951
2021-09-15 04:31:57.703976 : Epoch  6, Batch    142, Loss  0.596354, Average Loss  0.604364, Time  0.233688
2021-09-15 04:31:57.741065 : Epoch  5, Batch     13, Loss  0.613288, Average Loss  0.610434, Time  0.240332
2021-09-15 04:31:58.498970 : Epoch  1, Batch   1497, Loss  0.863459, Average Loss  0.874994, Time  0.266726
2021-09-15 04:31:59.243105 : Epoch  6, Batch    143, Loss  0.605529, Average Loss  0.604348, Time  0.232031
2021-09-15 04:31:59.273789 : Epoch  5, Batch     14, Loss  0.602992, Average Loss  0.610448, Time  0.241904
2021-09-15 04:32:00.780196 : Epoch  6, Batch    144, Loss  0.606828, Average Loss  0.604388, Time  0.231832
2021-09-15 04:32:00.815812 : Epoch  5, Batch     15, Loss  0.606579, Average Loss  0.610463, Time  0.241212
2021-09-15 04:32:01.495250 : Epoch  1, Batch   1498, Loss  0.876132, Average Loss  0.874973, Time  0.264956
2021-09-15 04:32:02.316371 : Epoch  6, Batch    145, Loss  0.602169, Average Loss  0.604394, Time  0.232248
2021-09-15 04:32:02.348371 : Epoch  5, Batch     16, Loss  0.624969, Average Loss  0.610474, Time  0.240032
2021-09-15 04:32:03.855873 : Epoch  6, Batch    146, Loss  0.606424, Average Loss  0.604393, Time  0.234208
2021-09-15 04:32:03.886853 : Epoch  5, Batch     17, Loss  0.617201, Average Loss  0.610496, Time  0.238299
2021-09-15 04:32:04.513630 : Epoch  1, Batch   1499, Loss  0.882249, Average Loss  0.875021, Time  0.276490
2021-09-15 04:32:05.402701 : Epoch  6, Batch    147, Loss  0.597824, Average Loss  0.604393, Time  0.234185
2021-09-15 04:32:05.437856 : Epoch  5, Batch     18, Loss  0.602341, Average Loss  0.610471, Time  0.241271
2021-09-15 04:32:06.948610 : Epoch  6, Batch    148, Loss  0.606842, Average Loss  0.604415, Time  0.234658
2021-09-15 04:32:06.983969 : Epoch  5, Batch     19, Loss  0.606721, Average Loss  0.610401, Time  0.241818
2021-09-15 04:32:07.524796 : Epoch  1, Batch   1500, Loss  0.860209, Average Loss  0.874860, Time  0.266296
2021-09-15 04:32:08.477435 : Epoch  6, Batch    149, Loss  0.613913, Average Loss  0.604444, Time  0.231197
2021-09-15 04:32:08.522047 : Epoch  5, Batch     20, Loss  0.612612, Average Loss  0.610410, Time  0.240397
2021-09-15 04:32:10.020380 : Epoch  6, Batch    150, Loss  0.598979, Average Loss  0.604463, Time  0.232155
2021-09-15 04:32:10.061987 : Epoch  5, Batch     21, Loss  0.609232, Average Loss  0.610360, Time  0.239955
2021-09-15 04:32:11.560206 : Epoch  6, Batch    151, Loss  0.608672, Average Loss  0.604479, Time  0.231889
2021-09-15 04:32:11.599865 : Epoch  5, Batch     22, Loss  0.618768, Average Loss  0.610391, Time  0.239977
2021-09-15 04:32:13.104360 : Epoch  6, Batch    152, Loss  0.614048, Average Loss  0.604513, Time  0.232013
2021-09-15 04:32:13.145890 : Epoch  5, Batch     23, Loss  0.609440, Average Loss  0.610341, Time  0.238906
2021-09-15 04:32:14.647021 : Epoch  6, Batch    153, Loss  0.608026, Average Loss  0.604529, Time  0.231554
2021-09-15 04:32:14.691213 : Epoch  5, Batch     24, Loss  0.615063, Average Loss  0.610351, Time  0.237634
2021-09-15 04:32:16.190152 : Epoch  6, Batch    154, Loss  0.598314, Average Loss  0.604536, Time  0.231359
2021-09-15 04:32:16.233796 : Epoch  5, Batch     25, Loss  0.613272, Average Loss  0.610383, Time  0.240608
2021-09-15 04:32:17.728922 : Epoch  6, Batch    155, Loss  0.625707, Average Loss  0.604650, Time  0.231552
2021-09-15 04:32:17.765479 : Epoch  5, Batch     26, Loss  0.615704, Average Loss  0.611183, Time  0.241039
2021-09-15 04:32:19.267276 : Epoch  6, Batch    156, Loss  0.622506, Average Loss  0.604780, Time  0.232003
2021-09-15 04:32:19.334958 : Epoch  5, Batch     27, Loss  0.606139, Average Loss  0.611182, Time  0.238240
2021-09-15 04:32:20.795552 : Epoch  6, Batch    157, Loss  0.620532, Average Loss  0.604875, Time  0.231226
2021-09-15 04:32:20.885884 : Epoch  5, Batch     28, Loss  0.605405, Average Loss  0.611030, Time  0.241913
2021-09-15 04:32:22.332404 : Epoch  6, Batch    158, Loss  0.608073, Average Loss  0.604863, Time  0.231236
2021-09-15 04:32:22.435823 : Epoch  5, Batch     29, Loss  0.619440, Average Loss  0.611017, Time  0.241292
2021-09-15 04:32:23.870833 : Epoch  6, Batch    159, Loss  0.608411, Average Loss  0.604859, Time  0.230743
2021-09-15 04:32:24.017873 : Epoch  5, Batch     30, Loss  0.605180, Average Loss  0.610941, Time  0.240892
2021-09-15 04:32:25.404971 : Epoch  6, Batch    160, Loss  0.598634, Average Loss  0.604829, Time  0.231050
2021-09-15 04:32:25.545287 : Epoch  5, Batch     31, Loss  0.612370, Average Loss  0.610940, Time  0.240435
2021-09-15 04:32:26.962677 : Epoch  6, Batch    161, Loss  0.612502, Average Loss  0.604836, Time  0.231520
2021-09-15 04:32:27.076404 : Epoch  5, Batch     32, Loss  0.607286, Average Loss  0.610965, Time  0.241026
2021-09-15 04:32:28.500939 : Epoch  6, Batch    162, Loss  0.612078, Average Loss  0.604918, Time  0.231006
2021-09-15 04:32:28.624658 : Epoch  5, Batch     33, Loss  0.618466, Average Loss  0.610920, Time  0.244079
2021-09-15 04:32:30.038238 : Epoch  6, Batch    163, Loss  0.605489, Average Loss  0.604902, Time  0.231235
2021-09-15 04:32:30.152840 : Epoch  5, Batch     34, Loss  0.615040, Average Loss  0.610882, Time  0.240144
2021-09-15 04:32:31.579769 : Epoch  6, Batch    164, Loss  0.611587, Average Loss  0.604944, Time  0.231272
2021-09-15 04:32:31.686812 : Epoch  5, Batch     35, Loss  0.607127, Average Loss  0.610804, Time  0.241462
2021-09-15 04:32:33.111602 : Epoch  6, Batch    165, Loss  0.614692, Average Loss  0.604967, Time  0.231091
2021-09-15 04:32:33.224457 : Epoch  5, Batch     36, Loss  0.612247, Average Loss  0.610796, Time  0.241727
2021-09-15 04:32:34.747069 : Epoch  5, Batch     37, Loss  0.610989, Average Loss  0.610809, Time  0.238474
2021-09-15 04:32:36.276986 : Epoch  5, Batch     38, Loss  0.609035, Average Loss  0.610866, Time  0.239892
2021-09-15 04:32:37.814833 : Epoch  5, Batch     39, Loss  0.624962, Average Loss  0.610864, Time  0.239182
2021-09-15 04:32:39.354417 : Epoch  5, Batch     40, Loss  0.613674, Average Loss  0.610837, Time  0.238640
2021-09-15 04:32:40.886736 : Epoch  5, Batch     41, Loss  0.617969, Average Loss  0.610833, Time  0.239927
2021-09-15 04:32:42.414780 : Epoch  5, Batch     42, Loss  0.598515, Average Loss  0.610733, Time  0.240842
2021-09-15 04:32:43.949813 : Epoch  5, Batch     43, Loss  0.609959, Average Loss  0.610699, Time  0.240264
2021-09-15 04:32:45.499101 : Epoch  5, Batch     44, Loss  0.601588, Average Loss  0.610632, Time  0.241181
2021-09-15 04:32:47.023745 : Epoch  5, Batch     45, Loss  0.608032, Average Loss  0.610656, Time  0.241222
2021-09-15 04:32:48.558036 : Epoch  5, Batch     46, Loss  0.615015, Average Loss  0.610677, Time  0.239800
2021-09-15 04:32:50.079838 : Epoch  5, Batch     47, Loss  0.613437, Average Loss  0.610682, Time  0.239646
2021-09-15 04:32:51.623865 : Epoch  5, Batch     48, Loss  0.599895, Average Loss  0.610571, Time  0.241177
2021-09-15 04:32:53.162016 : Epoch  5, Batch     49, Loss  0.615578, Average Loss  0.610574, Time  0.240737
2021-09-15 04:32:54.688849 : Epoch  5, Batch     50, Loss  0.607293, Average Loss  0.610602, Time  0.240819
2021-09-15 04:32:56.217345 : Epoch  5, Batch     51, Loss  0.612967, Average Loss  0.610641, Time  0.240273
2021-09-15 04:32:57.750390 : Epoch  5, Batch     52, Loss  0.616409, Average Loss  0.610694, Time  0.241429
2021-09-15 04:33:30.698717 : CheckPoint: Validation Loss  0.00025981, Best Loss  0.00024571
2021-09-15 04:33:32.241180 : Epoch  6, Batch    166, Loss  0.612977, Average Loss  0.605008, Time  0.232218
2021-09-15 04:33:33.802341 : Epoch  6, Batch    167, Loss  0.604349, Average Loss  0.605009, Time  0.231004
2021-09-15 04:33:35.354316 : Epoch  6, Batch    168, Loss  0.603850, Average Loss  0.604987, Time  0.231197
2021-09-15 04:33:36.899487 : Epoch  6, Batch    169, Loss  0.596334, Average Loss  0.604963, Time  0.231162
2021-09-15 04:33:38.448912 : Epoch  6, Batch    170, Loss  0.610561, Average Loss  0.604995, Time  0.231158
2021-09-15 04:33:40.004084 : Epoch  6, Batch    171, Loss  0.600829, Average Loss  0.604924, Time  0.231581
2021-09-15 04:33:41.551371 : Epoch  6, Batch    172, Loss  0.585854, Average Loss  0.604846, Time  0.230872
2021-09-15 04:33:43.106447 : Epoch  6, Batch    173, Loss  0.613423, Average Loss  0.604866, Time  0.231892
2021-09-15 04:33:44.661046 : Epoch  6, Batch    174, Loss  0.604776, Average Loss  0.604950, Time  0.232746
2021-09-15 04:33:46.201110 : Epoch  6, Batch    175, Loss  0.595621, Average Loss  0.604843, Time  0.231229
2021-09-15 04:33:47.747856 : Epoch  6, Batch    176, Loss  0.600940, Average Loss  0.604888, Time  0.231116
2021-09-15 04:33:49.287632 : Epoch  6, Batch    177, Loss  0.605217, Average Loss  0.604974, Time  0.231340
2021-09-15 04:33:50.835259 : Epoch  6, Batch    178, Loss  0.607369, Average Loss  0.604976, Time  0.231302
2021-09-15 04:33:52.372173 : Epoch  6, Batch    179, Loss  0.602952, Average Loss  0.604974, Time  0.230754
2021-09-15 04:33:53.922098 : Epoch  6, Batch    180, Loss  0.603037, Average Loss  0.604914, Time  0.232209
2021-09-15 04:33:54.657700 : CheckPoint: Validation Loss  0.00026894, Best Loss  0.00024972
2021-09-15 04:33:55.471057 : Epoch  6, Batch    181, Loss  0.604646, Average Loss  0.604922, Time  0.231472
2021-09-15 04:33:56.189077 : Epoch  5, Batch     53, Loss  0.600739, Average Loss  0.610663, Time  0.240610
2021-09-15 04:33:57.014657 : Epoch  6, Batch    182, Loss  0.606610, Average Loss  0.604979, Time  0.231518
2021-09-15 04:33:57.708739 : Epoch  5, Batch     54, Loss  0.615628, Average Loss  0.610736, Time  0.237088
2021-09-15 04:33:58.549329 : Epoch  6, Batch    183, Loss  0.609728, Average Loss  0.605035, Time  0.230848
2021-09-15 04:33:59.233786 : Epoch  5, Batch     55, Loss  0.617301, Average Loss  0.610749, Time  0.237560
2021-09-15 04:34:00.094675 : Epoch  6, Batch    184, Loss  0.610730, Average Loss  0.605119, Time  0.231488
2021-09-15 04:34:00.772498 : Epoch  5, Batch     56, Loss  0.620278, Average Loss  0.610847, Time  0.239864
2021-09-15 04:34:01.641405 : Epoch  6, Batch    185, Loss  0.597701, Average Loss  0.605010, Time  0.231600
2021-09-15 04:34:02.310824 : Epoch  5, Batch     57, Loss  0.626670, Average Loss  0.610912, Time  0.241505
2021-09-15 04:34:03.183308 : Epoch  6, Batch    186, Loss  0.585839, Average Loss  0.604945, Time  0.230664
2021-09-15 04:34:03.837248 : Epoch  5, Batch     58, Loss  0.609773, Average Loss  0.610906, Time  0.238171
2021-09-15 04:34:04.716844 : Epoch  6, Batch    187, Loss  0.605515, Average Loss  0.604991, Time  0.231373
2021-09-15 04:34:05.360835 : Epoch  5, Batch     59, Loss  0.612238, Average Loss  0.610937, Time  0.238914
2021-09-15 04:34:06.256971 : Epoch  6, Batch    188, Loss  0.606894, Average Loss  0.605038, Time  0.231376
2021-09-15 04:34:06.899057 : Epoch  5, Batch     60, Loss  0.603741, Average Loss  0.610846, Time  0.240686
2021-09-15 04:34:07.792816 : Epoch  6, Batch    189, Loss  0.609398, Average Loss  0.604962, Time  0.231045
2021-09-15 04:34:08.435791 : Epoch  5, Batch     61, Loss  0.619544, Average Loss  0.610854, Time  0.238664
2021-09-15 04:34:09.336310 : Epoch  6, Batch    190, Loss  0.615029, Average Loss  0.605078, Time  0.231727
2021-09-15 04:34:10.124376 : Epoch  5, Batch     62, Loss  0.618108, Average Loss  0.610875, Time  0.258547
2021-09-15 04:34:10.873659 : Epoch  6, Batch    191, Loss  0.605657, Average Loss  0.605002, Time  0.231306
2021-09-15 04:34:11.795455 : Epoch  5, Batch     63, Loss  0.624484, Average Loss  0.610978, Time  0.242029
2021-09-15 04:34:12.421834 : Epoch  6, Batch    192, Loss  0.601948, Average Loss  0.604957, Time  0.231793
2021-09-15 04:34:13.320378 : Epoch  5, Batch     64, Loss  0.621047, Average Loss  0.611060, Time  0.238446
2021-09-15 04:34:13.969372 : Epoch  6, Batch    193, Loss  0.593472, Average Loss  0.604956, Time  0.232528
2021-09-15 04:34:14.843852 : Epoch  5, Batch     65, Loss  0.610460, Average Loss  0.611053, Time  0.238449
2021-09-15 04:34:15.507645 : Epoch  6, Batch    194, Loss  0.613034, Average Loss  0.605007, Time  0.231084
2021-09-15 04:34:16.377092 : Epoch  5, Batch     66, Loss  0.614979, Average Loss  0.611058, Time  0.239374
2021-09-15 04:34:17.056369 : Epoch  6, Batch    195, Loss  0.602929, Average Loss  0.605004, Time  0.231200
2021-09-15 04:34:17.908071 : Epoch  5, Batch     67, Loss  0.599740, Average Loss  0.610955, Time  0.239566
2021-09-15 04:34:18.601640 : Epoch  6, Batch    196, Loss  0.604451, Average Loss  0.605005, Time  0.231393
2021-09-15 04:34:19.422094 : Epoch  5, Batch     68, Loss  0.605658, Average Loss  0.610872, Time  0.237637
2021-09-15 04:34:20.146460 : Epoch  6, Batch    197, Loss  0.614044, Average Loss  0.605048, Time  0.231283
2021-09-15 04:34:20.957838 : Epoch  5, Batch     69, Loss  0.601700, Average Loss  0.610796, Time  0.238753
2021-09-15 04:34:21.688155 : Epoch  6, Batch    198, Loss  0.608400, Average Loss  0.605057, Time  0.231657
2021-09-15 04:34:22.493716 : Epoch  5, Batch     70, Loss  0.617396, Average Loss  0.610835, Time  0.239700
2021-09-15 04:34:23.228042 : Epoch  6, Batch    199, Loss  0.610934, Average Loss  0.605044, Time  0.231635
2021-09-15 04:34:24.038963 : Epoch  5, Batch     71, Loss  0.607670, Average Loss  0.610836, Time  0.240364
2021-09-15 04:34:24.765831 : Epoch  6, Batch    200, Loss  0.604296, Average Loss  0.605063, Time  0.231366
2021-09-15 04:34:25.589819 : Epoch  5, Batch     72, Loss  0.600851, Average Loss  0.610765, Time  0.241384
2021-09-15 04:34:26.315851 : Epoch  6, Batch    201, Loss  0.604301, Average Loss  0.605058, Time  0.231416
2021-09-15 04:34:27.121940 : Epoch  5, Batch     73, Loss  0.605889, Average Loss  0.610719, Time  0.239412
2021-09-15 04:34:27.863739 : Epoch  6, Batch    202, Loss  0.593772, Average Loss  0.605001, Time  0.231378
2021-09-15 04:34:28.646763 : Epoch  5, Batch     74, Loss  0.623199, Average Loss  0.610772, Time  0.238906
2021-09-15 04:34:29.414305 : Epoch  6, Batch    203, Loss  0.614747, Average Loss  0.605063, Time  0.231651
2021-09-15 04:34:30.173945 : Epoch  5, Batch     75, Loss  0.603464, Average Loss  0.610720, Time  0.240335
2021-09-15 04:34:30.968952 : Epoch  6, Batch    204, Loss  0.596923, Average Loss  0.604961, Time  0.231230
2021-09-15 04:34:31.713401 : Epoch  5, Batch     76, Loss  0.601391, Average Loss  0.610712, Time  0.241834
2021-09-15 04:34:32.516399 : Epoch  6, Batch    205, Loss  0.607344, Average Loss  0.604920, Time  0.232003
2021-09-15 04:34:33.241380 : Epoch  5, Batch     77, Loss  0.614045, Average Loss  0.610654, Time  0.240838
2021-09-15 04:34:34.058675 : Epoch  6, Batch    206, Loss  0.600573, Average Loss  0.604874, Time  0.231244
2021-09-15 04:34:34.764932 : Epoch  5, Batch     78, Loss  0.619953, Average Loss  0.610659, Time  0.239418
2021-09-15 04:34:35.606380 : Epoch  6, Batch    207, Loss  0.611892, Average Loss  0.604945, Time  0.231614
2021-09-15 04:34:36.290337 : Epoch  5, Batch     79, Loss  0.607660, Average Loss  0.610675, Time  0.241352
2021-09-15 04:34:37.150373 : Epoch  6, Batch    208, Loss  0.602749, Average Loss  0.604886, Time  0.231395
2021-09-15 04:34:37.819928 : Epoch  5, Batch     80, Loss  0.613855, Average Loss  0.610688, Time  0.240927
2021-09-15 04:34:38.701632 : Epoch  6, Batch    209, Loss  0.603903, Average Loss  0.604927, Time  0.230919
2021-09-15 04:34:39.363867 : Epoch  5, Batch     81, Loss  0.610531, Average Loss  0.610659, Time  0.241136
2021-09-15 04:34:40.245007 : Epoch  6, Batch    210, Loss  0.602560, Average Loss  0.604931, Time  0.231855
2021-09-15 04:34:40.891945 : Epoch  5, Batch     82, Loss  0.604548, Average Loss  0.610609, Time  0.240551
2021-09-15 04:34:41.791356 : Epoch  6, Batch    211, Loss  0.606622, Average Loss  0.604964, Time  0.230983
2021-09-15 04:34:42.422065 : Epoch  5, Batch     83, Loss  0.618515, Average Loss  0.610647, Time  0.241243
2021-09-15 04:34:43.331404 : Epoch  6, Batch    212, Loss  0.606494, Average Loss  0.604936, Time  0.231450
2021-09-15 04:34:43.942936 : Epoch  5, Batch     84, Loss  0.612143, Average Loss  0.610671, Time  0.240313
2021-09-15 04:34:44.872899 : Epoch  6, Batch    213, Loss  0.604074, Average Loss  0.604892, Time  0.232175
2021-09-15 04:34:45.467351 : Epoch  5, Batch     85, Loss  0.611846, Average Loss  0.610675, Time  0.240945
2021-09-15 04:34:46.419474 : Epoch  6, Batch    214, Loss  0.609623, Average Loss  0.604949, Time  0.231029
2021-09-15 04:34:46.991923 : Epoch  5, Batch     86, Loss  0.599780, Average Loss  0.610631, Time  0.240801
2021-09-15 04:34:47.956872 : Epoch  6, Batch    215, Loss  0.601830, Average Loss  0.604957, Time  0.231414
2021-09-15 04:34:48.534808 : Epoch  5, Batch     87, Loss  0.618079, Average Loss  0.610704, Time  0.241178
2021-09-15 04:34:49.487005 : Epoch  6, Batch    216, Loss  0.605469, Average Loss  0.604948, Time  0.231093
2021-09-15 04:34:50.076398 : Epoch  5, Batch     88, Loss  0.612421, Average Loss  0.610684, Time  0.240145
2021-09-15 04:34:51.029353 : Epoch  6, Batch    217, Loss  0.591052, Average Loss  0.604908, Time  0.231027
2021-09-15 04:34:51.617865 : Epoch  5, Batch     89, Loss  0.597036, Average Loss  0.610624, Time  0.242647
2021-09-15 04:34:52.570350 : Epoch  6, Batch    218, Loss  0.611693, Average Loss  0.604952, Time  0.231119
2021-09-15 04:34:53.158034 : Epoch  5, Batch     90, Loss  0.623008, Average Loss  0.610669, Time  0.238135
2021-09-15 04:34:54.107274 : Epoch  6, Batch    219, Loss  0.596343, Average Loss  0.604993, Time  0.231242
2021-09-15 04:34:54.682328 : Epoch  5, Batch     91, Loss  0.618017, Average Loss  0.610774, Time  0.236684
2021-09-15 04:34:55.655934 : Epoch  6, Batch    220, Loss  0.604448, Average Loss  0.604984, Time  0.231293
2021-09-15 04:34:56.233049 : Epoch  5, Batch     92, Loss  0.614932, Average Loss  0.610807, Time  0.242795
2021-09-15 04:34:57.213999 : Epoch  6, Batch    221, Loss  0.593486, Average Loss  0.604974, Time  0.231266
2021-09-15 04:34:57.780853 : Epoch  5, Batch     93, Loss  0.613510, Average Loss  0.610856, Time  0.242572
2021-09-15 04:34:58.756221 : Epoch  6, Batch    222, Loss  0.612433, Average Loss  0.605021, Time  0.232686
2021-09-15 04:34:59.315044 : Epoch  5, Batch     94, Loss  0.600176, Average Loss  0.610737, Time  0.241341
2021-09-15 04:35:00.292838 : Epoch  6, Batch    223, Loss  0.607504, Average Loss  0.605013, Time  0.230933
2021-09-15 04:35:00.852358 : Epoch  5, Batch     95, Loss  0.606376, Average Loss  0.610783, Time  0.240827
2021-09-15 04:35:01.835145 : Epoch  6, Batch    224, Loss  0.601819, Average Loss  0.604996, Time  0.232817
2021-09-15 04:35:02.380396 : Epoch  5, Batch     96, Loss  0.613407, Average Loss  0.610815, Time  0.238864
2021-09-15 04:35:03.370355 : Epoch  6, Batch    225, Loss  0.609327, Average Loss  0.604987, Time  0.230810
2021-09-15 04:35:03.919904 : Epoch  5, Batch     97, Loss  0.605597, Average Loss  0.610777, Time  0.241377
2021-09-15 04:35:04.919704 : Epoch  6, Batch    226, Loss  0.615786, Average Loss  0.605031, Time  0.231189
2021-09-15 04:35:05.468395 : Epoch  5, Batch     98, Loss  0.600497, Average Loss  0.610751, Time  0.240390
2021-09-15 04:35:06.455034 : Epoch  6, Batch    227, Loss  0.595843, Average Loss  0.605051, Time  0.231075
2021-09-15 04:35:07.005086 : Epoch  5, Batch     99, Loss  0.602666, Average Loss  0.610708, Time  0.239589
2021-09-15 04:35:07.996552 : Epoch  6, Batch    228, Loss  0.601230, Average Loss  0.604981, Time  0.230823
2021-09-15 04:35:08.553876 : Epoch  5, Batch    100, Loss  0.614272, Average Loss  0.610706, Time  0.241612
2021-09-15 04:35:09.539670 : Epoch  6, Batch    229, Loss  0.600477, Average Loss  0.604978, Time  0.231245
2021-09-15 04:35:10.096817 : Epoch  5, Batch    101, Loss  0.601010, Average Loss  0.610693, Time  0.240959
2021-09-15 04:35:11.078260 : Epoch  6, Batch    230, Loss  0.596300, Average Loss  0.604887, Time  0.230962
2021-09-15 04:35:11.640108 : Epoch  5, Batch    102, Loss  0.611667, Average Loss  0.610696, Time  0.242756
2021-09-15 04:35:12.613625 : Epoch  6, Batch    231, Loss  0.599036, Average Loss  0.604845, Time  0.231147
2021-09-15 04:35:13.184160 : Epoch  5, Batch    103, Loss  0.595348, Average Loss  0.610599, Time  0.239966
2021-09-15 04:35:14.160024 : Epoch  6, Batch    232, Loss  0.613834, Average Loss  0.604979, Time  0.231342
2021-09-15 04:35:14.862995 : Epoch  5, Batch    104, Loss  0.617255, Average Loss  0.610622, Time  0.259447
2021-09-15 04:35:15.695250 : Epoch  6, Batch    233, Loss  0.598884, Average Loss  0.604996, Time  0.231275
2021-09-15 04:35:16.541489 : Epoch  5, Batch    105, Loss  0.612167, Average Loss  0.610646, Time  0.260176
2021-09-15 04:35:17.242702 : Epoch  6, Batch    234, Loss  0.594573, Average Loss  0.604908, Time  0.232213
2021-09-15 04:35:18.081971 : Epoch  5, Batch    106, Loss  0.597754, Average Loss  0.610534, Time  0.239039
2021-09-15 04:35:18.795423 : Epoch  6, Batch    235, Loss  0.613246, Average Loss  0.604973, Time  0.232129
2021-09-15 04:35:19.620479 : Epoch  5, Batch    107, Loss  0.613260, Average Loss  0.610581, Time  0.238765
2021-09-15 04:35:21.143376 : Epoch  5, Batch    108, Loss  0.608423, Average Loss  0.610629, Time  0.237426
2021-09-15 04:35:22.664351 : Epoch  5, Batch    109, Loss  0.615849, Average Loss  0.610606, Time  0.240421
2021-09-15 04:35:22.739801 : Epoch  6, Batch    236, Loss  0.604852, Average Loss  0.604931, Time  0.265112
2021-09-15 04:35:24.213835 : Epoch  5, Batch    110, Loss  0.605465, Average Loss  0.610574, Time  0.239917
2021-09-15 04:35:24.279074 : Epoch  6, Batch    237, Loss  0.600979, Average Loss  0.604891, Time  0.234730
2021-09-15 04:35:25.736967 : Epoch  5, Batch    111, Loss  0.610566, Average Loss  0.610592, Time  0.239390
2021-09-15 04:35:25.815267 : Epoch  6, Batch    238, Loss  0.603514, Average Loss  0.604943, Time  0.231293
2021-09-15 04:35:27.257896 : Epoch  5, Batch    112, Loss  0.605777, Average Loss  0.610527, Time  0.239773
2021-09-15 04:35:27.350441 : Epoch  6, Batch    239, Loss  0.604711, Average Loss  0.604986, Time  0.231706
2021-09-15 04:35:28.778167 : Epoch  5, Batch    113, Loss  0.609597, Average Loss  0.610496, Time  0.239880
2021-09-15 04:35:28.887844 : Epoch  6, Batch    240, Loss  0.606097, Average Loss  0.605001, Time  0.231764
2021-09-15 04:35:30.298547 : Epoch  5, Batch    114, Loss  0.609289, Average Loss  0.610466, Time  0.239089
2021-09-15 04:35:30.443755 : Epoch  6, Batch    241, Loss  0.596948, Average Loss  0.605008, Time  0.231301
2021-09-15 04:35:31.828384 : Epoch  5, Batch    115, Loss  0.597893, Average Loss  0.610380, Time  0.238310
2021-09-15 04:35:31.978103 : Epoch  6, Batch    242, Loss  0.602997, Average Loss  0.605015, Time  0.231980
2021-09-15 04:35:33.366392 : Epoch  5, Batch    116, Loss  0.603042, Average Loss  0.610388, Time  0.239801
2021-09-15 04:35:33.506946 : Epoch  6, Batch    243, Loss  0.593163, Average Loss  0.604949, Time  0.232069
2021-09-15 04:35:34.890825 : Epoch  5, Batch    117, Loss  0.608056, Average Loss  0.610330, Time  0.240697
2021-09-15 04:35:35.032508 : Epoch  6, Batch    244, Loss  0.603921, Average Loss  0.604875, Time  0.231997
2021-09-15 04:35:36.413847 : Epoch  5, Batch    118, Loss  0.608077, Average Loss  0.610305, Time  0.238541
2021-09-15 04:35:36.576021 : Epoch  6, Batch    245, Loss  0.606532, Average Loss  0.604829, Time  0.231358
2021-09-15 04:35:37.941875 : Epoch  5, Batch    119, Loss  0.617735, Average Loss  0.610315, Time  0.241761
2021-09-15 04:35:38.128916 : Epoch  6, Batch    246, Loss  0.596962, Average Loss  0.604766, Time  0.233191
2021-09-15 04:35:39.473783 : Epoch  5, Batch    120, Loss  0.610578, Average Loss  0.610284, Time  0.240355
2021-09-15 04:35:39.649559 : Epoch  6, Batch    247, Loss  0.607365, Average Loss  0.604821, Time  0.231302
2021-09-15 04:35:40.998140 : Epoch  5, Batch    121, Loss  0.613801, Average Loss  0.610316, Time  0.240868
2021-09-15 04:35:41.172359 : Epoch  6, Batch    248, Loss  0.600738, Average Loss  0.604792, Time  0.230700
2021-09-15 04:35:42.531433 : Epoch  5, Batch    122, Loss  0.603391, Average Loss  0.610290, Time  0.241625
2021-09-15 04:35:42.708056 : Epoch  6, Batch    249, Loss  0.615550, Average Loss  0.604808, Time  0.231118
2021-09-15 04:35:44.243189 : Epoch  6, Batch    250, Loss  0.594467, Average Loss  0.604668, Time  0.230033
2021-09-15 04:35:45.775810 : Epoch  6, Batch    251, Loss  0.605928, Average Loss  0.604619, Time  0.230991
2021-09-15 04:35:46.564907 : Epoch  5, Batch    123, Loss  0.605151, Average Loss  0.610238, Time  0.271173
2021-09-15 04:35:47.305348 : Epoch  6, Batch    252, Loss  0.610121, Average Loss  0.604607, Time  0.232209
2021-09-15 04:35:48.080449 : Epoch  5, Batch    124, Loss  0.611190, Average Loss  0.610247, Time  0.241995
2021-09-15 04:35:48.839625 : Epoch  6, Batch    253, Loss  0.593905, Average Loss  0.604528, Time  0.233743
2021-09-15 04:35:49.592793 : Epoch  5, Batch    125, Loss  0.603164, Average Loss  0.610236, Time  0.238684
2021-09-15 04:35:50.370167 : Epoch  6, Batch    254, Loss  0.587551, Average Loss  0.604416, Time  0.231215
2021-09-15 04:35:51.112370 : Epoch  5, Batch    126, Loss  0.615270, Average Loss  0.610264, Time  0.238445
2021-09-15 04:35:51.910113 : Epoch  6, Batch    255, Loss  0.594756, Average Loss  0.604357, Time  0.232334
2021-09-15 04:35:52.624226 : Epoch  5, Batch    127, Loss  0.599161, Average Loss  0.610177, Time  0.239479
2021-09-15 04:35:53.441058 : Epoch  6, Batch    256, Loss  0.608671, Average Loss  0.604378, Time  0.231394
2021-09-15 04:35:54.137702 : Epoch  5, Batch    128, Loss  0.611681, Average Loss  0.610164, Time  0.237971
2021-09-15 04:35:54.996324 : Epoch  6, Batch    257, Loss  0.598365, Average Loss  0.604378, Time  0.231297
2021-09-15 04:35:55.659778 : Epoch  5, Batch    129, Loss  0.607905, Average Loss  0.610072, Time  0.240458
2021-09-15 04:35:56.532970 : Epoch  6, Batch    258, Loss  0.608107, Average Loss  0.604408, Time  0.231358
2021-09-15 04:35:57.185761 : Epoch  5, Batch    130, Loss  0.611700, Average Loss  0.610049, Time  0.244296
2021-09-15 04:35:58.067553 : Epoch  6, Batch    259, Loss  0.603743, Average Loss  0.604417, Time  0.231238
2021-09-15 04:35:58.728136 : Epoch  5, Batch    131, Loss  0.612555, Average Loss  0.610094, Time  0.241098
2021-09-15 04:35:59.609419 : Epoch  6, Batch    260, Loss  0.598628, Average Loss  0.604335, Time  0.231101
2021-09-15 04:36:00.251675 : Epoch  5, Batch    132, Loss  0.606641, Average Loss  0.610028, Time  0.238981
2021-09-15 04:36:01.155817 : Epoch  6, Batch    261, Loss  0.585666, Average Loss  0.604159, Time  0.231196
2021-09-15 04:36:01.930397 : Epoch  5, Batch    133, Loss  0.615840, Average Loss  0.610096, Time  0.255946
2021-09-15 04:36:02.698266 : Epoch  6, Batch    262, Loss  0.608314, Average Loss  0.604175, Time  0.231619
2021-09-15 04:36:03.629957 : Epoch  5, Batch    134, Loss  0.620565, Average Loss  0.610171, Time  0.260725
2021-09-15 04:36:04.248155 : Epoch  6, Batch    263, Loss  0.595579, Average Loss  0.604057, Time  0.231968
2021-09-15 04:36:05.163111 : Epoch  5, Batch    135, Loss  0.602896, Average Loss  0.610072, Time  0.240307
2021-09-15 04:36:05.791009 : Epoch  6, Batch    264, Loss  0.612898, Average Loss  0.604148, Time  0.231135
2021-09-15 04:36:06.687992 : Epoch  5, Batch    136, Loss  0.617720, Average Loss  0.610132, Time  0.239880
2021-09-15 04:36:07.356806 : Epoch  6, Batch    265, Loss  0.615479, Average Loss  0.604246, Time  0.231467
2021-09-15 04:36:08.216866 : Epoch  5, Batch    137, Loss  0.610869, Average Loss  0.610131, Time  0.239103
2021-09-15 04:36:09.771391 : Epoch  5, Batch    138, Loss  0.621713, Average Loss  0.610183, Time  0.238485
2021-09-15 04:36:11.317444 : Epoch  5, Batch    139, Loss  0.609570, Average Loss  0.610158, Time  0.239824
2021-09-15 04:36:12.916379 : Epoch  5, Batch    140, Loss  0.614383, Average Loss  0.610201, Time  0.239781
2021-09-15 04:36:14.450979 : Epoch  5, Batch    141, Loss  0.613306, Average Loss  0.610231, Time  0.240853
2021-09-15 04:36:15.984818 : Epoch  5, Batch    142, Loss  0.597779, Average Loss  0.610195, Time  0.240931
2021-09-15 04:36:17.539124 : Epoch  5, Batch    143, Loss  0.613742, Average Loss  0.610243, Time  0.239739
2021-09-15 04:36:19.060849 : Epoch  5, Batch    144, Loss  0.617901, Average Loss  0.610321, Time  0.238858
2021-09-15 04:36:20.741420 : Epoch  5, Batch    145, Loss  0.611269, Average Loss  0.610291, Time  0.256431
2021-09-15 04:36:22.265291 : Epoch  5, Batch    146, Loss  0.620294, Average Loss  0.610369, Time  0.237641
2021-09-15 04:36:23.792790 : Epoch  5, Batch    147, Loss  0.603993, Average Loss  0.610350, Time  0.239021
2021-09-15 04:36:25.314754 : Epoch  5, Batch    148, Loss  0.610902, Average Loss  0.610325, Time  0.238852
2021-09-15 04:36:26.859803 : Epoch  5, Batch    149, Loss  0.610632, Average Loss  0.610354, Time  0.240083
2021-09-15 04:36:28.396049 : Epoch  5, Batch    150, Loss  0.613913, Average Loss  0.610373, Time  0.238763
2021-09-15 04:36:29.934841 : Epoch  5, Batch    151, Loss  0.602604, Average Loss  0.610356, Time  0.238352
2021-09-15 04:36:31.472968 : Epoch  5, Batch    152, Loss  0.610925, Average Loss  0.610320, Time  0.239470
2021-09-15 04:36:47.183117 : CheckPoint: Validation Loss  0.00031266, Best Loss  0.00029921
2021-09-15 04:36:50.186105 : Epoch  1, Batch   1501, Loss  0.885669, Average Loss  0.874812, Time  0.275238
2021-09-15 04:36:53.203700 : Epoch  1, Batch   1502, Loss  0.872481, Average Loss  0.874775, Time  0.265600
2021-09-15 04:36:56.222335 : Epoch  1, Batch   1503, Loss  0.861886, Average Loss  0.874800, Time  0.265608
2021-09-15 04:36:59.249482 : Epoch  1, Batch   1504, Loss  0.876176, Average Loss  0.874727, Time  0.266212
2021-09-15 04:37:02.264091 : Epoch  1, Batch   1505, Loss  0.858341, Average Loss  0.874645, Time  0.265167
2021-09-15 04:37:05.178809 : CheckPoint: Validation Loss  0.00025053, Best Loss  0.00024571
2021-09-15 04:37:05.265801 : Epoch  1, Batch   1506, Loss  0.849034, Average Loss  0.874473, Time  0.264562
2021-09-15 04:37:06.727231 : Epoch  6, Batch    266, Loss  0.596993, Average Loss  0.604239, Time  0.232007
2021-09-15 04:37:08.241705 : Epoch  1, Batch   1507, Loss  0.897671, Average Loss  0.874526, Time  0.265363
2021-09-15 04:37:08.273061 : Epoch  6, Batch    267, Loss  0.607126, Average Loss  0.604316, Time  0.230926
2021-09-15 04:37:09.811981 : Epoch  6, Batch    268, Loss  0.612151, Average Loss  0.604324, Time  0.231262
2021-09-15 04:37:11.254220 : Epoch  1, Batch   1508, Loss  0.870847, Average Loss  0.874451, Time  0.266022
2021-09-15 04:37:11.344888 : Epoch  6, Batch    269, Loss  0.606739, Average Loss  0.604375, Time  0.231227
2021-09-15 04:37:12.876992 : Epoch  6, Batch    270, Loss  0.598544, Average Loss  0.604330, Time  0.230889
2021-09-15 04:37:14.261453 : Epoch  1, Batch   1509, Loss  0.866302, Average Loss  0.874294, Time  0.266677
2021-09-15 04:37:14.424109 : Epoch  6, Batch    271, Loss  0.604611, Average Loss  0.604340, Time  0.230829
2021-09-15 04:37:15.959328 : Epoch  6, Batch    272, Loss  0.609528, Average Loss  0.604340, Time  0.231148
2021-09-15 04:37:17.278082 : Epoch  1, Batch   1510, Loss  0.877161, Average Loss  0.874315, Time  0.265988
2021-09-15 04:37:17.511997 : Epoch  6, Batch    273, Loss  0.609934, Average Loss  0.604442, Time  0.230865
2021-09-15 04:37:19.045969 : Epoch  6, Batch    274, Loss  0.605353, Average Loss  0.604432, Time  0.230964
2021-09-15 04:37:20.284475 : Epoch  1, Batch   1511, Loss  0.882200, Average Loss  0.874385, Time  0.264348
2021-09-15 04:37:20.588391 : Epoch  6, Batch    275, Loss  0.594597, Average Loss  0.604453, Time  0.231744
2021-09-15 04:37:22.124011 : Epoch  6, Batch    276, Loss  0.623678, Average Loss  0.604514, Time  0.232937
2021-09-15 04:37:23.276195 : Epoch  1, Batch   1512, Loss  0.872512, Average Loss  0.874247, Time  0.265478
2021-09-15 04:37:23.663032 : Epoch  6, Batch    277, Loss  0.609419, Average Loss  0.604553, Time  0.231738
2021-09-15 04:37:25.191371 : Epoch  6, Batch    278, Loss  0.605298, Average Loss  0.604568, Time  0.233033
2021-09-15 04:37:26.254127 : Epoch  1, Batch   1513, Loss  0.861470, Average Loss  0.874130, Time  0.264798
2021-09-15 04:37:26.734129 : Epoch  6, Batch    279, Loss  0.613349, Average Loss  0.604669, Time  0.232451
2021-09-15 04:37:28.270883 : Epoch  6, Batch    280, Loss  0.602804, Average Loss  0.604683, Time  0.233228
2021-09-15 04:37:28.468176 : CheckPoint: Validation Loss  0.00024716, Best Loss  0.00024716
2021-09-15 04:37:28.491557 : Best Model Updated
2021-09-15 04:37:29.248695 : Epoch  1, Batch   1514, Loss  0.875067, Average Loss  0.874145, Time  0.264567
2021-09-15 04:37:29.808254 : Epoch  6, Batch    281, Loss  0.609574, Average Loss  0.604720, Time  0.231803
2021-09-15 04:37:31.139114 : Epoch  5, Batch    153, Loss  0.619488, Average Loss  0.610396, Time  0.260115
2021-09-15 04:37:31.353880 : Epoch  6, Batch    282, Loss  0.603084, Average Loss  0.604708, Time  0.231182
2021-09-15 04:37:32.269952 : Epoch  1, Batch   1515, Loss  0.883263, Average Loss  0.874159, Time  0.275987
2021-09-15 04:37:32.694078 : Epoch  5, Batch    154, Loss  0.616887, Average Loss  0.610361, Time  0.240179
2021-09-15 04:37:32.881296 : Epoch  6, Batch    283, Loss  0.589528, Average Loss  0.604709, Time  0.231376
2021-09-15 04:37:34.215797 : Epoch  5, Batch    155, Loss  0.611093, Average Loss  0.610370, Time  0.239547
2021-09-15 04:37:34.406945 : Epoch  6, Batch    284, Loss  0.599647, Average Loss  0.604667, Time  0.231166
2021-09-15 04:37:35.265847 : Epoch  1, Batch   1516, Loss  0.871661, Average Loss  0.874127, Time  0.267052
2021-09-15 04:37:35.742293 : Epoch  5, Batch    156, Loss  0.615921, Average Loss  0.610459, Time  0.237450
2021-09-15 04:37:35.954917 : Epoch  6, Batch    285, Loss  0.606082, Average Loss  0.604658, Time  0.231332
2021-09-15 04:37:37.258343 : Epoch  5, Batch    157, Loss  0.603799, Average Loss  0.610459, Time  0.237964
2021-09-15 04:37:37.487030 : Epoch  6, Batch    286, Loss  0.599580, Average Loss  0.604614, Time  0.231516
2021-09-15 04:37:38.244240 : Epoch  1, Batch   1517, Loss  0.860225, Average Loss  0.874031, Time  0.265559
2021-09-15 04:37:38.798742 : Epoch  5, Batch    158, Loss  0.607745, Average Loss  0.610442, Time  0.239286
2021-09-15 04:37:39.013130 : Epoch  6, Batch    287, Loss  0.590539, Average Loss  0.604542, Time  0.231186
2021-09-15 04:37:40.352843 : Epoch  5, Batch    159, Loss  0.621857, Average Loss  0.610571, Time  0.240135
2021-09-15 04:37:40.547963 : Epoch  6, Batch    288, Loss  0.608214, Average Loss  0.604500, Time  0.233831
2021-09-15 04:37:41.243595 : Epoch  1, Batch   1518, Loss  0.857135, Average Loss  0.873927, Time  0.266598
2021-09-15 04:37:41.881322 : Epoch  5, Batch    160, Loss  0.616881, Average Loss  0.610648, Time  0.240041
2021-09-15 04:37:42.077743 : Epoch  6, Batch    289, Loss  0.612566, Average Loss  0.604553, Time  0.231795
2021-09-15 04:37:43.411948 : Epoch  5, Batch    161, Loss  0.615741, Average Loss  0.610624, Time  0.240908
2021-09-15 04:37:43.602578 : Epoch  6, Batch    290, Loss  0.596651, Average Loss  0.604497, Time  0.231807
2021-09-15 04:37:44.238041 : Epoch  1, Batch   1519, Loss  0.863744, Average Loss  0.873955, Time  0.264755
2021-09-15 04:37:44.953318 : Epoch  5, Batch    162, Loss  0.620697, Average Loss  0.610703, Time  0.240384
2021-09-15 04:37:45.129564 : Epoch  6, Batch    291, Loss  0.608816, Average Loss  0.604462, Time  0.232629
2021-09-15 04:37:46.509879 : Epoch  5, Batch    163, Loss  0.597940, Average Loss  0.610572, Time  0.256811
2021-09-15 04:37:46.655381 : Epoch  6, Batch    292, Loss  0.614010, Average Loss  0.604496, Time  0.231000
2021-09-15 04:37:47.233652 : Epoch  1, Batch   1520, Loss  0.884726, Average Loss  0.873938, Time  0.264936
2021-09-15 04:37:48.040359 : Epoch  5, Batch    164, Loss  0.596325, Average Loss  0.610463, Time  0.240772
2021-09-15 04:37:48.186655 : Epoch  6, Batch    293, Loss  0.604637, Average Loss  0.604471, Time  0.231150
2021-09-15 04:37:49.587331 : Epoch  5, Batch    165, Loss  0.618684, Average Loss  0.610508, Time  0.242715
2021-09-15 04:37:49.713554 : Epoch  6, Batch    294, Loss  0.594096, Average Loss  0.604378, Time  0.231570
2021-09-15 04:37:50.258691 : Epoch  1, Batch   1521, Loss  0.864667, Average Loss  0.873847, Time  0.264889
2021-09-15 04:37:51.249403 : Epoch  6, Batch    295, Loss  0.609589, Average Loss  0.604453, Time  0.231602
2021-09-15 04:37:51.284440 : Epoch  5, Batch    166, Loss  0.616006, Average Loss  0.610543, Time  0.255785
2021-09-15 04:37:52.800862 : Epoch  6, Batch    296, Loss  0.601678, Average Loss  0.604392, Time  0.231266
2021-09-15 04:37:52.839168 : Epoch  5, Batch    167, Loss  0.608497, Average Loss  0.610520, Time  0.239351
2021-09-15 04:37:53.241544 : Epoch  1, Batch   1522, Loss  0.894180, Average Loss  0.873955, Time  0.264351
2021-09-15 04:37:54.350166 : Epoch  6, Batch    297, Loss  0.615498, Average Loss  0.604450, Time  0.231154
2021-09-15 04:37:54.392302 : Epoch  5, Batch    168, Loss  0.619587, Average Loss  0.610564, Time  0.238346
2021-09-15 04:37:55.901908 : Epoch  6, Batch    298, Loss  0.605596, Average Loss  0.604490, Time  0.231479
2021-09-15 04:37:55.938842 : Epoch  5, Batch    169, Loss  0.610799, Average Loss  0.610548, Time  0.239671
2021-09-15 04:37:56.241131 : Epoch  1, Batch   1523, Loss  0.844906, Average Loss  0.873717, Time  0.265310
2021-09-15 04:37:57.452116 : Epoch  6, Batch    299, Loss  0.600383, Average Loss  0.604439, Time  0.231559
2021-09-15 04:37:57.489374 : Epoch  5, Batch    170, Loss  0.603794, Average Loss  0.610498, Time  0.239561
2021-09-15 04:37:58.998575 : Epoch  6, Batch    300, Loss  0.615339, Average Loss  0.604516, Time  0.231002
2021-09-15 04:37:59.039105 : Epoch  5, Batch    171, Loss  0.610269, Average Loss  0.610466, Time  0.239209
2021-09-15 04:37:59.234180 : Epoch  1, Batch   1524, Loss  0.866440, Average Loss  0.873706, Time  0.264026
2021-09-15 04:38:00.544222 : Epoch  6, Batch    301, Loss  0.602249, Average Loss  0.604505, Time  0.231393
2021-09-15 04:38:00.579019 : Epoch  5, Batch    172, Loss  0.606175, Average Loss  0.610434, Time  0.238217
2021-09-15 04:38:02.091427 : Epoch  6, Batch    302, Loss  0.602599, Average Loss  0.604564, Time  0.231141
2021-09-15 04:38:02.125411 : Epoch  5, Batch    173, Loss  0.616288, Average Loss  0.610456, Time  0.238035
2021-09-15 04:38:02.304607 : Epoch  1, Batch   1525, Loss  0.881028, Average Loss  0.873700, Time  0.266783
2021-09-15 04:38:03.637403 : Epoch  6, Batch    303, Loss  0.603269, Average Loss  0.604544, Time  0.231710
2021-09-15 04:38:03.674450 : Epoch  5, Batch    174, Loss  0.615866, Average Loss  0.610463, Time  0.241114
2021-09-15 04:38:05.183147 : Epoch  6, Batch    304, Loss  0.615426, Average Loss  0.604595, Time  0.231263
2021-09-15 04:38:05.226999 : Epoch  5, Batch    175, Loss  0.620990, Average Loss  0.610523, Time  0.238885
2021-09-15 04:38:05.311431 : Epoch  1, Batch   1526, Loss  0.883397, Average Loss  0.873748, Time  0.264963
2021-09-15 04:38:06.745347 : Epoch  6, Batch    305, Loss  0.601511, Average Loss  0.604581, Time  0.231384
2021-09-15 04:38:06.774883 : Epoch  5, Batch    176, Loss  0.611128, Average Loss  0.610531, Time  0.238642
2021-09-15 04:38:08.294895 : Epoch  6, Batch    306, Loss  0.603409, Average Loss  0.604574, Time  0.231847
2021-09-15 04:38:08.301312 : Epoch  1, Batch   1527, Loss  0.875367, Average Loss  0.873765, Time  0.264757
2021-09-15 04:38:08.333075 : Epoch  5, Batch    177, Loss  0.609872, Average Loss  0.610455, Time  0.239204
2021-09-15 04:38:09.837563 : Epoch  6, Batch    307, Loss  0.610091, Average Loss  0.604605, Time  0.231154
2021-09-15 04:38:09.898075 : Epoch  5, Batch    178, Loss  0.604355, Average Loss  0.610363, Time  0.240716
2021-09-15 04:38:11.321839 : Epoch  1, Batch   1528, Loss  0.891434, Average Loss  0.873889, Time  0.265660
2021-09-15 04:38:11.380247 : Epoch  6, Batch    308, Loss  0.605945, Average Loss  0.604621, Time  0.233981
2021-09-15 04:38:11.436969 : Epoch  5, Batch    179, Loss  0.623870, Average Loss  0.610501, Time  0.241699
2021-09-15 04:38:12.932217 : Epoch  6, Batch    309, Loss  0.613486, Average Loss  0.604687, Time  0.231707
2021-09-15 04:38:13.140461 : Epoch  5, Batch    180, Loss  0.613997, Average Loss  0.610529, Time  0.260794
2021-09-15 04:38:14.347774 : Epoch  1, Batch   1529, Loss  0.878158, Average Loss  0.873960, Time  0.264660
2021-09-15 04:38:14.471126 : Epoch  6, Batch    310, Loss  0.601610, Average Loss  0.604683, Time  0.230930
2021-09-15 04:38:14.826787 : Epoch  5, Batch    181, Loss  0.610212, Average Loss  0.610499, Time  0.259313
2021-09-15 04:38:16.018141 : Epoch  6, Batch    311, Loss  0.608574, Average Loss  0.604764, Time  0.231916
2021-09-15 04:38:16.500380 : Epoch  5, Batch    182, Loss  0.608822, Average Loss  0.610544, Time  0.259048
2021-09-15 04:38:17.351672 : Epoch  1, Batch   1530, Loss  0.891742, Average Loss  0.874010, Time  0.276564
2021-09-15 04:38:17.561269 : Epoch  6, Batch    312, Loss  0.602305, Average Loss  0.604711, Time  0.231128
2021-09-15 04:38:18.183032 : Epoch  5, Batch    183, Loss  0.612831, Average Loss  0.610556, Time  0.258224
2021-09-15 04:38:19.104381 : Epoch  6, Batch    313, Loss  0.602251, Average Loss  0.604719, Time  0.231927
2021-09-15 04:38:19.731919 : Epoch  5, Batch    184, Loss  0.604202, Average Loss  0.610535, Time  0.244238
2021-09-15 04:38:20.379543 : Epoch  1, Batch   1531, Loss  0.869647, Average Loss  0.874072, Time  0.265598
2021-09-15 04:38:20.651224 : Epoch  6, Batch    314, Loss  0.599895, Average Loss  0.604683, Time  0.232165
2021-09-15 04:38:21.260976 : Epoch  5, Batch    185, Loss  0.617383, Average Loss  0.610576, Time  0.238285
2021-09-15 04:38:22.189966 : Epoch  6, Batch    315, Loss  0.619652, Average Loss  0.604739, Time  0.231136
2021-09-15 04:38:22.791797 : Epoch  5, Batch    186, Loss  0.597397, Average Loss  0.610551, Time  0.240383
2021-09-15 04:38:23.377517 : Epoch  1, Batch   1532, Loss  0.865681, Average Loss  0.874107, Time  0.264341
2021-09-15 04:38:23.743676 : Epoch  6, Batch    316, Loss  0.611935, Average Loss  0.604804, Time  0.231268
2021-09-15 04:38:24.338189 : Epoch  5, Batch    187, Loss  0.603134, Average Loss  0.610526, Time  0.240749
2021-09-15 04:38:25.274653 : Epoch  6, Batch    317, Loss  0.601436, Average Loss  0.604787, Time  0.231413
2021-09-15 04:38:26.044126 : Epoch  5, Batch    188, Loss  0.614567, Average Loss  0.610595, Time  0.259779
2021-09-15 04:38:26.382995 : Epoch  1, Batch   1533, Loss  0.879811, Average Loss  0.874091, Time  0.265307
2021-09-15 04:38:26.825915 : Epoch  6, Batch    318, Loss  0.597644, Average Loss  0.604708, Time  0.232077
2021-09-15 04:38:27.729227 : Epoch  5, Batch    189, Loss  0.616410, Average Loss  0.610580, Time  0.260596
2021-09-15 04:38:28.374628 : Epoch  6, Batch    319, Loss  0.605791, Average Loss  0.604737, Time  0.231482
2021-09-15 04:38:29.378505 : Epoch  1, Batch   1534, Loss  0.873321, Average Loss  0.874119, Time  0.265703
2021-09-15 04:38:29.416412 : Epoch  5, Batch    190, Loss  0.605480, Average Loss  0.610527, Time  0.257205
2021-09-15 04:38:29.919699 : Epoch  6, Batch    320, Loss  0.599299, Average Loss  0.604764, Time  0.231664
2021-09-15 04:38:31.126052 : Epoch  5, Batch    191, Loss  0.612755, Average Loss  0.610597, Time  0.264238
2021-09-15 04:38:31.461339 : Epoch  6, Batch    321, Loss  0.598912, Average Loss  0.604782, Time  0.231705
2021-09-15 04:38:32.375155 : Epoch  1, Batch   1535, Loss  0.859719, Average Loss  0.874055, Time  0.264517
2021-09-15 04:38:32.679172 : Epoch  5, Batch    192, Loss  0.616840, Average Loss  0.610635, Time  0.240751
2021-09-15 04:38:32.998376 : Epoch  6, Batch    322, Loss  0.604723, Average Loss  0.604793, Time  0.231226
2021-09-15 04:38:34.204385 : Epoch  5, Batch    193, Loss  0.602039, Average Loss  0.610570, Time  0.239997
2021-09-15 04:38:34.539577 : Epoch  6, Batch    323, Loss  0.604073, Average Loss  0.604793, Time  0.231405
2021-09-15 04:38:35.355540 : Epoch  1, Batch   1536, Loss  0.874214, Average Loss  0.873908, Time  0.267248
2021-09-15 04:38:35.747974 : Epoch  5, Batch    194, Loss  0.609219, Average Loss  0.610598, Time  0.240379
2021-09-15 04:38:36.075199 : Epoch  6, Batch    324, Loss  0.618334, Average Loss  0.604902, Time  0.231307
2021-09-15 04:38:37.288464 : Epoch  5, Batch    195, Loss  0.615847, Average Loss  0.610565, Time  0.239308
2021-09-15 04:38:37.619431 : Epoch  6, Batch    325, Loss  0.606791, Average Loss  0.604871, Time  0.231058
2021-09-15 04:38:38.399762 : Epoch  1, Batch   1537, Loss  0.868989, Average Loss  0.873871, Time  0.266861
2021-09-15 04:38:38.987607 : Epoch  5, Batch    196, Loss  0.609502, Average Loss  0.610601, Time  0.253528
2021-09-15 04:38:39.167166 : Epoch  6, Batch    326, Loss  0.602961, Average Loss  0.604871, Time  0.231551
2021-09-15 04:38:40.521972 : Epoch  5, Batch    197, Loss  0.618217, Average Loss  0.610688, Time  0.240829
2021-09-15 04:38:40.709412 : Epoch  6, Batch    327, Loss  0.610856, Average Loss  0.604885, Time  0.231186
2021-09-15 04:38:41.415508 : Epoch  1, Batch   1538, Loss  0.873851, Average Loss  0.873989, Time  0.265747
2021-09-15 04:38:42.055819 : Epoch  5, Batch    198, Loss  0.610310, Average Loss  0.610698, Time  0.238695
2021-09-15 04:38:42.256468 : Epoch  6, Batch    328, Loss  0.609092, Average Loss  0.604890, Time  0.232927
2021-09-15 04:38:43.588383 : Epoch  5, Batch    199, Loss  0.621090, Average Loss  0.610802, Time  0.241440
2021-09-15 04:38:43.796649 : Epoch  6, Batch    329, Loss  0.603994, Average Loss  0.604926, Time  0.230966
2021-09-15 04:38:44.422445 : Epoch  1, Batch   1539, Loss  0.886937, Average Loss  0.874033, Time  0.265355
2021-09-15 04:38:45.125334 : Epoch  5, Batch    200, Loss  0.619706, Average Loss  0.610947, Time  0.238471
2021-09-15 04:38:45.339896 : Epoch  6, Batch    330, Loss  0.596237, Average Loss  0.604887, Time  0.231452
2021-09-15 04:38:46.676359 : Epoch  5, Batch    201, Loss  0.602717, Average Loss  0.610838, Time  0.239793
2021-09-15 04:38:46.884204 : Epoch  6, Batch    331, Loss  0.598406, Average Loss  0.604814, Time  0.231697
2021-09-15 04:38:47.011625 : Epoch  6, Batch    332, Loss  0.600533, Average Loss  0.604759, Time  0.091491
2021-09-15 04:38:47.412526 : Epoch  1, Batch   1540, Loss  0.882897, Average Loss  0.874247, Time  0.265283
2021-09-15 04:38:48.222340 : Epoch  5, Batch    202, Loss  0.614676, Average Loss  0.610875, Time  0.240803
2021-09-15 04:38:48.558397 : Epoch  6, Batch    333, Loss  0.618228, Average Loss  0.604860, Time  0.231837
2021-09-15 04:38:49.764810 : Epoch  5, Batch    203, Loss  0.621983, Average Loss  0.610907, Time  0.240874
2021-09-15 04:38:50.115371 : Epoch  6, Batch    334, Loss  0.609655, Average Loss  0.604854, Time  0.233832
2021-09-15 04:38:50.420283 : Epoch  1, Batch   1541, Loss  0.870397, Average Loss  0.874206, Time  0.266001
2021-09-15 04:38:51.302955 : Epoch  5, Batch    204, Loss  0.619730, Average Loss  0.610914, Time  0.242115
2021-09-15 04:38:51.660676 : Epoch  6, Batch    335, Loss  0.611192, Average Loss  0.604892, Time  0.231413
2021-09-15 04:38:52.849472 : Epoch  5, Batch    205, Loss  0.606013, Average Loss  0.610915, Time  0.240912
2021-09-15 04:38:53.193320 : Epoch  6, Batch    336, Loss  0.603292, Average Loss  0.604931, Time  0.232165
2021-09-15 04:38:53.404929 : Epoch  1, Batch   1542, Loss  0.874879, Average Loss  0.874320, Time  0.264307
2021-09-15 04:38:54.530906 : Epoch  5, Batch    206, Loss  0.600511, Average Loss  0.610908, Time  0.239986
2021-09-15 04:38:56.070787 : Epoch  5, Batch    207, Loss  0.613945, Average Loss  0.610976, Time  0.240108
2021-09-15 04:38:56.395451 : Epoch  1, Batch   1543, Loss  0.880313, Average Loss  0.874251, Time  0.265300
2021-09-15 04:38:57.134034 : Epoch  6, Batch    337, Loss  0.611022, Average Loss  0.604940, Time  0.265863
2021-09-15 04:38:57.618409 : Epoch  5, Batch    208, Loss  0.611852, Average Loss  0.611023, Time  0.242448
2021-09-15 04:38:58.677222 : Epoch  6, Batch    338, Loss  0.600070, Average Loss  0.604897, Time  0.234144
2021-09-15 04:38:59.150241 : Epoch  5, Batch    209, Loss  0.609707, Average Loss  0.611018, Time  0.238419
2021-09-15 04:38:59.422725 : Epoch  1, Batch   1544, Loss  0.877775, Average Loss  0.874238, Time  0.265436
2021-09-15 04:39:00.225369 : Epoch  6, Batch    339, Loss  0.610359, Average Loss  0.604939, Time  0.231269
2021-09-15 04:39:00.679819 : Epoch  5, Batch    210, Loss  0.605123, Average Loss  0.611048, Time  0.240699
2021-09-15 04:39:01.759639 : Epoch  6, Batch    340, Loss  0.603762, Average Loss  0.604955, Time  0.231551
2021-09-15 04:39:02.196048 : Epoch  5, Batch    211, Loss  0.595729, Average Loss  0.610958, Time  0.239178
2021-09-15 04:39:02.462406 : Epoch  1, Batch   1545, Loss  0.894592, Average Loss  0.874396, Time  0.277167
2021-09-15 04:39:03.310110 : Epoch  6, Batch    341, Loss  0.613980, Average Loss  0.604951, Time  0.231773
2021-09-15 04:39:03.875934 : Epoch  5, Batch    212, Loss  0.597898, Average Loss  0.610843, Time  0.257688
2021-09-15 04:39:04.847546 : Epoch  6, Batch    342, Loss  0.618154, Average Loss  0.605060, Time  0.232113
2021-09-15 04:39:05.481020 : Epoch  1, Batch   1546, Loss  0.889324, Average Loss  0.874395, Time  0.266402
2021-09-15 04:39:05.578449 : Epoch  5, Batch    213, Loss  0.608002, Average Loss  0.610817, Time  0.257681
2021-09-15 04:39:06.392530 : Epoch  6, Batch    343, Loss  0.616708, Average Loss  0.605116, Time  0.232824
2021-09-15 04:39:07.118889 : Epoch  5, Batch    214, Loss  0.597253, Average Loss  0.610788, Time  0.240834
2021-09-15 04:39:07.928398 : Epoch  6, Batch    344, Loss  0.601830, Average Loss  0.605091, Time  0.231125
2021-09-15 04:39:08.505418 : Epoch  1, Batch   1547, Loss  0.880891, Average Loss  0.874390, Time  0.264865
2021-09-15 04:39:08.664889 : Epoch  5, Batch    215, Loss  0.614972, Average Loss  0.610830, Time  0.241558
2021-09-15 04:39:09.475302 : Epoch  6, Batch    345, Loss  0.613292, Average Loss  0.605147, Time  0.231189
2021-09-15 04:39:10.214847 : Epoch  5, Batch    216, Loss  0.610609, Average Loss  0.610758, Time  0.240393
2021-09-15 04:39:11.027948 : Epoch  6, Batch    346, Loss  0.605170, Average Loss  0.605141, Time  0.232042
2021-09-15 04:39:11.500877 : Epoch  1, Batch   1548, Loss  0.860098, Average Loss  0.874334, Time  0.264451
2021-09-15 04:39:11.756811 : Epoch  5, Batch    217, Loss  0.608413, Average Loss  0.610714, Time  0.241321
2021-09-15 04:39:12.576633 : Epoch  6, Batch    347, Loss  0.599947, Average Loss  0.605151, Time  0.231779
2021-09-15 04:39:13.289576 : Epoch  5, Batch    218, Loss  0.602777, Average Loss  0.610717, Time  0.240038
2021-09-15 04:39:14.119604 : Epoch  6, Batch    348, Loss  0.616906, Average Loss  0.605201, Time  0.231365
2021-09-15 04:39:14.496987 : Epoch  1, Batch   1549, Loss  0.902461, Average Loss  0.874445, Time  0.265474
2021-09-15 04:39:14.953414 : Epoch  5, Batch    219, Loss  0.607554, Average Loss  0.610721, Time  0.257266
2021-09-15 04:39:15.665439 : Epoch  6, Batch    349, Loss  0.604969, Average Loss  0.605157, Time  0.231553
2021-09-15 04:39:16.502479 : Epoch  5, Batch    220, Loss  0.614592, Average Loss  0.610731, Time  0.241368
2021-09-15 04:39:17.205386 : Epoch  6, Batch    350, Loss  0.606730, Average Loss  0.605195, Time  0.230853
2021-09-15 04:39:17.487491 : Epoch  1, Batch   1550, Loss  0.865894, Average Loss  0.874334, Time  0.265206
2021-09-15 04:39:18.198005 : Epoch  5, Batch    221, Loss  0.609320, Average Loss  0.610731, Time  0.259930
2021-09-15 04:39:18.749563 : Epoch  6, Batch    351, Loss  0.603870, Average Loss  0.605171, Time  0.231514
2021-09-15 04:39:19.748061 : Epoch  5, Batch    222, Loss  0.616484, Average Loss  0.610720, Time  0.239578
2021-09-15 04:39:20.286079 : Epoch  6, Batch    352, Loss  0.599684, Average Loss  0.605100, Time  0.231845
2021-09-15 04:39:20.486626 : Epoch  1, Batch   1551, Loss  0.879903, Average Loss  0.874516, Time  0.264413
2021-09-15 04:39:21.829402 : Epoch  6, Batch    353, Loss  0.604130, Average Loss  0.605080, Time  0.231427
2021-09-15 04:39:23.372043 : Epoch  6, Batch    354, Loss  0.593513, Average Loss  0.605056, Time  0.232561
2021-09-15 04:39:23.473572 : Epoch  1, Batch   1552, Loss  0.851241, Average Loss  0.874426, Time  0.264397
2021-09-15 04:39:23.941829 : Epoch  5, Batch    223, Loss  0.609139, Average Loss  0.610718, Time  0.272947
2021-09-15 04:39:24.923385 : Epoch  6, Batch    355, Loss  0.600601, Average Loss  0.604931, Time  0.231546
2021-09-15 04:39:25.455257 : Epoch  5, Batch    224, Loss  0.615727, Average Loss  0.610721, Time  0.241406
2021-09-15 04:39:26.466088 : Epoch  6, Batch    356, Loss  0.600293, Average Loss  0.604820, Time  0.231835
2021-09-15 04:39:26.489647 : Epoch  1, Batch   1553, Loss  0.890472, Average Loss  0.874489, Time  0.265094
2021-09-15 04:39:27.135980 : Epoch  5, Batch    225, Loss  0.601140, Average Loss  0.610661, Time  0.260228
2021-09-15 04:39:28.006234 : Epoch  6, Batch    357, Loss  0.591027, Average Loss  0.604672, Time  0.231410
2021-09-15 04:39:28.771077 : Epoch  5, Batch    226, Loss  0.601219, Average Loss  0.610588, Time  0.239957
2021-09-15 04:39:29.521978 : Epoch  1, Batch   1554, Loss  0.870905, Average Loss  0.874576, Time  0.265972
2021-09-15 04:39:29.541041 : Epoch  6, Batch    358, Loss  0.600179, Average Loss  0.604633, Time  0.231617
2021-09-15 04:39:30.460791 : Epoch  5, Batch    227, Loss  0.618541, Average Loss  0.610650, Time  0.260794
2021-09-15 04:39:31.098538 : Epoch  6, Batch    359, Loss  0.600355, Average Loss  0.604592, Time  0.232029
2021-09-15 04:39:32.149418 : Epoch  5, Batch    228, Loss  0.619070, Average Loss  0.610719, Time  0.256880
2021-09-15 04:39:32.543882 : Epoch  1, Batch   1555, Loss  0.880472, Average Loss  0.874643, Time  0.265540
2021-09-15 04:39:32.642854 : Epoch  6, Batch    360, Loss  0.604866, Average Loss  0.604623, Time  0.231160
2021-09-15 04:39:33.826949 : Epoch  5, Batch    229, Loss  0.609808, Average Loss  0.610671, Time  0.260567
2021-09-15 04:39:34.170042 : Epoch  6, Batch    361, Loss  0.615691, Average Loss  0.604639, Time  0.231312
2021-09-15 04:39:35.529463 : Epoch  5, Batch    230, Loss  0.607113, Average Loss  0.610680, Time  0.260032
2021-09-15 04:39:35.558951 : Epoch  1, Batch   1556, Loss  0.876703, Average Loss  0.874624, Time  0.264945
2021-09-15 04:39:35.701651 : Epoch  6, Batch    362, Loss  0.607340, Average Loss  0.604616, Time  0.232396
2021-09-15 04:39:37.210823 : Epoch  5, Batch    231, Loss  0.614371, Average Loss  0.610690, Time  0.258810
2021-09-15 04:39:37.243961 : Epoch  6, Batch    363, Loss  0.594863, Average Loss  0.604563, Time  0.232841
2021-09-15 04:39:38.590221 : Epoch  1, Batch   1557, Loss  0.872227, Average Loss  0.874675, Time  0.265058
2021-09-15 04:39:38.731501 : Epoch  5, Batch    232, Loss  0.608673, Average Loss  0.610697, Time  0.238458
2021-09-15 04:39:38.788329 : Epoch  6, Batch    364, Loss  0.606797, Average Loss  0.604539, Time  0.233287
2021-09-15 04:39:40.245324 : Epoch  5, Batch    233, Loss  0.597017, Average Loss  0.610590, Time  0.239549
2021-09-15 04:39:40.335372 : Epoch  6, Batch    365, Loss  0.605158, Average Loss  0.604491, Time  0.231372
2021-09-15 04:39:41.589676 : Epoch  1, Batch   1558, Loss  0.876257, Average Loss  0.874606, Time  0.266390
2021-09-15 04:39:41.766231 : Epoch  5, Batch    234, Loss  0.616482, Average Loss  0.610597, Time  0.236338
2021-09-15 04:39:43.280936 : Epoch  5, Batch    235, Loss  0.604130, Average Loss  0.610582, Time  0.236041
2021-09-15 04:39:44.579943 : Epoch  1, Batch   1559, Loss  0.878845, Average Loss  0.874622, Time  0.264971
2021-09-15 04:39:44.826124 : Epoch  5, Batch    236, Loss  0.603672, Average Loss  0.610539, Time  0.238703
2021-09-15 04:39:46.349811 : Epoch  5, Batch    237, Loss  0.608617, Average Loss  0.610527, Time  0.239298
2021-09-15 04:39:47.576058 : Epoch  1, Batch   1560, Loss  0.891163, Average Loss  0.874792, Time  0.276838
2021-09-15 04:39:47.881396 : Epoch  5, Batch    238, Loss  0.621667, Average Loss  0.610591, Time  0.241090
2021-09-15 04:39:49.399856 : Epoch  5, Batch    239, Loss  0.613710, Average Loss  0.610534, Time  0.239116
2021-09-15 04:39:50.624612 : Epoch  1, Batch   1561, Loss  0.866032, Average Loss  0.874805, Time  0.267614
2021-09-15 04:39:51.102027 : Epoch  5, Batch    240, Loss  0.619890, Average Loss  0.610565, Time  0.260537
2021-09-15 04:39:52.667194 : Epoch  5, Batch    241, Loss  0.604858, Average Loss  0.610500, Time  0.241230
2021-09-15 04:39:53.622378 : Epoch  1, Batch   1562, Loss  0.878714, Average Loss  0.874738, Time  0.265338
2021-09-15 04:39:54.212795 : Epoch  5, Batch    242, Loss  0.600430, Average Loss  0.610509, Time  0.241260
2021-09-15 04:39:55.739312 : Epoch  5, Batch    243, Loss  0.602722, Average Loss  0.610473, Time  0.239275
2021-09-15 04:39:56.608543 : Epoch  1, Batch   1563, Loss  0.867327, Average Loss  0.874775, Time  0.265422
2021-09-15 04:39:57.429006 : Epoch  5, Batch    244, Loss  0.619704, Average Loss  0.610564, Time  0.260292
2021-09-15 04:39:59.138275 : Epoch  5, Batch    245, Loss  0.604357, Average Loss  0.610545, Time  0.259019
2021-09-15 04:39:59.606080 : Epoch  1, Batch   1564, Loss  0.868043, Average Loss  0.874743, Time  0.264940
2021-09-15 04:40:00.832396 : Epoch  5, Batch    246, Loss  0.612144, Average Loss  0.610531, Time  0.258136
2021-09-15 04:40:02.370903 : Epoch  5, Batch    247, Loss  0.607463, Average Loss  0.610501, Time  0.240061
2021-09-15 04:40:02.615692 : Epoch  1, Batch   1565, Loss  0.884960, Average Loss  0.874735, Time  0.264763
2021-09-15 04:40:03.918176 : Epoch  5, Batch    248, Loss  0.606685, Average Loss  0.610535, Time  0.241724
2021-09-15 04:40:05.455904 : Epoch  5, Batch    249, Loss  0.617731, Average Loss  0.610546, Time  0.239374
2021-09-15 04:40:05.626001 : Epoch  1, Batch   1566, Loss  0.866872, Average Loss  0.874649, Time  0.265209
2021-09-15 04:40:07.000430 : Epoch  5, Batch    250, Loss  0.615429, Average Loss  0.610587, Time  0.241075
2021-09-15 04:40:08.534056 : Epoch  5, Batch    251, Loss  0.606323, Average Loss  0.610553, Time  0.239222
2021-09-15 04:40:08.638026 : Epoch  1, Batch   1567, Loss  0.858855, Average Loss  0.874545, Time  0.265055
2021-09-15 04:40:10.244477 : Epoch  5, Batch    252, Loss  0.609156, Average Loss  0.610517, Time  0.260285
2021-09-15 04:40:11.624292 : Epoch  1, Batch   1568, Loss  0.870051, Average Loss  0.874493, Time  0.264549
2021-09-15 04:40:14.635716 : Epoch  1, Batch   1569, Loss  0.875683, Average Loss  0.874547, Time  0.266376
2021-09-15 04:40:17.627115 : Epoch  1, Batch   1570, Loss  0.874789, Average Loss  0.874540, Time  0.264178
2021-09-15 04:40:20.642161 : Epoch  1, Batch   1571, Loss  0.884568, Average Loss  0.874561, Time  0.265653
2021-09-15 04:40:23.679355 : Epoch  1, Batch   1572, Loss  0.883446, Average Loss  0.874499, Time  0.265489
2021-09-15 04:40:26.665433 : Epoch  1, Batch   1573, Loss  0.874754, Average Loss  0.874575, Time  0.265263
2021-09-15 04:40:29.651652 : Epoch  1, Batch   1574, Loss  0.878163, Average Loss  0.874480, Time  0.265264
2021-09-15 04:40:32.692285 : Epoch  1, Batch   1575, Loss  0.883955, Average Loss  0.874553, Time  0.277291
2021-09-15 04:40:35.708100 : Epoch  1, Batch   1576, Loss  0.896603, Average Loss  0.874693, Time  0.266004
2021-09-15 04:40:37.914738 : CheckPoint: Validation Loss  0.00025732, Best Loss  0.00024571
2021-09-15 04:40:38.753735 : Epoch  1, Batch   1577, Loss  0.884170, Average Loss  0.874733, Time  0.268419
2021-09-15 04:40:39.470103 : Epoch  6, Batch    366, Loss  0.599188, Average Loss  0.604422, Time  0.231606
2021-09-15 04:40:41.017479 : Epoch  6, Batch    367, Loss  0.611315, Average Loss  0.604457, Time  0.231084
2021-09-15 04:40:41.775499 : Epoch  1, Batch   1578, Loss  0.859081, Average Loss  0.874785, Time  0.265776
2021-09-15 04:40:42.574043 : Epoch  6, Batch    368, Loss  0.613403, Average Loss  0.604505, Time  0.231371
2021-09-15 04:40:44.124187 : Epoch  6, Batch    369, Loss  0.603985, Average Loss  0.604543, Time  0.232969
2021-09-15 04:40:44.791695 : Epoch  1, Batch   1579, Loss  0.883109, Average Loss  0.874841, Time  0.266472
2021-09-15 04:40:45.669393 : Epoch  6, Batch    370, Loss  0.608096, Average Loss  0.604531, Time  0.230941
2021-09-15 04:40:47.219379 : Epoch  6, Batch    371, Loss  0.606969, Average Loss  0.604561, Time  0.232378
2021-09-15 04:40:47.829959 : Epoch  1, Batch   1580, Loss  0.873150, Average Loss  0.874839, Time  0.267199
2021-09-15 04:40:48.782084 : Epoch  6, Batch    372, Loss  0.607962, Average Loss  0.604672, Time  0.231559
2021-09-15 04:40:50.333369 : Epoch  6, Batch    373, Loss  0.597640, Average Loss  0.604593, Time  0.231757
2021-09-15 04:40:50.833784 : Epoch  1, Batch   1581, Loss  0.865908, Average Loss  0.874773, Time  0.264821
2021-09-15 04:40:51.880329 : Epoch  6, Batch    374, Loss  0.595968, Average Loss  0.604549, Time  0.231081
2021-09-15 04:40:53.437415 : Epoch  6, Batch    375, Loss  0.606355, Average Loss  0.604603, Time  0.233535
2021-09-15 04:40:53.833966 : Epoch  1, Batch   1582, Loss  0.887091, Average Loss  0.874795, Time  0.265759
2021-09-15 04:40:54.994428 : Epoch  6, Batch    376, Loss  0.612954, Average Loss  0.604663, Time  0.235362
2021-09-15 04:40:56.541539 : Epoch  6, Batch    377, Loss  0.593706, Average Loss  0.604605, Time  0.230901
2021-09-15 04:40:56.865566 : Epoch  1, Batch   1583, Loss  0.879966, Average Loss  0.874947, Time  0.265655
2021-09-15 04:40:58.085129 : Epoch  6, Batch    378, Loss  0.602186, Average Loss  0.604579, Time  0.231694
2021-09-15 04:40:59.624068 : Epoch  6, Batch    379, Loss  0.603295, Average Loss  0.604581, Time  0.231473
2021-09-15 04:40:59.867112 : Epoch  1, Batch   1584, Loss  0.890725, Average Loss  0.875006, Time  0.264240
2021-09-15 04:41:01.165920 : Epoch  6, Batch    380, Loss  0.599487, Average Loss  0.604563, Time  0.230852
2021-09-15 04:41:02.711594 : Epoch  6, Batch    381, Loss  0.594026, Average Loss  0.604510, Time  0.231887
2021-09-15 04:41:02.886074 : Epoch  1, Batch   1585, Loss  0.866662, Average Loss  0.874968, Time  0.265620
2021-09-15 04:41:04.253923 : Epoch  6, Batch    382, Loss  0.595243, Average Loss  0.604453, Time  0.231024
2021-09-15 04:41:05.792970 : Epoch  6, Batch    383, Loss  0.605186, Average Loss  0.604430, Time  0.231864
2021-09-15 04:41:05.885897 : Epoch  1, Batch   1586, Loss  0.865139, Average Loss  0.874834, Time  0.266571
2021-09-15 04:41:07.330512 : Epoch  6, Batch    384, Loss  0.607370, Average Loss  0.604414, Time  0.231792
2021-09-15 04:41:08.872229 : Epoch  6, Batch    385, Loss  0.605068, Average Loss  0.604450, Time  0.231311
2021-09-15 04:41:08.896214 : Epoch  1, Batch   1587, Loss  0.890251, Average Loss  0.874970, Time  0.264638
2021-09-15 04:41:10.408539 : Epoch  6, Batch    386, Loss  0.605207, Average Loss  0.604547, Time  0.230863
2021-09-15 04:41:10.458014 : CheckPoint: Validation Loss  0.00025205, Best Loss  0.00024716
2021-09-15 04:41:11.902099 : Epoch  1, Batch   1588, Loss  0.868310, Average Loss  0.874858, Time  0.264378
2021-09-15 04:41:11.947267 : Epoch  6, Batch    387, Loss  0.600579, Average Loss  0.604523, Time  0.231377
2021-09-15 04:41:11.997248 : Epoch  5, Batch    253, Loss  0.612524, Average Loss  0.610576, Time  0.238130
2021-09-15 04:41:13.496959 : Epoch  6, Batch    388, Loss  0.608314, Average Loss  0.604530, Time  0.231498
2021-09-15 04:41:13.547759 : Epoch  5, Batch    254, Loss  0.598240, Average Loss  0.610489, Time  0.238537
2021-09-15 04:41:14.899336 : Epoch  1, Batch   1589, Loss  0.890632, Average Loss  0.874814, Time  0.265904
2021-09-15 04:41:15.032920 : Epoch  6, Batch    389, Loss  0.610427, Average Loss  0.604535, Time  0.231144
2021-09-15 04:41:15.075783 : Epoch  5, Batch    255, Loss  0.611044, Average Loss  0.610458, Time  0.239066
2021-09-15 04:41:16.565468 : Epoch  6, Batch    390, Loss  0.607938, Average Loss  0.604499, Time  0.230768
2021-09-15 04:41:16.626737 : Epoch  5, Batch    256, Loss  0.604459, Average Loss  0.610379, Time  0.240010
2021-09-15 04:41:17.920511 : Epoch  1, Batch   1590, Loss  0.909024, Average Loss  0.874959, Time  0.273557
2021-09-15 04:41:18.100310 : Epoch  6, Batch    391, Loss  0.612237, Average Loss  0.604532, Time  0.231532
2021-09-15 04:41:18.324807 : Epoch  5, Batch    257, Loss  0.612972, Average Loss  0.610310, Time  0.257117
2021-09-15 04:41:19.646900 : Epoch  6, Batch    392, Loss  0.602594, Average Loss  0.604536, Time  0.231625
2021-09-15 04:41:20.002361 : Epoch  5, Batch    258, Loss  0.608899, Average Loss  0.610306, Time  0.257133
2021-09-15 04:41:20.917905 : Epoch  1, Batch   1591, Loss  0.880385, Average Loss  0.874930, Time  0.264363
2021-09-15 04:41:21.191864 : Epoch  6, Batch    393, Loss  0.606313, Average Loss  0.604600, Time  0.231201
2021-09-15 04:41:21.682844 : Epoch  5, Batch    259, Loss  0.620294, Average Loss  0.610346, Time  0.260428
2021-09-15 04:41:22.736440 : Epoch  6, Batch    394, Loss  0.597161, Average Loss  0.604520, Time  0.232946
2021-09-15 04:41:23.357812 : Epoch  5, Batch    260, Loss  0.608830, Average Loss  0.610372, Time  0.257622
2021-09-15 04:41:23.920071 : Epoch  1, Batch   1592, Loss  0.861152, Average Loss  0.874917, Time  0.265557
2021-09-15 04:41:24.284594 : Epoch  6, Batch    395, Loss  0.594848, Average Loss  0.604480, Time  0.231236
2021-09-15 04:41:25.045856 : Epoch  5, Batch    261, Loss  0.608684, Average Loss  0.610317, Time  0.258327
2021-09-15 04:41:25.824133 : Epoch  6, Batch    396, Loss  0.607138, Average Loss  0.604493, Time  0.231234
2021-09-15 04:41:26.733726 : Epoch  5, Batch    262, Loss  0.619361, Average Loss  0.610324, Time  0.259254
2021-09-15 04:41:26.919090 : Epoch  1, Batch   1593, Loss  0.874597, Average Loss  0.874925, Time  0.264756
2021-09-15 04:41:27.375379 : Epoch  6, Batch    397, Loss  0.603371, Average Loss  0.604440, Time  0.231238
2021-09-15 04:41:28.257662 : Epoch  5, Batch    263, Loss  0.603576, Average Loss  0.610219, Time  0.238460
2021-09-15 04:41:28.920671 : Epoch  6, Batch    398, Loss  0.609921, Average Loss  0.604448, Time  0.231133
2021-09-15 04:41:29.788419 : Epoch  5, Batch    264, Loss  0.612184, Average Loss  0.610175, Time  0.239036
2021-09-15 04:41:29.944966 : Epoch  1, Batch   1594, Loss  0.878310, Average Loss  0.874939, Time  0.264023
2021-09-15 04:41:30.474573 : Epoch  6, Batch    399, Loss  0.604716, Average Loss  0.604417, Time  0.231292
2021-09-15 04:41:31.319937 : Epoch  5, Batch    265, Loss  0.601558, Average Loss  0.610130, Time  0.238858
2021-09-15 04:41:32.011591 : Epoch  6, Batch    400, Loss  0.605410, Average Loss  0.604422, Time  0.231440
2021-09-15 04:41:32.855542 : Epoch  5, Batch    266, Loss  0.614745, Average Loss  0.610129, Time  0.241662
2021-09-15 04:41:32.970330 : Epoch  1, Batch   1595, Loss  0.888463, Average Loss  0.875098, Time  0.266642
2021-09-15 04:41:33.552076 : Epoch  6, Batch    401, Loss  0.612600, Average Loss  0.604464, Time  0.231333
2021-09-15 04:41:34.556868 : Epoch  5, Batch    267, Loss  0.619895, Average Loss  0.610230, Time  0.259084
2021-09-15 04:41:35.094533 : Epoch  6, Batch    402, Loss  0.596843, Average Loss  0.604479, Time  0.231089
2021-09-15 04:41:35.994508 : Epoch  1, Batch   1596, Loss  0.861852, Average Loss  0.875088, Time  0.264874
2021-09-15 04:41:36.245793 : Epoch  5, Batch    268, Loss  0.612016, Average Loss  0.610262, Time  0.259567
2021-09-15 04:41:36.634074 : Epoch  6, Batch    403, Loss  0.609946, Average Loss  0.604455, Time  0.231142
2021-09-15 04:41:37.917048 : Epoch  5, Batch    269, Loss  0.614128, Average Loss  0.610324, Time  0.240137
2021-09-15 04:41:38.183538 : Epoch  6, Batch    404, Loss  0.611150, Average Loss  0.604526, Time  0.231686
2021-09-15 04:41:38.986053 : Epoch  1, Batch   1597, Loss  0.862749, Average Loss  0.875081, Time  0.267885
2021-09-15 04:41:39.437497 : Epoch  5, Batch    270, Loss  0.613357, Average Loss  0.610303, Time  0.240327
2021-09-15 04:41:39.724399 : Epoch  6, Batch    405, Loss  0.605326, Average Loss  0.604516, Time  0.231577
2021-09-15 04:41:40.956030 : Epoch  5, Batch    271, Loss  0.614314, Average Loss  0.610337, Time  0.241005
2021-09-15 04:41:41.272396 : Epoch  6, Batch    406, Loss  0.599459, Average Loss  0.604510, Time  0.231798
2021-09-15 04:41:42.000052 : Epoch  1, Batch   1598, Loss  0.863594, Average Loss  0.875043, Time  0.265533
2021-09-15 04:41:42.481542 : Epoch  5, Batch    272, Loss  0.615445, Average Loss  0.610410, Time  0.237969
2021-09-15 04:41:42.814546 : Epoch  6, Batch    407, Loss  0.606702, Average Loss  0.604485, Time  0.231333
2021-09-15 04:41:44.011351 : Epoch  5, Batch    273, Loss  0.612098, Average Loss  0.610441, Time  0.241673
2021-09-15 04:41:44.350291 : Epoch  6, Batch    408, Loss  0.617759, Average Loss  0.604560, Time  0.231732
2021-09-15 04:41:44.993537 : Epoch  1, Batch   1599, Loss  0.877099, Average Loss  0.875122, Time  0.266322
2021-09-15 04:41:45.695481 : Epoch  5, Batch    274, Loss  0.611073, Average Loss  0.610380, Time  0.258884
2021-09-15 04:41:45.885720 : Epoch  6, Batch    409, Loss  0.610029, Average Loss  0.604590, Time  0.231471
2021-09-15 04:41:47.257110 : Epoch  5, Batch    275, Loss  0.612257, Average Loss  0.610424, Time  0.239297
2021-09-15 04:41:47.420986 : Epoch  6, Batch    410, Loss  0.603088, Average Loss  0.604593, Time  0.231094
2021-09-15 04:41:47.994101 : Epoch  1, Batch   1600, Loss  0.838187, Average Loss  0.875057, Time  0.265923
2021-09-15 04:41:48.801056 : Epoch  5, Batch    276, Loss  0.599173, Average Loss  0.610413, Time  0.255890
2021-09-15 04:41:48.962195 : Epoch  6, Batch    411, Loss  0.603154, Average Loss  0.604576, Time  0.231849
2021-09-15 04:41:50.323965 : Epoch  5, Batch    277, Loss  0.612077, Average Loss  0.610403, Time  0.238930
2021-09-15 04:41:50.496110 : Epoch  6, Batch    412, Loss  0.613040, Average Loss  0.604608, Time  0.231167
2021-09-15 04:41:51.867815 : Epoch  5, Batch    278, Loss  0.615663, Average Loss  0.610382, Time  0.238868
2021-09-15 04:41:52.031411 : Epoch  6, Batch    413, Loss  0.618214, Average Loss  0.604679, Time  0.231662
2021-09-15 04:41:53.419917 : Epoch  5, Batch    279, Loss  0.602899, Average Loss  0.610358, Time  0.242962
2021-09-15 04:41:53.578532 : Epoch  6, Batch    414, Loss  0.606674, Average Loss  0.604664, Time  0.231539
2021-09-15 04:41:54.949341 : Epoch  5, Batch    280, Loss  0.615635, Average Loss  0.610367, Time  0.238883
2021-09-15 04:41:55.123402 : Epoch  6, Batch    415, Loss  0.596783, Average Loss  0.604639, Time  0.230970
2021-09-15 04:41:56.491825 : Epoch  5, Batch    281, Loss  0.602493, Average Loss  0.610327, Time  0.240350
2021-09-15 04:41:56.654675 : Epoch  6, Batch    416, Loss  0.596245, Average Loss  0.604593, Time  0.230937
2021-09-15 04:41:58.024962 : Epoch  5, Batch    282, Loss  0.606434, Average Loss  0.610336, Time  0.241832
2021-09-15 04:41:58.186625 : Epoch  6, Batch    417, Loss  0.596078, Average Loss  0.604618, Time  0.232883
2021-09-15 04:41:59.549974 : Epoch  5, Batch    283, Loss  0.610857, Average Loss  0.610298, Time  0.237983
2021-09-15 04:41:59.724038 : Epoch  6, Batch    418, Loss  0.599440, Average Loss  0.604557, Time  0.231320
2021-09-15 04:42:01.072318 : Epoch  5, Batch    284, Loss  0.606123, Average Loss  0.610268, Time  0.240250
2021-09-15 04:42:01.264622 : Epoch  6, Batch    419, Loss  0.605567, Average Loss  0.604603, Time  0.231069
2021-09-15 04:42:02.615029 : Epoch  5, Batch    285, Loss  0.612568, Average Loss  0.610271, Time  0.241482
2021-09-15 04:42:02.801909 : Epoch  6, Batch    420, Loss  0.602366, Average Loss  0.604592, Time  0.231380
2021-09-15 04:42:04.135869 : Epoch  5, Batch    286, Loss  0.615563, Average Loss  0.610350, Time  0.238169
2021-09-15 04:42:04.336155 : Epoch  6, Batch    421, Loss  0.602015, Average Loss  0.604635, Time  0.231448
2021-09-15 04:42:05.654649 : Epoch  5, Batch    287, Loss  0.615779, Average Loss  0.610339, Time  0.238413
2021-09-15 04:42:05.877341 : Epoch  6, Batch    422, Loss  0.595677, Average Loss  0.604551, Time  0.231131
2021-09-15 04:42:07.203011 : Epoch  5, Batch    288, Loss  0.615404, Average Loss  0.610354, Time  0.241314
2021-09-15 04:42:07.415690 : Epoch  6, Batch    423, Loss  0.605938, Average Loss  0.604543, Time  0.231031
2021-09-15 04:42:08.725174 : Epoch  5, Batch    289, Loss  0.600559, Average Loss  0.610371, Time  0.239663
2021-09-15 04:42:08.945131 : Epoch  6, Batch    424, Loss  0.594069, Average Loss  0.604505, Time  0.231438
2021-09-15 04:42:10.271784 : Epoch  5, Batch    290, Loss  0.611058, Average Loss  0.610311, Time  0.240117
2021-09-15 04:42:10.489309 : Epoch  6, Batch    425, Loss  0.610872, Average Loss  0.604512, Time  0.231873
2021-09-15 04:42:11.802794 : Epoch  5, Batch    291, Loss  0.608402, Average Loss  0.610263, Time  0.239473
2021-09-15 04:42:12.037564 : Epoch  6, Batch    426, Loss  0.607334, Average Loss  0.604470, Time  0.231171
2021-09-15 04:42:13.473823 : Epoch  5, Batch    292, Loss  0.604411, Average Loss  0.610211, Time  0.256269
2021-09-15 04:42:13.571112 : Epoch  6, Batch    427, Loss  0.601046, Average Loss  0.604496, Time  0.231560
2021-09-15 04:42:15.118426 : Epoch  6, Batch    428, Loss  0.615309, Average Loss  0.604567, Time  0.234334
2021-09-15 04:42:15.165152 : Epoch  5, Batch    293, Loss  0.601383, Average Loss  0.610150, Time  0.260422
2021-09-15 04:42:16.661561 : Epoch  6, Batch    429, Loss  0.605638, Average Loss  0.604592, Time  0.231149
2021-09-15 04:42:16.715427 : Epoch  5, Batch    294, Loss  0.609317, Average Loss  0.610196, Time  0.240741
2021-09-15 04:42:18.201384 : Epoch  6, Batch    430, Loss  0.597468, Average Loss  0.604598, Time  0.232836
2021-09-15 04:42:18.254692 : Epoch  5, Batch    295, Loss  0.602880, Average Loss  0.610178, Time  0.239879
2021-09-15 04:42:19.740546 : Epoch  6, Batch    431, Loss  0.601305, Average Loss  0.604610, Time  0.231357
2021-09-15 04:42:19.950003 : Epoch  5, Batch    296, Loss  0.612615, Average Loss  0.610174, Time  0.259008
2021-09-15 04:42:21.287402 : Epoch  6, Batch    432, Loss  0.601603, Average Loss  0.604548, Time  0.231589
2021-09-15 04:42:21.474763 : Epoch  5, Batch    297, Loss  0.614824, Average Loss  0.610221, Time  0.241106
2021-09-15 04:42:22.834007 : Epoch  6, Batch    433, Loss  0.608390, Average Loss  0.604596, Time  0.231496
2021-09-15 04:42:23.016966 : Epoch  5, Batch    298, Loss  0.613848, Average Loss  0.610287, Time  0.241181
2021-09-15 04:42:24.376077 : Epoch  6, Batch    434, Loss  0.598834, Average Loss  0.604617, Time  0.231230
2021-09-15 04:42:24.538375 : Epoch  5, Batch    299, Loss  0.601681, Average Loss  0.610282, Time  0.239943
2021-09-15 04:42:25.925551 : Epoch  6, Batch    435, Loss  0.607157, Average Loss  0.604587, Time  0.231775
2021-09-15 04:42:26.059338 : Epoch  5, Batch    300, Loss  0.614505, Average Loss  0.610284, Time  0.240589
2021-09-15 04:42:27.579114 : Epoch  5, Batch    301, Loss  0.618197, Average Loss  0.610369, Time  0.240663
2021-09-15 04:42:29.103375 : Epoch  5, Batch    302, Loss  0.615643, Average Loss  0.610389, Time  0.239290
2021-09-15 04:42:29.895565 : Epoch  6, Batch    436, Loss  0.612692, Average Loss  0.604626, Time  0.260989
2021-09-15 04:42:30.639393 : Epoch  5, Batch    303, Loss  0.616156, Average Loss  0.610493, Time  0.238924
2021-09-15 04:42:31.451169 : Epoch  6, Batch    437, Loss  0.598897, Average Loss  0.604616, Time  0.238832
2021-09-15 04:42:32.168331 : Epoch  5, Batch    304, Loss  0.602418, Average Loss  0.610419, Time  0.237865
2021-09-15 04:42:33.000127 : Epoch  6, Batch    438, Loss  0.596990, Average Loss  0.604583, Time  0.231498
2021-09-15 04:42:33.702979 : Epoch  5, Batch    305, Loss  0.596034, Average Loss  0.610339, Time  0.240252
2021-09-15 04:42:34.541049 : Epoch  6, Batch    439, Loss  0.607201, Average Loss  0.604595, Time  0.231587
2021-09-15 04:42:35.236130 : Epoch  5, Batch    306, Loss  0.616712, Average Loss  0.610433, Time  0.240031
2021-09-15 04:42:36.081239 : Epoch  6, Batch    440, Loss  0.624471, Average Loss  0.604687, Time  0.231428
2021-09-15 04:42:36.763998 : Epoch  5, Batch    307, Loss  0.617672, Average Loss  0.610455, Time  0.241658
2021-09-15 04:42:37.616108 : Epoch  6, Batch    441, Loss  0.609067, Average Loss  0.604748, Time  0.232323
2021-09-15 04:42:38.292848 : Epoch  5, Batch    308, Loss  0.599500, Average Loss  0.610411, Time  0.240567
2021-09-15 04:42:39.157361 : Epoch  6, Batch    442, Loss  0.594876, Average Loss  0.604707, Time  0.232252
2021-09-15 04:42:39.825945 : Epoch  5, Batch    309, Loss  0.608806, Average Loss  0.610376, Time  0.240684
2021-09-15 04:42:40.692582 : Epoch  6, Batch    443, Loss  0.615029, Average Loss  0.604817, Time  0.231642
2021-09-15 04:42:41.370407 : Epoch  5, Batch    310, Loss  0.608443, Average Loss  0.610390, Time  0.240676
2021-09-15 04:42:42.241668 : Epoch  6, Batch    444, Loss  0.600668, Average Loss  0.604800, Time  0.231188
2021-09-15 04:42:42.896802 : Epoch  5, Batch    311, Loss  0.605482, Average Loss  0.610365, Time  0.239751
2021-09-15 04:42:43.784067 : Epoch  6, Batch    445, Loss  0.584344, Average Loss  0.604689, Time  0.231647
2021-09-15 04:42:44.420393 : Epoch  5, Batch    312, Loss  0.611662, Average Loss  0.610394, Time  0.241090
2021-09-15 04:42:45.327816 : Epoch  6, Batch    446, Loss  0.604902, Average Loss  0.604729, Time  0.231394
2021-09-15 04:42:45.946165 : Epoch  5, Batch    313, Loss  0.612297, Average Loss  0.610408, Time  0.240724
2021-09-15 04:42:46.865968 : Epoch  6, Batch    447, Loss  0.607045, Average Loss  0.604728, Time  0.232251
2021-09-15 04:42:47.490413 : Epoch  5, Batch    314, Loss  0.605870, Average Loss  0.610391, Time  0.242010
2021-09-15 04:42:48.405082 : Epoch  6, Batch    448, Loss  0.614248, Average Loss  0.604795, Time  0.231348
2021-09-15 04:42:49.016836 : Epoch  5, Batch    315, Loss  0.595371, Average Loss  0.610378, Time  0.241113
2021-09-15 04:42:49.949338 : Epoch  6, Batch    449, Loss  0.610836, Average Loss  0.604772, Time  0.234134
2021-09-15 04:42:50.537344 : Epoch  5, Batch    316, Loss  0.621625, Average Loss  0.610471, Time  0.240126
2021-09-15 04:42:51.490585 : Epoch  6, Batch    450, Loss  0.611813, Average Loss  0.604858, Time  0.231098
2021-09-15 04:42:52.064486 : Epoch  5, Batch    317, Loss  0.604949, Average Loss  0.610456, Time  0.238389
2021-09-15 04:42:53.039568 : Epoch  6, Batch    451, Loss  0.590437, Average Loss  0.604781, Time  0.231209
2021-09-15 04:42:53.612425 : Epoch  5, Batch    318, Loss  0.593607, Average Loss  0.610383, Time  0.241597
2021-09-15 04:42:54.585077 : Epoch  6, Batch    452, Loss  0.606871, Average Loss  0.604765, Time  0.231651
2021-09-15 04:42:55.132785 : Epoch  5, Batch    319, Loss  0.601307, Average Loss  0.610301, Time  0.240133
2021-09-15 04:42:56.122819 : Epoch  6, Batch    453, Loss  0.613650, Average Loss  0.604863, Time  0.232502
2021-09-15 04:42:56.667106 : Epoch  5, Batch    320, Loss  0.619556, Average Loss  0.610346, Time  0.246851
2021-09-15 04:42:57.668742 : Epoch  6, Batch    454, Loss  0.599066, Average Loss  0.604921, Time  0.232217
2021-09-15 04:42:58.197194 : Epoch  5, Batch    321, Loss  0.608244, Average Loss  0.610318, Time  0.242131
2021-09-15 04:42:59.202999 : Epoch  6, Batch    455, Loss  0.601155, Average Loss  0.604953, Time  0.231026
2021-09-15 04:42:59.754447 : Epoch  5, Batch    322, Loss  0.606424, Average Loss  0.610333, Time  0.243718
2021-09-15 04:43:00.753441 : Epoch  6, Batch    456, Loss  0.610027, Average Loss  0.604960, Time  0.231278
2021-09-15 04:43:02.294389 : Epoch  6, Batch    457, Loss  0.597555, Average Loss  0.604956, Time  0.231087
2021-09-15 04:43:03.588454 : Epoch  5, Batch    323, Loss  0.617101, Average Loss  0.610393, Time  0.275142
2021-09-15 04:43:03.846145 : Epoch  6, Batch    458, Loss  0.601807, Average Loss  0.604924, Time  0.231044
2021-09-15 04:43:05.127375 : Epoch  5, Batch    324, Loss  0.614931, Average Loss  0.610412, Time  0.258485
2021-09-15 04:43:05.390220 : Epoch  6, Batch    459, Loss  0.617092, Average Loss  0.604991, Time  0.231239
2021-09-15 04:43:06.667142 : Epoch  5, Batch    325, Loss  0.616460, Average Loss  0.610478, Time  0.240708
2021-09-15 04:43:06.928986 : Epoch  6, Batch    460, Loss  0.607268, Average Loss  0.605034, Time  0.231474
2021-09-15 04:43:08.344577 : Epoch  5, Batch    326, Loss  0.609955, Average Loss  0.610452, Time  0.256260
2021-09-15 04:43:08.467994 : Epoch  6, Batch    461, Loss  0.601363, Average Loss  0.605112, Time  0.231237
2021-09-15 04:43:09.890193 : Epoch  5, Batch    327, Loss  0.607321, Average Loss  0.610493, Time  0.255625
2021-09-15 04:43:10.033689 : Epoch  6, Batch    462, Loss  0.601824, Average Loss  0.605080, Time  0.232576
2021-09-15 04:43:11.573072 : Epoch  5, Batch    328, Loss  0.603972, Average Loss  0.610454, Time  0.257335
2021-09-15 04:43:11.611892 : Epoch  6, Batch    463, Loss  0.599552, Average Loss  0.605100, Time  0.231366
2021-09-15 04:43:13.175055 : Epoch  6, Batch    464, Loss  0.612854, Average Loss  0.605100, Time  0.231835
2021-09-15 04:43:13.267076 : Epoch  5, Batch    329, Loss  0.602511, Average Loss  0.610427, Time  0.260222
2021-09-15 04:43:14.726933 : Epoch  6, Batch    465, Loss  0.602646, Average Loss  0.605036, Time  0.231478
2021-09-15 04:43:14.952997 : Epoch  5, Batch    330, Loss  0.620708, Average Loss  0.610472, Time  0.257851
2021-09-15 04:43:16.644904 : Epoch  5, Batch    331, Loss  0.615893, Average Loss  0.610489, Time  0.261158
2021-09-15 04:43:18.326082 : Epoch  5, Batch    332, Loss  0.602779, Average Loss  0.610469, Time  0.257068
2021-09-15 04:43:19.877851 : Epoch  5, Batch    333, Loss  0.607211, Average Loss  0.610426, Time  0.240652
2021-09-15 04:43:21.580007 : Epoch  5, Batch    334, Loss  0.603570, Average Loss  0.610341, Time  0.260510
2021-09-15 04:43:23.282209 : Epoch  5, Batch    335, Loss  0.603315, Average Loss  0.610343, Time  0.260937
2021-09-15 04:43:24.961331 : Epoch  5, Batch    336, Loss  0.611196, Average Loss  0.610311, Time  0.257332
2021-09-15 04:43:26.674663 : Epoch  5, Batch    337, Loss  0.616842, Average Loss  0.610341, Time  0.259599
2021-09-15 04:43:28.340898 : Epoch  5, Batch    338, Loss  0.614165, Average Loss  0.610303, Time  0.238872
2021-09-15 04:43:29.871870 : Epoch  5, Batch    339, Loss  0.612992, Average Loss  0.610320, Time  0.238498
2021-09-15 04:43:31.417428 : Epoch  5, Batch    340, Loss  0.608539, Average Loss  0.610291, Time  0.241722
2021-09-15 04:43:32.943981 : Epoch  5, Batch    341, Loss  0.601091, Average Loss  0.610230, Time  0.239577
2021-09-15 04:43:34.469368 : Epoch  5, Batch    342, Loss  0.605911, Average Loss  0.610270, Time  0.239082
2021-09-15 04:43:35.990981 : Epoch  5, Batch    343, Loss  0.606871, Average Loss  0.610236, Time  0.240478
2021-09-15 04:43:37.533186 : Epoch  5, Batch    344, Loss  0.607421, Average Loss  0.610184, Time  0.241897
2021-09-15 04:43:39.074130 : Epoch  5, Batch    345, Loss  0.600062, Average Loss  0.610128, Time  0.238648
2021-09-15 04:43:40.679390 : Epoch  5, Batch    346, Loss  0.607743, Average Loss  0.610065, Time  0.247315
2021-09-15 04:43:42.212845 : Epoch  5, Batch    347, Loss  0.617659, Average Loss  0.610133, Time  0.239093
2021-09-15 04:43:43.744933 : Epoch  5, Batch    348, Loss  0.612103, Average Loss  0.610139, Time  0.238451
2021-09-15 04:43:45.263638 : Epoch  5, Batch    349, Loss  0.614329, Average Loss  0.610158, Time  0.240313
2021-09-15 04:43:46.821854 : Epoch  5, Batch    350, Loss  0.611305, Average Loss  0.610145, Time  0.243762
2021-09-15 04:43:48.360375 : Epoch  5, Batch    351, Loss  0.601999, Average Loss  0.610142, Time  0.240122
2021-09-15 04:43:50.060869 : Epoch  5, Batch    352, Loss  0.615925, Average Loss  0.610167, Time  0.261440
2021-09-15 04:44:12.890743 : CheckPoint: Validation Loss  0.00025168, Best Loss  0.00024571
2021-09-15 04:44:14.448055 : Epoch  6, Batch    466, Loss  0.605912, Average Loss  0.605080, Time  0.233295
2021-09-15 04:44:16.012277 : Epoch  6, Batch    467, Loss  0.603801, Average Loss  0.605063, Time  0.231190
2021-09-15 04:44:17.571164 : Epoch  6, Batch    468, Loss  0.599532, Average Loss  0.605000, Time  0.231062
2021-09-15 04:44:19.124346 : Epoch  6, Batch    469, Loss  0.602404, Average Loss  0.604979, Time  0.231320
2021-09-15 04:44:20.673654 : Epoch  6, Batch    470, Loss  0.596965, Average Loss  0.604971, Time  0.231055
2021-09-15 04:44:22.226001 : Epoch  6, Batch    471, Loss  0.600109, Average Loss  0.604948, Time  0.231422
2021-09-15 04:44:23.776686 : Epoch  6, Batch    472, Loss  0.607766, Average Loss  0.604939, Time  0.232851
2021-09-15 04:44:25.341364 : Epoch  6, Batch    473, Loss  0.599104, Average Loss  0.604885, Time  0.234564
2021-09-15 04:44:26.895185 : Epoch  6, Batch    474, Loss  0.601956, Average Loss  0.604868, Time  0.231481
2021-09-15 04:44:28.450859 : Epoch  6, Batch    475, Loss  0.613671, Average Loss  0.604964, Time  0.231802
2021-09-15 04:44:30.006289 : Epoch  6, Batch    476, Loss  0.606095, Average Loss  0.604876, Time  0.231262
2021-09-15 04:44:31.547629 : Epoch  6, Batch    477, Loss  0.617216, Average Loss  0.604915, Time  0.231892
2021-09-15 04:44:33.105063 : Epoch  6, Batch    478, Loss  0.600284, Average Loss  0.604890, Time  0.231936
2021-09-15 04:44:34.654066 : Epoch  6, Batch    479, Loss  0.615054, Average Loss  0.604898, Time  0.231318
2021-09-15 04:44:36.225939 : Epoch  6, Batch    480, Loss  0.605287, Average Loss  0.604911, Time  0.232609
2021-09-15 04:44:37.776396 : Epoch  6, Batch    481, Loss  0.613921, Average Loss  0.604932, Time  0.231080
2021-09-15 04:44:39.329142 : Epoch  6, Batch    482, Loss  0.606036, Average Loss  0.604947, Time  0.231812
2021-09-15 04:44:40.888191 : Epoch  6, Batch    483, Loss  0.611106, Average Loss  0.605055, Time  0.231854
2021-09-15 04:44:42.433673 : Epoch  6, Batch    484, Loss  0.607529, Average Loss  0.605094, Time  0.231779
2021-09-15 04:44:43.992408 : Epoch  6, Batch    485, Loss  0.611373, Average Loss  0.605121, Time  0.230981
2021-09-15 04:44:45.541004 : Epoch  6, Batch    486, Loss  0.599794, Average Loss  0.605122, Time  0.231217
2021-09-15 04:44:47.009698 : CheckPoint: Validation Loss  0.00025173, Best Loss  0.00024716
2021-09-15 04:44:47.098816 : Epoch  6, Batch    487, Loss  0.600179, Average Loss  0.605170, Time  0.231564
2021-09-15 04:44:48.546927 : Epoch  5, Batch    353, Loss  0.607684, Average Loss  0.610108, Time  0.240858
2021-09-15 04:44:48.671409 : Epoch  6, Batch    488, Loss  0.593301, Average Loss  0.605096, Time  0.231878
2021-09-15 04:44:50.087001 : Epoch  5, Batch    354, Loss  0.616753, Average Loss  0.610107, Time  0.241176
2021-09-15 04:44:50.223114 : Epoch  6, Batch    489, Loss  0.603126, Average Loss  0.605048, Time  0.231322
2021-09-15 04:44:51.622404 : Epoch  5, Batch    355, Loss  0.610730, Average Loss  0.610105, Time  0.240624
2021-09-15 04:44:51.772424 : Epoch  6, Batch    490, Loss  0.607194, Average Loss  0.605101, Time  0.231085
2021-09-15 04:44:53.143889 : Epoch  5, Batch    356, Loss  0.613310, Average Loss  0.610092, Time  0.240963
2021-09-15 04:44:53.328167 : Epoch  6, Batch    491, Loss  0.604208, Average Loss  0.605078, Time  0.231095
2021-09-15 04:44:54.683848 : Epoch  5, Batch    357, Loss  0.610549, Average Loss  0.610126, Time  0.239344
2021-09-15 04:44:54.873528 : Epoch  6, Batch    492, Loss  0.609381, Average Loss  0.605055, Time  0.231317
2021-09-15 04:44:56.217837 : Epoch  5, Batch    358, Loss  0.608501, Average Loss  0.610130, Time  0.241247
2021-09-15 04:44:56.412605 : Epoch  6, Batch    493, Loss  0.603436, Average Loss  0.605049, Time  0.231389
2021-09-15 04:44:57.745008 : Epoch  5, Batch    359, Loss  0.612313, Average Loss  0.610082, Time  0.241033
2021-09-15 04:44:57.961112 : Epoch  6, Batch    494, Loss  0.610731, Average Loss  0.605132, Time  0.231811
2021-09-15 04:44:59.448883 : Epoch  5, Batch    360, Loss  0.614947, Average Loss  0.610072, Time  0.261492
2021-09-15 04:44:59.507956 : Epoch  6, Batch    495, Loss  0.617048, Average Loss  0.605169, Time  0.231736
2021-09-15 04:45:01.068394 : Epoch  6, Batch    496, Loss  0.610151, Average Loss  0.605212, Time  0.231267
2021-09-15 04:45:01.129803 : Epoch  5, Batch    361, Loss  0.598132, Average Loss  0.609984, Time  0.260428
2021-09-15 04:45:02.624676 : Epoch  6, Batch    497, Loss  0.604903, Average Loss  0.605159, Time  0.231643
2021-09-15 04:45:02.823401 : Epoch  5, Batch    362, Loss  0.603534, Average Loss  0.609898, Time  0.258769
2021-09-15 04:45:04.182430 : Epoch  6, Batch    498, Loss  0.605313, Average Loss  0.605157, Time  0.232814
2021-09-15 04:45:04.508926 : Epoch  5, Batch    363, Loss  0.612645, Average Loss  0.609972, Time  0.258368
2021-09-15 04:45:05.752985 : Epoch  6, Batch    499, Loss  0.607771, Average Loss  0.605194, Time  0.231951
2021-09-15 04:45:06.051447 : Epoch  5, Batch    364, Loss  0.617954, Average Loss  0.610080, Time  0.239304
2021-09-15 04:45:07.307153 : Epoch  6, Batch    500, Loss  0.604573, Average Loss  0.605141, Time  0.231274
2021-09-15 04:45:07.584786 : Epoch  5, Batch    365, Loss  0.614445, Average Loss  0.610059, Time  0.239614
2021-09-15 04:45:08.856204 : Epoch  6, Batch    501, Loss  0.598877, Average Loss  0.605124, Time  0.231559
2021-09-15 04:45:09.106313 : Epoch  5, Batch    366, Loss  0.613285, Average Loss  0.610045, Time  0.237247
2021-09-15 04:45:10.404391 : Epoch  6, Batch    502, Loss  0.613955, Average Loss  0.605180, Time  0.231313
2021-09-15 04:45:10.640393 : Epoch  5, Batch    367, Loss  0.618309, Average Loss  0.610094, Time  0.239778
2021-09-15 04:45:11.974396 : Epoch  6, Batch    503, Loss  0.613048, Average Loss  0.605229, Time  0.231399
2021-09-15 04:45:12.172885 : Epoch  5, Batch    368, Loss  0.609824, Average Loss  0.610045, Time  0.239598
2021-09-15 04:45:13.535937 : Epoch  6, Batch    504, Loss  0.626332, Average Loss  0.605284, Time  0.231030
2021-09-15 04:45:13.697810 : Epoch  5, Batch    369, Loss  0.592987, Average Loss  0.609956, Time  0.237899
2021-09-15 04:45:15.083002 : Epoch  6, Batch    505, Loss  0.601720, Average Loss  0.605285, Time  0.231305
2021-09-15 04:45:15.214821 : Epoch  5, Batch    370, Loss  0.602108, Average Loss  0.609948, Time  0.238226
2021-09-15 04:45:16.630177 : Epoch  6, Batch    506, Loss  0.613577, Average Loss  0.605336, Time  0.231267
2021-09-15 04:45:16.738159 : Epoch  5, Batch    371, Loss  0.607372, Average Loss  0.609933, Time  0.239397
2021-09-15 04:45:18.176964 : Epoch  6, Batch    507, Loss  0.596528, Average Loss  0.605268, Time  0.231544
2021-09-15 04:45:18.286921 : Epoch  5, Batch    372, Loss  0.602065, Average Loss  0.609913, Time  0.238760
2021-09-15 04:45:19.734886 : Epoch  6, Batch    508, Loss  0.593102, Average Loss  0.605204, Time  0.239344
2021-09-15 04:45:19.806756 : Epoch  5, Batch    373, Loss  0.616510, Average Loss  0.609914, Time  0.238526
2021-09-15 04:45:21.279141 : Epoch  6, Batch    509, Loss  0.608723, Average Loss  0.605180, Time  0.231427
2021-09-15 04:45:21.347030 : Epoch  5, Batch    374, Loss  0.610146, Average Loss  0.609885, Time  0.240685
2021-09-15 04:45:22.834653 : Epoch  6, Batch    510, Loss  0.606084, Average Loss  0.605202, Time  0.231274
2021-09-15 04:45:23.048006 : Epoch  5, Batch    375, Loss  0.617092, Average Loss  0.609866, Time  0.259293
2021-09-15 04:45:24.378877 : Epoch  6, Batch    511, Loss  0.605887, Average Loss  0.605189, Time  0.231368
2021-09-15 04:45:24.574301 : Epoch  5, Batch    376, Loss  0.607991, Average Loss  0.609850, Time  0.239768
2021-09-15 04:45:25.929984 : Epoch  6, Batch    512, Loss  0.602785, Average Loss  0.605191, Time  0.231110
2021-09-15 04:45:26.098778 : Epoch  5, Batch    377, Loss  0.600865, Average Loss  0.609805, Time  0.238840
2021-09-15 04:45:27.490165 : Epoch  6, Batch    513, Loss  0.588543, Average Loss  0.605123, Time  0.233070
2021-09-15 04:45:27.623026 : Epoch  5, Batch    378, Loss  0.598228, Average Loss  0.609775, Time  0.238553
2021-09-15 04:45:29.045394 : Epoch  6, Batch    514, Loss  0.600260, Average Loss  0.605125, Time  0.231358
2021-09-15 04:45:29.155859 : Epoch  5, Batch    379, Loss  0.617436, Average Loss  0.609742, Time  0.240025
2021-09-15 04:45:30.601621 : Epoch  6, Batch    515, Loss  0.603347, Average Loss  0.605043, Time  0.231839
2021-09-15 04:45:30.692152 : Epoch  5, Batch    380, Loss  0.614819, Average Loss  0.609747, Time  0.242137
2021-09-15 04:45:32.153084 : Epoch  6, Batch    516, Loss  0.605611, Average Loss  0.605011, Time  0.232081
2021-09-15 04:45:32.219548 : Epoch  5, Batch    381, Loss  0.614767, Average Loss  0.609769, Time  0.239917
2021-09-15 04:45:33.704349 : Epoch  6, Batch    517, Loss  0.609499, Average Loss  0.605052, Time  0.230971
2021-09-15 04:45:33.746184 : Epoch  5, Batch    382, Loss  0.611584, Average Loss  0.609783, Time  0.238710
2021-09-15 04:45:35.261709 : Epoch  6, Batch    518, Loss  0.602128, Average Loss  0.605074, Time  0.231380
2021-09-15 04:45:35.300791 : Epoch  5, Batch    383, Loss  0.599823, Average Loss  0.609718, Time  0.238899
2021-09-15 04:45:36.813873 : Epoch  6, Batch    519, Loss  0.596676, Average Loss  0.605029, Time  0.231467
2021-09-15 04:45:36.848847 : Epoch  5, Batch    384, Loss  0.602778, Average Loss  0.609711, Time  0.238682
2021-09-15 04:45:38.374572 : Epoch  6, Batch    520, Loss  0.609547, Average Loss  0.605080, Time  0.232421
2021-09-15 04:45:38.414818 : Epoch  5, Batch    385, Loss  0.612775, Average Loss  0.609688, Time  0.243072
2021-09-15 04:45:39.932118 : Epoch  6, Batch    521, Loss  0.585404, Average Loss  0.605012, Time  0.231578
2021-09-15 04:45:39.968362 : Epoch  5, Batch    386, Loss  0.608596, Average Loss  0.609744, Time  0.238690
2021-09-15 04:45:41.487067 : Epoch  6, Batch    522, Loss  0.605761, Average Loss  0.605017, Time  0.231342
2021-09-15 04:45:41.524263 : Epoch  5, Batch    387, Loss  0.618314, Average Loss  0.609820, Time  0.241040
2021-09-15 04:45:43.032058 : Epoch  6, Batch    523, Loss  0.600174, Average Loss  0.604998, Time  0.231519
2021-09-15 04:45:43.068850 : Epoch  5, Batch    388, Loss  0.613141, Average Loss  0.609813, Time  0.238461
2021-09-15 04:45:44.575704 : Epoch  6, Batch    524, Loss  0.618886, Average Loss  0.605001, Time  0.231531
2021-09-15 04:45:44.615836 : Epoch  5, Batch    389, Loss  0.606450, Average Loss  0.609763, Time  0.238279
2021-09-15 04:45:46.123974 : Epoch  6, Batch    525, Loss  0.604617, Average Loss  0.604990, Time  0.231111
2021-09-15 04:45:46.303639 : Epoch  5, Batch    390, Loss  0.606438, Average Loss  0.609768, Time  0.260749
2021-09-15 04:45:47.681869 : Epoch  6, Batch    526, Loss  0.602301, Average Loss  0.604987, Time  0.232147
2021-09-15 04:45:47.991783 : Epoch  5, Batch    391, Loss  0.598334, Average Loss  0.609696, Time  0.258088
2021-09-15 04:45:49.236111 : Epoch  6, Batch    527, Loss  0.595959, Average Loss  0.604912, Time  0.231422
2021-09-15 04:45:49.510410 : Epoch  5, Batch    392, Loss  0.621151, Average Loss  0.609717, Time  0.238208
2021-09-15 04:45:50.794851 : Epoch  6, Batch    528, Loss  0.603280, Average Loss  0.604883, Time  0.231422
2021-09-15 04:45:51.020788 : Epoch  5, Batch    393, Loss  0.597405, Average Loss  0.609694, Time  0.237670
2021-09-15 04:45:52.345245 : Epoch  6, Batch    529, Loss  0.599127, Average Loss  0.604859, Time  0.232072
2021-09-15 04:45:52.553131 : Epoch  5, Batch    394, Loss  0.597529, Average Loss  0.609635, Time  0.242390
2021-09-15 04:45:53.899838 : Epoch  6, Batch    530, Loss  0.605927, Average Loss  0.604907, Time  0.231056
2021-09-15 04:45:54.095572 : Epoch  5, Batch    395, Loss  0.612362, Average Loss  0.609618, Time  0.239544
2021-09-15 04:45:55.451347 : Epoch  6, Batch    531, Loss  0.602839, Average Loss  0.604929, Time  0.231143
2021-09-15 04:45:55.617096 : Epoch  5, Batch    396, Loss  0.614861, Average Loss  0.609645, Time  0.236906
2021-09-15 04:45:57.012106 : Epoch  6, Batch    532, Loss  0.606918, Average Loss  0.604961, Time  0.231825
2021-09-15 04:45:57.141560 : Epoch  5, Batch    397, Loss  0.606593, Average Loss  0.609587, Time  0.238770
2021-09-15 04:45:58.563275 : Epoch  6, Batch    533, Loss  0.606207, Average Loss  0.604901, Time  0.231186
2021-09-15 04:45:58.677223 : Epoch  5, Batch    398, Loss  0.601003, Average Loss  0.609540, Time  0.239960
2021-09-15 04:46:00.117119 : Epoch  6, Batch    534, Loss  0.599622, Average Loss  0.604851, Time  0.232247
2021-09-15 04:46:00.217887 : Epoch  5, Batch    399, Loss  0.611849, Average Loss  0.609494, Time  0.240106
2021-09-15 04:46:01.679362 : Epoch  6, Batch    535, Loss  0.620691, Average Loss  0.604898, Time  0.231131
2021-09-15 04:46:01.756038 : Epoch  5, Batch    400, Loss  0.599478, Average Loss  0.609393, Time  0.238305
2021-09-15 04:46:03.283008 : Epoch  5, Batch    401, Loss  0.601020, Average Loss  0.609384, Time  0.237420
2021-09-15 04:46:04.815787 : Epoch  5, Batch    402, Loss  0.606928, Average Loss  0.609346, Time  0.240856
2021-09-15 04:46:05.572894 : Epoch  6, Batch    536, Loss  0.609181, Average Loss  0.604928, Time  0.267477
2021-09-15 04:46:06.350951 : Epoch  5, Batch    403, Loss  0.611736, Average Loss  0.609294, Time  0.238715
2021-09-15 04:46:07.115599 : Epoch  6, Batch    537, Loss  0.603666, Average Loss  0.604891, Time  0.231106
2021-09-15 04:46:08.048453 : Epoch  5, Batch    404, Loss  0.603934, Average Loss  0.609215, Time  0.260599
2021-09-15 04:46:08.654409 : Epoch  6, Batch    538, Loss  0.609015, Average Loss  0.604936, Time  0.233730
2021-09-15 04:46:09.724688 : Epoch  5, Batch    405, Loss  0.615877, Average Loss  0.609265, Time  0.257695
2021-09-15 04:46:10.191795 : Epoch  6, Batch    539, Loss  0.606353, Average Loss  0.604916, Time  0.231033
2021-09-15 04:46:11.405345 : Epoch  5, Batch    406, Loss  0.605139, Average Loss  0.609288, Time  0.258482
2021-09-15 04:46:11.731201 : Epoch  6, Batch    540, Loss  0.594976, Average Loss  0.604872, Time  0.231134
2021-09-15 04:46:12.929816 : Epoch  5, Batch    407, Loss  0.603848, Average Loss  0.609237, Time  0.240599
2021-09-15 04:46:13.273975 : Epoch  6, Batch    541, Loss  0.589816, Average Loss  0.604751, Time  0.231181
2021-09-15 04:46:14.471087 : Epoch  5, Batch    408, Loss  0.620043, Average Loss  0.609278, Time  0.239798
2021-09-15 04:46:14.817734 : Epoch  6, Batch    542, Loss  0.604884, Average Loss  0.604685, Time  0.231891
2021-09-15 04:46:16.174501 : Epoch  5, Batch    409, Loss  0.607508, Average Loss  0.609267, Time  0.257710
2021-09-15 04:46:16.357190 : Epoch  6, Batch    543, Loss  0.603661, Average Loss  0.604619, Time  0.231256
2021-09-15 04:46:17.698852 : Epoch  5, Batch    410, Loss  0.613555, Average Loss  0.609310, Time  0.239083
2021-09-15 04:46:17.902417 : Epoch  6, Batch    544, Loss  0.605020, Average Loss  0.604635, Time  0.231275
2021-09-15 04:46:19.226127 : Epoch  5, Batch    411, Loss  0.600429, Average Loss  0.609333, Time  0.237664
2021-09-15 04:46:19.437183 : Epoch  6, Batch    545, Loss  0.602500, Average Loss  0.604581, Time  0.231910
2021-09-15 04:46:20.748507 : Epoch  5, Batch    412, Loss  0.604021, Average Loss  0.609364, Time  0.238545
2021-09-15 04:46:20.996421 : Epoch  6, Batch    546, Loss  0.596348, Average Loss  0.604537, Time  0.231892
2021-09-15 04:46:22.298475 : Epoch  5, Batch    413, Loss  0.605534, Average Loss  0.609351, Time  0.240790
2021-09-15 04:46:22.541062 : Epoch  6, Batch    547, Loss  0.595758, Average Loss  0.604516, Time  0.231478
2021-09-15 04:46:23.824057 : Epoch  5, Batch    414, Loss  0.610516, Average Loss  0.609418, Time  0.238155
2021-09-15 04:46:24.081367 : Epoch  6, Batch    548, Loss  0.607288, Average Loss  0.604468, Time  0.231545
2021-09-15 04:46:25.350361 : Epoch  5, Batch    415, Loss  0.613068, Average Loss  0.609408, Time  0.238838
2021-09-15 04:46:25.627323 : Epoch  6, Batch    549, Loss  0.604120, Average Loss  0.604464, Time  0.231536
2021-09-15 04:46:26.864438 : Epoch  5, Batch    416, Loss  0.614503, Average Loss  0.609428, Time  0.238062
2021-09-15 04:46:27.164025 : Epoch  6, Batch    550, Loss  0.592542, Average Loss  0.604393, Time  0.231303
2021-09-15 04:46:27.631996 : CheckPoint: Validation Loss  0.00030744, Best Loss  0.00029921
2021-09-15 04:46:28.407440 : Epoch  5, Batch    417, Loss  0.616690, Average Loss  0.609469, Time  0.241513
2021-09-15 04:46:28.705407 : Epoch  6, Batch    551, Loss  0.600341, Average Loss  0.604375, Time  0.230912
2021-09-15 04:46:29.927929 : Epoch  5, Batch    418, Loss  0.600637, Average Loss  0.609458, Time  0.238219
2021-09-15 04:46:30.251592 : Epoch  6, Batch    552, Loss  0.612062, Average Loss  0.604437, Time  0.231152
2021-09-15 04:46:30.655686 : Epoch  1, Batch   1601, Loss  0.881529, Average Loss  0.875065, Time  0.267149
2021-09-15 04:46:31.451424 : Epoch  5, Batch    419, Loss  0.602547, Average Loss  0.609433, Time  0.238945
2021-09-15 04:46:31.790303 : Epoch  6, Batch    553, Loss  0.608480, Average Loss  0.604459, Time  0.231619
2021-09-15 04:46:32.972854 : Epoch  5, Batch    420, Loss  0.611756, Average Loss  0.609419, Time  0.238787
2021-09-15 04:46:33.333969 : Epoch  6, Batch    554, Loss  0.609055, Average Loss  0.604537, Time  0.231707
2021-09-15 04:46:33.691335 : Epoch  1, Batch   1602, Loss  0.866619, Average Loss  0.874911, Time  0.265443
2021-09-15 04:46:34.570981 : Epoch  5, Batch    421, Loss  0.613462, Average Loss  0.609440, Time  0.240200
2021-09-15 04:46:34.883386 : Epoch  6, Batch    555, Loss  0.616238, Average Loss  0.604615, Time  0.231868
2021-09-15 04:46:36.273119 : Epoch  5, Batch    422, Loss  0.600422, Average Loss  0.609359, Time  0.262780
2021-09-15 04:46:36.435996 : Epoch  6, Batch    556, Loss  0.592651, Average Loss  0.604577, Time  0.232518
2021-09-15 04:46:36.645189 : Epoch  1, Batch   1603, Loss  0.875864, Average Loss  0.874945, Time  0.264519
2021-09-15 04:46:37.982333 : Epoch  6, Batch    557, Loss  0.610479, Average Loss  0.604674, Time  0.231548
2021-09-15 04:46:39.527232 : Epoch  6, Batch    558, Loss  0.598555, Average Loss  0.604666, Time  0.232093
2021-09-15 04:46:39.635916 : Epoch  1, Batch   1604, Loss  0.867978, Average Loss  0.874893, Time  0.265275
2021-09-15 04:46:40.105678 : Epoch  5, Batch    423, Loss  0.601919, Average Loss  0.609323, Time  0.266529
2021-09-15 04:46:41.080226 : Epoch  6, Batch    559, Loss  0.600031, Average Loss  0.604664, Time  0.231097
2021-09-15 04:46:41.661544 : Epoch  5, Batch    424, Loss  0.624615, Average Loss  0.609368, Time  0.247594
2021-09-15 04:46:42.635232 : Epoch  6, Batch    560, Loss  0.601270, Average Loss  0.604646, Time  0.231923
2021-09-15 04:46:42.647573 : Epoch  1, Batch   1605, Loss  0.887605, Average Loss  0.874985, Time  0.272701
2021-09-15 04:46:43.190221 : Epoch  5, Batch    425, Loss  0.609150, Average Loss  0.609408, Time  0.237878
2021-09-15 04:46:44.182063 : Epoch  6, Batch    561, Loss  0.610205, Average Loss  0.604619, Time  0.231956
2021-09-15 04:46:44.712034 : Epoch  5, Batch    426, Loss  0.607803, Average Loss  0.609441, Time  0.240178
2021-09-15 04:46:45.661853 : Epoch  1, Batch   1606, Loss  0.875719, Average Loss  0.874996, Time  0.264956
2021-09-15 04:46:45.728186 : Epoch  6, Batch    562, Loss  0.599060, Average Loss  0.604577, Time  0.231617
2021-09-15 04:46:46.262882 : Epoch  5, Batch    427, Loss  0.602020, Average Loss  0.609358, Time  0.239372
2021-09-15 04:46:47.284767 : Epoch  6, Batch    563, Loss  0.601134, Average Loss  0.604609, Time  0.231926
2021-09-15 04:46:47.805083 : Epoch  5, Batch    428, Loss  0.605089, Average Loss  0.609288, Time  0.241405
2021-09-15 04:46:48.656994 : Epoch  1, Batch   1607, Loss  0.876033, Average Loss  0.875128, Time  0.264312
2021-09-15 04:46:48.849802 : Epoch  6, Batch    564, Loss  0.608557, Average Loss  0.604618, Time  0.231331
2021-09-15 04:46:49.315401 : Epoch  5, Batch    429, Loss  0.604833, Average Loss  0.609263, Time  0.238837
2021-09-15 04:46:50.378777 : Epoch  6, Batch    565, Loss  0.600981, Average Loss  0.604597, Time  0.231449
2021-09-15 04:46:50.818786 : Epoch  5, Batch    430, Loss  0.619171, Average Loss  0.609324, Time  0.239645
2021-09-15 04:46:51.663763 : Epoch  1, Batch   1608, Loss  0.870912, Average Loss  0.875071, Time  0.266699
2021-09-15 04:46:52.344935 : Epoch  5, Batch    431, Loss  0.610039, Average Loss  0.609302, Time  0.240457
2021-09-15 04:46:53.868835 : Epoch  5, Batch    432, Loss  0.600361, Average Loss  0.609260, Time  0.240601
2021-09-15 04:46:54.674421 : Epoch  1, Batch   1609, Loss  0.882452, Average Loss  0.875196, Time  0.264377
2021-09-15 04:46:55.382916 : Epoch  5, Batch    433, Loss  0.609638, Average Loss  0.609324, Time  0.237888
2021-09-15 04:46:56.900641 : Epoch  5, Batch    434, Loss  0.608930, Average Loss  0.609286, Time  0.237359
2021-09-15 04:46:57.691328 : Epoch  1, Batch   1610, Loss  0.871899, Average Loss  0.875067, Time  0.264786
2021-09-15 04:46:58.430475 : Epoch  5, Batch    435, Loss  0.612257, Average Loss  0.609326, Time  0.239058
2021-09-15 04:46:59.962427 : Epoch  5, Batch    436, Loss  0.610574, Average Loss  0.609361, Time  0.241529
2021-09-15 04:47:00.678705 : Epoch  1, Batch   1611, Loss  0.882797, Average Loss  0.875104, Time  0.265001
2021-09-15 04:47:01.490897 : Epoch  5, Batch    437, Loss  0.617197, Average Loss  0.609404, Time  0.242718
2021-09-15 04:47:03.014830 : Epoch  5, Batch    438, Loss  0.609085, Average Loss  0.609341, Time  0.240613
2021-09-15 04:47:03.680501 : Epoch  1, Batch   1612, Loss  0.861130, Average Loss  0.875054, Time  0.265114
2021-09-15 04:47:04.547820 : Epoch  5, Batch    439, Loss  0.609651, Average Loss  0.609321, Time  0.240785
2021-09-15 04:47:06.085433 : Epoch  5, Batch    440, Loss  0.604054, Average Loss  0.609241, Time  0.241786
2021-09-15 04:47:06.715798 : Epoch  1, Batch   1613, Loss  0.864293, Average Loss  0.875016, Time  0.265401
2021-09-15 04:47:07.611367 : Epoch  5, Batch    441, Loss  0.610473, Average Loss  0.609270, Time  0.240530
2021-09-15 04:47:09.131069 : Epoch  5, Batch    442, Loss  0.611503, Average Loss  0.609325, Time  0.241596
2021-09-15 04:47:09.703487 : Epoch  1, Batch   1614, Loss  0.884829, Average Loss  0.875044, Time  0.264724
2021-09-15 04:47:10.653074 : Epoch  5, Batch    443, Loss  0.604794, Average Loss  0.609335, Time  0.238034
2021-09-15 04:47:12.190075 : Epoch  5, Batch    444, Loss  0.605878, Average Loss  0.609266, Time  0.241514
2021-09-15 04:47:12.705873 : Epoch  1, Batch   1615, Loss  0.880392, Average Loss  0.874992, Time  0.264506
2021-09-15 04:47:13.716331 : Epoch  5, Batch    445, Loss  0.600124, Average Loss  0.609245, Time  0.240917
2021-09-15 04:47:15.237590 : Epoch  5, Batch    446, Loss  0.597188, Average Loss  0.609170, Time  0.238630
2021-09-15 04:47:15.725264 : Epoch  1, Batch   1616, Loss  0.878081, Average Loss  0.874953, Time  0.264585
2021-09-15 04:47:16.921212 : Epoch  5, Batch    447, Loss  0.613345, Average Loss  0.609200, Time  0.258440
2021-09-15 04:47:18.610094 : Epoch  5, Batch    448, Loss  0.613956, Average Loss  0.609236, Time  0.259639
2021-09-15 04:47:18.718874 : Epoch  1, Batch   1617, Loss  0.876906, Average Loss  0.875002, Time  0.266649
2021-09-15 04:47:20.138368 : Epoch  5, Batch    449, Loss  0.605067, Average Loss  0.609173, Time  0.239887
2021-09-15 04:47:21.657823 : Epoch  5, Batch    450, Loss  0.609410, Average Loss  0.609143, Time  0.241240
2021-09-15 04:47:21.683972 : Epoch  1, Batch   1618, Loss  0.876414, Average Loss  0.874947, Time  0.264828
2021-09-15 04:47:23.190099 : Epoch  5, Batch    451, Loss  0.599027, Average Loss  0.609106, Time  0.240289
2021-09-15 04:47:24.713367 : Epoch  1, Batch   1619, Loss  0.833996, Average Loss  0.874784, Time  0.267082
2021-09-15 04:47:24.723725 : Epoch  5, Batch    452, Loss  0.624297, Average Loss  0.609182, Time  0.241404
2021-09-15 04:47:27.751837 : Epoch  1, Batch   1620, Loss  0.889391, Average Loss  0.874822, Time  0.274082
2021-09-15 04:47:30.748273 : Epoch  1, Batch   1621, Loss  0.882038, Average Loss  0.874803, Time  0.265676
2021-09-15 04:47:33.753861 : Epoch  1, Batch   1622, Loss  0.860700, Average Loss  0.874839, Time  0.264701
2021-09-15 04:47:36.755411 : Epoch  1, Batch   1623, Loss  0.868368, Average Loss  0.874743, Time  0.267042
2021-09-15 04:47:39.780491 : Epoch  1, Batch   1624, Loss  0.864291, Average Loss  0.874734, Time  0.264912
2021-09-15 04:47:42.795027 : Epoch  1, Batch   1625, Loss  0.890600, Average Loss  0.874821, Time  0.264817
2021-09-15 04:47:45.807761 : Epoch  1, Batch   1626, Loss  0.869449, Average Loss  0.874752, Time  0.265095
2021-09-15 04:47:48.096738 : CheckPoint: Validation Loss  0.00024679, Best Loss  0.00024571
2021-09-15 04:47:48.829304 : Epoch  1, Batch   1627, Loss  0.870156, Average Loss  0.874685, Time  0.264865
2021-09-15 04:47:49.637180 : Epoch  6, Batch    566, Loss  0.615576, Average Loss  0.604679, Time  0.237274
2021-09-15 04:47:51.170111 : Epoch  6, Batch    567, Loss  0.594582, Average Loss  0.604595, Time  0.231099
2021-09-15 04:47:51.809394 : Epoch  1, Batch   1628, Loss  0.886597, Average Loss  0.874891, Time  0.264668
2021-09-15 04:47:52.717191 : Epoch  6, Batch    568, Loss  0.606443, Average Loss  0.604560, Time  0.232096
2021-09-15 04:47:54.269240 : Epoch  6, Batch    569, Loss  0.599301, Average Loss  0.604537, Time  0.231898
2021-09-15 04:47:54.802923 : Epoch  1, Batch   1629, Loss  0.875796, Average Loss  0.874850, Time  0.264453
2021-09-15 04:47:55.811992 : Epoch  6, Batch    570, Loss  0.603536, Average Loss  0.604514, Time  0.231083
2021-09-15 04:47:57.354185 : Epoch  6, Batch    571, Loss  0.615853, Average Loss  0.604558, Time  0.231373
2021-09-15 04:47:57.810395 : Epoch  1, Batch   1630, Loss  0.884134, Average Loss  0.874931, Time  0.266464
2021-09-15 04:47:58.899637 : Epoch  6, Batch    572, Loss  0.603032, Average Loss  0.604534, Time  0.231086
2021-09-15 04:48:00.454090 : Epoch  6, Batch    573, Loss  0.606256, Average Loss  0.604577, Time  0.231707
2021-09-15 04:48:00.796047 : Epoch  1, Batch   1631, Loss  0.872017, Average Loss  0.874928, Time  0.264323
2021-09-15 04:48:02.000010 : Epoch  6, Batch    574, Loss  0.603997, Average Loss  0.604617, Time  0.231086
2021-09-15 04:48:03.550610 : Epoch  6, Batch    575, Loss  0.604790, Average Loss  0.604609, Time  0.231209
2021-09-15 04:48:03.772880 : Epoch  1, Batch   1632, Loss  0.869373, Average Loss  0.874867, Time  0.264916
2021-09-15 04:48:05.095900 : Epoch  6, Batch    576, Loss  0.596428, Average Loss  0.604527, Time  0.231671
2021-09-15 04:48:06.649007 : Epoch  6, Batch    577, Loss  0.599737, Average Loss  0.604557, Time  0.230926
2021-09-15 04:48:06.747615 : Epoch  1, Batch   1633, Loss  0.874302, Average Loss  0.874786, Time  0.264260
2021-09-15 04:48:08.195983 : Epoch  6, Batch    578, Loss  0.605074, Average Loss  0.604571, Time  0.231069
2021-09-15 04:48:09.709250 : Epoch  1, Batch   1634, Loss  0.839597, Average Loss  0.874619, Time  0.265382
2021-09-15 04:48:09.747869 : Epoch  6, Batch    579, Loss  0.602745, Average Loss  0.604568, Time  0.231322
2021-09-15 04:48:11.281095 : Epoch  6, Batch    580, Loss  0.598177, Average Loss  0.604562, Time  0.231590
2021-09-15 04:48:12.741012 : Epoch  1, Batch   1635, Loss  0.882959, Average Loss  0.874762, Time  0.271622
2021-09-15 04:48:12.832396 : Epoch  6, Batch    581, Loss  0.607618, Average Loss  0.604630, Time  0.231053
2021-09-15 04:48:14.374104 : Epoch  6, Batch    582, Loss  0.608398, Average Loss  0.604696, Time  0.231939
2021-09-15 04:48:15.789631 : Epoch  1, Batch   1636, Loss  0.873532, Average Loss  0.874814, Time  0.265856
2021-09-15 04:48:15.944395 : Epoch  6, Batch    583, Loss  0.608695, Average Loss  0.604713, Time  0.232580
2021-09-15 04:48:17.477407 : Epoch  6, Batch    584, Loss  0.611154, Average Loss  0.604732, Time  0.231696
2021-09-15 04:48:18.824641 : Epoch  1, Batch   1637, Loss  0.867336, Average Loss  0.874711, Time  0.265504
2021-09-15 04:48:19.022943 : Epoch  6, Batch    585, Loss  0.607020, Average Loss  0.604742, Time  0.231071
2021-09-15 04:48:20.558639 : Epoch  6, Batch    586, Loss  0.610628, Average Loss  0.604769, Time  0.231350
2021-09-15 04:48:21.457709 : CheckPoint: Validation Loss  0.00026829, Best Loss  0.00024716
2021-09-15 04:48:21.844088 : Epoch  1, Batch   1638, Loss  0.890980, Average Loss  0.874758, Time  0.265160
2021-09-15 04:48:22.105108 : Epoch  6, Batch    587, Loss  0.603002, Average Loss  0.604781, Time  0.231416
2021-09-15 04:48:22.987501 : Epoch  5, Batch    453, Loss  0.610810, Average Loss  0.609173, Time  0.245187
2021-09-15 04:48:23.640884 : Epoch  6, Batch    588, Loss  0.606257, Average Loss  0.604771, Time  0.231226
2021-09-15 04:48:24.519842 : Epoch  5, Batch    454, Loss  0.603484, Average Loss  0.609199, Time  0.238320
2021-09-15 04:48:24.868398 : Epoch  1, Batch   1639, Loss  0.874688, Average Loss  0.874742, Time  0.267412
2021-09-15 04:48:25.180484 : Epoch  6, Batch    589, Loss  0.601590, Average Loss  0.604727, Time  0.232750
2021-09-15 04:48:26.049879 : Epoch  5, Batch    455, Loss  0.600022, Average Loss  0.609144, Time  0.236076
2021-09-15 04:48:26.724952 : Epoch  6, Batch    590, Loss  0.620560, Average Loss  0.604790, Time  0.231647
2021-09-15 04:48:27.595414 : Epoch  5, Batch    456, Loss  0.621431, Average Loss  0.609229, Time  0.238012
2021-09-15 04:48:27.895296 : Epoch  1, Batch   1640, Loss  0.867034, Average Loss  0.874734, Time  0.267325
2021-09-15 04:48:28.268786 : Epoch  6, Batch    591, Loss  0.608400, Average Loss  0.604770, Time  0.231280
2021-09-15 04:48:29.283449 : Epoch  5, Batch    457, Loss  0.617083, Average Loss  0.609250, Time  0.261706
2021-09-15 04:48:29.802934 : Epoch  6, Batch    592, Loss  0.605044, Average Loss  0.604783, Time  0.231760
2021-09-15 04:48:30.881145 : Epoch  1, Batch   1641, Loss  0.868457, Average Loss  0.874652, Time  0.264799
2021-09-15 04:48:30.997868 : Epoch  5, Batch    458, Loss  0.603612, Average Loss  0.609223, Time  0.262664
2021-09-15 04:48:31.359666 : Epoch  6, Batch    593, Loss  0.603519, Average Loss  0.604769, Time  0.231181
2021-09-15 04:48:32.682900 : Epoch  5, Batch    459, Loss  0.609718, Average Loss  0.609170, Time  0.260296
2021-09-15 04:48:32.889806 : Epoch  6, Batch    594, Loss  0.607862, Average Loss  0.604822, Time  0.230954
2021-09-15 04:48:33.876491 : Epoch  1, Batch   1642, Loss  0.879509, Average Loss  0.874690, Time  0.264049
2021-09-15 04:48:34.372562 : Epoch  5, Batch    460, Loss  0.604401, Average Loss  0.609148, Time  0.245326
2021-09-15 04:48:34.424506 : Epoch  6, Batch    595, Loss  0.593480, Average Loss  0.604815, Time  0.232252
2021-09-15 04:48:35.965322 : Epoch  6, Batch    596, Loss  0.596356, Average Loss  0.604761, Time  0.231252
2021-09-15 04:48:36.065410 : Epoch  5, Batch    461, Loss  0.611762, Average Loss  0.609164, Time  0.260929
2021-09-15 04:48:36.870331 : Epoch  1, Batch   1643, Loss  0.878665, Average Loss  0.874671, Time  0.265152
2021-09-15 04:48:37.504259 : Epoch  6, Batch    597, Loss  0.606746, Average Loss  0.604778, Time  0.231122
2021-09-15 04:48:37.745852 : Epoch  5, Batch    462, Loss  0.605732, Average Loss  0.609095, Time  0.259071
2021-09-15 04:48:39.061166 : Epoch  6, Batch    598, Loss  0.616058, Average Loss  0.604809, Time  0.231401
2021-09-15 04:48:39.421880 : Epoch  5, Batch    463, Loss  0.608944, Average Loss  0.609122, Time  0.260423
2021-09-15 04:48:39.865739 : Epoch  1, Batch   1644, Loss  0.860084, Average Loss  0.874596, Time  0.264975
2021-09-15 04:48:40.611401 : Epoch  6, Batch    599, Loss  0.600896, Average Loss  0.604790, Time  0.231210
2021-09-15 04:48:41.111949 : Epoch  5, Batch    464, Loss  0.615281, Average Loss  0.609138, Time  0.259984
2021-09-15 04:48:42.162936 : Epoch  6, Batch    600, Loss  0.599016, Average Loss  0.604758, Time  0.231555
2021-09-15 04:48:42.796952 : Epoch  5, Batch    465, Loss  0.606447, Average Loss  0.609162, Time  0.261495
2021-09-15 04:48:42.882773 : Epoch  1, Batch   1645, Loss  0.878552, Average Loss  0.874564, Time  0.265974
2021-09-15 04:48:43.708259 : Epoch  6, Batch    601, Loss  0.597856, Average Loss  0.604684, Time  0.231121
2021-09-15 04:48:44.476086 : Epoch  5, Batch    466, Loss  0.602198, Average Loss  0.609100, Time  0.257329
2021-09-15 04:48:45.255833 : Epoch  6, Batch    602, Loss  0.607502, Average Loss  0.604738, Time  0.231046
2021-09-15 04:48:45.898437 : Epoch  1, Batch   1646, Loss  0.885472, Average Loss  0.874716, Time  0.265245
2021-09-15 04:48:46.026364 : Epoch  5, Batch    467, Loss  0.591778, Average Loss  0.608959, Time  0.256115
2021-09-15 04:48:46.862959 : Epoch  6, Batch    603, Loss  0.591608, Average Loss  0.604646, Time  0.231226
2021-09-15 04:48:47.574008 : Epoch  5, Batch    468, Loss  0.606600, Average Loss  0.608932, Time  0.239768
2021-09-15 04:48:48.413626 : Epoch  6, Batch    604, Loss  0.606750, Average Loss  0.604624, Time  0.231277
2021-09-15 04:48:48.914664 : Epoch  1, Batch   1647, Loss  0.887401, Average Loss  0.874760, Time  0.265120
2021-09-15 04:48:49.117984 : Epoch  5, Batch    469, Loss  0.609431, Average Loss  0.608908, Time  0.241630
2021-09-15 04:48:49.958366 : Epoch  6, Batch    605, Loss  0.592465, Average Loss  0.604560, Time  0.230970
2021-09-15 04:48:50.649831 : Epoch  5, Batch    470, Loss  0.604758, Average Loss  0.608865, Time  0.240574
2021-09-15 04:48:51.502315 : Epoch  6, Batch    606, Loss  0.604189, Average Loss  0.604583, Time  0.231225
2021-09-15 04:48:51.932282 : Epoch  1, Batch   1648, Loss  0.887119, Average Loss  0.874764, Time  0.266382
2021-09-15 04:48:52.205808 : Epoch  5, Batch    471, Loss  0.605192, Average Loss  0.608820, Time  0.240491
2021-09-15 04:48:53.041796 : Epoch  6, Batch    607, Loss  0.604251, Average Loss  0.604571, Time  0.232443
2021-09-15 04:48:53.745771 : Epoch  5, Batch    472, Loss  0.617155, Average Loss  0.608828, Time  0.242115
2021-09-15 04:48:54.592191 : Epoch  6, Batch    608, Loss  0.589258, Average Loss  0.604428, Time  0.231549
2021-09-15 04:48:54.954013 : Epoch  1, Batch   1649, Loss  0.867364, Average Loss  0.874894, Time  0.265436
2021-09-15 04:48:55.283824 : Epoch  5, Batch    473, Loss  0.612497, Average Loss  0.608830, Time  0.241781
2021-09-15 04:48:56.139651 : Epoch  6, Batch    609, Loss  0.604301, Average Loss  0.604400, Time  0.231462
2021-09-15 04:48:56.821874 : Epoch  5, Batch    474, Loss  0.608947, Average Loss  0.608820, Time  0.240806
2021-09-15 04:48:57.686408 : Epoch  6, Batch    610, Loss  0.599873, Average Loss  0.604384, Time  0.231118
2021-09-15 04:48:57.979725 : Epoch  1, Batch   1650, Loss  0.880662, Average Loss  0.874896, Time  0.275181
2021-09-15 04:48:58.359976 : Epoch  5, Batch    475, Loss  0.613731, Average Loss  0.608827, Time  0.241487
2021-09-15 04:48:59.245149 : Epoch  6, Batch    611, Loss  0.603411, Average Loss  0.604385, Time  0.232609
2021-09-15 04:48:59.908832 : Epoch  5, Batch    476, Loss  0.617180, Average Loss  0.608917, Time  0.241185
2021-09-15 04:49:00.804680 : Epoch  6, Batch    612, Loss  0.606174, Average Loss  0.604351, Time  0.231104
2021-09-15 04:49:00.993603 : Epoch  1, Batch   1651, Loss  0.874672, Average Loss  0.874893, Time  0.265007
2021-09-15 04:49:01.448938 : Epoch  5, Batch    477, Loss  0.611144, Average Loss  0.608912, Time  0.241751
2021-09-15 04:49:02.344709 : Epoch  6, Batch    613, Loss  0.608307, Average Loss  0.604301, Time  0.230912
2021-09-15 04:49:02.989961 : Epoch  5, Batch    478, Loss  0.590983, Average Loss  0.608789, Time  0.238672
2021-09-15 04:49:03.898910 : Epoch  6, Batch    614, Loss  0.591437, Average Loss  0.604225, Time  0.231422
2021-09-15 04:49:04.005906 : Epoch  1, Batch   1652, Loss  0.881624, Average Loss  0.874910, Time  0.265326
2021-09-15 04:49:04.525574 : Epoch  5, Batch    479, Loss  0.607708, Average Loss  0.608813, Time  0.238854
2021-09-15 04:49:05.445386 : Epoch  6, Batch    615, Loss  0.595554, Average Loss  0.604219, Time  0.231232
2021-09-15 04:49:06.054846 : Epoch  5, Batch    480, Loss  0.609564, Average Loss  0.608783, Time  0.238344
2021-09-15 04:49:06.994583 : Epoch  6, Batch    616, Loss  0.602788, Average Loss  0.604252, Time  0.231254
2021-09-15 04:49:07.026337 : Epoch  1, Batch   1653, Loss  0.876684, Average Loss  0.874885, Time  0.264588
2021-09-15 04:49:07.586920 : Epoch  5, Batch    481, Loss  0.610513, Average Loss  0.608823, Time  0.238424
2021-09-15 04:49:08.542210 : Epoch  6, Batch    617, Loss  0.612494, Average Loss  0.604334, Time  0.231319
2021-09-15 04:49:09.151000 : Epoch  5, Batch    482, Loss  0.619100, Average Loss  0.608886, Time  0.242370
2021-09-15 04:49:10.039279 : Epoch  1, Batch   1654, Loss  0.880199, Average Loss  0.874691, Time  0.264254
2021-09-15 04:49:10.102692 : Epoch  6, Batch    618, Loss  0.612932, Average Loss  0.604401, Time  0.231055
2021-09-15 04:49:10.694815 : Epoch  5, Batch    483, Loss  0.604463, Average Loss  0.608854, Time  0.238703
2021-09-15 04:49:11.649219 : Epoch  6, Batch    619, Loss  0.598708, Average Loss  0.604367, Time  0.230718
2021-09-15 04:49:12.229818 : Epoch  5, Batch    484, Loss  0.610154, Average Loss  0.608874, Time  0.237621
2021-09-15 04:49:13.044806 : Epoch  1, Batch   1655, Loss  0.877724, Average Loss  0.874733, Time  0.265326
2021-09-15 04:49:13.201596 : Epoch  6, Batch    620, Loss  0.604906, Average Loss  0.604379, Time  0.230435
2021-09-15 04:49:13.780857 : Epoch  5, Batch    485, Loss  0.623335, Average Loss  0.608928, Time  0.241510
2021-09-15 04:49:14.744196 : Epoch  6, Batch    621, Loss  0.597376, Average Loss  0.604356, Time  0.231554
2021-09-15 04:49:15.333434 : Epoch  5, Batch    486, Loss  0.610053, Average Loss  0.608901, Time  0.242174
2021-09-15 04:49:16.065175 : Epoch  1, Batch   1656, Loss  0.878019, Average Loss  0.874758, Time  0.265507
2021-09-15 04:49:16.290832 : Epoch  6, Batch    622, Loss  0.598460, Average Loss  0.604370, Time  0.231596
2021-09-15 04:49:16.877015 : Epoch  5, Batch    487, Loss  0.595915, Average Loss  0.608801, Time  0.241706
2021-09-15 04:49:17.832092 : Epoch  6, Batch    623, Loss  0.584901, Average Loss  0.604265, Time  0.230922
2021-09-15 04:49:18.432896 : Epoch  5, Batch    488, Loss  0.612082, Average Loss  0.608785, Time  0.239063
2021-09-15 04:49:19.074630 : Epoch  1, Batch   1657, Loss  0.864909, Average Loss  0.874646, Time  0.266376
2021-09-15 04:49:19.376264 : Epoch  6, Batch    624, Loss  0.612922, Average Loss  0.604359, Time  0.231766
2021-09-15 04:49:20.120939 : Epoch  5, Batch    489, Loss  0.615391, Average Loss  0.608859, Time  0.258320
2021-09-15 04:49:20.921808 : Epoch  6, Batch    625, Loss  0.610352, Average Loss  0.604357, Time  0.232309
2021-09-15 04:49:21.809918 : Epoch  5, Batch    490, Loss  0.610629, Average Loss  0.608857, Time  0.257392
2021-09-15 04:49:22.066068 : Epoch  1, Batch   1658, Loss  0.879546, Average Loss  0.874638, Time  0.264703
2021-09-15 04:49:22.485006 : Epoch  6, Batch    626, Loss  0.614628, Average Loss  0.604393, Time  0.231347
2021-09-15 04:49:23.507431 : Epoch  5, Batch    491, Loss  0.598552, Average Loss  0.608807, Time  0.259862
2021-09-15 04:49:24.024677 : Epoch  6, Batch    627, Loss  0.601695, Average Loss  0.604396, Time  0.230869
2021-09-15 04:49:25.085443 : Epoch  1, Batch   1659, Loss  0.865894, Average Loss  0.874519, Time  0.265688
2021-09-15 04:49:25.213931 : Epoch  5, Batch    492, Loss  0.604544, Average Loss  0.608808, Time  0.259596
2021-09-15 04:49:25.585052 : Epoch  6, Batch    628, Loss  0.596818, Average Loss  0.604304, Time  0.231508
2021-09-15 04:49:26.919800 : Epoch  5, Batch    493, Loss  0.624934, Average Loss  0.608926, Time  0.261709
2021-09-15 04:49:27.126939 : Epoch  6, Batch    629, Loss  0.618618, Average Loss  0.604369, Time  0.232163
2021-09-15 04:49:28.093688 : Epoch  1, Batch   1660, Loss  0.894586, Average Loss  0.874658, Time  0.268102
2021-09-15 04:49:28.613236 : Epoch  5, Batch    494, Loss  0.605287, Average Loss  0.608906, Time  0.259479
2021-09-15 04:49:28.669079 : Epoch  6, Batch    630, Loss  0.614621, Average Loss  0.604455, Time  0.232154
2021-09-15 04:49:30.218053 : Epoch  6, Batch    631, Loss  0.614872, Average Loss  0.604522, Time  0.231216
2021-09-15 04:49:30.293960 : Epoch  5, Batch    495, Loss  0.604075, Average Loss  0.608912, Time  0.258826
2021-09-15 04:49:31.099844 : Epoch  1, Batch   1661, Loss  0.855522, Average Loss  0.874487, Time  0.265090
2021-09-15 04:49:31.761693 : Epoch  6, Batch    632, Loss  0.589810, Average Loss  0.604463, Time  0.232140
2021-09-15 04:49:32.005394 : Epoch  5, Batch    496, Loss  0.605863, Average Loss  0.608878, Time  0.262471
2021-09-15 04:49:33.311641 : Epoch  6, Batch    633, Loss  0.617750, Average Loss  0.604510, Time  0.231186
2021-09-15 04:49:33.692220 : Epoch  5, Batch    497, Loss  0.614650, Average Loss  0.608877, Time  0.258171
2021-09-15 04:49:34.095993 : Epoch  1, Batch   1662, Loss  0.875441, Average Loss  0.874427, Time  0.265272
2021-09-15 04:49:34.860610 : Epoch  6, Batch    634, Loss  0.612401, Average Loss  0.604578, Time  0.231939
2021-09-15 04:49:35.369834 : Epoch  5, Batch    498, Loss  0.597973, Average Loss  0.608798, Time  0.258235
2021-09-15 04:49:36.409494 : Epoch  6, Batch    635, Loss  0.606692, Average Loss  0.604576, Time  0.231799
2021-09-15 04:49:37.074478 : Epoch  5, Batch    499, Loss  0.612755, Average Loss  0.608853, Time  0.261465
2021-09-15 04:49:37.089225 : Epoch  1, Batch   1663, Loss  0.876041, Average Loss  0.874481, Time  0.265873
2021-09-15 04:49:38.753816 : Epoch  5, Batch    500, Loss  0.610655, Average Loss  0.608834, Time  0.257576
2021-09-15 04:49:40.109329 : Epoch  1, Batch   1664, Loss  0.879411, Average Loss  0.874535, Time  0.265012
2021-09-15 04:49:40.302041 : Epoch  6, Batch    636, Loss  0.612061, Average Loss  0.604573, Time  0.268459
2021-09-15 04:49:40.441305 : Epoch  5, Batch    501, Loss  0.610163, Average Loss  0.608794, Time  0.260385
2021-09-15 04:49:41.854358 : Epoch  6, Batch    637, Loss  0.589356, Average Loss  0.604525, Time  0.245586
2021-09-15 04:49:41.976843 : Epoch  5, Batch    502, Loss  0.614322, Average Loss  0.608787, Time  0.240368
2021-09-15 04:49:43.117253 : Epoch  1, Batch   1665, Loss  0.883409, Average Loss  0.874649, Time  0.273325
2021-09-15 04:49:43.395044 : Epoch  6, Batch    638, Loss  0.612728, Average Loss  0.604604, Time  0.231393
2021-09-15 04:49:43.510880 : Epoch  5, Batch    503, Loss  0.606144, Average Loss  0.608737, Time  0.241193
2021-09-15 04:49:44.946423 : Epoch  6, Batch    639, Loss  0.599917, Average Loss  0.604567, Time  0.231241
2021-09-15 04:49:45.038351 : Epoch  5, Batch    504, Loss  0.609728, Average Loss  0.608774, Time  0.238700
2021-09-15 04:49:46.118201 : Epoch  1, Batch   1666, Loss  0.905072, Average Loss  0.874791, Time  0.264842
2021-09-15 04:49:46.496645 : Epoch  6, Batch    640, Loss  0.589648, Average Loss  0.604393, Time  0.231496
2021-09-15 04:49:46.573814 : Epoch  5, Batch    505, Loss  0.608489, Average Loss  0.608836, Time  0.240112
2021-09-15 04:49:48.027803 : Epoch  6, Batch    641, Loss  0.603235, Average Loss  0.604364, Time  0.233500
2021-09-15 04:49:48.109949 : Epoch  5, Batch    506, Loss  0.601092, Average Loss  0.608758, Time  0.242942
2021-09-15 04:49:49.114057 : Epoch  1, Batch   1667, Loss  0.880856, Average Loss  0.874720, Time  0.266163
2021-09-15 04:49:49.570669 : Epoch  6, Batch    642, Loss  0.607896, Average Loss  0.604429, Time  0.231804
2021-09-15 04:49:49.667278 : Epoch  5, Batch    507, Loss  0.602282, Average Loss  0.608681, Time  0.239626
2021-09-15 04:49:51.116292 : Epoch  6, Batch    643, Loss  0.602137, Average Loss  0.604365, Time  0.231710
2021-09-15 04:49:51.203241 : Epoch  5, Batch    508, Loss  0.599971, Average Loss  0.608683, Time  0.239973
2021-09-15 04:49:52.116321 : Epoch  1, Batch   1668, Loss  0.851114, Average Loss  0.874597, Time  0.265890
2021-09-15 04:49:52.659633 : Epoch  6, Batch    644, Loss  0.600503, Average Loss  0.604364, Time  0.231066
2021-09-15 04:49:52.733954 : Epoch  5, Batch    509, Loss  0.601417, Average Loss  0.608646, Time  0.237868
2021-09-15 04:49:54.208602 : Epoch  6, Batch    645, Loss  0.601544, Average Loss  0.604450, Time  0.231412
2021-09-15 04:49:54.261727 : Epoch  5, Batch    510, Loss  0.609231, Average Loss  0.608650, Time  0.240145
2021-09-15 04:49:55.126166 : Epoch  1, Batch   1669, Loss  0.856773, Average Loss  0.874416, Time  0.264706
2021-09-15 04:49:55.754947 : Epoch  6, Batch    646, Loss  0.603667, Average Loss  0.604444, Time  0.230827
2021-09-15 04:49:55.817441 : Epoch  5, Batch    511, Loss  0.607316, Average Loss  0.608659, Time  0.240831
2021-09-15 04:49:57.315132 : Epoch  6, Batch    647, Loss  0.589060, Average Loss  0.604354, Time  0.232036
2021-09-15 04:49:57.351123 : Epoch  5, Batch    512, Loss  0.612248, Average Loss  0.608662, Time  0.237826
2021-09-15 04:49:58.118783 : Epoch  1, Batch   1670, Loss  0.870293, Average Loss  0.874482, Time  0.265572
2021-09-15 04:49:58.863367 : Epoch  6, Batch    648, Loss  0.602919, Average Loss  0.604297, Time  0.231426
2021-09-15 04:49:58.903940 : Epoch  5, Batch    513, Loss  0.623986, Average Loss  0.608721, Time  0.237614
2021-09-15 04:50:00.409322 : Epoch  6, Batch    649, Loss  0.598473, Average Loss  0.604235, Time  0.232320
2021-09-15 04:50:00.448957 : Epoch  5, Batch    514, Loss  0.603542, Average Loss  0.608709, Time  0.241621
2021-09-15 04:50:01.109063 : Epoch  1, Batch   1671, Loss  0.890089, Average Loss  0.874599, Time  0.263749
2021-09-15 04:50:01.968252 : Epoch  6, Batch    650, Loss  0.595966, Average Loss  0.604156, Time  0.234433
2021-09-15 04:50:02.007951 : Epoch  5, Batch    515, Loss  0.615138, Average Loss  0.608808, Time  0.240325
2021-09-15 04:50:03.515921 : Epoch  6, Batch    651, Loss  0.596602, Average Loss  0.604187, Time  0.230810
2021-09-15 04:50:03.556845 : Epoch  5, Batch    516, Loss  0.605262, Average Loss  0.608726, Time  0.238913
2021-09-15 04:50:04.127019 : Epoch  1, Batch   1672, Loss  0.891454, Average Loss  0.874674, Time  0.265491
2021-09-15 04:50:05.081592 : Epoch  6, Batch    652, Loss  0.597853, Average Loss  0.604142, Time  0.230275
2021-09-15 04:50:05.119940 : Epoch  5, Batch    517, Loss  0.597187, Average Loss  0.608687, Time  0.239680
2021-09-15 04:50:06.631357 : Epoch  6, Batch    653, Loss  0.594364, Average Loss  0.604045, Time  0.231242
2021-09-15 04:50:06.684926 : Epoch  5, Batch    518, Loss  0.608388, Average Loss  0.608761, Time  0.242932
2021-09-15 04:50:07.153015 : Epoch  1, Batch   1673, Loss  0.872844, Average Loss  0.874603, Time  0.265030
2021-09-15 04:50:08.179401 : Epoch  6, Batch    654, Loss  0.607361, Average Loss  0.604087, Time  0.231867
2021-09-15 04:50:08.218815 : Epoch  5, Batch    519, Loss  0.604800, Average Loss  0.608779, Time  0.238115
2021-09-15 04:50:09.732951 : Epoch  6, Batch    655, Loss  0.603541, Average Loss  0.604099, Time  0.231579
2021-09-15 04:50:09.767641 : Epoch  5, Batch    520, Loss  0.604504, Average Loss  0.608703, Time  0.240954
2021-09-15 04:50:10.160852 : Epoch  1, Batch   1674, Loss  0.868336, Average Loss  0.874596, Time  0.265309
2021-09-15 04:50:11.289753 : Epoch  6, Batch    656, Loss  0.605745, Average Loss  0.604077, Time  0.231257
2021-09-15 04:50:11.329232 : Epoch  5, Batch    521, Loss  0.596527, Average Loss  0.608645, Time  0.239630
2021-09-15 04:50:12.840141 : Epoch  6, Batch    657, Loss  0.607855, Average Loss  0.604129, Time  0.231168
2021-09-15 04:50:12.887593 : Epoch  5, Batch    522, Loss  0.600509, Average Loss  0.608615, Time  0.238400
2021-09-15 04:50:13.124257 : Epoch  1, Batch   1675, Loss  0.882845, Average Loss  0.874597, Time  0.264719
2021-09-15 04:50:14.394254 : Epoch  6, Batch    658, Loss  0.596297, Average Loss  0.604101, Time  0.231224
2021-09-15 04:50:15.954400 : Epoch  6, Batch    659, Loss  0.613999, Average Loss  0.604086, Time  0.231051
2021-09-15 04:50:16.135914 : Epoch  1, Batch   1676, Loss  0.879925, Average Loss  0.874772, Time  0.264293
2021-09-15 04:50:17.120494 : Epoch  5, Batch    523, Loss  0.609723, Average Loss  0.608578, Time  0.274822
2021-09-15 04:50:17.506158 : Epoch  6, Batch    660, Loss  0.598974, Average Loss  0.604044, Time  0.230973
2021-09-15 04:50:18.675356 : Epoch  5, Batch    524, Loss  0.615587, Average Loss  0.608582, Time  0.254790
2021-09-15 04:50:19.056848 : Epoch  6, Batch    661, Loss  0.614391, Average Loss  0.604109, Time  0.231291
2021-09-15 04:50:19.161278 : Epoch  1, Batch   1677, Loss  0.874153, Average Loss  0.874859, Time  0.267494
2021-09-15 04:50:20.240771 : Epoch  5, Batch    525, Loss  0.607830, Average Loss  0.608538, Time  0.239744
2021-09-15 04:50:20.615430 : Epoch  6, Batch    662, Loss  0.602493, Average Loss  0.604113, Time  0.232366
2021-09-15 04:50:21.773912 : Epoch  5, Batch    526, Loss  0.604237, Average Loss  0.608510, Time  0.240370
2021-09-15 04:50:22.133820 : Epoch  1, Batch   1678, Loss  0.859948, Average Loss  0.874714, Time  0.264965
2021-09-15 04:50:22.166116 : Epoch  6, Batch    663, Loss  0.593711, Average Loss  0.604083, Time  0.231568
2021-09-15 04:50:23.335197 : Epoch  5, Batch    527, Loss  0.607962, Average Loss  0.608513, Time  0.240750
2021-09-15 04:50:23.726324 : Epoch  6, Batch    664, Loss  0.610132, Average Loss  0.604070, Time  0.231620
2021-09-15 04:50:24.873965 : Epoch  5, Batch    528, Loss  0.603522, Average Loss  0.608511, Time  0.241973
2021-09-15 04:50:25.177338 : Epoch  1, Batch   1679, Loss  0.866722, Average Loss  0.874684, Time  0.266644
2021-09-15 04:50:25.279884 : Epoch  6, Batch    665, Loss  0.606247, Average Loss  0.604088, Time  0.231225
2021-09-15 04:50:26.411104 : Epoch  5, Batch    529, Loss  0.612470, Average Loss  0.608561, Time  0.239765
2021-09-15 04:50:27.945879 : Epoch  5, Batch    530, Loss  0.589772, Average Loss  0.608406, Time  0.239709
2021-09-15 04:50:28.177966 : Epoch  1, Batch   1680, Loss  0.877442, Average Loss  0.874734, Time  0.277018
2021-09-15 04:50:29.480792 : Epoch  5, Batch    531, Loss  0.606928, Average Loss  0.608361, Time  0.240806
2021-09-15 04:50:31.022004 : Epoch  5, Batch    532, Loss  0.603988, Average Loss  0.608367, Time  0.239635
2021-09-15 04:50:31.178284 : Epoch  1, Batch   1681, Loss  0.895657, Average Loss  0.874860, Time  0.267392
2021-09-15 04:50:32.577050 : Epoch  5, Batch    533, Loss  0.609546, Average Loss  0.608379, Time  0.239305
2021-09-15 04:50:34.104416 : Epoch  5, Batch    534, Loss  0.610141, Average Loss  0.608412, Time  0.236746
2021-09-15 04:50:34.178900 : Epoch  1, Batch   1682, Loss  0.880043, Average Loss  0.874966, Time  0.266944
2021-09-15 04:50:35.633399 : Epoch  5, Batch    535, Loss  0.618009, Average Loss  0.608485, Time  0.237461
2021-09-15 04:50:37.170807 : Epoch  5, Batch    536, Loss  0.614149, Average Loss  0.608500, Time  0.242681
2021-09-15 04:50:37.183060 : Epoch  1, Batch   1683, Loss  0.874540, Average Loss  0.875046, Time  0.264244
2021-09-15 04:50:38.716354 : Epoch  5, Batch    537, Loss  0.613998, Average Loss  0.608486, Time  0.242385
2021-09-15 04:50:40.178488 : Epoch  1, Batch   1684, Loss  0.860930, Average Loss  0.874928, Time  0.264322
2021-09-15 04:50:40.245593 : Epoch  5, Batch    538, Loss  0.615259, Average Loss  0.608491, Time  0.238605
2021-09-15 04:50:41.778011 : Epoch  5, Batch    539, Loss  0.602932, Average Loss  0.608441, Time  0.238490
2021-09-15 04:50:43.169008 : Epoch  1, Batch   1685, Loss  0.868859, Average Loss  0.874976, Time  0.264708
2021-09-15 04:50:43.318360 : Epoch  5, Batch    540, Loss  0.605409, Average Loss  0.608425, Time  0.241762
2021-09-15 04:50:44.863351 : Epoch  5, Batch    541, Loss  0.602167, Average Loss  0.608431, Time  0.240448
2021-09-15 04:50:46.189081 : Epoch  1, Batch   1686, Loss  0.888456, Average Loss  0.875075, Time  0.264645
2021-09-15 04:50:46.397783 : Epoch  5, Batch    542, Loss  0.607164, Average Loss  0.608437, Time  0.240197
2021-09-15 04:50:47.920785 : Epoch  5, Batch    543, Loss  0.614275, Average Loss  0.608474, Time  0.239008
2021-09-15 04:50:49.190105 : Epoch  1, Batch   1687, Loss  0.871557, Average Loss  0.875007, Time  0.264794
2021-09-15 04:50:49.460428 : Epoch  5, Batch    544, Loss  0.614666, Average Loss  0.608510, Time  0.238297
2021-09-15 04:50:50.997894 : Epoch  5, Batch    545, Loss  0.609679, Average Loss  0.608558, Time  0.238955
2021-09-15 04:50:52.184179 : Epoch  1, Batch   1688, Loss  0.868029, Average Loss  0.874983, Time  0.263901
2021-09-15 04:50:52.684164 : Epoch  5, Batch    546, Loss  0.610071, Average Loss  0.608570, Time  0.257235
2021-09-15 04:50:54.209921 : Epoch  5, Batch    547, Loss  0.605998, Average Loss  0.608511, Time  0.242776
2021-09-15 04:50:55.115023 : Epoch  1, Batch   1689, Loss  0.872202, Average Loss  0.875018, Time  0.264794
2021-09-15 04:50:55.754398 : Epoch  5, Batch    548, Loss  0.603563, Average Loss  0.608469, Time  0.240825
2021-09-15 04:50:57.297900 : Epoch  5, Batch    549, Loss  0.617432, Average Loss  0.608484, Time  0.242243
2021-09-15 04:50:58.116473 : Epoch  1, Batch   1690, Loss  0.883908, Average Loss  0.874996, Time  0.265395
2021-09-15 04:50:58.826872 : Epoch  5, Batch    550, Loss  0.604252, Average Loss  0.608449, Time  0.237674
2021-09-15 04:51:00.360353 : Epoch  5, Batch    551, Loss  0.600401, Average Loss  0.608441, Time  0.238534
2021-09-15 04:51:01.118600 : Epoch  1, Batch   1691, Loss  0.893978, Average Loss  0.875025, Time  0.264644
2021-09-15 04:51:01.900280 : Epoch  5, Batch    552, Loss  0.611925, Average Loss  0.608421, Time  0.240064
2021-09-15 04:51:04.124375 : Epoch  1, Batch   1692, Loss  0.879418, Average Loss  0.875057, Time  0.264761
2021-09-15 04:51:07.128069 : Epoch  1, Batch   1693, Loss  0.870773, Average Loss  0.875148, Time  0.265450
2021-09-15 04:51:10.150011 : Epoch  1, Batch   1694, Loss  0.878384, Average Loss  0.875249, Time  0.264494
2021-09-15 04:51:13.150948 : Epoch  1, Batch   1695, Loss  0.882643, Average Loss  0.875210, Time  0.276711
2021-09-15 04:51:16.142232 : Epoch  1, Batch   1696, Loss  0.876959, Average Loss  0.875166, Time  0.265086
2021-09-15 04:51:19.173809 : Epoch  1, Batch   1697, Loss  0.894774, Average Loss  0.875323, Time  0.265249
2021-09-15 04:51:22.191864 : Epoch  1, Batch   1698, Loss  0.857276, Average Loss  0.875228, Time  0.267269
2021-09-15 04:51:23.091731 : CheckPoint: Validation Loss  0.00025711, Best Loss  0.00024571
2021-09-15 04:51:24.648152 : Epoch  6, Batch    666, Loss  0.615214, Average Loss  0.604134, Time  0.231967
2021-09-15 04:51:25.203264 : Epoch  1, Batch   1699, Loss  0.876631, Average Loss  0.875200, Time  0.265270
2021-09-15 04:51:26.190238 : Epoch  6, Batch    667, Loss  0.596573, Average Loss  0.604098, Time  0.231243
2021-09-15 04:51:27.742318 : Epoch  6, Batch    668, Loss  0.587530, Average Loss  0.604038, Time  0.231680
2021-09-15 04:51:28.201245 : Epoch  1, Batch   1700, Loss  0.867745, Average Loss  0.875238, Time  0.265919
2021-09-15 04:51:29.291354 : Epoch  6, Batch    669, Loss  0.590662, Average Loss  0.603980, Time  0.231536
2021-09-15 04:51:30.851886 : Epoch  6, Batch    670, Loss  0.595948, Average Loss  0.603974, Time  0.231328
2021-09-15 04:51:32.394636 : Epoch  6, Batch    671, Loss  0.600064, Average Loss  0.603974, Time  0.232164
2021-09-15 04:51:33.927998 : Epoch  6, Batch    672, Loss  0.619319, Average Loss  0.604032, Time  0.232174
2021-09-15 04:51:35.462306 : Epoch  6, Batch    673, Loss  0.608475, Average Loss  0.604079, Time  0.231273
2021-09-15 04:51:37.002133 : Epoch  6, Batch    674, Loss  0.611081, Average Loss  0.604124, Time  0.231127
2021-09-15 04:51:38.548377 : Epoch  6, Batch    675, Loss  0.605152, Average Loss  0.604082, Time  0.231360
2021-09-15 04:51:40.088608 : Epoch  6, Batch    676, Loss  0.600507, Average Loss  0.604054, Time  0.231042
2021-09-15 04:51:41.637060 : Epoch  6, Batch    677, Loss  0.607110, Average Loss  0.604003, Time  0.231564
2021-09-15 04:51:43.182323 : Epoch  6, Batch    678, Loss  0.609430, Average Loss  0.604049, Time  0.230864
2021-09-15 04:51:44.726391 : Epoch  6, Batch    679, Loss  0.604936, Average Loss  0.603999, Time  0.231448
2021-09-15 04:51:46.284709 : Epoch  6, Batch    680, Loss  0.601135, Average Loss  0.603978, Time  0.231116
2021-09-15 04:51:47.828678 : Epoch  6, Batch    681, Loss  0.600033, Average Loss  0.603908, Time  0.233763
2021-09-15 04:51:49.368827 : Epoch  6, Batch    682, Loss  0.612175, Average Loss  0.603939, Time  0.231587
2021-09-15 04:51:50.911283 : Epoch  6, Batch    683, Loss  0.602222, Average Loss  0.603895, Time  0.231691
2021-09-15 04:51:52.450144 : Epoch  6, Batch    684, Loss  0.609042, Average Loss  0.603902, Time  0.231447
2021-09-15 04:51:53.992143 : Epoch  6, Batch    685, Loss  0.612333, Average Loss  0.603907, Time  0.231576
2021-09-15 04:51:55.530607 : Epoch  6, Batch    686, Loss  0.601043, Average Loss  0.603913, Time  0.231214
2021-09-15 04:51:57.068917 : Epoch  6, Batch    687, Loss  0.593535, Average Loss  0.603880, Time  0.231405
2021-09-15 04:51:58.615910 : Epoch  6, Batch    688, Loss  0.613054, Average Loss  0.603979, Time  0.231321
2021-09-15 04:51:58.654705 : CheckPoint: Validation Loss  0.00024341, Best Loss  0.00024341
2021-09-15 04:51:58.678551 : Best Model Updated
2021-09-15 04:52:00.165100 : Epoch  6, Batch    689, Loss  0.601382, Average Loss  0.603970, Time  0.231415
2021-09-15 04:52:00.950896 : Epoch  5, Batch    553, Loss  0.611354, Average Loss  0.608439, Time  0.241358
2021-09-15 04:52:01.722945 : Epoch  6, Batch    690, Loss  0.610608, Average Loss  0.603987, Time  0.231413
2021-09-15 04:52:02.479289 : Epoch  5, Batch    554, Loss  0.607298, Average Loss  0.608392, Time  0.240625
2021-09-15 04:52:03.296225 : Epoch  6, Batch    691, Loss  0.607353, Average Loss  0.604003, Time  0.231331
2021-09-15 04:52:04.003971 : Epoch  5, Batch    555, Loss  0.605622, Average Loss  0.608367, Time  0.239820
2021-09-15 04:52:04.847971 : Epoch  6, Batch    692, Loss  0.602900, Average Loss  0.603970, Time  0.231222
2021-09-15 04:52:05.532320 : Epoch  5, Batch    556, Loss  0.604815, Average Loss  0.608324, Time  0.239638
2021-09-15 04:52:06.398367 : Epoch  6, Batch    693, Loss  0.589071, Average Loss  0.603899, Time  0.231106
2021-09-15 04:52:07.055828 : Epoch  5, Batch    557, Loss  0.611050, Average Loss  0.608327, Time  0.238831
2021-09-15 04:52:07.949732 : Epoch  6, Batch    694, Loss  0.601960, Average Loss  0.603855, Time  0.231717
2021-09-15 04:52:08.580016 : Epoch  5, Batch    558, Loss  0.614179, Average Loss  0.608355, Time  0.237230
2021-09-15 04:52:09.501336 : Epoch  6, Batch    695, Loss  0.612851, Average Loss  0.603834, Time  0.231205
2021-09-15 04:52:10.257834 : Epoch  5, Batch    559, Loss  0.601274, Average Loss  0.608300, Time  0.257238
2021-09-15 04:52:11.061178 : Epoch  6, Batch    696, Loss  0.592993, Average Loss  0.603748, Time  0.231977
2021-09-15 04:52:11.799420 : Epoch  5, Batch    560, Loss  0.612968, Average Loss  0.608290, Time  0.239704
2021-09-15 04:52:12.611406 : Epoch  6, Batch    697, Loss  0.596323, Average Loss  0.603705, Time  0.231234
2021-09-15 04:52:13.340402 : Epoch  5, Batch    561, Loss  0.606908, Average Loss  0.608334, Time  0.241479
2021-09-15 04:52:14.156223 : Epoch  6, Batch    698, Loss  0.606693, Average Loss  0.603712, Time  0.231340
2021-09-15 04:52:14.869866 : Epoch  5, Batch    562, Loss  0.607660, Average Loss  0.608354, Time  0.238593
2021-09-15 04:52:15.698321 : Epoch  6, Batch    699, Loss  0.598043, Average Loss  0.603663, Time  0.231594
2021-09-15 04:52:16.402786 : Epoch  5, Batch    563, Loss  0.615168, Average Loss  0.608367, Time  0.238291
2021-09-15 04:52:17.251357 : Epoch  6, Batch    700, Loss  0.604254, Average Loss  0.603662, Time  0.234555
2021-09-15 04:52:17.945229 : Epoch  5, Batch    564, Loss  0.619540, Average Loss  0.608375, Time  0.241247
2021-09-15 04:52:18.806134 : Epoch  6, Batch    701, Loss  0.600570, Average Loss  0.603670, Time  0.231653
2021-09-15 04:52:19.627765 : Epoch  5, Batch    565, Loss  0.602791, Average Loss  0.608317, Time  0.241470
2021-09-15 04:52:20.349538 : Epoch  6, Batch    702, Loss  0.590049, Average Loss  0.603551, Time  0.231044
2021-09-15 04:52:21.310979 : Epoch  5, Batch    566, Loss  0.616256, Average Loss  0.608332, Time  0.257239
2021-09-15 04:52:21.891619 : Epoch  6, Batch    703, Loss  0.598294, Average Loss  0.603477, Time  0.230951
2021-09-15 04:52:22.994385 : Epoch  5, Batch    567, Loss  0.600158, Average Loss  0.608241, Time  0.259359
2021-09-15 04:52:23.444418 : Epoch  6, Batch    704, Loss  0.602872, Average Loss  0.603360, Time  0.230907
2021-09-15 04:52:24.702986 : Epoch  5, Batch    568, Loss  0.603691, Average Loss  0.608210, Time  0.259214
2021-09-15 04:52:24.981112 : Epoch  6, Batch    705, Loss  0.606309, Average Loss  0.603383, Time  0.232259
2021-09-15 04:52:26.407263 : Epoch  5, Batch    569, Loss  0.612293, Average Loss  0.608307, Time  0.257272
2021-09-15 04:52:26.526028 : Epoch  6, Batch    706, Loss  0.591642, Average Loss  0.603273, Time  0.231144
2021-09-15 04:52:28.067001 : Epoch  6, Batch    707, Loss  0.601179, Average Loss  0.603296, Time  0.231877
2021-09-15 04:52:28.110750 : Epoch  5, Batch    570, Loss  0.614951, Average Loss  0.608371, Time  0.257607
2021-09-15 04:52:29.619789 : Epoch  6, Batch    708, Loss  0.616695, Average Loss  0.603414, Time  0.231922
2021-09-15 04:52:29.659436 : Epoch  5, Batch    571, Loss  0.606919, Average Loss  0.608369, Time  0.241385
2021-09-15 04:52:31.169364 : Epoch  6, Batch    709, Loss  0.608163, Average Loss  0.603411, Time  0.231184
2021-09-15 04:52:31.203887 : Epoch  5, Batch    572, Loss  0.610408, Average Loss  0.608410, Time  0.240690
2021-09-15 04:52:32.719945 : Epoch  6, Batch    710, Loss  0.602130, Average Loss  0.603392, Time  0.231595
2021-09-15 04:52:32.754426 : Epoch  5, Batch    573, Loss  0.613553, Average Loss  0.608396, Time  0.240621
2021-09-15 04:52:34.265014 : Epoch  6, Batch    711, Loss  0.603566, Average Loss  0.603380, Time  0.231703
2021-09-15 04:52:34.314446 : Epoch  5, Batch    574, Loss  0.599223, Average Loss  0.608341, Time  0.242209
2021-09-15 04:52:35.806700 : Epoch  6, Batch    712, Loss  0.616087, Average Loss  0.603446, Time  0.231579
2021-09-15 04:52:35.856414 : Epoch  5, Batch    575, Loss  0.609169, Average Loss  0.608301, Time  0.239038
2021-09-15 04:52:37.353567 : Epoch  6, Batch    713, Loss  0.599034, Average Loss  0.603499, Time  0.230973
2021-09-15 04:52:37.406546 : Epoch  5, Batch    576, Loss  0.607721, Average Loss  0.608300, Time  0.240653
2021-09-15 04:52:38.901512 : Epoch  6, Batch    714, Loss  0.602243, Average Loss  0.603509, Time  0.232399
2021-09-15 04:52:38.943954 : Epoch  5, Batch    577, Loss  0.598807, Average Loss  0.608290, Time  0.241052
2021-09-15 04:52:40.456399 : Epoch  6, Batch    715, Loss  0.608665, Average Loss  0.603535, Time  0.233252
2021-09-15 04:52:40.486955 : Epoch  5, Batch    578, Loss  0.602858, Average Loss  0.608313, Time  0.240438
2021-09-15 04:52:42.001848 : Epoch  6, Batch    716, Loss  0.603702, Average Loss  0.603526, Time  0.231565
2021-09-15 04:52:42.039860 : Epoch  5, Batch    579, Loss  0.602715, Average Loss  0.608239, Time  0.240869
2021-09-15 04:52:43.545867 : Epoch  6, Batch    717, Loss  0.601974, Average Loss  0.603488, Time  0.230641
2021-09-15 04:52:43.600382 : Epoch  5, Batch    580, Loss  0.612307, Average Loss  0.608227, Time  0.240714
2021-09-15 04:52:45.106313 : Epoch  6, Batch    718, Loss  0.602406, Average Loss  0.603490, Time  0.230119
2021-09-15 04:52:45.151891 : Epoch  5, Batch    581, Loss  0.615947, Average Loss  0.608233, Time  0.240994
2021-09-15 04:52:46.658159 : Epoch  6, Batch    719, Loss  0.600449, Average Loss  0.603508, Time  0.232082
2021-09-15 04:52:46.690300 : Epoch  5, Batch    582, Loss  0.607647, Average Loss  0.608213, Time  0.237980
2021-09-15 04:52:48.195057 : Epoch  6, Batch    720, Loss  0.596678, Average Loss  0.603444, Time  0.230705
2021-09-15 04:52:48.230030 : Epoch  5, Batch    583, Loss  0.602131, Average Loss  0.608224, Time  0.237353
2021-09-15 04:52:49.741762 : Epoch  6, Batch    721, Loss  0.605629, Average Loss  0.603545, Time  0.231159
2021-09-15 04:52:49.802431 : Epoch  5, Batch    584, Loss  0.601442, Average Loss  0.608218, Time  0.242684
2021-09-15 04:52:51.291446 : Epoch  6, Batch    722, Loss  0.600895, Average Loss  0.603521, Time  0.231203
2021-09-15 04:52:51.340792 : Epoch  5, Batch    585, Loss  0.599986, Average Loss  0.608154, Time  0.239454
2021-09-15 04:52:52.846542 : Epoch  6, Batch    723, Loss  0.593649, Average Loss  0.603488, Time  0.231309
2021-09-15 04:52:52.887453 : Epoch  5, Batch    586, Loss  0.605117, Average Loss  0.608136, Time  0.239134
2021-09-15 04:52:54.397803 : Epoch  6, Batch    724, Loss  0.610037, Average Loss  0.603444, Time  0.230665
2021-09-15 04:52:54.436417 : Epoch  5, Batch    587, Loss  0.603065, Average Loss  0.608060, Time  0.239895
2021-09-15 04:52:55.946567 : Epoch  6, Batch    725, Loss  0.602782, Average Loss  0.603435, Time  0.231707
2021-09-15 04:52:55.984398 : Epoch  5, Batch    588, Loss  0.616448, Average Loss  0.608077, Time  0.242147
2021-09-15 04:52:57.500227 : Epoch  6, Batch    726, Loss  0.607763, Average Loss  0.603462, Time  0.231351
2021-09-15 04:52:57.530807 : Epoch  5, Batch    589, Loss  0.605265, Average Loss  0.608071, Time  0.243460
2021-09-15 04:52:59.048225 : Epoch  6, Batch    727, Loss  0.610518, Average Loss  0.603535, Time  0.231226
2021-09-15 04:52:59.088024 : Epoch  5, Batch    590, Loss  0.599015, Average Loss  0.608034, Time  0.239002
2021-09-15 04:53:00.598201 : Epoch  6, Batch    728, Loss  0.605047, Average Loss  0.603544, Time  0.232084
2021-09-15 04:53:00.636890 : Epoch  5, Batch    591, Loss  0.599308, Average Loss  0.608038, Time  0.239490
2021-09-15 04:53:02.148506 : Epoch  6, Batch    729, Loss  0.598018, Average Loss  0.603538, Time  0.231610
2021-09-15 04:53:02.185389 : Epoch  5, Batch    592, Loss  0.596731, Average Loss  0.607916, Time  0.240360
2021-09-15 04:53:03.695419 : Epoch  6, Batch    730, Loss  0.611064, Average Loss  0.603564, Time  0.231604
2021-09-15 04:53:03.738238 : Epoch  5, Batch    593, Loss  0.602859, Average Loss  0.607944, Time  0.239244
2021-09-15 04:53:05.250611 : Epoch  6, Batch    731, Loss  0.608995, Average Loss  0.603595, Time  0.231099
2021-09-15 04:53:05.282880 : Epoch  5, Batch    594, Loss  0.614676, Average Loss  0.608029, Time  0.239222
2021-09-15 04:53:06.793691 : Epoch  6, Batch    732, Loss  0.604890, Average Loss  0.603585, Time  0.232985
2021-09-15 04:53:06.831388 : Epoch  5, Batch    595, Loss  0.611467, Average Loss  0.608025, Time  0.237359
2021-09-15 04:53:08.347083 : Epoch  6, Batch    733, Loss  0.607388, Average Loss  0.603591, Time  0.231785
2021-09-15 04:53:08.401372 : Epoch  5, Batch    596, Loss  0.611254, Average Loss  0.608007, Time  0.240831
2021-09-15 04:53:09.909370 : Epoch  6, Batch    734, Loss  0.612040, Average Loss  0.603653, Time  0.231089
2021-09-15 04:53:09.947912 : Epoch  5, Batch    597, Loss  0.610647, Average Loss  0.608027, Time  0.239136
2021-09-15 04:53:11.462365 : Epoch  6, Batch    735, Loss  0.614823, Average Loss  0.603623, Time  0.231395
2021-09-15 04:53:11.497193 : Epoch  5, Batch    598, Loss  0.594614, Average Loss  0.607995, Time  0.240744
2021-09-15 04:53:13.038063 : Epoch  5, Batch    599, Loss  0.599283, Average Loss  0.607932, Time  0.241852
2021-09-15 04:53:14.596458 : Epoch  5, Batch    600, Loss  0.611747, Average Loss  0.607994, Time  0.239806
2021-09-15 04:53:15.353583 : Epoch  6, Batch    736, Loss  0.611498, Average Loss  0.603635, Time  0.268420
2021-09-15 04:53:16.143901 : Epoch  5, Batch    601, Loss  0.607759, Average Loss  0.608027, Time  0.243846
2021-09-15 04:53:16.913447 : Epoch  6, Batch    737, Loss  0.616618, Average Loss  0.603700, Time  0.246215
2021-09-15 04:53:17.682432 : Epoch  5, Batch    602, Loss  0.608055, Average Loss  0.608033, Time  0.238964
2021-09-15 04:53:18.446442 : Epoch  6, Batch    738, Loss  0.609275, Average Loss  0.603701, Time  0.230806
2021-09-15 04:53:19.214896 : Epoch  5, Batch    603, Loss  0.605937, Average Loss  0.608004, Time  0.241534
2021-09-15 04:53:19.980248 : Epoch  6, Batch    739, Loss  0.612695, Average Loss  0.603733, Time  0.230368
2021-09-15 04:53:20.752418 : Epoch  5, Batch    604, Loss  0.607852, Average Loss  0.608024, Time  0.240484
2021-09-15 04:53:21.515967 : Epoch  6, Batch    740, Loss  0.603532, Average Loss  0.603775, Time  0.230728
2021-09-15 04:53:22.434883 : Epoch  5, Batch    605, Loss  0.605461, Average Loss  0.607972, Time  0.257435
2021-09-15 04:53:23.053071 : Epoch  6, Batch    741, Loss  0.604897, Average Loss  0.603851, Time  0.230662
2021-09-15 04:53:24.118417 : Epoch  5, Batch    606, Loss  0.609081, Average Loss  0.607991, Time  0.257724
2021-09-15 04:53:24.603127 : Epoch  6, Batch    742, Loss  0.605142, Average Loss  0.603852, Time  0.230721
2021-09-15 04:53:25.810423 : Epoch  5, Batch    607, Loss  0.605897, Average Loss  0.608001, Time  0.260320
2021-09-15 04:53:26.133259 : Epoch  6, Batch    743, Loss  0.601364, Average Loss  0.603841, Time  0.231706
2021-09-15 04:53:27.511735 : Epoch  5, Batch    608, Loss  0.612567, Average Loss  0.607964, Time  0.260015
2021-09-15 04:53:27.666487 : Epoch  6, Batch    744, Loss  0.611343, Average Loss  0.603872, Time  0.231776
2021-09-15 04:53:29.055111 : Epoch  5, Batch    609, Loss  0.615367, Average Loss  0.608003, Time  0.241230
2021-09-15 04:53:29.201179 : Epoch  6, Batch    745, Loss  0.595144, Average Loss  0.603835, Time  0.231316
2021-09-15 04:53:30.727360 : Epoch  6, Batch    746, Loss  0.596509, Average Loss  0.603836, Time  0.230846
2021-09-15 04:53:30.771270 : Epoch  5, Batch    610, Loss  0.613851, Average Loss  0.608005, Time  0.258321
2021-09-15 04:53:32.276689 : Epoch  6, Batch    747, Loss  0.613707, Average Loss  0.603926, Time  0.231089
2021-09-15 04:53:32.319820 : Epoch  5, Batch    611, Loss  0.615135, Average Loss  0.608078, Time  0.237813
2021-09-15 04:53:33.822253 : Epoch  6, Batch    748, Loss  0.592942, Average Loss  0.603854, Time  0.230570
2021-09-15 04:53:33.870568 : Epoch  5, Batch    612, Loss  0.606245, Average Loss  0.608090, Time  0.240430
2021-09-15 04:53:35.369508 : Epoch  6, Batch    749, Loss  0.620381, Average Loss  0.603936, Time  0.230807
2021-09-15 04:53:35.560901 : Epoch  5, Batch    613, Loss  0.600868, Average Loss  0.608066, Time  0.259112
2021-09-15 04:53:36.912205 : Epoch  6, Batch    750, Loss  0.598877, Average Loss  0.603967, Time  0.230336
2021-09-15 04:53:37.251359 : Epoch  5, Batch    614, Loss  0.612889, Average Loss  0.608078, Time  0.260770
2021-09-15 04:53:38.451301 : Epoch  6, Batch    751, Loss  0.612841, Average Loss  0.604030, Time  0.230679
2021-09-15 04:53:38.950963 : Epoch  5, Batch    615, Loss  0.604850, Average Loss  0.608037, Time  0.259397
2021-09-15 04:53:40.009208 : Epoch  6, Batch    752, Loss  0.605157, Average Loss  0.603995, Time  0.230762
2021-09-15 04:53:40.631966 : Epoch  5, Batch    616, Loss  0.608835, Average Loss  0.608009, Time  0.257675
2021-09-15 04:53:41.550937 : Epoch  6, Batch    753, Loss  0.592572, Average Loss  0.603916, Time  0.230651
2021-09-15 04:53:42.322835 : Epoch  5, Batch    617, Loss  0.614074, Average Loss  0.607996, Time  0.259554
2021-09-15 04:53:43.090455 : Epoch  6, Batch    754, Loss  0.598233, Average Loss  0.603862, Time  0.231670
2021-09-15 04:53:43.864288 : Epoch  5, Batch    618, Loss  0.608737, Average Loss  0.608036, Time  0.241645
2021-09-15 04:53:44.635777 : Epoch  6, Batch    755, Loss  0.606712, Average Loss  0.603814, Time  0.231619
2021-09-15 04:53:45.408913 : Epoch  5, Batch    619, Loss  0.606952, Average Loss  0.608058, Time  0.239404
2021-09-15 04:53:46.189488 : Epoch  6, Batch    756, Loss  0.596461, Average Loss  0.603833, Time  0.230546
2021-09-15 04:53:47.098217 : Epoch  5, Batch    620, Loss  0.599642, Average Loss  0.607998, Time  0.250417
2021-09-15 04:53:47.734764 : Epoch  6, Batch    757, Loss  0.617951, Average Loss  0.603870, Time  0.233930
2021-09-15 04:53:48.786031 : Epoch  5, Batch    621, Loss  0.600275, Average Loss  0.607932, Time  0.258893
2021-09-15 04:53:49.281822 : Epoch  6, Batch    758, Loss  0.600312, Average Loss  0.603879, Time  0.230445
2021-09-15 04:53:50.485810 : Epoch  5, Batch    622, Loss  0.597976, Average Loss  0.607919, Time  0.259562
2021-09-15 04:53:50.832334 : Epoch  6, Batch    759, Loss  0.608186, Average Loss  0.603920, Time  0.230729
2021-09-15 04:53:52.372335 : Epoch  6, Batch    760, Loss  0.601428, Average Loss  0.603921, Time  0.231229
2021-09-15 04:53:53.921303 : Epoch  6, Batch    761, Loss  0.593894, Average Loss  0.603839, Time  0.230479
2021-09-15 04:53:54.367227 : Epoch  5, Batch    623, Loss  0.605824, Average Loss  0.607939, Time  0.271114
2021-09-15 04:53:55.473928 : Epoch  6, Batch    762, Loss  0.605587, Average Loss  0.603872, Time  0.231076
2021-09-15 04:53:55.892803 : Epoch  5, Batch    624, Loss  0.602427, Average Loss  0.607828, Time  0.240622
2021-09-15 04:53:57.020321 : Epoch  6, Batch    763, Loss  0.592583, Average Loss  0.603829, Time  0.231182
2021-09-15 04:53:57.410595 : Epoch  5, Batch    625, Loss  0.620511, Average Loss  0.607885, Time  0.240798
2021-09-15 04:53:58.567275 : Epoch  6, Batch    764, Loss  0.611479, Average Loss  0.603844, Time  0.230431
2021-09-15 04:53:58.947801 : Epoch  5, Batch    626, Loss  0.614879, Average Loss  0.607920, Time  0.242098
2021-09-15 04:54:00.114775 : Epoch  6, Batch    765, Loss  0.606649, Average Loss  0.603872, Time  0.230577
2021-09-15 04:54:00.494422 : Epoch  5, Batch    627, Loss  0.607527, Average Loss  0.607948, Time  0.240347
2021-09-15 04:54:02.026047 : Epoch  5, Batch    628, Loss  0.611487, Average Loss  0.607980, Time  0.240217
2021-09-15 04:54:03.557841 : Epoch  5, Batch    629, Loss  0.595860, Average Loss  0.607935, Time  0.238129
2021-09-15 04:54:05.086061 : Epoch  5, Batch    630, Loss  0.602943, Average Loss  0.607854, Time  0.239415
2021-09-15 04:54:06.652664 : Epoch  5, Batch    631, Loss  0.609244, Average Loss  0.607850, Time  0.240112
2021-09-15 04:54:08.190388 : Epoch  5, Batch    632, Loss  0.606913, Average Loss  0.607882, Time  0.236962
2021-09-15 04:54:09.723136 : Epoch  5, Batch    633, Loss  0.607367, Average Loss  0.607871, Time  0.237406
2021-09-15 04:54:11.272119 : Epoch  5, Batch    634, Loss  0.605296, Average Loss  0.607853, Time  0.241977
2021-09-15 04:54:12.821989 : Epoch  5, Batch    635, Loss  0.610471, Average Loss  0.607844, Time  0.241075
2021-09-15 04:54:14.385066 : Epoch  5, Batch    636, Loss  0.610298, Average Loss  0.607843, Time  0.240239
2021-09-15 04:54:15.926118 : Epoch  5, Batch    637, Loss  0.605980, Average Loss  0.607786, Time  0.239926
2021-09-15 04:54:17.463203 : Epoch  5, Batch    638, Loss  0.614408, Average Loss  0.607813, Time  0.238645
2021-09-15 04:54:18.990037 : Epoch  5, Batch    639, Loss  0.598284, Average Loss  0.607756, Time  0.239193
2021-09-15 04:54:20.549662 : Epoch  5, Batch    640, Loss  0.604665, Average Loss  0.607759, Time  0.247732
2021-09-15 04:54:22.119237 : Epoch  5, Batch    641, Loss  0.603568, Average Loss  0.607725, Time  0.239100
2021-09-15 04:54:23.661949 : Epoch  5, Batch    642, Loss  0.604468, Average Loss  0.607690, Time  0.239287
2021-09-15 04:54:25.203068 : Epoch  5, Batch    643, Loss  0.607682, Average Loss  0.607704, Time  0.239200
2021-09-15 04:54:26.793881 : Epoch  5, Batch    644, Loss  0.611224, Average Loss  0.607731, Time  0.239581
2021-09-15 04:54:28.335061 : Epoch  5, Batch    645, Loss  0.604516, Average Loss  0.607753, Time  0.236382
2021-09-15 04:54:30.007067 : Epoch  5, Batch    646, Loss  0.617676, Average Loss  0.607855, Time  0.239997
2021-09-15 04:54:31.713713 : Epoch  5, Batch    647, Loss  0.617154, Average Loss  0.607874, Time  0.259725
2021-09-15 04:54:33.407946 : Epoch  5, Batch    648, Loss  0.617475, Average Loss  0.607892, Time  0.241123
2021-09-15 04:54:34.939886 : Epoch  5, Batch    649, Loss  0.606184, Average Loss  0.607897, Time  0.238304
2021-09-15 04:54:36.488324 : Epoch  5, Batch    650, Loss  0.613316, Average Loss  0.607917, Time  0.237965
2021-09-15 04:54:38.174506 : Epoch  5, Batch    651, Loss  0.616086, Average Loss  0.608002, Time  0.259047
2021-09-15 04:54:39.883256 : Epoch  5, Batch    652, Loss  0.603208, Average Loss  0.607897, Time  0.259214
2021-09-15 04:54:58.060649 : CheckPoint: Validation Loss  0.00024809, Best Loss  0.00024571
2021-09-15 04:54:59.621163 : Epoch  6, Batch    766, Loss  0.615944, Average Loss  0.603874, Time  0.231316
2021-09-15 04:55:01.173957 : Epoch  6, Batch    767, Loss  0.601883, Average Loss  0.603910, Time  0.231104
2021-09-15 04:55:02.733846 : Epoch  6, Batch    768, Loss  0.587945, Average Loss  0.603818, Time  0.231761
2021-09-15 04:55:04.285984 : Epoch  6, Batch    769, Loss  0.609709, Average Loss  0.603870, Time  0.231241
2021-09-15 04:55:05.850838 : Epoch  6, Batch    770, Loss  0.605814, Average Loss  0.603881, Time  0.231595
2021-09-15 04:55:07.396032 : Epoch  6, Batch    771, Loss  0.602153, Average Loss  0.603813, Time  0.231361
2021-09-15 04:55:08.947384 : Epoch  6, Batch    772, Loss  0.610532, Average Loss  0.603850, Time  0.230968
2021-09-15 04:55:10.503411 : Epoch  6, Batch    773, Loss  0.588509, Average Loss  0.603762, Time  0.231436
2021-09-15 04:55:12.062817 : Epoch  6, Batch    774, Loss  0.604249, Average Loss  0.603763, Time  0.234516
2021-09-15 04:55:13.611841 : Epoch  6, Batch    775, Loss  0.596337, Average Loss  0.603721, Time  0.231344
2021-09-15 04:55:15.178215 : Epoch  6, Batch    776, Loss  0.593741, Average Loss  0.603707, Time  0.231419
2021-09-15 04:55:16.733129 : Epoch  6, Batch    777, Loss  0.601207, Average Loss  0.603714, Time  0.231879
2021-09-15 04:55:18.295033 : Epoch  6, Batch    778, Loss  0.585793, Average Loss  0.603618, Time  0.232357
2021-09-15 04:55:19.851395 : Epoch  6, Batch    779, Loss  0.613959, Average Loss  0.603674, Time  0.231721
2021-09-15 04:55:21.406728 : Epoch  6, Batch    780, Loss  0.610525, Average Loss  0.603736, Time  0.231841
2021-09-15 04:55:22.981386 : Epoch  6, Batch    781, Loss  0.592104, Average Loss  0.603658, Time  0.232042
2021-09-15 04:55:24.542596 : Epoch  6, Batch    782, Loss  0.604467, Average Loss  0.603639, Time  0.232154
2021-09-15 04:55:26.101639 : Epoch  6, Batch    783, Loss  0.609887, Average Loss  0.603645, Time  0.232800
2021-09-15 04:55:27.663347 : Epoch  6, Batch    784, Loss  0.604648, Average Loss  0.603612, Time  0.231037
2021-09-15 04:55:29.217316 : Epoch  6, Batch    785, Loss  0.609131, Average Loss  0.603623, Time  0.230949
2021-09-15 04:55:30.762924 : Epoch  6, Batch    786, Loss  0.599362, Average Loss  0.603566, Time  0.231033
2021-09-15 04:55:32.304374 : Epoch  6, Batch    787, Loss  0.604342, Average Loss  0.603573, Time  0.231157
2021-09-15 04:55:32.345604 : Saving Model after 6-th Epoch.
2021-09-15 04:55:33.236408 : Epoch Finished.
2021-09-15 04:55:35.620605 : Batch Shuffled
2021-09-15 04:55:37.174771 : CheckPoint: Validation Loss  0.00025865, Best Loss  0.00024341
2021-09-15 04:55:37.206629 : Epoch  7, Batch      1, Loss  0.605319, Average Loss  0.603568, Time  0.268218
2021-09-15 04:55:38.729192 : Epoch  5, Batch    653, Loss  0.611412, Average Loss  0.607900, Time  0.266918
2021-09-15 04:55:38.761070 : Epoch  7, Batch      2, Loss  0.607847, Average Loss  0.603600, Time  0.246005
2021-09-15 04:55:40.260132 : Epoch  5, Batch    654, Loss  0.603830, Average Loss  0.607902, Time  0.248400
2021-09-15 04:55:40.296074 : Epoch  7, Batch      3, Loss  0.597362, Average Loss  0.603484, Time  0.232608
2021-09-15 04:55:41.833004 : Epoch  5, Batch    655, Loss  0.601018, Average Loss  0.607907, Time  0.243532
2021-09-15 04:55:41.868365 : Epoch  7, Batch      4, Loss  0.600452, Average Loss  0.603444, Time  0.232036
2021-09-15 04:55:43.370460 : Epoch  5, Batch    656, Loss  0.607402, Average Loss  0.607836, Time  0.241993
2021-09-15 04:55:43.415868 : Epoch  7, Batch      5, Loss  0.591480, Average Loss  0.603376, Time  0.231065
2021-09-15 04:55:44.902116 : Epoch  5, Batch    657, Loss  0.603605, Average Loss  0.607769, Time  0.240263
2021-09-15 04:55:44.954535 : Epoch  7, Batch      6, Loss  0.604014, Average Loss  0.603378, Time  0.231632
2021-09-15 04:55:46.427412 : Epoch  5, Batch    658, Loss  0.599277, Average Loss  0.607747, Time  0.240176
2021-09-15 04:55:46.506362 : Epoch  7, Batch      7, Loss  0.599479, Average Loss  0.603337, Time  0.230886
2021-09-15 04:55:47.966376 : Epoch  5, Batch    659, Loss  0.601852, Average Loss  0.607708, Time  0.240933
2021-09-15 04:55:48.049207 : Epoch  7, Batch      8, Loss  0.594047, Average Loss  0.603339, Time  0.231040
2021-09-15 04:55:49.507487 : Epoch  5, Batch    660, Loss  0.598999, Average Loss  0.607681, Time  0.241337
2021-09-15 04:55:49.592186 : Epoch  7, Batch      9, Loss  0.589448, Average Loss  0.603305, Time  0.231980
2021-09-15 04:55:51.054782 : Epoch  5, Batch    661, Loss  0.604647, Average Loss  0.607645, Time  0.242538
2021-09-15 04:55:51.127616 : Epoch  7, Batch     10, Loss  0.606399, Average Loss  0.603303, Time  0.230967
2021-09-15 04:55:52.590426 : Epoch  5, Batch    662, Loss  0.602076, Average Loss  0.607627, Time  0.241616
2021-09-15 04:55:52.665823 : Epoch  7, Batch     11, Loss  0.616463, Average Loss  0.603305, Time  0.231029
2021-09-15 04:55:54.118850 : Epoch  5, Batch    663, Loss  0.603610, Average Loss  0.607600, Time  0.241375
2021-09-15 04:55:54.204272 : Epoch  7, Batch     12, Loss  0.596812, Average Loss  0.603285, Time  0.230951
2021-09-15 04:55:55.675032 : Epoch  5, Batch    664, Loss  0.608298, Average Loss  0.607566, Time  0.241249
2021-09-15 04:55:55.736022 : Epoch  7, Batch     13, Loss  0.606994, Average Loss  0.603325, Time  0.231848
2021-09-15 04:55:57.226841 : Epoch  5, Batch    665, Loss  0.613886, Average Loss  0.607603, Time  0.241281
2021-09-15 04:55:57.279018 : Epoch  7, Batch     14, Loss  0.604978, Average Loss  0.603360, Time  0.230467
2021-09-15 04:55:58.763850 : Epoch  5, Batch    666, Loss  0.595269, Average Loss  0.607568, Time  0.240118
2021-09-15 04:55:58.808841 : Epoch  7, Batch     15, Loss  0.607025, Average Loss  0.603358, Time  0.231385
2021-09-15 04:56:00.345942 : Epoch  5, Batch    667, Loss  0.614894, Average Loss  0.607684, Time  0.242948
2021-09-15 04:56:00.378101 : Epoch  7, Batch     16, Loss  0.601471, Average Loss  0.603407, Time  0.231413
2021-09-15 04:56:01.868161 : Epoch  5, Batch    668, Loss  0.605475, Average Loss  0.607678, Time  0.238595
2021-09-15 04:56:01.925663 : Epoch  7, Batch     17, Loss  0.598599, Average Loss  0.603366, Time  0.231123
2021-09-15 04:56:03.394761 : Epoch  5, Batch    669, Loss  0.601030, Average Loss  0.607636, Time  0.238927
2021-09-15 04:56:03.458555 : Epoch  7, Batch     18, Loss  0.602348, Average Loss  0.603416, Time  0.232390
2021-09-15 04:56:04.944980 : Epoch  5, Batch    670, Loss  0.599140, Average Loss  0.607608, Time  0.240221
2021-09-15 04:56:05.003637 : Epoch  7, Batch     19, Loss  0.610371, Average Loss  0.603447, Time  0.230255
2021-09-15 04:56:06.476842 : Epoch  5, Batch    671, Loss  0.599765, Average Loss  0.607581, Time  0.239616
2021-09-15 04:56:06.546573 : Epoch  7, Batch     20, Loss  0.598284, Average Loss  0.603417, Time  0.230863
2021-09-15 04:56:07.525830 : CheckPoint: Validation Loss  0.00030811, Best Loss  0.00029921
2021-09-15 04:56:08.004105 : Epoch  5, Batch    672, Loss  0.602571, Average Loss  0.607508, Time  0.239058
2021-09-15 04:56:08.088324 : Epoch  7, Batch     21, Loss  0.608504, Average Loss  0.603513, Time  0.230810
2021-09-15 04:56:09.522423 : Epoch  5, Batch    673, Loss  0.613060, Average Loss  0.607511, Time  0.238677
2021-09-15 04:56:09.615940 : Epoch  7, Batch     22, Loss  0.598604, Average Loss  0.603485, Time  0.230849
2021-09-15 04:56:10.534074 : Epoch  1, Batch   1701, Loss  0.882862, Average Loss  0.875224, Time  0.267472
2021-09-15 04:56:11.040143 : Epoch  5, Batch    674, Loss  0.602276, Average Loss  0.607477, Time  0.236362
2021-09-15 04:56:11.152403 : Epoch  7, Batch     23, Loss  0.587359, Average Loss  0.603422, Time  0.231274
2021-09-15 04:56:12.549239 : Epoch  5, Batch    675, Loss  0.623621, Average Loss  0.607527, Time  0.236331
2021-09-15 04:56:12.698261 : Epoch  7, Batch     24, Loss  0.594223, Average Loss  0.603376, Time  0.232056
2021-09-15 04:56:13.522537 : Epoch  1, Batch   1702, Loss  0.896207, Average Loss  0.875342, Time  0.266855
2021-09-15 04:56:14.229836 : Epoch  7, Batch     25, Loss  0.598319, Average Loss  0.603337, Time  0.232157
2021-09-15 04:56:14.267044 : Epoch  5, Batch    676, Loss  0.608571, Average Loss  0.607484, Time  0.260057
2021-09-15 04:56:15.784361 : Epoch  7, Batch     26, Loss  0.603262, Average Loss  0.603312, Time  0.231223
2021-09-15 04:56:15.958114 : Epoch  5, Batch    677, Loss  0.610945, Average Loss  0.607483, Time  0.259398
2021-09-15 04:56:16.128876 : Epoch  5, Batch    678, Loss  0.516677, Average Loss  0.607111, Time  0.128100
2021-09-15 04:56:16.523668 : Epoch  1, Batch   1703, Loss  0.846554, Average Loss  0.875266, Time  0.264856
2021-09-15 04:56:17.321877 : Epoch  7, Batch     27, Loss  0.601517, Average Loss  0.603362, Time  0.231161
2021-09-15 04:56:17.819919 : Epoch  5, Batch    679, Loss  0.623893, Average Loss  0.607192, Time  0.259433
2021-09-15 04:56:18.864129 : Epoch  7, Batch     28, Loss  0.603234, Average Loss  0.603400, Time  0.231375
2021-09-15 04:56:19.510893 : Epoch  5, Batch    680, Loss  0.636890, Average Loss  0.607329, Time  0.261027
2021-09-15 04:56:19.515087 : Epoch  1, Batch   1704, Loss  0.858843, Average Loss  0.875179, Time  0.265504
2021-09-15 04:56:20.409051 : Epoch  7, Batch     29, Loss  0.611604, Average Loss  0.603445, Time  0.231026
2021-09-15 04:56:21.207971 : Epoch  5, Batch    681, Loss  0.629340, Average Loss  0.607423, Time  0.262669
2021-09-15 04:56:21.949890 : Epoch  7, Batch     30, Loss  0.598066, Average Loss  0.603372, Time  0.231481
2021-09-15 04:56:22.567820 : Epoch  1, Batch   1705, Loss  0.854386, Average Loss  0.875159, Time  0.264343
2021-09-15 04:56:22.865992 : Epoch  5, Batch    682, Loss  0.622035, Average Loss  0.607438, Time  0.238939
2021-09-15 04:56:23.540803 : Epoch  7, Batch     31, Loss  0.608695, Average Loss  0.603351, Time  0.232505
2021-09-15 04:56:24.574095 : Epoch  5, Batch    683, Loss  0.631056, Average Loss  0.607571, Time  0.277252
2021-09-15 04:56:25.142847 : Epoch  7, Batch     32, Loss  0.601328, Average Loss  0.603364, Time  0.231434
2021-09-15 04:56:25.565841 : Epoch  1, Batch   1706, Loss  0.882724, Average Loss  0.875328, Time  0.264444
2021-09-15 04:56:26.243086 : Epoch  5, Batch    684, Loss  0.632450, Average Loss  0.607682, Time  0.239669
2021-09-15 04:56:26.689826 : Epoch  7, Batch     33, Loss  0.604235, Average Loss  0.603361, Time  0.231118
2021-09-15 04:56:27.938931 : Epoch  5, Batch    685, Loss  0.637409, Average Loss  0.607752, Time  0.260248
2021-09-15 04:56:28.239701 : Epoch  7, Batch     34, Loss  0.600291, Average Loss  0.603376, Time  0.231284
2021-09-15 04:56:28.567427 : Epoch  1, Batch   1707, Loss  0.883888, Average Loss  0.875259, Time  0.265463
2021-09-15 04:56:29.619829 : Epoch  5, Batch    686, Loss  0.624382, Average Loss  0.607824, Time  0.261141
2021-09-15 04:56:29.782324 : Epoch  7, Batch     35, Loss  0.607326, Average Loss  0.603420, Time  0.230968
2021-09-15 04:56:31.316355 : Epoch  7, Batch     36, Loss  0.609263, Average Loss  0.603542, Time  0.231213
2021-09-15 04:56:31.349903 : Epoch  5, Batch    687, Loss  0.625221, Average Loss  0.607971, Time  0.258369
2021-09-15 04:56:31.554257 : Epoch  1, Batch   1708, Loss  0.868043, Average Loss  0.875245, Time  0.264985
2021-09-15 04:56:32.860070 : Epoch  7, Batch     37, Loss  0.601390, Average Loss  0.603484, Time  0.230561
2021-09-15 04:56:33.039346 : Epoch  5, Batch    688, Loss  0.627051, Average Loss  0.608045, Time  0.261580
2021-09-15 04:56:34.402710 : Epoch  7, Batch     38, Loss  0.595571, Average Loss  0.603410, Time  0.231133
2021-09-15 04:56:34.570257 : Epoch  1, Batch   1709, Loss  0.864995, Average Loss  0.875238, Time  0.274201
2021-09-15 04:56:35.949143 : Epoch  7, Batch     39, Loss  0.611680, Average Loss  0.603395, Time  0.233032
2021-09-15 04:56:36.089346 : Epoch  5, Batch    690, Loss  0.630837, Average Loss  0.608244, Time  0.241309
2021-09-15 04:56:37.498696 : Epoch  7, Batch     40, Loss  0.603089, Average Loss  0.603402, Time  0.232347
2021-09-15 04:56:37.596330 : Epoch  1, Batch   1710, Loss  0.854418, Average Loss  0.875125, Time  0.265249
2021-09-15 04:56:37.633115 : Epoch  5, Batch    691, Loss  0.622674, Average Loss  0.608365, Time  0.241378
2021-09-15 04:56:39.041086 : Epoch  7, Batch     41, Loss  0.611525, Average Loss  0.603476, Time  0.231513
2021-09-15 04:56:39.140851 : Epoch  5, Batch    692, Loss  0.636025, Average Loss  0.608522, Time  0.236679
2021-09-15 04:56:40.574136 : Epoch  1, Batch   1711, Loss  0.862712, Average Loss  0.875027, Time  0.264849
2021-09-15 04:56:40.595890 : Epoch  7, Batch     42, Loss  0.591585, Average Loss  0.603341, Time  0.232370
2021-09-15 04:56:40.642392 : Epoch  5, Batch    693, Loss  0.630556, Average Loss  0.608550, Time  0.236385
2021-09-15 04:56:42.125033 : Epoch  7, Batch     43, Loss  0.602643, Average Loss  0.603281, Time  0.230347
2021-09-15 04:56:42.169317 : Epoch  5, Batch    694, Loss  0.630656, Average Loss  0.608677, Time  0.236664
2021-09-15 04:56:43.583140 : Epoch  1, Batch   1712, Loss  0.904153, Average Loss  0.875185, Time  0.265178
2021-09-15 04:56:43.671326 : Epoch  7, Batch     44, Loss  0.606907, Average Loss  0.603241, Time  0.230491
2021-09-15 04:56:43.696047 : Epoch  5, Batch    695, Loss  0.620300, Average Loss  0.608758, Time  0.239054
2021-09-15 04:56:45.204679 : Epoch  7, Batch     45, Loss  0.593101, Average Loss  0.603257, Time  0.231575
2021-09-15 04:56:45.238997 : Epoch  5, Batch    696, Loss  0.622399, Average Loss  0.608841, Time  0.241997
2021-09-15 04:56:46.602439 : Epoch  1, Batch   1713, Loss  0.883509, Average Loss  0.875296, Time  0.265367
2021-09-15 04:56:46.744250 : Epoch  7, Batch     46, Loss  0.600796, Average Loss  0.603173, Time  0.231568
2021-09-15 04:56:46.762999 : Epoch  5, Batch    697, Loss  0.627164, Average Loss  0.608903, Time  0.240518
2021-09-15 04:56:48.268383 : Epoch  7, Batch     47, Loss  0.598395, Average Loss  0.603103, Time  0.231319
2021-09-15 04:56:48.303906 : Epoch  5, Batch    698, Loss  0.626437, Average Loss  0.609046, Time  0.242923
2021-09-15 04:56:49.659424 : Epoch  1, Batch   1714, Loss  0.873962, Average Loss  0.875290, Time  0.265288
2021-09-15 04:56:49.816120 : Epoch  7, Batch     48, Loss  0.600118, Average Loss  0.603070, Time  0.232782
2021-09-15 04:56:49.837487 : Epoch  5, Batch    699, Loss  0.621250, Average Loss  0.609088, Time  0.241574
2021-09-15 04:56:51.345874 : Epoch  5, Batch    700, Loss  0.624309, Average Loss  0.609156, Time  0.240165
2021-09-15 04:56:51.386901 : Epoch  7, Batch     49, Loss  0.597040, Average Loss  0.602995, Time  0.231523
2021-09-15 04:56:52.676621 : Epoch  1, Batch   1715, Loss  0.867662, Average Loss  0.875212, Time  0.265542
2021-09-15 04:56:52.862897 : Epoch  5, Batch    701, Loss  0.620623, Average Loss  0.609209, Time  0.238170
2021-09-15 04:56:52.927595 : Epoch  7, Batch     50, Loss  0.604372, Average Loss  0.603070, Time  0.238116
2021-09-15 04:56:54.384008 : Epoch  5, Batch    702, Loss  0.608768, Average Loss  0.609181, Time  0.239728
2021-09-15 04:56:54.494468 : Epoch  7, Batch     51, Loss  0.618878, Average Loss  0.603101, Time  0.232976
2021-09-15 04:56:55.714383 : Epoch  1, Batch   1716, Loss  0.893815, Average Loss  0.875323, Time  0.264649
2021-09-15 04:56:55.906796 : Epoch  5, Batch    703, Loss  0.613000, Average Loss  0.609215, Time  0.241289
2021-09-15 04:56:56.041698 : Epoch  7, Batch     52, Loss  0.598165, Average Loss  0.603092, Time  0.232304
2021-09-15 04:56:57.429802 : Epoch  5, Batch    704, Loss  0.616552, Average Loss  0.609249, Time  0.238948
2021-09-15 04:56:57.592183 : Epoch  7, Batch     53, Loss  0.602745, Average Loss  0.603157, Time  0.234348
2021-09-15 04:56:58.708933 : Epoch  1, Batch   1717, Loss  0.889196, Average Loss  0.875468, Time  0.264647
2021-09-15 04:56:58.954987 : Epoch  5, Batch    705, Loss  0.618269, Average Loss  0.609298, Time  0.239580
2021-09-15 04:56:59.124860 : Epoch  7, Batch     54, Loss  0.609189, Average Loss  0.603187, Time  0.231760
2021-09-15 04:57:00.471951 : Epoch  5, Batch    706, Loss  0.622956, Average Loss  0.609408, Time  0.237708
2021-09-15 04:57:00.671639 : Epoch  7, Batch     55, Loss  0.589055, Average Loss  0.603093, Time  0.231417
2021-09-15 04:57:01.722489 : Epoch  1, Batch   1718, Loss  0.892607, Average Loss  0.875645, Time  0.266639
2021-09-15 04:57:02.021331 : Epoch  5, Batch    707, Loss  0.616321, Average Loss  0.609478, Time  0.240874
2021-09-15 04:57:02.221402 : Epoch  7, Batch     56, Loss  0.607322, Average Loss  0.603119, Time  0.231168
2021-09-15 04:57:03.680414 : Epoch  5, Batch    708, Loss  0.616073, Average Loss  0.609558, Time  0.256599
2021-09-15 04:57:03.758501 : Epoch  7, Batch     57, Loss  0.611109, Average Loss  0.603172, Time  0.232519
2021-09-15 04:57:04.715235 : Epoch  1, Batch   1719, Loss  0.884070, Average Loss  0.875747, Time  0.265827
2021-09-15 04:57:05.207930 : Epoch  5, Batch    709, Loss  0.618828, Average Loss  0.609645, Time  0.238549
2021-09-15 04:57:05.302413 : Epoch  7, Batch     58, Loss  0.599719, Average Loss  0.603163, Time  0.232361
2021-09-15 04:57:06.717793 : Epoch  5, Batch    710, Loss  0.606020, Average Loss  0.609629, Time  0.240698
2021-09-15 04:57:06.835058 : Epoch  7, Batch     59, Loss  0.599598, Average Loss  0.603142, Time  0.231184
2021-09-15 04:57:07.736110 : Epoch  1, Batch   1720, Loss  0.909299, Average Loss  0.875870, Time  0.266022
2021-09-15 04:57:08.373089 : Epoch  7, Batch     60, Loss  0.611579, Average Loss  0.603255, Time  0.231520
2021-09-15 04:57:08.403479 : Epoch  5, Batch    711, Loss  0.614056, Average Loss  0.609663, Time  0.257394
2021-09-15 04:57:09.920642 : Epoch  7, Batch     61, Loss  0.589143, Average Loss  0.603186, Time  0.231367
2021-09-15 04:57:10.082818 : Epoch  5, Batch    712, Loss  0.612916, Average Loss  0.609666, Time  0.261396
2021-09-15 04:57:10.773791 : Epoch  1, Batch   1721, Loss  0.877512, Average Loss  0.875934, Time  0.265322
2021-09-15 04:57:11.462687 : Epoch  7, Batch     62, Loss  0.599911, Average Loss  0.603193, Time  0.231263
2021-09-15 04:57:11.758090 : Epoch  5, Batch    713, Loss  0.615018, Average Loss  0.609621, Time  0.261373
2021-09-15 04:57:13.018827 : Epoch  7, Batch     63, Loss  0.618786, Average Loss  0.603307, Time  0.230976
2021-09-15 04:57:13.426877 : Epoch  5, Batch    714, Loss  0.611460, Average Loss  0.609661, Time  0.258344
2021-09-15 04:57:13.759308 : Epoch  1, Batch   1722, Loss  0.852700, Average Loss  0.875726, Time  0.264659
2021-09-15 04:57:14.589645 : Epoch  7, Batch     64, Loss  0.607283, Average Loss  0.603361, Time  0.231436
2021-09-15 04:57:15.105257 : Epoch  5, Batch    715, Loss  0.612696, Average Loss  0.609649, Time  0.262904
2021-09-15 04:57:16.137880 : Epoch  7, Batch     65, Loss  0.601301, Average Loss  0.603378, Time  0.232301
2021-09-15 04:57:16.618389 : Epoch  5, Batch    716, Loss  0.614701, Average Loss  0.609696, Time  0.241873
2021-09-15 04:57:16.746005 : Epoch  1, Batch   1723, Loss  0.876700, Average Loss  0.875885, Time  0.265033
2021-09-15 04:57:17.679401 : Epoch  7, Batch     66, Loss  0.596151, Average Loss  0.603387, Time  0.231722
2021-09-15 04:57:18.150830 : Epoch  5, Batch    717, Loss  0.601150, Average Loss  0.609716, Time  0.240199
2021-09-15 04:57:19.226843 : Epoch  7, Batch     67, Loss  0.607649, Average Loss  0.603388, Time  0.232294
2021-09-15 04:57:19.685874 : Epoch  5, Batch    718, Loss  0.601466, Average Loss  0.609681, Time  0.238279
2021-09-15 04:57:19.787857 : Epoch  1, Batch   1724, Loss  0.884117, Average Loss  0.875974, Time  0.277442
2021-09-15 04:57:20.774258 : Epoch  7, Batch     68, Loss  0.593267, Average Loss  0.603337, Time  0.230826
2021-09-15 04:57:21.245211 : Epoch  5, Batch    719, Loss  0.616850, Average Loss  0.609741, Time  0.241610
2021-09-15 04:57:22.318391 : Epoch  7, Batch     69, Loss  0.594162, Average Loss  0.603279, Time  0.231524
2021-09-15 04:57:22.817058 : Epoch  1, Batch   1725, Loss  0.844552, Average Loss  0.875791, Time  0.265335
2021-09-15 04:57:22.923929 : Epoch  5, Batch    720, Loss  0.609968, Average Loss  0.609769, Time  0.260326
2021-09-15 04:57:23.865816 : Epoch  7, Batch     70, Loss  0.617073, Average Loss  0.603325, Time  0.231158
2021-09-15 04:57:24.440970 : Epoch  5, Batch    721, Loss  0.611296, Average Loss  0.609843, Time  0.237571
2021-09-15 04:57:25.414401 : Epoch  7, Batch     71, Loss  0.613691, Average Loss  0.603412, Time  0.232901
2021-09-15 04:57:25.825173 : Epoch  1, Batch   1726, Loss  0.891190, Average Loss  0.875830, Time  0.265956
2021-09-15 04:57:25.969024 : Epoch  5, Batch    722, Loss  0.610644, Average Loss  0.609893, Time  0.240281
2021-09-15 04:57:26.963172 : Epoch  7, Batch     72, Loss  0.611650, Average Loss  0.603400, Time  0.231494
2021-09-15 04:57:27.513801 : Epoch  5, Batch    723, Loss  0.605212, Average Loss  0.609871, Time  0.241522
2021-09-15 04:57:28.514727 : Epoch  7, Batch     73, Loss  0.630090, Average Loss  0.603556, Time  0.231936
2021-09-15 04:57:28.852678 : Epoch  1, Batch   1727, Loss  0.871906, Average Loss  0.875813, Time  0.265137
2021-09-15 04:57:30.066654 : Epoch  7, Batch     74, Loss  0.603927, Average Loss  0.603504, Time  0.231391
2021-09-15 04:57:31.358071 : Epoch  5, Batch    724, Loss  0.615133, Average Loss  0.609868, Time  0.276244
2021-09-15 04:57:31.618684 : Epoch  7, Batch     75, Loss  0.592089, Average Loss  0.603452, Time  0.230913
2021-09-15 04:57:31.851264 : Epoch  1, Batch   1728, Loss  0.878064, Average Loss  0.875746, Time  0.264766
2021-09-15 04:57:32.915003 : Epoch  5, Batch    725, Loss  0.615314, Average Loss  0.609906, Time  0.259127
2021-09-15 04:57:33.156652 : Epoch  7, Batch     76, Loss  0.593436, Average Loss  0.603450, Time  0.231046
2021-09-15 04:57:34.454024 : Epoch  5, Batch    726, Loss  0.617957, Average Loss  0.609974, Time  0.242883
2021-09-15 04:57:34.696724 : Epoch  7, Batch     77, Loss  0.607609, Average Loss  0.603438, Time  0.230939
2021-09-15 04:57:34.833020 : Epoch  1, Batch   1729, Loss  0.853970, Average Loss  0.875625, Time  0.264904
2021-09-15 04:57:35.990397 : Epoch  5, Batch    727, Loss  0.613535, Average Loss  0.610002, Time  0.240541
2021-09-15 04:57:36.236063 : Epoch  7, Batch     78, Loss  0.603877, Average Loss  0.603426, Time  0.231598
2021-09-15 04:57:37.537455 : Epoch  5, Batch    728, Loss  0.614724, Average Loss  0.610058, Time  0.241272
2021-09-15 04:57:37.817558 : Epoch  1, Batch   1730, Loss  0.881862, Average Loss  0.875576, Time  0.264536
2021-09-15 04:57:39.070987 : Epoch  5, Batch    729, Loss  0.608508, Average Loss  0.610039, Time  0.240559
2021-09-15 04:57:40.593857 : Epoch  5, Batch    730, Loss  0.607481, Average Loss  0.610127, Time  0.238844
2021-09-15 04:57:40.811021 : Epoch  1, Batch   1731, Loss  0.871750, Average Loss  0.875586, Time  0.264485
2021-09-15 04:57:42.124340 : Epoch  5, Batch    731, Loss  0.619887, Average Loss  0.610192, Time  0.237942
2021-09-15 04:57:43.665947 : Epoch  5, Batch    732, Loss  0.614525, Average Loss  0.610245, Time  0.241447
2021-09-15 04:57:43.798459 : Epoch  1, Batch   1732, Loss  0.868540, Average Loss  0.875601, Time  0.266825
2021-09-15 04:57:45.228922 : Epoch  5, Batch    733, Loss  0.628313, Average Loss  0.610338, Time  0.239551
2021-09-15 04:57:46.752871 : Epoch  5, Batch    734, Loss  0.604421, Average Loss  0.610310, Time  0.239794
2021-09-15 04:57:46.808851 : Epoch  1, Batch   1733, Loss  0.880712, Average Loss  0.875605, Time  0.265224
2021-09-15 04:57:48.285847 : Epoch  5, Batch    735, Loss  0.596903, Average Loss  0.610204, Time  0.237991
2021-09-15 04:57:49.822040 : Epoch  1, Batch   1734, Loss  0.853736, Average Loss  0.875507, Time  0.265233
2021-09-15 04:57:49.827885 : Epoch  5, Batch    736, Loss  0.607812, Average Loss  0.610173, Time  0.239969
2021-09-15 04:57:51.405998 : Epoch  5, Batch    737, Loss  0.608712, Average Loss  0.610146, Time  0.241585
2021-09-15 04:57:52.861440 : Epoch  1, Batch   1735, Loss  0.875179, Average Loss  0.875584, Time  0.265430
2021-09-15 04:57:53.082946 : Epoch  5, Batch    738, Loss  0.612954, Average Loss  0.610135, Time  0.258292
2021-09-15 04:57:54.758286 : Epoch  5, Batch    739, Loss  0.611354, Average Loss  0.610177, Time  0.257778
2021-09-15 04:57:55.888968 : Epoch  1, Batch   1736, Loss  0.856596, Average Loss  0.875496, Time  0.265631
2021-09-15 04:57:56.330456 : Epoch  5, Batch    740, Loss  0.608272, Average Loss  0.610191, Time  0.241449
2021-09-15 04:57:57.856780 : Epoch  5, Batch    741, Loss  0.613355, Average Loss  0.610247, Time  0.240964
2021-09-15 04:57:58.922468 : Epoch  1, Batch   1737, Loss  0.870430, Average Loss  0.875504, Time  0.265924
2021-09-15 04:57:59.386776 : Epoch  5, Batch    742, Loss  0.614376, Average Loss  0.610283, Time  0.240677
2021-09-15 04:58:00.908949 : Epoch  5, Batch    743, Loss  0.609809, Average Loss  0.610261, Time  0.240840
2021-09-15 04:58:01.936490 : Epoch  1, Batch   1738, Loss  0.873504, Average Loss  0.875502, Time  0.267239
2021-09-15 04:58:02.481795 : Epoch  5, Batch    744, Loss  0.618390, Average Loss  0.610279, Time  0.240661
2021-09-15 04:58:04.015814 : Epoch  5, Batch    745, Loss  0.608348, Average Loss  0.610273, Time  0.241433
2021-09-15 04:58:04.973101 : Epoch  1, Batch   1739, Loss  0.873163, Average Loss  0.875433, Time  0.274367
2021-09-15 04:58:05.549392 : Epoch  5, Batch    746, Loss  0.602846, Average Loss  0.610237, Time  0.240377
2021-09-15 04:58:07.081851 : Epoch  5, Batch    747, Loss  0.602997, Average Loss  0.610222, Time  0.238767
2021-09-15 04:58:07.978646 : Epoch  1, Batch   1740, Loss  0.876011, Average Loss  0.875399, Time  0.265554
2021-09-15 04:58:08.625240 : Epoch  5, Batch    748, Loss  0.602162, Average Loss  0.610215, Time  0.239689
2021-09-15 04:58:10.158904 : Epoch  5, Batch    749, Loss  0.608999, Average Loss  0.610172, Time  0.239165
2021-09-15 04:58:11.018676 : Epoch  1, Batch   1741, Loss  0.855712, Average Loss  0.875325, Time  0.265522
2021-09-15 04:58:11.707013 : Epoch  5, Batch    750, Loss  0.598829, Average Loss  0.610145, Time  0.239896
2021-09-15 04:58:13.230148 : Epoch  5, Batch    751, Loss  0.604622, Average Loss  0.610166, Time  0.238049
2021-09-15 04:58:14.045758 : Epoch  1, Batch   1742, Loss  0.851730, Average Loss  0.875209, Time  0.265173
2021-09-15 04:58:14.785979 : Epoch  5, Batch    752, Loss  0.605278, Average Loss  0.610133, Time  0.242095
2021-09-15 04:58:17.046675 : Epoch  1, Batch   1743, Loss  0.873223, Average Loss  0.875174, Time  0.265876
2021-09-15 04:58:20.060975 : Epoch  1, Batch   1744, Loss  0.861883, Average Loss  0.875094, Time  0.264862
2021-09-15 04:58:23.077276 : Epoch  1, Batch   1745, Loss  0.883438, Average Loss  0.875039, Time  0.264860
2021-09-15 04:58:26.140390 : Epoch  1, Batch   1746, Loss  0.882542, Average Loss  0.875005, Time  0.264806
2021-09-15 04:58:29.137912 : Epoch  1, Batch   1747, Loss  0.874394, Average Loss  0.874972, Time  0.265999
2021-09-15 04:58:32.131804 : Epoch  1, Batch   1748, Loss  0.873409, Average Loss  0.875039, Time  0.264990
2021-09-15 04:58:33.984712 : CheckPoint: Validation Loss  0.00025495, Best Loss  0.00024571
2021-09-15 04:58:35.125642 : Epoch  1, Batch   1749, Loss  0.856425, Average Loss  0.874809, Time  0.264403
2021-09-15 04:58:35.533013 : Epoch  7, Batch     79, Loss  0.611824, Average Loss  0.603409, Time  0.231737
2021-09-15 04:58:37.068575 : Epoch  7, Batch     80, Loss  0.591913, Average Loss  0.603385, Time  0.231087
2021-09-15 04:58:38.123973 : Epoch  1, Batch   1750, Loss  0.903079, Average Loss  0.874995, Time  0.265357
2021-09-15 04:58:38.613151 : Epoch  7, Batch     81, Loss  0.615356, Average Loss  0.603525, Time  0.232925
2021-09-15 04:58:40.154419 : Epoch  7, Batch     82, Loss  0.617265, Average Loss  0.603658, Time  0.231649
2021-09-15 04:58:41.124633 : Epoch  1, Batch   1751, Loss  0.867212, Average Loss  0.874931, Time  0.264867
2021-09-15 04:58:41.709648 : Epoch  7, Batch     83, Loss  0.603184, Average Loss  0.603694, Time  0.231018
2021-09-15 04:58:43.253666 : Epoch  7, Batch     84, Loss  0.586348, Average Loss  0.603625, Time  0.231494
2021-09-15 04:58:44.128035 : Epoch  1, Batch   1752, Loss  0.863754, Average Loss  0.874994, Time  0.265439
2021-09-15 04:58:44.801050 : Epoch  7, Batch     85, Loss  0.605481, Average Loss  0.603556, Time  0.231498
2021-09-15 04:58:46.354967 : Epoch  7, Batch     86, Loss  0.605243, Average Loss  0.603540, Time  0.232516
2021-09-15 04:58:47.151947 : Epoch  1, Batch   1753, Loss  0.858196, Average Loss  0.874832, Time  0.265063
2021-09-15 04:58:47.909059 : Epoch  7, Batch     87, Loss  0.607587, Average Loss  0.603522, Time  0.231134
2021-09-15 04:58:49.478669 : Epoch  7, Batch     88, Loss  0.615498, Average Loss  0.603574, Time  0.231817
2021-09-15 04:58:50.185301 : Epoch  1, Batch   1754, Loss  0.893035, Average Loss  0.874943, Time  0.277042
2021-09-15 04:58:51.023413 : Epoch  7, Batch     89, Loss  0.613283, Average Loss  0.603638, Time  0.231482
2021-09-15 04:58:52.574182 : Epoch  7, Batch     90, Loss  0.608855, Average Loss  0.603647, Time  0.231317
2021-09-15 04:58:53.174946 : Epoch  1, Batch   1755, Loss  0.889515, Average Loss  0.874988, Time  0.266062
2021-09-15 04:58:54.138183 : Epoch  7, Batch     91, Loss  0.598581, Average Loss  0.603592, Time  0.231349
2021-09-15 04:58:55.681311 : Epoch  7, Batch     92, Loss  0.602377, Average Loss  0.603580, Time  0.230854
2021-09-15 04:58:56.173592 : Epoch  1, Batch   1756, Loss  0.886299, Average Loss  0.875036, Time  0.263914
2021-09-15 04:58:57.226978 : Epoch  7, Batch     93, Loss  0.609921, Average Loss  0.603624, Time  0.230622
2021-09-15 04:58:58.774978 : Epoch  7, Batch     94, Loss  0.612787, Average Loss  0.603687, Time  0.230535
2021-09-15 04:58:59.146526 : Epoch  1, Batch   1757, Loss  0.879016, Average Loss  0.875070, Time  0.265132
2021-09-15 04:59:00.324704 : Epoch  7, Batch     95, Loss  0.613011, Average Loss  0.603692, Time  0.232200
2021-09-15 04:59:01.874951 : Epoch  7, Batch     96, Loss  0.594826, Average Loss  0.603655, Time  0.230882
2021-09-15 04:59:02.154091 : Epoch  1, Batch   1758, Loss  0.877072, Average Loss  0.875074, Time  0.267136
2021-09-15 04:59:03.416880 : Epoch  7, Batch     97, Loss  0.603087, Average Loss  0.603625, Time  0.230924
2021-09-15 04:59:04.969381 : Epoch  7, Batch     98, Loss  0.595514, Average Loss  0.603541, Time  0.230982
2021-09-15 04:59:05.137745 : Epoch  1, Batch   1759, Loss  0.869729, Average Loss  0.875029, Time  0.264692
2021-09-15 04:59:06.515982 : Epoch  7, Batch     99, Loss  0.603891, Average Loss  0.603555, Time  0.231386
2021-09-15 04:59:08.056760 : Epoch  7, Batch    100, Loss  0.611580, Average Loss  0.603645, Time  0.230994
2021-09-15 04:59:08.140422 : Epoch  1, Batch   1760, Loss  0.857799, Average Loss  0.874862, Time  0.266176
2021-09-15 04:59:09.608818 : Epoch  7, Batch    101, Loss  0.601894, Average Loss  0.603589, Time  0.231354
2021-09-15 04:59:11.142717 : Epoch  1, Batch   1761, Loss  0.877092, Average Loss  0.874917, Time  0.265711
2021-09-15 04:59:11.157545 : Epoch  7, Batch    102, Loss  0.616060, Average Loss  0.603663, Time  0.231423
2021-09-15 04:59:12.431699 : CheckPoint: Validation Loss  0.00025815, Best Loss  0.00024341
2021-09-15 04:59:12.722373 : Epoch  7, Batch    103, Loss  0.616212, Average Loss  0.603691, Time  0.230941
2021-09-15 04:59:13.995049 : Epoch  5, Batch    753, Loss  0.602969, Average Loss  0.610091, Time  0.276022
2021-09-15 04:59:14.166491 : Epoch  1, Batch   1762, Loss  0.887657, Average Loss  0.874962, Time  0.264455
2021-09-15 04:59:14.269011 : Epoch  7, Batch    104, Loss  0.614085, Average Loss  0.603724, Time  0.232011
2021-09-15 04:59:15.542547 : Epoch  5, Batch    754, Loss  0.612781, Average Loss  0.610119, Time  0.253553
2021-09-15 04:59:15.815377 : Epoch  7, Batch    105, Loss  0.596024, Average Loss  0.603690, Time  0.231195
2021-09-15 04:59:17.076830 : Epoch  5, Batch    755, Loss  0.600534, Average Loss  0.610093, Time  0.240510
2021-09-15 04:59:17.159485 : Epoch  1, Batch   1763, Loss  0.872632, Average Loss  0.874988, Time  0.264796
2021-09-15 04:59:17.360629 : Epoch  7, Batch    106, Loss  0.598913, Average Loss  0.603739, Time  0.231051
2021-09-15 04:59:18.611940 : Epoch  5, Batch    756, Loss  0.604754, Average Loss  0.610093, Time  0.239459
2021-09-15 04:59:18.920026 : Epoch  7, Batch    107, Loss  0.600234, Average Loss  0.603731, Time  0.231588
2021-09-15 04:59:20.145326 : Epoch  1, Batch   1764, Loss  0.862056, Average Loss  0.874958, Time  0.264865
2021-09-15 04:59:20.154862 : Epoch  5, Batch    757, Loss  0.597845, Average Loss  0.610027, Time  0.239247
2021-09-15 04:59:20.469073 : Epoch  7, Batch    108, Loss  0.600614, Average Loss  0.603669, Time  0.231454
2021-09-15 04:59:21.854022 : Epoch  5, Batch    758, Loss  0.623183, Average Loss  0.610072, Time  0.257101
2021-09-15 04:59:22.004353 : Epoch  7, Batch    109, Loss  0.605556, Average Loss  0.603732, Time  0.231009
2021-09-15 04:59:23.137042 : Epoch  1, Batch   1765, Loss  0.873051, Average Loss  0.874899, Time  0.265038
2021-09-15 04:59:23.389998 : Epoch  5, Batch    759, Loss  0.601576, Average Loss  0.610073, Time  0.237647
2021-09-15 04:59:23.546054 : Epoch  7, Batch    110, Loss  0.596029, Average Loss  0.603731, Time  0.231505
2021-09-15 04:59:25.074009 : Epoch  5, Batch    760, Loss  0.601957, Average Loss  0.610018, Time  0.258094
2021-09-15 04:59:25.098425 : Epoch  7, Batch    111, Loss  0.599359, Average Loss  0.603694, Time  0.231158
2021-09-15 04:59:26.122489 : Epoch  1, Batch   1766, Loss  0.863476, Average Loss  0.874882, Time  0.264632
2021-09-15 04:59:26.598008 : Epoch  5, Batch    761, Loss  0.599991, Average Loss  0.609984, Time  0.241720
2021-09-15 04:59:26.643576 : Epoch  7, Batch    112, Loss  0.614275, Average Loss  0.603775, Time  0.231318
2021-09-15 04:59:28.179996 : Epoch  7, Batch    113, Loss  0.597963, Average Loss  0.603744, Time  0.231559
2021-09-15 04:59:28.270358 : Epoch  5, Batch    762, Loss  0.614304, Average Loss  0.610017, Time  0.259300
2021-09-15 04:59:29.118496 : Epoch  1, Batch   1767, Loss  0.879939, Average Loss  0.874987, Time  0.265365
2021-09-15 04:59:29.724160 : Epoch  7, Batch    114, Loss  0.614926, Average Loss  0.603816, Time  0.231645
2021-09-15 04:59:29.941772 : Epoch  5, Batch    763, Loss  0.605467, Average Loss  0.609968, Time  0.256965
2021-09-15 04:59:31.263817 : Epoch  7, Batch    115, Loss  0.593597, Average Loss  0.603833, Time  0.231503
2021-09-15 04:59:31.477422 : Epoch  5, Batch    764, Loss  0.619462, Average Loss  0.609968, Time  0.239775
2021-09-15 04:59:32.148478 : Epoch  1, Batch   1768, Loss  0.882422, Average Loss  0.875049, Time  0.265298
2021-09-15 04:59:32.807313 : Epoch  7, Batch    116, Loss  0.606153, Average Loss  0.603873, Time  0.232767
2021-09-15 04:59:33.015971 : Epoch  5, Batch    765, Loss  0.610004, Average Loss  0.610004, Time  0.242328
2021-09-15 04:59:34.343748 : Epoch  7, Batch    117, Loss  0.599405, Average Loss  0.603855, Time  0.231216
2021-09-15 04:59:34.535811 : Epoch  5, Batch    766, Loss  0.616574, Average Loss  0.610006, Time  0.238212
2021-09-15 04:59:35.180573 : Epoch  1, Batch   1769, Loss  0.862808, Average Loss  0.874985, Time  0.277716
2021-09-15 04:59:35.889953 : Epoch  7, Batch    118, Loss  0.598941, Average Loss  0.603818, Time  0.231484
2021-09-15 04:59:36.049831 : Epoch  5, Batch    767, Loss  0.608052, Average Loss  0.610045, Time  0.238345
2021-09-15 04:59:37.424938 : Epoch  7, Batch    119, Loss  0.599998, Average Loss  0.603860, Time  0.231666
2021-09-15 04:59:37.576126 : Epoch  5, Batch    768, Loss  0.610280, Average Loss  0.610078, Time  0.239984
2021-09-15 04:59:38.197136 : Epoch  1, Batch   1770, Loss  0.863376, Average Loss  0.874928, Time  0.265768
2021-09-15 04:59:38.963950 : Epoch  7, Batch    120, Loss  0.600129, Average Loss  0.603855, Time  0.232682
2021-09-15 04:59:39.183983 : Epoch  5, Batch    769, Loss  0.617348, Average Loss  0.610103, Time  0.243281
2021-09-15 04:59:40.508997 : Epoch  7, Batch    121, Loss  0.610402, Average Loss  0.603824, Time  0.231837
2021-09-15 04:59:40.714935 : Epoch  5, Batch    770, Loss  0.611862, Average Loss  0.610088, Time  0.238785
2021-09-15 04:59:41.165786 : Epoch  1, Batch   1771, Loss  0.899733, Average Loss  0.875004, Time  0.264785
2021-09-15 04:59:42.066562 : Epoch  7, Batch    122, Loss  0.606475, Average Loss  0.603815, Time  0.231078
2021-09-15 04:59:42.242953 : Epoch  5, Batch    771, Loss  0.601940, Average Loss  0.610063, Time  0.238241
2021-09-15 04:59:43.611695 : Epoch  7, Batch    123, Loss  0.589664, Average Loss  0.603753, Time  0.232266
2021-09-15 04:59:43.778970 : Epoch  5, Batch    772, Loss  0.609467, Average Loss  0.610058, Time  0.239066
2021-09-15 04:59:44.146405 : Epoch  1, Batch   1772, Loss  0.874683, Average Loss  0.874960, Time  0.265268
2021-09-15 04:59:45.153541 : Epoch  7, Batch    124, Loss  0.595229, Average Loss  0.603711, Time  0.231157
2021-09-15 04:59:45.313918 : Epoch  5, Batch    773, Loss  0.611503, Average Loss  0.610048, Time  0.239681
2021-09-15 04:59:46.706603 : Epoch  7, Batch    125, Loss  0.600027, Average Loss  0.603631, Time  0.231634
2021-09-15 04:59:46.832378 : Epoch  5, Batch    774, Loss  0.603014, Average Loss  0.610067, Time  0.238021
2021-09-15 04:59:47.138812 : Epoch  1, Batch   1773, Loss  0.874957, Average Loss  0.874961, Time  0.265045
2021-09-15 04:59:48.249586 : Epoch  7, Batch    126, Loss  0.613020, Average Loss  0.603701, Time  0.232490
2021-09-15 04:59:48.510814 : Epoch  5, Batch    775, Loss  0.602894, Average Loss  0.610036, Time  0.257729
2021-09-15 04:59:49.821692 : Epoch  7, Batch    127, Loss  0.605315, Average Loss  0.603716, Time  0.260827
2021-09-15 04:59:50.163593 : Epoch  1, Batch   1774, Loss  0.853987, Average Loss  0.874840, Time  0.266092
2021-09-15 04:59:50.180614 : Epoch  5, Batch    776, Loss  0.615319, Average Loss  0.610074, Time  0.243631
2021-09-15 04:59:51.360260 : Epoch  7, Batch    128, Loss  0.597859, Average Loss  0.603662, Time  0.231912
2021-09-15 04:59:51.862692 : Epoch  5, Batch    777, Loss  0.608106, Average Loss  0.610120, Time  0.258541
2021-09-15 04:59:52.903072 : Epoch  7, Batch    129, Loss  0.615659, Average Loss  0.603722, Time  0.231644
2021-09-15 04:59:53.208630 : Epoch  1, Batch   1775, Loss  0.862007, Average Loss  0.874730, Time  0.265167
2021-09-15 04:59:53.381680 : Epoch  5, Batch    778, Loss  0.604445, Average Loss  0.610128, Time  0.239213
2021-09-15 04:59:54.446673 : Epoch  7, Batch    130, Loss  0.608756, Average Loss  0.603756, Time  0.231278
2021-09-15 04:59:55.060800 : Epoch  5, Batch    779, Loss  0.599935, Average Loss  0.610114, Time  0.258919
2021-09-15 04:59:55.991165 : Epoch  7, Batch    131, Loss  0.599464, Average Loss  0.603741, Time  0.232341
2021-09-15 04:59:56.227666 : Epoch  1, Batch   1776, Loss  0.853955, Average Loss  0.874517, Time  0.264726
2021-09-15 04:59:56.749070 : Epoch  5, Batch    780, Loss  0.602761, Average Loss  0.610067, Time  0.258930
2021-09-15 04:59:57.523055 : Epoch  7, Batch    132, Loss  0.605905, Average Loss  0.603768, Time  0.231539
2021-09-15 04:59:58.292879 : Epoch  5, Batch    781, Loss  0.618943, Average Loss  0.610081, Time  0.241532
2021-09-15 04:59:59.064343 : Epoch  7, Batch    133, Loss  0.604459, Average Loss  0.603807, Time  0.230787
2021-09-15 04:59:59.208969 : Epoch  1, Batch   1777, Loss  0.896437, Average Loss  0.874578, Time  0.265644
2021-09-15 04:59:59.817830 : Epoch  5, Batch    782, Loss  0.602924, Average Loss  0.610058, Time  0.240536
2021-09-15 05:00:00.604588 : Epoch  7, Batch    134, Loss  0.608849, Average Loss  0.603823, Time  0.231105
2021-09-15 05:00:01.346912 : Epoch  5, Batch    783, Loss  0.622524, Average Loss  0.610160, Time  0.240360
2021-09-15 05:00:02.150953 : Epoch  7, Batch    135, Loss  0.612300, Average Loss  0.603880, Time  0.231383
2021-09-15 05:00:02.198243 : Epoch  1, Batch   1778, Loss  0.875277, Average Loss  0.874659, Time  0.267301
2021-09-15 05:00:02.879949 : Epoch  5, Batch    784, Loss  0.607696, Average Loss  0.610191, Time  0.241089
2021-09-15 05:00:03.702402 : Epoch  7, Batch    136, Loss  0.610365, Average Loss  0.603964, Time  0.235816
2021-09-15 05:00:04.424805 : Epoch  5, Batch    785, Loss  0.614279, Average Loss  0.610263, Time  0.243111
2021-09-15 05:00:05.224672 : Epoch  1, Batch   1779, Loss  0.852658, Average Loss  0.874507, Time  0.266350
2021-09-15 05:00:05.267374 : Epoch  7, Batch    137, Loss  0.601952, Average Loss  0.603923, Time  0.231416
2021-09-15 05:00:05.958482 : Epoch  5, Batch    786, Loss  0.609952, Average Loss  0.610287, Time  0.239731
2021-09-15 05:00:06.805900 : Epoch  7, Batch    138, Loss  0.591818, Average Loss  0.603869, Time  0.231251
2021-09-15 05:00:07.494769 : Epoch  5, Batch    787, Loss  0.603623, Average Loss  0.610290, Time  0.241105
2021-09-15 05:00:07.529412 : Saving Model after 5-th Epoch.
2021-09-15 05:00:08.265659 : Epoch  1, Batch   1780, Loss  0.871702, Average Loss  0.874500, Time  0.265773
2021-09-15 05:00:08.361867 : Epoch  7, Batch    139, Loss  0.617997, Average Loss  0.603920, Time  0.231274
2021-09-15 05:00:08.520876 : Epoch Finished.
2021-09-15 05:00:09.931917 : Epoch  7, Batch    140, Loss  0.605152, Average Loss  0.603893, Time  0.233716
2021-09-15 05:00:11.079714 : Batch Shuffled
2021-09-15 05:00:11.310884 : Epoch  1, Batch   1781, Loss  0.879795, Average Loss  0.874569, Time  0.265303
2021-09-15 05:00:11.485014 : Epoch  7, Batch    141, Loss  0.584725, Average Loss  0.603791, Time  0.231326
2021-09-15 05:00:12.815232 : Epoch  6, Batch      1, Loss  0.604041, Average Loss  0.610228, Time  0.291582
2021-09-15 05:00:13.028341 : Epoch  7, Batch    142, Loss  0.597960, Average Loss  0.603791, Time  0.231419
2021-09-15 05:00:14.315397 : Epoch  1, Batch   1782, Loss  0.881607, Average Loss  0.874542, Time  0.264853
2021-09-15 05:00:14.333896 : Epoch  6, Batch      2, Loss  0.609914, Average Loss  0.610251, Time  0.239125
2021-09-15 05:00:14.561404 : Epoch  7, Batch    143, Loss  0.599440, Average Loss  0.603733, Time  0.231181
2021-09-15 05:00:15.848370 : Epoch  6, Batch      3, Loss  0.613512, Average Loss  0.610323, Time  0.240043
2021-09-15 05:00:16.094701 : Epoch  7, Batch    144, Loss  0.601104, Average Loss  0.603694, Time  0.231255
2021-09-15 05:00:17.332859 : Epoch  1, Batch   1783, Loss  0.885286, Average Loss  0.874568, Time  0.265936
2021-09-15 05:00:17.384752 : Epoch  6, Batch      4, Loss  0.605809, Average Loss  0.610356, Time  0.243754
2021-09-15 05:00:17.621652 : Epoch  7, Batch    145, Loss  0.596138, Average Loss  0.603650, Time  0.232786
2021-09-15 05:00:19.069867 : Epoch  6, Batch      5, Loss  0.596874, Average Loss  0.610356, Time  0.262416
2021-09-15 05:00:19.164628 : Epoch  7, Batch    146, Loss  0.603336, Average Loss  0.603630, Time  0.232166
2021-09-15 05:00:20.370482 : Epoch  1, Batch   1784, Loss  0.889815, Average Loss  0.874564, Time  0.271926
2021-09-15 05:00:20.692301 : Epoch  7, Batch    147, Loss  0.616084, Average Loss  0.603650, Time  0.231673
2021-09-15 05:00:20.751150 : Epoch  6, Batch      6, Loss  0.602293, Average Loss  0.610354, Time  0.257620
2021-09-15 05:00:22.224379 : Epoch  7, Batch    148, Loss  0.620349, Average Loss  0.603677, Time  0.231299
2021-09-15 05:00:22.267802 : Epoch  6, Batch      7, Loss  0.587192, Average Loss  0.610216, Time  0.241874
2021-09-15 05:00:23.371045 : Epoch  1, Batch   1785, Loss  0.882086, Average Loss  0.874641, Time  0.264857
2021-09-15 05:00:23.793837 : Epoch  6, Batch      8, Loss  0.598938, Average Loss  0.610154, Time  0.241353
2021-09-15 05:00:25.310840 : Epoch  6, Batch      9, Loss  0.606017, Average Loss  0.610127, Time  0.241719
2021-09-15 05:00:26.114327 : Epoch  7, Batch    149, Loss  0.597943, Average Loss  0.603610, Time  0.271423
2021-09-15 05:00:26.372277 : Epoch  1, Batch   1786, Loss  0.866808, Average Loss  0.874649, Time  0.264716
2021-09-15 05:00:26.855001 : Epoch  6, Batch     10, Loss  0.609692, Average Loss  0.610123, Time  0.241701
2021-09-15 05:00:27.670606 : Epoch  7, Batch    150, Loss  0.613031, Average Loss  0.603592, Time  0.249276
2021-09-15 05:00:28.383446 : Epoch  6, Batch     11, Loss  0.592249, Average Loss  0.610111, Time  0.240162
2021-09-15 05:00:29.225592 : Epoch  7, Batch    151, Loss  0.608331, Average Loss  0.603587, Time  0.231616
2021-09-15 05:00:29.364742 : Epoch  1, Batch   1787, Loss  0.863803, Average Loss  0.874517, Time  0.265073
2021-09-15 05:00:29.918798 : Epoch  6, Batch     12, Loss  0.597719, Average Loss  0.610103, Time  0.241848
2021-09-15 05:00:30.759124 : Epoch  7, Batch    152, Loss  0.609356, Average Loss  0.603570, Time  0.231146
2021-09-15 05:00:31.443973 : Epoch  6, Batch     13, Loss  0.608341, Average Loss  0.610086, Time  0.238182
2021-09-15 05:00:32.296234 : Epoch  7, Batch    153, Loss  0.595977, Average Loss  0.603532, Time  0.231251
2021-09-15 05:00:32.338812 : Epoch  1, Batch   1788, Loss  0.858544, Average Loss  0.874468, Time  0.264774
2021-09-15 05:00:32.973119 : Epoch  6, Batch     14, Loss  0.604924, Average Loss  0.610072, Time  0.239126
2021-09-15 05:00:33.846311 : Epoch  7, Batch    154, Loss  0.602485, Average Loss  0.603520, Time  0.230847
2021-09-15 05:00:34.528071 : Epoch  6, Batch     15, Loss  0.602971, Average Loss  0.610046, Time  0.242988
2021-09-15 05:00:35.336833 : Epoch  1, Batch   1789, Loss  0.879482, Average Loss  0.874412, Time  0.265112
2021-09-15 05:00:35.387346 : Epoch  7, Batch    155, Loss  0.598895, Average Loss  0.603489, Time  0.231742
2021-09-15 05:00:36.058866 : Epoch  6, Batch     16, Loss  0.609433, Average Loss  0.610064, Time  0.240941
2021-09-15 05:00:36.903878 : Epoch  7, Batch    156, Loss  0.617473, Average Loss  0.603570, Time  0.231185
2021-09-15 05:00:37.589785 : Epoch  6, Batch     17, Loss  0.617149, Average Loss  0.610110, Time  0.240770
2021-09-15 05:00:38.337910 : Epoch  1, Batch   1790, Loss  0.862080, Average Loss  0.874178, Time  0.265231
2021-09-15 05:00:38.449665 : Epoch  7, Batch    157, Loss  0.615557, Average Loss  0.603591, Time  0.232121
2021-09-15 05:00:39.116882 : Epoch  6, Batch     18, Loss  0.614808, Average Loss  0.610157, Time  0.239260
2021-09-15 05:00:39.980357 : Epoch  7, Batch    158, Loss  0.607213, Average Loss  0.603651, Time  0.231117
2021-09-15 05:00:40.652801 : Epoch  6, Batch     19, Loss  0.588954, Average Loss  0.610056, Time  0.241023
2021-09-15 05:00:41.376937 : Epoch  1, Batch   1791, Loss  0.879004, Average Loss  0.874171, Time  0.266165
2021-09-15 05:00:41.529400 : Epoch  7, Batch    159, Loss  0.613039, Average Loss  0.603734, Time  0.231063
2021-09-15 05:00:42.192870 : Epoch  6, Batch     20, Loss  0.611034, Average Loss  0.610082, Time  0.241755
2021-09-15 05:00:43.069356 : Epoch  7, Batch    160, Loss  0.610948, Average Loss  0.603720, Time  0.231407
2021-09-15 05:00:43.718360 : Epoch  6, Batch     21, Loss  0.604279, Average Loss  0.610041, Time  0.240416
2021-09-15 05:00:44.405968 : Epoch  1, Batch   1792, Loss  0.892250, Average Loss  0.874326, Time  0.264223
2021-09-15 05:00:44.611148 : Epoch  7, Batch    161, Loss  0.601873, Average Loss  0.603765, Time  0.231417
2021-09-15 05:00:45.253922 : Epoch  6, Batch     22, Loss  0.612343, Average Loss  0.610026, Time  0.239846
2021-09-15 05:00:46.140649 : Epoch  7, Batch    162, Loss  0.607122, Average Loss  0.603698, Time  0.233147
2021-09-15 05:00:46.791177 : Epoch  6, Batch     23, Loss  0.601524, Average Loss  0.609964, Time  0.238572
2021-09-15 05:00:47.415630 : Epoch  1, Batch   1793, Loss  0.866670, Average Loss  0.874287, Time  0.264760
2021-09-15 05:00:47.679410 : Epoch  7, Batch    163, Loss  0.613266, Average Loss  0.603770, Time  0.231269
2021-09-15 05:00:48.336841 : Epoch  6, Batch     24, Loss  0.618347, Average Loss  0.609980, Time  0.241805
2021-09-15 05:00:49.215391 : Epoch  7, Batch    164, Loss  0.605208, Average Loss  0.603732, Time  0.230933
2021-09-15 05:00:49.876392 : Epoch  6, Batch     25, Loss  0.612431, Average Loss  0.610011, Time  0.240257
2021-09-15 05:00:50.408963 : Epoch  1, Batch   1794, Loss  0.893294, Average Loss  0.874362, Time  0.264143
2021-09-15 05:00:50.760394 : Epoch  7, Batch    165, Loss  0.596160, Average Loss  0.603687, Time  0.230946
2021-09-15 05:00:51.403848 : Epoch  6, Batch     26, Loss  0.604478, Average Loss  0.610029, Time  0.242029
2021-09-15 05:00:52.290821 : Epoch  7, Batch    166, Loss  0.614414, Average Loss  0.603796, Time  0.230938
2021-09-15 05:00:52.937375 : Epoch  6, Batch     27, Loss  0.609262, Average Loss  0.610011, Time  0.242323
2021-09-15 05:00:53.398223 : Epoch  1, Batch   1795, Loss  0.875918, Average Loss  0.874299, Time  0.265679
2021-09-15 05:00:53.833929 : Epoch  7, Batch    167, Loss  0.604966, Average Loss  0.603830, Time  0.231309
2021-09-15 05:00:54.466825 : Epoch  6, Batch     28, Loss  0.611829, Average Loss  0.610046, Time  0.239815
2021-09-15 05:00:55.377938 : Epoch  7, Batch    168, Loss  0.594660, Average Loss  0.603770, Time  0.232490
2021-09-15 05:00:55.998337 : Epoch  6, Batch     29, Loss  0.603356, Average Loss  0.610018, Time  0.238882
2021-09-15 05:00:56.394558 : Epoch  1, Batch   1796, Loss  0.909765, Average Loss  0.874538, Time  0.265461
2021-09-15 05:00:56.921856 : Epoch  7, Batch    169, Loss  0.605750, Average Loss  0.603816, Time  0.232579
2021-09-15 05:00:57.524949 : Epoch  6, Batch     30, Loss  0.611777, Average Loss  0.610007, Time  0.240852
2021-09-15 05:00:58.466395 : Epoch  7, Batch    170, Loss  0.600942, Average Loss  0.603731, Time  0.232259
2021-09-15 05:00:59.056020 : Epoch  6, Batch     31, Loss  0.605722, Average Loss  0.609992, Time  0.241340
2021-09-15 05:00:59.419380 : Epoch  1, Batch   1797, Loss  0.882049, Average Loss  0.874635, Time  0.266198
2021-09-15 05:01:00.018322 : Epoch  7, Batch    171, Loss  0.608700, Average Loss  0.603773, Time  0.230932
2021-09-15 05:01:00.595803 : Epoch  6, Batch     32, Loss  0.604995, Average Loss  0.609982, Time  0.243622
2021-09-15 05:01:01.557890 : Epoch  7, Batch    172, Loss  0.606735, Average Loss  0.603766, Time  0.231515
2021-09-15 05:01:02.127933 : Epoch  6, Batch     33, Loss  0.616206, Average Loss  0.610065, Time  0.240926
2021-09-15 05:01:02.426532 : Epoch  1, Batch   1798, Loss  0.861612, Average Loss  0.874625, Time  0.266820
2021-09-15 05:01:03.097065 : Epoch  7, Batch    173, Loss  0.595158, Average Loss  0.603735, Time  0.231822
2021-09-15 05:01:03.664895 : Epoch  6, Batch     34, Loss  0.607024, Average Loss  0.610099, Time  0.238733
2021-09-15 05:01:04.646482 : Epoch  7, Batch    174, Loss  0.610956, Average Loss  0.603820, Time  0.231632
2021-09-15 05:01:05.196993 : Epoch  6, Batch     35, Loss  0.607831, Average Loss  0.610148, Time  0.237907
2021-09-15 05:01:05.445830 : Epoch  1, Batch   1799, Loss  0.849431, Average Loss  0.874487, Time  0.275910
2021-09-15 05:01:06.220426 : Epoch  7, Batch    175, Loss  0.612088, Average Loss  0.603852, Time  0.232669
2021-09-15 05:01:06.901117 : Epoch  6, Batch     36, Loss  0.598457, Average Loss  0.610111, Time  0.259060
2021-09-15 05:01:07.765615 : Epoch  7, Batch    176, Loss  0.604035, Average Loss  0.603910, Time  0.231766
2021-09-15 05:01:08.427063 : Epoch  1, Batch   1800, Loss  0.884920, Average Loss  0.874720, Time  0.265165
2021-09-15 05:01:08.586388 : Epoch  6, Batch     37, Loss  0.609670, Average Loss  0.610147, Time  0.260507
2021-09-15 05:01:09.312164 : Epoch  7, Batch    177, Loss  0.601856, Average Loss  0.603861, Time  0.231297
2021-09-15 05:01:10.262368 : Epoch  6, Batch     38, Loss  0.589526, Average Loss  0.609992, Time  0.259851
2021-09-15 05:01:10.854077 : Epoch  7, Batch    178, Loss  0.597190, Average Loss  0.603814, Time  0.231411
2021-09-15 05:01:11.809788 : Epoch  6, Batch     39, Loss  0.606684, Average Loss  0.609951, Time  0.240837
2021-09-15 05:01:13.354901 : Epoch  6, Batch     40, Loss  0.611674, Average Loss  0.609972, Time  0.239234
2021-09-15 05:01:14.892173 : Epoch  6, Batch     41, Loss  0.606444, Average Loss  0.609947, Time  0.238271
2021-09-15 05:01:16.450092 : Epoch  6, Batch     42, Loss  0.611403, Average Loss  0.610025, Time  0.240547
2021-09-15 05:01:17.987099 : Epoch  6, Batch     43, Loss  0.585123, Average Loss  0.609935, Time  0.238880
2021-09-15 05:01:19.692996 : Epoch  6, Batch     44, Loss  0.595017, Average Loss  0.609864, Time  0.261614
2021-09-15 05:01:21.381124 : Epoch  6, Batch     45, Loss  0.614307, Average Loss  0.609901, Time  0.260118
2021-09-15 05:01:22.920065 : Epoch  6, Batch     46, Loss  0.603671, Average Loss  0.609883, Time  0.240523
2021-09-15 05:01:24.465588 : Epoch  6, Batch     47, Loss  0.615967, Average Loss  0.609936, Time  0.241252
2021-09-15 05:01:26.025962 : Epoch  6, Batch     48, Loss  0.614630, Average Loss  0.609957, Time  0.238425
2021-09-15 05:01:27.547468 : Epoch  6, Batch     49, Loss  0.608146, Average Loss  0.609946, Time  0.238691
2021-09-15 05:01:29.075230 : Epoch  6, Batch     50, Loss  0.603343, Average Loss  0.609933, Time  0.239597
2021-09-15 05:01:30.624978 : Epoch  6, Batch     51, Loss  0.608705, Average Loss  0.609904, Time  0.239897
2021-09-15 05:01:32.154840 : Epoch  6, Batch     52, Loss  0.607415, Average Loss  0.609950, Time  0.242748
2021-09-15 05:01:33.686791 : Epoch  6, Batch     53, Loss  0.607158, Average Loss  0.609963, Time  0.238420
2021-09-15 05:01:35.221808 : Epoch  6, Batch     54, Loss  0.598759, Average Loss  0.609939, Time  0.238971
2021-09-15 05:01:36.755116 : Epoch  6, Batch     55, Loss  0.604028, Average Loss  0.609936, Time  0.238765
2021-09-15 05:01:38.287830 : Epoch  6, Batch     56, Loss  0.611709, Average Loss  0.609956, Time  0.238945
2021-09-15 05:01:39.816399 : Epoch  6, Batch     57, Loss  0.620791, Average Loss  0.610004, Time  0.239676
2021-09-15 05:01:41.347831 : Epoch  6, Batch     58, Loss  0.601467, Average Loss  0.609989, Time  0.240544
2021-09-15 05:01:42.874055 : Epoch  6, Batch     59, Loss  0.604349, Average Loss  0.609922, Time  0.241662
2021-09-15 05:01:44.395790 : Epoch  6, Batch     60, Loss  0.603249, Average Loss  0.609853, Time  0.240853
2021-09-15 05:01:45.923898 : Epoch  6, Batch     61, Loss  0.612178, Average Loss  0.609826, Time  0.239341
2021-09-15 05:01:47.457558 : Epoch  6, Batch     62, Loss  0.597094, Average Loss  0.609781, Time  0.240607
2021-09-15 05:01:48.992810 : Epoch  6, Batch     63, Loss  0.614068, Average Loss  0.609785, Time  0.240613
2021-09-15 05:01:50.674068 : Epoch  6, Batch     64, Loss  0.592641, Average Loss  0.609667, Time  0.259155
2021-09-15 05:01:54.629858 : Epoch  6, Batch     65, Loss  0.601982, Average Loss  0.609661, Time  0.269353
2021-09-15 05:02:08.553927 : CheckPoint: Validation Loss  0.00025309, Best Loss  0.00024571
2021-09-15 05:02:10.122192 : Epoch  7, Batch    179, Loss  0.590016, Average Loss  0.603685, Time  0.245281
2021-09-15 05:02:11.672234 : Epoch  7, Batch    180, Loss  0.608968, Average Loss  0.603720, Time  0.230863
2021-09-15 05:02:13.216464 : Epoch  7, Batch    181, Loss  0.596253, Average Loss  0.603762, Time  0.230971
2021-09-15 05:02:14.754463 : Epoch  7, Batch    182, Loss  0.595151, Average Loss  0.603689, Time  0.231440
2021-09-15 05:02:16.293171 : Epoch  7, Batch    183, Loss  0.602751, Average Loss  0.603673, Time  0.230849
2021-09-15 05:02:17.837870 : Epoch  7, Batch    184, Loss  0.611307, Average Loss  0.603719, Time  0.232100
2021-09-15 05:02:19.372261 : Epoch  7, Batch    185, Loss  0.606915, Average Loss  0.603701, Time  0.231819
2021-09-15 05:02:20.919165 : Epoch  7, Batch    186, Loss  0.600186, Average Loss  0.603759, Time  0.231224
2021-09-15 05:02:22.459371 : Epoch  7, Batch    187, Loss  0.600222, Average Loss  0.603739, Time  0.232114
2021-09-15 05:02:24.020334 : Epoch  7, Batch    188, Loss  0.595343, Average Loss  0.603734, Time  0.231587
2021-09-15 05:02:25.577264 : Epoch  7, Batch    189, Loss  0.607062, Average Loss  0.603801, Time  0.232351
2021-09-15 05:02:27.126353 : Epoch  7, Batch    190, Loss  0.590740, Average Loss  0.603749, Time  0.231145
2021-09-15 05:02:28.668889 : Epoch  7, Batch    191, Loss  0.595763, Average Loss  0.603798, Time  0.231054
2021-09-15 05:02:30.219306 : Epoch  7, Batch    192, Loss  0.594456, Average Loss  0.603701, Time  0.231703
2021-09-15 05:02:31.754852 : Epoch  7, Batch    193, Loss  0.600242, Average Loss  0.603650, Time  0.230985
2021-09-15 05:02:33.296410 : Epoch  7, Batch    194, Loss  0.608668, Average Loss  0.603732, Time  0.231292
2021-09-15 05:02:34.838877 : Epoch  7, Batch    195, Loss  0.604438, Average Loss  0.603732, Time  0.230950
2021-09-15 05:02:36.374336 : Epoch  7, Batch    196, Loss  0.607972, Average Loss  0.603723, Time  0.231549
2021-09-15 05:02:37.919931 : Epoch  7, Batch    197, Loss  0.594555, Average Loss  0.603672, Time  0.231265
2021-09-15 05:02:39.464714 : Epoch  7, Batch    198, Loss  0.601197, Average Loss  0.603633, Time  0.231097
2021-09-15 05:02:41.010941 : Epoch  7, Batch    199, Loss  0.606146, Average Loss  0.603666, Time  0.231268
2021-09-15 05:02:42.549403 : Epoch  7, Batch    200, Loss  0.611860, Average Loss  0.603704, Time  0.232004
2021-09-15 05:02:44.087013 : Epoch  7, Batch    201, Loss  0.606338, Average Loss  0.603709, Time  0.230982
2021-09-15 05:02:45.625906 : Epoch  7, Batch    202, Loss  0.597607, Average Loss  0.603658, Time  0.232135
2021-09-15 05:02:47.173900 : Epoch  7, Batch    203, Loss  0.600810, Average Loss  0.603675, Time  0.231427
2021-09-15 05:02:48.734805 : Epoch  7, Batch    204, Loss  0.607308, Average Loss  0.603709, Time  0.232976
2021-09-15 05:02:50.299911 : Epoch  7, Batch    205, Loss  0.598358, Average Loss  0.603744, Time  0.231488
2021-09-15 05:02:51.513728 : CheckPoint: Validation Loss  0.00024928, Best Loss  0.00024341
2021-09-15 05:02:51.838598 : Epoch  7, Batch    206, Loss  0.602752, Average Loss  0.603738, Time  0.231915
2021-09-15 05:02:53.087757 : Epoch  6, Batch     66, Loss  0.606203, Average Loss  0.609635, Time  0.276554
2021-09-15 05:02:53.362595 : Epoch  7, Batch    207, Loss  0.611676, Average Loss  0.603799, Time  0.230981
2021-09-15 05:02:54.625951 : Epoch  6, Batch     67, Loss  0.592190, Average Loss  0.609577, Time  0.256080
2021-09-15 05:02:54.891012 : Epoch  7, Batch    208, Loss  0.604754, Average Loss  0.603852, Time  0.230962
2021-09-15 05:02:56.151841 : Epoch  6, Batch     68, Loss  0.596171, Average Loss  0.609553, Time  0.238972
2021-09-15 05:02:56.425122 : Epoch  7, Batch    209, Loss  0.592732, Average Loss  0.603868, Time  0.231749
2021-09-15 05:02:57.671772 : Epoch  6, Batch     69, Loss  0.618978, Average Loss  0.609611, Time  0.238335
2021-09-15 05:02:57.956441 : Epoch  7, Batch    210, Loss  0.599332, Average Loss  0.603833, Time  0.231383
2021-09-15 05:02:59.190965 : Epoch  6, Batch     70, Loss  0.605767, Average Loss  0.609622, Time  0.240324
2021-09-15 05:02:59.485605 : Epoch  7, Batch    211, Loss  0.610054, Average Loss  0.603801, Time  0.230721
2021-09-15 05:03:00.711055 : Epoch  6, Batch     71, Loss  0.608508, Average Loss  0.609668, Time  0.238874
2021-09-15 05:03:01.013179 : Epoch  7, Batch    212, Loss  0.600141, Average Loss  0.603818, Time  0.231302
2021-09-15 05:03:02.227863 : Epoch  6, Batch     72, Loss  0.611231, Average Loss  0.609715, Time  0.238367
2021-09-15 05:03:02.539909 : Epoch  7, Batch    213, Loss  0.606400, Average Loss  0.603815, Time  0.230727
2021-09-15 05:03:03.755771 : Epoch  6, Batch     73, Loss  0.618433, Average Loss  0.609812, Time  0.238439
2021-09-15 05:03:04.070632 : Epoch  7, Batch    214, Loss  0.602640, Average Loss  0.603803, Time  0.230955
2021-09-15 05:03:05.277798 : Epoch  6, Batch     74, Loss  0.596653, Average Loss  0.609772, Time  0.238400
2021-09-15 05:03:05.610383 : Epoch  7, Batch    215, Loss  0.605312, Average Loss  0.603795, Time  0.231600
2021-09-15 05:03:06.802952 : Epoch  6, Batch     75, Loss  0.601260, Average Loss  0.609768, Time  0.241046
2021-09-15 05:03:07.142830 : Epoch  7, Batch    216, Loss  0.605096, Average Loss  0.603813, Time  0.232431
2021-09-15 05:03:08.323769 : Epoch  6, Batch     76, Loss  0.601582, Average Loss  0.609758, Time  0.241171
2021-09-15 05:03:08.672080 : Epoch  7, Batch    217, Loss  0.597215, Average Loss  0.603806, Time  0.231380
2021-09-15 05:03:09.851011 : Epoch  6, Batch     77, Loss  0.601976, Average Loss  0.609726, Time  0.240836
2021-09-15 05:03:10.213292 : Epoch  7, Batch    218, Loss  0.606671, Average Loss  0.603827, Time  0.231530
2021-09-15 05:03:11.370750 : Epoch  6, Batch     78, Loss  0.599628, Average Loss  0.609655, Time  0.237728
2021-09-15 05:03:11.787215 : Epoch  7, Batch    219, Loss  0.603247, Average Loss  0.603792, Time  0.232188
2021-09-15 05:03:12.982820 : Epoch  6, Batch     79, Loss  0.606091, Average Loss  0.609709, Time  0.240002
2021-09-15 05:03:13.316375 : Epoch  7, Batch    220, Loss  0.600696, Average Loss  0.603804, Time  0.231358
2021-09-15 05:03:14.530841 : Epoch  6, Batch     80, Loss  0.605000, Average Loss  0.609659, Time  0.239250
2021-09-15 05:03:14.851325 : Epoch  7, Batch    221, Loss  0.599097, Average Loss  0.603757, Time  0.231505
2021-09-15 05:03:16.059331 : Epoch  6, Batch     81, Loss  0.607633, Average Loss  0.609670, Time  0.239897
2021-09-15 05:03:16.382995 : Epoch  7, Batch    222, Loss  0.607954, Average Loss  0.603804, Time  0.231526
2021-09-15 05:03:17.604925 : Epoch  6, Batch     82, Loss  0.597573, Average Loss  0.609653, Time  0.239904
2021-09-15 05:03:17.923380 : Epoch  7, Batch    223, Loss  0.595340, Average Loss  0.603843, Time  0.230849
2021-09-15 05:03:19.130818 : Epoch  6, Batch     83, Loss  0.605319, Average Loss  0.609684, Time  0.240882
2021-09-15 05:03:19.460224 : Epoch  7, Batch    224, Loss  0.606536, Average Loss  0.603905, Time  0.231591
2021-09-15 05:03:20.829510 : Epoch  6, Batch     84, Loss  0.617370, Average Loss  0.609772, Time  0.257167
2021-09-15 05:03:21.002975 : Epoch  7, Batch    225, Loss  0.607390, Average Loss  0.603950, Time  0.231177
2021-09-15 05:03:22.362792 : Epoch  6, Batch     85, Loss  0.606690, Average Loss  0.609792, Time  0.240884
2021-09-15 05:03:22.534557 : Epoch  7, Batch    226, Loss  0.610050, Average Loss  0.603984, Time  0.231236
2021-09-15 05:03:23.911893 : Epoch  6, Batch     86, Loss  0.617192, Average Loss  0.609813, Time  0.242638
2021-09-15 05:03:24.065081 : Epoch  7, Batch    227, Loss  0.605850, Average Loss  0.604006, Time  0.230915
2021-09-15 05:03:25.451873 : Epoch  6, Batch     87, Loss  0.613039, Average Loss  0.609867, Time  0.244960
2021-09-15 05:03:25.615869 : Epoch  7, Batch    228, Loss  0.608236, Average Loss  0.604031, Time  0.231464
2021-09-15 05:03:26.997902 : Epoch  6, Batch     88, Loss  0.610581, Average Loss  0.609802, Time  0.241502
2021-09-15 05:03:27.142110 : Epoch  7, Batch    229, Loss  0.601973, Average Loss  0.603983, Time  0.231160
2021-09-15 05:03:28.537247 : Epoch  6, Batch     89, Loss  0.613446, Average Loss  0.609826, Time  0.242071
2021-09-15 05:03:28.680556 : Epoch  7, Batch    230, Loss  0.616105, Average Loss  0.604073, Time  0.230994
2021-09-15 05:03:30.062267 : Epoch  6, Batch     90, Loss  0.609419, Average Loss  0.609818, Time  0.240787
2021-09-15 05:03:30.214384 : Epoch  7, Batch    231, Loss  0.609266, Average Loss  0.604076, Time  0.231734
2021-09-15 05:03:31.609104 : Epoch  6, Batch     91, Loss  0.598930, Average Loss  0.610230, Time  0.242491
2021-09-15 05:03:31.747880 : Epoch  7, Batch    232, Loss  0.596971, Average Loss  0.604054, Time  0.231239
2021-09-15 05:03:33.141347 : Epoch  6, Batch     92, Loss  0.605405, Average Loss  0.610137, Time  0.239502
2021-09-15 05:03:33.282019 : Epoch  7, Batch    233, Loss  0.599518, Average Loss  0.604030, Time  0.230963
2021-09-15 05:03:34.685016 : Epoch  6, Batch     93, Loss  0.618596, Average Loss  0.610046, Time  0.240302
2021-09-15 05:03:34.814984 : Epoch  7, Batch    234, Loss  0.608812, Average Loss  0.604073, Time  0.230888
2021-09-15 05:03:36.221805 : Epoch  6, Batch     94, Loss  0.610792, Average Loss  0.609953, Time  0.241584
2021-09-15 05:03:36.346398 : Epoch  7, Batch    235, Loss  0.598170, Average Loss  0.604027, Time  0.230997
2021-09-15 05:03:37.758866 : Epoch  6, Batch     95, Loss  0.604182, Average Loss  0.609864, Time  0.240364
2021-09-15 05:03:37.892754 : Epoch  7, Batch    236, Loss  0.602234, Average Loss  0.603992, Time  0.232440
2021-09-15 05:03:39.295778 : Epoch  6, Batch     96, Loss  0.603838, Average Loss  0.609728, Time  0.240511
2021-09-15 05:03:39.431104 : Epoch  7, Batch    237, Loss  0.601615, Average Loss  0.603993, Time  0.232456
2021-09-15 05:03:40.852014 : Epoch  6, Batch     97, Loss  0.613819, Average Loss  0.609634, Time  0.242308
2021-09-15 05:03:40.963954 : Epoch  7, Batch    238, Loss  0.607639, Average Loss  0.604054, Time  0.230945
2021-09-15 05:03:42.383832 : Epoch  6, Batch     98, Loss  0.619461, Average Loss  0.609545, Time  0.239795
2021-09-15 05:03:42.498325 : Epoch  7, Batch    239, Loss  0.605242, Average Loss  0.604021, Time  0.230685
2021-09-15 05:03:43.930474 : Epoch  6, Batch     99, Loss  0.609942, Average Loss  0.609473, Time  0.241846
2021-09-15 05:03:44.018723 : Epoch  7, Batch    240, Loss  0.610087, Average Loss  0.604056, Time  0.230708
2021-09-15 05:03:45.462873 : Epoch  6, Batch    100, Loss  0.603621, Average Loss  0.609365, Time  0.239386
2021-09-15 05:03:45.543055 : Epoch  7, Batch    241, Loss  0.599364, Average Loss  0.603996, Time  0.231068
2021-09-15 05:03:46.995441 : Epoch  6, Batch    101, Loss  0.608247, Average Loss  0.609271, Time  0.240787
2021-09-15 05:03:47.074605 : Epoch  7, Batch    242, Loss  0.604474, Average Loss  0.604060, Time  0.230769
2021-09-15 05:03:48.523948 : Epoch  6, Batch    102, Loss  0.618739, Average Loss  0.609190, Time  0.240577
2021-09-15 05:03:48.636165 : Epoch  7, Batch    243, Loss  0.603103, Average Loss  0.604062, Time  0.231256
2021-09-15 05:03:50.052368 : Epoch  6, Batch    103, Loss  0.604737, Average Loss  0.609059, Time  0.241755
2021-09-15 05:03:50.172305 : Epoch  7, Batch    244, Loss  0.601436, Average Loss  0.604035, Time  0.233198
2021-09-15 05:03:51.590417 : Epoch  6, Batch    104, Loss  0.607658, Average Loss  0.608984, Time  0.238914
2021-09-15 05:03:51.706020 : Epoch  7, Batch    245, Loss  0.592307, Average Loss  0.604031, Time  0.231077
2021-09-15 05:03:53.128455 : Epoch  6, Batch    105, Loss  0.605356, Average Loss  0.608831, Time  0.239460
2021-09-15 05:03:53.234007 : Epoch  7, Batch    246, Loss  0.600769, Average Loss  0.604031, Time  0.232207
2021-09-15 05:03:54.665456 : Epoch  6, Batch    106, Loss  0.603917, Average Loss  0.608698, Time  0.239406
2021-09-15 05:03:54.764104 : Epoch  7, Batch    247, Loss  0.593373, Average Loss  0.604006, Time  0.231286
2021-09-15 05:03:56.191771 : Epoch  6, Batch    107, Loss  0.597106, Average Loss  0.608530, Time  0.241311
2021-09-15 05:03:56.293404 : Epoch  7, Batch    248, Loss  0.601464, Average Loss  0.604013, Time  0.230942
2021-09-15 05:03:57.723804 : Epoch  6, Batch    108, Loss  0.598973, Average Loss  0.608423, Time  0.239503
2021-09-15 05:03:59.272241 : Epoch  6, Batch    109, Loss  0.614864, Average Loss  0.608386, Time  0.240272
2021-09-15 05:04:00.162945 : Epoch  7, Batch    249, Loss  0.609649, Average Loss  0.604076, Time  0.260745
2021-09-15 05:04:00.808923 : Epoch  6, Batch    110, Loss  0.602512, Average Loss  0.608262, Time  0.239649
2021-09-15 05:04:01.711303 : Epoch  7, Batch    250, Loss  0.599975, Average Loss  0.604054, Time  0.238166
2021-09-15 05:04:02.337886 : Epoch  6, Batch    111, Loss  0.601976, Average Loss  0.608140, Time  0.240677
2021-09-15 05:04:03.247747 : Epoch  7, Batch    251, Loss  0.607206, Average Loss  0.603995, Time  0.231068
2021-09-15 05:04:03.869789 : Epoch  6, Batch    112, Loss  0.610972, Average Loss  0.608089, Time  0.241372
2021-09-15 05:04:04.777121 : Epoch  7, Batch    252, Loss  0.611713, Average Loss  0.604063, Time  0.231756
2021-09-15 05:04:05.412814 : Epoch  6, Batch    113, Loss  0.601970, Average Loss  0.607977, Time  0.241641
2021-09-15 05:04:06.312006 : Epoch  7, Batch    253, Loss  0.605057, Average Loss  0.604075, Time  0.231321
2021-09-15 05:04:06.955873 : Epoch  6, Batch    114, Loss  0.606784, Average Loss  0.607908, Time  0.241486
2021-09-15 05:04:07.839401 : Epoch  7, Batch    254, Loss  0.594674, Average Loss  0.604002, Time  0.230711
2021-09-15 05:04:08.538000 : Epoch  6, Batch    115, Loss  0.623625, Average Loss  0.607982, Time  0.239026
2021-09-15 05:04:09.372408 : Epoch  7, Batch    255, Loss  0.599031, Average Loss  0.604052, Time  0.231027
2021-09-15 05:04:10.082055 : Epoch  6, Batch    116, Loss  0.606247, Average Loss  0.607948, Time  0.241395
2021-09-15 05:04:10.911621 : Epoch  7, Batch    256, Loss  0.593827, Average Loss  0.603984, Time  0.231615
2021-09-15 05:04:11.616795 : Epoch  6, Batch    117, Loss  0.614580, Average Loss  0.607938, Time  0.238884
2021-09-15 05:04:12.449946 : Epoch  7, Batch    257, Loss  0.609769, Average Loss  0.603978, Time  0.231277
2021-09-15 05:04:13.146376 : Epoch  6, Batch    118, Loss  0.607321, Average Loss  0.607884, Time  0.239318
2021-09-15 05:04:13.989660 : Epoch  7, Batch    258, Loss  0.602626, Average Loss  0.603992, Time  0.231212
2021-09-15 05:04:14.827792 : Epoch  6, Batch    119, Loss  0.611772, Average Loss  0.607828, Time  0.256741
2021-09-15 05:04:15.533869 : Epoch  7, Batch    259, Loss  0.616822, Average Loss  0.604078, Time  0.231603
2021-09-15 05:04:16.516843 : Epoch  6, Batch    120, Loss  0.609614, Average Loss  0.607794, Time  0.261135
2021-09-15 05:04:17.080426 : Epoch  7, Batch    260, Loss  0.613041, Average Loss  0.604086, Time  0.230925
2021-09-15 05:04:18.215096 : Epoch  6, Batch    121, Loss  0.602736, Average Loss  0.607728, Time  0.257814
2021-09-15 05:04:18.631830 : Epoch  7, Batch    261, Loss  0.611820, Average Loss  0.604199, Time  0.234901
2021-09-15 05:04:19.740008 : Epoch  6, Batch    122, Loss  0.607005, Average Loss  0.607668, Time  0.238136
2021-09-15 05:04:20.186351 : Epoch  7, Batch    262, Loss  0.589853, Average Loss  0.604149, Time  0.244359
2021-09-15 05:04:21.430812 : Epoch  6, Batch    123, Loss  0.606534, Average Loss  0.607671, Time  0.258696
2021-09-15 05:04:21.726007 : Epoch  7, Batch    263, Loss  0.611491, Average Loss  0.604112, Time  0.231357
2021-09-15 05:04:23.136883 : Epoch  6, Batch    124, Loss  0.610764, Average Loss  0.607655, Time  0.260700
2021-09-15 05:04:23.266395 : Epoch  7, Batch    264, Loss  0.599503, Average Loss  0.604073, Time  0.231227
2021-09-15 05:04:24.806093 : Epoch  7, Batch    265, Loss  0.599844, Average Loss  0.604066, Time  0.231169
2021-09-15 05:04:24.833798 : Epoch  6, Batch    125, Loss  0.596718, Average Loss  0.607574, Time  0.260735
2021-09-15 05:04:26.336838 : Epoch  7, Batch    266, Loss  0.612008, Average Loss  0.604145, Time  0.231530
2021-09-15 05:04:26.517551 : Epoch  6, Batch    126, Loss  0.596829, Average Loss  0.607483, Time  0.257864
2021-09-15 05:04:27.885389 : Epoch  7, Batch    267, Loss  0.605864, Average Loss  0.604136, Time  0.231048
2021-09-15 05:04:28.059929 : Epoch  6, Batch    127, Loss  0.606651, Average Loss  0.607459, Time  0.240631
2021-09-15 05:04:29.424571 : Epoch  7, Batch    268, Loss  0.615076, Average Loss  0.604245, Time  0.231200
2021-09-15 05:04:29.583397 : Epoch  6, Batch    128, Loss  0.608119, Average Loss  0.607436, Time  0.238651
2021-09-15 05:04:30.962585 : Epoch  7, Batch    269, Loss  0.603172, Average Loss  0.604291, Time  0.231187
2021-09-15 05:04:31.261967 : Epoch  6, Batch    129, Loss  0.609252, Average Loss  0.607408, Time  0.257640
2021-09-15 05:04:32.511675 : Epoch  7, Batch    270, Loss  0.597298, Average Loss  0.604192, Time  0.231373
2021-09-15 05:04:32.937423 : Epoch  6, Batch    130, Loss  0.604332, Average Loss  0.607424, Time  0.259311
2021-09-15 05:04:34.053571 : Epoch  7, Batch    271, Loss  0.595539, Average Loss  0.604101, Time  0.230747
2021-09-15 05:04:34.625080 : Epoch  6, Batch    131, Loss  0.613184, Average Loss  0.607483, Time  0.261945
2021-09-15 05:04:35.595549 : Epoch  7, Batch    272, Loss  0.593472, Average Loss  0.604010, Time  0.231137
2021-09-15 05:04:36.315105 : Epoch  6, Batch    132, Loss  0.596233, Average Loss  0.607380, Time  0.260229
2021-09-15 05:04:37.145927 : Epoch  7, Batch    273, Loss  0.607504, Average Loss  0.603897, Time  0.231298
2021-09-15 05:04:38.005414 : Epoch  6, Batch    133, Loss  0.604739, Average Loss  0.607354, Time  0.256971
2021-09-15 05:04:38.693385 : Epoch  7, Batch    274, Loss  0.611682, Average Loss  0.603936, Time  0.231401
2021-09-15 05:04:39.542909 : Epoch  6, Batch    134, Loss  0.613443, Average Loss  0.607364, Time  0.238395
2021-09-15 05:04:40.250459 : Epoch  7, Batch    275, Loss  0.609228, Average Loss  0.604022, Time  0.231866
2021-09-15 05:04:41.077886 : Epoch  6, Batch    135, Loss  0.610673, Average Loss  0.607365, Time  0.240072
2021-09-15 05:04:41.801442 : Epoch  7, Batch    276, Loss  0.607469, Average Loss  0.604092, Time  0.232331
2021-09-15 05:04:43.350199 : Epoch  7, Batch    277, Loss  0.601864, Average Loss  0.604063, Time  0.231327
2021-09-15 05:04:45.271442 : Epoch  6, Batch    136, Loss  0.606586, Average Loss  0.607371, Time  0.271008
2021-09-15 05:04:46.791827 : Epoch  6, Batch    137, Loss  0.610931, Average Loss  0.607350, Time  0.242240
2021-09-15 05:04:47.257627 : Epoch  7, Batch    278, Loss  0.587035, Average Loss  0.603979, Time  0.269602
2021-09-15 05:04:48.362915 : Epoch  6, Batch    138, Loss  0.598083, Average Loss  0.607264, Time  0.241689
2021-09-15 05:04:49.902381 : Epoch  6, Batch    139, Loss  0.601394, Average Loss  0.607181, Time  0.239137
2021-09-15 05:04:51.445111 : Epoch  6, Batch    140, Loss  0.607545, Average Loss  0.607152, Time  0.242443
2021-09-15 05:04:53.128384 : Epoch  6, Batch    141, Loss  0.602929, Average Loss  0.607093, Time  0.256315
2021-09-15 05:04:54.827058 : Epoch  6, Batch    142, Loss  0.605244, Average Loss  0.607076, Time  0.258766
2021-09-15 05:04:56.517049 : Epoch  6, Batch    143, Loss  0.610371, Average Loss  0.607091, Time  0.259203
2021-09-15 05:04:58.204109 : Epoch  6, Batch    144, Loss  0.594834, Average Loss  0.606965, Time  0.257633
2021-09-15 05:04:59.732055 : Epoch  6, Batch    145, Loss  0.606475, Average Loss  0.606925, Time  0.238734
2021-09-15 05:05:01.274920 : Epoch  6, Batch    146, Loss  0.598646, Average Loss  0.606777, Time  0.239637
2021-09-15 05:05:02.819388 : Epoch  6, Batch    147, Loss  0.615695, Average Loss  0.606833, Time  0.239965
2021-09-15 05:05:04.357033 : Epoch  6, Batch    148, Loss  0.605659, Average Loss  0.606877, Time  0.240321
2021-09-15 05:05:05.885134 : Epoch  6, Batch    149, Loss  0.602797, Average Loss  0.606852, Time  0.240538
2021-09-15 05:05:07.429053 : Epoch  6, Batch    150, Loss  0.591795, Average Loss  0.606767, Time  0.240819
2021-09-15 05:05:08.952819 : Epoch  6, Batch    151, Loss  0.597361, Average Loss  0.606689, Time  0.239815
2021-09-15 05:05:10.493068 : Epoch  6, Batch    152, Loss  0.603831, Average Loss  0.606652, Time  0.239694
2021-09-15 05:05:12.022374 : Epoch  6, Batch    153, Loss  0.600204, Average Loss  0.606611, Time  0.240483
2021-09-15 05:05:13.546924 : Epoch  6, Batch    154, Loss  0.604204, Average Loss  0.606566, Time  0.238248
2021-09-15 05:05:15.076421 : Epoch  6, Batch    155, Loss  0.612047, Average Loss  0.606554, Time  0.240052
2021-09-15 05:05:16.606879 : Epoch  6, Batch    156, Loss  0.592920, Average Loss  0.606470, Time  0.240641
2021-09-15 05:05:18.137794 : Epoch  6, Batch    157, Loss  0.613975, Average Loss  0.606447, Time  0.240966
2021-09-15 05:05:19.674157 : Epoch  6, Batch    158, Loss  0.602879, Average Loss  0.606420, Time  0.241614
2021-09-15 05:05:21.222417 : Epoch  6, Batch    159, Loss  0.602445, Average Loss  0.606418, Time  0.241622
2021-09-15 05:05:22.754977 : Epoch  6, Batch    160, Loss  0.617716, Average Loss  0.606492, Time  0.238862
2021-09-15 05:05:24.289387 : Epoch  6, Batch    161, Loss  0.600089, Average Loss  0.606481, Time  0.238721
2021-09-15 05:05:25.965808 : Epoch  6, Batch    162, Loss  0.605932, Average Loss  0.606466, Time  0.257833
2021-09-15 05:05:27.662454 : Epoch  6, Batch    163, Loss  0.610494, Average Loss  0.606524, Time  0.260048
2021-09-15 05:05:29.368988 : Epoch  6, Batch    164, Loss  0.603335, Average Loss  0.606518, Time  0.258721
2021-09-15 05:05:31.072884 : Epoch  6, Batch    165, Loss  0.604766, Average Loss  0.606515, Time  0.260447
2021-09-15 05:05:44.692485 : CheckPoint: Validation Loss  0.00025419, Best Loss  0.00024571
2021-09-15 05:05:46.259342 : Epoch  7, Batch    279, Loss  0.604488, Average Loss  0.603942, Time  0.231880
2021-09-15 05:05:47.798584 : Epoch  7, Batch    280, Loss  0.608798, Average Loss  0.604027, Time  0.231070
2021-09-15 05:05:49.346923 : Epoch  7, Batch    281, Loss  0.607244, Average Loss  0.603986, Time  0.231573
2021-09-15 05:05:50.894416 : Epoch  7, Batch    282, Loss  0.596439, Average Loss  0.603882, Time  0.231387
2021-09-15 05:05:52.448039 : Epoch  7, Batch    283, Loss  0.590088, Average Loss  0.603816, Time  0.232290
2021-09-15 05:05:52.555996 : CheckPoint: Validation Loss  0.00029936, Best Loss  0.00029921
2021-09-15 05:05:53.989275 : Epoch  7, Batch    284, Loss  0.603585, Average Loss  0.603903, Time  0.231518
2021-09-15 05:05:55.536281 : Epoch  7, Batch    285, Loss  0.586588, Average Loss  0.603808, Time  0.230841
2021-09-15 05:05:55.572453 : Epoch  1, Batch   1801, Loss  0.887662, Average Loss  0.874751, Time  0.266226
2021-09-15 05:05:57.074231 : Epoch  7, Batch    286, Loss  0.616321, Average Loss  0.603863, Time  0.230983
2021-09-15 05:05:58.591408 : Epoch  1, Batch   1802, Loss  0.854698, Average Loss  0.874691, Time  0.265435
2021-09-15 05:05:58.622978 : Epoch  7, Batch    287, Loss  0.600944, Average Loss  0.603830, Time  0.231689
2021-09-15 05:06:00.164937 : Epoch  7, Batch    288, Loss  0.605432, Average Loss  0.603780, Time  0.231012
2021-09-15 05:06:01.608756 : Epoch  1, Batch   1803, Loss  0.886610, Average Loss  0.874745, Time  0.264436
2021-09-15 05:06:01.715711 : Epoch  7, Batch    289, Loss  0.601814, Average Loss  0.603723, Time  0.230747
2021-09-15 05:06:03.266895 : Epoch  7, Batch    290, Loss  0.614011, Average Loss  0.603748, Time  0.232337
2021-09-15 05:06:04.621650 : Epoch  1, Batch   1804, Loss  0.876802, Average Loss  0.874789, Time  0.267291
2021-09-15 05:06:04.807882 : Epoch  7, Batch    291, Loss  0.611289, Average Loss  0.603812, Time  0.231580
2021-09-15 05:06:06.346386 : Epoch  7, Batch    292, Loss  0.590934, Average Loss  0.603755, Time  0.232063
2021-09-15 05:06:07.622458 : Epoch  1, Batch   1805, Loss  0.864486, Average Loss  0.874674, Time  0.264822
2021-09-15 05:06:07.893111 : Epoch  7, Batch    293, Loss  0.600521, Average Loss  0.603708, Time  0.231439
2021-09-15 05:06:09.432399 : Epoch  7, Batch    294, Loss  0.592824, Average Loss  0.603608, Time  0.231172
2021-09-15 05:06:10.643640 : Epoch  1, Batch   1806, Loss  0.913530, Average Loss  0.874863, Time  0.265407
2021-09-15 05:06:10.977327 : Epoch  7, Batch    295, Loss  0.604098, Average Loss  0.603563, Time  0.231458
2021-09-15 05:06:12.521325 : Epoch  7, Batch    296, Loss  0.611498, Average Loss  0.603647, Time  0.231180
2021-09-15 05:06:13.654369 : Epoch  1, Batch   1807, Loss  0.855731, Average Loss  0.874761, Time  0.265257
2021-09-15 05:06:14.068913 : Epoch  7, Batch    297, Loss  0.611404, Average Loss  0.603688, Time  0.230972
2021-09-15 05:06:15.616410 : Epoch  7, Batch    298, Loss  0.605935, Average Loss  0.603740, Time  0.231415
2021-09-15 05:06:16.664081 : Epoch  1, Batch   1808, Loss  0.878552, Average Loss  0.874799, Time  0.265720
2021-09-15 05:06:17.157865 : Epoch  7, Batch    299, Loss  0.602419, Average Loss  0.603733, Time  0.231509
2021-09-15 05:06:18.699439 : Epoch  7, Batch    300, Loss  0.597581, Average Loss  0.603663, Time  0.231171
2021-09-15 05:06:19.704004 : Epoch  1, Batch   1809, Loss  0.883364, Average Loss  0.874804, Time  0.266719
2021-09-15 05:06:20.249137 : Epoch  7, Batch    301, Loss  0.587003, Average Loss  0.603589, Time  0.231173
2021-09-15 05:06:21.804646 : Epoch  7, Batch    302, Loss  0.598450, Average Loss  0.603500, Time  0.231071
2021-09-15 05:06:22.759268 : Epoch  1, Batch   1810, Loss  0.862441, Average Loss  0.874757, Time  0.265143
2021-09-15 05:06:23.354350 : Epoch  7, Batch    303, Loss  0.598874, Average Loss  0.603414, Time  0.231330
2021-09-15 05:06:24.894606 : Epoch  7, Batch    304, Loss  0.606166, Average Loss  0.603374, Time  0.231308
2021-09-15 05:06:25.770282 : Epoch  1, Batch   1811, Loss  0.860517, Average Loss  0.874645, Time  0.277043
2021-09-15 05:06:26.436264 : Epoch  7, Batch    305, Loss  0.613604, Average Loss  0.603462, Time  0.231260
2021-09-15 05:06:27.994453 : Epoch  7, Batch    306, Loss  0.604974, Average Loss  0.603492, Time  0.232146
2021-09-15 05:06:28.780380 : Epoch  1, Batch   1812, Loss  0.870233, Average Loss  0.874691, Time  0.264479
2021-09-15 05:06:29.537066 : Epoch  7, Batch    307, Loss  0.595455, Average Loss  0.603469, Time  0.231240
2021-09-15 05:06:30.243820 : Epoch  1, Batch   1813, Loss  0.864726, Average Loss  0.874693, Time  0.169586
2021-09-15 05:06:31.087794 : Epoch  7, Batch    308, Loss  0.600256, Average Loss  0.603467, Time  0.231310
2021-09-15 05:06:32.633933 : Epoch  7, Batch    309, Loss  0.600890, Average Loss  0.603443, Time  0.231763
2021-09-15 05:06:33.242261 : Epoch  1, Batch   1814, Loss  0.862469, Average Loss  0.874581, Time  0.264698
2021-09-15 05:06:33.576682 : CheckPoint: Validation Loss  0.00024931, Best Loss  0.00024341
2021-09-15 05:06:34.175764 : Epoch  7, Batch    310, Loss  0.599323, Average Loss  0.603460, Time  0.231170
2021-09-15 05:06:35.103954 : Epoch  6, Batch    166, Loss  0.609276, Average Loss  0.606547, Time  0.239246
2021-09-15 05:06:35.722034 : Epoch  7, Batch    311, Loss  0.606521, Average Loss  0.603496, Time  0.231706
2021-09-15 05:06:36.285749 : Epoch  1, Batch   1815, Loss  0.867533, Average Loss  0.874517, Time  0.264553
2021-09-15 05:06:36.618295 : Epoch  6, Batch    167, Loss  0.615244, Average Loss  0.606559, Time  0.238389
2021-09-15 05:06:37.271307 : Epoch  7, Batch    312, Loss  0.591523, Average Loss  0.603382, Time  0.231612
2021-09-15 05:06:38.135858 : Epoch  6, Batch    168, Loss  0.622843, Average Loss  0.606671, Time  0.237871
2021-09-15 05:06:38.818799 : Epoch  7, Batch    313, Loss  0.608372, Average Loss  0.603434, Time  0.231386
2021-09-15 05:06:39.379333 : Epoch  1, Batch   1816, Loss  0.871194, Average Loss  0.874482, Time  0.266161
2021-09-15 05:06:39.676068 : Epoch  6, Batch    169, Loss  0.607676, Average Loss  0.606685, Time  0.240033
2021-09-15 05:06:40.367292 : Epoch  7, Batch    314, Loss  0.588057, Average Loss  0.603300, Time  0.231652
2021-09-15 05:06:41.212886 : Epoch  6, Batch    170, Loss  0.607840, Average Loss  0.606735, Time  0.239032
2021-09-15 05:06:41.913004 : Epoch  7, Batch    315, Loss  0.605886, Average Loss  0.603361, Time  0.232434
2021-09-15 05:06:42.428675 : Epoch  1, Batch   1817, Loss  0.847536, Average Loss  0.874336, Time  0.264164
2021-09-15 05:06:42.738802 : Epoch  6, Batch    171, Loss  0.601879, Average Loss  0.606629, Time  0.238051
2021-09-15 05:06:43.456926 : Epoch  7, Batch    316, Loss  0.589979, Average Loss  0.603280, Time  0.231789
2021-09-15 05:06:44.265939 : Epoch  6, Batch    172, Loss  0.615339, Average Loss  0.606698, Time  0.241902
2021-09-15 05:06:45.024364 : Epoch  7, Batch    317, Loss  0.601001, Average Loss  0.603288, Time  0.231859
2021-09-15 05:06:45.430528 : Epoch  1, Batch   1818, Loss  0.876004, Average Loss  0.874334, Time  0.264155
2021-09-15 05:06:45.817440 : Epoch  6, Batch    173, Loss  0.607491, Average Loss  0.606725, Time  0.241718
2021-09-15 05:06:46.577417 : Epoch  7, Batch    318, Loss  0.595105, Average Loss  0.603269, Time  0.231192
2021-09-15 05:06:47.344241 : Epoch  6, Batch    174, Loss  0.616992, Average Loss  0.606810, Time  0.238202
2021-09-15 05:06:48.116228 : Epoch  7, Batch    319, Loss  0.612134, Average Loss  0.603330, Time  0.231525
2021-09-15 05:06:48.422718 : Epoch  1, Batch   1819, Loss  0.860077, Average Loss  0.874464, Time  0.264579
2021-09-15 05:06:48.894054 : Epoch  6, Batch    175, Loss  0.599714, Average Loss  0.606737, Time  0.240911
2021-09-15 05:06:49.661586 : Epoch  7, Batch    320, Loss  0.609297, Average Loss  0.603375, Time  0.231633
2021-09-15 05:06:50.423360 : Epoch  6, Batch    176, Loss  0.607133, Average Loss  0.606746, Time  0.238828
2021-09-15 05:06:51.219532 : Epoch  7, Batch    321, Loss  0.590057, Average Loss  0.603274, Time  0.230883
2021-09-15 05:06:51.423824 : Epoch  1, Batch   1820, Loss  0.861964, Average Loss  0.874327, Time  0.265763
2021-09-15 05:06:51.959372 : Epoch  6, Batch    177, Loss  0.598816, Average Loss  0.606642, Time  0.238613
2021-09-15 05:06:52.772083 : Epoch  7, Batch    322, Loss  0.603181, Average Loss  0.603257, Time  0.232510
2021-09-15 05:06:53.495234 : Epoch  6, Batch    178, Loss  0.598637, Average Loss  0.606586, Time  0.238987
2021-09-15 05:06:54.316403 : Epoch  7, Batch    323, Loss  0.602272, Average Loss  0.603320, Time  0.231407
2021-09-15 05:06:54.423324 : Epoch  1, Batch   1821, Loss  0.885944, Average Loss  0.874346, Time  0.264666
2021-09-15 05:06:55.038444 : Epoch  6, Batch    179, Loss  0.602471, Average Loss  0.606515, Time  0.239206
2021-09-15 05:06:55.859654 : Epoch  7, Batch    324, Loss  0.599436, Average Loss  0.603341, Time  0.231282
2021-09-15 05:06:56.581308 : Epoch  6, Batch    180, Loss  0.599110, Average Loss  0.606470, Time  0.238333
2021-09-15 05:06:57.408110 : Epoch  7, Batch    325, Loss  0.609363, Average Loss  0.603388, Time  0.231687
2021-09-15 05:06:57.453450 : Epoch  1, Batch   1822, Loss  0.864835, Average Loss  0.874367, Time  0.265337
2021-09-15 05:06:58.127593 : Epoch  6, Batch    181, Loss  0.600833, Average Loss  0.606423, Time  0.241385
2021-09-15 05:06:58.949123 : Epoch  7, Batch    326, Loss  0.608689, Average Loss  0.603366, Time  0.231349
2021-09-15 05:06:59.809068 : Epoch  6, Batch    182, Loss  0.612181, Average Loss  0.606397, Time  0.257938
2021-09-15 05:07:00.467508 : Epoch  1, Batch   1823, Loss  0.867199, Average Loss  0.874361, Time  0.265387
2021-09-15 05:07:00.498318 : Epoch  7, Batch    327, Loss  0.597478, Average Loss  0.603327, Time  0.231330
2021-09-15 05:07:01.494320 : Epoch  6, Batch    183, Loss  0.615679, Average Loss  0.606416, Time  0.258448
2021-09-15 05:07:02.053535 : Epoch  7, Batch    328, Loss  0.587962, Average Loss  0.603278, Time  0.231444
2021-09-15 05:07:03.047098 : Epoch  6, Batch    184, Loss  0.604425, Average Loss  0.606429, Time  0.244222
2021-09-15 05:07:03.451053 : Epoch  1, Batch   1824, Loss  0.883560, Average Loss  0.874458, Time  0.266110
2021-09-15 05:07:03.599351 : Epoch  7, Batch    329, Loss  0.591709, Average Loss  0.603158, Time  0.230943
2021-09-15 05:07:04.576955 : Epoch  6, Batch    185, Loss  0.598625, Average Loss  0.606375, Time  0.239621
2021-09-15 05:07:05.140759 : Epoch  7, Batch    330, Loss  0.609367, Average Loss  0.603161, Time  0.231312
2021-09-15 05:07:06.110824 : Epoch  6, Batch    186, Loss  0.611191, Average Loss  0.606373, Time  0.241557
2021-09-15 05:07:06.453960 : Epoch  1, Batch   1825, Loss  0.880619, Average Loss  0.874408, Time  0.264878
2021-09-15 05:07:06.692232 : Epoch  7, Batch    331, Loss  0.607686, Average Loss  0.603202, Time  0.232265
2021-09-15 05:07:07.650031 : Epoch  6, Batch    187, Loss  0.596170, Average Loss  0.606339, Time  0.240561
2021-09-15 05:07:08.226599 : Epoch  7, Batch    332, Loss  0.607719, Average Loss  0.603211, Time  0.230414
2021-09-15 05:07:09.193385 : Epoch  6, Batch    188, Loss  0.611809, Average Loss  0.606383, Time  0.240083
2021-09-15 05:07:09.455375 : Epoch  1, Batch   1826, Loss  0.867351, Average Loss  0.874397, Time  0.265514
2021-09-15 05:07:09.769421 : Epoch  7, Batch    333, Loss  0.614473, Average Loss  0.603261, Time  0.231115
2021-09-15 05:07:10.727373 : Epoch  6, Batch    189, Loss  0.601135, Average Loss  0.606313, Time  0.240128
2021-09-15 05:07:11.318232 : Epoch  7, Batch    334, Loss  0.609042, Average Loss  0.603262, Time  0.231202
2021-09-15 05:07:12.262838 : Epoch  6, Batch    190, Loss  0.612241, Average Loss  0.606333, Time  0.240891
2021-09-15 05:07:12.469650 : Epoch  1, Batch   1827, Loss  0.868392, Average Loss  0.874388, Time  0.272461
2021-09-15 05:07:12.861128 : Epoch  7, Batch    335, Loss  0.599620, Average Loss  0.603199, Time  0.232777
2021-09-15 05:07:13.799858 : Epoch  6, Batch    191, Loss  0.614965, Average Loss  0.606386, Time  0.242920
2021-09-15 05:07:14.402071 : Epoch  7, Batch    336, Loss  0.610139, Average Loss  0.603198, Time  0.231162
2021-09-15 05:07:15.346893 : Epoch  6, Batch    192, Loss  0.610069, Average Loss  0.606436, Time  0.241763
2021-09-15 05:07:15.471549 : Epoch  1, Batch   1828, Loss  0.894492, Average Loss  0.874428, Time  0.265223
2021-09-15 05:07:15.945440 : Epoch  7, Batch    337, Loss  0.594579, Average Loss  0.603161, Time  0.231447
2021-09-15 05:07:16.881690 : Epoch  6, Batch    193, Loss  0.610168, Average Loss  0.606473, Time  0.241279
2021-09-15 05:07:17.480740 : Epoch  7, Batch    338, Loss  0.604943, Average Loss  0.603226, Time  0.230849
2021-09-15 05:07:18.429941 : Epoch  6, Batch    194, Loss  0.604391, Average Loss  0.606401, Time  0.240961
2021-09-15 05:07:18.468422 : Epoch  1, Batch   1829, Loss  0.897423, Average Loss  0.874536, Time  0.264862
2021-09-15 05:07:19.025557 : Epoch  7, Batch    339, Loss  0.595843, Average Loss  0.603116, Time  0.230758
2021-09-15 05:07:19.979474 : Epoch  6, Batch    195, Loss  0.597790, Average Loss  0.606375, Time  0.240719
2021-09-15 05:07:20.566578 : Epoch  7, Batch    340, Loss  0.608186, Average Loss  0.603131, Time  0.231134
2021-09-15 05:07:21.495398 : Epoch  1, Batch   1830, Loss  0.853431, Average Loss  0.874382, Time  0.264735
2021-09-15 05:07:21.515356 : Epoch  6, Batch    196, Loss  0.596701, Average Loss  0.606246, Time  0.239787
2021-09-15 05:07:22.111482 : Epoch  7, Batch    341, Loss  0.599900, Average Loss  0.603207, Time  0.233111
2021-09-15 05:07:23.061319 : Epoch  6, Batch    197, Loss  0.586833, Average Loss  0.606142, Time  0.240825
2021-09-15 05:07:23.656923 : Epoch  7, Batch    342, Loss  0.609813, Average Loss  0.603266, Time  0.231982
2021-09-15 05:07:24.496515 : Epoch  1, Batch   1831, Loss  0.869665, Average Loss  0.874371, Time  0.265223
2021-09-15 05:07:24.600870 : Epoch  6, Batch    198, Loss  0.605396, Average Loss  0.606097, Time  0.239724
2021-09-15 05:07:25.208947 : Epoch  7, Batch    343, Loss  0.596757, Average Loss  0.603253, Time  0.234126
2021-09-15 05:07:26.134111 : Epoch  6, Batch    199, Loss  0.613295, Average Loss  0.606114, Time  0.238909
2021-09-15 05:07:26.775810 : Epoch  7, Batch    344, Loss  0.592657, Average Loss  0.603210, Time  0.231341
2021-09-15 05:07:27.504503 : Epoch  1, Batch   1832, Loss  0.877947, Average Loss  0.874413, Time  0.265680
2021-09-15 05:07:27.667986 : Epoch  6, Batch    200, Loss  0.604752, Average Loss  0.606120, Time  0.240973
2021-09-15 05:07:28.310038 : Epoch  7, Batch    345, Loss  0.596856, Average Loss  0.603214, Time  0.231118
2021-09-15 05:07:29.198400 : Epoch  6, Batch    201, Loss  0.615081, Average Loss  0.606175, Time  0.240103
2021-09-15 05:07:29.844812 : Epoch  7, Batch    346, Loss  0.593250, Average Loss  0.603164, Time  0.230558
2021-09-15 05:07:30.542294 : Epoch  1, Batch   1833, Loss  0.874669, Average Loss  0.874415, Time  0.265349
2021-09-15 05:07:30.738849 : Epoch  6, Batch    202, Loss  0.616767, Average Loss  0.606209, Time  0.239071
2021-09-15 05:07:31.389751 : Epoch  7, Batch    347, Loss  0.612028, Average Loss  0.603143, Time  0.231577
2021-09-15 05:07:32.271862 : Epoch  6, Batch    203, Loss  0.606004, Average Loss  0.606171, Time  0.238504
2021-09-15 05:07:32.936156 : Epoch  7, Batch    348, Loss  0.607542, Average Loss  0.603079, Time  0.231471
2021-09-15 05:07:33.556980 : Epoch  1, Batch   1834, Loss  0.877296, Average Loss  0.874604, Time  0.265370
2021-09-15 05:07:33.809926 : Epoch  6, Batch    204, Loss  0.607068, Average Loss  0.606178, Time  0.239406
2021-09-15 05:07:35.337830 : Epoch  6, Batch    205, Loss  0.609078, Average Loss  0.606239, Time  0.240142
2021-09-15 05:07:36.616253 : Epoch  1, Batch   1835, Loss  0.877928, Average Loss  0.874579, Time  0.263834
2021-09-15 05:07:36.826613 : Epoch  7, Batch    349, Loss  0.612761, Average Loss  0.603153, Time  0.261746
2021-09-15 05:07:36.881396 : Epoch  6, Batch    206, Loss  0.600918, Average Loss  0.606232, Time  0.241127
2021-09-15 05:07:38.376328 : Epoch  7, Batch    350, Loss  0.605691, Average Loss  0.603117, Time  0.232052
2021-09-15 05:07:38.429929 : Epoch  6, Batch    207, Loss  0.607975, Average Loss  0.606336, Time  0.241602
2021-09-15 05:07:39.625285 : Epoch  1, Batch   1836, Loss  0.852706, Average Loss  0.874475, Time  0.265285
2021-09-15 05:07:39.913150 : Epoch  7, Batch    351, Loss  0.593067, Average Loss  0.603040, Time  0.231290
2021-09-15 05:07:39.962833 : Epoch  6, Batch    208, Loss  0.613965, Average Loss  0.606411, Time  0.239613
2021-09-15 05:07:41.453540 : Epoch  7, Batch    352, Loss  0.597945, Average Loss  0.602983, Time  0.231573
2021-09-15 05:07:41.488223 : Epoch  6, Batch    209, Loss  0.618379, Average Loss  0.606473, Time  0.239432
2021-09-15 05:07:42.623147 : Epoch  1, Batch   1837, Loss  0.866883, Average Loss  0.874472, Time  0.263888
2021-09-15 05:07:43.036903 : Epoch  7, Batch    353, Loss  0.596424, Average Loss  0.602985, Time  0.231514
2021-09-15 05:07:43.085884 : Epoch  6, Batch    210, Loss  0.597626, Average Loss  0.606412, Time  0.239701
2021-09-15 05:07:44.571680 : Epoch  7, Batch    354, Loss  0.593210, Average Loss  0.602939, Time  0.231673
2021-09-15 05:07:44.616444 : Epoch  6, Batch    211, Loss  0.612490, Average Loss  0.606514, Time  0.239707
2021-09-15 05:07:45.631486 : Epoch  1, Batch   1838, Loss  0.880243, Average Loss  0.874419, Time  0.265069
2021-09-15 05:07:46.117098 : Epoch  7, Batch    355, Loss  0.601788, Average Loss  0.602954, Time  0.231260
2021-09-15 05:07:46.139545 : Epoch  6, Batch    212, Loss  0.601393, Average Loss  0.606532, Time  0.237222
2021-09-15 05:07:47.658082 : Epoch  7, Batch    356, Loss  0.593384, Average Loss  0.602833, Time  0.232767
2021-09-15 05:07:47.698878 : Epoch  6, Batch    213, Loss  0.593253, Average Loss  0.606457, Time  0.240010
2021-09-15 05:07:48.632256 : Epoch  1, Batch   1839, Loss  0.884099, Average Loss  0.874466, Time  0.265995
2021-09-15 05:07:49.207811 : Epoch  7, Batch    357, Loss  0.602007, Average Loss  0.602765, Time  0.231532
2021-09-15 05:07:49.237792 : Epoch  6, Batch    214, Loss  0.605953, Average Loss  0.606462, Time  0.239316
2021-09-15 05:07:50.761401 : Epoch  7, Batch    358, Loss  0.599323, Average Loss  0.602726, Time  0.231713
2021-09-15 05:07:50.791065 : Epoch  6, Batch    215, Loss  0.600749, Average Loss  0.606451, Time  0.238246
2021-09-15 05:07:51.678798 : Epoch  1, Batch   1840, Loss  0.890799, Average Loss  0.874584, Time  0.264724
2021-09-15 05:07:52.311348 : Epoch  7, Batch    359, Loss  0.606151, Average Loss  0.602691, Time  0.233155
2021-09-15 05:07:52.343949 : Epoch  6, Batch    216, Loss  0.600390, Average Loss  0.606405, Time  0.240836
2021-09-15 05:07:53.861409 : Epoch  7, Batch    360, Loss  0.608274, Average Loss  0.602678, Time  0.231429
2021-09-15 05:07:53.896202 : Epoch  6, Batch    217, Loss  0.618183, Average Loss  0.606411, Time  0.240242
2021-09-15 05:07:54.662488 : Epoch  1, Batch   1841, Loss  0.894228, Average Loss  0.874713, Time  0.264411
2021-09-15 05:07:55.410103 : Epoch  7, Batch    361, Loss  0.595505, Average Loss  0.602646, Time  0.231992
2021-09-15 05:07:55.442975 : Epoch  6, Batch    218, Loss  0.616181, Average Loss  0.606417, Time  0.239078
2021-09-15 05:07:56.961412 : Epoch  7, Batch    362, Loss  0.610812, Average Loss  0.602665, Time  0.231739
2021-09-15 05:07:56.996288 : Epoch  6, Batch    219, Loss  0.607737, Average Loss  0.606511, Time  0.239578
2021-09-15 05:07:57.676193 : Epoch  1, Batch   1842, Loss  0.866151, Average Loss  0.874647, Time  0.276811
2021-09-15 05:07:58.517835 : Epoch  7, Batch    363, Loss  0.602332, Average Loss  0.602610, Time  0.231613
2021-09-15 05:07:58.571998 : Epoch  6, Batch    220, Loss  0.616372, Average Loss  0.606538, Time  0.239096
2021-09-15 05:08:00.064944 : Epoch  7, Batch    364, Loss  0.609933, Average Loss  0.602634, Time  0.231231
2021-09-15 05:08:00.101556 : Epoch  6, Batch    221, Loss  0.608123, Average Loss  0.606557, Time  0.238512
2021-09-15 05:08:00.675253 : Epoch  1, Batch   1843, Loss  0.860567, Average Loss  0.874556, Time  0.265679
2021-09-15 05:08:01.613773 : Epoch  7, Batch    365, Loss  0.618128, Average Loss  0.602743, Time  0.231948
2021-09-15 05:08:01.643171 : Epoch  6, Batch    222, Loss  0.593608, Average Loss  0.606464, Time  0.237911
2021-09-15 05:08:03.157370 : Epoch  7, Batch    366, Loss  0.593932, Average Loss  0.602641, Time  0.231388
2021-09-15 05:08:03.204390 : Epoch  6, Batch    223, Loss  0.598537, Average Loss  0.606449, Time  0.241388
2021-09-15 05:08:03.697402 : Epoch  1, Batch   1844, Loss  0.874674, Average Loss  0.874629, Time  0.267231
2021-09-15 05:08:04.723673 : Epoch  7, Batch    367, Loss  0.597817, Average Loss  0.602605, Time  0.231410
2021-09-15 05:08:04.750087 : Epoch  6, Batch    224, Loss  0.597258, Average Loss  0.606343, Time  0.240933
2021-09-15 05:08:06.264115 : Epoch  7, Batch    368, Loss  0.620197, Average Loss  0.602733, Time  0.233022
2021-09-15 05:08:06.307418 : Epoch  6, Batch    225, Loss  0.612403, Average Loss  0.606343, Time  0.240597
2021-09-15 05:08:06.689654 : Epoch  1, Batch   1845, Loss  0.888028, Average Loss  0.874676, Time  0.264470
2021-09-15 05:08:07.820149 : Epoch  7, Batch    369, Loss  0.600296, Average Loss  0.602706, Time  0.231815
2021-09-15 05:08:07.858942 : Epoch  6, Batch    226, Loss  0.610040, Average Loss  0.606371, Time  0.240764
2021-09-15 05:08:09.384357 : Epoch  6, Batch    227, Loss  0.611066, Average Loss  0.606380, Time  0.240035
2021-09-15 05:08:09.409472 : Epoch  7, Batch    370, Loss  0.601478, Average Loss  0.602708, Time  0.231392
2021-09-15 05:08:09.687233 : Epoch  1, Batch   1846, Loss  0.872643, Average Loss  0.874612, Time  0.265426
2021-09-15 05:08:10.915810 : Epoch  6, Batch    228, Loss  0.604806, Average Loss  0.606345, Time  0.238933
2021-09-15 05:08:10.962779 : Epoch  7, Batch    371, Loss  0.599499, Average Loss  0.602662, Time  0.231897
2021-09-15 05:08:12.446087 : Epoch  6, Batch    229, Loss  0.604635, Average Loss  0.606351, Time  0.238654
2021-09-15 05:08:12.517377 : Epoch  7, Batch    372, Loss  0.595699, Average Loss  0.602607, Time  0.231341
2021-09-15 05:08:12.694008 : Epoch  1, Batch   1847, Loss  0.874453, Average Loss  0.874547, Time  0.265532
2021-09-15 05:08:13.981817 : Epoch  6, Batch    230, Loss  0.620937, Average Loss  0.606397, Time  0.239117
2021-09-15 05:08:14.095280 : Epoch  7, Batch    373, Loss  0.601627, Average Loss  0.602640, Time  0.231192
2021-09-15 05:08:15.501768 : Epoch  6, Batch    231, Loss  0.601675, Average Loss  0.606377, Time  0.237615
2021-09-15 05:08:15.639094 : Epoch  7, Batch    374, Loss  0.603221, Average Loss  0.602601, Time  0.232739
2021-09-15 05:08:15.704889 : Epoch  1, Batch   1848, Loss  0.870360, Average Loss  0.874464, Time  0.265771
2021-09-15 05:08:17.033256 : Epoch  6, Batch    232, Loss  0.616093, Average Loss  0.606432, Time  0.240162
2021-09-15 05:08:17.196901 : Epoch  7, Batch    375, Loss  0.611756, Average Loss  0.602599, Time  0.231886
2021-09-15 05:08:18.574924 : Epoch  6, Batch    233, Loss  0.594537, Average Loss  0.606324, Time  0.240386
2021-09-15 05:08:18.712315 : Epoch  1, Batch   1849, Loss  0.873541, Average Loss  0.874495, Time  0.264223
2021-09-15 05:08:18.743389 : Epoch  7, Batch    376, Loss  0.593044, Average Loss  0.602544, Time  0.231196
2021-09-15 05:08:20.105375 : Epoch  6, Batch    234, Loss  0.618930, Average Loss  0.606383, Time  0.240478
2021-09-15 05:08:20.305155 : Epoch  7, Batch    377, Loss  0.607471, Average Loss  0.602572, Time  0.231355
2021-09-15 05:08:21.635390 : Epoch  6, Batch    235, Loss  0.613486, Average Loss  0.606412, Time  0.237765
2021-09-15 05:08:21.708708 : Epoch  1, Batch   1850, Loss  0.882787, Average Loss  0.874505, Time  0.265106
2021-09-15 05:08:21.847141 : Epoch  7, Batch    378, Loss  0.596239, Average Loss  0.602568, Time  0.231979
2021-09-15 05:08:24.713962 : Epoch  1, Batch   1851, Loss  0.885690, Average Loss  0.874560, Time  0.264614
2021-09-15 05:08:25.862129 : Epoch  6, Batch    236, Loss  0.605430, Average Loss  0.606447, Time  0.267797
2021-09-15 05:08:27.517857 : Epoch  6, Batch    237, Loss  0.608473, Average Loss  0.606441, Time  0.242123
2021-09-15 05:08:27.713140 : Epoch  1, Batch   1852, Loss  0.875982, Average Loss  0.874532, Time  0.265928
2021-09-15 05:08:29.035855 : Epoch  6, Batch    238, Loss  0.609946, Average Loss  0.606543, Time  0.238215
2021-09-15 05:08:30.574919 : Epoch  6, Batch    239, Loss  0.607520, Average Loss  0.606547, Time  0.241622
2021-09-15 05:08:30.714934 : Epoch  1, Batch   1853, Loss  0.877122, Average Loss  0.874534, Time  0.264631
2021-09-15 05:08:32.120216 : Epoch  6, Batch    240, Loss  0.603352, Average Loss  0.606505, Time  0.241123
2021-09-15 05:08:33.645334 : Epoch  6, Batch    241, Loss  0.592352, Average Loss  0.606435, Time  0.240323
2021-09-15 05:08:33.729112 : Epoch  1, Batch   1854, Loss  0.870300, Average Loss  0.874485, Time  0.264492
2021-09-15 05:08:35.168911 : Epoch  6, Batch    242, Loss  0.611594, Average Loss  0.606436, Time  0.239957
2021-09-15 05:08:36.703337 : Epoch  6, Batch    243, Loss  0.604472, Average Loss  0.606532, Time  0.241687
2021-09-15 05:08:36.736184 : Epoch  1, Batch   1855, Loss  0.872477, Average Loss  0.874459, Time  0.264765
2021-09-15 05:08:38.234924 : Epoch  6, Batch    244, Loss  0.602224, Average Loss  0.606569, Time  0.240202
2021-09-15 05:08:39.755345 : Epoch  6, Batch    245, Loss  0.603119, Average Loss  0.606513, Time  0.240448
2021-09-15 05:08:39.774738 : Epoch  1, Batch   1856, Loss  0.855094, Average Loss  0.874344, Time  0.265266
2021-09-15 05:08:39.810562 : Saving Model after 1-th Epoch.
2021-09-15 05:08:40.411754 : Epoch Finished.
2021-09-15 05:08:41.279749 : Epoch  6, Batch    246, Loss  0.607464, Average Loss  0.606532, Time  0.240041
2021-09-15 05:08:42.975400 : Epoch  6, Batch    247, Loss  0.598599, Average Loss  0.606445, Time  0.259607
2021-09-15 05:08:44.671886 : Epoch  6, Batch    248, Loss  0.596624, Average Loss  0.606355, Time  0.260788
2021-09-15 05:08:46.365841 : Epoch  6, Batch    249, Loss  0.614599, Average Loss  0.606387, Time  0.259821
2021-09-15 05:08:48.047237 : Epoch  6, Batch    250, Loss  0.609334, Average Loss  0.606417, Time  0.255393
2021-09-15 05:08:48.699270 : Batch Shuffled
2021-09-15 05:08:49.740322 : Epoch  6, Batch    251, Loss  0.615665, Average Loss  0.606452, Time  0.257489
2021-09-15 05:08:51.443138 : Epoch  6, Batch    252, Loss  0.606935, Average Loss  0.606449, Time  0.260466
2021-09-15 05:08:51.706705 : Epoch  2, Batch      1, Loss  0.853706, Average Loss  0.874288, Time  0.273771
2021-09-15 05:08:53.138456 : Epoch  6, Batch    253, Loss  0.608078, Average Loss  0.606454, Time  0.257930
2021-09-15 05:08:54.701487 : Epoch  2, Batch      2, Loss  0.853867, Average Loss  0.874160, Time  0.264821
2021-09-15 05:08:54.835054 : Epoch  6, Batch    254, Loss  0.605224, Average Loss  0.606486, Time  0.261232
2021-09-15 05:08:56.521349 : Epoch  6, Batch    255, Loss  0.599326, Average Loss  0.606463, Time  0.260010
2021-09-15 05:08:57.702120 : Epoch  2, Batch      3, Loss  0.877983, Average Loss  0.874220, Time  0.264449
2021-09-15 05:08:58.216821 : Epoch  6, Batch    256, Loss  0.616576, Average Loss  0.606487, Time  0.259979
2021-09-15 05:08:59.888376 : Epoch  6, Batch    257, Loss  0.601484, Average Loss  0.606391, Time  0.256512
2021-09-15 05:09:00.703410 : Epoch  2, Batch      4, Loss  0.875742, Average Loss  0.874126, Time  0.264331
2021-09-15 05:09:01.568814 : Epoch  6, Batch    258, Loss  0.611908, Average Loss  0.606443, Time  0.257705
2021-09-15 05:09:03.132890 : Epoch  6, Batch    259, Loss  0.591976, Average Loss  0.606381, Time  0.239254
2021-09-15 05:09:03.711846 : Epoch  2, Batch      5, Loss  0.874036, Average Loss  0.874218, Time  0.264571
2021-09-15 05:09:04.656824 : Epoch  6, Batch    260, Loss  0.617060, Average Loss  0.606450, Time  0.238573
2021-09-15 05:09:06.173541 : Epoch  6, Batch    261, Loss  0.599496, Average Loss  0.606386, Time  0.237806
2021-09-15 05:09:06.707427 : Epoch  2, Batch      6, Loss  0.873951, Average Loss  0.874211, Time  0.268023
2021-09-15 05:09:07.848854 : Epoch  6, Batch    262, Loss  0.599678, Average Loss  0.606399, Time  0.257099
2021-09-15 05:09:09.544887 : Epoch  6, Batch    263, Loss  0.605523, Average Loss  0.606357, Time  0.260063
2021-09-15 05:09:09.748091 : Epoch  2, Batch      7, Loss  0.866401, Average Loss  0.874163, Time  0.264967
2021-09-15 05:09:11.218373 : Epoch  6, Batch    264, Loss  0.618137, Average Loss  0.606484, Time  0.257097
2021-09-15 05:09:12.772133 : Epoch  2, Batch      8, Loss  0.893712, Average Loss  0.874234, Time  0.265807
2021-09-15 05:09:12.892364 : Epoch  6, Batch    265, Loss  0.602180, Average Loss  0.606485, Time  0.257899
2021-09-15 05:09:15.816674 : Epoch  2, Batch      9, Loss  0.853658, Average Loss  0.874085, Time  0.265439
2021-09-15 05:09:18.804084 : Epoch  2, Batch     10, Loss  0.885150, Average Loss  0.873986, Time  0.265148
2021-09-15 05:09:20.156732 : CheckPoint: Validation Loss  0.00024970, Best Loss  0.00024571
2021-09-15 05:09:21.715307 : Epoch  7, Batch    379, Loss  0.617306, Average Loss  0.602704, Time  0.231693
2021-09-15 05:09:21.832043 : Epoch  2, Batch     11, Loss  0.853099, Average Loss  0.873847, Time  0.266630
2021-09-15 05:09:23.281336 : Epoch  7, Batch    380, Loss  0.595954, Average Loss  0.602639, Time  0.231147
2021-09-15 05:09:24.843178 : Epoch  7, Batch    381, Loss  0.597721, Average Loss  0.602646, Time  0.231337
2021-09-15 05:09:24.860991 : Epoch  2, Batch     12, Loss  0.895296, Average Loss  0.874068, Time  0.265636
2021-09-15 05:09:26.391021 : Epoch  7, Batch    382, Loss  0.610763, Average Loss  0.602724, Time  0.231025
2021-09-15 05:09:27.917089 : Epoch  2, Batch     13, Loss  0.861619, Average Loss  0.874092, Time  0.275755
2021-09-15 05:09:27.943414 : Epoch  7, Batch    383, Loss  0.601686, Average Loss  0.602719, Time  0.231241
2021-09-15 05:09:29.504484 : Epoch  7, Batch    384, Loss  0.606216, Average Loss  0.602694, Time  0.231740
2021-09-15 05:09:30.917733 : Epoch  2, Batch     14, Loss  0.872691, Average Loss  0.874104, Time  0.264998
2021-09-15 05:09:31.062086 : Epoch  7, Batch    385, Loss  0.610176, Average Loss  0.602710, Time  0.231332
2021-09-15 05:09:32.616340 : Epoch  7, Batch    386, Loss  0.612830, Average Loss  0.602773, Time  0.231280
2021-09-15 05:09:33.910176 : Epoch  2, Batch     15, Loss  0.884169, Average Loss  0.874075, Time  0.264466
2021-09-15 05:09:34.168961 : Epoch  7, Batch    387, Loss  0.607457, Average Loss  0.602809, Time  0.231103
2021-09-15 05:09:35.726689 : Epoch  7, Batch    388, Loss  0.597386, Average Loss  0.602820, Time  0.231603
2021-09-15 05:09:36.916299 : Epoch  2, Batch     16, Loss  0.864585, Average Loss  0.873940, Time  0.264479
2021-09-15 05:09:37.281001 : Epoch  7, Batch    389, Loss  0.603927, Average Loss  0.602804, Time  0.231475
2021-09-15 05:09:38.827409 : Epoch  7, Batch    390, Loss  0.592791, Average Loss  0.602814, Time  0.231552
2021-09-15 05:09:39.922040 : Epoch  2, Batch     17, Loss  0.874532, Average Loss  0.873949, Time  0.264109
2021-09-15 05:09:40.404984 : Epoch  7, Batch    391, Loss  0.609366, Average Loss  0.602882, Time  0.231477
2021-09-15 05:09:41.947395 : Epoch  7, Batch    392, Loss  0.599175, Average Loss  0.602906, Time  0.231648
2021-09-15 05:09:42.967035 : Epoch  2, Batch     18, Loss  0.865667, Average Loss  0.873935, Time  0.266608
2021-09-15 05:09:43.510283 : Epoch  7, Batch    393, Loss  0.596076, Average Loss  0.602885, Time  0.231261
2021-09-15 05:09:45.071892 : Epoch  7, Batch    394, Loss  0.599823, Average Loss  0.602841, Time  0.231508
2021-09-15 05:09:45.974897 : Epoch  2, Batch     19, Loss  0.886010, Average Loss  0.873951, Time  0.264658
2021-09-15 05:09:46.636341 : Epoch  7, Batch    395, Loss  0.609364, Average Loss  0.602865, Time  0.232431
2021-09-15 05:09:48.189105 : Epoch  7, Batch    396, Loss  0.598426, Average Loss  0.602818, Time  0.231205
2021-09-15 05:09:49.019683 : Epoch  2, Batch     20, Loss  0.871775, Average Loss  0.873910, Time  0.267188
2021-09-15 05:09:49.742671 : Epoch  7, Batch    397, Loss  0.602478, Average Loss  0.602857, Time  0.231218
2021-09-15 05:09:51.297104 : Epoch  7, Batch    398, Loss  0.609428, Average Loss  0.602898, Time  0.231228
2021-09-15 05:09:52.023162 : Epoch  2, Batch     21, Loss  0.860211, Average Loss  0.873841, Time  0.265519
2021-09-15 05:09:52.851997 : Epoch  7, Batch    399, Loss  0.595605, Average Loss  0.602846, Time  0.231420
2021-09-15 05:09:54.403604 : Epoch  7, Batch    400, Loss  0.603593, Average Loss  0.602804, Time  0.230744
2021-09-15 05:09:55.097921 : Epoch  2, Batch     22, Loss  0.877223, Average Loss  0.873927, Time  0.265497
2021-09-15 05:09:55.948145 : Epoch  7, Batch    401, Loss  0.598712, Average Loss  0.602766, Time  0.231537
2021-09-15 05:09:57.504372 : Epoch  7, Batch    402, Loss  0.593711, Average Loss  0.602747, Time  0.231163
2021-09-15 05:09:58.060374 : Epoch  2, Batch     23, Loss  0.875625, Average Loss  0.873972, Time  0.264732
2021-09-15 05:09:59.060943 : Epoch  7, Batch    403, Loss  0.594814, Average Loss  0.602717, Time  0.231447
2021-09-15 05:10:00.618180 : Epoch  7, Batch    404, Loss  0.602176, Average Loss  0.602691, Time  0.232714
2021-09-15 05:10:01.074895 : Epoch  2, Batch     24, Loss  0.874743, Average Loss  0.873958, Time  0.266353
2021-09-15 05:10:02.173873 : Epoch  7, Batch    405, Loss  0.606467, Average Loss  0.602732, Time  0.231721
2021-09-15 05:10:03.739273 : Epoch  7, Batch    406, Loss  0.614237, Average Loss  0.602789, Time  0.232537
2021-09-15 05:10:04.097784 : Epoch  2, Batch     25, Loss  0.869844, Average Loss  0.873829, Time  0.265040
2021-09-15 05:10:05.301799 : Epoch  7, Batch    407, Loss  0.603157, Average Loss  0.602746, Time  0.237463
2021-09-15 05:10:06.850800 : Epoch  7, Batch    408, Loss  0.607662, Average Loss  0.602761, Time  0.232456
2021-09-15 05:10:07.082758 : Epoch  2, Batch     26, Loss  0.856290, Average Loss  0.873710, Time  0.266132
2021-09-15 05:10:08.397140 : Epoch  7, Batch    409, Loss  0.585733, Average Loss  0.602726, Time  0.231340
2021-09-15 05:10:09.953370 : Epoch  7, Batch    410, Loss  0.603707, Average Loss  0.602748, Time  0.232234
2021-09-15 05:10:10.103755 : Epoch  2, Batch     27, Loss  0.858656, Average Loss  0.873631, Time  0.264674
2021-09-15 05:10:11.522809 : Epoch  7, Batch    411, Loss  0.621277, Average Loss  0.602804, Time  0.233418
2021-09-15 05:10:13.070348 : Epoch  7, Batch    412, Loss  0.601560, Average Loss  0.602811, Time  0.230945
2021-09-15 05:10:13.113433 : Epoch  2, Batch     28, Loss  0.889508, Average Loss  0.873774, Time  0.273271
2021-09-15 05:10:14.617862 : Epoch  7, Batch    413, Loss  0.616743, Average Loss  0.602863, Time  0.231612
2021-09-15 05:10:15.256718 : CheckPoint: Validation Loss  0.00025451, Best Loss  0.00024341
2021-09-15 05:10:16.135796 : Epoch  2, Batch     29, Loss  0.889970, Average Loss  0.873879, Time  0.264659
2021-09-15 05:10:16.172394 : Epoch  7, Batch    414, Loss  0.599701, Average Loss  0.602848, Time  0.231421
2021-09-15 05:10:16.937862 : Epoch  6, Batch    266, Loss  0.602110, Average Loss  0.606465, Time  0.262164
2021-09-15 05:10:17.739372 : Epoch  7, Batch    415, Loss  0.606839, Average Loss  0.602856, Time  0.231668
2021-09-15 05:10:18.607959 : Epoch  6, Batch    267, Loss  0.612652, Average Loss  0.606567, Time  0.260245
2021-09-15 05:10:19.167422 : Epoch  2, Batch     30, Loss  0.884584, Average Loss  0.873860, Time  0.266048
2021-09-15 05:10:19.289404 : Epoch  7, Batch    416, Loss  0.604649, Average Loss  0.602853, Time  0.231161
2021-09-15 05:10:20.279816 : Epoch  6, Batch    268, Loss  0.610301, Average Loss  0.606638, Time  0.257029
2021-09-15 05:10:20.848173 : Epoch  7, Batch    417, Loss  0.604486, Average Loss  0.602890, Time  0.231677
2021-09-15 05:10:21.957372 : Epoch  6, Batch    269, Loss  0.622178, Average Loss  0.606654, Time  0.261060
2021-09-15 05:10:22.181346 : Epoch  2, Batch     31, Loss  0.859558, Average Loss  0.873800, Time  0.265794
2021-09-15 05:10:22.404041 : Epoch  7, Batch    418, Loss  0.592133, Average Loss  0.602817, Time  0.231824
2021-09-15 05:10:23.645766 : Epoch  6, Batch    270, Loss  0.607817, Average Loss  0.606664, Time  0.260232
2021-09-15 05:10:23.954589 : Epoch  7, Batch    419, Loss  0.599315, Average Loss  0.602797, Time  0.231874
2021-09-15 05:10:25.177382 : Epoch  2, Batch     32, Loss  0.889212, Average Loss  0.873906, Time  0.264680
2021-09-15 05:10:25.313472 : Epoch  6, Batch    271, Loss  0.604260, Average Loss  0.606643, Time  0.257570
2021-09-15 05:10:25.501398 : Epoch  7, Batch    420, Loss  0.596664, Average Loss  0.602777, Time  0.231854
2021-09-15 05:10:26.995056 : Epoch  6, Batch    272, Loss  0.604595, Average Loss  0.606609, Time  0.261091
2021-09-15 05:10:27.079811 : Epoch  7, Batch    421, Loss  0.606915, Average Loss  0.602816, Time  0.242215
2021-09-15 05:10:28.186741 : Epoch  2, Batch     33, Loss  0.869744, Average Loss  0.873893, Time  0.266354
2021-09-15 05:10:28.632803 : Epoch  7, Batch    422, Loss  0.604242, Average Loss  0.602798, Time  0.230814
2021-09-15 05:10:28.677408 : Epoch  6, Batch    273, Loss  0.609418, Average Loss  0.606564, Time  0.257777
2021-09-15 05:10:30.190050 : Epoch  7, Batch    423, Loss  0.608366, Average Loss  0.602863, Time  0.232000
2021-09-15 05:10:30.360869 : Epoch  6, Batch    274, Loss  0.610824, Average Loss  0.606635, Time  0.260298
2021-09-15 05:10:31.196062 : Epoch  2, Batch     34, Loss  0.883750, Average Loss  0.873893, Time  0.264812
2021-09-15 05:10:31.740618 : Epoch  7, Batch    424, Loss  0.600715, Average Loss  0.602834, Time  0.231328
2021-09-15 05:10:32.033341 : Epoch  6, Batch    275, Loss  0.602152, Average Loss  0.606640, Time  0.259361
2021-09-15 05:10:33.291201 : Epoch  7, Batch    425, Loss  0.586751, Average Loss  0.602731, Time  0.231387
2021-09-15 05:10:33.717922 : Epoch  6, Batch    276, Loss  0.602612, Average Loss  0.606645, Time  0.258399
2021-09-15 05:10:34.205658 : Epoch  2, Batch     35, Loss  0.895044, Average Loss  0.873898, Time  0.264610
2021-09-15 05:10:34.859773 : Epoch  7, Batch    426, Loss  0.597618, Average Loss  0.602669, Time  0.232800
2021-09-15 05:10:35.397452 : Epoch  6, Batch    277, Loss  0.603678, Average Loss  0.606653, Time  0.261195
2021-09-15 05:10:36.414293 : Epoch  7, Batch    427, Loss  0.597259, Average Loss  0.602626, Time  0.232979
2021-09-15 05:10:37.072914 : Epoch  6, Batch    278, Loss  0.608583, Average Loss  0.606698, Time  0.257354
2021-09-15 05:10:37.230152 : Epoch  2, Batch     36, Loss  0.872992, Average Loss  0.873866, Time  0.264879
2021-09-15 05:10:37.968652 : Epoch  7, Batch    428, Loss  0.619103, Average Loss  0.602680, Time  0.231345
2021-09-15 05:10:38.753791 : Epoch  6, Batch    279, Loss  0.595727, Average Loss  0.606646, Time  0.260639
2021-09-15 05:10:39.527328 : Epoch  7, Batch    429, Loss  0.599004, Average Loss  0.602665, Time  0.231365
2021-09-15 05:10:40.234692 : Epoch  2, Batch     37, Loss  0.856982, Average Loss  0.873797, Time  0.265157
2021-09-15 05:10:40.441921 : Epoch  6, Batch    280, Loss  0.598701, Average Loss  0.606615, Time  0.258982
2021-09-15 05:10:41.080082 : Epoch  7, Batch    430, Loss  0.607627, Average Loss  0.602623, Time  0.231281
2021-09-15 05:10:42.126177 : Epoch  6, Batch    281, Loss  0.597763, Average Loss  0.606565, Time  0.260754
2021-09-15 05:10:42.623105 : Epoch  7, Batch    431, Loss  0.609697, Average Loss  0.602625, Time  0.231377
2021-09-15 05:10:43.232092 : Epoch  2, Batch     38, Loss  0.861745, Average Loss  0.873714, Time  0.265095
2021-09-15 05:10:43.668154 : Epoch  6, Batch    282, Loss  0.594968, Average Loss  0.606552, Time  0.241987
2021-09-15 05:10:44.165618 : Epoch  7, Batch    432, Loss  0.594816, Average Loss  0.602614, Time  0.231050
2021-09-15 05:10:45.215417 : Epoch  6, Batch    283, Loss  0.619813, Average Loss  0.606625, Time  0.249978
2021-09-15 05:10:45.711257 : Epoch  7, Batch    433, Loss  0.600114, Average Loss  0.602617, Time  0.231458
2021-09-15 05:10:46.228317 : Epoch  2, Batch     39, Loss  0.887053, Average Loss  0.873736, Time  0.264529
2021-09-15 05:10:46.740163 : Epoch  6, Batch    284, Loss  0.606176, Average Loss  0.606569, Time  0.238804
2021-09-15 05:10:47.266227 : Epoch  7, Batch    434, Loss  0.614652, Average Loss  0.602646, Time  0.231905
2021-09-15 05:10:48.439473 : Epoch  6, Batch    285, Loss  0.607673, Average Loss  0.606574, Time  0.261457
2021-09-15 05:10:48.817992 : Epoch  7, Batch    435, Loss  0.608462, Average Loss  0.602698, Time  0.231154
2021-09-15 05:10:49.263732 : Epoch  2, Batch     40, Loss  0.857551, Average Loss  0.873639, Time  0.265153
2021-09-15 05:10:50.114022 : Epoch  6, Batch    286, Loss  0.608199, Average Loss  0.606529, Time  0.257064
2021-09-15 05:10:50.370776 : Epoch  7, Batch    436, Loss  0.605809, Average Loss  0.602716, Time  0.231250
2021-09-15 05:10:51.795933 : Epoch  6, Batch    287, Loss  0.603355, Average Loss  0.606480, Time  0.258895
2021-09-15 05:10:51.922197 : Epoch  7, Batch    437, Loss  0.596635, Average Loss  0.602691, Time  0.231380
2021-09-15 05:10:52.299148 : Epoch  2, Batch     41, Loss  0.861431, Average Loss  0.873472, Time  0.264302
2021-09-15 05:10:53.468604 : Epoch  7, Batch    438, Loss  0.600973, Average Loss  0.602657, Time  0.231027
2021-09-15 05:10:53.500381 : Epoch  6, Batch    288, Loss  0.601107, Average Loss  0.606433, Time  0.259709
2021-09-15 05:10:55.016155 : Epoch  7, Batch    439, Loss  0.603244, Average Loss  0.602647, Time  0.231223
2021-09-15 05:10:55.188032 : Epoch  6, Batch    289, Loss  0.598602, Average Loss  0.606359, Time  0.258405
2021-09-15 05:10:55.338210 : Epoch  2, Batch     42, Loss  0.890852, Average Loss  0.873640, Time  0.264818
2021-09-15 05:10:56.574417 : Epoch  7, Batch    440, Loss  0.608756, Average Loss  0.602641, Time  0.231598
2021-09-15 05:10:56.856421 : Epoch  6, Batch    290, Loss  0.607210, Average Loss  0.606348, Time  0.257042
2021-09-15 05:10:58.131781 : Epoch  7, Batch    441, Loss  0.603376, Average Loss  0.602661, Time  0.232756
2021-09-15 05:10:58.374833 : Epoch  2, Batch     43, Loss  0.867811, Average Loss  0.873596, Time  0.274822
2021-09-15 05:10:58.391007 : Epoch  6, Batch    291, Loss  0.587749, Average Loss  0.606292, Time  0.239950
2021-09-15 05:10:59.680863 : Epoch  7, Batch    442, Loss  0.601619, Average Loss  0.602646, Time  0.232092
2021-09-15 05:10:59.899341 : Epoch  6, Batch    292, Loss  0.602138, Average Loss  0.606276, Time  0.239952
2021-09-15 05:11:01.228390 : Epoch  7, Batch    443, Loss  0.599712, Average Loss  0.602630, Time  0.231329
2021-09-15 05:11:01.385123 : Epoch  2, Batch     44, Loss  0.868663, Average Loss  0.873600, Time  0.266850
2021-09-15 05:11:01.405818 : Epoch  6, Batch    293, Loss  0.602370, Average Loss  0.606194, Time  0.240124
2021-09-15 05:11:02.783279 : Epoch  7, Batch    444, Loss  0.605237, Average Loss  0.602649, Time  0.231935
2021-09-15 05:11:02.927902 : Epoch  6, Batch    294, Loss  0.597662, Average Loss  0.606129, Time  0.244066
2021-09-15 05:11:04.332776 : Epoch  7, Batch    445, Loss  0.602286, Average Loss  0.602698, Time  0.231438
2021-09-15 05:11:04.446422 : Epoch  6, Batch    295, Loss  0.602457, Average Loss  0.606120, Time  0.239687
2021-09-15 05:11:05.890621 : Epoch  7, Batch    446, Loss  0.599375, Average Loss  0.602691, Time  0.231479
2021-09-15 05:11:05.960769 : Epoch  6, Batch    296, Loss  0.605722, Average Loss  0.606130, Time  0.240987
2021-09-15 05:11:07.437740 : Epoch  7, Batch    447, Loss  0.600259, Average Loss  0.602726, Time  0.231215
2021-09-15 05:11:07.483307 : Epoch  6, Batch    297, Loss  0.609388, Average Loss  0.606107, Time  0.239257
2021-09-15 05:11:08.989694 : Epoch  7, Batch    448, Loss  0.614663, Average Loss  0.602792, Time  0.232670
2021-09-15 05:11:09.012613 : Epoch  6, Batch    298, Loss  0.611108, Average Loss  0.606066, Time  0.240080
2021-09-15 05:11:10.523020 : Epoch  6, Batch    299, Loss  0.601377, Average Loss  0.606023, Time  0.238387
2021-09-15 05:11:12.063878 : Epoch  6, Batch    300, Loss  0.609341, Average Loss  0.606051, Time  0.242575
2021-09-15 05:11:12.868399 : Epoch  7, Batch    449, Loss  0.603298, Average Loss  0.602760, Time  0.268973
2021-09-15 05:11:13.594767 : Epoch  6, Batch    301, Loss  0.599942, Average Loss  0.606010, Time  0.238496
2021-09-15 05:11:14.420111 : Epoch  7, Batch    450, Loss  0.605548, Average Loss  0.602788, Time  0.247444
2021-09-15 05:11:15.110935 : Epoch  6, Batch    302, Loss  0.612477, Average Loss  0.605979, Time  0.238536
2021-09-15 05:11:15.956563 : Epoch  7, Batch    451, Loss  0.603224, Average Loss  0.602768, Time  0.231099
2021-09-15 05:11:16.627354 : Epoch  6, Batch    303, Loss  0.600373, Average Loss  0.605957, Time  0.241101
2021-09-15 05:11:17.502388 : Epoch  7, Batch    452, Loss  0.602379, Average Loss  0.602721, Time  0.233159
2021-09-15 05:11:18.142030 : Epoch  6, Batch    304, Loss  0.598887, Average Loss  0.605913, Time  0.239702
2021-09-15 05:11:19.045387 : Epoch  7, Batch    453, Loss  0.604699, Average Loss  0.602720, Time  0.232923
2021-09-15 05:11:19.659924 : Epoch  6, Batch    305, Loss  0.606986, Average Loss  0.605921, Time  0.242908
2021-09-15 05:11:20.588893 : Epoch  7, Batch    454, Loss  0.605358, Average Loss  0.602773, Time  0.232553
2021-09-15 05:11:21.203849 : Epoch  6, Batch    306, Loss  0.618481, Average Loss  0.605994, Time  0.242197
2021-09-15 05:11:22.125780 : Epoch  7, Batch    455, Loss  0.604130, Average Loss  0.602799, Time  0.231032
2021-09-15 05:11:22.722919 : Epoch  6, Batch    307, Loss  0.616199, Average Loss  0.606089, Time  0.239965
2021-09-15 05:11:23.675242 : Epoch  7, Batch    456, Loss  0.597034, Average Loss  0.602815, Time  0.231432
2021-09-15 05:11:24.266325 : Epoch  6, Batch    308, Loss  0.601291, Average Loss  0.606101, Time  0.240234
2021-09-15 05:11:25.220563 : Epoch  7, Batch    457, Loss  0.601138, Average Loss  0.602771, Time  0.231367
2021-09-15 05:11:25.800372 : Epoch  6, Batch    309, Loss  0.600533, Average Loss  0.606029, Time  0.240216
2021-09-15 05:11:26.758402 : Epoch  7, Batch    458, Loss  0.604961, Average Loss  0.602783, Time  0.231240
2021-09-15 05:11:27.336999 : Epoch  6, Batch    310, Loss  0.599549, Average Loss  0.606015, Time  0.241720
2021-09-15 05:11:28.297974 : Epoch  7, Batch    459, Loss  0.599753, Average Loss  0.602698, Time  0.231671
2021-09-15 05:11:28.871901 : Epoch  6, Batch    311, Loss  0.602698, Average Loss  0.606018, Time  0.241050
2021-09-15 05:11:29.838920 : Epoch  7, Batch    460, Loss  0.598111, Average Loss  0.602623, Time  0.231421
2021-09-15 05:11:30.394877 : Epoch  6, Batch    312, Loss  0.591856, Average Loss  0.605923, Time  0.240238
2021-09-15 05:11:31.381809 : Epoch  7, Batch    461, Loss  0.610970, Average Loss  0.602619, Time  0.232991
2021-09-15 05:11:31.930179 : Epoch  6, Batch    313, Loss  0.608237, Average Loss  0.605954, Time  0.240445
2021-09-15 05:11:32.921598 : Epoch  7, Batch    462, Loss  0.605599, Average Loss  0.602698, Time  0.231466
2021-09-15 05:11:33.626985 : Epoch  6, Batch    314, Loss  0.616178, Average Loss  0.606001, Time  0.258462
2021-09-15 05:11:34.469156 : Epoch  7, Batch    463, Loss  0.604357, Average Loss  0.602662, Time  0.234853
2021-09-15 05:11:35.300333 : Epoch  6, Batch    315, Loss  0.598767, Average Loss  0.605877, Time  0.257583
2021-09-15 05:11:36.012407 : Epoch  7, Batch    464, Loss  0.617014, Average Loss  0.602749, Time  0.230991
2021-09-15 05:11:36.819804 : Epoch  6, Batch    316, Loss  0.602134, Average Loss  0.605856, Time  0.238172
2021-09-15 05:11:37.564018 : Epoch  7, Batch    465, Loss  0.580853, Average Loss  0.602654, Time  0.231532
2021-09-15 05:11:38.347993 : Epoch  6, Batch    317, Loss  0.603117, Average Loss  0.605799, Time  0.239681
2021-09-15 05:11:39.108148 : Epoch  7, Batch    466, Loss  0.592651, Average Loss  0.602558, Time  0.231092
2021-09-15 05:11:39.873864 : Epoch  6, Batch    318, Loss  0.615200, Average Loss  0.605838, Time  0.240211
2021-09-15 05:11:40.653997 : Epoch  7, Batch    467, Loss  0.595145, Average Loss  0.602504, Time  0.232743
2021-09-15 05:11:41.396168 : Epoch  6, Batch    319, Loss  0.615428, Average Loss  0.605856, Time  0.238442
2021-09-15 05:11:42.204846 : Epoch  7, Batch    468, Loss  0.611262, Average Loss  0.602485, Time  0.231643
2021-09-15 05:11:42.927192 : Epoch  6, Batch    320, Loss  0.592453, Average Loss  0.605771, Time  0.238992
2021-09-15 05:11:43.746359 : Epoch  7, Batch    469, Loss  0.598819, Average Loss  0.602463, Time  0.231420
2021-09-15 05:11:44.467160 : Epoch  6, Batch    321, Loss  0.610899, Average Loss  0.605811, Time  0.237867
2021-09-15 05:11:45.285364 : Epoch  7, Batch    470, Loss  0.600326, Average Loss  0.602478, Time  0.231545
2021-09-15 05:11:45.989379 : Epoch  6, Batch    322, Loss  0.603936, Average Loss  0.605796, Time  0.240676
2021-09-15 05:11:46.842564 : Epoch  7, Batch    471, Loss  0.600441, Average Loss  0.602503, Time  0.232548
2021-09-15 05:11:47.510113 : Epoch  6, Batch    323, Loss  0.609098, Average Loss  0.605809, Time  0.238479
2021-09-15 05:11:48.388790 : Epoch  7, Batch    472, Loss  0.602177, Average Loss  0.602546, Time  0.235433
2021-09-15 05:11:49.046040 : Epoch  6, Batch    324, Loss  0.600202, Average Loss  0.605756, Time  0.240746
2021-09-15 05:11:49.937086 : Epoch  7, Batch    473, Loss  0.610382, Average Loss  0.602561, Time  0.231529
2021-09-15 05:11:50.563573 : Epoch  6, Batch    325, Loss  0.608543, Average Loss  0.605815, Time  0.237930
2021-09-15 05:11:51.497411 : Epoch  7, Batch    474, Loss  0.604520, Average Loss  0.602525, Time  0.231784
2021-09-15 05:11:52.102466 : Epoch  6, Batch    326, Loss  0.614222, Average Loss  0.605902, Time  0.240458
2021-09-15 05:11:53.052998 : Epoch  7, Batch    475, Loss  0.606511, Average Loss  0.602511, Time  0.231881
2021-09-15 05:11:53.622993 : Epoch  6, Batch    327, Loss  0.608265, Average Loss  0.605910, Time  0.238033
2021-09-15 05:11:54.602585 : Epoch  7, Batch    476, Loss  0.590332, Average Loss  0.602426, Time  0.231766
2021-09-15 05:11:55.174406 : Epoch  6, Batch    328, Loss  0.603506, Average Loss  0.605887, Time  0.241338
2021-09-15 05:11:56.142949 : Epoch  7, Batch    477, Loss  0.608058, Average Loss  0.602457, Time  0.231361
2021-09-15 05:11:56.706819 : Epoch  6, Batch    329, Loss  0.594812, Average Loss  0.605815, Time  0.241222
2021-09-15 05:11:57.687741 : Epoch  7, Batch    478, Loss  0.612542, Average Loss  0.602584, Time  0.230970
2021-09-15 05:11:58.236381 : Epoch  6, Batch    330, Loss  0.604319, Average Loss  0.605815, Time  0.240821
2021-09-15 05:11:59.771822 : Epoch  6, Batch    331, Loss  0.590248, Average Loss  0.605700, Time  0.241136
2021-09-15 05:12:01.462922 : Epoch  6, Batch    332, Loss  0.604639, Average Loss  0.605742, Time  0.258465
2021-09-15 05:12:03.145148 : Epoch  6, Batch    333, Loss  0.603753, Average Loss  0.605737, Time  0.258839
2021-09-15 05:12:04.817375 : Epoch  6, Batch    334, Loss  0.611379, Average Loss  0.605727, Time  0.257269
2021-09-15 05:12:06.347574 : Epoch  6, Batch    335, Loss  0.591422, Average Loss  0.605631, Time  0.238692
2021-09-15 05:12:10.550871 : Epoch  6, Batch    336, Loss  0.605724, Average Loss  0.605626, Time  0.271507
2021-09-15 05:12:12.080396 : Epoch  6, Batch    337, Loss  0.602399, Average Loss  0.605584, Time  0.244493
2021-09-15 05:12:13.596797 : Epoch  6, Batch    338, Loss  0.617183, Average Loss  0.605679, Time  0.238837
2021-09-15 05:12:15.102367 : Epoch  6, Batch    339, Loss  0.603920, Average Loss  0.605692, Time  0.240742
2021-09-15 05:12:16.642827 : Epoch  6, Batch    340, Loss  0.608011, Average Loss  0.605694, Time  0.241580
2021-09-15 05:12:18.177413 : Epoch  6, Batch    341, Loss  0.613240, Average Loss  0.605746, Time  0.241435
2021-09-15 05:12:19.704992 : Epoch  6, Batch    342, Loss  0.598992, Average Loss  0.605715, Time  0.240908
2021-09-15 05:12:21.224351 : Epoch  6, Batch    343, Loss  0.609689, Average Loss  0.605711, Time  0.240252
2021-09-15 05:12:22.746366 : Epoch  6, Batch    344, Loss  0.619405, Average Loss  0.605834, Time  0.240021
2021-09-15 05:12:24.277349 : Epoch  6, Batch    345, Loss  0.597027, Average Loss  0.605787, Time  0.241413
2021-09-15 05:12:25.814422 : Epoch  6, Batch    346, Loss  0.599420, Average Loss  0.605791, Time  0.240077
2021-09-15 05:12:27.511890 : Epoch  6, Batch    347, Loss  0.599122, Average Loss  0.605708, Time  0.258279
2021-09-15 05:12:29.201022 : Epoch  6, Batch    348, Loss  0.598190, Average Loss  0.605670, Time  0.259228
2021-09-15 05:12:30.883898 : Epoch  6, Batch    349, Loss  0.595782, Average Loss  0.605635, Time  0.257424
2021-09-15 05:12:32.577871 : Epoch  6, Batch    350, Loss  0.612337, Average Loss  0.605738, Time  0.260539
2021-09-15 05:12:34.274470 : Epoch  6, Batch    351, Loss  0.601651, Average Loss  0.605759, Time  0.260897
2021-09-15 05:12:35.965254 : Epoch  6, Batch    352, Loss  0.602226, Average Loss  0.605751, Time  0.259005
2021-09-15 05:12:37.486998 : Epoch  6, Batch    353, Loss  0.596489, Average Loss  0.605733, Time  0.239043
2021-09-15 05:12:39.011958 : Epoch  6, Batch    354, Loss  0.601328, Average Loss  0.605718, Time  0.241045
2021-09-15 05:12:40.588042 : Epoch  6, Batch    355, Loss  0.597050, Average Loss  0.605644, Time  0.239122
2021-09-15 05:12:42.116435 : Epoch  6, Batch    356, Loss  0.602939, Average Loss  0.605694, Time  0.239461
2021-09-15 05:12:43.816461 : Epoch  6, Batch    357, Loss  0.596705, Average Loss  0.605607, Time  0.258234
2021-09-15 05:12:45.501435 : Epoch  6, Batch    358, Loss  0.610470, Average Loss  0.605645, Time  0.258320
2021-09-15 05:12:47.040357 : Epoch  6, Batch    359, Loss  0.594748, Average Loss  0.605607, Time  0.238433
2021-09-15 05:12:48.563381 : Epoch  6, Batch    360, Loss  0.603074, Average Loss  0.605534, Time  0.241644
2021-09-15 05:12:50.107436 : Epoch  6, Batch    361, Loss  0.600483, Average Loss  0.605535, Time  0.240913
2021-09-15 05:12:51.629880 : Epoch  6, Batch    362, Loss  0.610458, Average Loss  0.605558, Time  0.241672
2021-09-15 05:12:53.156487 : Epoch  6, Batch    363, Loss  0.610614, Average Loss  0.605559, Time  0.238748
2021-09-15 05:12:54.689388 : Epoch  6, Batch    364, Loss  0.604474, Average Loss  0.605564, Time  0.239533
2021-09-15 05:12:55.621731 : CheckPoint: Validation Loss  0.00024970, Best Loss  0.00024571
2021-09-15 05:12:56.211835 : Epoch  6, Batch    365, Loss  0.612914, Average Loss  0.605605, Time  0.242170
2021-09-15 05:12:57.176626 : Epoch  7, Batch    479, Loss  0.605798, Average Loss  0.602591, Time  0.232013
2021-09-15 05:12:58.726528 : Epoch  7, Batch    480, Loss  0.603222, Average Loss  0.602563, Time  0.231066
2021-09-15 05:13:00.269989 : Epoch  7, Batch    481, Loss  0.619132, Average Loss  0.602622, Time  0.231423
2021-09-15 05:13:01.819009 : Epoch  7, Batch    482, Loss  0.606090, Average Loss  0.602671, Time  0.231875
2021-09-15 05:13:03.368348 : Epoch  7, Batch    483, Loss  0.599961, Average Loss  0.602720, Time  0.230809
2021-09-15 05:13:04.943420 : Epoch  7, Batch    484, Loss  0.596634, Average Loss  0.602685, Time  0.231373
2021-09-15 05:13:06.509579 : Epoch  7, Batch    485, Loss  0.609459, Average Loss  0.602800, Time  0.250132
2021-09-15 05:13:08.060923 : Epoch  7, Batch    486, Loss  0.601988, Average Loss  0.602728, Time  0.231528
2021-09-15 05:13:09.619992 : Epoch  7, Batch    487, Loss  0.607140, Average Loss  0.602759, Time  0.231701
2021-09-15 05:13:11.173504 : Epoch  7, Batch    488, Loss  0.599816, Average Loss  0.602731, Time  0.231629
2021-09-15 05:13:12.736209 : Epoch  7, Batch    489, Loss  0.600373, Average Loss  0.602724, Time  0.232431
2021-09-15 05:13:14.293994 : Epoch  7, Batch    490, Loss  0.598094, Average Loss  0.602644, Time  0.231949
2021-09-15 05:13:15.847127 : Epoch  7, Batch    491, Loss  0.603013, Average Loss  0.602603, Time  0.231413
2021-09-15 05:13:17.405713 : Epoch  7, Batch    492, Loss  0.600936, Average Loss  0.602653, Time  0.232255
2021-09-15 05:13:18.962127 : Epoch  7, Batch    493, Loss  0.608269, Average Loss  0.602691, Time  0.232291
2021-09-15 05:13:20.511289 : Epoch  7, Batch    494, Loss  0.610414, Average Loss  0.602779, Time  0.231042
2021-09-15 05:13:22.066266 : Epoch  7, Batch    495, Loss  0.598597, Average Loss  0.602752, Time  0.231020
2021-09-15 05:13:23.617300 : Epoch  7, Batch    496, Loss  0.606059, Average Loss  0.602725, Time  0.231197
2021-09-15 05:13:25.167630 : Epoch  7, Batch    497, Loss  0.602714, Average Loss  0.602681, Time  0.230891
2021-09-15 05:13:26.718570 : Epoch  7, Batch    498, Loss  0.604388, Average Loss  0.602673, Time  0.232182
2021-09-15 05:13:28.262537 : Epoch  7, Batch    499, Loss  0.602028, Average Loss  0.602672, Time  0.231167
2021-09-15 05:13:29.808348 : Epoch  7, Batch    500, Loss  0.607151, Average Loss  0.602719, Time  0.231608
2021-09-15 05:13:31.353405 : Epoch  7, Batch    501, Loss  0.595377, Average Loss  0.602761, Time  0.230978
2021-09-15 05:13:32.904162 : Epoch  7, Batch    502, Loss  0.598285, Average Loss  0.602760, Time  0.231364
2021-09-15 05:13:34.458752 : Epoch  7, Batch    503, Loss  0.594763, Average Loss  0.602740, Time  0.231466
2021-09-15 05:13:36.012874 : Epoch  7, Batch    504, Loss  0.615830, Average Loss  0.602788, Time  0.232080
2021-09-15 05:13:37.563387 : Epoch  7, Batch    505, Loss  0.602830, Average Loss  0.602734, Time  0.231336
2021-09-15 05:13:39.114437 : Epoch  7, Batch    506, Loss  0.596330, Average Loss  0.602691, Time  0.232617
2021-09-15 05:13:40.666730 : Epoch  7, Batch    507, Loss  0.595522, Average Loss  0.602691, Time  0.231463
2021-09-15 05:13:42.211999 : Epoch  7, Batch    508, Loss  0.612400, Average Loss  0.602752, Time  0.232267
2021-09-15 05:13:43.760369 : Epoch  7, Batch    509, Loss  0.604272, Average Loss  0.602769, Time  0.232964
2021-09-15 05:13:45.311377 : Epoch  7, Batch    510, Loss  0.599986, Average Loss  0.602772, Time  0.231368
2021-09-15 05:13:46.858838 : Epoch  7, Batch    511, Loss  0.595017, Average Loss  0.602715, Time  0.231317
2021-09-15 05:13:48.427518 : Epoch  7, Batch    512, Loss  0.592066, Average Loss  0.602718, Time  0.231004
2021-09-15 05:13:49.974139 : Epoch  7, Batch    513, Loss  0.609225, Average Loss  0.602722, Time  0.231606
2021-09-15 05:13:51.519379 : Epoch  7, Batch    514, Loss  0.598250, Average Loss  0.602773, Time  0.231396
2021-09-15 05:13:53.068246 : Epoch  7, Batch    515, Loss  0.601413, Average Loss  0.602750, Time  0.231574
2021-09-15 05:13:53.118746 : CheckPoint: Validation Loss  0.00025001, Best Loss  0.00024341
2021-09-15 05:13:54.610558 : Epoch  7, Batch    516, Loss  0.601995, Average Loss  0.602810, Time  0.231337
2021-09-15 05:13:54.643948 : Epoch  6, Batch    366, Loss  0.602330, Average Loss  0.605570, Time  0.238743
2021-09-15 05:13:56.153005 : Epoch  7, Batch    517, Loss  0.609291, Average Loss  0.602852, Time  0.232531
2021-09-15 05:13:56.153388 : Epoch  6, Batch    367, Loss  0.604119, Average Loss  0.605515, Time  0.238409
2021-09-15 05:13:57.723142 : Epoch  7, Batch    518, Loss  0.607556, Average Loss  0.602914, Time  0.231150
2021-09-15 05:13:57.856055 : Epoch  6, Batch    368, Loss  0.609901, Average Loss  0.605450, Time  0.258030
2021-09-15 05:13:59.269003 : Epoch  7, Batch    519, Loss  0.598117, Average Loss  0.602844, Time  0.231369
2021-09-15 05:13:59.547000 : Epoch  6, Batch    369, Loss  0.597514, Average Loss  0.605399, Time  0.258787
2021-09-15 05:14:00.810606 : Epoch  7, Batch    520, Loss  0.600231, Average Loss  0.602799, Time  0.232132
2021-09-15 05:14:01.203963 : Epoch  6, Batch    370, Loss  0.611324, Average Loss  0.605417, Time  0.241925
2021-09-15 05:14:02.369949 : Epoch  7, Batch    521, Loss  0.596933, Average Loss  0.602833, Time  0.233494
2021-09-15 05:14:02.719996 : Epoch  6, Batch    371, Loss  0.601124, Average Loss  0.605413, Time  0.240634
2021-09-15 05:14:03.925418 : Epoch  7, Batch    522, Loss  0.604730, Average Loss  0.602841, Time  0.231661
2021-09-15 05:14:04.245949 : Epoch  6, Batch    372, Loss  0.611161, Average Loss  0.605392, Time  0.241383
2021-09-15 05:14:05.477616 : Epoch  7, Batch    523, Loss  0.596826, Average Loss  0.602814, Time  0.231177
2021-09-15 05:14:05.772303 : Epoch  6, Batch    373, Loss  0.605531, Average Loss  0.605382, Time  0.239871
2021-09-15 05:14:07.027364 : Epoch  7, Batch    524, Loss  0.611693, Average Loss  0.602875, Time  0.231177
2021-09-15 05:14:07.288776 : Epoch  6, Batch    374, Loss  0.604154, Average Loss  0.605318, Time  0.238646
2021-09-15 05:14:08.578087 : Epoch  7, Batch    525, Loss  0.601923, Average Loss  0.602838, Time  0.231483
2021-09-15 05:14:08.798397 : Epoch  6, Batch    375, Loss  0.586102, Average Loss  0.605250, Time  0.238947
2021-09-15 05:14:10.118656 : Epoch  7, Batch    526, Loss  0.594171, Average Loss  0.602765, Time  0.231154
2021-09-15 05:14:10.333366 : Epoch  6, Batch    376, Loss  0.598603, Average Loss  0.605207, Time  0.242214
2021-09-15 05:14:11.675305 : Epoch  7, Batch    527, Loss  0.607860, Average Loss  0.602817, Time  0.231474
2021-09-15 05:14:11.868016 : Epoch  6, Batch    377, Loss  0.601033, Average Loss  0.605218, Time  0.240953
2021-09-15 05:14:13.228337 : Epoch  7, Batch    528, Loss  0.597264, Average Loss  0.602864, Time  0.232622
2021-09-15 05:14:13.383805 : Epoch  6, Batch    378, Loss  0.601192, Average Loss  0.605231, Time  0.239180
2021-09-15 05:14:14.776393 : Epoch  7, Batch    529, Loss  0.608572, Average Loss  0.602948, Time  0.231081
2021-09-15 05:14:14.900359 : Epoch  6, Batch    379, Loss  0.610407, Average Loss  0.605271, Time  0.238881
2021-09-15 05:14:16.342112 : Epoch  7, Batch    530, Loss  0.614846, Average Loss  0.602975, Time  0.232308
2021-09-15 05:14:16.414769 : Epoch  6, Batch    380, Loss  0.608201, Average Loss  0.605316, Time  0.238335
2021-09-15 05:14:17.892379 : Epoch  7, Batch    531, Loss  0.595848, Average Loss  0.602916, Time  0.230915
2021-09-15 05:14:17.950455 : Epoch  6, Batch    381, Loss  0.597421, Average Loss  0.605299, Time  0.239485
2021-09-15 05:14:19.444087 : Epoch  7, Batch    532, Loss  0.599638, Average Loss  0.602876, Time  0.231585
2021-09-15 05:14:19.481991 : Epoch  6, Batch    382, Loss  0.595372, Average Loss  0.605215, Time  0.239589
2021-09-15 05:14:20.995679 : Epoch  7, Batch    533, Loss  0.604519, Average Loss  0.602826, Time  0.231350
2021-09-15 05:14:21.030404 : Epoch  6, Batch    383, Loss  0.591000, Average Loss  0.605092, Time  0.239069
2021-09-15 05:14:22.542249 : Epoch  7, Batch    534, Loss  0.603359, Average Loss  0.602798, Time  0.231570
2021-09-15 05:14:22.576853 : Epoch  6, Batch    384, Loss  0.615062, Average Loss  0.605145, Time  0.240708
2021-09-15 05:14:24.090807 : Epoch  6, Batch    385, Loss  0.594765, Average Loss  0.605126, Time  0.238273
2021-09-15 05:14:24.091421 : Epoch  7, Batch    535, Loss  0.596451, Average Loss  0.602782, Time  0.231503
2021-09-15 05:14:25.683983 : Epoch  7, Batch    536, Loss  0.601471, Average Loss  0.602738, Time  0.234586
2021-09-15 05:14:25.782861 : Epoch  6, Batch    386, Loss  0.609251, Average Loss  0.605116, Time  0.258674
2021-09-15 05:14:27.238256 : Epoch  7, Batch    537, Loss  0.603133, Average Loss  0.602781, Time  0.231945
2021-09-15 05:14:27.301368 : Epoch  6, Batch    387, Loss  0.607726, Average Loss  0.605174, Time  0.239208
2021-09-15 05:14:28.787387 : Epoch  7, Batch    538, Loss  0.602427, Average Loss  0.602769, Time  0.231908
2021-09-15 05:14:28.823860 : Epoch  6, Batch    388, Loss  0.600722, Average Loss  0.605118, Time  0.238712
2021-09-15 05:14:30.336632 : Epoch  7, Batch    539, Loss  0.614551, Average Loss  0.602862, Time  0.232197
2021-09-15 05:14:30.508569 : Epoch  6, Batch    389, Loss  0.604791, Average Loss  0.605137, Time  0.257735
2021-09-15 05:14:31.880884 : Epoch  7, Batch    540, Loss  0.602320, Average Loss  0.602833, Time  0.231371
2021-09-15 05:14:32.190251 : Epoch  6, Batch    390, Loss  0.597688, Average Loss  0.605064, Time  0.259835
2021-09-15 05:14:33.445826 : Epoch  7, Batch    541, Loss  0.603294, Average Loss  0.602850, Time  0.231981
2021-09-15 05:14:33.856178 : Epoch  6, Batch    391, Loss  0.610982, Average Loss  0.605044, Time  0.260191
2021-09-15 05:14:34.998317 : Epoch  7, Batch    542, Loss  0.604886, Average Loss  0.602825, Time  0.231594
2021-09-15 05:14:35.519408 : Epoch  6, Batch    392, Loss  0.592234, Average Loss  0.604955, Time  0.257022
2021-09-15 05:14:36.556342 : Epoch  7, Batch    543, Loss  0.594200, Average Loss  0.602812, Time  0.231433
2021-09-15 05:14:37.220995 : Epoch  6, Batch    393, Loss  0.600113, Average Loss  0.604904, Time  0.260796
2021-09-15 05:14:38.108396 : Epoch  7, Batch    544, Loss  0.605509, Average Loss  0.602877, Time  0.231381
2021-09-15 05:14:38.905933 : Epoch  6, Batch    394, Loss  0.611585, Average Loss  0.604940, Time  0.259851
2021-09-15 05:14:39.668543 : Epoch  7, Batch    545, Loss  0.606039, Average Loss  0.602922, Time  0.231204
2021-09-15 05:14:40.573914 : Epoch  6, Batch    395, Loss  0.609422, Average Loss  0.604999, Time  0.256498
2021-09-15 05:14:41.220131 : Epoch  7, Batch    546, Loss  0.594003, Average Loss  0.602926, Time  0.231331
2021-09-15 05:14:42.245907 : Epoch  6, Batch    396, Loss  0.612689, Average Loss  0.605079, Time  0.257251
2021-09-15 05:14:42.772727 : Epoch  7, Batch    547, Loss  0.604541, Average Loss  0.602889, Time  0.247690
2021-09-15 05:14:43.916497 : Epoch  6, Batch    397, Loss  0.600705, Average Loss  0.605148, Time  0.259273
2021-09-15 05:14:44.324617 : Epoch  7, Batch    548, Loss  0.601032, Average Loss  0.602856, Time  0.231431
2021-09-15 05:14:45.611952 : Epoch  6, Batch    398, Loss  0.600475, Average Loss  0.605123, Time  0.262412
2021-09-15 05:14:47.295056 : Epoch  6, Batch    399, Loss  0.603798, Average Loss  0.605076, Time  0.260146
2021-09-15 05:14:48.194366 : Epoch  7, Batch    549, Loss  0.593041, Average Loss  0.602758, Time  0.262609
2021-09-15 05:14:48.846859 : Epoch  6, Batch    400, Loss  0.602027, Average Loss  0.605062, Time  0.239729
2021-09-15 05:14:49.741115 : Epoch  7, Batch    550, Loss  0.607359, Average Loss  0.602766, Time  0.238518
2021-09-15 05:14:50.371895 : Epoch  6, Batch    401, Loss  0.614391, Average Loss  0.605059, Time  0.239715
2021-09-15 05:14:51.305378 : Epoch  7, Batch    551, Loss  0.618152, Average Loss  0.602891, Time  0.231138
2021-09-15 05:14:52.048273 : Epoch  6, Batch    402, Loss  0.585697, Average Loss  0.604903, Time  0.260147
2021-09-15 05:14:52.850427 : Epoch  7, Batch    552, Loss  0.603453, Average Loss  0.602919, Time  0.232859
2021-09-15 05:14:53.576401 : Epoch  6, Batch    403, Loss  0.605184, Average Loss  0.604899, Time  0.240682
2021-09-15 05:14:54.396029 : Epoch  7, Batch    553, Loss  0.595825, Average Loss  0.602916, Time  0.231611
2021-09-15 05:14:55.117321 : Epoch  6, Batch    404, Loss  0.605780, Average Loss  0.604893, Time  0.240821
2021-09-15 05:14:55.941793 : Epoch  7, Batch    554, Loss  0.603816, Average Loss  0.602969, Time  0.231518
2021-09-15 05:14:56.644394 : Epoch  6, Batch    405, Loss  0.614214, Average Loss  0.604919, Time  0.238468
2021-09-15 05:14:57.479485 : Epoch  7, Batch    555, Loss  0.607571, Average Loss  0.602998, Time  0.231622
2021-09-15 05:14:58.173135 : Epoch  6, Batch    406, Loss  0.595858, Average Loss  0.604893, Time  0.238237
2021-09-15 05:14:59.031075 : Epoch  7, Batch    556, Loss  0.592919, Average Loss  0.602996, Time  0.231538
2021-09-15 05:14:59.701437 : Epoch  6, Batch    407, Loss  0.611251, Average Loss  0.604910, Time  0.241334
2021-09-15 05:15:00.574162 : Epoch  7, Batch    557, Loss  0.599039, Average Loss  0.602981, Time  0.231190
2021-09-15 05:15:01.247002 : Epoch  6, Batch    408, Loss  0.597599, Average Loss  0.604828, Time  0.241007
2021-09-15 05:15:02.167393 : Epoch  7, Batch    558, Loss  0.607855, Average Loss  0.603023, Time  0.232075
2021-09-15 05:15:02.841400 : Epoch  6, Batch    409, Loss  0.611135, Average Loss  0.604792, Time  0.238051
2021-09-15 05:15:03.738897 : Epoch  7, Batch    559, Loss  0.601985, Average Loss  0.603003, Time  0.252069
2021-09-15 05:15:04.366410 : Epoch  6, Batch    410, Loss  0.597849, Average Loss  0.604793, Time  0.238484
2021-09-15 05:15:05.293025 : Epoch  7, Batch    560, Loss  0.596686, Average Loss  0.602945, Time  0.233554
2021-09-15 05:15:05.898393 : Epoch  6, Batch    411, Loss  0.609230, Average Loss  0.604776, Time  0.240721
2021-09-15 05:15:06.838007 : Epoch  7, Batch    561, Loss  0.602667, Average Loss  0.602980, Time  0.232288
2021-09-15 05:15:07.430900 : Epoch  6, Batch    412, Loss  0.601406, Average Loss  0.604776, Time  0.241996
2021-09-15 05:15:08.387325 : Epoch  7, Batch    562, Loss  0.596243, Average Loss  0.602908, Time  0.233929
2021-09-15 05:15:08.952066 : Epoch  6, Batch    413, Loss  0.612420, Average Loss  0.604872, Time  0.238206
2021-09-15 05:15:09.931013 : Epoch  7, Batch    563, Loss  0.615249, Average Loss  0.602972, Time  0.231352
2021-09-15 05:15:10.488031 : Epoch  6, Batch    414, Loss  0.601202, Average Loss  0.604849, Time  0.238601
2021-09-15 05:15:11.480906 : Epoch  7, Batch    564, Loss  0.597051, Average Loss  0.602908, Time  0.231274
2021-09-15 05:15:12.042264 : Epoch  6, Batch    415, Loss  0.596607, Average Loss  0.604828, Time  0.240081
2021-09-15 05:15:13.042140 : Epoch  7, Batch    565, Loss  0.607197, Average Loss  0.602853, Time  0.231318
2021-09-15 05:15:13.564910 : Epoch  6, Batch    416, Loss  0.602515, Average Loss  0.604838, Time  0.237817
2021-09-15 05:15:14.586903 : Epoch  7, Batch    566, Loss  0.607355, Average Loss  0.602920, Time  0.231325
2021-09-15 05:15:15.101380 : Epoch  6, Batch    417, Loss  0.607390, Average Loss  0.604784, Time  0.241817
2021-09-15 05:15:16.133991 : Epoch  7, Batch    567, Loss  0.594040, Average Loss  0.602901, Time  0.231963
2021-09-15 05:15:16.627965 : Epoch  6, Batch    418, Loss  0.608978, Average Loss  0.604748, Time  0.242192
2021-09-15 05:15:17.680358 : Epoch  7, Batch    568, Loss  0.602364, Average Loss  0.602812, Time  0.231552
2021-09-15 05:15:18.137686 : Epoch  6, Batch    419, Loss  0.602419, Average Loss  0.604722, Time  0.238643
2021-09-15 05:15:19.235989 : Epoch  7, Batch    569, Loss  0.608053, Average Loss  0.602851, Time  0.231485
2021-09-15 05:15:19.675227 : Epoch  6, Batch    420, Loss  0.611445, Average Loss  0.604697, Time  0.238809
2021-09-15 05:15:20.793160 : Epoch  7, Batch    570, Loss  0.605154, Average Loss  0.602869, Time  0.231780
2021-09-15 05:15:21.366505 : Epoch  6, Batch    421, Loss  0.601575, Average Loss  0.604664, Time  0.258652
2021-09-15 05:15:22.347904 : Epoch  7, Batch    571, Loss  0.611290, Average Loss  0.602928, Time  0.231713
2021-09-15 05:15:23.045920 : Epoch  6, Batch    422, Loss  0.592194, Average Loss  0.604657, Time  0.259151
2021-09-15 05:15:23.896424 : Epoch  7, Batch    572, Loss  0.595944, Average Loss  0.602930, Time  0.232109
2021-09-15 05:15:24.723127 : Epoch  6, Batch    423, Loss  0.616741, Average Loss  0.604748, Time  0.260003
2021-09-15 05:15:25.441088 : Epoch  7, Batch    573, Loss  0.604454, Average Loss  0.602944, Time  0.231399
2021-09-15 05:15:26.404864 : Epoch  6, Batch    424, Loss  0.608566, Average Loss  0.604805, Time  0.258914
2021-09-15 05:15:26.987451 : Epoch  7, Batch    574, Loss  0.615132, Average Loss  0.603003, Time  0.231462
2021-09-15 05:15:28.103184 : Epoch  6, Batch    425, Loss  0.605884, Average Loss  0.604772, Time  0.258920
2021-09-15 05:15:28.555578 : Epoch  7, Batch    575, Loss  0.602419, Average Loss  0.602957, Time  0.231846
2021-09-15 05:15:29.663898 : Epoch  6, Batch    426, Loss  0.606625, Average Loss  0.604755, Time  0.241554
2021-09-15 05:15:30.098397 : Epoch  7, Batch    576, Loss  0.596960, Average Loss  0.602976, Time  0.231163
2021-09-15 05:15:31.343962 : Epoch  6, Batch    427, Loss  0.593869, Average Loss  0.604669, Time  0.261072
2021-09-15 05:15:31.647872 : Epoch  7, Batch    577, Loss  0.594920, Average Loss  0.602913, Time  0.231475
2021-09-15 05:15:33.025729 : Epoch  6, Batch    428, Loss  0.608164, Average Loss  0.604686, Time  0.256667
2021-09-15 05:15:33.189552 : Epoch  7, Batch    578, Loss  0.602492, Average Loss  0.602945, Time  0.231304
2021-09-15 05:15:34.711863 : Epoch  6, Batch    429, Loss  0.611288, Average Loss  0.604719, Time  0.261112
2021-09-15 05:15:36.397891 : Epoch  6, Batch    430, Loss  0.613235, Average Loss  0.604681, Time  0.260166
2021-09-15 05:15:37.934006 : Epoch  6, Batch    431, Loss  0.599104, Average Loss  0.604668, Time  0.242113
2021-09-15 05:15:39.467027 : Epoch  6, Batch    432, Loss  0.596609, Average Loss  0.604571, Time  0.239704
2021-09-15 05:15:40.981513 : Epoch  6, Batch    433, Loss  0.603487, Average Loss  0.604615, Time  0.239000
2021-09-15 05:15:41.855452 : CheckPoint: Validation Loss  0.00029626, Best Loss  0.00029626
2021-09-15 05:15:41.885078 : Best Model Updated
2021-09-15 05:15:42.518449 : Epoch  6, Batch    434, Loss  0.610937, Average Loss  0.604575, Time  0.240253
2021-09-15 05:15:44.091410 : Epoch  6, Batch    435, Loss  0.603553, Average Loss  0.604526, Time  0.240818
2021-09-15 05:15:45.704593 : Epoch  2, Batch     45, Loss  0.859944, Average Loss  0.873486, Time  0.269504
2021-09-15 05:15:48.034347 : Epoch  6, Batch    436, Loss  0.608642, Average Loss  0.604542, Time  0.270320
2021-09-15 05:15:48.761196 : Epoch  2, Batch     46, Loss  0.903818, Average Loss  0.873524, Time  0.266042
2021-09-15 05:15:49.565091 : Epoch  6, Batch    437, Loss  0.598334, Average Loss  0.604491, Time  0.244805
2021-09-15 05:15:51.082276 : Epoch  6, Batch    438, Loss  0.607947, Average Loss  0.604481, Time  0.238270
2021-09-15 05:15:51.753381 : Epoch  2, Batch     47, Loss  0.889394, Average Loss  0.873738, Time  0.265593
2021-09-15 05:15:52.750220 : Epoch  6, Batch    439, Loss  0.605192, Average Loss  0.604469, Time  0.257163
2021-09-15 05:15:54.280650 : Epoch  6, Batch    440, Loss  0.610288, Average Loss  0.604504, Time  0.240320
2021-09-15 05:15:54.763446 : Epoch  2, Batch     48, Loss  0.886923, Average Loss  0.873878, Time  0.268262
2021-09-15 05:15:55.826064 : Epoch  6, Batch    441, Loss  0.610836, Average Loss  0.604597, Time  0.241325
2021-09-15 05:15:57.348593 : Epoch  6, Batch    442, Loss  0.598496, Average Loss  0.604531, Time  0.240465
2021-09-15 05:15:57.740858 : Epoch  2, Batch     49, Loss  0.852854, Average Loss  0.873871, Time  0.265660
2021-09-15 05:15:58.870359 : Epoch  6, Batch    443, Loss  0.602275, Average Loss  0.604520, Time  0.240592
2021-09-15 05:16:00.403811 : Epoch  6, Batch    444, Loss  0.600038, Average Loss  0.604509, Time  0.243953
2021-09-15 05:16:00.779383 : Epoch  2, Batch     50, Loss  0.866380, Average Loss  0.873789, Time  0.265396
2021-09-15 05:16:01.939090 : Epoch  6, Batch    445, Loss  0.603127, Average Loss  0.604509, Time  0.242148
2021-09-15 05:16:03.457805 : Epoch  6, Batch    446, Loss  0.603565, Average Loss  0.604490, Time  0.238204
2021-09-15 05:16:03.806931 : Epoch  2, Batch     51, Loss  0.868301, Average Loss  0.873711, Time  0.265741
2021-09-15 05:16:05.131885 : Epoch  6, Batch    447, Loss  0.599474, Average Loss  0.604494, Time  0.257298
2021-09-15 05:16:06.665086 : Epoch  6, Batch    448, Loss  0.593866, Average Loss  0.604480, Time  0.239985
2021-09-15 05:16:06.795191 : Epoch  2, Batch     52, Loss  0.857237, Average Loss  0.873657, Time  0.265291
2021-09-15 05:16:08.193452 : Epoch  6, Batch    449, Loss  0.592924, Average Loss  0.604372, Time  0.239695
2021-09-15 05:16:09.703910 : Epoch  6, Batch    450, Loss  0.602435, Average Loss  0.604337, Time  0.238502
2021-09-15 05:16:09.784573 : Epoch  2, Batch     53, Loss  0.866385, Average Loss  0.873664, Time  0.264456
2021-09-15 05:16:11.223699 : Epoch  6, Batch    451, Loss  0.604003, Average Loss  0.604279, Time  0.238869
2021-09-15 05:16:12.745236 : Epoch  6, Batch    452, Loss  0.613300, Average Loss  0.604311, Time  0.241210
2021-09-15 05:16:12.796277 : Epoch  2, Batch     54, Loss  0.870246, Average Loss  0.873743, Time  0.265715
2021-09-15 05:16:14.273356 : Epoch  6, Batch    453, Loss  0.625992, Average Loss  0.604400, Time  0.238843
2021-09-15 05:16:15.790241 : Epoch  2, Batch     55, Loss  0.878832, Average Loss  0.873824, Time  0.264196
2021-09-15 05:16:15.793936 : Epoch  6, Batch    454, Loss  0.598844, Average Loss  0.604369, Time  0.238483
2021-09-15 05:16:17.330822 : Epoch  6, Batch    455, Loss  0.602242, Average Loss  0.604383, Time  0.240088
2021-09-15 05:16:18.760487 : Epoch  2, Batch     56, Loss  0.878217, Average Loss  0.873694, Time  0.265105
2021-09-15 05:16:18.861817 : Epoch  6, Batch    456, Loss  0.605484, Average Loss  0.604328, Time  0.239919
2021-09-15 05:16:20.394883 : Epoch  6, Batch    457, Loss  0.602383, Average Loss  0.604332, Time  0.241600
2021-09-15 05:16:21.757385 : Epoch  2, Batch     57, Loss  0.890031, Average Loss  0.873727, Time  0.274181
2021-09-15 05:16:21.918208 : Epoch  6, Batch    458, Loss  0.601717, Average Loss  0.604281, Time  0.237986
2021-09-15 05:16:23.432161 : Epoch  6, Batch    459, Loss  0.612042, Average Loss  0.604382, Time  0.239348
2021-09-15 05:16:24.751232 : Epoch  2, Batch     58, Loss  0.851360, Average Loss  0.873614, Time  0.264578
2021-09-15 05:16:25.118445 : Epoch  6, Batch    460, Loss  0.605002, Average Loss  0.604321, Time  0.259897
2021-09-15 05:16:26.797914 : Epoch  6, Batch    461, Loss  0.592521, Average Loss  0.604286, Time  0.258708
2021-09-15 05:16:27.790428 : Epoch  2, Batch     59, Loss  0.874714, Average Loss  0.873649, Time  0.266608
2021-09-15 05:16:28.472391 : Epoch  6, Batch    462, Loss  0.600940, Average Loss  0.604293, Time  0.258807
2021-09-15 05:16:30.147787 : Epoch  6, Batch    463, Loss  0.605572, Average Loss  0.604293, Time  0.259099
2021-09-15 05:16:30.830019 : Epoch  2, Batch     60, Loss  0.879565, Average Loss  0.873578, Time  0.265749
2021-09-15 05:16:30.993732 : CheckPoint: Validation Loss  0.00025300, Best Loss  0.00024571
2021-09-15 05:16:31.837029 : Epoch  6, Batch    464, Loss  0.606333, Average Loss  0.604234, Time  0.259208
2021-09-15 05:16:32.546873 : Epoch  7, Batch    579, Loss  0.604410, Average Loss  0.602880, Time  0.232878
2021-09-15 05:16:33.376070 : Epoch  6, Batch    465, Loss  0.608486, Average Loss  0.604265, Time  0.241645
2021-09-15 05:16:33.824747 : Epoch  2, Batch     61, Loss  0.876393, Average Loss  0.873514, Time  0.264753
2021-09-15 05:16:34.094862 : Epoch  7, Batch    580, Loss  0.606083, Average Loss  0.602931, Time  0.232059
2021-09-15 05:16:35.640032 : Epoch  7, Batch    581, Loss  0.605051, Average Loss  0.602967, Time  0.231066
2021-09-15 05:16:36.810335 : Epoch  2, Batch     62, Loss  0.882045, Average Loss  0.873461, Time  0.266390
2021-09-15 05:16:37.188319 : Epoch  7, Batch    582, Loss  0.607085, Average Loss  0.602949, Time  0.230974
2021-09-15 05:16:38.739308 : Epoch  7, Batch    583, Loss  0.601121, Average Loss  0.602946, Time  0.231529
2021-09-15 05:16:39.830353 : Epoch  2, Batch     63, Loss  0.866105, Average Loss  0.873371, Time  0.264607
2021-09-15 05:16:40.282598 : Epoch  7, Batch    584, Loss  0.606654, Average Loss  0.602948, Time  0.231170
2021-09-15 05:16:41.830645 : Epoch  7, Batch    585, Loss  0.596050, Average Loss  0.602878, Time  0.232171
2021-09-15 05:16:42.841309 : Epoch  2, Batch     64, Loss  0.883523, Average Loss  0.873242, Time  0.265981
2021-09-15 05:16:43.379860 : Epoch  7, Batch    586, Loss  0.612031, Average Loss  0.602874, Time  0.231617
2021-09-15 05:16:44.926383 : Epoch  7, Batch    587, Loss  0.613552, Average Loss  0.602904, Time  0.230809
2021-09-15 05:16:45.856230 : Epoch  2, Batch     65, Loss  0.844499, Average Loss  0.873077, Time  0.264924
2021-09-15 05:16:46.484437 : Epoch  7, Batch    588, Loss  0.608182, Average Loss  0.602958, Time  0.232350
2021-09-15 05:16:48.033008 : Epoch  7, Batch    589, Loss  0.601186, Average Loss  0.602945, Time  0.231423
2021-09-15 05:16:48.848133 : Epoch  2, Batch     66, Loss  0.881600, Average Loss  0.873222, Time  0.265821
2021-09-15 05:16:49.584052 : Epoch  7, Batch    590, Loss  0.597735, Average Loss  0.602969, Time  0.231283
2021-09-15 05:16:51.164370 : Epoch  7, Batch    591, Loss  0.606948, Average Loss  0.602957, Time  0.231334
2021-09-15 05:16:51.835392 : Epoch  2, Batch     67, Loss  0.876385, Average Loss  0.873220, Time  0.264576
2021-09-15 05:16:52.707340 : Epoch  7, Batch    592, Loss  0.604598, Average Loss  0.602984, Time  0.230916
2021-09-15 05:16:54.248909 : Epoch  7, Batch    593, Loss  0.603502, Average Loss  0.603021, Time  0.232342
2021-09-15 05:16:54.825140 : Epoch  2, Batch     68, Loss  0.875673, Average Loss  0.873178, Time  0.265280
2021-09-15 05:16:55.798641 : Epoch  7, Batch    594, Loss  0.609443, Average Loss  0.603069, Time  0.231592
2021-09-15 05:16:57.348205 : Epoch  7, Batch    595, Loss  0.592648, Average Loss  0.602986, Time  0.231444
2021-09-15 05:16:57.828970 : Epoch  2, Batch     69, Loss  0.876812, Average Loss  0.873339, Time  0.266085
2021-09-15 05:16:58.899112 : Epoch  7, Batch    596, Loss  0.599490, Average Loss  0.602991, Time  0.231503
2021-09-15 05:17:00.452340 : Epoch  7, Batch    597, Loss  0.593493, Average Loss  0.602946, Time  0.231111
2021-09-15 05:17:00.840706 : Epoch  2, Batch     70, Loss  0.864907, Average Loss  0.873208, Time  0.265229
2021-09-15 05:17:01.998479 : Epoch  7, Batch    598, Loss  0.595480, Average Loss  0.602877, Time  0.231088
2021-09-15 05:17:03.547986 : Epoch  7, Batch    599, Loss  0.595815, Average Loss  0.602878, Time  0.230849
2021-09-15 05:17:03.916548 : Epoch  2, Batch     71, Loss  0.867175, Average Loss  0.873184, Time  0.266310
2021-09-15 05:17:05.100075 : Epoch  7, Batch    600, Loss  0.615061, Average Loss  0.602935, Time  0.231273
2021-09-15 05:17:06.653696 : Epoch  7, Batch    601, Loss  0.601156, Average Loss  0.602947, Time  0.231250
2021-09-15 05:17:06.998621 : Epoch  2, Batch     72, Loss  0.876375, Average Loss  0.873176, Time  0.276555
2021-09-15 05:17:08.199405 : Epoch  7, Batch    602, Loss  0.615708, Average Loss  0.603057, Time  0.231641
2021-09-15 05:17:09.748036 : Epoch  7, Batch    603, Loss  0.606919, Average Loss  0.603118, Time  0.231139
2021-09-15 05:17:10.029713 : Epoch  2, Batch     73, Loss  0.868859, Average Loss  0.873250, Time  0.265949
2021-09-15 05:17:11.300066 : Epoch  7, Batch    604, Loss  0.604646, Average Loss  0.603130, Time  0.231894
2021-09-15 05:17:12.860080 : Epoch  7, Batch    605, Loss  0.601392, Average Loss  0.603105, Time  0.232011
2021-09-15 05:17:13.053490 : Epoch  2, Batch     74, Loss  0.872644, Average Loss  0.873204, Time  0.265190
2021-09-15 05:17:14.404005 : Epoch  7, Batch    606, Loss  0.595398, Average Loss  0.603010, Time  0.231303
2021-09-15 05:17:15.944774 : Epoch  7, Batch    607, Loss  0.609507, Average Loss  0.603042, Time  0.232307
2021-09-15 05:17:16.078723 : Epoch  2, Batch     75, Loss  0.877969, Average Loss  0.873235, Time  0.265111
2021-09-15 05:17:17.490644 : Epoch  7, Batch    608, Loss  0.608714, Average Loss  0.603047, Time  0.231099
2021-09-15 05:17:19.042781 : Epoch  7, Batch    609, Loss  0.625464, Average Loss  0.603246, Time  0.234562
2021-09-15 05:17:19.109762 : Epoch  2, Batch     76, Loss  0.872598, Average Loss  0.873255, Time  0.264955
2021-09-15 05:17:20.580224 : Epoch  7, Batch    610, Loss  0.605475, Average Loss  0.603255, Time  0.231281
2021-09-15 05:17:22.123048 : Epoch  7, Batch    611, Loss  0.600101, Average Loss  0.603149, Time  0.231056
2021-09-15 05:17:22.157951 : Epoch  2, Batch     77, Loss  0.856096, Average Loss  0.873132, Time  0.265512
2021-09-15 05:17:23.662029 : Epoch  7, Batch    612, Loss  0.619071, Average Loss  0.603237, Time  0.230937
2021-09-15 05:17:25.183673 : Epoch  2, Batch     78, Loss  0.860326, Average Loss  0.873165, Time  0.265507
2021-09-15 05:17:25.205639 : Epoch  7, Batch    613, Loss  0.598575, Average Loss  0.603146, Time  0.231584
2021-09-15 05:17:26.765442 : Epoch  7, Batch    614, Loss  0.601824, Average Loss  0.603156, Time  0.230773
2021-09-15 05:17:28.218767 : Epoch  2, Batch     79, Loss  0.846029, Average Loss  0.873020, Time  0.264424
2021-09-15 05:17:28.307993 : Epoch  7, Batch    615, Loss  0.597547, Average Loss  0.603110, Time  0.232689
2021-09-15 05:17:29.846897 : Epoch  7, Batch    616, Loss  0.601931, Average Loss  0.603096, Time  0.231421
2021-09-15 05:17:29.972699 : CheckPoint: Validation Loss  0.00025370, Best Loss  0.00024341
2021-09-15 05:17:31.239543 : Epoch  2, Batch     80, Loss  0.867361, Average Loss  0.873073, Time  0.266102
2021-09-15 05:17:31.389283 : Epoch  7, Batch    617, Loss  0.595369, Average Loss  0.603051, Time  0.234394
2021-09-15 05:17:31.534103 : Epoch  6, Batch    466, Loss  0.600291, Average Loss  0.604256, Time  0.278353
2021-09-15 05:17:32.926961 : Epoch  7, Batch    618, Loss  0.600607, Average Loss  0.603093, Time  0.231977
2021-09-15 05:17:33.067812 : Epoch  6, Batch    467, Loss  0.604787, Average Loss  0.604217, Time  0.257219
2021-09-15 05:17:34.235915 : Epoch  2, Batch     81, Loss  0.860666, Average Loss  0.873025, Time  0.264503
2021-09-15 05:17:34.476139 : Epoch  7, Batch    619, Loss  0.605405, Average Loss  0.603124, Time  0.231293
2021-09-15 05:17:34.590834 : Epoch  6, Batch    468, Loss  0.605793, Average Loss  0.604195, Time  0.243734
2021-09-15 05:17:36.018631 : Epoch  7, Batch    620, Loss  0.611744, Average Loss  0.603199, Time  0.234716
2021-09-15 05:17:36.113996 : Epoch  6, Batch    469, Loss  0.597553, Average Loss  0.604071, Time  0.241019
2021-09-15 05:17:37.230297 : Epoch  2, Batch     82, Loss  0.890890, Average Loss  0.873111, Time  0.264205
2021-09-15 05:17:37.565899 : Epoch  7, Batch    621, Loss  0.600842, Average Loss  0.603169, Time  0.232595
2021-09-15 05:17:37.646003 : Epoch  6, Batch    470, Loss  0.607413, Average Loss  0.604069, Time  0.244178
2021-09-15 05:17:39.110768 : Epoch  7, Batch    622, Loss  0.609341, Average Loss  0.603194, Time  0.231210
2021-09-15 05:17:39.167411 : Epoch  6, Batch    471, Loss  0.610729, Average Loss  0.604102, Time  0.237076
2021-09-15 05:17:40.243083 : Epoch  2, Batch     83, Loss  0.862723, Average Loss  0.873059, Time  0.265175
2021-09-15 05:17:40.670171 : Epoch  7, Batch    623, Loss  0.609702, Average Loss  0.603201, Time  0.231797
2021-09-15 05:17:40.699518 : Epoch  6, Batch    472, Loss  0.597372, Average Loss  0.604066, Time  0.238689
2021-09-15 05:17:42.215396 : Epoch  7, Batch    624, Loss  0.619385, Average Loss  0.603294, Time  0.232360
2021-09-15 05:17:42.249792 : Epoch  6, Batch    473, Loss  0.603149, Average Loss  0.604034, Time  0.242914
2021-09-15 05:17:43.259452 : Epoch  2, Batch     84, Loss  0.882407, Average Loss  0.873091, Time  0.264923
2021-09-15 05:17:43.762043 : Epoch  7, Batch    625, Loss  0.611054, Average Loss  0.603416, Time  0.232557
2021-09-15 05:17:43.786205 : Epoch  6, Batch    474, Loss  0.597607, Average Loss  0.603968, Time  0.241130
2021-09-15 05:17:45.303372 : Epoch  7, Batch    626, Loss  0.598061, Average Loss  0.603418, Time  0.231076
2021-09-15 05:17:45.335059 : Epoch  6, Batch    475, Loss  0.607407, Average Loss  0.603994, Time  0.240962
2021-09-15 05:17:46.245044 : Epoch  2, Batch     85, Loss  0.878743, Average Loss  0.873206, Time  0.265952
2021-09-15 05:17:46.849298 : Epoch  7, Batch    627, Loss  0.604825, Average Loss  0.603456, Time  0.231267
2021-09-15 05:17:46.886852 : Epoch  6, Batch    476, Loss  0.614263, Average Loss  0.604053, Time  0.239242
2021-09-15 05:17:48.399080 : Epoch  7, Batch    628, Loss  0.610107, Average Loss  0.603411, Time  0.232342
2021-09-15 05:17:48.433417 : Epoch  6, Batch    477, Loss  0.615906, Average Loss  0.604114, Time  0.239333
2021-09-15 05:17:49.243462 : Epoch  2, Batch     86, Loss  0.867857, Average Loss  0.873287, Time  0.267006
2021-09-15 05:17:49.947914 : Epoch  7, Batch    629, Loss  0.599743, Average Loss  0.603414, Time  0.231225
2021-09-15 05:17:49.982247 : Epoch  6, Batch    478, Loss  0.599670, Average Loss  0.604069, Time  0.241378
2021-09-15 05:17:51.489386 : Epoch  7, Batch    630, Loss  0.602737, Average Loss  0.603390, Time  0.231276
2021-09-15 05:17:51.522165 : Epoch  6, Batch    479, Loss  0.600552, Average Loss  0.604093, Time  0.240801
2021-09-15 05:17:52.265827 : Epoch  2, Batch     87, Loss  0.868363, Average Loss  0.873263, Time  0.277306
2021-09-15 05:17:53.028378 : Epoch  7, Batch    631, Loss  0.596436, Average Loss  0.603324, Time  0.231178
2021-09-15 05:17:53.063799 : Epoch  6, Batch    480, Loss  0.606802, Average Loss  0.604134, Time  0.240516
2021-09-15 05:17:54.581369 : Epoch  6, Batch    481, Loss  0.596892, Average Loss  0.604130, Time  0.240436
2021-09-15 05:17:54.612399 : Epoch  7, Batch    632, Loss  0.600062, Average Loss  0.603350, Time  0.231682
2021-09-15 05:17:55.263940 : Epoch  2, Batch     88, Loss  0.868033, Average Loss  0.873293, Time  0.266087
2021-09-15 05:17:56.115266 : Epoch  6, Batch    482, Loss  0.616738, Average Loss  0.604238, Time  0.242006
2021-09-15 05:17:56.159828 : Epoch  7, Batch    633, Loss  0.594077, Average Loss  0.603320, Time  0.231436
2021-09-15 05:17:57.640941 : Epoch  6, Batch    483, Loss  0.606537, Average Loss  0.604172, Time  0.240963
2021-09-15 05:17:57.711391 : Epoch  7, Batch    634, Loss  0.601192, Average Loss  0.603252, Time  0.231314
2021-09-15 05:17:58.267334 : Epoch  2, Batch     89, Loss  0.886211, Average Loss  0.873307, Time  0.266362
2021-09-15 05:17:59.185481 : Epoch  6, Batch    484, Loss  0.605299, Average Loss  0.604168, Time  0.242608
2021-09-15 05:17:59.253399 : Epoch  7, Batch    635, Loss  0.584923, Average Loss  0.603135, Time  0.232392
2021-09-15 05:18:00.801973 : Epoch  7, Batch    636, Loss  0.597704, Average Loss  0.603094, Time  0.232582
2021-09-15 05:18:00.864034 : Epoch  6, Batch    485, Loss  0.614037, Average Loss  0.604199, Time  0.256814
2021-09-15 05:18:01.292660 : Epoch  2, Batch     90, Loss  0.862466, Average Loss  0.873207, Time  0.265479
2021-09-15 05:18:02.356809 : Epoch  7, Batch    637, Loss  0.621108, Average Loss  0.603217, Time  0.231543
2021-09-15 05:18:02.393464 : Epoch  6, Batch    486, Loss  0.603454, Average Loss  0.604176, Time  0.240313
2021-09-15 05:18:03.910146 : Epoch  7, Batch    638, Loss  0.590458, Average Loss  0.603164, Time  0.231028
2021-09-15 05:18:03.945954 : Epoch  6, Batch    487, Loss  0.603018, Average Loss  0.604174, Time  0.240359
2021-09-15 05:18:04.295975 : Epoch  2, Batch     91, Loss  0.882997, Average Loss  0.873250, Time  0.264690
2021-09-15 05:18:05.457122 : Epoch  7, Batch    639, Loss  0.604160, Average Loss  0.603169, Time  0.231544
2021-09-15 05:18:05.493922 : Epoch  6, Batch    488, Loss  0.602974, Average Loss  0.604183, Time  0.240309
2021-09-15 05:18:07.012949 : Epoch  7, Batch    640, Loss  0.604224, Average Loss  0.603146, Time  0.232196
2021-09-15 05:18:07.049038 : Epoch  6, Batch    489, Loss  0.613840, Average Loss  0.604260, Time  0.238294
2021-09-15 05:18:07.285987 : Epoch  2, Batch     92, Loss  0.892725, Average Loss  0.873347, Time  0.264728
2021-09-15 05:18:08.573423 : Epoch  7, Batch    641, Loss  0.597153, Average Loss  0.603115, Time  0.231143
2021-09-15 05:18:08.612148 : Epoch  6, Batch    490, Loss  0.604565, Average Loss  0.604246, Time  0.240572
2021-09-15 05:18:10.127438 : Epoch  7, Batch    642, Loss  0.597660, Average Loss  0.603095, Time  0.233640
2021-09-15 05:18:10.165111 : Epoch  6, Batch    491, Loss  0.602676, Average Loss  0.604321, Time  0.237923
2021-09-15 05:18:10.285398 : Epoch  2, Batch     93, Loss  0.894946, Average Loss  0.873539, Time  0.265660
2021-09-15 05:18:11.697861 : Epoch  6, Batch    492, Loss  0.591203, Average Loss  0.604266, Time  0.240718
2021-09-15 05:18:11.728112 : Epoch  7, Batch    643, Loss  0.602205, Average Loss  0.603107, Time  0.232730
2021-09-15 05:18:13.227748 : Epoch  6, Batch    493, Loss  0.603549, Average Loss  0.604272, Time  0.239248
2021-09-15 05:18:13.292363 : Epoch  7, Batch    644, Loss  0.605219, Average Loss  0.603107, Time  0.232570
2021-09-15 05:18:13.308067 : Epoch  2, Batch     94, Loss  0.879476, Average Loss  0.873421, Time  0.265517
2021-09-15 05:18:14.877226 : Epoch  7, Batch    645, Loss  0.596659, Average Loss  0.603079, Time  0.232208
2021-09-15 05:18:14.908582 : Epoch  6, Batch    494, Loss  0.603638, Average Loss  0.604302, Time  0.259987
2021-09-15 05:18:16.354720 : Epoch  2, Batch     95, Loss  0.853623, Average Loss  0.873353, Time  0.264115
2021-09-15 05:18:16.435219 : Epoch  7, Batch    646, Loss  0.598049, Average Loss  0.603073, Time  0.232715
2021-09-15 05:18:16.585762 : Epoch  6, Batch    495, Loss  0.603763, Average Loss  0.604309, Time  0.256608
2021-09-15 05:18:17.996893 : Epoch  7, Batch    647, Loss  0.600862, Average Loss  0.603076, Time  0.231913
2021-09-15 05:18:18.259086 : Epoch  6, Batch    496, Loss  0.614426, Average Loss  0.604352, Time  0.259684
2021-09-15 05:18:19.343095 : Epoch  2, Batch     96, Loss  0.877594, Average Loss  0.873422, Time  0.265131
2021-09-15 05:18:19.568062 : Epoch  7, Batch    648, Loss  0.612436, Average Loss  0.603064, Time  0.231695
2021-09-15 05:18:19.791107 : Epoch  6, Batch    497, Loss  0.594011, Average Loss  0.604275, Time  0.238363
2021-09-15 05:18:21.321767 : Epoch  6, Batch    498, Loss  0.595853, Average Loss  0.604199, Time  0.242126
2021-09-15 05:18:22.331286 : Epoch  2, Batch     97, Loss  0.859428, Average Loss  0.873429, Time  0.264094
2021-09-15 05:18:22.850600 : Epoch  6, Batch    499, Loss  0.605175, Average Loss  0.604218, Time  0.239662
2021-09-15 05:18:23.597088 : Epoch  7, Batch    649, Loss  0.614661, Average Loss  0.603121, Time  0.262149
2021-09-15 05:18:24.366797 : Epoch  6, Batch    500, Loss  0.590364, Average Loss  0.604123, Time  0.240370
2021-09-15 05:18:25.157143 : Epoch  7, Batch    650, Loss  0.593003, Average Loss  0.603059, Time  0.238321
2021-09-15 05:18:25.330788 : Epoch  2, Batch     98, Loss  0.889878, Average Loss  0.873413, Time  0.265481
2021-09-15 05:18:25.891231 : Epoch  6, Batch    501, Loss  0.593896, Average Loss  0.604093, Time  0.241139
2021-09-15 05:18:26.719387 : Epoch  7, Batch    651, Loss  0.603439, Average Loss  0.603060, Time  0.231782
2021-09-15 05:18:27.424189 : Epoch  6, Batch    502, Loss  0.600393, Average Loss  0.604032, Time  0.240047
2021-09-15 05:18:28.277239 : Epoch  7, Batch    652, Loss  0.598670, Average Loss  0.603041, Time  0.231707
2021-09-15 05:18:28.320710 : Epoch  2, Batch     99, Loss  0.864540, Average Loss  0.873288, Time  0.264835
2021-09-15 05:18:28.957975 : Epoch  6, Batch    503, Loss  0.613370, Average Loss  0.604097, Time  0.240080
2021-09-15 05:18:29.840230 : Epoch  7, Batch    653, Loss  0.594252, Average Loss  0.602989, Time  0.231275
2021-09-15 05:18:30.479850 : Epoch  6, Batch    504, Loss  0.603214, Average Loss  0.604119, Time  0.239430
2021-09-15 05:18:31.338602 : Epoch  2, Batch    100, Loss  0.870595, Average Loss  0.873209, Time  0.264574
2021-09-15 05:18:31.398018 : Epoch  7, Batch    654, Loss  0.607697, Average Loss  0.603001, Time  0.234194
2021-09-15 05:18:31.998810 : Epoch  6, Batch    505, Loss  0.609987, Average Loss  0.604134, Time  0.240932
2021-09-15 05:18:32.965796 : Epoch  7, Batch    655, Loss  0.595815, Average Loss  0.602959, Time  0.232143
2021-09-15 05:18:33.530836 : Epoch  6, Batch    506, Loss  0.601129, Average Loss  0.604047, Time  0.238984
2021-09-15 05:18:34.357913 : Epoch  2, Batch    101, Loss  0.863149, Average Loss  0.873130, Time  0.264888
2021-09-15 05:18:34.518368 : Epoch  7, Batch    656, Loss  0.597327, Average Loss  0.602960, Time  0.231465
2021-09-15 05:18:35.064846 : Epoch  6, Batch    507, Loss  0.617100, Average Loss  0.604052, Time  0.240357
2021-09-15 05:18:36.095144 : Epoch  7, Batch    657, Loss  0.616338, Average Loss  0.603036, Time  0.232525
2021-09-15 05:18:36.593751 : Epoch  6, Batch    508, Loss  0.600391, Average Loss  0.604047, Time  0.242160
2021-09-15 05:18:37.379144 : Epoch  2, Batch    102, Loss  0.873895, Average Loss  0.873114, Time  0.278320
2021-09-15 05:18:37.658717 : Epoch  7, Batch    658, Loss  0.603394, Average Loss  0.603029, Time  0.232849
2021-09-15 05:18:38.131859 : Epoch  6, Batch    509, Loss  0.604455, Average Loss  0.604067, Time  0.240252
2021-09-15 05:18:39.212087 : Epoch  7, Batch    659, Loss  0.601483, Average Loss  0.603037, Time  0.231431
2021-09-15 05:18:39.650954 : Epoch  6, Batch    510, Loss  0.602952, Average Loss  0.604084, Time  0.240789
2021-09-15 05:18:40.370018 : Epoch  2, Batch    103, Loss  0.886708, Average Loss  0.873199, Time  0.265061
2021-09-15 05:18:40.769401 : Epoch  7, Batch    660, Loss  0.611169, Average Loss  0.603103, Time  0.231428
2021-09-15 05:18:41.166765 : Epoch  6, Batch    511, Loss  0.608386, Average Loss  0.604112, Time  0.239217
2021-09-15 05:18:41.309848 : Epoch  6, Batch    512, Loss  0.583483, Average Loss  0.604071, Time  0.100334
2021-09-15 05:18:42.322329 : Epoch  7, Batch    661, Loss  0.597009, Average Loss  0.603033, Time  0.231632
2021-09-15 05:18:42.839940 : Epoch  6, Batch    513, Loss  0.599635, Average Loss  0.604028, Time  0.238899
2021-09-15 05:18:43.364604 : Epoch  2, Batch    104, Loss  0.859887, Average Loss  0.873209, Time  0.265104
2021-09-15 05:18:43.885644 : Epoch  7, Batch    662, Loss  0.597600, Average Loss  0.602993, Time  0.231425
2021-09-15 05:18:44.367971 : Epoch  6, Batch    514, Loss  0.611882, Average Loss  0.604006, Time  0.238997
2021-09-15 05:18:45.445646 : Epoch  7, Batch    663, Loss  0.599949, Average Loss  0.602971, Time  0.231376
2021-09-15 05:18:45.891380 : Epoch  6, Batch    515, Loss  0.617238, Average Loss  0.604098, Time  0.238049
2021-09-15 05:18:46.341854 : Epoch  2, Batch    105, Loss  0.844051, Average Loss  0.873044, Time  0.264791
2021-09-15 05:18:47.001320 : Epoch  7, Batch    664, Loss  0.594469, Average Loss  0.602858, Time  0.232036
2021-09-15 05:18:47.424873 : Epoch  6, Batch    516, Loss  0.622602, Average Loss  0.604201, Time  0.239593
2021-09-15 05:18:48.558358 : Epoch  7, Batch    665, Loss  0.594468, Average Loss  0.602926, Time  0.232404
2021-09-15 05:18:48.946403 : Epoch  6, Batch    517, Loss  0.618693, Average Loss  0.604279, Time  0.241120
2021-09-15 05:18:49.345063 : Epoch  2, Batch    106, Loss  0.886826, Average Loss  0.873040, Time  0.266872
2021-09-15 05:18:50.116960 : Epoch  7, Batch    666, Loss  0.590387, Average Loss  0.602915, Time  0.231162
2021-09-15 05:18:50.463844 : Epoch  6, Batch    518, Loss  0.618797, Average Loss  0.604297, Time  0.241319
2021-09-15 05:18:51.680396 : Epoch  7, Batch    667, Loss  0.604953, Average Loss  0.602964, Time  0.230842
2021-09-15 05:18:51.981816 : Epoch  6, Batch    519, Loss  0.613515, Average Loss  0.604287, Time  0.240417
2021-09-15 05:18:52.359155 : Epoch  2, Batch    107, Loss  0.894219, Average Loss  0.873148, Time  0.265554
2021-09-15 05:18:53.236165 : Epoch  7, Batch    668, Loss  0.600834, Average Loss  0.602912, Time  0.231852
2021-09-15 05:18:53.501889 : Epoch  6, Batch    520, Loss  0.620828, Average Loss  0.604429, Time  0.241562
2021-09-15 05:18:54.809040 : Epoch  7, Batch    669, Loss  0.600935, Average Loss  0.602922, Time  0.231259
2021-09-15 05:18:55.021133 : Epoch  6, Batch    521, Loss  0.600040, Average Loss  0.604375, Time  0.241223
2021-09-15 05:18:55.370259 : Epoch  2, Batch    108, Loss  0.877448, Average Loss  0.873225, Time  0.264926
2021-09-15 05:18:56.365377 : Epoch  7, Batch    670, Loss  0.597350, Average Loss  0.602907, Time  0.231414
2021-09-15 05:18:56.547367 : Epoch  6, Batch    522, Loss  0.615581, Average Loss  0.604433, Time  0.238830
2021-09-15 05:18:57.917037 : Epoch  7, Batch    671, Loss  0.597787, Average Loss  0.602894, Time  0.231144
2021-09-15 05:18:58.073904 : Epoch  6, Batch    523, Loss  0.607218, Average Loss  0.604423, Time  0.242651
2021-09-15 05:18:58.344367 : Epoch  2, Batch    109, Loss  0.864512, Average Loss  0.873182, Time  0.264956
2021-09-15 05:18:59.468347 : Epoch  7, Batch    672, Loss  0.610753, Average Loss  0.602937, Time  0.231661
2021-09-15 05:18:59.593048 : Epoch  6, Batch    524, Loss  0.622947, Average Loss  0.604537, Time  0.241377
2021-09-15 05:19:01.018872 : Epoch  7, Batch    673, Loss  0.610636, Average Loss  0.602938, Time  0.231233
2021-09-15 05:19:01.112936 : Epoch  6, Batch    525, Loss  0.625947, Average Loss  0.604624, Time  0.241327
2021-09-15 05:19:01.339431 : Epoch  2, Batch    110, Loss  0.869084, Average Loss  0.873210, Time  0.265828
2021-09-15 05:19:02.572277 : Epoch  7, Batch    674, Loss  0.608076, Average Loss  0.602956, Time  0.232006
2021-09-15 05:19:02.634390 : Epoch  6, Batch    526, Loss  0.607670, Average Loss  0.604591, Time  0.239548
2021-09-15 05:19:04.124663 : Epoch  7, Batch    675, Loss  0.597536, Average Loss  0.602911, Time  0.232108
2021-09-15 05:19:04.167075 : Epoch  6, Batch    527, Loss  0.618760, Average Loss  0.604644, Time  0.241791
2021-09-15 05:19:04.318559 : Epoch  2, Batch    111, Loss  0.877383, Average Loss  0.873198, Time  0.264889
2021-09-15 05:19:05.682177 : Epoch  7, Batch    676, Loss  0.614248, Average Loss  0.603031, Time  0.231701
2021-09-15 05:19:05.722996 : Epoch  6, Batch    528, Loss  0.610026, Average Loss  0.604676, Time  0.240864
2021-09-15 05:19:07.240851 : Epoch  7, Batch    677, Loss  0.612295, Average Loss  0.603052, Time  0.231387
2021-09-15 05:19:07.277241 : Epoch  6, Batch    529, Loss  0.611534, Average Loss  0.604760, Time  0.240369
2021-09-15 05:19:07.341484 : Epoch  2, Batch    112, Loss  0.850098, Average Loss  0.873036, Time  0.264497
2021-09-15 05:19:08.790369 : Epoch  7, Batch    678, Loss  0.596286, Average Loss  0.602971, Time  0.231326
2021-09-15 05:19:08.828657 : Epoch  6, Batch    530, Loss  0.611578, Average Loss  0.604796, Time  0.240996
2021-09-15 05:19:10.353918 : Epoch  2, Batch    113, Loss  0.875785, Average Loss  0.873101, Time  0.266027
2021-09-15 05:19:10.363254 : Epoch  6, Batch    531, Loss  0.614801, Average Loss  0.604919, Time  0.241165
2021-09-15 05:19:11.929098 : Epoch  6, Batch    532, Loss  0.606092, Average Loss  0.604926, Time  0.243042
2021-09-15 05:19:13.366694 : Epoch  2, Batch    114, Loss  0.898138, Average Loss  0.873275, Time  0.264923
2021-09-15 05:19:13.460356 : Epoch  6, Batch    533, Loss  0.597612, Average Loss  0.604896, Time  0.238521
2021-09-15 05:19:14.980368 : Epoch  6, Batch    534, Loss  0.609618, Average Loss  0.604887, Time  0.240507
2021-09-15 05:19:16.376627 : Epoch  2, Batch    115, Loss  0.857933, Average Loss  0.873066, Time  0.265270
2021-09-15 05:19:16.502342 : Epoch  6, Batch    535, Loss  0.604250, Average Loss  0.604951, Time  0.241706
2021-09-15 05:19:18.051335 : Epoch  6, Batch    536, Loss  0.606580, Average Loss  0.604955, Time  0.241967
2021-09-15 05:19:19.375903 : Epoch  2, Batch    116, Loss  0.864489, Average Loss  0.873015, Time  0.265863
2021-09-15 05:19:22.253923 : Epoch  6, Batch    537, Loss  0.605528, Average Loss  0.604971, Time  0.274027
2021-09-15 05:19:22.407445 : Epoch  2, Batch    117, Loss  0.870390, Average Loss  0.872992, Time  0.275498
2021-09-15 05:19:23.790393 : Epoch  6, Batch    538, Loss  0.617266, Average Loss  0.604971, Time  0.243584
2021-09-15 05:19:25.364033 : Epoch  6, Batch    539, Loss  0.605181, Average Loss  0.604978, Time  0.242073
2021-09-15 05:19:25.424465 : Epoch  2, Batch    118, Loss  0.863610, Average Loss  0.873040, Time  0.264773
2021-09-15 05:19:26.915880 : Epoch  6, Batch    540, Loss  0.606576, Average Loss  0.604971, Time  0.241700
2021-09-15 05:19:28.436194 : Epoch  2, Batch    119, Loss  0.873921, Average Loss  0.873100, Time  0.264383
2021-09-15 05:19:28.439418 : Epoch  6, Batch    541, Loss  0.598015, Average Loss  0.604894, Time  0.239362
2021-09-15 05:19:29.981810 : Epoch  6, Batch    542, Loss  0.609141, Average Loss  0.604945, Time  0.241019
2021-09-15 05:19:31.422502 : Epoch  2, Batch    120, Loss  0.861224, Average Loss  0.873136, Time  0.264339
2021-09-15 05:19:31.503014 : Epoch  6, Batch    543, Loss  0.609822, Average Loss  0.604946, Time  0.241779
2021-09-15 05:19:33.034332 : Epoch  6, Batch    544, Loss  0.593890, Average Loss  0.604818, Time  0.242962
2021-09-15 05:19:34.414258 : Epoch  2, Batch    121, Loss  0.863513, Average Loss  0.872971, Time  0.264766
2021-09-15 05:19:34.572184 : Epoch  6, Batch    545, Loss  0.613172, Average Loss  0.604899, Time  0.241390
2021-09-15 05:19:36.097032 : Epoch  6, Batch    546, Loss  0.602965, Average Loss  0.604917, Time  0.237704
2021-09-15 05:19:37.429524 : Epoch  2, Batch    122, Loss  0.873223, Average Loss  0.872961, Time  0.263513
2021-09-15 05:19:37.792152 : Epoch  6, Batch    547, Loss  0.604356, Average Loss  0.604943, Time  0.258273
2021-09-15 05:19:39.487434 : Epoch  6, Batch    548, Loss  0.606324, Average Loss  0.604984, Time  0.259813
2021-09-15 05:19:40.435006 : Epoch  2, Batch    123, Loss  0.865763, Average Loss  0.873026, Time  0.264801
2021-09-15 05:19:41.178023 : Epoch  6, Batch    549, Loss  0.615971, Average Loss  0.605084, Time  0.262291
2021-09-15 05:19:42.872096 : Epoch  6, Batch    550, Loss  0.609541, Average Loss  0.605070, Time  0.257507
2021-09-15 05:19:43.410405 : Epoch  2, Batch    124, Loss  0.873556, Average Loss  0.873036, Time  0.265643
2021-09-15 05:19:44.555829 : Epoch  6, Batch    551, Loss  0.603587, Average Loss  0.605080, Time  0.258712
2021-09-15 05:19:46.234418 : Epoch  6, Batch    552, Loss  0.611927, Average Loss  0.605129, Time  0.257332
2021-09-15 05:19:46.410089 : Epoch  2, Batch    125, Loss  0.887787, Average Loss  0.873076, Time  0.264487
2021-09-15 05:19:47.759402 : Epoch  6, Batch    553, Loss  0.614605, Average Loss  0.605219, Time  0.238935
2021-09-15 05:19:49.300383 : Epoch  6, Batch    554, Loss  0.608587, Average Loss  0.605256, Time  0.239685
2021-09-15 05:19:49.416964 : Epoch  2, Batch    126, Loss  0.886792, Average Loss  0.873102, Time  0.266753
2021-09-15 05:19:50.843075 : Epoch  6, Batch    555, Loss  0.599405, Average Loss  0.605267, Time  0.239777
2021-09-15 05:19:52.371983 : Epoch  6, Batch    556, Loss  0.602035, Average Loss  0.605263, Time  0.241348
2021-09-15 05:19:52.410007 : Epoch  2, Batch    127, Loss  0.869625, Average Loss  0.873023, Time  0.264892
2021-09-15 05:19:53.897392 : Epoch  6, Batch    557, Loss  0.602779, Average Loss  0.605293, Time  0.242816
2021-09-15 05:19:55.430036 : Epoch  6, Batch    558, Loss  0.614721, Average Loss  0.605314, Time  0.240012
2021-09-15 05:19:55.443126 : Epoch  2, Batch    128, Loss  0.883763, Average Loss  0.872993, Time  0.265106
2021-09-15 05:19:56.948417 : Epoch  6, Batch    559, Loss  0.611783, Average Loss  0.605400, Time  0.239531
2021-09-15 05:19:58.487790 : Epoch  2, Batch    129, Loss  0.856862, Average Loss  0.872867, Time  0.266376
2021-09-15 05:19:58.496851 : Epoch  6, Batch    560, Loss  0.611934, Average Loss  0.605444, Time  0.242873
2021-09-15 05:20:00.040803 : Epoch  6, Batch    561, Loss  0.607372, Average Loss  0.605478, Time  0.240583
2021-09-15 05:20:01.482967 : Epoch  2, Batch    130, Loss  0.887984, Average Loss  0.872973, Time  0.264867
2021-09-15 05:20:01.550312 : Epoch  6, Batch    562, Loss  0.600155, Average Loss  0.605427, Time  0.236590
2021-09-15 05:20:03.066805 : Epoch  6, Batch    563, Loss  0.607478, Average Loss  0.605411, Time  0.238519
2021-09-15 05:20:04.499220 : Epoch  2, Batch    131, Loss  0.855568, Average Loss  0.872932, Time  0.266963
2021-09-15 05:20:04.580792 : Epoch  6, Batch    564, Loss  0.599382, Average Loss  0.605386, Time  0.238656
2021-09-15 05:20:06.098392 : Epoch  6, Batch    565, Loss  0.592282, Average Loss  0.605283, Time  0.239619
2021-09-15 05:20:06.944720 : CheckPoint: Validation Loss  0.00026189, Best Loss  0.00024571
2021-09-15 05:20:07.506944 : Epoch  2, Batch    132, Loss  0.852881, Average Loss  0.872903, Time  0.276875
2021-09-15 05:20:08.508231 : Epoch  7, Batch    679, Loss  0.612318, Average Loss  0.603003, Time  0.232059
2021-09-15 05:20:10.052571 : Epoch  7, Batch    680, Loss  0.604017, Average Loss  0.603007, Time  0.233414
2021-09-15 05:20:10.537293 : Epoch  2, Batch    133, Loss  0.878536, Average Loss  0.872899, Time  0.264591
2021-09-15 05:20:11.611232 : Epoch  7, Batch    681, Loss  0.601760, Average Loss  0.602920, Time  0.231493
2021-09-15 05:20:13.164621 : Epoch  7, Batch    682, Loss  0.607464, Average Loss  0.602927, Time  0.231288
2021-09-15 05:20:13.509971 : Epoch  2, Batch    134, Loss  0.864128, Average Loss  0.872909, Time  0.264205
2021-09-15 05:20:14.714438 : Epoch  7, Batch    683, Loss  0.613560, Average Loss  0.602995, Time  0.230983
2021-09-15 05:20:16.270597 : Epoch  7, Batch    684, Loss  0.607113, Average Loss  0.603048, Time  0.231375
2021-09-15 05:20:16.494218 : Epoch  2, Batch    135, Loss  0.872146, Average Loss  0.872875, Time  0.264436
2021-09-15 05:20:17.828370 : Epoch  7, Batch    685, Loss  0.609731, Average Loss  0.603049, Time  0.230847
2021-09-15 05:20:19.382326 : Epoch  7, Batch    686, Loss  0.609187, Average Loss  0.603085, Time  0.231673
2021-09-15 05:20:19.480875 : Epoch  2, Batch    136, Loss  0.875841, Average Loss  0.872793, Time  0.264704
2021-09-15 05:20:20.929813 : Epoch  7, Batch    687, Loss  0.601666, Average Loss  0.603058, Time  0.231871
2021-09-15 05:20:22.477903 : Epoch  7, Batch    688, Loss  0.608873, Average Loss  0.603103, Time  0.231595
2021-09-15 05:20:22.502362 : Epoch  2, Batch    137, Loss  0.868787, Average Loss  0.872803, Time  0.265713
2021-09-15 05:20:24.032080 : Epoch  7, Batch    689, Loss  0.600871, Average Loss  0.603105, Time  0.232593
2021-09-15 05:20:25.509706 : Epoch  2, Batch    138, Loss  0.866890, Average Loss  0.872671, Time  0.264261
2021-09-15 05:20:25.595848 : Epoch  7, Batch    690, Loss  0.607480, Average Loss  0.603152, Time  0.231314
2021-09-15 05:20:27.160698 : Epoch  7, Batch    691, Loss  0.606292, Average Loss  0.603169, Time  0.232345
2021-09-15 05:20:28.510483 : Epoch  2, Batch    139, Loss  0.863268, Average Loss  0.872608, Time  0.264984
2021-09-15 05:20:28.709877 : Epoch  7, Batch    692, Loss  0.599030, Average Loss  0.603159, Time  0.231471
2021-09-15 05:20:30.260110 : Epoch  7, Batch    693, Loss  0.621395, Average Loss  0.603225, Time  0.231507
2021-09-15 05:20:31.506087 : Epoch  2, Batch    140, Loss  0.871027, Average Loss  0.872414, Time  0.264889
2021-09-15 05:20:31.808740 : Epoch  7, Batch    694, Loss  0.596650, Average Loss  0.603156, Time  0.231785
2021-09-15 05:20:33.353784 : Epoch  7, Batch    695, Loss  0.599499, Average Loss  0.603160, Time  0.231754
2021-09-15 05:20:34.491726 : Epoch  2, Batch    141, Loss  0.877551, Average Loss  0.872392, Time  0.264617
2021-09-15 05:20:34.902370 : Epoch  7, Batch    696, Loss  0.604820, Average Loss  0.603154, Time  0.231243
2021-09-15 05:20:35.037848 : Epoch  7, Batch    697, Loss  0.528842, Average Loss  0.602785, Time  0.098449
2021-09-15 05:20:36.582633 : Epoch  7, Batch    698, Loss  0.603509, Average Loss  0.602781, Time  0.231627
2021-09-15 05:20:37.526452 : Epoch  2, Batch    142, Loss  0.867306, Average Loss  0.872420, Time  0.265542
2021-09-15 05:20:38.126067 : Epoch  7, Batch    699, Loss  0.603281, Average Loss  0.602787, Time  0.231085
2021-09-15 05:20:39.675653 : Epoch  7, Batch    700, Loss  0.628643, Average Loss  0.602894, Time  0.231407
2021-09-15 05:20:40.550351 : Epoch  2, Batch    143, Loss  0.848018, Average Loss  0.872413, Time  0.264751
2021-09-15 05:20:41.220903 : Epoch  7, Batch    701, Loss  0.605588, Average Loss  0.602945, Time  0.231468
2021-09-15 05:20:42.760056 : Epoch  7, Batch    702, Loss  0.613792, Average Loss  0.603023, Time  0.231357
2021-09-15 05:20:44.304199 : Epoch  7, Batch    703, Loss  0.611142, Average Loss  0.603105, Time  0.231222
2021-09-15 05:20:45.851710 : Epoch  7, Batch    704, Loss  0.602252, Average Loss  0.603037, Time  0.231078
2021-09-15 05:20:47.396362 : Epoch  7, Batch    705, Loss  0.604440, Average Loss  0.603045, Time  0.231092
2021-09-15 05:20:48.942621 : Epoch  7, Batch    706, Loss  0.596488, Average Loss  0.603046, Time  0.230983
2021-09-15 05:20:50.485101 : Epoch  7, Batch    707, Loss  0.621677, Average Loss  0.603176, Time  0.231167
2021-09-15 05:20:51.628717 : Epoch  2, Batch    144, Loss  0.846507, Average Loss  0.872221, Time  0.264813
2021-09-15 05:20:52.034397 : Epoch  7, Batch    708, Loss  0.619738, Average Loss  0.603213, Time  0.230991
2021-09-15 05:20:53.568698 : Epoch  7, Batch    709, Loss  0.611161, Average Loss  0.603248, Time  0.231458
2021-09-15 05:20:55.113619 : Epoch  7, Batch    710, Loss  0.605324, Average Loss  0.603274, Time  0.232857
2021-09-15 05:20:56.672639 : Epoch  7, Batch    711, Loss  0.600229, Average Loss  0.603300, Time  0.232933
2021-09-15 05:20:58.231694 : Epoch  7, Batch    712, Loss  0.600209, Average Loss  0.603341, Time  0.231248
2021-09-15 05:20:59.781870 : Epoch  7, Batch    713, Loss  0.599996, Average Loss  0.603295, Time  0.231204
2021-09-15 05:21:01.347393 : Epoch  7, Batch    714, Loss  0.615186, Average Loss  0.603380, Time  0.232184
2021-09-15 05:21:02.896254 : Epoch  7, Batch    715, Loss  0.608573, Average Loss  0.603415, Time  0.231384
2021-09-15 05:21:04.121708 : CheckPoint: Validation Loss  0.00025636, Best Loss  0.00024341
2021-09-15 05:21:04.449531 : Epoch  7, Batch    716, Loss  0.603207, Average Loss  0.603421, Time  0.236022
2021-09-15 05:21:05.648020 : Epoch  6, Batch    566, Loss  0.602730, Average Loss  0.605285, Time  0.242038
2021-09-15 05:21:05.981011 : Epoch  7, Batch    717, Loss  0.607919, Average Loss  0.603415, Time  0.231149
2021-09-15 05:21:07.163756 : Epoch  6, Batch    567, Loss  0.592001, Average Loss  0.605224, Time  0.240541
2021-09-15 05:21:07.516393 : Epoch  7, Batch    718, Loss  0.601460, Average Loss  0.603384, Time  0.233138
2021-09-15 05:21:08.682749 : Epoch  6, Batch    568, Loss  0.595132, Average Loss  0.605150, Time  0.238744
2021-09-15 05:21:09.055077 : Epoch  7, Batch    719, Loss  0.599534, Average Loss  0.603391, Time  0.231249
2021-09-15 05:21:10.195082 : Epoch  6, Batch    569, Loss  0.607665, Average Loss  0.605201, Time  0.239249
2021-09-15 05:21:10.590015 : Epoch  7, Batch    720, Loss  0.599573, Average Loss  0.603388, Time  0.230986
2021-09-15 05:21:11.717088 : Epoch  6, Batch    570, Loss  0.605287, Average Loss  0.605171, Time  0.237371
2021-09-15 05:21:12.128299 : Epoch  7, Batch    721, Loss  0.610995, Average Loss  0.603458, Time  0.231162
2021-09-15 05:21:13.237836 : Epoch  6, Batch    571, Loss  0.600089, Average Loss  0.605165, Time  0.239689
2021-09-15 05:21:13.667224 : Epoch  7, Batch    722, Loss  0.604321, Average Loss  0.603456, Time  0.229975
2021-09-15 05:21:14.792850 : Epoch  6, Batch    572, Loss  0.608754, Average Loss  0.605153, Time  0.242400
2021-09-15 05:21:15.193932 : Epoch  7, Batch    723, Loss  0.592561, Average Loss  0.603435, Time  0.231347
2021-09-15 05:21:16.330018 : Epoch  6, Batch    573, Loss  0.607184, Average Loss  0.605162, Time  0.241103
2021-09-15 05:21:16.723901 : Epoch  7, Batch    724, Loss  0.600469, Average Loss  0.603379, Time  0.230846
2021-09-15 05:21:17.874093 : Epoch  6, Batch    574, Loss  0.612156, Average Loss  0.605202, Time  0.239808
2021-09-15 05:21:18.271485 : Epoch  7, Batch    725, Loss  0.612287, Average Loss  0.603431, Time  0.231575
2021-09-15 05:21:19.396073 : Epoch  6, Batch    575, Loss  0.612576, Average Loss  0.605334, Time  0.239225
2021-09-15 05:21:19.810623 : Epoch  7, Batch    726, Loss  0.607029, Average Loss  0.603495, Time  0.231498
2021-09-15 05:21:20.921918 : Epoch  6, Batch    576, Loss  0.603573, Average Loss  0.605359, Time  0.241260
2021-09-15 05:21:21.359472 : Epoch  7, Batch    727, Loss  0.598104, Average Loss  0.603446, Time  0.233559
2021-09-15 05:21:22.464401 : Epoch  6, Batch    577, Loss  0.606849, Average Loss  0.605388, Time  0.239720
2021-09-15 05:21:22.884232 : Epoch  7, Batch    728, Loss  0.592649, Average Loss  0.603423, Time  0.230101
2021-09-15 05:21:24.006451 : Epoch  6, Batch    578, Loss  0.598649, Average Loss  0.605375, Time  0.242030
2021-09-15 05:21:24.400388 : Epoch  7, Batch    729, Loss  0.594286, Average Loss  0.603352, Time  0.230290
2021-09-15 05:21:25.536358 : Epoch  6, Batch    579, Loss  0.608123, Average Loss  0.605364, Time  0.239876
2021-09-15 05:21:25.938090 : Epoch  7, Batch    730, Loss  0.594458, Average Loss  0.603250, Time  0.230680
2021-09-15 05:21:27.064000 : Epoch  6, Batch    580, Loss  0.615722, Average Loss  0.605402, Time  0.239089
2021-09-15 05:21:27.484932 : Epoch  7, Batch    731, Loss  0.597267, Average Loss  0.603257, Time  0.230623
2021-09-15 05:21:28.584363 : Epoch  6, Batch    581, Loss  0.601653, Average Loss  0.605423, Time  0.238509
2021-09-15 05:21:29.021757 : Epoch  7, Batch    732, Loss  0.606191, Average Loss  0.603289, Time  0.231382
2021-09-15 05:21:30.121030 : Epoch  6, Batch    582, Loss  0.603393, Average Loss  0.605463, Time  0.241800
2021-09-15 05:21:30.552431 : Epoch  7, Batch    733, Loss  0.596166, Average Loss  0.603248, Time  0.231046
2021-09-15 05:21:31.645408 : Epoch  6, Batch    583, Loss  0.598310, Average Loss  0.605499, Time  0.239331
2021-09-15 05:21:32.081550 : Epoch  7, Batch    734, Loss  0.590678, Average Loss  0.603184, Time  0.230898
2021-09-15 05:21:33.167847 : Epoch  6, Batch    584, Loss  0.607074, Average Loss  0.605459, Time  0.239216
2021-09-15 05:21:33.615270 : Epoch  7, Batch    735, Loss  0.601943, Average Loss  0.603212, Time  0.230941
2021-09-15 05:21:34.694588 : Epoch  6, Batch    585, Loss  0.609511, Average Loss  0.605533, Time  0.239099
2021-09-15 05:21:35.139842 : Epoch  7, Batch    736, Loss  0.610374, Average Loss  0.603256, Time  0.231179
2021-09-15 05:21:36.379724 : Epoch  6, Batch    586, Loss  0.589281, Average Loss  0.605433, Time  0.259598
2021-09-15 05:21:36.670373 : Epoch  7, Batch    737, Loss  0.600367, Average Loss  0.603242, Time  0.230426
2021-09-15 05:21:37.904476 : Epoch  6, Batch    587, Loss  0.605038, Average Loss  0.605420, Time  0.239651
2021-09-15 05:21:38.191443 : Epoch  7, Batch    738, Loss  0.591766, Average Loss  0.603189, Time  0.230458
2021-09-15 05:21:39.431898 : Epoch  6, Batch    588, Loss  0.602343, Average Loss  0.605428, Time  0.240099
2021-09-15 05:21:39.723528 : Epoch  7, Batch    739, Loss  0.595395, Average Loss  0.603093, Time  0.232156
2021-09-15 05:21:40.965185 : Epoch  6, Batch    589, Loss  0.605268, Average Loss  0.605430, Time  0.242074
2021-09-15 05:21:41.256096 : Epoch  7, Batch    740, Loss  0.589640, Average Loss  0.603030, Time  0.230659
2021-09-15 05:21:42.483079 : Epoch  6, Batch    590, Loss  0.597953, Average Loss  0.605432, Time  0.239613
2021-09-15 05:21:42.786993 : Epoch  7, Batch    741, Loss  0.599301, Average Loss  0.603010, Time  0.231210
2021-09-15 05:21:44.029897 : Epoch  6, Batch    591, Loss  0.599317, Average Loss  0.605373, Time  0.240075
2021-09-15 05:21:44.328074 : Epoch  7, Batch    742, Loss  0.593476, Average Loss  0.602953, Time  0.231810
2021-09-15 05:21:45.549363 : Epoch  6, Batch    592, Loss  0.601142, Average Loss  0.605418, Time  0.238836
2021-09-15 05:21:45.872772 : Epoch  7, Batch    743, Loss  0.605064, Average Loss  0.603007, Time  0.233446
2021-09-15 05:21:47.087422 : Epoch  6, Batch    593, Loss  0.611317, Average Loss  0.605474, Time  0.242006
2021-09-15 05:21:47.422376 : Epoch  7, Batch    744, Loss  0.603439, Average Loss  0.602997, Time  0.231044
2021-09-15 05:21:48.611398 : Epoch  6, Batch    594, Loss  0.609396, Average Loss  0.605463, Time  0.239241
2021-09-15 05:21:48.969383 : Epoch  7, Batch    745, Loss  0.601823, Average Loss  0.602976, Time  0.231363
2021-09-15 05:21:50.285397 : Epoch  6, Batch    595, Loss  0.605326, Average Loss  0.605442, Time  0.259452
2021-09-15 05:21:50.505097 : Epoch  7, Batch    746, Loss  0.603873, Average Loss  0.603025, Time  0.232366
2021-09-15 05:21:51.984163 : Epoch  6, Batch    596, Loss  0.601049, Average Loss  0.605384, Time  0.262204
2021-09-15 05:21:52.051162 : Epoch  7, Batch    747, Loss  0.595974, Average Loss  0.602982, Time  0.232463
2021-09-15 05:21:53.516380 : Epoch  6, Batch    597, Loss  0.586033, Average Loss  0.605311, Time  0.240175
2021-09-15 05:21:53.593118 : Epoch  7, Batch    748, Loss  0.601993, Average Loss  0.602987, Time  0.231726
2021-09-15 05:21:55.039351 : Epoch  6, Batch    598, Loss  0.593340, Average Loss  0.605275, Time  0.240741
2021-09-15 05:21:55.161085 : Epoch  7, Batch    749, Loss  0.595940, Average Loss  0.603002, Time  0.231992
2021-09-15 05:21:56.568426 : Epoch  6, Batch    599, Loss  0.609323, Average Loss  0.605303, Time  0.242188
2021-09-15 05:21:58.099008 : Epoch  6, Batch    600, Loss  0.606793, Average Loss  0.605327, Time  0.240403
2021-09-15 05:21:59.051844 : Epoch  7, Batch    750, Loss  0.605701, Average Loss  0.602993, Time  0.269994
2021-09-15 05:21:59.620824 : Epoch  6, Batch    601, Loss  0.618323, Average Loss  0.605346, Time  0.241148
2021-09-15 05:22:00.603961 : Epoch  7, Batch    751, Loss  0.612963, Average Loss  0.602967, Time  0.249717
2021-09-15 05:22:01.146398 : Epoch  6, Batch    602, Loss  0.609619, Average Loss  0.605466, Time  0.239517
2021-09-15 05:22:02.158866 : Epoch  7, Batch    752, Loss  0.601117, Average Loss  0.602956, Time  0.233041
2021-09-15 05:22:02.663337 : Epoch  6, Batch    603, Loss  0.619134, Average Loss  0.605536, Time  0.238151
2021-09-15 05:22:03.711010 : Epoch  7, Batch    753, Loss  0.603011, Average Loss  0.602992, Time  0.231364
2021-09-15 05:22:04.195827 : Epoch  6, Batch    604, Loss  0.589830, Average Loss  0.605456, Time  0.242445
2021-09-15 05:22:05.241346 : Epoch  7, Batch    754, Loss  0.607735, Average Loss  0.603011, Time  0.231340
2021-09-15 05:22:05.718257 : Epoch  6, Batch    605, Loss  0.621385, Average Loss  0.605492, Time  0.239618
2021-09-15 05:22:06.769851 : Epoch  7, Batch    755, Loss  0.598374, Average Loss  0.602965, Time  0.231249
2021-09-15 05:22:07.249389 : Epoch  6, Batch    606, Loss  0.598159, Average Loss  0.605503, Time  0.239442
2021-09-15 05:22:08.317336 : Epoch  7, Batch    756, Loss  0.605084, Average Loss  0.603026, Time  0.232833
2021-09-15 05:22:08.770856 : Epoch  6, Batch    607, Loss  0.596163, Average Loss  0.605428, Time  0.239473
2021-09-15 05:22:09.860942 : Epoch  7, Batch    757, Loss  0.604798, Average Loss  0.603055, Time  0.231285
2021-09-15 05:22:10.290936 : Epoch  6, Batch    608, Loss  0.614617, Average Loss  0.605513, Time  0.238572
2021-09-15 05:22:11.402885 : Epoch  7, Batch    758, Loss  0.609540, Average Loss  0.603063, Time  0.232050
2021-09-15 05:22:11.808036 : Epoch  6, Batch    609, Loss  0.592920, Average Loss  0.605422, Time  0.241151
2021-09-15 05:22:12.952875 : Epoch  7, Batch    759, Loss  0.606057, Average Loss  0.603084, Time  0.232555
2021-09-15 05:22:13.328878 : Epoch  6, Batch    610, Loss  0.596855, Average Loss  0.605417, Time  0.240710
2021-09-15 05:22:14.495106 : Epoch  7, Batch    760, Loss  0.597928, Average Loss  0.603090, Time  0.232445
2021-09-15 05:22:14.853787 : Epoch  6, Batch    611, Loss  0.609293, Average Loss  0.605417, Time  0.239679
2021-09-15 05:22:16.041382 : Epoch  7, Batch    761, Loss  0.596618, Average Loss  0.603060, Time  0.231128
2021-09-15 05:22:16.370384 : Epoch  6, Batch    612, Loss  0.605040, Average Loss  0.605435, Time  0.240216
2021-09-15 05:22:17.586376 : Epoch  7, Batch    762, Loss  0.594774, Average Loss  0.603052, Time  0.232648
2021-09-15 05:22:17.877040 : Epoch  6, Batch    613, Loss  0.596352, Average Loss  0.605355, Time  0.238078
2021-09-15 05:22:19.129082 : Epoch  7, Batch    763, Loss  0.611465, Average Loss  0.603033, Time  0.231319
2021-09-15 05:22:19.388777 : Epoch  6, Batch    614, Loss  0.600560, Average Loss  0.605352, Time  0.238198
2021-09-15 05:22:20.675149 : Epoch  7, Batch    764, Loss  0.609718, Average Loss  0.603097, Time  0.232100
2021-09-15 05:22:20.900985 : Epoch  6, Batch    615, Loss  0.611016, Average Loss  0.605424, Time  0.238062
2021-09-15 05:22:22.223874 : Epoch  7, Batch    765, Loss  0.604452, Average Loss  0.603083, Time  0.231411
2021-09-15 05:22:22.434835 : Epoch  6, Batch    616, Loss  0.598375, Average Loss  0.605403, Time  0.241712
2021-09-15 05:22:23.764621 : Epoch  7, Batch    766, Loss  0.595152, Average Loss  0.603022, Time  0.231141
2021-09-15 05:22:23.953948 : Epoch  6, Batch    617, Loss  0.615998, Average Loss  0.605446, Time  0.239789
2021-09-15 05:22:25.305633 : Epoch  7, Batch    767, Loss  0.605734, Average Loss  0.603080, Time  0.231716
2021-09-15 05:22:25.475087 : Epoch  6, Batch    618, Loss  0.594334, Average Loss  0.605373, Time  0.238787
2021-09-15 05:22:26.848632 : Epoch  7, Batch    768, Loss  0.587361, Average Loss  0.603005, Time  0.231339
2021-09-15 05:22:27.015383 : Epoch  6, Batch    619, Loss  0.599891, Average Loss  0.605360, Time  0.242860
2021-09-15 05:22:28.401192 : Epoch  7, Batch    769, Loss  0.602816, Average Loss  0.602979, Time  0.231483
2021-09-15 05:22:28.534384 : Epoch  6, Batch    620, Loss  0.598234, Average Loss  0.605294, Time  0.238924
2021-09-15 05:22:29.942073 : Epoch  7, Batch    770, Loss  0.605028, Average Loss  0.602979, Time  0.231878
2021-09-15 05:22:30.180677 : Epoch  6, Batch    621, Loss  0.604381, Average Loss  0.605308, Time  0.238983
2021-09-15 05:22:31.482219 : Epoch  7, Batch    771, Loss  0.619276, Average Loss  0.603019, Time  0.231644
2021-09-15 05:22:31.725824 : Epoch  6, Batch    622, Loss  0.598009, Average Loss  0.605337, Time  0.241668
2021-09-15 05:22:33.022087 : Epoch  7, Batch    772, Loss  0.608218, Average Loss  0.603080, Time  0.232039
2021-09-15 05:22:33.254784 : Epoch  6, Batch    623, Loss  0.589807, Average Loss  0.605203, Time  0.238545
2021-09-15 05:22:34.568110 : Epoch  7, Batch    773, Loss  0.602633, Average Loss  0.603071, Time  0.231936
2021-09-15 05:22:34.768743 : Epoch  6, Batch    624, Loss  0.610654, Average Loss  0.605213, Time  0.237858
2021-09-15 05:22:36.103285 : Epoch  7, Batch    774, Loss  0.593634, Average Loss  0.602963, Time  0.231343
2021-09-15 05:22:36.282923 : Epoch  6, Batch    625, Loss  0.606172, Average Loss  0.605215, Time  0.240662
2021-09-15 05:22:37.647374 : Epoch  7, Batch    775, Loss  0.609321, Average Loss  0.602998, Time  0.231382
2021-09-15 05:22:37.796986 : Epoch  6, Batch    626, Loss  0.624683, Average Loss  0.605305, Time  0.240699
2021-09-15 05:22:39.178356 : Epoch  7, Batch    776, Loss  0.590580, Average Loss  0.602966, Time  0.231560
2021-09-15 05:22:39.313772 : Epoch  6, Batch    627, Loss  0.613039, Average Loss  0.605401, Time  0.240173
2021-09-15 05:22:40.716148 : Epoch  7, Batch    777, Loss  0.603370, Average Loss  0.603008, Time  0.231051
2021-09-15 05:22:40.835928 : Epoch  6, Batch    628, Loss  0.620559, Average Loss  0.605463, Time  0.238545
2021-09-15 05:22:42.255560 : Epoch  7, Batch    778, Loss  0.595985, Average Loss  0.602976, Time  0.231024
2021-09-15 05:22:42.522505 : Epoch  6, Batch    629, Loss  0.621166, Average Loss  0.605512, Time  0.258478
2021-09-15 05:22:44.189828 : Epoch  6, Batch    630, Loss  0.609937, Average Loss  0.605496, Time  0.257603
2021-09-15 05:22:45.855048 : Epoch  6, Batch    631, Loss  0.608414, Average Loss  0.605542, Time  0.239252
2021-09-15 05:22:47.548026 : Epoch  6, Batch    632, Loss  0.608666, Average Loss  0.605603, Time  0.258335
2021-09-15 05:22:49.228093 : Epoch  6, Batch    633, Loss  0.606680, Average Loss  0.605618, Time  0.257431
2021-09-15 05:22:50.749108 : Epoch  6, Batch    634, Loss  0.599714, Average Loss  0.605562, Time  0.239077
2021-09-15 05:22:52.423419 : Epoch  6, Batch    635, Loss  0.607807, Average Loss  0.605584, Time  0.260199
2021-09-15 05:22:56.467792 : Epoch  6, Batch    636, Loss  0.605926, Average Loss  0.605570, Time  0.289486
2021-09-15 05:22:58.158528 : Epoch  6, Batch    637, Loss  0.599150, Average Loss  0.605574, Time  0.266171
2021-09-15 05:22:59.841942 : Epoch  6, Batch    638, Loss  0.601410, Average Loss  0.605541, Time  0.257803
2021-09-15 05:23:01.366927 : Epoch  6, Batch    639, Loss  0.610308, Average Loss  0.605567, Time  0.237980
2021-09-15 05:23:02.904903 : Epoch  6, Batch    640, Loss  0.602208, Average Loss  0.605527, Time  0.240443
2021-09-15 05:23:04.437459 : Epoch  6, Batch    641, Loss  0.607530, Average Loss  0.605510, Time  0.240128
2021-09-15 05:23:06.133033 : Epoch  6, Batch    642, Loss  0.607929, Average Loss  0.605557, Time  0.277040
2021-09-15 05:23:07.656071 : Epoch  6, Batch    643, Loss  0.624945, Average Loss  0.605671, Time  0.237365
2021-09-15 05:23:09.183752 : Epoch  6, Batch    644, Loss  0.611805, Average Loss  0.605729, Time  0.241875
2021-09-15 05:23:10.710043 : Epoch  6, Batch    645, Loss  0.607670, Average Loss  0.605752, Time  0.239667
2021-09-15 05:23:12.385910 : Epoch  6, Batch    646, Loss  0.614836, Average Loss  0.605808, Time  0.257112
2021-09-15 05:23:14.071965 : Epoch  6, Batch    647, Loss  0.599590, Average Loss  0.605809, Time  0.258016
2021-09-15 05:23:15.771329 : Epoch  6, Batch    648, Loss  0.624702, Average Loss  0.605963, Time  0.261316
2021-09-15 05:23:17.305389 : Epoch  6, Batch    649, Loss  0.614524, Average Loss  0.606071, Time  0.240860
2021-09-15 05:23:18.840665 : Epoch  6, Batch    650, Loss  0.610295, Average Loss  0.606111, Time  0.247697
2021-09-15 05:23:20.510990 : Epoch  6, Batch    651, Loss  0.605003, Average Loss  0.606116, Time  0.256461
2021-09-15 05:23:22.047379 : Epoch  6, Batch    652, Loss  0.606676, Average Loss  0.606082, Time  0.255897
2021-09-15 05:23:23.584327 : Epoch  6, Batch    653, Loss  0.603725, Average Loss  0.605971, Time  0.255682
2021-09-15 05:23:25.279971 : Epoch  6, Batch    654, Loss  0.611249, Average Loss  0.606033, Time  0.261291
2021-09-15 05:23:26.812276 : Epoch  6, Batch    655, Loss  0.596113, Average Loss  0.606002, Time  0.241663
2021-09-15 05:23:28.346864 : Epoch  6, Batch    656, Loss  0.598073, Average Loss  0.605965, Time  0.240050
2021-09-15 05:23:29.863875 : Epoch  6, Batch    657, Loss  0.598640, Average Loss  0.605947, Time  0.239376
2021-09-15 05:23:31.396187 : Epoch  6, Batch    658, Loss  0.596764, Average Loss  0.605922, Time  0.241468
2021-09-15 05:23:32.915782 : Epoch  6, Batch    659, Loss  0.614127, Average Loss  0.605932, Time  0.238094
2021-09-15 05:23:34.434379 : Epoch  6, Batch    660, Loss  0.595984, Average Loss  0.605887, Time  0.240839
2021-09-15 05:23:35.938442 : Epoch  6, Batch    661, Loss  0.603199, Average Loss  0.605941, Time  0.236035
2021-09-15 05:23:37.629908 : Epoch  6, Batch    662, Loss  0.607688, Average Loss  0.605974, Time  0.261482
2021-09-15 05:23:39.315425 : Epoch  6, Batch    663, Loss  0.604720, Average Loss  0.605970, Time  0.262039
2021-09-15 05:23:40.326708 : CheckPoint: Validation Loss  0.00025557, Best Loss  0.00024571
2021-09-15 05:23:40.991482 : Epoch  6, Batch    664, Loss  0.612370, Average Loss  0.606000, Time  0.256567
2021-09-15 05:23:41.878496 : Epoch  7, Batch    779, Loss  0.586573, Average Loss  0.602886, Time  0.231542
2021-09-15 05:23:42.529061 : Epoch  6, Batch    665, Loss  0.607055, Average Loss  0.605993, Time  0.239460
2021-09-15 05:23:43.435044 : Epoch  7, Batch    780, Loss  0.589586, Average Loss  0.602804, Time  0.232769
2021-09-15 05:23:44.984902 : Epoch  7, Batch    781, Loss  0.613257, Average Loss  0.602845, Time  0.231981
2021-09-15 05:23:46.539301 : Epoch  7, Batch    782, Loss  0.597978, Average Loss  0.602799, Time  0.231227
2021-09-15 05:23:48.099080 : Epoch  7, Batch    783, Loss  0.599295, Average Loss  0.602790, Time  0.231775
2021-09-15 05:23:49.644896 : Epoch  7, Batch    784, Loss  0.593024, Average Loss  0.602722, Time  0.231257
2021-09-15 05:23:51.196668 : Epoch  7, Batch    785, Loss  0.599948, Average Loss  0.602742, Time  0.231427
2021-09-15 05:23:52.743792 : Epoch  7, Batch    786, Loss  0.610524, Average Loss  0.602734, Time  0.231333
2021-09-15 05:23:54.280361 : Epoch  7, Batch    787, Loss  0.606856, Average Loss  0.602701, Time  0.230733
2021-09-15 05:23:54.308100 : Saving Model after 7-th Epoch.
2021-09-15 05:23:55.335897 : Epoch Finished.
2021-09-15 05:23:57.777258 : Batch Shuffled
2021-09-15 05:23:59.354203 : Epoch  8, Batch      1, Loss  0.607042, Average Loss  0.602695, Time  0.269840
2021-09-15 05:24:00.917040 : Epoch  8, Batch      2, Loss  0.614965, Average Loss  0.602764, Time  0.247389
2021-09-15 05:24:02.462033 : Epoch  8, Batch      3, Loss  0.602464, Average Loss  0.602788, Time  0.230637
2021-09-15 05:24:04.007748 : Epoch  8, Batch      4, Loss  0.586961, Average Loss  0.602688, Time  0.231163
2021-09-15 05:24:05.560766 : Epoch  8, Batch      5, Loss  0.612086, Average Loss  0.602725, Time  0.231012
2021-09-15 05:24:07.109304 : Epoch  8, Batch      6, Loss  0.618203, Average Loss  0.602799, Time  0.231101
2021-09-15 05:24:08.660567 : Epoch  8, Batch      7, Loss  0.599474, Average Loss  0.602749, Time  0.231908
2021-09-15 05:24:10.209419 : Epoch  8, Batch      8, Loss  0.595225, Average Loss  0.602762, Time  0.231590
2021-09-15 05:24:11.765907 : Epoch  8, Batch      9, Loss  0.605849, Average Loss  0.602793, Time  0.231979
2021-09-15 05:24:13.315304 : Epoch  8, Batch     10, Loss  0.609417, Average Loss  0.602873, Time  0.231343
2021-09-15 05:24:14.880341 : Epoch  8, Batch     11, Loss  0.607448, Average Loss  0.602933, Time  0.231059
2021-09-15 05:24:16.428302 : Epoch  8, Batch     12, Loss  0.599720, Average Loss  0.602952, Time  0.231108
2021-09-15 05:24:17.993384 : Epoch  8, Batch     13, Loss  0.608344, Average Loss  0.602919, Time  0.232499
2021-09-15 05:24:19.543588 : Epoch  8, Batch     14, Loss  0.593807, Average Loss  0.602882, Time  0.232091
2021-09-15 05:24:21.084801 : Epoch  8, Batch     15, Loss  0.603065, Average Loss  0.602819, Time  0.231772
2021-09-15 05:24:22.640792 : Epoch  8, Batch     16, Loss  0.618228, Average Loss  0.602875, Time  0.231265
2021-09-15 05:24:24.186363 : Epoch  8, Batch     17, Loss  0.596547, Average Loss  0.602835, Time  0.231800
2021-09-15 05:24:25.731310 : Epoch  8, Batch     18, Loss  0.596039, Average Loss  0.602808, Time  0.231883
2021-09-15 05:24:27.271548 : Epoch  8, Batch     19, Loss  0.614192, Average Loss  0.602902, Time  0.231137
2021-09-15 05:24:28.819270 : Epoch  8, Batch     20, Loss  0.603090, Average Loss  0.602870, Time  0.232448
2021-09-15 05:24:30.363999 : Epoch  8, Batch     21, Loss  0.609741, Average Loss  0.602875, Time  0.230871
2021-09-15 05:24:31.915397 : Epoch  8, Batch     22, Loss  0.593364, Average Loss  0.602715, Time  0.230884
2021-09-15 05:24:33.476766 : Epoch  8, Batch     23, Loss  0.601862, Average Loss  0.602697, Time  0.232278
2021-09-15 05:24:35.028846 : Epoch  8, Batch     24, Loss  0.618993, Average Loss  0.602791, Time  0.231771
2021-09-15 05:24:36.586379 : Epoch  8, Batch     25, Loss  0.602881, Average Loss  0.602710, Time  0.232670
2021-09-15 05:24:38.151360 : Epoch  8, Batch     26, Loss  0.619349, Average Loss  0.602814, Time  0.231468
2021-09-15 05:24:39.447712 : CheckPoint: Validation Loss  0.00025349, Best Loss  0.00024341
2021-09-15 05:24:39.710115 : Epoch  8, Batch     27, Loss  0.608716, Average Loss  0.602848, Time  0.231884
2021-09-15 05:24:40.975916 : Epoch  6, Batch    666, Loss  0.601807, Average Loss  0.606001, Time  0.240923
2021-09-15 05:24:41.271194 : Epoch  8, Batch     28, Loss  0.607017, Average Loss  0.602896, Time  0.231965
2021-09-15 05:24:42.511910 : Epoch  6, Batch    667, Loss  0.599334, Average Loss  0.605973, Time  0.241737
2021-09-15 05:24:42.824495 : Epoch  8, Batch     29, Loss  0.596904, Average Loss  0.602871, Time  0.231325
2021-09-15 05:24:44.048056 : Epoch  6, Batch    668, Loss  0.602314, Average Loss  0.605956, Time  0.241210
2021-09-15 05:24:44.375950 : Epoch  8, Batch     30, Loss  0.602851, Average Loss  0.602908, Time  0.231422
2021-09-15 05:24:45.567787 : Epoch  6, Batch    669, Loss  0.604627, Average Loss  0.605991, Time  0.239094
2021-09-15 05:24:45.932113 : Epoch  8, Batch     31, Loss  0.587479, Average Loss  0.602842, Time  0.231640
2021-09-15 05:24:47.265916 : Epoch  6, Batch    670, Loss  0.594293, Average Loss  0.605926, Time  0.258671
2021-09-15 05:24:47.489346 : Epoch  8, Batch     32, Loss  0.600027, Average Loss  0.602815, Time  0.231086
2021-09-15 05:24:48.946777 : Epoch  6, Batch    671, Loss  0.604006, Average Loss  0.605892, Time  0.260083
2021-09-15 05:24:49.039233 : Epoch  8, Batch     33, Loss  0.607497, Average Loss  0.602794, Time  0.231174
2021-09-15 05:24:50.591321 : Epoch  8, Batch     34, Loss  0.602029, Average Loss  0.602800, Time  0.231422
2021-09-15 05:24:50.629914 : Epoch  6, Batch    672, Loss  0.607824, Average Loss  0.605945, Time  0.261031
2021-09-15 05:24:52.154643 : Epoch  8, Batch     35, Loss  0.597755, Average Loss  0.602742, Time  0.231062
2021-09-15 05:24:52.327843 : Epoch  6, Batch    673, Loss  0.591894, Average Loss  0.605888, Time  0.259837
2021-09-15 05:24:53.714857 : Epoch  8, Batch     36, Loss  0.609253, Average Loss  0.602740, Time  0.231262
2021-09-15 05:24:54.009772 : Epoch  6, Batch    674, Loss  0.609191, Average Loss  0.605946, Time  0.260532
2021-09-15 05:24:55.268098 : Epoch  8, Batch     37, Loss  0.590128, Average Loss  0.602594, Time  0.231533
2021-09-15 05:24:55.684986 : Epoch  6, Batch    675, Loss  0.607046, Average Loss  0.605944, Time  0.258893
2021-09-15 05:24:56.833071 : Epoch  8, Batch     38, Loss  0.613759, Average Loss  0.602607, Time  0.231251
2021-09-15 05:24:57.353014 : Epoch  6, Batch    676, Loss  0.603504, Average Loss  0.605891, Time  0.256825
2021-09-15 05:24:58.414504 : Epoch  8, Batch     39, Loss  0.599557, Average Loss  0.602615, Time  0.231283
2021-09-15 05:24:59.029876 : Epoch  6, Batch    677, Loss  0.598327, Average Loss  0.605803, Time  0.260281
2021-09-15 05:24:59.973085 : Epoch  8, Batch     40, Loss  0.594020, Average Loss  0.602561, Time  0.231574
2021-09-15 05:25:00.726003 : Epoch  6, Batch    678, Loss  0.609700, Average Loss  0.605853, Time  0.259336
2021-09-15 05:25:01.520035 : Epoch  8, Batch     41, Loss  0.606256, Average Loss  0.602541, Time  0.231915
2021-09-15 05:25:02.406190 : Epoch  6, Batch    679, Loss  0.599892, Average Loss  0.605850, Time  0.258621
2021-09-15 05:25:03.056130 : Epoch  8, Batch     42, Loss  0.605700, Average Loss  0.602571, Time  0.229708
2021-09-15 05:25:04.091288 : Epoch  6, Batch    680, Loss  0.602602, Average Loss  0.605829, Time  0.256729
2021-09-15 05:25:04.604307 : Epoch  8, Batch     43, Loss  0.610044, Average Loss  0.602608, Time  0.230428
2021-09-15 05:25:05.617858 : Epoch  6, Batch    681, Loss  0.597119, Average Loss  0.605830, Time  0.239357
2021-09-15 05:25:06.137204 : Epoch  8, Batch     44, Loss  0.601992, Average Loss  0.602636, Time  0.230059
2021-09-15 05:25:07.164819 : Epoch  6, Batch    682, Loss  0.613161, Average Loss  0.605812, Time  0.241100
2021-09-15 05:25:07.684155 : Epoch  8, Batch     45, Loss  0.605271, Average Loss  0.602662, Time  0.230269
2021-09-15 05:25:08.698997 : Epoch  6, Batch    683, Loss  0.606865, Average Loss  0.605813, Time  0.239413
2021-09-15 05:25:09.223136 : Epoch  8, Batch     46, Loss  0.603712, Average Loss  0.602710, Time  0.231685
2021-09-15 05:25:10.221790 : Epoch  6, Batch    684, Loss  0.602967, Average Loss  0.605802, Time  0.238853
2021-09-15 05:25:10.762158 : Epoch  8, Batch     47, Loss  0.610034, Average Loss  0.602754, Time  0.230797
2021-09-15 05:25:11.753003 : Epoch  6, Batch    685, Loss  0.603260, Average Loss  0.605748, Time  0.240642
2021-09-15 05:25:12.321204 : Epoch  8, Batch     48, Loss  0.602992, Average Loss  0.602844, Time  0.233022
2021-09-15 05:25:13.281513 : Epoch  6, Batch    686, Loss  0.603070, Average Loss  0.605746, Time  0.239089
2021-09-15 05:25:13.873166 : Epoch  8, Batch     49, Loss  0.603879, Average Loss  0.602875, Time  0.230906
2021-09-15 05:25:14.872226 : Epoch  6, Batch    687, Loss  0.606669, Average Loss  0.605764, Time  0.241976
2021-09-15 05:25:15.430853 : Epoch  8, Batch     50, Loss  0.589642, Average Loss  0.602718, Time  0.230837
2021-09-15 05:25:16.459297 : Epoch  6, Batch    688, Loss  0.607121, Average Loss  0.605785, Time  0.239602
2021-09-15 05:25:16.982049 : Epoch  8, Batch     51, Loss  0.599165, Average Loss  0.602761, Time  0.230873
2021-09-15 05:25:18.024576 : Epoch  6, Batch    689, Loss  0.607982, Average Loss  0.605756, Time  0.236450
2021-09-15 05:25:18.531904 : Epoch  8, Batch     52, Loss  0.602317, Average Loss  0.602752, Time  0.231112
2021-09-15 05:25:19.573162 : Epoch  6, Batch    690, Loss  0.604285, Average Loss  0.605754, Time  0.236515
2021-09-15 05:25:20.086798 : Epoch  8, Batch     53, Loss  0.600727, Average Loss  0.602735, Time  0.230627
2021-09-15 05:25:21.128929 : Epoch  6, Batch    691, Loss  0.595528, Average Loss  0.605718, Time  0.237291
2021-09-15 05:25:21.644011 : Epoch  8, Batch     54, Loss  0.601903, Average Loss  0.602758, Time  0.236156
2021-09-15 05:25:22.720892 : Epoch  6, Batch    692, Loss  0.605085, Average Loss  0.605788, Time  0.240941
2021-09-15 05:25:23.193249 : Epoch  8, Batch     55, Loss  0.614499, Average Loss  0.602843, Time  0.230484
2021-09-15 05:25:24.246932 : Epoch  6, Batch    693, Loss  0.610336, Average Loss  0.605822, Time  0.238323
2021-09-15 05:25:24.742233 : Epoch  8, Batch     56, Loss  0.617472, Average Loss  0.602919, Time  0.231395
2021-09-15 05:25:25.781363 : Epoch  6, Batch    694, Loss  0.600646, Average Loss  0.605807, Time  0.237804
2021-09-15 05:25:26.286232 : Epoch  8, Batch     57, Loss  0.585958, Average Loss  0.602823, Time  0.231040
2021-09-15 05:25:27.306106 : Epoch  6, Batch    695, Loss  0.591326, Average Loss  0.605745, Time  0.240125
2021-09-15 05:25:27.830751 : Epoch  8, Batch     58, Loss  0.608717, Average Loss  0.602883, Time  0.231054
2021-09-15 05:25:28.824861 : Epoch  6, Batch    696, Loss  0.595356, Average Loss  0.605649, Time  0.239567
2021-09-15 05:25:29.389980 : Epoch  8, Batch     59, Loss  0.605540, Average Loss  0.602920, Time  0.230763
2021-09-15 05:25:29.929523 : CheckPoint: Validation Loss  0.00030590, Best Loss  0.00029626
2021-09-15 05:25:30.374254 : Epoch  6, Batch    697, Loss  0.593286, Average Loss  0.605646, Time  0.244227
2021-09-15 05:25:30.945741 : Epoch  8, Batch     60, Loss  0.597076, Average Loss  0.602901, Time  0.230947
2021-09-15 05:25:31.925863 : Epoch  6, Batch    698, Loss  0.607192, Average Loss  0.605702, Time  0.236079
2021-09-15 05:25:32.504755 : Epoch  8, Batch     61, Loss  0.602813, Average Loss  0.602853, Time  0.231116
2021-09-15 05:25:32.922497 : Epoch  2, Batch    145, Loss  0.866603, Average Loss  0.872116, Time  0.275782
2021-09-15 05:25:33.456772 : Epoch  6, Batch    699, Loss  0.614353, Average Loss  0.605748, Time  0.239480
2021-09-15 05:25:34.072109 : Epoch  8, Batch     62, Loss  0.593155, Average Loss  0.602746, Time  0.231876
2021-09-15 05:25:34.977578 : Epoch  6, Batch    700, Loss  0.603786, Average Loss  0.605815, Time  0.238198
2021-09-15 05:25:35.649271 : Epoch  8, Batch     63, Loss  0.610414, Average Loss  0.602833, Time  0.230674
2021-09-15 05:25:35.915071 : Epoch  2, Batch    146, Loss  0.865116, Average Loss  0.872168, Time  0.265748
2021-09-15 05:25:36.545247 : Epoch  6, Batch    701, Loss  0.598862, Average Loss  0.605840, Time  0.239153
2021-09-15 05:25:37.218456 : Epoch  8, Batch     64, Loss  0.602070, Average Loss  0.602826, Time  0.230311
2021-09-15 05:25:38.233020 : Epoch  6, Batch    702, Loss  0.604725, Average Loss  0.605862, Time  0.258623
2021-09-15 05:25:38.777909 : Epoch  8, Batch     65, Loss  0.611970, Average Loss  0.602893, Time  0.230741
2021-09-15 05:25:38.915360 : Epoch  2, Batch    147, Loss  0.859368, Average Loss  0.872032, Time  0.265916
2021-09-15 05:25:39.924365 : Epoch  6, Batch    703, Loss  0.598856, Average Loss  0.605789, Time  0.258326
2021-09-15 05:25:40.343561 : Epoch  8, Batch     66, Loss  0.605173, Average Loss  0.602947, Time  0.231325
2021-09-15 05:25:41.446373 : Epoch  6, Batch    704, Loss  0.602918, Average Loss  0.605788, Time  0.239446
2021-09-15 05:25:41.895516 : Epoch  8, Batch     67, Loss  0.607734, Average Loss  0.602947, Time  0.230679
2021-09-15 05:25:41.918373 : Epoch  2, Batch    148, Loss  0.881183, Average Loss  0.872053, Time  0.265866
2021-09-15 05:25:42.965053 : Epoch  6, Batch    705, Loss  0.600634, Average Loss  0.605741, Time  0.239853
2021-09-15 05:25:43.437116 : Epoch  8, Batch     68, Loss  0.603293, Average Loss  0.602985, Time  0.230441
2021-09-15 05:25:44.494313 : Epoch  6, Batch    706, Loss  0.608098, Average Loss  0.605776, Time  0.239709
2021-09-15 05:25:44.935480 : Epoch  2, Batch    149, Loss  0.891651, Average Loss  0.872189, Time  0.264975
2021-09-15 05:25:44.981557 : Epoch  8, Batch     69, Loss  0.598854, Average Loss  0.602992, Time  0.230907
2021-09-15 05:25:46.035157 : Epoch  6, Batch    707, Loss  0.599491, Average Loss  0.605688, Time  0.238796
2021-09-15 05:25:46.546242 : Epoch  8, Batch     70, Loss  0.592833, Average Loss  0.602875, Time  0.230793
2021-09-15 05:25:47.559303 : Epoch  6, Batch    708, Loss  0.601383, Average Loss  0.605693, Time  0.238710
2021-09-15 05:25:47.924215 : Epoch  2, Batch    150, Loss  0.884366, Average Loss  0.872043, Time  0.263872
2021-09-15 05:25:48.094065 : Epoch  8, Batch     71, Loss  0.601859, Average Loss  0.602867, Time  0.230533
2021-09-15 05:25:49.093797 : Epoch  6, Batch    709, Loss  0.605063, Average Loss  0.605696, Time  0.239036
2021-09-15 05:25:49.643587 : Epoch  8, Batch     72, Loss  0.589723, Average Loss  0.602808, Time  0.230689
2021-09-15 05:25:50.625484 : Epoch  6, Batch    710, Loss  0.604896, Average Loss  0.605706, Time  0.240490
2021-09-15 05:25:50.902475 : Epoch  2, Batch    151, Loss  0.859869, Average Loss  0.872064, Time  0.265023
2021-09-15 05:25:51.212183 : Epoch  8, Batch     73, Loss  0.604663, Average Loss  0.602776, Time  0.230607
2021-09-15 05:25:52.157575 : Epoch  6, Batch    711, Loss  0.604520, Average Loss  0.605686, Time  0.240256
2021-09-15 05:25:52.757296 : Epoch  8, Batch     74, Loss  0.605778, Average Loss  0.602820, Time  0.231197
2021-09-15 05:25:53.676384 : Epoch  6, Batch    712, Loss  0.594052, Average Loss  0.605739, Time  0.239111
2021-09-15 05:25:53.888549 : Epoch  2, Batch    152, Loss  0.875675, Average Loss  0.872050, Time  0.265140
2021-09-15 05:25:54.313822 : Epoch  8, Batch     75, Loss  0.603529, Average Loss  0.602849, Time  0.234686
2021-09-15 05:25:55.226945 : Epoch  6, Batch    713, Loss  0.604867, Average Loss  0.605765, Time  0.237239
2021-09-15 05:25:55.875675 : Epoch  8, Batch     76, Loss  0.609405, Average Loss  0.602897, Time  0.231131
2021-09-15 05:25:56.838862 : Epoch  6, Batch    714, Loss  0.597979, Average Loss  0.605696, Time  0.284964
2021-09-15 05:25:56.861511 : Epoch  2, Batch    153, Loss  0.873660, Average Loss  0.872001, Time  0.264411
2021-09-15 05:25:57.481669 : Epoch  8, Batch     77, Loss  0.609010, Average Loss  0.602969, Time  0.231256
2021-09-15 05:25:58.379866 : Epoch  6, Batch    715, Loss  0.597556, Average Loss  0.605597, Time  0.239340
2021-09-15 05:25:59.043107 : Epoch  8, Batch     78, Loss  0.607973, Average Loss  0.603037, Time  0.231967
2021-09-15 05:25:59.864616 : Epoch  2, Batch    154, Loss  0.877667, Average Loss  0.872077, Time  0.265461
2021-09-15 05:25:59.917916 : Epoch  6, Batch    716, Loss  0.594603, Average Loss  0.605457, Time  0.239680
2021-09-15 05:26:00.595193 : Epoch  8, Batch     79, Loss  0.598757, Average Loss  0.603079, Time  0.231586
2021-09-15 05:26:01.444850 : Epoch  6, Batch    717, Loss  0.608222, Average Loss  0.605405, Time  0.241205
2021-09-15 05:26:02.154426 : Epoch  8, Batch     80, Loss  0.606894, Average Loss  0.603088, Time  0.231112
2021-09-15 05:26:02.882668 : Epoch  2, Batch    155, Loss  0.877298, Average Loss  0.872161, Time  0.265034
2021-09-15 05:26:02.969549 : Epoch  6, Batch    718, Loss  0.593086, Average Loss  0.605276, Time  0.238219
2021-09-15 05:26:03.711031 : Epoch  8, Batch     81, Loss  0.593773, Average Loss  0.603053, Time  0.231789
2021-09-15 05:26:04.489387 : Epoch  6, Batch    719, Loss  0.595616, Average Loss  0.605187, Time  0.238188
2021-09-15 05:26:05.274677 : Epoch  8, Batch     82, Loss  0.594049, Average Loss  0.603019, Time  0.231427
2021-09-15 05:26:05.874451 : Epoch  2, Batch    156, Loss  0.885095, Average Loss  0.872236, Time  0.264612
2021-09-15 05:26:06.022654 : Epoch  6, Batch    720, Loss  0.599877, Average Loss  0.605082, Time  0.239718
2021-09-15 05:26:06.836086 : Epoch  8, Batch     83, Loss  0.595178, Average Loss  0.603008, Time  0.231248
2021-09-15 05:26:07.545586 : Epoch  6, Batch    721, Loss  0.601205, Average Loss  0.605088, Time  0.237970
2021-09-15 05:26:08.391696 : Epoch  8, Batch     84, Loss  0.620590, Average Loss  0.603122, Time  0.231256
2021-09-15 05:26:08.859921 : Epoch  2, Batch    157, Loss  0.875706, Average Loss  0.872291, Time  0.264301
2021-09-15 05:26:09.075825 : Epoch  6, Batch    722, Loss  0.595836, Average Loss  0.604989, Time  0.241316
2021-09-15 05:26:09.948408 : Epoch  8, Batch     85, Loss  0.598169, Average Loss  0.603059, Time  0.231153
2021-09-15 05:26:10.601980 : Epoch  6, Batch    723, Loss  0.604988, Average Loss  0.604978, Time  0.239515
2021-09-15 05:26:11.514690 : Epoch  8, Batch     86, Loss  0.602177, Average Loss  0.603017, Time  0.232847
2021-09-15 05:26:11.834166 : Epoch  2, Batch    158, Loss  0.865201, Average Loss  0.872304, Time  0.264797
2021-09-15 05:26:12.165918 : Epoch  6, Batch    724, Loss  0.613867, Average Loss  0.604933, Time  0.237802
2021-09-15 05:26:13.070186 : Epoch  8, Batch     87, Loss  0.601002, Average Loss  0.602981, Time  0.231583
2021-09-15 05:26:13.717198 : Epoch  6, Batch    725, Loss  0.604260, Average Loss  0.604824, Time  0.240816
2021-09-15 05:26:14.627423 : Epoch  8, Batch     88, Loss  0.601551, Average Loss  0.603001, Time  0.230948
2021-09-15 05:26:14.822095 : Epoch  2, Batch    159, Loss  0.852449, Average Loss  0.872229, Time  0.264692
2021-09-15 05:26:15.266780 : Epoch  6, Batch    726, Loss  0.602072, Average Loss  0.604796, Time  0.240812
2021-09-15 05:26:16.184376 : Epoch  8, Batch     89, Loss  0.594836, Average Loss  0.602904, Time  0.233112
2021-09-15 05:26:16.780389 : Epoch  6, Batch    727, Loss  0.610267, Average Loss  0.604754, Time  0.238270
2021-09-15 05:26:17.737157 : Epoch  8, Batch     90, Loss  0.592520, Average Loss  0.602805, Time  0.231322
2021-09-15 05:26:17.813166 : Epoch  2, Batch    160, Loss  0.869381, Average Loss  0.872220, Time  0.277380
2021-09-15 05:26:18.314819 : Epoch  6, Batch    728, Loss  0.615550, Average Loss  0.604781, Time  0.242233
2021-09-15 05:26:19.287329 : Epoch  8, Batch     91, Loss  0.609993, Average Loss  0.602874, Time  0.232184
2021-09-15 05:26:19.850477 : Epoch  6, Batch    729, Loss  0.605678, Average Loss  0.604752, Time  0.241417
2021-09-15 05:26:20.809732 : Epoch  2, Batch    161, Loss  0.855782, Average Loss  0.872261, Time  0.264879
2021-09-15 05:26:21.383798 : Epoch  6, Batch    730, Loss  0.608633, Average Loss  0.604737, Time  0.239197
2021-09-15 05:26:22.939401 : Epoch  6, Batch    731, Loss  0.611842, Average Loss  0.604723, Time  0.239415
2021-09-15 05:26:23.805075 : Epoch  2, Batch    162, Loss  0.860285, Average Loss  0.872182, Time  0.265530
2021-09-15 05:26:24.464316 : Epoch  6, Batch    732, Loss  0.615118, Average Loss  0.604768, Time  0.238423
2021-09-15 05:26:25.984082 : Epoch  6, Batch    733, Loss  0.598927, Average Loss  0.604774, Time  0.240510
2021-09-15 05:26:26.820316 : Epoch  2, Batch    163, Loss  0.837625, Average Loss  0.872070, Time  0.264925
2021-09-15 05:26:27.508034 : Epoch  6, Batch    734, Loss  0.600759, Average Loss  0.604730, Time  0.238407
2021-09-15 05:26:29.054021 : Epoch  6, Batch    735, Loss  0.608416, Average Loss  0.604751, Time  0.242830
2021-09-15 05:26:29.817579 : Epoch  2, Batch    164, Loss  0.890098, Average Loss  0.872211, Time  0.264080
2021-09-15 05:26:32.815776 : Epoch  2, Batch    165, Loss  0.880674, Average Loss  0.872184, Time  0.265983
2021-09-15 05:26:32.979352 : Epoch  6, Batch    736, Loss  0.607625, Average Loss  0.604756, Time  0.271921
2021-09-15 05:26:34.501916 : Epoch  6, Batch    737, Loss  0.596437, Average Loss  0.604711, Time  0.252443
2021-09-15 05:26:35.804132 : Epoch  2, Batch    166, Loss  0.845300, Average Loss  0.872087, Time  0.265104
2021-09-15 05:26:36.038233 : Epoch  6, Batch    738, Loss  0.601133, Average Loss  0.604630, Time  0.241225
2021-09-15 05:26:37.568440 : Epoch  6, Batch    739, Loss  0.603665, Average Loss  0.604622, Time  0.238948
2021-09-15 05:26:38.815760 : Epoch  2, Batch    167, Loss  0.888746, Average Loss  0.872194, Time  0.266817
2021-09-15 05:26:39.099380 : Epoch  6, Batch    740, Loss  0.592087, Average Loss  0.604550, Time  0.238980
2021-09-15 05:26:40.638042 : Epoch  6, Batch    741, Loss  0.607602, Average Loss  0.604598, Time  0.240672
2021-09-15 05:26:41.841233 : Epoch  2, Batch    168, Loss  0.883586, Average Loss  0.872195, Time  0.266596
2021-09-15 05:26:42.318061 : Epoch  6, Batch    742, Loss  0.613396, Average Loss  0.604619, Time  0.258365
2021-09-15 05:26:43.826555 : Epoch  6, Batch    743, Loss  0.601914, Average Loss  0.604580, Time  0.238413
2021-09-15 05:26:44.840575 : Epoch  2, Batch    169, Loss  0.870177, Average Loss  0.872142, Time  0.265013
2021-09-15 05:26:45.348110 : Epoch  6, Batch    744, Loss  0.604961, Average Loss  0.604635, Time  0.239006
2021-09-15 05:26:46.879457 : Epoch  6, Batch    745, Loss  0.594587, Average Loss  0.604542, Time  0.242186
2021-09-15 05:26:47.836257 : Epoch  2, Batch    170, Loss  0.884178, Average Loss  0.872226, Time  0.265242
2021-09-15 05:26:48.404671 : Epoch  6, Batch    746, Loss  0.600530, Average Loss  0.604530, Time  0.238219
2021-09-15 05:26:49.954499 : Epoch  6, Batch    747, Loss  0.598435, Average Loss  0.604500, Time  0.240349
2021-09-15 05:26:50.837613 : Epoch  2, Batch    171, Loss  0.862078, Average Loss  0.872195, Time  0.265481
2021-09-15 05:26:51.492594 : Epoch  6, Batch    748, Loss  0.595523, Average Loss  0.604446, Time  0.238730
2021-09-15 05:26:53.195002 : Epoch  6, Batch    749, Loss  0.605189, Average Loss  0.604392, Time  0.262187
2021-09-15 05:26:53.845390 : Epoch  2, Batch    172, Loss  0.858568, Average Loss  0.872015, Time  0.264412
2021-09-15 05:26:54.724395 : Epoch  6, Batch    750, Loss  0.596951, Average Loss  0.604329, Time  0.240695
2021-09-15 05:26:56.244802 : Epoch  6, Batch    751, Loss  0.594430, Average Loss  0.604284, Time  0.239032
2021-09-15 05:26:56.839516 : Epoch  2, Batch    173, Loss  0.868174, Average Loss  0.871869, Time  0.265465
2021-09-15 05:26:57.770999 : Epoch  6, Batch    752, Loss  0.605793, Average Loss  0.604253, Time  0.240544
2021-09-15 05:26:59.296195 : Epoch  6, Batch    753, Loss  0.606870, Average Loss  0.604214, Time  0.240298
2021-09-15 05:26:59.834989 : Epoch  2, Batch    174, Loss  0.869774, Average Loss  0.871951, Time  0.264806
2021-09-15 05:27:00.822253 : Epoch  6, Batch    754, Loss  0.608711, Average Loss  0.604215, Time  0.240825
2021-09-15 05:27:02.517510 : Epoch  6, Batch    755, Loss  0.608294, Average Loss  0.604259, Time  0.260417
2021-09-15 05:27:02.830482 : Epoch  2, Batch    175, Loss  0.879614, Average Loss  0.872001, Time  0.275641
2021-09-15 05:27:04.198409 : Epoch  6, Batch    756, Loss  0.616369, Average Loss  0.604331, Time  0.257004
2021-09-15 05:27:05.815120 : Epoch  2, Batch    176, Loss  0.879239, Average Loss  0.872007, Time  0.264837
2021-09-15 05:27:05.874400 : Epoch  6, Batch    757, Loss  0.615126, Average Loss  0.604393, Time  0.256704
2021-09-15 05:27:07.552023 : Epoch  6, Batch    758, Loss  0.600663, Average Loss  0.604322, Time  0.260164
2021-09-15 05:27:08.822419 : Epoch  2, Batch    177, Loss  0.850817, Average Loss  0.871888, Time  0.264825
2021-09-15 05:27:09.248768 : Epoch  6, Batch    759, Loss  0.605177, Average Loss  0.604289, Time  0.259200
2021-09-15 05:27:10.777483 : Epoch  6, Batch    760, Loss  0.616361, Average Loss  0.604312, Time  0.238852
2021-09-15 05:27:11.816811 : Epoch  2, Batch    178, Loss  0.874504, Average Loss  0.871874, Time  0.264962
2021-09-15 05:27:12.451785 : Epoch  6, Batch    761, Loss  0.598396, Average Loss  0.604267, Time  0.257079
2021-09-15 05:27:14.145131 : Epoch  6, Batch    762, Loss  0.609671, Average Loss  0.604314, Time  0.260095
2021-09-15 05:27:14.807624 : Epoch  2, Batch    179, Loss  0.874232, Average Loss  0.871855, Time  0.264777
2021-09-15 05:27:15.674805 : Epoch  6, Batch    763, Loss  0.605265, Average Loss  0.604303, Time  0.240028
2021-09-15 05:27:17.203908 : Epoch  6, Batch    764, Loss  0.612262, Average Loss  0.604368, Time  0.241721
2021-09-15 05:27:17.332725 : CheckPoint: Validation Loss  0.00025680, Best Loss  0.00024571
2021-09-15 05:27:17.816374 : Epoch  2, Batch    180, Loss  0.884120, Average Loss  0.872012, Time  0.265497
2021-09-15 05:27:18.729832 : Epoch  6, Batch    765, Loss  0.601343, Average Loss  0.604413, Time  0.240786
2021-09-15 05:27:18.893349 : Epoch  8, Batch     92, Loss  0.604745, Average Loss  0.602836, Time  0.243591
2021-09-15 05:27:20.438935 : Epoch  8, Batch     93, Loss  0.596122, Average Loss  0.602797, Time  0.231009
2021-09-15 05:27:20.810505 : Epoch  2, Batch    181, Loss  0.886137, Average Loss  0.872109, Time  0.264556
2021-09-15 05:27:21.994707 : Epoch  8, Batch     94, Loss  0.599172, Average Loss  0.602784, Time  0.232242
2021-09-15 05:27:23.552940 : Epoch  8, Batch     95, Loss  0.612975, Average Loss  0.602811, Time  0.231401
2021-09-15 05:27:23.815263 : Epoch  2, Batch    182, Loss  0.900856, Average Loss  0.872212, Time  0.265473
2021-09-15 05:27:25.097984 : Epoch  8, Batch     96, Loss  0.605812, Average Loss  0.602772, Time  0.231001
2021-09-15 05:27:26.653556 : Epoch  8, Batch     97, Loss  0.604107, Average Loss  0.602757, Time  0.231202
2021-09-15 05:27:26.805125 : Epoch  2, Batch    183, Loss  0.881813, Average Loss  0.872200, Time  0.265817
2021-09-15 05:27:28.210021 : Epoch  8, Batch     98, Loss  0.603833, Average Loss  0.602728, Time  0.230658
2021-09-15 05:27:29.761248 : Epoch  8, Batch     99, Loss  0.601687, Average Loss  0.602690, Time  0.230543
2021-09-15 05:27:29.805128 : Epoch  2, Batch    184, Loss  0.855120, Average Loss  0.872022, Time  0.265852
2021-09-15 05:27:31.313840 : Epoch  8, Batch    100, Loss  0.604990, Average Loss  0.602707, Time  0.231023
2021-09-15 05:27:32.809026 : Epoch  2, Batch    185, Loss  0.883304, Average Loss  0.871967, Time  0.266468
2021-09-15 05:27:32.872330 : Epoch  8, Batch    101, Loss  0.595399, Average Loss  0.602640, Time  0.232041
2021-09-15 05:27:34.425971 : Epoch  8, Batch    102, Loss  0.587704, Average Loss  0.602574, Time  0.231295
2021-09-15 05:27:35.808705 : Epoch  2, Batch    186, Loss  0.865339, Average Loss  0.871963, Time  0.264884
2021-09-15 05:27:35.978573 : Epoch  8, Batch    103, Loss  0.597523, Average Loss  0.602524, Time  0.231277
2021-09-15 05:27:37.532542 : Epoch  8, Batch    104, Loss  0.601198, Average Loss  0.602499, Time  0.231681
2021-09-15 05:27:38.759644 : Epoch  2, Batch    187, Loss  0.884484, Average Loss  0.872083, Time  0.265743
2021-09-15 05:27:39.081549 : Epoch  8, Batch    105, Loss  0.602561, Average Loss  0.602516, Time  0.231368
2021-09-15 05:27:40.629893 : Epoch  8, Batch    106, Loss  0.597510, Average Loss  0.602397, Time  0.231217
2021-09-15 05:27:41.772522 : Epoch  2, Batch    188, Loss  0.866503, Average Loss  0.872042, Time  0.266376
2021-09-15 05:27:42.181409 : Epoch  8, Batch    107, Loss  0.605689, Average Loss  0.602442, Time  0.231551
2021-09-15 05:27:43.733041 : Epoch  8, Batch    108, Loss  0.589219, Average Loss  0.602391, Time  0.231738
2021-09-15 05:27:44.770791 : Epoch  2, Batch    189, Loss  0.853762, Average Loss  0.871871, Time  0.264636
2021-09-15 05:27:45.290656 : Epoch  8, Batch    109, Loss  0.604329, Average Loss  0.602388, Time  0.231076
2021-09-15 05:27:46.853505 : Epoch  8, Batch    110, Loss  0.609577, Average Loss  0.602792, Time  0.232070
2021-09-15 05:27:47.779419 : Epoch  2, Batch    190, Loss  0.841814, Average Loss  0.871716, Time  0.276400
2021-09-15 05:27:48.405934 : Epoch  8, Batch    111, Loss  0.606228, Average Loss  0.602805, Time  0.231155
2021-09-15 05:27:49.957018 : Epoch  8, Batch    112, Loss  0.603028, Average Loss  0.602804, Time  0.231486
2021-09-15 05:27:50.774666 : Epoch  2, Batch    191, Loss  0.862385, Average Loss  0.871656, Time  0.264451
2021-09-15 05:27:51.509374 : Epoch  8, Batch    113, Loss  0.602870, Average Loss  0.602675, Time  0.231348
2021-09-15 05:27:53.061192 : Epoch  8, Batch    114, Loss  0.611399, Average Loss  0.602704, Time  0.231177
2021-09-15 05:27:53.756870 : Epoch  2, Batch    192, Loss  0.869369, Average Loss  0.871651, Time  0.265368
2021-09-15 05:27:54.611143 : Epoch  8, Batch    115, Loss  0.598021, Average Loss  0.602626, Time  0.231382
2021-09-15 05:27:56.172992 : Epoch  8, Batch    116, Loss  0.605669, Average Loss  0.602598, Time  0.231891
2021-09-15 05:27:56.780304 : Epoch  2, Batch    193, Loss  0.875424, Average Loss  0.871661, Time  0.264739
2021-09-15 05:27:57.734331 : Epoch  8, Batch    117, Loss  0.605560, Average Loss  0.602615, Time  0.231269
2021-09-15 05:27:59.287972 : Epoch  8, Batch    118, Loss  0.599800, Average Loss  0.602591, Time  0.231313
2021-09-15 05:27:59.781091 : Epoch  2, Batch    194, Loss  0.872041, Average Loss  0.871607, Time  0.265234
2021-09-15 05:28:00.852352 : Epoch  8, Batch    119, Loss  0.600593, Average Loss  0.602612, Time  0.231251
2021-09-15 05:28:02.427441 : Epoch  8, Batch    120, Loss  0.598327, Average Loss  0.602495, Time  0.231136
2021-09-15 05:28:02.783420 : Epoch  2, Batch    195, Loss  0.875161, Average Loss  0.871554, Time  0.264018
2021-09-15 05:28:04.012469 : Epoch  8, Batch    121, Loss  0.613020, Average Loss  0.602462, Time  0.232816
2021-09-15 05:28:05.599136 : Epoch  8, Batch    122, Loss  0.608489, Average Loss  0.602448, Time  0.232325
2021-09-15 05:28:05.772522 : Epoch  2, Batch    196, Loss  0.881760, Average Loss  0.871583, Time  0.264474
2021-09-15 05:28:07.178094 : Epoch  8, Batch    123, Loss  0.590713, Average Loss  0.602375, Time  0.231934
2021-09-15 05:28:08.734184 : Epoch  8, Batch    124, Loss  0.595855, Average Loss  0.602353, Time  0.233241
2021-09-15 05:28:08.747647 : Epoch  2, Batch    197, Loss  0.894625, Average Loss  0.871671, Time  0.265386
2021-09-15 05:28:10.302401 : Epoch  8, Batch    125, Loss  0.593959, Average Loss  0.602322, Time  0.231994
2021-09-15 05:28:11.781180 : Epoch  2, Batch    198, Loss  0.891143, Average Loss  0.871775, Time  0.265210
2021-09-15 05:28:11.872979 : Epoch  8, Batch    126, Loss  0.592559, Average Loss  0.602285, Time  0.233567
2021-09-15 05:28:13.429925 : Epoch  8, Batch    127, Loss  0.608149, Average Loss  0.602250, Time  0.232145
2021-09-15 05:28:14.804580 : Epoch  2, Batch    199, Loss  0.884599, Average Loss  0.871835, Time  0.266716
2021-09-15 05:28:14.992102 : Epoch  8, Batch    128, Loss  0.590906, Average Loss  0.602161, Time  0.231844
2021-09-15 05:28:15.740396 : CheckPoint: Validation Loss  0.00025323, Best Loss  0.00024341
2021-09-15 05:28:16.552335 : Epoch  8, Batch    129, Loss  0.599692, Average Loss  0.602144, Time  0.231485
2021-09-15 05:28:17.289213 : Epoch  6, Batch    766, Loss  0.600710, Average Loss  0.604403, Time  0.240964
2021-09-15 05:28:17.811410 : Epoch  2, Batch    200, Loss  0.845838, Average Loss  0.871789, Time  0.264892
2021-09-15 05:28:18.110518 : Epoch  8, Batch    130, Loss  0.605423, Average Loss  0.602131, Time  0.232412
2021-09-15 05:28:18.810271 : Epoch  6, Batch    767, Loss  0.602203, Average Loss  0.604454, Time  0.239676
2021-09-15 05:28:19.666040 : Epoch  8, Batch    131, Loss  0.614984, Average Loss  0.602199, Time  0.232378
2021-09-15 05:28:20.338895 : Epoch  6, Batch    768, Loss  0.605886, Average Loss  0.604508, Time  0.240198
2021-09-15 05:28:20.846975 : Epoch  2, Batch    201, Loss  0.865817, Average Loss  0.871850, Time  0.264881
2021-09-15 05:28:21.241960 : Epoch  8, Batch    132, Loss  0.592979, Average Loss  0.602166, Time  0.231734
2021-09-15 05:28:21.866319 : Epoch  6, Batch    769, Loss  0.599708, Average Loss  0.604468, Time  0.238077
2021-09-15 05:28:22.803555 : Epoch  8, Batch    133, Loss  0.587470, Average Loss  0.602106, Time  0.231211
2021-09-15 05:28:23.389928 : Epoch  6, Batch    770, Loss  0.601620, Average Loss  0.604450, Time  0.238249
2021-09-15 05:28:23.783428 : Epoch  2, Batch    202, Loss  0.882707, Average Loss  0.871994, Time  0.264110
2021-09-15 05:28:24.374033 : Epoch  8, Batch    134, Loss  0.600764, Average Loss  0.602055, Time  0.231382
2021-09-15 05:28:24.911142 : Epoch  6, Batch    771, Loss  0.595540, Average Loss  0.604427, Time  0.238422
2021-09-15 05:28:25.933145 : Epoch  8, Batch    135, Loss  0.598436, Average Loss  0.602025, Time  0.232145
2021-09-15 05:28:26.460909 : Epoch  6, Batch    772, Loss  0.607876, Average Loss  0.604422, Time  0.240853
2021-09-15 05:28:26.754549 : Epoch  2, Batch    203, Loss  0.880672, Average Loss  0.872007, Time  0.264071
2021-09-15 05:28:27.488033 : Epoch  8, Batch    136, Loss  0.588552, Average Loss  0.602005, Time  0.231751
2021-09-15 05:28:27.991289 : Epoch  6, Batch    773, Loss  0.607152, Average Loss  0.604422, Time  0.241079
2021-09-15 05:28:29.044039 : Epoch  8, Batch    137, Loss  0.615941, Average Loss  0.602082, Time  0.231624
2021-09-15 05:28:29.511110 : Epoch  6, Batch    774, Loss  0.602405, Average Loss  0.604373, Time  0.240180
2021-09-15 05:28:29.746393 : Epoch  2, Batch    204, Loss  0.852260, Average Loss  0.871890, Time  0.264680
2021-09-15 05:28:30.602400 : Epoch  8, Batch    138, Loss  0.611248, Average Loss  0.602077, Time  0.231141
2021-09-15 05:28:31.043392 : Epoch  6, Batch    775, Loss  0.597641, Average Loss  0.604299, Time  0.241030
2021-09-15 05:28:32.181703 : Epoch  8, Batch    139, Loss  0.606405, Average Loss  0.602074, Time  0.254152
2021-09-15 05:28:32.565114 : Epoch  6, Batch    776, Loss  0.610644, Average Loss  0.604334, Time  0.240566
2021-09-15 05:28:32.750665 : Epoch  2, Batch    205, Loss  0.886265, Average Loss  0.871951, Time  0.278013
2021-09-15 05:28:33.746140 : Epoch  8, Batch    140, Loss  0.607488, Average Loss  0.602121, Time  0.231515
2021-09-15 05:28:34.085766 : Epoch  6, Batch    777, Loss  0.604768, Average Loss  0.604324, Time  0.239784
2021-09-15 05:28:35.304408 : Epoch  8, Batch    141, Loss  0.604469, Average Loss  0.602180, Time  0.231392
2021-09-15 05:28:35.657978 : Epoch  6, Batch    778, Loss  0.608760, Average Loss  0.604374, Time  0.242231
2021-09-15 05:28:35.745343 : Epoch  2, Batch    206, Loss  0.854185, Average Loss  0.871852, Time  0.264995
2021-09-15 05:28:36.865830 : Epoch  8, Batch    142, Loss  0.599866, Average Loss  0.602208, Time  0.231361
2021-09-15 05:28:37.178791 : Epoch  6, Batch    779, Loss  0.598779, Average Loss  0.604328, Time  0.241992
2021-09-15 05:28:38.430720 : Epoch  8, Batch    143, Loss  0.603671, Average Loss  0.602254, Time  0.231428
2021-09-15 05:28:38.698765 : Epoch  6, Batch    780, Loss  0.592947, Average Loss  0.604214, Time  0.240800
2021-09-15 05:28:38.739720 : Epoch  2, Batch    207, Loss  0.864604, Average Loss  0.871843, Time  0.265880
2021-09-15 05:28:39.997076 : Epoch  8, Batch    144, Loss  0.610629, Average Loss  0.602321, Time  0.231442
2021-09-15 05:28:40.215960 : Epoch  6, Batch    781, Loss  0.599381, Average Loss  0.604202, Time  0.241599
2021-09-15 05:28:41.563430 : Epoch  8, Batch    145, Loss  0.600370, Average Loss  0.602292, Time  0.231445
2021-09-15 05:28:41.731433 : Epoch  6, Batch    782, Loss  0.594419, Average Loss  0.604157, Time  0.241226
2021-09-15 05:28:41.761220 : Epoch  2, Batch    208, Loss  0.901488, Average Loss  0.871882, Time  0.265735
2021-09-15 05:28:43.129372 : Epoch  8, Batch    146, Loss  0.605169, Average Loss  0.602337, Time  0.231053
2021-09-15 05:28:43.259414 : Epoch  6, Batch    783, Loss  0.601073, Average Loss  0.604171, Time  0.238104
2021-09-15 05:28:44.713347 : Epoch  8, Batch    147, Loss  0.608829, Average Loss  0.602428, Time  0.232573
2021-09-15 05:28:44.785098 : Epoch  2, Batch    209, Loss  0.881252, Average Loss  0.872020, Time  0.265363
2021-09-15 05:28:44.800338 : Epoch  6, Batch    784, Loss  0.600919, Average Loss  0.604141, Time  0.239350
2021-09-15 05:28:46.274063 : Epoch  8, Batch    148, Loss  0.594033, Average Loss  0.602388, Time  0.231522
2021-09-15 05:28:46.333012 : Epoch  6, Batch    785, Loss  0.607815, Average Loss  0.604132, Time  0.238342
2021-09-15 05:28:47.831714 : Epoch  8, Batch    149, Loss  0.602594, Average Loss  0.602349, Time  0.231665
2021-09-15 05:28:47.864639 : Epoch  2, Batch    210, Loss  0.867767, Average Loss  0.871933, Time  0.265060
2021-09-15 05:28:47.872743 : Epoch  6, Batch    786, Loss  0.602245, Average Loss  0.604197, Time  0.238822
2021-09-15 05:28:49.398424 : Epoch  8, Batch    150, Loss  0.594776, Average Loss  0.602321, Time  0.232119
2021-09-15 05:28:49.438975 : Epoch  6, Batch    787, Loss  0.608252, Average Loss  0.604213, Time  0.238691
2021-09-15 05:28:49.468917 : Saving Model after 6-th Epoch.
2021-09-15 05:28:50.405608 : Epoch Finished.
2021-09-15 05:28:50.860659 : Epoch  2, Batch    211, Loss  0.860748, Average Loss  0.871971, Time  0.264462
2021-09-15 05:28:50.972661 : Epoch  8, Batch    151, Loss  0.597980, Average Loss  0.602352, Time  0.231307
2021-09-15 05:28:52.525158 : Epoch  8, Batch    152, Loss  0.601128, Average Loss  0.602381, Time  0.232253
2021-09-15 05:28:52.731602 : Batch Shuffled
2021-09-15 05:28:53.884987 : Epoch  2, Batch    212, Loss  0.876008, Average Loss  0.871875, Time  0.266065
2021-09-15 05:28:54.073325 : Epoch  8, Batch    153, Loss  0.597178, Average Loss  0.602419, Time  0.231149
2021-09-15 05:28:54.280302 : Epoch  7, Batch      1, Loss  0.605670, Average Loss  0.604230, Time  0.241496
2021-09-15 05:28:55.638148 : Epoch  8, Batch    154, Loss  0.596031, Average Loss  0.602402, Time  0.231527
2021-09-15 05:28:55.801089 : Epoch  7, Batch      2, Loss  0.607690, Average Loss  0.604242, Time  0.243052
2021-09-15 05:28:56.918712 : Epoch  2, Batch    213, Loss  0.868038, Average Loss  0.871907, Time  0.265302
2021-09-15 05:28:57.196396 : Epoch  8, Batch    155, Loss  0.600401, Average Loss  0.602437, Time  0.231429
2021-09-15 05:28:57.324078 : Epoch  7, Batch      3, Loss  0.607618, Average Loss  0.604290, Time  0.238856
2021-09-15 05:28:58.755973 : Epoch  8, Batch    156, Loss  0.586698, Average Loss  0.602345, Time  0.231748
2021-09-15 05:28:58.990185 : Epoch  7, Batch      4, Loss  0.601868, Average Loss  0.604303, Time  0.258302
2021-09-15 05:28:59.897374 : Epoch  2, Batch    214, Loss  0.860438, Average Loss  0.871846, Time  0.264190
2021-09-15 05:29:00.316870 : Epoch  8, Batch    157, Loss  0.611788, Average Loss  0.602387, Time  0.232394
2021-09-15 05:29:00.562754 : Epoch  7, Batch      5, Loss  0.612073, Average Loss  0.604357, Time  0.240906
2021-09-15 05:29:01.873159 : Epoch  8, Batch    158, Loss  0.602650, Average Loss  0.602391, Time  0.231033
2021-09-15 05:29:02.081076 : Epoch  7, Batch      6, Loss  0.596316, Average Loss  0.604282, Time  0.240913
2021-09-15 05:29:02.897886 : Epoch  2, Batch    215, Loss  0.850640, Average Loss  0.871678, Time  0.264463
2021-09-15 05:29:03.440375 : Epoch  8, Batch    159, Loss  0.603888, Average Loss  0.602391, Time  0.231370
2021-09-15 05:29:03.617911 : Epoch  7, Batch      7, Loss  0.604289, Average Loss  0.604257, Time  0.242613
2021-09-15 05:29:04.996905 : Epoch  8, Batch    160, Loss  0.599632, Average Loss  0.602409, Time  0.231458
2021-09-15 05:29:05.135333 : Epoch  7, Batch      8, Loss  0.606193, Average Loss  0.604261, Time  0.238666
2021-09-15 05:29:05.886109 : Epoch  2, Batch    216, Loss  0.860734, Average Loss  0.871659, Time  0.264678
2021-09-15 05:29:06.561043 : Epoch  8, Batch    161, Loss  0.628080, Average Loss  0.602540, Time  0.231415
2021-09-15 05:29:06.810897 : Epoch  7, Batch      9, Loss  0.597403, Average Loss  0.604243, Time  0.258834
2021-09-15 05:29:08.489378 : Epoch  7, Batch     10, Loss  0.604220, Average Loss  0.604334, Time  0.258138
2021-09-15 05:29:08.882409 : Epoch  2, Batch    217, Loss  0.872134, Average Loss  0.871647, Time  0.265882
2021-09-15 05:29:10.027432 : Epoch  7, Batch     11, Loss  0.616461, Average Loss  0.604449, Time  0.238903
2021-09-15 05:29:10.453208 : Epoch  8, Batch    162, Loss  0.601202, Average Loss  0.602566, Time  0.272074
2021-09-15 05:29:11.567348 : Epoch  7, Batch     12, Loss  0.608296, Average Loss  0.604444, Time  0.239905
2021-09-15 05:29:11.881804 : Epoch  2, Batch    218, Loss  0.893072, Average Loss  0.871784, Time  0.264653
2021-09-15 05:29:12.001350 : Epoch  8, Batch    163, Loss  0.609636, Average Loss  0.602586, Time  0.250180
2021-09-15 05:29:13.098848 : Epoch  7, Batch     13, Loss  0.597374, Average Loss  0.604397, Time  0.239989
2021-09-15 05:29:13.543319 : Epoch  8, Batch    164, Loss  0.603822, Average Loss  0.602540, Time  0.235923
2021-09-15 05:29:14.633832 : Epoch  7, Batch     14, Loss  0.611723, Average Loss  0.604364, Time  0.238884
2021-09-15 05:29:14.849408 : Epoch  2, Batch    219, Loss  0.872935, Average Loss  0.871719, Time  0.264537
2021-09-15 05:29:15.075463 : Epoch  8, Batch    165, Loss  0.594382, Average Loss  0.602506, Time  0.231182
2021-09-15 05:29:16.187869 : Epoch  7, Batch     15, Loss  0.610211, Average Loss  0.604367, Time  0.240108
2021-09-15 05:29:16.612692 : Epoch  8, Batch    166, Loss  0.605354, Average Loss  0.602518, Time  0.232534
2021-09-15 05:29:17.715363 : Epoch  7, Batch     16, Loss  0.591448, Average Loss  0.604229, Time  0.238763
2021-09-15 05:29:17.856258 : Epoch  2, Batch    220, Loss  0.866049, Average Loss  0.871690, Time  0.275730
2021-09-15 05:29:18.166414 : Epoch  8, Batch    167, Loss  0.608048, Average Loss  0.602520, Time  0.231237
2021-09-15 05:29:19.257342 : Epoch  7, Batch     17, Loss  0.607799, Average Loss  0.604319, Time  0.240198
2021-09-15 05:29:19.705118 : Epoch  8, Batch    168, Loss  0.599055, Average Loss  0.602523, Time  0.231375
2021-09-15 05:29:20.792837 : Epoch  7, Batch     18, Loss  0.606472, Average Loss  0.604244, Time  0.243373
2021-09-15 05:29:20.832499 : Epoch  2, Batch    221, Loss  0.891316, Average Loss  0.871845, Time  0.265325
2021-09-15 05:29:21.239594 : Epoch  8, Batch    169, Loss  0.605564, Average Loss  0.602525, Time  0.231304
2021-09-15 05:29:22.350851 : Epoch  7, Batch     19, Loss  0.589993, Average Loss  0.604203, Time  0.238743
2021-09-15 05:29:22.774708 : Epoch  8, Batch    170, Loss  0.611620, Average Loss  0.602560, Time  0.231317
2021-09-15 05:29:23.820506 : Epoch  2, Batch    222, Loss  0.859639, Average Loss  0.871758, Time  0.265422
2021-09-15 05:29:23.894262 : Epoch  7, Batch     20, Loss  0.605667, Average Loss  0.604251, Time  0.239972
2021-09-15 05:29:24.310506 : Epoch  8, Batch    171, Loss  0.613977, Average Loss  0.602582, Time  0.231217
2021-09-15 05:29:25.400509 : Epoch  7, Batch     21, Loss  0.591664, Average Loss  0.604136, Time  0.236084
2021-09-15 05:29:25.850597 : Epoch  8, Batch    172, Loss  0.601735, Average Loss  0.602560, Time  0.231246
2021-09-15 05:29:26.820989 : Epoch  2, Batch    223, Loss  0.895281, Average Loss  0.871856, Time  0.264623
2021-09-15 05:29:26.941033 : Epoch  7, Batch     22, Loss  0.611473, Average Loss  0.604229, Time  0.236468
2021-09-15 05:29:27.396885 : Epoch  8, Batch    173, Loss  0.588372, Average Loss  0.602512, Time  0.231941
2021-09-15 05:29:28.469802 : Epoch  7, Batch     23, Loss  0.608305, Average Loss  0.604286, Time  0.242424
2021-09-15 05:29:28.940594 : Epoch  8, Batch    174, Loss  0.604114, Average Loss  0.602550, Time  0.231298
2021-09-15 05:29:29.847328 : Epoch  2, Batch    224, Loss  0.857843, Average Loss  0.871771, Time  0.265002
2021-09-15 05:29:30.016500 : Epoch  7, Batch     24, Loss  0.599414, Average Loss  0.604237, Time  0.240725
2021-09-15 05:29:30.480202 : Epoch  8, Batch    175, Loss  0.597053, Average Loss  0.602561, Time  0.231359
2021-09-15 05:29:31.558817 : Epoch  7, Batch     25, Loss  0.604465, Average Loss  0.604234, Time  0.242241
2021-09-15 05:29:32.015845 : Epoch  8, Batch    176, Loss  0.601461, Average Loss  0.602511, Time  0.231277
2021-09-15 05:29:32.880858 : Epoch  2, Batch    225, Loss  0.879372, Average Loss  0.871819, Time  0.266503
2021-09-15 05:29:33.104797 : Epoch  7, Batch     26, Loss  0.609288, Average Loss  0.604298, Time  0.241684
2021-09-15 05:29:33.562413 : Epoch  8, Batch    177, Loss  0.602567, Average Loss  0.602475, Time  0.231246
2021-09-15 05:29:34.616288 : Epoch  7, Batch     27, Loss  0.600692, Average Loss  0.604299, Time  0.237904
2021-09-15 05:29:35.115029 : Epoch  8, Batch    178, Loss  0.602805, Average Loss  0.602467, Time  0.232032
2021-09-15 05:29:35.916168 : Epoch  2, Batch    226, Loss  0.877738, Average Loss  0.871926, Time  0.266203
2021-09-15 05:29:36.144057 : Epoch  7, Batch     28, Loss  0.606093, Average Loss  0.604274, Time  0.237860
2021-09-15 05:29:36.652388 : Epoch  8, Batch    179, Loss  0.605576, Average Loss  0.602519, Time  0.231275
2021-09-15 05:29:37.683764 : Epoch  7, Batch     29, Loss  0.606477, Average Loss  0.604315, Time  0.241659
2021-09-15 05:29:38.191320 : Epoch  8, Batch    180, Loss  0.596156, Average Loss  0.602471, Time  0.231333
2021-09-15 05:29:38.923220 : Epoch  2, Batch    227, Loss  0.875425, Average Loss  0.872010, Time  0.265096
2021-09-15 05:29:39.207810 : Epoch  7, Batch     30, Loss  0.597683, Average Loss  0.604223, Time  0.238339
2021-09-15 05:29:39.725023 : Epoch  8, Batch    181, Loss  0.610109, Average Loss  0.602585, Time  0.232407
2021-09-15 05:29:40.743319 : Epoch  7, Batch     31, Loss  0.594808, Average Loss  0.604226, Time  0.239905
2021-09-15 05:29:41.285704 : Epoch  8, Batch    182, Loss  0.596125, Average Loss  0.602552, Time  0.231339
2021-09-15 05:29:41.956503 : Epoch  2, Batch    228, Loss  0.844642, Average Loss  0.871786, Time  0.267737
2021-09-15 05:29:42.314038 : Epoch  7, Batch     32, Loss  0.606420, Average Loss  0.604258, Time  0.240503
2021-09-15 05:29:42.841342 : Epoch  8, Batch    183, Loss  0.594400, Average Loss  0.602499, Time  0.231105
2021-09-15 05:29:43.846851 : Epoch  7, Batch     33, Loss  0.617105, Average Loss  0.604353, Time  0.238904
2021-09-15 05:29:44.403368 : Epoch  8, Batch    184, Loss  0.611779, Average Loss  0.602461, Time  0.232367
2021-09-15 05:29:45.005079 : Epoch  2, Batch    229, Loss  0.873466, Average Loss  0.871703, Time  0.265060
2021-09-15 05:29:45.389917 : Epoch  7, Batch     34, Loss  0.603754, Average Loss  0.604350, Time  0.239954
2021-09-15 05:29:45.967787 : Epoch  8, Batch    185, Loss  0.596583, Average Loss  0.602403, Time  0.232392
2021-09-15 05:29:46.910806 : Epoch  7, Batch     35, Loss  0.598866, Average Loss  0.604354, Time  0.239139
2021-09-15 05:29:47.521781 : Epoch  8, Batch    186, Loss  0.605575, Average Loss  0.602418, Time  0.232223
2021-09-15 05:29:48.044065 : Epoch  2, Batch    230, Loss  0.872388, Average Loss  0.871642, Time  0.265733
2021-09-15 05:29:48.436848 : Epoch  7, Batch     36, Loss  0.602147, Average Loss  0.604416, Time  0.237969
2021-09-15 05:29:49.126571 : Epoch  8, Batch    187, Loss  0.598085, Average Loss  0.602440, Time  0.231233
2021-09-15 05:29:49.959758 : Epoch  7, Batch     37, Loss  0.604792, Average Loss  0.604386, Time  0.238827
2021-09-15 05:29:50.701915 : Epoch  8, Batch    188, Loss  0.604955, Average Loss  0.602418, Time  0.231291
2021-09-15 05:29:51.100846 : Epoch  2, Batch    231, Loss  0.895877, Average Loss  0.871824, Time  0.265242
2021-09-15 05:29:51.494092 : Epoch  7, Batch     38, Loss  0.601827, Average Loss  0.604365, Time  0.238747
2021-09-15 05:29:52.261199 : Epoch  8, Batch    189, Loss  0.599848, Average Loss  0.602464, Time  0.231492
2021-09-15 05:29:53.027810 : Epoch  7, Batch     39, Loss  0.599735, Average Loss  0.604240, Time  0.241055
2021-09-15 05:29:53.825065 : Epoch  8, Batch    190, Loss  0.611519, Average Loss  0.602505, Time  0.231044
2021-09-15 05:29:54.104819 : Epoch  2, Batch    232, Loss  0.881882, Average Loss  0.871787, Time  0.264149
2021-09-15 05:29:54.563374 : Epoch  7, Batch     40, Loss  0.591984, Average Loss  0.604135, Time  0.239525
2021-09-15 05:29:55.382335 : Epoch  8, Batch    191, Loss  0.591430, Average Loss  0.602482, Time  0.230982
2021-09-15 05:29:56.106472 : Epoch  7, Batch     41, Loss  0.599452, Average Loss  0.604029, Time  0.241649
2021-09-15 05:29:57.090481 : Epoch  2, Batch    233, Loss  0.885963, Average Loss  0.871868, Time  0.264997
2021-09-15 05:29:57.652839 : Epoch  7, Batch     42, Loss  0.599360, Average Loss  0.603920, Time  0.242696
2021-09-15 05:29:59.201377 : Epoch  7, Batch     43, Loss  0.607759, Average Loss  0.603909, Time  0.241101
2021-09-15 05:30:00.084092 : Epoch  2, Batch    234, Loss  0.886951, Average Loss  0.871884, Time  0.264655
2021-09-15 05:30:00.736069 : Epoch  7, Batch     44, Loss  0.617187, Average Loss  0.603953, Time  0.242083
2021-09-15 05:30:02.280164 : Epoch  7, Batch     45, Loss  0.604659, Average Loss  0.603933, Time  0.239795
2021-09-15 05:30:03.093865 : Epoch  2, Batch    235, Loss  0.869161, Average Loss  0.871755, Time  0.276790
2021-09-15 05:30:03.825074 : Epoch  7, Batch     46, Loss  0.600560, Average Loss  0.603902, Time  0.239623
2021-09-15 05:30:05.515116 : Epoch  7, Batch     47, Loss  0.614988, Average Loss  0.603979, Time  0.258168
2021-09-15 05:30:06.108959 : Epoch  2, Batch    236, Loss  0.874565, Average Loss  0.871763, Time  0.265922
2021-09-15 05:30:07.201026 : Epoch  7, Batch     48, Loss  0.604538, Average Loss  0.603962, Time  0.256995
2021-09-15 05:30:08.730384 : Epoch  7, Batch     49, Loss  0.605559, Average Loss  0.603961, Time  0.238872
2021-09-15 05:30:09.129417 : Epoch  2, Batch    237, Loss  0.863347, Average Loss  0.871795, Time  0.265150
2021-09-15 05:30:10.280441 : Epoch  7, Batch     50, Loss  0.608570, Average Loss  0.604008, Time  0.238476
2021-09-15 05:30:11.814848 : Epoch  7, Batch     51, Loss  0.601395, Average Loss  0.604008, Time  0.240277
2021-09-15 05:30:12.123316 : Epoch  2, Batch    238, Loss  0.872005, Average Loss  0.871846, Time  0.265195
2021-09-15 05:30:13.351127 : Epoch  7, Batch     52, Loss  0.599995, Average Loss  0.603956, Time  0.241630
2021-09-15 05:30:14.899230 : Epoch  7, Batch     53, Loss  0.608573, Average Loss  0.603988, Time  0.241149
2021-09-15 05:30:15.129965 : Epoch  2, Batch    239, Loss  0.882025, Average Loss  0.871821, Time  0.264680
2021-09-15 05:30:16.430938 : Epoch  7, Batch     54, Loss  0.604294, Average Loss  0.603972, Time  0.241133
2021-09-15 05:30:17.967054 : Epoch  7, Batch     55, Loss  0.589158, Average Loss  0.603878, Time  0.240512
2021-09-15 05:30:18.154814 : Epoch  2, Batch    240, Loss  0.857430, Average Loss  0.871820, Time  0.264296
2021-09-15 05:30:19.492354 : Epoch  7, Batch     56, Loss  0.602403, Average Loss  0.603765, Time  0.239586
2021-09-15 05:30:21.022763 : Epoch  7, Batch     57, Loss  0.599907, Average Loss  0.603706, Time  0.240528
2021-09-15 05:30:21.170499 : Epoch  2, Batch    241, Loss  0.870137, Average Loss  0.871864, Time  0.265059
2021-09-15 05:30:22.561016 : Epoch  7, Batch     58, Loss  0.600221, Average Loss  0.603668, Time  0.239969
2021-09-15 05:30:24.102166 : Epoch  7, Batch     59, Loss  0.607573, Average Loss  0.603632, Time  0.241658
2021-09-15 05:30:24.188321 : Epoch  2, Batch    242, Loss  0.866825, Average Loss  0.871744, Time  0.264534
2021-09-15 05:30:25.641203 : Epoch  7, Batch     60, Loss  0.603131, Average Loss  0.603650, Time  0.242114
2021-09-15 05:30:27.174510 : Epoch  2, Batch    243, Loss  0.873462, Average Loss  0.871772, Time  0.265163
2021-09-15 05:30:27.175822 : Epoch  7, Batch     61, Loss  0.612356, Average Loss  0.603588, Time  0.242577
2021-09-15 05:30:28.740783 : Epoch  7, Batch     62, Loss  0.612234, Average Loss  0.603577, Time  0.242490
2021-09-15 05:30:30.165230 : Epoch  2, Batch    244, Loss  0.887200, Average Loss  0.871864, Time  0.265261
2021-09-15 05:30:30.271826 : Epoch  7, Batch     63, Loss  0.600077, Average Loss  0.603526, Time  0.240833
2021-09-15 05:30:31.810365 : Epoch  7, Batch     64, Loss  0.603689, Average Loss  0.603519, Time  0.241496
2021-09-15 05:30:33.352011 : Epoch  7, Batch     65, Loss  0.599471, Average Loss  0.603483, Time  0.241541
2021-09-15 05:30:34.884337 : Epoch  7, Batch     66, Loss  0.607108, Average Loss  0.603500, Time  0.238904
2021-09-15 05:30:36.418840 : Epoch  7, Batch     67, Loss  0.605486, Average Loss  0.603471, Time  0.240288
2021-09-15 05:30:37.948858 : Epoch  7, Batch     68, Loss  0.596341, Average Loss  0.603472, Time  0.238997
2021-09-15 05:30:39.477124 : Epoch  7, Batch     69, Loss  0.596987, Average Loss  0.603467, Time  0.240617
2021-09-15 05:30:41.009800 : Epoch  7, Batch     70, Loss  0.609208, Average Loss  0.603520, Time  0.239264
2021-09-15 05:30:42.542769 : Epoch  7, Batch     71, Loss  0.611536, Average Loss  0.603593, Time  0.240298
2021-09-15 05:30:44.082001 : Epoch  7, Batch     72, Loss  0.591333, Average Loss  0.603479, Time  0.238208
2021-09-15 05:30:45.641005 : Epoch  7, Batch     73, Loss  0.607885, Average Loss  0.603539, Time  0.242306
2021-09-15 05:30:47.190989 : Epoch  7, Batch     74, Loss  0.607692, Average Loss  0.603561, Time  0.243179
2021-09-15 05:30:48.734913 : Epoch  7, Batch     75, Loss  0.611913, Average Loss  0.603583, Time  0.239760
2021-09-15 05:30:50.266853 : Epoch  7, Batch     76, Loss  0.605865, Average Loss  0.603588, Time  0.240737
2021-09-15 05:30:51.819874 : Epoch  7, Batch     77, Loss  0.606350, Average Loss  0.603558, Time  0.239820
2021-09-15 05:30:53.347976 : Epoch  7, Batch     78, Loss  0.607020, Average Loss  0.603558, Time  0.238177
2021-09-15 05:30:53.450731 : CheckPoint: Validation Loss  0.00025907, Best Loss  0.00024571
2021-09-15 05:30:55.000605 : Epoch  8, Batch    192, Loss  0.604378, Average Loss  0.602571, Time  0.231727
2021-09-15 05:30:56.553315 : Epoch  8, Batch    193, Loss  0.605912, Average Loss  0.602653, Time  0.231457
2021-09-15 05:30:58.113349 : Epoch  8, Batch    194, Loss  0.603702, Average Loss  0.602605, Time  0.231369
2021-09-15 05:30:59.672369 : Epoch  8, Batch    195, Loss  0.599919, Average Loss  0.602615, Time  0.231212
2021-09-15 05:31:01.232894 : Epoch  8, Batch    196, Loss  0.594256, Average Loss  0.602590, Time  0.231966
2021-09-15 05:31:02.777707 : Epoch  8, Batch    197, Loss  0.602341, Average Loss  0.602636, Time  0.231314
2021-09-15 05:31:04.335361 : Epoch  8, Batch    198, Loss  0.598865, Average Loss  0.602631, Time  0.231330
2021-09-15 05:31:05.891060 : Epoch  8, Batch    199, Loss  0.598463, Average Loss  0.602571, Time  0.232363
2021-09-15 05:31:07.446902 : Epoch  8, Batch    200, Loss  0.595224, Average Loss  0.602512, Time  0.231524
2021-09-15 05:31:09.003799 : Epoch  8, Batch    201, Loss  0.604569, Average Loss  0.602500, Time  0.231600
2021-09-15 05:31:10.578394 : Epoch  8, Batch    202, Loss  0.606404, Average Loss  0.602457, Time  0.231327
2021-09-15 05:31:12.141977 : Epoch  8, Batch    203, Loss  0.614862, Average Loss  0.602519, Time  0.231724
2021-09-15 05:31:13.712995 : Epoch  8, Batch    204, Loss  0.599984, Average Loss  0.602584, Time  0.232871
2021-09-15 05:31:15.264362 : Epoch  8, Batch    205, Loss  0.589082, Average Loss  0.602469, Time  0.231742
2021-09-15 05:31:16.821829 : Epoch  8, Batch    206, Loss  0.610682, Average Loss  0.602432, Time  0.231361
2021-09-15 05:31:18.380803 : Epoch  8, Batch    207, Loss  0.586708, Average Loss  0.602368, Time  0.231984
2021-09-15 05:31:19.929157 : Epoch  8, Batch    208, Loss  0.604355, Average Loss  0.602414, Time  0.231399
2021-09-15 05:31:21.477044 : Epoch  8, Batch    209, Loss  0.607622, Average Loss  0.602422, Time  0.231578
2021-09-15 05:31:23.040126 : Epoch  8, Batch    210, Loss  0.603965, Average Loss  0.602395, Time  0.232919
2021-09-15 05:31:24.609386 : Epoch  8, Batch    211, Loss  0.600422, Average Loss  0.602360, Time  0.231500
2021-09-15 05:31:26.161571 : Epoch  8, Batch    212, Loss  0.612943, Average Loss  0.602426, Time  0.231115
2021-09-15 05:31:27.716295 : Epoch  8, Batch    213, Loss  0.605407, Average Loss  0.602411, Time  0.232626
2021-09-15 05:31:29.266865 : Epoch  8, Batch    214, Loss  0.597699, Average Loss  0.602431, Time  0.231629
2021-09-15 05:31:30.847549 : Epoch  8, Batch    215, Loss  0.600193, Average Loss  0.602417, Time  0.231574
2021-09-15 05:31:32.400380 : Epoch  8, Batch    216, Loss  0.600000, Average Loss  0.602325, Time  0.232404
2021-09-15 05:31:33.949966 : Epoch  8, Batch    217, Loss  0.610267, Average Loss  0.602394, Time  0.231271
2021-09-15 05:31:35.531354 : Epoch  8, Batch    218, Loss  0.597536, Average Loss  0.602402, Time  0.231085
2021-09-15 05:31:37.086407 : Epoch  8, Batch    219, Loss  0.603749, Average Loss  0.602349, Time  0.231253
2021-09-15 05:31:38.639061 : Epoch  8, Batch    220, Loss  0.598173, Average Loss  0.602325, Time  0.231154
2021-09-15 05:31:40.187147 : Epoch  8, Batch    221, Loss  0.596186, Average Loss  0.602257, Time  0.231280
2021-09-15 05:31:41.734019 : Epoch  8, Batch    222, Loss  0.591283, Average Loss  0.602247, Time  0.231705
2021-09-15 05:31:43.289995 : Epoch  8, Batch    223, Loss  0.597938, Average Loss  0.602227, Time  0.233350
2021-09-15 05:31:44.843016 : Epoch  8, Batch    224, Loss  0.609555, Average Loss  0.602180, Time  0.231307
2021-09-15 05:31:46.396088 : Epoch  8, Batch    225, Loss  0.590843, Average Loss  0.602120, Time  0.231982
2021-09-15 05:31:47.954382 : Epoch  8, Batch    226, Loss  0.602442, Average Loss  0.602035, Time  0.231329
2021-09-15 05:31:49.514558 : Epoch  8, Batch    227, Loss  0.597299, Average Loss  0.601978, Time  0.232357
2021-09-15 05:31:49.854100 : CheckPoint: Validation Loss  0.00024494, Best Loss  0.00024341
2021-09-15 05:31:51.106384 : Epoch  8, Batch    228, Loss  0.591487, Average Loss  0.601900, Time  0.231208
2021-09-15 05:31:51.367862 : Epoch  7, Batch     79, Loss  0.598536, Average Loss  0.603542, Time  0.238846
2021-09-15 05:31:52.656463 : Epoch  8, Batch    229, Loss  0.598962, Average Loss  0.601911, Time  0.231702
2021-09-15 05:31:52.875814 : Epoch  7, Batch     80, Loss  0.584875, Average Loss  0.603469, Time  0.240584
2021-09-15 05:31:54.201289 : Epoch  8, Batch    230, Loss  0.592205, Average Loss  0.601857, Time  0.230671
2021-09-15 05:31:54.390270 : Epoch  7, Batch     81, Loss  0.592482, Average Loss  0.603420, Time  0.239236
2021-09-15 05:31:55.752329 : Epoch  8, Batch    231, Loss  0.598072, Average Loss  0.601910, Time  0.231394
2021-09-15 05:31:55.900340 : Epoch  7, Batch     82, Loss  0.622281, Average Loss  0.603508, Time  0.238908
2021-09-15 05:31:57.309838 : Epoch  8, Batch    232, Loss  0.604994, Average Loss  0.601935, Time  0.231164
2021-09-15 05:31:57.410807 : Epoch  7, Batch     83, Loss  0.613614, Average Loss  0.603605, Time  0.242189
2021-09-15 05:31:58.862371 : Epoch  8, Batch    233, Loss  0.612581, Average Loss  0.601961, Time  0.231090
2021-09-15 05:31:59.004987 : Epoch  7, Batch     84, Loss  0.600921, Average Loss  0.603590, Time  0.239429
2021-09-15 05:32:00.513795 : Epoch  7, Batch     85, Loss  0.604348, Average Loss  0.603572, Time  0.240364
2021-09-15 05:32:00.545609 : Epoch  8, Batch    234, Loss  0.589630, Average Loss  0.601899, Time  0.233334
2021-09-15 05:32:02.034332 : Epoch  7, Batch     86, Loss  0.601045, Average Loss  0.603618, Time  0.242549
2021-09-15 05:32:02.098203 : Epoch  8, Batch    235, Loss  0.599045, Average Loss  0.601905, Time  0.231779
2021-09-15 05:32:03.566884 : Epoch  7, Batch     87, Loss  0.595891, Average Loss  0.603552, Time  0.240414
2021-09-15 05:32:03.655056 : Epoch  8, Batch    236, Loss  0.600963, Average Loss  0.601864, Time  0.231288
2021-09-15 05:32:05.083805 : Epoch  7, Batch     88, Loss  0.600089, Average Loss  0.603517, Time  0.240028
2021-09-15 05:32:05.215633 : Epoch  8, Batch    237, Loss  0.619047, Average Loss  0.602008, Time  0.231343
2021-09-15 05:32:06.600970 : Epoch  7, Batch     89, Loss  0.612729, Average Loss  0.603563, Time  0.239084
2021-09-15 05:32:06.760456 : Epoch  8, Batch    238, Loss  0.600272, Average Loss  0.601941, Time  0.231473
2021-09-15 05:32:08.134798 : Epoch  7, Batch     90, Loss  0.590401, Average Loss  0.603523, Time  0.241127
2021-09-15 05:32:08.311597 : Epoch  8, Batch    239, Loss  0.600981, Average Loss  0.601948, Time  0.231004
2021-09-15 05:32:09.696810 : Epoch  7, Batch     91, Loss  0.605224, Average Loss  0.603501, Time  0.241182
2021-09-15 05:32:09.865891 : Epoch  8, Batch    240, Loss  0.599904, Average Loss  0.601977, Time  0.232073
2021-09-15 05:32:11.249116 : Epoch  7, Batch     92, Loss  0.612719, Average Loss  0.603565, Time  0.241066
2021-09-15 05:32:11.423629 : Epoch  8, Batch    241, Loss  0.601039, Average Loss  0.601951, Time  0.231371
2021-09-15 05:32:12.773365 : Epoch  7, Batch     93, Loss  0.609255, Average Loss  0.603598, Time  0.239739
2021-09-15 05:32:12.985617 : Epoch  8, Batch    242, Loss  0.608147, Average Loss  0.601963, Time  0.232132
2021-09-15 05:32:14.299355 : Epoch  7, Batch     94, Loss  0.593276, Average Loss  0.603579, Time  0.241410
2021-09-15 05:32:14.536558 : Epoch  8, Batch    243, Loss  0.598399, Average Loss  0.601905, Time  0.232125
2021-09-15 05:32:15.992794 : Epoch  7, Batch     95, Loss  0.594903, Average Loss  0.603488, Time  0.258121
2021-09-15 05:32:16.086410 : Epoch  8, Batch    244, Loss  0.606560, Average Loss  0.601928, Time  0.231385
2021-09-15 05:32:17.538045 : Epoch  7, Batch     96, Loss  0.604396, Average Loss  0.603475, Time  0.239461
2021-09-15 05:32:17.644397 : Epoch  8, Batch    245, Loss  0.598383, Average Loss  0.601894, Time  0.231893
2021-09-15 05:32:19.069426 : Epoch  7, Batch     97, Loss  0.605977, Average Loss  0.603490, Time  0.240429
2021-09-15 05:32:19.190636 : Epoch  8, Batch    246, Loss  0.606229, Average Loss  0.601906, Time  0.231001
2021-09-15 05:32:20.600777 : Epoch  7, Batch     98, Loss  0.602527, Average Loss  0.603487, Time  0.238742
2021-09-15 05:32:20.737286 : Epoch  8, Batch    247, Loss  0.607422, Average Loss  0.601893, Time  0.230846
2021-09-15 05:32:22.135665 : Epoch  7, Batch     99, Loss  0.598568, Average Loss  0.603464, Time  0.241443
2021-09-15 05:32:22.280034 : Epoch  8, Batch    248, Loss  0.600718, Average Loss  0.601882, Time  0.231800
2021-09-15 05:32:23.835425 : Epoch  8, Batch    249, Loss  0.596965, Average Loss  0.601847, Time  0.231613
2021-09-15 05:32:23.864925 : Epoch  7, Batch    100, Loss  0.605712, Average Loss  0.603459, Time  0.260701
2021-09-15 05:32:25.390410 : Epoch  8, Batch    250, Loss  0.602979, Average Loss  0.601914, Time  0.231324
2021-09-15 05:32:25.547631 : Epoch  7, Batch    101, Loss  0.608763, Average Loss  0.603468, Time  0.256956
2021-09-15 05:32:26.953215 : Epoch  8, Batch    251, Loss  0.605741, Average Loss  0.601947, Time  0.231776
2021-09-15 05:32:27.062769 : Epoch  7, Batch    102, Loss  0.603752, Average Loss  0.603447, Time  0.239833
2021-09-15 05:32:28.515436 : Epoch  8, Batch    252, Loss  0.600660, Average Loss  0.601938, Time  0.231535
2021-09-15 05:32:28.590386 : Epoch  7, Batch    103, Loss  0.595046, Average Loss  0.603400, Time  0.239405
2021-09-15 05:32:30.064418 : Epoch  8, Batch    253, Loss  0.606266, Average Loss  0.601966, Time  0.231818
2021-09-15 05:32:30.126963 : Epoch  7, Batch    104, Loss  0.602101, Average Loss  0.603433, Time  0.240058
2021-09-15 05:32:31.612240 : Epoch  8, Batch    254, Loss  0.601680, Average Loss  0.601965, Time  0.231262
2021-09-15 05:32:31.651819 : Epoch  7, Batch    105, Loss  0.605399, Average Loss  0.603435, Time  0.238019
2021-09-15 05:32:33.161866 : Epoch  8, Batch    255, Loss  0.598208, Average Loss  0.601884, Time  0.231843
2021-09-15 05:32:33.196148 : Epoch  7, Batch    106, Loss  0.593523, Average Loss  0.603351, Time  0.238099
2021-09-15 05:32:34.728367 : Epoch  8, Batch    256, Loss  0.589843, Average Loss  0.601745, Time  0.232148
2021-09-15 05:32:34.729174 : Epoch  7, Batch    107, Loss  0.625389, Average Loss  0.603474, Time  0.239255
2021-09-15 05:32:36.297115 : Epoch  7, Batch    108, Loss  0.598314, Average Loss  0.603509, Time  0.239783
2021-09-15 05:32:36.332281 : Epoch  8, Batch    257, Loss  0.599580, Average Loss  0.601814, Time  0.231483
2021-09-15 05:32:37.827763 : Epoch  7, Batch    109, Loss  0.598705, Average Loss  0.603526, Time  0.240807
2021-09-15 05:32:37.878684 : Epoch  8, Batch    258, Loss  0.597324, Average Loss  0.601757, Time  0.231389
2021-09-15 05:32:39.356816 : Epoch  7, Batch    110, Loss  0.609066, Average Loss  0.603605, Time  0.239754
2021-09-15 05:32:39.425782 : Epoch  8, Batch    259, Loss  0.609614, Average Loss  0.601777, Time  0.231458
2021-09-15 05:32:40.890859 : Epoch  7, Batch    111, Loss  0.592752, Average Loss  0.603533, Time  0.239436
2021-09-15 05:32:40.994121 : Epoch  8, Batch    260, Loss  0.601473, Average Loss  0.601799, Time  0.231189
2021-09-15 05:32:42.427480 : Epoch  7, Batch    112, Loss  0.608294, Average Loss  0.603503, Time  0.240038
2021-09-15 05:32:42.562078 : Epoch  8, Batch    261, Loss  0.597833, Average Loss  0.601774, Time  0.231430
2021-09-15 05:32:43.943802 : Epoch  7, Batch    113, Loss  0.617861, Average Loss  0.603573, Time  0.238280
2021-09-15 05:32:45.471380 : Epoch  7, Batch    114, Loss  0.590950, Average Loss  0.603533, Time  0.240179
2021-09-15 05:32:46.406882 : Epoch  8, Batch    262, Loss  0.604788, Average Loss  0.601832, Time  0.268587
2021-09-15 05:32:47.000384 : Epoch  7, Batch    115, Loss  0.603326, Average Loss  0.603526, Time  0.242639
2021-09-15 05:32:47.951276 : Epoch  8, Batch    263, Loss  0.595203, Average Loss  0.601756, Time  0.236953
2021-09-15 05:32:48.527630 : Epoch  7, Batch    116, Loss  0.603266, Average Loss  0.603548, Time  0.239648
2021-09-15 05:32:49.484527 : Epoch  8, Batch    264, Loss  0.610907, Average Loss  0.601800, Time  0.231169
2021-09-15 05:32:50.085194 : Epoch  7, Batch    117, Loss  0.611017, Average Loss  0.603589, Time  0.243161
2021-09-15 05:32:51.031542 : Epoch  8, Batch    265, Loss  0.609566, Average Loss  0.601788, Time  0.231582
2021-09-15 05:32:51.614951 : Epoch  7, Batch    118, Loss  0.597032, Average Loss  0.603571, Time  0.239647
2021-09-15 05:32:52.564999 : Epoch  8, Batch    266, Loss  0.604289, Average Loss  0.601784, Time  0.232285
2021-09-15 05:32:53.141935 : Epoch  7, Batch    119, Loss  0.602610, Average Loss  0.603543, Time  0.240081
2021-09-15 05:32:54.107120 : Epoch  8, Batch    267, Loss  0.598232, Average Loss  0.601736, Time  0.233737
2021-09-15 05:32:54.675938 : Epoch  7, Batch    120, Loss  0.608854, Average Loss  0.603590, Time  0.241927
2021-09-15 05:32:55.650605 : Epoch  8, Batch    268, Loss  0.588702, Average Loss  0.601663, Time  0.231440
2021-09-15 05:32:56.212614 : Epoch  7, Batch    121, Loss  0.608863, Average Loss  0.603628, Time  0.241168
2021-09-15 05:32:57.190359 : Epoch  8, Batch    269, Loss  0.605090, Average Loss  0.601695, Time  0.230897
2021-09-15 05:32:57.738764 : Epoch  7, Batch    122, Loss  0.614951, Average Loss  0.603677, Time  0.241542
2021-09-15 05:32:58.729916 : Epoch  8, Batch    270, Loss  0.603645, Average Loss  0.601749, Time  0.231612
2021-09-15 05:32:59.276061 : Epoch  7, Batch    123, Loss  0.594601, Average Loss  0.603626, Time  0.238899
2021-09-15 05:33:00.274619 : Epoch  8, Batch    271, Loss  0.614215, Average Loss  0.601810, Time  0.231212
2021-09-15 05:33:00.967176 : Epoch  7, Batch    124, Loss  0.603924, Average Loss  0.603623, Time  0.258986
2021-09-15 05:33:01.819377 : Epoch  8, Batch    272, Loss  0.607374, Average Loss  0.601899, Time  0.232183
2021-09-15 05:33:02.493810 : Epoch  7, Batch    125, Loss  0.613533, Average Loss  0.603720, Time  0.241366
2021-09-15 05:33:03.357620 : Epoch  8, Batch    273, Loss  0.610430, Average Loss  0.601928, Time  0.231208
2021-09-15 05:33:04.023933 : Epoch  7, Batch    126, Loss  0.603551, Average Loss  0.603713, Time  0.240874
2021-09-15 05:33:04.901256 : Epoch  8, Batch    274, Loss  0.589536, Average Loss  0.601846, Time  0.231510
2021-09-15 05:33:05.568395 : Epoch  7, Batch    127, Loss  0.587982, Average Loss  0.603663, Time  0.240979
2021-09-15 05:33:06.450846 : Epoch  8, Batch    275, Loss  0.584337, Average Loss  0.601750, Time  0.231131
2021-09-15 05:33:07.089927 : Epoch  7, Batch    128, Loss  0.609510, Average Loss  0.603723, Time  0.240988
2021-09-15 05:33:07.987693 : Epoch  8, Batch    276, Loss  0.597496, Average Loss  0.601691, Time  0.231144
2021-09-15 05:33:08.612802 : Epoch  7, Batch    129, Loss  0.614846, Average Loss  0.603824, Time  0.238649
2021-09-15 05:33:09.525396 : Epoch  8, Batch    277, Loss  0.608921, Average Loss  0.601690, Time  0.231061
2021-09-15 05:33:10.138062 : Epoch  7, Batch    130, Loss  0.596137, Average Loss  0.603764, Time  0.239785
2021-09-15 05:33:11.073409 : Epoch  8, Batch    278, Loss  0.619300, Average Loss  0.601747, Time  0.231153
2021-09-15 05:33:11.673936 : Epoch  7, Batch    131, Loss  0.603874, Average Loss  0.603818, Time  0.245890
2021-09-15 05:33:12.624850 : Epoch  8, Batch    279, Loss  0.600198, Average Loss  0.601754, Time  0.232338
2021-09-15 05:33:13.220934 : Epoch  7, Batch    132, Loss  0.599028, Average Loss  0.603835, Time  0.242032
2021-09-15 05:33:14.184390 : Epoch  8, Batch    280, Loss  0.607198, Average Loss  0.601756, Time  0.231331
2021-09-15 05:33:14.902830 : Epoch  7, Batch    133, Loss  0.602609, Average Loss  0.603849, Time  0.257516
2021-09-15 05:33:15.732349 : Epoch  8, Batch    281, Loss  0.601492, Average Loss  0.601794, Time  0.232046
2021-09-15 05:33:16.422414 : Epoch  7, Batch    134, Loss  0.606026, Average Loss  0.603873, Time  0.240839
2021-09-15 05:33:17.276574 : Epoch  8, Batch    282, Loss  0.600000, Average Loss  0.601824, Time  0.232141
2021-09-15 05:33:17.956869 : Epoch  7, Batch    135, Loss  0.604250, Average Loss  0.603915, Time  0.241068
2021-09-15 05:33:18.822510 : Epoch  8, Batch    283, Loss  0.609203, Average Loss  0.601894, Time  0.231257
2021-09-15 05:33:19.486152 : Epoch  7, Batch    136, Loss  0.592683, Average Loss  0.603853, Time  0.240942
2021-09-15 05:33:20.359383 : Epoch  8, Batch    284, Loss  0.594092, Average Loss  0.601762, Time  0.231423
2021-09-15 05:33:21.007786 : Epoch  7, Batch    137, Loss  0.607613, Average Loss  0.603822, Time  0.238293
2021-09-15 05:33:21.906642 : Epoch  8, Batch    285, Loss  0.603362, Average Loss  0.601788, Time  0.231464
2021-09-15 05:33:22.531068 : Epoch  7, Batch    138, Loss  0.597119, Average Loss  0.603786, Time  0.240675
2021-09-15 05:33:23.448875 : Epoch  8, Batch    286, Loss  0.584759, Average Loss  0.601701, Time  0.231482
2021-09-15 05:33:24.056440 : Epoch  7, Batch    139, Loss  0.605138, Average Loss  0.603802, Time  0.241113
2021-09-15 05:33:24.991022 : Epoch  8, Batch    287, Loss  0.603637, Average Loss  0.601714, Time  0.232663
2021-09-15 05:33:25.590822 : Epoch  7, Batch    140, Loss  0.605002, Average Loss  0.603775, Time  0.240607
2021-09-15 05:33:26.535393 : Epoch  8, Batch    288, Loss  0.599908, Average Loss  0.601706, Time  0.231087
2021-09-15 05:33:27.119930 : Epoch  7, Batch    141, Loss  0.598115, Average Loss  0.603688, Time  0.239457
2021-09-15 05:33:28.074144 : Epoch  8, Batch    289, Loss  0.611582, Average Loss  0.601789, Time  0.231508
2021-09-15 05:33:28.642840 : Epoch  7, Batch    142, Loss  0.598543, Average Loss  0.603653, Time  0.240141
2021-09-15 05:33:29.613455 : Epoch  8, Batch    290, Loss  0.593622, Average Loss  0.601795, Time  0.231485
2021-09-15 05:33:30.166384 : Epoch  7, Batch    143, Loss  0.599242, Average Loss  0.603606, Time  0.239321
2021-09-15 05:33:31.149896 : Epoch  8, Batch    291, Loss  0.605633, Average Loss  0.601773, Time  0.231554
2021-09-15 05:33:31.693394 : Epoch  7, Batch    144, Loss  0.598713, Average Loss  0.603540, Time  0.241057
2021-09-15 05:33:33.209873 : Epoch  7, Batch    145, Loss  0.600934, Average Loss  0.603469, Time  0.240886
2021-09-15 05:33:34.738157 : Epoch  7, Batch    146, Loss  0.622352, Average Loss  0.603586, Time  0.241800
2021-09-15 05:33:36.271478 : Epoch  7, Batch    147, Loss  0.596487, Average Loss  0.603565, Time  0.241357
2021-09-15 05:33:37.949450 : Epoch  7, Batch    148, Loss  0.613959, Average Loss  0.603592, Time  0.259142
2021-09-15 05:33:41.988792 : Epoch  7, Batch    149, Loss  0.603875, Average Loss  0.603574, Time  0.294509
2021-09-15 05:33:43.710704 : Epoch  7, Batch    150, Loss  0.596301, Average Loss  0.603573, Time  0.277755
2021-09-15 05:33:45.249736 : Epoch  7, Batch    151, Loss  0.606256, Average Loss  0.603599, Time  0.243603
2021-09-15 05:33:46.942416 : Epoch  7, Batch    152, Loss  0.607509, Average Loss  0.603618, Time  0.257380
2021-09-15 05:33:48.633323 : Epoch  7, Batch    153, Loss  0.593235, Average Loss  0.603624, Time  0.256999
2021-09-15 05:33:50.202443 : Epoch  7, Batch    154, Loss  0.593387, Average Loss  0.603553, Time  0.240208
2021-09-15 05:33:51.733946 : Epoch  7, Batch    155, Loss  0.591630, Average Loss  0.603444, Time  0.241834
2021-09-15 05:33:53.259415 : Epoch  7, Batch    156, Loss  0.602375, Average Loss  0.603446, Time  0.237726
2021-09-15 05:33:54.782014 : Epoch  7, Batch    157, Loss  0.603843, Average Loss  0.603440, Time  0.240707
2021-09-15 05:33:56.368938 : Epoch  7, Batch    158, Loss  0.599306, Average Loss  0.603464, Time  0.244361
2021-09-15 05:33:57.912192 : Epoch  7, Batch    159, Loss  0.589938, Average Loss  0.603411, Time  0.241304
2021-09-15 05:33:59.460818 : Epoch  7, Batch    160, Loss  0.604969, Average Loss  0.603444, Time  0.240790
2021-09-15 05:34:01.033959 : Epoch  7, Batch    161, Loss  0.609315, Average Loss  0.603513, Time  0.241155
2021-09-15 05:34:02.556714 : Epoch  7, Batch    162, Loss  0.595917, Average Loss  0.603466, Time  0.238556
2021-09-15 05:34:04.098320 : Epoch  7, Batch    163, Loss  0.597546, Average Loss  0.603469, Time  0.239715
2021-09-15 05:34:05.769424 : Epoch  7, Batch    164, Loss  0.607687, Average Loss  0.603536, Time  0.256651
2021-09-15 05:34:07.301931 : Epoch  7, Batch    165, Loss  0.605595, Average Loss  0.603535, Time  0.238740
2021-09-15 05:34:08.828313 : Epoch  7, Batch    166, Loss  0.603275, Average Loss  0.603517, Time  0.238228
2021-09-15 05:34:10.515936 : Epoch  7, Batch    167, Loss  0.604892, Average Loss  0.603498, Time  0.261222
2021-09-15 05:34:12.201150 : Epoch  7, Batch    168, Loss  0.603156, Average Loss  0.603472, Time  0.257453
2021-09-15 05:34:13.726773 : Epoch  7, Batch    169, Loss  0.601890, Average Loss  0.603399, Time  0.239518
2021-09-15 05:34:15.413044 : Epoch  7, Batch    170, Loss  0.592076, Average Loss  0.603284, Time  0.263745
2021-09-15 05:34:17.100022 : Epoch  7, Batch    171, Loss  0.609845, Average Loss  0.603330, Time  0.260446
2021-09-15 05:34:18.770962 : Epoch  7, Batch    172, Loss  0.589810, Average Loss  0.603253, Time  0.257382
2021-09-15 05:34:20.452386 : Epoch  7, Batch    173, Loss  0.597037, Average Loss  0.603157, Time  0.269186
2021-09-15 05:34:21.985945 : Epoch  7, Batch    174, Loss  0.608714, Average Loss  0.603208, Time  0.240359
2021-09-15 05:34:23.510842 : Epoch  7, Batch    175, Loss  0.602551, Average Loss  0.603173, Time  0.239354
2021-09-15 05:34:25.021164 : Epoch  7, Batch    176, Loss  0.600248, Average Loss  0.603148, Time  0.238251
2021-09-15 05:34:26.539387 : Epoch  7, Batch    177, Loss  0.604330, Average Loss  0.603108, Time  0.237713
2021-09-15 05:34:28.066289 : Epoch  7, Batch    178, Loss  0.599348, Average Loss  0.603098, Time  0.241919
2021-09-15 05:34:29.309713 : CheckPoint: Validation Loss  0.00025754, Best Loss  0.00024571
2021-09-15 05:34:30.866431 : Epoch  8, Batch    292, Loss  0.622039, Average Loss  0.601859, Time  0.233252
2021-09-15 05:34:32.416456 : Epoch  8, Batch    293, Loss  0.600561, Average Loss  0.601882, Time  0.231043
2021-09-15 05:34:33.971165 : Epoch  8, Batch    294, Loss  0.600893, Average Loss  0.601890, Time  0.231146
2021-09-15 05:34:35.525890 : Epoch  8, Batch    295, Loss  0.613912, Average Loss  0.601895, Time  0.231565
2021-09-15 05:34:37.086996 : Epoch  8, Batch    296, Loss  0.601334, Average Loss  0.601873, Time  0.231040
2021-09-15 05:34:38.630815 : Epoch  8, Batch    297, Loss  0.596088, Average Loss  0.601832, Time  0.231782
2021-09-15 05:34:40.179403 : Epoch  8, Batch    298, Loss  0.600833, Average Loss  0.601817, Time  0.231060
2021-09-15 05:34:41.731252 : Epoch  8, Batch    299, Loss  0.586185, Average Loss  0.601740, Time  0.231631
2021-09-15 05:34:43.286780 : Epoch  8, Batch    300, Loss  0.610499, Average Loss  0.601768, Time  0.231819
2021-09-15 05:34:44.834048 : Epoch  8, Batch    301, Loss  0.600835, Average Loss  0.601795, Time  0.231452
2021-09-15 05:34:46.383889 : Epoch  8, Batch    302, Loss  0.610133, Average Loss  0.601907, Time  0.231674
2021-09-15 05:34:47.935352 : Epoch  8, Batch    303, Loss  0.601112, Average Loss  0.601925, Time  0.234181
2021-09-15 05:34:49.479084 : Epoch  8, Batch    304, Loss  0.595433, Average Loss  0.601896, Time  0.231480
2021-09-15 05:34:51.012716 : Epoch  8, Batch    305, Loss  0.604616, Average Loss  0.601906, Time  0.231283
2021-09-15 05:34:52.562823 : Epoch  8, Batch    306, Loss  0.597627, Average Loss  0.601907, Time  0.231358
2021-09-15 05:34:54.128131 : Epoch  8, Batch    307, Loss  0.610667, Average Loss  0.601932, Time  0.232084
2021-09-15 05:34:55.685053 : Epoch  8, Batch    308, Loss  0.607547, Average Loss  0.602023, Time  0.232440
2021-09-15 05:34:57.226158 : Epoch  8, Batch    309, Loss  0.603954, Average Loss  0.602021, Time  0.231020
2021-09-15 05:34:58.767092 : Epoch  8, Batch    310, Loss  0.602815, Average Loss  0.601988, Time  0.231830
2021-09-15 05:35:00.329223 : Epoch  8, Batch    311, Loss  0.592786, Average Loss  0.601920, Time  0.232870
2021-09-15 05:35:01.874133 : Epoch  8, Batch    312, Loss  0.618685, Average Loss  0.601999, Time  0.232660
2021-09-15 05:35:03.418381 : Epoch  8, Batch    313, Loss  0.589226, Average Loss  0.601931, Time  0.231368
2021-09-15 05:35:04.970234 : Epoch  8, Batch    314, Loss  0.593427, Average Loss  0.601841, Time  0.231932
2021-09-15 05:35:06.515204 : Epoch  8, Batch    315, Loss  0.605772, Average Loss  0.601879, Time  0.235666
2021-09-15 05:35:08.053832 : Epoch  8, Batch    316, Loss  0.595446, Average Loss  0.601828, Time  0.231430
2021-09-15 05:35:09.612254 : Epoch  8, Batch    317, Loss  0.591084, Average Loss  0.601756, Time  0.231741
2021-09-15 05:35:09.940163 : CheckPoint: Validation Loss  0.00029833, Best Loss  0.00029626
2021-09-15 05:35:11.156043 : Epoch  8, Batch    318, Loss  0.605860, Average Loss  0.601786, Time  0.231369
2021-09-15 05:35:12.702042 : Epoch  8, Batch    319, Loss  0.609311, Average Loss  0.601830, Time  0.231643
2021-09-15 05:35:12.917203 : Epoch  2, Batch    245, Loss  0.868592, Average Loss  0.871908, Time  0.266236
2021-09-15 05:35:14.243922 : Epoch  8, Batch    320, Loss  0.588693, Average Loss  0.601782, Time  0.231245
2021-09-15 05:35:15.789783 : Epoch  8, Batch    321, Loss  0.604504, Average Loss  0.601739, Time  0.231418
2021-09-15 05:35:15.908856 : Epoch  2, Batch    246, Loss  0.872620, Average Loss  0.871752, Time  0.264409
2021-09-15 05:35:17.342553 : Epoch  8, Batch    322, Loss  0.593584, Average Loss  0.601665, Time  0.230860
2021-09-15 05:35:18.881670 : Epoch  2, Batch    247, Loss  0.865645, Average Loss  0.871633, Time  0.266075
2021-09-15 05:35:18.905008 : Epoch  8, Batch    323, Loss  0.604243, Average Loss  0.601732, Time  0.233094
2021-09-15 05:35:20.437928 : Epoch  8, Batch    324, Loss  0.598042, Average Loss  0.601743, Time  0.231294
2021-09-15 05:35:21.878407 : Epoch  2, Batch    248, Loss  0.867556, Average Loss  0.871536, Time  0.265039
2021-09-15 05:35:21.988376 : Epoch  8, Batch    325, Loss  0.614842, Average Loss  0.601848, Time  0.231870
2021-09-15 05:35:23.525090 : Epoch  8, Batch    326, Loss  0.598761, Average Loss  0.601879, Time  0.232725
2021-09-15 05:35:24.872580 : Epoch  2, Batch    249, Loss  0.878329, Average Loss  0.871664, Time  0.266093
2021-09-15 05:35:25.066282 : Epoch  8, Batch    327, Loss  0.593563, Average Loss  0.601806, Time  0.231710
2021-09-15 05:35:26.601013 : Epoch  8, Batch    328, Loss  0.618456, Average Loss  0.601943, Time  0.233016
2021-09-15 05:35:27.892956 : Epoch  2, Batch    250, Loss  0.881924, Average Loss  0.871741, Time  0.273505
2021-09-15 05:35:28.145004 : Epoch  8, Batch    329, Loss  0.601608, Average Loss  0.601953, Time  0.231637
2021-09-15 05:35:29.690077 : Epoch  8, Batch    330, Loss  0.597368, Average Loss  0.601913, Time  0.231563
2021-09-15 05:35:30.444748 : CheckPoint: Validation Loss  0.00025204, Best Loss  0.00024341
2021-09-15 05:35:30.920419 : Epoch  2, Batch    251, Loss  0.867502, Average Loss  0.871737, Time  0.264569
2021-09-15 05:35:31.242366 : Epoch  8, Batch    331, Loss  0.611848, Average Loss  0.601897, Time  0.231261
2021-09-15 05:35:32.121913 : Epoch  7, Batch    179, Loss  0.606877, Average Loss  0.603129, Time  0.259247
2021-09-15 05:35:32.777062 : Epoch  8, Batch    332, Loss  0.592602, Average Loss  0.601895, Time  0.231455
2021-09-15 05:35:33.792843 : Epoch  7, Batch    180, Loss  0.607274, Average Loss  0.603154, Time  0.257366
2021-09-15 05:35:33.923271 : Epoch  2, Batch    252, Loss  0.879824, Average Loss  0.871850, Time  0.265749
2021-09-15 05:35:34.334445 : Epoch  8, Batch    333, Loss  0.600435, Average Loss  0.601960, Time  0.232412
2021-09-15 05:35:35.466027 : Epoch  7, Batch    181, Loss  0.603762, Average Loss  0.603143, Time  0.259653
2021-09-15 05:35:35.613025 : Epoch  7, Batch    182, Loss  0.787516, Average Loss  0.604083, Time  0.098326
2021-09-15 05:35:35.863062 : Epoch  8, Batch    334, Loss  0.593253, Average Loss  0.601922, Time  0.231511
2021-09-15 05:35:36.914261 : Epoch  2, Batch    253, Loss  0.894341, Average Loss  0.871990, Time  0.264419
2021-09-15 05:35:37.139380 : Epoch  7, Batch    183, Loss  0.611600, Average Loss  0.604132, Time  0.240831
2021-09-15 05:35:37.394128 : Epoch  8, Batch    335, Loss  0.615257, Average Loss  0.602006, Time  0.231199
2021-09-15 05:35:38.646986 : Epoch  7, Batch    184, Loss  0.624085, Average Loss  0.604275, Time  0.239016
2021-09-15 05:35:38.926868 : Epoch  8, Batch    336, Loss  0.597076, Average Loss  0.602049, Time  0.231611
2021-09-15 05:35:39.883166 : Epoch  2, Batch    254, Loss  0.876133, Average Loss  0.872019, Time  0.266301
2021-09-15 05:35:40.176528 : Epoch  7, Batch    185, Loss  0.617877, Average Loss  0.604325, Time  0.245398
2021-09-15 05:35:40.504108 : Epoch  8, Batch    337, Loss  0.607014, Average Loss  0.602004, Time  0.232115
2021-09-15 05:35:41.839031 : Epoch  7, Batch    186, Loss  0.627180, Average Loss  0.604425, Time  0.258056
2021-09-15 05:35:42.027904 : Epoch  8, Batch    338, Loss  0.589285, Average Loss  0.601895, Time  0.231279
2021-09-15 05:35:42.906449 : Epoch  2, Batch    255, Loss  0.880377, Average Loss  0.872027, Time  0.264325
2021-09-15 05:35:43.364994 : Epoch  7, Batch    187, Loss  0.632229, Average Loss  0.604574, Time  0.239693
2021-09-15 05:35:43.566995 : Epoch  8, Batch    339, Loss  0.587445, Average Loss  0.601800, Time  0.233447
2021-09-15 05:35:44.866839 : Epoch  7, Batch    188, Loss  0.626283, Average Loss  0.604718, Time  0.239853
2021-09-15 05:35:45.115962 : Epoch  8, Batch    340, Loss  0.598122, Average Loss  0.601753, Time  0.232124
2021-09-15 05:35:45.929402 : Epoch  2, Batch    256, Loss  0.857366, Average Loss  0.871923, Time  0.265294
2021-09-15 05:35:46.562872 : Epoch  7, Batch    189, Loss  0.630424, Average Loss  0.604817, Time  0.259510
2021-09-15 05:35:46.656175 : Epoch  8, Batch    341, Loss  0.598023, Average Loss  0.601721, Time  0.231206
2021-09-15 05:35:48.183840 : Epoch  8, Batch    342, Loss  0.602727, Average Loss  0.601735, Time  0.231336
2021-09-15 05:35:48.240461 : Epoch  7, Batch    190, Loss  0.623780, Average Loss  0.604912, Time  0.256945
2021-09-15 05:35:48.915439 : Epoch  2, Batch    257, Loss  0.875889, Average Loss  0.871852, Time  0.264506
2021-09-15 05:35:49.726067 : Epoch  8, Batch    343, Loss  0.600635, Average Loss  0.601720, Time  0.231627
2021-09-15 05:35:49.906970 : Epoch  7, Batch    191, Loss  0.621550, Average Loss  0.604976, Time  0.259546
2021-09-15 05:35:51.274834 : Epoch  8, Batch    344, Loss  0.592660, Average Loss  0.601630, Time  0.231391
2021-09-15 05:35:51.562782 : Epoch  7, Batch    192, Loss  0.619366, Average Loss  0.605078, Time  0.241648
2021-09-15 05:35:51.939962 : Epoch  2, Batch    258, Loss  0.875895, Average Loss  0.871975, Time  0.265361
2021-09-15 05:35:52.824272 : Epoch  8, Batch    345, Loss  0.591491, Average Loss  0.601586, Time  0.231806
2021-09-15 05:35:53.088966 : Epoch  7, Batch    193, Loss  0.610182, Average Loss  0.605165, Time  0.239982
2021-09-15 05:35:54.370365 : Epoch  8, Batch    346, Loss  0.609149, Average Loss  0.601606, Time  0.231177
2021-09-15 05:35:54.594136 : Epoch  7, Batch    194, Loss  0.618791, Average Loss  0.605262, Time  0.239120
2021-09-15 05:35:54.928495 : Epoch  2, Batch    259, Loss  0.857168, Average Loss  0.871887, Time  0.265300
2021-09-15 05:35:55.922434 : Epoch  8, Batch    347, Loss  0.611399, Average Loss  0.601618, Time  0.231781
2021-09-15 05:35:56.106804 : Epoch  7, Batch    195, Loss  0.621580, Average Loss  0.605398, Time  0.238704
2021-09-15 05:35:57.462909 : Epoch  8, Batch    348, Loss  0.608855, Average Loss  0.601693, Time  0.231477
2021-09-15 05:35:57.616195 : Epoch  7, Batch    196, Loss  0.617046, Average Loss  0.605477, Time  0.239612
2021-09-15 05:35:57.910103 : Epoch  2, Batch    260, Loss  0.874086, Average Loss  0.871860, Time  0.265738
2021-09-15 05:35:59.009210 : Epoch  8, Batch    349, Loss  0.596737, Average Loss  0.601663, Time  0.231721
2021-09-15 05:35:59.122951 : Epoch  7, Batch    197, Loss  0.618797, Average Loss  0.605567, Time  0.239253
2021-09-15 05:36:00.561291 : Epoch  8, Batch    350, Loss  0.594709, Average Loss  0.601663, Time  0.231373
2021-09-15 05:36:00.636931 : Epoch  7, Batch    198, Loss  0.620703, Average Loss  0.605631, Time  0.237965
2021-09-15 05:36:00.925375 : Epoch  2, Batch    261, Loss  0.868775, Average Loss  0.871822, Time  0.264213
2021-09-15 05:36:02.104571 : Epoch  8, Batch    351, Loss  0.589600, Average Loss  0.601621, Time  0.231344
2021-09-15 05:36:02.176858 : Epoch  7, Batch    199, Loss  0.617339, Average Loss  0.605707, Time  0.242010
2021-09-15 05:36:03.645149 : Epoch  8, Batch    352, Loss  0.601818, Average Loss  0.601624, Time  0.231985
2021-09-15 05:36:03.699005 : Epoch  7, Batch    200, Loss  0.615266, Average Loss  0.605742, Time  0.240332
2021-09-15 05:36:03.914616 : Epoch  2, Batch    262, Loss  0.875609, Average Loss  0.871789, Time  0.264636
2021-09-15 05:36:05.185971 : Epoch  8, Batch    353, Loss  0.596843, Average Loss  0.601623, Time  0.231751
2021-09-15 05:36:05.223802 : Epoch  7, Batch    201, Loss  0.616330, Average Loss  0.605795, Time  0.242072
2021-09-15 05:36:06.729778 : Epoch  8, Batch    354, Loss  0.593954, Average Loss  0.601612, Time  0.231454
2021-09-15 05:36:06.757368 : Epoch  7, Batch    202, Loss  0.605718, Average Loss  0.605785, Time  0.238821
2021-09-15 05:36:06.900500 : Epoch  2, Batch    263, Loss  0.886265, Average Loss  0.871890, Time  0.264984
2021-09-15 05:36:08.269974 : Epoch  7, Batch    203, Loss  0.610980, Average Loss  0.605802, Time  0.238701
2021-09-15 05:36:08.300151 : Epoch  8, Batch    355, Loss  0.598312, Average Loss  0.601602, Time  0.232635
2021-09-15 05:36:09.795005 : Epoch  7, Batch    204, Loss  0.610529, Average Loss  0.605845, Time  0.238314
2021-09-15 05:36:09.838401 : Epoch  8, Batch    356, Loss  0.605662, Average Loss  0.601697, Time  0.232185
2021-09-15 05:36:09.892303 : Epoch  2, Batch    264, Loss  0.888216, Average Loss  0.871914, Time  0.265113
2021-09-15 05:36:11.335818 : Epoch  7, Batch    205, Loss  0.620562, Average Loss  0.605888, Time  0.240554
2021-09-15 05:36:11.380575 : Epoch  8, Batch    357, Loss  0.593473, Average Loss  0.601605, Time  0.231604
2021-09-15 05:36:12.856369 : Epoch  7, Batch    206, Loss  0.610822, Average Loss  0.605960, Time  0.237415
2021-09-15 05:36:12.923994 : Epoch  8, Batch    358, Loss  0.602824, Average Loss  0.601606, Time  0.233744
2021-09-15 05:36:12.934515 : Epoch  2, Batch    265, Loss  0.862299, Average Loss  0.872003, Time  0.276514
2021-09-15 05:36:14.388411 : Epoch  7, Batch    207, Loss  0.612998, Average Loss  0.606004, Time  0.238771
2021-09-15 05:36:14.462620 : Epoch  8, Batch    359, Loss  0.600279, Average Loss  0.601588, Time  0.230810
2021-09-15 05:36:15.911637 : Epoch  7, Batch    208, Loss  0.618467, Average Loss  0.606065, Time  0.238460
2021-09-15 05:36:15.977452 : Epoch  2, Batch    266, Loss  0.879594, Average Loss  0.871993, Time  0.265760
2021-09-15 05:36:16.007322 : Epoch  8, Batch    360, Loss  0.604013, Average Loss  0.601610, Time  0.231443
2021-09-15 05:36:17.434848 : Epoch  7, Batch    209, Loss  0.603887, Average Loss  0.606098, Time  0.239630
2021-09-15 05:36:17.564353 : Epoch  8, Batch    361, Loss  0.600553, Average Loss  0.601472, Time  0.232716
2021-09-15 05:36:18.957839 : Epoch  7, Batch    210, Loss  0.615281, Average Loss  0.606153, Time  0.237932
2021-09-15 05:36:18.978497 : Epoch  2, Batch    267, Loss  0.858549, Average Loss  0.871903, Time  0.265903
2021-09-15 05:36:20.502424 : Epoch  7, Batch    211, Loss  0.613272, Average Loss  0.606137, Time  0.241178
2021-09-15 05:36:21.468395 : Epoch  8, Batch    362, Loss  0.602118, Average Loss  0.601477, Time  0.268175
2021-09-15 05:36:21.996929 : Epoch  2, Batch    268, Loss  0.888780, Average Loss  0.871969, Time  0.264516
2021-09-15 05:36:22.036430 : Epoch  7, Batch    212, Loss  0.593014, Average Loss  0.606061, Time  0.238399
2021-09-15 05:36:23.014978 : Epoch  8, Batch    363, Loss  0.592061, Average Loss  0.601389, Time  0.246642
2021-09-15 05:36:23.717382 : Epoch  7, Batch    213, Loss  0.600803, Average Loss  0.606078, Time  0.258198
2021-09-15 05:36:24.561946 : Epoch  8, Batch    364, Loss  0.591025, Average Loss  0.601325, Time  0.231658
2021-09-15 05:36:25.007975 : Epoch  2, Batch    269, Loss  0.863384, Average Loss  0.871902, Time  0.265308
2021-09-15 05:36:25.381105 : Epoch  7, Batch    214, Loss  0.597704, Average Loss  0.606008, Time  0.242818
2021-09-15 05:36:26.090923 : Epoch  8, Batch    365, Loss  0.607181, Average Loss  0.601389, Time  0.231199
2021-09-15 05:36:26.909111 : Epoch  7, Batch    215, Loss  0.614983, Average Loss  0.606031, Time  0.240939
2021-09-15 05:36:27.625145 : Epoch  8, Batch    366, Loss  0.596987, Average Loss  0.601347, Time  0.231460
2021-09-15 05:36:28.015780 : Epoch  2, Batch    270, Loss  0.874290, Average Loss  0.871949, Time  0.265336
2021-09-15 05:36:28.437838 : Epoch  7, Batch    216, Loss  0.603491, Average Loss  0.606092, Time  0.240654
2021-09-15 05:36:29.169100 : Epoch  8, Batch    367, Loss  0.598741, Average Loss  0.601301, Time  0.231576
2021-09-15 05:36:29.975894 : Epoch  7, Batch    217, Loss  0.606878, Average Loss  0.606087, Time  0.240617
2021-09-15 05:36:30.711533 : Epoch  8, Batch    368, Loss  0.603475, Average Loss  0.601323, Time  0.231746
2021-09-15 05:36:31.045994 : Epoch  2, Batch    271, Loss  0.868900, Average Loss  0.871957, Time  0.265417
2021-09-15 05:36:31.523838 : Epoch  7, Batch    218, Loss  0.610924, Average Loss  0.606109, Time  0.240644
2021-09-15 05:36:32.259599 : Epoch  8, Batch    369, Loss  0.602498, Average Loss  0.601307, Time  0.232061
2021-09-15 05:36:33.036751 : Epoch  7, Batch    219, Loss  0.596473, Average Loss  0.606142, Time  0.238688
2021-09-15 05:36:33.798414 : Epoch  8, Batch    370, Loss  0.607076, Average Loss  0.601285, Time  0.231222
2021-09-15 05:36:34.058035 : Epoch  2, Batch    272, Loss  0.878145, Average Loss  0.871966, Time  0.267019
2021-09-15 05:36:34.562934 : Epoch  7, Batch    220, Loss  0.602051, Average Loss  0.606124, Time  0.240228
2021-09-15 05:36:35.337366 : Epoch  8, Batch    371, Loss  0.602795, Average Loss  0.601229, Time  0.231308
2021-09-15 05:36:36.095806 : Epoch  7, Batch    221, Loss  0.605244, Average Loss  0.606192, Time  0.241876
2021-09-15 05:36:36.902817 : Epoch  8, Batch    372, Loss  0.606594, Average Loss  0.601253, Time  0.231206
2021-09-15 05:36:37.051338 : Epoch  2, Batch    273, Loss  0.876282, Average Loss  0.872003, Time  0.265536
2021-09-15 05:36:37.634856 : Epoch  7, Batch    222, Loss  0.604029, Average Loss  0.606154, Time  0.240903
2021-09-15 05:36:38.450235 : Epoch  8, Batch    373, Loss  0.597128, Average Loss  0.601297, Time  0.231758
2021-09-15 05:36:39.161458 : Epoch  7, Batch    223, Loss  0.613341, Average Loss  0.606180, Time  0.241030
2021-09-15 05:36:39.977861 : Epoch  8, Batch    374, Loss  0.605731, Average Loss  0.601305, Time  0.231422
2021-09-15 05:36:40.034798 : Epoch  2, Batch    274, Loss  0.856681, Average Loss  0.871924, Time  0.265127
2021-09-15 05:36:40.686819 : Epoch  7, Batch    224, Loss  0.614982, Average Loss  0.606257, Time  0.239136
2021-09-15 05:36:41.523412 : Epoch  8, Batch    375, Loss  0.601661, Average Loss  0.601328, Time  0.231170
2021-09-15 05:36:42.215108 : Epoch  7, Batch    225, Loss  0.604901, Average Loss  0.606260, Time  0.239842
2021-09-15 05:36:43.047778 : Epoch  2, Batch    275, Loss  0.879378, Average Loss  0.871931, Time  0.264512
2021-09-15 05:36:43.079930 : Epoch  8, Batch    376, Loss  0.611142, Average Loss  0.601376, Time  0.231413
2021-09-15 05:36:43.889946 : Epoch  7, Batch    226, Loss  0.605015, Average Loss  0.606238, Time  0.257508
2021-09-15 05:36:44.619431 : Epoch  8, Batch    377, Loss  0.602719, Average Loss  0.601377, Time  0.231070
2021-09-15 05:36:45.586546 : Epoch  7, Batch    227, Loss  0.615795, Average Loss  0.606314, Time  0.259895
2021-09-15 05:36:46.035289 : Epoch  2, Batch    276, Loss  0.856945, Average Loss  0.871852, Time  0.266553
2021-09-15 05:36:46.172839 : Epoch  8, Batch    378, Loss  0.592783, Average Loss  0.601327, Time  0.231406
2021-09-15 05:36:47.107353 : Epoch  7, Batch    228, Loss  0.602128, Average Loss  0.606294, Time  0.237355
2021-09-15 05:36:47.702154 : Epoch  8, Batch    379, Loss  0.590165, Average Loss  0.601250, Time  0.231336
2021-09-15 05:36:48.625043 : Epoch  7, Batch    229, Loss  0.603174, Average Loss  0.606277, Time  0.238023
2021-09-15 05:36:49.050065 : Epoch  2, Batch    277, Loss  0.856793, Average Loss  0.871856, Time  0.264329
2021-09-15 05:36:49.252201 : Epoch  8, Batch    380, Loss  0.598245, Average Loss  0.601260, Time  0.234362
2021-09-15 05:36:50.152870 : Epoch  7, Batch    230, Loss  0.604240, Average Loss  0.606310, Time  0.241142
2021-09-15 05:36:50.782718 : Epoch  8, Batch    381, Loss  0.600169, Average Loss  0.601211, Time  0.231630
2021-09-15 05:36:51.695929 : Epoch  7, Batch    231, Loss  0.607472, Average Loss  0.606373, Time  0.241264
2021-09-15 05:36:52.065226 : Epoch  2, Batch    278, Loss  0.837900, Average Loss  0.871744, Time  0.265582
2021-09-15 05:36:52.335076 : Epoch  8, Batch    382, Loss  0.610710, Average Loss  0.601284, Time  0.231676
2021-09-15 05:36:53.210931 : Epoch  7, Batch    232, Loss  0.608810, Average Loss  0.606385, Time  0.240242
2021-09-15 05:36:53.882348 : Epoch  8, Batch    383, Loss  0.601793, Average Loss  0.601321, Time  0.232024
2021-09-15 05:36:54.728077 : Epoch  7, Batch    233, Loss  0.598593, Average Loss  0.606293, Time  0.239554
2021-09-15 05:36:55.040106 : Epoch  2, Batch    279, Loss  0.900368, Average Loss  0.872015, Time  0.265075
2021-09-15 05:36:55.422208 : Epoch  8, Batch    384, Loss  0.597482, Average Loss  0.601249, Time  0.231249
2021-09-15 05:36:56.243952 : Epoch  7, Batch    234, Loss  0.607193, Average Loss  0.606310, Time  0.240116
2021-09-15 05:36:56.951629 : Epoch  8, Batch    385, Loss  0.592881, Average Loss  0.601231, Time  0.231409
2021-09-15 05:36:57.782811 : Epoch  7, Batch    235, Loss  0.602045, Average Loss  0.606326, Time  0.239708
2021-09-15 05:36:58.046404 : Epoch  2, Batch    280, Loss  0.868608, Average Loss  0.872022, Time  0.277613
2021-09-15 05:36:58.495664 : Epoch  8, Batch    386, Loss  0.605991, Average Loss  0.601233, Time  0.231146
2021-09-15 05:36:59.303989 : Epoch  7, Batch    236, Loss  0.617617, Average Loss  0.606403, Time  0.240041
2021-09-15 05:37:00.027692 : Epoch  8, Batch    387, Loss  0.589625, Average Loss  0.601190, Time  0.231305
2021-09-15 05:37:00.849686 : Epoch  7, Batch    237, Loss  0.606343, Average Loss  0.606411, Time  0.263941
2021-09-15 05:37:01.036077 : Epoch  2, Batch    281, Loss  0.856905, Average Loss  0.872003, Time  0.265898
2021-09-15 05:37:01.566821 : Epoch  8, Batch    388, Loss  0.608927, Average Loss  0.601210, Time  0.231685
2021-09-15 05:37:02.522815 : Epoch  7, Batch    238, Loss  0.611432, Average Loss  0.606459, Time  0.259549
2021-09-15 05:37:03.118376 : Epoch  8, Batch    389, Loss  0.596969, Average Loss  0.601196, Time  0.231270
2021-09-15 05:37:04.024758 : Epoch  2, Batch    282, Loss  0.864010, Average Loss  0.871868, Time  0.264574
2021-09-15 05:37:04.198180 : Epoch  7, Batch    239, Loss  0.602636, Average Loss  0.606474, Time  0.258663
2021-09-15 05:37:04.669352 : Epoch  8, Batch    390, Loss  0.604796, Average Loss  0.601162, Time  0.230675
2021-09-15 05:37:05.743907 : Epoch  7, Batch    240, Loss  0.596354, Average Loss  0.606495, Time  0.241089
2021-09-15 05:37:06.201590 : Epoch  8, Batch    391, Loss  0.611921, Average Loss  0.601265, Time  0.231125
2021-09-15 05:37:07.034328 : Epoch  2, Batch    283, Loss  0.889966, Average Loss  0.872005, Time  0.265391
2021-09-15 05:37:07.417379 : Epoch  7, Batch    241, Loss  0.595173, Average Loss  0.606474, Time  0.257751
2021-09-15 05:37:09.093865 : Epoch  7, Batch    242, Loss  0.603707, Average Loss  0.606496, Time  0.257885
2021-09-15 05:37:10.052236 : Epoch  2, Batch    284, Loss  0.879418, Average Loss  0.871990, Time  0.265727
2021-09-15 05:37:10.642273 : Epoch  7, Batch    243, Loss  0.603816, Average Loss  0.606476, Time  0.238091
2021-09-15 05:37:12.205598 : Epoch  7, Batch    244, Loss  0.601983, Average Loss  0.606400, Time  0.237046
2021-09-15 05:37:13.065298 : Epoch  2, Batch    285, Loss  0.864912, Average Loss  0.871921, Time  0.264613
2021-09-15 05:37:13.718140 : Epoch  7, Batch    245, Loss  0.601087, Average Loss  0.606382, Time  0.236465
2021-09-15 05:37:15.249013 : Epoch  7, Batch    246, Loss  0.593632, Average Loss  0.606348, Time  0.242717
2021-09-15 05:37:16.048369 : Epoch  2, Batch    286, Loss  0.856689, Average Loss  0.871865, Time  0.265496
2021-09-15 05:37:16.816501 : Epoch  7, Batch    247, Loss  0.605862, Average Loss  0.606302, Time  0.239899
2021-09-15 05:37:18.340378 : Epoch  7, Batch    248, Loss  0.592781, Average Loss  0.606243, Time  0.238896
2021-09-15 05:37:19.067795 : Epoch  2, Batch    287, Loss  0.873490, Average Loss  0.871890, Time  0.265922
2021-09-15 05:37:19.874902 : Epoch  7, Batch    249, Loss  0.603458, Average Loss  0.606233, Time  0.242583
2021-09-15 05:37:22.054056 : Epoch  2, Batch    288, Loss  0.889678, Average Loss  0.871999, Time  0.264656
2021-09-15 05:37:23.782957 : Epoch  7, Batch    250, Loss  0.601214, Average Loss  0.606196, Time  0.278911
2021-09-15 05:37:25.073507 : Epoch  2, Batch    289, Loss  0.857760, Average Loss  0.871856, Time  0.264888
2021-09-15 05:37:25.324435 : Epoch  7, Batch    251, Loss  0.600575, Average Loss  0.606192, Time  0.259803
2021-09-15 05:37:27.040917 : Epoch  7, Batch    252, Loss  0.609006, Average Loss  0.606237, Time  0.265714
2021-09-15 05:37:28.068443 : Epoch  2, Batch    290, Loss  0.868971, Average Loss  0.871889, Time  0.265867
2021-09-15 05:37:28.728507 : Epoch  7, Batch    253, Loss  0.613267, Average Loss  0.606260, Time  0.256737
2021-09-15 05:37:30.257728 : Epoch  7, Batch    254, Loss  0.603595, Average Loss  0.606257, Time  0.238754
2021-09-15 05:37:31.069555 : Epoch  2, Batch    291, Loss  0.866062, Average Loss  0.871804, Time  0.264345
2021-09-15 05:37:31.790874 : Epoch  7, Batch    255, Loss  0.617368, Average Loss  0.606398, Time  0.238640
2021-09-15 05:37:33.339346 : Epoch  7, Batch    256, Loss  0.618641, Average Loss  0.606479, Time  0.240654
2021-09-15 05:37:34.097158 : Epoch  2, Batch    292, Loss  0.887869, Average Loss  0.871780, Time  0.265061
2021-09-15 05:37:34.883322 : Epoch  7, Batch    257, Loss  0.608722, Average Loss  0.606523, Time  0.238822
2021-09-15 05:37:36.419309 : Epoch  7, Batch    258, Loss  0.616556, Average Loss  0.606605, Time  0.239338
2021-09-15 05:37:37.099680 : Epoch  2, Batch    293, Loss  0.886323, Average Loss  0.871737, Time  0.264887
2021-09-15 05:37:37.950493 : Epoch  7, Batch    259, Loss  0.610908, Average Loss  0.606621, Time  0.239889
2021-09-15 05:37:39.480773 : Epoch  7, Batch    260, Loss  0.601000, Average Loss  0.606611, Time  0.242713
2021-09-15 05:37:40.087750 : Epoch  2, Batch    294, Loss  0.879275, Average Loss  0.871736, Time  0.265574
2021-09-15 05:37:41.028199 : Epoch  7, Batch    261, Loss  0.592105, Average Loss  0.606509, Time  0.241063
2021-09-15 05:37:42.556787 : Epoch  7, Batch    262, Loss  0.605516, Average Loss  0.606476, Time  0.238648
2021-09-15 05:37:43.097545 : Epoch  2, Batch    295, Loss  0.883348, Average Loss  0.871884, Time  0.273196
2021-09-15 05:37:44.088895 : Epoch  7, Batch    263, Loss  0.592752, Average Loss  0.606439, Time  0.240292
2021-09-15 05:37:45.636907 : Epoch  7, Batch    264, Loss  0.600698, Average Loss  0.606424, Time  0.241578
2021-09-15 05:37:46.092578 : Epoch  2, Batch    296, Loss  0.867556, Average Loss  0.871834, Time  0.264848
2021-09-15 05:37:47.173184 : Epoch  7, Batch    265, Loss  0.611803, Average Loss  0.606486, Time  0.241184
2021-09-15 05:37:48.698827 : Epoch  7, Batch    266, Loss  0.610201, Average Loss  0.606501, Time  0.240468
2021-09-15 05:37:49.088891 : Epoch  2, Batch    297, Loss  0.874544, Average Loss  0.871910, Time  0.265342
2021-09-15 05:37:50.223983 : Epoch  7, Batch    267, Loss  0.592934, Average Loss  0.606439, Time  0.240362
2021-09-15 05:37:51.769036 : Epoch  7, Batch    268, Loss  0.605549, Average Loss  0.606485, Time  0.238382
2021-09-15 05:37:52.115922 : Epoch  2, Batch    298, Loss  0.888438, Average Loss  0.871903, Time  0.265387
2021-09-15 05:37:53.302432 : Epoch  7, Batch    269, Loss  0.606001, Average Loss  0.606530, Time  0.238417
2021-09-15 05:37:54.832837 : Epoch  7, Batch    270, Loss  0.600377, Average Loss  0.606486, Time  0.238874
2021-09-15 05:37:55.120902 : Epoch  2, Batch    299, Loss  0.872298, Average Loss  0.871941, Time  0.264582
2021-09-15 05:37:56.367959 : Epoch  7, Batch    271, Loss  0.611506, Average Loss  0.606485, Time  0.240011
2021-09-15 05:37:57.898837 : Epoch  7, Batch    272, Loss  0.599563, Average Loss  0.606527, Time  0.239028
2021-09-15 05:37:58.105238 : Epoch  2, Batch    300, Loss  0.873385, Average Loss  0.871955, Time  0.265257
2021-09-15 05:37:59.426915 : Epoch  7, Batch    273, Loss  0.607839, Average Loss  0.606526, Time  0.240907
2021-09-15 05:38:00.961384 : Epoch  7, Batch    274, Loss  0.602741, Average Loss  0.606502, Time  0.241184
2021-09-15 05:38:01.089450 : Epoch  2, Batch    301, Loss  0.841957, Average Loss  0.871849, Time  0.266108
2021-09-15 05:38:02.490037 : Epoch  7, Batch    275, Loss  0.616886, Average Loss  0.606527, Time  0.241097
2021-09-15 05:38:04.017958 : Epoch  7, Batch    276, Loss  0.609774, Average Loss  0.606546, Time  0.239147
2021-09-15 05:38:04.098206 : Epoch  2, Batch    302, Loss  0.857756, Average Loss  0.871769, Time  0.265012
2021-09-15 05:38:04.263749 : CheckPoint: Validation Loss  0.00025099, Best Loss  0.00024571
2021-09-15 05:38:05.540915 : Epoch  7, Batch    277, Loss  0.598952, Average Loss  0.606509, Time  0.239213
2021-09-15 05:38:05.807361 : Epoch  8, Batch    392, Loss  0.605111, Average Loss  0.601268, Time  0.231333
2021-09-15 05:38:07.092026 : Epoch  2, Batch    303, Loss  0.851712, Average Loss  0.871594, Time  0.264391
2021-09-15 05:38:07.343036 : Epoch  8, Batch    393, Loss  0.589689, Average Loss  0.601187, Time  0.231621
2021-09-15 05:38:08.874667 : Epoch  8, Batch    394, Loss  0.602245, Average Loss  0.601180, Time  0.231047
2021-09-15 05:38:09.514282 : Epoch  7, Batch    278, Loss  0.612021, Average Loss  0.606534, Time  0.272899
2021-09-15 05:38:10.079825 : Epoch  2, Batch    304, Loss  0.871166, Average Loss  0.871650, Time  0.264840
2021-09-15 05:38:10.415891 : Epoch  8, Batch    395, Loss  0.591350, Average Loss  0.601137, Time  0.232463
2021-09-15 05:38:11.953963 : Epoch  8, Batch    396, Loss  0.595421, Average Loss  0.601143, Time  0.231829
2021-09-15 05:38:13.052479 : Epoch  2, Batch    305, Loss  0.863415, Average Loss  0.871747, Time  0.266078
2021-09-15 05:38:13.494052 : Epoch  8, Batch    397, Loss  0.598525, Average Loss  0.601124, Time  0.236573
2021-09-15 05:38:15.031130 : Epoch  8, Batch    398, Loss  0.604446, Average Loss  0.601152, Time  0.231186
2021-09-15 05:38:16.053082 : Epoch  2, Batch    306, Loss  0.854151, Average Loss  0.871584, Time  0.265580
2021-09-15 05:38:16.586385 : Epoch  8, Batch    399, Loss  0.609116, Average Loss  0.601205, Time  0.231502
2021-09-15 05:38:18.141572 : Epoch  8, Batch    400, Loss  0.611579, Average Loss  0.601287, Time  0.231421
2021-09-15 05:38:19.067673 : Epoch  2, Batch    307, Loss  0.850897, Average Loss  0.871367, Time  0.264303
2021-09-15 05:38:19.681824 : Epoch  8, Batch    401, Loss  0.599940, Average Loss  0.601264, Time  0.231979
2021-09-15 05:38:21.217553 : Epoch  8, Batch    402, Loss  0.600832, Average Loss  0.601236, Time  0.231047
2021-09-15 05:38:22.054708 : Epoch  2, Batch    308, Loss  0.859795, Average Loss  0.871279, Time  0.265872
2021-09-15 05:38:22.754200 : Epoch  8, Batch    403, Loss  0.606319, Average Loss  0.601193, Time  0.231295
2021-09-15 05:38:24.299568 : Epoch  8, Batch    404, Loss  0.596387, Average Loss  0.601175, Time  0.231019
2021-09-15 05:38:25.043152 : Epoch  2, Batch    309, Loss  0.878323, Average Loss  0.871348, Time  0.265074
2021-09-15 05:38:25.838149 : Epoch  8, Batch    405, Loss  0.605197, Average Loss  0.601256, Time  0.231537
2021-09-15 05:38:27.387983 : Epoch  8, Batch    406, Loss  0.598605, Average Loss  0.601195, Time  0.230978
2021-09-15 05:38:28.035558 : Epoch  2, Batch    310, Loss  0.853481, Average Loss  0.871270, Time  0.265540
2021-09-15 05:38:28.933140 : Epoch  8, Batch    407, Loss  0.610558, Average Loss  0.601315, Time  0.231135
2021-09-15 05:38:30.493475 : Epoch  8, Batch    408, Loss  0.614055, Average Loss  0.601363, Time  0.231529
2021-09-15 05:38:31.041310 : Epoch  2, Batch    311, Loss  0.864373, Average Loss  0.871205, Time  0.275094
2021-09-15 05:38:32.031144 : Epoch  8, Batch    409, Loss  0.603048, Average Loss  0.601340, Time  0.231960
2021-09-15 05:38:33.599356 : Epoch  8, Batch    410, Loss  0.605219, Average Loss  0.601346, Time  0.231007
2021-09-15 05:38:34.048447 : Epoch  2, Batch    312, Loss  0.856297, Average Loss  0.871236, Time  0.264831
2021-09-15 05:38:35.151211 : Epoch  8, Batch    411, Loss  0.602090, Average Loss  0.601355, Time  0.231611
2021-09-15 05:38:36.695550 : Epoch  8, Batch    412, Loss  0.581750, Average Loss  0.601199, Time  0.231016
2021-09-15 05:38:37.058962 : Epoch  2, Batch    313, Loss  0.850605, Average Loss  0.871110, Time  0.264724
2021-09-15 05:38:38.242201 : Epoch  8, Batch    413, Loss  0.608877, Average Loss  0.601216, Time  0.232141
2021-09-15 05:38:39.788360 : Epoch  8, Batch    414, Loss  0.594086, Average Loss  0.601198, Time  0.230756
2021-09-15 05:38:40.093351 : Epoch  2, Batch    314, Loss  0.883886, Average Loss  0.871038, Time  0.264785
2021-09-15 05:38:41.338935 : Epoch  8, Batch    415, Loss  0.608607, Average Loss  0.601240, Time  0.232320
2021-09-15 05:38:42.891394 : Epoch  8, Batch    416, Loss  0.602875, Average Loss  0.601255, Time  0.232394
2021-09-15 05:38:43.097892 : Epoch  2, Batch    315, Loss  0.874225, Average Loss  0.871120, Time  0.263995
2021-09-15 05:38:44.442138 : Epoch  8, Batch    417, Loss  0.610317, Average Loss  0.601255, Time  0.231441
2021-09-15 05:38:45.987970 : Epoch  8, Batch    418, Loss  0.601227, Average Loss  0.601273, Time  0.232772
2021-09-15 05:38:46.087300 : Epoch  2, Batch    316, Loss  0.881194, Average Loss  0.871203, Time  0.265012
2021-09-15 05:38:47.539589 : Epoch  8, Batch    419, Loss  0.611474, Average Loss  0.601312, Time  0.231535
2021-09-15 05:38:49.075818 : Epoch  8, Batch    420, Loss  0.595029, Average Loss  0.601296, Time  0.231776
2021-09-15 05:38:49.079141 : Epoch  2, Batch    317, Loss  0.846928, Average Loss  0.871086, Time  0.264624
2021-09-15 05:38:50.615668 : Epoch  8, Batch    421, Loss  0.614436, Average Loss  0.601387, Time  0.231551
2021-09-15 05:38:52.111965 : Epoch  2, Batch    318, Loss  0.868492, Average Loss  0.871111, Time  0.264761
2021-09-15 05:38:52.158788 : Epoch  8, Batch    422, Loss  0.601125, Average Loss  0.601437, Time  0.231085
2021-09-15 05:38:53.698253 : Epoch  8, Batch    423, Loss  0.594976, Average Loss  0.601422, Time  0.230137
2021-09-15 05:38:55.133905 : Epoch  2, Batch    319, Loss  0.868481, Average Loss  0.871083, Time  0.264738
2021-09-15 05:38:55.231987 : Epoch  8, Batch    424, Loss  0.610260, Average Loss  0.601425, Time  0.230700
2021-09-15 05:38:56.770112 : Epoch  8, Batch    425, Loss  0.605333, Average Loss  0.601498, Time  0.231345
2021-09-15 05:38:58.128007 : Epoch  2, Batch    320, Loss  0.886301, Average Loss  0.871209, Time  0.264186
2021-09-15 05:38:58.311098 : Epoch  8, Batch    426, Loss  0.610177, Average Loss  0.601536, Time  0.231494
2021-09-15 05:38:59.843637 : Epoch  8, Batch    427, Loss  0.600440, Average Loss  0.601552, Time  0.231318
2021-09-15 05:39:01.126528 : Epoch  2, Batch    321, Loss  0.865620, Average Loss  0.871219, Time  0.264150
2021-09-15 05:39:01.385979 : Epoch  8, Batch    428, Loss  0.611620, Average Loss  0.601653, Time  0.231116
2021-09-15 05:39:02.930277 : Epoch  8, Batch    429, Loss  0.601647, Average Loss  0.601666, Time  0.231210
2021-09-15 05:39:04.129957 : Epoch  2, Batch    322, Loss  0.880833, Average Loss  0.871257, Time  0.265501
2021-09-15 05:39:04.479805 : Epoch  8, Batch    430, Loss  0.595475, Average Loss  0.601683, Time  0.232094
2021-09-15 05:39:06.008778 : Epoch  8, Batch    431, Loss  0.601506, Average Loss  0.601700, Time  0.231409
2021-09-15 05:39:06.077695 : CheckPoint: Validation Loss  0.00024444, Best Loss  0.00024341
2021-09-15 05:39:07.153551 : Epoch  2, Batch    323, Loss  0.864428, Average Loss  0.871251, Time  0.265408
2021-09-15 05:39:07.554532 : Epoch  8, Batch    432, Loss  0.609135, Average Loss  0.601721, Time  0.232234
2021-09-15 05:39:07.613056 : Epoch  7, Batch    279, Loss  0.599759, Average Loss  0.606540, Time  0.240335
2021-09-15 05:39:09.104358 : Epoch  8, Batch    433, Loss  0.603951, Average Loss  0.601677, Time  0.231141
2021-09-15 05:39:09.142290 : Epoch  7, Batch    280, Loss  0.602436, Average Loss  0.606628, Time  0.239296
2021-09-15 05:39:10.162997 : Epoch  2, Batch    324, Loss  0.876093, Average Loss  0.871263, Time  0.265249
2021-09-15 05:39:10.653117 : Epoch  8, Batch    434, Loss  0.606112, Average Loss  0.601760, Time  0.231607
2021-09-15 05:39:10.680960 : Epoch  7, Batch    281, Loss  0.609603, Average Loss  0.606714, Time  0.240523
2021-09-15 05:39:12.193538 : Epoch  8, Batch    435, Loss  0.615160, Average Loss  0.601840, Time  0.231634
2021-09-15 05:39:12.229991 : Epoch  7, Batch    282, Loss  0.621192, Average Loss  0.606708, Time  0.240325
2021-09-15 05:39:13.177764 : Epoch  2, Batch    325, Loss  0.869228, Average Loss  0.871171, Time  0.264443
2021-09-15 05:39:13.734599 : Epoch  8, Batch    436, Loss  0.614334, Average Loss  0.601907, Time  0.231092
2021-09-15 05:39:13.780389 : Epoch  7, Batch    283, Loss  0.611447, Average Loss  0.606697, Time  0.240381
2021-09-15 05:39:15.288170 : Epoch  8, Batch    437, Loss  0.609952, Average Loss  0.601862, Time  0.231586
2021-09-15 05:39:15.327816 : Epoch  7, Batch    284, Loss  0.601672, Average Loss  0.606701, Time  0.236066
2021-09-15 05:39:16.174961 : Epoch  2, Batch    326, Loss  0.871665, Average Loss  0.871095, Time  0.273569
2021-09-15 05:39:16.839383 : Epoch  8, Batch    438, Loss  0.609019, Average Loss  0.601905, Time  0.231198
2021-09-15 05:39:16.875759 : Epoch  7, Batch    285, Loss  0.607610, Average Loss  0.606717, Time  0.236218
2021-09-15 05:39:18.394878 : Epoch  8, Batch    439, Loss  0.592938, Average Loss  0.601865, Time  0.231494
2021-09-15 05:39:18.430949 : Epoch  7, Batch    286, Loss  0.608354, Average Loss  0.606754, Time  0.237060
2021-09-15 05:39:19.181973 : Epoch  2, Batch    327, Loss  0.857409, Average Loss  0.871034, Time  0.264778
2021-09-15 05:39:19.953216 : Epoch  7, Batch    287, Loss  0.590499, Average Loss  0.606727, Time  0.236195
2021-09-15 05:39:19.985905 : Epoch  8, Batch    440, Loss  0.606023, Average Loss  0.601896, Time  0.231467
2021-09-15 05:39:21.469454 : Epoch  7, Batch    288, Loss  0.598376, Average Loss  0.606718, Time  0.236785
2021-09-15 05:39:21.534900 : Epoch  8, Batch    441, Loss  0.615710, Average Loss  0.601969, Time  0.232374
2021-09-15 05:39:22.202167 : Epoch  2, Batch    328, Loss  0.888204, Average Loss  0.871056, Time  0.266929
2021-09-15 05:39:23.016684 : Epoch  7, Batch    289, Loss  0.601633, Average Loss  0.606663, Time  0.239415
2021-09-15 05:39:23.094950 : Epoch  8, Batch    442, Loss  0.612747, Average Loss  0.601992, Time  0.232235
2021-09-15 05:39:24.555105 : Epoch  7, Batch    290, Loss  0.594966, Average Loss  0.606686, Time  0.239744
2021-09-15 05:39:24.649561 : Epoch  8, Batch    443, Loss  0.601013, Average Loss  0.602005, Time  0.232164
2021-09-15 05:39:25.204244 : Epoch  2, Batch    329, Loss  0.866163, Average Loss  0.871103, Time  0.264287
2021-09-15 05:39:26.100975 : Epoch  7, Batch    291, Loss  0.607769, Average Loss  0.606698, Time  0.238793
2021-09-15 05:39:26.190976 : Epoch  8, Batch    444, Loss  0.609085, Average Loss  0.602018, Time  0.231478
2021-09-15 05:39:27.633844 : Epoch  7, Batch    292, Loss  0.605003, Average Loss  0.606660, Time  0.238767
2021-09-15 05:39:27.738587 : Epoch  8, Batch    445, Loss  0.587426, Average Loss  0.601963, Time  0.231534
2021-09-15 05:39:28.201091 : Epoch  2, Batch    330, Loss  0.890201, Average Loss  0.871114, Time  0.264636
2021-09-15 05:39:29.167035 : Epoch  7, Batch    293, Loss  0.605466, Average Loss  0.606641, Time  0.238660
2021-09-15 05:39:29.286789 : Epoch  8, Batch    446, Loss  0.603663, Average Loss  0.601950, Time  0.231601
2021-09-15 05:39:30.700376 : Epoch  7, Batch    294, Loss  0.610807, Average Loss  0.606729, Time  0.239426
2021-09-15 05:39:30.826712 : Epoch  8, Batch    447, Loss  0.585612, Average Loss  0.601841, Time  0.232714
2021-09-15 05:39:31.214216 : Epoch  2, Batch    331, Loss  0.891517, Average Loss  0.871293, Time  0.264592
2021-09-15 05:39:32.257319 : Epoch  7, Batch    295, Loss  0.609135, Average Loss  0.606800, Time  0.238898
2021-09-15 05:39:32.376904 : Epoch  8, Batch    448, Loss  0.603839, Average Loss  0.601857, Time  0.232140
2021-09-15 05:39:33.808383 : Epoch  7, Batch    296, Loss  0.606207, Average Loss  0.606809, Time  0.240464
2021-09-15 05:39:33.931409 : Epoch  8, Batch    449, Loss  0.613469, Average Loss  0.601939, Time  0.231168
2021-09-15 05:39:34.208807 : Epoch  2, Batch    332, Loss  0.873343, Average Loss  0.871396, Time  0.265532
2021-09-15 05:39:35.357220 : Epoch  7, Batch    297, Loss  0.604136, Average Loss  0.606800, Time  0.242040
2021-09-15 05:39:35.494037 : Epoch  8, Batch    450, Loss  0.606332, Average Loss  0.601956, Time  0.231136
2021-09-15 05:39:36.890561 : Epoch  7, Batch    298, Loss  0.595807, Average Loss  0.606766, Time  0.238687
2021-09-15 05:39:37.046094 : Epoch  8, Batch    451, Loss  0.604742, Average Loss  0.601951, Time  0.232062
2021-09-15 05:39:37.230232 : Epoch  2, Batch    333, Loss  0.881429, Average Loss  0.871410, Time  0.264945
2021-09-15 05:39:38.586926 : Epoch  8, Batch    452, Loss  0.596059, Average Loss  0.601928, Time  0.231286
2021-09-15 05:39:38.628479 : Epoch  7, Batch    299, Loss  0.600072, Average Loss  0.606774, Time  0.259037
2021-09-15 05:39:40.135903 : Epoch  8, Batch    453, Loss  0.601418, Average Loss  0.601904, Time  0.232113
2021-09-15 05:39:40.172856 : Epoch  7, Batch    300, Loss  0.600780, Average Loss  0.606749, Time  0.238332
2021-09-15 05:39:40.216956 : Epoch  2, Batch    334, Loss  0.860451, Average Loss  0.871392, Time  0.264380
2021-09-15 05:39:41.685361 : Epoch  8, Batch    454, Loss  0.601759, Average Loss  0.601904, Time  0.233234
2021-09-15 05:39:41.718588 : Epoch  7, Batch    301, Loss  0.592047, Average Loss  0.606665, Time  0.237849
2021-09-15 05:39:43.214900 : Epoch  2, Batch    335, Loss  0.862327, Average Loss  0.871343, Time  0.264716
2021-09-15 05:39:43.267332 : Epoch  8, Batch    455, Loss  0.602123, Average Loss  0.601924, Time  0.230975
2021-09-15 05:39:43.369401 : Epoch  7, Batch    302, Loss  0.602062, Average Loss  0.606657, Time  0.241152
2021-09-15 05:39:44.816194 : Epoch  8, Batch    456, Loss  0.599881, Average Loss  0.601974, Time  0.231494
2021-09-15 05:39:44.904066 : Epoch  7, Batch    303, Loss  0.598654, Average Loss  0.606675, Time  0.238829
2021-09-15 05:39:46.204726 : Epoch  2, Batch    336, Loss  0.871341, Average Loss  0.871320, Time  0.264376
2021-09-15 05:39:46.360424 : Epoch  8, Batch    457, Loss  0.601585, Average Loss  0.601984, Time  0.231332
2021-09-15 05:39:46.447275 : Epoch  7, Batch    304, Loss  0.621810, Average Loss  0.606773, Time  0.239476
2021-09-15 05:39:47.900866 : Epoch  8, Batch    458, Loss  0.595475, Average Loss  0.601975, Time  0.231438
2021-09-15 05:39:47.996597 : Epoch  7, Batch    305, Loss  0.605560, Average Loss  0.606774, Time  0.239332
2021-09-15 05:39:49.220937 : Epoch  2, Batch    337, Loss  0.872464, Average Loss  0.871339, Time  0.264973
2021-09-15 05:39:49.463398 : Epoch  8, Batch    459, Loss  0.610165, Average Loss  0.601978, Time  0.231681
2021-09-15 05:39:49.519299 : Epoch  7, Batch    306, Loss  0.602331, Average Loss  0.606818, Time  0.237871
2021-09-15 05:39:51.017801 : Epoch  8, Batch    460, Loss  0.600016, Average Loss  0.601970, Time  0.230943
2021-09-15 05:39:51.048799 : Epoch  7, Batch    307, Loss  0.598433, Average Loss  0.606683, Time  0.238476
2021-09-15 05:39:52.246898 : Epoch  2, Batch    338, Loss  0.878660, Average Loss  0.871397, Time  0.265535
2021-09-15 05:39:52.562054 : Epoch  8, Batch    461, Loss  0.612016, Average Loss  0.602041, Time  0.231655
2021-09-15 05:39:52.595248 : Epoch  7, Batch    308, Loss  0.597734, Average Loss  0.606681, Time  0.239035
2021-09-15 05:39:54.143075 : Epoch  7, Batch    309, Loss  0.594907, Average Loss  0.606662, Time  0.240985
2021-09-15 05:39:55.279020 : Epoch  2, Batch    339, Loss  0.872838, Average Loss  0.871445, Time  0.266063
2021-09-15 05:39:55.675320 : Epoch  7, Batch    310, Loss  0.602182, Average Loss  0.606627, Time  0.240534
2021-09-15 05:39:56.429165 : Epoch  8, Batch    462, Loss  0.599192, Average Loss  0.602013, Time  0.262973
2021-09-15 05:39:57.207335 : Epoch  7, Batch    311, Loss  0.606730, Average Loss  0.606697, Time  0.240414
2021-09-15 05:39:57.976375 : Epoch  8, Batch    463, Loss  0.599339, Average Loss  0.602034, Time  0.239475
2021-09-15 05:39:58.329456 : Epoch  2, Batch    340, Loss  0.869895, Average Loss  0.871440, Time  0.268215
2021-09-15 05:39:58.733920 : Epoch  7, Batch    312, Loss  0.595119, Average Loss  0.606631, Time  0.237489
2021-09-15 05:39:59.517562 : Epoch  8, Batch    464, Loss  0.608505, Average Loss  0.602022, Time  0.230833
2021-09-15 05:40:00.276492 : Epoch  7, Batch    313, Loss  0.602458, Average Loss  0.606554, Time  0.239806
2021-09-15 05:40:01.058559 : Epoch  8, Batch    465, Loss  0.614097, Average Loss  0.602045, Time  0.231791
2021-09-15 05:40:01.347150 : Epoch  2, Batch    341, Loss  0.875701, Average Loss  0.871430, Time  0.279012
2021-09-15 05:40:01.805398 : Epoch  7, Batch    314, Loss  0.603364, Average Loss  0.606616, Time  0.240239
2021-09-15 05:40:02.602893 : Epoch  8, Batch    466, Loss  0.598956, Average Loss  0.602018, Time  0.231318
2021-09-15 05:40:03.335795 : Epoch  7, Batch    315, Loss  0.618431, Average Loss  0.606692, Time  0.239216
2021-09-15 05:40:04.148367 : Epoch  8, Batch    467, Loss  0.603850, Average Loss  0.602046, Time  0.232494
2021-09-15 05:40:04.363229 : Epoch  2, Batch    342, Loss  0.876108, Average Loss  0.871474, Time  0.264996
2021-09-15 05:40:04.861241 : Epoch  7, Batch    316, Loss  0.591181, Average Loss  0.606631, Time  0.239367
2021-09-15 05:40:05.703588 : Epoch  8, Batch    468, Loss  0.588493, Average Loss  0.602045, Time  0.231266
2021-09-15 05:40:06.434422 : Epoch  7, Batch    317, Loss  0.594315, Average Loss  0.606548, Time  0.242226
2021-09-15 05:40:07.231657 : Epoch  8, Batch    469, Loss  0.604893, Average Loss  0.602044, Time  0.231066
2021-09-15 05:40:07.359882 : Epoch  2, Batch    343, Loss  0.859395, Average Loss  0.871531, Time  0.265233
2021-09-15 05:40:07.966193 : Epoch  7, Batch    318, Loss  0.594127, Average Loss  0.606533, Time  0.241246
2021-09-15 05:40:08.780365 : Epoch  8, Batch    470, Loss  0.604589, Average Loss  0.602049, Time  0.230847
2021-09-15 05:40:09.498214 : Epoch  7, Batch    319, Loss  0.607422, Average Loss  0.606557, Time  0.239899
2021-09-15 05:40:10.326350 : Epoch  8, Batch    471, Loss  0.606248, Average Loss  0.602009, Time  0.231752
2021-09-15 05:40:10.351410 : Epoch  2, Batch    344, Loss  0.869910, Average Loss  0.871648, Time  0.264781
2021-09-15 05:40:11.186399 : Epoch  7, Batch    320, Loss  0.608226, Average Loss  0.606554, Time  0.257809
2021-09-15 05:40:11.869585 : Epoch  8, Batch    472, Loss  0.607402, Average Loss  0.602009, Time  0.231348
2021-09-15 05:40:12.878094 : Epoch  7, Batch    321, Loss  0.596840, Average Loss  0.606494, Time  0.259068
2021-09-15 05:40:13.412199 : Epoch  8, Batch    473, Loss  0.599112, Average Loss  0.601952, Time  0.233526
2021-09-15 05:40:14.558993 : Epoch  7, Batch    322, Loss  0.602293, Average Loss  0.606431, Time  0.257144
2021-09-15 05:40:14.960900 : Epoch  8, Batch    474, Loss  0.611487, Average Loss  0.602062, Time  0.231515
2021-09-15 05:40:16.243021 : Epoch  7, Batch    323, Loss  0.590085, Average Loss  0.606408, Time  0.257337
2021-09-15 05:40:16.499954 : Epoch  8, Batch    475, Loss  0.592095, Average Loss  0.602101, Time  0.232322
2021-09-15 05:40:17.780380 : Epoch  7, Batch    324, Loss  0.605752, Average Loss  0.606417, Time  0.239040
2021-09-15 05:40:18.042452 : Epoch  8, Batch    476, Loss  0.611743, Average Loss  0.602172, Time  0.234423
2021-09-15 05:40:19.313219 : Epoch  7, Batch    325, Loss  0.604095, Average Loss  0.606370, Time  0.241315
2021-09-15 05:40:19.587121 : Epoch  8, Batch    477, Loss  0.594900, Average Loss  0.602102, Time  0.233627
2021-09-15 05:40:20.827217 : Epoch  7, Batch    326, Loss  0.606496, Average Loss  0.606385, Time  0.238054
2021-09-15 05:40:21.111414 : Epoch  8, Batch    478, Loss  0.605815, Average Loss  0.602035, Time  0.231056
2021-09-15 05:40:22.356810 : Epoch  7, Batch    327, Loss  0.606982, Average Loss  0.606480, Time  0.240677
2021-09-15 05:40:22.649801 : Epoch  8, Batch    479, Loss  0.591723, Average Loss  0.601992, Time  0.231854
2021-09-15 05:40:23.886408 : Epoch  7, Batch    328, Loss  0.601887, Average Loss  0.606442, Time  0.240123
2021-09-15 05:40:24.179046 : Epoch  8, Batch    480, Loss  0.598136, Average Loss  0.601947, Time  0.231254
2021-09-15 05:40:25.580089 : Epoch  7, Batch    329, Loss  0.601741, Average Loss  0.606376, Time  0.259347
2021-09-15 05:40:25.710379 : Epoch  8, Batch    481, Loss  0.599595, Average Loss  0.601937, Time  0.231636
2021-09-15 05:40:27.102106 : Epoch  7, Batch    330, Loss  0.603767, Average Loss  0.606414, Time  0.238362
2021-09-15 05:40:27.256973 : Epoch  8, Batch    482, Loss  0.605448, Average Loss  0.601965, Time  0.231879
2021-09-15 05:40:28.627162 : Epoch  7, Batch    331, Loss  0.605532, Average Loss  0.606423, Time  0.239010
2021-09-15 05:40:28.809847 : Epoch  8, Batch    483, Loss  0.597354, Average Loss  0.601905, Time  0.231448
2021-09-15 05:40:30.161337 : Epoch  7, Batch    332, Loss  0.617996, Average Loss  0.606518, Time  0.242326
2021-09-15 05:40:30.360348 : Epoch  8, Batch    484, Loss  0.606856, Average Loss  0.601969, Time  0.234623
2021-09-15 05:40:31.701105 : Epoch  7, Batch    333, Loss  0.616918, Average Loss  0.606589, Time  0.239446
2021-09-15 05:40:31.932601 : Epoch  8, Batch    485, Loss  0.604402, Average Loss  0.601974, Time  0.233032
2021-09-15 05:40:33.224371 : Epoch  7, Batch    334, Loss  0.609782, Average Loss  0.606608, Time  0.238865
2021-09-15 05:40:33.483294 : Epoch  8, Batch    486, Loss  0.606213, Average Loss  0.602082, Time  0.233749
2021-09-15 05:40:34.746064 : Epoch  7, Batch    335, Loss  0.619533, Average Loss  0.606684, Time  0.238225
2021-09-15 05:40:35.044963 : Epoch  8, Batch    487, Loss  0.587162, Average Loss  0.601999, Time  0.232510
2021-09-15 05:40:36.284999 : Epoch  7, Batch    336, Loss  0.610870, Average Loss  0.606775, Time  0.240000
2021-09-15 05:40:36.604033 : Epoch  8, Batch    488, Loss  0.597799, Average Loss  0.601989, Time  0.232223
2021-09-15 05:40:37.831772 : Epoch  7, Batch    337, Loss  0.615875, Average Loss  0.606817, Time  0.239714
2021-09-15 05:40:38.156369 : Epoch  8, Batch    489, Loss  0.596320, Average Loss  0.601912, Time  0.234273
2021-09-15 05:40:39.357825 : Epoch  7, Batch    338, Loss  0.602979, Average Loss  0.606846, Time  0.238669
2021-09-15 05:40:39.711997 : Epoch  8, Batch    490, Loss  0.608789, Average Loss  0.601988, Time  0.231202
2021-09-15 05:40:40.894943 : Epoch  7, Batch    339, Loss  0.603494, Average Loss  0.606838, Time  0.243508
2021-09-15 05:40:42.429779 : Epoch  7, Batch    340, Loss  0.602463, Average Loss  0.606825, Time  0.239894
2021-09-15 05:40:43.727809 : Epoch  8, Batch    491, Loss  0.598846, Average Loss  0.601954, Time  0.272617
2021-09-15 05:40:43.967890 : Epoch  7, Batch    341, Loss  0.587512, Average Loss  0.606772, Time  0.241844
2021-09-15 05:40:45.485361 : Epoch  7, Batch    342, Loss  0.601254, Average Loss  0.606785, Time  0.240591
2021-09-15 05:40:47.007387 : Epoch  7, Batch    343, Loss  0.598079, Average Loss  0.606780, Time  0.240390
2021-09-15 05:40:48.532414 : Epoch  7, Batch    344, Loss  0.600301, Average Loss  0.606788, Time  0.239030
2021-09-15 05:40:50.076922 : Epoch  7, Batch    345, Loss  0.609794, Average Loss  0.606832, Time  0.238903
2021-09-15 05:40:51.614402 : Epoch  7, Batch    346, Loss  0.614340, Average Loss  0.606792, Time  0.237864
2021-09-15 05:40:53.145242 : Epoch  7, Batch    347, Loss  0.604021, Average Loss  0.606830, Time  0.239292
2021-09-15 05:40:54.816403 : Epoch  7, Batch    348, Loss  0.605824, Average Loss  0.606789, Time  0.257091
2021-09-15 05:40:59.186261 : Epoch  7, Batch    349, Loss  0.599812, Average Loss  0.606769, Time  0.286146
2021-09-15 05:41:00.857793 : Epoch  7, Batch    350, Loss  0.593762, Average Loss  0.606756, Time  0.260236
2021-09-15 05:41:02.543072 : Epoch  7, Batch    351, Loss  0.605149, Average Loss  0.606750, Time  0.259086
2021-09-15 05:41:04.237857 : Epoch  7, Batch    352, Loss  0.618537, Average Loss  0.606805, Time  0.258388
2021-09-15 05:41:05.933480 : Epoch  7, Batch    353, Loss  0.603411, Average Loss  0.606856, Time  0.257903
2021-09-15 05:41:07.616853 : Epoch  7, Batch    354, Loss  0.603086, Average Loss  0.606905, Time  0.260066
2021-09-15 05:41:09.303036 : Epoch  7, Batch    355, Loss  0.614391, Average Loss  0.607019, Time  0.259363
2021-09-15 05:41:10.990483 : Epoch  7, Batch    356, Loss  0.608651, Average Loss  0.607050, Time  0.258562
2021-09-15 05:41:12.704976 : Epoch  7, Batch    357, Loss  0.602526, Average Loss  0.607043, Time  0.259670
2021-09-15 05:41:14.388417 : Epoch  7, Batch    358, Loss  0.604521, Average Loss  0.607069, Time  0.257169
2021-09-15 05:41:16.072422 : Epoch  7, Batch    359, Loss  0.613303, Average Loss  0.607186, Time  0.259549
2021-09-15 05:41:17.621487 : Epoch  7, Batch    360, Loss  0.605049, Average Loss  0.607187, Time  0.243152
2021-09-15 05:41:19.155908 : Epoch  7, Batch    361, Loss  0.597385, Average Loss  0.607127, Time  0.241667
2021-09-15 05:41:20.683924 : Epoch  7, Batch    362, Loss  0.615126, Average Loss  0.607223, Time  0.241478
2021-09-15 05:41:22.225078 : Epoch  7, Batch    363, Loss  0.608500, Average Loss  0.607278, Time  0.240453
2021-09-15 05:41:23.750381 : Epoch  7, Batch    364, Loss  0.606338, Average Loss  0.607271, Time  0.241270
2021-09-15 05:41:25.285831 : Epoch  7, Batch    365, Loss  0.602116, Average Loss  0.607254, Time  0.240768
2021-09-15 05:41:26.823867 : Epoch  7, Batch    366, Loss  0.619455, Average Loss  0.607335, Time  0.243553
2021-09-15 05:41:28.352796 : Epoch  7, Batch    367, Loss  0.610887, Average Loss  0.607365, Time  0.240912
2021-09-15 05:41:30.033376 : Epoch  7, Batch    368, Loss  0.598610, Average Loss  0.607342, Time  0.260030
2021-09-15 05:41:31.727850 : Epoch  7, Batch    369, Loss  0.599932, Average Loss  0.607332, Time  0.259464
2021-09-15 05:41:33.413422 : Epoch  7, Batch    370, Loss  0.606236, Average Loss  0.607403, Time  0.261396
2021-09-15 05:41:35.092304 : Epoch  7, Batch    371, Loss  0.606290, Average Loss  0.607385, Time  0.258472
2021-09-15 05:41:36.616799 : Epoch  7, Batch    372, Loss  0.604641, Average Loss  0.607459, Time  0.240676
2021-09-15 05:41:38.152843 : Epoch  7, Batch    373, Loss  0.599145, Average Loss  0.607470, Time  0.241027
2021-09-15 05:41:39.686660 : Epoch  7, Batch    374, Loss  0.622056, Average Loss  0.607537, Time  0.239497
2021-09-15 05:41:41.210140 : Epoch  7, Batch    375, Loss  0.607779, Average Loss  0.607563, Time  0.238111
2021-09-15 05:41:41.777740 : CheckPoint: Validation Loss  0.00025265, Best Loss  0.00024571
2021-09-15 05:41:42.731116 : Epoch  7, Batch    376, Loss  0.608685, Average Loss  0.607605, Time  0.237653
2021-09-15 05:41:43.350091 : Epoch  8, Batch    492, Loss  0.608741, Average Loss  0.601888, Time  0.231629
2021-09-15 05:41:44.428958 : Epoch  7, Batch    377, Loss  0.595350, Average Loss  0.607560, Time  0.261769
2021-09-15 05:41:44.907111 : Epoch  8, Batch    493, Loss  0.613311, Average Loss  0.601952, Time  0.231381
2021-09-15 05:41:45.973016 : Epoch  7, Batch    378, Loss  0.607549, Average Loss  0.607601, Time  0.242202
2021-09-15 05:41:46.447049 : Epoch  8, Batch    494, Loss  0.604692, Average Loss  0.601971, Time  0.231246
2021-09-15 05:41:47.993229 : Epoch  8, Batch    495, Loss  0.604174, Average Loss  0.601922, Time  0.231375
2021-09-15 05:41:49.535031 : Epoch  8, Batch    496, Loss  0.612827, Average Loss  0.601979, Time  0.231275
2021-09-15 05:41:51.082066 : Epoch  8, Batch    497, Loss  0.604142, Average Loss  0.602020, Time  0.232066
2021-09-15 05:41:52.630580 : Epoch  8, Batch    498, Loss  0.600753, Average Loss  0.602019, Time  0.231021
2021-09-15 05:41:54.179270 : Epoch  8, Batch    499, Loss  0.599886, Average Loss  0.602088, Time  0.231207
2021-09-15 05:41:55.734799 : Epoch  8, Batch    500, Loss  0.606666, Average Loss  0.602069, Time  0.232026
2021-09-15 05:41:57.281049 : Epoch  8, Batch    501, Loss  0.599238, Average Loss  0.602061, Time  0.232865
2021-09-15 05:41:58.840088 : Epoch  8, Batch    502, Loss  0.603253, Average Loss  0.602026, Time  0.233254
2021-09-15 05:42:00.410374 : Epoch  8, Batch    503, Loss  0.602024, Average Loss  0.602031, Time  0.231595
2021-09-15 05:42:01.975998 : Epoch  8, Batch    504, Loss  0.599133, Average Loss  0.602049, Time  0.232554
2021-09-15 05:42:03.524578 : Epoch  8, Batch    505, Loss  0.592198, Average Loss  0.601987, Time  0.231684
2021-09-15 05:42:05.083532 : Epoch  8, Batch    506, Loss  0.610768, Average Loss  0.602053, Time  0.231606
2021-09-15 05:42:06.643668 : Epoch  8, Batch    507, Loss  0.601381, Average Loss  0.602006, Time  0.231573
2021-09-15 05:42:08.200974 : Epoch  8, Batch    508, Loss  0.595834, Average Loss  0.601948, Time  0.232656
2021-09-15 05:42:09.748478 : Epoch  8, Batch    509, Loss  0.599389, Average Loss  0.601925, Time  0.230967
2021-09-15 05:42:11.300561 : Epoch  8, Batch    510, Loss  0.610427, Average Loss  0.601963, Time  0.231206
2021-09-15 05:42:12.849540 : Epoch  8, Batch    511, Loss  0.594833, Average Loss  0.601973, Time  0.233772
2021-09-15 05:42:14.401903 : Epoch  8, Batch    512, Loss  0.600592, Average Loss  0.601883, Time  0.232079
2021-09-15 05:42:15.948978 : Epoch  8, Batch    513, Loss  0.610314, Average Loss  0.601988, Time  0.231157
2021-09-15 05:42:17.510438 : Epoch  8, Batch    514, Loss  0.600829, Average Loss  0.602025, Time  0.231010
2021-09-15 05:42:19.058396 : Epoch  8, Batch    515, Loss  0.612279, Average Loss  0.602058, Time  0.232102
2021-09-15 05:42:20.607256 : Epoch  8, Batch    516, Loss  0.600743, Average Loss  0.602084, Time  0.231552
2021-09-15 05:42:22.157267 : Epoch  8, Batch    517, Loss  0.604882, Average Loss  0.602153, Time  0.231673
2021-09-15 05:42:23.702822 : Epoch  8, Batch    518, Loss  0.600123, Average Loss  0.602125, Time  0.231646
2021-09-15 05:42:25.252378 : Epoch  8, Batch    519, Loss  0.609324, Average Loss  0.602125, Time  0.231016
2021-09-15 05:42:26.822472 : Epoch  8, Batch    520, Loss  0.603137, Average Loss  0.602197, Time  0.231280
2021-09-15 05:42:28.365563 : Epoch  8, Batch    521, Loss  0.599624, Average Loss  0.602173, Time  0.231355
2021-09-15 05:42:29.918430 : Epoch  8, Batch    522, Loss  0.601492, Average Loss  0.602212, Time  0.232430
2021-09-15 05:42:31.475150 : Epoch  8, Batch    523, Loss  0.611427, Average Loss  0.602248, Time  0.231412
2021-09-15 05:42:33.019136 : Epoch  8, Batch    524, Loss  0.599414, Average Loss  0.602255, Time  0.231038
2021-09-15 05:42:34.561394 : Epoch  8, Batch    525, Loss  0.613966, Average Loss  0.602251, Time  0.231020
2021-09-15 05:42:36.115902 : Epoch  8, Batch    526, Loss  0.608631, Average Loss  0.602300, Time  0.231664
2021-09-15 05:42:37.664351 : Epoch  8, Batch    527, Loss  0.606080, Average Loss  0.602362, Time  0.231177
2021-09-15 05:42:39.219577 : Epoch  8, Batch    528, Loss  0.609364, Average Loss  0.602317, Time  0.231237
2021-09-15 05:42:40.767310 : Epoch  8, Batch    529, Loss  0.603343, Average Loss  0.602326, Time  0.231587
2021-09-15 05:42:42.322421 : Epoch  8, Batch    530, Loss  0.608404, Average Loss  0.602381, Time  0.233529
2021-09-15 05:42:42.676681 : CheckPoint: Validation Loss  0.00026004, Best Loss  0.00024341
2021-09-15 05:42:43.876044 : Epoch  8, Batch    531, Loss  0.603991, Average Loss  0.602342, Time  0.232219
2021-09-15 05:42:44.191904 : Epoch  7, Batch    379, Loss  0.585743, Average Loss  0.607495, Time  0.241403
2021-09-15 05:42:45.450908 : Epoch  8, Batch    532, Loss  0.614609, Average Loss  0.602452, Time  0.231286
2021-09-15 05:42:45.697847 : Epoch  7, Batch    380, Loss  0.608569, Average Loss  0.607502, Time  0.238184
2021-09-15 05:42:46.992555 : Epoch  8, Batch    533, Loss  0.609896, Average Loss  0.602499, Time  0.230955
2021-09-15 05:42:47.208828 : Epoch  7, Batch    381, Loss  0.606513, Average Loss  0.607516, Time  0.239976
2021-09-15 05:42:48.543535 : Epoch  8, Batch    534, Loss  0.617466, Average Loss  0.602620, Time  0.231014
2021-09-15 05:42:48.714324 : Epoch  7, Batch    382, Loss  0.601606, Average Loss  0.606586, Time  0.238749
2021-09-15 05:42:50.093536 : Epoch  8, Batch    535, Loss  0.598678, Average Loss  0.602537, Time  0.232336
2021-09-15 05:42:50.237860 : Epoch  7, Batch    383, Loss  0.594374, Average Loss  0.606500, Time  0.242208
2021-09-15 05:42:51.632315 : Epoch  8, Batch    536, Loss  0.593148, Average Loss  0.602517, Time  0.230707
2021-09-15 05:42:51.749840 : Epoch  7, Batch    384, Loss  0.603822, Average Loss  0.606399, Time  0.241473
2021-09-15 05:42:53.177060 : Epoch  8, Batch    537, Loss  0.601068, Average Loss  0.602488, Time  0.231225
2021-09-15 05:42:53.251815 : Epoch  7, Batch    385, Loss  0.594958, Average Loss  0.606284, Time  0.238266
2021-09-15 05:42:54.713004 : Epoch  8, Batch    538, Loss  0.602778, Average Loss  0.602555, Time  0.231506
2021-09-15 05:42:54.773929 : Epoch  7, Batch    386, Loss  0.599735, Average Loss  0.606147, Time  0.240754
2021-09-15 05:42:56.256547 : Epoch  8, Batch    539, Loss  0.592423, Average Loss  0.602580, Time  0.232892
2021-09-15 05:42:56.287943 : Epoch  7, Batch    387, Loss  0.606953, Average Loss  0.606020, Time  0.237372
2021-09-15 05:42:57.793210 : Epoch  8, Batch    540, Loss  0.607517, Average Loss  0.602627, Time  0.231168
2021-09-15 05:42:57.830095 : Epoch  7, Batch    388, Loss  0.602004, Average Loss  0.605899, Time  0.240603
2021-09-15 05:42:59.330998 : Epoch  8, Batch    541, Loss  0.592135, Average Loss  0.602598, Time  0.231518
2021-09-15 05:42:59.360072 : Epoch  7, Batch    389, Loss  0.612844, Average Loss  0.605811, Time  0.240457
2021-09-15 05:43:00.871744 : Epoch  8, Batch    542, Loss  0.588670, Average Loss  0.602527, Time  0.231197
2021-09-15 05:43:00.899397 : Epoch  7, Batch    390, Loss  0.614559, Average Loss  0.605765, Time  0.240532
2021-09-15 05:43:02.402309 : Epoch  8, Batch    543, Loss  0.590086, Average Loss  0.602475, Time  0.230953
2021-09-15 05:43:02.433416 : Epoch  7, Batch    391, Loss  0.614666, Average Loss  0.605730, Time  0.240043
2021-09-15 05:43:03.927177 : Epoch  8, Batch    544, Loss  0.608745, Average Loss  0.602555, Time  0.230050
2021-09-15 05:43:03.957019 : Epoch  7, Batch    392, Loss  0.622745, Average Loss  0.605747, Time  0.239895
2021-09-15 05:43:05.446155 : Epoch  8, Batch    545, Loss  0.615584, Average Loss  0.602675, Time  0.230391
2021-09-15 05:43:05.488889 : Epoch  7, Batch    393, Loss  0.606277, Average Loss  0.605728, Time  0.239660
2021-09-15 05:43:07.002919 : Epoch  8, Batch    546, Loss  0.609013, Average Loss  0.602675, Time  0.231208
2021-09-15 05:43:07.036453 : Epoch  7, Batch    394, Loss  0.600777, Average Loss  0.605638, Time  0.241051
2021-09-15 05:43:08.548033 : Epoch  8, Batch    547, Loss  0.595929, Average Loss  0.602597, Time  0.231224
2021-09-15 05:43:08.578017 : Epoch  7, Batch    395, Loss  0.604254, Average Loss  0.605551, Time  0.239990
2021-09-15 05:43:10.086663 : Epoch  8, Batch    548, Loss  0.604902, Average Loss  0.602578, Time  0.230804
2021-09-15 05:43:10.086857 : Epoch  7, Batch    396, Loss  0.599772, Average Loss  0.605465, Time  0.237025
2021-09-15 05:43:11.626885 : Epoch  8, Batch    549, Loss  0.609878, Average Loss  0.602643, Time  0.231316
2021-09-15 05:43:11.655066 : Epoch  7, Batch    397, Loss  0.608764, Average Loss  0.605415, Time  0.241090
2021-09-15 05:43:13.163777 : Epoch  8, Batch    550, Loss  0.608858, Average Loss  0.602714, Time  0.230902
2021-09-15 05:43:13.200377 : Epoch  7, Batch    398, Loss  0.602273, Average Loss  0.605322, Time  0.242105
2021-09-15 05:43:14.710371 : Epoch  8, Batch    551, Loss  0.602692, Average Loss  0.602780, Time  0.231141
2021-09-15 05:43:14.737001 : Epoch  7, Batch    399, Loss  0.593233, Average Loss  0.605202, Time  0.238187
2021-09-15 05:43:16.242792 : Epoch  8, Batch    552, Loss  0.612031, Average Loss  0.602831, Time  0.231035
2021-09-15 05:43:16.279157 : Epoch  7, Batch    400, Loss  0.591815, Average Loss  0.605085, Time  0.241617
2021-09-15 05:43:17.785244 : Epoch  8, Batch    553, Loss  0.598695, Average Loss  0.602840, Time  0.231520
2021-09-15 05:43:17.823406 : Epoch  7, Batch    401, Loss  0.599558, Average Loss  0.605001, Time  0.240760
2021-09-15 05:43:19.347428 : Epoch  8, Batch    554, Loss  0.603454, Average Loss  0.602887, Time  0.231650
2021-09-15 05:43:19.381118 : Epoch  7, Batch    402, Loss  0.603113, Average Loss  0.604988, Time  0.240845
2021-09-15 05:43:20.889341 : Epoch  8, Batch    555, Loss  0.598025, Average Loss  0.602886, Time  0.232951
2021-09-15 05:43:20.925847 : Epoch  7, Batch    403, Loss  0.611714, Average Loss  0.604991, Time  0.239352
2021-09-15 05:43:22.436086 : Epoch  8, Batch    556, Loss  0.604401, Average Loss  0.602880, Time  0.231735
2021-09-15 05:43:22.466124 : Epoch  7, Batch    404, Loss  0.596658, Average Loss  0.604922, Time  0.240769
2021-09-15 05:43:23.969234 : Epoch  8, Batch    557, Loss  0.603719, Average Loss  0.602931, Time  0.230991
2021-09-15 05:43:24.004494 : Epoch  7, Batch    405, Loss  0.599042, Average Loss  0.604815, Time  0.238033
2021-09-15 05:43:25.517054 : Epoch  8, Batch    558, Loss  0.607624, Average Loss  0.602955, Time  0.231519
2021-09-15 05:43:25.545136 : Epoch  7, Batch    406, Loss  0.616755, Average Loss  0.604844, Time  0.237722
2021-09-15 05:43:27.054366 : Epoch  8, Batch    559, Loss  0.601151, Average Loss  0.602959, Time  0.231739
2021-09-15 05:43:27.104912 : Epoch  7, Batch    407, Loss  0.607012, Average Loss  0.604814, Time  0.239458
2021-09-15 05:43:28.614240 : Epoch  8, Batch    560, Loss  0.599583, Average Loss  0.602937, Time  0.231874
2021-09-15 05:43:28.644429 : Epoch  7, Batch    408, Loss  0.598027, Average Loss  0.604712, Time  0.240728
2021-09-15 05:43:30.152721 : Epoch  8, Batch    561, Loss  0.608110, Average Loss  0.602975, Time  0.231387
2021-09-15 05:43:30.186037 : Epoch  7, Batch    409, Loss  0.605836, Average Loss  0.604722, Time  0.238488
2021-09-15 05:43:31.709826 : Epoch  7, Batch    410, Loss  0.604571, Average Loss  0.604668, Time  0.239294
2021-09-15 05:43:33.269836 : Epoch  7, Batch    411, Loss  0.600945, Average Loss  0.604607, Time  0.243404
2021-09-15 05:43:34.077772 : Epoch  8, Batch    562, Loss  0.597173, Average Loss  0.602950, Time  0.272471
2021-09-15 05:43:34.802441 : Epoch  7, Batch    412, Loss  0.609959, Average Loss  0.604691, Time  0.238741
2021-09-15 05:43:35.629625 : Epoch  8, Batch    563, Loss  0.602354, Average Loss  0.603002, Time  0.249508
2021-09-15 05:43:36.486432 : Epoch  7, Batch    413, Loss  0.597825, Average Loss  0.604676, Time  0.256914
2021-09-15 05:43:37.175247 : Epoch  8, Batch    564, Loss  0.594603, Average Loss  0.603019, Time  0.236540
2021-09-15 05:43:38.163384 : Epoch  7, Batch    414, Loss  0.597353, Average Loss  0.604675, Time  0.258837
2021-09-15 05:43:38.709208 : Epoch  8, Batch    565, Loss  0.593619, Average Loss  0.602952, Time  0.231411
2021-09-15 05:43:39.855796 : Epoch  7, Batch    415, Loss  0.600970, Average Loss  0.604605, Time  0.260378
2021-09-15 05:43:40.241585 : Epoch  8, Batch    566, Loss  0.598637, Average Loss  0.602960, Time  0.231104
2021-09-15 05:43:41.377329 : Epoch  7, Batch    416, Loss  0.599329, Average Loss  0.604584, Time  0.238198
2021-09-15 05:43:41.761387 : Epoch  8, Batch    567, Loss  0.586843, Average Loss  0.602900, Time  0.231280
2021-09-15 05:43:43.073508 : Epoch  7, Batch    417, Loss  0.600069, Average Loss  0.604550, Time  0.259050
2021-09-15 05:43:43.297811 : Epoch  8, Batch    568, Loss  0.604690, Average Loss  0.602907, Time  0.230842
2021-09-15 05:43:44.597015 : Epoch  7, Batch    418, Loss  0.608016, Average Loss  0.604535, Time  0.239358
2021-09-15 05:43:44.824517 : Epoch  8, Batch    569, Loss  0.604604, Average Loss  0.602917, Time  0.231361
2021-09-15 05:43:46.121080 : Epoch  7, Batch    419, Loss  0.602835, Average Loss  0.604567, Time  0.240498
2021-09-15 05:43:46.354078 : Epoch  8, Batch    570, Loss  0.606430, Average Loss  0.602914, Time  0.231564
2021-09-15 05:43:47.666236 : Epoch  7, Batch    420, Loss  0.600233, Average Loss  0.604558, Time  0.243021
2021-09-15 05:43:47.875712 : Epoch  8, Batch    571, Loss  0.607834, Average Loss  0.602939, Time  0.231079
2021-09-15 05:43:49.186780 : Epoch  7, Batch    421, Loss  0.601441, Average Loss  0.604539, Time  0.240816
2021-09-15 05:43:49.411261 : Epoch  8, Batch    572, Loss  0.602591, Average Loss  0.602919, Time  0.231473
2021-09-15 05:43:50.712772 : Epoch  7, Batch    422, Loss  0.597439, Average Loss  0.604506, Time  0.240206
2021-09-15 05:43:50.955009 : Epoch  8, Batch    573, Loss  0.591023, Average Loss  0.602888, Time  0.231747
2021-09-15 05:43:52.288342 : Epoch  7, Batch    423, Loss  0.607392, Average Loss  0.604476, Time  0.241109
2021-09-15 05:43:52.483388 : Epoch  8, Batch    574, Loss  0.603440, Average Loss  0.602877, Time  0.231124
2021-09-15 05:43:53.829271 : Epoch  7, Batch    424, Loss  0.598822, Average Loss  0.604395, Time  0.238983
2021-09-15 05:43:54.005564 : Epoch  8, Batch    575, Loss  0.596749, Average Loss  0.602852, Time  0.232773
2021-09-15 05:43:54.131250 : Epoch  8, Batch    576, Loss  0.592664, Average Loss  0.602760, Time  0.091066
2021-09-15 05:43:55.356789 : Epoch  7, Batch    425, Loss  0.616227, Average Loss  0.604452, Time  0.239220
2021-09-15 05:43:55.676395 : Epoch  8, Batch    577, Loss  0.607769, Average Loss  0.602785, Time  0.231641
2021-09-15 05:43:56.931242 : Epoch  7, Batch    426, Loss  0.606583, Average Loss  0.604460, Time  0.236475
2021-09-15 05:43:57.206831 : Epoch  8, Batch    578, Loss  0.616295, Average Loss  0.602903, Time  0.231172
2021-09-15 05:43:58.454293 : Epoch  7, Batch    427, Loss  0.602284, Average Loss  0.604392, Time  0.239330
2021-09-15 05:43:58.749361 : Epoch  8, Batch    579, Loss  0.606220, Average Loss  0.602983, Time  0.231366
2021-09-15 05:43:59.985960 : Epoch  7, Batch    428, Loss  0.609549, Average Loss  0.604429, Time  0.240157
2021-09-15 05:44:00.291975 : Epoch  8, Batch    580, Loss  0.607818, Average Loss  0.603031, Time  0.234473
2021-09-15 05:44:01.511654 : Epoch  7, Batch    429, Loss  0.606721, Average Loss  0.604447, Time  0.241024
2021-09-15 05:44:01.837384 : Epoch  8, Batch    581, Loss  0.609258, Average Loss  0.603076, Time  0.235389
2021-09-15 05:44:03.040017 : Epoch  7, Batch    430, Loss  0.614781, Average Loss  0.604500, Time  0.240196
2021-09-15 05:44:03.374005 : Epoch  8, Batch    582, Loss  0.609003, Average Loss  0.603068, Time  0.232005
2021-09-15 05:44:04.570931 : Epoch  7, Batch    431, Loss  0.603433, Average Loss  0.604480, Time  0.242402
2021-09-15 05:44:04.898595 : Epoch  8, Batch    583, Loss  0.613273, Average Loss  0.603125, Time  0.231516
2021-09-15 05:44:06.109443 : Epoch  7, Batch    432, Loss  0.595938, Average Loss  0.604415, Time  0.240652
2021-09-15 05:44:06.434612 : Epoch  8, Batch    584, Loss  0.600079, Average Loss  0.603138, Time  0.231337
2021-09-15 05:44:07.627069 : Epoch  7, Batch    433, Loss  0.601276, Average Loss  0.604429, Time  0.242707
2021-09-15 05:44:07.970006 : Epoch  8, Batch    585, Loss  0.602056, Average Loss  0.603184, Time  0.231951
2021-09-15 05:44:09.147372 : Epoch  7, Batch    434, Loss  0.603245, Average Loss  0.604409, Time  0.240119
2021-09-15 05:44:09.504081 : Epoch  8, Batch    586, Loss  0.592253, Average Loss  0.603115, Time  0.230953
2021-09-15 05:44:10.664884 : Epoch  7, Batch    435, Loss  0.600987, Average Loss  0.604404, Time  0.240608
2021-09-15 05:44:11.043183 : Epoch  8, Batch    587, Loss  0.612599, Average Loss  0.603230, Time  0.231265
2021-09-15 05:44:12.198155 : Epoch  7, Batch    436, Loss  0.608209, Average Loss  0.604357, Time  0.241064
2021-09-15 05:44:12.570564 : Epoch  8, Batch    588, Loss  0.591777, Average Loss  0.603145, Time  0.231098
2021-09-15 05:44:13.892939 : Epoch  7, Batch    437, Loss  0.606825, Average Loss  0.604359, Time  0.258324
2021-09-15 05:44:14.099508 : Epoch  8, Batch    589, Loss  0.609604, Average Loss  0.603208, Time  0.231293
2021-09-15 05:44:15.410778 : Epoch  7, Batch    438, Loss  0.615278, Average Loss  0.604378, Time  0.240731
2021-09-15 05:44:15.632406 : Epoch  8, Batch    590, Loss  0.606281, Average Loss  0.603215, Time  0.231840
2021-09-15 05:44:16.957909 : Epoch  7, Batch    439, Loss  0.597136, Average Loss  0.604351, Time  0.242154
2021-09-15 05:44:17.172254 : Epoch  8, Batch    591, Loss  0.603808, Average Loss  0.603175, Time  0.231671
2021-09-15 05:44:18.475371 : Epoch  7, Batch    440, Loss  0.601026, Average Loss  0.604374, Time  0.238288
2021-09-15 05:44:19.997758 : Epoch  7, Batch    441, Loss  0.601025, Average Loss  0.604403, Time  0.239640
2021-09-15 05:44:21.517104 : Epoch  7, Batch    442, Loss  0.606065, Average Loss  0.604415, Time  0.239660
2021-09-15 05:44:23.033977 : Epoch  7, Batch    443, Loss  0.610154, Average Loss  0.604447, Time  0.240125
2021-09-15 05:44:24.547907 : Epoch  7, Batch    444, Loss  0.606698, Average Loss  0.604470, Time  0.239658
2021-09-15 05:44:26.240474 : Epoch  7, Batch    445, Loss  0.601508, Average Loss  0.604473, Time  0.261177
2021-09-15 05:44:27.914865 : Epoch  7, Batch    446, Loss  0.594540, Average Loss  0.604477, Time  0.257309
2021-09-15 05:44:29.587429 : Epoch  7, Batch    447, Loss  0.594266, Average Loss  0.604419, Time  0.256281
2021-09-15 05:44:31.130169 : Epoch  7, Batch    448, Loss  0.596526, Average Loss  0.604438, Time  0.240175
2021-09-15 05:44:35.007003 : Epoch  7, Batch    449, Loss  0.605582, Average Loss  0.604449, Time  0.274358
2021-09-15 05:44:36.536805 : Epoch  7, Batch    450, Loss  0.597447, Average Loss  0.604430, Time  0.255608
2021-09-15 05:44:38.048834 : Epoch  7, Batch    451, Loss  0.624846, Average Loss  0.604551, Time  0.243611
2021-09-15 05:44:39.565875 : Epoch  7, Batch    452, Loss  0.595723, Average Loss  0.604485, Time  0.240818
2021-09-15 05:44:41.107682 : Epoch  7, Batch    453, Loss  0.599486, Average Loss  0.604416, Time  0.240568
2021-09-15 05:44:42.626401 : Epoch  7, Batch    454, Loss  0.609259, Average Loss  0.604444, Time  0.237394
2021-09-15 05:44:44.139005 : Epoch  7, Batch    455, Loss  0.612952, Average Loss  0.604422, Time  0.238271
2021-09-15 05:44:45.658346 : Epoch  7, Batch    456, Loss  0.609725, Average Loss  0.604377, Time  0.238095
2021-09-15 05:44:47.183897 : Epoch  7, Batch    457, Loss  0.604688, Average Loss  0.604357, Time  0.241457
2021-09-15 05:44:48.702421 : Epoch  7, Batch    458, Loss  0.592195, Average Loss  0.604235, Time  0.238264
2021-09-15 05:44:50.375833 : Epoch  7, Batch    459, Loss  0.609577, Average Loss  0.604229, Time  0.256590
2021-09-15 05:44:50.692620 : CheckPoint: Validation Loss  0.00030589, Best Loss  0.00029626
2021-09-15 05:44:52.064807 : Epoch  7, Batch    460, Loss  0.612002, Average Loss  0.604284, Time  0.259884
2021-09-15 05:44:53.598682 : Epoch  7, Batch    461, Loss  0.604184, Average Loss  0.604344, Time  0.238786
2021-09-15 05:44:53.694758 : Epoch  2, Batch    345, Loss  0.862212, Average Loss  0.871626, Time  0.266288
2021-09-15 05:44:55.117023 : Epoch  7, Batch    462, Loss  0.605503, Average Loss  0.604344, Time  0.238105
2021-09-15 05:44:56.629914 : Epoch  7, Batch    463, Loss  0.593599, Average Loss  0.604348, Time  0.240079
2021-09-15 05:44:56.683473 : Epoch  2, Batch    346, Loss  0.885595, Average Loss  0.871729, Time  0.264347
2021-09-15 05:44:58.154385 : Epoch  7, Batch    464, Loss  0.594179, Average Loss  0.604316, Time  0.240464
2021-09-15 05:44:59.687953 : Epoch  7, Batch    465, Loss  0.601232, Average Loss  0.604263, Time  0.239659
2021-09-15 05:44:59.702196 : Epoch  2, Batch    347, Loss  0.877382, Average Loss  0.871819, Time  0.265473
2021-09-15 05:45:01.207080 : Epoch  7, Batch    466, Loss  0.608478, Average Loss  0.604254, Time  0.240862
2021-09-15 05:45:02.710404 : Epoch  2, Batch    348, Loss  0.869593, Average Loss  0.871761, Time  0.265843
2021-09-15 05:45:02.733199 : Epoch  7, Batch    467, Loss  0.609822, Average Loss  0.604339, Time  0.239651
2021-09-15 05:45:04.254873 : Epoch  7, Batch    468, Loss  0.611403, Average Loss  0.604368, Time  0.241098
2021-09-15 05:45:05.719340 : Epoch  2, Batch    349, Loss  0.888552, Average Loss  0.871745, Time  0.265217
2021-09-15 05:45:05.797955 : Epoch  7, Batch    469, Loss  0.601148, Average Loss  0.604344, Time  0.240661
2021-09-15 05:45:07.314763 : Epoch  7, Batch    470, Loss  0.607830, Average Loss  0.604381, Time  0.241981
2021-09-15 05:45:08.745203 : Epoch  2, Batch    350, Loss  0.849729, Average Loss  0.871572, Time  0.264993
2021-09-15 05:45:08.883056 : Epoch  7, Batch    471, Loss  0.595311, Average Loss  0.604300, Time  0.238427
2021-09-15 05:45:10.396033 : Epoch  7, Batch    472, Loss  0.592804, Average Loss  0.604266, Time  0.240570
2021-09-15 05:45:11.766861 : Epoch  2, Batch    351, Loss  0.890946, Average Loss  0.871728, Time  0.265383
2021-09-15 05:45:11.931129 : Epoch  7, Batch    473, Loss  0.593104, Average Loss  0.604193, Time  0.241909
2021-09-15 05:45:13.443430 : Epoch  7, Batch    474, Loss  0.605112, Average Loss  0.604204, Time  0.240083
2021-09-15 05:45:14.794730 : Epoch  2, Batch    352, Loss  0.878469, Average Loss  0.871742, Time  0.265160
2021-09-15 05:45:14.959909 : Epoch  7, Batch    475, Loss  0.601521, Average Loss  0.604128, Time  0.239604
2021-09-15 05:45:15.292431 : CheckPoint: Validation Loss  0.00025513, Best Loss  0.00024571
2021-09-15 05:45:16.473852 : Epoch  7, Batch    476, Loss  0.599336, Average Loss  0.604075, Time  0.242715
2021-09-15 05:45:16.861203 : Epoch  8, Batch    592, Loss  0.597693, Average Loss  0.603138, Time  0.251562
2021-09-15 05:45:17.804502 : Epoch  2, Batch    353, Loss  0.871845, Average Loss  0.871732, Time  0.266079
2021-09-15 05:45:18.009214 : Epoch  7, Batch    477, Loss  0.605173, Average Loss  0.604106, Time  0.241927
2021-09-15 05:45:18.394790 : Epoch  8, Batch    593, Loss  0.595359, Average Loss  0.603166, Time  0.236148
2021-09-15 05:45:19.533419 : Epoch  7, Batch    478, Loss  0.608213, Average Loss  0.604087, Time  0.241882
2021-09-15 05:45:19.939025 : Epoch  8, Batch    594, Loss  0.607490, Average Loss  0.603192, Time  0.231505
2021-09-15 05:45:20.881034 : Epoch  2, Batch    354, Loss  0.875384, Average Loss  0.871721, Time  0.278639
2021-09-15 05:45:21.475652 : Epoch  8, Batch    595, Loss  0.597229, Average Loss  0.603222, Time  0.231419
2021-09-15 05:45:23.015439 : Epoch  8, Batch    596, Loss  0.604075, Average Loss  0.603265, Time  0.231123
2021-09-15 05:45:23.920572 : Epoch  2, Batch    355, Loss  0.867667, Average Loss  0.871673, Time  0.265797
2021-09-15 05:45:24.560362 : Epoch  8, Batch    597, Loss  0.592608, Average Loss  0.603235, Time  0.231355
2021-09-15 05:45:26.102331 : Epoch  8, Batch    598, Loss  0.596248, Average Loss  0.603194, Time  0.231059
2021-09-15 05:45:26.937982 : Epoch  2, Batch    356, Loss  0.880775, Average Loss  0.871651, Time  0.264496
2021-09-15 05:45:27.647152 : Epoch  8, Batch    599, Loss  0.605797, Average Loss  0.603178, Time  0.231220
2021-09-15 05:45:29.191322 : Epoch  8, Batch    600, Loss  0.608983, Average Loss  0.603165, Time  0.230734
2021-09-15 05:45:29.965956 : Epoch  2, Batch    357, Loss  0.872979, Average Loss  0.871638, Time  0.265434
2021-09-15 05:45:30.732609 : Epoch  8, Batch    601, Loss  0.589575, Average Loss  0.603113, Time  0.232068
2021-09-15 05:45:32.285009 : Epoch  8, Batch    602, Loss  0.610647, Average Loss  0.603162, Time  0.231401
2021-09-15 05:45:33.002950 : Epoch  2, Batch    358, Loss  0.896070, Average Loss  0.871792, Time  0.264278
2021-09-15 05:45:33.824970 : Epoch  8, Batch    603, Loss  0.610116, Average Loss  0.603181, Time  0.231329
2021-09-15 05:45:35.364053 : Epoch  8, Batch    604, Loss  0.606405, Average Loss  0.603231, Time  0.230848
2021-09-15 05:45:36.006381 : Epoch  2, Batch    359, Loss  0.870972, Average Loss  0.871885, Time  0.265048
2021-09-15 05:45:36.908460 : Epoch  8, Batch    605, Loss  0.592171, Average Loss  0.603166, Time  0.231191
2021-09-15 05:45:38.473448 : Epoch  8, Batch    606, Loss  0.604204, Average Loss  0.603194, Time  0.231156
2021-09-15 05:45:39.007365 : Epoch  2, Batch    360, Loss  0.862467, Average Loss  0.871850, Time  0.264561
2021-09-15 05:45:40.010517 : Epoch  8, Batch    607, Loss  0.604917, Average Loss  0.603166, Time  0.231831
2021-09-15 05:45:41.561961 : Epoch  8, Batch    608, Loss  0.607064, Average Loss  0.603131, Time  0.232231
2021-09-15 05:45:42.015347 : Epoch  2, Batch    361, Loss  0.880789, Average Loss  0.871975, Time  0.264570
2021-09-15 05:45:43.099532 : Epoch  8, Batch    609, Loss  0.608985, Average Loss  0.603160, Time  0.231124
2021-09-15 05:45:44.644306 : Epoch  8, Batch    610, Loss  0.598893, Average Loss  0.603129, Time  0.231145
2021-09-15 05:45:45.004170 : Epoch  2, Batch    362, Loss  0.847786, Average Loss  0.871913, Time  0.264595
2021-09-15 05:45:46.197378 : Epoch  8, Batch    611, Loss  0.608082, Average Loss  0.603159, Time  0.231407
2021-09-15 05:45:47.738890 : Epoch  8, Batch    612, Loss  0.609915, Average Loss  0.603300, Time  0.231248
2021-09-15 05:45:48.022535 : Epoch  2, Batch    363, Loss  0.875092, Average Loss  0.872100, Time  0.265913
2021-09-15 05:45:49.279353 : Epoch  8, Batch    613, Loss  0.602222, Average Loss  0.603266, Time  0.231302
2021-09-15 05:45:50.831404 : Epoch  8, Batch    614, Loss  0.602230, Average Loss  0.603307, Time  0.231197
2021-09-15 05:45:51.029142 : Epoch  2, Batch    364, Loss  0.874327, Average Loss  0.872021, Time  0.264460
2021-09-15 05:45:52.374354 : Epoch  8, Batch    615, Loss  0.600875, Average Loss  0.603268, Time  0.231531
2021-09-15 05:45:53.921113 : Epoch  8, Batch    616, Loss  0.602578, Average Loss  0.603267, Time  0.231993
2021-09-15 05:45:54.021252 : Epoch  2, Batch    365, Loss  0.849162, Average Loss  0.871863, Time  0.265042
2021-09-15 05:45:55.460604 : Epoch  8, Batch    617, Loss  0.604876, Average Loss  0.603240, Time  0.231334
2021-09-15 05:45:57.003977 : Epoch  8, Batch    618, Loss  0.600840, Average Loss  0.603238, Time  0.232813
2021-09-15 05:45:57.011896 : Epoch  2, Batch    366, Loss  0.862693, Average Loss  0.871950, Time  0.264879
2021-09-15 05:45:58.544621 : Epoch  8, Batch    619, Loss  0.599156, Average Loss  0.603176, Time  0.232113
2021-09-15 05:46:00.033066 : Epoch  2, Batch    367, Loss  0.863760, Average Loss  0.871826, Time  0.266129
2021-09-15 05:46:00.084463 : Epoch  8, Batch    620, Loss  0.601426, Average Loss  0.603208, Time  0.231617
2021-09-15 05:46:01.608617 : Epoch  8, Batch    621, Loss  0.613533, Average Loss  0.603204, Time  0.231441
2021-09-15 05:46:03.131368 : Epoch  2, Batch    368, Loss  0.855513, Average Loss  0.871685, Time  0.266041
2021-09-15 05:46:03.152800 : Epoch  8, Batch    622, Loss  0.595848, Average Loss  0.603177, Time  0.231544
2021-09-15 05:46:04.700358 : Epoch  8, Batch    623, Loss  0.599907, Average Loss  0.603202, Time  0.231103
2021-09-15 05:46:06.134656 : Epoch  2, Batch    369, Loss  0.880793, Average Loss  0.871738, Time  0.272736
2021-09-15 05:46:06.247910 : Epoch  8, Batch    624, Loss  0.598998, Average Loss  0.603146, Time  0.231320
2021-09-15 05:46:07.785274 : Epoch  8, Batch    625, Loss  0.604630, Average Loss  0.603142, Time  0.232424
2021-09-15 05:46:09.171591 : Epoch  2, Batch    370, Loss  0.873092, Average Loss  0.871683, Time  0.264501
2021-09-15 05:46:09.325335 : Epoch  8, Batch    626, Loss  0.612370, Average Loss  0.603153, Time  0.231140
2021-09-15 05:46:10.853623 : Epoch  8, Batch    627, Loss  0.590737, Average Loss  0.603104, Time  0.231582
2021-09-15 05:46:12.157110 : Epoch  2, Batch    371, Loss  0.848626, Average Loss  0.871616, Time  0.264451
2021-09-15 05:46:12.397698 : Epoch  8, Batch    628, Loss  0.604482, Average Loss  0.603069, Time  0.230998
2021-09-15 05:46:13.928371 : Epoch  8, Batch    629, Loss  0.600073, Average Loss  0.603061, Time  0.234506
2021-09-15 05:46:15.197537 : Epoch  2, Batch    372, Loss  0.884890, Average Loss  0.871747, Time  0.264465
2021-09-15 05:46:15.476332 : Epoch  8, Batch    630, Loss  0.591210, Average Loss  0.603040, Time  0.231537
2021-09-15 05:46:16.455107 : CheckPoint: Validation Loss  0.00025526, Best Loss  0.00024341
2021-09-15 05:46:17.013648 : Epoch  8, Batch    631, Loss  0.599789, Average Loss  0.603031, Time  0.232924
2021-09-15 05:46:17.978156 : Epoch  7, Batch    479, Loss  0.605094, Average Loss  0.604114, Time  0.242348
2021-09-15 05:46:18.231972 : Epoch  2, Batch    373, Loss  0.882843, Average Loss  0.871820, Time  0.265656
2021-09-15 05:46:18.564207 : Epoch  8, Batch    632, Loss  0.591155, Average Loss  0.602941, Time  0.231129
2021-09-15 05:46:19.501194 : Epoch  7, Batch    480, Loss  0.600243, Average Loss  0.604103, Time  0.239349
2021-09-15 05:46:20.099347 : Epoch  8, Batch    633, Loss  0.600370, Average Loss  0.602923, Time  0.231272
2021-09-15 05:46:21.042880 : Epoch  7, Batch    481, Loss  0.599156, Average Loss  0.604051, Time  0.239780
2021-09-15 05:46:21.262447 : Epoch  2, Batch    374, Loss  0.878229, Average Loss  0.871863, Time  0.264971
2021-09-15 05:46:21.641540 : Epoch  8, Batch    634, Loss  0.610958, Average Loss  0.602947, Time  0.231951
2021-09-15 05:46:22.561326 : Epoch  7, Batch    482, Loss  0.600490, Average Loss  0.603947, Time  0.239534
2021-09-15 05:46:23.169376 : Epoch  8, Batch    635, Loss  0.602006, Average Loss  0.602882, Time  0.231148
2021-09-15 05:46:24.087339 : Epoch  7, Batch    483, Loss  0.595554, Average Loss  0.603868, Time  0.241041
2021-09-15 05:46:24.263527 : Epoch  2, Batch    375, Loss  0.868803, Average Loss  0.871809, Time  0.264855
2021-09-15 05:46:24.725215 : Epoch  8, Batch    636, Loss  0.584394, Average Loss  0.602732, Time  0.231494
2021-09-15 05:46:25.619554 : Epoch  7, Batch    484, Loss  0.609372, Average Loss  0.603906, Time  0.239504
2021-09-15 05:46:26.258380 : Epoch  8, Batch    637, Loss  0.587858, Average Loss  0.602621, Time  0.231302
2021-09-15 05:46:27.270975 : Epoch  2, Batch    376, Loss  0.883874, Average Loss  0.871832, Time  0.265265
2021-09-15 05:46:27.291858 : Epoch  7, Batch    485, Loss  0.606181, Average Loss  0.603899, Time  0.256555
2021-09-15 05:46:27.799147 : Epoch  8, Batch    638, Loss  0.600616, Average Loss  0.602579, Time  0.231662
2021-09-15 05:46:28.822355 : Epoch  7, Batch    486, Loss  0.606368, Average Loss  0.603889, Time  0.240716
2021-09-15 05:46:29.334956 : Epoch  8, Batch    639, Loss  0.601137, Average Loss  0.602620, Time  0.232360
2021-09-15 05:46:30.279748 : Epoch  2, Batch    377, Loss  0.857753, Average Loss  0.871867, Time  0.265370
2021-09-15 05:46:30.345755 : Epoch  7, Batch    487, Loss  0.587726, Average Loss  0.603875, Time  0.240578
2021-09-15 05:46:30.864834 : Epoch  8, Batch    640, Loss  0.597658, Average Loss  0.602579, Time  0.231401
2021-09-15 05:46:31.886133 : Epoch  7, Batch    488, Loss  0.591257, Average Loss  0.603840, Time  0.241692
2021-09-15 05:46:32.422895 : Epoch  8, Batch    641, Loss  0.596861, Average Loss  0.602484, Time  0.233282
2021-09-15 05:46:33.320036 : Epoch  2, Batch    378, Loss  0.865315, Average Loss  0.871821, Time  0.266018
2021-09-15 05:46:33.409999 : Epoch  7, Batch    489, Loss  0.599897, Average Loss  0.603831, Time  0.240322
2021-09-15 05:46:33.970684 : Epoch  8, Batch    642, Loss  0.597252, Average Loss  0.602407, Time  0.231214
2021-09-15 05:46:34.939911 : Epoch  7, Batch    490, Loss  0.589077, Average Loss  0.603802, Time  0.241181
2021-09-15 05:46:35.526380 : Epoch  8, Batch    643, Loss  0.602582, Average Loss  0.602415, Time  0.231103
2021-09-15 05:46:36.364214 : Epoch  2, Batch    379, Loss  0.882661, Average Loss  0.871863, Time  0.264539
2021-09-15 05:46:36.460459 : Epoch  7, Batch    491, Loss  0.609053, Average Loss  0.603808, Time  0.239330
2021-09-15 05:46:37.082097 : Epoch  8, Batch    644, Loss  0.620772, Average Loss  0.602473, Time  0.231661
2021-09-15 05:46:37.969020 : Epoch  7, Batch    492, Loss  0.605392, Average Loss  0.603810, Time  0.238848
2021-09-15 05:46:38.639473 : Epoch  8, Batch    645, Loss  0.599214, Average Loss  0.602532, Time  0.231127
2021-09-15 05:46:39.361823 : Epoch  2, Batch    380, Loss  0.858634, Average Loss  0.871735, Time  0.265100
2021-09-15 05:46:39.493690 : Epoch  7, Batch    493, Loss  0.594126, Average Loss  0.603753, Time  0.238497
2021-09-15 05:46:40.190192 : Epoch  8, Batch    646, Loss  0.612201, Average Loss  0.602575, Time  0.231777
2021-09-15 05:46:41.184532 : Epoch  7, Batch    494, Loss  0.600303, Average Loss  0.603701, Time  0.261503
2021-09-15 05:46:41.743920 : Epoch  8, Batch    647, Loss  0.605629, Average Loss  0.602675, Time  0.234812
2021-09-15 05:46:42.359507 : Epoch  2, Batch    381, Loss  0.859170, Average Loss  0.871601, Time  0.264662
2021-09-15 05:46:42.861160 : Epoch  7, Batch    495, Loss  0.600479, Average Loss  0.603658, Time  0.257398
2021-09-15 05:46:43.291672 : Epoch  8, Batch    648, Loss  0.602695, Average Loss  0.602669, Time  0.231302
2021-09-15 05:46:44.394919 : Epoch  7, Batch    496, Loss  0.619942, Average Loss  0.603726, Time  0.238693
2021-09-15 05:46:44.832402 : Epoch  8, Batch    649, Loss  0.600743, Average Loss  0.602606, Time  0.231139
2021-09-15 05:46:45.346606 : Epoch  2, Batch    382, Loss  0.889328, Average Loss  0.871543, Time  0.264632
2021-09-15 05:46:45.922243 : Epoch  7, Batch    497, Loss  0.597946, Average Loss  0.603695, Time  0.237921
2021-09-15 05:46:46.377915 : Epoch  8, Batch    650, Loss  0.592910, Average Loss  0.602538, Time  0.231520
2021-09-15 05:46:47.463277 : Epoch  7, Batch    498, Loss  0.602957, Average Loss  0.603731, Time  0.239637
2021-09-15 05:46:47.927998 : Epoch  8, Batch    651, Loss  0.591844, Average Loss  0.602474, Time  0.231587
2021-09-15 05:46:48.352350 : Epoch  2, Batch    383, Loss  0.868742, Average Loss  0.871478, Time  0.264962
2021-09-15 05:46:48.991911 : Epoch  7, Batch    499, Loss  0.612951, Average Loss  0.603796, Time  0.237822
2021-09-15 05:46:49.466398 : Epoch  8, Batch    652, Loss  0.597131, Average Loss  0.602479, Time  0.231090
2021-09-15 05:46:50.510841 : Epoch  7, Batch    500, Loss  0.601529, Average Loss  0.603799, Time  0.238718
2021-09-15 05:46:51.012406 : Epoch  8, Batch    653, Loss  0.595846, Average Loss  0.602451, Time  0.231756
2021-09-15 05:46:51.380530 : Epoch  2, Batch    384, Loss  0.868927, Average Loss  0.871547, Time  0.276443
2021-09-15 05:46:52.027647 : Epoch  7, Batch    501, Loss  0.598219, Average Loss  0.603830, Time  0.239740
2021-09-15 05:46:52.550686 : Epoch  8, Batch    654, Loss  0.599593, Average Loss  0.602441, Time  0.231341
2021-09-15 05:46:53.537569 : Epoch  7, Batch    502, Loss  0.602418, Average Loss  0.603832, Time  0.240683
2021-09-15 05:46:54.100348 : Epoch  8, Batch    655, Loss  0.612384, Average Loss  0.602492, Time  0.231992
2021-09-15 05:46:54.391524 : Epoch  2, Batch    385, Loss  0.880014, Average Loss  0.871530, Time  0.265387
2021-09-15 05:46:55.056508 : Epoch  7, Batch    503, Loss  0.594620, Average Loss  0.603812, Time  0.237980
2021-09-15 05:46:55.641696 : Epoch  8, Batch    656, Loss  0.592279, Average Loss  0.602454, Time  0.230955
2021-09-15 05:46:56.596509 : Epoch  7, Batch    504, Loss  0.602399, Average Loss  0.603715, Time  0.239779
2021-09-15 05:46:57.193294 : Epoch  8, Batch    657, Loss  0.610087, Average Loss  0.602496, Time  0.231818
2021-09-15 05:46:57.419213 : Epoch  2, Batch    386, Loss  0.856803, Average Loss  0.871487, Time  0.265714
2021-09-15 05:46:58.268532 : Epoch  7, Batch    505, Loss  0.596772, Average Loss  0.603671, Time  0.256091
2021-09-15 05:46:58.733946 : Epoch  8, Batch    658, Loss  0.614116, Average Loss  0.602590, Time  0.231317
2021-09-15 05:46:59.782527 : Epoch  7, Batch    506, Loss  0.590695, Average Loss  0.603613, Time  0.237696
2021-09-15 05:47:00.280342 : Epoch  8, Batch    659, Loss  0.616005, Average Loss  0.602619, Time  0.231223
2021-09-15 05:47:00.464887 : Epoch  2, Batch    387, Loss  0.861403, Average Loss  0.871372, Time  0.265425
2021-09-15 05:47:01.470230 : Epoch  7, Batch    507, Loss  0.600255, Average Loss  0.603622, Time  0.260516
2021-09-15 05:47:01.827590 : Epoch  8, Batch    660, Loss  0.601023, Average Loss  0.602624, Time  0.232650
2021-09-15 05:47:03.152170 : Epoch  7, Batch    508, Loss  0.602867, Average Loss  0.603647, Time  0.256866
2021-09-15 05:47:03.367815 : Epoch  8, Batch    661, Loss  0.601708, Average Loss  0.602572, Time  0.232624
2021-09-15 05:47:03.460911 : Epoch  2, Batch    388, Loss  0.878732, Average Loss  0.871433, Time  0.266469
2021-09-15 05:47:04.819812 : Epoch  7, Batch    509, Loss  0.606565, Average Loss  0.603706, Time  0.257355
2021-09-15 05:47:06.405552 : Epoch  7, Batch    510, Loss  0.602839, Average Loss  0.603709, Time  0.238611
2021-09-15 05:47:06.481935 : Epoch  2, Batch    389, Loss  0.879947, Average Loss  0.871564, Time  0.265083
2021-09-15 05:47:07.317928 : Epoch  8, Batch    662, Loss  0.586717, Average Loss  0.602510, Time  0.268482
2021-09-15 05:47:08.093885 : Epoch  7, Batch    511, Loss  0.605545, Average Loss  0.603703, Time  0.261956
2021-09-15 05:47:08.885999 : Epoch  8, Batch    663, Loss  0.603715, Average Loss  0.602532, Time  0.238877
2021-09-15 05:47:09.495423 : Epoch  2, Batch    390, Loss  0.883429, Average Loss  0.871772, Time  0.265878
2021-09-15 05:47:09.772443 : Epoch  7, Batch    512, Loss  0.597036, Average Loss  0.603713, Time  0.260237
2021-09-15 05:47:10.425586 : Epoch  8, Batch    664, Loss  0.596600, Average Loss  0.602472, Time  0.232965
2021-09-15 05:47:11.438370 : Epoch  7, Batch    513, Loss  0.599521, Average Loss  0.603698, Time  0.256863
2021-09-15 05:47:11.956018 : Epoch  8, Batch    665, Loss  0.612293, Average Loss  0.602463, Time  0.231342
2021-09-15 05:47:12.515408 : Epoch  2, Batch    391, Loss  0.853267, Average Loss  0.871727, Time  0.265460
2021-09-15 05:47:13.114416 : Epoch  7, Batch    514, Loss  0.591451, Average Loss  0.603638, Time  0.257965
2021-09-15 05:47:13.486002 : Epoch  8, Batch    666, Loss  0.598725, Average Loss  0.602462, Time  0.231450
2021-09-15 05:47:14.791817 : Epoch  7, Batch    515, Loss  0.602028, Average Loss  0.603556, Time  0.258785
2021-09-15 05:47:15.018981 : Epoch  8, Batch    667, Loss  0.605234, Average Loss  0.602469, Time  0.231649
2021-09-15 05:47:15.533519 : Epoch  2, Batch    392, Loss  0.855139, Average Loss  0.871655, Time  0.265036
2021-09-15 05:47:16.338514 : Epoch  7, Batch    516, Loss  0.600395, Average Loss  0.603602, Time  0.240247
2021-09-15 05:47:16.552135 : Epoch  8, Batch    668, Loss  0.594582, Average Loss  0.602500, Time  0.231758
2021-09-15 05:47:17.860949 : Epoch  7, Batch    517, Loss  0.616071, Average Loss  0.603711, Time  0.238250
2021-09-15 05:47:18.082034 : Epoch  8, Batch    669, Loss  0.609678, Average Loss  0.602523, Time  0.231574
2021-09-15 05:47:18.555841 : Epoch  2, Batch    393, Loss  0.883494, Average Loss  0.871696, Time  0.264826
2021-09-15 05:47:19.379318 : Epoch  7, Batch    518, Loss  0.607085, Average Loss  0.603776, Time  0.239805
2021-09-15 05:47:19.613557 : Epoch  8, Batch    670, Loss  0.590516, Average Loss  0.602453, Time  0.230867
2021-09-15 05:47:20.896375 : Epoch  7, Batch    519, Loss  0.617064, Average Loss  0.603824, Time  0.238079
2021-09-15 05:47:21.151698 : Epoch  8, Batch    671, Loss  0.607226, Average Loss  0.602458, Time  0.231442
2021-09-15 05:47:21.574972 : Epoch  2, Batch    394, Loss  0.849065, Average Loss  0.871581, Time  0.265342
2021-09-15 05:47:22.422055 : Epoch  7, Batch    520, Loss  0.613050, Average Loss  0.603848, Time  0.238620
2021-09-15 05:47:22.681849 : Epoch  8, Batch    672, Loss  0.598098, Average Loss  0.602411, Time  0.231431
2021-09-15 05:47:23.952466 : Epoch  7, Batch    521, Loss  0.606268, Average Loss  0.603895, Time  0.240335
2021-09-15 05:47:24.213716 : Epoch  8, Batch    673, Loss  0.616231, Average Loss  0.602497, Time  0.231059
2021-09-15 05:47:24.610219 : Epoch  2, Batch    395, Loss  0.864275, Average Loss  0.871526, Time  0.266389
2021-09-15 05:47:25.477093 : Epoch  7, Batch    522, Loss  0.596009, Average Loss  0.603864, Time  0.237880
2021-09-15 05:47:25.737201 : Epoch  8, Batch    674, Loss  0.601438, Average Loss  0.602447, Time  0.232538
2021-09-15 05:47:27.153313 : Epoch  7, Batch    523, Loss  0.601003, Average Loss  0.603919, Time  0.259751
2021-09-15 05:47:27.269403 : Epoch  8, Batch    675, Loss  0.607545, Average Loss  0.602524, Time  0.231390
2021-09-15 05:47:27.612647 : Epoch  2, Batch    396, Loss  0.888038, Average Loss  0.871558, Time  0.264879
2021-09-15 05:47:28.816753 : Epoch  8, Batch    676, Loss  0.606019, Average Loss  0.602495, Time  0.233142
2021-09-15 05:47:28.851017 : Epoch  7, Batch    524, Loss  0.587573, Average Loss  0.603828, Time  0.259420
2021-09-15 05:47:30.358963 : Epoch  8, Batch    677, Loss  0.595823, Average Loss  0.602500, Time  0.231958
2021-09-15 05:47:30.539024 : Epoch  7, Batch    525, Loss  0.614945, Average Loss  0.603882, Time  0.260285
2021-09-15 05:47:30.649859 : Epoch  2, Batch    397, Loss  0.877199, Average Loss  0.871471, Time  0.265746
2021-09-15 05:47:31.903652 : Epoch  8, Batch    678, Loss  0.606502, Average Loss  0.602504, Time  0.230991
2021-09-15 05:47:32.206922 : Epoch  7, Batch    526, Loss  0.601604, Average Loss  0.603857, Time  0.258049
2021-09-15 05:47:33.460063 : Epoch  8, Batch    679, Loss  0.609324, Average Loss  0.602592, Time  0.231377
2021-09-15 05:47:33.660156 : Epoch  2, Batch    398, Loss  0.879834, Average Loss  0.871414, Time  0.264592
2021-09-15 05:47:33.869352 : Epoch  7, Batch    527, Loss  0.606765, Average Loss  0.603856, Time  0.259069
2021-09-15 05:47:35.009234 : Epoch  8, Batch    680, Loss  0.604574, Average Loss  0.602624, Time  0.232750
2021-09-15 05:47:35.527010 : Epoch  7, Batch    528, Loss  0.603756, Average Loss  0.603866, Time  0.241746
2021-09-15 05:47:36.551754 : Epoch  8, Batch    681, Loss  0.598543, Average Loss  0.602618, Time  0.231078
2021-09-15 05:47:36.705363 : Epoch  2, Batch    399, Loss  0.857047, Average Loss  0.871276, Time  0.274557
2021-09-15 05:47:37.061434 : Epoch  7, Batch    529, Loss  0.593836, Average Loss  0.603826, Time  0.241544
2021-09-15 05:47:38.112364 : Epoch  8, Batch    682, Loss  0.606032, Average Loss  0.602621, Time  0.231585
2021-09-15 05:47:38.591359 : Epoch  7, Batch    530, Loss  0.605835, Average Loss  0.603837, Time  0.238339
2021-09-15 05:47:39.667816 : Epoch  8, Batch    683, Loss  0.597707, Average Loss  0.602623, Time  0.231645
2021-09-15 05:47:39.749874 : Epoch  2, Batch    400, Loss  0.876538, Average Loss  0.871430, Time  0.266006
2021-09-15 05:47:40.109981 : Epoch  7, Batch    531, Loss  0.587088, Average Loss  0.603744, Time  0.238695
2021-09-15 05:47:41.214932 : Epoch  8, Batch    684, Loss  0.600691, Average Loss  0.602592, Time  0.231344
2021-09-15 05:47:41.644815 : Epoch  7, Batch    532, Loss  0.608006, Average Loss  0.603694, Time  0.241209
2021-09-15 05:47:42.754091 : Epoch  8, Batch    685, Loss  0.588728, Average Loss  0.602514, Time  0.232174
2021-09-15 05:47:42.799958 : Epoch  2, Batch    401, Loss  0.883975, Average Loss  0.871521, Time  0.265635
2021-09-15 05:47:43.159838 : Epoch  7, Batch    533, Loss  0.612011, Average Loss  0.603670, Time  0.238644
2021-09-15 05:47:44.300372 : Epoch  8, Batch    686, Loss  0.602859, Average Loss  0.602497, Time  0.231209
2021-09-15 05:47:44.675979 : Epoch  7, Batch    534, Loss  0.606048, Average Loss  0.603651, Time  0.238851
2021-09-15 05:47:45.844985 : Epoch  2, Batch    402, Loss  0.873962, Average Loss  0.871477, Time  0.265503
2021-09-15 05:47:45.860252 : Epoch  8, Batch    687, Loss  0.592634, Average Loss  0.602525, Time  0.232329
2021-09-15 05:47:46.214057 : Epoch  7, Batch    535, Loss  0.603098, Average Loss  0.603569, Time  0.239967
2021-09-15 05:47:47.417329 : Epoch  8, Batch    688, Loss  0.604220, Average Loss  0.602557, Time  0.231340
2021-09-15 05:47:47.736316 : Epoch  7, Batch    536, Loss  0.611553, Average Loss  0.603572, Time  0.240708
2021-09-15 05:47:48.852702 : Epoch  2, Batch    403, Loss  0.880669, Average Loss  0.871477, Time  0.264766
2021-09-15 05:47:48.961366 : Epoch  8, Batch    689, Loss  0.603872, Average Loss  0.602594, Time  0.231277
2021-09-15 05:47:49.244767 : Epoch  7, Batch    537, Loss  0.592096, Average Loss  0.603454, Time  0.240350
2021-09-15 05:47:50.511593 : Epoch  8, Batch    690, Loss  0.601686, Average Loss  0.602559, Time  0.231187
2021-09-15 05:47:50.767837 : Epoch  7, Batch    538, Loss  0.599127, Average Loss  0.603434, Time  0.239527
2021-09-15 05:47:51.859510 : Epoch  2, Batch    404, Loss  0.859538, Average Loss  0.871513, Time  0.264540
2021-09-15 05:47:52.051387 : Epoch  8, Batch    691, Loss  0.595631, Average Loss  0.602543, Time  0.231075
2021-09-15 05:47:52.300018 : Epoch  7, Batch    539, Loss  0.601753, Average Loss  0.603426, Time  0.241621
2021-09-15 05:47:53.805362 : Epoch  7, Batch    540, Loss  0.592901, Average Loss  0.603378, Time  0.239691
2021-09-15 05:47:54.895798 : Epoch  2, Batch    405, Loss  0.855850, Average Loss  0.871361, Time  0.264598
2021-09-15 05:47:55.328920 : Epoch  7, Batch    541, Loss  0.586631, Average Loss  0.603373, Time  0.242197
2021-09-15 05:47:56.834401 : Epoch  7, Batch    542, Loss  0.604763, Average Loss  0.603391, Time  0.238714
2021-09-15 05:47:57.919776 : Epoch  2, Batch    406, Loss  0.860603, Average Loss  0.871393, Time  0.264405
2021-09-15 05:47:58.383918 : Epoch  7, Batch    543, Loss  0.595658, Average Loss  0.603379, Time  0.244139
2021-09-15 05:47:59.905159 : Epoch  7, Batch    544, Loss  0.598949, Average Loss  0.603372, Time  0.240607
2021-09-15 05:48:00.950077 : Epoch  2, Batch    407, Loss  0.863867, Average Loss  0.871390, Time  0.265683
2021-09-15 05:48:01.436152 : Epoch  7, Batch    545, Loss  0.603367, Average Loss  0.603340, Time  0.242383
2021-09-15 05:48:02.949759 : Epoch  7, Batch    546, Loss  0.588354, Average Loss  0.603210, Time  0.238298
2021-09-15 05:48:03.959133 : Epoch  2, Batch    408, Loss  0.887282, Average Loss  0.871319, Time  0.266647
2021-09-15 05:48:04.471961 : Epoch  7, Batch    547, Loss  0.606202, Average Loss  0.603221, Time  0.240583
2021-09-15 05:48:06.005795 : Epoch  7, Batch    548, Loss  0.588220, Average Loss  0.603133, Time  0.242646
2021-09-15 05:48:06.972484 : Epoch  2, Batch    409, Loss  0.870757, Average Loss  0.871266, Time  0.264576
2021-09-15 05:48:09.972592 : Epoch  2, Batch    410, Loss  0.871264, Average Loss  0.871284, Time  0.265645
2021-09-15 05:48:10.023204 : Epoch  7, Batch    549, Loss  0.605720, Average Loss  0.603162, Time  0.267248
2021-09-15 05:48:11.707030 : Epoch  7, Batch    550, Loss  0.604280, Average Loss  0.603215, Time  0.259747
2021-09-15 05:48:12.982962 : Epoch  2, Batch    411, Loss  0.877714, Average Loss  0.871368, Time  0.266188
2021-09-15 05:48:13.257467 : Epoch  7, Batch    551, Loss  0.610896, Average Loss  0.603244, Time  0.241030
2021-09-15 05:48:14.781805 : Epoch  7, Batch    552, Loss  0.614570, Average Loss  0.603224, Time  0.241788
2021-09-15 05:48:16.051689 : Epoch  2, Batch    412, Loss  0.855708, Average Loss  0.871267, Time  0.264637
2021-09-15 05:48:16.309829 : Epoch  7, Batch    553, Loss  0.601250, Average Loss  0.603213, Time  0.242053
2021-09-15 05:48:17.858181 : Epoch  7, Batch    554, Loss  0.609517, Average Loss  0.603245, Time  0.240316
2021-09-15 05:48:19.065732 : Epoch  2, Batch    413, Loss  0.865773, Average Loss  0.871256, Time  0.265527
2021-09-15 05:48:19.381054 : Epoch  7, Batch    555, Loss  0.604189, Average Loss  0.603194, Time  0.240905
2021-09-15 05:48:20.893903 : Epoch  7, Batch    556, Loss  0.600574, Average Loss  0.603154, Time  0.238257
2021-09-15 05:48:22.083960 : Epoch  2, Batch    414, Loss  0.879503, Average Loss  0.871351, Time  0.276224
2021-09-15 05:48:22.431902 : Epoch  7, Batch    557, Loss  0.616502, Average Loss  0.603224, Time  0.240453
2021-09-15 05:48:23.947376 : Epoch  7, Batch    558, Loss  0.603512, Average Loss  0.603219, Time  0.240189
2021-09-15 05:48:25.097409 : Epoch  2, Batch    415, Loss  0.857999, Average Loss  0.871388, Time  0.265559
2021-09-15 05:48:25.467039 : Epoch  7, Batch    559, Loss  0.612755, Average Loss  0.603216, Time  0.237215
2021-09-15 05:48:27.136818 : Epoch  7, Batch    560, Loss  0.592904, Average Loss  0.603155, Time  0.257816
2021-09-15 05:48:28.107480 : Epoch  2, Batch    416, Loss  0.867176, Average Loss  0.871420, Time  0.264948
2021-09-15 05:48:28.808402 : Epoch  7, Batch    561, Loss  0.606977, Average Loss  0.603203, Time  0.256348
2021-09-15 05:48:30.485941 : Epoch  7, Batch    562, Loss  0.596864, Average Loss  0.603112, Time  0.260385
2021-09-15 05:48:31.128655 : Epoch  2, Batch    417, Loss  0.853219, Average Loss  0.871325, Time  0.265764
2021-09-15 05:48:32.187495 : Epoch  7, Batch    563, Loss  0.604992, Average Loss  0.603094, Time  0.258398
2021-09-15 05:48:33.870870 : Epoch  7, Batch    564, Loss  0.601672, Average Loss  0.603071, Time  0.260674
2021-09-15 05:48:34.137172 : Epoch  2, Batch    418, Loss  0.862756, Average Loss  0.871174, Time  0.265944
2021-09-15 05:48:35.564183 : Epoch  7, Batch    565, Loss  0.600155, Average Loss  0.603061, Time  0.269991
2021-09-15 05:48:37.105565 : Epoch  7, Batch    566, Loss  0.592473, Average Loss  0.602926, Time  0.240399
2021-09-15 05:48:37.153977 : Epoch  2, Batch    419, Loss  0.882359, Average Loss  0.871221, Time  0.265424
2021-09-15 05:48:38.631815 : Epoch  7, Batch    567, Loss  0.617271, Average Loss  0.602958, Time  0.240620
2021-09-15 05:48:40.157693 : Epoch  7, Batch    568, Loss  0.606928, Average Loss  0.603000, Time  0.238406
2021-09-15 05:48:40.203377 : Epoch  2, Batch    420, Loss  0.889111, Average Loss  0.871336, Time  0.265758
2021-09-15 05:48:41.679385 : Epoch  7, Batch    569, Loss  0.608768, Average Loss  0.603044, Time  0.239293
2021-09-15 05:48:43.211366 : Epoch  7, Batch    570, Loss  0.605069, Average Loss  0.603038, Time  0.240768
2021-09-15 05:48:43.251059 : Epoch  2, Batch    421, Loss  0.868761, Average Loss  0.871223, Time  0.264652
2021-09-15 05:48:44.907440 : Epoch  7, Batch    571, Loss  0.614406, Average Loss  0.603079, Time  0.260710
2021-09-15 05:48:46.289557 : Epoch  2, Batch    422, Loss  0.869903, Average Loss  0.871275, Time  0.264708
2021-09-15 05:48:46.588772 : Epoch  7, Batch    572, Loss  0.612896, Average Loss  0.603120, Time  0.258562
2021-09-15 05:48:48.105817 : Epoch  7, Batch    573, Loss  0.602152, Average Loss  0.603135, Time  0.239079
2021-09-15 05:48:49.305928 : Epoch  2, Batch    423, Loss  0.869697, Average Loss  0.871147, Time  0.265747
2021-09-15 05:48:49.646840 : Epoch  7, Batch    574, Loss  0.602552, Average Loss  0.603037, Time  0.244822
2021-09-15 05:48:50.132730 : CheckPoint: Validation Loss  0.00024504, Best Loss  0.00024504
2021-09-15 05:48:50.163164 : Best Model Updated
2021-09-15 05:48:51.199493 : Epoch  7, Batch    575, Loss  0.592814, Average Loss  0.602963, Time  0.239723
2021-09-15 05:48:52.307559 : Epoch  2, Batch    424, Loss  0.877426, Average Loss  0.871245, Time  0.264898
2021-09-15 05:48:52.556044 : Epoch  8, Batch    692, Loss  0.605502, Average Loss  0.602527, Time  0.261997
2021-09-15 05:48:52.726678 : Epoch  7, Batch    576, Loss  0.600833, Average Loss  0.602923, Time  0.239635
2021-09-15 05:48:54.122908 : Epoch  8, Batch    693, Loss  0.604973, Average Loss  0.602485, Time  0.249340
2021-09-15 05:48:54.247396 : Epoch  7, Batch    577, Loss  0.600924, Average Loss  0.602951, Time  0.246118
2021-09-15 05:48:55.315916 : Epoch  2, Batch    425, Loss  0.874744, Average Loss  0.871222, Time  0.265628
2021-09-15 05:48:55.667030 : Epoch  8, Batch    694, Loss  0.611940, Average Loss  0.602521, Time  0.231347
2021-09-15 05:48:55.763359 : Epoch  7, Batch    578, Loss  0.613186, Average Loss  0.602979, Time  0.241238
2021-09-15 05:48:57.205057 : Epoch  8, Batch    695, Loss  0.600218, Average Loss  0.602501, Time  0.231273
2021-09-15 05:48:58.358472 : Epoch  2, Batch    426, Loss  0.868012, Average Loss  0.871173, Time  0.265795
2021-09-15 05:48:58.752919 : Epoch  8, Batch    696, Loss  0.609291, Average Loss  0.602484, Time  0.231579
2021-09-15 05:49:00.290258 : Epoch  8, Batch    697, Loss  0.598930, Average Loss  0.602458, Time  0.231239
2021-09-15 05:49:01.376871 : Epoch  2, Batch    427, Loss  0.858760, Average Loss  0.871090, Time  0.264900
2021-09-15 05:49:01.838604 : Epoch  8, Batch    698, Loss  0.607057, Average Loss  0.602489, Time  0.231736
2021-09-15 05:49:03.373098 : Epoch  8, Batch    699, Loss  0.602272, Average Loss  0.602501, Time  0.231248
2021-09-15 05:49:04.388287 : Epoch  2, Batch    428, Loss  0.877291, Average Loss  0.871253, Time  0.266863
2021-09-15 05:49:04.914181 : Epoch  8, Batch    700, Loss  0.620679, Average Loss  0.602571, Time  0.231181
2021-09-15 05:49:06.459408 : Epoch  8, Batch    701, Loss  0.605527, Average Loss  0.602603, Time  0.231951
2021-09-15 05:49:07.408379 : Epoch  2, Batch    429, Loss  0.882133, Average Loss  0.871296, Time  0.276593
2021-09-15 05:49:08.016162 : Epoch  8, Batch    702, Loss  0.598064, Average Loss  0.602577, Time  0.231766
2021-09-15 05:49:09.561262 : Epoch  8, Batch    703, Loss  0.609903, Average Loss  0.602616, Time  0.232475
2021-09-15 05:49:10.416222 : Epoch  2, Batch    430, Loss  0.877762, Average Loss  0.871323, Time  0.263779
2021-09-15 05:49:11.098082 : Epoch  8, Batch    704, Loss  0.613395, Average Loss  0.602687, Time  0.231691
2021-09-15 05:49:12.645980 : Epoch  8, Batch    705, Loss  0.598146, Average Loss  0.602717, Time  0.231548
2021-09-15 05:49:13.423945 : Epoch  2, Batch    431, Loss  0.864268, Average Loss  0.871165, Time  0.265600
2021-09-15 05:49:14.195264 : Epoch  8, Batch    706, Loss  0.608101, Average Loss  0.602704, Time  0.231381
2021-09-15 05:49:15.752102 : Epoch  8, Batch    707, Loss  0.590047, Average Loss  0.602647, Time  0.231633
2021-09-15 05:49:16.435380 : Epoch  2, Batch    432, Loss  0.875344, Average Loss  0.871132, Time  0.264733
2021-09-15 05:49:17.294007 : Epoch  8, Batch    708, Loss  0.599710, Average Loss  0.602666, Time  0.231356
2021-09-15 05:49:18.833578 : Epoch  8, Batch    709, Loss  0.607715, Average Loss  0.602708, Time  0.231482
2021-09-15 05:49:19.457841 : Epoch  2, Batch    433, Loss  0.875436, Average Loss  0.871080, Time  0.264818
2021-09-15 05:49:20.390068 : Epoch  8, Batch    710, Loss  0.596190, Average Loss  0.602637, Time  0.231077
2021-09-15 05:49:21.935886 : Epoch  8, Batch    711, Loss  0.603282, Average Loss  0.602679, Time  0.231570
2021-09-15 05:49:22.499547 : Epoch  2, Batch    434, Loss  0.879192, Average Loss  0.871041, Time  0.265606
2021-09-15 05:49:23.486367 : Epoch  8, Batch    712, Loss  0.611376, Average Loss  0.602733, Time  0.230979
2021-09-15 05:49:25.039328 : Epoch  8, Batch    713, Loss  0.590942, Average Loss  0.602636, Time  0.231291
2021-09-15 05:49:25.551592 : Epoch  2, Batch    435, Loss  0.877231, Average Loss  0.871081, Time  0.265632
2021-09-15 05:49:26.585357 : Epoch  8, Batch    714, Loss  0.601274, Average Loss  0.602638, Time  0.231098
2021-09-15 05:49:28.134392 : Epoch  8, Batch    715, Loss  0.595774, Average Loss  0.602556, Time  0.231140
2021-09-15 05:49:28.594409 : Epoch  2, Batch    436, Loss  0.855732, Average Loss  0.870987, Time  0.264508
2021-09-15 05:49:29.677488 : Epoch  8, Batch    716, Loss  0.595684, Average Loss  0.602531, Time  0.231276
2021-09-15 05:49:31.226975 : Epoch  8, Batch    717, Loss  0.597702, Average Loss  0.602495, Time  0.231727
2021-09-15 05:49:31.590682 : Epoch  2, Batch    437, Loss  0.863061, Average Loss  0.870986, Time  0.264388
2021-09-15 05:49:32.770287 : Epoch  8, Batch    718, Loss  0.599881, Average Loss  0.602494, Time  0.231563
2021-09-15 05:49:34.326393 : Epoch  8, Batch    719, Loss  0.600725, Average Loss  0.602451, Time  0.231466
2021-09-15 05:49:34.626619 : Epoch  2, Batch    438, Loss  0.858987, Average Loss  0.870921, Time  0.264762
2021-09-15 05:49:35.872661 : Epoch  8, Batch    720, Loss  0.597232, Average Loss  0.602421, Time  0.231159
2021-09-15 05:49:37.417846 : Epoch  8, Batch    721, Loss  0.591419, Average Loss  0.602380, Time  0.231314
2021-09-15 05:49:37.632732 : Epoch  2, Batch    439, Loss  0.848380, Average Loss  0.870752, Time  0.265364
2021-09-15 05:49:38.967061 : Epoch  8, Batch    722, Loss  0.614027, Average Loss  0.602443, Time  0.231081
2021-09-15 05:49:40.514557 : Epoch  8, Batch    723, Loss  0.617012, Average Loss  0.602471, Time  0.232070
2021-09-15 05:49:40.649309 : Epoch  2, Batch    440, Loss  0.894227, Average Loss  0.870936, Time  0.265708
2021-09-15 05:49:42.066044 : Epoch  8, Batch    724, Loss  0.599884, Average Loss  0.602473, Time  0.232311
2021-09-15 05:49:43.605545 : Epoch  8, Batch    725, Loss  0.607852, Average Loss  0.602442, Time  0.231319
2021-09-15 05:49:43.692851 : Epoch  2, Batch    441, Loss  0.829328, Average Loss  0.870732, Time  0.264975
2021-09-15 05:49:45.156006 : Epoch  8, Batch    726, Loss  0.597132, Average Loss  0.602385, Time  0.232428
2021-09-15 05:49:46.695382 : Epoch  8, Batch    727, Loss  0.594710, Average Loss  0.602328, Time  0.230843
2021-09-15 05:49:46.738166 : Epoch  2, Batch    442, Loss  0.874204, Average Loss  0.870769, Time  0.265259
2021-09-15 05:49:48.246394 : Epoch  8, Batch    728, Loss  0.597214, Average Loss  0.602267, Time  0.232996
2021-09-15 05:49:49.742982 : Epoch  2, Batch    443, Loss  0.859732, Average Loss  0.870701, Time  0.266122
2021-09-15 05:49:49.779803 : Epoch  8, Batch    729, Loss  0.590710, Average Loss  0.602204, Time  0.231065
2021-09-15 05:49:51.322931 : Epoch  8, Batch    730, Loss  0.600585, Average Loss  0.602165, Time  0.231172
2021-09-15 05:49:52.762906 : Epoch  2, Batch    444, Loss  0.839368, Average Loss  0.870461, Time  0.272200
2021-09-15 05:49:52.873329 : Epoch  8, Batch    731, Loss  0.601023, Average Loss  0.602150, Time  0.231545
2021-09-15 05:49:54.410375 : Epoch  8, Batch    732, Loss  0.597548, Average Loss  0.602065, Time  0.231366
2021-09-15 05:49:55.498709 : CheckPoint: Validation Loss  0.00025225, Best Loss  0.00024341
2021-09-15 05:49:55.954085 : Epoch  8, Batch    733, Loss  0.591437, Average Loss  0.601973, Time  0.231522
2021-09-15 05:49:57.018780 : Epoch  7, Batch    579, Loss  0.613625, Average Loss  0.603119, Time  0.241016
2021-09-15 05:49:57.490948 : Epoch  8, Batch    734, Loss  0.617258, Average Loss  0.601971, Time  0.231333
2021-09-15 05:49:58.537748 : Epoch  7, Batch    580, Loss  0.595259, Average Loss  0.603052, Time  0.240300
2021-09-15 05:49:59.029802 : Epoch  8, Batch    735, Loss  0.609747, Average Loss  0.602027, Time  0.231584
2021-09-15 05:50:00.053729 : Epoch  7, Batch    581, Loss  0.600759, Average Loss  0.603024, Time  0.240528
2021-09-15 05:50:00.573409 : Epoch  8, Batch    736, Loss  0.603226, Average Loss  0.602077, Time  0.236125
2021-09-15 05:50:01.575363 : Epoch  7, Batch    582, Loss  0.606669, Average Loss  0.603049, Time  0.242404
2021-09-15 05:50:02.107373 : Epoch  8, Batch    737, Loss  0.605223, Average Loss  0.602098, Time  0.231868
2021-09-15 05:50:03.113849 : Epoch  7, Batch    583, Loss  0.606231, Average Loss  0.603108, Time  0.241080
2021-09-15 05:50:03.659907 : Epoch  8, Batch    738, Loss  0.605293, Average Loss  0.602111, Time  0.233461
2021-09-15 05:50:04.636564 : Epoch  7, Batch    584, Loss  0.605975, Average Loss  0.603119, Time  0.238665
2021-09-15 05:50:05.211876 : Epoch  8, Batch    739, Loss  0.600539, Average Loss  0.602151, Time  0.231948
2021-09-15 05:50:06.159820 : Epoch  7, Batch    585, Loss  0.597723, Average Loss  0.603133, Time  0.239032
2021-09-15 05:50:06.752029 : Epoch  8, Batch    740, Loss  0.595163, Average Loss  0.602089, Time  0.231392
2021-09-15 05:50:07.702996 : Epoch  7, Batch    586, Loss  0.608940, Average Loss  0.603179, Time  0.239361
2021-09-15 05:50:08.295355 : Epoch  8, Batch    741, Loss  0.602018, Average Loss  0.602139, Time  0.232028
2021-09-15 05:50:09.241080 : Epoch  7, Batch    587, Loss  0.592054, Average Loss  0.603104, Time  0.240559
2021-09-15 05:50:09.846592 : Epoch  8, Batch    742, Loss  0.596524, Average Loss  0.602178, Time  0.231601
2021-09-15 05:50:10.767160 : Epoch  7, Batch    588, Loss  0.603840, Average Loss  0.603113, Time  0.241897
2021-09-15 05:50:11.393930 : Epoch  8, Batch    743, Loss  0.597257, Average Loss  0.602214, Time  0.231445
2021-09-15 05:50:12.285817 : Epoch  7, Batch    589, Loss  0.600888, Average Loss  0.603054, Time  0.238792
2021-09-15 05:50:12.939029 : Epoch  8, Batch    744, Loss  0.620980, Average Loss  0.602275, Time  0.231637
2021-09-15 05:50:13.817896 : Epoch  7, Batch    590, Loss  0.602318, Average Loss  0.602992, Time  0.242903
2021-09-15 05:50:14.500221 : Epoch  8, Batch    745, Loss  0.596057, Average Loss  0.602177, Time  0.231635
2021-09-15 05:50:15.354837 : Epoch  7, Batch    591, Loss  0.599647, Average Loss  0.602917, Time  0.240534
2021-09-15 05:50:16.064971 : Epoch  8, Batch    746, Loss  0.611586, Average Loss  0.602190, Time  0.231430
2021-09-15 05:50:16.878789 : Epoch  7, Batch    592, Loss  0.601690, Average Loss  0.602812, Time  0.239623
2021-09-15 05:50:17.607926 : Epoch  8, Batch    747, Loss  0.602694, Average Loss  0.602224, Time  0.234441
2021-09-15 05:50:18.401638 : Epoch  7, Batch    593, Loss  0.607616, Average Loss  0.602819, Time  0.237061
2021-09-15 05:50:19.157075 : Epoch  8, Batch    748, Loss  0.603644, Average Loss  0.602218, Time  0.231574
2021-09-15 05:50:19.946787 : Epoch  7, Batch    594, Loss  0.606223, Average Loss  0.602846, Time  0.241587
2021-09-15 05:50:20.700954 : Epoch  8, Batch    749, Loss  0.607140, Average Loss  0.602204, Time  0.231125
2021-09-15 05:50:21.485418 : Epoch  7, Batch    595, Loss  0.607424, Average Loss  0.602862, Time  0.238584
2021-09-15 05:50:22.254043 : Epoch  8, Batch    750, Loss  0.599297, Average Loss  0.602156, Time  0.231863
2021-09-15 05:50:23.005362 : Epoch  7, Batch    596, Loss  0.606997, Average Loss  0.602898, Time  0.237436
2021-09-15 05:50:23.804225 : Epoch  8, Batch    751, Loss  0.596599, Average Loss  0.602126, Time  0.231234
2021-09-15 05:50:24.534861 : Epoch  7, Batch    597, Loss  0.598881, Average Loss  0.602849, Time  0.237705
2021-09-15 05:50:25.349020 : Epoch  8, Batch    752, Loss  0.607607, Average Loss  0.602104, Time  0.231431
2021-09-15 05:50:26.073365 : Epoch  7, Batch    598, Loss  0.595555, Average Loss  0.602815, Time  0.240764
2021-09-15 05:50:26.904425 : Epoch  8, Batch    753, Loss  0.601293, Average Loss  0.602117, Time  0.231635
2021-09-15 05:50:27.752198 : Epoch  7, Batch    599, Loss  0.608554, Average Loss  0.602892, Time  0.258407
2021-09-15 05:50:28.449082 : Epoch  8, Batch    754, Loss  0.605297, Average Loss  0.602126, Time  0.231647
2021-09-15 05:50:29.272050 : Epoch  7, Batch    600, Loss  0.608980, Average Loss  0.602977, Time  0.238470
2021-09-15 05:50:29.994041 : Epoch  8, Batch    755, Loss  0.596383, Average Loss  0.602118, Time  0.232305
2021-09-15 05:50:30.797827 : Epoch  7, Batch    601, Loss  0.596638, Average Loss  0.602963, Time  0.238495
2021-09-15 05:50:31.539406 : Epoch  8, Batch    756, Loss  0.588961, Average Loss  0.602041, Time  0.231215
2021-09-15 05:50:32.327836 : Epoch  7, Batch    602, Loss  0.596632, Average Loss  0.602930, Time  0.238392
2021-09-15 05:50:33.088549 : Epoch  8, Batch    757, Loss  0.605347, Average Loss  0.602049, Time  0.231239
2021-09-15 05:50:33.867497 : Epoch  7, Batch    603, Loss  0.593230, Average Loss  0.602838, Time  0.239150
2021-09-15 05:50:34.633132 : Epoch  8, Batch    758, Loss  0.603824, Average Loss  0.602030, Time  0.232515
2021-09-15 05:50:35.381368 : Epoch  7, Batch    604, Loss  0.617008, Average Loss  0.602940, Time  0.237486
2021-09-15 05:50:36.176007 : Epoch  8, Batch    759, Loss  0.601374, Average Loss  0.602031, Time  0.231922
2021-09-15 05:50:36.910075 : Epoch  7, Batch    605, Loss  0.598428, Average Loss  0.602937, Time  0.236453
2021-09-15 05:50:37.722387 : Epoch  8, Batch    760, Loss  0.597833, Average Loss  0.602022, Time  0.231132
2021-09-15 05:50:38.440957 : Epoch  7, Batch    606, Loss  0.601170, Average Loss  0.602859, Time  0.237867
2021-09-15 05:50:39.268306 : Epoch  8, Batch    761, Loss  0.602244, Average Loss  0.601993, Time  0.232337
2021-09-15 05:50:39.978829 : Epoch  7, Batch    607, Loss  0.604475, Average Loss  0.602846, Time  0.239846
2021-09-15 05:50:41.672426 : Epoch  7, Batch    608, Loss  0.602814, Average Loss  0.602870, Time  0.260798
2021-09-15 05:50:43.197262 : Epoch  8, Batch    762, Loss  0.616695, Average Loss  0.602090, Time  0.270045
2021-09-15 05:50:43.366000 : Epoch  7, Batch    609, Loss  0.606741, Average Loss  0.602875, Time  0.259125
2021-09-15 05:50:44.756542 : Epoch  8, Batch    763, Loss  0.597097, Average Loss  0.602064, Time  0.247473
2021-09-15 05:50:45.044637 : Epoch  7, Batch    610, Loss  0.601816, Average Loss  0.602861, Time  0.259786
2021-09-15 05:50:46.319048 : Epoch  8, Batch    764, Loss  0.610073, Average Loss  0.602141, Time  0.231880
2021-09-15 05:50:46.573401 : Epoch  7, Batch    611, Loss  0.594078, Average Loss  0.602826, Time  0.241239
2021-09-15 05:50:47.858986 : Epoch  8, Batch    765, Loss  0.611547, Average Loss  0.602231, Time  0.232032
2021-09-15 05:50:48.107387 : Epoch  7, Batch    612, Loss  0.602097, Average Loss  0.602787, Time  0.238675
2021-09-15 05:50:49.401369 : Epoch  8, Batch    766, Loss  0.606866, Average Loss  0.602272, Time  0.231314
2021-09-15 05:50:49.625244 : Epoch  7, Batch    613, Loss  0.591111, Average Loss  0.602754, Time  0.239237
2021-09-15 05:50:50.942881 : Epoch  8, Batch    767, Loss  0.598998, Average Loss  0.602333, Time  0.231696
2021-09-15 05:50:51.168063 : Epoch  7, Batch    614, Loss  0.601891, Average Loss  0.602776, Time  0.240360
2021-09-15 05:50:52.489033 : Epoch  8, Batch    768, Loss  0.602565, Average Loss  0.602322, Time  0.231790
2021-09-15 05:50:52.695749 : Epoch  7, Batch    615, Loss  0.599698, Average Loss  0.602770, Time  0.238529
2021-09-15 05:50:54.034307 : Epoch  8, Batch    769, Loss  0.600641, Average Loss  0.602303, Time  0.231994
2021-09-15 05:50:54.206039 : Epoch  7, Batch    616, Loss  0.610498, Average Loss  0.602826, Time  0.239775
2021-09-15 05:50:55.576326 : Epoch  8, Batch    770, Loss  0.602121, Average Loss  0.602281, Time  0.232236
2021-09-15 05:50:55.733775 : Epoch  7, Batch    617, Loss  0.598301, Average Loss  0.602817, Time  0.238740
2021-09-15 05:50:57.119595 : Epoch  8, Batch    771, Loss  0.590143, Average Loss  0.602193, Time  0.232661
2021-09-15 05:50:57.271981 : Epoch  7, Batch    618, Loss  0.603357, Average Loss  0.602794, Time  0.240760
2021-09-15 05:50:58.663799 : Epoch  8, Batch    772, Loss  0.596908, Average Loss  0.602164, Time  0.232245
2021-09-15 05:50:58.795400 : Epoch  7, Batch    619, Loss  0.604560, Average Loss  0.602802, Time  0.239469
2021-09-15 05:51:00.211377 : Epoch  8, Batch    773, Loss  0.615277, Average Loss  0.602285, Time  0.231653
2021-09-15 05:51:00.327284 : Epoch  7, Batch    620, Loss  0.597408, Average Loss  0.602788, Time  0.239631
2021-09-15 05:51:01.752721 : Epoch  8, Batch    774, Loss  0.605785, Average Loss  0.602297, Time  0.231465
2021-09-15 05:51:01.857770 : Epoch  7, Batch    621, Loss  0.612950, Average Loss  0.602846, Time  0.241859
2021-09-15 05:51:03.299396 : Epoch  8, Batch    775, Loss  0.603524, Average Loss  0.602331, Time  0.231381
2021-09-15 05:51:03.373845 : Epoch  7, Batch    622, Loss  0.595252, Average Loss  0.602835, Time  0.239329
2021-09-15 05:51:04.854129 : Epoch  8, Batch    776, Loss  0.606231, Average Loss  0.602399, Time  0.231796
2021-09-15 05:51:04.958962 : Epoch  7, Batch    623, Loss  0.610450, Average Loss  0.602850, Time  0.241350
2021-09-15 05:51:06.408887 : Epoch  8, Batch    777, Loss  0.593234, Average Loss  0.602326, Time  0.233511
2021-09-15 05:51:06.498276 : Epoch  7, Batch    624, Loss  0.613935, Average Loss  0.602926, Time  0.240726
2021-09-15 05:51:07.957413 : Epoch  8, Batch    778, Loss  0.597742, Average Loss  0.602233, Time  0.231456
2021-09-15 05:51:08.019589 : Epoch  7, Batch    625, Loss  0.595867, Average Loss  0.602824, Time  0.238825
2021-09-15 05:51:09.519096 : Epoch  8, Batch    779, Loss  0.598701, Average Loss  0.602196, Time  0.231866
2021-09-15 05:51:09.597390 : Epoch  7, Batch    626, Loss  0.602217, Average Loss  0.602802, Time  0.239260
2021-09-15 05:51:11.069015 : Epoch  8, Batch    780, Loss  0.588677, Average Loss  0.602100, Time  0.235005
2021-09-15 05:51:11.124603 : Epoch  7, Batch    627, Loss  0.610251, Average Loss  0.602842, Time  0.239846
2021-09-15 05:51:12.612045 : Epoch  8, Batch    781, Loss  0.609865, Average Loss  0.602103, Time  0.231557
2021-09-15 05:51:12.674457 : Epoch  7, Batch    628, Loss  0.609506, Average Loss  0.602842, Time  0.239355
2021-09-15 05:51:14.165410 : Epoch  8, Batch    782, Loss  0.589484, Average Loss  0.602006, Time  0.231297
2021-09-15 05:51:14.200074 : Epoch  7, Batch    629, Loss  0.606813, Average Loss  0.602842, Time  0.237603
2021-09-15 05:51:15.709385 : Epoch  8, Batch    783, Loss  0.599824, Average Loss  0.601938, Time  0.231235
2021-09-15 05:51:15.751265 : Epoch  7, Batch    630, Loss  0.603542, Average Loss  0.602786, Time  0.236369
2021-09-15 05:51:17.266903 : Epoch  8, Batch    784, Loss  0.599649, Average Loss  0.601936, Time  0.230945
2021-09-15 05:51:17.301969 : Epoch  7, Batch    631, Loss  0.594509, Average Loss  0.602741, Time  0.237217
2021-09-15 05:51:18.818869 : Epoch  7, Batch    632, Loss  0.604686, Average Loss  0.602785, Time  0.236732
2021-09-15 05:51:18.847451 : Epoch  8, Batch    785, Loss  0.601213, Average Loss  0.601932, Time  0.231268
2021-09-15 05:51:20.337815 : Epoch  7, Batch    633, Loss  0.592356, Average Loss  0.602740, Time  0.236689
2021-09-15 05:51:20.398641 : Epoch  8, Batch    786, Loss  0.599045, Average Loss  0.601966, Time  0.231891
2021-09-15 05:51:21.880883 : Epoch  7, Batch    634, Loss  0.598875, Average Loss  0.602718, Time  0.239724
2021-09-15 05:51:21.953007 : Epoch  8, Batch    787, Loss  0.612243, Average Loss  0.601964, Time  0.231475
2021-09-15 05:51:21.987571 : Saving Model after 8-th Epoch.
2021-09-15 05:51:22.854622 : Epoch Finished.
2021-09-15 05:51:23.413901 : Epoch  7, Batch    635, Loss  0.614720, Average Loss  0.602787, Time  0.241495
2021-09-15 05:51:25.097206 : Epoch  7, Batch    636, Loss  0.607384, Average Loss  0.602783, Time  0.257841
2021-09-15 05:51:25.169602 : Batch Shuffled
2021-09-15 05:51:26.718399 : Epoch  9, Batch      1, Loss  0.596532, Average Loss  0.601988, Time  0.231253
2021-09-15 05:51:26.789027 : Epoch  7, Batch    637, Loss  0.611703, Average Loss  0.602807, Time  0.261217
2021-09-15 05:51:28.260364 : Epoch  9, Batch      2, Loss  0.599592, Average Loss  0.601938, Time  0.231300
2021-09-15 05:51:28.324197 : Epoch  7, Batch    638, Loss  0.602370, Average Loss  0.602743, Time  0.241319
2021-09-15 05:51:29.799996 : Epoch  9, Batch      3, Loss  0.587708, Average Loss  0.601845, Time  0.231487
2021-09-15 05:51:29.853421 : Epoch  7, Batch    639, Loss  0.622960, Average Loss  0.602872, Time  0.239464
2021-09-15 05:51:31.354301 : Epoch  9, Batch      4, Loss  0.596470, Average Loss  0.601808, Time  0.232304
2021-09-15 05:51:31.391466 : Epoch  7, Batch    640, Loss  0.596322, Average Loss  0.602848, Time  0.239385
2021-09-15 05:51:32.916416 : Epoch  7, Batch    641, Loss  0.600925, Average Loss  0.602848, Time  0.239907
2021-09-15 05:51:34.433342 : Epoch  7, Batch    642, Loss  0.591441, Average Loss  0.602775, Time  0.239441
2021-09-15 05:51:35.954951 : Epoch  7, Batch    643, Loss  0.606752, Average Loss  0.602758, Time  0.241033
2021-09-15 05:51:37.473335 : Epoch  7, Batch    644, Loss  0.600272, Average Loss  0.602726, Time  0.238810
2021-09-15 05:51:39.006137 : Epoch  7, Batch    645, Loss  0.589559, Average Loss  0.602666, Time  0.238783
2021-09-15 05:51:40.565481 : Epoch  7, Batch    646, Loss  0.607378, Average Loss  0.602730, Time  0.241070
2021-09-15 05:51:42.095067 : Epoch  7, Batch    647, Loss  0.599040, Average Loss  0.602754, Time  0.238333
2021-09-15 05:51:43.631158 : Epoch  7, Batch    648, Loss  0.595292, Average Loss  0.602748, Time  0.239316
2021-09-15 05:51:47.729799 : Epoch  7, Batch    649, Loss  0.600582, Average Loss  0.602723, Time  0.273079
2021-09-15 05:51:49.247494 : Epoch  7, Batch    650, Loss  0.595215, Average Loss  0.602712, Time  0.242701
2021-09-15 05:51:50.916974 : Epoch  7, Batch    651, Loss  0.606480, Average Loss  0.602620, Time  0.259475
2021-09-15 05:51:52.614122 : Epoch  7, Batch    652, Loss  0.585481, Average Loss  0.602569, Time  0.258625
2021-09-15 05:51:54.302829 : Epoch  7, Batch    653, Loss  0.596955, Average Loss  0.602556, Time  0.257625
2021-09-15 05:51:55.825108 : Epoch  7, Batch    654, Loss  0.596915, Average Loss  0.602494, Time  0.239149
2021-09-15 05:51:57.356890 : Epoch  7, Batch    655, Loss  0.603563, Average Loss  0.602447, Time  0.240797
2021-09-15 05:51:58.893992 : Epoch  7, Batch    656, Loss  0.612091, Average Loss  0.602459, Time  0.239218
2021-09-15 05:52:00.429092 : Epoch  7, Batch    657, Loss  0.608461, Average Loss  0.602478, Time  0.242140
2021-09-15 05:52:01.955379 : Epoch  7, Batch    658, Loss  0.604012, Average Loss  0.602537, Time  0.237905
2021-09-15 05:52:03.618785 : Epoch  7, Batch    659, Loss  0.605653, Average Loss  0.602517, Time  0.240287
2021-09-15 05:52:05.323405 : Epoch  7, Batch    660, Loss  0.588807, Average Loss  0.602402, Time  0.258986
2021-09-15 05:52:06.862261 : Epoch  7, Batch    661, Loss  0.609181, Average Loss  0.602427, Time  0.239319
2021-09-15 05:52:08.540411 : Epoch  7, Batch    662, Loss  0.606659, Average Loss  0.602432, Time  0.257392
2021-09-15 05:52:10.219863 : Epoch  7, Batch    663, Loss  0.602901, Average Loss  0.602479, Time  0.258417
2021-09-15 05:52:11.753428 : Epoch  7, Batch    664, Loss  0.613691, Average Loss  0.602576, Time  0.241679
2021-09-15 05:52:13.290782 : Epoch  7, Batch    665, Loss  0.596224, Average Loss  0.602551, Time  0.241130
2021-09-15 05:52:14.812331 : Epoch  7, Batch    666, Loss  0.607574, Average Loss  0.602547, Time  0.240229
2021-09-15 05:52:16.333362 : Epoch  7, Batch    667, Loss  0.598818, Average Loss  0.602492, Time  0.239690
2021-09-15 05:52:17.860351 : Epoch  7, Batch    668, Loss  0.594033, Average Loss  0.602405, Time  0.239834
2021-09-15 05:52:19.395366 : Epoch  7, Batch    669, Loss  0.613908, Average Loss  0.602469, Time  0.239751
2021-09-15 05:52:20.925849 : Epoch  7, Batch    670, Loss  0.617779, Average Loss  0.602518, Time  0.239611
2021-09-15 05:52:22.443338 : Epoch  7, Batch    671, Loss  0.598808, Average Loss  0.602536, Time  0.238227
2021-09-15 05:52:23.964050 : Epoch  7, Batch    672, Loss  0.592319, Average Loss  0.602534, Time  0.238192
2021-09-15 05:52:25.489397 : Epoch  7, Batch    673, Loss  0.603550, Average Loss  0.602586, Time  0.240566
2021-09-15 05:52:27.011978 : Epoch  7, Batch    674, Loss  0.596351, Average Loss  0.602542, Time  0.240066
2021-09-15 05:52:28.543387 : Epoch  7, Batch    675, Loss  0.602562, Average Loss  0.602547, Time  0.241943
2021-09-15 05:52:29.398746 : CheckPoint: Validation Loss  0.00024738, Best Loss  0.00024504
2021-09-15 05:52:30.077000 : Epoch  7, Batch    676, Loss  0.598996, Average Loss  0.602545, Time  0.238663
2021-09-15 05:52:30.987820 : Epoch  9, Batch      5, Loss  0.595035, Average Loss  0.601795, Time  0.256490
2021-09-15 05:52:31.604805 : Epoch  7, Batch    677, Loss  0.604630, Average Loss  0.602543, Time  0.241415
2021-09-15 05:52:32.546506 : Epoch  9, Batch      6, Loss  0.597259, Average Loss  0.601804, Time  0.236771
2021-09-15 05:52:33.132365 : Epoch  7, Batch    678, Loss  0.611134, Average Loss  0.602557, Time  0.238683
2021-09-15 05:52:34.101801 : Epoch  9, Batch      7, Loss  0.608429, Average Loss  0.601809, Time  0.231030
2021-09-15 05:52:35.662211 : Epoch  9, Batch      8, Loss  0.612243, Average Loss  0.601884, Time  0.231022
2021-09-15 05:52:37.217797 : Epoch  9, Batch      9, Loss  0.605765, Average Loss  0.601893, Time  0.231465
2021-09-15 05:52:38.773376 : Epoch  9, Batch     10, Loss  0.605564, Average Loss  0.601957, Time  0.231761
2021-09-15 05:52:40.332108 : Epoch  9, Batch     11, Loss  0.590871, Average Loss  0.601931, Time  0.231469
2021-09-15 05:52:41.885331 : Epoch  9, Batch     12, Loss  0.595165, Average Loss  0.601877, Time  0.231402
2021-09-15 05:52:43.436060 : Epoch  9, Batch     13, Loss  0.596982, Average Loss  0.601817, Time  0.231374
2021-09-15 05:52:44.989388 : Epoch  9, Batch     14, Loss  0.590531, Average Loss  0.601822, Time  0.231487
2021-09-15 05:52:46.536375 : Epoch  9, Batch     15, Loss  0.602053, Average Loss  0.601779, Time  0.232111
2021-09-15 05:52:48.091052 : Epoch  9, Batch     16, Loss  0.601732, Average Loss  0.601737, Time  0.231354
2021-09-15 05:52:49.649940 : Epoch  9, Batch     17, Loss  0.616058, Average Loss  0.601786, Time  0.231576
2021-09-15 05:52:51.204339 : Epoch  9, Batch     18, Loss  0.597998, Average Loss  0.601815, Time  0.231800
2021-09-15 05:52:52.762569 : Epoch  9, Batch     19, Loss  0.608040, Average Loss  0.601834, Time  0.233634
2021-09-15 05:52:54.315841 : Epoch  9, Batch     20, Loss  0.603914, Average Loss  0.601829, Time  0.231431
2021-09-15 05:52:55.869280 : Epoch  9, Batch     21, Loss  0.606224, Average Loss  0.601825, Time  0.231170
2021-09-15 05:52:57.427391 : Epoch  9, Batch     22, Loss  0.594639, Average Loss  0.601753, Time  0.231454
2021-09-15 05:52:58.982152 : Epoch  9, Batch     23, Loss  0.587839, Average Loss  0.601698, Time  0.232652
2021-09-15 05:53:00.543270 : Epoch  9, Batch     24, Loss  0.611807, Average Loss  0.601716, Time  0.231579
2021-09-15 05:53:02.097387 : Epoch  9, Batch     25, Loss  0.605271, Average Loss  0.601693, Time  0.230932
2021-09-15 05:53:03.653115 : Epoch  9, Batch     26, Loss  0.612819, Average Loss  0.601746, Time  0.231281
2021-09-15 05:53:05.207757 : Epoch  9, Batch     27, Loss  0.604728, Average Loss  0.601759, Time  0.232199
2021-09-15 05:53:06.757245 : Epoch  9, Batch     28, Loss  0.594322, Average Loss  0.601726, Time  0.231397
2021-09-15 05:53:08.317972 : Epoch  9, Batch     29, Loss  0.598515, Average Loss  0.601705, Time  0.231916
2021-09-15 05:53:09.873146 : Epoch  9, Batch     30, Loss  0.605496, Average Loss  0.601709, Time  0.231502
2021-09-15 05:53:11.446265 : Epoch  9, Batch     31, Loss  0.600692, Average Loss  0.601708, Time  0.231538
2021-09-15 05:53:12.997286 : Epoch  9, Batch     32, Loss  0.597517, Average Loss  0.601700, Time  0.231375
2021-09-15 05:53:14.557991 : Epoch  9, Batch     33, Loss  0.610467, Average Loss  0.601745, Time  0.231516
2021-09-15 05:53:16.107830 : Epoch  9, Batch     34, Loss  0.604456, Average Loss  0.601699, Time  0.231884
2021-09-15 05:53:17.668437 : Epoch  9, Batch     35, Loss  0.607259, Average Loss  0.601756, Time  0.232030
2021-09-15 05:53:19.226532 : Epoch  9, Batch     36, Loss  0.604551, Average Loss  0.601780, Time  0.231508
2021-09-15 05:53:20.782859 : Epoch  9, Batch     37, Loss  0.607317, Average Loss  0.601821, Time  0.233562
2021-09-15 05:53:22.358708 : Epoch  9, Batch     38, Loss  0.607779, Average Loss  0.601837, Time  0.231857
2021-09-15 05:53:23.911177 : Epoch  9, Batch     39, Loss  0.597454, Average Loss  0.601762, Time  0.232648
2021-09-15 05:53:25.463647 : Epoch  9, Batch     40, Loss  0.591464, Average Loss  0.601766, Time  0.231159
2021-09-15 05:53:27.015077 : Epoch  9, Batch     41, Loss  0.605826, Average Loss  0.601773, Time  0.231855
2021-09-15 05:53:28.566240 : Epoch  9, Batch     42, Loss  0.607743, Average Loss  0.601811, Time  0.231474
2021-09-15 05:53:29.972068 : CheckPoint: Validation Loss  0.00025352, Best Loss  0.00024341
2021-09-15 05:53:30.124197 : Epoch  9, Batch     43, Loss  0.605304, Average Loss  0.601882, Time  0.232314
2021-09-15 05:53:31.501894 : Epoch  7, Batch    679, Loss  0.592128, Average Loss  0.602493, Time  0.239761
2021-09-15 05:53:31.669818 : Epoch  9, Batch     44, Loss  0.601303, Average Loss  0.601889, Time  0.231708
2021-09-15 05:53:33.020255 : Epoch  7, Batch    680, Loss  0.589421, Average Loss  0.602438, Time  0.240247
2021-09-15 05:53:33.231988 : Epoch  9, Batch     45, Loss  0.588767, Average Loss  0.601877, Time  0.231367
2021-09-15 05:53:34.553927 : Epoch  7, Batch    681, Loss  0.602951, Average Loss  0.602457, Time  0.237607
2021-09-15 05:53:34.783570 : Epoch  9, Batch     46, Loss  0.613935, Average Loss  0.601945, Time  0.234893
2021-09-15 05:53:36.081029 : Epoch  7, Batch    682, Loss  0.601024, Average Loss  0.602460, Time  0.241933
2021-09-15 05:53:36.328332 : Epoch  9, Batch     47, Loss  0.598017, Average Loss  0.601880, Time  0.231578
2021-09-15 05:53:37.660029 : Epoch  7, Batch    683, Loss  0.585108, Average Loss  0.602408, Time  0.239607
2021-09-15 05:53:37.874340 : Epoch  9, Batch     48, Loss  0.600863, Average Loss  0.601875, Time  0.232038
2021-09-15 05:53:39.174067 : Epoch  7, Batch    684, Loss  0.602930, Average Loss  0.602376, Time  0.238031
2021-09-15 05:53:39.424390 : Epoch  9, Batch     49, Loss  0.600740, Average Loss  0.601956, Time  0.231873
2021-09-15 05:53:40.693127 : Epoch  7, Batch    685, Loss  0.610573, Average Loss  0.602398, Time  0.239069
2021-09-15 05:53:40.969186 : Epoch  9, Batch     50, Loss  0.614172, Average Loss  0.602088, Time  0.231572
2021-09-15 05:53:42.217802 : Epoch  7, Batch    686, Loss  0.612498, Average Loss  0.602428, Time  0.238259
2021-09-15 05:53:42.518631 : Epoch  9, Batch     51, Loss  0.601531, Average Loss  0.602093, Time  0.231425
2021-09-15 05:53:43.755876 : Epoch  7, Batch    687, Loss  0.602288, Average Loss  0.602501, Time  0.241540
2021-09-15 05:53:44.072367 : Epoch  9, Batch     52, Loss  0.614206, Average Loss  0.602158, Time  0.232479
2021-09-15 05:53:45.273831 : Epoch  7, Batch    688, Loss  0.602966, Average Loss  0.602560, Time  0.238914
2021-09-15 05:53:45.623652 : Epoch  9, Batch     53, Loss  0.602107, Average Loss  0.602180, Time  0.231302
2021-09-15 05:53:46.816958 : Epoch  7, Batch    689, Loss  0.611785, Average Loss  0.602619, Time  0.257153
2021-09-15 05:53:47.173369 : Epoch  9, Batch     54, Loss  0.607795, Average Loss  0.602235, Time  0.232140
2021-09-15 05:53:48.345319 : Epoch  7, Batch    690, Loss  0.600278, Average Loss  0.602675, Time  0.239514
2021-09-15 05:53:48.732146 : Epoch  9, Batch     55, Loss  0.603517, Average Loss  0.602266, Time  0.231402
2021-09-15 05:53:49.878031 : Epoch  7, Batch    691, Loss  0.593625, Average Loss  0.602598, Time  0.238911
2021-09-15 05:53:50.280434 : Epoch  9, Batch     56, Loss  0.601631, Average Loss  0.602261, Time  0.231214
2021-09-15 05:53:51.396782 : Epoch  7, Batch    692, Loss  0.607132, Average Loss  0.602607, Time  0.240378
2021-09-15 05:53:51.842060 : Epoch  9, Batch     57, Loss  0.602331, Average Loss  0.602169, Time  0.231668
2021-09-15 05:53:52.918811 : Epoch  7, Batch    693, Loss  0.596654, Average Loss  0.602619, Time  0.239626
2021-09-15 05:53:53.395470 : Epoch  9, Batch     58, Loss  0.614539, Average Loss  0.602246, Time  0.231224
2021-09-15 05:53:54.449867 : Epoch  7, Batch    694, Loss  0.598558, Average Loss  0.602610, Time  0.240343
2021-09-15 05:53:54.959348 : Epoch  9, Batch     59, Loss  0.591325, Average Loss  0.602141, Time  0.230706
2021-09-15 05:53:55.977321 : Epoch  7, Batch    695, Loss  0.607335, Average Loss  0.602645, Time  0.242794
2021-09-15 05:53:56.509838 : Epoch  9, Batch     60, Loss  0.603999, Average Loss  0.602133, Time  0.231400
2021-09-15 05:53:57.498132 : Epoch  7, Batch    696, Loss  0.591977, Average Loss  0.602505, Time  0.239535
2021-09-15 05:53:58.072410 : Epoch  9, Batch     61, Loss  0.606156, Average Loss  0.602151, Time  0.231603
2021-09-15 05:53:59.022326 : Epoch  7, Batch    697, Loss  0.596462, Average Loss  0.602498, Time  0.240695
2021-09-15 05:53:59.631878 : Epoch  9, Batch     62, Loss  0.602779, Average Loss  0.602161, Time  0.231719
2021-09-15 05:54:00.537121 : Epoch  7, Batch    698, Loss  0.597001, Average Loss  0.602468, Time  0.238199
2021-09-15 05:54:01.191933 : Epoch  9, Batch     63, Loss  0.609060, Average Loss  0.602241, Time  0.231410
2021-09-15 05:54:02.073061 : Epoch  7, Batch    699, Loss  0.600262, Average Loss  0.602404, Time  0.241523
2021-09-15 05:54:02.748261 : Epoch  9, Batch     64, Loss  0.603072, Average Loss  0.602298, Time  0.231799
2021-09-15 05:54:03.607908 : Epoch  7, Batch    700, Loss  0.609948, Average Loss  0.602446, Time  0.240679
2021-09-15 05:54:04.305397 : Epoch  9, Batch     65, Loss  0.613355, Average Loss  0.602379, Time  0.231739
2021-09-15 05:54:05.128367 : Epoch  7, Batch    701, Loss  0.604261, Average Loss  0.602477, Time  0.240349
2021-09-15 05:54:05.858858 : Epoch  9, Batch     66, Loss  0.601296, Average Loss  0.602406, Time  0.232100
2021-09-15 05:54:06.650950 : Epoch  7, Batch    702, Loss  0.596157, Average Loss  0.602445, Time  0.240031
2021-09-15 05:54:07.413246 : Epoch  9, Batch     67, Loss  0.602895, Average Loss  0.602423, Time  0.232121
2021-09-15 05:54:08.173475 : Epoch  7, Batch    703, Loss  0.600129, Average Loss  0.602473, Time  0.240290
2021-09-15 05:54:08.966089 : Epoch  9, Batch     68, Loss  0.596767, Average Loss  0.602344, Time  0.231398
2021-09-15 05:54:09.717830 : Epoch  7, Batch    704, Loss  0.599425, Average Loss  0.602458, Time  0.239716
2021-09-15 05:54:10.522884 : Epoch  9, Batch     69, Loss  0.598224, Average Loss  0.602374, Time  0.232054
2021-09-15 05:54:11.244876 : Epoch  7, Batch    705, Loss  0.612184, Average Loss  0.602535, Time  0.238445
2021-09-15 05:54:12.078863 : Epoch  9, Batch     70, Loss  0.607849, Average Loss  0.602363, Time  0.231364
2021-09-15 05:54:12.897300 : Epoch  7, Batch    706, Loss  0.594757, Average Loss  0.602555, Time  0.238866
2021-09-15 05:54:13.650582 : Epoch  9, Batch     71, Loss  0.599135, Average Loss  0.602288, Time  0.232811
2021-09-15 05:54:14.432084 : Epoch  7, Batch    707, Loss  0.591872, Average Loss  0.602513, Time  0.241318
2021-09-15 05:54:15.210362 : Epoch  9, Batch     72, Loss  0.599866, Average Loss  0.602207, Time  0.231276
2021-09-15 05:54:15.957560 : Epoch  7, Batch    708, Loss  0.602072, Average Loss  0.602509, Time  0.239484
2021-09-15 05:54:16.759996 : Epoch  9, Batch     73, Loss  0.600188, Average Loss  0.602203, Time  0.232006
2021-09-15 05:54:17.633379 : Epoch  7, Batch    709, Loss  0.602294, Average Loss  0.602488, Time  0.257116
2021-09-15 05:54:18.313393 : Epoch  9, Batch     74, Loss  0.598713, Average Loss  0.602188, Time  0.231815
2021-09-15 05:54:19.309685 : Epoch  7, Batch    710, Loss  0.604349, Average Loss  0.602496, Time  0.257701
2021-09-15 05:54:20.978996 : Epoch  7, Batch    711, Loss  0.595911, Average Loss  0.602447, Time  0.257855
2021-09-15 05:54:22.213409 : Epoch  9, Batch     75, Loss  0.590312, Average Loss  0.602206, Time  0.250796
2021-09-15 05:54:22.651698 : Epoch  7, Batch    712, Loss  0.604339, Average Loss  0.602484, Time  0.257270
2021-09-15 05:54:23.753880 : Epoch  9, Batch     76, Loss  0.610073, Average Loss  0.602238, Time  0.231242
2021-09-15 05:54:24.177644 : Epoch  7, Batch    713, Loss  0.598140, Average Loss  0.602477, Time  0.242319
2021-09-15 05:54:25.305635 : Epoch  9, Batch     77, Loss  0.598082, Average Loss  0.602245, Time  0.231601
2021-09-15 05:54:25.711903 : Epoch  7, Batch    714, Loss  0.594876, Average Loss  0.602494, Time  0.241902
2021-09-15 05:54:26.846871 : Epoch  9, Batch     78, Loss  0.609708, Average Loss  0.602232, Time  0.231459
2021-09-15 05:54:27.231436 : Epoch  7, Batch    715, Loss  0.598634, Average Loss  0.602477, Time  0.239077
2021-09-15 05:54:28.391045 : Epoch  9, Batch     79, Loss  0.598649, Average Loss  0.602232, Time  0.231188
2021-09-15 05:54:28.736787 : Epoch  7, Batch    716, Loss  0.597149, Average Loss  0.602461, Time  0.238373
2021-09-15 05:54:29.933693 : Epoch  9, Batch     80, Loss  0.598883, Average Loss  0.602200, Time  0.231517
2021-09-15 05:54:30.261979 : Epoch  7, Batch    717, Loss  0.607856, Average Loss  0.602420, Time  0.241754
2021-09-15 05:54:31.472288 : Epoch  9, Batch     81, Loss  0.613812, Average Loss  0.602296, Time  0.231495
2021-09-15 05:54:31.793199 : Epoch  7, Batch    718, Loss  0.604643, Average Loss  0.602408, Time  0.240422
2021-09-15 05:54:32.982671 : CheckPoint: Validation Loss  0.00029571, Best Loss  0.00029571
2021-09-15 05:54:33.010331 : Best Model Updated
2021-09-15 05:54:33.014929 : Epoch  9, Batch     82, Loss  0.598202, Average Loss  0.602239, Time  0.231475
2021-09-15 05:54:33.305758 : Epoch  7, Batch    719, Loss  0.596623, Average Loss  0.602306, Time  0.240333
2021-09-15 05:54:34.599922 : Epoch  9, Batch     83, Loss  0.595331, Average Loss  0.602263, Time  0.231446
2021-09-15 05:54:34.833342 : Epoch  7, Batch    720, Loss  0.612086, Average Loss  0.602301, Time  0.240777
2021-09-15 05:54:36.146885 : Epoch  9, Batch     84, Loss  0.604546, Average Loss  0.602250, Time  0.231071
2021-09-15 05:54:36.346398 : Epoch  7, Batch    721, Loss  0.603122, Average Loss  0.602285, Time  0.240418
2021-09-15 05:54:36.914228 : Epoch  2, Batch    445, Loss  0.869496, Average Loss  0.870466, Time  0.267418
2021-09-15 05:54:37.694580 : Epoch  9, Batch     85, Loss  0.602491, Average Loss  0.602272, Time  0.231196
2021-09-15 05:54:37.874387 : Epoch  7, Batch    722, Loss  0.606869, Average Loss  0.602339, Time  0.240720
2021-09-15 05:54:39.237370 : Epoch  9, Batch     86, Loss  0.618436, Average Loss  0.602283, Time  0.231871
2021-09-15 05:54:39.390450 : Epoch  7, Batch    723, Loss  0.612798, Average Loss  0.602398, Time  0.241453
2021-09-15 05:54:39.985726 : Epoch  2, Batch    446, Loss  0.875391, Average Loss  0.870480, Time  0.266140
2021-09-15 05:54:40.786022 : Epoch  9, Batch     87, Loss  0.596620, Average Loss  0.602259, Time  0.231969
2021-09-15 05:54:40.913368 : Epoch  7, Batch    724, Loss  0.606146, Average Loss  0.602491, Time  0.240456
2021-09-15 05:54:42.351401 : Epoch  9, Batch     88, Loss  0.594202, Average Loss  0.602192, Time  0.234666
2021-09-15 05:54:42.428713 : Epoch  7, Batch    725, Loss  0.600675, Average Loss  0.602420, Time  0.239493
2021-09-15 05:54:43.003835 : Epoch  2, Batch    447, Loss  0.832559, Average Loss  0.870314, Time  0.265548
2021-09-15 05:54:43.898979 : Epoch  9, Batch     89, Loss  0.602403, Average Loss  0.602174, Time  0.233117
2021-09-15 05:54:43.957065 : Epoch  7, Batch    726, Loss  0.616469, Average Loss  0.602494, Time  0.239847
2021-09-15 05:54:45.457426 : Epoch  9, Batch     90, Loss  0.602412, Average Loss  0.602207, Time  0.233910
2021-09-15 05:54:45.504791 : Epoch  7, Batch    727, Loss  0.600968, Average Loss  0.602465, Time  0.239164
2021-09-15 05:54:46.063785 : Epoch  2, Batch    448, Loss  0.851132, Average Loss  0.870232, Time  0.264400
2021-09-15 05:54:47.017019 : Epoch  9, Batch     91, Loss  0.610591, Average Loss  0.602227, Time  0.232375
2021-09-15 05:54:47.054441 : Epoch  7, Batch    728, Loss  0.599607, Average Loss  0.602444, Time  0.238185
2021-09-15 05:54:48.567611 : Epoch  9, Batch     92, Loss  0.601763, Average Loss  0.602189, Time  0.232981
2021-09-15 05:54:48.605941 : Epoch  7, Batch    729, Loss  0.606837, Average Loss  0.602509, Time  0.239966
2021-09-15 05:54:49.082577 : Epoch  2, Batch    449, Loss  0.893619, Average Loss  0.870309, Time  0.265817
2021-09-15 05:54:50.116373 : Epoch  9, Batch     93, Loss  0.603305, Average Loss  0.602183, Time  0.231234
2021-09-15 05:54:50.151432 : Epoch  7, Batch    730, Loss  0.602223, Average Loss  0.602491, Time  0.240462
2021-09-15 05:54:51.668577 : Epoch  9, Batch     94, Loss  0.616249, Average Loss  0.602272, Time  0.231260
2021-09-15 05:54:51.708484 : Epoch  7, Batch    731, Loss  0.605269, Average Loss  0.602582, Time  0.241347
2021-09-15 05:54:52.106673 : Epoch  2, Batch    450, Loss  0.872697, Average Loss  0.870263, Time  0.265263
2021-09-15 05:54:53.228097 : Epoch  9, Batch     95, Loss  0.594089, Average Loss  0.602212, Time  0.231668
2021-09-15 05:54:53.267869 : Epoch  7, Batch    732, Loss  0.613746, Average Loss  0.602611, Time  0.238926
2021-09-15 05:54:54.777605 : Epoch  9, Batch     96, Loss  0.605005, Average Loss  0.602248, Time  0.231677
2021-09-15 05:54:54.809895 : Epoch  7, Batch    733, Loss  0.610769, Average Loss  0.602605, Time  0.240577
2021-09-15 05:54:55.134082 : Epoch  2, Batch    451, Loss  0.865188, Average Loss  0.870251, Time  0.265432
2021-09-15 05:54:56.330586 : Epoch  9, Batch     97, Loss  0.596987, Average Loss  0.602230, Time  0.232026
2021-09-15 05:54:56.361408 : Epoch  7, Batch    734, Loss  0.611828, Average Loss  0.602634, Time  0.240316
2021-09-15 05:54:57.875186 : Epoch  9, Batch     98, Loss  0.597922, Average Loss  0.602276, Time  0.231350
2021-09-15 05:54:57.912427 : Epoch  7, Batch    735, Loss  0.596974, Average Loss  0.602603, Time  0.240088
2021-09-15 05:54:58.145463 : Epoch  2, Batch    452, Loss  0.881927, Average Loss  0.870262, Time  0.265318
2021-09-15 05:54:59.433901 : Epoch  9, Batch     99, Loss  0.594860, Average Loss  0.602236, Time  0.231796
2021-09-15 05:54:59.475142 : Epoch  7, Batch    736, Loss  0.608891, Average Loss  0.602590, Time  0.240558
2021-09-15 05:55:00.987362 : Epoch  9, Batch    100, Loss  0.605277, Average Loss  0.602299, Time  0.230938
2021-09-15 05:55:01.140853 : Epoch  7, Batch    737, Loss  0.598953, Average Loss  0.602624, Time  0.258038
2021-09-15 05:55:01.182286 : Epoch  2, Batch    453, Loss  0.865015, Average Loss  0.870115, Time  0.265159
2021-09-15 05:55:02.544401 : Epoch  9, Batch    101, Loss  0.588605, Average Loss  0.602221, Time  0.232291
2021-09-15 05:55:02.812910 : Epoch  7, Batch    738, Loss  0.608083, Average Loss  0.602669, Time  0.259463
2021-09-15 05:55:04.108405 : Epoch  9, Batch    102, Loss  0.610293, Average Loss  0.602253, Time  0.232152
2021-09-15 05:55:04.229776 : Epoch  2, Batch    454, Loss  0.844380, Average Loss  0.869956, Time  0.266554
2021-09-15 05:55:04.508199 : Epoch  7, Batch    739, Loss  0.596032, Average Loss  0.602640, Time  0.262656
2021-09-15 05:55:05.679289 : Epoch  9, Batch    103, Loss  0.607055, Average Loss  0.602280, Time  0.233073
2021-09-15 05:55:06.168809 : Epoch  7, Batch    740, Loss  0.605210, Average Loss  0.602702, Time  0.258602
2021-09-15 05:55:07.231387 : Epoch  9, Batch    104, Loss  0.605251, Average Loss  0.602328, Time  0.232048
2021-09-15 05:55:07.240385 : Epoch  2, Batch    455, Loss  0.891280, Average Loss  0.870011, Time  0.264802
2021-09-15 05:55:07.844880 : Epoch  7, Batch    741, Loss  0.612004, Average Loss  0.602829, Time  0.259866
2021-09-15 05:55:09.522361 : Epoch  7, Batch    742, Loss  0.608537, Average Loss  0.602847, Time  0.258105
2021-09-15 05:55:10.282725 : Epoch  2, Batch    456, Loss  0.864601, Average Loss  0.870047, Time  0.264633
2021-09-15 05:55:11.215855 : Epoch  7, Batch    743, Loss  0.595535, Average Loss  0.602847, Time  0.263218
2021-09-15 05:55:12.908490 : Epoch  7, Batch    744, Loss  0.599821, Average Loss  0.602851, Time  0.260967
2021-09-15 05:55:13.308061 : Epoch  2, Batch    457, Loss  0.880234, Average Loss  0.870069, Time  0.273078
2021-09-15 05:55:14.589021 : Epoch  7, Batch    745, Loss  0.603084, Average Loss  0.602850, Time  0.258608
2021-09-15 05:55:16.125344 : Epoch  7, Batch    746, Loss  0.603785, Average Loss  0.602927, Time  0.239227
2021-09-15 05:55:16.326510 : Epoch  2, Batch    458, Loss  0.872557, Average Loss  0.870052, Time  0.265450
2021-09-15 05:55:17.654430 : Epoch  7, Batch    747, Loss  0.610225, Average Loss  0.602947, Time  0.238397
2021-09-15 05:55:19.182545 : Epoch  7, Batch    748, Loss  0.604487, Average Loss  0.603028, Time  0.239432
2021-09-15 05:55:19.371124 : Epoch  2, Batch    459, Loss  0.874282, Average Loss  0.870137, Time  0.265677
2021-09-15 05:55:22.395952 : Epoch  2, Batch    460, Loss  0.868599, Average Loss  0.870110, Time  0.264922
2021-09-15 05:55:23.208450 : Epoch  7, Batch    749, Loss  0.603090, Average Loss  0.603015, Time  0.285781
2021-09-15 05:55:24.751122 : Epoch  7, Batch    750, Loss  0.599992, Average Loss  0.602994, Time  0.246780
2021-09-15 05:55:25.421149 : Epoch  2, Batch    461, Loss  0.863517, Average Loss  0.870084, Time  0.264318
2021-09-15 05:55:26.433544 : Epoch  7, Batch    751, Loss  0.615477, Average Loss  0.603017, Time  0.259771
2021-09-15 05:55:27.984829 : Epoch  7, Batch    752, Loss  0.602700, Average Loss  0.602957, Time  0.238493
2021-09-15 05:55:28.451310 : Epoch  2, Batch    462, Loss  0.864588, Average Loss  0.870029, Time  0.265807
2021-09-15 05:55:29.508225 : Epoch  7, Batch    753, Loss  0.610998, Average Loss  0.603006, Time  0.238354
2021-09-15 05:55:31.028386 : Epoch  7, Batch    754, Loss  0.595755, Average Loss  0.602937, Time  0.241367
2021-09-15 05:55:31.492466 : Epoch  2, Batch    463, Loss  0.860578, Average Loss  0.869900, Time  0.265266
2021-09-15 05:55:32.575057 : Epoch  7, Batch    755, Loss  0.601847, Average Loss  0.602926, Time  0.241411
2021-09-15 05:55:34.098826 : Epoch  7, Batch    756, Loss  0.591602, Average Loss  0.602881, Time  0.240189
2021-09-15 05:55:34.504730 : Epoch  2, Batch    464, Loss  0.881921, Average Loss  0.869869, Time  0.265367
2021-09-15 05:55:35.769430 : Epoch  7, Batch    757, Loss  0.599508, Average Loss  0.602796, Time  0.257538
2021-09-15 05:55:37.454977 : Epoch  7, Batch    758, Loss  0.604497, Average Loss  0.602801, Time  0.259502
2021-09-15 05:55:37.513258 : Epoch  2, Batch    465, Loss  0.887353, Average Loss  0.869994, Time  0.264852
2021-09-15 05:55:39.141624 : Epoch  7, Batch    759, Loss  0.601336, Average Loss  0.602744, Time  0.258121
2021-09-15 05:55:40.532695 : Epoch  2, Batch    466, Loss  0.863325, Average Loss  0.869913, Time  0.264731
2021-09-15 05:55:40.661372 : Epoch  7, Batch    760, Loss  0.606202, Average Loss  0.602810, Time  0.238738
2021-09-15 05:55:42.326643 : Epoch  7, Batch    761, Loss  0.609570, Average Loss  0.602823, Time  0.257330
2021-09-15 05:55:43.544851 : Epoch  2, Batch    467, Loss  0.873530, Average Loss  0.869988, Time  0.264717
2021-09-15 05:55:44.020525 : Epoch  7, Batch    762, Loss  0.598806, Average Loss  0.602833, Time  0.259402
2021-09-15 05:55:45.545086 : Epoch  7, Batch    763, Loss  0.605075, Average Loss  0.602833, Time  0.241039
2021-09-15 05:55:46.574600 : Epoch  2, Batch    468, Loss  0.874441, Average Loss  0.869916, Time  0.266939
2021-09-15 05:55:47.067400 : Epoch  7, Batch    764, Loss  0.602787, Average Loss  0.602839, Time  0.237924
2021-09-15 05:55:48.580818 : Epoch  7, Batch    765, Loss  0.606583, Average Loss  0.602871, Time  0.238888
2021-09-15 05:55:49.593441 : Epoch  2, Batch    469, Loss  0.871273, Average Loss  0.869955, Time  0.264360
2021-09-15 05:55:50.106007 : Epoch  7, Batch    766, Loss  0.595282, Average Loss  0.602885, Time  0.238430
2021-09-15 05:55:51.631874 : Epoch  7, Batch    767, Loss  0.597613, Average Loss  0.602787, Time  0.240238
2021-09-15 05:55:52.608271 : Epoch  2, Batch    470, Loss  0.864597, Average Loss  0.869907, Time  0.266289
2021-09-15 05:55:53.146856 : Epoch  7, Batch    768, Loss  0.604209, Average Loss  0.602773, Time  0.237492
2021-09-15 05:55:54.681503 : Epoch  7, Batch    769, Loss  0.611539, Average Loss  0.602787, Time  0.238888
2021-09-15 05:55:55.659126 : Epoch  2, Batch    471, Loss  0.861184, Average Loss  0.869868, Time  0.265857
2021-09-15 05:55:56.369419 : Epoch  7, Batch    770, Loss  0.595756, Average Loss  0.602740, Time  0.259387
2021-09-15 05:55:58.055004 : Epoch  7, Batch    771, Loss  0.596519, Average Loss  0.602651, Time  0.261512
2021-09-15 05:55:58.696901 : Epoch  2, Batch    472, Loss  0.866660, Average Loss  0.869811, Time  0.276657
2021-09-15 05:55:59.739778 : Epoch  7, Batch    772, Loss  0.609500, Average Loss  0.602634, Time  0.261152
2021-09-15 05:56:01.419036 : Epoch  7, Batch    773, Loss  0.609967, Average Loss  0.602673, Time  0.259556
2021-09-15 05:56:01.726232 : Epoch  2, Batch    473, Loss  0.847719, Average Loss  0.869668, Time  0.266517
2021-09-15 05:56:03.033496 : Epoch  7, Batch    774, Loss  0.606644, Average Loss  0.602693, Time  0.258694
2021-09-15 05:56:04.710758 : Epoch  7, Batch    775, Loss  0.592239, Average Loss  0.602691, Time  0.257414
2021-09-15 05:56:04.768047 : Epoch  2, Batch    474, Loss  0.870731, Average Loss  0.869738, Time  0.265593
2021-09-15 05:56:05.496595 : CheckPoint: Validation Loss  0.00024467, Best Loss  0.00024467
2021-09-15 05:56:05.527574 : Best Model Updated
2021-09-15 05:56:06.245111 : Epoch  7, Batch    776, Loss  0.597265, Average Loss  0.602673, Time  0.237669
2021-09-15 05:56:07.796455 : Epoch  2, Batch    475, Loss  0.859879, Average Loss  0.869641, Time  0.265039
2021-09-15 05:56:07.937384 : Epoch  9, Batch    105, Loss  0.589809, Average Loss  0.602250, Time  0.246004
2021-09-15 05:56:07.962986 : Epoch  7, Batch    777, Loss  0.597780, Average Loss  0.602657, Time  0.257964
2021-09-15 05:56:09.479266 : Epoch  9, Batch    106, Loss  0.607710, Average Loss  0.602263, Time  0.233487
2021-09-15 05:56:09.633789 : Epoch  7, Batch    778, Loss  0.604481, Average Loss  0.602613, Time  0.258663
2021-09-15 05:56:10.816129 : Epoch  2, Batch    476, Loss  0.863928, Average Loss  0.869676, Time  0.263919
2021-09-15 05:56:11.026057 : Epoch  9, Batch    107, Loss  0.606383, Average Loss  0.602236, Time  0.231614
2021-09-15 05:56:12.581854 : Epoch  9, Batch    108, Loss  0.598257, Average Loss  0.602226, Time  0.232840
2021-09-15 05:56:13.869701 : Epoch  2, Batch    477, Loss  0.903217, Average Loss  0.869908, Time  0.265100
2021-09-15 05:56:14.125630 : Epoch  9, Batch    109, Loss  0.608517, Average Loss  0.602222, Time  0.230892
2021-09-15 05:56:15.654197 : Epoch  9, Batch    110, Loss  0.606385, Average Loss  0.602259, Time  0.231802
2021-09-15 05:56:16.941623 : Epoch  2, Batch    478, Loss  0.872152, Average Loss  0.870079, Time  0.265840
2021-09-15 05:56:17.193205 : Epoch  9, Batch    111, Loss  0.607965, Average Loss  0.602264, Time  0.231387
2021-09-15 05:56:18.737407 : Epoch  9, Batch    112, Loss  0.590086, Average Loss  0.602203, Time  0.231299
2021-09-15 05:56:19.994755 : Epoch  2, Batch    479, Loss  0.863015, Average Loss  0.869892, Time  0.264852
2021-09-15 05:56:20.283345 : Epoch  9, Batch    113, Loss  0.596621, Average Loss  0.602082, Time  0.230977
2021-09-15 05:56:21.816450 : Epoch  9, Batch    114, Loss  0.603332, Average Loss  0.602071, Time  0.232290
2021-09-15 05:56:22.999043 : Epoch  2, Batch    480, Loss  0.867130, Average Loss  0.869885, Time  0.264561
2021-09-15 05:56:23.345110 : Epoch  9, Batch    115, Loss  0.603055, Average Loss  0.602096, Time  0.231830
2021-09-15 05:56:24.884880 : Epoch  9, Batch    116, Loss  0.621526, Average Loss  0.602155, Time  0.231426
2021-09-15 05:56:26.023662 : Epoch  2, Batch    481, Loss  0.863042, Average Loss  0.869916, Time  0.264313
2021-09-15 05:56:26.427086 : Epoch  9, Batch    117, Loss  0.604023, Average Loss  0.602108, Time  0.232118
2021-09-15 05:56:27.969884 : Epoch  9, Batch    118, Loss  0.611900, Average Loss  0.602176, Time  0.232466
2021-09-15 05:56:29.040987 : Epoch  2, Batch    482, Loss  0.860949, Average Loss  0.869900, Time  0.264716
2021-09-15 05:56:29.507039 : Epoch  9, Batch    119, Loss  0.608595, Average Loss  0.602179, Time  0.231144
2021-09-15 05:56:31.051064 : Epoch  9, Batch    120, Loss  0.602642, Average Loss  0.602242, Time  0.232234
2021-09-15 05:56:32.056405 : Epoch  2, Batch    483, Loss  0.865593, Average Loss  0.869778, Time  0.265772
2021-09-15 05:56:32.598049 : Epoch  9, Batch    121, Loss  0.604832, Average Loss  0.602267, Time  0.232358
2021-09-15 05:56:34.140929 : Epoch  9, Batch    122, Loss  0.601090, Average Loss  0.602234, Time  0.231393
2021-09-15 05:56:35.103563 : Epoch  2, Batch    484, Loss  0.865678, Average Loss  0.869710, Time  0.264966
2021-09-15 05:56:35.693092 : Epoch  9, Batch    123, Loss  0.590984, Average Loss  0.602208, Time  0.231511
2021-09-15 05:56:37.230026 : Epoch  9, Batch    124, Loss  0.604809, Average Loss  0.602216, Time  0.231499
2021-09-15 05:56:38.134515 : Epoch  2, Batch    485, Loss  0.883332, Average Loss  0.869802, Time  0.264688
2021-09-15 05:56:38.768581 : Epoch  9, Batch    125, Loss  0.599099, Average Loss  0.602155, Time  0.230888
2021-09-15 05:56:40.302918 : Epoch  9, Batch    126, Loss  0.603289, Average Loss  0.602216, Time  0.232549
2021-09-15 05:56:41.163068 : Epoch  2, Batch    486, Loss  0.891732, Average Loss  0.869977, Time  0.264893
2021-09-15 05:56:41.837824 : Epoch  9, Batch    127, Loss  0.603527, Average Loss  0.602228, Time  0.230870
2021-09-15 05:56:43.370376 : Epoch  9, Batch    128, Loss  0.604180, Average Loss  0.602270, Time  0.231050
2021-09-15 05:56:44.195153 : Epoch  2, Batch    487, Loss  0.869061, Average Loss  0.869955, Time  0.274190
2021-09-15 05:56:44.915825 : Epoch  9, Batch    129, Loss  0.604244, Average Loss  0.602312, Time  0.231903
2021-09-15 05:56:46.465291 : Epoch  9, Batch    130, Loss  0.589508, Average Loss  0.602271, Time  0.231577
2021-09-15 05:56:47.257534 : Epoch  2, Batch    488, Loss  0.864795, Average Loss  0.869830, Time  0.267181
2021-09-15 05:56:48.007087 : Epoch  9, Batch    131, Loss  0.595100, Average Loss  0.602248, Time  0.232642
2021-09-15 05:56:49.555878 : Epoch  9, Batch    132, Loss  0.616445, Average Loss  0.602326, Time  0.231503
2021-09-15 05:56:50.287482 : Epoch  2, Batch    489, Loss  0.865860, Average Loss  0.869871, Time  0.266155
2021-09-15 05:56:51.139033 : Epoch  9, Batch    133, Loss  0.600979, Average Loss  0.602345, Time  0.231250
2021-09-15 05:56:52.685411 : Epoch  9, Batch    134, Loss  0.595996, Average Loss  0.602368, Time  0.231988
2021-09-15 05:56:53.338105 : Epoch  2, Batch    490, Loss  0.872869, Average Loss  0.869890, Time  0.266295
2021-09-15 05:56:54.232213 : Epoch  9, Batch    135, Loss  0.599669, Average Loss  0.602296, Time  0.231536
2021-09-15 05:56:55.780609 : Epoch  9, Batch    136, Loss  0.588651, Average Loss  0.602154, Time  0.231210
2021-09-15 05:56:56.399134 : Epoch  2, Batch    491, Loss  0.876040, Average Loss  0.869940, Time  0.265772
2021-09-15 05:56:57.330687 : Epoch  9, Batch    137, Loss  0.594348, Average Loss  0.602126, Time  0.231590
2021-09-15 05:56:58.875019 : Epoch  9, Batch    138, Loss  0.597462, Average Loss  0.602075, Time  0.231712
2021-09-15 05:56:59.463074 : Epoch  2, Batch    492, Loss  0.880698, Average Loss  0.869904, Time  0.265888
2021-09-15 05:57:00.419364 : Epoch  9, Batch    139, Loss  0.609987, Average Loss  0.602139, Time  0.231020
2021-09-15 05:57:01.955238 : Epoch  9, Batch    140, Loss  0.604492, Average Loss  0.602188, Time  0.231292
2021-09-15 05:57:02.530989 : Epoch  2, Batch    493, Loss  0.854750, Average Loss  0.869747, Time  0.267312
2021-09-15 05:57:03.490604 : Epoch  9, Batch    141, Loss  0.597522, Average Loss  0.602189, Time  0.230818
2021-09-15 05:57:05.023255 : Epoch  9, Batch    142, Loss  0.605854, Average Loss  0.602265, Time  0.231110
2021-09-15 05:57:05.558399 : Epoch  2, Batch    494, Loss  0.875273, Average Loss  0.869727, Time  0.264721
2021-09-15 05:57:06.529718 : CheckPoint: Validation Loss  0.00024946, Best Loss  0.00024341
2021-09-15 05:57:06.564020 : Epoch  9, Batch    143, Loss  0.587572, Average Loss  0.602200, Time  0.230967
2021-09-15 05:57:08.051948 : Epoch  7, Batch    779, Loss  0.599805, Average Loss  0.602544, Time  0.240525
2021-09-15 05:57:08.097181 : Epoch  9, Batch    144, Loss  0.592938, Average Loss  0.602159, Time  0.231091
2021-09-15 05:57:08.609837 : Epoch  2, Batch    495, Loss  0.870706, Average Loss  0.869663, Time  0.264723
2021-09-15 05:57:09.566258 : Epoch  7, Batch    780, Loss  0.596122, Average Loss  0.602549, Time  0.240636
2021-09-15 05:57:09.632829 : Epoch  9, Batch    145, Loss  0.599075, Average Loss  0.602167, Time  0.231352
2021-09-15 05:57:11.083785 : Epoch  7, Batch    781, Loss  0.606365, Average Loss  0.602577, Time  0.240088
2021-09-15 05:57:11.172048 : Epoch  9, Batch    146, Loss  0.587263, Average Loss  0.602146, Time  0.230395
2021-09-15 05:57:11.628404 : Epoch  2, Batch    496, Loss  0.874373, Average Loss  0.869697, Time  0.264423
2021-09-15 05:57:12.605366 : Epoch  7, Batch    782, Loss  0.603802, Average Loss  0.602562, Time  0.240308
2021-09-15 05:57:12.708233 : Epoch  9, Batch    147, Loss  0.612150, Average Loss  0.602121, Time  0.231468
2021-09-15 05:57:14.122100 : Epoch  7, Batch    783, Loss  0.604460, Average Loss  0.602554, Time  0.240923
2021-09-15 05:57:14.237808 : Epoch  9, Batch    148, Loss  0.615999, Average Loss  0.602152, Time  0.232106
2021-09-15 05:57:14.640309 : Epoch  2, Batch    497, Loss  0.878761, Average Loss  0.869719, Time  0.265511
2021-09-15 05:57:15.631870 : Epoch  7, Batch    784, Loss  0.607148, Average Loss  0.602559, Time  0.238925
2021-09-15 05:57:15.784235 : Epoch  9, Batch    149, Loss  0.612645, Average Loss  0.602199, Time  0.230526
2021-09-15 05:57:17.154852 : Epoch  7, Batch    785, Loss  0.601563, Average Loss  0.602579, Time  0.240460
2021-09-15 05:57:17.307951 : Epoch  9, Batch    150, Loss  0.593433, Average Loss  0.602140, Time  0.231159
2021-09-15 05:57:17.655579 : Epoch  2, Batch    498, Loss  0.875930, Average Loss  0.869656, Time  0.264937
2021-09-15 05:57:18.675374 : Epoch  7, Batch    786, Loss  0.600182, Average Loss  0.602535, Time  0.239188
2021-09-15 05:57:18.835294 : Epoch  9, Batch    151, Loss  0.602972, Average Loss  0.602129, Time  0.230878
2021-09-15 05:57:20.194198 : Epoch  7, Batch    787, Loss  0.611278, Average Loss  0.602631, Time  0.240514
2021-09-15 05:57:20.227563 : Saving Model after 7-th Epoch.
2021-09-15 05:57:20.436101 : Epoch  9, Batch    152, Loss  0.611706, Average Loss  0.602184, Time  0.231217
2021-09-15 05:57:20.695118 : Epoch  2, Batch    499, Loss  0.870224, Average Loss  0.869646, Time  0.264475
2021-09-15 05:57:21.163604 : Epoch Finished.
2021-09-15 05:57:21.990784 : Epoch  9, Batch    153, Loss  0.588572, Average Loss  0.602151, Time  0.231952
2021-09-15 05:57:23.465606 : Batch Shuffled
2021-09-15 05:57:23.531289 : Epoch  9, Batch    154, Loss  0.601734, Average Loss  0.602150, Time  0.231468
2021-09-15 05:57:23.801269 : Epoch  2, Batch    500, Loss  0.859553, Average Loss  0.869577, Time  0.264407
2021-09-15 05:57:24.976364 : Epoch  8, Batch      1, Loss  0.607074, Average Loss  0.602647, Time  0.240636
2021-09-15 05:57:25.072215 : Epoch  9, Batch    155, Loss  0.598395, Average Loss  0.602159, Time  0.231193
2021-09-15 05:57:26.485375 : Epoch  8, Batch      2, Loss  0.602851, Average Loss  0.602657, Time  0.237924
2021-09-15 05:57:26.617852 : Epoch  9, Batch    156, Loss  0.598892, Average Loss  0.602168, Time  0.231732
2021-09-15 05:57:26.811023 : Epoch  2, Batch    501, Loss  0.863648, Average Loss  0.869685, Time  0.265681
2021-09-15 05:57:27.991441 : Epoch  8, Batch      3, Loss  0.608379, Average Loss  0.602687, Time  0.239080
2021-09-15 05:57:28.152640 : Epoch  9, Batch    157, Loss  0.603666, Average Loss  0.602081, Time  0.233704
2021-09-15 05:57:29.685385 : Epoch  9, Batch    158, Loss  0.599535, Average Loss  0.602098, Time  0.232585
2021-09-15 05:57:29.720054 : Epoch  8, Batch      4, Loss  0.597513, Average Loss  0.602677, Time  0.261093
2021-09-15 05:57:29.821125 : Epoch  2, Batch    502, Loss  0.864086, Average Loss  0.869717, Time  0.273472
2021-09-15 05:57:31.225162 : Epoch  9, Batch    159, Loss  0.595610, Average Loss  0.602018, Time  0.230948
2021-09-15 05:57:31.266418 : Epoch  8, Batch      5, Loss  0.618388, Average Loss  0.602760, Time  0.239523
2021-09-15 05:57:32.765271 : Epoch  9, Batch    160, Loss  0.596043, Average Loss  0.601985, Time  0.232516
2021-09-15 05:57:32.798023 : Epoch  8, Batch      6, Loss  0.598678, Average Loss  0.602715, Time  0.240105
2021-09-15 05:57:32.844912 : Epoch  2, Batch    503, Loss  0.867627, Average Loss  0.869796, Time  0.264434
2021-09-15 05:57:34.305151 : Epoch  9, Batch    161, Loss  0.600144, Average Loss  0.601968, Time  0.231403
2021-09-15 05:57:34.330406 : Epoch  8, Batch      7, Loss  0.584896, Average Loss  0.602609, Time  0.240164
2021-09-15 05:57:35.839293 : Epoch  9, Batch    162, Loss  0.600586, Average Loss  0.601935, Time  0.231222
2021-09-15 05:57:35.853919 : Epoch  2, Batch    504, Loss  0.860522, Average Loss  0.869743, Time  0.265214
2021-09-15 05:57:35.870435 : Epoch  8, Batch      8, Loss  0.616082, Average Loss  0.602652, Time  0.240447
2021-09-15 05:57:37.380918 : Epoch  9, Batch    163, Loss  0.598844, Average Loss  0.601933, Time  0.231078
2021-09-15 05:57:37.425206 : Epoch  8, Batch      9, Loss  0.605243, Average Loss  0.602643, Time  0.238685
2021-09-15 05:57:38.887833 : Epoch  2, Batch    505, Loss  0.867401, Average Loss  0.869763, Time  0.265270
2021-09-15 05:57:38.920164 : Epoch  9, Batch    164, Loss  0.598567, Average Loss  0.601943, Time  0.231081
2021-09-15 05:57:38.963931 : Epoch  8, Batch     10, Loss  0.600244, Average Loss  0.602650, Time  0.241309
2021-09-15 05:57:40.468151 : Epoch  9, Batch    165, Loss  0.600469, Average Loss  0.601907, Time  0.231715
2021-09-15 05:57:40.502378 : Epoch  8, Batch     11, Loss  0.599022, Average Loss  0.602667, Time  0.240113
2021-09-15 05:57:41.899932 : Epoch  2, Batch    506, Loss  0.860210, Average Loss  0.869793, Time  0.264441
2021-09-15 05:57:42.006741 : Epoch  9, Batch    166, Loss  0.613045, Average Loss  0.601966, Time  0.231221
2021-09-15 05:57:42.042367 : Epoch  8, Batch     12, Loss  0.604490, Average Loss  0.602647, Time  0.240529
2021-09-15 05:57:43.558079 : Epoch  9, Batch    167, Loss  0.601823, Average Loss  0.601948, Time  0.231481
2021-09-15 05:57:43.589455 : Epoch  8, Batch     13, Loss  0.613478, Average Loss  0.602670, Time  0.243505
2021-09-15 05:57:44.920531 : Epoch  2, Batch    507, Loss  0.883582, Average Loss  0.869957, Time  0.264701
2021-09-15 05:57:45.092900 : Epoch  9, Batch    168, Loss  0.588858, Average Loss  0.601911, Time  0.231430
2021-09-15 05:57:45.125122 : Epoch  8, Batch     14, Loss  0.601366, Average Loss  0.602693, Time  0.239879
2021-09-15 05:57:46.640407 : Epoch  9, Batch    169, Loss  0.599541, Average Loss  0.601963, Time  0.231300
2021-09-15 05:57:46.672846 : Epoch  8, Batch     15, Loss  0.603833, Average Loss  0.602729, Time  0.238712
2021-09-15 05:57:47.934920 : Epoch  2, Batch    508, Loss  0.860279, Average Loss  0.869959, Time  0.264678
2021-09-15 05:57:48.184433 : Epoch  9, Batch    170, Loss  0.605995, Average Loss  0.601967, Time  0.232533
2021-09-15 05:57:48.205833 : Epoch  8, Batch     16, Loss  0.615800, Average Loss  0.602842, Time  0.236983
2021-09-15 05:57:49.717294 : Epoch  9, Batch    171, Loss  0.596763, Average Loss  0.601931, Time  0.232052
2021-09-15 05:57:49.757977 : Epoch  8, Batch     17, Loss  0.608854, Average Loss  0.602801, Time  0.236480
2021-09-15 05:57:50.955621 : Epoch  2, Batch    509, Loss  0.887867, Average Loss  0.870007, Time  0.267557
2021-09-15 05:57:51.266856 : Epoch  9, Batch    172, Loss  0.604615, Average Loss  0.601948, Time  0.231546
2021-09-15 05:57:51.292378 : Epoch  8, Batch     18, Loss  0.610576, Average Loss  0.602862, Time  0.237396
2021-09-15 05:57:52.807111 : Epoch  9, Batch    173, Loss  0.612024, Average Loss  0.602019, Time  0.235105
2021-09-15 05:57:52.841943 : Epoch  8, Batch     19, Loss  0.603302, Average Loss  0.602873, Time  0.240378
2021-09-15 05:57:54.000887 : Epoch  2, Batch    510, Loss  0.846102, Average Loss  0.869970, Time  0.265260
2021-09-15 05:57:54.350833 : Epoch  9, Batch    174, Loss  0.594082, Average Loss  0.601978, Time  0.232716
2021-09-15 05:57:54.384415 : Epoch  8, Batch     20, Loss  0.596224, Average Loss  0.602831, Time  0.241412
2021-09-15 05:57:55.902339 : Epoch  8, Batch     21, Loss  0.606228, Average Loss  0.602848, Time  0.239261
2021-09-15 05:57:57.044172 : Epoch  2, Batch    511, Loss  0.858212, Average Loss  0.869939, Time  0.265217
2021-09-15 05:57:57.413292 : Epoch  8, Batch     22, Loss  0.600165, Average Loss  0.602816, Time  0.236481
2021-09-15 05:57:58.283667 : Epoch  9, Batch    175, Loss  0.593838, Average Loss  0.601863, Time  0.265599
2021-09-15 05:57:58.947035 : Epoch  8, Batch     23, Loss  0.612868, Average Loss  0.602871, Time  0.238561
2021-09-15 05:57:59.821646 : Epoch  9, Batch    176, Loss  0.600960, Average Loss  0.601883, Time  0.234460
2021-09-15 05:58:00.091476 : Epoch  2, Batch    512, Loss  0.865327, Average Loss  0.869984, Time  0.265495
2021-09-15 05:58:00.506619 : Epoch  8, Batch     24, Loss  0.597094, Average Loss  0.602886, Time  0.242251
2021-09-15 05:58:01.367358 : Epoch  9, Batch    177, Loss  0.609176, Average Loss  0.601878, Time  0.231257
2021-09-15 05:58:02.046173 : Epoch  8, Batch     25, Loss  0.597376, Average Loss  0.602862, Time  0.242438
2021-09-15 05:58:02.912939 : Epoch  9, Batch    178, Loss  0.597307, Average Loss  0.601807, Time  0.232091
2021-09-15 05:58:03.143266 : Epoch  2, Batch    513, Loss  0.858859, Average Loss  0.870025, Time  0.265727
2021-09-15 05:58:03.719074 : Epoch  8, Batch     26, Loss  0.604368, Average Loss  0.602929, Time  0.258533
2021-09-15 05:58:04.440125 : Epoch  9, Batch    179, Loss  0.598739, Average Loss  0.601766, Time  0.231947
2021-09-15 05:58:05.397836 : Epoch  8, Batch     27, Loss  0.602935, Average Loss  0.602934, Time  0.259588
2021-09-15 05:58:05.978683 : Epoch  9, Batch    180, Loss  0.609522, Average Loss  0.601819, Time  0.232891
2021-09-15 05:58:06.200216 : Epoch  2, Batch    514, Loss  0.878223, Average Loss  0.869997, Time  0.264921
2021-09-15 05:58:07.083877 : Epoch  8, Batch     28, Loss  0.609421, Average Loss  0.602982, Time  0.260438
2021-09-15 05:58:07.521189 : Epoch  9, Batch    181, Loss  0.603657, Average Loss  0.601825, Time  0.230944
2021-09-15 05:58:08.774339 : Epoch  8, Batch     29, Loss  0.605934, Average Loss  0.602960, Time  0.260534
2021-09-15 05:58:09.060066 : Epoch  9, Batch    182, Loss  0.591016, Average Loss  0.601776, Time  0.232111
2021-09-15 05:58:09.227696 : Epoch  2, Batch    515, Loss  0.857710, Average Loss  0.869915, Time  0.264881
2021-09-15 05:58:10.462466 : Epoch  8, Batch     30, Loss  0.599889, Average Loss  0.602968, Time  0.260007
2021-09-15 05:58:10.583044 : Epoch  9, Batch    183, Loss  0.595961, Average Loss  0.601746, Time  0.231728
2021-09-15 05:58:12.115410 : Epoch  9, Batch    184, Loss  0.588878, Average Loss  0.601739, Time  0.231668
2021-09-15 05:58:12.149155 : Epoch  8, Batch     31, Loss  0.598129, Average Loss  0.602941, Time  0.258687
2021-09-15 05:58:12.264157 : Epoch  2, Batch    516, Loss  0.876835, Average Loss  0.869893, Time  0.265772
2021-09-15 05:58:13.659678 : Epoch  9, Batch    185, Loss  0.598005, Average Loss  0.601745, Time  0.231201
2021-09-15 05:58:13.692917 : Epoch  8, Batch     32, Loss  0.611361, Average Loss  0.602975, Time  0.239211
2021-09-15 05:58:15.202413 : Epoch  9, Batch    186, Loss  0.605063, Average Loss  0.601694, Time  0.230997
2021-09-15 05:58:15.301086 : Epoch  2, Batch    517, Loss  0.866763, Average Loss  0.869992, Time  0.273045
2021-09-15 05:58:15.368352 : Epoch  8, Batch     33, Loss  0.600736, Average Loss  0.602992, Time  0.260146
2021-09-15 05:58:16.753399 : Epoch  9, Batch    187, Loss  0.596354, Average Loss  0.601647, Time  0.231656
2021-09-15 05:58:16.887935 : Epoch  8, Batch     34, Loss  0.609487, Average Loss  0.602975, Time  0.239215
2021-09-15 05:58:18.304533 : Epoch  2, Batch    518, Loss  0.864015, Average Loss  0.869970, Time  0.265333
2021-09-15 05:58:18.304670 : Epoch  9, Batch    188, Loss  0.611487, Average Loss  0.601686, Time  0.231843
2021-09-15 05:58:18.414454 : Epoch  8, Batch     35, Loss  0.601145, Average Loss  0.603004, Time  0.239405
2021-09-15 05:58:19.864185 : Epoch  9, Batch    189, Loss  0.600788, Average Loss  0.601659, Time  0.231781
2021-09-15 05:58:19.933998 : Epoch  8, Batch     36, Loss  0.602541, Average Loss  0.602965, Time  0.238477
2021-09-15 05:58:21.345967 : Epoch  2, Batch    519, Loss  0.878561, Average Loss  0.870020, Time  0.264721
2021-09-15 05:58:21.411448 : Epoch  9, Batch    190, Loss  0.608598, Average Loss  0.601736, Time  0.232720
2021-09-15 05:58:21.450858 : Epoch  8, Batch     37, Loss  0.600893, Average Loss  0.602899, Time  0.238195
2021-09-15 05:58:22.939651 : Epoch  9, Batch    191, Loss  0.615174, Average Loss  0.601823, Time  0.231692
2021-09-15 05:58:22.974096 : Epoch  8, Batch     38, Loss  0.612779, Average Loss  0.602984, Time  0.238225
2021-09-15 05:58:24.383918 : Epoch  2, Batch    520, Loss  0.878608, Average Loss  0.869982, Time  0.265751
2021-09-15 05:58:24.482044 : Epoch  8, Batch     39, Loss  0.602461, Average Loss  0.602985, Time  0.237080
2021-09-15 05:58:24.502155 : Epoch  9, Batch    192, Loss  0.601035, Average Loss  0.601835, Time  0.233893
2021-09-15 05:58:26.002807 : Epoch  8, Batch     40, Loss  0.611294, Average Loss  0.602990, Time  0.242357
2021-09-15 05:58:26.060467 : Epoch  9, Batch    193, Loss  0.603414, Average Loss  0.601909, Time  0.232613
2021-09-15 05:58:27.433063 : Epoch  2, Batch    521, Loss  0.857961, Average Loss  0.869943, Time  0.264980
2021-09-15 05:58:27.614354 : Epoch  9, Batch    194, Loss  0.601767, Average Loss  0.601868, Time  0.232679
2021-09-15 05:58:27.692079 : Epoch  8, Batch     41, Loss  0.610137, Average Loss  0.602994, Time  0.258602
2021-09-15 05:58:29.174655 : Epoch  9, Batch    195, Loss  0.609242, Average Loss  0.601967, Time  0.233401
2021-09-15 05:58:29.387220 : Epoch  8, Batch     42, Loss  0.613809, Average Loss  0.603029, Time  0.259398
2021-09-15 05:58:30.456935 : Epoch  2, Batch    522, Loss  0.866516, Average Loss  0.869872, Time  0.265538
2021-09-15 05:58:30.724039 : Epoch  9, Batch    196, Loss  0.607975, Average Loss  0.602008, Time  0.231438
2021-09-15 05:58:31.053467 : Epoch  8, Batch     43, Loss  0.598714, Average Loss  0.603004, Time  0.257735
2021-09-15 05:58:32.283141 : Epoch  9, Batch    197, Loss  0.598366, Average Loss  0.602001, Time  0.231624
2021-09-15 05:58:32.565037 : Epoch  8, Batch     44, Loss  0.601984, Average Loss  0.603042, Time  0.241115
2021-09-15 05:58:33.510518 : Epoch  2, Batch    523, Loss  0.860272, Average Loss  0.869851, Time  0.265167
2021-09-15 05:58:33.843351 : Epoch  9, Batch    198, Loss  0.599434, Average Loss  0.601992, Time  0.231062
2021-09-15 05:58:34.077997 : Epoch  8, Batch     45, Loss  0.598753, Average Loss  0.603012, Time  0.242379
2021-09-15 05:58:35.386382 : Epoch  9, Batch    199, Loss  0.597655, Average Loss  0.601985, Time  0.231106
2021-09-15 05:58:35.616138 : Epoch  8, Batch     46, Loss  0.597235, Average Loss  0.603037, Time  0.242302
2021-09-15 05:58:36.535993 : Epoch  2, Batch    524, Loss  0.865140, Average Loss  0.869796, Time  0.265442
2021-09-15 05:58:36.938669 : Epoch  9, Batch    200, Loss  0.606711, Average Loss  0.601958, Time  0.231150
2021-09-15 05:58:37.131469 : Epoch  8, Batch     47, Loss  0.591993, Average Loss  0.603002, Time  0.239463
2021-09-15 05:58:38.483645 : Epoch  9, Batch    201, Loss  0.593314, Average Loss  0.601942, Time  0.232486
2021-09-15 05:58:38.825912 : Epoch  8, Batch     48, Loss  0.613908, Average Loss  0.602998, Time  0.260404
2021-09-15 05:58:39.557315 : Epoch  2, Batch    525, Loss  0.865868, Average Loss  0.869779, Time  0.264750
2021-09-15 05:58:40.030621 : Epoch  9, Batch    202, Loss  0.583344, Average Loss  0.601860, Time  0.232279
2021-09-15 05:58:40.487985 : Epoch  8, Batch     49, Loss  0.596639, Average Loss  0.602944, Time  0.258136
2021-09-15 05:58:41.572364 : Epoch  9, Batch    203, Loss  0.595590, Average Loss  0.601900, Time  0.232599
2021-09-15 05:58:42.142193 : Epoch  8, Batch     50, Loss  0.603508, Average Loss  0.602903, Time  0.242474
2021-09-15 05:58:42.591983 : Epoch  2, Batch    526, Loss  0.858218, Average Loss  0.869712, Time  0.264706
2021-09-15 05:58:43.137785 : Epoch  9, Batch    204, Loss  0.605530, Average Loss  0.601945, Time  0.232686
2021-09-15 05:58:43.681081 : Epoch  8, Batch     51, Loss  0.604242, Average Loss  0.602913, Time  0.239582
2021-09-15 05:58:45.221242 : Epoch  8, Batch     52, Loss  0.616612, Average Loss  0.602881, Time  0.238821
2021-09-15 05:58:45.615445 : Epoch  2, Batch    527, Loss  0.868473, Average Loss  0.869767, Time  0.265757
2021-09-15 05:58:46.756102 : Epoch  8, Batch     53, Loss  0.608463, Average Loss  0.602942, Time  0.238954
2021-09-15 05:58:48.294677 : Epoch  8, Batch     54, Loss  0.603686, Average Loss  0.602956, Time  0.240524
2021-09-15 05:58:48.647831 : Epoch  2, Batch    528, Loss  0.885005, Average Loss  0.869751, Time  0.266206
2021-09-15 05:58:49.817151 : Epoch  8, Batch     55, Loss  0.615830, Average Loss  0.603077, Time  0.238321
2021-09-15 05:58:51.340030 : Epoch  8, Batch     56, Loss  0.608717, Average Loss  0.603087, Time  0.237930
2021-09-15 05:58:51.641174 : Epoch  2, Batch    529, Loss  0.879061, Average Loss  0.869816, Time  0.264541
2021-09-15 05:58:52.864742 : Epoch  8, Batch     57, Loss  0.602397, Average Loss  0.603098, Time  0.243504
2021-09-15 05:58:54.405643 : Epoch  8, Batch     58, Loss  0.600588, Average Loss  0.603153, Time  0.237429
2021-09-15 05:58:54.549098 : Epoch  8, Batch     59, Loss  0.447061, Average Loss  0.602351, Time  0.100262
2021-09-15 05:58:54.675185 : Epoch  2, Batch    530, Loss  0.872196, Average Loss  0.869726, Time  0.265683
2021-09-15 05:58:56.062376 : Epoch  8, Batch     60, Loss  0.601184, Average Loss  0.602362, Time  0.238547
2021-09-15 05:58:57.605673 : Epoch  8, Batch     61, Loss  0.609192, Average Loss  0.602432, Time  0.240098
2021-09-15 05:58:57.681081 : Epoch  2, Batch    531, Loss  0.858901, Average Loss  0.869563, Time  0.265631
2021-09-15 05:58:59.127840 : Epoch  8, Batch     62, Loss  0.606321, Average Loss  0.602460, Time  0.238393
2021-09-15 05:59:00.648197 : Epoch  8, Batch     63, Loss  0.615428, Average Loss  0.602561, Time  0.239367
2021-09-15 05:59:00.721259 : Epoch  2, Batch    532, Loss  0.869940, Average Loss  0.869546, Time  0.276178
2021-09-15 05:59:02.327833 : Epoch  8, Batch     64, Loss  0.618885, Average Loss  0.602623, Time  0.258091
2021-09-15 05:59:03.768700 : Epoch  2, Batch    533, Loss  0.865040, Average Loss  0.869464, Time  0.266042
2021-09-15 05:59:04.020478 : Epoch  8, Batch     65, Loss  0.606456, Average Loss  0.602728, Time  0.258662
2021-09-15 05:59:05.698109 : Epoch  8, Batch     66, Loss  0.609150, Average Loss  0.602789, Time  0.257939
2021-09-15 05:59:06.820758 : Epoch  2, Batch    534, Loss  0.866942, Average Loss  0.869496, Time  0.264719
2021-09-15 05:59:07.243867 : Epoch  8, Batch     67, Loss  0.593568, Average Loss  0.602773, Time  0.242049
2021-09-15 05:59:08.927419 : Epoch  8, Batch     68, Loss  0.597767, Average Loss  0.602744, Time  0.260029
2021-09-15 05:59:09.842799 : Epoch  2, Batch    535, Loss  0.863829, Average Loss  0.869504, Time  0.264956
2021-09-15 05:59:10.624464 : Epoch  8, Batch     69, Loss  0.597861, Average Loss  0.602672, Time  0.260312
2021-09-15 05:59:12.297819 : Epoch  8, Batch     70, Loss  0.609650, Average Loss  0.602678, Time  0.256825
2021-09-15 05:59:12.882221 : Epoch  2, Batch    536, Loss  0.879101, Average Loss  0.869543, Time  0.265518
2021-09-15 05:59:13.990147 : Epoch  8, Batch     71, Loss  0.613337, Average Loss  0.602725, Time  0.257194
2021-09-15 05:59:15.532140 : Epoch  8, Batch     72, Loss  0.606269, Average Loss  0.602728, Time  0.239516
2021-09-15 05:59:15.898059 : Epoch  2, Batch    537, Loss  0.871888, Average Loss  0.869540, Time  0.264386
2021-09-15 05:59:17.052767 : Epoch  8, Batch     73, Loss  0.613564, Average Loss  0.602852, Time  0.239059
2021-09-15 05:59:18.584533 : Epoch  8, Batch     74, Loss  0.618499, Average Loss  0.602898, Time  0.243995
2021-09-15 05:59:18.931600 : Epoch  2, Batch    538, Loss  0.864394, Average Loss  0.869468, Time  0.265387
2021-09-15 05:59:20.134029 : Epoch  8, Batch     75, Loss  0.603928, Average Loss  0.602885, Time  0.240341
2021-09-15 05:59:21.655055 : Epoch  8, Batch     76, Loss  0.604437, Average Loss  0.602892, Time  0.237943
2021-09-15 05:59:21.949964 : Epoch  2, Batch    539, Loss  0.860822, Average Loss  0.869408, Time  0.264458
2021-09-15 05:59:23.182748 : Epoch  8, Batch     77, Loss  0.612619, Average Loss  0.602887, Time  0.241187
2021-09-15 05:59:24.862986 : Epoch  8, Batch     78, Loss  0.593502, Average Loss  0.602874, Time  0.258169
2021-09-15 05:59:24.965976 : Epoch  2, Batch    540, Loss  0.855775, Average Loss  0.869338, Time  0.265925
2021-09-15 05:59:26.541435 : Epoch  8, Batch     79, Loss  0.604479, Average Loss  0.602858, Time  0.257041
2021-09-15 05:59:27.980564 : Epoch  2, Batch    541, Loss  0.867688, Average Loss  0.869298, Time  0.265468
2021-09-15 05:59:28.218726 : Epoch  8, Batch     80, Loss  0.596171, Average Loss  0.602845, Time  0.258258
2021-09-15 05:59:29.908196 : Epoch  8, Batch     81, Loss  0.604016, Average Loss  0.602895, Time  0.258328
2021-09-15 05:59:31.030538 : Epoch  2, Batch    542, Loss  0.861985, Average Loss  0.869227, Time  0.264761
2021-09-15 05:59:31.590091 : Epoch  8, Batch     82, Loss  0.608368, Average Loss  0.602867, Time  0.257280
2021-09-15 05:59:33.273393 : Epoch  8, Batch     83, Loss  0.602436, Average Loss  0.602790, Time  0.257082
2021-09-15 05:59:34.052815 : Epoch  2, Batch    543, Loss  0.855756, Average Loss  0.869209, Time  0.265314
2021-09-15 05:59:34.978427 : Epoch  8, Batch     84, Loss  0.603625, Average Loss  0.602814, Time  0.262070
2021-09-15 05:59:36.506362 : Epoch  8, Batch     85, Loss  0.607215, Average Loss  0.602889, Time  0.240676
2021-09-15 05:59:37.064219 : Epoch  2, Batch    544, Loss  0.884464, Average Loss  0.869282, Time  0.264692
2021-09-15 05:59:38.188385 : Epoch  8, Batch     86, Loss  0.600777, Average Loss  0.602875, Time  0.260165
2021-09-15 05:59:39.887826 : Epoch  8, Batch     87, Loss  0.608675, Average Loss  0.602937, Time  0.259571
2021-09-15 05:59:41.425482 : Epoch  8, Batch     88, Loss  0.603511, Average Loss  0.602941, Time  0.242027
2021-09-15 05:59:41.926748 : CheckPoint: Validation Loss  0.00025073, Best Loss  0.00024467
2021-09-15 05:59:42.953734 : Epoch  8, Batch     89, Loss  0.597422, Average Loss  0.602934, Time  0.239537
2021-09-15 05:59:43.480372 : Epoch  9, Batch    205, Loss  0.614550, Average Loss  0.602043, Time  0.232025
2021-09-15 05:59:44.496517 : Epoch  8, Batch     90, Loss  0.606087, Average Loss  0.602941, Time  0.240182
2021-09-15 05:59:45.036557 : Epoch  9, Batch    206, Loss  0.602966, Average Loss  0.602071, Time  0.231803
2021-09-15 05:59:46.032460 : Epoch  8, Batch     91, Loss  0.606185, Average Loss  0.602916, Time  0.240376
2021-09-15 05:59:46.589253 : Epoch  9, Batch    207, Loss  0.614639, Average Loss  0.602102, Time  0.233104
2021-09-15 05:59:48.136469 : Epoch  9, Batch    208, Loss  0.602718, Average Loss  0.602055, Time  0.231111
2021-09-15 05:59:49.702078 : Epoch  9, Batch    209, Loss  0.613326, Average Loss  0.602092, Time  0.231890
2021-09-15 05:59:51.258048 : Epoch  9, Batch    210, Loss  0.602396, Average Loss  0.602077, Time  0.231464
2021-09-15 05:59:52.811586 : Epoch  9, Batch    211, Loss  0.592866, Average Loss  0.602087, Time  0.230805
2021-09-15 05:59:54.366125 : Epoch  9, Batch    212, Loss  0.605529, Average Loss  0.602138, Time  0.232103
2021-09-15 05:59:55.914973 : Epoch  9, Batch    213, Loss  0.605581, Average Loss  0.602181, Time  0.231414
2021-09-15 05:59:57.470110 : Epoch  9, Batch    214, Loss  0.599631, Average Loss  0.602227, Time  0.231995
2021-09-15 05:59:59.019884 : Epoch  9, Batch    215, Loss  0.596934, Average Loss  0.602201, Time  0.232538
2021-09-15 06:00:00.569342 : Epoch  9, Batch    216, Loss  0.591766, Average Loss  0.602151, Time  0.232143
2021-09-15 06:00:02.127318 : Epoch  9, Batch    217, Loss  0.614433, Average Loss  0.602143, Time  0.231061
2021-09-15 06:00:03.673641 : Epoch  9, Batch    218, Loss  0.601869, Average Loss  0.602163, Time  0.231308
2021-09-15 06:00:05.226341 : Epoch  9, Batch    219, Loss  0.590701, Average Loss  0.602076, Time  0.231088
2021-09-15 06:00:06.774828 : Epoch  9, Batch    220, Loss  0.595769, Average Loss  0.602035, Time  0.231227
2021-09-15 06:00:08.324350 : Epoch  9, Batch    221, Loss  0.604795, Average Loss  0.602028, Time  0.230756
2021-09-15 06:00:09.879678 : Epoch  9, Batch    222, Loss  0.593434, Average Loss  0.602022, Time  0.231162
2021-09-15 06:00:11.433559 : Epoch  9, Batch    223, Loss  0.617059, Average Loss  0.602168, Time  0.231050
2021-09-15 06:00:12.986397 : Epoch  9, Batch    224, Loss  0.606791, Average Loss  0.602143, Time  0.231945
2021-09-15 06:00:14.542115 : Epoch  9, Batch    225, Loss  0.594481, Average Loss  0.602089, Time  0.231569
2021-09-15 06:00:16.095796 : Epoch  9, Batch    226, Loss  0.588113, Average Loss  0.601966, Time  0.232904
2021-09-15 06:00:17.647179 : Epoch  9, Batch    227, Loss  0.623170, Average Loss  0.602058, Time  0.231165
2021-09-15 06:00:19.192380 : Epoch  9, Batch    228, Loss  0.597682, Average Loss  0.602075, Time  0.231167
2021-09-15 06:00:20.741265 : Epoch  9, Batch    229, Loss  0.600168, Average Loss  0.602083, Time  0.231402
2021-09-15 06:00:22.287935 : Epoch  9, Batch    230, Loss  0.607773, Average Loss  0.602094, Time  0.231498
2021-09-15 06:00:23.846751 : Epoch  9, Batch    231, Loss  0.607693, Average Loss  0.602129, Time  0.231269
2021-09-15 06:00:25.400085 : Epoch  9, Batch    232, Loss  0.604248, Average Loss  0.602163, Time  0.231328
2021-09-15 06:00:26.954916 : Epoch  9, Batch    233, Loss  0.605505, Average Loss  0.602138, Time  0.232144
2021-09-15 06:00:28.502250 : Epoch  9, Batch    234, Loss  0.600200, Average Loss  0.602117, Time  0.231337
2021-09-15 06:00:30.052581 : Epoch  9, Batch    235, Loss  0.600385, Average Loss  0.602082, Time  0.231583
2021-09-15 06:00:31.612958 : Epoch  9, Batch    236, Loss  0.592294, Average Loss  0.602021, Time  0.232682
2021-09-15 06:00:33.164238 : Epoch  9, Batch    237, Loss  0.601230, Average Loss  0.601991, Time  0.231279
2021-09-15 06:00:34.712328 : Epoch  9, Batch    238, Loss  0.602691, Average Loss  0.601965, Time  0.231219
2021-09-15 06:00:36.266349 : Epoch  9, Batch    239, Loss  0.605553, Average Loss  0.602006, Time  0.231245
2021-09-15 06:00:37.816770 : Epoch  9, Batch    240, Loss  0.590992, Average Loss  0.602003, Time  0.233013
2021-09-15 06:00:39.379819 : Epoch  9, Batch    241, Loss  0.605729, Average Loss  0.602003, Time  0.231597
2021-09-15 06:00:40.925020 : Epoch  9, Batch    242, Loss  0.605491, Average Loss  0.601992, Time  0.232010
2021-09-15 06:00:42.474700 : Epoch  9, Batch    243, Loss  0.587200, Average Loss  0.601901, Time  0.231253
2021-09-15 06:00:42.966699 : CheckPoint: Validation Loss  0.00025394, Best Loss  0.00024341
2021-09-15 06:00:44.028060 : Epoch  9, Batch    244, Loss  0.601108, Average Loss  0.601900, Time  0.231362
2021-09-15 06:00:44.485976 : Epoch  8, Batch     92, Loss  0.597259, Average Loss  0.602942, Time  0.240306
2021-09-15 06:00:45.580057 : Epoch  9, Batch    245, Loss  0.606953, Average Loss  0.601991, Time  0.231026
2021-09-15 06:00:46.002096 : Epoch  8, Batch     93, Loss  0.596977, Average Loss  0.602979, Time  0.240103
2021-09-15 06:00:47.125736 : Epoch  9, Batch    246, Loss  0.605756, Average Loss  0.601950, Time  0.230960
2021-09-15 06:00:47.525291 : Epoch  8, Batch     94, Loss  0.602570, Average Loss  0.602978, Time  0.240957
2021-09-15 06:00:48.681813 : Epoch  9, Batch    247, Loss  0.595546, Average Loss  0.601938, Time  0.230804
2021-09-15 06:00:49.046333 : Epoch  8, Batch     95, Loss  0.598040, Average Loss  0.602963, Time  0.239512
2021-09-15 06:00:50.227323 : Epoch  9, Batch    248, Loss  0.616670, Average Loss  0.602017, Time  0.230734
2021-09-15 06:00:50.571096 : Epoch  8, Batch     96, Loss  0.610709, Average Loss  0.603091, Time  0.238942
2021-09-15 06:00:51.766210 : Epoch  9, Batch    249, Loss  0.607235, Average Loss  0.602049, Time  0.230430
2021-09-15 06:00:52.087083 : Epoch  8, Batch     97, Loss  0.604907, Average Loss  0.603101, Time  0.236669
2021-09-15 06:00:53.314304 : Epoch  9, Batch    250, Loss  0.595653, Average Loss  0.601957, Time  0.230866
2021-09-15 06:00:53.603547 : Epoch  8, Batch     98, Loss  0.604462, Average Loss  0.603070, Time  0.239010
2021-09-15 06:00:54.858681 : Epoch  9, Batch    251, Loss  0.603120, Average Loss  0.601965, Time  0.230704
2021-09-15 06:00:55.163494 : Epoch  8, Batch     99, Loss  0.597665, Average Loss  0.602996, Time  0.246940
2021-09-15 06:00:56.402048 : Epoch  9, Batch    252, Loss  0.614587, Average Loss  0.601967, Time  0.231173
2021-09-15 06:00:56.696785 : Epoch  8, Batch    100, Loss  0.609835, Average Loss  0.603034, Time  0.241360
2021-09-15 06:00:57.974129 : Epoch  9, Batch    253, Loss  0.583672, Average Loss  0.601874, Time  0.231183
2021-09-15 06:00:58.231445 : Epoch  8, Batch    101, Loss  0.598557, Average Loss  0.603012, Time  0.241720
2021-09-15 06:00:59.522140 : Epoch  9, Batch    254, Loss  0.603112, Average Loss  0.601851, Time  0.230693
2021-09-15 06:00:59.759382 : Epoch  8, Batch    102, Loss  0.600270, Average Loss  0.602954, Time  0.241256
2021-09-15 06:01:01.065300 : Epoch  9, Batch    255, Loss  0.592917, Average Loss  0.601798, Time  0.231494
2021-09-15 06:01:01.304133 : Epoch  8, Batch    103, Loss  0.609565, Average Loss  0.603000, Time  0.240504
2021-09-15 06:01:02.629036 : Epoch  9, Batch    256, Loss  0.606043, Average Loss  0.601820, Time  0.230823
2021-09-15 06:01:02.832808 : Epoch  8, Batch    104, Loss  0.607118, Average Loss  0.603068, Time  0.239237
2021-09-15 06:01:04.182945 : Epoch  9, Batch    257, Loss  0.600984, Average Loss  0.601813, Time  0.231153
2021-09-15 06:01:04.374488 : Epoch  8, Batch    105, Loss  0.619090, Average Loss  0.603128, Time  0.241878
2021-09-15 06:01:05.721100 : Epoch  9, Batch    258, Loss  0.596274, Average Loss  0.601722, Time  0.231028
2021-09-15 06:01:05.907027 : Epoch  8, Batch    106, Loss  0.599347, Average Loss  0.603141, Time  0.239638
2021-09-15 06:01:07.260107 : Epoch  9, Batch    259, Loss  0.599940, Average Loss  0.601765, Time  0.230860
2021-09-15 06:01:07.431001 : Epoch  8, Batch    107, Loss  0.600333, Average Loss  0.603150, Time  0.239648
2021-09-15 06:01:08.804243 : Epoch  9, Batch    260, Loss  0.608451, Average Loss  0.601787, Time  0.231115
2021-09-15 06:01:08.965917 : Epoch  8, Batch    108, Loss  0.604640, Average Loss  0.603136, Time  0.238958
2021-09-15 06:01:10.343585 : Epoch  9, Batch    261, Loss  0.620447, Average Loss  0.601859, Time  0.232167
2021-09-15 06:01:10.500863 : Epoch  8, Batch    109, Loss  0.607667, Average Loss  0.603215, Time  0.242722
2021-09-15 06:01:11.894648 : Epoch  9, Batch    262, Loss  0.601375, Average Loss  0.601852, Time  0.231544
2021-09-15 06:01:12.032950 : Epoch  8, Batch    110, Loss  0.601735, Average Loss  0.603241, Time  0.241859
2021-09-15 06:01:13.429284 : Epoch  9, Batch    263, Loss  0.594531, Average Loss  0.601779, Time  0.231366
2021-09-15 06:01:13.559118 : Epoch  8, Batch    111, Loss  0.612931, Average Loss  0.603321, Time  0.239422
2021-09-15 06:01:14.972103 : Epoch  9, Batch    264, Loss  0.600039, Average Loss  0.601764, Time  0.232308
2021-09-15 06:01:15.102963 : Epoch  8, Batch    112, Loss  0.609972, Average Loss  0.603370, Time  0.240702
2021-09-15 06:01:16.512778 : Epoch  9, Batch    265, Loss  0.601385, Average Loss  0.601704, Time  0.232332
2021-09-15 06:01:16.634937 : Epoch  8, Batch    113, Loss  0.599578, Average Loss  0.603318, Time  0.238860
2021-09-15 06:01:18.054119 : Epoch  9, Batch    266, Loss  0.600246, Average Loss  0.601699, Time  0.233005
2021-09-15 06:01:18.155422 : Epoch  8, Batch    114, Loss  0.610778, Average Loss  0.603350, Time  0.239057
2021-09-15 06:01:19.604342 : Epoch  9, Batch    267, Loss  0.589925, Average Loss  0.601634, Time  0.230745
2021-09-15 06:01:19.860528 : Epoch  8, Batch    115, Loss  0.598376, Average Loss  0.603361, Time  0.260316
2021-09-15 06:01:21.147883 : Epoch  9, Batch    268, Loss  0.607761, Average Loss  0.601689, Time  0.231128
2021-09-15 06:01:21.383799 : Epoch  8, Batch    116, Loss  0.602198, Average Loss  0.603372, Time  0.238258
2021-09-15 06:01:22.742120 : Epoch  9, Batch    269, Loss  0.588361, Average Loss  0.601640, Time  0.231136
2021-09-15 06:01:22.916961 : Epoch  8, Batch    117, Loss  0.595230, Average Loss  0.603351, Time  0.240832
2021-09-15 06:01:24.288121 : Epoch  9, Batch    270, Loss  0.613245, Average Loss  0.601667, Time  0.231301
2021-09-15 06:01:24.438873 : Epoch  8, Batch    118, Loss  0.609890, Average Loss  0.603339, Time  0.238606
2021-09-15 06:01:25.835345 : Epoch  9, Batch    271, Loss  0.608719, Average Loss  0.601715, Time  0.231669
2021-09-15 06:01:25.961901 : Epoch  8, Batch    119, Loss  0.600984, Average Loss  0.603370, Time  0.240161
2021-09-15 06:01:27.393386 : Epoch  9, Batch    272, Loss  0.615843, Average Loss  0.601794, Time  0.231209
2021-09-15 06:01:27.504841 : Epoch  8, Batch    120, Loss  0.594416, Average Loss  0.603383, Time  0.242653
2021-09-15 06:01:28.944789 : Epoch  9, Batch    273, Loss  0.603914, Average Loss  0.601813, Time  0.231458
2021-09-15 06:01:29.044367 : Epoch  8, Batch    121, Loss  0.604092, Average Loss  0.603393, Time  0.239984
2021-09-15 06:01:30.490691 : Epoch  9, Batch    274, Loss  0.597307, Average Loss  0.601806, Time  0.231470
2021-09-15 06:01:30.565240 : Epoch  8, Batch    122, Loss  0.597871, Average Loss  0.603371, Time  0.238112
2021-09-15 06:01:32.093427 : Epoch  8, Batch    123, Loss  0.600206, Average Loss  0.603350, Time  0.240304
2021-09-15 06:01:33.613866 : Epoch  8, Batch    124, Loss  0.621484, Average Loss  0.603478, Time  0.237874
2021-09-15 06:01:34.425911 : Epoch  9, Batch    275, Loss  0.592692, Average Loss  0.601818, Time  0.263404
2021-09-15 06:01:35.141722 : Epoch  8, Batch    125, Loss  0.613276, Average Loss  0.603523, Time  0.240079
2021-09-15 06:01:35.972923 : Epoch  9, Batch    276, Loss  0.610926, Average Loss  0.601822, Time  0.238210
2021-09-15 06:01:36.688953 : Epoch  8, Batch    126, Loss  0.610982, Average Loss  0.603587, Time  0.239136
2021-09-15 06:01:37.525386 : Epoch  9, Batch    277, Loss  0.603316, Average Loss  0.601848, Time  0.231112
2021-09-15 06:01:38.215810 : Epoch  8, Batch    127, Loss  0.610109, Average Loss  0.603663, Time  0.239246
2021-09-15 06:01:39.065136 : Epoch  9, Batch    278, Loss  0.598301, Average Loss  0.601791, Time  0.231260
2021-09-15 06:01:39.746291 : Epoch  8, Batch    128, Loss  0.601812, Average Loss  0.603679, Time  0.240240
2021-09-15 06:01:40.605315 : Epoch  9, Batch    279, Loss  0.595962, Average Loss  0.601778, Time  0.231772
2021-09-15 06:01:41.283817 : Epoch  8, Batch    129, Loss  0.592482, Average Loss  0.603656, Time  0.239902
2021-09-15 06:01:42.151149 : Epoch  9, Batch    280, Loss  0.588974, Average Loss  0.601728, Time  0.230956
2021-09-15 06:01:42.824987 : Epoch  8, Batch    130, Loss  0.599347, Average Loss  0.603613, Time  0.241564
2021-09-15 06:01:43.703894 : Epoch  9, Batch    281, Loss  0.600779, Average Loss  0.601663, Time  0.231455
2021-09-15 06:01:44.371430 : Epoch  8, Batch    131, Loss  0.606645, Average Loss  0.603623, Time  0.244190
2021-09-15 06:01:45.262025 : Epoch  9, Batch    282, Loss  0.595517, Average Loss  0.601650, Time  0.231469
2021-09-15 06:01:46.054613 : Epoch  8, Batch    132, Loss  0.597581, Average Loss  0.603628, Time  0.257701
2021-09-15 06:01:46.811282 : Epoch  9, Batch    283, Loss  0.606892, Average Loss  0.601708, Time  0.232062
2021-09-15 06:01:47.579097 : Epoch  8, Batch    133, Loss  0.593321, Average Loss  0.603534, Time  0.238534
2021-09-15 06:01:48.353958 : Epoch  9, Batch    284, Loss  0.604646, Average Loss  0.601708, Time  0.231490
2021-09-15 06:01:49.121313 : Epoch  8, Batch    134, Loss  0.595931, Average Loss  0.603498, Time  0.238498
2021-09-15 06:01:49.917833 : Epoch  9, Batch    285, Loss  0.613242, Average Loss  0.601762, Time  0.234244
2021-09-15 06:01:50.661002 : Epoch  8, Batch    135, Loss  0.601862, Average Loss  0.603473, Time  0.241718
2021-09-15 06:01:51.471318 : Epoch  9, Batch    286, Loss  0.592044, Average Loss  0.601630, Time  0.231377
2021-09-15 06:01:52.183998 : Epoch  8, Batch    136, Loss  0.594737, Average Loss  0.603383, Time  0.241106
2021-09-15 06:01:53.007454 : Epoch  9, Batch    287, Loss  0.584661, Average Loss  0.601570, Time  0.231394
2021-09-15 06:01:53.722723 : Epoch  8, Batch    137, Loss  0.601811, Average Loss  0.603361, Time  0.238940
2021-09-15 06:01:54.546626 : Epoch  9, Batch    288, Loss  0.596593, Average Loss  0.601582, Time  0.230850
2021-09-15 06:01:55.257058 : Epoch  8, Batch    138, Loss  0.605687, Average Loss  0.603386, Time  0.239275
2021-09-15 06:01:56.080643 : Epoch  9, Batch    289, Loss  0.598730, Average Loss  0.601564, Time  0.231280
2021-09-15 06:01:56.786362 : Epoch  8, Batch    139, Loss  0.595394, Average Loss  0.603281, Time  0.238165
2021-09-15 06:01:57.622100 : Epoch  9, Batch    290, Loss  0.614450, Average Loss  0.601624, Time  0.231360
2021-09-15 06:01:58.341086 : Epoch  8, Batch    140, Loss  0.601079, Average Loss  0.603282, Time  0.241368
2021-09-15 06:01:59.162914 : Epoch  9, Batch    291, Loss  0.606112, Average Loss  0.601601, Time  0.232457
2021-09-15 06:01:59.874783 : Epoch  8, Batch    141, Loss  0.599443, Average Loss  0.603281, Time  0.239352
2021-09-15 06:02:00.700496 : Epoch  9, Batch    292, Loss  0.608712, Average Loss  0.601636, Time  0.231246
2021-09-15 06:02:01.401669 : Epoch  8, Batch    142, Loss  0.611720, Average Loss  0.603305, Time  0.238293
2021-09-15 06:02:02.242308 : Epoch  9, Batch    293, Loss  0.610895, Average Loss  0.601674, Time  0.231444
2021-09-15 06:02:02.924374 : Epoch  8, Batch    143, Loss  0.602911, Average Loss  0.603309, Time  0.239136
2021-09-15 06:02:03.779517 : Epoch  9, Batch    294, Loss  0.593626, Average Loss  0.601561, Time  0.234219
2021-09-15 06:02:04.452759 : Epoch  8, Batch    144, Loss  0.605535, Average Loss  0.603310, Time  0.241683
2021-09-15 06:02:05.320087 : Epoch  9, Batch    295, Loss  0.599322, Average Loss  0.601587, Time  0.231284
2021-09-15 06:02:05.982052 : Epoch  8, Batch    145, Loss  0.603472, Average Loss  0.603259, Time  0.238700
2021-09-15 06:02:06.858630 : Epoch  9, Batch    296, Loss  0.600227, Average Loss  0.601563, Time  0.231352
2021-09-15 06:02:07.514048 : Epoch  8, Batch    146, Loss  0.610842, Average Loss  0.603259, Time  0.238186
2021-09-15 06:02:08.398899 : Epoch  9, Batch    297, Loss  0.598294, Average Loss  0.601570, Time  0.231754
2021-09-15 06:02:09.049400 : Epoch  8, Batch    147, Loss  0.607018, Average Loss  0.603235, Time  0.240677
2021-09-15 06:02:09.944250 : Epoch  9, Batch    298, Loss  0.598982, Average Loss  0.601575, Time  0.232455
2021-09-15 06:02:10.577835 : Epoch  8, Batch    148, Loss  0.599701, Average Loss  0.603248, Time  0.241868
2021-09-15 06:02:11.477685 : Epoch  9, Batch    299, Loss  0.594411, Average Loss  0.601573, Time  0.230955
2021-09-15 06:02:12.097801 : Epoch  8, Batch    149, Loss  0.605830, Average Loss  0.603233, Time  0.240817
2021-09-15 06:02:13.015497 : Epoch  9, Batch    300, Loss  0.600619, Average Loss  0.601550, Time  0.231971
2021-09-15 06:02:13.625360 : Epoch  8, Batch    150, Loss  0.608653, Average Loss  0.603282, Time  0.240555
2021-09-15 06:02:14.556403 : Epoch  9, Batch    301, Loss  0.605821, Average Loss  0.601636, Time  0.231187
2021-09-15 06:02:15.147945 : Epoch  8, Batch    151, Loss  0.603500, Average Loss  0.603259, Time  0.240616
2021-09-15 06:02:16.099481 : Epoch  9, Batch    302, Loss  0.598124, Average Loss  0.601575, Time  0.236577
2021-09-15 06:02:16.682506 : Epoch  8, Batch    152, Loss  0.589515, Average Loss  0.603226, Time  0.240666
2021-09-15 06:02:17.657864 : Epoch  9, Batch    303, Loss  0.600156, Average Loss  0.601540, Time  0.231384
2021-09-15 06:02:18.229451 : Epoch  8, Batch    153, Loss  0.608636, Average Loss  0.603243, Time  0.241359
2021-09-15 06:02:19.212329 : Epoch  9, Batch    304, Loss  0.606285, Average Loss  0.601546, Time  0.231629
2021-09-15 06:02:19.770861 : Epoch  8, Batch    154, Loss  0.602131, Average Loss  0.603194, Time  0.239740
2021-09-15 06:02:21.304078 : Epoch  8, Batch    155, Loss  0.610260, Average Loss  0.603203, Time  0.240782
2021-09-15 06:02:22.824852 : Epoch  8, Batch    156, Loss  0.605870, Average Loss  0.603254, Time  0.241034
2021-09-15 06:02:24.364079 : Epoch  8, Batch    157, Loss  0.602399, Average Loss  0.603267, Time  0.241485
2021-09-15 06:02:25.895362 : Epoch  8, Batch    158, Loss  0.610060, Average Loss  0.603302, Time  0.240449
2021-09-15 06:02:27.572824 : Epoch  8, Batch    159, Loss  0.599265, Average Loss  0.603279, Time  0.257491
2021-09-15 06:02:29.111810 : Epoch  8, Batch    160, Loss  0.606228, Average Loss  0.603259, Time  0.239142
2021-09-15 06:02:30.649235 : Epoch  8, Batch    161, Loss  0.611079, Average Loss  0.603292, Time  0.240875
2021-09-15 06:02:34.774887 : Epoch  8, Batch    162, Loss  0.603251, Average Loss  0.603293, Time  0.293126
2021-09-15 06:02:36.464994 : Epoch  8, Batch    163, Loss  0.605639, Average Loss  0.603321, Time  0.269812
2021-09-15 06:02:38.148356 : Epoch  8, Batch    164, Loss  0.613814, Average Loss  0.603313, Time  0.259348
2021-09-15 06:02:39.822777 : Epoch  8, Batch    165, Loss  0.611276, Average Loss  0.603356, Time  0.257959
2021-09-15 06:02:41.348908 : Epoch  8, Batch    166, Loss  0.610547, Average Loss  0.603354, Time  0.240885
2021-09-15 06:02:42.869140 : Epoch  8, Batch    167, Loss  0.618004, Average Loss  0.603465, Time  0.240326
2021-09-15 06:02:44.411454 : Epoch  8, Batch    168, Loss  0.613843, Average Loss  0.603525, Time  0.241302
2021-09-15 06:02:45.950006 : Epoch  8, Batch    169, Loss  0.611261, Average Loss  0.603623, Time  0.237237
2021-09-15 06:02:47.476170 : Epoch  8, Batch    170, Loss  0.612062, Average Loss  0.603686, Time  0.238685
2021-09-15 06:02:49.011395 : Epoch  8, Batch    171, Loss  0.604100, Average Loss  0.603684, Time  0.240169
2021-09-15 06:02:50.686152 : Epoch  8, Batch    172, Loss  0.610911, Average Loss  0.603732, Time  0.259396
2021-09-15 06:02:52.372410 : Epoch  8, Batch    173, Loss  0.596782, Average Loss  0.603685, Time  0.259479
2021-09-15 06:02:54.071841 : Epoch  8, Batch    174, Loss  0.596675, Average Loss  0.603620, Time  0.258590
2021-09-15 06:02:55.755981 : Epoch  8, Batch    175, Loss  0.601776, Average Loss  0.603635, Time  0.258522
2021-09-15 06:02:57.434452 : Epoch  8, Batch    176, Loss  0.591347, Average Loss  0.603567, Time  0.260519
2021-09-15 06:02:59.123843 : Epoch  8, Batch    177, Loss  0.603844, Average Loss  0.603572, Time  0.258765
2021-09-15 06:03:00.671751 : Epoch  8, Batch    178, Loss  0.599013, Average Loss  0.603534, Time  0.242736
2021-09-15 06:03:02.352564 : Epoch  8, Batch    179, Loss  0.606982, Average Loss  0.603592, Time  0.260015
2021-09-15 06:03:03.883783 : Epoch  8, Batch    180, Loss  0.596488, Average Loss  0.603587, Time  0.238090
2021-09-15 06:03:05.573560 : Epoch  8, Batch    181, Loss  0.608108, Average Loss  0.603606, Time  0.257790
2021-09-15 06:03:07.112043 : Epoch  8, Batch    182, Loss  0.608663, Average Loss  0.603592, Time  0.241249
2021-09-15 06:03:08.640776 : Epoch  8, Batch    183, Loss  0.586443, Average Loss  0.603545, Time  0.239068
2021-09-15 06:03:10.319420 : Epoch  8, Batch    184, Loss  0.609902, Average Loss  0.603612, Time  0.257020
2021-09-15 06:03:12.015248 : Epoch  8, Batch    185, Loss  0.611833, Average Loss  0.603624, Time  0.258788
2021-09-15 06:03:13.698488 : Epoch  8, Batch    186, Loss  0.602499, Average Loss  0.603587, Time  0.259295
2021-09-15 06:03:15.221549 : Epoch  8, Batch    187, Loss  0.610937, Average Loss  0.603608, Time  0.238734
2021-09-15 06:03:16.891768 : Epoch  8, Batch    188, Loss  0.592324, Average Loss  0.603609, Time  0.256674
2021-09-15 06:03:17.031725 : CheckPoint: Validation Loss  0.00025144, Best Loss  0.00024467
2021-09-15 06:03:18.466530 : Epoch  8, Batch    189, Loss  0.598054, Average Loss  0.603612, Time  0.238571
2021-09-15 06:03:18.611959 : Epoch  9, Batch    305, Loss  0.596072, Average Loss  0.601577, Time  0.267432
2021-09-15 06:03:20.016042 : Epoch  8, Batch    190, Loss  0.592637, Average Loss  0.603587, Time  0.239752
2021-09-15 06:03:20.151315 : Epoch  9, Batch    306, Loss  0.598724, Average Loss  0.601532, Time  0.230491
2021-09-15 06:03:21.537441 : Epoch  8, Batch    191, Loss  0.600499, Average Loss  0.603567, Time  0.236458
2021-09-15 06:03:21.701292 : Epoch  9, Batch    307, Loss  0.594526, Average Loss  0.601473, Time  0.231204
2021-09-15 06:03:23.241333 : Epoch  9, Batch    308, Loss  0.607314, Average Loss  0.601518, Time  0.231128
2021-09-15 06:03:24.781255 : Epoch  9, Batch    309, Loss  0.604258, Average Loss  0.601497, Time  0.231394
2021-09-15 06:03:26.321529 : Epoch  9, Batch    310, Loss  0.602472, Average Loss  0.601477, Time  0.231095
2021-09-15 06:03:27.860122 : Epoch  9, Batch    311, Loss  0.604377, Average Loss  0.601459, Time  0.231937
2021-09-15 06:03:29.398608 : Epoch  9, Batch    312, Loss  0.604676, Average Loss  0.601532, Time  0.231935
2021-09-15 06:03:30.942881 : Epoch  9, Batch    313, Loss  0.594248, Average Loss  0.601520, Time  0.231768
2021-09-15 06:03:32.485404 : Epoch  9, Batch    314, Loss  0.600551, Average Loss  0.601506, Time  0.233186
2021-09-15 06:03:34.029998 : Epoch  9, Batch    315, Loss  0.596012, Average Loss  0.601471, Time  0.231230
2021-09-15 06:03:35.566441 : Epoch  9, Batch    316, Loss  0.598849, Average Loss  0.601358, Time  0.231771
2021-09-15 06:03:37.112977 : Epoch  9, Batch    317, Loss  0.597128, Average Loss  0.601323, Time  0.231955
2021-09-15 06:03:38.660077 : Epoch  9, Batch    318, Loss  0.591857, Average Loss  0.601223, Time  0.232716
2021-09-15 06:03:40.206657 : Epoch  9, Batch    319, Loss  0.606608, Average Loss  0.601213, Time  0.231126
2021-09-15 06:03:41.743639 : Epoch  9, Batch    320, Loss  0.614865, Average Loss  0.601274, Time  0.231398
2021-09-15 06:03:43.279370 : Epoch  9, Batch    321, Loss  0.589364, Average Loss  0.601197, Time  0.231091
2021-09-15 06:03:44.823678 : Epoch  9, Batch    322, Loss  0.598928, Average Loss  0.601186, Time  0.230902
2021-09-15 06:03:46.357366 : Epoch  9, Batch    323, Loss  0.604834, Average Loss  0.601255, Time  0.231943
2021-09-15 06:03:47.895222 : Epoch  9, Batch    324, Loss  0.601337, Average Loss  0.601238, Time  0.231832
2021-09-15 06:03:49.435085 : Epoch  9, Batch    325, Loss  0.601907, Average Loss  0.601252, Time  0.231979
2021-09-15 06:03:50.985111 : Epoch  9, Batch    326, Loss  0.603650, Average Loss  0.601254, Time  0.231493
2021-09-15 06:03:52.517112 : Epoch  9, Batch    327, Loss  0.601793, Average Loss  0.601245, Time  0.231220
2021-09-15 06:03:54.050228 : Epoch  9, Batch    328, Loss  0.599568, Average Loss  0.601222, Time  0.231405
2021-09-15 06:03:55.596371 : Epoch  9, Batch    329, Loss  0.592527, Average Loss  0.601163, Time  0.234949
2021-09-15 06:03:57.136291 : Epoch  9, Batch    330, Loss  0.595621, Average Loss  0.601194, Time  0.230993
2021-09-15 06:03:58.673653 : Epoch  9, Batch    331, Loss  0.578636, Average Loss  0.601112, Time  0.231250
2021-09-15 06:04:00.220659 : Epoch  9, Batch    332, Loss  0.599945, Average Loss  0.601029, Time  0.231907
2021-09-15 06:04:01.771102 : Epoch  9, Batch    333, Loss  0.590927, Average Loss  0.600979, Time  0.231874
2021-09-15 06:04:03.317111 : Epoch  9, Batch    334, Loss  0.599204, Average Loss  0.600995, Time  0.231246
2021-09-15 06:04:04.866385 : Epoch  9, Batch    335, Loss  0.611111, Average Loss  0.601052, Time  0.231462
2021-09-15 06:04:06.409370 : Epoch  9, Batch    336, Loss  0.591518, Average Loss  0.601067, Time  0.231412
2021-09-15 06:04:07.962172 : Epoch  9, Batch    337, Loss  0.607215, Average Loss  0.601131, Time  0.233971
2021-09-15 06:04:09.501363 : Epoch  9, Batch    338, Loss  0.590283, Average Loss  0.601095, Time  0.231389
2021-09-15 06:04:11.035157 : Epoch  9, Batch    339, Loss  0.593708, Average Loss  0.601014, Time  0.231193
2021-09-15 06:04:12.571242 : Epoch  9, Batch    340, Loss  0.609151, Average Loss  0.601037, Time  0.231197
2021-09-15 06:04:14.112531 : Epoch  9, Batch    341, Loss  0.601807, Average Loss  0.601058, Time  0.231406
2021-09-15 06:04:15.684041 : Epoch  9, Batch    342, Loss  0.602376, Average Loss  0.601041, Time  0.231409
2021-09-15 06:04:16.889259 : CheckPoint: Validation Loss  0.00030323, Best Loss  0.00029571
2021-09-15 06:04:17.238637 : Epoch  9, Batch    343, Loss  0.590088, Average Loss  0.601053, Time  0.231896
2021-09-15 06:04:18.593204 : CheckPoint: Validation Loss  0.00024948, Best Loss  0.00024341
2021-09-15 06:04:18.785372 : Epoch  9, Batch    344, Loss  0.605016, Average Loss  0.601114, Time  0.231296
2021-09-15 06:04:19.888422 : Epoch  2, Batch    545, Loss  0.850888, Average Loss  0.869225, Time  0.265902
2021-09-15 06:04:20.157055 : Epoch  8, Batch    192, Loss  0.618176, Average Loss  0.603659, Time  0.275162
2021-09-15 06:04:20.331125 : Epoch  9, Batch    345, Loss  0.614625, Average Loss  0.601192, Time  0.231553
2021-09-15 06:04:21.874344 : Epoch  9, Batch    346, Loss  0.615544, Average Loss  0.601333, Time  0.231488
2021-09-15 06:04:21.900893 : Epoch  8, Batch    193, Loss  0.604858, Average Loss  0.603702, Time  0.276016
2021-09-15 06:04:22.914976 : Epoch  2, Batch    546, Loss  0.867745, Average Loss  0.869136, Time  0.277141
2021-09-15 06:04:23.410104 : Epoch  9, Batch    347, Loss  0.606142, Average Loss  0.601303, Time  0.232625
2021-09-15 06:04:23.437893 : Epoch  8, Batch    194, Loss  0.601066, Average Loss  0.603676, Time  0.241437
2021-09-15 06:04:24.947426 : Epoch  9, Batch    348, Loss  0.596534, Average Loss  0.601206, Time  0.232319
2021-09-15 06:04:24.980007 : Epoch  8, Batch    195, Loss  0.599044, Average Loss  0.603652, Time  0.239365
2021-09-15 06:04:25.909935 : Epoch  2, Batch    547, Loss  0.860052, Average Loss  0.869049, Time  0.265902
2021-09-15 06:04:26.491268 : Epoch  9, Batch    349, Loss  0.596345, Average Loss  0.601124, Time  0.231967
2021-09-15 06:04:26.541835 : Epoch  8, Batch    196, Loss  0.601224, Average Loss  0.603636, Time  0.238220
2021-09-15 06:04:28.052501 : Epoch  9, Batch    350, Loss  0.601446, Average Loss  0.601164, Time  0.231736
2021-09-15 06:04:28.083818 : Epoch  8, Batch    197, Loss  0.611671, Average Loss  0.603659, Time  0.240817
2021-09-15 06:04:28.954019 : Epoch  2, Batch    548, Loss  0.905564, Average Loss  0.869229, Time  0.266207
2021-09-15 06:04:29.593325 : Epoch  9, Batch    351, Loss  0.603922, Average Loss  0.601169, Time  0.231696
2021-09-15 06:04:29.624098 : Epoch  8, Batch    198, Loss  0.592285, Average Loss  0.603612, Time  0.239011
2021-09-15 06:04:31.132542 : Epoch  9, Batch    352, Loss  0.608108, Average Loss  0.601151, Time  0.231501
2021-09-15 06:04:31.168045 : Epoch  8, Batch    199, Loss  0.605978, Average Loss  0.603641, Time  0.239914
2021-09-15 06:04:31.975685 : Epoch  2, Batch    549, Loss  0.870519, Average Loss  0.869139, Time  0.265723
2021-09-15 06:04:32.681033 : Epoch  9, Batch    353, Loss  0.610964, Average Loss  0.601263, Time  0.230993
2021-09-15 06:04:32.712334 : Epoch  8, Batch    200, Loss  0.601560, Average Loss  0.603593, Time  0.236606
2021-09-15 06:04:34.224578 : Epoch  9, Batch    354, Loss  0.604104, Average Loss  0.601275, Time  0.231333
2021-09-15 06:04:34.249195 : Epoch  8, Batch    201, Loss  0.601139, Average Loss  0.603563, Time  0.236815
2021-09-15 06:04:34.979508 : Epoch  2, Batch    550, Loss  0.906704, Average Loss  0.869424, Time  0.266402
2021-09-15 06:04:35.765951 : Epoch  9, Batch    355, Loss  0.604006, Average Loss  0.601303, Time  0.231077
2021-09-15 06:04:35.797251 : Epoch  8, Batch    202, Loss  0.605117, Average Loss  0.603574, Time  0.242829
2021-09-15 06:04:37.299592 : Epoch  9, Batch    356, Loss  0.600951, Average Loss  0.601313, Time  0.231821
2021-09-15 06:04:37.336872 : Epoch  8, Batch    203, Loss  0.594361, Average Loss  0.603504, Time  0.239268
2021-09-15 06:04:38.002352 : Epoch  2, Batch    551, Loss  0.862692, Average Loss  0.869282, Time  0.265529
2021-09-15 06:04:38.845492 : Epoch  9, Batch    357, Loss  0.599370, Average Loss  0.601292, Time  0.231433
2021-09-15 06:04:39.029430 : Epoch  8, Batch    204, Loss  0.606200, Average Loss  0.603548, Time  0.260379
2021-09-15 06:04:40.381429 : Epoch  9, Batch    358, Loss  0.611658, Average Loss  0.601352, Time  0.231058
2021-09-15 06:04:40.717384 : Epoch  8, Batch    205, Loss  0.608659, Average Loss  0.603499, Time  0.260430
2021-09-15 06:04:41.000360 : Epoch  2, Batch    552, Loss  0.890710, Average Loss  0.869344, Time  0.265277
2021-09-15 06:04:41.924766 : Epoch  9, Batch    359, Loss  0.595957, Average Loss  0.601354, Time  0.231184
2021-09-15 06:04:42.399032 : Epoch  8, Batch    206, Loss  0.605101, Average Loss  0.603531, Time  0.258524
2021-09-15 06:04:43.463122 : Epoch  9, Batch    360, Loss  0.589903, Average Loss  0.601323, Time  0.231026
2021-09-15 06:04:43.955120 : Epoch  8, Batch    207, Loss  0.605839, Average Loss  0.603636, Time  0.240888
2021-09-15 06:04:43.998476 : Epoch  2, Batch    553, Loss  0.887742, Average Loss  0.869423, Time  0.264700
2021-09-15 06:04:45.000416 : Epoch  9, Batch    361, Loss  0.597878, Average Loss  0.601312, Time  0.231116
2021-09-15 06:04:45.641926 : Epoch  8, Batch    208, Loss  0.596041, Average Loss  0.603536, Time  0.258918
2021-09-15 06:04:46.544261 : Epoch  9, Batch    362, Loss  0.591097, Average Loss  0.601265, Time  0.231798
2021-09-15 06:04:47.003805 : Epoch  2, Batch    554, Loss  0.864353, Average Loss  0.869368, Time  0.265048
2021-09-15 06:04:47.326959 : Epoch  8, Batch    209, Loss  0.600903, Average Loss  0.603514, Time  0.259968
2021-09-15 06:04:48.084861 : Epoch  9, Batch    363, Loss  0.597156, Average Loss  0.601256, Time  0.231535
2021-09-15 06:04:49.013983 : Epoch  8, Batch    210, Loss  0.605745, Average Loss  0.603541, Time  0.258093
2021-09-15 06:04:49.621596 : Epoch  9, Batch    364, Loss  0.610304, Average Loss  0.601315, Time  0.231672
2021-09-15 06:04:49.953212 : Epoch  2, Batch    555, Loss  0.869028, Average Loss  0.869375, Time  0.264426
2021-09-15 06:04:50.710476 : Epoch  8, Batch    211, Loss  0.599430, Average Loss  0.603543, Time  0.258091
2021-09-15 06:04:51.162910 : Epoch  9, Batch    365, Loss  0.599881, Average Loss  0.601312, Time  0.231254
2021-09-15 06:04:52.387391 : Epoch  8, Batch    212, Loss  0.593880, Average Loss  0.603490, Time  0.257402
2021-09-15 06:04:52.699663 : Epoch  9, Batch    366, Loss  0.605430, Average Loss  0.601274, Time  0.231228
2021-09-15 06:04:52.881469 : Epoch  2, Batch    556, Loss  0.861938, Average Loss  0.869281, Time  0.265665
2021-09-15 06:04:53.928839 : Epoch  8, Batch    213, Loss  0.604611, Average Loss  0.603446, Time  0.241566
2021-09-15 06:04:54.241748 : Epoch  9, Batch    367, Loss  0.608813, Average Loss  0.601309, Time  0.233282
2021-09-15 06:04:55.462125 : Epoch  8, Batch    214, Loss  0.602375, Average Loss  0.603451, Time  0.239378
2021-09-15 06:04:55.777300 : Epoch  9, Batch    368, Loss  0.612694, Average Loss  0.601428, Time  0.231166
2021-09-15 06:04:55.948104 : Epoch  2, Batch    557, Loss  0.858087, Average Loss  0.869206, Time  0.264901
2021-09-15 06:04:57.140892 : Epoch  8, Batch    215, Loss  0.601924, Average Loss  0.603441, Time  0.260476
2021-09-15 06:04:57.310249 : Epoch  9, Batch    369, Loss  0.599494, Average Loss  0.601428, Time  0.231471
2021-09-15 06:04:58.692975 : Epoch  8, Batch    216, Loss  0.607251, Average Loss  0.603399, Time  0.240182
2021-09-15 06:04:58.851417 : Epoch  9, Batch    370, Loss  0.600449, Average Loss  0.601400, Time  0.231913
2021-09-15 06:04:58.938573 : Epoch  2, Batch    558, Loss  0.872866, Average Loss  0.869090, Time  0.264437
2021-09-15 06:05:00.219043 : Epoch  8, Batch    217, Loss  0.602223, Average Loss  0.603366, Time  0.238165
2021-09-15 06:05:00.386609 : Epoch  9, Batch    371, Loss  0.615271, Average Loss  0.601492, Time  0.231206
2021-09-15 06:05:01.743217 : Epoch  8, Batch    218, Loss  0.605322, Average Loss  0.603339, Time  0.236999
2021-09-15 06:05:01.932340 : Epoch  9, Batch    372, Loss  0.602634, Average Loss  0.601483, Time  0.231219
2021-09-15 06:05:01.955412 : Epoch  2, Batch    559, Loss  0.863896, Average Loss  0.869055, Time  0.266078
2021-09-15 06:05:03.272131 : Epoch  8, Batch    219, Loss  0.612273, Average Loss  0.603384, Time  0.239355
2021-09-15 06:05:03.481866 : Epoch  9, Batch    373, Loss  0.599080, Average Loss  0.601418, Time  0.232196
2021-09-15 06:05:04.801814 : Epoch  8, Batch    220, Loss  0.601917, Average Loss  0.603413, Time  0.238802
2021-09-15 06:05:04.956505 : Epoch  2, Batch    560, Loss  0.874504, Average Loss  0.869115, Time  0.265421
2021-09-15 06:05:05.021407 : Epoch  9, Batch    374, Loss  0.601496, Average Loss  0.601455, Time  0.231192
2021-09-15 06:05:06.329409 : Epoch  8, Batch    221, Loss  0.614517, Average Loss  0.603454, Time  0.240424
2021-09-15 06:05:07.872003 : Epoch  8, Batch    222, Loss  0.615899, Average Loss  0.603533, Time  0.239777
2021-09-15 06:05:07.968239 : Epoch  2, Batch    561, Loss  0.876696, Average Loss  0.869094, Time  0.279256
2021-09-15 06:05:08.959407 : Epoch  9, Batch    375, Loss  0.615779, Average Loss  0.601565, Time  0.262582
2021-09-15 06:05:09.421457 : Epoch  8, Batch    223, Loss  0.602867, Average Loss  0.603483, Time  0.239190
2021-09-15 06:05:10.499018 : Epoch  9, Batch    376, Loss  0.605683, Average Loss  0.601588, Time  0.238111
2021-09-15 06:05:10.938828 : Epoch  8, Batch    224, Loss  0.605807, Average Loss  0.603526, Time  0.238786
2021-09-15 06:05:10.957746 : Epoch  2, Batch    562, Loss  0.864797, Average Loss  0.869179, Time  0.265726
2021-09-15 06:05:12.037399 : Epoch  9, Batch    377, Loss  0.607812, Average Loss  0.601581, Time  0.231580
2021-09-15 06:05:12.457092 : Epoch  8, Batch    225, Loss  0.606248, Average Loss  0.603571, Time  0.239873
2021-09-15 06:05:13.572586 : Epoch  9, Batch    378, Loss  0.601634, Average Loss  0.601603, Time  0.230957
2021-09-15 06:05:13.950715 : Epoch  2, Batch    563, Loss  0.877630, Average Loss  0.869192, Time  0.265587
2021-09-15 06:05:13.999839 : Epoch  8, Batch    226, Loss  0.602006, Average Loss  0.603559, Time  0.243144
2021-09-15 06:05:15.118149 : Epoch  9, Batch    379, Loss  0.583925, Average Loss  0.601529, Time  0.234421
2021-09-15 06:05:15.552841 : Epoch  8, Batch    227, Loss  0.610182, Average Loss  0.603595, Time  0.241335
2021-09-15 06:05:16.658229 : Epoch  9, Batch    380, Loss  0.596362, Average Loss  0.601463, Time  0.232193
2021-09-15 06:05:16.954901 : Epoch  2, Batch    564, Loss  0.888521, Average Loss  0.869263, Time  0.264908
2021-09-15 06:05:17.078016 : Epoch  8, Batch    228, Loss  0.605443, Average Loss  0.603575, Time  0.237956
2021-09-15 06:05:18.194178 : Epoch  9, Batch    381, Loss  0.601438, Average Loss  0.601452, Time  0.231534
2021-09-15 06:05:18.591368 : Epoch  8, Batch    229, Loss  0.582774, Average Loss  0.603459, Time  0.238128
2021-09-15 06:05:19.734590 : Epoch  9, Batch    382, Loss  0.595272, Average Loss  0.601473, Time  0.231580
2021-09-15 06:05:19.949074 : Epoch  2, Batch    565, Loss  0.864028, Average Loss  0.869337, Time  0.264463
2021-09-15 06:05:20.111971 : Epoch  8, Batch    230, Loss  0.599279, Average Loss  0.603456, Time  0.240519
2021-09-15 06:05:21.272344 : Epoch  9, Batch    383, Loss  0.602595, Average Loss  0.601507, Time  0.231314
2021-09-15 06:05:21.644454 : Epoch  8, Batch    231, Loss  0.599237, Average Loss  0.603462, Time  0.241313
2021-09-15 06:05:22.811677 : Epoch  9, Batch    384, Loss  0.601807, Average Loss  0.601571, Time  0.231220
2021-09-15 06:05:22.987070 : Epoch  2, Batch    566, Loss  0.864977, Average Loss  0.869349, Time  0.266331
2021-09-15 06:05:23.169688 : Epoch  8, Batch    232, Loss  0.600147, Average Loss  0.603406, Time  0.238225
2021-09-15 06:05:24.347945 : Epoch  9, Batch    385, Loss  0.601750, Average Loss  0.601590, Time  0.232029
2021-09-15 06:05:24.764750 : Epoch  8, Batch    233, Loss  0.606386, Average Loss  0.603434, Time  0.241988
2021-09-15 06:05:25.885466 : Epoch  9, Batch    386, Loss  0.597512, Average Loss  0.601552, Time  0.231384
2021-09-15 06:05:26.038851 : Epoch  2, Batch    567, Loss  0.881507, Average Loss  0.869438, Time  0.265558
2021-09-15 06:05:26.289836 : Epoch  8, Batch    234, Loss  0.602765, Average Loss  0.603400, Time  0.240532
2021-09-15 06:05:27.427427 : Epoch  9, Batch    387, Loss  0.603112, Average Loss  0.601586, Time  0.231577
2021-09-15 06:05:27.809755 : Epoch  8, Batch    235, Loss  0.597597, Average Loss  0.603383, Time  0.239402
2021-09-15 06:05:28.963351 : Epoch  9, Batch    388, Loss  0.605643, Average Loss  0.601557, Time  0.232752
2021-09-15 06:05:29.041522 : Epoch  2, Batch    568, Loss  0.875601, Average Loss  0.869538, Time  0.265307
2021-09-15 06:05:29.353967 : Epoch  8, Batch    236, Loss  0.601876, Average Loss  0.603379, Time  0.242280
2021-09-15 06:05:30.500913 : Epoch  9, Batch    389, Loss  0.603456, Average Loss  0.601570, Time  0.232078
2021-09-15 06:05:30.873796 : Epoch  8, Batch    237, Loss  0.604643, Average Loss  0.603398, Time  0.241239
2021-09-15 06:05:32.040094 : Epoch  9, Batch    390, Loss  0.586238, Average Loss  0.601458, Time  0.231399
2021-09-15 06:05:32.057986 : Epoch  2, Batch    569, Loss  0.872675, Average Loss  0.869497, Time  0.266854
2021-09-15 06:05:32.395965 : Epoch  8, Batch    238, Loss  0.598738, Average Loss  0.603328, Time  0.238810
2021-09-15 06:05:33.578358 : Epoch  9, Batch    391, Loss  0.603427, Average Loss  0.601400, Time  0.231599
2021-09-15 06:05:34.084893 : Epoch  8, Batch    239, Loss  0.598020, Average Loss  0.603306, Time  0.259670
2021-09-15 06:05:35.106856 : Epoch  2, Batch    570, Loss  0.870441, Average Loss  0.869484, Time  0.265508
2021-09-15 06:05:35.113998 : Epoch  9, Batch    392, Loss  0.600150, Average Loss  0.601395, Time  0.231371
2021-09-15 06:05:35.610409 : Epoch  8, Batch    240, Loss  0.608845, Average Loss  0.603294, Time  0.238813
2021-09-15 06:05:36.707154 : Epoch  9, Batch    393, Loss  0.604562, Average Loss  0.601401, Time  0.236555
2021-09-15 06:05:37.130377 : Epoch  8, Batch    241, Loss  0.605237, Average Loss  0.603269, Time  0.241057
2021-09-15 06:05:38.115682 : Epoch  2, Batch    571, Loss  0.858445, Average Loss  0.869533, Time  0.265616
2021-09-15 06:05:38.275711 : Epoch  9, Batch    394, Loss  0.600370, Average Loss  0.601394, Time  0.234031
2021-09-15 06:05:38.665045 : Epoch  8, Batch    242, Loss  0.583450, Average Loss  0.603117, Time  0.241390
2021-09-15 06:05:39.836908 : Epoch  9, Batch    395, Loss  0.611734, Average Loss  0.601406, Time  0.231758
2021-09-15 06:05:40.194299 : Epoch  8, Batch    243, Loss  0.596786, Average Loss  0.603108, Time  0.239645
2021-09-15 06:05:41.145855 : Epoch  2, Batch    572, Loss  0.882533, Average Loss  0.869521, Time  0.265183
2021-09-15 06:05:41.403799 : Epoch  9, Batch    396, Loss  0.606926, Average Loss  0.601401, Time  0.232173
2021-09-15 06:05:41.715052 : Epoch  8, Batch    244, Loss  0.604891, Average Loss  0.603122, Time  0.240273
2021-09-15 06:05:42.940871 : Epoch  9, Batch    397, Loss  0.591714, Average Loss  0.601368, Time  0.231652
2021-09-15 06:05:43.391959 : Epoch  8, Batch    245, Loss  0.580874, Average Loss  0.603033, Time  0.259048
2021-09-15 06:05:44.190385 : Epoch  2, Batch    573, Loss  0.860467, Average Loss  0.869410, Time  0.267278
2021-09-15 06:05:44.493962 : Epoch  9, Batch    398, Loss  0.609286, Average Loss  0.601417, Time  0.233182
2021-09-15 06:05:45.078954 : Epoch  8, Batch    246, Loss  0.599591, Average Loss  0.603044, Time  0.260092
2021-09-15 06:05:46.050093 : Epoch  9, Batch    399, Loss  0.585161, Average Loss  0.601355, Time  0.232280
2021-09-15 06:05:46.636506 : Epoch  8, Batch    247, Loss  0.596587, Average Loss  0.603067, Time  0.258176
2021-09-15 06:05:47.191572 : Epoch  2, Batch    574, Loss  0.847712, Average Loss  0.869257, Time  0.264612
2021-09-15 06:05:47.603491 : Epoch  9, Batch    400, Loss  0.605977, Average Loss  0.601351, Time  0.231916
2021-09-15 06:05:48.319445 : Epoch  8, Batch    248, Loss  0.602246, Average Loss  0.603009, Time  0.258971
2021-09-15 06:05:49.153223 : Epoch  9, Batch    401, Loss  0.599597, Average Loss  0.601382, Time  0.232077
2021-09-15 06:05:49.993401 : Epoch  8, Batch    249, Loss  0.604469, Average Loss  0.603048, Time  0.260386
2021-09-15 06:05:50.195084 : Epoch  2, Batch    575, Loss  0.890818, Average Loss  0.869367, Time  0.264726
2021-09-15 06:05:50.699252 : Epoch  9, Batch    402, Loss  0.603270, Average Loss  0.601482, Time  0.231329
2021-09-15 06:05:51.537889 : Epoch  8, Batch    250, Loss  0.595701, Average Loss  0.603009, Time  0.241658
2021-09-15 06:05:52.245000 : Epoch  9, Batch    403, Loss  0.598872, Average Loss  0.601498, Time  0.231421
2021-09-15 06:05:53.065405 : Epoch  8, Batch    251, Loss  0.604900, Average Loss  0.603013, Time  0.239560
2021-09-15 06:05:53.208280 : Epoch  2, Batch    576, Loss  0.864370, Average Loss  0.869270, Time  0.274496
2021-09-15 06:05:53.803395 : Epoch  9, Batch    404, Loss  0.604977, Average Loss  0.601496, Time  0.231878
2021-09-15 06:05:54.591037 : Epoch  8, Batch    252, Loss  0.599800, Average Loss  0.602929, Time  0.240326
2021-09-15 06:05:56.124145 : Epoch  8, Batch    253, Loss  0.610767, Average Loss  0.602940, Time  0.239194
2021-09-15 06:05:56.211969 : Epoch  2, Batch    577, Loss  0.861345, Average Loss  0.869288, Time  0.265319
2021-09-15 06:05:57.677128 : Epoch  8, Batch    254, Loss  0.594736, Average Loss  0.602895, Time  0.243369
2021-09-15 06:05:59.232183 : Epoch  2, Batch    578, Loss  0.859320, Average Loss  0.869258, Time  0.265567
2021-09-15 06:05:59.366127 : Epoch  8, Batch    255, Loss  0.603102, Average Loss  0.602832, Time  0.258965
2021-09-15 06:06:00.884573 : Epoch  8, Batch    256, Loss  0.606480, Average Loss  0.602820, Time  0.238415
2021-09-15 06:06:02.240544 : Epoch  2, Batch    579, Loss  0.872510, Average Loss  0.869207, Time  0.265425
2021-09-15 06:06:02.400357 : Epoch  8, Batch    257, Loss  0.603620, Average Loss  0.602827, Time  0.238378
2021-09-15 06:06:04.080852 : Epoch  8, Batch    258, Loss  0.608969, Average Loss  0.602868, Time  0.259121
2021-09-15 06:06:05.267639 : Epoch  2, Batch    580, Loss  0.837221, Average Loss  0.869100, Time  0.264578
2021-09-15 06:06:05.774516 : Epoch  8, Batch    259, Loss  0.612788, Average Loss  0.603697, Time  0.259586
2021-09-15 06:06:07.333778 : Epoch  8, Batch    260, Loss  0.595264, Average Loss  0.603668, Time  0.241163
2021-09-15 06:06:08.340175 : Epoch  2, Batch    581, Loss  0.886323, Average Loss  0.869235, Time  0.266603
2021-09-15 06:06:08.854323 : Epoch  8, Batch    261, Loss  0.606868, Average Loss  0.603656, Time  0.238758
2021-09-15 06:06:11.353344 : Epoch  2, Batch    582, Loss  0.881269, Average Loss  0.869195, Time  0.265963
2021-09-15 06:06:13.036190 : Epoch  8, Batch    262, Loss  0.599875, Average Loss  0.603624, Time  0.271542
2021-09-15 06:06:14.396535 : Epoch  2, Batch    583, Loss  0.861288, Average Loss  0.869158, Time  0.264837
2021-09-15 06:06:14.582371 : Epoch  8, Batch    263, Loss  0.612960, Average Loss  0.603611, Time  0.242324
2021-09-15 06:06:16.245909 : Epoch  8, Batch    264, Loss  0.607140, Average Loss  0.603553, Time  0.259505
2021-09-15 06:06:17.406666 : Epoch  2, Batch    584, Loss  0.859780, Average Loss  0.869112, Time  0.265425
2021-09-15 06:06:17.936995 : Epoch  8, Batch    265, Loss  0.595455, Average Loss  0.603498, Time  0.258928
2021-09-15 06:06:19.634424 : Epoch  8, Batch    266, Loss  0.608536, Average Loss  0.603495, Time  0.257822
2021-09-15 06:06:20.402697 : Epoch  2, Batch    585, Loss  0.898368, Average Loss  0.869204, Time  0.265015
2021-09-15 06:06:21.318861 : Epoch  8, Batch    267, Loss  0.606295, Average Loss  0.603558, Time  0.256688
2021-09-15 06:06:22.851102 : Epoch  8, Batch    268, Loss  0.598513, Average Loss  0.603562, Time  0.238896
2021-09-15 06:06:23.398137 : Epoch  2, Batch    586, Loss  0.877613, Average Loss  0.869308, Time  0.264975
2021-09-15 06:06:24.391229 : Epoch  8, Batch    269, Loss  0.604695, Average Loss  0.603596, Time  0.239237
2021-09-15 06:06:25.938540 : Epoch  8, Batch    270, Loss  0.608077, Average Loss  0.603588, Time  0.239275
2021-09-15 06:06:26.426769 : Epoch  2, Batch    587, Loss  0.857583, Average Loss  0.869289, Time  0.265623
2021-09-15 06:06:27.462821 : Epoch  8, Batch    271, Loss  0.601099, Average Loss  0.603527, Time  0.240462
2021-09-15 06:06:28.987809 : Epoch  8, Batch    272, Loss  0.606584, Average Loss  0.603529, Time  0.239070
2021-09-15 06:06:29.422932 : Epoch  2, Batch    588, Loss  0.878208, Average Loss  0.869286, Time  0.266257
2021-09-15 06:06:30.530181 : Epoch  8, Batch    273, Loss  0.591327, Average Loss  0.603417, Time  0.241688
2021-09-15 06:06:32.227927 : Epoch  8, Batch    274, Loss  0.601038, Average Loss  0.603330, Time  0.258424
2021-09-15 06:06:32.402142 : Epoch  2, Batch    589, Loss  0.881698, Average Loss  0.869295, Time  0.264734
2021-09-15 06:06:33.767863 : Epoch  8, Batch    275, Loss  0.600224, Average Loss  0.603312, Time  0.240983
2021-09-15 06:06:35.299346 : Epoch  8, Batch    276, Loss  0.612033, Average Loss  0.603350, Time  0.238636
2021-09-15 06:06:35.397997 : Epoch  2, Batch    590, Loss  0.881025, Average Loss  0.869283, Time  0.266388
2021-09-15 06:06:36.990870 : Epoch  8, Batch    277, Loss  0.607706, Average Loss  0.603325, Time  0.258035
2021-09-15 06:06:38.428768 : Epoch  2, Batch    591, Loss  0.878701, Average Loss  0.869410, Time  0.276412
2021-09-15 06:06:38.680127 : Epoch  8, Batch    278, Loss  0.621697, Average Loss  0.603466, Time  0.258514
2021-09-15 06:06:40.198975 : Epoch  8, Batch    279, Loss  0.598363, Average Loss  0.603435, Time  0.240415
2021-09-15 06:06:41.426341 : Epoch  2, Batch    592, Loss  0.879228, Average Loss  0.869531, Time  0.266059
2021-09-15 06:06:41.726064 : Epoch  8, Batch    280, Loss  0.612690, Average Loss  0.603518, Time  0.238168
2021-09-15 06:06:43.416082 : Epoch  8, Batch    281, Loss  0.593900, Average Loss  0.603467, Time  0.258865
2021-09-15 06:06:44.472245 : Epoch  2, Batch    593, Loss  0.869287, Average Loss  0.869460, Time  0.266130
2021-09-15 06:06:44.959867 : Epoch  8, Batch    282, Loss  0.608342, Average Loss  0.603467, Time  0.240121
2021-09-15 06:06:46.639808 : Epoch  8, Batch    283, Loss  0.607747, Average Loss  0.603494, Time  0.259357
2021-09-15 06:06:47.486232 : Epoch  2, Batch    594, Loss  0.874526, Average Loss  0.869587, Time  0.265585
2021-09-15 06:06:48.319492 : Epoch  8, Batch    284, Loss  0.596426, Average Loss  0.603458, Time  0.256976
2021-09-15 06:06:49.863787 : Epoch  8, Batch    285, Loss  0.608046, Average Loss  0.603462, Time  0.243099
2021-09-15 06:06:50.491101 : Epoch  2, Batch    595, Loss  0.865503, Average Loss  0.869593, Time  0.265132
2021-09-15 06:06:51.406863 : Epoch  8, Batch    286, Loss  0.588100, Average Loss  0.603399, Time  0.241369
2021-09-15 06:06:52.523710 : CheckPoint: Validation Loss  0.00024975, Best Loss  0.00024467
2021-09-15 06:06:52.937015 : Epoch  8, Batch    287, Loss  0.605277, Average Loss  0.603382, Time  0.242946
2021-09-15 06:06:53.490712 : Epoch  2, Batch    596, Loss  0.887317, Average Loss  0.869589, Time  0.264679
2021-09-15 06:06:54.092203 : Epoch  9, Batch    405, Loss  0.594901, Average Loss  0.601397, Time  0.232453
2021-09-15 06:06:54.461786 : Epoch  8, Batch    288, Loss  0.605915, Average Loss  0.603394, Time  0.241208
2021-09-15 06:06:55.639880 : Epoch  9, Batch    406, Loss  0.610199, Average Loss  0.601434, Time  0.230844
2021-09-15 06:06:55.988728 : Epoch  8, Batch    289, Loss  0.608977, Average Loss  0.603451, Time  0.239910
2021-09-15 06:06:56.495667 : Epoch  2, Batch    597, Loss  0.867808, Average Loss  0.869542, Time  0.264327
2021-09-15 06:06:57.195556 : Epoch  9, Batch    407, Loss  0.598117, Average Loss  0.601351, Time  0.231931
2021-09-15 06:06:57.569003 : Epoch  8, Batch    290, Loss  0.606584, Average Loss  0.603454, Time  0.242411
2021-09-15 06:06:58.743803 : Epoch  9, Batch    408, Loss  0.606332, Average Loss  0.601369, Time  0.231332
2021-09-15 06:06:59.115436 : Epoch  8, Batch    291, Loss  0.601932, Average Loss  0.603433, Time  0.241050
2021-09-15 06:06:59.518324 : Epoch  2, Batch    598, Loss  0.882161, Average Loss  0.869554, Time  0.264519
2021-09-15 06:07:00.293994 : Epoch  9, Batch    409, Loss  0.597775, Average Loss  0.601291, Time  0.231638
2021-09-15 06:07:01.841401 : Epoch  9, Batch    410, Loss  0.615855, Average Loss  0.601359, Time  0.231303
2021-09-15 06:07:02.526140 : Epoch  2, Batch    599, Loss  0.866754, Average Loss  0.869603, Time  0.265166
2021-09-15 06:07:03.393297 : Epoch  9, Batch    411, Loss  0.615532, Average Loss  0.601472, Time  0.232166
2021-09-15 06:07:04.944769 : Epoch  9, Batch    412, Loss  0.598605, Average Loss  0.601437, Time  0.231170
2021-09-15 06:07:05.516778 : Epoch  2, Batch    600, Loss  0.864905, Average Loss  0.869544, Time  0.265109
2021-09-15 06:07:06.493959 : Epoch  9, Batch    413, Loss  0.604934, Average Loss  0.601434, Time  0.231328
2021-09-15 06:07:08.044619 : Epoch  9, Batch    414, Loss  0.599664, Average Loss  0.601434, Time  0.232853
2021-09-15 06:07:08.547836 : Epoch  2, Batch    601, Loss  0.860801, Average Loss  0.869429, Time  0.264594
2021-09-15 06:07:09.595995 : Epoch  9, Batch    415, Loss  0.610551, Average Loss  0.601502, Time  0.231311
2021-09-15 06:07:11.151009 : Epoch  9, Batch    416, Loss  0.595873, Average Loss  0.601523, Time  0.231931
2021-09-15 06:07:11.545413 : Epoch  2, Batch    602, Loss  0.859079, Average Loss  0.869354, Time  0.264609
2021-09-15 06:07:12.698096 : Epoch  9, Batch    417, Loss  0.604059, Average Loss  0.601471, Time  0.232011
2021-09-15 06:07:14.240437 : Epoch  9, Batch    418, Loss  0.603415, Average Loss  0.601479, Time  0.232084
2021-09-15 06:07:14.538112 : Epoch  2, Batch    603, Loss  0.867093, Average Loss  0.869286, Time  0.264695
2021-09-15 06:07:15.797403 : Epoch  9, Batch    419, Loss  0.597608, Average Loss  0.601513, Time  0.231075
2021-09-15 06:07:17.367405 : Epoch  9, Batch    420, Loss  0.607340, Average Loss  0.601571, Time  0.231457
2021-09-15 06:07:17.530667 : Epoch  2, Batch    604, Loss  0.863019, Average Loss  0.869304, Time  0.264613
2021-09-15 06:07:18.903838 : Epoch  9, Batch    421, Loss  0.593885, Average Loss  0.601516, Time  0.231478
2021-09-15 06:07:20.451558 : Epoch  9, Batch    422, Loss  0.594510, Average Loss  0.601522, Time  0.231064
2021-09-15 06:07:20.550164 : Epoch  2, Batch    605, Loss  0.876568, Average Loss  0.869407, Time  0.265605
2021-09-15 06:07:21.996417 : Epoch  9, Batch    423, Loss  0.610197, Average Loss  0.601488, Time  0.230893
2021-09-15 06:07:23.538863 : Epoch  9, Batch    424, Loss  0.605210, Average Loss  0.601480, Time  0.231321
2021-09-15 06:07:23.571743 : Epoch  2, Batch    606, Loss  0.902052, Average Loss  0.869615, Time  0.277941
2021-09-15 06:07:25.079261 : Epoch  9, Batch    425, Loss  0.602400, Average Loss  0.601519, Time  0.231222
2021-09-15 06:07:26.567931 : Epoch  2, Batch    607, Loss  0.862611, Average Loss  0.869608, Time  0.265109
2021-09-15 06:07:26.612583 : Epoch  9, Batch    426, Loss  0.614738, Average Loss  0.601652, Time  0.231230
2021-09-15 06:07:28.156379 : Epoch  9, Batch    427, Loss  0.609551, Average Loss  0.601584, Time  0.231184
2021-09-15 06:07:29.606405 : Epoch  2, Batch    608, Loss  0.873515, Average Loss  0.869539, Time  0.266963
2021-09-15 06:07:29.703009 : Epoch  9, Batch    428, Loss  0.598404, Average Loss  0.601588, Time  0.231341
2021-09-15 06:07:31.241263 : Epoch  9, Batch    429, Loss  0.601128, Average Loss  0.601593, Time  0.231014
2021-09-15 06:07:32.646647 : Epoch  2, Batch    609, Loss  0.871773, Average Loss  0.869545, Time  0.266452
2021-09-15 06:07:32.791890 : Epoch  9, Batch    430, Loss  0.604694, Average Loss  0.601577, Time  0.231199
2021-09-15 06:07:34.334453 : Epoch  9, Batch    431, Loss  0.603540, Average Loss  0.601557, Time  0.231663
2021-09-15 06:07:35.673411 : Epoch  2, Batch    610, Loss  0.859360, Average Loss  0.869485, Time  0.266510
2021-09-15 06:07:35.879351 : Epoch  9, Batch    432, Loss  0.602553, Average Loss  0.601548, Time  0.231126
2021-09-15 06:07:37.427900 : Epoch  9, Batch    433, Loss  0.601584, Average Loss  0.601528, Time  0.231034
2021-09-15 06:07:38.721343 : Epoch  2, Batch    611, Loss  0.865919, Average Loss  0.869426, Time  0.266023
2021-09-15 06:07:38.975559 : Epoch  9, Batch    434, Loss  0.610627, Average Loss  0.601581, Time  0.230798
2021-09-15 06:07:40.513149 : Epoch  9, Batch    435, Loss  0.601029, Average Loss  0.601584, Time  0.231318
2021-09-15 06:07:41.745701 : Epoch  2, Batch    612, Loss  0.884958, Average Loss  0.869572, Time  0.264938
2021-09-15 06:07:42.067584 : Epoch  9, Batch    436, Loss  0.606485, Average Loss  0.601655, Time  0.232026
2021-09-15 06:07:43.616813 : Epoch  9, Batch    437, Loss  0.606833, Average Loss  0.601683, Time  0.230970
2021-09-15 06:07:44.844670 : Epoch  2, Batch    613, Loss  0.861928, Average Loss  0.869553, Time  0.266919
2021-09-15 06:07:45.161620 : Epoch  9, Batch    438, Loss  0.604064, Average Loss  0.601690, Time  0.231148
2021-09-15 06:07:46.701086 : Epoch  9, Batch    439, Loss  0.614228, Average Loss  0.601733, Time  0.231499
2021-09-15 06:07:47.891719 : Epoch  2, Batch    614, Loss  0.873150, Average Loss  0.869521, Time  0.266351
2021-09-15 06:07:48.250422 : Epoch  9, Batch    440, Loss  0.606025, Average Loss  0.601808, Time  0.230888
2021-09-15 06:07:49.783778 : Epoch  9, Batch    441, Loss  0.579500, Average Loss  0.601677, Time  0.230829
2021-09-15 06:07:50.965248 : Epoch  2, Batch    615, Loss  0.887448, Average Loss  0.869669, Time  0.264746
2021-09-15 06:07:51.323010 : Epoch  9, Batch    442, Loss  0.609197, Average Loss  0.601696, Time  0.231072
2021-09-15 06:07:52.856790 : Epoch  9, Batch    443, Loss  0.603484, Average Loss  0.601777, Time  0.231411
2021-09-15 06:07:53.954858 : Epoch  2, Batch    616, Loss  0.861573, Average Loss  0.869641, Time  0.264179
2021-09-15 06:07:54.407961 : Epoch  9, Batch    444, Loss  0.597604, Average Loss  0.601759, Time  0.231877
2021-09-15 06:07:55.942005 : Epoch  9, Batch    445, Loss  0.612403, Average Loss  0.601787, Time  0.231442
2021-09-15 06:07:56.182045 : CheckPoint: Validation Loss  0.00025960, Best Loss  0.00024341
2021-09-15 06:07:56.956574 : Epoch  2, Batch    617, Loss  0.891048, Average Loss  0.869830, Time  0.264508
2021-09-15 06:07:57.490147 : Epoch  9, Batch    446, Loss  0.606754, Average Loss  0.601792, Time  0.231549
2021-09-15 06:07:57.757020 : Epoch  8, Batch    292, Loss  0.603895, Average Loss  0.603466, Time  0.259182
2021-09-15 06:07:59.045284 : Epoch  9, Batch    447, Loss  0.605813, Average Loss  0.601843, Time  0.232109
2021-09-15 06:07:59.278876 : Epoch  8, Batch    293, Loss  0.603807, Average Loss  0.603500, Time  0.243235
2021-09-15 06:07:59.974121 : Epoch  2, Batch    618, Loss  0.873193, Average Loss  0.869882, Time  0.265662
2021-09-15 06:08:00.598596 : Epoch  9, Batch    448, Loss  0.612157, Average Loss  0.601820, Time  0.231120
2021-09-15 06:08:00.802799 : Epoch  8, Batch    294, Loss  0.598496, Average Loss  0.603480, Time  0.241175
2021-09-15 06:08:02.142388 : Epoch  9, Batch    449, Loss  0.598746, Average Loss  0.601778, Time  0.232125
2021-09-15 06:08:02.320338 : Epoch  8, Batch    295, Loss  0.606782, Average Loss  0.603523, Time  0.239810
2021-09-15 06:08:02.974614 : Epoch  2, Batch    619, Loss  0.857653, Average Loss  0.869758, Time  0.265845
2021-09-15 06:08:03.688390 : Epoch  9, Batch    450, Loss  0.587440, Average Loss  0.601737, Time  0.231103
2021-09-15 06:08:03.847360 : Epoch  8, Batch    296, Loss  0.621519, Average Loss  0.603577, Time  0.241002
2021-09-15 06:08:05.241876 : Epoch  9, Batch    451, Loss  0.601634, Average Loss  0.601730, Time  0.231783
2021-09-15 06:08:05.379956 : Epoch  8, Batch    297, Loss  0.591106, Average Loss  0.603508, Time  0.240157
2021-09-15 06:08:05.982632 : Epoch  2, Batch    620, Loss  0.868556, Average Loss  0.869656, Time  0.264647
2021-09-15 06:08:06.785344 : Epoch  9, Batch    452, Loss  0.600075, Average Loss  0.601657, Time  0.231341
2021-09-15 06:08:06.915079 : Epoch  8, Batch    298, Loss  0.603940, Average Loss  0.603506, Time  0.241656
2021-09-15 06:08:08.332834 : Epoch  9, Batch    453, Loss  0.594583, Average Loss  0.601712, Time  0.231406
2021-09-15 06:08:08.433789 : Epoch  8, Batch    299, Loss  0.604385, Average Loss  0.603539, Time  0.241254
2021-09-15 06:08:09.029392 : Epoch  2, Batch    621, Loss  0.848784, Average Loss  0.869556, Time  0.276096
2021-09-15 06:08:09.878819 : Epoch  9, Batch    454, Loss  0.599985, Average Loss  0.601696, Time  0.231872
2021-09-15 06:08:09.960910 : Epoch  8, Batch    300, Loss  0.593889, Average Loss  0.603460, Time  0.240445
2021-09-15 06:08:11.420412 : Epoch  9, Batch    455, Loss  0.602772, Average Loss  0.601745, Time  0.231498
2021-09-15 06:08:11.490388 : Epoch  8, Batch    301, Loss  0.613691, Average Loss  0.603535, Time  0.240347
2021-09-15 06:08:12.048598 : Epoch  2, Batch    622, Loss  0.856076, Average Loss  0.869487, Time  0.264970
2021-09-15 06:08:12.956552 : Epoch  9, Batch    456, Loss  0.590283, Average Loss  0.601666, Time  0.231726
2021-09-15 06:08:13.020508 : Epoch  8, Batch    302, Loss  0.599216, Average Loss  0.603530, Time  0.239708
2021-09-15 06:08:14.502673 : Epoch  9, Batch    457, Loss  0.595437, Average Loss  0.601639, Time  0.231050
2021-09-15 06:08:14.540998 : Epoch  8, Batch    303, Loss  0.592600, Average Loss  0.603445, Time  0.240120
2021-09-15 06:08:15.073482 : Epoch  2, Batch    623, Loss  0.881918, Average Loss  0.869548, Time  0.265299
2021-09-15 06:08:16.046070 : Epoch  9, Batch    458, Loss  0.597145, Average Loss  0.601643, Time  0.231560
2021-09-15 06:08:16.095143 : Epoch  8, Batch    304, Loss  0.605351, Average Loss  0.603436, Time  0.240427
2021-09-15 06:08:17.600919 : Epoch  9, Batch    459, Loss  0.612932, Average Loss  0.601708, Time  0.231613
2021-09-15 06:08:17.639044 : Epoch  8, Batch    305, Loss  0.604611, Average Loss  0.603364, Time  0.255307
2021-09-15 06:08:18.079737 : Epoch  2, Batch    624, Loss  0.874811, Average Loss  0.869535, Time  0.264954
2021-09-15 06:08:19.152369 : Epoch  9, Batch    460, Loss  0.590534, Average Loss  0.601618, Time  0.231304
2021-09-15 06:08:19.188959 : Epoch  8, Batch    306, Loss  0.587782, Average Loss  0.603306, Time  0.242887
2021-09-15 06:08:20.694314 : Epoch  9, Batch    461, Loss  0.596218, Average Loss  0.601497, Time  0.231552
2021-09-15 06:08:20.733365 : Epoch  8, Batch    307, Loss  0.594365, Average Loss  0.603276, Time  0.247572
2021-09-15 06:08:21.110236 : Epoch  2, Batch    625, Loss  0.874209, Average Loss  0.869532, Time  0.265104
2021-09-15 06:08:22.315364 : Epoch  9, Batch    462, Loss  0.613422, Average Loss  0.601557, Time  0.231130
2021-09-15 06:08:22.406394 : Epoch  8, Batch    308, Loss  0.589695, Average Loss  0.603202, Time  0.237718
2021-09-15 06:08:23.857672 : Epoch  9, Batch    463, Loss  0.617339, Average Loss  0.601672, Time  0.231444
2021-09-15 06:08:23.927787 : Epoch  8, Batch    309, Loss  0.602787, Average Loss  0.603177, Time  0.239447
2021-09-15 06:08:24.116826 : Epoch  2, Batch    626, Loss  0.903630, Average Loss  0.869710, Time  0.266511
2021-09-15 06:08:25.403619 : Epoch  9, Batch    464, Loss  0.610498, Average Loss  0.601724, Time  0.231347
2021-09-15 06:08:25.443868 : Epoch  8, Batch    310, Loss  0.596765, Average Loss  0.603152, Time  0.240321
2021-09-15 06:08:26.941885 : Epoch  9, Batch    465, Loss  0.595122, Average Loss  0.601692, Time  0.231325
2021-09-15 06:08:26.975021 : Epoch  8, Batch    311, Loss  0.605877, Average Loss  0.603117, Time  0.239927
2021-09-15 06:08:27.117765 : Epoch  2, Batch    627, Loss  0.884180, Average Loss  0.869837, Time  0.264571
2021-09-15 06:08:28.487933 : Epoch  8, Batch    312, Loss  0.619009, Average Loss  0.603162, Time  0.241165
2021-09-15 06:08:28.536428 : Epoch  9, Batch    466, Loss  0.602383, Average Loss  0.601703, Time  0.232184
2021-09-15 06:08:30.050029 : Epoch  8, Batch    313, Loss  0.598959, Average Loss  0.603159, Time  0.241302
2021-09-15 06:08:30.085392 : Epoch  9, Batch    467, Loss  0.611498, Average Loss  0.601811, Time  0.232747
2021-09-15 06:08:30.116466 : Epoch  2, Batch    628, Loss  0.865241, Average Loss  0.869777, Time  0.266247
2021-09-15 06:08:31.585046 : Epoch  8, Batch    314, Loss  0.605416, Average Loss  0.603132, Time  0.241107
2021-09-15 06:08:31.619081 : Epoch  9, Batch    468, Loss  0.604872, Average Loss  0.601797, Time  0.231604
2021-09-15 06:08:33.110816 : Epoch  8, Batch    315, Loss  0.595087, Average Loss  0.603116, Time  0.239823
2021-09-15 06:08:33.124839 : Epoch  2, Batch    629, Loss  0.884542, Average Loss  0.869789, Time  0.265157
2021-09-15 06:08:33.154643 : Epoch  9, Batch    469, Loss  0.593784, Average Loss  0.601824, Time  0.231765
2021-09-15 06:08:34.638365 : Epoch  8, Batch    316, Loss  0.607671, Average Loss  0.603143, Time  0.241599
2021-09-15 06:08:34.695191 : Epoch  9, Batch    470, Loss  0.595515, Average Loss  0.601735, Time  0.231932
2021-09-15 06:08:36.134702 : Epoch  2, Batch    630, Loss  0.859867, Average Loss  0.869699, Time  0.266159
2021-09-15 06:08:36.178480 : Epoch  8, Batch    317, Loss  0.597066, Average Loss  0.603152, Time  0.238755
2021-09-15 06:08:36.235803 : Epoch  9, Batch    471, Loss  0.604752, Average Loss  0.601715, Time  0.234027
2021-09-15 06:08:37.705907 : Epoch  8, Batch    318, Loss  0.608436, Average Loss  0.603145, Time  0.240082
2021-09-15 06:08:37.785980 : Epoch  9, Batch    472, Loss  0.593614, Average Loss  0.601604, Time  0.232096
2021-09-15 06:08:39.124996 : Epoch  2, Batch    631, Loss  0.860795, Average Loss  0.869682, Time  0.265730
2021-09-15 06:08:39.328681 : Epoch  9, Batch    473, Loss  0.606035, Average Loss  0.601615, Time  0.231083
2021-09-15 06:08:39.387866 : Epoch  8, Batch    319, Loss  0.598425, Average Loss  0.603132, Time  0.258898
2021-09-15 06:08:40.865392 : Epoch  9, Batch    474, Loss  0.591491, Average Loss  0.601586, Time  0.231391
2021-09-15 06:08:40.906690 : Epoch  8, Batch    320, Loss  0.604764, Average Loss  0.603184, Time  0.238405
2021-09-15 06:08:42.142891 : Epoch  2, Batch    632, Loss  0.884912, Average Loss  0.869730, Time  0.265282
2021-09-15 06:08:42.595194 : Epoch  8, Batch    321, Loss  0.605450, Average Loss  0.603191, Time  0.259918
2021-09-15 06:08:44.274965 : Epoch  8, Batch    322, Loss  0.592475, Average Loss  0.603164, Time  0.258164
2021-09-15 06:08:44.817388 : Epoch  9, Batch    475, Loss  0.602149, Average Loss  0.601633, Time  0.266492
2021-09-15 06:08:45.149913 : Epoch  2, Batch    633, Loss  0.894409, Average Loss  0.869825, Time  0.264664
2021-09-15 06:08:45.964412 : Epoch  8, Batch    323, Loss  0.596793, Average Loss  0.603147, Time  0.258650
2021-09-15 06:08:46.366426 : Epoch  9, Batch    476, Loss  0.597539, Average Loss  0.601566, Time  0.234030
2021-09-15 06:08:47.678952 : Epoch  8, Batch    324, Loss  0.588307, Average Loss  0.602981, Time  0.259047
2021-09-15 06:08:47.916570 : Epoch  9, Batch    477, Loss  0.600262, Average Loss  0.601551, Time  0.231407
2021-09-15 06:08:48.155389 : Epoch  2, Batch    634, Loss  0.887608, Average Loss  0.869867, Time  0.266483
2021-09-15 06:08:49.368800 : Epoch  8, Batch    325, Loss  0.608152, Average Loss  0.602955, Time  0.258345
2021-09-15 06:08:49.446327 : Epoch  9, Batch    478, Loss  0.591878, Average Loss  0.601519, Time  0.231303
2021-09-15 06:08:50.971362 : Epoch  9, Batch    479, Loss  0.610161, Average Loss  0.601590, Time  0.231185
2021-09-15 06:08:51.067019 : Epoch  8, Batch    326, Loss  0.599319, Average Loss  0.602897, Time  0.260587
2021-09-15 06:08:51.185429 : Epoch  2, Batch    635, Loss  0.870003, Average Loss  0.869831, Time  0.263872
2021-09-15 06:08:52.511450 : Epoch  9, Batch    480, Loss  0.599617, Average Loss  0.601643, Time  0.231995
2021-09-15 06:08:52.746841 : Epoch  8, Batch    327, Loss  0.590524, Average Loss  0.602799, Time  0.259854
2021-09-15 06:08:54.057060 : Epoch  9, Batch    481, Loss  0.595272, Average Loss  0.601615, Time  0.233263
2021-09-15 06:08:54.205539 : Epoch  2, Batch    636, Loss  0.872882, Average Loss  0.869916, Time  0.274040
2021-09-15 06:08:54.418848 : Epoch  8, Batch    328, Loss  0.603622, Average Loss  0.602808, Time  0.260718
2021-09-15 06:08:55.588305 : Epoch  9, Batch    482, Loss  0.599314, Average Loss  0.601634, Time  0.230723
2021-09-15 06:08:56.087822 : Epoch  8, Batch    329, Loss  0.606343, Average Loss  0.602877, Time  0.259026
2021-09-15 06:08:57.133605 : Epoch  9, Batch    483, Loss  0.592955, Average Loss  0.601565, Time  0.231510
2021-09-15 06:08:57.207875 : Epoch  2, Batch    637, Loss  0.869105, Average Loss  0.869947, Time  0.265174
2021-09-15 06:08:57.765010 : Epoch  8, Batch    330, Loss  0.600718, Average Loss  0.602884, Time  0.259851
2021-09-15 06:08:58.668393 : Epoch  9, Batch    484, Loss  0.590322, Average Loss  0.601493, Time  0.231314
2021-09-15 06:08:59.449035 : Epoch  8, Batch    331, Loss  0.611620, Average Loss  0.602909, Time  0.257418
2021-09-15 06:09:00.205170 : Epoch  9, Batch    485, Loss  0.591929, Average Loss  0.601386, Time  0.231046
2021-09-15 06:09:00.232243 : Epoch  2, Batch    638, Loss  0.861634, Average Loss  0.869960, Time  0.264729
2021-09-15 06:09:01.138431 : Epoch  8, Batch    332, Loss  0.601360, Average Loss  0.602928, Time  0.257705
2021-09-15 06:09:01.736909 : Epoch  9, Batch    486, Loss  0.598030, Average Loss  0.601416, Time  0.232137
2021-09-15 06:09:02.828894 : Epoch  8, Batch    333, Loss  0.609403, Average Loss  0.603008, Time  0.260778
2021-09-15 06:09:03.246126 : Epoch  2, Batch    639, Loss  0.881443, Average Loss  0.870125, Time  0.264647
2021-09-15 06:09:03.288462 : Epoch  9, Batch    487, Loss  0.600291, Average Loss  0.601494, Time  0.230914
2021-09-15 06:09:04.523122 : Epoch  8, Batch    334, Loss  0.599725, Average Loss  0.603027, Time  0.258749
2021-09-15 06:09:04.808945 : Epoch  9, Batch    488, Loss  0.596656, Average Loss  0.601495, Time  0.231486
2021-09-15 06:09:06.078468 : Epoch  8, Batch    335, Loss  0.596652, Average Loss  0.603001, Time  0.241115
2021-09-15 06:09:06.233080 : Epoch  2, Batch    640, Loss  0.873912, Average Loss  0.870024, Time  0.264815
2021-09-15 06:09:06.335079 : Epoch  9, Batch    489, Loss  0.611332, Average Loss  0.601558, Time  0.231793
2021-09-15 06:09:07.613435 : Epoch  8, Batch    336, Loss  0.615444, Average Loss  0.603105, Time  0.239550
2021-09-15 06:09:07.872374 : Epoch  9, Batch    490, Loss  0.603432, Average Loss  0.601503, Time  0.233704
2021-09-15 06:09:09.142884 : Epoch  8, Batch    337, Loss  0.601897, Average Loss  0.603105, Time  0.238925
2021-09-15 06:09:09.226762 : Epoch  2, Batch    641, Loss  0.877943, Average Loss  0.870267, Time  0.265625
2021-09-15 06:09:09.405897 : Epoch  9, Batch    491, Loss  0.590727, Average Loss  0.601426, Time  0.233123
2021-09-15 06:09:10.676857 : Epoch  8, Batch    338, Loss  0.608266, Average Loss  0.603118, Time  0.239854
2021-09-15 06:09:10.930831 : Epoch  9, Batch    492, Loss  0.602532, Average Loss  0.601395, Time  0.230768
2021-09-15 06:09:12.222396 : Epoch  8, Batch    339, Loss  0.602651, Average Loss  0.603155, Time  0.241132
2021-09-15 06:09:12.247670 : Epoch  2, Batch    642, Loss  0.886862, Average Loss  0.870330, Time  0.264060
2021-09-15 06:09:12.465717 : Epoch  9, Batch    493, Loss  0.604500, Average Loss  0.601363, Time  0.231834
2021-09-15 06:09:13.769698 : Epoch  8, Batch    340, Loss  0.600993, Average Loss  0.603154, Time  0.240044
2021-09-15 06:09:13.995582 : Epoch  9, Batch    494, Loss  0.589367, Average Loss  0.601342, Time  0.231257
2021-09-15 06:09:15.286195 : Epoch  2, Batch    643, Loss  0.866715, Average Loss  0.870365, Time  0.265013
2021-09-15 06:09:15.306357 : Epoch  8, Batch    341, Loss  0.601496, Average Loss  0.603164, Time  0.240553
2021-09-15 06:09:15.525021 : Epoch  9, Batch    495, Loss  0.596749, Average Loss  0.601329, Time  0.231772
2021-09-15 06:09:16.838825 : Epoch  8, Batch    342, Loss  0.605223, Average Loss  0.603132, Time  0.241620
2021-09-15 06:09:17.056345 : Epoch  9, Batch    496, Loss  0.599792, Average Loss  0.601327, Time  0.231044
2021-09-15 06:09:18.314310 : Epoch  2, Batch    644, Loss  0.886936, Average Loss  0.870603, Time  0.265641
2021-09-15 06:09:18.379014 : Epoch  8, Batch    343, Loss  0.599475, Average Loss  0.603115, Time  0.236880
2021-09-15 06:09:18.601643 : Epoch  9, Batch    497, Loss  0.599146, Average Loss  0.601331, Time  0.231252
2021-09-15 06:09:19.937101 : Epoch  8, Batch    344, Loss  0.600872, Average Loss  0.603091, Time  0.245621
2021-09-15 06:09:20.138613 : Epoch  9, Batch    498, Loss  0.597982, Average Loss  0.601326, Time  0.230492
2021-09-15 06:09:21.475410 : Epoch  8, Batch    345, Loss  0.591689, Average Loss  0.603032, Time  0.241733
2021-09-15 06:09:21.669423 : Epoch  9, Batch    499, Loss  0.606584, Average Loss  0.601387, Time  0.230966
2021-09-15 06:09:23.025289 : Epoch  8, Batch    346, Loss  0.593014, Average Loss  0.602943, Time  0.239295
2021-09-15 06:09:23.211305 : Epoch  9, Batch    500, Loss  0.598431, Average Loss  0.601376, Time  0.230753
2021-09-15 06:09:24.559826 : Epoch  8, Batch    347, Loss  0.596604, Average Loss  0.602891, Time  0.241717
2021-09-15 06:09:24.748343 : Epoch  9, Batch    501, Loss  0.591021, Average Loss  0.601302, Time  0.232118
2021-09-15 06:09:26.086080 : Epoch  8, Batch    348, Loss  0.594613, Average Loss  0.602866, Time  0.236859
2021-09-15 06:09:26.296384 : Epoch  9, Batch    502, Loss  0.603247, Average Loss  0.601327, Time  0.231231
2021-09-15 06:09:27.615824 : Epoch  8, Batch    349, Loss  0.604071, Average Loss  0.602857, Time  0.237189
2021-09-15 06:09:27.844328 : Epoch  9, Batch    503, Loss  0.602428, Average Loss  0.601339, Time  0.230827
2021-09-15 06:09:29.165418 : Epoch  8, Batch    350, Loss  0.603733, Average Loss  0.602832, Time  0.242862
2021-09-15 06:09:29.378620 : Epoch  9, Batch    504, Loss  0.610863, Average Loss  0.601362, Time  0.230822
2021-09-15 06:09:30.707393 : Epoch  8, Batch    351, Loss  0.599923, Average Loss  0.602815, Time  0.241293
2021-09-15 06:09:32.257379 : Epoch  8, Batch    352, Loss  0.600031, Average Loss  0.602867, Time  0.239877
2021-09-15 06:09:33.793069 : Epoch  8, Batch    353, Loss  0.586022, Average Loss  0.602754, Time  0.241543
2021-09-15 06:09:35.322157 : Epoch  8, Batch    354, Loss  0.604782, Average Loss  0.602767, Time  0.238739
2021-09-15 06:09:36.846508 : Epoch  8, Batch    355, Loss  0.595768, Average Loss  0.602695, Time  0.238805
2021-09-15 06:09:38.401908 : Epoch  8, Batch    356, Loss  0.607383, Average Loss  0.602702, Time  0.242360
2021-09-15 06:09:39.935956 : Epoch  8, Batch    357, Loss  0.607101, Average Loss  0.602726, Time  0.240415
2021-09-15 06:09:41.478111 : Epoch  8, Batch    358, Loss  0.614062, Average Loss  0.602746, Time  0.240557
2021-09-15 06:09:43.019865 : Epoch  8, Batch    359, Loss  0.607091, Average Loss  0.602785, Time  0.241423
2021-09-15 06:09:44.575056 : Epoch  8, Batch    360, Loss  0.594254, Average Loss  0.602725, Time  0.239954
2021-09-15 06:09:46.125464 : Epoch  8, Batch    361, Loss  0.597544, Average Loss  0.602658, Time  0.239646
2021-09-15 06:09:50.032383 : Epoch  8, Batch    362, Loss  0.609506, Average Loss  0.602689, Time  0.266150
2021-09-15 06:09:51.584334 : Epoch  8, Batch    363, Loss  0.592656, Average Loss  0.602624, Time  0.241079
2021-09-15 06:09:53.246894 : Epoch  8, Batch    364, Loss  0.587577, Average Loss  0.602493, Time  0.239705
2021-09-15 06:09:54.925962 : Epoch  8, Batch    365, Loss  0.607050, Average Loss  0.602472, Time  0.256371
2021-09-15 06:09:56.610999 : Epoch  8, Batch    366, Loss  0.594198, Average Loss  0.602390, Time  0.257057
2021-09-15 06:09:58.307319 : Epoch  8, Batch    367, Loss  0.606585, Average Loss  0.602333, Time  0.261954
2021-09-15 06:10:00.008845 : Epoch  8, Batch    368, Loss  0.608978, Average Loss  0.602308, Time  0.260415
2021-09-15 06:10:01.544931 : Epoch  8, Batch    369, Loss  0.606411, Average Loss  0.602284, Time  0.238124
2021-09-15 06:10:03.073806 : Epoch  8, Batch    370, Loss  0.607978, Average Loss  0.602264, Time  0.237998
2021-09-15 06:10:04.607143 : Epoch  8, Batch    371, Loss  0.609287, Average Loss  0.602290, Time  0.242528
2021-09-15 06:10:06.142893 : Epoch  8, Batch    372, Loss  0.600714, Average Loss  0.602239, Time  0.244987
2021-09-15 06:10:07.674867 : Epoch  8, Batch    373, Loss  0.597093, Average Loss  0.602240, Time  0.239551
2021-09-15 06:10:09.204996 : Epoch  8, Batch    374, Loss  0.600826, Average Loss  0.602261, Time  0.240928
2021-09-15 06:10:10.728807 : Epoch  8, Batch    375, Loss  0.607329, Average Loss  0.602289, Time  0.240412
2021-09-15 06:10:12.263777 : Epoch  8, Batch    376, Loss  0.597967, Average Loss  0.602322, Time  0.243020
2021-09-15 06:10:13.796807 : Epoch  8, Batch    377, Loss  0.590015, Average Loss  0.602253, Time  0.242333
2021-09-15 06:10:15.317143 : Epoch  8, Batch    378, Loss  0.610127, Average Loss  0.602308, Time  0.237072
2021-09-15 06:10:16.991367 : Epoch  8, Batch    379, Loss  0.605397, Average Loss  0.602300, Time  0.256212
2021-09-15 06:10:18.529031 : Epoch  8, Batch    380, Loss  0.605504, Average Loss  0.602345, Time  0.242558
2021-09-15 06:10:20.063491 : Epoch  8, Batch    381, Loss  0.595364, Average Loss  0.602282, Time  0.240360
2021-09-15 06:10:21.594434 : Epoch  8, Batch    382, Loss  0.603177, Average Loss  0.602254, Time  0.239039
2021-09-15 06:10:23.134510 : Epoch  8, Batch    383, Loss  0.602309, Average Loss  0.602334, Time  0.240252
2021-09-15 06:10:24.808385 : Epoch  8, Batch    384, Loss  0.608888, Average Loss  0.602329, Time  0.258293
2021-09-15 06:10:26.334201 : Epoch  8, Batch    385, Loss  0.604503, Average Loss  0.602292, Time  0.238720
2021-09-15 06:10:27.367725 : CheckPoint: Validation Loss  0.00025660, Best Loss  0.00024467
2021-09-15 06:10:27.854373 : Epoch  8, Batch    386, Loss  0.607606, Average Loss  0.602317, Time  0.239570
2021-09-15 06:10:28.937038 : Epoch  9, Batch    505, Loss  0.601371, Average Loss  0.601388, Time  0.248008
2021-09-15 06:10:29.397187 : Epoch  8, Batch    387, Loss  0.600477, Average Loss  0.602265, Time  0.243052
2021-09-15 06:10:30.477024 : Epoch  9, Batch    506, Loss  0.606657, Average Loss  0.601428, Time  0.231580
2021-09-15 06:10:30.920999 : Epoch  8, Batch    388, Loss  0.604926, Average Loss  0.602328, Time  0.239142
2021-09-15 06:10:32.032922 : Epoch  9, Batch    507, Loss  0.613059, Average Loss  0.601520, Time  0.231468
2021-09-15 06:10:32.457108 : Epoch  8, Batch    389, Loss  0.600274, Average Loss  0.602339, Time  0.241262
2021-09-15 06:10:33.576469 : Epoch  9, Batch    508, Loss  0.596128, Average Loss  0.601465, Time  0.232068
2021-09-15 06:10:33.992190 : Epoch  8, Batch    390, Loss  0.605990, Average Loss  0.602406, Time  0.247389
2021-09-15 06:10:35.176360 : Epoch  9, Batch    509, Loss  0.598954, Average Loss  0.601438, Time  0.231361
2021-09-15 06:10:35.538785 : Epoch  8, Batch    391, Loss  0.594028, Average Loss  0.602374, Time  0.238109
2021-09-15 06:10:36.720939 : Epoch  9, Batch    510, Loss  0.594787, Average Loss  0.601400, Time  0.232619
2021-09-15 06:10:38.267233 : Epoch  9, Batch    511, Loss  0.603988, Average Loss  0.601398, Time  0.231637
2021-09-15 06:10:39.815406 : Epoch  9, Batch    512, Loss  0.609785, Average Loss  0.601423, Time  0.231201
2021-09-15 06:10:41.366810 : Epoch  9, Batch    513, Loss  0.597798, Average Loss  0.601441, Time  0.233248
2021-09-15 06:10:42.917382 : Epoch  9, Batch    514, Loss  0.594319, Average Loss  0.601410, Time  0.231140
2021-09-15 06:10:44.461019 : Epoch  9, Batch    515, Loss  0.609817, Average Loss  0.601479, Time  0.231849
2021-09-15 06:10:46.001600 : Epoch  9, Batch    516, Loss  0.590602, Average Loss  0.601438, Time  0.231364
2021-09-15 06:10:47.545657 : Epoch  9, Batch    517, Loss  0.608509, Average Loss  0.601494, Time  0.231255
2021-09-15 06:10:49.082362 : Epoch  9, Batch    518, Loss  0.603359, Average Loss  0.601552, Time  0.231697
2021-09-15 06:10:50.624183 : Epoch  9, Batch    519, Loss  0.592136, Average Loss  0.601480, Time  0.231389
2021-09-15 06:10:52.162157 : Epoch  9, Batch    520, Loss  0.595228, Average Loss  0.601381, Time  0.231773
2021-09-15 06:10:53.706979 : Epoch  9, Batch    521, Loss  0.599786, Average Loss  0.601434, Time  0.231821
2021-09-15 06:10:55.240813 : Epoch  9, Batch    522, Loss  0.598953, Average Loss  0.601434, Time  0.231448
2021-09-15 06:10:56.800663 : Epoch  9, Batch    523, Loss  0.620425, Average Loss  0.601512, Time  0.231444
2021-09-15 06:10:58.346786 : Epoch  9, Batch    524, Loss  0.608680, Average Loss  0.601548, Time  0.232524
2021-09-15 06:10:59.886388 : Epoch  9, Batch    525, Loss  0.602680, Average Loss  0.601552, Time  0.231296
2021-09-15 06:11:01.429566 : Epoch  9, Batch    526, Loss  0.597997, Average Loss  0.601524, Time  0.231194
2021-09-15 06:11:02.980372 : Epoch  9, Batch    527, Loss  0.601443, Average Loss  0.601522, Time  0.231436
2021-09-15 06:11:04.532334 : Epoch  9, Batch    528, Loss  0.600022, Average Loss  0.601524, Time  0.232345
2021-09-15 06:11:06.077664 : Epoch  9, Batch    529, Loss  0.612322, Average Loss  0.601623, Time  0.231613
2021-09-15 06:11:07.617942 : Epoch  9, Batch    530, Loss  0.597399, Average Loss  0.601632, Time  0.231579
2021-09-15 06:11:09.163061 : Epoch  9, Batch    531, Loss  0.607118, Average Loss  0.601775, Time  0.231298
2021-09-15 06:11:10.709028 : Epoch  9, Batch    532, Loss  0.618888, Average Loss  0.601869, Time  0.231416
2021-09-15 06:11:12.254968 : Epoch  9, Batch    533, Loss  0.593455, Average Loss  0.601882, Time  0.231280
2021-09-15 06:11:13.797451 : Epoch  9, Batch    534, Loss  0.602080, Average Loss  0.601896, Time  0.231344
2021-09-15 06:11:15.352992 : Epoch  9, Batch    535, Loss  0.584678, Average Loss  0.601764, Time  0.232542
2021-09-15 06:11:16.896235 : Epoch  9, Batch    536, Loss  0.598585, Average Loss  0.601800, Time  0.231449
2021-09-15 06:11:18.431052 : Epoch  9, Batch    537, Loss  0.600516, Average Loss  0.601766, Time  0.231290
2021-09-15 06:11:19.984413 : Epoch  9, Batch    538, Loss  0.607002, Average Loss  0.601850, Time  0.232269
2021-09-15 06:11:21.524309 : Epoch  9, Batch    539, Loss  0.606963, Average Loss  0.601916, Time  0.232246
2021-09-15 06:11:23.069397 : Epoch  9, Batch    540, Loss  0.605196, Average Loss  0.601896, Time  0.231190
2021-09-15 06:11:24.625967 : Epoch  9, Batch    541, Loss  0.605814, Average Loss  0.601916, Time  0.232431
2021-09-15 06:11:26.181020 : Epoch  9, Batch    542, Loss  0.603774, Average Loss  0.601923, Time  0.231476
2021-09-15 06:11:27.729877 : Epoch  9, Batch    543, Loss  0.601030, Average Loss  0.601978, Time  0.231575
2021-09-15 06:11:29.269389 : Epoch  9, Batch    544, Loss  0.616117, Average Loss  0.602033, Time  0.231537
2021-09-15 06:11:30.829463 : Epoch  9, Batch    545, Loss  0.588520, Average Loss  0.601903, Time  0.231495
2021-09-15 06:11:32.379407 : Epoch  9, Batch    546, Loss  0.599558, Average Loss  0.601823, Time  0.231643
2021-09-15 06:11:33.926376 : Epoch  9, Batch    547, Loss  0.602303, Average Loss  0.601804, Time  0.231694
2021-09-15 06:11:34.413716 : CheckPoint: Validation Loss  0.00024927, Best Loss  0.00024341
2021-09-15 06:11:35.484052 : Epoch  9, Batch    548, Loss  0.603205, Average Loss  0.601837, Time  0.232168
2021-09-15 06:11:35.938066 : Epoch  8, Batch    392, Loss  0.599209, Average Loss  0.602279, Time  0.238825
2021-09-15 06:11:37.030078 : Epoch  9, Batch    549, Loss  0.608870, Average Loss  0.601900, Time  0.232578
2021-09-15 06:11:37.446908 : Epoch  8, Batch    393, Loss  0.618652, Average Loss  0.602348, Time  0.237470
2021-09-15 06:11:38.579633 : Epoch  9, Batch    550, Loss  0.596499, Average Loss  0.601875, Time  0.233772
2021-09-15 06:11:38.964964 : Epoch  8, Batch    394, Loss  0.592353, Average Loss  0.602304, Time  0.238966
2021-09-15 06:11:40.123124 : Epoch  9, Batch    551, Loss  0.596891, Average Loss  0.601840, Time  0.232271
2021-09-15 06:11:40.477767 : Epoch  8, Batch    395, Loss  0.595120, Average Loss  0.602285, Time  0.238586
2021-09-15 06:11:41.663649 : Epoch  9, Batch    552, Loss  0.601122, Average Loss  0.601805, Time  0.231689
2021-09-15 06:11:42.028039 : Epoch  8, Batch    396, Loss  0.593529, Average Loss  0.602246, Time  0.240389
2021-09-15 06:11:43.224812 : Epoch  9, Batch    553, Loss  0.609586, Average Loss  0.601798, Time  0.231274
2021-09-15 06:11:43.553884 : Epoch  8, Batch    397, Loss  0.611555, Average Loss  0.602246, Time  0.239061
2021-09-15 06:11:44.767364 : Epoch  9, Batch    554, Loss  0.601351, Average Loss  0.601784, Time  0.231290
2021-09-15 06:11:45.079365 : Epoch  8, Batch    398, Loss  0.604123, Average Loss  0.602305, Time  0.240532
2021-09-15 06:11:46.312190 : Epoch  9, Batch    555, Loss  0.597138, Average Loss  0.601750, Time  0.231108
2021-09-15 06:11:46.603085 : Epoch  8, Batch    399, Loss  0.607509, Average Loss  0.602312, Time  0.240798
2021-09-15 06:11:47.846630 : Epoch  9, Batch    556, Loss  0.601579, Average Loss  0.601753, Time  0.231144
2021-09-15 06:11:48.151880 : Epoch  8, Batch    400, Loss  0.603102, Average Loss  0.602320, Time  0.239812
2021-09-15 06:11:49.384144 : Epoch  9, Batch    557, Loss  0.610433, Average Loss  0.601808, Time  0.231351
2021-09-15 06:11:49.681808 : Epoch  8, Batch    401, Loss  0.612872, Average Loss  0.602379, Time  0.238317
2021-09-15 06:11:50.924355 : Epoch  9, Batch    558, Loss  0.605283, Average Loss  0.601777, Time  0.231343
2021-09-15 06:11:51.242677 : Epoch  8, Batch    402, Loss  0.596823, Average Loss  0.602337, Time  0.239931
2021-09-15 06:11:52.470971 : Epoch  9, Batch    559, Loss  0.612115, Average Loss  0.601857, Time  0.232975
2021-09-15 06:11:52.772400 : Epoch  8, Batch    403, Loss  0.591361, Average Loss  0.602322, Time  0.240561
2021-09-15 06:11:54.018948 : Epoch  9, Batch    560, Loss  0.597279, Average Loss  0.601894, Time  0.230832
2021-09-15 06:11:54.328162 : Epoch  8, Batch    404, Loss  0.597998, Average Loss  0.602281, Time  0.239650
2021-09-15 06:11:55.555177 : Epoch  9, Batch    561, Loss  0.608022, Average Loss  0.601945, Time  0.230947
2021-09-15 06:11:55.851256 : Epoch  8, Batch    405, Loss  0.611973, Average Loss  0.602298, Time  0.239209
2021-09-15 06:11:57.094267 : Epoch  9, Batch    562, Loss  0.599353, Average Loss  0.601986, Time  0.231478
2021-09-15 06:11:57.372962 : Epoch  8, Batch    406, Loss  0.615913, Average Loss  0.602352, Time  0.239150
2021-09-15 06:11:58.630309 : Epoch  9, Batch    563, Loss  0.599626, Average Loss  0.601999, Time  0.231480
2021-09-15 06:11:58.901850 : Epoch  8, Batch    407, Loss  0.598212, Average Loss  0.602314, Time  0.243833
2021-09-15 06:12:00.163792 : Epoch  9, Batch    564, Loss  0.597452, Average Loss  0.601934, Time  0.231129
2021-09-15 06:12:00.447901 : Epoch  8, Batch    408, Loss  0.607252, Average Loss  0.602370, Time  0.242606
2021-09-15 06:12:01.708996 : Epoch  9, Batch    565, Loss  0.608928, Average Loss  0.601980, Time  0.231191
2021-09-15 06:12:01.964933 : Epoch  8, Batch    409, Loss  0.587559, Average Loss  0.602303, Time  0.238933
2021-09-15 06:12:03.248849 : Epoch  9, Batch    566, Loss  0.592307, Average Loss  0.601914, Time  0.231178
2021-09-15 06:12:03.482835 : Epoch  8, Batch    410, Loss  0.601920, Average Loss  0.602284, Time  0.240229
2021-09-15 06:12:04.793955 : Epoch  9, Batch    567, Loss  0.613068, Average Loss  0.601935, Time  0.231475
2021-09-15 06:12:05.004360 : Epoch  8, Batch    411, Loss  0.606618, Average Loss  0.602320, Time  0.240256
2021-09-15 06:12:06.339619 : Epoch  9, Batch    568, Loss  0.604899, Average Loss  0.601896, Time  0.232333
2021-09-15 06:12:06.534816 : Epoch  8, Batch    412, Loss  0.612047, Average Loss  0.602411, Time  0.240825
2021-09-15 06:12:07.874218 : Epoch  9, Batch    569, Loss  0.597003, Average Loss  0.601884, Time  0.231899
2021-09-15 06:12:08.063413 : Epoch  8, Batch    413, Loss  0.598549, Average Loss  0.602380, Time  0.243070
2021-09-15 06:12:09.426166 : Epoch  9, Batch    570, Loss  0.593870, Average Loss  0.601851, Time  0.231448
2021-09-15 06:12:09.583844 : Epoch  8, Batch    414, Loss  0.606139, Average Loss  0.602399, Time  0.238578
2021-09-15 06:12:10.963059 : Epoch  9, Batch    571, Loss  0.597261, Average Loss  0.601761, Time  0.231297
2021-09-15 06:12:11.111994 : Epoch  8, Batch    415, Loss  0.603766, Average Loss  0.602408, Time  0.240490
2021-09-15 06:12:12.513643 : Epoch  9, Batch    572, Loss  0.605535, Average Loss  0.601775, Time  0.231146
2021-09-15 06:12:12.634996 : Epoch  8, Batch    416, Loss  0.607877, Average Loss  0.602412, Time  0.238670
2021-09-15 06:12:14.054245 : Epoch  9, Batch    573, Loss  0.590942, Average Loss  0.601735, Time  0.231741
2021-09-15 06:12:14.167360 : Epoch  8, Batch    417, Loss  0.606283, Average Loss  0.602432, Time  0.241395
2021-09-15 06:12:15.589105 : Epoch  9, Batch    574, Loss  0.603452, Average Loss  0.601744, Time  0.230942
2021-09-15 06:12:15.706090 : Epoch  8, Batch    418, Loss  0.602206, Average Loss  0.602416, Time  0.239810
2021-09-15 06:12:17.243958 : Epoch  8, Batch    419, Loss  0.601596, Average Loss  0.602363, Time  0.241693
2021-09-15 06:12:18.774357 : Epoch  8, Batch    420, Loss  0.584920, Average Loss  0.602278, Time  0.238304
2021-09-15 06:12:19.573368 : Epoch  9, Batch    575, Loss  0.595888, Average Loss  0.601645, Time  0.263272
2021-09-15 06:12:20.303371 : Epoch  8, Batch    421, Loss  0.605744, Average Loss  0.602234, Time  0.238122
2021-09-15 06:12:21.119829 : Epoch  9, Batch    576, Loss  0.609097, Average Loss  0.601662, Time  0.239743
2021-09-15 06:12:21.830863 : Epoch  8, Batch    422, Loss  0.589148, Average Loss  0.602100, Time  0.240917
2021-09-15 06:12:22.659211 : Epoch  9, Batch    577, Loss  0.604207, Average Loss  0.601644, Time  0.231372
2021-09-15 06:12:23.380930 : Epoch  8, Batch    423, Loss  0.596268, Average Loss  0.602067, Time  0.240662
2021-09-15 06:12:24.202068 : Epoch  9, Batch    578, Loss  0.596077, Average Loss  0.601616, Time  0.231333
2021-09-15 06:12:24.921031 : Epoch  8, Batch    424, Loss  0.600980, Average Loss  0.602043, Time  0.239766
2021-09-15 06:12:25.747717 : Epoch  9, Batch    579, Loss  0.596990, Average Loss  0.601682, Time  0.232863
2021-09-15 06:12:26.447870 : Epoch  8, Batch    425, Loss  0.596535, Average Loss  0.601995, Time  0.239174
2021-09-15 06:12:27.275589 : Epoch  9, Batch    580, Loss  0.601814, Average Loss  0.601709, Time  0.231314
2021-09-15 06:12:27.977238 : Epoch  8, Batch    426, Loss  0.578638, Average Loss  0.601878, Time  0.239236
2021-09-15 06:12:28.817112 : Epoch  9, Batch    581, Loss  0.607428, Average Loss  0.601739, Time  0.231084
2021-09-15 06:12:29.518463 : Epoch  8, Batch    427, Loss  0.594346, Average Loss  0.601799, Time  0.240826
2021-09-15 06:12:30.347611 : Epoch  9, Batch    582, Loss  0.604693, Average Loss  0.601786, Time  0.231520
2021-09-15 06:12:31.092504 : Epoch  8, Batch    428, Loss  0.602003, Average Loss  0.601781, Time  0.240270
2021-09-15 06:12:31.891577 : Epoch  9, Batch    583, Loss  0.608204, Average Loss  0.601814, Time  0.231997
2021-09-15 06:12:32.621399 : Epoch  8, Batch    429, Loss  0.600712, Average Loss  0.601871, Time  0.239004
2021-09-15 06:12:33.416077 : Epoch  9, Batch    584, Loss  0.616483, Average Loss  0.601887, Time  0.231240
2021-09-15 06:12:34.154779 : Epoch  8, Batch    430, Loss  0.598981, Average Loss  0.601870, Time  0.242300
2021-09-15 06:12:34.955054 : Epoch  9, Batch    585, Loss  0.610729, Average Loss  0.601932, Time  0.230786
2021-09-15 06:12:35.696044 : Epoch  8, Batch    431, Loss  0.590576, Average Loss  0.601826, Time  0.240710
2021-09-15 06:12:36.481263 : Epoch  9, Batch    586, Loss  0.587939, Average Loss  0.601884, Time  0.230751
2021-09-15 06:12:37.225864 : Epoch  8, Batch    432, Loss  0.593427, Average Loss  0.601793, Time  0.240727
2021-09-15 06:12:38.023024 : Epoch  9, Batch    587, Loss  0.600111, Average Loss  0.601869, Time  0.230882
2021-09-15 06:12:38.757126 : Epoch  8, Batch    433, Loss  0.602316, Average Loss  0.601772, Time  0.236490
2021-09-15 06:12:39.562883 : Epoch  9, Batch    588, Loss  0.608098, Average Loss  0.601882, Time  0.230975
2021-09-15 06:12:40.307689 : Epoch  8, Batch    434, Loss  0.605873, Average Loss  0.601788, Time  0.239573
2021-09-15 06:12:41.098364 : Epoch  9, Batch    589, Loss  0.607847, Average Loss  0.601904, Time  0.231189
2021-09-15 06:12:41.861455 : Epoch  8, Batch    435, Loss  0.592357, Average Loss  0.601762, Time  0.239692
2021-09-15 06:12:42.633358 : Epoch  9, Batch    590, Loss  0.609588, Average Loss  0.602020, Time  0.231586
2021-09-15 06:12:43.405792 : Epoch  8, Batch    436, Loss  0.599681, Average Loss  0.601751, Time  0.239122
2021-09-15 06:12:44.167352 : Epoch  9, Batch    591, Loss  0.595367, Average Loss  0.601980, Time  0.232041
2021-09-15 06:12:45.092010 : Epoch  8, Batch    437, Loss  0.604490, Average Loss  0.601750, Time  0.257780
2021-09-15 06:12:45.706400 : Epoch  9, Batch    592, Loss  0.606535, Average Loss  0.602012, Time  0.233138
2021-09-15 06:12:46.783439 : Epoch  8, Batch    438, Loss  0.604830, Average Loss  0.601780, Time  0.260244
2021-09-15 06:12:47.239130 : Epoch  9, Batch    593, Loss  0.595825, Average Loss  0.601968, Time  0.231503
2021-09-15 06:12:48.487916 : Epoch  8, Batch    439, Loss  0.599433, Average Loss  0.601787, Time  0.258898
2021-09-15 06:12:48.778019 : Epoch  9, Batch    594, Loss  0.595746, Average Loss  0.601945, Time  0.231264
2021-09-15 06:12:50.158127 : Epoch  8, Batch    440, Loss  0.612727, Average Loss  0.601807, Time  0.239424
2021-09-15 06:12:50.316355 : Epoch  9, Batch    595, Loss  0.613512, Average Loss  0.601954, Time  0.232461
2021-09-15 06:12:51.847161 : Epoch  9, Batch    596, Loss  0.600259, Average Loss  0.601921, Time  0.231668
2021-09-15 06:12:51.877808 : Epoch  8, Batch    441, Loss  0.601165, Average Loss  0.601787, Time  0.259958
2021-09-15 06:12:53.382590 : Epoch  9, Batch    597, Loss  0.605308, Average Loss  0.601989, Time  0.231740
2021-09-15 06:12:53.411849 : Epoch  8, Batch    442, Loss  0.610016, Average Loss  0.601919, Time  0.240269
2021-09-15 06:12:54.922673 : Epoch  9, Batch    598, Loss  0.601005, Average Loss  0.601947, Time  0.231660
2021-09-15 06:12:54.959894 : Epoch  8, Batch    443, Loss  0.592769, Average Loss  0.601899, Time  0.242183
2021-09-15 06:12:56.458710 : Epoch  9, Batch    599, Loss  0.597951, Average Loss  0.602011, Time  0.232050
2021-09-15 06:12:56.493013 : Epoch  8, Batch    444, Loss  0.607126, Average Loss  0.601910, Time  0.238619
2021-09-15 06:12:58.002597 : Epoch  9, Batch    600, Loss  0.584859, Average Loss  0.601906, Time  0.232217
2021-09-15 06:12:58.033388 : Epoch  8, Batch    445, Loss  0.599072, Average Loss  0.602001, Time  0.239645
2021-09-15 06:12:59.547017 : Epoch  9, Batch    601, Loss  0.608695, Average Loss  0.601951, Time  0.231717
2021-09-15 06:12:59.585003 : Epoch  8, Batch    446, Loss  0.600171, Average Loss  0.602004, Time  0.241353
2021-09-15 06:13:01.100590 : Epoch  9, Batch    602, Loss  0.601431, Average Loss  0.601942, Time  0.232392
2021-09-15 06:13:01.130916 : Epoch  8, Batch    447, Loss  0.601195, Average Loss  0.602027, Time  0.240319
2021-09-15 06:13:02.644944 : Epoch  9, Batch    603, Loss  0.600456, Average Loss  0.601950, Time  0.231163
2021-09-15 06:13:02.680431 : Epoch  8, Batch    448, Loss  0.597171, Average Loss  0.602002, Time  0.240410
2021-09-15 06:13:04.185612 : Epoch  9, Batch    604, Loss  0.591776, Average Loss  0.601884, Time  0.231516
2021-09-15 06:13:04.221342 : Epoch  8, Batch    449, Loss  0.596684, Average Loss  0.601963, Time  0.238396
2021-09-15 06:13:05.761967 : Epoch  8, Batch    450, Loss  0.602295, Average Loss  0.601996, Time  0.240392
2021-09-15 06:13:07.291193 : Epoch  8, Batch    451, Loss  0.592757, Average Loss  0.601935, Time  0.240874
2021-09-15 06:13:08.826371 : Epoch  8, Batch    452, Loss  0.606424, Average Loss  0.601968, Time  0.238079
2021-09-15 06:13:10.362413 : Epoch  8, Batch    453, Loss  0.606472, Average Loss  0.601947, Time  0.242376
2021-09-15 06:13:11.906095 : Epoch  8, Batch    454, Loss  0.600355, Average Loss  0.601975, Time  0.239021
2021-09-15 06:13:13.439804 : Epoch  8, Batch    455, Loss  0.610619, Average Loss  0.602013, Time  0.241450
2021-09-15 06:13:14.969346 : Epoch  8, Batch    456, Loss  0.603737, Average Loss  0.601999, Time  0.240989
2021-09-15 06:13:16.513811 : Epoch  8, Batch    457, Loss  0.600259, Average Loss  0.601982, Time  0.239638
2021-09-15 06:13:18.068084 : Epoch  8, Batch    458, Loss  0.583082, Average Loss  0.601853, Time  0.242403
2021-09-15 06:13:19.607082 : Epoch  8, Batch    459, Loss  0.605980, Average Loss  0.601819, Time  0.240703
2021-09-15 06:13:21.133926 : Epoch  8, Batch    460, Loss  0.612880, Average Loss  0.601907, Time  0.240475
2021-09-15 06:13:22.660095 : Epoch  8, Batch    461, Loss  0.600803, Average Loss  0.601876, Time  0.239412
2021-09-15 06:13:27.349866 : Epoch  8, Batch    462, Loss  0.601528, Average Loss  0.601885, Time  0.257598
2021-09-15 06:13:28.865966 : Epoch  8, Batch    463, Loss  0.600356, Average Loss  0.601822, Time  0.240372
2021-09-15 06:13:30.383825 : Epoch  8, Batch    464, Loss  0.591197, Average Loss  0.601742, Time  0.241408
2021-09-15 06:13:31.906433 : Epoch  8, Batch    465, Loss  0.616421, Average Loss  0.601847, Time  0.240081
2021-09-15 06:13:33.418779 : Epoch  8, Batch    466, Loss  0.589401, Average Loss  0.601751, Time  0.241085
2021-09-15 06:13:34.954049 : Epoch  8, Batch    467, Loss  0.613490, Average Loss  0.601787, Time  0.241462
2021-09-15 06:13:36.493808 : Epoch  8, Batch    468, Loss  0.599805, Average Loss  0.601794, Time  0.242372
2021-09-15 06:13:38.018855 : Epoch  8, Batch    469, Loss  0.595236, Average Loss  0.601746, Time  0.241742
2021-09-15 06:13:39.540923 : Epoch  8, Batch    470, Loss  0.602493, Average Loss  0.601718, Time  0.240729
2021-09-15 06:13:41.060042 : Epoch  8, Batch    471, Loss  0.600633, Average Loss  0.601716, Time  0.239454
2021-09-15 06:13:42.587923 : Epoch  8, Batch    472, Loss  0.607879, Average Loss  0.601723, Time  0.242742
2021-09-15 06:13:44.106005 : Epoch  8, Batch    473, Loss  0.590677, Average Loss  0.601719, Time  0.238776
2021-09-15 06:13:45.622961 : Epoch  8, Batch    474, Loss  0.598482, Average Loss  0.601706, Time  0.239132
2021-09-15 06:13:47.149104 : Epoch  8, Batch    475, Loss  0.608721, Average Loss  0.601749, Time  0.241929
2021-09-15 06:13:48.679126 : Epoch  8, Batch    476, Loss  0.604058, Average Loss  0.601709, Time  0.241353
2021-09-15 06:13:50.204920 : Epoch  8, Batch    477, Loss  0.601482, Average Loss  0.601678, Time  0.238873
2021-09-15 06:13:51.731118 : Epoch  8, Batch    478, Loss  0.588326, Average Loss  0.601511, Time  0.239072
2021-09-15 06:13:53.413099 : Epoch  8, Batch    479, Loss  0.602023, Average Loss  0.601529, Time  0.259395
2021-09-15 06:13:55.096851 : Epoch  8, Batch    480, Loss  0.611195, Average Loss  0.601522, Time  0.259224
2021-09-15 06:13:56.776364 : Epoch  8, Batch    481, Loss  0.607716, Average Loss  0.601591, Time  0.258780
2021-09-15 06:13:58.459780 : Epoch  8, Batch    482, Loss  0.596812, Average Loss  0.601533, Time  0.260377
2021-09-15 06:13:59.586393 : CheckPoint: Validation Loss  0.00029974, Best Loss  0.00029571
2021-09-15 06:14:00.163466 : Epoch  8, Batch    483, Loss  0.609141, Average Loss  0.601540, Time  0.260060
2021-09-15 06:14:01.836482 : Epoch  8, Batch    484, Loss  0.611022, Average Loss  0.601613, Time  0.256507
2021-09-15 06:14:02.091718 : CheckPoint: Validation Loss  0.00025982, Best Loss  0.00024467
2021-09-15 06:14:02.626799 : Epoch  2, Batch    645, Loss  0.871173, Average Loss  0.870611, Time  0.267804
2021-09-15 06:14:03.511042 : Epoch  8, Batch    485, Loss  0.610717, Average Loss  0.601627, Time  0.255853
2021-09-15 06:14:03.647284 : Epoch  9, Batch    605, Loss  0.600052, Average Loss  0.601910, Time  0.231738
2021-09-15 06:14:05.186902 : Epoch  8, Batch    486, Loss  0.622532, Average Loss  0.601799, Time  0.260388
2021-09-15 06:14:05.220371 : Epoch  9, Batch    606, Loss  0.606596, Average Loss  0.601892, Time  0.232728
2021-09-15 06:14:05.629998 : Epoch  2, Batch    646, Loss  0.866388, Average Loss  0.870566, Time  0.264377
2021-09-15 06:14:06.707032 : Epoch  8, Batch    487, Loss  0.615266, Average Loss  0.601849, Time  0.240427
2021-09-15 06:14:06.785619 : Epoch  9, Batch    607, Loss  0.603227, Average Loss  0.601917, Time  0.230900
2021-09-15 06:14:08.337303 : Epoch  9, Batch    608, Loss  0.597966, Average Loss  0.601875, Time  0.231238
2021-09-15 06:14:08.391825 : Epoch  8, Batch    488, Loss  0.605187, Average Loss  0.601845, Time  0.259369
2021-09-15 06:14:08.671354 : Epoch  2, Batch    647, Loss  0.876307, Average Loss  0.870785, Time  0.265074
2021-09-15 06:14:09.901013 : Epoch  9, Batch    609, Loss  0.604165, Average Loss  0.601907, Time  0.232014
2021-09-15 06:14:10.098878 : Epoch  8, Batch    489, Loss  0.599973, Average Loss  0.601800, Time  0.261338
2021-09-15 06:14:11.444145 : Epoch  9, Batch    610, Loss  0.606907, Average Loss  0.601862, Time  0.231175
2021-09-15 06:14:11.704526 : Epoch  2, Batch    648, Loss  0.877848, Average Loss  0.870918, Time  0.265864
2021-09-15 06:14:11.795800 : Epoch  8, Batch    490, Loss  0.594200, Average Loss  0.601738, Time  0.262320
2021-09-15 06:14:12.993544 : Epoch  9, Batch    611, Loss  0.590786, Average Loss  0.601739, Time  0.230679
2021-09-15 06:14:14.539096 : Epoch  9, Batch    612, Loss  0.586826, Average Loss  0.601680, Time  0.231937
2021-09-15 06:14:14.738239 : Epoch  2, Batch    649, Loss  0.884405, Average Loss  0.870872, Time  0.275057
2021-09-15 06:14:15.853861 : Epoch  8, Batch    491, Loss  0.617831, Average Loss  0.601818, Time  0.278805
2021-09-15 06:14:16.087273 : Epoch  9, Batch    613, Loss  0.603125, Average Loss  0.601671, Time  0.230835
2021-09-15 06:14:17.629101 : Epoch  9, Batch    614, Loss  0.607476, Average Loss  0.601710, Time  0.231469
2021-09-15 06:14:17.767660 : Epoch  2, Batch    650, Loss  0.869781, Average Loss  0.870858, Time  0.266587
2021-09-15 06:14:19.178021 : Epoch  9, Batch    615, Loss  0.579389, Average Loss  0.601554, Time  0.230895
2021-09-15 06:14:20.729037 : Epoch  9, Batch    616, Loss  0.607901, Average Loss  0.601614, Time  0.231599
2021-09-15 06:14:20.809358 : Epoch  2, Batch    651, Loss  0.856315, Average Loss  0.870813, Time  0.265558
2021-09-15 06:14:22.280237 : Epoch  9, Batch    617, Loss  0.604918, Average Loss  0.601618, Time  0.231066
2021-09-15 06:14:23.817349 : Epoch  9, Batch    618, Loss  0.605718, Average Loss  0.601630, Time  0.230880
2021-09-15 06:14:23.900444 : Epoch  2, Batch    652, Loss  0.842982, Average Loss  0.870619, Time  0.265867
2021-09-15 06:14:25.366087 : Epoch  9, Batch    619, Loss  0.604244, Average Loss  0.601663, Time  0.231227
2021-09-15 06:14:26.912795 : Epoch  9, Batch    620, Loss  0.600858, Average Loss  0.601631, Time  0.233194
2021-09-15 06:14:26.954570 : Epoch  2, Batch    653, Loss  0.895295, Average Loss  0.870770, Time  0.264947
2021-09-15 06:14:28.464844 : Epoch  9, Batch    621, Loss  0.593309, Average Loss  0.601628, Time  0.230933
2021-09-15 06:14:30.012368 : Epoch  9, Batch    622, Loss  0.606077, Average Loss  0.601686, Time  0.231383
2021-09-15 06:14:30.019581 : Epoch  2, Batch    654, Loss  0.876349, Average Loss  0.870930, Time  0.265051
2021-09-15 06:14:31.571332 : Epoch  9, Batch    623, Loss  0.587479, Average Loss  0.601572, Time  0.231130
2021-09-15 06:14:33.114883 : Epoch  9, Batch    624, Loss  0.597131, Average Loss  0.601532, Time  0.231210
2021-09-15 06:14:33.124674 : Epoch  2, Batch    655, Loss  0.878545, Average Loss  0.870866, Time  0.264416
2021-09-15 06:14:34.654256 : Epoch  9, Batch    625, Loss  0.605851, Average Loss  0.601549, Time  0.231471
2021-09-15 06:14:36.172284 : Epoch  2, Batch    656, Loss  0.887426, Average Loss  0.870980, Time  0.264859
2021-09-15 06:14:36.202773 : Epoch  9, Batch    626, Loss  0.597937, Average Loss  0.601465, Time  0.231032
2021-09-15 06:14:37.746626 : Epoch  9, Batch    627, Loss  0.608134, Average Loss  0.601458, Time  0.230927
2021-09-15 06:14:39.190871 : Epoch  2, Batch    657, Loss  0.852770, Average Loss  0.870843, Time  0.265950
2021-09-15 06:14:39.299340 : Epoch  9, Batch    628, Loss  0.595876, Average Loss  0.601445, Time  0.231091
2021-09-15 06:14:40.862207 : Epoch  9, Batch    629, Loss  0.601735, Average Loss  0.601448, Time  0.231326
2021-09-15 06:14:42.237732 : Epoch  2, Batch    658, Loss  0.862026, Average Loss  0.870790, Time  0.264889
2021-09-15 06:14:42.408107 : Epoch  9, Batch    630, Loss  0.604640, Average Loss  0.601448, Time  0.232031
2021-09-15 06:14:43.955377 : Epoch  9, Batch    631, Loss  0.603169, Average Loss  0.601446, Time  0.232115
2021-09-15 06:14:45.222485 : Epoch  2, Batch    659, Loss  0.894377, Average Loss  0.870891, Time  0.264470
2021-09-15 06:14:45.489195 : Epoch  9, Batch    632, Loss  0.606037, Average Loss  0.601464, Time  0.231234
2021-09-15 06:14:47.028228 : Epoch  9, Batch    633, Loss  0.601100, Average Loss  0.601461, Time  0.231329
2021-09-15 06:14:48.268792 : Epoch  2, Batch    660, Loss  0.867817, Average Loss  0.870887, Time  0.264571
2021-09-15 06:14:48.577922 : Epoch  9, Batch    634, Loss  0.605982, Average Loss  0.601438, Time  0.231324
2021-09-15 06:14:50.130547 : Epoch  9, Batch    635, Loss  0.606789, Average Loss  0.601467, Time  0.231486
2021-09-15 06:14:51.315137 : Epoch  2, Batch    661, Loss  0.841231, Average Loss  0.870776, Time  0.263889
2021-09-15 06:14:51.676975 : Epoch  9, Batch    636, Loss  0.599750, Average Loss  0.601433, Time  0.231783
2021-09-15 06:14:53.208853 : Epoch  9, Batch    637, Loss  0.606078, Average Loss  0.601429, Time  0.232411
2021-09-15 06:14:54.373066 : Epoch  2, Batch    662, Loss  0.890939, Average Loss  0.870907, Time  0.265040
2021-09-15 06:14:54.749258 : Epoch  9, Batch    638, Loss  0.592473, Average Loss  0.601371, Time  0.230669
2021-09-15 06:14:56.287318 : Epoch  9, Batch    639, Loss  0.597187, Average Loss  0.601286, Time  0.231918
2021-09-15 06:14:57.379000 : Epoch  2, Batch    663, Loss  0.843479, Average Loss  0.870822, Time  0.264868
2021-09-15 06:14:57.834842 : Epoch  9, Batch    640, Loss  0.598904, Average Loss  0.601251, Time  0.231093
2021-09-15 06:14:59.372787 : Epoch  9, Batch    641, Loss  0.614695, Average Loss  0.601427, Time  0.230698
2021-09-15 06:15:00.473912 : Epoch  2, Batch    664, Loss  0.867458, Average Loss  0.870749, Time  0.277437
2021-09-15 06:15:00.920607 : Epoch  9, Batch    642, Loss  0.607007, Average Loss  0.601416, Time  0.231256
2021-09-15 06:15:02.456118 : Epoch  9, Batch    643, Loss  0.619540, Average Loss  0.601496, Time  0.230919
2021-09-15 06:15:03.535404 : Epoch  2, Batch    665, Loss  0.879095, Average Loss  0.870708, Time  0.266354
2021-09-15 06:15:04.003569 : Epoch  9, Batch    644, Loss  0.599437, Average Loss  0.601505, Time  0.231888
2021-09-15 06:15:05.576731 : Epoch  9, Batch    645, Loss  0.596904, Average Loss  0.601428, Time  0.231806
2021-09-15 06:15:06.611258 : Epoch  2, Batch    666, Loss  0.865301, Average Loss  0.870718, Time  0.265450
2021-09-15 06:15:07.132373 : Epoch  9, Batch    646, Loss  0.602755, Average Loss  0.601408, Time  0.231372
2021-09-15 06:15:08.674880 : Epoch  9, Batch    647, Loss  0.604174, Average Loss  0.601399, Time  0.231882
2021-09-15 06:15:09.683953 : Epoch  2, Batch    667, Loss  0.868923, Average Loss  0.870695, Time  0.268316
2021-09-15 06:15:10.222632 : Epoch  9, Batch    648, Loss  0.586938, Average Loss  0.601273, Time  0.231399
2021-09-15 06:15:11.774782 : Epoch  9, Batch    649, Loss  0.611998, Average Loss  0.601339, Time  0.233053
2021-09-15 06:15:12.770010 : Epoch  2, Batch    668, Loss  0.877332, Average Loss  0.870709, Time  0.265690
2021-09-15 06:15:13.326563 : Epoch  9, Batch    650, Loss  0.598620, Average Loss  0.601395, Time  0.232411
2021-09-15 06:15:14.875264 : Epoch  9, Batch    651, Loss  0.588331, Average Loss  0.601329, Time  0.234177
2021-09-15 06:15:15.811840 : Epoch  2, Batch    669, Loss  0.900162, Average Loss  0.870854, Time  0.265080
2021-09-15 06:15:16.414662 : Epoch  9, Batch    652, Loss  0.609941, Average Loss  0.601378, Time  0.231539
2021-09-15 06:15:17.761741 : CheckPoint: Validation Loss  0.00025226, Best Loss  0.00024341
2021-09-15 06:15:17.969700 : Epoch  9, Batch    653, Loss  0.599507, Average Loss  0.601403, Time  0.231974
2021-09-15 06:15:18.874385 : Epoch  2, Batch    670, Loss  0.879816, Average Loss  0.870930, Time  0.265697
2021-09-15 06:15:19.434185 : Epoch  8, Batch    492, Loss  0.600879, Average Loss  0.601803, Time  0.257331
2021-09-15 06:15:19.506341 : Epoch  9, Batch    654, Loss  0.601756, Average Loss  0.601412, Time  0.231363
2021-09-15 06:15:21.058172 : Epoch  9, Batch    655, Loss  0.601173, Average Loss  0.601404, Time  0.231270
2021-09-15 06:15:21.111807 : Epoch  8, Batch    493, Loss  0.609837, Average Loss  0.601833, Time  0.259761
2021-09-15 06:15:21.931272 : Epoch  2, Batch    671, Loss  0.875666, Average Loss  0.871002, Time  0.265271
2021-09-15 06:15:22.599686 : Epoch  9, Batch    656, Loss  0.602803, Average Loss  0.601466, Time  0.231477
2021-09-15 06:15:22.788910 : Epoch  8, Batch    494, Loss  0.589001, Average Loss  0.601785, Time  0.258170
2021-09-15 06:15:24.151056 : Epoch  9, Batch    657, Loss  0.597431, Average Loss  0.601476, Time  0.231443
2021-09-15 06:15:24.457343 : Epoch  8, Batch    495, Loss  0.613863, Average Loss  0.601821, Time  0.257395
2021-09-15 06:15:24.964117 : Epoch  2, Batch    672, Loss  0.857184, Average Loss  0.870955, Time  0.265256
2021-09-15 06:15:25.694384 : Epoch  9, Batch    658, Loss  0.609764, Average Loss  0.601539, Time  0.230891
2021-09-15 06:15:26.129921 : Epoch  8, Batch    496, Loss  0.600663, Average Loss  0.601716, Time  0.257267
2021-09-15 06:15:27.243030 : Epoch  9, Batch    659, Loss  0.591357, Average Loss  0.601431, Time  0.231262
2021-09-15 06:15:27.802213 : Epoch  8, Batch    497, Loss  0.606906, Average Loss  0.601795, Time  0.258457
2021-09-15 06:15:27.992686 : Epoch  2, Batch    673, Loss  0.871143, Average Loss  0.871072, Time  0.264890
2021-09-15 06:15:28.796401 : Epoch  9, Batch    660, Loss  0.597505, Average Loss  0.601466, Time  0.231007
2021-09-15 06:15:29.493868 : Epoch  8, Batch    498, Loss  0.604631, Average Loss  0.601799, Time  0.257911
2021-09-15 06:15:30.343361 : Epoch  9, Batch    661, Loss  0.606615, Average Loss  0.601518, Time  0.231336
2021-09-15 06:15:31.029067 : Epoch  2, Batch    674, Loss  0.871118, Average Loss  0.871074, Time  0.265712
2021-09-15 06:15:31.173443 : Epoch  8, Batch    499, Loss  0.610513, Average Loss  0.601829, Time  0.258968
2021-09-15 06:15:31.900173 : Epoch  9, Batch    662, Loss  0.602154, Average Loss  0.601462, Time  0.232460
2021-09-15 06:15:32.841392 : Epoch  8, Batch    500, Loss  0.607096, Average Loss  0.601896, Time  0.257498
2021-09-15 06:15:33.454432 : Epoch  9, Batch    663, Loss  0.606392, Average Loss  0.601407, Time  0.231455
2021-09-15 06:15:34.091388 : Epoch  2, Batch    675, Loss  0.871243, Average Loss  0.871131, Time  0.264103
2021-09-15 06:15:34.499792 : Epoch  8, Batch    501, Loss  0.598630, Average Loss  0.601820, Time  0.239634
2021-09-15 06:15:35.007373 : Epoch  9, Batch    664, Loss  0.608856, Average Loss  0.601399, Time  0.231271
2021-09-15 06:15:36.038766 : Epoch  8, Batch    502, Loss  0.597474, Average Loss  0.601812, Time  0.240639
2021-09-15 06:15:36.568073 : Epoch  9, Batch    665, Loss  0.602396, Average Loss  0.601435, Time  0.231532
2021-09-15 06:15:37.124616 : Epoch  2, Batch    676, Loss  0.909921, Average Loss  0.871361, Time  0.265313
2021-09-15 06:15:37.738449 : Epoch  8, Batch    503, Loss  0.595663, Average Loss  0.601827, Time  0.260835
2021-09-15 06:15:38.117119 : Epoch  9, Batch    666, Loss  0.598910, Average Loss  0.601418, Time  0.231324
2021-09-15 06:15:39.412941 : Epoch  8, Batch    504, Loss  0.585532, Average Loss  0.601728, Time  0.257853
2021-09-15 06:15:39.659101 : Epoch  9, Batch    667, Loss  0.593968, Average Loss  0.601330, Time  0.231466
2021-09-15 06:15:40.186717 : Epoch  2, Batch    677, Loss  0.858887, Average Loss  0.871139, Time  0.265040
2021-09-15 06:15:41.093911 : Epoch  8, Batch    505, Loss  0.597496, Average Loss  0.601692, Time  0.258969
2021-09-15 06:15:41.193943 : Epoch  9, Batch    668, Loss  0.592444, Average Loss  0.601268, Time  0.232143
2021-09-15 06:15:42.727244 : Epoch  9, Batch    669, Loss  0.596229, Average Loss  0.601280, Time  0.231368
2021-09-15 06:15:42.786387 : Epoch  8, Batch    506, Loss  0.590720, Average Loss  0.601707, Time  0.258401
2021-09-15 06:15:43.216758 : Epoch  2, Batch    678, Loss  0.886988, Average Loss  0.871213, Time  0.265246
2021-09-15 06:15:44.276630 : Epoch  9, Batch    670, Loss  0.600904, Average Loss  0.601307, Time  0.231028
2021-09-15 06:15:44.481961 : Epoch  8, Batch    507, Loss  0.609865, Average Loss  0.601784, Time  0.257766
2021-09-15 06:15:45.818145 : Epoch  9, Batch    671, Loss  0.590349, Average Loss  0.601235, Time  0.231633
2021-09-15 06:15:46.164793 : Epoch  8, Batch    508, Loss  0.611927, Average Loss  0.601896, Time  0.261059
2021-09-15 06:15:46.256636 : Epoch  2, Batch    679, Loss  0.880487, Average Loss  0.871301, Time  0.277277
2021-09-15 06:15:47.364385 : Epoch  9, Batch    672, Loss  0.613580, Average Loss  0.601335, Time  0.231271
2021-09-15 06:15:47.842479 : Epoch  8, Batch    509, Loss  0.605768, Average Loss  0.601910, Time  0.258991
2021-09-15 06:15:48.909373 : Epoch  9, Batch    673, Loss  0.597901, Average Loss  0.601295, Time  0.231015
2021-09-15 06:15:49.288306 : Epoch  2, Batch    680, Loss  0.852283, Average Loss  0.871227, Time  0.265280
2021-09-15 06:15:49.373434 : Epoch  8, Batch    510, Loss  0.606106, Average Loss  0.601957, Time  0.239852
2021-09-15 06:15:50.468276 : Epoch  9, Batch    674, Loss  0.595675, Average Loss  0.601315, Time  0.231463
2021-09-15 06:15:50.908437 : Epoch  8, Batch    511, Loss  0.606477, Average Loss  0.601960, Time  0.239163
2021-09-15 06:15:52.328782 : Epoch  2, Batch    681, Loss  0.877034, Average Loss  0.871297, Time  0.265375
2021-09-15 06:15:52.436363 : Epoch  8, Batch    512, Loss  0.601269, Average Loss  0.601871, Time  0.237920
2021-09-15 06:15:53.951352 : Epoch  8, Batch    513, Loss  0.601877, Average Loss  0.601886, Time  0.238226
2021-09-15 06:15:54.415447 : Epoch  9, Batch    675, Loss  0.613433, Average Loss  0.601372, Time  0.265117
2021-09-15 06:15:55.350641 : Epoch  2, Batch    682, Loss  0.855539, Average Loss  0.871269, Time  0.264371
2021-09-15 06:15:55.473382 : Epoch  8, Batch    514, Loss  0.600635, Average Loss  0.601862, Time  0.240162
2021-09-15 06:15:55.954549 : Epoch  9, Batch    676, Loss  0.601826, Average Loss  0.601393, Time  0.235696
2021-09-15 06:15:57.015187 : Epoch  8, Batch    515, Loss  0.592758, Average Loss  0.601850, Time  0.242019
2021-09-15 06:15:57.492776 : Epoch  9, Batch    677, Loss  0.585378, Average Loss  0.601319, Time  0.231533
2021-09-15 06:15:58.380034 : Epoch  2, Batch    683, Loss  0.866884, Average Loss  0.871276, Time  0.265085
2021-09-15 06:15:58.539057 : Epoch  8, Batch    516, Loss  0.623922, Average Loss  0.601932, Time  0.238683
2021-09-15 06:15:59.030445 : Epoch  9, Batch    678, Loss  0.602521, Average Loss  0.601372, Time  0.231724
2021-09-15 06:16:00.053022 : Epoch  8, Batch    517, Loss  0.604349, Average Loss  0.601968, Time  0.237619
2021-09-15 06:16:00.566985 : Epoch  9, Batch    679, Loss  0.605822, Average Loss  0.601350, Time  0.231223
2021-09-15 06:16:01.408981 : Epoch  2, Batch    684, Loss  0.872187, Average Loss  0.871308, Time  0.265089
2021-09-15 06:16:01.585361 : Epoch  8, Batch    518, Loss  0.598694, Average Loss  0.601919, Time  0.239851
2021-09-15 06:16:02.123569 : Epoch  9, Batch    680, Loss  0.601031, Average Loss  0.601358, Time  0.231107
2021-09-15 06:16:03.130901 : Epoch  8, Batch    519, Loss  0.607327, Average Loss  0.601964, Time  0.239745
2021-09-15 06:16:03.663402 : Epoch  9, Batch    681, Loss  0.597558, Average Loss  0.601369, Time  0.232748
2021-09-15 06:16:04.438673 : Epoch  2, Batch    685, Loss  0.862640, Average Loss  0.871205, Time  0.265209
2021-09-15 06:16:04.657954 : Epoch  8, Batch    520, Loss  0.597413, Average Loss  0.601927, Time  0.239744
2021-09-15 06:16:05.207056 : Epoch  9, Batch    682, Loss  0.597493, Average Loss  0.601360, Time  0.233260
2021-09-15 06:16:06.176809 : Epoch  8, Batch    521, Loss  0.596927, Average Loss  0.601885, Time  0.240330
2021-09-15 06:16:06.753267 : Epoch  9, Batch    683, Loss  0.603539, Average Loss  0.601413, Time  0.231575
2021-09-15 06:16:07.484987 : Epoch  2, Batch    686, Loss  0.876618, Average Loss  0.871129, Time  0.265693
2021-09-15 06:16:07.710816 : Epoch  8, Batch    522, Loss  0.602885, Average Loss  0.601937, Time  0.241278
2021-09-15 06:16:08.311724 : Epoch  9, Batch    684, Loss  0.600549, Average Loss  0.601464, Time  0.232826
2021-09-15 06:16:09.250974 : Epoch  8, Batch    523, Loss  0.606876, Average Loss  0.601987, Time  0.243078
2021-09-15 06:16:09.844228 : Epoch  9, Batch    685, Loss  0.596298, Average Loss  0.601486, Time  0.231479
2021-09-15 06:16:10.557948 : Epoch  2, Batch    687, Loss  0.883597, Average Loss  0.871202, Time  0.266211
2021-09-15 06:16:10.784141 : Epoch  8, Batch    524, Loss  0.593879, Average Loss  0.602015, Time  0.242643
2021-09-15 06:16:11.374998 : Epoch  9, Batch    686, Loss  0.612076, Average Loss  0.601556, Time  0.231316
2021-09-15 06:16:12.496883 : Epoch  8, Batch    525, Loss  0.603270, Average Loss  0.601990, Time  0.259295
2021-09-15 06:16:12.915224 : Epoch  9, Batch    687, Loss  0.600124, Average Loss  0.601555, Time  0.231240
2021-09-15 06:16:13.606234 : Epoch  2, Batch    688, Loss  0.868021, Average Loss  0.871218, Time  0.265713
2021-09-15 06:16:14.191995 : Epoch  8, Batch    526, Loss  0.603465, Average Loss  0.602011, Time  0.260188
2021-09-15 06:16:14.436987 : Epoch  9, Batch    688, Loss  0.591376, Average Loss  0.601529, Time  0.231013
2021-09-15 06:16:15.889515 : Epoch  8, Batch    527, Loss  0.611478, Average Loss  0.602116, Time  0.260658
2021-09-15 06:16:15.964034 : Epoch  9, Batch    689, Loss  0.601515, Average Loss  0.601480, Time  0.231012
2021-09-15 06:16:16.640340 : Epoch  2, Batch    689, Loss  0.855557, Average Loss  0.871167, Time  0.265707
2021-09-15 06:16:17.492649 : Epoch  9, Batch    690, Loss  0.605667, Average Loss  0.601491, Time  0.230459
2021-09-15 06:16:17.571252 : Epoch  8, Batch    528, Loss  0.589533, Average Loss  0.602046, Time  0.258240
2021-09-15 06:16:19.023809 : Epoch  9, Batch    691, Loss  0.608608, Average Loss  0.601580, Time  0.230770
2021-09-15 06:16:19.247576 : Epoch  8, Batch    529, Loss  0.593096, Average Loss  0.601979, Time  0.260237
2021-09-15 06:16:19.706090 : Epoch  2, Batch    690, Loss  0.869216, Average Loss  0.871148, Time  0.265800
2021-09-15 06:16:20.543091 : Epoch  9, Batch    692, Loss  0.601897, Average Loss  0.601577, Time  0.230445
2021-09-15 06:16:20.929839 : Epoch  8, Batch    530, Loss  0.587236, Average Loss  0.601912, Time  0.258540
2021-09-15 06:16:22.074060 : Epoch  9, Batch    693, Loss  0.590970, Average Loss  0.601509, Time  0.231085
2021-09-15 06:16:22.611457 : Epoch  8, Batch    531, Loss  0.602575, Average Loss  0.601867, Time  0.257441
2021-09-15 06:16:22.757015 : Epoch  2, Batch    691, Loss  0.869308, Average Loss  0.871115, Time  0.264967
2021-09-15 06:16:23.606332 : Epoch  9, Batch    694, Loss  0.612065, Average Loss  0.601623, Time  0.230801
2021-09-15 06:16:24.298918 : Epoch  8, Batch    532, Loss  0.609212, Average Loss  0.601906, Time  0.260268
2021-09-15 06:16:25.145719 : Epoch  9, Batch    695, Loss  0.597084, Average Loss  0.601625, Time  0.230609
2021-09-15 06:16:25.785510 : Epoch  2, Batch    692, Loss  0.867916, Average Loss  0.871051, Time  0.265244
2021-09-15 06:16:25.975887 : Epoch  8, Batch    533, Loss  0.603897, Average Loss  0.601878, Time  0.260958
2021-09-15 06:16:26.677797 : Epoch  9, Batch    696, Loss  0.595051, Average Loss  0.601601, Time  0.230071
2021-09-15 06:16:27.650442 : Epoch  8, Batch    534, Loss  0.616348, Average Loss  0.601961, Time  0.256675
2021-09-15 06:16:28.219517 : Epoch  9, Batch    697, Loss  0.600233, Average Loss  0.601606, Time  0.231176
2021-09-15 06:16:28.812062 : Epoch  2, Batch    693, Loss  0.876372, Average Loss  0.871159, Time  0.265291
2021-09-15 06:16:29.332897 : Epoch  8, Batch    535, Loss  0.598790, Average Loss  0.601972, Time  0.260801
2021-09-15 06:16:29.757588 : Epoch  9, Batch    698, Loss  0.593886, Average Loss  0.601586, Time  0.230667
2021-09-15 06:16:30.872406 : Epoch  8, Batch    536, Loss  0.599220, Average Loss  0.601891, Time  0.243361
2021-09-15 06:16:31.287655 : Epoch  9, Batch    699, Loss  0.594919, Average Loss  0.601527, Time  0.230469
2021-09-15 06:16:31.871917 : Epoch  2, Batch    694, Loss  0.887462, Average Loss  0.871220, Time  0.278032
2021-09-15 06:16:32.421888 : Epoch  8, Batch    537, Loss  0.609317, Average Loss  0.601928, Time  0.241107
2021-09-15 06:16:32.825884 : Epoch  9, Batch    700, Loss  0.599276, Average Loss  0.601532, Time  0.231524
2021-09-15 06:16:33.952881 : Epoch  8, Batch    538, Loss  0.605295, Average Loss  0.601913, Time  0.240032
2021-09-15 06:16:34.355836 : Epoch  9, Batch    701, Loss  0.593490, Average Loss  0.601544, Time  0.230112
2021-09-15 06:16:34.926527 : Epoch  2, Batch    695, Loss  0.873999, Average Loss  0.871236, Time  0.265616
2021-09-15 06:16:35.483780 : Epoch  8, Batch    539, Loss  0.598546, Average Loss  0.601893, Time  0.240559
2021-09-15 06:16:35.889341 : Epoch  9, Batch    702, Loss  0.606464, Average Loss  0.601560, Time  0.231467
2021-09-15 06:16:37.019795 : Epoch  8, Batch    540, Loss  0.616467, Average Loss  0.601970, Time  0.242995
2021-09-15 06:16:37.434506 : Epoch  9, Batch    703, Loss  0.595450, Average Loss  0.601525, Time  0.231319
2021-09-15 06:16:37.973860 : Epoch  2, Batch    696, Loss  0.875147, Average Loss  0.871240, Time  0.265939
2021-09-15 06:16:38.556882 : Epoch  8, Batch    541, Loss  0.604169, Average Loss  0.601984, Time  0.240717
2021-09-15 06:16:40.085974 : Epoch  8, Batch    542, Loss  0.604775, Average Loss  0.601981, Time  0.240474
2021-09-15 06:16:41.018856 : Epoch  2, Batch    697, Loss  0.867514, Average Loss  0.871184, Time  0.265213
2021-09-15 06:16:41.320378 : Epoch  9, Batch    704, Loss  0.603521, Average Loss  0.601489, Time  0.262822
2021-09-15 06:16:41.641890 : Epoch  8, Batch    543, Loss  0.601165, Average Loss  0.601990, Time  0.243364
2021-09-15 06:16:43.161790 : Epoch  8, Batch    544, Loss  0.610280, Average Loss  0.602037, Time  0.241305
2021-09-15 06:16:44.086024 : Epoch  2, Batch    698, Loss  0.894303, Average Loss  0.871276, Time  0.264434
2021-09-15 06:16:44.677875 : Epoch  8, Batch    545, Loss  0.608216, Average Loss  0.602119, Time  0.240117
2021-09-15 06:16:46.210044 : Epoch  8, Batch    546, Loss  0.602686, Average Loss  0.602168, Time  0.240465
2021-09-15 06:16:47.140663 : Epoch  2, Batch    699, Loss  0.884922, Average Loss  0.871349, Time  0.265845
2021-09-15 06:16:47.759814 : Epoch  8, Batch    547, Loss  0.603769, Average Loss  0.602204, Time  0.242519
2021-09-15 06:16:49.290437 : Epoch  8, Batch    548, Loss  0.605490, Average Loss  0.602258, Time  0.240925
2021-09-15 06:16:50.206416 : Epoch  2, Batch    700, Loss  0.874531, Average Loss  0.871424, Time  0.264055
2021-09-15 06:16:50.810096 : Epoch  8, Batch    549, Loss  0.599127, Average Loss  0.602233, Time  0.240593
2021-09-15 06:16:52.335772 : Epoch  8, Batch    550, Loss  0.608257, Average Loss  0.602256, Time  0.240979
2021-09-15 06:16:53.276142 : Epoch  2, Batch    701, Loss  0.861430, Average Loss  0.871413, Time  0.265831
2021-09-15 06:16:53.875004 : Epoch  8, Batch    551, Loss  0.602129, Average Loss  0.602267, Time  0.244659
2021-09-15 06:16:55.400807 : Epoch  8, Batch    552, Loss  0.602690, Average Loss  0.602280, Time  0.242118
2021-09-15 06:16:56.335193 : Epoch  2, Batch    702, Loss  0.884039, Average Loss  0.871513, Time  0.265326
2021-09-15 06:16:56.943940 : Epoch  8, Batch    553, Loss  0.602286, Average Loss  0.602362, Time  0.242463
2021-09-15 06:16:58.481787 : Epoch  8, Batch    554, Loss  0.599820, Average Loss  0.602337, Time  0.242529
2021-09-15 06:16:59.370544 : Epoch  2, Batch    703, Loss  0.890205, Average Loss  0.871626, Time  0.264286
2021-09-15 06:16:59.998829 : Epoch  8, Batch    555, Loss  0.607656, Average Loss  0.602396, Time  0.239185
2021-09-15 06:17:01.522864 : Epoch  8, Batch    556, Loss  0.593302, Average Loss  0.602326, Time  0.240537
2021-09-15 06:17:02.413510 : Epoch  2, Batch    704, Loss  0.882520, Average Loss  0.871736, Time  0.264284
2021-09-15 06:17:03.049793 : Epoch  8, Batch    557, Loss  0.591563, Average Loss  0.602248, Time  0.242779
2021-09-15 06:17:04.578982 : Epoch  8, Batch    558, Loss  0.602462, Average Loss  0.602190, Time  0.242010
2021-09-15 06:17:05.439352 : Epoch  2, Batch    705, Loss  0.867328, Average Loss  0.871735, Time  0.264055
2021-09-15 06:17:06.111984 : Epoch  8, Batch    559, Loss  0.599915, Average Loss  0.602154, Time  0.241727
2021-09-15 06:17:07.648433 : Epoch  8, Batch    560, Loss  0.610193, Average Loss  0.602234, Time  0.241688
2021-09-15 06:17:08.473477 : Epoch  2, Batch    706, Loss  0.877669, Average Loss  0.871823, Time  0.264784
2021-09-15 06:17:09.169410 : Epoch  8, Batch    561, Loss  0.612998, Average Loss  0.602311, Time  0.240954
2021-09-15 06:17:11.514247 : Epoch  2, Batch    707, Loss  0.876755, Average Loss  0.871789, Time  0.266616
2021-09-15 06:17:13.021971 : Epoch  8, Batch    562, Loss  0.609774, Average Loss  0.602312, Time  0.276121
2021-09-15 06:17:14.550666 : Epoch  2, Batch    708, Loss  0.879443, Average Loss  0.871884, Time  0.264198
2021-09-15 06:17:14.551396 : Epoch  8, Batch    563, Loss  0.610132, Average Loss  0.602400, Time  0.241829
2021-09-15 06:17:16.129934 : Epoch  8, Batch    564, Loss  0.588818, Average Loss  0.602406, Time  0.243527
2021-09-15 06:17:17.604432 : Epoch  2, Batch    709, Loss  0.878410, Average Loss  0.871837, Time  0.273097
2021-09-15 06:17:17.661394 : Epoch  8, Batch    565, Loss  0.600073, Average Loss  0.602371, Time  0.240753
2021-09-15 06:17:19.204218 : Epoch  8, Batch    566, Loss  0.592885, Average Loss  0.602365, Time  0.239239
2021-09-15 06:17:20.648634 : Epoch  2, Batch    710, Loss  0.850611, Average Loss  0.871860, Time  0.265916
2021-09-15 06:17:20.723852 : Epoch  8, Batch    567, Loss  0.603116, Average Loss  0.602347, Time  0.240709
2021-09-15 06:17:22.248846 : Epoch  8, Batch    568, Loss  0.587089, Average Loss  0.602238, Time  0.240268
2021-09-15 06:17:23.683957 : Epoch  2, Batch    711, Loss  0.887106, Average Loss  0.872004, Time  0.264962
2021-09-15 06:17:23.770269 : Epoch  8, Batch    569, Loss  0.603456, Average Loss  0.602223, Time  0.238680
2021-09-15 06:17:25.469528 : Epoch  8, Batch    570, Loss  0.602610, Average Loss  0.602196, Time  0.258946
2021-09-15 06:17:26.752870 : Epoch  2, Batch    712, Loss  0.891787, Average Loss  0.872136, Time  0.266269
2021-09-15 06:17:27.156450 : Epoch  8, Batch    571, Loss  0.608416, Average Loss  0.602192, Time  0.257988
2021-09-15 06:17:28.854374 : Epoch  8, Batch    572, Loss  0.598212, Average Loss  0.602179, Time  0.262790
2021-09-15 06:17:29.842637 : Epoch  2, Batch    713, Loss  0.887901, Average Loss  0.872282, Time  0.266244
2021-09-15 06:17:30.392399 : Epoch  8, Batch    573, Loss  0.596570, Average Loss  0.602177, Time  0.239453
2021-09-15 06:17:31.937429 : Epoch  8, Batch    574, Loss  0.596770, Average Loss  0.602156, Time  0.243084
2021-09-15 06:17:32.914856 : Epoch  2, Batch    714, Loss  0.868534, Average Loss  0.872233, Time  0.265490
2021-09-15 06:17:33.464264 : Epoch  8, Batch    575, Loss  0.600237, Average Loss  0.602121, Time  0.238551
2021-09-15 06:17:35.140769 : Epoch  8, Batch    576, Loss  0.615667, Average Loss  0.602209, Time  0.260040
2021-09-15 06:17:35.955780 : Epoch  2, Batch    715, Loss  0.849881, Average Loss  0.872194, Time  0.264749
2021-09-15 06:17:36.824954 : Epoch  8, Batch    577, Loss  0.590637, Average Loss  0.602213, Time  0.259186
2021-09-15 06:17:38.336619 : Epoch  8, Batch    578, Loss  0.622989, Average Loss  0.602277, Time  0.238605
2021-09-15 06:17:38.933715 : CheckPoint: Validation Loss  0.00025609, Best Loss  0.00024467
2021-09-15 06:17:39.010471 : Epoch  2, Batch    716, Loss  0.873489, Average Loss  0.872177, Time  0.265213
2021-09-15 06:17:39.865106 : Epoch  8, Batch    579, Loss  0.610747, Average Loss  0.602304, Time  0.242921
2021-09-15 06:17:40.510945 : Epoch  9, Batch    705, Loss  0.599729, Average Loss  0.601480, Time  0.256996
2021-09-15 06:17:41.406785 : Epoch  8, Batch    580, Loss  0.605448, Average Loss  0.602303, Time  0.240143
2021-09-15 06:17:42.066034 : Epoch  9, Batch    706, Loss  0.610229, Average Loss  0.601498, Time  0.239278
2021-09-15 06:17:42.073669 : Epoch  2, Batch    717, Loss  0.875780, Average Loss  0.872222, Time  0.265128
2021-09-15 06:17:42.934315 : Epoch  8, Batch    581, Loss  0.590983, Average Loss  0.602281, Time  0.239533
2021-09-15 06:17:43.612942 : Epoch  9, Batch    707, Loss  0.601104, Average Loss  0.601438, Time  0.230842
2021-09-15 06:17:44.610105 : Epoch  8, Batch    582, Loss  0.599546, Average Loss  0.602263, Time  0.259702
2021-09-15 06:17:45.139444 : Epoch  2, Batch    718, Loss  0.870361, Average Loss  0.872254, Time  0.265330
2021-09-15 06:17:45.156179 : Epoch  9, Batch    708, Loss  0.605133, Average Loss  0.601483, Time  0.231253
2021-09-15 06:17:46.301416 : Epoch  8, Batch    583, Loss  0.596254, Average Loss  0.602233, Time  0.257950
2021-09-15 06:17:46.734137 : Epoch  9, Batch    709, Loss  0.603502, Average Loss  0.601506, Time  0.231793
2021-09-15 06:17:47.839663 : Epoch  8, Batch    584, Loss  0.605627, Average Loss  0.602217, Time  0.239948
2021-09-15 06:17:48.173452 : Epoch  2, Batch    719, Loss  0.867547, Average Loss  0.872199, Time  0.264492
2021-09-15 06:17:48.270420 : Epoch  9, Batch    710, Loss  0.595011, Average Loss  0.601507, Time  0.231300
2021-09-15 06:17:49.361802 : Epoch  8, Batch    585, Loss  0.590665, Average Loss  0.602148, Time  0.242354
2021-09-15 06:17:49.818339 : Epoch  9, Batch    711, Loss  0.612102, Average Loss  0.601548, Time  0.231223
2021-09-15 06:17:50.881022 : Epoch  8, Batch    586, Loss  0.601782, Average Loss  0.602118, Time  0.239105
2021-09-15 06:17:51.209561 : Epoch  2, Batch    720, Loss  0.846626, Average Loss  0.872039, Time  0.264895
2021-09-15 06:17:51.371588 : Epoch  9, Batch    712, Loss  0.603715, Average Loss  0.601518, Time  0.231329
2021-09-15 06:17:52.412987 : Epoch  8, Batch    587, Loss  0.594359, Average Loss  0.602088, Time  0.238675
2021-09-15 06:17:52.911943 : Epoch  9, Batch    713, Loss  0.596406, Average Loss  0.601511, Time  0.231567
2021-09-15 06:17:53.955915 : Epoch  8, Batch    588, Loss  0.592178, Average Loss  0.602024, Time  0.242674
2021-09-15 06:17:54.248791 : Epoch  2, Batch    721, Loss  0.888011, Average Loss  0.872189, Time  0.264665
2021-09-15 06:17:54.447589 : Epoch  9, Batch    714, Loss  0.597394, Average Loss  0.601526, Time  0.231557
2021-09-15 06:17:55.503248 : Epoch  8, Batch    589, Loss  0.606345, Average Loss  0.602054, Time  0.243772
2021-09-15 06:17:56.023102 : Epoch  9, Batch    715, Loss  0.602054, Average Loss  0.601487, Time  0.231448
2021-09-15 06:17:57.034472 : Epoch  8, Batch    590, Loss  0.599962, Average Loss  0.602024, Time  0.240120
2021-09-15 06:17:57.271500 : Epoch  2, Batch    722, Loss  0.862088, Average Loss  0.872167, Time  0.264444
2021-09-15 06:17:57.570327 : Epoch  9, Batch    716, Loss  0.602776, Average Loss  0.601548, Time  0.231196
2021-09-15 06:17:58.722750 : Epoch  8, Batch    591, Loss  0.603321, Average Loss  0.602071, Time  0.258150
2021-09-15 06:17:59.112273 : Epoch  9, Batch    717, Loss  0.602366, Average Loss  0.601517, Time  0.231320
2021-09-15 06:18:00.309483 : Epoch  2, Batch    723, Loss  0.888512, Average Loss  0.872309, Time  0.264520
2021-09-15 06:18:00.646645 : Epoch  9, Batch    718, Loss  0.612482, Average Loss  0.601563, Time  0.231524
2021-09-15 06:18:02.183114 : Epoch  9, Batch    719, Loss  0.603013, Average Loss  0.601617, Time  0.233001
2021-09-15 06:18:03.369288 : Epoch  2, Batch    724, Loss  0.862649, Average Loss  0.872296, Time  0.274777
2021-09-15 06:18:03.724382 : Epoch  9, Batch    720, Loss  0.597966, Average Loss  0.601631, Time  0.232152
2021-09-15 06:18:05.268348 : Epoch  9, Batch    721, Loss  0.612680, Average Loss  0.601695, Time  0.231117
2021-09-15 06:18:06.403710 : Epoch  2, Batch    725, Loss  0.860438, Average Loss  0.872269, Time  0.265598
2021-09-15 06:18:06.813149 : Epoch  9, Batch    722, Loss  0.596465, Average Loss  0.601683, Time  0.231345
2021-09-15 06:18:08.356212 : Epoch  9, Batch    723, Loss  0.600364, Average Loss  0.601583, Time  0.232812
2021-09-15 06:18:09.470512 : Epoch  2, Batch    726, Loss  0.883015, Average Loss  0.872393, Time  0.265173
2021-09-15 06:18:09.896355 : Epoch  9, Batch    724, Loss  0.602638, Average Loss  0.601552, Time  0.231798
2021-09-15 06:18:11.438683 : Epoch  9, Batch    725, Loss  0.596176, Average Loss  0.601520, Time  0.231438
2021-09-15 06:18:12.548642 : Epoch  2, Batch    727, Loss  0.872096, Average Loss  0.872411, Time  0.265806
2021-09-15 06:18:12.985722 : Epoch  9, Batch    726, Loss  0.606220, Average Loss  0.601561, Time  0.231149
2021-09-15 06:18:14.522228 : Epoch  9, Batch    727, Loss  0.603514, Average Loss  0.601571, Time  0.232106
2021-09-15 06:18:15.584572 : Epoch  2, Batch    728, Loss  0.869353, Average Loss  0.872333, Time  0.264469
2021-09-15 06:18:16.071087 : Epoch  9, Batch    728, Loss  0.600287, Average Loss  0.601573, Time  0.232118
2021-09-15 06:18:17.602991 : Epoch  9, Batch    729, Loss  0.608301, Average Loss  0.601553, Time  0.231299
2021-09-15 06:18:18.615813 : Epoch  2, Batch    729, Loss  0.861203, Average Loss  0.872243, Time  0.265758
2021-09-15 06:18:19.149972 : Epoch  9, Batch    730, Loss  0.604012, Average Loss  0.601586, Time  0.231247
2021-09-15 06:18:20.701325 : Epoch  9, Batch    731, Loss  0.612699, Average Loss  0.601614, Time  0.231393
2021-09-15 06:18:21.654417 : Epoch  2, Batch    730, Loss  0.868030, Average Loss  0.872223, Time  0.266150
2021-09-15 06:18:22.240805 : Epoch  9, Batch    732, Loss  0.592858, Average Loss  0.601483, Time  0.231225
2021-09-15 06:18:23.783141 : Epoch  9, Batch    733, Loss  0.592438, Average Loss  0.601478, Time  0.230875
2021-09-15 06:18:24.702052 : Epoch  2, Batch    731, Loss  0.858447, Average Loss  0.872220, Time  0.265258
2021-09-15 06:18:25.339347 : Epoch  9, Batch    734, Loss  0.598348, Average Loss  0.601460, Time  0.231383
2021-09-15 06:18:26.879262 : Epoch  9, Batch    735, Loss  0.604244, Average Loss  0.601558, Time  0.231230
2021-09-15 06:18:27.791291 : Epoch  2, Batch    732, Loss  0.892104, Average Loss  0.872331, Time  0.265576
2021-09-15 06:18:28.422087 : Epoch  9, Batch    736, Loss  0.605578, Average Loss  0.601593, Time  0.231041
2021-09-15 06:18:29.968365 : Epoch  9, Batch    737, Loss  0.620269, Average Loss  0.601691, Time  0.231032
2021-09-15 06:18:30.830445 : Epoch  2, Batch    733, Loss  0.853632, Average Loss  0.872274, Time  0.265594
2021-09-15 06:18:31.506662 : Epoch  9, Batch    738, Loss  0.607116, Average Loss  0.601692, Time  0.231349
2021-09-15 06:18:33.051535 : Epoch  9, Batch    739, Loss  0.596692, Average Loss  0.601641, Time  0.231168
2021-09-15 06:18:33.878362 : Epoch  2, Batch    734, Loss  0.886834, Average Loss  0.872374, Time  0.264760
2021-09-15 06:18:34.589937 : Epoch  9, Batch    740, Loss  0.612484, Average Loss  0.601677, Time  0.231475
2021-09-15 06:18:36.123739 : Epoch  9, Batch    741, Loss  0.598938, Average Loss  0.601643, Time  0.231450
2021-09-15 06:18:36.910757 : Epoch  2, Batch    735, Loss  0.873622, Average Loss  0.872423, Time  0.264327
2021-09-15 06:18:37.657731 : Epoch  9, Batch    742, Loss  0.596777, Average Loss  0.601608, Time  0.231572
2021-09-15 06:18:39.207378 : Epoch  9, Batch    743, Loss  0.611840, Average Loss  0.601662, Time  0.236048
2021-09-15 06:18:39.970556 : Epoch  2, Batch    736, Loss  0.863044, Average Loss  0.872342, Time  0.264859
2021-09-15 06:18:40.752661 : Epoch  9, Batch    744, Loss  0.599902, Average Loss  0.601581, Time  0.231701
2021-09-15 06:18:42.294060 : Epoch  9, Batch    745, Loss  0.603070, Average Loss  0.601653, Time  0.231832
2021-09-15 06:18:43.001233 : Epoch  2, Batch    737, Loss  0.869305, Average Loss  0.872329, Time  0.265836
2021-09-15 06:18:43.839629 : Epoch  9, Batch    746, Loss  0.612431, Average Loss  0.601718, Time  0.231264
2021-09-15 06:18:45.381128 : Epoch  9, Batch    747, Loss  0.607870, Average Loss  0.601746, Time  0.231878
2021-09-15 06:18:46.069570 : Epoch  2, Batch    738, Loss  0.859983, Average Loss  0.872307, Time  0.265610
2021-09-15 06:18:46.926860 : Epoch  9, Batch    748, Loss  0.598556, Average Loss  0.601722, Time  0.231196
2021-09-15 06:18:48.475402 : Epoch  9, Batch    749, Loss  0.601580, Average Loss  0.601686, Time  0.232790
2021-09-15 06:18:49.151822 : Epoch  2, Batch    739, Loss  0.864052, Average Loss  0.872323, Time  0.275019
2021-09-15 06:18:50.020919 : Epoch  9, Batch    750, Loss  0.598584, Average Loss  0.601696, Time  0.230694
2021-09-15 06:18:51.566830 : Epoch  9, Batch    751, Loss  0.599864, Average Loss  0.601711, Time  0.230684
2021-09-15 06:18:52.194268 : Epoch  2, Batch    740, Loss  0.864952, Average Loss  0.872369, Time  0.264701
2021-09-15 06:18:53.101845 : Epoch  9, Batch    752, Loss  0.606564, Average Loss  0.601738, Time  0.230563
2021-09-15 06:18:54.644415 : Epoch  9, Batch    753, Loss  0.607636, Average Loss  0.601729, Time  0.231956
2021-09-15 06:18:55.222692 : Epoch  2, Batch    741, Loss  0.875412, Average Loss  0.872408, Time  0.265287
2021-09-15 06:18:55.767713 : CheckPoint: Validation Loss  0.00025338, Best Loss  0.00024341
2021-09-15 06:18:56.182317 : Epoch  9, Batch    754, Loss  0.597832, Average Loss  0.601711, Time  0.231296
2021-09-15 06:18:57.295922 : Epoch  8, Batch    592, Loss  0.593728, Average Loss  0.602043, Time  0.239382
2021-09-15 06:18:57.730044 : Epoch  9, Batch    755, Loss  0.599565, Average Loss  0.601723, Time  0.231027
2021-09-15 06:18:58.249528 : Epoch  2, Batch    742, Loss  0.864050, Average Loss  0.872418, Time  0.264460
2021-09-15 06:18:58.835826 : Epoch  8, Batch    593, Loss  0.602451, Average Loss  0.601962, Time  0.241584
2021-09-15 06:18:59.261900 : Epoch  9, Batch    756, Loss  0.600487, Average Loss  0.601718, Time  0.230867
2021-09-15 06:19:00.376180 : Epoch  8, Batch    594, Loss  0.601147, Average Loss  0.602006, Time  0.239950
2021-09-15 06:19:00.791330 : Epoch  9, Batch    757, Loss  0.604816, Average Loss  0.601690, Time  0.230853
2021-09-15 06:19:01.312989 : Epoch  2, Batch    743, Loss  0.860788, Average Loss  0.872443, Time  0.265575
2021-09-15 06:19:01.908381 : Epoch  8, Batch    595, Loss  0.596825, Average Loss  0.602015, Time  0.240755
2021-09-15 06:19:02.318715 : Epoch  9, Batch    758, Loss  0.601234, Average Loss  0.601669, Time  0.231415
2021-09-15 06:19:03.441404 : Epoch  8, Batch    596, Loss  0.607067, Average Loss  0.602083, Time  0.239051
2021-09-15 06:19:03.848319 : Epoch  9, Batch    759, Loss  0.615374, Average Loss  0.601686, Time  0.231338
2021-09-15 06:19:04.357749 : Epoch  2, Batch    744, Loss  0.878343, Average Loss  0.872413, Time  0.265010
2021-09-15 06:19:04.993431 : Epoch  8, Batch    597, Loss  0.585398, Average Loss  0.601952, Time  0.239646
2021-09-15 06:19:05.392090 : Epoch  9, Batch    760, Loss  0.595875, Average Loss  0.601679, Time  0.230661
2021-09-15 06:19:06.526184 : Epoch  8, Batch    598, Loss  0.600106, Average Loss  0.601932, Time  0.239756
2021-09-15 06:19:06.931994 : Epoch  9, Batch    761, Loss  0.603861, Average Loss  0.601658, Time  0.230738
2021-09-15 06:19:08.048896 : Epoch  8, Batch    599, Loss  0.591672, Average Loss  0.601852, Time  0.239023
2021-09-15 06:19:08.465566 : Epoch  9, Batch    762, Loss  0.591662, Average Loss  0.601619, Time  0.230961
2021-09-15 06:19:09.579768 : Epoch  8, Batch    600, Loss  0.598339, Average Loss  0.601829, Time  0.239307
2021-09-15 06:19:09.995280 : Epoch  9, Batch    763, Loss  0.598252, Average Loss  0.601612, Time  0.231077
2021-09-15 06:19:11.111884 : Epoch  8, Batch    601, Loss  0.605183, Average Loss  0.601790, Time  0.241257
2021-09-15 06:19:11.530003 : Epoch  9, Batch    764, Loss  0.607990, Average Loss  0.601665, Time  0.231024
2021-09-15 06:19:12.662886 : Epoch  8, Batch    602, Loss  0.588135, Average Loss  0.601747, Time  0.242088
2021-09-15 06:19:13.059649 : Epoch  9, Batch    765, Loss  0.600927, Average Loss  0.601625, Time  0.232702
2021-09-15 06:19:14.192375 : Epoch  8, Batch    603, Loss  0.592356, Average Loss  0.601752, Time  0.240092
2021-09-15 06:19:14.594596 : Epoch  9, Batch    766, Loss  0.581726, Average Loss  0.601572, Time  0.232933
2021-09-15 06:19:14.711743 : Epoch  9, Batch    767, Loss  0.560447, Average Loss  0.601309, Time  0.090823
2021-09-15 06:19:15.750276 : Epoch  8, Batch    604, Loss  0.600431, Average Loss  0.601764, Time  0.240780
2021-09-15 06:19:16.243096 : Epoch  9, Batch    768, Loss  0.605116, Average Loss  0.601310, Time  0.231067
2021-09-15 06:19:17.284094 : Epoch  8, Batch    605, Loss  0.610903, Average Loss  0.601759, Time  0.241100
2021-09-15 06:19:17.764499 : Epoch  9, Batch    769, Loss  0.596551, Average Loss  0.601308, Time  0.230036
2021-09-15 06:19:18.812828 : Epoch  8, Batch    606, Loss  0.610362, Average Loss  0.601731, Time  0.240710
2021-09-15 06:19:19.290496 : Epoch  9, Batch    770, Loss  0.606451, Average Loss  0.601371, Time  0.230353
2021-09-15 06:19:20.339349 : Epoch  8, Batch    607, Loss  0.599351, Average Loss  0.601737, Time  0.238088
2021-09-15 06:19:20.816928 : Epoch  9, Batch    771, Loss  0.586074, Average Loss  0.601315, Time  0.231305
2021-09-15 06:19:21.864051 : Epoch  8, Batch    608, Loss  0.605866, Average Loss  0.601730, Time  0.238271
2021-09-15 06:19:22.351347 : Epoch  9, Batch    772, Loss  0.607365, Average Loss  0.601324, Time  0.230944
2021-09-15 06:19:23.566502 : Epoch  8, Batch    609, Loss  0.609374, Average Loss  0.601839, Time  0.260258
2021-09-15 06:19:23.882077 : Epoch  9, Batch    773, Loss  0.606367, Average Loss  0.601401, Time  0.230901
2021-09-15 06:19:25.255088 : Epoch  8, Batch    610, Loss  0.592147, Average Loss  0.601790, Time  0.260381
2021-09-15 06:19:25.413211 : Epoch  9, Batch    774, Loss  0.611053, Average Loss  0.601439, Time  0.232175
2021-09-15 06:19:26.954991 : Epoch  8, Batch    611, Loss  0.615092, Average Loss  0.601832, Time  0.260193
2021-09-15 06:19:26.983885 : Epoch  9, Batch    775, Loss  0.606204, Average Loss  0.601491, Time  0.241492
2021-09-15 06:19:28.481801 : Epoch  8, Batch    612, Loss  0.599822, Average Loss  0.601771, Time  0.240967
2021-09-15 06:19:30.028041 : Epoch  8, Batch    613, Loss  0.602962, Average Loss  0.601793, Time  0.243658
2021-09-15 06:19:30.896356 : Epoch  9, Batch    776, Loss  0.607154, Average Loss  0.601481, Time  0.273002
2021-09-15 06:19:31.552947 : Epoch  8, Batch    614, Loss  0.612473, Average Loss  0.601825, Time  0.240644
2021-09-15 06:19:32.464064 : Epoch  9, Batch    777, Loss  0.592489, Average Loss  0.601422, Time  0.249548
2021-09-15 06:19:33.088365 : Epoch  8, Batch    615, Loss  0.605279, Average Loss  0.601832, Time  0.242049
2021-09-15 06:19:33.998033 : Epoch  9, Batch    778, Loss  0.602682, Average Loss  0.601456, Time  0.231372
2021-09-15 06:19:34.633031 : Epoch  8, Batch    616, Loss  0.602929, Average Loss  0.601808, Time  0.244135
2021-09-15 06:19:35.535019 : Epoch  9, Batch    779, Loss  0.604738, Average Loss  0.601494, Time  0.231503
2021-09-15 06:19:36.161794 : Epoch  8, Batch    617, Loss  0.595755, Average Loss  0.601755, Time  0.239999
2021-09-15 06:19:37.071150 : Epoch  9, Batch    780, Loss  0.593208, Average Loss  0.601451, Time  0.230999
2021-09-15 06:19:37.691952 : Epoch  8, Batch    618, Loss  0.602312, Average Loss  0.601755, Time  0.247969
2021-09-15 06:19:38.618565 : Epoch  9, Batch    781, Loss  0.605418, Average Loss  0.601441, Time  0.231325
2021-09-15 06:19:39.212955 : Epoch  8, Batch    619, Loss  0.594896, Average Loss  0.601722, Time  0.240620
2021-09-15 06:19:40.169451 : Epoch  9, Batch    782, Loss  0.607762, Average Loss  0.601457, Time  0.231975
2021-09-15 06:19:40.776872 : Epoch  8, Batch    620, Loss  0.600519, Average Loss  0.601800, Time  0.242909
2021-09-15 06:19:41.714134 : Epoch  9, Batch    783, Loss  0.602632, Average Loss  0.601429, Time  0.230922
2021-09-15 06:19:42.303139 : Epoch  8, Batch    621, Loss  0.600437, Average Loss  0.601773, Time  0.242061
2021-09-15 06:19:43.253283 : Epoch  9, Batch    784, Loss  0.605796, Average Loss  0.601375, Time  0.230996
2021-09-15 06:19:43.831411 : Epoch  8, Batch    622, Loss  0.591627, Average Loss  0.601786, Time  0.238830
2021-09-15 06:19:44.812340 : Epoch  9, Batch    785, Loss  0.607102, Average Loss  0.601357, Time  0.230915
2021-09-15 06:19:45.364980 : Epoch  8, Batch    623, Loss  0.598183, Average Loss  0.601795, Time  0.240480
2021-09-15 06:19:46.350313 : Epoch  9, Batch    786, Loss  0.597733, Average Loss  0.601406, Time  0.230916
2021-09-15 06:19:46.926893 : Epoch  8, Batch    624, Loss  0.600052, Average Loss  0.601791, Time  0.242739
2021-09-15 06:19:47.898370 : Epoch  9, Batch    787, Loss  0.602404, Average Loss  0.601418, Time  0.231034
2021-09-15 06:19:47.937571 : Saving Model after 9-th Epoch.
2021-09-15 06:19:48.449378 : Epoch  8, Batch    625, Loss  0.623958, Average Loss  0.601928, Time  0.240356
2021-09-15 06:19:48.848900 : Epoch Finished.
2021-09-15 06:19:49.999319 : Epoch  8, Batch    626, Loss  0.601376, Average Loss  0.602042, Time  0.240385
2021-09-15 06:19:50.972601 : Batch Shuffled
2021-09-15 06:19:51.560799 : Epoch  8, Batch    627, Loss  0.593818, Average Loss  0.602039, Time  0.240999
2021-09-15 06:19:52.513232 : Epoch 10, Batch      1, Loss  0.607353, Average Loss  0.601414, Time  0.231271
2021-09-15 06:19:53.092859 : Epoch  8, Batch    628, Loss  0.601006, Average Loss  0.602034, Time  0.238953
2021-09-15 06:19:54.061406 : Epoch 10, Batch      2, Loss  0.608751, Average Loss  0.601418, Time  0.231681
2021-09-15 06:19:54.614900 : Epoch  8, Batch    629, Loss  0.608160, Average Loss  0.602071, Time  0.238272
2021-09-15 06:19:55.610364 : Epoch 10, Batch      3, Loss  0.600024, Average Loss  0.601370, Time  0.232823
2021-09-15 06:19:56.299459 : Epoch  8, Batch    630, Loss  0.600827, Average Loss  0.602080, Time  0.257207
2021-09-15 06:19:57.160848 : Epoch 10, Batch      4, Loss  0.604708, Average Loss  0.601417, Time  0.231575
2021-09-15 06:19:57.838840 : Epoch  8, Batch    631, Loss  0.601770, Average Loss  0.602136, Time  0.241729
2021-09-15 06:19:58.710133 : Epoch 10, Batch      5, Loss  0.602572, Average Loss  0.601397, Time  0.231447
2021-09-15 06:19:59.371826 : Epoch  8, Batch    632, Loss  0.607600, Average Loss  0.602207, Time  0.240782
2021-09-15 06:20:00.258891 : Epoch 10, Batch      6, Loss  0.608899, Average Loss  0.601463, Time  0.231906
2021-09-15 06:20:00.893096 : Epoch  8, Batch    633, Loss  0.613309, Average Loss  0.602262, Time  0.241056
2021-09-15 06:20:01.810391 : Epoch 10, Batch      7, Loss  0.610191, Average Loss  0.601535, Time  0.232065
2021-09-15 06:20:02.413939 : Epoch  8, Batch    634, Loss  0.609972, Average Loss  0.602283, Time  0.241201
2021-09-15 06:20:03.361977 : Epoch 10, Batch      8, Loss  0.601393, Average Loss  0.601474, Time  0.231042
2021-09-15 06:20:03.935724 : Epoch  8, Batch    635, Loss  0.616131, Average Loss  0.602402, Time  0.237952
2021-09-15 06:20:04.910767 : Epoch 10, Batch      9, Loss  0.611554, Average Loss  0.601531, Time  0.234085
2021-09-15 06:20:05.483980 : Epoch  8, Batch    636, Loss  0.593097, Average Loss  0.602369, Time  0.242997
2021-09-15 06:20:06.473422 : Epoch 10, Batch     10, Loss  0.597711, Average Loss  0.601493, Time  0.231340
2021-09-15 06:20:07.010927 : Epoch  8, Batch    637, Loss  0.605938, Average Loss  0.602376, Time  0.239767
2021-09-15 06:20:08.014344 : Epoch 10, Batch     11, Loss  0.603962, Average Loss  0.601508, Time  0.231406
2021-09-15 06:20:08.532792 : Epoch  8, Batch    638, Loss  0.604240, Average Loss  0.602373, Time  0.240820
2021-09-15 06:20:09.559869 : Epoch 10, Batch     12, Loss  0.597157, Average Loss  0.601504, Time  0.231221
2021-09-15 06:20:10.065907 : Epoch  8, Batch    639, Loss  0.602327, Average Loss  0.602387, Time  0.240534
2021-09-15 06:20:11.102992 : Epoch 10, Batch     13, Loss  0.594985, Average Loss  0.601554, Time  0.229844
2021-09-15 06:20:11.590934 : Epoch  8, Batch    640, Loss  0.609827, Average Loss  0.602373, Time  0.241755
2021-09-15 06:20:12.654903 : Epoch 10, Batch     14, Loss  0.601068, Average Loss  0.601516, Time  0.232450
2021-09-15 06:20:13.109372 : Epoch  8, Batch    641, Loss  0.599791, Average Loss  0.602366, Time  0.238999
2021-09-15 06:20:14.205854 : Epoch 10, Batch     15, Loss  0.599669, Average Loss  0.601507, Time  0.231729
2021-09-15 06:20:14.619814 : Epoch  8, Batch    642, Loss  0.596700, Average Loss  0.602299, Time  0.239344
2021-09-15 06:20:15.751379 : Epoch 10, Batch     16, Loss  0.610235, Average Loss  0.601556, Time  0.230957
2021-09-15 06:20:16.129428 : Epoch  8, Batch    643, Loss  0.613143, Average Loss  0.602401, Time  0.240518
2021-09-15 06:20:17.302201 : Epoch 10, Batch     17, Loss  0.595825, Average Loss  0.601577, Time  0.233617
2021-09-15 06:20:17.639816 : Epoch  8, Batch    644, Loss  0.597565, Average Loss  0.602354, Time  0.237955
2021-09-15 06:20:19.146347 : Epoch  8, Batch    645, Loss  0.608253, Average Loss  0.602399, Time  0.239836
2021-09-15 06:20:20.674922 : Epoch  8, Batch    646, Loss  0.616268, Average Loss  0.602480, Time  0.240957
2021-09-15 06:20:22.201923 : Epoch  8, Batch    647, Loss  0.605677, Average Loss  0.602502, Time  0.240948
2021-09-15 06:20:23.732939 : Epoch  8, Batch    648, Loss  0.601443, Average Loss  0.602524, Time  0.240327
2021-09-15 06:20:25.264049 : Epoch  8, Batch    649, Loss  0.596241, Average Loss  0.602521, Time  0.239011
2021-09-15 06:20:26.924392 : Epoch  8, Batch    650, Loss  0.601108, Average Loss  0.602516, Time  0.239034
2021-09-15 06:20:28.604958 : Epoch  8, Batch    651, Loss  0.602366, Average Loss  0.602564, Time  0.259042
2021-09-15 06:20:30.289974 : Epoch  8, Batch    652, Loss  0.589177, Average Loss  0.602477, Time  0.260315
2021-09-15 06:20:31.988936 : Epoch  8, Batch    653, Loss  0.596274, Average Loss  0.602426, Time  0.262253
2021-09-15 06:20:33.676814 : Epoch  8, Batch    654, Loss  0.594729, Average Loss  0.602398, Time  0.259873
2021-09-15 06:20:35.357397 : Epoch  8, Batch    655, Loss  0.596115, Average Loss  0.602326, Time  0.259660
2021-09-15 06:20:37.042811 : Epoch  8, Batch    656, Loss  0.603105, Average Loss  0.602323, Time  0.259386
2021-09-15 06:20:38.738793 : Epoch  8, Batch    657, Loss  0.605792, Average Loss  0.602350, Time  0.262818
2021-09-15 06:20:40.431143 : Epoch  8, Batch    658, Loss  0.596155, Average Loss  0.602416, Time  0.258301
2021-09-15 06:20:42.111380 : Epoch  8, Batch    659, Loss  0.607449, Average Loss  0.602423, Time  0.260005
2021-09-15 06:20:43.786114 : Epoch  8, Batch    660, Loss  0.593614, Average Loss  0.602327, Time  0.259799
2021-09-15 06:20:45.465014 : Epoch  8, Batch    661, Loss  0.605717, Average Loss  0.602351, Time  0.259706
2021-09-15 06:20:49.491498 : Epoch  8, Batch    662, Loss  0.597244, Average Loss  0.602330, Time  0.285520
2021-09-15 06:20:51.040273 : Epoch  8, Batch    663, Loss  0.604524, Average Loss  0.602351, Time  0.249048
2021-09-15 06:20:52.574945 : Epoch  8, Batch    664, Loss  0.612766, Average Loss  0.602458, Time  0.239503
2021-09-15 06:20:54.103368 : Epoch  8, Batch    665, Loss  0.608193, Average Loss  0.602417, Time  0.239552
2021-09-15 06:20:55.623299 : Epoch  8, Batch    666, Loss  0.613293, Average Loss  0.602537, Time  0.242077
2021-09-15 06:20:57.148368 : Epoch  8, Batch    667, Loss  0.593157, Average Loss  0.602435, Time  0.238955
2021-09-15 06:20:58.688969 : Epoch  8, Batch    668, Loss  0.610132, Average Loss  0.602487, Time  0.238390
2021-09-15 06:21:00.208547 : Epoch  8, Batch    669, Loss  0.611327, Average Loss  0.602567, Time  0.239654
2021-09-15 06:21:01.726379 : Epoch  8, Batch    670, Loss  0.608958, Average Loss  0.602600, Time  0.240473
2021-09-15 06:21:03.253802 : Epoch  8, Batch    671, Loss  0.602192, Average Loss  0.602607, Time  0.237873
2021-09-15 06:21:04.948487 : Epoch  8, Batch    672, Loss  0.599081, Average Loss  0.602563, Time  0.260203
2021-09-15 06:21:06.624426 : Epoch  8, Batch    673, Loss  0.581572, Average Loss  0.602518, Time  0.257209
2021-09-15 06:21:08.300898 : Epoch  8, Batch    674, Loss  0.599057, Average Loss  0.602521, Time  0.257848
2021-09-15 06:21:09.836448 : Epoch  8, Batch    675, Loss  0.610711, Average Loss  0.602531, Time  0.240703
2021-09-15 06:21:11.368785 : Epoch  8, Batch    676, Loss  0.598292, Average Loss  0.602502, Time  0.238170
2021-09-15 06:21:12.889583 : Epoch  8, Batch    677, Loss  0.595112, Average Loss  0.602470, Time  0.238044
2021-09-15 06:21:14.410140 : Epoch  8, Batch    678, Loss  0.599934, Average Loss  0.602528, Time  0.238644
2021-09-15 06:21:15.274725 : CheckPoint: Validation Loss  0.00025208, Best Loss  0.00024467
2021-09-15 06:21:16.070587 : Epoch  8, Batch    679, Loss  0.619033, Average Loss  0.602613, Time  0.239278
2021-09-15 06:21:16.865056 : Epoch 10, Batch     18, Loss  0.602240, Average Loss  0.601587, Time  0.268225
2021-09-15 06:21:17.585410 : Epoch  8, Batch    680, Loss  0.600830, Average Loss  0.602561, Time  0.238559
2021-09-15 06:21:18.416626 : Epoch 10, Batch     19, Loss  0.593842, Average Loss  0.601524, Time  0.234271
2021-09-15 06:21:19.280873 : Epoch  8, Batch    681, Loss  0.601750, Average Loss  0.602531, Time  0.258911
2021-09-15 06:21:19.972415 : Epoch 10, Batch     20, Loss  0.607826, Average Loss  0.601547, Time  0.231387
2021-09-15 06:21:20.963761 : Epoch  8, Batch    682, Loss  0.590676, Average Loss  0.602501, Time  0.259859
2021-09-15 06:21:21.518847 : Epoch 10, Batch     21, Loss  0.606537, Average Loss  0.601590, Time  0.231048
2021-09-15 06:21:22.635409 : Epoch  8, Batch    683, Loss  0.602456, Average Loss  0.602467, Time  0.258047
2021-09-15 06:21:23.079833 : Epoch 10, Batch     22, Loss  0.600714, Average Loss  0.601572, Time  0.231374
2021-09-15 06:21:24.319449 : Epoch  8, Batch    684, Loss  0.593098, Average Loss  0.602378, Time  0.258546
2021-09-15 06:21:24.642299 : Epoch 10, Batch     23, Loss  0.596730, Average Loss  0.601521, Time  0.231406
2021-09-15 06:21:25.852468 : Epoch  8, Batch    685, Loss  0.601208, Average Loss  0.602330, Time  0.239801
2021-09-15 06:21:26.183821 : Epoch 10, Batch     24, Loss  0.593036, Average Loss  0.601533, Time  0.231163
2021-09-15 06:21:27.525414 : Epoch  8, Batch    686, Loss  0.610334, Average Loss  0.602269, Time  0.258726
2021-09-15 06:21:27.728560 : Epoch 10, Batch     25, Loss  0.604028, Average Loss  0.601619, Time  0.231390
2021-09-15 06:21:29.201044 : Epoch  8, Batch    687, Loss  0.606964, Average Loss  0.602228, Time  0.257827
2021-09-15 06:21:29.271882 : Epoch 10, Batch     26, Loss  0.620040, Average Loss  0.601703, Time  0.231333
2021-09-15 06:21:30.823144 : Epoch 10, Batch     27, Loss  0.592383, Average Loss  0.601628, Time  0.231990
2021-09-15 06:21:30.888842 : Epoch  8, Batch    688, Loss  0.597471, Average Loss  0.602189, Time  0.260336
2021-09-15 06:21:32.368870 : Epoch 10, Batch     28, Loss  0.607745, Average Loss  0.601770, Time  0.231432
2021-09-15 06:21:32.569817 : Epoch  8, Batch    689, Loss  0.599976, Average Loss  0.602189, Time  0.259100
2021-09-15 06:21:33.918349 : Epoch 10, Batch     29, Loss  0.598727, Average Loss  0.601724, Time  0.231757
2021-09-15 06:21:34.083830 : Epoch  8, Batch    690, Loss  0.596675, Average Loss  0.602201, Time  0.238370
2021-09-15 06:21:35.465376 : Epoch 10, Batch     30, Loss  0.604831, Average Loss  0.601723, Time  0.231254
2021-09-15 06:21:35.599298 : Epoch  8, Batch    691, Loss  0.598196, Average Loss  0.602103, Time  0.239257
2021-09-15 06:21:37.018799 : Epoch 10, Batch     31, Loss  0.614182, Average Loss  0.601766, Time  0.232750
2021-09-15 06:21:38.574977 : Epoch 10, Batch     32, Loss  0.607924, Average Loss  0.601784, Time  0.231396
2021-09-15 06:21:40.127805 : Epoch 10, Batch     33, Loss  0.595137, Average Loss  0.601755, Time  0.232015
2021-09-15 06:21:41.683455 : Epoch 10, Batch     34, Loss  0.607994, Average Loss  0.601829, Time  0.232037
2021-09-15 06:21:43.243174 : Epoch 10, Batch     35, Loss  0.616467, Average Loss  0.601881, Time  0.231491
2021-09-15 06:21:44.794017 : Epoch 10, Batch     36, Loss  0.592086, Average Loss  0.601904, Time  0.233979
2021-09-15 06:21:46.341052 : Epoch 10, Batch     37, Loss  0.602192, Average Loss  0.601929, Time  0.231101
2021-09-15 06:21:47.895325 : Epoch 10, Batch     38, Loss  0.607348, Average Loss  0.601937, Time  0.231826
2021-09-15 06:21:49.454109 : Epoch 10, Batch     39, Loss  0.598114, Average Loss  0.601937, Time  0.231579
2021-09-15 06:21:50.999369 : Epoch 10, Batch     40, Loss  0.593109, Average Loss  0.601862, Time  0.231392
2021-09-15 06:21:52.557849 : Epoch 10, Batch     41, Loss  0.601924, Average Loss  0.601893, Time  0.235549
2021-09-15 06:21:54.115587 : Epoch 10, Batch     42, Loss  0.605352, Average Loss  0.601911, Time  0.231265
2021-09-15 06:21:55.666120 : Epoch 10, Batch     43, Loss  0.618408, Average Loss  0.601979, Time  0.231353
2021-09-15 06:21:57.217980 : Epoch 10, Batch     44, Loss  0.602099, Average Loss  0.601974, Time  0.231179
2021-09-15 06:21:58.765648 : Epoch 10, Batch     45, Loss  0.616676, Average Loss  0.602027, Time  0.231129
2021-09-15 06:22:00.313659 : Epoch 10, Batch     46, Loss  0.591084, Average Loss  0.601977, Time  0.231401
2021-09-15 06:22:01.864590 : Epoch 10, Batch     47, Loss  0.604784, Average Loss  0.601971, Time  0.231946
2021-09-15 06:22:03.414259 : Epoch 10, Batch     48, Loss  0.598464, Average Loss  0.601930, Time  0.231289
2021-09-15 06:22:04.965321 : Epoch 10, Batch     49, Loss  0.600466, Average Loss  0.601933, Time  0.230967
2021-09-15 06:22:06.514014 : Epoch 10, Batch     50, Loss  0.598302, Average Loss  0.601894, Time  0.231254
2021-09-15 06:22:08.066656 : Epoch 10, Batch     51, Loss  0.608507, Average Loss  0.601975, Time  0.231157
2021-09-15 06:22:09.616643 : Epoch 10, Batch     52, Loss  0.608836, Average Loss  0.602033, Time  0.231524
2021-09-15 06:22:11.177772 : Epoch 10, Batch     53, Loss  0.611739, Average Loss  0.602097, Time  0.231774
2021-09-15 06:22:12.737005 : Epoch 10, Batch     54, Loss  0.608723, Average Loss  0.602067, Time  0.231467
2021-09-15 06:22:14.292173 : Epoch 10, Batch     55, Loss  0.595262, Average Loss  0.602008, Time  0.233032
2021-09-15 06:22:15.843277 : Epoch 10, Batch     56, Loss  0.606445, Average Loss  0.601943, Time  0.231144
2021-09-15 06:22:17.391832 : Epoch 10, Batch     57, Loss  0.599156, Average Loss  0.601941, Time  0.231418
2021-09-15 06:22:18.942103 : Epoch 10, Batch     58, Loss  0.610312, Average Loss  0.602009, Time  0.232795
2021-09-15 06:22:20.499368 : Epoch 10, Batch     59, Loss  0.591918, Average Loss  0.601954, Time  0.231384
2021-09-15 06:22:22.053398 : Epoch 10, Batch     60, Loss  0.603626, Average Loss  0.601952, Time  0.231307
2021-09-15 06:22:23.613977 : Epoch 10, Batch     61, Loss  0.589986, Average Loss  0.601967, Time  0.232254
2021-09-15 06:22:25.166378 : Epoch 10, Batch     62, Loss  0.604171, Average Loss  0.601928, Time  0.231548
2021-09-15 06:22:26.721157 : Epoch 10, Batch     63, Loss  0.599090, Average Loss  0.601930, Time  0.231313
2021-09-15 06:22:28.273528 : Epoch 10, Batch     64, Loss  0.599811, Average Loss  0.601987, Time  0.231581
2021-09-15 06:22:29.825380 : Epoch 10, Batch     65, Loss  0.597632, Average Loss  0.601926, Time  0.232012
2021-09-15 06:22:31.395410 : Epoch 10, Batch     66, Loss  0.603873, Average Loss  0.601948, Time  0.231221
2021-09-15 06:22:32.375178 : CheckPoint: Validation Loss  0.00025471, Best Loss  0.00024341
2021-09-15 06:22:32.952173 : Epoch 10, Batch     67, Loss  0.615479, Average Loss  0.602016, Time  0.231665
2021-09-15 06:22:33.900352 : Epoch  8, Batch    692, Loss  0.595905, Average Loss  0.602078, Time  0.239640
2021-09-15 06:22:34.513684 : Epoch 10, Batch     68, Loss  0.594301, Average Loss  0.601982, Time  0.231379
2021-09-15 06:22:35.419763 : Epoch  8, Batch    693, Loss  0.600215, Average Loss  0.602030, Time  0.238000
2021-09-15 06:22:36.061055 : Epoch 10, Batch     69, Loss  0.602856, Average Loss  0.601982, Time  0.232452
2021-09-15 06:22:36.941987 : Epoch  8, Batch    694, Loss  0.596225, Average Loss  0.602066, Time  0.240422
2021-09-15 06:22:37.608464 : Epoch 10, Batch     70, Loss  0.607064, Average Loss  0.602030, Time  0.231274
2021-09-15 06:22:38.474252 : Epoch  8, Batch    695, Loss  0.605030, Average Loss  0.602022, Time  0.241690
2021-09-15 06:22:39.152996 : Epoch 10, Batch     71, Loss  0.593023, Average Loss  0.601947, Time  0.231344
2021-09-15 06:22:40.016397 : Epoch  8, Batch    696, Loss  0.611615, Average Loss  0.602077, Time  0.241677
2021-09-15 06:22:40.718629 : Epoch 10, Batch     72, Loss  0.603546, Average Loss  0.602008, Time  0.231803
2021-09-15 06:22:41.547815 : Epoch  8, Batch    697, Loss  0.602832, Average Loss  0.602057, Time  0.241742
2021-09-15 06:22:42.273405 : Epoch 10, Batch     73, Loss  0.606185, Average Loss  0.602051, Time  0.231285
2021-09-15 06:22:43.065725 : Epoch  8, Batch    698, Loss  0.602448, Average Loss  0.602046, Time  0.238624
2021-09-15 06:22:43.835860 : Epoch 10, Batch     74, Loss  0.597752, Average Loss  0.602007, Time  0.231450
2021-09-15 06:22:44.598072 : Epoch  8, Batch    699, Loss  0.602970, Average Loss  0.602008, Time  0.242004
2021-09-15 06:22:45.396613 : Epoch 10, Batch     75, Loss  0.607342, Average Loss  0.602033, Time  0.231551
2021-09-15 06:22:46.139590 : Epoch  8, Batch    700, Loss  0.607751, Average Loss  0.602011, Time  0.239980
2021-09-15 06:22:46.947828 : Epoch 10, Batch     76, Loss  0.601297, Average Loss  0.602007, Time  0.231587
2021-09-15 06:22:47.657838 : Epoch  8, Batch    701, Loss  0.604260, Average Loss  0.602039, Time  0.240123
2021-09-15 06:22:48.504481 : Epoch 10, Batch     77, Loss  0.620271, Average Loss  0.602064, Time  0.231665
2021-09-15 06:22:49.182809 : Epoch  8, Batch    702, Loss  0.584494, Average Loss  0.601975, Time  0.240964
2021-09-15 06:22:50.055073 : Epoch 10, Batch     78, Loss  0.601120, Average Loss  0.602058, Time  0.230828
2021-09-15 06:22:50.720941 : Epoch  8, Batch    703, Loss  0.603800, Average Loss  0.602015, Time  0.241024
2021-09-15 06:22:51.604986 : Epoch 10, Batch     79, Loss  0.597189, Average Loss  0.602049, Time  0.231414
2021-09-15 06:22:52.264082 : Epoch  8, Batch    704, Loss  0.580445, Average Loss  0.601990, Time  0.240410
2021-09-15 06:22:53.159158 : Epoch 10, Batch     80, Loss  0.587600, Average Loss  0.602017, Time  0.231265
2021-09-15 06:22:53.805887 : Epoch  8, Batch    705, Loss  0.616054, Average Loss  0.602083, Time  0.238555
2021-09-15 06:22:54.717382 : Epoch 10, Batch     81, Loss  0.597722, Average Loss  0.602044, Time  0.231480
2021-09-15 06:22:55.336032 : Epoch  8, Batch    706, Loss  0.609800, Average Loss  0.602178, Time  0.238350
2021-09-15 06:22:56.272673 : Epoch 10, Batch     82, Loss  0.591000, Average Loss  0.602018, Time  0.231254
2021-09-15 06:22:56.867395 : Epoch  8, Batch    707, Loss  0.595338, Average Loss  0.602105, Time  0.239006
2021-09-15 06:22:57.824474 : Epoch 10, Batch     83, Loss  0.598972, Average Loss  0.602008, Time  0.232071
2021-09-15 06:22:58.402411 : Epoch  8, Batch    708, Loss  0.605288, Average Loss  0.602072, Time  0.239937
2021-09-15 06:22:59.380836 : Epoch 10, Batch     84, Loss  0.595575, Average Loss  0.602034, Time  0.231760
2021-09-15 06:22:59.923357 : Epoch  8, Batch    709, Loss  0.594144, Average Loss  0.602014, Time  0.237898
2021-09-15 06:23:00.935611 : Epoch 10, Batch     85, Loss  0.604374, Average Loss  0.601988, Time  0.231216
2021-09-15 06:23:01.455782 : Epoch  8, Batch    710, Loss  0.596995, Average Loss  0.601968, Time  0.238147
2021-09-15 06:23:02.491816 : Epoch 10, Batch     86, Loss  0.597962, Average Loss  0.601988, Time  0.232485
2021-09-15 06:23:02.995398 : Epoch  8, Batch    711, Loss  0.614821, Average Loss  0.602010, Time  0.238786
2021-09-15 06:23:04.042412 : Epoch 10, Batch     87, Loss  0.601052, Average Loss  0.602015, Time  0.231415
2021-09-15 06:23:04.529082 : Epoch  8, Batch    712, Loss  0.602533, Average Loss  0.602016, Time  0.242239
2021-09-15 06:23:06.047048 : Epoch  8, Batch    713, Loss  0.590833, Average Loss  0.601961, Time  0.239571
2021-09-15 06:23:07.565037 : Epoch  8, Batch    714, Loss  0.604761, Average Loss  0.601982, Time  0.239573
2021-09-15 06:23:08.044151 : Epoch 10, Batch     88, Loss  0.604213, Average Loss  0.601969, Time  0.264618
2021-09-15 06:23:09.096398 : Epoch  8, Batch    715, Loss  0.606629, Average Loss  0.602051, Time  0.239519
2021-09-15 06:23:09.589667 : Epoch 10, Batch     89, Loss  0.602258, Average Loss  0.601971, Time  0.239739
2021-09-15 06:23:10.639216 : Epoch  8, Batch    716, Loss  0.604118, Average Loss  0.601952, Time  0.241094
2021-09-15 06:23:11.129431 : Epoch 10, Batch     90, Loss  0.588367, Average Loss  0.601986, Time  0.233263
2021-09-15 06:23:12.158323 : Epoch  8, Batch    717, Loss  0.605632, Average Loss  0.601959, Time  0.238921
2021-09-15 06:23:12.677844 : Epoch 10, Batch     91, Loss  0.597918, Average Loss  0.601963, Time  0.232589
2021-09-15 06:23:13.687993 : Epoch  8, Batch    718, Loss  0.608973, Average Loss  0.602010, Time  0.243880
2021-09-15 06:23:14.218141 : Epoch 10, Batch     92, Loss  0.610516, Average Loss  0.601987, Time  0.231554
2021-09-15 06:23:15.221384 : Epoch  8, Batch    719, Loss  0.601736, Average Loss  0.601982, Time  0.240136
2021-09-15 06:23:15.771701 : Epoch 10, Batch     93, Loss  0.593967, Average Loss  0.601951, Time  0.231185
2021-09-15 06:23:16.763049 : Epoch  8, Batch    720, Loss  0.598234, Average Loss  0.601986, Time  0.241060
2021-09-15 06:23:17.324348 : Epoch 10, Batch     94, Loss  0.611984, Average Loss  0.602024, Time  0.231355
2021-09-15 06:23:18.286796 : Epoch  8, Batch    721, Loss  0.597611, Average Loss  0.601990, Time  0.240680
2021-09-15 06:23:18.874536 : Epoch 10, Batch     95, Loss  0.585977, Average Loss  0.601966, Time  0.231478
2021-09-15 06:23:19.805977 : Epoch  8, Batch    722, Loss  0.598674, Average Loss  0.601969, Time  0.240208
2021-09-15 06:23:20.421099 : Epoch 10, Batch     96, Loss  0.598384, Average Loss  0.601940, Time  0.231343
2021-09-15 06:23:21.336078 : Epoch  8, Batch    723, Loss  0.602535, Average Loss  0.601947, Time  0.241255
2021-09-15 06:23:21.963360 : Epoch 10, Batch     97, Loss  0.609609, Average Loss  0.601986, Time  0.231225
2021-09-15 06:23:22.874040 : Epoch  8, Batch    724, Loss  0.600019, Average Loss  0.601978, Time  0.240241
2021-09-15 06:23:23.538631 : Epoch 10, Batch     98, Loss  0.588614, Average Loss  0.601947, Time  0.231714
2021-09-15 06:23:24.400932 : Epoch  8, Batch    725, Loss  0.605708, Average Loss  0.601990, Time  0.240333
2021-09-15 06:23:25.086633 : Epoch 10, Batch     99, Loss  0.613360, Average Loss  0.601954, Time  0.231415
2021-09-15 06:23:25.922976 : Epoch  8, Batch    726, Loss  0.614005, Average Loss  0.602042, Time  0.240240
2021-09-15 06:23:26.635651 : Epoch 10, Batch    100, Loss  0.594828, Average Loss  0.601927, Time  0.231594
2021-09-15 06:23:27.456130 : Epoch  8, Batch    727, Loss  0.602064, Average Loss  0.601995, Time  0.239717
2021-09-15 06:23:28.179432 : Epoch 10, Batch    101, Loss  0.605443, Average Loss  0.601997, Time  0.231754
2021-09-15 06:23:28.992957 : Epoch  8, Batch    728, Loss  0.593126, Average Loss  0.602013, Time  0.240573
2021-09-15 06:23:29.716014 : Epoch 10, Batch    102, Loss  0.606157, Average Loss  0.602021, Time  0.231443
2021-09-15 06:23:30.518818 : Epoch  8, Batch    729, Loss  0.603599, Average Loss  0.602066, Time  0.240699
2021-09-15 06:23:31.265324 : Epoch 10, Batch    103, Loss  0.606525, Average Loss  0.602025, Time  0.231035
2021-09-15 06:23:32.047767 : Epoch  8, Batch    730, Loss  0.598436, Average Loss  0.602122, Time  0.241220
2021-09-15 06:23:32.812170 : Epoch 10, Batch    104, Loss  0.594810, Average Loss  0.601956, Time  0.231416
2021-09-15 06:23:33.585089 : Epoch  8, Batch    731, Loss  0.608667, Average Loss  0.602152, Time  0.240438
2021-09-15 06:23:34.352680 : Epoch 10, Batch    105, Loss  0.601493, Average Loss  0.601954, Time  0.232360
2021-09-15 06:23:35.126460 : Epoch  8, Batch    732, Loss  0.602916, Average Loss  0.602121, Time  0.242322
2021-09-15 06:23:35.895788 : Epoch 10, Batch    106, Loss  0.595369, Average Loss  0.601976, Time  0.231423
2021-09-15 06:23:36.657961 : Epoch  8, Batch    733, Loss  0.599464, Average Loss  0.602099, Time  0.242021
2021-09-15 06:23:37.443608 : Epoch 10, Batch    107, Loss  0.606818, Average Loss  0.601950, Time  0.230803
2021-09-15 06:23:38.185985 : Epoch  8, Batch    734, Loss  0.595157, Average Loss  0.601993, Time  0.238641
2021-09-15 06:23:38.995341 : Epoch 10, Batch    108, Loss  0.615045, Average Loss  0.602039, Time  0.231425
2021-09-15 06:23:39.724423 : Epoch  8, Batch    735, Loss  0.600606, Average Loss  0.602002, Time  0.239845
2021-09-15 06:23:40.542166 : Epoch 10, Batch    109, Loss  0.611662, Average Loss  0.602123, Time  0.231832
2021-09-15 06:23:41.426462 : Epoch  8, Batch    736, Loss  0.609724, Average Loss  0.602054, Time  0.260680
2021-09-15 06:23:42.102710 : Epoch 10, Batch    110, Loss  0.602735, Average Loss  0.602135, Time  0.231062
2021-09-15 06:23:43.104416 : Epoch  8, Batch    737, Loss  0.597294, Average Loss  0.601994, Time  0.257734
2021-09-15 06:23:43.654377 : Epoch 10, Batch    111, Loss  0.609966, Average Loss  0.602215, Time  0.231287
2021-09-15 06:23:44.643807 : Epoch  8, Batch    738, Loss  0.604536, Average Loss  0.601990, Time  0.238758
2021-09-15 06:23:45.214440 : Epoch 10, Batch    112, Loss  0.588862, Average Loss  0.602185, Time  0.231166
2021-09-15 06:23:46.181427 : Epoch  8, Batch    739, Loss  0.603150, Average Loss  0.602013, Time  0.239542
2021-09-15 06:23:46.485281 : CheckPoint: Validation Loss  0.00030062, Best Loss  0.00029571
2021-09-15 06:23:46.774086 : Epoch 10, Batch    113, Loss  0.593875, Average Loss  0.602158, Time  0.231661
2021-09-15 06:23:47.711314 : Epoch  8, Batch    740, Loss  0.597898, Average Loss  0.601921, Time  0.239643
2021-09-15 06:23:48.323500 : Epoch 10, Batch    114, Loss  0.607765, Average Loss  0.602229, Time  0.231189
2021-09-15 06:23:49.248346 : Epoch  8, Batch    741, Loss  0.607834, Average Loss  0.601939, Time  0.240339
2021-09-15 06:23:49.514824 : Epoch  2, Batch    745, Loss  0.855485, Average Loss  0.872436, Time  0.267838
2021-09-15 06:23:49.873015 : Epoch 10, Batch    115, Loss  0.610784, Average Loss  0.602251, Time  0.231138
2021-09-15 06:23:50.772904 : Epoch  8, Batch    742, Loss  0.609335, Average Loss  0.601962, Time  0.239072
2021-09-15 06:23:51.410911 : Epoch 10, Batch    116, Loss  0.586331, Average Loss  0.602205, Time  0.232055
2021-09-15 06:23:52.302350 : Epoch  8, Batch    743, Loss  0.613706, Average Loss  0.602024, Time  0.238499
2021-09-15 06:23:52.574703 : Epoch  2, Batch    746, Loss  0.861979, Average Loss  0.872407, Time  0.267224
2021-09-15 06:23:52.955386 : Epoch 10, Batch    117, Loss  0.601069, Average Loss  0.602193, Time  0.231751
2021-09-15 06:23:53.835984 : Epoch  8, Batch    744, Loss  0.601724, Average Loss  0.601982, Time  0.239993
2021-09-15 06:23:55.355794 : Epoch  8, Batch    745, Loss  0.598532, Average Loss  0.601933, Time  0.238203
2021-09-15 06:23:55.609123 : Epoch  2, Batch    747, Loss  0.876716, Average Loss  0.872490, Time  0.264253
2021-09-15 06:23:56.871311 : Epoch  8, Batch    746, Loss  0.602098, Average Loss  0.601930, Time  0.240090
2021-09-15 06:23:58.393819 : Epoch  8, Batch    747, Loss  0.597180, Average Loss  0.601897, Time  0.239952
2021-09-15 06:23:58.642243 : Epoch  2, Batch    748, Loss  0.870384, Average Loss  0.872314, Time  0.265663
2021-09-15 06:23:59.927350 : Epoch  8, Batch    748, Loss  0.597515, Average Loss  0.601857, Time  0.239670
2021-09-15 06:24:01.447831 : Epoch  8, Batch    749, Loss  0.614238, Average Loss  0.601933, Time  0.241041
2021-09-15 06:24:01.668988 : Epoch  2, Batch    749, Loss  0.888495, Average Loss  0.872404, Time  0.264769
2021-09-15 06:24:02.965040 : Epoch  8, Batch    750, Loss  0.604756, Average Loss  0.601916, Time  0.236621
2021-09-15 06:24:04.494075 : Epoch  8, Batch    751, Loss  0.609014, Average Loss  0.601950, Time  0.237246
2021-09-15 06:24:04.721164 : Epoch  2, Batch    750, Loss  0.867820, Average Loss  0.872210, Time  0.273960
2021-09-15 06:24:06.059059 : Epoch  8, Batch    752, Loss  0.613646, Average Loss  0.602005, Time  0.240825
2021-09-15 06:24:07.591427 : Epoch  8, Batch    753, Loss  0.602730, Average Loss  0.602007, Time  0.239301
2021-09-15 06:24:07.752236 : Epoch  2, Batch    751, Loss  0.860676, Average Loss  0.872200, Time  0.265846
2021-09-15 06:24:09.232056 : Epoch  8, Batch    754, Loss  0.605713, Average Loss  0.602036, Time  0.258715
2021-09-15 06:24:10.797720 : Epoch  2, Batch    752, Loss  0.889668, Average Loss  0.872195, Time  0.265743
2021-09-15 06:24:10.916577 : Epoch  8, Batch    755, Loss  0.605361, Average Loss  0.602025, Time  0.260151
2021-09-15 06:24:12.424402 : Epoch  8, Batch    756, Loss  0.597230, Average Loss  0.602045, Time  0.239355
2021-09-15 06:24:13.845047 : Epoch  2, Batch    753, Loss  0.858382, Average Loss  0.872048, Time  0.265357
2021-09-15 06:24:13.957378 : Epoch  8, Batch    757, Loss  0.595799, Average Loss  0.602066, Time  0.241347
2021-09-15 06:24:15.483047 : Epoch  8, Batch    758, Loss  0.595222, Average Loss  0.602030, Time  0.241277
2021-09-15 06:24:16.863909 : Epoch  2, Batch    754, Loss  0.877454, Average Loss  0.872113, Time  0.264714
2021-09-15 06:24:17.023010 : Epoch  8, Batch    759, Loss  0.594474, Average Loss  0.602002, Time  0.240334
2021-09-15 06:24:18.545231 : Epoch  8, Batch    760, Loss  0.605306, Average Loss  0.601978, Time  0.241797
2021-09-15 06:24:19.895162 : Epoch  2, Batch    755, Loss  0.885267, Average Loss  0.872194, Time  0.265364
2021-09-15 06:24:20.062477 : Epoch  8, Batch    761, Loss  0.606981, Average Loss  0.601948, Time  0.236766
2021-09-15 06:24:22.922518 : Epoch  2, Batch    756, Loss  0.866293, Average Loss  0.872216, Time  0.265880
2021-09-15 06:24:24.192892 : Epoch  8, Batch    762, Loss  0.613414, Average Loss  0.601966, Time  0.271240
2021-09-15 06:24:25.725371 : Epoch  8, Batch    763, Loss  0.599789, Average Loss  0.601914, Time  0.245211
2021-09-15 06:24:26.023823 : Epoch  2, Batch    757, Loss  0.859413, Average Loss  0.872223, Time  0.265204
2021-09-15 06:24:27.262153 : Epoch  8, Batch    764, Loss  0.605561, Average Loss  0.601998, Time  0.238988
2021-09-15 06:24:28.788920 : Epoch  8, Batch    765, Loss  0.589621, Average Loss  0.601946, Time  0.241993
2021-09-15 06:24:29.048021 : Epoch  2, Batch    758, Loss  0.879353, Average Loss  0.872255, Time  0.265252
2021-09-15 06:24:30.309820 : Epoch  8, Batch    766, Loss  0.597195, Average Loss  0.601967, Time  0.241119
2021-09-15 06:24:31.829383 : Epoch  8, Batch    767, Loss  0.603441, Average Loss  0.601969, Time  0.242017
2021-09-15 06:24:32.061065 : Epoch  2, Batch    759, Loss  0.885875, Average Loss  0.872365, Time  0.265270
2021-09-15 06:24:33.372025 : Epoch  8, Batch    768, Loss  0.608878, Average Loss  0.602078, Time  0.240065
2021-09-15 06:24:34.902445 : Epoch  8, Batch    769, Loss  0.603639, Average Loss  0.602079, Time  0.239079
2021-09-15 06:24:35.072548 : Epoch  2, Batch    760, Loss  0.896792, Average Loss  0.872477, Time  0.264527
2021-09-15 06:24:36.428402 : Epoch  8, Batch    770, Loss  0.598967, Average Loss  0.602061, Time  0.238110
2021-09-15 06:24:38.072504 : Epoch  2, Batch    761, Loss  0.878014, Average Loss  0.872483, Time  0.264657
2021-09-15 06:24:38.115316 : Epoch  8, Batch    771, Loss  0.602000, Average Loss  0.602028, Time  0.258340
2021-09-15 06:24:39.638107 : Epoch  8, Batch    772, Loss  0.597218, Average Loss  0.602024, Time  0.240129
2021-09-15 06:24:41.093528 : Epoch  2, Batch    762, Loss  0.871902, Average Loss  0.872519, Time  0.265230
2021-09-15 06:24:41.156325 : Epoch  8, Batch    773, Loss  0.609891, Average Loss  0.602090, Time  0.239225
2021-09-15 06:24:42.834218 : Epoch  8, Batch    774, Loss  0.602993, Average Loss  0.602121, Time  0.258113
2021-09-15 06:24:44.108495 : Epoch  2, Batch    763, Loss  0.863210, Average Loss  0.872447, Time  0.264264
2021-09-15 06:24:44.366368 : Epoch  8, Batch    775, Loss  0.596435, Average Loss  0.602102, Time  0.239189
2021-09-15 06:24:45.887805 : Epoch  8, Batch    776, Loss  0.614466, Average Loss  0.602096, Time  0.241248
2021-09-15 06:24:47.127372 : Epoch  2, Batch    764, Loss  0.864715, Average Loss  0.872328, Time  0.264843
2021-09-15 06:24:47.428501 : Epoch  8, Batch    777, Loss  0.602096, Average Loss  0.602154, Time  0.242309
2021-09-15 06:24:49.099944 : Epoch  8, Batch    778, Loss  0.601108, Average Loss  0.602044, Time  0.257959
2021-09-15 06:24:50.167812 : Epoch  2, Batch    765, Loss  0.885351, Average Loss  0.872434, Time  0.271763
2021-09-15 06:24:50.782830 : Epoch  8, Batch    779, Loss  0.604809, Average Loss  0.602014, Time  0.259801
2021-09-15 06:24:50.958709 : CheckPoint: Validation Loss  0.00024646, Best Loss  0.00024467
2021-09-15 06:24:52.321115 : Epoch  8, Batch    780, Loss  0.599526, Average Loss  0.601985, Time  0.239525
2021-09-15 06:24:52.530038 : Epoch 10, Batch    118, Loss  0.595585, Average Loss  0.602173, Time  0.257667
2021-09-15 06:24:53.198645 : Epoch  2, Batch    766, Loss  0.853814, Average Loss  0.872378, Time  0.265876
2021-09-15 06:24:53.854942 : Epoch  8, Batch    781, Loss  0.612004, Average Loss  0.602090, Time  0.240770
2021-09-15 06:24:54.095406 : Epoch 10, Batch    119, Loss  0.596421, Average Loss  0.602103, Time  0.238256
2021-09-15 06:24:55.374011 : Epoch  8, Batch    782, Loss  0.596631, Average Loss  0.602075, Time  0.237488
2021-09-15 06:24:55.642949 : Epoch 10, Batch    120, Loss  0.593567, Average Loss  0.602066, Time  0.231295
2021-09-15 06:24:56.222305 : Epoch  2, Batch    767, Loss  0.890773, Average Loss  0.872425, Time  0.264586
2021-09-15 06:24:56.897816 : Epoch  8, Batch    783, Loss  0.601635, Average Loss  0.602102, Time  0.239686
2021-09-15 06:24:57.197247 : Epoch 10, Batch    121, Loss  0.601431, Average Loss  0.602047, Time  0.231457
2021-09-15 06:24:58.441296 : Epoch  8, Batch    784, Loss  0.607439, Average Loss  0.602111, Time  0.243716
2021-09-15 06:24:58.746330 : Epoch 10, Batch    122, Loss  0.602758, Average Loss  0.602044, Time  0.231257
2021-09-15 06:24:59.266384 : Epoch  2, Batch    768, Loss  0.869035, Average Loss  0.872392, Time  0.266088
2021-09-15 06:24:59.984097 : Epoch  8, Batch    785, Loss  0.607244, Average Loss  0.602194, Time  0.239643
2021-09-15 06:25:00.293727 : Epoch 10, Batch    123, Loss  0.596080, Average Loss  0.602049, Time  0.231501
2021-09-15 06:25:01.510997 : Epoch  8, Batch    786, Loss  0.593499, Average Loss  0.602153, Time  0.238302
2021-09-15 06:25:01.844958 : Epoch 10, Batch    124, Loss  0.602838, Average Loss  0.602003, Time  0.231303
2021-09-15 06:25:02.320844 : Epoch  2, Batch    769, Loss  0.866205, Average Loss  0.872360, Time  0.265638
2021-09-15 06:25:03.034287 : Epoch  8, Batch    787, Loss  0.597980, Average Loss  0.602171, Time  0.237919
2021-09-15 06:25:03.069607 : Saving Model after 8-th Epoch.
2021-09-15 06:25:03.392362 : Epoch 10, Batch    125, Loss  0.609757, Average Loss  0.602033, Time  0.231142
2021-09-15 06:25:03.835610 : Epoch Finished.
2021-09-15 06:25:05.012184 : Epoch 10, Batch    126, Loss  0.606509, Average Loss  0.602083, Time  0.231873
2021-09-15 06:25:05.403024 : Epoch  2, Batch    770, Loss  0.870136, Average Loss  0.872358, Time  0.265667
2021-09-15 06:25:06.504902 : Batch Shuffled
2021-09-15 06:25:06.561545 : Epoch 10, Batch    127, Loss  0.606528, Average Loss  0.602129, Time  0.230942
2021-09-15 06:25:08.020605 : Epoch  9, Batch      1, Loss  0.609252, Average Loss  0.602256, Time  0.239164
2021-09-15 06:25:08.113194 : Epoch 10, Batch    128, Loss  0.598566, Average Loss  0.602112, Time  0.230700
2021-09-15 06:25:08.400020 : Epoch  2, Batch    771, Loss  0.872985, Average Loss  0.872431, Time  0.264405
2021-09-15 06:25:09.678666 : Epoch 10, Batch    129, Loss  0.591491, Average Loss  0.602055, Time  0.232178
2021-09-15 06:25:09.710468 : Epoch  9, Batch      2, Loss  0.592813, Average Loss  0.602189, Time  0.257673
2021-09-15 06:25:11.223991 : Epoch 10, Batch    130, Loss  0.600429, Average Loss  0.602045, Time  0.234659
2021-09-15 06:25:11.384128 : Epoch  9, Batch      3, Loss  0.607703, Average Loss  0.602227, Time  0.259062
2021-09-15 06:25:11.434338 : Epoch  2, Batch    772, Loss  0.889329, Average Loss  0.872465, Time  0.266125
2021-09-15 06:25:12.771259 : Epoch 10, Batch    131, Loss  0.601786, Average Loss  0.601992, Time  0.231213
2021-09-15 06:25:13.086091 : Epoch  9, Batch      4, Loss  0.598795, Average Loss  0.602205, Time  0.264314
2021-09-15 06:25:14.330942 : Epoch 10, Batch    132, Loss  0.601774, Average Loss  0.601986, Time  0.234089
2021-09-15 06:25:14.467363 : Epoch  2, Batch    773, Loss  0.899564, Average Loss  0.872660, Time  0.265656
2021-09-15 06:25:15.891231 : Epoch 10, Batch    133, Loss  0.595818, Average Loss  0.601975, Time  0.231359
2021-09-15 06:25:17.439277 : Epoch 10, Batch    134, Loss  0.610379, Average Loss  0.601964, Time  0.231196
2021-09-15 06:25:17.498864 : Epoch  2, Batch    774, Loss  0.889939, Average Loss  0.872871, Time  0.265099
2021-09-15 06:25:18.993104 : Epoch 10, Batch    135, Loss  0.605930, Average Loss  0.602011, Time  0.231553
2021-09-15 06:25:20.521352 : Epoch  2, Batch    775, Loss  0.864966, Average Loss  0.872742, Time  0.264224
2021-09-15 06:25:20.549118 : Epoch 10, Batch    136, Loss  0.609609, Average Loss  0.602057, Time  0.232439
2021-09-15 06:25:22.102993 : Epoch 10, Batch    137, Loss  0.604959, Average Loss  0.602069, Time  0.231621
2021-09-15 06:25:23.554224 : Epoch  2, Batch    776, Loss  0.879195, Average Loss  0.872816, Time  0.264776
2021-09-15 06:25:23.662673 : Epoch 10, Batch    138, Loss  0.593164, Average Loss  0.602054, Time  0.232178
2021-09-15 06:25:25.209031 : Epoch 10, Batch    139, Loss  0.605444, Average Loss  0.602050, Time  0.231236
2021-09-15 06:25:26.589709 : Epoch  2, Batch    777, Loss  0.871199, Average Loss  0.872866, Time  0.265689
2021-09-15 06:25:26.771315 : Epoch 10, Batch    140, Loss  0.604354, Average Loss  0.602054, Time  0.231417
2021-09-15 06:25:28.321410 : Epoch 10, Batch    141, Loss  0.617096, Average Loss  0.602138, Time  0.231326
2021-09-15 06:25:29.637376 : Epoch  2, Batch    778, Loss  0.874433, Average Loss  0.872941, Time  0.264589
2021-09-15 06:25:29.878022 : Epoch 10, Batch    142, Loss  0.602060, Average Loss  0.602107, Time  0.231380
2021-09-15 06:25:31.423999 : Epoch 10, Batch    143, Loss  0.590095, Average Loss  0.602037, Time  0.231637
2021-09-15 06:25:32.668612 : Epoch  2, Batch    779, Loss  0.879079, Average Loss  0.872974, Time  0.264761
2021-09-15 06:25:32.975906 : Epoch 10, Batch    144, Loss  0.608901, Average Loss  0.602018, Time  0.231336
2021-09-15 06:25:34.533209 : Epoch 10, Batch    145, Loss  0.592959, Average Loss  0.602019, Time  0.231515
2021-09-15 06:25:35.704921 : Epoch  2, Batch    780, Loss  0.868893, Average Loss  0.873132, Time  0.276924
2021-09-15 06:25:36.092169 : Epoch 10, Batch    146, Loss  0.615788, Average Loss  0.602135, Time  0.234965
2021-09-15 06:25:37.636915 : Epoch 10, Batch    147, Loss  0.598750, Average Loss  0.602137, Time  0.231687
2021-09-15 06:25:38.729360 : Epoch  2, Batch    781, Loss  0.861991, Average Loss  0.873011, Time  0.266031
2021-09-15 06:25:39.192649 : Epoch 10, Batch    148, Loss  0.593112, Average Loss  0.602082, Time  0.234087
2021-09-15 06:25:40.734639 : Epoch 10, Batch    149, Loss  0.609298, Average Loss  0.602100, Time  0.231370
2021-09-15 06:25:41.791773 : Epoch  2, Batch    782, Loss  0.887088, Average Loss  0.873040, Time  0.265650
2021-09-15 06:25:42.285933 : Epoch 10, Batch    150, Loss  0.605193, Average Loss  0.602025, Time  0.231399
2021-09-15 06:25:43.849282 : Epoch 10, Batch    151, Loss  0.595529, Average Loss  0.601967, Time  0.233752
2021-09-15 06:25:44.836407 : Epoch  2, Batch    783, Loss  0.875647, Average Loss  0.873112, Time  0.265079
2021-09-15 06:25:45.405205 : Epoch 10, Batch    152, Loss  0.596630, Average Loss  0.601967, Time  0.231804
2021-09-15 06:25:46.960653 : Epoch 10, Batch    153, Loss  0.610419, Average Loss  0.601956, Time  0.231735
2021-09-15 06:25:47.903968 : Epoch  2, Batch    784, Loss  0.863211, Average Loss  0.873129, Time  0.264717
2021-09-15 06:25:48.518662 : Epoch 10, Batch    154, Loss  0.601683, Average Loss  0.601970, Time  0.231732
2021-09-15 06:25:50.071355 : Epoch 10, Batch    155, Loss  0.610695, Average Loss  0.602040, Time  0.230979
2021-09-15 06:25:50.973931 : Epoch  2, Batch    785, Loss  0.862112, Average Loss  0.872947, Time  0.265609
2021-09-15 06:25:51.639141 : Epoch 10, Batch    156, Loss  0.592593, Average Loss  0.601944, Time  0.231265
2021-09-15 06:25:53.190074 : Epoch 10, Batch    157, Loss  0.600260, Average Loss  0.601945, Time  0.232203
2021-09-15 06:25:54.033199 : Epoch  2, Batch    786, Loss  0.901000, Average Loss  0.873064, Time  0.267166
2021-09-15 06:25:54.747549 : Epoch 10, Batch    158, Loss  0.601337, Average Loss  0.601937, Time  0.231220
2021-09-15 06:25:56.300634 : Epoch 10, Batch    159, Loss  0.603594, Average Loss  0.601892, Time  0.232970
2021-09-15 06:25:57.102227 : Epoch  2, Batch    787, Loss  0.882235, Average Loss  0.873188, Time  0.265724
2021-09-15 06:25:57.852626 : Epoch 10, Batch    160, Loss  0.605153, Average Loss  0.601879, Time  0.231522
2021-09-15 06:25:59.400378 : Epoch 10, Batch    161, Loss  0.592956, Average Loss  0.601851, Time  0.231086
2021-09-15 06:26:00.140510 : Epoch  2, Batch    788, Loss  0.864073, Average Loss  0.873117, Time  0.265345
2021-09-15 06:26:00.949662 : Epoch 10, Batch    162, Loss  0.591213, Average Loss  0.601799, Time  0.231233
2021-09-15 06:26:02.504463 : Epoch 10, Batch    163, Loss  0.608162, Average Loss  0.601847, Time  0.231712
2021-09-15 06:26:03.258658 : Epoch  2, Batch    789, Loss  0.863461, Average Loss  0.873026, Time  0.265212
2021-09-15 06:26:04.061636 : Epoch 10, Batch    164, Loss  0.594900, Average Loss  0.601822, Time  0.231287
2021-09-15 06:26:05.609110 : Epoch 10, Batch    165, Loss  0.603307, Average Loss  0.601806, Time  0.231322
2021-09-15 06:26:06.323794 : Epoch  2, Batch    790, Loss  0.870826, Average Loss  0.872975, Time  0.265026
2021-09-15 06:26:07.162112 : Epoch 10, Batch    166, Loss  0.605021, Average Loss  0.601793, Time  0.231100
2021-09-15 06:26:08.708290 : Epoch 10, Batch    167, Loss  0.600462, Average Loss  0.601806, Time  0.231603
2021-09-15 06:26:09.356054 : Epoch  2, Batch    791, Loss  0.868381, Average Loss  0.872923, Time  0.264936
2021-09-15 06:26:10.265395 : Epoch 10, Batch    168, Loss  0.599448, Average Loss  0.601805, Time  0.231165
2021-09-15 06:26:11.826405 : Epoch 10, Batch    169, Loss  0.598146, Average Loss  0.601794, Time  0.231456
2021-09-15 06:26:12.378087 : Epoch  2, Batch    792, Loss  0.867776, Average Loss  0.872866, Time  0.264516
2021-09-15 06:26:13.380606 : Epoch 10, Batch    170, Loss  0.614670, Average Loss  0.601843, Time  0.231597
2021-09-15 06:26:14.981397 : Epoch 10, Batch    171, Loss  0.594032, Average Loss  0.601807, Time  0.231043
2021-09-15 06:26:15.359702 : CheckPoint: Validation Loss  0.00025466, Best Loss  0.00024341
2021-09-15 06:26:15.436970 : Epoch  2, Batch    793, Loss  0.893590, Average Loss  0.872987, Time  0.265232
2021-09-15 06:26:16.539053 : Epoch 10, Batch    172, Loss  0.604695, Average Loss  0.601753, Time  0.231462
2021-09-15 06:26:17.028902 : Epoch  9, Batch      5, Loss  0.597153, Average Loss  0.602222, Time  0.262666
2021-09-15 06:26:18.113172 : Epoch 10, Batch    173, Loss  0.587124, Average Loss  0.601710, Time  0.231242
2021-09-15 06:26:18.487131 : Epoch  2, Batch    794, Loss  0.861945, Average Loss  0.872924, Time  0.265671
2021-09-15 06:26:18.700312 : Epoch  9, Batch      6, Loss  0.593860, Average Loss  0.602179, Time  0.259342
2021-09-15 06:26:19.674100 : Epoch 10, Batch    174, Loss  0.610683, Average Loss  0.601744, Time  0.231410
2021-09-15 06:26:20.375769 : Epoch  9, Batch      7, Loss  0.607530, Average Loss  0.602211, Time  0.259622
2021-09-15 06:26:21.226324 : Epoch 10, Batch    175, Loss  0.600888, Average Loss  0.601790, Time  0.230953
2021-09-15 06:26:21.551160 : Epoch  2, Batch    795, Loss  0.859995, Average Loss  0.872897, Time  0.274914
2021-09-15 06:26:21.910203 : Epoch  9, Batch      8, Loss  0.605857, Average Loss  0.602256, Time  0.240429
2021-09-15 06:26:22.789987 : Epoch 10, Batch    176, Loss  0.601050, Average Loss  0.601804, Time  0.232953
2021-09-15 06:26:23.584787 : Epoch  9, Batch      9, Loss  0.602572, Average Loss  0.602233, Time  0.257986
2021-09-15 06:26:24.341978 : Epoch 10, Batch    177, Loss  0.592247, Average Loss  0.601725, Time  0.231476
2021-09-15 06:26:24.610232 : Epoch  2, Batch    796, Loss  0.880967, Average Loss  0.872865, Time  0.265755
2021-09-15 06:26:25.253941 : Epoch  9, Batch     10, Loss  0.595578, Average Loss  0.602284, Time  0.238966
2021-09-15 06:26:25.907502 : Epoch 10, Batch    178, Loss  0.600897, Average Loss  0.601725, Time  0.231798
2021-09-15 06:26:26.919876 : Epoch  9, Batch     11, Loss  0.590630, Average Loss  0.602237, Time  0.239285
2021-09-15 06:26:27.459824 : Epoch 10, Batch    179, Loss  0.607363, Average Loss  0.601853, Time  0.230828
2021-09-15 06:26:27.654977 : Epoch  2, Batch    797, Loss  0.886040, Average Loss  0.872956, Time  0.264377
2021-09-15 06:26:28.590216 : Epoch  9, Batch     12, Loss  0.602529, Average Loss  0.602291, Time  0.240276
2021-09-15 06:26:29.018169 : Epoch 10, Batch    180, Loss  0.597382, Average Loss  0.602038, Time  0.231303
2021-09-15 06:26:30.293149 : Epoch  9, Batch     13, Loss  0.604936, Average Loss  0.602324, Time  0.259181
2021-09-15 06:26:30.575399 : Epoch 10, Batch    181, Loss  0.592401, Average Loss  0.601974, Time  0.231286
2021-09-15 06:26:30.667899 : Epoch  2, Batch    798, Loss  0.872983, Average Loss  0.872910, Time  0.265725
2021-09-15 06:26:31.981153 : Epoch  9, Batch     14, Loss  0.594433, Average Loss  0.602270, Time  0.258548
2021-09-15 06:26:32.128817 : Epoch 10, Batch    182, Loss  0.602959, Average Loss  0.602006, Time  0.231749
2021-09-15 06:26:33.662836 : Epoch  9, Batch     15, Loss  0.600822, Average Loss  0.602334, Time  0.258043
2021-09-15 06:26:33.697534 : Epoch  2, Batch    799, Loss  0.880638, Average Loss  0.872980, Time  0.265052
2021-09-15 06:26:33.699403 : Epoch 10, Batch    183, Loss  0.596885, Average Loss  0.601959, Time  0.231153
2021-09-15 06:26:35.290405 : Epoch 10, Batch    184, Loss  0.598397, Average Loss  0.602020, Time  0.231421
2021-09-15 06:26:35.347995 : Epoch  9, Batch     16, Loss  0.607909, Average Loss  0.602412, Time  0.260639
2021-09-15 06:26:36.720721 : Epoch  2, Batch    800, Loss  0.890102, Average Loss  0.873106, Time  0.264941
2021-09-15 06:26:36.836824 : Epoch 10, Batch    185, Loss  0.609703, Average Loss  0.602032, Time  0.232654
2021-09-15 06:26:37.064439 : Epoch  9, Batch     17, Loss  0.603311, Average Loss  0.602426, Time  0.259063
2021-09-15 06:26:38.386773 : Epoch 10, Batch    186, Loss  0.601106, Average Loss  0.602006, Time  0.232798
2021-09-15 06:26:38.736855 : Epoch  9, Batch     18, Loss  0.603751, Average Loss  0.602390, Time  0.259721
2021-09-15 06:26:39.765757 : Epoch  2, Batch    801, Loss  0.876869, Average Loss  0.873186, Time  0.265715
2021-09-15 06:26:39.939907 : Epoch 10, Batch    187, Loss  0.590209, Average Loss  0.601901, Time  0.231713
2021-09-15 06:26:40.432881 : Epoch  9, Batch     19, Loss  0.607048, Average Loss  0.602374, Time  0.258289
2021-09-15 06:26:42.118379 : Epoch  9, Batch     20, Loss  0.603983, Average Loss  0.602397, Time  0.258919
2021-09-15 06:26:42.801792 : Epoch  2, Batch    802, Loss  0.848066, Average Loss  0.873131, Time  0.264275
2021-09-15 06:26:43.643793 : Epoch  9, Batch     21, Loss  0.601295, Average Loss  0.602374, Time  0.238830
2021-09-15 06:26:43.830465 : Epoch 10, Batch    188, Loss  0.597814, Average Loss  0.601859, Time  0.272704
2021-09-15 06:26:45.187260 : Epoch  9, Batch     22, Loss  0.609646, Average Loss  0.602375, Time  0.239178
2021-09-15 06:26:45.389994 : Epoch 10, Batch    189, Loss  0.606315, Average Loss  0.601855, Time  0.249429
2021-09-15 06:26:45.832186 : Epoch  2, Batch    803, Loss  0.875556, Average Loss  0.873173, Time  0.266576
2021-09-15 06:26:46.856856 : Epoch  9, Batch     23, Loss  0.601966, Average Loss  0.602425, Time  0.240474
2021-09-15 06:26:46.927410 : Epoch 10, Batch    190, Loss  0.601184, Average Loss  0.601899, Time  0.231336
2021-09-15 06:26:48.382379 : Epoch  9, Batch     24, Loss  0.606082, Average Loss  0.602379, Time  0.238955
2021-09-15 06:26:48.470981 : Epoch 10, Batch    191, Loss  0.598124, Average Loss  0.601876, Time  0.231422
2021-09-15 06:26:48.923401 : Epoch  2, Batch    804, Loss  0.888622, Average Loss  0.873301, Time  0.265158
2021-09-15 06:26:49.905873 : Epoch  9, Batch     25, Loss  0.609155, Average Loss  0.602426, Time  0.239313
2021-09-15 06:26:50.015724 : Epoch 10, Batch    192, Loss  0.596839, Average Loss  0.601836, Time  0.230834
2021-09-15 06:26:51.424143 : Epoch  9, Batch     26, Loss  0.622640, Average Loss  0.602525, Time  0.239341
2021-09-15 06:26:51.543248 : Epoch 10, Batch    193, Loss  0.596055, Average Loss  0.601851, Time  0.231568
2021-09-15 06:26:51.948637 : Epoch  2, Batch    805, Loss  0.847114, Average Loss  0.873154, Time  0.264302
2021-09-15 06:26:52.975999 : Epoch  9, Batch     27, Loss  0.605046, Average Loss  0.602487, Time  0.240399
2021-09-15 06:26:53.084036 : Epoch 10, Batch    194, Loss  0.601021, Average Loss  0.601829, Time  0.231425
2021-09-15 06:26:54.502840 : Epoch  9, Batch     28, Loss  0.608983, Average Loss  0.602506, Time  0.237983
2021-09-15 06:26:54.619358 : Epoch 10, Batch    195, Loss  0.600858, Average Loss  0.601794, Time  0.231380
2021-09-15 06:26:54.970647 : Epoch  2, Batch    806, Loss  0.885965, Average Loss  0.873074, Time  0.266795
2021-09-15 06:26:56.034550 : Epoch  9, Batch     29, Loss  0.591051, Average Loss  0.602447, Time  0.238921
2021-09-15 06:26:56.151987 : Epoch 10, Batch    196, Loss  0.602212, Average Loss  0.601792, Time  0.231323
2021-09-15 06:26:57.566231 : Epoch  9, Batch     30, Loss  0.591281, Average Loss  0.602424, Time  0.239672
2021-09-15 06:26:57.690070 : Epoch 10, Batch    197, Loss  0.604544, Average Loss  0.601786, Time  0.231668
2021-09-15 06:26:57.994571 : Epoch  2, Batch    807, Loss  0.868502, Average Loss  0.873103, Time  0.265426
2021-09-15 06:26:59.102214 : Epoch  9, Batch     31, Loss  0.609259, Average Loss  0.602459, Time  0.240665
2021-09-15 06:26:59.230229 : Epoch 10, Batch    198, Loss  0.604668, Average Loss  0.601774, Time  0.231155
2021-09-15 06:27:00.627275 : Epoch  9, Batch     32, Loss  0.585769, Average Loss  0.602413, Time  0.239019
2021-09-15 06:27:00.773997 : Epoch 10, Batch    199, Loss  0.610299, Average Loss  0.601836, Time  0.231288
2021-09-15 06:27:01.038881 : Epoch  2, Batch    808, Loss  0.860127, Average Loss  0.873036, Time  0.266006
2021-09-15 06:27:02.148985 : Epoch  9, Batch     33, Loss  0.606035, Average Loss  0.602441, Time  0.240976
2021-09-15 06:27:02.303133 : Epoch 10, Batch    200, Loss  0.581556, Average Loss  0.601732, Time  0.232310
2021-09-15 06:27:03.677777 : Epoch  9, Batch     34, Loss  0.594826, Average Loss  0.602413, Time  0.241060
2021-09-15 06:27:03.837705 : Epoch 10, Batch    201, Loss  0.603564, Average Loss  0.601713, Time  0.231539
2021-09-15 06:27:04.077484 : Epoch  2, Batch    809, Loss  0.876207, Average Loss  0.873058, Time  0.265975
2021-09-15 06:27:05.214431 : Epoch  9, Batch     35, Loss  0.594248, Average Loss  0.602426, Time  0.240361
2021-09-15 06:27:05.369210 : Epoch 10, Batch    202, Loss  0.611067, Average Loss  0.601725, Time  0.231049
2021-09-15 06:27:06.746331 : Epoch  9, Batch     36, Loss  0.611010, Average Loss  0.602490, Time  0.240315
2021-09-15 06:27:06.902700 : Epoch 10, Batch    203, Loss  0.616454, Average Loss  0.601807, Time  0.231723
2021-09-15 06:27:07.123073 : Epoch  2, Batch    810, Loss  0.856861, Average Loss  0.873046, Time  0.277113
2021-09-15 06:27:08.268201 : Epoch  9, Batch     37, Loss  0.603959, Average Loss  0.602510, Time  0.238482
2021-09-15 06:27:08.450832 : Epoch 10, Batch    204, Loss  0.597203, Average Loss  0.601769, Time  0.238078
2021-09-15 06:27:09.799408 : Epoch  9, Batch     38, Loss  0.598563, Average Loss  0.602383, Time  0.239395
2021-09-15 06:27:09.990860 : Epoch 10, Batch    205, Loss  0.612635, Average Loss  0.601820, Time  0.232090
2021-09-15 06:27:10.182305 : Epoch  2, Batch    811, Loss  0.908221, Average Loss  0.873257, Time  0.265885
2021-09-15 06:27:11.331790 : Epoch  9, Batch     39, Loss  0.585118, Average Loss  0.602301, Time  0.239813
2021-09-15 06:27:11.528927 : Epoch 10, Batch    206, Loss  0.603772, Average Loss  0.601794, Time  0.231230
2021-09-15 06:27:12.850291 : Epoch  9, Batch     40, Loss  0.601546, Average Loss  0.602340, Time  0.237956
2021-09-15 06:27:13.073298 : Epoch 10, Batch    207, Loss  0.603510, Average Loss  0.601761, Time  0.231546
2021-09-15 06:27:13.237429 : Epoch  2, Batch    812, Loss  0.863607, Average Loss  0.873151, Time  0.265658
2021-09-15 06:27:14.377433 : Epoch  9, Batch     41, Loss  0.603904, Average Loss  0.602354, Time  0.240192
2021-09-15 06:27:14.614046 : Epoch 10, Batch    208, Loss  0.598112, Average Loss  0.601744, Time  0.231624
2021-09-15 06:27:15.911374 : Epoch  9, Batch     42, Loss  0.595461, Average Loss  0.602291, Time  0.240331
2021-09-15 06:27:16.162893 : Epoch 10, Batch    209, Loss  0.592058, Average Loss  0.601647, Time  0.231973
2021-09-15 06:27:16.274222 : Epoch  2, Batch    813, Loss  0.859832, Average Loss  0.873140, Time  0.264662
2021-09-15 06:27:17.438176 : Epoch  9, Batch     43, Loss  0.612657, Average Loss  0.602350, Time  0.239573
2021-09-15 06:27:17.709338 : Epoch 10, Batch    210, Loss  0.577767, Average Loss  0.601547, Time  0.231088
2021-09-15 06:27:19.122453 : Epoch  9, Batch     44, Loss  0.611001, Average Loss  0.602396, Time  0.257859
2021-09-15 06:27:19.254262 : Epoch 10, Batch    211, Loss  0.600687, Average Loss  0.601531, Time  0.232605
2021-09-15 06:27:19.319575 : Epoch  2, Batch    814, Loss  0.869239, Average Loss  0.873121, Time  0.265941
2021-09-15 06:27:20.649033 : Epoch  9, Batch     45, Loss  0.607535, Average Loss  0.602396, Time  0.239243
2021-09-15 06:27:20.808076 : Epoch 10, Batch    212, Loss  0.597881, Average Loss  0.601534, Time  0.231697
2021-09-15 06:27:22.178046 : Epoch  9, Batch     46, Loss  0.595987, Average Loss  0.602309, Time  0.240313
2021-09-15 06:27:22.353228 : Epoch 10, Batch    213, Loss  0.611057, Average Loss  0.601615, Time  0.231463
2021-09-15 06:27:22.383199 : Epoch  2, Batch    815, Loss  0.884430, Average Loss  0.873106, Time  0.265466
2021-09-15 06:27:23.710914 : Epoch  9, Batch     47, Loss  0.596668, Average Loss  0.602243, Time  0.241834
2021-09-15 06:27:23.907990 : Epoch 10, Batch    214, Loss  0.601441, Average Loss  0.601617, Time  0.231178
2021-09-15 06:27:25.253796 : Epoch  9, Batch     48, Loss  0.591788, Average Loss  0.602121, Time  0.238747
2021-09-15 06:27:25.425557 : Epoch  2, Batch    816, Loss  0.866768, Average Loss  0.873132, Time  0.265185
2021-09-15 06:27:25.488155 : Epoch 10, Batch    215, Loss  0.604258, Average Loss  0.601640, Time  0.231820
2021-09-15 06:27:26.781851 : Epoch  9, Batch     49, Loss  0.610760, Average Loss  0.602209, Time  0.240200
2021-09-15 06:27:27.050192 : Epoch 10, Batch    216, Loss  0.592268, Average Loss  0.601550, Time  0.231691
2021-09-15 06:27:28.449944 : Epoch  2, Batch    817, Loss  0.879168, Average Loss  0.873072, Time  0.264788
2021-09-15 06:27:28.474373 : Epoch  9, Batch     50, Loss  0.599379, Average Loss  0.602177, Time  0.259511
2021-09-15 06:27:28.595115 : Epoch 10, Batch    217, Loss  0.590891, Average Loss  0.601525, Time  0.231465
2021-09-15 06:27:30.012012 : Epoch  9, Batch     51, Loss  0.603557, Average Loss  0.602173, Time  0.239274
2021-09-15 06:27:31.479244 : Epoch  2, Batch    818, Loss  0.882360, Average Loss  0.873118, Time  0.265002
2021-09-15 06:27:31.541332 : Epoch  9, Batch     52, Loss  0.598793, Average Loss  0.602155, Time  0.240236
2021-09-15 06:27:33.081102 : Epoch  9, Batch     53, Loss  0.603417, Average Loss  0.602123, Time  0.239430
2021-09-15 06:27:34.517093 : Epoch  2, Batch    819, Loss  0.858834, Average Loss  0.873124, Time  0.265673
2021-09-15 06:27:34.769837 : Epoch  9, Batch     54, Loss  0.599617, Average Loss  0.602123, Time  0.258817
2021-09-15 06:27:36.454178 : Epoch  9, Batch     55, Loss  0.603381, Average Loss  0.602156, Time  0.262009
2021-09-15 06:27:37.502996 : Epoch  2, Batch    820, Loss  0.877821, Average Loss  0.873170, Time  0.264137
2021-09-15 06:27:38.135784 : Epoch  9, Batch     56, Loss  0.608543, Average Loss  0.602133, Time  0.259652
2021-09-15 06:27:39.655277 : Epoch  9, Batch     57, Loss  0.598110, Average Loss  0.602136, Time  0.239702
2021-09-15 06:27:40.536630 : Epoch  2, Batch    821, Loss  0.864913, Average Loss  0.873251, Time  0.264699
2021-09-15 06:27:41.191408 : Epoch  9, Batch     58, Loss  0.601085, Average Loss  0.602100, Time  0.242490
2021-09-15 06:27:42.737721 : Epoch  9, Batch     59, Loss  0.603471, Average Loss  0.602036, Time  0.258760
2021-09-15 06:27:43.562464 : Epoch  2, Batch    822, Loss  0.865721, Average Loss  0.873299, Time  0.264993
2021-09-15 06:27:44.261765 : Epoch  9, Batch     60, Loss  0.600239, Average Loss  0.602009, Time  0.239243
2021-09-15 06:27:45.780215 : Epoch  9, Batch     61, Loss  0.603251, Average Loss  0.602018, Time  0.237818
2021-09-15 06:27:46.583068 : Epoch  2, Batch    823, Loss  0.863221, Average Loss  0.873206, Time  0.264826
2021-09-15 06:27:47.308396 : Epoch  9, Batch     62, Loss  0.603642, Average Loss  0.602055, Time  0.239295
2021-09-15 06:27:48.841027 : Epoch  9, Batch     63, Loss  0.599590, Average Loss  0.602047, Time  0.239725
2021-09-15 06:27:49.612422 : Epoch  2, Batch    824, Loss  0.869742, Average Loss  0.873180, Time  0.264885
2021-09-15 06:27:50.361210 : Epoch  9, Batch     64, Loss  0.604824, Average Loss  0.602059, Time  0.237607
2021-09-15 06:27:51.888189 : Epoch  9, Batch     65, Loss  0.599574, Average Loss  0.602111, Time  0.238649
2021-09-15 06:27:52.687792 : Epoch  2, Batch    825, Loss  0.849973, Average Loss  0.873059, Time  0.278252
2021-09-15 06:27:53.420439 : Epoch  9, Batch     66, Loss  0.614782, Average Loss  0.602204, Time  0.241593
2021-09-15 06:27:54.956222 : Epoch  9, Batch     67, Loss  0.619282, Average Loss  0.602327, Time  0.240586
2021-09-15 06:27:55.757794 : Epoch  2, Batch    826, Loss  0.871778, Average Loss  0.872900, Time  0.267634
2021-09-15 06:27:56.477758 : Epoch  9, Batch     68, Loss  0.589112, Average Loss  0.602292, Time  0.238111
2021-09-15 06:27:57.995873 : Epoch  9, Batch     69, Loss  0.613712, Average Loss  0.602345, Time  0.239338
2021-09-15 06:27:58.809357 : Epoch  2, Batch    827, Loss  0.852648, Average Loss  0.872742, Time  0.264918
2021-09-15 06:27:59.523871 : Epoch  9, Batch     70, Loss  0.599539, Average Loss  0.602313, Time  0.238218
2021-09-15 06:28:01.052962 : Epoch  9, Batch     71, Loss  0.601705, Average Loss  0.602341, Time  0.239105
2021-09-15 06:28:01.840749 : Epoch  2, Batch    828, Loss  0.891081, Average Loss  0.872871, Time  0.265810
2021-09-15 06:28:02.736988 : Epoch  9, Batch     72, Loss  0.597600, Average Loss  0.602292, Time  0.256373
2021-09-15 06:28:04.415403 : Epoch  9, Batch     73, Loss  0.605638, Average Loss  0.602352, Time  0.258896
2021-09-15 06:28:04.885716 : Epoch  2, Batch    829, Loss  0.880466, Average Loss  0.872851, Time  0.265018
2021-09-15 06:28:06.119429 : Epoch  9, Batch     74, Loss  0.593403, Average Loss  0.602290, Time  0.259223
2021-09-15 06:28:07.927922 : Epoch  2, Batch    830, Loss  0.864239, Average Loss  0.872873, Time  0.265365
2021-09-15 06:28:10.155867 : Epoch  9, Batch     75, Loss  0.589986, Average Loss  0.602254, Time  0.288070
2021-09-15 06:28:10.957648 : Epoch  2, Batch    831, Loss  0.881520, Average Loss  0.872976, Time  0.265438
2021-09-15 06:28:11.678320 : Epoch  9, Batch     76, Loss  0.597478, Average Loss  0.602219, Time  0.244397
2021-09-15 06:28:13.344883 : Epoch  9, Batch     77, Loss  0.596726, Average Loss  0.602139, Time  0.257318
2021-09-15 06:28:14.012955 : Epoch  2, Batch    832, Loss  0.863286, Average Loss  0.872868, Time  0.264556
2021-09-15 06:28:14.897050 : Epoch  9, Batch     78, Loss  0.608602, Average Loss  0.602141, Time  0.240183
2021-09-15 06:28:16.432997 : Epoch  9, Batch     79, Loss  0.604487, Average Loss  0.602097, Time  0.239629
2021-09-15 06:28:17.037357 : Epoch  2, Batch    833, Loss  0.866793, Average Loss  0.872730, Time  0.265913
2021-09-15 06:28:17.960685 : Epoch  9, Batch     80, Loss  0.614882, Average Loss  0.602205, Time  0.238275
2021-09-15 06:28:19.483924 : Epoch  9, Batch     81, Loss  0.604026, Average Loss  0.602175, Time  0.238266
2021-09-15 06:28:20.078485 : Epoch  2, Batch    834, Loss  0.875578, Average Loss  0.872670, Time  0.264894
2021-09-15 06:28:21.012308 : Epoch  9, Batch     82, Loss  0.598947, Average Loss  0.602113, Time  0.241609
2021-09-15 06:28:22.707108 : Epoch  9, Batch     83, Loss  0.605423, Average Loss  0.602095, Time  0.258942
2021-09-15 06:28:23.145248 : Epoch  2, Batch    835, Loss  0.861589, Average Loss  0.872628, Time  0.266364
2021-09-15 06:28:24.246638 : Epoch  9, Batch     84, Loss  0.606349, Average Loss  0.602116, Time  0.241293
2021-09-15 06:28:25.783197 : Epoch  9, Batch     85, Loss  0.605420, Average Loss  0.602148, Time  0.238729
2021-09-15 06:28:26.172492 : Epoch  2, Batch    836, Loss  0.868329, Average Loss  0.872605, Time  0.264286
2021-09-15 06:28:26.668013 : CheckPoint: Validation Loss  0.00024630, Best Loss  0.00024467
2021-09-15 06:28:27.316795 : Epoch  9, Batch     86, Loss  0.601021, Average Loss  0.602245, Time  0.241075
2021-09-15 06:28:28.224228 : Epoch 10, Batch    218, Loss  0.607048, Average Loss  0.601549, Time  0.231943
2021-09-15 06:28:28.852978 : Epoch  9, Batch     87, Loss  0.593847, Average Loss  0.602219, Time  0.241169
2021-09-15 06:28:29.208891 : Epoch  2, Batch    837, Loss  0.884071, Average Loss  0.872680, Time  0.265199
2021-09-15 06:28:29.772208 : Epoch 10, Batch    219, Loss  0.606597, Average Loss  0.601613, Time  0.231080
2021-09-15 06:28:30.383328 : Epoch  9, Batch     88, Loss  0.593568, Average Loss  0.602133, Time  0.238575
2021-09-15 06:28:31.328077 : Epoch 10, Batch    220, Loss  0.601395, Average Loss  0.601581, Time  0.231778
2021-09-15 06:28:31.915398 : Epoch  9, Batch     89, Loss  0.584450, Average Loss  0.602064, Time  0.239565
2021-09-15 06:28:32.226928 : Epoch  2, Batch    838, Loss  0.892868, Average Loss  0.872836, Time  0.264819
2021-09-15 06:28:32.884191 : Epoch 10, Batch    221, Loss  0.595495, Average Loss  0.601525, Time  0.231301
2021-09-15 06:28:33.610405 : Epoch  9, Batch     90, Loss  0.603557, Average Loss  0.602106, Time  0.258960
2021-09-15 06:28:34.435391 : Epoch 10, Batch    222, Loss  0.604888, Average Loss  0.601546, Time  0.231540
2021-09-15 06:28:35.255072 : Epoch  2, Batch    839, Loss  0.896578, Average Loss  0.872912, Time  0.264941
2021-09-15 06:28:35.302260 : Epoch  9, Batch     91, Loss  0.613841, Average Loss  0.602176, Time  0.260622
2021-09-15 06:28:35.996300 : Epoch 10, Batch    223, Loss  0.600121, Average Loss  0.601563, Time  0.232375
2021-09-15 06:28:36.987463 : Epoch  9, Batch     92, Loss  0.597925, Average Loss  0.602070, Time  0.256227
2021-09-15 06:28:37.547968 : Epoch 10, Batch    224, Loss  0.608008, Average Loss  0.601638, Time  0.231271
2021-09-15 06:28:38.319887 : Epoch  2, Batch    840, Loss  0.872594, Average Loss  0.872905, Time  0.280431
2021-09-15 06:28:38.520978 : Epoch  9, Batch     93, Loss  0.595806, Average Loss  0.602045, Time  0.241368
2021-09-15 06:28:39.103656 : Epoch 10, Batch    225, Loss  0.589411, Average Loss  0.601565, Time  0.231115
2021-09-15 06:28:40.049099 : Epoch  9, Batch     94, Loss  0.585724, Average Loss  0.601965, Time  0.240010
2021-09-15 06:28:40.657621 : Epoch 10, Batch    226, Loss  0.598210, Average Loss  0.601456, Time  0.231098
2021-09-15 06:28:41.343423 : Epoch  2, Batch    841, Loss  0.874954, Average Loss  0.872890, Time  0.265453
2021-09-15 06:28:41.587582 : Epoch  9, Batch     95, Loss  0.609104, Average Loss  0.602057, Time  0.243424
2021-09-15 06:28:42.208012 : Epoch 10, Batch    227, Loss  0.590976, Average Loss  0.601449, Time  0.231376
2021-09-15 06:28:43.106335 : Epoch  9, Batch     96, Loss  0.596176, Average Loss  0.602026, Time  0.237956
2021-09-15 06:28:43.769269 : Epoch 10, Batch    228, Loss  0.597248, Average Loss  0.601396, Time  0.231445
2021-09-15 06:28:44.367510 : Epoch  2, Batch    842, Loss  0.872856, Average Loss  0.872820, Time  0.264825
2021-09-15 06:28:44.629219 : Epoch  9, Batch     97, Loss  0.602810, Average Loss  0.602074, Time  0.238898
2021-09-15 06:28:45.316640 : Epoch 10, Batch    229, Loss  0.598230, Average Loss  0.601394, Time  0.231282
2021-09-15 06:28:46.159397 : Epoch  9, Batch     98, Loss  0.599019, Average Loss  0.602063, Time  0.238912
2021-09-15 06:28:46.873984 : Epoch 10, Batch    230, Loss  0.607205, Average Loss  0.601406, Time  0.231735
2021-09-15 06:28:47.388370 : Epoch  2, Batch    843, Loss  0.891161, Average Loss  0.872943, Time  0.265165
2021-09-15 06:28:47.699415 : Epoch  9, Batch     99, Loss  0.591676, Average Loss  0.601970, Time  0.240359
2021-09-15 06:28:48.477396 : Epoch 10, Batch    231, Loss  0.618891, Average Loss  0.601429, Time  0.231392
2021-09-15 06:28:49.222211 : Epoch  9, Batch    100, Loss  0.604473, Average Loss  0.601958, Time  0.240194
2021-09-15 06:28:50.029276 : Epoch 10, Batch    232, Loss  0.590116, Average Loss  0.601340, Time  0.231557
2021-09-15 06:28:50.409421 : Epoch  2, Batch    844, Loss  0.863008, Average Loss  0.872823, Time  0.264244
2021-09-15 06:28:50.745774 : Epoch  9, Batch    101, Loss  0.594252, Average Loss  0.601942, Time  0.238460
2021-09-15 06:28:51.584045 : Epoch 10, Batch    233, Loss  0.605242, Average Loss  0.601391, Time  0.233552
2021-09-15 06:28:52.262193 : Epoch  9, Batch    102, Loss  0.596263, Average Loss  0.601923, Time  0.240741
2021-09-15 06:28:53.154326 : Epoch 10, Batch    234, Loss  0.601389, Average Loss  0.601358, Time  0.232160
2021-09-15 06:28:53.802382 : Epoch  9, Batch    103, Loss  0.598597, Average Loss  0.601933, Time  0.239658
2021-09-15 06:28:54.709235 : Epoch 10, Batch    235, Loss  0.595726, Average Loss  0.601254, Time  0.231562
2021-09-15 06:28:55.482432 : Epoch  9, Batch    104, Loss  0.608488, Average Loss  0.601984, Time  0.258437
2021-09-15 06:28:56.270162 : Epoch 10, Batch    236, Loss  0.604680, Average Loss  0.601317, Time  0.231537
2021-09-15 06:28:57.825386 : Epoch 10, Batch    237, Loss  0.592876, Average Loss  0.601270, Time  0.231384
2021-09-15 06:28:59.372235 : Epoch 10, Batch    238, Loss  0.595446, Average Loss  0.601211, Time  0.231304
2021-09-15 06:29:00.939686 : Epoch 10, Batch    239, Loss  0.589117, Average Loss  0.601166, Time  0.232151
2021-09-15 06:29:02.490863 : Epoch 10, Batch    240, Loss  0.602906, Average Loss  0.601215, Time  0.231596
2021-09-15 06:29:04.043174 : Epoch 10, Batch    241, Loss  0.597202, Average Loss  0.601191, Time  0.231565
2021-09-15 06:29:05.592363 : Epoch 10, Batch    242, Loss  0.595828, Average Loss  0.601144, Time  0.232080
2021-09-15 06:29:07.144389 : Epoch 10, Batch    243, Loss  0.600931, Average Loss  0.601056, Time  0.231286
2021-09-15 06:29:08.699225 : Epoch 10, Batch    244, Loss  0.610570, Average Loss  0.601099, Time  0.231088
2021-09-15 06:29:10.246333 : Epoch 10, Batch    245, Loss  0.596674, Average Loss  0.600999, Time  0.231541
2021-09-15 06:29:11.804684 : Epoch 10, Batch    246, Loss  0.604166, Average Loss  0.601064, Time  0.231034
2021-09-15 06:29:13.356172 : Epoch 10, Batch    247, Loss  0.599467, Average Loss  0.601038, Time  0.231550
2021-09-15 06:29:14.915103 : Epoch 10, Batch    248, Loss  0.589157, Average Loss  0.600991, Time  0.231852
2021-09-15 06:29:16.473375 : Epoch 10, Batch    249, Loss  0.591458, Average Loss  0.600946, Time  0.231976
2021-09-15 06:29:18.018179 : Epoch 10, Batch    250, Loss  0.598061, Average Loss  0.600945, Time  0.230860
2021-09-15 06:29:19.573695 : Epoch 10, Batch    251, Loss  0.618938, Average Loss  0.600997, Time  0.231089
2021-09-15 06:29:21.124275 : Epoch 10, Batch    252, Loss  0.592719, Average Loss  0.600916, Time  0.232510
2021-09-15 06:29:22.677672 : Epoch 10, Batch    253, Loss  0.600323, Average Loss  0.600859, Time  0.232344
2021-09-15 06:29:24.224250 : Epoch 10, Batch    254, Loss  0.603640, Average Loss  0.600834, Time  0.231520
2021-09-15 06:29:25.769846 : Epoch 10, Batch    255, Loss  0.606322, Average Loss  0.600889, Time  0.231561
2021-09-15 06:29:27.328994 : Epoch 10, Batch    256, Loss  0.594549, Average Loss  0.600830, Time  0.231095
2021-09-15 06:29:28.872656 : Epoch 10, Batch    257, Loss  0.603243, Average Loss  0.600850, Time  0.231964
2021-09-15 06:29:30.416826 : Epoch 10, Batch    258, Loss  0.597890, Average Loss  0.600788, Time  0.231234
2021-09-15 06:29:31.965145 : Epoch 10, Batch    259, Loss  0.605737, Average Loss  0.600857, Time  0.231721
2021-09-15 06:29:33.513640 : Epoch 10, Batch    260, Loss  0.613482, Average Loss  0.600906, Time  0.232221
2021-09-15 06:29:35.058016 : Epoch 10, Batch    261, Loss  0.597393, Average Loss  0.600943, Time  0.231754
2021-09-15 06:29:35.195056 : Epoch 10, Batch    262, Loss  0.465885, Average Loss  0.600252, Time  0.091511
2021-09-15 06:29:36.728383 : Epoch 10, Batch    263, Loss  0.610743, Average Loss  0.600310, Time  0.231191
2021-09-15 06:29:38.283387 : Epoch 10, Batch    264, Loss  0.604279, Average Loss  0.600333, Time  0.231939
2021-09-15 06:29:39.822200 : Epoch 10, Batch    265, Loss  0.594220, Average Loss  0.600315, Time  0.231405
2021-09-15 06:29:41.358373 : Epoch 10, Batch    266, Loss  0.604523, Average Loss  0.600319, Time  0.230966
2021-09-15 06:29:42.905254 : Epoch 10, Batch    267, Loss  0.601032, Average Loss  0.600246, Time  0.231264
2021-09-15 06:29:44.449659 : Epoch 10, Batch    268, Loss  0.596902, Average Loss  0.600259, Time  0.231042
2021-09-15 06:29:45.988323 : Epoch 10, Batch    269, Loss  0.607302, Average Loss  0.600282, Time  0.231657
2021-09-15 06:29:47.552668 : Epoch 10, Batch    270, Loss  0.583343, Average Loss  0.600163, Time  0.231020
2021-09-15 06:29:49.097493 : Epoch 10, Batch    271, Loss  0.599632, Average Loss  0.600196, Time  0.231779
2021-09-15 06:29:50.649088 : Epoch 10, Batch    272, Loss  0.592753, Average Loss  0.600142, Time  0.232342
2021-09-15 06:29:52.212225 : Epoch 10, Batch    273, Loss  0.601566, Average Loss  0.600119, Time  0.231498
2021-09-15 06:29:53.758350 : Epoch 10, Batch    274, Loss  0.603214, Average Loss  0.600146, Time  0.231329
2021-09-15 06:29:55.307345 : Epoch 10, Batch    275, Loss  0.599658, Average Loss  0.600108, Time  0.231366
2021-09-15 06:29:56.850348 : Epoch 10, Batch    276, Loss  0.597328, Average Loss  0.600088, Time  0.231340
2021-09-15 06:29:57.320696 : CheckPoint: Validation Loss  0.00025331, Best Loss  0.00024341
2021-09-15 06:29:58.385246 : Epoch 10, Batch    277, Loss  0.601665, Average Loss  0.599995, Time  0.231117
2021-09-15 06:29:58.837805 : Epoch  9, Batch    105, Loss  0.592451, Average Loss  0.601967, Time  0.240083
2021-09-15 06:29:59.935682 : Epoch 10, Batch    278, Loss  0.589064, Average Loss  0.599935, Time  0.231096
2021-09-15 06:30:00.347271 : Epoch  9, Batch    106, Loss  0.596980, Average Loss  0.601951, Time  0.238698
2021-09-15 06:30:01.490294 : Epoch 10, Batch    279, Loss  0.602486, Average Loss  0.599961, Time  0.231844
2021-09-15 06:30:01.856421 : Epoch  9, Batch    107, Loss  0.591795, Average Loss  0.601928, Time  0.238432
2021-09-15 06:30:03.040106 : Epoch 10, Batch    280, Loss  0.591072, Average Loss  0.599979, Time  0.231238
2021-09-15 06:30:03.374354 : Epoch  9, Batch    108, Loss  0.609482, Average Loss  0.601951, Time  0.239600
2021-09-15 06:30:04.601410 : Epoch 10, Batch    281, Loss  0.596934, Average Loss  0.599975, Time  0.231941
2021-09-15 06:30:04.904833 : Epoch  9, Batch    109, Loss  0.597829, Average Loss  0.601882, Time  0.239510
2021-09-15 06:30:06.144826 : Epoch 10, Batch    282, Loss  0.612144, Average Loss  0.600080, Time  0.232211
2021-09-15 06:30:06.412344 : Epoch  9, Batch    110, Loss  0.604310, Average Loss  0.601889, Time  0.238881
2021-09-15 06:30:07.689567 : Epoch 10, Batch    283, Loss  0.605838, Average Loss  0.600115, Time  0.232119
2021-09-15 06:30:07.921831 : Epoch  9, Batch    111, Loss  0.604222, Average Loss  0.601898, Time  0.237992
2021-09-15 06:30:09.237145 : Epoch 10, Batch    284, Loss  0.600251, Average Loss  0.600138, Time  0.232421
2021-09-15 06:30:09.440075 : Epoch  9, Batch    112, Loss  0.599668, Average Loss  0.601882, Time  0.241065
2021-09-15 06:30:10.781708 : Epoch 10, Batch    285, Loss  0.597525, Average Loss  0.600104, Time  0.231200
2021-09-15 06:30:10.972351 : Epoch  9, Batch    113, Loss  0.606036, Average Loss  0.601873, Time  0.239184
2021-09-15 06:30:12.336357 : Epoch 10, Batch    286, Loss  0.585816, Average Loss  0.600043, Time  0.231611
2021-09-15 06:30:12.499559 : Epoch  9, Batch    114, Loss  0.595024, Average Loss  0.601827, Time  0.241265
2021-09-15 06:30:13.886069 : Epoch 10, Batch    287, Loss  0.608735, Average Loss  0.600082, Time  0.231963
2021-09-15 06:30:14.014404 : Epoch  9, Batch    115, Loss  0.607198, Average Loss  0.601940, Time  0.238024
2021-09-15 06:30:15.431484 : Epoch 10, Batch    288, Loss  0.600809, Average Loss  0.600065, Time  0.231414
2021-09-15 06:30:15.528428 : Epoch  9, Batch    116, Loss  0.606985, Average Loss  0.601956, Time  0.237734
2021-09-15 06:30:17.055432 : Epoch  9, Batch    117, Loss  0.605080, Average Loss  0.602079, Time  0.239552
2021-09-15 06:30:18.594438 : Epoch  9, Batch    118, Loss  0.600766, Average Loss  0.602003, Time  0.239423
2021-09-15 06:30:19.378110 : Epoch 10, Batch    289, Loss  0.609874, Average Loss  0.600103, Time  0.273121
2021-09-15 06:30:20.119815 : Epoch  9, Batch    119, Loss  0.593220, Average Loss  0.601920, Time  0.238799
2021-09-15 06:30:20.937088 : Epoch 10, Batch    290, Loss  0.587922, Average Loss  0.600100, Time  0.250244
2021-09-15 06:30:21.648987 : Epoch  9, Batch    120, Loss  0.596644, Average Loss  0.601927, Time  0.239850
2021-09-15 06:30:22.475538 : Epoch 10, Batch    291, Loss  0.601175, Average Loss  0.600117, Time  0.233038
2021-09-15 06:30:23.228398 : Epoch  9, Batch    121, Loss  0.611151, Average Loss  0.601956, Time  0.238229
2021-09-15 06:30:24.018254 : Epoch 10, Batch    292, Loss  0.593513, Average Loss  0.600032, Time  0.231827
2021-09-15 06:30:24.766930 : Epoch  9, Batch    122, Loss  0.602505, Average Loss  0.601998, Time  0.241429
2021-09-15 06:30:25.558383 : Epoch 10, Batch    293, Loss  0.598396, Average Loss  0.600054, Time  0.230946
2021-09-15 06:30:26.300405 : Epoch  9, Batch    123, Loss  0.606179, Average Loss  0.602044, Time  0.240480
2021-09-15 06:30:27.096002 : Epoch 10, Batch    294, Loss  0.605927, Average Loss  0.600024, Time  0.231863
2021-09-15 06:30:27.828338 : Epoch  9, Batch    124, Loss  0.604762, Average Loss  0.601993, Time  0.240149
2021-09-15 06:30:28.638658 : Epoch 10, Batch    295, Loss  0.581672, Average Loss  0.600002, Time  0.231293
2021-09-15 06:30:29.353361 : Epoch  9, Batch    125, Loss  0.606682, Average Loss  0.602014, Time  0.239332
2021-09-15 06:30:30.191573 : Epoch 10, Batch    296, Loss  0.601788, Average Loss  0.600019, Time  0.231158
2021-09-15 06:30:30.878181 : Epoch  9, Batch    126, Loss  0.598869, Average Loss  0.602054, Time  0.238605
2021-09-15 06:30:31.726148 : Epoch 10, Batch    297, Loss  0.597965, Average Loss  0.599961, Time  0.231233
2021-09-15 06:30:32.422439 : Epoch  9, Batch    127, Loss  0.605698, Average Loss  0.602059, Time  0.242274
2021-09-15 06:30:33.262155 : Epoch 10, Batch    298, Loss  0.593159, Average Loss  0.599984, Time  0.231088
2021-09-15 06:30:33.954905 : Epoch  9, Batch    128, Loss  0.603104, Average Loss  0.602041, Time  0.240085
2021-09-15 06:30:34.800900 : Epoch 10, Batch    299, Loss  0.599496, Average Loss  0.599914, Time  0.231231
2021-09-15 06:30:35.495856 : Epoch  9, Batch    129, Loss  0.599234, Average Loss  0.602017, Time  0.247961
2021-09-15 06:30:36.386596 : Epoch 10, Batch    300, Loss  0.601921, Average Loss  0.599950, Time  0.231453
2021-09-15 06:30:37.021139 : Epoch  9, Batch    130, Loss  0.599844, Average Loss  0.601988, Time  0.241119
2021-09-15 06:30:37.927832 : Epoch 10, Batch    301, Loss  0.607138, Average Loss  0.599958, Time  0.230661
2021-09-15 06:30:38.556877 : Epoch  9, Batch    131, Loss  0.599973, Average Loss  0.601943, Time  0.240233
2021-09-15 06:30:39.469028 : Epoch 10, Batch    302, Loss  0.599594, Average Loss  0.599925, Time  0.231933
2021-09-15 06:30:40.080963 : Epoch  9, Batch    132, Loss  0.607029, Average Loss  0.601969, Time  0.241617
2021-09-15 06:30:41.013688 : Epoch 10, Batch    303, Loss  0.604509, Average Loss  0.599915, Time  0.230840
2021-09-15 06:30:41.627868 : Epoch  9, Batch    133, Loss  0.591693, Average Loss  0.601937, Time  0.240638
2021-09-15 06:30:42.560047 : Epoch 10, Batch    304, Loss  0.600095, Average Loss  0.599942, Time  0.230732
2021-09-15 06:30:43.160962 : Epoch  9, Batch    134, Loss  0.595962, Average Loss  0.601928, Time  0.241170
2021-09-15 06:30:44.091024 : Epoch 10, Batch    305, Loss  0.605113, Average Loss  0.599960, Time  0.230660
2021-09-15 06:30:44.697037 : Epoch  9, Batch    135, Loss  0.610740, Average Loss  0.601989, Time  0.241757
2021-09-15 06:30:45.628800 : Epoch 10, Batch    306, Loss  0.602716, Average Loss  0.599997, Time  0.231264
2021-09-15 06:30:46.229119 : Epoch  9, Batch    136, Loss  0.611489, Average Loss  0.602034, Time  0.239458
2021-09-15 06:30:47.170005 : Epoch 10, Batch    307, Loss  0.597523, Average Loss  0.599950, Time  0.230905
2021-09-15 06:30:47.752355 : Epoch  9, Batch    137, Loss  0.599808, Average Loss  0.602033, Time  0.236400
2021-09-15 06:30:48.703367 : Epoch 10, Batch    308, Loss  0.602169, Average Loss  0.599886, Time  0.231090
2021-09-15 06:30:49.417825 : Epoch  9, Batch    138, Loss  0.609195, Average Loss  0.602050, Time  0.238529
2021-09-15 06:30:50.247927 : Epoch 10, Batch    309, Loss  0.594171, Average Loss  0.599798, Time  0.231387
2021-09-15 06:30:51.005148 : Epoch  9, Batch    139, Loss  0.597201, Average Loss  0.601966, Time  0.241696
2021-09-15 06:30:51.798106 : Epoch 10, Batch    310, Loss  0.606292, Average Loss  0.599816, Time  0.231272
2021-09-15 06:30:52.552439 : Epoch  9, Batch    140, Loss  0.609837, Average Loss  0.602005, Time  0.241863
2021-09-15 06:30:53.346367 : Epoch 10, Batch    311, Loss  0.613183, Average Loss  0.599832, Time  0.232223
2021-09-15 06:30:54.092832 : Epoch  9, Batch    141, Loss  0.603084, Average Loss  0.602055, Time  0.241430
2021-09-15 06:30:54.901195 : Epoch 10, Batch    312, Loss  0.591070, Average Loss  0.599843, Time  0.231102
2021-09-15 06:30:55.620808 : Epoch  9, Batch    142, Loss  0.603171, Average Loss  0.602052, Time  0.240238
2021-09-15 06:30:56.441343 : Epoch 10, Batch    313, Loss  0.595459, Average Loss  0.599851, Time  0.230798
2021-09-15 06:30:57.166400 : Epoch  9, Batch    143, Loss  0.598417, Average Loss  0.602052, Time  0.242339
2021-09-15 06:30:57.990341 : Epoch 10, Batch    314, Loss  0.611932, Average Loss  0.599872, Time  0.231040
2021-09-15 06:30:58.725833 : Epoch  9, Batch    144, Loss  0.608746, Average Loss  0.602053, Time  0.242829
2021-09-15 06:30:59.535352 : Epoch 10, Batch    315, Loss  0.607230, Average Loss  0.599854, Time  0.230992
2021-09-15 06:31:00.272191 : Epoch  9, Batch    145, Loss  0.603968, Average Loss  0.602058, Time  0.242007
2021-09-15 06:31:01.077047 : Epoch 10, Batch    316, Loss  0.592475, Average Loss  0.599885, Time  0.231341
2021-09-15 06:31:01.809429 : Epoch  9, Batch    146, Loss  0.602582, Average Loss  0.602074, Time  0.238939
2021-09-15 06:31:02.628383 : Epoch 10, Batch    317, Loss  0.593992, Average Loss  0.599849, Time  0.231586
2021-09-15 06:31:03.332780 : Epoch  9, Batch    147, Loss  0.596722, Average Loss  0.602081, Time  0.238565
2021-09-15 06:31:05.033120 : Epoch  9, Batch    148, Loss  0.606892, Average Loss  0.602113, Time  0.258896
2021-09-15 06:31:06.558270 : Epoch  9, Batch    149, Loss  0.610314, Average Loss  0.602116, Time  0.236429
2021-09-15 06:31:08.086332 : Epoch  9, Batch    150, Loss  0.613781, Average Loss  0.602198, Time  0.237312
2021-09-15 06:31:09.631488 : Epoch  9, Batch    151, Loss  0.603445, Average Loss  0.602193, Time  0.241062
2021-09-15 06:31:11.163811 : Epoch  9, Batch    152, Loss  0.602472, Average Loss  0.602189, Time  0.240669
2021-09-15 06:31:12.846115 : Epoch  9, Batch    153, Loss  0.596899, Average Loss  0.602184, Time  0.257798
2021-09-15 06:31:14.377380 : Epoch  9, Batch    154, Loss  0.599094, Average Loss  0.602141, Time  0.242169
2021-09-15 06:31:15.931426 : Epoch  9, Batch    155, Loss  0.616548, Average Loss  0.602177, Time  0.241811
2021-09-15 06:31:17.478895 : Epoch  9, Batch    156, Loss  0.596209, Average Loss  0.602089, Time  0.241859
2021-09-15 06:31:19.010416 : Epoch  9, Batch    157, Loss  0.595566, Average Loss  0.602058, Time  0.238798
2021-09-15 06:31:20.538571 : Epoch  9, Batch    158, Loss  0.599896, Average Loss  0.602065, Time  0.241156
2021-09-15 06:31:22.218868 : Epoch  9, Batch    159, Loss  0.592242, Average Loss  0.602016, Time  0.260341
2021-09-15 06:31:23.928474 : Epoch  9, Batch    160, Loss  0.614353, Average Loss  0.602102, Time  0.263064
2021-09-15 06:31:25.619800 : Epoch  9, Batch    161, Loss  0.604313, Average Loss  0.602136, Time  0.258267
2021-09-15 06:31:27.167609 : Epoch  9, Batch    162, Loss  0.599437, Average Loss  0.602062, Time  0.240904
2021-09-15 06:31:28.867209 : Epoch  9, Batch    163, Loss  0.593549, Average Loss  0.602006, Time  0.258820
2021-09-15 06:31:30.411032 : Epoch  9, Batch    164, Loss  0.601385, Average Loss  0.601968, Time  0.238788
2021-09-15 06:31:31.930757 : Epoch  9, Batch    165, Loss  0.593826, Average Loss  0.601869, Time  0.238336
2021-09-15 06:31:33.453153 : Epoch  9, Batch    166, Loss  0.609011, Average Loss  0.601900, Time  0.240667
2021-09-15 06:31:35.002012 : Epoch  9, Batch    167, Loss  0.605097, Average Loss  0.601897, Time  0.240521
2021-09-15 06:31:36.556869 : Epoch  9, Batch    168, Loss  0.602876, Average Loss  0.601884, Time  0.240559
2021-09-15 06:31:38.101400 : Epoch  9, Batch    169, Loss  0.597054, Average Loss  0.601884, Time  0.240335
2021-09-15 06:31:39.690526 : Epoch  9, Batch    170, Loss  0.601527, Average Loss  0.601912, Time  0.240909
2021-09-15 06:31:41.218365 : Epoch  9, Batch    171, Loss  0.597362, Average Loss  0.601923, Time  0.238534
2021-09-15 06:31:42.746971 : Epoch  9, Batch    172, Loss  0.589716, Average Loss  0.601899, Time  0.238364
2021-09-15 06:31:44.297383 : Epoch  9, Batch    173, Loss  0.591037, Average Loss  0.601828, Time  0.241140
2021-09-15 06:31:45.819282 : Epoch  9, Batch    174, Loss  0.604682, Average Loss  0.601816, Time  0.239048
2021-09-15 06:31:50.108906 : Epoch  9, Batch    175, Loss  0.610771, Average Loss  0.601803, Time  0.296184
2021-09-15 06:31:51.802190 : Epoch  9, Batch    176, Loss  0.612138, Average Loss  0.601865, Time  0.278383
2021-09-15 06:31:53.484031 : Epoch  9, Batch    177, Loss  0.582805, Average Loss  0.601751, Time  0.262780
2021-09-15 06:31:55.025414 : Epoch  9, Batch    178, Loss  0.589534, Average Loss  0.601751, Time  0.239000
2021-09-15 06:31:56.559486 : Epoch  9, Batch    179, Loss  0.604049, Average Loss  0.601785, Time  0.239826
2021-09-15 06:31:58.076756 : Epoch  9, Batch    180, Loss  0.596180, Average Loss  0.601749, Time  0.239196
2021-09-15 06:31:59.598390 : Epoch  9, Batch    181, Loss  0.595021, Average Loss  0.601679, Time  0.240580
2021-09-15 06:32:00.631735 : CheckPoint: Validation Loss  0.00024263, Best Loss  0.00024263
2021-09-15 06:32:00.667553 : Best Model Updated
2021-09-15 06:32:01.128124 : Epoch  9, Batch    182, Loss  0.604951, Average Loss  0.601686, Time  0.241498
2021-09-15 06:32:02.685368 : Epoch  9, Batch    183, Loss  0.593630, Average Loss  0.601659, Time  0.239522
2021-09-15 06:32:03.095418 : Epoch 10, Batch    318, Loss  0.588245, Average Loss  0.599813, Time  0.263090
2021-09-15 06:32:04.363384 : Epoch  9, Batch    184, Loss  0.609449, Average Loss  0.601696, Time  0.256589
2021-09-15 06:32:04.641331 : Epoch 10, Batch    319, Loss  0.612576, Average Loss  0.599894, Time  0.238353
2021-09-15 06:32:05.886233 : Epoch  9, Batch    185, Loss  0.594313, Average Loss  0.601682, Time  0.239115
2021-09-15 06:32:06.189844 : Epoch 10, Batch    320, Loss  0.598868, Average Loss  0.599920, Time  0.231132
2021-09-15 06:32:07.420385 : Epoch  9, Batch    186, Loss  0.600362, Average Loss  0.601634, Time  0.241982
2021-09-15 06:32:07.731985 : Epoch 10, Batch    321, Loss  0.593811, Average Loss  0.599882, Time  0.231277
2021-09-15 06:32:08.966672 : Epoch  9, Batch    187, Loss  0.602902, Average Loss  0.601634, Time  0.241448
2021-09-15 06:32:09.273339 : Epoch 10, Batch    322, Loss  0.605245, Average Loss  0.599894, Time  0.231660
2021-09-15 06:32:10.631432 : Epoch  9, Batch    188, Loss  0.598966, Average Loss  0.601646, Time  0.238150
2021-09-15 06:32:10.808978 : Epoch 10, Batch    323, Loss  0.604588, Average Loss  0.599937, Time  0.231435
2021-09-15 06:32:12.157065 : Epoch  9, Batch    189, Loss  0.600464, Average Loss  0.601576, Time  0.237892
2021-09-15 06:32:12.352999 : Epoch 10, Batch    324, Loss  0.584133, Average Loss  0.599843, Time  0.232168
2021-09-15 06:32:13.691856 : Epoch  9, Batch    190, Loss  0.606374, Average Loss  0.601598, Time  0.241031
2021-09-15 06:32:13.898075 : Epoch 10, Batch    325, Loss  0.584936, Average Loss  0.599719, Time  0.231457
2021-09-15 06:32:15.225408 : Epoch  9, Batch    191, Loss  0.601740, Average Loss  0.601601, Time  0.241062
2021-09-15 06:32:15.435372 : Epoch 10, Batch    326, Loss  0.604174, Average Loss  0.599708, Time  0.231203
2021-09-15 06:32:16.905313 : Epoch  9, Batch    192, Loss  0.596827, Average Loss  0.601561, Time  0.255762
2021-09-15 06:32:16.979627 : Epoch 10, Batch    327, Loss  0.595755, Average Loss  0.599654, Time  0.231699
2021-09-15 06:32:18.540353 : Epoch 10, Batch    328, Loss  0.609803, Average Loss  0.599710, Time  0.231064
2021-09-15 06:32:18.581796 : Epoch  9, Batch    193, Loss  0.594350, Average Loss  0.601535, Time  0.255660
2021-09-15 06:32:20.094352 : Epoch 10, Batch    329, Loss  0.596459, Average Loss  0.599735, Time  0.231135
2021-09-15 06:32:20.127862 : Epoch  9, Batch    194, Loss  0.607529, Average Loss  0.601513, Time  0.237559
2021-09-15 06:32:21.639390 : Epoch 10, Batch    330, Loss  0.589977, Average Loss  0.599683, Time  0.233013
2021-09-15 06:32:21.677726 : Epoch  9, Batch    195, Loss  0.609907, Average Loss  0.601579, Time  0.240335
2021-09-15 06:32:23.191058 : Epoch 10, Batch    331, Loss  0.595004, Average Loss  0.599649, Time  0.232320
2021-09-15 06:32:23.224934 : Epoch  9, Batch    196, Loss  0.607402, Average Loss  0.601608, Time  0.241205
2021-09-15 06:32:24.734868 : Epoch 10, Batch    332, Loss  0.608208, Average Loss  0.599681, Time  0.231340
2021-09-15 06:32:24.773981 : Epoch  9, Batch    197, Loss  0.601821, Average Loss  0.601580, Time  0.239609
2021-09-15 06:32:26.287238 : Epoch 10, Batch    333, Loss  0.602746, Average Loss  0.599715, Time  0.231959
2021-09-15 06:32:26.334970 : Epoch  9, Batch    198, Loss  0.603736, Average Loss  0.601562, Time  0.238938
2021-09-15 06:32:27.846013 : Epoch 10, Batch    334, Loss  0.599403, Average Loss  0.599661, Time  0.231698
2021-09-15 06:32:27.880579 : Epoch  9, Batch    199, Loss  0.599920, Average Loss  0.601595, Time  0.238398
2021-09-15 06:32:29.390139 : Epoch 10, Batch    335, Loss  0.608457, Average Loss  0.599673, Time  0.233411
2021-09-15 06:32:29.427453 : Epoch  9, Batch    200, Loss  0.600720, Average Loss  0.601608, Time  0.240577
2021-09-15 06:32:30.941113 : Epoch 10, Batch    336, Loss  0.612811, Average Loss  0.599689, Time  0.231587
2021-09-15 06:32:30.980046 : Epoch  9, Batch    201, Loss  0.604124, Average Loss  0.601583, Time  0.240453
2021-09-15 06:32:32.488881 : Epoch 10, Batch    337, Loss  0.610299, Average Loss  0.599716, Time  0.231654
2021-09-15 06:32:32.528434 : Epoch  9, Batch    202, Loss  0.597935, Average Loss  0.601608, Time  0.240667
2021-09-15 06:32:34.045897 : Epoch 10, Batch    338, Loss  0.590683, Average Loss  0.599704, Time  0.231312
2021-09-15 06:32:34.088106 : Epoch  9, Batch    203, Loss  0.597148, Average Loss  0.601555, Time  0.240733
2021-09-15 06:32:35.595864 : Epoch 10, Batch    339, Loss  0.592919, Average Loss  0.599641, Time  0.231671
2021-09-15 06:32:35.635386 : Epoch  9, Batch    204, Loss  0.606664, Average Loss  0.601595, Time  0.240690
2021-09-15 06:32:37.140830 : Epoch 10, Batch    340, Loss  0.603623, Average Loss  0.599637, Time  0.232286
2021-09-15 06:32:38.693702 : Epoch 10, Batch    341, Loss  0.606988, Average Loss  0.599587, Time  0.231455
2021-09-15 06:32:40.256256 : Epoch 10, Batch    342, Loss  0.606205, Average Loss  0.599607, Time  0.232883
2021-09-15 06:32:41.808306 : Epoch 10, Batch    343, Loss  0.583245, Average Loss  0.599573, Time  0.232620
2021-09-15 06:32:43.354923 : Epoch 10, Batch    344, Loss  0.594602, Average Loss  0.599502, Time  0.231276
2021-09-15 06:32:44.907406 : Epoch 10, Batch    345, Loss  0.605416, Average Loss  0.599564, Time  0.231215
2021-09-15 06:32:46.460298 : Epoch 10, Batch    346, Loss  0.598200, Average Loss  0.599476, Time  0.231198
2021-09-15 06:32:48.016317 : Epoch 10, Batch    347, Loss  0.592793, Average Loss  0.599446, Time  0.233034
2021-09-15 06:32:49.555017 : Epoch 10, Batch    348, Loss  0.607802, Average Loss  0.599520, Time  0.231559
2021-09-15 06:32:51.098357 : Epoch 10, Batch    349, Loss  0.599890, Average Loss  0.599473, Time  0.230839
2021-09-15 06:32:52.636243 : Epoch 10, Batch    350, Loss  0.591196, Average Loss  0.599403, Time  0.230521
2021-09-15 06:32:54.172982 : Epoch 10, Batch    351, Loss  0.610699, Average Loss  0.599478, Time  0.232057
2021-09-15 06:32:55.712398 : Epoch 10, Batch    352, Loss  0.586644, Average Loss  0.599429, Time  0.231401
2021-09-15 06:32:57.248061 : Epoch 10, Batch    353, Loss  0.612671, Average Loss  0.599440, Time  0.231314
2021-09-15 06:32:58.795218 : Epoch 10, Batch    354, Loss  0.598720, Average Loss  0.599425, Time  0.231612
2021-09-15 06:33:00.348697 : Epoch 10, Batch    355, Loss  0.602445, Average Loss  0.599384, Time  0.244457
2021-09-15 06:33:01.892156 : Epoch 10, Batch    356, Loss  0.598151, Average Loss  0.599412, Time  0.231797
2021-09-15 06:33:03.428749 : Epoch 10, Batch    357, Loss  0.600524, Average Loss  0.599413, Time  0.231159
2021-09-15 06:33:04.967369 : Epoch 10, Batch    358, Loss  0.593929, Average Loss  0.599376, Time  0.231156
2021-09-15 06:33:06.515385 : Epoch 10, Batch    359, Loss  0.605255, Average Loss  0.599384, Time  0.231403
2021-09-15 06:33:08.066308 : Epoch 10, Batch    360, Loss  0.598021, Average Loss  0.599348, Time  0.231479
2021-09-15 06:33:09.629942 : Epoch 10, Batch    361, Loss  0.589816, Average Loss  0.599333, Time  0.232042
2021-09-15 06:33:11.295233 : Epoch 10, Batch    362, Loss  0.599460, Average Loss  0.599374, Time  0.256299
2021-09-15 06:33:12.873025 : Epoch 10, Batch    363, Loss  0.610164, Average Loss  0.599384, Time  0.234443
2021-09-15 06:33:14.432789 : Epoch 10, Batch    364, Loss  0.587013, Average Loss  0.599345, Time  0.232158
2021-09-15 06:33:16.004207 : Epoch 10, Batch    365, Loss  0.604349, Average Loss  0.599350, Time  0.235794
2021-09-15 06:33:17.540654 : Epoch 10, Batch    366, Loss  0.596132, Average Loss  0.599305, Time  0.231427
2021-09-15 06:33:19.094555 : Epoch 10, Batch    367, Loss  0.599554, Average Loss  0.599301, Time  0.231896
2021-09-15 06:33:20.651340 : Epoch 10, Batch    368, Loss  0.611338, Average Loss  0.599360, Time  0.233822
2021-09-15 06:33:22.204104 : Epoch 10, Batch    369, Loss  0.593937, Average Loss  0.599339, Time  0.231857
2021-09-15 06:33:23.754385 : Epoch 10, Batch    370, Loss  0.595350, Average Loss  0.599243, Time  0.231829
2021-09-15 06:33:25.296910 : Epoch 10, Batch    371, Loss  0.606313, Average Loss  0.599304, Time  0.231998
2021-09-15 06:33:26.849156 : Epoch 10, Batch    372, Loss  0.607396, Average Loss  0.599318, Time  0.242124
2021-09-15 06:33:28.405485 : Epoch 10, Batch    373, Loss  0.594470, Average Loss  0.599354, Time  0.231561
2021-09-15 06:33:29.960060 : Epoch 10, Batch    374, Loss  0.614882, Average Loss  0.599375, Time  0.232169
2021-09-15 06:33:31.503083 : Epoch 10, Batch    375, Loss  0.587863, Average Loss  0.599310, Time  0.231248
2021-09-15 06:33:32.302721 : CheckPoint: Validation Loss  0.00030463, Best Loss  0.00029571
2021-09-15 06:33:32.658129 : CheckPoint: Validation Loss  0.00025103, Best Loss  0.00024341
2021-09-15 06:33:33.055194 : Epoch 10, Batch    376, Loss  0.607492, Average Loss  0.599342, Time  0.232577
2021-09-15 06:33:34.175950 : Epoch  9, Batch    205, Loss  0.596889, Average Loss  0.601593, Time  0.240946
2021-09-15 06:33:34.587931 : Epoch 10, Batch    377, Loss  0.599483, Average Loss  0.599379, Time  0.231519
2021-09-15 06:33:35.336406 : Epoch  2, Batch    845, Loss  0.894202, Average Loss  0.872938, Time  0.266104
2021-09-15 06:33:35.704288 : Epoch  9, Batch    206, Loss  0.606865, Average Loss  0.601659, Time  0.239750
2021-09-15 06:33:36.116149 : Epoch 10, Batch    378, Loss  0.600335, Average Loss  0.599376, Time  0.231480
2021-09-15 06:33:37.246334 : Epoch  9, Batch    207, Loss  0.610786, Average Loss  0.601675, Time  0.240822
2021-09-15 06:33:37.641511 : Epoch 10, Batch    379, Loss  0.584400, Average Loss  0.599261, Time  0.231133
2021-09-15 06:33:38.348041 : Epoch  2, Batch    846, Loss  0.889587, Average Loss  0.873054, Time  0.265082
2021-09-15 06:33:38.764778 : Epoch  9, Batch    208, Loss  0.600101, Average Loss  0.601646, Time  0.236414
2021-09-15 06:33:39.169363 : Epoch 10, Batch    380, Loss  0.599538, Average Loss  0.599272, Time  0.231714
2021-09-15 06:33:40.272704 : Epoch  9, Batch    209, Loss  0.606606, Average Loss  0.601666, Time  0.236543
2021-09-15 06:33:40.693637 : Epoch 10, Batch    381, Loss  0.596769, Average Loss  0.599294, Time  0.231305
2021-09-15 06:33:41.368265 : Epoch  2, Batch    847, Loss  0.874568, Average Loss  0.873045, Time  0.265028
2021-09-15 06:33:41.874770 : Epoch  9, Batch    210, Loss  0.600253, Average Loss  0.601690, Time  0.240418
2021-09-15 06:33:42.217761 : Epoch 10, Batch    382, Loss  0.612877, Average Loss  0.599343, Time  0.231619
2021-09-15 06:33:43.412438 : Epoch  9, Batch    211, Loss  0.606029, Average Loss  0.601767, Time  0.240082
2021-09-15 06:33:43.742358 : Epoch 10, Batch    383, Loss  0.603708, Average Loss  0.599377, Time  0.231184
2021-09-15 06:33:44.366804 : Epoch  2, Batch    848, Loss  0.854141, Average Loss  0.872927, Time  0.265440
2021-09-15 06:33:44.931619 : Epoch  9, Batch    212, Loss  0.589169, Average Loss  0.601700, Time  0.239161
2021-09-15 06:33:45.271243 : Epoch 10, Batch    384, Loss  0.598061, Average Loss  0.599376, Time  0.231171
2021-09-15 06:33:46.453922 : Epoch  9, Batch    213, Loss  0.598529, Average Loss  0.601668, Time  0.241040
2021-09-15 06:33:46.806351 : Epoch 10, Batch    385, Loss  0.601905, Average Loss  0.599337, Time  0.231021
2021-09-15 06:33:47.364997 : Epoch  2, Batch    849, Loss  0.850054, Average Loss  0.872755, Time  0.264853
2021-09-15 06:33:47.977361 : Epoch  9, Batch    214, Loss  0.606441, Average Loss  0.601728, Time  0.241070
2021-09-15 06:33:48.340142 : Epoch 10, Batch    386, Loss  0.600292, Average Loss  0.599332, Time  0.232642
2021-09-15 06:33:49.519970 : Epoch  9, Batch    215, Loss  0.609413, Average Loss  0.601771, Time  0.240456
2021-09-15 06:33:49.865297 : Epoch 10, Batch    387, Loss  0.602354, Average Loss  0.599393, Time  0.231886
2021-09-15 06:33:50.405970 : Epoch  2, Batch    850, Loss  0.868358, Average Loss  0.872748, Time  0.265076
2021-09-15 06:33:51.040393 : Epoch  9, Batch    216, Loss  0.595104, Average Loss  0.601707, Time  0.238832
2021-09-15 06:33:52.568997 : Epoch  9, Batch    217, Loss  0.609320, Average Loss  0.601737, Time  0.241362
2021-09-15 06:33:53.419872 : Epoch  2, Batch    851, Loss  0.886157, Average Loss  0.872897, Time  0.265677
2021-09-15 06:33:53.902983 : Epoch 10, Batch    388, Loss  0.604619, Average Loss  0.599427, Time  0.263107
2021-09-15 06:33:54.096887 : Epoch  9, Batch    218, Loss  0.607580, Average Loss  0.601756, Time  0.239011
2021-09-15 06:33:55.438353 : Epoch 10, Batch    389, Loss  0.604398, Average Loss  0.599418, Time  0.240370
2021-09-15 06:33:55.609855 : Epoch  9, Batch    219, Loss  0.593013, Average Loss  0.601686, Time  0.242346
2021-09-15 06:33:56.483183 : Epoch  2, Batch    852, Loss  0.878838, Average Loss  0.873077, Time  0.272398
2021-09-15 06:33:56.971890 : Epoch 10, Batch    390, Loss  0.587467, Average Loss  0.599349, Time  0.232143
2021-09-15 06:33:57.127376 : Epoch  9, Batch    220, Loss  0.605168, Average Loss  0.601692, Time  0.241253
2021-09-15 06:33:58.496383 : Epoch 10, Batch    391, Loss  0.603505, Average Loss  0.599376, Time  0.231323
2021-09-15 06:33:58.632668 : Epoch  9, Batch    221, Loss  0.600293, Average Loss  0.601687, Time  0.241034
2021-09-15 06:33:59.526980 : Epoch  2, Batch    853, Loss  0.855913, Average Loss  0.872880, Time  0.264770
2021-09-15 06:34:00.037827 : Epoch 10, Batch    392, Loss  0.589484, Average Loss  0.599339, Time  0.232021
2021-09-15 06:34:00.150453 : Epoch  9, Batch    222, Loss  0.588131, Average Loss  0.601579, Time  0.241073
2021-09-15 06:34:01.561377 : Epoch 10, Batch    393, Loss  0.602678, Average Loss  0.599372, Time  0.231243
2021-09-15 06:34:01.660057 : Epoch  9, Batch    223, Loss  0.591937, Average Loss  0.601529, Time  0.239687
2021-09-15 06:34:02.531800 : Epoch  2, Batch    854, Loss  0.863193, Average Loss  0.872814, Time  0.265028
2021-09-15 06:34:03.101620 : Epoch 10, Batch    394, Loss  0.598456, Average Loss  0.599359, Time  0.233650
2021-09-15 06:34:03.162328 : Epoch  9, Batch    224, Loss  0.609064, Average Loss  0.601544, Time  0.239497
2021-09-15 06:34:04.637353 : Epoch 10, Batch    395, Loss  0.594761, Average Loss  0.599329, Time  0.232955
2021-09-15 06:34:04.668006 : Epoch  9, Batch    225, Loss  0.614697, Average Loss  0.601572, Time  0.238405
2021-09-15 06:34:05.542466 : Epoch  2, Batch    855, Loss  0.866503, Average Loss  0.872754, Time  0.264565
2021-09-15 06:34:06.164977 : Epoch 10, Batch    396, Loss  0.617151, Average Loss  0.599404, Time  0.231802
2021-09-15 06:34:06.198784 : Epoch  9, Batch    226, Loss  0.589322, Average Loss  0.601405, Time  0.239321
2021-09-15 06:34:07.706345 : Epoch 10, Batch    397, Loss  0.601539, Average Loss  0.599389, Time  0.231404
2021-09-15 06:34:07.741295 : Epoch  9, Batch    227, Loss  0.600541, Average Loss  0.601382, Time  0.240381
2021-09-15 06:34:08.570420 : Epoch  2, Batch    856, Loss  0.876312, Average Loss  0.872698, Time  0.265198
2021-09-15 06:34:09.248180 : Epoch 10, Batch    398, Loss  0.592061, Average Loss  0.599326, Time  0.232087
2021-09-15 06:34:09.281414 : Epoch  9, Batch    228, Loss  0.602425, Average Loss  0.601350, Time  0.238189
2021-09-15 06:34:10.780345 : Epoch 10, Batch    399, Loss  0.603532, Average Loss  0.599292, Time  0.231411
2021-09-15 06:34:10.811957 : Epoch  9, Batch    229, Loss  0.598695, Average Loss  0.601388, Time  0.241308
2021-09-15 06:34:11.593646 : Epoch  2, Batch    857, Loss  0.859522, Average Loss  0.872732, Time  0.264121
2021-09-15 06:34:12.318850 : Epoch 10, Batch    400, Loss  0.605294, Average Loss  0.599410, Time  0.232702
2021-09-15 06:34:12.351981 : Epoch  9, Batch    230, Loss  0.609373, Average Loss  0.601478, Time  0.239169
2021-09-15 06:34:13.858716 : Epoch 10, Batch    401, Loss  0.603053, Average Loss  0.599408, Time  0.231514
2021-09-15 06:34:13.892983 : Epoch  9, Batch    231, Loss  0.608946, Average Loss  0.601477, Time  0.239152
2021-09-15 06:34:14.624821 : Epoch  2, Batch    858, Loss  0.859222, Average Loss  0.872718, Time  0.266375
2021-09-15 06:34:15.395021 : Epoch 10, Batch    402, Loss  0.603005, Average Loss  0.599368, Time  0.231827
2021-09-15 06:34:15.427874 : Epoch  9, Batch    232, Loss  0.596499, Average Loss  0.601530, Time  0.241491
2021-09-15 06:34:16.924550 : Epoch 10, Batch    403, Loss  0.598063, Average Loss  0.599276, Time  0.231531
2021-09-15 06:34:16.956887 : Epoch  9, Batch    233, Loss  0.603885, Average Loss  0.601520, Time  0.239984
2021-09-15 06:34:17.668998 : Epoch  2, Batch    859, Loss  0.873641, Average Loss  0.872614, Time  0.265683
2021-09-15 06:34:18.457550 : Epoch 10, Batch    404, Loss  0.612977, Average Loss  0.599355, Time  0.231373
2021-09-15 06:34:18.486946 : Epoch  9, Batch    234, Loss  0.599640, Average Loss  0.601544, Time  0.238818
2021-09-15 06:34:19.990720 : Epoch 10, Batch    405, Loss  0.603025, Average Loss  0.599306, Time  0.231493
2021-09-15 06:34:20.021417 : Epoch  9, Batch    235, Loss  0.600280, Average Loss  0.601574, Time  0.240639
2021-09-15 06:34:20.680063 : Epoch  2, Batch    860, Loss  0.863009, Average Loss  0.872590, Time  0.264312
2021-09-15 06:34:21.520814 : Epoch  9, Batch    236, Loss  0.601922, Average Loss  0.601528, Time  0.238681
2021-09-15 06:34:21.552410 : Epoch 10, Batch    406, Loss  0.599891, Average Loss  0.599287, Time  0.231644
2021-09-15 06:34:23.059175 : Epoch  9, Batch    237, Loss  0.600296, Average Loss  0.601510, Time  0.241337
2021-09-15 06:34:23.095414 : Epoch 10, Batch    407, Loss  0.605188, Average Loss  0.599295, Time  0.232679
2021-09-15 06:34:23.710921 : Epoch  2, Batch    861, Loss  0.882542, Average Loss  0.872797, Time  0.264277
2021-09-15 06:34:24.599005 : Epoch  9, Batch    238, Loss  0.598253, Average Loss  0.601509, Time  0.241474
2021-09-15 06:34:24.633425 : Epoch 10, Batch    408, Loss  0.607028, Average Loss  0.599340, Time  0.232225
2021-09-15 06:34:26.124843 : Epoch  9, Batch    239, Loss  0.611819, Average Loss  0.601642, Time  0.239787
2021-09-15 06:34:26.164559 : Epoch 10, Batch    409, Loss  0.597791, Average Loss  0.599369, Time  0.232310
2021-09-15 06:34:26.767504 : Epoch  2, Batch    862, Loss  0.878100, Average Loss  0.872732, Time  0.266471
2021-09-15 06:34:27.668440 : Epoch  9, Batch    240, Loss  0.602631, Average Loss  0.601647, Time  0.264812
2021-09-15 06:34:27.708013 : Epoch 10, Batch    410, Loss  0.590268, Average Loss  0.599431, Time  0.231257
2021-09-15 06:34:29.263411 : Epoch 10, Batch    411, Loss  0.594911, Average Loss  0.599402, Time  0.231455
2021-09-15 06:34:29.359015 : Epoch  9, Batch    241, Loss  0.605737, Average Loss  0.601657, Time  0.258407
2021-09-15 06:34:29.816460 : Epoch  2, Batch    863, Loss  0.877216, Average Loss  0.872901, Time  0.265387
2021-09-15 06:34:30.813012 : Epoch 10, Batch    412, Loss  0.599667, Average Loss  0.599411, Time  0.231544
2021-09-15 06:34:31.034222 : Epoch  9, Batch    242, Loss  0.599980, Average Loss  0.601679, Time  0.259655
2021-09-15 06:34:32.370891 : Epoch 10, Batch    413, Loss  0.593474, Average Loss  0.599323, Time  0.231791
2021-09-15 06:34:32.556366 : Epoch  9, Batch    243, Loss  0.600898, Average Loss  0.601620, Time  0.239748
2021-09-15 06:34:32.885522 : Epoch  2, Batch    864, Loss  0.877109, Average Loss  0.872949, Time  0.266282
2021-09-15 06:34:33.917657 : Epoch 10, Batch    414, Loss  0.600840, Average Loss  0.599320, Time  0.231689
2021-09-15 06:34:34.075794 : Epoch  9, Batch    244, Loss  0.592530, Average Loss  0.601528, Time  0.238945
2021-09-15 06:34:35.462307 : Epoch 10, Batch    415, Loss  0.598701, Average Loss  0.599293, Time  0.231117
2021-09-15 06:34:35.764881 : Epoch  9, Batch    245, Loss  0.605470, Average Loss  0.601518, Time  0.259902
2021-09-15 06:34:35.902617 : Epoch  2, Batch    865, Loss  0.871309, Average Loss  0.872910, Time  0.264798
2021-09-15 06:34:37.004372 : Epoch 10, Batch    416, Loss  0.616632, Average Loss  0.599414, Time  0.231351
2021-09-15 06:34:37.441378 : Epoch  9, Batch    246, Loss  0.593430, Average Loss  0.601505, Time  0.259713
2021-09-15 06:34:38.550605 : Epoch 10, Batch    417, Loss  0.601647, Average Loss  0.599468, Time  0.231078
2021-09-15 06:34:38.928804 : Epoch  2, Batch    866, Loss  0.874271, Average Loss  0.872955, Time  0.265506
2021-09-15 06:34:39.109428 : Epoch  9, Batch    247, Loss  0.614141, Average Loss  0.601592, Time  0.259954
2021-09-15 06:34:40.792031 : Epoch  9, Batch    248, Loss  0.607054, Average Loss  0.601669, Time  0.262121
2021-09-15 06:34:41.978116 : Epoch  2, Batch    867, Loss  0.864618, Average Loss  0.872934, Time  0.279712
2021-09-15 06:34:42.489934 : Epoch  9, Batch    249, Loss  0.595315, Average Loss  0.601591, Time  0.261601
2021-09-15 06:34:44.168467 : Epoch  9, Batch    250, Loss  0.594437, Average Loss  0.601567, Time  0.257391
2021-09-15 06:34:45.030176 : Epoch  2, Batch    868, Loss  0.873377, Average Loss  0.872914, Time  0.265862
2021-09-15 06:34:45.846847 : Epoch  9, Batch    251, Loss  0.608352, Average Loss  0.601591, Time  0.257706
2021-09-15 06:34:47.386861 : Epoch  9, Batch    252, Loss  0.597170, Average Loss  0.601583, Time  0.239753
2021-09-15 06:34:48.039496 : Epoch  2, Batch    869, Loss  0.852103, Average Loss  0.872674, Time  0.264189
2021-09-15 06:34:48.910215 : Epoch  9, Batch    253, Loss  0.603499, Average Loss  0.601583, Time  0.238634
2021-09-15 06:34:50.426913 : Epoch  9, Batch    254, Loss  0.587561, Average Loss  0.601523, Time  0.239439
2021-09-15 06:34:51.078873 : Epoch  2, Batch    870, Loss  0.874172, Average Loss  0.872645, Time  0.265011
2021-09-15 06:34:51.949884 : Epoch  9, Batch    255, Loss  0.599254, Average Loss  0.601502, Time  0.237959
2021-09-15 06:34:53.479597 : Epoch  9, Batch    256, Loss  0.611173, Average Loss  0.601515, Time  0.242023
2021-09-15 06:34:54.093790 : Epoch  2, Batch    871, Loss  0.870313, Average Loss  0.872619, Time  0.264402
2021-09-15 06:34:55.010225 : Epoch  9, Batch    257, Loss  0.608373, Average Loss  0.601567, Time  0.240792
2021-09-15 06:34:56.526895 : Epoch  9, Batch    258, Loss  0.605791, Average Loss  0.601590, Time  0.238492
2021-09-15 06:34:57.105785 : Epoch  2, Batch    872, Loss  0.900815, Average Loss  0.872837, Time  0.264665
2021-09-15 06:34:58.039402 : Epoch  9, Batch    259, Loss  0.604552, Average Loss  0.601596, Time  0.238393
2021-09-15 06:34:59.563777 : Epoch  9, Batch    260, Loss  0.590371, Average Loss  0.601546, Time  0.240584
2021-09-15 06:35:00.123826 : Epoch  2, Batch    873, Loss  0.874050, Average Loss  0.872851, Time  0.264754
2021-09-15 06:35:01.093327 : Epoch  9, Batch    261, Loss  0.606100, Average Loss  0.601560, Time  0.238059
2021-09-15 06:35:02.621965 : Epoch  9, Batch    262, Loss  0.599047, Average Loss  0.601537, Time  0.239160
2021-09-15 06:35:03.153506 : Epoch  2, Batch    874, Loss  0.871196, Average Loss  0.872852, Time  0.265305
2021-09-15 06:35:04.141112 : Epoch  9, Batch    263, Loss  0.591756, Average Loss  0.601498, Time  0.238356
2021-09-15 06:35:05.826485 : Epoch  9, Batch    264, Loss  0.608493, Average Loss  0.601517, Time  0.265696
2021-09-15 06:35:06.179395 : Epoch  2, Batch    875, Loss  0.859429, Average Loss  0.872793, Time  0.265394
2021-09-15 06:35:07.499446 : Epoch  9, Batch    265, Loss  0.590493, Average Loss  0.601471, Time  0.257755
2021-09-15 06:35:09.041770 : Epoch  9, Batch    266, Loss  0.601302, Average Loss  0.601404, Time  0.237004
2021-09-15 06:35:09.197718 : Epoch  2, Batch    876, Loss  0.865630, Average Loss  0.872571, Time  0.265054
2021-09-15 06:35:10.623508 : Epoch  9, Batch    267, Loss  0.600433, Average Loss  0.601310, Time  0.241958
2021-09-15 06:35:12.147378 : Epoch  9, Batch    268, Loss  0.602266, Average Loss  0.601375, Time  0.240498
2021-09-15 06:35:12.229215 : Epoch  2, Batch    877, Loss  0.869188, Average Loss  0.872623, Time  0.265630
2021-09-15 06:35:13.667333 : Epoch  9, Batch    269, Loss  0.606500, Average Loss  0.601339, Time  0.240524
2021-09-15 06:35:15.199112 : Epoch  9, Batch    270, Loss  0.586183, Average Loss  0.601272, Time  0.242138
2021-09-15 06:35:15.279175 : Epoch  2, Batch    878, Loss  0.850264, Average Loss  0.872439, Time  0.265628
2021-09-15 06:35:16.739414 : Epoch  9, Batch    271, Loss  0.601617, Average Loss  0.601272, Time  0.241585
2021-09-15 06:35:18.260380 : Epoch  9, Batch    272, Loss  0.609186, Average Loss  0.601330, Time  0.238391
2021-09-15 06:35:18.308648 : Epoch  2, Batch    879, Loss  0.855864, Average Loss  0.872316, Time  0.264259
2021-09-15 06:35:19.775347 : Epoch  9, Batch    273, Loss  0.597756, Average Loss  0.601291, Time  0.238282
2021-09-15 06:35:21.283998 : Epoch  9, Batch    274, Loss  0.614836, Average Loss  0.601398, Time  0.237880
2021-09-15 06:35:21.361854 : Epoch  2, Batch    880, Loss  0.860525, Average Loss  0.872357, Time  0.265809
2021-09-15 06:35:24.395357 : Epoch  2, Batch    881, Loss  0.876837, Average Loss  0.872356, Time  0.265445
2021-09-15 06:35:25.419383 : Epoch  9, Batch    275, Loss  0.597317, Average Loss  0.601434, Time  0.266580
2021-09-15 06:35:26.932705 : Epoch  9, Batch    276, Loss  0.603142, Average Loss  0.601463, Time  0.243681
2021-09-15 06:35:27.429779 : Epoch  2, Batch    882, Loss  0.868717, Average Loss  0.872422, Time  0.278766
2021-09-15 06:35:28.441966 : Epoch  9, Batch    277, Loss  0.607484, Average Loss  0.601517, Time  0.237745
2021-09-15 06:35:29.971868 : Epoch  9, Batch    278, Loss  0.601287, Average Loss  0.601480, Time  0.241608
2021-09-15 06:35:30.463160 : Epoch  2, Batch    883, Loss  0.869879, Average Loss  0.872437, Time  0.266346
2021-09-15 06:35:31.521916 : Epoch  9, Batch    279, Loss  0.608303, Average Loss  0.601499, Time  0.240702
2021-09-15 06:35:33.040311 : Epoch  9, Batch    280, Loss  0.611161, Average Loss  0.601480, Time  0.240446
2021-09-15 06:35:33.490148 : Epoch  2, Batch    884, Loss  0.879814, Average Loss  0.872475, Time  0.264548
2021-09-15 06:35:34.572174 : Epoch  9, Batch    281, Loss  0.601851, Average Loss  0.601470, Time  0.238367
2021-09-15 06:35:36.142313 : Epoch  9, Batch    282, Loss  0.608698, Average Loss  0.601518, Time  0.257679
2021-09-15 06:35:36.500245 : Epoch  2, Batch    885, Loss  0.896538, Average Loss  0.872645, Time  0.266431
2021-09-15 06:35:36.780739 : CheckPoint: Validation Loss  0.00025555, Best Loss  0.00024263
2021-09-15 06:35:37.678851 : Epoch  9, Batch    283, Loss  0.598755, Average Loss  0.601485, Time  0.241586
2021-09-15 06:35:38.348547 : Epoch 10, Batch    418, Loss  0.596650, Average Loss  0.599416, Time  0.249408
2021-09-15 06:35:39.205350 : Epoch  9, Batch    284, Loss  0.593479, Average Loss  0.601421, Time  0.239108
2021-09-15 06:35:39.527694 : Epoch  2, Batch    886, Loss  0.861637, Average Loss  0.872570, Time  0.265641
2021-09-15 06:35:39.896948 : Epoch 10, Batch    419, Loss  0.601479, Average Loss  0.599391, Time  0.231272
2021-09-15 06:35:40.741788 : Epoch  9, Batch    285, Loss  0.608077, Average Loss  0.601434, Time  0.240567
2021-09-15 06:35:41.448837 : Epoch 10, Batch    420, Loss  0.614206, Average Loss  0.599455, Time  0.231389
2021-09-15 06:35:42.279776 : Epoch  9, Batch    286, Loss  0.599049, Average Loss  0.601424, Time  0.242358
2021-09-15 06:35:42.577404 : Epoch  2, Batch    887, Loss  0.860902, Average Loss  0.872456, Time  0.265681
2021-09-15 06:35:42.990365 : Epoch 10, Batch    421, Loss  0.597993, Average Loss  0.599467, Time  0.231462
2021-09-15 06:35:43.816920 : Epoch  9, Batch    287, Loss  0.597509, Average Loss  0.601442, Time  0.239654
2021-09-15 06:35:44.533941 : Epoch 10, Batch    422, Loss  0.602095, Average Loss  0.599453, Time  0.232063
2021-09-15 06:35:45.337021 : Epoch  9, Batch    288, Loss  0.604635, Average Loss  0.601498, Time  0.237650
2021-09-15 06:35:45.594674 : Epoch  2, Batch    888, Loss  0.869788, Average Loss  0.872465, Time  0.265696
2021-09-15 06:35:46.070968 : Epoch 10, Batch    423, Loss  0.600696, Average Loss  0.599456, Time  0.231719
2021-09-15 06:35:46.858807 : Epoch  9, Batch    289, Loss  0.589563, Average Loss  0.601523, Time  0.238749
2021-09-15 06:35:47.613075 : Epoch 10, Batch    424, Loss  0.605663, Average Loss  0.599444, Time  0.231139
2021-09-15 06:35:48.389433 : Epoch  9, Batch    290, Loss  0.618405, Average Loss  0.601597, Time  0.239417
2021-09-15 06:35:48.605146 : Epoch  2, Batch    889, Loss  0.858501, Average Loss  0.872480, Time  0.264986
2021-09-15 06:35:49.156432 : Epoch 10, Batch    425, Loss  0.589393, Average Loss  0.599444, Time  0.231143
2021-09-15 06:35:49.927129 : Epoch  9, Batch    291, Loss  0.597526, Average Loss  0.601516, Time  0.242009
2021-09-15 06:35:50.704922 : Epoch 10, Batch    426, Loss  0.601304, Average Loss  0.599460, Time  0.232672
2021-09-15 06:35:51.451386 : Epoch  9, Batch    292, Loss  0.598419, Average Loss  0.601518, Time  0.239993
2021-09-15 06:35:51.610252 : Epoch  2, Batch    890, Loss  0.848205, Average Loss  0.872375, Time  0.264726
2021-09-15 06:35:52.258802 : Epoch 10, Batch    427, Loss  0.603574, Average Loss  0.599523, Time  0.232121
2021-09-15 06:35:52.981035 : Epoch  9, Batch    293, Loss  0.604569, Average Loss  0.601562, Time  0.240065
2021-09-15 06:35:53.802648 : Epoch 10, Batch    428, Loss  0.601548, Average Loss  0.599544, Time  0.231347
2021-09-15 06:35:54.623411 : Epoch  2, Batch    891, Loss  0.866225, Average Loss  0.872359, Time  0.265052
2021-09-15 06:35:54.671005 : Epoch  9, Batch    294, Loss  0.602103, Average Loss  0.601644, Time  0.259420
2021-09-15 06:35:55.343368 : Epoch 10, Batch    429, Loss  0.612781, Average Loss  0.599617, Time  0.231890
2021-09-15 06:35:56.365891 : Epoch  9, Batch    295, Loss  0.609138, Average Loss  0.601644, Time  0.259198
2021-09-15 06:35:56.886165 : Epoch 10, Batch    430, Loss  0.597004, Average Loss  0.599566, Time  0.231941
2021-09-15 06:35:57.643727 : Epoch  2, Batch    892, Loss  0.869567, Average Loss  0.872368, Time  0.265362
2021-09-15 06:35:57.885425 : Epoch  9, Batch    296, Loss  0.596599, Average Loss  0.601646, Time  0.239152
2021-09-15 06:35:58.439196 : Epoch 10, Batch    431, Loss  0.605591, Average Loss  0.599499, Time  0.231641
2021-09-15 06:35:59.405793 : Epoch  9, Batch    297, Loss  0.604939, Average Loss  0.601657, Time  0.239704
2021-09-15 06:35:59.982973 : Epoch 10, Batch    432, Loss  0.604790, Average Loss  0.599573, Time  0.232282
2021-09-15 06:36:00.710058 : Epoch  2, Batch    893, Loss  0.866285, Average Loss  0.872317, Time  0.264925
2021-09-15 06:36:00.927391 : Epoch  9, Batch    298, Loss  0.611305, Average Loss  0.601718, Time  0.239307
2021-09-15 06:36:01.527055 : Epoch 10, Batch    433, Loss  0.611055, Average Loss  0.599602, Time  0.231642
2021-09-15 06:36:02.467481 : Epoch  9, Batch    299, Loss  0.606092, Average Loss  0.601791, Time  0.242896
2021-09-15 06:36:03.075145 : Epoch 10, Batch    434, Loss  0.604589, Average Loss  0.599618, Time  0.231240
2021-09-15 06:36:03.725247 : Epoch  2, Batch    894, Loss  0.874528, Average Loss  0.872253, Time  0.265516
2021-09-15 06:36:04.006807 : Epoch  9, Batch    300, Loss  0.603063, Average Loss  0.601783, Time  0.241229
2021-09-15 06:36:04.609737 : Epoch 10, Batch    435, Loss  0.601933, Average Loss  0.599649, Time  0.230146
2021-09-15 06:36:05.546072 : Epoch  9, Batch    301, Loss  0.605440, Average Loss  0.601839, Time  0.242141
2021-09-15 06:36:06.151575 : Epoch 10, Batch    436, Loss  0.591703, Average Loss  0.599584, Time  0.231009
2021-09-15 06:36:06.767265 : Epoch  2, Batch    895, Loss  0.880742, Average Loss  0.872286, Time  0.264499
2021-09-15 06:36:07.081157 : Epoch  9, Batch    302, Loss  0.610419, Average Loss  0.601910, Time  0.240725
2021-09-15 06:36:07.702346 : Epoch 10, Batch    437, Loss  0.599819, Average Loss  0.599619, Time  0.230963
2021-09-15 06:36:08.755250 : Epoch  9, Batch    303, Loss  0.606988, Average Loss  0.601952, Time  0.255957
2021-09-15 06:36:09.261393 : Epoch 10, Batch    438, Loss  0.612143, Average Loss  0.599702, Time  0.231243
2021-09-15 06:36:09.790053 : Epoch  2, Batch    896, Loss  0.884612, Average Loss  0.872334, Time  0.264621
2021-09-15 06:36:10.431190 : Epoch  9, Batch    304, Loss  0.606005, Average Loss  0.601940, Time  0.255387
2021-09-15 06:36:10.804384 : Epoch 10, Batch    439, Loss  0.583094, Average Loss  0.599672, Time  0.231530
2021-09-15 06:36:12.349050 : Epoch 10, Batch    440, Loss  0.606669, Average Loss  0.599691, Time  0.230890
2021-09-15 06:36:12.841042 : Epoch  2, Batch    897, Loss  0.883790, Average Loss  0.872415, Time  0.275182
2021-09-15 06:36:13.899798 : Epoch 10, Batch    441, Loss  0.595543, Average Loss  0.599683, Time  0.231501
2021-09-15 06:36:15.450610 : Epoch 10, Batch    442, Loss  0.590014, Average Loss  0.599654, Time  0.232177
2021-09-15 06:36:15.882762 : Epoch  2, Batch    898, Loss  0.873201, Average Loss  0.872310, Time  0.265444
2021-09-15 06:36:16.989339 : Epoch 10, Batch    443, Loss  0.598926, Average Loss  0.599644, Time  0.231195
2021-09-15 06:36:18.540616 : Epoch 10, Batch    444, Loss  0.600947, Average Loss  0.599595, Time  0.230852
2021-09-15 06:36:18.888477 : Epoch  2, Batch    899, Loss  0.854504, Average Loss  0.872157, Time  0.265555
2021-09-15 06:36:20.083400 : Epoch 10, Batch    445, Loss  0.590602, Average Loss  0.599565, Time  0.231361
2021-09-15 06:36:21.630626 : Epoch 10, Batch    446, Loss  0.604074, Average Loss  0.599565, Time  0.232557
2021-09-15 06:36:21.909407 : Epoch  2, Batch    900, Loss  0.869501, Average Loss  0.872132, Time  0.265122
2021-09-15 06:36:23.176556 : Epoch 10, Batch    447, Loss  0.594877, Average Loss  0.599542, Time  0.231834
2021-09-15 06:36:24.722801 : Epoch 10, Batch    448, Loss  0.603068, Average Loss  0.599611, Time  0.233708
2021-09-15 06:36:24.930113 : Epoch  2, Batch    901, Loss  0.880407, Average Loss  0.872227, Time  0.265433
2021-09-15 06:36:26.271379 : Epoch 10, Batch    449, Loss  0.595100, Average Loss  0.599629, Time  0.232166
2021-09-15 06:36:27.835535 : Epoch 10, Batch    450, Loss  0.596404, Average Loss  0.599621, Time  0.231648
2021-09-15 06:36:27.937022 : Epoch  2, Batch    902, Loss  0.891654, Average Loss  0.872265, Time  0.263933
2021-09-15 06:36:29.394069 : Epoch 10, Batch    451, Loss  0.604542, Average Loss  0.599549, Time  0.231202
2021-09-15 06:36:30.948785 : Epoch 10, Batch    452, Loss  0.600400, Average Loss  0.599588, Time  0.231967
2021-09-15 06:36:30.956700 : Epoch  2, Batch    903, Loss  0.863982, Average Loss  0.872134, Time  0.264478
2021-09-15 06:36:32.500302 : Epoch 10, Batch    453, Loss  0.612205, Average Loss  0.599647, Time  0.231705
2021-09-15 06:36:34.045655 : Epoch 10, Batch    454, Loss  0.594234, Average Loss  0.599600, Time  0.233382
2021-09-15 06:36:34.070259 : Epoch  2, Batch    904, Loss  0.900761, Average Loss  0.872225, Time  0.266550
2021-09-15 06:36:35.584287 : Epoch 10, Batch    455, Loss  0.594611, Average Loss  0.599541, Time  0.232324
2021-09-15 06:36:37.119936 : Epoch  2, Batch    905, Loss  0.875016, Average Loss  0.872264, Time  0.266022
2021-09-15 06:36:37.130036 : Epoch 10, Batch    456, Loss  0.604631, Average Loss  0.599592, Time  0.234881
2021-09-15 06:36:38.690750 : Epoch 10, Batch    457, Loss  0.602277, Average Loss  0.599587, Time  0.231103
2021-09-15 06:36:40.138846 : Epoch  2, Batch    906, Loss  0.881793, Average Loss  0.872284, Time  0.267042
2021-09-15 06:36:40.228305 : Epoch 10, Batch    458, Loss  0.594270, Average Loss  0.599569, Time  0.231486
2021-09-15 06:36:41.770018 : Epoch 10, Batch    459, Loss  0.602126, Average Loss  0.599551, Time  0.231700
2021-09-15 06:36:43.156858 : Epoch  2, Batch    907, Loss  0.874190, Average Loss  0.872272, Time  0.265241
2021-09-15 06:36:43.318202 : Epoch 10, Batch    460, Loss  0.605198, Average Loss  0.599509, Time  0.231269
2021-09-15 06:36:44.878818 : Epoch 10, Batch    461, Loss  0.604066, Average Loss  0.599543, Time  0.231796
2021-09-15 06:36:46.168741 : Epoch  2, Batch    908, Loss  0.886476, Average Loss  0.872307, Time  0.264857
2021-09-15 06:36:46.435464 : Epoch 10, Batch    462, Loss  0.612737, Average Loss  0.600277, Time  0.231198
2021-09-15 06:36:47.970886 : Epoch 10, Batch    463, Loss  0.609902, Average Loss  0.600273, Time  0.231627
2021-09-15 06:36:49.191893 : Epoch  2, Batch    909, Loss  0.893724, Average Loss  0.872383, Time  0.265653
2021-09-15 06:36:49.519952 : Epoch 10, Batch    464, Loss  0.612685, Average Loss  0.600315, Time  0.233289
2021-09-15 06:36:51.104371 : Epoch 10, Batch    465, Loss  0.599720, Average Loss  0.600342, Time  0.232326
2021-09-15 06:36:52.219548 : Epoch  2, Batch    910, Loss  0.870239, Average Loss  0.872481, Time  0.266725
2021-09-15 06:36:52.648042 : Epoch 10, Batch    466, Loss  0.604905, Average Loss  0.600344, Time  0.231169
2021-09-15 06:36:54.186852 : Epoch 10, Batch    467, Loss  0.594094, Average Loss  0.600310, Time  0.231616
2021-09-15 06:36:55.272159 : Epoch  2, Batch    911, Loss  0.878599, Average Loss  0.872439, Time  0.265502
2021-09-15 06:36:55.735755 : Epoch 10, Batch    468, Loss  0.612762, Average Loss  0.600389, Time  0.232146
2021-09-15 06:36:57.273612 : Epoch 10, Batch    469, Loss  0.606777, Average Loss  0.600386, Time  0.231441
2021-09-15 06:36:58.350425 : Epoch  2, Batch    912, Loss  0.877717, Average Loss  0.872369, Time  0.279735
2021-09-15 06:36:58.818077 : Epoch 10, Batch    470, Loss  0.599494, Average Loss  0.600467, Time  0.231164
2021-09-15 06:37:00.352242 : Epoch 10, Batch    471, Loss  0.592591, Average Loss  0.600432, Time  0.234331
2021-09-15 06:37:01.373081 : Epoch  2, Batch    913, Loss  0.872941, Average Loss  0.872294, Time  0.265648
2021-09-15 06:37:01.899389 : Epoch 10, Batch    472, Loss  0.603171, Average Loss  0.600484, Time  0.231056
2021-09-15 06:37:03.459365 : Epoch 10, Batch    473, Loss  0.604619, Average Loss  0.600499, Time  0.231914
2021-09-15 06:37:04.431378 : Epoch  2, Batch    914, Loss  0.877539, Average Loss  0.872339, Time  0.266187
2021-09-15 06:37:05.012824 : Epoch 10, Batch    474, Loss  0.614597, Average Loss  0.600556, Time  0.231399
2021-09-15 06:37:06.555739 : Epoch 10, Batch    475, Loss  0.601177, Average Loss  0.600564, Time  0.231297
2021-09-15 06:37:07.481965 : Epoch  2, Batch    915, Loss  0.863388, Average Loss  0.872406, Time  0.265013
2021-09-15 06:37:08.121702 : Epoch 10, Batch    476, Loss  0.597514, Average Loss  0.600565, Time  0.231078
2021-09-15 06:37:09.666085 : Epoch 10, Batch    477, Loss  0.585112, Average Loss  0.600482, Time  0.231280
2021-09-15 06:37:10.522005 : Epoch  2, Batch    916, Loss  0.869611, Average Loss  0.872387, Time  0.265727
2021-09-15 06:37:11.223589 : Epoch 10, Batch    478, Loss  0.608149, Average Loss  0.600577, Time  0.231090
2021-09-15 06:37:11.778998 : CheckPoint: Validation Loss  0.00025005, Best Loss  0.00024341
2021-09-15 06:37:12.781989 : Epoch 10, Batch    479, Loss  0.598446, Average Loss  0.600557, Time  0.231541
2021-09-15 06:37:13.314169 : Epoch  9, Batch    305, Loss  0.603119, Average Loss  0.601993, Time  0.239983
2021-09-15 06:37:13.543642 : Epoch  2, Batch    917, Loss  0.888312, Average Loss  0.872450, Time  0.264919
2021-09-15 06:37:14.342010 : Epoch 10, Batch    480, Loss  0.603343, Average Loss  0.600618, Time  0.231018
2021-09-15 06:37:15.010877 : Epoch  9, Batch    306, Loss  0.587976, Average Loss  0.601948, Time  0.258563
2021-09-15 06:37:15.889365 : Epoch 10, Batch    481, Loss  0.606588, Average Loss  0.600667, Time  0.231474
2021-09-15 06:37:16.557783 : Epoch  2, Batch    918, Loss  0.888966, Average Loss  0.872543, Time  0.264707
2021-09-15 06:37:16.675122 : Epoch  9, Batch    307, Loss  0.591329, Average Loss  0.601946, Time  0.241019
2021-09-15 06:37:17.440973 : Epoch 10, Batch    482, Loss  0.604199, Average Loss  0.600627, Time  0.232942
2021-09-15 06:37:18.212182 : Epoch  9, Batch    308, Loss  0.600323, Average Loss  0.601900, Time  0.245265
2021-09-15 06:37:18.989051 : Epoch 10, Batch    483, Loss  0.603610, Average Loss  0.600616, Time  0.231115
2021-09-15 06:37:19.624802 : Epoch  2, Batch    919, Loss  0.892048, Average Loss  0.872665, Time  0.264763
2021-09-15 06:37:19.747824 : Epoch  9, Batch    309, Loss  0.606152, Average Loss  0.601942, Time  0.242085
2021-09-15 06:37:20.530943 : Epoch 10, Batch    484, Loss  0.602988, Average Loss  0.600630, Time  0.231252
2021-09-15 06:37:21.286898 : Epoch  9, Batch    310, Loss  0.598594, Average Loss  0.601913, Time  0.242053
2021-09-15 06:37:22.076966 : Epoch 10, Batch    485, Loss  0.606877, Average Loss  0.600676, Time  0.232306
2021-09-15 06:37:22.678536 : Epoch  2, Batch    920, Loss  0.888656, Average Loss  0.872875, Time  0.264651
2021-09-15 06:37:22.809109 : Epoch  9, Batch    311, Loss  0.608921, Average Loss  0.601936, Time  0.239235
2021-09-15 06:37:23.616541 : Epoch 10, Batch    486, Loss  0.606375, Average Loss  0.600779, Time  0.231278
2021-09-15 06:37:24.335363 : Epoch  9, Batch    312, Loss  0.609824, Average Loss  0.601987, Time  0.241891
2021-09-15 06:37:25.163389 : Epoch 10, Batch    487, Loss  0.615524, Average Loss  0.600813, Time  0.231453
2021-09-15 06:37:25.691785 : Epoch  2, Batch    921, Loss  0.880190, Average Loss  0.872836, Time  0.264416
2021-09-15 06:37:25.869391 : Epoch  9, Batch    313, Loss  0.603269, Average Loss  0.601973, Time  0.241644
2021-09-15 06:37:27.387329 : Epoch  9, Batch    314, Loss  0.598496, Average Loss  0.601991, Time  0.240328
2021-09-15 06:37:28.749847 : Epoch  2, Batch    922, Loss  0.877768, Average Loss  0.872915, Time  0.265028
2021-09-15 06:37:28.912808 : Epoch  9, Batch    315, Loss  0.594986, Average Loss  0.601930, Time  0.239543
2021-09-15 06:37:29.119385 : Epoch 10, Batch    488, Loss  0.597225, Average Loss  0.600795, Time  0.268097
2021-09-15 06:37:30.425112 : Epoch  9, Batch    316, Loss  0.606007, Average Loss  0.601925, Time  0.239777
2021-09-15 06:37:30.669265 : Epoch 10, Batch    489, Loss  0.605680, Average Loss  0.600774, Time  0.247882
2021-09-15 06:37:31.798378 : Epoch  2, Batch    923, Loss  0.872014, Average Loss  0.872832, Time  0.265158
2021-09-15 06:37:32.126013 : Epoch  9, Batch    317, Loss  0.609839, Average Loss  0.601949, Time  0.259007
2021-09-15 06:37:32.202399 : Epoch 10, Batch    490, Loss  0.594475, Average Loss  0.600807, Time  0.231159
2021-09-15 06:37:33.672071 : Epoch  9, Batch    318, Loss  0.598368, Average Loss  0.601937, Time  0.243628
2021-09-15 06:37:33.749610 : Epoch 10, Batch    491, Loss  0.600587, Average Loss  0.600804, Time  0.231349
2021-09-15 06:37:34.865646 : Epoch  2, Batch    924, Loss  0.872055, Average Loss  0.872879, Time  0.264658
2021-09-15 06:37:35.206131 : Epoch  9, Batch    319, Loss  0.602056, Average Loss  0.601981, Time  0.239881
2021-09-15 06:37:35.296078 : Epoch 10, Batch    492, Loss  0.594871, Average Loss  0.600811, Time  0.235960
2021-09-15 06:37:36.732001 : Epoch  9, Batch    320, Loss  0.600084, Average Loss  0.601998, Time  0.241826
2021-09-15 06:37:36.824385 : Epoch 10, Batch    493, Loss  0.599181, Average Loss  0.600815, Time  0.231524
2021-09-15 06:37:37.929180 : Epoch  2, Batch    925, Loss  0.866781, Average Loss  0.872911, Time  0.266366
2021-09-15 06:37:38.269214 : Epoch  9, Batch    321, Loss  0.601395, Average Loss  0.601949, Time  0.239503
2021-09-15 06:37:38.364899 : Epoch 10, Batch    494, Loss  0.597044, Average Loss  0.600770, Time  0.231571
2021-09-15 06:37:39.784363 : Epoch  9, Batch    322, Loss  0.601069, Average Loss  0.601942, Time  0.237867
2021-09-15 06:37:39.896045 : Epoch 10, Batch    495, Loss  0.606447, Average Loss  0.600894, Time  0.232139
2021-09-15 06:37:40.953234 : Epoch  2, Batch    926, Loss  0.868350, Average Loss  0.872837, Time  0.264225
2021-09-15 06:37:41.331067 : Epoch  9, Batch    323, Loss  0.595273, Average Loss  0.601888, Time  0.239677
2021-09-15 06:37:41.436382 : Epoch 10, Batch    496, Loss  0.582922, Average Loss  0.600800, Time  0.231441
2021-09-15 06:37:42.973408 : Epoch 10, Batch    497, Loss  0.596797, Average Loss  0.600794, Time  0.232639
2021-09-15 06:37:43.013796 : Epoch  9, Batch    324, Loss  0.598883, Average Loss  0.601858, Time  0.257600
2021-09-15 06:37:43.993775 : Epoch  2, Batch    927, Loss  0.877720, Average Loss  0.872866, Time  0.279403
2021-09-15 06:37:44.513069 : Epoch 10, Batch    498, Loss  0.604804, Average Loss  0.600852, Time  0.232067
2021-09-15 06:37:44.697394 : Epoch  9, Batch    325, Loss  0.590803, Average Loss  0.601779, Time  0.260066
2021-09-15 06:37:46.050684 : Epoch 10, Batch    499, Loss  0.601925, Average Loss  0.600864, Time  0.231403
2021-09-15 06:37:46.365837 : Epoch  9, Batch    326, Loss  0.587533, Average Loss  0.601722, Time  0.259090
2021-09-15 06:37:47.037951 : Epoch  2, Batch    928, Loss  0.886549, Average Loss  0.872952, Time  0.266546
2021-09-15 06:37:47.590443 : Epoch 10, Batch    500, Loss  0.601824, Average Loss  0.600864, Time  0.231188
2021-09-15 06:37:48.041960 : Epoch  9, Batch    327, Loss  0.605377, Average Loss  0.601720, Time  0.258893
2021-09-15 06:37:49.139955 : Epoch 10, Batch    501, Loss  0.605114, Average Loss  0.600854, Time  0.231339
2021-09-15 06:37:49.581166 : Epoch  9, Batch    328, Loss  0.589314, Average Loss  0.601651, Time  0.239972
2021-09-15 06:37:50.074881 : Epoch  2, Batch    929, Loss  0.866257, Average Loss  0.872977, Time  0.265434
2021-09-15 06:37:50.685376 : Epoch 10, Batch    502, Loss  0.591897, Average Loss  0.600815, Time  0.231579
2021-09-15 06:37:51.101915 : Epoch  9, Batch    329, Loss  0.614252, Average Loss  0.601727, Time  0.238116
2021-09-15 06:37:52.232361 : Epoch 10, Batch    503, Loss  0.600388, Average Loss  0.600795, Time  0.231270
2021-09-15 06:37:52.618935 : Epoch  9, Batch    330, Loss  0.599643, Average Loss  0.601726, Time  0.238289
2021-09-15 06:37:53.111384 : Epoch  2, Batch    930, Loss  0.828338, Average Loss  0.872778, Time  0.265393
2021-09-15 06:37:53.789652 : Epoch 10, Batch    504, Loss  0.604035, Average Loss  0.600814, Time  0.231104
2021-09-15 06:37:54.142397 : Epoch  9, Batch    331, Loss  0.605091, Average Loss  0.601751, Time  0.238294
2021-09-15 06:37:55.366323 : Epoch 10, Batch    505, Loss  0.591715, Average Loss  0.600747, Time  0.231675
2021-09-15 06:37:55.659919 : Epoch  9, Batch    332, Loss  0.611197, Average Loss  0.601772, Time  0.240504
2021-09-15 06:37:56.145920 : Epoch  2, Batch    931, Loss  0.879723, Average Loss  0.872885, Time  0.264571
2021-09-15 06:37:56.909850 : Epoch 10, Batch    506, Loss  0.599247, Average Loss  0.600730, Time  0.231440
2021-09-15 06:37:57.176763 : Epoch  9, Batch    333, Loss  0.602243, Average Loss  0.601825, Time  0.240114
2021-09-15 06:37:58.452687 : Epoch 10, Batch    507, Loss  0.602661, Average Loss  0.600756, Time  0.231316
2021-09-15 06:37:58.710417 : Epoch  9, Batch    334, Loss  0.591300, Average Loss  0.601801, Time  0.241809
2021-09-15 06:37:59.178735 : Epoch  2, Batch    932, Loss  0.883288, Average Loss  0.872841, Time  0.265289
2021-09-15 06:38:00.009879 : Epoch 10, Batch    508, Loss  0.601091, Average Loss  0.600750, Time  0.231395
2021-09-15 06:38:00.227030 : Epoch  9, Batch    335, Loss  0.601234, Average Loss  0.601754, Time  0.238260
2021-09-15 06:38:01.552517 : Epoch 10, Batch    509, Loss  0.604278, Average Loss  0.600801, Time  0.231324
2021-09-15 06:38:01.738423 : Epoch  9, Batch    336, Loss  0.597917, Average Loss  0.601686, Time  0.238957
2021-09-15 06:38:02.190037 : Epoch  2, Batch    933, Loss  0.887425, Average Loss  0.873010, Time  0.264462
2021-09-15 06:38:03.089792 : Epoch 10, Batch    510, Loss  0.606221, Average Loss  0.600800, Time  0.231388
2021-09-15 06:38:03.261684 : Epoch  9, Batch    337, Loss  0.602406, Average Loss  0.601699, Time  0.241272
2021-09-15 06:38:04.636432 : Epoch 10, Batch    511, Loss  0.608710, Average Loss  0.600778, Time  0.231661
2021-09-15 06:38:04.775379 : Epoch  9, Batch    338, Loss  0.597907, Average Loss  0.601643, Time  0.239133
2021-09-15 06:38:05.212032 : Epoch  2, Batch    934, Loss  0.887217, Average Loss  0.873012, Time  0.265314
2021-09-15 06:38:06.185404 : Epoch 10, Batch    512, Loss  0.592667, Average Loss  0.600786, Time  0.231524
2021-09-15 06:38:06.303924 : Epoch  9, Batch    339, Loss  0.603789, Average Loss  0.601676, Time  0.239017
2021-09-15 06:38:07.728087 : Epoch 10, Batch    513, Loss  0.607595, Average Loss  0.600847, Time  0.232445
2021-09-15 06:38:07.845604 : Epoch  9, Batch    340, Loss  0.618568, Average Loss  0.601719, Time  0.238898
2021-09-15 06:38:08.225906 : Epoch  2, Batch    935, Loss  0.877119, Average Loss  0.873029, Time  0.264620
2021-09-15 06:38:09.272097 : Epoch 10, Batch    514, Loss  0.602502, Average Loss  0.600800, Time  0.231410
2021-09-15 06:38:09.369777 : Epoch  9, Batch    341, Loss  0.595023, Average Loss  0.601679, Time  0.238702
2021-09-15 06:38:10.806798 : Epoch 10, Batch    515, Loss  0.603773, Average Loss  0.600782, Time  0.232020
2021-09-15 06:38:10.883838 : Epoch  9, Batch    342, Loss  0.608987, Average Loss  0.601708, Time  0.239128
2021-09-15 06:38:11.248756 : Epoch  2, Batch    936, Loss  0.868281, Average Loss  0.873055, Time  0.265169
2021-09-15 06:38:12.361312 : Epoch 10, Batch    516, Loss  0.596059, Average Loss  0.600800, Time  0.231091
2021-09-15 06:38:12.427842 : Epoch  9, Batch    343, Loss  0.596863, Average Loss  0.601700, Time  0.240823
2021-09-15 06:38:13.908656 : Epoch 10, Batch    517, Loss  0.610098, Average Loss  0.600881, Time  0.231274
2021-09-15 06:38:13.952025 : Epoch  9, Batch    344, Loss  0.606008, Average Loss  0.601687, Time  0.238579
2021-09-15 06:38:14.289532 : Epoch  2, Batch    937, Loss  0.879043, Average Loss  0.873104, Time  0.264696
2021-09-15 06:38:15.485350 : Epoch  9, Batch    345, Loss  0.606711, Average Loss  0.601700, Time  0.239207
2021-09-15 06:38:17.038091 : Epoch  9, Batch    346, Loss  0.614277, Average Loss  0.601759, Time  0.239625
2021-09-15 06:38:17.314509 : Epoch  2, Batch    938, Loss  0.864519, Average Loss  0.873127, Time  0.263598
2021-09-15 06:38:18.571831 : Epoch  9, Batch    347, Loss  0.597869, Average Loss  0.601764, Time  0.241653
2021-09-15 06:38:20.097789 : Epoch  9, Batch    348, Loss  0.604343, Average Loss  0.601752, Time  0.241644
2021-09-15 06:38:20.321761 : Epoch  2, Batch    939, Loss  0.877840, Average Loss  0.873196, Time  0.264331
2021-09-15 06:38:21.628000 : Epoch  9, Batch    349, Loss  0.587691, Average Loss  0.601639, Time  0.241256
2021-09-15 06:38:23.144587 : Epoch  9, Batch    350, Loss  0.605549, Average Loss  0.601597, Time  0.238280
2021-09-15 06:38:23.329295 : Epoch  2, Batch    940, Loss  0.876994, Average Loss  0.873256, Time  0.265921
2021-09-15 06:38:24.663844 : Epoch  9, Batch    351, Loss  0.597004, Average Loss  0.601565, Time  0.239160
2021-09-15 06:38:26.219349 : Epoch  9, Batch    352, Loss  0.602560, Average Loss  0.601566, Time  0.240497
2021-09-15 06:38:26.338912 : Epoch  2, Batch    941, Loss  0.893514, Average Loss  0.873346, Time  0.264623
2021-09-15 06:38:27.902063 : Epoch  9, Batch    353, Loss  0.609334, Average Loss  0.601628, Time  0.257094
2021-09-15 06:38:29.355390 : Epoch  2, Batch    942, Loss  0.838413, Average Loss  0.873218, Time  0.274316
2021-09-15 06:38:29.428534 : Epoch  9, Batch    354, Loss  0.610716, Average Loss  0.601686, Time  0.238810
2021-09-15 06:38:31.115928 : Epoch  9, Batch    355, Loss  0.599862, Average Loss  0.601602, Time  0.257991
2021-09-15 06:38:32.398816 : Epoch  2, Batch    943, Loss  0.875575, Average Loss  0.873292, Time  0.265240
2021-09-15 06:38:32.791951 : Epoch  9, Batch    356, Loss  0.603221, Average Loss  0.601638, Time  0.257807
2021-09-15 06:38:34.465577 : Epoch  9, Batch    357, Loss  0.598833, Average Loss  0.601654, Time  0.258618
2021-09-15 06:38:35.438686 : Epoch  2, Batch    944, Loss  0.862081, Average Loss  0.873211, Time  0.265069
2021-09-15 06:38:36.167460 : Epoch  9, Batch    358, Loss  0.594342, Average Loss  0.601626, Time  0.260290
2021-09-15 06:38:37.854850 : Epoch  9, Batch    359, Loss  0.615892, Average Loss  0.601744, Time  0.259454
2021-09-15 06:38:39.534945 : Epoch  9, Batch    360, Loss  0.609573, Average Loss  0.601720, Time  0.261095
2021-09-15 06:38:41.232049 : Epoch  9, Batch    361, Loss  0.598039, Average Loss  0.601689, Time  0.259879
2021-09-15 06:38:42.777638 : Epoch  9, Batch    362, Loss  0.594066, Average Loss  0.601662, Time  0.241324
2021-09-15 06:38:44.301015 : Epoch  9, Batch    363, Loss  0.602444, Average Loss  0.601707, Time  0.238894
2021-09-15 06:38:45.818778 : Epoch  9, Batch    364, Loss  0.608062, Average Loss  0.601740, Time  0.238338
2021-09-15 06:38:47.353029 : Epoch  9, Batch    365, Loss  0.608048, Average Loss  0.601811, Time  0.238482
2021-09-15 06:38:49.047070 : Epoch  9, Batch    366, Loss  0.605030, Average Loss  0.601791, Time  0.258577
2021-09-15 06:38:50.583150 : Epoch  9, Batch    367, Loss  0.598571, Average Loss  0.601759, Time  0.238622
2021-09-15 06:38:52.105759 : Epoch  9, Batch    368, Loss  0.611674, Average Loss  0.601803, Time  0.238644
2021-09-15 06:38:53.641063 : Epoch  9, Batch    369, Loss  0.598288, Average Loss  0.601809, Time  0.239965
2021-09-15 06:38:55.175479 : Epoch  9, Batch    370, Loss  0.604578, Average Loss  0.601824, Time  0.240035
2021-09-15 06:38:56.696773 : Epoch  9, Batch    371, Loss  0.599710, Average Loss  0.601836, Time  0.240213
2021-09-15 06:38:58.234129 : Epoch  9, Batch    372, Loss  0.595905, Average Loss  0.601867, Time  0.238556
2021-09-15 06:38:59.929015 : Epoch  9, Batch    373, Loss  0.611559, Average Loss  0.601969, Time  0.258465
2021-09-15 06:39:01.480183 : Epoch  9, Batch    374, Loss  0.608877, Average Loss  0.601990, Time  0.242493
2021-09-15 06:39:05.431777 : Epoch  9, Batch    375, Loss  0.597505, Average Loss  0.601924, Time  0.271313
2021-09-15 06:39:06.966641 : Epoch  9, Batch    376, Loss  0.597010, Average Loss  0.601848, Time  0.237774
2021-09-15 06:39:08.527132 : Epoch  9, Batch    377, Loss  0.603758, Average Loss  0.601953, Time  0.239058
2021-09-15 06:39:10.209047 : Epoch  9, Batch    378, Loss  0.614810, Average Loss  0.602080, Time  0.259809
2021-09-15 06:39:11.903972 : Epoch  9, Batch    379, Loss  0.595439, Average Loss  0.602036, Time  0.256936
2021-09-15 06:39:11.990724 : CheckPoint: Validation Loss  0.00025851, Best Loss  0.00024263
2021-09-15 06:39:13.543231 : Epoch 10, Batch    518, Loss  0.604000, Average Loss  0.600960, Time  0.232410
2021-09-15 06:39:13.604448 : Epoch  9, Batch    380, Loss  0.601616, Average Loss  0.602064, Time  0.258885
2021-09-15 06:39:15.085324 : Epoch 10, Batch    519, Loss  0.605159, Average Loss  0.600922, Time  0.231753
2021-09-15 06:39:15.289858 : Epoch  9, Batch    381, Loss  0.600925, Average Loss  0.602093, Time  0.260476
2021-09-15 06:39:16.634638 : Epoch 10, Batch    520, Loss  0.598704, Average Loss  0.600922, Time  0.231225
2021-09-15 06:39:16.959401 : Epoch  9, Batch    382, Loss  0.601613, Average Loss  0.602076, Time  0.257281
2021-09-15 06:39:18.186336 : Epoch 10, Batch    521, Loss  0.606253, Average Loss  0.600984, Time  0.231457
2021-09-15 06:39:18.634909 : Epoch  9, Batch    383, Loss  0.601151, Average Loss  0.602114, Time  0.259608
2021-09-15 06:39:19.739055 : Epoch 10, Batch    522, Loss  0.591888, Average Loss  0.600917, Time  0.232023
2021-09-15 06:39:20.307924 : Epoch  9, Batch    384, Loss  0.605649, Average Loss  0.602095, Time  0.261007
2021-09-15 06:39:21.289152 : Epoch 10, Batch    523, Loss  0.601602, Average Loss  0.600902, Time  0.232012
2021-09-15 06:39:21.838685 : Epoch  9, Batch    385, Loss  0.605819, Average Loss  0.602153, Time  0.239493
2021-09-15 06:39:22.835920 : Epoch 10, Batch    524, Loss  0.600691, Average Loss  0.600985, Time  0.231428
2021-09-15 06:39:23.432471 : Epoch  9, Batch    386, Loss  0.615138, Average Loss  0.602227, Time  0.241095
2021-09-15 06:39:24.381030 : Epoch 10, Batch    525, Loss  0.594075, Average Loss  0.601031, Time  0.231094
2021-09-15 06:39:24.971766 : Epoch  9, Batch    387, Loss  0.618777, Average Loss  0.602306, Time  0.241066
2021-09-15 06:39:25.930970 : Epoch 10, Batch    526, Loss  0.596372, Average Loss  0.600992, Time  0.231475
2021-09-15 06:39:26.499356 : Epoch  9, Batch    388, Loss  0.591495, Average Loss  0.602269, Time  0.239131
2021-09-15 06:39:27.478374 : Epoch 10, Batch    527, Loss  0.595561, Average Loss  0.600991, Time  0.232344
2021-09-15 06:39:28.060926 : Epoch  9, Batch    389, Loss  0.601525, Average Loss  0.602274, Time  0.244390
2021-09-15 06:39:29.024077 : Epoch 10, Batch    528, Loss  0.607674, Average Loss  0.600980, Time  0.231968
2021-09-15 06:39:29.600028 : Epoch  9, Batch    390, Loss  0.592914, Average Loss  0.602207, Time  0.242603
2021-09-15 06:39:30.608907 : Epoch 10, Batch    529, Loss  0.594286, Average Loss  0.600969, Time  0.232236
2021-09-15 06:39:31.136863 : Epoch  9, Batch    391, Loss  0.607886, Average Loss  0.602237, Time  0.241980
2021-09-15 06:39:32.178944 : Epoch 10, Batch    530, Loss  0.602767, Average Loss  0.601033, Time  0.231754
2021-09-15 06:39:32.673171 : Epoch  9, Batch    392, Loss  0.600857, Average Loss  0.602257, Time  0.239776
2021-09-15 06:39:33.726999 : Epoch 10, Batch    531, Loss  0.600938, Average Loss  0.601063, Time  0.231187
2021-09-15 06:39:34.196092 : Epoch  9, Batch    393, Loss  0.599760, Average Loss  0.602284, Time  0.240988
2021-09-15 06:39:35.275854 : Epoch 10, Batch    532, Loss  0.609141, Average Loss  0.601067, Time  0.231221
2021-09-15 06:39:35.712975 : Epoch  9, Batch    394, Loss  0.611549, Average Loss  0.602305, Time  0.239801
2021-09-15 06:39:36.827470 : Epoch 10, Batch    533, Loss  0.609578, Average Loss  0.601102, Time  0.231131
2021-09-15 06:39:37.230383 : Epoch  9, Batch    395, Loss  0.605410, Average Loss  0.602282, Time  0.237390
2021-09-15 06:39:38.382141 : Epoch 10, Batch    534, Loss  0.599081, Average Loss  0.601100, Time  0.231867
2021-09-15 06:39:38.772392 : Epoch  9, Batch    396, Loss  0.605197, Average Loss  0.602271, Time  0.241569
2021-09-15 06:39:39.937008 : Epoch 10, Batch    535, Loss  0.593684, Average Loss  0.601026, Time  0.231583
2021-09-15 06:39:40.293814 : Epoch  9, Batch    397, Loss  0.602766, Average Loss  0.602276, Time  0.238621
2021-09-15 06:39:41.491941 : Epoch 10, Batch    536, Loss  0.594405, Average Loss  0.600934, Time  0.231160
2021-09-15 06:39:41.819379 : Epoch  9, Batch    398, Loss  0.598531, Average Loss  0.602250, Time  0.240176
2021-09-15 06:39:43.044561 : Epoch 10, Batch    537, Loss  0.607682, Average Loss  0.600921, Time  0.231403
2021-09-15 06:39:43.334547 : Epoch  9, Batch    399, Loss  0.593126, Average Loss  0.602216, Time  0.238254
2021-09-15 06:39:44.599904 : Epoch 10, Batch    538, Loss  0.595287, Average Loss  0.600944, Time  0.231428
2021-09-15 06:39:44.878149 : Epoch  9, Batch    400, Loss  0.605152, Average Loss  0.602238, Time  0.239589
2021-09-15 06:39:46.158095 : Epoch 10, Batch    539, Loss  0.598148, Average Loss  0.600970, Time  0.231810
2021-09-15 06:39:46.393852 : Epoch  9, Batch    401, Loss  0.589447, Average Loss  0.602165, Time  0.238122
2021-09-15 06:39:47.711403 : Epoch 10, Batch    540, Loss  0.612666, Average Loss  0.601015, Time  0.231736
2021-09-15 06:39:47.909693 : Epoch  9, Batch    402, Loss  0.611987, Average Loss  0.602235, Time  0.238954
2021-09-15 06:39:49.261330 : Epoch 10, Batch    541, Loss  0.599849, Average Loss  0.600980, Time  0.231797
2021-09-15 06:39:49.432919 : Epoch  9, Batch    403, Loss  0.598549, Average Loss  0.602242, Time  0.238432
2021-09-15 06:39:50.804581 : Epoch 10, Batch    542, Loss  0.591272, Average Loss  0.600905, Time  0.231431
2021-09-15 06:39:50.952216 : Epoch  9, Batch    404, Loss  0.595149, Average Loss  0.602184, Time  0.242194
2021-09-15 06:39:52.354016 : Epoch 10, Batch    543, Loss  0.600217, Average Loss  0.600990, Time  0.231699
2021-09-15 06:39:53.905856 : Epoch 10, Batch    544, Loss  0.596894, Average Loss  0.601001, Time  0.233144
2021-09-15 06:39:55.461863 : Epoch 10, Batch    545, Loss  0.602558, Average Loss  0.600987, Time  0.234226
2021-09-15 06:39:57.006595 : Epoch 10, Batch    546, Loss  0.604422, Average Loss  0.601018, Time  0.231872
2021-09-15 06:39:58.552575 : Epoch 10, Batch    547, Loss  0.602065, Average Loss  0.601065, Time  0.233180
2021-09-15 06:40:00.097944 : Epoch 10, Batch    548, Loss  0.610887, Average Loss  0.601080, Time  0.231635
2021-09-15 06:40:01.649484 : Epoch 10, Batch    549, Loss  0.599415, Average Loss  0.601078, Time  0.231003
2021-09-15 06:40:03.198010 : Epoch 10, Batch    550, Loss  0.596107, Average Loss  0.601102, Time  0.231449
2021-09-15 06:40:04.754492 : Epoch 10, Batch    551, Loss  0.610784, Average Loss  0.601103, Time  0.232579
2021-09-15 06:40:06.303565 : Epoch 10, Batch    552, Loss  0.597038, Average Loss  0.601155, Time  0.231237
2021-09-15 06:40:07.845185 : Epoch 10, Batch    553, Loss  0.594404, Average Loss  0.601063, Time  0.231386
2021-09-15 06:40:09.393574 : Epoch 10, Batch    554, Loss  0.611805, Average Loss  0.601129, Time  0.231857
2021-09-15 06:40:10.945376 : Epoch 10, Batch    555, Loss  0.602293, Average Loss  0.601128, Time  0.231406
2021-09-15 06:40:12.495685 : Epoch 10, Batch    556, Loss  0.593752, Average Loss  0.601106, Time  0.231370
2021-09-15 06:40:14.041187 : Epoch 10, Batch    557, Loss  0.597722, Average Loss  0.601092, Time  0.231339
2021-09-15 06:40:15.584358 : Epoch 10, Batch    558, Loss  0.597150, Average Loss  0.601108, Time  0.231695
2021-09-15 06:40:17.129035 : Epoch 10, Batch    559, Loss  0.607886, Average Loss  0.601121, Time  0.232015
2021-09-15 06:40:18.675969 : Epoch 10, Batch    560, Loss  0.607666, Average Loss  0.601169, Time  0.231971
2021-09-15 06:40:20.221986 : Epoch 10, Batch    561, Loss  0.602103, Average Loss  0.601231, Time  0.231520
2021-09-15 06:40:21.770068 : Epoch 10, Batch    562, Loss  0.598272, Average Loss  0.601225, Time  0.231342
2021-09-15 06:40:23.318375 : Epoch 10, Batch    563, Loss  0.610115, Average Loss  0.601225, Time  0.231213
2021-09-15 06:40:24.862826 : Epoch 10, Batch    564, Loss  0.607656, Average Loss  0.601328, Time  0.231450
2021-09-15 06:40:26.406389 : Epoch 10, Batch    565, Loss  0.598998, Average Loss  0.601301, Time  0.231549
2021-09-15 06:40:27.958162 : Epoch 10, Batch    566, Loss  0.582871, Average Loss  0.601235, Time  0.232181
2021-09-15 06:40:29.505379 : Epoch 10, Batch    567, Loss  0.610681, Average Loss  0.601290, Time  0.231589
2021-09-15 06:40:31.063374 : Epoch 10, Batch    568, Loss  0.605386, Average Loss  0.601261, Time  0.231511
2021-09-15 06:40:32.624540 : Epoch 10, Batch    569, Loss  0.601118, Average Loss  0.601297, Time  0.231603
2021-09-15 06:40:34.174311 : Epoch 10, Batch    570, Loss  0.598025, Average Loss  0.601310, Time  0.233452
2021-09-15 06:40:35.719051 : Epoch 10, Batch    571, Loss  0.606417, Average Loss  0.601310, Time  0.231609
2021-09-15 06:40:37.268570 : Epoch 10, Batch    572, Loss  0.604261, Average Loss  0.601295, Time  0.231296
2021-09-15 06:40:38.818384 : Epoch 10, Batch    573, Loss  0.593186, Average Loss  0.601288, Time  0.231279
2021-09-15 06:40:40.357002 : Epoch 10, Batch    574, Loss  0.593346, Average Loss  0.601181, Time  0.231493
2021-09-15 06:40:41.899573 : Epoch 10, Batch    575, Loss  0.592681, Average Loss  0.601205, Time  0.231231
2021-09-15 06:40:43.444109 : Epoch 10, Batch    576, Loss  0.605653, Average Loss  0.601196, Time  0.232717
2021-09-15 06:40:44.993342 : Epoch 10, Batch    577, Loss  0.604976, Average Loss  0.601223, Time  0.231504
2021-09-15 06:40:46.543857 : Epoch 10, Batch    578, Loss  0.595780, Average Loss  0.601200, Time  0.233692
2021-09-15 06:40:47.883722 : CheckPoint: Validation Loss  0.00025627, Best Loss  0.00024341
2021-09-15 06:40:48.088031 : Epoch 10, Batch    579, Loss  0.613844, Average Loss  0.601347, Time  0.230603
2021-09-15 06:40:49.417077 : Epoch  9, Batch    405, Loss  0.596030, Average Loss  0.602180, Time  0.241258
2021-09-15 06:40:49.628471 : Epoch 10, Batch    580, Loss  0.601367, Average Loss  0.601357, Time  0.230884
2021-09-15 06:40:50.934047 : Epoch  9, Batch    406, Loss  0.604214, Average Loss  0.602167, Time  0.239247
2021-09-15 06:40:51.164003 : Epoch 10, Batch    581, Loss  0.597815, Average Loss  0.601362, Time  0.231394
2021-09-15 06:40:52.458752 : Epoch  9, Batch    407, Loss  0.601253, Average Loss  0.602119, Time  0.240089
2021-09-15 06:40:52.702151 : Epoch 10, Batch    582, Loss  0.596445, Average Loss  0.601280, Time  0.231782
2021-09-15 06:40:53.984798 : Epoch  9, Batch    408, Loss  0.607148, Average Loss  0.602154, Time  0.241967
2021-09-15 06:40:54.240211 : Epoch 10, Batch    583, Loss  0.595626, Average Loss  0.601239, Time  0.232507
2021-09-15 06:40:55.518827 : Epoch  9, Batch    409, Loss  0.601036, Average Loss  0.602126, Time  0.240017
2021-09-15 06:40:55.802289 : Epoch 10, Batch    584, Loss  0.610378, Average Loss  0.601301, Time  0.230584
2021-09-15 06:40:57.057374 : Epoch  9, Batch    410, Loss  0.597455, Average Loss  0.602112, Time  0.240766
2021-09-15 06:40:57.352237 : Epoch 10, Batch    585, Loss  0.602981, Average Loss  0.601306, Time  0.250418
2021-09-15 06:40:58.600113 : Epoch  9, Batch    411, Loss  0.604100, Average Loss  0.602103, Time  0.241696
2021-09-15 06:40:58.886460 : Epoch 10, Batch    586, Loss  0.601879, Average Loss  0.601314, Time  0.229990
2021-09-15 06:41:00.129355 : Epoch  9, Batch    412, Loss  0.616982, Average Loss  0.602242, Time  0.240621
2021-09-15 06:41:00.439407 : Epoch 10, Batch    587, Loss  0.597551, Average Loss  0.601290, Time  0.231688
2021-09-15 06:41:01.659859 : Epoch  9, Batch    413, Loss  0.612329, Average Loss  0.602311, Time  0.241019
2021-09-15 06:41:03.183325 : Epoch  9, Batch    414, Loss  0.597300, Average Loss  0.602265, Time  0.239956
2021-09-15 06:41:04.364435 : Epoch 10, Batch    588, Loss  0.596600, Average Loss  0.601250, Time  0.257788
2021-09-15 06:41:04.729830 : Epoch  9, Batch    415, Loss  0.604405, Average Loss  0.602240, Time  0.243783
2021-09-15 06:41:05.913058 : Epoch 10, Batch    589, Loss  0.604118, Average Loss  0.601249, Time  0.234664
2021-09-15 06:41:06.258891 : Epoch  9, Batch    416, Loss  0.605418, Average Loss  0.602292, Time  0.240720
2021-09-15 06:41:07.453296 : Epoch 10, Batch    590, Loss  0.606319, Average Loss  0.601343, Time  0.231784
2021-09-15 06:41:07.783003 : Epoch  9, Batch    417, Loss  0.601218, Average Loss  0.602251, Time  0.240456
2021-09-15 06:41:08.986311 : Epoch 10, Batch    591, Loss  0.598175, Average Loss  0.601316, Time  0.231112
2021-09-15 06:41:09.300365 : Epoch  9, Batch    418, Loss  0.605885, Average Loss  0.602243, Time  0.239222
2021-09-15 06:41:10.513813 : Epoch 10, Batch    592, Loss  0.601877, Average Loss  0.601378, Time  0.230542
2021-09-15 06:41:10.833832 : Epoch  9, Batch    419, Loss  0.602401, Average Loss  0.602290, Time  0.243058
2021-09-15 06:41:12.041239 : Epoch 10, Batch    593, Loss  0.603599, Average Loss  0.601383, Time  0.230368
2021-09-15 06:41:12.368194 : Epoch  9, Batch    420, Loss  0.595892, Average Loss  0.602243, Time  0.242584
2021-09-15 06:41:13.574069 : Epoch 10, Batch    594, Loss  0.594996, Average Loss  0.601366, Time  0.230036
2021-09-15 06:41:13.897012 : Epoch  9, Batch    421, Loss  0.614333, Average Loss  0.602313, Time  0.241513
2021-09-15 06:41:15.109373 : Epoch 10, Batch    595, Loss  0.619370, Average Loss  0.601489, Time  0.230209
2021-09-15 06:41:15.417924 : Epoch  9, Batch    422, Loss  0.602703, Average Loss  0.602386, Time  0.238444
2021-09-15 06:41:16.642922 : Epoch 10, Batch    596, Loss  0.601816, Average Loss  0.601412, Time  0.232269
2021-09-15 06:41:16.941409 : Epoch  9, Batch    423, Loss  0.597148, Average Loss  0.602412, Time  0.238717
2021-09-15 06:41:18.199538 : Epoch 10, Batch    597, Loss  0.608199, Average Loss  0.601445, Time  0.231120
2021-09-15 06:41:18.466823 : Epoch  9, Batch    424, Loss  0.604275, Average Loss  0.602388, Time  0.239019
2021-09-15 06:41:19.732410 : Epoch 10, Batch    598, Loss  0.609984, Average Loss  0.601535, Time  0.230783
2021-09-15 06:41:19.993837 : Epoch  9, Batch    425, Loss  0.594729, Average Loss  0.602289, Time  0.239303
2021-09-15 06:41:21.258684 : Epoch 10, Batch    599, Loss  0.603257, Average Loss  0.601533, Time  0.231278
2021-09-15 06:41:21.529539 : Epoch  9, Batch    426, Loss  0.605589, Average Loss  0.602370, Time  0.238905
2021-09-15 06:41:22.788311 : Epoch 10, Batch    600, Loss  0.597216, Average Loss  0.601493, Time  0.231192
2021-09-15 06:41:23.055818 : Epoch  9, Batch    427, Loss  0.592863, Average Loss  0.602332, Time  0.245287
2021-09-15 06:41:24.345037 : Epoch 10, Batch    601, Loss  0.602718, Average Loss  0.601491, Time  0.230983
2021-09-15 06:41:24.582009 : Epoch  9, Batch    428, Loss  0.594062, Average Loss  0.602290, Time  0.238217
2021-09-15 06:41:25.879316 : Epoch 10, Batch    602, Loss  0.596525, Average Loss  0.601459, Time  0.230528
2021-09-15 06:41:26.120451 : Epoch  9, Batch    429, Loss  0.604053, Average Loss  0.602316, Time  0.239881
2021-09-15 06:41:27.429275 : Epoch 10, Batch    603, Loss  0.606094, Average Loss  0.601499, Time  0.231761
2021-09-15 06:41:27.663502 : Epoch  9, Batch    430, Loss  0.602720, Average Loss  0.602283, Time  0.239997
2021-09-15 06:41:28.965208 : Epoch 10, Batch    604, Loss  0.593740, Average Loss  0.601403, Time  0.231764
2021-09-15 06:41:29.197793 : Epoch  9, Batch    431, Loss  0.587072, Average Loss  0.602174, Time  0.239067
2021-09-15 06:41:30.506100 : Epoch 10, Batch    605, Loss  0.600822, Average Loss  0.601392, Time  0.230893
2021-09-15 06:41:30.734924 : Epoch  9, Batch    432, Loss  0.595525, Average Loss  0.602169, Time  0.242741
2021-09-15 06:41:32.060323 : Epoch 10, Batch    606, Loss  0.609623, Average Loss  0.601441, Time  0.231251
2021-09-15 06:41:32.262925 : Epoch  9, Batch    433, Loss  0.606829, Average Loss  0.602184, Time  0.238213
2021-09-15 06:41:33.610398 : Epoch 10, Batch    607, Loss  0.596044, Average Loss  0.601395, Time  0.233850
2021-09-15 06:41:33.783976 : Epoch  9, Batch    434, Loss  0.603111, Average Loss  0.602201, Time  0.238617
2021-09-15 06:41:35.149713 : Epoch 10, Batch    608, Loss  0.604992, Average Loss  0.601385, Time  0.230706
2021-09-15 06:41:35.319974 : Epoch  9, Batch    435, Loss  0.595987, Average Loss  0.602180, Time  0.238891
2021-09-15 06:41:36.692543 : Epoch 10, Batch    609, Loss  0.597362, Average Loss  0.601383, Time  0.231615
2021-09-15 06:41:36.848988 : Epoch  9, Batch    436, Loss  0.605622, Average Loss  0.602198, Time  0.239189
2021-09-15 06:41:38.259853 : Epoch 10, Batch    610, Loss  0.604755, Average Loss  0.601455, Time  0.250118
2021-09-15 06:41:38.379723 : Epoch  9, Batch    437, Loss  0.596144, Average Loss  0.602177, Time  0.243855
2021-09-15 06:41:39.807546 : Epoch 10, Batch    611, Loss  0.600813, Average Loss  0.601484, Time  0.231690
2021-09-15 06:41:39.898789 : Epoch  9, Batch    438, Loss  0.609799, Average Loss  0.602235, Time  0.239350
2021-09-15 06:41:41.346964 : Epoch 10, Batch    612, Loss  0.597845, Average Loss  0.601475, Time  0.231518
2021-09-15 06:41:41.420403 : Epoch  9, Batch    439, Loss  0.587221, Average Loss  0.602112, Time  0.239618
2021-09-15 06:41:42.914295 : Epoch 10, Batch    613, Loss  0.591439, Average Loss  0.601465, Time  0.231561
2021-09-15 06:41:42.948066 : Epoch  9, Batch    440, Loss  0.598762, Average Loss  0.602093, Time  0.241375
2021-09-15 06:41:44.459411 : Epoch 10, Batch    614, Loss  0.605658, Average Loss  0.601489, Time  0.231237
2021-09-15 06:41:44.506254 : Epoch  9, Batch    441, Loss  0.601524, Average Loss  0.602072, Time  0.239203
2021-09-15 06:41:46.007002 : Epoch 10, Batch    615, Loss  0.596454, Average Loss  0.601478, Time  0.231431
2021-09-15 06:41:46.045453 : Epoch  9, Batch    442, Loss  0.591809, Average Loss  0.602031, Time  0.240010
2021-09-15 06:41:47.555243 : Epoch 10, Batch    616, Loss  0.606952, Average Loss  0.601430, Time  0.232028
2021-09-15 06:41:47.595841 : Epoch  9, Batch    443, Loss  0.600521, Average Loss  0.602029, Time  0.239398
2021-09-15 06:41:49.105042 : Epoch 10, Batch    617, Loss  0.602818, Average Loss  0.601435, Time  0.231273
2021-09-15 06:41:49.145417 : Epoch  9, Batch    444, Loss  0.601678, Average Loss  0.602075, Time  0.239303
2021-09-15 06:41:50.693177 : Epoch  9, Batch    445, Loss  0.606513, Average Loss  0.602080, Time  0.240868
2021-09-15 06:41:52.228835 : Epoch  9, Batch    446, Loss  0.597914, Average Loss  0.602102, Time  0.239088
2021-09-15 06:41:53.756009 : Epoch  9, Batch    447, Loss  0.595691, Average Loss  0.602010, Time  0.239160
2021-09-15 06:41:55.300924 : Epoch  9, Batch    448, Loss  0.607811, Average Loss  0.602014, Time  0.242483
2021-09-15 06:41:56.828819 : Epoch  9, Batch    449, Loss  0.612311, Average Loss  0.602099, Time  0.240791
2021-09-15 06:41:58.350897 : Epoch  9, Batch    450, Loss  0.609244, Average Loss  0.602173, Time  0.240791
2021-09-15 06:41:59.881771 : Epoch  9, Batch    451, Loss  0.600124, Average Loss  0.602132, Time  0.242748
2021-09-15 06:42:01.413005 : Epoch  9, Batch    452, Loss  0.592360, Average Loss  0.602108, Time  0.241176
2021-09-15 06:42:02.941036 : Epoch  9, Batch    453, Loss  0.602419, Average Loss  0.602102, Time  0.240028
2021-09-15 06:42:04.481845 : Epoch  9, Batch    454, Loss  0.598313, Average Loss  0.602156, Time  0.242280
2021-09-15 06:42:06.012795 : Epoch  9, Batch    455, Loss  0.588736, Average Loss  0.602103, Time  0.239479
2021-09-15 06:42:07.535337 : Epoch  9, Batch    456, Loss  0.595774, Average Loss  0.602026, Time  0.239720
2021-09-15 06:42:09.059378 : Epoch  9, Batch    457, Loss  0.597895, Average Loss  0.601974, Time  0.240412
2021-09-15 06:42:10.587774 : Epoch  9, Batch    458, Loss  0.596752, Average Loss  0.601929, Time  0.241886
2021-09-15 06:42:12.116082 : Epoch  9, Batch    459, Loss  0.616784, Average Loss  0.601990, Time  0.237994
2021-09-15 06:42:13.667875 : Epoch  9, Batch    460, Loss  0.602675, Average Loss  0.602052, Time  0.241722
2021-09-15 06:42:15.200863 : Epoch  9, Batch    461, Loss  0.602070, Average Loss  0.602031, Time  0.239771
2021-09-15 06:42:16.762092 : Epoch  9, Batch    462, Loss  0.600540, Average Loss  0.602039, Time  0.240657
2021-09-15 06:42:18.285058 : Epoch  9, Batch    463, Loss  0.602325, Average Loss  0.602092, Time  0.238995
2021-09-15 06:42:19.807385 : Epoch  9, Batch    464, Loss  0.603212, Average Loss  0.602065, Time  0.237850
2021-09-15 06:42:21.338360 : Epoch  9, Batch    465, Loss  0.605345, Average Loss  0.602140, Time  0.240060
2021-09-15 06:42:22.883217 : Epoch  9, Batch    466, Loss  0.606440, Average Loss  0.602165, Time  0.241638
2021-09-15 06:42:24.412787 : Epoch  9, Batch    467, Loss  0.595714, Average Loss  0.602142, Time  0.240934
2021-09-15 06:42:25.933879 : Epoch  9, Batch    468, Loss  0.603083, Average Loss  0.602146, Time  0.240874
2021-09-15 06:42:27.616012 : Epoch  9, Batch    469, Loss  0.597995, Average Loss  0.602103, Time  0.257580
2021-09-15 06:42:29.294900 : Epoch  9, Batch    470, Loss  0.609493, Average Loss  0.602220, Time  0.257055
2021-09-15 06:42:30.976810 : Epoch  9, Batch    471, Loss  0.600796, Average Loss  0.602216, Time  0.257493
2021-09-15 06:42:32.680054 : Epoch  9, Batch    472, Loss  0.592386, Average Loss  0.602132, Time  0.260333
2021-09-15 06:42:34.212014 : Epoch  9, Batch    473, Loss  0.610342, Average Loss  0.602195, Time  0.239178
2021-09-15 06:42:35.734363 : Epoch  9, Batch    474, Loss  0.600311, Average Loss  0.602122, Time  0.238526
2021-09-15 06:42:39.929536 : Epoch  9, Batch    475, Loss  0.596342, Average Loss  0.602117, Time  0.266572
2021-09-15 06:42:41.457509 : Epoch  9, Batch    476, Loss  0.602297, Average Loss  0.602113, Time  0.244327
2021-09-15 06:42:42.983761 : Epoch  9, Batch    477, Loss  0.607730, Average Loss  0.602114, Time  0.241344
2021-09-15 06:42:44.517470 : Epoch  9, Batch    478, Loss  0.603859, Average Loss  0.602127, Time  0.238730
2021-09-15 06:42:46.070133 : Epoch  9, Batch    479, Loss  0.603948, Average Loss  0.602105, Time  0.240131
2021-09-15 06:42:47.283500 : CheckPoint: Validation Loss  0.00025005, Best Loss  0.00024263
2021-09-15 06:42:47.593034 : Epoch  9, Batch    480, Loss  0.597806, Average Loss  0.602038, Time  0.240976
2021-09-15 06:42:48.834114 : Epoch 10, Batch    618, Loss  0.604339, Average Loss  0.601474, Time  0.232032
2021-09-15 06:42:49.109383 : Epoch  9, Batch    481, Loss  0.605667, Average Loss  0.602057, Time  0.238410
2021-09-15 06:42:50.379028 : Epoch 10, Batch    619, Loss  0.606004, Average Loss  0.601497, Time  0.231875
2021-09-15 06:42:50.642830 : Epoch  9, Batch    482, Loss  0.603855, Average Loss  0.602033, Time  0.238696
2021-09-15 06:42:51.942362 : Epoch 10, Batch    620, Loss  0.590436, Average Loss  0.601378, Time  0.231232
2021-09-15 06:42:52.220134 : Epoch  9, Batch    483, Loss  0.585946, Average Loss  0.601969, Time  0.239634
2021-09-15 06:42:53.495908 : Epoch 10, Batch    621, Loss  0.592265, Average Loss  0.601349, Time  0.231039
2021-09-15 06:42:53.773921 : Epoch  9, Batch    484, Loss  0.605349, Average Loss  0.602029, Time  0.236971
2021-09-15 06:42:55.047917 : Epoch 10, Batch    622, Loss  0.593878, Average Loss  0.601308, Time  0.231335
2021-09-15 06:42:55.305373 : Epoch  9, Batch    485, Loss  0.606418, Average Loss  0.602020, Time  0.240272
2021-09-15 06:42:56.659098 : Epoch 10, Batch    623, Loss  0.586648, Average Loss  0.601238, Time  0.231642
2021-09-15 06:42:56.831992 : Epoch  9, Batch    486, Loss  0.603329, Average Loss  0.602042, Time  0.238286
2021-09-15 06:42:58.208935 : Epoch 10, Batch    624, Loss  0.606540, Average Loss  0.601242, Time  0.231379
2021-09-15 06:42:58.364867 : Epoch  9, Batch    487, Loss  0.601404, Average Loss  0.602061, Time  0.242263
2021-09-15 06:42:59.755166 : Epoch 10, Batch    625, Loss  0.604565, Average Loss  0.601318, Time  0.231423
2021-09-15 06:42:59.887441 : Epoch  9, Batch    488, Loss  0.591914, Average Loss  0.601998, Time  0.238768
2021-09-15 06:43:01.305876 : Epoch 10, Batch    626, Loss  0.604493, Average Loss  0.601334, Time  0.231419
2021-09-15 06:43:01.403856 : Epoch  9, Batch    489, Loss  0.608365, Average Loss  0.602092, Time  0.241166
2021-09-15 06:43:02.858037 : Epoch 10, Batch    627, Loss  0.599807, Average Loss  0.601315, Time  0.231323
2021-09-15 06:43:02.925181 : Epoch  9, Batch    490, Loss  0.588650, Average Loss  0.601943, Time  0.240858
2021-09-15 06:43:04.416539 : Epoch 10, Batch    628, Loss  0.601306, Average Loss  0.601314, Time  0.232416
2021-09-15 06:43:04.470015 : Epoch  9, Batch    491, Loss  0.596537, Average Loss  0.601938, Time  0.241290
2021-09-15 06:43:05.963904 : Epoch 10, Batch    629, Loss  0.593099, Average Loss  0.601215, Time  0.231320
2021-09-15 06:43:06.009577 : Epoch  9, Batch    492, Loss  0.598319, Average Loss  0.601937, Time  0.240410
2021-09-15 06:43:07.523975 : Epoch 10, Batch    630, Loss  0.601516, Average Loss  0.601238, Time  0.231798
2021-09-15 06:43:07.568794 : Epoch  9, Batch    493, Loss  0.608248, Average Loss  0.601956, Time  0.240327
2021-09-15 06:43:09.076404 : Epoch 10, Batch    631, Loss  0.605215, Average Loss  0.601236, Time  0.231565
2021-09-15 06:43:09.117390 : Epoch  9, Batch    494, Loss  0.593641, Average Loss  0.601913, Time  0.240804
2021-09-15 06:43:10.625861 : Epoch 10, Batch    632, Loss  0.588804, Average Loss  0.601156, Time  0.231477
2021-09-15 06:43:10.658404 : Epoch  9, Batch    495, Loss  0.599712, Average Loss  0.601866, Time  0.239267
2021-09-15 06:43:12.165068 : Epoch 10, Batch    633, Loss  0.598405, Average Loss  0.601093, Time  0.231516
2021-09-15 06:43:12.210198 : Epoch  9, Batch    496, Loss  0.616680, Average Loss  0.601967, Time  0.238908
2021-09-15 06:43:13.709797 : Epoch 10, Batch    634, Loss  0.610489, Average Loss  0.601122, Time  0.232527
2021-09-15 06:43:13.747780 : Epoch  9, Batch    497, Loss  0.607329, Average Loss  0.601979, Time  0.238603
2021-09-15 06:43:15.250558 : Epoch 10, Batch    635, Loss  0.598349, Average Loss  0.601105, Time  0.231456
2021-09-15 06:43:15.285877 : Epoch  9, Batch    498, Loss  0.597242, Average Loss  0.601908, Time  0.238254
2021-09-15 06:43:16.794096 : Epoch 10, Batch    636, Loss  0.588189, Average Loss  0.601087, Time  0.231685
2021-09-15 06:43:16.826872 : Epoch  9, Batch    499, Loss  0.608028, Average Loss  0.601918, Time  0.238250
2021-09-15 06:43:18.349503 : Epoch 10, Batch    637, Loss  0.597941, Average Loss  0.601078, Time  0.231415
2021-09-15 06:43:18.382414 : Epoch  9, Batch    500, Loss  0.597628, Average Loss  0.601891, Time  0.240063
2021-09-15 06:43:18.593828 : CheckPoint: Validation Loss  0.00030365, Best Loss  0.00029571
2021-09-15 06:43:19.901794 : Epoch  9, Batch    501, Loss  0.609689, Average Loss  0.601912, Time  0.241185
2021-09-15 06:43:19.944060 : Epoch 10, Batch    638, Loss  0.606426, Average Loss  0.601049, Time  0.231398
2021-09-15 06:43:21.435745 : Epoch  9, Batch    502, Loss  0.603584, Average Loss  0.601878, Time  0.240956
2021-09-15 06:43:21.500015 : Epoch 10, Batch    639, Loss  0.600888, Average Loss  0.601138, Time  0.232029
2021-09-15 06:43:21.606623 : Epoch  2, Batch    945, Loss  0.868883, Average Loss  0.873278, Time  0.266848
2021-09-15 06:43:22.973914 : Epoch  9, Batch    503, Loss  0.605103, Average Loss  0.601868, Time  0.239478
2021-09-15 06:43:23.072067 : Epoch 10, Batch    640, Loss  0.609254, Average Loss  0.601151, Time  0.231229
2021-09-15 06:43:24.502035 : Epoch  9, Batch    504, Loss  0.607884, Average Loss  0.601878, Time  0.238976
2021-09-15 06:43:24.608975 : Epoch  2, Batch    946, Loss  0.871868, Average Loss  0.873327, Time  0.264401
2021-09-15 06:43:24.620848 : Epoch 10, Batch    641, Loss  0.606996, Average Loss  0.601208, Time  0.231372
2021-09-15 06:43:26.195061 : Epoch 10, Batch    642, Loss  0.599108, Average Loss  0.601254, Time  0.231443
2021-09-15 06:43:27.601090 : Epoch  2, Batch    947, Loss  0.875863, Average Loss  0.873323, Time  0.265394
2021-09-15 06:43:27.740607 : Epoch 10, Batch    643, Loss  0.603410, Average Loss  0.601276, Time  0.231209
2021-09-15 06:43:29.280993 : Epoch 10, Batch    644, Loss  0.610831, Average Loss  0.601325, Time  0.232194
2021-09-15 06:43:30.605789 : Epoch  2, Batch    948, Loss  0.892421, Average Loss  0.873433, Time  0.265215
2021-09-15 06:43:30.826324 : Epoch 10, Batch    645, Loss  0.601732, Average Loss  0.601381, Time  0.232202
2021-09-15 06:43:32.370061 : Epoch 10, Batch    646, Loss  0.603815, Average Loss  0.601380, Time  0.231627
2021-09-15 06:43:33.622506 : Epoch  2, Batch    949, Loss  0.859936, Average Loss  0.873290, Time  0.265081
2021-09-15 06:43:33.920563 : Epoch 10, Batch    647, Loss  0.589151, Average Loss  0.601351, Time  0.231592
2021-09-15 06:43:35.465078 : Epoch 10, Batch    648, Loss  0.605026, Average Loss  0.601361, Time  0.232172
2021-09-15 06:43:36.628441 : Epoch  2, Batch    950, Loss  0.875459, Average Loss  0.873328, Time  0.265218
2021-09-15 06:43:37.020795 : Epoch 10, Batch    649, Loss  0.602222, Average Loss  0.601397, Time  0.232143
2021-09-15 06:43:38.562449 : Epoch 10, Batch    650, Loss  0.614419, Average Loss  0.601487, Time  0.231173
2021-09-15 06:43:39.686152 : Epoch  2, Batch    951, Loss  0.884724, Average Loss  0.873449, Time  0.264952
2021-09-15 06:43:40.110849 : Epoch 10, Batch    651, Loss  0.595277, Average Loss  0.601440, Time  0.231446
2021-09-15 06:43:41.650779 : Epoch 10, Batch    652, Loss  0.596404, Average Loss  0.601420, Time  0.230723
2021-09-15 06:43:42.706004 : Epoch  2, Batch    952, Loss  0.858415, Average Loss  0.873292, Time  0.266543
2021-09-15 06:43:43.198205 : Epoch 10, Batch    653, Loss  0.602161, Average Loss  0.601370, Time  0.233245
2021-09-15 06:43:44.735959 : Epoch 10, Batch    654, Loss  0.608216, Average Loss  0.601440, Time  0.231122
2021-09-15 06:43:45.720082 : Epoch  2, Batch    953, Loss  0.868089, Average Loss  0.873341, Time  0.264249
2021-09-15 06:43:46.287875 : Epoch 10, Batch    655, Loss  0.603925, Average Loss  0.601487, Time  0.233841
2021-09-15 06:43:47.839592 : Epoch 10, Batch    656, Loss  0.605574, Average Loss  0.601491, Time  0.232095
2021-09-15 06:43:48.725035 : Epoch  2, Batch    954, Loss  0.874919, Average Loss  0.873328, Time  0.274352
2021-09-15 06:43:49.384303 : Epoch 10, Batch    657, Loss  0.592260, Average Loss  0.601441, Time  0.231306
2021-09-15 06:43:50.931397 : Epoch 10, Batch    658, Loss  0.607792, Average Loss  0.601509, Time  0.232263
2021-09-15 06:43:51.718234 : Epoch  2, Batch    955, Loss  0.884442, Average Loss  0.873324, Time  0.264944
2021-09-15 06:43:52.484805 : Epoch 10, Batch    659, Loss  0.608783, Average Loss  0.601542, Time  0.231053
2021-09-15 06:43:54.025987 : Epoch 10, Batch    660, Loss  0.604372, Average Loss  0.601538, Time  0.231078
2021-09-15 06:43:54.727656 : Epoch  2, Batch    956, Loss  0.867154, Average Loss  0.873328, Time  0.266058
2021-09-15 06:43:55.571047 : Epoch 10, Batch    661, Loss  0.602237, Average Loss  0.601529, Time  0.232933
2021-09-15 06:43:57.127518 : Epoch 10, Batch    662, Loss  0.583287, Average Loss  0.601382, Time  0.230758
2021-09-15 06:43:57.747891 : Epoch  2, Batch    957, Loss  0.833314, Average Loss  0.873198, Time  0.264731
2021-09-15 06:43:58.669984 : Epoch 10, Batch    663, Loss  0.589976, Average Loss  0.601282, Time  0.231661
2021-09-15 06:44:00.218907 : Epoch 10, Batch    664, Loss  0.600416, Average Loss  0.601221, Time  0.232202
2021-09-15 06:44:00.783797 : Epoch  2, Batch    958, Loss  0.875209, Average Loss  0.873177, Time  0.265586
2021-09-15 06:44:01.765179 : Epoch 10, Batch    665, Loss  0.608224, Average Loss  0.601263, Time  0.231673
2021-09-15 06:44:03.307148 : Epoch 10, Batch    666, Loss  0.586952, Average Loss  0.601173, Time  0.231601
2021-09-15 06:44:03.780560 : Epoch  2, Batch    959, Loss  0.885870, Average Loss  0.873177, Time  0.264567
2021-09-15 06:44:04.853060 : Epoch 10, Batch    667, Loss  0.601126, Average Loss  0.601209, Time  0.231658
2021-09-15 06:44:06.398172 : Epoch 10, Batch    668, Loss  0.602933, Average Loss  0.601159, Time  0.232069
2021-09-15 06:44:06.788024 : Epoch  2, Batch    960, Loss  0.863554, Average Loss  0.873011, Time  0.265557
2021-09-15 06:44:07.945547 : Epoch 10, Batch    669, Loss  0.608855, Average Loss  0.601170, Time  0.231164
2021-09-15 06:44:09.486319 : Epoch 10, Batch    670, Loss  0.595556, Average Loss  0.601150, Time  0.231038
2021-09-15 06:44:09.802846 : Epoch  2, Batch    961, Loss  0.852042, Average Loss  0.872881, Time  0.265353
2021-09-15 06:44:11.030960 : Epoch 10, Batch    671, Loss  0.593381, Average Loss  0.601154, Time  0.231032
2021-09-15 06:44:12.583550 : Epoch 10, Batch    672, Loss  0.589253, Average Loss  0.601084, Time  0.231005
2021-09-15 06:44:12.836523 : Epoch  2, Batch    962, Loss  0.875686, Average Loss  0.872900, Time  0.266649
2021-09-15 06:44:14.120686 : Epoch 10, Batch    673, Loss  0.613082, Average Loss  0.601127, Time  0.229666
2021-09-15 06:44:15.663753 : Epoch 10, Batch    674, Loss  0.587312, Average Loss  0.600990, Time  0.231258
2021-09-15 06:44:15.835711 : Epoch  2, Batch    963, Loss  0.889873, Average Loss  0.873033, Time  0.264593
2021-09-15 06:44:17.209043 : Epoch 10, Batch    675, Loss  0.599987, Average Loss  0.600984, Time  0.231241
2021-09-15 06:44:18.757016 : Epoch 10, Batch    676, Loss  0.596500, Average Loss  0.600979, Time  0.230989
2021-09-15 06:44:18.825340 : Epoch  2, Batch    964, Loss  0.887138, Average Loss  0.873146, Time  0.265146
2021-09-15 06:44:20.300440 : Epoch 10, Batch    677, Loss  0.605099, Average Loss  0.601079, Time  0.231208
2021-09-15 06:44:21.156713 : CheckPoint: Validation Loss  0.00024815, Best Loss  0.00024341
2021-09-15 06:44:21.832434 : Epoch  2, Batch    965, Loss  0.875049, Average Loss  0.873094, Time  0.267530
2021-09-15 06:44:21.841105 : Epoch 10, Batch    678, Loss  0.593809, Average Loss  0.601008, Time  0.231286
2021-09-15 06:44:22.703028 : Epoch  9, Batch    505, Loss  0.609221, Average Loss  0.601908, Time  0.259706
2021-09-15 06:44:23.388180 : Epoch 10, Batch    679, Loss  0.601071, Average Loss  0.601021, Time  0.231729
2021-09-15 06:44:24.251952 : Epoch  9, Batch    506, Loss  0.596675, Average Loss  0.601952, Time  0.243648
2021-09-15 06:44:24.864905 : Epoch  2, Batch    966, Loss  0.855401, Average Loss  0.873102, Time  0.265455
2021-09-15 06:44:24.935944 : Epoch 10, Batch    680, Loss  0.591336, Average Loss  0.600961, Time  0.230921
2021-09-15 06:44:25.775815 : Epoch  9, Batch    507, Loss  0.614543, Average Loss  0.602068, Time  0.241087
2021-09-15 06:44:26.465432 : Epoch 10, Batch    681, Loss  0.596582, Average Loss  0.600911, Time  0.231111
2021-09-15 06:44:27.293314 : Epoch  9, Batch    508, Loss  0.610406, Average Loss  0.602118, Time  0.239502
2021-09-15 06:44:27.889118 : Epoch  2, Batch    967, Loss  0.862986, Average Loss  0.872963, Time  0.265023
2021-09-15 06:44:28.017336 : Epoch 10, Batch    682, Loss  0.604769, Average Loss  0.600913, Time  0.232653
2021-09-15 06:44:28.814985 : Epoch  9, Batch    509, Loss  0.592500, Average Loss  0.602050, Time  0.239968
2021-09-15 06:44:29.547396 : Epoch 10, Batch    683, Loss  0.608744, Average Loss  0.600939, Time  0.231098
2021-09-15 06:44:30.345389 : Epoch  9, Batch    510, Loss  0.591527, Average Loss  0.602015, Time  0.242127
2021-09-15 06:44:30.911945 : Epoch  2, Batch    968, Loss  0.887952, Average Loss  0.873058, Time  0.266013
2021-09-15 06:44:31.126370 : Epoch 10, Batch    684, Loss  0.594555, Average Loss  0.600897, Time  0.230828
2021-09-15 06:44:31.887398 : Epoch  9, Batch    511, Loss  0.611936, Average Loss  0.602030, Time  0.242034
2021-09-15 06:44:32.656452 : Epoch 10, Batch    685, Loss  0.614595, Average Loss  0.600936, Time  0.230872
2021-09-15 06:44:33.413051 : Epoch  9, Batch    512, Loss  0.599103, Average Loss  0.601976, Time  0.240874
2021-09-15 06:44:33.941286 : Epoch  2, Batch    969, Loss  0.858108, Average Loss  0.873017, Time  0.278276
2021-09-15 06:44:34.207372 : Epoch 10, Batch    686, Loss  0.616913, Average Loss  0.600988, Time  0.230875
2021-09-15 06:44:35.117249 : Epoch  9, Batch    513, Loss  0.597001, Average Loss  0.601945, Time  0.260245
2021-09-15 06:44:35.737565 : Epoch 10, Batch    687, Loss  0.593454, Average Loss  0.600878, Time  0.230989
2021-09-15 06:44:36.650388 : Epoch  9, Batch    514, Loss  0.610717, Average Loss  0.602006, Time  0.238698
2021-09-15 06:44:36.947983 : Epoch  2, Batch    970, Loss  0.871852, Average Loss  0.873026, Time  0.265958
2021-09-15 06:44:38.180914 : Epoch  9, Batch    515, Loss  0.602110, Average Loss  0.602042, Time  0.238056
2021-09-15 06:44:39.719925 : Epoch 10, Batch    688, Loss  0.608887, Average Loss  0.600936, Time  0.271611
2021-09-15 06:44:39.761465 : Epoch  9, Batch    516, Loss  0.602854, Average Loss  0.602026, Time  0.240261
2021-09-15 06:44:39.949183 : Epoch  2, Batch    971, Loss  0.844519, Average Loss  0.872883, Time  0.265288
2021-09-15 06:44:41.278796 : Epoch  9, Batch    517, Loss  0.601991, Average Loss  0.601987, Time  0.238141
2021-09-15 06:44:41.316013 : Epoch 10, Batch    689, Loss  0.594066, Average Loss  0.600878, Time  0.251445
2021-09-15 06:44:42.796974 : Epoch  9, Batch    518, Loss  0.603262, Average Loss  0.602011, Time  0.238709
2021-09-15 06:44:42.847402 : Epoch 10, Batch    690, Loss  0.601115, Average Loss  0.600911, Time  0.231211
2021-09-15 06:44:42.939300 : Epoch  2, Batch    972, Loss  0.849859, Average Loss  0.872686, Time  0.264794
2021-09-15 06:44:44.381056 : Epoch 10, Batch    691, Loss  0.605947, Average Loss  0.600938, Time  0.231972
2021-09-15 06:44:44.475014 : Epoch  9, Batch    519, Loss  0.597581, Average Loss  0.601989, Time  0.257455
2021-09-15 06:44:45.922260 : Epoch  2, Batch    973, Loss  0.883096, Average Loss  0.872604, Time  0.265047
2021-09-15 06:44:45.926798 : Epoch 10, Batch    692, Loss  0.601260, Average Loss  0.600970, Time  0.232111
2021-09-15 06:44:45.984834 : Epoch  9, Batch    520, Loss  0.595218, Average Loss  0.601964, Time  0.240201
2021-09-15 06:44:47.494130 : Epoch 10, Batch    693, Loss  0.615932, Average Loss  0.601054, Time  0.233785
2021-09-15 06:44:47.527063 : Epoch  9, Batch    521, Loss  0.613574, Average Loss  0.602025, Time  0.238400
2021-09-15 06:44:48.927304 : Epoch  2, Batch    974, Loss  0.885208, Average Loss  0.872580, Time  0.264769
2021-09-15 06:44:49.036621 : Epoch 10, Batch    694, Loss  0.601266, Average Loss  0.601075, Time  0.231163
2021-09-15 06:44:49.207476 : Epoch  9, Batch    522, Loss  0.594989, Average Loss  0.601995, Time  0.259793
2021-09-15 06:44:50.572141 : Epoch 10, Batch    695, Loss  0.609108, Average Loss  0.601088, Time  0.231537
2021-09-15 06:44:50.882056 : Epoch  9, Batch    523, Loss  0.606087, Average Loss  0.602049, Time  0.259544
2021-09-15 06:44:51.861730 : Epoch  2, Batch    975, Loss  0.850514, Average Loss  0.872508, Time  0.266990
2021-09-15 06:44:52.116570 : Epoch 10, Batch    696, Loss  0.608989, Average Loss  0.601219, Time  0.231599
2021-09-15 06:44:52.549028 : Epoch  9, Batch    524, Loss  0.597906, Average Loss  0.602044, Time  0.258388
2021-09-15 06:44:53.648932 : Epoch 10, Batch    697, Loss  0.597132, Average Loss  0.601220, Time  0.231537
2021-09-15 06:44:54.083282 : Epoch  9, Batch    525, Loss  0.610609, Average Loss  0.602143, Time  0.240122
2021-09-15 06:44:54.885040 : Epoch  2, Batch    976, Loss  0.886540, Average Loss  0.872544, Time  0.268156
2021-09-15 06:44:55.204957 : Epoch 10, Batch    698, Loss  0.589931, Average Loss  0.601146, Time  0.231534
2021-09-15 06:44:55.604902 : Epoch  9, Batch    526, Loss  0.605609, Average Loss  0.602233, Time  0.239871
2021-09-15 06:44:56.731825 : Epoch 10, Batch    699, Loss  0.614549, Average Loss  0.601209, Time  0.231864
2021-09-15 06:44:57.116804 : Epoch  9, Batch    527, Loss  0.587658, Average Loss  0.602145, Time  0.237731
2021-09-15 06:44:57.903580 : Epoch  2, Batch    977, Loss  0.870087, Average Loss  0.872539, Time  0.265713
2021-09-15 06:44:58.280040 : Epoch 10, Batch    700, Loss  0.591062, Average Loss  0.601155, Time  0.231435
2021-09-15 06:44:58.631385 : Epoch  9, Batch    528, Loss  0.606049, Average Loss  0.602229, Time  0.241950
2021-09-15 06:44:59.816396 : Epoch 10, Batch    701, Loss  0.579641, Average Loss  0.601028, Time  0.231204
2021-09-15 06:45:00.146120 : Epoch  9, Batch    529, Loss  0.598660, Average Loss  0.602151, Time  0.239239
2021-09-15 06:45:00.986644 : Epoch  2, Batch    978, Loss  0.897138, Average Loss  0.872652, Time  0.267220
2021-09-15 06:45:01.357588 : Epoch 10, Batch    702, Loss  0.618723, Average Loss  0.601162, Time  0.231275
2021-09-15 06:45:01.687557 : Epoch  9, Batch    530, Loss  0.608162, Average Loss  0.602193, Time  0.240433
2021-09-15 06:45:02.898556 : Epoch 10, Batch    703, Loss  0.596982, Average Loss  0.601145, Time  0.231201
2021-09-15 06:45:03.207767 : Epoch  9, Batch    531, Loss  0.601182, Average Loss  0.602174, Time  0.243092
2021-09-15 06:45:03.957028 : Epoch  2, Batch    979, Loss  0.876371, Average Loss  0.872639, Time  0.265867
2021-09-15 06:45:04.450912 : Epoch 10, Batch    704, Loss  0.601759, Average Loss  0.601134, Time  0.231760
2021-09-15 06:45:04.720685 : Epoch  9, Batch    532, Loss  0.610148, Average Loss  0.602168, Time  0.238431
2021-09-15 06:45:05.982020 : Epoch 10, Batch    705, Loss  0.599101, Average Loss  0.601171, Time  0.231124
2021-09-15 06:45:06.238969 : Epoch  9, Batch    533, Loss  0.610675, Average Loss  0.602211, Time  0.239535
2021-09-15 06:45:06.936489 : Epoch  2, Batch    980, Loss  0.878934, Average Loss  0.872689, Time  0.264375
2021-09-15 06:45:07.541864 : Epoch 10, Batch    706, Loss  0.591606, Average Loss  0.601132, Time  0.231671
2021-09-15 06:45:07.765858 : Epoch  9, Batch    534, Loss  0.600525, Average Loss  0.602257, Time  0.242555
2021-09-15 06:45:09.098263 : Epoch 10, Batch    707, Loss  0.606497, Average Loss  0.601151, Time  0.231349
2021-09-15 06:45:09.278868 : Epoch  9, Batch    535, Loss  0.615547, Average Loss  0.602328, Time  0.238844
2021-09-15 06:45:09.964217 : Epoch  2, Batch    981, Loss  0.869975, Average Loss  0.872729, Time  0.267491
2021-09-15 06:45:10.655497 : Epoch 10, Batch    708, Loss  0.602545, Average Loss  0.601159, Time  0.231923
2021-09-15 06:45:10.787938 : Epoch  9, Batch    536, Loss  0.597186, Average Loss  0.602325, Time  0.241652
2021-09-15 06:45:12.241573 : Epoch 10, Batch    709, Loss  0.603023, Average Loss  0.601152, Time  0.249802
2021-09-15 06:45:12.301070 : Epoch  9, Batch    537, Loss  0.592380, Average Loss  0.602274, Time  0.238763
2021-09-15 06:45:12.992634 : Epoch  2, Batch    982, Loss  0.859360, Average Loss  0.872590, Time  0.267841
2021-09-15 06:45:13.791258 : Epoch 10, Batch    710, Loss  0.599908, Average Loss  0.601121, Time  0.231351
2021-09-15 06:45:13.827993 : Epoch  9, Batch    538, Loss  0.588921, Average Loss  0.602230, Time  0.239393
2021-09-15 06:45:15.341130 : Epoch  9, Batch    539, Loss  0.615125, Average Loss  0.602286, Time  0.239212
2021-09-15 06:45:15.380182 : Epoch 10, Batch    711, Loss  0.588406, Average Loss  0.601019, Time  0.232866
2021-09-15 06:45:15.983767 : Epoch  2, Batch    983, Loss  0.865806, Average Loss  0.872541, Time  0.264971
2021-09-15 06:45:16.881036 : Epoch  9, Batch    540, Loss  0.593374, Average Loss  0.602160, Time  0.239787
2021-09-15 06:45:16.931006 : Epoch 10, Batch    712, Loss  0.609192, Average Loss  0.601102, Time  0.232239
2021-09-15 06:45:18.412963 : Epoch  9, Batch    541, Loss  0.609902, Average Loss  0.602235, Time  0.239280
2021-09-15 06:45:18.490318 : Epoch 10, Batch    713, Loss  0.598305, Average Loss  0.601056, Time  0.232784
2021-09-15 06:45:18.990064 : Epoch  2, Batch    984, Loss  0.889652, Average Loss  0.872673, Time  0.273353
2021-09-15 06:45:20.039976 : Epoch 10, Batch    714, Loss  0.599650, Average Loss  0.601041, Time  0.232575
2021-09-15 06:45:20.094388 : Epoch  9, Batch    542, Loss  0.602826, Average Loss  0.602204, Time  0.256416
2021-09-15 06:45:21.621534 : Epoch 10, Batch    715, Loss  0.599400, Average Loss  0.601019, Time  0.254614
2021-09-15 06:45:21.772269 : Epoch  9, Batch    543, Loss  0.592883, Average Loss  0.602184, Time  0.259777
2021-09-15 06:45:21.980193 : Epoch  2, Batch    985, Loss  0.866492, Average Loss  0.872695, Time  0.265513
2021-09-15 06:45:23.186331 : Epoch 10, Batch    716, Loss  0.597561, Average Loss  0.601027, Time  0.231365
2021-09-15 06:45:23.298840 : Epoch  9, Batch    544, Loss  0.603463, Average Loss  0.602171, Time  0.242053
2021-09-15 06:45:24.748499 : Epoch 10, Batch    717, Loss  0.608312, Average Loss  0.601018, Time  0.231910
2021-09-15 06:45:24.814792 : Epoch  9, Batch    545, Loss  0.592491, Average Loss  0.602100, Time  0.238111
2021-09-15 06:45:24.983451 : Epoch  2, Batch    986, Loss  0.875615, Average Loss  0.872568, Time  0.264618
2021-09-15 06:45:26.334001 : Epoch  9, Batch    546, Loss  0.588929, Average Loss  0.601973, Time  0.238774
2021-09-15 06:45:27.874085 : Epoch  9, Batch    547, Loss  0.603550, Average Loss  0.602002, Time  0.242362
2021-09-15 06:45:27.978038 : Epoch  2, Batch    987, Loss  0.869462, Average Loss  0.872505, Time  0.266119
2021-09-15 06:45:29.398976 : Epoch  9, Batch    548, Loss  0.596218, Average Loss  0.601961, Time  0.238556
2021-09-15 06:45:30.945117 : Epoch  9, Batch    549, Loss  0.607268, Average Loss  0.602059, Time  0.240549
2021-09-15 06:45:30.960005 : Epoch  2, Batch    988, Loss  0.878779, Average Loss  0.872578, Time  0.266400
2021-09-15 06:45:32.476013 : Epoch  9, Batch    550, Loss  0.597581, Average Loss  0.602019, Time  0.238954
2021-09-15 06:45:33.999910 : Epoch  9, Batch    551, Loss  0.586628, Average Loss  0.601967, Time  0.237924
2021-09-15 06:45:35.562798 : Epoch  9, Batch    552, Loss  0.602008, Average Loss  0.601965, Time  0.251265
2021-09-15 06:45:37.012854 : Epoch  2, Batch    990, Loss  0.864822, Average Loss  0.872514, Time  0.265455
2021-09-15 06:45:37.081168 : Epoch  9, Batch    553, Loss  0.594644, Average Loss  0.601891, Time  0.239670
2021-09-15 06:45:38.608852 : Epoch  9, Batch    554, Loss  0.587835, Average Loss  0.601777, Time  0.240501
2021-09-15 06:45:40.001933 : Epoch  2, Batch    991, Loss  0.861902, Average Loss  0.872481, Time  0.264348
2021-09-15 06:45:40.185265 : Epoch  9, Batch    555, Loss  0.603047, Average Loss  0.601793, Time  0.239874
2021-09-15 06:45:41.708363 : Epoch  9, Batch    556, Loss  0.600307, Average Loss  0.601778, Time  0.240501
2021-09-15 06:45:42.990727 : Epoch  2, Batch    992, Loss  0.886490, Average Loss  0.872575, Time  0.264505
2021-09-15 06:45:43.243850 : Epoch  9, Batch    557, Loss  0.597937, Average Loss  0.601774, Time  0.239494
2021-09-15 06:45:44.767351 : Epoch  9, Batch    558, Loss  0.614172, Average Loss  0.601873, Time  0.240772
2021-09-15 06:45:45.984860 : Epoch  2, Batch    993, Loss  0.878754, Average Loss  0.872501, Time  0.265404
2021-09-15 06:45:46.295076 : Epoch  9, Batch    559, Loss  0.593440, Average Loss  0.601760, Time  0.240174
2021-09-15 06:45:47.971397 : Epoch  9, Batch    560, Loss  0.601007, Average Loss  0.601718, Time  0.259783
2021-09-15 06:45:49.007922 : Epoch  2, Batch    994, Loss  0.872635, Average Loss  0.872554, Time  0.265775
2021-09-15 06:45:49.673959 : Epoch  9, Batch    561, Loss  0.592166, Average Loss  0.601688, Time  0.259772
2021-09-15 06:45:51.359392 : Epoch  9, Batch    562, Loss  0.598311, Average Loss  0.601709, Time  0.258298
2021-09-15 06:45:52.009530 : Epoch  2, Batch    995, Loss  0.893341, Average Loss  0.872721, Time  0.265091
2021-09-15 06:45:53.042494 : Epoch  9, Batch    563, Loss  0.608257, Average Loss  0.601739, Time  0.240845
2021-09-15 06:45:54.590361 : Epoch  9, Batch    564, Loss  0.610923, Average Loss  0.601753, Time  0.241467
2021-09-15 06:45:55.024796 : Epoch  2, Batch    996, Loss  0.835802, Average Loss  0.872495, Time  0.265098
2021-09-15 06:45:56.128056 : Epoch  9, Batch    565, Loss  0.610558, Average Loss  0.601765, Time  0.240064
2021-09-15 06:45:57.656854 : Epoch  9, Batch    566, Loss  0.592027, Average Loss  0.601700, Time  0.239424
2021-09-15 06:45:58.021112 : Epoch  2, Batch    997, Loss  0.861063, Average Loss  0.872370, Time  0.264487
2021-09-15 06:45:59.197262 : Epoch  9, Batch    567, Loss  0.604545, Average Loss  0.601730, Time  0.239505
2021-09-15 06:46:00.738139 : Epoch  9, Batch    568, Loss  0.597898, Average Loss  0.601661, Time  0.240228
2021-09-15 06:46:01.051518 : Epoch  2, Batch    998, Loss  0.888723, Average Loss  0.872449, Time  0.265587
2021-09-15 06:46:02.271013 : Epoch  9, Batch    569, Loss  0.599830, Average Loss  0.601669, Time  0.241868
2021-09-15 06:46:03.795403 : Epoch  9, Batch    570, Loss  0.597839, Average Loss  0.601635, Time  0.238692
2021-09-15 06:46:04.057043 : Epoch  2, Batch    999, Loss  0.875159, Average Loss  0.872421, Time  0.276789
2021-09-15 06:46:05.317791 : Epoch  9, Batch    571, Loss  0.600704, Average Loss  0.601640, Time  0.238456
2021-09-15 06:46:06.860081 : Epoch  9, Batch    572, Loss  0.601083, Average Loss  0.601666, Time  0.239627
2021-09-15 06:46:07.059977 : Epoch  2, Batch   1000, Loss  0.891151, Average Loss  0.872427, Time  0.267044
2021-09-15 06:46:08.382903 : Epoch  9, Batch    573, Loss  0.597816, Average Loss  0.601598, Time  0.239484
2021-09-15 06:46:09.918050 : Epoch  9, Batch    574, Loss  0.602457, Average Loss  0.601565, Time  0.238406
2021-09-15 06:46:10.062207 : Epoch  2, Batch   1001, Loss  0.858456, Average Loss  0.872335, Time  0.265637
2021-09-15 06:46:13.058932 : Epoch  2, Batch   1002, Loss  0.858611, Average Loss  0.872387, Time  0.265998
2021-09-15 06:46:13.918874 : Epoch  9, Batch    575, Loss  0.595015, Average Loss  0.601553, Time  0.271072
2021-09-15 06:46:15.435852 : Epoch  9, Batch    576, Loss  0.606604, Average Loss  0.601601, Time  0.238974
2021-09-15 06:46:16.050170 : Epoch  2, Batch   1003, Loss  0.882350, Average Loss  0.872421, Time  0.264879
2021-09-15 06:46:16.947367 : Epoch  9, Batch    577, Loss  0.602543, Average Loss  0.601595, Time  0.238443
2021-09-15 06:46:18.489079 : Epoch  9, Batch    578, Loss  0.597026, Average Loss  0.601506, Time  0.238487
2021-09-15 06:46:19.092480 : Epoch  2, Batch   1004, Loss  0.854546, Average Loss  0.872251, Time  0.265549
2021-09-15 06:46:20.187985 : Epoch  9, Batch    579, Loss  0.605381, Average Loss  0.601556, Time  0.258747
2021-09-15 06:46:21.714880 : Epoch  9, Batch    580, Loss  0.594678, Average Loss  0.601521, Time  0.238148
2021-09-15 06:46:22.154111 : Epoch  2, Batch   1005, Loss  0.861060, Average Loss  0.872321, Time  0.264936
2021-09-15 06:46:23.237433 : Epoch  9, Batch    581, Loss  0.601838, Average Loss  0.601526, Time  0.238931
2021-09-15 06:46:23.523893 : CheckPoint: Validation Loss  0.00024774, Best Loss  0.00024263
2021-09-15 06:46:24.764982 : Epoch  9, Batch    582, Loss  0.601384, Average Loss  0.601524, Time  0.240007
2021-09-15 06:46:25.076152 : Epoch 10, Batch    718, Loss  0.602286, Average Loss  0.601009, Time  0.231722
2021-09-15 06:46:25.196295 : Epoch  2, Batch   1006, Loss  0.871776, Average Loss  0.872250, Time  0.266139
2021-09-15 06:46:26.310849 : Epoch  9, Batch    583, Loss  0.601912, Average Loss  0.601528, Time  0.241079
2021-09-15 06:46:26.619464 : Epoch 10, Batch    719, Loss  0.602271, Average Loss  0.600995, Time  0.231554
2021-09-15 06:46:27.833150 : Epoch  9, Batch    584, Loss  0.602029, Average Loss  0.601510, Time  0.239204
2021-09-15 06:46:28.170010 : Epoch 10, Batch    720, Loss  0.608062, Average Loss  0.601042, Time  0.232191
2021-09-15 06:46:28.180837 : Epoch  2, Batch   1007, Loss  0.866562, Average Loss  0.872240, Time  0.265708
2021-09-15 06:46:29.372369 : Epoch  9, Batch    585, Loss  0.614819, Average Loss  0.601555, Time  0.238878
2021-09-15 06:46:29.729981 : Epoch 10, Batch    721, Loss  0.607342, Average Loss  0.601047, Time  0.231763
2021-09-15 06:46:30.900170 : Epoch  9, Batch    586, Loss  0.603812, Average Loss  0.601498, Time  0.239300
2021-09-15 06:46:31.232303 : Epoch  2, Batch   1008, Loss  0.868133, Average Loss  0.872280, Time  0.264556
2021-09-15 06:46:31.287061 : Epoch 10, Batch    722, Loss  0.592783, Average Loss  0.601052, Time  0.231137
2021-09-15 06:46:32.418785 : Epoch  9, Batch    587, Loss  0.607573, Average Loss  0.601442, Time  0.238528
2021-09-15 06:46:32.843561 : Epoch 10, Batch    723, Loss  0.608746, Average Loss  0.601087, Time  0.232247
2021-09-15 06:46:33.940760 : Epoch  9, Batch    588, Loss  0.604654, Average Loss  0.601508, Time  0.239207
2021-09-15 06:46:34.247341 : Epoch  2, Batch   1009, Loss  0.856134, Average Loss  0.872180, Time  0.264610
2021-09-15 06:46:34.387968 : Epoch 10, Batch    724, Loss  0.591958, Average Loss  0.601044, Time  0.232660
2021-09-15 06:46:35.467218 : Epoch  9, Batch    589, Loss  0.613329, Average Loss  0.601567, Time  0.240072
2021-09-15 06:46:35.944234 : Epoch 10, Batch    725, Loss  0.595927, Average Loss  0.601053, Time  0.231261
2021-09-15 06:46:37.013106 : Epoch  9, Batch    590, Loss  0.600167, Average Loss  0.601604, Time  0.240745
2021-09-15 06:46:37.249363 : Epoch  2, Batch   1010, Loss  0.853404, Average Loss  0.872162, Time  0.265615
2021-09-15 06:46:37.495799 : Epoch 10, Batch    726, Loss  0.606303, Average Loss  0.601103, Time  0.234263
2021-09-15 06:46:38.550416 : Epoch  9, Batch    591, Loss  0.605240, Average Loss  0.601590, Time  0.240683
2021-09-15 06:46:39.040804 : Epoch 10, Batch    727, Loss  0.594337, Average Loss  0.601097, Time  0.230852
2021-09-15 06:46:40.086057 : Epoch  9, Batch    592, Loss  0.604293, Average Loss  0.601607, Time  0.238234
2021-09-15 06:46:40.256435 : Epoch  2, Batch   1011, Loss  0.862000, Average Loss  0.871931, Time  0.264850
2021-09-15 06:46:40.597865 : Epoch 10, Batch    728, Loss  0.598142, Average Loss  0.601049, Time  0.231757
2021-09-15 06:46:41.629466 : Epoch  9, Batch    593, Loss  0.603381, Average Loss  0.601626, Time  0.243333
2021-09-15 06:46:42.141838 : Epoch 10, Batch    729, Loss  0.609288, Average Loss  0.601124, Time  0.230922
2021-09-15 06:46:43.170828 : Epoch  9, Batch    594, Loss  0.595894, Average Loss  0.601547, Time  0.251565
2021-09-15 06:46:43.240787 : Epoch  2, Batch   1012, Loss  0.880589, Average Loss  0.872016, Time  0.265023
2021-09-15 06:46:43.737250 : Epoch 10, Batch    730, Loss  0.597951, Average Loss  0.601100, Time  0.231122
2021-09-15 06:46:44.720455 : Epoch  9, Batch    595, Loss  0.598897, Average Loss  0.601515, Time  0.243789
2021-09-15 06:46:45.284141 : Epoch 10, Batch    731, Loss  0.604170, Average Loss  0.601116, Time  0.231933
2021-09-15 06:46:46.245308 : Epoch  9, Batch    596, Loss  0.606963, Average Loss  0.601524, Time  0.236576
2021-09-15 06:46:46.258803 : Epoch  2, Batch   1013, Loss  0.844793, Average Loss  0.871941, Time  0.264355
2021-09-15 06:46:46.835340 : Epoch 10, Batch    732, Loss  0.600559, Average Loss  0.601073, Time  0.231474
2021-09-15 06:46:47.762802 : Epoch  9, Batch    597, Loss  0.620148, Average Loss  0.601610, Time  0.236304
2021-09-15 06:46:48.387983 : Epoch 10, Batch    733, Loss  0.605203, Average Loss  0.601051, Time  0.232384
2021-09-15 06:46:49.270772 : Epoch  2, Batch   1014, Loss  0.882176, Average Loss  0.872006, Time  0.271966
2021-09-15 06:46:49.287618 : Epoch  9, Batch    598, Loss  0.618334, Average Loss  0.601709, Time  0.237679
2021-09-15 06:46:49.936933 : Epoch 10, Batch    734, Loss  0.603597, Average Loss  0.601074, Time  0.229670
2021-09-15 06:46:50.817980 : Epoch  9, Batch    599, Loss  0.608202, Average Loss  0.601785, Time  0.237172
2021-09-15 06:46:51.495284 : Epoch 10, Batch    735, Loss  0.596619, Average Loss  0.601088, Time  0.232331
2021-09-15 06:46:52.301033 : Epoch  2, Batch   1015, Loss  0.860698, Average Loss  0.871887, Time  0.265213
2021-09-15 06:46:52.345033 : Epoch  9, Batch    600, Loss  0.628540, Average Loss  0.601902, Time  0.237554
2021-09-15 06:46:53.045344 : Epoch 10, Batch    736, Loss  0.598884, Average Loss  0.601111, Time  0.230864
2021-09-15 06:46:53.894904 : Epoch  9, Batch    601, Loss  0.605768, Average Loss  0.601983, Time  0.243901
2021-09-15 06:46:54.600951 : Epoch 10, Batch    737, Loss  0.606754, Average Loss  0.601106, Time  0.230883
2021-09-15 06:46:55.352551 : Epoch  2, Batch   1016, Loss  0.875406, Average Loss  0.871930, Time  0.266249
2021-09-15 06:46:55.423917 : Epoch  9, Batch    602, Loss  0.593664, Average Loss  0.601892, Time  0.239622
2021-09-15 06:46:56.151818 : Epoch 10, Batch    738, Loss  0.604643, Average Loss  0.601153, Time  0.231436
2021-09-15 06:46:56.963415 : Epoch  9, Batch    603, Loss  0.604912, Average Loss  0.601924, Time  0.240938
2021-09-15 06:46:57.691114 : Epoch 10, Batch    739, Loss  0.596648, Average Loss  0.601146, Time  0.232005
2021-09-15 06:46:58.358779 : Epoch  2, Batch   1017, Loss  0.866539, Average Loss  0.871867, Time  0.265242
2021-09-15 06:46:58.487444 : Epoch  9, Batch    604, Loss  0.601942, Average Loss  0.601958, Time  0.239287
2021-09-15 06:46:59.236531 : Epoch 10, Batch    740, Loss  0.600064, Average Loss  0.601082, Time  0.230991
2021-09-15 06:47:00.780375 : Epoch 10, Batch    741, Loss  0.597858, Average Loss  0.601073, Time  0.231341
2021-09-15 06:47:01.358612 : Epoch  2, Batch   1018, Loss  0.870221, Average Loss  0.871806, Time  0.265567
2021-09-15 06:47:02.322301 : Epoch 10, Batch    742, Loss  0.603147, Average Loss  0.601132, Time  0.230851
2021-09-15 06:47:03.862515 : Epoch 10, Batch    743, Loss  0.604720, Average Loss  0.601154, Time  0.231095
2021-09-15 06:47:04.379995 : Epoch  2, Batch   1019, Loss  0.865766, Average Loss  0.871841, Time  0.265413
2021-09-15 06:47:05.405793 : Epoch 10, Batch    744, Loss  0.603923, Average Loss  0.601190, Time  0.230845
2021-09-15 06:47:06.966830 : Epoch 10, Batch    745, Loss  0.610511, Average Loss  0.601229, Time  0.231212
2021-09-15 06:47:07.412826 : Epoch  2, Batch   1020, Loss  0.871353, Average Loss  0.871809, Time  0.266947
2021-09-15 06:47:08.509931 : Epoch 10, Batch    746, Loss  0.595814, Average Loss  0.601186, Time  0.232183
2021-09-15 06:47:10.070372 : Epoch 10, Batch    747, Loss  0.601623, Average Loss  0.601184, Time  0.231815
2021-09-15 06:47:10.442730 : Epoch  2, Batch   1021, Loss  0.867988, Average Loss  0.871824, Time  0.266600
2021-09-15 06:47:11.643921 : Epoch 10, Batch    748, Loss  0.599977, Average Loss  0.601130, Time  0.231391
2021-09-15 06:47:13.188119 : Epoch 10, Batch    749, Loss  0.605893, Average Loss  0.601162, Time  0.231726
2021-09-15 06:47:13.495541 : Epoch  2, Batch   1022, Loss  0.878081, Average Loss  0.871886, Time  0.266682
2021-09-15 06:47:14.734503 : Epoch 10, Batch    750, Loss  0.608980, Average Loss  0.601226, Time  0.233050
2021-09-15 06:47:16.275255 : Epoch 10, Batch    751, Loss  0.600334, Average Loss  0.601174, Time  0.232012
2021-09-15 06:47:16.522612 : Epoch  2, Batch   1023, Loss  0.876034, Average Loss  0.871950, Time  0.266379
2021-09-15 06:47:17.832560 : Epoch 10, Batch    752, Loss  0.601146, Average Loss  0.601195, Time  0.230980
2021-09-15 06:47:19.378088 : Epoch 10, Batch    753, Loss  0.603720, Average Loss  0.601241, Time  0.232882
2021-09-15 06:47:19.533828 : Epoch  2, Batch   1024, Loss  0.865302, Average Loss  0.871928, Time  0.265038
2021-09-15 06:47:20.928017 : Epoch 10, Batch    754, Loss  0.611685, Average Loss  0.601241, Time  0.231640
2021-09-15 06:47:22.481567 : Epoch 10, Batch    755, Loss  0.611178, Average Loss  0.601285, Time  0.231634
2021-09-15 06:47:22.618415 : Epoch  2, Batch   1025, Loss  0.851863, Average Loss  0.871937, Time  0.265219
2021-09-15 06:47:24.035903 : Epoch 10, Batch    756, Loss  0.587396, Average Loss  0.601253, Time  0.232450
2021-09-15 06:47:25.585361 : Epoch 10, Batch    757, Loss  0.608422, Average Loss  0.601307, Time  0.231102
2021-09-15 06:47:25.646580 : Epoch  2, Batch   1026, Loss  0.880043, Average Loss  0.871978, Time  0.265778
2021-09-15 06:47:27.138850 : Epoch 10, Batch    758, Loss  0.606975, Average Loss  0.601356, Time  0.231637
2021-09-15 06:47:28.646449 : Epoch  2, Batch   1027, Loss  0.847964, Average Loss  0.871955, Time  0.265260
2021-09-15 06:47:28.695368 : Epoch 10, Batch    759, Loss  0.598756, Average Loss  0.601310, Time  0.231644
2021-09-15 06:47:30.241816 : Epoch 10, Batch    760, Loss  0.604187, Average Loss  0.601293, Time  0.231171
2021-09-15 06:47:31.650065 : Epoch  2, Batch   1028, Loss  0.884013, Average Loss  0.871920, Time  0.264712
2021-09-15 06:47:31.811580 : Epoch 10, Batch    761, Loss  0.603723, Average Loss  0.601301, Time  0.232231
2021-09-15 06:47:33.354203 : Epoch 10, Batch    762, Loss  0.599761, Average Loss  0.601308, Time  0.231730
2021-09-15 06:47:34.651403 : Epoch  2, Batch   1029, Loss  0.889112, Average Loss  0.871963, Time  0.276703
2021-09-15 06:47:34.901747 : Epoch 10, Batch    763, Loss  0.610571, Average Loss  0.601311, Time  0.231952
2021-09-15 06:47:36.442478 : Epoch 10, Batch    764, Loss  0.594591, Average Loss  0.601245, Time  0.231123
2021-09-15 06:47:37.643122 : Epoch  2, Batch   1030, Loss  0.877007, Average Loss  0.872027, Time  0.265859
2021-09-15 06:47:37.984525 : Epoch 10, Batch    765, Loss  0.584070, Average Loss  0.601171, Time  0.231146
2021-09-15 06:47:39.526942 : Epoch 10, Batch    766, Loss  0.588399, Average Loss  0.601198, Time  0.231767
2021-09-15 06:47:40.641304 : Epoch  2, Batch   1031, Loss  0.883233, Average Loss  0.872035, Time  0.265032
2021-09-15 06:47:41.074452 : Epoch 10, Batch    767, Loss  0.598926, Average Loss  0.601140, Time  0.231867
2021-09-15 06:47:42.613018 : Epoch 10, Batch    768, Loss  0.606647, Average Loss  0.601146, Time  0.231484
2021-09-15 06:47:43.631095 : Epoch  2, Batch   1032, Loss  0.866537, Average Loss  0.872052, Time  0.264223
2021-09-15 06:47:44.166390 : Epoch 10, Batch    769, Loss  0.586068, Average Loss  0.601071, Time  0.231446
2021-09-15 06:47:45.719994 : Epoch 10, Batch    770, Loss  0.599920, Average Loss  0.601080, Time  0.231276
2021-09-15 06:47:46.645950 : Epoch  2, Batch   1033, Loss  0.887056, Average Loss  0.872153, Time  0.265141
2021-09-15 06:47:47.264411 : Epoch 10, Batch    771, Loss  0.611449, Average Loss  0.601105, Time  0.231579
2021-09-15 06:47:48.813890 : Epoch 10, Batch    772, Loss  0.603428, Average Loss  0.601101, Time  0.232936
2021-09-15 06:47:49.643436 : Epoch  2, Batch   1034, Loss  0.875616, Average Loss  0.872153, Time  0.264047
2021-09-15 06:47:50.355564 : Epoch 10, Batch    773, Loss  0.601677, Average Loss  0.601143, Time  0.231374
2021-09-15 06:47:51.901921 : Epoch 10, Batch    774, Loss  0.598478, Average Loss  0.601169, Time  0.231255
2021-09-15 06:47:52.643971 : Epoch  2, Batch   1035, Loss  0.869942, Average Loss  0.872195, Time  0.265053
2021-09-15 06:47:53.451405 : Epoch 10, Batch    775, Loss  0.601106, Average Loss  0.601211, Time  0.232601
2021-09-15 06:47:55.000870 : Epoch 10, Batch    776, Loss  0.602195, Average Loss  0.601194, Time  0.231374
2021-09-15 06:47:55.553703 : CheckPoint: Validation Loss  0.00025080, Best Loss  0.00024341
2021-09-15 06:47:55.645787 : Epoch  2, Batch   1036, Loss  0.868058, Average Loss  0.872193, Time  0.264502
2021-09-15 06:47:56.557276 : Epoch 10, Batch    777, Loss  0.603175, Average Loss  0.601185, Time  0.231534
2021-09-15 06:47:57.102010 : Epoch  9, Batch    605, Loss  0.616506, Average Loss  0.602060, Time  0.257818
2021-09-15 06:47:58.099946 : Epoch 10, Batch    778, Loss  0.604669, Average Loss  0.601229, Time  0.231151
2021-09-15 06:47:58.628047 : Epoch  9, Batch    606, Loss  0.613240, Average Loss  0.602105, Time  0.239962
2021-09-15 06:47:58.646196 : Epoch  2, Batch   1037, Loss  0.885931, Average Loss  0.872203, Time  0.264491
2021-09-15 06:47:59.652226 : Epoch 10, Batch    779, Loss  0.590703, Average Loss  0.601114, Time  0.231524
2021-09-15 06:48:00.234316 : Epoch  9, Batch    607, Loss  0.592197, Average Loss  0.602060, Time  0.244869
2021-09-15 06:48:01.205836 : Epoch 10, Batch    780, Loss  0.607026, Average Loss  0.601142, Time  0.231464
2021-09-15 06:48:01.667527 : Epoch  2, Batch   1038, Loss  0.881540, Average Loss  0.872146, Time  0.266484
2021-09-15 06:48:01.772806 : Epoch  9, Batch    608, Loss  0.594653, Average Loss  0.601997, Time  0.240408
2021-09-15 06:48:02.747997 : Epoch 10, Batch    781, Loss  0.603391, Average Loss  0.601170, Time  0.231175
2021-09-15 06:48:03.296359 : Epoch  9, Batch    609, Loss  0.595168, Average Loss  0.601968, Time  0.240711
2021-09-15 06:48:04.318905 : Epoch 10, Batch    782, Loss  0.596487, Average Loss  0.601170, Time  0.231880
2021-09-15 06:48:04.681565 : Epoch  2, Batch   1039, Loss  0.870048, Average Loss  0.872013, Time  0.264577
2021-09-15 06:48:04.837992 : Epoch  9, Batch    610, Loss  0.600246, Average Loss  0.601982, Time  0.241042
2021-09-15 06:48:05.870968 : Epoch 10, Batch    783, Loss  0.598487, Average Loss  0.601184, Time  0.231975
2021-09-15 06:48:06.377506 : Epoch  9, Batch    611, Loss  0.592074, Average Loss  0.601922, Time  0.239580
2021-09-15 06:48:07.423215 : Epoch 10, Batch    784, Loss  0.602917, Average Loss  0.601147, Time  0.232623
2021-09-15 06:48:07.672772 : Epoch  2, Batch   1040, Loss  0.853783, Average Loss  0.871919, Time  0.266205
2021-09-15 06:48:07.962290 : Epoch  9, Batch    612, Loss  0.598646, Average Loss  0.601830, Time  0.239336
2021-09-15 06:48:08.975426 : Epoch 10, Batch    785, Loss  0.606317, Average Loss  0.601164, Time  0.231281
2021-09-15 06:48:09.511926 : Epoch  9, Batch    613, Loss  0.598970, Average Loss  0.601763, Time  0.239045
2021-09-15 06:48:10.551605 : Epoch 10, Batch    786, Loss  0.598722, Average Loss  0.601148, Time  0.231287
2021-09-15 06:48:10.664174 : Epoch  2, Batch   1041, Loss  0.888455, Average Loss  0.871987, Time  0.267006
2021-09-15 06:48:11.066645 : Epoch  9, Batch    614, Loss  0.606427, Average Loss  0.601809, Time  0.237631
2021-09-15 06:48:12.101807 : Epoch 10, Batch    787, Loss  0.612676, Average Loss  0.601224, Time  0.232495
2021-09-15 06:48:12.131760 : Saving Model after 10-th Epoch.
2021-09-15 06:48:12.610741 : Epoch  9, Batch    615, Loss  0.606612, Average Loss  0.601820, Time  0.238202
2021-09-15 06:48:13.649400 : Epoch  2, Batch   1042, Loss  0.872716, Average Loss  0.871986, Time  0.264757
2021-09-15 06:48:14.183105 : Epoch  9, Batch    616, Loss  0.590946, Average Loss  0.601748, Time  0.240561
2021-09-15 06:48:15.358804 : Epoch Finished.
2021-09-15 06:48:15.886043 : Epoch  9, Batch    617, Loss  0.610713, Average Loss  0.601795, Time  0.260237
2021-09-15 06:48:16.669803 : Epoch  2, Batch   1043, Loss  0.851368, Average Loss  0.871787, Time  0.265511
2021-09-15 06:48:17.583849 : Epoch  9, Batch    618, Loss  0.605407, Average Loss  0.601793, Time  0.261136
2021-09-15 06:48:19.295956 : Epoch  9, Batch    619, Loss  0.610872, Average Loss  0.601835, Time  0.262010
2021-09-15 06:48:19.711454 : Epoch  2, Batch   1044, Loss  0.847650, Average Loss  0.871710, Time  0.280199
2021-09-15 06:48:20.994902 : Epoch  9, Batch    620, Loss  0.602043, Average Loss  0.601866, Time  0.259819
2021-09-15 06:48:22.697181 : Epoch  9, Batch    621, Loss  0.607106, Average Loss  0.601830, Time  0.260795
2021-09-15 06:48:24.237116 : Epoch  9, Batch    622, Loss  0.609755, Average Loss  0.601865, Time  0.239597
2021-09-15 06:48:25.793835 : Epoch  9, Batch    623, Loss  0.598107, Average Loss  0.601870, Time  0.243239
2021-09-15 06:48:27.341890 : Epoch  9, Batch    624, Loss  0.598946, Average Loss  0.601843, Time  0.241517
2021-09-15 06:48:28.861338 : Epoch  9, Batch    625, Loss  0.606203, Average Loss  0.601900, Time  0.240209
2021-09-15 06:48:30.380769 : Epoch  9, Batch    626, Loss  0.596766, Average Loss  0.601856, Time  0.238136
2021-09-15 06:48:31.907385 : Epoch  9, Batch    627, Loss  0.598327, Average Loss  0.601884, Time  0.238976
2021-09-15 06:48:33.443026 : Epoch  9, Batch    628, Loss  0.590971, Average Loss  0.601868, Time  0.239232
2021-09-15 06:48:34.963032 : Epoch  9, Batch    629, Loss  0.591250, Average Loss  0.601804, Time  0.240238
2021-09-15 06:48:36.484947 : Epoch  9, Batch    630, Loss  0.607155, Average Loss  0.601826, Time  0.239715
2021-09-15 06:48:38.002825 : Epoch  9, Batch    631, Loss  0.598140, Average Loss  0.601882, Time  0.240678
2021-09-15 06:48:39.522761 : Epoch  9, Batch    632, Loss  0.619027, Average Loss  0.601999, Time  0.240999
2021-09-15 06:48:41.039732 : Epoch  9, Batch    633, Loss  0.594182, Average Loss  0.601936, Time  0.240148
2021-09-15 06:48:42.549318 : Epoch  9, Batch    634, Loss  0.599232, Average Loss  0.601917, Time  0.240559
2021-09-15 06:48:44.252331 : Epoch  9, Batch    635, Loss  0.600273, Average Loss  0.601938, Time  0.260253
2021-09-15 06:48:45.941808 : Epoch  9, Batch    636, Loss  0.610930, Average Loss  0.601965, Time  0.258405
2021-09-15 06:48:47.494998 : Epoch  9, Batch    637, Loss  0.596954, Average Loss  0.601969, Time  0.237220
2021-09-15 06:48:49.056829 : Epoch  9, Batch    638, Loss  0.608627, Average Loss  0.601963, Time  0.241696
2021-09-15 06:48:50.590619 : Epoch  9, Batch    639, Loss  0.607354, Average Loss  0.602063, Time  0.240176
2021-09-15 06:48:52.275419 : Epoch  9, Batch    640, Loss  0.603440, Average Loss  0.602087, Time  0.258331
2021-09-15 06:48:53.956813 : Epoch  9, Batch    641, Loss  0.600002, Average Loss  0.602079, Time  0.258353
2021-09-15 06:48:55.498951 : Epoch  9, Batch    642, Loss  0.593327, Average Loss  0.602087, Time  0.240729
2021-09-15 06:48:57.029505 : Epoch  9, Batch    643, Loss  0.590752, Average Loss  0.602038, Time  0.239168
2021-09-15 06:48:58.551909 : Epoch  9, Batch    644, Loss  0.602402, Average Loss  0.602042, Time  0.238690
2021-09-15 06:49:00.077090 : Epoch  9, Batch    645, Loss  0.595821, Average Loss  0.601988, Time  0.238648
2021-09-15 06:49:01.600975 : Epoch  9, Batch    646, Loss  0.600248, Average Loss  0.602000, Time  0.240075
2021-09-15 06:49:03.139797 : Epoch  9, Batch    647, Loss  0.602448, Average Loss  0.602034, Time  0.241050
2021-09-15 06:49:04.683324 : Epoch  9, Batch    648, Loss  0.597594, Average Loss  0.601982, Time  0.238844
2021-09-15 06:49:06.365881 : Epoch  9, Batch    649, Loss  0.596603, Average Loss  0.601904, Time  0.257845
2021-09-15 06:49:08.045033 : Epoch  9, Batch    650, Loss  0.611827, Average Loss  0.601917, Time  0.260119
2021-09-15 06:49:09.586871 : Epoch  9, Batch    651, Loss  0.598949, Average Loss  0.601911, Time  0.242806
2021-09-15 06:49:11.117927 : Epoch  9, Batch    652, Loss  0.595099, Average Loss  0.601925, Time  0.242463
2021-09-15 06:49:12.639858 : Epoch  9, Batch    653, Loss  0.598555, Average Loss  0.601905, Time  0.239864
2021-09-15 06:49:14.165342 : Epoch  9, Batch    654, Loss  0.608502, Average Loss  0.601956, Time  0.241006
2021-09-15 06:49:15.688763 : Epoch  9, Batch    655, Loss  0.597336, Average Loss  0.601999, Time  0.240819
2021-09-15 06:49:17.227384 : Epoch  9, Batch    656, Loss  0.605587, Average Loss  0.602048, Time  0.241177
2021-09-15 06:49:17.375788 : Epoch  9, Batch    657, Loss  0.733554, Average Loss  0.602727, Time  0.099632
2021-09-15 06:49:18.904121 : Epoch  9, Batch    658, Loss  0.604011, Average Loss  0.602763, Time  0.242071
2021-09-15 06:49:20.430367 : Epoch  9, Batch    659, Loss  0.602149, Average Loss  0.602690, Time  0.240307
2021-09-15 06:49:21.949907 : Epoch  9, Batch    660, Loss  0.605673, Average Loss  0.602705, Time  0.241387
2021-09-15 06:49:23.475970 : Epoch  9, Batch    661, Loss  0.594608, Average Loss  0.602667, Time  0.241161
2021-09-15 06:49:25.006375 : Epoch  9, Batch    662, Loss  0.600895, Average Loss  0.602669, Time  0.239361
2021-09-15 06:49:26.543016 : Epoch  9, Batch    663, Loss  0.600700, Average Loss  0.602661, Time  0.241250
2021-09-15 06:49:28.067917 : Epoch  9, Batch    664, Loss  0.605517, Average Loss  0.602673, Time  0.239508
2021-09-15 06:49:29.602059 : Epoch  9, Batch    665, Loss  0.584860, Average Loss  0.602570, Time  0.240715
2021-09-15 06:49:31.131338 : Epoch  9, Batch    666, Loss  0.606968, Average Loss  0.602573, Time  0.240163
2021-09-15 06:49:32.650756 : Epoch  9, Batch    667, Loss  0.611838, Average Loss  0.602653, Time  0.240468
2021-09-15 06:49:34.177359 : Epoch  9, Batch    668, Loss  0.611268, Average Loss  0.602694, Time  0.240251
2021-09-15 06:49:35.696843 : Epoch  9, Batch    669, Loss  0.601655, Average Loss  0.602713, Time  0.238261
2021-09-15 06:49:37.222344 : Epoch  9, Batch    670, Loss  0.595747, Average Loss  0.602644, Time  0.240439
2021-09-15 06:49:38.748372 : Epoch  9, Batch    671, Loss  0.607195, Average Loss  0.602676, Time  0.240658
2021-09-15 06:49:40.263844 : Epoch  9, Batch    672, Loss  0.596899, Average Loss  0.602699, Time  0.237696
2021-09-15 06:49:41.791113 : Epoch  9, Batch    673, Loss  0.596402, Average Loss  0.602629, Time  0.240104
2021-09-15 06:49:43.316018 : Epoch  9, Batch    674, Loss  0.594861, Average Loss  0.602602, Time  0.239847
2021-09-15 06:49:44.840357 : Epoch  9, Batch    675, Loss  0.589565, Average Loss  0.602568, Time  0.240163
2021-09-15 06:49:48.702052 : Epoch  9, Batch    676, Loss  0.603193, Average Loss  0.602572, Time  0.269523
2021-09-15 06:49:50.269059 : Epoch  9, Batch    677, Loss  0.608270, Average Loss  0.602575, Time  0.244569
2021-09-15 06:49:51.815848 : Epoch  9, Batch    678, Loss  0.606735, Average Loss  0.602589, Time  0.241297
2021-09-15 06:49:53.350924 : Epoch  9, Batch    679, Loss  0.603774, Average Loss  0.602588, Time  0.241221
2021-09-15 06:49:54.942974 : Epoch  9, Batch    680, Loss  0.614514, Average Loss  0.602672, Time  0.240702
2021-09-15 06:49:56.472397 : Epoch  9, Batch    681, Loss  0.595070, Average Loss  0.602619, Time  0.239209
2021-09-15 06:49:58.042732 : Epoch  9, Batch    682, Loss  0.600027, Average Loss  0.602600, Time  0.247990
2021-09-15 06:49:59.620942 : Epoch  9, Batch    683, Loss  0.593175, Average Loss  0.602636, Time  0.240849
2021-09-15 06:50:01.160479 : Epoch  9, Batch    684, Loss  0.595568, Average Loss  0.602587, Time  0.237502
2021-09-15 06:50:02.846950 : Epoch  9, Batch    685, Loss  0.606287, Average Loss  0.602586, Time  0.259977
2021-09-15 06:50:04.378166 : Epoch  9, Batch    686, Loss  0.600601, Average Loss  0.602573, Time  0.238757
2021-09-15 06:50:05.917935 : Epoch  9, Batch    687, Loss  0.593591, Average Loss  0.602534, Time  0.238886
2021-09-15 06:50:07.448388 : Epoch  9, Batch    688, Loss  0.601352, Average Loss  0.602581, Time  0.240107
2021-09-15 06:50:09.150113 : Epoch  9, Batch    689, Loss  0.599722, Average Loss  0.602538, Time  0.259405
2021-09-15 06:50:10.684186 : Epoch  9, Batch    690, Loss  0.608957, Average Loss  0.602639, Time  0.238720
2021-09-15 06:50:12.213070 : Epoch  9, Batch    691, Loss  0.611087, Average Loss  0.602712, Time  0.239846
2021-09-15 06:50:13.742342 : Epoch  9, Batch    692, Loss  0.617127, Average Loss  0.602806, Time  0.241191
2021-09-15 06:50:15.290164 : Epoch  9, Batch    693, Loss  0.603110, Average Loss  0.602780, Time  0.244849
2021-09-15 06:50:16.829407 : Epoch  9, Batch    694, Loss  0.596347, Average Loss  0.602794, Time  0.242584
2021-09-15 06:50:18.378648 : Epoch  9, Batch    695, Loss  0.605678, Average Loss  0.602824, Time  0.239777
2021-09-15 06:50:19.909409 : Epoch  9, Batch    696, Loss  0.593125, Average Loss  0.602706, Time  0.238523
2021-09-15 06:50:21.432763 : Epoch  9, Batch    697, Loss  0.598522, Average Loss  0.602662, Time  0.240357
2021-09-15 06:50:22.962827 : Epoch  9, Batch    698, Loss  0.590812, Average Loss  0.602630, Time  0.241154
2021-09-15 06:50:24.515923 : Epoch  9, Batch    699, Loss  0.591914, Average Loss  0.602549, Time  0.240001
2021-09-15 06:50:26.042970 : Epoch  9, Batch    700, Loss  0.612342, Average Loss  0.602623, Time  0.238408
2021-09-15 06:50:27.572823 : Epoch  9, Batch    701, Loss  0.614418, Average Loss  0.602646, Time  0.238531
2021-09-15 06:50:29.097957 : Epoch  9, Batch    702, Loss  0.604809, Average Loss  0.602652, Time  0.239335
2021-09-15 06:50:30.638428 : Epoch  9, Batch    703, Loss  0.601319, Average Loss  0.602634, Time  0.238544
2021-09-15 06:50:34.493381 : Epoch  9, Batch    704, Loss  0.605136, Average Loss  0.602620, Time  0.273849
2021-09-15 06:51:30.719466 : CheckPoint: Validation Loss  0.00024888, Best Loss  0.00024341
2021-09-15 06:51:32.275874 : Epoch  9, Batch    705, Loss  0.608060, Average Loss  0.602614, Time  0.276268
2021-09-15 06:51:33.811839 : Epoch  9, Batch    706, Loss  0.611918, Average Loss  0.602690, Time  0.256638
2021-09-15 06:51:35.343793 : Epoch  9, Batch    707, Loss  0.613328, Average Loss  0.602684, Time  0.242320
2021-09-15 06:51:36.891196 : Epoch  9, Batch    708, Loss  0.605037, Average Loss  0.602657, Time  0.240009
2021-09-15 06:51:38.416778 : Epoch  9, Batch    709, Loss  0.597647, Average Loss  0.602683, Time  0.240059
2021-09-15 06:51:39.938258 : Epoch  9, Batch    710, Loss  0.589811, Average Loss  0.602674, Time  0.238322
2021-09-15 06:51:41.464857 : Epoch  9, Batch    711, Loss  0.609578, Average Loss  0.602663, Time  0.240620
2021-09-15 06:51:42.987989 : Epoch  9, Batch    712, Loss  0.588842, Average Loss  0.602611, Time  0.239682
2021-09-15 06:51:44.511025 : Epoch  9, Batch    713, Loss  0.606455, Average Loss  0.602659, Time  0.239531
2021-09-15 06:51:46.074075 : Epoch  9, Batch    714, Loss  0.597000, Average Loss  0.602590, Time  0.242143
2021-09-15 06:51:47.598828 : Epoch  9, Batch    715, Loss  0.615172, Average Loss  0.602655, Time  0.240134
2021-09-15 06:51:49.127780 : Epoch  9, Batch    716, Loss  0.602764, Average Loss  0.602655, Time  0.240638
2021-09-15 06:51:50.650822 : Epoch  9, Batch    717, Loss  0.602597, Average Loss  0.602658, Time  0.238747
2021-09-15 06:51:52.170211 : Epoch  9, Batch    718, Loss  0.590971, Average Loss  0.602596, Time  0.238013
2021-09-15 06:51:53.698075 : Epoch  9, Batch    719, Loss  0.601832, Average Loss  0.602618, Time  0.238251
2021-09-15 06:51:55.228769 : Epoch  9, Batch    720, Loss  0.604863, Average Loss  0.602666, Time  0.242045
2021-09-15 06:51:56.775159 : Epoch  9, Batch    721, Loss  0.610958, Average Loss  0.602653, Time  0.244257
2021-09-15 06:51:58.307836 : Epoch  9, Batch    722, Loss  0.599390, Average Loss  0.602675, Time  0.240426
2021-09-15 06:51:59.840999 : Epoch  9, Batch    723, Loss  0.607863, Average Loss  0.602684, Time  0.240965
2021-09-15 06:52:01.380890 : Epoch  9, Batch    724, Loss  0.593337, Average Loss  0.602661, Time  0.238750
2021-09-15 06:52:02.918825 : Epoch  9, Batch    725, Loss  0.600686, Average Loss  0.602611, Time  0.239267
2021-09-15 06:52:04.444415 : Epoch  9, Batch    726, Loss  0.605589, Average Loss  0.602611, Time  0.241009
2021-09-15 06:52:05.979476 : Epoch  9, Batch    727, Loss  0.601578, Average Loss  0.602681, Time  0.239669
2021-09-15 06:52:07.503336 : Epoch  9, Batch    728, Loss  0.589563, Average Loss  0.602598, Time  0.239609
2021-09-15 06:52:09.030788 : Epoch  9, Batch    729, Loss  0.603820, Average Loss  0.602624, Time  0.240361
2021-09-15 06:52:10.580426 : Epoch  9, Batch    730, Loss  0.600514, Average Loss  0.602586, Time  0.241617
2021-09-15 06:52:12.113888 : Epoch  9, Batch    731, Loss  0.609132, Average Loss  0.602626, Time  0.241774
2021-09-15 06:52:13.653119 : Epoch  9, Batch    732, Loss  0.602942, Average Loss  0.602590, Time  0.241399
2021-09-15 06:52:15.196006 : Epoch  9, Batch    733, Loss  0.602996, Average Loss  0.602551, Time  0.243218
2021-09-15 06:52:16.720225 : Epoch  9, Batch    734, Loss  0.604469, Average Loss  0.602571, Time  0.239176
2021-09-15 06:52:18.271899 : Epoch  9, Batch    735, Loss  0.588397, Average Loss  0.602435, Time  0.242158
2021-09-15 06:52:19.802426 : Epoch  9, Batch    736, Loss  0.604002, Average Loss  0.602469, Time  0.240191
2021-09-15 06:52:21.329960 : Epoch  9, Batch    737, Loss  0.594272, Average Loss  0.602479, Time  0.240703
2021-09-15 06:52:22.879974 : Epoch  9, Batch    738, Loss  0.597307, Average Loss  0.602521, Time  0.256769
2021-09-15 06:52:24.575919 : Epoch  9, Batch    739, Loss  0.599601, Average Loss  0.602443, Time  0.262193
2021-09-15 06:52:26.274078 : Epoch  9, Batch    740, Loss  0.601450, Average Loss  0.602483, Time  0.260915
2021-09-15 06:52:27.961917 : Epoch  9, Batch    741, Loss  0.605930, Average Loss  0.602464, Time  0.259348
2021-09-15 06:52:29.649051 : Epoch  9, Batch    742, Loss  0.617947, Average Loss  0.602539, Time  0.258603
2021-09-15 06:52:31.361468 : Epoch  9, Batch    743, Loss  0.609434, Average Loss  0.602622, Time  0.260074
2021-09-15 06:52:33.058345 : Epoch  9, Batch    744, Loss  0.598317, Average Loss  0.602596, Time  0.259511
2021-09-15 06:52:34.654105 : Epoch  9, Batch    745, Loss  0.601525, Average Loss  0.602641, Time  0.239755
2021-09-15 06:52:36.219061 : Epoch  9, Batch    746, Loss  0.607394, Average Loss  0.602734, Time  0.237417
2021-09-15 06:52:37.763360 : Epoch  9, Batch    747, Loss  0.601878, Average Loss  0.602725, Time  0.240539
2021-09-15 06:52:39.312134 : Epoch  9, Batch    748, Loss  0.598968, Average Loss  0.602739, Time  0.242900
2021-09-15 06:52:40.843941 : Epoch  9, Batch    749, Loss  0.612355, Average Loss  0.602765, Time  0.240114
2021-09-15 06:52:42.370396 : Epoch  9, Batch    750, Loss  0.597101, Average Loss  0.602762, Time  0.238375
2021-09-15 06:52:43.921967 : Epoch  9, Batch    751, Loss  0.602744, Average Loss  0.602843, Time  0.242368
2021-09-15 06:52:45.461440 : Epoch  9, Batch    752, Loss  0.610578, Average Loss  0.602886, Time  0.239369
2021-09-15 06:52:46.985419 : Epoch  9, Batch    753, Loss  0.599977, Average Loss  0.602912, Time  0.238183
2021-09-15 06:52:48.514524 : Epoch  9, Batch    754, Loss  0.608059, Average Loss  0.603013, Time  0.241110
2021-09-15 06:52:50.053292 : Epoch  9, Batch    755, Loss  0.607936, Average Loss  0.603038, Time  0.242466
2021-09-15 06:52:51.601942 : Epoch  9, Batch    756, Loss  0.600347, Average Loss  0.603038, Time  0.240185
2021-09-15 06:52:53.127769 : Epoch  9, Batch    757, Loss  0.597298, Average Loss  0.603035, Time  0.242208
2021-09-15 06:52:54.660359 : Epoch  9, Batch    758, Loss  0.604456, Average Loss  0.602986, Time  0.240162
2021-09-15 06:52:56.208821 : Epoch  9, Batch    759, Loss  0.598614, Average Loss  0.603012, Time  0.240933
2021-09-15 06:52:57.915949 : Epoch  9, Batch    760, Loss  0.602231, Average Loss  0.603018, Time  0.261300
2021-09-15 06:52:59.601988 : Epoch  9, Batch    761, Loss  0.602764, Average Loss  0.603071, Time  0.259870
2021-09-15 06:53:01.290415 : Epoch  9, Batch    762, Loss  0.601034, Average Loss  0.603085, Time  0.259648
2021-09-15 06:53:02.979796 : Epoch  9, Batch    763, Loss  0.596606, Average Loss  0.603027, Time  0.260535
2021-09-15 06:53:03.006969 : CheckPoint: Validation Loss  0.00030579, Best Loss  0.00029571
2021-09-15 06:53:04.681918 : Epoch  9, Batch    764, Loss  0.599169, Average Loss  0.602968, Time  0.261788
2021-09-15 06:53:06.007779 : Epoch  2, Batch   1045, Loss  0.876741, Average Loss  0.871623, Time  0.266196
2021-09-15 06:53:06.375090 : Epoch  9, Batch    765, Loss  0.597825, Average Loss  0.602904, Time  0.260268
2021-09-15 06:53:08.037916 : Epoch  9, Batch    766, Loss  0.606169, Average Loss  0.602975, Time  0.241155
2021-09-15 06:53:09.034973 : Epoch  2, Batch   1046, Loss  0.877746, Average Loss  0.871564, Time  0.264742
2021-09-15 06:53:09.572035 : Epoch  9, Batch    767, Loss  0.601921, Average Loss  0.602962, Time  0.241731
2021-09-15 06:53:11.102331 : Epoch  9, Batch    768, Loss  0.595385, Average Loss  0.602949, Time  0.240822
2021-09-15 06:53:12.038658 : Epoch  2, Batch   1047, Loss  0.863882, Average Loss  0.871511, Time  0.264572
2021-09-15 06:53:12.664478 : Epoch  9, Batch    769, Loss  0.594249, Average Loss  0.602921, Time  0.240270
2021-09-15 06:53:14.194843 : Epoch  9, Batch    770, Loss  0.589511, Average Loss  0.602880, Time  0.239434
2021-09-15 06:53:15.035859 : Epoch  2, Batch   1048, Loss  0.856191, Average Loss  0.871521, Time  0.264628
2021-09-15 06:53:15.725810 : Epoch  9, Batch    771, Loss  0.600421, Average Loss  0.602878, Time  0.240960
2021-09-15 06:53:17.270004 : Epoch  9, Batch    772, Loss  0.606289, Average Loss  0.602904, Time  0.239443
2021-09-15 06:53:18.049104 : Epoch  2, Batch   1049, Loss  0.857968, Average Loss  0.871560, Time  0.265225
2021-09-15 06:53:18.818489 : Epoch  9, Batch    773, Loss  0.609873, Average Loss  0.602965, Time  0.241273
2021-09-15 06:53:20.350391 : Epoch  9, Batch    774, Loss  0.610585, Average Loss  0.603005, Time  0.241121
2021-09-15 06:53:21.088161 : Epoch  2, Batch   1050, Loss  0.870400, Average Loss  0.871571, Time  0.264515
2021-09-15 06:53:24.083537 : Epoch  2, Batch   1051, Loss  0.889066, Average Loss  0.871585, Time  0.265177
2021-09-15 06:53:24.219050 : Epoch  9, Batch    775, Loss  0.599243, Average Loss  0.603026, Time  0.267445
2021-09-15 06:53:25.746341 : Epoch  9, Batch    776, Loss  0.592335, Average Loss  0.602955, Time  0.246542
2021-09-15 06:53:27.078364 : Epoch  2, Batch   1052, Loss  0.875464, Average Loss  0.871568, Time  0.264548
2021-09-15 06:53:27.279909 : Epoch  9, Batch    777, Loss  0.602623, Average Loss  0.602955, Time  0.239032
2021-09-15 06:53:28.807999 : Epoch  9, Batch    778, Loss  0.609819, Average Loss  0.603019, Time  0.238750
2021-09-15 06:53:30.091449 : Epoch  2, Batch   1053, Loss  0.868865, Average Loss  0.871633, Time  0.264678
2021-09-15 06:53:30.344021 : Epoch  9, Batch    779, Loss  0.589892, Average Loss  0.602942, Time  0.240791
2021-09-15 06:53:31.874365 : Epoch  9, Batch    780, Loss  0.593587, Average Loss  0.602936, Time  0.240994
2021-09-15 06:53:33.111800 : Epoch  2, Batch   1054, Loss  0.879845, Average Loss  0.871716, Time  0.265635
2021-09-15 06:53:33.404792 : Epoch  9, Batch    781, Loss  0.592104, Average Loss  0.602888, Time  0.239650
2021-09-15 06:53:34.921982 : Epoch  9, Batch    782, Loss  0.603831, Average Loss  0.602900, Time  0.239154
2021-09-15 06:53:36.131942 : Epoch  2, Batch   1055, Loss  0.864217, Average Loss  0.871705, Time  0.264771
2021-09-15 06:53:36.462885 : Epoch  9, Batch    783, Loss  0.598426, Average Loss  0.602883, Time  0.240071
2021-09-15 06:53:37.985781 : Epoch  9, Batch    784, Loss  0.601091, Average Loss  0.602878, Time  0.238623
2021-09-15 06:53:39.159141 : Epoch  2, Batch   1056, Loss  0.898410, Average Loss  0.871815, Time  0.275760
2021-09-15 06:53:39.510891 : Epoch  9, Batch    785, Loss  0.612011, Average Loss  0.602864, Time  0.238240
2021-09-15 06:53:41.037341 : Epoch  9, Batch    786, Loss  0.601242, Average Loss  0.602851, Time  0.240193
2021-09-15 06:53:42.167681 : Epoch  2, Batch   1057, Loss  0.892606, Average Loss  0.871981, Time  0.265312
2021-09-15 06:53:42.574811 : Epoch  9, Batch    787, Loss  0.608418, Average Loss  0.602855, Time  0.239547
2021-09-15 06:53:42.607828 : Saving Model after 9-th Epoch.
2021-09-15 06:53:43.559607 : Epoch Finished.
2021-09-15 06:53:45.170650 : Epoch  2, Batch   1058, Loss  0.879252, Average Loss  0.872081, Time  0.266041
2021-09-15 06:53:45.966618 : Batch Shuffled
2021-09-15 06:53:47.641946 : Epoch 10, Batch      1, Loss  0.614671, Average Loss  0.602905, Time  0.259792
2021-09-15 06:53:48.171289 : Epoch  2, Batch   1059, Loss  0.877336, Average Loss  0.872099, Time  0.266005
2021-09-15 06:53:49.322938 : Epoch 10, Batch      2, Loss  0.602566, Average Loss  0.602851, Time  0.260151
2021-09-15 06:53:51.028462 : Epoch 10, Batch      3, Loss  0.581167, Average Loss  0.602756, Time  0.262350
2021-09-15 06:53:51.176527 : Epoch  2, Batch   1060, Loss  0.877926, Average Loss  0.872174, Time  0.265514
2021-09-15 06:53:52.707980 : Epoch 10, Batch      4, Loss  0.594271, Average Loss  0.602702, Time  0.257957
2021-09-15 06:53:54.172529 : Epoch  2, Batch   1061, Loss  0.857199, Average Loss  0.872047, Time  0.265162
2021-09-15 06:53:54.378972 : Epoch 10, Batch      5, Loss  0.605510, Average Loss  0.602708, Time  0.257509
2021-09-15 06:53:56.049896 : Epoch 10, Batch      6, Loss  0.606811, Average Loss  0.602725, Time  0.260242
2021-09-15 06:53:57.178130 : Epoch  2, Batch   1062, Loss  0.889633, Average Loss  0.872105, Time  0.265725
2021-09-15 06:53:57.728832 : Epoch 10, Batch      7, Loss  0.617337, Average Loss  0.602832, Time  0.258045
2021-09-15 06:53:59.410033 : Epoch 10, Batch      8, Loss  0.598547, Average Loss  0.602830, Time  0.258028
2021-09-15 06:54:00.197217 : Epoch  2, Batch   1063, Loss  0.867177, Average Loss  0.872055, Time  0.264619
2021-09-15 06:54:01.098474 : Epoch 10, Batch      9, Loss  0.603333, Average Loss  0.602812, Time  0.259718
2021-09-15 06:54:02.781788 : Epoch 10, Batch     10, Loss  0.600296, Average Loss  0.602713, Time  0.260326
2021-09-15 06:54:03.205010 : Epoch  2, Batch   1064, Loss  0.863193, Average Loss  0.871985, Time  0.265482
2021-09-15 06:54:04.471955 : Epoch 10, Batch     11, Loss  0.613443, Average Loss  0.602688, Time  0.258059
2021-09-15 06:54:06.153394 : Epoch 10, Batch     12, Loss  0.600554, Average Loss  0.602650, Time  0.260488
2021-09-15 06:54:06.229696 : Epoch  2, Batch   1065, Loss  0.878174, Average Loss  0.872019, Time  0.264785
2021-09-15 06:54:07.674031 : Epoch 10, Batch     13, Loss  0.606883, Average Loss  0.602542, Time  0.239049
2021-09-15 06:54:09.207407 : Epoch 10, Batch     14, Loss  0.605201, Average Loss  0.602539, Time  0.239073
2021-09-15 06:54:09.235143 : Epoch  2, Batch   1066, Loss  0.879868, Average Loss  0.872047, Time  0.264506
2021-09-15 06:54:10.738834 : Epoch 10, Batch     15, Loss  0.608947, Average Loss  0.602616, Time  0.241382
2021-09-15 06:54:12.250800 : Epoch  2, Batch   1067, Loss  0.885382, Average Loss  0.872151, Time  0.264671
2021-09-15 06:54:12.268807 : Epoch 10, Batch     16, Loss  0.605126, Average Loss  0.602617, Time  0.240223
2021-09-15 06:54:13.811113 : Epoch 10, Batch     17, Loss  0.605585, Average Loss  0.602635, Time  0.241312
2021-09-15 06:54:15.282203 : Epoch  2, Batch   1068, Loss  0.882622, Average Loss  0.872197, Time  0.265846
2021-09-15 06:54:18.273410 : Epoch  2, Batch   1069, Loss  0.838247, Average Loss  0.872128, Time  0.264703
2021-09-15 06:54:21.271904 : Epoch  2, Batch   1070, Loss  0.872977, Average Loss  0.872122, Time  0.264916
2021-09-15 06:54:24.273847 : Epoch  2, Batch   1071, Loss  0.862027, Average Loss  0.872081, Time  0.274998
2021-09-15 06:54:27.271029 : Epoch  2, Batch   1072, Loss  0.867260, Average Loss  0.871913, Time  0.265218
2021-09-15 06:54:30.284650 : Epoch  2, Batch   1073, Loss  0.874463, Average Loss  0.871915, Time  0.265104
2021-09-15 06:54:33.279416 : Epoch  2, Batch   1074, Loss  0.863063, Average Loss  0.871874, Time  0.265037
2021-09-15 06:54:36.274756 : Epoch  2, Batch   1075, Loss  0.882242, Average Loss  0.871988, Time  0.264321
2021-09-15 06:54:39.272957 : Epoch  2, Batch   1076, Loss  0.850304, Average Loss  0.871912, Time  0.263700
2021-09-15 06:54:42.261249 : Epoch  2, Batch   1077, Loss  0.859279, Average Loss  0.871862, Time  0.265299
2021-09-15 06:54:45.262938 : Epoch  2, Batch   1078, Loss  0.871219, Average Loss  0.871967, Time  0.266762
2021-09-15 06:54:48.263132 : Epoch  2, Batch   1079, Loss  0.857003, Average Loss  0.871973, Time  0.265166
2021-09-15 06:54:51.289217 : Epoch  2, Batch   1080, Loss  0.885762, Average Loss  0.872099, Time  0.264814
2021-09-15 06:54:54.321118 : Epoch  2, Batch   1081, Loss  0.885826, Average Loss  0.872144, Time  0.265447
2021-09-15 06:54:57.336635 : Epoch  2, Batch   1082, Loss  0.864432, Average Loss  0.872122, Time  0.264668
2021-09-15 06:55:00.342546 : Epoch  2, Batch   1083, Loss  0.892884, Average Loss  0.872238, Time  0.265476
2021-09-15 06:55:03.356241 : Epoch  2, Batch   1084, Loss  0.860192, Average Loss  0.872139, Time  0.265347
2021-09-15 06:55:06.358558 : Epoch  2, Batch   1085, Loss  0.850963, Average Loss  0.871912, Time  0.265844
2021-09-15 06:55:09.426666 : Epoch  2, Batch   1086, Loss  0.880452, Average Loss  0.872006, Time  0.277362
2021-09-15 06:55:10.384704 : CheckPoint: Validation Loss  0.00024933, Best Loss  0.00024341
2021-09-15 06:55:11.907017 : Epoch 10, Batch     18, Loss  0.614199, Average Loss  0.602623, Time  0.241083
2021-09-15 06:55:12.432976 : Epoch  2, Batch   1087, Loss  0.877760, Average Loss  0.872090, Time  0.266382
2021-09-15 06:55:13.421959 : Epoch 10, Batch     19, Loss  0.600246, Average Loss  0.602558, Time  0.237071
2021-09-15 06:55:14.941427 : Epoch 10, Batch     20, Loss  0.616116, Average Loss  0.602678, Time  0.236419
2021-09-15 06:55:15.426189 : Epoch  2, Batch   1088, Loss  0.858105, Average Loss  0.872031, Time  0.264649
2021-09-15 06:55:16.473888 : Epoch 10, Batch     21, Loss  0.603194, Average Loss  0.602721, Time  0.241201
2021-09-15 06:55:18.010104 : Epoch 10, Batch     22, Loss  0.600602, Average Loss  0.602748, Time  0.241472
2021-09-15 06:55:18.411280 : Epoch  2, Batch   1089, Loss  0.852399, Average Loss  0.872001, Time  0.265223
2021-09-15 06:55:19.553168 : Epoch 10, Batch     23, Loss  0.589603, Average Loss  0.602695, Time  0.240333
2021-09-15 06:55:21.124918 : Epoch 10, Batch     24, Loss  0.604198, Average Loss  0.602755, Time  0.240601
2021-09-15 06:55:21.416955 : Epoch  2, Batch   1090, Loss  0.871386, Average Loss  0.872117, Time  0.264447
2021-09-15 06:55:22.652598 : Epoch 10, Batch     25, Loss  0.605004, Average Loss  0.602787, Time  0.239104
2021-09-15 06:55:24.182887 : Epoch 10, Batch     26, Loss  0.598987, Average Loss  0.602787, Time  0.240986
2021-09-15 06:55:24.413971 : Epoch  2, Batch   1091, Loss  0.859769, Average Loss  0.872085, Time  0.264378
2021-09-15 06:55:25.726403 : Epoch 10, Batch     27, Loss  0.607622, Average Loss  0.602793, Time  0.240707
2021-09-15 06:55:27.249123 : Epoch 10, Batch     28, Loss  0.611560, Average Loss  0.602818, Time  0.239699
2021-09-15 06:55:27.511798 : Epoch  2, Batch   1092, Loss  0.873803, Average Loss  0.872106, Time  0.265288
2021-09-15 06:55:28.779383 : Epoch 10, Batch     29, Loss  0.605777, Average Loss  0.602892, Time  0.239135
2021-09-15 06:55:30.320093 : Epoch 10, Batch     30, Loss  0.606566, Average Loss  0.602871, Time  0.238866
2021-09-15 06:55:30.537943 : Epoch  2, Batch   1093, Loss  0.860758, Average Loss  0.872078, Time  0.265482
2021-09-15 06:55:31.850995 : Epoch 10, Batch     31, Loss  0.609208, Average Loss  0.602890, Time  0.241194
2021-09-15 06:55:33.382877 : Epoch 10, Batch     32, Loss  0.599162, Average Loss  0.602832, Time  0.242853
2021-09-15 06:55:33.530194 : Epoch  2, Batch   1094, Loss  0.872910, Average Loss  0.872070, Time  0.265659
2021-09-15 06:55:34.917185 : Epoch 10, Batch     33, Loss  0.593770, Average Loss  0.602790, Time  0.241249
2021-09-15 06:55:36.462005 : Epoch 10, Batch     34, Loss  0.596840, Average Loss  0.602739, Time  0.242221
2021-09-15 06:55:36.527283 : Epoch  2, Batch   1095, Loss  0.856566, Average Loss  0.871949, Time  0.264465
2021-09-15 06:55:37.982796 : Epoch 10, Batch     35, Loss  0.605866, Average Loss  0.602720, Time  0.242029
2021-09-15 06:55:39.506763 : Epoch 10, Batch     36, Loss  0.589318, Average Loss  0.602676, Time  0.240333
2021-09-15 06:55:39.548212 : Epoch  2, Batch   1096, Loss  0.880809, Average Loss  0.871930, Time  0.265482
2021-09-15 06:55:41.066359 : Epoch 10, Batch     37, Loss  0.605261, Average Loss  0.602707, Time  0.240474
2021-09-15 06:55:42.576482 : Epoch  2, Batch   1097, Loss  0.872639, Average Loss  0.871874, Time  0.267331
2021-09-15 06:55:42.604200 : Epoch 10, Batch     38, Loss  0.611224, Average Loss  0.602732, Time  0.242124
2021-09-15 06:55:44.127995 : Epoch 10, Batch     39, Loss  0.608748, Average Loss  0.602792, Time  0.239651
2021-09-15 06:55:45.574547 : Epoch  2, Batch   1098, Loss  0.876829, Average Loss  0.871893, Time  0.266389
2021-09-15 06:55:45.663760 : Epoch 10, Batch     40, Loss  0.602101, Average Loss  0.602811, Time  0.241191
2021-09-15 06:55:47.196362 : Epoch 10, Batch     41, Loss  0.604452, Average Loss  0.602878, Time  0.240865
2021-09-15 06:55:48.576600 : Epoch  2, Batch   1099, Loss  0.877000, Average Loss  0.872005, Time  0.264608
2021-09-15 06:55:48.735182 : Epoch 10, Batch     42, Loss  0.601863, Average Loss  0.602932, Time  0.241509
2021-09-15 06:55:50.406401 : Epoch 10, Batch     43, Loss  0.594745, Average Loss  0.602869, Time  0.257546
2021-09-15 06:55:51.616548 : Epoch  2, Batch   1100, Loss  0.848253, Average Loss  0.871899, Time  0.265621
2021-09-15 06:55:52.092034 : Epoch 10, Batch     44, Loss  0.610110, Average Loss  0.602929, Time  0.260312
2021-09-15 06:55:53.795010 : Epoch 10, Batch     45, Loss  0.606516, Average Loss  0.602867, Time  0.260788
2021-09-15 06:55:54.660267 : Epoch  2, Batch   1101, Loss  0.876436, Average Loss  0.871879, Time  0.277312
2021-09-15 06:55:55.459026 : Epoch 10, Batch     46, Loss  0.607089, Average Loss  0.602931, Time  0.239053
2021-09-15 06:55:56.988038 : Epoch 10, Batch     47, Loss  0.611989, Average Loss  0.602995, Time  0.239760
2021-09-15 06:55:57.671933 : Epoch  2, Batch   1102, Loss  0.854915, Average Loss  0.871695, Time  0.265219
2021-09-15 06:55:58.517836 : Epoch 10, Batch     48, Loss  0.605644, Average Loss  0.603022, Time  0.241398
2021-09-15 06:56:00.043199 : Epoch 10, Batch     49, Loss  0.611422, Average Loss  0.603024, Time  0.239917
2021-09-15 06:56:00.690856 : Epoch  2, Batch   1103, Loss  0.870662, Average Loss  0.871729, Time  0.265062
2021-09-15 06:56:01.572212 : Epoch 10, Batch     50, Loss  0.591841, Average Loss  0.602999, Time  0.239151
2021-09-15 06:56:03.113400 : Epoch 10, Batch     51, Loss  0.595099, Average Loss  0.602931, Time  0.241724
2021-09-15 06:56:03.705835 : Epoch  2, Batch   1104, Loss  0.850272, Average Loss  0.871476, Time  0.265245
2021-09-15 06:56:04.641372 : Epoch 10, Batch     52, Loss  0.603818, Average Loss  0.602914, Time  0.241388
2021-09-15 06:56:06.178416 : Epoch 10, Batch     53, Loss  0.605428, Average Loss  0.602923, Time  0.240454
2021-09-15 06:56:06.713050 : Epoch  2, Batch   1105, Loss  0.875102, Average Loss  0.871477, Time  0.264892
2021-09-15 06:56:07.697869 : Epoch 10, Batch     54, Loss  0.605818, Average Loss  0.602953, Time  0.241038
2021-09-15 06:56:09.214953 : Epoch 10, Batch     55, Loss  0.598465, Average Loss  0.602978, Time  0.239108
2021-09-15 06:56:09.732700 : Epoch  2, Batch   1106, Loss  0.851735, Average Loss  0.871326, Time  0.264278
2021-09-15 06:56:10.738345 : Epoch 10, Batch     56, Loss  0.598459, Average Loss  0.603017, Time  0.239596
2021-09-15 06:56:12.258353 : Epoch 10, Batch     57, Loss  0.610152, Average Loss  0.603056, Time  0.240537
2021-09-15 06:56:12.726887 : Epoch  2, Batch   1107, Loss  0.886098, Average Loss  0.871386, Time  0.265081
2021-09-15 06:56:13.792795 : Epoch 10, Batch     58, Loss  0.611262, Average Loss  0.603133, Time  0.240252
2021-09-15 06:56:15.322469 : Epoch 10, Batch     59, Loss  0.601561, Average Loss  0.603139, Time  0.240522
2021-09-15 06:56:15.750698 : Epoch  2, Batch   1108, Loss  0.842634, Average Loss  0.871167, Time  0.264540
2021-09-15 06:56:16.853885 : Epoch 10, Batch     60, Loss  0.590864, Average Loss  0.603081, Time  0.240380
2021-09-15 06:56:18.380944 : Epoch 10, Batch     61, Loss  0.600804, Average Loss  0.603097, Time  0.240623
2021-09-15 06:56:18.748965 : Epoch  2, Batch   1109, Loss  0.870641, Average Loss  0.871051, Time  0.264595
2021-09-15 06:56:19.904065 : Epoch 10, Batch     62, Loss  0.600994, Average Loss  0.603119, Time  0.241382
2021-09-15 06:56:21.607557 : Epoch 10, Batch     63, Loss  0.614389, Average Loss  0.603132, Time  0.259170
2021-09-15 06:56:21.740372 : Epoch  2, Batch   1110, Loss  0.872643, Average Loss  0.871063, Time  0.266355
2021-09-15 06:56:23.138531 : Epoch 10, Batch     64, Loss  0.602508, Average Loss  0.603150, Time  0.239861
2021-09-15 06:56:24.658660 : Epoch 10, Batch     65, Loss  0.597486, Average Loss  0.603162, Time  0.238176
2021-09-15 06:56:24.748706 : Epoch  2, Batch   1111, Loss  0.871232, Average Loss  0.871026, Time  0.264380
2021-09-15 06:56:26.187813 : Epoch 10, Batch     66, Loss  0.601401, Average Loss  0.603176, Time  0.239264
2021-09-15 06:56:27.731459 : Epoch 10, Batch     67, Loss  0.606412, Average Loss  0.603166, Time  0.239874
2021-09-15 06:56:27.754353 : Epoch  2, Batch   1112, Loss  0.864568, Average Loss  0.870961, Time  0.264245
2021-09-15 06:56:29.261857 : Epoch 10, Batch     68, Loss  0.600250, Average Loss  0.603180, Time  0.239974
2021-09-15 06:56:30.765683 : Epoch  2, Batch   1113, Loss  0.852113, Average Loss  0.870857, Time  0.265411
2021-09-15 06:56:30.801446 : Epoch 10, Batch     69, Loss  0.603365, Average Loss  0.603169, Time  0.241456
2021-09-15 06:56:32.329357 : Epoch 10, Batch     70, Loss  0.623089, Average Loss  0.602617, Time  0.239923
2021-09-15 06:56:33.752064 : Epoch  2, Batch   1114, Loss  0.866283, Average Loss  0.870800, Time  0.265114
2021-09-15 06:56:33.867811 : Epoch 10, Batch     71, Loss  0.596882, Average Loss  0.602581, Time  0.240482
2021-09-15 06:56:35.395441 : Epoch 10, Batch     72, Loss  0.604935, Average Loss  0.602595, Time  0.242683
2021-09-15 06:56:36.765090 : Epoch  2, Batch   1115, Loss  0.859406, Average Loss  0.870780, Time  0.265192
2021-09-15 06:56:36.917178 : Epoch 10, Batch     73, Loss  0.610534, Average Loss  0.602619, Time  0.241021
2021-09-15 06:56:38.436432 : Epoch 10, Batch     74, Loss  0.600403, Average Loss  0.602648, Time  0.239223
2021-09-15 06:56:39.789860 : Epoch  2, Batch   1116, Loss  0.867511, Average Loss  0.870770, Time  0.276661
2021-09-15 06:56:39.977455 : Epoch 10, Batch     75, Loss  0.603888, Average Loss  0.602663, Time  0.238137
2021-09-15 06:56:41.511942 : Epoch 10, Batch     76, Loss  0.592609, Average Loss  0.602623, Time  0.239876
2021-09-15 06:56:42.815875 : Epoch  2, Batch   1117, Loss  0.878478, Average Loss  0.870721, Time  0.265844
2021-09-15 06:56:43.042150 : Epoch 10, Batch     77, Loss  0.600248, Average Loss  0.602597, Time  0.241837
2021-09-15 06:56:44.565973 : Epoch 10, Batch     78, Loss  0.602473, Average Loss  0.602685, Time  0.238909
2021-09-15 06:56:45.808128 : Epoch  2, Batch   1118, Loss  0.882235, Average Loss  0.870687, Time  0.267337
2021-09-15 06:56:46.093021 : Epoch 10, Batch     79, Loss  0.593339, Average Loss  0.602616, Time  0.240655
2021-09-15 06:56:47.626862 : Epoch 10, Batch     80, Loss  0.595798, Average Loss  0.602536, Time  0.241515
2021-09-15 06:56:48.807352 : Epoch  2, Batch   1119, Loss  0.850964, Average Loss  0.870482, Time  0.264708
2021-09-15 06:56:49.162034 : Epoch 10, Batch     81, Loss  0.614310, Average Loss  0.602551, Time  0.241771
2021-09-15 06:56:50.689002 : Epoch 10, Batch     82, Loss  0.601353, Average Loss  0.602550, Time  0.238422
2021-09-15 06:56:51.814270 : Epoch  2, Batch   1120, Loss  0.878015, Average Loss  0.870428, Time  0.265375
2021-09-15 06:56:52.246903 : Epoch 10, Batch     83, Loss  0.604915, Average Loss  0.602596, Time  0.239768
2021-09-15 06:56:53.773066 : Epoch 10, Batch     84, Loss  0.611241, Average Loss  0.602616, Time  0.240784
2021-09-15 06:56:54.827282 : Epoch  2, Batch   1121, Loss  0.845276, Average Loss  0.870254, Time  0.266247
2021-09-15 06:56:55.373044 : Epoch 10, Batch     85, Loss  0.611819, Average Loss  0.602691, Time  0.243644
2021-09-15 06:56:56.916962 : Epoch 10, Batch     86, Loss  0.595398, Average Loss  0.602686, Time  0.241997
2021-09-15 06:56:57.861743 : Epoch  2, Batch   1122, Loss  0.873493, Average Loss  0.870232, Time  0.264778
2021-09-15 06:56:58.453993 : Epoch 10, Batch     87, Loss  0.605452, Average Loss  0.602739, Time  0.242475
2021-09-15 06:57:00.853189 : Epoch  2, Batch   1123, Loss  0.882972, Average Loss  0.870287, Time  0.264736
2021-09-15 06:57:02.373385 : Epoch 10, Batch     88, Loss  0.606599, Average Loss  0.602824, Time  0.275505
2021-09-15 06:57:03.870987 : Epoch  2, Batch   1124, Loss  0.871943, Average Loss  0.870287, Time  0.265008
2021-09-15 06:57:03.932816 : Epoch 10, Batch     89, Loss  0.600006, Average Loss  0.602808, Time  0.256318
2021-09-15 06:57:05.442408 : Epoch 10, Batch     90, Loss  0.600176, Average Loss  0.602767, Time  0.238611
2021-09-15 06:57:06.901162 : Epoch  2, Batch   1125, Loss  0.888678, Average Loss  0.870396, Time  0.266303
2021-09-15 06:57:06.962997 : Epoch 10, Batch     91, Loss  0.608780, Average Loss  0.602778, Time  0.239183
2021-09-15 06:57:08.490475 : Epoch 10, Batch     92, Loss  0.599287, Average Loss  0.602755, Time  0.239820
2021-09-15 06:57:09.926426 : Epoch  2, Batch   1126, Loss  0.873340, Average Loss  0.870421, Time  0.264794
2021-09-15 06:57:10.013375 : Epoch 10, Batch     93, Loss  0.600264, Average Loss  0.602684, Time  0.237306
2021-09-15 06:57:11.523218 : Epoch 10, Batch     94, Loss  0.605873, Average Loss  0.602738, Time  0.238244
2021-09-15 06:57:12.910722 : Epoch  2, Batch   1127, Loss  0.864227, Average Loss  0.870354, Time  0.263608
2021-09-15 06:57:13.041476 : Epoch 10, Batch     95, Loss  0.602180, Average Loss  0.602749, Time  0.239560
2021-09-15 06:57:14.544086 : Epoch 10, Batch     96, Loss  0.590790, Average Loss  0.602737, Time  0.239549
2021-09-15 06:57:15.873782 : Epoch  2, Batch   1128, Loss  0.887726, Average Loss  0.870360, Time  0.265184
2021-09-15 06:57:16.214330 : Epoch 10, Batch     97, Loss  0.601605, Average Loss  0.602767, Time  0.257072
2021-09-15 06:57:17.750119 : Epoch 10, Batch     98, Loss  0.593133, Average Loss  0.602701, Time  0.241751
2021-09-15 06:57:18.896042 : Epoch  2, Batch   1129, Loss  0.850132, Average Loss  0.870279, Time  0.265658
2021-09-15 06:57:19.358854 : Epoch 10, Batch     99, Loss  0.610632, Average Loss  0.602751, Time  0.259064
2021-09-15 06:57:21.022415 : Epoch 10, Batch    100, Loss  0.614238, Average Loss  0.602855, Time  0.257444
2021-09-15 06:57:21.887826 : Epoch  2, Batch   1130, Loss  0.864595, Average Loss  0.870460, Time  0.264938
2021-09-15 06:57:22.697832 : Epoch 10, Batch    101, Loss  0.600880, Average Loss  0.602852, Time  0.258242
2021-09-15 06:57:24.246426 : Epoch 10, Batch    102, Loss  0.604129, Average Loss  0.602874, Time  0.241336
2021-09-15 06:57:24.893034 : Epoch  2, Batch   1131, Loss  0.901569, Average Loss  0.870569, Time  0.276567
2021-09-15 06:57:25.770392 : Epoch 10, Batch    103, Loss  0.612295, Average Loss  0.602891, Time  0.240771
2021-09-15 06:57:27.294027 : Epoch 10, Batch    104, Loss  0.605406, Average Loss  0.602863, Time  0.238086
2021-09-15 06:57:27.902629 : Epoch  2, Batch   1132, Loss  0.870232, Average Loss  0.870504, Time  0.266426
2021-09-15 06:57:28.821113 : Epoch 10, Batch    105, Loss  0.606901, Average Loss  0.602811, Time  0.239948
2021-09-15 06:57:30.358364 : Epoch 10, Batch    106, Loss  0.606367, Average Loss  0.602828, Time  0.238880
2021-09-15 06:57:30.899038 : Epoch  2, Batch   1133, Loss  0.855045, Average Loss  0.870342, Time  0.266963
2021-09-15 06:57:31.880976 : Epoch 10, Batch    107, Loss  0.599926, Average Loss  0.602846, Time  0.241644
2021-09-15 06:57:33.402009 : Epoch 10, Batch    108, Loss  0.601956, Average Loss  0.602827, Time  0.238945
2021-09-15 06:57:33.918865 : Epoch  2, Batch   1134, Loss  0.877110, Average Loss  0.870292, Time  0.266416
2021-09-15 06:57:34.923373 : Epoch 10, Batch    109, Loss  0.597165, Average Loss  0.602847, Time  0.238816
2021-09-15 06:57:36.454820 : Epoch 10, Batch    110, Loss  0.590640, Average Loss  0.602808, Time  0.239530
2021-09-15 06:57:36.926126 : Epoch  2, Batch   1135, Loss  0.885107, Average Loss  0.870332, Time  0.264380
2021-09-15 06:57:37.990615 : Epoch 10, Batch    111, Loss  0.592040, Average Loss  0.602814, Time  0.239279
2021-09-15 06:57:39.524603 : Epoch 10, Batch    112, Loss  0.593815, Average Loss  0.602823, Time  0.240016
2021-09-15 06:57:39.914067 : Epoch  2, Batch   1136, Loss  0.857315, Average Loss  0.870277, Time  0.264741
2021-09-15 06:57:41.051850 : Epoch 10, Batch    113, Loss  0.606645, Average Loss  0.602795, Time  0.240703
2021-09-15 06:57:42.584929 : Epoch 10, Batch    114, Loss  0.604928, Average Loss  0.602747, Time  0.242309
2021-09-15 06:57:42.864959 : Epoch  2, Batch   1137, Loss  0.869129, Average Loss  0.870227, Time  0.266689
2021-09-15 06:57:44.122863 : Epoch 10, Batch    115, Loss  0.609947, Average Loss  0.602773, Time  0.239167
2021-09-15 06:57:45.648582 : Epoch 10, Batch    116, Loss  0.600589, Average Loss  0.602769, Time  0.238345
2021-09-15 06:57:45.834542 : Epoch  2, Batch   1138, Loss  0.880107, Average Loss  0.870305, Time  0.266841
2021-09-15 06:57:47.158449 : Epoch 10, Batch    117, Loss  0.605712, Average Loss  0.602772, Time  0.237875
2021-09-15 06:57:48.837824 : Epoch  2, Batch   1139, Loss  0.868568, Average Loss  0.870259, Time  0.264673
2021-09-15 06:57:51.865399 : Epoch  2, Batch   1140, Loss  0.867722, Average Loss  0.870212, Time  0.266116
2021-09-15 06:57:54.860310 : Epoch  2, Batch   1141, Loss  0.886114, Average Loss  0.870175, Time  0.265793
2021-09-15 06:57:57.851788 : Epoch  2, Batch   1142, Loss  0.880353, Average Loss  0.870385, Time  0.264785
2021-09-15 06:58:00.840765 : Epoch  2, Batch   1143, Loss  0.875713, Average Loss  0.870386, Time  0.264967
2021-09-15 06:58:11.879994 : Epoch  2, Batch   1144, Loss  0.879124, Average Loss  0.870471, Time  0.276744
2021-09-15 06:58:44.050982 : CheckPoint: Validation Loss  0.00025272, Best Loss  0.00024341
2021-09-15 06:58:45.577794 : Epoch 10, Batch    118, Loss  0.595402, Average Loss  0.602709, Time  0.240591
2021-09-15 06:58:47.099128 : Epoch 10, Batch    119, Loss  0.594647, Average Loss  0.602623, Time  0.239361
2021-09-15 06:58:48.621065 : Epoch 10, Batch    120, Loss  0.605405, Average Loss  0.602583, Time  0.241101
2021-09-15 06:58:50.139838 : Epoch 10, Batch    121, Loss  0.608529, Average Loss  0.602601, Time  0.240593
2021-09-15 06:58:51.666037 : Epoch 10, Batch    122, Loss  0.596278, Average Loss  0.602594, Time  0.240989
2021-09-15 06:58:53.196786 : Epoch 10, Batch    123, Loss  0.597787, Average Loss  0.602634, Time  0.238673
2021-09-15 06:58:54.898495 : Epoch 10, Batch    124, Loss  0.587320, Average Loss  0.602522, Time  0.258396
2021-09-15 06:58:56.423849 : Epoch 10, Batch    125, Loss  0.596848, Average Loss  0.602562, Time  0.239918
2021-09-15 06:58:57.942166 : Epoch 10, Batch    126, Loss  0.610232, Average Loss  0.602581, Time  0.237596
2021-09-15 06:58:59.457163 : Epoch 10, Batch    127, Loss  0.594925, Average Loss  0.602571, Time  0.239834
2021-09-15 06:59:00.999447 : Epoch 10, Batch    128, Loss  0.607587, Average Loss  0.602533, Time  0.243531
2021-09-15 06:59:02.531759 : Epoch 10, Batch    129, Loss  0.599980, Average Loss  0.602519, Time  0.241394
2021-09-15 06:59:04.070850 : Epoch 10, Batch    130, Loss  0.600739, Average Loss  0.602510, Time  0.241881
2021-09-15 06:59:05.747200 : Epoch 10, Batch    131, Loss  0.605012, Average Loss  0.602580, Time  0.260763
2021-09-15 06:59:07.284063 : Epoch 10, Batch    132, Loss  0.593025, Average Loss  0.602536, Time  0.240396
2021-09-15 06:59:08.799006 : Epoch 10, Batch    133, Loss  0.609286, Average Loss  0.602558, Time  0.237559
2021-09-15 06:59:10.328030 : Epoch 10, Batch    134, Loss  0.597315, Average Loss  0.602490, Time  0.242655
2021-09-15 06:59:11.884403 : Epoch 10, Batch    135, Loss  0.608058, Average Loss  0.602533, Time  0.241380
2021-09-15 06:59:13.409895 : Epoch 10, Batch    136, Loss  0.583560, Average Loss  0.602412, Time  0.240622
2021-09-15 06:59:14.951402 : Epoch 10, Batch    137, Loss  0.603272, Average Loss  0.602461, Time  0.242606
2021-09-15 06:59:16.478354 : Epoch 10, Batch    138, Loss  0.615794, Average Loss  0.602537, Time  0.240919
2021-09-15 06:59:18.002123 : Epoch 10, Batch    139, Loss  0.610777, Average Loss  0.602563, Time  0.237885
2021-09-15 06:59:19.532765 : Epoch 10, Batch    140, Loss  0.604838, Average Loss  0.602579, Time  0.242458
2021-09-15 06:59:21.225705 : Epoch 10, Batch    141, Loss  0.607484, Average Loss  0.602669, Time  0.258418
2021-09-15 06:59:22.747995 : Epoch 10, Batch    142, Loss  0.596946, Average Loss  0.602634, Time  0.240193
2021-09-15 06:59:24.268797 : Epoch 10, Batch    143, Loss  0.604700, Average Loss  0.602655, Time  0.239750
2021-09-15 06:59:25.795386 : Epoch 10, Batch    144, Loss  0.605213, Average Loss  0.602636, Time  0.238559
2021-09-15 06:59:27.333076 : Epoch 10, Batch    145, Loss  0.588772, Average Loss  0.602565, Time  0.241002
2021-09-15 06:59:28.850355 : Epoch 10, Batch    146, Loss  0.598913, Average Loss  0.602544, Time  0.239185
2021-09-15 06:59:30.375306 : Epoch 10, Batch    147, Loss  0.607683, Average Loss  0.602560, Time  0.239876
2021-09-15 06:59:31.896744 : Epoch 10, Batch    148, Loss  0.591283, Average Loss  0.602575, Time  0.240906
2021-09-15 06:59:33.438384 : Epoch 10, Batch    149, Loss  0.594159, Average Loss  0.602526, Time  0.240757
2021-09-15 06:59:34.972835 : Epoch 10, Batch    150, Loss  0.588039, Average Loss  0.602495, Time  0.242333
2021-09-15 06:59:36.493299 : Epoch 10, Batch    151, Loss  0.600759, Average Loss  0.602512, Time  0.240304
2021-09-15 06:59:38.015770 : Epoch 10, Batch    152, Loss  0.610833, Average Loss  0.602568, Time  0.242024
2021-09-15 06:59:39.533041 : Epoch 10, Batch    153, Loss  0.598900, Average Loss  0.602555, Time  0.239421
2021-09-15 06:59:41.063373 : Epoch 10, Batch    154, Loss  0.595173, Average Loss  0.602501, Time  0.240833
2021-09-15 06:59:42.589313 : Epoch 10, Batch    155, Loss  0.597841, Average Loss  0.602401, Time  0.238190
2021-09-15 06:59:44.126919 : Epoch 10, Batch    156, Loss  0.592760, Average Loss  0.602317, Time  0.241147
2021-09-15 06:59:45.645820 : Epoch 10, Batch    157, Loss  0.595553, Average Loss  0.602304, Time  0.239044
2021-09-15 06:59:47.175102 : Epoch 10, Batch    158, Loss  0.614800, Average Loss  0.602370, Time  0.239300
2021-09-15 06:59:48.702453 : Epoch 10, Batch    159, Loss  0.604795, Average Loss  0.602357, Time  0.241024
2021-09-15 06:59:50.250855 : Epoch 10, Batch    160, Loss  0.599198, Average Loss  0.602344, Time  0.241968
2021-09-15 06:59:51.778397 : Epoch 10, Batch    161, Loss  0.612087, Average Loss  0.602409, Time  0.238619
2021-09-15 06:59:53.299839 : Epoch 10, Batch    162, Loss  0.606736, Average Loss  0.602381, Time  0.240505
2021-09-15 06:59:54.828517 : Epoch 10, Batch    163, Loss  0.601690, Average Loss  0.602404, Time  0.240363
2021-09-15 06:59:56.373029 : Epoch 10, Batch    164, Loss  0.600740, Average Loss  0.602394, Time  0.241318
2021-09-15 06:59:57.898224 : Epoch 10, Batch    165, Loss  0.611980, Average Loss  0.602401, Time  0.240401
2021-09-15 06:59:59.576039 : Epoch 10, Batch    166, Loss  0.600362, Average Loss  0.602403, Time  0.258761
2021-09-15 07:00:01.102217 : Epoch 10, Batch    167, Loss  0.596532, Average Loss  0.602345, Time  0.236944
2021-09-15 07:00:02.635869 : Epoch 10, Batch    168, Loss  0.597346, Average Loss  0.602292, Time  0.241833
2021-09-15 07:00:04.164963 : Epoch 10, Batch    169, Loss  0.605373, Average Loss  0.602318, Time  0.239057
2021-09-15 07:00:05.687826 : Epoch 10, Batch    170, Loss  0.598517, Average Loss  0.602324, Time  0.239016
2021-09-15 07:00:07.205152 : Epoch 10, Batch    171, Loss  0.598943, Average Loss  0.602296, Time  0.238924
2021-09-15 07:00:08.761850 : Epoch 10, Batch    172, Loss  0.600876, Average Loss  0.602307, Time  0.240257
2021-09-15 07:00:10.297676 : Epoch 10, Batch    173, Loss  0.597137, Average Loss  0.602282, Time  0.240963
2021-09-15 07:00:11.976613 : Epoch 10, Batch    174, Loss  0.600359, Average Loss  0.602270, Time  0.257289
2021-09-15 07:00:13.515918 : Epoch 10, Batch    175, Loss  0.598726, Average Loss  0.602258, Time  0.238195
2021-09-15 07:00:15.049913 : Epoch 10, Batch    176, Loss  0.613218, Average Loss  0.602341, Time  0.241266
2021-09-15 07:00:16.585438 : Epoch 10, Batch    177, Loss  0.586804, Average Loss  0.602280, Time  0.239885
2021-09-15 07:00:18.111901 : Epoch 10, Batch    178, Loss  0.603112, Average Loss  0.602306, Time  0.240321
2021-09-15 07:00:19.627368 : Epoch 10, Batch    179, Loss  0.603253, Average Loss  0.602291, Time  0.240007
2021-09-15 07:00:21.147122 : Epoch 10, Batch    180, Loss  0.608280, Average Loss  0.602323, Time  0.238457
2021-09-15 07:00:22.681937 : Epoch 10, Batch    181, Loss  0.605541, Average Loss  0.602374, Time  0.238795
2021-09-15 07:00:24.218437 : Epoch 10, Batch    182, Loss  0.612594, Average Loss  0.602466, Time  0.241451
2021-09-15 07:00:25.734787 : Epoch 10, Batch    183, Loss  0.607794, Average Loss  0.602557, Time  0.240377
2021-09-15 07:00:27.259364 : Epoch 10, Batch    184, Loss  0.588116, Average Loss  0.602496, Time  0.240227
2021-09-15 07:00:28.788159 : Epoch 10, Batch    185, Loss  0.607081, Average Loss  0.602500, Time  0.240563
2021-09-15 07:00:30.352223 : Epoch 10, Batch    186, Loss  0.602757, Average Loss  0.602464, Time  0.240643
2021-09-15 07:00:31.878381 : Epoch 10, Batch    187, Loss  0.591385, Average Loss  0.602368, Time  0.240372
2021-09-15 07:00:35.745212 : Epoch 10, Batch    188, Loss  0.599576, Average Loss  0.602370, Time  0.275753
2021-09-15 07:00:37.277349 : Epoch 10, Batch    189, Loss  0.583549, Average Loss  0.602326, Time  0.255599
2021-09-15 07:00:38.791886 : Epoch 10, Batch    190, Loss  0.609659, Average Loss  0.602361, Time  0.240483
2021-09-15 07:00:40.330900 : Epoch 10, Batch    191, Loss  0.603060, Average Loss  0.602327, Time  0.240990
2021-09-15 07:00:41.875847 : Epoch 10, Batch    192, Loss  0.611203, Average Loss  0.602434, Time  0.239953
2021-09-15 07:00:43.399009 : Epoch 10, Batch    193, Loss  0.601584, Average Loss  0.602474, Time  0.238295
2021-09-15 07:00:44.925302 : Epoch 10, Batch    194, Loss  0.614770, Average Loss  0.602587, Time  0.238487
2021-09-15 07:00:46.449327 : Epoch 10, Batch    195, Loss  0.608122, Average Loss  0.602608, Time  0.240134
2021-09-15 07:00:47.969036 : Epoch 10, Batch    196, Loss  0.591324, Average Loss  0.602573, Time  0.239409
2021-09-15 07:00:49.505049 : Epoch 10, Batch    197, Loss  0.598815, Average Loss  0.602562, Time  0.238784
2021-09-15 07:00:51.039895 : Epoch 10, Batch    198, Loss  0.601555, Average Loss  0.602509, Time  0.239533
2021-09-15 07:00:52.572848 : Epoch 10, Batch    199, Loss  0.607868, Average Loss  0.602542, Time  0.239717
2021-09-15 07:00:54.102788 : Epoch 10, Batch    200, Loss  0.601038, Average Loss  0.602506, Time  0.241381
2021-09-15 07:00:55.633207 : Epoch 10, Batch    201, Loss  0.595436, Average Loss  0.602409, Time  0.242030
2021-09-15 07:00:57.165941 : Epoch 10, Batch    202, Loss  0.600234, Average Loss  0.602398, Time  0.241729
2021-09-15 07:00:58.691786 : Epoch 10, Batch    203, Loss  0.606302, Average Loss  0.602523, Time  0.241223
2021-09-15 07:01:00.221016 : Epoch 10, Batch    204, Loss  0.602269, Average Loss  0.602563, Time  0.241489
2021-09-15 07:01:01.739199 : Epoch 10, Batch    205, Loss  0.596438, Average Loss  0.602518, Time  0.241369
2021-09-15 07:01:03.275935 : Epoch 10, Batch    206, Loss  0.603010, Average Loss  0.602499, Time  0.241935
2021-09-15 07:01:04.802372 : Epoch 10, Batch    207, Loss  0.604337, Average Loss  0.602434, Time  0.241089
2021-09-15 07:01:06.331450 : Epoch 10, Batch    208, Loss  0.617472, Average Loss  0.602529, Time  0.236948
2021-09-15 07:01:08.014504 : Epoch 10, Batch    209, Loss  0.603189, Average Loss  0.602528, Time  0.258851
2021-09-15 07:01:09.646105 : Epoch 10, Batch    210, Loss  0.604080, Average Loss  0.602547, Time  0.239161
2021-09-15 07:01:11.187541 : Epoch 10, Batch    211, Loss  0.583334, Average Loss  0.602396, Time  0.248346
2021-09-15 07:01:12.746786 : Epoch 10, Batch    212, Loss  0.592281, Average Loss  0.602355, Time  0.240030
2021-09-15 07:01:14.284437 : Epoch 10, Batch    213, Loss  0.602519, Average Loss  0.602333, Time  0.241520
2021-09-15 07:01:15.804030 : Epoch 10, Batch    214, Loss  0.587176, Average Loss  0.602243, Time  0.240844
2021-09-15 07:01:17.349203 : Epoch 10, Batch    215, Loss  0.595023, Average Loss  0.602173, Time  0.239302
2021-09-15 07:01:18.873250 : Epoch 10, Batch    216, Loss  0.600750, Average Loss  0.602151, Time  0.239796
2021-09-15 07:01:20.505837 : Epoch 10, Batch    217, Loss  0.613786, Average Loss  0.602192, Time  0.258593
2021-09-15 07:02:17.460721 : CheckPoint: Validation Loss  0.00025443, Best Loss  0.00024341
2021-09-15 07:02:19.012855 : Epoch 10, Batch    218, Loss  0.596207, Average Loss  0.602102, Time  0.257483
2021-09-15 07:02:20.538055 : Epoch 10, Batch    219, Loss  0.598444, Average Loss  0.602093, Time  0.241591
2021-09-15 07:02:22.061347 : Epoch 10, Batch    220, Loss  0.606763, Average Loss  0.602047, Time  0.238886
2021-09-15 07:02:23.585379 : Epoch 10, Batch    221, Loss  0.595991, Average Loss  0.602011, Time  0.240823
2021-09-15 07:02:25.114035 : Epoch 10, Batch    222, Loss  0.603725, Average Loss  0.602026, Time  0.239943
2021-09-15 07:02:26.645454 : Epoch 10, Batch    223, Loss  0.605040, Average Loss  0.602103, Time  0.239021
2021-09-15 07:02:28.170767 : Epoch 10, Batch    224, Loss  0.598443, Average Loss  0.602075, Time  0.241378
2021-09-15 07:02:29.693357 : Epoch 10, Batch    225, Loss  0.609238, Average Loss  0.602096, Time  0.239351
2021-09-15 07:02:31.217810 : Epoch 10, Batch    226, Loss  0.605065, Average Loss  0.602126, Time  0.238142
2021-09-15 07:02:32.786852 : Epoch 10, Batch    227, Loss  0.602545, Average Loss  0.602101, Time  0.246023
2021-09-15 07:02:34.320121 : Epoch 10, Batch    228, Loss  0.589348, Average Loss  0.601990, Time  0.238755
2021-09-15 07:02:35.862070 : Epoch 10, Batch    229, Loss  0.599409, Average Loss  0.601958, Time  0.242273
2021-09-15 07:02:37.386761 : Epoch 10, Batch    230, Loss  0.597653, Average Loss  0.601913, Time  0.241304
2021-09-15 07:02:38.927056 : Epoch 10, Batch    231, Loss  0.599214, Average Loss  0.601863, Time  0.242114
2021-09-15 07:02:40.456037 : Epoch 10, Batch    232, Loss  0.598260, Average Loss  0.601859, Time  0.240422
2021-09-15 07:02:41.988935 : Epoch 10, Batch    233, Loss  0.600416, Average Loss  0.601892, Time  0.241824
2021-09-15 07:02:43.521761 : Epoch 10, Batch    234, Loss  0.609059, Average Loss  0.601953, Time  0.241102
2021-09-15 07:02:45.052756 : Epoch 10, Batch    235, Loss  0.595853, Average Loss  0.601903, Time  0.237650
2021-09-15 07:02:46.598434 : Epoch 10, Batch    236, Loss  0.606887, Average Loss  0.601991, Time  0.240891
2021-09-15 07:02:48.132947 : Epoch 10, Batch    237, Loss  0.596741, Average Loss  0.601948, Time  0.240863
2021-09-15 07:02:49.667940 : Epoch 10, Batch    238, Loss  0.605303, Average Loss  0.601919, Time  0.240145
2021-09-15 07:02:51.195226 : Epoch 10, Batch    239, Loss  0.587338, Average Loss  0.601812, Time  0.241345
2021-09-15 07:02:52.533158 : CheckPoint: Validation Loss  0.00030397, Best Loss  0.00029571
2021-09-15 07:02:52.722381 : Epoch 10, Batch    240, Loss  0.600011, Average Loss  0.601801, Time  0.240434
2021-09-15 07:02:54.234384 : Epoch 10, Batch    241, Loss  0.610020, Average Loss  0.601829, Time  0.239025
2021-09-15 07:02:55.559184 : Epoch  2, Batch   1145, Loss  0.875502, Average Loss  0.870504, Time  0.267258
2021-09-15 07:02:55.756828 : Epoch 10, Batch    242, Loss  0.599856, Average Loss  0.601819, Time  0.238661
2021-09-15 07:02:57.282792 : Epoch 10, Batch    243, Loss  0.594692, Average Loss  0.601819, Time  0.242130
2021-09-15 07:02:58.561081 : Epoch  2, Batch   1146, Loss  0.861716, Average Loss  0.870453, Time  0.265259
2021-09-15 07:02:58.816313 : Epoch 10, Batch    244, Loss  0.606989, Average Loss  0.601803, Time  0.239683
2021-09-15 07:03:00.334400 : Epoch 10, Batch    245, Loss  0.607741, Average Loss  0.601809, Time  0.240550
2021-09-15 07:03:01.566293 : Epoch  2, Batch   1147, Loss  0.878098, Average Loss  0.870465, Time  0.265474
2021-09-15 07:03:01.892108 : Epoch 10, Batch    246, Loss  0.605677, Average Loss  0.601802, Time  0.239963
2021-09-15 07:03:03.445147 : Epoch 10, Batch    247, Loss  0.605784, Average Loss  0.601771, Time  0.241740
2021-09-15 07:03:04.587204 : Epoch  2, Batch   1148, Loss  0.859553, Average Loss  0.870300, Time  0.264357
2021-09-15 07:03:04.973804 : Epoch 10, Batch    248, Loss  0.614911, Average Loss  0.601818, Time  0.241188
2021-09-15 07:03:06.519095 : Epoch 10, Batch    249, Loss  0.595971, Average Loss  0.601740, Time  0.243163
2021-09-15 07:03:07.593847 : Epoch  2, Batch   1149, Loss  0.887780, Average Loss  0.870439, Time  0.265268
2021-09-15 07:03:08.045804 : Epoch 10, Batch    250, Loss  0.594818, Average Loss  0.601755, Time  0.240367
2021-09-15 07:03:09.569343 : Epoch 10, Batch    251, Loss  0.605522, Average Loss  0.601807, Time  0.241033
2021-09-15 07:03:10.603837 : Epoch  2, Batch   1150, Loss  0.866262, Average Loss  0.870393, Time  0.265382
2021-09-15 07:03:11.097323 : Epoch 10, Batch    252, Loss  0.608930, Average Loss  0.601833, Time  0.239214
2021-09-15 07:03:12.630514 : Epoch 10, Batch    253, Loss  0.603040, Average Loss  0.601821, Time  0.240039
2021-09-15 07:03:13.619403 : Epoch  2, Batch   1151, Loss  0.839993, Average Loss  0.870170, Time  0.265309
2021-09-15 07:03:14.168858 : Epoch 10, Batch    254, Loss  0.606237, Average Loss  0.601823, Time  0.239955
2021-09-15 07:03:15.705800 : Epoch 10, Batch    255, Loss  0.597551, Average Loss  0.601819, Time  0.238910
2021-09-15 07:03:16.632342 : Epoch  2, Batch   1152, Loss  0.850611, Average Loss  0.870131, Time  0.265040
2021-09-15 07:03:17.234375 : Epoch 10, Batch    256, Loss  0.595900, Average Loss  0.601806, Time  0.239130
2021-09-15 07:03:18.798432 : Epoch 10, Batch    257, Loss  0.598889, Average Loss  0.601749, Time  0.243128
2021-09-15 07:03:19.664666 : Epoch  2, Batch   1153, Loss  0.870409, Average Loss  0.870142, Time  0.266003
2021-09-15 07:03:20.329756 : Epoch 10, Batch    258, Loss  0.595438, Average Loss  0.601670, Time  0.241709
2021-09-15 07:03:21.853384 : Epoch 10, Batch    259, Loss  0.597688, Average Loss  0.601651, Time  0.238214
2021-09-15 07:03:22.697729 : Epoch  2, Batch   1154, Loss  0.880794, Average Loss  0.870172, Time  0.264592
2021-09-15 07:03:23.393877 : Epoch 10, Batch    260, Loss  0.602636, Average Loss  0.601710, Time  0.241373
2021-09-15 07:03:24.936046 : Epoch 10, Batch    261, Loss  0.599289, Average Loss  0.601702, Time  0.241435
2021-09-15 07:03:25.710809 : Epoch  2, Batch   1155, Loss  0.840855, Average Loss  0.869954, Time  0.265741
2021-09-15 07:03:26.467749 : Epoch 10, Batch    262, Loss  0.595623, Average Loss  0.601675, Time  0.240329
2021-09-15 07:03:27.993851 : Epoch 10, Batch    263, Loss  0.605822, Average Loss  0.601633, Time  0.239092
2021-09-15 07:03:28.738862 : Epoch  2, Batch   1156, Loss  0.859744, Average Loss  0.869917, Time  0.279052
2021-09-15 07:03:29.526183 : Epoch 10, Batch    264, Loss  0.603034, Average Loss  0.601635, Time  0.242115
2021-09-15 07:03:31.101829 : Epoch 10, Batch    265, Loss  0.611260, Average Loss  0.601704, Time  0.238655
2021-09-15 07:03:31.756735 : Epoch  2, Batch   1157, Loss  0.890498, Average Loss  0.870203, Time  0.265627
2021-09-15 07:03:32.640020 : Epoch 10, Batch    266, Loss  0.597423, Average Loss  0.601684, Time  0.241114
2021-09-15 07:03:34.161324 : Epoch 10, Batch    267, Loss  0.605688, Average Loss  0.601681, Time  0.238577
2021-09-15 07:03:34.772804 : Epoch  2, Batch   1158, Loss  0.871029, Average Loss  0.870182, Time  0.265410
2021-09-15 07:03:35.704409 : Epoch 10, Batch    268, Loss  0.606492, Average Loss  0.601712, Time  0.241967
2021-09-15 07:03:37.242439 : Epoch 10, Batch    269, Loss  0.599869, Average Loss  0.601694, Time  0.242186
2021-09-15 07:03:37.791755 : Epoch  2, Batch   1159, Loss  0.879708, Average Loss  0.870151, Time  0.266969
2021-09-15 07:03:38.772789 : Epoch 10, Batch    270, Loss  0.604116, Average Loss  0.601599, Time  0.240958
2021-09-15 07:03:40.297877 : Epoch 10, Batch    271, Loss  0.602708, Average Loss  0.601629, Time  0.240993
2021-09-15 07:03:40.849052 : Epoch  2, Batch   1160, Loss  0.886763, Average Loss  0.870267, Time  0.266840
2021-09-15 07:03:41.822990 : Epoch 10, Batch    272, Loss  0.587747, Average Loss  0.601543, Time  0.240816
2021-09-15 07:03:43.364422 : Epoch 10, Batch    273, Loss  0.592095, Average Loss  0.601450, Time  0.244415
2021-09-15 07:03:43.884031 : Epoch  2, Batch   1161, Loss  0.874968, Average Loss  0.870382, Time  0.264519
2021-09-15 07:03:44.890539 : Epoch 10, Batch    274, Loss  0.601959, Average Loss  0.601458, Time  0.240039
2021-09-15 07:03:46.412779 : Epoch 10, Batch    275, Loss  0.612694, Average Loss  0.601502, Time  0.241347
2021-09-15 07:03:46.874044 : Epoch  2, Batch   1162, Loss  0.875408, Average Loss  0.870380, Time  0.264544
2021-09-15 07:03:47.936421 : Epoch 10, Batch    276, Loss  0.597797, Average Loss  0.601528, Time  0.240273
2021-09-15 07:03:49.465302 : Epoch 10, Batch    277, Loss  0.609370, Average Loss  0.601574, Time  0.238718
2021-09-15 07:03:49.882928 : Epoch  2, Batch   1163, Loss  0.873597, Average Loss  0.870299, Time  0.265514
2021-09-15 07:03:50.998786 : Epoch 10, Batch    278, Loss  0.604709, Average Loss  0.601585, Time  0.240368
2021-09-15 07:03:52.532941 : Epoch 10, Batch    279, Loss  0.604827, Average Loss  0.601642, Time  0.242771
2021-09-15 07:03:52.901640 : Epoch  2, Batch   1164, Loss  0.865195, Average Loss  0.870189, Time  0.264324
2021-09-15 07:03:54.082048 : Epoch 10, Batch    280, Loss  0.604289, Average Loss  0.601685, Time  0.239874
2021-09-15 07:03:55.613749 : Epoch 10, Batch    281, Loss  0.608148, Average Loss  0.601654, Time  0.242311
2021-09-15 07:03:55.893450 : Epoch  2, Batch   1165, Loss  0.882003, Average Loss  0.870224, Time  0.266246
2021-09-15 07:03:57.140841 : Epoch 10, Batch    282, Loss  0.598377, Average Loss  0.601639, Time  0.240773
2021-09-15 07:03:58.665380 : Epoch 10, Batch    283, Loss  0.597711, Average Loss  0.601603, Time  0.240160
2021-09-15 07:03:58.898973 : Epoch  2, Batch   1166, Loss  0.895380, Average Loss  0.870424, Time  0.264695
2021-09-15 07:04:00.205247 : Epoch 10, Batch    284, Loss  0.592817, Average Loss  0.601511, Time  0.243465
2021-09-15 07:04:01.745004 : Epoch 10, Batch    285, Loss  0.606620, Average Loss  0.601485, Time  0.241259
2021-09-15 07:04:01.928617 : Epoch  2, Batch   1167, Loss  0.862410, Average Loss  0.870421, Time  0.265944
2021-09-15 07:04:03.269034 : Epoch 10, Batch    286, Loss  0.614298, Average Loss  0.601579, Time  0.240781
2021-09-15 07:04:04.783751 : Epoch 10, Batch    287, Loss  0.599869, Average Loss  0.601552, Time  0.240458
2021-09-15 07:04:04.949992 : Epoch  2, Batch   1168, Loss  0.879410, Average Loss  0.870378, Time  0.265297
2021-09-15 07:04:07.945757 : Epoch  2, Batch   1169, Loss  0.851264, Average Loss  0.870344, Time  0.265453
2021-09-15 07:04:09.002049 : Epoch 10, Batch    288, Loss  0.602534, Average Loss  0.601531, Time  0.275863
2021-09-15 07:04:10.542824 : Epoch 10, Batch    289, Loss  0.610370, Average Loss  0.601583, Time  0.253352
2021-09-15 07:04:10.990813 : Epoch  2, Batch   1170, Loss  0.873949, Average Loss  0.870355, Time  0.265041
2021-09-15 07:04:12.086900 : Epoch 10, Batch    290, Loss  0.598714, Average Loss  0.601576, Time  0.238297
2021-09-15 07:04:13.660943 : Epoch 10, Batch    291, Loss  0.594832, Average Loss  0.601506, Time  0.239096
2021-09-15 07:04:14.004026 : Epoch  2, Batch   1171, Loss  0.860443, Average Loss  0.870434, Time  0.277218
2021-09-15 07:04:15.202357 : Epoch 10, Batch    292, Loss  0.591675, Average Loss  0.601468, Time  0.241655
2021-09-15 07:04:16.731954 : Epoch 10, Batch    293, Loss  0.601294, Average Loss  0.601473, Time  0.238332
2021-09-15 07:04:16.991716 : Epoch  2, Batch   1172, Loss  0.882636, Average Loss  0.870598, Time  0.265898
2021-09-15 07:04:18.254345 : Epoch 10, Batch    294, Loss  0.611368, Average Loss  0.601501, Time  0.240056
2021-09-15 07:04:19.801070 : Epoch 10, Batch    295, Loss  0.605404, Average Loss  0.601517, Time  0.241093
2021-09-15 07:04:19.990994 : Epoch  2, Batch   1173, Loss  0.849948, Average Loss  0.870432, Time  0.264870
2021-09-15 07:04:21.339850 : Epoch 10, Batch    296, Loss  0.606095, Average Loss  0.601593, Time  0.242743
2021-09-15 07:04:22.868393 : Epoch 10, Batch    297, Loss  0.605906, Average Loss  0.601615, Time  0.238983
2021-09-15 07:04:22.978302 : Epoch  2, Batch   1174, Loss  0.882037, Average Loss  0.870416, Time  0.265577
2021-09-15 07:04:24.391770 : Epoch 10, Batch    298, Loss  0.609282, Average Loss  0.601695, Time  0.238495
2021-09-15 07:04:25.918847 : Epoch 10, Batch    299, Loss  0.592824, Average Loss  0.601606, Time  0.241079
2021-09-15 07:04:25.979561 : Epoch  2, Batch   1175, Loss  0.882021, Average Loss  0.870574, Time  0.265477
2021-09-15 07:04:27.460084 : Epoch 10, Batch    300, Loss  0.605647, Average Loss  0.601563, Time  0.238215
2021-09-15 07:04:28.991143 : Epoch 10, Batch    301, Loss  0.600450, Average Loss  0.601561, Time  0.239956
2021-09-15 07:04:28.994219 : Epoch  2, Batch   1176, Loss  0.894429, Average Loss  0.870613, Time  0.265202
2021-09-15 07:04:30.519909 : Epoch 10, Batch    302, Loss  0.605040, Average Loss  0.601566, Time  0.238717
2021-09-15 07:04:32.034956 : Epoch 10, Batch    303, Loss  0.593472, Average Loss  0.601472, Time  0.238727
2021-09-15 07:04:32.042376 : Epoch  2, Batch   1177, Loss  0.854901, Average Loss  0.870537, Time  0.265347
2021-09-15 07:04:33.579988 : Epoch 10, Batch    304, Loss  0.612661, Average Loss  0.601508, Time  0.240026
2021-09-15 07:04:35.120113 : Epoch 10, Batch    305, Loss  0.604473, Average Loss  0.601496, Time  0.241308
2021-09-15 07:04:35.133469 : Epoch  2, Batch   1178, Loss  0.862924, Average Loss  0.870366, Time  0.266720
2021-09-15 07:04:36.647834 : Epoch 10, Batch    306, Loss  0.589435, Average Loss  0.601411, Time  0.238945
2021-09-15 07:04:38.139433 : Epoch  2, Batch   1179, Loss  0.867121, Average Loss  0.870320, Time  0.266288
2021-09-15 07:04:38.167942 : Epoch 10, Batch    307, Loss  0.599488, Average Loss  0.601409, Time  0.240892
2021-09-15 07:04:39.688098 : Epoch 10, Batch    308, Loss  0.602738, Average Loss  0.601413, Time  0.241641
2021-09-15 07:04:41.143105 : Epoch  2, Batch   1180, Loss  0.844679, Average Loss  0.870149, Time  0.265526
2021-09-15 07:04:41.223863 : Epoch 10, Batch    309, Loss  0.608297, Average Loss  0.601469, Time  0.240774
2021-09-15 07:04:42.737458 : Epoch 10, Batch    310, Loss  0.604170, Average Loss  0.601536, Time  0.239364
2021-09-15 07:04:44.156946 : Epoch  2, Batch   1181, Loss  0.869694, Average Loss  0.870148, Time  0.265050
2021-09-15 07:04:44.267373 : Epoch 10, Batch    311, Loss  0.600477, Average Loss  0.601578, Time  0.241643
2021-09-15 07:04:45.784348 : Epoch 10, Batch    312, Loss  0.599476, Average Loss  0.601607, Time  0.241340
2021-09-15 07:04:47.162221 : Epoch  2, Batch   1182, Loss  0.879798, Average Loss  0.870250, Time  0.265276
2021-09-15 07:04:47.311035 : Epoch 10, Batch    313, Loss  0.601270, Average Loss  0.601580, Time  0.241956
2021-09-15 07:04:48.827924 : Epoch 10, Batch    314, Loss  0.607487, Average Loss  0.601593, Time  0.239900
2021-09-15 07:04:50.169563 : Epoch  2, Batch   1183, Loss  0.874689, Average Loss  0.870294, Time  0.264951
2021-09-15 07:04:50.351860 : Epoch 10, Batch    315, Loss  0.599107, Average Loss  0.601539, Time  0.239768
2021-09-15 07:04:51.858806 : Epoch 10, Batch    316, Loss  0.600519, Average Loss  0.601538, Time  0.239156
2021-09-15 07:04:53.188119 : Epoch  2, Batch   1184, Loss  0.871561, Average Loss  0.870204, Time  0.264818
2021-09-15 07:04:53.387388 : Epoch 10, Batch    317, Loss  0.603380, Average Loss  0.601526, Time  0.239119
2021-09-15 07:04:56.186112 : Epoch  2, Batch   1185, Loss  0.879659, Average Loss  0.870269, Time  0.264916
2021-09-15 07:04:59.215984 : Epoch  2, Batch   1186, Loss  0.881245, Average Loss  0.870298, Time  0.273537
2021-09-15 07:05:02.215303 : Epoch  2, Batch   1187, Loss  0.873071, Average Loss  0.870316, Time  0.266591
2021-09-15 07:05:05.267967 : Epoch  2, Batch   1188, Loss  0.861615, Average Loss  0.870230, Time  0.265670
2021-09-15 07:05:08.288687 : Epoch  2, Batch   1189, Loss  0.876085, Average Loss  0.870327, Time  0.265015
2021-09-15 07:05:11.295485 : Epoch  2, Batch   1190, Loss  0.858523, Average Loss  0.870296, Time  0.264229
2021-09-15 07:05:14.323124 : Epoch  2, Batch   1191, Loss  0.886621, Average Loss  0.870420, Time  0.265843
2021-09-15 07:05:17.370042 : Epoch  2, Batch   1192, Loss  0.847407, Average Loss  0.870224, Time  0.264974
2021-09-15 07:05:20.379971 : Epoch  2, Batch   1193, Loss  0.887064, Average Loss  0.870266, Time  0.264685
2021-09-15 07:05:23.390906 : Epoch  2, Batch   1194, Loss  0.874433, Average Loss  0.870275, Time  0.265414
2021-09-15 07:05:26.400701 : Epoch  2, Batch   1195, Loss  0.856585, Average Loss  0.870091, Time  0.264682
2021-09-15 07:05:29.416778 : Epoch  2, Batch   1196, Loss  0.861887, Average Loss  0.870221, Time  0.264460
2021-09-15 07:05:32.430524 : Epoch  2, Batch   1197, Loss  0.862521, Average Loss  0.870229, Time  0.266600
2021-09-15 07:05:35.438271 : Epoch  2, Batch   1198, Loss  0.867395, Average Loss  0.870122, Time  0.265393
2021-09-15 07:05:38.482959 : Epoch  2, Batch   1199, Loss  0.871187, Average Loss  0.870102, Time  0.265705
2021-09-15 07:05:41.486269 : Epoch  2, Batch   1200, Loss  0.878216, Average Loss  0.870037, Time  0.265635
2021-09-15 07:05:44.517670 : Epoch  2, Batch   1201, Loss  0.874854, Average Loss  0.870119, Time  0.273342
2021-09-15 07:05:47.517802 : Epoch  2, Batch   1202, Loss  0.842135, Average Loss  0.870037, Time  0.265354
2021-09-15 07:05:50.524704 : CheckPoint: Validation Loss  0.00024740, Best Loss  0.00024341
2021-09-15 07:05:50.538499 : Epoch  2, Batch   1203, Loss  0.866611, Average Loss  0.869958, Time  0.264710
2021-09-15 07:05:52.073883 : Epoch 10, Batch    318, Loss  0.594792, Average Loss  0.601523, Time  0.259682
2021-09-15 07:05:53.565645 : Epoch  2, Batch   1204, Loss  0.859214, Average Loss  0.869982, Time  0.265531
2021-09-15 07:05:53.600194 : Epoch 10, Batch    319, Loss  0.609976, Average Loss  0.601600, Time  0.241149
2021-09-15 07:05:55.299117 : Epoch 10, Batch    320, Loss  0.591527, Average Loss  0.601531, Time  0.261564
2021-09-15 07:05:56.595916 : Epoch  2, Batch   1205, Loss  0.856138, Average Loss  0.869957, Time  0.264945
2021-09-15 07:05:56.989227 : Epoch 10, Batch    321, Loss  0.603958, Average Loss  0.601508, Time  0.264457
2021-09-15 07:05:58.652900 : Epoch 10, Batch    322, Loss  0.594278, Average Loss  0.601498, Time  0.258185
2021-09-15 07:05:59.608395 : Epoch  2, Batch   1206, Loss  0.855581, Average Loss  0.869876, Time  0.265257
2021-09-15 07:06:00.328106 : Epoch 10, Batch    323, Loss  0.607893, Average Loss  0.601548, Time  0.240129
2021-09-15 07:06:01.854810 : Epoch 10, Batch    324, Loss  0.594763, Average Loss  0.601586, Time  0.237239
2021-09-15 07:06:02.628724 : Epoch  2, Batch   1207, Loss  0.850918, Average Loss  0.869798, Time  0.264696
2021-09-15 07:06:03.378391 : Epoch 10, Batch    325, Loss  0.605482, Average Loss  0.601629, Time  0.237010
2021-09-15 07:06:04.914037 : Epoch 10, Batch    326, Loss  0.604960, Average Loss  0.601602, Time  0.239605
2021-09-15 07:06:05.624218 : Epoch  2, Batch   1208, Loss  0.864037, Average Loss  0.869777, Time  0.264713
2021-09-15 07:06:06.613992 : Epoch 10, Batch    327, Loss  0.599333, Average Loss  0.601624, Time  0.259071
2021-09-15 07:06:08.165424 : Epoch 10, Batch    328, Loss  0.598605, Average Loss  0.601580, Time  0.241797
2021-09-15 07:06:08.623322 : Epoch  2, Batch   1209, Loss  0.872972, Average Loss  0.869862, Time  0.264467
2021-09-15 07:06:09.692888 : Epoch 10, Batch    329, Loss  0.603284, Average Loss  0.601596, Time  0.243168
2021-09-15 07:06:11.236384 : Epoch 10, Batch    330, Loss  0.616013, Average Loss  0.601672, Time  0.237761
2021-09-15 07:06:11.610187 : Epoch  2, Batch   1210, Loss  0.877397, Average Loss  0.869982, Time  0.265039
2021-09-15 07:06:12.759123 : Epoch 10, Batch    331, Loss  0.597140, Average Loss  0.601633, Time  0.241625
2021-09-15 07:06:14.292366 : Epoch 10, Batch    332, Loss  0.605265, Average Loss  0.601694, Time  0.238940
2021-09-15 07:06:14.608503 : Epoch  2, Batch   1211, Loss  0.866311, Average Loss  0.870003, Time  0.265252
2021-09-15 07:06:15.833066 : Epoch 10, Batch    333, Loss  0.590713, Average Loss  0.601601, Time  0.240567
2021-09-15 07:06:17.369350 : Epoch 10, Batch    334, Loss  0.602613, Average Loss  0.601628, Time  0.238932
2021-09-15 07:06:17.611010 : Epoch  2, Batch   1212, Loss  0.873588, Average Loss  0.869968, Time  0.264056
2021-09-15 07:06:18.923492 : Epoch 10, Batch    335, Loss  0.595667, Average Loss  0.601566, Time  0.240248
2021-09-15 07:06:20.456912 : Epoch 10, Batch    336, Loss  0.614969, Average Loss  0.601723, Time  0.239309
2021-09-15 07:06:20.600892 : Epoch  2, Batch   1213, Loss  0.873360, Average Loss  0.870111, Time  0.265155
2021-09-15 07:06:22.002446 : Epoch 10, Batch    337, Loss  0.597048, Average Loss  0.601692, Time  0.241726
2021-09-15 07:06:23.538960 : Epoch 10, Batch    338, Loss  0.609931, Average Loss  0.601663, Time  0.239787
2021-09-15 07:06:23.573487 : Epoch  2, Batch   1214, Loss  0.855992, Average Loss  0.869980, Time  0.265192
2021-09-15 07:06:25.089471 : Epoch 10, Batch    339, Loss  0.601712, Average Loss  0.601617, Time  0.245078
2021-09-15 07:06:26.572082 : Epoch  2, Batch   1215, Loss  0.882668, Average Loss  0.870090, Time  0.264601
2021-09-15 07:06:26.615098 : Epoch 10, Batch    340, Loss  0.603760, Average Loss  0.601612, Time  0.240723
2021-09-15 07:06:28.138979 : Epoch 10, Batch    341, Loss  0.608750, Average Loss  0.601618, Time  0.239357
2021-09-15 07:06:29.598060 : Epoch  2, Batch   1216, Loss  0.877725, Average Loss  0.870101, Time  0.275174
2021-09-15 07:06:29.675378 : Epoch 10, Batch    342, Loss  0.590813, Average Loss  0.601587, Time  0.242612
2021-09-15 07:06:31.183335 : Epoch 10, Batch    343, Loss  0.596800, Average Loss  0.601548, Time  0.237893
2021-09-15 07:06:32.612322 : Epoch  2, Batch   1217, Loss  0.872256, Average Loss  0.870130, Time  0.266349
2021-09-15 07:06:32.716214 : Epoch 10, Batch    344, Loss  0.618284, Average Loss  0.601613, Time  0.240777
2021-09-15 07:06:34.245487 : Epoch 10, Batch    345, Loss  0.600056, Average Loss  0.601670, Time  0.241111
2021-09-15 07:06:35.666803 : Epoch  2, Batch   1218, Loss  0.845179, Average Loss  0.870005, Time  0.266877
2021-09-15 07:06:35.776792 : Epoch 10, Batch    346, Loss  0.603050, Average Loss  0.601690, Time  0.239601
2021-09-15 07:06:37.313411 : Epoch 10, Batch    347, Loss  0.590614, Average Loss  0.601605, Time  0.262802
2021-09-15 07:06:38.706785 : Epoch  2, Batch   1219, Loss  0.885807, Average Loss  0.870105, Time  0.265516
2021-09-15 07:06:38.855721 : Epoch 10, Batch    348, Loss  0.598881, Average Loss  0.601643, Time  0.239687
2021-09-15 07:06:40.375462 : Epoch 10, Batch    349, Loss  0.594102, Average Loss  0.601643, Time  0.237695
2021-09-15 07:06:41.710460 : Epoch  2, Batch   1220, Loss  0.867966, Average Loss  0.870088, Time  0.265419
2021-09-15 07:06:41.912413 : Epoch 10, Batch    350, Loss  0.607139, Average Loss  0.601738, Time  0.240628
2021-09-15 07:06:43.434411 : Epoch 10, Batch    351, Loss  0.602558, Average Loss  0.601747, Time  0.241675
2021-09-15 07:06:44.745862 : Epoch  2, Batch   1221, Loss  0.863246, Average Loss  0.870064, Time  0.266074
2021-09-15 07:06:44.956898 : Epoch 10, Batch    352, Loss  0.599551, Average Loss  0.601691, Time  0.239156
2021-09-15 07:06:46.477940 : Epoch 10, Batch    353, Loss  0.599589, Average Loss  0.601694, Time  0.238357
2021-09-15 07:06:47.786417 : Epoch  2, Batch   1222, Loss  0.877975, Average Loss  0.870064, Time  0.264910
2021-09-15 07:06:48.026147 : Epoch 10, Batch    354, Loss  0.591352, Average Loss  0.601675, Time  0.239975
2021-09-15 07:06:49.542320 : Epoch 10, Batch    355, Loss  0.609630, Average Loss  0.601734, Time  0.239894
2021-09-15 07:06:50.814847 : Epoch  2, Batch   1223, Loss  0.892114, Average Loss  0.870144, Time  0.265211
2021-09-15 07:06:51.070844 : Epoch 10, Batch    356, Loss  0.598265, Average Loss  0.601762, Time  0.241099
2021-09-15 07:06:52.584813 : Epoch 10, Batch    357, Loss  0.612749, Average Loss  0.601848, Time  0.240124
2021-09-15 07:06:53.866250 : Epoch  2, Batch   1224, Loss  0.873387, Average Loss  0.870185, Time  0.265477
2021-09-15 07:06:54.101824 : Epoch 10, Batch    358, Loss  0.612052, Average Loss  0.601834, Time  0.240705
2021-09-15 07:06:55.616861 : Epoch 10, Batch    359, Loss  0.612190, Average Loss  0.601871, Time  0.240050
2021-09-15 07:06:56.875918 : Epoch  2, Batch   1225, Loss  0.849930, Average Loss  0.870175, Time  0.264986
2021-09-15 07:06:57.145419 : Epoch 10, Batch    360, Loss  0.613291, Average Loss  0.601941, Time  0.239451
2021-09-15 07:06:58.678456 : Epoch 10, Batch    361, Loss  0.608184, Average Loss  0.601922, Time  0.241969
2021-09-15 07:06:59.902740 : Epoch  2, Batch   1226, Loss  0.861519, Average Loss  0.870082, Time  0.265113
2021-09-15 07:07:00.202068 : Epoch 10, Batch    362, Loss  0.600752, Average Loss  0.601892, Time  0.238817
2021-09-15 07:07:01.716350 : Epoch 10, Batch    363, Loss  0.588912, Average Loss  0.601828, Time  0.238746
2021-09-15 07:07:02.906947 : Epoch  2, Batch   1227, Loss  0.864682, Average Loss  0.870166, Time  0.264304
2021-09-15 07:07:03.243865 : Epoch 10, Batch    364, Loss  0.592031, Average Loss  0.601784, Time  0.242006
2021-09-15 07:07:04.761420 : Epoch 10, Batch    365, Loss  0.603886, Average Loss  0.601744, Time  0.239072
2021-09-15 07:07:05.928103 : Epoch  2, Batch   1228, Loss  0.860984, Average Loss  0.870051, Time  0.264678
2021-09-15 07:07:06.290421 : Epoch 10, Batch    366, Loss  0.593542, Average Loss  0.601710, Time  0.240813
2021-09-15 07:07:07.807529 : Epoch 10, Batch    367, Loss  0.600344, Average Loss  0.601729, Time  0.239039
2021-09-15 07:07:08.966630 : Epoch  2, Batch   1229, Loss  0.867949, Average Loss  0.869945, Time  0.265856
2021-09-15 07:07:09.339823 : Epoch 10, Batch    368, Loss  0.606706, Average Loss  0.601776, Time  0.241756
2021-09-15 07:07:10.884621 : Epoch 10, Batch    369, Loss  0.601472, Average Loss  0.601756, Time  0.239179
2021-09-15 07:07:12.012467 : Epoch  2, Batch   1230, Loss  0.890030, Average Loss  0.870010, Time  0.265275
2021-09-15 07:07:12.410095 : Epoch 10, Batch    370, Loss  0.595579, Average Loss  0.601742, Time  0.242257
2021-09-15 07:07:13.945884 : Epoch 10, Batch    371, Loss  0.606274, Average Loss  0.601778, Time  0.243820
2021-09-15 07:07:15.053614 : Epoch  2, Batch   1231, Loss  0.864511, Average Loss  0.869917, Time  0.276108
2021-09-15 07:07:15.628876 : Epoch 10, Batch    372, Loss  0.601077, Average Loss  0.601779, Time  0.260496
2021-09-15 07:07:17.306341 : Epoch 10, Batch    373, Loss  0.609930, Average Loss  0.601843, Time  0.257935
2021-09-15 07:07:18.074551 : Epoch  2, Batch   1232, Loss  0.892608, Average Loss  0.870047, Time  0.265587
2021-09-15 07:07:18.997477 : Epoch 10, Batch    374, Loss  0.600004, Average Loss  0.601841, Time  0.260431
2021-09-15 07:07:20.683536 : Epoch 10, Batch    375, Loss  0.609340, Average Loss  0.601895, Time  0.259852
2021-09-15 07:07:21.117638 : Epoch  2, Batch   1233, Loss  0.872781, Average Loss  0.869976, Time  0.265494
2021-09-15 07:07:22.215793 : Epoch 10, Batch    376, Loss  0.594176, Average Loss  0.601799, Time  0.241215
2021-09-15 07:07:23.739246 : Epoch 10, Batch    377, Loss  0.580683, Average Loss  0.601769, Time  0.239812
2021-09-15 07:07:24.140097 : Epoch  2, Batch   1234, Loss  0.874662, Average Loss  0.869971, Time  0.265174
2021-09-15 07:07:25.266823 : Epoch 10, Batch    378, Loss  0.595780, Average Loss  0.601732, Time  0.238492
2021-09-15 07:07:26.800256 : Epoch 10, Batch    379, Loss  0.615570, Average Loss  0.601794, Time  0.243310
2021-09-15 07:07:27.156535 : Epoch  2, Batch   1235, Loss  0.857706, Average Loss  0.869910, Time  0.265055
2021-09-15 07:07:28.347058 : Epoch 10, Batch    380, Loss  0.613374, Average Loss  0.601819, Time  0.240219
2021-09-15 07:07:29.870819 : Epoch 10, Batch    381, Loss  0.594173, Average Loss  0.601762, Time  0.239080
2021-09-15 07:07:30.210643 : Epoch  2, Batch   1236, Loss  0.841594, Average Loss  0.869777, Time  0.265157
2021-09-15 07:07:31.393496 : Epoch 10, Batch    382, Loss  0.591378, Average Loss  0.601656, Time  0.240002
2021-09-15 07:07:32.920837 : Epoch 10, Batch    383, Loss  0.600433, Average Loss  0.601619, Time  0.239759
2021-09-15 07:07:33.224142 : Epoch  2, Batch   1237, Loss  0.888978, Average Loss  0.869793, Time  0.266635
2021-09-15 07:07:34.458098 : Epoch 10, Batch    384, Loss  0.602942, Average Loss  0.601694, Time  0.239862
2021-09-15 07:07:36.142245 : Epoch 10, Batch    385, Loss  0.608187, Average Loss  0.601699, Time  0.260282
2021-09-15 07:07:36.235882 : Epoch  2, Batch   1238, Loss  0.883648, Average Loss  0.869803, Time  0.264348
2021-09-15 07:07:37.821973 : Epoch 10, Batch    386, Loss  0.595251, Average Loss  0.601662, Time  0.257650
2021-09-15 07:07:39.250139 : Epoch  2, Batch   1239, Loss  0.868223, Average Loss  0.869794, Time  0.266569
2021-09-15 07:07:39.513980 : Epoch 10, Batch    387, Loss  0.600415, Average Loss  0.601707, Time  0.259677
2021-09-15 07:07:42.252966 : Epoch  2, Batch   1240, Loss  0.861742, Average Loss  0.869834, Time  0.265480
2021-09-15 07:07:43.553995 : Epoch 10, Batch    388, Loss  0.603583, Average Loss  0.601727, Time  0.284895
2021-09-15 07:07:45.235371 : Epoch 10, Batch    389, Loss  0.605528, Average Loss  0.601837, Time  0.264032
2021-09-15 07:07:45.262810 : Epoch  2, Batch   1241, Loss  0.868739, Average Loss  0.869735, Time  0.264965
2021-09-15 07:07:46.907945 : Epoch 10, Batch    390, Loss  0.600861, Average Loss  0.601793, Time  0.260534
2021-09-15 07:07:48.301305 : Epoch  2, Batch   1242, Loss  0.860128, Average Loss  0.869672, Time  0.265785
2021-09-15 07:07:48.592876 : Epoch 10, Batch    391, Loss  0.611781, Average Loss  0.601836, Time  0.262397
2021-09-15 07:07:50.131862 : Epoch 10, Batch    392, Loss  0.606334, Average Loss  0.601812, Time  0.239708
2021-09-15 07:07:51.343112 : Epoch  2, Batch   1243, Loss  0.874965, Average Loss  0.869790, Time  0.265495
2021-09-15 07:07:51.657360 : Epoch 10, Batch    393, Loss  0.604456, Average Loss  0.601826, Time  0.238417
2021-09-15 07:07:53.170067 : Epoch 10, Batch    394, Loss  0.597172, Average Loss  0.601738, Time  0.237439
2021-09-15 07:07:54.364107 : Epoch  2, Batch   1244, Loss  0.883397, Average Loss  0.869969, Time  0.264777
2021-09-15 07:07:54.710809 : Epoch 10, Batch    395, Loss  0.602602, Average Loss  0.601711, Time  0.238209
2021-09-15 07:07:56.261814 : Epoch 10, Batch    396, Loss  0.597099, Average Loss  0.601739, Time  0.240748
2021-09-15 07:07:57.787361 : Epoch 10, Batch    397, Loss  0.606821, Average Loss  0.601780, Time  0.240800
2021-09-15 07:07:59.326250 : Epoch 10, Batch    398, Loss  0.609155, Average Loss  0.601818, Time  0.241799
2021-09-15 07:08:00.851349 : Epoch 10, Batch    399, Loss  0.601344, Average Loss  0.601785, Time  0.241238
2021-09-15 07:08:02.370818 : Epoch 10, Batch    400, Loss  0.614322, Average Loss  0.601851, Time  0.237918
2021-09-15 07:08:04.053141 : Epoch 10, Batch    401, Loss  0.600068, Average Loss  0.601874, Time  0.260681
2021-09-15 07:08:05.598451 : Epoch 10, Batch    402, Loss  0.604182, Average Loss  0.601894, Time  0.239654
2021-09-15 07:08:07.156149 : Epoch 10, Batch    403, Loss  0.600247, Average Loss  0.601864, Time  0.257380
2021-09-15 07:08:08.694457 : Epoch 10, Batch    404, Loss  0.590584, Average Loss  0.601806, Time  0.241602
2021-09-15 07:08:10.212851 : Epoch 10, Batch    405, Loss  0.598692, Average Loss  0.601817, Time  0.240715
2021-09-15 07:08:11.747114 : Epoch 10, Batch    406, Loss  0.584494, Average Loss  0.601724, Time  0.243026
2021-09-15 07:08:13.282428 : Epoch 10, Batch    407, Loss  0.604788, Average Loss  0.601726, Time  0.238454
2021-09-15 07:08:14.803424 : Epoch 10, Batch    408, Loss  0.590619, Average Loss  0.601592, Time  0.239745
2021-09-15 07:08:16.326807 : Epoch 10, Batch    409, Loss  0.605736, Average Loss  0.601605, Time  0.238417
2021-09-15 07:08:17.854055 : Epoch 10, Batch    410, Loss  0.598017, Average Loss  0.601575, Time  0.242747
2021-09-15 07:08:19.373225 : Epoch 10, Batch    411, Loss  0.609572, Average Loss  0.601706, Time  0.238743
2021-09-15 07:08:20.899980 : Epoch 10, Batch    412, Loss  0.597393, Average Loss  0.601731, Time  0.240903
2021-09-15 07:08:22.445958 : Epoch 10, Batch    413, Loss  0.605489, Average Loss  0.601746, Time  0.241168
2021-09-15 07:08:23.984835 : Epoch 10, Batch    414, Loss  0.608922, Average Loss  0.601855, Time  0.238583
2021-09-15 07:08:25.526413 : Epoch 10, Batch    415, Loss  0.601187, Average Loss  0.601886, Time  0.238613
2021-09-15 07:08:27.051418 : Epoch 10, Batch    416, Loss  0.601272, Average Loss  0.601888, Time  0.239056
2021-09-15 07:08:28.571742 : Epoch 10, Batch    417, Loss  0.606512, Average Loss  0.601852, Time  0.237956
2021-09-15 07:09:25.180695 : CheckPoint: Validation Loss  0.00025458, Best Loss  0.00024341
2021-09-15 07:09:26.695089 : Epoch 10, Batch    418, Loss  0.605691, Average Loss  0.601899, Time  0.239693
2021-09-15 07:09:28.212280 : Epoch 10, Batch    419, Loss  0.598799, Average Loss  0.601901, Time  0.240561
2021-09-15 07:09:29.731781 : Epoch 10, Batch    420, Loss  0.607961, Average Loss  0.601907, Time  0.240158
2021-09-15 07:09:31.244369 : Epoch 10, Batch    421, Loss  0.609849, Average Loss  0.601976, Time  0.237905
2021-09-15 07:09:32.759288 : Epoch 10, Batch    422, Loss  0.593300, Average Loss  0.601924, Time  0.238231
2021-09-15 07:09:34.275004 : Epoch 10, Batch    423, Loss  0.596272, Average Loss  0.601881, Time  0.239536
2021-09-15 07:09:35.816441 : Epoch 10, Batch    424, Loss  0.586955, Average Loss  0.601823, Time  0.242017
2021-09-15 07:09:37.347013 : Epoch 10, Batch    425, Loss  0.611124, Average Loss  0.601833, Time  0.239566
2021-09-15 07:09:38.875060 : Epoch 10, Batch    426, Loss  0.589396, Average Loss  0.601754, Time  0.240060
2021-09-15 07:09:40.414913 : Epoch 10, Batch    427, Loss  0.606686, Average Loss  0.601775, Time  0.241165
2021-09-15 07:09:42.092136 : Epoch 10, Batch    428, Loss  0.595006, Average Loss  0.601803, Time  0.256604
2021-09-15 07:09:43.636229 : Epoch 10, Batch    429, Loss  0.605057, Average Loss  0.601831, Time  0.237305
2021-09-15 07:09:45.189436 : Epoch 10, Batch    430, Loss  0.591438, Average Loss  0.601800, Time  0.241899
2021-09-15 07:09:46.707380 : Epoch 10, Batch    431, Loss  0.602296, Average Loss  0.601816, Time  0.239160
2021-09-15 07:09:48.225765 : Epoch 10, Batch    432, Loss  0.595479, Average Loss  0.601802, Time  0.243001
2021-09-15 07:09:49.743404 : Epoch 10, Batch    433, Loss  0.598479, Average Loss  0.601792, Time  0.239520
2021-09-15 07:09:51.260827 : Epoch 10, Batch    434, Loss  0.604587, Average Loss  0.601770, Time  0.239665
2021-09-15 07:09:52.775495 : Epoch 10, Batch    435, Loss  0.602737, Average Loss  0.601804, Time  0.236506
2021-09-15 07:09:54.330036 : Epoch 10, Batch    436, Loss  0.604314, Average Loss  0.601791, Time  0.256613
2021-09-15 07:09:55.863149 : Epoch 10, Batch    437, Loss  0.602953, Average Loss  0.601822, Time  0.240987
2021-09-15 07:09:57.396888 : Epoch 10, Batch    438, Loss  0.599561, Average Loss  0.601794, Time  0.239711
2021-09-15 07:09:58.916017 : Epoch 10, Batch    439, Loss  0.598946, Average Loss  0.601852, Time  0.240767
2021-09-15 07:10:00.448933 : Epoch 10, Batch    440, Loss  0.600045, Average Loss  0.601852, Time  0.241534
2021-09-15 07:10:01.969909 : Epoch 10, Batch    441, Loss  0.604528, Average Loss  0.601824, Time  0.240278
2021-09-15 07:10:03.504753 : Epoch 10, Batch    442, Loss  0.605770, Average Loss  0.601854, Time  0.240985
2021-09-15 07:10:05.041425 : Epoch 10, Batch    443, Loss  0.598318, Average Loss  0.601872, Time  0.241748
2021-09-15 07:10:06.561989 : Epoch 10, Batch    444, Loss  0.605033, Average Loss  0.601862, Time  0.241930
2021-09-15 07:10:08.102437 : Epoch 10, Batch    445, Loss  0.599140, Average Loss  0.601819, Time  0.243626
2021-09-15 07:10:09.632798 : Epoch 10, Batch    446, Loss  0.587386, Average Loss  0.601728, Time  0.240712
2021-09-15 07:10:11.159389 : Epoch 10, Batch    447, Loss  0.594932, Average Loss  0.601674, Time  0.240324
2021-09-15 07:10:12.683809 : Epoch 10, Batch    448, Loss  0.610132, Average Loss  0.601650, Time  0.241689
2021-09-15 07:10:14.206954 : Epoch 10, Batch    449, Loss  0.596650, Average Loss  0.601653, Time  0.238838
2021-09-15 07:10:15.723511 : Epoch 10, Batch    450, Loss  0.605885, Average Loss  0.601708, Time  0.242818
2021-09-15 07:10:17.407865 : Epoch 10, Batch    451, Loss  0.594049, Average Loss  0.601651, Time  0.259539
2021-09-15 07:10:19.099502 : Epoch 10, Batch    452, Loss  0.592181, Average Loss  0.601567, Time  0.263099
2021-09-15 07:10:20.769983 : Epoch 10, Batch    453, Loss  0.615399, Average Loss  0.601629, Time  0.257666
2021-09-15 07:10:22.435499 : Epoch 10, Batch    454, Loss  0.593296, Average Loss  0.601564, Time  0.238535
2021-09-15 07:10:23.982461 : Epoch 10, Batch    455, Loss  0.614760, Average Loss  0.601651, Time  0.240805
2021-09-15 07:10:25.512411 : Epoch 10, Batch    456, Loss  0.609695, Average Loss  0.601719, Time  0.241879
2021-09-15 07:10:27.028974 : Epoch 10, Batch    457, Loss  0.610598, Average Loss  0.601778, Time  0.240042
2021-09-15 07:10:28.539953 : Epoch 10, Batch    458, Loss  0.600901, Average Loss  0.601805, Time  0.238405
2021-09-15 07:10:30.061349 : Epoch 10, Batch    459, Loss  0.591250, Average Loss  0.601773, Time  0.239333
2021-09-15 07:10:31.584920 : Epoch 10, Batch    460, Loss  0.600771, Average Loss  0.601764, Time  0.242192
2021-09-15 07:10:33.099014 : Epoch 10, Batch    461, Loss  0.602180, Average Loss  0.601778, Time  0.240376
2021-09-15 07:10:34.618848 : Epoch 10, Batch    462, Loss  0.612423, Average Loss  0.601862, Time  0.241789
2021-09-15 07:10:36.143189 : Epoch 10, Batch    463, Loss  0.608286, Average Loss  0.601875, Time  0.240946
2021-09-15 07:10:37.669404 : Epoch 10, Batch    464, Loss  0.604466, Average Loss  0.601882, Time  0.241528
2021-09-15 07:10:39.178349 : Epoch 10, Batch    465, Loss  0.599309, Average Loss  0.601822, Time  0.238338
2021-09-15 07:10:40.690362 : Epoch 10, Batch    466, Loss  0.603893, Average Loss  0.601854, Time  0.240005
2021-09-15 07:10:42.207295 : Epoch 10, Batch    467, Loss  0.592918, Average Loss  0.601791, Time  0.237760
2021-09-15 07:10:43.742861 : Epoch 10, Batch    468, Loss  0.591701, Average Loss  0.601717, Time  0.240922
2021-09-15 07:10:45.269441 : Epoch 10, Batch    469, Loss  0.607955, Average Loss  0.601757, Time  0.238551
2021-09-15 07:10:46.807803 : Epoch 10, Batch    470, Loss  0.608868, Average Loss  0.601781, Time  0.243819
2021-09-15 07:10:48.345658 : Epoch 10, Batch    471, Loss  0.597273, Average Loss  0.601754, Time  0.239661
2021-09-15 07:10:49.862368 : Epoch 10, Batch    472, Loss  0.605579, Average Loss  0.601843, Time  0.238322
2021-09-15 07:10:51.385808 : Epoch 10, Batch    473, Loss  0.599617, Average Loss  0.601880, Time  0.238777
2021-09-15 07:10:52.902865 : Epoch 10, Batch    474, Loss  0.598726, Average Loss  0.601864, Time  0.241382
2021-09-15 07:10:54.427379 : Epoch 10, Batch    475, Loss  0.600676, Average Loss  0.601804, Time  0.241998
2021-09-15 07:10:55.950894 : Epoch 10, Batch    476, Loss  0.609335, Average Loss  0.601862, Time  0.242794
2021-09-15 07:10:57.492057 : Epoch 10, Batch    477, Loss  0.605852, Average Loss  0.601844, Time  0.239138
2021-09-15 07:10:59.020888 : Epoch 10, Batch    478, Loss  0.609112, Average Loss  0.601866, Time  0.241752
2021-09-15 07:11:00.538061 : Epoch 10, Batch    479, Loss  0.610801, Average Loss  0.601896, Time  0.238685
2021-09-15 07:11:02.222614 : Epoch 10, Batch    480, Loss  0.606866, Average Loss  0.601909, Time  0.259204
2021-09-15 07:11:03.793938 : Epoch 10, Batch    481, Loss  0.578495, Average Loss  0.601761, Time  0.238366
2021-09-15 07:11:05.330890 : Epoch 10, Batch    482, Loss  0.604516, Average Loss  0.601791, Time  0.239921
2021-09-15 07:11:06.839992 : Epoch 10, Batch    483, Loss  0.607501, Average Loss  0.601840, Time  0.238264
2021-09-15 07:11:08.396819 : Epoch 10, Batch    484, Loss  0.605155, Average Loss  0.601902, Time  0.239144
2021-09-15 07:11:10.001886 : Epoch 10, Batch    485, Loss  0.598726, Average Loss  0.601863, Time  0.242584
2021-09-15 07:11:11.543713 : Epoch 10, Batch    486, Loss  0.597739, Average Loss  0.601780, Time  0.236704
2021-09-15 07:11:13.078405 : Epoch 10, Batch    487, Loss  0.597945, Average Loss  0.601770, Time  0.236659
2021-09-15 07:11:18.064016 : Epoch 10, Batch    488, Loss  0.589632, Average Loss  0.601706, Time  0.295547
2021-09-15 07:11:19.760404 : Epoch 10, Batch    489, Loss  0.592036, Average Loss  0.601614, Time  0.275994
2021-09-15 07:11:21.423992 : Epoch 10, Batch    490, Loss  0.602636, Average Loss  0.601634, Time  0.257946
2021-09-15 07:11:23.114224 : Epoch 10, Batch    491, Loss  0.590161, Average Loss  0.601610, Time  0.262243
2021-09-15 07:11:24.837445 : Epoch 10, Batch    492, Loss  0.610955, Average Loss  0.601707, Time  0.264873
2021-09-15 07:11:26.532440 : Epoch 10, Batch    493, Loss  0.603733, Average Loss  0.601719, Time  0.258939
2021-09-15 07:11:28.216087 : Epoch 10, Batch    494, Loss  0.599506, Average Loss  0.601660, Time  0.260046
2021-09-15 07:11:29.892034 : Epoch 10, Batch    495, Loss  0.606280, Average Loss  0.601664, Time  0.257660
2021-09-15 07:11:31.578851 : Epoch 10, Batch    496, Loss  0.609488, Average Loss  0.601681, Time  0.261201
2021-09-15 07:11:33.269089 : Epoch 10, Batch    497, Loss  0.591832, Average Loss  0.601610, Time  0.260457
2021-09-15 07:11:34.817432 : Epoch 10, Batch    498, Loss  0.588773, Average Loss  0.601508, Time  0.238852
2021-09-15 07:11:36.348331 : Epoch 10, Batch    499, Loss  0.606854, Average Loss  0.601578, Time  0.240803
2021-09-15 07:11:37.869018 : Epoch 10, Batch    500, Loss  0.610847, Average Loss  0.601604, Time  0.237315
2021-09-15 07:11:39.394972 : Epoch 10, Batch    501, Loss  0.595640, Average Loss  0.601580, Time  0.240152
2021-09-15 07:11:40.929261 : Epoch 10, Batch    502, Loss  0.600307, Average Loss  0.601556, Time  0.238118
2021-09-15 07:11:42.470941 : Epoch 10, Batch    503, Loss  0.605482, Average Loss  0.601616, Time  0.239587
2021-09-15 07:11:44.035471 : Epoch 10, Batch    504, Loss  0.594853, Average Loss  0.601527, Time  0.240912
2021-09-15 07:11:45.563766 : Epoch 10, Batch    505, Loss  0.599975, Average Loss  0.601505, Time  0.240463
2021-09-15 07:11:47.090869 : Epoch 10, Batch    506, Loss  0.604492, Average Loss  0.601580, Time  0.240746
2021-09-15 07:11:48.639326 : Epoch 10, Batch    507, Loss  0.603134, Average Loss  0.601598, Time  0.241935
2021-09-15 07:11:50.181971 : Epoch 10, Batch    508, Loss  0.593361, Average Loss  0.601552, Time  0.240767
2021-09-15 07:11:51.714849 : Epoch 10, Batch    509, Loss  0.615051, Average Loss  0.601585, Time  0.242677
2021-09-15 07:11:53.238378 : Epoch 10, Batch    510, Loss  0.591258, Average Loss  0.601521, Time  0.240530
2021-09-15 07:11:54.763331 : Epoch 10, Batch    511, Loss  0.605754, Average Loss  0.601547, Time  0.240125
2021-09-15 07:11:56.296070 : Epoch 10, Batch    512, Loss  0.603401, Average Loss  0.601567, Time  0.241268
2021-09-15 07:11:57.828358 : Epoch 10, Batch    513, Loss  0.612121, Average Loss  0.601621, Time  0.239885
2021-09-15 07:11:59.354428 : Epoch 10, Batch    514, Loss  0.607137, Average Loss  0.601619, Time  0.239314
2021-09-15 07:12:00.874060 : Epoch 10, Batch    515, Loss  0.607914, Average Loss  0.601663, Time  0.240951
2021-09-15 07:12:02.401991 : Epoch 10, Batch    516, Loss  0.612281, Average Loss  0.601722, Time  0.242358
2021-09-15 07:12:03.928891 : Epoch 10, Batch    517, Loss  0.592573, Average Loss  0.601668, Time  0.240682
2021-09-15 07:12:36.099259 : CheckPoint: Validation Loss  0.00030709, Best Loss  0.00029571
2021-09-15 07:12:39.128705 : Epoch  2, Batch   1245, Loss  0.875709, Average Loss  0.869964, Time  0.276813
2021-09-15 07:12:42.138357 : Epoch  2, Batch   1246, Loss  0.880033, Average Loss  0.869975, Time  0.264897
2021-09-15 07:12:45.142630 : Epoch  2, Batch   1247, Loss  0.852040, Average Loss  0.869916, Time  0.264362
2021-09-15 07:12:48.140251 : Epoch  2, Batch   1248, Loss  0.861364, Average Loss  0.869942, Time  0.264318
2021-09-15 07:12:51.151196 : Epoch  2, Batch   1249, Loss  0.892481, Average Loss  0.870114, Time  0.264884
2021-09-15 07:12:54.171604 : Epoch  2, Batch   1250, Loss  0.854190, Average Loss  0.870033, Time  0.264789
2021-09-15 07:12:57.177721 : Epoch  2, Batch   1251, Loss  0.875790, Average Loss  0.869967, Time  0.264427
2021-09-15 07:13:00.191646 : Epoch  2, Batch   1252, Loss  0.868654, Average Loss  0.869933, Time  0.264333
2021-09-15 07:13:00.700093 : CheckPoint: Validation Loss  0.00025190, Best Loss  0.00024341
2021-09-15 07:13:02.238026 : Epoch 10, Batch    518, Loss  0.607856, Average Loss  0.601733, Time  0.239338
2021-09-15 07:13:03.224414 : Epoch  2, Batch   1253, Loss  0.882168, Average Loss  0.869999, Time  0.265409
2021-09-15 07:13:03.763708 : Epoch 10, Batch    519, Loss  0.608608, Average Loss  0.601727, Time  0.242563
2021-09-15 07:13:05.283815 : Epoch 10, Batch    520, Loss  0.600265, Average Loss  0.601770, Time  0.239789
2021-09-15 07:13:06.226943 : Epoch  2, Batch   1254, Loss  0.858486, Average Loss  0.869893, Time  0.265219
2021-09-15 07:13:06.832387 : Epoch 10, Batch    521, Loss  0.607664, Average Loss  0.601789, Time  0.242193
2021-09-15 07:13:08.364146 : Epoch 10, Batch    522, Loss  0.596255, Average Loss  0.601799, Time  0.238423
2021-09-15 07:13:09.231505 : Epoch  2, Batch   1255, Loss  0.865297, Average Loss  0.869898, Time  0.264564
2021-09-15 07:13:09.890914 : Epoch 10, Batch    523, Loss  0.594393, Average Loss  0.601731, Time  0.238886
2021-09-15 07:13:11.423966 : Epoch 10, Batch    524, Loss  0.594134, Average Loss  0.601728, Time  0.238648
2021-09-15 07:13:12.239746 : Epoch  2, Batch   1256, Loss  0.872875, Average Loss  0.869770, Time  0.266549
2021-09-15 07:13:12.963398 : Epoch 10, Batch    525, Loss  0.606262, Average Loss  0.601732, Time  0.239228
2021-09-15 07:13:14.497971 : Epoch 10, Batch    526, Loss  0.593764, Average Loss  0.601676, Time  0.239957
2021-09-15 07:13:15.264070 : Epoch  2, Batch   1257, Loss  0.873760, Average Loss  0.869676, Time  0.264760
2021-09-15 07:13:16.031334 : Epoch 10, Batch    527, Loss  0.592961, Average Loss  0.601644, Time  0.239750
2021-09-15 07:13:17.566952 : Epoch 10, Batch    528, Loss  0.614139, Average Loss  0.601722, Time  0.239313
2021-09-15 07:13:18.260369 : Epoch  2, Batch   1258, Loss  0.864082, Average Loss  0.869600, Time  0.265876
2021-09-15 07:13:19.108432 : Epoch 10, Batch    529, Loss  0.605104, Average Loss  0.601731, Time  0.239114
2021-09-15 07:13:20.638995 : Epoch 10, Batch    530, Loss  0.611461, Average Loss  0.601708, Time  0.240336
2021-09-15 07:13:21.263057 : Epoch  2, Batch   1259, Loss  0.866372, Average Loss  0.869545, Time  0.265473
2021-09-15 07:13:22.165388 : Epoch 10, Batch    531, Loss  0.610849, Average Loss  0.601777, Time  0.238725
2021-09-15 07:13:23.689813 : Epoch 10, Batch    532, Loss  0.600783, Average Loss  0.601754, Time  0.240606
2021-09-15 07:13:24.328384 : Epoch  2, Batch   1260, Loss  0.875898, Average Loss  0.869535, Time  0.277946
2021-09-15 07:13:25.225424 : Epoch 10, Batch    533, Loss  0.597410, Average Loss  0.601788, Time  0.241760
2021-09-15 07:13:26.763376 : Epoch 10, Batch    534, Loss  0.595243, Average Loss  0.601751, Time  0.239310
2021-09-15 07:13:27.331568 : Epoch  2, Batch   1261, Loss  0.853410, Average Loss  0.869516, Time  0.265020
2021-09-15 07:13:28.297400 : Epoch 10, Batch    535, Loss  0.599815, Average Loss  0.601772, Time  0.241014
2021-09-15 07:13:29.843133 : Epoch 10, Batch    536, Loss  0.615025, Average Loss  0.601772, Time  0.239561
2021-09-15 07:13:30.336538 : Epoch  2, Batch   1262, Loss  0.873780, Average Loss  0.869437, Time  0.264877
2021-09-15 07:13:31.370434 : Epoch 10, Batch    537, Loss  0.596430, Average Loss  0.601769, Time  0.241848
2021-09-15 07:13:32.898961 : Epoch 10, Batch    538, Loss  0.589313, Average Loss  0.601666, Time  0.238566
2021-09-15 07:13:33.344353 : Epoch  2, Batch   1263, Loss  0.880544, Average Loss  0.869504, Time  0.265522
2021-09-15 07:13:34.425368 : Epoch 10, Batch    539, Loss  0.595390, Average Loss  0.601634, Time  0.238635
2021-09-15 07:13:35.950046 : Epoch 10, Batch    540, Loss  0.593380, Average Loss  0.601582, Time  0.238906
2021-09-15 07:13:36.344679 : Epoch  2, Batch   1264, Loss  0.861477, Average Loss  0.869495, Time  0.264288
2021-09-15 07:13:37.500709 : Epoch 10, Batch    541, Loss  0.593542, Average Loss  0.601506, Time  0.242361
2021-09-15 07:13:39.040937 : Epoch 10, Batch    542, Loss  0.586749, Average Loss  0.601486, Time  0.240824
2021-09-15 07:13:39.345595 : Epoch  2, Batch   1265, Loss  0.870462, Average Loss  0.869457, Time  0.264725
2021-09-15 07:13:40.576449 : Epoch 10, Batch    543, Loss  0.593994, Average Loss  0.601472, Time  0.242180
2021-09-15 07:13:42.108959 : Epoch 10, Batch    544, Loss  0.615495, Average Loss  0.601458, Time  0.238239
2021-09-15 07:13:42.339970 : Epoch  2, Batch   1266, Loss  0.863996, Average Loss  0.869377, Time  0.265254
2021-09-15 07:13:43.644341 : Epoch 10, Batch    545, Loss  0.603551, Average Loss  0.601475, Time  0.239506
2021-09-15 07:13:45.190414 : Epoch 10, Batch    546, Loss  0.600347, Average Loss  0.601462, Time  0.241926
2021-09-15 07:13:45.334381 : Epoch  2, Batch   1267, Loss  0.875578, Average Loss  0.869328, Time  0.264821
2021-09-15 07:13:46.721196 : Epoch 10, Batch    547, Loss  0.601675, Average Loss  0.601517, Time  0.242702
2021-09-15 07:13:48.241372 : Epoch 10, Batch    548, Loss  0.592793, Average Loss  0.601487, Time  0.240075
2021-09-15 07:13:48.352861 : Epoch  2, Batch   1268, Loss  0.862426, Average Loss  0.869227, Time  0.265000
2021-09-15 07:13:49.764738 : Epoch 10, Batch    549, Loss  0.608214, Average Loss  0.601557, Time  0.240273
2021-09-15 07:13:51.382740 : Epoch  2, Batch   1269, Loss  0.885777, Average Loss  0.869465, Time  0.264115
2021-09-15 07:13:51.461348 : Epoch 10, Batch    550, Loss  0.600613, Average Loss  0.601525, Time  0.259105
2021-09-15 07:13:52.992169 : Epoch 10, Batch    551, Loss  0.604348, Average Loss  0.601534, Time  0.239184
2021-09-15 07:13:54.409068 : Epoch  2, Batch   1270, Loss  0.852213, Average Loss  0.869361, Time  0.266861
2021-09-15 07:13:54.522955 : Epoch 10, Batch    552, Loss  0.622163, Average Loss  0.601647, Time  0.239543
2021-09-15 07:13:56.045720 : Epoch 10, Batch    553, Loss  0.601062, Average Loss  0.601654, Time  0.239770
2021-09-15 07:13:57.462906 : Epoch  2, Batch   1271, Loss  0.861115, Average Loss  0.869357, Time  0.264531
2021-09-15 07:13:57.564284 : Epoch 10, Batch    554, Loss  0.597798, Average Loss  0.601686, Time  0.238231
2021-09-15 07:13:59.090706 : Epoch 10, Batch    555, Loss  0.610880, Average Loss  0.601692, Time  0.240497
2021-09-15 07:14:00.458563 : Epoch  2, Batch   1272, Loss  0.877476, Average Loss  0.869408, Time  0.264369
2021-09-15 07:14:00.697026 : Epoch 10, Batch    556, Loss  0.605687, Average Loss  0.601730, Time  0.240677
2021-09-15 07:14:02.218954 : Epoch 10, Batch    557, Loss  0.609869, Average Loss  0.601715, Time  0.239223
2021-09-15 07:14:03.460281 : Epoch  2, Batch   1273, Loss  0.861425, Average Loss  0.869343, Time  0.265216
2021-09-15 07:14:03.745798 : Epoch 10, Batch    558, Loss  0.602716, Average Loss  0.601668, Time  0.238546
2021-09-15 07:14:05.282807 : Epoch 10, Batch    559, Loss  0.597240, Average Loss  0.601594, Time  0.241725
2021-09-15 07:14:06.521386 : Epoch  2, Batch   1274, Loss  0.890564, Average Loss  0.869480, Time  0.265840
2021-09-15 07:14:06.873025 : Epoch 10, Batch    560, Loss  0.586921, Average Loss  0.601462, Time  0.239980
2021-09-15 07:14:08.398879 : Epoch 10, Batch    561, Loss  0.604982, Average Loss  0.601446, Time  0.238433
2021-09-15 07:14:09.571571 : Epoch  2, Batch   1275, Loss  0.875746, Average Loss  0.869448, Time  0.273756
2021-09-15 07:14:09.923891 : Epoch 10, Batch    562, Loss  0.595565, Average Loss  0.601420, Time  0.239519
2021-09-15 07:14:11.461404 : Epoch 10, Batch    563, Loss  0.591204, Average Loss  0.601431, Time  0.240033
2021-09-15 07:14:12.584129 : Epoch  2, Batch   1276, Loss  0.850990, Average Loss  0.869451, Time  0.266080
2021-09-15 07:14:13.015588 : Epoch 10, Batch    564, Loss  0.595507, Average Loss  0.601449, Time  0.242085
2021-09-15 07:14:14.566853 : Epoch 10, Batch    565, Loss  0.604663, Average Loss  0.601453, Time  0.241855
2021-09-15 07:14:15.574877 : Epoch  2, Batch   1277, Loss  0.856160, Average Loss  0.869435, Time  0.264331
2021-09-15 07:14:16.107006 : Epoch 10, Batch    566, Loss  0.595319, Average Loss  0.601462, Time  0.240770
2021-09-15 07:14:17.634762 : Epoch 10, Batch    567, Loss  0.590380, Average Loss  0.601412, Time  0.240385
2021-09-15 07:14:18.579081 : Epoch  2, Batch   1278, Loss  0.858426, Average Loss  0.869372, Time  0.265729
2021-09-15 07:14:19.214850 : Epoch 10, Batch    568, Loss  0.598067, Average Loss  0.601369, Time  0.243176
2021-09-15 07:14:20.747007 : Epoch 10, Batch    569, Loss  0.588282, Average Loss  0.601303, Time  0.242051
2021-09-15 07:14:21.602288 : Epoch  2, Batch   1279, Loss  0.887039, Average Loss  0.869522, Time  0.265153
2021-09-15 07:14:22.297495 : Epoch 10, Batch    570, Loss  0.600094, Average Loss  0.601325, Time  0.261755
2021-09-15 07:14:23.832827 : Epoch 10, Batch    571, Loss  0.606682, Average Loss  0.601327, Time  0.239253
2021-09-15 07:14:24.630749 : Epoch  2, Batch   1280, Loss  0.870990, Average Loss  0.869448, Time  0.266551
2021-09-15 07:14:25.379766 : Epoch 10, Batch    572, Loss  0.604782, Average Loss  0.601346, Time  0.239842
2021-09-15 07:14:26.915594 : Epoch 10, Batch    573, Loss  0.593955, Average Loss  0.601266, Time  0.238670
2021-09-15 07:14:27.662068 : Epoch  2, Batch   1281, Loss  0.874978, Average Loss  0.869394, Time  0.264901
2021-09-15 07:14:28.443889 : Epoch 10, Batch    574, Loss  0.600429, Average Loss  0.601268, Time  0.238727
2021-09-15 07:14:29.972415 : Epoch 10, Batch    575, Loss  0.595097, Average Loss  0.601197, Time  0.238762
2021-09-15 07:14:30.712091 : Epoch  2, Batch   1282, Loss  0.862977, Average Loss  0.869386, Time  0.265220
2021-09-15 07:14:31.514718 : Epoch 10, Batch    576, Loss  0.597056, Average Loss  0.601211, Time  0.239748
2021-09-15 07:14:33.045410 : Epoch 10, Batch    577, Loss  0.605073, Average Loss  0.601333, Time  0.241373
2021-09-15 07:14:33.726995 : Epoch  2, Batch   1283, Loss  0.894407, Average Loss  0.869394, Time  0.265744
2021-09-15 07:14:34.578410 : Epoch 10, Batch    578, Loss  0.594885, Average Loss  0.601329, Time  0.240676
2021-09-15 07:14:36.110780 : Epoch 10, Batch    579, Loss  0.599814, Average Loss  0.601250, Time  0.241338
2021-09-15 07:14:36.767133 : Epoch  2, Batch   1284, Loss  0.865500, Average Loss  0.869420, Time  0.265345
2021-09-15 07:14:37.649787 : Epoch 10, Batch    580, Loss  0.611055, Average Loss  0.601238, Time  0.238710
2021-09-15 07:14:39.181476 : Epoch 10, Batch    581, Loss  0.598096, Average Loss  0.601258, Time  0.239142
2021-09-15 07:14:39.797947 : Epoch  2, Batch   1285, Loss  0.876508, Average Loss  0.869548, Time  0.264094
2021-09-15 07:14:40.706329 : Epoch 10, Batch    582, Loss  0.606769, Average Loss  0.601335, Time  0.238298
2021-09-15 07:14:41.275280 : Epoch  2, Batch   1286, Loss  0.867355, Average Loss  0.869483, Time  0.164598
2021-09-15 07:14:42.227513 : Epoch 10, Batch    583, Loss  0.603251, Average Loss  0.601349, Time  0.237367
2021-09-15 07:14:43.756059 : Epoch 10, Batch    584, Loss  0.602908, Average Loss  0.601349, Time  0.238905
2021-09-15 07:14:44.273231 : Epoch  2, Batch   1287, Loss  0.868764, Average Loss  0.869438, Time  0.264657
2021-09-15 07:14:45.304921 : Epoch 10, Batch    585, Loss  0.618979, Average Loss  0.601403, Time  0.240038
2021-09-15 07:14:46.829002 : Epoch 10, Batch    586, Loss  0.603271, Average Loss  0.601443, Time  0.237590
2021-09-15 07:14:47.224856 : Epoch  2, Batch   1288, Loss  0.875118, Average Loss  0.869523, Time  0.264655
2021-09-15 07:14:48.353847 : Epoch 10, Batch    587, Loss  0.599141, Average Loss  0.601436, Time  0.237603
2021-09-15 07:14:50.236668 : Epoch  2, Batch   1289, Loss  0.868052, Average Loss  0.869601, Time  0.264375
2021-09-15 07:14:52.454924 : Epoch 10, Batch    588, Loss  0.601934, Average Loss  0.601428, Time  0.275530
2021-09-15 07:14:53.243493 : Epoch  2, Batch   1290, Loss  0.891624, Average Loss  0.869702, Time  0.264566
2021-09-15 07:14:53.990870 : Epoch 10, Batch    589, Loss  0.600115, Average Loss  0.601401, Time  0.253803
2021-09-15 07:14:55.517122 : Epoch 10, Batch    590, Loss  0.597327, Average Loss  0.601383, Time  0.240830
2021-09-15 07:14:56.290068 : Epoch  2, Batch   1291, Loss  0.859181, Average Loss  0.869699, Time  0.276542
2021-09-15 07:14:57.117819 : Epoch 10, Batch    591, Loss  0.607023, Average Loss  0.601360, Time  0.240345
2021-09-15 07:14:58.672823 : Epoch 10, Batch    592, Loss  0.603501, Average Loss  0.601345, Time  0.242342
2021-09-15 07:14:59.288112 : Epoch  2, Batch   1292, Loss  0.851710, Average Loss  0.869589, Time  0.265058
2021-09-15 07:15:00.207383 : Epoch 10, Batch    593, Loss  0.597667, Average Loss  0.601312, Time  0.239834
2021-09-15 07:15:01.757949 : Epoch 10, Batch    594, Loss  0.610541, Average Loss  0.601378, Time  0.239508
2021-09-15 07:15:02.292420 : Epoch  2, Batch   1293, Loss  0.859853, Average Loss  0.869584, Time  0.265352
2021-09-15 07:15:03.286408 : Epoch 10, Batch    595, Loss  0.600009, Average Loss  0.601365, Time  0.241491
2021-09-15 07:15:03.431806 : Epoch 10, Batch    596, Loss  0.480856, Average Loss  0.600784, Time  0.098789
2021-09-15 07:15:04.980876 : Epoch 10, Batch    597, Loss  0.612428, Average Loss  0.600812, Time  0.239403
2021-09-15 07:15:05.293980 : Epoch  2, Batch   1294, Loss  0.875424, Average Loss  0.869597, Time  0.265690
2021-09-15 07:15:06.516595 : Epoch 10, Batch    598, Loss  0.592620, Average Loss  0.600730, Time  0.239094
2021-09-15 07:15:08.195142 : Epoch 10, Batch    599, Loss  0.601120, Average Loss  0.600728, Time  0.259026
2021-09-15 07:15:08.312071 : Epoch  2, Batch   1295, Loss  0.867882, Average Loss  0.869653, Time  0.264974
2021-09-15 07:15:09.742456 : Epoch 10, Batch    600, Loss  0.608063, Average Loss  0.600697, Time  0.247427
2021-09-15 07:15:11.327827 : Epoch  2, Batch   1296, Loss  0.899819, Average Loss  0.869749, Time  0.265404
2021-09-15 07:15:11.429426 : Epoch 10, Batch    601, Loss  0.601890, Average Loss  0.600706, Time  0.259597
2021-09-15 07:15:12.952953 : Epoch 10, Batch    602, Loss  0.597044, Average Loss  0.600671, Time  0.240480
2021-09-15 07:15:14.338264 : Epoch  2, Batch   1297, Loss  0.853229, Average Loss  0.869651, Time  0.266253
2021-09-15 07:15:14.504186 : Epoch 10, Batch    603, Loss  0.613267, Average Loss  0.600736, Time  0.239670
2021-09-15 07:15:16.190946 : Epoch 10, Batch    604, Loss  0.591971, Average Loss  0.600743, Time  0.257529
2021-09-15 07:15:17.368580 : Epoch  2, Batch   1298, Loss  0.889870, Average Loss  0.869717, Time  0.265466
2021-09-15 07:15:17.876468 : Epoch 10, Batch    605, Loss  0.593403, Average Loss  0.600716, Time  0.259345
2021-09-15 07:15:19.561931 : Epoch 10, Batch    606, Loss  0.603373, Average Loss  0.600811, Time  0.240976
2021-09-15 07:15:20.423934 : Epoch  2, Batch   1299, Loss  0.868619, Average Loss  0.869675, Time  0.266566
2021-09-15 07:15:21.100046 : Epoch 10, Batch    607, Loss  0.588916, Average Loss  0.600731, Time  0.239828
2021-09-15 07:15:22.629383 : Epoch 10, Batch    608, Loss  0.594826, Average Loss  0.600752, Time  0.239548
2021-09-15 07:15:23.428022 : Epoch  2, Batch   1300, Loss  0.889411, Average Loss  0.869881, Time  0.265358
2021-09-15 07:15:24.168314 : Epoch 10, Batch    609, Loss  0.594579, Average Loss  0.600696, Time  0.240055
2021-09-15 07:15:25.725995 : Epoch 10, Batch    610, Loss  0.586563, Average Loss  0.600639, Time  0.248572
2021-09-15 07:15:26.430434 : Epoch  2, Batch   1301, Loss  0.866987, Average Loss  0.869833, Time  0.265764
2021-09-15 07:15:27.427133 : Epoch 10, Batch    611, Loss  0.598511, Average Loss  0.600584, Time  0.258513
2021-09-15 07:15:28.964820 : Epoch 10, Batch    612, Loss  0.576855, Average Loss  0.600481, Time  0.240581
2021-09-15 07:15:29.467477 : Epoch  2, Batch   1302, Loss  0.866675, Average Loss  0.869892, Time  0.264921
2021-09-15 07:15:30.497870 : Epoch 10, Batch    613, Loss  0.608710, Average Loss  0.600497, Time  0.240654
2021-09-15 07:15:32.034968 : Epoch 10, Batch    614, Loss  0.606317, Average Loss  0.600484, Time  0.241480
2021-09-15 07:15:32.489791 : Epoch  2, Batch   1303, Loss  0.874726, Average Loss  0.869912, Time  0.264376
2021-09-15 07:15:33.587395 : Epoch 10, Batch    615, Loss  0.588844, Average Loss  0.600423, Time  0.241996
2021-09-15 07:15:35.119011 : Epoch 10, Batch    616, Loss  0.606257, Average Loss  0.600447, Time  0.240183
2021-09-15 07:15:35.492022 : Epoch  2, Batch   1304, Loss  0.854492, Average Loss  0.869934, Time  0.264886
2021-09-15 07:15:36.649996 : Epoch 10, Batch    617, Loss  0.609443, Average Loss  0.600462, Time  0.241649
2021-09-15 07:15:38.517954 : Epoch  2, Batch   1305, Loss  0.890199, Average Loss  0.870009, Time  0.264208
2021-09-15 07:15:41.558179 : Epoch  2, Batch   1306, Loss  0.864723, Average Loss  0.870074, Time  0.277691
2021-09-15 07:15:44.620366 : Epoch  2, Batch   1307, Loss  0.869481, Average Loss  0.869991, Time  0.265964
2021-09-15 07:15:47.629809 : Epoch  2, Batch   1308, Loss  0.881950, Average Loss  0.870187, Time  0.264926
2021-09-15 07:15:50.630815 : Epoch  2, Batch   1309, Loss  0.875056, Average Loss  0.870210, Time  0.264697
2021-09-15 07:15:53.662891 : Epoch  2, Batch   1310, Loss  0.879294, Average Loss  0.870243, Time  0.264341
2021-09-15 07:15:56.718855 : Epoch  2, Batch   1311, Loss  0.885395, Average Loss  0.870314, Time  0.264755
2021-09-15 07:15:59.728770 : Epoch  2, Batch   1312, Loss  0.860659, Average Loss  0.870294, Time  0.264607
2021-09-15 07:16:02.744696 : Epoch  2, Batch   1313, Loss  0.894650, Average Loss  0.870507, Time  0.264762
2021-09-15 07:16:05.745814 : Epoch  2, Batch   1314, Loss  0.863883, Average Loss  0.870495, Time  0.264868
2021-09-15 07:16:08.742559 : Epoch  2, Batch   1315, Loss  0.868334, Average Loss  0.870539, Time  0.264241
2021-09-15 07:16:11.772701 : Epoch  2, Batch   1316, Loss  0.897996, Average Loss  0.870692, Time  0.265415
2021-09-15 07:16:14.787552 : Epoch  2, Batch   1317, Loss  0.855252, Average Loss  0.870576, Time  0.266403
2021-09-15 07:16:17.788440 : Epoch  2, Batch   1318, Loss  0.872416, Average Loss  0.870527, Time  0.264605
2021-09-15 07:16:20.814959 : Epoch  2, Batch   1319, Loss  0.884562, Average Loss  0.870695, Time  0.266566
2021-09-15 07:16:23.812928 : Epoch  2, Batch   1320, Loss  0.860050, Average Loss  0.870605, Time  0.265209
2021-09-15 07:16:26.876289 : Epoch  2, Batch   1321, Loss  0.884603, Average Loss  0.870801, Time  0.275394
2021-09-15 07:16:29.917130 : Epoch  2, Batch   1322, Loss  0.877119, Average Loss  0.870819, Time  0.265839
2021-09-15 07:16:32.963573 : Epoch  2, Batch   1323, Loss  0.866234, Average Loss  0.870736, Time  0.265292
2021-09-15 07:16:33.686736 : CheckPoint: Validation Loss  0.00024247, Best Loss  0.00024247
2021-09-15 07:16:33.723596 : Best Model Updated
2021-09-15 07:16:35.989922 : Epoch  2, Batch   1324, Loss  0.853311, Average Loss  0.870643, Time  0.264861
2021-09-15 07:16:36.134405 : Epoch 10, Batch    618, Loss  0.609653, Average Loss  0.600482, Time  0.270610
2021-09-15 07:16:37.656534 : Epoch 10, Batch    619, Loss  0.611051, Average Loss  0.600543, Time  0.241386
2021-09-15 07:16:38.983231 : Epoch  2, Batch   1325, Loss  0.877072, Average Loss  0.870585, Time  0.264553
2021-09-15 07:16:39.179095 : Epoch 10, Batch    620, Loss  0.589006, Average Loss  0.600448, Time  0.237844
2021-09-15 07:16:40.705831 : Epoch 10, Batch    621, Loss  0.595708, Average Loss  0.600378, Time  0.240313
2021-09-15 07:16:42.008881 : Epoch  2, Batch   1326, Loss  0.841292, Average Loss  0.870424, Time  0.265146
2021-09-15 07:16:42.233921 : Epoch 10, Batch    622, Loss  0.591372, Average Loss  0.600368, Time  0.240521
2021-09-15 07:16:43.795455 : Epoch 10, Batch    623, Loss  0.607512, Average Loss  0.600424, Time  0.239923
2021-09-15 07:16:45.015728 : Epoch  2, Batch   1327, Loss  0.875681, Average Loss  0.870482, Time  0.264282
2021-09-15 07:16:45.347578 : Epoch 10, Batch    624, Loss  0.607508, Average Loss  0.600527, Time  0.240910
2021-09-15 07:16:46.889466 : Epoch 10, Batch    625, Loss  0.590653, Average Loss  0.600425, Time  0.241029
2021-09-15 07:16:48.020557 : Epoch  2, Batch   1328, Loss  0.866408, Average Loss  0.870375, Time  0.265043
2021-09-15 07:16:48.574066 : Epoch 10, Batch    626, Loss  0.590843, Average Loss  0.600432, Time  0.257269
2021-09-15 07:16:50.239693 : Epoch 10, Batch    627, Loss  0.605321, Average Loss  0.600425, Time  0.240402
2021-09-15 07:16:51.041534 : Epoch  2, Batch   1329, Loss  0.872128, Average Loss  0.870485, Time  0.265217
2021-09-15 07:16:51.785476 : Epoch 10, Batch    628, Loss  0.597929, Average Loss  0.600440, Time  0.240618
2021-09-15 07:16:53.319069 : Epoch 10, Batch    629, Loss  0.596121, Average Loss  0.600395, Time  0.238866
2021-09-15 07:16:54.074005 : Epoch  2, Batch   1330, Loss  0.876069, Average Loss  0.870542, Time  0.265486
2021-09-15 07:16:54.858771 : Epoch 10, Batch    630, Loss  0.603151, Average Loss  0.600454, Time  0.242423
2021-09-15 07:16:56.395787 : Epoch 10, Batch    631, Loss  0.613486, Average Loss  0.600510, Time  0.239161
2021-09-15 07:16:57.094653 : Epoch  2, Batch   1331, Loss  0.884795, Average Loss  0.870459, Time  0.264392
2021-09-15 07:16:57.940508 : Epoch 10, Batch    632, Loss  0.607744, Average Loss  0.600571, Time  0.238194
2021-09-15 07:16:59.482471 : Epoch 10, Batch    633, Loss  0.607542, Average Loss  0.600616, Time  0.238592
2021-09-15 07:17:00.094415 : Epoch  2, Batch   1332, Loss  0.881974, Average Loss  0.870517, Time  0.264512
2021-09-15 07:17:01.012550 : Epoch 10, Batch    634, Loss  0.607497, Average Loss  0.600631, Time  0.240113
2021-09-15 07:17:02.540879 : Epoch 10, Batch    635, Loss  0.597700, Average Loss  0.600606, Time  0.237757
2021-09-15 07:17:03.120476 : Epoch  2, Batch   1333, Loss  0.882141, Average Loss  0.870653, Time  0.265796
2021-09-15 07:17:04.063450 : Epoch 10, Batch    636, Loss  0.596087, Average Loss  0.600564, Time  0.238974
2021-09-15 07:17:05.597563 : Epoch 10, Batch    637, Loss  0.593109, Average Loss  0.600515, Time  0.239782
2021-09-15 07:17:06.165726 : Epoch  2, Batch   1334, Loss  0.839935, Average Loss  0.870467, Time  0.263937
2021-09-15 07:17:07.280800 : Epoch 10, Batch    638, Loss  0.593469, Average Loss  0.600485, Time  0.259068
2021-09-15 07:17:08.874473 : Epoch 10, Batch    639, Loss  0.612240, Average Loss  0.600551, Time  0.242291
2021-09-15 07:17:09.184981 : Epoch  2, Batch   1335, Loss  0.892602, Average Loss  0.870504, Time  0.264684
2021-09-15 07:17:10.408977 : Epoch 10, Batch    640, Loss  0.597269, Average Loss  0.600537, Time  0.241385
2021-09-15 07:17:11.936984 : Epoch 10, Batch    641, Loss  0.593863, Average Loss  0.600484, Time  0.241271
2021-09-15 07:17:12.200319 : Epoch  2, Batch   1336, Loss  0.889076, Average Loss  0.870663, Time  0.275016
2021-09-15 07:17:13.472359 : Epoch 10, Batch    642, Loss  0.599592, Average Loss  0.600453, Time  0.240249
2021-09-15 07:17:15.002931 : Epoch 10, Batch    643, Loss  0.604372, Average Loss  0.600483, Time  0.239413
2021-09-15 07:17:15.217905 : Epoch  2, Batch   1337, Loss  0.865138, Average Loss  0.870643, Time  0.267414
2021-09-15 07:17:16.536768 : Epoch 10, Batch    644, Loss  0.602948, Average Loss  0.600473, Time  0.240566
2021-09-15 07:17:18.081134 : Epoch 10, Batch    645, Loss  0.616227, Average Loss  0.600558, Time  0.239505
2021-09-15 07:17:18.248742 : Epoch  2, Batch   1338, Loss  0.860579, Average Loss  0.870546, Time  0.264558
2021-09-15 07:17:19.665870 : Epoch 10, Batch    646, Loss  0.601788, Average Loss  0.600630, Time  0.239479
2021-09-15 07:17:21.205367 : Epoch 10, Batch    647, Loss  0.592317, Average Loss  0.600617, Time  0.238629
2021-09-15 07:17:21.268250 : Epoch  2, Batch   1339, Loss  0.863923, Average Loss  0.870522, Time  0.265892
2021-09-15 07:17:22.746861 : Epoch 10, Batch    648, Loss  0.594165, Average Loss  0.600537, Time  0.241352
2021-09-15 07:17:24.302103 : Epoch 10, Batch    649, Loss  0.606548, Average Loss  0.600587, Time  0.241406
2021-09-15 07:17:24.318600 : Epoch  2, Batch   1340, Loss  0.869926, Average Loss  0.870533, Time  0.266244
2021-09-15 07:17:25.854945 : Epoch 10, Batch    650, Loss  0.606541, Average Loss  0.600590, Time  0.240750
2021-09-15 07:17:27.360167 : Epoch  2, Batch   1341, Loss  0.880880, Average Loss  0.870507, Time  0.265479
2021-09-15 07:17:27.379348 : Epoch 10, Batch    651, Loss  0.608194, Average Loss  0.600661, Time  0.240021
2021-09-15 07:17:28.932721 : Epoch 10, Batch    652, Loss  0.607833, Average Loss  0.600739, Time  0.238919
2021-09-15 07:17:30.372436 : Epoch  2, Batch   1342, Loss  0.867158, Average Loss  0.870441, Time  0.264847
2021-09-15 07:17:30.522352 : Epoch 10, Batch    653, Loss  0.596583, Average Loss  0.600645, Time  0.238695
2021-09-15 07:17:32.050849 : Epoch 10, Batch    654, Loss  0.602358, Average Loss  0.600690, Time  0.238158
2021-09-15 07:17:33.383050 : Epoch  2, Batch   1343, Loss  0.887791, Average Loss  0.870502, Time  0.263991
2021-09-15 07:17:33.618111 : Epoch 10, Batch    655, Loss  0.619410, Average Loss  0.600714, Time  0.241582
2021-09-15 07:17:35.142362 : Epoch 10, Batch    656, Loss  0.596185, Average Loss  0.600646, Time  0.238641
2021-09-15 07:17:36.422005 : Epoch  2, Batch   1344, Loss  0.854257, Average Loss  0.870377, Time  0.265548
2021-09-15 07:17:36.695924 : Epoch 10, Batch    657, Loss  0.598710, Average Loss  0.600587, Time  0.239950
2021-09-15 07:17:38.219717 : Epoch 10, Batch    658, Loss  0.586886, Average Loss  0.600517, Time  0.238562
2021-09-15 07:17:39.784063 : Epoch 10, Batch    659, Loss  0.598059, Average Loss  0.600551, Time  0.237068
2021-09-15 07:17:41.340827 : Epoch 10, Batch    660, Loss  0.609818, Average Loss  0.600596, Time  0.237793
2021-09-15 07:17:42.868961 : Epoch 10, Batch    661, Loss  0.606425, Average Loss  0.600617, Time  0.241057
2021-09-15 07:17:44.397213 : Epoch 10, Batch    662, Loss  0.611106, Average Loss  0.600611, Time  0.240059
2021-09-15 07:17:45.936499 : Epoch 10, Batch    663, Loss  0.591565, Average Loss  0.600527, Time  0.240234
2021-09-15 07:17:47.463821 : Epoch 10, Batch    664, Loss  0.595152, Average Loss  0.600480, Time  0.238551
2021-09-15 07:17:48.991006 : Epoch 10, Batch    665, Loss  0.604574, Average Loss  0.600507, Time  0.240733
2021-09-15 07:17:50.515044 : Epoch 10, Batch    666, Loss  0.624283, Average Loss  0.600609, Time  0.238717
2021-09-15 07:17:52.052118 : Epoch 10, Batch    667, Loss  0.587551, Average Loss  0.600582, Time  0.239983
2021-09-15 07:17:53.590540 : Epoch 10, Batch    668, Loss  0.610261, Average Loss  0.600675, Time  0.239696
2021-09-15 07:17:55.105732 : Epoch 10, Batch    669, Loss  0.599944, Average Loss  0.600635, Time  0.237645
2021-09-15 07:17:56.778827 : Epoch 10, Batch    670, Loss  0.601771, Average Loss  0.600599, Time  0.257865
2021-09-15 07:17:58.321263 : Epoch 10, Batch    671, Loss  0.608513, Average Loss  0.600655, Time  0.239714
2021-09-15 07:17:59.862196 : Epoch 10, Batch    672, Loss  0.604213, Average Loss  0.600648, Time  0.242556
2021-09-15 07:18:01.391060 : Epoch 10, Batch    673, Loss  0.606180, Average Loss  0.600681, Time  0.237993
2021-09-15 07:18:02.918015 : Epoch 10, Batch    674, Loss  0.623048, Average Loss  0.600803, Time  0.240194
2021-09-15 07:18:04.454376 : Epoch 10, Batch    675, Loss  0.606003, Average Loss  0.600830, Time  0.239657
2021-09-15 07:18:05.990078 : Epoch 10, Batch    676, Loss  0.592070, Average Loss  0.600743, Time  0.239260
2021-09-15 07:18:07.674402 : Epoch 10, Batch    677, Loss  0.599439, Average Loss  0.600711, Time  0.255811
2021-09-15 07:18:09.366438 : Epoch 10, Batch    678, Loss  0.604969, Average Loss  0.600690, Time  0.257806
2021-09-15 07:18:11.075865 : Epoch 10, Batch    679, Loss  0.590245, Average Loss  0.600588, Time  0.259106
2021-09-15 07:18:12.620923 : Epoch 10, Batch    680, Loss  0.603950, Average Loss  0.600573, Time  0.239744
2021-09-15 07:18:14.151363 : Epoch 10, Batch    681, Loss  0.601284, Average Loss  0.600687, Time  0.240513
2021-09-15 07:18:15.682308 : Epoch 10, Batch    682, Loss  0.594071, Average Loss  0.600635, Time  0.240061
2021-09-15 07:18:17.235485 : Epoch 10, Batch    683, Loss  0.599134, Average Loss  0.600593, Time  0.240531
2021-09-15 07:18:18.840178 : Epoch 10, Batch    684, Loss  0.600195, Average Loss  0.600568, Time  0.243646
2021-09-15 07:18:20.380705 : Epoch 10, Batch    685, Loss  0.591969, Average Loss  0.600534, Time  0.239987
2021-09-15 07:18:21.951626 : Epoch 10, Batch    686, Loss  0.603576, Average Loss  0.600564, Time  0.257089
2021-09-15 07:18:23.491278 : Epoch 10, Batch    687, Loss  0.608978, Average Loss  0.600619, Time  0.238589
2021-09-15 07:18:27.614542 : Epoch 10, Batch    688, Loss  0.594656, Average Loss  0.600644, Time  0.269654
2021-09-15 07:18:29.181458 : Epoch 10, Batch    689, Loss  0.604844, Average Loss  0.600708, Time  0.244542
2021-09-15 07:18:30.728438 : Epoch 10, Batch    690, Loss  0.609773, Average Loss  0.600744, Time  0.241397
2021-09-15 07:18:32.278053 : Epoch 10, Batch    691, Loss  0.604446, Average Loss  0.600815, Time  0.242341
2021-09-15 07:18:33.810300 : Epoch 10, Batch    692, Loss  0.594279, Average Loss  0.600732, Time  0.240559
2021-09-15 07:18:35.350307 : Epoch 10, Batch    693, Loss  0.606600, Average Loss  0.600746, Time  0.240069
2021-09-15 07:18:36.901949 : Epoch 10, Batch    694, Loss  0.604870, Average Loss  0.600773, Time  0.240181
2021-09-15 07:18:38.429804 : Epoch 10, Batch    695, Loss  0.595951, Average Loss  0.600721, Time  0.238498
2021-09-15 07:18:39.968594 : Epoch 10, Batch    696, Loss  0.602936, Average Loss  0.600688, Time  0.239739
2021-09-15 07:18:41.520099 : Epoch 10, Batch    697, Loss  0.605993, Average Loss  0.600759, Time  0.239051
2021-09-15 07:18:43.062396 : Epoch 10, Batch    698, Loss  0.606048, Average Loss  0.600846, Time  0.238906
2021-09-15 07:18:44.625727 : Epoch 10, Batch    699, Loss  0.606917, Average Loss  0.600846, Time  0.237048
2021-09-15 07:18:46.222115 : Epoch 10, Batch    700, Loss  0.595881, Average Loss  0.600771, Time  0.239324
2021-09-15 07:18:47.804090 : Epoch 10, Batch    701, Loss  0.593072, Average Loss  0.600758, Time  0.241572
2021-09-15 07:18:49.359850 : Epoch 10, Batch    702, Loss  0.621779, Average Loss  0.600866, Time  0.237493
2021-09-15 07:18:50.935880 : Epoch 10, Batch    703, Loss  0.600835, Average Loss  0.600842, Time  0.237448
2021-09-15 07:18:52.490512 : Epoch 10, Batch    704, Loss  0.608412, Average Loss  0.600910, Time  0.237409
2021-09-15 07:18:54.049714 : Epoch 10, Batch    705, Loss  0.607941, Average Loss  0.600950, Time  0.237471
2021-09-15 07:18:55.610769 : Epoch 10, Batch    706, Loss  0.610395, Average Loss  0.600979, Time  0.240694
2021-09-15 07:18:57.141566 : Epoch 10, Batch    707, Loss  0.590408, Average Loss  0.600916, Time  0.239879
2021-09-15 07:18:58.675387 : Epoch 10, Batch    708, Loss  0.608740, Average Loss  0.600993, Time  0.239160
2021-09-15 07:19:00.369166 : Epoch 10, Batch    709, Loss  0.585352, Average Loss  0.600844, Time  0.259872
2021-09-15 07:19:01.961721 : Epoch 10, Batch    710, Loss  0.590758, Average Loss  0.600842, Time  0.238663
2021-09-15 07:19:03.530180 : Epoch 10, Batch    711, Loss  0.600391, Average Loss  0.600815, Time  0.238322
2021-09-15 07:19:05.090064 : Epoch 10, Batch    712, Loss  0.602453, Average Loss  0.600810, Time  0.237429
2021-09-15 07:19:06.649536 : Epoch 10, Batch    713, Loss  0.608328, Average Loss  0.600791, Time  0.237464
2021-09-15 07:19:08.221212 : Epoch 10, Batch    714, Loss  0.608943, Average Loss  0.600800, Time  0.246713
2021-09-15 07:19:09.823558 : Epoch 10, Batch    715, Loss  0.619365, Average Loss  0.600857, Time  0.240233
2021-09-15 07:19:11.373870 : Epoch 10, Batch    716, Loss  0.607352, Average Loss  0.600833, Time  0.236455
2021-09-15 07:19:12.927495 : Epoch 10, Batch    717, Loss  0.615052, Average Loss  0.600945, Time  0.243094
2021-09-15 07:20:10.093741 : CheckPoint: Validation Loss  0.00025450, Best Loss  0.00024247
2021-09-15 07:20:11.654617 : Epoch 10, Batch    718, Loss  0.601115, Average Loss  0.600912, Time  0.272503
2021-09-15 07:20:13.198411 : Epoch 10, Batch    719, Loss  0.587902, Average Loss  0.600808, Time  0.252494
2021-09-15 07:20:14.734356 : Epoch 10, Batch    720, Loss  0.598997, Average Loss  0.600802, Time  0.241661
2021-09-15 07:20:16.274585 : Epoch 10, Batch    721, Loss  0.604524, Average Loss  0.600786, Time  0.241979
2021-09-15 07:20:17.812027 : Epoch 10, Batch    722, Loss  0.599770, Average Loss  0.600804, Time  0.239080
2021-09-15 07:20:19.491040 : Epoch 10, Batch    723, Loss  0.605765, Average Loss  0.600860, Time  0.259278
2021-09-15 07:20:21.217087 : Epoch 10, Batch    724, Loss  0.596630, Average Loss  0.600873, Time  0.261848
2021-09-15 07:20:22.898821 : Epoch 10, Batch    725, Loss  0.596104, Average Loss  0.600822, Time  0.240205
2021-09-15 07:20:24.434516 : Epoch 10, Batch    726, Loss  0.607288, Average Loss  0.600890, Time  0.238886
2021-09-15 07:20:25.964045 : Epoch 10, Batch    727, Loss  0.608148, Average Loss  0.600966, Time  0.237556
2021-09-15 07:20:27.506409 : Epoch 10, Batch    728, Loss  0.597677, Average Loss  0.600883, Time  0.240036
2021-09-15 07:20:29.048434 : Epoch 10, Batch    729, Loss  0.590591, Average Loss  0.600811, Time  0.239632
2021-09-15 07:20:30.577758 : Epoch 10, Batch    730, Loss  0.605224, Average Loss  0.600780, Time  0.238931
2021-09-15 07:20:32.113407 : Epoch 10, Batch    731, Loss  0.604430, Average Loss  0.600747, Time  0.238210
2021-09-15 07:20:33.660416 : Epoch 10, Batch    732, Loss  0.606233, Average Loss  0.600775, Time  0.241885
2021-09-15 07:20:35.202113 : Epoch 10, Batch    733, Loss  0.609319, Average Loss  0.600834, Time  0.240096
2021-09-15 07:20:36.735139 : Epoch 10, Batch    734, Loss  0.596305, Average Loss  0.600840, Time  0.241050
2021-09-15 07:20:38.262780 : Epoch 10, Batch    735, Loss  0.592549, Average Loss  0.600803, Time  0.238399
2021-09-15 07:20:39.835335 : Epoch 10, Batch    736, Loss  0.604978, Average Loss  0.600753, Time  0.239000
2021-09-15 07:20:41.423813 : Epoch 10, Batch    737, Loss  0.608453, Average Loss  0.600813, Time  0.238491
2021-09-15 07:20:42.978133 : Epoch 10, Batch    738, Loss  0.607070, Average Loss  0.600902, Time  0.237780
2021-09-15 07:20:44.533705 : Epoch 10, Batch    739, Loss  0.586545, Average Loss  0.600858, Time  0.237168
2021-09-15 07:20:46.108335 : Epoch 10, Batch    740, Loss  0.600359, Average Loss  0.600893, Time  0.245200
2021-09-15 07:20:47.713704 : Epoch 10, Batch    741, Loss  0.605425, Average Loss  0.600952, Time  0.242451
2021-09-15 07:20:49.268179 : Epoch 10, Batch    742, Loss  0.608533, Average Loss  0.601061, Time  0.235938
2021-09-15 07:20:50.820594 : Epoch 10, Batch    743, Loss  0.600673, Average Loss  0.601094, Time  0.240166
2021-09-15 07:20:52.368396 : Epoch 10, Batch    744, Loss  0.602898, Average Loss  0.601031, Time  0.241376
2021-09-15 07:20:53.912681 : Epoch 10, Batch    745, Loss  0.600613, Average Loss  0.601017, Time  0.241915
2021-09-15 07:20:55.454124 : Epoch 10, Batch    746, Loss  0.591922, Average Loss  0.600975, Time  0.240957
2021-09-15 07:20:57.015566 : Epoch 10, Batch    747, Loss  0.605754, Average Loss  0.600995, Time  0.241045
2021-09-15 07:20:58.576125 : Epoch 10, Batch    748, Loss  0.607083, Average Loss  0.601066, Time  0.236138
2021-09-15 07:21:00.125896 : Epoch 10, Batch    749, Loss  0.604503, Average Loss  0.601048, Time  0.236419
2021-09-15 07:21:01.678053 : Epoch 10, Batch    750, Loss  0.601783, Average Loss  0.601054, Time  0.237980
2021-09-15 07:21:03.246518 : Epoch 10, Batch    751, Loss  0.598743, Average Loss  0.601026, Time  0.238334
2021-09-15 07:21:04.791902 : Epoch 10, Batch    752, Loss  0.608664, Average Loss  0.600958, Time  0.236125
2021-09-15 07:21:06.340067 : Epoch 10, Batch    753, Loss  0.593901, Average Loss  0.600922, Time  0.236540
2021-09-15 07:21:07.893081 : Epoch 10, Batch    754, Loss  0.599132, Average Loss  0.600929, Time  0.237425
2021-09-15 07:21:09.469031 : Epoch 10, Batch    755, Loss  0.593364, Average Loss  0.600841, Time  0.237966
2021-09-15 07:21:11.030888 : Epoch 10, Batch    756, Loss  0.609212, Average Loss  0.600859, Time  0.238615
2021-09-15 07:21:12.565876 : Epoch 10, Batch    757, Loss  0.598769, Average Loss  0.600804, Time  0.236026
2021-09-15 07:21:14.109983 : Epoch 10, Batch    758, Loss  0.601057, Average Loss  0.600795, Time  0.235997
2021-09-15 07:21:15.654573 : Epoch 10, Batch    759, Loss  0.606899, Average Loss  0.600844, Time  0.238378
2021-09-15 07:21:17.216926 : Epoch 10, Batch    760, Loss  0.612154, Average Loss  0.600970, Time  0.242073
2021-09-15 07:21:18.771309 : Epoch 10, Batch    761, Loss  0.614669, Average Loss  0.601018, Time  0.241849
2021-09-15 07:21:20.320738 : Epoch 10, Batch    762, Loss  0.593163, Average Loss  0.601006, Time  0.240094
2021-09-15 07:21:21.875297 : Epoch 10, Batch    763, Loss  0.598740, Average Loss  0.601044, Time  0.240131
2021-09-15 07:21:23.450696 : Epoch 10, Batch    764, Loss  0.603932, Average Loss  0.601086, Time  0.243676
2021-09-15 07:21:25.026487 : Epoch 10, Batch    765, Loss  0.611953, Average Loss  0.601122, Time  0.238183
2021-09-15 07:21:26.562472 : Epoch 10, Batch    766, Loss  0.600340, Average Loss  0.601147, Time  0.238318
2021-09-15 07:21:28.090013 : Epoch 10, Batch    767, Loss  0.599143, Average Loss  0.601191, Time  0.239987
2021-09-15 07:21:29.635899 : Epoch 10, Batch    768, Loss  0.594349, Average Loss  0.601173, Time  0.240133
2021-09-15 07:21:31.351315 : Epoch 10, Batch    769, Loss  0.605676, Average Loss  0.601260, Time  0.259574
2021-09-15 07:21:32.889061 : Epoch 10, Batch    770, Loss  0.610428, Average Loss  0.601311, Time  0.239066
2021-09-15 07:21:34.579021 : Epoch 10, Batch    771, Loss  0.599754, Average Loss  0.601277, Time  0.259895
2021-09-15 07:21:36.288391 : Epoch 10, Batch    772, Loss  0.610271, Average Loss  0.601304, Time  0.262797
2021-09-15 07:21:38.012090 : Epoch 10, Batch    773, Loss  0.589270, Average Loss  0.601281, Time  0.262382
2021-09-15 07:21:39.552887 : Epoch 10, Batch    774, Loss  0.604472, Average Loss  0.601301, Time  0.239429
2021-09-15 07:21:41.123428 : Epoch 10, Batch    775, Loss  0.600717, Average Loss  0.601329, Time  0.237423
2021-09-15 07:21:42.677388 : Epoch 10, Batch    776, Loss  0.602059, Average Loss  0.601354, Time  0.240524
2021-09-15 07:21:44.219869 : Epoch 10, Batch    777, Loss  0.596261, Average Loss  0.601310, Time  0.240479
2021-09-15 07:21:45.751026 : Epoch 10, Batch    778, Loss  0.602252, Average Loss  0.601347, Time  0.239290
2021-09-15 07:21:47.282743 : Epoch 10, Batch    779, Loss  0.599392, Average Loss  0.601345, Time  0.239270
2021-09-15 07:21:48.811145 : Epoch 10, Batch    780, Loss  0.604179, Average Loss  0.601310, Time  0.240847
2021-09-15 07:21:50.362954 : Epoch 10, Batch    781, Loss  0.601587, Average Loss  0.601328, Time  0.241683
2021-09-15 07:21:51.913964 : Epoch 10, Batch    782, Loss  0.614414, Average Loss  0.601366, Time  0.239132
2021-09-15 07:21:53.459668 : Epoch 10, Batch    783, Loss  0.606365, Average Loss  0.601382, Time  0.239551
2021-09-15 07:21:55.000854 : Epoch 10, Batch    784, Loss  0.601022, Average Loss  0.601372, Time  0.239581
2021-09-15 07:21:56.699902 : Epoch 10, Batch    785, Loss  0.592680, Average Loss  0.601241, Time  0.257772
2021-09-15 07:21:58.391797 : Epoch 10, Batch    786, Loss  0.590563, Average Loss  0.601177, Time  0.259854
2021-09-15 07:21:59.966848 : Epoch 10, Batch    787, Loss  0.603979, Average Loss  0.601201, Time  0.259983
2021-09-15 07:22:00.001565 : Saving Model after 10-th Epoch.
2021-09-15 07:22:03.539950 : Epoch Finished.
2021-09-15 07:22:16.879500 : CheckPoint: Validation Loss  0.00030368, Best Loss  0.00029571
2021-09-15 07:22:19.918712 : Epoch  2, Batch   1345, Loss  0.866529, Average Loss  0.870332, Time  0.266682
2021-09-15 07:22:22.939226 : Epoch  2, Batch   1346, Loss  0.888074, Average Loss  0.870464, Time  0.264830
2021-09-15 07:22:25.938902 : Epoch  2, Batch   1347, Loss  0.900762, Average Loss  0.870577, Time  0.264609
2021-09-15 07:22:28.972151 : Epoch  2, Batch   1348, Loss  0.863685, Average Loss  0.870598, Time  0.265440
2021-09-15 07:22:32.009833 : Epoch  2, Batch   1349, Loss  0.866624, Average Loss  0.870492, Time  0.265040
2021-09-15 07:22:35.055854 : Epoch  2, Batch   1350, Loss  0.870314, Average Loss  0.870513, Time  0.275187
2021-09-15 07:22:38.066849 : Epoch  2, Batch   1351, Loss  0.866964, Average Loss  0.870647, Time  0.265348
2021-09-15 07:22:41.102681 : Epoch  2, Batch   1352, Loss  0.866708, Average Loss  0.870728, Time  0.264988
2021-09-15 07:22:44.135999 : Epoch  2, Batch   1353, Loss  0.851091, Average Loss  0.870631, Time  0.265338
2021-09-15 07:22:47.193118 : Epoch  2, Batch   1354, Loss  0.889399, Average Loss  0.870674, Time  0.265700
2021-09-15 07:22:50.203387 : Epoch  2, Batch   1355, Loss  0.871731, Average Loss  0.870829, Time  0.265476
2021-09-15 07:22:53.227193 : Epoch  2, Batch   1356, Loss  0.888106, Average Loss  0.870971, Time  0.264918
2021-09-15 07:22:56.281293 : Epoch  2, Batch   1357, Loss  0.872586, Average Loss  0.870881, Time  0.265289
2021-09-15 07:22:59.292878 : Epoch  2, Batch   1358, Loss  0.896080, Average Loss  0.871006, Time  0.266249
2021-09-15 07:23:02.297755 : Epoch  2, Batch   1359, Loss  0.847362, Average Loss  0.870845, Time  0.265077
2021-09-15 07:23:05.326180 : Epoch  2, Batch   1360, Loss  0.855813, Average Loss  0.870690, Time  0.267168
2021-09-15 07:23:08.373579 : Epoch  2, Batch   1361, Loss  0.861993, Average Loss  0.870625, Time  0.264613
2021-09-15 07:23:11.385148 : Epoch  2, Batch   1362, Loss  0.851457, Average Loss  0.870505, Time  0.264642
2021-09-15 07:23:14.385749 : Epoch  2, Batch   1363, Loss  0.874779, Average Loss  0.870511, Time  0.265087
2021-09-15 07:23:17.402539 : Epoch  2, Batch   1364, Loss  0.845034, Average Loss  0.870410, Time  0.264977
2021-09-15 07:23:20.442813 : Epoch  2, Batch   1365, Loss  0.862246, Average Loss  0.870311, Time  0.279109
2021-09-15 07:23:23.445138 : Epoch  2, Batch   1366, Loss  0.849169, Average Loss  0.870080, Time  0.265201
2021-09-15 07:23:26.474346 : Epoch  2, Batch   1367, Loss  0.888734, Average Loss  0.870212, Time  0.266036
2021-09-15 07:23:29.506863 : Epoch  2, Batch   1368, Loss  0.885876, Average Loss  0.870244, Time  0.265495
2021-09-15 07:23:32.519290 : Epoch  2, Batch   1369, Loss  0.872742, Average Loss  0.870352, Time  0.264676
2021-09-15 07:23:35.513674 : Epoch  2, Batch   1370, Loss  0.877723, Average Loss  0.870371, Time  0.264163
2021-09-15 07:23:38.513216 : Epoch  2, Batch   1371, Loss  0.874872, Average Loss  0.870443, Time  0.264870
2021-09-15 07:23:41.527432 : Epoch  2, Batch   1372, Loss  0.857198, Average Loss  0.870316, Time  0.264735
2021-09-15 07:23:44.544004 : Epoch  2, Batch   1373, Loss  0.878761, Average Loss  0.870460, Time  0.265153
2021-09-15 07:23:47.547961 : Epoch  2, Batch   1374, Loss  0.874868, Average Loss  0.870424, Time  0.264282
2021-09-15 07:23:50.566445 : Epoch  2, Batch   1375, Loss  0.872722, Average Loss  0.870377, Time  0.265697
2021-09-15 07:23:53.575998 : Epoch  2, Batch   1376, Loss  0.851736, Average Loss  0.870164, Time  0.265515
2021-09-15 07:23:56.602772 : Epoch  2, Batch   1377, Loss  0.887826, Average Loss  0.870328, Time  0.265355
2021-09-15 07:23:59.595820 : Epoch  2, Batch   1378, Loss  0.841955, Average Loss  0.870224, Time  0.265680
2021-09-15 07:24:02.631962 : Epoch  2, Batch   1379, Loss  0.903870, Average Loss  0.870407, Time  0.266356
2021-09-15 07:24:05.676785 : Epoch  2, Batch   1380, Loss  0.869726, Average Loss  0.870533, Time  0.274685
2021-09-15 07:24:08.679965 : Epoch  2, Batch   1381, Loss  0.861840, Average Loss  0.870493, Time  0.264659
2021-09-15 07:24:11.742118 : Epoch  2, Batch   1382, Loss  0.864690, Average Loss  0.870418, Time  0.268147
2021-09-15 07:24:14.816578 : Epoch  2, Batch   1383, Loss  0.879821, Average Loss  0.870443, Time  0.265804
2021-09-15 07:24:17.876764 : Epoch  2, Batch   1384, Loss  0.872122, Average Loss  0.870446, Time  0.265371
2021-09-15 07:24:20.881424 : Epoch  2, Batch   1385, Loss  0.885750, Average Loss  0.870477, Time  0.265304
2021-09-15 07:24:23.887542 : Epoch  2, Batch   1386, Loss  0.881821, Average Loss  0.870480, Time  0.264616
2021-09-15 07:24:26.891659 : Epoch  2, Batch   1387, Loss  0.850504, Average Loss  0.870367, Time  0.267140
2021-09-15 07:24:29.892706 : Epoch  2, Batch   1388, Loss  0.876868, Average Loss  0.870443, Time  0.264859
2021-09-15 07:24:32.884260 : Epoch  2, Batch   1389, Loss  0.879252, Average Loss  0.870459, Time  0.266042
2021-09-15 07:24:35.907438 : Epoch  2, Batch   1390, Loss  0.853643, Average Loss  0.870434, Time  0.265450
2021-09-15 07:24:38.937398 : Epoch  2, Batch   1391, Loss  0.873449, Average Loss  0.870369, Time  0.265525
2021-09-15 07:24:41.949270 : Epoch  2, Batch   1392, Loss  0.880458, Average Loss  0.870534, Time  0.264489
2021-09-15 07:24:44.945431 : Epoch  2, Batch   1393, Loss  0.873929, Average Loss  0.870468, Time  0.265077
2021-09-15 07:24:47.988698 : Epoch  2, Batch   1394, Loss  0.879959, Average Loss  0.870496, Time  0.265033
2021-09-15 07:24:51.016073 : Epoch  2, Batch   1395, Loss  0.865099, Average Loss  0.870538, Time  0.279034
2021-09-15 07:24:54.037253 : Epoch  2, Batch   1396, Loss  0.860182, Average Loss  0.870530, Time  0.266542
2021-09-15 07:24:57.070922 : Epoch  2, Batch   1397, Loss  0.883284, Average Loss  0.870634, Time  0.266949
2021-09-15 07:25:00.096522 : Epoch  2, Batch   1398, Loss  0.887358, Average Loss  0.870733, Time  0.265005
2021-09-15 07:25:03.146824 : Epoch  2, Batch   1399, Loss  0.873704, Average Loss  0.870746, Time  0.266075
2021-09-15 07:25:06.189968 : Epoch  2, Batch   1400, Loss  0.850715, Average Loss  0.870609, Time  0.265070
2021-09-15 07:25:09.195704 : Epoch  2, Batch   1401, Loss  0.867905, Average Loss  0.870574, Time  0.264633
2021-09-15 07:25:12.218530 : Epoch  2, Batch   1402, Loss  0.880964, Average Loss  0.870768, Time  0.265464
2021-09-15 07:25:15.267875 : Epoch  2, Batch   1403, Loss  0.869360, Average Loss  0.870782, Time  0.264571
2021-09-15 07:25:18.272246 : Epoch  2, Batch   1404, Loss  0.865760, Average Loss  0.870814, Time  0.264772
2021-09-15 07:25:21.304126 : Epoch  2, Batch   1405, Loss  0.864688, Average Loss  0.870857, Time  0.265440
2021-09-15 07:25:24.382249 : Epoch  2, Batch   1406, Loss  0.866861, Average Loss  0.870914, Time  0.266265
2021-09-15 07:25:27.396940 : Epoch  2, Batch   1407, Loss  0.854285, Average Loss  0.870930, Time  0.265539
2021-09-15 07:25:30.424391 : Epoch  2, Batch   1408, Loss  0.839190, Average Loss  0.870806, Time  0.266982
2021-09-15 07:25:33.419827 : Epoch  2, Batch   1409, Loss  0.842698, Average Loss  0.870655, Time  0.264653
2021-09-15 07:25:36.427860 : Epoch  2, Batch   1410, Loss  0.866473, Average Loss  0.870600, Time  0.272746
2021-09-15 07:25:39.433470 : Epoch  2, Batch   1411, Loss  0.884877, Average Loss  0.870693, Time  0.265121
2021-09-15 07:25:42.436147 : Epoch  2, Batch   1412, Loss  0.869329, Average Loss  0.870672, Time  0.265657
2021-09-15 07:25:45.465409 : Epoch  2, Batch   1413, Loss  0.856691, Average Loss  0.870588, Time  0.265150
2021-09-15 07:25:48.479829 : Epoch  2, Batch   1414, Loss  0.870723, Average Loss  0.870662, Time  0.264679
2021-09-15 07:25:51.482445 : Epoch  2, Batch   1415, Loss  0.854324, Average Loss  0.870520, Time  0.264862
2021-09-15 07:25:54.482480 : Epoch  2, Batch   1416, Loss  0.875368, Average Loss  0.870509, Time  0.267033
2021-09-15 07:25:57.482436 : Epoch  2, Batch   1417, Loss  0.877474, Average Loss  0.870535, Time  0.265861
2021-09-15 07:26:00.495840 : Epoch  2, Batch   1418, Loss  0.873669, Average Loss  0.870677, Time  0.264746
2021-09-15 07:26:03.504663 : Epoch  2, Batch   1419, Loss  0.873357, Average Loss  0.870615, Time  0.266225
2021-09-15 07:26:06.542384 : Epoch  2, Batch   1420, Loss  0.869987, Average Loss  0.870625, Time  0.265353
2021-09-15 07:26:09.567299 : Epoch  2, Batch   1421, Loss  0.858271, Average Loss  0.870600, Time  0.266826
2021-09-15 07:26:12.568129 : Epoch  2, Batch   1422, Loss  0.871350, Average Loss  0.870567, Time  0.265391
2021-09-15 07:26:15.570217 : Epoch  2, Batch   1423, Loss  0.849862, Average Loss  0.870356, Time  0.264344
2021-09-15 07:26:18.578953 : Epoch  2, Batch   1424, Loss  0.865269, Average Loss  0.870315, Time  0.266029
2021-09-15 07:26:21.610931 : Epoch  2, Batch   1425, Loss  0.889530, Average Loss  0.870513, Time  0.278393
2021-09-15 07:26:24.643819 : Epoch  2, Batch   1426, Loss  0.850401, Average Loss  0.870458, Time  0.266775
2021-09-15 07:26:27.644256 : Epoch  2, Batch   1427, Loss  0.867243, Average Loss  0.870470, Time  0.264781
2021-09-15 07:26:30.642179 : Epoch  2, Batch   1428, Loss  0.889617, Average Loss  0.870613, Time  0.265765
2021-09-15 07:26:33.665078 : Epoch  2, Batch   1429, Loss  0.865581, Average Loss  0.870602, Time  0.265009
2021-09-15 07:26:36.671291 : Epoch  2, Batch   1430, Loss  0.861446, Average Loss  0.870459, Time  0.264274
2021-09-15 07:26:39.675671 : Epoch  2, Batch   1431, Loss  0.868848, Average Loss  0.870480, Time  0.264035
2021-09-15 07:26:42.672964 : Epoch  2, Batch   1432, Loss  0.870394, Average Loss  0.870369, Time  0.264933
2021-09-15 07:26:45.669834 : Epoch  2, Batch   1433, Loss  0.881789, Average Loss  0.870414, Time  0.265446
2021-09-15 07:26:48.682781 : Epoch  2, Batch   1434, Loss  0.863579, Average Loss  0.870359, Time  0.264342
2021-09-15 07:26:51.727890 : Epoch  2, Batch   1435, Loss  0.884958, Average Loss  0.870495, Time  0.264663
2021-09-15 07:26:54.782067 : Epoch  2, Batch   1436, Loss  0.877386, Average Loss  0.870674, Time  0.265538
2021-09-15 07:26:57.806576 : Epoch  2, Batch   1437, Loss  0.886881, Average Loss  0.870664, Time  0.266602
2021-09-15 07:27:00.818619 : Epoch  2, Batch   1438, Loss  0.859747, Average Loss  0.870544, Time  0.264562
2021-09-15 07:27:03.826598 : Epoch  2, Batch   1439, Loss  0.872914, Average Loss  0.870568, Time  0.265802
2021-09-15 07:27:06.881809 : Epoch  2, Batch   1440, Loss  0.877277, Average Loss  0.870645, Time  0.280214
2021-09-15 07:27:09.937232 : Epoch  2, Batch   1441, Loss  0.899409, Average Loss  0.870799, Time  0.265544
2021-09-15 07:27:12.950169 : Epoch  2, Batch   1442, Loss  0.875175, Average Loss  0.870874, Time  0.265451
2021-09-15 07:27:15.960022 : Epoch  2, Batch   1443, Loss  0.877960, Average Loss  0.870889, Time  0.264403
2021-09-15 07:27:19.001608 : Epoch  2, Batch   1444, Loss  0.870982, Average Loss  0.870827, Time  0.264868
2021-09-15 07:31:59.249559 : CheckPoint: Validation Loss  0.00030388, Best Loss  0.00029571
2021-09-15 07:32:02.238715 : Epoch  2, Batch   1445, Loss  0.873894, Average Loss  0.870818, Time  0.266551
2021-09-15 07:32:05.226419 : Epoch  2, Batch   1446, Loss  0.881752, Average Loss  0.870826, Time  0.264963
2021-09-15 07:32:08.228623 : Epoch  2, Batch   1447, Loss  0.865828, Average Loss  0.870895, Time  0.266080
2021-09-15 07:32:11.224412 : Epoch  2, Batch   1448, Loss  0.859207, Average Loss  0.870884, Time  0.264377
2021-09-15 07:32:14.205417 : Epoch  2, Batch   1449, Loss  0.872944, Average Loss  0.870787, Time  0.264868
2021-09-15 07:32:17.193789 : Epoch  2, Batch   1450, Loss  0.878710, Average Loss  0.870909, Time  0.264716
2021-09-15 07:32:20.188235 : Epoch  2, Batch   1451, Loss  0.885295, Average Loss  0.870957, Time  0.264547
2021-09-15 07:32:23.187655 : Epoch  2, Batch   1452, Loss  0.869759, Average Loss  0.870962, Time  0.264635
2021-09-15 07:32:26.225462 : Epoch  2, Batch   1453, Loss  0.867660, Average Loss  0.870890, Time  0.272375
2021-09-15 07:32:29.242047 : Epoch  2, Batch   1454, Loss  0.873441, Average Loss  0.870965, Time  0.265517
2021-09-15 07:32:32.269578 : Epoch  2, Batch   1455, Loss  0.849118, Average Loss  0.870884, Time  0.264730
2021-09-15 07:32:35.258920 : Epoch  2, Batch   1456, Loss  0.844150, Average Loss  0.870740, Time  0.265303
2021-09-15 07:32:38.299361 : Epoch  2, Batch   1457, Loss  0.865710, Average Loss  0.870700, Time  0.266997
2021-09-15 07:32:41.331634 : Epoch  2, Batch   1458, Loss  0.859843, Average Loss  0.870679, Time  0.265924
2021-09-15 07:32:44.339279 : Epoch  2, Batch   1459, Loss  0.863206, Average Loss  0.870663, Time  0.265242
2021-09-15 07:32:47.338456 : Epoch  2, Batch   1460, Loss  0.864126, Average Loss  0.870604, Time  0.264678
2021-09-15 07:32:50.353406 : Epoch  2, Batch   1461, Loss  0.882837, Average Loss  0.870751, Time  0.264925
2021-09-15 07:32:53.372018 : Epoch  2, Batch   1462, Loss  0.900140, Average Loss  0.870883, Time  0.265875
2021-09-15 07:32:56.374116 : Epoch  2, Batch   1463, Loss  0.862485, Average Loss  0.870793, Time  0.264782
2021-09-15 07:32:59.369752 : Epoch  2, Batch   1464, Loss  0.864244, Average Loss  0.870806, Time  0.264839
2021-09-15 07:33:02.368747 : Epoch  2, Batch   1465, Loss  0.850986, Average Loss  0.870709, Time  0.265285
2021-09-15 07:33:05.360068 : Epoch  2, Batch   1466, Loss  0.885110, Average Loss  0.870815, Time  0.263921
2021-09-15 07:33:08.357902 : Epoch  2, Batch   1467, Loss  0.879602, Average Loss  0.870835, Time  0.264291
2021-09-15 07:33:11.356341 : Epoch  2, Batch   1468, Loss  0.882005, Average Loss  0.870933, Time  0.271172
2021-09-15 07:33:14.342331 : Epoch  2, Batch   1469, Loss  0.892925, Average Loss  0.870968, Time  0.265459
2021-09-15 07:33:17.377282 : Epoch  2, Batch   1470, Loss  0.864707, Average Loss  0.871031, Time  0.264567
2021-09-15 07:33:20.368673 : Epoch  2, Batch   1471, Loss  0.867611, Average Loss  0.871063, Time  0.264883
2021-09-15 07:33:23.368664 : Epoch  2, Batch   1472, Loss  0.860820, Average Loss  0.870980, Time  0.264119
2021-09-15 07:33:26.361360 : Epoch  2, Batch   1473, Loss  0.868848, Average Loss  0.871017, Time  0.265307
2021-09-15 07:33:29.374772 : Epoch  2, Batch   1474, Loss  0.889282, Average Loss  0.871011, Time  0.263166
2021-09-15 07:33:32.360820 : Epoch  2, Batch   1475, Loss  0.866104, Average Loss  0.870963, Time  0.265163
2021-09-15 07:33:35.374395 : Epoch  2, Batch   1476, Loss  0.887498, Average Loss  0.871145, Time  0.265465
2021-09-15 07:33:38.386539 : Epoch  2, Batch   1477, Loss  0.884589, Average Loss  0.871287, Time  0.266577
2021-09-15 07:33:41.408984 : Epoch  2, Batch   1478, Loss  0.878804, Average Loss  0.871389, Time  0.264555
2021-09-15 07:33:44.485457 : Epoch  2, Batch   1479, Loss  0.867978, Average Loss  0.871294, Time  0.268920
2021-09-15 07:33:47.493010 : Epoch  2, Batch   1480, Loss  0.864693, Average Loss  0.871262, Time  0.265890
2021-09-15 07:33:50.481276 : Epoch  2, Batch   1481, Loss  0.876402, Average Loss  0.871270, Time  0.265720
2021-09-15 07:33:53.474843 : Epoch  2, Batch   1482, Loss  0.882164, Average Loss  0.871365, Time  0.265068
2021-09-15 07:33:56.485691 : Epoch  2, Batch   1483, Loss  0.871268, Average Loss  0.871250, Time  0.271832
2021-09-15 07:33:59.484088 : Epoch  2, Batch   1484, Loss  0.851310, Average Loss  0.871179, Time  0.265462
2021-09-15 07:34:02.474400 : Epoch  2, Batch   1485, Loss  0.881813, Average Loss  0.871205, Time  0.265002
2021-09-15 07:34:05.481743 : Epoch  2, Batch   1486, Loss  0.873191, Average Loss  0.871235, Time  0.265268
2021-09-15 07:34:08.486422 : Epoch  2, Batch   1487, Loss  0.877628, Average Loss  0.871279, Time  0.265438
2021-09-15 07:34:11.485039 : Epoch  2, Batch   1488, Loss  0.856750, Average Loss  0.871187, Time  0.265005
2021-09-15 07:34:14.488756 : Epoch  2, Batch   1489, Loss  0.873787, Average Loss  0.871216, Time  0.265350
2021-09-15 07:34:17.475396 : Epoch  2, Batch   1490, Loss  0.871050, Average Loss  0.871113, Time  0.265382
2021-09-15 07:34:20.516600 : Epoch  2, Batch   1491, Loss  0.868131, Average Loss  0.871158, Time  0.266004
2021-09-15 07:34:23.552350 : Epoch  2, Batch   1492, Loss  0.867205, Average Loss  0.871235, Time  0.267208
2021-09-15 07:34:26.645456 : Epoch  2, Batch   1493, Loss  0.861973, Average Loss  0.871246, Time  0.265010
2021-09-15 07:34:29.654209 : Epoch  2, Batch   1494, Loss  0.864308, Average Loss  0.871190, Time  0.265005
2021-09-15 07:34:32.686879 : Epoch  2, Batch   1495, Loss  0.887420, Average Loss  0.871288, Time  0.265914
2021-09-15 07:34:35.679507 : Epoch  2, Batch   1496, Loss  0.875672, Average Loss  0.871167, Time  0.264807
2021-09-15 07:34:38.696429 : Epoch  2, Batch   1497, Loss  0.863442, Average Loss  0.871218, Time  0.266995
2021-09-15 07:34:41.741664 : Epoch  2, Batch   1498, Loss  0.861382, Average Loss  0.871076, Time  0.276903
2021-09-15 07:34:44.742706 : Epoch  2, Batch   1499, Loss  0.860616, Average Loss  0.871036, Time  0.266441
2021-09-15 07:34:47.777992 : Epoch  2, Batch   1500, Loss  0.875574, Average Loss  0.870966, Time  0.266401
2021-09-15 07:34:50.780837 : Epoch  2, Batch   1501, Loss  0.856697, Average Loss  0.870915, Time  0.265061
2021-09-15 07:34:53.781967 : Epoch  2, Batch   1502, Loss  0.867621, Average Loss  0.870920, Time  0.265944
2021-09-15 07:34:56.775790 : Epoch  2, Batch   1503, Loss  0.873955, Average Loss  0.870916, Time  0.265042
2021-09-15 07:34:59.770305 : Epoch  2, Batch   1504, Loss  0.894137, Average Loss  0.871114, Time  0.264503
2021-09-15 07:35:02.760666 : Epoch  2, Batch   1505, Loss  0.881311, Average Loss  0.871070, Time  0.264241
2021-09-15 07:35:05.753489 : Epoch  2, Batch   1506, Loss  0.868831, Average Loss  0.871090, Time  0.263641
2021-09-15 07:35:08.747023 : Epoch  2, Batch   1507, Loss  0.860566, Average Loss  0.871046, Time  0.264752
2021-09-15 07:35:11.743803 : Epoch  2, Batch   1508, Loss  0.843001, Average Loss  0.870851, Time  0.265733
2021-09-15 07:35:14.745220 : Epoch  2, Batch   1509, Loss  0.859534, Average Loss  0.870773, Time  0.264630
2021-09-15 07:35:17.771169 : Epoch  2, Batch   1510, Loss  0.885449, Average Loss  0.870804, Time  0.265096
2021-09-15 07:35:20.806712 : Epoch  2, Batch   1511, Loss  0.870679, Average Loss  0.870730, Time  0.265982
2021-09-15 07:35:23.838052 : Epoch  2, Batch   1512, Loss  0.875859, Average Loss  0.870806, Time  0.265325
2021-09-15 07:35:26.962952 : Epoch  2, Batch   1513, Loss  0.862890, Average Loss  0.870648, Time  0.276255
2021-09-15 07:35:29.954264 : Epoch  2, Batch   1514, Loss  0.875526, Average Loss  0.870706, Time  0.265877
2021-09-15 07:35:32.963209 : Epoch  2, Batch   1515, Loss  0.860839, Average Loss  0.870668, Time  0.264966
2021-09-15 07:35:35.952741 : Epoch  2, Batch   1516, Loss  0.856408, Average Loss  0.870460, Time  0.264656
2021-09-15 07:35:38.946739 : Epoch  2, Batch   1517, Loss  0.891226, Average Loss  0.870640, Time  0.268105
2021-09-15 07:35:41.968343 : Epoch  2, Batch   1518, Loss  0.865440, Average Loss  0.870605, Time  0.263767
2021-09-15 07:35:44.960452 : Epoch  2, Batch   1519, Loss  0.869082, Average Loss  0.870528, Time  0.267009
2021-09-15 07:35:47.963369 : Epoch  2, Batch   1520, Loss  0.869042, Average Loss  0.870573, Time  0.265981
2021-09-15 07:35:50.972067 : Epoch  2, Batch   1521, Loss  0.853314, Average Loss  0.870417, Time  0.264839
2021-09-15 07:35:53.946368 : Epoch  2, Batch   1522, Loss  0.882208, Average Loss  0.870442, Time  0.266144
2021-09-15 07:35:56.955203 : Epoch  2, Batch   1523, Loss  0.882928, Average Loss  0.870525, Time  0.264813
2021-09-15 07:35:59.966207 : Epoch  2, Batch   1524, Loss  0.865516, Average Loss  0.870586, Time  0.265356
2021-09-15 07:36:02.970550 : Epoch  2, Batch   1525, Loss  0.881382, Average Loss  0.870608, Time  0.264758
2021-09-15 07:36:05.981306 : Epoch  2, Batch   1526, Loss  0.871128, Average Loss  0.870757, Time  0.264462
2021-09-15 07:36:08.974238 : Epoch  2, Batch   1527, Loss  0.838145, Average Loss  0.870570, Time  0.264765
2021-09-15 07:36:11.995819 : Epoch  2, Batch   1528, Loss  0.886522, Average Loss  0.870670, Time  0.273246
2021-09-15 07:36:14.994919 : Epoch  2, Batch   1529, Loss  0.872799, Average Loss  0.870673, Time  0.264845
2021-09-15 07:36:17.978477 : Epoch  2, Batch   1530, Loss  0.885872, Average Loss  0.870722, Time  0.265278
2021-09-15 07:36:20.992726 : Epoch  2, Batch   1531, Loss  0.877151, Average Loss  0.870684, Time  0.265577
2021-09-15 07:36:24.021515 : Epoch  2, Batch   1532, Loss  0.876750, Average Loss  0.870658, Time  0.265281
2021-09-15 07:36:27.033994 : Epoch  2, Batch   1533, Loss  0.865465, Average Loss  0.870575, Time  0.265282
2021-09-15 07:36:30.038580 : Epoch  2, Batch   1534, Loss  0.894963, Average Loss  0.870850, Time  0.264291
2021-09-15 07:36:33.028329 : Epoch  2, Batch   1535, Loss  0.853506, Average Loss  0.870654, Time  0.264828
2021-09-15 07:36:36.056873 : Epoch  2, Batch   1536, Loss  0.884984, Average Loss  0.870634, Time  0.266323
2021-09-15 07:36:39.084433 : Epoch  2, Batch   1537, Loss  0.867746, Average Loss  0.870647, Time  0.265443
2021-09-15 07:36:42.131329 : Epoch  2, Batch   1538, Loss  0.874133, Average Loss  0.870715, Time  0.265015
2021-09-15 07:36:45.124738 : Epoch  2, Batch   1539, Loss  0.863292, Average Loss  0.870712, Time  0.265091
2021-09-15 07:36:48.112207 : Epoch  2, Batch   1540, Loss  0.874126, Average Loss  0.870733, Time  0.265114
2021-09-15 07:36:51.138928 : Epoch  2, Batch   1541, Loss  0.873379, Average Loss  0.870695, Time  0.265605
2021-09-15 07:36:54.128083 : Epoch  2, Batch   1542, Loss  0.860955, Average Loss  0.870664, Time  0.264863
2021-09-15 07:36:57.113667 : Epoch  2, Batch   1543, Loss  0.866734, Average Loss  0.870559, Time  0.273850
2021-09-15 07:37:00.113258 : Epoch  2, Batch   1544, Loss  0.869467, Average Loss  0.870635, Time  0.263625
2021-09-15 07:41:40.421243 : CheckPoint: Validation Loss  0.00030962, Best Loss  0.00029571
2021-09-15 07:41:43.429928 : Epoch  2, Batch   1545, Loss  0.874591, Average Loss  0.870675, Time  0.267552
2021-09-15 07:41:46.440547 : Epoch  2, Batch   1546, Loss  0.876914, Average Loss  0.870619, Time  0.264743
2021-09-15 07:41:49.432297 : Epoch  2, Batch   1547, Loss  0.866086, Average Loss  0.870446, Time  0.264942
2021-09-15 07:41:52.433611 : Epoch  2, Batch   1548, Loss  0.849132, Average Loss  0.870373, Time  0.264482
2021-09-15 07:41:55.416418 : Epoch  2, Batch   1549, Loss  0.874161, Average Loss  0.870411, Time  0.264430
2021-09-15 07:41:58.401699 : Epoch  2, Batch   1550, Loss  0.868863, Average Loss  0.870404, Time  0.265279
2021-09-15 07:42:01.408216 : Epoch  2, Batch   1551, Loss  0.867169, Average Loss  0.870405, Time  0.264734
2021-09-15 07:42:04.407021 : Epoch  2, Batch   1552, Loss  0.851818, Average Loss  0.870330, Time  0.265413
2021-09-15 07:42:07.403335 : Epoch  2, Batch   1553, Loss  0.873363, Average Loss  0.870442, Time  0.265078
2021-09-15 07:42:10.433403 : Epoch  2, Batch   1554, Loss  0.869944, Average Loss  0.870344, Time  0.265807
2021-09-15 07:42:13.454390 : Epoch  2, Batch   1555, Loss  0.883827, Average Loss  0.870405, Time  0.265376
2021-09-15 07:42:16.460456 : Epoch  2, Batch   1556, Loss  0.880643, Average Loss  0.870367, Time  0.265965
2021-09-15 07:42:19.464802 : Epoch  2, Batch   1557, Loss  0.864448, Average Loss  0.870327, Time  0.275904
2021-09-15 07:42:22.508683 : Epoch  2, Batch   1558, Loss  0.868843, Average Loss  0.870191, Time  0.266697
2021-09-15 07:42:25.522694 : Epoch  2, Batch   1559, Loss  0.870190, Average Loss  0.870305, Time  0.265183
2021-09-15 07:42:28.541854 : Epoch  2, Batch   1560, Loss  0.856330, Average Loss  0.870307, Time  0.264702
2021-09-15 07:42:31.542664 : Epoch  2, Batch   1561, Loss  0.861844, Average Loss  0.870307, Time  0.265362
2021-09-15 07:42:34.545803 : Epoch  2, Batch   1562, Loss  0.879595, Average Loss  0.870447, Time  0.265162
2021-09-15 07:42:37.536989 : Epoch  2, Batch   1563, Loss  0.856739, Average Loss  0.870357, Time  0.265407
2021-09-15 07:42:40.534340 : Epoch  2, Batch   1564, Loss  0.839596, Average Loss  0.870330, Time  0.264566
2021-09-15 07:42:43.525024 : Epoch  2, Batch   1565, Loss  0.850761, Average Loss  0.870272, Time  0.265005
2021-09-15 07:42:46.512814 : Epoch  2, Batch   1566, Loss  0.874729, Average Loss  0.870400, Time  0.264608
2021-09-15 07:42:49.532482 : Epoch  2, Batch   1567, Loss  0.876082, Average Loss  0.870337, Time  0.265025
2021-09-15 07:42:52.518445 : Epoch  2, Batch   1568, Loss  0.874190, Average Loss  0.870279, Time  0.265097
2021-09-15 07:42:55.535637 : Epoch  2, Batch   1569, Loss  0.849933, Average Loss  0.870165, Time  0.264504
2021-09-15 07:42:58.536701 : Epoch  2, Batch   1570, Loss  0.865400, Average Loss  0.870103, Time  0.264798
2021-09-15 07:43:01.537986 : Epoch  2, Batch   1571, Loss  0.866341, Average Loss  0.870060, Time  0.264482
2021-09-15 07:43:04.578254 : Epoch  2, Batch   1572, Loss  0.881361, Average Loss  0.870181, Time  0.276411
2021-09-15 07:43:07.595268 : Epoch  2, Batch   1573, Loss  0.860388, Average Loss  0.870089, Time  0.265170
2021-09-15 07:43:10.660854 : Epoch  2, Batch   1574, Loss  0.864828, Average Loss  0.870039, Time  0.267386
2021-09-15 07:43:13.681341 : Epoch  2, Batch   1575, Loss  0.861937, Average Loss  0.869985, Time  0.264925
2021-09-15 07:43:16.685792 : Epoch  2, Batch   1576, Loss  0.892213, Average Loss  0.870187, Time  0.264291
2021-09-15 07:43:19.675206 : Epoch  2, Batch   1577, Loss  0.891156, Average Loss  0.870204, Time  0.266349
2021-09-15 07:43:22.669062 : Epoch  2, Batch   1578, Loss  0.890324, Average Loss  0.870446, Time  0.264897
2021-09-15 07:43:25.661747 : Epoch  2, Batch   1579, Loss  0.877888, Average Loss  0.870316, Time  0.266255
2021-09-15 07:43:28.708985 : Epoch  2, Batch   1580, Loss  0.859059, Average Loss  0.870263, Time  0.265358
2021-09-15 07:43:31.710121 : Epoch  2, Batch   1581, Loss  0.852488, Average Loss  0.870216, Time  0.264796
2021-09-15 07:43:34.702303 : Epoch  2, Batch   1582, Loss  0.850997, Average Loss  0.870147, Time  0.265959
2021-09-15 07:43:37.698459 : Epoch  2, Batch   1583, Loss  0.870700, Average Loss  0.870102, Time  0.265382
2021-09-15 07:43:40.706711 : Epoch  2, Batch   1584, Loss  0.876053, Average Loss  0.870122, Time  0.264613
2021-09-15 07:43:43.707021 : Epoch  2, Batch   1585, Loss  0.879028, Average Loss  0.870088, Time  0.264885
2021-09-15 07:43:46.697808 : Epoch  2, Batch   1586, Loss  0.856708, Average Loss  0.869962, Time  0.264147
2021-09-15 07:43:49.701630 : Epoch  2, Batch   1587, Loss  0.875645, Average Loss  0.870088, Time  0.277516
2021-09-15 07:43:52.732341 : Epoch  2, Batch   1588, Loss  0.875576, Average Loss  0.870082, Time  0.265086
2021-09-15 07:43:55.733721 : Epoch  2, Batch   1589, Loss  0.888526, Average Loss  0.870128, Time  0.265201
2021-09-15 07:43:58.740049 : Epoch  2, Batch   1590, Loss  0.893171, Average Loss  0.870326, Time  0.265057
2021-09-15 07:44:01.735403 : Epoch  2, Batch   1591, Loss  0.867346, Average Loss  0.870295, Time  0.264214
2021-09-15 07:44:04.726738 : Epoch  2, Batch   1592, Loss  0.866149, Average Loss  0.870224, Time  0.265069
2021-09-15 07:44:07.719624 : Epoch  2, Batch   1593, Loss  0.872925, Average Loss  0.870219, Time  0.264616
2021-09-15 07:44:10.724411 : Epoch  2, Batch   1594, Loss  0.868357, Average Loss  0.870161, Time  0.264807
2021-09-15 07:44:13.712840 : Epoch  2, Batch   1595, Loss  0.858401, Average Loss  0.870127, Time  0.264493
2021-09-15 07:44:16.741478 : Epoch  2, Batch   1596, Loss  0.863941, Average Loss  0.870146, Time  0.265363
2021-09-15 07:44:19.753086 : Epoch  2, Batch   1597, Loss  0.882933, Average Loss  0.870144, Time  0.266653
2021-09-15 07:44:22.769328 : Epoch  2, Batch   1598, Loss  0.859406, Average Loss  0.870004, Time  0.265819
2021-09-15 07:44:25.773358 : Epoch  2, Batch   1599, Loss  0.848362, Average Loss  0.869878, Time  0.266003
2021-09-15 07:44:28.773346 : Epoch  2, Batch   1600, Loss  0.873740, Average Loss  0.869993, Time  0.264933
2021-09-15 07:44:31.764947 : Epoch  2, Batch   1601, Loss  0.856291, Average Loss  0.869935, Time  0.264806
2021-09-15 07:44:34.773653 : Epoch  2, Batch   1602, Loss  0.861946, Average Loss  0.869840, Time  0.278032
2021-09-15 07:44:37.816201 : Epoch  2, Batch   1603, Loss  0.886735, Average Loss  0.869926, Time  0.266888
2021-09-15 07:44:40.851997 : Epoch  2, Batch   1604, Loss  0.869895, Average Loss  0.869947, Time  0.266669
2021-09-15 07:44:43.875318 : Epoch  2, Batch   1605, Loss  0.893287, Average Loss  0.870090, Time  0.265573
2021-09-15 07:44:46.871411 : Epoch  2, Batch   1606, Loss  0.857680, Average Loss  0.870044, Time  0.264302
2021-09-15 07:44:49.856704 : Epoch  2, Batch   1607, Loss  0.873287, Average Loss  0.870139, Time  0.264977
2021-09-15 07:44:52.880262 : Epoch  2, Batch   1608, Loss  0.882966, Average Loss  0.870358, Time  0.264684
2021-09-15 07:44:55.877677 : Epoch  2, Batch   1609, Loss  0.884405, Average Loss  0.870567, Time  0.265241
2021-09-15 07:44:58.872449 : Epoch  2, Batch   1610, Loss  0.872602, Average Loss  0.870597, Time  0.265265
2021-09-15 07:45:01.885566 : Epoch  2, Batch   1611, Loss  0.895179, Average Loss  0.870649, Time  0.264359
2021-09-15 07:45:04.882622 : Epoch  2, Batch   1612, Loss  0.873676, Average Loss  0.870671, Time  0.265084
2021-09-15 07:45:07.923341 : Epoch  2, Batch   1613, Loss  0.849826, Average Loss  0.870636, Time  0.264912
2021-09-15 07:45:10.922843 : Epoch  2, Batch   1614, Loss  0.859796, Average Loss  0.870582, Time  0.265425
2021-09-15 07:45:13.958497 : Epoch  2, Batch   1615, Loss  0.878285, Average Loss  0.870701, Time  0.265179
2021-09-15 07:45:16.983900 : Epoch  2, Batch   1616, Loss  0.876534, Average Loss  0.870707, Time  0.265772
2021-09-15 07:45:20.008746 : Epoch  2, Batch   1617, Loss  0.871108, Average Loss  0.870675, Time  0.273179
2021-09-15 07:45:23.007412 : Epoch  2, Batch   1618, Loss  0.881096, Average Loss  0.870712, Time  0.266048
2021-09-15 07:45:26.022152 : Epoch  2, Batch   1619, Loss  0.892597, Average Loss  0.870809, Time  0.265638
2021-09-15 07:45:29.063968 : Epoch  2, Batch   1620, Loss  0.866767, Average Loss  0.870793, Time  0.265151
2021-09-15 07:45:32.078470 : Epoch  2, Batch   1621, Loss  0.857593, Average Loss  0.870789, Time  0.265070
2021-09-15 07:45:35.086837 : Epoch  2, Batch   1622, Loss  0.870102, Average Loss  0.870783, Time  0.265760
2021-09-15 07:45:38.087361 : Epoch  2, Batch   1623, Loss  0.864868, Average Loss  0.870858, Time  0.265258
2021-09-15 07:45:41.102366 : Epoch  2, Batch   1624, Loss  0.875005, Average Loss  0.870907, Time  0.265003
2021-09-15 07:45:44.101464 : Epoch  2, Batch   1625, Loss  0.868518, Average Loss  0.870802, Time  0.265244
2021-09-15 07:45:47.107164 : Epoch  2, Batch   1626, Loss  0.891095, Average Loss  0.871005, Time  0.264504
2021-09-15 07:45:50.089831 : Epoch  2, Batch   1627, Loss  0.868691, Average Loss  0.871012, Time  0.265025
2021-09-15 07:45:53.092030 : Epoch  2, Batch   1628, Loss  0.873616, Average Loss  0.870932, Time  0.264942
2021-09-15 07:45:56.089812 : Epoch  2, Batch   1629, Loss  0.843737, Average Loss  0.870823, Time  0.264545
2021-09-15 07:45:59.080684 : Epoch  2, Batch   1630, Loss  0.866987, Average Loss  0.870851, Time  0.264541
2021-09-15 07:46:02.105076 : Epoch  2, Batch   1631, Loss  0.868154, Average Loss  0.870847, Time  0.264996
2021-09-15 07:46:05.124547 : Epoch  2, Batch   1632, Loss  0.882824, Average Loss  0.870909, Time  0.273073
2021-09-15 07:46:08.123992 : Epoch  2, Batch   1633, Loss  0.853432, Average Loss  0.870768, Time  0.265410
2021-09-15 07:46:11.138199 : Epoch  2, Batch   1634, Loss  0.879279, Average Loss  0.870846, Time  0.265797
2021-09-15 07:46:14.126037 : Epoch  2, Batch   1635, Loss  0.863791, Average Loss  0.870740, Time  0.264516
2021-09-15 07:46:17.147976 : Epoch  2, Batch   1636, Loss  0.848323, Average Loss  0.870595, Time  0.266637
2021-09-15 07:46:20.200881 : Epoch  2, Batch   1637, Loss  0.879609, Average Loss  0.870559, Time  0.266709
2021-09-15 07:46:23.194844 : Epoch  2, Batch   1638, Loss  0.851246, Average Loss  0.870516, Time  0.265819
2021-09-15 07:46:26.213990 : Epoch  2, Batch   1639, Loss  0.872633, Average Loss  0.870515, Time  0.265721
2021-09-15 07:46:29.205422 : Epoch  2, Batch   1640, Loss  0.856835, Average Loss  0.870413, Time  0.264552
2021-09-15 07:46:32.202630 : Epoch  2, Batch   1641, Loss  0.863774, Average Loss  0.870234, Time  0.265257
2021-09-15 07:46:35.195466 : Epoch  2, Batch   1642, Loss  0.851404, Average Loss  0.870116, Time  0.265335
2021-09-15 07:46:38.206404 : Epoch  2, Batch   1643, Loss  0.859662, Average Loss  0.870024, Time  0.265232
2021-09-15 07:46:41.210195 : Epoch  2, Batch   1644, Loss  0.874192, Average Loss  0.870040, Time  0.264945
2021-09-15 07:51:20.625424 : CheckPoint: Validation Loss  0.00031553, Best Loss  0.00029571
2021-09-15 07:51:23.632337 : Epoch  2, Batch   1645, Loss  0.866167, Average Loss  0.870001, Time  0.266944
2021-09-15 07:51:26.654495 : Epoch  2, Batch   1646, Loss  0.861239, Average Loss  0.869899, Time  0.263561
2021-09-15 07:51:29.647673 : Epoch  2, Batch   1647, Loss  0.852332, Average Loss  0.869831, Time  0.264548
2021-09-15 07:51:32.668418 : Epoch  2, Batch   1648, Loss  0.879426, Average Loss  0.869933, Time  0.274271
2021-09-15 07:51:35.675767 : Epoch  2, Batch   1649, Loss  0.885427, Average Loss  0.869995, Time  0.265704
2021-09-15 07:51:38.705547 : Epoch  2, Batch   1650, Loss  0.873266, Average Loss  0.869968, Time  0.265790
2021-09-15 07:51:41.712275 : Epoch  2, Batch   1651, Loss  0.888077, Average Loss  0.869982, Time  0.264998
2021-09-15 07:51:44.709316 : Epoch  2, Batch   1652, Loss  0.869307, Average Loss  0.869979, Time  0.265058
2021-09-15 07:51:47.720326 : Epoch  2, Batch   1653, Loss  0.862704, Average Loss  0.869955, Time  0.264602
2021-09-15 07:51:50.720129 : Epoch  2, Batch   1654, Loss  0.854626, Average Loss  0.869861, Time  0.265008
2021-09-15 07:51:53.761132 : Epoch  2, Batch   1655, Loss  0.877270, Average Loss  0.870001, Time  0.265447
2021-09-15 07:51:56.771064 : Epoch  2, Batch   1656, Loss  0.870923, Average Loss  0.870135, Time  0.265571
2021-09-15 07:51:59.768938 : Epoch  2, Batch   1657, Loss  0.849590, Average Loss  0.870055, Time  0.266661
2021-09-15 07:52:02.771337 : Epoch  2, Batch   1658, Loss  0.855843, Average Loss  0.870035, Time  0.265153
2021-09-15 07:52:05.811294 : Epoch  2, Batch   1659, Loss  0.854260, Average Loss  0.869990, Time  0.265577
2021-09-15 07:52:08.806066 : Epoch  2, Batch   1660, Loss  0.869718, Average Loss  0.870018, Time  0.265064
2021-09-15 07:52:11.810577 : Epoch  2, Batch   1661, Loss  0.891109, Average Loss  0.870059, Time  0.264892
2021-09-15 07:52:14.836487 : Epoch  2, Batch   1662, Loss  0.862590, Average Loss  0.869871, Time  0.263958
2021-09-15 07:52:17.856835 : Epoch  2, Batch   1663, Loss  0.849124, Average Loss  0.869805, Time  0.278312
2021-09-15 07:52:20.892551 : Epoch  2, Batch   1664, Loss  0.873206, Average Loss  0.869849, Time  0.265977
2021-09-15 07:52:23.933359 : Epoch  2, Batch   1665, Loss  0.868314, Average Loss  0.869936, Time  0.265454
2021-09-15 07:52:26.973259 : Epoch  2, Batch   1666, Loss  0.863345, Average Loss  0.869827, Time  0.266526
2021-09-15 07:52:29.980190 : Epoch  2, Batch   1667, Loss  0.883930, Average Loss  0.869849, Time  0.264446
2021-09-15 07:52:32.977711 : Epoch  2, Batch   1668, Loss  0.881851, Average Loss  0.869848, Time  0.265272
2021-09-15 07:52:35.990390 : Epoch  2, Batch   1669, Loss  0.883294, Average Loss  0.869800, Time  0.265581
2021-09-15 07:52:38.964106 : Epoch  2, Batch   1670, Loss  0.894882, Average Loss  0.869951, Time  0.265743
2021-09-15 07:52:41.980801 : Epoch  2, Batch   1671, Loss  0.871371, Average Loss  0.869970, Time  0.265870
2021-09-15 07:52:45.012430 : Epoch  2, Batch   1672, Loss  0.864140, Average Loss  0.869986, Time  0.264984
2021-09-15 07:52:48.071707 : Epoch  2, Batch   1673, Loss  0.866206, Average Loss  0.869973, Time  0.265292
2021-09-15 07:52:51.145867 : Epoch  2, Batch   1674, Loss  0.861176, Average Loss  0.869832, Time  0.265584
2021-09-15 07:52:54.162980 : Epoch  2, Batch   1675, Loss  0.849366, Average Loss  0.869749, Time  0.265885
2021-09-15 07:52:57.178326 : Epoch  2, Batch   1676, Loss  0.852392, Average Loss  0.869573, Time  0.267361
2021-09-15 07:53:00.196994 : Epoch  2, Batch   1677, Loss  0.866662, Average Loss  0.869484, Time  0.266448
2021-09-15 07:53:03.204567 : Epoch  2, Batch   1678, Loss  0.885205, Average Loss  0.869516, Time  0.275153
2021-09-15 07:53:06.207983 : Epoch  2, Batch   1679, Loss  0.862449, Average Loss  0.869488, Time  0.264552
2021-09-15 07:53:09.237798 : Epoch  2, Batch   1680, Loss  0.853656, Average Loss  0.869433, Time  0.265509
2021-09-15 07:53:12.240417 : Epoch  2, Batch   1681, Loss  0.881677, Average Loss  0.869459, Time  0.264752
2021-09-15 07:53:15.237853 : Epoch  2, Batch   1682, Loss  0.875160, Average Loss  0.869424, Time  0.264405
2021-09-15 07:53:18.267870 : Epoch  2, Batch   1683, Loss  0.864317, Average Loss  0.869389, Time  0.265275
2021-09-15 07:53:21.275192 : Epoch  2, Batch   1684, Loss  0.863965, Average Loss  0.869453, Time  0.265778
2021-09-15 07:53:24.308538 : Epoch  2, Batch   1685, Loss  0.894563, Average Loss  0.869516, Time  0.265643
2021-09-15 07:53:27.348980 : Epoch  2, Batch   1686, Loss  0.876871, Average Loss  0.869535, Time  0.265611
2021-09-15 07:53:30.395043 : Epoch  2, Batch   1687, Loss  0.863307, Average Loss  0.869463, Time  0.265213
2021-09-15 07:53:33.451274 : Epoch  2, Batch   1688, Loss  0.875427, Average Loss  0.869557, Time  0.269528
2021-09-15 07:53:36.457237 : Epoch  2, Batch   1689, Loss  0.870721, Average Loss  0.869541, Time  0.266318
2021-09-15 07:53:39.449128 : Epoch  2, Batch   1690, Loss  0.867088, Average Loss  0.869521, Time  0.265577
2021-09-15 07:53:42.491923 : Epoch  2, Batch   1691, Loss  0.872967, Average Loss  0.869546, Time  0.266449
2021-09-15 07:53:45.516028 : Epoch  2, Batch   1692, Loss  0.888456, Average Loss  0.869652, Time  0.265380
2021-09-15 07:53:48.537470 : Epoch  2, Batch   1693, Loss  0.886519, Average Loss  0.869775, Time  0.273405
2021-09-15 07:53:51.569677 : Epoch  2, Batch   1694, Loss  0.849125, Average Loss  0.869699, Time  0.265888
2021-09-15 07:53:54.576465 : Epoch  2, Batch   1695, Loss  0.896184, Average Loss  0.869742, Time  0.264619
2021-09-15 07:53:57.575673 : Epoch  2, Batch   1696, Loss  0.891606, Average Loss  0.869822, Time  0.265031
2021-09-15 07:54:00.585325 : Epoch  2, Batch   1697, Loss  0.847541, Average Loss  0.869743, Time  0.264060
2021-09-15 07:54:03.594660 : Epoch  2, Batch   1698, Loss  0.880769, Average Loss  0.869840, Time  0.267460
2021-09-15 07:54:06.625769 : Epoch  2, Batch   1699, Loss  0.871373, Average Loss  0.869893, Time  0.266562
2021-09-15 07:54:09.663704 : Epoch  2, Batch   1700, Loss  0.855034, Average Loss  0.869791, Time  0.265657
2021-09-15 07:54:12.673565 : Epoch  2, Batch   1701, Loss  0.857687, Average Loss  0.869796, Time  0.264545
2021-09-15 07:54:15.671885 : Epoch  2, Batch   1702, Loss  0.854147, Average Loss  0.869728, Time  0.265426
2021-09-15 07:54:18.685499 : Epoch  2, Batch   1703, Loss  0.878485, Average Loss  0.869751, Time  0.264835
2021-09-15 07:54:21.726442 : Epoch  2, Batch   1704, Loss  0.882065, Average Loss  0.869691, Time  0.264643
2021-09-15 07:54:24.715229 : Epoch  2, Batch   1705, Loss  0.864798, Average Loss  0.869608, Time  0.264377
2021-09-15 07:54:27.708566 : Epoch  2, Batch   1706, Loss  0.870354, Average Loss  0.869616, Time  0.266677
2021-09-15 07:54:30.744750 : Epoch  2, Batch   1707, Loss  0.872840, Average Loss  0.869677, Time  0.264735
2021-09-15 07:54:33.754038 : Epoch  2, Batch   1708, Loss  0.861494, Average Loss  0.869769, Time  0.276614
2021-09-15 07:54:36.744365 : Epoch  2, Batch   1709, Loss  0.843371, Average Loss  0.869689, Time  0.265752
2021-09-15 07:54:39.757246 : Epoch  2, Batch   1710, Loss  0.862914, Average Loss  0.869576, Time  0.265542
2021-09-15 07:54:42.777253 : Epoch  2, Batch   1711, Loss  0.881143, Average Loss  0.869628, Time  0.265075
2021-09-15 07:54:45.826837 : Epoch  2, Batch   1712, Loss  0.862304, Average Loss  0.869560, Time  0.264175
2021-09-15 07:54:48.835170 : Epoch  2, Batch   1713, Loss  0.878249, Average Loss  0.869637, Time  0.264485
2021-09-15 07:54:51.837190 : Epoch  2, Batch   1714, Loss  0.883545, Average Loss  0.869677, Time  0.264882
2021-09-15 07:54:54.839186 : Epoch  2, Batch   1715, Loss  0.875059, Average Loss  0.869748, Time  0.264512
2021-09-15 07:54:57.832224 : Epoch  2, Batch   1716, Loss  0.859989, Average Loss  0.869766, Time  0.264495
2021-09-15 07:55:00.859676 : Epoch  2, Batch   1717, Loss  0.872159, Average Loss  0.869671, Time  0.265110
2021-09-15 07:55:03.858166 : Epoch  2, Batch   1718, Loss  0.889631, Average Loss  0.869792, Time  0.266885
2021-09-15 07:55:06.880759 : Epoch  2, Batch   1719, Loss  0.888965, Average Loss  0.869891, Time  0.266045
2021-09-15 07:55:09.864848 : Epoch  2, Batch   1720, Loss  0.865156, Average Loss  0.869872, Time  0.265043
2021-09-15 07:55:12.862407 : Epoch  2, Batch   1721, Loss  0.862248, Average Loss  0.869917, Time  0.264621
2021-09-15 07:55:15.866216 : Epoch  2, Batch   1722, Loss  0.878971, Average Loss  0.869900, Time  0.266701
2021-09-15 07:55:18.915396 : Epoch  2, Batch   1723, Loss  0.862432, Average Loss  0.869798, Time  0.275040
2021-09-15 07:55:21.988023 : Epoch  2, Batch   1724, Loss  0.852113, Average Loss  0.869731, Time  0.265296
2021-09-15 07:55:24.990032 : Epoch  2, Batch   1725, Loss  0.871029, Average Loss  0.869679, Time  0.265011
2021-09-15 07:55:28.029766 : Epoch  2, Batch   1726, Loss  0.869757, Average Loss  0.869672, Time  0.265290
2021-09-15 07:55:31.051388 : Epoch  2, Batch   1727, Loss  0.875022, Average Loss  0.869857, Time  0.266111
2021-09-15 07:55:34.061555 : Epoch  2, Batch   1728, Loss  0.872509, Average Loss  0.869787, Time  0.267622
2021-09-15 07:55:37.079049 : Epoch  2, Batch   1729, Loss  0.856174, Average Loss  0.869704, Time  0.265749
2021-09-15 07:55:40.110709 : Epoch  2, Batch   1730, Loss  0.866202, Average Loss  0.869605, Time  0.265055
2021-09-15 07:55:43.116471 : Epoch  2, Batch   1731, Loss  0.855496, Average Loss  0.869497, Time  0.265197
2021-09-15 07:55:46.112342 : Epoch  2, Batch   1732, Loss  0.862692, Average Loss  0.869427, Time  0.265043
2021-09-15 07:55:49.125091 : Epoch  2, Batch   1733, Loss  0.858105, Average Loss  0.869390, Time  0.266380
2021-09-15 07:55:52.170098 : Epoch  2, Batch   1734, Loss  0.881968, Average Loss  0.869325, Time  0.264839
2021-09-15 07:55:55.212859 : Epoch  2, Batch   1735, Loss  0.861860, Average Loss  0.869367, Time  0.264711
2021-09-15 07:55:58.214628 : Epoch  2, Batch   1736, Loss  0.882966, Average Loss  0.869357, Time  0.264651
2021-09-15 07:56:01.282605 : Epoch  2, Batch   1737, Loss  0.875056, Average Loss  0.869393, Time  0.266885
2021-09-15 07:56:04.336051 : Epoch  2, Batch   1738, Loss  0.873584, Average Loss  0.869390, Time  0.278550
2021-09-15 07:56:07.378485 : Epoch  2, Batch   1739, Loss  0.868507, Average Loss  0.869416, Time  0.266103
2021-09-15 07:56:10.409038 : Epoch  2, Batch   1740, Loss  0.877845, Average Loss  0.869435, Time  0.264276
2021-09-15 07:56:13.428166 : Epoch  2, Batch   1741, Loss  0.866163, Average Loss  0.869399, Time  0.265550
2021-09-15 07:56:16.436476 : Epoch  2, Batch   1742, Loss  0.865624, Average Loss  0.869422, Time  0.264838
2021-09-15 07:56:19.442212 : Epoch  2, Batch   1743, Loss  0.841846, Average Loss  0.869298, Time  0.264597
2021-09-15 07:56:22.434253 : Epoch  2, Batch   1744, Loss  0.872694, Average Loss  0.869314, Time  0.264576
2021-09-15 08:01:02.608170 : CheckPoint: Validation Loss  0.00030062, Best Loss  0.00029571
2021-09-15 08:01:05.606921 : Epoch  2, Batch   1745, Loss  0.883454, Average Loss  0.869358, Time  0.266847
2021-09-15 08:01:08.615423 : Epoch  2, Batch   1746, Loss  0.849412, Average Loss  0.869221, Time  0.264689
2021-09-15 08:01:11.649471 : Epoch  2, Batch   1747, Loss  0.857366, Average Loss  0.869177, Time  0.264970
2021-09-15 08:01:14.641685 : Epoch  2, Batch   1748, Loss  0.867835, Average Loss  0.869271, Time  0.265113
2021-09-15 08:01:17.660353 : Epoch  2, Batch   1749, Loss  0.859378, Average Loss  0.869197, Time  0.265059
2021-09-15 08:01:20.659626 : Epoch  2, Batch   1750, Loss  0.886758, Average Loss  0.869286, Time  0.265545
2021-09-15 08:01:23.650526 : Epoch  2, Batch   1751, Loss  0.865044, Average Loss  0.869276, Time  0.279751
2021-09-15 08:01:26.617777 : Epoch  2, Batch   1752, Loss  0.847989, Average Loss  0.869256, Time  0.265444
2021-09-15 08:01:29.626054 : Epoch  2, Batch   1753, Loss  0.872580, Average Loss  0.869253, Time  0.264913
2021-09-15 08:01:32.625004 : Epoch  2, Batch   1754, Loss  0.880514, Average Loss  0.869305, Time  0.265398
2021-09-15 08:01:35.644384 : Epoch  2, Batch   1755, Loss  0.864757, Average Loss  0.869210, Time  0.265071
2021-09-15 08:01:38.663316 : Epoch  2, Batch   1756, Loss  0.890892, Average Loss  0.869261, Time  0.265804
2021-09-15 08:01:41.669083 : Epoch  2, Batch   1757, Loss  0.873202, Average Loss  0.869305, Time  0.266062
2021-09-15 08:01:44.669533 : Epoch  2, Batch   1758, Loss  0.874763, Average Loss  0.869335, Time  0.266815
2021-09-15 08:01:47.701178 : Epoch  2, Batch   1759, Loss  0.856687, Average Loss  0.869267, Time  0.265552
2021-09-15 08:01:50.755148 : Epoch  2, Batch   1760, Loss  0.870428, Average Loss  0.869338, Time  0.266210
2021-09-15 08:01:53.801417 : Epoch  2, Batch   1761, Loss  0.858982, Average Loss  0.869323, Time  0.265416
2021-09-15 08:01:56.822176 : Epoch  2, Batch   1762, Loss  0.880812, Average Loss  0.869329, Time  0.265361
2021-09-15 08:01:59.868372 : Epoch  2, Batch   1763, Loss  0.860960, Average Loss  0.869351, Time  0.265541
2021-09-15 08:02:02.876196 : Epoch  2, Batch   1764, Loss  0.872379, Average Loss  0.869514, Time  0.264955
2021-09-15 08:02:05.918379 : Epoch  2, Batch   1765, Loss  0.869121, Average Loss  0.869606, Time  0.264774
2021-09-15 08:02:08.939927 : Epoch  2, Batch   1766, Loss  0.885018, Average Loss  0.869658, Time  0.279544
2021-09-15 08:02:11.965686 : Epoch  2, Batch   1767, Loss  0.864785, Average Loss  0.869601, Time  0.266433
2021-09-15 08:02:14.966579 : Epoch  2, Batch   1768, Loss  0.858090, Average Loss  0.869521, Time  0.264765
2021-09-15 08:02:17.962467 : Epoch  2, Batch   1769, Loss  0.849583, Average Loss  0.869519, Time  0.264983
2021-09-15 08:02:20.999991 : Epoch  2, Batch   1770, Loss  0.860265, Average Loss  0.869493, Time  0.266051
2021-09-15 08:02:24.019207 : Epoch  2, Batch   1771, Loss  0.850810, Average Loss  0.869416, Time  0.264726
2021-09-15 08:02:27.045844 : Epoch  2, Batch   1772, Loss  0.871622, Average Loss  0.869367, Time  0.265202
2021-09-15 08:02:30.053182 : Epoch  2, Batch   1773, Loss  0.872065, Average Loss  0.869425, Time  0.264712
2021-09-15 08:02:33.047175 : Epoch  2, Batch   1774, Loss  0.901922, Average Loss  0.869611, Time  0.265337
2021-09-15 08:02:36.080510 : Epoch  2, Batch   1775, Loss  0.882747, Average Loss  0.869715, Time  0.264607
2021-09-15 08:02:39.048580 : Epoch  2, Batch   1776, Loss  0.855154, Average Loss  0.869530, Time  0.264727
2021-09-15 08:02:42.081948 : Epoch  2, Batch   1777, Loss  0.859703, Average Loss  0.869372, Time  0.265371
2021-09-15 08:02:45.120825 : Epoch  2, Batch   1778, Loss  0.857238, Average Loss  0.869207, Time  0.266846
2021-09-15 08:02:48.124742 : Epoch  2, Batch   1779, Loss  0.882008, Average Loss  0.869227, Time  0.264574
2021-09-15 08:02:51.137725 : Epoch  2, Batch   1780, Loss  0.843381, Average Loss  0.869149, Time  0.264992
2021-09-15 08:02:54.151698 : Epoch  2, Batch   1781, Loss  0.875922, Average Loss  0.869266, Time  0.275216
2021-09-15 08:02:57.175326 : Epoch  2, Batch   1782, Loss  0.896873, Average Loss  0.869496, Time  0.265391
2021-09-15 08:03:00.201153 : Epoch  2, Batch   1783, Loss  0.858724, Average Loss  0.869436, Time  0.266201
2021-09-15 08:03:03.212812 : Epoch  2, Batch   1784, Loss  0.849739, Average Loss  0.869304, Time  0.265368
2021-09-15 08:03:06.243352 : Epoch  2, Batch   1785, Loss  0.884054, Average Loss  0.869329, Time  0.265324
2021-09-15 08:03:09.250140 : Epoch  2, Batch   1786, Loss  0.892856, Average Loss  0.869510, Time  0.265233
2021-09-15 08:03:12.268297 : Epoch  2, Batch   1787, Loss  0.861695, Average Loss  0.869440, Time  0.264323
2021-09-15 08:03:15.276218 : Epoch  2, Batch   1788, Loss  0.863524, Average Loss  0.869380, Time  0.264829
2021-09-15 08:03:18.301988 : Epoch  2, Batch   1789, Loss  0.860886, Average Loss  0.869242, Time  0.265304
2021-09-15 08:03:21.325911 : Epoch  2, Batch   1790, Loss  0.878940, Average Loss  0.869171, Time  0.264671
2021-09-15 08:03:24.324997 : Epoch  2, Batch   1791, Loss  0.860463, Average Loss  0.869136, Time  0.264857
2021-09-15 08:03:27.325279 : Epoch  2, Batch   1792, Loss  0.870320, Average Loss  0.869157, Time  0.265034
2021-09-15 08:03:30.325557 : Epoch  2, Batch   1793, Loss  0.852259, Average Loss  0.869054, Time  0.264738
2021-09-15 08:03:33.351745 : Epoch  2, Batch   1794, Loss  0.873233, Average Loss  0.869078, Time  0.266011
2021-09-15 08:03:36.361868 : Epoch  2, Batch   1795, Loss  0.869106, Average Loss  0.869132, Time  0.264805
2021-09-15 08:03:39.362431 : Epoch  2, Batch   1796, Loss  0.865937, Average Loss  0.869142, Time  0.277297
2021-09-15 08:03:42.396683 : Epoch  2, Batch   1797, Loss  0.881559, Average Loss  0.869135, Time  0.266101
2021-09-15 08:03:45.414202 : Epoch  2, Batch   1798, Loss  0.836047, Average Loss  0.869018, Time  0.265137
2021-09-15 08:03:48.420089 : Epoch  2, Batch   1799, Loss  0.884416, Average Loss  0.869198, Time  0.267064
2021-09-15 08:03:51.432928 : Epoch  2, Batch   1800, Loss  0.866516, Average Loss  0.869162, Time  0.265929
2021-09-15 08:03:54.471123 : Epoch  2, Batch   1801, Loss  0.878481, Average Loss  0.869273, Time  0.265637
2021-09-15 08:03:57.489689 : Epoch  2, Batch   1802, Loss  0.886380, Average Loss  0.869395, Time  0.266313
2021-09-15 08:04:00.524197 : Epoch  2, Batch   1803, Loss  0.862449, Average Loss  0.869274, Time  0.266399
2021-09-15 08:04:03.498188 : Epoch  2, Batch   1804, Loss  0.856616, Average Loss  0.869207, Time  0.264668
2021-09-15 08:04:06.500344 : Epoch  2, Batch   1805, Loss  0.867859, Average Loss  0.869080, Time  0.265443
2021-09-15 08:04:09.502384 : Epoch  2, Batch   1806, Loss  0.870605, Average Loss  0.869145, Time  0.264498
2021-09-15 08:04:12.506098 : Epoch  2, Batch   1807, Loss  0.857720, Average Loss  0.869067, Time  0.265451
2021-09-15 08:04:15.519739 : Epoch  2, Batch   1808, Loss  0.841689, Average Loss  0.868861, Time  0.264642
2021-09-15 08:04:18.543098 : Epoch  2, Batch   1809, Loss  0.889281, Average Loss  0.868885, Time  0.264726
2021-09-15 08:04:21.534384 : Epoch  2, Batch   1810, Loss  0.872011, Average Loss  0.868882, Time  0.264059
2021-09-15 08:04:24.566467 : Epoch  2, Batch   1811, Loss  0.876253, Average Loss  0.868788, Time  0.277843
2021-09-15 08:04:27.634191 : Epoch  2, Batch   1812, Loss  0.878150, Average Loss  0.868810, Time  0.264839
2021-09-15 08:04:30.631106 : Epoch  2, Batch   1813, Loss  0.891512, Average Loss  0.869018, Time  0.265571
2021-09-15 08:04:33.644236 : Epoch  2, Batch   1814, Loss  0.881634, Average Loss  0.869127, Time  0.265556
2021-09-15 08:04:36.659498 : Epoch  2, Batch   1815, Loss  0.845761, Average Loss  0.868965, Time  0.264834
2021-09-15 08:04:39.680960 : Epoch  2, Batch   1816, Loss  0.886676, Average Loss  0.869016, Time  0.265837
2021-09-15 08:04:42.694480 : Epoch  2, Batch   1817, Loss  0.884610, Average Loss  0.869083, Time  0.264716
2021-09-15 08:04:45.709637 : Epoch  2, Batch   1818, Loss  0.886765, Average Loss  0.869111, Time  0.265277
2021-09-15 08:04:48.712177 : Epoch  2, Batch   1819, Loss  0.870124, Average Loss  0.868999, Time  0.266227
2021-09-15 08:04:51.707424 : Epoch  2, Batch   1820, Loss  0.860103, Average Loss  0.868966, Time  0.265293
2021-09-15 08:04:54.715403 : Epoch  2, Batch   1821, Loss  0.860929, Average Loss  0.868982, Time  0.265878
2021-09-15 08:04:57.757045 : Epoch  2, Batch   1822, Loss  0.889965, Average Loss  0.869082, Time  0.266145
2021-09-15 08:05:00.799685 : Epoch  2, Batch   1823, Loss  0.862837, Average Loss  0.869072, Time  0.265717
2021-09-15 08:05:03.838522 : Epoch  2, Batch   1824, Loss  0.872923, Average Loss  0.869061, Time  0.265922
2021-09-15 08:05:06.844386 : Epoch  2, Batch   1825, Loss  0.864497, Average Loss  0.869041, Time  0.265722
2021-09-15 08:05:09.877594 : Epoch  2, Batch   1826, Loss  0.871624, Average Loss  0.868944, Time  0.274762
2021-09-15 08:05:12.905755 : Epoch  2, Batch   1827, Loss  0.872382, Average Loss  0.868962, Time  0.264911
2021-09-15 08:05:15.908841 : Epoch  2, Batch   1828, Loss  0.879703, Average Loss  0.868993, Time  0.265280
2021-09-15 08:05:18.934430 : Epoch  2, Batch   1829, Loss  0.864507, Average Loss  0.869096, Time  0.265617
2021-09-15 08:05:21.950380 : Epoch  2, Batch   1830, Loss  0.864064, Average Loss  0.869082, Time  0.264467
2021-09-15 08:05:24.962200 : Epoch  2, Batch   1831, Loss  0.858377, Average Loss  0.869033, Time  0.265343
2021-09-15 08:05:27.987101 : Epoch  2, Batch   1832, Loss  0.863091, Average Loss  0.868934, Time  0.264319
2021-09-15 08:05:30.989964 : Epoch  2, Batch   1833, Loss  0.877112, Average Loss  0.869053, Time  0.265225
2021-09-15 08:05:34.020131 : Epoch  2, Batch   1834, Loss  0.857772, Average Loss  0.868945, Time  0.265156
2021-09-15 08:05:37.036051 : Epoch  2, Batch   1835, Loss  0.852044, Average Loss  0.868886, Time  0.265292
2021-09-15 08:05:40.073529 : Epoch  2, Batch   1836, Loss  0.846549, Average Loss  0.868878, Time  0.264846
2021-09-15 08:05:43.092268 : Epoch  2, Batch   1837, Loss  0.871861, Average Loss  0.868839, Time  0.265359
2021-09-15 08:05:46.125298 : Epoch  2, Batch   1838, Loss  0.899242, Average Loss  0.869079, Time  0.264695
2021-09-15 08:05:49.122546 : Epoch  2, Batch   1839, Loss  0.883296, Average Loss  0.869132, Time  0.266275
2021-09-15 08:05:52.132169 : Epoch  2, Batch   1840, Loss  0.857627, Average Loss  0.869136, Time  0.265388
2021-09-15 08:05:55.168133 : Epoch  2, Batch   1841, Loss  0.876564, Average Loss  0.869200, Time  0.274968
2021-09-15 08:05:58.175479 : Epoch  2, Batch   1842, Loss  0.867852, Average Loss  0.869282, Time  0.266374
2021-09-15 08:06:01.196486 : Epoch  2, Batch   1843, Loss  0.862438, Average Loss  0.869296, Time  0.265351
2021-09-15 08:06:04.239964 : Epoch  2, Batch   1844, Loss  0.859418, Average Loss  0.869222, Time  0.265517
2021-09-15 08:10:45.098575 : CheckPoint: Validation Loss  0.00030382, Best Loss  0.00029571
2021-09-15 08:10:48.099573 : Epoch  2, Batch   1845, Loss  0.862250, Average Loss  0.869203, Time  0.266678
2021-09-15 08:10:51.091854 : Epoch  2, Batch   1846, Loss  0.872609, Average Loss  0.869260, Time  0.264323
2021-09-15 08:10:54.092489 : Epoch  2, Batch   1847, Loss  0.866790, Average Loss  0.869332, Time  0.264670
2021-09-15 08:10:57.094544 : Epoch  2, Batch   1848, Loss  0.865530, Average Loss  0.869262, Time  0.265080
2021-09-15 08:11:00.082429 : Epoch  2, Batch   1849, Loss  0.879068, Average Loss  0.869231, Time  0.264284
2021-09-15 08:11:03.065765 : Epoch  2, Batch   1850, Loss  0.868529, Average Loss  0.869207, Time  0.265602
2021-09-15 08:11:06.085456 : Epoch  2, Batch   1851, Loss  0.868449, Average Loss  0.869109, Time  0.265353
2021-09-15 08:11:09.087553 : Epoch  2, Batch   1852, Loss  0.886759, Average Loss  0.869196, Time  0.265376
2021-09-15 08:11:12.122616 : Epoch  2, Batch   1853, Loss  0.886152, Average Loss  0.869313, Time  0.277050
2021-09-15 08:11:15.148054 : Epoch  2, Batch   1854, Loss  0.899680, Average Loss  0.869538, Time  0.265749
2021-09-15 08:11:18.178304 : Epoch  2, Batch   1855, Loss  0.851623, Average Loss  0.869410, Time  0.265672
2021-09-15 08:11:21.160539 : Epoch  2, Batch   1856, Loss  0.891505, Average Loss  0.869513, Time  0.264472
2021-09-15 08:11:21.193013 : Saving Model after 2-th Epoch.
2021-09-15 08:11:22.146264 : Epoch Finished.
2021-09-15 08:11:30.215784 : Batch Shuffled
2021-09-15 08:11:33.205114 : Epoch  3, Batch      1, Loss  0.891639, Average Loss  0.869723, Time  0.265112
2021-09-15 08:11:36.221100 : Epoch  3, Batch      2, Loss  0.891448, Average Loss  0.869901, Time  0.266282
2021-09-15 08:11:39.222648 : Epoch  3, Batch      3, Loss  0.853818, Average Loss  0.869899, Time  0.264517
2021-09-15 08:11:42.202401 : Epoch  3, Batch      4, Loss  0.869805, Average Loss  0.869900, Time  0.264557
2021-09-15 08:11:45.198114 : Epoch  3, Batch      5, Loss  0.857677, Average Loss  0.869732, Time  0.265743
2021-09-15 08:11:48.222043 : Epoch  3, Batch      6, Loss  0.885624, Average Loss  0.869848, Time  0.266190
2021-09-15 08:11:51.232795 : Epoch  3, Batch      7, Loss  0.851512, Average Loss  0.869860, Time  0.264194
2021-09-15 08:11:54.226543 : Epoch  3, Batch      8, Loss  0.884887, Average Loss  0.869918, Time  0.264903
2021-09-15 08:11:57.231162 : Epoch  3, Batch      9, Loss  0.856146, Average Loss  0.869857, Time  0.278038
2021-09-15 08:12:00.254741 : Epoch  3, Batch     10, Loss  0.878364, Average Loss  0.869932, Time  0.266004
2021-09-15 08:12:03.266653 : Epoch  3, Batch     11, Loss  0.866905, Average Loss  0.869847, Time  0.265361
2021-09-15 08:12:06.291040 : Epoch  3, Batch     12, Loss  0.863305, Average Loss  0.869754, Time  0.265022
2021-09-15 08:12:09.327053 : Epoch  3, Batch     13, Loss  0.901035, Average Loss  0.869843, Time  0.265721
2021-09-15 08:12:12.304732 : Epoch  3, Batch     14, Loss  0.890487, Average Loss  0.869821, Time  0.264790
2021-09-15 08:12:15.308640 : Epoch  3, Batch     15, Loss  0.881022, Average Loss  0.869869, Time  0.264401
2021-09-15 08:12:18.328775 : Epoch  3, Batch     16, Loss  0.891797, Average Loss  0.870008, Time  0.267998
2021-09-15 08:12:21.308671 : Epoch  3, Batch     17, Loss  0.863717, Average Loss  0.869995, Time  0.264562
2021-09-15 08:12:24.304835 : Epoch  3, Batch     18, Loss  0.890066, Average Loss  0.870140, Time  0.264511
2021-09-15 08:12:27.306053 : Epoch  3, Batch     19, Loss  0.857404, Average Loss  0.870180, Time  0.265219
2021-09-15 08:12:30.314489 : Epoch  3, Batch     20, Loss  0.849822, Average Loss  0.870167, Time  0.265713
2021-09-15 08:12:33.315605 : Epoch  3, Batch     21, Loss  0.867468, Average Loss  0.870171, Time  0.265425
2021-09-15 08:12:36.304245 : Epoch  3, Batch     22, Loss  0.863563, Average Loss  0.870063, Time  0.265343
2021-09-15 08:12:39.295658 : Epoch  3, Batch     23, Loss  0.841596, Average Loss  0.869959, Time  0.265021
2021-09-15 08:12:42.288489 : Epoch  3, Batch     24, Loss  0.864446, Average Loss  0.870013, Time  0.272610
2021-09-15 08:12:45.289836 : Epoch  3, Batch     25, Loss  0.848334, Average Loss  0.869846, Time  0.265812
2021-09-15 08:12:48.317033 : Epoch  3, Batch     26, Loss  0.864744, Average Loss  0.869794, Time  0.265440
2021-09-15 08:12:51.349131 : Epoch  3, Batch     27, Loss  0.885300, Average Loss  0.869899, Time  0.264639
2021-09-15 08:12:54.338717 : Epoch  3, Batch     28, Loss  0.898104, Average Loss  0.870069, Time  0.264976
2021-09-15 08:12:57.355122 : Epoch  3, Batch     29, Loss  0.886345, Average Loss  0.870028, Time  0.265561
2021-09-15 08:13:00.375959 : Epoch  3, Batch     30, Loss  0.850293, Average Loss  0.869895, Time  0.264566
2021-09-15 08:13:03.365922 : Epoch  3, Batch     31, Loss  0.853714, Average Loss  0.869847, Time  0.265271
2021-09-15 08:13:06.364727 : Epoch  3, Batch     32, Loss  0.864886, Average Loss  0.869795, Time  0.264336
2021-09-15 08:13:09.353447 : Epoch  3, Batch     33, Loss  0.860401, Average Loss  0.869743, Time  0.264895
2021-09-15 08:13:12.362100 : Epoch  3, Batch     34, Loss  0.863951, Average Loss  0.869727, Time  0.265317
2021-09-15 08:13:15.389559 : Epoch  3, Batch     35, Loss  0.881089, Average Loss  0.869768, Time  0.264855
2021-09-15 08:13:18.400650 : Epoch  3, Batch     36, Loss  0.871671, Average Loss  0.869684, Time  0.265505
2021-09-15 08:13:21.417622 : Epoch  3, Batch     37, Loss  0.870650, Average Loss  0.869605, Time  0.266299
2021-09-15 08:13:24.421488 : Epoch  3, Batch     38, Loss  0.878455, Average Loss  0.869751, Time  0.265883
2021-09-15 08:13:27.476251 : Epoch  3, Batch     39, Loss  0.877843, Average Loss  0.869660, Time  0.277923
2021-09-15 08:13:30.513488 : Epoch  3, Batch     40, Loss  0.897904, Average Loss  0.869691, Time  0.266958
2021-09-15 08:13:33.499633 : Epoch  3, Batch     41, Loss  0.887914, Average Loss  0.869893, Time  0.266405
2021-09-15 08:13:36.515338 : Epoch  3, Batch     42, Loss  0.872529, Average Loss  0.869852, Time  0.265537
2021-09-15 08:13:39.535343 : Epoch  3, Batch     43, Loss  0.877007, Average Loss  0.869880, Time  0.267536
2021-09-15 08:13:42.562992 : Epoch  3, Batch     44, Loss  0.867949, Average Loss  0.869945, Time  0.264997
2021-09-15 08:13:45.559069 : Epoch  3, Batch     45, Loss  0.873896, Average Loss  0.870026, Time  0.267104
2021-09-15 08:13:48.588218 : Epoch  3, Batch     46, Loss  0.859556, Average Loss  0.870053, Time  0.265895
2021-09-15 08:13:51.639370 : Epoch  3, Batch     47, Loss  0.863003, Average Loss  0.869975, Time  0.264553
2021-09-15 08:13:54.629659 : Epoch  3, Batch     48, Loss  0.893721, Average Loss  0.870034, Time  0.265034
2021-09-15 08:13:57.626871 : Epoch  3, Batch     49, Loss  0.862339, Average Loss  0.870021, Time  0.264261
2021-09-15 08:14:00.642559 : Epoch  3, Batch     50, Loss  0.878502, Average Loss  0.870062, Time  0.265134
2021-09-15 08:14:03.652357 : Epoch  3, Batch     51, Loss  0.854947, Average Loss  0.869973, Time  0.265029
2021-09-15 08:14:06.645634 : Epoch  3, Batch     52, Loss  0.869536, Average Loss  0.870013, Time  0.264280
2021-09-15 08:14:09.647041 : Epoch  3, Batch     53, Loss  0.871296, Average Loss  0.870152, Time  0.266467
2021-09-15 08:14:12.679500 : Epoch  3, Batch     54, Loss  0.892365, Average Loss  0.870300, Time  0.274428
2021-09-15 08:14:15.679648 : Epoch  3, Batch     55, Loss  0.880912, Average Loss  0.870298, Time  0.265448
2021-09-15 08:14:18.684079 : Epoch  3, Batch     56, Loss  0.849768, Average Loss  0.870236, Time  0.264714
2021-09-15 08:14:21.694879 : Epoch  3, Batch     57, Loss  0.873884, Average Loss  0.870214, Time  0.265543
2021-09-15 08:14:24.696452 : Epoch  3, Batch     58, Loss  0.870292, Average Loss  0.870148, Time  0.266000
2021-09-15 08:14:27.707994 : Epoch  3, Batch     59, Loss  0.880644, Average Loss  0.870176, Time  0.265221
2021-09-15 08:14:30.708513 : Epoch  3, Batch     60, Loss  0.867066, Average Loss  0.870211, Time  0.267104
2021-09-15 08:14:33.734425 : Epoch  3, Batch     61, Loss  0.909495, Average Loss  0.870398, Time  0.264722
2021-09-15 08:14:36.753386 : Epoch  3, Batch     62, Loss  0.861818, Average Loss  0.870259, Time  0.266367
2021-09-15 08:14:39.750097 : Epoch  3, Batch     63, Loss  0.873010, Average Loss  0.870179, Time  0.265666
2021-09-15 08:14:42.749030 : Epoch  3, Batch     64, Loss  0.864509, Average Loss  0.870176, Time  0.264936
2021-09-15 08:14:45.741529 : Epoch  3, Batch     65, Loss  0.855873, Average Loss  0.870144, Time  0.265452
2021-09-15 08:14:48.804986 : Epoch  3, Batch     66, Loss  0.873154, Average Loss  0.870115, Time  0.266137
2021-09-15 08:14:51.814486 : Epoch  3, Batch     67, Loss  0.869814, Average Loss  0.870152, Time  0.265666
2021-09-15 08:14:54.810097 : Epoch  3, Batch     68, Loss  0.878348, Average Loss  0.870283, Time  0.264643
2021-09-15 08:14:57.805699 : Epoch  3, Batch     69, Loss  0.883265, Average Loss  0.870344, Time  0.273090
2021-09-15 08:15:00.828028 : Epoch  3, Batch     70, Loss  0.867001, Average Loss  0.870330, Time  0.264651
2021-09-15 08:15:03.823486 : Epoch  3, Batch     71, Loss  0.868096, Average Loss  0.870295, Time  0.264999
2021-09-15 08:15:06.830047 : Epoch  3, Batch     72, Loss  0.894650, Average Loss  0.870406, Time  0.265865
2021-09-15 08:15:09.855473 : Epoch  3, Batch     73, Loss  0.882189, Average Loss  0.870536, Time  0.264861
2021-09-15 08:15:12.846661 : Epoch  3, Batch     74, Loss  0.885008, Average Loss  0.870630, Time  0.265592
2021-09-15 08:15:15.884423 : Epoch  3, Batch     75, Loss  0.849477, Average Loss  0.870600, Time  0.265559
2021-09-15 08:15:18.901128 : Epoch  3, Batch     76, Loss  0.876056, Average Loss  0.870667, Time  0.264694
2021-09-15 08:15:21.894942 : Epoch  3, Batch     77, Loss  0.864660, Average Loss  0.870700, Time  0.264987
2021-09-15 08:15:24.891534 : Epoch  3, Batch     78, Loss  0.868977, Average Loss  0.870635, Time  0.265000
2021-09-15 08:15:27.891129 : Epoch  3, Batch     79, Loss  0.862726, Average Loss  0.870639, Time  0.265438
2021-09-15 08:15:30.891188 : Epoch  3, Batch     80, Loss  0.865199, Average Loss  0.870550, Time  0.266366
2021-09-15 08:15:33.889088 : Epoch  3, Batch     81, Loss  0.850894, Average Loss  0.870430, Time  0.264636
2021-09-15 08:15:36.893939 : Epoch  3, Batch     82, Loss  0.882210, Average Loss  0.870473, Time  0.266628
2021-09-15 08:15:39.889679 : Epoch  3, Batch     83, Loss  0.888115, Average Loss  0.870571, Time  0.265430
2021-09-15 08:15:42.914211 : Epoch  3, Batch     84, Loss  0.879747, Average Loss  0.870580, Time  0.274642
2021-09-15 08:15:45.924022 : Epoch  3, Batch     85, Loss  0.861061, Average Loss  0.870555, Time  0.265880
2021-09-15 08:15:48.936348 : Epoch  3, Batch     86, Loss  0.894293, Average Loss  0.870698, Time  0.264629
2021-09-15 08:15:51.932469 : Epoch  3, Batch     87, Loss  0.893032, Average Loss  0.870954, Time  0.264742
2021-09-15 08:15:54.944609 : Epoch  3, Batch     88, Loss  0.893753, Average Loss  0.871059, Time  0.265479
2021-09-15 08:20:34.895765 : CheckPoint: Validation Loss  0.00030413, Best Loss  0.00029571
2021-09-15 08:20:37.893490 : Epoch  3, Batch     89, Loss  0.858029, Average Loss  0.870932, Time  0.267092
2021-09-15 08:20:40.928979 : Epoch  3, Batch     90, Loss  0.888975, Average Loss  0.871130, Time  0.265487
2021-09-15 08:20:43.966098 : Epoch  3, Batch     91, Loss  0.855387, Average Loss  0.871120, Time  0.265170
2021-09-15 08:20:47.005639 : Epoch  3, Batch     92, Loss  0.883060, Average Loss  0.871196, Time  0.265559
2021-09-15 08:20:50.002593 : Epoch  3, Batch     93, Loss  0.865187, Average Loss  0.871225, Time  0.265032
2021-09-15 08:20:53.026275 : Epoch  3, Batch     94, Loss  0.882325, Average Loss  0.871203, Time  0.265418
2021-09-15 08:20:56.065545 : Epoch  3, Batch     95, Loss  0.880286, Average Loss  0.871279, Time  0.265855
2021-09-15 08:20:59.101590 : Epoch  3, Batch     96, Loss  0.857446, Average Loss  0.871327, Time  0.264571
2021-09-15 08:21:02.117392 : Epoch  3, Batch     97, Loss  0.865752, Average Loss  0.871292, Time  0.274539
2021-09-15 08:21:05.145673 : Epoch  3, Batch     98, Loss  0.872284, Average Loss  0.871251, Time  0.265743
2021-09-15 08:21:08.166094 : Epoch  3, Batch     99, Loss  0.874284, Average Loss  0.871299, Time  0.265088
2021-09-15 08:21:11.162669 : Epoch  3, Batch    100, Loss  0.859060, Average Loss  0.871140, Time  0.265001
2021-09-15 08:21:14.185849 : Epoch  3, Batch    101, Loss  0.879169, Average Loss  0.871170, Time  0.267129
2021-09-15 08:21:17.227900 : Epoch  3, Batch    102, Loss  0.884548, Average Loss  0.871218, Time  0.266054
2021-09-15 08:21:20.239006 : Epoch  3, Batch    103, Loss  0.880793, Average Loss  0.871339, Time  0.264997
2021-09-15 08:21:23.234162 : Epoch  3, Batch    104, Loss  0.891795, Average Loss  0.871446, Time  0.264714
2021-09-15 08:21:26.209260 : Epoch  3, Batch    105, Loss  0.859351, Average Loss  0.871448, Time  0.264785
2021-09-15 08:21:29.207826 : Epoch  3, Batch    106, Loss  0.865488, Average Loss  0.871371, Time  0.264473
2021-09-15 08:21:32.215572 : Epoch  3, Batch    107, Loss  0.874561, Average Loss  0.871439, Time  0.265472
2021-09-15 08:21:35.215480 : Epoch  3, Batch    108, Loss  0.867871, Average Loss  0.871417, Time  0.265118
2021-09-15 08:21:38.225096 : Epoch  3, Batch    109, Loss  0.855119, Average Loss  0.871347, Time  0.265617
2021-09-15 08:21:41.255512 : Epoch  3, Batch    110, Loss  0.883713, Average Loss  0.871340, Time  0.266103
2021-09-15 08:21:44.300085 : Epoch  3, Batch    111, Loss  0.876275, Average Loss  0.871397, Time  0.265615
2021-09-15 08:21:47.345753 : Epoch  3, Batch    112, Loss  0.872335, Average Loss  0.871469, Time  0.276828
2021-09-15 08:21:50.381199 : Epoch  3, Batch    113, Loss  0.871634, Average Loss  0.871579, Time  0.265853
2021-09-15 08:21:53.377800 : Epoch  3, Batch    114, Loss  0.865868, Average Loss  0.871607, Time  0.265777
2021-09-15 08:21:56.374972 : Epoch  3, Batch    115, Loss  0.857573, Average Loss  0.871641, Time  0.265795
2021-09-15 08:21:59.374483 : Epoch  3, Batch    116, Loss  0.867770, Average Loss  0.871622, Time  0.264880
2021-09-15 08:22:02.370160 : Epoch  3, Batch    117, Loss  0.858233, Average Loss  0.871552, Time  0.264294
2021-09-15 08:22:05.368177 : Epoch  3, Batch    118, Loss  0.862936, Average Loss  0.871357, Time  0.264815
2021-09-15 08:22:08.371051 : Epoch  3, Batch    119, Loss  0.873196, Average Loss  0.871310, Time  0.265435
2021-09-15 08:22:11.370834 : Epoch  3, Batch    120, Loss  0.876886, Average Loss  0.871418, Time  0.264799
2021-09-15 08:22:14.380166 : Epoch  3, Batch    121, Loss  0.877827, Average Loss  0.871509, Time  0.266931
2021-09-15 08:22:17.388418 : Epoch  3, Batch    122, Loss  0.882189, Average Loss  0.871634, Time  0.265334
2021-09-15 08:22:20.395690 : Epoch  3, Batch    123, Loss  0.862247, Average Loss  0.871535, Time  0.265687
2021-09-15 08:22:23.362464 : Epoch  3, Batch    124, Loss  0.874187, Average Loss  0.871689, Time  0.266032
2021-09-15 08:22:26.322405 : Epoch  3, Batch    125, Loss  0.879398, Average Loss  0.871706, Time  0.264826
2021-09-15 08:22:29.366209 : Epoch  3, Batch    126, Loss  0.860764, Average Loss  0.871526, Time  0.265314
2021-09-15 08:22:32.383513 : Epoch  3, Batch    127, Loss  0.887148, Average Loss  0.871668, Time  0.273832
2021-09-15 08:22:35.389134 : Epoch  3, Batch    128, Loss  0.882206, Average Loss  0.871830, Time  0.263696
2021-09-15 08:22:38.417039 : Epoch  3, Batch    129, Loss  0.876781, Average Loss  0.871794, Time  0.265823
2021-09-15 08:22:41.411545 : Epoch  3, Batch    130, Loss  0.837305, Average Loss  0.871516, Time  0.264987
2021-09-15 08:22:44.411314 : Epoch  3, Batch    131, Loss  0.880513, Average Loss  0.871610, Time  0.265591
2021-09-15 08:22:47.422152 : Epoch  3, Batch    132, Loss  0.878616, Average Loss  0.871686, Time  0.264632
2021-09-15 08:22:50.420644 : Epoch  3, Batch    133, Loss  0.862506, Average Loss  0.871694, Time  0.265061
2021-09-15 08:22:53.420142 : Epoch  3, Batch    134, Loss  0.861037, Average Loss  0.871604, Time  0.265182
2021-09-15 08:22:56.424183 : Epoch  3, Batch    135, Loss  0.847370, Average Loss  0.871539, Time  0.264474
2021-09-15 08:22:59.433106 : Epoch  3, Batch    136, Loss  0.894188, Average Loss  0.871658, Time  0.264609
2021-09-15 08:23:02.440327 : Epoch  3, Batch    137, Loss  0.871063, Average Loss  0.871752, Time  0.265945
2021-09-15 08:23:05.484910 : Epoch  3, Batch    138, Loss  0.851681, Average Loss  0.871644, Time  0.264549
2021-09-15 08:23:08.507403 : Epoch  3, Batch    139, Loss  0.871094, Average Loss  0.871654, Time  0.264766
2021-09-15 08:23:11.531623 : Epoch  3, Batch    140, Loss  0.867057, Average Loss  0.871660, Time  0.264894
2021-09-15 08:23:14.574678 : Epoch  3, Batch    141, Loss  0.869978, Average Loss  0.871602, Time  0.266419
2021-09-15 08:23:17.590829 : Epoch  3, Batch    142, Loss  0.869076, Average Loss  0.871767, Time  0.276757
2021-09-15 08:23:20.603748 : Epoch  3, Batch    143, Loss  0.857758, Average Loss  0.871634, Time  0.266657
2021-09-15 08:23:23.620917 : Epoch  3, Batch    144, Loss  0.867518, Average Loss  0.871639, Time  0.265812
2021-09-15 08:23:26.617414 : Epoch  3, Batch    145, Loss  0.868898, Average Loss  0.871591, Time  0.265567
2021-09-15 08:23:29.625664 : Epoch  3, Batch    146, Loss  0.871239, Average Loss  0.871515, Time  0.264572
2021-09-15 08:23:32.633244 : Epoch  3, Batch    147, Loss  0.864959, Average Loss  0.871528, Time  0.265146
2021-09-15 08:23:35.647486 : Epoch  3, Batch    148, Loss  0.882002, Average Loss  0.871655, Time  0.264160
2021-09-15 08:23:38.700376 : Epoch  3, Batch    149, Loss  0.870299, Average Loss  0.871667, Time  0.264390
2021-09-15 08:23:41.697702 : Epoch  3, Batch    150, Loss  0.862557, Average Loss  0.871627, Time  0.264429
2021-09-15 08:23:44.690175 : Epoch  3, Batch    151, Loss  0.879264, Average Loss  0.871734, Time  0.264958
2021-09-15 08:23:47.721243 : Epoch  3, Batch    152, Loss  0.896510, Average Loss  0.872009, Time  0.265331
2021-09-15 08:23:50.754318 : Epoch  3, Batch    153, Loss  0.866788, Average Loss  0.871896, Time  0.265424
2021-09-15 08:23:53.750650 : Epoch  3, Batch    154, Loss  0.860087, Average Loss  0.871836, Time  0.264729
2021-09-15 08:23:56.758282 : Epoch  3, Batch    155, Loss  0.872556, Average Loss  0.871818, Time  0.265186
2021-09-15 08:23:59.776002 : Epoch  3, Batch    156, Loss  0.864045, Average Loss  0.871747, Time  0.264540
2021-09-15 08:24:02.789429 : Epoch  3, Batch    157, Loss  0.844322, Average Loss  0.871512, Time  0.273509
2021-09-15 08:24:05.797312 : Epoch  3, Batch    158, Loss  0.871491, Average Loss  0.871461, Time  0.264704
2021-09-15 08:24:08.813199 : Epoch  3, Batch    159, Loss  0.856433, Average Loss  0.871514, Time  0.265395
2021-09-15 08:24:11.803514 : Epoch  3, Batch    160, Loss  0.867684, Average Loss  0.871419, Time  0.265403
2021-09-15 08:24:14.819766 : Epoch  3, Batch    161, Loss  0.863567, Average Loss  0.871314, Time  0.266506
2021-09-15 08:24:17.835116 : Epoch  3, Batch    162, Loss  0.872781, Average Loss  0.871244, Time  0.266356
2021-09-15 08:24:20.834897 : Epoch  3, Batch    163, Loss  0.868700, Average Loss  0.871237, Time  0.267844
2021-09-15 08:24:23.872848 : Epoch  3, Batch    164, Loss  0.875599, Average Loss  0.871314, Time  0.265033
2021-09-15 08:24:26.878572 : Epoch  3, Batch    165, Loss  0.869960, Average Loss  0.871360, Time  0.264905
2021-09-15 08:24:29.892628 : Epoch  3, Batch    166, Loss  0.853704, Average Loss  0.871178, Time  0.266385
2021-09-15 08:24:32.907907 : Epoch  3, Batch    167, Loss  0.872274, Average Loss  0.871225, Time  0.266083
2021-09-15 08:24:35.909716 : Epoch  3, Batch    168, Loss  0.880539, Average Loss  0.871264, Time  0.264655
2021-09-15 08:24:38.939683 : Epoch  3, Batch    169, Loss  0.878229, Average Loss  0.871332, Time  0.265478
2021-09-15 08:24:41.970747 : Epoch  3, Batch    170, Loss  0.874911, Average Loss  0.871349, Time  0.266431
2021-09-15 08:24:44.956122 : Epoch  3, Batch    171, Loss  0.844870, Average Loss  0.871211, Time  0.264340
2021-09-15 08:24:47.955627 : Epoch  3, Batch    172, Loss  0.869591, Average Loss  0.871161, Time  0.279408
2021-09-15 08:24:50.952980 : Epoch  3, Batch    173, Loss  0.871171, Average Loss  0.871194, Time  0.265574
2021-09-15 08:24:53.984623 : Epoch  3, Batch    174, Loss  0.850891, Average Loss  0.871128, Time  0.266034
2021-09-15 08:24:57.010623 : Epoch  3, Batch    175, Loss  0.873100, Average Loss  0.871202, Time  0.265340
2021-09-15 08:25:00.050066 : Epoch  3, Batch    176, Loss  0.865756, Average Loss  0.871215, Time  0.265017
2021-09-15 08:25:03.074121 : Epoch  3, Batch    177, Loss  0.889686, Average Loss  0.871278, Time  0.266300
2021-09-15 08:25:06.108206 : Epoch  3, Batch    178, Loss  0.876228, Average Loss  0.871370, Time  0.264533
2021-09-15 08:25:09.136723 : Epoch  3, Batch    179, Loss  0.866985, Average Loss  0.871445, Time  0.265173
2021-09-15 08:25:12.131816 : Epoch  3, Batch    180, Loss  0.862656, Average Loss  0.871525, Time  0.265300
2021-09-15 08:25:15.136995 : Epoch  3, Batch    181, Loss  0.882456, Average Loss  0.871578, Time  0.265815
2021-09-15 08:25:18.135016 : Epoch  3, Batch    182, Loss  0.877174, Average Loss  0.871468, Time  0.265064
2021-09-15 08:25:21.174818 : Epoch  3, Batch    183, Loss  0.876137, Average Loss  0.871432, Time  0.267299
2021-09-15 08:25:24.219501 : Epoch  3, Batch    184, Loss  0.878228, Average Loss  0.871535, Time  0.264468
2021-09-15 08:25:27.215286 : Epoch  3, Batch    185, Loss  0.871088, Average Loss  0.871508, Time  0.264637
2021-09-15 08:25:30.209999 : Epoch  3, Batch    186, Loss  0.873613, Average Loss  0.871537, Time  0.265868
2021-09-15 08:25:33.215543 : Epoch  3, Batch    187, Loss  0.887006, Average Loss  0.871659, Time  0.272332
2021-09-15 08:25:36.244526 : Epoch  3, Batch    188, Loss  0.878551, Average Loss  0.871755, Time  0.265706
2021-09-15 08:30:16.191507 : CheckPoint: Validation Loss  0.00029758, Best Loss  0.00029571
2021-09-15 08:30:19.196258 : Epoch  3, Batch    189, Loss  0.854695, Average Loss  0.871717, Time  0.267888
2021-09-15 08:30:22.183034 : Epoch  3, Batch    190, Loss  0.859960, Average Loss  0.871654, Time  0.264736
2021-09-15 08:30:25.167733 : Epoch  3, Batch    191, Loss  0.868891, Average Loss  0.871665, Time  0.264800
2021-09-15 08:30:28.165910 : Epoch  3, Batch    192, Loss  0.862785, Average Loss  0.871651, Time  0.264422
2021-09-15 08:30:31.175069 : Epoch  3, Batch    193, Loss  0.872925, Average Loss  0.871620, Time  0.265565
2021-09-15 08:30:34.203415 : Epoch  3, Batch    194, Loss  0.866311, Average Loss  0.871609, Time  0.264366
2021-09-15 08:30:37.216693 : Epoch  3, Batch    195, Loss  0.891133, Average Loss  0.871722, Time  0.265378
2021-09-15 08:30:40.213200 : Epoch  3, Batch    196, Loss  0.877883, Average Loss  0.871678, Time  0.265712
2021-09-15 08:30:43.207922 : Epoch  3, Batch    197, Loss  0.877153, Average Loss  0.871633, Time  0.264752
2021-09-15 08:30:46.180426 : Epoch  3, Batch    198, Loss  0.866746, Average Loss  0.871468, Time  0.264976
2021-09-15 08:30:49.183415 : Epoch  3, Batch    199, Loss  0.873988, Average Loss  0.871580, Time  0.265353
2021-09-15 08:30:52.218166 : Epoch  3, Batch    200, Loss  0.851353, Average Loss  0.871379, Time  0.265454
2021-09-15 08:30:55.233348 : Epoch  3, Batch    201, Loss  0.875753, Average Loss  0.871300, Time  0.276616
2021-09-15 08:30:58.230425 : Epoch  3, Batch    202, Loss  0.881505, Average Loss  0.871250, Time  0.264884
2021-09-15 08:31:01.227972 : Epoch  3, Batch    203, Loss  0.877466, Average Loss  0.871369, Time  0.266348
2021-09-15 08:31:04.221261 : Epoch  3, Batch    204, Loss  0.870075, Average Loss  0.871370, Time  0.265038
2021-09-15 08:31:07.223246 : Epoch  3, Batch    205, Loss  0.862408, Average Loss  0.871394, Time  0.265229
2021-09-15 08:31:10.230715 : Epoch  3, Batch    206, Loss  0.869670, Average Loss  0.871314, Time  0.265949
2021-09-15 08:31:13.254054 : Epoch  3, Batch    207, Loss  0.864123, Average Loss  0.871377, Time  0.264821
2021-09-15 08:31:16.253735 : Epoch  3, Batch    208, Loss  0.854477, Average Loss  0.871225, Time  0.264779
2021-09-15 08:31:19.253841 : Epoch  3, Batch    209, Loss  0.832476, Average Loss  0.871106, Time  0.265141
2021-09-15 08:31:22.254533 : Epoch  3, Batch    210, Loss  0.877589, Average Loss  0.871103, Time  0.265792
2021-09-15 08:31:25.243077 : Epoch  3, Batch    211, Loss  0.867131, Average Loss  0.871104, Time  0.264969
2021-09-15 08:31:28.265319 : Epoch  3, Batch    212, Loss  0.871276, Average Loss  0.871144, Time  0.266480
2021-09-15 08:31:31.279717 : Epoch  3, Batch    213, Loss  0.863382, Average Loss  0.870955, Time  0.264234
2021-09-15 08:31:34.282655 : Epoch  3, Batch    214, Loss  0.896702, Average Loss  0.870986, Time  0.265558
2021-09-15 08:31:37.275954 : Epoch  3, Batch    215, Loss  0.870286, Average Loss  0.870933, Time  0.264377
2021-09-15 08:31:40.262972 : Epoch  3, Batch    216, Loss  0.853592, Average Loss  0.870742, Time  0.277963
2021-09-15 08:31:43.253829 : Epoch  3, Batch    217, Loss  0.893173, Average Loss  0.870889, Time  0.265126
2021-09-15 08:31:46.254079 : Epoch  3, Batch    218, Loss  0.892592, Average Loss  0.870902, Time  0.264755
2021-09-15 08:31:49.239794 : Epoch  3, Batch    219, Loss  0.871531, Average Loss  0.870972, Time  0.265081
2021-09-15 08:31:52.269529 : Epoch  3, Batch    220, Loss  0.872991, Average Loss  0.871088, Time  0.265699
2021-09-15 08:31:55.292914 : Epoch  3, Batch    221, Loss  0.868239, Average Loss  0.871092, Time  0.266639
2021-09-15 08:31:58.298708 : Epoch  3, Batch    222, Loss  0.867532, Average Loss  0.871112, Time  0.265108
2021-09-15 08:32:01.287872 : Epoch  3, Batch    223, Loss  0.868235, Average Loss  0.871245, Time  0.265797
2021-09-15 08:32:04.279349 : Epoch  3, Batch    224, Loss  0.877798, Average Loss  0.871312, Time  0.264790
2021-09-15 08:32:07.267680 : Epoch  3, Batch    225, Loss  0.867655, Average Loss  0.871408, Time  0.265066
2021-09-15 08:32:10.266096 : Epoch  3, Batch    226, Loss  0.884770, Average Loss  0.871508, Time  0.264732
2021-09-15 08:32:13.263032 : Epoch  3, Batch    227, Loss  0.849286, Average Loss  0.871328, Time  0.265061
2021-09-15 08:32:16.281289 : Epoch  3, Batch    228, Loss  0.887831, Average Loss  0.871277, Time  0.267005
2021-09-15 08:32:19.281330 : Epoch  3, Batch    229, Loss  0.868938, Average Loss  0.871190, Time  0.263899
2021-09-15 08:32:22.255178 : Epoch  3, Batch    230, Loss  0.869709, Average Loss  0.871287, Time  0.264567
2021-09-15 08:32:25.264073 : Epoch  3, Batch    231, Loss  0.887136, Average Loss  0.871454, Time  0.277143
2021-09-15 08:32:28.260348 : Epoch  3, Batch    232, Loss  0.870214, Average Loss  0.871481, Time  0.264374
2021-09-15 08:32:31.289264 : Epoch  3, Batch    233, Loss  0.881187, Average Loss  0.871585, Time  0.265414
2021-09-15 08:32:34.311520 : Epoch  3, Batch    234, Loss  0.866329, Average Loss  0.871597, Time  0.264940
2021-09-15 08:32:37.311197 : Epoch  3, Batch    235, Loss  0.890831, Average Loss  0.871645, Time  0.265298
2021-09-15 08:32:40.317073 : Epoch  3, Batch    236, Loss  0.858433, Average Loss  0.871579, Time  0.264937
2021-09-15 08:32:43.317620 : Epoch  3, Batch    237, Loss  0.891397, Average Loss  0.871683, Time  0.265647
2021-09-15 08:32:46.315993 : Epoch  3, Batch    238, Loss  0.881474, Average Loss  0.871698, Time  0.264298
2021-09-15 08:32:49.318387 : Epoch  3, Batch    239, Loss  0.882784, Average Loss  0.871723, Time  0.266393
2021-09-15 08:32:52.302619 : Epoch  3, Batch    240, Loss  0.867570, Average Loss  0.871571, Time  0.264649
2021-09-15 08:32:55.316534 : Epoch  3, Batch    241, Loss  0.859447, Average Loss  0.871429, Time  0.265667
2021-09-15 08:32:58.329546 : Epoch  3, Batch    242, Loss  0.885466, Average Loss  0.871493, Time  0.266844
2021-09-15 08:33:01.336160 : Epoch  3, Batch    243, Loss  0.867799, Average Loss  0.871447, Time  0.265773
2021-09-15 08:33:04.354120 : Epoch  3, Batch    244, Loss  0.874950, Average Loss  0.871482, Time  0.265734
2021-09-15 08:33:07.341132 : Epoch  3, Batch    245, Loss  0.879810, Average Loss  0.871512, Time  0.265092
2021-09-15 08:33:10.353445 : Epoch  3, Batch    246, Loss  0.858145, Average Loss  0.871505, Time  0.278276
2021-09-15 08:33:13.359043 : Epoch  3, Batch    247, Loss  0.886187, Average Loss  0.871621, Time  0.265567
2021-09-15 08:33:16.380219 : Epoch  3, Batch    248, Loss  0.878352, Average Loss  0.871544, Time  0.265145
2021-09-15 08:33:19.384265 : Epoch  3, Batch    249, Loss  0.870203, Average Loss  0.871583, Time  0.266452
2021-09-15 08:33:22.408435 : Epoch  3, Batch    250, Loss  0.878322, Average Loss  0.871582, Time  0.264403
2021-09-15 08:33:25.386505 : Epoch  3, Batch    251, Loss  0.877958, Average Loss  0.871697, Time  0.264584
2021-09-15 08:33:28.413691 : Epoch  3, Batch    252, Loss  0.874536, Average Loss  0.871722, Time  0.265041
2021-09-15 08:33:31.432590 : Epoch  3, Batch    253, Loss  0.861163, Average Loss  0.871672, Time  0.266040
2021-09-15 08:33:34.466534 : Epoch  3, Batch    254, Loss  0.876909, Average Loss  0.871594, Time  0.265489
2021-09-15 08:33:37.454289 : Epoch  3, Batch    255, Loss  0.877660, Average Loss  0.871578, Time  0.265409
2021-09-15 08:33:40.466843 : Epoch  3, Batch    256, Loss  0.857615, Average Loss  0.871617, Time  0.265458
2021-09-15 08:33:43.484939 : Epoch  3, Batch    257, Loss  0.856975, Average Loss  0.871533, Time  0.265611
2021-09-15 08:33:46.491115 : Epoch  3, Batch    258, Loss  0.873603, Average Loss  0.871549, Time  0.265715
2021-09-15 08:33:49.500832 : Epoch  3, Batch    259, Loss  0.876268, Average Loss  0.871528, Time  0.265621
2021-09-15 08:33:52.515541 : Epoch  3, Batch    260, Loss  0.877509, Average Loss  0.871580, Time  0.267223
2021-09-15 08:33:55.561289 : Epoch  3, Batch    261, Loss  0.888794, Average Loss  0.871476, Time  0.275943
2021-09-15 08:33:58.510424 : Epoch  3, Batch    262, Loss  0.880465, Average Loss  0.871570, Time  0.265537
2021-09-15 08:34:01.514110 : Epoch  3, Batch    263, Loss  0.847286, Average Loss  0.871441, Time  0.265361
2021-09-15 08:34:04.527477 : Epoch  3, Batch    264, Loss  0.874035, Average Loss  0.871489, Time  0.265898
2021-09-15 08:34:07.517618 : Epoch  3, Batch    265, Loss  0.869231, Average Loss  0.871555, Time  0.265102
2021-09-15 08:34:10.544564 : Epoch  3, Batch    266, Loss  0.865274, Average Loss  0.871516, Time  0.265289
2021-09-15 08:34:13.535555 : Epoch  3, Batch    267, Loss  0.876849, Average Loss  0.871551, Time  0.264998
2021-09-15 08:34:16.524761 : Epoch  3, Batch    268, Loss  0.868421, Average Loss  0.871501, Time  0.265033
2021-09-15 08:34:19.537321 : Epoch  3, Batch    269, Loss  0.886430, Average Loss  0.871517, Time  0.264889
2021-09-15 08:34:22.534682 : Epoch  3, Batch    270, Loss  0.871015, Average Loss  0.871537, Time  0.264963
2021-09-15 08:34:25.539919 : Epoch  3, Batch    271, Loss  0.882076, Average Loss  0.871607, Time  0.265877
2021-09-15 08:34:28.550068 : Epoch  3, Batch    272, Loss  0.856124, Average Loss  0.871415, Time  0.264182
2021-09-15 08:34:31.564492 : Epoch  3, Batch    273, Loss  0.860843, Average Loss  0.871308, Time  0.264076
2021-09-15 08:34:34.558658 : Epoch  3, Batch    274, Loss  0.870522, Average Loss  0.871235, Time  0.265013
2021-09-15 08:34:37.574490 : Epoch  3, Batch    275, Loss  0.863911, Average Loss  0.871308, Time  0.264478
2021-09-15 08:34:40.584231 : Epoch  3, Batch    276, Loss  0.870390, Average Loss  0.871279, Time  0.278514
2021-09-15 08:34:43.569118 : Epoch  3, Batch    277, Loss  0.867685, Average Loss  0.871294, Time  0.265840
2021-09-15 08:34:46.584730 : Epoch  3, Batch    278, Loss  0.880792, Average Loss  0.871354, Time  0.264875
2021-09-15 08:34:49.572916 : Epoch  3, Batch    279, Loss  0.849821, Average Loss  0.871289, Time  0.264992
2021-09-15 08:34:52.585632 : Epoch  3, Batch    280, Loss  0.867087, Average Loss  0.871298, Time  0.264921
2021-09-15 08:34:55.602710 : Epoch  3, Batch    281, Loss  0.869884, Average Loss  0.871393, Time  0.265314
2021-09-15 08:34:58.600276 : Epoch  3, Batch    282, Loss  0.875487, Average Loss  0.871360, Time  0.267180
2021-09-15 08:35:01.591258 : Epoch  3, Batch    283, Loss  0.875786, Average Loss  0.871298, Time  0.264779
2021-09-15 08:35:04.573103 : Epoch  3, Batch    284, Loss  0.849845, Average Loss  0.871149, Time  0.265296
2021-09-15 08:35:07.555541 : Epoch  3, Batch    285, Loss  0.865348, Average Loss  0.871170, Time  0.264905
2021-09-15 08:35:10.550602 : Epoch  3, Batch    286, Loss  0.870615, Average Loss  0.871052, Time  0.264642
2021-09-15 08:35:13.533111 : Epoch  3, Batch    287, Loss  0.871763, Average Loss  0.870945, Time  0.266008
2021-09-15 08:35:24.562473 : Epoch  3, Batch    288, Loss  0.891228, Average Loss  0.870933, Time  0.264866
2021-09-15 08:40:02.906933 : CheckPoint: Validation Loss  0.00030777, Best Loss  0.00029571
2021-09-15 08:40:05.928006 : Epoch  3, Batch    289, Loss  0.862501, Average Loss  0.870955, Time  0.274165
2021-09-15 08:40:08.936828 : Epoch  3, Batch    290, Loss  0.888882, Average Loss  0.870955, Time  0.264591
2021-09-15 08:40:11.926154 : Epoch  3, Batch    291, Loss  0.871507, Average Loss  0.871035, Time  0.265222
2021-09-15 08:40:14.919694 : Epoch  3, Batch    292, Loss  0.862808, Average Loss  0.870934, Time  0.265072
2021-09-15 08:40:17.920471 : Epoch  3, Batch    293, Loss  0.854681, Average Loss  0.870881, Time  0.265181
2021-09-15 08:40:20.918767 : Epoch  3, Batch    294, Loss  0.858187, Average Loss  0.870761, Time  0.264802
2021-09-15 08:40:23.946700 : Epoch  3, Batch    295, Loss  0.852592, Average Loss  0.870622, Time  0.267564
2021-09-15 08:40:26.958536 : Epoch  3, Batch    296, Loss  0.867469, Average Loss  0.870672, Time  0.264552
2021-09-15 08:40:29.953984 : Epoch  3, Batch    297, Loss  0.884935, Average Loss  0.870768, Time  0.265119
2021-09-15 08:40:32.971212 : Epoch  3, Batch    298, Loss  0.862692, Average Loss  0.870720, Time  0.265270
2021-09-15 08:40:35.953878 : Epoch  3, Batch    299, Loss  0.876674, Average Loss  0.870732, Time  0.266423
2021-09-15 08:40:38.988796 : Epoch  3, Batch    300, Loss  0.872608, Average Loss  0.870800, Time  0.265491
2021-09-15 08:40:42.019657 : Epoch  3, Batch    301, Loss  0.864565, Average Loss  0.870727, Time  0.266159
2021-09-15 08:40:45.024621 : Epoch  3, Batch    302, Loss  0.885944, Average Loss  0.870734, Time  0.265999
2021-09-15 08:40:48.015815 : Epoch  3, Batch    303, Loss  0.862185, Average Loss  0.870641, Time  0.265048
2021-09-15 08:40:51.045173 : Epoch  3, Batch    304, Loss  0.889189, Average Loss  0.870628, Time  0.273771
2021-09-15 08:40:54.054340 : Epoch  3, Batch    305, Loss  0.871418, Average Loss  0.870688, Time  0.265172
2021-09-15 08:40:57.065416 : Epoch  3, Batch    306, Loss  0.876887, Average Loss  0.870745, Time  0.265113
2021-09-15 08:41:00.062226 : Epoch  3, Batch    307, Loss  0.880560, Average Loss  0.870775, Time  0.264890
2021-09-15 08:41:03.050485 : Epoch  3, Batch    308, Loss  0.873579, Average Loss  0.870804, Time  0.264533
2021-09-15 08:41:06.044087 : Epoch  3, Batch    309, Loss  0.856766, Average Loss  0.870812, Time  0.264632
2021-09-15 08:41:09.045989 : Epoch  3, Batch    310, Loss  0.890456, Average Loss  0.870846, Time  0.264220
2021-09-15 08:41:12.074778 : Epoch  3, Batch    311, Loss  0.878614, Average Loss  0.870857, Time  0.264114
2021-09-15 08:41:15.070099 : Epoch  3, Batch    312, Loss  0.869147, Average Loss  0.870841, Time  0.265214
2021-09-15 08:41:18.063121 : Epoch  3, Batch    313, Loss  0.863643, Average Loss  0.870802, Time  0.264951
2021-09-15 08:41:21.053714 : Epoch  3, Batch    314, Loss  0.847272, Average Loss  0.870709, Time  0.264048
2021-09-15 08:41:24.062077 : Epoch  3, Batch    315, Loss  0.857561, Average Loss  0.870708, Time  0.265756
2021-09-15 08:41:27.061198 : Epoch  3, Batch    316, Loss  0.877688, Average Loss  0.870758, Time  0.264909
2021-09-15 08:41:30.072804 : Epoch  3, Batch    317, Loss  0.875144, Average Loss  0.870843, Time  0.264779
2021-09-15 08:41:33.071195 : Epoch  3, Batch    318, Loss  0.880148, Average Loss  0.870929, Time  0.264886
2021-09-15 08:41:36.110974 : Epoch  3, Batch    319, Loss  0.865931, Average Loss  0.870892, Time  0.277234
2021-09-15 08:41:39.111233 : Epoch  3, Batch    320, Loss  0.871460, Average Loss  0.870865, Time  0.266220
2021-09-15 08:41:42.143701 : Epoch  3, Batch    321, Loss  0.860557, Average Loss  0.870779, Time  0.266269
2021-09-15 08:41:45.147756 : Epoch  3, Batch    322, Loss  0.862263, Average Loss  0.870679, Time  0.265566
2021-09-15 08:41:48.157489 : Epoch  3, Batch    323, Loss  0.875161, Average Loss  0.870744, Time  0.266464
2021-09-15 08:41:51.177289 : Epoch  3, Batch    324, Loss  0.864804, Average Loss  0.870697, Time  0.264600
2021-09-15 08:41:54.204934 : Epoch  3, Batch    325, Loss  0.894102, Average Loss  0.870770, Time  0.265528
2021-09-15 08:41:57.214137 : Epoch  3, Batch    326, Loss  0.863679, Average Loss  0.870785, Time  0.264935
2021-09-15 08:42:00.216563 : Epoch  3, Batch    327, Loss  0.880443, Average Loss  0.870751, Time  0.265262
2021-09-15 08:42:03.236674 : Epoch  3, Batch    328, Loss  0.878434, Average Loss  0.870733, Time  0.264827
2021-09-15 08:42:06.269627 : Epoch  3, Batch    329, Loss  0.875416, Average Loss  0.870726, Time  0.266834
2021-09-15 08:42:09.257977 : Epoch  3, Batch    330, Loss  0.891995, Average Loss  0.870999, Time  0.265009
2021-09-15 08:42:12.258781 : Epoch  3, Batch    331, Loss  0.879927, Average Loss  0.870996, Time  0.265213
2021-09-15 08:42:15.284818 : Epoch  3, Batch    332, Loss  0.895230, Average Loss  0.871079, Time  0.265950
2021-09-15 08:42:18.289044 : Epoch  3, Batch    333, Loss  0.896128, Average Loss  0.871247, Time  0.265170
2021-09-15 08:42:21.342542 : Epoch  3, Batch    334, Loss  0.883879, Average Loss  0.871362, Time  0.279102
2021-09-15 08:42:24.343223 : Epoch  3, Batch    335, Loss  0.865825, Average Loss  0.871454, Time  0.264643
2021-09-15 08:42:27.370234 : Epoch  3, Batch    336, Loss  0.861318, Average Loss  0.871290, Time  0.264804
2021-09-15 08:42:30.370132 : Epoch  3, Batch    337, Loss  0.865983, Average Loss  0.871264, Time  0.266485
2021-09-15 08:42:31.824887 : Epoch  3, Batch    338, Loss  0.904523, Average Loss  0.871528, Time  0.164842
2021-09-15 08:42:34.848004 : Epoch  3, Batch    339, Loss  0.884239, Average Loss  0.871594, Time  0.264881
2021-09-15 08:42:37.872693 : Epoch  3, Batch    340, Loss  0.857992, Average Loss  0.871549, Time  0.265947
2021-09-15 08:42:40.862503 : Epoch  3, Batch    341, Loss  0.883704, Average Loss  0.871617, Time  0.265285
2021-09-15 08:42:43.877073 : Epoch  3, Batch    342, Loss  0.865723, Average Loss  0.871601, Time  0.266476
2021-09-15 08:42:46.884108 : Epoch  3, Batch    343, Loss  0.861725, Average Loss  0.871621, Time  0.265839
2021-09-15 08:42:49.900330 : Epoch  3, Batch    344, Loss  0.866517, Average Loss  0.871616, Time  0.265319
2021-09-15 08:42:52.919783 : Epoch  3, Batch    345, Loss  0.865717, Average Loss  0.871600, Time  0.264682
2021-09-15 08:42:55.913211 : Epoch  3, Batch    346, Loss  0.868439, Average Loss  0.871586, Time  0.264671
2021-09-15 08:42:58.926042 : Epoch  3, Batch    347, Loss  0.864984, Average Loss  0.871586, Time  0.265127
2021-09-15 08:43:01.932423 : Epoch  3, Batch    348, Loss  0.877503, Average Loss  0.871563, Time  0.264645
2021-09-15 08:43:04.959931 : Epoch  3, Batch    349, Loss  0.892821, Average Loss  0.871676, Time  0.264678
2021-09-15 08:43:07.970077 : Epoch  3, Batch    350, Loss  0.876700, Average Loss  0.871747, Time  0.279647
2021-09-15 08:43:10.977521 : Epoch  3, Batch    351, Loss  0.864489, Average Loss  0.871673, Time  0.264678
2021-09-15 08:43:13.978780 : Epoch  3, Batch    352, Loss  0.861785, Average Loss  0.871499, Time  0.266085
2021-09-15 08:43:16.979785 : Epoch  3, Batch    353, Loss  0.873342, Average Loss  0.871532, Time  0.264502
2021-09-15 08:43:19.975647 : Epoch  3, Batch    354, Loss  0.875565, Average Loss  0.871609, Time  0.264389
2021-09-15 08:43:22.982309 : Epoch  3, Batch    355, Loss  0.859929, Average Loss  0.871546, Time  0.265916
2021-09-15 08:43:26.009933 : Epoch  3, Batch    356, Loss  0.873361, Average Loss  0.871593, Time  0.264948
2021-09-15 08:43:29.027307 : Epoch  3, Batch    357, Loss  0.878219, Average Loss  0.871762, Time  0.265229
2021-09-15 08:43:32.060542 : Epoch  3, Batch    358, Loss  0.889565, Average Loss  0.871853, Time  0.265709
2021-09-15 08:43:35.069788 : Epoch  3, Batch    359, Loss  0.888018, Average Loss  0.872010, Time  0.265041
2021-09-15 08:43:38.075866 : Epoch  3, Batch    360, Loss  0.853239, Average Loss  0.871938, Time  0.266280
2021-09-15 08:43:41.083261 : Epoch  3, Batch    361, Loss  0.896456, Average Loss  0.872103, Time  0.264787
2021-09-15 08:43:44.110055 : Epoch  3, Batch    362, Loss  0.896732, Average Loss  0.872222, Time  0.265247
2021-09-15 08:43:47.142618 : Epoch  3, Batch    363, Loss  0.879973, Average Loss  0.872279, Time  0.266254
2021-09-15 08:43:50.164691 : Epoch  3, Batch    364, Loss  0.864882, Average Loss  0.872225, Time  0.265230
2021-09-15 08:43:53.183968 : Epoch  3, Batch    365, Loss  0.874338, Average Loss  0.872247, Time  0.276083
2021-09-15 08:43:56.188887 : Epoch  3, Batch    366, Loss  0.885000, Average Loss  0.872404, Time  0.264984
2021-09-15 08:43:59.183954 : Epoch  3, Batch    367, Loss  0.858291, Average Loss  0.872334, Time  0.265127
2021-09-15 08:44:02.227164 : Epoch  3, Batch    368, Loss  0.865079, Average Loss  0.872256, Time  0.266580
2021-09-15 08:44:05.226505 : Epoch  3, Batch    369, Loss  0.870488, Average Loss  0.872218, Time  0.265426
2021-09-15 08:44:08.269353 : Epoch  3, Batch    370, Loss  0.865227, Average Loss  0.872169, Time  0.265548
2021-09-15 08:44:11.232705 : Epoch  3, Batch    371, Loss  0.881213, Average Loss  0.872351, Time  0.265066
2021-09-15 08:44:14.222076 : Epoch  3, Batch    372, Loss  0.860171, Average Loss  0.872304, Time  0.264901
2021-09-15 08:44:17.258639 : Epoch  3, Batch    373, Loss  0.903701, Average Loss  0.872466, Time  0.265168
2021-09-15 08:44:20.283659 : Epoch  3, Batch    374, Loss  0.884467, Average Loss  0.872634, Time  0.264415
2021-09-15 08:44:23.334890 : Epoch  3, Batch    375, Loss  0.875574, Average Loss  0.872647, Time  0.266316
2021-09-15 08:44:26.350410 : Epoch  3, Batch    376, Loss  0.867873, Average Loss  0.872657, Time  0.266848
2021-09-15 08:44:29.336393 : Epoch  3, Batch    377, Loss  0.873362, Average Loss  0.872576, Time  0.265590
2021-09-15 08:44:32.343378 : Epoch  3, Batch    378, Loss  0.876724, Average Loss  0.872578, Time  0.265477
2021-09-15 08:44:35.355442 : Epoch  3, Batch    379, Loss  0.866643, Average Loss  0.872576, Time  0.266028
2021-09-15 08:44:38.403535 : Epoch  3, Batch    380, Loss  0.879113, Average Loss  0.872659, Time  0.279953
2021-09-15 08:44:41.429402 : Epoch  3, Batch    381, Loss  0.875052, Average Loss  0.872622, Time  0.267290
2021-09-15 08:44:44.436786 : Epoch  3, Batch    382, Loss  0.869020, Average Loss  0.872581, Time  0.266037
2021-09-15 08:44:47.495321 : Epoch  3, Batch    383, Loss  0.872436, Average Loss  0.872562, Time  0.264856
2021-09-15 08:44:50.489645 : Epoch  3, Batch    384, Loss  0.895672, Average Loss  0.872650, Time  0.266222
2021-09-15 08:44:53.505082 : Epoch  3, Batch    385, Loss  0.878053, Average Loss  0.872685, Time  0.264130
2021-09-15 08:44:56.496639 : Epoch  3, Batch    386, Loss  0.893363, Average Loss  0.872783, Time  0.266905
2021-09-15 08:44:59.498672 : Epoch  3, Batch    387, Loss  0.880127, Average Loss  0.872749, Time  0.265865
2021-09-15 08:45:02.519743 : Epoch  3, Batch    388, Loss  0.877404, Average Loss  0.872743, Time  0.265279
2021-09-15 08:49:43.165011 : CheckPoint: Validation Loss  0.00030118, Best Loss  0.00029571
2021-09-15 08:49:46.176034 : Epoch  3, Batch    389, Loss  0.875564, Average Loss  0.872847, Time  0.266145
2021-09-15 08:49:49.174045 : Epoch  3, Batch    390, Loss  0.872614, Average Loss  0.872911, Time  0.264903
2021-09-15 08:49:52.199385 : Epoch  3, Batch    391, Loss  0.859671, Average Loss  0.872865, Time  0.265070
2021-09-15 08:49:55.209660 : Epoch  3, Batch    392, Loss  0.868625, Average Loss  0.872894, Time  0.264973
2021-09-15 08:49:58.240267 : Epoch  3, Batch    393, Loss  0.870517, Average Loss  0.872882, Time  0.264842
2021-09-15 08:50:01.260970 : Epoch  3, Batch    394, Loss  0.866254, Average Loss  0.872882, Time  0.279063
2021-09-15 08:50:04.277754 : Epoch  3, Batch    395, Loss  0.889878, Average Loss  0.872875, Time  0.266257
2021-09-15 08:50:07.314576 : Epoch  3, Batch    396, Loss  0.861177, Average Loss  0.872792, Time  0.265563
2021-09-15 08:50:10.316580 : Epoch  3, Batch    397, Loss  0.862301, Average Loss  0.872717, Time  0.264823
2021-09-15 08:50:13.294312 : Epoch  3, Batch    398, Loss  0.866239, Average Loss  0.872715, Time  0.266454
2021-09-15 08:50:16.307199 : Epoch  3, Batch    399, Loss  0.877882, Average Loss  0.872734, Time  0.266194
2021-09-15 08:50:19.336373 : Epoch  3, Batch    400, Loss  0.863287, Average Loss  0.872794, Time  0.266314
2021-09-15 08:50:22.372002 : Epoch  3, Batch    401, Loss  0.848800, Average Loss  0.872659, Time  0.266186
2021-09-15 08:50:25.394280 : Epoch  3, Batch    402, Loss  0.847306, Average Loss  0.872488, Time  0.264910
2021-09-15 08:50:28.410085 : Epoch  3, Batch    403, Loss  0.879733, Average Loss  0.872500, Time  0.266482
2021-09-15 08:50:31.419070 : Epoch  3, Batch    404, Loss  0.875285, Average Loss  0.872526, Time  0.264421
2021-09-15 08:50:34.415470 : Epoch  3, Batch    405, Loss  0.872736, Average Loss  0.872577, Time  0.264834
2021-09-15 08:50:37.426656 : Epoch  3, Batch    406, Loss  0.859244, Average Loss  0.872525, Time  0.264851
2021-09-15 08:50:40.436822 : Epoch  3, Batch    407, Loss  0.883997, Average Loss  0.872625, Time  0.265283
2021-09-15 08:50:43.458113 : Epoch  3, Batch    408, Loss  0.881402, Average Loss  0.872759, Time  0.265734
2021-09-15 08:50:46.467079 : Epoch  3, Batch    409, Loss  0.851290, Average Loss  0.872853, Time  0.275785
2021-09-15 08:50:49.467967 : Epoch  3, Batch    410, Loss  0.863961, Average Loss  0.872785, Time  0.265512
2021-09-15 08:50:52.469531 : Epoch  3, Batch    411, Loss  0.898823, Average Loss  0.872944, Time  0.264660
2021-09-15 08:50:55.482747 : Epoch  3, Batch    412, Loss  0.851068, Average Loss  0.872843, Time  0.265208
2021-09-15 08:50:58.485843 : Epoch  3, Batch    413, Loss  0.849218, Average Loss  0.872772, Time  0.265584
2021-09-15 08:51:01.516496 : Epoch  3, Batch    414, Loss  0.872136, Average Loss  0.872649, Time  0.265279
2021-09-15 08:51:04.521931 : Epoch  3, Batch    415, Loss  0.873246, Average Loss  0.872664, Time  0.264862
2021-09-15 08:51:07.526121 : Epoch  3, Batch    416, Loss  0.848145, Average Loss  0.872636, Time  0.266197
2021-09-15 08:51:10.562149 : Epoch  3, Batch    417, Loss  0.871159, Average Loss  0.872526, Time  0.265836
2021-09-15 08:51:13.589623 : Epoch  3, Batch    418, Loss  0.853570, Average Loss  0.872331, Time  0.265930
2021-09-15 08:51:16.595917 : Epoch  3, Batch    419, Loss  0.877150, Average Loss  0.872359, Time  0.265753
2021-09-15 08:51:19.623702 : Epoch  3, Batch    420, Loss  0.868519, Average Loss  0.872337, Time  0.265496
2021-09-15 08:51:22.600762 : Epoch  3, Batch    421, Loss  0.862282, Average Loss  0.872307, Time  0.265850
2021-09-15 08:51:25.597413 : Epoch  3, Batch    422, Loss  0.876157, Average Loss  0.872350, Time  0.264707
2021-09-15 08:51:28.668714 : Epoch  3, Batch    423, Loss  0.878179, Average Loss  0.872400, Time  0.266445
2021-09-15 08:51:31.695195 : Epoch  3, Batch    424, Loss  0.851122, Average Loss  0.872267, Time  0.278358
2021-09-15 08:51:34.722948 : Epoch  3, Batch    425, Loss  0.868742, Average Loss  0.872272, Time  0.265618
2021-09-15 08:51:37.739705 : Epoch  3, Batch    426, Loss  0.861996, Average Loss  0.872158, Time  0.265579
2021-09-15 08:51:40.762429 : Epoch  3, Batch    427, Loss  0.882566, Average Loss  0.872325, Time  0.265111
2021-09-15 08:51:43.760521 : Epoch  3, Batch    428, Loss  0.890956, Average Loss  0.872340, Time  0.266418
2021-09-15 08:51:46.797011 : Epoch  3, Batch    429, Loss  0.854968, Average Loss  0.872270, Time  0.265565
2021-09-15 08:51:49.838416 : Epoch  3, Batch    430, Loss  0.886893, Average Loss  0.872356, Time  0.265739
2021-09-15 08:51:52.835282 : Epoch  3, Batch    431, Loss  0.843546, Average Loss  0.872138, Time  0.264986
2021-09-15 08:51:55.826870 : Epoch  3, Batch    432, Loss  0.871494, Average Loss  0.872145, Time  0.265226
2021-09-15 08:51:58.827947 : Epoch  3, Batch    433, Loss  0.865138, Average Loss  0.872065, Time  0.264545
2021-09-15 08:52:01.828994 : Epoch  3, Batch    434, Loss  0.865065, Average Loss  0.872058, Time  0.264857
2021-09-15 08:52:04.848898 : Epoch  3, Batch    435, Loss  0.865665, Average Loss  0.871932, Time  0.264728
2021-09-15 08:52:07.842955 : Epoch  3, Batch    436, Loss  0.872875, Average Loss  0.872005, Time  0.264584
2021-09-15 08:52:10.865525 : Epoch  3, Batch    437, Loss  0.857847, Average Loss  0.871837, Time  0.266622
2021-09-15 08:52:13.878368 : Epoch  3, Batch    438, Loss  0.865263, Average Loss  0.871756, Time  0.266199
2021-09-15 08:52:16.897069 : Epoch  3, Batch    439, Loss  0.878847, Average Loss  0.871736, Time  0.275506
2021-09-15 08:52:19.900433 : Epoch  3, Batch    440, Loss  0.892790, Average Loss  0.871862, Time  0.266035
2021-09-15 08:52:22.918034 : Epoch  3, Batch    441, Loss  0.873506, Average Loss  0.871933, Time  0.264919
2021-09-15 08:52:25.910158 : Epoch  3, Batch    442, Loss  0.865994, Average Loss  0.871835, Time  0.265810
2021-09-15 08:52:28.910312 : Epoch  3, Batch    443, Loss  0.852951, Average Loss  0.871761, Time  0.265172
2021-09-15 08:52:31.900052 : Epoch  3, Batch    444, Loss  0.850843, Average Loss  0.871640, Time  0.264972
2021-09-15 08:52:34.941053 : Epoch  3, Batch    445, Loss  0.890085, Average Loss  0.871692, Time  0.264693
2021-09-15 08:52:37.955826 : Epoch  3, Batch    446, Loss  0.852532, Average Loss  0.871664, Time  0.265186
2021-09-15 08:52:40.970993 : Epoch  3, Batch    447, Loss  0.853066, Average Loss  0.871498, Time  0.264674
2021-09-15 08:52:43.968035 : Epoch  3, Batch    448, Loss  0.852500, Average Loss  0.871369, Time  0.265406
2021-09-15 08:52:46.988313 : Epoch  3, Batch    449, Loss  0.870760, Average Loss  0.871372, Time  0.264929
2021-09-15 08:52:49.983711 : Epoch  3, Batch    450, Loss  0.869026, Average Loss  0.871325, Time  0.265211
2021-09-15 08:52:53.006369 : Epoch  3, Batch    451, Loss  0.874151, Average Loss  0.871306, Time  0.265705
2021-09-15 08:52:56.040819 : Epoch  3, Batch    452, Loss  0.859889, Average Loss  0.871233, Time  0.264925
2021-09-15 08:52:59.049092 : Epoch  3, Batch    453, Loss  0.868167, Average Loss  0.871268, Time  0.264785
2021-09-15 08:53:02.041794 : Epoch  3, Batch    454, Loss  0.869740, Average Loss  0.871232, Time  0.272352
2021-09-15 08:53:05.003017 : Epoch  3, Batch    455, Loss  0.877421, Average Loss  0.871231, Time  0.263522
2021-09-15 08:53:07.986886 : Epoch  3, Batch    456, Loss  0.873280, Average Loss  0.871309, Time  0.265596
2021-09-15 08:53:10.978974 : Epoch  3, Batch    457, Loss  0.867830, Average Loss  0.871363, Time  0.264542
2021-09-15 08:53:13.974980 : Epoch  3, Batch    458, Loss  0.891427, Average Loss  0.871453, Time  0.267996
2021-09-15 08:53:17.005815 : Epoch  3, Batch    459, Loss  0.859846, Average Loss  0.871370, Time  0.265375
2021-09-15 08:53:19.999429 : Epoch  3, Batch    460, Loss  0.878016, Average Loss  0.871373, Time  0.265440
2021-09-15 08:53:23.001900 : Epoch  3, Batch    461, Loss  0.879069, Average Loss  0.871324, Time  0.266464
2021-09-15 08:53:26.024142 : Epoch  3, Batch    462, Loss  0.859913, Average Loss  0.871222, Time  0.265693
2021-09-15 08:53:29.047959 : Epoch  3, Batch    463, Loss  0.874086, Average Loss  0.871356, Time  0.264258
2021-09-15 08:53:32.060210 : Epoch  3, Batch    464, Loss  0.882263, Average Loss  0.871397, Time  0.264615
2021-09-15 08:53:35.076396 : Epoch  3, Batch    465, Loss  0.876560, Average Loss  0.871433, Time  0.265969
2021-09-15 08:53:38.105017 : Epoch  3, Batch    466, Loss  0.870822, Average Loss  0.871461, Time  0.265831
2021-09-15 08:53:41.107303 : Epoch  3, Batch    467, Loss  0.868471, Average Loss  0.871419, Time  0.264054
2021-09-15 08:53:44.106455 : Epoch  3, Batch    468, Loss  0.876062, Average Loss  0.871457, Time  0.264608
2021-09-15 08:53:47.101933 : Epoch  3, Batch    469, Loss  0.853948, Average Loss  0.871295, Time  0.278288
2021-09-15 08:53:50.088806 : Epoch  3, Batch    470, Loss  0.853420, Average Loss  0.871207, Time  0.265007
2021-09-15 08:53:53.082572 : Epoch  3, Batch    471, Loss  0.890196, Average Loss  0.871248, Time  0.264871
2021-09-15 08:53:56.075160 : Epoch  3, Batch    472, Loss  0.890972, Average Loss  0.871422, Time  0.266526
2021-09-15 08:53:59.039571 : Epoch  3, Batch    473, Loss  0.860902, Average Loss  0.871422, Time  0.265091
2021-09-15 08:54:02.025051 : Epoch  3, Batch    474, Loss  0.879242, Average Loss  0.871466, Time  0.264414
2021-09-15 08:54:05.008504 : Epoch  3, Batch    475, Loss  0.886661, Average Loss  0.871580, Time  0.264407
2021-09-15 08:54:07.976235 : Epoch  3, Batch    476, Loss  0.863870, Average Loss  0.871547, Time  0.264719
2021-09-15 08:54:11.026116 : Epoch  3, Batch    477, Loss  0.855336, Average Loss  0.871485, Time  0.265162
2021-09-15 08:54:14.040433 : Epoch  3, Batch    478, Loss  0.853361, Average Loss  0.871348, Time  0.266943
2021-09-15 08:54:17.045745 : Epoch  3, Batch    479, Loss  0.902160, Average Loss  0.871610, Time  0.264603
2021-09-15 08:54:20.053083 : Epoch  3, Batch    480, Loss  0.876922, Average Loss  0.871659, Time  0.265962
2021-09-15 08:54:23.066637 : Epoch  3, Batch    481, Loss  0.890550, Average Loss  0.871762, Time  0.265506
2021-09-15 08:54:26.081472 : Epoch  3, Batch    482, Loss  0.873184, Average Loss  0.871751, Time  0.264778
2021-09-15 08:54:29.074712 : Epoch  3, Batch    483, Loss  0.864023, Average Loss  0.871692, Time  0.265190
2021-09-15 08:54:32.090768 : Epoch  3, Batch    484, Loss  0.874659, Average Loss  0.871816, Time  0.275183
2021-09-15 08:54:35.101161 : Epoch  3, Batch    485, Loss  0.862403, Average Loss  0.871801, Time  0.264964
2021-09-15 08:54:38.121270 : Epoch  3, Batch    486, Loss  0.887037, Average Loss  0.871883, Time  0.264763
2021-09-15 08:54:41.138475 : Epoch  3, Batch    487, Loss  0.878355, Average Loss  0.871916, Time  0.264562
2021-09-15 08:54:44.153176 : Epoch  3, Batch    488, Loss  0.849400, Average Loss  0.871707, Time  0.266085
2021-09-15 08:59:23.491992 : CheckPoint: Validation Loss  0.00030241, Best Loss  0.00029571
2021-09-15 08:59:26.488251 : Epoch  3, Batch    489, Loss  0.858622, Average Loss  0.871688, Time  0.267709
2021-09-15 08:59:29.514450 : Epoch  3, Batch    490, Loss  0.867573, Average Loss  0.871581, Time  0.265034
2021-09-15 08:59:32.509848 : Epoch  3, Batch    491, Loss  0.872740, Average Loss  0.871587, Time  0.264509
2021-09-15 08:59:35.503541 : Epoch  3, Batch    492, Loss  0.870488, Average Loss  0.871626, Time  0.265101
2021-09-15 08:59:38.502137 : Epoch  3, Batch    493, Loss  0.871044, Average Loss  0.871708, Time  0.264458
2021-09-15 08:59:41.512738 : Epoch  3, Batch    494, Loss  0.864260, Average Loss  0.871738, Time  0.265255
2021-09-15 08:59:44.532200 : Epoch  3, Batch    495, Loss  0.875766, Average Loss  0.871854, Time  0.264772
2021-09-15 08:59:47.547812 : Epoch  3, Batch    496, Loss  0.879582, Average Loss  0.871914, Time  0.264943
2021-09-15 08:59:50.545078 : Epoch  3, Batch    497, Loss  0.875448, Average Loss  0.871867, Time  0.265129
2021-09-15 08:59:53.558986 : Epoch  3, Batch    498, Loss  0.851882, Average Loss  0.871813, Time  0.277840
2021-09-15 08:59:56.554159 : Epoch  3, Batch    499, Loss  0.879220, Average Loss  0.871826, Time  0.266796
2021-09-15 08:59:59.531273 : Epoch  3, Batch    500, Loss  0.863248, Average Loss  0.871779, Time  0.264976
2021-09-15 09:00:02.514117 : Epoch  3, Batch    501, Loss  0.884814, Average Loss  0.871880, Time  0.265152
2021-09-15 09:00:05.509406 : Epoch  3, Batch    502, Loss  0.856174, Average Loss  0.871731, Time  0.265335
2021-09-15 09:00:08.527783 : Epoch  3, Batch    503, Loss  0.844202, Average Loss  0.871641, Time  0.264971
2021-09-15 09:00:11.555123 : Epoch  3, Batch    504, Loss  0.836657, Average Loss  0.871379, Time  0.265705
2021-09-15 09:00:14.548393 : Epoch  3, Batch    505, Loss  0.864025, Average Loss  0.871342, Time  0.265567
2021-09-15 09:00:17.538468 : Epoch  3, Batch    506, Loss  0.896784, Average Loss  0.871441, Time  0.264668
2021-09-15 09:00:20.528394 : Epoch  3, Batch    507, Loss  0.870508, Average Loss  0.871391, Time  0.264559
2021-09-15 09:00:23.548181 : Epoch  3, Batch    508, Loss  0.866035, Average Loss  0.871353, Time  0.265925
2021-09-15 09:00:26.529533 : Epoch  3, Batch    509, Loss  0.878503, Average Loss  0.871462, Time  0.265706
2021-09-15 09:00:29.519839 : Epoch  3, Batch    510, Loss  0.873760, Average Loss  0.871378, Time  0.265899
2021-09-15 09:00:32.516210 : Epoch  3, Batch    511, Loss  0.876805, Average Loss  0.871369, Time  0.264678
2021-09-15 09:00:35.507745 : Epoch  3, Batch    512, Loss  0.892677, Average Loss  0.871487, Time  0.265257
2021-09-15 09:00:38.512180 : Epoch  3, Batch    513, Loss  0.863758, Average Loss  0.871488, Time  0.277946
2021-09-15 09:00:41.544378 : Epoch  3, Batch    514, Loss  0.857666, Average Loss  0.871540, Time  0.266242
2021-09-15 09:00:44.550107 : Epoch  3, Batch    515, Loss  0.864451, Average Loss  0.871574, Time  0.264732
2021-09-15 09:00:47.540283 : Epoch  3, Batch    516, Loss  0.855385, Average Loss  0.871463, Time  0.264250
2021-09-15 09:00:50.529387 : Epoch  3, Batch    517, Loss  0.867944, Average Loss  0.871427, Time  0.265315
2021-09-15 09:00:53.561321 : Epoch  3, Batch    518, Loss  0.883586, Average Loss  0.871444, Time  0.266705
2021-09-15 09:00:56.609287 : Epoch  3, Batch    519, Loss  0.887305, Average Loss  0.871551, Time  0.266350
2021-09-15 09:00:59.612998 : Epoch  3, Batch    520, Loss  0.852652, Average Loss  0.871457, Time  0.265322
2021-09-15 09:01:02.645923 : Epoch  3, Batch    521, Loss  0.867217, Average Loss  0.871490, Time  0.265482
2021-09-15 09:01:05.657614 : Epoch  3, Batch    522, Loss  0.886080, Average Loss  0.871609, Time  0.265083
2021-09-15 09:01:08.679388 : Epoch  3, Batch    523, Loss  0.889802, Average Loss  0.871682, Time  0.265809
2021-09-15 09:01:11.677074 : Epoch  3, Batch    524, Loss  0.881778, Average Loss  0.871767, Time  0.264367
2021-09-15 09:01:14.668645 : Epoch  3, Batch    525, Loss  0.858342, Average Loss  0.871588, Time  0.265959
2021-09-15 09:01:17.676854 : Epoch  3, Batch    526, Loss  0.870205, Average Loss  0.871621, Time  0.264629
2021-09-15 09:01:20.649747 : Epoch  3, Batch    527, Loss  0.877791, Average Loss  0.871608, Time  0.264732
2021-09-15 09:01:23.683211 : Epoch  3, Batch    528, Loss  0.879523, Average Loss  0.871613, Time  0.276491
2021-09-15 09:01:26.713069 : Epoch  3, Batch    529, Loss  0.860932, Average Loss  0.871541, Time  0.264646
2021-09-15 09:01:29.703565 : Epoch  3, Batch    530, Loss  0.855769, Average Loss  0.871359, Time  0.264501
2021-09-15 09:01:32.702497 : Epoch  3, Batch    531, Loss  0.855978, Average Loss  0.871240, Time  0.264806
2021-09-15 09:01:35.698682 : Epoch  3, Batch    532, Loss  0.878321, Average Loss  0.871155, Time  0.264373
2021-09-15 09:01:38.697657 : Epoch  3, Batch    533, Loss  0.881447, Average Loss  0.871082, Time  0.265386
2021-09-15 09:01:41.722153 : Epoch  3, Batch    534, Loss  0.882760, Average Loss  0.871076, Time  0.264249
2021-09-15 09:01:44.714051 : Epoch  3, Batch    535, Loss  0.887380, Average Loss  0.871184, Time  0.266093
2021-09-15 09:01:47.704003 : Epoch  3, Batch    536, Loss  0.878264, Average Loss  0.871269, Time  0.264763
2021-09-15 09:01:50.733373 : Epoch  3, Batch    537, Loss  0.874353, Average Loss  0.871311, Time  0.264485
2021-09-15 09:01:53.736364 : Epoch  3, Batch    538, Loss  0.868418, Average Loss  0.871130, Time  0.265363
2021-09-15 09:01:56.768409 : Epoch  3, Batch    539, Loss  0.875775, Average Loss  0.871088, Time  0.267231
2021-09-15 09:01:59.775716 : Epoch  3, Batch    540, Loss  0.878388, Average Loss  0.871190, Time  0.266307
2021-09-15 09:02:02.792775 : Epoch  3, Batch    541, Loss  0.864339, Average Loss  0.871093, Time  0.265382
2021-09-15 09:02:05.784463 : Epoch  3, Batch    542, Loss  0.883894, Average Loss  0.871184, Time  0.265582
2021-09-15 09:02:08.824259 : Epoch  3, Batch    543, Loss  0.871046, Average Loss  0.871230, Time  0.277074
2021-09-15 09:02:11.822590 : Epoch  3, Batch    544, Loss  0.861707, Average Loss  0.871206, Time  0.265269
2021-09-15 09:02:14.826846 : Epoch  3, Batch    545, Loss  0.880641, Average Loss  0.871281, Time  0.265160
2021-09-15 09:02:17.816478 : Epoch  3, Batch    546, Loss  0.865103, Average Loss  0.871264, Time  0.264989
2021-09-15 09:02:20.812613 : Epoch  3, Batch    547, Loss  0.865790, Average Loss  0.871268, Time  0.265195
2021-09-15 09:02:23.810089 : Epoch  3, Batch    548, Loss  0.871644, Average Loss  0.871239, Time  0.264864
2021-09-15 09:02:26.815362 : Epoch  3, Batch    549, Loss  0.874816, Average Loss  0.871149, Time  0.265141
2021-09-15 09:02:29.808274 : Epoch  3, Batch    550, Loss  0.870534, Average Loss  0.871118, Time  0.265284
2021-09-15 09:02:32.808457 : Epoch  3, Batch    551, Loss  0.880693, Average Loss  0.871199, Time  0.264714
2021-09-15 09:02:35.811982 : Epoch  3, Batch    552, Loss  0.867415, Average Loss  0.871227, Time  0.265628
2021-09-15 09:02:38.827445 : Epoch  3, Batch    553, Loss  0.874265, Average Loss  0.871232, Time  0.264861
2021-09-15 09:02:41.832262 : Epoch  3, Batch    554, Loss  0.877914, Average Loss  0.871244, Time  0.264700
2021-09-15 09:02:44.843490 : Epoch  3, Batch    555, Loss  0.875376, Average Loss  0.871321, Time  0.265812
2021-09-15 09:02:47.878840 : Epoch  3, Batch    556, Loss  0.875518, Average Loss  0.871332, Time  0.264988
2021-09-15 09:02:50.911402 : Epoch  3, Batch    557, Loss  0.864627, Average Loss  0.871264, Time  0.265285
2021-09-15 09:02:53.885789 : Epoch  3, Batch    558, Loss  0.871428, Average Loss  0.871173, Time  0.276264
2021-09-15 09:02:56.929001 : Epoch  3, Batch    559, Loss  0.899384, Average Loss  0.871230, Time  0.267525
2021-09-15 09:02:59.935270 : Epoch  3, Batch    560, Loss  0.867535, Average Loss  0.871301, Time  0.266126
2021-09-15 09:03:02.960691 : Epoch  3, Batch    561, Loss  0.869603, Average Loss  0.871167, Time  0.265114
2021-09-15 09:03:05.962700 : Epoch  3, Batch    562, Loss  0.863360, Average Loss  0.871000, Time  0.265917
2021-09-15 09:03:08.949569 : Epoch  3, Batch    563, Loss  0.850893, Average Loss  0.870855, Time  0.266871
2021-09-15 09:03:11.900592 : Epoch  3, Batch    564, Loss  0.852200, Average Loss  0.870791, Time  0.265377
2021-09-15 09:03:14.930602 : Epoch  3, Batch    565, Loss  0.876259, Average Loss  0.870801, Time  0.265836
2021-09-15 09:03:17.929817 : Epoch  3, Batch    566, Loss  0.867989, Average Loss  0.870716, Time  0.265002
2021-09-15 09:03:20.946668 : Epoch  3, Batch    567, Loss  0.871304, Average Loss  0.870781, Time  0.265283
2021-09-15 09:03:23.940685 : Epoch  3, Batch    568, Loss  0.881778, Average Loss  0.870864, Time  0.264774
2021-09-15 09:03:26.926005 : Epoch  3, Batch    569, Loss  0.888041, Average Loss  0.870952, Time  0.264812
2021-09-15 09:03:29.921939 : Epoch  3, Batch    570, Loss  0.856882, Average Loss  0.870910, Time  0.264971
2021-09-15 09:03:32.926481 : Epoch  3, Batch    571, Loss  0.876876, Average Loss  0.870889, Time  0.264512
2021-09-15 09:03:35.958457 : Epoch  3, Batch    572, Loss  0.875681, Average Loss  0.870966, Time  0.265328
2021-09-15 09:03:38.967190 : Epoch  3, Batch    573, Loss  0.864669, Average Loss  0.870771, Time  0.271001
2021-09-15 09:03:41.994371 : Epoch  3, Batch    574, Loss  0.881061, Average Loss  0.870754, Time  0.265036
2021-09-15 09:03:45.006170 : Epoch  3, Batch    575, Loss  0.861255, Average Loss  0.870683, Time  0.264348
2021-09-15 09:03:47.995947 : Epoch  3, Batch    576, Loss  0.875935, Average Loss  0.870723, Time  0.264593
2021-09-15 09:03:50.998566 : Epoch  3, Batch    577, Loss  0.887574, Average Loss  0.870794, Time  0.265674
2021-09-15 09:03:54.030444 : Epoch  3, Batch    578, Loss  0.833240, Average Loss  0.870577, Time  0.265316
2021-09-15 09:03:57.045299 : Epoch  3, Batch    579, Loss  0.877228, Average Loss  0.870629, Time  0.266613
2021-09-15 09:04:00.037399 : Epoch  3, Batch    580, Loss  0.876072, Average Loss  0.870614, Time  0.264539
2021-09-15 09:04:03.067825 : Epoch  3, Batch    581, Loss  0.854617, Average Loss  0.870512, Time  0.267212
2021-09-15 09:04:06.067160 : Epoch  3, Batch    582, Loss  0.861825, Average Loss  0.870476, Time  0.264838
2021-09-15 09:04:09.062221 : Epoch  3, Batch    583, Loss  0.870496, Average Loss  0.870466, Time  0.264994
2021-09-15 09:04:12.081111 : Epoch  3, Batch    584, Loss  0.845230, Average Loss  0.870214, Time  0.265018
2021-09-15 09:04:15.107159 : Epoch  3, Batch    585, Loss  0.850119, Average Loss  0.870075, Time  0.265819
2021-09-15 09:04:18.151839 : Epoch  3, Batch    586, Loss  0.878684, Average Loss  0.870001, Time  0.264537
2021-09-15 09:04:21.175511 : Epoch  3, Batch    587, Loss  0.856874, Average Loss  0.869885, Time  0.265265
2021-09-15 09:04:24.185210 : Epoch  3, Batch    588, Loss  0.857342, Average Loss  0.869785, Time  0.276294
2021-09-15 09:09:04.681530 : CheckPoint: Validation Loss  0.00030111, Best Loss  0.00029571
2021-09-15 09:09:07.694100 : Epoch  3, Batch    589, Loss  0.871773, Average Loss  0.869766, Time  0.273840
2021-09-15 09:09:10.692407 : Epoch  3, Batch    590, Loss  0.874355, Average Loss  0.869774, Time  0.264649
2021-09-15 09:09:13.717124 : Epoch  3, Batch    591, Loss  0.865358, Average Loss  0.869803, Time  0.264398
2021-09-15 09:09:16.735159 : Epoch  3, Batch    592, Loss  0.879520, Average Loss  0.869857, Time  0.263570
2021-09-15 09:09:19.748385 : Epoch  3, Batch    593, Loss  0.878686, Average Loss  0.869898, Time  0.266781
2021-09-15 09:09:22.773770 : Epoch  3, Batch    594, Loss  0.861799, Average Loss  0.869876, Time  0.264469
2021-09-15 09:09:25.775024 : Epoch  3, Batch    595, Loss  0.862836, Average Loss  0.869741, Time  0.264489
2021-09-15 09:09:28.795238 : Epoch  3, Batch    596, Loss  0.874247, Average Loss  0.869806, Time  0.264561
2021-09-15 09:09:31.794667 : Epoch  3, Batch    597, Loss  0.859039, Average Loss  0.869790, Time  0.264695
2021-09-15 09:09:34.822538 : Epoch  3, Batch    598, Loss  0.873340, Average Loss  0.869825, Time  0.267254
2021-09-15 09:09:37.864084 : Epoch  3, Batch    599, Loss  0.859789, Average Loss  0.869735, Time  0.265294
2021-09-15 09:09:40.895817 : Epoch  3, Batch    600, Loss  0.884063, Average Loss  0.869839, Time  0.265296
2021-09-15 09:09:43.892251 : Epoch  3, Batch    601, Loss  0.901351, Average Loss  0.870101, Time  0.265963
2021-09-15 09:09:46.902179 : Epoch  3, Batch    602, Loss  0.886953, Average Loss  0.870300, Time  0.277185
2021-09-15 09:09:49.925828 : Epoch  3, Batch    603, Loss  0.889438, Average Loss  0.870348, Time  0.265441
2021-09-15 09:09:52.934829 : Epoch  3, Batch    604, Loss  0.893668, Average Loss  0.870440, Time  0.263716
2021-09-15 09:09:55.956848 : Epoch  3, Batch    605, Loss  0.869970, Average Loss  0.870426, Time  0.265177
2021-09-15 09:09:58.994440 : Epoch  3, Batch    606, Loss  0.901938, Average Loss  0.870640, Time  0.265413
2021-09-15 09:10:02.026593 : Epoch  3, Batch    607, Loss  0.859426, Average Loss  0.870517, Time  0.264656
2021-09-15 09:10:05.030291 : Epoch  3, Batch    608, Loss  0.851649, Average Loss  0.870368, Time  0.264873
2021-09-15 09:10:08.034136 : Epoch  3, Batch    609, Loss  0.876452, Average Loss  0.870494, Time  0.265983
2021-09-15 09:10:11.074786 : Epoch  3, Batch    610, Loss  0.866470, Average Loss  0.870506, Time  0.265573
2021-09-15 09:10:14.085796 : Epoch  3, Batch    611, Loss  0.878543, Average Loss  0.870405, Time  0.265281
2021-09-15 09:10:17.130162 : Epoch  3, Batch    612, Loss  0.874618, Average Loss  0.870523, Time  0.264856
2021-09-15 09:10:20.158694 : Epoch  3, Batch    613, Loss  0.861063, Average Loss  0.870582, Time  0.264837
2021-09-15 09:10:23.142769 : Epoch  3, Batch    614, Loss  0.875693, Average Loss  0.870600, Time  0.265379
2021-09-15 09:10:26.171387 : Epoch  3, Batch    615, Loss  0.840304, Average Loss  0.870435, Time  0.264600
2021-09-15 09:10:29.233405 : Epoch  3, Batch    616, Loss  0.849668, Average Loss  0.870443, Time  0.265483
2021-09-15 09:10:32.211677 : Epoch  3, Batch    617, Loss  0.868701, Average Loss  0.870430, Time  0.275645
2021-09-15 09:10:35.209341 : Epoch  3, Batch    618, Loss  0.849963, Average Loss  0.870412, Time  0.266266
2021-09-15 09:10:38.204466 : Epoch  3, Batch    619, Loss  0.894335, Average Loss  0.870498, Time  0.264392
2021-09-15 09:10:41.232274 : Epoch  3, Batch    620, Loss  0.854621, Average Loss  0.870429, Time  0.264135
2021-09-15 09:10:44.218233 : Epoch  3, Batch    621, Loss  0.869294, Average Loss  0.870464, Time  0.265058
2021-09-15 09:10:47.226577 : Epoch  3, Batch    622, Loss  0.875091, Average Loss  0.870458, Time  0.265982
2021-09-15 09:10:50.249356 : Epoch  3, Batch    623, Loss  0.896127, Average Loss  0.870548, Time  0.266026
2021-09-15 09:10:53.270622 : Epoch  3, Batch    624, Loss  0.864152, Average Loss  0.870613, Time  0.264575
2021-09-15 09:10:56.262064 : Epoch  3, Batch    625, Loss  0.893404, Average Loss  0.870737, Time  0.265646
2021-09-15 09:10:59.262914 : Epoch  3, Batch    626, Loss  0.855420, Average Loss  0.870704, Time  0.263813
2021-09-15 09:11:02.279781 : Epoch  3, Batch    627, Loss  0.877996, Average Loss  0.870681, Time  0.265127
2021-09-15 09:11:05.282296 : Epoch  3, Batch    628, Loss  0.879616, Average Loss  0.870624, Time  0.265251
2021-09-15 09:11:08.285772 : Epoch  3, Batch    629, Loss  0.873117, Average Loss  0.870715, Time  0.264482
2021-09-15 09:11:11.311979 : Epoch  3, Batch    630, Loss  0.876620, Average Loss  0.870664, Time  0.265590
2021-09-15 09:11:14.314941 : Epoch  3, Batch    631, Loss  0.855666, Average Loss  0.870724, Time  0.264812
2021-09-15 09:11:17.327761 : Epoch  3, Batch    632, Loss  0.871262, Average Loss  0.870723, Time  0.274935
2021-09-15 09:11:20.332072 : Epoch  3, Batch    633, Loss  0.863071, Average Loss  0.870713, Time  0.264419
2021-09-15 09:11:23.320850 : Epoch  3, Batch    634, Loss  0.864130, Average Loss  0.870708, Time  0.264922
2021-09-15 09:11:26.320698 : Epoch  3, Batch    635, Loss  0.854327, Average Loss  0.870651, Time  0.264389
2021-09-15 09:11:29.325592 : Epoch  3, Batch    636, Loss  0.857766, Average Loss  0.870576, Time  0.265692
2021-09-15 09:11:32.319993 : Epoch  3, Batch    637, Loss  0.881184, Average Loss  0.870692, Time  0.265441
2021-09-15 09:11:35.317318 : Epoch  3, Batch    638, Loss  0.865420, Average Loss  0.870693, Time  0.265558
2021-09-15 09:11:38.316458 : Epoch  3, Batch    639, Loss  0.853210, Average Loss  0.870565, Time  0.265083
2021-09-15 09:11:41.328701 : Epoch  3, Batch    640, Loss  0.873183, Average Loss  0.870467, Time  0.264996
2021-09-15 09:11:44.337140 : Epoch  3, Batch    641, Loss  0.877612, Average Loss  0.870488, Time  0.266311
2021-09-15 09:11:47.354921 : Epoch  3, Batch    642, Loss  0.869059, Average Loss  0.870503, Time  0.265283
2021-09-15 09:11:50.387109 : Epoch  3, Batch    643, Loss  0.881971, Average Loss  0.870648, Time  0.265821
2021-09-15 09:11:53.384948 : Epoch  3, Batch    644, Loss  0.871748, Average Loss  0.870753, Time  0.264352
2021-09-15 09:11:56.379066 : Epoch  3, Batch    645, Loss  0.852281, Average Loss  0.870563, Time  0.265089
2021-09-15 09:11:59.373658 : Epoch  3, Batch    646, Loss  0.885288, Average Loss  0.870727, Time  0.264505
2021-09-15 09:12:02.398509 : Epoch  3, Batch    647, Loss  0.873671, Average Loss  0.870830, Time  0.277132
2021-09-15 09:12:05.417068 : Epoch  3, Batch    648, Loss  0.868135, Average Loss  0.870908, Time  0.266331
2021-09-15 09:12:08.423518 : Epoch  3, Batch    649, Loss  0.881442, Average Loss  0.870962, Time  0.264806
2021-09-15 09:12:11.421729 : Epoch  3, Batch    650, Loss  0.897562, Average Loss  0.871105, Time  0.264429
2021-09-15 09:12:14.411689 : Epoch  3, Batch    651, Loss  0.874544, Average Loss  0.871107, Time  0.264072
2021-09-15 09:12:17.408974 : Epoch  3, Batch    652, Loss  0.864743, Average Loss  0.871131, Time  0.265431
2021-09-15 09:12:20.403261 : Epoch  3, Batch    653, Loss  0.866592, Average Loss  0.871123, Time  0.265180
2021-09-15 09:12:23.420528 : Epoch  3, Batch    654, Loss  0.894838, Average Loss  0.871248, Time  0.265245
2021-09-15 09:12:26.415372 : Epoch  3, Batch    655, Loss  0.856504, Average Loss  0.871144, Time  0.264192
2021-09-15 09:12:29.438180 : Epoch  3, Batch    656, Loss  0.868663, Average Loss  0.871121, Time  0.265602
2021-09-15 09:12:32.434794 : Epoch  3, Batch    657, Loss  0.856752, Average Loss  0.871065, Time  0.264982
2021-09-15 09:12:35.426490 : Epoch  3, Batch    658, Loss  0.886481, Average Loss  0.871041, Time  0.266289
2021-09-15 09:12:38.419088 : Epoch  3, Batch    659, Loss  0.869620, Average Loss  0.871089, Time  0.264019
2021-09-15 09:12:41.428961 : Epoch  3, Batch    660, Loss  0.869722, Average Loss  0.871048, Time  0.265697
2021-09-15 09:12:44.431446 : Epoch  3, Batch    661, Loss  0.864151, Average Loss  0.870973, Time  0.265234
2021-09-15 09:12:47.440049 : Epoch  3, Batch    662, Loss  0.853057, Average Loss  0.870939, Time  0.272618
2021-09-15 09:12:50.438591 : Epoch  3, Batch    663, Loss  0.883172, Average Loss  0.870985, Time  0.266367
2021-09-15 09:12:53.482764 : Epoch  3, Batch    664, Loss  0.877495, Average Loss  0.870961, Time  0.266064
2021-09-15 09:12:56.503731 : Epoch  3, Batch    665, Loss  0.863457, Average Loss  0.870895, Time  0.266490
2021-09-15 09:12:59.501321 : Epoch  3, Batch    666, Loss  0.892225, Average Loss  0.871002, Time  0.264781
2021-09-15 09:13:02.509272 : Epoch  3, Batch    667, Loss  0.885178, Average Loss  0.871086, Time  0.265898
2021-09-15 09:13:05.536337 : Epoch  3, Batch    668, Loss  0.888694, Average Loss  0.871149, Time  0.265070
2021-09-15 09:13:08.540139 : Epoch  3, Batch    669, Loss  0.878496, Average Loss  0.871272, Time  0.264516
2021-09-15 09:13:11.540214 : Epoch  3, Batch    670, Loss  0.860841, Average Loss  0.871309, Time  0.264262
2021-09-15 09:13:14.533155 : Epoch  3, Batch    671, Loss  0.863200, Average Loss  0.871174, Time  0.264861
2021-09-15 09:13:17.517220 : Epoch  3, Batch    672, Loss  0.853031, Average Loss  0.870984, Time  0.264535
2021-09-15 09:13:20.510106 : Epoch  3, Batch    673, Loss  0.880920, Average Loss  0.871084, Time  0.265475
2021-09-15 09:13:23.522443 : Epoch  3, Batch    674, Loss  0.851336, Average Loss  0.870945, Time  0.264471
2021-09-15 09:13:26.516528 : Epoch  3, Batch    675, Loss  0.870161, Average Loss  0.870862, Time  0.264550
2021-09-15 09:13:29.516800 : Epoch  3, Batch    676, Loss  0.841553, Average Loss  0.870751, Time  0.265071
2021-09-15 09:13:32.518709 : Epoch  3, Batch    677, Loss  0.859141, Average Loss  0.870770, Time  0.274262
2021-09-15 09:13:35.521944 : Epoch  3, Batch    678, Loss  0.852828, Average Loss  0.870767, Time  0.266366
2021-09-15 09:13:38.515419 : Epoch  3, Batch    679, Loss  0.880408, Average Loss  0.870658, Time  0.264939
2021-09-15 09:13:41.526693 : Epoch  3, Batch    680, Loss  0.862754, Average Loss  0.870587, Time  0.265738
2021-09-15 09:13:44.554942 : Epoch  3, Batch    681, Loss  0.882086, Average Loss  0.870545, Time  0.266052
2021-09-15 09:13:47.555121 : Epoch  3, Batch    682, Loss  0.873552, Average Loss  0.870547, Time  0.265795
2021-09-15 09:13:50.583906 : Epoch  3, Batch    683, Loss  0.880315, Average Loss  0.870628, Time  0.264593
2021-09-15 09:13:53.606601 : Epoch  3, Batch    684, Loss  0.865240, Average Loss  0.870581, Time  0.266135
2021-09-15 09:13:56.612835 : Epoch  3, Batch    685, Loss  0.868719, Average Loss  0.870613, Time  0.265177
2021-09-15 09:13:59.640474 : Epoch  3, Batch    686, Loss  0.885013, Average Loss  0.870603, Time  0.264689
2021-09-15 09:14:02.665749 : Epoch  3, Batch    687, Loss  0.857145, Average Loss  0.870497, Time  0.265260
2021-09-15 09:14:05.650107 : Epoch  3, Batch    688, Loss  0.897935, Average Loss  0.870739, Time  0.264473
2021-09-15 09:18:45.249434 : CheckPoint: Validation Loss  0.00029236, Best Loss  0.00029236
2021-09-15 09:18:45.276124 : Best Model Updated
2021-09-15 09:18:49.100690 : Epoch  3, Batch    689, Loss  0.866400, Average Loss  0.870778, Time  0.266472
2021-09-15 09:18:52.117613 : Epoch  3, Batch    690, Loss  0.850069, Average Loss  0.870691, Time  0.264485
2021-09-15 09:18:55.145305 : Epoch  3, Batch    691, Loss  0.869108, Average Loss  0.870672, Time  0.278812
2021-09-15 09:18:58.185759 : Epoch  3, Batch    692, Loss  0.847801, Average Loss  0.870559, Time  0.265654
2021-09-15 09:19:01.200279 : Epoch  3, Batch    693, Loss  0.869218, Average Loss  0.870550, Time  0.264371
2021-09-15 09:19:04.217404 : Epoch  3, Batch    694, Loss  0.885130, Average Loss  0.870654, Time  0.264512
2021-09-15 09:19:07.233326 : Epoch  3, Batch    695, Loss  0.853799, Average Loss  0.870544, Time  0.264909
2021-09-15 09:19:10.259802 : Epoch  3, Batch    696, Loss  0.877046, Average Loss  0.870532, Time  0.265285
2021-09-15 09:19:13.294314 : Epoch  3, Batch    697, Loss  0.869493, Average Loss  0.870502, Time  0.264373
2021-09-15 09:19:16.312113 : Epoch  3, Batch    698, Loss  0.879575, Average Loss  0.870640, Time  0.265387
2021-09-15 09:19:19.357310 : Epoch  3, Batch    699, Loss  0.862329, Average Loss  0.870556, Time  0.265722
2021-09-15 09:19:22.377236 : Epoch  3, Batch    700, Loss  0.877806, Average Loss  0.870629, Time  0.266156
2021-09-15 09:19:25.395526 : Epoch  3, Batch    701, Loss  0.864305, Average Loss  0.870526, Time  0.263737
2021-09-15 09:19:28.416130 : Epoch  3, Batch    702, Loss  0.861635, Average Loss  0.870554, Time  0.264348
2021-09-15 09:19:31.448371 : Epoch  3, Batch    703, Loss  0.862109, Average Loss  0.870643, Time  0.264691
2021-09-15 09:19:34.484440 : Epoch  3, Batch    704, Loss  0.864786, Average Loss  0.870784, Time  0.265772
2021-09-15 09:19:37.522163 : Epoch  3, Batch    705, Loss  0.884353, Average Loss  0.870885, Time  0.265773
2021-09-15 09:19:40.566799 : Epoch  3, Batch    706, Loss  0.857637, Average Loss  0.870690, Time  0.272834
2021-09-15 09:19:43.609492 : Epoch  3, Batch    707, Loss  0.884403, Average Loss  0.870759, Time  0.264719
2021-09-15 09:19:46.638992 : Epoch  3, Batch    708, Loss  0.897541, Average Loss  0.870917, Time  0.265139
2021-09-15 09:19:49.654100 : Epoch  3, Batch    709, Loss  0.867005, Average Loss  0.870859, Time  0.264330
2021-09-15 09:19:52.669407 : Epoch  3, Batch    710, Loss  0.875886, Average Loss  0.870870, Time  0.263999
2021-09-15 09:19:55.704960 : Epoch  3, Batch    711, Loss  0.858895, Average Loss  0.870780, Time  0.266055
2021-09-15 09:19:58.724407 : Epoch  3, Batch    712, Loss  0.844271, Average Loss  0.870538, Time  0.265038
2021-09-15 09:20:01.730566 : Epoch  3, Batch    713, Loss  0.884574, Average Loss  0.870642, Time  0.264845
2021-09-15 09:20:04.735971 : Epoch  3, Batch    714, Loss  0.864230, Average Loss  0.870675, Time  0.265107
2021-09-15 09:20:07.758890 : Epoch  3, Batch    715, Loss  0.857576, Average Loss  0.870641, Time  0.264681
2021-09-15 09:20:10.781817 : Epoch  3, Batch    716, Loss  0.879872, Average Loss  0.870763, Time  0.265934
2021-09-15 09:20:13.839226 : Epoch  3, Batch    717, Loss  0.896457, Average Loss  0.870906, Time  0.264889
2021-09-15 09:20:16.859358 : Epoch  3, Batch    718, Loss  0.880255, Average Loss  0.870889, Time  0.265002
2021-09-15 09:20:19.877115 : Epoch  3, Batch    719, Loss  0.884469, Average Loss  0.870875, Time  0.266029
2021-09-15 09:20:22.929645 : Epoch  3, Batch    720, Loss  0.881922, Average Loss  0.871021, Time  0.265318
2021-09-15 09:20:25.957447 : Epoch  3, Batch    721, Loss  0.845737, Average Loss  0.870914, Time  0.276936
2021-09-15 09:20:28.966962 : Epoch  3, Batch    722, Loss  0.857683, Average Loss  0.870772, Time  0.264830
2021-09-15 09:20:31.985417 : Epoch  3, Batch    723, Loss  0.881063, Average Loss  0.870728, Time  0.265077
2021-09-15 09:20:35.015965 : Epoch  3, Batch    724, Loss  0.862129, Average Loss  0.870630, Time  0.265726
2021-09-15 09:20:38.031812 : Epoch  3, Batch    725, Loss  0.873193, Average Loss  0.870704, Time  0.264591
2021-09-15 09:20:41.068005 : Epoch  3, Batch    726, Loss  0.870436, Average Loss  0.870705, Time  0.265013
2021-09-15 09:20:44.102636 : Epoch  3, Batch    727, Loss  0.865438, Average Loss  0.870644, Time  0.264148
2021-09-15 09:20:47.080073 : Epoch  3, Batch    728, Loss  0.876592, Average Loss  0.870629, Time  0.265240
2021-09-15 09:20:50.096871 : Epoch  3, Batch    729, Loss  0.854871, Average Loss  0.870599, Time  0.265351
2021-09-15 09:20:53.139718 : Epoch  3, Batch    730, Loss  0.861793, Average Loss  0.870629, Time  0.263459
2021-09-15 09:20:56.131484 : Epoch  3, Batch    731, Loss  0.884535, Average Loss  0.870772, Time  0.264497
2021-09-15 09:20:59.174700 : Epoch  3, Batch    732, Loss  0.849666, Average Loss  0.870628, Time  0.264735
2021-09-15 09:21:02.205270 : Epoch  3, Batch    733, Loss  0.876530, Average Loss  0.870604, Time  0.263759
2021-09-15 09:21:05.230163 : Epoch  3, Batch    734, Loss  0.885350, Average Loss  0.870617, Time  0.264559
2021-09-15 09:21:08.236775 : Epoch  3, Batch    735, Loss  0.879103, Average Loss  0.870575, Time  0.265489
2021-09-15 09:21:11.264317 : Epoch  3, Batch    736, Loss  0.872666, Average Loss  0.870547, Time  0.275560
2021-09-15 09:21:14.278813 : Epoch  3, Batch    737, Loss  0.857155, Average Loss  0.870461, Time  0.265186
2021-09-15 09:21:17.308695 : Epoch  3, Batch    738, Loss  0.869876, Average Loss  0.870469, Time  0.266743
2021-09-15 09:21:20.330968 : Epoch  3, Batch    739, Loss  0.888021, Average Loss  0.870530, Time  0.264929
2021-09-15 09:21:23.368638 : Epoch  3, Batch    740, Loss  0.870508, Average Loss  0.870490, Time  0.265492
2021-09-15 09:21:26.387031 : Epoch  3, Batch    741, Loss  0.863143, Average Loss  0.870484, Time  0.265055
2021-09-15 09:21:29.406838 : Epoch  3, Batch    742, Loss  0.883736, Average Loss  0.870484, Time  0.264774
2021-09-15 09:21:32.427452 : Epoch  3, Batch    743, Loss  0.870026, Average Loss  0.870478, Time  0.263960
2021-09-15 09:21:35.467889 : Epoch  3, Batch    744, Loss  0.863542, Average Loss  0.870488, Time  0.265566
2021-09-15 09:21:38.496144 : Epoch  3, Batch    745, Loss  0.879492, Average Loss  0.870482, Time  0.265672
2021-09-15 09:21:41.549006 : Epoch  3, Batch    746, Loss  0.870577, Average Loss  0.870509, Time  0.265042
2021-09-15 09:21:44.570539 : Epoch  3, Batch    747, Loss  0.880515, Average Loss  0.870583, Time  0.264480
2021-09-15 09:21:47.621153 : Epoch  3, Batch    748, Loss  0.854896, Average Loss  0.870499, Time  0.265527
2021-09-15 09:21:50.666483 : Epoch  3, Batch    749, Loss  0.862888, Average Loss  0.870440, Time  0.264449
2021-09-15 09:21:53.693625 : Epoch  3, Batch    750, Loss  0.874776, Average Loss  0.870461, Time  0.264765
2021-09-15 09:21:56.715667 : Epoch  3, Batch    751, Loss  0.872876, Average Loss  0.870422, Time  0.276430
2021-09-15 09:21:59.723647 : Epoch  3, Batch    752, Loss  0.884395, Average Loss  0.870507, Time  0.265575
2021-09-15 09:22:02.735807 : Epoch  3, Batch    753, Loss  0.871702, Average Loss  0.870494, Time  0.265795
2021-09-15 09:22:05.796643 : Epoch  3, Batch    754, Loss  0.870083, Average Loss  0.870455, Time  0.264857
2021-09-15 09:22:08.841955 : Epoch  3, Batch    755, Loss  0.882765, Average Loss  0.870492, Time  0.265327
2021-09-15 09:22:11.860430 : Epoch  3, Batch    756, Loss  0.864508, Average Loss  0.870436, Time  0.265159
2021-09-15 09:22:14.881923 : Epoch  3, Batch    757, Loss  0.876700, Average Loss  0.870497, Time  0.265382
2021-09-15 09:22:17.902442 : Epoch  3, Batch    758, Loss  0.874123, Average Loss  0.870510, Time  0.267001
2021-09-15 09:22:20.914616 : Epoch  3, Batch    759, Loss  0.873796, Average Loss  0.870382, Time  0.265450
2021-09-15 09:22:23.933764 : Epoch  3, Batch    760, Loss  0.845553, Average Loss  0.870272, Time  0.265280
2021-09-15 09:22:26.937002 : Epoch  3, Batch    761, Loss  0.892034, Average Loss  0.870385, Time  0.265578
2021-09-15 09:22:29.949510 : Epoch  3, Batch    762, Loss  0.871164, Average Loss  0.870424, Time  0.264601
2021-09-15 09:22:32.969512 : Epoch  3, Batch    763, Loss  0.878082, Average Loss  0.870560, Time  0.264649
2021-09-15 09:22:36.000151 : Epoch  3, Batch    764, Loss  0.875670, Average Loss  0.870677, Time  0.265593
2021-09-15 09:22:39.022075 : Epoch  3, Batch    765, Loss  0.884658, Average Loss  0.870719, Time  0.265141
2021-09-15 09:22:42.043057 : Epoch  3, Batch    766, Loss  0.864698, Average Loss  0.870702, Time  0.273535
2021-09-15 09:22:45.056492 : Epoch  3, Batch    767, Loss  0.853071, Average Loss  0.870611, Time  0.264684
2021-09-15 09:22:48.076802 : Epoch  3, Batch    768, Loss  0.878780, Average Loss  0.870596, Time  0.265467
2021-09-15 09:22:51.126510 : Epoch  3, Batch    769, Loss  0.866625, Average Loss  0.870489, Time  0.264624
2021-09-15 09:22:54.147403 : Epoch  3, Batch    770, Loss  0.882989, Average Loss  0.870620, Time  0.264770
2021-09-15 09:22:57.162049 : Epoch  3, Batch    771, Loss  0.842157, Average Loss  0.870446, Time  0.265019
2021-09-15 09:23:00.206472 : Epoch  3, Batch    772, Loss  0.851795, Average Loss  0.870327, Time  0.265555
2021-09-15 09:23:03.240916 : Epoch  3, Batch    773, Loss  0.871514, Average Loss  0.870361, Time  0.264637
2021-09-15 09:23:06.266359 : Epoch  3, Batch    774, Loss  0.868348, Average Loss  0.870297, Time  0.266098
2021-09-15 09:23:09.314845 : Epoch  3, Batch    775, Loss  0.895637, Average Loss  0.870469, Time  0.264904
2021-09-15 09:23:12.339053 : Epoch  3, Batch    776, Loss  0.856315, Average Loss  0.870371, Time  0.264801
2021-09-15 09:23:15.367559 : Epoch  3, Batch    777, Loss  0.863966, Average Loss  0.870253, Time  0.264648
2021-09-15 09:23:18.387254 : Epoch  3, Batch    778, Loss  0.885833, Average Loss  0.870516, Time  0.266978
2021-09-15 09:23:21.421802 : Epoch  3, Batch    779, Loss  0.867024, Average Loss  0.870465, Time  0.265221
2021-09-15 09:23:24.462416 : Epoch  3, Batch    780, Loss  0.873317, Average Loss  0.870451, Time  0.266703
2021-09-15 09:23:27.525904 : Epoch  3, Batch    781, Loss  0.879620, Average Loss  0.870576, Time  0.271530
2021-09-15 09:23:30.560387 : Epoch  3, Batch    782, Loss  0.858272, Average Loss  0.870559, Time  0.264665
2021-09-15 09:23:33.580519 : Epoch  3, Batch    783, Loss  0.875670, Average Loss  0.870584, Time  0.267853
2021-09-15 09:23:36.612800 : Epoch  3, Batch    784, Loss  0.875921, Average Loss  0.870738, Time  0.264788
2021-09-15 09:23:39.638465 : Epoch  3, Batch    785, Loss  0.858976, Average Loss  0.870782, Time  0.265146
2021-09-15 09:23:42.676383 : Epoch  3, Batch    786, Loss  0.868692, Average Loss  0.870732, Time  0.265249
2021-09-15 09:23:45.697638 : Epoch  3, Batch    787, Loss  0.878400, Average Loss  0.870840, Time  0.265103
2021-09-15 09:23:48.731521 : Epoch  3, Batch    788, Loss  0.878794, Average Loss  0.870947, Time  0.264582
2021-09-15 09:28:29.544370 : CheckPoint: Validation Loss  0.00030328, Best Loss  0.00029236
2021-09-15 09:28:32.531807 : Epoch  3, Batch    789, Loss  0.868663, Average Loss  0.870932, Time  0.267046
2021-09-15 09:28:35.552403 : Epoch  3, Batch    790, Loss  0.857445, Average Loss  0.870847, Time  0.265797
2021-09-15 09:28:38.586913 : Epoch  3, Batch    791, Loss  0.880120, Average Loss  0.870921, Time  0.265063
2021-09-15 09:28:41.597262 : Epoch  3, Batch    792, Loss  0.864890, Average Loss  0.870848, Time  0.264030
2021-09-15 09:28:44.602824 : Epoch  3, Batch    793, Loss  0.856737, Average Loss  0.870738, Time  0.265604
2021-09-15 09:28:47.649396 : Epoch  3, Batch    794, Loss  0.900597, Average Loss  0.870932, Time  0.276410
2021-09-15 09:28:50.682331 : Epoch  3, Batch    795, Loss  0.860661, Average Loss  0.870921, Time  0.266228
2021-09-15 09:28:53.700081 : Epoch  3, Batch    796, Loss  0.859711, Average Loss  0.870848, Time  0.265332
2021-09-15 09:28:56.705896 : Epoch  3, Batch    797, Loss  0.869810, Average Loss  0.870902, Time  0.264481
2021-09-15 09:28:59.710699 : Epoch  3, Batch    798, Loss  0.877464, Average Loss  0.870923, Time  0.265043
2021-09-15 09:29:02.720948 : Epoch  3, Batch    799, Loss  0.873060, Average Loss  0.870989, Time  0.266454
2021-09-15 09:29:05.735267 : Epoch  3, Batch    800, Loss  0.872871, Average Loss  0.870933, Time  0.266145
2021-09-15 09:29:08.760980 : Epoch  3, Batch    801, Loss  0.884127, Average Loss  0.870847, Time  0.266302
2021-09-15 09:29:11.811803 : Epoch  3, Batch    802, Loss  0.887225, Average Loss  0.870848, Time  0.265665
2021-09-15 09:29:14.818826 : Epoch  3, Batch    803, Loss  0.882581, Average Loss  0.870814, Time  0.265930
2021-09-15 09:29:17.856762 : Epoch  3, Batch    804, Loss  0.881788, Average Loss  0.870755, Time  0.265826
2021-09-15 09:29:20.896036 : Epoch  3, Batch    805, Loss  0.869835, Average Loss  0.870754, Time  0.265653
2021-09-15 09:29:23.860874 : Epoch  3, Batch    806, Loss  0.884017, Average Loss  0.870665, Time  0.265297
2021-09-15 09:29:26.860388 : Epoch  3, Batch    807, Loss  0.866298, Average Loss  0.870699, Time  0.264647
2021-09-15 09:29:29.887211 : Epoch  3, Batch    808, Loss  0.854769, Average Loss  0.870714, Time  0.264492
2021-09-15 09:29:32.922372 : Epoch  3, Batch    809, Loss  0.871950, Average Loss  0.870692, Time  0.277845
2021-09-15 09:29:35.967231 : Epoch  3, Batch    810, Loss  0.851814, Average Loss  0.870619, Time  0.266425
2021-09-15 09:29:39.001354 : Epoch  3, Batch    811, Loss  0.861210, Average Loss  0.870532, Time  0.265902
2021-09-15 09:29:42.036204 : Epoch  3, Batch    812, Loss  0.872411, Average Loss  0.870521, Time  0.264438
2021-09-15 09:29:45.032911 : Epoch  3, Batch    813, Loss  0.870889, Average Loss  0.870570, Time  0.264579
2021-09-15 09:29:48.033723 : Epoch  3, Batch    814, Loss  0.861905, Average Loss  0.870501, Time  0.265538
2021-09-15 09:29:51.036531 : Epoch  3, Batch    815, Loss  0.880369, Average Loss  0.870701, Time  0.264504
2021-09-15 09:29:54.041671 : Epoch  3, Batch    816, Loss  0.861865, Average Loss  0.870762, Time  0.265227
2021-09-15 09:29:57.055944 : Epoch  3, Batch    817, Loss  0.872120, Average Loss  0.870780, Time  0.265571
2021-09-15 09:30:00.084766 : Epoch  3, Batch    818, Loss  0.862631, Average Loss  0.870843, Time  0.264956
2021-09-15 09:30:03.108274 : Epoch  3, Batch    819, Loss  0.866769, Average Loss  0.870705, Time  0.266749
2021-09-15 09:30:06.113843 : Epoch  3, Batch    820, Loss  0.875385, Average Loss  0.870809, Time  0.265971
2021-09-15 09:30:09.145698 : Epoch  3, Batch    821, Loss  0.874402, Average Loss  0.870834, Time  0.265012
2021-09-15 09:30:12.142743 : Epoch  3, Batch    822, Loss  0.869514, Average Loss  0.870807, Time  0.265738
2021-09-15 09:30:15.145332 : Epoch  3, Batch    823, Loss  0.854150, Average Loss  0.870597, Time  0.265193
2021-09-15 09:30:18.139467 : Epoch  3, Batch    824, Loss  0.870726, Average Loss  0.870630, Time  0.273271
2021-09-15 09:30:21.149991 : Epoch  3, Batch    825, Loss  0.866552, Average Loss  0.870495, Time  0.265284
2021-09-15 09:30:24.159606 : Epoch  3, Batch    826, Loss  0.879925, Average Loss  0.870618, Time  0.266775
2021-09-15 09:30:27.165072 : Epoch  3, Batch    827, Loss  0.855047, Average Loss  0.870503, Time  0.265244
2021-09-15 09:30:30.184810 : Epoch  3, Batch    828, Loss  0.875521, Average Loss  0.870483, Time  0.264415
2021-09-15 09:30:33.182888 : Epoch  3, Batch    829, Loss  0.866581, Average Loss  0.870450, Time  0.265284
2021-09-15 09:30:36.186256 : Epoch  3, Batch    830, Loss  0.844401, Average Loss  0.870289, Time  0.265868
2021-09-15 09:30:39.179033 : Epoch  3, Batch    831, Loss  0.855243, Average Loss  0.870287, Time  0.265200
2021-09-15 09:30:42.196813 : Epoch  3, Batch    832, Loss  0.853822, Average Loss  0.870200, Time  0.265695
2021-09-15 09:30:45.228941 : Epoch  3, Batch    833, Loss  0.862431, Average Loss  0.870196, Time  0.265038
2021-09-15 09:30:48.230083 : Epoch  3, Batch    834, Loss  0.880802, Average Loss  0.870280, Time  0.265110
2021-09-15 09:30:51.233733 : Epoch  3, Batch    835, Loss  0.883243, Average Loss  0.870424, Time  0.265520
2021-09-15 09:30:54.240657 : Epoch  3, Batch    836, Loss  0.885899, Average Loss  0.870565, Time  0.262669
2021-09-15 09:30:57.239571 : Epoch  3, Batch    837, Loss  0.861910, Average Loss  0.870469, Time  0.265219
2021-09-15 09:31:00.273832 : Epoch  3, Batch    838, Loss  0.882223, Average Loss  0.870553, Time  0.266595
2021-09-15 09:31:03.338532 : Epoch  3, Batch    839, Loss  0.880948, Average Loss  0.870691, Time  0.279212
2021-09-15 09:31:06.382737 : Epoch  3, Batch    840, Loss  0.879066, Average Loss  0.870721, Time  0.265974
2021-09-15 09:31:09.414907 : Epoch  3, Batch    841, Loss  0.878314, Average Loss  0.870724, Time  0.266402
2021-09-15 09:31:12.464652 : Epoch  3, Batch    842, Loss  0.867167, Average Loss  0.870715, Time  0.265145
2021-09-15 09:31:15.495804 : Epoch  3, Batch    843, Loss  0.872058, Average Loss  0.870665, Time  0.265215
2021-09-15 09:31:18.536869 : Epoch  3, Batch    844, Loss  0.862740, Average Loss  0.870620, Time  0.265599
2021-09-15 09:31:21.580991 : Epoch  3, Batch    845, Loss  0.864347, Average Loss  0.870680, Time  0.265736
2021-09-15 09:31:24.643820 : Epoch  3, Batch    846, Loss  0.859401, Average Loss  0.870551, Time  0.265407
2021-09-15 09:31:27.699322 : Epoch  3, Batch    847, Loss  0.879512, Average Loss  0.870580, Time  0.265325
2021-09-15 09:31:30.735771 : Epoch  3, Batch    848, Loss  0.860721, Average Loss  0.870543, Time  0.266741
2021-09-15 09:31:33.773079 : Epoch  3, Batch    849, Loss  0.865911, Average Loss  0.870465, Time  0.265332
2021-09-15 09:31:36.812857 : Epoch  3, Batch    850, Loss  0.879125, Average Loss  0.870373, Time  0.266164
2021-09-15 09:31:39.840630 : Epoch  3, Batch    851, Loss  0.871238, Average Loss  0.870357, Time  0.264978
2021-09-15 09:31:42.857506 : Epoch  3, Batch    852, Loss  0.885381, Average Loss  0.870460, Time  0.264334
2021-09-15 09:31:45.854846 : Epoch  3, Batch    853, Loss  0.864438, Average Loss  0.870449, Time  0.264645
2021-09-15 09:31:48.903194 : Epoch  3, Batch    854, Loss  0.867278, Average Loss  0.870311, Time  0.274849
2021-09-15 09:31:51.929499 : Epoch  3, Batch    855, Loss  0.867691, Average Loss  0.870367, Time  0.265890
2021-09-15 09:31:54.956273 : Epoch  3, Batch    856, Loss  0.852032, Average Loss  0.870284, Time  0.266749
2021-09-15 09:31:57.968696 : Epoch  3, Batch    857, Loss  0.850008, Average Loss  0.870250, Time  0.265579
2021-09-15 09:32:01.033082 : Epoch  3, Batch    858, Loss  0.860557, Average Loss  0.870121, Time  0.268388
2021-09-15 09:32:04.071433 : Epoch  3, Batch    859, Loss  0.863166, Average Loss  0.870089, Time  0.266102
2021-09-15 09:32:07.099952 : Epoch  3, Batch    860, Loss  0.879684, Average Loss  0.870138, Time  0.265356
2021-09-15 09:32:10.127118 : Epoch  3, Batch    861, Loss  0.871621, Average Loss  0.870176, Time  0.265519
2021-09-15 09:32:13.185719 : Epoch  3, Batch    862, Loss  0.870537, Average Loss  0.870263, Time  0.264292
2021-09-15 09:32:16.176458 : Epoch  3, Batch    863, Loss  0.883294, Average Loss  0.870264, Time  0.265888
2021-09-15 09:32:19.226431 : Epoch  3, Batch    864, Loss  0.862382, Average Loss  0.870188, Time  0.265627
2021-09-15 09:32:22.289306 : Epoch  3, Batch    865, Loss  0.879540, Average Loss  0.870269, Time  0.264628
2021-09-15 09:32:25.309085 : Epoch  3, Batch    866, Loss  0.872532, Average Loss  0.870170, Time  0.264930
2021-09-15 09:32:28.316395 : Epoch  3, Batch    867, Loss  0.877790, Average Loss  0.870133, Time  0.265014
2021-09-15 09:32:31.322477 : Epoch  3, Batch    868, Loss  0.883557, Average Loss  0.870107, Time  0.264552
2021-09-15 09:32:34.336831 : Epoch  3, Batch    869, Loss  0.839599, Average Loss  0.869913, Time  0.275125
2021-09-15 09:32:37.362572 : Epoch  3, Batch    870, Loss  0.885385, Average Loss  0.870036, Time  0.265743
2021-09-15 09:32:40.371991 : Epoch  3, Batch    871, Loss  0.854783, Average Loss  0.869994, Time  0.265203
2021-09-15 09:32:43.391751 : Epoch  3, Batch    872, Loss  0.896376, Average Loss  0.870210, Time  0.264765
2021-09-15 09:32:46.391350 : Epoch  3, Batch    873, Loss  0.854623, Average Loss  0.870079, Time  0.263929
2021-09-15 09:32:49.401496 : Epoch  3, Batch    874, Loss  0.881475, Average Loss  0.870230, Time  0.265352
2021-09-15 09:32:52.422079 : Epoch  3, Batch    875, Loss  0.866181, Average Loss  0.870210, Time  0.264720
2021-09-15 09:32:55.437494 : Epoch  3, Batch    876, Loss  0.871021, Average Loss  0.870357, Time  0.265343
2021-09-15 09:32:58.455674 : Epoch  3, Batch    877, Loss  0.855633, Average Loss  0.870339, Time  0.264532
2021-09-15 09:33:01.479433 : Epoch  3, Batch    878, Loss  0.863740, Average Loss  0.870394, Time  0.266626
2021-09-15 09:33:04.504090 : Epoch  3, Batch    879, Loss  0.873936, Average Loss  0.870362, Time  0.264900
2021-09-15 09:33:07.541351 : Epoch  3, Batch    880, Loss  0.880701, Average Loss  0.870451, Time  0.265944
2021-09-15 09:33:10.553114 : Epoch  3, Batch    881, Loss  0.840205, Average Loss  0.870242, Time  0.264982
2021-09-15 09:33:13.563548 : Epoch  3, Batch    882, Loss  0.861688, Average Loss  0.870183, Time  0.265432
2021-09-15 09:33:16.567305 : Epoch  3, Batch    883, Loss  0.891709, Average Loss  0.870240, Time  0.265885
2021-09-15 09:33:19.610201 : Epoch  3, Batch    884, Loss  0.853375, Average Loss  0.870180, Time  0.275049
2021-09-15 09:33:22.619523 : Epoch  3, Batch    885, Loss  0.884607, Average Loss  0.870260, Time  0.265112
2021-09-15 09:33:25.653853 : Epoch  3, Batch    886, Loss  0.874227, Average Loss  0.870206, Time  0.266242
2021-09-15 09:33:28.707238 : Epoch  3, Batch    887, Loss  0.882299, Average Loss  0.870332, Time  0.266819
2021-09-15 09:33:31.757329 : Epoch  3, Batch    888, Loss  0.874262, Average Loss  0.870213, Time  0.265440
2021-09-15 09:38:11.537052 : CheckPoint: Validation Loss  0.00030825, Best Loss  0.00029236
2021-09-15 09:38:14.575057 : Epoch  3, Batch    889, Loss  0.854807, Average Loss  0.870155, Time  0.267160
2021-09-15 09:38:17.574634 : Epoch  3, Batch    890, Loss  0.876678, Average Loss  0.870288, Time  0.265327
2021-09-15 09:38:20.606720 : Epoch  3, Batch    891, Loss  0.873029, Average Loss  0.870308, Time  0.265950
2021-09-15 09:38:23.616557 : Epoch  3, Batch    892, Loss  0.885300, Average Loss  0.870495, Time  0.265122
2021-09-15 09:38:26.661432 : Epoch  3, Batch    893, Loss  0.869174, Average Loss  0.870495, Time  0.265123
2021-09-15 09:38:29.669780 : Epoch  3, Batch    894, Loss  0.878829, Average Loss  0.870464, Time  0.264898
2021-09-15 09:38:32.667259 : Epoch  3, Batch    895, Loss  0.862275, Average Loss  0.870506, Time  0.265059
2021-09-15 09:38:35.710574 : Epoch  3, Batch    896, Loss  0.881261, Average Loss  0.870527, Time  0.264825
2021-09-15 09:38:38.716201 : Epoch  3, Batch    897, Loss  0.874381, Average Loss  0.870552, Time  0.265843
2021-09-15 09:38:41.749887 : Epoch  3, Batch    898, Loss  0.869634, Average Loss  0.870502, Time  0.266866
2021-09-15 09:38:44.781506 : Epoch  3, Batch    899, Loss  0.844115, Average Loss  0.870411, Time  0.277219
2021-09-15 09:38:47.781108 : Epoch  3, Batch    900, Loss  0.882497, Average Loss  0.870434, Time  0.264515
2021-09-15 09:38:50.793354 : Epoch  3, Batch    901, Loss  0.871195, Average Loss  0.870469, Time  0.265051
2021-09-15 09:38:53.785144 : Epoch  3, Batch    902, Loss  0.871997, Average Loss  0.870521, Time  0.264958
2021-09-15 09:38:56.790907 : Epoch  3, Batch    903, Loss  0.861727, Average Loss  0.870519, Time  0.264791
2021-09-15 09:38:59.816868 : Epoch  3, Batch    904, Loss  0.870744, Average Loss  0.870548, Time  0.266006
2021-09-15 09:39:02.803483 : Epoch  3, Batch    905, Loss  0.867727, Average Loss  0.870465, Time  0.264867
2021-09-15 09:39:05.795367 : Epoch  3, Batch    906, Loss  0.872598, Average Loss  0.870540, Time  0.264277
2021-09-15 09:39:08.785473 : Epoch  3, Batch    907, Loss  0.879983, Average Loss  0.870518, Time  0.264478
2021-09-15 09:39:11.811042 : Epoch  3, Batch    908, Loss  0.866539, Average Loss  0.870363, Time  0.265728
2021-09-15 09:39:14.816899 : Epoch  3, Batch    909, Loss  0.875015, Average Loss  0.870403, Time  0.264819
2021-09-15 09:39:17.812721 : Epoch  3, Batch    910, Loss  0.870609, Average Loss  0.870377, Time  0.264820
2021-09-15 09:39:20.806192 : Epoch  3, Batch    911, Loss  0.862548, Average Loss  0.870395, Time  0.266558
2021-09-15 09:39:23.821754 : Epoch  3, Batch    912, Loss  0.876585, Average Loss  0.870556, Time  0.265522
2021-09-15 09:39:26.834407 : Epoch  3, Batch    913, Loss  0.866859, Average Loss  0.870468, Time  0.264936
2021-09-15 09:39:29.878416 : Epoch  3, Batch    914, Loss  0.876413, Average Loss  0.870529, Time  0.277642
2021-09-15 09:39:32.885836 : Epoch  3, Batch    915, Loss  0.881920, Average Loss  0.870651, Time  0.265170
2021-09-15 09:39:35.891592 : Epoch  3, Batch    916, Loss  0.880048, Average Loss  0.870651, Time  0.264674
2021-09-15 09:39:38.898360 : Epoch  3, Batch    917, Loss  0.870609, Average Loss  0.870522, Time  0.265310
2021-09-15 09:39:41.902348 : Epoch  3, Batch    918, Loss  0.868644, Average Loss  0.870464, Time  0.265641
2021-09-15 09:39:44.919809 : Epoch  3, Batch    919, Loss  0.873303, Average Loss  0.870408, Time  0.267165
2021-09-15 09:39:47.963162 : Epoch  3, Batch    920, Loss  0.857077, Average Loss  0.870284, Time  0.265828
2021-09-15 09:39:50.969538 : Epoch  3, Batch    921, Loss  0.887058, Average Loss  0.870491, Time  0.265196
2021-09-15 09:39:54.014108 : Epoch  3, Batch    922, Loss  0.858855, Average Loss  0.870497, Time  0.265535
2021-09-15 09:39:57.032651 : Epoch  3, Batch    923, Loss  0.857862, Average Loss  0.870381, Time  0.264814
2021-09-15 09:40:00.039312 : Epoch  3, Batch    924, Loss  0.868034, Average Loss  0.870410, Time  0.264945
2021-09-15 09:40:03.050683 : Epoch  3, Batch    925, Loss  0.872257, Average Loss  0.870405, Time  0.265432
2021-09-15 09:40:06.073050 : Epoch  3, Batch    926, Loss  0.868582, Average Loss  0.870396, Time  0.265508
2021-09-15 09:40:09.100390 : Epoch  3, Batch    927, Loss  0.892583, Average Loss  0.870532, Time  0.264447
2021-09-15 09:40:12.130109 : Epoch  3, Batch    928, Loss  0.880699, Average Loss  0.870552, Time  0.264862
2021-09-15 09:40:15.141292 : Epoch  3, Batch    929, Loss  0.881170, Average Loss  0.870684, Time  0.272597
2021-09-15 09:40:18.160113 : Epoch  3, Batch    930, Loss  0.853620, Average Loss  0.870643, Time  0.264244
2021-09-15 09:40:21.183155 : Epoch  3, Batch    931, Loss  0.849318, Average Loss  0.870467, Time  0.265361
2021-09-15 09:40:24.193372 : Epoch  3, Batch    932, Loss  0.881018, Average Loss  0.870624, Time  0.265013
2021-09-15 09:40:27.187307 : Epoch  3, Batch    933, Loss  0.867904, Average Loss  0.870581, Time  0.264313
2021-09-15 09:40:30.191595 : Epoch  3, Batch    934, Loss  0.876178, Average Loss  0.870535, Time  0.265373
2021-09-15 09:40:33.241699 : Epoch  3, Batch    935, Loss  0.883109, Average Loss  0.870555, Time  0.264469
2021-09-15 09:40:36.243741 : Epoch  3, Batch    936, Loss  0.890555, Average Loss  0.870644, Time  0.266675
2021-09-15 09:40:39.250940 : Epoch  3, Batch    937, Loss  0.865673, Average Loss  0.870687, Time  0.264930
2021-09-15 09:40:42.305573 : Epoch  3, Batch    938, Loss  0.869318, Average Loss  0.870684, Time  0.265187
2021-09-15 09:40:45.314839 : Epoch  3, Batch    939, Loss  0.889510, Average Loss  0.870691, Time  0.266694
2021-09-15 09:40:48.360909 : Epoch  3, Batch    940, Loss  0.847722, Average Loss  0.870577, Time  0.265607
2021-09-15 09:40:51.390167 : Epoch  3, Batch    941, Loss  0.881493, Average Loss  0.870669, Time  0.266204
2021-09-15 09:40:54.400148 : Epoch  3, Batch    942, Loss  0.876025, Average Loss  0.870631, Time  0.264898
2021-09-15 09:40:57.435090 : Epoch  3, Batch    943, Loss  0.857122, Average Loss  0.870566, Time  0.264923
2021-09-15 09:41:00.491953 : Epoch  3, Batch    944, Loss  0.880817, Average Loss  0.870653, Time  0.277269
2021-09-15 09:41:03.505619 : Epoch  3, Batch    945, Loss  0.866030, Average Loss  0.870585, Time  0.266534
2021-09-15 09:41:06.535943 : Epoch  3, Batch    946, Loss  0.878705, Average Loss  0.870626, Time  0.265301
2021-09-15 09:41:09.562463 : Epoch  3, Batch    947, Loss  0.850966, Average Loss  0.870478, Time  0.265003
2021-09-15 09:41:12.557991 : Epoch  3, Batch    948, Loss  0.867117, Average Loss  0.870539, Time  0.265239
2021-09-15 09:41:15.569516 : Epoch  3, Batch    949, Loss  0.879390, Average Loss  0.870622, Time  0.265554
2021-09-15 09:41:18.587878 : Epoch  3, Batch    950, Loss  0.864227, Average Loss  0.870569, Time  0.264629
2021-09-15 09:41:21.578663 : Epoch  3, Batch    951, Loss  0.859325, Average Loss  0.870501, Time  0.265198
2021-09-15 09:41:24.604302 : Epoch  3, Batch    952, Loss  0.894190, Average Loss  0.870550, Time  0.264858
2021-09-15 09:41:27.632746 : Epoch  3, Batch    953, Loss  0.910873, Average Loss  0.870746, Time  0.264686
2021-09-15 09:41:30.595883 : Epoch  3, Batch    954, Loss  0.862162, Average Loss  0.870706, Time  0.265405
2021-09-15 09:41:33.641879 : Epoch  3, Batch    955, Loss  0.870853, Average Loss  0.870647, Time  0.266077
2021-09-15 09:41:36.682471 : Epoch  3, Batch    956, Loss  0.876440, Average Loss  0.870707, Time  0.265196
2021-09-15 09:41:39.686952 : Epoch  3, Batch    957, Loss  0.871265, Average Loss  0.870679, Time  0.264778
2021-09-15 09:41:42.698062 : Epoch  3, Batch    958, Loss  0.885169, Average Loss  0.870735, Time  0.266456
2021-09-15 09:41:45.712483 : Epoch  3, Batch    959, Loss  0.863187, Average Loss  0.870682, Time  0.271200
2021-09-15 09:41:48.761055 : Epoch  3, Batch    960, Loss  0.861696, Average Loss  0.870762, Time  0.266488
2021-09-15 09:41:51.770283 : Epoch  3, Batch    961, Loss  0.864209, Average Loss  0.870623, Time  0.266310
2021-09-15 09:41:54.783869 : Epoch  3, Batch    962, Loss  0.897123, Average Loss  0.870753, Time  0.265814
2021-09-15 09:41:57.803613 : Epoch  3, Batch    963, Loss  0.864899, Average Loss  0.870687, Time  0.265989
2021-09-15 09:42:00.806467 : Epoch  3, Batch    964, Loss  0.866981, Average Loss  0.870644, Time  0.265907
2021-09-15 09:42:03.812615 : Epoch  3, Batch    965, Loss  0.860928, Average Loss  0.870525, Time  0.265516
2021-09-15 09:42:06.817433 : Epoch  3, Batch    966, Loss  0.868734, Average Loss  0.870545, Time  0.264369
2021-09-15 09:42:09.834830 : Epoch  3, Batch    967, Loss  0.866385, Average Loss  0.870612, Time  0.264877
2021-09-15 09:42:12.841187 : Epoch  3, Batch    968, Loss  0.877803, Average Loss  0.870607, Time  0.264756
2021-09-15 09:42:15.862776 : Epoch  3, Batch    969, Loss  0.880226, Average Loss  0.870675, Time  0.264701
2021-09-15 09:42:18.862537 : Epoch  3, Batch    970, Loss  0.857070, Average Loss  0.870545, Time  0.264467
2021-09-15 09:42:21.866335 : Epoch  3, Batch    971, Loss  0.893351, Average Loss  0.870801, Time  0.265272
2021-09-15 09:42:24.869451 : Epoch  3, Batch    972, Loss  0.862077, Average Loss  0.870853, Time  0.264406
2021-09-15 09:42:27.867039 : Epoch  3, Batch    973, Loss  0.876050, Average Loss  0.870875, Time  0.264542
2021-09-15 09:42:30.908552 : Epoch  3, Batch    974, Loss  0.852020, Average Loss  0.870794, Time  0.278089
2021-09-15 09:42:33.940588 : Epoch  3, Batch    975, Loss  0.873984, Average Loss  0.870685, Time  0.265185
2021-09-15 09:42:36.955558 : Epoch  3, Batch    976, Loss  0.876389, Average Loss  0.870786, Time  0.264810
2021-09-15 09:42:39.954543 : Epoch  3, Batch    977, Loss  0.844842, Average Loss  0.870690, Time  0.264583
2021-09-15 09:42:42.972715 : Epoch  3, Batch    978, Loss  0.864874, Average Loss  0.870585, Time  0.266758
2021-09-15 09:42:45.989528 : Epoch  3, Batch    979, Loss  0.886446, Average Loss  0.870682, Time  0.265039
2021-09-15 09:42:48.988959 : Epoch  3, Batch    980, Loss  0.858707, Average Loss  0.870609, Time  0.265388
2021-09-15 09:42:51.999551 : Epoch  3, Batch    981, Loss  0.865224, Average Loss  0.870537, Time  0.265588
2021-09-15 09:42:54.997425 : Epoch  3, Batch    982, Loss  0.850942, Average Loss  0.870501, Time  0.265398
2021-09-15 09:42:57.994039 : Epoch  3, Batch    983, Loss  0.858064, Average Loss  0.870413, Time  0.264638
2021-09-15 09:43:00.998779 : Epoch  3, Batch    984, Loss  0.888940, Average Loss  0.870478, Time  0.264333
2021-09-15 09:43:04.038289 : Epoch  3, Batch    985, Loss  0.867287, Average Loss  0.870519, Time  0.266016
2021-09-15 09:43:07.135534 : Epoch  3, Batch    986, Loss  0.880098, Average Loss  0.870576, Time  0.264771
2021-09-15 09:43:10.137124 : Epoch  3, Batch    987, Loss  0.875221, Average Loss  0.870561, Time  0.265074
2021-09-15 09:43:13.153368 : Epoch  3, Batch    988, Loss  0.866812, Average Loss  0.870501, Time  0.264185
2021-09-15 09:47:53.100216 : CheckPoint: Validation Loss  0.00030150, Best Loss  0.00029236
2021-09-15 09:47:56.112464 : Epoch  3, Batch    989, Loss  0.873874, Average Loss  0.870527, Time  0.279706
2021-09-15 09:47:59.166939 : Epoch  3, Batch    990, Loss  0.887154, Average Loss  0.870675, Time  0.267140
2021-09-15 09:48:02.189688 : Epoch  3, Batch    991, Loss  0.859484, Average Loss  0.870572, Time  0.265398
2021-09-15 09:48:05.199456 : Epoch  3, Batch    992, Loss  0.858051, Average Loss  0.870538, Time  0.264993
2021-09-15 09:48:08.226593 : Epoch  3, Batch    993, Loss  0.892354, Average Loss  0.870716, Time  0.265350
2021-09-15 09:48:11.220487 : Epoch  3, Batch    994, Loss  0.879575, Average Loss  0.870611, Time  0.263822
2021-09-15 09:48:14.212069 : Epoch  3, Batch    995, Loss  0.874475, Average Loss  0.870680, Time  0.265143
2021-09-15 09:48:17.217410 : Epoch  3, Batch    996, Loss  0.878047, Average Loss  0.870772, Time  0.264709
2021-09-15 09:48:20.240015 : Epoch  3, Batch    997, Loss  0.877754, Average Loss  0.870811, Time  0.264417
2021-09-15 09:48:23.259614 : Epoch  3, Batch    998, Loss  0.875886, Average Loss  0.870803, Time  0.265875
2021-09-15 09:48:26.291007 : Epoch  3, Batch    999, Loss  0.884410, Average Loss  0.870860, Time  0.265942
2021-09-15 09:48:29.297040 : Epoch  3, Batch   1000, Loss  0.862086, Average Loss  0.870806, Time  0.265301
2021-09-15 09:48:32.320035 : Epoch  3, Batch   1001, Loss  0.872280, Average Loss  0.870747, Time  0.266326
2021-09-15 09:48:35.315129 : Epoch  3, Batch   1002, Loss  0.853795, Average Loss  0.870580, Time  0.265007
2021-09-15 09:48:38.331703 : Epoch  3, Batch   1003, Loss  0.859679, Average Loss  0.870465, Time  0.265935
2021-09-15 09:48:41.346769 : Epoch  3, Batch   1004, Loss  0.887091, Average Loss  0.870492, Time  0.271632
2021-09-15 09:48:44.382274 : Epoch  3, Batch   1005, Loss  0.879598, Average Loss  0.870541, Time  0.265963
2021-09-15 09:48:47.405080 : Epoch  3, Batch   1006, Loss  0.882007, Average Loss  0.870531, Time  0.265549
2021-09-15 09:48:50.418857 : Epoch  3, Batch   1007, Loss  0.866631, Average Loss  0.870532, Time  0.264772
2021-09-15 09:48:53.417508 : Epoch  3, Batch   1008, Loss  0.870994, Average Loss  0.870613, Time  0.264227
2021-09-15 09:48:56.445033 : Epoch  3, Batch   1009, Loss  0.870970, Average Loss  0.870608, Time  0.265826
2021-09-15 09:48:59.452820 : Epoch  3, Batch   1010, Loss  0.888984, Average Loss  0.870794, Time  0.264616
2021-09-15 09:49:02.482090 : Epoch  3, Batch   1011, Loss  0.850163, Average Loss  0.870739, Time  0.266369
2021-09-15 09:49:05.527050 : Epoch  3, Batch   1012, Loss  0.914752, Average Loss  0.870951, Time  0.265682
2021-09-15 09:49:08.527201 : Epoch  3, Batch   1013, Loss  0.877810, Average Loss  0.870985, Time  0.264970
2021-09-15 09:49:11.550320 : Epoch  3, Batch   1014, Loss  0.873228, Average Loss  0.871042, Time  0.264743
2021-09-15 09:49:14.616843 : Epoch  3, Batch   1015, Loss  0.882328, Average Loss  0.871052, Time  0.264440
2021-09-15 09:49:17.622536 : Epoch  3, Batch   1016, Loss  0.852151, Average Loss  0.871003, Time  0.264013
2021-09-15 09:49:20.616341 : Epoch  3, Batch   1017, Loss  0.883402, Average Loss  0.871060, Time  0.264799
2021-09-15 09:49:23.617056 : Epoch  3, Batch   1018, Loss  0.851505, Average Loss  0.871004, Time  0.265141
2021-09-15 09:49:26.619215 : Epoch  3, Batch   1019, Loss  0.863404, Average Loss  0.870987, Time  0.274548
2021-09-15 09:49:29.616537 : Epoch  3, Batch   1020, Loss  0.858257, Average Loss  0.870902, Time  0.265412
2021-09-15 09:49:32.619986 : Epoch  3, Batch   1021, Loss  0.886253, Average Loss  0.870961, Time  0.266167
2021-09-15 09:49:35.658312 : Epoch  3, Batch   1022, Loss  0.860550, Average Loss  0.870916, Time  0.265495
2021-09-15 09:49:38.675644 : Epoch  3, Batch   1023, Loss  0.901066, Average Loss  0.871151, Time  0.265346
2021-09-15 09:49:41.696926 : Epoch  3, Batch   1024, Loss  0.886836, Average Loss  0.871231, Time  0.265770
2021-09-15 09:49:44.703566 : Epoch  3, Batch   1025, Loss  0.887916, Average Loss  0.871338, Time  0.265697
2021-09-15 09:49:47.697391 : Epoch  3, Batch   1026, Loss  0.867240, Average Loss  0.871275, Time  0.265012
2021-09-15 09:49:50.693400 : Epoch  3, Batch   1027, Loss  0.889650, Average Loss  0.871448, Time  0.265046
2021-09-15 09:49:53.690970 : Epoch  3, Batch   1028, Loss  0.864268, Average Loss  0.871391, Time  0.264560
2021-09-15 09:49:56.698115 : Epoch  3, Batch   1029, Loss  0.877814, Average Loss  0.871447, Time  0.265021
2021-09-15 09:49:59.721111 : Epoch  3, Batch   1030, Loss  0.870165, Average Loss  0.871576, Time  0.265664
2021-09-15 09:50:02.753007 : Epoch  3, Batch   1031, Loss  0.877194, Average Loss  0.871686, Time  0.265640
2021-09-15 09:50:05.799792 : Epoch  3, Batch   1032, Loss  0.852624, Average Loss  0.871680, Time  0.264547
2021-09-15 09:50:08.795965 : Epoch  3, Batch   1033, Loss  0.864873, Average Loss  0.871692, Time  0.264793
2021-09-15 09:50:11.821666 : Epoch  3, Batch   1034, Loss  0.873687, Average Loss  0.871657, Time  0.277047
2021-09-15 09:50:14.860581 : Epoch  3, Batch   1035, Loss  0.859451, Average Loss  0.871538, Time  0.265156
2021-09-15 09:50:17.889796 : Epoch  3, Batch   1036, Loss  0.857859, Average Loss  0.871398, Time  0.265371
2021-09-15 09:50:20.889961 : Epoch  3, Batch   1037, Loss  0.874724, Average Loss  0.871462, Time  0.264747
2021-09-15 09:50:23.890832 : Epoch  3, Batch   1038, Loss  0.880041, Average Loss  0.871451, Time  0.264564
2021-09-15 09:50:26.881523 : Epoch  3, Batch   1039, Loss  0.876008, Average Loss  0.871426, Time  0.265369
2021-09-15 09:50:29.909483 : Epoch  3, Batch   1040, Loss  0.870539, Average Loss  0.871383, Time  0.266147
2021-09-15 09:50:32.917797 : Epoch  3, Batch   1041, Loss  0.873970, Average Loss  0.871362, Time  0.265854
2021-09-15 09:50:35.932940 : Epoch  3, Batch   1042, Loss  0.870379, Average Loss  0.871378, Time  0.264669
2021-09-15 09:50:38.963169 : Epoch  3, Batch   1043, Loss  0.877021, Average Loss  0.871402, Time  0.265633
2021-09-15 09:50:41.978598 : Epoch  3, Batch   1044, Loss  0.873572, Average Loss  0.871457, Time  0.265298
2021-09-15 09:50:44.985745 : Epoch  3, Batch   1045, Loss  0.854114, Average Loss  0.871405, Time  0.265221
2021-09-15 09:50:48.022848 : Epoch  3, Batch   1046, Loss  0.845989, Average Loss  0.871338, Time  0.266141
2021-09-15 09:50:51.023216 : Epoch  3, Batch   1047, Loss  0.872917, Average Loss  0.871305, Time  0.264315
2021-09-15 09:50:54.036509 : Epoch  3, Batch   1048, Loss  0.872216, Average Loss  0.871363, Time  0.264368
2021-09-15 09:50:57.072983 : Epoch  3, Batch   1049, Loss  0.869635, Average Loss  0.871382, Time  0.278948
2021-09-15 09:51:00.097991 : Epoch  3, Batch   1050, Loss  0.897808, Average Loss  0.871475, Time  0.265709
2021-09-15 09:51:03.130426 : Epoch  3, Batch   1051, Loss  0.888619, Average Loss  0.871562, Time  0.266689
2021-09-15 09:51:06.168741 : Epoch  3, Batch   1052, Loss  0.887162, Average Loss  0.871571, Time  0.264978
2021-09-15 09:51:09.185242 : Epoch  3, Batch   1053, Loss  0.852884, Average Loss  0.871513, Time  0.264708
2021-09-15 09:51:12.207736 : Epoch  3, Batch   1054, Loss  0.856841, Average Loss  0.871461, Time  0.265783
2021-09-15 09:51:15.221158 : Epoch  3, Batch   1055, Loss  0.866164, Average Loss  0.871453, Time  0.266193
2021-09-15 09:51:18.215011 : Epoch  3, Batch   1056, Loss  0.879119, Average Loss  0.871589, Time  0.264476
2021-09-15 09:51:21.217627 : Epoch  3, Batch   1057, Loss  0.879965, Average Loss  0.871738, Time  0.265039
2021-09-15 09:51:24.209886 : Epoch  3, Batch   1058, Loss  0.888902, Average Loss  0.871880, Time  0.264844
2021-09-15 09:51:27.203970 : Epoch  3, Batch   1059, Loss  0.867356, Average Loss  0.871901, Time  0.266396
2021-09-15 09:51:30.221066 : Epoch  3, Batch   1060, Loss  0.875629, Average Loss  0.871881, Time  0.265381
2021-09-15 09:51:33.237516 : Epoch  3, Batch   1061, Loss  0.874453, Average Loss  0.871895, Time  0.264654
2021-09-15 09:51:36.228792 : Epoch  3, Batch   1062, Loss  0.862823, Average Loss  0.871856, Time  0.265448
2021-09-15 09:51:39.261863 : Epoch  3, Batch   1063, Loss  0.892494, Average Loss  0.871902, Time  0.267696
2021-09-15 09:51:42.326577 : Epoch  3, Batch   1064, Loss  0.882350, Average Loss  0.872002, Time  0.274226
2021-09-15 09:51:45.368749 : Epoch  3, Batch   1065, Loss  0.867869, Average Loss  0.871944, Time  0.265740
2021-09-15 09:51:48.391557 : Epoch  3, Batch   1066, Loss  0.872409, Average Loss  0.871943, Time  0.266054
2021-09-15 09:51:51.399417 : Epoch  3, Batch   1067, Loss  0.887071, Average Loss  0.871990, Time  0.265795
2021-09-15 09:51:54.431224 : Epoch  3, Batch   1068, Loss  0.866872, Average Loss  0.871906, Time  0.265234
2021-09-15 09:51:57.442205 : Epoch  3, Batch   1069, Loss  0.872299, Average Loss  0.872070, Time  0.264391
2021-09-15 09:52:00.480151 : Epoch  3, Batch   1070, Loss  0.866579, Average Loss  0.871976, Time  0.265711
2021-09-15 09:52:03.479404 : Epoch  3, Batch   1071, Loss  0.867525, Average Loss  0.872039, Time  0.265022
2021-09-15 09:52:06.483335 : Epoch  3, Batch   1072, Loss  0.863747, Average Loss  0.871876, Time  0.265140
2021-09-15 09:52:09.498279 : Epoch  3, Batch   1073, Loss  0.864719, Average Loss  0.871927, Time  0.265640
2021-09-15 09:52:12.531252 : Epoch  3, Batch   1074, Loss  0.884875, Average Loss  0.871944, Time  0.265273
2021-09-15 09:52:15.556300 : Epoch  3, Batch   1075, Loss  0.862239, Average Loss  0.871924, Time  0.265043
2021-09-15 09:52:18.594027 : Epoch  3, Batch   1076, Loss  0.854301, Average Loss  0.871840, Time  0.264441
2021-09-15 09:52:21.611040 : Epoch  3, Batch   1077, Loss  0.876454, Average Loss  0.871945, Time  0.264750
2021-09-15 09:52:24.604173 : Epoch  3, Batch   1078, Loss  0.863588, Average Loss  0.871944, Time  0.264235
2021-09-15 09:52:27.613967 : Epoch  3, Batch   1079, Loss  0.868017, Average Loss  0.871914, Time  0.274534
2021-09-15 09:52:30.632128 : Epoch  3, Batch   1080, Loss  0.857445, Average Loss  0.871798, Time  0.265998
2021-09-15 09:52:33.642234 : Epoch  3, Batch   1081, Loss  0.862333, Average Loss  0.871909, Time  0.264781
2021-09-15 09:52:36.638551 : Epoch  3, Batch   1082, Loss  0.872699, Average Loss  0.871964, Time  0.265082
2021-09-15 09:52:39.632464 : Epoch  3, Batch   1083, Loss  0.887463, Average Loss  0.871942, Time  0.265712
2021-09-15 09:52:42.632206 : Epoch  3, Batch   1084, Loss  0.874328, Average Loss  0.872047, Time  0.264986
2021-09-15 09:52:45.652479 : Epoch  3, Batch   1085, Loss  0.873272, Average Loss  0.871990, Time  0.264658
2021-09-15 09:52:48.648982 : Epoch  3, Batch   1086, Loss  0.853910, Average Loss  0.871889, Time  0.264456
2021-09-15 09:52:51.689092 : Epoch  3, Batch   1087, Loss  0.881505, Average Loss  0.871885, Time  0.265243
2021-09-15 09:52:54.705460 : Epoch  3, Batch   1088, Loss  0.865994, Average Loss  0.871844, Time  0.265891
2021-09-15 09:57:34.049243 : CheckPoint: Validation Loss  0.00030335, Best Loss  0.00029236
2021-09-15 09:57:37.035139 : Epoch  3, Batch   1089, Loss  0.837315, Average Loss  0.871756, Time  0.267400
2021-09-15 09:57:40.069368 : Epoch  3, Batch   1090, Loss  0.848322, Average Loss  0.871614, Time  0.264792
2021-09-15 09:57:43.068711 : Epoch  3, Batch   1091, Loss  0.877659, Average Loss  0.871637, Time  0.264947
2021-09-15 09:57:46.094041 : Epoch  3, Batch   1092, Loss  0.890645, Average Loss  0.871664, Time  0.264147
2021-09-15 09:57:49.124946 : Epoch  3, Batch   1093, Loss  0.852213, Average Loss  0.871579, Time  0.265368
2021-09-15 09:57:52.173772 : Epoch  3, Batch   1094, Loss  0.887262, Average Loss  0.871622, Time  0.264783
2021-09-15 09:57:55.205009 : Epoch  3, Batch   1095, Loss  0.872572, Average Loss  0.871673, Time  0.271376
2021-09-15 09:57:58.199327 : Epoch  3, Batch   1096, Loss  0.864689, Average Loss  0.871590, Time  0.264020
2021-09-15 09:58:01.198325 : Epoch  3, Batch   1097, Loss  0.864641, Average Loss  0.871541, Time  0.264829
2021-09-15 09:58:04.201887 : Epoch  3, Batch   1098, Loss  0.883834, Average Loss  0.871612, Time  0.265214
2021-09-15 09:58:07.196131 : Epoch  3, Batch   1099, Loss  0.874558, Average Loss  0.871765, Time  0.266414
2021-09-15 09:58:10.233590 : Epoch  3, Batch   1100, Loss  0.856577, Average Loss  0.871635, Time  0.263880
2021-09-15 09:58:13.229004 : Epoch  3, Batch   1101, Loss  0.869919, Average Loss  0.871629, Time  0.267414
2021-09-15 09:58:16.274434 : Epoch  3, Batch   1102, Loss  0.857648, Average Loss  0.871557, Time  0.265433
2021-09-15 09:58:19.272722 : Epoch  3, Batch   1103, Loss  0.862101, Average Loss  0.871559, Time  0.264687
2021-09-15 09:58:22.271690 : Epoch  3, Batch   1104, Loss  0.902689, Average Loss  0.871719, Time  0.264567
2021-09-15 09:58:25.271241 : Epoch  3, Batch   1105, Loss  0.893578, Average Loss  0.871848, Time  0.264871
2021-09-15 09:58:28.269356 : Epoch  3, Batch   1106, Loss  0.871277, Average Loss  0.871841, Time  0.265025
2021-09-15 09:58:31.264494 : Epoch  3, Batch   1107, Loss  0.874316, Average Loss  0.871813, Time  0.264143
2021-09-15 09:58:34.257737 : Epoch  3, Batch   1108, Loss  0.888554, Average Loss  0.871923, Time  0.264605
2021-09-15 09:58:37.283025 : Epoch  3, Batch   1109, Loss  0.870215, Average Loss  0.871899, Time  0.265590
2021-09-15 09:58:40.319389 : Epoch  3, Batch   1110, Loss  0.882290, Average Loss  0.871957, Time  0.271063
2021-09-15 09:58:43.308807 : Epoch  3, Batch   1111, Loss  0.862813, Average Loss  0.871959, Time  0.264640
2021-09-15 09:58:46.297990 : Epoch  3, Batch   1112, Loss  0.884176, Average Loss  0.871997, Time  0.264889
2021-09-15 09:58:49.295568 : Epoch  3, Batch   1113, Loss  0.860069, Average Loss  0.871963, Time  0.264754
2021-09-15 09:58:52.291676 : Epoch  3, Batch   1114, Loss  0.859297, Average Loss  0.871877, Time  0.264863
2021-09-15 09:58:55.285208 : Epoch  3, Batch   1115, Loss  0.864533, Average Loss  0.871790, Time  0.264357
2021-09-15 09:58:58.295015 : Epoch  3, Batch   1116, Loss  0.851179, Average Loss  0.871646, Time  0.264930
2021-09-15 09:59:01.304575 : Epoch  3, Batch   1117, Loss  0.883740, Average Loss  0.871711, Time  0.264761
2021-09-15 09:59:04.328049 : Epoch  3, Batch   1118, Loss  0.859266, Average Loss  0.871665, Time  0.265117
2021-09-15 09:59:07.361398 : Epoch  3, Batch   1119, Loss  0.861307, Average Loss  0.871605, Time  0.266484
2021-09-15 09:59:10.373816 : Epoch  3, Batch   1120, Loss  0.882022, Average Loss  0.871729, Time  0.264386
2021-09-15 09:59:13.392865 : Epoch  3, Batch   1121, Loss  0.890675, Average Loss  0.871747, Time  0.265952
2021-09-15 09:59:16.422961 : Epoch  3, Batch   1122, Loss  0.869714, Average Loss  0.871802, Time  0.265387
2021-09-15 09:59:19.432646 : Epoch  3, Batch   1123, Loss  0.883076, Average Loss  0.871928, Time  0.265802
2021-09-15 09:59:22.437482 : Epoch  3, Batch   1124, Loss  0.877607, Average Loss  0.871976, Time  0.264749
2021-09-15 09:59:25.444559 : Epoch  3, Batch   1125, Loss  0.880016, Average Loss  0.872014, Time  0.270707
2021-09-15 09:59:28.449315 : Epoch  3, Batch   1126, Loss  0.869579, Average Loss  0.872019, Time  0.265777
2021-09-15 09:59:31.472967 : Epoch  3, Batch   1127, Loss  0.864601, Average Loss  0.871880, Time  0.265373
2021-09-15 09:59:34.475209 : Epoch  3, Batch   1128, Loss  0.890342, Average Loss  0.871928, Time  0.266421
2021-09-15 09:59:37.542392 : Epoch  3, Batch   1129, Loss  0.831921, Average Loss  0.871681, Time  0.264043
2021-09-15 09:59:40.532388 : Epoch  3, Batch   1130, Loss  0.862096, Average Loss  0.871724, Time  0.265262
2021-09-15 09:59:43.523009 : Epoch  3, Batch   1131, Loss  0.867105, Average Loss  0.871813, Time  0.264979
2021-09-15 09:59:46.539115 : Epoch  3, Batch   1132, Loss  0.866075, Average Loss  0.871738, Time  0.264483
2021-09-15 09:59:49.561105 : Epoch  3, Batch   1133, Loss  0.889942, Average Loss  0.871848, Time  0.265812
2021-09-15 09:59:52.580767 : Epoch  3, Batch   1134, Loss  0.856294, Average Loss  0.871749, Time  0.264468
2021-09-15 09:59:55.598743 : Epoch  3, Batch   1135, Loss  0.873734, Average Loss  0.871702, Time  0.265218
2021-09-15 09:59:58.634544 : Epoch  3, Batch   1136, Loss  0.876550, Average Loss  0.871632, Time  0.265488
2021-09-15 10:00:01.652872 : Epoch  3, Batch   1137, Loss  0.859211, Average Loss  0.871600, Time  0.264777
2021-09-15 10:00:04.643667 : Epoch  3, Batch   1138, Loss  0.864228, Average Loss  0.871574, Time  0.264907
2021-09-15 10:00:07.674747 : Epoch  3, Batch   1139, Loss  0.853442, Average Loss  0.871394, Time  0.266382
2021-09-15 10:00:10.677373 : Epoch  3, Batch   1140, Loss  0.860902, Average Loss  0.871460, Time  0.275185
2021-09-15 10:00:13.685051 : Epoch  3, Batch   1141, Loss  0.881392, Average Loss  0.871459, Time  0.266464
2021-09-15 10:00:16.685159 : Epoch  3, Batch   1142, Loss  0.876535, Average Loss  0.871462, Time  0.265044
2021-09-15 10:00:19.686965 : Epoch  3, Batch   1143, Loss  0.862649, Average Loss  0.871489, Time  0.264919
2021-09-15 10:00:22.685338 : Epoch  3, Batch   1144, Loss  0.873049, Average Loss  0.871451, Time  0.264983
2021-09-15 10:00:25.733083 : Epoch  3, Batch   1145, Loss  0.881984, Average Loss  0.871530, Time  0.264076
2021-09-15 10:00:28.722412 : Epoch  3, Batch   1146, Loss  0.867271, Average Loss  0.871473, Time  0.265934
2021-09-15 10:00:31.745776 : Epoch  3, Batch   1147, Loss  0.870521, Average Loss  0.871571, Time  0.265664
2021-09-15 10:00:34.771272 : Epoch  3, Batch   1148, Loss  0.881115, Average Loss  0.871641, Time  0.265238
2021-09-15 10:00:37.815565 : Epoch  3, Batch   1149, Loss  0.880452, Average Loss  0.871646, Time  0.264553
2021-09-15 10:00:40.843985 : Epoch  3, Batch   1150, Loss  0.887306, Average Loss  0.871762, Time  0.264625
2021-09-15 10:00:43.841801 : Epoch  3, Batch   1151, Loss  0.901998, Average Loss  0.871975, Time  0.264598
2021-09-15 10:00:46.864271 : Epoch  3, Batch   1152, Loss  0.869362, Average Loss  0.871851, Time  0.265623
2021-09-15 10:00:49.863852 : Epoch  3, Batch   1153, Loss  0.901505, Average Loss  0.871804, Time  0.264560
2021-09-15 10:00:52.877970 : Epoch  3, Batch   1154, Loss  0.866322, Average Loss  0.871825, Time  0.265392
2021-09-15 10:00:55.908281 : Epoch  3, Batch   1155, Loss  0.878215, Average Loss  0.871862, Time  0.277653
2021-09-15 10:00:58.900350 : Epoch  3, Batch   1156, Loss  0.886276, Average Loss  0.871911, Time  0.265040
2021-09-15 10:01:01.923194 : Epoch  3, Batch   1157, Loss  0.870499, Average Loss  0.871907, Time  0.265614
2021-09-15 10:01:04.938262 : Epoch  3, Batch   1158, Loss  0.873258, Average Loss  0.871847, Time  0.267472
2021-09-15 10:01:07.993552 : Epoch  3, Batch   1159, Loss  0.851103, Average Loss  0.871787, Time  0.266920
2021-09-15 10:01:11.004607 : Epoch  3, Batch   1160, Loss  0.864171, Average Loss  0.871799, Time  0.264362
2021-09-15 10:01:14.007728 : Epoch  3, Batch   1161, Loss  0.854529, Average Loss  0.871751, Time  0.265022
2021-09-15 10:01:17.003974 : Epoch  3, Batch   1162, Loss  0.864868, Average Loss  0.871590, Time  0.265738
2021-09-15 10:01:20.018389 : Epoch  3, Batch   1163, Loss  0.866227, Average Loss  0.871596, Time  0.264513
2021-09-15 10:01:23.019815 : Epoch  3, Batch   1164, Loss  0.889427, Average Loss  0.871709, Time  0.264906
2021-09-15 10:01:26.054950 : Epoch  3, Batch   1165, Loss  0.885178, Average Loss  0.871830, Time  0.266004
2021-09-15 10:01:29.091941 : Epoch  3, Batch   1166, Loss  0.863528, Average Loss  0.871804, Time  0.264777
2021-09-15 10:01:32.087410 : Epoch  3, Batch   1167, Loss  0.865495, Average Loss  0.871799, Time  0.264498
2021-09-15 10:01:35.084960 : Epoch  3, Batch   1168, Loss  0.887191, Average Loss  0.871846, Time  0.264860
2021-09-15 10:01:38.115599 : Epoch  3, Batch   1169, Loss  0.875597, Average Loss  0.871823, Time  0.265257
2021-09-15 10:01:41.178305 : Epoch  3, Batch   1170, Loss  0.868784, Average Loss  0.871882, Time  0.277988
2021-09-15 10:01:44.194846 : Epoch  3, Batch   1171, Loss  0.858117, Average Loss  0.871706, Time  0.265168
2021-09-15 10:01:47.195498 : Epoch  3, Batch   1172, Loss  0.852693, Average Loss  0.871659, Time  0.264533
2021-09-15 10:01:50.189618 : Epoch  3, Batch   1173, Loss  0.867282, Average Loss  0.871615, Time  0.265372
2021-09-15 10:01:53.191914 : Epoch  3, Batch   1174, Loss  0.848992, Average Loss  0.871600, Time  0.264546
2021-09-15 10:01:56.193312 : Epoch  3, Batch   1175, Loss  0.875924, Average Loss  0.871609, Time  0.264520
2021-09-15 10:01:59.192867 : Epoch  3, Batch   1176, Loss  0.875275, Average Loss  0.871604, Time  0.264852
2021-09-15 10:02:02.185108 : Epoch  3, Batch   1177, Loss  0.878731, Average Loss  0.871773, Time  0.264758
2021-09-15 10:02:05.202272 : Epoch  3, Batch   1178, Loss  0.858806, Average Loss  0.871743, Time  0.266950
2021-09-15 10:02:08.241475 : Epoch  3, Batch   1179, Loss  0.859320, Average Loss  0.871607, Time  0.266768
2021-09-15 10:02:11.271542 : Epoch  3, Batch   1180, Loss  0.868438, Average Loss  0.871656, Time  0.264955
2021-09-15 10:02:14.290394 : Epoch  3, Batch   1181, Loss  0.886070, Average Loss  0.871760, Time  0.266395
2021-09-15 10:02:17.323848 : Epoch  3, Batch   1182, Loss  0.853809, Average Loss  0.871775, Time  0.265791
2021-09-15 10:02:20.317256 : Epoch  3, Batch   1183, Loss  0.856289, Average Loss  0.871766, Time  0.264978
2021-09-15 10:02:23.334873 : Epoch  3, Batch   1184, Loss  0.910402, Average Loss  0.871873, Time  0.265305
2021-09-15 10:02:26.379145 : Epoch  3, Batch   1185, Loss  0.873906, Average Loss  0.871906, Time  0.275937
2021-09-15 10:02:29.382446 : Epoch  3, Batch   1186, Loss  0.870291, Average Loss  0.871857, Time  0.265557
2021-09-15 10:02:32.384770 : Epoch  3, Batch   1187, Loss  0.888707, Average Loss  0.871924, Time  0.264347
2021-09-15 10:02:35.413283 : Epoch  3, Batch   1188, Loss  0.861128, Average Loss  0.871896, Time  0.265286
2021-09-15 10:07:16.259661 : CheckPoint: Validation Loss  0.00029870, Best Loss  0.00029236
2021-09-15 10:07:19.287213 : Epoch  3, Batch   1189, Loss  0.861849, Average Loss  0.871836, Time  0.267508
2021-09-15 10:07:22.330052 : Epoch  3, Batch   1190, Loss  0.872114, Average Loss  0.871761, Time  0.265514
2021-09-15 10:07:25.364354 : Epoch  3, Batch   1191, Loss  0.869595, Average Loss  0.871811, Time  0.265135
2021-09-15 10:07:28.366232 : Epoch  3, Batch   1192, Loss  0.885973, Average Loss  0.871951, Time  0.265653
2021-09-15 10:07:31.363182 : Epoch  3, Batch   1193, Loss  0.885720, Average Loss  0.871918, Time  0.264323
2021-09-15 10:07:34.376661 : Epoch  3, Batch   1194, Loss  0.855907, Average Loss  0.871799, Time  0.264821
2021-09-15 10:07:37.381012 : Epoch  3, Batch   1195, Loss  0.877378, Average Loss  0.871814, Time  0.264564
2021-09-15 10:07:40.384005 : Epoch  3, Batch   1196, Loss  0.863660, Average Loss  0.871742, Time  0.264340
2021-09-15 10:07:43.407289 : Epoch  3, Batch   1197, Loss  0.880851, Average Loss  0.871757, Time  0.265360
2021-09-15 10:07:46.440542 : Epoch  3, Batch   1198, Loss  0.891017, Average Loss  0.871833, Time  0.274156
2021-09-15 10:07:49.425702 : Epoch  3, Batch   1199, Loss  0.870501, Average Loss  0.871764, Time  0.264502
2021-09-15 10:07:52.416683 : Epoch  3, Batch   1200, Loss  0.873723, Average Loss  0.871822, Time  0.264597
2021-09-15 10:07:55.427390 : Epoch  3, Batch   1201, Loss  0.876570, Average Loss  0.871843, Time  0.265366
2021-09-15 10:07:58.450030 : Epoch  3, Batch   1202, Loss  0.871861, Average Loss  0.871933, Time  0.265687
2021-09-15 10:08:01.494178 : Epoch  3, Batch   1203, Loss  0.870029, Average Loss  0.871985, Time  0.265421
2021-09-15 10:08:04.543237 : Epoch  3, Batch   1204, Loss  0.875470, Average Loss  0.871927, Time  0.265349
2021-09-15 10:08:07.559101 : Epoch  3, Batch   1205, Loss  0.878125, Average Loss  0.871920, Time  0.265152
2021-09-15 10:08:10.611439 : Epoch  3, Batch   1206, Loss  0.877514, Average Loss  0.871897, Time  0.265785
2021-09-15 10:08:13.624665 : Epoch  3, Batch   1207, Loss  0.867248, Average Loss  0.871900, Time  0.265294
2021-09-15 10:08:16.647920 : Epoch  3, Batch   1208, Loss  0.876599, Average Loss  0.871928, Time  0.265124
2021-09-15 10:08:19.637524 : Epoch  3, Batch   1209, Loss  0.898366, Average Loss  0.872065, Time  0.264624
2021-09-15 10:08:22.644012 : Epoch  3, Batch   1210, Loss  0.886911, Average Loss  0.872055, Time  0.264889
2021-09-15 10:08:25.660611 : Epoch  3, Batch   1211, Loss  0.848142, Average Loss  0.872045, Time  0.265396
2021-09-15 10:08:28.669794 : Epoch  3, Batch   1212, Loss  0.864060, Average Loss  0.871791, Time  0.264846
2021-09-15 10:08:31.683908 : Epoch  3, Batch   1213, Loss  0.844541, Average Loss  0.871625, Time  0.277902
2021-09-15 10:08:34.683121 : Epoch  3, Batch   1214, Loss  0.852632, Average Loss  0.871522, Time  0.265511
2021-09-15 10:08:37.651605 : Epoch  3, Batch   1215, Loss  0.869999, Average Loss  0.871461, Time  0.264573
2021-09-15 10:08:40.653094 : Epoch  3, Batch   1216, Loss  0.863352, Average Loss  0.871517, Time  0.264625
2021-09-15 10:08:43.671841 : Epoch  3, Batch   1217, Loss  0.877008, Average Loss  0.871485, Time  0.264962
2021-09-15 10:08:46.707416 : Epoch  3, Batch   1218, Loss  0.848411, Average Loss  0.871469, Time  0.266402
2021-09-15 10:08:49.723008 : Epoch  3, Batch   1219, Loss  0.854470, Average Loss  0.871424, Time  0.267017
2021-09-15 10:08:52.757014 : Epoch  3, Batch   1220, Loss  0.872541, Average Loss  0.871496, Time  0.264359
2021-09-15 10:08:55.775679 : Epoch  3, Batch   1221, Loss  0.875136, Average Loss  0.871440, Time  0.266642
2021-09-15 10:08:58.815866 : Epoch  3, Batch   1222, Loss  0.867150, Average Loss  0.871473, Time  0.265917
2021-09-15 10:09:01.818954 : Epoch  3, Batch   1223, Loss  0.867794, Average Loss  0.871307, Time  0.265186
2021-09-15 10:09:04.816493 : Epoch  3, Batch   1224, Loss  0.872313, Average Loss  0.871234, Time  0.264927
2021-09-15 10:09:07.823893 : Epoch  3, Batch   1225, Loss  0.858697, Average Loss  0.871088, Time  0.265744
2021-09-15 10:09:10.856638 : Epoch  3, Batch   1226, Loss  0.882130, Average Loss  0.871163, Time  0.265979
2021-09-15 10:09:13.869978 : Epoch  3, Batch   1227, Loss  0.870609, Average Loss  0.871067, Time  0.264982
2021-09-15 10:09:16.883698 : Epoch  3, Batch   1228, Loss  0.857769, Average Loss  0.871035, Time  0.272560
2021-09-15 10:09:19.900514 : Epoch  3, Batch   1229, Loss  0.866563, Average Loss  0.870979, Time  0.265643
2021-09-15 10:09:22.900432 : Epoch  3, Batch   1230, Loss  0.877067, Average Loss  0.871013, Time  0.264733
2021-09-15 10:09:25.928114 : Epoch  3, Batch   1231, Loss  0.881279, Average Loss  0.871034, Time  0.265643
2021-09-15 10:09:28.954931 : Epoch  3, Batch   1232, Loss  0.865984, Average Loss  0.871100, Time  0.264915
2021-09-15 10:09:31.997502 : Epoch  3, Batch   1233, Loss  0.886754, Average Loss  0.871210, Time  0.264363
2021-09-15 10:09:34.997453 : Epoch  3, Batch   1234, Loss  0.886017, Average Loss  0.871271, Time  0.265280
2021-09-15 10:09:38.027190 : Epoch  3, Batch   1235, Loss  0.876587, Average Loss  0.871357, Time  0.264187
2021-09-15 10:09:41.048030 : Epoch  3, Batch   1236, Loss  0.861442, Average Loss  0.871375, Time  0.264552
2021-09-15 10:09:44.050112 : Epoch  3, Batch   1237, Loss  0.870213, Average Loss  0.871353, Time  0.265380
2021-09-15 10:09:47.076101 : Epoch  3, Batch   1238, Loss  0.856832, Average Loss  0.871236, Time  0.264634
2021-09-15 10:09:50.092816 : Epoch  3, Batch   1239, Loss  0.859375, Average Loss  0.871153, Time  0.266418
2021-09-15 10:09:53.097927 : Epoch  3, Batch   1240, Loss  0.864632, Average Loss  0.871124, Time  0.264553
2021-09-15 10:09:56.105195 : Epoch  3, Batch   1241, Loss  0.879000, Average Loss  0.871149, Time  0.265613
2021-09-15 10:09:59.097849 : Epoch  3, Batch   1242, Loss  0.865411, Average Loss  0.871124, Time  0.264489
2021-09-15 10:10:02.125293 : Epoch  3, Batch   1243, Loss  0.890025, Average Loss  0.871189, Time  0.276195
2021-09-15 10:10:05.130425 : Epoch  3, Batch   1244, Loss  0.853007, Average Loss  0.871086, Time  0.265386
2021-09-15 10:10:08.137909 : Epoch  3, Batch   1245, Loss  0.892635, Average Loss  0.871279, Time  0.265547
2021-09-15 10:10:11.134046 : Epoch  3, Batch   1246, Loss  0.869345, Average Loss  0.871396, Time  0.264829
2021-09-15 10:10:14.148180 : Epoch  3, Batch   1247, Loss  0.876985, Average Loss  0.871416, Time  0.265366
2021-09-15 10:10:17.163036 : Epoch  3, Batch   1248, Loss  0.883894, Average Loss  0.871474, Time  0.264929
2021-09-15 10:10:20.160382 : Epoch  3, Batch   1249, Loss  0.870441, Average Loss  0.871478, Time  0.264625
2021-09-15 10:10:23.160013 : Epoch  3, Batch   1250, Loss  0.868848, Average Loss  0.871334, Time  0.265209
2021-09-15 10:10:26.180230 : Epoch  3, Batch   1251, Loss  0.883509, Average Loss  0.871308, Time  0.265138
2021-09-15 10:10:29.255382 : Epoch  3, Batch   1252, Loss  0.848031, Average Loss  0.871112, Time  0.266075
2021-09-15 10:10:32.288353 : Epoch  3, Batch   1253, Loss  0.885745, Average Loss  0.871277, Time  0.265799
2021-09-15 10:10:35.357547 : Epoch  3, Batch   1254, Loss  0.871374, Average Loss  0.871349, Time  0.266191
2021-09-15 10:10:38.404878 : Epoch  3, Batch   1255, Loss  0.876091, Average Loss  0.871399, Time  0.264496
2021-09-15 10:10:41.425932 : Epoch  3, Batch   1256, Loss  0.864279, Average Loss  0.871325, Time  0.264407
2021-09-15 10:10:44.466135 : Epoch  3, Batch   1257, Loss  0.867978, Average Loss  0.871265, Time  0.266077
2021-09-15 10:10:47.510110 : Epoch  3, Batch   1258, Loss  0.870431, Average Loss  0.871173, Time  0.279461
2021-09-15 10:10:50.518690 : Epoch  3, Batch   1259, Loss  0.854062, Average Loss  0.871106, Time  0.266740
2021-09-15 10:10:53.543093 : Epoch  3, Batch   1260, Loss  0.872243, Average Loss  0.871089, Time  0.264236
2021-09-15 10:10:56.567772 : Epoch  3, Batch   1261, Loss  0.873269, Average Loss  0.871083, Time  0.266294
2021-09-15 10:10:59.578613 : Epoch  3, Batch   1262, Loss  0.853842, Average Loss  0.871038, Time  0.265081
2021-09-15 10:11:02.596039 : Epoch  3, Batch   1263, Loss  0.876848, Average Loss  0.870960, Time  0.264500
2021-09-15 10:11:05.604683 : Epoch  3, Batch   1264, Loss  0.867943, Average Loss  0.870888, Time  0.265950
2021-09-15 10:11:08.636685 : Epoch  3, Batch   1265, Loss  0.858667, Average Loss  0.870842, Time  0.265597
2021-09-15 10:11:11.667322 : Epoch  3, Batch   1266, Loss  0.861065, Average Loss  0.870785, Time  0.265675
2021-09-15 10:11:14.712767 : Epoch  3, Batch   1267, Loss  0.856593, Average Loss  0.870633, Time  0.265519
2021-09-15 10:11:17.726556 : Epoch  3, Batch   1268, Loss  0.865169, Average Loss  0.870624, Time  0.264345
2021-09-15 10:11:20.722845 : Epoch  3, Batch   1269, Loss  0.860902, Average Loss  0.870567, Time  0.264505
2021-09-15 10:11:23.742900 : Epoch  3, Batch   1270, Loss  0.868297, Average Loss  0.870576, Time  0.264758
2021-09-15 10:11:26.759144 : Epoch  3, Batch   1271, Loss  0.861250, Average Loss  0.870545, Time  0.265410
2021-09-15 10:11:29.815685 : Epoch  3, Batch   1272, Loss  0.854623, Average Loss  0.870499, Time  0.265643
2021-09-15 10:11:32.866687 : Epoch  3, Batch   1273, Loss  0.877595, Average Loss  0.870563, Time  0.275505
2021-09-15 10:11:35.891122 : Epoch  3, Batch   1274, Loss  0.880201, Average Loss  0.870540, Time  0.266341
2021-09-15 10:11:38.940941 : Epoch  3, Batch   1275, Loss  0.864936, Average Loss  0.870554, Time  0.264593
2021-09-15 10:11:41.952145 : Epoch  3, Batch   1276, Loss  0.883298, Average Loss  0.870699, Time  0.264794
2021-09-15 10:11:44.957647 : Epoch  3, Batch   1277, Loss  0.861525, Average Loss  0.870624, Time  0.265815
2021-09-15 10:11:47.970255 : Epoch  3, Batch   1278, Loss  0.875110, Average Loss  0.870681, Time  0.265049
2021-09-15 10:11:50.978796 : Epoch  3, Batch   1279, Loss  0.860176, Average Loss  0.870642, Time  0.267103
2021-09-15 10:11:53.981078 : Epoch  3, Batch   1280, Loss  0.862297, Average Loss  0.870667, Time  0.264601
2021-09-15 10:11:56.982894 : Epoch  3, Batch   1281, Loss  0.861091, Average Loss  0.870660, Time  0.264876
2021-09-15 10:11:59.990962 : Epoch  3, Batch   1282, Loss  0.869559, Average Loss  0.870645, Time  0.265305
2021-09-15 10:12:03.016362 : Epoch  3, Batch   1283, Loss  0.872331, Average Loss  0.870569, Time  0.266059
2021-09-15 10:12:06.044062 : Epoch  3, Batch   1284, Loss  0.876247, Average Loss  0.870579, Time  0.265915
2021-09-15 10:12:09.048778 : Epoch  3, Batch   1285, Loss  0.867516, Average Loss  0.870550, Time  0.265501
2021-09-15 10:12:12.068548 : Epoch  3, Batch   1286, Loss  0.867401, Average Loss  0.870617, Time  0.265728
2021-09-15 10:12:15.076853 : Epoch  3, Batch   1287, Loss  0.880916, Average Loss  0.870614, Time  0.266132
2021-09-15 10:12:26.207960 : Epoch  3, Batch   1288, Loss  0.873928, Average Loss  0.870654, Time  0.275084
2021-09-15 10:17:04.253576 : CheckPoint: Validation Loss  0.00029808, Best Loss  0.00029236
2021-09-15 10:17:07.252447 : Epoch  3, Batch   1289, Loss  0.891826, Average Loss  0.870926, Time  0.267773
2021-09-15 10:17:10.257921 : Epoch  3, Batch   1290, Loss  0.867609, Average Loss  0.871023, Time  0.265252
2021-09-15 10:17:13.258873 : Epoch  3, Batch   1291, Loss  0.869531, Average Loss  0.870982, Time  0.265019
2021-09-15 10:17:16.269389 : Epoch  3, Batch   1292, Loss  0.889862, Average Loss  0.870978, Time  0.264272
2021-09-15 10:17:19.287794 : Epoch  3, Batch   1293, Loss  0.863541, Average Loss  0.871035, Time  0.264583
2021-09-15 10:17:22.299732 : Epoch  3, Batch   1294, Loss  0.857217, Average Loss  0.870885, Time  0.264874
2021-09-15 10:17:25.316736 : Epoch  3, Batch   1295, Loss  0.876144, Average Loss  0.870903, Time  0.265032
2021-09-15 10:17:28.317693 : Epoch  3, Batch   1296, Loss  0.882846, Average Loss  0.870993, Time  0.264107
2021-09-15 10:17:31.326983 : Epoch  3, Batch   1297, Loss  0.889273, Average Loss  0.871117, Time  0.266646
2021-09-15 10:17:34.326408 : Epoch  3, Batch   1298, Loss  0.875863, Average Loss  0.871077, Time  0.264194
2021-09-15 10:17:37.329279 : Epoch  3, Batch   1299, Loss  0.892244, Average Loss  0.871165, Time  0.264706
2021-09-15 10:17:40.334539 : Epoch  3, Batch   1300, Loss  0.874634, Average Loss  0.871255, Time  0.277376
2021-09-15 10:17:43.345187 : Epoch  3, Batch   1301, Loss  0.864094, Average Loss  0.871226, Time  0.265683
2021-09-15 10:17:46.350278 : Epoch  3, Batch   1302, Loss  0.880058, Average Loss  0.871338, Time  0.265459
2021-09-15 10:17:49.345183 : Epoch  3, Batch   1303, Loss  0.861052, Average Loss  0.871333, Time  0.264560
2021-09-15 10:17:52.344138 : Epoch  3, Batch   1304, Loss  0.855003, Average Loss  0.871095, Time  0.264844
2021-09-15 10:17:55.336295 : Epoch  3, Batch   1305, Loss  0.849260, Average Loss  0.870873, Time  0.265021
2021-09-15 10:17:58.327763 : Epoch  3, Batch   1306, Loss  0.863099, Average Loss  0.870832, Time  0.263562
2021-09-15 10:18:01.322289 : Epoch  3, Batch   1307, Loss  0.895490, Average Loss  0.870938, Time  0.265321
2021-09-15 10:18:04.336953 : Epoch  3, Batch   1308, Loss  0.847683, Average Loss  0.870734, Time  0.264123
2021-09-15 10:18:07.334849 : Epoch  3, Batch   1309, Loss  0.850619, Average Loss  0.870636, Time  0.264998
2021-09-15 10:18:10.338962 : Epoch  3, Batch   1310, Loss  0.872962, Average Loss  0.870589, Time  0.264674
2021-09-15 10:18:13.323108 : Epoch  3, Batch   1311, Loss  0.867794, Average Loss  0.870614, Time  0.265363
2021-09-15 10:18:16.327345 : Epoch  3, Batch   1312, Loss  0.876212, Average Loss  0.870574, Time  0.264554
2021-09-15 10:18:19.317941 : Epoch  3, Batch   1313, Loss  0.856069, Average Loss  0.870554, Time  0.264519
2021-09-15 10:18:22.303454 : Epoch  3, Batch   1314, Loss  0.877068, Average Loss  0.870643, Time  0.264750
2021-09-15 10:18:25.307962 : Epoch  3, Batch   1315, Loss  0.870358, Average Loss  0.870672, Time  0.276352
2021-09-15 10:18:28.300527 : Epoch  3, Batch   1316, Loss  0.871851, Average Loss  0.870776, Time  0.264973
2021-09-15 10:18:31.321209 : Epoch  3, Batch   1317, Loss  0.853736, Average Loss  0.870626, Time  0.265254
2021-09-15 10:18:34.316182 : Epoch  3, Batch   1318, Loss  0.837414, Average Loss  0.870516, Time  0.264118
2021-09-15 10:18:37.307578 : Epoch  3, Batch   1319, Loss  0.884709, Average Loss  0.870633, Time  0.267436
2021-09-15 10:18:40.323501 : Epoch  3, Batch   1320, Loss  0.870540, Average Loss  0.870576, Time  0.266168
2021-09-15 10:18:43.341401 : Epoch  3, Batch   1321, Loss  0.887129, Average Loss  0.870558, Time  0.266533
2021-09-15 10:18:46.367885 : Epoch  3, Batch   1322, Loss  0.856738, Average Loss  0.870493, Time  0.265835
2021-09-15 10:18:49.350931 : Epoch  3, Batch   1323, Loss  0.859565, Average Loss  0.870376, Time  0.264278
2021-09-15 10:18:52.343339 : Epoch  3, Batch   1324, Loss  0.865881, Average Loss  0.870317, Time  0.264766
2021-09-15 10:18:55.342698 : Epoch  3, Batch   1325, Loss  0.855512, Average Loss  0.870195, Time  0.264847
2021-09-15 10:18:58.326844 : Epoch  3, Batch   1326, Loss  0.889156, Average Loss  0.870292, Time  0.264392
2021-09-15 10:19:01.322887 : Epoch  3, Batch   1327, Loss  0.903298, Average Loss  0.870486, Time  0.265019
2021-09-15 10:19:04.340406 : Epoch  3, Batch   1328, Loss  0.869824, Average Loss  0.870383, Time  0.266411
2021-09-15 10:19:07.390070 : Epoch  3, Batch   1329, Loss  0.886219, Average Loss  0.870655, Time  0.265302
2021-09-15 10:19:10.434260 : Epoch  3, Batch   1330, Loss  0.863809, Average Loss  0.870663, Time  0.275157
2021-09-15 10:19:13.459292 : Epoch  3, Batch   1331, Loss  0.879382, Average Loss  0.870725, Time  0.266250
2021-09-15 10:19:16.518143 : Epoch  3, Batch   1332, Loss  0.859869, Average Loss  0.870694, Time  0.264826
2021-09-15 10:19:19.539554 : Epoch  3, Batch   1333, Loss  0.856039, Average Loss  0.870524, Time  0.265983
2021-09-15 10:19:22.560673 : Epoch  3, Batch   1334, Loss  0.853874, Average Loss  0.870512, Time  0.265095
2021-09-15 10:19:25.575624 : Epoch  3, Batch   1335, Loss  0.875430, Average Loss  0.870521, Time  0.265508
2021-09-15 10:19:28.577339 : Epoch  3, Batch   1336, Loss  0.867023, Average Loss  0.870473, Time  0.263924
2021-09-15 10:19:31.580048 : Epoch  3, Batch   1337, Loss  0.845785, Average Loss  0.870406, Time  0.266260
2021-09-15 10:19:34.618566 : Epoch  3, Batch   1338, Loss  0.863212, Average Loss  0.870401, Time  0.265136
2021-09-15 10:19:37.628950 : Epoch  3, Batch   1339, Loss  0.897865, Average Loss  0.870623, Time  0.266054
2021-09-15 10:19:40.677449 : Epoch  3, Batch   1340, Loss  0.879093, Average Loss  0.870714, Time  0.265982
2021-09-15 10:19:43.685841 : Epoch  3, Batch   1341, Loss  0.874294, Average Loss  0.870678, Time  0.265723
2021-09-15 10:19:46.692690 : Epoch  3, Batch   1342, Loss  0.872703, Average Loss  0.870659, Time  0.265599
2021-09-15 10:19:49.704776 : Epoch  3, Batch   1343, Loss  0.875159, Average Loss  0.870722, Time  0.264791
2021-09-15 10:19:52.707728 : Epoch  3, Batch   1344, Loss  0.852371, Average Loss  0.870618, Time  0.264890
2021-09-15 10:19:55.730976 : Epoch  3, Batch   1345, Loss  0.860629, Average Loss  0.870512, Time  0.275850
2021-09-15 10:19:58.745915 : Epoch  3, Batch   1346, Loss  0.856219, Average Loss  0.870456, Time  0.266791
2021-09-15 10:20:01.754362 : Epoch  3, Batch   1347, Loss  0.874321, Average Loss  0.870475, Time  0.264224
2021-09-15 10:20:04.773484 : Epoch  3, Batch   1348, Loss  0.867577, Average Loss  0.870408, Time  0.265543
2021-09-15 10:20:07.788284 : Epoch  3, Batch   1349, Loss  0.885520, Average Loss  0.870433, Time  0.265353
2021-09-15 10:20:10.828108 : Epoch  3, Batch   1350, Loss  0.866302, Average Loss  0.870328, Time  0.265991
2021-09-15 10:20:13.842160 : Epoch  3, Batch   1351, Loss  0.848215, Average Loss  0.870059, Time  0.264428
2021-09-15 10:20:16.872082 : Epoch  3, Batch   1352, Loss  0.887737, Average Loss  0.870151, Time  0.264970
2021-09-15 10:20:19.890556 : Epoch  3, Batch   1353, Loss  0.882687, Average Loss  0.870057, Time  0.265383
2021-09-15 10:20:22.911009 : Epoch  3, Batch   1354, Loss  0.843138, Average Loss  0.869941, Time  0.264556
2021-09-15 10:20:25.925930 : Epoch  3, Batch   1355, Loss  0.866695, Average Loss  0.869883, Time  0.264361
2021-09-15 10:20:28.933887 : Epoch  3, Batch   1356, Loss  0.869326, Average Loss  0.869799, Time  0.266293
2021-09-15 10:20:31.934894 : Epoch  3, Batch   1357, Loss  0.868034, Average Loss  0.869786, Time  0.266331
2021-09-15 10:20:34.937034 : Epoch  3, Batch   1358, Loss  0.852234, Average Loss  0.869681, Time  0.264982
2021-09-15 10:20:37.933101 : Epoch  3, Batch   1359, Loss  0.852597, Average Loss  0.869689, Time  0.265901
2021-09-15 10:20:40.988343 : Epoch  3, Batch   1360, Loss  0.866754, Average Loss  0.869701, Time  0.278342
2021-09-15 10:20:43.996303 : Epoch  3, Batch   1361, Loss  0.872666, Average Loss  0.869792, Time  0.265884
2021-09-15 10:20:47.037609 : Epoch  3, Batch   1362, Loss  0.846630, Average Loss  0.869701, Time  0.265518
2021-09-15 10:20:50.076665 : Epoch  3, Batch   1363, Loss  0.869952, Average Loss  0.869720, Time  0.265161
2021-09-15 10:20:53.098509 : Epoch  3, Batch   1364, Loss  0.876702, Average Loss  0.869656, Time  0.266031
2021-09-15 10:20:56.100818 : Epoch  3, Batch   1365, Loss  0.880298, Average Loss  0.869632, Time  0.264248
2021-09-15 10:20:59.092906 : Epoch  3, Batch   1366, Loss  0.853901, Average Loss  0.869583, Time  0.265368
2021-09-15 10:21:02.083281 : Epoch  3, Batch   1367, Loss  0.885921, Average Loss  0.869686, Time  0.264320
2021-09-15 10:21:05.091769 : Epoch  3, Batch   1368, Loss  0.865897, Average Loss  0.869579, Time  0.265253
2021-09-15 10:21:08.100759 : Epoch  3, Batch   1369, Loss  0.874380, Average Loss  0.869573, Time  0.264728
2021-09-15 10:21:11.102672 : Epoch  3, Batch   1370, Loss  0.873810, Average Loss  0.869598, Time  0.265513
2021-09-15 10:21:14.142357 : Epoch  3, Batch   1371, Loss  0.876334, Average Loss  0.869689, Time  0.264718
2021-09-15 10:21:17.183481 : Epoch  3, Batch   1372, Loss  0.885652, Average Loss  0.869854, Time  0.265570
2021-09-15 10:21:20.211640 : Epoch  3, Batch   1373, Loss  0.896567, Average Loss  0.870000, Time  0.265279
2021-09-15 10:21:23.205068 : Epoch  3, Batch   1374, Loss  0.876887, Average Loss  0.870140, Time  0.265440
2021-09-15 10:21:26.246702 : Epoch  3, Batch   1375, Loss  0.861628, Average Loss  0.870068, Time  0.278355
2021-09-15 10:21:29.269493 : Epoch  3, Batch   1376, Loss  0.863185, Average Loss  0.870008, Time  0.266238
2021-09-15 10:21:32.313852 : Epoch  3, Batch   1377, Loss  0.888887, Average Loss  0.870059, Time  0.267344
2021-09-15 10:21:35.325631 : Epoch  3, Batch   1378, Loss  0.880416, Average Loss  0.870167, Time  0.264704
2021-09-15 10:21:38.335229 : Epoch  3, Batch   1379, Loss  0.876010, Average Loss  0.870250, Time  0.265652
2021-09-15 10:21:41.351720 : Epoch  3, Batch   1380, Loss  0.875719, Average Loss  0.870287, Time  0.265165
2021-09-15 10:21:44.346966 : Epoch  3, Batch   1381, Loss  0.873677, Average Loss  0.870225, Time  0.264612
2021-09-15 10:21:47.356153 : Epoch  3, Batch   1382, Loss  0.865937, Average Loss  0.870285, Time  0.266558
2021-09-15 10:21:50.358395 : Epoch  3, Batch   1383, Loss  0.848346, Average Loss  0.870246, Time  0.264950
2021-09-15 10:21:53.384517 : Epoch  3, Batch   1384, Loss  0.839102, Average Loss  0.869889, Time  0.264724
2021-09-15 10:21:56.384291 : Epoch  3, Batch   1385, Loss  0.877810, Average Loss  0.869909, Time  0.265026
2021-09-15 10:21:59.375250 : Epoch  3, Batch   1386, Loss  0.882036, Average Loss  0.869967, Time  0.265074
2021-09-15 10:22:02.416273 : Epoch  3, Batch   1387, Loss  0.849123, Average Loss  0.869769, Time  0.266890
2021-09-15 10:22:05.478218 : Epoch  3, Batch   1388, Loss  0.877347, Average Loss  0.869851, Time  0.264570
2021-09-15 10:26:45.274986 : CheckPoint: Validation Loss  0.00030940, Best Loss  0.00029236
2021-09-15 10:26:48.273231 : Epoch  3, Batch   1389, Loss  0.857896, Average Loss  0.869831, Time  0.266748
2021-09-15 10:26:51.301676 : Epoch  3, Batch   1390, Loss  0.857040, Average Loss  0.869755, Time  0.279460
2021-09-15 10:26:54.323151 : Epoch  3, Batch   1391, Loss  0.869436, Average Loss  0.869755, Time  0.266479
2021-09-15 10:26:57.349180 : Epoch  3, Batch   1392, Loss  0.885725, Average Loss  0.869753, Time  0.264402
2021-09-15 10:27:00.355643 : Epoch  3, Batch   1393, Loss  0.877476, Average Loss  0.869712, Time  0.264982
2021-09-15 10:27:03.356086 : Epoch  3, Batch   1394, Loss  0.870422, Average Loss  0.869785, Time  0.265300
2021-09-15 10:27:06.354675 : Epoch  3, Batch   1395, Loss  0.866913, Average Loss  0.869732, Time  0.264912
2021-09-15 10:27:09.347292 : Epoch  3, Batch   1396, Loss  0.869233, Average Loss  0.869760, Time  0.264479
2021-09-15 10:27:12.362655 : Epoch  3, Batch   1397, Loss  0.858641, Average Loss  0.869649, Time  0.265123
2021-09-15 10:27:15.347363 : Epoch  3, Batch   1398, Loss  0.855773, Average Loss  0.869473, Time  0.266617
2021-09-15 10:27:18.354500 : Epoch  3, Batch   1399, Loss  0.862806, Average Loss  0.869435, Time  0.264738
2021-09-15 10:27:21.384718 : Epoch  3, Batch   1400, Loss  0.850320, Average Loss  0.869318, Time  0.265521
2021-09-15 10:27:24.421896 : Epoch  3, Batch   1401, Loss  0.876532, Average Loss  0.869317, Time  0.265448
2021-09-15 10:27:27.444753 : Epoch  3, Batch   1402, Loss  0.875637, Average Loss  0.869336, Time  0.265488
2021-09-15 10:27:30.453412 : Epoch  3, Batch   1403, Loss  0.868009, Average Loss  0.869326, Time  0.265008
2021-09-15 10:27:33.459497 : Epoch  3, Batch   1404, Loss  0.847985, Average Loss  0.869189, Time  0.264791
2021-09-15 10:27:36.509633 : Epoch  3, Batch   1405, Loss  0.867942, Average Loss  0.869138, Time  0.275900
2021-09-15 10:27:39.496020 : Epoch  3, Batch   1406, Loss  0.855345, Average Loss  0.869027, Time  0.265315
2021-09-15 10:27:42.510394 : Epoch  3, Batch   1407, Loss  0.860906, Average Loss  0.868995, Time  0.265281
2021-09-15 10:27:45.544340 : Epoch  3, Batch   1408, Loss  0.880318, Average Loss  0.869014, Time  0.264615
2021-09-15 10:27:48.542665 : Epoch  3, Batch   1409, Loss  0.863967, Average Loss  0.868842, Time  0.265121
2021-09-15 10:27:51.533479 : Epoch  3, Batch   1410, Loss  0.879920, Average Loss  0.868807, Time  0.266919
2021-09-15 10:27:54.548848 : Epoch  3, Batch   1411, Loss  0.858099, Average Loss  0.868857, Time  0.265627
2021-09-15 10:27:57.550811 : Epoch  3, Batch   1412, Loss  0.859979, Average Loss  0.868836, Time  0.264842
2021-09-15 10:28:00.585464 : Epoch  3, Batch   1413, Loss  0.847264, Average Loss  0.868850, Time  0.264469
2021-09-15 10:28:03.594852 : Epoch  3, Batch   1414, Loss  0.858819, Average Loss  0.868881, Time  0.264985
2021-09-15 10:28:06.612791 : Epoch  3, Batch   1415, Loss  0.881682, Average Loss  0.868939, Time  0.266360
2021-09-15 10:28:09.621777 : Epoch  3, Batch   1416, Loss  0.853327, Average Loss  0.868889, Time  0.264885
2021-09-15 10:28:12.659766 : Epoch  3, Batch   1417, Loss  0.871605, Average Loss  0.868862, Time  0.264742
2021-09-15 10:28:15.672354 : Epoch  3, Batch   1418, Loss  0.850813, Average Loss  0.868874, Time  0.266409
2021-09-15 10:28:18.709473 : Epoch  3, Batch   1419, Loss  0.867093, Average Loss  0.868937, Time  0.266043
2021-09-15 10:28:21.754146 : Epoch  3, Batch   1420, Loss  0.872740, Average Loss  0.868938, Time  0.277898
2021-09-15 10:28:24.765991 : Epoch  3, Batch   1421, Loss  0.870062, Average Loss  0.868913, Time  0.266294
2021-09-15 10:28:27.786047 : Epoch  3, Batch   1422, Loss  0.864675, Average Loss  0.868900, Time  0.265723
2021-09-15 10:28:30.807627 : Epoch  3, Batch   1423, Loss  0.893980, Average Loss  0.869031, Time  0.265293
2021-09-15 10:28:33.815074 : Epoch  3, Batch   1424, Loss  0.896401, Average Loss  0.869152, Time  0.264748
2021-09-15 10:28:36.885556 : Epoch  3, Batch   1425, Loss  0.858284, Average Loss  0.869150, Time  0.264904
2021-09-15 10:28:39.872306 : Epoch  3, Batch   1426, Loss  0.880833, Average Loss  0.869143, Time  0.265339
2021-09-15 10:28:42.877967 : Epoch  3, Batch   1427, Loss  0.878839, Average Loss  0.869184, Time  0.265349
2021-09-15 10:28:45.924570 : Epoch  3, Batch   1428, Loss  0.872467, Average Loss  0.869258, Time  0.264492
2021-09-15 10:28:48.956525 : Epoch  3, Batch   1429, Loss  0.864947, Average Loss  0.869250, Time  0.265357
2021-09-15 10:28:52.002577 : Epoch  3, Batch   1430, Loss  0.874329, Average Loss  0.869236, Time  0.265142
2021-09-15 10:28:55.037292 : Epoch  3, Batch   1431, Loss  0.870234, Average Loss  0.869181, Time  0.265371
2021-09-15 10:28:58.082336 : Epoch  3, Batch   1432, Loss  0.870961, Average Loss  0.869206, Time  0.265376
2021-09-15 10:29:01.098085 : Epoch  3, Batch   1433, Loss  0.878439, Average Loss  0.869164, Time  0.264089
2021-09-15 10:29:04.121089 : Epoch  3, Batch   1434, Loss  0.877095, Average Loss  0.869120, Time  0.265722
2021-09-15 10:29:07.173767 : Epoch  3, Batch   1435, Loss  0.885470, Average Loss  0.869164, Time  0.278469
2021-09-15 10:29:10.187078 : Epoch  3, Batch   1436, Loss  0.895596, Average Loss  0.869335, Time  0.265146
2021-09-15 10:29:13.198391 : Epoch  3, Batch   1437, Loss  0.852819, Average Loss  0.869248, Time  0.264547
2021-09-15 10:29:16.225079 : Epoch  3, Batch   1438, Loss  0.861122, Average Loss  0.869269, Time  0.266111
2021-09-15 10:29:19.242640 : Epoch  3, Batch   1439, Loss  0.876485, Average Loss  0.869355, Time  0.265482
2021-09-15 10:29:22.248391 : Epoch  3, Batch   1440, Loss  0.862983, Average Loss  0.869347, Time  0.264922
2021-09-15 10:29:25.247948 : Epoch  3, Batch   1441, Loss  0.861436, Average Loss  0.869259, Time  0.265396
2021-09-15 10:29:28.277695 : Epoch  3, Batch   1442, Loss  0.868177, Average Loss  0.869273, Time  0.265491
2021-09-15 10:29:31.277172 : Epoch  3, Batch   1443, Loss  0.863634, Average Loss  0.869141, Time  0.264583
2021-09-15 10:29:34.272153 : Epoch  3, Batch   1444, Loss  0.893193, Average Loss  0.869342, Time  0.264170
2021-09-15 10:29:37.269257 : Epoch  3, Batch   1445, Loss  0.875679, Average Loss  0.869257, Time  0.263515
2021-09-15 10:29:40.287040 : Epoch  3, Batch   1446, Loss  0.858032, Average Loss  0.869200, Time  0.265756
2021-09-15 10:29:43.317967 : Epoch  3, Batch   1447, Loss  0.869447, Average Loss  0.869162, Time  0.266956
2021-09-15 10:29:46.327870 : Epoch  3, Batch   1448, Loss  0.900771, Average Loss  0.869247, Time  0.266168
2021-09-15 10:29:49.374860 : Epoch  3, Batch   1449, Loss  0.870125, Average Loss  0.869245, Time  0.267348
2021-09-15 10:29:52.410021 : Epoch  3, Batch   1450, Loss  0.863976, Average Loss  0.869221, Time  0.276288
2021-09-15 10:29:55.429689 : Epoch  3, Batch   1451, Loss  0.875720, Average Loss  0.869182, Time  0.266197
2021-09-15 10:29:58.467696 : Epoch  3, Batch   1452, Loss  0.872250, Average Loss  0.869303, Time  0.265396
2021-09-15 10:30:01.522155 : Epoch  3, Batch   1453, Loss  0.874378, Average Loss  0.869246, Time  0.267967
2021-09-15 10:30:04.561310 : Epoch  3, Batch   1454, Loss  0.858296, Average Loss  0.869181, Time  0.265570
2021-09-15 10:30:07.567074 : Epoch  3, Batch   1455, Loss  0.874026, Average Loss  0.869171, Time  0.264658
2021-09-15 10:30:10.580421 : Epoch  3, Batch   1456, Loss  0.878232, Average Loss  0.869240, Time  0.264560
2021-09-15 10:30:13.589463 : Epoch  3, Batch   1457, Loss  0.856510, Average Loss  0.869183, Time  0.265313
2021-09-15 10:30:16.593002 : Epoch  3, Batch   1458, Loss  0.855296, Average Loss  0.869107, Time  0.264366
2021-09-15 10:30:19.601799 : Epoch  3, Batch   1459, Loss  0.865121, Average Loss  0.869163, Time  0.266726
2021-09-15 10:30:22.613919 : Epoch  3, Batch   1460, Loss  0.865365, Average Loss  0.869128, Time  0.266606
2021-09-15 10:30:25.622981 : Epoch  3, Batch   1461, Loss  0.876590, Average Loss  0.869145, Time  0.265910
2021-09-15 10:30:28.677031 : Epoch  3, Batch   1462, Loss  0.886006, Average Loss  0.869306, Time  0.264555
2021-09-15 10:30:31.686031 : Epoch  3, Batch   1463, Loss  0.865855, Average Loss  0.869251, Time  0.264577
2021-09-15 10:30:34.694085 : Epoch  3, Batch   1464, Loss  0.863633, Average Loss  0.869229, Time  0.265284
2021-09-15 10:30:37.712799 : Epoch  3, Batch   1465, Loss  0.855628, Average Loss  0.869214, Time  0.272201
2021-09-15 10:30:40.737664 : Epoch  3, Batch   1466, Loss  0.882522, Average Loss  0.869321, Time  0.264455
2021-09-15 10:30:43.765565 : Epoch  3, Batch   1467, Loss  0.858062, Average Loss  0.869329, Time  0.265806
2021-09-15 10:30:46.786412 : Epoch  3, Batch   1468, Loss  0.862633, Average Loss  0.869316, Time  0.264584
2021-09-15 10:30:49.782680 : Epoch  3, Batch   1469, Loss  0.868354, Average Loss  0.869353, Time  0.264291
2021-09-15 10:30:52.815902 : Epoch  3, Batch   1470, Loss  0.868143, Average Loss  0.869352, Time  0.264789
2021-09-15 10:30:55.820298 : Epoch  3, Batch   1471, Loss  0.873988, Average Loss  0.869416, Time  0.266412
2021-09-15 10:30:58.830653 : Epoch  3, Batch   1472, Loss  0.862762, Average Loss  0.869457, Time  0.265996
2021-09-15 10:31:01.857660 : Epoch  3, Batch   1473, Loss  0.878339, Average Loss  0.869460, Time  0.265253
2021-09-15 10:31:04.861707 : Epoch  3, Batch   1474, Loss  0.871388, Average Loss  0.869416, Time  0.263441
2021-09-15 10:31:07.874303 : Epoch  3, Batch   1475, Loss  0.854139, Average Loss  0.869362, Time  0.265861
2021-09-15 10:31:10.899056 : Epoch  3, Batch   1476, Loss  0.868569, Average Loss  0.869289, Time  0.265686
2021-09-15 10:31:13.904053 : Epoch  3, Batch   1477, Loss  0.854133, Average Loss  0.869252, Time  0.265045
2021-09-15 10:31:16.914887 : Epoch  3, Batch   1478, Loss  0.890723, Average Loss  0.869330, Time  0.264227
2021-09-15 10:31:19.919973 : Epoch  3, Batch   1479, Loss  0.853814, Average Loss  0.869298, Time  0.265401
2021-09-15 10:31:22.936846 : Epoch  3, Batch   1480, Loss  0.884608, Average Loss  0.869410, Time  0.277450
2021-09-15 10:31:25.971554 : Epoch  3, Batch   1481, Loss  0.865769, Average Loss  0.869433, Time  0.265301
2021-09-15 10:31:28.978342 : Epoch  3, Batch   1482, Loss  0.886872, Average Loss  0.869520, Time  0.264176
2021-09-15 10:31:31.995234 : Epoch  3, Batch   1483, Loss  0.869574, Average Loss  0.869506, Time  0.264522
2021-09-15 10:31:35.002156 : Epoch  3, Batch   1484, Loss  0.873092, Average Loss  0.869490, Time  0.265032
2021-09-15 10:31:37.991733 : Epoch  3, Batch   1485, Loss  0.875662, Average Loss  0.869531, Time  0.264352
2021-09-15 10:31:41.030482 : Epoch  3, Batch   1486, Loss  0.871343, Average Loss  0.869550, Time  0.264846
2021-09-15 10:31:44.034243 : Epoch  3, Batch   1487, Loss  0.876053, Average Loss  0.869526, Time  0.264900
2021-09-15 10:31:47.033715 : Epoch  3, Batch   1488, Loss  0.863713, Average Loss  0.869475, Time  0.264564
2021-09-15 10:36:26.739440 : CheckPoint: Validation Loss  0.00031253, Best Loss  0.00029236
2021-09-15 10:36:29.722894 : Epoch  3, Batch   1489, Loss  0.877986, Average Loss  0.869406, Time  0.266543
2021-09-15 10:36:32.718338 : Epoch  3, Batch   1490, Loss  0.858857, Average Loss  0.869362, Time  0.265803
2021-09-15 10:36:35.735839 : Epoch  3, Batch   1491, Loss  0.865701, Average Loss  0.869343, Time  0.264759
2021-09-15 10:36:38.757431 : Epoch  3, Batch   1492, Loss  0.899530, Average Loss  0.869391, Time  0.266365
2021-09-15 10:36:41.757975 : Epoch  3, Batch   1493, Loss  0.888350, Average Loss  0.869515, Time  0.265085
2021-09-15 10:36:44.741505 : Epoch  3, Batch   1494, Loss  0.875142, Average Loss  0.869605, Time  0.264551
2021-09-15 10:36:47.802332 : Epoch  3, Batch   1495, Loss  0.868958, Average Loss  0.869569, Time  0.278305
2021-09-15 10:36:50.820970 : Epoch  3, Batch   1496, Loss  0.866964, Average Loss  0.869490, Time  0.265832
2021-09-15 10:36:53.837353 : Epoch  3, Batch   1497, Loss  0.862218, Average Loss  0.869354, Time  0.265867
2021-09-15 10:36:56.854689 : Epoch  3, Batch   1498, Loss  0.876086, Average Loss  0.869355, Time  0.264477
2021-09-15 10:36:59.848025 : Epoch  3, Batch   1499, Loss  0.861617, Average Loss  0.869202, Time  0.265189
2021-09-15 10:37:02.877301 : Epoch  3, Batch   1500, Loss  0.862022, Average Loss  0.869139, Time  0.265780
2021-09-15 10:37:05.914075 : Epoch  3, Batch   1501, Loss  0.858491, Average Loss  0.869111, Time  0.266094
2021-09-15 10:37:08.941731 : Epoch  3, Batch   1502, Loss  0.888860, Average Loss  0.869155, Time  0.265031
2021-09-15 10:37:11.979792 : Epoch  3, Batch   1503, Loss  0.885089, Average Loss  0.869275, Time  0.265257
2021-09-15 10:37:14.996315 : Epoch  3, Batch   1504, Loss  0.870328, Average Loss  0.869352, Time  0.265376
2021-09-15 10:37:18.024735 : Epoch  3, Batch   1505, Loss  0.876410, Average Loss  0.869488, Time  0.265069
2021-09-15 10:37:21.018280 : Epoch  3, Batch   1506, Loss  0.853977, Average Loss  0.869442, Time  0.265332
2021-09-15 10:37:24.037078 : Epoch  3, Batch   1507, Loss  0.894699, Average Loss  0.869438, Time  0.266386
2021-09-15 10:37:27.033461 : Epoch  3, Batch   1508, Loss  0.876193, Average Loss  0.869581, Time  0.264266
2021-09-15 10:37:30.029199 : Epoch  3, Batch   1509, Loss  0.865860, Average Loss  0.869657, Time  0.265140
2021-09-15 10:37:33.080917 : Epoch  3, Batch   1510, Loss  0.878263, Average Loss  0.869684, Time  0.278271
2021-09-15 10:37:36.119872 : Epoch  3, Batch   1511, Loss  0.859744, Average Loss  0.869643, Time  0.267051
2021-09-15 10:37:39.127022 : Epoch  3, Batch   1512, Loss  0.855710, Average Loss  0.869541, Time  0.265844
2021-09-15 10:37:42.136462 : Epoch  3, Batch   1513, Loss  0.868596, Average Loss  0.869603, Time  0.266295
2021-09-15 10:37:45.150981 : Epoch  3, Batch   1514, Loss  0.858851, Average Loss  0.869512, Time  0.264550
2021-09-15 10:37:48.172075 : Epoch  3, Batch   1515, Loss  0.857014, Average Loss  0.869446, Time  0.265443
2021-09-15 10:37:51.200032 : Epoch  3, Batch   1516, Loss  0.847849, Average Loss  0.869326, Time  0.264511
2021-09-15 10:37:54.208330 : Epoch  3, Batch   1517, Loss  0.866167, Average Loss  0.869388, Time  0.264746
2021-09-15 10:37:57.210364 : Epoch  3, Batch   1518, Loss  0.859174, Average Loss  0.869497, Time  0.264461
2021-09-15 10:38:00.217672 : Epoch  3, Batch   1519, Loss  0.873212, Average Loss  0.869439, Time  0.264119
2021-09-15 10:38:03.208710 : Epoch  3, Batch   1520, Loss  0.860950, Average Loss  0.869391, Time  0.264701
2021-09-15 10:38:06.237784 : Epoch  3, Batch   1521, Loss  0.880026, Average Loss  0.869356, Time  0.265616
2021-09-15 10:38:09.236190 : Epoch  3, Batch   1522, Loss  0.852791, Average Loss  0.869336, Time  0.265057
2021-09-15 10:38:12.234654 : Epoch  3, Batch   1523, Loss  0.858016, Average Loss  0.869328, Time  0.264938
2021-09-15 10:38:15.232535 : Epoch  3, Batch   1524, Loss  0.857563, Average Loss  0.869287, Time  0.264256
2021-09-15 10:38:18.235890 : Epoch  3, Batch   1525, Loss  0.868927, Average Loss  0.869354, Time  0.276639
2021-09-15 10:38:21.229511 : Epoch  3, Batch   1526, Loss  0.883301, Average Loss  0.869324, Time  0.264805
2021-09-15 10:38:24.231379 : Epoch  3, Batch   1527, Loss  0.888923, Average Loss  0.869252, Time  0.264475
2021-09-15 10:38:27.243605 : Epoch  3, Batch   1528, Loss  0.878473, Average Loss  0.869296, Time  0.264241
2021-09-15 10:38:30.269260 : Epoch  3, Batch   1529, Loss  0.888046, Average Loss  0.869305, Time  0.263704
2021-09-15 10:38:33.279761 : Epoch  3, Batch   1530, Loss  0.869472, Average Loss  0.869333, Time  0.264676
2021-09-15 10:38:36.286361 : Epoch  3, Batch   1531, Loss  0.859166, Average Loss  0.869232, Time  0.267058
2021-09-15 10:38:39.323715 : Epoch  3, Batch   1532, Loss  0.853089, Average Loss  0.869198, Time  0.265444
2021-09-15 10:38:42.330196 : Epoch  3, Batch   1533, Loss  0.877849, Average Loss  0.869307, Time  0.264846
2021-09-15 10:38:45.339003 : Epoch  3, Batch   1534, Loss  0.875514, Average Loss  0.869415, Time  0.265541
2021-09-15 10:38:48.383624 : Epoch  3, Batch   1535, Loss  0.905698, Average Loss  0.869567, Time  0.265873
2021-09-15 10:38:51.383476 : Epoch  3, Batch   1536, Loss  0.856116, Average Loss  0.869512, Time  0.264281
2021-09-15 10:38:54.416885 : Epoch  3, Batch   1537, Loss  0.871619, Average Loss  0.869641, Time  0.264776
2021-09-15 10:38:57.442578 : Epoch  3, Batch   1538, Loss  0.843260, Average Loss  0.869542, Time  0.265478
2021-09-15 10:39:00.492537 : Epoch  3, Batch   1539, Loss  0.868547, Average Loss  0.869395, Time  0.266326
2021-09-15 10:39:03.574901 : Epoch  3, Batch   1540, Loss  0.857322, Average Loss  0.869286, Time  0.272871
2021-09-15 10:39:06.530711 : Epoch  3, Batch   1541, Loss  0.858507, Average Loss  0.869207, Time  0.263227
2021-09-15 10:39:09.542375 : Epoch  3, Batch   1542, Loss  0.863319, Average Loss  0.869160, Time  0.264718
2021-09-15 10:39:12.540707 : Epoch  3, Batch   1543, Loss  0.867241, Average Loss  0.869121, Time  0.264649
2021-09-15 10:39:15.584939 : Epoch  3, Batch   1544, Loss  0.868205, Average Loss  0.869200, Time  0.265473
2021-09-15 10:39:18.628007 : Epoch  3, Batch   1545, Loss  0.854711, Average Loss  0.869170, Time  0.265659
2021-09-15 10:39:21.656117 : Epoch  3, Batch   1546, Loss  0.857672, Average Loss  0.869178, Time  0.265480
2021-09-15 10:39:24.675382 : Epoch  3, Batch   1547, Loss  0.878472, Average Loss  0.869198, Time  0.266188
2021-09-15 10:39:27.691183 : Epoch  3, Batch   1548, Loss  0.862693, Average Loss  0.869174, Time  0.264913
2021-09-15 10:39:30.695619 : Epoch  3, Batch   1549, Loss  0.853772, Average Loss  0.869015, Time  0.264452
2021-09-15 10:39:33.767238 : Epoch  3, Batch   1550, Loss  0.854872, Average Loss  0.868958, Time  0.267763
2021-09-15 10:39:36.803678 : Epoch  3, Batch   1551, Loss  0.870290, Average Loss  0.869068, Time  0.265445
2021-09-15 10:39:39.842440 : Epoch  3, Batch   1552, Loss  0.864621, Average Loss  0.868953, Time  0.265181
2021-09-15 10:39:42.842288 : Epoch  3, Batch   1553, Loss  0.856274, Average Loss  0.868821, Time  0.265242
2021-09-15 10:39:45.873024 : Epoch  3, Batch   1554, Loss  0.872288, Average Loss  0.868966, Time  0.265757
2021-09-15 10:39:48.929943 : Epoch  3, Batch   1555, Loss  0.853402, Average Loss  0.868900, Time  0.278843
2021-09-15 10:39:51.965560 : Epoch  3, Batch   1556, Loss  0.845662, Average Loss  0.868782, Time  0.265306
2021-09-15 10:39:55.020539 : Epoch  3, Batch   1557, Loss  0.856641, Average Loss  0.868725, Time  0.264822
2021-09-15 10:39:58.054006 : Epoch  3, Batch   1558, Loss  0.888812, Average Loss  0.868908, Time  0.265661
2021-09-15 10:40:01.116187 : Epoch  3, Batch   1559, Loss  0.869775, Average Loss  0.868994, Time  0.266276
2021-09-15 10:40:04.111791 : Epoch  3, Batch   1560, Loss  0.874077, Average Loss  0.869030, Time  0.264710
2021-09-15 10:40:07.138998 : Epoch  3, Batch   1561, Loss  0.856928, Average Loss  0.868951, Time  0.265721
2021-09-15 10:40:10.177653 : Epoch  3, Batch   1562, Loss  0.858302, Average Loss  0.869010, Time  0.265312
2021-09-15 10:40:13.178861 : Epoch  3, Batch   1563, Loss  0.862542, Average Loss  0.868973, Time  0.264578
2021-09-15 10:40:16.181722 : Epoch  3, Batch   1564, Loss  0.872638, Average Loss  0.868952, Time  0.264157
2021-09-15 10:40:19.196501 : Epoch  3, Batch   1565, Loss  0.874272, Average Loss  0.868922, Time  0.264993
2021-09-15 10:40:22.202622 : Epoch  3, Batch   1566, Loss  0.897508, Average Loss  0.869140, Time  0.264918
2021-09-15 10:40:25.223409 : Epoch  3, Batch   1567, Loss  0.882097, Average Loss  0.869121, Time  0.264282
2021-09-15 10:40:28.265713 : Epoch  3, Batch   1568, Loss  0.870997, Average Loss  0.869147, Time  0.265293
2021-09-15 10:40:31.287390 : Epoch  3, Batch   1569, Loss  0.873216, Average Loss  0.869141, Time  0.264668
2021-09-15 10:40:34.298169 : Epoch  3, Batch   1570, Loss  0.874792, Average Loss  0.869146, Time  0.279141
2021-09-15 10:40:37.332418 : Epoch  3, Batch   1571, Loss  0.900183, Average Loss  0.869265, Time  0.264528
2021-09-15 10:40:40.392238 : Epoch  3, Batch   1572, Loss  0.859326, Average Loss  0.869133, Time  0.267861
2021-09-15 10:40:43.467943 : Epoch  3, Batch   1573, Loss  0.879849, Average Loss  0.869050, Time  0.265465
2021-09-15 10:40:46.502451 : Epoch  3, Batch   1574, Loss  0.896413, Average Loss  0.869147, Time  0.265476
2021-09-15 10:40:49.539661 : Epoch  3, Batch   1575, Loss  0.832307, Average Loss  0.869001, Time  0.265187
2021-09-15 10:40:52.556752 : Epoch  3, Batch   1576, Loss  0.874559, Average Loss  0.869058, Time  0.264573
2021-09-15 10:40:55.585457 : Epoch  3, Batch   1577, Loss  0.856591, Average Loss  0.868896, Time  0.265160
2021-09-15 10:40:58.592507 : Epoch  3, Batch   1578, Loss  0.895337, Average Loss  0.868971, Time  0.264297
2021-09-15 10:41:01.622543 : Epoch  3, Batch   1579, Loss  0.870216, Average Loss  0.868942, Time  0.264333
2021-09-15 10:41:04.653605 : Epoch  3, Batch   1580, Loss  0.886927, Average Loss  0.868998, Time  0.265899
2021-09-15 10:41:07.658159 : Epoch  3, Batch   1581, Loss  0.874319, Average Loss  0.869001, Time  0.264698
2021-09-15 10:41:10.697989 : Epoch  3, Batch   1582, Loss  0.874729, Average Loss  0.869045, Time  0.264781
2021-09-15 10:41:13.705539 : Epoch  3, Batch   1583, Loss  0.884348, Average Loss  0.869225, Time  0.264948
2021-09-15 10:41:16.746542 : Epoch  3, Batch   1584, Loss  0.875083, Average Loss  0.869405, Time  0.265488
2021-09-15 10:41:19.754338 : Epoch  3, Batch   1585, Loss  0.880621, Average Loss  0.869419, Time  0.275070
2021-09-15 10:41:22.764159 : Epoch  3, Batch   1586, Loss  0.872929, Average Loss  0.869374, Time  0.264635
2021-09-15 10:41:25.774027 : Epoch  3, Batch   1587, Loss  0.875280, Average Loss  0.869504, Time  0.265759
2021-09-15 10:41:28.770851 : Epoch  3, Batch   1588, Loss  0.876777, Average Loss  0.869501, Time  0.264821
2021-09-15 10:46:08.408894 : CheckPoint: Validation Loss  0.00029869, Best Loss  0.00029236
2021-09-15 10:46:11.412172 : Epoch  3, Batch   1589, Loss  0.874621, Average Loss  0.869585, Time  0.266700
2021-09-15 10:46:14.440251 : Epoch  3, Batch   1590, Loss  0.874649, Average Loss  0.869673, Time  0.265982
2021-09-15 10:46:17.488900 : Epoch  3, Batch   1591, Loss  0.865287, Average Loss  0.869652, Time  0.266016
2021-09-15 10:46:20.501572 : Epoch  3, Batch   1592, Loss  0.875479, Average Loss  0.869601, Time  0.264923
2021-09-15 10:46:23.512959 : Epoch  3, Batch   1593, Loss  0.870505, Average Loss  0.869566, Time  0.265717
2021-09-15 10:46:26.539922 : Epoch  3, Batch   1594, Loss  0.877189, Average Loss  0.869600, Time  0.264585
2021-09-15 10:46:29.538186 : Epoch  3, Batch   1595, Loss  0.871710, Average Loss  0.869624, Time  0.264482
2021-09-15 10:46:32.550334 : Epoch  3, Batch   1596, Loss  0.868149, Average Loss  0.869619, Time  0.265010
2021-09-15 10:46:35.556790 : Epoch  3, Batch   1597, Loss  0.854902, Average Loss  0.869600, Time  0.265678
2021-09-15 10:46:38.571571 : Epoch  3, Batch   1598, Loss  0.870582, Average Loss  0.869674, Time  0.265461
2021-09-15 10:46:41.628621 : Epoch  3, Batch   1599, Loss  0.892418, Average Loss  0.869822, Time  0.277629
2021-09-15 10:46:44.645408 : Epoch  3, Batch   1600, Loss  0.844280, Average Loss  0.869792, Time  0.265267
2021-09-15 10:46:47.690744 : Epoch  3, Batch   1601, Loss  0.854316, Average Loss  0.869681, Time  0.266691
2021-09-15 10:46:50.708996 : Epoch  3, Batch   1602, Loss  0.883480, Average Loss  0.869720, Time  0.264392
2021-09-15 10:46:53.749150 : Epoch  3, Batch   1603, Loss  0.890527, Average Loss  0.869833, Time  0.264802
2021-09-15 10:46:56.780354 : Epoch  3, Batch   1604, Loss  0.885502, Average Loss  0.870020, Time  0.265402
2021-09-15 10:46:59.827367 : Epoch  3, Batch   1605, Loss  0.873025, Average Loss  0.870046, Time  0.265624
2021-09-15 10:47:02.857883 : Epoch  3, Batch   1606, Loss  0.871060, Average Loss  0.870124, Time  0.266898
2021-09-15 10:47:05.869596 : Epoch  3, Batch   1607, Loss  0.887846, Average Loss  0.870259, Time  0.264997
2021-09-15 10:47:08.888257 : Epoch  3, Batch   1608, Loss  0.873298, Average Loss  0.870224, Time  0.265003
2021-09-15 10:47:11.921857 : Epoch  3, Batch   1609, Loss  0.879409, Average Loss  0.870301, Time  0.265576
2021-09-15 10:47:14.900592 : Epoch  3, Batch   1610, Loss  0.887038, Average Loss  0.870337, Time  0.264421
2021-09-15 10:47:17.922258 : Epoch  3, Batch   1611, Loss  0.870327, Average Loss  0.870398, Time  0.267301
2021-09-15 10:47:20.947620 : Epoch  3, Batch   1612, Loss  0.889936, Average Loss  0.870548, Time  0.265118
2021-09-15 10:47:23.957944 : Epoch  3, Batch   1613, Loss  0.881333, Average Loss  0.870718, Time  0.265656
2021-09-15 10:47:26.982572 : Epoch  3, Batch   1614, Loss  0.850434, Average Loss  0.870676, Time  0.272483
2021-09-15 10:47:29.988281 : Epoch  3, Batch   1615, Loss  0.896142, Average Loss  0.870748, Time  0.266871
2021-09-15 10:47:32.995416 : Epoch  3, Batch   1616, Loss  0.852210, Average Loss  0.870743, Time  0.265016
2021-09-15 10:47:35.999715 : Epoch  3, Batch   1617, Loss  0.881804, Average Loss  0.870794, Time  0.265740
2021-09-15 10:47:39.003424 : Epoch  3, Batch   1618, Loss  0.868069, Average Loss  0.870880, Time  0.264138
2021-09-15 10:47:42.013551 : Epoch  3, Batch   1619, Loss  0.866713, Average Loss  0.870878, Time  0.265213
2021-09-15 10:47:45.054005 : Epoch  3, Batch   1620, Loss  0.865620, Average Loss  0.870842, Time  0.264558
2021-09-15 10:47:48.055308 : Epoch  3, Batch   1621, Loss  0.867500, Average Loss  0.870830, Time  0.265259
2021-09-15 10:47:51.066811 : Epoch  3, Batch   1622, Loss  0.864032, Average Loss  0.870826, Time  0.265115
2021-09-15 10:47:54.066988 : Epoch  3, Batch   1623, Loss  0.870804, Average Loss  0.870711, Time  0.264652
2021-09-15 10:47:57.060700 : Epoch  3, Batch   1624, Loss  0.844755, Average Loss  0.870452, Time  0.264351
2021-09-15 10:48:00.063345 : Epoch  3, Batch   1625, Loss  0.865292, Average Loss  0.870487, Time  0.265224
2021-09-15 10:48:03.099028 : Epoch  3, Batch   1626, Loss  0.874542, Average Loss  0.870456, Time  0.265346
2021-09-15 10:48:06.124493 : Epoch  3, Batch   1627, Loss  0.850888, Average Loss  0.870316, Time  0.265483
2021-09-15 10:48:09.160993 : Epoch  3, Batch   1628, Loss  0.876321, Average Loss  0.870335, Time  0.264994
2021-09-15 10:48:12.214892 : Epoch  3, Batch   1629, Loss  0.868522, Average Loss  0.870353, Time  0.276028
2021-09-15 10:48:15.235046 : Epoch  3, Batch   1630, Loss  0.876360, Average Loss  0.870363, Time  0.265147
2021-09-15 10:48:18.274349 : Epoch  3, Batch   1631, Loss  0.846972, Average Loss  0.870247, Time  0.266199
2021-09-15 10:48:21.280363 : Epoch  3, Batch   1632, Loss  0.858542, Average Loss  0.870185, Time  0.265066
2021-09-15 10:48:24.323808 : Epoch  3, Batch   1633, Loss  0.874314, Average Loss  0.870164, Time  0.267116
2021-09-15 10:48:27.420565 : Epoch  3, Batch   1634, Loss  0.879981, Average Loss  0.870179, Time  0.265395
2021-09-15 10:48:30.472463 : Epoch  3, Batch   1635, Loss  0.907710, Average Loss  0.870290, Time  0.266144
2021-09-15 10:48:33.474040 : Epoch  3, Batch   1636, Loss  0.866970, Average Loss  0.870147, Time  0.264114
2021-09-15 10:48:36.477648 : Epoch  3, Batch   1637, Loss  0.867167, Average Loss  0.870219, Time  0.265586
2021-09-15 10:48:39.478548 : Epoch  3, Batch   1638, Loss  0.860448, Average Loss  0.870215, Time  0.265376
2021-09-15 10:48:42.484712 : Epoch  3, Batch   1639, Loss  0.865055, Average Loss  0.870158, Time  0.264664
2021-09-15 10:48:45.488178 : Epoch  3, Batch   1640, Loss  0.861051, Average Loss  0.870148, Time  0.264523
2021-09-15 10:48:48.509122 : Epoch  3, Batch   1641, Loss  0.871795, Average Loss  0.870200, Time  0.266178
2021-09-15 10:48:51.503688 : Epoch  3, Batch   1642, Loss  0.891652, Average Loss  0.870318, Time  0.264820
2021-09-15 10:48:54.499121 : Epoch  3, Batch   1643, Loss  0.856738, Average Loss  0.870283, Time  0.264818
2021-09-15 10:48:57.543894 : Epoch  3, Batch   1644, Loss  0.862922, Average Loss  0.870132, Time  0.272142
2021-09-15 10:49:00.553711 : Epoch  3, Batch   1645, Loss  0.882613, Average Loss  0.870166, Time  0.264954
2021-09-15 10:49:03.551106 : Epoch  3, Batch   1646, Loss  0.892440, Average Loss  0.870339, Time  0.266064
2021-09-15 10:49:06.584855 : Epoch  3, Batch   1647, Loss  0.870277, Average Loss  0.870343, Time  0.265074
2021-09-15 10:49:09.609542 : Epoch  3, Batch   1648, Loss  0.883870, Average Loss  0.870258, Time  0.264999
2021-09-15 10:49:12.648003 : Epoch  3, Batch   1649, Loss  0.860102, Average Loss  0.870208, Time  0.265344
2021-09-15 10:49:15.732384 : Epoch  3, Batch   1650, Loss  0.871285, Average Loss  0.870245, Time  0.266630
2021-09-15 10:49:18.750905 : Epoch  3, Batch   1651, Loss  0.872058, Average Loss  0.870226, Time  0.265200
2021-09-15 10:49:21.762706 : Epoch  3, Batch   1652, Loss  0.867832, Average Loss  0.870204, Time  0.265985
2021-09-15 10:49:24.737033 : Epoch  3, Batch   1653, Loss  0.865010, Average Loss  0.870157, Time  0.265346
2021-09-15 10:49:27.751995 : Epoch  3, Batch   1654, Loss  0.866038, Average Loss  0.870196, Time  0.265933
2021-09-15 10:49:30.797615 : Epoch  3, Batch   1655, Loss  0.861590, Average Loss  0.870134, Time  0.265696
2021-09-15 10:49:33.819169 : Epoch  3, Batch   1656, Loss  0.877813, Average Loss  0.870132, Time  0.265039
2021-09-15 10:49:36.815511 : Epoch  3, Batch   1657, Loss  0.871185, Average Loss  0.870205, Time  0.264708
2021-09-15 10:49:39.811756 : Epoch  3, Batch   1658, Loss  0.866620, Average Loss  0.870262, Time  0.264928
2021-09-15 10:49:42.817819 : Epoch  3, Batch   1659, Loss  0.879210, Average Loss  0.870332, Time  0.274366
2021-09-15 10:49:45.850429 : Epoch  3, Batch   1660, Loss  0.887827, Average Loss  0.870445, Time  0.264818
2021-09-15 10:49:48.851291 : Epoch  3, Batch   1661, Loss  0.869471, Average Loss  0.870409, Time  0.265296
2021-09-15 10:49:51.858127 : Epoch  3, Batch   1662, Loss  0.910539, Average Loss  0.870532, Time  0.266611
2021-09-15 10:49:54.860979 : Epoch  3, Batch   1663, Loss  0.873314, Average Loss  0.870569, Time  0.264753
2021-09-15 10:49:57.863669 : Epoch  3, Batch   1664, Loss  0.853572, Average Loss  0.870519, Time  0.264560
2021-09-15 10:50:00.865542 : Epoch  3, Batch   1665, Loss  0.874712, Average Loss  0.870614, Time  0.264518
2021-09-15 10:50:03.878011 : Epoch  3, Batch   1666, Loss  0.878153, Average Loss  0.870592, Time  0.264466
2021-09-15 10:50:06.880297 : Epoch  3, Batch   1667, Loss  0.864378, Average Loss  0.870624, Time  0.265032
2021-09-15 10:50:09.892629 : Epoch  3, Batch   1668, Loss  0.856249, Average Loss  0.870592, Time  0.264834
2021-09-15 10:50:12.907223 : Epoch  3, Batch   1669, Loss  0.869898, Average Loss  0.870600, Time  0.265343
2021-09-15 10:50:15.919495 : Epoch  3, Batch   1670, Loss  0.890325, Average Loss  0.870710, Time  0.266282
2021-09-15 10:50:18.936891 : Epoch  3, Batch   1671, Loss  0.856232, Average Loss  0.870622, Time  0.264964
2021-09-15 10:50:21.960312 : Epoch  3, Batch   1672, Loss  0.867879, Average Loss  0.870647, Time  0.265047
2021-09-15 10:50:24.954592 : Epoch  3, Batch   1673, Loss  0.881202, Average Loss  0.870662, Time  0.265805
2021-09-15 10:50:27.982090 : Epoch  3, Batch   1674, Loss  0.877800, Average Loss  0.870694, Time  0.276040
2021-09-15 10:50:30.982513 : Epoch  3, Batch   1675, Loss  0.888295, Average Loss  0.870864, Time  0.265776
2021-09-15 10:50:33.998129 : Epoch  3, Batch   1676, Loss  0.893935, Average Loss  0.870991, Time  0.264386
2021-09-15 10:50:36.998154 : Epoch  3, Batch   1677, Loss  0.892049, Average Loss  0.871181, Time  0.265248
2021-09-15 10:50:40.015111 : Epoch  3, Batch   1678, Loss  0.873174, Average Loss  0.871093, Time  0.265683
2021-09-15 10:50:43.034369 : Epoch  3, Batch   1679, Loss  0.873845, Average Loss  0.871193, Time  0.265101
2021-09-15 10:50:46.061286 : Epoch  3, Batch   1680, Loss  0.860952, Average Loss  0.871075, Time  0.264869
2021-09-15 10:50:49.066124 : Epoch  3, Batch   1681, Loss  0.870994, Average Loss  0.871101, Time  0.265513
2021-09-15 10:50:52.062508 : Epoch  3, Batch   1682, Loss  0.876038, Average Loss  0.871047, Time  0.264480
2021-09-15 10:50:55.064950 : Epoch  3, Batch   1683, Loss  0.872417, Average Loss  0.871061, Time  0.265680
2021-09-15 10:50:58.063007 : Epoch  3, Batch   1684, Loss  0.872416, Average Loss  0.871058, Time  0.265265
2021-09-15 10:51:01.085381 : Epoch  3, Batch   1685, Loss  0.862514, Average Loss  0.870992, Time  0.264065
2021-09-15 10:51:04.079724 : Epoch  3, Batch   1686, Loss  0.873228, Average Loss  0.871001, Time  0.264688
2021-09-15 10:51:07.116156 : Epoch  3, Batch   1687, Loss  0.879645, Average Loss  0.871019, Time  0.265557
2021-09-15 10:51:10.140595 : Epoch  3, Batch   1688, Loss  0.864705, Average Loss  0.871024, Time  0.265779
2021-09-15 10:55:49.247403 : CheckPoint: Validation Loss  0.00029462, Best Loss  0.00029236
2021-09-15 10:55:52.248294 : Epoch  3, Batch   1689, Loss  0.870206, Average Loss  0.870985, Time  0.277561
2021-09-15 10:55:55.266793 : Epoch  3, Batch   1690, Loss  0.882970, Average Loss  0.871106, Time  0.264766
2021-09-15 10:55:58.268277 : Epoch  3, Batch   1691, Loss  0.866893, Average Loss  0.871112, Time  0.266250
2021-09-15 10:56:01.277137 : Epoch  3, Batch   1692, Loss  0.884669, Average Loss  0.871038, Time  0.265311
2021-09-15 10:56:04.298952 : Epoch  3, Batch   1693, Loss  0.879281, Average Loss  0.870992, Time  0.265866
2021-09-15 10:56:07.300832 : Epoch  3, Batch   1694, Loss  0.887930, Average Loss  0.871056, Time  0.264667
2021-09-15 10:56:10.317516 : Epoch  3, Batch   1695, Loss  0.857127, Average Loss  0.870997, Time  0.265207
2021-09-15 10:56:13.335551 : Epoch  3, Batch   1696, Loss  0.862151, Average Loss  0.870973, Time  0.265377
2021-09-15 10:56:16.353401 : Epoch  3, Batch   1697, Loss  0.877624, Average Loss  0.871050, Time  0.265360
2021-09-15 10:56:19.394760 : Epoch  3, Batch   1698, Loss  0.887384, Average Loss  0.871107, Time  0.264282
2021-09-15 10:56:22.422972 : Epoch  3, Batch   1699, Loss  0.875298, Average Loss  0.871175, Time  0.264671
2021-09-15 10:56:25.433355 : Epoch  3, Batch   1700, Loss  0.873089, Average Loss  0.871230, Time  0.265384
2021-09-15 10:56:28.452123 : Epoch  3, Batch   1701, Loss  0.865297, Average Loss  0.871264, Time  0.265159
2021-09-15 10:56:31.453067 : Epoch  3, Batch   1702, Loss  0.844684, Average Loss  0.871043, Time  0.264543
2021-09-15 10:56:34.473797 : Epoch  3, Batch   1703, Loss  0.854822, Average Loss  0.870892, Time  0.265875
2021-09-15 10:56:37.486761 : Epoch  3, Batch   1704, Loss  0.879718, Average Loss  0.870939, Time  0.278255
2021-09-15 10:56:40.497341 : Epoch  3, Batch   1705, Loss  0.851181, Average Loss  0.870813, Time  0.265997
2021-09-15 10:56:43.542221 : Epoch  3, Batch   1706, Loss  0.864857, Average Loss  0.870867, Time  0.264820
2021-09-15 10:56:46.549084 : Epoch  3, Batch   1707, Loss  0.865526, Average Loss  0.870721, Time  0.265497
2021-09-15 10:56:49.555429 : Epoch  3, Batch   1708, Loss  0.863869, Average Loss  0.870660, Time  0.264961
2021-09-15 10:56:52.643778 : Epoch  3, Batch   1709, Loss  0.868122, Average Loss  0.870671, Time  0.265371
2021-09-15 10:56:55.673670 : Epoch  3, Batch   1710, Loss  0.876874, Average Loss  0.870664, Time  0.265063
2021-09-15 10:56:58.692395 : Epoch  3, Batch   1711, Loss  0.889993, Average Loss  0.870815, Time  0.266129
2021-09-15 10:57:01.697380 : Epoch  3, Batch   1712, Loss  0.857488, Average Loss  0.870824, Time  0.265077
2021-09-15 10:57:04.740847 : Epoch  3, Batch   1713, Loss  0.876819, Average Loss  0.870865, Time  0.265342
2021-09-15 10:57:07.767561 : Epoch  3, Batch   1714, Loss  0.894695, Average Loss  0.871045, Time  0.265843
2021-09-15 10:57:10.809009 : Epoch  3, Batch   1715, Loss  0.888198, Average Loss  0.871201, Time  0.266685
2021-09-15 10:57:13.804560 : Epoch  3, Batch   1716, Loss  0.844790, Average Loss  0.871185, Time  0.264283
2021-09-15 10:57:16.841425 : Epoch  3, Batch   1717, Loss  0.856683, Average Loss  0.871138, Time  0.266516
2021-09-15 10:57:19.858207 : Epoch  3, Batch   1718, Loss  0.864153, Average Loss  0.871163, Time  0.264371
2021-09-15 10:57:22.892072 : Epoch  3, Batch   1719, Loss  0.823437, Average Loss  0.870914, Time  0.272903
2021-09-15 10:57:25.919619 : Epoch  3, Batch   1720, Loss  0.873763, Average Loss  0.870978, Time  0.266295
2021-09-15 10:57:28.951111 : Epoch  3, Batch   1721, Loss  0.857607, Average Loss  0.870866, Time  0.265507
2021-09-15 10:57:31.963444 : Epoch  3, Batch   1722, Loss  0.861961, Average Loss  0.870912, Time  0.265131
2021-09-15 10:57:34.951630 : Epoch  3, Batch   1723, Loss  0.856978, Average Loss  0.870907, Time  0.264764
2021-09-15 10:57:37.930372 : Epoch  3, Batch   1724, Loss  0.875549, Average Loss  0.870996, Time  0.264784
2021-09-15 10:57:40.938742 : Epoch  3, Batch   1725, Loss  0.875955, Average Loss  0.871032, Time  0.265417
2021-09-15 10:57:43.969375 : Epoch  3, Batch   1726, Loss  0.851669, Average Loss  0.870873, Time  0.264985
2021-09-15 10:57:46.968011 : Epoch  3, Batch   1727, Loss  0.875064, Average Loss  0.870804, Time  0.264157
2021-09-15 10:57:49.990404 : Epoch  3, Batch   1728, Loss  0.871287, Average Loss  0.870768, Time  0.264872
2021-09-15 10:57:53.014512 : Epoch  3, Batch   1729, Loss  0.878996, Average Loss  0.870723, Time  0.265026
2021-09-15 10:57:56.036797 : Epoch  3, Batch   1730, Loss  0.863582, Average Loss  0.870694, Time  0.264620
2021-09-15 10:57:59.032295 : Epoch  3, Batch   1731, Loss  0.862193, Average Loss  0.870709, Time  0.266162
2021-09-15 10:58:02.075688 : Epoch  3, Batch   1732, Loss  0.877889, Average Loss  0.870833, Time  0.265327
2021-09-15 10:58:05.121537 : Epoch  3, Batch   1733, Loss  0.862114, Average Loss  0.870754, Time  0.267752
2021-09-15 10:58:08.226161 : Epoch  3, Batch   1734, Loss  0.899122, Average Loss  0.870872, Time  0.278970
2021-09-15 10:58:11.251653 : Epoch  3, Batch   1735, Loss  0.866435, Average Loss  0.870676, Time  0.266675
2021-09-15 10:58:14.287799 : Epoch  3, Batch   1736, Loss  0.867208, Average Loss  0.870731, Time  0.266748
2021-09-15 10:58:17.286711 : Epoch  3, Batch   1737, Loss  0.874909, Average Loss  0.870748, Time  0.265903
2021-09-15 10:58:20.298227 : Epoch  3, Batch   1738, Loss  0.850368, Average Loss  0.870783, Time  0.265852
2021-09-15 10:58:23.334651 : Epoch  3, Batch   1739, Loss  0.883635, Average Loss  0.870859, Time  0.264314
2021-09-15 10:58:26.329276 : Epoch  3, Batch   1740, Loss  0.862896, Average Loss  0.870886, Time  0.264397
2021-09-15 10:58:29.325122 : Epoch  3, Batch   1741, Loss  0.895346, Average Loss  0.871071, Time  0.265116
2021-09-15 10:58:32.356347 : Epoch  3, Batch   1742, Loss  0.863493, Average Loss  0.871072, Time  0.265685
2021-09-15 10:58:35.376907 : Epoch  3, Batch   1743, Loss  0.855570, Average Loss  0.871013, Time  0.265423
2021-09-15 10:58:38.374435 : Epoch  3, Batch   1744, Loss  0.860379, Average Loss  0.870974, Time  0.264990
2021-09-15 10:58:41.359659 : Epoch  3, Batch   1745, Loss  0.873033, Average Loss  0.871066, Time  0.265291
2021-09-15 10:58:44.375681 : Epoch  3, Batch   1746, Loss  0.878604, Average Loss  0.871170, Time  0.265709
2021-09-15 10:58:47.418452 : Epoch  3, Batch   1747, Loss  0.886761, Average Loss  0.871212, Time  0.264951
2021-09-15 10:58:50.440623 : Epoch  3, Batch   1748, Loss  0.863161, Average Loss  0.871214, Time  0.264971
2021-09-15 10:58:53.510491 : Epoch  3, Batch   1749, Loss  0.872290, Average Loss  0.871307, Time  0.280050
2021-09-15 10:58:56.548921 : Epoch  3, Batch   1750, Loss  0.875097, Average Loss  0.871408, Time  0.267503
2021-09-15 10:58:59.560819 : Epoch  3, Batch   1751, Loss  0.891449, Average Loss  0.871514, Time  0.265785
2021-09-15 10:59:02.574033 : Epoch  3, Batch   1752, Loss  0.895513, Average Loss  0.871668, Time  0.264868
2021-09-15 10:59:05.569019 : Epoch  3, Batch   1753, Loss  0.867627, Average Loss  0.871725, Time  0.264770
2021-09-15 10:59:08.580539 : Epoch  3, Batch   1754, Loss  0.878350, Average Loss  0.871755, Time  0.265010
2021-09-15 10:59:11.603174 : Epoch  3, Batch   1755, Loss  0.876124, Average Loss  0.871869, Time  0.264910
2021-09-15 10:59:14.625375 : Epoch  3, Batch   1756, Loss  0.880920, Average Loss  0.872045, Time  0.264966
2021-09-15 10:59:17.662850 : Epoch  3, Batch   1757, Loss  0.862127, Average Loss  0.872072, Time  0.265231
2021-09-15 10:59:20.661404 : Epoch  3, Batch   1758, Loss  0.873362, Average Loss  0.871995, Time  0.264686
2021-09-15 10:59:23.671617 : Epoch  3, Batch   1759, Loss  0.860866, Average Loss  0.871951, Time  0.265356
2021-09-15 10:59:26.697120 : Epoch  3, Batch   1760, Loss  0.877698, Average Loss  0.871969, Time  0.264990
2021-09-15 10:59:29.695563 : Epoch  3, Batch   1761, Loss  0.869244, Average Loss  0.872030, Time  0.264530
2021-09-15 10:59:32.718305 : Epoch  3, Batch   1762, Loss  0.887842, Average Loss  0.872178, Time  0.265992
2021-09-15 10:59:35.716379 : Epoch  3, Batch   1763, Loss  0.874448, Average Loss  0.872238, Time  0.265294
2021-09-15 10:59:38.755751 : Epoch  3, Batch   1764, Loss  0.859786, Average Loss  0.872173, Time  0.272153
2021-09-15 10:59:41.766130 : Epoch  3, Batch   1765, Loss  0.895033, Average Loss  0.872277, Time  0.265968
2021-09-15 10:59:44.768923 : Epoch  3, Batch   1766, Loss  0.867122, Average Loss  0.872125, Time  0.265217
2021-09-15 10:59:47.782049 : Epoch  3, Batch   1767, Loss  0.871683, Average Loss  0.872073, Time  0.265239
2021-09-15 10:59:50.809668 : Epoch  3, Batch   1768, Loss  0.873201, Average Loss  0.872084, Time  0.264477
2021-09-15 10:59:53.821362 : Epoch  3, Batch   1769, Loss  0.891239, Average Loss  0.872174, Time  0.265148
2021-09-15 10:59:56.861463 : Epoch  3, Batch   1770, Loss  0.888425, Average Loss  0.872242, Time  0.266186
2021-09-15 10:59:59.859594 : Epoch  3, Batch   1771, Loss  0.862789, Average Loss  0.872055, Time  0.264416
2021-09-15 11:00:02.860365 : Epoch  3, Batch   1772, Loss  0.864260, Average Loss  0.872080, Time  0.264814
2021-09-15 11:00:05.868028 : Epoch  3, Batch   1773, Loss  0.876580, Average Loss  0.872064, Time  0.266419
2021-09-15 11:00:08.865196 : Epoch  3, Batch   1774, Loss  0.886689, Average Loss  0.872015, Time  0.265758
2021-09-15 11:00:11.897070 : Epoch  3, Batch   1775, Loss  0.872339, Average Loss  0.872215, Time  0.265594
2021-09-15 11:00:14.902727 : Epoch  3, Batch   1776, Loss  0.873046, Average Loss  0.872208, Time  0.265005
2021-09-15 11:00:17.895282 : Epoch  3, Batch   1777, Loss  0.880975, Average Loss  0.872330, Time  0.264739
2021-09-15 11:00:20.887745 : Epoch  3, Batch   1778, Loss  0.884370, Average Loss  0.872275, Time  0.264961
2021-09-15 11:00:23.956629 : Epoch  3, Batch   1779, Loss  0.865264, Average Loss  0.872250, Time  0.277537
2021-09-15 11:00:26.993792 : Epoch  3, Batch   1780, Loss  0.878980, Average Loss  0.872210, Time  0.266384
2021-09-15 11:00:29.990346 : Epoch  3, Batch   1781, Loss  0.841805, Average Loss  0.872048, Time  0.265120
2021-09-15 11:00:32.986249 : Epoch  3, Batch   1782, Loss  0.866197, Average Loss  0.872005, Time  0.265072
2021-09-15 11:00:35.974244 : Epoch  3, Batch   1783, Loss  0.851755, Average Loss  0.871842, Time  0.265136
2021-09-15 11:00:38.978774 : Epoch  3, Batch   1784, Loss  0.877116, Average Loss  0.871852, Time  0.264702
2021-09-15 11:00:41.974816 : Epoch  3, Batch   1785, Loss  0.871334, Average Loss  0.871806, Time  0.264608
2021-09-15 11:00:44.996419 : Epoch  3, Batch   1786, Loss  0.886005, Average Loss  0.871871, Time  0.266172
2021-09-15 11:00:48.003218 : Epoch  3, Batch   1787, Loss  0.867759, Average Loss  0.871834, Time  0.264555
2021-09-15 11:00:51.025849 : Epoch  3, Batch   1788, Loss  0.876499, Average Loss  0.871832, Time  0.264555
2021-09-15 11:05:31.442305 : CheckPoint: Validation Loss  0.00030957, Best Loss  0.00029236
2021-09-15 11:05:34.482679 : Epoch  3, Batch   1789, Loss  0.882255, Average Loss  0.871870, Time  0.266604
2021-09-15 11:05:37.487858 : Epoch  3, Batch   1790, Loss  0.852935, Average Loss  0.871762, Time  0.266970
2021-09-15 11:05:40.521020 : Epoch  3, Batch   1791, Loss  0.865269, Average Loss  0.871762, Time  0.265741
2021-09-15 11:05:43.540806 : Epoch  3, Batch   1792, Loss  0.857814, Average Loss  0.871673, Time  0.265432
2021-09-15 11:05:46.597866 : Epoch  3, Batch   1793, Loss  0.891091, Average Loss  0.871776, Time  0.274262
2021-09-15 11:05:49.635550 : Epoch  3, Batch   1794, Loss  0.880573, Average Loss  0.871793, Time  0.265570
2021-09-15 11:05:52.661467 : Epoch  3, Batch   1795, Loss  0.871521, Average Loss  0.871792, Time  0.264914
2021-09-15 11:05:55.687482 : Epoch  3, Batch   1796, Loss  0.856588, Average Loss  0.871735, Time  0.266153
2021-09-15 11:05:58.715739 : Epoch  3, Batch   1797, Loss  0.867000, Average Loss  0.871795, Time  0.265727
2021-09-15 11:06:01.738789 : Epoch  3, Batch   1798, Loss  0.876012, Average Loss  0.871822, Time  0.264948
2021-09-15 11:06:04.791020 : Epoch  3, Batch   1799, Loss  0.880750, Average Loss  0.871764, Time  0.265321
2021-09-15 11:06:07.844411 : Epoch  3, Batch   1800, Loss  0.879319, Average Loss  0.871939, Time  0.265174
2021-09-15 11:06:10.886600 : Epoch  3, Batch   1801, Loss  0.854003, Average Loss  0.871937, Time  0.265208
2021-09-15 11:06:13.923494 : Epoch  3, Batch   1802, Loss  0.856178, Average Loss  0.871801, Time  0.265668
2021-09-15 11:06:16.966050 : Epoch  3, Batch   1803, Loss  0.858960, Average Loss  0.871643, Time  0.263943
2021-09-15 11:06:19.992465 : Epoch  3, Batch   1804, Loss  0.861250, Average Loss  0.871522, Time  0.266243
2021-09-15 11:06:23.025600 : Epoch  3, Batch   1805, Loss  0.878714, Average Loss  0.871550, Time  0.265414
2021-09-15 11:06:26.083436 : Epoch  3, Batch   1806, Loss  0.852724, Average Loss  0.871459, Time  0.266602
2021-09-15 11:06:29.165073 : Epoch  3, Batch   1807, Loss  0.876925, Average Loss  0.871404, Time  0.265860
2021-09-15 11:06:32.225045 : Epoch  3, Batch   1808, Loss  0.840525, Average Loss  0.871240, Time  0.272315
2021-09-15 11:06:35.250789 : Epoch  3, Batch   1809, Loss  0.874945, Average Loss  0.871218, Time  0.265617
2021-09-15 11:06:38.295394 : Epoch  3, Batch   1810, Loss  0.851605, Average Loss  0.871041, Time  0.266273
2021-09-15 11:06:41.319559 : Epoch  3, Batch   1811, Loss  0.860752, Average Loss  0.870993, Time  0.266245
2021-09-15 11:06:44.358988 : Epoch  3, Batch   1812, Loss  0.856238, Average Loss  0.870824, Time  0.265359
2021-09-15 11:06:47.376109 : Epoch  3, Batch   1813, Loss  0.875102, Average Loss  0.870793, Time  0.265625
2021-09-15 11:06:50.413790 : Epoch  3, Batch   1814, Loss  0.883971, Average Loss  0.870961, Time  0.265520
2021-09-15 11:06:53.429012 : Epoch  3, Batch   1815, Loss  0.874688, Average Loss  0.870854, Time  0.265774
2021-09-15 11:06:56.439199 : Epoch  3, Batch   1816, Loss  0.850596, Average Loss  0.870846, Time  0.264977
2021-09-15 11:06:59.467949 : Epoch  3, Batch   1817, Loss  0.872200, Average Loss  0.870797, Time  0.265013
2021-09-15 11:07:02.534440 : Epoch  3, Batch   1818, Loss  0.879351, Average Loss  0.870854, Time  0.264679
2021-09-15 11:07:05.542508 : Epoch  3, Batch   1819, Loss  0.867611, Average Loss  0.870858, Time  0.264136
2021-09-15 11:07:08.548415 : Epoch  3, Batch   1820, Loss  0.870627, Average Loss  0.870883, Time  0.264436
2021-09-15 11:07:11.566758 : Epoch  3, Batch   1821, Loss  0.899532, Average Loss  0.871044, Time  0.264927
2021-09-15 11:07:14.617678 : Epoch  3, Batch   1822, Loss  0.868976, Average Loss  0.871068, Time  0.265566
2021-09-15 11:07:17.663517 : Epoch  3, Batch   1823, Loss  0.865446, Average Loss  0.871042, Time  0.274489
2021-09-15 11:07:20.706821 : Epoch  3, Batch   1824, Loss  0.861021, Average Loss  0.871123, Time  0.266034
2021-09-15 11:07:23.751614 : Epoch  3, Batch   1825, Loss  0.863405, Average Loss  0.871113, Time  0.265142
2021-09-15 11:07:26.786169 : Epoch  3, Batch   1826, Loss  0.864943, Average Loss  0.871065, Time  0.265902
2021-09-15 11:07:29.812187 : Epoch  3, Batch   1827, Loss  0.848618, Average Loss  0.871054, Time  0.265260
2021-09-15 11:07:32.843618 : Epoch  3, Batch   1828, Loss  0.867265, Average Loss  0.871009, Time  0.264701
2021-09-15 11:07:35.872780 : Epoch  3, Batch   1829, Loss  0.853579, Average Loss  0.870934, Time  0.265753
2021-09-15 11:07:38.882174 : Epoch  3, Batch   1830, Loss  0.854173, Average Loss  0.870823, Time  0.265136
2021-09-15 11:07:41.922078 : Epoch  3, Batch   1831, Loss  0.864639, Average Loss  0.870911, Time  0.265646
2021-09-15 11:07:44.925495 : Epoch  3, Batch   1832, Loss  0.871929, Average Loss  0.870978, Time  0.265465
2021-09-15 11:07:47.936111 : Epoch  3, Batch   1833, Loss  0.850377, Average Loss  0.870859, Time  0.265556
2021-09-15 11:07:50.964786 : Epoch  3, Batch   1834, Loss  0.869653, Average Loss  0.870807, Time  0.265396
2021-09-15 11:07:54.001304 : Epoch  3, Batch   1835, Loss  0.852413, Average Loss  0.870531, Time  0.265291
2021-09-15 11:07:57.041863 : Epoch  3, Batch   1836, Loss  0.859004, Average Loss  0.870491, Time  0.266985
2021-09-15 11:08:00.064349 : Epoch  3, Batch   1837, Loss  0.881925, Average Loss  0.870565, Time  0.265165
2021-09-15 11:08:03.098725 : Epoch  3, Batch   1838, Loss  0.879339, Average Loss  0.870659, Time  0.275575
2021-09-15 11:08:06.118633 : Epoch  3, Batch   1839, Loss  0.878104, Average Loss  0.870724, Time  0.266644
2021-09-15 11:08:09.157363 : Epoch  3, Batch   1840, Loss  0.843865, Average Loss  0.870638, Time  0.264590
2021-09-15 11:08:12.193524 : Epoch  3, Batch   1841, Loss  0.880091, Average Loss  0.870680, Time  0.264639
2021-09-15 11:08:15.226044 : Epoch  3, Batch   1842, Loss  0.878952, Average Loss  0.870616, Time  0.265072
2021-09-15 11:08:18.244388 : Epoch  3, Batch   1843, Loss  0.865880, Average Loss  0.870662, Time  0.264682
2021-09-15 11:08:21.301356 : Epoch  3, Batch   1844, Loss  0.854388, Average Loss  0.870619, Time  0.265656
2021-09-15 11:08:24.308743 : Epoch  3, Batch   1845, Loss  0.861880, Average Loss  0.870516, Time  0.265127
2021-09-15 11:08:27.315284 : Epoch  3, Batch   1846, Loss  0.872860, Average Loss  0.870418, Time  0.264767
2021-09-15 11:08:30.320108 : Epoch  3, Batch   1847, Loss  0.863675, Average Loss  0.870385, Time  0.264741
2021-09-15 11:08:33.344527 : Epoch  3, Batch   1848, Loss  0.870594, Average Loss  0.870318, Time  0.265678
2021-09-15 11:08:36.387465 : Epoch  3, Batch   1849, Loss  0.867555, Average Loss  0.870356, Time  0.267103
2021-09-15 11:08:39.404576 : Epoch  3, Batch   1850, Loss  0.880880, Average Loss  0.870404, Time  0.265257
2021-09-15 11:08:42.437124 : Epoch  3, Batch   1851, Loss  0.860014, Average Loss  0.870343, Time  0.265028
2021-09-15 11:08:45.448898 : Epoch  3, Batch   1852, Loss  0.870454, Average Loss  0.870357, Time  0.266425
2021-09-15 11:08:48.482124 : Epoch  3, Batch   1853, Loss  0.871963, Average Loss  0.870391, Time  0.279466
2021-09-15 11:08:51.506951 : Epoch  3, Batch   1854, Loss  0.848608, Average Loss  0.870304, Time  0.266055
2021-09-15 11:08:54.570461 : Epoch  3, Batch   1855, Loss  0.874216, Average Loss  0.870367, Time  0.265736
2021-09-15 11:08:57.614803 : Epoch  3, Batch   1856, Loss  0.877817, Average Loss  0.870367, Time  0.266089
2021-09-15 11:08:57.640834 : Saving Model after 3-th Epoch.
2021-09-15 11:08:58.358869 : Epoch Finished.
2021-09-15 11:09:06.399591 : Batch Shuffled
2021-09-15 11:09:09.385712 : Epoch  4, Batch      1, Loss  0.878545, Average Loss  0.870404, Time  0.264359
2021-09-15 11:09:12.412400 : Epoch  4, Batch      2, Loss  0.881725, Average Loss  0.870480, Time  0.265284
2021-09-15 11:09:15.405480 : Epoch  4, Batch      3, Loss  0.874737, Average Loss  0.870457, Time  0.265017
2021-09-15 11:09:18.433278 : Epoch  4, Batch      4, Loss  0.876937, Average Loss  0.870403, Time  0.265720
2021-09-15 11:09:21.441035 : Epoch  4, Batch      5, Loss  0.874081, Average Loss  0.870426, Time  0.265127
2021-09-15 11:09:24.480023 : Epoch  4, Batch      6, Loss  0.898697, Average Loss  0.870367, Time  0.265188
2021-09-15 11:09:27.520371 : Epoch  4, Batch      7, Loss  0.871779, Average Loss  0.870359, Time  0.264477
2021-09-15 11:09:30.625499 : Epoch  4, Batch      8, Loss  0.866582, Average Loss  0.870424, Time  0.265409
2021-09-15 11:09:33.647997 : Epoch  4, Batch      9, Loss  0.867245, Average Loss  0.870387, Time  0.278527
2021-09-15 11:09:36.652069 : Epoch  4, Batch     10, Loss  0.871925, Average Loss  0.870356, Time  0.265201
2021-09-15 11:09:39.668929 : Epoch  4, Batch     11, Loss  0.884853, Average Loss  0.870458, Time  0.266529
2021-09-15 11:09:42.699186 : Epoch  4, Batch     12, Loss  0.865235, Average Loss  0.870503, Time  0.265888
2021-09-15 11:09:45.707380 : Epoch  4, Batch     13, Loss  0.856765, Average Loss  0.870437, Time  0.265019
2021-09-15 11:09:48.725472 : Epoch  4, Batch     14, Loss  0.861921, Average Loss  0.870295, Time  0.265029
2021-09-15 11:09:51.730408 : Epoch  4, Batch     15, Loss  0.862660, Average Loss  0.870327, Time  0.265373
2021-09-15 11:09:54.772646 : Epoch  4, Batch     16, Loss  0.827930, Average Loss  0.870128, Time  0.265297
2021-09-15 11:09:57.771368 : Epoch  4, Batch     17, Loss  0.837970, Average Loss  0.869911, Time  0.265284
2021-09-15 11:10:00.791079 : Epoch  4, Batch     18, Loss  0.888656, Average Loss  0.869966, Time  0.265840
2021-09-15 11:10:03.791709 : Epoch  4, Batch     19, Loss  0.867245, Average Loss  0.869860, Time  0.265362
2021-09-15 11:10:06.786013 : Epoch  4, Batch     20, Loss  0.856825, Average Loss  0.869675, Time  0.264390
2021-09-15 11:10:09.819765 : Epoch  4, Batch     21, Loss  0.873816, Average Loss  0.869584, Time  0.264522
2021-09-15 11:10:12.836164 : Epoch  4, Batch     22, Loss  0.873103, Average Loss  0.869583, Time  0.265183
2021-09-15 11:10:15.847484 : Epoch  4, Batch     23, Loss  0.868331, Average Loss  0.869556, Time  0.264482
2021-09-15 11:10:18.871677 : Epoch  4, Batch     24, Loss  0.857305, Average Loss  0.869538, Time  0.278728
2021-09-15 11:10:21.894155 : Epoch  4, Batch     25, Loss  0.859884, Average Loss  0.869482, Time  0.267129
2021-09-15 11:10:24.949993 : Epoch  4, Batch     26, Loss  0.864775, Average Loss  0.869426, Time  0.265715
2021-09-15 11:10:28.000391 : Epoch  4, Batch     27, Loss  0.853990, Average Loss  0.869334, Time  0.265598
2021-09-15 11:10:31.009038 : Epoch  4, Batch     28, Loss  0.852593, Average Loss  0.869234, Time  0.265931
2021-09-15 11:10:34.035737 : Epoch  4, Batch     29, Loss  0.852107, Average Loss  0.869182, Time  0.265636
2021-09-15 11:10:37.052811 : Epoch  4, Batch     30, Loss  0.864977, Average Loss  0.869141, Time  0.264605
2021-09-15 11:10:40.057310 : Epoch  4, Batch     31, Loss  0.878926, Average Loss  0.869138, Time  0.265020
2021-09-15 11:10:43.100971 : Epoch  4, Batch     32, Loss  0.870020, Average Loss  0.869164, Time  0.268684
2021-09-15 11:15:22.722543 : CheckPoint: Validation Loss  0.00030133, Best Loss  0.00029236
2021-09-15 11:15:25.708942 : Epoch  4, Batch     33, Loss  0.863949, Average Loss  0.869133, Time  0.267148
2021-09-15 11:15:28.730748 : Epoch  4, Batch     34, Loss  0.869015, Average Loss  0.869063, Time  0.266082
2021-09-15 11:15:31.754495 : Epoch  4, Batch     35, Loss  0.884941, Average Loss  0.869153, Time  0.265511
2021-09-15 11:15:34.754817 : Epoch  4, Batch     36, Loss  0.864273, Average Loss  0.869051, Time  0.264832
2021-09-15 11:15:37.755304 : Epoch  4, Batch     37, Loss  0.884127, Average Loss  0.869076, Time  0.264683
2021-09-15 11:15:40.781840 : Epoch  4, Batch     38, Loss  0.854519, Average Loss  0.868909, Time  0.265085
2021-09-15 11:15:43.818512 : Epoch  4, Batch     39, Loss  0.869293, Average Loss  0.868969, Time  0.275892
2021-09-15 11:15:46.819989 : Epoch  4, Batch     40, Loss  0.882719, Average Loss  0.869072, Time  0.266047
2021-09-15 11:15:49.812817 : Epoch  4, Batch     41, Loss  0.896375, Average Loss  0.869166, Time  0.265062
2021-09-15 11:15:52.804182 : Epoch  4, Batch     42, Loss  0.868473, Average Loss  0.869071, Time  0.264839
2021-09-15 11:15:55.828564 : Epoch  4, Batch     43, Loss  0.890419, Average Loss  0.869147, Time  0.266433
2021-09-15 11:15:58.848639 : Epoch  4, Batch     44, Loss  0.873013, Average Loss  0.869147, Time  0.265164
2021-09-15 11:16:01.856108 : Epoch  4, Batch     45, Loss  0.859222, Average Loss  0.869116, Time  0.265484
2021-09-15 11:16:04.896223 : Epoch  4, Batch     46, Loss  0.846168, Average Loss  0.869124, Time  0.265837
2021-09-15 11:16:07.896350 : Epoch  4, Batch     47, Loss  0.868698, Average Loss  0.869193, Time  0.264436
2021-09-15 11:16:10.917665 : Epoch  4, Batch     48, Loss  0.890580, Average Loss  0.869247, Time  0.266420
2021-09-15 11:16:13.962071 : Epoch  4, Batch     49, Loss  0.866884, Average Loss  0.869326, Time  0.264904
2021-09-15 11:16:16.957669 : Epoch  4, Batch     50, Loss  0.861668, Average Loss  0.869310, Time  0.264454
2021-09-15 11:16:19.975370 : Epoch  4, Batch     51, Loss  0.885142, Average Loss  0.869408, Time  0.265578
2021-09-15 11:16:22.989512 : Epoch  4, Batch     52, Loss  0.872106, Average Loss  0.869449, Time  0.267402
2021-09-15 11:16:26.018389 : Epoch  4, Batch     53, Loss  0.870602, Average Loss  0.869462, Time  0.266938
2021-09-15 11:16:29.065609 : Epoch  4, Batch     54, Loss  0.878384, Average Loss  0.869469, Time  0.278110
2021-09-15 11:16:32.067387 : Epoch  4, Batch     55, Loss  0.872206, Average Loss  0.869380, Time  0.266008
2021-09-15 11:16:35.066428 : Epoch  4, Batch     56, Loss  0.885423, Average Loss  0.869520, Time  0.266136
2021-09-15 11:16:38.069544 : Epoch  4, Batch     57, Loss  0.867325, Average Loss  0.869472, Time  0.265793
2021-09-15 11:16:41.057665 : Epoch  4, Batch     58, Loss  0.862234, Average Loss  0.869310, Time  0.264606
2021-09-15 11:16:44.049681 : Epoch  4, Batch     59, Loss  0.877993, Average Loss  0.869259, Time  0.264929
2021-09-15 11:16:47.079739 : Epoch  4, Batch     60, Loss  0.852068, Average Loss  0.869295, Time  0.264599
2021-09-15 11:16:50.103105 : Epoch  4, Batch     61, Loss  0.874754, Average Loss  0.869386, Time  0.265326
2021-09-15 11:16:53.114499 : Epoch  4, Batch     62, Loss  0.854485, Average Loss  0.869337, Time  0.264713
2021-09-15 11:16:56.110441 : Epoch  4, Batch     63, Loss  0.878267, Average Loss  0.869612, Time  0.264767
2021-09-15 11:16:59.112409 : Epoch  4, Batch     64, Loss  0.891896, Average Loss  0.869702, Time  0.265148
2021-09-15 11:17:02.146932 : Epoch  4, Batch     65, Loss  0.875993, Average Loss  0.869794, Time  0.265133
2021-09-15 11:17:05.152900 : Epoch  4, Batch     66, Loss  0.871237, Average Loss  0.869841, Time  0.265425
2021-09-15 11:17:08.165823 : Epoch  4, Batch     67, Loss  0.858232, Average Loss  0.869847, Time  0.265265
2021-09-15 11:17:11.194465 : Epoch  4, Batch     68, Loss  0.876351, Average Loss  0.869851, Time  0.265255
2021-09-15 11:17:14.243654 : Epoch  4, Batch     69, Loss  0.874322, Average Loss  0.869843, Time  0.275489
2021-09-15 11:17:17.250866 : Epoch  4, Batch     70, Loss  0.874197, Average Loss  0.869955, Time  0.267023
2021-09-15 11:17:20.257924 : Epoch  4, Batch     71, Loss  0.860005, Average Loss  0.869880, Time  0.264800
2021-09-15 11:17:23.270123 : Epoch  4, Batch     72, Loss  0.858701, Average Loss  0.869817, Time  0.267136
2021-09-15 11:17:26.298251 : Epoch  4, Batch     73, Loss  0.871634, Average Loss  0.869780, Time  0.264860
2021-09-15 11:17:29.306279 : Epoch  4, Batch     74, Loss  0.869121, Average Loss  0.869808, Time  0.264990
2021-09-15 11:17:32.336353 : Epoch  4, Batch     75, Loss  0.882264, Average Loss  0.869908, Time  0.265608
2021-09-15 11:17:35.374793 : Epoch  4, Batch     76, Loss  0.874603, Average Loss  0.869892, Time  0.265654
2021-09-15 11:17:38.419172 : Epoch  4, Batch     77, Loss  0.863871, Average Loss  0.869901, Time  0.266011
2021-09-15 11:17:41.457116 : Epoch  4, Batch     78, Loss  0.875556, Average Loss  0.869783, Time  0.265896
2021-09-15 11:17:44.491494 : Epoch  4, Batch     79, Loss  0.885454, Average Loss  0.869878, Time  0.266370
2021-09-15 11:17:47.521142 : Epoch  4, Batch     80, Loss  0.869581, Average Loss  0.869890, Time  0.264951
2021-09-15 11:17:50.510878 : Epoch  4, Batch     81, Loss  0.862282, Average Loss  0.869827, Time  0.265343
2021-09-15 11:17:53.510854 : Epoch  4, Batch     82, Loss  0.871633, Average Loss  0.869933, Time  0.265696
2021-09-15 11:17:56.527422 : Epoch  4, Batch     83, Loss  0.890943, Average Loss  0.869970, Time  0.265710
2021-09-15 11:17:59.558271 : Epoch  4, Batch     84, Loss  0.879864, Average Loss  0.870054, Time  0.274157
2021-09-15 11:18:02.559292 : Epoch  4, Batch     85, Loss  0.879256, Average Loss  0.869974, Time  0.265866
2021-09-15 11:18:05.587525 : Epoch  4, Batch     86, Loss  0.859482, Average Loss  0.869954, Time  0.266357
2021-09-15 11:18:08.614530 : Epoch  4, Batch     87, Loss  0.868270, Average Loss  0.870017, Time  0.264745
2021-09-15 11:18:11.620733 : Epoch  4, Batch     88, Loss  0.852006, Average Loss  0.869976, Time  0.266182
2021-09-15 11:18:14.631292 : Epoch  4, Batch     89, Loss  0.851576, Average Loss  0.869868, Time  0.265706
2021-09-15 11:18:17.630331 : Epoch  4, Batch     90, Loss  0.888358, Average Loss  0.869917, Time  0.264307
2021-09-15 11:18:20.633461 : Epoch  4, Batch     91, Loss  0.893927, Average Loss  0.869953, Time  0.264889
2021-09-15 11:18:23.648409 : Epoch  4, Batch     92, Loss  0.860555, Average Loss  0.869940, Time  0.266283
2021-09-15 11:18:26.668735 : Epoch  4, Batch     93, Loss  0.871259, Average Loss  0.869935, Time  0.265840
2021-09-15 11:18:29.696704 : Epoch  4, Batch     94, Loss  0.878103, Average Loss  0.869950, Time  0.265453
2021-09-15 11:18:32.702434 : Epoch  4, Batch     95, Loss  0.871062, Average Loss  0.869848, Time  0.265068
2021-09-15 11:18:35.696029 : Epoch  4, Batch     96, Loss  0.885657, Average Loss  0.869799, Time  0.265987
2021-09-15 11:18:38.692070 : Epoch  4, Batch     97, Loss  0.893378, Average Loss  0.869927, Time  0.263693
2021-09-15 11:18:41.696873 : Epoch  4, Batch     98, Loss  0.880256, Average Loss  0.869937, Time  0.264102
2021-09-15 11:18:44.704987 : Epoch  4, Batch     99, Loss  0.878705, Average Loss  0.869950, Time  0.273729
2021-09-15 11:18:47.716305 : Epoch  4, Batch    100, Loss  0.879663, Average Loss  0.869943, Time  0.264781
2021-09-15 11:18:50.720302 : Epoch  4, Batch    101, Loss  0.869555, Average Loss  0.869981, Time  0.265328
2021-09-15 11:18:53.732200 : Epoch  4, Batch    102, Loss  0.867465, Average Loss  0.869951, Time  0.264735
2021-09-15 11:18:56.747523 : Epoch  4, Batch    103, Loss  0.887116, Average Loss  0.870082, Time  0.265270
2021-09-15 11:18:59.778463 : Epoch  4, Batch    104, Loss  0.874441, Average Loss  0.870066, Time  0.264712
2021-09-15 11:19:02.780528 : Epoch  4, Batch    105, Loss  0.866326, Average Loss  0.870051, Time  0.265648
2021-09-15 11:19:05.819911 : Epoch  4, Batch    106, Loss  0.886748, Average Loss  0.870046, Time  0.265567
2021-09-15 11:19:08.837095 : Epoch  4, Batch    107, Loss  0.911038, Average Loss  0.870229, Time  0.266079
2021-09-15 11:19:11.869688 : Epoch  4, Batch    108, Loss  0.867122, Average Loss  0.870266, Time  0.264263
2021-09-15 11:19:14.890091 : Epoch  4, Batch    109, Loss  0.876335, Average Loss  0.870172, Time  0.266809
2021-09-15 11:19:17.938034 : Epoch  4, Batch    110, Loss  0.867883, Average Loss  0.870176, Time  0.265146
2021-09-15 11:19:20.939716 : Epoch  4, Batch    111, Loss  0.855746, Average Loss  0.870096, Time  0.264712
2021-09-15 11:19:23.986254 : Epoch  4, Batch    112, Loss  0.843899, Average Loss  0.869950, Time  0.266601
2021-09-15 11:19:26.982633 : Epoch  4, Batch    113, Loss  0.858054, Average Loss  0.869784, Time  0.264719
2021-09-15 11:19:30.021699 : Epoch  4, Batch    114, Loss  0.859538, Average Loss  0.869639, Time  0.272761
2021-09-15 11:19:33.030111 : Epoch  4, Batch    115, Loss  0.866092, Average Loss  0.869656, Time  0.265146
2021-09-15 11:19:36.072114 : Epoch  4, Batch    116, Loss  0.890362, Average Loss  0.869786, Time  0.265517
2021-09-15 11:19:39.065476 : Epoch  4, Batch    117, Loss  0.891139, Average Loss  0.869859, Time  0.266223
2021-09-15 11:19:42.078919 : Epoch  4, Batch    118, Loss  0.887576, Average Loss  0.869864, Time  0.265850
2021-09-15 11:19:45.086954 : Epoch  4, Batch    119, Loss  0.863849, Average Loss  0.869821, Time  0.264761
2021-09-15 11:19:48.103706 : Epoch  4, Batch    120, Loss  0.851257, Average Loss  0.869712, Time  0.264659
2021-09-15 11:19:51.106440 : Epoch  4, Batch    121, Loss  0.856779, Average Loss  0.869591, Time  0.264900
2021-09-15 11:19:54.104718 : Epoch  4, Batch    122, Loss  0.862313, Average Loss  0.869481, Time  0.265126
2021-09-15 11:19:57.095947 : Epoch  4, Batch    123, Loss  0.887519, Average Loss  0.869592, Time  0.265050
2021-09-15 11:20:00.097818 : Epoch  4, Batch    124, Loss  0.885838, Average Loss  0.869627, Time  0.264685
2021-09-15 11:20:03.119908 : Epoch  4, Batch    125, Loss  0.874418, Average Loss  0.869790, Time  0.264434
2021-09-15 11:20:06.145847 : Epoch  4, Batch    126, Loss  0.871657, Average Loss  0.869817, Time  0.265148
2021-09-15 11:20:09.179875 : Epoch  4, Batch    127, Loss  0.858054, Average Loss  0.869848, Time  0.264230
2021-09-15 11:20:12.188523 : Epoch  4, Batch    128, Loss  0.873254, Average Loss  0.869829, Time  0.265375
2021-09-15 11:20:15.192357 : Epoch  4, Batch    129, Loss  0.878929, Average Loss  0.869867, Time  0.277183
2021-09-15 11:20:18.184480 : Epoch  4, Batch    130, Loss  0.854231, Average Loss  0.869708, Time  0.265479
2021-09-15 11:20:21.201715 : Epoch  4, Batch    131, Loss  0.871549, Average Loss  0.869727, Time  0.266142
2021-09-15 11:20:24.218178 : Epoch  4, Batch    132, Loss  0.877860, Average Loss  0.869734, Time  0.266737
2021-09-15 11:25:03.206611 : CheckPoint: Validation Loss  0.00030731, Best Loss  0.00029236
2021-09-15 11:25:06.185509 : Epoch  4, Batch    133, Loss  0.881871, Average Loss  0.869732, Time  0.265409
2021-09-15 11:25:09.205693 : Epoch  4, Batch    134, Loss  0.860674, Average Loss  0.869771, Time  0.264130
2021-09-15 11:25:12.205805 : Epoch  4, Batch    135, Loss  0.875461, Average Loss  0.869822, Time  0.264311
2021-09-15 11:25:15.224649 : Epoch  4, Batch    136, Loss  0.864712, Average Loss  0.869856, Time  0.265333
2021-09-15 11:25:18.228361 : Epoch  4, Batch    137, Loss  0.883829, Average Loss  0.869820, Time  0.264663
2021-09-15 11:25:21.243173 : Epoch  4, Batch    138, Loss  0.846468, Average Loss  0.869649, Time  0.263924
2021-09-15 11:25:24.243558 : Epoch  4, Batch    139, Loss  0.886117, Average Loss  0.869722, Time  0.264130
2021-09-15 11:25:27.274942 : Epoch  4, Batch    140, Loss  0.853912, Average Loss  0.869709, Time  0.264515
2021-09-15 11:25:30.286984 : Epoch  4, Batch    141, Loss  0.856645, Average Loss  0.869657, Time  0.264092
2021-09-15 11:25:33.303507 : Epoch  4, Batch    142, Loss  0.869402, Average Loss  0.869624, Time  0.263348
2021-09-15 11:25:36.304932 : Epoch  4, Batch    143, Loss  0.890732, Average Loss  0.869674, Time  0.274472
2021-09-15 11:25:39.303299 : Epoch  4, Batch    144, Loss  0.865310, Average Loss  0.869604, Time  0.264617
2021-09-15 11:25:42.322811 : Epoch  4, Batch    145, Loss  0.850504, Average Loss  0.869586, Time  0.263901
2021-09-15 11:25:45.320485 : Epoch  4, Batch    146, Loss  0.860670, Average Loss  0.869609, Time  0.266613
2021-09-15 11:25:48.351088 : Epoch  4, Batch    147, Loss  0.886249, Average Loss  0.869745, Time  0.263815
2021-09-15 11:25:51.338743 : Epoch  4, Batch    148, Loss  0.865319, Average Loss  0.869766, Time  0.263490
2021-09-15 11:25:54.326968 : Epoch  4, Batch    149, Loss  0.862720, Average Loss  0.869686, Time  0.265229
2021-09-15 11:25:57.320175 : Epoch  4, Batch    150, Loss  0.860653, Average Loss  0.869725, Time  0.263659
2021-09-15 11:26:00.306313 : Epoch  4, Batch    151, Loss  0.875998, Average Loss  0.869721, Time  0.264557
2021-09-15 11:26:03.322971 : Epoch  4, Batch    152, Loss  0.855640, Average Loss  0.869796, Time  0.264291
2021-09-15 11:26:06.315616 : Epoch  4, Batch    153, Loss  0.850610, Average Loss  0.869675, Time  0.264784
2021-09-15 11:26:09.310194 : Epoch  4, Batch    154, Loss  0.889603, Average Loss  0.869865, Time  0.264567
2021-09-15 11:26:12.317935 : Epoch  4, Batch    155, Loss  0.875991, Average Loss  0.869941, Time  0.264737
2021-09-15 11:26:15.339357 : Epoch  4, Batch    156, Loss  0.869080, Average Loss  0.870005, Time  0.264450
2021-09-15 11:26:18.359912 : Epoch  4, Batch    157, Loss  0.891452, Average Loss  0.870087, Time  0.264093
2021-09-15 11:26:21.391228 : Epoch  4, Batch    158, Loss  0.874379, Average Loss  0.870039, Time  0.264613
2021-09-15 11:26:24.426600 : Epoch  4, Batch    159, Loss  0.883569, Average Loss  0.870083, Time  0.275586
2021-09-15 11:26:27.450943 : Epoch  4, Batch    160, Loss  0.880455, Average Loss  0.870233, Time  0.265278
2021-09-15 11:26:30.471170 : Epoch  4, Batch    161, Loss  0.865013, Average Loss  0.870197, Time  0.264931
2021-09-15 11:26:33.500365 : Epoch  4, Batch    162, Loss  0.878091, Average Loss  0.870190, Time  0.263583
2021-09-15 11:26:36.497154 : Epoch  4, Batch    163, Loss  0.889557, Average Loss  0.870300, Time  0.264692
2021-09-15 11:26:39.494854 : Epoch  4, Batch    164, Loss  0.885536, Average Loss  0.870375, Time  0.263658
2021-09-15 11:26:42.507257 : Epoch  4, Batch    165, Loss  0.866094, Average Loss  0.870207, Time  0.263796
2021-09-15 11:26:45.491045 : Epoch  4, Batch    166, Loss  0.849422, Average Loss  0.870110, Time  0.264712
2021-09-15 11:26:48.478448 : Epoch  4, Batch    167, Loss  0.893030, Average Loss  0.870248, Time  0.263565
2021-09-15 11:26:51.470483 : Epoch  4, Batch    168, Loss  0.848822, Average Loss  0.870187, Time  0.263528
2021-09-15 11:26:54.492259 : Epoch  4, Batch    169, Loss  0.864398, Average Loss  0.870192, Time  0.264760
2021-09-15 11:26:57.500776 : Epoch  4, Batch    170, Loss  0.900670, Average Loss  0.870370, Time  0.264403
2021-09-15 11:27:00.528107 : Epoch  4, Batch    171, Loss  0.844280, Average Loss  0.870348, Time  0.264469
2021-09-15 11:27:03.518810 : Epoch  4, Batch    172, Loss  0.865180, Average Loss  0.870338, Time  0.264061
2021-09-15 11:27:06.538130 : Epoch  4, Batch    173, Loss  0.886335, Average Loss  0.870502, Time  0.263962
2021-09-15 11:27:09.549059 : Epoch  4, Batch    174, Loss  0.877146, Average Loss  0.870617, Time  0.276263
2021-09-15 11:27:12.587744 : Epoch  4, Batch    175, Loss  0.862762, Average Loss  0.870607, Time  0.265476
2021-09-15 11:27:15.593776 : Epoch  4, Batch    176, Loss  0.870776, Average Loss  0.870602, Time  0.263584
2021-09-15 11:27:18.573500 : Epoch  4, Batch    177, Loss  0.849018, Average Loss  0.870595, Time  0.262352
2021-09-15 11:27:21.562097 : Epoch  4, Batch    178, Loss  0.881788, Average Loss  0.870655, Time  0.264163
2021-09-15 11:27:24.574781 : Epoch  4, Batch    179, Loss  0.859355, Average Loss  0.870690, Time  0.263965
2021-09-15 11:27:27.574402 : Epoch  4, Batch    180, Loss  0.865648, Average Loss  0.870723, Time  0.263479
2021-09-15 11:27:30.593230 : Epoch  4, Batch    181, Loss  0.878296, Average Loss  0.870705, Time  0.264452
2021-09-15 11:27:33.623993 : Epoch  4, Batch    182, Loss  0.855750, Average Loss  0.870587, Time  0.264562
2021-09-15 11:27:36.653866 : Epoch  4, Batch    183, Loss  0.871747, Average Loss  0.870555, Time  0.263918
2021-09-15 11:27:39.647271 : Epoch  4, Batch    184, Loss  0.907403, Average Loss  0.870873, Time  0.263257
2021-09-15 11:27:42.678191 : Epoch  4, Batch    185, Loss  0.876706, Average Loss  0.870856, Time  0.264473
2021-09-15 11:27:45.720232 : Epoch  4, Batch    186, Loss  0.868388, Average Loss  0.870803, Time  0.265379
2021-09-15 11:27:48.719155 : Epoch  4, Batch    187, Loss  0.889060, Average Loss  0.870919, Time  0.264257
2021-09-15 11:27:51.725857 : Epoch  4, Batch    188, Loss  0.883442, Average Loss  0.871065, Time  0.263598
2021-09-15 11:27:54.734368 : Epoch  4, Batch    189, Loss  0.870633, Average Loss  0.871108, Time  0.269918
2021-09-15 11:27:57.740000 : Epoch  4, Batch    190, Loss  0.862990, Average Loss  0.871059, Time  0.264003
2021-09-15 11:28:00.739982 : Epoch  4, Batch    191, Loss  0.895046, Average Loss  0.871216, Time  0.264414
2021-09-15 11:28:03.738507 : Epoch  4, Batch    192, Loss  0.856574, Average Loss  0.871146, Time  0.264501
2021-09-15 11:28:06.782192 : Epoch  4, Batch    193, Loss  0.847056, Average Loss  0.871043, Time  0.265870
2021-09-15 11:28:09.792684 : Epoch  4, Batch    194, Loss  0.850751, Average Loss  0.870893, Time  0.265687
2021-09-15 11:28:12.820112 : Epoch  4, Batch    195, Loss  0.875014, Average Loss  0.870968, Time  0.265184
2021-09-15 11:28:15.822279 : Epoch  4, Batch    196, Loss  0.875784, Average Loss  0.870994, Time  0.263570
2021-09-15 11:28:18.816722 : Epoch  4, Batch    197, Loss  0.852970, Average Loss  0.870899, Time  0.264755
2021-09-15 11:28:21.824097 : Epoch  4, Batch    198, Loss  0.877641, Average Loss  0.871044, Time  0.264718
2021-09-15 11:28:24.844899 : Epoch  4, Batch    199, Loss  0.860644, Average Loss  0.870977, Time  0.264775
2021-09-15 11:28:27.863756 : Epoch  4, Batch    200, Loss  0.868559, Average Loss  0.870930, Time  0.264068
2021-09-15 11:28:30.884556 : Epoch  4, Batch    201, Loss  0.879357, Average Loss  0.870934, Time  0.264992
2021-09-15 11:28:33.886163 : Epoch  4, Batch    202, Loss  0.893064, Average Loss  0.870991, Time  0.263918
2021-09-15 11:28:36.887934 : Epoch  4, Batch    203, Loss  0.885007, Average Loss  0.871042, Time  0.264892
2021-09-15 11:28:39.936672 : Epoch  4, Batch    204, Loss  0.886721, Average Loss  0.871091, Time  0.275802
2021-09-15 11:28:42.936447 : Epoch  4, Batch    205, Loss  0.875887, Average Loss  0.871100, Time  0.263956
2021-09-15 11:28:45.929123 : Epoch  4, Batch    206, Loss  0.884290, Average Loss  0.871028, Time  0.264958
2021-09-15 11:28:48.955966 : Epoch  4, Batch    207, Loss  0.875114, Average Loss  0.871045, Time  0.264197
2021-09-15 11:28:51.950763 : Epoch  4, Batch    208, Loss  0.846834, Average Loss  0.870946, Time  0.263660
2021-09-15 11:28:54.941677 : Epoch  4, Batch    209, Loss  0.871846, Average Loss  0.870969, Time  0.263779
2021-09-15 11:28:57.928644 : Epoch  4, Batch    210, Loss  0.874593, Average Loss  0.870983, Time  0.263603
2021-09-15 11:29:00.923241 : Epoch  4, Batch    211, Loss  0.869433, Average Loss  0.870906, Time  0.263720
2021-09-15 11:29:03.919645 : Epoch  4, Batch    212, Loss  0.866769, Average Loss  0.870913, Time  0.264053
2021-09-15 11:29:06.931233 : Epoch  4, Batch    213, Loss  0.871480, Average Loss  0.870987, Time  0.264447
2021-09-15 11:29:09.927895 : Epoch  4, Batch    214, Loss  0.853850, Average Loss  0.870946, Time  0.265275
2021-09-15 11:29:12.922205 : Epoch  4, Batch    215, Loss  0.881669, Average Loss  0.871041, Time  0.264448
2021-09-15 11:29:15.913432 : Epoch  4, Batch    216, Loss  0.872992, Average Loss  0.871267, Time  0.263775
2021-09-15 11:29:18.904514 : Epoch  4, Batch    217, Loss  0.869815, Average Loss  0.871426, Time  0.264135
2021-09-15 11:29:21.930370 : Epoch  4, Batch    218, Loss  0.853151, Average Loss  0.871248, Time  0.264255
2021-09-15 11:29:24.925767 : Epoch  4, Batch    219, Loss  0.882997, Average Loss  0.871327, Time  0.274638
2021-09-15 11:29:27.932189 : Epoch  4, Batch    220, Loss  0.876293, Average Loss  0.871425, Time  0.264559
2021-09-15 11:29:30.924706 : Epoch  4, Batch    221, Loss  0.888937, Average Loss  0.871500, Time  0.263785
2021-09-15 11:29:33.916733 : Epoch  4, Batch    222, Loss  0.895159, Average Loss  0.871610, Time  0.263858
2021-09-15 11:29:36.921516 : Epoch  4, Batch    223, Loss  0.871756, Average Loss  0.871628, Time  0.263810
2021-09-15 11:29:39.928594 : Epoch  4, Batch    224, Loss  0.868899, Average Loss  0.871686, Time  0.264041
2021-09-15 11:29:42.965909 : Epoch  4, Batch    225, Loss  0.871997, Average Loss  0.871746, Time  0.264548
2021-09-15 11:29:45.954508 : Epoch  4, Batch    226, Loss  0.841764, Average Loss  0.871631, Time  0.264098
2021-09-15 11:29:48.967341 : Epoch  4, Batch    227, Loss  0.855020, Average Loss  0.871636, Time  0.263614
2021-09-15 11:29:51.946708 : Epoch  4, Batch    228, Loss  0.883973, Average Loss  0.871793, Time  0.263828
2021-09-15 11:29:54.982389 : Epoch  4, Batch    229, Loss  0.878191, Average Loss  0.871924, Time  0.264634
2021-09-15 11:29:58.015302 : Epoch  4, Batch    230, Loss  0.884972, Average Loss  0.872024, Time  0.265158
2021-09-15 11:30:01.014610 : Epoch  4, Batch    231, Loss  0.876716, Average Loss  0.872012, Time  0.264396
2021-09-15 11:30:04.033709 : Epoch  4, Batch    232, Loss  0.878432, Average Loss  0.872055, Time  0.263903
2021-09-15 11:34:43.050508 : CheckPoint: Validation Loss  0.00030785, Best Loss  0.00029236
2021-09-15 11:34:46.060887 : Epoch  4, Batch    233, Loss  0.878830, Average Loss  0.872129, Time  0.266490
2021-09-15 11:34:49.082064 : Epoch  4, Batch    234, Loss  0.867659, Average Loss  0.872122, Time  0.276073
2021-09-15 11:34:52.102722 : Epoch  4, Batch    235, Loss  0.870426, Average Loss  0.872050, Time  0.265875
2021-09-15 11:34:55.122390 : Epoch  4, Batch    236, Loss  0.879271, Average Loss  0.872125, Time  0.264681
2021-09-15 11:34:58.159058 : Epoch  4, Batch    237, Loss  0.872360, Average Loss  0.872066, Time  0.265029
2021-09-15 11:35:01.169537 : Epoch  4, Batch    238, Loss  0.857404, Average Loss  0.872080, Time  0.263891
2021-09-15 11:35:04.163353 : Epoch  4, Batch    239, Loss  0.896152, Average Loss  0.872214, Time  0.264151
2021-09-15 11:35:07.162541 : Epoch  4, Batch    240, Loss  0.853672, Average Loss  0.872069, Time  0.264330
2021-09-15 11:35:10.157890 : Epoch  4, Batch    241, Loss  0.869269, Average Loss  0.871934, Time  0.263519
2021-09-15 11:35:13.155175 : Epoch  4, Batch    242, Loss  0.880061, Average Loss  0.871992, Time  0.263294
2021-09-15 11:35:16.147422 : Epoch  4, Batch    243, Loss  0.881536, Average Loss  0.871947, Time  0.264509
2021-09-15 11:35:19.156664 : Epoch  4, Batch    244, Loss  0.858617, Average Loss  0.871875, Time  0.264179
2021-09-15 11:35:22.156650 : Epoch  4, Batch    245, Loss  0.881697, Average Loss  0.871988, Time  0.263499
2021-09-15 11:35:25.141895 : Epoch  4, Batch    246, Loss  0.860622, Average Loss  0.872060, Time  0.263419
2021-09-15 11:35:28.172769 : Epoch  4, Batch    247, Loss  0.895872, Average Loss  0.872196, Time  0.264319
2021-09-15 11:35:31.203070 : Epoch  4, Batch    248, Loss  0.859348, Average Loss  0.872040, Time  0.264363
2021-09-15 11:35:34.254536 : Epoch  4, Batch    249, Loss  0.893570, Average Loss  0.872173, Time  0.275515
2021-09-15 11:35:37.289565 : Epoch  4, Batch    250, Loss  0.876683, Average Loss  0.872248, Time  0.264831
2021-09-15 11:35:40.303056 : Epoch  4, Batch    251, Loss  0.892871, Average Loss  0.872287, Time  0.263402
2021-09-15 11:35:43.301488 : Epoch  4, Batch    252, Loss  0.863331, Average Loss  0.872243, Time  0.264420
2021-09-15 11:35:46.293761 : Epoch  4, Batch    253, Loss  0.839336, Average Loss  0.872087, Time  0.263760
2021-09-15 11:35:49.285566 : Epoch  4, Batch    254, Loss  0.889725, Average Loss  0.872143, Time  0.263823
2021-09-15 11:35:52.318128 : Epoch  4, Batch    255, Loss  0.863607, Average Loss  0.872100, Time  0.264526
2021-09-15 11:35:55.347797 : Epoch  4, Batch    256, Loss  0.872663, Average Loss  0.872036, Time  0.264945
2021-09-15 11:35:58.338040 : Epoch  4, Batch    257, Loss  0.861492, Average Loss  0.872007, Time  0.264670
2021-09-15 11:36:01.337114 : Epoch  4, Batch    258, Loss  0.876396, Average Loss  0.872078, Time  0.264214
2021-09-15 11:36:04.327765 : Epoch  4, Batch    259, Loss  0.873029, Average Loss  0.872053, Time  0.263487
2021-09-15 11:36:07.357239 : Epoch  4, Batch    260, Loss  0.900168, Average Loss  0.872294, Time  0.265281
2021-09-15 11:36:10.362768 : Epoch  4, Batch    261, Loss  0.845858, Average Loss  0.872149, Time  0.264245
2021-09-15 11:36:13.387272 : Epoch  4, Batch    262, Loss  0.860371, Average Loss  0.872179, Time  0.264450
2021-09-15 11:36:16.400648 : Epoch  4, Batch    263, Loss  0.881471, Average Loss  0.872195, Time  0.264148
2021-09-15 11:36:19.451636 : Epoch  4, Batch    264, Loss  0.880816, Average Loss  0.872139, Time  0.279447
2021-09-15 11:36:22.460661 : Epoch  4, Batch    265, Loss  0.880887, Average Loss  0.872164, Time  0.264723
2021-09-15 11:36:25.465264 : Epoch  4, Batch    266, Loss  0.880069, Average Loss  0.872208, Time  0.263738
2021-09-15 11:36:28.467736 : Epoch  4, Batch    267, Loss  0.871545, Average Loss  0.872275, Time  0.266095
2021-09-15 11:36:31.485224 : Epoch  4, Batch    268, Loss  0.852098, Average Loss  0.872153, Time  0.264299
2021-09-15 11:36:34.509050 : Epoch  4, Batch    269, Loss  0.874191, Average Loss  0.872153, Time  0.265609
2021-09-15 11:36:37.519799 : Epoch  4, Batch    270, Loss  0.862627, Average Loss  0.872095, Time  0.263654
2021-09-15 11:36:40.512049 : Epoch  4, Batch    271, Loss  0.878957, Average Loss  0.872190, Time  0.264292
2021-09-15 11:36:43.518780 : Epoch  4, Batch    272, Loss  0.864196, Average Loss  0.872217, Time  0.263588
2021-09-15 11:36:46.536551 : Epoch  4, Batch    273, Loss  0.880005, Average Loss  0.872259, Time  0.264041
2021-09-15 11:36:49.541377 : Epoch  4, Batch    274, Loss  0.869894, Average Loss  0.872263, Time  0.263583
2021-09-15 11:36:52.584080 : Epoch  4, Batch    275, Loss  0.876089, Average Loss  0.872232, Time  0.264076
2021-09-15 11:36:55.604143 : Epoch  4, Batch    276, Loss  0.869100, Average Loss  0.872204, Time  0.265168
2021-09-15 11:36:58.602359 : Epoch  4, Batch    277, Loss  0.853348, Average Loss  0.872152, Time  0.264219
2021-09-15 11:37:01.619908 : Epoch  4, Batch    278, Loss  0.878878, Average Loss  0.872168, Time  0.264616
2021-09-15 11:37:04.673808 : Epoch  4, Batch    279, Loss  0.852897, Average Loss  0.872006, Time  0.274775
2021-09-15 11:37:07.680966 : Epoch  4, Batch    280, Loss  0.861081, Average Loss  0.871963, Time  0.264342
2021-09-15 11:37:10.691409 : Epoch  4, Batch    281, Loss  0.878932, Average Loss  0.872046, Time  0.264676
2021-09-15 11:37:13.727741 : Epoch  4, Batch    282, Loss  0.895462, Average Loss  0.872165, Time  0.263875
2021-09-15 11:37:16.726956 : Epoch  4, Batch    283, Loss  0.861324, Average Loss  0.872017, Time  0.263294
2021-09-15 11:37:19.740382 : Epoch  4, Batch    284, Loss  0.881498, Average Loss  0.872025, Time  0.264078
2021-09-15 11:37:22.743518 : Epoch  4, Batch    285, Loss  0.861778, Average Loss  0.871938, Time  0.263772
2021-09-15 11:37:25.727143 : Epoch  4, Batch    286, Loss  0.855180, Average Loss  0.871917, Time  0.263832
2021-09-15 11:37:28.720683 : Epoch  4, Batch    287, Loss  0.866672, Average Loss  0.871909, Time  0.264312
2021-09-15 11:37:31.738482 : Epoch  4, Batch    288, Loss  0.865071, Average Loss  0.871974, Time  0.263245
2021-09-15 11:37:34.745846 : Epoch  4, Batch    289, Loss  0.859668, Average Loss  0.872014, Time  0.264444
2021-09-15 11:37:37.747889 : Epoch  4, Batch    290, Loss  0.905802, Average Loss  0.872102, Time  0.264408
2021-09-15 11:37:40.749726 : Epoch  4, Batch    291, Loss  0.866184, Average Loss  0.871963, Time  0.264039
2021-09-15 11:37:43.776263 : Epoch  4, Batch    292, Loss  0.872076, Average Loss  0.872020, Time  0.264863
2021-09-15 11:37:46.796668 : Epoch  4, Batch    293, Loss  0.850531, Average Loss  0.871917, Time  0.263592
2021-09-15 11:37:49.809661 : Epoch  4, Batch    294, Loss  0.860598, Average Loss  0.871829, Time  0.272080
2021-09-15 11:37:52.810210 : Epoch  4, Batch    295, Loss  0.892549, Average Loss  0.871937, Time  0.264726
2021-09-15 11:37:55.810572 : Epoch  4, Batch    296, Loss  0.874444, Average Loss  0.871881, Time  0.265023
2021-09-15 11:37:58.840516 : Epoch  4, Batch    297, Loss  0.876035, Average Loss  0.871794, Time  0.265453
2021-09-15 11:38:01.867769 : Epoch  4, Batch    298, Loss  0.889882, Average Loss  0.871842, Time  0.263321
2021-09-15 11:38:04.936468 : Epoch  4, Batch    299, Loss  0.870641, Average Loss  0.871802, Time  0.263549
2021-09-15 11:38:07.935101 : Epoch  4, Batch    300, Loss  0.873195, Average Loss  0.871769, Time  0.264478
2021-09-15 11:38:10.938255 : Epoch  4, Batch    301, Loss  0.875892, Average Loss  0.871801, Time  0.264889
2021-09-15 11:38:13.973008 : Epoch  4, Batch    302, Loss  0.879564, Average Loss  0.871862, Time  0.264649
2021-09-15 11:38:17.013064 : Epoch  4, Batch    303, Loss  0.880294, Average Loss  0.871828, Time  0.264325
2021-09-15 11:38:20.013407 : Epoch  4, Batch    304, Loss  0.878889, Average Loss  0.871850, Time  0.264490
2021-09-15 11:38:23.045944 : Epoch  4, Batch    305, Loss  0.871538, Average Loss  0.871876, Time  0.264870
2021-09-15 11:38:26.060123 : Epoch  4, Batch    306, Loss  0.870949, Average Loss  0.871797, Time  0.262938
2021-09-15 11:38:29.058974 : Epoch  4, Batch    307, Loss  0.869615, Average Loss  0.871590, Time  0.264342
2021-09-15 11:38:32.052082 : Epoch  4, Batch    308, Loss  0.836468, Average Loss  0.871436, Time  0.263659
2021-09-15 11:38:35.050995 : Epoch  4, Batch    309, Loss  0.875605, Average Loss  0.871433, Time  0.275126
2021-09-15 11:38:38.057436 : Epoch  4, Batch    310, Loss  0.881969, Average Loss  0.871503, Time  0.263478
2021-09-15 11:38:41.067715 : Epoch  4, Batch    311, Loss  0.840600, Average Loss  0.871427, Time  0.264012
2021-09-15 11:38:44.091831 : Epoch  4, Batch    312, Loss  0.870722, Average Loss  0.871562, Time  0.263550
2021-09-15 11:38:47.087312 : Epoch  4, Batch    313, Loss  0.878016, Average Loss  0.871661, Time  0.263665
2021-09-15 11:38:50.100548 : Epoch  4, Batch    314, Loss  0.851932, Average Loss  0.871623, Time  0.263744
2021-09-15 11:38:53.098630 : Epoch  4, Batch    315, Loss  0.883930, Average Loss  0.871713, Time  0.264510
2021-09-15 11:38:56.103683 : Epoch  4, Batch    316, Loss  0.885480, Average Loss  0.871688, Time  0.263536
2021-09-15 11:38:59.094495 : Epoch  4, Batch    317, Loss  0.877054, Average Loss  0.871618, Time  0.262052
2021-09-15 11:39:02.098666 : Epoch  4, Batch    318, Loss  0.875309, Average Loss  0.871556, Time  0.263374
2021-09-15 11:39:05.126661 : Epoch  4, Batch    319, Loss  0.892642, Average Loss  0.871700, Time  0.264493
2021-09-15 11:39:08.170452 : Epoch  4, Batch    320, Loss  0.893558, Average Loss  0.871912, Time  0.263670
2021-09-15 11:39:11.191747 : Epoch  4, Batch    321, Loss  0.862098, Average Loss  0.871938, Time  0.263696
2021-09-15 11:39:14.233178 : Epoch  4, Batch    322, Loss  0.879065, Average Loss  0.872022, Time  0.263418
2021-09-15 11:39:17.223679 : Epoch  4, Batch    323, Loss  0.869211, Average Loss  0.871931, Time  0.263167
2021-09-15 11:39:20.237843 : Epoch  4, Batch    324, Loss  0.850593, Average Loss  0.871754, Time  0.272001
2021-09-15 11:39:23.243412 : Epoch  4, Batch    325, Loss  0.862813, Average Loss  0.871696, Time  0.263529
2021-09-15 11:39:26.237131 : Epoch  4, Batch    326, Loss  0.855474, Average Loss  0.871616, Time  0.262956
2021-09-15 11:39:29.273061 : Epoch  4, Batch    327, Loss  0.849508, Average Loss  0.871573, Time  0.264267
2021-09-15 11:39:32.302896 : Epoch  4, Batch    328, Loss  0.872248, Average Loss  0.871568, Time  0.263529
2021-09-15 11:39:35.301262 : Epoch  4, Batch    329, Loss  0.882930, Average Loss  0.871588, Time  0.262943
2021-09-15 11:39:38.317064 : Epoch  4, Batch    330, Loss  0.875847, Average Loss  0.871696, Time  0.264074
2021-09-15 11:39:41.349257 : Epoch  4, Batch    331, Loss  0.867185, Average Loss  0.871674, Time  0.263690
2021-09-15 11:39:44.386434 : Epoch  4, Batch    332, Loss  0.886268, Average Loss  0.871716, Time  0.263869
2021-09-15 11:44:24.165891 : CheckPoint: Validation Loss  0.00030862, Best Loss  0.00029236
2021-09-15 11:44:27.157827 : Epoch  4, Batch    333, Loss  0.879577, Average Loss  0.871705, Time  0.264414
2021-09-15 11:44:30.160180 : Epoch  4, Batch    334, Loss  0.864530, Average Loss  0.871724, Time  0.263759
2021-09-15 11:44:33.185279 : Epoch  4, Batch    335, Loss  0.880558, Average Loss  0.871749, Time  0.264365
2021-09-15 11:44:36.189279 : Epoch  4, Batch    336, Loss  0.873804, Average Loss  0.871795, Time  0.265141
2021-09-15 11:44:39.202803 : Epoch  4, Batch    337, Loss  0.855183, Average Loss  0.871652, Time  0.263300
2021-09-15 11:44:42.203677 : Epoch  4, Batch    338, Loss  0.863862, Average Loss  0.871739, Time  0.265731
2021-09-15 11:44:45.243498 : Epoch  4, Batch    339, Loss  0.839575, Average Loss  0.871506, Time  0.275389
2021-09-15 11:44:48.294920 : Epoch  4, Batch    340, Loss  0.867757, Average Loss  0.871575, Time  0.264256
2021-09-15 11:44:51.305188 : Epoch  4, Batch    341, Loss  0.871327, Average Loss  0.871648, Time  0.263222
2021-09-15 11:44:54.326773 : Epoch  4, Batch    342, Loss  0.877758, Average Loss  0.871690, Time  0.263656
2021-09-15 11:44:57.327397 : Epoch  4, Batch    343, Loss  0.848731, Average Loss  0.871480, Time  0.263242
2021-09-15 11:45:00.331965 : Epoch  4, Batch    344, Loss  0.849357, Average Loss  0.871400, Time  0.263489
2021-09-15 11:45:03.354759 : Epoch  4, Batch    345, Loss  0.864514, Average Loss  0.871471, Time  0.263885
2021-09-15 11:45:06.360667 : Epoch  4, Batch    346, Loss  0.880403, Average Loss  0.871569, Time  0.263739
2021-09-15 11:45:09.396305 : Epoch  4, Batch    347, Loss  0.867985, Average Loss  0.871478, Time  0.264254
2021-09-15 11:45:12.405607 : Epoch  4, Batch    348, Loss  0.869268, Average Loss  0.871498, Time  0.263101
2021-09-15 11:45:15.436036 : Epoch  4, Batch    349, Loss  0.866493, Average Loss  0.871516, Time  0.263793
2021-09-15 11:45:18.455553 : Epoch  4, Batch    350, Loss  0.881819, Average Loss  0.871622, Time  0.264179
2021-09-15 11:45:21.457227 : Epoch  4, Batch    351, Loss  0.869415, Average Loss  0.871589, Time  0.263078
2021-09-15 11:45:24.454705 : Epoch  4, Batch    352, Loss  0.863085, Average Loss  0.871627, Time  0.263941
2021-09-15 11:45:27.457274 : Epoch  4, Batch    353, Loss  0.875899, Average Loss  0.871753, Time  0.263016
2021-09-15 11:45:30.462566 : Epoch  4, Batch    354, Loss  0.885426, Average Loss  0.871732, Time  0.276281
2021-09-15 11:45:33.486838 : Epoch  4, Batch    355, Loss  0.883871, Average Loss  0.871772, Time  0.264490
2021-09-15 11:45:36.501302 : Epoch  4, Batch    356, Loss  0.852545, Average Loss  0.871689, Time  0.265866
2021-09-15 11:45:39.505609 : Epoch  4, Batch    357, Loss  0.871110, Average Loss  0.871587, Time  0.263605
2021-09-15 11:45:42.511130 : Epoch  4, Batch    358, Loss  0.862505, Average Loss  0.871528, Time  0.264693
2021-09-15 11:45:45.510904 : Epoch  4, Batch    359, Loss  0.861538, Average Loss  0.871418, Time  0.263058
2021-09-15 11:45:48.521474 : Epoch  4, Batch    360, Loss  0.861423, Average Loss  0.871323, Time  0.265446
2021-09-15 11:45:51.550173 : Epoch  4, Batch    361, Loss  0.853638, Average Loss  0.871266, Time  0.263462
2021-09-15 11:45:54.526280 : Epoch  4, Batch    362, Loss  0.858409, Average Loss  0.871167, Time  0.263376
2021-09-15 11:45:57.528267 : Epoch  4, Batch    363, Loss  0.852357, Average Loss  0.870981, Time  0.264077
2021-09-15 11:46:00.536904 : Epoch  4, Batch    364, Loss  0.868183, Average Loss  0.870894, Time  0.263048
2021-09-15 11:46:03.531724 : Epoch  4, Batch    365, Loss  0.869105, Average Loss  0.870910, Time  0.263224
2021-09-15 11:46:06.557431 : Epoch  4, Batch    366, Loss  0.859306, Average Loss  0.870959, Time  0.264715
2021-09-15 11:46:09.554484 : Epoch  4, Batch    367, Loss  0.873283, Average Loss  0.870860, Time  0.263007
2021-09-15 11:46:12.558913 : Epoch  4, Batch    368, Loss  0.868750, Average Loss  0.870960, Time  0.263534
2021-09-15 11:46:15.566315 : Epoch  4, Batch    369, Loss  0.867854, Average Loss  0.870977, Time  0.277240
2021-09-15 11:46:18.589307 : Epoch  4, Batch    370, Loss  0.878886, Average Loss  0.870868, Time  0.264412
2021-09-15 11:46:21.588408 : Epoch  4, Batch    371, Loss  0.861096, Average Loss  0.870952, Time  0.263179
2021-09-15 11:46:24.612470 : Epoch  4, Batch    372, Loss  0.892721, Average Loss  0.871090, Time  0.263067
2021-09-15 11:46:27.608114 : Epoch  4, Batch    373, Loss  0.857314, Average Loss  0.870945, Time  0.263648
2021-09-15 11:46:30.595478 : Epoch  4, Batch    374, Loss  0.865436, Average Loss  0.870886, Time  0.263572
2021-09-15 11:46:33.585980 : Epoch  4, Batch    375, Loss  0.865473, Average Loss  0.870900, Time  0.263264
2021-09-15 11:46:36.582034 : Epoch  4, Batch    376, Loss  0.867264, Average Loss  0.870882, Time  0.264252
2021-09-15 11:46:39.604036 : Epoch  4, Batch    377, Loss  0.854213, Average Loss  0.870908, Time  0.265027
2021-09-15 11:46:42.627719 : Epoch  4, Batch    378, Loss  0.863945, Average Loss  0.870819, Time  0.264783
2021-09-15 11:46:45.637711 : Epoch  4, Batch    379, Loss  0.862930, Average Loss  0.870837, Time  0.263320
2021-09-15 11:46:48.638996 : Epoch  4, Batch    380, Loss  0.882868, Average Loss  0.870923, Time  0.262437
2021-09-15 11:46:51.654644 : Epoch  4, Batch    381, Loss  0.888753, Average Loss  0.870975, Time  0.264335
2021-09-15 11:46:54.688207 : Epoch  4, Batch    382, Loss  0.882478, Average Loss  0.871109, Time  0.263930
2021-09-15 11:46:57.698399 : Epoch  4, Batch    383, Loss  0.876229, Average Loss  0.871131, Time  0.263565
2021-09-15 11:47:00.706810 : Epoch  4, Batch    384, Loss  0.845956, Average Loss  0.870824, Time  0.276150
2021-09-15 11:47:03.694145 : Epoch  4, Batch    385, Loss  0.868957, Average Loss  0.870785, Time  0.263495
2021-09-15 11:47:06.716631 : Epoch  4, Batch    386, Loss  0.869506, Average Loss  0.870791, Time  0.264589
2021-09-15 11:47:09.735929 : Epoch  4, Batch    387, Loss  0.874840, Average Loss  0.870720, Time  0.263168
2021-09-15 11:47:12.732329 : Epoch  4, Batch    388, Loss  0.867044, Average Loss  0.870638, Time  0.263301
2021-09-15 11:47:15.750830 : Epoch  4, Batch    389, Loss  0.870523, Average Loss  0.870637, Time  0.263839
2021-09-15 11:47:18.778093 : Epoch  4, Batch    390, Loss  0.876455, Average Loss  0.870705, Time  0.263421
2021-09-15 11:47:21.780669 : Epoch  4, Batch    391, Loss  0.856261, Average Loss  0.870511, Time  0.264067
2021-09-15 11:47:24.816171 : Epoch  4, Batch    392, Loss  0.862344, Average Loss  0.870540, Time  0.264892
2021-09-15 11:47:27.837959 : Epoch  4, Batch    393, Loss  0.874288, Average Loss  0.870676, Time  0.263851
2021-09-15 11:47:30.841984 : Epoch  4, Batch    394, Loss  0.870126, Average Loss  0.870773, Time  0.263078
2021-09-15 11:47:33.838892 : Epoch  4, Batch    395, Loss  0.876544, Average Loss  0.870780, Time  0.263142
2021-09-15 11:47:36.853725 : Epoch  4, Batch    396, Loss  0.887082, Average Loss  0.870837, Time  0.263272
2021-09-15 11:47:39.861935 : Epoch  4, Batch    397, Loss  0.859599, Average Loss  0.870870, Time  0.264375
2021-09-15 11:47:42.866241 : Epoch  4, Batch    398, Loss  0.869469, Average Loss  0.870829, Time  0.264223
2021-09-15 11:47:45.883480 : Epoch  4, Batch    399, Loss  0.852767, Average Loss  0.870790, Time  0.276203
2021-09-15 11:47:48.876407 : Epoch  4, Batch    400, Loss  0.855883, Average Loss  0.870726, Time  0.263185
2021-09-15 11:47:51.875844 : Epoch  4, Batch    401, Loss  0.866110, Average Loss  0.870660, Time  0.263136
2021-09-15 11:47:54.868782 : Epoch  4, Batch    402, Loss  0.883691, Average Loss  0.870613, Time  0.263849
2021-09-15 11:47:57.878450 : Epoch  4, Batch    403, Loss  0.863091, Average Loss  0.870504, Time  0.264285
2021-09-15 11:48:00.911071 : Epoch  4, Batch    404, Loss  0.884334, Average Loss  0.870492, Time  0.263402
2021-09-15 11:48:03.945692 : Epoch  4, Batch    405, Loss  0.883610, Average Loss  0.870530, Time  0.264295
2021-09-15 11:48:06.989706 : Epoch  4, Batch    406, Loss  0.865571, Average Loss  0.870437, Time  0.264674
2021-09-15 11:48:09.992917 : Epoch  4, Batch    407, Loss  0.847057, Average Loss  0.870296, Time  0.264059
2021-09-15 11:48:12.977145 : Epoch  4, Batch    408, Loss  0.870005, Average Loss  0.870412, Time  0.263173
2021-09-15 11:48:16.005733 : Epoch  4, Batch    409, Loss  0.860269, Average Loss  0.870354, Time  0.264590
2021-09-15 11:48:19.027736 : Epoch  4, Batch    410, Loss  0.854483, Average Loss  0.870254, Time  0.263840
2021-09-15 11:48:22.052471 : Epoch  4, Batch    411, Loss  0.891387, Average Loss  0.870364, Time  0.263729
2021-09-15 11:48:25.088370 : Epoch  4, Batch    412, Loss  0.873605, Average Loss  0.870398, Time  0.263386
2021-09-15 11:48:28.096714 : Epoch  4, Batch    413, Loss  0.862072, Average Loss  0.870351, Time  0.264367
2021-09-15 11:48:31.136617 : Epoch  4, Batch    414, Loss  0.895825, Average Loss  0.870561, Time  0.275846
2021-09-15 11:48:34.162336 : Epoch  4, Batch    415, Loss  0.833321, Average Loss  0.870319, Time  0.264099
2021-09-15 11:48:37.172659 : Epoch  4, Batch    416, Loss  0.874950, Average Loss  0.870329, Time  0.263685
2021-09-15 11:48:40.216143 : Epoch  4, Batch    417, Loss  0.871971, Average Loss  0.870339, Time  0.266345
2021-09-15 11:48:43.217730 : Epoch  4, Batch    418, Loss  0.866502, Average Loss  0.870406, Time  0.263771
2021-09-15 11:48:46.229960 : Epoch  4, Batch    419, Loss  0.851340, Average Loss  0.870248, Time  0.265118
2021-09-15 11:48:49.241608 : Epoch  4, Batch    420, Loss  0.868089, Average Loss  0.870207, Time  0.263552
2021-09-15 11:48:52.247528 : Epoch  4, Batch    421, Loss  0.884425, Average Loss  0.870184, Time  0.263891
2021-09-15 11:48:55.285115 : Epoch  4, Batch    422, Loss  0.881337, Average Loss  0.870115, Time  0.263828
2021-09-15 11:48:58.325148 : Epoch  4, Batch    423, Loss  0.842534, Average Loss  0.869969, Time  0.263643
2021-09-15 11:49:01.346171 : Epoch  4, Batch    424, Loss  0.875098, Average Loss  0.870000, Time  0.263740
2021-09-15 11:49:04.368526 : Epoch  4, Batch    425, Loss  0.871138, Average Loss  0.869996, Time  0.264135
2021-09-15 11:49:07.398856 : Epoch  4, Batch    426, Loss  0.879463, Average Loss  0.870184, Time  0.264292
2021-09-15 11:49:10.400805 : Epoch  4, Batch    427, Loss  0.871166, Average Loss  0.870265, Time  0.263806
2021-09-15 11:49:13.392921 : Epoch  4, Batch    428, Loss  0.874596, Average Loss  0.870218, Time  0.264081
2021-09-15 11:49:16.399395 : Epoch  4, Batch    429, Loss  0.860748, Average Loss  0.870131, Time  0.277602
2021-09-15 11:49:19.403763 : Epoch  4, Batch    430, Loss  0.863180, Average Loss  0.870022, Time  0.264033
2021-09-15 11:49:22.400404 : Epoch  4, Batch    431, Loss  0.868949, Average Loss  0.869983, Time  0.263479
2021-09-15 11:49:33.195237 : Epoch  4, Batch    432, Loss  0.853633, Average Loss  0.869859, Time  0.264616
2021-09-15 11:54:10.461108 : CheckPoint: Validation Loss  0.00030623, Best Loss  0.00029236
2021-09-15 11:54:13.466253 : Epoch  4, Batch    433, Loss  0.847383, Average Loss  0.869702, Time  0.265885
2021-09-15 11:54:16.470628 : Epoch  4, Batch    434, Loss  0.862446, Average Loss  0.869676, Time  0.263268
2021-09-15 11:54:19.484186 : Epoch  4, Batch    435, Loss  0.858410, Average Loss  0.869616, Time  0.262815
2021-09-15 11:54:22.479375 : Epoch  4, Batch    436, Loss  0.890390, Average Loss  0.869671, Time  0.264787
2021-09-15 11:54:25.470178 : Epoch  4, Batch    437, Loss  0.867409, Average Loss  0.869647, Time  0.263147
2021-09-15 11:54:28.464951 : Epoch  4, Batch    438, Loss  0.861017, Average Loss  0.869665, Time  0.264204
2021-09-15 11:54:31.449636 : Epoch  4, Batch    439, Loss  0.859968, Average Loss  0.869484, Time  0.263425
2021-09-15 11:54:34.449769 : Epoch  4, Batch    440, Loss  0.855972, Average Loss  0.869495, Time  0.263065
2021-09-15 11:54:37.437418 : Epoch  4, Batch    441, Loss  0.897442, Average Loss  0.869636, Time  0.263120
2021-09-15 11:54:40.443558 : Epoch  4, Batch    442, Loss  0.891846, Average Loss  0.869695, Time  0.277678
2021-09-15 11:54:43.439884 : Epoch  4, Batch    443, Loss  0.877121, Average Loss  0.869673, Time  0.263827
2021-09-15 11:54:46.471772 : Epoch  4, Batch    444, Loss  0.876705, Average Loss  0.869763, Time  0.263543
2021-09-15 11:54:49.463778 : Epoch  4, Batch    445, Loss  0.872082, Average Loss  0.869715, Time  0.263867
2021-09-15 11:54:52.465802 : Epoch  4, Batch    446, Loss  0.890092, Average Loss  0.869863, Time  0.263129
2021-09-15 11:54:55.474342 : Epoch  4, Batch    447, Loss  0.846123, Average Loss  0.869614, Time  0.263943
2021-09-15 11:54:58.480573 : Epoch  4, Batch    448, Loss  0.884135, Average Loss  0.869738, Time  0.263948
2021-09-15 11:55:01.473074 : Epoch  4, Batch    449, Loss  0.856759, Average Loss  0.869554, Time  0.263815
2021-09-15 11:55:04.469416 : Epoch  4, Batch    450, Loss  0.874039, Average Loss  0.869541, Time  0.263198
2021-09-15 11:55:07.543591 : Epoch  4, Batch    451, Loss  0.874961, Average Loss  0.869451, Time  0.263741
2021-09-15 11:55:10.552510 : Epoch  4, Batch    452, Loss  0.858437, Average Loss  0.869427, Time  0.264333
2021-09-15 11:55:13.559864 : Epoch  4, Batch    453, Loss  0.852916, Average Loss  0.869495, Time  0.263363
2021-09-15 11:55:16.566995 : Epoch  4, Batch    454, Loss  0.853133, Average Loss  0.869312, Time  0.263613
2021-09-15 11:55:19.557455 : Epoch  4, Batch    455, Loss  0.867656, Average Loss  0.869332, Time  0.264120
2021-09-15 11:55:22.565930 : Epoch  4, Batch    456, Loss  0.872860, Average Loss  0.869333, Time  0.264364
2021-09-15 11:55:25.601464 : Epoch  4, Batch    457, Loss  0.873789, Average Loss  0.869394, Time  0.277489
2021-09-15 11:55:28.596169 : Epoch  4, Batch    458, Loss  0.853628, Average Loss  0.869280, Time  0.264314
2021-09-15 11:55:31.575881 : Epoch  4, Batch    459, Loss  0.857860, Average Loss  0.869205, Time  0.263480
2021-09-15 11:55:34.583959 : Epoch  4, Batch    460, Loss  0.877303, Average Loss  0.869090, Time  0.263647
2021-09-15 11:55:37.575330 : Epoch  4, Batch    461, Loss  0.855269, Average Loss  0.869137, Time  0.263492
2021-09-15 11:55:40.573706 : Epoch  4, Batch    462, Loss  0.878458, Average Loss  0.869228, Time  0.262929
2021-09-15 11:55:43.570422 : Epoch  4, Batch    463, Loss  0.885178, Average Loss  0.869246, Time  0.264025
2021-09-15 11:55:46.576894 : Epoch  4, Batch    464, Loss  0.845541, Average Loss  0.869070, Time  0.263317
2021-09-15 11:55:49.574791 : Epoch  4, Batch    465, Loss  0.840514, Average Loss  0.868868, Time  0.265274
2021-09-15 11:55:52.583601 : Epoch  4, Batch    466, Loss  0.887591, Average Loss  0.868906, Time  0.264244
2021-09-15 11:55:55.571710 : Epoch  4, Batch    467, Loss  0.870873, Average Loss  0.868902, Time  0.263369
2021-09-15 11:55:58.563822 : Epoch  4, Batch    468, Loss  0.875751, Average Loss  0.869021, Time  0.263579
2021-09-15 11:56:01.559508 : Epoch  4, Batch    469, Loss  0.876584, Average Loss  0.869033, Time  0.262998
2021-09-15 11:56:04.568263 : Epoch  4, Batch    470, Loss  0.891500, Average Loss  0.869177, Time  0.263587
2021-09-15 11:56:07.561621 : Epoch  4, Batch    471, Loss  0.884283, Average Loss  0.869204, Time  0.263520
2021-09-15 11:56:10.573891 : Epoch  4, Batch    472, Loss  0.868223, Average Loss  0.869224, Time  0.276114
2021-09-15 11:56:13.613332 : Epoch  4, Batch    473, Loss  0.863539, Average Loss  0.869141, Time  0.264163
2021-09-15 11:56:16.616208 : Epoch  4, Batch    474, Loss  0.885439, Average Loss  0.869219, Time  0.262881
2021-09-15 11:56:19.605631 : Epoch  4, Batch    475, Loss  0.885677, Average Loss  0.869267, Time  0.263262
2021-09-15 11:56:22.609579 : Epoch  4, Batch    476, Loss  0.858744, Average Loss  0.869215, Time  0.263359
2021-09-15 11:56:25.611781 : Epoch  4, Batch    477, Loss  0.866184, Average Loss  0.869279, Time  0.265535
2021-09-15 11:56:28.639304 : Epoch  4, Batch    478, Loss  0.877764, Average Loss  0.869274, Time  0.264295
2021-09-15 11:56:31.669595 : Epoch  4, Batch    479, Loss  0.887634, Average Loss  0.869448, Time  0.264480
2021-09-15 11:56:34.694217 : Epoch  4, Batch    480, Loss  0.838245, Average Loss  0.869333, Time  0.263151
2021-09-15 11:56:37.689340 : Epoch  4, Batch    481, Loss  0.873238, Average Loss  0.869305, Time  0.263148
2021-09-15 11:56:40.676983 : Epoch  4, Batch    482, Loss  0.882597, Average Loss  0.869241, Time  0.263888
2021-09-15 11:56:43.685657 : Epoch  4, Batch    483, Loss  0.859480, Average Loss  0.869231, Time  0.262798
2021-09-15 11:56:46.687314 : Epoch  4, Batch    484, Loss  0.887948, Average Loss  0.869264, Time  0.262972
2021-09-15 11:56:49.708186 : Epoch  4, Batch    485, Loss  0.872409, Average Loss  0.869317, Time  0.263592
2021-09-15 11:56:52.706097 : Epoch  4, Batch    486, Loss  0.857284, Average Loss  0.869327, Time  0.263403
2021-09-15 11:56:55.692466 : Epoch  4, Batch    487, Loss  0.883312, Average Loss  0.869410, Time  0.276112
2021-09-15 11:56:58.730101 : Epoch  4, Batch    488, Loss  0.881541, Average Loss  0.869493, Time  0.263383
2021-09-15 11:57:01.722564 : Epoch  4, Batch    489, Loss  0.868228, Average Loss  0.869536, Time  0.263277
2021-09-15 11:57:04.709497 : Epoch  4, Batch    490, Loss  0.846815, Average Loss  0.869241, Time  0.263296
2021-09-15 11:57:07.701153 : Epoch  4, Batch    491, Loss  0.876113, Average Loss  0.869290, Time  0.263556
2021-09-15 11:57:10.696882 : Epoch  4, Batch    492, Loss  0.873546, Average Loss  0.869298, Time  0.262772
2021-09-15 11:57:13.714295 : Epoch  4, Batch    493, Loss  0.859929, Average Loss  0.869345, Time  0.264475
2021-09-15 11:57:16.741947 : Epoch  4, Batch    494, Loss  0.875968, Average Loss  0.869422, Time  0.263804
2021-09-15 11:57:19.751564 : Epoch  4, Batch    495, Loss  0.874232, Average Loss  0.869330, Time  0.264118
2021-09-15 11:57:22.759316 : Epoch  4, Batch    496, Loss  0.863749, Average Loss  0.869276, Time  0.264143
2021-09-15 11:57:25.786746 : Epoch  4, Batch    497, Loss  0.871516, Average Loss  0.869254, Time  0.264717
2021-09-15 11:57:28.809132 : Epoch  4, Batch    498, Loss  0.864911, Average Loss  0.869129, Time  0.264842
2021-09-15 11:57:31.811388 : Epoch  4, Batch    499, Loss  0.881860, Average Loss  0.869185, Time  0.263379
2021-09-15 11:57:34.802660 : Epoch  4, Batch    500, Loss  0.887142, Average Loss  0.869255, Time  0.262926
2021-09-15 11:57:37.793497 : Epoch  4, Batch    501, Loss  0.872316, Average Loss  0.869237, Time  0.263999
2021-09-15 11:57:40.827182 : Epoch  4, Batch    502, Loss  0.868794, Average Loss  0.869183, Time  0.275842
2021-09-15 11:57:43.826097 : Epoch  4, Batch    503, Loss  0.886617, Average Loss  0.869215, Time  0.263702
2021-09-15 11:57:46.841355 : Epoch  4, Batch    504, Loss  0.850309, Average Loss  0.869072, Time  0.262982
2021-09-15 11:57:49.819935 : Epoch  4, Batch    505, Loss  0.870473, Average Loss  0.869066, Time  0.263088
2021-09-15 11:57:52.817553 : Epoch  4, Batch    506, Loss  0.891437, Average Loss  0.869169, Time  0.263270
2021-09-15 11:57:55.810382 : Epoch  4, Batch    507, Loss  0.865076, Average Loss  0.869146, Time  0.262742
2021-09-15 11:57:58.821454 : Epoch  4, Batch    508, Loss  0.869599, Average Loss  0.869312, Time  0.263671
2021-09-15 11:58:01.833474 : Epoch  4, Batch    509, Loss  0.878731, Average Loss  0.869328, Time  0.266102
2021-09-15 11:58:04.833763 : Epoch  4, Batch    510, Loss  0.886125, Average Loss  0.869348, Time  0.264269
2021-09-15 11:58:07.843618 : Epoch  4, Batch    511, Loss  0.876346, Average Loss  0.869527, Time  0.264123
2021-09-15 11:58:10.861261 : Epoch  4, Batch    512, Loss  0.865865, Average Loss  0.869503, Time  0.263222
2021-09-15 11:58:13.854813 : Epoch  4, Batch    513, Loss  0.847561, Average Loss  0.869350, Time  0.262292
2021-09-15 11:58:16.849845 : Epoch  4, Batch    514, Loss  0.876925, Average Loss  0.869475, Time  0.264539
2021-09-15 11:58:19.855920 : Epoch  4, Batch    515, Loss  0.858586, Average Loss  0.869349, Time  0.263953
2021-09-15 11:58:22.869550 : Epoch  4, Batch    516, Loss  0.858920, Average Loss  0.869216, Time  0.263435
2021-09-15 11:58:25.913781 : Epoch  4, Batch    517, Loss  0.889464, Average Loss  0.869278, Time  0.278109
2021-09-15 11:58:28.904836 : Epoch  4, Batch    518, Loss  0.886645, Average Loss  0.869335, Time  0.264044
2021-09-15 11:58:31.925176 : Epoch  4, Batch    519, Loss  0.854827, Average Loss  0.869146, Time  0.265037
2021-09-15 11:58:34.927056 : Epoch  4, Batch    520, Loss  0.878099, Average Loss  0.869068, Time  0.263015
2021-09-15 11:58:37.936413 : Epoch  4, Batch    521, Loss  0.866928, Average Loss  0.869092, Time  0.263185
2021-09-15 11:58:40.931163 : Epoch  4, Batch    522, Loss  0.870052, Average Loss  0.869047, Time  0.263663
2021-09-15 11:58:43.927331 : Epoch  4, Batch    523, Loss  0.891440, Average Loss  0.869158, Time  0.264438
2021-09-15 11:58:46.972453 : Epoch  4, Batch    524, Loss  0.879104, Average Loss  0.869301, Time  0.264526
2021-09-15 11:58:50.013086 : Epoch  4, Batch    525, Loss  0.880095, Average Loss  0.869387, Time  0.264185
2021-09-15 11:58:53.046422 : Epoch  4, Batch    526, Loss  0.874531, Average Loss  0.869483, Time  0.264172
2021-09-15 11:58:56.065423 : Epoch  4, Batch    527, Loss  0.880490, Average Loss  0.869638, Time  0.264262
2021-09-15 11:58:59.066283 : Epoch  4, Batch    528, Loss  0.876659, Average Loss  0.869660, Time  0.262815
2021-09-15 11:59:02.055175 : Epoch  4, Batch    529, Loss  0.863430, Average Loss  0.869562, Time  0.262914
2021-09-15 11:59:05.054339 : Epoch  4, Batch    530, Loss  0.881177, Average Loss  0.869589, Time  0.264190
2021-09-15 11:59:08.054286 : Epoch  4, Batch    531, Loss  0.854340, Average Loss  0.869525, Time  0.263927
2021-09-15 11:59:11.076954 : Epoch  4, Batch    532, Loss  0.868852, Average Loss  0.869438, Time  0.276154
2021-09-15 12:03:49.811755 : CheckPoint: Validation Loss  0.00030114, Best Loss  0.00029236
2021-09-15 12:03:52.843210 : Epoch  4, Batch    533, Loss  0.891053, Average Loss  0.869495, Time  0.267748
2021-09-15 12:03:55.869069 : Epoch  4, Batch    534, Loss  0.875823, Average Loss  0.869551, Time  0.274892
2021-09-15 12:03:58.874454 : Epoch  4, Batch    535, Loss  0.869390, Average Loss  0.869496, Time  0.263597
2021-09-15 12:04:02.009042 : Epoch  4, Batch    536, Loss  0.893104, Average Loss  0.869592, Time  0.263459
2021-09-15 12:04:05.024485 : Epoch  4, Batch    537, Loss  0.852558, Average Loss  0.869579, Time  0.264278
2021-09-15 12:04:08.018087 : Epoch  4, Batch    538, Loss  0.875715, Average Loss  0.869638, Time  0.262817
2021-09-15 12:04:11.030845 : Epoch  4, Batch    539, Loss  0.860550, Average Loss  0.869743, Time  0.264012
2021-09-15 12:04:14.039100 : Epoch  4, Batch    540, Loss  0.891055, Average Loss  0.869860, Time  0.263306
2021-09-15 12:04:17.028852 : Epoch  4, Batch    541, Loss  0.884060, Average Loss  0.869923, Time  0.263206
2021-09-15 12:04:20.045009 : Epoch  4, Batch    542, Loss  0.875853, Average Loss  0.869914, Time  0.263329
2021-09-15 12:04:23.042765 : Epoch  4, Batch    543, Loss  0.859017, Average Loss  0.869965, Time  0.263578
2021-09-15 12:04:26.038779 : Epoch  4, Batch    544, Loss  0.867162, Average Loss  0.870054, Time  0.262509
2021-09-15 12:04:29.047633 : Epoch  4, Batch    545, Loss  0.861241, Average Loss  0.870038, Time  0.264140
2021-09-15 12:04:32.047226 : Epoch  4, Batch    546, Loss  0.881619, Average Loss  0.870044, Time  0.263467
2021-09-15 12:04:35.047280 : Epoch  4, Batch    547, Loss  0.859080, Average Loss  0.869999, Time  0.263509
2021-09-15 12:04:38.061319 : Epoch  4, Batch    548, Loss  0.877322, Average Loss  0.870040, Time  0.263048
2021-09-15 12:04:41.073799 : Epoch  4, Batch    549, Loss  0.873858, Average Loss  0.870076, Time  0.270641
2021-09-15 12:04:44.153659 : Epoch  4, Batch    550, Loss  0.906554, Average Loss  0.870200, Time  0.263177
2021-09-15 12:04:47.161819 : Epoch  4, Batch    551, Loss  0.879284, Average Loss  0.870249, Time  0.263385
2021-09-15 12:04:50.196120 : Epoch  4, Batch    552, Loss  0.844715, Average Loss  0.870158, Time  0.263293
2021-09-15 12:04:53.201276 : Epoch  4, Batch    553, Loss  0.890784, Average Loss  0.870232, Time  0.263400
2021-09-15 12:04:56.272651 : Epoch  4, Batch    554, Loss  0.869241, Average Loss  0.870151, Time  0.263718
2021-09-15 12:04:59.266320 : Epoch  4, Batch    555, Loss  0.861158, Average Loss  0.870038, Time  0.263230
2021-09-15 12:05:02.270163 : Epoch  4, Batch    556, Loss  0.905887, Average Loss  0.870304, Time  0.262912
2021-09-15 12:05:05.267677 : Epoch  4, Batch    557, Loss  0.875885, Average Loss  0.870328, Time  0.263147
2021-09-15 12:05:08.299796 : Epoch  4, Batch    558, Loss  0.899128, Average Loss  0.870511, Time  0.266083
2021-09-15 12:05:11.346727 : Epoch  4, Batch    559, Loss  0.889219, Average Loss  0.870650, Time  0.264519
2021-09-15 12:05:14.373731 : Epoch  4, Batch    560, Loss  0.871095, Average Loss  0.870698, Time  0.263814
2021-09-15 12:05:17.415428 : Epoch  4, Batch    561, Loss  0.886199, Average Loss  0.870861, Time  0.264561
2021-09-15 12:05:20.460793 : Epoch  4, Batch    562, Loss  0.873036, Average Loss  0.870934, Time  0.264256
2021-09-15 12:05:23.502797 : Epoch  4, Batch    563, Loss  0.864785, Average Loss  0.870996, Time  0.263875
2021-09-15 12:05:26.510142 : Epoch  4, Batch    564, Loss  0.867395, Average Loss  0.870992, Time  0.272907
2021-09-15 12:05:29.513202 : Epoch  4, Batch    565, Loss  0.877206, Average Loss  0.871033, Time  0.263418
2021-09-15 12:05:32.540700 : Epoch  4, Batch    566, Loss  0.871772, Average Loss  0.871095, Time  0.264735
2021-09-15 12:05:35.547059 : Epoch  4, Batch    567, Loss  0.835750, Average Loss  0.870907, Time  0.263433
2021-09-15 12:05:38.540888 : Epoch  4, Batch    568, Loss  0.880265, Average Loss  0.870965, Time  0.262918
2021-09-15 12:05:41.537889 : Epoch  4, Batch    569, Loss  0.849797, Average Loss  0.870875, Time  0.262872
2021-09-15 12:05:44.539255 : Epoch  4, Batch    570, Loss  0.861756, Average Loss  0.870789, Time  0.263920
2021-09-15 12:05:47.541335 : Epoch  4, Batch    571, Loss  0.870643, Average Loss  0.870837, Time  0.264071
2021-09-15 12:05:50.586357 : Epoch  4, Batch    572, Loss  0.864216, Average Loss  0.870694, Time  0.264633
2021-09-15 12:05:53.590130 : Epoch  4, Batch    573, Loss  0.879075, Average Loss  0.870803, Time  0.264004
2021-09-15 12:05:56.618668 : Epoch  4, Batch    574, Loss  0.854463, Average Loss  0.870748, Time  0.263402
2021-09-15 12:05:59.622417 : Epoch  4, Batch    575, Loss  0.873456, Average Loss  0.870788, Time  0.263104
2021-09-15 12:06:02.642196 : Epoch  4, Batch    576, Loss  0.876599, Average Loss  0.870835, Time  0.262960
2021-09-15 12:06:05.629013 : Epoch  4, Batch    577, Loss  0.881283, Average Loss  0.870970, Time  0.263899
2021-09-15 12:06:08.679445 : Epoch  4, Batch    578, Loss  0.881096, Average Loss  0.871056, Time  0.265794
2021-09-15 12:06:11.696132 : Epoch  4, Batch    579, Loss  0.873385, Average Loss  0.871108, Time  0.277047
2021-09-15 12:06:14.725270 : Epoch  4, Batch    580, Loss  0.859904, Average Loss  0.870993, Time  0.263919
2021-09-15 12:06:17.734725 : Epoch  4, Batch    581, Loss  0.877568, Average Loss  0.870937, Time  0.264260
2021-09-15 12:06:20.736652 : Epoch  4, Batch    582, Loss  0.857340, Average Loss  0.870812, Time  0.263667
2021-09-15 12:06:23.747518 : Epoch  4, Batch    583, Loss  0.862458, Average Loss  0.870743, Time  0.263388
2021-09-15 12:06:26.731849 : Epoch  4, Batch    584, Loss  0.886630, Average Loss  0.870946, Time  0.261738
2021-09-15 12:06:29.731340 : Epoch  4, Batch    585, Loss  0.871994, Average Loss  0.870961, Time  0.263307
2021-09-15 12:06:32.733544 : Epoch  4, Batch    586, Loss  0.885911, Average Loss  0.871043, Time  0.264610
2021-09-15 12:06:35.736191 : Epoch  4, Batch    587, Loss  0.885216, Average Loss  0.871095, Time  0.263486
2021-09-15 12:06:38.754794 : Epoch  4, Batch    588, Loss  0.884680, Average Loss  0.871183, Time  0.264272
2021-09-15 12:06:41.759524 : Epoch  4, Batch    589, Loss  0.882914, Average Loss  0.871245, Time  0.264735
2021-09-15 12:06:44.792786 : Epoch  4, Batch    590, Loss  0.855020, Average Loss  0.871138, Time  0.263056
2021-09-15 12:06:47.799379 : Epoch  4, Batch    591, Loss  0.887519, Average Loss  0.871295, Time  0.263710
2021-09-15 12:06:50.801204 : Epoch  4, Batch    592, Loss  0.861965, Average Loss  0.871293, Time  0.263700
2021-09-15 12:06:53.836776 : Epoch  4, Batch    593, Loss  0.874210, Average Loss  0.871292, Time  0.263812
2021-09-15 12:06:56.848539 : Epoch  4, Batch    594, Loss  0.862091, Average Loss  0.871252, Time  0.275499
2021-09-15 12:06:59.869122 : Epoch  4, Batch    595, Loss  0.854126, Average Loss  0.871140, Time  0.264851
2021-09-15 12:07:02.862754 : Epoch  4, Batch    596, Loss  0.851665, Average Loss  0.870963, Time  0.263151
2021-09-15 12:07:05.888913 : Epoch  4, Batch    597, Loss  0.857869, Average Loss  0.870954, Time  0.263735
2021-09-15 12:07:08.928101 : Epoch  4, Batch    598, Loss  0.867902, Average Loss  0.870946, Time  0.265185
2021-09-15 12:07:11.937617 : Epoch  4, Batch    599, Loss  0.869109, Average Loss  0.871028, Time  0.263931
2021-09-15 12:07:14.936390 : Epoch  4, Batch    600, Loss  0.877066, Average Loss  0.871134, Time  0.263488
2021-09-15 12:07:17.975327 : Epoch  4, Batch    601, Loss  0.855668, Average Loss  0.871082, Time  0.263369
2021-09-15 12:07:21.045986 : Epoch  4, Batch    602, Loss  0.865830, Average Loss  0.870992, Time  0.263700
2021-09-15 12:07:24.057123 : Epoch  4, Batch    603, Loss  0.873372, Average Loss  0.871044, Time  0.263640
2021-09-15 12:07:27.079325 : Epoch  4, Batch    604, Loss  0.862141, Average Loss  0.870933, Time  0.263681
2021-09-15 12:07:30.094451 : Epoch  4, Batch    605, Loss  0.869202, Average Loss  0.870861, Time  0.263183
2021-09-15 12:07:33.096810 : Epoch  4, Batch    606, Loss  0.859235, Average Loss  0.870829, Time  0.263153
2021-09-15 12:07:36.113224 : Epoch  4, Batch    607, Loss  0.894441, Average Loss  0.871066, Time  0.264081
2021-09-15 12:07:39.131375 : Epoch  4, Batch    608, Loss  0.857790, Average Loss  0.871005, Time  0.263106
2021-09-15 12:07:42.169470 : Epoch  4, Batch    609, Loss  0.870855, Average Loss  0.871058, Time  0.275875
2021-09-15 12:07:45.183472 : Epoch  4, Batch    610, Loss  0.867348, Average Loss  0.871122, Time  0.263142
2021-09-15 12:07:48.189425 : Epoch  4, Batch    611, Loss  0.858755, Average Loss  0.870959, Time  0.263371
2021-09-15 12:07:51.189698 : Epoch  4, Batch    612, Loss  0.879014, Average Loss  0.870986, Time  0.263197
2021-09-15 12:07:54.188693 : Epoch  4, Batch    613, Loss  0.877961, Average Loss  0.871066, Time  0.262909
2021-09-15 12:07:57.182833 : Epoch  4, Batch    614, Loss  0.871345, Average Loss  0.870943, Time  0.263057
2021-09-15 12:08:00.217479 : Epoch  4, Batch    615, Loss  0.877909, Average Loss  0.871166, Time  0.264288
2021-09-15 12:08:03.251591 : Epoch  4, Batch    616, Loss  0.872766, Average Loss  0.871155, Time  0.263589
2021-09-15 12:08:06.277743 : Epoch  4, Batch    617, Loss  0.869368, Average Loss  0.871142, Time  0.263521
2021-09-15 12:08:09.293643 : Epoch  4, Batch    618, Loss  0.864334, Average Loss  0.871131, Time  0.264831
2021-09-15 12:08:12.303945 : Epoch  4, Batch    619, Loss  0.870207, Average Loss  0.871226, Time  0.263931
2021-09-15 12:08:15.307700 : Epoch  4, Batch    620, Loss  0.873480, Average Loss  0.871253, Time  0.263152
2021-09-15 12:08:18.353716 : Epoch  4, Batch    621, Loss  0.862348, Average Loss  0.871142, Time  0.263770
2021-09-15 12:08:21.399693 : Epoch  4, Batch    622, Loss  0.858372, Average Loss  0.871027, Time  0.263825
2021-09-15 12:08:24.410782 : Epoch  4, Batch    623, Loss  0.869092, Average Loss  0.871160, Time  0.264168
2021-09-15 12:08:27.429638 : Epoch  4, Batch    624, Loss  0.865247, Average Loss  0.871111, Time  0.275274
2021-09-15 12:08:30.432681 : Epoch  4, Batch    625, Loss  0.865173, Average Loss  0.871081, Time  0.263708
2021-09-15 12:08:33.428536 : Epoch  4, Batch    626, Loss  0.857134, Average Loss  0.870970, Time  0.263500
2021-09-15 12:08:36.456083 : Epoch  4, Batch    627, Loss  0.882553, Average Loss  0.871026, Time  0.263244
2021-09-15 12:08:39.459946 : Epoch  4, Batch    628, Loss  0.908047, Average Loss  0.871194, Time  0.263778
2021-09-15 12:08:42.467938 : Epoch  4, Batch    629, Loss  0.857184, Average Loss  0.871176, Time  0.263374
2021-09-15 12:08:45.466203 : Epoch  4, Batch    630, Loss  0.884814, Average Loss  0.871284, Time  0.263393
2021-09-15 12:08:48.462670 : Epoch  4, Batch    631, Loss  0.855037, Average Loss  0.871215, Time  0.263139
2021-09-15 12:08:51.479797 : Epoch  4, Batch    632, Loss  0.879397, Average Loss  0.871343, Time  0.263832
2021-09-15 12:13:29.340447 : CheckPoint: Validation Loss  0.00030965, Best Loss  0.00029236
2021-09-15 12:13:32.323269 : Epoch  4, Batch    633, Loss  0.864153, Average Loss  0.871427, Time  0.264467
2021-09-15 12:13:35.308172 : Epoch  4, Batch    634, Loss  0.865178, Average Loss  0.871441, Time  0.262768
2021-09-15 12:13:38.297594 : Epoch  4, Batch    635, Loss  0.853936, Average Loss  0.871418, Time  0.261267
2021-09-15 12:13:41.290966 : Epoch  4, Batch    636, Loss  0.869209, Average Loss  0.871313, Time  0.263578
2021-09-15 12:13:44.286035 : Epoch  4, Batch    637, Loss  0.885148, Average Loss  0.871401, Time  0.265417
2021-09-15 12:13:47.329287 : Epoch  4, Batch    638, Loss  0.853337, Average Loss  0.871363, Time  0.263145
2021-09-15 12:13:50.331363 : Epoch  4, Batch    639, Loss  0.870736, Average Loss  0.871417, Time  0.263607
2021-09-15 12:13:53.344689 : Epoch  4, Batch    640, Loss  0.867330, Average Loss  0.871473, Time  0.276567
2021-09-15 12:13:56.337435 : Epoch  4, Batch    641, Loss  0.880629, Average Loss  0.871389, Time  0.264046
2021-09-15 12:13:59.337383 : Epoch  4, Batch    642, Loss  0.866474, Average Loss  0.871263, Time  0.263561
2021-09-15 12:14:02.324884 : Epoch  4, Batch    643, Loss  0.884654, Average Loss  0.871300, Time  0.262764
2021-09-15 12:14:05.337113 : Epoch  4, Batch    644, Loss  0.866125, Average Loss  0.871247, Time  0.263706
2021-09-15 12:14:08.322177 : Epoch  4, Batch    645, Loss  0.876441, Average Loss  0.871269, Time  0.263577
2021-09-15 12:14:11.327224 : Epoch  4, Batch    646, Loss  0.866471, Average Loss  0.871151, Time  0.262911
2021-09-15 12:14:14.329883 : Epoch  4, Batch    647, Loss  0.873682, Average Loss  0.871289, Time  0.263583
2021-09-15 12:14:17.318276 : Epoch  4, Batch    648, Loss  0.881318, Average Loss  0.871275, Time  0.263036
2021-09-15 12:14:20.340365 : Epoch  4, Batch    649, Loss  0.883560, Average Loss  0.871409, Time  0.263042
2021-09-15 12:14:23.324867 : Epoch  4, Batch    650, Loss  0.873597, Average Loss  0.871407, Time  0.262988
2021-09-15 12:14:26.329276 : Epoch  4, Batch    651, Loss  0.871157, Average Loss  0.871388, Time  0.264082
2021-09-15 12:14:29.335709 : Epoch  4, Batch    652, Loss  0.870310, Average Loss  0.871447, Time  0.263892
2021-09-15 12:14:32.324305 : Epoch  4, Batch    653, Loss  0.874392, Average Loss  0.871554, Time  0.263303
2021-09-15 12:14:35.321732 : Epoch  4, Batch    654, Loss  0.880092, Average Loss  0.871689, Time  0.264451
2021-09-15 12:14:38.353766 : Epoch  4, Batch    655, Loss  0.879781, Average Loss  0.871750, Time  0.272060
2021-09-15 12:14:41.380932 : Epoch  4, Batch    656, Loss  0.856983, Average Loss  0.871670, Time  0.264102
2021-09-15 12:14:44.385717 : Epoch  4, Batch    657, Loss  0.879333, Average Loss  0.871698, Time  0.264532
2021-09-15 12:14:47.379072 : Epoch  4, Batch    658, Loss  0.877079, Average Loss  0.871815, Time  0.263084
2021-09-15 12:14:50.388502 : Epoch  4, Batch    659, Loss  0.864012, Average Loss  0.871846, Time  0.264650
2021-09-15 12:14:53.374195 : Epoch  4, Batch    660, Loss  0.857978, Average Loss  0.871749, Time  0.262942
2021-09-15 12:14:56.397948 : Epoch  4, Batch    661, Loss  0.872765, Average Loss  0.871837, Time  0.263428
2021-09-15 12:14:59.399024 : Epoch  4, Batch    662, Loss  0.862706, Average Loss  0.871758, Time  0.264699
2021-09-15 12:15:02.382397 : Epoch  4, Batch    663, Loss  0.879521, Average Loss  0.871730, Time  0.262837
2021-09-15 12:15:05.395300 : Epoch  4, Batch    664, Loss  0.850205, Average Loss  0.871753, Time  0.264198
2021-09-15 12:15:08.380279 : Epoch  4, Batch    665, Loss  0.861901, Average Loss  0.871860, Time  0.263466
2021-09-15 12:15:11.364888 : Epoch  4, Batch    666, Loss  0.869229, Average Loss  0.871768, Time  0.262456
2021-09-15 12:15:14.383277 : Epoch  4, Batch    667, Loss  0.862338, Average Loss  0.871726, Time  0.263145
2021-09-15 12:15:17.386009 : Epoch  4, Batch    668, Loss  0.859594, Average Loss  0.871645, Time  0.263973
2021-09-15 12:15:20.424963 : Epoch  4, Batch    669, Loss  0.857222, Average Loss  0.871548, Time  0.263874
2021-09-15 12:15:23.458861 : Epoch  4, Batch    670, Loss  0.867208, Average Loss  0.871427, Time  0.273359
2021-09-15 12:15:26.466524 : Epoch  4, Batch    671, Loss  0.878439, Average Loss  0.871397, Time  0.264490
2021-09-15 12:15:29.497402 : Epoch  4, Batch    672, Loss  0.859939, Average Loss  0.871356, Time  0.263840
2021-09-15 12:15:32.580341 : Epoch  4, Batch    673, Loss  0.873722, Average Loss  0.871407, Time  0.263119
2021-09-15 12:15:35.583321 : Epoch  4, Batch    674, Loss  0.847080, Average Loss  0.871215, Time  0.263229
2021-09-15 12:15:38.583285 : Epoch  4, Batch    675, Loss  0.885602, Average Loss  0.871215, Time  0.263238
2021-09-15 12:15:41.587161 : Epoch  4, Batch    676, Loss  0.857368, Average Loss  0.871208, Time  0.265817
2021-09-15 12:15:44.620136 : Epoch  4, Batch    677, Loss  0.863504, Average Loss  0.871194, Time  0.265125
2021-09-15 12:15:47.609757 : Epoch  4, Batch    678, Loss  0.869113, Average Loss  0.871151, Time  0.262606
2021-09-15 12:15:50.621369 : Epoch  4, Batch    679, Loss  0.879435, Average Loss  0.871110, Time  0.263839
2021-09-15 12:15:53.623635 : Epoch  4, Batch    680, Loss  0.860134, Average Loss  0.871220, Time  0.263997
2021-09-15 12:15:56.649102 : Epoch  4, Batch    681, Loss  0.869756, Average Loss  0.871202, Time  0.263994
2021-09-15 12:15:59.668874 : Epoch  4, Batch    682, Loss  0.883997, Average Loss  0.871209, Time  0.263112
2021-09-15 12:16:02.656798 : Epoch  4, Batch    683, Loss  0.892181, Average Loss  0.871373, Time  0.263457
2021-09-15 12:16:05.676716 : Epoch  4, Batch    684, Loss  0.851537, Average Loss  0.871191, Time  0.262974
2021-09-15 12:16:08.685199 : Epoch  4, Batch    685, Loss  0.880727, Average Loss  0.871232, Time  0.275359
2021-09-15 12:16:11.719334 : Epoch  4, Batch    686, Loss  0.842623, Average Loss  0.871159, Time  0.264105
2021-09-15 12:16:14.710658 : Epoch  4, Batch    687, Loss  0.869399, Average Loss  0.871089, Time  0.263200
2021-09-15 12:16:17.697069 : Epoch  4, Batch    688, Loss  0.869970, Average Loss  0.871031, Time  0.263484
2021-09-15 12:16:20.687808 : Epoch  4, Batch    689, Loss  0.872397, Average Loss  0.871052, Time  0.262757
2021-09-15 12:16:23.673567 : Epoch  4, Batch    690, Loss  0.869144, Average Loss  0.871164, Time  0.264254
2021-09-15 12:16:26.685223 : Epoch  4, Batch    691, Loss  0.859642, Average Loss  0.871082, Time  0.263692
2021-09-15 12:16:29.677103 : Epoch  4, Batch    692, Loss  0.862955, Average Loss  0.871029, Time  0.263823
2021-09-15 12:16:32.688935 : Epoch  4, Batch    693, Loss  0.875781, Average Loss  0.871108, Time  0.263649
2021-09-15 12:16:35.708481 : Epoch  4, Batch    694, Loss  0.866133, Average Loss  0.871059, Time  0.263351
2021-09-15 12:16:38.704637 : Epoch  4, Batch    695, Loss  0.859532, Average Loss  0.870985, Time  0.264040
2021-09-15 12:16:41.744168 : Epoch  4, Batch    696, Loss  0.882629, Average Loss  0.871080, Time  0.263930
2021-09-15 12:16:44.760088 : Epoch  4, Batch    697, Loss  0.870374, Average Loss  0.871074, Time  0.264991
2021-09-15 12:16:47.765423 : Epoch  4, Batch    698, Loss  0.870778, Average Loss  0.871103, Time  0.264045
2021-09-15 12:16:50.766745 : Epoch  4, Batch    699, Loss  0.866252, Average Loss  0.871025, Time  0.264628
2021-09-15 12:16:53.792158 : Epoch  4, Batch    700, Loss  0.859732, Average Loss  0.870888, Time  0.277003
2021-09-15 12:16:56.828912 : Epoch  4, Batch    701, Loss  0.881729, Average Loss  0.870935, Time  0.264958
2021-09-15 12:16:59.859781 : Epoch  4, Batch    702, Loss  0.879582, Average Loss  0.870989, Time  0.264173
2021-09-15 12:17:02.848092 : Epoch  4, Batch    703, Loss  0.856490, Average Loss  0.870839, Time  0.262838
2021-09-15 12:17:05.842013 : Epoch  4, Batch    704, Loss  0.872151, Average Loss  0.870948, Time  0.263518
2021-09-15 12:17:08.854954 : Epoch  4, Batch    705, Loss  0.847992, Average Loss  0.870835, Time  0.263386
2021-09-15 12:17:11.862219 : Epoch  4, Batch    706, Loss  0.866506, Average Loss  0.870711, Time  0.264150
2021-09-15 12:17:14.856608 : Epoch  4, Batch    707, Loss  0.865215, Average Loss  0.870711, Time  0.263961
2021-09-15 12:17:17.857114 : Epoch  4, Batch    708, Loss  0.887722, Average Loss  0.870802, Time  0.263840
2021-09-15 12:17:20.869655 : Epoch  4, Batch    709, Loss  0.859639, Average Loss  0.870707, Time  0.263495
2021-09-15 12:17:23.874634 : Epoch  4, Batch    710, Loss  0.877531, Average Loss  0.870664, Time  0.264160
2021-09-15 12:17:26.866240 : Epoch  4, Batch    711, Loss  0.854496, Average Loss  0.870554, Time  0.263304
2021-09-15 12:17:29.866719 : Epoch  4, Batch    712, Loss  0.847830, Average Loss  0.870464, Time  0.263087
2021-09-15 12:17:32.885959 : Epoch  4, Batch    713, Loss  0.873194, Average Loss  0.870592, Time  0.264173
2021-09-15 12:17:35.891703 : Epoch  4, Batch    714, Loss  0.868800, Average Loss  0.870552, Time  0.263615
2021-09-15 12:17:38.935246 : Epoch  4, Batch    715, Loss  0.847212, Average Loss  0.870495, Time  0.276245
2021-09-15 12:17:41.948562 : Epoch  4, Batch    716, Loss  0.848729, Average Loss  0.870444, Time  0.264087
2021-09-15 12:17:44.983870 : Epoch  4, Batch    717, Loss  0.850901, Average Loss  0.870251, Time  0.265058
2021-09-15 12:17:47.992373 : Epoch  4, Batch    718, Loss  0.870480, Average Loss  0.870170, Time  0.263198
2021-09-15 12:17:51.003976 : Epoch  4, Batch    719, Loss  0.867732, Average Loss  0.870235, Time  0.263939
2021-09-15 12:17:53.993146 : Epoch  4, Batch    720, Loss  0.859384, Average Loss  0.870141, Time  0.263064
2021-09-15 12:17:56.985751 : Epoch  4, Batch    721, Loss  0.862464, Average Loss  0.870119, Time  0.264150
2021-09-15 12:18:00.007737 : Epoch  4, Batch    722, Loss  0.856861, Average Loss  0.870053, Time  0.263884
2021-09-15 12:18:03.034690 : Epoch  4, Batch    723, Loss  0.872061, Average Loss  0.869956, Time  0.264157
2021-09-15 12:18:06.038777 : Epoch  4, Batch    724, Loss  0.867629, Average Loss  0.869899, Time  0.265015
2021-09-15 12:18:09.054565 : Epoch  4, Batch    725, Loss  0.876672, Average Loss  0.869882, Time  0.263643
2021-09-15 12:18:12.078700 : Epoch  4, Batch    726, Loss  0.887188, Average Loss  0.869945, Time  0.262897
2021-09-15 12:18:15.065556 : Epoch  4, Batch    727, Loss  0.857812, Average Loss  0.869831, Time  0.263259
2021-09-15 12:18:18.088550 : Epoch  4, Batch    728, Loss  0.877801, Average Loss  0.869837, Time  0.263612
2021-09-15 12:18:21.097302 : Epoch  4, Batch    729, Loss  0.882593, Average Loss  0.869933, Time  0.262953
2021-09-15 12:18:24.131576 : Epoch  4, Batch    730, Loss  0.881345, Average Loss  0.869934, Time  0.272677
2021-09-15 12:18:27.172620 : Epoch  4, Batch    731, Loss  0.855742, Average Loss  0.869941, Time  0.264692
2021-09-15 12:18:30.200115 : Epoch  4, Batch    732, Loss  0.893258, Average Loss  0.870063, Time  0.263555
2021-09-15 12:23:08.985987 : CheckPoint: Validation Loss  0.00031262, Best Loss  0.00029236
2021-09-15 12:23:12.009960 : Epoch  4, Batch    733, Loss  0.863548, Average Loss  0.869925, Time  0.265491
2021-09-15 12:23:15.051183 : Epoch  4, Batch    734, Loss  0.851487, Average Loss  0.869804, Time  0.265226
2021-09-15 12:23:18.080698 : Epoch  4, Batch    735, Loss  0.869689, Average Loss  0.869805, Time  0.263040
2021-09-15 12:23:21.078663 : Epoch  4, Batch    736, Loss  0.896174, Average Loss  0.869820, Time  0.263792
2021-09-15 12:23:24.084892 : Epoch  4, Batch    737, Loss  0.872980, Average Loss  0.869923, Time  0.265405
2021-09-15 12:23:27.095385 : Epoch  4, Batch    738, Loss  0.863691, Average Loss  0.869862, Time  0.263183
2021-09-15 12:23:30.094327 : Epoch  4, Batch    739, Loss  0.884243, Average Loss  0.869981, Time  0.264615
2021-09-15 12:23:33.091299 : Epoch  4, Batch    740, Loss  0.854980, Average Loss  0.869801, Time  0.262968
2021-09-15 12:23:36.079544 : Epoch  4, Batch    741, Loss  0.863122, Average Loss  0.869696, Time  0.263456
2021-09-15 12:23:39.065008 : Epoch  4, Batch    742, Loss  0.860191, Average Loss  0.869618, Time  0.263382
2021-09-15 12:23:42.058712 : Epoch  4, Batch    743, Loss  0.867851, Average Loss  0.869662, Time  0.263598
2021-09-15 12:23:45.060067 : Epoch  4, Batch    744, Loss  0.887441, Average Loss  0.869763, Time  0.262846
2021-09-15 12:23:48.062787 : Epoch  4, Batch    745, Loss  0.899517, Average Loss  0.869954, Time  0.276367
2021-09-15 12:23:51.053934 : Epoch  4, Batch    746, Loss  0.868262, Average Loss  0.869888, Time  0.263556
2021-09-15 12:23:54.024027 : Epoch  4, Batch    747, Loss  0.874831, Average Loss  0.869966, Time  0.263018
2021-09-15 12:23:57.049961 : Epoch  4, Batch    748, Loss  0.865041, Average Loss  0.869905, Time  0.263575
2021-09-15 12:24:00.070382 : Epoch  4, Batch    749, Loss  0.862750, Average Loss  0.869850, Time  0.263052
2021-09-15 12:24:03.071238 : Epoch  4, Batch    750, Loss  0.856676, Average Loss  0.869600, Time  0.263270
2021-09-15 12:24:06.057040 : Epoch  4, Batch    751, Loss  0.862630, Average Loss  0.869517, Time  0.263254
2021-09-15 12:24:09.057005 : Epoch  4, Batch    752, Loss  0.875747, Average Loss  0.869672, Time  0.263339
2021-09-15 12:24:12.090234 : Epoch  4, Batch    753, Loss  0.874442, Average Loss  0.869590, Time  0.263273
2021-09-15 12:24:15.124001 : Epoch  4, Batch    754, Loss  0.886731, Average Loss  0.869678, Time  0.264640
2021-09-15 12:24:18.167062 : Epoch  4, Batch    755, Loss  0.868934, Average Loss  0.869717, Time  0.262662
2021-09-15 12:24:21.189274 : Epoch  4, Batch    756, Loss  0.860218, Average Loss  0.869488, Time  0.262832
2021-09-15 12:24:24.166440 : Epoch  4, Batch    757, Loss  0.852723, Average Loss  0.869372, Time  0.261482
2021-09-15 12:24:27.167383 : Epoch  4, Batch    758, Loss  0.879281, Average Loss  0.869273, Time  0.264662
2021-09-15 12:24:30.163468 : Epoch  4, Batch    759, Loss  0.876130, Average Loss  0.869208, Time  0.264960
2021-09-15 12:24:33.178396 : Epoch  4, Batch    760, Loss  0.825623, Average Loss  0.868980, Time  0.276284
2021-09-15 12:24:36.184316 : Epoch  4, Batch    761, Loss  0.867125, Average Loss  0.868885, Time  0.263861
2021-09-15 12:24:39.173060 : Epoch  4, Batch    762, Loss  0.870637, Average Loss  0.868873, Time  0.264146
2021-09-15 12:24:42.183359 : Epoch  4, Batch    763, Loss  0.868847, Average Loss  0.868893, Time  0.263524
2021-09-15 12:24:45.194144 : Epoch  4, Batch    764, Loss  0.829151, Average Loss  0.868702, Time  0.264143
2021-09-15 12:24:48.232446 : Epoch  4, Batch    765, Loss  0.850278, Average Loss  0.868568, Time  0.262963
2021-09-15 12:24:51.237169 : Epoch  4, Batch    766, Loss  0.867397, Average Loss  0.868546, Time  0.263668
2021-09-15 12:24:54.243402 : Epoch  4, Batch    767, Loss  0.881328, Average Loss  0.868774, Time  0.264843
2021-09-15 12:24:57.252833 : Epoch  4, Batch    768, Loss  0.889979, Average Loss  0.868822, Time  0.263971
2021-09-15 12:25:00.276657 : Epoch  4, Batch    769, Loss  0.875029, Average Loss  0.868948, Time  0.263357
2021-09-15 12:25:03.286907 : Epoch  4, Batch    770, Loss  0.870822, Average Loss  0.868994, Time  0.263892
2021-09-15 12:25:06.291511 : Epoch  4, Batch    771, Loss  0.867795, Average Loss  0.868979, Time  0.262993
2021-09-15 12:25:09.290224 : Epoch  4, Batch    772, Loss  0.874253, Average Loss  0.869030, Time  0.263879
2021-09-15 12:25:12.298555 : Epoch  4, Batch    773, Loss  0.827069, Average Loss  0.868770, Time  0.262724
2021-09-15 12:25:15.302885 : Epoch  4, Batch    774, Loss  0.859591, Average Loss  0.868795, Time  0.264178
2021-09-15 12:25:18.356844 : Epoch  4, Batch    775, Loss  0.874878, Average Loss  0.868802, Time  0.274507
2021-09-15 12:25:21.348827 : Epoch  4, Batch    776, Loss  0.856015, Average Loss  0.868699, Time  0.262948
2021-09-15 12:25:24.362093 : Epoch  4, Batch    777, Loss  0.881221, Average Loss  0.868699, Time  0.263850
2021-09-15 12:25:27.394792 : Epoch  4, Batch    778, Loss  0.879724, Average Loss  0.868692, Time  0.265970
2021-09-15 12:25:30.421924 : Epoch  4, Batch    779, Loss  0.868957, Average Loss  0.868670, Time  0.264388
2021-09-15 12:25:33.444442 : Epoch  4, Batch    780, Loss  0.840054, Average Loss  0.868571, Time  0.262721
2021-09-15 12:25:36.472071 : Epoch  4, Batch    781, Loss  0.875571, Average Loss  0.868561, Time  0.264486
2021-09-15 12:25:39.473204 : Epoch  4, Batch    782, Loss  0.877092, Average Loss  0.868660, Time  0.264658
2021-09-15 12:25:42.483640 : Epoch  4, Batch    783, Loss  0.884910, Average Loss  0.868772, Time  0.263671
2021-09-15 12:25:45.511937 : Epoch  4, Batch    784, Loss  0.877385, Average Loss  0.868726, Time  0.263189
2021-09-15 12:25:48.515312 : Epoch  4, Batch    785, Loss  0.870311, Average Loss  0.868717, Time  0.263812
2021-09-15 12:25:51.513316 : Epoch  4, Batch    786, Loss  0.873541, Average Loss  0.868655, Time  0.263313
2021-09-15 12:25:54.532761 : Epoch  4, Batch    787, Loss  0.855860, Average Loss  0.868509, Time  0.263107
2021-09-15 12:25:57.515619 : Epoch  4, Batch    788, Loss  0.872068, Average Loss  0.868445, Time  0.262727
2021-09-15 12:26:00.526342 : Epoch  4, Batch    789, Loss  0.878977, Average Loss  0.868426, Time  0.264684
2021-09-15 12:26:03.560634 : Epoch  4, Batch    790, Loss  0.874510, Average Loss  0.868523, Time  0.269157
2021-09-15 12:26:06.557880 : Epoch  4, Batch    791, Loss  0.880869, Average Loss  0.868490, Time  0.262759
2021-09-15 12:26:09.573614 : Epoch  4, Batch    792, Loss  0.880409, Average Loss  0.868582, Time  0.263503
2021-09-15 12:26:12.588496 : Epoch  4, Batch    793, Loss  0.854773, Average Loss  0.868485, Time  0.262929
2021-09-15 12:26:15.578522 : Epoch  4, Batch    794, Loss  0.879060, Average Loss  0.868570, Time  0.264707
2021-09-15 12:26:18.584604 : Epoch  4, Batch    795, Loss  0.851022, Average Loss  0.868554, Time  0.262953
2021-09-15 12:26:21.580687 : Epoch  4, Batch    796, Loss  0.875051, Average Loss  0.868671, Time  0.264124
2021-09-15 12:26:24.600625 : Epoch  4, Batch    797, Loss  0.888133, Average Loss  0.868823, Time  0.263425
2021-09-15 12:26:27.604195 : Epoch  4, Batch    798, Loss  0.844756, Average Loss  0.868707, Time  0.264625
2021-09-15 12:26:30.603971 : Epoch  4, Batch    799, Loss  0.837433, Average Loss  0.868549, Time  0.264050
2021-09-15 12:26:33.672001 : Epoch  4, Batch    800, Loss  0.856332, Average Loss  0.868445, Time  0.263872
2021-09-15 12:26:36.682873 : Epoch  4, Batch    801, Loss  0.852696, Average Loss  0.868430, Time  0.264490
2021-09-15 12:26:39.695826 : Epoch  4, Batch    802, Loss  0.884152, Average Loss  0.868522, Time  0.263961
2021-09-15 12:26:42.688028 : Epoch  4, Batch    803, Loss  0.876980, Average Loss  0.868540, Time  0.264221
2021-09-15 12:26:45.679436 : Epoch  4, Batch    804, Loss  0.857697, Average Loss  0.868517, Time  0.263330
2021-09-15 12:26:48.702305 : Epoch  4, Batch    805, Loss  0.836509, Average Loss  0.868354, Time  0.278222
2021-09-15 12:26:51.701403 : Epoch  4, Batch    806, Loss  0.851703, Average Loss  0.868316, Time  0.263764
2021-09-15 12:26:54.698653 : Epoch  4, Batch    807, Loss  0.885478, Average Loss  0.868271, Time  0.263523
2021-09-15 12:26:57.688183 : Epoch  4, Batch    808, Loss  0.862760, Average Loss  0.868296, Time  0.263310
2021-09-15 12:27:00.704687 : Epoch  4, Batch    809, Loss  0.879987, Average Loss  0.868342, Time  0.264013
2021-09-15 12:27:03.744129 : Epoch  4, Batch    810, Loss  0.894665, Average Loss  0.868479, Time  0.263256
2021-09-15 12:27:06.737681 : Epoch  4, Batch    811, Loss  0.885252, Average Loss  0.868611, Time  0.262772
2021-09-15 12:27:09.734223 : Epoch  4, Batch    812, Loss  0.884897, Average Loss  0.868640, Time  0.264507
2021-09-15 12:27:12.742277 : Epoch  4, Batch    813, Loss  0.869451, Average Loss  0.868598, Time  0.263730
2021-09-15 12:27:15.743356 : Epoch  4, Batch    814, Loss  0.878526, Average Loss  0.868634, Time  0.263299
2021-09-15 12:27:18.736337 : Epoch  4, Batch    815, Loss  0.866728, Average Loss  0.868578, Time  0.262480
2021-09-15 12:27:21.735286 : Epoch  4, Batch    816, Loss  0.861305, Average Loss  0.868521, Time  0.262913
2021-09-15 12:27:24.741389 : Epoch  4, Batch    817, Loss  0.889945, Average Loss  0.868623, Time  0.263262
2021-09-15 12:27:27.747073 : Epoch  4, Batch    818, Loss  0.850228, Average Loss  0.868553, Time  0.264752
2021-09-15 12:27:30.761769 : Epoch  4, Batch    819, Loss  0.861404, Average Loss  0.868509, Time  0.263949
2021-09-15 12:27:33.780998 : Epoch  4, Batch    820, Loss  0.876249, Average Loss  0.868523, Time  0.272411
2021-09-15 12:27:36.808154 : Epoch  4, Batch    821, Loss  0.858763, Average Loss  0.868505, Time  0.264822
2021-09-15 12:27:39.851025 : Epoch  4, Batch    822, Loss  0.858475, Average Loss  0.868505, Time  0.263696
2021-09-15 12:27:42.891172 : Epoch  4, Batch    823, Loss  0.864426, Average Loss  0.868482, Time  0.264377
2021-09-15 12:27:45.902277 : Epoch  4, Batch    824, Loss  0.868109, Average Loss  0.868496, Time  0.263378
2021-09-15 12:27:48.913573 : Epoch  4, Batch    825, Loss  0.890926, Average Loss  0.868625, Time  0.263454
2021-09-15 12:27:51.916934 : Epoch  4, Batch    826, Loss  0.860142, Average Loss  0.868640, Time  0.264291
2021-09-15 12:27:54.918564 : Epoch  4, Batch    827, Loss  0.878158, Average Loss  0.868618, Time  0.263745
2021-09-15 12:27:57.916057 : Epoch  4, Batch    828, Loss  0.872985, Average Loss  0.868443, Time  0.263326
2021-09-15 12:28:00.933668 : Epoch  4, Batch    829, Loss  0.878467, Average Loss  0.868549, Time  0.264197
2021-09-15 12:28:03.926400 : Epoch  4, Batch    830, Loss  0.859175, Average Loss  0.868421, Time  0.262928
2021-09-15 12:28:06.921829 : Epoch  4, Batch    831, Loss  0.867583, Average Loss  0.868484, Time  0.263667
2021-09-15 12:28:09.941181 : Epoch  4, Batch    832, Loss  0.876812, Average Loss  0.868471, Time  0.263510
2021-09-15 12:32:49.300564 : CheckPoint: Validation Loss  0.00029996, Best Loss  0.00029236
2021-09-15 12:32:52.302735 : Epoch  4, Batch    833, Loss  0.875399, Average Loss  0.868527, Time  0.264705
2021-09-15 12:32:55.320482 : Epoch  4, Batch    834, Loss  0.872966, Average Loss  0.868566, Time  0.264817
2021-09-15 12:32:58.353008 : Epoch  4, Batch    835, Loss  0.871459, Average Loss  0.868654, Time  0.272202
2021-09-15 12:33:01.350784 : Epoch  4, Batch    836, Loss  0.864038, Average Loss  0.868628, Time  0.264149
2021-09-15 12:33:04.346459 : Epoch  4, Batch    837, Loss  0.884868, Average Loss  0.868626, Time  0.263220
2021-09-15 12:33:07.345950 : Epoch  4, Batch    838, Loss  0.868129, Average Loss  0.868700, Time  0.264085
2021-09-15 12:33:10.338658 : Epoch  4, Batch    839, Loss  0.863821, Average Loss  0.868666, Time  0.264496
2021-09-15 12:33:13.341951 : Epoch  4, Batch    840, Loss  0.878435, Average Loss  0.868721, Time  0.264302
2021-09-15 12:33:16.343340 : Epoch  4, Batch    841, Loss  0.879698, Average Loss  0.868717, Time  0.264702
2021-09-15 12:33:19.357707 : Epoch  4, Batch    842, Loss  0.858874, Average Loss  0.868679, Time  0.263387
2021-09-15 12:33:22.366997 : Epoch  4, Batch    843, Loss  0.867727, Average Loss  0.868594, Time  0.263710
2021-09-15 12:33:25.399355 : Epoch  4, Batch    844, Loss  0.862349, Average Loss  0.868575, Time  0.263241
2021-09-15 12:33:28.395360 : Epoch  4, Batch    845, Loss  0.870310, Average Loss  0.868545, Time  0.263297
2021-09-15 12:33:31.422075 : Epoch  4, Batch    846, Loss  0.869700, Average Loss  0.868561, Time  0.263042
2021-09-15 12:33:34.455718 : Epoch  4, Batch    847, Loss  0.869501, Average Loss  0.868540, Time  0.263108
2021-09-15 12:33:37.492052 : Epoch  4, Batch    848, Loss  0.862070, Average Loss  0.868444, Time  0.263513
2021-09-15 12:33:40.504436 : Epoch  4, Batch    849, Loss  0.861750, Average Loss  0.868334, Time  0.263963
2021-09-15 12:33:43.552991 : Epoch  4, Batch    850, Loss  0.866759, Average Loss  0.868300, Time  0.275754
2021-09-15 12:33:46.561297 : Epoch  4, Batch    851, Loss  0.877460, Average Loss  0.868332, Time  0.263995
2021-09-15 12:33:49.558463 : Epoch  4, Batch    852, Loss  0.875585, Average Loss  0.868358, Time  0.264545
2021-09-15 12:33:52.549524 : Epoch  4, Batch    853, Loss  0.869880, Average Loss  0.868336, Time  0.264032
2021-09-15 12:33:55.575122 : Epoch  4, Batch    854, Loss  0.856136, Average Loss  0.868216, Time  0.263515
2021-09-15 12:33:58.598862 : Epoch  4, Batch    855, Loss  0.864935, Average Loss  0.868142, Time  0.262646
2021-09-15 12:34:01.609267 : Epoch  4, Batch    856, Loss  0.868333, Average Loss  0.868198, Time  0.264941
2021-09-15 12:34:04.603957 : Epoch  4, Batch    857, Loss  0.857735, Average Loss  0.868090, Time  0.263269
2021-09-15 12:34:07.601846 : Epoch  4, Batch    858, Loss  0.857994, Average Loss  0.867995, Time  0.263625
2021-09-15 12:34:10.612820 : Epoch  4, Batch    859, Loss  0.876042, Average Loss  0.868055, Time  0.264842
2021-09-15 12:34:13.619059 : Epoch  4, Batch    860, Loss  0.867700, Average Loss  0.868104, Time  0.263238
2021-09-15 12:34:16.610454 : Epoch  4, Batch    861, Loss  0.866625, Average Loss  0.868073, Time  0.263472
2021-09-15 12:34:19.615289 : Epoch  4, Batch    862, Loss  0.884429, Average Loss  0.868182, Time  0.262028
2021-09-15 12:34:22.607554 : Epoch  4, Batch    863, Loss  0.864585, Average Loss  0.868107, Time  0.263850
2021-09-15 12:34:25.608008 : Epoch  4, Batch    864, Loss  0.848807, Average Loss  0.868100, Time  0.263874
2021-09-15 12:34:28.612769 : Epoch  4, Batch    865, Loss  0.869914, Average Loss  0.868140, Time  0.270108
2021-09-15 12:34:31.657173 : Epoch  4, Batch    866, Loss  0.867201, Average Loss  0.868130, Time  0.263444
2021-09-15 12:34:34.646431 : Epoch  4, Batch    867, Loss  0.873537, Average Loss  0.868186, Time  0.263265
2021-09-15 12:34:37.634093 : Epoch  4, Batch    868, Loss  0.854180, Average Loss  0.868159, Time  0.262802
2021-09-15 12:34:40.622717 : Epoch  4, Batch    869, Loss  0.867736, Average Loss  0.868211, Time  0.263364
2021-09-15 12:34:43.664549 : Epoch  4, Batch    870, Loss  0.864103, Average Loss  0.868196, Time  0.264486
2021-09-15 12:34:46.698896 : Epoch  4, Batch    871, Loss  0.868790, Average Loss  0.868148, Time  0.264026
2021-09-15 12:34:49.729802 : Epoch  4, Batch    872, Loss  0.875409, Average Loss  0.868225, Time  0.263560
2021-09-15 12:34:52.732147 : Epoch  4, Batch    873, Loss  0.858328, Average Loss  0.868148, Time  0.263134
2021-09-15 12:34:55.726751 : Epoch  4, Batch    874, Loss  0.852888, Average Loss  0.868177, Time  0.263810
2021-09-15 12:34:58.773824 : Epoch  4, Batch    875, Loss  0.868961, Average Loss  0.868094, Time  0.264086
2021-09-15 12:35:01.790940 : Epoch  4, Batch    876, Loss  0.861219, Average Loss  0.868113, Time  0.263407
2021-09-15 12:35:04.790409 : Epoch  4, Batch    877, Loss  0.880706, Average Loss  0.868199, Time  0.263282
2021-09-15 12:35:07.817073 : Epoch  4, Batch    878, Loss  0.833158, Average Loss  0.868019, Time  0.264213
2021-09-15 12:35:10.821252 : Epoch  4, Batch    879, Loss  0.873203, Average Loss  0.867988, Time  0.264894
2021-09-15 12:35:13.829435 : Epoch  4, Batch    880, Loss  0.861260, Average Loss  0.867994, Time  0.275734
2021-09-15 12:35:16.816124 : Epoch  4, Batch    881, Loss  0.874140, Average Loss  0.868016, Time  0.263716
2021-09-15 12:35:19.782003 : Epoch  4, Batch    882, Loss  0.872707, Average Loss  0.867959, Time  0.262253
2021-09-15 12:35:22.812820 : Epoch  4, Batch    883, Loss  0.873350, Average Loss  0.867865, Time  0.263792
2021-09-15 12:35:25.843562 : Epoch  4, Batch    884, Loss  0.871111, Average Loss  0.867963, Time  0.263234
2021-09-15 12:35:28.837404 : Epoch  4, Batch    885, Loss  0.874860, Average Loss  0.867934, Time  0.263337
2021-09-15 12:35:31.873171 : Epoch  4, Batch    886, Loss  0.865889, Average Loss  0.868050, Time  0.262946
2021-09-15 12:35:34.869107 : Epoch  4, Batch    887, Loss  0.866845, Average Loss  0.868037, Time  0.263488
2021-09-15 12:35:37.869677 : Epoch  4, Batch    888, Loss  0.865906, Average Loss  0.868017, Time  0.263531
2021-09-15 12:35:40.869694 : Epoch  4, Batch    889, Loss  0.874611, Average Loss  0.868028, Time  0.263078
2021-09-15 12:35:43.894161 : Epoch  4, Batch    890, Loss  0.868504, Average Loss  0.868025, Time  0.263041
2021-09-15 12:35:46.891214 : Epoch  4, Batch    891, Loss  0.866069, Average Loss  0.868057, Time  0.264019
2021-09-15 12:35:49.913051 : Epoch  4, Batch    892, Loss  0.863609, Average Loss  0.868060, Time  0.263830
2021-09-15 12:35:52.919211 : Epoch  4, Batch    893, Loss  0.873003, Average Loss  0.868046, Time  0.263174
2021-09-15 12:35:55.923788 : Epoch  4, Batch    894, Loss  0.884110, Average Loss  0.868136, Time  0.263457
2021-09-15 12:35:58.971512 : Epoch  4, Batch    895, Loss  0.867623, Average Loss  0.868177, Time  0.274599
2021-09-15 12:36:01.996657 : Epoch  4, Batch    896, Loss  0.856701, Average Loss  0.868047, Time  0.263614
2021-09-15 12:36:05.035791 : Epoch  4, Batch    897, Loss  0.865639, Average Loss  0.868023, Time  0.263801
2021-09-15 12:36:08.059813 : Epoch  4, Batch    898, Loss  0.853798, Average Loss  0.867938, Time  0.263293
2021-09-15 12:36:11.065868 : Epoch  4, Batch    899, Loss  0.853014, Average Loss  0.867872, Time  0.264191
2021-09-15 12:36:14.077506 : Epoch  4, Batch    900, Loss  0.884870, Average Loss  0.867998, Time  0.265306
2021-09-15 12:36:17.078055 : Epoch  4, Batch    901, Loss  0.873654, Average Loss  0.867957, Time  0.263307
2021-09-15 12:36:20.074754 : Epoch  4, Batch    902, Loss  0.860105, Average Loss  0.867860, Time  0.263273
2021-09-15 12:36:23.073855 : Epoch  4, Batch    903, Loss  0.874515, Average Loss  0.867950, Time  0.263230
2021-09-15 12:36:26.094915 : Epoch  4, Batch    904, Loss  0.868002, Average Loss  0.867929, Time  0.264452
2021-09-15 12:36:29.123402 : Epoch  4, Batch    905, Loss  0.867117, Average Loss  0.868025, Time  0.263110
2021-09-15 12:36:32.130635 : Epoch  4, Batch    906, Loss  0.862588, Average Loss  0.868006, Time  0.262629
2021-09-15 12:36:35.135165 : Epoch  4, Batch    907, Loss  0.870543, Average Loss  0.868032, Time  0.263415
2021-09-15 12:36:38.143965 : Epoch  4, Batch    908, Loss  0.875821, Average Loss  0.867973, Time  0.263445
2021-09-15 12:36:41.177163 : Epoch  4, Batch    909, Loss  0.857567, Average Loss  0.867962, Time  0.264051
2021-09-15 12:36:44.231791 : Epoch  4, Batch    910, Loss  0.863470, Average Loss  0.867892, Time  0.274271
2021-09-15 12:36:47.261492 : Epoch  4, Batch    911, Loss  0.880570, Average Loss  0.868022, Time  0.263418
2021-09-15 12:36:50.292818 : Epoch  4, Batch    912, Loss  0.861607, Average Loss  0.868091, Time  0.264157
2021-09-15 12:36:53.314906 : Epoch  4, Batch    913, Loss  0.891012, Average Loss  0.868180, Time  0.263276
2021-09-15 12:36:56.345470 : Epoch  4, Batch    914, Loss  0.865256, Average Loss  0.868163, Time  0.262926
2021-09-15 12:36:59.383800 : Epoch  4, Batch    915, Loss  0.861530, Average Loss  0.868234, Time  0.263472
2021-09-15 12:37:02.374800 : Epoch  4, Batch    916, Loss  0.846694, Average Loss  0.868224, Time  0.264187
2021-09-15 12:37:05.375731 : Epoch  4, Batch    917, Loss  0.868300, Average Loss  0.868311, Time  0.263098
2021-09-15 12:37:08.392050 : Epoch  4, Batch    918, Loss  0.855678, Average Loss  0.868237, Time  0.263185
2021-09-15 12:37:11.389904 : Epoch  4, Batch    919, Loss  0.884313, Average Loss  0.868320, Time  0.264255
2021-09-15 12:37:14.412417 : Epoch  4, Batch    920, Loss  0.843167, Average Loss  0.868239, Time  0.264726
2021-09-15 12:37:17.448073 : Epoch  4, Batch    921, Loss  0.876960, Average Loss  0.868311, Time  0.263840
2021-09-15 12:37:20.459255 : Epoch  4, Batch    922, Loss  0.881611, Average Loss  0.868435, Time  0.262943
2021-09-15 12:37:23.464975 : Epoch  4, Batch    923, Loss  0.875984, Average Loss  0.868455, Time  0.264193
2021-09-15 12:37:26.461865 : Epoch  4, Batch    924, Loss  0.876640, Average Loss  0.868500, Time  0.263622
2021-09-15 12:37:29.474635 : Epoch  4, Batch    925, Loss  0.864359, Average Loss  0.868438, Time  0.277921
2021-09-15 12:37:32.504828 : Epoch  4, Batch    926, Loss  0.864994, Average Loss  0.868327, Time  0.263952
2021-09-15 12:37:35.504844 : Epoch  4, Batch    927, Loss  0.858663, Average Loss  0.868331, Time  0.263731
2021-09-15 12:37:38.523055 : Epoch  4, Batch    928, Loss  0.886557, Average Loss  0.868375, Time  0.263209
2021-09-15 12:37:41.543454 : Epoch  4, Batch    929, Loss  0.862839, Average Loss  0.868276, Time  0.263237
2021-09-15 12:37:44.554559 : Epoch  4, Batch    930, Loss  0.864773, Average Loss  0.868194, Time  0.263956
2021-09-15 12:37:47.591363 : Epoch  4, Batch    931, Loss  0.871290, Average Loss  0.868271, Time  0.264603
2021-09-15 12:37:50.607219 : Epoch  4, Batch    932, Loss  0.868406, Average Loss  0.868147, Time  0.264084
2021-09-15 12:42:27.582680 : CheckPoint: Validation Loss  0.00029809, Best Loss  0.00029236
2021-09-15 12:42:30.628116 : Epoch  4, Batch    933, Loss  0.870333, Average Loss  0.868181, Time  0.265071
2021-09-15 12:42:33.611655 : Epoch  4, Batch    934, Loss  0.847230, Average Loss  0.868160, Time  0.264020
2021-09-15 12:42:36.650756 : Epoch  4, Batch    935, Loss  0.871342, Average Loss  0.868168, Time  0.263933
2021-09-15 12:42:39.687522 : Epoch  4, Batch    936, Loss  0.879444, Average Loss  0.868084, Time  0.262968
2021-09-15 12:42:42.693574 : Epoch  4, Batch    937, Loss  0.895409, Average Loss  0.868197, Time  0.262848
2021-09-15 12:42:45.713441 : Epoch  4, Batch    938, Loss  0.867375, Average Loss  0.868215, Time  0.264434
2021-09-15 12:42:48.739004 : Epoch  4, Batch    939, Loss  0.882854, Average Loss  0.868208, Time  0.265161
2021-09-15 12:42:51.786312 : Epoch  4, Batch    940, Loss  0.861357, Average Loss  0.868240, Time  0.272734
2021-09-15 12:42:54.810806 : Epoch  4, Batch    941, Loss  0.859214, Average Loss  0.868220, Time  0.263274
2021-09-15 12:42:57.806066 : Epoch  4, Batch    942, Loss  0.843162, Average Loss  0.868135, Time  0.263320
2021-09-15 12:43:00.811316 : Epoch  4, Batch    943, Loss  0.862831, Average Loss  0.868110, Time  0.263459
2021-09-15 12:43:03.804219 : Epoch  4, Batch    944, Loss  0.864648, Average Loss  0.867996, Time  0.262883
2021-09-15 12:43:06.793763 : Epoch  4, Batch    945, Loss  0.864680, Average Loss  0.867822, Time  0.262870
2021-09-15 12:43:09.787764 : Epoch  4, Batch    946, Loss  0.882089, Average Loss  0.867891, Time  0.263375
2021-09-15 12:43:12.782910 : Epoch  4, Batch    947, Loss  0.864134, Average Loss  0.867838, Time  0.263560
2021-09-15 12:43:15.779085 : Epoch  4, Batch    948, Loss  0.863735, Average Loss  0.867831, Time  0.262954
2021-09-15 12:43:18.774324 : Epoch  4, Batch    949, Loss  0.873564, Average Loss  0.867885, Time  0.263089
2021-09-15 12:43:21.751505 : Epoch  4, Batch    950, Loss  0.861091, Average Loss  0.867907, Time  0.261430
2021-09-15 12:43:24.730798 : Epoch  4, Batch    951, Loss  0.852518, Average Loss  0.867857, Time  0.263642
2021-09-15 12:43:27.746734 : Epoch  4, Batch    952, Loss  0.861480, Average Loss  0.867785, Time  0.263847
2021-09-15 12:43:30.767202 : Epoch  4, Batch    953, Loss  0.850339, Average Loss  0.867665, Time  0.262797
2021-09-15 12:43:33.767945 : Epoch  4, Batch    954, Loss  0.859971, Average Loss  0.867531, Time  0.264390
2021-09-15 12:43:36.786358 : Epoch  4, Batch    955, Loss  0.845010, Average Loss  0.867411, Time  0.277374
2021-09-15 12:43:39.771739 : Epoch  4, Batch    956, Loss  0.871610, Average Loss  0.867468, Time  0.264236
2021-09-15 12:43:42.803343 : Epoch  4, Batch    957, Loss  0.873471, Average Loss  0.867572, Time  0.263953
2021-09-15 12:43:45.810564 : Epoch  4, Batch    958, Loss  0.864335, Average Loss  0.867497, Time  0.262592
2021-09-15 12:43:48.802883 : Epoch  4, Batch    959, Loss  0.855046, Average Loss  0.867392, Time  0.262898
2021-09-15 12:43:51.830692 : Epoch  4, Batch    960, Loss  0.870625, Average Loss  0.867617, Time  0.264637
2021-09-15 12:43:54.852571 : Epoch  4, Batch    961, Loss  0.844325, Average Loss  0.867503, Time  0.263113
2021-09-15 12:43:57.856205 : Epoch  4, Batch    962, Loss  0.873688, Average Loss  0.867518, Time  0.264796
2021-09-15 12:44:00.873183 : Epoch  4, Batch    963, Loss  0.883754, Average Loss  0.867593, Time  0.263758
2021-09-15 12:44:03.872900 : Epoch  4, Batch    964, Loss  0.874882, Average Loss  0.867821, Time  0.263941
2021-09-15 12:44:06.866289 : Epoch  4, Batch    965, Loss  0.857041, Average Loss  0.867855, Time  0.263218
2021-09-15 12:44:09.874980 : Epoch  4, Batch    966, Loss  0.877115, Average Loss  0.867904, Time  0.262539
2021-09-15 12:44:12.864642 : Epoch  4, Batch    967, Loss  0.871506, Average Loss  0.867855, Time  0.263458
2021-09-15 12:44:15.866383 : Epoch  4, Batch    968, Loss  0.856870, Average Loss  0.867689, Time  0.263782
2021-09-15 12:44:18.863670 : Epoch  4, Batch    969, Loss  0.863264, Average Loss  0.867630, Time  0.263252
2021-09-15 12:44:21.894903 : Epoch  4, Batch    970, Loss  0.879850, Average Loss  0.867675, Time  0.271885
2021-09-15 12:44:24.910883 : Epoch  4, Batch    971, Loss  0.887415, Average Loss  0.867774, Time  0.264160
2021-09-15 12:44:27.919815 : Epoch  4, Batch    972, Loss  0.856519, Average Loss  0.867685, Time  0.263431
2021-09-15 12:44:30.921216 : Epoch  4, Batch    973, Loss  0.861134, Average Loss  0.867855, Time  0.263305
2021-09-15 12:44:33.915365 : Epoch  4, Batch    974, Loss  0.881202, Average Loss  0.867963, Time  0.263946
2021-09-15 12:44:36.956293 : Epoch  4, Batch    975, Loss  0.859428, Average Loss  0.867886, Time  0.264195
2021-09-15 12:44:39.976304 : Epoch  4, Batch    976, Loss  0.873262, Average Loss  0.867972, Time  0.265120
2021-09-15 12:44:42.979564 : Epoch  4, Batch    977, Loss  0.885671, Average Loss  0.867994, Time  0.263324
2021-09-15 12:44:46.005014 : Epoch  4, Batch    978, Loss  0.872416, Average Loss  0.867958, Time  0.263754
2021-09-15 12:44:49.011858 : Epoch  4, Batch    979, Loss  0.885568, Average Loss  0.868041, Time  0.263152
2021-09-15 12:44:52.004394 : Epoch  4, Batch    980, Loss  0.888910, Average Loss  0.868285, Time  0.264711
2021-09-15 12:44:54.996430 : Epoch  4, Batch    981, Loss  0.858870, Average Loss  0.868202, Time  0.262473
2021-09-15 12:44:57.996502 : Epoch  4, Batch    982, Loss  0.883269, Average Loss  0.868233, Time  0.264657
2021-09-15 12:45:01.000302 : Epoch  4, Batch    983, Loss  0.887991, Average Loss  0.868248, Time  0.263302
2021-09-15 12:45:04.024680 : Epoch  4, Batch    984, Loss  0.874096, Average Loss  0.868232, Time  0.263288
2021-09-15 12:45:07.120073 : Epoch  4, Batch    985, Loss  0.854692, Average Loss  0.868154, Time  0.272908
2021-09-15 12:45:10.172702 : Epoch  4, Batch    986, Loss  0.868311, Average Loss  0.868127, Time  0.265182
2021-09-15 12:45:13.242448 : Epoch  4, Batch    987, Loss  0.863666, Average Loss  0.868166, Time  0.262975
2021-09-15 12:45:16.280047 : Epoch  4, Batch    988, Loss  0.849697, Average Loss  0.868055, Time  0.263737
2021-09-15 12:45:19.289339 : Epoch  4, Batch    989, Loss  0.875263, Average Loss  0.868036, Time  0.263216
2021-09-15 12:45:22.282510 : Epoch  4, Batch    990, Loss  0.884139, Average Loss  0.868084, Time  0.262849
2021-09-15 12:45:25.255381 : Epoch  4, Batch    991, Loss  0.841040, Average Loss  0.867885, Time  0.264437
2021-09-15 12:45:28.286542 : Epoch  4, Batch    992, Loss  0.862119, Average Loss  0.867794, Time  0.263226
2021-09-15 12:45:31.276176 : Epoch  4, Batch    993, Loss  0.859390, Average Loss  0.867817, Time  0.262957
2021-09-15 12:45:34.266739 : Epoch  4, Batch    994, Loss  0.886509, Average Loss  0.867854, Time  0.263442
2021-09-15 12:45:37.264400 : Epoch  4, Batch    995, Loss  0.892616, Average Loss  0.868062, Time  0.263375
2021-09-15 12:45:40.268639 : Epoch  4, Batch    996, Loss  0.852836, Average Loss  0.867951, Time  0.263092
2021-09-15 12:45:43.270352 : Epoch  4, Batch    997, Loss  0.848947, Average Loss  0.867755, Time  0.263118
2021-09-15 12:45:46.262222 : Epoch  4, Batch    998, Loss  0.880841, Average Loss  0.867935, Time  0.263205
2021-09-15 12:45:49.257548 : Epoch  4, Batch    999, Loss  0.864253, Average Loss  0.868069, Time  0.263457
2021-09-15 12:45:52.273125 : Epoch  4, Batch   1000, Loss  0.885350, Average Loss  0.868214, Time  0.271784
2021-09-15 12:45:55.281045 : Epoch  4, Batch   1001, Loss  0.868371, Average Loss  0.868293, Time  0.265191
2021-09-15 12:45:58.289234 : Epoch  4, Batch   1002, Loss  0.901332, Average Loss  0.868379, Time  0.264692
2021-09-15 12:46:01.281589 : Epoch  4, Batch   1003, Loss  0.855782, Average Loss  0.868273, Time  0.262533
2021-09-15 12:46:04.294475 : Epoch  4, Batch   1004, Loss  0.876256, Average Loss  0.868366, Time  0.263719
2021-09-15 12:46:07.334950 : Epoch  4, Batch   1005, Loss  0.852021, Average Loss  0.868443, Time  0.263180
2021-09-15 12:46:10.347867 : Epoch  4, Batch   1006, Loss  0.865925, Average Loss  0.868514, Time  0.264506
2021-09-15 12:46:13.365000 : Epoch  4, Batch   1007, Loss  0.905151, Average Loss  0.868613, Time  0.263245
2021-09-15 12:46:16.397111 : Epoch  4, Batch   1008, Loss  0.873474, Average Loss  0.868666, Time  0.264259
2021-09-15 12:46:19.440940 : Epoch  4, Batch   1009, Loss  0.874989, Average Loss  0.868641, Time  0.264144
2021-09-15 12:46:22.475288 : Epoch  4, Batch   1010, Loss  0.859154, Average Loss  0.868464, Time  0.265256
2021-09-15 12:46:25.479642 : Epoch  4, Batch   1011, Loss  0.885526, Average Loss  0.868465, Time  0.263477
2021-09-15 12:46:28.493333 : Epoch  4, Batch   1012, Loss  0.854396, Average Loss  0.868312, Time  0.263775
2021-09-15 12:46:31.496121 : Epoch  4, Batch   1013, Loss  0.855305, Average Loss  0.868242, Time  0.263341
2021-09-15 12:46:34.497611 : Epoch  4, Batch   1014, Loss  0.864869, Average Loss  0.868173, Time  0.264820
2021-09-15 12:46:37.534340 : Epoch  4, Batch   1015, Loss  0.886527, Average Loss  0.868272, Time  0.274819
2021-09-15 12:46:40.562949 : Epoch  4, Batch   1016, Loss  0.874773, Average Loss  0.868340, Time  0.263069
2021-09-15 12:46:43.576279 : Epoch  4, Batch   1017, Loss  0.886874, Average Loss  0.868324, Time  0.263491
2021-09-15 12:46:46.611388 : Epoch  4, Batch   1018, Loss  0.884684, Average Loss  0.868497, Time  0.263734
2021-09-15 12:46:49.645635 : Epoch  4, Batch   1019, Loss  0.865887, Average Loss  0.868519, Time  0.263320
2021-09-15 12:46:52.709538 : Epoch  4, Batch   1020, Loss  0.882112, Average Loss  0.868548, Time  0.264086
2021-09-15 12:46:55.738176 : Epoch  4, Batch   1021, Loss  0.873183, Average Loss  0.868621, Time  0.265081
2021-09-15 12:46:58.734369 : Epoch  4, Batch   1022, Loss  0.865139, Average Loss  0.868654, Time  0.263613
2021-09-15 12:47:01.736589 : Epoch  4, Batch   1023, Loss  0.870445, Average Loss  0.868684, Time  0.263801
2021-09-15 12:47:04.730213 : Epoch  4, Batch   1024, Loss  0.874086, Average Loss  0.868714, Time  0.263051
2021-09-15 12:47:07.718262 : Epoch  4, Batch   1025, Loss  0.880416, Average Loss  0.868661, Time  0.263269
2021-09-15 12:47:10.760813 : Epoch  4, Batch   1026, Loss  0.872773, Average Loss  0.868724, Time  0.263665
2021-09-15 12:47:13.797352 : Epoch  4, Batch   1027, Loss  0.855610, Average Loss  0.868612, Time  0.263480
2021-09-15 12:47:16.809094 : Epoch  4, Batch   1028, Loss  0.866101, Average Loss  0.868577, Time  0.263299
2021-09-15 12:47:19.820604 : Epoch  4, Batch   1029, Loss  0.872772, Average Loss  0.868549, Time  0.263437
2021-09-15 12:47:22.828013 : Epoch  4, Batch   1030, Loss  0.864302, Average Loss  0.868574, Time  0.273685
2021-09-15 12:47:25.862374 : Epoch  4, Batch   1031, Loss  0.859642, Average Loss  0.868535, Time  0.263878
2021-09-15 12:47:28.866695 : Epoch  4, Batch   1032, Loss  0.875714, Average Loss  0.868529, Time  0.262900
2021-09-15 12:52:07.164263 : CheckPoint: Validation Loss  0.00031411, Best Loss  0.00029236
2021-09-15 12:52:10.162043 : Epoch  4, Batch   1033, Loss  0.877623, Average Loss  0.868540, Time  0.265346
2021-09-15 12:52:13.149963 : Epoch  4, Batch   1034, Loss  0.875546, Average Loss  0.868553, Time  0.264053
2021-09-15 12:52:16.127597 : Epoch  4, Batch   1035, Loss  0.872647, Average Loss  0.868559, Time  0.263167
2021-09-15 12:52:19.113668 : Epoch  4, Batch   1036, Loss  0.884935, Average Loss  0.868664, Time  0.263470
2021-09-15 12:52:22.129150 : Epoch  4, Batch   1037, Loss  0.880755, Average Loss  0.868643, Time  0.264528
2021-09-15 12:52:25.149821 : Epoch  4, Batch   1038, Loss  0.872100, Average Loss  0.868663, Time  0.263313
2021-09-15 12:52:28.157827 : Epoch  4, Batch   1039, Loss  0.859676, Average Loss  0.868642, Time  0.264192
2021-09-15 12:52:31.187192 : Epoch  4, Batch   1040, Loss  0.861248, Average Loss  0.868556, Time  0.263435
2021-09-15 12:52:34.202657 : Epoch  4, Batch   1041, Loss  0.867788, Average Loss  0.868497, Time  0.264899
2021-09-15 12:52:37.205464 : Epoch  4, Batch   1042, Loss  0.876970, Average Loss  0.868587, Time  0.263373
2021-09-15 12:52:40.195264 : Epoch  4, Batch   1043, Loss  0.853690, Average Loss  0.868517, Time  0.264647
2021-09-15 12:52:43.196571 : Epoch  4, Batch   1044, Loss  0.880315, Average Loss  0.868607, Time  0.263118
2021-09-15 12:52:46.195621 : Epoch  4, Batch   1045, Loss  0.873227, Average Loss  0.868621, Time  0.275458
2021-09-15 12:52:49.199012 : Epoch  4, Batch   1046, Loss  0.892668, Average Loss  0.868736, Time  0.263927
2021-09-15 12:52:52.182552 : Epoch  4, Batch   1047, Loss  0.874491, Average Loss  0.868761, Time  0.263356
2021-09-15 12:52:55.160280 : Epoch  4, Batch   1048, Loss  0.881720, Average Loss  0.868860, Time  0.263512
2021-09-15 12:52:58.127708 : Epoch  4, Batch   1049, Loss  0.868536, Average Loss  0.868893, Time  0.262649
2021-09-15 12:53:01.104503 : Epoch  4, Batch   1050, Loss  0.889519, Average Loss  0.869007, Time  0.263679
2021-09-15 12:53:04.114985 : Epoch  4, Batch   1051, Loss  0.888633, Average Loss  0.869063, Time  0.262781
2021-09-15 12:53:07.098148 : Epoch  4, Batch   1052, Loss  0.888632, Average Loss  0.869128, Time  0.264462
2021-09-15 12:53:10.105376 : Epoch  4, Batch   1053, Loss  0.875059, Average Loss  0.869154, Time  0.264122
2021-09-15 12:53:13.121428 : Epoch  4, Batch   1054, Loss  0.882850, Average Loss  0.869288, Time  0.262531
2021-09-15 12:53:16.123382 : Epoch  4, Batch   1055, Loss  0.860669, Average Loss  0.869266, Time  0.263351
2021-09-15 12:53:19.092540 : Epoch  4, Batch   1056, Loss  0.881461, Average Loss  0.869332, Time  0.263952
2021-09-15 12:53:22.078170 : Epoch  4, Batch   1057, Loss  0.871353, Average Loss  0.869400, Time  0.264062
2021-09-15 12:53:25.057162 : Epoch  4, Batch   1058, Loss  0.876533, Average Loss  0.869493, Time  0.262978
2021-09-15 12:53:28.036981 : Epoch  4, Batch   1059, Loss  0.868459, Average Loss  0.869455, Time  0.263304
2021-09-15 12:53:31.035842 : Epoch  4, Batch   1060, Loss  0.852906, Average Loss  0.869381, Time  0.270957
2021-09-15 12:53:34.021610 : Epoch  4, Batch   1061, Loss  0.881704, Average Loss  0.869456, Time  0.265652
2021-09-15 12:53:37.013938 : Epoch  4, Batch   1062, Loss  0.866161, Average Loss  0.869365, Time  0.262965
2021-09-15 12:53:39.992479 : Epoch  4, Batch   1063, Loss  0.857199, Average Loss  0.869328, Time  0.263778
2021-09-15 12:53:42.976615 : Epoch  4, Batch   1064, Loss  0.850486, Average Loss  0.869337, Time  0.263422
2021-09-15 12:53:45.996675 : Epoch  4, Batch   1065, Loss  0.880489, Average Loss  0.869389, Time  0.264892
2021-09-15 12:53:49.002739 : Epoch  4, Batch   1066, Loss  0.872511, Average Loss  0.869416, Time  0.263841
2021-09-15 12:53:51.984960 : Epoch  4, Batch   1067, Loss  0.869474, Average Loss  0.869396, Time  0.263394
2021-09-15 12:53:54.958226 : Epoch  4, Batch   1068, Loss  0.847477, Average Loss  0.869362, Time  0.262686
2021-09-15 12:53:57.928220 : Epoch  4, Batch   1069, Loss  0.858855, Average Loss  0.869318, Time  0.263356
2021-09-15 12:54:00.929353 : Epoch  4, Batch   1070, Loss  0.883703, Average Loss  0.869416, Time  0.264534
2021-09-15 12:54:03.880311 : Epoch  4, Batch   1071, Loss  0.879538, Average Loss  0.869469, Time  0.263310
2021-09-15 12:54:06.985618 : Epoch  4, Batch   1072, Loss  0.864339, Average Loss  0.869414, Time  0.263293
2021-09-15 12:54:09.964937 : Epoch  4, Batch   1073, Loss  0.883827, Average Loss  0.869542, Time  0.262789
2021-09-15 12:54:12.985221 : Epoch  4, Batch   1074, Loss  0.855643, Average Loss  0.869555, Time  0.264141
2021-09-15 12:54:15.982060 : Epoch  4, Batch   1075, Loss  0.874348, Average Loss  0.869582, Time  0.273058
2021-09-15 12:54:18.959485 : Epoch  4, Batch   1076, Loss  0.864344, Average Loss  0.869598, Time  0.263645
2021-09-15 12:54:21.957803 : Epoch  4, Batch   1077, Loss  0.886020, Average Loss  0.869624, Time  0.263460
2021-09-15 12:54:24.969529 : Epoch  4, Batch   1078, Loss  0.870399, Average Loss  0.869811, Time  0.264214
2021-09-15 12:54:27.952331 : Epoch  4, Batch   1079, Loss  0.872571, Average Loss  0.869808, Time  0.263896
2021-09-15 12:54:30.919276 : Epoch  4, Batch   1080, Loss  0.876491, Average Loss  0.869884, Time  0.263114
2021-09-15 12:54:33.904472 : Epoch  4, Batch   1081, Loss  0.867512, Average Loss  0.869851, Time  0.264312
2021-09-15 12:54:36.886545 : Epoch  4, Batch   1082, Loss  0.868359, Average Loss  0.869829, Time  0.263427
2021-09-15 12:54:39.870518 : Epoch  4, Batch   1083, Loss  0.856167, Average Loss  0.869743, Time  0.265137
2021-09-15 12:54:42.827326 : Epoch  4, Batch   1084, Loss  0.872571, Average Loss  0.869750, Time  0.264031
2021-09-15 12:54:45.834614 : Epoch  4, Batch   1085, Loss  0.884661, Average Loss  0.869799, Time  0.264269
2021-09-15 12:54:48.850113 : Epoch  4, Batch   1086, Loss  0.900658, Average Loss  0.869973, Time  0.263052
2021-09-15 12:54:51.852356 : Epoch  4, Batch   1087, Loss  0.867813, Average Loss  0.869978, Time  0.263401
2021-09-15 12:54:54.824401 : Epoch  4, Batch   1088, Loss  0.867950, Average Loss  0.869988, Time  0.263476
2021-09-15 12:54:57.792996 : Epoch  4, Batch   1089, Loss  0.850854, Average Loss  0.869869, Time  0.263388
2021-09-15 12:55:00.784711 : Epoch  4, Batch   1090, Loss  0.878385, Average Loss  0.869919, Time  0.270728
2021-09-15 12:55:03.768729 : Epoch  4, Batch   1091, Loss  0.889993, Average Loss  0.870038, Time  0.263191
2021-09-15 12:55:06.746880 : Epoch  4, Batch   1092, Loss  0.866946, Average Loss  0.870055, Time  0.263814
2021-09-15 12:55:09.731591 : Epoch  4, Batch   1093, Loss  0.847627, Average Loss  0.869928, Time  0.263802
2021-09-15 12:55:12.713960 : Epoch  4, Batch   1094, Loss  0.876651, Average Loss  0.869891, Time  0.263410
2021-09-15 12:55:15.695343 : Epoch  4, Batch   1095, Loss  0.884104, Average Loss  0.869973, Time  0.263716
2021-09-15 12:55:18.673955 : Epoch  4, Batch   1096, Loss  0.885881, Average Loss  0.870119, Time  0.263906
2021-09-15 12:55:21.681451 : Epoch  4, Batch   1097, Loss  0.851503, Average Loss  0.870048, Time  0.264774
2021-09-15 12:55:24.666725 : Epoch  4, Batch   1098, Loss  0.877617, Average Loss  0.870168, Time  0.263714
2021-09-15 12:55:27.661362 : Epoch  4, Batch   1099, Loss  0.871708, Average Loss  0.870261, Time  0.262714
2021-09-15 12:55:30.632557 : Epoch  4, Batch   1100, Loss  0.850060, Average Loss  0.870087, Time  0.263508
2021-09-15 12:55:33.619420 : Epoch  4, Batch   1101, Loss  0.866270, Average Loss  0.870050, Time  0.263855
2021-09-15 12:55:36.610858 : Epoch  4, Batch   1102, Loss  0.874206, Average Loss  0.870121, Time  0.265411
2021-09-15 12:55:39.593674 : Epoch  4, Batch   1103, Loss  0.858211, Average Loss  0.870039, Time  0.264200
2021-09-15 12:55:42.574474 : Epoch  4, Batch   1104, Loss  0.868996, Average Loss  0.870044, Time  0.262948
2021-09-15 12:55:45.550890 : Epoch  4, Batch   1105, Loss  0.866535, Average Loss  0.870041, Time  0.263311
2021-09-15 12:55:48.569683 : Epoch  4, Batch   1106, Loss  0.869358, Average Loss  0.870075, Time  0.272469
2021-09-15 12:55:51.581363 : Epoch  4, Batch   1107, Loss  0.883433, Average Loss  0.870139, Time  0.263871
2021-09-15 12:55:54.576741 : Epoch  4, Batch   1108, Loss  0.880805, Average Loss  0.870164, Time  0.263187
2021-09-15 12:55:57.599263 : Epoch  4, Batch   1109, Loss  0.886468, Average Loss  0.870309, Time  0.262751
2021-09-15 12:56:00.563163 : Epoch  4, Batch   1110, Loss  0.864591, Average Loss  0.870314, Time  0.263972
2021-09-15 12:56:03.552773 : Epoch  4, Batch   1111, Loss  0.874487, Average Loss  0.870284, Time  0.263180
2021-09-15 12:56:06.527864 : Epoch  4, Batch   1112, Loss  0.877114, Average Loss  0.870362, Time  0.262985
2021-09-15 12:56:09.506637 : Epoch  4, Batch   1113, Loss  0.877285, Average Loss  0.870293, Time  0.263098
2021-09-15 12:56:12.505267 : Epoch  4, Batch   1114, Loss  0.875528, Average Loss  0.870344, Time  0.263914
2021-09-15 12:56:15.507200 : Epoch  4, Batch   1115, Loss  0.861592, Average Loss  0.870345, Time  0.262992
2021-09-15 12:56:18.495219 : Epoch  4, Batch   1116, Loss  0.872567, Average Loss  0.870474, Time  0.263941
2021-09-15 12:56:21.469631 : Epoch  4, Batch   1117, Loss  0.858934, Average Loss  0.870427, Time  0.263755
2021-09-15 12:56:24.486008 : Epoch  4, Batch   1118, Loss  0.879005, Average Loss  0.870544, Time  0.263800
2021-09-15 12:56:27.474949 : Epoch  4, Batch   1119, Loss  0.861775, Average Loss  0.870431, Time  0.264829
2021-09-15 12:56:30.470063 : Epoch  4, Batch   1120, Loss  0.858867, Average Loss  0.870510, Time  0.263153
2021-09-15 12:56:33.484634 : Epoch  4, Batch   1121, Loss  0.866318, Average Loss  0.870456, Time  0.275743
2021-09-15 12:56:36.487676 : Epoch  4, Batch   1122, Loss  0.863497, Average Loss  0.870366, Time  0.265305
2021-09-15 12:56:39.481227 : Epoch  4, Batch   1123, Loss  0.877325, Average Loss  0.870373, Time  0.263313
2021-09-15 12:56:42.469050 : Epoch  4, Batch   1124, Loss  0.862375, Average Loss  0.870301, Time  0.264719
2021-09-15 12:56:45.473692 : Epoch  4, Batch   1125, Loss  0.880377, Average Loss  0.870381, Time  0.264384
2021-09-15 12:56:48.480185 : Epoch  4, Batch   1126, Loss  0.869753, Average Loss  0.870405, Time  0.262803
2021-09-15 12:56:51.477748 : Epoch  4, Batch   1127, Loss  0.872586, Average Loss  0.870475, Time  0.264537
2021-09-15 12:56:54.487048 : Epoch  4, Batch   1128, Loss  0.869221, Average Loss  0.870388, Time  0.263170
2021-09-15 12:56:57.468869 : Epoch  4, Batch   1129, Loss  0.867868, Average Loss  0.870413, Time  0.263142
2021-09-15 12:57:00.491943 : Epoch  4, Batch   1130, Loss  0.869426, Average Loss  0.870436, Time  0.263911
2021-09-15 12:57:03.502162 : Epoch  4, Batch   1131, Loss  0.871194, Average Loss  0.870436, Time  0.264021
2021-09-15 12:57:06.494070 : Epoch  4, Batch   1132, Loss  0.872615, Average Loss  0.870457, Time  0.264225
2021-09-15 13:01:44.287142 : CheckPoint: Validation Loss  0.00030173, Best Loss  0.00029236
2021-09-15 13:01:47.297655 : Epoch  4, Batch   1133, Loss  0.866780, Average Loss  0.870439, Time  0.264998
2021-09-15 13:01:50.277714 : Epoch  4, Batch   1134, Loss  0.872281, Average Loss  0.870564, Time  0.262815
2021-09-15 13:01:53.247062 : Epoch  4, Batch   1135, Loss  0.856742, Average Loss  0.870491, Time  0.263140
2021-09-15 13:01:56.239991 : Epoch  4, Batch   1136, Loss  0.870971, Average Loss  0.870449, Time  0.264205
2021-09-15 13:01:59.246361 : Epoch  4, Batch   1137, Loss  0.861378, Average Loss  0.870279, Time  0.263354
2021-09-15 13:02:02.244166 : Epoch  4, Batch   1138, Loss  0.878467, Average Loss  0.870334, Time  0.274195
2021-09-15 13:02:05.221127 : Epoch  4, Batch   1139, Loss  0.852526, Average Loss  0.870183, Time  0.263277
2021-09-15 13:02:08.200429 : Epoch  4, Batch   1140, Loss  0.870123, Average Loss  0.870227, Time  0.263733
2021-09-15 13:02:11.196310 : Epoch  4, Batch   1141, Loss  0.878682, Average Loss  0.870324, Time  0.264294
2021-09-15 13:02:14.195920 : Epoch  4, Batch   1142, Loss  0.874066, Average Loss  0.870478, Time  0.265326
2021-09-15 13:02:17.184495 : Epoch  4, Batch   1143, Loss  0.867286, Average Loss  0.870501, Time  0.264243
2021-09-15 13:02:20.171437 : Epoch  4, Batch   1144, Loss  0.857214, Average Loss  0.870464, Time  0.264008
2021-09-15 13:02:23.149508 : Epoch  4, Batch   1145, Loss  0.865913, Average Loss  0.870470, Time  0.264503
2021-09-15 13:02:26.157345 : Epoch  4, Batch   1146, Loss  0.894294, Average Loss  0.870531, Time  0.263994
2021-09-15 13:02:29.148591 : Epoch  4, Batch   1147, Loss  0.886099, Average Loss  0.870641, Time  0.264670
2021-09-15 13:02:32.172681 : Epoch  4, Batch   1148, Loss  0.894445, Average Loss  0.870794, Time  0.264100
2021-09-15 13:02:35.165443 : Epoch  4, Batch   1149, Loss  0.872630, Average Loss  0.870789, Time  0.262823
2021-09-15 13:02:38.144743 : Epoch  4, Batch   1150, Loss  0.863661, Average Loss  0.870802, Time  0.264452
2021-09-15 13:02:41.151629 : Epoch  4, Batch   1151, Loss  0.865758, Average Loss  0.870868, Time  0.262905
2021-09-15 13:02:44.137822 : Epoch  4, Batch   1152, Loss  0.862198, Average Loss  0.870872, Time  0.263417
2021-09-15 13:02:47.119569 : Epoch  4, Batch   1153, Loss  0.860525, Average Loss  0.870923, Time  0.276363
2021-09-15 13:02:50.104965 : Epoch  4, Batch   1154, Loss  0.864857, Average Loss  0.870947, Time  0.264399
2021-09-15 13:02:53.148423 : Epoch  4, Batch   1155, Loss  0.874961, Average Loss  0.871097, Time  0.264262
2021-09-15 13:02:56.137351 : Epoch  4, Batch   1156, Loss  0.873457, Average Loss  0.871106, Time  0.263608
2021-09-15 13:02:59.132075 : Epoch  4, Batch   1157, Loss  0.876715, Average Loss  0.871123, Time  0.263009
2021-09-15 13:03:02.122270 : Epoch  4, Batch   1158, Loss  0.869614, Average Loss  0.871149, Time  0.263459
2021-09-15 13:03:05.115013 : Epoch  4, Batch   1159, Loss  0.859159, Average Loss  0.871170, Time  0.263594
2021-09-15 13:03:08.120113 : Epoch  4, Batch   1160, Loss  0.859363, Average Loss  0.871113, Time  0.262802
2021-09-15 13:03:11.090759 : Epoch  4, Batch   1161, Loss  0.869038, Average Loss  0.871237, Time  0.263510
2021-09-15 13:03:14.103957 : Epoch  4, Batch   1162, Loss  0.888428, Average Loss  0.871311, Time  0.264893
2021-09-15 13:03:17.097800 : Epoch  4, Batch   1163, Loss  0.875018, Average Loss  0.871267, Time  0.263802
2021-09-15 13:03:20.152180 : Epoch  4, Batch   1164, Loss  0.853724, Average Loss  0.871161, Time  0.264411
2021-09-15 13:03:23.152732 : Epoch  4, Batch   1165, Loss  0.878985, Average Loss  0.871271, Time  0.263835
2021-09-15 13:03:26.161821 : Epoch  4, Batch   1166, Loss  0.874397, Average Loss  0.871257, Time  0.263738
2021-09-15 13:03:29.157238 : Epoch  4, Batch   1167, Loss  0.873803, Average Loss  0.871269, Time  0.264373
2021-09-15 13:03:32.193756 : Epoch  4, Batch   1168, Loss  0.893299, Average Loss  0.871451, Time  0.271453
2021-09-15 13:03:35.214860 : Epoch  4, Batch   1169, Loss  0.855738, Average Loss  0.871413, Time  0.264553
2021-09-15 13:03:38.228785 : Epoch  4, Batch   1170, Loss  0.867721, Average Loss  0.871353, Time  0.265388
2021-09-15 13:03:41.204937 : Epoch  4, Batch   1171, Loss  0.850604, Average Loss  0.871169, Time  0.263880
2021-09-15 13:03:44.192329 : Epoch  4, Batch   1172, Loss  0.876263, Average Loss  0.871267, Time  0.263133
2021-09-15 13:03:47.296030 : Epoch  4, Batch   1173, Loss  0.874760, Average Loss  0.871335, Time  0.266476
2021-09-15 13:03:50.278558 : Epoch  4, Batch   1174, Loss  0.849747, Average Loss  0.871178, Time  0.263496
2021-09-15 13:03:53.251739 : Epoch  4, Batch   1175, Loss  0.879916, Average Loss  0.871281, Time  0.264295
2021-09-15 13:03:56.227341 : Epoch  4, Batch   1176, Loss  0.872076, Average Loss  0.871275, Time  0.263271
2021-09-15 13:03:59.219328 : Epoch  4, Batch   1177, Loss  0.893907, Average Loss  0.871316, Time  0.262837
2021-09-15 13:04:02.234617 : Epoch  4, Batch   1178, Loss  0.876214, Average Loss  0.871335, Time  0.263920
2021-09-15 13:04:05.223806 : Epoch  4, Batch   1179, Loss  0.879190, Average Loss  0.871303, Time  0.265548
2021-09-15 13:04:08.197412 : Epoch  4, Batch   1180, Loss  0.863625, Average Loss  0.871176, Time  0.264019
2021-09-15 13:04:11.208756 : Epoch  4, Batch   1181, Loss  0.870958, Average Loss  0.871237, Time  0.264345
2021-09-15 13:04:14.212564 : Epoch  4, Batch   1182, Loss  0.883813, Average Loss  0.871240, Time  0.263053
2021-09-15 13:04:17.226242 : Epoch  4, Batch   1183, Loss  0.882743, Average Loss  0.871213, Time  0.275279
2021-09-15 13:04:20.220034 : Epoch  4, Batch   1184, Loss  0.861167, Average Loss  0.871149, Time  0.264425
2021-09-15 13:04:23.199489 : Epoch  4, Batch   1185, Loss  0.859596, Average Loss  0.871173, Time  0.264276
2021-09-15 13:04:26.181740 : Epoch  4, Batch   1186, Loss  0.877514, Average Loss  0.871219, Time  0.263266
2021-09-15 13:04:29.166598 : Epoch  4, Batch   1187, Loss  0.870768, Average Loss  0.871255, Time  0.264408
2021-09-15 13:04:32.188733 : Epoch  4, Batch   1188, Loss  0.862570, Average Loss  0.871319, Time  0.263501
2021-09-15 13:04:35.167929 : Epoch  4, Batch   1189, Loss  0.874646, Average Loss  0.871316, Time  0.263583
2021-09-15 13:04:38.185502 : Epoch  4, Batch   1190, Loss  0.874838, Average Loss  0.871270, Time  0.263998
2021-09-15 13:04:41.169340 : Epoch  4, Batch   1191, Loss  0.865253, Average Loss  0.871391, Time  0.264949
2021-09-15 13:04:44.183069 : Epoch  4, Batch   1192, Loss  0.872496, Average Loss  0.871442, Time  0.263521
2021-09-15 13:04:47.157502 : Epoch  4, Batch   1193, Loss  0.867741, Average Loss  0.871484, Time  0.264067
2021-09-15 13:04:50.129086 : Epoch  4, Batch   1194, Loss  0.868620, Average Loss  0.871395, Time  0.263867
2021-09-15 13:04:53.111004 : Epoch  4, Batch   1195, Loss  0.863488, Average Loss  0.871249, Time  0.263906
2021-09-15 13:04:56.127457 : Epoch  4, Batch   1196, Loss  0.891475, Average Loss  0.871442, Time  0.264366
2021-09-15 13:04:59.108906 : Epoch  4, Batch   1197, Loss  0.863164, Average Loss  0.871513, Time  0.263064
2021-09-15 13:05:02.094924 : Epoch  4, Batch   1198, Loss  0.830413, Average Loss  0.871261, Time  0.272430
2021-09-15 13:05:05.066602 : Epoch  4, Batch   1199, Loss  0.869620, Average Loss  0.871288, Time  0.263795
2021-09-15 13:05:08.041964 : Epoch  4, Batch   1200, Loss  0.873212, Average Loss  0.871227, Time  0.263073
2021-09-15 13:05:11.071350 : Epoch  4, Batch   1201, Loss  0.870113, Average Loss  0.871236, Time  0.262987
2021-09-15 13:05:14.047895 : Epoch  4, Batch   1202, Loss  0.871915, Average Loss  0.871089, Time  0.263488
2021-09-15 13:05:17.025713 : Epoch  4, Batch   1203, Loss  0.867964, Average Loss  0.871150, Time  0.264045
2021-09-15 13:05:19.990967 : Epoch  4, Batch   1204, Loss  0.875118, Average Loss  0.871144, Time  0.263978
2021-09-15 13:05:22.965517 : Epoch  4, Batch   1205, Loss  0.881826, Average Loss  0.871293, Time  0.262856
2021-09-15 13:05:25.970516 : Epoch  4, Batch   1206, Loss  0.882597, Average Loss  0.871377, Time  0.263567
2021-09-15 13:05:29.023329 : Epoch  4, Batch   1207, Loss  0.841369, Average Loss  0.871058, Time  0.264744
2021-09-15 13:05:32.039113 : Epoch  4, Batch   1208, Loss  0.868316, Average Loss  0.871032, Time  0.263966
2021-09-15 13:05:35.006616 : Epoch  4, Batch   1209, Loss  0.889509, Average Loss  0.871105, Time  0.262416
2021-09-15 13:05:37.952123 : Epoch  4, Batch   1210, Loss  0.881240, Average Loss  0.871215, Time  0.263447
2021-09-15 13:05:40.945130 : Epoch  4, Batch   1211, Loss  0.875708, Average Loss  0.871166, Time  0.265469
2021-09-15 13:05:43.949818 : Epoch  4, Batch   1212, Loss  0.888293, Average Loss  0.871335, Time  0.263566
2021-09-15 13:05:46.987966 : Epoch  4, Batch   1213, Loss  0.878583, Average Loss  0.871452, Time  0.275543
2021-09-15 13:05:49.970298 : Epoch  4, Batch   1214, Loss  0.865227, Average Loss  0.871454, Time  0.263038
2021-09-15 13:05:52.943980 : Epoch  4, Batch   1215, Loss  0.875353, Average Loss  0.871398, Time  0.263640
2021-09-15 13:05:55.918861 : Epoch  4, Batch   1216, Loss  0.873155, Average Loss  0.871390, Time  0.264343
2021-09-15 13:05:58.897545 : Epoch  4, Batch   1217, Loss  0.887897, Average Loss  0.871395, Time  0.262953
2021-09-15 13:06:01.875100 : Epoch  4, Batch   1218, Loss  0.858835, Average Loss  0.871265, Time  0.263926
2021-09-15 13:06:04.889958 : Epoch  4, Batch   1219, Loss  0.860356, Average Loss  0.871238, Time  0.263965
2021-09-15 13:06:07.865895 : Epoch  4, Batch   1220, Loss  0.869039, Average Loss  0.871172, Time  0.263745
2021-09-15 13:06:10.880513 : Epoch  4, Batch   1221, Loss  0.872568, Average Loss  0.871169, Time  0.263551
2021-09-15 13:06:13.865217 : Epoch  4, Batch   1222, Loss  0.866664, Average Loss  0.871177, Time  0.263731
2021-09-15 13:06:16.857170 : Epoch  4, Batch   1223, Loss  0.892574, Average Loss  0.871288, Time  0.262864
2021-09-15 13:06:19.864729 : Epoch  4, Batch   1224, Loss  0.870477, Average Loss  0.871270, Time  0.262733
2021-09-15 13:06:22.862824 : Epoch  4, Batch   1225, Loss  0.871339, Average Loss  0.871224, Time  0.262702
2021-09-15 13:06:25.870311 : Epoch  4, Batch   1226, Loss  0.877136, Average Loss  0.871246, Time  0.263992
2021-09-15 13:06:28.848556 : Epoch  4, Batch   1227, Loss  0.873890, Average Loss  0.871337, Time  0.262599
2021-09-15 13:06:31.865033 : Epoch  4, Batch   1228, Loss  0.861447, Average Loss  0.871314, Time  0.268908
2021-09-15 13:06:34.857800 : Epoch  4, Batch   1229, Loss  0.863547, Average Loss  0.871268, Time  0.263495
2021-09-15 13:06:37.839487 : Epoch  4, Batch   1230, Loss  0.870985, Average Loss  0.871301, Time  0.264135
2021-09-15 13:06:40.815630 : Epoch  4, Batch   1231, Loss  0.872940, Average Loss  0.871368, Time  0.264384
2021-09-15 13:06:43.819860 : Epoch  4, Batch   1232, Loss  0.877675, Average Loss  0.871378, Time  0.262680
2021-09-15 13:11:22.329695 : CheckPoint: Validation Loss  0.00029957, Best Loss  0.00029236
2021-09-15 13:11:25.338477 : Epoch  4, Batch   1233, Loss  0.878841, Average Loss  0.871384, Time  0.265221
2021-09-15 13:11:28.336081 : Epoch  4, Batch   1234, Loss  0.876045, Average Loss  0.871386, Time  0.264688
2021-09-15 13:11:31.345007 : Epoch  4, Batch   1235, Loss  0.869716, Average Loss  0.871372, Time  0.263899
2021-09-15 13:11:34.330461 : Epoch  4, Batch   1236, Loss  0.878469, Average Loss  0.871339, Time  0.263219
2021-09-15 13:11:37.304117 : Epoch  4, Batch   1237, Loss  0.867505, Average Loss  0.871273, Time  0.262837
2021-09-15 13:11:40.282487 : Epoch  4, Batch   1238, Loss  0.866751, Average Loss  0.871246, Time  0.263512
2021-09-15 13:11:43.260948 : Epoch  4, Batch   1239, Loss  0.868632, Average Loss  0.871291, Time  0.263069
2021-09-15 13:11:46.208678 : Epoch  4, Batch   1240, Loss  0.852700, Average Loss  0.871248, Time  0.262348
2021-09-15 13:11:49.173196 : Epoch  4, Batch   1241, Loss  0.852649, Average Loss  0.871173, Time  0.263735
2021-09-15 13:11:52.158489 : Epoch  4, Batch   1242, Loss  0.875645, Average Loss  0.871166, Time  0.275671
2021-09-15 13:11:55.135312 : Epoch  4, Batch   1243, Loss  0.873456, Average Loss  0.871265, Time  0.263874
2021-09-15 13:11:58.112219 : Epoch  4, Batch   1244, Loss  0.859083, Average Loss  0.871159, Time  0.264108
2021-09-15 13:12:01.103408 : Epoch  4, Batch   1245, Loss  0.857914, Average Loss  0.871082, Time  0.263670
2021-09-15 13:12:04.076932 : Epoch  4, Batch   1246, Loss  0.890892, Average Loss  0.871073, Time  0.263299
2021-09-15 13:12:07.080138 : Epoch  4, Batch   1247, Loss  0.865956, Average Loss  0.871031, Time  0.263002
2021-09-15 13:12:10.065996 : Epoch  4, Batch   1248, Loss  0.850876, Average Loss  0.870876, Time  0.262946
2021-09-15 13:12:13.058562 : Epoch  4, Batch   1249, Loss  0.853648, Average Loss  0.870802, Time  0.264245
2021-09-15 13:12:18.835298 : Epoch  4, Batch   1250, Loss  0.879043, Average Loss  0.870750, Time  0.263196
2021-09-15 13:12:21.837997 : Epoch  4, Batch   1251, Loss  0.871331, Average Loss  0.870663, Time  0.263417
2021-09-15 13:12:24.825699 : Epoch  4, Batch   1252, Loss  0.880228, Average Loss  0.870621, Time  0.264185
2021-09-15 13:12:27.820666 : Epoch  4, Batch   1253, Loss  0.863168, Average Loss  0.870562, Time  0.264878
2021-09-15 13:12:30.831798 : Epoch  4, Batch   1254, Loss  0.861426, Average Loss  0.870454, Time  0.263980
2021-09-15 13:12:33.841414 : Epoch  4, Batch   1255, Loss  0.881352, Average Loss  0.870558, Time  0.263134
2021-09-15 13:12:36.827468 : Epoch  4, Batch   1256, Loss  0.854490, Average Loss  0.870423, Time  0.273380
2021-09-15 13:12:39.806174 : Epoch  4, Batch   1257, Loss  0.874800, Average Loss  0.870440, Time  0.264089
2021-09-15 13:12:42.785340 : Epoch  4, Batch   1258, Loss  0.857293, Average Loss  0.870344, Time  0.264161
2021-09-15 13:12:45.793690 : Epoch  4, Batch   1259, Loss  0.859554, Average Loss  0.870300, Time  0.263430
2021-09-15 13:12:48.763127 : Epoch  4, Batch   1260, Loss  0.870571, Average Loss  0.870388, Time  0.263064
2021-09-15 13:12:51.781151 : Epoch  4, Batch   1261, Loss  0.881814, Average Loss  0.870388, Time  0.262863
2021-09-15 13:12:54.761204 : Epoch  4, Batch   1262, Loss  0.862027, Average Loss  0.870368, Time  0.263914
2021-09-15 13:12:57.741759 : Epoch  4, Batch   1263, Loss  0.892978, Average Loss  0.870547, Time  0.263530
2021-09-15 13:13:00.743105 : Epoch  4, Batch   1264, Loss  0.860188, Average Loss  0.870595, Time  0.264607
2021-09-15 13:13:03.751954 : Epoch  4, Batch   1265, Loss  0.865978, Average Loss  0.870523, Time  0.262614
2021-09-15 13:13:06.764933 : Epoch  4, Batch   1266, Loss  0.866906, Average Loss  0.870495, Time  0.263804
2021-09-15 13:13:09.756673 : Epoch  4, Batch   1267, Loss  0.888290, Average Loss  0.870589, Time  0.264042
2021-09-15 13:13:12.742225 : Epoch  4, Batch   1268, Loss  0.854785, Average Loss  0.870625, Time  0.264293
2021-09-15 13:13:15.738744 : Epoch  4, Batch   1269, Loss  0.887784, Average Loss  0.870770, Time  0.265939
2021-09-15 13:13:18.718948 : Epoch  4, Batch   1270, Loss  0.848127, Average Loss  0.870592, Time  0.263393
2021-09-15 13:13:21.717190 : Epoch  4, Batch   1271, Loss  0.856710, Average Loss  0.870478, Time  0.275899
2021-09-15 13:13:24.691121 : Epoch  4, Batch   1272, Loss  0.855616, Average Loss  0.870434, Time  0.263988
2021-09-15 13:13:27.669387 : Epoch  4, Batch   1273, Loss  0.850901, Average Loss  0.870270, Time  0.263191
2021-09-15 13:13:30.650467 : Epoch  4, Batch   1274, Loss  0.863150, Average Loss  0.870307, Time  0.263932
2021-09-15 13:13:33.645781 : Epoch  4, Batch   1275, Loss  0.848244, Average Loss  0.870177, Time  0.263850
2021-09-15 13:13:36.651149 : Epoch  4, Batch   1276, Loss  0.885086, Average Loss  0.870280, Time  0.263383
2021-09-15 13:13:39.634363 : Epoch  4, Batch   1277, Loss  0.880921, Average Loss  0.870255, Time  0.263614
2021-09-15 13:13:42.606900 : Epoch  4, Batch   1278, Loss  0.872970, Average Loss  0.870268, Time  0.264027
2021-09-15 13:13:45.590434 : Epoch  4, Batch   1279, Loss  0.872697, Average Loss  0.870268, Time  0.263302
2021-09-15 13:13:48.549136 : Epoch  4, Batch   1280, Loss  0.888417, Average Loss  0.870328, Time  0.263642
2021-09-15 13:13:51.517049 : Epoch  4, Batch   1281, Loss  0.867067, Average Loss  0.870326, Time  0.263181
2021-09-15 13:13:54.487039 : Epoch  4, Batch   1282, Loss  0.871905, Average Loss  0.870343, Time  0.263806
2021-09-15 13:13:57.481949 : Epoch  4, Batch   1283, Loss  0.885021, Average Loss  0.870488, Time  0.263504
2021-09-15 13:14:00.457445 : Epoch  4, Batch   1284, Loss  0.889648, Average Loss  0.870573, Time  0.263374
2021-09-15 13:14:03.447276 : Epoch  4, Batch   1285, Loss  0.859008, Average Loss  0.870445, Time  0.263941
2021-09-15 13:14:06.429277 : Epoch  4, Batch   1286, Loss  0.867641, Average Loss  0.870280, Time  0.262815
2021-09-15 13:14:09.420318 : Epoch  4, Batch   1287, Loss  0.852803, Average Loss  0.870205, Time  0.271605
2021-09-15 13:14:12.389339 : Epoch  4, Batch   1288, Loss  0.850275, Average Loss  0.870116, Time  0.263788
2021-09-15 13:14:15.369773 : Epoch  4, Batch   1289, Loss  0.853401, Average Loss  0.870129, Time  0.263847
2021-09-15 13:14:18.371237 : Epoch  4, Batch   1290, Loss  0.887063, Average Loss  0.870172, Time  0.263027
2021-09-15 13:14:21.343311 : Epoch  4, Batch   1291, Loss  0.856332, Average Loss  0.870004, Time  0.262840
2021-09-15 13:14:24.304948 : Epoch  4, Batch   1292, Loss  0.854283, Average Loss  0.869941, Time  0.263704
2021-09-15 13:14:27.287040 : Epoch  4, Batch   1293, Loss  0.855753, Average Loss  0.869981, Time  0.262586
2021-09-15 13:14:30.246071 : Epoch  4, Batch   1294, Loss  0.878908, Average Loss  0.869993, Time  0.263909
2021-09-15 13:14:33.216277 : Epoch  4, Batch   1295, Loss  0.861681, Average Loss  0.869881, Time  0.263720
2021-09-15 13:14:36.185949 : Epoch  4, Batch   1296, Loss  0.855823, Average Loss  0.869730, Time  0.263396
2021-09-15 13:14:39.163224 : Epoch  4, Batch   1297, Loss  0.873769, Average Loss  0.869842, Time  0.263966
2021-09-15 13:14:42.129517 : Epoch  4, Batch   1298, Loss  0.868056, Average Loss  0.869794, Time  0.263551
2021-09-15 13:14:45.144228 : Epoch  4, Batch   1299, Loss  0.860882, Average Loss  0.869740, Time  0.262846
2021-09-15 13:14:48.143690 : Epoch  4, Batch   1300, Loss  0.858957, Average Loss  0.869784, Time  0.264127
2021-09-15 13:14:51.158577 : Epoch  4, Batch   1301, Loss  0.852768, Average Loss  0.869717, Time  0.263986
2021-09-15 13:14:54.141949 : Epoch  4, Batch   1302, Loss  0.876669, Average Loss  0.869729, Time  0.275534
2021-09-15 13:14:57.129480 : Epoch  4, Batch   1303, Loss  0.891419, Average Loss  0.869895, Time  0.264898
2021-09-15 13:15:00.110463 : Epoch  4, Batch   1304, Loss  0.866050, Average Loss  0.869880, Time  0.263700
2021-09-15 13:15:03.099521 : Epoch  4, Batch   1305, Loss  0.873297, Average Loss  0.869914, Time  0.263198
2021-09-15 13:15:06.085671 : Epoch  4, Batch   1306, Loss  0.886282, Average Loss  0.869999, Time  0.265103
2021-09-15 13:15:09.095404 : Epoch  4, Batch   1307, Loss  0.856174, Average Loss  0.869862, Time  0.263677
2021-09-15 13:15:12.089053 : Epoch  4, Batch   1308, Loss  0.887388, Average Loss  0.869895, Time  0.263412
2021-09-15 13:15:15.093778 : Epoch  4, Batch   1309, Loss  0.870934, Average Loss  0.869818, Time  0.263605
2021-09-15 13:15:18.070608 : Epoch  4, Batch   1310, Loss  0.846548, Average Loss  0.869727, Time  0.265337
2021-09-15 13:15:21.064516 : Epoch  4, Batch   1311, Loss  0.850002, Average Loss  0.869605, Time  0.264256
2021-09-15 13:15:24.074401 : Epoch  4, Batch   1312, Loss  0.880210, Average Loss  0.869621, Time  0.263542
2021-09-15 13:15:27.059843 : Epoch  4, Batch   1313, Loss  0.873290, Average Loss  0.869601, Time  0.263830
2021-09-15 13:15:30.061598 : Epoch  4, Batch   1314, Loss  0.870475, Average Loss  0.869575, Time  0.264460
2021-09-15 13:15:33.031427 : Epoch  4, Batch   1315, Loss  0.857786, Average Loss  0.869556, Time  0.263257
2021-09-15 13:15:36.046128 : Epoch  4, Batch   1316, Loss  0.878632, Average Loss  0.869587, Time  0.263907
2021-09-15 13:15:39.023006 : Epoch  4, Batch   1317, Loss  0.855831, Average Loss  0.869571, Time  0.270023
2021-09-15 13:15:42.018489 : Epoch  4, Batch   1318, Loss  0.864628, Average Loss  0.869499, Time  0.263536
2021-09-15 13:15:45.003785 : Epoch  4, Batch   1319, Loss  0.871154, Average Loss  0.869546, Time  0.264129
2021-09-15 13:15:47.985912 : Epoch  4, Batch   1320, Loss  0.871259, Average Loss  0.869608, Time  0.264774
2021-09-15 13:15:50.972355 : Epoch  4, Batch   1321, Loss  0.876513, Average Loss  0.869659, Time  0.263869
2021-09-15 13:15:53.953959 : Epoch  4, Batch   1322, Loss  0.886838, Average Loss  0.869776, Time  0.264131
2021-09-15 13:15:56.944867 : Epoch  4, Batch   1323, Loss  0.875325, Average Loss  0.869766, Time  0.263733
2021-09-15 13:15:59.964094 : Epoch  4, Batch   1324, Loss  0.852192, Average Loss  0.869715, Time  0.263285
2021-09-15 13:16:02.940618 : Epoch  4, Batch   1325, Loss  0.886922, Average Loss  0.869748, Time  0.263339
2021-09-15 13:16:05.920398 : Epoch  4, Batch   1326, Loss  0.853759, Average Loss  0.869668, Time  0.263808
2021-09-15 13:16:08.919000 : Epoch  4, Batch   1327, Loss  0.870928, Average Loss  0.869659, Time  0.264104
2021-09-15 13:16:11.904969 : Epoch  4, Batch   1328, Loss  0.869120, Average Loss  0.869659, Time  0.263438
2021-09-15 13:16:14.909007 : Epoch  4, Batch   1329, Loss  0.888149, Average Loss  0.869760, Time  0.263498
2021-09-15 13:16:17.911977 : Epoch  4, Batch   1330, Loss  0.853096, Average Loss  0.869679, Time  0.263564
2021-09-15 13:16:20.927970 : Epoch  4, Batch   1331, Loss  0.857005, Average Loss  0.869608, Time  0.264489
2021-09-15 13:16:23.938894 : Epoch  4, Batch   1332, Loss  0.848034, Average Loss  0.869485, Time  0.274289
2021-09-15 13:21:00.667072 : CheckPoint: Validation Loss  0.00030481, Best Loss  0.00029236
2021-09-15 13:21:03.664559 : Epoch  4, Batch   1333, Loss  0.884517, Average Loss  0.869573, Time  0.274979
2021-09-15 13:21:06.663206 : Epoch  4, Batch   1334, Loss  0.846466, Average Loss  0.869444, Time  0.263829
2021-09-15 13:21:09.638760 : Epoch  4, Batch   1335, Loss  0.865899, Average Loss  0.869490, Time  0.263783
2021-09-15 13:21:12.599422 : Epoch  4, Batch   1336, Loss  0.876144, Average Loss  0.869516, Time  0.265421
2021-09-15 13:21:15.604884 : Epoch  4, Batch   1337, Loss  0.859465, Average Loss  0.869506, Time  0.264397
2021-09-15 13:21:18.586124 : Epoch  4, Batch   1338, Loss  0.850215, Average Loss  0.869365, Time  0.263124
2021-09-15 13:21:21.567448 : Epoch  4, Batch   1339, Loss  0.867926, Average Loss  0.869442, Time  0.263377
2021-09-15 13:21:24.561863 : Epoch  4, Batch   1340, Loss  0.873229, Average Loss  0.869458, Time  0.263519
2021-09-15 13:21:27.522215 : Epoch  4, Batch   1341, Loss  0.862945, Average Loss  0.869379, Time  0.263213
2021-09-15 13:21:30.496169 : Epoch  4, Batch   1342, Loss  0.872843, Average Loss  0.869373, Time  0.263936
2021-09-15 13:21:33.503279 : Epoch  4, Batch   1343, Loss  0.866216, Average Loss  0.869368, Time  0.263690
2021-09-15 13:21:36.502618 : Epoch  4, Batch   1344, Loss  0.880056, Average Loss  0.869482, Time  0.263806
2021-09-15 13:21:39.500724 : Epoch  4, Batch   1345, Loss  0.876251, Average Loss  0.869533, Time  0.263998
2021-09-15 13:21:42.504547 : Epoch  4, Batch   1346, Loss  0.879579, Average Loss  0.869460, Time  0.264135
2021-09-15 13:21:45.485931 : Epoch  4, Batch   1347, Loss  0.851345, Average Loss  0.869286, Time  0.263097
2021-09-15 13:21:48.471281 : Epoch  4, Batch   1348, Loss  0.863928, Average Loss  0.869133, Time  0.275474
2021-09-15 13:21:51.447083 : Epoch  4, Batch   1349, Loss  0.875478, Average Loss  0.869148, Time  0.262998
2021-09-15 13:21:54.439119 : Epoch  4, Batch   1350, Loss  0.885241, Average Loss  0.869256, Time  0.263979
2021-09-15 13:21:57.459405 : Epoch  4, Batch   1351, Loss  0.873523, Average Loss  0.869294, Time  0.263978
2021-09-15 13:22:00.441792 : Epoch  4, Batch   1352, Loss  0.857536, Average Loss  0.869271, Time  0.263251
2021-09-15 13:22:03.407373 : Epoch  4, Batch   1353, Loss  0.876042, Average Loss  0.869349, Time  0.263176
2021-09-15 13:22:06.389396 : Epoch  4, Batch   1354, Loss  0.882772, Average Loss  0.869438, Time  0.263326
2021-09-15 13:22:09.352716 : Epoch  4, Batch   1355, Loss  0.869976, Average Loss  0.869413, Time  0.263674
2021-09-15 13:22:12.342346 : Epoch  4, Batch   1356, Loss  0.880206, Average Loss  0.869447, Time  0.264386
2021-09-15 13:22:15.336614 : Epoch  4, Batch   1357, Loss  0.875662, Average Loss  0.869442, Time  0.264569
2021-09-15 13:22:18.317505 : Epoch  4, Batch   1358, Loss  0.827476, Average Loss  0.869231, Time  0.264147
2021-09-15 13:22:21.303187 : Epoch  4, Batch   1359, Loss  0.868059, Average Loss  0.869276, Time  0.263355
2021-09-15 13:22:24.246032 : Epoch  4, Batch   1360, Loss  0.860834, Average Loss  0.869283, Time  0.262760
2021-09-15 13:22:27.218614 : Epoch  4, Batch   1361, Loss  0.852146, Average Loss  0.869199, Time  0.263059
2021-09-15 13:22:30.188360 : Epoch  4, Batch   1362, Loss  0.877645, Average Loss  0.869145, Time  0.263504
2021-09-15 13:22:33.183357 : Epoch  4, Batch   1363, Loss  0.869483, Average Loss  0.869117, Time  0.276662
2021-09-15 13:22:36.177828 : Epoch  4, Batch   1364, Loss  0.867577, Average Loss  0.869186, Time  0.265043
2021-09-15 13:22:39.185044 : Epoch  4, Batch   1365, Loss  0.883742, Average Loss  0.869210, Time  0.263848
2021-09-15 13:22:42.171062 : Epoch  4, Batch   1366, Loss  0.862848, Average Loss  0.869152, Time  0.263163
2021-09-15 13:22:45.149420 : Epoch  4, Batch   1367, Loss  0.875436, Average Loss  0.869160, Time  0.263494
2021-09-15 13:22:48.119265 : Epoch  4, Batch   1368, Loss  0.871213, Average Loss  0.869050, Time  0.263180
2021-09-15 13:22:51.135278 : Epoch  4, Batch   1369, Loss  0.840774, Average Loss  0.868975, Time  0.263234
2021-09-15 13:22:54.144777 : Epoch  4, Batch   1370, Loss  0.870738, Average Loss  0.868990, Time  0.264565
2021-09-15 13:22:57.159763 : Epoch  4, Batch   1371, Loss  0.873741, Average Loss  0.869106, Time  0.263450
2021-09-15 13:23:00.134253 : Epoch  4, Batch   1372, Loss  0.891109, Average Loss  0.869180, Time  0.263032
2021-09-15 13:23:03.140326 : Epoch  4, Batch   1373, Loss  0.858212, Average Loss  0.869097, Time  0.263093
2021-09-15 13:23:06.121554 : Epoch  4, Batch   1374, Loss  0.856487, Average Loss  0.869131, Time  0.262997
2021-09-15 13:23:09.096239 : Epoch  4, Batch   1375, Loss  0.864903, Average Loss  0.869056, Time  0.263742
2021-09-15 13:23:12.087413 : Epoch  4, Batch   1376, Loss  0.891201, Average Loss  0.869152, Time  0.263643
2021-09-15 13:23:15.065545 : Epoch  4, Batch   1377, Loss  0.849823, Average Loss  0.868931, Time  0.263827
2021-09-15 13:23:18.069168 : Epoch  4, Batch   1378, Loss  0.857969, Average Loss  0.868840, Time  0.274674
2021-09-15 13:23:21.086360 : Epoch  4, Batch   1379, Loss  0.893395, Average Loss  0.868911, Time  0.264442
2021-09-15 13:23:24.081690 : Epoch  4, Batch   1380, Loss  0.867138, Average Loss  0.868929, Time  0.264013
2021-09-15 13:23:27.060213 : Epoch  4, Batch   1381, Loss  0.869562, Average Loss  0.868922, Time  0.263594
2021-09-15 13:23:30.078906 : Epoch  4, Batch   1382, Loss  0.857973, Average Loss  0.868792, Time  0.263435
2021-09-15 13:23:33.090480 : Epoch  4, Batch   1383, Loss  0.891566, Average Loss  0.868837, Time  0.262760
2021-09-15 13:23:36.086919 : Epoch  4, Batch   1384, Loss  0.871750, Average Loss  0.868890, Time  0.264390
2021-09-15 13:23:39.050621 : Epoch  4, Batch   1385, Loss  0.890467, Average Loss  0.869044, Time  0.262247
2021-09-15 13:23:41.991580 : Epoch  4, Batch   1386, Loss  0.866477, Average Loss  0.868989, Time  0.262359
2021-09-15 13:23:44.980257 : Epoch  4, Batch   1387, Loss  0.881067, Average Loss  0.869040, Time  0.263062
2021-09-15 13:23:47.972546 : Epoch  4, Batch   1388, Loss  0.871813, Average Loss  0.869086, Time  0.263027
2021-09-15 13:23:50.971838 : Epoch  4, Batch   1389, Loss  0.879162, Average Loss  0.869109, Time  0.263514
2021-09-15 13:23:53.944581 : Epoch  4, Batch   1390, Loss  0.878118, Average Loss  0.869125, Time  0.263928
2021-09-15 13:23:56.930472 : Epoch  4, Batch   1391, Loss  0.880201, Average Loss  0.869200, Time  0.263836
2021-09-15 13:23:59.922130 : Epoch  4, Batch   1392, Loss  0.871572, Average Loss  0.869195, Time  0.264110
2021-09-15 13:24:02.886534 : Epoch  4, Batch   1393, Loss  0.862959, Average Loss  0.869172, Time  0.271069
2021-09-15 13:24:05.869638 : Epoch  4, Batch   1394, Loss  0.868352, Average Loss  0.869170, Time  0.263397
2021-09-15 13:24:08.840729 : Epoch  4, Batch   1395, Loss  0.879418, Average Loss  0.869250, Time  0.263898
2021-09-15 13:24:11.799647 : Epoch  4, Batch   1396, Loss  0.864203, Average Loss  0.869114, Time  0.264644
2021-09-15 13:24:14.819489 : Epoch  4, Batch   1397, Loss  0.863585, Average Loss  0.869116, Time  0.263446
2021-09-15 13:24:17.811515 : Epoch  4, Batch   1398, Loss  0.856159, Average Loss  0.869244, Time  0.263568
2021-09-15 13:24:20.787770 : Epoch  4, Batch   1399, Loss  0.878274, Average Loss  0.869288, Time  0.262480
2021-09-15 13:24:23.774111 : Epoch  4, Batch   1400, Loss  0.851386, Average Loss  0.869179, Time  0.263878
2021-09-15 13:24:26.788455 : Epoch  4, Batch   1401, Loss  0.879090, Average Loss  0.869223, Time  0.262990
2021-09-15 13:24:29.790581 : Epoch  4, Batch   1402, Loss  0.884637, Average Loss  0.869287, Time  0.263254
2021-09-15 13:24:32.786007 : Epoch  4, Batch   1403, Loss  0.894714, Average Loss  0.869421, Time  0.263735
2021-09-15 13:24:35.767312 : Epoch  4, Batch   1404, Loss  0.862491, Average Loss  0.869358, Time  0.264039
2021-09-15 13:24:38.742608 : Epoch  4, Batch   1405, Loss  0.860560, Average Loss  0.869251, Time  0.263462
2021-09-15 13:24:41.738226 : Epoch  4, Batch   1406, Loss  0.865262, Average Loss  0.869165, Time  0.263783
2021-09-15 13:24:44.751578 : Epoch  4, Batch   1407, Loss  0.885006, Average Loss  0.869383, Time  0.264171
2021-09-15 13:24:47.777763 : Epoch  4, Batch   1408, Loss  0.854987, Average Loss  0.869316, Time  0.279437
2021-09-15 13:24:50.771215 : Epoch  4, Batch   1409, Loss  0.860395, Average Loss  0.869171, Time  0.264039
2021-09-15 13:24:53.784730 : Epoch  4, Batch   1410, Loss  0.887902, Average Loss  0.869204, Time  0.263279
2021-09-15 13:24:56.746314 : Epoch  4, Batch   1411, Loss  0.869859, Average Loss  0.869175, Time  0.263096
2021-09-15 13:24:59.722628 : Epoch  4, Batch   1412, Loss  0.874968, Average Loss  0.869108, Time  0.263355
2021-09-15 13:25:02.706795 : Epoch  4, Batch   1413, Loss  0.875718, Average Loss  0.869094, Time  0.263616
2021-09-15 13:25:05.707762 : Epoch  4, Batch   1414, Loss  0.865526, Average Loss  0.869095, Time  0.263584
2021-09-15 13:25:08.681016 : Epoch  4, Batch   1415, Loss  0.856465, Average Loss  0.869001, Time  0.263432
2021-09-15 13:25:11.643417 : Epoch  4, Batch   1416, Loss  0.852432, Average Loss  0.868897, Time  0.263396
2021-09-15 13:25:14.621748 : Epoch  4, Batch   1417, Loss  0.882802, Average Loss  0.868872, Time  0.263786
2021-09-15 13:25:17.588230 : Epoch  4, Batch   1418, Loss  0.890925, Average Loss  0.869032, Time  0.264733
2021-09-15 13:25:20.602170 : Epoch  4, Batch   1419, Loss  0.872878, Average Loss  0.869095, Time  0.265229
2021-09-15 13:25:23.606795 : Epoch  4, Batch   1420, Loss  0.881914, Average Loss  0.869159, Time  0.264050
2021-09-15 13:25:26.579257 : Epoch  4, Batch   1421, Loss  0.857702, Average Loss  0.869085, Time  0.263153
2021-09-15 13:25:29.547345 : Epoch  4, Batch   1422, Loss  0.868338, Average Loss  0.869093, Time  0.263868
2021-09-15 13:25:32.510895 : Epoch  4, Batch   1423, Loss  0.878700, Average Loss  0.869024, Time  0.264060
2021-09-15 13:25:35.525355 : Epoch  4, Batch   1424, Loss  0.862772, Average Loss  0.868985, Time  0.277196
2021-09-15 13:25:38.500804 : Epoch  4, Batch   1425, Loss  0.868062, Average Loss  0.868969, Time  0.264591
2021-09-15 13:25:41.465184 : Epoch  4, Batch   1426, Loss  0.852906, Average Loss  0.868848, Time  0.264256
2021-09-15 13:25:44.458852 : Epoch  4, Batch   1427, Loss  0.878787, Average Loss  0.868872, Time  0.264084
2021-09-15 13:25:47.451886 : Epoch  4, Batch   1428, Loss  0.876490, Average Loss  0.868947, Time  0.262892
2021-09-15 13:25:50.451342 : Epoch  4, Batch   1429, Loss  0.855970, Average Loss  0.868910, Time  0.263349
2021-09-15 13:25:53.458155 : Epoch  4, Batch   1430, Loss  0.863307, Average Loss  0.868871, Time  0.263369
2021-09-15 13:25:56.456305 : Epoch  4, Batch   1431, Loss  0.856001, Average Loss  0.868786, Time  0.263804
2021-09-15 13:26:05.177557 : Epoch  4, Batch   1432, Loss  0.853499, Average Loss  0.868666, Time  0.264049
2021-09-15 13:30:42.743321 : CheckPoint: Validation Loss  0.00030840, Best Loss  0.00029236
2021-09-15 13:30:45.745240 : Epoch  4, Batch   1433, Loss  0.853918, Average Loss  0.868541, Time  0.264785
2021-09-15 13:30:48.687746 : Epoch  4, Batch   1434, Loss  0.852425, Average Loss  0.868423, Time  0.261878
2021-09-15 13:30:51.617410 : Epoch  4, Batch   1435, Loss  0.865635, Average Loss  0.868402, Time  0.262700
2021-09-15 13:30:54.576193 : Epoch  4, Batch   1436, Loss  0.880301, Average Loss  0.868412, Time  0.263647
2021-09-15 13:30:57.544814 : Epoch  4, Batch   1437, Loss  0.859490, Average Loss  0.868372, Time  0.262614
2021-09-15 13:31:00.514983 : Epoch  4, Batch   1438, Loss  0.871084, Average Loss  0.868393, Time  0.272150
2021-09-15 13:31:03.495961 : Epoch  4, Batch   1439, Loss  0.839444, Average Loss  0.868247, Time  0.264380
2021-09-15 13:31:06.469026 : Epoch  4, Batch   1440, Loss  0.874649, Average Loss  0.868357, Time  0.263106
2021-09-15 13:31:09.442282 : Epoch  4, Batch   1441, Loss  0.883300, Average Loss  0.868510, Time  0.264445
2021-09-15 13:31:12.441459 : Epoch  4, Batch   1442, Loss  0.865497, Average Loss  0.868460, Time  0.262053
2021-09-15 13:31:15.402503 : Epoch  4, Batch   1443, Loss  0.854046, Average Loss  0.868362, Time  0.263363
2021-09-15 13:31:18.395949 : Epoch  4, Batch   1444, Loss  0.855700, Average Loss  0.868346, Time  0.264232
2021-09-15 13:31:21.407107 : Epoch  4, Batch   1445, Loss  0.859194, Average Loss  0.868352, Time  0.263681
2021-09-15 13:31:24.380663 : Epoch  4, Batch   1446, Loss  0.869974, Average Loss  0.868247, Time  0.264093
2021-09-15 13:31:27.347119 : Epoch  4, Batch   1447, Loss  0.857935, Average Loss  0.868207, Time  0.263563
2021-09-15 13:31:30.341558 : Epoch  4, Batch   1448, Loss  0.875201, Average Loss  0.868329, Time  0.263470
2021-09-15 13:31:33.321218 : Epoch  4, Batch   1449, Loss  0.858383, Average Loss  0.868353, Time  0.262941
2021-09-15 13:31:36.295014 : Epoch  4, Batch   1450, Loss  0.866953, Average Loss  0.868292, Time  0.263115
2021-09-15 13:31:39.290927 : Epoch  4, Batch   1451, Loss  0.862648, Average Loss  0.868249, Time  0.262867
2021-09-15 13:31:42.261887 : Epoch  4, Batch   1452, Loss  0.882889, Average Loss  0.868262, Time  0.262970
2021-09-15 13:31:45.243915 : Epoch  4, Batch   1453, Loss  0.845573, Average Loss  0.868174, Time  0.275017
2021-09-15 13:31:48.213021 : Epoch  4, Batch   1454, Loss  0.860036, Average Loss  0.868167, Time  0.262817
2021-09-15 13:31:51.197541 : Epoch  4, Batch   1455, Loss  0.876671, Average Loss  0.868144, Time  0.264172
2021-09-15 13:31:54.194432 : Epoch  4, Batch   1456, Loss  0.887427, Average Loss  0.868308, Time  0.263982
2021-09-15 13:31:57.195162 : Epoch  4, Batch   1457, Loss  0.866303, Average Loss  0.868266, Time  0.263670
2021-09-15 13:32:00.203816 : Epoch  4, Batch   1458, Loss  0.873267, Average Loss  0.868346, Time  0.263304
2021-09-15 13:32:03.212231 : Epoch  4, Batch   1459, Loss  0.877703, Average Loss  0.868436, Time  0.263621
2021-09-15 13:32:06.221313 : Epoch  4, Batch   1460, Loss  0.861013, Average Loss  0.868389, Time  0.264184
2021-09-15 13:32:09.235333 : Epoch  4, Batch   1461, Loss  0.880107, Average Loss  0.868380, Time  0.263651
2021-09-15 13:32:12.225493 : Epoch  4, Batch   1462, Loss  0.865007, Average Loss  0.868395, Time  0.263346
2021-09-15 13:32:15.214055 : Epoch  4, Batch   1463, Loss  0.869877, Average Loss  0.868280, Time  0.263770
2021-09-15 13:32:18.199837 : Epoch  4, Batch   1464, Loss  0.867543, Average Loss  0.868316, Time  0.262705
2021-09-15 13:32:21.175236 : Epoch  4, Batch   1465, Loss  0.878210, Average Loss  0.868377, Time  0.263978
2021-09-15 13:32:24.173679 : Epoch  4, Batch   1466, Loss  0.866718, Average Loss  0.868377, Time  0.264183
2021-09-15 13:32:27.190711 : Epoch  4, Batch   1467, Loss  0.886075, Average Loss  0.868365, Time  0.263853
2021-09-15 13:32:30.183894 : Epoch  4, Batch   1468, Loss  0.868160, Average Loss  0.868432, Time  0.275931
2021-09-15 13:32:33.191799 : Epoch  4, Batch   1469, Loss  0.871273, Average Loss  0.868350, Time  0.266069
2021-09-15 13:32:36.193364 : Epoch  4, Batch   1470, Loss  0.850626, Average Loss  0.868362, Time  0.264237
2021-09-15 13:32:39.189981 : Epoch  4, Batch   1471, Loss  0.890585, Average Loss  0.868532, Time  0.263294
2021-09-15 13:32:42.164468 : Epoch  4, Batch   1472, Loss  0.877856, Average Loss  0.868643, Time  0.263888
2021-09-15 13:32:45.145252 : Epoch  4, Batch   1473, Loss  0.850691, Average Loss  0.868642, Time  0.263550
2021-09-15 13:32:48.151411 : Epoch  4, Batch   1474, Loss  0.874398, Average Loss  0.868698, Time  0.263782
2021-09-15 13:32:51.165360 : Epoch  4, Batch   1475, Loss  0.866010, Average Loss  0.868787, Time  0.263058
2021-09-15 13:32:54.141313 : Epoch  4, Batch   1476, Loss  0.840466, Average Loss  0.868564, Time  0.263312
2021-09-15 13:32:57.138541 : Epoch  4, Batch   1477, Loss  0.843191, Average Loss  0.868375, Time  0.263893
2021-09-15 13:33:00.125863 : Epoch  4, Batch   1478, Loss  0.857417, Average Loss  0.868297, Time  0.263536
2021-09-15 13:33:03.102662 : Epoch  4, Batch   1479, Loss  0.867712, Average Loss  0.868272, Time  0.263496
2021-09-15 13:33:06.078511 : Epoch  4, Batch   1480, Loss  0.855519, Average Loss  0.868108, Time  0.263401
2021-09-15 13:33:09.050204 : Epoch  4, Batch   1481, Loss  0.843395, Average Loss  0.867990, Time  0.263269
2021-09-15 13:33:12.021575 : Epoch  4, Batch   1482, Loss  0.879700, Average Loss  0.868029, Time  0.263401
2021-09-15 13:33:15.031907 : Epoch  4, Batch   1483, Loss  0.874363, Average Loss  0.867975, Time  0.273596
2021-09-15 13:33:18.027821 : Epoch  4, Batch   1484, Loss  0.872038, Average Loss  0.867887, Time  0.262746
2021-09-15 13:33:21.001697 : Epoch  4, Batch   1485, Loss  0.867312, Average Loss  0.867929, Time  0.263326
2021-09-15 13:33:23.999207 : Epoch  4, Batch   1486, Loss  0.860133, Average Loss  0.867891, Time  0.263186
2021-09-15 13:33:26.978716 : Epoch  4, Batch   1487, Loss  0.872682, Average Loss  0.867991, Time  0.263869
2021-09-15 13:33:29.982800 : Epoch  4, Batch   1488, Loss  0.887022, Average Loss  0.868174, Time  0.264212
2021-09-15 13:33:32.966058 : Epoch  4, Batch   1489, Loss  0.861996, Average Loss  0.868217, Time  0.263091
2021-09-15 13:33:35.942033 : Epoch  4, Batch   1490, Loss  0.868602, Average Loss  0.868125, Time  0.262998
2021-09-15 13:33:38.925117 : Epoch  4, Batch   1491, Loss  0.867189, Average Loss  0.868179, Time  0.263454
2021-09-15 13:33:41.908289 : Epoch  4, Batch   1492, Loss  0.835274, Average Loss  0.868084, Time  0.263643
2021-09-15 13:33:44.908251 : Epoch  4, Batch   1493, Loss  0.886236, Average Loss  0.868237, Time  0.264078
2021-09-15 13:33:47.905472 : Epoch  4, Batch   1494, Loss  0.843122, Average Loss  0.868058, Time  0.264245
2021-09-15 13:33:50.923088 : Epoch  4, Batch   1495, Loss  0.887583, Average Loss  0.868187, Time  0.265466
2021-09-15 13:33:53.949601 : Epoch  4, Batch   1496, Loss  0.884411, Average Loss  0.868330, Time  0.265036
2021-09-15 13:33:56.965508 : Epoch  4, Batch   1497, Loss  0.873752, Average Loss  0.868330, Time  0.263607
2021-09-15 13:33:59.955772 : Epoch  4, Batch   1498, Loss  0.872834, Average Loss  0.868354, Time  0.275777
2021-09-15 13:34:02.963931 : Epoch  4, Batch   1499, Loss  0.884748, Average Loss  0.868473, Time  0.264437
2021-09-15 13:34:05.950908 : Epoch  4, Batch   1500, Loss  0.870848, Average Loss  0.868533, Time  0.264456
2021-09-15 13:34:08.960416 : Epoch  4, Batch   1501, Loss  0.886255, Average Loss  0.868700, Time  0.264828
2021-09-15 13:34:11.961709 : Epoch  4, Batch   1502, Loss  0.867457, Average Loss  0.868654, Time  0.263126
2021-09-15 13:34:14.928269 : Epoch  4, Batch   1503, Loss  0.870142, Average Loss  0.868548, Time  0.263809
2021-09-15 13:34:17.926932 : Epoch  4, Batch   1504, Loss  0.877454, Average Loss  0.868605, Time  0.263153
2021-09-15 13:34:20.926467 : Epoch  4, Batch   1505, Loss  0.879140, Average Loss  0.868634, Time  0.264352
2021-09-15 13:34:23.920075 : Epoch  4, Batch   1506, Loss  0.869652, Average Loss  0.868551, Time  0.263532
2021-09-15 13:34:26.888987 : Epoch  4, Batch   1507, Loss  0.841470, Average Loss  0.868477, Time  0.262996
2021-09-15 13:34:29.866056 : Epoch  4, Batch   1508, Loss  0.859821, Average Loss  0.868340, Time  0.263252
2021-09-15 13:34:32.860409 : Epoch  4, Batch   1509, Loss  0.889376, Average Loss  0.868432, Time  0.263247
2021-09-15 13:34:35.845422 : Epoch  4, Batch   1510, Loss  0.864830, Average Loss  0.868523, Time  0.263508
2021-09-15 13:34:38.836891 : Epoch  4, Batch   1511, Loss  0.855968, Average Loss  0.868553, Time  0.263987
2021-09-15 13:34:41.834160 : Epoch  4, Batch   1512, Loss  0.858501, Average Loss  0.868444, Time  0.263998
2021-09-15 13:34:44.855046 : Epoch  4, Batch   1513, Loss  0.869379, Average Loss  0.868425, Time  0.277442
2021-09-15 13:34:47.836522 : Epoch  4, Batch   1514, Loss  0.851102, Average Loss  0.868328, Time  0.263606
2021-09-15 13:34:50.809231 : Epoch  4, Batch   1515, Loss  0.866208, Average Loss  0.868370, Time  0.263388
2021-09-15 13:34:53.786638 : Epoch  4, Batch   1516, Loss  0.866999, Average Loss  0.868312, Time  0.264003
2021-09-15 13:34:56.803182 : Epoch  4, Batch   1517, Loss  0.849474, Average Loss  0.868280, Time  0.263660
2021-09-15 13:34:59.809220 : Epoch  4, Batch   1518, Loss  0.865951, Average Loss  0.868287, Time  0.264550
2021-09-15 13:35:02.798103 : Epoch  4, Batch   1519, Loss  0.864456, Average Loss  0.868253, Time  0.263228
2021-09-15 13:35:05.807009 : Epoch  4, Batch   1520, Loss  0.873798, Average Loss  0.868266, Time  0.263221
2021-09-15 13:35:08.806672 : Epoch  4, Batch   1521, Loss  0.886031, Average Loss  0.868314, Time  0.263530
2021-09-15 13:35:11.776302 : Epoch  4, Batch   1522, Loss  0.868304, Average Loss  0.868221, Time  0.264249
2021-09-15 13:35:14.752219 : Epoch  4, Batch   1523, Loss  0.880063, Average Loss  0.868245, Time  0.263941
2021-09-15 13:35:17.771926 : Epoch  4, Batch   1524, Loss  0.857152, Average Loss  0.868269, Time  0.264445
2021-09-15 13:35:20.766097 : Epoch  4, Batch   1525, Loss  0.868129, Average Loss  0.868175, Time  0.263115
2021-09-15 13:35:23.775402 : Epoch  4, Batch   1526, Loss  0.864910, Average Loss  0.868231, Time  0.264099
2021-09-15 13:35:26.782134 : Epoch  4, Batch   1527, Loss  0.855801, Average Loss  0.868156, Time  0.263654
2021-09-15 13:35:29.772570 : Epoch  4, Batch   1528, Loss  0.870507, Average Loss  0.868162, Time  0.270924
2021-09-15 13:35:32.778058 : Epoch  4, Batch   1529, Loss  0.881915, Average Loss  0.868131, Time  0.264131
2021-09-15 13:35:35.757459 : Epoch  4, Batch   1530, Loss  0.893673, Average Loss  0.868334, Time  0.263214
2021-09-15 13:35:38.731121 : Epoch  4, Batch   1531, Loss  0.869692, Average Loss  0.868398, Time  0.263986
2021-09-15 13:35:41.665444 : Epoch  4, Batch   1532, Loss  0.865966, Average Loss  0.868487, Time  0.263834
2021-09-15 13:40:19.502028 : CheckPoint: Validation Loss  0.00029878, Best Loss  0.00029236
2021-09-15 13:40:22.506493 : Epoch  4, Batch   1533, Loss  0.888174, Average Loss  0.868506, Time  0.264313
2021-09-15 13:40:25.485957 : Epoch  4, Batch   1534, Loss  0.874716, Average Loss  0.868647, Time  0.263108
2021-09-15 13:40:28.463397 : Epoch  4, Batch   1535, Loss  0.869359, Average Loss  0.868664, Time  0.263794
2021-09-15 13:40:31.444700 : Epoch  4, Batch   1536, Loss  0.872118, Average Loss  0.868644, Time  0.263807
2021-09-15 13:40:34.423081 : Epoch  4, Batch   1537, Loss  0.850902, Average Loss  0.868601, Time  0.264028
2021-09-15 13:40:37.423019 : Epoch  4, Batch   1538, Loss  0.870073, Average Loss  0.868700, Time  0.264789
2021-09-15 13:40:40.347561 : Epoch  4, Batch   1539, Loss  0.888775, Average Loss  0.868805, Time  0.262321
2021-09-15 13:40:43.290524 : Epoch  4, Batch   1540, Loss  0.879798, Average Loss  0.868838, Time  0.263675
2021-09-15 13:40:46.270634 : Epoch  4, Batch   1541, Loss  0.866123, Average Loss  0.868853, Time  0.262873
2021-09-15 13:40:49.264839 : Epoch  4, Batch   1542, Loss  0.876378, Average Loss  0.868871, Time  0.272788
2021-09-15 13:40:52.247534 : Epoch  4, Batch   1543, Loss  0.871523, Average Loss  0.868898, Time  0.264600
2021-09-15 13:40:55.257516 : Epoch  4, Batch   1544, Loss  0.868834, Average Loss  0.868842, Time  0.264365
2021-09-15 13:40:58.242113 : Epoch  4, Batch   1545, Loss  0.858632, Average Loss  0.868753, Time  0.263156
2021-09-15 13:41:01.226053 : Epoch  4, Batch   1546, Loss  0.865372, Average Loss  0.868682, Time  0.263925
2021-09-15 13:41:04.243760 : Epoch  4, Batch   1547, Loss  0.879303, Average Loss  0.868822, Time  0.264882
2021-09-15 13:41:07.228270 : Epoch  4, Batch   1548, Loss  0.890268, Average Loss  0.868954, Time  0.263286
2021-09-15 13:41:10.232894 : Epoch  4, Batch   1549, Loss  0.871377, Average Loss  0.868933, Time  0.263401
2021-09-15 13:41:13.220626 : Epoch  4, Batch   1550, Loss  0.880647, Average Loss  0.868910, Time  0.263886
2021-09-15 13:41:16.197038 : Epoch  4, Batch   1551, Loss  0.859247, Average Loss  0.868839, Time  0.263550
2021-09-15 13:41:19.202281 : Epoch  4, Batch   1552, Loss  0.854211, Average Loss  0.868822, Time  0.264692
2021-09-15 13:41:22.213932 : Epoch  4, Batch   1553, Loss  0.849845, Average Loss  0.868691, Time  0.263793
2021-09-15 13:41:25.230353 : Epoch  4, Batch   1554, Loss  0.853391, Average Loss  0.868545, Time  0.262893
2021-09-15 13:41:28.218788 : Epoch  4, Batch   1555, Loss  0.865460, Average Loss  0.868522, Time  0.263171
2021-09-15 13:41:31.212020 : Epoch  4, Batch   1556, Loss  0.876716, Average Loss  0.868504, Time  0.262997
2021-09-15 13:41:34.186966 : Epoch  4, Batch   1557, Loss  0.849900, Average Loss  0.868376, Time  0.274592
2021-09-15 13:41:37.189246 : Epoch  4, Batch   1558, Loss  0.865651, Average Loss  0.868567, Time  0.263783
2021-09-15 13:41:40.177791 : Epoch  4, Batch   1559, Loss  0.854263, Average Loss  0.868498, Time  0.263195
2021-09-15 13:41:43.181623 : Epoch  4, Batch   1560, Loss  0.877853, Average Loss  0.868583, Time  0.263435
2021-09-15 13:41:46.159389 : Epoch  4, Batch   1561, Loss  0.874311, Average Loss  0.868694, Time  0.263785
2021-09-15 13:41:49.128938 : Epoch  4, Batch   1562, Loss  0.863910, Average Loss  0.868625, Time  0.264297
2021-09-15 13:41:52.140937 : Epoch  4, Batch   1563, Loss  0.880758, Average Loss  0.868681, Time  0.264139
2021-09-15 13:41:55.146055 : Epoch  4, Batch   1564, Loss  0.870713, Average Loss  0.868697, Time  0.264045
2021-09-15 13:41:58.166108 : Epoch  4, Batch   1565, Loss  0.866408, Average Loss  0.868610, Time  0.263735
2021-09-15 13:42:01.174904 : Epoch  4, Batch   1566, Loss  0.891720, Average Loss  0.868755, Time  0.264211
2021-09-15 13:42:04.197373 : Epoch  4, Batch   1567, Loss  0.866123, Average Loss  0.868708, Time  0.264112
2021-09-15 13:42:07.225917 : Epoch  4, Batch   1568, Loss  0.847465, Average Loss  0.868589, Time  0.263404
2021-09-15 13:42:10.206664 : Epoch  4, Batch   1569, Loss  0.894244, Average Loss  0.868857, Time  0.263234
2021-09-15 13:42:13.203482 : Epoch  4, Batch   1570, Loss  0.863264, Average Loss  0.868819, Time  0.263283
2021-09-15 13:42:16.166920 : Epoch  4, Batch   1571, Loss  0.862997, Average Loss  0.868766, Time  0.262851
2021-09-15 13:42:19.173552 : Epoch  4, Batch   1572, Loss  0.858126, Average Loss  0.868601, Time  0.273449
2021-09-15 13:42:22.161400 : Epoch  4, Batch   1573, Loss  0.867100, Average Loss  0.868645, Time  0.264322
2021-09-15 13:42:25.155712 : Epoch  4, Batch   1574, Loss  0.869483, Average Loss  0.868710, Time  0.263077
2021-09-15 13:42:28.125612 : Epoch  4, Batch   1575, Loss  0.867864, Average Loss  0.868725, Time  0.263769
2021-09-15 13:42:31.114029 : Epoch  4, Batch   1576, Loss  0.873033, Average Loss  0.868634, Time  0.264080
2021-09-15 13:42:34.134996 : Epoch  4, Batch   1577, Loss  0.867249, Average Loss  0.868721, Time  0.263122
2021-09-15 13:42:37.112888 : Epoch  4, Batch   1578, Loss  0.860283, Average Loss  0.868733, Time  0.264438
2021-09-15 13:42:40.117404 : Epoch  4, Batch   1579, Loss  0.883916, Average Loss  0.868685, Time  0.263079
2021-09-15 13:42:43.110926 : Epoch  4, Batch   1580, Loss  0.871151, Average Loss  0.868705, Time  0.263852
2021-09-15 13:42:46.099138 : Epoch  4, Batch   1581, Loss  0.866128, Average Loss  0.868688, Time  0.263577
2021-09-15 13:42:49.096990 : Epoch  4, Batch   1582, Loss  0.866335, Average Loss  0.868730, Time  0.263893
2021-09-15 13:42:52.102923 : Epoch  4, Batch   1583, Loss  0.877625, Average Loss  0.868660, Time  0.262767
2021-09-15 13:42:55.064190 : Epoch  4, Batch   1584, Loss  0.889854, Average Loss  0.868751, Time  0.262183
2021-09-15 13:42:58.054789 : Epoch  4, Batch   1585, Loss  0.879900, Average Loss  0.868698, Time  0.264332
2021-09-15 13:43:01.033831 : Epoch  4, Batch   1586, Loss  0.871132, Average Loss  0.868721, Time  0.263510
2021-09-15 13:43:04.032270 : Epoch  4, Batch   1587, Loss  0.885417, Average Loss  0.868743, Time  0.277557
2021-09-15 13:43:07.043134 : Epoch  4, Batch   1588, Loss  0.876349, Average Loss  0.868766, Time  0.264070
2021-09-15 13:43:10.020292 : Epoch  4, Batch   1589, Loss  0.853850, Average Loss  0.868639, Time  0.263201
2021-09-15 13:43:12.986773 : Epoch  4, Batch   1590, Loss  0.872150, Average Loss  0.868609, Time  0.263293
2021-09-15 13:43:15.990932 : Epoch  4, Batch   1591, Loss  0.859075, Average Loss  0.868504, Time  0.263642
2021-09-15 13:43:18.991240 : Epoch  4, Batch   1592, Loss  0.862520, Average Loss  0.868458, Time  0.264627
2021-09-15 13:43:22.013124 : Epoch  4, Batch   1593, Loss  0.876901, Average Loss  0.868528, Time  0.263795
2021-09-15 13:43:24.991897 : Epoch  4, Batch   1594, Loss  0.892363, Average Loss  0.868648, Time  0.263684
2021-09-15 13:43:27.974199 : Epoch  4, Batch   1595, Loss  0.871921, Average Loss  0.868611, Time  0.263930
2021-09-15 13:43:30.948903 : Epoch  4, Batch   1596, Loss  0.876053, Average Loss  0.868670, Time  0.264445
2021-09-15 13:43:33.953507 : Epoch  4, Batch   1597, Loss  0.876773, Average Loss  0.868736, Time  0.263928
2021-09-15 13:43:36.947493 : Epoch  4, Batch   1598, Loss  0.868293, Average Loss  0.868797, Time  0.263146
2021-09-15 13:43:39.938460 : Epoch  4, Batch   1599, Loss  0.869564, Average Loss  0.868753, Time  0.263937
2021-09-15 13:43:42.943109 : Epoch  4, Batch   1600, Loss  0.889005, Average Loss  0.868941, Time  0.264573
2021-09-15 13:43:45.919075 : Epoch  4, Batch   1601, Loss  0.858505, Average Loss  0.868838, Time  0.262895
2021-09-15 13:43:48.937719 : Epoch  4, Batch   1602, Loss  0.862029, Average Loss  0.868725, Time  0.272452
2021-09-15 13:43:51.915087 : Epoch  4, Batch   1603, Loss  0.873977, Average Loss  0.868621, Time  0.262903
2021-09-15 13:43:54.883677 : Epoch  4, Batch   1604, Loss  0.862295, Average Loss  0.868620, Time  0.263355
2021-09-15 13:43:57.853237 : Epoch  4, Batch   1605, Loss  0.858772, Average Loss  0.868612, Time  0.262832
2021-09-15 13:44:00.827411 : Epoch  4, Batch   1606, Loss  0.871918, Average Loss  0.868645, Time  0.264310
2021-09-15 13:44:03.826955 : Epoch  4, Batch   1607, Loss  0.870435, Average Loss  0.868572, Time  0.263669
2021-09-15 13:44:06.834405 : Epoch  4, Batch   1608, Loss  0.880070, Average Loss  0.868697, Time  0.264635
2021-09-15 13:44:09.834116 : Epoch  4, Batch   1609, Loss  0.866393, Average Loss  0.868727, Time  0.263708
2021-09-15 13:44:12.827937 : Epoch  4, Batch   1610, Loss  0.892684, Average Loss  0.868751, Time  0.263947
2021-09-15 13:44:15.805336 : Epoch  4, Batch   1611, Loss  0.866313, Average Loss  0.868734, Time  0.265449
2021-09-15 13:44:18.842606 : Epoch  4, Batch   1612, Loss  0.894560, Average Loss  0.868831, Time  0.264452
2021-09-15 13:44:21.844148 : Epoch  4, Batch   1613, Loss  0.866731, Average Loss  0.868787, Time  0.264353
2021-09-15 13:44:24.848895 : Epoch  4, Batch   1614, Loss  0.873729, Average Loss  0.868828, Time  0.263745
2021-09-15 13:44:27.848873 : Epoch  4, Batch   1615, Loss  0.869657, Average Loss  0.868894, Time  0.263835
2021-09-15 13:44:30.851460 : Epoch  4, Batch   1616, Loss  0.863365, Average Loss  0.868948, Time  0.263829
2021-09-15 13:44:33.855149 : Epoch  4, Batch   1617, Loss  0.856224, Average Loss  0.868815, Time  0.275647
2021-09-15 13:44:36.869868 : Epoch  4, Batch   1618, Loss  0.870120, Average Loss  0.868711, Time  0.264853
2021-09-15 13:44:39.854149 : Epoch  4, Batch   1619, Loss  0.853572, Average Loss  0.868615, Time  0.263868
2021-09-15 13:44:42.859089 : Epoch  4, Batch   1620, Loss  0.873200, Average Loss  0.868571, Time  0.262908
2021-09-15 13:44:45.832554 : Epoch  4, Batch   1621, Loss  0.867326, Average Loss  0.868619, Time  0.263360
2021-09-15 13:44:48.840619 : Epoch  4, Batch   1622, Loss  0.891986, Average Loss  0.868738, Time  0.263120
2021-09-15 13:44:51.838825 : Epoch  4, Batch   1623, Loss  0.883492, Average Loss  0.868762, Time  0.263693
2021-09-15 13:44:54.824077 : Epoch  4, Batch   1624, Loss  0.866846, Average Loss  0.868782, Time  0.263825
2021-09-15 13:44:57.842507 : Epoch  4, Batch   1625, Loss  0.852096, Average Loss  0.868702, Time  0.262769
2021-09-15 13:45:00.826609 : Epoch  4, Batch   1626, Loss  0.875457, Average Loss  0.868815, Time  0.263338
2021-09-15 13:45:03.794415 : Epoch  4, Batch   1627, Loss  0.871495, Average Loss  0.868778, Time  0.261926
2021-09-15 13:45:06.805598 : Epoch  4, Batch   1628, Loss  0.873237, Average Loss  0.868762, Time  0.263797
2021-09-15 13:45:09.793536 : Epoch  4, Batch   1629, Loss  0.874453, Average Loss  0.868854, Time  0.263773
2021-09-15 13:45:12.763058 : Epoch  4, Batch   1630, Loss  0.880186, Average Loss  0.868939, Time  0.263191
2021-09-15 13:45:15.754833 : Epoch  4, Batch   1631, Loss  0.868750, Average Loss  0.869003, Time  0.262939
2021-09-15 13:45:18.808237 : Epoch  4, Batch   1632, Loss  0.884880, Average Loss  0.869160, Time  0.264971
2021-09-15 13:49:57.719151 : CheckPoint: Validation Loss  0.00031134, Best Loss  0.00029236
2021-09-15 13:50:00.733015 : Epoch  4, Batch   1633, Loss  0.873775, Average Loss  0.869259, Time  0.266428
2021-09-15 13:50:03.702894 : Epoch  4, Batch   1634, Loss  0.868031, Average Loss  0.869337, Time  0.263265
2021-09-15 13:50:06.657486 : Epoch  4, Batch   1635, Loss  0.881708, Average Loss  0.869417, Time  0.263180
2021-09-15 13:50:09.627640 : Epoch  4, Batch   1636, Loss  0.860200, Average Loss  0.869317, Time  0.263635
2021-09-15 13:50:12.625062 : Epoch  4, Batch   1637, Loss  0.857251, Average Loss  0.869306, Time  0.263548
2021-09-15 13:50:15.639083 : Epoch  4, Batch   1638, Loss  0.879643, Average Loss  0.869348, Time  0.263551
2021-09-15 13:50:18.617638 : Epoch  4, Batch   1639, Loss  0.864206, Average Loss  0.869472, Time  0.263086
2021-09-15 13:50:21.619742 : Epoch  4, Batch   1640, Loss  0.891943, Average Loss  0.869559, Time  0.264696
2021-09-15 13:50:24.603498 : Epoch  4, Batch   1641, Loss  0.874802, Average Loss  0.869516, Time  0.263824
2021-09-15 13:50:27.612668 : Epoch  4, Batch   1642, Loss  0.874769, Average Loss  0.869562, Time  0.263743
2021-09-15 13:50:30.609730 : Epoch  4, Batch   1643, Loss  0.849534, Average Loss  0.869540, Time  0.263497
2021-09-15 13:50:33.618144 : Epoch  4, Batch   1644, Loss  0.857054, Average Loss  0.869547, Time  0.262871
2021-09-15 13:50:36.598780 : Epoch  4, Batch   1645, Loss  0.884551, Average Loss  0.869673, Time  0.264476
2021-09-15 13:50:39.571056 : Epoch  4, Batch   1646, Loss  0.861775, Average Loss  0.869632, Time  0.262944
2021-09-15 13:50:42.587429 : Epoch  4, Batch   1647, Loss  0.879128, Average Loss  0.869738, Time  0.269501
2021-09-15 13:50:45.570503 : Epoch  4, Batch   1648, Loss  0.866539, Average Loss  0.869695, Time  0.263468
2021-09-15 13:50:48.562002 : Epoch  4, Batch   1649, Loss  0.864576, Average Loss  0.869726, Time  0.263119
2021-09-15 13:50:51.525068 : Epoch  4, Batch   1650, Loss  0.848434, Average Loss  0.869633, Time  0.263833
2021-09-15 13:50:54.501333 : Epoch  4, Batch   1651, Loss  0.869093, Average Loss  0.869666, Time  0.263768
2021-09-15 13:50:57.494810 : Epoch  4, Batch   1652, Loss  0.884702, Average Loss  0.869675, Time  0.264808
2021-09-15 13:51:00.476212 : Epoch  4, Batch   1653, Loss  0.881575, Average Loss  0.869855, Time  0.264225
2021-09-15 13:51:03.492741 : Epoch  4, Batch   1654, Loss  0.876735, Average Loss  0.869938, Time  0.263533
2021-09-15 13:51:06.468746 : Epoch  4, Batch   1655, Loss  0.874186, Average Loss  0.869926, Time  0.263373
2021-09-15 13:51:09.445442 : Epoch  4, Batch   1656, Loss  0.882450, Average Loss  0.869901, Time  0.263324
2021-09-15 13:51:12.416138 : Epoch  4, Batch   1657, Loss  0.879033, Average Loss  0.869965, Time  0.263379
2021-09-15 13:51:15.399388 : Epoch  4, Batch   1658, Loss  0.862792, Average Loss  0.869912, Time  0.262969
2021-09-15 13:51:18.367055 : Epoch  4, Batch   1659, Loss  0.856411, Average Loss  0.869806, Time  0.263461
2021-09-15 13:51:21.355542 : Epoch  4, Batch   1660, Loss  0.888055, Average Loss  0.869941, Time  0.263975
2021-09-15 13:51:24.339263 : Epoch  4, Batch   1661, Loss  0.868504, Average Loss  0.869883, Time  0.263125
2021-09-15 13:51:27.327552 : Epoch  4, Batch   1662, Loss  0.868192, Average Loss  0.869899, Time  0.273171
2021-09-15 13:51:30.320747 : Epoch  4, Batch   1663, Loss  0.870366, Average Loss  0.869901, Time  0.262277
2021-09-15 13:51:33.284641 : Epoch  4, Batch   1664, Loss  0.866046, Average Loss  0.869894, Time  0.262992
2021-09-15 13:51:36.274872 : Epoch  4, Batch   1665, Loss  0.852392, Average Loss  0.869765, Time  0.263366
2021-09-15 13:51:39.244963 : Epoch  4, Batch   1666, Loss  0.854156, Average Loss  0.869702, Time  0.263174
2021-09-15 13:51:42.248466 : Epoch  4, Batch   1667, Loss  0.876217, Average Loss  0.869653, Time  0.262903
2021-09-15 13:51:45.221845 : Epoch  4, Batch   1668, Loss  0.888565, Average Loss  0.869755, Time  0.264306
2021-09-15 13:51:48.246843 : Epoch  4, Batch   1669, Loss  0.877796, Average Loss  0.869787, Time  0.263964
2021-09-15 13:51:51.225717 : Epoch  4, Batch   1670, Loss  0.863701, Average Loss  0.869853, Time  0.263823
2021-09-15 13:51:54.202509 : Epoch  4, Batch   1671, Loss  0.867938, Average Loss  0.869739, Time  0.264294
2021-09-15 13:51:57.217749 : Epoch  4, Batch   1672, Loss  0.868177, Average Loss  0.869691, Time  0.264277
2021-09-15 13:52:00.233121 : Epoch  4, Batch   1673, Loss  0.866038, Average Loss  0.869768, Time  0.263992
2021-09-15 13:52:03.224379 : Epoch  4, Batch   1674, Loss  0.878733, Average Loss  0.869789, Time  0.263739
2021-09-15 13:52:06.195646 : Epoch  4, Batch   1675, Loss  0.872464, Average Loss  0.869822, Time  0.263473
2021-09-15 13:52:09.174155 : Epoch  4, Batch   1676, Loss  0.881481, Average Loss  0.870027, Time  0.264599
2021-09-15 13:52:12.179096 : Epoch  4, Batch   1677, Loss  0.853245, Average Loss  0.870077, Time  0.276024
2021-09-15 13:52:15.091740 : Epoch  4, Batch   1678, Loss  0.860400, Average Loss  0.870092, Time  0.263188
2021-09-15 13:52:18.072169 : Epoch  4, Batch   1679, Loss  0.880779, Average Loss  0.870157, Time  0.264781
2021-09-15 13:52:21.059870 : Epoch  4, Batch   1680, Loss  0.890466, Average Loss  0.870332, Time  0.263028
2021-09-15 13:52:24.033438 : Epoch  4, Batch   1681, Loss  0.875436, Average Loss  0.870492, Time  0.262706
2021-09-15 13:52:27.004745 : Epoch  4, Batch   1682, Loss  0.875127, Average Loss  0.870469, Time  0.264215
2021-09-15 13:52:30.000525 : Epoch  4, Batch   1683, Loss  0.857880, Average Loss  0.870387, Time  0.263061
2021-09-15 13:52:32.984628 : Epoch  4, Batch   1684, Loss  0.870402, Average Loss  0.870379, Time  0.263566
2021-09-15 13:52:35.955738 : Epoch  4, Batch   1685, Loss  0.884776, Average Loss  0.870466, Time  0.263672
2021-09-15 13:52:38.932605 : Epoch  4, Batch   1686, Loss  0.854139, Average Loss  0.870436, Time  0.262834
2021-09-15 13:52:41.916214 : Epoch  4, Batch   1687, Loss  0.863182, Average Loss  0.870389, Time  0.263875
2021-09-15 13:52:44.898928 : Epoch  4, Batch   1688, Loss  0.883246, Average Loss  0.870370, Time  0.262160
2021-09-15 13:52:47.883158 : Epoch  4, Batch   1689, Loss  0.869927, Average Loss  0.870409, Time  0.263263
2021-09-15 13:52:50.889198 : Epoch  4, Batch   1690, Loss  0.878581, Average Loss  0.870459, Time  0.264138
2021-09-15 13:52:53.897473 : Epoch  4, Batch   1691, Loss  0.885159, Average Loss  0.870549, Time  0.263654
2021-09-15 13:52:56.890788 : Epoch  4, Batch   1692, Loss  0.853617, Average Loss  0.870641, Time  0.274818
2021-09-15 13:52:59.880732 : Epoch  4, Batch   1693, Loss  0.876374, Average Loss  0.870592, Time  0.264324
2021-09-15 13:53:02.908196 : Epoch  4, Batch   1694, Loss  0.867357, Average Loss  0.870713, Time  0.264658
2021-09-15 13:53:05.917136 : Epoch  4, Batch   1695, Loss  0.860470, Average Loss  0.870577, Time  0.264526
2021-09-15 13:53:08.921310 : Epoch  4, Batch   1696, Loss  0.867086, Average Loss  0.870491, Time  0.263791
2021-09-15 13:53:11.919884 : Epoch  4, Batch   1697, Loss  0.870049, Average Loss  0.870472, Time  0.263780
2021-09-15 13:53:14.932802 : Epoch  4, Batch   1698, Loss  0.895294, Average Loss  0.870584, Time  0.263876
2021-09-15 13:53:17.910735 : Epoch  4, Batch   1699, Loss  0.872427, Average Loss  0.870523, Time  0.265108
2021-09-15 13:53:20.885203 : Epoch  4, Batch   1700, Loss  0.863302, Average Loss  0.870485, Time  0.264094
2021-09-15 13:53:23.862470 : Epoch  4, Batch   1701, Loss  0.864354, Average Loss  0.870375, Time  0.264228
2021-09-15 13:53:26.843998 : Epoch  4, Batch   1702, Loss  0.882113, Average Loss  0.870449, Time  0.264182
2021-09-15 13:53:29.808298 : Epoch  4, Batch   1703, Loss  0.868131, Average Loss  0.870439, Time  0.263716
2021-09-15 13:53:32.795959 : Epoch  4, Batch   1704, Loss  0.889506, Average Loss  0.870499, Time  0.264042
2021-09-15 13:53:35.821331 : Epoch  4, Batch   1705, Loss  0.850436, Average Loss  0.870355, Time  0.263922
2021-09-15 13:53:38.826942 : Epoch  4, Batch   1706, Loss  0.884775, Average Loss  0.870431, Time  0.263331
2021-09-15 13:53:41.841343 : Epoch  4, Batch   1707, Loss  0.887007, Average Loss  0.870659, Time  0.274483
2021-09-15 13:53:44.786128 : Epoch  4, Batch   1708, Loss  0.862538, Average Loss  0.870672, Time  0.263358
2021-09-15 13:53:47.763534 : Epoch  4, Batch   1709, Loss  0.878766, Average Loss  0.870619, Time  0.263406
2021-09-15 13:53:50.743322 : Epoch  4, Batch   1710, Loss  0.881410, Average Loss  0.870702, Time  0.262880
2021-09-15 13:53:53.709521 : Epoch  4, Batch   1711, Loss  0.858797, Average Loss  0.870716, Time  0.263022
2021-09-15 13:53:56.691558 : Epoch  4, Batch   1712, Loss  0.848761, Average Loss  0.870668, Time  0.264893
2021-09-15 13:53:59.703507 : Epoch  4, Batch   1713, Loss  0.854722, Average Loss  0.870594, Time  0.263362
2021-09-15 13:54:02.694078 : Epoch  4, Batch   1714, Loss  0.886156, Average Loss  0.870770, Time  0.263087
2021-09-15 13:54:05.670273 : Epoch  4, Batch   1715, Loss  0.872429, Average Loss  0.870801, Time  0.263832
2021-09-15 13:54:08.655654 : Epoch  4, Batch   1716, Loss  0.884854, Average Loss  0.870890, Time  0.264202
2021-09-15 13:54:11.664877 : Epoch  4, Batch   1717, Loss  0.863906, Average Loss  0.870962, Time  0.264256
2021-09-15 13:54:14.659291 : Epoch  4, Batch   1718, Loss  0.853848, Average Loss  0.870902, Time  0.263266
2021-09-15 13:54:17.628075 : Epoch  4, Batch   1719, Loss  0.865862, Average Loss  0.870909, Time  0.262923
2021-09-15 13:54:20.626022 : Epoch  4, Batch   1720, Loss  0.874844, Average Loss  0.870914, Time  0.263343
2021-09-15 13:54:23.621765 : Epoch  4, Batch   1721, Loss  0.854064, Average Loss  0.870754, Time  0.264120
2021-09-15 13:54:26.637719 : Epoch  4, Batch   1722, Loss  0.844829, Average Loss  0.870637, Time  0.263899
2021-09-15 13:54:29.644801 : Epoch  4, Batch   1723, Loss  0.874635, Average Loss  0.870610, Time  0.274232
2021-09-15 13:54:32.617536 : Epoch  4, Batch   1724, Loss  0.863802, Average Loss  0.870643, Time  0.263208
2021-09-15 13:54:35.586192 : Epoch  4, Batch   1725, Loss  0.877476, Average Loss  0.870689, Time  0.263015
2021-09-15 13:54:38.573261 : Epoch  4, Batch   1726, Loss  0.858782, Average Loss  0.870659, Time  0.263807
2021-09-15 13:54:41.552347 : Epoch  4, Batch   1727, Loss  0.844050, Average Loss  0.870600, Time  0.262894
2021-09-15 13:54:44.528172 : Epoch  4, Batch   1728, Loss  0.890484, Average Loss  0.870700, Time  0.263001
2021-09-15 13:54:47.530359 : Epoch  4, Batch   1729, Loss  0.858802, Average Loss  0.870584, Time  0.263738
2021-09-15 13:54:50.514664 : Epoch  4, Batch   1730, Loss  0.851210, Average Loss  0.870372, Time  0.263532
2021-09-15 13:54:53.490967 : Epoch  4, Batch   1731, Loss  0.877163, Average Loss  0.870409, Time  0.263629
2021-09-15 13:54:56.477102 : Epoch  4, Batch   1732, Loss  0.867382, Average Loss  0.870417, Time  0.264804
2021-09-15 13:59:33.145875 : CheckPoint: Validation Loss  0.00029096, Best Loss  0.00029096
2021-09-15 13:59:33.173576 : Best Model Updated
2021-09-15 13:59:37.196260 : Epoch  4, Batch   1733, Loss  0.881968, Average Loss  0.870386, Time  0.265071
2021-09-15 13:59:40.176145 : Epoch  4, Batch   1734, Loss  0.870980, Average Loss  0.870367, Time  0.263590
2021-09-15 13:59:43.201935 : Epoch  4, Batch   1735, Loss  0.867654, Average Loss  0.870358, Time  0.264813
2021-09-15 13:59:46.219784 : Epoch  4, Batch   1736, Loss  0.891480, Average Loss  0.870455, Time  0.264505
2021-09-15 13:59:47.675244 : Epoch  4, Batch   1737, Loss  0.873045, Average Loss  0.870566, Time  0.163352
2021-09-15 13:59:50.649416 : Epoch  4, Batch   1738, Loss  0.864226, Average Loss  0.870537, Time  0.262965
2021-09-15 13:59:53.637658 : Epoch  4, Batch   1739, Loss  0.848600, Average Loss  0.870336, Time  0.263162
2021-09-15 13:59:56.616660 : Epoch  4, Batch   1740, Loss  0.880699, Average Loss  0.870340, Time  0.274647
2021-09-15 13:59:59.629321 : Epoch  4, Batch   1741, Loss  0.861867, Average Loss  0.870319, Time  0.264298
2021-09-15 14:00:02.630530 : Epoch  4, Batch   1742, Loss  0.855664, Average Loss  0.870215, Time  0.264096
2021-09-15 14:00:05.603667 : Epoch  4, Batch   1743, Loss  0.861056, Average Loss  0.870163, Time  0.263968
2021-09-15 14:00:08.572492 : Epoch  4, Batch   1744, Loss  0.881898, Average Loss  0.870228, Time  0.263049
2021-09-15 14:00:11.555837 : Epoch  4, Batch   1745, Loss  0.856893, Average Loss  0.870220, Time  0.263718
2021-09-15 14:00:14.576342 : Epoch  4, Batch   1746, Loss  0.860305, Average Loss  0.870194, Time  0.264637
2021-09-15 14:00:17.584772 : Epoch  4, Batch   1747, Loss  0.852834, Average Loss  0.870062, Time  0.263901
2021-09-15 14:00:20.576328 : Epoch  4, Batch   1748, Loss  0.873150, Average Loss  0.869976, Time  0.264551
2021-09-15 14:00:23.557232 : Epoch  4, Batch   1749, Loss  0.857740, Average Loss  0.869908, Time  0.262931
2021-09-15 14:00:26.532172 : Epoch  4, Batch   1750, Loss  0.851665, Average Loss  0.869763, Time  0.263682
2021-09-15 14:00:29.510269 : Epoch  4, Batch   1751, Loss  0.874246, Average Loss  0.869838, Time  0.263344
2021-09-15 14:00:32.523963 : Epoch  4, Batch   1752, Loss  0.877568, Average Loss  0.869955, Time  0.263659
2021-09-15 14:00:35.512379 : Epoch  4, Batch   1753, Loss  0.882663, Average Loss  0.870119, Time  0.263692
2021-09-15 14:00:38.511515 : Epoch  4, Batch   1754, Loss  0.878066, Average Loss  0.870243, Time  0.263324
2021-09-15 14:00:41.516694 : Epoch  4, Batch   1755, Loss  0.888282, Average Loss  0.870357, Time  0.271302
2021-09-15 14:00:44.521952 : Epoch  4, Batch   1756, Loss  0.884321, Average Loss  0.870395, Time  0.263538
2021-09-15 14:00:47.513473 : Epoch  4, Batch   1757, Loss  0.890430, Average Loss  0.870597, Time  0.264484
2021-09-15 14:00:50.509955 : Epoch  4, Batch   1758, Loss  0.886865, Average Loss  0.870703, Time  0.264088
2021-09-15 14:00:53.513669 : Epoch  4, Batch   1759, Loss  0.835318, Average Loss  0.870609, Time  0.264129
2021-09-15 14:00:56.518992 : Epoch  4, Batch   1760, Loss  0.864966, Average Loss  0.870544, Time  0.263719
2021-09-15 14:00:59.509829 : Epoch  4, Batch   1761, Loss  0.880797, Average Loss  0.870577, Time  0.262640
2021-09-15 14:01:02.505402 : Epoch  4, Batch   1762, Loss  0.857862, Average Loss  0.870546, Time  0.264812
2021-09-15 14:01:05.481293 : Epoch  4, Batch   1763, Loss  0.875871, Average Loss  0.870522, Time  0.263334
2021-09-15 14:01:08.493270 : Epoch  4, Batch   1764, Loss  0.884669, Average Loss  0.870592, Time  0.264887
2021-09-15 14:01:11.489154 : Epoch  4, Batch   1765, Loss  0.879721, Average Loss  0.870658, Time  0.264138
2021-09-15 14:01:14.474118 : Epoch  4, Batch   1766, Loss  0.871818, Average Loss  0.870559, Time  0.262975
2021-09-15 14:01:17.463826 : Epoch  4, Batch   1767, Loss  0.868391, Average Loss  0.870570, Time  0.263991
2021-09-15 14:01:20.479420 : Epoch  4, Batch   1768, Loss  0.867860, Average Loss  0.870672, Time  0.263154
2021-09-15 14:01:23.462756 : Epoch  4, Batch   1769, Loss  0.885978, Average Loss  0.870631, Time  0.263880
2021-09-15 14:01:26.456170 : Epoch  4, Batch   1770, Loss  0.877551, Average Loss  0.870702, Time  0.272240
2021-09-15 14:01:29.446898 : Epoch  4, Batch   1771, Loss  0.883691, Average Loss  0.870806, Time  0.263989
2021-09-15 14:01:32.467369 : Epoch  4, Batch   1772, Loss  0.887738, Average Loss  0.870954, Time  0.264087
2021-09-15 14:01:35.448450 : Epoch  4, Batch   1773, Loss  0.877771, Average Loss  0.871007, Time  0.263620
2021-09-15 14:01:38.436874 : Epoch  4, Batch   1774, Loss  0.852629, Average Loss  0.870923, Time  0.263655
2021-09-15 14:01:41.436577 : Epoch  4, Batch   1775, Loss  0.866424, Average Loss  0.870916, Time  0.263139
2021-09-15 14:01:44.425291 : Epoch  4, Batch   1776, Loss  0.869989, Average Loss  0.870900, Time  0.263821
2021-09-15 14:01:47.407400 : Epoch  4, Batch   1777, Loss  0.880930, Average Loss  0.870969, Time  0.262961
2021-09-15 14:01:50.396591 : Epoch  4, Batch   1778, Loss  0.856077, Average Loss  0.870948, Time  0.264431
2021-09-15 14:01:53.382414 : Epoch  4, Batch   1779, Loss  0.881187, Average Loss  0.870934, Time  0.264436
2021-09-15 14:01:56.369944 : Epoch  4, Batch   1780, Loss  0.857072, Average Loss  0.870864, Time  0.263639
2021-09-15 14:01:59.345869 : Epoch  4, Batch   1781, Loss  0.860026, Average Loss  0.870833, Time  0.263619
2021-09-15 14:02:02.351697 : Epoch  4, Batch   1782, Loss  0.859127, Average Loss  0.870797, Time  0.263087
2021-09-15 14:02:05.334794 : Epoch  4, Batch   1783, Loss  0.870644, Average Loss  0.870762, Time  0.263044
2021-09-15 14:02:08.313452 : Epoch  4, Batch   1784, Loss  0.861678, Average Loss  0.870621, Time  0.262965
2021-09-15 14:02:11.314307 : Epoch  4, Batch   1785, Loss  0.863612, Average Loss  0.870540, Time  0.277526
2021-09-15 14:02:14.319326 : Epoch  4, Batch   1786, Loss  0.861810, Average Loss  0.870493, Time  0.264239
2021-09-15 14:02:17.295326 : Epoch  4, Batch   1787, Loss  0.849526, Average Loss  0.870314, Time  0.263694
2021-09-15 14:02:20.323311 : Epoch  4, Batch   1788, Loss  0.855067, Average Loss  0.870208, Time  0.262999
2021-09-15 14:02:23.314909 : Epoch  4, Batch   1789, Loss  0.878352, Average Loss  0.870330, Time  0.263973
2021-09-15 14:02:26.284470 : Epoch  4, Batch   1790, Loss  0.871346, Average Loss  0.870326, Time  0.263774
2021-09-15 14:02:29.258339 : Epoch  4, Batch   1791, Loss  0.902801, Average Loss  0.870545, Time  0.263163
2021-09-15 14:02:32.230327 : Epoch  4, Batch   1792, Loss  0.870273, Average Loss  0.870583, Time  0.263917
2021-09-15 14:02:35.212176 : Epoch  4, Batch   1793, Loss  0.852244, Average Loss  0.870460, Time  0.263089
2021-09-15 14:02:38.196782 : Epoch  4, Batch   1794, Loss  0.896982, Average Loss  0.870483, Time  0.264305
2021-09-15 14:02:41.193006 : Epoch  4, Batch   1795, Loss  0.865578, Average Loss  0.870452, Time  0.263684
2021-09-15 14:02:44.173288 : Epoch  4, Batch   1796, Loss  0.867594, Average Loss  0.870409, Time  0.262648
2021-09-15 14:02:47.143577 : Epoch  4, Batch   1797, Loss  0.861684, Average Loss  0.870334, Time  0.264358
2021-09-15 14:02:50.136679 : Epoch  4, Batch   1798, Loss  0.884933, Average Loss  0.870417, Time  0.264538
2021-09-15 14:02:53.155356 : Epoch  4, Batch   1799, Loss  0.857742, Average Loss  0.870358, Time  0.263885
2021-09-15 14:02:56.164636 : Epoch  4, Batch   1800, Loss  0.884698, Average Loss  0.870336, Time  0.275896
2021-09-15 14:02:59.174568 : Epoch  4, Batch   1801, Loss  0.872923, Average Loss  0.870408, Time  0.264284
2021-09-15 14:03:02.192241 : Epoch  4, Batch   1802, Loss  0.862189, Average Loss  0.870409, Time  0.264210
2021-09-15 14:03:05.189805 : Epoch  4, Batch   1803, Loss  0.849455, Average Loss  0.870287, Time  0.264431
2021-09-15 14:03:08.172203 : Epoch  4, Batch   1804, Loss  0.856524, Average Loss  0.870258, Time  0.263889
2021-09-15 14:03:11.177323 : Epoch  4, Batch   1805, Loss  0.871720, Average Loss  0.870323, Time  0.263805
2021-09-15 14:03:14.157043 : Epoch  4, Batch   1806, Loss  0.879250, Average Loss  0.870359, Time  0.264105
2021-09-15 14:03:17.166027 : Epoch  4, Batch   1807, Loss  0.877376, Average Loss  0.870394, Time  0.263683
2021-09-15 14:03:20.142188 : Epoch  4, Batch   1808, Loss  0.853310, Average Loss  0.870260, Time  0.263291
2021-09-15 14:03:23.144340 : Epoch  4, Batch   1809, Loss  0.886335, Average Loss  0.870360, Time  0.264330
2021-09-15 14:03:26.147318 : Epoch  4, Batch   1810, Loss  0.857257, Average Loss  0.870183, Time  0.263135
2021-09-15 14:03:29.121772 : Epoch  4, Batch   1811, Loss  0.870278, Average Loss  0.870202, Time  0.264563
2021-09-15 14:03:32.113678 : Epoch  4, Batch   1812, Loss  0.869774, Average Loss  0.870079, Time  0.264102
2021-09-15 14:03:35.121401 : Epoch  4, Batch   1813, Loss  0.888963, Average Loss  0.870190, Time  0.263618
2021-09-15 14:03:38.087697 : Epoch  4, Batch   1814, Loss  0.872088, Average Loss  0.870181, Time  0.263414
2021-09-15 14:03:41.077514 : Epoch  4, Batch   1815, Loss  0.886245, Average Loss  0.870264, Time  0.275659
2021-09-15 14:03:44.089795 : Epoch  4, Batch   1816, Loss  0.859226, Average Loss  0.870244, Time  0.264040
2021-09-15 14:03:47.068456 : Epoch  4, Batch   1817, Loss  0.883098, Average Loss  0.870378, Time  0.263205
2021-09-15 14:03:50.037866 : Epoch  4, Batch   1818, Loss  0.863967, Average Loss  0.870347, Time  0.263110
2021-09-15 14:03:53.012158 : Epoch  4, Batch   1819, Loss  0.867154, Average Loss  0.870415, Time  0.263229
2021-09-15 14:03:55.985288 : Epoch  4, Batch   1820, Loss  0.869236, Average Loss  0.870395, Time  0.263347
2021-09-15 14:03:58.965128 : Epoch  4, Batch   1821, Loss  0.895715, Average Loss  0.870537, Time  0.264198
2021-09-15 14:04:01.966707 : Epoch  4, Batch   1822, Loss  0.857149, Average Loss  0.870363, Time  0.263225
2021-09-15 14:04:04.941755 : Epoch  4, Batch   1823, Loss  0.880177, Average Loss  0.870347, Time  0.263315
2021-09-15 14:04:07.913367 : Epoch  4, Batch   1824, Loss  0.855895, Average Loss  0.870292, Time  0.263637
2021-09-15 14:04:10.884536 : Epoch  4, Batch   1825, Loss  0.854498, Average Loss  0.870304, Time  0.264340
2021-09-15 14:04:13.859633 : Epoch  4, Batch   1826, Loss  0.851224, Average Loss  0.870183, Time  0.263579
2021-09-15 14:04:16.835063 : Epoch  4, Batch   1827, Loss  0.878902, Average Loss  0.870220, Time  0.263254
2021-09-15 14:04:19.799700 : Epoch  4, Batch   1828, Loss  0.859084, Average Loss  0.870149, Time  0.263867
2021-09-15 14:04:22.801646 : Epoch  4, Batch   1829, Loss  0.858696, Average Loss  0.870070, Time  0.264508
2021-09-15 14:04:25.842697 : Epoch  4, Batch   1830, Loss  0.851780, Average Loss  0.869928, Time  0.278711
2021-09-15 14:04:28.856327 : Epoch  4, Batch   1831, Loss  0.872706, Average Loss  0.869948, Time  0.264555
2021-09-15 14:04:31.834682 : Epoch  4, Batch   1832, Loss  0.876196, Average Loss  0.869905, Time  0.263128
2021-09-15 14:09:10.008323 : CheckPoint: Validation Loss  0.00031091, Best Loss  0.00029096
2021-09-15 14:09:12.996689 : Epoch  4, Batch   1833, Loss  0.872615, Average Loss  0.869899, Time  0.264241
2021-09-15 14:09:15.996120 : Epoch  4, Batch   1834, Loss  0.860771, Average Loss  0.869862, Time  0.262761
2021-09-15 14:09:18.998864 : Epoch  4, Batch   1835, Loss  0.875050, Average Loss  0.869829, Time  0.263820
2021-09-15 14:09:21.974311 : Epoch  4, Batch   1836, Loss  0.866722, Average Loss  0.869862, Time  0.262809
2021-09-15 14:09:24.957435 : Epoch  4, Batch   1837, Loss  0.876874, Average Loss  0.869960, Time  0.263081
2021-09-15 14:09:27.944694 : Epoch  4, Batch   1838, Loss  0.861234, Average Loss  0.869868, Time  0.263616
2021-09-15 14:09:30.924765 : Epoch  4, Batch   1839, Loss  0.883833, Average Loss  0.869966, Time  0.263456
2021-09-15 14:09:33.937301 : Epoch  4, Batch   1840, Loss  0.852922, Average Loss  0.869771, Time  0.263874
2021-09-15 14:09:36.947756 : Epoch  4, Batch   1841, Loss  0.876168, Average Loss  0.869778, Time  0.263845
2021-09-15 14:09:39.948758 : Epoch  4, Batch   1842, Loss  0.867892, Average Loss  0.869743, Time  0.263847
2021-09-15 14:09:42.955439 : Epoch  4, Batch   1843, Loss  0.858240, Average Loss  0.869787, Time  0.263239
2021-09-15 14:09:45.940577 : Epoch  4, Batch   1844, Loss  0.862104, Average Loss  0.869812, Time  0.263151
2021-09-15 14:09:48.936253 : Epoch  4, Batch   1845, Loss  0.850589, Average Loss  0.869642, Time  0.274584
2021-09-15 14:09:51.909079 : Epoch  4, Batch   1846, Loss  0.854721, Average Loss  0.869607, Time  0.264148
2021-09-15 14:09:54.878295 : Epoch  4, Batch   1847, Loss  0.878075, Average Loss  0.869602, Time  0.263533
2021-09-15 14:09:57.872479 : Epoch  4, Batch   1848, Loss  0.883163, Average Loss  0.869685, Time  0.264259
2021-09-15 14:10:00.888107 : Epoch  4, Batch   1849, Loss  0.862031, Average Loss  0.869672, Time  0.264175
2021-09-15 14:10:03.899538 : Epoch  4, Batch   1850, Loss  0.861597, Average Loss  0.869738, Time  0.264260
2021-09-15 14:10:06.873499 : Epoch  4, Batch   1851, Loss  0.846560, Average Loss  0.869625, Time  0.263252
2021-09-15 14:10:09.803660 : Epoch  4, Batch   1852, Loss  0.871805, Average Loss  0.869561, Time  0.262995
2021-09-15 14:10:12.788444 : Epoch  4, Batch   1853, Loss  0.858718, Average Loss  0.869446, Time  0.262946
2021-09-15 14:10:15.763939 : Epoch  4, Batch   1854, Loss  0.868722, Average Loss  0.869406, Time  0.263665
2021-09-15 14:10:18.745370 : Epoch  4, Batch   1855, Loss  0.865843, Average Loss  0.869365, Time  0.263245
2021-09-15 14:10:21.725727 : Epoch  4, Batch   1856, Loss  0.870861, Average Loss  0.869307, Time  0.263628
2021-09-15 14:10:21.754791 : Saving Model after 4-th Epoch.
2021-09-15 14:10:22.638878 : Epoch Finished.
2021-09-15 14:10:28.307633 : Batch Shuffled
2021-09-15 14:10:31.293249 : Epoch  5, Batch      1, Loss  0.869617, Average Loss  0.869260, Time  0.263363
2021-09-15 14:10:34.303521 : Epoch  5, Batch      2, Loss  0.893412, Average Loss  0.869413, Time  0.272890
2021-09-15 14:10:37.353852 : Epoch  5, Batch      3, Loss  0.868236, Average Loss  0.869472, Time  0.263443
2021-09-15 14:10:40.395444 : Epoch  5, Batch      4, Loss  0.851397, Average Loss  0.869289, Time  0.264049
2021-09-15 14:10:43.401443 : Epoch  5, Batch      5, Loss  0.865967, Average Loss  0.869276, Time  0.263474
2021-09-15 14:10:46.411849 : Epoch  5, Batch      6, Loss  0.870567, Average Loss  0.869288, Time  0.262652
2021-09-15 14:10:49.411746 : Epoch  5, Batch      7, Loss  0.885922, Average Loss  0.869366, Time  0.263464
2021-09-15 14:10:52.417456 : Epoch  5, Batch      8, Loss  0.870034, Average Loss  0.869386, Time  0.263780
2021-09-15 14:10:55.425897 : Epoch  5, Batch      9, Loss  0.872107, Average Loss  0.869484, Time  0.263131
2021-09-15 14:10:58.429420 : Epoch  5, Batch     10, Loss  0.869685, Average Loss  0.869562, Time  0.263723
2021-09-15 14:11:01.439807 : Epoch  5, Batch     11, Loss  0.872682, Average Loss  0.869544, Time  0.263558
2021-09-15 14:11:04.435788 : Epoch  5, Batch     12, Loss  0.883733, Average Loss  0.869520, Time  0.263187
2021-09-15 14:11:07.498378 : Epoch  5, Batch     13, Loss  0.879916, Average Loss  0.869531, Time  0.263703
2021-09-15 14:11:10.539162 : Epoch  5, Batch     14, Loss  0.868138, Average Loss  0.869553, Time  0.264086
2021-09-15 14:11:13.558529 : Epoch  5, Batch     15, Loss  0.850437, Average Loss  0.869465, Time  0.263128
2021-09-15 14:11:16.558395 : Epoch  5, Batch     16, Loss  0.864587, Average Loss  0.869447, Time  0.263040
2021-09-15 14:11:19.564768 : Epoch  5, Batch     17, Loss  0.868538, Average Loss  0.869460, Time  0.272090
2021-09-15 14:11:22.574882 : Epoch  5, Batch     18, Loss  0.883312, Average Loss  0.869483, Time  0.264069
2021-09-15 14:11:25.571984 : Epoch  5, Batch     19, Loss  0.872160, Average Loss  0.869481, Time  0.263423
2021-09-15 14:11:28.605162 : Epoch  5, Batch     20, Loss  0.860945, Average Loss  0.869378, Time  0.263456
2021-09-15 14:11:31.679964 : Epoch  5, Batch     21, Loss  0.887787, Average Loss  0.869551, Time  0.263543
2021-09-15 14:11:34.719332 : Epoch  5, Batch     22, Loss  0.891964, Average Loss  0.869709, Time  0.264004
2021-09-15 14:11:37.746031 : Epoch  5, Batch     23, Loss  0.862861, Average Loss  0.869619, Time  0.263947
2021-09-15 14:11:40.758537 : Epoch  5, Batch     24, Loss  0.881627, Average Loss  0.869575, Time  0.262929
2021-09-15 14:11:43.772982 : Epoch  5, Batch     25, Loss  0.859689, Average Loss  0.869496, Time  0.263833
2021-09-15 14:11:46.784029 : Epoch  5, Batch     26, Loss  0.865065, Average Loss  0.869446, Time  0.264036
2021-09-15 14:11:49.791334 : Epoch  5, Batch     27, Loss  0.865399, Average Loss  0.869484, Time  0.263124
2021-09-15 14:11:52.811970 : Epoch  5, Batch     28, Loss  0.881910, Average Loss  0.869541, Time  0.263378
2021-09-15 14:11:55.817290 : Epoch  5, Batch     29, Loss  0.876049, Average Loss  0.869498, Time  0.263643
2021-09-15 14:11:58.817320 : Epoch  5, Batch     30, Loss  0.879755, Average Loss  0.869626, Time  0.263348
2021-09-15 14:12:01.824834 : Epoch  5, Batch     31, Loss  0.878948, Average Loss  0.869705, Time  0.264275
2021-09-15 14:12:04.844289 : Epoch  5, Batch     32, Loss  0.860067, Average Loss  0.869589, Time  0.271709
2021-09-15 14:12:07.845073 : Epoch  5, Batch     33, Loss  0.867463, Average Loss  0.869576, Time  0.263713
2021-09-15 14:12:10.868437 : Epoch  5, Batch     34, Loss  0.844744, Average Loss  0.869407, Time  0.263314
2021-09-15 14:12:13.866813 : Epoch  5, Batch     35, Loss  0.883317, Average Loss  0.869398, Time  0.263644
2021-09-15 14:12:16.896856 : Epoch  5, Batch     36, Loss  0.854583, Average Loss  0.869403, Time  0.263927
2021-09-15 14:12:19.906539 : Epoch  5, Batch     37, Loss  0.854032, Average Loss  0.869291, Time  0.263325
2021-09-15 14:12:22.927064 : Epoch  5, Batch     38, Loss  0.896347, Average Loss  0.869436, Time  0.264014
2021-09-15 14:12:25.978325 : Epoch  5, Batch     39, Loss  0.858671, Average Loss  0.869427, Time  0.264436
2021-09-15 14:12:29.011443 : Epoch  5, Batch     40, Loss  0.856867, Average Loss  0.869376, Time  0.264344
2021-09-15 14:12:32.048000 : Epoch  5, Batch     41, Loss  0.850833, Average Loss  0.869280, Time  0.263349
2021-09-15 14:12:35.056400 : Epoch  5, Batch     42, Loss  0.869836, Average Loss  0.869153, Time  0.263046
2021-09-15 14:12:38.062189 : Epoch  5, Batch     43, Loss  0.871616, Average Loss  0.869149, Time  0.263700
2021-09-15 14:12:41.073510 : Epoch  5, Batch     44, Loss  0.881801, Average Loss  0.869241, Time  0.263011
2021-09-15 14:12:44.074595 : Epoch  5, Batch     45, Loss  0.871554, Average Loss  0.869277, Time  0.262731
2021-09-15 14:12:47.114337 : Epoch  5, Batch     46, Loss  0.867611, Average Loss  0.869205, Time  0.264174
2021-09-15 14:12:50.140713 : Epoch  5, Batch     47, Loss  0.844371, Average Loss  0.869086, Time  0.271397
2021-09-15 14:12:53.139691 : Epoch  5, Batch     48, Loss  0.855584, Average Loss  0.868916, Time  0.264563
2021-09-15 14:12:56.175945 : Epoch  5, Batch     49, Loss  0.850911, Average Loss  0.868918, Time  0.265195
2021-09-15 14:12:59.192028 : Epoch  5, Batch     50, Loss  0.871614, Average Loss  0.868853, Time  0.263561
2021-09-15 14:13:02.216084 : Epoch  5, Batch     51, Loss  0.867222, Average Loss  0.868754, Time  0.263128
2021-09-15 14:13:05.217303 : Epoch  5, Batch     52, Loss  0.882263, Average Loss  0.868852, Time  0.262657
2021-09-15 14:13:08.262021 : Epoch  5, Batch     53, Loss  0.864206, Average Loss  0.868780, Time  0.263426
2021-09-15 14:13:11.275215 : Epoch  5, Batch     54, Loss  0.881551, Average Loss  0.868780, Time  0.262865
2021-09-15 14:13:14.282943 : Epoch  5, Batch     55, Loss  0.855482, Average Loss  0.868764, Time  0.264270
2021-09-15 14:13:17.294371 : Epoch  5, Batch     56, Loss  0.851453, Average Loss  0.868777, Time  0.263055
2021-09-15 14:13:20.298483 : Epoch  5, Batch     57, Loss  0.876595, Average Loss  0.868887, Time  0.263230
2021-09-15 14:13:23.290278 : Epoch  5, Batch     58, Loss  0.876411, Average Loss  0.868838, Time  0.263401
2021-09-15 14:13:26.285837 : Epoch  5, Batch     59, Loss  0.887076, Average Loss  0.868911, Time  0.263213
2021-09-15 14:13:29.282033 : Epoch  5, Batch     60, Loss  0.858234, Average Loss  0.868778, Time  0.263188
2021-09-15 14:13:32.299082 : Epoch  5, Batch     61, Loss  0.845723, Average Loss  0.868687, Time  0.263507
2021-09-15 14:13:35.322894 : Epoch  5, Batch     62, Loss  0.887656, Average Loss  0.868856, Time  0.277943
2021-09-15 14:13:38.377134 : Epoch  5, Batch     63, Loss  0.858581, Average Loss  0.868820, Time  0.265667
2021-09-15 14:13:41.376645 : Epoch  5, Batch     64, Loss  0.882507, Average Loss  0.868858, Time  0.264197
2021-09-15 14:13:44.413058 : Epoch  5, Batch     65, Loss  0.890920, Average Loss  0.869042, Time  0.263407
2021-09-15 14:13:47.443468 : Epoch  5, Batch     66, Loss  0.888556, Average Loss  0.869261, Time  0.265060
2021-09-15 14:13:50.450254 : Epoch  5, Batch     67, Loss  0.868899, Average Loss  0.869232, Time  0.263894
2021-09-15 14:13:53.463926 : Epoch  5, Batch     68, Loss  0.860241, Average Loss  0.869214, Time  0.263476
2021-09-15 14:13:56.473602 : Epoch  5, Batch     69, Loss  0.854471, Average Loss  0.869099, Time  0.264403
2021-09-15 14:13:59.518107 : Epoch  5, Batch     70, Loss  0.866490, Average Loss  0.869138, Time  0.264087
2021-09-15 14:14:02.557832 : Epoch  5, Batch     71, Loss  0.866615, Average Loss  0.869251, Time  0.264090
2021-09-15 14:14:05.575251 : Epoch  5, Batch     72, Loss  0.868741, Average Loss  0.869142, Time  0.263635
2021-09-15 14:14:08.584647 : Epoch  5, Batch     73, Loss  0.867824, Average Loss  0.869187, Time  0.262914
2021-09-15 14:14:11.583628 : Epoch  5, Batch     74, Loss  0.860671, Average Loss  0.869234, Time  0.264250
2021-09-15 14:14:14.626639 : Epoch  5, Batch     75, Loss  0.860550, Average Loss  0.869151, Time  0.263215
2021-09-15 14:14:17.634320 : Epoch  5, Batch     76, Loss  0.875411, Average Loss  0.869192, Time  0.263582
2021-09-15 14:18:53.617040 : CheckPoint: Validation Loss  0.00030097, Best Loss  0.00029096
2021-09-15 14:18:56.627077 : Epoch  5, Batch     77, Loss  0.862326, Average Loss  0.869093, Time  0.264238
2021-09-15 14:18:59.626983 : Epoch  5, Batch     78, Loss  0.881007, Average Loss  0.869143, Time  0.263278
2021-09-15 14:19:02.641182 : Epoch  5, Batch     79, Loss  0.875054, Average Loss  0.869180, Time  0.272510
2021-09-15 14:19:05.671882 : Epoch  5, Batch     80, Loss  0.865463, Average Loss  0.869050, Time  0.263469
2021-09-15 14:19:08.693484 : Epoch  5, Batch     81, Loss  0.858765, Average Loss  0.868979, Time  0.263597
2021-09-15 14:19:11.752362 : Epoch  5, Batch     82, Loss  0.865809, Average Loss  0.868987, Time  0.263503
2021-09-15 14:19:14.776607 : Epoch  5, Batch     83, Loss  0.883351, Average Loss  0.869161, Time  0.262807
2021-09-15 14:19:17.873091 : Epoch  5, Batch     84, Loss  0.889181, Average Loss  0.869203, Time  0.264554
2021-09-15 14:19:20.913158 : Epoch  5, Batch     85, Loss  0.878467, Average Loss  0.869286, Time  0.264713
2021-09-15 14:19:23.916284 : Epoch  5, Batch     86, Loss  0.870311, Average Loss  0.869359, Time  0.263610
2021-09-15 14:19:26.933875 : Epoch  5, Batch     87, Loss  0.869568, Average Loss  0.869402, Time  0.264739
2021-09-15 14:19:29.943275 : Epoch  5, Batch     88, Loss  0.866226, Average Loss  0.869323, Time  0.263277
2021-09-15 14:19:32.959472 : Epoch  5, Batch     89, Loss  0.845760, Average Loss  0.869268, Time  0.263412
2021-09-15 14:19:35.971904 : Epoch  5, Batch     90, Loss  0.894226, Average Loss  0.869437, Time  0.264659
2021-09-15 14:19:38.977814 : Epoch  5, Batch     91, Loss  0.869524, Average Loss  0.869521, Time  0.263202
2021-09-15 14:19:41.988878 : Epoch  5, Batch     92, Loss  0.890079, Average Loss  0.869606, Time  0.263150
2021-09-15 14:19:44.990982 : Epoch  5, Batch     93, Loss  0.878826, Average Loss  0.869711, Time  0.263810
2021-09-15 14:19:48.019977 : Epoch  5, Batch     94, Loss  0.867826, Average Loss  0.869792, Time  0.275941
2021-09-15 14:19:51.042777 : Epoch  5, Batch     95, Loss  0.856419, Average Loss  0.869703, Time  0.264905
2021-09-15 14:19:54.049541 : Epoch  5, Batch     96, Loss  0.858333, Average Loss  0.869606, Time  0.263864
2021-09-15 14:19:57.053609 : Epoch  5, Batch     97, Loss  0.882714, Average Loss  0.869607, Time  0.262926
2021-09-15 14:20:00.062169 : Epoch  5, Batch     98, Loss  0.858604, Average Loss  0.869509, Time  0.263616
2021-09-15 14:20:03.062746 : Epoch  5, Batch     99, Loss  0.875508, Average Loss  0.869446, Time  0.262610
2021-09-15 14:20:06.066509 : Epoch  5, Batch    100, Loss  0.877997, Average Loss  0.869414, Time  0.263197
2021-09-15 14:20:09.061017 : Epoch  5, Batch    101, Loss  0.885400, Average Loss  0.869389, Time  0.262974
2021-09-15 14:20:12.087381 : Epoch  5, Batch    102, Loss  0.889857, Average Loss  0.869404, Time  0.263485
2021-09-15 14:20:15.094304 : Epoch  5, Batch    103, Loss  0.855950, Average Loss  0.869507, Time  0.264081
2021-09-15 14:20:18.090170 : Epoch  5, Batch    104, Loss  0.856058, Average Loss  0.869462, Time  0.264160
2021-09-15 14:20:21.108071 : Epoch  5, Batch    105, Loss  0.879729, Average Loss  0.869457, Time  0.262707
2021-09-15 14:20:24.112441 : Epoch  5, Batch    106, Loss  0.865535, Average Loss  0.869495, Time  0.262937
2021-09-15 14:20:27.126143 : Epoch  5, Batch    107, Loss  0.871474, Average Loss  0.869473, Time  0.263635
2021-09-15 14:20:30.138549 : Epoch  5, Batch    108, Loss  0.853319, Average Loss  0.869317, Time  0.263135
2021-09-15 14:20:33.151786 : Epoch  5, Batch    109, Loss  0.859390, Average Loss  0.869215, Time  0.275977
2021-09-15 14:20:36.170062 : Epoch  5, Batch    110, Loss  0.885477, Average Loss  0.869283, Time  0.263804
2021-09-15 14:20:39.170573 : Epoch  5, Batch    111, Loss  0.876661, Average Loss  0.869325, Time  0.263802
2021-09-15 14:20:42.169376 : Epoch  5, Batch    112, Loss  0.885108, Average Loss  0.869411, Time  0.263874
2021-09-15 14:20:45.206364 : Epoch  5, Batch    113, Loss  0.880179, Average Loss  0.869382, Time  0.263670
2021-09-15 14:20:48.220912 : Epoch  5, Batch    114, Loss  0.875287, Average Loss  0.869371, Time  0.263133
2021-09-15 14:20:51.227925 : Epoch  5, Batch    115, Loss  0.872457, Average Loss  0.869314, Time  0.263563
2021-09-15 14:20:54.232291 : Epoch  5, Batch    116, Loss  0.879201, Average Loss  0.869272, Time  0.264285
2021-09-15 14:20:57.274625 : Epoch  5, Batch    117, Loss  0.902504, Average Loss  0.869395, Time  0.263428
2021-09-15 14:21:00.274154 : Epoch  5, Batch    118, Loss  0.854448, Average Loss  0.869404, Time  0.262890
2021-09-15 14:21:03.284481 : Epoch  5, Batch    119, Loss  0.894364, Average Loss  0.869544, Time  0.263361
2021-09-15 14:21:06.283272 : Epoch  5, Batch    120, Loss  0.868666, Average Loss  0.869538, Time  0.263014
2021-09-15 14:21:09.271139 : Epoch  5, Batch    121, Loss  0.860090, Average Loss  0.869433, Time  0.263041
2021-09-15 14:21:12.262295 : Epoch  5, Batch    122, Loss  0.846603, Average Loss  0.869386, Time  0.264066
2021-09-15 14:21:15.276596 : Epoch  5, Batch    123, Loss  0.862788, Average Loss  0.869294, Time  0.263412
2021-09-15 14:21:18.285504 : Epoch  5, Batch    124, Loss  0.859417, Average Loss  0.869306, Time  0.275821
2021-09-15 14:21:21.282367 : Epoch  5, Batch    125, Loss  0.863505, Average Loss  0.869323, Time  0.263521
2021-09-15 14:21:24.306223 : Epoch  5, Batch    126, Loss  0.875621, Average Loss  0.869406, Time  0.262786
2021-09-15 14:21:27.308278 : Epoch  5, Batch    127, Loss  0.878924, Average Loss  0.869447, Time  0.264073
2021-09-15 14:21:30.299553 : Epoch  5, Batch    128, Loss  0.883213, Average Loss  0.869555, Time  0.262953
2021-09-15 14:21:33.329151 : Epoch  5, Batch    129, Loss  0.881941, Average Loss  0.869646, Time  0.263940
2021-09-15 14:21:36.342480 : Epoch  5, Batch    130, Loss  0.856420, Average Loss  0.869619, Time  0.264121
2021-09-15 14:21:39.380772 : Epoch  5, Batch    131, Loss  0.859096, Average Loss  0.869667, Time  0.263898
2021-09-15 14:21:42.374567 : Epoch  5, Batch    132, Loss  0.900825, Average Loss  0.869896, Time  0.263325
2021-09-15 14:21:45.368508 : Epoch  5, Batch    133, Loss  0.858906, Average Loss  0.869799, Time  0.262959
2021-09-15 14:21:48.363002 : Epoch  5, Batch    134, Loss  0.889509, Average Loss  0.869890, Time  0.263411
2021-09-15 14:21:51.356250 : Epoch  5, Batch    135, Loss  0.879412, Average Loss  0.869773, Time  0.263231
2021-09-15 14:21:54.355727 : Epoch  5, Batch    136, Loss  0.870994, Average Loss  0.869776, Time  0.263084
2021-09-15 14:21:57.361704 : Epoch  5, Batch    137, Loss  0.868478, Average Loss  0.869857, Time  0.263368
2021-09-15 14:22:00.390788 : Epoch  5, Batch    138, Loss  0.844827, Average Loss  0.869597, Time  0.264226
2021-09-15 14:22:03.431678 : Epoch  5, Batch    139, Loss  0.891996, Average Loss  0.869729, Time  0.274626
2021-09-15 14:22:06.429988 : Epoch  5, Batch    140, Loss  0.851659, Average Loss  0.869649, Time  0.263836
2021-09-15 14:22:09.448010 : Epoch  5, Batch    141, Loss  0.867800, Average Loss  0.869680, Time  0.263272
2021-09-15 14:22:12.450195 : Epoch  5, Batch    142, Loss  0.861408, Average Loss  0.869562, Time  0.263999
2021-09-15 14:22:15.448908 : Epoch  5, Batch    143, Loss  0.866212, Average Loss  0.869604, Time  0.263330
2021-09-15 14:22:18.447072 : Epoch  5, Batch    144, Loss  0.866359, Average Loss  0.869513, Time  0.262794
2021-09-15 14:22:21.479448 : Epoch  5, Batch    145, Loss  0.884027, Average Loss  0.869568, Time  0.263769
2021-09-15 14:22:24.488639 : Epoch  5, Batch    146, Loss  0.868210, Average Loss  0.869598, Time  0.263397
2021-09-15 14:22:27.486466 : Epoch  5, Batch    147, Loss  0.858606, Average Loss  0.869644, Time  0.263392
2021-09-15 14:22:30.473419 : Epoch  5, Batch    148, Loss  0.865892, Average Loss  0.869691, Time  0.263552
2021-09-15 14:22:33.513282 : Epoch  5, Batch    149, Loss  0.871262, Average Loss  0.869689, Time  0.264336
2021-09-15 14:22:36.548136 : Epoch  5, Batch    150, Loss  0.870987, Average Loss  0.869647, Time  0.264115
2021-09-15 14:22:39.581256 : Epoch  5, Batch    151, Loss  0.863739, Average Loss  0.869579, Time  0.263028
2021-09-15 14:22:42.604753 : Epoch  5, Batch    152, Loss  0.879944, Average Loss  0.869712, Time  0.263940
2021-09-15 14:22:45.610119 : Epoch  5, Batch    153, Loss  0.859495, Average Loss  0.869578, Time  0.263976
2021-09-15 14:22:48.644736 : Epoch  5, Batch    154, Loss  0.888507, Average Loss  0.869734, Time  0.278077
2021-09-15 14:22:51.648599 : Epoch  5, Batch    155, Loss  0.873965, Average Loss  0.869753, Time  0.263936
2021-09-15 14:22:54.669574 : Epoch  5, Batch    156, Loss  0.882471, Average Loss  0.869816, Time  0.263604
2021-09-15 14:22:57.684155 : Epoch  5, Batch    157, Loss  0.875954, Average Loss  0.869751, Time  0.264308
2021-09-15 14:23:00.714550 : Epoch  5, Batch    158, Loss  0.880271, Average Loss  0.869792, Time  0.263611
2021-09-15 14:23:03.739414 : Epoch  5, Batch    159, Loss  0.862532, Average Loss  0.869674, Time  0.263695
2021-09-15 14:23:06.757863 : Epoch  5, Batch    160, Loss  0.882713, Average Loss  0.869791, Time  0.263822
2021-09-15 14:23:09.776379 : Epoch  5, Batch    161, Loss  0.880592, Average Loss  0.869778, Time  0.264611
2021-09-15 14:23:12.804040 : Epoch  5, Batch    162, Loss  0.871686, Average Loss  0.869817, Time  0.263619
2021-09-15 14:23:15.838298 : Epoch  5, Batch    163, Loss  0.839411, Average Loss  0.869678, Time  0.263879
2021-09-15 14:23:18.883387 : Epoch  5, Batch    164, Loss  0.854527, Average Loss  0.869605, Time  0.264508
2021-09-15 14:23:21.915792 : Epoch  5, Batch    165, Loss  0.863589, Average Loss  0.869444, Time  0.264017
2021-09-15 14:23:24.959708 : Epoch  5, Batch    166, Loss  0.883072, Average Loss  0.869574, Time  0.263514
2021-09-15 14:23:27.967531 : Epoch  5, Batch    167, Loss  0.886220, Average Loss  0.869604, Time  0.263567
2021-09-15 14:23:31.003435 : Epoch  5, Batch    168, Loss  0.881080, Average Loss  0.869730, Time  0.262971
2021-09-15 14:23:34.008656 : Epoch  5, Batch    169, Loss  0.871297, Average Loss  0.869814, Time  0.276167
2021-09-15 14:23:37.027930 : Epoch  5, Batch    170, Loss  0.882540, Average Loss  0.869970, Time  0.263302
2021-09-15 14:23:40.030756 : Epoch  5, Batch    171, Loss  0.878570, Average Loss  0.869969, Time  0.263051
2021-09-15 14:23:43.048414 : Epoch  5, Batch    172, Loss  0.873466, Average Loss  0.870041, Time  0.264042
2021-09-15 14:23:46.144031 : Epoch  5, Batch    173, Loss  0.872911, Average Loss  0.870112, Time  0.263059
2021-09-15 14:23:49.204477 : Epoch  5, Batch    174, Loss  0.853646, Average Loss  0.870121, Time  0.262907
2021-09-15 14:23:52.201971 : Epoch  5, Batch    175, Loss  0.877615, Average Loss  0.870146, Time  0.264046
2021-09-15 14:23:55.247054 : Epoch  5, Batch    176, Loss  0.869144, Average Loss  0.870110, Time  0.263764
2021-09-15 14:28:31.521598 : CheckPoint: Validation Loss  0.00031052, Best Loss  0.00029096
2021-09-15 14:28:34.514405 : Epoch  5, Batch    177, Loss  0.841645, Average Loss  0.869956, Time  0.264007
2021-09-15 14:28:37.519143 : Epoch  5, Batch    178, Loss  0.866411, Average Loss  0.869984, Time  0.262970
2021-09-15 14:28:40.510947 : Epoch  5, Batch    179, Loss  0.858463, Average Loss  0.869901, Time  0.262979
2021-09-15 14:28:43.503326 : Epoch  5, Batch    180, Loss  0.866554, Average Loss  0.869900, Time  0.263373
2021-09-15 14:28:46.528427 : Epoch  5, Batch    181, Loss  0.866067, Average Loss  0.869846, Time  0.263278
2021-09-15 14:28:49.536638 : Epoch  5, Batch    182, Loss  0.865773, Average Loss  0.869869, Time  0.263133
2021-09-15 14:28:52.549784 : Epoch  5, Batch    183, Loss  0.877815, Average Loss  0.869839, Time  0.263694
2021-09-15 14:28:55.545658 : Epoch  5, Batch    184, Loss  0.882354, Average Loss  0.869986, Time  0.263777
2021-09-15 14:28:58.586938 : Epoch  5, Batch    185, Loss  0.888657, Average Loss  0.870048, Time  0.274207
2021-09-15 14:29:01.592197 : Epoch  5, Batch    186, Loss  0.858836, Average Loss  0.870003, Time  0.263427
2021-09-15 14:29:04.608400 : Epoch  5, Batch    187, Loss  0.889754, Average Loss  0.870160, Time  0.263919
2021-09-15 14:29:07.608148 : Epoch  5, Batch    188, Loss  0.870283, Average Loss  0.870201, Time  0.264358
2021-09-15 14:29:10.600759 : Epoch  5, Batch    189, Loss  0.845332, Average Loss  0.870175, Time  0.263700
2021-09-15 14:29:13.592852 : Epoch  5, Batch    190, Loss  0.892086, Average Loss  0.870362, Time  0.263468
2021-09-15 14:29:16.587839 : Epoch  5, Batch    191, Loss  0.863411, Average Loss  0.870289, Time  0.265259
2021-09-15 14:29:19.588049 : Epoch  5, Batch    192, Loss  0.846551, Average Loss  0.870106, Time  0.263369
2021-09-15 14:29:22.616067 : Epoch  5, Batch    193, Loss  0.886750, Average Loss  0.870229, Time  0.263995
2021-09-15 14:29:25.619541 : Epoch  5, Batch    194, Loss  0.875761, Average Loss  0.870300, Time  0.263694
2021-09-15 14:29:28.619357 : Epoch  5, Batch    195, Loss  0.898668, Average Loss  0.870560, Time  0.263820
2021-09-15 14:29:31.614668 : Epoch  5, Batch    196, Loss  0.872082, Average Loss  0.870562, Time  0.264338
2021-09-15 14:29:34.638379 : Epoch  5, Batch    197, Loss  0.866300, Average Loss  0.870600, Time  0.262844
2021-09-15 14:29:37.638574 : Epoch  5, Batch    198, Loss  0.907076, Average Loss  0.870792, Time  0.264418
2021-09-15 14:29:40.650508 : Epoch  5, Batch    199, Loss  0.869907, Average Loss  0.870812, Time  0.263478
2021-09-15 14:29:43.646214 : Epoch  5, Batch    200, Loss  0.865515, Average Loss  0.870785, Time  0.275467
2021-09-15 14:29:46.641052 : Epoch  5, Batch    201, Loss  0.877881, Average Loss  0.870826, Time  0.264799
2021-09-15 14:29:49.658479 : Epoch  5, Batch    202, Loss  0.876690, Average Loss  0.870743, Time  0.265502
2021-09-15 14:29:52.711530 : Epoch  5, Batch    203, Loss  0.854130, Average Loss  0.870672, Time  0.264158
2021-09-15 14:29:55.727066 : Epoch  5, Batch    204, Loss  0.886770, Average Loss  0.870849, Time  0.263395
2021-09-15 14:29:58.715520 : Epoch  5, Batch    205, Loss  0.879821, Average Loss  0.870918, Time  0.262900
2021-09-15 14:30:01.705049 : Epoch  5, Batch    206, Loss  0.861106, Average Loss  0.870871, Time  0.263507
2021-09-15 14:30:04.699521 : Epoch  5, Batch    207, Loss  0.880199, Average Loss  0.870843, Time  0.264432
2021-09-15 14:30:07.693199 : Epoch  5, Batch    208, Loss  0.864258, Average Loss  0.870814, Time  0.264997
2021-09-15 14:30:10.704696 : Epoch  5, Batch    209, Loss  0.846256, Average Loss  0.870684, Time  0.263727
2021-09-15 14:30:13.696070 : Epoch  5, Batch    210, Loss  0.858119, Average Loss  0.870627, Time  0.265107
2021-09-15 14:30:16.681771 : Epoch  5, Batch    211, Loss  0.860732, Average Loss  0.870567, Time  0.263509
2021-09-15 14:30:19.684618 : Epoch  5, Batch    212, Loss  0.880686, Average Loss  0.870552, Time  0.263611
2021-09-15 14:30:22.685473 : Epoch  5, Batch    213, Loss  0.857318, Average Loss  0.870439, Time  0.263117
2021-09-15 14:30:25.684723 : Epoch  5, Batch    214, Loss  0.863805, Average Loss  0.870417, Time  0.263270
2021-09-15 14:30:28.718678 : Epoch  5, Batch    215, Loss  0.873776, Average Loss  0.870534, Time  0.273520
2021-09-15 14:30:31.722429 : Epoch  5, Batch    216, Loss  0.868737, Average Loss  0.870554, Time  0.263189
2021-09-15 14:30:34.738709 : Epoch  5, Batch    217, Loss  0.870422, Average Loss  0.870564, Time  0.263300
2021-09-15 14:30:37.735060 : Epoch  5, Batch    218, Loss  0.879708, Average Loss  0.870546, Time  0.263906
2021-09-15 14:30:40.727150 : Epoch  5, Batch    219, Loss  0.884600, Average Loss  0.870608, Time  0.263347
2021-09-15 14:30:43.718493 : Epoch  5, Batch    220, Loss  0.879122, Average Loss  0.870699, Time  0.263973
2021-09-15 14:30:46.728153 : Epoch  5, Batch    221, Loss  0.861156, Average Loss  0.870566, Time  0.263589
2021-09-15 14:30:49.735032 : Epoch  5, Batch    222, Loss  0.860110, Average Loss  0.870406, Time  0.264128
2021-09-15 14:30:52.745893 : Epoch  5, Batch    223, Loss  0.856188, Average Loss  0.870373, Time  0.264039
2021-09-15 14:30:55.745847 : Epoch  5, Batch    224, Loss  0.878377, Average Loss  0.870357, Time  0.263132
2021-09-15 14:30:58.757319 : Epoch  5, Batch    225, Loss  0.878754, Average Loss  0.870452, Time  0.263575
2021-09-15 14:31:01.772974 : Epoch  5, Batch    226, Loss  0.853683, Average Loss  0.870395, Time  0.263987
2021-09-15 14:31:04.794226 : Epoch  5, Batch    227, Loss  0.841262, Average Loss  0.870275, Time  0.264310
2021-09-15 14:31:07.808581 : Epoch  5, Batch    228, Loss  0.846731, Average Loss  0.870099, Time  0.263142
2021-09-15 14:31:10.834150 : Epoch  5, Batch    229, Loss  0.863770, Average Loss  0.870037, Time  0.264370
2021-09-15 14:31:13.872795 : Epoch  5, Batch    230, Loss  0.875585, Average Loss  0.870016, Time  0.277280
2021-09-15 14:31:16.900240 : Epoch  5, Batch    231, Loss  0.876597, Average Loss  0.870005, Time  0.264614
2021-09-15 14:31:19.928848 : Epoch  5, Batch    232, Loss  0.882247, Average Loss  0.870116, Time  0.264097
2021-09-15 14:31:22.924482 : Epoch  5, Batch    233, Loss  0.866018, Average Loss  0.870108, Time  0.263479
2021-09-15 14:31:25.936218 : Epoch  5, Batch    234, Loss  0.859445, Average Loss  0.870182, Time  0.264139
2021-09-15 14:31:28.930638 : Epoch  5, Batch    235, Loss  0.857428, Average Loss  0.870052, Time  0.265196
2021-09-15 14:31:32.013741 : Epoch  5, Batch    236, Loss  0.864010, Average Loss  0.870100, Time  0.265085
2021-09-15 14:31:35.028978 : Epoch  5, Batch    237, Loss  0.875074, Average Loss  0.870205, Time  0.263241
2021-09-15 14:31:38.023429 : Epoch  5, Batch    238, Loss  0.880599, Average Loss  0.870126, Time  0.263698
2021-09-15 14:31:41.055124 : Epoch  5, Batch    239, Loss  0.866550, Average Loss  0.870165, Time  0.263041
2021-09-15 14:31:44.050310 : Epoch  5, Batch    240, Loss  0.882263, Average Loss  0.870292, Time  0.264307
2021-09-15 14:31:47.046649 : Epoch  5, Batch    241, Loss  0.868531, Average Loss  0.870381, Time  0.264516
2021-09-15 14:31:50.053385 : Epoch  5, Batch    242, Loss  0.878001, Average Loss  0.870422, Time  0.262937
2021-09-15 14:31:53.052279 : Epoch  5, Batch    243, Loss  0.885855, Average Loss  0.870493, Time  0.264204
2021-09-15 14:31:56.085812 : Epoch  5, Batch    244, Loss  0.871223, Average Loss  0.870440, Time  0.263434
2021-09-15 14:31:59.089023 : Epoch  5, Batch    245, Loss  0.869280, Average Loss  0.870429, Time  0.273098
2021-09-15 14:32:02.109649 : Epoch  5, Batch    246, Loss  0.877437, Average Loss  0.870478, Time  0.263450
2021-09-15 14:32:05.100013 : Epoch  5, Batch    247, Loss  0.877636, Average Loss  0.870644, Time  0.263754
2021-09-15 14:32:08.097702 : Epoch  5, Batch    248, Loss  0.837965, Average Loss  0.870556, Time  0.264110
2021-09-15 14:32:11.101856 : Epoch  5, Batch    249, Loss  0.870639, Average Loss  0.870655, Time  0.263403
2021-09-15 14:32:14.198690 : Epoch  5, Batch    250, Loss  0.873804, Average Loss  0.870666, Time  0.263907
2021-09-15 14:32:17.192411 : Epoch  5, Batch    251, Loss  0.886334, Average Loss  0.870761, Time  0.262577
2021-09-15 14:32:20.193405 : Epoch  5, Batch    252, Loss  0.865752, Average Loss  0.870679, Time  0.264878
2021-09-15 14:32:23.182702 : Epoch  5, Batch    253, Loss  0.867002, Average Loss  0.870693, Time  0.263477
2021-09-15 14:32:26.175217 : Epoch  5, Batch    254, Loss  0.869733, Average Loss  0.870633, Time  0.262951
2021-09-15 14:32:29.173479 : Epoch  5, Batch    255, Loss  0.886385, Average Loss  0.870788, Time  0.264540
2021-09-15 14:32:32.195692 : Epoch  5, Batch    256, Loss  0.871499, Average Loss  0.870888, Time  0.264282
2021-09-15 14:32:35.208145 : Epoch  5, Batch    257, Loss  0.871837, Average Loss  0.870864, Time  0.263005
2021-09-15 14:32:38.189909 : Epoch  5, Batch    258, Loss  0.863093, Average Loss  0.870798, Time  0.262972
2021-09-15 14:32:41.158497 : Epoch  5, Batch    259, Loss  0.873805, Average Loss  0.870731, Time  0.263623
2021-09-15 14:32:44.173169 : Epoch  5, Batch    260, Loss  0.881793, Average Loss  0.870849, Time  0.276629
2021-09-15 14:32:47.140412 : Epoch  5, Batch    261, Loss  0.883163, Average Loss  0.871036, Time  0.263278
2021-09-15 14:32:50.106911 : Epoch  5, Batch    262, Loss  0.871713, Average Loss  0.870957, Time  0.261947
2021-09-15 14:32:53.069754 : Epoch  5, Batch    263, Loss  0.881124, Average Loss  0.871069, Time  0.262903
2021-09-15 14:32:56.044290 : Epoch  5, Batch    264, Loss  0.859487, Average Loss  0.870954, Time  0.264755
2021-09-15 14:32:59.051464 : Epoch  5, Batch    265, Loss  0.850538, Average Loss  0.870752, Time  0.263465
2021-09-15 14:33:02.053319 : Epoch  5, Batch    266, Loss  0.844368, Average Loss  0.870531, Time  0.263840
2021-09-15 14:33:05.073825 : Epoch  5, Batch    267, Loss  0.894030, Average Loss  0.870657, Time  0.263870
2021-09-15 14:33:08.049543 : Epoch  5, Batch    268, Loss  0.865670, Average Loss  0.870684, Time  0.264148
2021-09-15 14:33:11.026872 : Epoch  5, Batch    269, Loss  0.882223, Average Loss  0.870823, Time  0.263846
2021-09-15 14:33:13.991409 : Epoch  5, Batch    270, Loss  0.873781, Average Loss  0.870860, Time  0.263048
2021-09-15 14:33:16.987162 : Epoch  5, Batch    271, Loss  0.876503, Average Loss  0.870909, Time  0.263104
2021-09-15 14:33:19.953936 : Epoch  5, Batch    272, Loss  0.876171, Average Loss  0.870946, Time  0.263914
2021-09-15 14:33:22.923598 : Epoch  5, Batch    273, Loss  0.883480, Average Loss  0.871024, Time  0.264404
2021-09-15 14:33:25.935104 : Epoch  5, Batch    274, Loss  0.875407, Average Loss  0.871098, Time  0.264123
2021-09-15 14:33:28.934717 : Epoch  5, Batch    275, Loss  0.884861, Average Loss  0.871220, Time  0.276527
2021-09-15 14:33:31.912913 : Epoch  5, Batch    276, Loss  0.853743, Average Loss  0.871111, Time  0.264366
2021-09-15 14:38:10.341544 : CheckPoint: Validation Loss  0.00031088, Best Loss  0.00029096
2021-09-15 14:38:13.367008 : Epoch  5, Batch    277, Loss  0.884516, Average Loss  0.871222, Time  0.264458
2021-09-15 14:38:16.379422 : Epoch  5, Batch    278, Loss  0.883147, Average Loss  0.871233, Time  0.263246
2021-09-15 14:38:19.365825 : Epoch  5, Batch    279, Loss  0.845843, Average Loss  0.871087, Time  0.263487
2021-09-15 14:38:22.357108 : Epoch  5, Batch    280, Loss  0.871804, Average Loss  0.871119, Time  0.263143
2021-09-15 14:38:25.363029 : Epoch  5, Batch    281, Loss  0.864001, Average Loss  0.871145, Time  0.261931
2021-09-15 14:38:28.326324 : Epoch  5, Batch    282, Loss  0.843343, Average Loss  0.871032, Time  0.263479
2021-09-15 14:38:31.339480 : Epoch  5, Batch    283, Loss  0.864685, Average Loss  0.870939, Time  0.263551
2021-09-15 14:38:34.322698 : Epoch  5, Batch    284, Loss  0.866951, Average Loss  0.870828, Time  0.263254
2021-09-15 14:38:37.299031 : Epoch  5, Batch    285, Loss  0.880268, Average Loss  0.870837, Time  0.262997
2021-09-15 14:38:40.264133 : Epoch  5, Batch    286, Loss  0.853882, Average Loss  0.870755, Time  0.262934
2021-09-15 14:38:43.248270 : Epoch  5, Batch    287, Loss  0.861256, Average Loss  0.870713, Time  0.264791
2021-09-15 14:38:46.250389 : Epoch  5, Batch    288, Loss  0.883665, Average Loss  0.870800, Time  0.264936
2021-09-15 14:38:49.270933 : Epoch  5, Batch    289, Loss  0.882884, Average Loss  0.870986, Time  0.277482
2021-09-15 14:38:52.268694 : Epoch  5, Batch    290, Loss  0.878475, Average Loss  0.870907, Time  0.264244
2021-09-15 14:38:55.256547 : Epoch  5, Batch    291, Loss  0.866294, Average Loss  0.870891, Time  0.263680
2021-09-15 14:38:58.232213 : Epoch  5, Batch    292, Loss  0.871744, Average Loss  0.870799, Time  0.264213
2021-09-15 14:39:01.231562 : Epoch  5, Batch    293, Loss  0.847707, Average Loss  0.870644, Time  0.263185
2021-09-15 14:39:04.212502 : Epoch  5, Batch    294, Loss  0.873077, Average Loss  0.870670, Time  0.263463
2021-09-15 14:39:07.186630 : Epoch  5, Batch    295, Loss  0.875872, Average Loss  0.870767, Time  0.264072
2021-09-15 14:39:10.179070 : Epoch  5, Batch    296, Loss  0.869475, Average Loss  0.870823, Time  0.263253
2021-09-15 14:39:13.157646 : Epoch  5, Batch    297, Loss  0.866536, Average Loss  0.870742, Time  0.263326
2021-09-15 14:39:16.190525 : Epoch  5, Batch    298, Loss  0.848072, Average Loss  0.870690, Time  0.263151
2021-09-15 14:39:19.216144 : Epoch  5, Batch    299, Loss  0.871516, Average Loss  0.870670, Time  0.263313
2021-09-15 14:39:22.189528 : Epoch  5, Batch    300, Loss  0.866705, Average Loss  0.870613, Time  0.263721
2021-09-15 14:39:25.178744 : Epoch  5, Batch    301, Loss  0.891344, Average Loss  0.870643, Time  0.263975
2021-09-15 14:39:28.183840 : Epoch  5, Batch    302, Loss  0.855507, Average Loss  0.870471, Time  0.263806
2021-09-15 14:39:31.170291 : Epoch  5, Batch    303, Loss  0.851947, Average Loss  0.870451, Time  0.262975
2021-09-15 14:39:34.149304 : Epoch  5, Batch    304, Loss  0.863846, Average Loss  0.870490, Time  0.272241
2021-09-15 14:39:37.131053 : Epoch  5, Batch    305, Loss  0.866477, Average Loss  0.870424, Time  0.264616
2021-09-15 14:39:40.110449 : Epoch  5, Batch    306, Loss  0.866605, Average Loss  0.870429, Time  0.263602
2021-09-15 14:39:43.108367 : Epoch  5, Batch    307, Loss  0.882481, Average Loss  0.870484, Time  0.263754
2021-09-15 14:39:46.131333 : Epoch  5, Batch    308, Loss  0.860579, Average Loss  0.870520, Time  0.265147
2021-09-15 14:39:49.141352 : Epoch  5, Batch    309, Loss  0.861098, Average Loss  0.870529, Time  0.264361
2021-09-15 14:39:52.131706 : Epoch  5, Batch    310, Loss  0.879410, Average Loss  0.870499, Time  0.263890
2021-09-15 14:39:55.099038 : Epoch  5, Batch    311, Loss  0.873181, Average Loss  0.870481, Time  0.262921
2021-09-15 14:39:58.035069 : Epoch  5, Batch    312, Loss  0.875200, Average Loss  0.870432, Time  0.263887
2021-09-15 14:40:01.025432 : Epoch  5, Batch    313, Loss  0.842750, Average Loss  0.870245, Time  0.263701
2021-09-15 14:40:04.036185 : Epoch  5, Batch    314, Loss  0.865523, Average Loss  0.870196, Time  0.263223
2021-09-15 14:40:07.015319 : Epoch  5, Batch    315, Loss  0.877789, Average Loss  0.870222, Time  0.262987
2021-09-15 14:40:09.989299 : Epoch  5, Batch    316, Loss  0.869223, Average Loss  0.870173, Time  0.263385
2021-09-15 14:40:12.961363 : Epoch  5, Batch    317, Loss  0.878072, Average Loss  0.870050, Time  0.262939
2021-09-15 14:40:15.971094 : Epoch  5, Batch    318, Loss  0.876145, Average Loss  0.870159, Time  0.263870
2021-09-15 14:40:18.973947 : Epoch  5, Batch    319, Loss  0.873946, Average Loss  0.870057, Time  0.270520
2021-09-15 14:40:22.004527 : Epoch  5, Batch    320, Loss  0.860941, Average Loss  0.870018, Time  0.263244
2021-09-15 14:40:24.989247 : Epoch  5, Batch    321, Loss  0.876558, Average Loss  0.870100, Time  0.263350
2021-09-15 14:40:27.979149 : Epoch  5, Batch    322, Loss  0.871773, Average Loss  0.870226, Time  0.264806
2021-09-15 14:40:30.962082 : Epoch  5, Batch    323, Loss  0.883291, Average Loss  0.870329, Time  0.263006
2021-09-15 14:40:33.942056 : Epoch  5, Batch    324, Loss  0.871078, Average Loss  0.870387, Time  0.264306
2021-09-15 14:40:36.931969 : Epoch  5, Batch    325, Loss  0.864349, Average Loss  0.870391, Time  0.264439
2021-09-15 14:40:39.940735 : Epoch  5, Batch    326, Loss  0.863571, Average Loss  0.870331, Time  0.264137
2021-09-15 14:40:42.955130 : Epoch  5, Batch    327, Loss  0.874999, Average Loss  0.870311, Time  0.264085
2021-09-15 14:40:45.934192 : Epoch  5, Batch    328, Loss  0.867562, Average Loss  0.870233, Time  0.263435
2021-09-15 14:40:48.925126 : Epoch  5, Batch    329, Loss  0.862574, Average Loss  0.870136, Time  0.264185
2021-09-15 14:40:51.931915 : Epoch  5, Batch    330, Loss  0.865075, Average Loss  0.870180, Time  0.263409
2021-09-15 14:40:54.907543 : Epoch  5, Batch    331, Loss  0.880404, Average Loss  0.870286, Time  0.263900
2021-09-15 14:40:57.937111 : Epoch  5, Batch    332, Loss  0.835096, Average Loss  0.869958, Time  0.263609
2021-09-15 14:41:00.913516 : Epoch  5, Batch    333, Loss  0.860257, Average Loss  0.869964, Time  0.262637
2021-09-15 14:41:03.861750 : Epoch  5, Batch    334, Loss  0.887545, Average Loss  0.869955, Time  0.274195
2021-09-15 14:41:06.858445 : Epoch  5, Batch    335, Loss  0.892326, Average Loss  0.870019, Time  0.264161
2021-09-15 14:41:09.882224 : Epoch  5, Batch    336, Loss  0.873330, Average Loss  0.870031, Time  0.264058
2021-09-15 14:41:12.844418 : Epoch  5, Batch    337, Loss  0.860206, Average Loss  0.869989, Time  0.262991
2021-09-15 14:41:15.843087 : Epoch  5, Batch    338, Loss  0.865744, Average Loss  0.870094, Time  0.264075
2021-09-15 14:41:18.811408 : Epoch  5, Batch    339, Loss  0.883243, Average Loss  0.870050, Time  0.263471
2021-09-15 14:41:21.804673 : Epoch  5, Batch    340, Loss  0.851955, Average Loss  0.870052, Time  0.264246
2021-09-15 14:41:24.781127 : Epoch  5, Batch    341, Loss  0.869466, Average Loss  0.870060, Time  0.263848
2021-09-15 14:41:27.785151 : Epoch  5, Batch    342, Loss  0.860925, Average Loss  0.870058, Time  0.263618
2021-09-15 14:41:30.792927 : Epoch  5, Batch    343, Loss  0.852568, Average Loss  0.869989, Time  0.263527
2021-09-15 14:41:33.768363 : Epoch  5, Batch    344, Loss  0.879546, Average Loss  0.870055, Time  0.263302
2021-09-15 14:41:36.743822 : Epoch  5, Batch    345, Loss  0.873644, Average Loss  0.870003, Time  0.263231
2021-09-15 14:41:39.729033 : Epoch  5, Batch    346, Loss  0.868425, Average Loss  0.870004, Time  0.263600
2021-09-15 14:41:42.717287 : Epoch  5, Batch    347, Loss  0.869156, Average Loss  0.870057, Time  0.263156
2021-09-15 14:41:45.695883 : Epoch  5, Batch    348, Loss  0.864115, Average Loss  0.870048, Time  0.263807
2021-09-15 14:41:48.680539 : Epoch  5, Batch    349, Loss  0.866143, Average Loss  0.870023, Time  0.265717
2021-09-15 14:41:51.696495 : Epoch  5, Batch    350, Loss  0.872464, Average Loss  0.870030, Time  0.272169
2021-09-15 14:41:54.674042 : Epoch  5, Batch    351, Loss  0.880668, Average Loss  0.870115, Time  0.263650
2021-09-15 14:41:57.675846 : Epoch  5, Batch    352, Loss  0.866637, Average Loss  0.870048, Time  0.263746
2021-09-15 14:42:00.645017 : Epoch  5, Batch    353, Loss  0.851052, Average Loss  0.870006, Time  0.263212
2021-09-15 14:42:03.634305 : Epoch  5, Batch    354, Loss  0.888375, Average Loss  0.870005, Time  0.263256
2021-09-15 14:42:06.603937 : Epoch  5, Batch    355, Loss  0.884438, Average Loss  0.870058, Time  0.264404
2021-09-15 14:42:09.595563 : Epoch  5, Batch    356, Loss  0.865649, Average Loss  0.869974, Time  0.262700
2021-09-15 14:42:12.580780 : Epoch  5, Batch    357, Loss  0.858124, Average Loss  0.869884, Time  0.263309
2021-09-15 14:42:15.570478 : Epoch  5, Batch    358, Loss  0.875053, Average Loss  0.869858, Time  0.264241
2021-09-15 14:42:18.569244 : Epoch  5, Batch    359, Loss  0.873687, Average Loss  0.869914, Time  0.263299
2021-09-15 14:42:21.542909 : Epoch  5, Batch    360, Loss  0.865007, Average Loss  0.869826, Time  0.264275
2021-09-15 14:42:24.526978 : Epoch  5, Batch    361, Loss  0.870931, Average Loss  0.869777, Time  0.263729
2021-09-15 14:42:27.559543 : Epoch  5, Batch    362, Loss  0.885549, Average Loss  0.869847, Time  0.264888
2021-09-15 14:42:30.624593 : Epoch  5, Batch    363, Loss  0.856762, Average Loss  0.869933, Time  0.263286
2021-09-15 14:42:33.602972 : Epoch  5, Batch    364, Loss  0.859148, Average Loss  0.869957, Time  0.263753
2021-09-15 14:42:36.598738 : Epoch  5, Batch    365, Loss  0.866390, Average Loss  0.869971, Time  0.276468
2021-09-15 14:42:39.589861 : Epoch  5, Batch    366, Loss  0.874462, Average Loss  0.869927, Time  0.264868
2021-09-15 14:42:42.497939 : Epoch  5, Batch    367, Loss  0.864341, Average Loss  0.869818, Time  0.263898
2021-09-15 14:42:45.473319 : Epoch  5, Batch    368, Loss  0.873166, Average Loss  0.869778, Time  0.263103
2021-09-15 14:42:48.450638 : Epoch  5, Batch    369, Loss  0.874622, Average Loss  0.869795, Time  0.263528
2021-09-15 14:42:51.442259 : Epoch  5, Batch    370, Loss  0.873811, Average Loss  0.869751, Time  0.262834
2021-09-15 14:42:54.413346 : Epoch  5, Batch    371, Loss  0.876123, Average Loss  0.869739, Time  0.263021
2021-09-15 14:42:57.379039 : Epoch  5, Batch    372, Loss  0.853072, Average Loss  0.869637, Time  0.263184
2021-09-15 14:43:00.380592 : Epoch  5, Batch    373, Loss  0.884659, Average Loss  0.869696, Time  0.264527
2021-09-15 14:43:03.383449 : Epoch  5, Batch    374, Loss  0.860057, Average Loss  0.869728, Time  0.263828
2021-09-15 14:43:06.381258 : Epoch  5, Batch    375, Loss  0.853473, Average Loss  0.869607, Time  0.263500
2021-09-15 14:43:09.351835 : Epoch  5, Batch    376, Loss  0.876559, Average Loss  0.869644, Time  0.263206
2021-09-15 14:47:45.828663 : CheckPoint: Validation Loss  0.00029623, Best Loss  0.00029096
2021-09-15 14:47:48.853654 : Epoch  5, Batch    377, Loss  0.858629, Average Loss  0.869729, Time  0.264060
2021-09-15 14:47:51.827564 : Epoch  5, Batch    378, Loss  0.870157, Average Loss  0.869748, Time  0.263135
2021-09-15 14:47:54.811114 : Epoch  5, Batch    379, Loss  0.867811, Average Loss  0.869795, Time  0.264193
2021-09-15 14:47:57.777470 : Epoch  5, Batch    380, Loss  0.864635, Average Loss  0.869785, Time  0.263703
2021-09-15 14:48:00.754540 : Epoch  5, Batch    381, Loss  0.868394, Average Loss  0.869797, Time  0.263216
2021-09-15 14:48:03.737508 : Epoch  5, Batch    382, Loss  0.869200, Average Loss  0.869814, Time  0.271970
2021-09-15 14:48:06.690253 : Epoch  5, Batch    383, Loss  0.896464, Average Loss  0.869907, Time  0.261993
2021-09-15 14:48:09.675728 : Epoch  5, Batch    384, Loss  0.874350, Average Loss  0.869867, Time  0.262884
2021-09-15 14:48:12.664877 : Epoch  5, Batch    385, Loss  0.850838, Average Loss  0.869678, Time  0.263047
2021-09-15 14:48:15.639076 : Epoch  5, Batch    386, Loss  0.869987, Average Loss  0.869734, Time  0.263391
2021-09-15 14:48:18.618493 : Epoch  5, Batch    387, Loss  0.845272, Average Loss  0.869511, Time  0.263275
2021-09-15 14:48:21.590816 : Epoch  5, Batch    388, Loss  0.897701, Average Loss  0.869649, Time  0.264074
2021-09-15 14:48:24.578919 : Epoch  5, Batch    389, Loss  0.879974, Average Loss  0.869822, Time  0.263817
2021-09-15 14:48:27.576957 : Epoch  5, Batch    390, Loss  0.862296, Average Loss  0.869673, Time  0.264539
2021-09-15 14:48:30.552814 : Epoch  5, Batch    391, Loss  0.881514, Average Loss  0.869763, Time  0.265139
2021-09-15 14:48:33.537377 : Epoch  5, Batch    392, Loss  0.844884, Average Loss  0.869755, Time  0.263393
2021-09-15 14:48:36.523185 : Epoch  5, Batch    393, Loss  0.858605, Average Loss  0.869614, Time  0.264052
2021-09-15 14:48:39.504885 : Epoch  5, Batch    394, Loss  0.860621, Average Loss  0.869539, Time  0.263067
2021-09-15 14:48:42.520711 : Epoch  5, Batch    395, Loss  0.870541, Average Loss  0.869398, Time  0.264527
2021-09-15 14:48:45.511834 : Epoch  5, Batch    396, Loss  0.865458, Average Loss  0.869365, Time  0.264628
2021-09-15 14:48:48.527915 : Epoch  5, Batch    397, Loss  0.870454, Average Loss  0.869386, Time  0.271515
2021-09-15 14:48:51.507744 : Epoch  5, Batch    398, Loss  0.859739, Average Loss  0.869149, Time  0.263285
2021-09-15 14:48:54.471929 : Epoch  5, Batch    399, Loss  0.828973, Average Loss  0.868944, Time  0.263283
2021-09-15 14:48:57.439639 : Epoch  5, Batch    400, Loss  0.863028, Average Loss  0.868932, Time  0.263986
2021-09-15 14:49:00.406355 : Epoch  5, Batch    401, Loss  0.866174, Average Loss  0.868873, Time  0.263177
2021-09-15 14:49:03.371392 : Epoch  5, Batch    402, Loss  0.873058, Average Loss  0.868855, Time  0.264091
2021-09-15 14:49:06.325905 : Epoch  5, Batch    403, Loss  0.854275, Average Loss  0.868856, Time  0.262845
2021-09-15 14:49:09.316112 : Epoch  5, Batch    404, Loss  0.870559, Average Loss  0.868775, Time  0.264902
2021-09-15 14:49:12.313509 : Epoch  5, Batch    405, Loss  0.863548, Average Loss  0.868693, Time  0.264111
2021-09-15 14:49:15.315312 : Epoch  5, Batch    406, Loss  0.884674, Average Loss  0.868811, Time  0.263756
2021-09-15 14:49:18.308942 : Epoch  5, Batch    407, Loss  0.856122, Average Loss  0.868691, Time  0.264356
2021-09-15 14:49:21.277398 : Epoch  5, Batch    408, Loss  0.863284, Average Loss  0.868686, Time  0.264100
2021-09-15 14:49:24.279196 : Epoch  5, Batch    409, Loss  0.847822, Average Loss  0.868694, Time  0.263589
2021-09-15 14:49:27.260822 : Epoch  5, Batch    410, Loss  0.876638, Average Loss  0.868786, Time  0.263217
2021-09-15 14:49:30.253411 : Epoch  5, Batch    411, Loss  0.861122, Average Loss  0.868788, Time  0.263605
2021-09-15 14:49:33.260301 : Epoch  5, Batch    412, Loss  0.874398, Average Loss  0.868757, Time  0.274391
2021-09-15 14:49:36.231021 : Epoch  5, Batch    413, Loss  0.878350, Average Loss  0.868862, Time  0.264137
2021-09-15 14:49:39.219010 : Epoch  5, Batch    414, Loss  0.888067, Average Loss  0.868983, Time  0.264739
2021-09-15 14:49:42.201596 : Epoch  5, Batch    415, Loss  0.860521, Average Loss  0.868917, Time  0.262989
2021-09-15 14:49:45.176836 : Epoch  5, Batch    416, Loss  0.867002, Average Loss  0.868908, Time  0.264768
2021-09-15 14:49:48.150537 : Epoch  5, Batch    417, Loss  0.868358, Average Loss  0.868898, Time  0.263759
2021-09-15 14:49:51.143781 : Epoch  5, Batch    418, Loss  0.872272, Average Loss  0.868861, Time  0.264716
2021-09-15 14:49:54.115028 : Epoch  5, Batch    419, Loss  0.867801, Average Loss  0.868777, Time  0.263283
2021-09-15 14:49:57.097458 : Epoch  5, Batch    420, Loss  0.870543, Average Loss  0.868734, Time  0.264016
2021-09-15 14:50:00.102406 : Epoch  5, Batch    421, Loss  0.840303, Average Loss  0.868630, Time  0.264862
2021-09-15 14:50:03.107132 : Epoch  5, Batch    422, Loss  0.857526, Average Loss  0.868617, Time  0.263601
2021-09-15 14:50:06.084666 : Epoch  5, Batch    423, Loss  0.865605, Average Loss  0.868664, Time  0.263097
2021-09-15 14:50:09.070433 : Epoch  5, Batch    424, Loss  0.879159, Average Loss  0.868668, Time  0.264065
2021-09-15 14:50:12.064767 : Epoch  5, Batch    425, Loss  0.894079, Average Loss  0.868745, Time  0.263273
2021-09-15 14:50:15.031214 : Epoch  5, Batch    426, Loss  0.875406, Average Loss  0.868853, Time  0.262790
2021-09-15 14:50:18.015782 : Epoch  5, Batch    427, Loss  0.867734, Average Loss  0.868985, Time  0.276165
2021-09-15 14:50:20.987111 : Epoch  5, Batch    428, Loss  0.905974, Average Loss  0.869282, Time  0.263138
2021-09-15 14:50:23.947857 : Epoch  5, Batch    429, Loss  0.874285, Average Loss  0.869334, Time  0.263139
2021-09-15 14:50:26.917463 : Epoch  5, Batch    430, Loss  0.847274, Average Loss  0.869193, Time  0.263955
2021-09-15 14:50:29.884944 : Epoch  5, Batch    431, Loss  0.867870, Average Loss  0.869149, Time  0.263124
2021-09-15 14:50:32.854616 : Epoch  5, Batch    432, Loss  0.856067, Average Loss  0.869018, Time  0.263966
2021-09-15 14:50:35.821672 : Epoch  5, Batch    433, Loss  0.892329, Average Loss  0.869150, Time  0.262432
2021-09-15 14:50:38.806581 : Epoch  5, Batch    434, Loss  0.879522, Average Loss  0.869250, Time  0.263130
2021-09-15 14:50:41.765864 : Epoch  5, Batch    435, Loss  0.871678, Average Loss  0.869321, Time  0.264188
2021-09-15 14:50:44.734063 : Epoch  5, Batch    436, Loss  0.862169, Average Loss  0.869312, Time  0.264047
2021-09-15 14:50:47.752437 : Epoch  5, Batch    437, Loss  0.886132, Average Loss  0.869367, Time  0.264314
2021-09-15 14:50:50.735880 : Epoch  5, Batch    438, Loss  0.870377, Average Loss  0.869316, Time  0.263437
2021-09-15 14:50:53.718408 : Epoch  5, Batch    439, Loss  0.878153, Average Loss  0.869374, Time  0.263161
2021-09-15 14:50:56.692948 : Epoch  5, Batch    440, Loss  0.847383, Average Loss  0.869200, Time  0.264304
2021-09-15 14:50:59.702403 : Epoch  5, Batch    441, Loss  0.864919, Average Loss  0.869182, Time  0.264100
2021-09-15 14:51:02.699835 : Epoch  5, Batch    442, Loss  0.856583, Average Loss  0.869075, Time  0.263031
2021-09-15 14:51:05.686246 : Epoch  5, Batch    443, Loss  0.866518, Average Loss  0.868978, Time  0.275225
2021-09-15 14:51:08.678975 : Epoch  5, Batch    444, Loss  0.865102, Average Loss  0.868948, Time  0.263383
2021-09-15 14:51:11.650472 : Epoch  5, Batch    445, Loss  0.894879, Average Loss  0.869076, Time  0.263379
2021-09-15 14:51:14.635084 : Epoch  5, Batch    446, Loss  0.878405, Average Loss  0.869080, Time  0.264163
2021-09-15 14:51:17.612694 : Epoch  5, Batch    447, Loss  0.862646, Average Loss  0.869005, Time  0.263303
2021-09-15 14:51:20.586069 : Epoch  5, Batch    448, Loss  0.883418, Average Loss  0.869233, Time  0.263030
2021-09-15 14:51:23.557975 : Epoch  5, Batch    449, Loss  0.857870, Average Loss  0.869169, Time  0.263079
2021-09-15 14:51:26.534421 : Epoch  5, Batch    450, Loss  0.866103, Average Loss  0.869130, Time  0.263439
2021-09-15 14:51:29.526755 : Epoch  5, Batch    451, Loss  0.882858, Average Loss  0.869113, Time  0.263886
2021-09-15 14:51:32.536851 : Epoch  5, Batch    452, Loss  0.856318, Average Loss  0.869066, Time  0.263788
2021-09-15 14:51:35.511936 : Epoch  5, Batch    453, Loss  0.870338, Average Loss  0.869082, Time  0.262811
2021-09-15 14:51:38.488458 : Epoch  5, Batch    454, Loss  0.884453, Average Loss  0.869156, Time  0.263299
2021-09-15 14:51:41.461083 : Epoch  5, Batch    455, Loss  0.875467, Average Loss  0.869101, Time  0.263360
2021-09-15 14:51:44.453486 : Epoch  5, Batch    456, Loss  0.883929, Average Loss  0.869164, Time  0.263883
2021-09-15 14:51:47.442001 : Epoch  5, Batch    457, Loss  0.860518, Average Loss  0.869107, Time  0.264160
2021-09-15 14:51:50.444319 : Epoch  5, Batch    458, Loss  0.860571, Average Loss  0.869094, Time  0.276325
2021-09-15 14:51:53.451013 : Epoch  5, Batch    459, Loss  0.873213, Average Loss  0.869091, Time  0.263363
2021-09-15 14:51:56.432614 : Epoch  5, Batch    460, Loss  0.886269, Average Loss  0.869114, Time  0.264746
2021-09-15 14:51:59.441176 : Epoch  5, Batch    461, Loss  0.880712, Average Loss  0.869102, Time  0.263342
2021-09-15 14:52:02.418535 : Epoch  5, Batch    462, Loss  0.886459, Average Loss  0.869175, Time  0.263448
2021-09-15 14:52:05.427723 : Epoch  5, Batch    463, Loss  0.876771, Average Loss  0.869154, Time  0.264051
2021-09-15 14:52:08.440324 : Epoch  5, Batch    464, Loss  0.860447, Average Loss  0.869158, Time  0.263238
2021-09-15 14:52:11.423676 : Epoch  5, Batch    465, Loss  0.866598, Average Loss  0.869239, Time  0.264457
2021-09-15 14:52:14.448968 : Epoch  5, Batch    466, Loss  0.878579, Average Loss  0.869410, Time  0.264661
2021-09-15 14:52:17.426846 : Epoch  5, Batch    467, Loss  0.865855, Average Loss  0.869269, Time  0.263288
2021-09-15 14:52:20.416850 : Epoch  5, Batch    468, Loss  0.872396, Average Loss  0.869302, Time  0.263841
2021-09-15 14:52:23.412406 : Epoch  5, Batch    469, Loss  0.869493, Average Loss  0.869239, Time  0.263380
2021-09-15 14:52:26.384117 : Epoch  5, Batch    470, Loss  0.853075, Average Loss  0.869135, Time  0.262914
2021-09-15 14:52:29.363503 : Epoch  5, Batch    471, Loss  0.871427, Average Loss  0.869110, Time  0.263053
2021-09-15 14:52:32.336866 : Epoch  5, Batch    472, Loss  0.902875, Average Loss  0.869243, Time  0.263082
2021-09-15 14:52:35.332458 : Epoch  5, Batch    473, Loss  0.862514, Average Loss  0.869139, Time  0.273916
2021-09-15 14:52:38.299665 : Epoch  5, Batch    474, Loss  0.860120, Average Loss  0.869062, Time  0.263311
2021-09-15 14:52:41.272391 : Epoch  5, Batch    475, Loss  0.873911, Average Loss  0.869007, Time  0.263688
2021-09-15 14:52:44.271979 : Epoch  5, Batch    476, Loss  0.892627, Average Loss  0.869202, Time  0.262945
2021-09-15 14:57:21.734574 : CheckPoint: Validation Loss  0.00029922, Best Loss  0.00029096
2021-09-15 14:57:24.738115 : Epoch  5, Batch    477, Loss  0.856948, Average Loss  0.869064, Time  0.263549
2021-09-15 14:57:27.660951 : Epoch  5, Batch    478, Loss  0.877067, Average Loss  0.869034, Time  0.263680
2021-09-15 14:57:30.655901 : Epoch  5, Batch    479, Loss  0.881889, Average Loss  0.869214, Time  0.264067
2021-09-15 14:57:33.659481 : Epoch  5, Batch    480, Loss  0.873424, Average Loss  0.869222, Time  0.264846
2021-09-15 14:57:36.634542 : Epoch  5, Batch    481, Loss  0.865189, Average Loss  0.869228, Time  0.263700
2021-09-15 14:57:39.608540 : Epoch  5, Batch    482, Loss  0.870737, Average Loss  0.869365, Time  0.263928
2021-09-15 14:57:42.592785 : Epoch  5, Batch    483, Loss  0.873488, Average Loss  0.869409, Time  0.264047
2021-09-15 14:57:45.606786 : Epoch  5, Batch    484, Loss  0.872684, Average Loss  0.869438, Time  0.264011
2021-09-15 14:57:48.608961 : Epoch  5, Batch    485, Loss  0.865122, Average Loss  0.869362, Time  0.263927
2021-09-15 14:57:51.610763 : Epoch  5, Batch    486, Loss  0.874075, Average Loss  0.869463, Time  0.263601
2021-09-15 14:57:54.631389 : Epoch  5, Batch    487, Loss  0.865880, Average Loss  0.869486, Time  0.273227
2021-09-15 14:57:57.637814 : Epoch  5, Batch    488, Loss  0.877895, Average Loss  0.869457, Time  0.263553
2021-09-15 14:58:00.627992 : Epoch  5, Batch    489, Loss  0.864921, Average Loss  0.869367, Time  0.264111
2021-09-15 14:58:03.602492 : Epoch  5, Batch    490, Loss  0.888782, Average Loss  0.869419, Time  0.263673
2021-09-15 14:58:06.577602 : Epoch  5, Batch    491, Loss  0.875103, Average Loss  0.869463, Time  0.264018
2021-09-15 14:58:09.554540 : Epoch  5, Batch    492, Loss  0.867316, Average Loss  0.869441, Time  0.263130
2021-09-15 14:58:12.552284 : Epoch  5, Batch    493, Loss  0.856573, Average Loss  0.869485, Time  0.263062
2021-09-15 14:58:15.532129 : Epoch  5, Batch    494, Loss  0.872461, Average Loss  0.869482, Time  0.263977
2021-09-15 14:58:18.532061 : Epoch  5, Batch    495, Loss  0.887156, Average Loss  0.869538, Time  0.263329
2021-09-15 14:58:21.504740 : Epoch  5, Batch    496, Loss  0.872085, Average Loss  0.869551, Time  0.262728
2021-09-15 14:58:24.480685 : Epoch  5, Batch    497, Loss  0.872421, Average Loss  0.869581, Time  0.263818
2021-09-15 14:58:27.483969 : Epoch  5, Batch    498, Loss  0.876942, Average Loss  0.869725, Time  0.263857
2021-09-15 14:58:30.445318 : Epoch  5, Batch    499, Loss  0.869533, Average Loss  0.869715, Time  0.263910
2021-09-15 14:58:33.431823 : Epoch  5, Batch    500, Loss  0.869936, Average Loss  0.869731, Time  0.264223
2021-09-15 14:58:36.410102 : Epoch  5, Batch    501, Loss  0.876280, Average Loss  0.869656, Time  0.263351
2021-09-15 14:58:39.391335 : Epoch  5, Batch    502, Loss  0.874061, Average Loss  0.869749, Time  0.275159
2021-09-15 14:58:42.374544 : Epoch  5, Batch    503, Loss  0.872123, Average Loss  0.869850, Time  0.264255
2021-09-15 14:58:45.379923 : Epoch  5, Batch    504, Loss  0.876259, Average Loss  0.869912, Time  0.263979
2021-09-15 14:58:48.360781 : Epoch  5, Batch    505, Loss  0.864717, Average Loss  0.869903, Time  0.264295
2021-09-15 14:58:51.350217 : Epoch  5, Batch    506, Loss  0.884222, Average Loss  0.869991, Time  0.264852
2021-09-15 14:58:54.346341 : Epoch  5, Batch    507, Loss  0.842298, Average Loss  0.869790, Time  0.263474
2021-09-15 14:58:57.324624 : Epoch  5, Batch    508, Loss  0.879783, Average Loss  0.869886, Time  0.263954
2021-09-15 14:59:00.282982 : Epoch  5, Batch    509, Loss  0.841003, Average Loss  0.869786, Time  0.263724
2021-09-15 14:59:03.269542 : Epoch  5, Batch    510, Loss  0.881679, Average Loss  0.869797, Time  0.263969
2021-09-15 14:59:06.287201 : Epoch  5, Batch    511, Loss  0.877443, Average Loss  0.869818, Time  0.264292
2021-09-15 14:59:09.299829 : Epoch  5, Batch    512, Loss  0.877040, Average Loss  0.869828, Time  0.264252
2021-09-15 14:59:12.272324 : Epoch  5, Batch    513, Loss  0.876843, Average Loss  0.869998, Time  0.264477
2021-09-15 14:59:15.275534 : Epoch  5, Batch    514, Loss  0.895904, Average Loss  0.870150, Time  0.263613
2021-09-15 14:59:18.239727 : Epoch  5, Batch    515, Loss  0.879372, Average Loss  0.870158, Time  0.263001
2021-09-15 14:59:21.229230 : Epoch  5, Batch    516, Loss  0.879244, Average Loss  0.870208, Time  0.264003
2021-09-15 14:59:24.225509 : Epoch  5, Batch    517, Loss  0.865456, Average Loss  0.870145, Time  0.273029
2021-09-15 14:59:27.224275 : Epoch  5, Batch    518, Loss  0.848374, Average Loss  0.870006, Time  0.263932
2021-09-15 14:59:30.195745 : Epoch  5, Batch    519, Loss  0.861268, Average Loss  0.869943, Time  0.264119
2021-09-15 14:59:33.184632 : Epoch  5, Batch    520, Loss  0.831365, Average Loss  0.869795, Time  0.262821
2021-09-15 14:59:36.176533 : Epoch  5, Batch    521, Loss  0.876405, Average Loss  0.869794, Time  0.263247
2021-09-15 14:59:39.151064 : Epoch  5, Batch    522, Loss  0.875837, Average Loss  0.869814, Time  0.263742
2021-09-15 14:59:42.127245 : Epoch  5, Batch    523, Loss  0.884181, Average Loss  0.869819, Time  0.263669
2021-09-15 14:59:45.102952 : Epoch  5, Batch    524, Loss  0.886839, Average Loss  0.869898, Time  0.263393
2021-09-15 14:59:48.071644 : Epoch  5, Batch    525, Loss  0.868696, Average Loss  0.869919, Time  0.263535
2021-09-15 14:59:51.070490 : Epoch  5, Batch    526, Loss  0.890918, Average Loss  0.870056, Time  0.263762
2021-09-15 14:59:54.042243 : Epoch  5, Batch    527, Loss  0.866546, Average Loss  0.870014, Time  0.263708
2021-09-15 14:59:57.007985 : Epoch  5, Batch    528, Loss  0.891377, Average Loss  0.870133, Time  0.263649
2021-09-15 14:59:59.973169 : Epoch  5, Batch    529, Loss  0.865503, Average Loss  0.870147, Time  0.262925
2021-09-15 15:00:02.962171 : Epoch  5, Batch    530, Loss  0.865086, Average Loss  0.870147, Time  0.263725
2021-09-15 15:00:05.972350 : Epoch  5, Batch    531, Loss  0.860063, Average Loss  0.870046, Time  0.264567
2021-09-15 15:00:08.977403 : Epoch  5, Batch    532, Loss  0.868848, Average Loss  0.870215, Time  0.273963
2021-09-15 15:00:11.950640 : Epoch  5, Batch    533, Loss  0.860461, Average Loss  0.870216, Time  0.263485
2021-09-15 15:00:14.954317 : Epoch  5, Batch    534, Loss  0.872461, Average Loss  0.870140, Time  0.262932
2021-09-15 15:00:17.931614 : Epoch  5, Batch    535, Loss  0.861692, Average Loss  0.869987, Time  0.262622
2021-09-15 15:00:20.936019 : Epoch  5, Batch    536, Loss  0.857782, Average Loss  0.869909, Time  0.263447
2021-09-15 15:00:23.906347 : Epoch  5, Batch    537, Loss  0.864671, Average Loss  0.869932, Time  0.263180
2021-09-15 15:00:26.881549 : Epoch  5, Batch    538, Loss  0.864175, Average Loss  0.869924, Time  0.263165
2021-09-15 15:00:29.882370 : Epoch  5, Batch    539, Loss  0.890472, Average Loss  0.869960, Time  0.264369
2021-09-15 15:00:32.891751 : Epoch  5, Batch    540, Loss  0.867057, Average Loss  0.870035, Time  0.264547
2021-09-15 15:00:35.888629 : Epoch  5, Batch    541, Loss  0.879702, Average Loss  0.870087, Time  0.264467
2021-09-15 15:00:38.858971 : Epoch  5, Batch    542, Loss  0.871934, Average Loss  0.870142, Time  0.263014
2021-09-15 15:00:41.841035 : Epoch  5, Batch    543, Loss  0.874867, Average Loss  0.870253, Time  0.263567
2021-09-15 15:00:44.833261 : Epoch  5, Batch    544, Loss  0.876277, Average Loss  0.870237, Time  0.263896
2021-09-15 15:00:47.771161 : Epoch  5, Batch    545, Loss  0.879728, Average Loss  0.870267, Time  0.262565
2021-09-15 15:00:50.737394 : Epoch  5, Batch    546, Loss  0.884938, Average Loss  0.870350, Time  0.263532
2021-09-15 15:00:53.739853 : Epoch  5, Batch    547, Loss  0.862288, Average Loss  0.870315, Time  0.263121
2021-09-15 15:00:56.730374 : Epoch  5, Batch    548, Loss  0.853719, Average Loss  0.870263, Time  0.275474
2021-09-15 15:00:59.721274 : Epoch  5, Batch    549, Loss  0.894411, Average Loss  0.870405, Time  0.264828
2021-09-15 15:01:02.694404 : Epoch  5, Batch    550, Loss  0.889636, Average Loss  0.870491, Time  0.264088
2021-09-15 15:01:05.676137 : Epoch  5, Batch    551, Loss  0.849969, Average Loss  0.870337, Time  0.263512
2021-09-15 15:01:08.668497 : Epoch  5, Batch    552, Loss  0.859706, Average Loss  0.870302, Time  0.263129
2021-09-15 15:01:11.641048 : Epoch  5, Batch    553, Loss  0.867434, Average Loss  0.870384, Time  0.262737
2021-09-15 15:01:14.603075 : Epoch  5, Batch    554, Loss  0.865622, Average Loss  0.870271, Time  0.261926
2021-09-15 15:01:17.539416 : Epoch  5, Batch    555, Loss  0.868422, Average Loss  0.870191, Time  0.262915
2021-09-15 15:01:20.556539 : Epoch  5, Batch    556, Loss  0.860958, Average Loss  0.870167, Time  0.263902
2021-09-15 15:01:23.542174 : Epoch  5, Batch    557, Loss  0.865219, Average Loss  0.870203, Time  0.263125
2021-09-15 15:01:26.524007 : Epoch  5, Batch    558, Loss  0.870598, Average Loss  0.870180, Time  0.264087
2021-09-15 15:01:29.508461 : Epoch  5, Batch    559, Loss  0.850990, Average Loss  0.870067, Time  0.263215
2021-09-15 15:01:32.485768 : Epoch  5, Batch    560, Loss  0.875132, Average Loss  0.870117, Time  0.263130
2021-09-15 15:01:35.504427 : Epoch  5, Batch    561, Loss  0.851204, Average Loss  0.870019, Time  0.264783
2021-09-15 15:01:38.513079 : Epoch  5, Batch    562, Loss  0.872640, Average Loss  0.869954, Time  0.263682
2021-09-15 15:01:41.502673 : Epoch  5, Batch    563, Loss  0.862108, Average Loss  0.869981, Time  0.275252
2021-09-15 15:01:44.488537 : Epoch  5, Batch    564, Loss  0.853019, Average Loss  0.869950, Time  0.264235
2021-09-15 15:01:47.490315 : Epoch  5, Batch    565, Loss  0.865445, Average Loss  0.869946, Time  0.263279
2021-09-15 15:01:50.491528 : Epoch  5, Batch    566, Loss  0.872729, Average Loss  0.869937, Time  0.264932
2021-09-15 15:01:53.483938 : Epoch  5, Batch    567, Loss  0.870535, Average Loss  0.869968, Time  0.264503
2021-09-15 15:01:56.490463 : Epoch  5, Batch    568, Loss  0.861570, Average Loss  0.869910, Time  0.263895
2021-09-15 15:01:59.486864 : Epoch  5, Batch    569, Loss  0.844872, Average Loss  0.869761, Time  0.263845
2021-09-15 15:02:02.498347 : Epoch  5, Batch    570, Loss  0.868559, Average Loss  0.869735, Time  0.264051
2021-09-15 15:02:05.501827 : Epoch  5, Batch    571, Loss  0.872998, Average Loss  0.869719, Time  0.263587
2021-09-15 15:02:08.500208 : Epoch  5, Batch    572, Loss  0.865990, Average Loss  0.869784, Time  0.263883
2021-09-15 15:02:11.494865 : Epoch  5, Batch    573, Loss  0.863851, Average Loss  0.869680, Time  0.263451
2021-09-15 15:02:14.477199 : Epoch  5, Batch    574, Loss  0.858786, Average Loss  0.869673, Time  0.262962
2021-09-15 15:02:17.482379 : Epoch  5, Batch    575, Loss  0.873798, Average Loss  0.869775, Time  0.264567
2021-09-15 15:02:26.185689 : Epoch  5, Batch    576, Loss  0.874088, Average Loss  0.869763, Time  0.264935
2021-09-15 15:07:02.687475 : CheckPoint: Validation Loss  0.00030136, Best Loss  0.00029096
2021-09-15 15:07:05.698817 : Epoch  5, Batch    577, Loss  0.861162, Average Loss  0.869775, Time  0.263533
2021-09-15 15:07:08.686029 : Epoch  5, Batch    578, Loss  0.887891, Average Loss  0.869864, Time  0.277878
2021-09-15 15:07:11.662398 : Epoch  5, Batch    579, Loss  0.874794, Average Loss  0.869899, Time  0.264052
2021-09-15 15:07:14.644298 : Epoch  5, Batch    580, Loss  0.887386, Average Loss  0.870013, Time  0.264101
2021-09-15 15:07:17.636681 : Epoch  5, Batch    581, Loss  0.863515, Average Loss  0.869988, Time  0.264464
2021-09-15 15:07:20.643047 : Epoch  5, Batch    582, Loss  0.870372, Average Loss  0.869994, Time  0.263191
2021-09-15 15:07:23.606775 : Epoch  5, Batch    583, Loss  0.866633, Average Loss  0.869845, Time  0.263253
2021-09-15 15:07:26.580616 : Epoch  5, Batch    584, Loss  0.873966, Average Loss  0.869843, Time  0.262873
2021-09-15 15:07:29.564495 : Epoch  5, Batch    585, Loss  0.882884, Average Loss  0.870003, Time  0.263969
2021-09-15 15:07:32.538249 : Epoch  5, Batch    586, Loss  0.869584, Average Loss  0.870001, Time  0.263538
2021-09-15 15:07:35.526605 : Epoch  5, Batch    587, Loss  0.861289, Average Loss  0.870081, Time  0.263791
2021-09-15 15:07:38.542514 : Epoch  5, Batch    588, Loss  0.852869, Average Loss  0.869857, Time  0.263812
2021-09-15 15:07:41.545061 : Epoch  5, Batch    589, Loss  0.848900, Average Loss  0.869702, Time  0.264333
2021-09-15 15:07:44.549049 : Epoch  5, Batch    590, Loss  0.869936, Average Loss  0.869740, Time  0.264385
2021-09-15 15:07:47.524426 : Epoch  5, Batch    591, Loss  0.854714, Average Loss  0.869606, Time  0.265244
2021-09-15 15:07:50.501224 : Epoch  5, Batch    592, Loss  0.892503, Average Loss  0.869844, Time  0.264214
2021-09-15 15:07:53.486924 : Epoch  5, Batch    593, Loss  0.869540, Average Loss  0.869899, Time  0.277241
2021-09-15 15:07:56.480756 : Epoch  5, Batch    594, Loss  0.884533, Average Loss  0.870018, Time  0.263897
2021-09-15 15:07:59.446796 : Epoch  5, Batch    595, Loss  0.862576, Average Loss  0.869979, Time  0.263276
2021-09-15 15:08:02.422050 : Epoch  5, Batch    596, Loss  0.884860, Average Loss  0.870076, Time  0.262631
2021-09-15 15:08:05.411820 : Epoch  5, Batch    597, Loss  0.855111, Average Loss  0.869999, Time  0.263433
2021-09-15 15:08:08.389043 : Epoch  5, Batch    598, Loss  0.882207, Average Loss  0.870111, Time  0.263379
2021-09-15 15:08:11.355262 : Epoch  5, Batch    599, Loss  0.852403, Average Loss  0.870228, Time  0.264218
2021-09-15 15:08:14.342611 : Epoch  5, Batch    600, Loss  0.875326, Average Loss  0.870290, Time  0.264400
2021-09-15 15:08:17.348123 : Epoch  5, Batch    601, Loss  0.867541, Average Loss  0.870297, Time  0.263635
2021-09-15 15:08:20.331246 : Epoch  5, Batch    602, Loss  0.851112, Average Loss  0.870187, Time  0.263689
2021-09-15 15:08:23.312595 : Epoch  5, Batch    603, Loss  0.872960, Average Loss  0.870280, Time  0.263346
2021-09-15 15:08:26.291534 : Epoch  5, Batch    604, Loss  0.885210, Average Loss  0.870354, Time  0.263674
2021-09-15 15:08:29.294686 : Epoch  5, Batch    605, Loss  0.873558, Average Loss  0.870404, Time  0.263686
2021-09-15 15:08:32.285848 : Epoch  5, Batch    606, Loss  0.873423, Average Loss  0.870347, Time  0.264091
2021-09-15 15:08:35.259429 : Epoch  5, Batch    607, Loss  0.873204, Average Loss  0.870433, Time  0.263063
2021-09-15 15:08:38.258956 : Epoch  5, Batch    608, Loss  0.855925, Average Loss  0.870396, Time  0.278545
2021-09-15 15:08:41.252335 : Epoch  5, Batch    609, Loss  0.883496, Average Loss  0.870574, Time  0.264069
2021-09-15 15:08:44.223139 : Epoch  5, Batch    610, Loss  0.854108, Average Loss  0.870462, Time  0.263076
2021-09-15 15:08:47.215147 : Epoch  5, Batch    611, Loss  0.894201, Average Loss  0.870627, Time  0.264741
2021-09-15 15:08:50.216850 : Epoch  5, Batch    612, Loss  0.886053, Average Loss  0.870685, Time  0.263871
2021-09-15 15:08:53.212683 : Epoch  5, Batch    613, Loss  0.894803, Average Loss  0.870768, Time  0.263679
2021-09-15 15:08:56.185236 : Epoch  5, Batch    614, Loss  0.885710, Average Loss  0.870756, Time  0.263933
2021-09-15 15:08:59.166436 : Epoch  5, Batch    615, Loss  0.861250, Average Loss  0.870760, Time  0.264118
2021-09-15 15:09:02.182729 : Epoch  5, Batch    616, Loss  0.850206, Average Loss  0.870676, Time  0.263563
2021-09-15 15:09:05.159389 : Epoch  5, Batch    617, Loss  0.848959, Average Loss  0.870579, Time  0.264281
2021-09-15 15:09:08.134481 : Epoch  5, Batch    618, Loss  0.866278, Average Loss  0.870549, Time  0.263552
2021-09-15 15:09:11.106282 : Epoch  5, Batch    619, Loss  0.863541, Average Loss  0.870527, Time  0.263102
2021-09-15 15:09:14.118474 : Epoch  5, Batch    620, Loss  0.882450, Average Loss  0.870587, Time  0.263910
2021-09-15 15:09:17.125202 : Epoch  5, Batch    621, Loss  0.870006, Average Loss  0.870735, Time  0.262976
2021-09-15 15:09:20.116463 : Epoch  5, Batch    622, Loss  0.858477, Average Loss  0.870740, Time  0.264182
2021-09-15 15:09:23.131037 : Epoch  5, Batch    623, Loss  0.872830, Average Loss  0.870776, Time  0.274524
2021-09-15 15:09:26.124249 : Epoch  5, Batch    624, Loss  0.873527, Average Loss  0.870748, Time  0.263899
2021-09-15 15:09:29.136955 : Epoch  5, Batch    625, Loss  0.882812, Average Loss  0.870692, Time  0.263906
2021-09-15 15:09:32.156774 : Epoch  5, Batch    626, Loss  0.868037, Average Loss  0.870655, Time  0.263331
2021-09-15 15:09:35.133599 : Epoch  5, Batch    627, Loss  0.878915, Average Loss  0.870711, Time  0.263345
2021-09-15 15:09:38.150369 : Epoch  5, Batch    628, Loss  0.884648, Average Loss  0.870604, Time  0.264042
2021-09-15 15:09:41.148002 : Epoch  5, Batch    629, Loss  0.857919, Average Loss  0.870522, Time  0.263714
2021-09-15 15:09:44.151735 : Epoch  5, Batch    630, Loss  0.869521, Average Loss  0.870634, Time  0.264263
2021-09-15 15:09:47.185082 : Epoch  5, Batch    631, Loss  0.892751, Average Loss  0.870758, Time  0.265288
2021-09-15 15:09:50.159974 : Epoch  5, Batch    632, Loss  0.861576, Average Loss  0.870786, Time  0.263177
2021-09-15 15:09:53.136178 : Epoch  5, Batch    633, Loss  0.860477, Average Loss  0.870626, Time  0.263262
2021-09-15 15:09:56.129139 : Epoch  5, Batch    634, Loss  0.850046, Average Loss  0.870479, Time  0.263384
2021-09-15 15:09:59.108656 : Epoch  5, Batch    635, Loss  0.876195, Average Loss  0.870502, Time  0.263810
2021-09-15 15:10:02.130257 : Epoch  5, Batch    636, Loss  0.890632, Average Loss  0.870644, Time  0.264569
2021-09-15 15:10:05.111533 : Epoch  5, Batch    637, Loss  0.868426, Average Loss  0.870555, Time  0.263775
2021-09-15 15:10:08.105779 : Epoch  5, Batch    638, Loss  0.865227, Average Loss  0.870530, Time  0.274087
2021-09-15 15:10:11.103520 : Epoch  5, Batch    639, Loss  0.881967, Average Loss  0.870549, Time  0.265663
2021-09-15 15:10:14.084347 : Epoch  5, Batch    640, Loss  0.899123, Average Loss  0.870807, Time  0.263846
2021-09-15 15:10:17.080941 : Epoch  5, Batch    641, Loss  0.842478, Average Loss  0.870695, Time  0.263653
2021-09-15 15:10:20.059548 : Epoch  5, Batch    642, Loss  0.889816, Average Loss  0.870861, Time  0.263194
2021-09-15 15:10:23.048545 : Epoch  5, Batch    643, Loss  0.883489, Average Loss  0.870946, Time  0.264058
2021-09-15 15:10:26.057421 : Epoch  5, Batch    644, Loss  0.869464, Average Loss  0.870968, Time  0.263618
2021-09-15 15:10:29.020807 : Epoch  5, Batch    645, Loss  0.861367, Average Loss  0.870800, Time  0.263524
2021-09-15 15:10:32.004400 : Epoch  5, Batch    646, Loss  0.875789, Average Loss  0.870787, Time  0.263419
2021-09-15 15:10:34.984928 : Epoch  5, Batch    647, Loss  0.866019, Average Loss  0.870804, Time  0.263349
2021-09-15 15:10:37.995195 : Epoch  5, Batch    648, Loss  0.851387, Average Loss  0.870644, Time  0.263839
2021-09-15 15:10:40.998938 : Epoch  5, Batch    649, Loss  0.863795, Average Loss  0.870674, Time  0.263515
2021-09-15 15:10:43.964114 : Epoch  5, Batch    650, Loss  0.865616, Average Loss  0.870671, Time  0.263934
2021-09-15 15:10:46.933403 : Epoch  5, Batch    651, Loss  0.865647, Average Loss  0.870585, Time  0.263137
2021-09-15 15:10:49.910338 : Epoch  5, Batch    652, Loss  0.870317, Average Loss  0.870655, Time  0.263891
2021-09-15 15:10:52.897251 : Epoch  5, Batch    653, Loss  0.870216, Average Loss  0.870655, Time  0.263093
2021-09-15 15:10:55.907957 : Epoch  5, Batch    654, Loss  0.849183, Average Loss  0.870478, Time  0.273548
2021-09-15 15:10:58.888360 : Epoch  5, Batch    655, Loss  0.861448, Average Loss  0.870408, Time  0.263567
2021-09-15 15:11:01.891061 : Epoch  5, Batch    656, Loss  0.864682, Average Loss  0.870312, Time  0.264252
2021-09-15 15:11:04.862507 : Epoch  5, Batch    657, Loss  0.838311, Average Loss  0.870201, Time  0.263521
2021-09-15 15:11:07.835076 : Epoch  5, Batch    658, Loss  0.870706, Average Loss  0.870251, Time  0.263246
2021-09-15 15:11:10.827289 : Epoch  5, Batch    659, Loss  0.864138, Average Loss  0.870206, Time  0.263937
2021-09-15 15:11:13.832988 : Epoch  5, Batch    660, Loss  0.866457, Average Loss  0.870107, Time  0.266555
2021-09-15 15:11:16.825074 : Epoch  5, Batch    661, Loss  0.856710, Average Loss  0.869987, Time  0.264674
2021-09-15 15:11:19.829300 : Epoch  5, Batch    662, Loss  0.873762, Average Loss  0.869924, Time  0.264128
2021-09-15 15:11:22.836334 : Epoch  5, Batch    663, Loss  0.867700, Average Loss  0.869878, Time  0.264468
2021-09-15 15:11:25.817185 : Epoch  5, Batch    664, Loss  0.853570, Average Loss  0.869844, Time  0.263205
2021-09-15 15:11:28.799978 : Epoch  5, Batch    665, Loss  0.883437, Average Loss  0.869928, Time  0.263507
2021-09-15 15:11:31.768097 : Epoch  5, Batch    666, Loss  0.848295, Average Loss  0.869777, Time  0.264477
2021-09-15 15:11:34.765971 : Epoch  5, Batch    667, Loss  0.900996, Average Loss  0.869952, Time  0.264093
2021-09-15 15:11:37.746711 : Epoch  5, Batch    668, Loss  0.877194, Average Loss  0.869976, Time  0.265052
2021-09-15 15:11:40.763326 : Epoch  5, Batch    669, Loss  0.854789, Average Loss  0.869903, Time  0.276296
2021-09-15 15:11:43.768306 : Epoch  5, Batch    670, Loss  0.852025, Average Loss  0.869898, Time  0.264333
2021-09-15 15:11:46.761605 : Epoch  5, Batch    671, Loss  0.859040, Average Loss  0.869836, Time  0.263391
2021-09-15 15:11:49.770536 : Epoch  5, Batch    672, Loss  0.869081, Average Loss  0.869667, Time  0.264010
2021-09-15 15:11:52.755361 : Epoch  5, Batch    673, Loss  0.884431, Average Loss  0.869776, Time  0.263141
2021-09-15 15:11:55.733637 : Epoch  5, Batch    674, Loss  0.861501, Average Loss  0.869783, Time  0.263476
2021-09-15 15:11:58.704959 : Epoch  5, Batch    675, Loss  0.857387, Average Loss  0.869700, Time  0.263119
2021-09-15 15:12:01.672955 : Epoch  5, Batch    676, Loss  0.845291, Average Loss  0.869464, Time  0.263600
2021-09-15 15:20:01.107809 : Building dataset train from orignial text documents
2021-09-15 15:23:07.776454 : Finish Loading dataset train
2021-09-15 15:23:07.812094 : Data Shuffle
2021-09-15 15:23:07.844433 : Start Shuffling
2021-09-15 15:23:09.051733 : Finish Shuffling
2021-09-15 15:23:09.133108 : Generate Batch
2021-09-15 15:23:09.502762 : Building dataset valid from orignial text documents
2021-09-15 15:23:17.964272 : Finish Loading dataset valid
2021-09-15 15:23:17.995270 : Data Shuffle
2021-09-15 15:23:18.027709 : Start Shuffling
2021-09-15 15:23:18.107671 : Finish Shuffling
2021-09-15 15:23:18.137937 : Generate Batch
2021-09-15 15:23:18.190385 : There are 1856 batches per epoch
2021-09-15 15:23:18.220827 : Batch Shuffled
2021-09-15 15:23:21.407275 : Epoch  1, Batch      1, Loss  1.936728, Average Loss  1.936728, Time  0.483372
2021-09-15 15:23:24.390379 : Epoch  1, Batch      2, Loss  1.931335, Average Loss  1.934031, Time  0.278617
2021-09-15 15:23:27.382697 : Epoch  1, Batch      3, Loss  1.927794, Average Loss  1.931952, Time  0.266716
2021-09-15 15:23:30.395749 : Epoch  1, Batch      4, Loss  1.928736, Average Loss  1.931148, Time  0.266151
2021-09-15 15:23:33.368486 : Epoch  1, Batch      5, Loss  1.914144, Average Loss  1.927748, Time  0.264573
2021-09-15 15:23:36.348732 : Epoch  1, Batch      6, Loss  1.913485, Average Loss  1.925370, Time  0.264862
2021-09-15 15:23:39.354105 : Epoch  1, Batch      7, Loss  1.914287, Average Loss  1.923787, Time  0.265786
2021-09-15 15:23:42.342173 : Epoch  1, Batch      8, Loss  1.899471, Average Loss  1.920748, Time  0.264862
2021-09-15 15:23:45.319996 : Epoch  1, Batch      9, Loss  1.885848, Average Loss  1.916870, Time  0.266077
2021-09-15 15:23:48.355302 : Epoch  1, Batch     10, Loss  1.876060, Average Loss  1.912789, Time  0.267763
2021-09-15 15:23:51.369022 : Epoch  1, Batch     11, Loss  1.856477, Average Loss  1.907670, Time  0.266743
2021-09-15 15:23:54.395513 : Epoch  1, Batch     12, Loss  1.849182, Average Loss  1.902796, Time  0.265146
2021-09-15 15:23:57.370103 : Epoch  1, Batch     13, Loss  1.831492, Average Loss  1.897311, Time  0.267480
2021-09-15 15:24:00.339811 : Epoch  1, Batch     14, Loss  1.820845, Average Loss  1.891849, Time  0.266458
2021-09-15 15:24:03.319270 : Epoch  1, Batch     15, Loss  1.805651, Average Loss  1.886102, Time  0.265732
2021-09-15 15:24:06.317462 : Epoch  1, Batch     16, Loss  1.798403, Average Loss  1.880621, Time  0.265335
2021-09-15 15:24:09.315853 : Epoch  1, Batch     17, Loss  1.786952, Average Loss  1.875111, Time  0.277588
2021-09-15 15:24:12.312333 : Epoch  1, Batch     18, Loss  1.771539, Average Loss  1.869357, Time  0.265473
2021-09-15 15:24:15.289932 : Epoch  1, Batch     19, Loss  1.753714, Average Loss  1.863271, Time  0.265829
2021-09-15 15:24:18.280464 : Epoch  1, Batch     20, Loss  1.741325, Average Loss  1.857174, Time  0.268472
2021-09-15 15:24:21.270914 : Epoch  1, Batch     21, Loss  1.723502, Average Loss  1.850808, Time  0.265931
2021-09-15 15:24:24.252767 : Epoch  1, Batch     22, Loss  1.731707, Average Loss  1.845395, Time  0.266746
2021-09-15 15:24:27.231746 : Epoch  1, Batch     23, Loss  1.727658, Average Loss  1.840276, Time  0.265485
2021-09-15 15:24:30.224160 : Epoch  1, Batch     24, Loss  1.714429, Average Loss  1.835032, Time  0.265492
2021-09-15 15:24:33.218426 : Epoch  1, Batch     25, Loss  1.706723, Average Loss  1.829900, Time  0.266320
2021-09-15 15:24:36.199161 : Epoch  1, Batch     26, Loss  1.698867, Average Loss  1.824860, Time  0.265285
2021-09-15 15:24:39.194821 : Epoch  1, Batch     27, Loss  1.712195, Average Loss  1.820687, Time  0.265878
2021-09-15 15:24:42.173675 : Epoch  1, Batch     28, Loss  1.698870, Average Loss  1.816336, Time  0.265696
2021-09-15 15:24:45.142692 : Epoch  1, Batch     29, Loss  1.697720, Average Loss  1.812246, Time  0.264548
2021-09-15 15:24:48.145454 : Epoch  1, Batch     30, Loss  1.687271, Average Loss  1.808080, Time  0.266013
2021-09-15 15:24:51.145610 : Epoch  1, Batch     31, Loss  1.686088, Average Loss  1.804145, Time  0.265573
2021-09-15 15:24:54.133942 : Epoch  1, Batch     32, Loss  1.695557, Average Loss  1.800752, Time  0.278247
2021-09-15 15:24:57.124994 : Epoch  1, Batch     33, Loss  1.662078, Average Loss  1.796550, Time  0.265838
2021-09-15 15:25:00.102035 : Epoch  1, Batch     34, Loss  1.670700, Average Loss  1.792848, Time  0.266144
2021-09-15 15:25:03.130177 : Epoch  1, Batch     35, Loss  1.686971, Average Loss  1.789823, Time  0.265569
2021-09-15 15:25:06.116486 : Epoch  1, Batch     36, Loss  1.671473, Average Loss  1.786536, Time  0.267224
2021-09-15 15:25:09.098845 : Epoch  1, Batch     37, Loss  1.673887, Average Loss  1.783491, Time  0.265320
2021-09-15 15:25:12.095044 : Epoch  1, Batch     38, Loss  1.668744, Average Loss  1.780471, Time  0.265744
2021-09-15 15:25:15.079756 : Epoch  1, Batch     39, Loss  1.669783, Average Loss  1.777633, Time  0.264762
2021-09-15 15:25:18.070539 : Epoch  1, Batch     40, Loss  1.676178, Average Loss  1.775097, Time  0.265887
2021-09-15 15:25:21.082349 : Epoch  1, Batch     41, Loss  1.666859, Average Loss  1.772457, Time  0.265396
2021-09-15 15:25:24.057779 : Epoch  1, Batch     42, Loss  1.663688, Average Loss  1.769867, Time  0.265850
2021-09-15 15:25:27.058040 : Epoch  1, Batch     43, Loss  1.679652, Average Loss  1.767769, Time  0.265917
2021-09-15 15:25:30.032839 : Epoch  1, Batch     44, Loss  1.679739, Average Loss  1.765768, Time  0.265729
2021-09-15 15:25:33.043326 : Epoch  1, Batch     45, Loss  1.666816, Average Loss  1.763569, Time  0.265547
2021-09-15 15:25:36.028709 : Epoch  1, Batch     46, Loss  1.664910, Average Loss  1.761425, Time  0.266114
2021-09-15 15:25:39.029940 : Epoch  1, Batch     47, Loss  1.665892, Average Loss  1.759392, Time  0.266157
2021-09-15 15:25:42.051306 : Epoch  1, Batch     48, Loss  1.664396, Average Loss  1.757413, Time  0.275270
2021-09-15 15:25:45.006158 : Epoch  1, Batch     49, Loss  1.665648, Average Loss  1.755540, Time  0.266379
2021-09-15 15:25:47.991753 : Epoch  1, Batch     50, Loss  1.663489, Average Loss  1.753699, Time  0.265347
2021-09-15 15:25:50.980917 : Epoch  1, Batch     51, Loss  1.660957, Average Loss  1.751881, Time  0.265026
2021-09-15 15:25:53.968979 : Epoch  1, Batch     52, Loss  1.664419, Average Loss  1.750199, Time  0.266431
2021-09-15 15:25:56.939841 : Epoch  1, Batch     53, Loss  1.658587, Average Loss  1.748470, Time  0.265885
2021-09-15 15:25:59.947504 : Epoch  1, Batch     54, Loss  1.673403, Average Loss  1.747080, Time  0.265252
2021-09-15 15:26:02.914433 : Epoch  1, Batch     55, Loss  1.668257, Average Loss  1.745647, Time  0.265217
2021-09-15 15:26:05.892910 : Epoch  1, Batch     56, Loss  1.665234, Average Loss  1.744211, Time  0.265327
2021-09-15 15:26:08.872455 : Epoch  1, Batch     57, Loss  1.679935, Average Loss  1.743083, Time  0.265951
2021-09-15 15:26:11.884653 : Epoch  1, Batch     58, Loss  1.672054, Average Loss  1.741859, Time  0.266471
2021-09-15 15:26:14.898325 : Epoch  1, Batch     59, Loss  1.657299, Average Loss  1.740425, Time  0.267520
2021-09-15 15:26:17.933869 : Epoch  1, Batch     60, Loss  1.666232, Average Loss  1.739189, Time  0.265574
2021-09-15 15:26:20.916749 : Epoch  1, Batch     61, Loss  1.664832, Average Loss  1.737970, Time  0.265562
2021-09-15 15:26:23.901648 : Epoch  1, Batch     62, Loss  1.642738, Average Loss  1.736434, Time  0.264861
2021-09-15 15:26:26.871591 : Epoch  1, Batch     63, Loss  1.666338, Average Loss  1.735321, Time  0.276643
2021-09-15 15:26:29.843898 : Epoch  1, Batch     64, Loss  1.660493, Average Loss  1.734152, Time  0.265265
2021-09-15 15:26:32.816336 : Epoch  1, Batch     65, Loss  1.660410, Average Loss  1.733018, Time  0.265508
2021-09-15 15:26:35.793738 : Epoch  1, Batch     66, Loss  1.670897, Average Loss  1.732076, Time  0.265426
2021-09-15 15:26:38.790488 : Epoch  1, Batch     67, Loss  1.671604, Average Loss  1.731174, Time  0.265889
2021-09-15 15:26:41.789688 : Epoch  1, Batch     68, Loss  1.654733, Average Loss  1.730050, Time  0.265586
2021-09-15 15:26:44.765618 : Epoch  1, Batch     69, Loss  1.656486, Average Loss  1.728984, Time  0.265017
2021-09-15 15:26:47.767396 : Epoch  1, Batch     70, Loss  1.654879, Average Loss  1.727925, Time  0.265448
2021-09-15 15:26:50.733286 : Epoch  1, Batch     71, Loss  1.668085, Average Loss  1.727082, Time  0.265607
2021-09-15 15:26:53.719996 : Epoch  1, Batch     72, Loss  1.665790, Average Loss  1.726231, Time  0.266820
2021-09-15 15:26:56.703250 : Epoch  1, Batch     73, Loss  1.671148, Average Loss  1.725476, Time  0.265015
2021-09-15 15:26:59.707501 : Epoch  1, Batch     74, Loss  1.655614, Average Loss  1.724532, Time  0.266728
2021-09-15 15:27:02.723456 : Epoch  1, Batch     75, Loss  1.649147, Average Loss  1.723527, Time  0.266666
2021-09-15 15:27:05.710850 : Epoch  1, Batch     76, Loss  1.639459, Average Loss  1.722421, Time  0.266192
2021-09-15 15:27:08.742095 : Epoch  1, Batch     77, Loss  1.656742, Average Loss  1.721568, Time  0.265945
2021-09-15 15:27:11.763837 : Epoch  1, Batch     78, Loss  1.655536, Average Loss  1.720721, Time  0.278224
2021-09-15 15:27:14.758722 : Epoch  1, Batch     79, Loss  1.656559, Average Loss  1.719909, Time  0.266827
2021-09-15 15:27:17.762013 : Epoch  1, Batch     80, Loss  1.662911, Average Loss  1.719197, Time  0.266313
2021-09-15 15:27:20.731275 : Epoch  1, Batch     81, Loss  1.642805, Average Loss  1.718254, Time  0.265745
2021-09-15 15:27:23.718933 : Epoch  1, Batch     82, Loss  1.636895, Average Loss  1.717261, Time  0.264940
2021-09-15 15:27:26.707472 : Epoch  1, Batch     83, Loss  1.636468, Average Loss  1.716288, Time  0.265770
2021-09-15 15:27:29.712076 : Epoch  1, Batch     84, Loss  1.631344, Average Loss  1.715277, Time  0.266332
2021-09-15 15:27:32.704780 : Epoch  1, Batch     85, Loss  1.642956, Average Loss  1.714426, Time  0.264926
2021-09-15 15:27:35.709168 : Epoch  1, Batch     86, Loss  1.639802, Average Loss  1.713558, Time  0.265330
2021-09-15 15:27:38.722290 : Epoch  1, Batch     87, Loss  1.638718, Average Loss  1.712698, Time  0.266023
2021-09-15 15:27:41.700444 : Epoch  1, Batch     88, Loss  1.654221, Average Loss  1.712033, Time  0.265499
2021-09-15 15:27:44.714678 : Epoch  1, Batch     89, Loss  1.644102, Average Loss  1.711270, Time  0.265243
2021-09-15 15:27:47.719749 : Epoch  1, Batch     90, Loss  1.632838, Average Loss  1.710399, Time  0.264958
2021-09-15 15:27:50.698986 : Epoch  1, Batch     91, Loss  1.629910, Average Loss  1.709514, Time  0.265121
2021-09-15 15:27:53.710504 : Epoch  1, Batch     92, Loss  1.625552, Average Loss  1.708602, Time  0.267504
2021-09-15 15:27:56.702278 : Epoch  1, Batch     93, Loss  1.611329, Average Loss  1.707556, Time  0.277972
2021-09-15 15:27:59.698414 : Epoch  1, Batch     94, Loss  1.609864, Average Loss  1.706516, Time  0.266475
2021-09-15 15:28:02.688830 : Epoch  1, Batch     95, Loss  1.599101, Average Loss  1.705386, Time  0.266591
2021-09-15 15:28:05.689030 : Epoch  1, Batch     96, Loss  1.593939, Average Loss  1.704225, Time  0.265535
2021-09-15 15:28:08.702647 : Epoch  1, Batch     97, Loss  1.575130, Average Loss  1.702894, Time  0.265491
2021-09-15 15:28:11.703006 : Epoch  1, Batch     98, Loss  1.577971, Average Loss  1.701619, Time  0.265792
2021-09-15 15:28:14.720457 : Epoch  1, Batch     99, Loss  1.560593, Average Loss  1.700195, Time  0.266165
2021-09-15 15:28:17.713295 : Epoch  1, Batch    100, Loss  1.550146, Average Loss  1.698694, Time  0.265926
2021-09-15 15:32:57.383089 : CheckPoint: Validation Loss  0.00053497, Best Loss  0.00053497
2021-09-15 15:32:57.409968 : Best Model Updated
2021-09-15 15:33:01.394196 : Epoch  1, Batch    101, Loss  1.545388, Average Loss  1.697176, Time  0.267223
2021-09-15 15:33:04.378573 : Epoch  1, Batch    102, Loss  1.534352, Average Loss  1.695580, Time  0.264926
2021-09-15 15:33:07.355285 : Epoch  1, Batch    103, Loss  1.503115, Average Loss  1.693711, Time  0.265922
2021-09-15 15:33:10.358364 : Epoch  1, Batch    104, Loss  1.491300, Average Loss  1.691765, Time  0.264882
2021-09-15 15:33:13.346198 : Epoch  1, Batch    105, Loss  1.503601, Average Loss  1.689973, Time  0.264843
2021-09-15 15:33:16.313372 : Epoch  1, Batch    106, Loss  1.479538, Average Loss  1.687988, Time  0.265341
2021-09-15 15:33:19.323923 : Epoch  1, Batch    107, Loss  1.493064, Average Loss  1.686166, Time  0.275306
2021-09-15 15:33:22.350417 : Epoch  1, Batch    108, Loss  1.473912, Average Loss  1.684201, Time  0.266895
2021-09-15 15:33:25.370989 : Epoch  1, Batch    109, Loss  1.478162, Average Loss  1.682311, Time  0.265378
2021-09-15 15:33:28.355577 : Epoch  1, Batch    110, Loss  1.455433, Average Loss  1.680248, Time  0.265015
2021-09-15 15:33:31.335272 : Epoch  1, Batch    111, Loss  1.452196, Average Loss  1.678194, Time  0.266737
2021-09-15 15:33:34.331634 : Epoch  1, Batch    112, Loss  1.456103, Average Loss  1.676211, Time  0.264931
2021-09-15 15:33:37.309219 : Epoch  1, Batch    113, Loss  1.437185, Average Loss  1.674095, Time  0.265419
2021-09-15 15:33:40.279757 : Epoch  1, Batch    114, Loss  1.419511, Average Loss  1.671862, Time  0.264743
2021-09-15 15:33:43.264544 : Epoch  1, Batch    115, Loss  1.444940, Average Loss  1.669889, Time  0.265546
2021-09-15 15:33:46.245509 : Epoch  1, Batch    116, Loss  1.412883, Average Loss  1.667673, Time  0.266169
2021-09-15 15:33:49.250757 : Epoch  1, Batch    117, Loss  1.396872, Average Loss  1.665359, Time  0.265422
2021-09-15 15:33:52.234719 : Epoch  1, Batch    118, Loss  1.416373, Average Loss  1.663249, Time  0.265086
2021-09-15 15:33:55.237496 : Epoch  1, Batch    119, Loss  1.404190, Average Loss  1.661072, Time  0.265337
2021-09-15 15:33:58.264313 : Epoch  1, Batch    120, Loss  1.391723, Average Loss  1.658827, Time  0.265907
2021-09-15 15:34:01.312186 : Epoch  1, Batch    121, Loss  1.374293, Average Loss  1.656476, Time  0.265957
2021-09-15 15:34:04.362082 : Epoch  1, Batch    122, Loss  1.368815, Average Loss  1.654118, Time  0.279613
2021-09-15 15:34:07.377381 : Epoch  1, Batch    123, Loss  1.376768, Average Loss  1.651863, Time  0.266680
2021-09-15 15:34:10.371061 : Epoch  1, Batch    124, Loss  1.349849, Average Loss  1.649427, Time  0.266600
2021-09-15 15:34:13.369961 : Epoch  1, Batch    125, Loss  1.348829, Average Loss  1.647023, Time  0.265270
2021-09-15 15:34:16.338156 : Epoch  1, Batch    126, Loss  1.315201, Average Loss  1.644389, Time  0.265196
2021-09-15 15:34:19.311934 : Epoch  1, Batch    127, Loss  1.350611, Average Loss  1.642076, Time  0.266077
2021-09-15 15:34:22.275129 : Epoch  1, Batch    128, Loss  1.304125, Average Loss  1.639436, Time  0.264898
2021-09-15 15:34:25.239072 : Epoch  1, Batch    129, Loss  1.310452, Average Loss  1.636885, Time  0.265566
2021-09-15 15:34:28.203385 : Epoch  1, Batch    130, Loss  1.317112, Average Loss  1.634426, Time  0.267115
2021-09-15 15:34:31.224571 : Epoch  1, Batch    131, Loss  1.285600, Average Loss  1.631763, Time  0.267648
2021-09-15 15:34:34.266155 : Epoch  1, Batch    132, Loss  1.272965, Average Loss  1.629045, Time  0.265328
2021-09-15 15:34:37.261153 : Epoch  1, Batch    133, Loss  1.295951, Average Loss  1.626540, Time  0.265976
2021-09-15 15:34:40.243117 : Epoch  1, Batch    134, Loss  1.258668, Average Loss  1.623795, Time  0.265736
2021-09-15 15:34:43.286753 : Epoch  1, Batch    135, Loss  1.259108, Average Loss  1.621093, Time  0.266789
2021-09-15 15:34:46.316971 : Epoch  1, Batch    136, Loss  1.234404, Average Loss  1.618250, Time  0.265109
2021-09-15 15:34:49.323930 : Epoch  1, Batch    137, Loss  1.249940, Average Loss  1.615562, Time  0.278208
2021-09-15 15:34:52.330100 : Epoch  1, Batch    138, Loss  1.255698, Average Loss  1.612954, Time  0.267868
2021-09-15 15:34:55.338308 : Epoch  1, Batch    139, Loss  1.226218, Average Loss  1.610172, Time  0.265958
2021-09-15 15:34:58.324629 : Epoch  1, Batch    140, Loss  1.207152, Average Loss  1.607293, Time  0.264944
2021-09-15 15:35:01.310868 : Epoch  1, Batch    141, Loss  1.208434, Average Loss  1.604464, Time  0.265407
2021-09-15 15:35:04.285450 : Epoch  1, Batch    142, Loss  1.204020, Average Loss  1.601644, Time  0.265105
2021-09-15 15:35:07.264057 : Epoch  1, Batch    143, Loss  1.207922, Average Loss  1.598891, Time  0.265340
2021-09-15 15:35:10.239913 : Epoch  1, Batch    144, Loss  1.177504, Average Loss  1.595965, Time  0.264893
2021-09-15 15:35:13.219593 : Epoch  1, Batch    145, Loss  1.187585, Average Loss  1.593148, Time  0.264858
2021-09-15 15:35:16.190548 : Epoch  1, Batch    146, Loss  1.202116, Average Loss  1.590470, Time  0.265714
2021-09-15 15:35:19.202004 : Epoch  1, Batch    147, Loss  1.204495, Average Loss  1.587844, Time  0.266222
2021-09-15 15:35:22.200518 : Epoch  1, Batch    148, Loss  1.208363, Average Loss  1.585280, Time  0.265487
2021-09-15 15:35:25.206826 : Epoch  1, Batch    149, Loss  1.194951, Average Loss  1.582660, Time  0.265549
2021-09-15 15:35:28.231346 : Epoch  1, Batch    150, Loss  1.181512, Average Loss  1.579986, Time  0.265311
2021-09-15 15:35:31.246415 : Epoch  1, Batch    151, Loss  1.162297, Average Loss  1.577220, Time  0.267936
2021-09-15 15:35:34.273639 : Epoch  1, Batch    152, Loss  1.162856, Average Loss  1.574494, Time  0.280775
2021-09-15 15:35:37.275718 : Epoch  1, Batch    153, Loss  1.158501, Average Loss  1.571775, Time  0.266021
2021-09-15 15:35:40.258735 : Epoch  1, Batch    154, Loss  1.163718, Average Loss  1.569125, Time  0.266788
2021-09-15 15:35:43.279849 : Epoch  1, Batch    155, Loss  1.172204, Average Loss  1.566565, Time  0.266293
2021-09-15 15:35:46.341738 : Epoch  1, Batch    156, Loss  1.187918, Average Loss  1.564137, Time  0.265845
2021-09-15 15:35:49.357924 : Epoch  1, Batch    157, Loss  1.163235, Average Loss  1.561584, Time  0.265149
2021-09-15 15:35:52.327279 : Epoch  1, Batch    158, Loss  1.161679, Average Loss  1.559053, Time  0.266043
2021-09-15 15:35:55.329960 : Epoch  1, Batch    159, Loss  1.144814, Average Loss  1.556447, Time  0.266056
2021-09-15 15:35:58.334471 : Epoch  1, Batch    160, Loss  1.145543, Average Loss  1.553879, Time  0.265471
2021-09-15 15:36:01.325724 : Epoch  1, Batch    161, Loss  1.146653, Average Loss  1.551350, Time  0.265153
2021-09-15 15:36:04.304813 : Epoch  1, Batch    162, Loss  1.144515, Average Loss  1.548839, Time  0.265514
2021-09-15 15:36:07.312912 : Epoch  1, Batch    163, Loss  1.131703, Average Loss  1.546280, Time  0.266291
2021-09-15 15:36:10.326755 : Epoch  1, Batch    164, Loss  1.128558, Average Loss  1.543732, Time  0.265386
2021-09-15 15:36:13.335904 : Epoch  1, Batch    165, Loss  1.122141, Average Loss  1.541177, Time  0.266085
2021-09-15 15:36:16.375679 : Epoch  1, Batch    166, Loss  1.112633, Average Loss  1.538596, Time  0.265737
2021-09-15 15:36:19.420958 : Epoch  1, Batch    167, Loss  1.099280, Average Loss  1.535965, Time  0.279136
2021-09-15 15:36:22.448546 : Epoch  1, Batch    168, Loss  1.120128, Average Loss  1.533490, Time  0.267054
2021-09-15 15:36:25.468172 : Epoch  1, Batch    169, Loss  1.112700, Average Loss  1.531000, Time  0.264957
2021-09-15 15:36:28.469405 : Epoch  1, Batch    170, Loss  1.097888, Average Loss  1.528452, Time  0.265292
2021-09-15 15:36:31.456935 : Epoch  1, Batch    171, Loss  1.109743, Average Loss  1.526004, Time  0.266016
2021-09-15 15:36:34.436842 : Epoch  1, Batch    172, Loss  1.096849, Average Loss  1.523509, Time  0.267044
2021-09-15 15:36:37.430198 : Epoch  1, Batch    173, Loss  1.110963, Average Loss  1.521124, Time  0.267080
2021-09-15 15:36:40.420369 : Epoch  1, Batch    174, Loss  1.105536, Average Loss  1.518736, Time  0.264673
2021-09-15 15:36:43.384735 : Epoch  1, Batch    175, Loss  1.085079, Average Loss  1.516257, Time  0.265262
2021-09-15 15:36:46.410892 : Epoch  1, Batch    176, Loss  1.097133, Average Loss  1.513876, Time  0.267012
2021-09-15 15:36:49.455404 : Epoch  1, Batch    177, Loss  1.097724, Average Loss  1.511525, Time  0.265051
2021-09-15 15:36:52.495566 : Epoch  1, Batch    178, Loss  1.083645, Average Loss  1.509121, Time  0.266265
2021-09-15 15:36:55.517505 : Epoch  1, Batch    179, Loss  1.067047, Average Loss  1.506651, Time  0.265228
2021-09-15 15:36:58.516335 : Epoch  1, Batch    180, Loss  1.073875, Average Loss  1.504247, Time  0.265369
2021-09-15 15:37:01.520615 : Epoch  1, Batch    181, Loss  1.078112, Average Loss  1.501893, Time  0.265324
2021-09-15 15:37:04.520050 : Epoch  1, Batch    182, Loss  1.065353, Average Loss  1.499494, Time  0.278857
2021-09-15 15:37:07.531699 : Epoch  1, Batch    183, Loss  1.071676, Average Loss  1.497156, Time  0.266626
2021-09-15 15:37:10.525865 : Epoch  1, Batch    184, Loss  1.045175, Average Loss  1.494700, Time  0.267083
2021-09-15 15:37:13.524136 : Epoch  1, Batch    185, Loss  1.034256, Average Loss  1.492211, Time  0.267143
2021-09-15 15:37:16.517046 : Epoch  1, Batch    186, Loss  1.069254, Average Loss  1.489937, Time  0.265703
2021-09-15 15:37:19.557561 : Epoch  1, Batch    187, Loss  1.052026, Average Loss  1.487595, Time  0.265891
2021-09-15 15:37:22.557910 : Epoch  1, Batch    188, Loss  1.032034, Average Loss  1.485172, Time  0.265711
2021-09-15 15:37:25.539615 : Epoch  1, Batch    189, Loss  1.061560, Average Loss  1.482931, Time  0.264950
2021-09-15 15:37:28.558814 : Epoch  1, Batch    190, Loss  1.027160, Average Loss  1.480532, Time  0.266068
2021-09-15 15:37:31.570195 : Epoch  1, Batch    191, Loss  1.043193, Average Loss  1.478242, Time  0.265348
2021-09-15 15:37:34.565510 : Epoch  1, Batch    192, Loss  1.032225, Average Loss  1.475919, Time  0.267642
2021-09-15 15:37:37.562680 : Epoch  1, Batch    193, Loss  1.050490, Average Loss  1.473715, Time  0.266251
2021-09-15 15:37:40.573643 : Epoch  1, Batch    194, Loss  1.032813, Average Loss  1.471442, Time  0.265714
2021-09-15 15:37:43.563186 : Epoch  1, Batch    195, Loss  1.019845, Average Loss  1.469126, Time  0.265143
2021-09-15 15:37:46.585658 : Epoch  1, Batch    196, Loss  1.038296, Average Loss  1.466928, Time  0.267388
2021-09-15 15:37:49.580328 : Epoch  1, Batch    197, Loss  0.991407, Average Loss  1.464514, Time  0.274803
2021-09-15 15:37:52.569159 : Epoch  1, Batch    198, Loss  1.033780, Average Loss  1.462339, Time  0.266122
2021-09-15 15:37:55.563719 : Epoch  1, Batch    199, Loss  1.025214, Average Loss  1.460142, Time  0.266048
2021-09-15 15:37:58.568141 : Epoch  1, Batch    200, Loss  1.002129, Average Loss  1.457852, Time  0.265050
2021-09-15 15:42:37.422899 : CheckPoint: Validation Loss  0.00034056, Best Loss  0.00034056
2021-09-15 15:42:37.461177 : Best Model Updated
2021-09-15 15:42:41.166965 : Epoch  1, Batch    201, Loss  0.997650, Average Loss  1.453157, Time  0.266534
2021-09-15 15:42:44.164319 : Epoch  1, Batch    202, Loss  1.009106, Average Loss  1.448546, Time  0.266005
2021-09-15 15:42:47.179123 : Epoch  1, Batch    203, Loss  0.983163, Average Loss  1.443823, Time  0.264905
2021-09-15 15:42:50.176019 : Epoch  1, Batch    204, Loss  0.979794, Average Loss  1.439078, Time  0.265966
2021-09-15 15:42:53.131255 : Epoch  1, Batch    205, Loss  0.991401, Average Loss  1.434464, Time  0.266577
2021-09-15 15:42:56.113526 : Epoch  1, Batch    206, Loss  1.011899, Average Loss  1.429956, Time  0.265363
2021-09-15 15:42:59.112710 : Epoch  1, Batch    207, Loss  1.005008, Average Loss  1.425410, Time  0.265573
2021-09-15 15:43:02.076968 : Epoch  1, Batch    208, Loss  1.005506, Average Loss  1.420940, Time  0.265334
2021-09-15 15:43:05.075966 : Epoch  1, Batch    209, Loss  0.983160, Average Loss  1.416427, Time  0.266115
2021-09-15 15:43:08.089711 : Epoch  1, Batch    210, Loss  0.967261, Average Loss  1.411883, Time  0.267248
2021-09-15 15:43:11.131194 : Epoch  1, Batch    211, Loss  0.984040, Average Loss  1.407521, Time  0.268915
2021-09-15 15:43:14.211751 : Epoch  1, Batch    212, Loss  1.001696, Average Loss  1.403283, Time  0.280344
2021-09-15 15:43:17.303553 : Epoch  1, Batch    213, Loss  0.993433, Average Loss  1.399093, Time  0.268817
2021-09-15 15:43:20.368479 : Epoch  1, Batch    214, Loss  0.980903, Average Loss  1.394893, Time  0.266318
2021-09-15 15:43:23.438269 : Epoch  1, Batch    215, Loss  0.960593, Average Loss  1.390668, Time  0.266811
2021-09-15 15:43:26.433661 : Epoch  1, Batch    216, Loss  0.989303, Average Loss  1.386622, Time  0.265455
2021-09-15 15:43:29.416332 : Epoch  1, Batch    217, Loss  0.990153, Average Loss  1.382638, Time  0.265169
2021-09-15 15:43:32.392262 : Epoch  1, Batch    218, Loss  0.957539, Average Loss  1.378568, Time  0.265238
2021-09-15 15:43:35.377539 : Epoch  1, Batch    219, Loss  1.000631, Average Loss  1.374803, Time  0.265531
2021-09-15 15:43:38.394162 : Epoch  1, Batch    220, Loss  0.973330, Average Loss  1.370963, Time  0.265125
2021-09-15 15:43:41.386833 : Epoch  1, Batch    221, Loss  0.975036, Average Loss  1.367221, Time  0.265765
2021-09-15 15:43:44.368622 : Epoch  1, Batch    222, Loss  0.971223, Average Loss  1.363418, Time  0.263676
2021-09-15 15:43:47.353529 : Epoch  1, Batch    223, Loss  0.965865, Average Loss  1.359609, Time  0.264815
2021-09-15 15:43:50.330056 : Epoch  1, Batch    224, Loss  0.954467, Average Loss  1.355809, Time  0.265095
2021-09-15 15:43:53.304222 : Epoch  1, Batch    225, Loss  0.980849, Average Loss  1.352180, Time  0.266096
2021-09-15 15:43:56.305872 : Epoch  1, Batch    226, Loss  0.952393, Average Loss  1.348448, Time  0.265809
2021-09-15 15:43:59.336324 : Epoch  1, Batch    227, Loss  0.957905, Average Loss  1.344676, Time  0.278194
2021-09-15 15:44:02.310779 : Epoch  1, Batch    228, Loss  0.947832, Average Loss  1.340921, Time  0.266513
2021-09-15 15:44:05.303282 : Epoch  1, Batch    229, Loss  0.966498, Average Loss  1.337265, Time  0.265158
2021-09-15 15:44:08.283107 : Epoch  1, Batch    230, Loss  0.948575, Average Loss  1.333571, Time  0.267783
2021-09-15 15:44:11.271344 : Epoch  1, Batch    231, Loss  0.948396, Average Loss  1.329883, Time  0.265224
2021-09-15 15:44:14.255944 : Epoch  1, Batch    232, Loss  0.935425, Average Loss  1.326082, Time  0.265910
2021-09-15 15:44:17.273572 : Epoch  1, Batch    233, Loss  0.948704, Average Loss  1.322515, Time  0.266172
2021-09-15 15:44:20.293310 : Epoch  1, Batch    234, Loss  0.944866, Average Loss  1.318886, Time  0.266250
2021-09-15 15:44:23.301926 : Epoch  1, Batch    235, Loss  0.937222, Average Loss  1.315138, Time  0.266681
2021-09-15 15:44:26.318738 : Epoch  1, Batch    236, Loss  0.960638, Average Loss  1.311583, Time  0.264259
2021-09-15 15:44:29.297752 : Epoch  1, Batch    237, Loss  0.943342, Average Loss  1.307931, Time  0.264993
2021-09-15 15:44:32.299358 : Epoch  1, Batch    238, Loss  0.941003, Average Loss  1.304292, Time  0.265409
2021-09-15 15:44:35.315988 : Epoch  1, Batch    239, Loss  0.943239, Average Loss  1.300659, Time  0.265935
2021-09-15 15:44:38.309345 : Epoch  1, Batch    240, Loss  0.944607, Average Loss  1.297001, Time  0.265092
2021-09-15 15:44:41.335908 : Epoch  1, Batch    241, Loss  0.959693, Average Loss  1.293466, Time  0.265720
2021-09-15 15:44:44.351352 : Epoch  1, Batch    242, Loss  0.917396, Average Loss  1.289734, Time  0.277157
2021-09-15 15:44:47.344191 : Epoch  1, Batch    243, Loss  0.961429, Average Loss  1.286143, Time  0.266093
2021-09-15 15:44:50.323161 : Epoch  1, Batch    244, Loss  0.929679, Average Loss  1.282393, Time  0.264978
2021-09-15 15:44:53.315241 : Epoch  1, Batch    245, Loss  0.934573, Average Loss  1.278731, Time  0.265656
2021-09-15 15:44:56.310993 : Epoch  1, Batch    246, Loss  0.939548, Average Loss  1.275105, Time  0.265135
2021-09-15 15:44:59.298264 : Epoch  1, Batch    247, Loss  0.947659, Average Loss  1.271513, Time  0.265883
2021-09-15 15:45:02.323384 : Epoch  1, Batch    248, Loss  0.930864, Average Loss  1.267846, Time  0.266115
2021-09-15 15:45:05.328961 : Epoch  1, Batch    249, Loss  0.924327, Average Loss  1.264139, Time  0.267884
2021-09-15 15:45:08.330671 : Epoch  1, Batch    250, Loss  0.934157, Average Loss  1.260493, Time  0.267494
2021-09-15 15:45:11.325017 : Epoch  1, Batch    251, Loss  0.935003, Average Loss  1.256863, Time  0.267201
2021-09-15 15:45:14.317174 : Epoch  1, Batch    252, Loss  0.934404, Average Loss  1.253213, Time  0.265246
2021-09-15 15:45:17.319687 : Epoch  1, Batch    253, Loss  0.934213, Average Loss  1.249591, Time  0.267966
2021-09-15 15:45:20.300596 : Epoch  1, Batch    254, Loss  0.934129, Average Loss  1.245894, Time  0.265619
2021-09-15 15:45:23.322568 : Epoch  1, Batch    255, Loss  0.947429, Average Loss  1.242290, Time  0.266350
2021-09-15 15:45:26.324535 : Epoch  1, Batch    256, Loss  0.916151, Average Loss  1.238545, Time  0.265494
2021-09-15 15:45:29.321464 : Epoch  1, Batch    257, Loss  0.921799, Average Loss  1.234754, Time  0.275790
2021-09-15 15:45:32.330229 : Epoch  1, Batch    258, Loss  0.936142, Average Loss  1.231075, Time  0.264959
2021-09-15 15:45:35.336781 : Epoch  1, Batch    259, Loss  0.939610, Average Loss  1.227486, Time  0.266728
2021-09-15 15:45:38.334525 : Epoch  1, Batch    260, Loss  0.938403, Average Loss  1.223847, Time  0.266480
2021-09-15 15:45:41.349974 : Epoch  1, Batch    261, Loss  0.935336, Average Loss  1.220200, Time  0.265620
2021-09-15 15:45:44.346153 : Epoch  1, Batch    262, Loss  0.933186, Average Loss  1.216652, Time  0.266876
2021-09-15 15:45:47.353006 : Epoch  1, Batch    263, Loss  0.921133, Average Loss  1.212926, Time  0.265710
2021-09-15 15:45:50.353300 : Epoch  1, Batch    264, Loss  0.938882, Average Loss  1.209318, Time  0.265800
2021-09-15 15:45:53.346269 : Epoch  1, Batch    265, Loss  0.920915, Average Loss  1.205620, Time  0.265427
2021-09-15 15:45:56.361224 : Epoch  1, Batch    266, Loss  0.925239, Average Loss  1.201892, Time  0.264940
2021-09-15 15:45:59.375121 : Epoch  1, Batch    267, Loss  0.936471, Average Loss  1.198216, Time  0.264830
2021-09-15 15:46:02.340900 : Epoch  1, Batch    268, Loss  0.905846, Average Loss  1.194472, Time  0.265442
2021-09-15 15:46:05.339563 : Epoch  1, Batch    269, Loss  0.935039, Average Loss  1.190865, Time  0.264938
2021-09-15 15:46:08.317661 : Epoch  1, Batch    270, Loss  0.923169, Average Loss  1.187206, Time  0.265764
2021-09-15 15:46:11.348418 : Epoch  1, Batch    271, Loss  0.930121, Average Loss  1.183516, Time  0.266316
2021-09-15 15:46:14.359995 : Epoch  1, Batch    272, Loss  0.931421, Average Loss  1.179844, Time  0.280413
2021-09-15 15:46:17.345694 : Epoch  1, Batch    273, Loss  0.926834, Average Loss  1.176123, Time  0.267642
2021-09-15 15:46:20.336327 : Epoch  1, Batch    274, Loss  0.914592, Average Loss  1.172418, Time  0.266190
2021-09-15 15:46:23.325226 : Epoch  1, Batch    275, Loss  0.915740, Average Loss  1.168751, Time  0.265266
2021-09-15 15:46:26.317162 : Epoch  1, Batch    276, Loss  0.913529, Average Loss  1.165121, Time  0.267877
2021-09-15 15:46:29.336829 : Epoch  1, Batch    277, Loss  0.908294, Average Loss  1.161379, Time  0.265226
2021-09-15 15:46:32.333050 : Epoch  1, Batch    278, Loss  0.936996, Average Loss  1.157786, Time  0.265044
2021-09-15 15:46:35.321553 : Epoch  1, Batch    279, Loss  0.900620, Average Loss  1.154006, Time  0.265998
2021-09-15 15:46:38.328674 : Epoch  1, Batch    280, Loss  0.926771, Average Loss  1.150326, Time  0.266585
2021-09-15 15:46:41.352111 : Epoch  1, Batch    281, Loss  0.934666, Average Loss  1.146785, Time  0.265824
2021-09-15 15:46:44.312295 : Epoch  1, Batch    282, Loss  0.932307, Average Loss  1.143262, Time  0.265076
2021-09-15 15:46:47.313188 : Epoch  1, Batch    283, Loss  0.913957, Average Loss  1.139650, Time  0.265224
2021-09-15 15:46:50.304384 : Epoch  1, Batch    284, Loss  0.947370, Average Loss  1.136230, Time  0.265013
2021-09-15 15:46:53.294145 : Epoch  1, Batch    285, Loss  0.915214, Average Loss  1.132591, Time  0.265348
2021-09-15 15:46:56.279818 : Epoch  1, Batch    286, Loss  0.908356, Average Loss  1.128934, Time  0.266886
2021-09-15 15:46:59.328367 : Epoch  1, Batch    287, Loss  0.924850, Average Loss  1.125364, Time  0.278546
2021-09-15 15:47:02.321879 : Epoch  1, Batch    288, Loss  0.926025, Average Loss  1.121723, Time  0.265532
2021-09-15 15:47:05.337504 : Epoch  1, Batch    289, Loss  0.888833, Average Loss  1.117947, Time  0.266370
2021-09-15 15:47:08.342401 : Epoch  1, Batch    290, Loss  0.914163, Average Loss  1.114354, Time  0.265550
2021-09-15 15:47:11.328107 : Epoch  1, Batch    291, Loss  0.915577, Average Loss  1.110782, Time  0.265854
2021-09-15 15:47:14.318879 : Epoch  1, Batch    292, Loss  0.911320, Average Loss  1.107211, Time  0.266385
2021-09-15 15:47:17.342167 : Epoch  1, Batch    293, Loss  0.923017, Average Loss  1.103769, Time  0.267137
2021-09-15 15:47:20.364921 : Epoch  1, Batch    294, Loss  0.915307, Average Loss  1.100297, Time  0.266873
2021-09-15 15:47:23.397427 : Epoch  1, Batch    295, Loss  0.932044, Average Loss  1.096961, Time  0.265825
2021-09-15 15:47:26.429451 : Epoch  1, Batch    296, Loss  0.926309, Average Loss  1.093623, Time  0.265247
2021-09-15 15:47:29.423926 : Epoch  1, Batch    297, Loss  0.924106, Average Loss  1.090368, Time  0.265652
2021-09-15 15:47:32.429493 : Epoch  1, Batch    298, Loss  0.914003, Average Loss  1.087048, Time  0.266450
2021-09-15 15:47:35.414682 : Epoch  1, Batch    299, Loss  0.933331, Average Loss  1.083912, Time  0.265068
2021-09-15 15:47:38.391089 : Epoch  1, Batch    300, Loss  0.910375, Average Loss  1.080713, Time  0.264922
2021-09-15 15:52:17.273129 : CheckPoint: Validation Loss  0.00031412, Best Loss  0.00031412
2021-09-15 15:52:17.307433 : Best Model Updated
2021-09-15 15:52:21.040434 : Epoch  1, Batch    301, Loss  0.926801, Average Loss  1.077620, Time  0.266383
2021-09-15 15:52:24.036026 : Epoch  1, Batch    302, Loss  0.909610, Average Loss  1.074496, Time  0.265978
2021-09-15 15:52:27.038165 : Epoch  1, Batch    303, Loss  0.902391, Average Loss  1.071493, Time  0.265193
2021-09-15 15:52:30.055338 : Epoch  1, Batch    304, Loss  0.904720, Average Loss  1.068560, Time  0.279232
2021-09-15 15:52:33.027881 : Epoch  1, Batch    305, Loss  0.906765, Average Loss  1.065576, Time  0.266022
2021-09-15 15:52:36.022378 : Epoch  1, Batch    306, Loss  0.907641, Average Loss  1.062716, Time  0.265225
2021-09-15 15:52:39.045898 : Epoch  1, Batch    307, Loss  0.911484, Average Loss  1.059808, Time  0.266111
2021-09-15 15:52:42.092514 : Epoch  1, Batch    308, Loss  0.922133, Average Loss  1.057049, Time  0.264628
2021-09-15 15:52:45.108572 : Epoch  1, Batch    309, Loss  0.920387, Average Loss  1.054260, Time  0.266143
2021-09-15 15:52:48.117417 : Epoch  1, Batch    310, Loss  0.901478, Average Loss  1.051491, Time  0.267637
2021-09-15 15:52:51.112485 : Epoch  1, Batch    311, Loss  0.930060, Average Loss  1.048880, Time  0.266861
2021-09-15 15:52:54.150947 : Epoch  1, Batch    312, Loss  0.911297, Average Loss  1.046156, Time  0.266919
2021-09-15 15:52:57.182051 : Epoch  1, Batch    313, Loss  0.900566, Average Loss  1.043473, Time  0.265247
2021-09-15 15:53:00.192174 : Epoch  1, Batch    314, Loss  0.918069, Average Loss  1.040966, Time  0.265388
2021-09-15 15:53:03.191877 : Epoch  1, Batch    315, Loss  0.891255, Average Loss  1.038197, Time  0.266807
2021-09-15 15:53:06.233057 : Epoch  1, Batch    316, Loss  0.899087, Average Loss  1.035628, Time  0.266475
2021-09-15 15:53:09.229075 : Epoch  1, Batch    317, Loss  0.929689, Average Loss  1.033292, Time  0.265170
2021-09-15 15:53:12.228213 : Epoch  1, Batch    318, Loss  0.898743, Average Loss  1.030704, Time  0.266142
2021-09-15 15:53:15.235930 : Epoch  1, Batch    319, Loss  0.899327, Average Loss  1.028180, Time  0.276788
2021-09-15 15:53:18.230175 : Epoch  1, Batch    320, Loss  0.902494, Average Loss  1.025734, Time  0.265421
2021-09-15 15:53:21.226181 : Epoch  1, Batch    321, Loss  0.913039, Average Loss  1.023427, Time  0.265769
2021-09-15 15:53:24.224925 : Epoch  1, Batch    322, Loss  0.889744, Average Loss  1.021032, Time  0.264992
2021-09-15 15:53:27.225949 : Epoch  1, Batch    323, Loss  0.896243, Average Loss  1.018629, Time  0.264741
2021-09-15 15:53:30.206251 : Epoch  1, Batch    324, Loss  0.888408, Average Loss  1.016322, Time  0.265054
2021-09-15 15:53:33.220594 : Epoch  1, Batch    325, Loss  0.882469, Average Loss  1.013990, Time  0.265850
2021-09-15 15:53:36.230872 : Epoch  1, Batch    326, Loss  0.897437, Average Loss  1.011902, Time  0.266403
2021-09-15 15:53:39.225341 : Epoch  1, Batch    327, Loss  0.918452, Average Loss  1.009741, Time  0.265973
2021-09-15 15:53:42.242802 : Epoch  1, Batch    328, Loss  0.906169, Average Loss  1.007751, Time  0.264451
2021-09-15 15:53:45.239897 : Epoch  1, Batch    329, Loss  0.903293, Average Loss  1.005715, Time  0.266213
2021-09-15 15:53:48.259795 : Epoch  1, Batch    330, Loss  0.904007, Average Loss  1.003650, Time  0.267377
2021-09-15 15:53:51.277182 : Epoch  1, Batch    331, Loss  0.914589, Average Loss  1.001795, Time  0.265882
2021-09-15 15:53:54.309623 : Epoch  1, Batch    332, Loss  0.905952, Average Loss  0.999960, Time  0.266952
2021-09-15 15:53:57.314557 : Epoch  1, Batch    333, Loss  0.935600, Average Loss  0.998158, Time  0.265784
2021-09-15 15:54:00.318453 : Epoch  1, Batch    334, Loss  0.906943, Average Loss  0.996399, Time  0.277580
2021-09-15 15:54:03.347321 : Epoch  1, Batch    335, Loss  0.892791, Average Loss  0.994568, Time  0.266955
2021-09-15 15:54:06.349557 : Epoch  1, Batch    336, Loss  0.922711, Average Loss  0.993009, Time  0.265662
2021-09-15 15:54:09.347438 : Epoch  1, Batch    337, Loss  0.920828, Average Loss  0.991364, Time  0.265108
2021-09-15 15:54:12.352070 : Epoch  1, Batch    338, Loss  0.913656, Average Loss  0.989653, Time  0.265109
2021-09-15 15:54:15.383217 : Epoch  1, Batch    339, Loss  0.911913, Average Loss  0.988082, Time  0.265668
2021-09-15 15:54:18.404118 : Epoch  1, Batch    340, Loss  0.914683, Average Loss  0.986620, Time  0.265732
2021-09-15 15:54:21.418728 : Epoch  1, Batch    341, Loss  0.915928, Average Loss  0.985157, Time  0.265633
2021-09-15 15:54:24.413458 : Epoch  1, Batch    342, Loss  0.909289, Average Loss  0.983683, Time  0.265496
2021-09-15 15:54:27.414612 : Epoch  1, Batch    343, Loss  0.893421, Average Loss  0.982111, Time  0.265590
2021-09-15 15:54:30.409070 : Epoch  1, Batch    344, Loss  0.928818, Average Loss  0.980867, Time  0.265073
2021-09-15 15:54:33.417562 : Epoch  1, Batch    345, Loss  0.894462, Average Loss  0.979402, Time  0.265560
2021-09-15 15:54:36.416401 : Epoch  1, Batch    346, Loss  0.892929, Average Loss  0.977856, Time  0.264940
2021-09-15 15:54:39.412855 : Epoch  1, Batch    347, Loss  0.913668, Average Loss  0.976402, Time  0.265725
2021-09-15 15:54:42.413789 : Epoch  1, Batch    348, Loss  0.904704, Average Loss  0.974883, Time  0.265169
2021-09-15 15:54:45.435553 : Epoch  1, Batch    349, Loss  0.919586, Average Loss  0.973507, Time  0.278906
2021-09-15 15:54:48.460533 : Epoch  1, Batch    350, Loss  0.906169, Average Loss  0.972130, Time  0.268103
2021-09-15 15:54:51.445689 : Epoch  1, Batch    351, Loss  0.917626, Average Loss  0.970907, Time  0.265111
2021-09-15 15:54:54.451721 : Epoch  1, Batch    352, Loss  0.906868, Average Loss  0.969627, Time  0.266277
2021-09-15 15:54:57.429717 : Epoch  1, Batch    353, Loss  0.907358, Average Loss  0.968371, Time  0.266526
2021-09-15 15:55:00.425809 : Epoch  1, Batch    354, Loss  0.891352, Average Loss  0.967009, Time  0.265532
2021-09-15 15:55:03.423025 : Epoch  1, Batch    355, Loss  0.885865, Average Loss  0.965577, Time  0.265580
2021-09-15 15:55:06.424940 : Epoch  1, Batch    356, Loss  0.897265, Average Loss  0.964124, Time  0.265890
2021-09-15 15:55:09.453134 : Epoch  1, Batch    357, Loss  0.924903, Average Loss  0.962932, Time  0.266301
2021-09-15 15:55:12.491440 : Epoch  1, Batch    358, Loss  0.888803, Average Loss  0.961568, Time  0.266244
2021-09-15 15:55:15.519093 : Epoch  1, Batch    359, Loss  0.886024, Average Loss  0.960274, Time  0.265837
2021-09-15 15:55:18.533203 : Epoch  1, Batch    360, Loss  0.922294, Average Loss  0.959158, Time  0.265907
2021-09-15 15:55:21.556533 : Epoch  1, Batch    361, Loss  0.906837, Average Loss  0.957959, Time  0.265428
2021-09-15 15:55:24.559912 : Epoch  1, Batch    362, Loss  0.894109, Average Loss  0.956707, Time  0.266086
2021-09-15 15:55:27.592072 : Epoch  1, Batch    363, Loss  0.895201, Average Loss  0.955524, Time  0.264793
2021-09-15 15:55:30.601991 : Epoch  1, Batch    364, Loss  0.902329, Average Loss  0.954393, Time  0.276143
2021-09-15 15:55:33.612111 : Epoch  1, Batch    365, Loss  0.897698, Average Loss  0.953271, Time  0.265853
2021-09-15 15:55:36.619036 : Epoch  1, Batch    366, Loss  0.901085, Average Loss  0.952213, Time  0.265281
2021-09-15 15:55:39.625525 : Epoch  1, Batch    367, Loss  0.891426, Average Loss  0.951174, Time  0.267524
2021-09-15 15:55:42.640000 : Epoch  1, Batch    368, Loss  0.905065, Average Loss  0.950099, Time  0.265612
2021-09-15 15:55:45.687525 : Epoch  1, Batch    369, Loss  0.899132, Average Loss  0.949031, Time  0.266273
2021-09-15 15:55:48.728745 : Epoch  1, Batch    370, Loss  0.907331, Average Loss  0.948078, Time  0.266615
2021-09-15 15:55:51.731267 : Epoch  1, Batch    371, Loss  0.903414, Average Loss  0.947046, Time  0.264629
2021-09-15 15:55:54.760956 : Epoch  1, Batch    372, Loss  0.886384, Average Loss  0.945994, Time  0.267394
2021-09-15 15:55:57.771850 : Epoch  1, Batch    373, Loss  0.899481, Average Loss  0.944937, Time  0.265603
2021-09-15 15:56:00.782491 : Epoch  1, Batch    374, Loss  0.886617, Average Loss  0.943842, Time  0.266704
2021-09-15 15:56:03.824199 : Epoch  1, Batch    375, Loss  0.898415, Average Loss  0.942909, Time  0.266734
2021-09-15 15:56:06.823153 : Epoch  1, Batch    376, Loss  0.889723, Average Loss  0.941872, Time  0.265000
2021-09-15 15:56:09.839601 : Epoch  1, Batch    377, Loss  0.903708, Average Loss  0.940902, Time  0.265962
2021-09-15 15:56:12.870308 : Epoch  1, Batch    378, Loss  0.905031, Average Loss  0.940008, Time  0.265784
2021-09-15 15:56:15.893986 : Epoch  1, Batch    379, Loss  0.888496, Average Loss  0.939116, Time  0.276483
2021-09-15 15:56:18.928299 : Epoch  1, Batch    380, Loss  0.899233, Average Loss  0.938242, Time  0.268331
2021-09-15 15:56:21.953220 : Epoch  1, Batch    381, Loss  0.906078, Average Loss  0.937382, Time  0.264910
2021-09-15 15:56:24.946973 : Epoch  1, Batch    382, Loss  0.888595, Average Loss  0.936499, Time  0.265965
2021-09-15 15:56:27.938103 : Epoch  1, Batch    383, Loss  0.916118, Average Loss  0.935721, Time  0.265036
2021-09-15 15:56:30.929319 : Epoch  1, Batch    384, Loss  0.879301, Average Loss  0.934891, Time  0.265094
2021-09-15 15:56:33.934438 : Epoch  1, Batch    385, Loss  0.922458, Average Loss  0.934332, Time  0.265205
2021-09-15 15:56:36.928926 : Epoch  1, Batch    386, Loss  0.894403, Average Loss  0.933458, Time  0.265275
2021-09-15 15:56:39.932101 : Epoch  1, Batch    387, Loss  0.894481, Average Loss  0.932670, Time  0.265307
2021-09-15 15:56:42.932171 : Epoch  1, Batch    388, Loss  0.900456, Average Loss  0.932013, Time  0.265620
2021-09-15 15:56:45.947400 : Epoch  1, Batch    389, Loss  0.886323, Average Loss  0.931136, Time  0.265762
2021-09-15 15:56:48.951889 : Epoch  1, Batch    390, Loss  0.918875, Average Loss  0.930595, Time  0.267317
2021-09-15 15:56:51.968799 : Epoch  1, Batch    391, Loss  0.899762, Average Loss  0.929878, Time  0.265037
2021-09-15 15:56:54.961283 : Epoch  1, Batch    392, Loss  0.901963, Average Loss  0.929226, Time  0.266240
2021-09-15 15:56:57.961427 : Epoch  1, Batch    393, Loss  0.903155, Average Loss  0.928490, Time  0.265954
2021-09-15 15:57:01.000114 : Epoch  1, Batch    394, Loss  0.908789, Average Loss  0.927870, Time  0.277230
2021-09-15 15:57:04.049472 : Epoch  1, Batch    395, Loss  0.896279, Average Loss  0.927252, Time  0.266085
2021-09-15 15:57:07.062369 : Epoch  1, Batch    396, Loss  0.902056, Average Loss  0.926571, Time  0.265710
2021-09-15 15:57:10.087658 : Epoch  1, Batch    397, Loss  0.908489, Average Loss  0.926156, Time  0.265317
2021-09-15 15:57:13.076210 : Epoch  1, Batch    398, Loss  0.889527, Average Loss  0.925435, Time  0.264821
2021-09-15 15:57:16.105382 : Epoch  1, Batch    399, Loss  0.905268, Average Loss  0.924835, Time  0.265799
2021-09-15 15:57:19.105659 : Epoch  1, Batch    400, Loss  0.906542, Average Loss  0.924357, Time  0.265155
2021-09-15 16:01:57.590029 : CheckPoint: Validation Loss  0.00031021, Best Loss  0.00031021
2021-09-15 16:01:57.621857 : Best Model Updated
2021-09-15 16:02:01.283571 : Epoch  1, Batch    401, Loss  0.889940, Average Loss  0.923819, Time  0.267765
2021-09-15 16:02:04.270486 : Epoch  1, Batch    402, Loss  0.909442, Average Loss  0.923320, Time  0.265207
2021-09-15 16:02:07.278550 : Epoch  1, Batch    403, Loss  0.900092, Average Loss  0.922905, Time  0.266457
2021-09-15 16:02:10.275214 : Epoch  1, Batch    404, Loss  0.896724, Average Loss  0.922490, Time  0.266022
2021-09-15 16:02:13.276594 : Epoch  1, Batch    405, Loss  0.877922, Average Loss  0.921922, Time  0.265570
2021-09-15 16:02:16.279693 : Epoch  1, Batch    406, Loss  0.912233, Average Loss  0.921424, Time  0.265851
2021-09-15 16:02:19.286047 : Epoch  1, Batch    407, Loss  0.901433, Average Loss  0.920906, Time  0.265246
2021-09-15 16:02:22.280045 : Epoch  1, Batch    408, Loss  0.914379, Average Loss  0.920450, Time  0.265178
2021-09-15 16:02:25.308787 : Epoch  1, Batch    409, Loss  0.889904, Average Loss  0.919984, Time  0.281582
2021-09-15 16:02:28.320674 : Epoch  1, Batch    410, Loss  0.901326, Average Loss  0.919654, Time  0.266501
2021-09-15 16:02:31.303177 : Epoch  1, Batch    411, Loss  0.891085, Average Loss  0.919190, Time  0.266365
2021-09-15 16:02:34.298645 : Epoch  1, Batch    412, Loss  0.886410, Average Loss  0.918613, Time  0.266483
2021-09-15 16:02:37.318228 : Epoch  1, Batch    413, Loss  0.895603, Average Loss  0.918124, Time  0.266367
2021-09-15 16:02:40.352882 : Epoch  1, Batch    414, Loss  0.876661, Average Loss  0.917603, Time  0.266766
2021-09-15 16:02:43.361240 : Epoch  1, Batch    415, Loss  0.902759, Average Loss  0.917314, Time  0.264903
2021-09-15 16:02:46.345825 : Epoch  1, Batch    416, Loss  0.875525, Average Loss  0.916745, Time  0.266441
2021-09-15 16:02:49.335592 : Epoch  1, Batch    417, Loss  0.897503, Average Loss  0.916281, Time  0.265664
2021-09-15 16:02:52.316658 : Epoch  1, Batch    418, Loss  0.908153, Average Loss  0.916035, Time  0.266412
2021-09-15 16:02:55.319367 : Epoch  1, Batch    419, Loss  0.927293, Average Loss  0.915668, Time  0.265675
2021-09-15 16:02:58.300598 : Epoch  1, Batch    420, Loss  0.907312, Average Loss  0.915338, Time  0.265145
2021-09-15 16:03:01.325923 : Epoch  1, Batch    421, Loss  0.905945, Average Loss  0.914992, Time  0.265659
2021-09-15 16:03:04.351566 : Epoch  1, Batch    422, Loss  0.914601, Average Loss  0.914709, Time  0.265602
2021-09-15 16:03:07.337972 : Epoch  1, Batch    423, Loss  0.917191, Average Loss  0.914466, Time  0.265028
2021-09-15 16:03:10.328241 : Epoch  1, Batch    424, Loss  0.887069, Average Loss  0.914129, Time  0.277275
2021-09-15 16:03:13.354515 : Epoch  1, Batch    425, Loss  0.898941, Average Loss  0.913719, Time  0.266673
2021-09-15 16:03:16.360197 : Epoch  1, Batch    426, Loss  0.896370, Average Loss  0.913439, Time  0.265408
2021-09-15 16:03:19.345964 : Epoch  1, Batch    427, Loss  0.897612, Average Loss  0.913138, Time  0.265460
2021-09-15 16:03:22.343720 : Epoch  1, Batch    428, Loss  0.902105, Average Loss  0.912909, Time  0.265395
2021-09-15 16:03:25.327104 : Epoch  1, Batch    429, Loss  0.910816, Average Loss  0.912631, Time  0.265526
2021-09-15 16:03:28.318992 : Epoch  1, Batch    430, Loss  0.891791, Average Loss  0.912347, Time  0.266414
2021-09-15 16:03:31.345390 : Epoch  1, Batch    431, Loss  0.904280, Average Loss  0.912126, Time  0.265488
2021-09-15 16:03:34.348244 : Epoch  1, Batch    432, Loss  0.900199, Average Loss  0.911950, Time  0.267071
2021-09-15 16:03:37.327420 : Epoch  1, Batch    433, Loss  0.882371, Average Loss  0.911618, Time  0.265629
2021-09-15 16:03:40.311632 : Epoch  1, Batch    434, Loss  0.902282, Average Loss  0.911405, Time  0.267345
2021-09-15 16:03:43.294138 : Epoch  1, Batch    435, Loss  0.922182, Average Loss  0.911330, Time  0.265919
2021-09-15 16:03:46.303387 : Epoch  1, Batch    436, Loss  0.888874, Average Loss  0.910971, Time  0.265541
2021-09-15 16:03:49.288345 : Epoch  1, Batch    437, Loss  0.890926, Average Loss  0.910709, Time  0.264756
2021-09-15 16:03:52.274500 : Epoch  1, Batch    438, Loss  0.900173, Average Loss  0.910505, Time  0.266179
2021-09-15 16:03:55.291372 : Epoch  1, Batch    439, Loss  0.903445, Average Loss  0.910306, Time  0.276499
2021-09-15 16:03:58.272936 : Epoch  1, Batch    440, Loss  0.888607, Average Loss  0.910026, Time  0.266831
2021-09-15 16:04:01.278044 : Epoch  1, Batch    441, Loss  0.888171, Average Loss  0.909669, Time  0.265672
2021-09-15 16:04:04.273179 : Epoch  1, Batch    442, Loss  0.887969, Average Loss  0.909521, Time  0.264957
2021-09-15 16:04:07.273796 : Epoch  1, Batch    443, Loss  0.888067, Average Loss  0.909155, Time  0.265353
2021-09-15 16:04:10.261189 : Epoch  1, Batch    444, Loss  0.907042, Average Loss  0.909041, Time  0.265421
2021-09-15 16:04:13.227429 : Epoch  1, Batch    445, Loss  0.894392, Average Loss  0.908841, Time  0.264628
2021-09-15 16:04:16.230827 : Epoch  1, Batch    446, Loss  0.893154, Average Loss  0.908609, Time  0.265771
2021-09-15 16:04:19.219671 : Epoch  1, Batch    447, Loss  0.898564, Average Loss  0.908363, Time  0.268546
2021-09-15 16:04:22.204736 : Epoch  1, Batch    448, Loss  0.871938, Average Loss  0.908068, Time  0.265717
2021-09-15 16:04:25.209786 : Epoch  1, Batch    449, Loss  0.883172, Average Loss  0.907863, Time  0.267298
2021-09-15 16:04:28.194754 : Epoch  1, Batch    450, Loss  0.898210, Average Loss  0.907683, Time  0.264960
2021-09-15 16:04:31.179762 : Epoch  1, Batch    451, Loss  0.909047, Average Loss  0.907553, Time  0.265363
2021-09-15 16:04:34.166805 : Epoch  1, Batch    452, Loss  0.886487, Average Loss  0.907314, Time  0.266198
2021-09-15 16:04:37.153528 : Epoch  1, Batch    453, Loss  0.896958, Average Loss  0.907127, Time  0.265415
2021-09-15 16:04:40.167004 : Epoch  1, Batch    454, Loss  0.906083, Average Loss  0.906987, Time  0.279443
2021-09-15 16:04:43.153169 : Epoch  1, Batch    455, Loss  0.884023, Average Loss  0.906670, Time  0.265747
2021-09-15 16:04:46.146086 : Epoch  1, Batch    456, Loss  0.901342, Average Loss  0.906596, Time  0.265762
2021-09-15 16:04:49.175739 : Epoch  1, Batch    457, Loss  0.911288, Average Loss  0.906543, Time  0.265956
2021-09-15 16:04:52.174728 : Epoch  1, Batch    458, Loss  0.912202, Average Loss  0.906424, Time  0.265317
2021-09-15 16:04:55.145858 : Epoch  1, Batch    459, Loss  0.900676, Average Loss  0.906229, Time  0.264950
2021-09-15 16:04:58.146214 : Epoch  1, Batch    460, Loss  0.893737, Average Loss  0.906006, Time  0.266646
2021-09-15 16:05:01.173007 : Epoch  1, Batch    461, Loss  0.874513, Average Loss  0.905702, Time  0.266374
2021-09-15 16:05:04.203706 : Epoch  1, Batch    462, Loss  0.897333, Average Loss  0.905522, Time  0.265894
2021-09-15 16:05:07.205705 : Epoch  1, Batch    463, Loss  0.894765, Average Loss  0.905391, Time  0.264872
2021-09-15 16:05:10.190089 : Epoch  1, Batch    464, Loss  0.893449, Average Loss  0.905163, Time  0.265700
2021-09-15 16:05:13.216750 : Epoch  1, Batch    465, Loss  0.884450, Average Loss  0.904981, Time  0.266238
2021-09-15 16:05:16.239429 : Epoch  1, Batch    466, Loss  0.888037, Average Loss  0.904795, Time  0.265822
2021-09-15 16:05:19.240785 : Epoch  1, Batch    467, Loss  0.907926, Average Loss  0.904652, Time  0.264957
2021-09-15 16:05:22.229424 : Epoch  1, Batch    468, Loss  0.894646, Average Loss  0.904596, Time  0.265776
2021-09-15 16:05:25.248011 : Epoch  1, Batch    469, Loss  0.897639, Average Loss  0.904409, Time  0.275987
2021-09-15 16:05:28.285221 : Epoch  1, Batch    470, Loss  0.887999, Average Loss  0.904233, Time  0.266333
2021-09-15 16:05:31.318516 : Epoch  1, Batch    471, Loss  0.889648, Average Loss  0.904031, Time  0.266616
2021-09-15 16:05:34.331949 : Epoch  1, Batch    472, Loss  0.869038, Average Loss  0.903719, Time  0.265505
2021-09-15 16:05:37.315276 : Epoch  1, Batch    473, Loss  0.860230, Average Loss  0.903386, Time  0.265436
2021-09-15 16:05:40.329051 : Epoch  1, Batch    474, Loss  0.890887, Average Loss  0.903268, Time  0.267167
2021-09-15 16:05:43.342068 : Epoch  1, Batch    475, Loss  0.900798, Average Loss  0.903193, Time  0.264892
2021-09-15 16:05:46.339775 : Epoch  1, Batch    476, Loss  0.903997, Average Loss  0.903145, Time  0.265393
2021-09-15 16:05:49.361842 : Epoch  1, Batch    477, Loss  0.885220, Average Loss  0.903030, Time  0.265615
2021-09-15 16:05:52.406780 : Epoch  1, Batch    478, Loss  0.889116, Average Loss  0.902791, Time  0.266212
2021-09-15 16:05:55.422646 : Epoch  1, Batch    479, Loss  0.893707, Average Loss  0.902756, Time  0.265736
2021-09-15 16:05:58.427288 : Epoch  1, Batch    480, Loss  0.883185, Average Loss  0.902538, Time  0.264202
2021-09-15 16:06:01.416571 : Epoch  1, Batch    481, Loss  0.886604, Average Loss  0.902298, Time  0.265020
2021-09-15 16:06:04.446362 : Epoch  1, Batch    482, Loss  0.890128, Average Loss  0.902087, Time  0.266061
2021-09-15 16:06:07.438156 : Epoch  1, Batch    483, Loss  0.900322, Average Loss  0.902019, Time  0.265136
2021-09-15 16:06:10.447075 : Epoch  1, Batch    484, Loss  0.900222, Average Loss  0.901783, Time  0.276879
2021-09-15 16:06:13.438398 : Epoch  1, Batch    485, Loss  0.909625, Average Loss  0.901755, Time  0.265932
2021-09-15 16:06:16.423872 : Epoch  1, Batch    486, Loss  0.891009, Average Loss  0.901668, Time  0.265558
2021-09-15 16:06:19.409289 : Epoch  1, Batch    487, Loss  0.894628, Average Loss  0.901517, Time  0.266128
2021-09-15 16:06:22.396181 : Epoch  1, Batch    488, Loss  0.899486, Average Loss  0.901384, Time  0.266494
2021-09-15 16:06:25.400193 : Epoch  1, Batch    489, Loss  0.880342, Average Loss  0.901342, Time  0.266539
2021-09-15 16:06:28.396128 : Epoch  1, Batch    490, Loss  0.898141, Average Loss  0.901262, Time  0.265778
2021-09-15 16:06:31.420939 : Epoch  1, Batch    491, Loss  0.906246, Average Loss  0.901215, Time  0.265612
2021-09-15 16:06:34.428763 : Epoch  1, Batch    492, Loss  0.851527, Average Loss  0.900916, Time  0.265564
2021-09-15 16:06:37.442641 : Epoch  1, Batch    493, Loss  0.889404, Average Loss  0.900748, Time  0.266791
2021-09-15 16:06:40.408076 : Epoch  1, Batch    494, Loss  0.893131, Average Loss  0.900637, Time  0.262725
2021-09-15 16:06:43.379924 : Epoch  1, Batch    495, Loss  0.891305, Average Loss  0.900434, Time  0.265255
2021-09-15 16:06:46.365795 : Epoch  1, Batch    496, Loss  0.896820, Average Loss  0.900286, Time  0.265208
2021-09-15 16:06:49.361439 : Epoch  1, Batch    497, Loss  0.886013, Average Loss  0.900096, Time  0.265408
2021-09-15 16:06:52.375023 : Epoch  1, Batch    498, Loss  0.905091, Average Loss  0.900051, Time  0.265327
2021-09-15 16:06:55.416276 : Epoch  1, Batch    499, Loss  0.883238, Average Loss  0.899801, Time  0.277648
2021-09-15 16:06:58.434221 : Epoch  1, Batch    500, Loss  0.880376, Average Loss  0.899651, Time  0.265458
2021-09-15 16:11:38.481389 : CheckPoint: Validation Loss  0.00030683, Best Loss  0.00030683
2021-09-15 16:11:38.509960 : Best Model Updated
2021-09-15 16:11:42.243931 : Epoch  1, Batch    501, Loss  0.883305, Average Loss  0.899433, Time  0.266929
2021-09-15 16:11:45.234180 : Epoch  1, Batch    502, Loss  0.899810, Average Loss  0.899384, Time  0.265136
2021-09-15 16:11:48.262524 : Epoch  1, Batch    503, Loss  0.886996, Average Loss  0.899307, Time  0.266299
2021-09-15 16:11:51.245331 : Epoch  1, Batch    504, Loss  0.880170, Average Loss  0.899184, Time  0.265218
2021-09-15 16:11:54.249073 : Epoch  1, Batch    505, Loss  0.891520, Average Loss  0.899108, Time  0.266455
2021-09-15 16:11:57.263161 : Epoch  1, Batch    506, Loss  0.901631, Average Loss  0.899078, Time  0.266256
2021-09-15 16:12:00.262146 : Epoch  1, Batch    507, Loss  0.897869, Average Loss  0.899010, Time  0.265533
2021-09-15 16:12:03.244858 : Epoch  1, Batch    508, Loss  0.869074, Average Loss  0.898745, Time  0.266258
2021-09-15 16:12:06.240749 : Epoch  1, Batch    509, Loss  0.877141, Average Loss  0.898529, Time  0.266048
2021-09-15 16:12:09.230791 : Epoch  1, Batch    510, Loss  0.908117, Average Loss  0.898562, Time  0.265401
2021-09-15 16:12:12.231358 : Epoch  1, Batch    511, Loss  0.919321, Average Loss  0.898508, Time  0.265319
2021-09-15 16:12:15.214629 : Epoch  1, Batch    512, Loss  0.901740, Average Loss  0.898460, Time  0.265855
2021-09-15 16:12:18.194368 : Epoch  1, Batch    513, Loss  0.896906, Average Loss  0.898442, Time  0.273646
2021-09-15 16:12:21.200658 : Epoch  1, Batch    514, Loss  0.883021, Average Loss  0.898267, Time  0.265378
2021-09-15 16:12:24.176989 : Epoch  1, Batch    515, Loss  0.883417, Average Loss  0.898228, Time  0.265802
2021-09-15 16:12:27.174957 : Epoch  1, Batch    516, Loss  0.893499, Average Loss  0.898200, Time  0.265030
2021-09-15 16:12:30.159498 : Epoch  1, Batch    517, Loss  0.886031, Average Loss  0.897981, Time  0.265158
2021-09-15 16:12:33.168005 : Epoch  1, Batch    518, Loss  0.882702, Average Loss  0.897901, Time  0.265416
2021-09-15 16:12:36.167300 : Epoch  1, Batch    519, Loss  0.872463, Average Loss  0.897767, Time  0.265383
2021-09-15 16:12:39.154165 : Epoch  1, Batch    520, Loss  0.902505, Average Loss  0.897767, Time  0.265668
2021-09-15 16:12:42.138368 : Epoch  1, Batch    521, Loss  0.910576, Average Loss  0.897755, Time  0.264932
2021-09-15 16:12:45.132279 : Epoch  1, Batch    522, Loss  0.894608, Average Loss  0.897779, Time  0.264678
2021-09-15 16:12:48.125113 : Epoch  1, Batch    523, Loss  0.899187, Average Loss  0.897794, Time  0.265638
2021-09-15 16:12:51.118082 : Epoch  1, Batch    524, Loss  0.886496, Average Loss  0.897784, Time  0.264419
2021-09-15 16:12:54.089399 : Epoch  1, Batch    525, Loss  0.891783, Average Loss  0.897831, Time  0.264850
2021-09-15 16:12:57.111676 : Epoch  1, Batch    526, Loss  0.893966, Average Loss  0.897813, Time  0.265693
2021-09-15 16:13:00.113687 : Epoch  1, Batch    527, Loss  0.888892, Average Loss  0.897665, Time  0.267306
2021-09-15 16:13:03.148415 : Epoch  1, Batch    528, Loss  0.880058, Average Loss  0.897535, Time  0.275404
2021-09-15 16:13:06.163149 : Epoch  1, Batch    529, Loss  0.882711, Average Loss  0.897432, Time  0.265341
2021-09-15 16:13:09.156224 : Epoch  1, Batch    530, Loss  0.908900, Average Loss  0.897456, Time  0.265646
2021-09-15 16:13:12.169244 : Epoch  1, Batch    531, Loss  0.901926, Average Loss  0.897393, Time  0.265770
2021-09-15 16:13:15.151310 : Epoch  1, Batch    532, Loss  0.893177, Average Loss  0.897329, Time  0.265155
2021-09-15 16:13:18.139821 : Epoch  1, Batch    533, Loss  0.906623, Average Loss  0.897184, Time  0.265245
2021-09-15 16:13:21.158555 : Epoch  1, Batch    534, Loss  0.894743, Average Loss  0.897123, Time  0.264623
2021-09-15 16:13:24.179490 : Epoch  1, Batch    535, Loss  0.888998, Average Loss  0.897104, Time  0.266062
2021-09-15 16:13:27.175653 : Epoch  1, Batch    536, Loss  0.901378, Average Loss  0.896998, Time  0.265994
2021-09-15 16:13:30.170466 : Epoch  1, Batch    537, Loss  0.882216, Average Loss  0.896805, Time  0.266076
2021-09-15 16:13:33.183764 : Epoch  1, Batch    538, Loss  0.890561, Average Loss  0.896689, Time  0.266236
2021-09-15 16:13:36.184020 : Epoch  1, Batch    539, Loss  0.895675, Average Loss  0.896608, Time  0.265745
2021-09-15 16:13:39.166570 : Epoch  1, Batch    540, Loss  0.904904, Average Loss  0.896559, Time  0.266268
2021-09-15 16:13:42.164237 : Epoch  1, Batch    541, Loss  0.894525, Average Loss  0.896452, Time  0.264910
2021-09-15 16:13:45.124239 : Epoch  1, Batch    542, Loss  0.898283, Average Loss  0.896397, Time  0.265237
2021-09-15 16:13:48.099398 : Epoch  1, Batch    543, Loss  0.884706, Average Loss  0.896354, Time  0.265169
2021-09-15 16:13:51.094830 : Epoch  1, Batch    544, Loss  0.893984, Average Loss  0.896179, Time  0.275319
2021-09-15 16:13:54.111805 : Epoch  1, Batch    545, Loss  0.865465, Average Loss  0.896034, Time  0.267848
2021-09-15 16:13:57.121080 : Epoch  1, Batch    546, Loss  0.882135, Average Loss  0.895980, Time  0.266976
2021-09-15 16:14:00.158877 : Epoch  1, Batch    547, Loss  0.897271, Average Loss  0.895898, Time  0.265649
2021-09-15 16:14:03.150871 : Epoch  1, Batch    548, Loss  0.874657, Average Loss  0.895748, Time  0.266674
2021-09-15 16:14:06.172467 : Epoch  1, Batch    549, Loss  0.901943, Average Loss  0.895660, Time  0.265519
2021-09-15 16:14:09.183256 : Epoch  1, Batch    550, Loss  0.868427, Average Loss  0.895471, Time  0.266400
2021-09-15 16:14:12.162266 : Epoch  1, Batch    551, Loss  0.915741, Average Loss  0.895462, Time  0.266467
2021-09-15 16:14:15.176786 : Epoch  1, Batch    552, Loss  0.886134, Average Loss  0.895358, Time  0.265514
2021-09-15 16:14:18.157943 : Epoch  1, Batch    553, Loss  0.898937, Average Loss  0.895316, Time  0.266436
2021-09-15 16:14:21.151223 : Epoch  1, Batch    554, Loss  0.876877, Average Loss  0.895244, Time  0.265579
2021-09-15 16:14:24.117482 : Epoch  1, Batch    555, Loss  0.899947, Average Loss  0.895314, Time  0.265406
2021-09-15 16:14:27.094969 : Epoch  1, Batch    556, Loss  0.907245, Average Loss  0.895364, Time  0.264868
2021-09-15 16:14:30.069463 : Epoch  1, Batch    557, Loss  0.894936, Average Loss  0.895214, Time  0.265233
2021-09-15 16:14:33.053515 : Epoch  1, Batch    558, Loss  0.906142, Average Loss  0.895301, Time  0.265812
2021-09-15 16:14:36.063392 : Epoch  1, Batch    559, Loss  0.876135, Average Loss  0.895251, Time  0.274093
2021-09-15 16:14:39.062988 : Epoch  1, Batch    560, Loss  0.895719, Average Loss  0.895119, Time  0.265100
2021-09-15 16:14:42.067558 : Epoch  1, Batch    561, Loss  0.887887, Average Loss  0.895024, Time  0.265377
2021-09-15 16:14:45.043770 : Epoch  1, Batch    562, Loss  0.897103, Average Loss  0.895039, Time  0.265190
2021-09-15 16:14:48.023689 : Epoch  1, Batch    563, Loss  0.893397, Average Loss  0.895030, Time  0.264840
2021-09-15 16:14:50.993894 : Epoch  1, Batch    564, Loss  0.886804, Average Loss  0.894952, Time  0.265347
2021-09-15 16:14:53.970141 : Epoch  1, Batch    565, Loss  0.873391, Average Loss  0.894831, Time  0.265273
2021-09-15 16:14:56.964662 : Epoch  1, Batch    566, Loss  0.884617, Average Loss  0.894748, Time  0.265911
2021-09-15 16:14:59.945354 : Epoch  1, Batch    567, Loss  0.885049, Average Loss  0.894716, Time  0.266989
2021-09-15 16:15:02.941743 : Epoch  1, Batch    568, Loss  0.871780, Average Loss  0.894550, Time  0.266189
2021-09-15 16:15:05.948706 : Epoch  1, Batch    569, Loss  0.883772, Average Loss  0.894473, Time  0.267062
2021-09-15 16:15:08.961211 : Epoch  1, Batch    570, Loss  0.885838, Average Loss  0.894366, Time  0.265283
2021-09-15 16:15:11.949856 : Epoch  1, Batch    571, Loss  0.899669, Average Loss  0.894347, Time  0.265472
2021-09-15 16:15:14.940730 : Epoch  1, Batch    572, Loss  0.889021, Average Loss  0.894360, Time  0.266892
2021-09-15 16:15:17.923629 : Epoch  1, Batch    573, Loss  0.878395, Average Loss  0.894255, Time  0.264468
2021-09-15 16:15:20.927910 : Epoch  1, Batch    574, Loss  0.882741, Average Loss  0.894235, Time  0.278352
2021-09-15 16:15:23.901850 : Epoch  1, Batch    575, Loss  0.894636, Average Loss  0.894216, Time  0.266001
2021-09-15 16:15:26.916449 : Epoch  1, Batch    576, Loss  0.867916, Average Loss  0.894107, Time  0.265271
2021-09-15 16:15:29.894364 : Epoch  1, Batch    577, Loss  0.867065, Average Loss  0.893924, Time  0.265604
2021-09-15 16:15:32.916682 : Epoch  1, Batch    578, Loss  0.877434, Average Loss  0.893786, Time  0.265587
2021-09-15 16:15:35.937425 : Epoch  1, Batch    579, Loss  0.894528, Average Loss  0.893816, Time  0.266968
2021-09-15 16:15:38.959528 : Epoch  1, Batch    580, Loss  0.878267, Average Loss  0.893712, Time  0.267281
2021-09-15 16:15:41.950551 : Epoch  1, Batch    581, Loss  0.887684, Average Loss  0.893620, Time  0.264570
2021-09-15 16:15:44.943734 : Epoch  1, Batch    582, Loss  0.883204, Average Loss  0.893593, Time  0.265996
2021-09-15 16:15:47.935330 : Epoch  1, Batch    583, Loss  0.884733, Average Loss  0.893436, Time  0.265773
2021-09-15 16:15:50.942094 : Epoch  1, Batch    584, Loss  0.893695, Average Loss  0.893508, Time  0.265799
2021-09-15 16:15:53.944928 : Epoch  1, Batch    585, Loss  0.887522, Average Loss  0.893333, Time  0.266759
2021-09-15 16:15:56.941497 : Epoch  1, Batch    586, Loss  0.887873, Average Loss  0.893300, Time  0.263808
2021-09-15 16:15:59.923105 : Epoch  1, Batch    587, Loss  0.888628, Average Loss  0.893271, Time  0.266331
2021-09-15 16:16:02.955741 : Epoch  1, Batch    588, Loss  0.887085, Average Loss  0.893204, Time  0.266770
2021-09-15 16:16:05.964439 : Epoch  1, Batch    589, Loss  0.879811, Average Loss  0.893172, Time  0.276057
2021-09-15 16:16:08.950241 : Epoch  1, Batch    590, Loss  0.881605, Average Loss  0.892985, Time  0.265857
2021-09-15 16:16:11.938764 : Epoch  1, Batch    591, Loss  0.876524, Average Loss  0.892869, Time  0.266460
2021-09-15 16:16:14.926535 : Epoch  1, Batch    592, Loss  0.893304, Average Loss  0.892826, Time  0.266192
2021-09-15 16:16:17.940146 : Epoch  1, Batch    593, Loss  0.895940, Average Loss  0.892790, Time  0.265885
2021-09-15 16:16:20.921405 : Epoch  1, Batch    594, Loss  0.891461, Average Loss  0.892703, Time  0.264016
2021-09-15 16:16:23.893845 : Epoch  1, Batch    595, Loss  0.892915, Average Loss  0.892686, Time  0.265199
2021-09-15 16:16:26.883534 : Epoch  1, Batch    596, Loss  0.889004, Average Loss  0.892621, Time  0.266369
2021-09-15 16:16:29.869011 : Epoch  1, Batch    597, Loss  0.902063, Average Loss  0.892589, Time  0.263548
2021-09-15 16:16:32.828117 : Epoch  1, Batch    598, Loss  0.892238, Average Loss  0.892602, Time  0.266073
2021-09-15 16:16:35.829451 : Epoch  1, Batch    599, Loss  0.889800, Average Loss  0.892525, Time  0.265175
2021-09-15 16:16:38.847545 : Epoch  1, Batch    600, Loss  0.877567, Average Loss  0.892380, Time  0.265501
2021-09-15 16:21:19.738295 : CheckPoint: Validation Loss  0.00030065, Best Loss  0.00030065
2021-09-15 16:21:19.764883 : Best Model Updated
2021-09-15 16:21:23.431526 : Epoch  1, Batch    601, Loss  0.899410, Average Loss  0.892428, Time  0.268258
2021-09-15 16:21:26.431954 : Epoch  1, Batch    602, Loss  0.899810, Average Loss  0.892379, Time  0.276849
2021-09-15 16:21:29.415492 : Epoch  1, Batch    603, Loss  0.889444, Average Loss  0.892326, Time  0.265989
2021-09-15 16:21:32.439336 : Epoch  1, Batch    604, Loss  0.881756, Average Loss  0.892251, Time  0.265912
2021-09-15 16:21:35.412313 : Epoch  1, Batch    605, Loss  0.913218, Average Loss  0.892428, Time  0.265447
2021-09-15 16:21:38.390696 : Epoch  1, Batch    606, Loss  0.877864, Average Loss  0.892256, Time  0.267210
2021-09-15 16:21:41.377794 : Epoch  1, Batch    607, Loss  0.897110, Average Loss  0.892234, Time  0.267534
2021-09-15 16:21:44.365413 : Epoch  1, Batch    608, Loss  0.882378, Average Loss  0.892074, Time  0.264907
2021-09-15 16:21:47.340273 : Epoch  1, Batch    609, Loss  0.883932, Average Loss  0.892044, Time  0.265342
2021-09-15 16:21:50.346790 : Epoch  1, Batch    610, Loss  0.885868, Average Loss  0.891967, Time  0.265561
2021-09-15 16:21:53.332080 : Epoch  1, Batch    611, Loss  0.903119, Average Loss  0.892027, Time  0.266575
2021-09-15 16:21:56.351374 : Epoch  1, Batch    612, Loss  0.901806, Average Loss  0.892104, Time  0.266962
2021-09-15 16:21:59.342389 : Epoch  1, Batch    613, Loss  0.891922, Average Loss  0.892086, Time  0.266045
2021-09-15 16:22:02.352976 : Epoch  1, Batch    614, Loss  0.898084, Average Loss  0.892193, Time  0.266951
2021-09-15 16:22:05.330375 : Epoch  1, Batch    615, Loss  0.873822, Average Loss  0.892048, Time  0.265273
2021-09-15 16:22:08.313192 : Epoch  1, Batch    616, Loss  0.881349, Average Loss  0.892077, Time  0.265073
2021-09-15 16:22:11.292469 : Epoch  1, Batch    617, Loss  0.891843, Average Loss  0.892049, Time  0.272385
2021-09-15 16:22:14.290522 : Epoch  1, Batch    618, Loss  0.881776, Average Loss  0.891917, Time  0.265961
2021-09-15 16:22:17.292460 : Epoch  1, Batch    619, Loss  0.885889, Average Loss  0.891710, Time  0.265312
2021-09-15 16:22:20.281449 : Epoch  1, Batch    620, Loss  0.875179, Average Loss  0.891550, Time  0.265352
2021-09-15 16:22:23.247060 : Epoch  1, Batch    621, Loss  0.891458, Average Loss  0.891477, Time  0.265390
2021-09-15 16:22:26.221855 : Epoch  1, Batch    622, Loss  0.885749, Average Loss  0.891333, Time  0.265537
2021-09-15 16:22:29.195007 : Epoch  1, Batch    623, Loss  0.898447, Average Loss  0.891239, Time  0.266669
2021-09-15 16:22:32.181961 : Epoch  1, Batch    624, Loss  0.905474, Average Loss  0.891331, Time  0.265520
2021-09-15 16:22:35.162496 : Epoch  1, Batch    625, Loss  0.876916, Average Loss  0.891221, Time  0.265615
2021-09-15 16:22:38.147148 : Epoch  1, Batch    626, Loss  0.872637, Average Loss  0.891102, Time  0.265161
2021-09-15 16:22:41.116713 : Epoch  1, Batch    627, Loss  0.872355, Average Loss  0.890976, Time  0.265172
2021-09-15 16:22:44.095850 : Epoch  1, Batch    628, Loss  0.876626, Average Loss  0.890849, Time  0.266873
2021-09-15 16:22:47.081529 : Epoch  1, Batch    629, Loss  0.882498, Average Loss  0.890707, Time  0.267069
2021-09-15 16:22:50.058259 : Epoch  1, Batch    630, Loss  0.902886, Average Loss  0.890763, Time  0.266888
2021-09-15 16:22:53.057007 : Epoch  1, Batch    631, Loss  0.901688, Average Loss  0.890750, Time  0.265585
2021-09-15 16:22:56.035366 : Epoch  1, Batch    632, Loss  0.883120, Average Loss  0.890664, Time  0.267590
2021-09-15 16:22:59.018737 : Epoch  1, Batch    633, Loss  0.887219, Average Loss  0.890688, Time  0.276260
2021-09-15 16:23:02.015465 : Epoch  1, Batch    634, Loss  0.859931, Average Loss  0.890477, Time  0.266003
2021-09-15 16:23:05.010830 : Epoch  1, Batch    635, Loss  0.861585, Average Loss  0.890174, Time  0.265359
2021-09-15 16:23:07.984226 : Epoch  1, Batch    636, Loss  0.898613, Average Loss  0.890222, Time  0.266010
2021-09-15 16:23:10.969807 : Epoch  1, Batch    637, Loss  0.882253, Average Loss  0.890179, Time  0.265573
2021-09-15 16:23:13.944028 : Epoch  1, Batch    638, Loss  0.866230, Average Loss  0.890009, Time  0.266119
2021-09-15 16:23:16.923422 : Epoch  1, Batch    639, Loss  0.902403, Average Loss  0.890004, Time  0.265500
2021-09-15 16:23:19.897907 : Epoch  1, Batch    640, Loss  0.905591, Average Loss  0.890089, Time  0.265307
2021-09-15 16:23:22.893399 : Epoch  1, Batch    641, Loss  0.896705, Average Loss  0.890132, Time  0.266188
2021-09-15 16:23:25.862314 : Epoch  1, Batch    642, Loss  0.889422, Average Loss  0.890139, Time  0.265230
2021-09-15 16:23:28.857813 : Epoch  1, Batch    643, Loss  0.906502, Average Loss  0.890231, Time  0.264374
2021-09-15 16:23:31.826638 : Epoch  1, Batch    644, Loss  0.886367, Average Loss  0.890128, Time  0.266970
2021-09-15 16:23:34.820691 : Epoch  1, Batch    645, Loss  0.865118, Average Loss  0.889981, Time  0.265401
2021-09-15 16:23:37.799507 : Epoch  1, Batch    646, Loss  0.880330, Average Loss  0.889917, Time  0.266109
2021-09-15 16:23:40.769612 : Epoch  1, Batch    647, Loss  0.892221, Average Loss  0.889886, Time  0.265709
2021-09-15 16:23:43.763487 : Epoch  1, Batch    648, Loss  0.888452, Average Loss  0.889968, Time  0.279103
2021-09-15 16:23:46.752222 : Epoch  1, Batch    649, Loss  0.880082, Average Loss  0.889953, Time  0.266658
2021-09-15 16:23:49.751850 : Epoch  1, Batch    650, Loss  0.883599, Average Loss  0.889880, Time  0.266351
2021-09-15 16:23:52.724364 : Epoch  1, Batch    651, Loss  0.886917, Average Loss  0.889769, Time  0.266323
2021-09-15 16:23:55.699031 : Epoch  1, Batch    652, Loss  0.879056, Average Loss  0.889732, Time  0.265401
2021-09-15 16:23:58.662074 : Epoch  1, Batch    653, Loss  0.902101, Average Loss  0.889758, Time  0.266322
2021-09-15 16:24:01.615384 : Epoch  1, Batch    654, Loss  0.885130, Average Loss  0.889653, Time  0.266182
2021-09-15 16:24:04.617044 : Epoch  1, Batch    655, Loss  0.912131, Average Loss  0.889793, Time  0.264641
2021-09-15 16:24:07.592207 : Epoch  1, Batch    656, Loss  0.875231, Average Loss  0.889663, Time  0.265395
2021-09-15 16:24:10.563904 : Epoch  1, Batch    657, Loss  0.890065, Average Loss  0.889557, Time  0.265565
2021-09-15 16:24:13.545728 : Epoch  1, Batch    658, Loss  0.874865, Average Loss  0.889370, Time  0.264939
2021-09-15 16:24:16.516955 : Epoch  1, Batch    659, Loss  0.870702, Average Loss  0.889220, Time  0.266022
2021-09-15 16:24:19.484115 : Epoch  1, Batch    660, Loss  0.879650, Average Loss  0.889150, Time  0.265682
2021-09-15 16:24:22.485604 : Epoch  1, Batch    661, Loss  0.886303, Average Loss  0.889209, Time  0.265599
2021-09-15 16:24:25.459542 : Epoch  1, Batch    662, Loss  0.877279, Average Loss  0.889108, Time  0.266571
2021-09-15 16:24:28.486341 : Epoch  1, Batch    663, Loss  0.871622, Average Loss  0.888993, Time  0.273222
2021-09-15 16:24:31.476053 : Epoch  1, Batch    664, Loss  0.898923, Average Loss  0.889020, Time  0.265131
2021-09-15 16:24:34.445489 : Epoch  1, Batch    665, Loss  0.878823, Average Loss  0.888992, Time  0.265605
2021-09-15 16:24:37.464347 : Epoch  1, Batch    666, Loss  0.887547, Average Loss  0.888989, Time  0.266265
2021-09-15 16:24:40.468151 : Epoch  1, Batch    667, Loss  0.872897, Average Loss  0.888814, Time  0.266414
2021-09-15 16:24:43.445952 : Epoch  1, Batch    668, Loss  0.856153, Average Loss  0.888622, Time  0.267025
2021-09-15 16:24:46.438499 : Epoch  1, Batch    669, Loss  0.889801, Average Loss  0.888583, Time  0.264911
2021-09-15 16:24:49.420992 : Epoch  1, Batch    670, Loss  0.883381, Average Loss  0.888560, Time  0.266439
2021-09-15 16:24:52.394634 : Epoch  1, Batch    671, Loss  0.894626, Average Loss  0.888584, Time  0.265978
2021-09-15 16:24:55.378299 : Epoch  1, Batch    672, Loss  0.861770, Average Loss  0.888548, Time  0.266117
2021-09-15 16:24:58.400812 : Epoch  1, Batch    673, Loss  0.889760, Average Loss  0.888696, Time  0.266104
2021-09-15 16:25:01.399628 : Epoch  1, Batch    674, Loss  0.874917, Average Loss  0.888616, Time  0.266347
2021-09-15 16:25:04.403037 : Epoch  1, Batch    675, Loss  0.886606, Average Loss  0.888545, Time  0.265894
2021-09-15 16:25:07.395820 : Epoch  1, Batch    676, Loss  0.875887, Average Loss  0.888404, Time  0.265877
2021-09-15 16:25:10.342734 : Epoch  1, Batch    677, Loss  0.902008, Average Loss  0.888488, Time  0.264920
2021-09-15 16:25:13.330624 : Epoch  1, Batch    678, Loss  0.880471, Average Loss  0.888445, Time  0.278367
2021-09-15 16:25:16.315190 : Epoch  1, Batch    679, Loss  0.889293, Average Loss  0.888423, Time  0.266411
2021-09-15 16:25:19.286525 : Epoch  1, Batch    680, Loss  0.876774, Average Loss  0.888391, Time  0.265706
2021-09-15 16:25:22.283906 : Epoch  1, Batch    681, Loss  0.879040, Average Loss  0.888353, Time  0.265567
2021-09-15 16:25:25.264514 : Epoch  1, Batch    682, Loss  0.902945, Average Loss  0.888417, Time  0.264671
2021-09-15 16:25:28.241119 : Epoch  1, Batch    683, Loss  0.887168, Average Loss  0.888351, Time  0.266843
2021-09-15 16:25:31.230079 : Epoch  1, Batch    684, Loss  0.890515, Average Loss  0.888303, Time  0.265327
2021-09-15 16:25:34.248430 : Epoch  1, Batch    685, Loss  0.877985, Average Loss  0.888145, Time  0.265116
2021-09-15 16:25:37.236846 : Epoch  1, Batch    686, Loss  0.896518, Average Loss  0.888172, Time  0.267869
2021-09-15 16:25:40.267993 : Epoch  1, Batch    687, Loss  0.875414, Average Loss  0.888076, Time  0.266110
2021-09-15 16:25:43.253185 : Epoch  1, Batch    688, Loss  0.894469, Average Loss  0.888051, Time  0.265265
2021-09-15 16:25:46.267067 : Epoch  1, Batch    689, Loss  0.886979, Average Loss  0.888084, Time  0.267215
2021-09-15 16:25:49.267931 : Epoch  1, Batch    690, Loss  0.901173, Average Loss  0.888099, Time  0.265631
2021-09-15 16:25:52.227118 : Epoch  1, Batch    691, Loss  0.856500, Average Loss  0.887851, Time  0.266851
2021-09-15 16:25:55.195124 : Epoch  1, Batch    692, Loss  0.892475, Average Loss  0.888056, Time  0.266057
2021-09-15 16:25:58.198671 : Epoch  1, Batch    693, Loss  0.874851, Average Loss  0.887983, Time  0.278698
2021-09-15 16:26:01.205214 : Epoch  1, Batch    694, Loss  0.893341, Average Loss  0.887984, Time  0.265692
2021-09-15 16:26:04.185515 : Epoch  1, Batch    695, Loss  0.900950, Average Loss  0.888032, Time  0.265705
2021-09-15 16:26:07.178932 : Epoch  1, Batch    696, Loss  0.866856, Average Loss  0.887882, Time  0.265121
2021-09-15 16:26:10.157175 : Epoch  1, Batch    697, Loss  0.885219, Average Loss  0.887878, Time  0.266113
2021-09-15 16:26:13.156821 : Epoch  1, Batch    698, Loss  0.894134, Average Loss  0.887823, Time  0.265711
2021-09-15 16:26:16.118947 : Epoch  1, Batch    699, Loss  0.880049, Average Loss  0.887808, Time  0.264287
2021-09-15 16:26:19.136324 : Epoch  1, Batch    700, Loss  0.877049, Average Loss  0.887791, Time  0.266686
2021-09-15 16:30:58.178116 : CheckPoint: Validation Loss  0.00030653, Best Loss  0.00030065
2021-09-15 16:31:01.187558 : Epoch  1, Batch    701, Loss  0.868231, Average Loss  0.887715, Time  0.267292
2021-09-15 16:31:04.159620 : Epoch  1, Batch    702, Loss  0.875106, Average Loss  0.887592, Time  0.265465
2021-09-15 16:31:07.148957 : Epoch  1, Batch    703, Loss  0.898746, Average Loss  0.887651, Time  0.266425
2021-09-15 16:31:10.150449 : Epoch  1, Batch    704, Loss  0.874485, Average Loss  0.887622, Time  0.266133
2021-09-15 16:31:13.167345 : Epoch  1, Batch    705, Loss  0.853358, Average Loss  0.887431, Time  0.265234
2021-09-15 16:31:16.171199 : Epoch  1, Batch    706, Loss  0.883574, Average Loss  0.887341, Time  0.266014
2021-09-15 16:31:19.177912 : Epoch  1, Batch    707, Loss  0.874739, Average Loss  0.887226, Time  0.266854
2021-09-15 16:31:22.160896 : Epoch  1, Batch    708, Loss  0.882433, Average Loss  0.887292, Time  0.276235
2021-09-15 16:31:25.161956 : Epoch  1, Batch    709, Loss  0.878825, Average Loss  0.887301, Time  0.267595
2021-09-15 16:31:28.159807 : Epoch  1, Batch    710, Loss  0.922096, Average Loss  0.887371, Time  0.265191
2021-09-15 16:31:31.151772 : Epoch  1, Batch    711, Loss  0.891543, Average Loss  0.887232, Time  0.265079
2021-09-15 16:31:34.125763 : Epoch  1, Batch    712, Loss  0.881630, Average Loss  0.887131, Time  0.266466
2021-09-15 16:31:37.106093 : Epoch  1, Batch    713, Loss  0.898056, Average Loss  0.887137, Time  0.265242
2021-09-15 16:31:40.091233 : Epoch  1, Batch    714, Loss  0.884503, Average Loss  0.887144, Time  0.265371
2021-09-15 16:31:43.079382 : Epoch  1, Batch    715, Loss  0.891594, Average Loss  0.887185, Time  0.266096
2021-09-15 16:31:46.104254 : Epoch  1, Batch    716, Loss  0.896045, Average Loss  0.887198, Time  0.266560
2021-09-15 16:31:49.108233 : Epoch  1, Batch    717, Loss  0.854625, Average Loss  0.887041, Time  0.266022
2021-09-15 16:31:52.088877 : Epoch  1, Batch    718, Loss  0.880741, Average Loss  0.887031, Time  0.264988
2021-09-15 16:31:55.076185 : Epoch  1, Batch    719, Loss  0.878667, Average Loss  0.887062, Time  0.265459
2021-09-15 16:31:58.073452 : Epoch  1, Batch    720, Loss  0.879344, Average Loss  0.886946, Time  0.266207
2021-09-15 16:32:01.062354 : Epoch  1, Batch    721, Loss  0.886258, Average Loss  0.886825, Time  0.265456
2021-09-15 16:32:04.048630 : Epoch  1, Batch    722, Loss  0.889975, Average Loss  0.886802, Time  0.264911
2021-09-15 16:32:07.047421 : Epoch  1, Batch    723, Loss  0.869977, Average Loss  0.886656, Time  0.265891
2021-09-15 16:32:10.036798 : Epoch  1, Batch    724, Loss  0.863111, Average Loss  0.886539, Time  0.275760
2021-09-15 16:32:13.009249 : Epoch  1, Batch    725, Loss  0.894324, Average Loss  0.886551, Time  0.265822
2021-09-15 16:32:15.991363 : Epoch  1, Batch    726, Loss  0.879496, Average Loss  0.886479, Time  0.266418
2021-09-15 16:32:18.992157 : Epoch  1, Batch    727, Loss  0.922697, Average Loss  0.886648, Time  0.267056
2021-09-15 16:32:21.978738 : Epoch  1, Batch    728, Loss  0.865353, Average Loss  0.886574, Time  0.265962
2021-09-15 16:32:24.991824 : Epoch  1, Batch    729, Loss  0.897378, Average Loss  0.886648, Time  0.264575
2021-09-15 16:32:27.962262 : Epoch  1, Batch    730, Loss  0.881657, Average Loss  0.886512, Time  0.266042
2021-09-15 16:32:30.952144 : Epoch  1, Batch    731, Loss  0.887456, Average Loss  0.886439, Time  0.266002
2021-09-15 16:32:33.929103 : Epoch  1, Batch    732, Loss  0.885481, Average Loss  0.886401, Time  0.266029
2021-09-15 16:32:36.898703 : Epoch  1, Batch    733, Loss  0.878511, Average Loss  0.886260, Time  0.266019
2021-09-15 16:32:39.869361 : Epoch  1, Batch    734, Loss  0.875886, Average Loss  0.886166, Time  0.265771
2021-09-15 16:32:42.861416 : Epoch  1, Batch    735, Loss  0.879678, Average Loss  0.886119, Time  0.265071
2021-09-15 16:32:45.831031 : Epoch  1, Batch    736, Loss  0.896931, Average Loss  0.886097, Time  0.265367
2021-09-15 16:32:48.802260 : Epoch  1, Batch    737, Loss  0.868930, Average Loss  0.886031, Time  0.265736
2021-09-15 16:32:51.771578 : Epoch  1, Batch    738, Loss  0.891429, Average Loss  0.886035, Time  0.265366
2021-09-15 16:32:54.756543 : Epoch  1, Batch    739, Loss  0.901791, Average Loss  0.886066, Time  0.277220
2021-09-15 16:32:57.715291 : Epoch  1, Batch    740, Loss  0.888823, Average Loss  0.885985, Time  0.266585
2021-09-15 16:33:00.673273 : Epoch  1, Batch    741, Loss  0.892959, Average Loss  0.885977, Time  0.264821
2021-09-15 16:33:03.649840 : Epoch  1, Batch    742, Loss  0.891619, Average Loss  0.885944, Time  0.266052
2021-09-15 16:33:06.623009 : Epoch  1, Batch    743, Loss  0.894887, Average Loss  0.885995, Time  0.266063
2021-09-15 16:33:09.612873 : Epoch  1, Batch    744, Loss  0.899262, Average Loss  0.886021, Time  0.265866
2021-09-15 16:33:12.598826 : Epoch  1, Batch    745, Loss  0.899611, Average Loss  0.886192, Time  0.265812
2021-09-15 16:33:15.570026 : Epoch  1, Batch    746, Loss  0.902650, Average Loss  0.886295, Time  0.265289
2021-09-15 16:33:18.545659 : Epoch  1, Batch    747, Loss  0.873648, Average Loss  0.886177, Time  0.265623
2021-09-15 16:33:21.517601 : Epoch  1, Batch    748, Loss  0.880219, Average Loss  0.886204, Time  0.267614
2021-09-15 16:33:24.508069 : Epoch  1, Batch    749, Loss  0.870661, Average Loss  0.886048, Time  0.266335
2021-09-15 16:33:27.517497 : Epoch  1, Batch    750, Loss  0.882772, Average Loss  0.886120, Time  0.266531
2021-09-15 16:33:30.493201 : Epoch  1, Batch    751, Loss  0.877038, Average Loss  0.885926, Time  0.266127
2021-09-15 16:33:33.466104 : Epoch  1, Batch    752, Loss  0.882700, Average Loss  0.885909, Time  0.266104
2021-09-15 16:33:36.458951 : Epoch  1, Batch    753, Loss  0.874329, Average Loss  0.885786, Time  0.266071
2021-09-15 16:33:39.436965 : Epoch  1, Batch    754, Loss  0.891417, Average Loss  0.885859, Time  0.275676
2021-09-15 16:33:42.413025 : Epoch  1, Batch    755, Loss  0.901100, Average Loss  0.885864, Time  0.265457
2021-09-15 16:33:45.419983 : Epoch  1, Batch    756, Loss  0.877494, Average Loss  0.885716, Time  0.266906
2021-09-15 16:33:48.402565 : Epoch  1, Batch    757, Loss  0.874901, Average Loss  0.885615, Time  0.264580
2021-09-15 16:33:51.378675 : Epoch  1, Batch    758, Loss  0.882805, Average Loss  0.885499, Time  0.264835
2021-09-15 16:33:54.342898 : Epoch  1, Batch    759, Loss  0.870777, Average Loss  0.885472, Time  0.266175
2021-09-15 16:33:57.316525 : Epoch  1, Batch    760, Loss  0.889830, Average Loss  0.885443, Time  0.264876
2021-09-15 16:34:00.318215 : Epoch  1, Batch    761, Loss  0.872811, Average Loss  0.885367, Time  0.266146
2021-09-15 16:34:03.304473 : Epoch  1, Batch    762, Loss  0.915888, Average Loss  0.885461, Time  0.265829
2021-09-15 16:34:06.293332 : Epoch  1, Batch    763, Loss  0.873505, Average Loss  0.885362, Time  0.264701
2021-09-15 16:34:09.262984 : Epoch  1, Batch    764, Loss  0.884952, Average Loss  0.885352, Time  0.265303
2021-09-15 16:34:12.251989 : Epoch  1, Batch    765, Loss  0.872845, Average Loss  0.885350, Time  0.266207
2021-09-15 16:34:15.230385 : Epoch  1, Batch    766, Loss  0.891857, Average Loss  0.885386, Time  0.265399
2021-09-15 16:34:18.205730 : Epoch  1, Batch    767, Loss  0.901410, Average Loss  0.885468, Time  0.265606
2021-09-15 16:34:21.209971 : Epoch  1, Batch    768, Loss  0.874395, Average Loss  0.885481, Time  0.266106
2021-09-15 16:34:24.215067 : Epoch  1, Batch    769, Loss  0.895619, Average Loss  0.885540, Time  0.276844
2021-09-15 16:34:27.208091 : Epoch  1, Batch    770, Loss  0.887429, Average Loss  0.885548, Time  0.267520
2021-09-15 16:34:30.220886 : Epoch  1, Batch    771, Loss  0.882413, Average Loss  0.885462, Time  0.265462
2021-09-15 16:34:33.188990 : Epoch  1, Batch    772, Loss  0.889509, Average Loss  0.885464, Time  0.264893
2021-09-15 16:34:36.204766 : Epoch  1, Batch    773, Loss  0.902497, Average Loss  0.885585, Time  0.265266
2021-09-15 16:34:39.224976 : Epoch  1, Batch    774, Loss  0.887263, Average Loss  0.885607, Time  0.266773
2021-09-15 16:34:42.232832 : Epoch  1, Batch    775, Loss  0.883168, Average Loss  0.885550, Time  0.265627
2021-09-15 16:34:45.230991 : Epoch  1, Batch    776, Loss  0.903098, Average Loss  0.885726, Time  0.265368
2021-09-15 16:34:48.249047 : Epoch  1, Batch    777, Loss  0.875809, Average Loss  0.885769, Time  0.265929
2021-09-15 16:34:51.252242 : Epoch  1, Batch    778, Loss  0.890496, Average Loss  0.885835, Time  0.267440
2021-09-15 16:34:54.224227 : Epoch  1, Batch    779, Loss  0.900918, Average Loss  0.885867, Time  0.265939
2021-09-15 16:34:57.266009 : Epoch  1, Batch    780, Loss  0.881180, Average Loss  0.885881, Time  0.265452
2021-09-15 16:35:00.258763 : Epoch  1, Batch    781, Loss  0.902212, Average Loss  0.885954, Time  0.265918
2021-09-15 16:35:03.273439 : Epoch  1, Batch    782, Loss  0.900095, Average Loss  0.886038, Time  0.266796
2021-09-15 16:35:06.271798 : Epoch  1, Batch    783, Loss  0.910278, Average Loss  0.886166, Time  0.265657
2021-09-15 16:35:09.281313 : Epoch  1, Batch    784, Loss  0.865430, Average Loss  0.886025, Time  0.279752
2021-09-15 16:35:12.266871 : Epoch  1, Batch    785, Loss  0.894000, Average Loss  0.886057, Time  0.265763
2021-09-15 16:35:15.236055 : Epoch  1, Batch    786, Loss  0.855933, Average Loss  0.885897, Time  0.265306
2021-09-15 16:35:18.216177 : Epoch  1, Batch    787, Loss  0.862492, Average Loss  0.885767, Time  0.265195
2021-09-15 16:35:21.203028 : Epoch  1, Batch    788, Loss  0.898911, Average Loss  0.885826, Time  0.267218
2021-09-15 16:35:24.172029 : Epoch  1, Batch    789, Loss  0.884101, Average Loss  0.885847, Time  0.265894
2021-09-15 16:35:27.164151 : Epoch  1, Batch    790, Loss  0.859516, Average Loss  0.885737, Time  0.266094
2021-09-15 16:35:30.128686 : Epoch  1, Batch    791, Loss  0.891937, Average Loss  0.885814, Time  0.265536
2021-09-15 16:35:33.117672 : Epoch  1, Batch    792, Loss  0.896224, Average Loss  0.885829, Time  0.266681
2021-09-15 16:35:36.112973 : Epoch  1, Batch    793, Loss  0.866720, Average Loss  0.885682, Time  0.265861
2021-09-15 16:35:39.095245 : Epoch  1, Batch    794, Loss  0.885526, Average Loss  0.885653, Time  0.265073
2021-09-15 16:35:42.090130 : Epoch  1, Batch    795, Loss  0.854930, Average Loss  0.885463, Time  0.266627
2021-09-15 16:35:45.097840 : Epoch  1, Batch    796, Loss  0.881582, Average Loss  0.885426, Time  0.265944
2021-09-15 16:35:48.100434 : Epoch  1, Batch    797, Loss  0.864498, Average Loss  0.885238, Time  0.265591
2021-09-15 16:35:51.094493 : Epoch  1, Batch    798, Loss  0.864874, Average Loss  0.885101, Time  0.267332
2021-09-15 16:35:54.073793 : Epoch  1, Batch    799, Loss  0.880918, Average Loss  0.885057, Time  0.276402
2021-09-15 16:35:57.070940 : Epoch  1, Batch    800, Loss  0.891579, Average Loss  0.885127, Time  0.266737
2021-09-15 16:40:35.938560 : CheckPoint: Validation Loss  0.00030949, Best Loss  0.00030065
2021-09-15 16:40:38.928642 : Epoch  1, Batch    801, Loss  0.875385, Average Loss  0.885007, Time  0.268876
2021-09-15 16:40:41.910974 : Epoch  1, Batch    802, Loss  0.901271, Average Loss  0.885014, Time  0.265706
2021-09-15 16:40:44.909069 : Epoch  1, Batch    803, Loss  0.880970, Average Loss  0.884972, Time  0.266488
2021-09-15 16:40:47.891171 : Epoch  1, Batch    804, Loss  0.880545, Average Loss  0.884966, Time  0.264172
2021-09-15 16:40:50.885646 : Epoch  1, Batch    805, Loss  0.864118, Average Loss  0.884720, Time  0.265678
2021-09-15 16:40:53.881632 : Epoch  1, Batch    806, Loss  0.875253, Average Loss  0.884707, Time  0.266486
2021-09-15 16:40:56.897957 : Epoch  1, Batch    807, Loss  0.863379, Average Loss  0.884538, Time  0.267641
2021-09-15 16:40:59.895211 : Epoch  1, Batch    808, Loss  0.862401, Average Loss  0.884438, Time  0.265202
2021-09-15 16:41:02.880272 : Epoch  1, Batch    809, Loss  0.880496, Average Loss  0.884421, Time  0.265589
2021-09-15 16:41:05.858722 : Epoch  1, Batch    810, Loss  0.881611, Average Loss  0.884400, Time  0.265862
2021-09-15 16:41:08.863975 : Epoch  1, Batch    811, Loss  0.909367, Average Loss  0.884431, Time  0.266255
2021-09-15 16:41:11.883036 : Epoch  1, Batch    812, Loss  0.872108, Average Loss  0.884283, Time  0.266110
2021-09-15 16:41:14.881405 : Epoch  1, Batch    813, Loss  0.876388, Average Loss  0.884205, Time  0.265388
2021-09-15 16:41:17.880767 : Epoch  1, Batch    814, Loss  0.890921, Average Loss  0.884169, Time  0.273453
2021-09-15 16:41:20.864906 : Epoch  1, Batch    815, Loss  0.866559, Average Loss  0.884133, Time  0.265360
2021-09-15 16:41:23.860483 : Epoch  1, Batch    816, Loss  0.885074, Average Loss  0.884152, Time  0.266249
2021-09-15 16:41:26.890020 : Epoch  1, Batch    817, Loss  0.869117, Average Loss  0.884038, Time  0.265408
2021-09-15 16:41:29.877641 : Epoch  1, Batch    818, Loss  0.878678, Average Loss  0.884022, Time  0.265089
2021-09-15 16:41:32.855007 : Epoch  1, Batch    819, Loss  0.902986, Average Loss  0.884108, Time  0.265366
2021-09-15 16:41:35.873219 : Epoch  1, Batch    820, Loss  0.883744, Average Loss  0.884151, Time  0.270434
2021-09-15 16:41:38.808071 : Epoch  1, Batch    821, Loss  0.883920, Average Loss  0.884113, Time  0.265387
2021-09-15 16:41:41.808120 : Epoch  1, Batch    822, Loss  0.869956, Average Loss  0.884034, Time  0.265828
2021-09-15 16:41:44.793225 : Epoch  1, Batch    823, Loss  0.885433, Average Loss  0.883969, Time  0.265529
2021-09-15 16:41:47.783511 : Epoch  1, Batch    824, Loss  0.878900, Average Loss  0.883836, Time  0.264772
2021-09-15 16:41:50.779565 : Epoch  1, Batch    825, Loss  0.890865, Average Loss  0.883906, Time  0.266483
2021-09-15 16:41:53.804919 : Epoch  1, Batch    826, Loss  0.895555, Average Loss  0.884020, Time  0.265940
2021-09-15 16:41:56.794427 : Epoch  1, Batch    827, Loss  0.915194, Average Loss  0.884235, Time  0.265202
2021-09-15 16:41:59.783024 : Epoch  1, Batch    828, Loss  0.889651, Average Loss  0.884300, Time  0.266921
2021-09-15 16:42:02.811054 : Epoch  1, Batch    829, Loss  0.875145, Average Loss  0.884263, Time  0.275359
2021-09-15 16:42:05.790078 : Epoch  1, Batch    830, Loss  0.882137, Average Loss  0.884159, Time  0.265784
2021-09-15 16:42:08.766388 : Epoch  1, Batch    831, Loss  0.874197, Average Loss  0.884022, Time  0.265952
2021-09-15 16:42:11.809325 : Epoch  1, Batch    832, Loss  0.875520, Average Loss  0.883984, Time  0.265888
2021-09-15 16:42:14.791953 : Epoch  1, Batch    833, Loss  0.873875, Average Loss  0.883917, Time  0.265538
2021-09-15 16:42:17.770400 : Epoch  1, Batch    834, Loss  0.887380, Average Loss  0.884054, Time  0.265272
2021-09-15 16:42:20.747980 : Epoch  1, Batch    835, Loss  0.873709, Average Loss  0.884115, Time  0.265540
2021-09-15 16:42:23.728078 : Epoch  1, Batch    836, Loss  0.894753, Average Loss  0.884096, Time  0.265199
2021-09-15 16:42:26.712430 : Epoch  1, Batch    837, Loss  0.887526, Average Loss  0.884122, Time  0.264867
2021-09-15 16:42:29.690405 : Epoch  1, Batch    838, Loss  0.882564, Average Loss  0.884204, Time  0.265234
2021-09-15 16:42:32.695066 : Epoch  1, Batch    839, Loss  0.879751, Average Loss  0.884090, Time  0.266002
2021-09-15 16:42:35.671623 : Epoch  1, Batch    840, Loss  0.876937, Average Loss  0.883947, Time  0.265295
2021-09-15 16:42:38.653930 : Epoch  1, Batch    841, Loss  0.905059, Average Loss  0.883989, Time  0.265429
2021-09-15 16:42:41.662302 : Epoch  1, Batch    842, Loss  0.892192, Average Loss  0.884003, Time  0.266842
2021-09-15 16:42:44.650604 : Epoch  1, Batch    843, Loss  0.886263, Average Loss  0.883902, Time  0.265067
2021-09-15 16:42:47.662686 : Epoch  1, Batch    844, Loss  0.881007, Average Loss  0.883875, Time  0.280363
2021-09-15 16:42:50.678943 : Epoch  1, Batch    845, Loss  0.865369, Average Loss  0.883876, Time  0.266991
2021-09-15 16:42:53.676491 : Epoch  1, Batch    846, Loss  0.866084, Average Loss  0.883805, Time  0.266010
2021-09-15 16:42:56.665144 : Epoch  1, Batch    847, Loss  0.876102, Average Loss  0.883724, Time  0.265737
2021-09-15 16:42:59.640429 : Epoch  1, Batch    848, Loss  0.882330, Average Loss  0.883694, Time  0.266403
2021-09-15 16:43:02.627926 : Epoch  1, Batch    849, Loss  0.884339, Average Loss  0.883715, Time  0.265091
2021-09-15 16:43:05.601507 : Epoch  1, Batch    850, Loss  0.888887, Average Loss  0.883741, Time  0.267096
2021-09-15 16:43:08.580263 : Epoch  1, Batch    851, Loss  0.895167, Average Loss  0.883783, Time  0.266209
2021-09-15 16:43:11.586333 : Epoch  1, Batch    852, Loss  0.880795, Average Loss  0.883791, Time  0.264927
2021-09-15 16:43:14.565114 : Epoch  1, Batch    853, Loss  0.855948, Average Loss  0.883561, Time  0.265309
2021-09-15 16:43:17.526365 : Epoch  1, Batch    854, Loss  0.864188, Average Loss  0.883456, Time  0.265678
2021-09-15 16:43:20.524594 : Epoch  1, Batch    855, Loss  0.882795, Average Loss  0.883309, Time  0.265821
2021-09-15 16:43:23.534345 : Epoch  1, Batch    856, Loss  0.891985, Average Loss  0.883393, Time  0.265396
2021-09-15 16:43:26.506727 : Epoch  1, Batch    857, Loss  0.877363, Average Loss  0.883329, Time  0.265237
2021-09-15 16:43:29.495736 : Epoch  1, Batch    858, Loss  0.877534, Average Loss  0.883343, Time  0.264873
2021-09-15 16:43:32.510004 : Epoch  1, Batch    859, Loss  0.875141, Average Loss  0.883365, Time  0.277726
2021-09-15 16:43:35.524381 : Epoch  1, Batch    860, Loss  0.887027, Average Loss  0.883402, Time  0.266325
2021-09-15 16:43:38.516056 : Epoch  1, Batch    861, Loss  0.876094, Average Loss  0.883351, Time  0.265481
2021-09-15 16:43:41.479008 : Epoch  1, Batch    862, Loss  0.863842, Average Loss  0.883284, Time  0.266667
2021-09-15 16:43:44.453770 : Epoch  1, Batch    863, Loss  0.871997, Average Loss  0.883285, Time  0.265126
2021-09-15 16:43:47.435991 : Epoch  1, Batch    864, Loss  0.849408, Average Loss  0.883038, Time  0.264831
2021-09-15 16:43:50.439616 : Epoch  1, Batch    865, Loss  0.901973, Average Loss  0.883154, Time  0.265963
2021-09-15 16:43:53.450492 : Epoch  1, Batch    866, Loss  0.894589, Average Loss  0.883189, Time  0.266034
2021-09-15 16:43:56.440164 : Epoch  1, Batch    867, Loss  0.874582, Average Loss  0.883197, Time  0.266452
2021-09-15 16:43:59.438085 : Epoch  1, Batch    868, Loss  0.868377, Average Loss  0.883258, Time  0.266841
2021-09-15 16:44:02.433476 : Epoch  1, Batch    869, Loss  0.882199, Average Loss  0.883220, Time  0.265986
2021-09-15 16:44:05.456646 : Epoch  1, Batch    870, Loss  0.887100, Average Loss  0.883239, Time  0.266576
2021-09-15 16:44:08.458427 : Epoch  1, Batch    871, Loss  0.891959, Average Loss  0.883226, Time  0.265764
2021-09-15 16:44:11.441452 : Epoch  1, Batch    872, Loss  0.875321, Average Loss  0.883293, Time  0.267432
2021-09-15 16:44:14.406408 : Epoch  1, Batch    873, Loss  0.865215, Average Loss  0.883171, Time  0.266033
2021-09-15 16:44:17.390419 : Epoch  1, Batch    874, Loss  0.889136, Average Loss  0.883242, Time  0.272017
2021-09-15 16:44:20.366778 : Epoch  1, Batch    875, Loss  0.887490, Average Loss  0.883246, Time  0.265203
2021-09-15 16:44:23.350320 : Epoch  1, Batch    876, Loss  0.860146, Average Loss  0.883167, Time  0.264850
2021-09-15 16:44:26.340651 : Epoch  1, Batch    877, Loss  0.870110, Average Loss  0.883008, Time  0.266007
2021-09-15 16:44:29.353341 : Epoch  1, Batch    878, Loss  0.883049, Average Loss  0.883021, Time  0.265647
2021-09-15 16:44:32.341953 : Epoch  1, Batch    879, Loss  0.872071, Average Loss  0.882935, Time  0.265483
2021-09-15 16:44:35.367784 : Epoch  1, Batch    880, Loss  0.873253, Average Loss  0.882917, Time  0.265652
2021-09-15 16:44:38.356775 : Epoch  1, Batch    881, Loss  0.895628, Average Loss  0.883000, Time  0.265077
2021-09-15 16:44:41.347257 : Epoch  1, Batch    882, Loss  0.880469, Average Loss  0.882888, Time  0.264939
2021-09-15 16:44:44.320451 : Epoch  1, Batch    883, Loss  0.854781, Average Loss  0.882726, Time  0.265663
2021-09-15 16:44:47.296254 : Epoch  1, Batch    884, Loss  0.877749, Average Loss  0.882662, Time  0.265224
2021-09-15 16:44:50.268057 : Epoch  1, Batch    885, Loss  0.902233, Average Loss  0.882783, Time  0.265504
2021-09-15 16:44:53.239781 : Epoch  1, Batch    886, Loss  0.885095, Average Loss  0.882726, Time  0.264902
2021-09-15 16:44:56.227983 : Epoch  1, Batch    887, Loss  0.894748, Average Loss  0.882823, Time  0.265442
2021-09-15 16:44:59.240468 : Epoch  1, Batch    888, Loss  0.881077, Average Loss  0.882756, Time  0.267090
2021-09-15 16:45:02.272958 : Epoch  1, Batch    889, Loss  0.902770, Average Loss  0.882835, Time  0.279021
2021-09-15 16:45:05.277596 : Epoch  1, Batch    890, Loss  0.882489, Average Loss  0.882741, Time  0.267059
2021-09-15 16:45:08.287258 : Epoch  1, Batch    891, Loss  0.872038, Average Loss  0.882819, Time  0.266086
2021-09-15 16:45:11.233838 : Epoch  1, Batch    892, Loss  0.876708, Average Loss  0.882740, Time  0.265586
2021-09-15 16:45:14.234790 : Epoch  1, Batch    893, Loss  0.890910, Average Loss  0.882820, Time  0.265766
2021-09-15 16:45:17.219534 : Epoch  1, Batch    894, Loss  0.876710, Average Loss  0.882737, Time  0.266052
2021-09-15 16:45:20.216657 : Epoch  1, Batch    895, Loss  0.865194, Average Loss  0.882559, Time  0.265937
2021-09-15 16:45:23.222743 : Epoch  1, Batch    896, Loss  0.872879, Average Loss  0.882589, Time  0.266182
2021-09-15 16:45:26.195788 : Epoch  1, Batch    897, Loss  0.881511, Average Loss  0.882570, Time  0.265282
2021-09-15 16:45:29.187994 : Epoch  1, Batch    898, Loss  0.881264, Average Loss  0.882506, Time  0.265030
2021-09-15 16:45:32.168969 : Epoch  1, Batch    899, Loss  0.875427, Average Loss  0.882483, Time  0.265803
2021-09-15 16:45:35.177806 : Epoch  1, Batch    900, Loss  0.875779, Average Loss  0.882476, Time  0.265050
2021-09-15 16:50:13.543636 : CheckPoint: Validation Loss  0.00030111, Best Loss  0.00030065
2021-09-15 16:50:16.545253 : Epoch  1, Batch    901, Loss  0.882852, Average Loss  0.882549, Time  0.266909
2021-09-15 16:50:19.521545 : Epoch  1, Batch    902, Loss  0.877589, Average Loss  0.882562, Time  0.265192
2021-09-15 16:50:22.524115 : Epoch  1, Batch    903, Loss  0.881969, Average Loss  0.882478, Time  0.265318
2021-09-15 16:50:25.511245 : Epoch  1, Batch    904, Loss  0.884939, Average Loss  0.882530, Time  0.266634
2021-09-15 16:50:28.517407 : Epoch  1, Batch    905, Loss  0.912510, Average Loss  0.882826, Time  0.265760
2021-09-15 16:50:31.518830 : Epoch  1, Batch    906, Loss  0.865625, Average Loss  0.882736, Time  0.275380
2021-09-15 16:50:34.518480 : Epoch  1, Batch    907, Loss  0.858353, Average Loss  0.882654, Time  0.267864
2021-09-15 16:50:37.503488 : Epoch  1, Batch    908, Loss  0.863635, Average Loss  0.882560, Time  0.265561
2021-09-15 16:50:40.497655 : Epoch  1, Batch    909, Loss  0.874298, Average Loss  0.882538, Time  0.266741
2021-09-15 16:50:43.506234 : Epoch  1, Batch    910, Loss  0.893894, Average Loss  0.882397, Time  0.265952
2021-09-15 16:50:46.491620 : Epoch  1, Batch    911, Loss  0.887794, Average Loss  0.882378, Time  0.265825
2021-09-15 16:50:49.471995 : Epoch  1, Batch    912, Loss  0.876909, Average Loss  0.882354, Time  0.266113
2021-09-15 16:50:52.416199 : Epoch  1, Batch    913, Loss  0.885449, Average Loss  0.882291, Time  0.265133
2021-09-15 16:50:55.411193 : Epoch  1, Batch    914, Loss  0.882346, Average Loss  0.882280, Time  0.265960
2021-09-15 16:50:58.422391 : Epoch  1, Batch    915, Loss  0.871790, Average Loss  0.882181, Time  0.266071
2021-09-15 16:51:01.434946 : Epoch  1, Batch    916, Loss  0.881570, Average Loss  0.882109, Time  0.266130
2021-09-15 16:51:04.424966 : Epoch  1, Batch    917, Loss  0.877891, Average Loss  0.882225, Time  0.265623
2021-09-15 16:51:07.403701 : Epoch  1, Batch    918, Loss  0.875707, Average Loss  0.882200, Time  0.264982
2021-09-15 16:51:10.388311 : Epoch  1, Batch    919, Loss  0.898193, Average Loss  0.882298, Time  0.266667
2021-09-15 16:51:13.356311 : Epoch  1, Batch    920, Loss  0.880086, Average Loss  0.882302, Time  0.265101
2021-09-15 16:51:16.337805 : Epoch  1, Batch    921, Loss  0.872828, Average Loss  0.882234, Time  0.273084
2021-09-15 16:51:19.351933 : Epoch  1, Batch    922, Loss  0.871484, Average Loss  0.882142, Time  0.266301
2021-09-15 16:51:22.338166 : Epoch  1, Batch    923, Loss  0.891246, Average Loss  0.882248, Time  0.265074
2021-09-15 16:51:25.313952 : Epoch  1, Batch    924, Loss  0.885217, Average Loss  0.882359, Time  0.264960
2021-09-15 16:51:28.376511 : Epoch  1, Batch    925, Loss  0.895653, Average Loss  0.882366, Time  0.266656
2021-09-15 16:51:31.450514 : Epoch  1, Batch    926, Loss  0.879210, Average Loss  0.882364, Time  0.265614
2021-09-15 16:51:34.514817 : Epoch  1, Batch    927, Loss  0.890052, Average Loss  0.882201, Time  0.266660
2021-09-15 16:51:37.483762 : Epoch  1, Batch    928, Loss  0.864624, Average Loss  0.882197, Time  0.265007
2021-09-15 16:51:40.428943 : Epoch  1, Batch    929, Loss  0.867892, Average Loss  0.882050, Time  0.265622
2021-09-15 16:51:43.413953 : Epoch  1, Batch    930, Loss  0.878659, Average Loss  0.882035, Time  0.266577
2021-09-15 16:51:46.386978 : Epoch  1, Batch    931, Loss  0.900714, Average Loss  0.882101, Time  0.265834
2021-09-15 16:51:49.360173 : Epoch  1, Batch    932, Loss  0.868437, Average Loss  0.882016, Time  0.267339
2021-09-15 16:51:52.378209 : Epoch  1, Batch    933, Loss  0.866254, Average Loss  0.881955, Time  0.267051
2021-09-15 16:51:55.371874 : Epoch  1, Batch    934, Loss  0.871520, Average Loss  0.881933, Time  0.265182
2021-09-15 16:51:58.336569 : Epoch  1, Batch    935, Loss  0.866469, Average Loss  0.881867, Time  0.265249
2021-09-15 16:52:01.345456 : Epoch  1, Batch    936, Loss  0.887200, Average Loss  0.881818, Time  0.279401
2021-09-15 16:52:04.320399 : Epoch  1, Batch    937, Loss  0.884146, Average Loss  0.881894, Time  0.265751
2021-09-15 16:52:07.299766 : Epoch  1, Batch    938, Loss  0.864026, Average Loss  0.881757, Time  0.266091
2021-09-15 16:52:10.279867 : Epoch  1, Batch    939, Loss  0.886312, Average Loss  0.881680, Time  0.265069
2021-09-15 16:52:13.264978 : Epoch  1, Batch    940, Loss  0.875198, Average Loss  0.881612, Time  0.265493
2021-09-15 16:52:16.252999 : Epoch  1, Batch    941, Loss  0.867936, Average Loss  0.881486, Time  0.266494
2021-09-15 16:52:19.242751 : Epoch  1, Batch    942, Loss  0.898790, Average Loss  0.881522, Time  0.265914
2021-09-15 16:52:22.229681 : Epoch  1, Batch    943, Loss  0.891076, Average Loss  0.881503, Time  0.265352
2021-09-15 16:52:25.203156 : Epoch  1, Batch    944, Loss  0.879444, Average Loss  0.881404, Time  0.265682
2021-09-15 16:52:28.189618 : Epoch  1, Batch    945, Loss  0.876108, Average Loss  0.881287, Time  0.265341
2021-09-15 16:52:31.167087 : Epoch  1, Batch    946, Loss  0.870965, Average Loss  0.881128, Time  0.266077
2021-09-15 16:52:34.178980 : Epoch  1, Batch    947, Loss  0.891985, Average Loss  0.881220, Time  0.266897
2021-09-15 16:52:37.180398 : Epoch  1, Batch    948, Loss  0.877482, Average Loss  0.881206, Time  0.267856
2021-09-15 16:52:40.157769 : Epoch  1, Batch    949, Loss  0.874797, Average Loss  0.881227, Time  0.267131
2021-09-15 16:52:43.152203 : Epoch  1, Batch    950, Loss  0.887848, Average Loss  0.881252, Time  0.266375
2021-09-15 16:52:46.152876 : Epoch  1, Batch    951, Loss  0.864740, Average Loss  0.881191, Time  0.277468
2021-09-15 16:52:49.149759 : Epoch  1, Batch    952, Loss  0.896398, Average Loss  0.881259, Time  0.266551
2021-09-15 16:52:52.137007 : Epoch  1, Batch    953, Loss  0.860691, Average Loss  0.881191, Time  0.266169
2021-09-15 16:52:55.154384 : Epoch  1, Batch    954, Loss  0.861563, Average Loss  0.881042, Time  0.265662
2021-09-15 16:52:58.134506 : Epoch  1, Batch    955, Loss  0.898965, Average Loss  0.881031, Time  0.264860
2021-09-15 16:53:01.130490 : Epoch  1, Batch    956, Loss  0.894497, Average Loss  0.881116, Time  0.264912
2021-09-15 16:53:04.099999 : Epoch  1, Batch    957, Loss  0.868692, Average Loss  0.881085, Time  0.265607
2021-09-15 16:53:07.083515 : Epoch  1, Batch    958, Loss  0.867387, Average Loss  0.881008, Time  0.265248
2021-09-15 16:53:08.534843 : Epoch  1, Batch    959, Loss  0.891964, Average Loss  0.881114, Time  0.170112
2021-09-15 16:53:11.496539 : Epoch  1, Batch    960, Loss  0.875695, Average Loss  0.881043, Time  0.265007
2021-09-15 16:53:14.467938 : Epoch  1, Batch    961, Loss  0.895802, Average Loss  0.881158, Time  0.265474
2021-09-15 16:53:17.448864 : Epoch  1, Batch    962, Loss  0.898708, Average Loss  0.881072, Time  0.265172
2021-09-15 16:53:20.436443 : Epoch  1, Batch    963, Loss  0.876795, Average Loss  0.881089, Time  0.266279
2021-09-15 16:53:23.442345 : Epoch  1, Batch    964, Loss  0.860959, Average Loss  0.880969, Time  0.266313
2021-09-15 16:53:26.415946 : Epoch  1, Batch    965, Loss  0.905132, Average Loss  0.881130, Time  0.265201
2021-09-15 16:53:29.406244 : Epoch  1, Batch    966, Loss  0.892972, Average Loss  0.881136, Time  0.267204
2021-09-15 16:53:32.431165 : Epoch  1, Batch    967, Loss  0.899638, Average Loss  0.881127, Time  0.278872
2021-09-15 16:53:35.432938 : Epoch  1, Batch    968, Loss  0.859484, Average Loss  0.881052, Time  0.268170
2021-09-15 16:53:38.414925 : Epoch  1, Batch    969, Loss  0.856554, Average Loss  0.880857, Time  0.265849
2021-09-15 16:53:41.414526 : Epoch  1, Batch    970, Loss  0.888432, Average Loss  0.880862, Time  0.266652
2021-09-15 16:53:44.390844 : Epoch  1, Batch    971, Loss  0.878026, Average Loss  0.880840, Time  0.265364
2021-09-15 16:53:47.380386 : Epoch  1, Batch    972, Loss  0.875311, Average Loss  0.880769, Time  0.265659
2021-09-15 16:53:50.362683 : Epoch  1, Batch    973, Loss  0.892502, Average Loss  0.880719, Time  0.265234
2021-09-15 16:53:53.341225 : Epoch  1, Batch    974, Loss  0.891235, Average Loss  0.880739, Time  0.265996
2021-09-15 16:53:56.331481 : Epoch  1, Batch    975, Loss  0.899465, Average Loss  0.880821, Time  0.264890
2021-09-15 16:53:59.321153 : Epoch  1, Batch    976, Loss  0.883329, Average Loss  0.880722, Time  0.265708
2021-09-15 16:54:02.299949 : Epoch  1, Batch    977, Loss  0.873931, Average Loss  0.880712, Time  0.264975
2021-09-15 16:54:05.271803 : Epoch  1, Batch    978, Loss  0.897265, Average Loss  0.880746, Time  0.264673
2021-09-15 16:54:08.237318 : Epoch  1, Batch    979, Loss  0.871317, Average Loss  0.880598, Time  0.265285
2021-09-15 16:54:11.230876 : Epoch  1, Batch    980, Loss  0.876358, Average Loss  0.880574, Time  0.265377
2021-09-15 16:54:14.198284 : Epoch  1, Batch    981, Loss  0.896650, Average Loss  0.880546, Time  0.267579
2021-09-15 16:54:17.172022 : Epoch  1, Batch    982, Loss  0.873985, Average Loss  0.880416, Time  0.265216
2021-09-15 16:54:20.152722 : Epoch  1, Batch    983, Loss  0.900220, Average Loss  0.880365, Time  0.274782
2021-09-15 16:54:23.139941 : Epoch  1, Batch    984, Loss  0.878830, Average Loss  0.880432, Time  0.266216
2021-09-15 16:54:26.145911 : Epoch  1, Batch    985, Loss  0.882428, Average Loss  0.880375, Time  0.265220
2021-09-15 16:54:29.124992 : Epoch  1, Batch    986, Loss  0.885482, Average Loss  0.880522, Time  0.265670
2021-09-15 16:54:32.103816 : Epoch  1, Batch    987, Loss  0.875347, Average Loss  0.880587, Time  0.266270
2021-09-15 16:54:35.113880 : Epoch  1, Batch    988, Loss  0.887905, Average Loss  0.880532, Time  0.266428
2021-09-15 16:54:38.109530 : Epoch  1, Batch    989, Loss  0.878701, Average Loss  0.880505, Time  0.265874
2021-09-15 16:54:41.087060 : Epoch  1, Batch    990, Loss  0.889265, Average Loss  0.880653, Time  0.266670
2021-09-15 16:54:44.103418 : Epoch  1, Batch    991, Loss  0.893418, Average Loss  0.880661, Time  0.265900
2021-09-15 16:54:47.101714 : Epoch  1, Batch    992, Loss  0.850589, Average Loss  0.880433, Time  0.266243
2021-09-15 16:54:50.072757 : Epoch  1, Batch    993, Loss  0.875481, Average Loss  0.880476, Time  0.265313
2021-09-15 16:54:53.051543 : Epoch  1, Batch    994, Loss  0.861180, Average Loss  0.880355, Time  0.265478
2021-09-15 16:54:56.030068 : Epoch  1, Batch    995, Loss  0.876337, Average Loss  0.880462, Time  0.266188
2021-09-15 16:54:59.012424 : Epoch  1, Batch    996, Loss  0.869500, Average Loss  0.880401, Time  0.265226
2021-09-15 16:55:01.986549 : Epoch  1, Batch    997, Loss  0.902305, Average Loss  0.880590, Time  0.264490
2021-09-15 16:55:04.964376 : Epoch  1, Batch    998, Loss  0.895959, Average Loss  0.880746, Time  0.273003
2021-09-15 16:55:07.928471 : Epoch  1, Batch    999, Loss  0.883472, Average Loss  0.880758, Time  0.266091
2021-09-15 16:55:18.940921 : Epoch  1, Batch   1000, Loss  0.874170, Average Loss  0.880671, Time  0.266618
2021-09-15 16:59:56.636697 : CheckPoint: Validation Loss  0.00030453, Best Loss  0.00030065
2021-09-15 16:59:59.625563 : Epoch  1, Batch   1001, Loss  0.878802, Average Loss  0.880689, Time  0.267547
2021-09-15 17:00:02.615649 : Epoch  1, Batch   1002, Loss  0.890290, Average Loss  0.880634, Time  0.266259
2021-09-15 17:00:05.647674 : Epoch  1, Batch   1003, Loss  0.883552, Average Loss  0.880647, Time  0.266301
2021-09-15 17:00:08.647437 : Epoch  1, Batch   1004, Loss  0.900765, Average Loss  0.880748, Time  0.266891
2021-09-15 17:00:11.637005 : Epoch  1, Batch   1005, Loss  0.904933, Average Loss  0.880952, Time  0.265451
2021-09-15 17:00:14.626642 : Epoch  1, Batch   1006, Loss  0.882305, Average Loss  0.880987, Time  0.267805
2021-09-15 17:00:17.637082 : Epoch  1, Batch   1007, Loss  0.892635, Average Loss  0.881133, Time  0.267210
2021-09-15 17:00:20.657412 : Epoch  1, Batch   1008, Loss  0.878772, Average Loss  0.881215, Time  0.265304
2021-09-15 17:00:23.650057 : Epoch  1, Batch   1009, Loss  0.901887, Average Loss  0.881322, Time  0.265093
2021-09-15 17:00:26.646919 : Epoch  1, Batch   1010, Loss  0.896152, Average Loss  0.881395, Time  0.265942
2021-09-15 17:00:29.659563 : Epoch  1, Batch   1011, Loss  0.865343, Average Loss  0.881175, Time  0.265337
2021-09-15 17:00:32.657995 : Epoch  1, Batch   1012, Loss  0.884692, Average Loss  0.881238, Time  0.274643
2021-09-15 17:00:35.660412 : Epoch  1, Batch   1013, Loss  0.862665, Average Loss  0.881169, Time  0.265772
2021-09-15 17:00:38.670940 : Epoch  1, Batch   1014, Loss  0.874550, Average Loss  0.881087, Time  0.265875
2021-09-15 17:00:41.658249 : Epoch  1, Batch   1015, Loss  0.895808, Average Loss  0.881233, Time  0.265689
2021-09-15 17:00:44.701460 : Epoch  1, Batch   1016, Loss  0.865524, Average Loss  0.881136, Time  0.265451
2021-09-15 17:00:47.727955 : Epoch  1, Batch   1017, Loss  0.898447, Average Loss  0.881282, Time  0.265565
2021-09-15 17:00:50.709301 : Epoch  1, Batch   1018, Loss  0.880528, Average Loss  0.881291, Time  0.265182
2021-09-15 17:00:53.737363 : Epoch  1, Batch   1019, Loss  0.883628, Average Loss  0.881195, Time  0.266224
2021-09-15 17:00:56.753471 : Epoch  1, Batch   1020, Loss  0.897263, Average Loss  0.881262, Time  0.265883
2021-09-15 17:00:59.776452 : Epoch  1, Batch   1021, Loss  0.882696, Average Loss  0.881256, Time  0.266463
2021-09-15 17:01:02.785198 : Epoch  1, Batch   1022, Loss  0.871955, Average Loss  0.881266, Time  0.265793
2021-09-15 17:01:05.776642 : Epoch  1, Batch   1023, Loss  0.864524, Average Loss  0.881162, Time  0.266905
2021-09-15 17:01:08.789986 : Epoch  1, Batch   1024, Loss  0.863567, Average Loss  0.881085, Time  0.266915
2021-09-15 17:01:11.777890 : Epoch  1, Batch   1025, Loss  0.895138, Average Loss  0.881106, Time  0.265758
2021-09-15 17:01:14.784706 : Epoch  1, Batch   1026, Loss  0.896636, Average Loss  0.881112, Time  0.266411
2021-09-15 17:01:17.804791 : Epoch  1, Batch   1027, Loss  0.876723, Average Loss  0.880919, Time  0.274171
2021-09-15 17:01:20.823858 : Epoch  1, Batch   1028, Loss  0.888891, Average Loss  0.880916, Time  0.266299
2021-09-15 17:01:23.813865 : Epoch  1, Batch   1029, Loss  0.856205, Average Loss  0.880821, Time  0.266318
2021-09-15 17:01:26.830298 : Epoch  1, Batch   1030, Loss  0.869123, Average Loss  0.880756, Time  0.265249
2021-09-15 17:01:29.842052 : Epoch  1, Batch   1031, Loss  0.859560, Average Loss  0.880683, Time  0.265628
2021-09-15 17:01:32.843684 : Epoch  1, Batch   1032, Loss  0.860117, Average Loss  0.880606, Time  0.265209
2021-09-15 17:01:35.860025 : Epoch  1, Batch   1033, Loss  0.864237, Average Loss  0.880557, Time  0.265872
2021-09-15 17:01:38.860419 : Epoch  1, Batch   1034, Loss  0.858660, Average Loss  0.880414, Time  0.267352
2021-09-15 17:01:41.844393 : Epoch  1, Batch   1035, Loss  0.881439, Average Loss  0.880452, Time  0.265064
2021-09-15 17:01:44.825057 : Epoch  1, Batch   1036, Loss  0.859552, Average Loss  0.880276, Time  0.265488
2021-09-15 17:01:47.805116 : Epoch  1, Batch   1037, Loss  0.876618, Average Loss  0.880222, Time  0.265110
2021-09-15 17:01:50.782759 : Epoch  1, Batch   1038, Loss  0.903988, Average Loss  0.880329, Time  0.264780
2021-09-15 17:01:53.781755 : Epoch  1, Batch   1039, Loss  0.873594, Average Loss  0.880298, Time  0.265734
2021-09-15 17:01:56.781637 : Epoch  1, Batch   1040, Loss  0.868219, Average Loss  0.880255, Time  0.265854
2021-09-15 17:01:59.785823 : Epoch  1, Batch   1041, Loss  0.869995, Average Loss  0.880079, Time  0.266547
2021-09-15 17:02:02.785141 : Epoch  1, Batch   1042, Loss  0.886159, Average Loss  0.880049, Time  0.277166
2021-09-15 17:02:05.791283 : Epoch  1, Batch   1043, Loss  0.878087, Average Loss  0.880008, Time  0.265855
2021-09-15 17:02:08.775880 : Epoch  1, Batch   1044, Loss  0.883468, Average Loss  0.880021, Time  0.266233
2021-09-15 17:02:11.822444 : Epoch  1, Batch   1045, Loss  0.892481, Average Loss  0.880156, Time  0.266970
2021-09-15 17:02:14.821390 : Epoch  1, Batch   1046, Loss  0.872551, Average Loss  0.880188, Time  0.265803
2021-09-15 17:02:17.848929 : Epoch  1, Batch   1047, Loss  0.884535, Average Loss  0.880231, Time  0.266263
2021-09-15 17:02:20.860306 : Epoch  1, Batch   1048, Loss  0.885923, Average Loss  0.880249, Time  0.265199
2021-09-15 17:02:23.832696 : Epoch  1, Batch   1049, Loss  0.879878, Average Loss  0.880226, Time  0.265680
2021-09-15 17:02:26.855789 : Epoch  1, Batch   1050, Loss  0.875373, Average Loss  0.880159, Time  0.266233
2021-09-15 17:02:29.861756 : Epoch  1, Batch   1051, Loss  0.888646, Average Loss  0.880126, Time  0.265046
2021-09-15 17:02:32.857977 : Epoch  1, Batch   1052, Loss  0.876326, Average Loss  0.880104, Time  0.265427
2021-09-15 17:02:35.858839 : Epoch  1, Batch   1053, Loss  0.882195, Average Loss  0.880235, Time  0.266601
2021-09-15 17:02:38.871218 : Epoch  1, Batch   1054, Loss  0.888828, Average Loss  0.880358, Time  0.265512
2021-09-15 17:02:41.852551 : Epoch  1, Batch   1055, Loss  0.857369, Average Loss  0.880231, Time  0.266301
2021-09-15 17:02:44.860619 : Epoch  1, Batch   1056, Loss  0.886998, Average Loss  0.880206, Time  0.265257
2021-09-15 17:02:47.828927 : Epoch  1, Batch   1057, Loss  0.854122, Average Loss  0.880090, Time  0.276288
2021-09-15 17:02:50.822761 : Epoch  1, Batch   1058, Loss  0.874095, Average Loss  0.880073, Time  0.265752
2021-09-15 17:02:53.815419 : Epoch  1, Batch   1059, Loss  0.872809, Average Loss  0.880061, Time  0.265333
2021-09-15 17:02:56.805337 : Epoch  1, Batch   1060, Loss  0.885133, Average Loss  0.880052, Time  0.264915
2021-09-15 17:02:59.794043 : Epoch  1, Batch   1061, Loss  0.880210, Average Loss  0.880072, Time  0.265021
2021-09-15 17:03:02.780413 : Epoch  1, Batch   1062, Loss  0.872106, Average Loss  0.880114, Time  0.265389
2021-09-15 17:03:05.797741 : Epoch  1, Batch   1063, Loss  0.871320, Average Loss  0.880110, Time  0.265427
2021-09-15 17:03:08.786055 : Epoch  1, Batch   1064, Loss  0.881126, Average Loss  0.880269, Time  0.265240
2021-09-15 17:03:11.769323 : Epoch  1, Batch   1065, Loss  0.880962, Average Loss  0.880164, Time  0.265967
2021-09-15 17:03:14.792912 : Epoch  1, Batch   1066, Loss  0.896046, Average Loss  0.880171, Time  0.267361
2021-09-15 17:03:17.783998 : Epoch  1, Batch   1067, Loss  0.898206, Average Loss  0.880289, Time  0.265704
2021-09-15 17:03:20.773140 : Epoch  1, Batch   1068, Loss  0.893936, Average Loss  0.880417, Time  0.265085
2021-09-15 17:03:23.787537 : Epoch  1, Batch   1069, Loss  0.896052, Average Loss  0.880486, Time  0.265799
2021-09-15 17:03:26.796215 : Epoch  1, Batch   1070, Loss  0.891398, Average Loss  0.880508, Time  0.265454
2021-09-15 17:03:29.800187 : Epoch  1, Batch   1071, Loss  0.891319, Average Loss  0.880504, Time  0.266315
2021-09-15 17:03:32.792788 : Epoch  1, Batch   1072, Loss  0.866285, Average Loss  0.880459, Time  0.276048
2021-09-15 17:03:35.779076 : Epoch  1, Batch   1073, Loss  0.872109, Average Loss  0.880494, Time  0.265964
2021-09-15 17:03:38.801322 : Epoch  1, Batch   1074, Loss  0.873093, Average Loss  0.880413, Time  0.266000
2021-09-15 17:03:41.828715 : Epoch  1, Batch   1075, Loss  0.888467, Average Loss  0.880418, Time  0.266478
2021-09-15 17:03:44.845030 : Epoch  1, Batch   1076, Loss  0.847110, Average Loss  0.880353, Time  0.265620
2021-09-15 17:03:47.850321 : Epoch  1, Batch   1077, Loss  0.872393, Average Loss  0.880365, Time  0.266051
2021-09-15 17:03:50.867363 : Epoch  1, Batch   1078, Loss  0.901711, Average Loss  0.880458, Time  0.265128
2021-09-15 17:03:53.856065 : Epoch  1, Batch   1079, Loss  0.860717, Average Loss  0.880401, Time  0.266082
2021-09-15 17:03:56.858110 : Epoch  1, Batch   1080, Loss  0.877351, Average Loss  0.880422, Time  0.265195
2021-09-15 17:03:59.843372 : Epoch  1, Batch   1081, Loss  0.886431, Average Loss  0.880376, Time  0.264970
2021-09-15 17:04:02.847936 : Epoch  1, Batch   1082, Loss  0.887906, Average Loss  0.880413, Time  0.265847
2021-09-15 17:04:05.871855 : Epoch  1, Batch   1083, Loss  0.895315, Average Loss  0.880616, Time  0.265621
2021-09-15 17:04:08.855408 : Epoch  1, Batch   1084, Loss  0.864416, Average Loss  0.880549, Time  0.265244
2021-09-15 17:04:11.839444 : Epoch  1, Batch   1085, Loss  0.872302, Average Loss  0.880399, Time  0.266989
2021-09-15 17:04:14.832842 : Epoch  1, Batch   1086, Loss  0.854624, Average Loss  0.880247, Time  0.265968
2021-09-15 17:04:17.850359 : Epoch  1, Batch   1087, Loss  0.885223, Average Loss  0.880199, Time  0.278448
2021-09-15 17:04:20.842070 : Epoch  1, Batch   1088, Loss  0.874905, Average Loss  0.880168, Time  0.266218
2021-09-15 17:04:23.814865 : Epoch  1, Batch   1089, Loss  0.882202, Average Loss  0.880066, Time  0.263844
2021-09-15 17:04:26.824870 : Epoch  1, Batch   1090, Loss  0.889391, Average Loss  0.880100, Time  0.266852
2021-09-15 17:04:29.832352 : Epoch  1, Batch   1091, Loss  0.886484, Average Loss  0.880172, Time  0.265743
2021-09-15 17:04:32.838799 : Epoch  1, Batch   1092, Loss  0.890897, Average Loss  0.880243, Time  0.266235
2021-09-15 17:04:35.855441 : Epoch  1, Batch   1093, Loss  0.886439, Average Loss  0.880221, Time  0.266759
2021-09-15 17:04:38.860729 : Epoch  1, Batch   1094, Loss  0.876524, Average Loss  0.880220, Time  0.265273
2021-09-15 17:04:41.857418 : Epoch  1, Batch   1095, Loss  0.847553, Average Loss  0.880132, Time  0.265737
2021-09-15 17:04:44.871028 : Epoch  1, Batch   1096, Loss  0.868013, Average Loss  0.880107, Time  0.266659
2021-09-15 17:04:47.864177 : Epoch  1, Batch   1097, Loss  0.886711, Average Loss  0.880133, Time  0.265674
2021-09-15 17:04:50.865215 : Epoch  1, Batch   1098, Loss  0.880170, Average Loss  0.880128, Time  0.266371
2021-09-15 17:04:53.885501 : Epoch  1, Batch   1099, Loss  0.865129, Average Loss  0.880076, Time  0.266049
2021-09-15 17:04:56.865036 : Epoch  1, Batch   1100, Loss  0.863088, Average Loss  0.880013, Time  0.264982
2021-09-15 17:09:38.544886 : CheckPoint: Validation Loss  0.00029628, Best Loss  0.00029628
2021-09-15 17:09:38.575255 : Best Model Updated
2021-09-15 17:09:42.278919 : Epoch  1, Batch   1101, Loss  0.876268, Average Loss  0.879980, Time  0.277500
2021-09-15 17:09:45.256877 : Epoch  1, Batch   1102, Loss  0.876670, Average Loss  0.879975, Time  0.266707
2021-09-15 17:09:48.270392 : Epoch  1, Batch   1103, Loss  0.884742, Average Loss  0.879989, Time  0.266186
2021-09-15 17:09:51.272387 : Epoch  1, Batch   1104, Loss  0.883378, Average Loss  0.879982, Time  0.266732
2021-09-15 17:09:54.287353 : Epoch  1, Batch   1105, Loss  0.877925, Average Loss  0.879809, Time  0.266553
2021-09-15 17:09:57.277059 : Epoch  1, Batch   1106, Loss  0.879508, Average Loss  0.879878, Time  0.265843
2021-09-15 17:10:00.258941 : Epoch  1, Batch   1107, Loss  0.884123, Average Loss  0.880007, Time  0.266335
2021-09-15 17:10:03.247704 : Epoch  1, Batch   1108, Loss  0.881234, Average Loss  0.880095, Time  0.266618
2021-09-15 17:10:06.244228 : Epoch  1, Batch   1109, Loss  0.883430, Average Loss  0.880141, Time  0.265022
2021-09-15 17:10:09.230602 : Epoch  1, Batch   1110, Loss  0.870516, Average Loss  0.880024, Time  0.266360
2021-09-15 17:10:12.238610 : Epoch  1, Batch   1111, Loss  0.901752, Average Loss  0.880093, Time  0.264807
2021-09-15 17:10:15.229492 : Epoch  1, Batch   1112, Loss  0.854081, Average Loss  0.879979, Time  0.265129
2021-09-15 17:10:18.251353 : Epoch  1, Batch   1113, Loss  0.877240, Average Loss  0.879938, Time  0.266372
2021-09-15 17:10:21.299548 : Epoch  1, Batch   1114, Loss  0.869641, Average Loss  0.879875, Time  0.271673
2021-09-15 17:10:24.297991 : Epoch  1, Batch   1115, Loss  0.895049, Average Loss  0.879991, Time  0.265964
2021-09-15 17:10:27.278246 : Epoch  1, Batch   1116, Loss  0.886132, Average Loss  0.880014, Time  0.267333
2021-09-15 17:10:30.317303 : Epoch  1, Batch   1117, Loss  0.905982, Average Loss  0.880154, Time  0.265365
2021-09-15 17:10:33.294320 : Epoch  1, Batch   1118, Loss  0.888343, Average Loss  0.880217, Time  0.266351
2021-09-15 17:10:36.302168 : Epoch  1, Batch   1119, Loss  0.864072, Average Loss  0.880047, Time  0.265660
2021-09-15 17:10:39.321571 : Epoch  1, Batch   1120, Loss  0.868435, Average Loss  0.879989, Time  0.264436
2021-09-15 17:10:42.297529 : Epoch  1, Batch   1121, Loss  0.863908, Average Loss  0.879944, Time  0.265936
2021-09-15 17:10:45.314683 : Epoch  1, Batch   1122, Loss  0.873530, Average Loss  0.879954, Time  0.265657
2021-09-15 17:10:48.322249 : Epoch  1, Batch   1123, Loss  0.869822, Average Loss  0.879847, Time  0.266727
2021-09-15 17:10:51.301067 : Epoch  1, Batch   1124, Loss  0.875482, Average Loss  0.879798, Time  0.265927
2021-09-15 17:10:54.300882 : Epoch  1, Batch   1125, Loss  0.868891, Average Loss  0.879665, Time  0.266542
2021-09-15 17:10:57.296189 : Epoch  1, Batch   1126, Loss  0.877873, Average Loss  0.879658, Time  0.266289
2021-09-15 17:11:00.272918 : Epoch  1, Batch   1127, Loss  0.877246, Average Loss  0.879594, Time  0.266404
2021-09-15 17:11:03.261984 : Epoch  1, Batch   1128, Loss  0.880987, Average Loss  0.879676, Time  0.265818
2021-09-15 17:11:06.264372 : Epoch  1, Batch   1129, Loss  0.883703, Average Loss  0.879755, Time  0.266192
2021-09-15 17:11:09.253245 : Epoch  1, Batch   1130, Loss  0.892637, Average Loss  0.879825, Time  0.272437
2021-09-15 17:11:12.265890 : Epoch  1, Batch   1131, Loss  0.884459, Average Loss  0.879743, Time  0.265617
2021-09-15 17:11:15.259482 : Epoch  1, Batch   1132, Loss  0.882841, Average Loss  0.879815, Time  0.265288
2021-09-15 17:11:18.256024 : Epoch  1, Batch   1133, Loss  0.883307, Average Loss  0.879901, Time  0.265133
2021-09-15 17:11:21.234928 : Epoch  1, Batch   1134, Loss  0.870144, Average Loss  0.879894, Time  0.266269
2021-09-15 17:11:24.224914 : Epoch  1, Batch   1135, Loss  0.873070, Average Loss  0.879927, Time  0.265072
2021-09-15 17:11:27.233241 : Epoch  1, Batch   1136, Loss  0.891932, Average Loss  0.879950, Time  0.264655
2021-09-15 17:11:30.255045 : Epoch  1, Batch   1137, Loss  0.903225, Average Loss  0.880046, Time  0.265251
2021-09-15 17:11:33.242103 : Epoch  1, Batch   1138, Loss  0.875781, Average Loss  0.880105, Time  0.265014
2021-09-15 17:11:36.214024 : Epoch  1, Batch   1139, Loss  0.854306, Average Loss  0.879945, Time  0.264738
2021-09-15 17:11:39.211481 : Epoch  1, Batch   1140, Loss  0.885935, Average Loss  0.879998, Time  0.266627
2021-09-15 17:11:42.200543 : Epoch  1, Batch   1141, Loss  0.866322, Average Loss  0.879990, Time  0.264999
2021-09-15 17:11:45.172447 : Epoch  1, Batch   1142, Loss  0.869541, Average Loss  0.879844, Time  0.265003
2021-09-15 17:11:48.148580 : Epoch  1, Batch   1143, Loss  0.881836, Average Loss  0.879798, Time  0.266208
2021-09-15 17:11:51.146702 : Epoch  1, Batch   1144, Loss  0.878323, Average Loss  0.879792, Time  0.267199
2021-09-15 17:11:54.161063 : Epoch  1, Batch   1145, Loss  0.874460, Average Loss  0.879784, Time  0.276648
2021-09-15 17:11:57.139151 : Epoch  1, Batch   1146, Loss  0.899076, Average Loss  0.879924, Time  0.266220
2021-09-15 17:12:00.145831 : Epoch  1, Batch   1147, Loss  0.882778, Average Loss  0.879878, Time  0.265880
2021-09-15 17:12:03.138839 : Epoch  1, Batch   1148, Loss  0.876373, Average Loss  0.879873, Time  0.266974
2021-09-15 17:12:06.136828 : Epoch  1, Batch   1149, Loss  0.871314, Average Loss  0.879855, Time  0.265293
2021-09-15 17:12:09.117232 : Epoch  1, Batch   1150, Loss  0.883879, Average Loss  0.879836, Time  0.265131
2021-09-15 17:12:12.100399 : Epoch  1, Batch   1151, Loss  0.887908, Average Loss  0.879951, Time  0.265775
2021-09-15 17:12:15.079019 : Epoch  1, Batch   1152, Loss  0.864449, Average Loss  0.879792, Time  0.265526
2021-09-15 17:12:18.087821 : Epoch  1, Batch   1153, Loss  0.872151, Average Loss  0.879849, Time  0.266071
2021-09-15 17:12:21.077981 : Epoch  1, Batch   1154, Loss  0.871980, Average Loss  0.879901, Time  0.264933
2021-09-15 17:12:24.111044 : Epoch  1, Batch   1155, Loss  0.867210, Average Loss  0.879742, Time  0.266097
2021-09-15 17:12:27.116616 : Epoch  1, Batch   1156, Loss  0.895894, Average Loss  0.879749, Time  0.266321
2021-09-15 17:12:30.125935 : Epoch  1, Batch   1157, Loss  0.878282, Average Loss  0.879797, Time  0.265321
2021-09-15 17:12:33.102046 : Epoch  1, Batch   1158, Loss  0.878348, Average Loss  0.879852, Time  0.265411
2021-09-15 17:12:36.097043 : Epoch  1, Batch   1159, Loss  0.898955, Average Loss  0.879887, Time  0.265353
2021-09-15 17:12:39.110378 : Epoch  1, Batch   1160, Loss  0.885587, Average Loss  0.879936, Time  0.276908
2021-09-15 17:12:42.118167 : Epoch  1, Batch   1161, Loss  0.863189, Average Loss  0.879773, Time  0.266310
2021-09-15 17:12:45.119078 : Epoch  1, Batch   1162, Loss  0.891144, Average Loss  0.879736, Time  0.265511
2021-09-15 17:12:48.055508 : Epoch  1, Batch   1163, Loss  0.867455, Average Loss  0.879689, Time  0.265823
2021-09-15 17:12:51.083047 : Epoch  1, Batch   1164, Loss  0.849354, Average Loss  0.879631, Time  0.265890
2021-09-15 17:12:54.076920 : Epoch  1, Batch   1165, Loss  0.880720, Average Loss  0.879509, Time  0.266075
2021-09-15 17:12:57.071941 : Epoch  1, Batch   1166, Loss  0.880520, Average Loss  0.879447, Time  0.265646
2021-09-15 17:13:00.041706 : Epoch  1, Batch   1167, Loss  0.866853, Average Loss  0.879283, Time  0.265069
2021-09-15 17:13:03.046532 : Epoch  1, Batch   1168, Loss  0.897308, Average Loss  0.879472, Time  0.266207
2021-09-15 17:13:06.079119 : Epoch  1, Batch   1169, Loss  0.881226, Average Loss  0.879595, Time  0.266737
2021-09-15 17:13:09.100351 : Epoch  1, Batch   1170, Loss  0.874296, Average Loss  0.879524, Time  0.266086
2021-09-15 17:13:12.077437 : Epoch  1, Batch   1171, Loss  0.885878, Average Loss  0.879564, Time  0.265665
2021-09-15 17:13:15.101320 : Epoch  1, Batch   1172, Loss  0.862307, Average Loss  0.879499, Time  0.265814
2021-09-15 17:13:18.100379 : Epoch  1, Batch   1173, Loss  0.861696, Average Loss  0.879345, Time  0.265267
2021-09-15 17:13:21.098522 : Epoch  1, Batch   1174, Loss  0.869065, Average Loss  0.879234, Time  0.265322
2021-09-15 17:13:24.107948 : Epoch  1, Batch   1175, Loss  0.871948, Average Loss  0.879096, Time  0.273616
2021-09-15 17:13:27.088905 : Epoch  1, Batch   1176, Loss  0.853578, Average Loss  0.878947, Time  0.266322
2021-09-15 17:13:30.109987 : Epoch  1, Batch   1177, Loss  0.894346, Average Loss  0.879050, Time  0.265971
2021-09-15 17:13:33.122085 : Epoch  1, Batch   1178, Loss  0.874358, Average Loss  0.878935, Time  0.266044
2021-09-15 17:13:36.117555 : Epoch  1, Batch   1179, Loss  0.876637, Average Loss  0.878962, Time  0.265486
2021-09-15 17:13:39.137141 : Epoch  1, Batch   1180, Loss  0.888033, Average Loss  0.879020, Time  0.265828
2021-09-15 17:13:42.155153 : Epoch  1, Batch   1181, Loss  0.886497, Average Loss  0.878969, Time  0.266268
2021-09-15 17:13:45.148731 : Epoch  1, Batch   1182, Loss  0.875182, Average Loss  0.878975, Time  0.265594
2021-09-15 17:13:48.148040 : Epoch  1, Batch   1183, Loss  0.850200, Average Loss  0.878725, Time  0.266314
2021-09-15 17:13:51.134076 : Epoch  1, Batch   1184, Loss  0.872998, Average Loss  0.878696, Time  0.266458
2021-09-15 17:13:54.147832 : Epoch  1, Batch   1185, Loss  0.881438, Average Loss  0.878691, Time  0.266071
2021-09-15 17:13:57.130314 : Epoch  1, Batch   1186, Loss  0.855174, Average Loss  0.878539, Time  0.266208
2021-09-15 17:14:00.149834 : Epoch  1, Batch   1187, Loss  0.865858, Average Loss  0.878492, Time  0.265829
2021-09-15 17:14:03.155480 : Epoch  1, Batch   1188, Loss  0.881233, Average Loss  0.878459, Time  0.265207
2021-09-15 17:14:06.151367 : Epoch  1, Batch   1189, Loss  0.879851, Average Loss  0.878464, Time  0.266596
2021-09-15 17:14:09.149823 : Epoch  1, Batch   1190, Loss  0.889287, Average Loss  0.878464, Time  0.276943
2021-09-15 17:14:12.134827 : Epoch  1, Batch   1191, Loss  0.896913, Average Loss  0.878482, Time  0.266503
2021-09-15 17:14:15.114912 : Epoch  1, Batch   1192, Loss  0.898244, Average Loss  0.878720, Time  0.265662
2021-09-15 17:14:18.102310 : Epoch  1, Batch   1193, Loss  0.884437, Average Loss  0.878765, Time  0.264616
2021-09-15 17:14:21.097858 : Epoch  1, Batch   1194, Loss  0.882198, Average Loss  0.878870, Time  0.265316
2021-09-15 17:14:24.081017 : Epoch  1, Batch   1195, Loss  0.894498, Average Loss  0.878961, Time  0.264796
2021-09-15 17:14:27.077415 : Epoch  1, Batch   1196, Loss  0.873237, Average Loss  0.878980, Time  0.265051
2021-09-15 17:14:30.057785 : Epoch  1, Batch   1197, Loss  0.861745, Average Loss  0.878777, Time  0.265092
2021-09-15 17:14:33.030170 : Epoch  1, Batch   1198, Loss  0.873432, Average Loss  0.878664, Time  0.265059
2021-09-15 17:14:36.020799 : Epoch  1, Batch   1199, Loss  0.879790, Average Loss  0.878646, Time  0.265685
2021-09-15 17:14:39.033365 : Epoch  1, Batch   1200, Loss  0.856523, Average Loss  0.878558, Time  0.266180
2021-09-15 17:19:20.027032 : CheckPoint: Validation Loss  0.00031417, Best Loss  0.00029628
2021-09-15 17:19:23.028744 : Epoch  1, Batch   1201, Loss  0.862827, Average Loss  0.878478, Time  0.267861
2021-09-15 17:19:26.030184 : Epoch  1, Batch   1202, Loss  0.874759, Average Loss  0.878400, Time  0.267320
2021-09-15 17:19:29.023513 : Epoch  1, Batch   1203, Loss  0.875003, Average Loss  0.878357, Time  0.266080
2021-09-15 17:19:32.038112 : Epoch  1, Batch   1204, Loss  0.865331, Average Loss  0.878180, Time  0.277512
2021-09-15 17:19:35.030807 : Epoch  1, Batch   1205, Loss  0.898389, Average Loss  0.878147, Time  0.267495
2021-09-15 17:19:38.052776 : Epoch  1, Batch   1206, Loss  0.880149, Average Loss  0.878137, Time  0.265874
2021-09-15 17:19:41.033860 : Epoch  1, Batch   1207, Loss  0.869945, Average Loss  0.878023, Time  0.265437
2021-09-15 17:19:44.018955 : Epoch  1, Batch   1208, Loss  0.882495, Average Loss  0.878042, Time  0.265607
2021-09-15 17:19:47.045222 : Epoch  1, Batch   1209, Loss  0.872255, Average Loss  0.877894, Time  0.265474
2021-09-15 17:19:50.045504 : Epoch  1, Batch   1210, Loss  0.879064, Average Loss  0.877808, Time  0.266096
2021-09-15 17:19:53.035321 : Epoch  1, Batch   1211, Loss  0.880441, Average Loss  0.877884, Time  0.265543
2021-09-15 17:19:56.012374 : Epoch  1, Batch   1212, Loss  0.878349, Average Loss  0.877852, Time  0.264861
2021-09-15 17:19:58.983922 : Epoch  1, Batch   1213, Loss  0.887026, Average Loss  0.877974, Time  0.265313
2021-09-15 17:20:01.995816 : Epoch  1, Batch   1214, Loss  0.892770, Average Loss  0.878065, Time  0.265603
2021-09-15 17:20:05.014557 : Epoch  1, Batch   1215, Loss  0.893263, Average Loss  0.878052, Time  0.265316
2021-09-15 17:20:08.060721 : Epoch  1, Batch   1216, Loss  0.901840, Average Loss  0.878234, Time  0.265207
2021-09-15 17:20:11.038081 : Epoch  1, Batch   1217, Loss  0.876226, Average Loss  0.878123, Time  0.264831
2021-09-15 17:20:14.012131 : Epoch  1, Batch   1218, Loss  0.880016, Average Loss  0.878120, Time  0.264674
2021-09-15 17:20:17.018370 : Epoch  1, Batch   1219, Loss  0.883618, Average Loss  0.878120, Time  0.278170
2021-09-15 17:20:20.010326 : Epoch  1, Batch   1220, Loss  0.884553, Average Loss  0.878056, Time  0.266784
2021-09-15 17:20:23.025182 : Epoch  1, Batch   1221, Loss  0.874998, Average Loss  0.878018, Time  0.266289
2021-09-15 17:20:26.040685 : Epoch  1, Batch   1222, Loss  0.875184, Average Loss  0.878034, Time  0.266100
2021-09-15 17:20:29.024770 : Epoch  1, Batch   1223, Loss  0.879334, Average Loss  0.878108, Time  0.266002
2021-09-15 17:20:32.038369 : Epoch  1, Batch   1224, Loss  0.869873, Average Loss  0.878140, Time  0.268231
2021-09-15 17:20:35.045274 : Epoch  1, Batch   1225, Loss  0.863356, Average Loss  0.877981, Time  0.264952
2021-09-15 17:20:38.034493 : Epoch  1, Batch   1226, Loss  0.867587, Average Loss  0.877836, Time  0.266323
2021-09-15 17:20:41.035070 : Epoch  1, Batch   1227, Loss  0.855169, Average Loss  0.877728, Time  0.265541
2021-09-15 17:20:44.020894 : Epoch  1, Batch   1228, Loss  0.871899, Average Loss  0.877643, Time  0.265440
2021-09-15 17:20:47.012674 : Epoch  1, Batch   1229, Loss  0.872304, Average Loss  0.877723, Time  0.264610
2021-09-15 17:20:49.998118 : Epoch  1, Batch   1230, Loss  0.839342, Average Loss  0.877574, Time  0.265296
2021-09-15 17:20:52.978277 : Epoch  1, Batch   1231, Loss  0.860979, Average Loss  0.877581, Time  0.264803
2021-09-15 17:20:55.964892 : Epoch  1, Batch   1232, Loss  0.886075, Average Loss  0.877711, Time  0.265495
2021-09-15 17:20:58.970282 : Epoch  1, Batch   1233, Loss  0.870861, Average Loss  0.877744, Time  0.265359
2021-09-15 17:21:01.990431 : Epoch  1, Batch   1234, Loss  0.892113, Average Loss  0.877912, Time  0.276193
2021-09-15 17:21:04.974192 : Epoch  1, Batch   1235, Loss  0.906397, Average Loss  0.878036, Time  0.266507
2021-09-15 17:21:07.974182 : Epoch  1, Batch   1236, Loss  0.892485, Average Loss  0.878201, Time  0.264995
2021-09-15 17:21:10.969129 : Epoch  1, Batch   1237, Loss  0.866557, Average Loss  0.878151, Time  0.265400
2021-09-15 17:21:13.982074 : Epoch  1, Batch   1238, Loss  0.869682, Average Loss  0.877979, Time  0.266273
2021-09-15 17:21:16.984078 : Epoch  1, Batch   1239, Loss  0.889634, Average Loss  0.878059, Time  0.264940
2021-09-15 17:21:19.971284 : Epoch  1, Batch   1240, Loss  0.873114, Average Loss  0.878084, Time  0.267041
2021-09-15 17:21:22.960591 : Epoch  1, Batch   1241, Loss  0.869786, Average Loss  0.878083, Time  0.266199
2021-09-15 17:21:25.957051 : Epoch  1, Batch   1242, Loss  0.884092, Average Loss  0.878073, Time  0.266264
2021-09-15 17:21:28.972978 : Epoch  1, Batch   1243, Loss  0.877804, Average Loss  0.878071, Time  0.266348
2021-09-15 17:21:31.957430 : Epoch  1, Batch   1244, Loss  0.889817, Average Loss  0.878103, Time  0.265301
2021-09-15 17:21:34.954296 : Epoch  1, Batch   1245, Loss  0.873657, Average Loss  0.878009, Time  0.265914
2021-09-15 17:21:37.951754 : Epoch  1, Batch   1246, Loss  0.865582, Average Loss  0.877974, Time  0.266731
2021-09-15 17:21:40.932502 : Epoch  1, Batch   1247, Loss  0.886811, Average Loss  0.877985, Time  0.265487
2021-09-15 17:21:43.917674 : Epoch  1, Batch   1248, Loss  0.885364, Average Loss  0.877982, Time  0.265012
2021-09-15 17:21:46.921674 : Epoch  1, Batch   1249, Loss  0.880811, Average Loss  0.877987, Time  0.277701
2021-09-15 17:21:49.933942 : Epoch  1, Batch   1250, Loss  0.872120, Average Loss  0.877971, Time  0.265516
2021-09-15 17:21:52.933008 : Epoch  1, Batch   1251, Loss  0.879903, Average Loss  0.877927, Time  0.265976
2021-09-15 17:21:55.921510 : Epoch  1, Batch   1252, Loss  0.867817, Average Loss  0.877885, Time  0.265976
2021-09-15 17:21:58.930334 : Epoch  1, Batch   1253, Loss  0.888623, Average Loss  0.877917, Time  0.265433
2021-09-15 17:22:01.930157 : Epoch  1, Batch   1254, Loss  0.880773, Average Loss  0.877876, Time  0.265794
2021-09-15 17:22:04.938485 : Epoch  1, Batch   1255, Loss  0.878039, Average Loss  0.877980, Time  0.265131
2021-09-15 17:22:07.948237 : Epoch  1, Batch   1256, Loss  0.867160, Average Loss  0.877881, Time  0.266459
2021-09-15 17:22:10.951252 : Epoch  1, Batch   1257, Loss  0.884050, Average Loss  0.878030, Time  0.265242
2021-09-15 17:22:13.943542 : Epoch  1, Batch   1258, Loss  0.866237, Average Loss  0.877991, Time  0.266032
2021-09-15 17:22:16.955580 : Epoch  1, Batch   1259, Loss  0.886517, Average Loss  0.878060, Time  0.265668
2021-09-15 17:22:19.976078 : Epoch  1, Batch   1260, Loss  0.859247, Average Loss  0.877930, Time  0.265746
2021-09-15 17:22:22.973957 : Epoch  1, Batch   1261, Loss  0.879559, Average Loss  0.877927, Time  0.265727
2021-09-15 17:22:25.966192 : Epoch  1, Batch   1262, Loss  0.887507, Average Loss  0.878004, Time  0.267865
2021-09-15 17:22:28.957507 : Epoch  1, Batch   1263, Loss  0.871916, Average Loss  0.878007, Time  0.265301
2021-09-15 17:22:31.971725 : Epoch  1, Batch   1264, Loss  0.886880, Average Loss  0.878036, Time  0.274748
2021-09-15 17:22:34.959795 : Epoch  1, Batch   1265, Loss  0.875490, Average Loss  0.878008, Time  0.266048
2021-09-15 17:22:37.961919 : Epoch  1, Batch   1266, Loss  0.874207, Average Loss  0.877899, Time  0.266189
2021-09-15 17:22:40.946253 : Epoch  1, Batch   1267, Loss  0.889194, Average Loss  0.877854, Time  0.266633
2021-09-15 17:22:43.935778 : Epoch  1, Batch   1268, Loss  0.883493, Average Loss  0.877802, Time  0.265119
2021-09-15 17:22:46.943762 : Epoch  1, Batch   1269, Loss  0.878039, Average Loss  0.877712, Time  0.265205
2021-09-15 17:22:49.926712 : Epoch  1, Batch   1270, Loss  0.882238, Average Loss  0.877666, Time  0.265757
2021-09-15 17:22:52.911876 : Epoch  1, Batch   1271, Loss  0.878318, Average Loss  0.877601, Time  0.265672
2021-09-15 17:22:55.911321 : Epoch  1, Batch   1272, Loss  0.877339, Average Loss  0.877656, Time  0.264910
2021-09-15 17:22:58.897465 : Epoch  1, Batch   1273, Loss  0.877084, Average Loss  0.877681, Time  0.265923
2021-09-15 17:23:01.879801 : Epoch  1, Batch   1274, Loss  0.865161, Average Loss  0.877641, Time  0.265651
2021-09-15 17:23:04.859648 : Epoch  1, Batch   1275, Loss  0.870688, Average Loss  0.877553, Time  0.265506
2021-09-15 17:23:07.842177 : Epoch  1, Batch   1276, Loss  0.889589, Average Loss  0.877765, Time  0.265510
2021-09-15 17:23:10.821899 : Epoch  1, Batch   1277, Loss  0.873396, Average Loss  0.877770, Time  0.265046
2021-09-15 17:23:13.807425 : Epoch  1, Batch   1278, Loss  0.885260, Average Loss  0.877688, Time  0.265187
2021-09-15 17:23:16.828731 : Epoch  1, Batch   1279, Loss  0.887143, Average Loss  0.877820, Time  0.277922
2021-09-15 17:23:19.833930 : Epoch  1, Batch   1280, Loss  0.874167, Average Loss  0.877804, Time  0.265743
2021-09-15 17:23:22.818131 : Epoch  1, Batch   1281, Loss  0.894625, Average Loss  0.877845, Time  0.266138
2021-09-15 17:23:25.824523 : Epoch  1, Batch   1282, Loss  0.886138, Average Loss  0.877836, Time  0.265338
2021-09-15 17:23:28.796000 : Epoch  1, Batch   1283, Loss  0.865635, Average Loss  0.877688, Time  0.266623
2021-09-15 17:23:31.780646 : Epoch  1, Batch   1284, Loss  0.881322, Average Loss  0.877772, Time  0.266473
2021-09-15 17:23:34.760818 : Epoch  1, Batch   1285, Loss  0.872918, Average Loss  0.877775, Time  0.266256
2021-09-15 17:23:37.742040 : Epoch  1, Batch   1286, Loss  0.868656, Average Loss  0.877845, Time  0.266082
2021-09-15 17:23:40.758834 : Epoch  1, Batch   1287, Loss  0.872598, Average Loss  0.877782, Time  0.266720
2021-09-15 17:23:43.761480 : Epoch  1, Batch   1288, Loss  0.877464, Average Loss  0.877795, Time  0.265875
2021-09-15 17:23:46.748950 : Epoch  1, Batch   1289, Loss  0.868170, Average Loss  0.877725, Time  0.266479
2021-09-15 17:23:49.758180 : Epoch  1, Batch   1290, Loss  0.863322, Average Loss  0.877595, Time  0.265340
2021-09-15 17:23:52.740270 : Epoch  1, Batch   1291, Loss  0.870972, Average Loss  0.877517, Time  0.266092
2021-09-15 17:23:55.745358 : Epoch  1, Batch   1292, Loss  0.888123, Average Loss  0.877503, Time  0.265708
2021-09-15 17:23:58.725187 : Epoch  1, Batch   1293, Loss  0.882823, Average Loss  0.877485, Time  0.265792
2021-09-15 17:24:01.706204 : Epoch  1, Batch   1294, Loss  0.865903, Average Loss  0.877432, Time  0.271606
2021-09-15 17:24:04.684509 : Epoch  1, Batch   1295, Loss  0.867676, Average Loss  0.877533, Time  0.266011
2021-09-15 17:24:07.702535 : Epoch  1, Batch   1296, Loss  0.885509, Average Loss  0.877620, Time  0.264976
2021-09-15 17:24:10.695326 : Epoch  1, Batch   1297, Loss  0.879829, Average Loss  0.877586, Time  0.265083
2021-09-15 17:24:13.685038 : Epoch  1, Batch   1298, Loss  0.852145, Average Loss  0.877445, Time  0.266389
2021-09-15 17:24:16.702336 : Epoch  1, Batch   1299, Loss  0.884428, Average Loss  0.877542, Time  0.265537
2021-09-15 17:24:19.663837 : Epoch  1, Batch   1300, Loss  0.890634, Average Loss  0.877680, Time  0.264663
2021-09-15 17:29:00.118810 : CheckPoint: Validation Loss  0.00029766, Best Loss  0.00029628
2021-09-15 17:29:03.100261 : Epoch  1, Batch   1301, Loss  0.885784, Average Loss  0.877727, Time  0.266988
2021-09-15 17:29:06.085671 : Epoch  1, Batch   1302, Loss  0.871706, Average Loss  0.877702, Time  0.266423
2021-09-15 17:29:09.097516 : Epoch  1, Batch   1303, Loss  0.861263, Average Loss  0.877585, Time  0.265558
2021-09-15 17:29:12.083466 : Epoch  1, Batch   1304, Loss  0.852561, Average Loss  0.877431, Time  0.266611
2021-09-15 17:29:15.078079 : Epoch  1, Batch   1305, Loss  0.879253, Average Loss  0.877438, Time  0.265537
2021-09-15 17:29:18.052359 : Epoch  1, Batch   1306, Loss  0.888968, Average Loss  0.877485, Time  0.265083
2021-09-15 17:29:21.057637 : Epoch  1, Batch   1307, Loss  0.862370, Average Loss  0.877376, Time  0.265934
2021-09-15 17:29:24.067507 : Epoch  1, Batch   1308, Loss  0.894220, Average Loss  0.877441, Time  0.273352
2021-09-15 17:29:27.077887 : Epoch  1, Batch   1309, Loss  0.876683, Average Loss  0.877407, Time  0.266104
2021-09-15 17:29:30.080738 : Epoch  1, Batch   1310, Loss  0.876289, Average Loss  0.877436, Time  0.266376
2021-09-15 17:29:33.086489 : Epoch  1, Batch   1311, Loss  0.879415, Average Loss  0.877325, Time  0.265800
2021-09-15 17:29:36.110917 : Epoch  1, Batch   1312, Loss  0.873047, Average Loss  0.877419, Time  0.265689
2021-09-15 17:29:39.123242 : Epoch  1, Batch   1313, Loss  0.857728, Average Loss  0.877322, Time  0.266449
2021-09-15 17:29:42.137927 : Epoch  1, Batch   1314, Loss  0.884356, Average Loss  0.877395, Time  0.265057
2021-09-15 17:29:45.132321 : Epoch  1, Batch   1315, Loss  0.882904, Average Loss  0.877335, Time  0.265480
2021-09-15 17:29:48.119855 : Epoch  1, Batch   1316, Loss  0.888496, Average Loss  0.877346, Time  0.264370
2021-09-15 17:29:51.105331 : Epoch  1, Batch   1317, Loss  0.859709, Average Loss  0.877115, Time  0.266211
2021-09-15 17:29:54.089622 : Epoch  1, Batch   1318, Loss  0.900933, Average Loss  0.877178, Time  0.265892
2021-09-15 17:29:57.080633 : Epoch  1, Batch   1319, Loss  0.899048, Average Loss  0.877353, Time  0.264913
2021-09-15 17:30:00.062770 : Epoch  1, Batch   1320, Loss  0.856387, Average Loss  0.877293, Time  0.264761
2021-09-15 17:30:03.076747 : Epoch  1, Batch   1321, Loss  0.887981, Average Loss  0.877413, Time  0.267448
2021-09-15 17:30:06.087041 : Epoch  1, Batch   1322, Loss  0.868230, Average Loss  0.877387, Time  0.265427
2021-09-15 17:30:09.109228 : Epoch  1, Batch   1323, Loss  0.880382, Average Loss  0.877439, Time  0.278148
2021-09-15 17:30:12.089438 : Epoch  1, Batch   1324, Loss  0.861446, Average Loss  0.877369, Time  0.265861
2021-09-15 17:30:15.094204 : Epoch  1, Batch   1325, Loss  0.888313, Average Loss  0.877466, Time  0.266213
2021-09-15 17:30:18.112642 : Epoch  1, Batch   1326, Loss  0.875437, Average Loss  0.877454, Time  0.266286
2021-09-15 17:30:21.134954 : Epoch  1, Batch   1327, Loss  0.859518, Average Loss  0.877365, Time  0.265545
2021-09-15 17:30:24.143354 : Epoch  1, Batch   1328, Loss  0.873127, Average Loss  0.877326, Time  0.265094
2021-09-15 17:30:27.143038 : Epoch  1, Batch   1329, Loss  0.903385, Average Loss  0.877425, Time  0.265360
2021-09-15 17:30:30.148858 : Epoch  1, Batch   1330, Loss  0.857862, Average Loss  0.877251, Time  0.265895
2021-09-15 17:30:33.151483 : Epoch  1, Batch   1331, Loss  0.877013, Average Loss  0.877213, Time  0.265409
2021-09-15 17:30:36.139335 : Epoch  1, Batch   1332, Loss  0.879649, Average Loss  0.877198, Time  0.265914
2021-09-15 17:30:39.123170 : Epoch  1, Batch   1333, Loss  0.891024, Average Loss  0.877236, Time  0.265093
2021-09-15 17:30:42.091925 : Epoch  1, Batch   1334, Loss  0.881185, Average Loss  0.877291, Time  0.265763
2021-09-15 17:30:45.071777 : Epoch  1, Batch   1335, Loss  0.862154, Average Loss  0.877237, Time  0.264725
2021-09-15 17:30:48.052815 : Epoch  1, Batch   1336, Loss  0.882824, Average Loss  0.877191, Time  0.265000
2021-09-15 17:30:51.057984 : Epoch  1, Batch   1337, Loss  0.865777, Average Loss  0.877004, Time  0.265896
2021-09-15 17:30:54.053697 : Epoch  1, Batch   1338, Loss  0.857534, Average Loss  0.876913, Time  0.277076
2021-09-15 17:30:57.039380 : Epoch  1, Batch   1339, Loss  0.882400, Average Loss  0.877053, Time  0.266121
2021-09-15 17:31:00.037201 : Epoch  1, Batch   1340, Loss  0.865007, Average Loss  0.876949, Time  0.266485
2021-09-15 17:31:03.064705 : Epoch  1, Batch   1341, Loss  0.875014, Average Loss  0.876992, Time  0.267093
2021-09-15 17:31:06.041202 : Epoch  1, Batch   1342, Loss  0.888421, Average Loss  0.877086, Time  0.265134
2021-09-15 17:31:09.024052 : Epoch  1, Batch   1343, Loss  0.867432, Average Loss  0.877014, Time  0.266436
2021-09-15 17:31:12.020489 : Epoch  1, Batch   1344, Loss  0.891939, Average Loss  0.877082, Time  0.266032
2021-09-15 17:31:15.014524 : Epoch  1, Batch   1345, Loss  0.879037, Average Loss  0.877105, Time  0.265668
2021-09-15 17:31:18.015487 : Epoch  1, Batch   1346, Loss  0.896095, Average Loss  0.877090, Time  0.265565
2021-09-15 17:31:20.996808 : Epoch  1, Batch   1347, Loss  0.903551, Average Loss  0.877194, Time  0.265467
2021-09-15 17:31:23.967962 : Epoch  1, Batch   1348, Loss  0.877149, Average Loss  0.877198, Time  0.265371
2021-09-15 17:31:26.961290 : Epoch  1, Batch   1349, Loss  0.888032, Average Loss  0.877282, Time  0.265036
2021-09-15 17:31:29.945794 : Epoch  1, Batch   1350, Loss  0.896620, Average Loss  0.877345, Time  0.265431
2021-09-15 17:31:32.952317 : Epoch  1, Batch   1351, Loss  0.879567, Average Loss  0.877304, Time  0.266041
2021-09-15 17:31:35.954529 : Epoch  1, Batch   1352, Loss  0.881671, Average Loss  0.877390, Time  0.265366
2021-09-15 17:31:38.946783 : Epoch  1, Batch   1353, Loss  0.859645, Average Loss  0.877327, Time  0.272973
2021-09-15 17:31:41.959194 : Epoch  1, Batch   1354, Loss  0.872378, Average Loss  0.877329, Time  0.266779
2021-09-15 17:31:44.931205 : Epoch  1, Batch   1355, Loss  0.889031, Average Loss  0.877438, Time  0.265496
2021-09-15 17:31:47.919553 : Epoch  1, Batch   1356, Loss  0.899307, Average Loss  0.877456, Time  0.265342
2021-09-15 17:31:50.887507 : Epoch  1, Batch   1357, Loss  0.887637, Average Loss  0.877502, Time  0.263949
2021-09-15 17:31:53.899330 : Epoch  1, Batch   1358, Loss  0.884630, Average Loss  0.877534, Time  0.265075
2021-09-15 17:31:56.879119 : Epoch  1, Batch   1359, Loss  0.875275, Average Loss  0.877415, Time  0.265576
2021-09-15 17:31:59.877068 : Epoch  1, Batch   1360, Loss  0.886391, Average Loss  0.877419, Time  0.266551
2021-09-15 17:32:02.878051 : Epoch  1, Batch   1361, Loss  0.863441, Average Loss  0.877421, Time  0.266220
2021-09-15 17:32:05.853410 : Epoch  1, Batch   1362, Loss  0.855593, Average Loss  0.877243, Time  0.265934
2021-09-15 17:32:08.835121 : Epoch  1, Batch   1363, Loss  0.870379, Average Loss  0.877257, Time  0.265865
2021-09-15 17:32:11.833138 : Epoch  1, Batch   1364, Loss  0.872417, Average Loss  0.877373, Time  0.266287
2021-09-15 17:32:14.814781 : Epoch  1, Batch   1365, Loss  0.887430, Average Loss  0.877406, Time  0.267274
2021-09-15 17:32:17.801230 : Epoch  1, Batch   1366, Loss  0.872911, Average Loss  0.877368, Time  0.265488
2021-09-15 17:32:20.781307 : Epoch  1, Batch   1367, Loss  0.877012, Average Loss  0.877419, Time  0.266623
2021-09-15 17:32:23.795235 : Epoch  1, Batch   1368, Loss  0.870066, Average Loss  0.877283, Time  0.277261
2021-09-15 17:32:26.817923 : Epoch  1, Batch   1369, Loss  0.847531, Average Loss  0.877114, Time  0.266931
2021-09-15 17:32:29.808413 : Epoch  1, Batch   1370, Loss  0.881675, Average Loss  0.877151, Time  0.265981
2021-09-15 17:32:32.816435 : Epoch  1, Batch   1371, Loss  0.886469, Average Loss  0.877154, Time  0.265283
2021-09-15 17:32:35.826547 : Epoch  1, Batch   1372, Loss  0.875646, Average Loss  0.877221, Time  0.266554
2021-09-15 17:32:38.788454 : Epoch  1, Batch   1373, Loss  0.889978, Average Loss  0.877362, Time  0.266115
2021-09-15 17:32:41.767264 : Epoch  1, Batch   1374, Loss  0.890167, Average Loss  0.877468, Time  0.263363
2021-09-15 17:32:44.718434 : Epoch  1, Batch   1375, Loss  0.873784, Average Loss  0.877477, Time  0.264550
2021-09-15 17:32:47.692832 : Epoch  1, Batch   1376, Loss  0.877429, Average Loss  0.877596, Time  0.264925
2021-09-15 17:32:50.666720 : Epoch  1, Batch   1377, Loss  0.857541, Average Loss  0.877412, Time  0.265663
2021-09-15 17:32:53.633984 : Epoch  1, Batch   1378, Loss  0.888852, Average Loss  0.877485, Time  0.265469
2021-09-15 17:32:56.617134 : Epoch  1, Batch   1379, Loss  0.880694, Average Loss  0.877505, Time  0.265244
2021-09-15 17:32:59.608381 : Epoch  1, Batch   1380, Loss  0.867209, Average Loss  0.877401, Time  0.265063
2021-09-15 17:33:02.583047 : Epoch  1, Batch   1381, Loss  0.846092, Average Loss  0.877199, Time  0.266321
2021-09-15 17:33:05.580351 : Epoch  1, Batch   1382, Loss  0.902314, Average Loss  0.877335, Time  0.266501
2021-09-15 17:33:08.574655 : Epoch  1, Batch   1383, Loss  0.862624, Average Loss  0.877397, Time  0.277318
2021-09-15 17:33:11.512135 : Epoch  1, Batch   1384, Loss  0.880667, Average Loss  0.877435, Time  0.264972
2021-09-15 17:33:14.488049 : Epoch  1, Batch   1385, Loss  0.874704, Average Loss  0.877401, Time  0.265150
2021-09-15 17:33:17.453919 : Epoch  1, Batch   1386, Loss  0.861600, Average Loss  0.877433, Time  0.265223
2021-09-15 17:33:20.447010 : Epoch  1, Batch   1387, Loss  0.881728, Average Loss  0.877513, Time  0.266681
2021-09-15 17:33:23.424926 : Epoch  1, Batch   1388, Loss  0.868437, Average Loss  0.877449, Time  0.265450
2021-09-15 17:33:26.412059 : Epoch  1, Batch   1389, Loss  0.898686, Average Loss  0.877543, Time  0.264856
2021-09-15 17:33:29.411632 : Epoch  1, Batch   1390, Loss  0.868135, Average Loss  0.877437, Time  0.265984
2021-09-15 17:33:32.389539 : Epoch  1, Batch   1391, Loss  0.862988, Average Loss  0.877268, Time  0.265056
2021-09-15 17:33:35.357672 : Epoch  1, Batch   1392, Loss  0.863773, Average Loss  0.877095, Time  0.265130
2021-09-15 17:33:38.323266 : Epoch  1, Batch   1393, Loss  0.871849, Average Loss  0.877032, Time  0.264931
2021-09-15 17:33:41.290488 : Epoch  1, Batch   1394, Loss  0.870950, Average Loss  0.876976, Time  0.264886
2021-09-15 17:33:44.256444 : Epoch  1, Batch   1395, Loss  0.888269, Average Loss  0.876945, Time  0.265204
2021-09-15 17:33:47.253711 : Epoch  1, Batch   1396, Loss  0.863323, Average Loss  0.876895, Time  0.266966
2021-09-15 17:33:50.259938 : Epoch  1, Batch   1397, Loss  0.882737, Average Loss  0.877000, Time  0.265299
2021-09-15 17:33:53.248342 : Epoch  1, Batch   1398, Loss  0.863784, Average Loss  0.876952, Time  0.266344
2021-09-15 17:33:56.256883 : Epoch  1, Batch   1399, Loss  0.861116, Average Loss  0.876859, Time  0.276511
2021-09-15 17:33:59.232266 : Epoch  1, Batch   1400, Loss  0.864202, Average Loss  0.876897, Time  0.265496
2021-09-15 17:38:39.302109 : CheckPoint: Validation Loss  0.00031588, Best Loss  0.00029628
2021-09-15 17:38:42.284940 : Epoch  1, Batch   1401, Loss  0.894524, Average Loss  0.877056, Time  0.266504
2021-09-15 17:38:45.295760 : Epoch  1, Batch   1402, Loss  0.875156, Average Loss  0.877058, Time  0.266340
2021-09-15 17:38:48.290095 : Epoch  1, Batch   1403, Loss  0.857850, Average Loss  0.876972, Time  0.266390
2021-09-15 17:38:51.307581 : Epoch  1, Batch   1404, Loss  0.875748, Average Loss  0.877024, Time  0.266169
2021-09-15 17:38:54.299899 : Epoch  1, Batch   1405, Loss  0.898888, Average Loss  0.877026, Time  0.266122
2021-09-15 17:38:57.285357 : Epoch  1, Batch   1406, Loss  0.881668, Average Loss  0.877034, Time  0.265640
2021-09-15 17:39:00.287275 : Epoch  1, Batch   1407, Loss  0.894560, Average Loss  0.877157, Time  0.265786
2021-09-15 17:39:03.301545 : Epoch  1, Batch   1408, Loss  0.888988, Average Loss  0.877190, Time  0.265616
2021-09-15 17:39:06.315178 : Epoch  1, Batch   1409, Loss  0.879609, Average Loss  0.877226, Time  0.265067
2021-09-15 17:39:09.303919 : Epoch  1, Batch   1410, Loss  0.885050, Average Loss  0.877256, Time  0.265883
2021-09-15 17:39:12.293017 : Epoch  1, Batch   1411, Loss  0.853884, Average Loss  0.877123, Time  0.265871
2021-09-15 17:39:15.285926 : Epoch  1, Batch   1412, Loss  0.879451, Average Loss  0.877129, Time  0.277131
2021-09-15 17:39:18.274622 : Epoch  1, Batch   1413, Loss  0.861890, Average Loss  0.877003, Time  0.266335
2021-09-15 17:39:21.288516 : Epoch  1, Batch   1414, Loss  0.877507, Average Loss  0.876927, Time  0.266448
2021-09-15 17:39:24.275397 : Epoch  1, Batch   1415, Loss  0.878228, Average Loss  0.876852, Time  0.266080
2021-09-15 17:39:27.263828 : Epoch  1, Batch   1416, Loss  0.887652, Average Loss  0.876781, Time  0.264711
2021-09-15 17:39:30.251237 : Epoch  1, Batch   1417, Loss  0.878911, Average Loss  0.876794, Time  0.266910
2021-09-15 17:39:33.231393 : Epoch  1, Batch   1418, Loss  0.855739, Average Loss  0.876673, Time  0.265558
2021-09-15 17:39:36.233000 : Epoch  1, Batch   1419, Loss  0.884742, Average Loss  0.876678, Time  0.266120
2021-09-15 17:39:39.256232 : Epoch  1, Batch   1420, Loss  0.876581, Average Loss  0.876639, Time  0.268843
2021-09-15 17:39:42.264319 : Epoch  1, Batch   1421, Loss  0.889470, Average Loss  0.876711, Time  0.267295
2021-09-15 17:39:45.259290 : Epoch  1, Batch   1422, Loss  0.880615, Average Loss  0.876738, Time  0.266389
2021-09-15 17:39:48.247751 : Epoch  1, Batch   1423, Loss  0.870502, Average Loss  0.876694, Time  0.265982
2021-09-15 17:39:51.298500 : Epoch  1, Batch   1424, Loss  0.869113, Average Loss  0.876690, Time  0.266900
2021-09-15 17:39:54.313719 : Epoch  1, Batch   1425, Loss  0.881411, Average Loss  0.876780, Time  0.265969
2021-09-15 17:39:57.323468 : Epoch  1, Batch   1426, Loss  0.864912, Average Loss  0.876767, Time  0.265244
2021-09-15 17:40:00.307485 : Epoch  1, Batch   1427, Loss  0.867499, Average Loss  0.876829, Time  0.265412
2021-09-15 17:40:03.317741 : Epoch  1, Batch   1428, Loss  0.856436, Average Loss  0.876751, Time  0.273021
2021-09-15 17:40:06.315216 : Epoch  1, Batch   1429, Loss  0.880251, Average Loss  0.876791, Time  0.265547
2021-09-15 17:40:09.307287 : Epoch  1, Batch   1430, Loss  0.859754, Average Loss  0.876893, Time  0.264383
2021-09-15 17:40:12.280298 : Epoch  1, Batch   1431, Loss  0.886802, Average Loss  0.877022, Time  0.264857
2021-09-15 17:40:15.257915 : Epoch  1, Batch   1432, Loss  0.889920, Average Loss  0.877042, Time  0.265646
2021-09-15 17:40:18.276672 : Epoch  1, Batch   1433, Loss  0.844877, Average Loss  0.876912, Time  0.265762
2021-09-15 17:40:21.253911 : Epoch  1, Batch   1434, Loss  0.883133, Average Loss  0.876867, Time  0.265791
2021-09-15 17:40:24.258538 : Epoch  1, Batch   1435, Loss  0.869903, Average Loss  0.876684, Time  0.265274
2021-09-15 17:40:27.280661 : Epoch  1, Batch   1436, Loss  0.881379, Average Loss  0.876629, Time  0.265579
2021-09-15 17:40:30.301478 : Epoch  1, Batch   1437, Loss  0.870770, Average Loss  0.876650, Time  0.265997
2021-09-15 17:40:33.281296 : Epoch  1, Batch   1438, Loss  0.872386, Average Loss  0.876663, Time  0.265214
2021-09-15 17:40:36.267838 : Epoch  1, Batch   1439, Loss  0.883279, Average Loss  0.876632, Time  0.265653
2021-09-15 17:40:39.269158 : Epoch  1, Batch   1440, Loss  0.892663, Average Loss  0.876729, Time  0.266159
2021-09-15 17:40:42.251772 : Epoch  1, Batch   1441, Loss  0.902711, Average Loss  0.876894, Time  0.266615
2021-09-15 17:40:45.236557 : Epoch  1, Batch   1442, Loss  0.864073, Average Loss  0.876794, Time  0.265551
2021-09-15 17:40:48.245011 : Epoch  1, Batch   1443, Loss  0.865996, Average Loss  0.876735, Time  0.274815
2021-09-15 17:40:51.247072 : Epoch  1, Batch   1444, Loss  0.859428, Average Loss  0.876583, Time  0.266361
2021-09-15 17:40:54.269804 : Epoch  1, Batch   1445, Loss  0.881403, Average Loss  0.876622, Time  0.266742
2021-09-15 17:40:57.306937 : Epoch  1, Batch   1446, Loss  0.880347, Average Loss  0.876695, Time  0.265638
2021-09-15 17:41:00.295739 : Epoch  1, Batch   1447, Loss  0.871823, Average Loss  0.876620, Time  0.266092
2021-09-15 17:41:03.283218 : Epoch  1, Batch   1448, Loss  0.864230, Average Loss  0.876515, Time  0.264781
2021-09-15 17:41:06.297397 : Epoch  1, Batch   1449, Loss  0.876528, Average Loss  0.876493, Time  0.264771
2021-09-15 17:41:09.286403 : Epoch  1, Batch   1450, Loss  0.870018, Average Loss  0.876483, Time  0.265955
2021-09-15 17:41:12.275629 : Epoch  1, Batch   1451, Loss  0.874251, Average Loss  0.876455, Time  0.265524
2021-09-15 17:41:15.283045 : Epoch  1, Batch   1452, Loss  0.883544, Average Loss  0.876533, Time  0.265920
2021-09-15 17:41:18.263940 : Epoch  1, Batch   1453, Loss  0.864417, Average Loss  0.876412, Time  0.265600
2021-09-15 17:41:21.240690 : Epoch  1, Batch   1454, Loss  0.875370, Average Loss  0.876385, Time  0.266847
2021-09-15 17:41:24.302902 : Epoch  1, Batch   1455, Loss  0.852405, Average Loss  0.876257, Time  0.266346
2021-09-15 17:41:27.321435 : Epoch  1, Batch   1456, Loss  0.902176, Average Loss  0.876432, Time  0.265373
2021-09-15 17:41:30.340564 : Epoch  1, Batch   1457, Loss  0.874105, Average Loss  0.876382, Time  0.264618
2021-09-15 17:41:33.365185 : Epoch  1, Batch   1458, Loss  0.885627, Average Loss  0.876479, Time  0.274110
2021-09-15 17:41:36.337916 : Epoch  1, Batch   1459, Loss  0.859433, Average Loss  0.876344, Time  0.266091
2021-09-15 17:41:39.335007 : Epoch  1, Batch   1460, Loss  0.874192, Average Loss  0.876419, Time  0.265840
2021-09-15 17:41:42.319651 : Epoch  1, Batch   1461, Loss  0.871817, Average Loss  0.876380, Time  0.267512
2021-09-15 17:41:45.335660 : Epoch  1, Batch   1462, Loss  0.864365, Average Loss  0.876264, Time  0.266196
2021-09-15 17:41:48.356725 : Epoch  1, Batch   1463, Loss  0.874180, Average Loss  0.876276, Time  0.267445
2021-09-15 17:41:51.363971 : Epoch  1, Batch   1464, Loss  0.862855, Average Loss  0.876155, Time  0.266225
2021-09-15 17:41:54.365960 : Epoch  1, Batch   1465, Loss  0.886031, Average Loss  0.876208, Time  0.266349
2021-09-15 17:41:57.370458 : Epoch  1, Batch   1466, Loss  0.876117, Average Loss  0.876218, Time  0.265444
2021-09-15 17:42:00.354459 : Epoch  1, Batch   1467, Loss  0.866536, Average Loss  0.876104, Time  0.265821
2021-09-15 17:42:03.346474 : Epoch  1, Batch   1468, Loss  0.858500, Average Loss  0.875979, Time  0.266998
2021-09-15 17:42:06.335107 : Epoch  1, Batch   1469, Loss  0.869076, Average Loss  0.875935, Time  0.265408
2021-09-15 17:42:09.322157 : Epoch  1, Batch   1470, Loss  0.870181, Average Loss  0.875874, Time  0.265135
2021-09-15 17:42:12.305850 : Epoch  1, Batch   1471, Loss  0.875774, Average Loss  0.875862, Time  0.265026
2021-09-15 17:42:15.288142 : Epoch  1, Batch   1472, Loss  0.873236, Average Loss  0.875841, Time  0.265698
2021-09-15 17:42:18.285837 : Epoch  1, Batch   1473, Loss  0.869403, Average Loss  0.875803, Time  0.276943
2021-09-15 17:42:21.259803 : Epoch  1, Batch   1474, Loss  0.861454, Average Loss  0.875784, Time  0.264631
2021-09-15 17:42:24.260645 : Epoch  1, Batch   1475, Loss  0.873220, Average Loss  0.875797, Time  0.266373
2021-09-15 17:42:27.239881 : Epoch  1, Batch   1476, Loss  0.856667, Average Loss  0.875632, Time  0.265755
2021-09-15 17:42:30.230730 : Epoch  1, Batch   1477, Loss  0.852620, Average Loss  0.875528, Time  0.264963
2021-09-15 17:42:33.217007 : Epoch  1, Batch   1478, Loss  0.873899, Average Loss  0.875471, Time  0.266042
2021-09-15 17:42:36.211460 : Epoch  1, Batch   1479, Loss  0.888066, Average Loss  0.875476, Time  0.265887
2021-09-15 17:42:39.218136 : Epoch  1, Batch   1480, Loss  0.866258, Average Loss  0.875437, Time  0.267010
2021-09-15 17:42:42.228951 : Epoch  1, Batch   1481, Loss  0.880441, Average Loss  0.875366, Time  0.267918
2021-09-15 17:42:45.239397 : Epoch  1, Batch   1482, Loss  0.877688, Average Loss  0.875323, Time  0.265144
2021-09-15 17:42:48.239808 : Epoch  1, Batch   1483, Loss  0.870570, Average Loss  0.875348, Time  0.266517
2021-09-15 17:42:51.223838 : Epoch  1, Batch   1484, Loss  0.860769, Average Loss  0.875245, Time  0.265437
2021-09-15 17:42:54.201938 : Epoch  1, Batch   1485, Loss  0.853060, Average Loss  0.875146, Time  0.265111
2021-09-15 17:42:57.211597 : Epoch  1, Batch   1486, Loss  0.891952, Average Loss  0.875263, Time  0.266377
2021-09-15 17:43:00.212303 : Epoch  1, Batch   1487, Loss  0.854367, Average Loss  0.875171, Time  0.265092
2021-09-15 17:43:03.199989 : Epoch  1, Batch   1488, Loss  0.883322, Average Loss  0.875201, Time  0.265067
2021-09-15 17:43:06.198160 : Epoch  1, Batch   1489, Loss  0.876723, Average Loss  0.875243, Time  0.277835
2021-09-15 17:43:09.195052 : Epoch  1, Batch   1490, Loss  0.880084, Average Loss  0.875327, Time  0.266068
2021-09-15 17:43:12.185839 : Epoch  1, Batch   1491, Loss  0.871188, Average Loss  0.875328, Time  0.266203
2021-09-15 17:43:15.176222 : Epoch  1, Batch   1492, Loss  0.868017, Average Loss  0.875228, Time  0.265785
2021-09-15 17:43:18.152859 : Epoch  1, Batch   1493, Loss  0.864558, Average Loss  0.875136, Time  0.265051
2021-09-15 17:43:21.131512 : Epoch  1, Batch   1494, Loss  0.870483, Average Loss  0.875159, Time  0.265276
2021-09-15 17:43:24.106086 : Epoch  1, Batch   1495, Loss  0.857824, Average Loss  0.875110, Time  0.265662
2021-09-15 17:43:27.090098 : Epoch  1, Batch   1496, Loss  0.876046, Average Loss  0.875063, Time  0.265156
2021-09-15 17:43:30.081479 : Epoch  1, Batch   1497, Loss  0.870612, Average Loss  0.875017, Time  0.265386
2021-09-15 17:43:33.067006 : Epoch  1, Batch   1498, Loss  0.875277, Average Loss  0.875132, Time  0.265160
2021-09-15 17:43:36.050685 : Epoch  1, Batch   1499, Loss  0.885491, Average Loss  0.875138, Time  0.265802
2021-09-15 17:43:39.035546 : Epoch  1, Batch   1500, Loss  0.883305, Average Loss  0.875101, Time  0.266255
2021-09-15 17:48:21.157037 : CheckPoint: Validation Loss  0.00030462, Best Loss  0.00029628
2021-09-15 17:48:24.140382 : Epoch  1, Batch   1501, Loss  0.881411, Average Loss  0.875079, Time  0.267675
2021-09-15 17:48:27.172939 : Epoch  1, Batch   1502, Loss  0.889666, Average Loss  0.875169, Time  0.275430
2021-09-15 17:48:30.180142 : Epoch  1, Batch   1503, Loss  0.864805, Average Loss  0.875187, Time  0.266039
2021-09-15 17:48:33.210088 : Epoch  1, Batch   1504, Loss  0.854319, Average Loss  0.875195, Time  0.265775
2021-09-15 17:48:36.209732 : Epoch  1, Batch   1505, Loss  0.859252, Average Loss  0.875095, Time  0.265914
2021-09-15 17:48:39.197438 : Epoch  1, Batch   1506, Loss  0.866268, Average Loss  0.874982, Time  0.265063
2021-09-15 17:48:42.216810 : Epoch  1, Batch   1507, Loss  0.889440, Average Loss  0.875117, Time  0.265515
2021-09-15 17:48:45.201276 : Epoch  1, Batch   1508, Loss  0.857607, Average Loss  0.874934, Time  0.265597
2021-09-15 17:48:48.227235 : Epoch  1, Batch   1509, Loss  0.899688, Average Loss  0.875049, Time  0.266002
2021-09-15 17:48:51.250633 : Epoch  1, Batch   1510, Loss  0.874972, Average Loss  0.875043, Time  0.266592
2021-09-15 17:48:54.248788 : Epoch  1, Batch   1511, Loss  0.866705, Average Loss  0.874979, Time  0.264982
2021-09-15 17:48:57.264962 : Epoch  1, Batch   1512, Loss  0.867105, Average Loss  0.874949, Time  0.265283
2021-09-15 17:49:00.253033 : Epoch  1, Batch   1513, Loss  0.878404, Average Loss  0.875053, Time  0.266222
2021-09-15 17:49:03.257452 : Epoch  1, Batch   1514, Loss  0.898081, Average Loss  0.875121, Time  0.265401
2021-09-15 17:49:06.248027 : Epoch  1, Batch   1515, Loss  0.883877, Average Loss  0.875126, Time  0.265692
2021-09-15 17:49:09.247203 : Epoch  1, Batch   1516, Loss  0.874839, Average Loss  0.875058, Time  0.265060
2021-09-15 17:49:12.250058 : Epoch  1, Batch   1517, Loss  0.874269, Average Loss  0.875131, Time  0.277387
2021-09-15 17:49:15.269472 : Epoch  1, Batch   1518, Loss  0.868196, Average Loss  0.874967, Time  0.265428
2021-09-15 17:49:18.268753 : Epoch  1, Batch   1519, Loss  0.850639, Average Loss  0.874725, Time  0.267586
2021-09-15 17:49:21.256959 : Epoch  1, Batch   1520, Loss  0.903677, Average Loss  0.874961, Time  0.265544
2021-09-15 17:49:24.282731 : Epoch  1, Batch   1521, Loss  0.896546, Average Loss  0.875004, Time  0.266087
2021-09-15 17:49:27.286079 : Epoch  1, Batch   1522, Loss  0.896318, Average Loss  0.875145, Time  0.266341
2021-09-15 17:49:30.310487 : Epoch  1, Batch   1523, Loss  0.876992, Average Loss  0.875128, Time  0.265534
2021-09-15 17:49:33.303742 : Epoch  1, Batch   1524, Loss  0.893150, Average Loss  0.875286, Time  0.265898
2021-09-15 17:49:36.327184 : Epoch  1, Batch   1525, Loss  0.872184, Average Loss  0.875206, Time  0.265795
2021-09-15 17:49:39.305807 : Epoch  1, Batch   1526, Loss  0.869412, Average Loss  0.875176, Time  0.265608
2021-09-15 17:49:42.301721 : Epoch  1, Batch   1527, Loss  0.876528, Average Loss  0.875261, Time  0.267525
2021-09-15 17:49:45.296763 : Epoch  1, Batch   1528, Loss  0.879987, Average Loss  0.875295, Time  0.265693
2021-09-15 17:49:48.284576 : Epoch  1, Batch   1529, Loss  0.885705, Average Loss  0.875207, Time  0.264704
2021-09-15 17:49:51.270140 : Epoch  1, Batch   1530, Loss  0.865794, Average Loss  0.875246, Time  0.264847
2021-09-15 17:49:54.271295 : Epoch  1, Batch   1531, Loss  0.894629, Average Loss  0.875334, Time  0.266513
2021-09-15 17:49:57.271656 : Epoch  1, Batch   1532, Loss  0.893478, Average Loss  0.875403, Time  0.274021
2021-09-15 17:50:00.296114 : Epoch  1, Batch   1533, Loss  0.882622, Average Loss  0.875361, Time  0.265110
2021-09-15 17:50:03.318442 : Epoch  1, Batch   1534, Loss  0.856858, Average Loss  0.875240, Time  0.265325
2021-09-15 17:50:06.331796 : Epoch  1, Batch   1535, Loss  0.876083, Average Loss  0.875309, Time  0.266016
2021-09-15 17:50:09.369402 : Epoch  1, Batch   1536, Loss  0.881738, Average Loss  0.875304, Time  0.265498
2021-09-15 17:50:12.353344 : Epoch  1, Batch   1537, Loss  0.873048, Average Loss  0.875340, Time  0.264814
2021-09-15 17:50:15.328660 : Epoch  1, Batch   1538, Loss  0.867548, Average Loss  0.875390, Time  0.265128
2021-09-15 17:50:18.345644 : Epoch  1, Batch   1539, Loss  0.878543, Average Loss  0.875371, Time  0.266328
2021-09-15 17:50:21.360320 : Epoch  1, Batch   1540, Loss  0.883716, Average Loss  0.875465, Time  0.267596
2021-09-15 17:50:24.373951 : Epoch  1, Batch   1541, Loss  0.864823, Average Loss  0.875414, Time  0.265712
2021-09-15 17:50:27.363937 : Epoch  1, Batch   1542, Loss  0.850671, Average Loss  0.875225, Time  0.265646
2021-09-15 17:50:30.379881 : Epoch  1, Batch   1543, Loss  0.871542, Average Loss  0.875245, Time  0.265690
2021-09-15 17:50:33.402290 : Epoch  1, Batch   1544, Loss  0.875015, Average Loss  0.875161, Time  0.266092
2021-09-15 17:50:36.395053 : Epoch  1, Batch   1545, Loss  0.891932, Average Loss  0.875225, Time  0.265121
2021-09-15 17:50:39.377736 : Epoch  1, Batch   1546, Loss  0.884979, Average Loss  0.875170, Time  0.265550
2021-09-15 17:50:42.375554 : Epoch  1, Batch   1547, Loss  0.869470, Average Loss  0.874999, Time  0.274507
2021-09-15 17:50:45.384027 : Epoch  1, Batch   1548, Loss  0.889205, Average Loss  0.875060, Time  0.266091
2021-09-15 17:50:48.368119 : Epoch  1, Batch   1549, Loss  0.860941, Average Loss  0.874924, Time  0.265238
2021-09-15 17:50:51.349068 : Epoch  1, Batch   1550, Loss  0.849446, Average Loss  0.874688, Time  0.265737
2021-09-15 17:50:54.341433 : Epoch  1, Batch   1551, Loss  0.867435, Average Loss  0.874628, Time  0.265484
2021-09-15 17:50:57.326416 : Epoch  1, Batch   1552, Loss  0.862906, Average Loss  0.874534, Time  0.265538
2021-09-15 17:51:00.317513 : Epoch  1, Batch   1553, Loss  0.876720, Average Loss  0.874619, Time  0.266423
2021-09-15 17:51:03.297054 : Epoch  1, Batch   1554, Loss  0.863228, Average Loss  0.874573, Time  0.265359
2021-09-15 17:51:06.264866 : Epoch  1, Batch   1555, Loss  0.892115, Average Loss  0.874589, Time  0.265095
2021-09-15 17:51:09.249689 : Epoch  1, Batch   1556, Loss  0.883938, Average Loss  0.874512, Time  0.264897
2021-09-15 17:51:12.260969 : Epoch  1, Batch   1557, Loss  0.874861, Average Loss  0.874448, Time  0.266332
2021-09-15 17:51:15.255080 : Epoch  1, Batch   1558, Loss  0.865724, Average Loss  0.874354, Time  0.264988
2021-09-15 17:51:18.237802 : Epoch  1, Batch   1559, Loss  0.877609, Average Loss  0.874365, Time  0.265926
2021-09-15 17:51:21.229157 : Epoch  1, Batch   1560, Loss  0.860343, Average Loss  0.874235, Time  0.267027
2021-09-15 17:51:24.222336 : Epoch  1, Batch   1561, Loss  0.849521, Average Loss  0.874165, Time  0.265129
2021-09-15 17:51:27.203028 : Epoch  1, Batch   1562, Loss  0.876246, Average Loss  0.874269, Time  0.265900
2021-09-15 17:51:30.232460 : Epoch  1, Batch   1563, Loss  0.875172, Average Loss  0.874293, Time  0.279088
2021-09-15 17:51:33.255389 : Epoch  1, Batch   1564, Loss  0.875120, Average Loss  0.874306, Time  0.266858
2021-09-15 17:51:36.270253 : Epoch  1, Batch   1565, Loss  0.881565, Average Loss  0.874277, Time  0.265579
2021-09-15 17:51:39.265880 : Epoch  1, Batch   1566, Loss  0.865620, Average Loss  0.874240, Time  0.266422
2021-09-15 17:51:42.290654 : Epoch  1, Batch   1567, Loss  0.884477, Average Loss  0.874278, Time  0.265862
2021-09-15 17:51:45.322072 : Epoch  1, Batch   1568, Loss  0.883409, Average Loss  0.874344, Time  0.266269
2021-09-15 17:51:48.325512 : Epoch  1, Batch   1569, Loss  0.865369, Average Loss  0.874434, Time  0.267767
2021-09-15 17:51:51.307304 : Epoch  1, Batch   1570, Loss  0.870751, Average Loss  0.874379, Time  0.265247
2021-09-15 17:51:54.306476 : Epoch  1, Batch   1571, Loss  0.870870, Average Loss  0.874301, Time  0.266254
2021-09-15 17:51:57.305716 : Epoch  1, Batch   1572, Loss  0.885627, Average Loss  0.874351, Time  0.265269
2021-09-15 17:52:00.301485 : Epoch  1, Batch   1573, Loss  0.876828, Average Loss  0.874285, Time  0.264925
2021-09-15 17:52:03.287977 : Epoch  1, Batch   1574, Loss  0.854994, Average Loss  0.874109, Time  0.265544
2021-09-15 17:52:06.305133 : Epoch  1, Batch   1575, Loss  0.884759, Average Loss  0.874164, Time  0.265603
2021-09-15 17:52:09.330905 : Epoch  1, Batch   1576, Loss  0.880550, Average Loss  0.874180, Time  0.265829
2021-09-15 17:52:12.336897 : Epoch  1, Batch   1577, Loss  0.894532, Average Loss  0.874365, Time  0.265922
2021-09-15 17:52:15.348549 : Epoch  1, Batch   1578, Loss  0.865563, Average Loss  0.874248, Time  0.278989
2021-09-15 17:52:18.334836 : Epoch  1, Batch   1579, Loss  0.867388, Average Loss  0.874182, Time  0.266688
2021-09-15 17:52:21.329142 : Epoch  1, Batch   1580, Loss  0.864583, Average Loss  0.874169, Time  0.266714
2021-09-15 17:52:24.310227 : Epoch  1, Batch   1581, Loss  0.877256, Average Loss  0.874324, Time  0.265226
2021-09-15 17:52:27.292048 : Epoch  1, Batch   1582, Loss  0.871573, Average Loss  0.874171, Time  0.266523
2021-09-15 17:52:30.321083 : Epoch  1, Batch   1583, Loss  0.850657, Average Loss  0.874111, Time  0.265731
2021-09-15 17:52:33.298316 : Epoch  1, Batch   1584, Loss  0.861333, Average Loss  0.874014, Time  0.265522
2021-09-15 17:52:36.299119 : Epoch  1, Batch   1585, Loss  0.861840, Average Loss  0.873950, Time  0.266339
2021-09-15 17:52:39.288146 : Epoch  1, Batch   1586, Loss  0.844730, Average Loss  0.873866, Time  0.266754
2021-09-15 17:52:42.291401 : Epoch  1, Batch   1587, Loss  0.869873, Average Loss  0.873806, Time  0.264823
2021-09-15 17:52:45.276121 : Epoch  1, Batch   1588, Loss  0.879141, Average Loss  0.873860, Time  0.265766
2021-09-15 17:52:48.265232 : Epoch  1, Batch   1589, Loss  0.869164, Average Loss  0.873712, Time  0.265864
2021-09-15 17:52:51.250062 : Epoch  1, Batch   1590, Loss  0.867971, Average Loss  0.873711, Time  0.265218
2021-09-15 17:52:54.262883 : Epoch  1, Batch   1591, Loss  0.896075, Average Loss  0.873877, Time  0.266865
2021-09-15 17:52:57.251146 : Epoch  1, Batch   1592, Loss  0.854686, Average Loss  0.873831, Time  0.265910
2021-09-15 17:53:00.246006 : Epoch  1, Batch   1593, Loss  0.857025, Average Loss  0.873757, Time  0.274115
2021-09-15 17:53:03.226112 : Epoch  1, Batch   1594, Loss  0.877307, Average Loss  0.873789, Time  0.265443
2021-09-15 17:53:06.209068 : Epoch  1, Batch   1595, Loss  0.868230, Average Loss  0.873689, Time  0.265081
2021-09-15 17:53:09.187052 : Epoch  1, Batch   1596, Loss  0.885600, Average Loss  0.873800, Time  0.264814
2021-09-15 17:53:12.173415 : Epoch  1, Batch   1597, Loss  0.889506, Average Loss  0.873834, Time  0.265500
2021-09-15 17:53:15.150654 : Epoch  1, Batch   1598, Loss  0.868897, Average Loss  0.873860, Time  0.265221
2021-09-15 17:53:18.126124 : Epoch  1, Batch   1599, Loss  0.889786, Average Loss  0.874003, Time  0.266014
2021-09-15 17:53:21.117172 : Epoch  1, Batch   1600, Loss  0.881206, Average Loss  0.874088, Time  0.267000
2021-09-15 17:58:01.457626 : CheckPoint: Validation Loss  0.00030062, Best Loss  0.00029628
2021-09-15 17:58:04.447280 : Epoch  1, Batch   1601, Loss  0.889563, Average Loss  0.874063, Time  0.268454
2021-09-15 17:58:07.465201 : Epoch  1, Batch   1602, Loss  0.878054, Average Loss  0.874078, Time  0.265949
2021-09-15 17:58:10.471383 : Epoch  1, Batch   1603, Loss  0.882802, Average Loss  0.874202, Time  0.267082
2021-09-15 17:58:13.475036 : Epoch  1, Batch   1604, Loss  0.836590, Average Loss  0.874007, Time  0.265669
2021-09-15 17:58:16.470232 : Epoch  1, Batch   1605, Loss  0.850304, Average Loss  0.873764, Time  0.266074
2021-09-15 17:58:19.498909 : Epoch  1, Batch   1606, Loss  0.878903, Average Loss  0.873750, Time  0.279313
2021-09-15 17:58:22.501650 : Epoch  1, Batch   1607, Loss  0.860568, Average Loss  0.873580, Time  0.266714
2021-09-15 17:58:25.530347 : Epoch  1, Batch   1608, Loss  0.845836, Average Loss  0.873364, Time  0.266149
2021-09-15 17:58:28.540904 : Epoch  1, Batch   1609, Loss  0.856948, Average Loss  0.873251, Time  0.266272
2021-09-15 17:58:31.556373 : Epoch  1, Batch   1610, Loss  0.866786, Average Loss  0.873160, Time  0.265245
2021-09-15 17:58:34.531616 : Epoch  1, Batch   1611, Loss  0.870632, Average Loss  0.873243, Time  0.265145
2021-09-15 17:58:37.510408 : Epoch  1, Batch   1612, Loss  0.870682, Average Loss  0.873199, Time  0.266562
2021-09-15 17:58:40.497507 : Epoch  1, Batch   1613, Loss  0.883251, Average Loss  0.873306, Time  0.266516
2021-09-15 17:58:43.507648 : Epoch  1, Batch   1614, Loss  0.855449, Average Loss  0.873196, Time  0.265449
2021-09-15 17:58:46.527454 : Epoch  1, Batch   1615, Loss  0.881506, Average Loss  0.873212, Time  0.266173
2021-09-15 17:58:49.519141 : Epoch  1, Batch   1616, Loss  0.884861, Average Loss  0.873198, Time  0.266176
2021-09-15 17:58:52.516218 : Epoch  1, Batch   1617, Loss  0.847372, Average Loss  0.873041, Time  0.265406
2021-09-15 17:58:55.504874 : Epoch  1, Batch   1618, Loss  0.864499, Average Loss  0.873085, Time  0.265659
2021-09-15 17:58:58.502213 : Epoch  1, Batch   1619, Loss  0.890157, Average Loss  0.873112, Time  0.267326
2021-09-15 17:59:01.504258 : Epoch  1, Batch   1620, Loss  0.873368, Average Loss  0.873096, Time  0.266015
2021-09-15 17:59:04.516961 : Epoch  1, Batch   1621, Loss  0.870970, Average Loss  0.873003, Time  0.278828
2021-09-15 17:59:07.502366 : Epoch  1, Batch   1622, Loss  0.855764, Average Loss  0.872879, Time  0.265739
2021-09-15 17:59:10.510446 : Epoch  1, Batch   1623, Loss  0.867987, Average Loss  0.872866, Time  0.266469
2021-09-15 17:59:13.514006 : Epoch  1, Batch   1624, Loss  0.883881, Average Loss  0.872940, Time  0.266253
2021-09-15 17:59:16.508854 : Epoch  1, Batch   1625, Loss  0.885481, Average Loss  0.872960, Time  0.265919
2021-09-15 17:59:19.494558 : Epoch  1, Batch   1626, Loss  0.868499, Average Loss  0.872978, Time  0.265553
2021-09-15 17:59:22.492969 : Epoch  1, Batch   1627, Loss  0.848599, Average Loss  0.872884, Time  0.265463
2021-09-15 17:59:25.478087 : Epoch  1, Batch   1628, Loss  0.898732, Average Loss  0.873095, Time  0.265271
2021-09-15 17:59:28.496379 : Epoch  1, Batch   1629, Loss  0.859782, Average Loss  0.872993, Time  0.265364
2021-09-15 17:59:31.483826 : Epoch  1, Batch   1630, Loss  0.893448, Average Loss  0.873161, Time  0.265005
2021-09-15 17:59:34.507305 : Epoch  1, Batch   1631, Loss  0.873435, Average Loss  0.873095, Time  0.267029
2021-09-15 17:59:37.500568 : Epoch  1, Batch   1632, Loss  0.901202, Average Loss  0.873151, Time  0.265590
2021-09-15 17:59:40.470175 : Epoch  1, Batch   1633, Loss  0.871892, Average Loss  0.873286, Time  0.265444
2021-09-15 17:59:43.467272 : Epoch  1, Batch   1634, Loss  0.869730, Average Loss  0.873219, Time  0.266071
2021-09-15 17:59:46.456904 : Epoch  1, Batch   1635, Loss  0.885363, Average Loss  0.873296, Time  0.265312
2021-09-15 17:59:49.461163 : Epoch  1, Batch   1636, Loss  0.880485, Average Loss  0.873292, Time  0.277878
2021-09-15 17:59:52.458146 : Epoch  1, Batch   1637, Loss  0.877668, Average Loss  0.873326, Time  0.266426
2021-09-15 17:59:55.457847 : Epoch  1, Batch   1638, Loss  0.868783, Average Loss  0.873308, Time  0.266796
2021-09-15 17:59:58.459940 : Epoch  1, Batch   1639, Loss  0.858826, Average Loss  0.873186, Time  0.266835
2021-09-15 18:00:01.445113 : Epoch  1, Batch   1640, Loss  0.871570, Average Loss  0.873081, Time  0.265746
2021-09-15 18:00:04.433929 : Epoch  1, Batch   1641, Loss  0.884871, Average Loss  0.872991, Time  0.266946
2021-09-15 18:00:07.440654 : Epoch  1, Batch   1642, Loss  0.863204, Average Loss  0.872987, Time  0.265761
2021-09-15 18:00:10.471185 : Epoch  1, Batch   1643, Loss  0.889840, Average Loss  0.873106, Time  0.266150
2021-09-15 18:00:13.431217 : Epoch  1, Batch   1644, Loss  0.878901, Average Loss  0.873204, Time  0.265493
2021-09-15 18:00:16.422126 : Epoch  1, Batch   1645, Loss  0.876557, Average Loss  0.873179, Time  0.266054
2021-09-15 18:00:19.403437 : Epoch  1, Batch   1646, Loss  0.855574, Average Loss  0.873056, Time  0.264608
2021-09-15 18:00:22.414021 : Epoch  1, Batch   1647, Loss  0.879214, Average Loss  0.873093, Time  0.264951
2021-09-15 18:00:25.397618 : Epoch  1, Batch   1648, Loss  0.855690, Average Loss  0.873050, Time  0.265545
2021-09-15 18:00:28.379639 : Epoch  1, Batch   1649, Loss  0.871173, Average Loss  0.873023, Time  0.265341
2021-09-15 18:00:31.389133 : Epoch  1, Batch   1650, Loss  0.864391, Average Loss  0.872995, Time  0.266411
2021-09-15 18:00:34.423744 : Epoch  1, Batch   1651, Loss  0.874781, Average Loss  0.872998, Time  0.276799
2021-09-15 18:00:37.433504 : Epoch  1, Batch   1652, Loss  0.871530, Average Loss  0.872938, Time  0.266442
2021-09-15 18:00:40.432753 : Epoch  1, Batch   1653, Loss  0.870290, Average Loss  0.872967, Time  0.265334
2021-09-15 18:00:43.453370 : Epoch  1, Batch   1654, Loss  0.866765, Average Loss  0.872924, Time  0.266101
2021-09-15 18:00:46.462045 : Epoch  1, Batch   1655, Loss  0.881240, Average Loss  0.873068, Time  0.266409
2021-09-15 18:00:49.477691 : Epoch  1, Batch   1656, Loss  0.895688, Average Loss  0.873036, Time  0.265090
2021-09-15 18:00:52.459109 : Epoch  1, Batch   1657, Loss  0.863832, Average Loss  0.872984, Time  0.265651
2021-09-15 18:00:55.463087 : Epoch  1, Batch   1658, Loss  0.875048, Average Loss  0.872931, Time  0.266048
2021-09-15 18:00:58.454648 : Epoch  1, Batch   1659, Loss  0.865091, Average Loss  0.872960, Time  0.267109
2021-09-15 18:01:01.455156 : Epoch  1, Batch   1660, Loss  0.869628, Average Loss  0.872937, Time  0.265505
2021-09-15 18:01:04.435638 : Epoch  1, Batch   1661, Loss  0.858306, Average Loss  0.872869, Time  0.265972
2021-09-15 18:01:07.446693 : Epoch  1, Batch   1662, Loss  0.878033, Average Loss  0.872938, Time  0.266393
2021-09-15 18:01:10.463871 : Epoch  1, Batch   1663, Loss  0.894224, Average Loss  0.873038, Time  0.265934
2021-09-15 18:01:13.456995 : Epoch  1, Batch   1664, Loss  0.866468, Average Loss  0.873056, Time  0.265863
2021-09-15 18:01:16.488335 : Epoch  1, Batch   1665, Loss  0.866811, Average Loss  0.872960, Time  0.265926
2021-09-15 18:01:19.489154 : Epoch  1, Batch   1666, Loss  0.869296, Average Loss  0.872926, Time  0.279672
2021-09-15 18:01:22.493262 : Epoch  1, Batch   1667, Loss  0.874220, Average Loss  0.872964, Time  0.268091
2021-09-15 18:01:25.476148 : Epoch  1, Batch   1668, Loss  0.878682, Average Loss  0.873065, Time  0.266010
2021-09-15 18:01:28.458250 : Epoch  1, Batch   1669, Loss  0.904397, Average Loss  0.873242, Time  0.267578
2021-09-15 18:01:31.457235 : Epoch  1, Batch   1670, Loss  0.906465, Average Loss  0.873423, Time  0.265860
2021-09-15 18:01:34.445313 : Epoch  1, Batch   1671, Loss  0.890904, Average Loss  0.873499, Time  0.265054
2021-09-15 18:01:37.418105 : Epoch  1, Batch   1672, Loss  0.863465, Average Loss  0.873450, Time  0.265839
2021-09-15 18:01:40.419943 : Epoch  1, Batch   1673, Loss  0.877224, Average Loss  0.873489, Time  0.266277
2021-09-15 18:01:43.426065 : Epoch  1, Batch   1674, Loss  0.852794, Average Loss  0.873446, Time  0.266001
2021-09-15 18:01:46.431229 : Epoch  1, Batch   1675, Loss  0.867912, Average Loss  0.873419, Time  0.267499
2021-09-15 18:01:49.410312 : Epoch  1, Batch   1676, Loss  0.894694, Average Loss  0.873609, Time  0.265341
2021-09-15 18:01:52.407720 : Epoch  1, Batch   1677, Loss  0.867749, Average Loss  0.873685, Time  0.265736
2021-09-15 18:01:55.431508 : Epoch  1, Batch   1678, Loss  0.842611, Average Loss  0.873528, Time  0.266956
2021-09-15 18:01:58.409504 : Epoch  1, Batch   1679, Loss  0.882167, Average Loss  0.873499, Time  0.265244
2021-09-15 18:02:01.396945 : Epoch  1, Batch   1680, Loss  0.892287, Average Loss  0.873629, Time  0.267234
2021-09-15 18:02:04.389290 : Epoch  1, Batch   1681, Loss  0.883392, Average Loss  0.873644, Time  0.274574
2021-09-15 18:02:07.381927 : Epoch  1, Batch   1682, Loss  0.864238, Average Loss  0.873577, Time  0.266126
2021-09-15 18:02:10.362868 : Epoch  1, Batch   1683, Loss  0.883754, Average Loss  0.873643, Time  0.265292
2021-09-15 18:02:13.364086 : Epoch  1, Batch   1684, Loss  0.881821, Average Loss  0.873748, Time  0.265716
2021-09-15 18:02:16.370415 : Epoch  1, Batch   1685, Loss  0.872407, Average Loss  0.873845, Time  0.266372
2021-09-15 18:02:19.377996 : Epoch  1, Batch   1686, Loss  0.863352, Average Loss  0.873702, Time  0.266948
2021-09-15 18:02:22.407891 : Epoch  1, Batch   1687, Loss  0.885366, Average Loss  0.873857, Time  0.265381
2021-09-15 18:02:25.382774 : Epoch  1, Batch   1688, Loss  0.872910, Average Loss  0.873804, Time  0.264728
2021-09-15 18:02:28.363554 : Epoch  1, Batch   1689, Loss  0.890785, Average Loss  0.873875, Time  0.265509
2021-09-15 18:02:31.395984 : Epoch  1, Batch   1690, Loss  0.870271, Average Loss  0.873826, Time  0.265846
2021-09-15 18:02:34.405883 : Epoch  1, Batch   1691, Loss  0.854418, Average Loss  0.873742, Time  0.266004
2021-09-15 18:02:37.394147 : Epoch  1, Batch   1692, Loss  0.872660, Average Loss  0.873765, Time  0.264872
2021-09-15 18:02:40.391980 : Epoch  1, Batch   1693, Loss  0.869140, Average Loss  0.873788, Time  0.265307
2021-09-15 18:02:43.405437 : Epoch  1, Batch   1694, Loss  0.870500, Average Loss  0.873788, Time  0.265600
2021-09-15 18:02:46.428488 : Epoch  1, Batch   1695, Loss  0.862162, Average Loss  0.873810, Time  0.265589
2021-09-15 18:02:49.417942 : Epoch  1, Batch   1696, Loss  0.894069, Average Loss  0.873900, Time  0.276814
2021-09-15 18:02:52.388560 : Epoch  1, Batch   1697, Loss  0.890553, Average Loss  0.874000, Time  0.266151
2021-09-15 18:02:55.361420 : Epoch  1, Batch   1698, Loss  0.885637, Average Loss  0.874051, Time  0.265663
2021-09-15 18:02:58.353006 : Epoch  1, Batch   1699, Loss  0.868836, Average Loss  0.873968, Time  0.266311
2021-09-15 18:03:01.339935 : Epoch  1, Batch   1700, Loss  0.871780, Average Loss  0.873910, Time  0.267509
2021-09-15 18:07:39.751596 : CheckPoint: Validation Loss  0.00030413, Best Loss  0.00029628
2021-09-15 18:07:42.744385 : Epoch  1, Batch   1701, Loss  0.866693, Average Loss  0.873837, Time  0.267519
2021-09-15 18:07:45.747067 : Epoch  1, Batch   1702, Loss  0.888530, Average Loss  0.873831, Time  0.264804
2021-09-15 18:07:48.726679 : Epoch  1, Batch   1703, Loss  0.871665, Average Loss  0.873865, Time  0.265183
2021-09-15 18:07:51.709638 : Epoch  1, Batch   1704, Loss  0.878542, Average Loss  0.873987, Time  0.265366
2021-09-15 18:07:54.697451 : Epoch  1, Batch   1705, Loss  0.876784, Average Loss  0.874074, Time  0.265458
2021-09-15 18:07:57.671918 : Epoch  1, Batch   1706, Loss  0.869099, Average Loss  0.874088, Time  0.265177
2021-09-15 18:08:00.667230 : Epoch  1, Batch   1707, Loss  0.872000, Average Loss  0.874001, Time  0.264965
2021-09-15 18:08:03.643897 : Epoch  1, Batch   1708, Loss  0.886028, Average Loss  0.874143, Time  0.266810
2021-09-15 18:08:06.646312 : Epoch  1, Batch   1709, Loss  0.872753, Average Loss  0.874009, Time  0.265124
2021-09-15 18:08:09.618951 : Epoch  1, Batch   1710, Loss  0.890756, Average Loss  0.874088, Time  0.264880
2021-09-15 18:08:12.604989 : Epoch  1, Batch   1711, Loss  0.874758, Average Loss  0.874128, Time  0.265032
2021-09-15 18:08:15.598659 : Epoch  1, Batch   1712, Loss  0.864972, Average Loss  0.874117, Time  0.264104
2021-09-15 18:08:18.565438 : Epoch  1, Batch   1713, Loss  0.866425, Average Loss  0.874057, Time  0.273947
2021-09-15 18:08:21.545496 : Epoch  1, Batch   1714, Loss  0.845886, Average Loss  0.873796, Time  0.265385
2021-09-15 18:08:24.526124 : Epoch  1, Batch   1715, Loss  0.869133, Average Loss  0.873723, Time  0.265853
2021-09-15 18:08:27.506915 : Epoch  1, Batch   1716, Loss  0.903801, Average Loss  0.873867, Time  0.265346
2021-09-15 18:08:30.502496 : Epoch  1, Batch   1717, Loss  0.875508, Average Loss  0.873874, Time  0.264978
2021-09-15 18:08:33.488713 : Epoch  1, Batch   1718, Loss  0.866838, Average Loss  0.873867, Time  0.267265
2021-09-15 18:08:36.510980 : Epoch  1, Batch   1719, Loss  0.863509, Average Loss  0.873931, Time  0.267136
2021-09-15 18:08:39.523419 : Epoch  1, Batch   1720, Loss  0.864819, Average Loss  0.873737, Time  0.265639
2021-09-15 18:08:42.522724 : Epoch  1, Batch   1721, Loss  0.882037, Average Loss  0.873664, Time  0.266529
2021-09-15 18:08:45.533262 : Epoch  1, Batch   1722, Loss  0.879181, Average Loss  0.873579, Time  0.266215
2021-09-15 18:08:48.534552 : Epoch  1, Batch   1723, Loss  0.866429, Average Loss  0.873526, Time  0.265666
2021-09-15 18:08:51.517016 : Epoch  1, Batch   1724, Loss  0.889866, Average Loss  0.873509, Time  0.265349
2021-09-15 18:08:54.499530 : Epoch  1, Batch   1725, Loss  0.864344, Average Loss  0.873470, Time  0.266913
2021-09-15 18:08:57.473234 : Epoch  1, Batch   1726, Loss  0.879782, Average Loss  0.873522, Time  0.265326
2021-09-15 18:09:00.458511 : Epoch  1, Batch   1727, Loss  0.882060, Average Loss  0.873550, Time  0.266808
2021-09-15 18:09:03.486175 : Epoch  1, Batch   1728, Loss  0.882396, Average Loss  0.873562, Time  0.277153
2021-09-15 18:09:06.478175 : Epoch  1, Batch   1729, Loss  0.852134, Average Loss  0.873394, Time  0.266006
2021-09-15 18:09:09.428094 : Epoch  1, Batch   1730, Loss  0.863040, Average Loss  0.873380, Time  0.264058
2021-09-15 18:09:12.403114 : Epoch  1, Batch   1731, Loss  0.866099, Average Loss  0.873237, Time  0.265608
2021-09-15 18:09:15.391046 : Epoch  1, Batch   1732, Loss  0.881917, Average Loss  0.873180, Time  0.264923
2021-09-15 18:09:18.383867 : Epoch  1, Batch   1733, Loss  0.873674, Average Loss  0.873135, Time  0.265285
2021-09-15 18:09:21.356342 : Epoch  1, Batch   1734, Loss  0.878789, Average Loss  0.873245, Time  0.265191
2021-09-15 18:09:24.363958 : Epoch  1, Batch   1735, Loss  0.844767, Average Loss  0.873088, Time  0.265187
2021-09-15 18:09:27.334298 : Epoch  1, Batch   1736, Loss  0.876377, Average Loss  0.873061, Time  0.265063
2021-09-15 18:09:30.318443 : Epoch  1, Batch   1737, Loss  0.887446, Average Loss  0.873133, Time  0.266042
2021-09-15 18:09:33.322342 : Epoch  1, Batch   1738, Loss  0.868246, Average Loss  0.873137, Time  0.267224
2021-09-15 18:09:36.306677 : Epoch  1, Batch   1739, Loss  0.866934, Average Loss  0.873079, Time  0.265607
2021-09-15 18:09:39.320842 : Epoch  1, Batch   1740, Loss  0.882172, Average Loss  0.873071, Time  0.265574
2021-09-15 18:09:42.322237 : Epoch  1, Batch   1741, Loss  0.886845, Average Loss  0.873181, Time  0.265809
2021-09-15 18:09:45.302845 : Epoch  1, Batch   1742, Loss  0.876990, Average Loss  0.873313, Time  0.265577
2021-09-15 18:09:48.285965 : Epoch  1, Batch   1743, Loss  0.884664, Average Loss  0.873378, Time  0.265227
2021-09-15 18:09:51.263867 : Epoch  1, Batch   1744, Loss  0.886850, Average Loss  0.873437, Time  0.277284
2021-09-15 18:09:54.244673 : Epoch  1, Batch   1745, Loss  0.859783, Average Loss  0.873277, Time  0.266399
2021-09-15 18:09:57.214659 : Epoch  1, Batch   1746, Loss  0.864184, Average Loss  0.873173, Time  0.264209
2021-09-15 18:10:00.196878 : Epoch  1, Batch   1747, Loss  0.881291, Average Loss  0.873232, Time  0.267445
2021-09-15 18:10:03.172540 : Epoch  1, Batch   1748, Loss  0.880135, Average Loss  0.873186, Time  0.266340
2021-09-15 18:10:06.169780 : Epoch  1, Batch   1749, Loss  0.884359, Average Loss  0.873304, Time  0.266589
2021-09-15 18:10:09.181674 : Epoch  1, Batch   1750, Loss  0.881508, Average Loss  0.873464, Time  0.266245
2021-09-15 18:10:12.192967 : Epoch  1, Batch   1751, Loss  0.858010, Average Loss  0.873417, Time  0.264796
2021-09-15 18:10:15.181122 : Epoch  1, Batch   1752, Loss  0.885695, Average Loss  0.873531, Time  0.266401
2021-09-15 18:10:18.208178 : Epoch  1, Batch   1753, Loss  0.898446, Average Loss  0.873639, Time  0.265660
2021-09-15 18:10:21.226086 : Epoch  1, Batch   1754, Loss  0.871811, Average Loss  0.873682, Time  0.266356
2021-09-15 18:10:24.224830 : Epoch  1, Batch   1755, Loss  0.871418, Average Loss  0.873579, Time  0.265024
2021-09-15 18:10:27.189261 : Epoch  1, Batch   1756, Loss  0.862417, Average Loss  0.873471, Time  0.265340
2021-09-15 18:10:30.165469 : Epoch  1, Batch   1757, Loss  0.882173, Average Loss  0.873508, Time  0.265787
2021-09-15 18:10:33.142792 : Epoch  1, Batch   1758, Loss  0.868863, Average Loss  0.873523, Time  0.265566
2021-09-15 18:10:36.134344 : Epoch  1, Batch   1759, Loss  0.872482, Average Loss  0.873498, Time  0.276219
2021-09-15 18:10:39.119798 : Epoch  1, Batch   1760, Loss  0.867270, Average Loss  0.873532, Time  0.265972
2021-09-15 18:10:42.110974 : Epoch  1, Batch   1761, Loss  0.879429, Average Loss  0.873682, Time  0.266783
2021-09-15 18:10:45.120226 : Epoch  1, Batch   1762, Loss  0.864008, Average Loss  0.873621, Time  0.265757
2021-09-15 18:10:48.135199 : Epoch  1, Batch   1763, Loss  0.867653, Average Loss  0.873583, Time  0.266727
2021-09-15 18:10:51.127398 : Epoch  1, Batch   1764, Loss  0.868072, Average Loss  0.873548, Time  0.265793
2021-09-15 18:10:54.133214 : Epoch  1, Batch   1765, Loss  0.866663, Average Loss  0.873473, Time  0.265435
2021-09-15 18:10:57.120987 : Epoch  1, Batch   1766, Loss  0.882464, Average Loss  0.873558, Time  0.265640
2021-09-15 18:11:00.097635 : Epoch  1, Batch   1767, Loss  0.878365, Average Loss  0.873527, Time  0.265255
2021-09-15 18:11:03.081942 : Epoch  1, Batch   1768, Loss  0.874006, Average Loss  0.873480, Time  0.265769
2021-09-15 18:11:06.063263 : Epoch  1, Batch   1769, Loss  0.856066, Average Loss  0.873434, Time  0.265860
2021-09-15 18:11:09.072043 : Epoch  1, Batch   1770, Loss  0.870525, Average Loss  0.873432, Time  0.264931
2021-09-15 18:11:12.050534 : Epoch  1, Batch   1771, Loss  0.870184, Average Loss  0.873429, Time  0.266463
2021-09-15 18:11:15.064242 : Epoch  1, Batch   1772, Loss  0.863074, Average Loss  0.873316, Time  0.265910
2021-09-15 18:11:18.036953 : Epoch  1, Batch   1773, Loss  0.876194, Average Loss  0.873313, Time  0.265255
2021-09-15 18:11:21.037084 : Epoch  1, Batch   1774, Loss  0.866267, Average Loss  0.873369, Time  0.277303
2021-09-15 18:11:24.029185 : Epoch  1, Batch   1775, Loss  0.879041, Average Loss  0.873341, Time  0.265845
2021-09-15 18:11:27.004346 : Epoch  1, Batch   1776, Loss  0.866299, Average Loss  0.873270, Time  0.265572
2021-09-15 18:11:30.024832 : Epoch  1, Batch   1777, Loss  0.867883, Average Loss  0.873136, Time  0.265189
2021-09-15 18:11:33.036712 : Epoch  1, Batch   1778, Loss  0.880380, Average Loss  0.873210, Time  0.265653
2021-09-15 18:11:36.019078 : Epoch  1, Batch   1779, Loss  0.881027, Average Loss  0.873279, Time  0.269122
2021-09-15 18:11:39.011774 : Epoch  1, Batch   1780, Loss  0.888612, Average Loss  0.873399, Time  0.265708
2021-09-15 18:11:42.012624 : Epoch  1, Batch   1781, Loss  0.860941, Average Loss  0.873317, Time  0.267055
2021-09-15 18:11:45.019527 : Epoch  1, Batch   1782, Loss  0.902095, Average Loss  0.873470, Time  0.266102
2021-09-15 18:11:48.005716 : Epoch  1, Batch   1783, Loss  0.889600, Average Loss  0.873664, Time  0.266332
2021-09-15 18:11:50.978449 : Epoch  1, Batch   1784, Loss  0.867777, Average Loss  0.873697, Time  0.265041
2021-09-15 18:11:53.939083 : Epoch  1, Batch   1785, Loss  0.887525, Average Loss  0.873825, Time  0.265156
2021-09-15 18:11:56.911753 : Epoch  1, Batch   1786, Loss  0.872468, Average Loss  0.873964, Time  0.265226
2021-09-15 18:11:59.897345 : Epoch  1, Batch   1787, Loss  0.856909, Average Loss  0.873899, Time  0.265356
2021-09-15 18:12:02.875859 : Epoch  1, Batch   1788, Loss  0.862143, Average Loss  0.873814, Time  0.265731
2021-09-15 18:12:05.864961 : Epoch  1, Batch   1789, Loss  0.872908, Average Loss  0.873833, Time  0.274633
2021-09-15 18:12:08.838252 : Epoch  1, Batch   1790, Loss  0.886412, Average Loss  0.873925, Time  0.265531
2021-09-15 18:12:11.805484 : Epoch  1, Batch   1791, Loss  0.855462, Average Loss  0.873722, Time  0.265232
2021-09-15 18:12:14.827820 : Epoch  1, Batch   1792, Loss  0.850813, Average Loss  0.873703, Time  0.265391
2021-09-15 18:12:17.798430 : Epoch  1, Batch   1793, Loss  0.867861, Average Loss  0.873757, Time  0.265007
2021-09-15 18:12:20.771823 : Epoch  1, Batch   1794, Loss  0.876385, Average Loss  0.873752, Time  0.265294
2021-09-15 18:12:23.762158 : Epoch  1, Batch   1795, Loss  0.873817, Average Loss  0.873780, Time  0.265011
2021-09-15 18:12:26.736027 : Epoch  1, Batch   1796, Loss  0.899414, Average Loss  0.873849, Time  0.265115
2021-09-15 18:12:29.743113 : Epoch  1, Batch   1797, Loss  0.861512, Average Loss  0.873709, Time  0.265648
2021-09-15 18:12:32.718191 : Epoch  1, Batch   1798, Loss  0.884255, Average Loss  0.873786, Time  0.265662
2021-09-15 18:12:35.710676 : Epoch  1, Batch   1799, Loss  0.841180, Average Loss  0.873543, Time  0.266297
2021-09-15 18:12:38.703199 : Epoch  1, Batch   1800, Loss  0.889684, Average Loss  0.873585, Time  0.265673
2021-09-15 18:17:16.554352 : CheckPoint: Validation Loss  0.00031106, Best Loss  0.00029628
2021-09-15 18:17:19.561214 : Epoch  1, Batch   1801, Loss  0.895610, Average Loss  0.873615, Time  0.267896
2021-09-15 18:17:22.557863 : Epoch  1, Batch   1802, Loss  0.873151, Average Loss  0.873591, Time  0.266473
2021-09-15 18:17:25.555765 : Epoch  1, Batch   1803, Loss  0.869846, Average Loss  0.873526, Time  0.265136
2021-09-15 18:17:28.545903 : Epoch  1, Batch   1804, Loss  0.874950, Average Loss  0.873718, Time  0.265784
2021-09-15 18:17:31.551321 : Epoch  1, Batch   1805, Loss  0.865514, Average Loss  0.873794, Time  0.277303
2021-09-15 18:17:34.574986 : Epoch  1, Batch   1806, Loss  0.874627, Average Loss  0.873773, Time  0.266140
2021-09-15 18:17:37.563514 : Epoch  1, Batch   1807, Loss  0.864445, Average Loss  0.873792, Time  0.266191
2021-09-15 18:17:40.588025 : Epoch  1, Batch   1808, Loss  0.858534, Average Loss  0.873856, Time  0.266649
2021-09-15 18:17:43.574570 : Epoch  1, Batch   1809, Loss  0.883217, Average Loss  0.873987, Time  0.265328
2021-09-15 18:17:46.580949 : Epoch  1, Batch   1810, Loss  0.862973, Average Loss  0.873968, Time  0.264556
2021-09-15 18:17:49.565432 : Epoch  1, Batch   1811, Loss  0.882169, Average Loss  0.874026, Time  0.265503
2021-09-15 18:17:52.547881 : Epoch  1, Batch   1812, Loss  0.906596, Average Loss  0.874205, Time  0.265182
2021-09-15 18:17:55.557248 : Epoch  1, Batch   1813, Loss  0.871523, Average Loss  0.874146, Time  0.265483
2021-09-15 18:17:58.577696 : Epoch  1, Batch   1814, Loss  0.871151, Average Loss  0.874225, Time  0.265683
2021-09-15 18:18:01.581505 : Epoch  1, Batch   1815, Loss  0.893223, Average Loss  0.874284, Time  0.264545
2021-09-15 18:18:04.571052 : Epoch  1, Batch   1816, Loss  0.883913, Average Loss  0.874279, Time  0.265640
2021-09-15 18:18:07.561228 : Epoch  1, Batch   1817, Loss  0.862886, Average Loss  0.874356, Time  0.267138
2021-09-15 18:18:10.559547 : Epoch  1, Batch   1818, Loss  0.851943, Average Loss  0.874294, Time  0.265616
2021-09-15 18:18:13.555674 : Epoch  1, Batch   1819, Loss  0.866975, Average Loss  0.874178, Time  0.265832
2021-09-15 18:18:16.548021 : Epoch  1, Batch   1820, Loss  0.883654, Average Loss  0.874229, Time  0.274847
2021-09-15 18:18:19.545529 : Epoch  1, Batch   1821, Loss  0.883288, Average Loss  0.874291, Time  0.266452
2021-09-15 18:18:22.567485 : Epoch  1, Batch   1822, Loss  0.891379, Average Loss  0.874469, Time  0.265296
2021-09-15 18:18:25.567759 : Epoch  1, Batch   1823, Loss  0.887436, Average Loss  0.874566, Time  0.265593
2021-09-15 18:18:28.557992 : Epoch  1, Batch   1824, Loss  0.899442, Average Loss  0.874644, Time  0.267060
2021-09-15 18:18:31.548636 : Epoch  1, Batch   1825, Loss  0.858218, Average Loss  0.874508, Time  0.266439
2021-09-15 18:18:34.526255 : Epoch  1, Batch   1826, Loss  0.877914, Average Loss  0.874555, Time  0.264839
2021-09-15 18:18:37.507417 : Epoch  1, Batch   1827, Loss  0.871318, Average Loss  0.874668, Time  0.265468
2021-09-15 18:18:40.488641 : Epoch  1, Batch   1828, Loss  0.867220, Average Loss  0.874511, Time  0.266447
2021-09-15 18:18:43.509500 : Epoch  1, Batch   1829, Loss  0.889156, Average Loss  0.874657, Time  0.264933
2021-09-15 18:18:46.484881 : Epoch  1, Batch   1830, Loss  0.879634, Average Loss  0.874588, Time  0.265994
2021-09-15 18:18:49.510492 : Epoch  1, Batch   1831, Loss  0.854518, Average Loss  0.874494, Time  0.265785
2021-09-15 18:18:52.491011 : Epoch  1, Batch   1832, Loss  0.873849, Average Loss  0.874357, Time  0.264974
2021-09-15 18:18:55.461116 : Epoch  1, Batch   1833, Loss  0.885312, Average Loss  0.874424, Time  0.264228
2021-09-15 18:18:58.438890 : Epoch  1, Batch   1834, Loss  0.868224, Average Loss  0.874417, Time  0.266064
2021-09-15 18:19:01.446845 : Epoch  1, Batch   1835, Loss  0.859636, Average Loss  0.874288, Time  0.278150
2021-09-15 18:19:04.460103 : Epoch  1, Batch   1836, Loss  0.871226, Average Loss  0.874242, Time  0.267052
2021-09-15 18:19:07.469181 : Epoch  1, Batch   1837, Loss  0.882534, Average Loss  0.874266, Time  0.266149
2021-09-15 18:19:10.458559 : Epoch  1, Batch   1838, Loss  0.895619, Average Loss  0.874400, Time  0.266619
2021-09-15 18:19:13.469003 : Epoch  1, Batch   1839, Loss  0.863581, Average Loss  0.874424, Time  0.266505
2021-09-15 18:19:16.447529 : Epoch  1, Batch   1840, Loss  0.880049, Average Loss  0.874466, Time  0.265842
2021-09-15 18:19:19.430465 : Epoch  1, Batch   1841, Loss  0.873297, Average Loss  0.874409, Time  0.265160
2021-09-15 18:19:22.413917 : Epoch  1, Batch   1842, Loss  0.876201, Average Loss  0.874474, Time  0.267072
2021-09-15 18:19:25.419317 : Epoch  1, Batch   1843, Loss  0.880642, Average Loss  0.874428, Time  0.266514
2021-09-15 18:19:28.398226 : Epoch  1, Batch   1844, Loss  0.864193, Average Loss  0.874354, Time  0.265054
2021-09-15 18:19:31.367406 : Epoch  1, Batch   1845, Loss  0.871336, Average Loss  0.874328, Time  0.264991
2021-09-15 18:19:34.338438 : Epoch  1, Batch   1846, Loss  0.859624, Average Loss  0.874348, Time  0.264812
2021-09-15 18:19:37.339654 : Epoch  1, Batch   1847, Loss  0.870013, Average Loss  0.874302, Time  0.266353
2021-09-15 18:19:40.348741 : Epoch  1, Batch   1848, Loss  0.876354, Average Loss  0.874405, Time  0.265754
2021-09-15 18:19:43.363728 : Epoch  1, Batch   1849, Loss  0.864311, Average Loss  0.874371, Time  0.265975
2021-09-15 18:19:46.358145 : Epoch  1, Batch   1850, Loss  0.867103, Average Loss  0.874385, Time  0.265105
2021-09-15 18:19:49.356768 : Epoch  1, Batch   1851, Loss  0.876446, Average Loss  0.874393, Time  0.279604
2021-09-15 18:19:52.373941 : Epoch  1, Batch   1852, Loss  0.900330, Average Loss  0.874537, Time  0.266332
2021-09-15 18:19:55.366870 : Epoch  1, Batch   1853, Loss  0.887126, Average Loss  0.874621, Time  0.265139
2021-09-15 18:19:58.347775 : Epoch  1, Batch   1854, Loss  0.874527, Average Loss  0.874660, Time  0.265292
2021-09-15 18:20:01.321936 : Epoch  1, Batch   1855, Loss  0.848234, Average Loss  0.874495, Time  0.264964
2021-09-15 18:20:04.295447 : Epoch  1, Batch   1856, Loss  0.886747, Average Loss  0.874450, Time  0.265802
2021-09-15 18:20:04.322783 : Saving Model after 1-th Epoch.
2021-09-15 18:20:05.204538 : Epoch Finished.
2021-09-15 18:20:13.268430 : Batch Shuffled
2021-09-15 18:20:16.237214 : Epoch  2, Batch      1, Loss  0.875794, Average Loss  0.874510, Time  0.265167
2021-09-15 18:20:19.205428 : Epoch  2, Batch      2, Loss  0.863672, Average Loss  0.874453, Time  0.266981
2021-09-15 18:20:22.176755 : Epoch  2, Batch      3, Loss  0.874092, Average Loss  0.874498, Time  0.265715
2021-09-15 18:20:25.176130 : Epoch  2, Batch      4, Loss  0.883744, Average Loss  0.874569, Time  0.265783
2021-09-15 18:20:28.140853 : Epoch  2, Batch      5, Loss  0.872811, Average Loss  0.874641, Time  0.265159
2021-09-15 18:20:31.107621 : Epoch  2, Batch      6, Loss  0.873730, Average Loss  0.874620, Time  0.266187
2021-09-15 18:20:34.100142 : Epoch  2, Batch      7, Loss  0.858590, Average Loss  0.874442, Time  0.274151
2021-09-15 18:20:37.111128 : Epoch  2, Batch      8, Loss  0.867934, Average Loss  0.874449, Time  0.265531
2021-09-15 18:20:40.077692 : Epoch  2, Batch      9, Loss  0.861879, Average Loss  0.874424, Time  0.265119
2021-09-15 18:20:43.044867 : Epoch  2, Batch     10, Loss  0.885915, Average Loss  0.874507, Time  0.264696
2021-09-15 18:20:46.019354 : Epoch  2, Batch     11, Loss  0.876834, Average Loss  0.874520, Time  0.266300
2021-09-15 18:20:49.001939 : Epoch  2, Batch     12, Loss  0.883676, Average Loss  0.874545, Time  0.266533
2021-09-15 18:20:51.992041 : Epoch  2, Batch     13, Loss  0.864163, Average Loss  0.874344, Time  0.265195
2021-09-15 18:20:54.983811 : Epoch  2, Batch     14, Loss  0.884368, Average Loss  0.874234, Time  0.265025
2021-09-15 18:20:57.947222 : Epoch  2, Batch     15, Loss  0.888982, Average Loss  0.874224, Time  0.265242
2021-09-15 18:21:00.913883 : Epoch  2, Batch     16, Loss  0.858293, Average Loss  0.874198, Time  0.265198
2021-09-15 18:21:03.891953 : Epoch  2, Batch     17, Loss  0.873054, Average Loss  0.874177, Time  0.264252
2021-09-15 18:21:06.876947 : Epoch  2, Batch     18, Loss  0.876359, Average Loss  0.874295, Time  0.267879
2021-09-15 18:21:09.882942 : Epoch  2, Batch     19, Loss  0.851492, Average Loss  0.874213, Time  0.266274
2021-09-15 18:21:12.888286 : Epoch  2, Batch     20, Loss  0.882600, Average Loss  0.874153, Time  0.267220
2021-09-15 18:21:15.887484 : Epoch  2, Batch     21, Loss  0.871979, Average Loss  0.874174, Time  0.265066
2021-09-15 18:21:18.874406 : Epoch  2, Batch     22, Loss  0.887560, Average Loss  0.874399, Time  0.274900
2021-09-15 18:21:21.876108 : Epoch  2, Batch     23, Loss  0.865734, Average Loss  0.874316, Time  0.266713
2021-09-15 18:21:24.880884 : Epoch  2, Batch     24, Loss  0.844144, Average Loss  0.874076, Time  0.266997
2021-09-15 18:21:27.896561 : Epoch  2, Batch     25, Loss  0.854090, Average Loss  0.873929, Time  0.265457
2021-09-15 18:21:30.873983 : Epoch  2, Batch     26, Loss  0.875088, Average Loss  0.873983, Time  0.264719
2021-09-15 18:21:33.858059 : Epoch  2, Batch     27, Loss  0.878436, Average Loss  0.873957, Time  0.266723
2021-09-15 18:21:36.869717 : Epoch  2, Batch     28, Loss  0.861160, Average Loss  0.873854, Time  0.265333
2021-09-15 18:21:39.839055 : Epoch  2, Batch     29, Loss  0.860745, Average Loss  0.873795, Time  0.265440
2021-09-15 18:21:42.809494 : Epoch  2, Batch     30, Loss  0.846349, Average Loss  0.873710, Time  0.265209
2021-09-15 18:21:45.785516 : Epoch  2, Batch     31, Loss  0.863198, Average Loss  0.873599, Time  0.265184
2021-09-15 18:21:48.776964 : Epoch  2, Batch     32, Loss  0.874854, Average Loss  0.873609, Time  0.265555
2021-09-15 18:21:51.753656 : Epoch  2, Batch     33, Loss  0.876863, Average Loss  0.873539, Time  0.265303
2021-09-15 18:21:54.756713 : Epoch  2, Batch     34, Loss  0.880701, Average Loss  0.873592, Time  0.266105
2021-09-15 18:21:57.734167 : Epoch  2, Batch     35, Loss  0.877113, Average Loss  0.873705, Time  0.265105
2021-09-15 18:22:00.745465 : Epoch  2, Batch     36, Loss  0.884310, Average Loss  0.873763, Time  0.266855
2021-09-15 18:22:03.728924 : Epoch  2, Batch     37, Loss  0.855636, Average Loss  0.873696, Time  0.279076
2021-09-15 18:22:06.706640 : Epoch  2, Batch     38, Loss  0.871473, Average Loss  0.873701, Time  0.266288
2021-09-15 18:22:09.685269 : Epoch  2, Batch     39, Loss  0.887472, Average Loss  0.873827, Time  0.267187
2021-09-15 18:22:12.664576 : Epoch  2, Batch     40, Loss  0.869973, Average Loss  0.873707, Time  0.265242
2021-09-15 18:22:15.672404 : Epoch  2, Batch     41, Loss  0.857258, Average Loss  0.873540, Time  0.267514
2021-09-15 18:22:18.650980 : Epoch  2, Batch     42, Loss  0.870323, Average Loss  0.873464, Time  0.266306
2021-09-15 18:22:21.627266 : Epoch  2, Batch     43, Loss  0.846517, Average Loss  0.873352, Time  0.265702
2021-09-15 18:22:24.596159 : Epoch  2, Batch     44, Loss  0.862164, Average Loss  0.873304, Time  0.265572
2021-09-15 18:27:02.926423 : CheckPoint: Validation Loss  0.00030709, Best Loss  0.00029628
2021-09-15 18:27:05.905720 : Epoch  2, Batch     45, Loss  0.870485, Average Loss  0.873323, Time  0.267075
2021-09-15 18:27:08.888687 : Epoch  2, Batch     46, Loss  0.880515, Average Loss  0.873283, Time  0.265999
2021-09-15 18:27:11.895469 : Epoch  2, Batch     47, Loss  0.860825, Average Loss  0.873229, Time  0.265792
2021-09-15 18:27:14.896499 : Epoch  2, Batch     48, Loss  0.876207, Average Loss  0.873217, Time  0.264016
2021-09-15 18:27:17.787591 : Epoch  2, Batch     49, Loss  0.883494, Average Loss  0.873251, Time  0.265693
2021-09-15 18:27:20.774468 : Epoch  2, Batch     50, Loss  0.867780, Average Loss  0.873244, Time  0.264957
2021-09-15 18:27:23.744941 : Epoch  2, Batch     51, Loss  0.882210, Average Loss  0.873295, Time  0.265327
2021-09-15 18:27:26.731548 : Epoch  2, Batch     52, Loss  0.879678, Average Loss  0.873263, Time  0.264816
2021-09-15 18:27:29.721188 : Epoch  2, Batch     53, Loss  0.893853, Average Loss  0.873369, Time  0.274709
2021-09-15 18:27:32.698174 : Epoch  2, Batch     54, Loss  0.875730, Average Loss  0.873294, Time  0.265996
2021-09-15 18:27:35.661686 : Epoch  2, Batch     55, Loss  0.895091, Average Loss  0.873395, Time  0.266302
2021-09-15 18:27:38.654448 : Epoch  2, Batch     56, Loss  0.888800, Average Loss  0.873514, Time  0.265984
2021-09-15 18:27:41.619218 : Epoch  2, Batch     57, Loss  0.854592, Average Loss  0.873455, Time  0.264187
2021-09-15 18:27:44.606924 : Epoch  2, Batch     58, Loss  0.850652, Average Loss  0.873479, Time  0.267228
2021-09-15 18:27:47.590426 : Epoch  2, Batch     59, Loss  0.899242, Average Loss  0.873630, Time  0.266136
2021-09-15 18:27:50.575860 : Epoch  2, Batch     60, Loss  0.865173, Average Loss  0.873437, Time  0.265363
2021-09-15 18:27:53.559562 : Epoch  2, Batch     61, Loss  0.853054, Average Loss  0.873324, Time  0.266377
2021-09-15 18:27:56.536963 : Epoch  2, Batch     62, Loss  0.872745, Average Loss  0.873354, Time  0.265615
2021-09-15 18:27:59.518614 : Epoch  2, Batch     63, Loss  0.882738, Average Loss  0.873450, Time  0.265775
2021-09-15 18:28:02.517458 : Epoch  2, Batch     64, Loss  0.875419, Average Loss  0.873503, Time  0.265686
2021-09-15 18:28:05.525319 : Epoch  2, Batch     65, Loss  0.872776, Average Loss  0.873457, Time  0.266198
2021-09-15 18:28:08.503005 : Epoch  2, Batch     66, Loss  0.883293, Average Loss  0.873477, Time  0.265109
2021-09-15 18:28:11.477690 : Epoch  2, Batch     67, Loss  0.893726, Average Loss  0.873614, Time  0.265455
2021-09-15 18:28:14.482579 : Epoch  2, Batch     68, Loss  0.880546, Average Loss  0.873567, Time  0.278145
2021-09-15 18:28:17.466090 : Epoch  2, Batch     69, Loss  0.882923, Average Loss  0.873660, Time  0.264538
2021-09-15 18:28:20.440393 : Epoch  2, Batch     70, Loss  0.868910, Average Loss  0.873606, Time  0.265370
2021-09-15 18:28:23.416383 : Epoch  2, Batch     71, Loss  0.888010, Average Loss  0.873635, Time  0.265089
2021-09-15 18:28:26.385202 : Epoch  2, Batch     72, Loss  0.886874, Average Loss  0.873658, Time  0.264923
2021-09-15 18:28:29.353827 : Epoch  2, Batch     73, Loss  0.890169, Average Loss  0.873848, Time  0.265418
2021-09-15 18:28:32.328474 : Epoch  2, Batch     74, Loss  0.870490, Average Loss  0.873885, Time  0.265337
2021-09-15 18:28:35.309901 : Epoch  2, Batch     75, Loss  0.895210, Average Loss  0.874031, Time  0.265234
2021-09-15 18:28:38.289033 : Epoch  2, Batch     76, Loss  0.877372, Average Loss  0.874008, Time  0.265518
2021-09-15 18:28:41.286219 : Epoch  2, Batch     77, Loss  0.882866, Average Loss  0.874054, Time  0.264655
2021-09-15 18:28:44.254338 : Epoch  2, Batch     78, Loss  0.870962, Average Loss  0.874015, Time  0.265929
2021-09-15 18:28:47.231477 : Epoch  2, Batch     79, Loss  0.850921, Average Loss  0.874046, Time  0.266628
2021-09-15 18:28:50.204354 : Epoch  2, Batch     80, Loss  0.879315, Average Loss  0.874060, Time  0.265011
2021-09-15 18:28:53.187701 : Epoch  2, Batch     81, Loss  0.882245, Average Loss  0.874034, Time  0.265788
2021-09-15 18:28:56.166884 : Epoch  2, Batch     82, Loss  0.867726, Average Loss  0.874032, Time  0.265629
2021-09-15 18:28:59.114477 : Epoch  2, Batch     83, Loss  0.856639, Average Loss  0.873980, Time  0.265751
2021-09-15 18:29:02.119036 : Epoch  2, Batch     84, Loss  0.871170, Average Loss  0.873925, Time  0.275862
2021-09-15 18:29:05.096305 : Epoch  2, Batch     85, Loss  0.867958, Average Loss  0.873831, Time  0.266465
2021-09-15 18:29:08.107168 : Epoch  2, Batch     86, Loss  0.858356, Average Loss  0.873738, Time  0.265184
2021-09-15 18:29:11.071281 : Epoch  2, Batch     87, Loss  0.882141, Average Loss  0.873725, Time  0.264857
2021-09-15 18:29:14.042449 : Epoch  2, Batch     88, Loss  0.855026, Average Loss  0.873566, Time  0.265491
2021-09-15 18:29:17.053388 : Epoch  2, Batch     89, Loss  0.889542, Average Loss  0.873715, Time  0.265218
2021-09-15 18:29:20.038670 : Epoch  2, Batch     90, Loss  0.859379, Average Loss  0.873691, Time  0.266527
2021-09-15 18:29:23.003789 : Epoch  2, Batch     91, Loss  0.880649, Average Loss  0.873687, Time  0.264936
2021-09-15 18:29:25.973100 : Epoch  2, Batch     92, Loss  0.871110, Average Loss  0.873642, Time  0.265428
2021-09-15 18:29:28.985354 : Epoch  2, Batch     93, Loss  0.877129, Average Loss  0.873606, Time  0.266106
2021-09-15 18:29:31.992039 : Epoch  2, Batch     94, Loss  0.889794, Average Loss  0.873648, Time  0.265231
2021-09-15 18:29:34.965645 : Epoch  2, Batch     95, Loss  0.886290, Average Loss  0.873789, Time  0.265831
2021-09-15 18:29:37.934421 : Epoch  2, Batch     96, Loss  0.842367, Average Loss  0.873572, Time  0.264069
2021-09-15 18:29:40.937130 : Epoch  2, Batch     97, Loss  0.874256, Average Loss  0.873451, Time  0.266441
2021-09-15 18:29:43.959259 : Epoch  2, Batch     98, Loss  0.889625, Average Loss  0.873540, Time  0.266192
2021-09-15 18:29:46.961326 : Epoch  2, Batch     99, Loss  0.876852, Average Loss  0.873568, Time  0.277108
2021-09-15 18:29:49.946032 : Epoch  2, Batch    100, Loss  0.886176, Average Loss  0.873686, Time  0.266062
2021-09-15 18:29:52.935721 : Epoch  2, Batch    101, Loss  0.876182, Average Loss  0.873657, Time  0.266180
2021-09-15 18:29:55.911214 : Epoch  2, Batch    102, Loss  0.890278, Average Loss  0.873764, Time  0.265984
2021-09-15 18:29:58.849716 : Epoch  2, Batch    103, Loss  0.871067, Average Loss  0.873757, Time  0.264845
2021-09-15 18:30:01.867073 : Epoch  2, Batch    104, Loss  0.884972, Average Loss  0.873845, Time  0.266469
2021-09-15 18:30:04.887266 : Epoch  2, Batch    105, Loss  0.885559, Average Loss  0.873876, Time  0.265405
2021-09-15 18:30:07.884618 : Epoch  2, Batch    106, Loss  0.865904, Average Loss  0.873885, Time  0.265535
2021-09-15 18:30:10.933363 : Epoch  2, Batch    107, Loss  0.905850, Average Loss  0.874076, Time  0.265746
2021-09-15 18:30:13.909814 : Epoch  2, Batch    108, Loss  0.883109, Average Loss  0.874151, Time  0.265622
2021-09-15 18:30:16.882395 : Epoch  2, Batch    109, Loss  0.880369, Average Loss  0.874220, Time  0.264925
2021-09-15 18:30:19.888635 : Epoch  2, Batch    110, Loss  0.887788, Average Loss  0.874246, Time  0.265549
2021-09-15 18:30:22.913922 : Epoch  2, Batch    111, Loss  0.879594, Average Loss  0.874253, Time  0.267339
2021-09-15 18:30:25.956272 : Epoch  2, Batch    112, Loss  0.862778, Average Loss  0.874196, Time  0.266943
2021-09-15 18:30:28.931875 : Epoch  2, Batch    113, Loss  0.874406, Average Loss  0.874288, Time  0.264953
2021-09-15 18:30:31.915174 : Epoch  2, Batch    114, Loss  0.868723, Average Loss  0.874279, Time  0.276982
2021-09-15 18:30:34.887956 : Epoch  2, Batch    115, Loss  0.858315, Average Loss  0.874220, Time  0.265434
2021-09-15 18:30:37.873335 : Epoch  2, Batch    116, Loss  0.909641, Average Loss  0.874453, Time  0.266293
2021-09-15 18:30:40.873735 : Epoch  2, Batch    117, Loss  0.861828, Average Loss  0.874381, Time  0.266929
2021-09-15 18:30:43.896940 : Epoch  2, Batch    118, Loss  0.889735, Average Loss  0.874498, Time  0.265627
2021-09-15 18:30:46.900168 : Epoch  2, Batch    119, Loss  0.874498, Average Loss  0.874475, Time  0.265935
2021-09-15 18:30:49.872203 : Epoch  2, Batch    120, Loss  0.851411, Average Loss  0.874401, Time  0.266889
2021-09-15 18:30:52.853546 : Epoch  2, Batch    121, Loss  0.884039, Average Loss  0.874482, Time  0.265297
2021-09-15 18:30:55.848590 : Epoch  2, Batch    122, Loss  0.868368, Average Loss  0.874422, Time  0.265887
2021-09-15 18:30:58.821608 : Epoch  2, Batch    123, Loss  0.883096, Average Loss  0.874432, Time  0.265520
2021-09-15 18:31:01.814888 : Epoch  2, Batch    124, Loss  0.870767, Average Loss  0.874343, Time  0.266313
2021-09-15 18:31:04.837430 : Epoch  2, Batch    125, Loss  0.886161, Average Loss  0.874469, Time  0.266117
2021-09-15 18:31:07.835624 : Epoch  2, Batch    126, Loss  0.892747, Average Loss  0.874422, Time  0.265034
2021-09-15 18:31:10.830924 : Epoch  2, Batch    127, Loss  0.862733, Average Loss  0.874288, Time  0.264858
2021-09-15 18:31:13.828256 : Epoch  2, Batch    128, Loss  0.880278, Average Loss  0.874350, Time  0.265539
2021-09-15 18:31:16.803792 : Epoch  2, Batch    129, Loss  0.870955, Average Loss  0.874268, Time  0.276889
2021-09-15 18:31:19.794957 : Epoch  2, Batch    130, Loss  0.885899, Average Loss  0.874335, Time  0.265850
2021-09-15 18:31:22.777632 : Epoch  2, Batch    131, Loss  0.869613, Average Loss  0.874398, Time  0.266075
2021-09-15 18:31:25.764452 : Epoch  2, Batch    132, Loss  0.882679, Average Loss  0.874501, Time  0.265749
2021-09-15 18:31:28.760313 : Epoch  2, Batch    133, Loss  0.879150, Average Loss  0.874532, Time  0.265435
2021-09-15 18:31:31.751356 : Epoch  2, Batch    134, Loss  0.884601, Average Loss  0.874523, Time  0.266119
2021-09-15 18:31:34.758116 : Epoch  2, Batch    135, Loss  0.866127, Average Loss  0.874576, Time  0.265244
2021-09-15 18:31:37.739049 : Epoch  2, Batch    136, Loss  0.876854, Average Loss  0.874707, Time  0.265596
2021-09-15 18:31:40.717991 : Epoch  2, Batch    137, Loss  0.861052, Average Loss  0.874673, Time  0.264999
2021-09-15 18:31:43.693092 : Epoch  2, Batch    138, Loss  0.886419, Average Loss  0.874723, Time  0.265669
2021-09-15 18:31:46.670260 : Epoch  2, Batch    139, Loss  0.859370, Average Loss  0.874650, Time  0.266021
2021-09-15 18:31:49.659449 : Epoch  2, Batch    140, Loss  0.875321, Average Loss  0.874530, Time  0.266308
2021-09-15 18:31:52.642928 : Epoch  2, Batch    141, Loss  0.871651, Average Loss  0.874581, Time  0.264971
2021-09-15 18:31:55.636216 : Epoch  2, Batch    142, Loss  0.877794, Average Loss  0.874548, Time  0.267190
2021-09-15 18:31:58.653495 : Epoch  2, Batch    143, Loss  0.870164, Average Loss  0.874693, Time  0.265775
2021-09-15 18:32:09.699138 : Epoch  2, Batch    144, Loss  0.872744, Average Loss  0.874609, Time  0.281523
2021-09-15 18:36:46.728577 : CheckPoint: Validation Loss  0.00030930, Best Loss  0.00029628
2021-09-15 18:36:49.710395 : Epoch  2, Batch    145, Loss  0.894253, Average Loss  0.874602, Time  0.267521
2021-09-15 18:36:52.695950 : Epoch  2, Batch    146, Loss  0.872731, Average Loss  0.874600, Time  0.265734
2021-09-15 18:36:55.676470 : Epoch  2, Batch    147, Loss  0.866746, Average Loss  0.874584, Time  0.264602
2021-09-15 18:36:58.678526 : Epoch  2, Batch    148, Loss  0.873919, Average Loss  0.874579, Time  0.265043
2021-09-15 18:37:01.651941 : Epoch  2, Batch    149, Loss  0.870036, Average Loss  0.874602, Time  0.265636
2021-09-15 18:37:04.629484 : Epoch  2, Batch    150, Loss  0.892694, Average Loss  0.874692, Time  0.265444
2021-09-15 18:37:07.608305 : Epoch  2, Batch    151, Loss  0.899350, Average Loss  0.874867, Time  0.265425
2021-09-15 18:37:10.591292 : Epoch  2, Batch    152, Loss  0.856962, Average Loss  0.874859, Time  0.265702
2021-09-15 18:37:13.615209 : Epoch  2, Batch    153, Loss  0.862067, Average Loss  0.874753, Time  0.266841
2021-09-15 18:37:16.593605 : Epoch  2, Batch    154, Loss  0.872262, Average Loss  0.874799, Time  0.266142
2021-09-15 18:37:19.615841 : Epoch  2, Batch    155, Loss  0.901618, Average Loss  0.874897, Time  0.265931
2021-09-15 18:37:22.622709 : Epoch  2, Batch    156, Loss  0.876459, Average Loss  0.874746, Time  0.266367
2021-09-15 18:37:25.626450 : Epoch  2, Batch    157, Loss  0.860660, Average Loss  0.874692, Time  0.278617
2021-09-15 18:37:28.621486 : Epoch  2, Batch    158, Loss  0.881628, Average Loss  0.874744, Time  0.265267
2021-09-15 18:37:31.603961 : Epoch  2, Batch    159, Loss  0.864201, Average Loss  0.874599, Time  0.265681
2021-09-15 18:37:34.577515 : Epoch  2, Batch    160, Loss  0.874586, Average Loss  0.874552, Time  0.266254
2021-09-15 18:37:37.569328 : Epoch  2, Batch    161, Loss  0.879457, Average Loss  0.874635, Time  0.265424
2021-09-15 18:37:40.546344 : Epoch  2, Batch    162, Loss  0.878601, Average Loss  0.874768, Time  0.265468
2021-09-15 18:37:43.512273 : Epoch  2, Batch    163, Loss  0.873474, Average Loss  0.874801, Time  0.265611
2021-09-15 18:37:46.516696 : Epoch  2, Batch    164, Loss  0.875018, Average Loss  0.874758, Time  0.265309
2021-09-15 18:37:49.513995 : Epoch  2, Batch    165, Loss  0.860212, Average Loss  0.874642, Time  0.264785
2021-09-15 18:37:52.481305 : Epoch  2, Batch    166, Loss  0.881755, Average Loss  0.874594, Time  0.265110
2021-09-15 18:37:55.473854 : Epoch  2, Batch    167, Loss  0.857852, Average Loss  0.874446, Time  0.265930
2021-09-15 18:37:58.495613 : Epoch  2, Batch    168, Loss  0.889401, Average Loss  0.874396, Time  0.266252
2021-09-15 18:38:01.471960 : Epoch  2, Batch    169, Loss  0.871875, Average Loss  0.874464, Time  0.265048
2021-09-15 18:38:04.440298 : Epoch  2, Batch    170, Loss  0.858382, Average Loss  0.874367, Time  0.265998
2021-09-15 18:38:07.418183 : Epoch  2, Batch    171, Loss  0.888680, Average Loss  0.874454, Time  0.265300
2021-09-15 18:38:10.400193 : Epoch  2, Batch    172, Loss  0.871292, Average Loss  0.874474, Time  0.265180
2021-09-15 18:38:13.381394 : Epoch  2, Batch    173, Loss  0.865919, Average Loss  0.874358, Time  0.277335
2021-09-15 18:38:16.349494 : Epoch  2, Batch    174, Loss  0.892452, Average Loss  0.874422, Time  0.265238
2021-09-15 18:38:19.330350 : Epoch  2, Batch    175, Loss  0.896536, Average Loss  0.874632, Time  0.266014
2021-09-15 18:38:22.339094 : Epoch  2, Batch    176, Loss  0.871690, Average Loss  0.874621, Time  0.266923
2021-09-15 18:38:25.376020 : Epoch  2, Batch    177, Loss  0.860311, Average Loss  0.874496, Time  0.265249
2021-09-15 18:38:28.339808 : Epoch  2, Batch    178, Loss  0.871971, Average Loss  0.874515, Time  0.266900
2021-09-15 18:38:31.307549 : Epoch  2, Batch    179, Loss  0.896980, Average Loss  0.874702, Time  0.265532
2021-09-15 18:38:34.319643 : Epoch  2, Batch    180, Loss  0.891881, Average Loss  0.874805, Time  0.266979
2021-09-15 18:38:37.331322 : Epoch  2, Batch    181, Loss  0.851220, Average Loss  0.874648, Time  0.265661
2021-09-15 18:38:40.301738 : Epoch  2, Batch    182, Loss  0.854922, Average Loss  0.874445, Time  0.266189
2021-09-15 18:38:43.273902 : Epoch  2, Batch    183, Loss  0.888012, Average Loss  0.874567, Time  0.264961
2021-09-15 18:38:46.259503 : Epoch  2, Batch    184, Loss  0.891037, Average Loss  0.874622, Time  0.266495
2021-09-15 18:38:49.226864 : Epoch  2, Batch    185, Loss  0.881015, Average Loss  0.874660, Time  0.265366
2021-09-15 18:38:52.198526 : Epoch  2, Batch    186, Loss  0.869370, Average Loss  0.874626, Time  0.265396
2021-09-15 18:38:55.177937 : Epoch  2, Batch    187, Loss  0.860683, Average Loss  0.874526, Time  0.265963
2021-09-15 18:38:58.198926 : Epoch  2, Batch    188, Loss  0.862876, Average Loss  0.874520, Time  0.276809
2021-09-15 18:39:01.185909 : Epoch  2, Batch    189, Loss  0.853941, Average Loss  0.874433, Time  0.265502
2021-09-15 18:39:04.181681 : Epoch  2, Batch    190, Loss  0.868232, Average Loss  0.874476, Time  0.265093
2021-09-15 18:39:07.181538 : Epoch  2, Batch    191, Loss  0.875611, Average Loss  0.874504, Time  0.265069
2021-09-15 18:39:10.170440 : Epoch  2, Batch    192, Loss  0.868247, Average Loss  0.874463, Time  0.265355
2021-09-15 18:39:13.136044 : Epoch  2, Batch    193, Loss  0.887383, Average Loss  0.874579, Time  0.265273
2021-09-15 18:39:16.130788 : Epoch  2, Batch    194, Loss  0.872294, Average Loss  0.874605, Time  0.264758
2021-09-15 18:39:19.096159 : Epoch  2, Batch    195, Loss  0.873767, Average Loss  0.874591, Time  0.265311
2021-09-15 18:39:22.105095 : Epoch  2, Batch    196, Loss  0.873621, Average Loss  0.874458, Time  0.265988
2021-09-15 18:39:25.104951 : Epoch  2, Batch    197, Loss  0.858398, Average Loss  0.874314, Time  0.264993
2021-09-15 18:39:28.094654 : Epoch  2, Batch    198, Loss  0.873692, Average Loss  0.874310, Time  0.266809
2021-09-15 18:39:31.077124 : Epoch  2, Batch    199, Loss  0.880404, Average Loss  0.874471, Time  0.265190
2021-09-15 18:39:34.063208 : Epoch  2, Batch    200, Loss  0.868103, Average Loss  0.874378, Time  0.266709
2021-09-15 18:39:37.055874 : Epoch  2, Batch    201, Loss  0.865541, Average Loss  0.874326, Time  0.265956
2021-09-15 18:39:40.014215 : Epoch  2, Batch    202, Loss  0.862293, Average Loss  0.874319, Time  0.265922
2021-09-15 18:39:43.025148 : Epoch  2, Batch    203, Loss  0.860055, Average Loss  0.874249, Time  0.276355
2021-09-15 18:39:45.999515 : Epoch  2, Batch    204, Loss  0.878680, Average Loss  0.874224, Time  0.264925
2021-09-15 18:39:48.968073 : Epoch  2, Batch    205, Loss  0.863220, Average Loss  0.874176, Time  0.265326
2021-09-15 18:39:51.943864 : Epoch  2, Batch    206, Loss  0.877666, Average Loss  0.874196, Time  0.266886
2021-09-15 18:39:54.953339 : Epoch  2, Batch    207, Loss  0.861613, Average Loss  0.874211, Time  0.265072
2021-09-15 18:39:57.942465 : Epoch  2, Batch    208, Loss  0.861978, Average Loss  0.874181, Time  0.266610
2021-09-15 18:40:00.935133 : Epoch  2, Batch    209, Loss  0.892380, Average Loss  0.874333, Time  0.265995
2021-09-15 18:40:03.909203 : Epoch  2, Batch    210, Loss  0.873132, Average Loss  0.874270, Time  0.266057
2021-09-15 18:40:06.892618 : Epoch  2, Batch    211, Loss  0.870249, Average Loss  0.874237, Time  0.265006
2021-09-15 18:40:09.877523 : Epoch  2, Batch    212, Loss  0.865477, Average Loss  0.874146, Time  0.264922
2021-09-15 18:40:12.838140 : Epoch  2, Batch    213, Loss  0.876349, Average Loss  0.874207, Time  0.265270
2021-09-15 18:40:15.808458 : Epoch  2, Batch    214, Loss  0.870832, Average Loss  0.874139, Time  0.265263
2021-09-15 18:40:18.776417 : Epoch  2, Batch    215, Loss  0.875981, Average Loss  0.874074, Time  0.265553
2021-09-15 18:40:21.758827 : Epoch  2, Batch    216, Loss  0.869283, Average Loss  0.874129, Time  0.264590
2021-09-15 18:40:24.751339 : Epoch  2, Batch    217, Loss  0.876704, Average Loss  0.874147, Time  0.265872
2021-09-15 18:40:27.736812 : Epoch  2, Batch    218, Loss  0.862817, Average Loss  0.874079, Time  0.278040
2021-09-15 18:40:30.715183 : Epoch  2, Batch    219, Loss  0.855458, Average Loss  0.874099, Time  0.266800
2021-09-15 18:40:33.717209 : Epoch  2, Batch    220, Loss  0.883252, Average Loss  0.874103, Time  0.266318
2021-09-15 18:40:36.690405 : Epoch  2, Batch    221, Loss  0.870582, Average Loss  0.874096, Time  0.265587
2021-09-15 18:40:39.684891 : Epoch  2, Batch    222, Loss  0.868445, Average Loss  0.874000, Time  0.266985
2021-09-15 18:40:42.694529 : Epoch  2, Batch    223, Loss  0.866818, Average Loss  0.874005, Time  0.265423
2021-09-15 18:40:45.707054 : Epoch  2, Batch    224, Loss  0.872923, Average Loss  0.874149, Time  0.265789
2021-09-15 18:40:48.683497 : Epoch  2, Batch    225, Loss  0.884737, Average Loss  0.874302, Time  0.266093
2021-09-15 18:40:51.656785 : Epoch  2, Batch    226, Loss  0.867874, Average Loss  0.874266, Time  0.265779
2021-09-15 18:40:54.641440 : Epoch  2, Batch    227, Loss  0.858166, Average Loss  0.874165, Time  0.264928
2021-09-15 18:40:57.608439 : Epoch  2, Batch    228, Loss  0.882333, Average Loss  0.874271, Time  0.265416
2021-09-15 18:41:00.581915 : Epoch  2, Batch    229, Loss  0.881832, Average Loss  0.874376, Time  0.264676
2021-09-15 18:41:03.600918 : Epoch  2, Batch    230, Loss  0.868361, Average Loss  0.874486, Time  0.265254
2021-09-15 18:41:06.559989 : Epoch  2, Batch    231, Loss  0.886584, Average Loss  0.874603, Time  0.264852
2021-09-15 18:41:09.585226 : Epoch  2, Batch    232, Loss  0.892597, Average Loss  0.874692, Time  0.265123
2021-09-15 18:41:12.576084 : Epoch  2, Batch    233, Loss  0.882773, Average Loss  0.874722, Time  0.277690
2021-09-15 18:41:15.547952 : Epoch  2, Batch    234, Loss  0.895721, Average Loss  0.874797, Time  0.264760
2021-09-15 18:41:18.535065 : Epoch  2, Batch    235, Loss  0.860324, Average Loss  0.874713, Time  0.265129
2021-09-15 18:41:21.546861 : Epoch  2, Batch    236, Loss  0.878424, Average Loss  0.874683, Time  0.265890
2021-09-15 18:41:24.526337 : Epoch  2, Batch    237, Loss  0.876789, Average Loss  0.874789, Time  0.264866
2021-09-15 18:41:27.496506 : Epoch  2, Batch    238, Loss  0.876574, Average Loss  0.874815, Time  0.265267
2021-09-15 18:41:30.496796 : Epoch  2, Batch    239, Loss  0.872086, Average Loss  0.874738, Time  0.267325
2021-09-15 18:41:33.475189 : Epoch  2, Batch    240, Loss  0.884724, Average Loss  0.874811, Time  0.265035
2021-09-15 18:41:36.448263 : Epoch  2, Batch    241, Loss  0.880925, Average Loss  0.874930, Time  0.266754
2021-09-15 18:41:39.428404 : Epoch  2, Batch    242, Loss  0.878870, Average Loss  0.874973, Time  0.265121
2021-09-15 18:41:42.441956 : Epoch  2, Batch    243, Loss  0.866675, Average Loss  0.875073, Time  0.264974
2021-09-15 18:41:45.442575 : Epoch  2, Batch    244, Loss  0.879939, Average Loss  0.875162, Time  0.265259
2021-09-15 18:46:23.595540 : CheckPoint: Validation Loss  0.00030120, Best Loss  0.00029628
2021-09-15 18:46:26.598396 : Epoch  2, Batch    245, Loss  0.897410, Average Loss  0.875297, Time  0.267911
2021-09-15 18:46:29.593477 : Epoch  2, Batch    246, Loss  0.866871, Average Loss  0.875229, Time  0.265077
2021-09-15 18:46:32.575484 : Epoch  2, Batch    247, Loss  0.874063, Average Loss  0.875295, Time  0.265524
2021-09-15 18:46:35.565926 : Epoch  2, Batch    248, Loss  0.895006, Average Loss  0.875389, Time  0.265113
2021-09-15 18:46:38.550256 : Epoch  2, Batch    249, Loss  0.880649, Average Loss  0.875375, Time  0.265663
2021-09-15 18:46:41.553526 : Epoch  2, Batch    250, Loss  0.873726, Average Loss  0.875404, Time  0.266530
2021-09-15 18:46:44.609089 : Epoch  2, Batch    251, Loss  0.862866, Average Loss  0.875308, Time  0.278057
2021-09-15 18:46:47.587790 : Epoch  2, Batch    252, Loss  0.860564, Average Loss  0.875212, Time  0.265902
2021-09-15 18:46:50.554297 : Epoch  2, Batch    253, Loss  0.869772, Average Loss  0.875092, Time  0.265140
2021-09-15 18:46:53.534876 : Epoch  2, Batch    254, Loss  0.876343, Average Loss  0.875095, Time  0.265512
2021-09-15 18:46:56.524615 : Epoch  2, Batch    255, Loss  0.886913, Average Loss  0.875054, Time  0.265815
2021-09-15 18:46:59.535735 : Epoch  2, Batch    256, Loss  0.873367, Average Loss  0.874977, Time  0.265712
2021-09-15 18:47:02.513732 : Epoch  2, Batch    257, Loss  0.863995, Average Loss  0.875024, Time  0.267287
2021-09-15 18:47:05.456090 : Epoch  2, Batch    258, Loss  0.892596, Average Loss  0.875233, Time  0.264282
2021-09-15 18:47:08.432504 : Epoch  2, Batch    259, Loss  0.885212, Average Loss  0.875163, Time  0.267378
2021-09-15 18:47:11.448172 : Epoch  2, Batch    260, Loss  0.861686, Average Loss  0.875146, Time  0.265701
2021-09-15 18:47:14.462647 : Epoch  2, Batch    261, Loss  0.880013, Average Loss  0.875281, Time  0.265222
2021-09-15 18:47:17.465674 : Epoch  2, Batch    262, Loss  0.891980, Average Loss  0.875377, Time  0.265828
2021-09-15 18:47:20.447009 : Epoch  2, Batch    263, Loss  0.848206, Average Loss  0.875204, Time  0.265849
2021-09-15 18:47:23.457210 : Epoch  2, Batch    264, Loss  0.863692, Average Loss  0.875145, Time  0.266128
2021-09-15 18:47:26.453814 : Epoch  2, Batch    265, Loss  0.862876, Average Loss  0.875096, Time  0.266286
2021-09-15 18:47:29.428457 : Epoch  2, Batch    266, Loss  0.862615, Average Loss  0.874993, Time  0.264749
2021-09-15 18:47:32.475484 : Epoch  2, Batch    267, Loss  0.872863, Average Loss  0.874888, Time  0.275346
2021-09-15 18:47:35.487791 : Epoch  2, Batch    268, Loss  0.885553, Average Loss  0.874913, Time  0.265444
2021-09-15 18:47:38.478450 : Epoch  2, Batch    269, Loss  0.865170, Average Loss  0.874824, Time  0.264679
2021-09-15 18:47:41.469844 : Epoch  2, Batch    270, Loss  0.892165, Average Loss  0.874941, Time  0.264940
2021-09-15 18:47:44.445887 : Epoch  2, Batch    271, Loss  0.885992, Average Loss  0.874931, Time  0.264893
2021-09-15 18:47:47.418017 : Epoch  2, Batch    272, Loss  0.881787, Average Loss  0.874905, Time  0.265708
2021-09-15 18:47:50.398471 : Epoch  2, Batch    273, Loss  0.877094, Average Loss  0.874840, Time  0.265656
2021-09-15 18:47:53.412615 : Epoch  2, Batch    274, Loss  0.878597, Average Loss  0.874880, Time  0.264875
2021-09-15 18:47:56.386513 : Epoch  2, Batch    275, Loss  0.855471, Average Loss  0.874682, Time  0.264930
2021-09-15 18:47:59.380543 : Epoch  2, Batch    276, Loss  0.894815, Average Loss  0.874769, Time  0.265127
2021-09-15 18:48:02.357229 : Epoch  2, Batch    277, Loss  0.881073, Average Loss  0.874760, Time  0.266851
2021-09-15 18:48:05.332260 : Epoch  2, Batch    278, Loss  0.892068, Average Loss  0.874865, Time  0.265805
2021-09-15 18:48:08.342498 : Epoch  2, Batch    279, Loss  0.901405, Average Loss  0.875118, Time  0.265241
2021-09-15 18:48:11.352651 : Epoch  2, Batch    280, Loss  0.855443, Average Loss  0.874999, Time  0.265615
2021-09-15 18:48:14.338920 : Epoch  2, Batch    281, Loss  0.863088, Average Loss  0.874903, Time  0.266008
2021-09-15 18:48:17.324843 : Epoch  2, Batch    282, Loss  0.860869, Average Loss  0.874868, Time  0.278904
2021-09-15 18:48:20.319414 : Epoch  2, Batch    283, Loss  0.894736, Average Loss  0.875059, Time  0.265567
2021-09-15 18:48:23.291345 : Epoch  2, Batch    284, Loss  0.875161, Average Loss  0.875079, Time  0.265555
2021-09-15 18:48:26.263011 : Epoch  2, Batch    285, Loss  0.854934, Average Loss  0.875014, Time  0.265359
2021-09-15 18:48:29.244308 : Epoch  2, Batch    286, Loss  0.867220, Average Loss  0.875058, Time  0.266716
2021-09-15 18:48:32.225352 : Epoch  2, Batch    287, Loss  0.860505, Average Loss  0.874950, Time  0.265336
2021-09-15 18:48:35.198107 : Epoch  2, Batch    288, Loss  0.891727, Average Loss  0.875133, Time  0.264782
2021-09-15 18:48:38.180927 : Epoch  2, Batch    289, Loss  0.892125, Average Loss  0.875146, Time  0.266201
2021-09-15 18:48:41.157478 : Epoch  2, Batch    290, Loss  0.885652, Average Loss  0.875278, Time  0.263774
2021-09-15 18:48:44.162533 : Epoch  2, Batch    291, Loss  0.892194, Average Loss  0.875335, Time  0.265737
2021-09-15 18:48:47.143514 : Epoch  2, Batch    292, Loss  0.862773, Average Loss  0.875294, Time  0.265209
2021-09-15 18:48:50.138544 : Epoch  2, Batch    293, Loss  0.880047, Average Loss  0.875308, Time  0.265155
2021-09-15 18:48:53.111840 : Epoch  2, Batch    294, Loss  0.869740, Average Loss  0.875208, Time  0.264911
2021-09-15 18:48:56.083778 : Epoch  2, Batch    295, Loss  0.849140, Average Loss  0.875022, Time  0.265271
2021-09-15 18:48:59.061811 : Epoch  2, Batch    296, Loss  0.861547, Average Loss  0.875118, Time  0.265027
2021-09-15 18:49:02.042325 : Epoch  2, Batch    297, Loss  0.867502, Average Loss  0.875084, Time  0.275339
2021-09-15 18:49:05.030842 : Epoch  2, Batch    298, Loss  0.878154, Average Loss  0.875027, Time  0.267226
2021-09-15 18:49:08.019924 : Epoch  2, Batch    299, Loss  0.863800, Average Loss  0.874962, Time  0.266017
2021-09-15 18:49:11.008343 : Epoch  2, Batch    300, Loss  0.878596, Average Loss  0.874924, Time  0.266150
2021-09-15 18:49:13.980122 : Epoch  2, Batch    301, Loss  0.893230, Average Loss  0.875009, Time  0.265298
2021-09-15 18:49:16.965904 : Epoch  2, Batch    302, Loss  0.884972, Average Loss  0.874983, Time  0.265743
2021-09-15 18:49:19.969793 : Epoch  2, Batch    303, Loss  0.887988, Average Loss  0.875067, Time  0.265482
2021-09-15 18:49:22.941146 : Epoch  2, Batch    304, Loss  0.881432, Average Loss  0.875050, Time  0.265457
2021-09-15 18:49:25.915449 : Epoch  2, Batch    305, Loss  0.871517, Average Loss  0.874979, Time  0.265564
2021-09-15 18:49:28.918534 : Epoch  2, Batch    306, Loss  0.871163, Average Loss  0.875006, Time  0.265842
2021-09-15 18:49:31.897442 : Epoch  2, Batch    307, Loss  0.894449, Average Loss  0.874949, Time  0.265388
2021-09-15 18:49:34.896523 : Epoch  2, Batch    308, Loss  0.867171, Average Loss  0.874869, Time  0.264844
2021-09-15 18:49:37.872374 : Epoch  2, Batch    309, Loss  0.860611, Average Loss  0.874770, Time  0.264302
2021-09-15 18:49:40.856306 : Epoch  2, Batch    310, Loss  0.853718, Average Loss  0.874600, Time  0.265804
2021-09-15 18:49:43.841411 : Epoch  2, Batch    311, Loss  0.875056, Average Loss  0.874577, Time  0.265584
2021-09-15 18:49:46.855228 : Epoch  2, Batch    312, Loss  0.893997, Average Loss  0.874733, Time  0.272936
2021-09-15 18:49:49.828994 : Epoch  2, Batch    313, Loss  0.878273, Average Loss  0.874753, Time  0.265528
2021-09-15 18:49:52.846413 : Epoch  2, Batch    314, Loss  0.849653, Average Loss  0.874657, Time  0.266858
2021-09-15 18:49:55.854370 : Epoch  2, Batch    315, Loss  0.852957, Average Loss  0.874630, Time  0.265944
2021-09-15 18:49:58.856931 : Epoch  2, Batch    316, Loss  0.868527, Average Loss  0.874425, Time  0.265463
2021-09-15 18:50:01.838023 : Epoch  2, Batch    317, Loss  0.859110, Average Loss  0.874411, Time  0.265528
2021-09-15 18:50:04.828189 : Epoch  2, Batch    318, Loss  0.878151, Average Loss  0.874353, Time  0.267787
2021-09-15 18:50:07.821341 : Epoch  2, Batch    319, Loss  0.864385, Average Loss  0.874303, Time  0.264839
2021-09-15 18:50:10.841842 : Epoch  2, Batch    320, Loss  0.868891, Average Loss  0.874390, Time  0.265651
2021-09-15 18:50:13.847840 : Epoch  2, Batch    321, Loss  0.876663, Average Loss  0.874353, Time  0.265131
2021-09-15 18:50:16.833450 : Epoch  2, Batch    322, Loss  0.873674, Average Loss  0.874380, Time  0.265772
2021-09-15 18:50:19.824666 : Epoch  2, Batch    323, Loss  0.863732, Average Loss  0.874283, Time  0.265800
2021-09-15 18:50:22.805360 : Epoch  2, Batch    324, Loss  0.864364, Average Loss  0.874251, Time  0.266425
2021-09-15 18:50:25.794461 : Epoch  2, Batch    325, Loss  0.873112, Average Loss  0.874186, Time  0.265301
2021-09-15 18:50:28.777373 : Epoch  2, Batch    326, Loss  0.861760, Average Loss  0.874031, Time  0.265889
2021-09-15 18:50:31.806718 : Epoch  2, Batch    327, Loss  0.855689, Average Loss  0.873996, Time  0.273524
2021-09-15 18:50:34.836751 : Epoch  2, Batch    328, Loss  0.894095, Average Loss  0.874065, Time  0.266549
2021-09-15 18:50:37.830662 : Epoch  2, Batch    329, Loss  0.883896, Average Loss  0.874129, Time  0.265517
2021-09-15 18:50:40.808803 : Epoch  2, Batch    330, Loss  0.890992, Average Loss  0.874155, Time  0.265170
2021-09-15 18:50:43.789697 : Epoch  2, Batch    331, Loss  0.875272, Average Loss  0.874183, Time  0.265584
2021-09-15 18:50:46.763935 : Epoch  2, Batch    332, Loss  0.884671, Average Loss  0.874193, Time  0.265567
2021-09-15 18:50:49.760291 : Epoch  2, Batch    333, Loss  0.873396, Average Loss  0.874164, Time  0.266404
2021-09-15 18:50:52.750370 : Epoch  2, Batch    334, Loss  0.884691, Average Loss  0.874165, Time  0.265271
2021-09-15 18:50:55.731827 : Epoch  2, Batch    335, Loss  0.856011, Average Loss  0.874114, Time  0.265161
2021-09-15 18:50:58.714830 : Epoch  2, Batch    336, Loss  0.878245, Average Loss  0.874121, Time  0.265174
2021-09-15 18:51:01.711148 : Epoch  2, Batch    337, Loss  0.867802, Average Loss  0.874155, Time  0.265680
2021-09-15 18:51:04.737695 : Epoch  2, Batch    338, Loss  0.844209, Average Loss  0.873944, Time  0.267453
2021-09-15 18:51:07.732236 : Epoch  2, Batch    339, Loss  0.861994, Average Loss  0.873957, Time  0.265414
2021-09-15 18:51:10.742213 : Epoch  2, Batch    340, Loss  0.854569, Average Loss  0.873853, Time  0.266047
2021-09-15 18:51:13.722139 : Epoch  2, Batch    341, Loss  0.875541, Average Loss  0.873873, Time  0.265855
2021-09-15 18:51:16.704973 : Epoch  2, Batch    342, Loss  0.871175, Average Loss  0.873840, Time  0.276445
2021-09-15 18:51:19.685759 : Epoch  2, Batch    343, Loss  0.871351, Average Loss  0.873845, Time  0.265253
2021-09-15 18:51:22.660672 : Epoch  2, Batch    344, Loss  0.884523, Average Loss  0.873904, Time  0.264946
2021-09-15 18:56:01.485897 : CheckPoint: Validation Loss  0.00029882, Best Loss  0.00029628
2021-09-15 18:56:04.483505 : Epoch  2, Batch    345, Loss  0.862489, Average Loss  0.873746, Time  0.270624
2021-09-15 18:56:07.477402 : Epoch  2, Batch    346, Loss  0.871440, Average Loss  0.873739, Time  0.266077
2021-09-15 18:56:10.462181 : Epoch  2, Batch    347, Loss  0.857847, Average Loss  0.873695, Time  0.265343
2021-09-15 18:56:13.452099 : Epoch  2, Batch    348, Loss  0.881590, Average Loss  0.873733, Time  0.264797
2021-09-15 18:56:16.437455 : Epoch  2, Batch    349, Loss  0.875180, Average Loss  0.873759, Time  0.265683
2021-09-15 18:56:19.457309 : Epoch  2, Batch    350, Loss  0.879279, Average Loss  0.873692, Time  0.266412
2021-09-15 18:56:22.461482 : Epoch  2, Batch    351, Loss  0.890188, Average Loss  0.873646, Time  0.264908
2021-09-15 18:56:25.483092 : Epoch  2, Batch    352, Loss  0.866733, Average Loss  0.873695, Time  0.264863
2021-09-15 18:56:28.466621 : Epoch  2, Batch    353, Loss  0.890778, Average Loss  0.873838, Time  0.264939
2021-09-15 18:56:31.444179 : Epoch  2, Batch    354, Loss  0.868419, Average Loss  0.873819, Time  0.265224
2021-09-15 18:56:34.418548 : Epoch  2, Batch    355, Loss  0.875706, Average Loss  0.873689, Time  0.264789
2021-09-15 18:56:37.416608 : Epoch  2, Batch    356, Loss  0.847714, Average Loss  0.873546, Time  0.265180
2021-09-15 18:56:40.417336 : Epoch  2, Batch    357, Loss  0.899689, Average Loss  0.873741, Time  0.265948
2021-09-15 18:56:43.453269 : Epoch  2, Batch    358, Loss  0.869468, Average Loss  0.873680, Time  0.267480
2021-09-15 18:56:46.459947 : Epoch  2, Batch    359, Loss  0.875786, Average Loss  0.873738, Time  0.276069
2021-09-15 18:56:49.444944 : Epoch  2, Batch    360, Loss  0.873066, Average Loss  0.873730, Time  0.266818
2021-09-15 18:56:52.465801 : Epoch  2, Batch    361, Loss  0.860499, Average Loss  0.873636, Time  0.266179
2021-09-15 18:56:55.471297 : Epoch  2, Batch    362, Loss  0.870208, Average Loss  0.873594, Time  0.265850
2021-09-15 18:56:58.451250 : Epoch  2, Batch    363, Loss  0.877573, Average Loss  0.873614, Time  0.264635
2021-09-15 18:57:01.431288 : Epoch  2, Batch    364, Loss  0.872281, Average Loss  0.873600, Time  0.265446
2021-09-15 18:57:04.427441 : Epoch  2, Batch    365, Loss  0.869527, Average Loss  0.873647, Time  0.266308
2021-09-15 18:57:07.400542 : Epoch  2, Batch    366, Loss  0.865898, Average Loss  0.873568, Time  0.266215
2021-09-15 18:57:10.380389 : Epoch  2, Batch    367, Loss  0.877550, Average Loss  0.873666, Time  0.265193
2021-09-15 18:57:13.375515 : Epoch  2, Batch    368, Loss  0.872294, Average Loss  0.873581, Time  0.266199
2021-09-15 18:57:16.405641 : Epoch  2, Batch    369, Loss  0.872870, Average Loss  0.873586, Time  0.266395
2021-09-15 18:57:19.423799 : Epoch  2, Batch    370, Loss  0.859984, Average Loss  0.873594, Time  0.265492
2021-09-15 18:57:22.411922 : Epoch  2, Batch    371, Loss  0.874295, Average Loss  0.873522, Time  0.264937
2021-09-15 18:57:25.394571 : Epoch  2, Batch    372, Loss  0.860356, Average Loss  0.873467, Time  0.265581
2021-09-15 18:57:28.354317 : Epoch  2, Batch    373, Loss  0.884284, Average Loss  0.873559, Time  0.267159
2021-09-15 18:57:31.371428 : Epoch  2, Batch    374, Loss  0.881681, Average Loss  0.873505, Time  0.277536
2021-09-15 18:57:34.332489 : Epoch  2, Batch    375, Loss  0.854753, Average Loss  0.873296, Time  0.265871
2021-09-15 18:57:37.345051 : Epoch  2, Batch    376, Loss  0.881961, Average Loss  0.873347, Time  0.265583
2021-09-15 18:57:40.292669 : Epoch  2, Batch    377, Loss  0.881765, Average Loss  0.873455, Time  0.264315
2021-09-15 18:57:43.263431 : Epoch  2, Batch    378, Loss  0.859754, Average Loss  0.873394, Time  0.266465
2021-09-15 18:57:46.248048 : Epoch  2, Batch    379, Loss  0.887283, Average Loss  0.873345, Time  0.265721
2021-09-15 18:57:49.235242 : Epoch  2, Batch    380, Loss  0.864182, Average Loss  0.873207, Time  0.265573
2021-09-15 18:57:52.236110 : Epoch  2, Batch    381, Loss  0.889319, Average Loss  0.873397, Time  0.264973
2021-09-15 18:57:55.240123 : Epoch  2, Batch    382, Loss  0.868331, Average Loss  0.873464, Time  0.265299
2021-09-15 18:57:58.225258 : Epoch  2, Batch    383, Loss  0.885445, Average Loss  0.873451, Time  0.265813
2021-09-15 18:58:01.209300 : Epoch  2, Batch    384, Loss  0.854083, Average Loss  0.873267, Time  0.265600
2021-09-15 18:58:04.182143 : Epoch  2, Batch    385, Loss  0.871697, Average Loss  0.873220, Time  0.265471
2021-09-15 18:58:07.171530 : Epoch  2, Batch    386, Loss  0.883569, Average Loss  0.873291, Time  0.265426
2021-09-15 18:58:10.175313 : Epoch  2, Batch    387, Loss  0.866305, Average Loss  0.873319, Time  0.265962
2021-09-15 18:58:13.187176 : Epoch  2, Batch    388, Loss  0.863646, Average Loss  0.873323, Time  0.265157
2021-09-15 18:58:16.205754 : Epoch  2, Batch    389, Loss  0.893839, Average Loss  0.873522, Time  0.275443
2021-09-15 18:58:19.218567 : Epoch  2, Batch    390, Loss  0.881797, Average Loss  0.873590, Time  0.266558
2021-09-15 18:58:22.202335 : Epoch  2, Batch    391, Loss  0.869641, Average Loss  0.873560, Time  0.265337
2021-09-15 18:58:25.184501 : Epoch  2, Batch    392, Loss  0.897612, Average Loss  0.873707, Time  0.264939
2021-09-15 18:58:28.166524 : Epoch  2, Batch    393, Loss  0.881083, Average Loss  0.873676, Time  0.265230
2021-09-15 18:58:31.160505 : Epoch  2, Batch    394, Loss  0.867502, Average Loss  0.873652, Time  0.265047
2021-09-15 18:58:34.143010 : Epoch  2, Batch    395, Loss  0.870354, Average Loss  0.873635, Time  0.265367
2021-09-15 18:58:37.152170 : Epoch  2, Batch    396, Loss  0.870509, Average Loss  0.873619, Time  0.264358
2021-09-15 18:58:40.106591 : Epoch  2, Batch    397, Loss  0.876864, Average Loss  0.873711, Time  0.266767
2021-09-15 18:58:43.114619 : Epoch  2, Batch    398, Loss  0.872233, Average Loss  0.873704, Time  0.267482
2021-09-15 18:58:46.130096 : Epoch  2, Batch    399, Loss  0.862890, Average Loss  0.873617, Time  0.266513
2021-09-15 18:58:49.160917 : Epoch  2, Batch    400, Loss  0.877690, Average Loss  0.873665, Time  0.267283
2021-09-15 18:58:52.183085 : Epoch  2, Batch    401, Loss  0.889084, Average Loss  0.873782, Time  0.266514
2021-09-15 18:58:55.205446 : Epoch  2, Batch    402, Loss  0.869362, Average Loss  0.873818, Time  0.266115
2021-09-15 18:58:58.200805 : Epoch  2, Batch    403, Loss  0.881434, Average Loss  0.873925, Time  0.265240
2021-09-15 18:59:01.228847 : Epoch  2, Batch    404, Loss  0.891850, Average Loss  0.873990, Time  0.280345
2021-09-15 18:59:04.223229 : Epoch  2, Batch    405, Loss  0.882874, Average Loss  0.874089, Time  0.265536
2021-09-15 18:59:07.278689 : Epoch  2, Batch    406, Loss  0.872591, Average Loss  0.874063, Time  0.266932
2021-09-15 18:59:10.291919 : Epoch  2, Batch    407, Loss  0.876818, Average Loss  0.874139, Time  0.265475
2021-09-15 18:59:13.271310 : Epoch  2, Batch    408, Loss  0.869424, Average Loss  0.874177, Time  0.264225
2021-09-15 18:59:16.249816 : Epoch  2, Batch    409, Loss  0.871554, Average Loss  0.874072, Time  0.265472
2021-09-15 18:59:19.232419 : Epoch  2, Batch    410, Loss  0.861176, Average Loss  0.874013, Time  0.264709
2021-09-15 18:59:22.237162 : Epoch  2, Batch    411, Loss  0.871383, Average Loss  0.874018, Time  0.265836
2021-09-15 18:59:25.226882 : Epoch  2, Batch    412, Loss  0.881552, Average Loss  0.874099, Time  0.265254
2021-09-15 18:59:28.208292 : Epoch  2, Batch    413, Loss  0.878203, Average Loss  0.874108, Time  0.265566
2021-09-15 18:59:31.231988 : Epoch  2, Batch    414, Loss  0.876174, Average Loss  0.874135, Time  0.265751
2021-09-15 18:59:34.250672 : Epoch  2, Batch    415, Loss  0.881352, Average Loss  0.874161, Time  0.266047
2021-09-15 18:59:37.229805 : Epoch  2, Batch    416, Loss  0.871130, Average Loss  0.874171, Time  0.265214
2021-09-15 18:59:40.218664 : Epoch  2, Batch    417, Loss  0.893737, Average Loss  0.874256, Time  0.265933
2021-09-15 18:59:43.249778 : Epoch  2, Batch    418, Loss  0.883471, Average Loss  0.874359, Time  0.267294
2021-09-15 18:59:46.278100 : Epoch  2, Batch    419, Loss  0.865408, Average Loss  0.874409, Time  0.275625
2021-09-15 18:59:49.262886 : Epoch  2, Batch    420, Loss  0.876782, Average Loss  0.874377, Time  0.266336
2021-09-15 18:59:52.273074 : Epoch  2, Batch    421, Loss  0.872090, Average Loss  0.874384, Time  0.266328
2021-09-15 18:59:55.252555 : Epoch  2, Batch    422, Loss  0.870734, Average Loss  0.874396, Time  0.265233
2021-09-15 18:59:58.250799 : Epoch  2, Batch    423, Loss  0.858951, Average Loss  0.874356, Time  0.266325
2021-09-15 19:00:01.239556 : Epoch  2, Batch    424, Loss  0.868440, Average Loss  0.874334, Time  0.266052
2021-09-15 19:00:04.273419 : Epoch  2, Batch    425, Loss  0.888601, Average Loss  0.874353, Time  0.265926
2021-09-15 19:00:07.316674 : Epoch  2, Batch    426, Loss  0.885129, Average Loss  0.874439, Time  0.265690
2021-09-15 19:00:10.330796 : Epoch  2, Batch    427, Loss  0.880314, Average Loss  0.874550, Time  0.265567
2021-09-15 19:00:13.342590 : Epoch  2, Batch    428, Loss  0.867220, Average Loss  0.874475, Time  0.266135
2021-09-15 19:00:16.321521 : Epoch  2, Batch    429, Loss  0.877902, Average Loss  0.874455, Time  0.265905
2021-09-15 19:00:19.351218 : Epoch  2, Batch    430, Loss  0.875464, Average Loss  0.874490, Time  0.265615
2021-09-15 19:00:22.351537 : Epoch  2, Batch    431, Loss  0.867932, Average Loss  0.874397, Time  0.265422
2021-09-15 19:00:25.334555 : Epoch  2, Batch    432, Loss  0.866250, Average Loss  0.874265, Time  0.264666
2021-09-15 19:00:28.315262 : Epoch  2, Batch    433, Loss  0.858114, Average Loss  0.874142, Time  0.266148
2021-09-15 19:00:31.320205 : Epoch  2, Batch    434, Loss  0.850076, Average Loss  0.873914, Time  0.280393
2021-09-15 19:00:34.312955 : Epoch  2, Batch    435, Loss  0.858378, Average Loss  0.873904, Time  0.266144
2021-09-15 19:00:37.303220 : Epoch  2, Batch    436, Loss  0.867503, Average Loss  0.873850, Time  0.265507
2021-09-15 19:00:40.297537 : Epoch  2, Batch    437, Loss  0.866667, Average Loss  0.873799, Time  0.265117
2021-09-15 19:00:43.274165 : Epoch  2, Batch    438, Loss  0.862496, Average Loss  0.873729, Time  0.266838
2021-09-15 19:00:46.263161 : Epoch  2, Batch    439, Loss  0.851991, Average Loss  0.873628, Time  0.265575
2021-09-15 19:00:49.256449 : Epoch  2, Batch    440, Loss  0.879936, Average Loss  0.873604, Time  0.265563
2021-09-15 19:00:52.261393 : Epoch  2, Batch    441, Loss  0.892820, Average Loss  0.873664, Time  0.266909
2021-09-15 19:00:55.268091 : Epoch  2, Batch    442, Loss  0.859035, Average Loss  0.873564, Time  0.265760
2021-09-15 19:00:58.271469 : Epoch  2, Batch    443, Loss  0.860525, Average Loss  0.873534, Time  0.265558
2021-09-15 19:01:01.247223 : Epoch  2, Batch    444, Loss  0.857572, Average Loss  0.873422, Time  0.265133
2021-09-15 19:05:40.867508 : CheckPoint: Validation Loss  0.00030880, Best Loss  0.00029628
2021-09-15 19:05:43.864996 : Epoch  2, Batch    445, Loss  0.858605, Average Loss  0.873228, Time  0.267596
2021-09-15 19:05:46.869419 : Epoch  2, Batch    446, Loss  0.873205, Average Loss  0.873260, Time  0.266312
2021-09-15 19:05:49.883385 : Epoch  2, Batch    447, Loss  0.869454, Average Loss  0.873236, Time  0.266023
2021-09-15 19:05:52.878939 : Epoch  2, Batch    448, Loss  0.883854, Average Loss  0.873181, Time  0.265341
2021-09-15 19:05:55.880869 : Epoch  2, Batch    449, Loss  0.883706, Average Loss  0.873196, Time  0.279965
2021-09-15 19:05:58.889440 : Epoch  2, Batch    450, Loss  0.879819, Average Loss  0.873226, Time  0.266432
2021-09-15 19:06:01.903635 : Epoch  2, Batch    451, Loss  0.842195, Average Loss  0.873123, Time  0.264884
2021-09-15 19:06:04.908671 : Epoch  2, Batch    452, Loss  0.879455, Average Loss  0.873218, Time  0.265315
2021-09-15 19:06:07.885087 : Epoch  2, Batch    453, Loss  0.861201, Average Loss  0.873175, Time  0.265053
2021-09-15 19:06:10.861821 : Epoch  2, Batch    454, Loss  0.875805, Average Loss  0.873172, Time  0.265638
2021-09-15 19:06:13.868181 : Epoch  2, Batch    455, Loss  0.872458, Average Loss  0.873100, Time  0.266240
2021-09-15 19:06:16.856185 : Epoch  2, Batch    456, Loss  0.863331, Average Loss  0.873050, Time  0.267122
2021-09-15 19:06:19.846576 : Epoch  2, Batch    457, Loss  0.867392, Average Loss  0.873067, Time  0.265883
2021-09-15 19:06:22.828863 : Epoch  2, Batch    458, Loss  0.881023, Average Loss  0.873009, Time  0.267377
2021-09-15 19:06:25.885247 : Epoch  2, Batch    459, Loss  0.871967, Average Loss  0.872942, Time  0.266144
2021-09-15 19:06:28.869889 : Epoch  2, Batch    460, Loss  0.882504, Average Loss  0.873047, Time  0.266218
2021-09-15 19:06:31.865444 : Epoch  2, Batch    461, Loss  0.869930, Average Loss  0.872996, Time  0.265489
2021-09-15 19:06:34.847265 : Epoch  2, Batch    462, Loss  0.854321, Average Loss  0.872808, Time  0.265899
2021-09-15 19:06:37.855129 : Epoch  2, Batch    463, Loss  0.879203, Average Loss  0.872963, Time  0.265602
2021-09-15 19:06:40.853415 : Epoch  2, Batch    464, Loss  0.871503, Average Loss  0.873002, Time  0.276464
2021-09-15 19:06:43.821036 : Epoch  2, Batch    465, Loss  0.870442, Average Loss  0.873040, Time  0.265862
2021-09-15 19:06:46.800981 : Epoch  2, Batch    466, Loss  0.861558, Average Loss  0.873034, Time  0.265249
2021-09-15 19:06:49.765800 : Epoch  2, Batch    467, Loss  0.886607, Average Loss  0.873103, Time  0.265253
2021-09-15 19:06:52.747515 : Epoch  2, Batch    468, Loss  0.866007, Average Loss  0.873005, Time  0.266509
2021-09-15 19:06:55.727000 : Epoch  2, Batch    469, Loss  0.884266, Average Loss  0.873101, Time  0.266225
2021-09-15 19:06:58.727845 : Epoch  2, Batch    470, Loss  0.863270, Average Loss  0.872956, Time  0.266378
2021-09-15 19:07:01.744037 : Epoch  2, Batch    471, Loss  0.873434, Average Loss  0.872894, Time  0.266412
2021-09-15 19:07:04.762567 : Epoch  2, Batch    472, Loss  0.865624, Average Loss  0.872813, Time  0.265162
2021-09-15 19:07:07.751387 : Epoch  2, Batch    473, Loss  0.866033, Average Loss  0.872758, Time  0.264797
2021-09-15 19:07:10.753950 : Epoch  2, Batch    474, Loss  0.859970, Average Loss  0.872664, Time  0.266173
2021-09-15 19:07:13.729804 : Epoch  2, Batch    475, Loss  0.862970, Average Loss  0.872702, Time  0.263623
2021-09-15 19:07:16.711613 : Epoch  2, Batch    476, Loss  0.857847, Average Loss  0.872517, Time  0.266571
2021-09-15 19:07:19.728250 : Epoch  2, Batch    477, Loss  0.900514, Average Loss  0.872614, Time  0.266794
2021-09-15 19:07:22.709961 : Epoch  2, Batch    478, Loss  0.878508, Average Loss  0.872546, Time  0.265781
2021-09-15 19:07:25.692973 : Epoch  2, Batch    479, Loss  0.863925, Average Loss  0.872359, Time  0.277839
2021-09-15 19:07:28.667095 : Epoch  2, Batch    480, Loss  0.880116, Average Loss  0.872482, Time  0.265757
2021-09-15 19:07:31.685567 : Epoch  2, Batch    481, Loss  0.908383, Average Loss  0.872709, Time  0.265570
2021-09-15 19:07:34.699405 : Epoch  2, Batch    482, Loss  0.876209, Average Loss  0.872786, Time  0.266835
2021-09-15 19:07:37.702206 : Epoch  2, Batch    483, Loss  0.906831, Average Loss  0.872846, Time  0.265775
2021-09-15 19:07:40.695640 : Epoch  2, Batch    484, Loss  0.857787, Average Loss  0.872759, Time  0.264928
2021-09-15 19:07:43.693032 : Epoch  2, Batch    485, Loss  0.864452, Average Loss  0.872807, Time  0.265372
2021-09-15 19:07:46.690903 : Epoch  2, Batch    486, Loss  0.855374, Average Loss  0.872748, Time  0.266552
2021-09-15 19:07:49.696199 : Epoch  2, Batch    487, Loss  0.879445, Average Loss  0.872842, Time  0.264370
2021-09-15 19:07:52.711821 : Epoch  2, Batch    488, Loss  0.895733, Average Loss  0.872862, Time  0.266080
2021-09-15 19:07:55.714002 : Epoch  2, Batch    489, Loss  0.875115, Average Loss  0.872777, Time  0.265079
2021-09-15 19:07:58.703482 : Epoch  2, Batch    490, Loss  0.849369, Average Loss  0.872596, Time  0.265319
2021-09-15 19:08:01.675597 : Epoch  2, Batch    491, Loss  0.884817, Average Loss  0.872559, Time  0.265858
2021-09-15 19:08:04.692951 : Epoch  2, Batch    492, Loss  0.864171, Average Loss  0.872566, Time  0.265290
2021-09-15 19:08:07.699605 : Epoch  2, Batch    493, Loss  0.878223, Average Loss  0.872557, Time  0.267514
2021-09-15 19:08:10.689950 : Epoch  2, Batch    494, Loss  0.839357, Average Loss  0.872405, Time  0.273799
2021-09-15 19:08:13.672437 : Epoch  2, Batch    495, Loss  0.869292, Average Loss  0.872506, Time  0.264789
2021-09-15 19:08:16.647746 : Epoch  2, Batch    496, Loss  0.867224, Average Loss  0.872534, Time  0.265658
2021-09-15 19:08:19.630827 : Epoch  2, Batch    497, Loss  0.876613, Average Loss  0.872580, Time  0.266352
2021-09-15 19:08:22.641939 : Epoch  2, Batch    498, Loss  0.877027, Average Loss  0.872574, Time  0.265377
2021-09-15 19:08:25.647210 : Epoch  2, Batch    499, Loss  0.885019, Average Loss  0.872680, Time  0.266289
2021-09-15 19:08:28.645034 : Epoch  2, Batch    500, Loss  0.860197, Average Loss  0.872588, Time  0.265948
2021-09-15 19:08:31.628914 : Epoch  2, Batch    501, Loss  0.853813, Average Loss  0.872391, Time  0.265712
2021-09-15 19:08:34.601500 : Epoch  2, Batch    502, Loss  0.849395, Average Loss  0.872213, Time  0.265073
2021-09-15 19:08:37.576934 : Epoch  2, Batch    503, Loss  0.864305, Average Loss  0.872095, Time  0.265062
2021-09-15 19:08:40.548859 : Epoch  2, Batch    504, Loss  0.864639, Average Loss  0.872011, Time  0.265079
2021-09-15 19:08:43.522242 : Epoch  2, Batch    505, Loss  0.858092, Average Loss  0.871944, Time  0.264895
2021-09-15 19:08:46.497502 : Epoch  2, Batch    506, Loss  0.872373, Average Loss  0.871950, Time  0.265151
2021-09-15 19:08:49.512435 : Epoch  2, Batch    507, Loss  0.886762, Average Loss  0.871911, Time  0.265425
2021-09-15 19:08:52.479542 : Epoch  2, Batch    508, Loss  0.858283, Average Loss  0.871867, Time  0.267294
2021-09-15 19:08:55.463127 : Epoch  2, Batch    509, Loss  0.879349, Average Loss  0.871960, Time  0.265394
2021-09-15 19:08:58.486208 : Epoch  2, Batch    510, Loss  0.875677, Average Loss  0.872070, Time  0.273746
2021-09-15 19:09:01.460414 : Epoch  2, Batch    511, Loss  0.882437, Average Loss  0.872107, Time  0.266620
2021-09-15 19:09:04.438044 : Epoch  2, Batch    512, Loss  0.883186, Average Loss  0.872053, Time  0.266018
2021-09-15 19:09:07.416774 : Epoch  2, Batch    513, Loss  0.867949, Average Loss  0.872001, Time  0.265801
2021-09-15 19:09:10.431314 : Epoch  2, Batch    514, Loss  0.877299, Average Loss  0.872140, Time  0.265173
2021-09-15 19:09:13.414244 : Epoch  2, Batch    515, Loss  0.894432, Average Loss  0.872347, Time  0.265073
2021-09-15 19:09:16.428758 : Epoch  2, Batch    516, Loss  0.889019, Average Loss  0.872450, Time  0.265935
2021-09-15 19:09:19.452961 : Epoch  2, Batch    517, Loss  0.875160, Average Loss  0.872530, Time  0.266740
2021-09-15 19:09:22.428707 : Epoch  2, Batch    518, Loss  0.897560, Average Loss  0.872627, Time  0.265199
2021-09-15 19:09:25.436314 : Epoch  2, Batch    519, Loss  0.880181, Average Loss  0.872706, Time  0.265891
2021-09-15 19:09:28.436989 : Epoch  2, Batch    520, Loss  0.885341, Average Loss  0.872788, Time  0.265681
2021-09-15 19:09:31.418365 : Epoch  2, Batch    521, Loss  0.863648, Average Loss  0.872723, Time  0.265014
2021-09-15 19:09:34.391200 : Epoch  2, Batch    522, Loss  0.869814, Average Loss  0.872704, Time  0.265049
2021-09-15 19:09:37.364455 : Epoch  2, Batch    523, Loss  0.887480, Average Loss  0.872822, Time  0.265554
2021-09-15 19:09:40.346809 : Epoch  2, Batch    524, Loss  0.852663, Average Loss  0.872764, Time  0.266090
2021-09-15 19:09:43.349988 : Epoch  2, Batch    525, Loss  0.895214, Average Loss  0.872874, Time  0.278025
2021-09-15 19:09:46.342743 : Epoch  2, Batch    526, Loss  0.861159, Average Loss  0.872871, Time  0.265512
2021-09-15 19:09:49.315983 : Epoch  2, Batch    527, Loss  0.876100, Average Loss  0.872973, Time  0.265016
2021-09-15 19:09:52.295664 : Epoch  2, Batch    528, Loss  0.884486, Average Loss  0.872925, Time  0.266428
2021-09-15 19:09:55.304008 : Epoch  2, Batch    529, Loss  0.875567, Average Loss  0.872884, Time  0.264868
2021-09-15 19:09:58.280267 : Epoch  2, Batch    530, Loss  0.893206, Average Loss  0.872895, Time  0.264554
2021-09-15 19:10:01.246389 : Epoch  2, Batch    531, Loss  0.869049, Average Loss  0.872864, Time  0.264794
2021-09-15 19:10:04.258611 : Epoch  2, Batch    532, Loss  0.869671, Average Loss  0.872789, Time  0.265251
2021-09-15 19:10:07.238497 : Epoch  2, Batch    533, Loss  0.867883, Average Loss  0.872761, Time  0.265413
2021-09-15 19:10:10.224244 : Epoch  2, Batch    534, Loss  0.863647, Average Loss  0.872656, Time  0.265477
2021-09-15 19:10:13.212689 : Epoch  2, Batch    535, Loss  0.875875, Average Loss  0.872755, Time  0.264988
2021-09-15 19:10:16.190137 : Epoch  2, Batch    536, Loss  0.857256, Average Loss  0.872650, Time  0.265259
2021-09-15 19:10:19.168334 : Epoch  2, Batch    537, Loss  0.864688, Average Loss  0.872635, Time  0.267025
2021-09-15 19:10:22.148306 : Epoch  2, Batch    538, Loss  0.891918, Average Loss  0.872873, Time  0.265630
2021-09-15 19:10:25.142417 : Epoch  2, Batch    539, Loss  0.860005, Average Loss  0.872863, Time  0.266571
2021-09-15 19:10:28.184426 : Epoch  2, Batch    540, Loss  0.878135, Average Loss  0.872981, Time  0.277668
2021-09-15 19:10:31.189662 : Epoch  2, Batch    541, Loss  0.867163, Average Loss  0.872939, Time  0.266144
2021-09-15 19:10:34.212844 : Epoch  2, Batch    542, Loss  0.882348, Average Loss  0.872995, Time  0.266901
2021-09-15 19:10:37.223638 : Epoch  2, Batch    543, Loss  0.870885, Average Loss  0.872993, Time  0.263557
2021-09-15 19:10:40.185929 : Epoch  2, Batch    544, Loss  0.868971, Average Loss  0.872915, Time  0.265052
2021-09-15 19:15:18.016385 : CheckPoint: Validation Loss  0.00030488, Best Loss  0.00029628
2021-09-15 19:15:21.029352 : Epoch  2, Batch    545, Loss  0.871908, Average Loss  0.872962, Time  0.267147
2021-09-15 19:15:24.010272 : Epoch  2, Batch    546, Loss  0.887817, Average Loss  0.873044, Time  0.265671
2021-09-15 19:15:27.001941 : Epoch  2, Batch    547, Loss  0.874618, Average Loss  0.873128, Time  0.265581
2021-09-15 19:15:29.988777 : Epoch  2, Batch    548, Loss  0.873671, Average Loss  0.873088, Time  0.265360
2021-09-15 19:15:32.962855 : Epoch  2, Batch    549, Loss  0.883180, Average Loss  0.873128, Time  0.266122
2021-09-15 19:15:35.975268 : Epoch  2, Batch    550, Loss  0.890084, Average Loss  0.873182, Time  0.264904
2021-09-15 19:15:38.948498 : Epoch  2, Batch    551, Loss  0.896583, Average Loss  0.873214, Time  0.265747
2021-09-15 19:15:41.937959 : Epoch  2, Batch    552, Loss  0.867781, Average Loss  0.873220, Time  0.267307
2021-09-15 19:15:44.921542 : Epoch  2, Batch    553, Loss  0.868115, Average Loss  0.873106, Time  0.265406
2021-09-15 19:15:47.900978 : Epoch  2, Batch    554, Loss  0.879628, Average Loss  0.873162, Time  0.265142
2021-09-15 19:15:50.883768 : Epoch  2, Batch    555, Loss  0.866973, Average Loss  0.873119, Time  0.265221
2021-09-15 19:15:53.859497 : Epoch  2, Batch    556, Loss  0.868221, Average Loss  0.873221, Time  0.265754
2021-09-15 19:15:56.861186 : Epoch  2, Batch    557, Loss  0.875688, Average Loss  0.873101, Time  0.281213
2021-09-15 19:15:59.839381 : Epoch  2, Batch    558, Loss  0.872311, Average Loss  0.873115, Time  0.265918
2021-09-15 19:16:02.818041 : Epoch  2, Batch    559, Loss  0.873163, Average Loss  0.873102, Time  0.266421
2021-09-15 19:16:05.783949 : Epoch  2, Batch    560, Loss  0.896678, Average Loss  0.873220, Time  0.265590
2021-09-15 19:16:08.805107 : Epoch  2, Batch    561, Loss  0.883105, Average Loss  0.873333, Time  0.265586
2021-09-15 19:16:11.780322 : Epoch  2, Batch    562, Loss  0.860070, Average Loss  0.873283, Time  0.264799
2021-09-15 19:16:14.768008 : Epoch  2, Batch    563, Loss  0.880072, Average Loss  0.873295, Time  0.265894
2021-09-15 19:16:17.728147 : Epoch  2, Batch    564, Loss  0.887518, Average Loss  0.873371, Time  0.264850
2021-09-15 19:16:20.721888 : Epoch  2, Batch    565, Loss  0.867522, Average Loss  0.873361, Time  0.265907
2021-09-15 19:16:23.709294 : Epoch  2, Batch    566, Loss  0.888104, Average Loss  0.873472, Time  0.266119
2021-09-15 19:16:26.667814 : Epoch  2, Batch    567, Loss  0.886730, Average Loss  0.873518, Time  0.265289
2021-09-15 19:16:29.644048 : Epoch  2, Batch    568, Loss  0.865762, Average Loss  0.873486, Time  0.264910
2021-09-15 19:16:32.617079 : Epoch  2, Batch    569, Loss  0.872986, Average Loss  0.873486, Time  0.265761
2021-09-15 19:16:35.622177 : Epoch  2, Batch    570, Loss  0.845461, Average Loss  0.873414, Time  0.265287
2021-09-15 19:16:38.590197 : Epoch  2, Batch    571, Loss  0.867599, Average Loss  0.873380, Time  0.266139
2021-09-15 19:16:41.575579 : Epoch  2, Batch    572, Loss  0.867155, Average Loss  0.873414, Time  0.264966
2021-09-15 19:16:44.576202 : Epoch  2, Batch    573, Loss  0.887748, Average Loss  0.873431, Time  0.274469
2021-09-15 19:16:47.569078 : Epoch  2, Batch    574, Loss  0.854750, Average Loss  0.873297, Time  0.265706
2021-09-15 19:16:50.553197 : Epoch  2, Batch    575, Loss  0.873788, Average Loss  0.873392, Time  0.266589
2021-09-15 19:16:53.548892 : Epoch  2, Batch    576, Loss  0.885762, Average Loss  0.873411, Time  0.266232
2021-09-15 19:16:56.539865 : Epoch  2, Batch    577, Loss  0.876534, Average Loss  0.873385, Time  0.266955
2021-09-15 19:16:59.514435 : Epoch  2, Batch    578, Loss  0.858293, Average Loss  0.873377, Time  0.265014
2021-09-15 19:17:02.525031 : Epoch  2, Batch    579, Loss  0.863678, Average Loss  0.873259, Time  0.266900
2021-09-15 19:17:05.495308 : Epoch  2, Batch    580, Loss  0.873108, Average Loss  0.873304, Time  0.265220
2021-09-15 19:17:08.469970 : Epoch  2, Batch    581, Loss  0.861858, Average Loss  0.873167, Time  0.265913
2021-09-15 19:17:11.462351 : Epoch  2, Batch    582, Loss  0.865674, Average Loss  0.873153, Time  0.266097
2021-09-15 19:17:14.470414 : Epoch  2, Batch    583, Loss  0.876029, Average Loss  0.873106, Time  0.265301
2021-09-15 19:17:17.461040 : Epoch  2, Batch    584, Loss  0.886374, Average Loss  0.873268, Time  0.265502
2021-09-15 19:17:20.458795 : Epoch  2, Batch    585, Loss  0.880035, Average Loss  0.873310, Time  0.265360
2021-09-15 19:17:23.432976 : Epoch  2, Batch    586, Loss  0.877762, Average Loss  0.873281, Time  0.265478
2021-09-15 19:17:26.432001 : Epoch  2, Batch    587, Loss  0.841042, Average Loss  0.873154, Time  0.265213
2021-09-15 19:17:29.424816 : Epoch  2, Batch    588, Loss  0.874238, Average Loss  0.873207, Time  0.279782
2021-09-15 19:17:32.401636 : Epoch  2, Batch    589, Loss  0.871074, Average Loss  0.873093, Time  0.266051
2021-09-15 19:17:35.363900 : Epoch  2, Batch    590, Loss  0.861208, Average Loss  0.872990, Time  0.266098
2021-09-15 19:17:38.342956 : Epoch  2, Batch    591, Loss  0.872307, Average Loss  0.873004, Time  0.264973
2021-09-15 19:17:41.347659 : Epoch  2, Batch    592, Loss  0.845310, Average Loss  0.872742, Time  0.265838
2021-09-15 19:17:44.332466 : Epoch  2, Batch    593, Loss  0.879466, Average Loss  0.872734, Time  0.267580
2021-09-15 19:17:47.317881 : Epoch  2, Batch    594, Loss  0.875717, Average Loss  0.872775, Time  0.265044
2021-09-15 19:17:50.302203 : Epoch  2, Batch    595, Loss  0.886157, Average Loss  0.872854, Time  0.266596
2021-09-15 19:17:53.297451 : Epoch  2, Batch    596, Loss  0.870473, Average Loss  0.872854, Time  0.265467
2021-09-15 19:17:56.277607 : Epoch  2, Batch    597, Loss  0.866475, Average Loss  0.872802, Time  0.267098
2021-09-15 19:17:59.258220 : Epoch  2, Batch    598, Loss  0.861952, Average Loss  0.872751, Time  0.266352
2021-09-15 19:18:02.239826 : Epoch  2, Batch    599, Loss  0.851311, Average Loss  0.872693, Time  0.266497
2021-09-15 19:18:05.252789 : Epoch  2, Batch    600, Loss  0.884737, Average Loss  0.872728, Time  0.265779
2021-09-15 19:18:08.243305 : Epoch  2, Batch    601, Loss  0.899807, Average Loss  0.872782, Time  0.266790
2021-09-15 19:18:11.245327 : Epoch  2, Batch    602, Loss  0.871319, Average Loss  0.872791, Time  0.265807
2021-09-15 19:18:14.254594 : Epoch  2, Batch    603, Loss  0.858557, Average Loss  0.872677, Time  0.277748
2021-09-15 19:18:17.234981 : Epoch  2, Batch    604, Loss  0.882294, Average Loss  0.872629, Time  0.265674
2021-09-15 19:18:20.199309 : Epoch  2, Batch    605, Loss  0.869826, Average Loss  0.872564, Time  0.264968
2021-09-15 19:18:23.192861 : Epoch  2, Batch    606, Loss  0.873070, Average Loss  0.872566, Time  0.265250
2021-09-15 19:18:26.180916 : Epoch  2, Batch    607, Loss  0.873122, Average Loss  0.872548, Time  0.265476
2021-09-15 19:18:29.190181 : Epoch  2, Batch    608, Loss  0.875413, Average Loss  0.872578, Time  0.264848
2021-09-15 19:18:32.163757 : Epoch  2, Batch    609, Loss  0.874289, Average Loss  0.872592, Time  0.265085
2021-09-15 19:18:35.155984 : Epoch  2, Batch    610, Loss  0.849043, Average Loss  0.872531, Time  0.265476
2021-09-15 19:18:38.126398 : Epoch  2, Batch    611, Loss  0.900538, Average Loss  0.872677, Time  0.265283
2021-09-15 19:18:41.139098 : Epoch  2, Batch    612, Loss  0.877213, Average Loss  0.872655, Time  0.266506
2021-09-15 19:18:44.172668 : Epoch  2, Batch    613, Loss  0.875291, Average Loss  0.872640, Time  0.265789
2021-09-15 19:18:47.152992 : Epoch  2, Batch    614, Loss  0.849593, Average Loss  0.872508, Time  0.266086
2021-09-15 19:18:50.159275 : Epoch  2, Batch    615, Loss  0.879257, Average Loss  0.872497, Time  0.265948
2021-09-15 19:18:53.131472 : Epoch  2, Batch    616, Loss  0.875638, Average Loss  0.872520, Time  0.265883
2021-09-15 19:18:56.132934 : Epoch  2, Batch    617, Loss  0.874496, Average Loss  0.872423, Time  0.266387
2021-09-15 19:18:59.132922 : Epoch  2, Batch    618, Loss  0.863448, Average Loss  0.872323, Time  0.275039
2021-09-15 19:19:02.119558 : Epoch  2, Batch    619, Loss  0.883623, Average Loss  0.872414, Time  0.265821
2021-09-15 19:19:05.103514 : Epoch  2, Batch    620, Loss  0.857003, Average Loss  0.872315, Time  0.266696
2021-09-15 19:19:08.054966 : Epoch  2, Batch    621, Loss  0.884197, Average Loss  0.872376, Time  0.265483
2021-09-15 19:19:11.032079 : Epoch  2, Batch    622, Loss  0.870393, Average Loss  0.872374, Time  0.265943
2021-09-15 19:19:14.017266 : Epoch  2, Batch    623, Loss  0.885508, Average Loss  0.872507, Time  0.264818
2021-09-15 19:19:16.982214 : Epoch  2, Batch    624, Loss  0.884563, Average Loss  0.872588, Time  0.264915
2021-09-15 19:19:19.964487 : Epoch  2, Batch    625, Loss  0.867222, Average Loss  0.872481, Time  0.267217
2021-09-15 19:19:22.958216 : Epoch  2, Batch    626, Loss  0.896463, Average Loss  0.872537, Time  0.266173
2021-09-15 19:19:25.934635 : Epoch  2, Batch    627, Loss  0.850563, Average Loss  0.872389, Time  0.264765
2021-09-15 19:19:28.909755 : Epoch  2, Batch    628, Loss  0.872034, Average Loss  0.872413, Time  0.265774
2021-09-15 19:19:31.882073 : Epoch  2, Batch    629, Loss  0.868972, Average Loss  0.872368, Time  0.265766
2021-09-15 19:19:34.877936 : Epoch  2, Batch    630, Loss  0.886249, Average Loss  0.872422, Time  0.264944
2021-09-15 19:19:37.845535 : Epoch  2, Batch    631, Loss  0.868011, Average Loss  0.872422, Time  0.264985
2021-09-15 19:19:40.822299 : Epoch  2, Batch    632, Loss  0.846986, Average Loss  0.872326, Time  0.265231
2021-09-15 19:19:43.830470 : Epoch  2, Batch    633, Loss  0.854109, Average Loss  0.872306, Time  0.277383
2021-09-15 19:19:46.827336 : Epoch  2, Batch    634, Loss  0.874833, Average Loss  0.872430, Time  0.265900
2021-09-15 19:19:49.804337 : Epoch  2, Batch    635, Loss  0.878415, Average Loss  0.872530, Time  0.265904
2021-09-15 19:19:52.772122 : Epoch  2, Batch    636, Loss  0.901603, Average Loss  0.872701, Time  0.264699
2021-09-15 19:19:55.749058 : Epoch  2, Batch    637, Loss  0.879420, Average Loss  0.872764, Time  0.266804
2021-09-15 19:19:58.743157 : Epoch  2, Batch    638, Loss  0.863120, Average Loss  0.872767, Time  0.266658
2021-09-15 19:20:01.716482 : Epoch  2, Batch    639, Loss  0.868336, Average Loss  0.872849, Time  0.266291
2021-09-15 19:20:04.680758 : Epoch  2, Batch    640, Loss  0.860198, Average Loss  0.872750, Time  0.265876
2021-09-15 19:20:07.691922 : Epoch  2, Batch    641, Loss  0.901526, Average Loss  0.872794, Time  0.264293
2021-09-15 19:20:10.681133 : Epoch  2, Batch    642, Loss  0.864509, Average Loss  0.872821, Time  0.265204
2021-09-15 19:20:13.649330 : Epoch  2, Batch    643, Loss  0.889138, Average Loss  0.872964, Time  0.265871
2021-09-15 19:20:16.623593 : Epoch  2, Batch    644, Loss  0.867860, Average Loss  0.873016, Time  0.265348
2021-09-15 19:24:54.271012 : CheckPoint: Validation Loss  0.00030886, Best Loss  0.00029628
2021-09-15 19:24:57.247732 : Epoch  2, Batch    645, Loss  0.866478, Average Loss  0.873055, Time  0.267585
2021-09-15 19:25:00.210995 : Epoch  2, Batch    646, Loss  0.892642, Average Loss  0.873152, Time  0.264545
2021-09-15 19:25:03.195960 : Epoch  2, Batch    647, Loss  0.859833, Average Loss  0.873104, Time  0.265162
2021-09-15 19:25:06.173280 : Epoch  2, Batch    648, Loss  0.848074, Average Loss  0.872925, Time  0.266098
2021-09-15 19:25:09.176821 : Epoch  2, Batch    649, Loss  0.881183, Average Loss  0.872913, Time  0.265974
2021-09-15 19:25:12.171485 : Epoch  2, Batch    650, Loss  0.866359, Average Loss  0.872846, Time  0.279888
2021-09-15 19:25:15.161538 : Epoch  2, Batch    651, Loss  0.865062, Average Loss  0.872960, Time  0.265907
2021-09-15 19:25:18.141825 : Epoch  2, Batch    652, Loss  0.870113, Average Loss  0.872913, Time  0.265309
2021-09-15 19:25:21.143541 : Epoch  2, Batch    653, Loss  0.878198, Average Loss  0.872998, Time  0.266053
2021-09-15 19:25:24.114398 : Epoch  2, Batch    654, Loss  0.862965, Average Loss  0.872934, Time  0.264739
2021-09-15 19:25:27.093918 : Epoch  2, Batch    655, Loss  0.866540, Average Loss  0.872904, Time  0.265611
2021-09-15 19:25:30.073721 : Epoch  2, Batch    656, Loss  0.860189, Average Loss  0.872889, Time  0.265433
2021-09-15 19:25:33.061450 : Epoch  2, Batch    657, Loss  0.876828, Average Loss  0.872936, Time  0.267396
2021-09-15 19:25:36.054342 : Epoch  2, Batch    658, Loss  0.872620, Average Loss  0.872894, Time  0.265050
2021-09-15 19:25:39.055513 : Epoch  2, Batch    659, Loss  0.874965, Average Loss  0.872909, Time  0.266368
2021-09-15 19:25:42.058100 : Epoch  2, Batch    660, Loss  0.887363, Average Loss  0.872933, Time  0.265734
2021-09-15 19:25:45.037575 : Epoch  2, Batch    661, Loss  0.882769, Average Loss  0.872997, Time  0.266342
2021-09-15 19:25:48.021031 : Epoch  2, Batch    662, Loss  0.856324, Average Loss  0.873007, Time  0.264934
2021-09-15 19:25:50.997632 : Epoch  2, Batch    663, Loss  0.875490, Average Loss  0.872989, Time  0.264749
2021-09-15 19:25:53.995515 : Epoch  2, Batch    664, Loss  0.879629, Average Loss  0.873029, Time  0.265671
2021-09-15 19:25:56.981292 : Epoch  2, Batch    665, Loss  0.880704, Average Loss  0.873081, Time  0.276854
2021-09-15 19:25:59.962627 : Epoch  2, Batch    666, Loss  0.865138, Average Loss  0.873099, Time  0.265574
2021-09-15 19:26:02.942789 : Epoch  2, Batch    667, Loss  0.893655, Average Loss  0.873134, Time  0.265776
2021-09-15 19:26:05.932476 : Epoch  2, Batch    668, Loss  0.869681, Average Loss  0.873152, Time  0.265163
2021-09-15 19:26:08.902143 : Epoch  2, Batch    669, Loss  0.860484, Average Loss  0.873033, Time  0.265773
2021-09-15 19:26:11.883648 : Epoch  2, Batch    670, Loss  0.892267, Average Loss  0.873178, Time  0.265378
2021-09-15 19:26:14.886485 : Epoch  2, Batch    671, Loss  0.875403, Average Loss  0.873188, Time  0.265709
2021-09-15 19:26:17.873488 : Epoch  2, Batch    672, Loss  0.873773, Average Loss  0.873229, Time  0.265128
2021-09-15 19:26:20.897217 : Epoch  2, Batch    673, Loss  0.873501, Average Loss  0.873266, Time  0.266219
2021-09-15 19:26:23.914687 : Epoch  2, Batch    674, Loss  0.886513, Average Loss  0.873399, Time  0.265197
2021-09-15 19:26:26.924697 : Epoch  2, Batch    675, Loss  0.890191, Average Loss  0.873535, Time  0.265125
2021-09-15 19:26:29.946859 : Epoch  2, Batch    676, Loss  0.876178, Average Loss  0.873627, Time  0.265463
2021-09-15 19:26:32.951182 : Epoch  2, Batch    677, Loss  0.863068, Average Loss  0.873439, Time  0.267558
2021-09-15 19:26:35.933018 : Epoch  2, Batch    678, Loss  0.864226, Average Loss  0.873368, Time  0.265560
2021-09-15 19:26:38.936941 : Epoch  2, Batch    679, Loss  0.859900, Average Loss  0.873348, Time  0.265313
2021-09-15 19:26:41.932830 : Epoch  2, Batch    680, Loss  0.879493, Average Loss  0.873345, Time  0.280222
2021-09-15 19:26:44.931597 : Epoch  2, Batch    681, Loss  0.870821, Average Loss  0.873157, Time  0.266562
2021-09-15 19:26:47.950274 : Epoch  2, Batch    682, Loss  0.880122, Average Loss  0.873177, Time  0.265643
2021-09-15 19:26:50.949268 : Epoch  2, Batch    683, Loss  0.872771, Average Loss  0.873006, Time  0.265557
2021-09-15 19:26:53.924863 : Epoch  2, Batch    684, Loss  0.871631, Average Loss  0.873075, Time  0.265379
2021-09-15 19:26:56.905701 : Epoch  2, Batch    685, Loss  0.871214, Average Loss  0.873109, Time  0.264673
2021-09-15 19:26:59.887623 : Epoch  2, Batch    686, Loss  0.880600, Average Loss  0.873235, Time  0.265156
2021-09-15 19:27:02.913296 : Epoch  2, Batch    687, Loss  0.872261, Average Loss  0.873199, Time  0.265235
2021-09-15 19:27:05.915062 : Epoch  2, Batch    688, Loss  0.857267, Average Loss  0.873007, Time  0.265197
2021-09-15 19:27:08.900433 : Epoch  2, Batch    689, Loss  0.848633, Average Loss  0.872875, Time  0.265236
2021-09-15 19:27:11.897873 : Epoch  2, Batch    690, Loss  0.877379, Average Loss  0.873015, Time  0.265466
2021-09-15 19:27:14.891600 : Epoch  2, Batch    691, Loss  0.873456, Average Loss  0.872958, Time  0.266080
2021-09-15 19:27:17.916715 : Epoch  2, Batch    692, Loss  0.877036, Average Loss  0.873022, Time  0.265228
2021-09-15 19:27:20.891097 : Epoch  2, Batch    693, Loss  0.861905, Average Loss  0.872941, Time  0.264588
2021-09-15 19:27:23.865564 : Epoch  2, Batch    694, Loss  0.875750, Average Loss  0.873123, Time  0.265404
2021-09-15 19:27:26.851530 : Epoch  2, Batch    695, Loss  0.859637, Average Loss  0.873074, Time  0.271069
2021-09-15 19:27:29.839769 : Epoch  2, Batch    696, Loss  0.882782, Average Loss  0.873152, Time  0.265697
2021-09-15 19:27:32.821322 : Epoch  2, Batch    697, Loss  0.872186, Average Loss  0.873130, Time  0.266361
2021-09-15 19:27:35.832808 : Epoch  2, Batch    698, Loss  0.870626, Average Loss  0.873098, Time  0.267482
2021-09-15 19:27:38.820120 : Epoch  2, Batch    699, Loss  0.888335, Average Loss  0.873115, Time  0.266598
2021-09-15 19:27:41.799296 : Epoch  2, Batch    700, Loss  0.864997, Average Loss  0.873139, Time  0.266537
2021-09-15 19:27:44.808568 : Epoch  2, Batch    701, Loss  0.861540, Average Loss  0.873177, Time  0.265449
2021-09-15 19:27:47.817230 : Epoch  2, Batch    702, Loss  0.889959, Average Loss  0.873380, Time  0.265586
2021-09-15 19:27:50.795606 : Epoch  2, Batch    703, Loss  0.863329, Average Loss  0.873375, Time  0.265720
2021-09-15 19:27:53.773842 : Epoch  2, Batch    704, Loss  0.861324, Average Loss  0.873359, Time  0.265454
2021-09-15 19:27:56.745613 : Epoch  2, Batch    705, Loss  0.893649, Average Loss  0.873536, Time  0.264405
2021-09-15 19:27:59.716072 : Epoch  2, Batch    706, Loss  0.891669, Average Loss  0.873633, Time  0.264940
2021-09-15 19:28:02.694277 : Epoch  2, Batch    707, Loss  0.900811, Average Loss  0.873703, Time  0.264773
2021-09-15 19:28:05.702502 : Epoch  2, Batch    708, Loss  0.886638, Average Loss  0.873845, Time  0.266347
2021-09-15 19:28:08.673779 : Epoch  2, Batch    709, Loss  0.856798, Average Loss  0.873732, Time  0.264962
2021-09-15 19:28:11.665134 : Epoch  2, Batch    710, Loss  0.874811, Average Loss  0.873728, Time  0.265621
2021-09-15 19:28:14.649555 : Epoch  2, Batch    711, Loss  0.889215, Average Loss  0.873762, Time  0.271892
2021-09-15 19:28:17.638220 : Epoch  2, Batch    712, Loss  0.875457, Average Loss  0.873723, Time  0.265700
2021-09-15 19:28:20.618007 : Epoch  2, Batch    713, Loss  0.868134, Average Loss  0.873724, Time  0.265303
2021-09-15 19:28:23.593854 : Epoch  2, Batch    714, Loss  0.887515, Average Loss  0.873775, Time  0.265493
2021-09-15 19:28:26.586353 : Epoch  2, Batch    715, Loss  0.855048, Average Loss  0.873578, Time  0.264944
2021-09-15 19:28:29.566536 : Epoch  2, Batch    716, Loss  0.878522, Average Loss  0.873526, Time  0.266135
2021-09-15 19:28:32.563529 : Epoch  2, Batch    717, Loss  0.899875, Average Loss  0.873649, Time  0.266856
2021-09-15 19:28:35.557799 : Epoch  2, Batch    718, Loss  0.876367, Average Loss  0.873543, Time  0.265947
2021-09-15 19:28:38.554215 : Epoch  2, Batch    719, Loss  0.892999, Average Loss  0.873607, Time  0.265949
2021-09-15 19:28:41.545981 : Epoch  2, Batch    720, Loss  0.866822, Average Loss  0.873515, Time  0.266122
2021-09-15 19:28:44.536079 : Epoch  2, Batch    721, Loss  0.880773, Average Loss  0.873600, Time  0.266438
2021-09-15 19:28:47.545736 : Epoch  2, Batch    722, Loss  0.847773, Average Loss  0.873490, Time  0.265357
2021-09-15 19:28:50.526229 : Epoch  2, Batch    723, Loss  0.873178, Average Loss  0.873419, Time  0.265574
2021-09-15 19:28:53.539874 : Epoch  2, Batch    724, Loss  0.845992, Average Loss  0.873385, Time  0.265869
2021-09-15 19:28:56.559474 : Epoch  2, Batch    725, Loss  0.871749, Average Loss  0.873268, Time  0.266854
2021-09-15 19:28:59.575087 : Epoch  2, Batch    726, Loss  0.869414, Average Loss  0.873309, Time  0.274254
2021-09-15 19:29:02.553364 : Epoch  2, Batch    727, Loss  0.871944, Average Loss  0.873288, Time  0.266223
2021-09-15 19:29:05.531224 : Epoch  2, Batch    728, Loss  0.881717, Average Loss  0.873275, Time  0.265465
2021-09-15 19:29:08.536184 : Epoch  2, Batch    729, Loss  0.881876, Average Loss  0.873306, Time  0.265684
2021-09-15 19:29:11.536825 : Epoch  2, Batch    730, Loss  0.873291, Average Loss  0.873207, Time  0.266291
2021-09-15 19:29:14.518362 : Epoch  2, Batch    731, Loss  0.851815, Average Loss  0.873120, Time  0.265777
2021-09-15 19:29:17.531922 : Epoch  2, Batch    732, Loss  0.890360, Average Loss  0.873224, Time  0.265576
2021-09-15 19:29:20.543590 : Epoch  2, Batch    733, Loss  0.852865, Average Loss  0.873149, Time  0.265365
2021-09-15 19:29:23.521081 : Epoch  2, Batch    734, Loss  0.877883, Average Loss  0.873220, Time  0.264934
2021-09-15 19:29:26.496544 : Epoch  2, Batch    735, Loss  0.862661, Average Loss  0.873154, Time  0.266919
2021-09-15 19:29:29.484007 : Epoch  2, Batch    736, Loss  0.871501, Average Loss  0.873225, Time  0.265038
2021-09-15 19:29:32.468427 : Epoch  2, Batch    737, Loss  0.887587, Average Loss  0.873340, Time  0.266457
2021-09-15 19:29:35.459563 : Epoch  2, Batch    738, Loss  0.864264, Average Loss  0.873201, Time  0.267380
2021-09-15 19:29:38.446664 : Epoch  2, Batch    739, Loss  0.878413, Average Loss  0.873293, Time  0.266426
2021-09-15 19:29:41.447371 : Epoch  2, Batch    740, Loss  0.884726, Average Loss  0.873326, Time  0.266519
2021-09-15 19:29:44.432664 : Epoch  2, Batch    741, Loss  0.891499, Average Loss  0.873448, Time  0.276768
2021-09-15 19:29:47.420946 : Epoch  2, Batch    742, Loss  0.841693, Average Loss  0.873245, Time  0.266536
2021-09-15 19:29:50.423543 : Epoch  2, Batch    743, Loss  0.874463, Average Loss  0.873263, Time  0.266821
2021-09-15 19:29:53.398114 : Epoch  2, Batch    744, Loss  0.872523, Average Loss  0.873280, Time  0.265543
2021-09-15 19:34:31.526662 : CheckPoint: Validation Loss  0.00029935, Best Loss  0.00029628
2021-09-15 19:34:34.532995 : Epoch  2, Batch    745, Loss  0.881063, Average Loss  0.873326, Time  0.267873
2021-09-15 19:34:37.516239 : Epoch  2, Batch    746, Loss  0.857438, Average Loss  0.873174, Time  0.265463
2021-09-15 19:34:40.493728 : Epoch  2, Batch    747, Loss  0.850684, Average Loss  0.873055, Time  0.264453
2021-09-15 19:34:43.459403 : Epoch  2, Batch    748, Loss  0.880236, Average Loss  0.873087, Time  0.264990
2021-09-15 19:34:46.454329 : Epoch  2, Batch    749, Loss  0.860814, Average Loss  0.872976, Time  0.265561
2021-09-15 19:34:49.425516 : Epoch  2, Batch    750, Loss  0.878913, Average Loss  0.872920, Time  0.265174
2021-09-15 19:34:52.444380 : Epoch  2, Batch    751, Loss  0.863793, Average Loss  0.872756, Time  0.266070
2021-09-15 19:34:55.445528 : Epoch  2, Batch    752, Loss  0.857777, Average Loss  0.872706, Time  0.265556
2021-09-15 19:34:58.461515 : Epoch  2, Batch    753, Loss  0.878600, Average Loss  0.872758, Time  0.265266
2021-09-15 19:35:01.446561 : Epoch  2, Batch    754, Loss  0.877175, Average Loss  0.872746, Time  0.265138
2021-09-15 19:35:04.452618 : Epoch  2, Batch    755, Loss  0.888842, Average Loss  0.872855, Time  0.265556
2021-09-15 19:35:07.463825 : Epoch  2, Batch    756, Loss  0.885536, Average Loss  0.872942, Time  0.265772
2021-09-15 19:35:10.468069 : Epoch  2, Batch    757, Loss  0.857062, Average Loss  0.872849, Time  0.266752
2021-09-15 19:35:13.468047 : Epoch  2, Batch    758, Loss  0.869120, Average Loss  0.872833, Time  0.265950
2021-09-15 19:35:16.487218 : Epoch  2, Batch    759, Loss  0.886385, Average Loss  0.872899, Time  0.280606
2021-09-15 19:35:19.490306 : Epoch  2, Batch    760, Loss  0.872736, Average Loss  0.872779, Time  0.266898
2021-09-15 19:35:22.486644 : Epoch  2, Batch    761, Loss  0.897958, Average Loss  0.872853, Time  0.266080
2021-09-15 19:35:25.468974 : Epoch  2, Batch    762, Loss  0.878614, Average Loss  0.872946, Time  0.265698
2021-09-15 19:35:28.447725 : Epoch  2, Batch    763, Loss  0.885311, Average Loss  0.872972, Time  0.265381
2021-09-15 19:35:31.467120 : Epoch  2, Batch    764, Loss  0.862492, Average Loss  0.872847, Time  0.266064
2021-09-15 19:35:34.490876 : Epoch  2, Batch    765, Loss  0.867999, Average Loss  0.872850, Time  0.266099
2021-09-15 19:35:37.489155 : Epoch  2, Batch    766, Loss  0.875252, Average Loss  0.872785, Time  0.264831
2021-09-15 19:35:40.462649 : Epoch  2, Batch    767, Loss  0.904752, Average Loss  0.872875, Time  0.265354
2021-09-15 19:35:43.449318 : Epoch  2, Batch    768, Loss  0.870887, Average Loss  0.872901, Time  0.266460
2021-09-15 19:35:46.430415 : Epoch  2, Batch    769, Loss  0.870886, Average Loss  0.872891, Time  0.266278
2021-09-15 19:35:49.441811 : Epoch  2, Batch    770, Loss  0.900622, Average Loss  0.873166, Time  0.265298
2021-09-15 19:35:52.443855 : Epoch  2, Batch    771, Loss  0.889391, Average Loss  0.873275, Time  0.265386
2021-09-15 19:35:55.443259 : Epoch  2, Batch    772, Loss  0.860016, Average Loss  0.873240, Time  0.265236
2021-09-15 19:35:58.418148 : Epoch  2, Batch    773, Loss  0.869695, Average Loss  0.873149, Time  0.265925
2021-09-15 19:36:01.445389 : Epoch  2, Batch    774, Loss  0.880218, Average Loss  0.873277, Time  0.280355
2021-09-15 19:36:04.465297 : Epoch  2, Batch    775, Loss  0.859135, Average Loss  0.873203, Time  0.266222
2021-09-15 19:36:07.462225 : Epoch  2, Batch    776, Loss  0.869160, Average Loss  0.873120, Time  0.265675
2021-09-15 19:36:10.470416 : Epoch  2, Batch    777, Loss  0.873385, Average Loss  0.873105, Time  0.267166
2021-09-15 19:36:13.463495 : Epoch  2, Batch    778, Loss  0.850235, Average Loss  0.873064, Time  0.265298
2021-09-15 19:36:16.445064 : Epoch  2, Batch    779, Loss  0.885330, Average Loss  0.873173, Time  0.266608
2021-09-15 19:36:19.435044 : Epoch  2, Batch    780, Loss  0.867106, Average Loss  0.873143, Time  0.265489
2021-09-15 19:36:22.420717 : Epoch  2, Batch    781, Loss  0.890056, Average Loss  0.873284, Time  0.265484
2021-09-15 19:36:25.406811 : Epoch  2, Batch    782, Loss  0.872866, Average Loss  0.873320, Time  0.265593
2021-09-15 19:36:28.388981 : Epoch  2, Batch    783, Loss  0.857460, Average Loss  0.873227, Time  0.265172
2021-09-15 19:36:31.370054 : Epoch  2, Batch    784, Loss  0.903828, Average Loss  0.873314, Time  0.265957
2021-09-15 19:36:34.338451 : Epoch  2, Batch    785, Loss  0.880975, Average Loss  0.873319, Time  0.264755
2021-09-15 19:36:37.309499 : Epoch  2, Batch    786, Loss  0.880916, Average Loss  0.873334, Time  0.264804
2021-09-15 19:36:40.283695 : Epoch  2, Batch    787, Loss  0.851448, Average Loss  0.873387, Time  0.265021
2021-09-15 19:36:43.255525 : Epoch  2, Batch    788, Loss  0.876888, Average Loss  0.873400, Time  0.265607
2021-09-15 19:36:46.240164 : Epoch  2, Batch    789, Loss  0.896036, Average Loss  0.873525, Time  0.279436
2021-09-15 19:36:49.201093 : Epoch  2, Batch    790, Loss  0.869978, Average Loss  0.873568, Time  0.266912
2021-09-15 19:36:52.197290 : Epoch  2, Batch    791, Loss  0.866605, Average Loss  0.873540, Time  0.265945
2021-09-15 19:36:55.189465 : Epoch  2, Batch    792, Loss  0.864693, Average Loss  0.873637, Time  0.264898
2021-09-15 19:36:58.200327 : Epoch  2, Batch    793, Loss  0.850539, Average Loss  0.873492, Time  0.266306
2021-09-15 19:37:01.181966 : Epoch  2, Batch    794, Loss  0.849268, Average Loss  0.873360, Time  0.265042
2021-09-15 19:37:04.183811 : Epoch  2, Batch    795, Loss  0.888681, Average Loss  0.873373, Time  0.265820
2021-09-15 19:37:07.173975 : Epoch  2, Batch    796, Loss  0.851937, Average Loss  0.873280, Time  0.267062
2021-09-15 19:37:10.168563 : Epoch  2, Batch    797, Loss  0.890386, Average Loss  0.873399, Time  0.265263
2021-09-15 19:37:13.146830 : Epoch  2, Batch    798, Loss  0.861119, Average Loss  0.873395, Time  0.266161
2021-09-15 19:37:16.125942 : Epoch  2, Batch    799, Loss  0.858326, Average Loss  0.873430, Time  0.265744
2021-09-15 19:37:19.121012 : Epoch  2, Batch    800, Loss  0.863372, Average Loss  0.873324, Time  0.265664
2021-09-15 19:37:22.125742 : Epoch  2, Batch    801, Loss  0.888205, Average Loss  0.873266, Time  0.265992
2021-09-15 19:37:25.109654 : Epoch  2, Batch    802, Loss  0.878496, Average Loss  0.873301, Time  0.265192
2021-09-15 19:37:28.081377 : Epoch  2, Batch    803, Loss  0.868239, Average Loss  0.873350, Time  0.265207
2021-09-15 19:37:31.068804 : Epoch  2, Batch    804, Loss  0.840834, Average Loss  0.873143, Time  0.277447
2021-09-15 19:37:34.065188 : Epoch  2, Batch    805, Loss  0.866830, Average Loss  0.873128, Time  0.266519
2021-09-15 19:37:37.050710 : Epoch  2, Batch    806, Loss  0.879369, Average Loss  0.873159, Time  0.264672
2021-09-15 19:37:40.028263 : Epoch  2, Batch    807, Loss  0.886999, Average Loss  0.873228, Time  0.265639
2021-09-15 19:37:43.044002 : Epoch  2, Batch    808, Loss  0.871454, Average Loss  0.873209, Time  0.265999
2021-09-15 19:37:46.059909 : Epoch  2, Batch    809, Loss  0.880985, Average Loss  0.873242, Time  0.266031
2021-09-15 19:37:49.065406 : Epoch  2, Batch    810, Loss  0.872716, Average Loss  0.873360, Time  0.265751
2021-09-15 19:37:52.070738 : Epoch  2, Batch    811, Loss  0.866615, Average Loss  0.873191, Time  0.266924
2021-09-15 19:37:55.063120 : Epoch  2, Batch    812, Loss  0.863981, Average Loss  0.873125, Time  0.268267
2021-09-15 19:37:58.091501 : Epoch  2, Batch    813, Loss  0.870518, Average Loss  0.873101, Time  0.267185
2021-09-15 19:38:01.112254 : Epoch  2, Batch    814, Loss  0.863700, Average Loss  0.873171, Time  0.264901
2021-09-15 19:38:04.086577 : Epoch  2, Batch    815, Loss  0.866079, Average Loss  0.873105, Time  0.265584
2021-09-15 19:38:07.076709 : Epoch  2, Batch    816, Loss  0.865938, Average Loss  0.873057, Time  0.265346
2021-09-15 19:38:10.055492 : Epoch  2, Batch    817, Loss  0.881579, Average Loss  0.873092, Time  0.265350
2021-09-15 19:38:13.055808 : Epoch  2, Batch    818, Loss  0.893279, Average Loss  0.873242, Time  0.266696
2021-09-15 19:38:16.036063 : Epoch  2, Batch    819, Loss  0.881846, Average Loss  0.873233, Time  0.277030
2021-09-15 19:38:19.009691 : Epoch  2, Batch    820, Loss  0.869668, Average Loss  0.873296, Time  0.266277
2021-09-15 19:38:21.996934 : Epoch  2, Batch    821, Loss  0.897603, Average Loss  0.873363, Time  0.265345
2021-09-15 19:38:25.003830 : Epoch  2, Batch    822, Loss  0.886841, Average Loss  0.873445, Time  0.265869
2021-09-15 19:38:27.982357 : Epoch  2, Batch    823, Loss  0.856911, Average Loss  0.873302, Time  0.266081
2021-09-15 19:38:30.961246 : Epoch  2, Batch    824, Loss  0.850346, Average Loss  0.873131, Time  0.264700
2021-09-15 19:38:33.941644 : Epoch  2, Batch    825, Loss  0.868593, Average Loss  0.873138, Time  0.264742
2021-09-15 19:38:36.927000 : Epoch  2, Batch    826, Loss  0.891155, Average Loss  0.873111, Time  0.265380
2021-09-15 19:38:39.913953 : Epoch  2, Batch    827, Loss  0.861468, Average Loss  0.873166, Time  0.265882
2021-09-15 19:38:42.927849 : Epoch  2, Batch    828, Loss  0.867016, Average Loss  0.873141, Time  0.264637
2021-09-15 19:38:45.943701 : Epoch  2, Batch    829, Loss  0.883986, Average Loss  0.873216, Time  0.265270
2021-09-15 19:38:48.950962 : Epoch  2, Batch    830, Loss  0.861575, Average Loss  0.873093, Time  0.265071
2021-09-15 19:38:51.940753 : Epoch  2, Batch    831, Loss  0.876903, Average Loss  0.873137, Time  0.265692
2021-09-15 19:38:54.921409 : Epoch  2, Batch    832, Loss  0.887024, Average Loss  0.873337, Time  0.265102
2021-09-15 19:38:57.920255 : Epoch  2, Batch    833, Loss  0.846687, Average Loss  0.873300, Time  0.264852
2021-09-15 19:39:00.928823 : Epoch  2, Batch    834, Loss  0.892514, Average Loss  0.873389, Time  0.272016
2021-09-15 19:39:03.926989 : Epoch  2, Batch    835, Loss  0.878856, Average Loss  0.873391, Time  0.265583
2021-09-15 19:39:06.945338 : Epoch  2, Batch    836, Loss  0.885061, Average Loss  0.873308, Time  0.265805
2021-09-15 19:39:10.011014 : Epoch  2, Batch    837, Loss  0.886469, Average Loss  0.873343, Time  0.267053
2021-09-15 19:39:13.060898 : Epoch  2, Batch    838, Loss  0.874680, Average Loss  0.873401, Time  0.267232
2021-09-15 19:39:16.041070 : Epoch  2, Batch    839, Loss  0.873419, Average Loss  0.873427, Time  0.265436
2021-09-15 19:39:19.027765 : Epoch  2, Batch    840, Loss  0.867434, Average Loss  0.873463, Time  0.266368
2021-09-15 19:39:22.011728 : Epoch  2, Batch    841, Loss  0.889167, Average Loss  0.873401, Time  0.265850
2021-09-15 19:39:25.041273 : Epoch  2, Batch    842, Loss  0.847238, Average Loss  0.873315, Time  0.267583
2021-09-15 19:39:28.031312 : Epoch  2, Batch    843, Loss  0.854033, Average Loss  0.873139, Time  0.265609
2021-09-15 19:39:31.043415 : Epoch  2, Batch    844, Loss  0.888308, Average Loss  0.873241, Time  0.265282
2021-09-15 19:44:08.934723 : CheckPoint: Validation Loss  0.00029998, Best Loss  0.00029628
2021-09-15 19:44:11.919682 : Epoch  2, Batch    845, Loss  0.860835, Average Loss  0.873213, Time  0.267246
2021-09-15 19:44:14.892941 : Epoch  2, Batch    846, Loss  0.883748, Average Loss  0.873169, Time  0.266254
2021-09-15 19:44:17.895742 : Epoch  2, Batch    847, Loss  0.855041, Average Loss  0.873145, Time  0.265249
2021-09-15 19:44:20.867901 : Epoch  2, Batch    848, Loss  0.854463, Average Loss  0.873177, Time  0.264962
2021-09-15 19:44:23.857404 : Epoch  2, Batch    849, Loss  0.899644, Average Loss  0.873269, Time  0.277132
2021-09-15 19:44:26.840167 : Epoch  2, Batch    850, Loss  0.847829, Average Loss  0.873176, Time  0.265904
2021-09-15 19:44:29.809002 : Epoch  2, Batch    851, Loss  0.883995, Average Loss  0.873271, Time  0.265504
2021-09-15 19:44:32.781515 : Epoch  2, Batch    852, Loss  0.869316, Average Loss  0.873267, Time  0.265337
2021-09-15 19:44:35.767879 : Epoch  2, Batch    853, Loss  0.878266, Average Loss  0.873267, Time  0.264584
2021-09-15 19:44:38.754692 : Epoch  2, Batch    854, Loss  0.851720, Average Loss  0.873211, Time  0.265628
2021-09-15 19:44:41.767484 : Epoch  2, Batch    855, Loss  0.880038, Average Loss  0.873279, Time  0.265450
2021-09-15 19:44:44.752051 : Epoch  2, Batch    856, Loss  0.860148, Average Loss  0.873278, Time  0.265164
2021-09-15 19:44:47.726885 : Epoch  2, Batch    857, Loss  0.860738, Average Loss  0.873198, Time  0.266976
2021-09-15 19:44:50.727837 : Epoch  2, Batch    858, Loss  0.877626, Average Loss  0.873223, Time  0.266846
2021-09-15 19:44:53.738443 : Epoch  2, Batch    859, Loss  0.877846, Average Loss  0.873237, Time  0.266642
2021-09-15 19:44:56.729397 : Epoch  2, Batch    860, Loss  0.874254, Average Loss  0.873172, Time  0.265692
2021-09-15 19:44:59.693296 : Epoch  2, Batch    861, Loss  0.879401, Average Loss  0.873155, Time  0.263541
2021-09-15 19:45:02.667283 : Epoch  2, Batch    862, Loss  0.863153, Average Loss  0.873189, Time  0.265303
2021-09-15 19:45:05.638381 : Epoch  2, Batch    863, Loss  0.865477, Average Loss  0.873139, Time  0.265072
2021-09-15 19:45:08.630473 : Epoch  2, Batch    864, Loss  0.889848, Average Loss  0.873190, Time  0.264835
2021-09-15 19:45:11.637666 : Epoch  2, Batch    865, Loss  0.887713, Average Loss  0.873225, Time  0.279970
2021-09-15 19:45:14.635322 : Epoch  2, Batch    866, Loss  0.866835, Average Loss  0.873234, Time  0.266593
2021-09-15 19:45:17.606054 : Epoch  2, Batch    867, Loss  0.891641, Average Loss  0.873224, Time  0.265214
2021-09-15 19:45:20.596433 : Epoch  2, Batch    868, Loss  0.887858, Average Loss  0.873314, Time  0.266757
2021-09-15 19:45:23.567732 : Epoch  2, Batch    869, Loss  0.865263, Average Loss  0.873338, Time  0.266290
2021-09-15 19:45:26.569839 : Epoch  2, Batch    870, Loss  0.873737, Average Loss  0.873246, Time  0.265716
2021-09-15 19:45:29.584039 : Epoch  2, Batch    871, Loss  0.876589, Average Loss  0.873252, Time  0.265985
2021-09-15 19:45:32.565197 : Epoch  2, Batch    872, Loss  0.880872, Average Loss  0.873287, Time  0.265095
2021-09-15 19:45:35.564036 : Epoch  2, Batch    873, Loss  0.856739, Average Loss  0.873203, Time  0.264749
2021-09-15 19:45:38.537302 : Epoch  2, Batch    874, Loss  0.870762, Average Loss  0.873125, Time  0.265890
2021-09-15 19:45:41.667352 : Epoch  2, Batch    875, Loss  0.889845, Average Loss  0.873123, Time  0.265560
2021-09-15 19:45:44.648754 : Epoch  2, Batch    876, Loss  0.848510, Average Loss  0.872984, Time  0.265587
2021-09-15 19:45:47.653674 : Epoch  2, Batch    877, Loss  0.878367, Average Loss  0.873061, Time  0.265913
2021-09-15 19:45:50.662443 : Epoch  2, Batch    878, Loss  0.873220, Average Loss  0.873106, Time  0.266561
2021-09-15 19:45:53.636823 : Epoch  2, Batch    879, Loss  0.865529, Average Loss  0.873134, Time  0.265648
2021-09-15 19:45:56.620266 : Epoch  2, Batch    880, Loss  0.889393, Average Loss  0.873184, Time  0.278347
2021-09-15 19:45:59.591553 : Epoch  2, Batch    881, Loss  0.878302, Average Loss  0.873221, Time  0.264724
2021-09-15 19:46:02.583260 : Epoch  2, Batch    882, Loss  0.848186, Average Loss  0.873061, Time  0.267316
2021-09-15 19:46:05.586137 : Epoch  2, Batch    883, Loss  0.878585, Average Loss  0.873090, Time  0.265512
2021-09-15 19:46:08.579103 : Epoch  2, Batch    884, Loss  0.900436, Average Loss  0.873234, Time  0.265562
2021-09-15 19:46:11.570970 : Epoch  2, Batch    885, Loss  0.870563, Average Loss  0.873231, Time  0.264941
2021-09-15 19:46:14.545200 : Epoch  2, Batch    886, Loss  0.877052, Average Loss  0.873213, Time  0.264658
2021-09-15 19:46:17.522548 : Epoch  2, Batch    887, Loss  0.864652, Average Loss  0.873175, Time  0.265038
2021-09-15 19:46:20.503036 : Epoch  2, Batch    888, Loss  0.865571, Average Loss  0.873217, Time  0.265827
2021-09-15 19:46:23.486201 : Epoch  2, Batch    889, Loss  0.850326, Average Loss  0.873225, Time  0.265251
2021-09-15 19:46:26.490816 : Epoch  2, Batch    890, Loss  0.864476, Average Loss  0.873161, Time  0.266623
2021-09-15 19:46:29.509231 : Epoch  2, Batch    891, Loss  0.882575, Average Loss  0.873206, Time  0.266176
2021-09-15 19:46:32.487741 : Epoch  2, Batch    892, Loss  0.848119, Average Loss  0.873062, Time  0.265420
2021-09-15 19:46:35.463980 : Epoch  2, Batch    893, Loss  0.856845, Average Loss  0.873037, Time  0.265343
2021-09-15 19:46:38.427654 : Epoch  2, Batch    894, Loss  0.866892, Average Loss  0.872992, Time  0.264816
2021-09-15 19:46:41.419413 : Epoch  2, Batch    895, Loss  0.873903, Average Loss  0.873064, Time  0.276414
2021-09-15 19:46:44.401758 : Epoch  2, Batch    896, Loss  0.878761, Average Loss  0.873043, Time  0.266845
2021-09-15 19:46:47.402495 : Epoch  2, Batch    897, Loss  0.878318, Average Loss  0.873074, Time  0.265837
2021-09-15 19:46:50.391591 : Epoch  2, Batch    898, Loss  0.874011, Average Loss  0.873091, Time  0.266307
2021-09-15 19:46:53.405075 : Epoch  2, Batch    899, Loss  0.859878, Average Loss  0.872949, Time  0.265609
2021-09-15 19:46:56.382126 : Epoch  2, Batch    900, Loss  0.859393, Average Loss  0.872921, Time  0.265596
2021-09-15 19:46:59.359226 : Epoch  2, Batch    901, Loss  0.858675, Average Loss  0.872906, Time  0.265948
2021-09-15 19:47:02.337849 : Epoch  2, Batch    902, Loss  0.863853, Average Loss  0.872776, Time  0.265003
2021-09-15 19:47:05.353045 : Epoch  2, Batch    903, Loss  0.881246, Average Loss  0.872865, Time  0.266154
2021-09-15 19:47:08.333416 : Epoch  2, Batch    904, Loss  0.882282, Average Loss  0.872970, Time  0.265550
2021-09-15 19:47:11.340813 : Epoch  2, Batch    905, Loss  0.891097, Average Loss  0.872958, Time  0.266631
2021-09-15 19:47:14.320212 : Epoch  2, Batch    906, Loss  0.864982, Average Loss  0.872824, Time  0.265129
2021-09-15 19:47:17.307153 : Epoch  2, Batch    907, Loss  0.897160, Average Loss  0.872806, Time  0.265655
2021-09-15 19:47:20.281955 : Epoch  2, Batch    908, Loss  0.852939, Average Loss  0.872637, Time  0.264875
2021-09-15 19:47:23.265998 : Epoch  2, Batch    909, Loss  0.891425, Average Loss  0.872810, Time  0.265011
2021-09-15 19:47:26.281080 : Epoch  2, Batch    910, Loss  0.852856, Average Loss  0.872701, Time  0.274412
2021-09-15 19:47:29.253013 : Epoch  2, Batch    911, Loss  0.892154, Average Loss  0.872715, Time  0.266375
2021-09-15 19:47:32.255106 : Epoch  2, Batch    912, Loss  0.857454, Average Loss  0.872625, Time  0.265929
2021-09-15 19:47:35.240780 : Epoch  2, Batch    913, Loss  0.861442, Average Loss  0.872592, Time  0.264369
2021-09-15 19:47:38.256570 : Epoch  2, Batch    914, Loss  0.865676, Average Loss  0.872483, Time  0.266145
2021-09-15 19:47:41.248904 : Epoch  2, Batch    915, Loss  0.858899, Average Loss  0.872502, Time  0.265336
2021-09-15 19:47:44.219890 : Epoch  2, Batch    916, Loss  0.858223, Average Loss  0.872401, Time  0.264845
2021-09-15 19:47:47.240576 : Epoch  2, Batch    917, Loss  0.880775, Average Loss  0.872305, Time  0.266019
2021-09-15 19:47:50.229202 : Epoch  2, Batch    918, Loss  0.862336, Average Loss  0.872235, Time  0.267633
2021-09-15 19:47:53.229116 : Epoch  2, Batch    919, Loss  0.876560, Average Loss  0.872153, Time  0.265872
2021-09-15 19:47:56.240717 : Epoch  2, Batch    920, Loss  0.872183, Average Loss  0.872179, Time  0.267143
2021-09-15 19:47:59.221526 : Epoch  2, Batch    921, Loss  0.871731, Average Loss  0.872134, Time  0.265362
2021-09-15 19:48:02.215640 : Epoch  2, Batch    922, Loss  0.880001, Average Loss  0.872295, Time  0.265427
2021-09-15 19:48:05.200015 : Epoch  2, Batch    923, Loss  0.870902, Average Loss  0.872284, Time  0.266188
2021-09-15 19:48:08.205264 : Epoch  2, Batch    924, Loss  0.872075, Average Loss  0.872414, Time  0.265631
2021-09-15 19:48:11.235017 : Epoch  2, Batch    925, Loss  0.857472, Average Loss  0.872343, Time  0.274701
2021-09-15 19:48:14.227452 : Epoch  2, Batch    926, Loss  0.881999, Average Loss  0.872406, Time  0.265376
2021-09-15 19:48:17.213864 : Epoch  2, Batch    927, Loss  0.883378, Average Loss  0.872463, Time  0.265376
2021-09-15 19:48:20.199515 : Epoch  2, Batch    928, Loss  0.881336, Average Loss  0.872461, Time  0.267540
2021-09-15 19:48:23.264023 : Epoch  2, Batch    929, Loss  0.890688, Average Loss  0.872505, Time  0.266388
2021-09-15 19:48:26.270688 : Epoch  2, Batch    930, Loss  0.882046, Average Loss  0.872549, Time  0.264552
2021-09-15 19:48:29.245380 : Epoch  2, Batch    931, Loss  0.859190, Average Loss  0.872586, Time  0.265354
2021-09-15 19:48:32.240126 : Epoch  2, Batch    932, Loss  0.871942, Average Loss  0.872494, Time  0.265441
2021-09-15 19:48:35.220817 : Epoch  2, Batch    933, Loss  0.883946, Average Loss  0.872649, Time  0.266587
2021-09-15 19:48:38.229472 : Epoch  2, Batch    934, Loss  0.867186, Average Loss  0.872596, Time  0.264837
2021-09-15 19:48:41.239833 : Epoch  2, Batch    935, Loss  0.868275, Average Loss  0.872624, Time  0.265845
2021-09-15 19:48:44.230276 : Epoch  2, Batch    936, Loss  0.851963, Average Loss  0.872526, Time  0.265840
2021-09-15 19:48:47.215903 : Epoch  2, Batch    937, Loss  0.874078, Average Loss  0.872459, Time  0.265628
2021-09-15 19:48:50.195808 : Epoch  2, Batch    938, Loss  0.877307, Average Loss  0.872524, Time  0.268628
2021-09-15 19:48:53.169650 : Epoch  2, Batch    939, Loss  0.855500, Average Loss  0.872409, Time  0.264555
2021-09-15 19:48:56.180135 : Epoch  2, Batch    940, Loss  0.856539, Average Loss  0.872268, Time  0.275496
2021-09-15 19:48:59.197811 : Epoch  2, Batch    941, Loss  0.888058, Average Loss  0.872251, Time  0.266833
2021-09-15 19:49:02.192813 : Epoch  2, Batch    942, Loss  0.850231, Average Loss  0.872294, Time  0.266830
2021-09-15 19:49:05.170608 : Epoch  2, Batch    943, Loss  0.862515, Average Loss  0.872234, Time  0.265876
2021-09-15 19:49:08.146410 : Epoch  2, Batch    944, Loss  0.868654, Average Loss  0.872215, Time  0.265278
2021-09-15 19:53:46.682713 : CheckPoint: Validation Loss  0.00030329, Best Loss  0.00029628
2021-09-15 19:53:49.681470 : Epoch  2, Batch    945, Loss  0.885952, Average Loss  0.872239, Time  0.267206
2021-09-15 19:53:52.690036 : Epoch  2, Batch    946, Loss  0.859390, Average Loss  0.872249, Time  0.265048
2021-09-15 19:53:55.682606 : Epoch  2, Batch    947, Loss  0.868302, Average Loss  0.872337, Time  0.264827
2021-09-15 19:53:58.641654 : Epoch  2, Batch    948, Loss  0.870304, Average Loss  0.872287, Time  0.264607
2021-09-15 19:54:01.615487 : Epoch  2, Batch    949, Loss  0.878509, Average Loss  0.872376, Time  0.265428
2021-09-15 19:54:04.623221 : Epoch  2, Batch    950, Loss  0.892948, Average Loss  0.872446, Time  0.266895
2021-09-15 19:54:07.618820 : Epoch  2, Batch    951, Loss  0.865217, Average Loss  0.872453, Time  0.265599
2021-09-15 19:54:10.600315 : Epoch  2, Batch    952, Loss  0.873525, Average Loss  0.872532, Time  0.265145
2021-09-15 19:54:13.593771 : Epoch  2, Batch    953, Loss  0.877240, Average Loss  0.872525, Time  0.265065
2021-09-15 19:54:16.570667 : Epoch  2, Batch    954, Loss  0.863751, Average Loss  0.872458, Time  0.265001
2021-09-15 19:54:19.572757 : Epoch  2, Batch    955, Loss  0.873927, Average Loss  0.872383, Time  0.274159
2021-09-15 19:54:22.560194 : Epoch  2, Batch    956, Loss  0.863346, Average Loss  0.872272, Time  0.266367
2021-09-15 19:54:25.540751 : Epoch  2, Batch    957, Loss  0.891530, Average Loss  0.872445, Time  0.266763
2021-09-15 19:54:28.522181 : Epoch  2, Batch    958, Loss  0.863471, Average Loss  0.872417, Time  0.265857
2021-09-15 19:54:31.515400 : Epoch  2, Batch    959, Loss  0.881772, Average Loss  0.872393, Time  0.266692
2021-09-15 19:54:34.504082 : Epoch  2, Batch    960, Loss  0.881915, Average Loss  0.872439, Time  0.265816
2021-09-15 19:54:37.479244 : Epoch  2, Batch    961, Loss  0.850615, Average Loss  0.872203, Time  0.265994
2021-09-15 19:54:40.467932 : Epoch  2, Batch    962, Loss  0.911165, Average Loss  0.872365, Time  0.265505
2021-09-15 19:54:43.447877 : Epoch  2, Batch    963, Loss  0.871300, Average Loss  0.872295, Time  0.266100
2021-09-15 19:54:46.461674 : Epoch  2, Batch    964, Loss  0.870297, Average Loss  0.872334, Time  0.266759
2021-09-15 19:54:49.458172 : Epoch  2, Batch    965, Loss  0.860635, Average Loss  0.872298, Time  0.265852
2021-09-15 19:54:52.435808 : Epoch  2, Batch    966, Loss  0.867508, Average Loss  0.872259, Time  0.264967
2021-09-15 19:54:55.410125 : Epoch  2, Batch    967, Loss  0.885136, Average Loss  0.872161, Time  0.265742
2021-09-15 19:54:58.391025 : Epoch  2, Batch    968, Loss  0.871466, Average Loss  0.872164, Time  0.265177
2021-09-15 19:55:01.441401 : Epoch  2, Batch    969, Loss  0.876429, Average Loss  0.872191, Time  0.266280
2021-09-15 19:55:04.519291 : Epoch  2, Batch    970, Loss  0.854110, Average Loss  0.871959, Time  0.276682
2021-09-15 19:55:07.567926 : Epoch  2, Batch    971, Loss  0.881795, Average Loss  0.871921, Time  0.268121
2021-09-15 19:55:10.564680 : Epoch  2, Batch    972, Loss  0.874701, Average Loss  0.871994, Time  0.266419
2021-09-15 19:55:13.557862 : Epoch  2, Batch    973, Loss  0.893969, Average Loss  0.872116, Time  0.265138
2021-09-15 19:55:16.542624 : Epoch  2, Batch    974, Loss  0.879539, Average Loss  0.872112, Time  0.265498
2021-09-15 19:55:19.551910 : Epoch  2, Batch    975, Loss  0.864480, Average Loss  0.872139, Time  0.265882
2021-09-15 19:55:22.532593 : Epoch  2, Batch    976, Loss  0.892272, Average Loss  0.872254, Time  0.265404
2021-09-15 19:55:25.553280 : Epoch  2, Batch    977, Loss  0.874808, Average Loss  0.872262, Time  0.266630
2021-09-15 19:55:28.526625 : Epoch  2, Batch    978, Loss  0.861147, Average Loss  0.872316, Time  0.266217
2021-09-15 19:55:31.526877 : Epoch  2, Batch    979, Loss  0.853970, Average Loss  0.872159, Time  0.267935
2021-09-15 19:55:34.552716 : Epoch  2, Batch    980, Loss  0.886918, Average Loss  0.872258, Time  0.267138
2021-09-15 19:55:37.556590 : Epoch  2, Batch    981, Loss  0.860222, Average Loss  0.872109, Time  0.265664
2021-09-15 19:55:40.545382 : Epoch  2, Batch    982, Loss  0.879000, Average Loss  0.872140, Time  0.266096
2021-09-15 19:55:43.521407 : Epoch  2, Batch    983, Loss  0.869904, Average Loss  0.872202, Time  0.265311
2021-09-15 19:55:46.493348 : Epoch  2, Batch    984, Loss  0.871382, Average Loss  0.872040, Time  0.265073
2021-09-15 19:55:49.480387 : Epoch  2, Batch    985, Loss  0.886481, Average Loss  0.872067, Time  0.275218
2021-09-15 19:55:52.466060 : Epoch  2, Batch    986, Loss  0.877542, Average Loss  0.872051, Time  0.265700
2021-09-15 19:55:55.466257 : Epoch  2, Batch    987, Loss  0.872379, Average Loss  0.872155, Time  0.265770
2021-09-15 19:55:58.463903 : Epoch  2, Batch    988, Loss  0.880793, Average Loss  0.872175, Time  0.264876
2021-09-15 19:56:01.435689 : Epoch  2, Batch    989, Loss  0.879201, Average Loss  0.872091, Time  0.264420
2021-09-15 19:56:04.389942 : Epoch  2, Batch    990, Loss  0.851932, Average Loss  0.872000, Time  0.265160
2021-09-15 19:56:07.369076 : Epoch  2, Batch    991, Loss  0.876548, Average Loss  0.872050, Time  0.265539
2021-09-15 19:56:10.361776 : Epoch  2, Batch    992, Loss  0.874643, Average Loss  0.872100, Time  0.265094
2021-09-15 19:56:13.334999 : Epoch  2, Batch    993, Loss  0.859951, Average Loss  0.872147, Time  0.264786
2021-09-15 19:56:16.327125 : Epoch  2, Batch    994, Loss  0.900478, Average Loss  0.872403, Time  0.266300
2021-09-15 19:56:19.332368 : Epoch  2, Batch    995, Loss  0.884866, Average Loss  0.872384, Time  0.265402
2021-09-15 19:56:22.305772 : Epoch  2, Batch    996, Loss  0.864253, Average Loss  0.872445, Time  0.265287
2021-09-15 19:56:25.285095 : Epoch  2, Batch    997, Loss  0.881825, Average Loss  0.872403, Time  0.265583
2021-09-15 19:56:28.303406 : Epoch  2, Batch    998, Loss  0.891376, Average Loss  0.872554, Time  0.267278
2021-09-15 19:56:31.344805 : Epoch  2, Batch    999, Loss  0.859856, Average Loss  0.872562, Time  0.266779
2021-09-15 19:56:34.362080 : Epoch  2, Batch   1000, Loss  0.870350, Average Loss  0.872596, Time  0.278073
2021-09-15 19:56:37.391687 : Epoch  2, Batch   1001, Loss  0.904174, Average Loss  0.872676, Time  0.266649
2021-09-15 19:56:40.408181 : Epoch  2, Batch   1002, Loss  0.847154, Average Loss  0.872520, Time  0.269145
2021-09-15 19:56:43.450605 : Epoch  2, Batch   1003, Loss  0.872747, Average Loss  0.872542, Time  0.266198
2021-09-15 19:56:46.472649 : Epoch  2, Batch   1004, Loss  0.880839, Average Loss  0.872742, Time  0.267034
2021-09-15 19:56:49.454537 : Epoch  2, Batch   1005, Loss  0.871212, Average Loss  0.872764, Time  0.266812
2021-09-15 19:56:52.446094 : Epoch  2, Batch   1006, Loss  0.860157, Average Loss  0.872668, Time  0.264670
2021-09-15 19:56:55.425967 : Epoch  2, Batch   1007, Loss  0.899624, Average Loss  0.872731, Time  0.265569
2021-09-15 19:56:58.422277 : Epoch  2, Batch   1008, Loss  0.864130, Average Loss  0.872694, Time  0.264314
2021-09-15 19:57:01.386901 : Epoch  2, Batch   1009, Loss  0.864166, Average Loss  0.872610, Time  0.266440
2021-09-15 19:57:04.407830 : Epoch  2, Batch   1010, Loss  0.868719, Average Loss  0.872590, Time  0.265894
2021-09-15 19:57:07.418798 : Epoch  2, Batch   1011, Loss  0.882613, Average Loss  0.872670, Time  0.265311
2021-09-15 19:57:10.395178 : Epoch  2, Batch   1012, Loss  0.868822, Average Loss  0.872695, Time  0.265042
2021-09-15 19:57:13.371367 : Epoch  2, Batch   1013, Loss  0.854654, Average Loss  0.872615, Time  0.265315
2021-09-15 19:57:16.349528 : Epoch  2, Batch   1014, Loss  0.844329, Average Loss  0.872518, Time  0.264847
2021-09-15 19:57:19.371096 : Epoch  2, Batch   1015, Loss  0.888917, Average Loss  0.872633, Time  0.276035
2021-09-15 19:57:22.393336 : Epoch  2, Batch   1016, Loss  0.853722, Average Loss  0.872572, Time  0.266408
2021-09-15 19:57:25.370530 : Epoch  2, Batch   1017, Loss  0.866148, Average Loss  0.872494, Time  0.265191
2021-09-15 19:57:28.370393 : Epoch  2, Batch   1018, Loss  0.880362, Average Loss  0.872430, Time  0.267683
2021-09-15 19:57:31.349696 : Epoch  2, Batch   1019, Loss  0.897608, Average Loss  0.872509, Time  0.265453
2021-09-15 19:57:34.324703 : Epoch  2, Batch   1020, Loss  0.857939, Average Loss  0.872450, Time  0.266432
2021-09-15 19:57:37.300769 : Epoch  2, Batch   1021, Loss  0.858921, Average Loss  0.872257, Time  0.265692
2021-09-15 19:57:40.314768 : Epoch  2, Batch   1022, Loss  0.891785, Average Loss  0.872281, Time  0.265574
2021-09-15 19:57:43.311158 : Epoch  2, Batch   1023, Loss  0.878465, Average Loss  0.872389, Time  0.265305
2021-09-15 19:57:46.298873 : Epoch  2, Batch   1024, Loss  0.883472, Average Loss  0.872555, Time  0.266795
2021-09-15 19:57:49.276409 : Epoch  2, Batch   1025, Loss  0.868747, Average Loss  0.872555, Time  0.265641
2021-09-15 19:57:52.260014 : Epoch  2, Batch   1026, Loss  0.867051, Average Loss  0.872435, Time  0.265706
2021-09-15 19:57:55.279766 : Epoch  2, Batch   1027, Loss  0.867297, Average Loss  0.872464, Time  0.265954
2021-09-15 19:57:58.319981 : Epoch  2, Batch   1028, Loss  0.881034, Average Loss  0.872534, Time  0.268805
2021-09-15 19:58:01.350086 : Epoch  2, Batch   1029, Loss  0.870289, Average Loss  0.872466, Time  0.267857
2021-09-15 19:58:04.362782 : Epoch  2, Batch   1030, Loss  0.874381, Average Loss  0.872530, Time  0.273218
2021-09-15 19:58:07.364735 : Epoch  2, Batch   1031, Loss  0.871847, Average Loss  0.872504, Time  0.267523
2021-09-15 19:58:10.360371 : Epoch  2, Batch   1032, Loss  0.888445, Average Loss  0.872512, Time  0.267193
2021-09-15 19:58:13.353210 : Epoch  2, Batch   1033, Loss  0.872442, Average Loss  0.872640, Time  0.267244
2021-09-15 19:58:16.354046 : Epoch  2, Batch   1034, Loss  0.850986, Average Loss  0.872433, Time  0.265547
2021-09-15 19:58:19.346354 : Epoch  2, Batch   1035, Loss  0.880957, Average Loss  0.872443, Time  0.265309
2021-09-15 19:58:22.321943 : Epoch  2, Batch   1036, Loss  0.879747, Average Loss  0.872417, Time  0.265270
2021-09-15 19:58:25.307521 : Epoch  2, Batch   1037, Loss  0.872108, Average Loss  0.872345, Time  0.264984
2021-09-15 19:58:28.286619 : Epoch  2, Batch   1038, Loss  0.893160, Average Loss  0.872437, Time  0.267262
2021-09-15 19:58:31.265976 : Epoch  2, Batch   1039, Loss  0.865839, Average Loss  0.872399, Time  0.265767
2021-09-15 19:58:34.259452 : Epoch  2, Batch   1040, Loss  0.861537, Average Loss  0.872370, Time  0.266133
2021-09-15 19:58:37.247421 : Epoch  2, Batch   1041, Loss  0.881270, Average Loss  0.872330, Time  0.265679
2021-09-15 19:58:40.228127 : Epoch  2, Batch   1042, Loss  0.871848, Average Loss  0.872453, Time  0.265481
2021-09-15 19:58:43.248045 : Epoch  2, Batch   1043, Loss  0.859301, Average Loss  0.872480, Time  0.267193
2021-09-15 19:58:46.252839 : Epoch  2, Batch   1044, Loss  0.872484, Average Loss  0.872401, Time  0.266026
2021-09-15 20:02:26.982980 : Building dataset train from orignial text documents
2021-09-15 20:02:51.835245 : Finish Loading dataset train
2021-09-15 20:02:51.869579 : Data Shuffle
2021-09-15 20:02:51.905782 : Start Shuffling
2021-09-15 20:02:52.848034 : Finish Shuffling
2021-09-15 20:02:52.930648 : Generate Batch
2021-09-15 20:02:53.239929 : Building dataset valid from orignial text documents
2021-09-15 20:02:54.317715 : Finish Loading dataset valid
2021-09-15 20:02:54.350578 : Data Shuffle
2021-09-15 20:02:54.392550 : Start Shuffling
2021-09-15 20:02:54.476905 : Finish Shuffling
2021-09-15 20:02:54.517581 : Generate Batch
2021-09-15 20:02:54.583841 : There are 787 batches per epoch
2021-09-15 20:02:54.624832 : Batch Shuffled
2021-09-15 20:02:56.711635 : Epoch  1, Batch      1, Loss  1.147123, Average Loss  1.147123, Time  0.813287
2021-09-15 20:02:58.231707 : Epoch  1, Batch      2, Loss  1.139387, Average Loss  1.143255, Time  0.253665
2021-09-15 20:02:59.753783 : Epoch  1, Batch      3, Loss  1.147160, Average Loss  1.144557, Time  0.242257
2021-09-15 20:03:01.293566 : Epoch  1, Batch      4, Loss  1.140604, Average Loss  1.143568, Time  0.239827
2021-09-15 20:03:02.836824 : Epoch  1, Batch      5, Loss  1.139308, Average Loss  1.142716, Time  0.239033
2021-09-15 20:03:04.365690 : Epoch  1, Batch      6, Loss  1.131106, Average Loss  1.140781, Time  0.237760
2021-09-15 20:03:05.879150 : Epoch  1, Batch      7, Loss  1.125998, Average Loss  1.138670, Time  0.239714
2021-09-15 20:03:07.401460 : Epoch  1, Batch      8, Loss  1.123346, Average Loss  1.136754, Time  0.240946
2021-09-15 20:03:08.932780 : Epoch  1, Batch      9, Loss  1.117409, Average Loss  1.134605, Time  0.237697
2021-09-15 20:03:10.456440 : Epoch  1, Batch     10, Loss  1.110864, Average Loss  1.132231, Time  0.239177
2021-09-15 20:03:11.976848 : Epoch  1, Batch     11, Loss  1.105422, Average Loss  1.129793, Time  0.239571
2021-09-15 20:03:13.494350 : Epoch  1, Batch     12, Loss  1.097014, Average Loss  1.127062, Time  0.238853
2021-09-15 20:03:15.021806 : Epoch  1, Batch     13, Loss  1.093553, Average Loss  1.124484, Time  0.236299
2021-09-15 20:03:16.547274 : Epoch  1, Batch     14, Loss  1.080036, Average Loss  1.121309, Time  0.238836
2021-09-15 20:03:18.067953 : Epoch  1, Batch     15, Loss  1.070699, Average Loss  1.117935, Time  0.239516
2021-09-15 20:03:19.590148 : Epoch  1, Batch     16, Loss  1.062777, Average Loss  1.114488, Time  0.237421
2021-09-15 20:03:21.113432 : Epoch  1, Batch     17, Loss  1.059009, Average Loss  1.111225, Time  0.236747
2021-09-15 20:03:22.635240 : Epoch  1, Batch     18, Loss  1.042382, Average Loss  1.107400, Time  0.238366
2021-09-15 20:03:24.153783 : Epoch  1, Batch     19, Loss  1.044384, Average Loss  1.104083, Time  0.239068
2021-09-15 20:03:25.683389 : Epoch  1, Batch     20, Loss  1.035770, Average Loss  1.100668, Time  0.255397
                                                                                            2021-09-15 20:03:27.203109 : Epoch  1, Batch     21, Loss  1.025962, Average Loss  1.097110, Time  0.238220
2021-09-15 20:03:28.723875 : Epoch  1, Batch     22, Loss  1.027901, Average Loss  1.093964, Time  0.239542
                                                                                                            2021-09-15 20:03:30.252756 : Epoch  1, Batch     23, Loss  1.011156, Average Loss  1.090364, Time  0.239291
2021-09-15 20:03:31.773902 : Epoch  1, Batch     24, Loss  1.012276, Average Loss  1.087110, Time  0.238284
                                                                                                            2021-09-15 20:03:33.296913 : Epoch  1, Batch     25, Loss  1.000996, Average Loss  1.083666, Time  0.237790
2021-09-15 20:03:34.816259 : Epoch  1, Batch     26, Loss  1.002023, Average Loss  1.080526, Time  0.238332
                                                                                                            2021-09-15 20:03:36.345836 : Epoch  1, Batch     27, Loss  0.991938, Average Loss  1.077245, Time  0.238617
2021-09-15 20:03:37.865767 : Epoch  1, Batch     28, Loss  0.995075, Average Loss  1.074310, Time  0.241616
                                                                                                            2021-09-15 20:03:39.386216 : Epoch  1, Batch     29, Loss  0.990602, Average Loss  1.071423, Time  0.237745
2021-09-15 20:03:40.901193 : Epoch  1, Batch     30, Loss  0.985536, Average Loss  1.068561, Time  0.240053
                                                                                                            2021-09-15 20:03:42.413826 : Epoch  1, Batch     31, Loss  0.980618, Average Loss  1.065724, Time  0.236804
2021-09-15 20:03:43.930280 : Epoch  1, Batch     32, Loss  0.980561, Average Loss  1.063062, Time  0.237614
                                                                                                            2021-09-15 20:03:45.442413 : Epoch  1, Batch     33, Loss  0.983662, Average Loss  1.060656, Time  0.237327
2021-09-15 20:03:46.961093 : Epoch  1, Batch     34, Loss  0.972197, Average Loss  1.058055, Time  0.237751
                                                                                                            2021-09-15 20:03:48.473280 : Epoch  1, Batch     35, Loss  0.971625, Average Loss  1.055585, Time  0.237881
2021-09-15 20:03:49.987366 : Epoch  1, Batch     36, Loss  0.968043, Average Loss  1.053153, Time  0.237404
                                                                                                            2021-09-15 20:03:51.491874 : Epoch  1, Batch     37, Loss  0.971053, Average Loss  1.050935, Time  0.238892
2021-09-15 20:03:51.653793 : Epoch  1, Batch     38, Loss  0.944852, Average Loss  1.048143, Time  0.114490
2021-09-15 20:03:53.173807 : Epoch  1, Batch     39, Loss  0.963984, Average Loss  1.045985, Time  0.239460
                                                                                                            2021-09-15 20:03:54.684763 : Epoch  1, Batch     40, Loss  0.963133, Average Loss  1.043914, Time  0.238293
2021-09-15 20:03:56.289797 : Epoch  1, Batch     41, Loss  0.964926, Average Loss  1.041987, Time  0.239149
2021-09-15 20:03:57.841735 : Epoch  1, Batch     42, Loss  0.961063, Average Loss  1.040060, Time  0.238366
                                                                                                            2021-09-15 20:03:59.364091 : Epoch  1, Batch     43, Loss  0.969503, Average Loss  1.038420, Time  0.237379
2021-09-15 20:04:00.892423 : Epoch  1, Batch     44, Loss  0.969938, Average Loss  1.036863, Time  0.238677
                                                                                                            2021-09-15 20:04:02.400212 : Epoch  1, Batch     45, Loss  0.959747, Average Loss  1.035149, Time  0.234646
2021-09-15 20:04:03.901301 : Epoch  1, Batch     46, Loss  0.963288, Average Loss  1.033587, Time  0.237280
                                                                                                            2021-09-15 20:04:05.403252 : Epoch  1, Batch     47, Loss  0.964355, Average Loss  1.032114, Time  0.233796
2021-09-15 20:04:06.906828 : Epoch  1, Batch     48, Loss  0.956194, Average Loss  1.030532, Time  0.238583
                                                                                                            2021-09-15 20:04:08.412034 : Epoch  1, Batch     49, Loss  0.957529, Average Loss  1.029043, Time  0.234437
2021-09-15 20:04:09.910982 : Epoch  1, Batch     50, Loss  0.956000, Average Loss  1.027582, Time  0.234087
                                                                                                            2021-09-15 20:04:11.442776 : Epoch  1, Batch     51, Loss  0.949526, Average Loss  1.026051, Time  0.235881
2021-09-15 20:04:12.959094 : Epoch  1, Batch     52, Loss  0.956476, Average Loss  1.024713, Time  0.234278
                                                                                                            2021-09-15 20:04:14.468253 : Epoch  1, Batch     53, Loss  0.949431, Average Loss  1.023293, Time  0.234144
2021-09-15 20:04:15.967286 : Epoch  1, Batch     54, Loss  0.950177, Average Loss  1.021939, Time  0.234159
                                                                                                            2021-09-15 20:04:17.478411 : Epoch  1, Batch     55, Loss  0.955613, Average Loss  1.020733, Time  0.236983
2021-09-15 20:04:18.983739 : Epoch  1, Batch     56, Loss  0.952159, Average Loss  1.019508, Time  0.234237
                                                                                                            2021-09-15 20:04:20.498012 : Epoch  1, Batch     57, Loss  0.958734, Average Loss  1.018442, Time  0.246595
2021-09-15 20:04:21.991514 : Epoch  1, Batch     58, Loss  0.951244, Average Loss  1.017284, Time  0.235863
                                                                                                            2021-09-15 20:04:23.506266 : Epoch  1, Batch     59, Loss  0.951508, Average Loss  1.016169, Time  0.238803
2021-09-15 20:04:25.006098 : Epoch  1, Batch     60, Loss  0.955825, Average Loss  1.015163, Time  0.237418
                                                                                                            2021-09-15 20:04:26.516039 : Epoch  1, Batch     61, Loss  0.947237, Average Loss  1.014049, Time  0.238291
2021-09-15 20:04:28.014975 : Epoch  1, Batch     62, Loss  0.946713, Average Loss  1.012963, Time  0.234467
                                                                                                            2021-09-15 20:04:29.517751 : Epoch  1, Batch     63, Loss  0.952592, Average Loss  1.012005, Time  0.235459
2021-09-15 20:04:31.009717 : Epoch  1, Batch     64, Loss  0.949383, Average Loss  1.011027, Time  0.235166
                                                                                                            2021-09-15 20:04:32.509061 : Epoch  1, Batch     65, Loss  0.941736, Average Loss  1.009961, Time  0.236025
2021-09-15 20:04:34.014019 : Epoch  1, Batch     66, Loss  0.948282, Average Loss  1.009026, Time  0.234621
                                                                                                            2021-09-15 20:04:35.515997 : Epoch  1, Batch     67, Loss  0.943210, Average Loss  1.008044, Time  0.234420
2021-09-15 20:04:37.013014 : Epoch  1, Batch     68, Loss  0.944036, Average Loss  1.007103, Time  0.234084
                                                                                                            2021-09-15 20:04:38.529449 : Epoch  1, Batch     69, Loss  0.944165, Average Loss  1.006190, Time  0.234567
2021-09-15 20:04:40.029074 : Epoch  1, Batch     70, Loss  0.952168, Average Loss  1.005419, Time  0.234228
                                                                                                            2021-09-15 20:04:41.536724 : Epoch  1, Batch     71, Loss  0.941166, Average Loss  1.004514, Time  0.234767
2021-09-15 20:04:43.029002 : Epoch  1, Batch     72, Loss  0.947480, Average Loss  1.003722, Time  0.234532
                                                                                                            2021-09-15 20:04:44.533859 : Epoch  1, Batch     73, Loss  0.946341, Average Loss  1.002935, Time  0.233762
2021-09-15 20:04:46.027794 : Epoch  1, Batch     74, Loss  0.940810, Average Loss  1.002096, Time  0.233624
                                                                                                            2021-09-15 20:04:47.533185 : Epoch  1, Batch     75, Loss  0.938131, Average Loss  1.001243, Time  0.233775
2021-09-15 20:04:49.029079 : Epoch  1, Batch     76, Loss  0.940198, Average Loss  1.000440, Time  0.233996
                                                                                                            2021-09-15 20:04:50.542257 : Epoch  1, Batch     77, Loss  0.932971, Average Loss  0.999564, Time  0.238054
2021-09-15 20:04:52.037001 : Epoch  1, Batch     78, Loss  0.935107, Average Loss  0.998737, Time  0.234433
2021-09-15 20:04:53.243033 : Epoch  2, Batch   1073, Loss  0.885788, Average Loss  0.872915, Time  0.265777
2021-09-15 20:04:53.539980 : Epoch  1, Batch     79, Loss  0.932340, Average Loss  0.997897, Time  0.233570
2021-09-15 20:04:55.047267 : Epoch  1, Batch     80, Loss  0.927540, Average Loss  0.997017, Time  0.235739
                                                                                                            2021-09-15 20:04:56.553825 : Epoch  1, Batch     81, Loss  0.922190, Average Loss  0.996094, Time  0.234616
2021-09-15 20:04:58.046106 : Epoch  1, Batch     82, Loss  0.921588, Average Loss  0.995185, Time  0.234180
                                                                                                            2021-09-15 20:04:59.647140 : Epoch  1, Batch     83, Loss  0.925820, Average Loss  0.994349, Time  0.234781
2021-09-15 20:05:01.147264 : Epoch  1, Batch     84, Loss  0.912414, Average Loss  0.993374, Time  0.235044
                                                                                                            2021-09-15 20:05:02.655655 : Epoch  1, Batch     85, Loss  0.916301, Average Loss  0.992467, Time  0.234430
2021-09-15 20:05:04.169513 : Epoch  1, Batch     86, Loss  0.904117, Average Loss  0.991440, Time  0.235509
                                                                                                            2021-09-15 20:05:05.680163 : Epoch  1, Batch     87, Loss  0.896768, Average Loss  0.990352, Time  0.234242
2021-09-15 20:05:07.180137 : Epoch  1, Batch     88, Loss  0.878548, Average Loss  0.989081, Time  0.235011
                                                                                                            2021-09-15 20:05:08.684881 : Epoch  1, Batch     89, Loss  0.859020, Average Loss  0.987620, Time  0.235729
2021-09-15 20:05:10.182152 : Epoch  1, Batch     90, Loss  0.850626, Average Loss  0.986098, Time  0.234998
                                                                                                            2021-09-15 20:05:11.706026 : Epoch  1, Batch     91, Loss  0.839367, Average Loss  0.984485, Time  0.252216
2021-09-15 20:05:13.213879 : Epoch  1, Batch     92, Loss  0.822632, Average Loss  0.982726, Time  0.236500
                                                                                                            2021-09-15 20:05:14.715108 : Epoch  1, Batch     93, Loss  0.822701, Average Loss  0.981005, Time  0.234892
2021-09-15 20:05:16.211272 : Epoch  1, Batch     94, Loss  0.834049, Average Loss  0.979442, Time  0.235222
                                                                                                            2021-09-15 20:05:17.713850 : Epoch  1, Batch     95, Loss  0.827943, Average Loss  0.977847, Time  0.234718
2021-09-15 20:05:19.214231 : Epoch  1, Batch     96, Loss  0.818499, Average Loss  0.976187, Time  0.234515
                                                                                                            2021-09-15 20:05:20.719990 : Epoch  1, Batch     97, Loss  0.821443, Average Loss  0.974592, Time  0.234682
2021-09-15 20:05:22.216554 : Epoch  1, Batch     98, Loss  0.815751, Average Loss  0.972971, Time  0.234621
                                                                                                            2021-09-15 20:05:23.725255 : Epoch  1, Batch     99, Loss  0.811925, Average Loss  0.971344, Time  0.234680
2021-09-15 20:05:25.231348 : Epoch  1, Batch    100, Loss  0.814745, Average Loss  0.969778, Time  0.234295
2021-09-15 20:05:26.283206 : Epoch  2, Batch   1084, Loss  0.871943, Average Loss  0.872533, Time  0.265205
2021-09-15 20:05:29.280022 : Epoch  2, Batch   1085, Loss  0.873789, Average Loss  0.872549, Time  0.265401
2021-09-15 20:05:32.264557 : Epoch  2, Batch   1086, Loss  0.861176, Average Loss  0.872469, Time  0.267841
2021-09-15 20:05:35.290850 : Epoch  2, Batch   1087, Loss  0.880746, Average Loss  0.872550, Time  0.266007
2021-09-15 20:05:38.289012 : Epoch  2, Batch   1088, Loss  0.870830, Average Loss  0.872576, Time  0.265856
2021-09-15 20:05:41.268651 : Epoch  2, Batch   1089, Loss  0.874389, Average Loss  0.872696, Time  0.265711
2021-09-15 20:05:44.273636 : Epoch  2, Batch   1090, Loss  0.886908, Average Loss  0.872809, Time  0.265686
2021-09-15 20:05:47.269777 : Epoch  2, Batch   1091, Loss  0.877092, Average Loss  0.872781, Time  0.275245
2021-09-15 20:05:50.253431 : Epoch  2, Batch   1092, Loss  0.886256, Average Loss  0.872972, Time  0.265607
2021-09-15 20:05:53.266510 : Epoch  2, Batch   1093, Loss  0.859918, Average Loss  0.872987, Time  0.265729
2021-09-15 20:05:56.276470 : Epoch  2, Batch   1094, Loss  0.875079, Average Loss  0.873028, Time  0.265610
2021-09-15 20:05:59.282755 : Epoch  2, Batch   1095, Loss  0.846248, Average Loss  0.872890, Time  0.266374
2021-09-15 20:06:02.280932 : Epoch  2, Batch   1096, Loss  0.879745, Average Loss  0.872895, Time  0.266162
2021-09-15 20:06:05.293690 : Epoch  2, Batch   1097, Loss  0.869012, Average Loss  0.872848, Time  0.265059
2021-09-15 20:06:08.271901 : Epoch  2, Batch   1098, Loss  0.878982, Average Loss  0.872873, Time  0.264807
2021-09-15 20:06:11.278334 : Epoch  2, Batch   1099, Loss  0.871843, Average Loss  0.872933, Time  0.265045
2021-09-15 20:06:14.255846 : Epoch  2, Batch   1100, Loss  0.856316, Average Loss  0.872917, Time  0.265450
2021-09-15 20:06:17.225348 : Epoch  2, Batch   1101, Loss  0.863746, Average Loss  0.872943, Time  0.267211
2021-09-15 20:06:20.235509 : Epoch  2, Batch   1102, Loss  0.881756, Average Loss  0.873032, Time  0.265304
2021-09-15 20:06:21.644723 : CheckPoint: Validation Loss  0.00034654, Best Loss  0.00034654
2021-09-15 20:06:21.691679 : Best Model Updated
                                                                                                            2021-09-15 20:06:24.000806 : Epoch  1, Batch    101, Loss  0.808631, Average Loss  0.968183, Time  0.237396
2021-09-15 20:06:25.515352 : Epoch  1, Batch    102, Loss  0.811064, Average Loss  0.966642, Time  0.236089
                                                                                                            2021-09-15 20:06:27.022276 : Epoch  1, Batch    103, Loss  0.810253, Average Loss  0.965124, Time  0.238289
2021-09-15 20:06:28.538918 : Epoch  1, Batch    104, Loss  0.809728, Average Loss  0.963630, Time  0.236985
                                                                                                            2021-09-15 20:06:30.063467 : Epoch  1, Batch    105, Loss  0.799174, Average Loss  0.962064, Time  0.235771
2021-09-15 20:06:31.590409 : Epoch  1, Batch    106, Loss  0.804005, Average Loss  0.960573, Time  0.237856
                                                                                                            2021-09-15 20:06:33.100065 : Epoch  1, Batch    107, Loss  0.802324, Average Loss  0.959094, Time  0.235593
2021-09-15 20:06:34.613899 : Epoch  1, Batch    108, Loss  0.791506, Average Loss  0.957542, Time  0.237057
                                                                                                            2021-09-15 20:06:36.168801 : Epoch  1, Batch    109, Loss  0.788729, Average Loss  0.955993, Time  0.236835
2021-09-15 20:06:37.666360 : Epoch  1, Batch    110, Loss  0.786151, Average Loss  0.954449, Time  0.235701
                                                                                                            2021-09-15 20:06:39.178744 : Epoch  1, Batch    111, Loss  0.777341, Average Loss  0.952854, Time  0.235252
2021-09-15 20:06:40.692390 : Epoch  1, Batch    112, Loss  0.772919, Average Loss  0.951247, Time  0.234650
                                                                                                            2021-09-15 20:06:42.211767 : Epoch  1, Batch    113, Loss  0.758634, Average Loss  0.949542, Time  0.234655
2021-09-15 20:06:43.717083 : Epoch  1, Batch    114, Loss  0.755452, Average Loss  0.947840, Time  0.235020
                                                                                                            2021-09-15 20:06:45.229240 : Epoch  1, Batch    115, Loss  0.753872, Average Loss  0.946153, Time  0.235679
2021-09-15 20:06:46.731516 : Epoch  1, Batch    116, Loss  0.742306, Average Loss  0.944396, Time  0.235475
                                                                                                            2021-09-15 20:06:48.248991 : Epoch  1, Batch    117, Loss  0.721316, Average Loss  0.942489, Time  0.234737
2021-09-15 20:06:49.759017 : Epoch  1, Batch    118, Loss  0.715599, Average Loss  0.940566, Time  0.235523
                                                                                                            2021-09-15 20:06:51.274050 : Epoch  1, Batch    119, Loss  0.714762, Average Loss  0.938669, Time  0.234549
2021-09-15 20:06:52.781202 : Epoch  1, Batch    120, Loss  0.699655, Average Loss  0.936677, Time  0.235027
                                                                                                            2021-09-15 20:06:54.281826 : Epoch  1, Batch    121, Loss  0.695325, Average Loss  0.934682, Time  0.234303
2021-09-15 20:06:55.786887 : Epoch  1, Batch    122, Loss  0.685943, Average Loss  0.932644, Time  0.234802
                                                                                                            2021-09-15 20:06:57.301732 : Epoch  1, Batch    123, Loss  0.681894, Average Loss  0.930605, Time  0.234244
2021-09-15 20:06:58.807588 : Epoch  1, Batch    124, Loss  0.671950, Average Loss  0.928519, Time  0.234449
                                                                                                            2021-09-15 20:07:00.402874 : Epoch  1, Batch    125, Loss  0.662201, Average Loss  0.926389, Time  0.234401
2021-09-15 20:07:01.920089 : Epoch  1, Batch    126, Loss  0.669320, Average Loss  0.924348, Time  0.234567
                                                                                                            2021-09-15 20:07:03.440463 : Epoch  1, Batch    127, Loss  0.654775, Average Loss  0.922226, Time  0.235045
2021-09-15 20:07:04.969467 : Epoch  1, Batch    128, Loss  0.656393, Average Loss  0.920149, Time  0.237887
                                                                                                            2021-09-15 20:07:06.482118 : Epoch  1, Batch    129, Loss  0.653172, Average Loss  0.918079, Time  0.234263
2021-09-15 20:07:07.991880 : Epoch  1, Batch    130, Loss  0.653841, Average Loss  0.916047, Time  0.234697
                                                                                                            2021-09-15 20:07:09.507425 : Epoch  1, Batch    131, Loss  0.657516, Average Loss  0.914073, Time  0.237592
2021-09-15 20:07:11.018420 : Epoch  1, Batch    132, Loss  0.652652, Average Loss  0.912093, Time  0.236557
                                                                                                            2021-09-15 20:07:12.533026 : Epoch  1, Batch    133, Loss  0.658862, Average Loss  0.910189, Time  0.237877
2021-09-15 20:07:14.038979 : Epoch  1, Batch    134, Loss  0.656329, Average Loss  0.908294, Time  0.238233
                                                                                                            2021-09-15 20:07:15.548142 : Epoch  1, Batch    135, Loss  0.654815, Average Loss  0.906417, Time  0.241996
2021-09-15 20:07:17.057970 : Epoch  1, Batch    136, Loss  0.641719, Average Loss  0.904470, Time  0.237333
                                                                                                            2021-09-15 20:07:18.573372 : Epoch  1, Batch    137, Loss  0.666455, Average Loss  0.902733, Time  0.236499
2021-09-15 20:07:20.086178 : Epoch  1, Batch    138, Loss  0.648992, Average Loss  0.900894, Time  0.238233
                                                                                                            2021-09-15 20:07:21.591883 : Epoch  1, Batch    139, Loss  0.661838, Average Loss  0.899174, Time  0.234769
2021-09-15 20:07:23.101027 : Epoch  1, Batch    140, Loss  0.649223, Average Loss  0.897389, Time  0.234907
                                                                                                            2021-09-15 20:07:24.619820 : Epoch  1, Batch    141, Loss  0.655203, Average Loss  0.895671, Time  0.235059
2021-09-15 20:07:26.141592 : Epoch  1, Batch    142, Loss  0.651961, Average Loss  0.893955, Time  0.235701
                                                                                                            2021-09-15 20:07:27.679077 : Epoch  1, Batch    143, Loss  0.660402, Average Loss  0.892322, Time  0.234392
2021-09-15 20:07:29.198437 : Epoch  1, Batch    144, Loss  0.657498, Average Loss  0.890691, Time  0.234558
                                                                                                            2021-09-15 20:07:30.717029 : Epoch  1, Batch    145, Loss  0.655010, Average Loss  0.889066, Time  0.234666
2021-09-15 20:07:32.230131 : Epoch  1, Batch    146, Loss  0.652335, Average Loss  0.887444, Time  0.235087
                                                                                                            2021-09-15 20:07:33.747245 : Epoch  1, Batch    147, Loss  0.660977, Average Loss  0.885904, Time  0.242627
2021-09-15 20:07:35.261859 : Epoch  1, Batch    148, Loss  0.654784, Average Loss  0.884342, Time  0.234406
                                                                                                            2021-09-15 20:07:36.863304 : Epoch  1, Batch    149, Loss  0.650707, Average Loss  0.882774, Time  0.234664
                                                                                                            2021-09-15 20:07:38.369203 : Epoch  1, Batch    150, Loss  0.651944, Average Loss  0.881235, Time  0.235152
2021-09-15 20:07:39.870755 : Epoch  1, Batch    151, Loss  0.654490, Average Loss  0.879734, Time  0.234400
                                                                                                            2021-09-15 20:07:41.389822 : Epoch  1, Batch    152, Loss  0.640382, Average Loss  0.878159, Time  0.234721
2021-09-15 20:07:42.899446 : Epoch  1, Batch    153, Loss  0.650135, Average Loss  0.876669, Time  0.234769
                                                                                                            2021-09-15 20:07:44.410888 : Epoch  1, Batch    154, Loss  0.656696, Average Loss  0.875240, Time  0.237198
2021-09-15 20:07:45.934573 : Epoch  1, Batch    155, Loss  0.652110, Average Loss  0.873801, Time  0.238430
                                                                                                            2021-09-15 20:07:47.450211 : Epoch  1, Batch    156, Loss  0.635288, Average Loss  0.872272, Time  0.236543
2021-09-15 20:07:48.957738 : Epoch  1, Batch    157, Loss  0.652514, Average Loss  0.870872, Time  0.238667
                                                                                                            2021-09-15 20:07:50.507554 : Epoch  1, Batch    158, Loss  0.644112, Average Loss  0.869437, Time  0.238747
2021-09-15 20:07:52.031559 : Epoch  1, Batch    159, Loss  0.662183, Average Loss  0.868133, Time  0.239292
                                                                                                            2021-09-15 20:07:53.558122 : Epoch  1, Batch    160, Loss  0.639378, Average Loss  0.866704, Time  0.240556
2021-09-15 20:07:55.070036 : Epoch  1, Batch    161, Loss  0.653425, Average Loss  0.865379, Time  0.237668
                                                                                                            2021-09-15 20:07:56.595388 : Epoch  1, Batch    162, Loss  0.643150, Average Loss  0.864007, Time  0.236799
2021-09-15 20:07:58.116970 : Epoch  1, Batch    163, Loss  0.645905, Average Loss  0.862669, Time  0.237440
                                                                                                            2021-09-15 20:07:59.648900 : Epoch  1, Batch    164, Loss  0.651132, Average Loss  0.861379, Time  0.238198
2021-09-15 20:08:01.158470 : Epoch  1, Batch    165, Loss  0.638590, Average Loss  0.860029, Time  0.236468
                                                                                                            2021-09-15 20:08:02.691658 : Epoch  1, Batch    166, Loss  0.652257, Average Loss  0.858777, Time  0.249209
2021-09-15 20:08:04.219835 : Epoch  1, Batch    167, Loss  0.650710, Average Loss  0.857531, Time  0.236989
                                                                                                            2021-09-15 20:08:05.734916 : Epoch  1, Batch    168, Loss  0.646789, Average Loss  0.856277, Time  0.239659
2021-09-15 20:08:07.253786 : Epoch  1, Batch    169, Loss  0.639141, Average Loss  0.854992, Time  0.239513
                                                                                                            2021-09-15 20:08:08.771407 : Epoch  1, Batch    170, Loss  0.645345, Average Loss  0.853759, Time  0.237036
                                                                                                            2021-09-15 20:08:12.786806 : Epoch  1, Batch    171, Loss  0.653413, Average Loss  0.852587, Time  0.284686
2021-09-15 20:08:14.309398 : Epoch  1, Batch    172, Loss  0.653655, Average Loss  0.851431, Time  0.239445
                                                                                                            2021-09-15 20:08:15.820938 : Epoch  1, Batch    173, Loss  0.648234, Average Loss  0.850256, Time  0.237571
2021-09-15 20:08:17.318971 : Epoch  1, Batch    174, Loss  0.650392, Average Loss  0.849108, Time  0.236825
                                                                                                            2021-09-15 20:08:18.824997 : Epoch  1, Batch    175, Loss  0.631703, Average Loss  0.847865, Time  0.238085
2021-09-15 20:08:20.329931 : Epoch  1, Batch    176, Loss  0.640835, Average Loss  0.846689, Time  0.236922
                                                                                                            2021-09-15 20:08:21.841841 : Epoch  1, Batch    177, Loss  0.642769, Average Loss  0.845537, Time  0.239215
2021-09-15 20:08:23.361362 : Epoch  1, Batch    178, Loss  0.638065, Average Loss  0.844371, Time  0.235634
                                                                                                            2021-09-15 20:08:24.877064 : Epoch  1, Batch    179, Loss  0.642975, Average Loss  0.843246, Time  0.234635
2021-09-15 20:08:26.392032 : Epoch  1, Batch    180, Loss  0.651084, Average Loss  0.842179, Time  0.234876
2021-09-15 20:08:27.917812 : Epoch  1, Batch    181, Loss  0.649994, Average Loss  0.841117, Time  0.234823
2021-09-15 20:08:29.438097 : Epoch  1, Batch    182, Loss  0.641933, Average Loss  0.840022, Time  0.234187
2021-09-15 20:08:30.973854 : Epoch  1, Batch    183, Loss  0.639058, Average Loss  0.838924, Time  0.234524
2021-09-15 20:08:32.509847 : Epoch  1, Batch    184, Loss  0.647241, Average Loss  0.837882, Time  0.239723
2021-09-15 20:08:34.047022 : Epoch  1, Batch    185, Loss  0.653292, Average Loss  0.836885, Time  0.238456
                                                                                                            2021-09-15 20:08:35.571594 : Epoch  1, Batch    186, Loss  0.643805, Average Loss  0.835847, Time  0.238583
2021-09-15 20:08:37.086178 : Epoch  1, Batch    187, Loss  0.640140, Average Loss  0.834800, Time  0.237053
2021-09-15 20:08:38.601631 : Epoch  1, Batch    188, Loss  0.643431, Average Loss  0.833782, Time  0.238832
2021-09-15 20:08:40.116755 : Epoch  1, Batch    189, Loss  0.652520, Average Loss  0.832823, Time  0.237177
2021-09-15 20:08:41.627389 : Epoch  1, Batch    190, Loss  0.640243, Average Loss  0.831810, Time  0.236446
2021-09-15 20:08:43.134785 : Epoch  1, Batch    191, Loss  0.647663, Average Loss  0.830845, Time  0.236740
2021-09-15 20:08:44.640031 : Epoch  1, Batch    192, Loss  0.646124, Average Loss  0.829883, Time  0.234537
2021-09-15 20:08:46.163805 : Epoch  1, Batch    193, Loss  0.643462, Average Loss  0.828917, Time  0.238865
2021-09-15 20:08:47.687410 : Epoch  1, Batch    194, Loss  0.637185, Average Loss  0.827929, Time  0.237360
2021-09-15 20:08:49.203769 : Epoch  1, Batch    195, Loss  0.649470, Average Loss  0.827014, Time  0.239146
2021-09-15 20:08:50.727899 : Epoch  1, Batch    196, Loss  0.646749, Average Loss  0.826094, Time  0.237669
2021-09-15 20:08:52.249827 : Epoch  1, Batch    197, Loss  0.654354, Average Loss  0.825222, Time  0.237548
2021-09-15 20:08:53.775383 : Epoch  1, Batch    198, Loss  0.651499, Average Loss  0.824345, Time  0.235719
2021-09-15 20:08:55.300341 : Epoch  1, Batch    199, Loss  0.634813, Average Loss  0.823393, Time  0.237888
2021-09-15 20:08:56.821968 : Epoch  1, Batch    200, Loss  0.647179, Average Loss  0.822512, Time  0.238333
2021-09-15 20:09:52.886686 : CheckPoint: Validation Loss  0.00026506, Best Loss  0.00026506
2021-09-15 20:09:52.928548 : Best Model Updated
2021-09-15 20:09:55.071896 : Epoch  1, Batch    201, Loss  0.642498, Average Loss  0.819988, Time  0.248302
2021-09-15 20:09:56.573848 : Epoch  1, Batch    202, Loss  0.649441, Average Loss  0.817539, Time  0.238460
2021-09-15 20:09:58.070558 : Epoch  1, Batch    203, Loss  0.649720, Average Loss  0.815051, Time  0.233633
2021-09-15 20:09:59.577872 : Epoch  1, Batch    204, Loss  0.642695, Average Loss  0.812562, Time  0.233956
2021-09-15 20:10:01.087948 : Epoch  1, Batch    205, Loss  0.642490, Average Loss  0.810078, Time  0.235724
2021-09-15 20:10:02.590873 : Epoch  1, Batch    206, Loss  0.648718, Average Loss  0.807666, Time  0.234112
2021-09-15 20:10:04.097007 : Epoch  1, Batch    207, Loss  0.641060, Average Loss  0.805241, Time  0.234009
2021-09-15 20:10:05.616224 : Epoch  1, Batch    208, Loss  0.641687, Average Loss  0.802833, Time  0.237956
2021-09-15 20:10:07.126227 : Epoch  1, Batch    209, Loss  0.651659, Average Loss  0.800504, Time  0.235896
2021-09-15 20:10:08.636837 : Epoch  1, Batch    210, Loss  0.650858, Average Loss  0.798204, Time  0.241013
2021-09-15 20:10:10.157083 : Epoch  1, Batch    211, Loss  0.643769, Average Loss  0.795896, Time  0.237376
2021-09-15 20:10:11.679871 : Epoch  1, Batch    212, Loss  0.654226, Average Loss  0.793682, Time  0.240115
2021-09-15 20:10:13.201991 : Epoch  1, Batch    213, Loss  0.640685, Average Loss  0.791418, Time  0.248608
2021-09-15 20:10:14.719573 : Epoch  1, Batch    214, Loss  0.642476, Average Loss  0.789230, Time  0.238074
2021-09-15 20:10:16.230838 : Epoch  1, Batch    215, Loss  0.646498, Average Loss  0.787109, Time  0.235500
2021-09-15 20:10:17.748063 : Epoch  1, Batch    216, Loss  0.644423, Average Loss  0.785017, Time  0.236408
2021-09-15 20:10:19.264006 : Epoch  1, Batch    217, Loss  0.652998, Average Loss  0.782987, Time  0.235774
2021-09-15 20:10:20.772737 : Epoch  1, Batch    218, Loss  0.642432, Average Loss  0.780987, Time  0.234864
2021-09-15 20:10:22.277032 : Epoch  1, Batch    219, Loss  0.643246, Average Loss  0.778982, Time  0.234608
2021-09-15 20:10:23.784201 : Epoch  1, Batch    220, Loss  0.642327, Average Loss  0.777014, Time  0.235739
2021-09-15 20:10:25.289820 : Epoch  1, Batch    221, Loss  0.638627, Average Loss  0.775078, Time  0.234763
2021-09-15 20:10:26.796407 : Epoch  1, Batch    222, Loss  0.644323, Average Loss  0.773160, Time  0.237177
2021-09-15 20:10:28.306982 : Epoch  1, Batch    223, Loss  0.661069, Average Loss  0.771409, Time  0.237278
2021-09-15 20:10:29.817872 : Epoch  1, Batch    224, Loss  0.642694, Average Loss  0.769561, Time  0.237335
2021-09-15 20:10:31.332993 : Epoch  1, Batch    225, Loss  0.644562, Average Loss  0.767779, Time  0.236977
2021-09-15 20:10:32.838553 : Epoch  1, Batch    226, Loss  0.645573, Average Loss  0.765997, Time  0.236148
2021-09-15 20:10:34.340012 : Epoch  1, Batch    227, Loss  0.656325, Average Loss  0.764319, Time  0.234658
2021-09-15 20:10:35.858454 : Epoch  1, Batch    228, Loss  0.643427, Average Loss  0.762561, Time  0.237545
2021-09-15 20:10:37.374893 : Epoch  1, Batch    229, Loss  0.637461, Average Loss  0.760795, Time  0.237785
2021-09-15 20:10:38.889369 : Epoch  1, Batch    230, Loss  0.638402, Average Loss  0.759059, Time  0.238777
2021-09-15 20:10:40.405773 : Epoch  1, Batch    231, Loss  0.635606, Average Loss  0.757334, Time  0.237051
2021-09-15 20:10:41.923430 : Epoch  1, Batch    232, Loss  0.645604, Average Loss  0.755659, Time  0.240232
2021-09-15 20:10:43.436356 : Epoch  1, Batch    233, Loss  0.641985, Average Loss  0.753951, Time  0.237026
2021-09-15 20:10:44.942430 : Epoch  1, Batch    234, Loss  0.656379, Average Loss  0.752372, Time  0.235713
2021-09-15 20:10:46.448136 : Epoch  1, Batch    235, Loss  0.651434, Average Loss  0.750771, Time  0.235134
2021-09-15 20:10:47.955209 : Epoch  1, Batch    236, Loss  0.655363, Average Loss  0.749208, Time  0.235054
2021-09-15 20:10:49.459243 : Epoch  1, Batch    237, Loss  0.646612, Average Loss  0.747585, Time  0.234562
2021-09-15 20:10:50.966275 : Epoch  1, Batch    238, Loss  0.638112, Average Loss  0.746052, Time  0.234984
2021-09-15 20:10:52.465966 : Epoch  1, Batch    239, Loss  0.635490, Average Loss  0.744409, Time  0.235125
2021-09-15 20:10:53.971401 : Epoch  1, Batch    240, Loss  0.647057, Average Loss  0.742829, Time  0.233989
2021-09-15 20:10:55.485987 : Epoch  1, Batch    241, Loss  0.644057, Average Loss  0.741225, Time  0.234804
2021-09-15 20:10:57.002626 : Epoch  1, Batch    242, Loss  0.639689, Average Loss  0.739618, Time  0.234874
2021-09-15 20:10:58.509288 : Epoch  1, Batch    243, Loss  0.651696, Average Loss  0.738029, Time  0.235688
2021-09-15 20:11:00.015674 : Epoch  1, Batch    244, Loss  0.651347, Average Loss  0.736436, Time  0.234617
2021-09-15 20:11:01.524992 : Epoch  1, Batch    245, Loss  0.638205, Average Loss  0.734828, Time  0.235182
2021-09-15 20:11:03.033287 : Epoch  1, Batch    246, Loss  0.647994, Average Loss  0.733251, Time  0.234570
2021-09-15 20:11:04.545722 : Epoch  1, Batch    247, Loss  0.650003, Average Loss  0.731680, Time  0.234708
2021-09-15 20:11:06.049440 : Epoch  1, Batch    248, Loss  0.646233, Average Loss  0.730130, Time  0.234134
2021-09-15 20:11:07.555926 : Epoch  1, Batch    249, Loss  0.642695, Average Loss  0.728556, Time  0.234308
2021-09-15 20:11:09.069883 : Epoch  1, Batch    250, Loss  0.641496, Average Loss  0.726983, Time  0.235909
2021-09-15 20:11:10.579864 : Epoch  1, Batch    251, Loss  0.648866, Average Loss  0.725480, Time  0.235060
2021-09-15 20:11:12.085273 : Epoch  1, Batch    252, Loss  0.643644, Average Loss  0.723916, Time  0.234936
2021-09-15 20:11:13.590865 : Epoch  1, Batch    253, Loss  0.648163, Average Loss  0.722409, Time  0.234520
2021-09-15 20:11:15.100450 : Epoch  1, Batch    254, Loss  0.648313, Average Loss  0.720900, Time  0.235726
2021-09-15 20:11:16.603758 : Epoch  1, Batch    255, Loss  0.654804, Average Loss  0.719396, Time  0.235602
2021-09-15 20:11:18.121168 : Epoch  1, Batch    256, Loss  0.640052, Average Loss  0.717836, Time  0.239918
2021-09-15 20:11:19.640906 : Epoch  1, Batch    257, Loss  0.644481, Average Loss  0.716264, Time  0.239440
2021-09-15 20:11:21.159931 : Epoch  1, Batch    258, Loss  0.650994, Average Loss  0.714763, Time  0.237285
2021-09-15 20:11:22.695368 : Epoch  1, Batch    259, Loss  0.644155, Average Loss  0.713226, Time  0.237559
2021-09-15 20:11:24.222069 : Epoch  1, Batch    260, Loss  0.642297, Average Loss  0.711659, Time  0.238203
2021-09-15 20:11:25.740038 : Epoch  1, Batch    261, Loss  0.638800, Average Loss  0.710116, Time  0.236932
2021-09-15 20:11:27.260405 : Epoch  1, Batch    262, Loss  0.650505, Average Loss  0.708635, Time  0.237148
2021-09-15 20:11:28.777801 : Epoch  1, Batch    263, Loss  0.635776, Average Loss  0.707051, Time  0.237222
2021-09-15 20:11:30.303316 : Epoch  1, Batch    264, Loss  0.639813, Average Loss  0.705503, Time  0.240198
2021-09-15 20:11:31.821393 : Epoch  1, Batch    265, Loss  0.652142, Average Loss  0.704055, Time  0.236523
2021-09-15 20:11:33.341665 : Epoch  1, Batch    266, Loss  0.635370, Average Loss  0.702491, Time  0.237354
2021-09-15 20:11:34.861951 : Epoch  1, Batch    267, Loss  0.639478, Average Loss  0.700972, Time  0.239659
2021-09-15 20:11:36.373817 : Epoch  1, Batch    268, Loss  0.641721, Average Loss  0.699461, Time  0.234362
2021-09-15 20:11:37.898282 : Epoch  1, Batch    269, Loss  0.631140, Average Loss  0.697896, Time  0.237867
2021-09-15 20:11:39.418453 : Epoch  1, Batch    270, Loss  0.633645, Average Loss  0.696303, Time  0.236754
2021-09-15 20:11:43.332977 : Epoch  1, Batch    271, Loss  0.662771, Average Loss  0.694911, Time  0.268136
2021-09-15 20:11:44.853128 : Epoch  1, Batch    272, Loss  0.655142, Average Loss  0.693449, Time  0.240093
2021-09-15 20:11:46.363340 : Epoch  1, Batch    273, Loss  0.651786, Average Loss  0.691976, Time  0.236786
2021-09-15 20:11:47.876009 : Epoch  1, Batch    274, Loss  0.640478, Average Loss  0.690475, Time  0.239510
2021-09-15 20:11:49.381743 : Epoch  1, Batch    275, Loss  0.646231, Average Loss  0.689015, Time  0.237647
2021-09-15 20:11:50.898934 : Epoch  1, Batch    276, Loss  0.654714, Average Loss  0.687588, Time  0.237014
2021-09-15 20:11:52.416045 : Epoch  1, Batch    277, Loss  0.644296, Average Loss  0.686145, Time  0.238543
2021-09-15 20:11:53.933071 : Epoch  1, Batch    278, Loss  0.649332, Average Loss  0.684716, Time  0.239776
2021-09-15 20:11:55.447264 : Epoch  1, Batch    279, Loss  0.645369, Average Loss  0.683281, Time  0.239329
2021-09-15 20:11:56.959024 : Epoch  1, Batch    280, Loss  0.641757, Average Loss  0.681852, Time  0.237502
2021-09-15 20:11:58.471132 : Epoch  1, Batch    281, Loss  0.648461, Average Loss  0.680483, Time  0.236807
2021-09-15 20:11:59.996894 : Epoch  1, Batch    282, Loss  0.634935, Average Loss  0.679050, Time  0.240840
2021-09-15 20:12:01.515011 : Epoch  1, Batch    283, Loss  0.642834, Average Loss  0.677635, Time  0.237308
2021-09-15 20:12:03.024859 : Epoch  1, Batch    284, Loss  0.642016, Average Loss  0.676283, Time  0.237199
2021-09-15 20:12:04.547859 : Epoch  1, Batch    285, Loss  0.640523, Average Loss  0.674904, Time  0.238631
2021-09-15 20:12:06.057201 : Epoch  1, Batch    286, Loss  0.649177, Average Loss  0.673629, Time  0.235334
2021-09-15 20:12:07.586343 : Epoch  1, Batch    287, Loss  0.643932, Average Loss  0.672365, Time  0.240689
2021-09-15 20:12:09.113120 : Epoch  1, Batch    288, Loss  0.643237, Average Loss  0.671189, Time  0.242553
2021-09-15 20:12:10.631381 : Epoch  1, Batch    289, Loss  0.635629, Average Loss  0.670072, Time  0.237250
2021-09-15 20:12:12.156422 : Epoch  1, Batch    290, Loss  0.643394, Average Loss  0.669036, Time  0.247357
2021-09-15 20:12:13.675833 : Epoch  1, Batch    291, Loss  0.643440, Average Loss  0.668056, Time  0.241243
2021-09-15 20:12:15.201286 : Epoch  1, Batch    292, Loss  0.648139, Average Loss  0.667184, Time  0.235790
2021-09-15 20:12:16.718037 : Epoch  1, Batch    293, Loss  0.648243, Average Loss  0.666311, Time  0.238420
2021-09-15 20:12:18.224248 : Epoch  1, Batch    294, Loss  0.638891, Average Loss  0.665335, Time  0.234963
2021-09-15 20:12:19.730159 : Epoch  1, Batch    295, Loss  0.643672, Average Loss  0.664414, Time  0.234437
2021-09-15 20:12:21.274444 : Epoch  1, Batch    296, Loss  0.633017, Average Loss  0.663487, Time  0.253493
2021-09-15 20:12:22.780886 : Epoch  1, Batch    297, Loss  0.643979, Average Loss  0.662599, Time  0.237496
2021-09-15 20:12:24.290042 : Epoch  1, Batch    298, Loss  0.640982, Average Loss  0.661726, Time  0.238221
2021-09-15 20:12:25.820048 : Epoch  1, Batch    299, Loss  0.643150, Average Loss  0.660882, Time  0.237359
2021-09-15 20:12:27.346810 : Epoch  1, Batch    300, Loss  0.638740, Average Loss  0.660002, Time  0.238778
                                                                                                                                                                                                                                                                                                                                                                                                                                2021-09-15 20:13:23.732127 : CheckPoint: Validation Loss  0.00026773, Best Loss  0.00026506
                                                                                                            2021-09-15 20:13:25.259260 : Epoch  1, Batch    301, Loss  0.647574, Average Loss  0.659196, Time  0.237390
2021-09-15 20:13:26.782865 : Epoch  1, Batch    302, Loss  0.651611, Average Loss  0.658399, Time  0.235465
                                                                                                            2021-09-15 20:13:28.303930 : Epoch  1, Batch    303, Loss  0.633307, Average Loss  0.657514, Time  0.235869
2021-09-15 20:13:29.845420 : Epoch  1, Batch    304, Loss  0.648947, Average Loss  0.656710, Time  0.252911
                                                                                                            2021-09-15 20:13:31.366958 : Epoch  1, Batch    305, Loss  0.633649, Average Loss  0.655883, Time  0.237030
2021-09-15 20:13:32.887149 : Epoch  1, Batch    306, Loss  0.642014, Average Loss  0.655073, Time  0.236587
                                                                                                            2021-09-15 20:13:34.406284 : Epoch  1, Batch    307, Loss  0.642662, Average Loss  0.654275, Time  0.238002
2021-09-15 20:13:35.932151 : Epoch  1, Batch    308, Loss  0.653880, Average Loss  0.653586, Time  0.236818
                                                                                                            2021-09-15 20:13:37.452798 : Epoch  1, Batch    309, Loss  0.642078, Average Loss  0.652853, Time  0.235958
2021-09-15 20:13:38.966974 : Epoch  1, Batch    310, Loss  0.646622, Average Loss  0.652156, Time  0.235591
                                                                                                            2021-09-15 20:13:40.483053 : Epoch  1, Batch    311, Loss  0.652720, Average Loss  0.651532, Time  0.235916
2021-09-15 20:13:42.015080 : Epoch  1, Batch    312, Loss  0.640463, Average Loss  0.650870, Time  0.236593
                                                                                                            2021-09-15 20:13:43.531404 : Epoch  1, Batch    313, Loss  0.639041, Average Loss  0.650272, Time  0.236898
2021-09-15 20:13:45.043417 : Epoch  1, Batch    314, Loss  0.651585, Average Loss  0.649753, Time  0.236645
                                                                                                            2021-09-15 20:13:46.565406 : Epoch  1, Batch    315, Loss  0.634124, Average Loss  0.649154, Time  0.236029
2021-09-15 20:13:48.085939 : Epoch  1, Batch    316, Loss  0.630571, Average Loss  0.648595, Time  0.236423
                                                                                                            2021-09-15 20:13:49.607236 : Epoch  1, Batch    317, Loss  0.639589, Average Loss  0.648187, Time  0.236566
2021-09-15 20:13:51.123437 : Epoch  1, Batch    318, Loss  0.640701, Average Loss  0.647812, Time  0.235601
                                                                                                            2021-09-15 20:13:52.637742 : Epoch  1, Batch    319, Loss  0.643040, Average Loss  0.647454, Time  0.237345
2021-09-15 20:13:54.161407 : Epoch  1, Batch    320, Loss  0.645664, Average Loss  0.647184, Time  0.236781
                                                                                                            2021-09-15 20:13:55.687069 : Epoch  1, Batch    321, Loss  0.641315, Average Loss  0.646914, Time  0.236007
                                                                                                            2021-09-15 20:13:57.201976 : Epoch  1, Batch    322, Loss  0.635544, Average Loss  0.646662, Time  0.237990
2021-09-15 20:13:58.736158 : Epoch  1, Batch    323, Loss  0.641488, Average Loss  0.646460, Time  0.236257
                                                                                                            2021-09-15 20:14:00.258812 : Epoch  1, Batch    324, Loss  0.651863, Average Loss  0.646359, Time  0.236574
2021-09-15 20:14:01.778009 : Epoch  1, Batch    325, Loss  0.638689, Average Loss  0.646242, Time  0.238056
                                                                                                            2021-09-15 20:14:03.318906 : Epoch  1, Batch    326, Loss  0.646294, Average Loss  0.646127, Time  0.241950
2021-09-15 20:14:04.840879 : Epoch  1, Batch    327, Loss  0.646650, Average Loss  0.646086, Time  0.240129
                                                                                                            2021-09-15 20:14:06.361736 : Epoch  1, Batch    328, Loss  0.646804, Average Loss  0.646038, Time  0.237800
2021-09-15 20:14:07.877019 : Epoch  1, Batch    329, Loss  0.646036, Average Loss  0.646002, Time  0.238990
                                                                                                            2021-09-15 20:14:09.396101 : Epoch  1, Batch    330, Loss  0.646572, Average Loss  0.645966, Time  0.237803
2021-09-15 20:14:10.909581 : Epoch  1, Batch    331, Loss  0.648623, Average Loss  0.645921, Time  0.238392
                                                                                                            2021-09-15 20:14:12.433460 : Epoch  1, Batch    332, Loss  0.650159, Average Loss  0.645909, Time  0.237859
2021-09-15 20:14:13.955427 : Epoch  1, Batch    333, Loss  0.648791, Average Loss  0.645859, Time  0.239761
                                                                                                            2021-09-15 20:14:15.474799 : Epoch  1, Batch    334, Loss  0.641386, Average Loss  0.645784, Time  0.237876
2021-09-15 20:14:16.986866 : Epoch  1, Batch    335, Loss  0.647014, Average Loss  0.645745, Time  0.237703
                                                                                                            2021-09-15 20:14:18.518139 : Epoch  1, Batch    336, Loss  0.643912, Average Loss  0.645756, Time  0.239829
2021-09-15 20:14:20.036065 : Epoch  1, Batch    337, Loss  0.646429, Average Loss  0.645656, Time  0.237061
                                                                                                            2021-09-15 20:14:21.556871 : Epoch  1, Batch    338, Loss  0.640801, Average Loss  0.645615, Time  0.239722
2021-09-15 20:14:23.072431 : Epoch  1, Batch    339, Loss  0.642961, Average Loss  0.645520, Time  0.238927
                                                                                                            2021-09-15 20:14:24.597121 : Epoch  1, Batch    340, Loss  0.639961, Average Loss  0.645474, Time  0.235360
2021-09-15 20:14:26.110072 : Epoch  1, Batch    341, Loss  0.642549, Average Loss  0.645411, Time  0.237622
                                                                                                            2021-09-15 20:14:27.620594 : Epoch  1, Batch    342, Loss  0.651156, Average Loss  0.645407, Time  0.236873
2021-09-15 20:14:29.129938 : Epoch  1, Batch    343, Loss  0.648264, Average Loss  0.645346, Time  0.235929
                                                                                                            2021-09-15 20:14:30.651022 : Epoch  1, Batch    344, Loss  0.642770, Average Loss  0.645272, Time  0.237253
2021-09-15 20:14:32.168953 : Epoch  1, Batch    345, Loss  0.641679, Average Loss  0.645206, Time  0.237553
                                                                                                            2021-09-15 20:14:33.692071 : Epoch  1, Batch    346, Loss  0.645356, Average Loss  0.645171, Time  0.238494
2021-09-15 20:14:35.201897 : Epoch  1, Batch    347, Loss  0.644426, Average Loss  0.645088, Time  0.237099
                                                                                                            2021-09-15 20:14:36.710137 : Epoch  1, Batch    348, Loss  0.638258, Average Loss  0.645006, Time  0.234932
2021-09-15 20:14:38.221855 : Epoch  1, Batch    349, Loss  0.648739, Average Loss  0.644996, Time  0.238349
                                                                                                            2021-09-15 20:14:39.756648 : Epoch  1, Batch    350, Loss  0.634653, Average Loss  0.644909, Time  0.237272
2021-09-15 20:14:41.274064 : Epoch  1, Batch    351, Loss  0.650995, Average Loss  0.644892, Time  0.237576
                                                                                                            2021-09-15 20:14:42.787928 : Epoch  1, Batch    352, Loss  0.632840, Average Loss  0.644854, Time  0.239026
2021-09-15 20:14:44.308539 : Epoch  1, Batch    353, Loss  0.641851, Average Loss  0.644813, Time  0.237435
                                                                                                            2021-09-15 20:14:45.822386 : Epoch  1, Batch    354, Loss  0.639532, Average Loss  0.644727, Time  0.238053
2021-09-15 20:14:47.355807 : Epoch  1, Batch    355, Loss  0.636123, Average Loss  0.644647, Time  0.237191
                                                                                                            2021-09-15 20:14:48.868076 : Epoch  1, Batch    356, Loss  0.655786, Average Loss  0.644749, Time  0.235256
2021-09-15 20:14:50.380165 : Epoch  1, Batch    357, Loss  0.646054, Average Loss  0.644717, Time  0.234770
                                                                                                            2021-09-15 20:14:51.912995 : Epoch  1, Batch    358, Loss  0.651528, Average Loss  0.644754, Time  0.245941
2021-09-15 20:14:53.440354 : Epoch  1, Batch    359, Loss  0.642164, Average Loss  0.644654, Time  0.236031
                                                                                                            2021-09-15 20:14:54.966007 : Epoch  1, Batch    360, Loss  0.646724, Average Loss  0.644691, Time  0.237042
2021-09-15 20:14:56.496762 : Epoch  1, Batch    361, Loss  0.639886, Average Loss  0.644623, Time  0.239744
                                                                                                            2021-09-15 20:14:58.018337 : Epoch  1, Batch    362, Loss  0.648607, Average Loss  0.644650, Time  0.237121
2021-09-15 20:14:59.530988 : Epoch  1, Batch    363, Loss  0.646023, Average Loss  0.644651, Time  0.236557
                                                                                                            2021-09-15 20:15:01.043151 : Epoch  1, Batch    364, Loss  0.646744, Average Loss  0.644629, Time  0.237184
2021-09-15 20:15:02.563384 : Epoch  1, Batch    365, Loss  0.647035, Average Loss  0.644671, Time  0.237171
                                                                                                            2021-09-15 20:15:04.085561 : Epoch  1, Batch    366, Loss  0.634990, Average Loss  0.644585, Time  0.237658
2021-09-15 20:15:05.610883 : Epoch  1, Batch    367, Loss  0.650348, Average Loss  0.644583, Time  0.239623
                                                                                                            2021-09-15 20:15:07.147115 : Epoch  1, Batch    368, Loss  0.652387, Average Loss  0.644611, Time  0.239082
2021-09-15 20:15:08.663784 : Epoch  1, Batch    369, Loss  0.647128, Average Loss  0.644651, Time  0.239120
                                                                                                            2021-09-15 20:15:10.177225 : Epoch  1, Batch    370, Loss  0.640604, Average Loss  0.644627, Time  0.236986
                                                                                                            2021-09-15 20:15:14.030341 : Epoch  1, Batch    371, Loss  0.640979, Average Loss  0.644565, Time  0.273676
                                                                                                            2021-09-15 20:15:15.546851 : Epoch  1, Batch    372, Loss  0.644443, Average Loss  0.644519, Time  0.253210
2021-09-15 20:15:17.059819 : Epoch  1, Batch    373, Loss  0.644122, Average Loss  0.644499, Time  0.241543
                                                                                                            2021-09-15 20:15:18.562400 : Epoch  1, Batch    374, Loss  0.639501, Average Loss  0.644444, Time  0.240614
2021-09-15 20:15:20.070032 : Epoch  1, Batch    375, Loss  0.641040, Average Loss  0.644491, Time  0.237580
                                                                                                            2021-09-15 20:15:21.579019 : Epoch  1, Batch    376, Loss  0.644798, Average Loss  0.644511, Time  0.239089
2021-09-15 20:15:23.078806 : Epoch  1, Batch    377, Loss  0.641976, Average Loss  0.644507, Time  0.239527
                                                                                                            2021-09-15 20:15:24.581690 : Epoch  1, Batch    378, Loss  0.660337, Average Loss  0.644618, Time  0.236757
2021-09-15 20:15:26.093876 : Epoch  1, Batch    379, Loss  0.641589, Average Loss  0.644611, Time  0.249840
                                                                                                            2021-09-15 20:15:27.601866 : Epoch  1, Batch    380, Loss  0.646359, Average Loss  0.644587, Time  0.236876
2021-09-15 20:15:29.111070 : Epoch  1, Batch    381, Loss  0.645695, Average Loss  0.644566, Time  0.237358
                                                                                                            2021-09-15 20:15:30.629062 : Epoch  1, Batch    382, Loss  0.645798, Average Loss  0.644585, Time  0.236731
2021-09-15 20:15:32.125914 : Epoch  1, Batch    383, Loss  0.636161, Average Loss  0.644571, Time  0.236836
                                                                                                            2021-09-15 20:15:33.642973 : Epoch  1, Batch    384, Loss  0.636914, Average Loss  0.644519, Time  0.236767
2021-09-15 20:15:35.161001 : Epoch  1, Batch    385, Loss  0.638514, Average Loss  0.644445, Time  0.236340
                                                                                                            2021-09-15 20:15:36.662761 : Epoch  1, Batch    386, Loss  0.637724, Average Loss  0.644415, Time  0.235724
2021-09-15 20:15:38.164982 : Epoch  1, Batch    387, Loss  0.641457, Average Loss  0.644421, Time  0.236790
                                                                                                            2021-09-15 20:15:39.688432 : Epoch  1, Batch    388, Loss  0.653105, Average Loss  0.644470, Time  0.237866
2021-09-15 20:15:41.193836 : Epoch  1, Batch    389, Loss  0.649069, Average Loss  0.644453, Time  0.236072
                                                                                                            2021-09-15 20:15:42.711882 : Epoch  1, Batch    390, Loss  0.651952, Average Loss  0.644511, Time  0.236210
2021-09-15 20:15:44.213359 : Epoch  1, Batch    391, Loss  0.635711, Average Loss  0.644451, Time  0.235485
                                                                                                            2021-09-15 20:15:45.712053 : Epoch  1, Batch    392, Loss  0.643077, Average Loss  0.644436, Time  0.234865
2021-09-15 20:15:47.229998 : Epoch  1, Batch    393, Loss  0.632264, Average Loss  0.644380, Time  0.237144
                                                                                                            2021-09-15 20:15:48.747426 : Epoch  1, Batch    394, Loss  0.647204, Average Loss  0.644430, Time  0.236683
2021-09-15 20:15:50.258224 : Epoch  1, Batch    395, Loss  0.658640, Average Loss  0.644476, Time  0.238754
                                                                                                            2021-09-15 20:15:51.773753 : Epoch  1, Batch    396, Loss  0.638795, Average Loss  0.644436, Time  0.237783
2021-09-15 20:15:53.277781 : Epoch  1, Batch    397, Loss  0.644359, Average Loss  0.644386, Time  0.237798
                                                                                                            2021-09-15 20:15:54.785674 : Epoch  1, Batch    398, Loss  0.645344, Average Loss  0.644356, Time  0.236634
2021-09-15 20:15:56.293344 : Epoch  1, Batch    399, Loss  0.640607, Average Loss  0.644384, Time  0.238525
                                                                                                            2021-09-15 20:15:57.799135 : Epoch  1, Batch    400, Loss  0.634409, Average Loss  0.644321, Time  0.237371
2021-09-15 20:16:00.453303 : Epoch  2, Batch   1200, Loss  0.874799, Average Loss  0.873198, Time  0.265909
2021-09-15 20:16:03.491133 : Epoch  2, Batch   1201, Loss  0.875619, Average Loss  0.873055, Time  0.266260
2021-09-15 20:16:06.534192 : Epoch  2, Batch   1202, Loss  0.876431, Average Loss  0.873202, Time  0.267022
2021-09-15 20:16:09.542508 : Epoch  2, Batch   1203, Loss  0.866567, Average Loss  0.873171, Time  0.266096
2021-09-15 20:16:12.544241 : Epoch  2, Batch   1204, Loss  0.868279, Average Loss  0.873108, Time  0.265217
2021-09-15 20:16:15.566593 : Epoch  2, Batch   1205, Loss  0.870455, Average Loss  0.873104, Time  0.265831
2021-09-15 20:16:18.550769 : Epoch  2, Batch   1206, Loss  0.870586, Average Loss  0.873156, Time  0.265598
2021-09-15 20:16:21.555736 : Epoch  2, Batch   1207, Loss  0.880041, Average Loss  0.873058, Time  0.265694
2021-09-15 20:16:24.554423 : Epoch  2, Batch   1208, Loss  0.887436, Average Loss  0.873175, Time  0.266670
2021-09-15 20:16:27.539090 : Epoch  2, Batch   1209, Loss  0.866619, Average Loss  0.873187, Time  0.265382
2021-09-15 20:16:30.529413 : Epoch  2, Batch   1210, Loss  0.864577, Average Loss  0.873167, Time  0.266152
2021-09-15 20:16:33.529055 : Epoch  2, Batch   1211, Loss  0.870478, Average Loss  0.873106, Time  0.274952
2021-09-15 20:16:36.508483 : Epoch  2, Batch   1212, Loss  0.862527, Average Loss  0.873074, Time  0.265365
2021-09-15 20:16:39.517475 : Epoch  2, Batch   1213, Loss  0.846099, Average Loss  0.873032, Time  0.266496
2021-09-15 20:16:42.506688 : Epoch  2, Batch   1214, Loss  0.885535, Average Loss  0.873238, Time  0.265050
2021-09-15 20:16:45.497985 : Epoch  2, Batch   1215, Loss  0.860201, Average Loss  0.873094, Time  0.265665
2021-09-15 20:16:48.488010 : Epoch  2, Batch   1216, Loss  0.871068, Average Loss  0.873181, Time  0.266063
2021-09-15 20:16:51.481880 : Epoch  2, Batch   1217, Loss  0.881991, Average Loss  0.873260, Time  0.266420
2021-09-15 20:16:53.933775 : CheckPoint: Validation Loss  0.00026922, Best Loss  0.00026506
                                                                                                            2021-09-15 20:16:55.447794 : Epoch  1, Batch    401, Loss  0.647483, Average Loss  0.644346, Time  0.237437
2021-09-15 20:16:56.968362 : Epoch  1, Batch    402, Loss  0.651915, Average Loss  0.644358, Time  0.240047
                                                                                                            2021-09-15 20:16:58.488888 : Epoch  1, Batch    403, Loss  0.642862, Average Loss  0.644324, Time  0.238964
2021-09-15 20:17:00.005359 : Epoch  1, Batch    404, Loss  0.638747, Average Loss  0.644304, Time  0.237286
                                                                                                            2021-09-15 20:17:01.526749 : Epoch  1, Batch    405, Loss  0.637216, Average Loss  0.644278, Time  0.239291
2021-09-15 20:17:03.043369 : Epoch  1, Batch    406, Loss  0.640035, Average Loss  0.644234, Time  0.236841
                                                                                                            2021-09-15 20:17:04.565749 : Epoch  1, Batch    407, Loss  0.647559, Average Loss  0.644267, Time  0.237817
2021-09-15 20:17:06.086008 : Epoch  1, Batch    408, Loss  0.640574, Average Loss  0.644261, Time  0.236068
                                                                                                            2021-09-15 20:17:07.595983 : Epoch  1, Batch    409, Loss  0.634710, Average Loss  0.644176, Time  0.235946
2021-09-15 20:17:09.121393 : Epoch  1, Batch    410, Loss  0.641279, Average Loss  0.644128, Time  0.237566
                                                                                                            2021-09-15 20:17:10.651608 : Epoch  1, Batch    411, Loss  0.640651, Average Loss  0.644113, Time  0.239049
2021-09-15 20:17:12.172399 : Epoch  1, Batch    412, Loss  0.648143, Average Loss  0.644082, Time  0.236850
                                                                                                            2021-09-15 20:17:13.716878 : Epoch  1, Batch    413, Loss  0.643246, Average Loss  0.644095, Time  0.234388
2021-09-15 20:17:15.225827 : Epoch  1, Batch    414, Loss  0.649760, Average Loss  0.644132, Time  0.234658
2021-09-15 20:17:15.477915 : Epoch  2, Batch   1225, Loss  0.857391, Average Loss  0.872976, Time  0.266331
2021-09-15 20:17:16.736132 : Epoch  1, Batch    415, Loss  0.639908, Average Loss  0.644099, Time  0.234695
2021-09-15 20:17:18.248210 : Epoch  1, Batch    416, Loss  0.633029, Average Loss  0.644042, Time  0.235221
                                                                                                            2021-09-15 20:17:19.761866 : Epoch  1, Batch    417, Loss  0.648360, Average Loss  0.644019, Time  0.234355
2021-09-15 20:17:21.276143 : Epoch  1, Batch    418, Loss  0.651270, Average Loss  0.644063, Time  0.234864
                                                                                                            2021-09-15 20:17:22.792579 : Epoch  1, Batch    419, Loss  0.635194, Average Loss  0.644022, Time  0.234995
2021-09-15 20:17:24.317368 : Epoch  1, Batch    420, Loss  0.650941, Average Loss  0.644066, Time  0.234317
                                                                                                            2021-09-15 20:17:25.833489 : Epoch  1, Batch    421, Loss  0.640920, Average Loss  0.644077, Time  0.234890
2021-09-15 20:17:27.351210 : Epoch  1, Batch    422, Loss  0.641852, Average Loss  0.644065, Time  0.234704
                                                                                                            2021-09-15 20:17:28.865090 : Epoch  1, Batch    423, Loss  0.645142, Average Loss  0.643985, Time  0.235044
2021-09-15 20:17:30.388244 : Epoch  1, Batch    424, Loss  0.641879, Average Loss  0.643981, Time  0.238436
                                                                                                            2021-09-15 20:17:31.911397 : Epoch  1, Batch    425, Loss  0.636025, Average Loss  0.643938, Time  0.236969
2021-09-15 20:17:33.469896 : Epoch  1, Batch    426, Loss  0.642509, Average Loss  0.643923, Time  0.241719
                                                                                                            2021-09-15 20:17:34.995460 : Epoch  1, Batch    427, Loss  0.642118, Average Loss  0.643852, Time  0.238723
2021-09-15 20:17:36.505408 : Epoch  1, Batch    428, Loss  0.643614, Average Loss  0.643853, Time  0.235448
                                                                                                            2021-09-15 20:17:38.025941 : Epoch  1, Batch    429, Loss  0.638760, Average Loss  0.643859, Time  0.235965
2021-09-15 20:17:39.555742 : Epoch  2, Batch   1233, Loss  0.868290, Average Loss  0.872681, Time  0.265763
2021-09-15 20:17:39.556934 : Epoch  1, Batch    430, Loss  0.644859, Average Loss  0.643892, Time  0.236029
2021-09-15 20:17:41.108883 : Epoch  1, Batch    431, Loss  0.636438, Average Loss  0.643896, Time  0.238873
2021-09-15 20:17:42.566546 : Epoch  2, Batch   1234, Loss  0.901145, Average Loss  0.872932, Time  0.266031
2021-09-15 20:17:42.651394 : Epoch  1, Batch    432, Loss  0.644098, Average Loss  0.643888, Time  0.236629
2021-09-15 20:17:44.195951 : Epoch  1, Batch    433, Loss  0.638046, Average Loss  0.643869, Time  0.238482
2021-09-15 20:17:45.600113 : Epoch  2, Batch   1235, Loss  0.860962, Average Loss  0.872832, Time  0.267041
2021-09-15 20:17:45.708358 : Epoch  1, Batch    434, Loss  0.638144, Average Loss  0.643777, Time  0.238285
2021-09-15 20:17:47.220828 : Epoch  1, Batch    435, Loss  0.651104, Average Loss  0.643776, Time  0.238090
2021-09-15 20:17:48.635165 : Epoch  2, Batch   1236, Loss  0.859271, Average Loss  0.872730, Time  0.265584
2021-09-15 20:17:48.743414 : Epoch  1, Batch    436, Loss  0.641052, Average Loss  0.643704, Time  0.237512
2021-09-15 20:17:50.261391 : Epoch  1, Batch    437, Loss  0.652311, Average Loss  0.643733, Time  0.238477
2021-09-15 20:17:51.623936 : Epoch  2, Batch   1237, Loss  0.830016, Average Loss  0.872519, Time  0.265328
2021-09-15 20:17:51.780980 : Epoch  1, Batch    438, Loss  0.645154, Average Loss  0.643768, Time  0.238298
2021-09-15 20:17:53.288503 : Epoch  1, Batch    439, Loss  0.643936, Average Loss  0.643810, Time  0.236755
2021-09-15 20:17:54.618194 : Epoch  2, Batch   1238, Loss  0.871713, Average Loss  0.872412, Time  0.265042
2021-09-15 20:17:54.817010 : Epoch  1, Batch    440, Loss  0.651267, Average Loss  0.643831, Time  0.238837
2021-09-15 20:17:56.339350 : Epoch  1, Batch    441, Loss  0.648530, Average Loss  0.643854, Time  0.237812
2021-09-15 20:17:57.597846 : Epoch  2, Batch   1239, Loss  0.872528, Average Loss  0.872445, Time  0.265379
2021-09-15 20:17:57.851410 : Epoch  1, Batch    442, Loss  0.641769, Average Loss  0.643864, Time  0.235507
2021-09-15 20:17:59.349840 : Epoch  1, Batch    443, Loss  0.644794, Average Loss  0.643829, Time  0.234784
2021-09-15 20:18:00.587545 : Epoch  2, Batch   1240, Loss  0.863365, Average Loss  0.872455, Time  0.267409
2021-09-15 20:18:00.856538 : Epoch  1, Batch    444, Loss  0.645254, Average Loss  0.643799, Time  0.235917
2021-09-15 20:18:02.358910 : Epoch  1, Batch    445, Loss  0.637197, Average Loss  0.643794, Time  0.234317
2021-09-15 20:18:03.585833 : Epoch  2, Batch   1241, Loss  0.879683, Average Loss  0.872447, Time  0.274867
2021-09-15 20:18:03.873829 : Epoch  1, Batch    446, Loss  0.643342, Average Loss  0.643771, Time  0.243430
2021-09-15 20:18:05.382424 : Epoch  1, Batch    447, Loss  0.637749, Average Loss  0.643709, Time  0.235715
2021-09-15 20:18:06.589217 : Epoch  2, Batch   1242, Loss  0.878900, Average Loss  0.872482, Time  0.266140
2021-09-15 20:18:06.897951 : Epoch  1, Batch    448, Loss  0.641680, Average Loss  0.643687, Time  0.239129
2021-09-15 20:18:08.434802 : Epoch  1, Batch    449, Loss  0.640359, Average Loss  0.643675, Time  0.241286
2021-09-15 20:18:09.600535 : Epoch  2, Batch   1243, Loss  0.872737, Average Loss  0.872549, Time  0.265733
2021-09-15 20:18:09.942268 : Epoch  1, Batch    450, Loss  0.650442, Average Loss  0.643720, Time  0.235976
2021-09-15 20:18:11.440886 : Epoch  1, Batch    451, Loss  0.637759, Average Loss  0.643664, Time  0.238329
2021-09-15 20:18:12.584402 : Epoch  2, Batch   1244, Loss  0.865854, Average Loss  0.872516, Time  0.265841
2021-09-15 20:18:12.950816 : Epoch  1, Batch    452, Loss  0.635692, Average Loss  0.643624, Time  0.238326
2021-09-15 20:18:14.448285 : Epoch  1, Batch    453, Loss  0.640509, Average Loss  0.643586, Time  0.236796
2021-09-15 20:18:15.957139 : Epoch  1, Batch    454, Loss  0.643175, Average Loss  0.643560, Time  0.236882
2021-09-15 20:18:17.466055 : Epoch  1, Batch    455, Loss  0.650193, Average Loss  0.643537, Time  0.238204
2021-09-15 20:18:18.967690 : Epoch  1, Batch    456, Loss  0.635330, Average Loss  0.643514, Time  0.236336
2021-09-15 20:18:20.476958 : Epoch  1, Batch    457, Loss  0.652409, Average Loss  0.643553, Time  0.239628
2021-09-15 20:18:21.988850 : Epoch  1, Batch    458, Loss  0.628839, Average Loss  0.643443, Time  0.236974
2021-09-15 20:18:23.486282 : Epoch  1, Batch    459, Loss  0.653641, Average Loss  0.643490, Time  0.237309
2021-09-15 20:18:24.987909 : Epoch  1, Batch    460, Loss  0.638484, Average Loss  0.643471, Time  0.237074
2021-09-15 20:18:26.506429 : Epoch  1, Batch    461, Loss  0.640583, Average Loss  0.643480, Time  0.235292
2021-09-15 20:18:28.007760 : Epoch  1, Batch    462, Loss  0.641183, Average Loss  0.643433, Time  0.234054
2021-09-15 20:18:29.530906 : Epoch  1, Batch    463, Loss  0.643359, Average Loss  0.643471, Time  0.238236
2021-09-15 20:18:31.064284 : Epoch  1, Batch    464, Loss  0.640795, Average Loss  0.643476, Time  0.254856
2021-09-15 20:18:32.734474 : Epoch  1, Batch    465, Loss  0.637421, Average Loss  0.643402, Time  0.255193
2021-09-15 20:18:34.274169 : Epoch  1, Batch    466, Loss  0.651927, Average Loss  0.643485, Time  0.239093
2021-09-15 20:18:35.800970 : Epoch  1, Batch    467, Loss  0.639144, Average Loss  0.643484, Time  0.239392
2021-09-15 20:18:37.323417 : Epoch  1, Batch    468, Loss  0.644286, Average Loss  0.643496, Time  0.240896
2021-09-15 20:18:38.849945 : Epoch  1, Batch    469, Loss  0.645715, Average Loss  0.643569, Time  0.237680
2021-09-15 20:18:40.372764 : Epoch  1, Batch    470, Loss  0.646753, Average Loss  0.643635, Time  0.237745
2021-09-15 20:18:44.404704 : Epoch  1, Batch    471, Loss  0.635425, Average Loss  0.643498, Time  0.277485
2021-09-15 20:18:45.931340 : Epoch  1, Batch    472, Loss  0.637244, Average Loss  0.643409, Time  0.254808
2021-09-15 20:18:47.440752 : Epoch  1, Batch    473, Loss  0.645167, Average Loss  0.643376, Time  0.243753
2021-09-15 20:18:48.948769 : Epoch  1, Batch    474, Loss  0.635470, Average Loss  0.643350, Time  0.237080
2021-09-15 20:18:50.458022 : Epoch  1, Batch    475, Loss  0.634510, Average Loss  0.643292, Time  0.237443
2021-09-15 20:18:51.969400 : Epoch  1, Batch    476, Loss  0.637787, Average Loss  0.643207, Time  0.239471
2021-09-15 20:18:53.478387 : Epoch  1, Batch    477, Loss  0.637470, Average Loss  0.643173, Time  0.236362
2021-09-15 20:18:55.002082 : Epoch  1, Batch    478, Loss  0.651356, Average Loss  0.643183, Time  0.250103
2021-09-15 20:18:56.514044 : Epoch  1, Batch    479, Loss  0.643117, Average Loss  0.643172, Time  0.239334
2021-09-15 20:18:58.028140 : Epoch  1, Batch    480, Loss  0.639169, Average Loss  0.643159, Time  0.237433
2021-09-15 20:18:59.537015 : Epoch  1, Batch    481, Loss  0.645858, Average Loss  0.643146, Time  0.236629
2021-09-15 20:19:01.047364 : Epoch  1, Batch    482, Loss  0.645750, Average Loss  0.643200, Time  0.235491
2021-09-15 20:19:02.551859 : Epoch  1, Batch    483, Loss  0.630758, Average Loss  0.643140, Time  0.236116
2021-09-15 20:19:04.069128 : Epoch  1, Batch    484, Loss  0.644101, Average Loss  0.643150, Time  0.238309
2021-09-15 20:19:05.587976 : Epoch  1, Batch    485, Loss  0.640694, Average Loss  0.643151, Time  0.237084
2021-09-15 20:19:07.105872 : Epoch  1, Batch    486, Loss  0.633336, Average Loss  0.643072, Time  0.235976
2021-09-15 20:19:08.618019 : Epoch  1, Batch    487, Loss  0.645788, Average Loss  0.643081, Time  0.236259
2021-09-15 20:19:10.132377 : Epoch  1, Batch    488, Loss  0.645146, Average Loss  0.643091, Time  0.236097
2021-09-15 20:19:11.640906 : Epoch  1, Batch    489, Loss  0.644575, Average Loss  0.643135, Time  0.235725
2021-09-15 20:19:13.154401 : Epoch  1, Batch    490, Loss  0.642955, Average Loss  0.643133, Time  0.236328
2021-09-15 20:19:14.662773 : Epoch  1, Batch    491, Loss  0.646787, Average Loss  0.643150, Time  0.239447
2021-09-15 20:19:16.180924 : Epoch  1, Batch    492, Loss  0.639156, Average Loss  0.643105, Time  0.243610
2021-09-15 20:19:17.698088 : Epoch  1, Batch    493, Loss  0.634060, Average Loss  0.643034, Time  0.239635
2021-09-15 20:19:19.213745 : Epoch  1, Batch    494, Loss  0.649716, Average Loss  0.643088, Time  0.238133
2021-09-15 20:19:20.721964 : Epoch  1, Batch    495, Loss  0.648942, Average Loss  0.643115, Time  0.235523
2021-09-15 20:19:22.230077 : Epoch  1, Batch    496, Loss  0.651026, Average Loss  0.643205, Time  0.237581
2021-09-15 20:19:23.739823 : Epoch  1, Batch    497, Loss  0.640131, Average Loss  0.643185, Time  0.238314
2021-09-15 20:19:25.254952 : Epoch  1, Batch    498, Loss  0.634322, Average Loss  0.643152, Time  0.238145
2021-09-15 20:19:26.780349 : Epoch  1, Batch    499, Loss  0.644767, Average Loss  0.643160, Time  0.237329
2021-09-15 20:19:28.291723 : Epoch  1, Batch    500, Loss  0.640832, Average Loss  0.643171, Time  0.236982
2021-09-15 20:20:24.351712 : CheckPoint: Validation Loss  0.00027268, Best Loss  0.00026506
2021-09-15 20:20:25.863911 : Epoch  1, Batch    501, Loss  0.629495, Average Loss  0.643080, Time  0.239269
2021-09-15 20:20:27.373049 : Epoch  1, Batch    502, Loss  0.647717, Average Loss  0.643061, Time  0.236445
2021-09-15 20:20:28.872034 : Epoch  1, Batch    503, Loss  0.639274, Average Loss  0.643091, Time  0.235754
2021-09-15 20:20:30.378895 : Epoch  1, Batch    504, Loss  0.645414, Average Loss  0.643073, Time  0.237969
2021-09-15 20:20:31.880886 : Epoch  1, Batch    505, Loss  0.629180, Average Loss  0.643051, Time  0.237177
2021-09-15 20:20:33.384098 : Epoch  1, Batch    506, Loss  0.645900, Average Loss  0.643070, Time  0.238778
2021-09-15 20:20:34.886268 : Epoch  1, Batch    507, Loss  0.652444, Average Loss  0.643119, Time  0.235384
2021-09-15 20:20:36.388848 : Epoch  1, Batch    508, Loss  0.638839, Average Loss  0.643044, Time  0.238755
2021-09-15 20:20:37.900784 : Epoch  1, Batch    509, Loss  0.640621, Average Loss  0.643036, Time  0.235789
2021-09-15 20:20:39.418021 : Epoch  1, Batch    510, Loss  0.650106, Average Loss  0.643054, Time  0.235878
2021-09-15 20:20:40.920147 : Epoch  1, Batch    511, Loss  0.642533, Average Loss  0.643003, Time  0.234779
2021-09-15 20:20:42.430063 : Epoch  1, Batch    512, Loss  0.638744, Average Loss  0.642994, Time  0.236768
2021-09-15 20:20:43.938160 : Epoch  1, Batch    513, Loss  0.638639, Average Loss  0.642992, Time  0.238074
2021-09-15 20:20:45.432104 : Epoch  1, Batch    514, Loss  0.638945, Average Loss  0.642929, Time  0.237303
2021-09-15 20:20:46.940368 : Epoch  1, Batch    515, Loss  0.637080, Average Loss  0.642944, Time  0.238199
2021-09-15 20:20:48.449055 : Epoch  1, Batch    516, Loss  0.649131, Average Loss  0.643037, Time  0.237009
2021-09-15 20:20:49.957027 : Epoch  1, Batch    517, Loss  0.643478, Average Loss  0.643056, Time  0.237598
2021-09-15 20:20:51.461265 : Epoch  1, Batch    518, Loss  0.635715, Average Loss  0.643031, Time  0.237588
2021-09-15 20:20:52.969937 : Epoch  1, Batch    519, Loss  0.641253, Average Loss  0.643022, Time  0.238383
2021-09-15 20:20:54.472446 : Epoch  1, Batch    520, Loss  0.652633, Average Loss  0.643057, Time  0.237140
2021-09-15 20:20:55.979805 : Epoch  1, Batch    521, Loss  0.636723, Average Loss  0.643034, Time  0.236920
2021-09-15 20:20:57.499835 : Epoch  1, Batch    522, Loss  0.646019, Average Loss  0.643086, Time  0.238182
2021-09-15 20:20:59.002780 : Epoch  1, Batch    523, Loss  0.637462, Average Loss  0.643066, Time  0.238766
2021-09-15 20:21:00.508344 : Epoch  1, Batch    524, Loss  0.642933, Average Loss  0.643022, Time  0.236810
2021-09-15 20:21:02.029903 : Epoch  1, Batch    525, Loss  0.632518, Average Loss  0.642991, Time  0.239853
2021-09-15 20:21:03.564913 : Epoch  1, Batch    526, Loss  0.649247, Average Loss  0.643006, Time  0.239747
2021-09-15 20:21:05.072405 : Epoch  1, Batch    527, Loss  0.640144, Average Loss  0.642973, Time  0.238597
2021-09-15 20:21:06.572867 : Epoch  1, Batch    528, Loss  0.633629, Average Loss  0.642907, Time  0.237199
2021-09-15 20:21:08.072915 : Epoch  1, Batch    529, Loss  0.652037, Average Loss  0.642937, Time  0.236707
2021-09-15 20:21:09.572255 : Epoch  1, Batch    530, Loss  0.633980, Average Loss  0.642874, Time  0.236513
2021-09-15 20:21:11.074310 : Epoch  1, Batch    531, Loss  0.644452, Average Loss  0.642853, Time  0.235140
2021-09-15 20:21:12.584805 : Epoch  1, Batch    532, Loss  0.627183, Average Loss  0.642739, Time  0.234601
2021-09-15 20:21:14.084799 : Epoch  1, Batch    533, Loss  0.643086, Average Loss  0.642710, Time  0.234195
2021-09-15 20:21:15.582783 : Epoch  1, Batch    534, Loss  0.641789, Average Loss  0.642712, Time  0.234273
2021-09-15 20:21:17.084179 : Epoch  1, Batch    535, Loss  0.645598, Average Loss  0.642705, Time  0.234098
2021-09-15 20:21:18.586992 : Epoch  1, Batch    536, Loss  0.641105, Average Loss  0.642691, Time  0.234625
2021-09-15 20:21:20.091937 : Epoch  1, Batch    537, Loss  0.643578, Average Loss  0.642677, Time  0.236572
2021-09-15 20:21:21.599040 : Epoch  1, Batch    538, Loss  0.641978, Average Loss  0.642683, Time  0.234345
2021-09-15 20:21:23.099813 : Epoch  1, Batch    539, Loss  0.630036, Average Loss  0.642618, Time  0.233913
2021-09-15 20:21:24.598346 : Epoch  1, Batch    540, Loss  0.642453, Average Loss  0.642630, Time  0.234432
2021-09-15 20:21:26.105379 : Epoch  1, Batch    541, Loss  0.637282, Average Loss  0.642604, Time  0.239654
2021-09-15 20:21:27.606930 : Epoch  1, Batch    542, Loss  0.634009, Average Loss  0.642518, Time  0.239780
2021-09-15 20:21:29.106784 : Epoch  1, Batch    543, Loss  0.643930, Average Loss  0.642497, Time  0.234371
2021-09-15 20:21:30.607079 : Epoch  1, Batch    544, Loss  0.644975, Average Loss  0.642508, Time  0.240665
2021-09-15 20:21:32.106795 : Epoch  1, Batch    545, Loss  0.637650, Average Loss  0.642488, Time  0.238486
2021-09-15 20:21:33.610371 : Epoch  1, Batch    546, Loss  0.636354, Average Loss  0.642443, Time  0.236492
2021-09-15 20:21:35.117401 : Epoch  1, Batch    547, Loss  0.647600, Average Loss  0.642458, Time  0.239357
2021-09-15 20:21:36.611029 : Epoch  1, Batch    548, Loss  0.646133, Average Loss  0.642498, Time  0.237187
2021-09-15 20:21:38.113079 : Epoch  1, Batch    549, Loss  0.644922, Average Loss  0.642479, Time  0.237445
2021-09-15 20:21:39.617595 : Epoch  1, Batch    550, Loss  0.648833, Average Loss  0.642550, Time  0.236648
2021-09-15 20:21:41.128598 : Epoch  1, Batch    551, Loss  0.636651, Average Loss  0.642478, Time  0.238616
2021-09-15 20:21:42.640427 : Epoch  1, Batch    552, Loss  0.642533, Average Loss  0.642526, Time  0.239028
2021-09-15 20:21:44.152598 : Epoch  1, Batch    553, Loss  0.647482, Average Loss  0.642554, Time  0.237086
2021-09-15 20:21:45.654448 : Epoch  1, Batch    554, Loss  0.644966, Average Loss  0.642582, Time  0.235871
2021-09-15 20:21:47.169710 : Epoch  1, Batch    555, Loss  0.637240, Average Loss  0.642587, Time  0.234712
2021-09-15 20:21:48.669036 : Epoch  1, Batch    556, Loss  0.644956, Average Loss  0.642533, Time  0.234994
2021-09-15 20:21:50.164605 : Epoch  1, Batch    557, Loss  0.638694, Average Loss  0.642496, Time  0.234214
2021-09-15 20:21:51.698967 : Epoch  1, Batch    558, Loss  0.650154, Average Loss  0.642489, Time  0.263404
2021-09-15 20:21:53.213539 : Epoch  1, Batch    559, Loss  0.643775, Average Loss  0.642497, Time  0.239769
2021-09-15 20:21:54.716083 : Epoch  1, Batch    560, Loss  0.646981, Average Loss  0.642499, Time  0.239611
2021-09-15 20:21:56.228912 : Epoch  1, Batch    561, Loss  0.642942, Average Loss  0.642514, Time  0.236191
2021-09-15 20:21:57.730710 : Epoch  1, Batch    562, Loss  0.639480, Average Loss  0.642468, Time  0.234199
2021-09-15 20:21:59.246391 : Epoch  1, Batch    563, Loss  0.642886, Average Loss  0.642453, Time  0.235282
2021-09-15 20:22:00.749776 : Epoch  1, Batch    564, Loss  0.647421, Average Loss  0.642456, Time  0.233877
2021-09-15 20:22:02.252160 : Epoch  1, Batch    565, Loss  0.641534, Average Loss  0.642429, Time  0.234720
2021-09-15 20:22:03.759411 : Epoch  1, Batch    566, Loss  0.637409, Average Loss  0.642441, Time  0.238314
2021-09-15 20:22:05.263842 : Epoch  1, Batch    567, Loss  0.645515, Average Loss  0.642417, Time  0.237166
2021-09-15 20:22:06.765329 : Epoch  1, Batch    568, Loss  0.637908, Average Loss  0.642344, Time  0.237793
2021-09-15 20:22:08.272844 : Epoch  1, Batch    569, Loss  0.639685, Average Loss  0.642307, Time  0.237760
2021-09-15 20:22:09.783357 : Epoch  1, Batch    570, Loss  0.645350, Average Loss  0.642331, Time  0.239625
2021-09-15 20:22:13.611807 : Epoch  1, Batch    571, Loss  0.646547, Average Loss  0.642358, Time  0.269655
2021-09-15 20:22:15.111936 : Epoch  1, Batch    572, Loss  0.641707, Average Loss  0.642345, Time  0.242689
2021-09-15 20:22:16.609750 : Epoch  1, Batch    573, Loss  0.641282, Average Loss  0.642331, Time  0.239411
2021-09-15 20:22:18.107309 : Epoch  1, Batch    574, Loss  0.633199, Average Loss  0.642299, Time  0.238312
2021-09-15 20:22:19.604673 : Epoch  1, Batch    575, Loss  0.641085, Average Loss  0.642299, Time  0.237435
2021-09-15 20:22:21.109064 : Epoch  1, Batch    576, Loss  0.644609, Average Loss  0.642298, Time  0.236838
2021-09-15 20:22:22.599645 : Epoch  1, Batch    577, Loss  0.634218, Average Loss  0.642260, Time  0.236758
2021-09-15 20:22:24.098990 : Epoch  1, Batch    578, Loss  0.641028, Average Loss  0.642163, Time  0.237299
2021-09-15 20:22:25.609590 : Epoch  1, Batch    579, Loss  0.645716, Average Loss  0.642184, Time  0.236539
2021-09-15 20:22:27.111048 : Epoch  1, Batch    580, Loss  0.644687, Average Loss  0.642175, Time  0.237643
2021-09-15 20:22:28.697809 : Epoch  1, Batch    581, Loss  0.639496, Average Loss  0.642144, Time  0.237848
2021-09-15 20:22:30.206357 : Epoch  1, Batch    582, Loss  0.643573, Average Loss  0.642133, Time  0.238408
2021-09-15 20:22:31.698608 : Epoch  1, Batch    583, Loss  0.644742, Average Loss  0.642176, Time  0.236039
2021-09-15 20:22:33.205458 : Epoch  1, Batch    584, Loss  0.645316, Average Loss  0.642218, Time  0.239299
2021-09-15 20:22:34.706053 : Epoch  1, Batch    585, Loss  0.638234, Average Loss  0.642217, Time  0.236781
2021-09-15 20:22:36.201456 : Epoch  1, Batch    586, Loss  0.637697, Average Loss  0.642217, Time  0.238610
2021-09-15 20:22:37.703981 : Epoch  1, Batch    587, Loss  0.646756, Average Loss  0.642243, Time  0.237140
2021-09-15 20:22:39.215954 : Epoch  1, Batch    588, Loss  0.638742, Average Loss  0.642171, Time  0.241390
2021-09-15 20:22:40.733021 : Epoch  1, Batch    589, Loss  0.635653, Average Loss  0.642104, Time  0.237161
2021-09-15 20:22:42.253923 : Epoch  1, Batch    590, Loss  0.645348, Average Loss  0.642071, Time  0.236874
2021-09-15 20:22:43.757905 : Epoch  1, Batch    591, Loss  0.644330, Average Loss  0.642114, Time  0.236443
2021-09-15 20:22:45.268872 : Epoch  1, Batch    592, Loss  0.644924, Average Loss  0.642123, Time  0.237951
2021-09-15 20:22:46.782028 : Epoch  1, Batch    593, Loss  0.632997, Average Loss  0.642127, Time  0.239167
2021-09-15 20:22:48.290080 : Epoch  1, Batch    594, Loss  0.644144, Average Loss  0.642112, Time  0.237082
2021-09-15 20:22:49.797879 : Epoch  1, Batch    595, Loss  0.644622, Average Loss  0.642042, Time  0.238619
2021-09-15 20:22:50.587826 : CheckPoint: Validation Loss  0.00030125, Best Loss  0.00029628
2021-09-15 20:22:51.298142 : Epoch  1, Batch    596, Loss  0.638831, Average Loss  0.642042, Time  0.236222
2021-09-15 20:22:52.796114 : Epoch  1, Batch    597, Loss  0.647287, Average Loss  0.642057, Time  0.238189
2021-09-15 20:22:53.581184 : Epoch  2, Batch   1245, Loss  0.873688, Average Loss  0.872430, Time  0.268631
2021-09-15 20:22:54.302003 : Epoch  1, Batch    598, Loss  0.659425, Average Loss  0.642127, Time  0.244379
2021-09-15 20:22:55.812941 : Epoch  1, Batch    599, Loss  0.635146, Average Loss  0.642100, Time  0.237568
2021-09-15 20:22:56.580727 : Epoch  2, Batch   1246, Loss  0.855389, Average Loss  0.872350, Time  0.265187
2021-09-15 20:22:57.316481 : Epoch  1, Batch    600, Loss  0.639052, Average Loss  0.642123, Time  0.234354
2021-09-15 20:22:59.593419 : Epoch  2, Batch   1247, Loss  0.872042, Average Loss  0.872311, Time  0.265444
2021-09-15 20:23:02.583818 : Epoch  2, Batch   1248, Loss  0.873312, Average Loss  0.872303, Time  0.264991
2021-09-15 20:23:05.575791 : Epoch  2, Batch   1249, Loss  0.890868, Average Loss  0.872284, Time  0.265465
2021-09-15 20:23:08.564813 : Epoch  2, Batch   1250, Loss  0.865375, Average Loss  0.872292, Time  0.265881
2021-09-15 20:23:11.565360 : Epoch  2, Batch   1251, Loss  0.880825, Average Loss  0.872290, Time  0.265787
2021-09-15 20:23:14.549310 : Epoch  2, Batch   1252, Loss  0.863781, Average Loss  0.872266, Time  0.263712
2021-09-15 20:23:17.542203 : Epoch  2, Batch   1253, Loss  0.882195, Average Loss  0.872372, Time  0.265783
2021-09-15 20:23:20.523008 : Epoch  2, Batch   1254, Loss  0.870027, Average Loss  0.872305, Time  0.265517
2021-09-15 20:23:23.526622 : Epoch  2, Batch   1255, Loss  0.862010, Average Loss  0.872228, Time  0.265671
2021-09-15 20:23:26.529784 : Epoch  2, Batch   1256, Loss  0.860203, Average Loss  0.872104, Time  0.265696
2021-09-15 20:23:29.555533 : Epoch  2, Batch   1257, Loss  0.866870, Average Loss  0.872121, Time  0.266273
2021-09-15 20:23:32.578247 : Epoch  2, Batch   1258, Loss  0.872905, Average Loss  0.872104, Time  0.278299
2021-09-15 20:23:35.610629 : Epoch  2, Batch   1259, Loss  0.879117, Average Loss  0.872091, Time  0.267469
2021-09-15 20:23:38.597481 : Epoch  2, Batch   1260, Loss  0.849916, Average Loss  0.872072, Time  0.265752
2021-09-15 20:23:41.616068 : Epoch  2, Batch   1261, Loss  0.878654, Average Loss  0.872178, Time  0.266487
2021-09-15 20:23:44.603488 : Epoch  2, Batch   1262, Loss  0.860369, Average Loss  0.872049, Time  0.265978
2021-09-15 20:23:47.602437 : Epoch  2, Batch   1263, Loss  0.849100, Average Loss  0.871869, Time  0.267166
2021-09-15 20:23:50.604324 : Epoch  2, Batch   1264, Loss  0.865140, Average Loss  0.871777, Time  0.266964
2021-09-15 20:23:53.425707 : CheckPoint: Validation Loss  0.00026134, Best Loss  0.00026134
2021-09-15 20:23:53.466560 : Best Model Updated
2021-09-15 20:23:53.613366 : Epoch  2, Batch   1265, Loss  0.876671, Average Loss  0.871736, Time  0.265244
2021-09-15 20:23:55.716861 : Epoch  1, Batch    601, Loss  0.633044, Average Loss  0.642051, Time  0.239917
2021-09-15 20:23:56.588139 : Epoch  2, Batch   1266, Loss  0.879007, Average Loss  0.871913, Time  0.266187
2021-09-15 20:23:57.247943 : Epoch  1, Batch    602, Loss  0.636800, Average Loss  0.641975, Time  0.237399
2021-09-15 20:23:58.825912 : Epoch  1, Batch    603, Loss  0.653229, Average Loss  0.642027, Time  0.237558
2021-09-15 20:23:59.597824 : Epoch  2, Batch   1267, Loss  0.855241, Average Loss  0.871885, Time  0.264866
2021-09-15 20:24:00.335349 : Epoch  1, Batch    604, Loss  0.641330, Average Loss  0.642040, Time  0.237561
2021-09-15 20:24:01.849773 : Epoch  1, Batch    605, Loss  0.634941, Average Loss  0.642028, Time  0.236924
2021-09-15 20:24:02.590014 : Epoch  2, Batch   1268, Loss  0.890270, Average Loss  0.871880, Time  0.266800
2021-09-15 20:24:03.361422 : Epoch  1, Batch    606, Loss  0.633441, Average Loss  0.641996, Time  0.237073
2021-09-15 20:24:04.878063 : Epoch  1, Batch    607, Loss  0.637809, Average Loss  0.641947, Time  0.238950
2021-09-15 20:24:05.606142 : Epoch  2, Batch   1269, Loss  0.873436, Average Loss  0.871797, Time  0.265297
2021-09-15 20:24:06.388987 : Epoch  1, Batch    608, Loss  0.642259, Average Loss  0.641955, Time  0.236291
2021-09-15 20:24:07.910389 : Epoch  1, Batch    609, Loss  0.642217, Average Loss  0.641993, Time  0.239463
2021-09-15 20:24:08.592867 : Epoch  2, Batch   1270, Loss  0.856976, Average Loss  0.871655, Time  0.265560
2021-09-15 20:24:09.418105 : Epoch  1, Batch    610, Loss  0.642396, Average Loss  0.641998, Time  0.236724
2021-09-15 20:24:10.928454 : Epoch  1, Batch    611, Loss  0.652360, Average Loss  0.642057, Time  0.236563
2021-09-15 20:24:11.581662 : Epoch  2, Batch   1271, Loss  0.871313, Average Loss  0.871623, Time  0.265494
2021-09-15 20:24:12.435327 : Epoch  1, Batch    612, Loss  0.652674, Average Loss  0.642079, Time  0.237343
2021-09-15 20:24:13.944978 : Epoch  1, Batch    613, Loss  0.639996, Average Loss  0.642063, Time  0.234481
2021-09-15 20:24:14.577640 : Epoch  2, Batch   1272, Loss  0.848133, Average Loss  0.871541, Time  0.265311
2021-09-15 20:24:15.458062 : Epoch  1, Batch    614, Loss  0.638776, Average Loss  0.642008, Time  0.234322
2021-09-15 20:24:16.971821 : Epoch  1, Batch    615, Loss  0.643480, Average Loss  0.642026, Time  0.238851
2021-09-15 20:24:17.598115 : Epoch  2, Batch   1273, Loss  0.857707, Average Loss  0.871401, Time  0.276724
2021-09-15 20:24:18.495496 : Epoch  1, Batch    616, Loss  0.642806, Average Loss  0.642075, Time  0.240010
2021-09-15 20:24:20.009029 : Epoch  1, Batch    617, Loss  0.634814, Average Loss  0.642007, Time  0.237766
2021-09-15 20:24:20.622088 : Epoch  2, Batch   1274, Loss  0.885745, Average Loss  0.871556, Time  0.265211
2021-09-15 20:24:21.525428 : Epoch  1, Batch    618, Loss  0.646106, Average Loss  0.641982, Time  0.239212
2021-09-15 20:24:23.061074 : Epoch  1, Batch    619, Loss  0.648663, Average Loss  0.642049, Time  0.236620
2021-09-15 20:24:23.618801 : Epoch  2, Batch   1275, Loss  0.880236, Average Loss  0.871498, Time  0.264829
2021-09-15 20:24:24.572415 : Epoch  1, Batch    620, Loss  0.644361, Average Loss  0.642016, Time  0.236584
2021-09-15 20:24:26.078929 : Epoch  1, Batch    621, Loss  0.634901, Average Loss  0.641986, Time  0.238947
2021-09-15 20:24:26.613684 : Epoch  2, Batch   1276, Loss  0.868168, Average Loss  0.871564, Time  0.265617
2021-09-15 20:24:27.584310 : Epoch  1, Batch    622, Loss  0.635225, Average Loss  0.641953, Time  0.236323
2021-09-15 20:24:29.090034 : Epoch  1, Batch    623, Loss  0.639412, Average Loss  0.641924, Time  0.237102
2021-09-15 20:24:29.637687 : Epoch  2, Batch   1277, Loss  0.877918, Average Loss  0.871657, Time  0.265722
2021-09-15 20:24:30.596021 : Epoch  1, Batch    624, Loss  0.637538, Average Loss  0.641902, Time  0.237427
2021-09-15 20:24:32.106734 : Epoch  1, Batch    625, Loss  0.632983, Average Loss  0.641887, Time  0.235389
2021-09-15 20:24:32.675631 : Epoch  2, Batch   1278, Loss  0.873461, Average Loss  0.871679, Time  0.266240
2021-09-15 20:24:33.609879 : Epoch  1, Batch    626, Loss  0.642639, Average Loss  0.641888, Time  0.234500
2021-09-15 20:24:35.117041 : Epoch  1, Batch    627, Loss  0.647104, Average Loss  0.641913, Time  0.238276
2021-09-15 20:24:35.716318 : Epoch  2, Batch   1279, Loss  0.867349, Average Loss  0.871667, Time  0.266789
2021-09-15 20:24:36.625880 : Epoch  1, Batch    628, Loss  0.641580, Average Loss  0.641903, Time  0.236926
2021-09-15 20:24:38.125337 : Epoch  1, Batch    629, Loss  0.641915, Average Loss  0.641918, Time  0.234262
2021-09-15 20:24:38.741300 : Epoch  2, Batch   1280, Loss  0.872210, Average Loss  0.871737, Time  0.266304
2021-09-15 20:24:39.634701 : Epoch  1, Batch    630, Loss  0.638135, Average Loss  0.641885, Time  0.235203
2021-09-15 20:24:41.146904 : Epoch  1, Batch    631, Loss  0.638534, Average Loss  0.641895, Time  0.234529
2021-09-15 20:24:41.763268 : Epoch  2, Batch   1281, Loss  0.855198, Average Loss  0.871610, Time  0.266646
2021-09-15 20:24:42.648552 : Epoch  1, Batch    632, Loss  0.635032, Average Loss  0.641850, Time  0.234550
2021-09-15 20:24:44.164363 : Epoch  1, Batch    633, Loss  0.632256, Average Loss  0.641821, Time  0.238465
2021-09-15 20:24:44.783362 : Epoch  2, Batch   1282, Loss  0.873212, Average Loss  0.871647, Time  0.265297
2021-09-15 20:24:45.675389 : Epoch  1, Batch    634, Loss  0.641427, Average Loss  0.641837, Time  0.237226
2021-09-15 20:24:47.188037 : Epoch  1, Batch    635, Loss  0.633729, Average Loss  0.641750, Time  0.237934
2021-09-15 20:24:47.774779 : Epoch  2, Batch   1283, Loss  0.873787, Average Loss  0.871674, Time  0.265462
2021-09-15 20:24:48.693107 : Epoch  1, Batch    636, Loss  0.644502, Average Loss  0.641768, Time  0.234408
2021-09-15 20:24:50.194622 : Epoch  1, Batch    637, Loss  0.637627, Average Loss  0.641694, Time  0.233955
2021-09-15 20:24:50.780673 : Epoch  2, Batch   1284, Loss  0.881187, Average Loss  0.871720, Time  0.265525
2021-09-15 20:24:51.698086 : Epoch  1, Batch    638, Loss  0.645832, Average Loss  0.641698, Time  0.233928
2021-09-15 20:24:53.213172 : Epoch  1, Batch    639, Loss  0.639464, Average Loss  0.641675, Time  0.234549
2021-09-15 20:24:53.775351 : Epoch  2, Batch   1285, Loss  0.894280, Average Loss  0.871823, Time  0.265199
2021-09-15 20:24:54.718006 : Epoch  1, Batch    640, Loss  0.631639, Average Loss  0.641577, Time  0.233954
2021-09-15 20:24:56.228953 : Epoch  1, Batch    641, Loss  0.648096, Average Loss  0.641575, Time  0.234620
2021-09-15 20:24:56.755187 : Epoch  2, Batch   1286, Loss  0.893541, Average Loss  0.871984, Time  0.264777
2021-09-15 20:24:57.736994 : Epoch  1, Batch    642, Loss  0.638985, Average Loss  0.641561, Time  0.234071
2021-09-15 20:24:59.244088 : Epoch  1, Batch    643, Loss  0.651196, Average Loss  0.641593, Time  0.234359
2021-09-15 20:24:59.764431 : Epoch  2, Batch   1287, Loss  0.860228, Average Loss  0.871882, Time  0.265932
2021-09-15 20:25:00.862351 : Epoch  1, Batch    644, Loss  0.644364, Average Loss  0.641589, Time  0.277331
2021-09-15 20:25:02.379806 : Epoch  1, Batch    645, Loss  0.641425, Average Loss  0.641610, Time  0.237972
2021-09-15 20:25:02.782559 : Epoch  2, Batch   1288, Loss  0.855990, Average Loss  0.871808, Time  0.272775
2021-09-15 20:25:03.896110 : Epoch  1, Batch    646, Loss  0.642812, Average Loss  0.641607, Time  0.245864
2021-09-15 20:25:05.412943 : Epoch  1, Batch    647, Loss  0.637736, Average Loss  0.641607, Time  0.236446
2021-09-15 20:25:05.790503 : Epoch  2, Batch   1289, Loss  0.867741, Average Loss  0.871774, Time  0.266017
2021-09-15 20:25:06.920902 : Epoch  1, Batch    648, Loss  0.648702, Average Loss  0.641642, Time  0.236292
2021-09-15 20:25:08.436563 : Epoch  1, Batch    649, Loss  0.649655, Average Loss  0.641689, Time  0.235473
2021-09-15 20:25:08.772580 : Epoch  2, Batch   1290, Loss  0.854232, Average Loss  0.871611, Time  0.265876
2021-09-15 20:25:09.936110 : Epoch  1, Batch    650, Loss  0.649452, Average Loss  0.641684, Time  0.236244
2021-09-15 20:25:11.449955 : Epoch  1, Batch    651, Loss  0.634969, Average Loss  0.641670, Time  0.236548
2021-09-15 20:25:11.758345 : Epoch  2, Batch   1291, Loss  0.868280, Average Loss  0.871567, Time  0.265112
2021-09-15 20:25:12.961907 : Epoch  1, Batch    652, Loss  0.646962, Average Loss  0.641726, Time  0.238547
2021-09-15 20:25:14.544353 : Epoch  1, Batch    653, Loss  0.648197, Average Loss  0.641765, Time  0.238452
2021-09-15 20:25:14.765337 : Epoch  2, Batch   1292, Loss  0.875924, Average Loss  0.871515, Time  0.266187
2021-09-15 20:25:16.041960 : Epoch  1, Batch    654, Loss  0.644044, Average Loss  0.641769, Time  0.235921
2021-09-15 20:25:17.555348 : Epoch  1, Batch    655, Loss  0.638525, Average Loss  0.641711, Time  0.237326
2021-09-15 20:25:17.754028 : Epoch  2, Batch   1293, Loss  0.879937, Average Loss  0.871615, Time  0.265705
2021-09-15 20:25:19.083964 : Epoch  1, Batch    656, Loss  0.632338, Average Loss  0.641696, Time  0.255629
2021-09-15 20:25:20.593772 : Epoch  1, Batch    657, Loss  0.644983, Average Loss  0.641658, Time  0.236366
2021-09-15 20:25:20.764203 : Epoch  2, Batch   1294, Loss  0.864952, Average Loss  0.871565, Time  0.266215
2021-09-15 20:25:22.121025 : Epoch  1, Batch    658, Loss  0.648273, Average Loss  0.641756, Time  0.237007
2021-09-15 20:25:23.632912 : Epoch  1, Batch    659, Loss  0.631004, Average Loss  0.641642, Time  0.237902
2021-09-15 20:25:23.754555 : Epoch  2, Batch   1295, Loss  0.875924, Average Loss  0.871713, Time  0.266110
2021-09-15 20:25:25.154354 : Epoch  1, Batch    660, Loss  0.638274, Average Loss  0.641641, Time  0.235684
2021-09-15 20:25:26.680988 : Epoch  1, Batch    661, Loss  0.634216, Average Loss  0.641610, Time  0.238159
2021-09-15 20:25:26.728460 : Epoch  2, Batch   1296, Loss  0.887282, Average Loss  0.871751, Time  0.265570
2021-09-15 20:25:28.198588 : Epoch  1, Batch    662, Loss  0.640327, Average Loss  0.641605, Time  0.237849
2021-09-15 20:25:29.712449 : Epoch  2, Batch   1297, Loss  0.869835, Average Loss  0.871755, Time  0.265005
2021-09-15 20:25:29.716911 : Epoch  1, Batch    663, Loss  0.640682, Average Loss  0.641592, Time  0.238153
2021-09-15 20:25:31.237295 : Epoch  1, Batch    664, Loss  0.635300, Average Loss  0.641564, Time  0.236319
2021-09-15 20:25:32.696778 : Epoch  2, Batch   1298, Loss  0.866204, Average Loss  0.871691, Time  0.265410
2021-09-15 20:25:32.749947 : Epoch  1, Batch    665, Loss  0.629145, Average Loss  0.641523, Time  0.234948
2021-09-15 20:25:34.261018 : Epoch  1, Batch    666, Loss  0.637413, Average Loss  0.641451, Time  0.237585
2021-09-15 20:25:35.690113 : Epoch  2, Batch   1299, Loss  0.855435, Average Loss  0.871609, Time  0.267508
2021-09-15 20:25:35.778362 : Epoch  1, Batch    667, Loss  0.638792, Average Loss  0.641449, Time  0.236835
2021-09-15 20:25:37.284399 : Epoch  1, Batch    668, Loss  0.646496, Average Loss  0.641460, Time  0.236547
2021-09-15 20:25:38.696375 : Epoch  2, Batch   1300, Loss  0.873468, Average Loss  0.871695, Time  0.265698
2021-09-15 20:25:38.795380 : Epoch  1, Batch    669, Loss  0.631972, Average Loss  0.641391, Time  0.237091
2021-09-15 20:25:40.303886 : Epoch  1, Batch    670, Loss  0.631675, Average Loss  0.641316, Time  0.239458
2021-09-15 20:25:41.712790 : Epoch  2, Batch   1301, Loss  0.884503, Average Loss  0.871799, Time  0.266192
2021-09-15 20:25:44.212788 : Epoch  1, Batch    671, Loss  0.640119, Average Loss  0.641339, Time  0.273718
2021-09-15 20:25:44.698360 : Epoch  2, Batch   1302, Loss  0.859794, Average Loss  0.871689, Time  0.265432
2021-09-15 20:25:45.724636 : Epoch  1, Batch    672, Loss  0.640419, Average Loss  0.641355, Time  0.250842
2021-09-15 20:25:47.232043 : Epoch  1, Batch    673, Loss  0.636843, Average Loss  0.641313, Time  0.239613
2021-09-15 20:25:47.727406 : Epoch  2, Batch   1303, Loss  0.878289, Average Loss  0.871668, Time  0.272892
2021-09-15 20:25:48.739959 : Epoch  1, Batch    674, Loss  0.637140, Average Loss  0.641322, Time  0.237102
2021-09-15 20:25:50.254836 : Epoch  1, Batch    675, Loss  0.633131, Average Loss  0.641315, Time  0.236631
2021-09-15 20:25:50.745441 : Epoch  2, Batch   1304, Loss  0.881384, Average Loss  0.871783, Time  0.266646
2021-09-15 20:25:51.753874 : Epoch  1, Batch    676, Loss  0.636397, Average Loss  0.641308, Time  0.237452
2021-09-15 20:25:53.258744 : Epoch  1, Batch    677, Loss  0.643391, Average Loss  0.641338, Time  0.237366
2021-09-15 20:25:53.777538 : Epoch  2, Batch   1305, Loss  0.874982, Average Loss  0.871794, Time  0.266527
2021-09-15 20:25:54.769858 : Epoch  1, Batch    678, Loss  0.637297, Average Loss  0.641267, Time  0.238989
2021-09-15 20:25:56.270935 : Epoch  1, Batch    679, Loss  0.637724, Average Loss  0.641240, Time  0.236971
2021-09-15 20:25:56.795961 : Epoch  2, Batch   1306, Loss  0.870615, Average Loss  0.871761, Time  0.266480
2021-09-15 20:25:57.770337 : Epoch  1, Batch    680, Loss  0.649855, Average Loss  0.641294, Time  0.237164
2021-09-15 20:25:59.266888 : Epoch  1, Batch    681, Loss  0.645557, Average Loss  0.641292, Time  0.236999
2021-09-15 20:25:59.811630 : Epoch  2, Batch   1307, Loss  0.883364, Average Loss  0.871828, Time  0.266680
2021-09-15 20:26:00.779355 : Epoch  1, Batch    682, Loss  0.642245, Average Loss  0.641275, Time  0.239401
2021-09-15 20:26:02.276780 : Epoch  1, Batch    683, Loss  0.638130, Average Loss  0.641312, Time  0.237131
2021-09-15 20:26:02.834931 : Epoch  2, Batch   1308, Loss  0.878518, Average Loss  0.871933, Time  0.265904
2021-09-15 20:26:03.791830 : Epoch  1, Batch    684, Loss  0.620704, Average Loss  0.641195, Time  0.237503
2021-09-15 20:26:05.385823 : Epoch  1, Batch    685, Loss  0.638533, Average Loss  0.641184, Time  0.236740
2021-09-15 20:26:05.867876 : Epoch  2, Batch   1309, Loss  0.886542, Average Loss  0.872026, Time  0.265927
2021-09-15 20:26:06.896373 : Epoch  1, Batch    686, Loss  0.636064, Average Loss  0.641197, Time  0.239160
2021-09-15 20:26:08.405924 : Epoch  1, Batch    687, Loss  0.650137, Average Loss  0.641219, Time  0.238579
2021-09-15 20:26:08.866120 : Epoch  2, Batch   1310, Loss  0.879744, Average Loss  0.871995, Time  0.265003
2021-09-15 20:26:09.913354 : Epoch  1, Batch    688, Loss  0.643473, Average Loss  0.641211, Time  0.237040
2021-09-15 20:26:11.414133 : Epoch  1, Batch    689, Loss  0.632243, Average Loss  0.641149, Time  0.236366
2021-09-15 20:26:11.858749 : Epoch  2, Batch   1311, Loss  0.878313, Average Loss  0.872001, Time  0.265762
2021-09-15 20:26:12.922848 : Epoch  1, Batch    690, Loss  0.647926, Average Loss  0.641174, Time  0.234316
2021-09-15 20:26:14.441879 : Epoch  1, Batch    691, Loss  0.633006, Average Loss  0.641105, Time  0.237082
2021-09-15 20:26:14.838548 : Epoch  2, Batch   1312, Loss  0.858899, Average Loss  0.872007, Time  0.265314
2021-09-15 20:26:15.957397 : Epoch  1, Batch    692, Loss  0.645938, Average Loss  0.641139, Time  0.238745
2021-09-15 20:26:17.474209 : Epoch  1, Batch    693, Loss  0.643907, Average Loss  0.641188, Time  0.236346
2021-09-15 20:26:17.815073 : Epoch  2, Batch   1313, Loss  0.863585, Average Loss  0.872171, Time  0.265330
2021-09-15 20:26:18.987044 : Epoch  1, Batch    694, Loss  0.636192, Average Loss  0.641121, Time  0.237923
2021-09-15 20:26:20.499079 : Epoch  1, Batch    695, Loss  0.636940, Average Loss  0.641061, Time  0.241047
2021-09-15 20:26:20.820064 : Epoch  2, Batch   1314, Loss  0.857790, Average Loss  0.872134, Time  0.266479
2021-09-15 20:26:22.005877 : Epoch  1, Batch    696, Loss  0.642612, Average Loss  0.641018, Time  0.236532
2021-09-15 20:26:23.498706 : Epoch  1, Batch    697, Loss  0.643802, Average Loss  0.641037, Time  0.233924
2021-09-15 20:26:23.842464 : Epoch  2, Batch   1315, Loss  0.863273, Average Loss  0.872154, Time  0.265455
2021-09-15 20:26:24.995882 : Epoch  1, Batch    698, Loss  0.637636, Average Loss  0.641053, Time  0.238768
2021-09-15 20:26:26.498605 : Epoch  1, Batch    699, Loss  0.633394, Average Loss  0.640997, Time  0.234088
2021-09-15 20:26:26.849667 : Epoch  2, Batch   1316, Loss  0.852895, Average Loss  0.872067, Time  0.266561
2021-09-15 20:26:28.001867 : Epoch  1, Batch    700, Loss  0.636589, Average Loss  0.640975, Time  0.235919
2021-09-15 20:26:29.826847 : Epoch  2, Batch   1317, Loss  0.862697, Average Loss  0.871998, Time  0.265388
2021-09-15 20:26:32.829194 : Epoch  2, Batch   1318, Loss  0.886510, Average Loss  0.872036, Time  0.274209
2021-09-15 20:26:35.825997 : Epoch  2, Batch   1319, Loss  0.867370, Average Loss  0.872115, Time  0.267143
2021-09-15 20:26:38.820650 : Epoch  2, Batch   1320, Loss  0.873389, Average Loss  0.872213, Time  0.265755
2021-09-15 20:26:41.825840 : Epoch  2, Batch   1321, Loss  0.885747, Average Loss  0.872114, Time  0.267435
2021-09-15 20:26:44.832095 : Epoch  2, Batch   1322, Loss  0.830256, Average Loss  0.871932, Time  0.265559
2021-09-15 20:26:47.816206 : Epoch  2, Batch   1323, Loss  0.875611, Average Loss  0.871841, Time  0.265025
2021-09-15 20:26:50.809839 : Epoch  2, Batch   1324, Loss  0.866700, Average Loss  0.871853, Time  0.265064
2021-09-15 20:26:53.840052 : Epoch  2, Batch   1325, Loss  0.891163, Average Loss  0.871894, Time  0.267398
2021-09-15 20:26:56.845576 : Epoch  2, Batch   1326, Loss  0.861391, Average Loss  0.871757, Time  0.265538
2021-09-15 20:26:59.828692 : Epoch  2, Batch   1327, Loss  0.865702, Average Loss  0.871718, Time  0.266119
2021-09-15 20:27:02.824993 : Epoch  2, Batch   1328, Loss  0.876671, Average Loss  0.871826, Time  0.265005
2021-09-15 20:27:05.811109 : Epoch  2, Batch   1329, Loss  0.855906, Average Loss  0.871518, Time  0.265534
2021-09-15 20:27:08.790180 : Epoch  2, Batch   1330, Loss  0.874194, Average Loss  0.871497, Time  0.265379
2021-09-15 20:27:11.811049 : Epoch  2, Batch   1331, Loss  0.884128, Average Loss  0.871509, Time  0.264863
2021-09-15 20:27:14.822065 : Epoch  2, Batch   1332, Loss  0.862169, Average Loss  0.871429, Time  0.265648
2021-09-15 20:27:17.819923 : Epoch  2, Batch   1333, Loss  0.890026, Average Loss  0.871474, Time  0.271490
2021-09-15 20:27:20.831964 : Epoch  2, Batch   1334, Loss  0.857206, Average Loss  0.871431, Time  0.266245
2021-09-15 20:27:23.813716 : CheckPoint: Validation Loss  0.00026362, Best Loss  0.00026134
2021-09-15 20:27:23.839650 : Epoch  2, Batch   1335, Loss  0.891552, Average Loss  0.871561, Time  0.265028
2021-09-15 20:27:25.328950 : Epoch  1, Batch    701, Loss  0.638920, Average Loss  0.641022, Time  0.239743
2021-09-15 20:27:26.828913 : Epoch  2, Batch   1336, Loss  0.870969, Average Loss  0.871430, Time  0.264129
2021-09-15 20:27:26.834990 : Epoch  1, Batch    702, Loss  0.631001, Average Loss  0.640939, Time  0.236467
2021-09-15 20:27:28.367815 : Epoch  1, Batch    703, Loss  0.645485, Average Loss  0.640970, Time  0.239464
2021-09-15 20:27:29.805718 : Epoch  2, Batch   1337, Loss  0.872992, Average Loss  0.871471, Time  0.264694
2021-09-15 20:27:29.883886 : Epoch  1, Batch    704, Loss  0.646754, Average Loss  0.640977, Time  0.238068
2021-09-15 20:27:31.398341 : Epoch  1, Batch    705, Loss  0.638856, Average Loss  0.641025, Time  0.236961
2021-09-15 20:27:32.837319 : Epoch  2, Batch   1338, Loss  0.882754, Average Loss  0.871514, Time  0.267115
2021-09-15 20:27:32.913336 : Epoch  1, Batch    706, Loss  0.637855, Average Loss  0.640985, Time  0.239032
2021-09-15 20:27:34.424754 : Epoch  1, Batch    707, Loss  0.639877, Average Loss  0.640922, Time  0.237453
2021-09-15 20:27:35.838829 : Epoch  2, Batch   1339, Loss  0.868718, Average Loss  0.871500, Time  0.266725
2021-09-15 20:27:35.944862 : Epoch  1, Batch    708, Loss  0.636258, Average Loss  0.640909, Time  0.237196
2021-09-15 20:27:37.451758 : Epoch  1, Batch    709, Loss  0.631102, Average Loss  0.640861, Time  0.239211
2021-09-15 20:27:38.854923 : Epoch  2, Batch   1340, Loss  0.849752, Average Loss  0.871368, Time  0.266426
2021-09-15 20:27:38.970979 : Epoch  1, Batch    710, Loss  0.645344, Average Loss  0.640838, Time  0.237201
2021-09-15 20:27:40.494404 : Epoch  1, Batch    711, Loss  0.645151, Average Loss  0.640851, Time  0.239370
2021-09-15 20:27:41.841810 : Epoch  2, Batch   1341, Loss  0.890691, Average Loss  0.871418, Time  0.265183
2021-09-15 20:27:42.020067 : Epoch  1, Batch    712, Loss  0.633085, Average Loss  0.640822, Time  0.245310
2021-09-15 20:27:43.533763 : Epoch  1, Batch    713, Loss  0.636704, Average Loss  0.640813, Time  0.238725
2021-09-15 20:27:44.835895 : Epoch  2, Batch   1342, Loss  0.879615, Average Loss  0.871457, Time  0.266150
2021-09-15 20:27:45.047345 : Epoch  1, Batch    714, Loss  0.637572, Average Loss  0.640806, Time  0.237271
2021-09-15 20:27:46.552406 : Epoch  1, Batch    715, Loss  0.646506, Average Loss  0.640853, Time  0.236954
2021-09-15 20:27:47.816804 : Epoch  2, Batch   1343, Loss  0.876788, Average Loss  0.871501, Time  0.264916
2021-09-15 20:27:48.072115 : Epoch  1, Batch    716, Loss  0.637782, Average Loss  0.640796, Time  0.237190
2021-09-15 20:27:49.586784 : Epoch  1, Batch    717, Loss  0.643326, Average Loss  0.640796, Time  0.237298
2021-09-15 20:27:50.815497 : Epoch  2, Batch   1344, Loss  0.880074, Average Loss  0.871535, Time  0.265769
2021-09-15 20:27:51.105253 : Epoch  1, Batch    718, Loss  0.640063, Average Loss  0.640817, Time  0.236960
2021-09-15 20:27:52.634909 : Epoch  1, Batch    719, Loss  0.642476, Average Loss  0.640823, Time  0.236851
2021-09-15 20:27:54.149321 : Epoch  1, Batch    720, Loss  0.627149, Average Loss  0.640696, Time  0.238423
2021-09-15 20:27:55.654352 : Epoch  1, Batch    721, Loss  0.640943, Average Loss  0.640717, Time  0.238484
2021-09-15 20:27:57.172355 : Epoch  1, Batch    722, Loss  0.641357, Average Loss  0.640694, Time  0.237631
2021-09-15 20:27:58.687052 : Epoch  1, Batch    723, Loss  0.649402, Average Loss  0.640753, Time  0.234075
2021-09-15 20:28:00.210315 : Epoch  1, Batch    724, Loss  0.640958, Average Loss  0.640744, Time  0.239688
2021-09-15 20:28:01.726395 : Epoch  1, Batch    725, Loss  0.644471, Average Loss  0.640803, Time  0.238960
2021-09-15 20:28:03.230907 : Epoch  1, Batch    726, Loss  0.637395, Average Loss  0.640744, Time  0.237850
2021-09-15 20:28:04.743034 : Epoch  1, Batch    727, Loss  0.631123, Average Loss  0.640699, Time  0.237571
2021-09-15 20:28:06.246996 : Epoch  1, Batch    728, Loss  0.646224, Average Loss  0.640762, Time  0.234695
2021-09-15 20:28:07.751342 : Epoch  1, Batch    729, Loss  0.652068, Average Loss  0.640762, Time  0.234500
2021-09-15 20:28:09.255147 : Epoch  1, Batch    730, Loss  0.640182, Average Loss  0.640793, Time  0.234569
2021-09-15 20:28:10.766789 : Epoch  1, Batch    731, Loss  0.644089, Average Loss  0.640791, Time  0.234670
2021-09-15 20:28:12.275718 : Epoch  1, Batch    732, Loss  0.640092, Average Loss  0.640856, Time  0.235122
2021-09-15 20:28:13.777117 : Epoch  1, Batch    733, Loss  0.629275, Average Loss  0.640787, Time  0.234932
2021-09-15 20:28:15.290836 : Epoch  1, Batch    734, Loss  0.643918, Average Loss  0.640797, Time  0.234756
2021-09-15 20:28:16.804147 : Epoch  1, Batch    735, Loss  0.643565, Average Loss  0.640787, Time  0.237717
2021-09-15 20:28:18.311869 : Epoch  1, Batch    736, Loss  0.643569, Average Loss  0.640800, Time  0.234460
2021-09-15 20:28:19.815788 : Epoch  1, Batch    737, Loss  0.633331, Average Loss  0.640748, Time  0.234216
2021-09-15 20:28:21.322312 : Epoch  1, Batch    738, Loss  0.633182, Average Loss  0.640704, Time  0.235488
2021-09-15 20:28:22.831939 : Epoch  1, Batch    739, Loss  0.637464, Average Loss  0.640741, Time  0.234242
2021-09-15 20:28:24.340711 : Epoch  1, Batch    740, Loss  0.634722, Average Loss  0.640703, Time  0.234418
2021-09-15 20:28:25.853928 : Epoch  1, Batch    741, Loss  0.644422, Average Loss  0.640739, Time  0.234920
2021-09-15 20:28:27.361618 : Epoch  1, Batch    742, Loss  0.632100, Average Loss  0.640729, Time  0.234278
2021-09-15 20:28:28.864704 : Epoch  1, Batch    743, Loss  0.641870, Average Loss  0.640719, Time  0.234282
2021-09-15 20:28:30.382728 : Epoch  1, Batch    744, Loss  0.639700, Average Loss  0.640692, Time  0.236562
2021-09-15 20:28:31.895041 : Epoch  1, Batch    745, Loss  0.648842, Average Loss  0.640748, Time  0.235053
2021-09-15 20:28:33.403753 : Epoch  1, Batch    746, Loss  0.648160, Average Loss  0.640807, Time  0.234462
2021-09-15 20:28:34.918129 : Epoch  1, Batch    747, Loss  0.626102, Average Loss  0.640700, Time  0.235082
2021-09-15 20:28:36.507393 : Epoch  1, Batch    748, Loss  0.639916, Average Loss  0.640669, Time  0.234718
2021-09-15 20:28:38.019352 : Epoch  1, Batch    749, Loss  0.641792, Average Loss  0.640653, Time  0.237650
2021-09-15 20:28:39.537345 : Epoch  1, Batch    750, Loss  0.648624, Average Loss  0.640652, Time  0.239292
2021-09-15 20:28:41.064726 : Epoch  1, Batch    751, Loss  0.635292, Average Loss  0.640645, Time  0.237118
2021-09-15 20:28:42.576443 : Epoch  1, Batch    752, Loss  0.637563, Average Loss  0.640620, Time  0.237350
2021-09-15 20:28:44.094551 : Epoch  1, Batch    753, Loss  0.639853, Average Loss  0.640582, Time  0.236551
2021-09-15 20:28:45.622165 : Epoch  1, Batch    754, Loss  0.641192, Average Loss  0.640563, Time  0.254533
2021-09-15 20:28:47.306010 : Epoch  1, Batch    755, Loss  0.638845, Average Loss  0.640571, Time  0.243324
2021-09-15 20:28:48.844955 : Epoch  1, Batch    756, Loss  0.641424, Average Loss  0.640554, Time  0.237880
2021-09-15 20:28:50.376460 : Epoch  1, Batch    757, Loss  0.627089, Average Loss  0.640496, Time  0.238348
2021-09-15 20:28:51.893979 : Epoch  1, Batch    758, Loss  0.642287, Average Loss  0.640456, Time  0.237603
2021-09-15 20:28:53.422023 : Epoch  1, Batch    759, Loss  0.634554, Average Loss  0.640410, Time  0.236728
2021-09-15 20:28:54.942011 : Epoch  1, Batch    760, Loss  0.642167, Average Loss  0.640386, Time  0.239371
2021-09-15 20:28:56.460980 : Epoch  1, Batch    761, Loss  0.638999, Average Loss  0.640366, Time  0.237808
2021-09-15 20:28:57.969804 : Epoch  1, Batch    762, Loss  0.643971, Average Loss  0.640389, Time  0.237922
2021-09-15 20:28:59.486966 : Epoch  1, Batch    763, Loss  0.639384, Average Loss  0.640371, Time  0.238149
2021-09-15 20:29:01.006954 : Epoch  1, Batch    764, Loss  0.636920, Average Loss  0.640319, Time  0.236923
2021-09-15 20:29:02.531834 : Epoch  1, Batch    765, Loss  0.638481, Average Loss  0.640304, Time  0.237673
2021-09-15 20:29:04.072194 : Epoch  1, Batch    766, Loss  0.633581, Average Loss  0.640285, Time  0.249591
2021-09-15 20:29:05.604806 : Epoch  1, Batch    767, Loss  0.644518, Average Loss  0.640280, Time  0.237753
2021-09-15 20:29:07.129095 : Epoch  1, Batch    768, Loss  0.643634, Average Loss  0.640308, Time  0.239985
2021-09-15 20:29:08.646063 : Epoch  1, Batch    769, Loss  0.635621, Average Loss  0.640288, Time  0.235622
2021-09-15 20:29:10.157421 : Epoch  1, Batch    770, Loss  0.640763, Average Loss  0.640265, Time  0.238864
2021-09-15 20:29:14.018256 : Epoch  1, Batch    771, Loss  0.649289, Average Loss  0.640279, Time  0.254850
2021-09-15 20:29:15.525345 : Epoch  1, Batch    772, Loss  0.637083, Average Loss  0.640256, Time  0.236403
2021-09-15 20:29:17.031959 : Epoch  1, Batch    773, Loss  0.633747, Average Loss  0.640218, Time  0.237438
2021-09-15 20:29:18.546987 : Epoch  1, Batch    774, Loss  0.636821, Average Loss  0.640236, Time  0.237300
2021-09-15 20:29:20.069590 : Epoch  1, Batch    775, Loss  0.644315, Average Loss  0.640252, Time  0.238152
2021-09-15 20:29:21.593352 : Epoch  1, Batch    776, Loss  0.646201, Average Loss  0.640260, Time  0.240440
2021-09-15 20:29:23.114358 : Epoch  1, Batch    777, Loss  0.644898, Average Loss  0.640313, Time  0.238381
2021-09-15 20:29:24.635923 : Epoch  1, Batch    778, Loss  0.632188, Average Loss  0.640269, Time  0.239730
2021-09-15 20:29:26.149071 : Epoch  1, Batch    779, Loss  0.646232, Average Loss  0.640272, Time  0.236041
2021-09-15 20:29:27.677834 : Epoch  1, Batch    780, Loss  0.641179, Average Loss  0.640254, Time  0.238513
2021-09-15 20:29:29.276806 : Epoch  1, Batch    781, Loss  0.647708, Average Loss  0.640295, Time  0.238008
2021-09-15 20:29:30.794372 : Epoch  1, Batch    782, Loss  0.636247, Average Loss  0.640259, Time  0.236989
2021-09-15 20:29:32.322769 : Epoch  1, Batch    783, Loss  0.639702, Average Loss  0.640234, Time  0.237494
2021-09-15 20:29:33.850603 : Epoch  1, Batch    784, Loss  0.640346, Average Loss  0.640209, Time  0.236798
2021-09-15 20:29:35.371131 : Epoch  1, Batch    785, Loss  0.629177, Average Loss  0.640163, Time  0.238267
2021-09-15 20:29:36.884873 : Epoch  1, Batch    786, Loss  0.647329, Average Loss  0.640212, Time  0.237506
2021-09-15 20:29:38.399043 : Epoch  1, Batch    787, Loss  0.640549, Average Loss  0.640181, Time  0.235982
2021-09-15 20:29:38.432670 : Saving Model after 1-th Epoch.
2021-09-15 20:29:39.360615 : Epoch Finished.
2021-09-15 20:29:41.703883 : Batch Shuffled
2021-09-15 20:29:43.232934 : Epoch  2, Batch      1, Loss  0.640382, Average Loss  0.640189, Time  0.241829
2021-09-15 20:29:44.737924 : Epoch  2, Batch      2, Loss  0.641096, Average Loss  0.640216, Time  0.238293
2021-09-15 20:29:46.245763 : Epoch  2, Batch      3, Loss  0.635854, Average Loss  0.640168, Time  0.240941
2021-09-15 20:29:47.746599 : Epoch  2, Batch      4, Loss  0.636119, Average Loss  0.640127, Time  0.235725
2021-09-15 20:29:49.245623 : Epoch  2, Batch      5, Loss  0.648570, Average Loss  0.640146, Time  0.234473
2021-09-15 20:29:50.753134 : Epoch  2, Batch      6, Loss  0.648887, Average Loss  0.640225, Time  0.242807
2021-09-15 20:29:52.271988 : Epoch  2, Batch      7, Loss  0.638386, Average Loss  0.640196, Time  0.234771
2021-09-15 20:29:53.771915 : Epoch  2, Batch      8, Loss  0.620373, Average Loss  0.640075, Time  0.234841
2021-09-15 20:29:55.287250 : Epoch  2, Batch      9, Loss  0.637927, Average Loss  0.640071, Time  0.234390
2021-09-15 20:29:56.789318 : Epoch  2, Batch     10, Loss  0.637773, Average Loss  0.640023, Time  0.234630
2021-09-15 20:29:58.289629 : Epoch  2, Batch     11, Loss  0.646945, Average Loss  0.639961, Time  0.234316
2021-09-15 20:29:59.799803 : Epoch  2, Batch     12, Loss  0.634154, Average Loss  0.639956, Time  0.234535
2021-09-15 20:30:01.306152 : Epoch  2, Batch     13, Loss  0.645567, Average Loss  0.639988, Time  0.234639
2021-09-15 20:30:57.566990 : CheckPoint: Validation Loss  0.00026422, Best Loss  0.00026134
2021-09-15 20:30:59.095979 : Epoch  2, Batch     14, Loss  0.639805, Average Loss  0.640022, Time  0.238554
2021-09-15 20:31:00.618849 : Epoch  2, Batch     15, Loss  0.646866, Average Loss  0.640072, Time  0.237309
2021-09-15 20:31:02.127799 : Epoch  2, Batch     16, Loss  0.629492, Average Loss  0.639954, Time  0.236811
2021-09-15 20:31:03.636856 : Epoch  2, Batch     17, Loss  0.645766, Average Loss  0.639976, Time  0.239569
2021-09-15 20:31:05.156372 : Epoch  2, Batch     18, Loss  0.643327, Average Loss  0.640018, Time  0.236859
2021-09-15 20:31:06.676365 : Epoch  2, Batch     19, Loss  0.632976, Average Loss  0.640015, Time  0.236183
2021-09-15 20:31:08.185755 : Epoch  2, Batch     20, Loss  0.634941, Average Loss  0.640001, Time  0.238253
2021-09-15 20:31:09.695287 : Epoch  2, Batch     21, Loss  0.640755, Average Loss  0.639994, Time  0.235732
2021-09-15 20:31:11.196620 : Epoch  2, Batch     22, Loss  0.643337, Average Loss  0.639999, Time  0.236300
2021-09-15 20:31:12.720896 : Epoch  2, Batch     23, Loss  0.640733, Average Loss  0.639991, Time  0.237309
2021-09-15 20:31:14.232345 : Epoch  2, Batch     24, Loss  0.632573, Average Loss  0.639892, Time  0.237144
2021-09-15 20:31:15.738099 : Epoch  2, Batch     25, Loss  0.634352, Average Loss  0.639800, Time  0.237514
2021-09-15 20:31:17.249593 : Epoch  2, Batch     26, Loss  0.636785, Average Loss  0.639784, Time  0.236939
2021-09-15 20:31:18.750842 : Epoch  2, Batch     27, Loss  0.646004, Average Loss  0.639820, Time  0.234361
2021-09-15 20:31:20.300862 : Epoch  2, Batch     28, Loss  0.649737, Average Loss  0.639852, Time  0.236642
2021-09-15 20:31:21.818827 : Epoch  2, Batch     29, Loss  0.636938, Average Loss  0.639822, Time  0.237162
2021-09-15 20:31:23.339885 : Epoch  2, Batch     30, Loss  0.653514, Average Loss  0.639916, Time  0.237157
2021-09-15 20:31:24.868883 : Epoch  2, Batch     31, Loss  0.640286, Average Loss  0.639887, Time  0.236688
2021-09-15 20:31:26.389902 : Epoch  2, Batch     32, Loss  0.634633, Average Loss  0.639817, Time  0.244324
2021-09-15 20:31:27.909956 : Epoch  2, Batch     33, Loss  0.641576, Average Loss  0.639803, Time  0.236401
2021-09-15 20:31:29.434001 : Epoch  2, Batch     34, Loss  0.637703, Average Loss  0.639817, Time  0.238319
2021-09-15 20:31:30.950787 : Epoch  2, Batch     35, Loss  0.641572, Average Loss  0.639848, Time  0.238114
2021-09-15 20:31:32.489724 : Epoch  2, Batch     36, Loss  0.641665, Average Loss  0.639860, Time  0.236473
2021-09-15 20:31:33.999147 : Epoch  2, Batch     37, Loss  0.638476, Average Loss  0.639864, Time  0.237149
2021-09-15 20:31:35.583840 : Epoch  2, Batch     38, Loss  0.646303, Average Loss  0.639931, Time  0.254201
2021-09-15 20:31:37.246008 : Epoch  2, Batch     39, Loss  0.640148, Average Loss  0.639919, Time  0.256282
2021-09-15 20:31:38.923727 : Epoch  2, Batch     40, Loss  0.651385, Average Loss  0.639940, Time  0.254460
2021-09-15 20:31:40.602954 : Epoch  2, Batch     41, Loss  0.641291, Average Loss  0.639938, Time  0.260225
2021-09-15 20:31:42.191058 : Epoch  2, Batch     42, Loss  0.638716, Average Loss  0.639922, Time  0.242535
2021-09-15 20:31:43.744278 : Epoch  2, Batch     43, Loss  0.642009, Average Loss  0.639942, Time  0.238950
2021-09-15 20:31:45.302143 : Epoch  2, Batch     44, Loss  0.641167, Average Loss  0.639955, Time  0.240467
2021-09-15 20:31:47.011167 : Epoch  2, Batch     45, Loss  0.639169, Average Loss  0.639976, Time  0.256331
2021-09-15 20:31:48.710044 : Epoch  2, Batch     46, Loss  0.632546, Average Loss  0.639977, Time  0.255313
2021-09-15 20:31:50.401776 : Epoch  2, Batch     47, Loss  0.635045, Average Loss  0.639945, Time  0.256179
2021-09-15 20:31:51.956244 : Epoch  2, Batch     48, Loss  0.641119, Average Loss  0.639982, Time  0.240339
2021-09-15 20:31:53.520584 : Epoch  2, Batch     49, Loss  0.642136, Average Loss  0.639970, Time  0.252528
2021-09-15 20:31:55.091128 : Epoch  2, Batch     50, Loss  0.644237, Average Loss  0.640003, Time  0.240775
2021-09-15 20:31:56.619817 : Epoch  2, Batch     51, Loss  0.646713, Average Loss  0.640008, Time  0.239474
2021-09-15 20:31:58.145768 : Epoch  2, Batch     52, Loss  0.639910, Average Loss  0.640010, Time  0.239661
2021-09-15 20:31:59.685390 : Epoch  2, Batch     53, Loss  0.652189, Average Loss  0.640113, Time  0.237507
2021-09-15 20:32:01.207536 : Epoch  2, Batch     54, Loss  0.649652, Average Loss  0.640121, Time  0.237794
2021-09-15 20:32:02.730784 : Epoch  2, Batch     55, Loss  0.641353, Average Loss  0.640132, Time  0.239482
2021-09-15 20:32:04.260019 : Epoch  2, Batch     56, Loss  0.634898, Average Loss  0.640051, Time  0.237890
2021-09-15 20:32:05.777761 : Epoch  2, Batch     57, Loss  0.643298, Average Loss  0.640046, Time  0.236792
2021-09-15 20:32:07.294385 : Epoch  2, Batch     58, Loss  0.637603, Average Loss  0.640026, Time  0.238763
2021-09-15 20:32:08.812379 : Epoch  2, Batch     59, Loss  0.644215, Average Loss  0.640034, Time  0.236759
2021-09-15 20:32:10.333731 : Epoch  2, Batch     60, Loss  0.646629, Average Loss  0.640078, Time  0.237330
2021-09-15 20:32:11.851842 : Epoch  2, Batch     61, Loss  0.639551, Average Loss  0.640032, Time  0.234377
2021-09-15 20:32:13.369158 : Epoch  2, Batch     62, Loss  0.639168, Average Loss  0.639980, Time  0.236058
2021-09-15 20:32:14.882462 : Epoch  2, Batch     63, Loss  0.634848, Average Loss  0.639907, Time  0.238334
2021-09-15 20:32:16.399105 : Epoch  2, Batch     64, Loss  0.635541, Average Loss  0.639910, Time  0.238055
2021-09-15 20:32:17.918383 : Epoch  2, Batch     65, Loss  0.642029, Average Loss  0.639885, Time  0.236960
2021-09-15 20:32:19.445174 : Epoch  2, Batch     66, Loss  0.644284, Average Loss  0.639865, Time  0.238679
2021-09-15 20:32:20.978394 : Epoch  2, Batch     67, Loss  0.642095, Average Loss  0.639856, Time  0.236603
2021-09-15 20:32:22.508223 : Epoch  2, Batch     68, Loss  0.643505, Average Loss  0.639881, Time  0.236879
2021-09-15 20:32:24.061177 : Epoch  2, Batch     69, Loss  0.637194, Average Loss  0.639905, Time  0.238266
2021-09-15 20:32:25.589825 : Epoch  2, Batch     70, Loss  0.645563, Average Loss  0.639908, Time  0.239976
2021-09-15 20:32:27.111398 : Epoch  2, Batch     71, Loss  0.635907, Average Loss  0.639846, Time  0.237037
2021-09-15 20:32:28.629927 : Epoch  2, Batch     72, Loss  0.654107, Average Loss  0.639961, Time  0.238301
2021-09-15 20:32:30.088148 : CheckPoint: Validation Loss  0.00030679, Best Loss  0.00029628
2021-09-15 20:32:30.180130 : Epoch  2, Batch     73, Loss  0.635091, Average Loss  0.639946, Time  0.237565
2021-09-15 20:32:31.696399 : Epoch  2, Batch     74, Loss  0.645101, Average Loss  0.640000, Time  0.237788
2021-09-15 20:32:33.084218 : Epoch  2, Batch   1345, Loss  0.874878, Average Loss  0.871591, Time  0.266659
2021-09-15 20:32:33.228255 : Epoch  2, Batch     75, Loss  0.644030, Average Loss  0.640018, Time  0.237136
2021-09-15 20:32:34.741981 : Epoch  2, Batch     76, Loss  0.642178, Average Loss  0.640026, Time  0.238946
2021-09-15 20:32:36.102643 : Epoch  2, Batch   1346, Loss  0.860279, Average Loss  0.871574, Time  0.265311
2021-09-15 20:32:36.260287 : Epoch  2, Batch     77, Loss  0.636367, Average Loss  0.640031, Time  0.235623
2021-09-15 20:32:37.781135 : Epoch  2, Batch     78, Loss  0.644082, Average Loss  0.640106, Time  0.246234
2021-09-15 20:32:39.116901 : Epoch  2, Batch   1347, Loss  0.869341, Average Loss  0.871649, Time  0.277659
2021-09-15 20:32:39.303362 : Epoch  2, Batch     79, Loss  0.638968, Average Loss  0.640114, Time  0.236495
2021-09-15 20:32:40.815795 : Epoch  2, Batch     80, Loss  0.656600, Average Loss  0.640203, Time  0.237663
2021-09-15 20:32:42.112670 : Epoch  2, Batch   1348, Loss  0.877461, Average Loss  0.871709, Time  0.264930
2021-09-15 20:32:42.325569 : Epoch  2, Batch     81, Loss  0.643527, Average Loss  0.640188, Time  0.237570
2021-09-15 20:32:43.852773 : Epoch  2, Batch     82, Loss  0.638722, Average Loss  0.640222, Time  0.238584
2021-09-15 20:32:45.175783 : Epoch  2, Batch   1349, Loss  0.876797, Average Loss  0.871659, Time  0.265420
2021-09-15 20:32:45.385383 : Epoch  2, Batch     83, Loss  0.634647, Average Loss  0.640237, Time  0.236672
2021-09-15 20:32:48.207343 : Epoch  2, Batch   1350, Loss  0.861730, Average Loss  0.871604, Time  0.265152
2021-09-15 20:32:49.269357 : Epoch  2, Batch     84, Loss  0.643945, Average Loss  0.640256, Time  0.256026
2021-09-15 20:32:50.769370 : Epoch  2, Batch     85, Loss  0.647434, Average Loss  0.640291, Time  0.237076
2021-09-15 20:32:51.220485 : Epoch  2, Batch   1351, Loss  0.869863, Average Loss  0.871580, Time  0.265724
2021-09-15 20:32:52.266556 : Epoch  2, Batch     86, Loss  0.646500, Average Loss  0.640339, Time  0.236892
2021-09-15 20:32:53.763421 : Epoch  2, Batch     87, Loss  0.640562, Average Loss  0.640356, Time  0.237214
2021-09-15 20:32:53.915968 : Epoch  2, Batch     88, Loss  0.534210, Average Loss  0.639862, Time  0.106689
2021-09-15 20:32:54.259179 : Epoch  2, Batch   1352, Loss  0.865578, Average Loss  0.871470, Time  0.266238
2021-09-15 20:32:55.410771 : Epoch  2, Batch     89, Loss  0.639676, Average Loss  0.639878, Time  0.239315
2021-09-15 20:32:56.925204 : Epoch  2, Batch     90, Loss  0.631131, Average Loss  0.639817, Time  0.237401
2021-09-15 20:32:57.275910 : Epoch  2, Batch   1353, Loss  0.868101, Average Loss  0.871439, Time  0.266181
2021-09-15 20:32:58.444392 : Epoch  2, Batch     91, Loss  0.644013, Average Loss  0.639850, Time  0.237160
2021-09-15 20:32:59.962054 : Epoch  2, Batch     92, Loss  0.651489, Average Loss  0.639919, Time  0.237136
2021-09-15 20:33:00.278068 : Epoch  2, Batch   1354, Loss  0.862521, Average Loss  0.871372, Time  0.265751
2021-09-15 20:33:01.487046 : Epoch  2, Batch     93, Loss  0.641503, Average Loss  0.639877, Time  0.237256
2021-09-15 20:33:03.008916 : Epoch  2, Batch     94, Loss  0.641426, Average Loss  0.639857, Time  0.240103
2021-09-15 20:33:03.262900 : Epoch  2, Batch   1355, Loss  0.870691, Average Loss  0.871302, Time  0.265583
2021-09-15 20:33:04.529482 : Epoch  2, Batch     95, Loss  0.642888, Average Loss  0.639860, Time  0.236781
2021-09-15 20:33:06.042889 : Epoch  2, Batch     96, Loss  0.637229, Average Loss  0.639855, Time  0.238541
2021-09-15 20:33:06.267933 : Epoch  2, Batch   1356, Loss  0.882815, Average Loss  0.871371, Time  0.266022
2021-09-15 20:33:07.559257 : Epoch  2, Batch     97, Loss  0.644168, Average Loss  0.639973, Time  0.236416
2021-09-15 20:33:09.069051 : Epoch  2, Batch     98, Loss  0.642418, Average Loss  0.639992, Time  0.233932
2021-09-15 20:33:09.267055 : Epoch  2, Batch   1357, Loss  0.865316, Average Loss  0.871342, Time  0.265150
2021-09-15 20:33:10.590436 : Epoch  2, Batch     99, Loss  0.640585, Average Loss  0.640015, Time  0.236651
2021-09-15 20:33:12.104089 : Epoch  2, Batch    100, Loss  0.634911, Average Loss  0.639939, Time  0.236402
2021-09-15 20:33:12.261791 : Epoch  2, Batch   1358, Loss  0.860657, Average Loss  0.871182, Time  0.265299
2021-09-15 20:33:13.611175 : Epoch  2, Batch    101, Loss  0.635424, Average Loss  0.639898, Time  0.234096
2021-09-15 20:33:15.135004 : Epoch  2, Batch    102, Loss  0.644322, Average Loss  0.639959, Time  0.240210
2021-09-15 20:33:15.279598 : Epoch  2, Batch   1359, Loss  0.867500, Average Loss  0.871116, Time  0.268066
2021-09-15 20:33:16.642760 : Epoch  2, Batch    103, Loss  0.640773, Average Loss  0.639923, Time  0.234454
2021-09-15 20:33:18.149002 : Epoch  2, Batch    104, Loss  0.638020, Average Loss  0.639948, Time  0.233917
2021-09-15 20:33:18.276528 : Epoch  2, Batch   1360, Loss  0.872737, Average Loss  0.871201, Time  0.267410
2021-09-15 20:33:19.654180 : Epoch  2, Batch    105, Loss  0.638786, Average Loss  0.639912, Time  0.234446
2021-09-15 20:33:21.165014 : Epoch  2, Batch    106, Loss  0.639544, Average Loss  0.639890, Time  0.235192
2021-09-15 20:33:21.298286 : Epoch  2, Batch   1361, Loss  0.867934, Average Loss  0.871100, Time  0.267292
2021-09-15 20:33:22.668215 : Epoch  2, Batch    107, Loss  0.636142, Average Loss  0.639890, Time  0.234561
2021-09-15 20:33:24.173830 : Epoch  2, Batch    108, Loss  0.644313, Average Loss  0.639927, Time  0.234548
2021-09-15 20:33:24.321931 : Epoch  2, Batch   1362, Loss  0.874483, Average Loss  0.871039, Time  0.271649
2021-09-15 20:33:25.685938 : Epoch  2, Batch    109, Loss  0.637818, Average Loss  0.639903, Time  0.234485
2021-09-15 20:33:27.204733 : Epoch  2, Batch    110, Loss  0.644621, Average Loss  0.639907, Time  0.236084
2021-09-15 20:33:27.306718 : Epoch  2, Batch   1363, Loss  0.861467, Average Loss  0.870877, Time  0.265595
2021-09-15 20:33:28.717044 : Epoch  2, Batch    111, Loss  0.639569, Average Loss  0.639917, Time  0.235026
2021-09-15 20:33:30.230727 : Epoch  2, Batch    112, Loss  0.636759, Average Loss  0.639934, Time  0.234271
2021-09-15 20:33:30.315747 : Epoch  2, Batch   1364, Loss  0.860407, Average Loss  0.870833, Time  0.265139
2021-09-15 20:33:31.747916 : Epoch  2, Batch    113, Loss  0.638843, Average Loss  0.639945, Time  0.236910
2021-09-15 20:33:33.321776 : Epoch  2, Batch   1365, Loss  0.878348, Average Loss  0.870765, Time  0.265780
2021-09-15 20:33:36.367886 : Epoch  2, Batch   1366, Loss  0.865488, Average Loss  0.870847, Time  0.266747
2021-09-15 20:33:39.475948 : Epoch  2, Batch   1367, Loss  0.857252, Average Loss  0.870704, Time  0.267492
2021-09-15 20:33:42.501663 : Epoch  2, Batch   1368, Loss  0.881211, Average Loss  0.870745, Time  0.265499
2021-09-15 20:33:45.508996 : Epoch  2, Batch   1369, Loss  0.879701, Average Loss  0.870832, Time  0.265885
2021-09-15 20:33:48.550739 : Epoch  2, Batch   1370, Loss  0.878260, Average Loss  0.870855, Time  0.266194
2021-09-15 20:33:51.581888 : Epoch  2, Batch   1371, Loss  0.878988, Average Loss  0.870909, Time  0.265061
2021-09-15 20:33:54.602116 : Epoch  2, Batch   1372, Loss  0.882830, Average Loss  0.870985, Time  0.265641
2021-09-15 20:33:57.604187 : Epoch  2, Batch   1373, Loss  0.879303, Average Loss  0.870928, Time  0.266185
2021-09-15 20:34:00.612915 : Epoch  2, Batch   1374, Loss  0.892475, Average Loss  0.871106, Time  0.266734
2021-09-15 20:34:03.652757 : Epoch  2, Batch   1375, Loss  0.869002, Average Loss  0.871075, Time  0.266575
2021-09-15 20:34:06.681607 : Epoch  2, Batch   1376, Loss  0.867104, Average Loss  0.871016, Time  0.265878
2021-09-15 20:34:09.737275 : Epoch  2, Batch   1377, Loss  0.858672, Average Loss  0.870939, Time  0.275925
2021-09-15 20:34:12.750224 : Epoch  2, Batch   1378, Loss  0.890482, Average Loss  0.871102, Time  0.266341
2021-09-15 20:34:15.756451 : Epoch  2, Batch   1379, Loss  0.895321, Average Loss  0.871216, Time  0.266850
2021-09-15 20:34:18.756597 : Epoch  2, Batch   1380, Loss  0.877567, Average Loss  0.871209, Time  0.266574
2021-09-15 20:34:21.748918 : Epoch  2, Batch   1381, Loss  0.877178, Average Loss  0.871201, Time  0.265983
2021-09-15 20:34:24.730889 : Epoch  2, Batch   1382, Loss  0.858872, Average Loss  0.871094, Time  0.265139
2021-09-15 20:34:27.729524 : Epoch  2, Batch   1383, Loss  0.859002, Average Loss  0.870988, Time  0.266124
2021-09-15 20:34:27.811685 : CheckPoint: Validation Loss  0.00027299, Best Loss  0.00026134
2021-09-15 20:34:29.326177 : Epoch  2, Batch    114, Loss  0.639293, Average Loss  0.639947, Time  0.238791
2021-09-15 20:34:30.733432 : Epoch  2, Batch   1384, Loss  0.868999, Average Loss  0.870978, Time  0.265067
2021-09-15 20:34:30.834900 : Epoch  2, Batch    115, Loss  0.640193, Average Loss  0.639993, Time  0.238556
2021-09-15 20:34:32.345744 : Epoch  2, Batch    116, Loss  0.643988, Average Loss  0.639985, Time  0.238891
2021-09-15 20:34:33.740184 : Epoch  2, Batch   1385, Loss  0.888007, Average Loss  0.871123, Time  0.265889
2021-09-15 20:34:33.857233 : Epoch  2, Batch    117, Loss  0.649768, Average Loss  0.640000, Time  0.237333
2021-09-15 20:34:35.354051 : Epoch  2, Batch    118, Loss  0.636584, Average Loss  0.639989, Time  0.238587
2021-09-15 20:34:36.745669 : Epoch  2, Batch   1386, Loss  0.886289, Average Loss  0.871119, Time  0.265327
2021-09-15 20:34:36.854264 : Epoch  2, Batch    119, Loss  0.641037, Average Loss  0.640005, Time  0.236029
2021-09-15 20:34:38.344698 : Epoch  2, Batch    120, Loss  0.642864, Average Loss  0.640020, Time  0.237901
2021-09-15 20:34:39.763033 : Epoch  2, Batch   1387, Loss  0.874180, Average Loss  0.871097, Time  0.264968
2021-09-15 20:34:39.850259 : Epoch  2, Batch    121, Loss  0.631922, Average Loss  0.639998, Time  0.238745
2021-09-15 20:34:41.350327 : Epoch  2, Batch    122, Loss  0.650008, Average Loss  0.640093, Time  0.238798
2021-09-15 20:34:42.753381 : Epoch  2, Batch   1388, Loss  0.880273, Average Loss  0.871135, Time  0.265446
2021-09-15 20:34:42.845251 : Epoch  2, Batch    123, Loss  0.644756, Average Loss  0.640090, Time  0.238575
2021-09-15 20:34:44.334883 : Epoch  2, Batch    124, Loss  0.639268, Average Loss  0.640060, Time  0.236319
2021-09-15 20:34:45.753348 : Epoch  2, Batch   1389, Loss  0.902554, Average Loss  0.871251, Time  0.265438
2021-09-15 20:34:45.831766 : Epoch  2, Batch    125, Loss  0.644804, Average Loss  0.640119, Time  0.236678
2021-09-15 20:34:47.329735 : Epoch  2, Batch    126, Loss  0.645220, Average Loss  0.640161, Time  0.236077
2021-09-15 20:34:48.763460 : Epoch  2, Batch   1390, Loss  0.883168, Average Loss  0.871419, Time  0.265609
2021-09-15 20:34:48.824681 : Epoch  2, Batch    127, Loss  0.641244, Average Loss  0.640180, Time  0.236966
2021-09-15 20:34:50.327803 : Epoch  2, Batch    128, Loss  0.634635, Average Loss  0.640120, Time  0.236445
2021-09-15 20:34:51.753876 : Epoch  2, Batch   1391, Loss  0.880343, Average Loss  0.871458, Time  0.265212
2021-09-15 20:34:51.817789 : Epoch  2, Batch    129, Loss  0.639324, Average Loss  0.640128, Time  0.237554
2021-09-15 20:34:53.316722 : Epoch  2, Batch    130, Loss  0.637871, Average Loss  0.640101, Time  0.236248
2021-09-15 20:34:54.766802 : Epoch  2, Batch   1392, Loss  0.875823, Average Loss  0.871400, Time  0.279125
2021-09-15 20:34:54.809242 : Epoch  2, Batch    131, Loss  0.631961, Average Loss  0.640060, Time  0.238091
2021-09-15 20:34:56.309839 : Epoch  2, Batch    132, Loss  0.646801, Average Loss  0.640082, Time  0.237585
2021-09-15 20:34:57.796093 : Epoch  2, Batch   1393, Loss  0.861485, Average Loss  0.871312, Time  0.266354
2021-09-15 20:34:57.803765 : Epoch  2, Batch    133, Loss  0.638397, Average Loss  0.640138, Time  0.238514
2021-09-15 20:34:59.319286 : Epoch  2, Batch    134, Loss  0.644021, Average Loss  0.640154, Time  0.236816
2021-09-15 20:35:00.801166 : Epoch  2, Batch   1394, Loss  0.883494, Average Loss  0.871394, Time  0.267125
2021-09-15 20:35:00.820905 : Epoch  2, Batch    135, Loss  0.640984, Average Loss  0.640152, Time  0.236321
2021-09-15 20:35:02.342299 : Epoch  2, Batch    136, Loss  0.631086, Average Loss  0.640060, Time  0.236489
2021-09-15 20:35:03.803306 : Epoch  2, Batch   1395, Loss  0.880965, Average Loss  0.871409, Time  0.265683
2021-09-15 20:35:03.862912 : Epoch  2, Batch    137, Loss  0.643200, Average Loss  0.640071, Time  0.239702
2021-09-15 20:35:05.383007 : Epoch  2, Batch    138, Loss  0.635954, Average Loss  0.640029, Time  0.237473
2021-09-15 20:35:06.820038 : Epoch  2, Batch   1396, Loss  0.862674, Average Loss  0.871352, Time  0.265790
2021-09-15 20:35:06.920347 : Epoch  2, Batch    139, Loss  0.642739, Average Loss  0.640056, Time  0.238616
2021-09-15 20:35:08.450735 : Epoch  2, Batch    140, Loss  0.648471, Average Loss  0.640142, Time  0.234182
2021-09-15 20:35:09.834698 : Epoch  2, Batch   1397, Loss  0.842881, Average Loss  0.871203, Time  0.265768
2021-09-15 20:35:09.963120 : Epoch  2, Batch    141, Loss  0.642165, Average Loss  0.640122, Time  0.234430
2021-09-15 20:35:11.464149 : Epoch  2, Batch    142, Loss  0.636833, Average Loss  0.640046, Time  0.234238
2021-09-15 20:35:12.855183 : Epoch  2, Batch   1398, Loss  0.853434, Average Loss  0.871149, Time  0.265618
2021-09-15 20:35:12.972953 : Epoch  2, Batch    143, Loss  0.623634, Average Loss  0.639963, Time  0.234663
2021-09-15 20:35:14.479028 : Epoch  2, Batch    144, Loss  0.632974, Average Loss  0.639908, Time  0.234170
2021-09-15 20:35:15.861223 : Epoch  2, Batch   1399, Loss  0.892046, Average Loss  0.871298, Time  0.266712
2021-09-15 20:35:15.994734 : Epoch  2, Batch    145, Loss  0.641042, Average Loss  0.639912, Time  0.234614
2021-09-15 20:35:17.493739 : Epoch  2, Batch    146, Loss  0.643617, Average Loss  0.639984, Time  0.234833
2021-09-15 20:35:18.864480 : Epoch  2, Batch   1400, Loss  0.869618, Average Loss  0.871272, Time  0.266924
2021-09-15 20:35:18.996059 : Epoch  2, Batch    147, Loss  0.648655, Average Loss  0.640008, Time  0.234244
2021-09-15 20:35:20.496887 : Epoch  2, Batch    148, Loss  0.634534, Average Loss  0.639963, Time  0.234320
2021-09-15 20:35:21.876328 : Epoch  2, Batch   1401, Loss  0.875709, Average Loss  0.871272, Time  0.265627
2021-09-15 20:35:22.003925 : Epoch  2, Batch    149, Loss  0.634618, Average Loss  0.639918, Time  0.234267
2021-09-15 20:35:23.506003 : Epoch  2, Batch    150, Loss  0.643568, Average Loss  0.639969, Time  0.234219
2021-09-15 20:35:24.876311 : Epoch  2, Batch   1402, Loss  0.873745, Average Loss  0.871259, Time  0.265362
2021-09-15 20:35:25.023227 : Epoch  2, Batch    151, Loss  0.641588, Average Loss  0.640011, Time  0.235142
2021-09-15 20:35:26.528064 : Epoch  2, Batch    152, Loss  0.637979, Average Loss  0.640014, Time  0.234375
2021-09-15 20:35:27.870100 : Epoch  2, Batch   1403, Loss  0.876665, Average Loss  0.871309, Time  0.266460
2021-09-15 20:35:28.040975 : Epoch  2, Batch    153, Loss  0.635846, Average Loss  0.640019, Time  0.234965
2021-09-15 20:35:29.548189 : Epoch  2, Batch    154, Loss  0.637223, Average Loss  0.639983, Time  0.235505
2021-09-15 20:35:30.879271 : Epoch  2, Batch   1404, Loss  0.853370, Average Loss  0.871235, Time  0.266250
2021-09-15 20:35:31.065897 : Epoch  2, Batch    155, Loss  0.642433, Average Loss  0.640035, Time  0.234673
2021-09-15 20:35:32.575273 : Epoch  2, Batch    156, Loss  0.631600, Average Loss  0.639983, Time  0.234524
2021-09-15 20:35:33.873810 : Epoch  2, Batch   1405, Loss  0.885006, Average Loss  0.871307, Time  0.266098
2021-09-15 20:35:34.089028 : Epoch  2, Batch    157, Loss  0.646089, Average Loss  0.640015, Time  0.234293
2021-09-15 20:35:35.590007 : Epoch  2, Batch    158, Loss  0.640929, Average Loss  0.639976, Time  0.234327
2021-09-15 20:35:36.877844 : Epoch  2, Batch   1406, Loss  0.875265, Average Loss  0.871331, Time  0.265240
2021-09-15 20:35:37.105047 : Epoch  2, Batch    159, Loss  0.638096, Average Loss  0.639926, Time  0.234388
2021-09-15 20:35:38.610727 : Epoch  2, Batch    160, Loss  0.639744, Average Loss  0.639994, Time  0.234444
2021-09-15 20:35:39.923878 : Epoch  2, Batch   1407, Loss  0.865956, Average Loss  0.871260, Time  0.282902
2021-09-15 20:35:40.117934 : Epoch  2, Batch    161, Loss  0.629821, Average Loss  0.639943, Time  0.234167
2021-09-15 20:35:41.613797 : Epoch  2, Batch    162, Loss  0.640317, Average Loss  0.639936, Time  0.234433
2021-09-15 20:35:42.966361 : Epoch  2, Batch   1408, Loss  0.857259, Average Loss  0.871110, Time  0.267708
2021-09-15 20:35:43.115737 : Epoch  2, Batch    163, Loss  0.645973, Average Loss  0.639923, Time  0.234210
2021-09-15 20:35:44.609696 : Epoch  2, Batch    164, Loss  0.646938, Average Loss  0.639981, Time  0.234277
2021-09-15 20:35:46.000480 : Epoch  2, Batch   1409, Loss  0.847151, Average Loss  0.871012, Time  0.264892
2021-09-15 20:35:46.117416 : Epoch  2, Batch    165, Loss  0.647280, Average Loss  0.640029, Time  0.234582
2021-09-15 20:35:47.616046 : Epoch  2, Batch    166, Loss  0.644875, Average Loss  0.640055, Time  0.234239
2021-09-15 20:35:49.037994 : Epoch  2, Batch   1410, Loss  0.869524, Average Loss  0.871037, Time  0.267304
2021-09-15 20:35:49.126766 : Epoch  2, Batch    167, Loss  0.650235, Average Loss  0.640100, Time  0.234791
2021-09-15 20:35:50.629100 : Epoch  2, Batch    168, Loss  0.641180, Average Loss  0.640111, Time  0.234873
2021-09-15 20:35:52.055225 : Epoch  2, Batch   1411, Loss  0.862576, Average Loss  0.870997, Time  0.266074
2021-09-15 20:35:52.142895 : Epoch  2, Batch    169, Loss  0.624379, Average Loss  0.640026, Time  0.235050
2021-09-15 20:35:53.641933 : Epoch  2, Batch    170, Loss  0.634747, Average Loss  0.640065, Time  0.234499
2021-09-15 20:35:55.056158 : Epoch  2, Batch   1412, Loss  0.890873, Average Loss  0.871139, Time  0.265471
2021-09-15 20:35:55.154000 : Epoch  2, Batch    171, Loss  0.642629, Average Loss  0.640066, Time  0.234303
2021-09-15 20:35:56.651822 : Epoch  2, Batch    172, Loss  0.638257, Average Loss  0.640085, Time  0.235121
2021-09-15 20:35:58.051688 : Epoch  2, Batch   1413, Loss  0.879775, Average Loss  0.871308, Time  0.265547
2021-09-15 20:35:58.171826 : Epoch  2, Batch    173, Loss  0.640648, Average Loss  0.640077, Time  0.234551
2021-09-15 20:35:59.695866 : Epoch  2, Batch    174, Loss  0.643576, Average Loss  0.640100, Time  0.234489
2021-09-15 20:36:01.044042 : Epoch  2, Batch   1414, Loss  0.869501, Average Loss  0.871227, Time  0.264827
2021-09-15 20:36:01.208020 : Epoch  2, Batch    175, Loss  0.627610, Average Loss  0.640018, Time  0.234386
2021-09-15 20:36:02.716217 : Epoch  2, Batch    176, Loss  0.642593, Average Loss  0.640034, Time  0.234299
2021-09-15 20:36:04.041369 : Epoch  2, Batch   1415, Loss  0.871776, Average Loss  0.871285, Time  0.264893
2021-09-15 20:36:04.218078 : Epoch  2, Batch    177, Loss  0.636823, Average Loss  0.640034, Time  0.234350
2021-09-15 20:36:05.712654 : Epoch  2, Batch    178, Loss  0.643067, Average Loss  0.640057, Time  0.234756
2021-09-15 20:36:07.018060 : Epoch  2, Batch   1416, Loss  0.868618, Average Loss  0.871273, Time  0.267304
2021-09-15 20:36:07.219648 : Epoch  2, Batch    179, Loss  0.639181, Average Loss  0.640085, Time  0.234528
2021-09-15 20:36:08.717897 : Epoch  2, Batch    180, Loss  0.644630, Average Loss  0.640085, Time  0.235222
2021-09-15 20:36:10.040259 : Epoch  2, Batch   1417, Loss  0.873605, Average Loss  0.871231, Time  0.266284
2021-09-15 20:36:10.230085 : Epoch  2, Batch    181, Loss  0.633546, Average Loss  0.640035, Time  0.234946
2021-09-15 20:36:11.729887 : Epoch  2, Batch    182, Loss  0.630987, Average Loss  0.640012, Time  0.234732
2021-09-15 20:36:13.037615 : Epoch  2, Batch   1418, Loss  0.872715, Average Loss  0.871168, Time  0.264918
2021-09-15 20:36:13.237363 : Epoch  2, Batch    183, Loss  0.643869, Average Loss  0.640027, Time  0.235616
2021-09-15 20:36:16.065973 : Epoch  2, Batch   1419, Loss  0.878748, Average Loss  0.871101, Time  0.266096
2021-09-15 20:36:17.078501 : Epoch  2, Batch    184, Loss  0.635683, Average Loss  0.639959, Time  0.268288
2021-09-15 20:36:18.598182 : Epoch  2, Batch    185, Loss  0.629726, Average Loss  0.639922, Time  0.249889
2021-09-15 20:36:19.099897 : Epoch  2, Batch   1420, Loss  0.880454, Average Loss  0.871199, Time  0.265774
2021-09-15 20:36:20.100020 : Epoch  2, Batch    186, Loss  0.640566, Average Loss  0.639956, Time  0.234110
2021-09-15 20:36:21.612996 : Epoch  2, Batch    187, Loss  0.627215, Average Loss  0.639908, Time  0.234218
2021-09-15 20:36:22.097707 : Epoch  2, Batch   1421, Loss  0.866697, Average Loss  0.871144, Time  0.265782
2021-09-15 20:36:23.111977 : Epoch  2, Batch    188, Loss  0.630398, Average Loss  0.639839, Time  0.235982
2021-09-15 20:36:24.611735 : Epoch  2, Batch    189, Loss  0.635752, Average Loss  0.639787, Time  0.235189
2021-09-15 20:36:25.099015 : Epoch  2, Batch   1422, Loss  0.857504, Average Loss  0.871062, Time  0.276315
2021-09-15 20:36:26.112734 : Epoch  2, Batch    190, Loss  0.638661, Average Loss  0.639755, Time  0.234843
2021-09-15 20:36:27.611900 : Epoch  2, Batch    191, Loss  0.649247, Average Loss  0.639841, Time  0.235366
2021-09-15 20:36:28.081541 : Epoch  2, Batch   1423, Loss  0.875317, Average Loss  0.871097, Time  0.265675
2021-09-15 20:36:29.109823 : Epoch  2, Batch    192, Loss  0.629311, Average Loss  0.639756, Time  0.234468
2021-09-15 20:36:30.602885 : Epoch  2, Batch    193, Loss  0.640561, Average Loss  0.639753, Time  0.234162
2021-09-15 20:36:31.117176 : Epoch  2, Batch   1424, Loss  0.855159, Average Loss  0.871148, Time  0.265683
2021-09-15 20:36:32.099429 : Epoch  2, Batch    194, Loss  0.641866, Average Loss  0.639724, Time  0.235630
2021-09-15 20:36:33.592395 : Epoch  2, Batch    195, Loss  0.634503, Average Loss  0.639715, Time  0.235225
2021-09-15 20:36:34.118238 : Epoch  2, Batch   1425, Loss  0.885067, Average Loss  0.871286, Time  0.265367
2021-09-15 20:36:35.096049 : Epoch  2, Batch    196, Loss  0.634290, Average Loss  0.639688, Time  0.235906
2021-09-15 20:36:36.622019 : Epoch  2, Batch    197, Loss  0.623705, Average Loss  0.639605, Time  0.236264
2021-09-15 20:36:37.107649 : Epoch  2, Batch   1426, Loss  0.861123, Average Loss  0.871318, Time  0.265404
2021-09-15 20:36:38.122884 : Epoch  2, Batch    198, Loss  0.631690, Average Loss  0.639617, Time  0.234151
2021-09-15 20:36:39.626045 : Epoch  2, Batch    199, Loss  0.628431, Average Loss  0.639523, Time  0.234357
2021-09-15 20:36:40.116847 : Epoch  2, Batch   1427, Loss  0.893560, Average Loss  0.871518, Time  0.265120
2021-09-15 20:36:41.135883 : Epoch  2, Batch    200, Loss  0.634719, Average Loss  0.639494, Time  0.235177
2021-09-15 20:36:42.630873 : Epoch  2, Batch    201, Loss  0.635234, Average Loss  0.639468, Time  0.234206
2021-09-15 20:36:43.103327 : Epoch  2, Batch   1428, Loss  0.885286, Average Loss  0.871599, Time  0.264939
2021-09-15 20:36:44.133603 : Epoch  2, Batch    202, Loss  0.638720, Average Loss  0.639456, Time  0.234403
2021-09-15 20:36:45.637257 : Epoch  2, Batch    203, Loss  0.638901, Average Loss  0.639471, Time  0.234419
2021-09-15 20:36:46.108197 : Epoch  2, Batch   1429, Loss  0.875244, Average Loss  0.871681, Time  0.266582
2021-09-15 20:36:47.131922 : Epoch  2, Batch    204, Loss  0.634043, Average Loss  0.639461, Time  0.234572
2021-09-15 20:36:48.669956 : Epoch  2, Batch    205, Loss  0.635313, Average Loss  0.639395, Time  0.234486
2021-09-15 20:36:49.113269 : Epoch  2, Batch   1430, Loss  0.876530, Average Loss  0.871621, Time  0.266165
2021-09-15 20:36:50.170559 : Epoch  2, Batch    206, Loss  0.631502, Average Loss  0.639308, Time  0.234139
2021-09-15 20:36:51.680013 : Epoch  2, Batch    207, Loss  0.629684, Average Loss  0.639264, Time  0.234052
2021-09-15 20:36:52.112037 : Epoch  2, Batch   1431, Loss  0.864527, Average Loss  0.871566, Time  0.265558
2021-09-15 20:36:53.192614 : Epoch  2, Batch    208, Loss  0.627239, Average Loss  0.639299, Time  0.234430
2021-09-15 20:36:54.693049 : Epoch  2, Batch    209, Loss  0.633026, Average Loss  0.639274, Time  0.234182
2021-09-15 20:36:55.125342 : Epoch  2, Batch   1432, Loss  0.892389, Average Loss  0.871703, Time  0.265567
2021-09-15 20:36:56.199432 : Epoch  2, Batch    210, Loss  0.628312, Average Loss  0.639227, Time  0.234342
2021-09-15 20:36:57.715166 : Epoch  2, Batch    211, Loss  0.632334, Average Loss  0.639154, Time  0.235029
2021-09-15 20:36:58.149268 : Epoch  2, Batch   1433, Loss  0.849645, Average Loss  0.871609, Time  0.265618
2021-09-15 20:36:59.229277 : Epoch  2, Batch    212, Loss  0.620939, Average Loss  0.639088, Time  0.234520
2021-09-15 20:37:01.165692 : Epoch  2, Batch   1434, Loss  0.873800, Average Loss  0.871473, Time  0.266098
2021-09-15 20:37:03.063765 : Epoch  2, Batch    213, Loss  0.639620, Average Loss  0.639058, Time  0.272375
2021-09-15 20:37:04.170257 : Epoch  2, Batch   1435, Loss  0.870734, Average Loss  0.871521, Time  0.264798
2021-09-15 20:37:07.167045 : Epoch  2, Batch   1436, Loss  0.859629, Average Loss  0.871523, Time  0.265100
2021-09-15 20:37:10.202002 : Epoch  2, Batch   1437, Loss  0.857701, Average Loss  0.871662, Time  0.277486
2021-09-15 20:37:13.242549 : Epoch  2, Batch   1438, Loss  0.882103, Average Loss  0.871714, Time  0.266113
2021-09-15 20:37:16.242282 : Epoch  2, Batch   1439, Loss  0.845507, Average Loss  0.871578, Time  0.265476
2021-09-15 20:37:19.289298 : Epoch  2, Batch   1440, Loss  0.869729, Average Loss  0.871610, Time  0.265110
2021-09-15 20:37:22.293243 : Epoch  2, Batch   1441, Loss  0.882526, Average Loss  0.871625, Time  0.265336
2021-09-15 20:37:25.288012 : Epoch  2, Batch   1442, Loss  0.884617, Average Loss  0.871653, Time  0.266425
2021-09-15 20:37:28.291179 : Epoch  2, Batch   1443, Loss  0.880217, Average Loss  0.871690, Time  0.266448
2021-09-15 20:37:31.338232 : Epoch  2, Batch   1444, Loss  0.874405, Average Loss  0.871733, Time  0.265516
2021-09-15 20:37:58.901688 : CheckPoint: Validation Loss  0.00026693, Best Loss  0.00026134
2021-09-15 20:38:00.424699 : Epoch  2, Batch    214, Loss  0.621361, Average Loss  0.638966, Time  0.250848
2021-09-15 20:38:01.934165 : Epoch  2, Batch    215, Loss  0.632187, Average Loss  0.638892, Time  0.234636
2021-09-15 20:38:03.450858 : Epoch  2, Batch    216, Loss  0.632517, Average Loss  0.638907, Time  0.234234
2021-09-15 20:38:04.960995 : Epoch  2, Batch    217, Loss  0.635842, Average Loss  0.638858, Time  0.234282
2021-09-15 20:38:06.465717 : Epoch  2, Batch    218, Loss  0.629244, Average Loss  0.638787, Time  0.234416
2021-09-15 20:38:07.973889 : Epoch  2, Batch    219, Loss  0.626314, Average Loss  0.638754, Time  0.234396
2021-09-15 20:38:09.479565 : Epoch  2, Batch    220, Loss  0.623649, Average Loss  0.638698, Time  0.234149
2021-09-15 20:38:10.991961 : Epoch  2, Batch    221, Loss  0.627933, Average Loss  0.638634, Time  0.234516
2021-09-15 20:38:12.499025 : Epoch  2, Batch    222, Loss  0.633190, Average Loss  0.638583, Time  0.234066
2021-09-15 20:38:13.999661 : Epoch  2, Batch    223, Loss  0.634745, Average Loss  0.638553, Time  0.234408
2021-09-15 20:38:15.519000 : Epoch  2, Batch    224, Loss  0.635806, Average Loss  0.638569, Time  0.234136
2021-09-15 20:38:17.025988 : Epoch  2, Batch    225, Loss  0.630478, Average Loss  0.638550, Time  0.235144
2021-09-15 20:38:18.532880 : Epoch  2, Batch    226, Loss  0.631519, Average Loss  0.638523, Time  0.234146
2021-09-15 20:38:20.042949 : Epoch  2, Batch    227, Loss  0.631130, Average Loss  0.638449, Time  0.234324
2021-09-15 20:38:21.553015 : Epoch  2, Batch    228, Loss  0.636551, Average Loss  0.638383, Time  0.234031
2021-09-15 20:38:23.064982 : Epoch  2, Batch    229, Loss  0.624029, Average Loss  0.638318, Time  0.234370
2021-09-15 20:38:24.582041 : Epoch  2, Batch    230, Loss  0.631115, Average Loss  0.638206, Time  0.234477
2021-09-15 20:38:26.088876 : Epoch  2, Batch    231, Loss  0.631750, Average Loss  0.638164, Time  0.234343
2021-09-15 20:38:27.599061 : Epoch  2, Batch    232, Loss  0.636665, Average Loss  0.638174, Time  0.234694
2021-09-15 20:38:29.113289 : Epoch  2, Batch    233, Loss  0.635182, Average Loss  0.638142, Time  0.234397
2021-09-15 20:38:30.624713 : Epoch  2, Batch    234, Loss  0.631773, Average Loss  0.638112, Time  0.234302
2021-09-15 20:38:32.137079 : Epoch  2, Batch    235, Loss  0.635966, Average Loss  0.638084, Time  0.235257
2021-09-15 20:38:33.644747 : Epoch  2, Batch    236, Loss  0.634455, Average Loss  0.638048, Time  0.235462
2021-09-15 20:38:35.156606 : Epoch  2, Batch    237, Loss  0.629814, Average Loss  0.638005, Time  0.234683
2021-09-15 20:38:36.674116 : Epoch  2, Batch    238, Loss  0.623648, Average Loss  0.637892, Time  0.234637
2021-09-15 20:38:38.185857 : Epoch  2, Batch    239, Loss  0.625910, Average Loss  0.637820, Time  0.234126
2021-09-15 20:38:39.690674 : Epoch  2, Batch    240, Loss  0.631999, Average Loss  0.637724, Time  0.234204
2021-09-15 20:38:41.200948 : Epoch  2, Batch    241, Loss  0.615153, Average Loss  0.637593, Time  0.234606
2021-09-15 20:38:42.712237 : Epoch  2, Batch    242, Loss  0.620464, Average Loss  0.637502, Time  0.237068
2021-09-15 20:38:44.225837 : Epoch  2, Batch    243, Loss  0.635334, Average Loss  0.637468, Time  0.234521
2021-09-15 20:38:45.728924 : Epoch  2, Batch    244, Loss  0.641928, Average Loss  0.637472, Time  0.234176
2021-09-15 20:38:47.233076 : Epoch  2, Batch    245, Loss  0.622399, Average Loss  0.637388, Time  0.234769
2021-09-15 20:38:48.741978 : Epoch  2, Batch    246, Loss  0.634436, Average Loss  0.637398, Time  0.234653
2021-09-15 20:38:50.247182 : Epoch  2, Batch    247, Loss  0.626367, Average Loss  0.637354, Time  0.234490
2021-09-15 20:38:51.752792 : Epoch  2, Batch    248, Loss  0.629641, Average Loss  0.637297, Time  0.234308
2021-09-15 20:38:53.261144 : Epoch  2, Batch    249, Loss  0.628929, Average Loss  0.637231, Time  0.234269
2021-09-15 20:38:54.763017 : Epoch  2, Batch    250, Loss  0.626163, Average Loss  0.637140, Time  0.234132
2021-09-15 20:38:56.258260 : Epoch  2, Batch    251, Loss  0.635801, Average Loss  0.637086, Time  0.234390
2021-09-15 20:38:57.766738 : Epoch  2, Batch    252, Loss  0.633053, Average Loss  0.637052, Time  0.235297
2021-09-15 20:38:59.267698 : Epoch  2, Batch    253, Loss  0.625471, Average Loss  0.636918, Time  0.234910
2021-09-15 20:39:00.776018 : Epoch  2, Batch    254, Loss  0.630798, Average Loss  0.636824, Time  0.234090
2021-09-15 20:39:02.298104 : Epoch  2, Batch    255, Loss  0.632565, Average Loss  0.636780, Time  0.234472
2021-09-15 20:39:03.808079 : Epoch  2, Batch    256, Loss  0.633199, Average Loss  0.636771, Time  0.235026
2021-09-15 20:39:05.318910 : Epoch  2, Batch    257, Loss  0.627291, Average Loss  0.636691, Time  0.234687
2021-09-15 20:39:06.830968 : Epoch  2, Batch    258, Loss  0.621593, Average Loss  0.636611, Time  0.234402
2021-09-15 20:39:08.342071 : Epoch  2, Batch    259, Loss  0.638581, Average Loss  0.636583, Time  0.234611
2021-09-15 20:39:09.847957 : Epoch  2, Batch    260, Loss  0.627024, Average Loss  0.636485, Time  0.234336
2021-09-15 20:39:11.363049 : Epoch  2, Batch    261, Loss  0.613457, Average Loss  0.636355, Time  0.234669
2021-09-15 20:39:12.880861 : Epoch  2, Batch    262, Loss  0.632143, Average Loss  0.636319, Time  0.234551
2021-09-15 20:39:14.388181 : Epoch  2, Batch    263, Loss  0.626736, Average Loss  0.636279, Time  0.234387
2021-09-15 20:39:15.890450 : Epoch  2, Batch    264, Loss  0.624388, Average Loss  0.636223, Time  0.234287
2021-09-15 20:39:17.392949 : Epoch  2, Batch    265, Loss  0.634252, Average Loss  0.636184, Time  0.234538
2021-09-15 20:39:18.899910 : Epoch  2, Batch    266, Loss  0.628768, Average Loss  0.636107, Time  0.234629
2021-09-15 20:39:20.399187 : Epoch  2, Batch    267, Loss  0.630149, Average Loss  0.636047, Time  0.234366
2021-09-15 20:39:21.917022 : Epoch  2, Batch    268, Loss  0.635300, Average Loss  0.636006, Time  0.234084
2021-09-15 20:39:23.430927 : Epoch  2, Batch    269, Loss  0.623450, Average Loss  0.635937, Time  0.235042
2021-09-15 20:39:24.932812 : Epoch  2, Batch    270, Loss  0.636009, Average Loss  0.635889, Time  0.234216
2021-09-15 20:39:26.435894 : Epoch  2, Batch    271, Loss  0.622178, Average Loss  0.635821, Time  0.234946
2021-09-15 20:39:27.935387 : Epoch  2, Batch    272, Loss  0.630786, Average Loss  0.635704, Time  0.234614
2021-09-15 20:39:29.447718 : Epoch  2, Batch    273, Loss  0.637444, Average Loss  0.635716, Time  0.234208
2021-09-15 20:39:30.952729 : Epoch  2, Batch    274, Loss  0.623598, Average Loss  0.635608, Time  0.234379
2021-09-15 20:39:32.456756 : Epoch  2, Batch    275, Loss  0.629487, Average Loss  0.635536, Time  0.234346
2021-09-15 20:39:33.972866 : Epoch  2, Batch    276, Loss  0.624681, Average Loss  0.635448, Time  0.234195
2021-09-15 20:39:35.473323 : Epoch  2, Batch    277, Loss  0.628255, Average Loss  0.635408, Time  0.234192
2021-09-15 20:39:36.976530 : Epoch  2, Batch    278, Loss  0.637341, Average Loss  0.635374, Time  0.234704
2021-09-15 20:39:38.477495 : Epoch  2, Batch    279, Loss  0.628827, Average Loss  0.635323, Time  0.234169
2021-09-15 20:39:39.976852 : Epoch  2, Batch    280, Loss  0.626098, Average Loss  0.635171, Time  0.234644
2021-09-15 20:39:41.491041 : Epoch  2, Batch    281, Loss  0.627485, Average Loss  0.635091, Time  0.234224
2021-09-15 20:39:43.004804 : Epoch  2, Batch    282, Loss  0.633677, Average Loss  0.635065, Time  0.234136
2021-09-15 20:39:44.516898 : Epoch  2, Batch    283, Loss  0.634019, Average Loss  0.635062, Time  0.234433
2021-09-15 20:39:48.350655 : Epoch  2, Batch    284, Loss  0.624155, Average Loss  0.634963, Time  0.265895
2021-09-15 20:39:49.916021 : Epoch  2, Batch    285, Loss  0.626692, Average Loss  0.634859, Time  0.240293
2021-09-15 20:39:51.429040 : Epoch  2, Batch    286, Loss  0.622235, Average Loss  0.634738, Time  0.234365
2021-09-15 20:39:52.937914 : Epoch  2, Batch    287, Loss  0.629684, Average Loss  0.634684, Time  0.234646
2021-09-15 20:39:54.440713 : Epoch  2, Batch    288, Loss  0.630338, Average Loss  0.635164, Time  0.234799
2021-09-15 20:39:55.948922 : Epoch  2, Batch    289, Loss  0.625809, Average Loss  0.635095, Time  0.234398
2021-09-15 20:39:57.474921 : Epoch  2, Batch    290, Loss  0.623445, Average Loss  0.635057, Time  0.235291
2021-09-15 20:39:58.977544 : Epoch  2, Batch    291, Loss  0.629818, Average Loss  0.634986, Time  0.234191
2021-09-15 20:40:00.496827 : Epoch  2, Batch    292, Loss  0.629727, Average Loss  0.634877, Time  0.234727
2021-09-15 20:40:02.017899 : Epoch  2, Batch    293, Loss  0.623355, Average Loss  0.634786, Time  0.235993
2021-09-15 20:40:03.534775 : Epoch  2, Batch    294, Loss  0.623380, Average Loss  0.634696, Time  0.234500
2021-09-15 20:40:05.055889 : Epoch  2, Batch    295, Loss  0.627053, Average Loss  0.634617, Time  0.234293
2021-09-15 20:40:06.573945 : Epoch  2, Batch    296, Loss  0.626136, Average Loss  0.634561, Time  0.234493
2021-09-15 20:40:08.094939 : Epoch  2, Batch    297, Loss  0.630021, Average Loss  0.634491, Time  0.234359
2021-09-15 20:40:09.616791 : Epoch  2, Batch    298, Loss  0.624009, Average Loss  0.634398, Time  0.235471
2021-09-15 20:40:11.135785 : Epoch  2, Batch    299, Loss  0.629825, Average Loss  0.634345, Time  0.234372
2021-09-15 20:40:12.647695 : Epoch  2, Batch    300, Loss  0.624474, Average Loss  0.634292, Time  0.234351
2021-09-15 20:40:14.158746 : Epoch  2, Batch    301, Loss  0.622325, Average Loss  0.634227, Time  0.234725
2021-09-15 20:40:15.675219 : Epoch  2, Batch    302, Loss  0.641115, Average Loss  0.634211, Time  0.237233
2021-09-15 20:40:17.182233 : Epoch  2, Batch    303, Loss  0.630776, Average Loss  0.634161, Time  0.235332
2021-09-15 20:40:18.700812 : Epoch  2, Batch    304, Loss  0.623135, Average Loss  0.634087, Time  0.234370
2021-09-15 20:40:20.209168 : Epoch  2, Batch    305, Loss  0.618930, Average Loss  0.633987, Time  0.234212
2021-09-15 20:40:21.729740 : Epoch  2, Batch    306, Loss  0.628048, Average Loss  0.633930, Time  0.234407
2021-09-15 20:40:23.250990 : Epoch  2, Batch    307, Loss  0.621727, Average Loss  0.633858, Time  0.234342
2021-09-15 20:40:24.763826 : Epoch  2, Batch    308, Loss  0.625622, Average Loss  0.633764, Time  0.234160
2021-09-15 20:40:26.275470 : Epoch  2, Batch    309, Loss  0.620020, Average Loss  0.633675, Time  0.234769
2021-09-15 20:40:27.788432 : Epoch  2, Batch    310, Loss  0.624439, Average Loss  0.633574, Time  0.234154
2021-09-15 20:40:29.300797 : Epoch  2, Batch    311, Loss  0.618377, Average Loss  0.633468, Time  0.234215
2021-09-15 20:40:30.821922 : Epoch  2, Batch    312, Loss  0.634915, Average Loss  0.633459, Time  0.234437
2021-09-15 20:40:32.329032 : Epoch  2, Batch    313, Loss  0.633549, Average Loss  0.633433, Time  0.234191
2021-09-15 20:41:28.760691 : CheckPoint: Validation Loss  0.00025755, Best Loss  0.00025755
2021-09-15 20:41:28.804551 : Best Model Updated
2021-09-15 20:41:31.063804 : Epoch  2, Batch    314, Loss  0.627761, Average Loss  0.633375, Time  0.235164
2021-09-15 20:41:32.571695 : Epoch  2, Batch    315, Loss  0.622810, Average Loss  0.633288, Time  0.234498
2021-09-15 20:41:34.086979 : Epoch  2, Batch    316, Loss  0.627487, Average Loss  0.633206, Time  0.234130
2021-09-15 20:41:35.596496 : Epoch  2, Batch    317, Loss  0.628614, Average Loss  0.633100, Time  0.234072
2021-09-15 20:41:37.118188 : Epoch  2, Batch    318, Loss  0.633444, Average Loss  0.633084, Time  0.234141
2021-09-15 20:41:38.634001 : Epoch  2, Batch    319, Loss  0.621906, Average Loss  0.632989, Time  0.234157
2021-09-15 20:41:40.146752 : Epoch  2, Batch    320, Loss  0.622119, Average Loss  0.632885, Time  0.234069
2021-09-15 20:41:41.656815 : Epoch  2, Batch    321, Loss  0.624805, Average Loss  0.632849, Time  0.234470
2021-09-15 20:41:43.168684 : Epoch  2, Batch    322, Loss  0.621017, Average Loss  0.632704, Time  0.235677
2021-09-15 20:41:44.673950 : Epoch  2, Batch    323, Loss  0.617991, Average Loss  0.632570, Time  0.234492
2021-09-15 20:41:46.189261 : Epoch  2, Batch    324, Loss  0.622944, Average Loss  0.632489, Time  0.234859
2021-09-15 20:41:47.694050 : Epoch  2, Batch    325, Loss  0.629507, Average Loss  0.632412, Time  0.234753
2021-09-15 20:41:49.198745 : Epoch  2, Batch    326, Loss  0.630229, Average Loss  0.632337, Time  0.235154
2021-09-15 20:41:50.716890 : Epoch  2, Batch    327, Loss  0.627837, Average Loss  0.632270, Time  0.234852
2021-09-15 20:41:52.231947 : Epoch  2, Batch    328, Loss  0.630985, Average Loss  0.632252, Time  0.235001
2021-09-15 20:41:53.739107 : Epoch  2, Batch    329, Loss  0.634627, Average Loss  0.632229, Time  0.234456
2021-09-15 20:41:55.246932 : Epoch  2, Batch    330, Loss  0.617028, Average Loss  0.632124, Time  0.234497
2021-09-15 20:41:56.749617 : Epoch  2, Batch    331, Loss  0.633241, Average Loss  0.632131, Time  0.234429
2021-09-15 20:41:58.250994 : Epoch  2, Batch    332, Loss  0.625545, Average Loss  0.632024, Time  0.234303
2021-09-15 20:41:59.763089 : Epoch  2, Batch    333, Loss  0.618654, Average Loss  0.631926, Time  0.234294
2021-09-15 20:42:01.264928 : Epoch  2, Batch    334, Loss  0.624154, Average Loss  0.631826, Time  0.234320
2021-09-15 20:42:02.770177 : Epoch  2, Batch    335, Loss  0.628344, Average Loss  0.631763, Time  0.234171
2021-09-15 20:42:04.265088 : Epoch  2, Batch    336, Loss  0.619250, Average Loss  0.631704, Time  0.234398
2021-09-15 20:42:05.768926 : Epoch  2, Batch    337, Loss  0.618249, Average Loss  0.631579, Time  0.234462
2021-09-15 20:42:07.273001 : Epoch  2, Batch    338, Loss  0.626674, Average Loss  0.631533, Time  0.235215
2021-09-15 20:42:08.772239 : Epoch  2, Batch    339, Loss  0.625682, Average Loss  0.631448, Time  0.234240
2021-09-15 20:42:10.272913 : Epoch  2, Batch    340, Loss  0.614432, Average Loss  0.631277, Time  0.236321
2021-09-15 20:42:10.547906 : CheckPoint: Validation Loss  0.00029743, Best Loss  0.00029628
2021-09-15 20:42:11.785157 : Epoch  2, Batch    341, Loss  0.625656, Average Loss  0.631195, Time  0.234299
2021-09-15 20:42:13.301878 : Epoch  2, Batch    342, Loss  0.615275, Average Loss  0.631087, Time  0.234387
2021-09-15 20:42:13.583814 : Epoch  2, Batch   1445, Loss  0.850895, Average Loss  0.871619, Time  0.268457
2021-09-15 20:42:14.806092 : Epoch  2, Batch    343, Loss  0.629029, Average Loss  0.631114, Time  0.234437
2021-09-15 20:42:16.309721 : Epoch  2, Batch    344, Loss  0.623359, Average Loss  0.631066, Time  0.234327
2021-09-15 20:42:16.627151 : Epoch  2, Batch   1446, Loss  0.865433, Average Loss  0.871670, Time  0.266379
2021-09-15 20:42:17.820013 : Epoch  2, Batch    345, Loss  0.625315, Average Loss  0.630987, Time  0.235814
2021-09-15 20:42:19.334790 : Epoch  2, Batch    346, Loss  0.626255, Average Loss  0.630901, Time  0.234133
2021-09-15 20:42:19.651450 : Epoch  2, Batch   1447, Loss  0.866401, Average Loss  0.871641, Time  0.265815
2021-09-15 20:42:20.846860 : Epoch  2, Batch    347, Loss  0.613812, Average Loss  0.630726, Time  0.234597
2021-09-15 20:42:22.357883 : Epoch  2, Batch    348, Loss  0.630749, Average Loss  0.630707, Time  0.234526
2021-09-15 20:42:22.634825 : Epoch  2, Batch   1448, Loss  0.882657, Average Loss  0.871688, Time  0.266442
2021-09-15 20:42:23.873369 : Epoch  2, Batch    349, Loss  0.629338, Average Loss  0.630681, Time  0.234617
2021-09-15 20:42:25.370929 : Epoch  2, Batch    350, Loss  0.621662, Average Loss  0.630571, Time  0.234373
2021-09-15 20:42:25.613788 : Epoch  2, Batch   1449, Loss  0.876076, Average Loss  0.871614, Time  0.265115
2021-09-15 20:42:26.881019 : Epoch  2, Batch    351, Loss  0.620696, Average Loss  0.630467, Time  0.234243
2021-09-15 20:42:28.392226 : Epoch  2, Batch    352, Loss  0.623453, Average Loss  0.630394, Time  0.234399
2021-09-15 20:42:28.585786 : Epoch  2, Batch   1450, Loss  0.873466, Average Loss  0.871655, Time  0.265370
2021-09-15 20:42:29.899011 : Epoch  2, Batch    353, Loss  0.629029, Average Loss  0.630360, Time  0.234126
2021-09-15 20:42:31.412429 : Epoch  2, Batch    354, Loss  0.626454, Average Loss  0.630306, Time  0.234089
2021-09-15 20:42:31.567593 : Epoch  2, Batch   1451, Loss  0.856658, Average Loss  0.871534, Time  0.265353
2021-09-15 20:42:32.929118 : Epoch  2, Batch    355, Loss  0.622258, Average Loss  0.630206, Time  0.234484
2021-09-15 20:42:34.426889 : Epoch  2, Batch    356, Loss  0.627781, Average Loss  0.630186, Time  0.234231
2021-09-15 20:42:34.574934 : Epoch  2, Batch   1452, Loss  0.859349, Average Loss  0.871512, Time  0.277708
2021-09-15 20:42:35.930784 : Epoch  2, Batch    357, Loss  0.616787, Average Loss  0.630040, Time  0.235263
2021-09-15 20:42:37.438250 : Epoch  2, Batch    358, Loss  0.619379, Average Loss  0.629932, Time  0.234283
2021-09-15 20:42:37.562056 : Epoch  2, Batch   1453, Loss  0.875281, Average Loss  0.871477, Time  0.266521
2021-09-15 20:42:38.943712 : Epoch  2, Batch    359, Loss  0.624657, Average Loss  0.629865, Time  0.234298
2021-09-15 20:42:40.467951 : Epoch  2, Batch    360, Loss  0.621173, Average Loss  0.629772, Time  0.234834
2021-09-15 20:42:40.570298 : Epoch  2, Batch   1454, Loss  0.875970, Average Loss  0.871507, Time  0.265295
2021-09-15 20:42:41.972174 : Epoch  2, Batch    361, Loss  0.623972, Average Loss  0.629743, Time  0.234653
2021-09-15 20:42:43.481810 : Epoch  2, Batch    362, Loss  0.600415, Average Loss  0.629543, Time  0.234303
2021-09-15 20:42:43.577013 : Epoch  2, Batch   1455, Loss  0.871245, Average Loss  0.871553, Time  0.265515
2021-09-15 20:42:44.986009 : Epoch  2, Batch    363, Loss  0.616079, Average Loss  0.629394, Time  0.234022
2021-09-15 20:42:46.494510 : Epoch  2, Batch    364, Loss  0.610260, Average Loss  0.629211, Time  0.234917
2021-09-15 20:42:46.562182 : Epoch  2, Batch   1456, Loss  0.864301, Average Loss  0.871573, Time  0.265349
2021-09-15 20:42:48.005152 : Epoch  2, Batch    365, Loss  0.611381, Average Loss  0.629031, Time  0.234272
2021-09-15 20:42:49.514144 : Epoch  2, Batch    366, Loss  0.617976, Average Loss  0.628897, Time  0.234343
2021-09-15 20:42:49.556057 : Epoch  2, Batch   1457, Loss  0.881424, Average Loss  0.871646, Time  0.265776
2021-09-15 20:42:51.025897 : Epoch  2, Batch    367, Loss  0.624191, Average Loss  0.628766, Time  0.234380
2021-09-15 20:42:52.534715 : Epoch  2, Batch    368, Loss  0.617744, Average Loss  0.628649, Time  0.234879
2021-09-15 20:42:52.578498 : Epoch  2, Batch   1458, Loss  0.875438, Average Loss  0.871659, Time  0.265455
2021-09-15 20:42:54.037833 : Epoch  2, Batch    369, Loss  0.626144, Average Loss  0.628658, Time  0.234752
2021-09-15 20:42:55.541024 : Epoch  2, Batch    370, Loss  0.622899, Average Loss  0.628599, Time  0.235124
2021-09-15 20:42:55.596350 : Epoch  2, Batch   1459, Loss  0.870140, Average Loss  0.871614, Time  0.265356
2021-09-15 20:42:57.044084 : Epoch  2, Batch    371, Loss  0.618670, Average Loss  0.628479, Time  0.234550
2021-09-15 20:42:58.550032 : Epoch  2, Batch    372, Loss  0.622663, Average Loss  0.628401, Time  0.234272
2021-09-15 20:42:58.585237 : Epoch  2, Batch   1460, Loss  0.876873, Average Loss  0.871749, Time  0.265597
2021-09-15 20:43:00.059020 : Epoch  2, Batch    373, Loss  0.624776, Average Loss  0.628322, Time  0.234478
2021-09-15 20:43:01.560892 : Epoch  2, Batch    374, Loss  0.631130, Average Loss  0.628259, Time  0.234499
2021-09-15 20:43:01.571635 : Epoch  2, Batch   1461, Loss  0.853060, Average Loss  0.871621, Time  0.264976
2021-09-15 20:43:03.062203 : Epoch  2, Batch    375, Loss  0.619743, Average Loss  0.628220, Time  0.234125
2021-09-15 20:43:04.560125 : Epoch  2, Batch    376, Loss  0.614432, Average Loss  0.628079, Time  0.234239
2021-09-15 20:43:04.579794 : Epoch  2, Batch   1462, Loss  0.854486, Average Loss  0.871591, Time  0.264846
2021-09-15 20:43:06.070133 : Epoch  2, Batch    377, Loss  0.629167, Average Loss  0.628041, Time  0.235633
2021-09-15 20:43:07.576753 : Epoch  2, Batch    378, Loss  0.619893, Average Loss  0.627925, Time  0.235155
2021-09-15 20:43:07.601310 : Epoch  2, Batch   1463, Loss  0.865213, Average Loss  0.871672, Time  0.265828
2021-09-15 20:43:09.083876 : Epoch  2, Batch    379, Loss  0.624957, Average Loss  0.627854, Time  0.234426
2021-09-15 20:43:10.596065 : Epoch  2, Batch    380, Loss  0.613166, Average Loss  0.627697, Time  0.234463
2021-09-15 20:43:10.618808 : Epoch  2, Batch   1464, Loss  0.861034, Average Loss  0.871651, Time  0.265185
2021-09-15 20:43:12.111275 : Epoch  2, Batch    381, Loss  0.638683, Average Loss  0.627722, Time  0.234407
2021-09-15 20:43:13.615811 : Epoch  2, Batch    382, Loss  0.626708, Average Loss  0.627701, Time  0.234076
2021-09-15 20:43:13.641169 : Epoch  2, Batch   1465, Loss  0.864691, Average Loss  0.871591, Time  0.265079
2021-09-15 20:43:15.125071 : Epoch  2, Batch    383, Loss  0.616843, Average Loss  0.627566, Time  0.234536
2021-09-15 20:43:16.667909 : Epoch  2, Batch   1466, Loss  0.884769, Average Loss  0.871620, Time  0.268015
2021-09-15 20:43:19.046868 : Epoch  2, Batch    384, Loss  0.626996, Average Loss  0.627522, Time  0.266104
2021-09-15 20:43:19.671909 : Epoch  2, Batch   1467, Loss  0.883322, Average Loss  0.871761, Time  0.277237
2021-09-15 20:43:20.548007 : Epoch  2, Batch    385, Loss  0.624497, Average Loss  0.627496, Time  0.238532
2021-09-15 20:43:22.049183 : Epoch  2, Batch    386, Loss  0.621139, Average Loss  0.627399, Time  0.234498
2021-09-15 20:43:22.683029 : Epoch  2, Batch   1468, Loss  0.863133, Average Loss  0.871625, Time  0.267175
2021-09-15 20:43:23.552341 : Epoch  2, Batch    387, Loss  0.617951, Average Loss  0.627353, Time  0.235319
2021-09-15 20:43:25.047495 : Epoch  2, Batch    388, Loss  0.628207, Average Loss  0.627342, Time  0.235193
2021-09-15 20:43:25.685986 : Epoch  2, Batch   1469, Loss  0.864310, Average Loss  0.871579, Time  0.265974
2021-09-15 20:43:26.547790 : Epoch  2, Batch    389, Loss  0.635193, Average Loss  0.627339, Time  0.234273
2021-09-15 20:43:28.050012 : Epoch  2, Batch    390, Loss  0.612529, Average Loss  0.627208, Time  0.234057
2021-09-15 20:43:28.663390 : Epoch  2, Batch   1470, Loss  0.860168, Average Loss  0.871595, Time  0.265085
2021-09-15 20:43:29.555158 : Epoch  2, Batch    391, Loss  0.628236, Average Loss  0.627103, Time  0.234893
2021-09-15 20:43:31.056833 : Epoch  2, Batch    392, Loss  0.614403, Average Loss  0.627029, Time  0.235164
2021-09-15 20:43:31.667345 : Epoch  2, Batch   1471, Loss  0.854205, Average Loss  0.871510, Time  0.265983
2021-09-15 20:43:32.554355 : Epoch  2, Batch    393, Loss  0.627403, Average Loss  0.626963, Time  0.233719
2021-09-15 20:43:34.051421 : Epoch  2, Batch    394, Loss  0.627544, Average Loss  0.626891, Time  0.233988
2021-09-15 20:43:34.688807 : Epoch  2, Batch   1472, Loss  0.871937, Average Loss  0.871629, Time  0.265479
2021-09-15 20:43:35.540053 : Epoch  2, Batch    395, Loss  0.617275, Average Loss  0.626805, Time  0.234746
2021-09-15 20:43:37.038717 : Epoch  2, Batch    396, Loss  0.614915, Average Loss  0.626708, Time  0.234368
2021-09-15 20:43:37.705167 : Epoch  2, Batch   1473, Loss  0.879341, Average Loss  0.871737, Time  0.265585
2021-09-15 20:43:38.534926 : Epoch  2, Batch    397, Loss  0.604371, Average Loss  0.626612, Time  0.234436
2021-09-15 20:43:40.041990 : Epoch  2, Batch    398, Loss  0.627387, Average Loss  0.626590, Time  0.234173
2021-09-15 20:43:40.693605 : Epoch  2, Batch   1474, Loss  0.864447, Average Loss  0.871630, Time  0.265388
2021-09-15 20:43:41.534897 : Epoch  2, Batch    399, Loss  0.630120, Average Loss  0.626599, Time  0.233958
2021-09-15 20:43:43.029211 : Epoch  2, Batch    400, Loss  0.617652, Average Loss  0.626513, Time  0.233937
2021-09-15 20:43:43.706803 : Epoch  2, Batch   1475, Loss  0.875553, Average Loss  0.871607, Time  0.265416
2021-09-15 20:43:44.527968 : Epoch  2, Batch    401, Loss  0.615313, Average Loss  0.626414, Time  0.234038
2021-09-15 20:43:46.021904 : Epoch  2, Batch    402, Loss  0.627687, Average Loss  0.626359, Time  0.233912
2021-09-15 20:43:46.718529 : Epoch  2, Batch   1476, Loss  0.860884, Average Loss  0.871571, Time  0.265635
2021-09-15 20:43:47.512070 : Epoch  2, Batch    403, Loss  0.616040, Average Loss  0.626244, Time  0.234255
2021-09-15 20:43:49.012895 : Epoch  2, Batch    404, Loss  0.628687, Average Loss  0.626217, Time  0.234753
2021-09-15 20:43:49.725397 : Epoch  2, Batch   1477, Loss  0.871554, Average Loss  0.871539, Time  0.265856
2021-09-15 20:43:50.509251 : Epoch  2, Batch    405, Loss  0.616413, Average Loss  0.626123, Time  0.234725
2021-09-15 20:43:52.017720 : Epoch  2, Batch    406, Loss  0.620798, Average Loss  0.626069, Time  0.238017
2021-09-15 20:43:52.729662 : Epoch  2, Batch   1478, Loss  0.877393, Average Loss  0.871558, Time  0.265626
2021-09-15 20:43:53.514905 : Epoch  2, Batch    407, Loss  0.627267, Average Loss  0.626057, Time  0.234350
2021-09-15 20:43:55.021740 : Epoch  2, Batch    408, Loss  0.612448, Average Loss  0.625983, Time  0.234138
2021-09-15 20:43:55.721920 : Epoch  2, Batch   1479, Loss  0.877895, Average Loss  0.871611, Time  0.265299
2021-09-15 20:43:56.522142 : Epoch  2, Batch    409, Loss  0.620928, Average Loss  0.625923, Time  0.234642
2021-09-15 20:43:58.020700 : Epoch  2, Batch    410, Loss  0.622115, Average Loss  0.625892, Time  0.235783
2021-09-15 20:43:58.737452 : Epoch  2, Batch   1480, Loss  0.851754, Average Loss  0.871509, Time  0.266514
2021-09-15 20:43:59.523020 : Epoch  2, Batch    411, Loss  0.622077, Average Loss  0.625841, Time  0.234326
2021-09-15 20:44:01.069400 : Epoch  2, Batch    412, Loss  0.617165, Average Loss  0.625822, Time  0.234408
2021-09-15 20:44:01.729989 : Epoch  2, Batch   1481, Loss  0.857625, Average Loss  0.871521, Time  0.265372
2021-09-15 20:44:02.575026 : Epoch  2, Batch    413, Loss  0.613580, Average Loss  0.625692, Time  0.234686
2021-09-15 20:44:04.748215 : Epoch  2, Batch   1482, Loss  0.879901, Average Loss  0.871554, Time  0.280335
2021-09-15 20:44:07.760960 : Epoch  2, Batch   1483, Loss  0.875916, Average Loss  0.871565, Time  0.265959
2021-09-15 20:44:10.803280 : Epoch  2, Batch   1484, Loss  0.890583, Average Loss  0.871612, Time  0.265918
2021-09-15 20:44:13.815475 : Epoch  2, Batch   1485, Loss  0.883431, Average Loss  0.871558, Time  0.266189
2021-09-15 20:44:16.841344 : Epoch  2, Batch   1486, Loss  0.882716, Average Loss  0.871504, Time  0.266375
2021-09-15 20:44:19.844436 : Epoch  2, Batch   1487, Loss  0.880001, Average Loss  0.871603, Time  0.267866
2021-09-15 20:44:22.844191 : Epoch  2, Batch   1488, Loss  0.881795, Average Loss  0.871732, Time  0.266085
2021-09-15 20:44:25.846402 : Epoch  2, Batch   1489, Loss  0.881581, Average Loss  0.871801, Time  0.266438
2021-09-15 20:44:28.847555 : Epoch  2, Batch   1490, Loss  0.871448, Average Loss  0.871887, Time  0.265508
2021-09-15 20:44:31.826819 : Epoch  2, Batch   1491, Loss  0.876770, Average Loss  0.871929, Time  0.265427
2021-09-15 20:44:34.810291 : Epoch  2, Batch   1492, Loss  0.869065, Average Loss  0.871895, Time  0.264381
2021-09-15 20:44:37.795277 : Epoch  2, Batch   1493, Loss  0.867225, Average Loss  0.871831, Time  0.265253
2021-09-15 20:44:40.776494 : Epoch  2, Batch   1494, Loss  0.870811, Average Loss  0.871861, Time  0.264993
2021-09-15 20:44:43.760972 : Epoch  2, Batch   1495, Loss  0.875842, Average Loss  0.871860, Time  0.265809
2021-09-15 20:44:46.741389 : Epoch  2, Batch   1496, Loss  0.882077, Average Loss  0.871834, Time  0.266945
2021-09-15 20:44:49.741367 : Epoch  2, Batch   1497, Loss  0.878467, Average Loss  0.871878, Time  0.277665
2021-09-15 20:44:52.763949 : Epoch  2, Batch   1498, Loss  0.878218, Average Loss  0.871938, Time  0.266392
2021-09-15 20:44:55.763730 : Epoch  2, Batch   1499, Loss  0.865365, Average Loss  0.871987, Time  0.265300
2021-09-15 20:44:58.745987 : Epoch  2, Batch   1500, Loss  0.874724, Average Loss  0.871994, Time  0.264629
2021-09-15 20:44:58.904467 : CheckPoint: Validation Loss  0.00025012, Best Loss  0.00025012
2021-09-15 20:44:58.923480 : Best Model Updated
2021-09-15 20:45:01.133058 : Epoch  2, Batch    414, Loss  0.621267, Average Loss  0.625691, Time  0.235105
2021-09-15 20:45:01.734113 : Epoch  2, Batch   1501, Loss  0.868481, Average Loss  0.871913, Time  0.265277
2021-09-15 20:45:02.638669 : Epoch  2, Batch    415, Loss  0.617720, Average Loss  0.625619, Time  0.234913
2021-09-15 20:45:04.139458 : Epoch  2, Batch    416, Loss  0.618469, Average Loss  0.625548, Time  0.236598
2021-09-15 20:45:04.720679 : Epoch  2, Batch   1502, Loss  0.867389, Average Loss  0.871951, Time  0.265962
2021-09-15 20:45:05.653754 : Epoch  2, Batch    417, Loss  0.616342, Average Loss  0.625451, Time  0.234898
2021-09-15 20:45:07.168029 : Epoch  2, Batch    418, Loss  0.613751, Average Loss  0.625374, Time  0.234166
2021-09-15 20:45:07.742750 : Epoch  2, Batch   1503, Loss  0.889418, Average Loss  0.872007, Time  0.265902
2021-09-15 20:45:08.679418 : Epoch  2, Batch    419, Loss  0.626413, Average Loss  0.625374, Time  0.234715
2021-09-15 20:45:10.186067 : Epoch  2, Batch    420, Loss  0.616442, Average Loss  0.625338, Time  0.234516
2021-09-15 20:45:10.759576 : Epoch  2, Batch   1504, Loss  0.882427, Average Loss  0.872012, Time  0.266030
2021-09-15 20:45:11.698143 : Epoch  2, Batch    421, Loss  0.627302, Average Loss  0.625335, Time  0.234462
2021-09-15 20:45:13.211420 : Epoch  2, Batch    422, Loss  0.630476, Average Loss  0.625321, Time  0.234260
2021-09-15 20:45:13.754691 : Epoch  2, Batch   1505, Loss  0.870693, Average Loss  0.871991, Time  0.265575
2021-09-15 20:45:14.727898 : Epoch  2, Batch    423, Loss  0.622200, Average Loss  0.625259, Time  0.234221
2021-09-15 20:45:16.240247 : Epoch  2, Batch    424, Loss  0.615132, Average Loss  0.625155, Time  0.234734
2021-09-15 20:45:16.772145 : Epoch  2, Batch   1506, Loss  0.876690, Average Loss  0.872021, Time  0.265843
2021-09-15 20:45:17.754952 : Epoch  2, Batch    425, Loss  0.630521, Average Loss  0.625155, Time  0.234342
2021-09-15 20:45:19.267692 : Epoch  2, Batch    426, Loss  0.615246, Average Loss  0.625074, Time  0.235033
2021-09-15 20:45:19.801822 : Epoch  2, Batch   1507, Loss  0.870122, Average Loss  0.871955, Time  0.267338
2021-09-15 20:45:20.773961 : Epoch  2, Batch    427, Loss  0.603970, Average Loss  0.624938, Time  0.235173
2021-09-15 20:45:22.283775 : Epoch  2, Batch    428, Loss  0.616597, Average Loss  0.624838, Time  0.234179
2021-09-15 20:45:22.812196 : Epoch  2, Batch   1508, Loss  0.881590, Average Loss  0.871970, Time  0.266862
2021-09-15 20:45:23.793096 : Epoch  2, Batch    429, Loss  0.621506, Average Loss  0.624826, Time  0.235224
2021-09-15 20:45:25.301834 : Epoch  2, Batch    430, Loss  0.619536, Average Loss  0.624768, Time  0.234455
2021-09-15 20:45:25.824191 : Epoch  2, Batch   1509, Loss  0.863881, Average Loss  0.871857, Time  0.267072
2021-09-15 20:45:26.806842 : Epoch  2, Batch    431, Loss  0.617859, Average Loss  0.624698, Time  0.234348
2021-09-15 20:45:28.317243 : Epoch  2, Batch    432, Loss  0.621370, Average Loss  0.624622, Time  0.234305
2021-09-15 20:45:28.840358 : Epoch  2, Batch   1510, Loss  0.873031, Average Loss  0.871823, Time  0.265525
2021-09-15 20:45:29.822053 : Epoch  2, Batch    433, Loss  0.621301, Average Loss  0.624553, Time  0.234450
2021-09-15 20:45:31.325186 : Epoch  2, Batch    434, Loss  0.617128, Average Loss  0.624479, Time  0.234240
2021-09-15 20:45:31.811070 : Epoch  2, Batch   1511, Loss  0.867937, Average Loss  0.871772, Time  0.265529
2021-09-15 20:45:32.821868 : Epoch  2, Batch    435, Loss  0.620898, Average Loss  0.624404, Time  0.234441
2021-09-15 20:45:34.325056 : Epoch  2, Batch    436, Loss  0.636123, Average Loss  0.624412, Time  0.234509
2021-09-15 20:45:34.806063 : Epoch  2, Batch   1512, Loss  0.891930, Average Loss  0.871937, Time  0.272415
2021-09-15 20:45:35.821702 : Epoch  2, Batch    437, Loss  0.620114, Average Loss  0.624364, Time  0.234635
2021-09-15 20:45:37.320771 : Epoch  2, Batch    438, Loss  0.623120, Average Loss  0.624361, Time  0.234833
2021-09-15 20:45:37.789876 : Epoch  2, Batch   1513, Loss  0.842984, Average Loss  0.871834, Time  0.265009
2021-09-15 20:45:38.812071 : Epoch  2, Batch    439, Loss  0.631193, Average Loss  0.624388, Time  0.234302
2021-09-15 20:45:40.307626 : Epoch  2, Batch    440, Loss  0.622666, Average Loss  0.624341, Time  0.234396
2021-09-15 20:45:40.758406 : Epoch  2, Batch   1514, Loss  0.849496, Average Loss  0.871792, Time  0.265366
2021-09-15 20:45:41.811069 : Epoch  2, Batch    441, Loss  0.605150, Average Loss  0.624291, Time  0.234492
2021-09-15 20:45:43.312997 : Epoch  2, Batch    442, Loss  0.612441, Average Loss  0.624251, Time  0.234499
2021-09-15 20:45:43.741928 : Epoch  2, Batch   1515, Loss  0.875797, Average Loss  0.871855, Time  0.264917
2021-09-15 20:45:44.810056 : Epoch  2, Batch    443, Loss  0.615560, Average Loss  0.624152, Time  0.234978
2021-09-15 20:45:46.308963 : Epoch  2, Batch    444, Loss  0.631423, Average Loss  0.624099, Time  0.234062
2021-09-15 20:45:46.738391 : Epoch  2, Batch   1516, Loss  0.887666, Average Loss  0.872029, Time  0.265734
2021-09-15 20:45:47.801871 : Epoch  2, Batch    445, Loss  0.623082, Average Loss  0.624103, Time  0.234820
2021-09-15 20:45:49.304610 : Epoch  2, Batch    446, Loss  0.615278, Average Loss  0.624007, Time  0.234508
2021-09-15 20:45:49.723949 : Epoch  2, Batch   1517, Loss  0.878452, Average Loss  0.872107, Time  0.265556
2021-09-15 20:45:50.806037 : Epoch  2, Batch    447, Loss  0.611201, Average Loss  0.623931, Time  0.234787
2021-09-15 20:45:52.303232 : Epoch  2, Batch    448, Loss  0.623614, Average Loss  0.623901, Time  0.234447
2021-09-15 20:45:52.712244 : Epoch  2, Batch   1518, Loss  0.871848, Average Loss  0.872034, Time  0.264964
2021-09-15 20:45:53.811291 : Epoch  2, Batch    449, Loss  0.629650, Average Loss  0.623905, Time  0.234911
2021-09-15 20:45:55.320015 : Epoch  2, Batch    450, Loss  0.622775, Average Loss  0.623888, Time  0.234274
2021-09-15 20:45:55.711808 : Epoch  2, Batch   1519, Loss  0.867685, Average Loss  0.872036, Time  0.265186
2021-09-15 20:45:56.822101 : Epoch  2, Batch    451, Loss  0.624383, Average Loss  0.623831, Time  0.234461
2021-09-15 20:45:58.324177 : Epoch  2, Batch    452, Loss  0.619787, Average Loss  0.623764, Time  0.234255
2021-09-15 20:45:58.689032 : Epoch  2, Batch   1520, Loss  0.859448, Average Loss  0.871966, Time  0.265958
2021-09-15 20:45:59.828815 : Epoch  2, Batch    453, Loss  0.621436, Average Loss  0.623744, Time  0.234414
2021-09-15 20:46:01.330717 : Epoch  2, Batch    454, Loss  0.623099, Average Loss  0.623706, Time  0.233987
2021-09-15 20:46:01.702217 : Epoch  2, Batch   1521, Loss  0.868281, Average Loss  0.871879, Time  0.265598
2021-09-15 20:46:02.829570 : Epoch  2, Batch    455, Loss  0.631194, Average Loss  0.623699, Time  0.234450
2021-09-15 20:46:04.338031 : Epoch  2, Batch    456, Loss  0.631123, Average Loss  0.623688, Time  0.234406
2021-09-15 20:46:04.702251 : Epoch  2, Batch   1522, Loss  0.889582, Average Loss  0.872175, Time  0.265486
2021-09-15 20:46:05.841087 : Epoch  2, Batch    457, Loss  0.601488, Average Loss  0.623559, Time  0.234383
2021-09-15 20:46:07.357121 : Epoch  2, Batch    458, Loss  0.627806, Average Loss  0.623591, Time  0.234378
2021-09-15 20:46:07.684497 : Epoch  2, Batch   1523, Loss  0.881625, Average Loss  0.872205, Time  0.265312
2021-09-15 20:46:08.861230 : Epoch  2, Batch    459, Loss  0.626477, Average Loss  0.623530, Time  0.234643
2021-09-15 20:46:10.355977 : Epoch  2, Batch    460, Loss  0.619365, Average Loss  0.623492, Time  0.234427
2021-09-15 20:46:10.665847 : Epoch  2, Batch   1524, Loss  0.868704, Average Loss  0.872215, Time  0.265252
2021-09-15 20:46:11.854163 : Epoch  2, Batch    461, Loss  0.629634, Average Loss  0.623573, Time  0.234521
2021-09-15 20:46:13.350695 : Epoch  2, Batch    462, Loss  0.621367, Average Loss  0.623519, Time  0.234274
2021-09-15 20:46:13.643420 : Epoch  2, Batch   1525, Loss  0.885855, Average Loss  0.872189, Time  0.264775
2021-09-15 20:46:14.853918 : Epoch  2, Batch    463, Loss  0.627144, Average Loss  0.623521, Time  0.235126
2021-09-15 20:46:16.351973 : Epoch  2, Batch    464, Loss  0.618695, Average Loss  0.623492, Time  0.234470
2021-09-15 20:46:16.632002 : Epoch  2, Batch   1526, Loss  0.884545, Average Loss  0.872305, Time  0.265913
2021-09-15 20:46:17.863564 : Epoch  2, Batch    465, Loss  0.619948, Average Loss  0.623421, Time  0.234663
2021-09-15 20:46:19.373248 : Epoch  2, Batch    466, Loss  0.622663, Average Loss  0.623390, Time  0.235419
2021-09-15 20:46:19.648297 : Epoch  2, Batch   1527, Loss  0.872354, Average Loss  0.872338, Time  0.278599
2021-09-15 20:46:20.880165 : Epoch  2, Batch    467, Loss  0.625174, Average Loss  0.623365, Time  0.236197
2021-09-15 20:46:22.379546 : Epoch  2, Batch    468, Loss  0.614942, Average Loss  0.623264, Time  0.234211
2021-09-15 20:46:22.672222 : Epoch  2, Batch   1528, Loss  0.876237, Average Loss  0.872336, Time  0.267376
2021-09-15 20:46:23.883866 : Epoch  2, Batch    469, Loss  0.628150, Average Loss  0.623287, Time  0.235249
2021-09-15 20:46:25.384061 : Epoch  2, Batch    470, Loss  0.616149, Average Loss  0.623188, Time  0.233999
2021-09-15 20:46:25.679289 : Epoch  2, Batch   1529, Loss  0.864615, Average Loss  0.872379, Time  0.267130
2021-09-15 20:46:26.886223 : Epoch  2, Batch    471, Loss  0.618487, Average Loss  0.623169, Time  0.234506
2021-09-15 20:46:28.383842 : Epoch  2, Batch    472, Loss  0.627706, Average Loss  0.623154, Time  0.234470
2021-09-15 20:46:28.669069 : Epoch  2, Batch   1530, Loss  0.886564, Average Loss  0.872441, Time  0.265917
2021-09-15 20:46:29.893944 : Epoch  2, Batch    473, Loss  0.619329, Average Loss  0.623063, Time  0.234496
2021-09-15 20:46:31.391726 : Epoch  2, Batch    474, Loss  0.614211, Average Loss  0.623016, Time  0.234423
2021-09-15 20:46:31.641270 : Epoch  2, Batch   1531, Loss  0.860952, Average Loss  0.872325, Time  0.265120
2021-09-15 20:46:32.886010 : Epoch  2, Batch    475, Loss  0.621264, Average Loss  0.622975, Time  0.234457
2021-09-15 20:46:34.379895 : Epoch  2, Batch    476, Loss  0.633505, Average Loss  0.623019, Time  0.234162
2021-09-15 20:46:34.622148 : Epoch  2, Batch   1532, Loss  0.854882, Average Loss  0.872289, Time  0.266157
2021-09-15 20:46:35.875817 : Epoch  2, Batch    477, Loss  0.625263, Average Loss  0.623004, Time  0.234538
2021-09-15 20:46:37.374148 : Epoch  2, Batch    478, Loss  0.627634, Average Loss  0.622956, Time  0.234226
2021-09-15 20:46:37.656426 : Epoch  2, Batch   1533, Loss  0.869928, Average Loss  0.872188, Time  0.266432
2021-09-15 20:46:38.878020 : Epoch  2, Batch    479, Loss  0.621079, Average Loss  0.622917, Time  0.234107
2021-09-15 20:46:40.399782 : Epoch  2, Batch    480, Loss  0.623028, Average Loss  0.622902, Time  0.234507
2021-09-15 20:46:40.673327 : Epoch  2, Batch   1534, Loss  0.874663, Average Loss  0.872276, Time  0.265346
2021-09-15 20:46:41.902843 : Epoch  2, Batch    481, Loss  0.618832, Average Loss  0.622859, Time  0.234653
2021-09-15 20:46:43.405178 : Epoch  2, Batch    482, Loss  0.623909, Average Loss  0.622810, Time  0.233960
2021-09-15 20:46:43.661613 : Epoch  2, Batch   1535, Loss  0.879563, Average Loss  0.872216, Time  0.265814
2021-09-15 20:46:44.907992 : Epoch  2, Batch    483, Loss  0.622163, Average Loss  0.622750, Time  0.235276
2021-09-15 20:46:46.656824 : Epoch  2, Batch   1536, Loss  0.895605, Average Loss  0.872339, Time  0.264817
2021-09-15 20:46:48.735949 : Epoch  2, Batch    484, Loss  0.607392, Average Loss  0.622667, Time  0.268925
2021-09-15 20:46:49.618046 : Epoch  2, Batch   1537, Loss  0.882623, Average Loss  0.872387, Time  0.264201
2021-09-15 20:46:50.258489 : Epoch  2, Batch    485, Loss  0.619816, Average Loss  0.622632, Time  0.250441
2021-09-15 20:46:51.764015 : Epoch  2, Batch    486, Loss  0.623152, Average Loss  0.622637, Time  0.238705
2021-09-15 20:46:52.652260 : Epoch  2, Batch   1538, Loss  0.905718, Average Loss  0.872502, Time  0.264784
2021-09-15 20:46:53.256409 : Epoch  2, Batch    487, Loss  0.614529, Average Loss  0.622561, Time  0.234302
2021-09-15 20:46:54.745943 : Epoch  2, Batch    488, Loss  0.622135, Average Loss  0.622520, Time  0.234421
2021-09-15 20:46:55.644540 : Epoch  2, Batch   1539, Loss  0.866795, Average Loss  0.872492, Time  0.266171
2021-09-15 20:46:56.239937 : Epoch  2, Batch    489, Loss  0.619664, Average Loss  0.622489, Time  0.234600
2021-09-15 20:46:57.744190 : Epoch  2, Batch    490, Loss  0.612167, Average Loss  0.622433, Time  0.234163
2021-09-15 20:46:58.634483 : Epoch  2, Batch   1540, Loss  0.887400, Average Loss  0.872680, Time  0.264737
2021-09-15 20:46:59.243940 : Epoch  2, Batch    491, Loss  0.630901, Average Loss  0.622438, Time  0.234748
2021-09-15 20:47:00.744228 : Epoch  2, Batch    492, Loss  0.622346, Average Loss  0.622401, Time  0.234339
2021-09-15 20:47:01.649017 : Epoch  2, Batch   1541, Loss  0.857440, Average Loss  0.872514, Time  0.266040
2021-09-15 20:47:02.255083 : Epoch  2, Batch    493, Loss  0.628121, Average Loss  0.622425, Time  0.234392
2021-09-15 20:47:03.758865 : Epoch  2, Batch    494, Loss  0.624786, Average Loss  0.622432, Time  0.234293
2021-09-15 20:47:04.680875 : Epoch  2, Batch   1542, Loss  0.876965, Average Loss  0.872501, Time  0.274111
2021-09-15 20:47:05.261209 : Epoch  2, Batch    495, Loss  0.612819, Average Loss  0.622361, Time  0.234797
2021-09-15 20:47:06.774013 : Epoch  2, Batch    496, Loss  0.614337, Average Loss  0.622302, Time  0.234405
2021-09-15 20:47:07.689899 : Epoch  2, Batch   1543, Loss  0.864339, Average Loss  0.872439, Time  0.265802
2021-09-15 20:47:08.277080 : Epoch  2, Batch    497, Loss  0.620399, Average Loss  0.622254, Time  0.234378
2021-09-15 20:47:09.782220 : Epoch  2, Batch    498, Loss  0.627951, Average Loss  0.622274, Time  0.234556
2021-09-15 20:47:10.710845 : Epoch  2, Batch   1544, Loss  0.867616, Average Loss  0.872376, Time  0.265074
2021-09-15 20:47:11.288049 : Epoch  2, Batch    499, Loss  0.621403, Average Loss  0.622232, Time  0.234380
2021-09-15 20:47:12.791964 : Epoch  2, Batch    500, Loss  0.618698, Average Loss  0.622203, Time  0.234560
2021-09-15 20:47:14.298483 : Epoch  2, Batch    501, Loss  0.616804, Average Loss  0.622175, Time  0.235361
2021-09-15 20:47:15.796745 : Epoch  2, Batch    502, Loss  0.622922, Average Loss  0.622084, Time  0.234214
2021-09-15 20:47:17.302243 : Epoch  2, Batch    503, Loss  0.624145, Average Loss  0.622051, Time  0.234719
2021-09-15 20:47:18.804758 : Epoch  2, Batch    504, Loss  0.618156, Average Loss  0.622026, Time  0.235543
2021-09-15 20:47:20.311683 : Epoch  2, Batch    505, Loss  0.602461, Average Loss  0.621944, Time  0.234935
2021-09-15 20:47:21.823226 : Epoch  2, Batch    506, Loss  0.617862, Average Loss  0.621893, Time  0.239284
2021-09-15 20:47:23.326174 : Epoch  2, Batch    507, Loss  0.615454, Average Loss  0.621861, Time  0.236016
2021-09-15 20:47:24.838665 : Epoch  2, Batch    508, Loss  0.633517, Average Loss  0.621901, Time  0.234891
2021-09-15 20:47:26.339999 : Epoch  2, Batch    509, Loss  0.617817, Average Loss  0.621890, Time  0.234157
2021-09-15 20:47:27.844956 : Epoch  2, Batch    510, Loss  0.619033, Average Loss  0.621863, Time  0.234532
2021-09-15 20:47:29.357480 : Epoch  2, Batch    511, Loss  0.617459, Average Loss  0.621858, Time  0.234552
2021-09-15 20:47:30.858418 : Epoch  2, Batch    512, Loss  0.610576, Average Loss  0.621737, Time  0.234594
2021-09-15 20:47:32.363797 : Epoch  2, Batch    513, Loss  0.622576, Average Loss  0.621682, Time  0.234550
2021-09-15 20:48:28.413697 : CheckPoint: Validation Loss  0.00025659, Best Loss  0.00025012
2021-09-15 20:48:29.927715 : Epoch  2, Batch    514, Loss  0.620493, Average Loss  0.621645, Time  0.234856
2021-09-15 20:48:31.459972 : Epoch  2, Batch    515, Loss  0.622358, Average Loss  0.621643, Time  0.234301
2021-09-15 20:48:32.979165 : Epoch  2, Batch    516, Loss  0.622002, Average Loss  0.621616, Time  0.234658
2021-09-15 20:48:34.483006 : Epoch  2, Batch    517, Loss  0.614155, Average Loss  0.621543, Time  0.234343
2021-09-15 20:48:35.984734 : Epoch  2, Batch    518, Loss  0.603948, Average Loss  0.621396, Time  0.234288
2021-09-15 20:48:37.496052 : Epoch  2, Batch    519, Loss  0.613401, Average Loss  0.621353, Time  0.235160
2021-09-15 20:48:39.003098 : Epoch  2, Batch    520, Loss  0.610102, Average Loss  0.621293, Time  0.234199
2021-09-15 20:48:40.504876 : Epoch  2, Batch    521, Loss  0.630961, Average Loss  0.621324, Time  0.234300
2021-09-15 20:48:42.015012 : Epoch  2, Batch    522, Loss  0.620987, Average Loss  0.621324, Time  0.234297
2021-09-15 20:48:43.519759 : Epoch  2, Batch    523, Loss  0.617014, Average Loss  0.621319, Time  0.234544
2021-09-15 20:48:45.022776 : Epoch  2, Batch    524, Loss  0.616384, Average Loss  0.621286, Time  0.234516
2021-09-15 20:48:46.533757 : Epoch  2, Batch    525, Loss  0.624122, Average Loss  0.621259, Time  0.234363
2021-09-15 20:48:48.034619 : Epoch  2, Batch    526, Loss  0.609528, Average Loss  0.621156, Time  0.234369
2021-09-15 20:48:49.545589 : Epoch  2, Batch    527, Loss  0.621090, Average Loss  0.621122, Time  0.234756
2021-09-15 20:48:51.060071 : Epoch  2, Batch    528, Loss  0.626365, Average Loss  0.621099, Time  0.234499
2021-09-15 20:48:52.563542 : Epoch  2, Batch    529, Loss  0.621378, Average Loss  0.621033, Time  0.234547
2021-09-15 20:48:54.064149 : Epoch  2, Batch    530, Loss  0.613609, Average Loss  0.621016, Time  0.234703
2021-09-15 20:48:55.572835 : Epoch  2, Batch    531, Loss  0.609279, Average Loss  0.620896, Time  0.234542
2021-09-15 20:48:57.079836 : Epoch  2, Batch    532, Loss  0.619165, Average Loss  0.620864, Time  0.234994
2021-09-15 20:48:58.593322 : Epoch  2, Batch    533, Loss  0.611721, Average Loss  0.620829, Time  0.235001
2021-09-15 20:49:00.108022 : Epoch  2, Batch    534, Loss  0.623682, Average Loss  0.620827, Time  0.234095
2021-09-15 20:49:01.608105 : Epoch  2, Batch    535, Loss  0.623281, Average Loss  0.620802, Time  0.235548
2021-09-15 20:49:03.104273 : Epoch  2, Batch    536, Loss  0.632981, Average Loss  0.620870, Time  0.234340
2021-09-15 20:49:04.599257 : Epoch  2, Batch    537, Loss  0.614568, Average Loss  0.620852, Time  0.233817
2021-09-15 20:49:06.107041 : Epoch  2, Batch    538, Loss  0.626780, Average Loss  0.620852, Time  0.234491
2021-09-15 20:49:07.607084 : Epoch  2, Batch    539, Loss  0.615491, Average Loss  0.620801, Time  0.233901
2021-09-15 20:49:09.112714 : Epoch  2, Batch    540, Loss  0.624764, Average Loss  0.620853, Time  0.235338
2021-09-15 20:49:10.613074 : Epoch  2, Batch    541, Loss  0.632484, Average Loss  0.620887, Time  0.235107
2021-09-15 20:49:12.110173 : Epoch  2, Batch    542, Loss  0.621177, Average Loss  0.620917, Time  0.234740
2021-09-15 20:49:13.608068 : Epoch  2, Batch    543, Loss  0.621090, Average Loss  0.620877, Time  0.234089
2021-09-15 20:49:15.123574 : Epoch  2, Batch    544, Loss  0.615157, Average Loss  0.620836, Time  0.234328
2021-09-15 20:49:16.624714 : Epoch  2, Batch    545, Loss  0.618611, Average Loss  0.620803, Time  0.234860
2021-09-15 20:49:18.123252 : Epoch  2, Batch    546, Loss  0.618295, Average Loss  0.620763, Time  0.234468
2021-09-15 20:49:19.620726 : Epoch  2, Batch    547, Loss  0.625519, Average Loss  0.620821, Time  0.234452
2021-09-15 20:49:21.123837 : Epoch  2, Batch    548, Loss  0.619877, Average Loss  0.620767, Time  0.234583
2021-09-15 20:49:22.630203 : Epoch  2, Batch    549, Loss  0.617695, Average Loss  0.620709, Time  0.234583
2021-09-15 20:49:24.133157 : Epoch  2, Batch    550, Loss  0.623957, Average Loss  0.620720, Time  0.235422
2021-09-15 20:49:25.637748 : Epoch  2, Batch    551, Loss  0.621980, Average Loss  0.620727, Time  0.235132
2021-09-15 20:49:27.159033 : Epoch  2, Batch    552, Loss  0.616607, Average Loss  0.620692, Time  0.235310
2021-09-15 20:49:28.665124 : Epoch  2, Batch    553, Loss  0.618134, Average Loss  0.620638, Time  0.234499
2021-09-15 20:49:30.161755 : Epoch  2, Batch    554, Loss  0.614962, Average Loss  0.620580, Time  0.235482
2021-09-15 20:49:31.669995 : Epoch  2, Batch    555, Loss  0.627275, Average Loss  0.620606, Time  0.234595
2021-09-15 20:49:33.176739 : Epoch  2, Batch    556, Loss  0.611841, Average Loss  0.620526, Time  0.236192
2021-09-15 20:49:34.681032 : Epoch  2, Batch    557, Loss  0.620061, Average Loss  0.620542, Time  0.234258
2021-09-15 20:49:36.203022 : Epoch  2, Batch    558, Loss  0.617832, Average Loss  0.620534, Time  0.234370
2021-09-15 20:49:37.696416 : Epoch  2, Batch    559, Loss  0.636765, Average Loss  0.620595, Time  0.234473
2021-09-15 20:49:39.198596 : Epoch  2, Batch    560, Loss  0.618671, Average Loss  0.620582, Time  0.234235
2021-09-15 20:49:40.697896 : Epoch  2, Batch    561, Loss  0.611493, Average Loss  0.620520, Time  0.234781
2021-09-15 20:49:42.194001 : Epoch  2, Batch    562, Loss  0.627252, Average Loss  0.620654, Time  0.234850
2021-09-15 20:49:43.694006 : Epoch  2, Batch    563, Loss  0.626258, Average Loss  0.620705, Time  0.234529
2021-09-15 20:49:45.196095 : Epoch  2, Batch    564, Loss  0.621833, Average Loss  0.620763, Time  0.234993
2021-09-15 20:49:46.692006 : Epoch  2, Batch    565, Loss  0.627507, Average Loss  0.620844, Time  0.234937
2021-09-15 20:49:48.195838 : Epoch  2, Batch    566, Loss  0.617481, Average Loss  0.620841, Time  0.236976
2021-09-15 20:49:49.701006 : Epoch  2, Batch    567, Loss  0.625582, Average Loss  0.620848, Time  0.234251
2021-09-15 20:49:51.202970 : Epoch  2, Batch    568, Loss  0.627195, Average Loss  0.620895, Time  0.234115
2021-09-15 20:49:52.713062 : Epoch  2, Batch    569, Loss  0.613592, Average Loss  0.620833, Time  0.235390
2021-09-15 20:49:54.217024 : Epoch  2, Batch    570, Loss  0.614154, Average Loss  0.620789, Time  0.234407
2021-09-15 20:49:55.720950 : Epoch  2, Batch    571, Loss  0.622510, Average Loss  0.620808, Time  0.234097
2021-09-15 20:49:57.224292 : Epoch  2, Batch    572, Loss  0.627272, Average Loss  0.620831, Time  0.235358
2021-09-15 20:49:58.722026 : Epoch  2, Batch    573, Loss  0.618516, Average Loss  0.620800, Time  0.234196
2021-09-15 20:50:00.225744 : Epoch  2, Batch    574, Loss  0.606497, Average Loss  0.620677, Time  0.234487
2021-09-15 20:50:01.732203 : Epoch  2, Batch    575, Loss  0.614683, Average Loss  0.620651, Time  0.235233
2021-09-15 20:50:03.245127 : Epoch  2, Batch    576, Loss  0.621388, Average Loss  0.620686, Time  0.235658
2021-09-15 20:50:04.760066 : Epoch  2, Batch    577, Loss  0.615213, Average Loss  0.620616, Time  0.236418
2021-09-15 20:50:06.261721 : Epoch  2, Batch    578, Loss  0.614219, Average Loss  0.620588, Time  0.235390
2021-09-15 20:50:07.773144 : Epoch  2, Batch    579, Loss  0.627246, Average Loss  0.620599, Time  0.234132
2021-09-15 20:50:09.273862 : Epoch  2, Batch    580, Loss  0.613609, Average Loss  0.620602, Time  0.234257
2021-09-15 20:50:10.786061 : Epoch  2, Batch    581, Loss  0.614455, Average Loss  0.620481, Time  0.236934
2021-09-15 20:50:12.287897 : Epoch  2, Batch    582, Loss  0.616436, Average Loss  0.620429, Time  0.234297
2021-09-15 20:50:13.781848 : Epoch  2, Batch    583, Loss  0.608873, Average Loss  0.620389, Time  0.234648
2021-09-15 20:50:17.565096 : Epoch  2, Batch    584, Loss  0.624761, Average Loss  0.620378, Time  0.262238
2021-09-15 20:50:19.068402 : Epoch  2, Batch    585, Loss  0.614515, Average Loss  0.620328, Time  0.237144
2021-09-15 20:50:20.571957 : Epoch  2, Batch    586, Loss  0.631231, Average Loss  0.620379, Time  0.234395
2021-09-15 20:50:22.072713 : Epoch  2, Batch    587, Loss  0.625077, Average Loss  0.620414, Time  0.234527
2021-09-15 20:50:23.578816 : Epoch  2, Batch    588, Loss  0.620146, Average Loss  0.620374, Time  0.234283
2021-09-15 20:50:25.084816 : Epoch  2, Batch    589, Loss  0.626009, Average Loss  0.620328, Time  0.237905
2021-09-15 20:50:26.596097 : Epoch  2, Batch    590, Loss  0.620620, Average Loss  0.620369, Time  0.235532
2021-09-15 20:50:28.094445 : Epoch  2, Batch    591, Loss  0.624792, Average Loss  0.620351, Time  0.234614
2021-09-15 20:50:29.602036 : Epoch  2, Batch    592, Loss  0.620812, Average Loss  0.620383, Time  0.234529
2021-09-15 20:50:31.106715 : Epoch  2, Batch    593, Loss  0.625154, Average Loss  0.620372, Time  0.234379
2021-09-15 20:50:32.638270 : Epoch  2, Batch    594, Loss  0.607488, Average Loss  0.620272, Time  0.234409
2021-09-15 20:50:34.141041 : Epoch  2, Batch    595, Loss  0.636133, Average Loss  0.620366, Time  0.234618
2021-09-15 20:50:35.652283 : Epoch  2, Batch    596, Loss  0.607986, Average Loss  0.620332, Time  0.234270
2021-09-15 20:50:37.159204 : Epoch  2, Batch    597, Loss  0.612759, Average Loss  0.620373, Time  0.234566
2021-09-15 20:50:38.663043 : Epoch  2, Batch    598, Loss  0.613607, Average Loss  0.620305, Time  0.234155
2021-09-15 20:50:40.177986 : Epoch  2, Batch    599, Loss  0.619285, Average Loss  0.620250, Time  0.234184
2021-09-15 20:50:41.684062 : Epoch  2, Batch    600, Loss  0.610317, Average Loss  0.620214, Time  0.234374
2021-09-15 20:50:43.189605 : Epoch  2, Batch    601, Loss  0.618526, Average Loss  0.620230, Time  0.237216
2021-09-15 20:50:44.700760 : Epoch  2, Batch    602, Loss  0.615544, Average Loss  0.620169, Time  0.234299
2021-09-15 20:50:46.208003 : Epoch  2, Batch    603, Loss  0.610301, Average Loss  0.620140, Time  0.234177
2021-09-15 20:50:47.725756 : Epoch  2, Batch    604, Loss  0.621624, Average Loss  0.620105, Time  0.235091
2021-09-15 20:50:49.229888 : Epoch  2, Batch    605, Loss  0.615897, Average Loss  0.620102, Time  0.234412
2021-09-15 20:50:50.739057 : Epoch  2, Batch    606, Loss  0.620315, Average Loss  0.620100, Time  0.234478
2021-09-15 20:50:52.253327 : Epoch  2, Batch    607, Loss  0.625557, Average Loss  0.620092, Time  0.234643
2021-09-15 20:50:53.757066 : Epoch  2, Batch    608, Loss  0.609897, Average Loss  0.620079, Time  0.234413
2021-09-15 20:50:55.269889 : Epoch  2, Batch    609, Loss  0.627438, Average Loss  0.620111, Time  0.234462
2021-09-15 20:50:56.804708 : Epoch  2, Batch    610, Loss  0.618558, Average Loss  0.620094, Time  0.234708
2021-09-15 20:50:58.313056 : Epoch  2, Batch    611, Loss  0.622460, Average Loss  0.620095, Time  0.234164
2021-09-15 20:50:59.812201 : Epoch  2, Batch    612, Loss  0.617213, Average Loss  0.620096, Time  0.234109
2021-09-15 20:51:01.317007 : Epoch  2, Batch    613, Loss  0.611142, Average Loss  0.620084, Time  0.236610
2021-09-15 20:51:51.513087 : CheckPoint: Validation Loss  0.00030177, Best Loss  0.00029628
2021-09-15 20:51:54.516040 : Epoch  2, Batch   1545, Loss  0.873415, Average Loss  0.872369, Time  0.267087
2021-09-15 20:51:57.496324 : Epoch  2, Batch   1546, Loss  0.859806, Average Loss  0.872367, Time  0.266795
2021-09-15 20:51:57.538693 : CheckPoint: Validation Loss  0.00025929, Best Loss  0.00025012
2021-09-15 20:51:59.045905 : Epoch  2, Batch    614, Loss  0.621387, Average Loss  0.620084, Time  0.234880
2021-09-15 20:52:00.482529 : Epoch  2, Batch   1547, Loss  0.885890, Average Loss  0.872449, Time  0.265591
2021-09-15 20:52:00.553150 : Epoch  2, Batch    615, Loss  0.610588, Average Loss  0.620048, Time  0.234240
2021-09-15 20:52:02.065755 : Epoch  2, Batch    616, Loss  0.620329, Average Loss  0.620058, Time  0.234338
2021-09-15 20:52:03.461941 : Epoch  2, Batch   1548, Loss  0.868851, Average Loss  0.872406, Time  0.265371
2021-09-15 20:52:03.582033 : Epoch  2, Batch    617, Loss  0.612256, Average Loss  0.620037, Time  0.237360
2021-09-15 20:52:05.084858 : Epoch  2, Batch    618, Loss  0.624265, Average Loss  0.620090, Time  0.234292
2021-09-15 20:52:06.436384 : Epoch  2, Batch   1549, Loss  0.852085, Average Loss  0.872283, Time  0.265784
2021-09-15 20:52:06.599093 : Epoch  2, Batch    619, Loss  0.623759, Average Loss  0.620077, Time  0.234659
2021-09-15 20:52:08.094736 : Epoch  2, Batch    620, Loss  0.608032, Average Loss  0.620035, Time  0.234508
2021-09-15 20:52:09.430485 : Epoch  2, Batch   1550, Loss  0.842724, Average Loss  0.872188, Time  0.265551
2021-09-15 20:52:09.597937 : Epoch  2, Batch    621, Loss  0.614626, Average Loss  0.619971, Time  0.234422
2021-09-15 20:52:11.106863 : Epoch  2, Batch    622, Loss  0.618104, Average Loss  0.619909, Time  0.234421
2021-09-15 20:52:12.417430 : Epoch  2, Batch   1551, Loss  0.864125, Average Loss  0.872159, Time  0.265496
2021-09-15 20:52:12.623047 : Epoch  2, Batch    623, Loss  0.619393, Average Loss  0.619895, Time  0.234876
2021-09-15 20:52:14.125793 : Epoch  2, Batch    624, Loss  0.620505, Average Loss  0.619922, Time  0.234320
2021-09-15 20:52:15.379306 : Epoch  2, Batch   1552, Loss  0.877079, Average Loss  0.872217, Time  0.265555
2021-09-15 20:52:15.640005 : Epoch  2, Batch    625, Loss  0.607955, Average Loss  0.619809, Time  0.234792
2021-09-15 20:52:17.139320 : Epoch  2, Batch    626, Loss  0.629070, Average Loss  0.619878, Time  0.235851
2021-09-15 20:52:18.355803 : Epoch  2, Batch   1553, Loss  0.864704, Average Loss  0.872200, Time  0.264642
2021-09-15 20:52:18.647786 : Epoch  2, Batch    627, Loss  0.616626, Average Loss  0.619942, Time  0.234389
2021-09-15 20:52:20.170730 : Epoch  2, Batch    628, Loss  0.627352, Average Loss  0.619996, Time  0.234374
2021-09-15 20:52:21.346235 : Epoch  2, Batch   1554, Loss  0.891484, Average Loss  0.872344, Time  0.265957
2021-09-15 20:52:21.682790 : Epoch  2, Batch    629, Loss  0.621773, Average Loss  0.619997, Time  0.234316
2021-09-15 20:52:23.186905 : Epoch  2, Batch    630, Loss  0.615053, Average Loss  0.619974, Time  0.234324
2021-09-15 20:52:24.362225 : Epoch  2, Batch   1555, Loss  0.881614, Average Loss  0.872399, Time  0.277239
2021-09-15 20:52:24.698018 : Epoch  2, Batch    631, Loss  0.606819, Average Loss  0.619919, Time  0.234912
2021-09-15 20:52:26.193183 : Epoch  2, Batch    632, Loss  0.614438, Average Loss  0.619885, Time  0.233972
2021-09-15 20:52:27.329522 : Epoch  2, Batch   1556, Loss  0.862803, Average Loss  0.872299, Time  0.265245
2021-09-15 20:52:27.716288 : Epoch  2, Batch    633, Loss  0.609767, Average Loss  0.619827, Time  0.234246
2021-09-15 20:52:29.220851 : Epoch  2, Batch    634, Loss  0.622659, Average Loss  0.619855, Time  0.234172
2021-09-15 20:52:30.319233 : Epoch  2, Batch   1557, Loss  0.863593, Average Loss  0.872290, Time  0.265379
2021-09-15 20:52:30.727827 : Epoch  2, Batch    635, Loss  0.616705, Average Loss  0.619834, Time  0.234164
2021-09-15 20:52:32.234873 : Epoch  2, Batch    636, Loss  0.615230, Average Loss  0.619729, Time  0.234883
2021-09-15 20:52:33.314189 : Epoch  2, Batch   1558, Loss  0.870572, Average Loss  0.872340, Time  0.265923
2021-09-15 20:52:33.742734 : Epoch  2, Batch    637, Loss  0.612362, Average Loss  0.619690, Time  0.235504
2021-09-15 20:52:35.240667 : Epoch  2, Batch    638, Loss  0.616020, Average Loss  0.619655, Time  0.234253
2021-09-15 20:52:36.317363 : Epoch  2, Batch   1559, Loss  0.853508, Average Loss  0.872270, Time  0.266200
2021-09-15 20:52:36.738073 : Epoch  2, Batch    639, Loss  0.616059, Average Loss  0.619579, Time  0.234965
2021-09-15 20:52:38.234051 : Epoch  2, Batch    640, Loss  0.619157, Average Loss  0.619562, Time  0.234570
2021-09-15 20:52:39.342002 : Epoch  2, Batch   1560, Loss  0.853421, Average Loss  0.872173, Time  0.266067
2021-09-15 20:52:39.735703 : Epoch  2, Batch    641, Loss  0.612179, Average Loss  0.619597, Time  0.234940
2021-09-15 20:52:41.233824 : Epoch  2, Batch    642, Loss  0.617323, Average Loss  0.619621, Time  0.234195
2021-09-15 20:52:42.327970 : Epoch  2, Batch   1561, Loss  0.873852, Average Loss  0.872203, Time  0.265007
2021-09-15 20:52:42.735011 : Epoch  2, Batch    643, Loss  0.617764, Average Loss  0.619632, Time  0.234281
2021-09-15 20:52:44.233908 : Epoch  2, Batch    644, Loss  0.624592, Average Loss  0.619598, Time  0.234595
2021-09-15 20:52:45.314301 : Epoch  2, Batch   1562, Loss  0.852664, Average Loss  0.872094, Time  0.265025
2021-09-15 20:52:45.745755 : Epoch  2, Batch    645, Loss  0.612859, Average Loss  0.619547, Time  0.235127
2021-09-15 20:52:47.232187 : Epoch  2, Batch    646, Loss  0.622966, Average Loss  0.619585, Time  0.234079
2021-09-15 20:52:48.308148 : Epoch  2, Batch   1563, Loss  0.882230, Average Loss  0.872198, Time  0.265744
2021-09-15 20:52:48.734724 : Epoch  2, Batch    647, Loss  0.627428, Average Loss  0.619667, Time  0.235323
2021-09-15 20:52:50.226644 : Epoch  2, Batch    648, Loss  0.622277, Average Loss  0.619660, Time  0.234752
2021-09-15 20:52:51.307455 : Epoch  2, Batch   1564, Loss  0.872130, Average Loss  0.872256, Time  0.265080
2021-09-15 20:52:51.723711 : Epoch  2, Batch    649, Loss  0.618937, Average Loss  0.619606, Time  0.234162
2021-09-15 20:52:53.229422 : Epoch  2, Batch    650, Loss  0.614640, Average Loss  0.619566, Time  0.234344
2021-09-15 20:52:54.307602 : Epoch  2, Batch   1565, Loss  0.880690, Average Loss  0.872268, Time  0.265683
2021-09-15 20:52:54.735741 : Epoch  2, Batch    651, Loss  0.617447, Average Loss  0.619531, Time  0.236205
2021-09-15 20:52:56.235008 : Epoch  2, Batch    652, Loss  0.621222, Average Loss  0.619538, Time  0.234668
2021-09-15 20:52:57.290947 : Epoch  2, Batch   1566, Loss  0.858077, Average Loss  0.872231, Time  0.266293
2021-09-15 20:52:57.740870 : Epoch  2, Batch    653, Loss  0.615151, Average Loss  0.619507, Time  0.234273
2021-09-15 20:52:59.236731 : Epoch  2, Batch    654, Loss  0.614674, Average Loss  0.619465, Time  0.234273
2021-09-15 20:53:00.297936 : Epoch  2, Batch   1567, Loss  0.905037, Average Loss  0.872470, Time  0.265374
2021-09-15 20:53:00.740057 : Epoch  2, Batch    655, Loss  0.611581, Average Loss  0.619366, Time  0.236369
2021-09-15 20:53:02.243791 : Epoch  2, Batch    656, Loss  0.623666, Average Loss  0.619329, Time  0.234478
2021-09-15 20:53:03.292871 : Epoch  2, Batch   1568, Loss  0.879199, Average Loss  0.872460, Time  0.267480
2021-09-15 20:53:03.746001 : Epoch  2, Batch    657, Loss  0.616437, Average Loss  0.619404, Time  0.234278
2021-09-15 20:53:05.243770 : Epoch  2, Batch    658, Loss  0.605674, Average Loss  0.619293, Time  0.234703
2021-09-15 20:53:06.285302 : Epoch  2, Batch   1569, Loss  0.886543, Average Loss  0.872494, Time  0.267219
2021-09-15 20:53:06.754471 : Epoch  2, Batch    659, Loss  0.620956, Average Loss  0.619266, Time  0.234330
2021-09-15 20:53:08.255910 : Epoch  2, Batch    660, Loss  0.618653, Average Loss  0.619262, Time  0.234331
2021-09-15 20:53:09.304623 : Epoch  2, Batch   1570, Loss  0.869243, Average Loss  0.872449, Time  0.277545
2021-09-15 20:53:09.768726 : Epoch  2, Batch    661, Loss  0.619183, Average Loss  0.619210, Time  0.234436
2021-09-15 20:53:11.275689 : Epoch  2, Batch    662, Loss  0.618098, Average Loss  0.619194, Time  0.234243
2021-09-15 20:53:12.289107 : Epoch  2, Batch   1571, Loss  0.880013, Average Loss  0.872454, Time  0.266430
2021-09-15 20:53:12.771045 : Epoch  2, Batch    663, Loss  0.613723, Average Loss  0.619126, Time  0.234120
2021-09-15 20:53:14.264139 : Epoch  2, Batch    664, Loss  0.611283, Average Loss  0.619089, Time  0.234473
2021-09-15 20:53:15.302360 : Epoch  2, Batch   1572, Loss  0.880464, Average Loss  0.872442, Time  0.266340
2021-09-15 20:53:15.762100 : Epoch  2, Batch    665, Loss  0.610045, Average Loss  0.619040, Time  0.234094
2021-09-15 20:53:17.256676 : Epoch  2, Batch    666, Loss  0.627134, Average Loss  0.619062, Time  0.234527
2021-09-15 20:53:18.307110 : Epoch  2, Batch   1573, Loss  0.862420, Average Loss  0.872358, Time  0.265418
2021-09-15 20:53:18.762714 : Epoch  2, Batch    667, Loss  0.619701, Average Loss  0.619035, Time  0.234427
2021-09-15 20:53:20.269899 : Epoch  2, Batch    668, Loss  0.625302, Average Loss  0.619087, Time  0.235276
2021-09-15 20:53:21.282900 : Epoch  2, Batch   1574, Loss  0.877442, Average Loss  0.872283, Time  0.266122
2021-09-15 20:53:21.780027 : Epoch  2, Batch    669, Loss  0.605576, Average Loss  0.618974, Time  0.234431
2021-09-15 20:53:23.295117 : Epoch  2, Batch    670, Loss  0.615105, Average Loss  0.618969, Time  0.234910
2021-09-15 20:53:24.239896 : Epoch  2, Batch   1575, Loss  0.864610, Average Loss  0.872261, Time  0.263983
2021-09-15 20:53:24.801266 : Epoch  2, Batch    671, Loss  0.621948, Average Loss  0.618986, Time  0.234279
2021-09-15 20:53:26.307890 : Epoch  2, Batch    672, Loss  0.616819, Average Loss  0.618931, Time  0.234893
2021-09-15 20:53:27.224218 : Epoch  2, Batch   1576, Loss  0.860338, Average Loss  0.872227, Time  0.265470
2021-09-15 20:53:27.818811 : Epoch  2, Batch    673, Loss  0.614697, Average Loss  0.618908, Time  0.234343
2021-09-15 20:53:29.334149 : Epoch  2, Batch    674, Loss  0.634475, Average Loss  0.619010, Time  0.234298
2021-09-15 20:53:30.229573 : Epoch  2, Batch   1577, Loss  0.877056, Average Loss  0.872319, Time  0.265767
2021-09-15 20:53:30.843862 : Epoch  2, Batch    675, Loss  0.619358, Average Loss  0.619000, Time  0.234897
2021-09-15 20:53:32.353182 : Epoch  2, Batch    676, Loss  0.599337, Average Loss  0.618829, Time  0.234426
2021-09-15 20:53:33.234390 : Epoch  2, Batch   1578, Loss  0.855014, Average Loss  0.872142, Time  0.265120
2021-09-15 20:53:33.886740 : Epoch  2, Batch    677, Loss  0.620100, Average Loss  0.618803, Time  0.234671
2021-09-15 20:53:35.401833 : Epoch  2, Batch    678, Loss  0.607301, Average Loss  0.618702, Time  0.234544
2021-09-15 20:53:36.232837 : Epoch  2, Batch   1579, Loss  0.873006, Average Loss  0.872030, Time  0.265793
2021-09-15 20:53:36.901074 : Epoch  2, Batch    679, Loss  0.621257, Average Loss  0.618703, Time  0.235099
2021-09-15 20:53:38.406877 : Epoch  2, Batch    680, Loss  0.616630, Average Loss  0.618671, Time  0.234341
2021-09-15 20:53:39.249558 : Epoch  2, Batch   1580, Loss  0.866139, Average Loss  0.871973, Time  0.265215
2021-09-15 20:53:39.931074 : Epoch  2, Batch    681, Loss  0.620530, Average Loss  0.618679, Time  0.234356
2021-09-15 20:53:41.438144 : Epoch  2, Batch    682, Loss  0.619774, Average Loss  0.618658, Time  0.234161
2021-09-15 20:53:42.231961 : Epoch  2, Batch   1581, Loss  0.859737, Average Loss  0.871886, Time  0.265913
2021-09-15 20:53:42.946307 : Epoch  2, Batch    683, Loss  0.610429, Average Loss  0.618600, Time  0.234340
2021-09-15 20:53:45.230009 : Epoch  2, Batch   1582, Loss  0.856039, Average Loss  0.871871, Time  0.264817
2021-09-15 20:53:46.740138 : Epoch  2, Batch    684, Loss  0.618178, Average Loss  0.618654, Time  0.264882
2021-09-15 20:53:48.216460 : Epoch  2, Batch   1583, Loss  0.876506, Average Loss  0.871959, Time  0.264183
2021-09-15 20:53:48.246230 : Epoch  2, Batch    685, Loss  0.618764, Average Loss  0.618648, Time  0.238471
2021-09-15 20:53:49.756727 : Epoch  2, Batch    686, Loss  0.622972, Average Loss  0.618648, Time  0.238272
2021-09-15 20:53:51.179707 : Epoch  2, Batch   1584, Loss  0.865584, Average Loss  0.871942, Time  0.266678
2021-09-15 20:53:51.254999 : Epoch  2, Batch    687, Loss  0.628036, Average Loss  0.618715, Time  0.234497
2021-09-15 20:53:52.757217 : Epoch  2, Batch    688, Loss  0.602973, Average Loss  0.618619, Time  0.234500
2021-09-15 20:53:54.171055 : Epoch  2, Batch   1585, Loss  0.895287, Average Loss  0.871978, Time  0.270896
2021-09-15 20:53:54.248808 : Epoch  2, Batch    689, Loss  0.613789, Average Loss  0.618590, Time  0.234454
2021-09-15 20:53:55.749861 : Epoch  2, Batch    690, Loss  0.623151, Average Loss  0.618645, Time  0.234655
2021-09-15 20:53:57.149281 : Epoch  2, Batch   1586, Loss  0.879618, Average Loss  0.871945, Time  0.266702
2021-09-15 20:53:57.287169 : Epoch  2, Batch    691, Loss  0.613004, Average Loss  0.618555, Time  0.234824
2021-09-15 20:53:58.782350 : Epoch  2, Batch    692, Loss  0.618328, Average Loss  0.618535, Time  0.234232
2021-09-15 20:54:00.123347 : Epoch  2, Batch   1587, Loss  0.878083, Average Loss  0.871964, Time  0.266162
2021-09-15 20:54:00.289144 : Epoch  2, Batch    693, Loss  0.615211, Average Loss  0.618471, Time  0.234428
2021-09-15 20:54:01.789803 : Epoch  2, Batch    694, Loss  0.614314, Average Loss  0.618418, Time  0.234179
2021-09-15 20:54:03.152839 : Epoch  2, Batch   1588, Loss  0.863603, Average Loss  0.871881, Time  0.266788
2021-09-15 20:54:03.285904 : Epoch  2, Batch    695, Loss  0.610194, Average Loss  0.618405, Time  0.234268
2021-09-15 20:54:04.785037 : Epoch  2, Batch    696, Loss  0.621326, Average Loss  0.618440, Time  0.234137
2021-09-15 20:54:06.132851 : Epoch  2, Batch   1589, Loss  0.854418, Average Loss  0.871640, Time  0.265913
2021-09-15 20:54:06.292901 : Epoch  2, Batch    697, Loss  0.616177, Average Loss  0.618419, Time  0.239998
2021-09-15 20:54:07.774791 : Epoch  2, Batch    698, Loss  0.606281, Average Loss  0.618311, Time  0.235465
2021-09-15 20:54:09.109545 : Epoch  2, Batch   1590, Loss  0.876806, Average Loss  0.871609, Time  0.265716
2021-09-15 20:54:09.286458 : Epoch  2, Batch    699, Loss  0.618623, Average Loss  0.618297, Time  0.234076
2021-09-15 20:54:10.771825 : Epoch  2, Batch    700, Loss  0.614150, Average Loss  0.618274, Time  0.234247
2021-09-15 20:54:12.113255 : Epoch  2, Batch   1591, Loss  0.865661, Average Loss  0.871535, Time  0.265739
2021-09-15 20:54:12.269865 : Epoch  2, Batch    701, Loss  0.617834, Average Loss  0.618279, Time  0.234376
2021-09-15 20:54:13.768193 : Epoch  2, Batch    702, Loss  0.604437, Average Loss  0.618187, Time  0.234666
2021-09-15 20:54:15.128998 : Epoch  2, Batch   1592, Loss  0.871321, Average Loss  0.871513, Time  0.265819
2021-09-15 20:54:15.267025 : Epoch  2, Batch    703, Loss  0.615358, Average Loss  0.618143, Time  0.234417
2021-09-15 20:54:16.761719 : Epoch  2, Batch    704, Loss  0.616949, Average Loss  0.618137, Time  0.234326
2021-09-15 20:54:18.140796 : Epoch  2, Batch   1593, Loss  0.871208, Average Loss  0.871561, Time  0.265935
2021-09-15 20:54:18.265832 : Epoch  2, Batch    705, Loss  0.617466, Average Loss  0.618212, Time  0.234753
2021-09-15 20:54:19.754254 : Epoch  2, Batch    706, Loss  0.620713, Average Loss  0.618226, Time  0.234297
2021-09-15 20:54:21.150790 : Epoch  2, Batch   1594, Loss  0.847761, Average Loss  0.871383, Time  0.264996
2021-09-15 20:54:21.253078 : Epoch  2, Batch    707, Loss  0.625579, Average Loss  0.618277, Time  0.234752
2021-09-15 20:54:22.746267 : Epoch  2, Batch    708, Loss  0.611459, Average Loss  0.618166, Time  0.235147
2021-09-15 20:54:24.138447 : Epoch  2, Batch   1595, Loss  0.859380, Average Loss  0.871275, Time  0.265303
2021-09-15 20:54:24.242258 : Epoch  2, Batch    709, Loss  0.620229, Average Loss  0.618178, Time  0.233956
2021-09-15 20:54:25.738956 : Epoch  2, Batch    710, Loss  0.615134, Average Loss  0.618159, Time  0.235033
2021-09-15 20:54:27.147055 : Epoch  2, Batch   1596, Loss  0.876321, Average Loss  0.871343, Time  0.265705
2021-09-15 20:54:27.244952 : Epoch  2, Batch    711, Loss  0.607825, Average Loss  0.618111, Time  0.234586
2021-09-15 20:54:28.739858 : Epoch  2, Batch    712, Loss  0.619708, Average Loss  0.618156, Time  0.234056
2021-09-15 20:54:30.142175 : Epoch  2, Batch   1597, Loss  0.867363, Average Loss  0.871465, Time  0.265827
2021-09-15 20:54:30.234083 : Epoch  2, Batch    713, Loss  0.615251, Average Loss  0.618120, Time  0.234432
2021-09-15 20:54:33.153172 : Epoch  2, Batch   1598, Loss  0.855503, Average Loss  0.871476, Time  0.264963
2021-09-15 20:54:36.170905 : Epoch  2, Batch   1599, Loss  0.874456, Average Loss  0.871388, Time  0.266110
2021-09-15 20:54:39.201931 : Epoch  2, Batch   1600, Loss  0.867275, Average Loss  0.871376, Time  0.276722
2021-09-15 20:54:42.185059 : Epoch  2, Batch   1601, Loss  0.872970, Average Loss  0.871362, Time  0.265937
2021-09-15 20:54:45.190738 : Epoch  2, Batch   1602, Loss  0.875807, Average Loss  0.871373, Time  0.264948
2021-09-15 20:54:48.157193 : Epoch  2, Batch   1603, Loss  0.865956, Average Loss  0.871319, Time  0.264896
2021-09-15 20:54:51.131124 : Epoch  2, Batch   1604, Loss  0.881310, Average Loss  0.871459, Time  0.266236
2021-09-15 20:54:54.111030 : Epoch  2, Batch   1605, Loss  0.854771, Average Loss  0.871308, Time  0.266530
2021-09-15 20:54:57.128276 : Epoch  2, Batch   1606, Loss  0.885098, Average Loss  0.871357, Time  0.267757
2021-09-15 20:55:00.126807 : Epoch  2, Batch   1607, Loss  0.877673, Average Loss  0.871415, Time  0.265265
2021-09-15 20:55:03.120565 : Epoch  2, Batch   1608, Loss  0.872572, Average Loss  0.871492, Time  0.265484
2021-09-15 20:55:06.105014 : Epoch  2, Batch   1609, Loss  0.880634, Average Loss  0.871659, Time  0.267001
2021-09-15 20:55:09.093980 : Epoch  2, Batch   1610, Loss  0.875613, Average Loss  0.871690, Time  0.265990
2021-09-15 20:55:12.120852 : Epoch  2, Batch   1611, Loss  0.878847, Average Loss  0.871771, Time  0.264949
2021-09-15 20:55:15.106024 : Epoch  2, Batch   1612, Loss  0.892268, Average Loss  0.871778, Time  0.264980
2021-09-15 20:55:18.099324 : Epoch  2, Batch   1613, Loss  0.874555, Average Loss  0.871752, Time  0.265241
2021-09-15 20:55:21.079140 : Epoch  2, Batch   1614, Loss  0.876051, Average Loss  0.871785, Time  0.265452
2021-09-15 20:55:24.074840 : Epoch  2, Batch   1615, Loss  0.845744, Average Loss  0.871655, Time  0.272900
2021-09-15 20:55:26.220705 : CheckPoint: Validation Loss  0.00026142, Best Loss  0.00025012
2021-09-15 20:55:27.055578 : Epoch  2, Batch   1616, Loss  0.900256, Average Loss  0.871813, Time  0.265264
2021-09-15 20:55:27.769156 : Epoch  2, Batch    714, Loss  0.611544, Average Loss  0.618075, Time  0.271778
2021-09-15 20:55:29.313001 : Epoch  2, Batch    715, Loss  0.616891, Average Loss  0.618048, Time  0.250942
2021-09-15 20:55:30.034527 : Epoch  2, Batch   1617, Loss  0.891131, Average Loss  0.871900, Time  0.265758
2021-09-15 20:55:30.825995 : Epoch  2, Batch    716, Loss  0.611246, Average Loss  0.617994, Time  0.238589
2021-09-15 20:55:32.330929 : Epoch  2, Batch    717, Loss  0.622226, Average Loss  0.618034, Time  0.235136
2021-09-15 20:55:33.053271 : Epoch  2, Batch   1618, Loss  0.876173, Average Loss  0.871918, Time  0.266086
2021-09-15 20:55:33.832533 : Epoch  2, Batch    718, Loss  0.620242, Average Loss  0.618116, Time  0.234084
2021-09-15 20:55:35.346725 : Epoch  2, Batch    719, Loss  0.615789, Average Loss  0.618128, Time  0.234730
2021-09-15 20:55:36.059687 : Epoch  2, Batch   1619, Loss  0.864468, Average Loss  0.871846, Time  0.265092
2021-09-15 20:55:36.846142 : Epoch  2, Batch    720, Loss  0.614038, Average Loss  0.618147, Time  0.234098
2021-09-15 20:55:38.353716 : Epoch  2, Batch    721, Loss  0.609676, Average Loss  0.618041, Time  0.234602
2021-09-15 20:55:39.055636 : Epoch  2, Batch   1620, Loss  0.869145, Average Loss  0.871790, Time  0.265561
2021-09-15 20:55:39.886846 : Epoch  2, Batch    722, Loss  0.629663, Average Loss  0.618084, Time  0.234410
2021-09-15 20:55:41.404041 : Epoch  2, Batch    723, Loss  0.610581, Average Loss  0.618052, Time  0.234694
2021-09-15 20:55:42.069027 : Epoch  2, Batch   1621, Loss  0.882856, Average Loss  0.871871, Time  0.265867
2021-09-15 20:55:42.903273 : Epoch  2, Batch    724, Loss  0.614541, Average Loss  0.618043, Time  0.234234
2021-09-15 20:55:44.413017 : Epoch  2, Batch    725, Loss  0.625431, Average Loss  0.618050, Time  0.234864
2021-09-15 20:55:45.061446 : Epoch  2, Batch   1622, Loss  0.880828, Average Loss  0.871987, Time  0.265973
2021-09-15 20:55:45.916052 : Epoch  2, Batch    726, Loss  0.625293, Average Loss  0.618128, Time  0.234545
2021-09-15 20:55:47.416901 : Epoch  2, Batch    727, Loss  0.620974, Average Loss  0.618128, Time  0.234535
2021-09-15 20:55:48.087791 : Epoch  2, Batch   1623, Loss  0.865821, Average Loss  0.871940, Time  0.266294
2021-09-15 20:55:48.919263 : Epoch  2, Batch    728, Loss  0.609461, Average Loss  0.618043, Time  0.234836
2021-09-15 20:55:50.420762 : Epoch  2, Batch    729, Loss  0.622820, Average Loss  0.618050, Time  0.234615
2021-09-15 20:55:51.086327 : Epoch  2, Batch   1624, Loss  0.880690, Average Loss  0.872067, Time  0.266004
2021-09-15 20:55:51.929070 : Epoch  2, Batch    730, Loss  0.617589, Average Loss  0.618070, Time  0.234182
2021-09-15 20:55:53.445785 : Epoch  2, Batch    731, Loss  0.614651, Average Loss  0.618097, Time  0.236315
2021-09-15 20:55:54.100078 : Epoch  2, Batch   1625, Loss  0.869354, Average Loss  0.871989, Time  0.264735
2021-09-15 20:55:54.947595 : Epoch  2, Batch    732, Loss  0.604397, Average Loss  0.618023, Time  0.235528
2021-09-15 20:55:56.458101 : Epoch  2, Batch    733, Loss  0.611798, Average Loss  0.618024, Time  0.234845
2021-09-15 20:55:57.120239 : Epoch  2, Batch   1626, Loss  0.870539, Average Loss  0.872036, Time  0.266725
2021-09-15 20:55:57.962034 : Epoch  2, Batch    734, Loss  0.616547, Average Loss  0.617988, Time  0.234197
2021-09-15 20:55:59.467736 : Epoch  2, Batch    735, Loss  0.614114, Average Loss  0.617942, Time  0.234211
2021-09-15 20:56:00.138174 : Epoch  2, Batch   1627, Loss  0.855601, Average Loss  0.871846, Time  0.267242
2021-09-15 20:56:00.991989 : Epoch  2, Batch    736, Loss  0.623481, Average Loss  0.617895, Time  0.258375
2021-09-15 20:56:02.500740 : Epoch  2, Batch    737, Loss  0.621453, Average Loss  0.617929, Time  0.234327
2021-09-15 20:56:03.172650 : Epoch  2, Batch   1628, Loss  0.866786, Average Loss  0.871754, Time  0.266281
2021-09-15 20:56:04.028991 : Epoch  2, Batch    738, Loss  0.621607, Average Loss  0.617903, Time  0.234661
2021-09-15 20:56:05.529018 : Epoch  2, Batch    739, Loss  0.617845, Average Loss  0.617915, Time  0.234896
2021-09-15 20:56:06.155687 : Epoch  2, Batch   1629, Loss  0.881668, Average Loss  0.871786, Time  0.266180
2021-09-15 20:56:07.028362 : Epoch  2, Batch    740, Loss  0.606749, Average Loss  0.617825, Time  0.234217
2021-09-15 20:56:08.522959 : Epoch  2, Batch    741, Loss  0.613994, Average Loss  0.617733, Time  0.234041
2021-09-15 20:56:09.182119 : Epoch  2, Batch   1630, Loss  0.879675, Average Loss  0.871801, Time  0.274270
2021-09-15 20:56:10.026799 : Epoch  2, Batch    742, Loss  0.627416, Average Loss  0.617764, Time  0.234587
2021-09-15 20:56:11.549015 : Epoch  2, Batch    743, Loss  0.622312, Average Loss  0.617770, Time  0.234358
2021-09-15 20:56:12.190038 : Epoch  2, Batch   1631, Loss  0.879995, Average Loss  0.871879, Time  0.267236
2021-09-15 20:56:13.046824 : Epoch  2, Batch    744, Loss  0.612353, Average Loss  0.617756, Time  0.234518
2021-09-15 20:56:14.549011 : Epoch  2, Batch    745, Loss  0.624842, Average Loss  0.617787, Time  0.234218
2021-09-15 20:56:15.157729 : Epoch  2, Batch   1632, Loss  0.890409, Average Loss  0.871869, Time  0.265023
2021-09-15 20:56:16.140072 : Epoch  2, Batch    746, Loss  0.623647, Average Loss  0.617814, Time  0.234316
2021-09-15 20:56:17.644596 : Epoch  2, Batch    747, Loss  0.617997, Average Loss  0.617776, Time  0.234336
2021-09-15 20:56:18.149138 : Epoch  2, Batch   1633, Loss  0.867245, Average Loss  0.871957, Time  0.266149
2021-09-15 20:56:19.158709 : Epoch  2, Batch    748, Loss  0.623181, Average Loss  0.617793, Time  0.234680
2021-09-15 20:56:20.649339 : Epoch  2, Batch    749, Loss  0.602933, Average Loss  0.617719, Time  0.234142
2021-09-15 20:56:21.129252 : Epoch  2, Batch   1634, Loss  0.867430, Average Loss  0.871925, Time  0.265441
2021-09-15 20:56:22.158081 : Epoch  2, Batch    750, Loss  0.618145, Average Loss  0.617690, Time  0.235592
2021-09-15 20:56:23.660074 : Epoch  2, Batch    751, Loss  0.622928, Average Loss  0.617695, Time  0.235082
2021-09-15 20:56:24.105024 : Epoch  2, Batch   1635, Loss  0.882795, Average Loss  0.871985, Time  0.265181
2021-09-15 20:56:25.158814 : Epoch  2, Batch    752, Loss  0.622321, Average Loss  0.617723, Time  0.234493
2021-09-15 20:56:26.663047 : Epoch  2, Batch    753, Loss  0.626212, Average Loss  0.617763, Time  0.234245
2021-09-15 20:56:27.073571 : Epoch  2, Batch   1636, Loss  0.855845, Average Loss  0.871966, Time  0.265813
2021-09-15 20:56:28.169118 : Epoch  2, Batch    754, Loss  0.609125, Average Loss  0.617734, Time  0.235224
2021-09-15 20:56:29.674894 : Epoch  2, Batch    755, Loss  0.608235, Average Loss  0.617639, Time  0.234693
2021-09-15 20:56:30.046449 : Epoch  2, Batch   1637, Loss  0.867556, Average Loss  0.872016, Time  0.265218
2021-09-15 20:56:31.175717 : Epoch  2, Batch    756, Loss  0.610171, Average Loss  0.617631, Time  0.234426
2021-09-15 20:56:32.683226 : Epoch  2, Batch    757, Loss  0.623881, Average Loss  0.617650, Time  0.234273
2021-09-15 20:56:33.024633 : Epoch  2, Batch   1638, Loss  0.858172, Average Loss  0.871896, Time  0.265128
2021-09-15 20:56:34.188736 : Epoch  2, Batch    758, Loss  0.604175, Average Loss  0.617582, Time  0.239065
2021-09-15 20:56:35.693782 : Epoch  2, Batch    759, Loss  0.624269, Average Loss  0.617519, Time  0.234265
2021-09-15 20:56:35.989996 : Epoch  2, Batch   1639, Loss  0.865902, Average Loss  0.871998, Time  0.265897
2021-09-15 20:56:37.191003 : Epoch  2, Batch    760, Loss  0.615809, Average Loss  0.617505, Time  0.234105
2021-09-15 20:56:38.693995 : Epoch  2, Batch    761, Loss  0.613364, Average Loss  0.617514, Time  0.234100
2021-09-15 20:56:38.979964 : Epoch  2, Batch   1640, Loss  0.877679, Average Loss  0.872038, Time  0.265997
2021-09-15 20:56:40.208064 : Epoch  2, Batch    762, Loss  0.630091, Average Loss  0.617528, Time  0.234497
2021-09-15 20:56:41.716023 : Epoch  2, Batch    763, Loss  0.618281, Average Loss  0.617488, Time  0.234194
2021-09-15 20:56:41.968073 : Epoch  2, Batch   1641, Loss  0.869025, Average Loss  0.871970, Time  0.265954
2021-09-15 20:56:43.220860 : Epoch  2, Batch    764, Loss  0.623303, Average Loss  0.617496, Time  0.235324
2021-09-15 20:56:44.732952 : Epoch  2, Batch    765, Loss  0.602912, Average Loss  0.617373, Time  0.234233
2021-09-15 20:56:44.965009 : Epoch  2, Batch   1642, Loss  0.883316, Average Loss  0.871964, Time  0.265948
2021-09-15 20:56:46.233807 : Epoch  2, Batch    766, Loss  0.617049, Average Loss  0.617371, Time  0.234157
2021-09-15 20:56:47.738915 : Epoch  2, Batch    767, Loss  0.615860, Average Loss  0.617322, Time  0.234715
2021-09-15 20:56:47.971997 : Epoch  2, Batch   1643, Loss  0.877820, Average Loss  0.871952, Time  0.265278
2021-09-15 20:56:49.239751 : Epoch  2, Batch    768, Loss  0.622728, Average Loss  0.617300, Time  0.234434
2021-09-15 20:56:50.740726 : Epoch  2, Batch    769, Loss  0.609738, Average Loss  0.617280, Time  0.234317
2021-09-15 20:56:50.950419 : Epoch  2, Batch   1644, Loss  0.862917, Average Loss  0.871894, Time  0.265290
2021-09-15 20:56:52.253838 : Epoch  2, Batch    770, Loss  0.607374, Average Loss  0.617247, Time  0.234922
2021-09-15 20:56:53.760147 : Epoch  2, Batch    771, Loss  0.614125, Average Loss  0.617205, Time  0.234331
2021-09-15 20:56:55.263122 : Epoch  2, Batch    772, Loss  0.603210, Average Loss  0.617084, Time  0.235118
2021-09-15 20:56:56.780067 : Epoch  2, Batch    773, Loss  0.601882, Average Loss  0.617001, Time  0.234245
2021-09-15 20:56:58.288971 : Epoch  2, Batch    774, Loss  0.621413, Average Loss  0.617076, Time  0.236154
2021-09-15 20:56:59.794060 : Epoch  2, Batch    775, Loss  0.611307, Average Loss  0.617059, Time  0.235129
2021-09-15 20:57:01.304722 : Epoch  2, Batch    776, Loss  0.618218, Average Loss  0.617043, Time  0.234092
2021-09-15 20:57:02.808770 : Epoch  2, Batch    777, Loss  0.611325, Average Loss  0.617024, Time  0.234654
2021-09-15 20:57:04.313708 : Epoch  2, Batch    778, Loss  0.632090, Average Loss  0.617113, Time  0.234817
2021-09-15 20:57:05.825113 : Epoch  2, Batch    779, Loss  0.616729, Average Loss  0.617060, Time  0.235098
2021-09-15 20:57:07.337017 : Epoch  2, Batch    780, Loss  0.619366, Average Loss  0.617089, Time  0.234052
2021-09-15 20:57:08.841043 : Epoch  2, Batch    781, Loss  0.614711, Average Loss  0.617090, Time  0.234362
2021-09-15 20:57:10.337219 : Epoch  2, Batch    782, Loss  0.610548, Average Loss  0.617061, Time  0.234526
2021-09-15 20:57:11.844839 : Epoch  2, Batch    783, Loss  0.620911, Average Loss  0.617121, Time  0.234472
2021-09-15 20:57:15.654074 : Epoch  2, Batch    784, Loss  0.611941, Average Loss  0.617057, Time  0.265790
2021-09-15 20:57:17.164246 : Epoch  2, Batch    785, Loss  0.619589, Average Loss  0.617082, Time  0.238443
2021-09-15 20:57:18.668956 : Epoch  2, Batch    786, Loss  0.615899, Average Loss  0.617006, Time  0.233976
2021-09-15 20:57:20.185798 : Epoch  2, Batch    787, Loss  0.608371, Average Loss  0.616922, Time  0.234367
2021-09-15 20:57:20.220273 : Saving Model after 2-th Epoch.
2021-09-15 20:57:21.103618 : Epoch Finished.
2021-09-15 20:57:23.138581 : Batch Shuffled
2021-09-15 20:57:24.653835 : Epoch  3, Batch      1, Loss  0.609747, Average Loss  0.616870, Time  0.234053
2021-09-15 20:57:26.154845 : Epoch  3, Batch      2, Loss  0.615194, Average Loss  0.616816, Time  0.234259
2021-09-15 20:57:27.658968 : Epoch  3, Batch      3, Loss  0.610503, Average Loss  0.616766, Time  0.234252
2021-09-15 20:57:29.162093 : Epoch  3, Batch      4, Loss  0.600963, Average Loss  0.616646, Time  0.234753
2021-09-15 20:57:30.661743 : Epoch  3, Batch      5, Loss  0.606882, Average Loss  0.616577, Time  0.234483
2021-09-15 20:57:32.152867 : Epoch  3, Batch      6, Loss  0.625966, Average Loss  0.616581, Time  0.234313
2021-09-15 20:57:33.655839 : Epoch  3, Batch      7, Loss  0.616326, Average Loss  0.616625, Time  0.234201
2021-09-15 20:57:35.162250 : Epoch  3, Batch      8, Loss  0.617152, Average Loss  0.616530, Time  0.234763
2021-09-15 20:57:36.668064 : Epoch  3, Batch      9, Loss  0.617596, Average Loss  0.616578, Time  0.234395
2021-09-15 20:57:38.172377 : Epoch  3, Batch     10, Loss  0.619117, Average Loss  0.616610, Time  0.235126
2021-09-15 20:57:39.676809 : Epoch  3, Batch     11, Loss  0.624923, Average Loss  0.616667, Time  0.234787
2021-09-15 20:57:41.181017 : Epoch  3, Batch     12, Loss  0.617474, Average Loss  0.616657, Time  0.234194
2021-09-15 20:57:42.683897 : Epoch  3, Batch     13, Loss  0.624266, Average Loss  0.616727, Time  0.236024
2021-09-15 20:57:44.210116 : Epoch  3, Batch     14, Loss  0.612249, Average Loss  0.616696, Time  0.234497
2021-09-15 20:57:45.714726 : Epoch  3, Batch     15, Loss  0.617279, Average Loss  0.616704, Time  0.234642
2021-09-15 20:57:47.222761 : Epoch  3, Batch     16, Loss  0.615251, Average Loss  0.616729, Time  0.234373
2021-09-15 20:57:48.726257 : Epoch  3, Batch     17, Loss  0.617781, Average Loss  0.616710, Time  0.234731
2021-09-15 20:57:50.230835 : Epoch  3, Batch     18, Loss  0.627066, Average Loss  0.616766, Time  0.234307
2021-09-15 20:57:51.735652 : Epoch  3, Batch     19, Loss  0.615357, Average Loss  0.616741, Time  0.237921
2021-09-15 20:57:53.229893 : Epoch  3, Batch     20, Loss  0.626940, Average Loss  0.616748, Time  0.234838
2021-09-15 20:57:54.735896 : Epoch  3, Batch     21, Loss  0.615222, Average Loss  0.616775, Time  0.234561
2021-09-15 20:57:56.237990 : Epoch  3, Batch     22, Loss  0.609883, Average Loss  0.616687, Time  0.234745
2021-09-15 20:57:57.745806 : Epoch  3, Batch     23, Loss  0.604931, Average Loss  0.616619, Time  0.235094
2021-09-15 20:57:59.243147 : Epoch  3, Batch     24, Loss  0.612290, Average Loss  0.616568, Time  0.234152
2021-09-15 20:58:00.756784 : Epoch  3, Batch     25, Loss  0.622996, Average Loss  0.616597, Time  0.235391
2021-09-15 20:58:02.270195 : Epoch  3, Batch     26, Loss  0.625389, Average Loss  0.616668, Time  0.234192
2021-09-15 20:58:58.397694 : CheckPoint: Validation Loss  0.00026181, Best Loss  0.00025012
2021-09-15 20:58:59.906788 : Epoch  3, Batch     27, Loss  0.616141, Average Loss  0.616642, Time  0.235724
2021-09-15 20:59:01.409776 : Epoch  3, Batch     28, Loss  0.616180, Average Loss  0.616670, Time  0.234607
2021-09-15 20:59:02.911839 : Epoch  3, Batch     29, Loss  0.622741, Average Loss  0.616682, Time  0.234320
2021-09-15 20:59:04.412047 : Epoch  3, Batch     30, Loss  0.615308, Average Loss  0.616697, Time  0.234282
2021-09-15 20:59:05.922710 : Epoch  3, Batch     31, Loss  0.618495, Average Loss  0.616668, Time  0.234226
2021-09-15 20:59:07.420765 : Epoch  3, Batch     32, Loss  0.619597, Average Loss  0.616647, Time  0.234902
2021-09-15 20:59:08.923798 : Epoch  3, Batch     33, Loss  0.607396, Average Loss  0.616644, Time  0.235869
2021-09-15 20:59:10.424915 : Epoch  3, Batch     34, Loss  0.614950, Average Loss  0.616646, Time  0.234212
2021-09-15 20:59:11.920157 : Epoch  3, Batch     35, Loss  0.609407, Average Loss  0.616602, Time  0.234111
2021-09-15 20:59:13.418806 : Epoch  3, Batch     36, Loss  0.610740, Average Loss  0.616559, Time  0.234619
2021-09-15 20:59:14.924043 : Epoch  3, Batch     37, Loss  0.620636, Average Loss  0.616560, Time  0.235278
2021-09-15 20:59:16.425025 : Epoch  3, Batch     38, Loss  0.613578, Average Loss  0.616588, Time  0.234288
2021-09-15 20:59:17.920764 : Epoch  3, Batch     39, Loss  0.621541, Average Loss  0.616550, Time  0.234472
2021-09-15 20:59:19.420780 : Epoch  3, Batch     40, Loss  0.625496, Average Loss  0.616595, Time  0.234549
2021-09-15 20:59:20.915867 : Epoch  3, Batch     41, Loss  0.616856, Average Loss  0.616542, Time  0.234220
2021-09-15 20:59:22.417863 : Epoch  3, Batch     42, Loss  0.628315, Average Loss  0.616575, Time  0.234545
2021-09-15 20:59:23.931790 : Epoch  3, Batch     43, Loss  0.613779, Average Loss  0.616568, Time  0.234993
2021-09-15 20:59:25.454006 : Epoch  3, Batch     44, Loss  0.604067, Average Loss  0.616555, Time  0.234713
2021-09-15 20:59:26.952034 : Epoch  3, Batch     45, Loss  0.604564, Average Loss  0.616505, Time  0.234481
2021-09-15 20:59:28.471258 : Epoch  3, Batch     46, Loss  0.616782, Average Loss  0.616540, Time  0.234599
2021-09-15 20:59:29.973138 : Epoch  3, Batch     47, Loss  0.615485, Average Loss  0.616504, Time  0.235583
2021-09-15 20:59:31.481493 : Epoch  3, Batch     48, Loss  0.616098, Average Loss  0.616501, Time  0.234322
2021-09-15 20:59:32.984009 : Epoch  3, Batch     49, Loss  0.624354, Average Loss  0.616547, Time  0.234565
2021-09-15 20:59:34.488110 : Epoch  3, Batch     50, Loss  0.611602, Average Loss  0.616543, Time  0.234417
2021-09-15 20:59:36.012810 : Epoch  3, Batch     51, Loss  0.614229, Average Loss  0.616534, Time  0.234220
2021-09-15 20:59:37.509846 : Epoch  3, Batch     52, Loss  0.615748, Average Loss  0.616533, Time  0.234257
2021-09-15 20:59:39.008175 : Epoch  3, Batch     53, Loss  0.608109, Average Loss  0.616478, Time  0.234394
2021-09-15 20:59:40.518055 : Epoch  3, Batch     54, Loss  0.607988, Average Loss  0.616457, Time  0.234392
2021-09-15 20:59:42.022692 : Epoch  3, Batch     55, Loss  0.618213, Average Loss  0.616461, Time  0.235163
2021-09-15 20:59:43.524929 : Epoch  3, Batch     56, Loss  0.620877, Average Loss  0.616477, Time  0.234289
2021-09-15 20:59:45.036028 : Epoch  3, Batch     57, Loss  0.614850, Average Loss  0.616428, Time  0.234406
2021-09-15 20:59:46.540799 : Epoch  3, Batch     58, Loss  0.616200, Average Loss  0.616445, Time  0.234186
2021-09-15 20:59:48.049018 : Epoch  3, Batch     59, Loss  0.624648, Average Loss  0.616453, Time  0.234289
2021-09-15 20:59:49.560566 : Epoch  3, Batch     60, Loss  0.611890, Average Loss  0.616375, Time  0.235999
2021-09-15 20:59:51.067779 : Epoch  3, Batch     61, Loss  0.613791, Average Loss  0.616333, Time  0.234362
2021-09-15 20:59:52.567029 : Epoch  3, Batch     62, Loss  0.615924, Average Loss  0.616318, Time  0.234597
2021-09-15 20:59:54.065772 : Epoch  3, Batch     63, Loss  0.614642, Average Loss  0.616318, Time  0.234150
2021-09-15 20:59:55.558325 : Epoch  3, Batch     64, Loss  0.621946, Average Loss  0.616340, Time  0.234195
2021-09-15 20:59:57.061062 : Epoch  3, Batch     65, Loss  0.606563, Average Loss  0.616267, Time  0.234424
2021-09-15 20:59:58.562161 : Epoch  3, Batch     66, Loss  0.618658, Average Loss  0.616285, Time  0.234191
2021-09-15 21:00:00.057111 : Epoch  3, Batch     67, Loss  0.612803, Average Loss  0.616275, Time  0.234076
2021-09-15 21:00:01.565019 : Epoch  3, Batch     68, Loss  0.612467, Average Loss  0.616280, Time  0.234348
2021-09-15 21:00:03.082051 : Epoch  3, Batch     69, Loss  0.625662, Average Loss  0.616290, Time  0.234965
2021-09-15 21:00:04.585709 : Epoch  3, Batch     70, Loss  0.616165, Average Loss  0.616288, Time  0.233964
2021-09-15 21:00:06.107016 : Epoch  3, Batch     71, Loss  0.612389, Average Loss  0.616322, Time  0.233770
2021-09-15 21:00:07.602874 : Epoch  3, Batch     72, Loss  0.611894, Average Loss  0.616276, Time  0.234218
2021-09-15 21:00:09.098740 : Epoch  3, Batch     73, Loss  0.616275, Average Loss  0.616265, Time  0.234187
2021-09-15 21:00:10.599880 : Epoch  3, Batch     74, Loss  0.624407, Average Loss  0.616291, Time  0.234404
2021-09-15 21:00:12.101834 : Epoch  3, Batch     75, Loss  0.627086, Average Loss  0.616336, Time  0.234205
2021-09-15 21:00:13.605216 : Epoch  3, Batch     76, Loss  0.606754, Average Loss  0.616301, Time  0.234310
2021-09-15 21:00:15.106011 : Epoch  3, Batch     77, Loss  0.607706, Average Loss  0.616283, Time  0.234112
2021-09-15 21:00:16.615903 : Epoch  3, Batch     78, Loss  0.620134, Average Loss  0.616333, Time  0.234416
2021-09-15 21:00:18.149104 : Epoch  3, Batch     79, Loss  0.604165, Average Loss  0.616219, Time  0.234463
2021-09-15 21:00:19.655041 : Epoch  3, Batch     80, Loss  0.610099, Average Loss  0.616171, Time  0.234674
2021-09-15 21:00:21.159363 : Epoch  3, Batch     81, Loss  0.615470, Average Loss  0.616121, Time  0.234541
2021-09-15 21:00:22.665031 : Epoch  3, Batch     82, Loss  0.611044, Average Loss  0.616149, Time  0.234680
2021-09-15 21:00:24.183910 : Epoch  3, Batch     83, Loss  0.615683, Average Loss  0.616152, Time  0.240784
2021-09-15 21:00:25.685135 : Epoch  3, Batch     84, Loss  0.611175, Average Loss  0.616098, Time  0.234343
2021-09-15 21:00:27.193104 : Epoch  3, Batch     85, Loss  0.620207, Average Loss  0.616115, Time  0.234358
2021-09-15 21:00:28.694070 : Epoch  3, Batch     86, Loss  0.616776, Average Loss  0.616125, Time  0.234584
2021-09-15 21:00:30.193095 : Epoch  3, Batch     87, Loss  0.617130, Average Loss  0.616038, Time  0.234468
2021-09-15 21:00:31.691496 : Epoch  3, Batch     88, Loss  0.627345, Average Loss  0.616078, Time  0.234470
2021-09-15 21:00:33.191570 : Epoch  3, Batch     89, Loss  0.623173, Average Loss  0.616197, Time  0.234348
2021-09-15 21:00:34.717893 : Epoch  3, Batch     90, Loss  0.619781, Average Loss  0.616196, Time  0.234210
2021-09-15 21:00:36.229860 : Epoch  3, Batch     91, Loss  0.623580, Average Loss  0.616277, Time  0.234287
2021-09-15 21:00:37.732970 : Epoch  3, Batch     92, Loss  0.607973, Average Loss  0.616211, Time  0.234383
2021-09-15 21:00:39.240827 : Epoch  3, Batch     93, Loss  0.617859, Average Loss  0.616217, Time  0.234406
2021-09-15 21:00:40.741874 : Epoch  3, Batch     94, Loss  0.610511, Average Loss  0.616167, Time  0.234277
2021-09-15 21:00:42.244840 : Epoch  3, Batch     95, Loss  0.613935, Average Loss  0.616138, Time  0.234173
2021-09-15 21:00:43.752326 : Epoch  3, Batch     96, Loss  0.616851, Average Loss  0.616170, Time  0.235025
2021-09-15 21:00:47.596244 : Epoch  3, Batch     97, Loss  0.610569, Average Loss  0.616132, Time  0.266545
2021-09-15 21:00:49.095162 : Epoch  3, Batch     98, Loss  0.613633, Average Loss  0.616106, Time  0.238186
2021-09-15 21:00:50.592767 : Epoch  3, Batch     99, Loss  0.617047, Average Loss  0.616076, Time  0.234164
2021-09-15 21:00:52.108068 : Epoch  3, Batch    100, Loss  0.626866, Average Loss  0.616071, Time  0.234477
2021-09-15 21:00:53.602314 : Epoch  3, Batch    101, Loss  0.605433, Average Loss  0.616083, Time  0.234071
2021-09-15 21:00:55.100048 : Epoch  3, Batch    102, Loss  0.624394, Average Loss  0.616136, Time  0.234218
2021-09-15 21:00:56.607737 : Epoch  3, Batch    103, Loss  0.615392, Average Loss  0.616097, Time  0.235303
2021-09-15 21:00:58.111062 : Epoch  3, Batch    104, Loss  0.621882, Average Loss  0.616142, Time  0.234548
2021-09-15 21:00:59.613208 : Epoch  3, Batch    105, Loss  0.609712, Average Loss  0.616098, Time  0.234324
2021-09-15 21:01:01.114369 : Epoch  3, Batch    106, Loss  0.619860, Average Loss  0.616122, Time  0.235709
2021-09-15 21:01:02.611788 : Epoch  3, Batch    107, Loss  0.619661, Average Loss  0.616148, Time  0.235023
2021-09-15 21:01:04.114086 : Epoch  3, Batch    108, Loss  0.611435, Average Loss  0.616155, Time  0.234770
2021-09-15 21:01:05.612141 : Epoch  3, Batch    109, Loss  0.617276, Average Loss  0.616134, Time  0.234391
2021-09-15 21:01:07.106362 : Epoch  3, Batch    110, Loss  0.612665, Average Loss  0.616117, Time  0.234146
2021-09-15 21:01:08.654041 : Epoch  3, Batch    111, Loss  0.620639, Average Loss  0.616189, Time  0.234213
2021-09-15 21:01:10.156034 : Epoch  3, Batch    112, Loss  0.611321, Average Loss  0.616152, Time  0.235182
2021-09-15 21:01:11.657993 : Epoch  3, Batch    113, Loss  0.610836, Average Loss  0.616136, Time  0.237318
2021-09-15 21:01:13.169024 : Epoch  3, Batch    114, Loss  0.626183, Average Loss  0.616177, Time  0.234567
2021-09-15 21:01:14.696002 : Epoch  3, Batch    115, Loss  0.617694, Average Loss  0.616244, Time  0.234031
2021-09-15 21:01:16.198045 : Epoch  3, Batch    116, Loss  0.615799, Average Loss  0.616246, Time  0.234946
2021-09-15 21:01:17.718248 : Epoch  3, Batch    117, Loss  0.620637, Average Loss  0.616264, Time  0.234541
2021-09-15 21:01:19.225367 : Epoch  3, Batch    118, Loss  0.611963, Average Loss  0.616237, Time  0.234307
2021-09-15 21:01:20.754158 : Epoch  3, Batch    119, Loss  0.610678, Average Loss  0.616187, Time  0.235035
2021-09-15 21:01:22.260875 : Epoch  3, Batch    120, Loss  0.616016, Average Loss  0.616139, Time  0.234181
2021-09-15 21:01:23.758866 : Epoch  3, Batch    121, Loss  0.616674, Average Loss  0.616165, Time  0.234253
2021-09-15 21:01:25.270985 : Epoch  3, Batch    122, Loss  0.626449, Average Loss  0.616196, Time  0.234228
2021-09-15 21:01:26.780313 : Epoch  3, Batch    123, Loss  0.631127, Average Loss  0.616276, Time  0.234953
2021-09-15 21:01:28.297084 : Epoch  3, Batch    124, Loss  0.609040, Average Loss  0.616282, Time  0.234117
2021-09-15 21:01:29.838778 : Epoch  3, Batch    125, Loss  0.614637, Average Loss  0.616257, Time  0.235185
2021-09-15 21:01:31.352054 : Epoch  3, Batch    126, Loss  0.614992, Average Loss  0.616255, Time  0.233984
2021-09-15 21:01:31.832912 : CheckPoint: Validation Loss  0.00029457, Best Loss  0.00029457
2021-09-15 21:01:31.861308 : Best Model Updated
2021-09-15 21:01:35.679731 : Epoch  2, Batch   1645, Loss  0.887768, Average Loss  0.872079, Time  0.278071
2021-09-15 21:01:38.671362 : Epoch  2, Batch   1646, Loss  0.874026, Average Loss  0.872122, Time  0.266401
2021-09-15 21:01:41.654039 : Epoch  2, Batch   1647, Loss  0.880689, Average Loss  0.872193, Time  0.265904
2021-09-15 21:01:44.635936 : Epoch  2, Batch   1648, Loss  0.869340, Average Loss  0.872127, Time  0.265313
2021-09-15 21:01:47.627566 : Epoch  2, Batch   1649, Loss  0.890756, Average Loss  0.872200, Time  0.265217
2021-09-15 21:01:50.599133 : Epoch  2, Batch   1650, Loss  0.862095, Average Loss  0.872143, Time  0.264754
2021-09-15 21:01:53.585078 : Epoch  2, Batch   1651, Loss  0.869581, Average Loss  0.872208, Time  0.264814
2021-09-15 21:01:56.552436 : Epoch  2, Batch   1652, Loss  0.871196, Average Loss  0.872267, Time  0.265642
2021-09-15 21:01:59.533664 : Epoch  2, Batch   1653, Loss  0.848868, Average Loss  0.872135, Time  0.265683
2021-09-15 21:02:02.541663 : Epoch  2, Batch   1654, Loss  0.854113, Average Loss  0.872026, Time  0.267248
2021-09-15 21:02:05.541066 : Epoch  2, Batch   1655, Loss  0.854684, Average Loss  0.871943, Time  0.265241
2021-09-15 21:02:08.524424 : Epoch  2, Batch   1656, Loss  0.862743, Average Loss  0.871935, Time  0.266060
2021-09-15 21:02:11.491788 : Epoch  2, Batch   1657, Loss  0.869864, Average Loss  0.871877, Time  0.264904
2021-09-15 21:02:14.460570 : Epoch  2, Batch   1658, Loss  0.873696, Average Loss  0.871868, Time  0.264982
2021-09-15 21:02:17.416733 : Epoch  2, Batch   1659, Loss  0.887844, Average Loss  0.871957, Time  0.265669
2021-09-15 21:02:20.391842 : Epoch  2, Batch   1660, Loss  0.863198, Average Loss  0.871889, Time  0.280083
2021-09-15 21:02:23.370766 : Epoch  2, Batch   1661, Loss  0.878648, Average Loss  0.872017, Time  0.266389
2021-09-15 21:02:26.353574 : Epoch  2, Batch   1662, Loss  0.869301, Average Loss  0.872091, Time  0.265742
2021-09-15 21:02:27.464688 : CheckPoint: Validation Loss  0.00025465, Best Loss  0.00025012
2021-09-15 21:02:28.981704 : Epoch  3, Batch    127, Loss  0.623565, Average Loss  0.616315, Time  0.234605
2021-09-15 21:02:29.331197 : Epoch  2, Batch   1663, Loss  0.868749, Average Loss  0.872108, Time  0.266744
2021-09-15 21:02:30.480022 : Epoch  3, Batch    128, Loss  0.627867, Average Loss  0.616370, Time  0.234109
2021-09-15 21:02:31.989974 : Epoch  3, Batch    129, Loss  0.613781, Average Loss  0.616383, Time  0.234855
2021-09-15 21:02:32.334078 : Epoch  2, Batch   1664, Loss  0.865364, Average Loss  0.872130, Time  0.265861
2021-09-15 21:02:33.494808 : Epoch  3, Batch    130, Loss  0.606695, Average Loss  0.616305, Time  0.234465
2021-09-15 21:02:35.011196 : Epoch  3, Batch    131, Loss  0.618718, Average Loss  0.616298, Time  0.234562
2021-09-15 21:02:35.315108 : Epoch  2, Batch   1665, Loss  0.869593, Average Loss  0.872154, Time  0.265758
2021-09-15 21:02:36.517810 : Epoch  3, Batch    132, Loss  0.622652, Average Loss  0.616332, Time  0.235352
2021-09-15 21:02:38.026119 : Epoch  3, Batch    133, Loss  0.618861, Average Loss  0.616356, Time  0.234297
2021-09-15 21:02:38.306016 : Epoch  2, Batch   1666, Loss  0.865022, Average Loss  0.872056, Time  0.266608
2021-09-15 21:02:39.526072 : Epoch  3, Batch    134, Loss  0.614197, Average Loss  0.616379, Time  0.234381
2021-09-15 21:02:41.026702 : Epoch  3, Batch    135, Loss  0.630842, Average Loss  0.616385, Time  0.234234
2021-09-15 21:02:41.277487 : Epoch  2, Batch   1667, Loss  0.873242, Average Loss  0.872005, Time  0.264407
2021-09-15 21:02:42.535735 : Epoch  3, Batch    136, Loss  0.608732, Average Loss  0.616375, Time  0.234375
2021-09-15 21:02:44.041013 : Epoch  3, Batch    137, Loss  0.616383, Average Loss  0.616385, Time  0.234136
2021-09-15 21:02:44.267492 : Epoch  2, Batch   1668, Loss  0.872796, Average Loss  0.872054, Time  0.265023
2021-09-15 21:02:45.551329 : Epoch  3, Batch    138, Loss  0.609197, Average Loss  0.616303, Time  0.235380
2021-09-15 21:02:47.052764 : Epoch  3, Batch    139, Loss  0.609873, Average Loss  0.616226, Time  0.234484
2021-09-15 21:02:47.262393 : Epoch  2, Batch   1669, Loss  0.884570, Average Loss  0.872155, Time  0.266089
2021-09-15 21:02:48.554810 : Epoch  3, Batch    140, Loss  0.613348, Average Loss  0.616188, Time  0.234446
2021-09-15 21:02:50.056453 : Epoch  3, Batch    141, Loss  0.616614, Average Loss  0.616224, Time  0.234248
2021-09-15 21:02:50.255677 : Epoch  2, Batch   1670, Loss  0.873688, Average Loss  0.872223, Time  0.265882
2021-09-15 21:02:51.559056 : Epoch  3, Batch    142, Loss  0.612320, Average Loss  0.616171, Time  0.234620
2021-09-15 21:02:53.066002 : Epoch  3, Batch    143, Loss  0.616938, Average Loss  0.616168, Time  0.234609
2021-09-15 21:02:53.235846 : Epoch  2, Batch   1671, Loss  0.864292, Average Loss  0.872273, Time  0.265998
2021-09-15 21:02:54.563265 : Epoch  3, Batch    144, Loss  0.605855, Average Loss  0.616124, Time  0.234591
2021-09-15 21:02:56.071097 : Epoch  3, Batch    145, Loss  0.613471, Average Loss  0.616170, Time  0.235134
2021-09-15 21:02:56.212769 : Epoch  2, Batch   1672, Loss  0.876809, Average Loss  0.872297, Time  0.266224
2021-09-15 21:02:57.574956 : Epoch  3, Batch    146, Loss  0.612480, Average Loss  0.616173, Time  0.235173
2021-09-15 21:02:59.100729 : Epoch  3, Batch    147, Loss  0.606811, Average Loss  0.616124, Time  0.234020
2021-09-15 21:02:59.184855 : Epoch  2, Batch   1673, Loss  0.863101, Average Loss  0.872216, Time  0.266054
2021-09-15 21:03:00.605163 : Epoch  3, Batch    148, Loss  0.613814, Average Loss  0.616123, Time  0.236878
2021-09-15 21:03:02.114778 : Epoch  3, Batch    149, Loss  0.610985, Average Loss  0.616060, Time  0.234339
2021-09-15 21:03:02.190924 : Epoch  2, Batch   1674, Loss  0.881048, Average Loss  0.872299, Time  0.265989
2021-09-15 21:03:03.625722 : Epoch  3, Batch    150, Loss  0.614799, Average Loss  0.616027, Time  0.235773
2021-09-15 21:03:05.129806 : Epoch  3, Batch    151, Loss  0.618378, Average Loss  0.616011, Time  0.234756
2021-09-15 21:03:05.209645 : Epoch  2, Batch   1675, Loss  0.887280, Average Loss  0.872358, Time  0.279061
2021-09-15 21:03:06.624990 : Epoch  3, Batch    152, Loss  0.619071, Average Loss  0.616017, Time  0.233911
2021-09-15 21:03:08.136535 : Epoch  3, Batch    153, Loss  0.613614, Average Loss  0.616051, Time  0.234530
2021-09-15 21:03:08.182399 : Epoch  2, Batch   1676, Loss  0.855412, Average Loss  0.872330, Time  0.265428
2021-09-15 21:03:09.642767 : Epoch  3, Batch    154, Loss  0.613708, Average Loss  0.616050, Time  0.234439
2021-09-15 21:03:11.122148 : Epoch  2, Batch   1677, Loss  0.901858, Average Loss  0.872482, Time  0.265328
2021-09-15 21:03:11.148732 : Epoch  3, Batch    155, Loss  0.613060, Average Loss  0.615978, Time  0.235275
2021-09-15 21:03:12.643716 : Epoch  3, Batch    156, Loss  0.611449, Average Loss  0.615924, Time  0.239567
2021-09-15 21:03:14.082083 : Epoch  2, Batch   1678, Loss  0.872699, Average Loss  0.872458, Time  0.265924
2021-09-15 21:03:14.152705 : Epoch  3, Batch    157, Loss  0.621631, Average Loss  0.615970, Time  0.234375
2021-09-15 21:03:15.639737 : Epoch  3, Batch    158, Loss  0.616804, Average Loss  0.615930, Time  0.234355
2021-09-15 21:03:17.050179 : Epoch  2, Batch   1679, Loss  0.865268, Average Loss  0.872395, Time  0.265674
2021-09-15 21:03:17.138947 : Epoch  3, Batch    159, Loss  0.614294, Average Loss  0.615883, Time  0.234385
2021-09-15 21:03:18.636649 : Epoch  3, Batch    160, Loss  0.612222, Average Loss  0.615854, Time  0.235968
2021-09-15 21:03:20.057863 : Epoch  2, Batch   1680, Loss  0.886343, Average Loss  0.872568, Time  0.266785
2021-09-15 21:03:20.141788 : Epoch  3, Batch    161, Loss  0.615789, Average Loss  0.615817, Time  0.234162
2021-09-15 21:03:21.636359 : Epoch  3, Batch    162, Loss  0.615808, Average Loss  0.615882, Time  0.234260
2021-09-15 21:03:23.074808 : Epoch  2, Batch   1681, Loss  0.881449, Average Loss  0.872687, Time  0.265778
2021-09-15 21:03:23.144738 : Epoch  3, Batch    163, Loss  0.615182, Average Loss  0.615867, Time  0.234242
2021-09-15 21:03:24.635771 : Epoch  3, Batch    164, Loss  0.614226, Average Loss  0.615823, Time  0.234068
2021-09-15 21:03:26.068069 : Epoch  2, Batch   1682, Loss  0.869896, Average Loss  0.872637, Time  0.265103
2021-09-15 21:03:26.139266 : Epoch  3, Batch    165, Loss  0.607390, Average Loss  0.615749, Time  0.235912
2021-09-15 21:03:27.622713 : Epoch  3, Batch    166, Loss  0.623494, Average Loss  0.615735, Time  0.234725
2021-09-15 21:03:29.055728 : Epoch  2, Batch   1683, Loss  0.902522, Average Loss  0.872770, Time  0.266047
2021-09-15 21:03:29.122134 : Epoch  3, Batch    167, Loss  0.606696, Average Loss  0.615723, Time  0.234317
2021-09-15 21:03:30.612709 : Epoch  3, Batch    168, Loss  0.618493, Average Loss  0.615774, Time  0.234539
2021-09-15 21:03:32.018442 : Epoch  2, Batch   1684, Loss  0.861491, Average Loss  0.872625, Time  0.266814
2021-09-15 21:03:32.119730 : Epoch  3, Batch    169, Loss  0.618399, Average Loss  0.615816, Time  0.234306
2021-09-15 21:03:33.610452 : Epoch  3, Batch    170, Loss  0.617689, Average Loss  0.615785, Time  0.234303
2021-09-15 21:03:35.018687 : Epoch  2, Batch   1685, Loss  0.885963, Average Loss  0.872638, Time  0.265847
2021-09-15 21:03:35.115771 : Epoch  3, Batch    171, Loss  0.605671, Average Loss  0.615792, Time  0.234357
2021-09-15 21:03:36.613767 : Epoch  3, Batch    172, Loss  0.613688, Average Loss  0.615739, Time  0.234345
2021-09-15 21:03:38.032606 : Epoch  2, Batch   1686, Loss  0.876627, Average Loss  0.872607, Time  0.266105
2021-09-15 21:03:38.116665 : Epoch  3, Batch    173, Loss  0.615263, Average Loss  0.615736, Time  0.234185
2021-09-15 21:03:39.684037 : Epoch  3, Batch    174, Loss  0.614275, Average Loss  0.615741, Time  0.234549
2021-09-15 21:03:41.022249 : Epoch  2, Batch   1687, Loss  0.869371, Average Loss  0.872554, Time  0.265429
2021-09-15 21:03:41.189864 : Epoch  3, Batch    175, Loss  0.613920, Average Loss  0.615660, Time  0.234674
2021-09-15 21:03:42.675023 : Epoch  3, Batch    176, Loss  0.611085, Average Loss  0.615624, Time  0.234219
2021-09-15 21:03:44.000049 : Epoch  2, Batch   1688, Loss  0.879763, Average Loss  0.872544, Time  0.265641
2021-09-15 21:03:44.178978 : Epoch  3, Batch    177, Loss  0.610638, Average Loss  0.615561, Time  0.234891
2021-09-15 21:03:45.674629 : Epoch  3, Batch    178, Loss  0.604623, Average Loss  0.615569, Time  0.235044
2021-09-15 21:03:46.999249 : Epoch  2, Batch   1689, Loss  0.873158, Average Loss  0.872502, Time  0.265677
2021-09-15 21:03:47.186107 : Epoch  3, Batch    179, Loss  0.612473, Average Loss  0.615546, Time  0.234454
2021-09-15 21:03:48.677049 : Epoch  3, Batch    180, Loss  0.603760, Average Loss  0.615486, Time  0.234272
2021-09-15 21:03:50.003484 : Epoch  2, Batch   1690, Loss  0.877679, Average Loss  0.872533, Time  0.265339
2021-09-15 21:03:50.179243 : Epoch  3, Batch    181, Loss  0.611911, Average Loss  0.615432, Time  0.234205
2021-09-15 21:03:51.670047 : Epoch  3, Batch    182, Loss  0.607747, Average Loss  0.615422, Time  0.234428
2021-09-15 21:03:52.986293 : Epoch  2, Batch   1691, Loss  0.861320, Average Loss  0.872456, Time  0.279385
2021-09-15 21:03:53.180014 : Epoch  3, Batch    183, Loss  0.613287, Average Loss  0.615452, Time  0.235507
2021-09-15 21:03:54.667715 : Epoch  3, Batch    184, Loss  0.608988, Average Loss  0.615426, Time  0.235520
2021-09-15 21:03:55.988856 : Epoch  2, Batch   1692, Loss  0.892946, Average Loss  0.872575, Time  0.266605
2021-09-15 21:03:56.175325 : Epoch  3, Batch    185, Loss  0.605651, Average Loss  0.615438, Time  0.234788
2021-09-15 21:03:57.673132 : Epoch  3, Batch    186, Loss  0.623225, Average Loss  0.615545, Time  0.234383
2021-09-15 21:03:59.015376 : Epoch  2, Batch   1693, Loss  0.869856, Average Loss  0.872588, Time  0.265203
2021-09-15 21:03:59.185013 : Epoch  3, Batch    187, Loss  0.620150, Average Loss  0.615538, Time  0.234115
2021-09-15 21:04:00.688007 : Epoch  3, Batch    188, Loss  0.615616, Average Loss  0.615560, Time  0.234408
2021-09-15 21:04:01.984373 : Epoch  2, Batch   1694, Loss  0.869485, Average Loss  0.872582, Time  0.264852
2021-09-15 21:04:02.192471 : Epoch  3, Batch    189, Loss  0.608772, Average Loss  0.615513, Time  0.233929
2021-09-15 21:04:03.678074 : Epoch  3, Batch    190, Loss  0.619646, Average Loss  0.615554, Time  0.234750
2021-09-15 21:04:04.973795 : Epoch  2, Batch   1695, Loss  0.855548, Average Loss  0.872480, Time  0.265788
2021-09-15 21:04:05.186281 : Epoch  3, Batch    191, Loss  0.611063, Average Loss  0.615449, Time  0.235252
2021-09-15 21:04:06.673747 : Epoch  3, Batch    192, Loss  0.607728, Average Loss  0.615404, Time  0.234606
2021-09-15 21:04:07.963231 : Epoch  2, Batch   1696, Loss  0.880072, Average Loss  0.872470, Time  0.266079
2021-09-15 21:04:08.177023 : Epoch  3, Batch    193, Loss  0.601093, Average Loss  0.615313, Time  0.236940
2021-09-15 21:04:09.694748 : Epoch  3, Batch    194, Loss  0.619285, Average Loss  0.615336, Time  0.234375
2021-09-15 21:04:10.945187 : Epoch  2, Batch   1697, Loss  0.876525, Average Loss  0.872460, Time  0.264969
2021-09-15 21:04:11.199588 : Epoch  3, Batch    195, Loss  0.602667, Average Loss  0.615296, Time  0.234842
2021-09-15 21:04:12.719741 : Epoch  3, Batch    196, Loss  0.622600, Average Loss  0.615305, Time  0.234616
2021-09-15 21:04:13.926032 : Epoch  2, Batch   1698, Loss  0.887658, Average Loss  0.872508, Time  0.265096
2021-09-15 21:04:16.539788 : Epoch  3, Batch    197, Loss  0.619779, Average Loss  0.615344, Time  0.251700
2021-09-15 21:04:16.899360 : Epoch  2, Batch   1699, Loss  0.874804, Average Loss  0.872555, Time  0.265333
2021-09-15 21:04:18.051029 : Epoch  3, Batch    198, Loss  0.603049, Average Loss  0.615261, Time  0.236724
2021-09-15 21:04:19.552056 : Epoch  3, Batch    199, Loss  0.619758, Average Loss  0.615281, Time  0.235182
2021-09-15 21:04:19.856124 : Epoch  2, Batch   1700, Loss  0.897350, Average Loss  0.872668, Time  0.266256
2021-09-15 21:04:21.077262 : Epoch  3, Batch    200, Loss  0.613762, Average Loss  0.615307, Time  0.234872
2021-09-15 21:04:22.576116 : Epoch  3, Batch    201, Loss  0.613952, Average Loss  0.615329, Time  0.234822
2021-09-15 21:04:22.827447 : Epoch  2, Batch   1701, Loss  0.863573, Average Loss  0.872643, Time  0.266766
2021-09-15 21:04:24.085051 : Epoch  3, Batch    202, Loss  0.621207, Average Loss  0.615359, Time  0.234203
2021-09-15 21:04:25.593907 : Epoch  3, Batch    203, Loss  0.604714, Average Loss  0.615330, Time  0.234943
2021-09-15 21:04:25.813090 : Epoch  2, Batch   1702, Loss  0.874178, Average Loss  0.872677, Time  0.265181
2021-09-15 21:04:27.100998 : Epoch  3, Batch    204, Loss  0.609125, Average Loss  0.615370, Time  0.234180
2021-09-15 21:04:28.606347 : Epoch  3, Batch    205, Loss  0.601885, Average Loss  0.615345, Time  0.234520
2021-09-15 21:04:28.828461 : Epoch  2, Batch   1703, Loss  0.849736, Average Loss  0.872479, Time  0.267491
2021-09-15 21:04:30.114988 : Epoch  3, Batch    206, Loss  0.615225, Average Loss  0.615292, Time  0.234341
2021-09-15 21:04:31.634046 : Epoch  3, Batch    207, Loss  0.608561, Average Loss  0.615253, Time  0.234025
2021-09-15 21:04:31.791252 : Epoch  2, Batch   1704, Loss  0.887960, Average Loss  0.872507, Time  0.266345
2021-09-15 21:04:33.135861 : Epoch  3, Batch    208, Loss  0.616083, Average Loss  0.615248, Time  0.235638
2021-09-15 21:04:34.638230 : Epoch  3, Batch    209, Loss  0.611739, Average Loss  0.615218, Time  0.234052
2021-09-15 21:04:34.787988 : Epoch  2, Batch   1705, Loss  0.871410, Average Loss  0.872510, Time  0.265559
2021-09-15 21:04:36.156002 : Epoch  3, Batch    210, Loss  0.609622, Average Loss  0.615171, Time  0.235101
2021-09-15 21:04:37.687041 : Epoch  3, Batch    211, Loss  0.628829, Average Loss  0.615190, Time  0.235598
2021-09-15 21:04:37.775249 : Epoch  2, Batch   1706, Loss  0.872216, Average Loss  0.872488, Time  0.280625
2021-09-15 21:04:39.188090 : Epoch  3, Batch    212, Loss  0.622949, Average Loss  0.615218, Time  0.234469
2021-09-15 21:04:40.698024 : Epoch  3, Batch    213, Loss  0.612368, Average Loss  0.615158, Time  0.234766
2021-09-15 21:04:40.763913 : Epoch  2, Batch   1707, Loss  0.847631, Average Loss  0.872375, Time  0.265903
2021-09-15 21:04:42.195721 : Epoch  3, Batch    214, Loss  0.622023, Average Loss  0.615207, Time  0.234494
2021-09-15 21:04:43.706719 : Epoch  3, Batch    215, Loss  0.627477, Average Loss  0.615258, Time  0.234713
2021-09-15 21:04:43.752468 : Epoch  2, Batch   1708, Loss  0.881615, Average Loss  0.872375, Time  0.265146
2021-09-15 21:04:45.205712 : Epoch  3, Batch    216, Loss  0.611248, Average Loss  0.615238, Time  0.234625
2021-09-15 21:04:46.708070 : Epoch  3, Batch    217, Loss  0.613917, Average Loss  0.615219, Time  0.234223
2021-09-15 21:04:46.725969 : Epoch  2, Batch   1709, Loss  0.863637, Average Loss  0.872374, Time  0.265558
2021-09-15 21:04:48.211024 : Epoch  3, Batch    218, Loss  0.607780, Average Loss  0.615122, Time  0.234437
2021-09-15 21:04:49.714012 : Epoch  3, Batch    219, Loss  0.619210, Average Loss  0.615142, Time  0.239316
2021-09-15 21:04:49.755276 : Epoch  2, Batch   1710, Loss  0.878262, Average Loss  0.872400, Time  0.265019
2021-09-15 21:04:51.222389 : Epoch  3, Batch    220, Loss  0.611374, Average Loss  0.615064, Time  0.234596
2021-09-15 21:04:52.725854 : Epoch  3, Batch    221, Loss  0.617634, Average Loss  0.615076, Time  0.234080
2021-09-15 21:04:52.733765 : Epoch  2, Batch   1711, Loss  0.880266, Average Loss  0.872462, Time  0.264671
2021-09-15 21:04:54.222017 : Epoch  3, Batch    222, Loss  0.601633, Average Loss  0.615035, Time  0.233845
2021-09-15 21:04:55.738339 : Epoch  3, Batch    223, Loss  0.607521, Average Loss  0.615048, Time  0.234593
2021-09-15 21:04:55.764239 : Epoch  2, Batch   1712, Loss  0.879116, Average Loss  0.872398, Time  0.265860
2021-09-15 21:04:57.250013 : Epoch  3, Batch    224, Loss  0.612673, Average Loss  0.615049, Time  0.234748
2021-09-15 21:04:58.753704 : Epoch  3, Batch    225, Loss  0.608412, Average Loss  0.614977, Time  0.234508
2021-09-15 21:04:58.804678 : Epoch  2, Batch   1713, Loss  0.857727, Average Loss  0.872472, Time  0.266511
2021-09-15 21:05:00.261224 : Epoch  3, Batch    226, Loss  0.614507, Average Loss  0.614922, Time  0.234065
2021-09-15 21:05:01.826828 : Epoch  2, Batch   1714, Loss  0.854108, Average Loss  0.872495, Time  0.267270
2021-09-15 21:05:04.823279 : Epoch  2, Batch   1715, Loss  0.877709, Average Loss  0.872504, Time  0.265015
2021-09-15 21:05:07.820084 : Epoch  2, Batch   1716, Loss  0.837650, Average Loss  0.872254, Time  0.265542
2021-09-15 21:05:10.836229 : Epoch  2, Batch   1717, Loss  0.878686, Average Loss  0.872255, Time  0.266228
2021-09-15 21:05:13.836733 : Epoch  2, Batch   1718, Loss  0.880652, Average Loss  0.872299, Time  0.265653
2021-09-15 21:05:16.852416 : Epoch  2, Batch   1719, Loss  0.861606, Average Loss  0.872269, Time  0.265700
2021-09-15 21:05:19.859128 : Epoch  2, Batch   1720, Loss  0.861250, Average Loss  0.872278, Time  0.266019
2021-09-15 21:05:22.864324 : Epoch  2, Batch   1721, Loss  0.881965, Average Loss  0.872346, Time  0.273268
2021-09-15 21:05:25.840990 : Epoch  2, Batch   1722, Loss  0.872045, Average Loss  0.872259, Time  0.266241
2021-09-15 21:05:28.848307 : Epoch  2, Batch   1723, Loss  0.883257, Average Loss  0.872267, Time  0.265702
2021-09-15 21:05:31.820092 : Epoch  2, Batch   1724, Loss  0.874972, Average Loss  0.872298, Time  0.266114
2021-09-15 21:05:34.800380 : Epoch  2, Batch   1725, Loss  0.875490, Average Loss  0.872246, Time  0.267249
2021-09-15 21:05:37.814069 : Epoch  2, Batch   1726, Loss  0.847810, Average Loss  0.872063, Time  0.266051
2021-09-15 21:05:40.791802 : Epoch  2, Batch   1727, Loss  0.890975, Average Loss  0.872156, Time  0.265801
2021-09-15 21:05:43.771425 : Epoch  2, Batch   1728, Loss  0.856871, Average Loss  0.872059, Time  0.265949
2021-09-15 21:05:46.743088 : Epoch  2, Batch   1729, Loss  0.860111, Average Loss  0.872036, Time  0.265169
2021-09-15 21:05:49.722622 : Epoch  2, Batch   1730, Loss  0.877577, Average Loss  0.871992, Time  0.265681
2021-09-15 21:05:52.705864 : Epoch  2, Batch   1731, Loss  0.856458, Average Loss  0.871969, Time  0.265436
2021-09-15 21:05:55.706701 : Epoch  2, Batch   1732, Loss  0.864944, Average Loss  0.872019, Time  0.264818
2021-09-15 21:05:56.548690 : CheckPoint: Validation Loss  0.00025606, Best Loss  0.00025012
2021-09-15 21:05:58.070138 : Epoch  3, Batch    227, Loss  0.608064, Average Loss  0.614882, Time  0.234917
2021-09-15 21:05:58.682489 : Epoch  2, Batch   1733, Loss  0.872094, Average Loss  0.872030, Time  0.265342
2021-09-15 21:05:59.571494 : Epoch  3, Batch    228, Loss  0.613443, Average Loss  0.614868, Time  0.234557
2021-09-15 21:06:01.078343 : Epoch  3, Batch    229, Loss  0.609043, Average Loss  0.614800, Time  0.236255
2021-09-15 21:06:01.655176 : Epoch  2, Batch   1734, Loss  0.896378, Average Loss  0.872139, Time  0.264423
2021-09-15 21:06:02.576342 : Epoch  3, Batch    230, Loss  0.612867, Average Loss  0.614787, Time  0.235281
2021-09-15 21:06:04.082908 : Epoch  3, Batch    231, Loss  0.610461, Average Loss  0.614747, Time  0.234446
2021-09-15 21:06:04.638077 : Epoch  2, Batch   1735, Loss  0.888143, Average Loss  0.872182, Time  0.264655
2021-09-15 21:06:05.597109 : Epoch  3, Batch    232, Loss  0.616986, Average Loss  0.614734, Time  0.235047
2021-09-15 21:06:07.099014 : Epoch  3, Batch    233, Loss  0.619514, Average Loss  0.614795, Time  0.234614
2021-09-15 21:06:07.639132 : Epoch  2, Batch   1736, Loss  0.860125, Average Loss  0.872004, Time  0.275490
2021-09-15 21:06:08.612710 : Epoch  3, Batch    234, Loss  0.607512, Average Loss  0.614758, Time  0.234603
2021-09-15 21:06:10.120082 : Epoch  3, Batch    235, Loss  0.597559, Average Loss  0.614698, Time  0.235406
2021-09-15 21:06:10.632201 : Epoch  2, Batch   1737, Loss  0.890619, Average Loss  0.872044, Time  0.265109
2021-09-15 21:06:11.629948 : Epoch  3, Batch    236, Loss  0.610046, Average Loss  0.614695, Time  0.234583
2021-09-15 21:06:13.130066 : Epoch  3, Batch    237, Loss  0.611811, Average Loss  0.614651, Time  0.234297
2021-09-15 21:06:13.596415 : Epoch  2, Batch   1738, Loss  0.874635, Average Loss  0.871889, Time  0.265478
2021-09-15 21:06:14.638815 : Epoch  3, Batch    238, Loss  0.613853, Average Loss  0.614652, Time  0.234332
2021-09-15 21:06:16.145196 : Epoch  3, Batch    239, Loss  0.612902, Average Loss  0.614609, Time  0.234283
2021-09-15 21:06:16.568246 : Epoch  2, Batch   1739, Loss  0.864051, Average Loss  0.871875, Time  0.265236
2021-09-15 21:06:17.649895 : Epoch  3, Batch    240, Loss  0.623852, Average Loss  0.614601, Time  0.234853
2021-09-15 21:06:19.157789 : Epoch  3, Batch    241, Loss  0.624562, Average Loss  0.614639, Time  0.234172
2021-09-15 21:06:19.579904 : Epoch  2, Batch   1740, Loss  0.883997, Average Loss  0.871858, Time  0.265580
2021-09-15 21:06:20.671010 : Epoch  3, Batch    242, Loss  0.606987, Average Loss  0.614533, Time  0.234528
2021-09-15 21:06:22.203129 : Epoch  3, Batch    243, Loss  0.618607, Average Loss  0.614557, Time  0.234275
2021-09-15 21:06:22.557314 : Epoch  2, Batch   1741, Loss  0.877289, Average Loss  0.871957, Time  0.264706
2021-09-15 21:06:23.716066 : Epoch  3, Batch    244, Loss  0.616107, Average Loss  0.614617, Time  0.234348
2021-09-15 21:06:25.217003 : Epoch  3, Batch    245, Loss  0.611753, Average Loss  0.614653, Time  0.233769
2021-09-15 21:06:25.539046 : Epoch  2, Batch   1742, Loss  0.861662, Average Loss  0.871881, Time  0.265934
2021-09-15 21:06:26.716098 : Epoch  3, Batch    246, Loss  0.608447, Average Loss  0.614611, Time  0.234649
2021-09-15 21:06:28.217767 : Epoch  3, Batch    247, Loss  0.621170, Average Loss  0.614640, Time  0.233984
2021-09-15 21:06:28.553003 : Epoch  2, Batch   1743, Loss  0.868305, Average Loss  0.871901, Time  0.266877
2021-09-15 21:06:29.723097 : Epoch  3, Batch    248, Loss  0.618564, Average Loss  0.614652, Time  0.234336
2021-09-15 21:06:31.236990 : Epoch  3, Batch    249, Loss  0.605759, Average Loss  0.614559, Time  0.234443
2021-09-15 21:06:31.522305 : Epoch  2, Batch   1744, Loss  0.876678, Average Loss  0.871946, Time  0.266969
2021-09-15 21:06:32.746618 : Epoch  3, Batch    250, Loss  0.607351, Average Loss  0.614538, Time  0.234461
2021-09-15 21:06:34.256978 : Epoch  3, Batch    251, Loss  0.611515, Average Loss  0.614524, Time  0.235848
2021-09-15 21:06:35.762730 : Epoch  3, Batch    252, Loss  0.611508, Average Loss  0.614503, Time  0.234794
2021-09-15 21:06:37.280873 : Epoch  3, Batch    253, Loss  0.610433, Average Loss  0.614515, Time  0.234181
2021-09-15 21:06:38.798909 : Epoch  3, Batch    254, Loss  0.609352, Average Loss  0.614521, Time  0.235579
2021-09-15 21:06:40.321099 : Epoch  3, Batch    255, Loss  0.614102, Average Loss  0.614501, Time  0.234659
2021-09-15 21:06:41.818333 : Epoch  3, Batch    256, Loss  0.625415, Average Loss  0.614523, Time  0.234214
2021-09-15 21:06:43.330102 : Epoch  3, Batch    257, Loss  0.616471, Average Loss  0.614532, Time  0.234133
2021-09-15 21:06:44.850807 : Epoch  3, Batch    258, Loss  0.625854, Average Loss  0.614580, Time  0.234681
2021-09-15 21:06:46.345935 : Epoch  3, Batch    259, Loss  0.617578, Average Loss  0.614544, Time  0.234081
2021-09-15 21:06:47.850729 : Epoch  3, Batch    260, Loss  0.615983, Average Loss  0.614565, Time  0.234539
2021-09-15 21:06:49.373781 : Epoch  3, Batch    261, Loss  0.611168, Average Loss  0.614552, Time  0.234091
2021-09-15 21:06:50.878307 : Epoch  3, Batch    262, Loss  0.607248, Average Loss  0.614508, Time  0.234389
2021-09-15 21:06:52.380016 : Epoch  3, Batch    263, Loss  0.625440, Average Loss  0.614562, Time  0.234990
2021-09-15 21:06:53.887002 : Epoch  3, Batch    264, Loss  0.610194, Average Loss  0.614504, Time  0.234420
2021-09-15 21:06:55.404746 : Epoch  3, Batch    265, Loss  0.610267, Average Loss  0.614522, Time  0.234228
2021-09-15 21:06:56.912263 : Epoch  3, Batch    266, Loss  0.622339, Average Loss  0.614541, Time  0.234141
2021-09-15 21:06:58.420154 : Epoch  3, Batch    267, Loss  0.615282, Average Loss  0.614553, Time  0.234272
2021-09-15 21:06:59.930051 : Epoch  3, Batch    268, Loss  0.619102, Average Loss  0.614586, Time  0.234610
2021-09-15 21:07:01.436892 : Epoch  3, Batch    269, Loss  0.608940, Average Loss  0.614503, Time  0.234190
2021-09-15 21:07:02.948714 : Epoch  3, Batch    270, Loss  0.611487, Average Loss  0.614479, Time  0.234414
2021-09-15 21:07:04.452840 : Epoch  3, Batch    271, Loss  0.618054, Average Loss  0.614508, Time  0.235447
2021-09-15 21:07:05.962443 : Epoch  3, Batch    272, Loss  0.617257, Average Loss  0.614534, Time  0.234373
2021-09-15 21:07:07.464853 : Epoch  3, Batch    273, Loss  0.611890, Average Loss  0.614512, Time  0.235169
2021-09-15 21:07:08.974137 : Epoch  3, Batch    274, Loss  0.617192, Average Loss  0.614476, Time  0.235405
2021-09-15 21:07:10.485019 : Epoch  3, Batch    275, Loss  0.611340, Average Loss  0.614398, Time  0.234867
2021-09-15 21:07:11.991739 : Epoch  3, Batch    276, Loss  0.623559, Average Loss  0.614482, Time  0.234162
2021-09-15 21:07:13.501080 : Epoch  3, Batch    277, Loss  0.617379, Average Loss  0.614530, Time  0.234377
2021-09-15 21:07:14.997219 : Epoch  3, Batch    278, Loss  0.616211, Average Loss  0.614510, Time  0.235257
2021-09-15 21:07:16.497720 : Epoch  3, Batch    279, Loss  0.612032, Average Loss  0.614550, Time  0.234123
2021-09-15 21:07:17.997546 : Epoch  3, Batch    280, Loss  0.620587, Average Loss  0.614602, Time  0.234246
2021-09-15 21:07:19.503350 : Epoch  3, Batch    281, Loss  0.612557, Average Loss  0.614588, Time  0.234359
2021-09-15 21:07:21.006904 : Epoch  3, Batch    282, Loss  0.615110, Average Loss  0.614608, Time  0.235585
2021-09-15 21:07:22.510972 : Epoch  3, Batch    283, Loss  0.605502, Average Loss  0.614557, Time  0.234372
2021-09-15 21:07:24.018854 : Epoch  3, Batch    284, Loss  0.622962, Average Loss  0.614616, Time  0.234661
2021-09-15 21:07:25.530971 : Epoch  3, Batch    285, Loss  0.615555, Average Loss  0.614593, Time  0.235519
2021-09-15 21:07:27.032198 : Epoch  3, Batch    286, Loss  0.612859, Average Loss  0.614573, Time  0.234446
2021-09-15 21:07:28.525946 : Epoch  3, Batch    287, Loss  0.616058, Average Loss  0.614568, Time  0.234003
2021-09-15 21:07:30.030006 : Epoch  3, Batch    288, Loss  0.622812, Average Loss  0.614545, Time  0.234686
2021-09-15 21:07:31.539633 : Epoch  3, Batch    289, Loss  0.603785, Average Loss  0.614448, Time  0.234371
2021-09-15 21:07:33.048817 : Epoch  3, Batch    290, Loss  0.615361, Average Loss  0.614426, Time  0.234609
2021-09-15 21:07:34.564022 : Epoch  3, Batch    291, Loss  0.610383, Average Loss  0.614360, Time  0.234233
2021-09-15 21:07:36.067981 : Epoch  3, Batch    292, Loss  0.602746, Average Loss  0.614334, Time  0.235293
2021-09-15 21:07:37.579585 : Epoch  3, Batch    293, Loss  0.602204, Average Loss  0.614256, Time  0.234146
2021-09-15 21:07:39.080386 : Epoch  3, Batch    294, Loss  0.627484, Average Loss  0.614341, Time  0.234293
2021-09-15 21:07:40.584062 : Epoch  3, Batch    295, Loss  0.613960, Average Loss  0.614341, Time  0.234143
2021-09-15 21:07:42.082874 : Epoch  3, Batch    296, Loss  0.626573, Average Loss  0.614389, Time  0.234418
2021-09-15 21:07:45.937828 : Epoch  3, Batch    297, Loss  0.607286, Average Loss  0.614373, Time  0.270296
2021-09-15 21:07:47.450692 : Epoch  3, Batch    298, Loss  0.611773, Average Loss  0.614364, Time  0.252046
2021-09-15 21:07:48.961239 : Epoch  3, Batch    299, Loss  0.616175, Average Loss  0.614359, Time  0.239341
2021-09-15 21:07:50.453488 : Epoch  3, Batch    300, Loss  0.627078, Average Loss  0.614360, Time  0.235320
2021-09-15 21:07:51.957900 : Epoch  3, Batch    301, Loss  0.624690, Average Loss  0.614457, Time  0.236663
2021-09-15 21:07:53.452192 : Epoch  3, Batch    302, Loss  0.626540, Average Loss  0.614467, Time  0.234607
2021-09-15 21:07:54.957844 : Epoch  3, Batch    303, Loss  0.606863, Average Loss  0.614425, Time  0.235151
2021-09-15 21:07:56.453998 : Epoch  3, Batch    304, Loss  0.611617, Average Loss  0.614373, Time  0.234726
2021-09-15 21:07:57.955721 : Epoch  3, Batch    305, Loss  0.621768, Average Loss  0.614434, Time  0.234600
2021-09-15 21:07:59.449898 : Epoch  3, Batch    306, Loss  0.608059, Average Loss  0.614375, Time  0.235817
2021-09-15 21:08:00.948794 : Epoch  3, Batch    307, Loss  0.607751, Average Loss  0.614315, Time  0.236138
2021-09-15 21:08:02.447043 : Epoch  3, Batch    308, Loss  0.611468, Average Loss  0.614315, Time  0.234851
2021-09-15 21:08:03.940365 : Epoch  3, Batch    309, Loss  0.620997, Average Loss  0.614334, Time  0.234545
2021-09-15 21:08:05.440093 : Epoch  3, Batch    310, Loss  0.603781, Average Loss  0.614289, Time  0.234676
2021-09-15 21:08:06.932198 : Epoch  3, Batch    311, Loss  0.610378, Average Loss  0.614238, Time  0.234025
2021-09-15 21:08:08.431085 : Epoch  3, Batch    312, Loss  0.600508, Average Loss  0.614184, Time  0.234372
2021-09-15 21:08:09.940006 : Epoch  3, Batch    313, Loss  0.601503, Average Loss  0.614137, Time  0.234642
2021-09-15 21:08:11.444717 : Epoch  3, Batch    314, Loss  0.610452, Average Loss  0.614059, Time  0.235509
2021-09-15 21:08:12.944864 : Epoch  3, Batch    315, Loss  0.614368, Average Loss  0.614042, Time  0.234730
2021-09-15 21:08:14.438313 : Epoch  3, Batch    316, Loss  0.618121, Average Loss  0.614054, Time  0.234222
2021-09-15 21:08:15.926930 : Epoch  3, Batch    317, Loss  0.615673, Average Loss  0.614029, Time  0.235066
2021-09-15 21:08:17.434236 : Epoch  3, Batch    318, Loss  0.613863, Average Loss  0.614038, Time  0.234941
2021-09-15 21:08:18.934086 : Epoch  3, Batch    319, Loss  0.607793, Average Loss  0.614024, Time  0.234311
2021-09-15 21:08:20.427808 : Epoch  3, Batch    320, Loss  0.616548, Average Loss  0.614027, Time  0.235756
2021-09-15 21:08:21.922712 : Epoch  3, Batch    321, Loss  0.618720, Average Loss  0.614037, Time  0.234625
2021-09-15 21:08:23.421992 : Epoch  3, Batch    322, Loss  0.615519, Average Loss  0.613982, Time  0.234588
2021-09-15 21:08:24.920687 : Epoch  3, Batch    323, Loss  0.619254, Average Loss  0.613923, Time  0.234463
2021-09-15 21:08:26.416344 : Epoch  3, Batch    324, Loss  0.610384, Average Loss  0.613929, Time  0.233954
2021-09-15 21:08:27.918018 : Epoch  3, Batch    325, Loss  0.612420, Average Loss  0.613918, Time  0.235117
2021-09-15 21:08:29.419032 : Epoch  3, Batch    326, Loss  0.629973, Average Loss  0.613993, Time  0.234390
2021-09-15 21:09:25.398713 : CheckPoint: Validation Loss  0.00024924, Best Loss  0.00024924
2021-09-15 21:09:25.437568 : Best Model Updated
2021-09-15 21:09:27.652114 : Epoch  3, Batch    327, Loss  0.607624, Average Loss  0.613914, Time  0.234684
2021-09-15 21:09:29.196744 : Epoch  3, Batch    328, Loss  0.612972, Average Loss  0.613839, Time  0.234148
2021-09-15 21:09:30.703917 : Epoch  3, Batch    329, Loss  0.621193, Average Loss  0.613876, Time  0.235061
2021-09-15 21:09:32.215820 : Epoch  3, Batch    330, Loss  0.612635, Average Loss  0.613906, Time  0.233812
2021-09-15 21:09:33.714918 : Epoch  3, Batch    331, Loss  0.603812, Average Loss  0.613831, Time  0.233621
2021-09-15 21:09:35.225004 : Epoch  3, Batch    332, Loss  0.604394, Average Loss  0.613740, Time  0.233836
2021-09-15 21:09:36.721011 : Epoch  3, Batch    333, Loss  0.609424, Average Loss  0.613693, Time  0.234207
2021-09-15 21:09:38.239032 : Epoch  3, Batch    334, Loss  0.615998, Average Loss  0.613702, Time  0.234317
2021-09-15 21:09:39.737060 : Epoch  3, Batch    335, Loss  0.613608, Average Loss  0.613616, Time  0.234288
2021-09-15 21:09:41.233195 : Epoch  3, Batch    336, Loss  0.636161, Average Loss  0.613753, Time  0.233884
2021-09-15 21:09:42.726808 : Epoch  3, Batch    337, Loss  0.609540, Average Loss  0.613719, Time  0.233564
2021-09-15 21:09:44.223280 : Epoch  3, Batch    338, Loss  0.601070, Average Loss  0.613678, Time  0.234028
2021-09-15 21:09:45.722069 : Epoch  3, Batch    339, Loss  0.615866, Average Loss  0.613708, Time  0.233706
2021-09-15 21:09:47.227215 : Epoch  3, Batch    340, Loss  0.615806, Average Loss  0.613720, Time  0.233561
2021-09-15 21:09:48.721972 : Epoch  3, Batch    341, Loss  0.613838, Average Loss  0.613706, Time  0.233873
2021-09-15 21:09:50.225203 : Epoch  3, Batch    342, Loss  0.607800, Average Loss  0.613684, Time  0.233577
2021-09-15 21:09:51.724707 : Epoch  3, Batch    343, Loss  0.616457, Average Loss  0.613681, Time  0.233682
2021-09-15 21:09:53.220066 : Epoch  3, Batch    344, Loss  0.612075, Average Loss  0.613712, Time  0.234089
2021-09-15 21:09:54.718086 : Epoch  3, Batch    345, Loss  0.612485, Average Loss  0.613708, Time  0.233932
2021-09-15 21:09:56.222687 : Epoch  3, Batch    346, Loss  0.607665, Average Loss  0.613683, Time  0.233845
2021-09-15 21:09:57.735993 : Epoch  3, Batch    347, Loss  0.612652, Average Loss  0.613713, Time  0.233865
2021-09-15 21:09:59.238059 : Epoch  3, Batch    348, Loss  0.609826, Average Loss  0.613693, Time  0.233754
2021-09-15 21:10:00.742952 : Epoch  3, Batch    349, Loss  0.611453, Average Loss  0.613695, Time  0.233789
2021-09-15 21:10:02.246753 : Epoch  3, Batch    350, Loss  0.620983, Average Loss  0.613726, Time  0.233696
2021-09-15 21:10:03.740767 : Epoch  3, Batch    351, Loss  0.607388, Average Loss  0.613671, Time  0.233588
2021-09-15 21:10:05.244935 : Epoch  3, Batch    352, Loss  0.604272, Average Loss  0.613597, Time  0.234006
2021-09-15 21:10:06.733080 : Epoch  3, Batch    353, Loss  0.620675, Average Loss  0.613632, Time  0.233842
2021-09-15 21:10:08.230933 : Epoch  3, Batch    354, Loss  0.607981, Average Loss  0.613604, Time  0.233724
2021-09-15 21:10:09.738218 : Epoch  3, Batch    355, Loss  0.611832, Average Loss  0.613598, Time  0.233819
2021-09-15 21:10:11.232073 : Epoch  3, Batch    356, Loss  0.603671, Average Loss  0.613559, Time  0.234445
2021-09-15 21:10:12.729884 : Epoch  3, Batch    357, Loss  0.619810, Average Loss  0.613550, Time  0.233542
2021-09-15 21:10:14.227957 : Epoch  3, Batch    358, Loss  0.610519, Average Loss  0.613518, Time  0.234179
2021-09-15 21:10:15.721761 : Epoch  3, Batch    359, Loss  0.609302, Average Loss  0.613493, Time  0.233843
2021-09-15 21:10:17.228819 : Epoch  3, Batch    360, Loss  0.614285, Average Loss  0.613504, Time  0.234740
2021-09-15 21:10:18.733197 : Epoch  3, Batch    361, Loss  0.606447, Average Loss  0.613457, Time  0.233729
2021-09-15 21:10:20.227919 : Epoch  3, Batch    362, Loss  0.619078, Average Loss  0.613473, Time  0.233516
2021-09-15 21:10:21.725098 : Epoch  3, Batch    363, Loss  0.597397, Average Loss  0.613384, Time  0.233617
2021-09-15 21:10:23.221088 : Epoch  3, Batch    364, Loss  0.621379, Average Loss  0.613420, Time  0.233779
2021-09-15 21:10:24.722783 : Epoch  3, Batch    365, Loss  0.614353, Average Loss  0.613455, Time  0.233638
2021-09-15 21:10:26.228868 : Epoch  3, Batch    366, Loss  0.607681, Average Loss  0.613376, Time  0.233783
2021-09-15 21:10:27.728735 : Epoch  3, Batch    367, Loss  0.618003, Average Loss  0.613432, Time  0.233705
2021-09-15 21:10:29.232078 : Epoch  3, Batch    368, Loss  0.617585, Average Loss  0.613428, Time  0.233600
2021-09-15 21:10:30.736793 : Epoch  3, Batch    369, Loss  0.611131, Average Loss  0.613391, Time  0.234210
2021-09-15 21:10:32.237871 : Epoch  3, Batch    370, Loss  0.605547, Average Loss  0.613331, Time  0.233771
2021-09-15 21:10:33.729971 : Epoch  3, Batch    371, Loss  0.609295, Average Loss  0.613349, Time  0.233610
2021-09-15 21:10:35.233245 : Epoch  3, Batch    372, Loss  0.609707, Average Loss  0.613329, Time  0.234020
2021-09-15 21:10:36.732215 : Epoch  3, Batch    373, Loss  0.606010, Average Loss  0.613283, Time  0.233598
2021-09-15 21:10:38.225206 : Epoch  3, Batch    374, Loss  0.615455, Average Loss  0.613289, Time  0.233606
2021-09-15 21:10:39.721058 : Epoch  3, Batch    375, Loss  0.618340, Average Loss  0.613311, Time  0.234114
2021-09-15 21:10:41.214976 : Epoch  3, Batch    376, Loss  0.607608, Average Loss  0.613293, Time  0.233641
2021-09-15 21:10:42.710092 : Epoch  3, Batch    377, Loss  0.611038, Average Loss  0.613295, Time  0.233819
2021-09-15 21:10:44.201078 : Epoch  3, Batch    378, Loss  0.610434, Average Loss  0.613324, Time  0.233578
2021-09-15 21:10:45.697777 : Epoch  3, Batch    379, Loss  0.620416, Average Loss  0.613364, Time  0.233573
2021-09-15 21:10:47.199193 : Epoch  3, Batch    380, Loss  0.608296, Average Loss  0.613387, Time  0.233650
2021-09-15 21:10:48.699213 : Epoch  3, Batch    381, Loss  0.611124, Average Loss  0.613383, Time  0.233591
2021-09-15 21:10:50.205928 : Epoch  3, Batch    382, Loss  0.615547, Average Loss  0.613422, Time  0.233644
2021-09-15 21:10:51.708711 : Epoch  3, Batch    383, Loss  0.623135, Average Loss  0.613471, Time  0.234259
2021-09-15 21:10:53.208932 : Epoch  3, Batch    384, Loss  0.617472, Average Loss  0.613513, Time  0.233507
2021-09-15 21:10:54.704719 : Epoch  3, Batch    385, Loss  0.603671, Average Loss  0.613504, Time  0.233927
2021-09-15 21:10:56.204220 : Epoch  3, Batch    386, Loss  0.611329, Average Loss  0.613444, Time  0.233972
2021-09-15 21:10:57.699126 : Epoch  3, Batch    387, Loss  0.613174, Average Loss  0.613409, Time  0.233551
2021-09-15 21:10:59.189003 : Epoch  3, Batch    388, Loss  0.615844, Average Loss  0.613410, Time  0.233505
2021-09-15 21:11:00.685986 : Epoch  3, Batch    389, Loss  0.615105, Average Loss  0.613442, Time  0.234535
2021-09-15 21:11:02.184230 : Epoch  3, Batch    390, Loss  0.610782, Average Loss  0.613398, Time  0.233855
2021-09-15 21:11:03.688013 : Epoch  3, Batch    391, Loss  0.612344, Average Loss  0.613404, Time  0.233704
2021-09-15 21:11:05.196772 : Epoch  3, Batch    392, Loss  0.606575, Average Loss  0.613398, Time  0.234015
2021-09-15 21:11:06.699217 : Epoch  3, Batch    393, Loss  0.606315, Average Loss  0.613424, Time  0.233645
2021-09-15 21:11:08.198263 : Epoch  3, Batch    394, Loss  0.620297, Average Loss  0.613429, Time  0.235138
2021-09-15 21:11:09.706860 : Epoch  3, Batch    395, Loss  0.603231, Average Loss  0.613432, Time  0.233564
2021-09-15 21:11:10.804712 : CheckPoint: Validation Loss  0.00030170, Best Loss  0.00029457
2021-09-15 21:11:11.200968 : Epoch  3, Batch    396, Loss  0.622449, Average Loss  0.613432, Time  0.233603
2021-09-15 21:11:13.834837 : Epoch  2, Batch   1745, Loss  0.886446, Average Loss  0.872011, Time  0.268781
2021-09-15 21:11:15.073950 : Epoch  3, Batch    397, Loss  0.618933, Average Loss  0.613427, Time  0.265063
2021-09-15 21:11:16.567962 : Epoch  3, Batch    398, Loss  0.597523, Average Loss  0.613400, Time  0.237890
2021-09-15 21:11:16.837987 : Epoch  2, Batch   1746, Loss  0.880716, Average Loss  0.872116, Time  0.265511
2021-09-15 21:11:18.059712 : Epoch  3, Batch    399, Loss  0.604670, Average Loss  0.613324, Time  0.233678
2021-09-15 21:11:19.562822 : Epoch  3, Batch    400, Loss  0.611970, Average Loss  0.613315, Time  0.234878
2021-09-15 21:11:19.834008 : Epoch  2, Batch   1747, Loss  0.883825, Average Loss  0.872105, Time  0.266743
2021-09-15 21:11:21.078912 : Epoch  3, Batch    401, Loss  0.618028, Average Loss  0.613336, Time  0.236026
2021-09-15 21:11:22.585855 : Epoch  3, Batch    402, Loss  0.604955, Average Loss  0.613254, Time  0.248858
2021-09-15 21:11:22.845036 : Epoch  2, Batch   1748, Loss  0.858947, Average Loss  0.872056, Time  0.265859
2021-09-15 21:11:24.077380 : Epoch  3, Batch    403, Loss  0.596099, Average Loss  0.613211, Time  0.233673
2021-09-15 21:11:25.610322 : Epoch  3, Batch    404, Loss  0.611632, Average Loss  0.613224, Time  0.233962
2021-09-15 21:11:25.850660 : Epoch  2, Batch   1749, Loss  0.874847, Average Loss  0.872170, Time  0.265660
2021-09-15 21:11:27.130757 : Epoch  3, Batch    405, Loss  0.607916, Average Loss  0.613254, Time  0.233946
2021-09-15 21:11:28.622979 : Epoch  3, Batch    406, Loss  0.605621, Average Loss  0.613206, Time  0.233673
2021-09-15 21:11:28.846232 : Epoch  2, Batch   1750, Loss  0.885116, Average Loss  0.872382, Time  0.265419
2021-09-15 21:11:30.122731 : Epoch  3, Batch    407, Loss  0.619716, Average Loss  0.613262, Time  0.234401
2021-09-15 21:11:31.640029 : Epoch  3, Batch    408, Loss  0.610082, Average Loss  0.613232, Time  0.233968
2021-09-15 21:11:31.846271 : Epoch  2, Batch   1751, Loss  0.865380, Average Loss  0.872388, Time  0.275118
2021-09-15 21:11:33.131976 : Epoch  3, Batch    409, Loss  0.618453, Average Loss  0.613265, Time  0.234102
2021-09-15 21:11:34.626804 : Epoch  3, Batch    410, Loss  0.610258, Average Loss  0.613269, Time  0.234284
2021-09-15 21:11:34.845673 : Epoch  2, Batch   1752, Loss  0.883551, Average Loss  0.872420, Time  0.266573
2021-09-15 21:11:36.118083 : Epoch  3, Batch    411, Loss  0.609365, Average Loss  0.613171, Time  0.234159
2021-09-15 21:11:37.606929 : Epoch  3, Batch    412, Loss  0.608433, Average Loss  0.613099, Time  0.233592
2021-09-15 21:11:37.851982 : Epoch  2, Batch   1753, Loss  0.879959, Average Loss  0.872497, Time  0.265987
2021-09-15 21:11:39.107703 : Epoch  3, Batch    413, Loss  0.614621, Average Loss  0.613110, Time  0.234309
2021-09-15 21:11:40.596074 : Epoch  3, Batch    414, Loss  0.602889, Average Loss  0.613014, Time  0.233484
2021-09-15 21:11:40.818345 : Epoch  2, Batch   1754, Loss  0.857965, Average Loss  0.872329, Time  0.264860
2021-09-15 21:11:42.095706 : Epoch  3, Batch    415, Loss  0.595248, Average Loss  0.612853, Time  0.234063
2021-09-15 21:11:43.585033 : Epoch  3, Batch    416, Loss  0.606353, Average Loss  0.612829, Time  0.233860
2021-09-15 21:11:43.837472 : Epoch  2, Batch   1755, Loss  0.852493, Average Loss  0.872183, Time  0.265275
2021-09-15 21:11:45.075961 : Epoch  3, Batch    417, Loss  0.612502, Average Loss  0.612822, Time  0.233514
2021-09-15 21:11:46.565212 : Epoch  3, Batch    418, Loss  0.620360, Average Loss  0.612884, Time  0.233651
2021-09-15 21:11:46.811089 : Epoch  2, Batch   1756, Loss  0.881402, Average Loss  0.872276, Time  0.265113
2021-09-15 21:11:48.060700 : Epoch  3, Batch    419, Loss  0.612248, Average Loss  0.612850, Time  0.233903
2021-09-15 21:11:49.548219 : Epoch  3, Batch    420, Loss  0.607293, Average Loss  0.612829, Time  0.233681
2021-09-15 21:11:49.786268 : Epoch  2, Batch   1757, Loss  0.891861, Average Loss  0.872418, Time  0.265472
2021-09-15 21:11:51.060777 : Epoch  3, Batch    421, Loss  0.617440, Average Loss  0.612828, Time  0.233782
2021-09-15 21:11:51.215697 : Epoch  3, Batch    422, Loss  0.578254, Average Loss  0.612711, Time  0.089005
2021-09-15 21:11:52.698774 : Epoch  3, Batch    423, Loss  0.608917, Average Loss  0.612718, Time  0.233674
2021-09-15 21:11:52.793397 : Epoch  2, Batch   1758, Loss  0.890177, Average Loss  0.872516, Time  0.265940
2021-09-15 21:11:54.197803 : Epoch  3, Batch    424, Loss  0.611626, Average Loss  0.612713, Time  0.233685
2021-09-15 21:11:55.689229 : Epoch  3, Batch    425, Loss  0.612975, Average Loss  0.612736, Time  0.233877
2021-09-15 21:11:55.808851 : Epoch  2, Batch   1759, Loss  0.898426, Average Loss  0.872740, Time  0.265628
2021-09-15 21:11:58.807258 : Epoch  2, Batch   1760, Loss  0.865935, Average Loss  0.872803, Time  0.265345
2021-09-15 21:11:59.391092 : Epoch  3, Batch    426, Loss  0.627604, Average Loss  0.612801, Time  0.271499
2021-09-15 21:12:01.838959 : Epoch  2, Batch   1761, Loss  0.886637, Average Loss  0.872867, Time  0.265422
2021-09-15 21:12:04.838442 : Epoch  2, Batch   1762, Loss  0.864195, Average Loss  0.872924, Time  0.268016
2021-09-15 21:12:07.856934 : Epoch  2, Batch   1763, Loss  0.855470, Average Loss  0.872791, Time  0.265472
2021-09-15 21:12:10.850639 : Epoch  2, Batch   1764, Loss  0.876021, Average Loss  0.872810, Time  0.265350
2021-09-15 21:12:13.843039 : Epoch  2, Batch   1765, Loss  0.862543, Average Loss  0.872719, Time  0.267713
2021-09-15 21:12:16.867393 : Epoch  2, Batch   1766, Loss  0.866044, Average Loss  0.872759, Time  0.280252
2021-09-15 21:12:19.861988 : Epoch  2, Batch   1767, Loss  0.862426, Average Loss  0.872546, Time  0.265767
2021-09-15 21:12:22.838622 : Epoch  2, Batch   1768, Loss  0.877512, Average Loss  0.872538, Time  0.265365
2021-09-15 21:12:25.823321 : Epoch  2, Batch   1769, Loss  0.860116, Average Loss  0.872406, Time  0.266193
2021-09-15 21:12:28.841237 : Epoch  2, Batch   1770, Loss  0.886599, Average Loss  0.872492, Time  0.266127
2021-09-15 21:12:31.865255 : Epoch  2, Batch   1771, Loss  0.879488, Average Loss  0.872490, Time  0.265427
2021-09-15 21:12:34.853753 : Epoch  2, Batch   1772, Loss  0.863515, Average Loss  0.872405, Time  0.264700
2021-09-15 21:12:37.837474 : Epoch  2, Batch   1773, Loss  0.860575, Average Loss  0.872396, Time  0.265367
2021-09-15 21:12:40.833352 : Epoch  2, Batch   1774, Loss  0.885685, Average Loss  0.872437, Time  0.265618
2021-09-15 21:12:43.842752 : Epoch  2, Batch   1775, Loss  0.890609, Average Loss  0.872567, Time  0.265396
2021-09-15 21:12:46.858318 : Epoch  2, Batch   1776, Loss  0.869345, Average Loss  0.872612, Time  0.265022
2021-09-15 21:12:49.860116 : Epoch  2, Batch   1777, Loss  0.873733, Average Loss  0.872595, Time  0.265842
2021-09-15 21:12:52.842779 : Epoch  2, Batch   1778, Loss  0.864338, Average Loss  0.872642, Time  0.264963
2021-09-15 21:12:55.116693 : CheckPoint: Validation Loss  0.00025947, Best Loss  0.00024924
2021-09-15 21:12:55.817223 : Epoch  2, Batch   1779, Loss  0.884808, Average Loss  0.872701, Time  0.264925
2021-09-15 21:12:56.647008 : Epoch  3, Batch    427, Loss  0.618264, Average Loss  0.612852, Time  0.235931
2021-09-15 21:12:58.151015 : Epoch  3, Batch    428, Loss  0.631710, Average Loss  0.612944, Time  0.234283
2021-09-15 21:12:58.833804 : Epoch  2, Batch   1780, Loss  0.869000, Average Loss  0.872715, Time  0.265574
2021-09-15 21:12:59.663780 : Epoch  3, Batch    429, Loss  0.629643, Average Loss  0.613047, Time  0.234858
2021-09-15 21:13:01.181769 : Epoch  3, Batch    430, Loss  0.623536, Average Loss  0.613100, Time  0.234439
2021-09-15 21:13:01.856456 : Epoch  2, Batch   1781, Loss  0.902305, Average Loss  0.872928, Time  0.277690
2021-09-15 21:13:02.692726 : Epoch  3, Batch    431, Loss  0.621927, Average Loss  0.613157, Time  0.233954
2021-09-15 21:13:04.189883 : Epoch  3, Batch    432, Loss  0.617796, Average Loss  0.613161, Time  0.234142
2021-09-15 21:13:04.856974 : Epoch  2, Batch   1782, Loss  0.863549, Average Loss  0.872966, Time  0.267909
2021-09-15 21:13:05.694288 : Epoch  3, Batch    433, Loss  0.625975, Average Loss  0.613194, Time  0.234304
2021-09-15 21:13:07.200819 : Epoch  3, Batch    434, Loss  0.624390, Average Loss  0.613278, Time  0.234527
2021-09-15 21:13:07.862902 : Epoch  2, Batch   1783, Loss  0.872701, Average Loss  0.872947, Time  0.266848
2021-09-15 21:13:08.699077 : Epoch  3, Batch    435, Loss  0.620055, Average Loss  0.613391, Time  0.233855
2021-09-15 21:13:10.194034 : Epoch  3, Batch    436, Loss  0.629666, Average Loss  0.613489, Time  0.234392
2021-09-15 21:13:10.851301 : Epoch  2, Batch   1784, Loss  0.888444, Average Loss  0.873061, Time  0.265477
2021-09-15 21:13:11.695079 : Epoch  3, Batch    437, Loss  0.611839, Average Loss  0.613489, Time  0.234291
2021-09-15 21:13:13.207186 : Epoch  3, Batch    438, Loss  0.613487, Average Loss  0.613487, Time  0.235445
2021-09-15 21:13:13.840029 : Epoch  2, Batch   1785, Loss  0.852107, Average Loss  0.872845, Time  0.265939
2021-09-15 21:13:14.716729 : Epoch  3, Batch    439, Loss  0.614045, Average Loss  0.613493, Time  0.235610
2021-09-15 21:13:16.218859 : Epoch  3, Batch    440, Loss  0.626851, Average Loss  0.613508, Time  0.234242
2021-09-15 21:13:16.838896 : Epoch  2, Batch   1786, Loss  0.867089, Average Loss  0.872782, Time  0.265208
2021-09-15 21:13:17.731936 : Epoch  3, Batch    441, Loss  0.614722, Average Loss  0.613459, Time  0.234678
2021-09-15 21:13:19.228966 : Epoch  3, Batch    442, Loss  0.604355, Average Loss  0.613445, Time  0.234040
2021-09-15 21:13:19.830988 : Epoch  2, Batch   1787, Loss  0.874434, Average Loss  0.872764, Time  0.266670
2021-09-15 21:13:20.729990 : Epoch  3, Batch    443, Loss  0.611417, Average Loss  0.613409, Time  0.234047
2021-09-15 21:13:21.281149 : Epoch  2, Batch   1788, Loss  0.858183, Average Loss  0.872737, Time  0.165330
2021-09-15 21:13:22.259861 : Epoch  3, Batch    444, Loss  0.623560, Average Loss  0.613447, Time  0.234306
2021-09-15 21:13:23.759717 : Epoch  3, Batch    445, Loss  0.620256, Average Loss  0.613489, Time  0.234213
2021-09-15 21:13:24.276825 : Epoch  2, Batch   1789, Loss  0.869366, Average Loss  0.872812, Time  0.267009
2021-09-15 21:13:25.266904 : Epoch  3, Batch    446, Loss  0.622879, Average Loss  0.613561, Time  0.234063
2021-09-15 21:13:26.773991 : Epoch  3, Batch    447, Loss  0.616360, Average Loss  0.613537, Time  0.234487
2021-09-15 21:13:27.241326 : Epoch  2, Batch   1790, Loss  0.850220, Average Loss  0.872679, Time  0.265087
2021-09-15 21:13:28.279157 : Epoch  3, Batch    448, Loss  0.618914, Average Loss  0.613539, Time  0.234282
2021-09-15 21:13:29.784037 : Epoch  3, Batch    449, Loss  0.607614, Average Loss  0.613548, Time  0.234052
2021-09-15 21:13:30.239085 : Epoch  2, Batch   1791, Loss  0.847328, Average Loss  0.872587, Time  0.265374
2021-09-15 21:13:31.310065 : Epoch  3, Batch    450, Loss  0.625775, Average Loss  0.613641, Time  0.234144
2021-09-15 21:13:32.814728 : Epoch  3, Batch    451, Loss  0.616535, Average Loss  0.613666, Time  0.234437
2021-09-15 21:13:33.250685 : Epoch  2, Batch   1792, Loss  0.869940, Average Loss  0.872580, Time  0.265880
2021-09-15 21:13:34.322158 : Epoch  3, Batch    452, Loss  0.617531, Average Loss  0.613696, Time  0.234281
2021-09-15 21:13:35.834842 : Epoch  3, Batch    453, Loss  0.616048, Average Loss  0.613724, Time  0.234569
2021-09-15 21:13:36.223033 : Epoch  2, Batch   1793, Loss  0.899977, Average Loss  0.872724, Time  0.264746
2021-09-15 21:13:37.347468 : Epoch  3, Batch    454, Loss  0.610583, Average Loss  0.613730, Time  0.234463
2021-09-15 21:13:38.864430 : Epoch  3, Batch    455, Loss  0.620860, Average Loss  0.613764, Time  0.234257
2021-09-15 21:13:39.188921 : Epoch  2, Batch   1794, Loss  0.882666, Average Loss  0.872899, Time  0.265173
2021-09-15 21:13:40.568051 : Epoch  3, Batch    456, Loss  0.609840, Average Loss  0.613686, Time  0.234102
2021-09-15 21:13:42.070748 : Epoch  3, Batch    457, Loss  0.612641, Average Loss  0.613667, Time  0.234360
2021-09-15 21:13:42.160675 : Epoch  2, Batch   1795, Loss  0.858077, Average Loss  0.872892, Time  0.266634
2021-09-15 21:13:43.586997 : Epoch  3, Batch    458, Loss  0.610076, Average Loss  0.613588, Time  0.234215
2021-09-15 21:13:45.090945 : Epoch  3, Batch    459, Loss  0.605941, Average Loss  0.613530, Time  0.234532
2021-09-15 21:13:45.158490 : Epoch  2, Batch   1796, Loss  0.858819, Average Loss  0.872805, Time  0.265880
2021-09-15 21:13:46.597025 : Epoch  3, Batch    460, Loss  0.611650, Average Loss  0.613508, Time  0.234096
2021-09-15 21:13:48.101994 : Epoch  3, Batch    461, Loss  0.603376, Average Loss  0.613469, Time  0.234232
2021-09-15 21:13:48.141991 : Epoch  2, Batch   1797, Loss  0.873695, Average Loss  0.872836, Time  0.276006
2021-09-15 21:13:49.610987 : Epoch  3, Batch    462, Loss  0.619862, Average Loss  0.613532, Time  0.234488
2021-09-15 21:13:51.123795 : Epoch  2, Batch   1798, Loss  0.872894, Average Loss  0.872923, Time  0.266769
2021-09-15 21:13:51.138132 : Epoch  3, Batch    463, Loss  0.621040, Average Loss  0.613510, Time  0.234226
2021-09-15 21:13:52.649847 : Epoch  3, Batch    464, Loss  0.610316, Average Loss  0.613511, Time  0.234312
2021-09-15 21:13:54.110212 : Epoch  2, Batch   1799, Loss  0.870853, Average Loss  0.872905, Time  0.264894
2021-09-15 21:13:54.150728 : Epoch  3, Batch    465, Loss  0.626945, Average Loss  0.613594, Time  0.234385
2021-09-15 21:13:55.651966 : Epoch  3, Batch    466, Loss  0.618902, Average Loss  0.613577, Time  0.234949
2021-09-15 21:13:57.072424 : Epoch  2, Batch   1800, Loss  0.861521, Average Loss  0.872877, Time  0.265304
2021-09-15 21:13:57.162983 : Epoch  3, Batch    467, Loss  0.601540, Average Loss  0.613508, Time  0.234110
2021-09-15 21:13:58.648786 : Epoch  3, Batch    468, Loss  0.613996, Average Loss  0.613483, Time  0.234210
2021-09-15 21:14:00.084629 : Epoch  2, Batch   1801, Loss  0.870566, Average Loss  0.872865, Time  0.266467
2021-09-15 21:14:00.149063 : Epoch  3, Batch    469, Loss  0.616799, Average Loss  0.613522, Time  0.234305
2021-09-15 21:14:01.649756 : Epoch  3, Batch    470, Loss  0.608104, Average Loss  0.613505, Time  0.233947
2021-09-15 21:14:03.068008 : Epoch  2, Batch   1802, Loss  0.854720, Average Loss  0.872759, Time  0.265553
2021-09-15 21:14:03.143019 : Epoch  3, Batch    471, Loss  0.621892, Average Loss  0.613524, Time  0.234204
2021-09-15 21:14:04.641768 : Epoch  3, Batch    472, Loss  0.613705, Average Loss  0.613506, Time  0.234113
2021-09-15 21:14:06.052882 : Epoch  2, Batch   1803, Loss  0.857081, Average Loss  0.872715, Time  0.267078
2021-09-15 21:14:06.142237 : Epoch  3, Batch    473, Loss  0.612194, Average Loss  0.613508, Time  0.233890
2021-09-15 21:14:07.631807 : Epoch  3, Batch    474, Loss  0.605020, Average Loss  0.613447, Time  0.234153
2021-09-15 21:14:09.038208 : Epoch  2, Batch   1804, Loss  0.868220, Average Loss  0.872649, Time  0.264681
2021-09-15 21:14:09.133106 : Epoch  3, Batch    475, Loss  0.616605, Average Loss  0.613473, Time  0.234682
2021-09-15 21:14:10.619304 : Epoch  3, Batch    476, Loss  0.609208, Average Loss  0.613402, Time  0.234836
2021-09-15 21:14:12.023271 : Epoch  2, Batch   1805, Loss  0.866492, Average Loss  0.872708, Time  0.265708
2021-09-15 21:14:12.118873 : Epoch  3, Batch    477, Loss  0.620606, Average Loss  0.613418, Time  0.235367
2021-09-15 21:14:13.606995 : Epoch  3, Batch    478, Loss  0.607357, Average Loss  0.613374, Time  0.234312
2021-09-15 21:14:15.031475 : Epoch  2, Batch   1806, Loss  0.888256, Average Loss  0.872724, Time  0.267460
2021-09-15 21:14:15.103693 : Epoch  3, Batch    479, Loss  0.621818, Average Loss  0.613422, Time  0.234198
2021-09-15 21:14:16.591048 : Epoch  3, Batch    480, Loss  0.610127, Average Loss  0.613370, Time  0.234004
2021-09-15 21:14:18.075163 : Epoch  2, Batch   1807, Loss  0.858431, Average Loss  0.872627, Time  0.265660
2021-09-15 21:14:18.090022 : Epoch  3, Batch    481, Loss  0.621384, Average Loss  0.613414, Time  0.234287
2021-09-15 21:14:19.588770 : Epoch  3, Batch    482, Loss  0.615829, Average Loss  0.613418, Time  0.234188
2021-09-15 21:14:21.054825 : Epoch  2, Batch   1808, Loss  0.875339, Average Loss  0.872641, Time  0.265056
2021-09-15 21:14:21.088740 : Epoch  3, Batch    483, Loss  0.611760, Average Loss  0.613449, Time  0.234244
2021-09-15 21:14:22.575800 : Epoch  3, Batch    484, Loss  0.609602, Average Loss  0.613382, Time  0.234203
2021-09-15 21:14:24.034932 : Epoch  2, Batch   1809, Loss  0.881878, Average Loss  0.872647, Time  0.266498
2021-09-15 21:14:24.076842 : Epoch  3, Batch    485, Loss  0.604115, Average Loss  0.613325, Time  0.234028
2021-09-15 21:14:25.578766 : Epoch  3, Batch    486, Loss  0.611577, Average Loss  0.613319, Time  0.234381
2021-09-15 21:14:27.023339 : Epoch  2, Batch   1810, Loss  0.857141, Average Loss  0.872555, Time  0.266289
2021-09-15 21:14:27.094796 : Epoch  3, Batch    487, Loss  0.611357, Average Loss  0.613295, Time  0.235419
2021-09-15 21:14:28.589792 : Epoch  3, Batch    488, Loss  0.617574, Average Loss  0.613269, Time  0.233944
2021-09-15 21:14:30.031628 : Epoch  2, Batch   1811, Loss  0.878800, Average Loss  0.872555, Time  0.265487
2021-09-15 21:14:30.098710 : Epoch  3, Batch    489, Loss  0.613371, Average Loss  0.613317, Time  0.234821
2021-09-15 21:14:31.592914 : Epoch  3, Batch    490, Loss  0.613178, Average Loss  0.613306, Time  0.234146
2021-09-15 21:14:33.026079 : Epoch  2, Batch   1812, Loss  0.879382, Average Loss  0.872490, Time  0.273570
2021-09-15 21:14:33.089765 : Epoch  3, Batch    491, Loss  0.612175, Average Loss  0.613315, Time  0.234136
2021-09-15 21:14:34.584740 : Epoch  3, Batch    492, Loss  0.620679, Average Loss  0.613405, Time  0.234177
2021-09-15 21:14:35.992568 : Epoch  2, Batch   1813, Loss  0.873673, Average Loss  0.872486, Time  0.264856
2021-09-15 21:14:36.092274 : Epoch  3, Batch    493, Loss  0.610330, Average Loss  0.613445, Time  0.234152
2021-09-15 21:14:37.590132 : Epoch  3, Batch    494, Loss  0.607667, Average Loss  0.613346, Time  0.234277
2021-09-15 21:14:38.987817 : Epoch  2, Batch   1814, Loss  0.871325, Average Loss  0.872462, Time  0.264527
2021-09-15 21:14:39.107085 : Epoch  3, Batch    495, Loss  0.613098, Average Loss  0.613342, Time  0.234143
2021-09-15 21:14:40.619844 : Epoch  3, Batch    496, Loss  0.625215, Average Loss  0.613335, Time  0.234209
2021-09-15 21:14:41.979613 : Epoch  2, Batch   1815, Loss  0.877705, Average Loss  0.872622, Time  0.266428
2021-09-15 21:14:44.490026 : Epoch  3, Batch    497, Loss  0.614389, Average Loss  0.613371, Time  0.263349
2021-09-15 21:14:44.997010 : Epoch  2, Batch   1816, Loss  0.864859, Average Loss  0.872445, Time  0.266033
2021-09-15 21:14:45.986049 : Epoch  3, Batch    498, Loss  0.616366, Average Loss  0.613394, Time  0.237308
2021-09-15 21:14:47.483122 : Epoch  3, Batch    499, Loss  0.605988, Average Loss  0.613343, Time  0.234527
2021-09-15 21:14:47.988100 : Epoch  2, Batch   1817, Loss  0.882333, Average Loss  0.872401, Time  0.265808
2021-09-15 21:14:48.977070 : Epoch  3, Batch    500, Loss  0.608644, Average Loss  0.613251, Time  0.234068
2021-09-15 21:14:50.469266 : Epoch  3, Batch    501, Loss  0.608201, Average Loss  0.613168, Time  0.233974
2021-09-15 21:14:50.968000 : Epoch  2, Batch   1818, Loss  0.877489, Average Loss  0.872408, Time  0.265253
2021-09-15 21:14:51.981723 : Epoch  3, Batch    502, Loss  0.620660, Average Loss  0.613139, Time  0.234706
2021-09-15 21:14:53.482126 : Epoch  3, Batch    503, Loss  0.619000, Average Loss  0.613199, Time  0.233943
2021-09-15 21:14:53.930180 : Epoch  2, Batch   1819, Loss  0.872039, Average Loss  0.872446, Time  0.265218
2021-09-15 21:14:54.982766 : Epoch  3, Batch    504, Loss  0.608936, Average Loss  0.613186, Time  0.234147
2021-09-15 21:14:56.496179 : Epoch  3, Batch    505, Loss  0.601966, Average Loss  0.613087, Time  0.234199
2021-09-15 21:14:56.939919 : Epoch  2, Batch   1820, Loss  0.850904, Average Loss  0.872354, Time  0.265462
2021-09-15 21:14:58.088689 : Epoch  3, Batch    506, Loss  0.613310, Average Loss  0.613113, Time  0.234620
2021-09-15 21:14:59.609806 : Epoch  3, Batch    507, Loss  0.622766, Average Loss  0.613188, Time  0.234293
2021-09-15 21:14:59.958159 : Epoch  2, Batch   1821, Loss  0.860048, Average Loss  0.872240, Time  0.265135
2021-09-15 21:15:01.125376 : Epoch  3, Batch    508, Loss  0.630850, Average Loss  0.613285, Time  0.234310
2021-09-15 21:15:02.638107 : Epoch  3, Batch    509, Loss  0.603926, Average Loss  0.613200, Time  0.234260
2021-09-15 21:15:02.938643 : Epoch  2, Batch   1822, Loss  0.881926, Average Loss  0.872246, Time  0.265464
2021-09-15 21:15:04.169021 : Epoch  3, Batch    510, Loss  0.613532, Average Loss  0.613249, Time  0.234680
2021-09-15 21:15:05.668176 : Epoch  3, Batch    511, Loss  0.605220, Average Loss  0.613223, Time  0.233992
2021-09-15 21:15:05.933563 : Epoch  2, Batch   1823, Loss  0.874473, Average Loss  0.872289, Time  0.266371
2021-09-15 21:15:07.175863 : Epoch  3, Batch    512, Loss  0.619231, Average Loss  0.613316, Time  0.234209
2021-09-15 21:15:08.683886 : Epoch  3, Batch    513, Loss  0.616413, Average Loss  0.613391, Time  0.234860
2021-09-15 21:15:08.914178 : Epoch  2, Batch   1824, Loss  0.876449, Average Loss  0.872268, Time  0.266807
2021-09-15 21:15:10.184812 : Epoch  3, Batch    514, Loss  0.598021, Average Loss  0.613329, Time  0.234056
2021-09-15 21:15:11.685205 : Epoch  3, Batch    515, Loss  0.612657, Average Loss  0.613320, Time  0.234049
2021-09-15 21:15:11.916061 : Epoch  2, Batch   1825, Loss  0.887471, Average Loss  0.872359, Time  0.265699
2021-09-15 21:15:13.202010 : Epoch  3, Batch    516, Loss  0.611871, Average Loss  0.613289, Time  0.234157
2021-09-15 21:15:14.711075 : Epoch  3, Batch    517, Loss  0.617673, Average Loss  0.613299, Time  0.234280
2021-09-15 21:15:14.897428 : Epoch  2, Batch   1826, Loss  0.874854, Average Loss  0.872380, Time  0.265625
2021-09-15 21:15:16.213063 : Epoch  3, Batch    518, Loss  0.610862, Average Loss  0.613284, Time  0.234057
2021-09-15 21:15:17.715678 : Epoch  3, Batch    519, Loss  0.619368, Average Loss  0.613342, Time  0.234443
2021-09-15 21:15:17.871854 : Epoch  2, Batch   1827, Loss  0.872612, Average Loss  0.872465, Time  0.265846
2021-09-15 21:15:19.226129 : Epoch  3, Batch    520, Loss  0.618192, Average Loss  0.613350, Time  0.234468
2021-09-15 21:15:20.730041 : Epoch  3, Batch    521, Loss  0.608532, Average Loss  0.613299, Time  0.234213
2021-09-15 21:15:20.867779 : Epoch  2, Batch   1828, Loss  0.872558, Average Loss  0.872494, Time  0.280328
2021-09-15 21:15:22.234227 : Epoch  3, Batch    522, Loss  0.614744, Average Loss  0.613295, Time  0.234537
2021-09-15 21:15:23.748878 : Epoch  3, Batch    523, Loss  0.613228, Average Loss  0.613265, Time  0.234166
2021-09-15 21:15:23.858016 : Epoch  2, Batch   1829, Loss  0.871561, Average Loss  0.872444, Time  0.265499
2021-09-15 21:15:25.267847 : Epoch  3, Batch    524, Loss  0.617123, Average Loss  0.613299, Time  0.234333
2021-09-15 21:15:26.774842 : Epoch  3, Batch    525, Loss  0.620485, Average Loss  0.613339, Time  0.234353
2021-09-15 21:15:26.832951 : Epoch  2, Batch   1830, Loss  0.876015, Average Loss  0.872425, Time  0.265381
2021-09-15 21:15:28.279300 : Epoch  3, Batch    526, Loss  0.613704, Average Loss  0.613258, Time  0.234413
2021-09-15 21:15:29.841274 : Epoch  2, Batch   1831, Loss  0.873881, Average Loss  0.872395, Time  0.266392
2021-09-15 21:15:32.858005 : Epoch  2, Batch   1832, Loss  0.889093, Average Loss  0.872388, Time  0.265161
2021-09-15 21:15:35.848258 : Epoch  2, Batch   1833, Loss  0.883827, Average Loss  0.872471, Time  0.266141
2021-09-15 21:15:38.852023 : Epoch  2, Batch   1834, Loss  0.870672, Average Loss  0.872487, Time  0.266298
2021-09-15 21:15:41.869301 : Epoch  2, Batch   1835, Loss  0.875054, Average Loss  0.872449, Time  0.265702
2021-09-15 21:15:44.876749 : Epoch  2, Batch   1836, Loss  0.851254, Average Loss  0.872426, Time  0.266532
2021-09-15 21:15:47.874184 : Epoch  2, Batch   1837, Loss  0.847170, Average Loss  0.872324, Time  0.266165
2021-09-15 21:15:50.864667 : Epoch  2, Batch   1838, Loss  0.861379, Average Loss  0.872340, Time  0.265697
2021-09-15 21:15:53.899846 : Epoch  2, Batch   1839, Loss  0.853195, Average Loss  0.872276, Time  0.268116
2021-09-15 21:15:56.888955 : Epoch  2, Batch   1840, Loss  0.867780, Average Loss  0.872227, Time  0.265314
2021-09-15 21:15:59.886811 : Epoch  2, Batch   1841, Loss  0.872746, Average Loss  0.872245, Time  0.265833
2021-09-15 21:16:02.878625 : Epoch  2, Batch   1842, Loss  0.847795, Average Loss  0.872068, Time  0.266429
2021-09-15 21:16:05.907562 : Epoch  2, Batch   1843, Loss  0.871811, Average Loss  0.872038, Time  0.276622
2021-09-15 21:16:08.936335 : Epoch  2, Batch   1844, Loss  0.867894, Average Loss  0.872062, Time  0.267136
2021-09-15 21:16:24.213689 : CheckPoint: Validation Loss  0.00025069, Best Loss  0.00024924
2021-09-15 21:16:25.726094 : Epoch  3, Batch    527, Loss  0.602164, Average Loss  0.613231, Time  0.234812
2021-09-15 21:16:27.252755 : Epoch  3, Batch    528, Loss  0.611374, Average Loss  0.613223, Time  0.234797
2021-09-15 21:16:28.771941 : Epoch  3, Batch    529, Loss  0.603236, Average Loss  0.613133, Time  0.234083
2021-09-15 21:16:30.291835 : Epoch  3, Batch    530, Loss  0.612823, Average Loss  0.613134, Time  0.234183
2021-09-15 21:16:31.818753 : Epoch  3, Batch    531, Loss  0.614108, Average Loss  0.613185, Time  0.234423
2021-09-15 21:16:33.327918 : Epoch  3, Batch    532, Loss  0.608988, Average Loss  0.613208, Time  0.233952
2021-09-15 21:16:34.845916 : Epoch  3, Batch    533, Loss  0.613057, Average Loss  0.613226, Time  0.235228
2021-09-15 21:16:36.365737 : Epoch  3, Batch    534, Loss  0.612144, Average Loss  0.613207, Time  0.234625
2021-09-15 21:16:37.879066 : Epoch  3, Batch    535, Loss  0.609267, Average Loss  0.613185, Time  0.234049
2021-09-15 21:16:39.403741 : Epoch  3, Batch    536, Loss  0.611435, Average Loss  0.613062, Time  0.235694
2021-09-15 21:16:40.922090 : Epoch  3, Batch    537, Loss  0.621304, Average Loss  0.613121, Time  0.234139
2021-09-15 21:16:42.435081 : Epoch  3, Batch    538, Loss  0.607193, Average Loss  0.613151, Time  0.234180
2021-09-15 21:16:43.953975 : Epoch  3, Batch    539, Loss  0.616064, Average Loss  0.613152, Time  0.234392
2021-09-15 21:16:45.467797 : Epoch  3, Batch    540, Loss  0.611443, Average Loss  0.613130, Time  0.235072
2021-09-15 21:16:46.980756 : Epoch  3, Batch    541, Loss  0.621598, Average Loss  0.613169, Time  0.234207
2021-09-15 21:16:48.497110 : Epoch  3, Batch    542, Loss  0.619534, Average Loss  0.613228, Time  0.234763
2021-09-15 21:16:50.019712 : Epoch  3, Batch    543, Loss  0.618750, Average Loss  0.613239, Time  0.234331
2021-09-15 21:16:51.538261 : Epoch  3, Batch    544, Loss  0.607275, Average Loss  0.613215, Time  0.234532
2021-09-15 21:16:53.053040 : Epoch  3, Batch    545, Loss  0.611606, Average Loss  0.613211, Time  0.234603
2021-09-15 21:16:54.569987 : Epoch  3, Batch    546, Loss  0.610162, Average Loss  0.613223, Time  0.234249
2021-09-15 21:16:56.075706 : Epoch  3, Batch    547, Loss  0.616731, Average Loss  0.613244, Time  0.233987
2021-09-15 21:16:57.584313 : Epoch  3, Batch    548, Loss  0.599471, Average Loss  0.613192, Time  0.235191
2021-09-15 21:16:59.100050 : Epoch  3, Batch    549, Loss  0.605298, Average Loss  0.613161, Time  0.234184
2021-09-15 21:17:00.613005 : Epoch  3, Batch    550, Loss  0.602818, Average Loss  0.613070, Time  0.234277
2021-09-15 21:17:02.128739 : Epoch  3, Batch    551, Loss  0.607350, Average Loss  0.613070, Time  0.234182
2021-09-15 21:17:03.646714 : Epoch  3, Batch    552, Loss  0.603349, Average Loss  0.613066, Time  0.234317
2021-09-15 21:17:05.161005 : Epoch  3, Batch    553, Loss  0.615175, Average Loss  0.613038, Time  0.234650
2021-09-15 21:17:06.675169 : Epoch  3, Batch    554, Loss  0.600398, Average Loss  0.613000, Time  0.234367
2021-09-15 21:17:08.189709 : Epoch  3, Batch    555, Loss  0.622250, Average Loss  0.613052, Time  0.234181
2021-09-15 21:17:09.704270 : Epoch  3, Batch    556, Loss  0.606146, Average Loss  0.613065, Time  0.234412
2021-09-15 21:17:11.220241 : Epoch  3, Batch    557, Loss  0.617074, Average Loss  0.613051, Time  0.235487
2021-09-15 21:17:12.734090 : Epoch  3, Batch    558, Loss  0.616426, Average Loss  0.613081, Time  0.234569
2021-09-15 21:17:14.251217 : Epoch  3, Batch    559, Loss  0.616631, Average Loss  0.613117, Time  0.234302
2021-09-15 21:17:15.758051 : Epoch  3, Batch    560, Loss  0.610045, Average Loss  0.613096, Time  0.234365
2021-09-15 21:17:17.270827 : Epoch  3, Batch    561, Loss  0.614952, Average Loss  0.613138, Time  0.234067
2021-09-15 21:17:18.784245 : Epoch  3, Batch    562, Loss  0.609053, Average Loss  0.613088, Time  0.234132
2021-09-15 21:17:20.300697 : Epoch  3, Batch    563, Loss  0.619417, Average Loss  0.613198, Time  0.234331
2021-09-15 21:17:21.821833 : Epoch  3, Batch    564, Loss  0.611104, Average Loss  0.613147, Time  0.234364
2021-09-15 21:17:23.340067 : Epoch  3, Batch    565, Loss  0.614361, Average Loss  0.613147, Time  0.234324
2021-09-15 21:17:24.857369 : Epoch  3, Batch    566, Loss  0.607385, Average Loss  0.613146, Time  0.234965
2021-09-15 21:17:26.384080 : Epoch  3, Batch    567, Loss  0.617143, Average Loss  0.613141, Time  0.235048
2021-09-15 21:17:27.937117 : Epoch  3, Batch    568, Loss  0.619856, Average Loss  0.613153, Time  0.234321
2021-09-15 21:17:29.450249 : Epoch  3, Batch    569, Loss  0.624019, Average Loss  0.613217, Time  0.234052
2021-09-15 21:17:30.976073 : Epoch  3, Batch    570, Loss  0.619120, Average Loss  0.613285, Time  0.234675
2021-09-15 21:17:32.500237 : Epoch  3, Batch    571, Loss  0.612888, Average Loss  0.613303, Time  0.234291
2021-09-15 21:17:34.016297 : Epoch  3, Batch    572, Loss  0.612071, Average Loss  0.613315, Time  0.234202
2021-09-15 21:17:35.530754 : Epoch  3, Batch    573, Loss  0.609974, Average Loss  0.613335, Time  0.234246
2021-09-15 21:17:37.056056 : Epoch  3, Batch    574, Loss  0.615186, Average Loss  0.613333, Time  0.233964
2021-09-15 21:17:38.568044 : Epoch  3, Batch    575, Loss  0.603622, Average Loss  0.613260, Time  0.234026
2021-09-15 21:17:40.090149 : Epoch  3, Batch    576, Loss  0.624031, Average Loss  0.613342, Time  0.234025
2021-09-15 21:17:41.612715 : Epoch  3, Batch    577, Loss  0.609391, Average Loss  0.613334, Time  0.234149
2021-09-15 21:17:43.129254 : Epoch  3, Batch    578, Loss  0.604029, Average Loss  0.613302, Time  0.234307
2021-09-15 21:17:44.643261 : Epoch  3, Batch    579, Loss  0.619194, Average Loss  0.613295, Time  0.234187
2021-09-15 21:17:46.161719 : Epoch  3, Batch    580, Loss  0.609414, Average Loss  0.613301, Time  0.234336
2021-09-15 21:17:47.683320 : Epoch  3, Batch    581, Loss  0.622020, Average Loss  0.613355, Time  0.234721
2021-09-15 21:17:49.206052 : Epoch  3, Batch    582, Loss  0.611281, Average Loss  0.613334, Time  0.234228
2021-09-15 21:17:50.720051 : Epoch  3, Batch    583, Loss  0.615367, Average Loss  0.613295, Time  0.234169
2021-09-15 21:17:52.233266 : Epoch  3, Batch    584, Loss  0.608932, Average Loss  0.613253, Time  0.234422
2021-09-15 21:17:53.753342 : Epoch  3, Batch    585, Loss  0.591854, Average Loss  0.613194, Time  0.234411
2021-09-15 21:17:55.275034 : Epoch  3, Batch    586, Loss  0.609191, Average Loss  0.613183, Time  0.236761
2021-09-15 21:17:56.791219 : Epoch  3, Batch    587, Loss  0.604100, Average Loss  0.613137, Time  0.234440
2021-09-15 21:17:58.303329 : Epoch  3, Batch    588, Loss  0.613461, Average Loss  0.613126, Time  0.234324
2021-09-15 21:17:59.820263 : Epoch  3, Batch    589, Loss  0.609816, Average Loss  0.613099, Time  0.233914
2021-09-15 21:18:01.337014 : Epoch  3, Batch    590, Loss  0.605508, Average Loss  0.613073, Time  0.234633
2021-09-15 21:18:02.849063 : Epoch  3, Batch    591, Loss  0.611081, Average Loss  0.613066, Time  0.234175
2021-09-15 21:18:04.373055 : Epoch  3, Batch    592, Loss  0.607849, Average Loss  0.613073, Time  0.234761
2021-09-15 21:18:05.893856 : Epoch  3, Batch    593, Loss  0.613821, Average Loss  0.613110, Time  0.234512
2021-09-15 21:18:07.408338 : Epoch  3, Batch    594, Loss  0.610262, Average Loss  0.613060, Time  0.234113
2021-09-15 21:18:08.924104 : Epoch  3, Batch    595, Loss  0.615439, Average Loss  0.613121, Time  0.234608
2021-09-15 21:18:10.446983 : Epoch  3, Batch    596, Loss  0.616545, Average Loss  0.613092, Time  0.234339
2021-09-15 21:18:14.260143 : Epoch  3, Batch    597, Loss  0.595860, Average Loss  0.612976, Time  0.269761
2021-09-15 21:18:15.777092 : Epoch  3, Batch    598, Loss  0.600958, Average Loss  0.612993, Time  0.251228
2021-09-15 21:18:17.296098 : Epoch  3, Batch    599, Loss  0.602636, Average Loss  0.612983, Time  0.239896
2021-09-15 21:18:18.811011 : Epoch  3, Batch    600, Loss  0.626627, Average Loss  0.613057, Time  0.234404
2021-09-15 21:18:20.322057 : Epoch  3, Batch    601, Loss  0.611194, Average Loss  0.613022, Time  0.234196
2021-09-15 21:18:21.833790 : Epoch  3, Batch    602, Loss  0.610470, Average Loss  0.613050, Time  0.234227
2021-09-15 21:18:23.339757 : Epoch  3, Batch    603, Loss  0.616071, Average Loss  0.613150, Time  0.234647
2021-09-15 21:18:24.845079 : Epoch  3, Batch    604, Loss  0.618482, Average Loss  0.613184, Time  0.234128
2021-09-15 21:18:26.362689 : Epoch  3, Batch    605, Loss  0.619440, Average Loss  0.613242, Time  0.234385
2021-09-15 21:18:27.888987 : Epoch  3, Batch    606, Loss  0.617510, Average Loss  0.613301, Time  0.234056
2021-09-15 21:18:29.402985 : Epoch  3, Batch    607, Loss  0.608838, Average Loss  0.613247, Time  0.234174
2021-09-15 21:18:30.917820 : Epoch  3, Batch    608, Loss  0.612162, Average Loss  0.613257, Time  0.234223
2021-09-15 21:18:32.430774 : Epoch  3, Batch    609, Loss  0.599866, Average Loss  0.613164, Time  0.234104
2021-09-15 21:18:33.951939 : Epoch  3, Batch    610, Loss  0.604960, Average Loss  0.613138, Time  0.234468
2021-09-15 21:18:35.462991 : Epoch  3, Batch    611, Loss  0.616777, Average Loss  0.613175, Time  0.233954
2021-09-15 21:18:36.973999 : Epoch  3, Batch    612, Loss  0.618721, Average Loss  0.613226, Time  0.234254
2021-09-15 21:18:38.488006 : Epoch  3, Batch    613, Loss  0.606943, Average Loss  0.613188, Time  0.234354
2021-09-15 21:18:39.996840 : Epoch  3, Batch    614, Loss  0.619875, Average Loss  0.613273, Time  0.234545
2021-09-15 21:18:41.504762 : Epoch  3, Batch    615, Loss  0.625993, Average Loss  0.613427, Time  0.234205
2021-09-15 21:18:43.024141 : Epoch  3, Batch    616, Loss  0.613678, Average Loss  0.613463, Time  0.234960
2021-09-15 21:18:44.542087 : Epoch  3, Batch    617, Loss  0.609098, Average Loss  0.613446, Time  0.234379
2021-09-15 21:18:46.048777 : Epoch  3, Batch    618, Loss  0.610913, Average Loss  0.613399, Time  0.234431
2021-09-15 21:18:47.563884 : Epoch  3, Batch    619, Loss  0.618087, Average Loss  0.613428, Time  0.234854
2021-09-15 21:18:49.073220 : Epoch  3, Batch    620, Loss  0.606873, Average Loss  0.613426, Time  0.234353
2021-09-15 21:18:50.584776 : Epoch  3, Batch    621, Loss  0.611079, Average Loss  0.613394, Time  0.234288
2021-09-15 21:18:52.099234 : Epoch  3, Batch    622, Loss  0.601136, Average Loss  0.613509, Time  0.234160
2021-09-15 21:18:53.616978 : Epoch  3, Batch    623, Loss  0.607941, Average Loss  0.613504, Time  0.234277
2021-09-15 21:18:55.136219 : Epoch  3, Batch    624, Loss  0.613264, Average Loss  0.613512, Time  0.234478
2021-09-15 21:18:56.649409 : Epoch  3, Batch    625, Loss  0.614248, Average Loss  0.613518, Time  0.234233
2021-09-15 21:18:58.160069 : Epoch  3, Batch    626, Loss  0.611208, Average Loss  0.613436, Time  0.235169
2021-09-15 21:19:54.253691 : CheckPoint: Validation Loss  0.00025637, Best Loss  0.00024924
2021-09-15 21:19:55.774253 : Epoch  3, Batch    627, Loss  0.613131, Average Loss  0.613411, Time  0.234653
2021-09-15 21:19:57.306058 : Epoch  3, Batch    628, Loss  0.611924, Average Loss  0.613312, Time  0.234243
2021-09-15 21:19:58.823824 : Epoch  3, Batch    629, Loss  0.611436, Average Loss  0.613221, Time  0.234304
2021-09-15 21:20:00.328298 : Epoch  3, Batch    630, Loss  0.606972, Average Loss  0.613138, Time  0.234698
2021-09-15 21:20:01.842982 : Epoch  3, Batch    631, Loss  0.614507, Average Loss  0.613101, Time  0.234135
2021-09-15 21:20:03.373838 : Epoch  3, Batch    632, Loss  0.613771, Average Loss  0.613081, Time  0.234682
2021-09-15 21:20:04.888876 : Epoch  3, Batch    633, Loss  0.617211, Average Loss  0.613037, Time  0.234197
2021-09-15 21:20:06.407923 : Epoch  3, Batch    634, Loss  0.618035, Average Loss  0.613005, Time  0.234788
2021-09-15 21:20:07.916249 : Epoch  3, Batch    635, Loss  0.615213, Average Loss  0.612981, Time  0.234383
2021-09-15 21:20:09.437003 : Epoch  3, Batch    636, Loss  0.599506, Average Loss  0.612830, Time  0.234381
2021-09-15 21:20:10.951760 : Epoch  3, Batch    637, Loss  0.611437, Average Loss  0.612828, Time  0.234613
2021-09-15 21:20:12.462330 : Epoch  3, Batch    638, Loss  0.616176, Average Loss  0.612841, Time  0.234001
2021-09-15 21:20:13.984814 : Epoch  3, Batch    639, Loss  0.615333, Average Loss  0.612848, Time  0.234119
2021-09-15 21:20:15.498733 : Epoch  3, Batch    640, Loss  0.601232, Average Loss  0.612720, Time  0.234154
2021-09-15 21:20:17.017119 : Epoch  3, Batch    641, Loss  0.614839, Average Loss  0.612720, Time  0.234185
2021-09-15 21:20:18.537333 : Epoch  3, Batch    642, Loss  0.614318, Average Loss  0.612770, Time  0.234371
2021-09-15 21:20:20.055068 : Epoch  3, Batch    643, Loss  0.617264, Average Loss  0.612799, Time  0.234138
2021-09-15 21:20:21.562860 : Epoch  3, Batch    644, Loss  0.610412, Average Loss  0.612734, Time  0.234365
2021-09-15 21:20:23.085081 : Epoch  3, Batch    645, Loss  0.610087, Average Loss  0.612683, Time  0.234193
2021-09-15 21:20:24.608245 : Epoch  3, Batch    646, Loss  0.599853, Average Loss  0.612568, Time  0.234440
2021-09-15 21:20:26.131850 : Epoch  3, Batch    647, Loss  0.605850, Average Loss  0.612515, Time  0.234765
2021-09-15 21:20:27.641046 : Epoch  3, Batch    648, Loss  0.616469, Average Loss  0.612503, Time  0.234198
2021-09-15 21:20:29.146777 : Epoch  3, Batch    649, Loss  0.604874, Average Loss  0.612489, Time  0.234166
2021-09-15 21:20:30.649853 : Epoch  3, Batch    650, Loss  0.627469, Average Loss  0.612498, Time  0.234568
2021-09-15 21:20:32.159034 : Epoch  3, Batch    651, Loss  0.616300, Average Loss  0.612497, Time  0.234203
2021-09-15 21:20:33.670836 : Epoch  3, Batch    652, Loss  0.607723, Average Loss  0.612447, Time  0.234626
2021-09-15 21:20:35.184988 : Epoch  3, Batch    653, Loss  0.618205, Average Loss  0.612458, Time  0.234478
2021-09-15 21:20:36.703059 : Epoch  3, Batch    654, Loss  0.613982, Average Loss  0.612475, Time  0.234092
2021-09-15 21:20:38.214731 : Epoch  3, Batch    655, Loss  0.609601, Average Loss  0.612419, Time  0.234198
2021-09-15 21:20:39.739356 : Epoch  3, Batch    656, Loss  0.616742, Average Loss  0.612453, Time  0.234747
2021-09-15 21:20:41.259059 : Epoch  3, Batch    657, Loss  0.620560, Average Loss  0.612493, Time  0.234117
2021-09-15 21:20:42.774287 : Epoch  3, Batch    658, Loss  0.609815, Average Loss  0.612492, Time  0.234159
2021-09-15 21:20:44.300977 : Epoch  3, Batch    659, Loss  0.608166, Average Loss  0.612503, Time  0.235114
2021-09-15 21:20:45.814311 : Epoch  3, Batch    660, Loss  0.617590, Average Loss  0.612533, Time  0.234358
2021-09-15 21:20:47.325049 : Epoch  3, Batch    661, Loss  0.614363, Average Loss  0.612588, Time  0.235602
2021-09-15 21:20:48.837744 : Epoch  3, Batch    662, Loss  0.606342, Average Loss  0.612520, Time  0.234263
2021-09-15 21:20:49.071015 : CheckPoint: Validation Loss  0.00030043, Best Loss  0.00029457
2021-09-15 21:20:50.343134 : Epoch  3, Batch    663, Loss  0.601884, Average Loss  0.612424, Time  0.234059
2021-09-15 21:20:51.854263 : Epoch  3, Batch    664, Loss  0.619435, Average Loss  0.612470, Time  0.234284
2021-09-15 21:20:52.064298 : Epoch  2, Batch   1845, Loss  0.873311, Average Loss  0.871990, Time  0.267633
2021-09-15 21:20:53.363989 : Epoch  3, Batch    665, Loss  0.610765, Average Loss  0.612389, Time  0.234022
2021-09-15 21:20:54.877976 : Epoch  3, Batch    666, Loss  0.609162, Average Loss  0.612340, Time  0.234217
2021-09-15 21:20:55.082362 : Epoch  2, Batch   1846, Loss  0.870628, Average Loss  0.871973, Time  0.265206
2021-09-15 21:20:56.390748 : Epoch  3, Batch    667, Loss  0.616875, Average Loss  0.612417, Time  0.234367
2021-09-15 21:20:57.900312 : Epoch  3, Batch    668, Loss  0.601331, Average Loss  0.612354, Time  0.234025
2021-09-15 21:20:58.101177 : Epoch  2, Batch   1847, Loss  0.868090, Average Loss  0.871910, Time  0.265331
2021-09-15 21:20:59.411969 : Epoch  3, Batch    669, Loss  0.616993, Average Loss  0.612354, Time  0.234062
2021-09-15 21:21:00.939977 : Epoch  3, Batch    670, Loss  0.610160, Average Loss  0.612365, Time  0.234452
2021-09-15 21:21:01.090211 : Epoch  2, Batch   1848, Loss  0.876837, Average Loss  0.871948, Time  0.265787
2021-09-15 21:21:02.457003 : Epoch  3, Batch    671, Loss  0.610504, Average Loss  0.612308, Time  0.235801
2021-09-15 21:21:03.968983 : Epoch  3, Batch    672, Loss  0.612172, Average Loss  0.612300, Time  0.233937
2021-09-15 21:21:04.074423 : Epoch  2, Batch   1849, Loss  0.894450, Average Loss  0.871966, Time  0.265961
2021-09-15 21:21:05.484984 : Epoch  3, Batch    673, Loss  0.611502, Average Loss  0.612297, Time  0.234084
2021-09-15 21:21:06.998832 : Epoch  3, Batch    674, Loss  0.613299, Average Loss  0.612338, Time  0.234521
2021-09-15 21:21:07.095628 : Epoch  2, Batch   1850, Loss  0.857731, Average Loss  0.871944, Time  0.265011
2021-09-15 21:21:08.504054 : Epoch  3, Batch    675, Loss  0.625174, Average Loss  0.612381, Time  0.234066
2021-09-15 21:21:10.008767 : Epoch  3, Batch    676, Loss  0.621927, Average Loss  0.612445, Time  0.234107
2021-09-15 21:21:10.093337 : Epoch  2, Batch   1851, Loss  0.862558, Average Loss  0.871909, Time  0.265445
2021-09-15 21:21:11.546070 : Epoch  3, Batch    677, Loss  0.617518, Average Loss  0.612429, Time  0.235660
2021-09-15 21:21:13.056722 : Epoch  3, Batch    678, Loss  0.600513, Average Loss  0.612395, Time  0.234200
2021-09-15 21:21:13.096525 : Epoch  2, Batch   1852, Loss  0.866810, Average Loss  0.871887, Time  0.265493
2021-09-15 21:21:14.568922 : Epoch  3, Batch    679, Loss  0.611839, Average Loss  0.612345, Time  0.234910
2021-09-15 21:21:16.080738 : Epoch  3, Batch    680, Loss  0.614311, Average Loss  0.612366, Time  0.234146
2021-09-15 21:21:16.111043 : Epoch  2, Batch   1853, Loss  0.887699, Average Loss  0.872081, Time  0.267010
2021-09-15 21:21:17.594146 : Epoch  3, Batch    681, Loss  0.614958, Average Loss  0.612334, Time  0.234109
2021-09-15 21:21:19.095439 : Epoch  2, Batch   1854, Loss  0.864069, Average Loss  0.872131, Time  0.264772
2021-09-15 21:21:19.105770 : Epoch  3, Batch    682, Loss  0.620200, Average Loss  0.612356, Time  0.234303
2021-09-15 21:21:20.635311 : Epoch  3, Batch    683, Loss  0.617016, Average Loss  0.612382, Time  0.234365
2021-09-15 21:21:22.086676 : Epoch  2, Batch   1855, Loss  0.862627, Average Loss  0.872171, Time  0.266026
2021-09-15 21:21:22.145825 : Epoch  3, Batch    684, Loss  0.609353, Average Loss  0.612381, Time  0.234274
2021-09-15 21:21:23.667085 : Epoch  3, Batch    685, Loss  0.613992, Average Loss  0.612430, Time  0.234214
2021-09-15 21:21:25.082188 : Epoch  2, Batch   1856, Loss  0.850065, Average Loss  0.872108, Time  0.277691
2021-09-15 21:21:25.116084 : Saving Model after 2-th Epoch.
2021-09-15 21:21:25.186322 : Epoch  3, Batch    686, Loss  0.602540, Average Loss  0.612385, Time  0.234174
2021-09-15 21:21:26.078156 : Epoch Finished.
2021-09-15 21:21:26.707010 : Epoch  3, Batch    687, Loss  0.613209, Average Loss  0.612394, Time  0.234976
2021-09-15 21:21:28.206972 : Epoch  3, Batch    688, Loss  0.621435, Average Loss  0.612413, Time  0.234198
2021-09-15 21:21:29.729080 : Epoch  3, Batch    689, Loss  0.607083, Average Loss  0.612382, Time  0.234233
2021-09-15 21:21:31.291802 : Epoch  3, Batch    690, Loss  0.601663, Average Loss  0.612324, Time  0.234540
2021-09-15 21:21:32.806057 : Epoch  3, Batch    691, Loss  0.598883, Average Loss  0.612258, Time  0.234111
2021-09-15 21:21:33.943646 : Batch Shuffled
2021-09-15 21:21:34.311708 : Epoch  3, Batch    692, Loss  0.605387, Average Loss  0.612181, Time  0.234591
2021-09-15 21:21:35.830067 : Epoch  3, Batch    693, Loss  0.607700, Average Loss  0.612168, Time  0.234276
2021-09-15 21:21:36.922405 : Epoch  3, Batch      1, Loss  0.852947, Average Loss  0.872023, Time  0.265665
2021-09-15 21:21:37.353080 : Epoch  3, Batch    694, Loss  0.615068, Average Loss  0.612205, Time  0.234727
2021-09-15 21:21:38.847266 : Epoch  3, Batch    695, Loss  0.614772, Average Loss  0.612214, Time  0.234580
2021-09-15 21:21:39.924809 : Epoch  3, Batch      2, Loss  0.880276, Average Loss  0.872056, Time  0.266368
2021-09-15 21:21:40.353924 : Epoch  3, Batch    696, Loss  0.609798, Average Loss  0.612137, Time  0.234323
2021-09-15 21:21:42.934571 : Epoch  3, Batch      3, Loss  0.866288, Average Loss  0.871948, Time  0.266035
2021-09-15 21:21:44.135035 : Epoch  3, Batch    697, Loss  0.613283, Average Loss  0.612131, Time  0.268958
2021-09-15 21:21:45.641994 : Epoch  3, Batch    698, Loss  0.606007, Average Loss  0.612079, Time  0.251009
2021-09-15 21:21:45.932979 : Epoch  3, Batch      4, Loss  0.878470, Average Loss  0.872024, Time  0.265315
2021-09-15 21:21:47.143187 : Epoch  3, Batch    699, Loss  0.610333, Average Loss  0.612101, Time  0.239564
2021-09-15 21:21:48.634714 : Epoch  3, Batch    700, Loss  0.624591, Average Loss  0.612181, Time  0.234199
2021-09-15 21:21:48.923372 : Epoch  3, Batch      5, Loss  0.882348, Average Loss  0.872043, Time  0.265487
2021-09-15 21:21:50.126070 : Epoch  3, Batch    701, Loss  0.613008, Average Loss  0.612205, Time  0.234856
2021-09-15 21:21:51.612758 : Epoch  3, Batch    702, Loss  0.608627, Average Loss  0.612145, Time  0.234151
2021-09-15 21:21:51.918043 : Epoch  3, Batch      6, Loss  0.881382, Average Loss  0.872103, Time  0.264843
2021-09-15 21:21:53.108266 : Epoch  3, Batch    703, Loss  0.617755, Average Loss  0.612138, Time  0.233981
2021-09-15 21:21:54.594203 : Epoch  3, Batch    704, Loss  0.606416, Average Loss  0.612126, Time  0.234097
2021-09-15 21:21:54.933358 : Epoch  3, Batch      7, Loss  0.848913, Average Loss  0.872004, Time  0.265790
2021-09-15 21:21:56.094984 : Epoch  3, Batch    705, Loss  0.616667, Average Loss  0.612199, Time  0.234305
2021-09-15 21:21:57.590991 : Epoch  3, Batch    706, Loss  0.604713, Average Loss  0.612156, Time  0.234401
2021-09-15 21:21:57.917461 : Epoch  3, Batch      8, Loss  0.858655, Average Loss  0.871971, Time  0.265130
2021-09-15 21:21:59.087274 : Epoch  3, Batch    707, Loss  0.614569, Average Loss  0.612115, Time  0.234305
2021-09-15 21:22:00.597715 : Epoch  3, Batch    708, Loss  0.613384, Average Loss  0.612028, Time  0.234652
2021-09-15 21:22:00.911807 : Epoch  3, Batch      9, Loss  0.858290, Average Loss  0.871914, Time  0.264777
2021-09-15 21:22:02.093020 : Epoch  3, Batch    709, Loss  0.621355, Average Loss  0.612115, Time  0.234386
2021-09-15 21:22:03.588548 : Epoch  3, Batch    710, Loss  0.612225, Average Loss  0.612109, Time  0.234305
2021-09-15 21:22:03.893165 : Epoch  3, Batch     10, Loss  0.867292, Average Loss  0.871925, Time  0.266521
2021-09-15 21:22:05.103806 : Epoch  3, Batch    711, Loss  0.605628, Average Loss  0.612111, Time  0.234169
2021-09-15 21:22:06.599302 : Epoch  3, Batch    712, Loss  0.603388, Average Loss  0.612031, Time  0.233917
2021-09-15 21:22:06.914869 : Epoch  3, Batch     11, Loss  0.870572, Average Loss  0.871912, Time  0.266279
2021-09-15 21:22:08.106794 : Epoch  3, Batch    713, Loss  0.613451, Average Loss  0.612017, Time  0.235262
2021-09-15 21:22:09.614023 : Epoch  3, Batch    714, Loss  0.600451, Average Loss  0.612029, Time  0.234038
2021-09-15 21:22:09.939311 : Epoch  3, Batch     12, Loss  0.852731, Average Loss  0.871812, Time  0.266779
2021-09-15 21:22:11.115104 : Epoch  3, Batch    715, Loss  0.616831, Average Loss  0.612050, Time  0.234417
2021-09-15 21:22:12.623005 : Epoch  3, Batch    716, Loss  0.610289, Average Loss  0.612042, Time  0.234163
2021-09-15 21:22:12.955540 : Epoch  3, Batch     13, Loss  0.876723, Average Loss  0.871773, Time  0.276591
2021-09-15 21:22:14.126332 : Epoch  3, Batch    717, Loss  0.611634, Average Loss  0.612012, Time  0.234254
2021-09-15 21:22:15.624208 : Epoch  3, Batch    718, Loss  0.614411, Average Loss  0.612029, Time  0.234249
2021-09-15 21:22:15.988414 : Epoch  3, Batch     14, Loss  0.872508, Average Loss  0.871767, Time  0.266266
2021-09-15 21:22:17.125973 : Epoch  3, Batch    719, Loss  0.607253, Average Loss  0.611969, Time  0.234015
2021-09-15 21:22:18.622994 : Epoch  3, Batch    720, Loss  0.608597, Average Loss  0.611921, Time  0.234142
2021-09-15 21:22:18.988945 : Epoch  3, Batch     15, Loss  0.882163, Average Loss  0.871856, Time  0.267622
2021-09-15 21:22:20.126713 : Epoch  3, Batch    721, Loss  0.618932, Average Loss  0.611973, Time  0.234333
2021-09-15 21:22:21.633073 : Epoch  3, Batch    722, Loss  0.617517, Average Loss  0.611987, Time  0.234730
2021-09-15 21:22:22.000384 : Epoch  3, Batch     16, Loss  0.860528, Average Loss  0.871775, Time  0.265770
2021-09-15 21:22:23.130817 : Epoch  3, Batch    723, Loss  0.609618, Average Loss  0.611969, Time  0.235026
2021-09-15 21:22:24.626073 : Epoch  3, Batch    724, Loss  0.608647, Average Loss  0.611926, Time  0.233897
2021-09-15 21:22:24.997781 : Epoch  3, Batch     17, Loss  0.889417, Average Loss  0.871906, Time  0.266232
2021-09-15 21:22:26.134767 : Epoch  3, Batch    725, Loss  0.611423, Average Loss  0.611881, Time  0.234885
2021-09-15 21:22:27.632099 : Epoch  3, Batch    726, Loss  0.616923, Average Loss  0.611897, Time  0.234400
2021-09-15 21:22:28.019701 : Epoch  3, Batch     18, Loss  0.895628, Average Loss  0.871979, Time  0.266269
2021-09-15 21:22:31.015057 : Epoch  3, Batch     19, Loss  0.869733, Average Loss  0.871891, Time  0.265510
2021-09-15 21:22:34.008983 : Epoch  3, Batch     20, Loss  0.871771, Average Loss  0.871973, Time  0.265820
2021-09-15 21:22:37.040363 : Epoch  3, Batch     21, Loss  0.871382, Average Loss  0.871821, Time  0.265739
2021-09-15 21:22:40.056346 : Epoch  3, Batch     22, Loss  0.862701, Average Loss  0.871771, Time  0.265049
2021-09-15 21:22:43.050330 : Epoch  3, Batch     23, Loss  0.844179, Average Loss  0.871665, Time  0.265647
2021-09-15 21:22:46.045920 : Epoch  3, Batch     24, Loss  0.858866, Average Loss  0.871528, Time  0.266987
2021-09-15 21:22:49.063022 : Epoch  3, Batch     25, Loss  0.867034, Average Loss  0.871456, Time  0.266414
2021-09-15 21:22:52.096281 : Epoch  3, Batch     26, Loss  0.862926, Average Loss  0.871421, Time  0.265449
2021-09-15 21:22:55.082136 : Epoch  3, Batch     27, Loss  0.867898, Average Loss  0.871248, Time  0.264856
2021-09-15 21:22:58.095429 : Epoch  3, Batch     28, Loss  0.864367, Average Loss  0.871262, Time  0.272559
2021-09-15 21:23:01.121368 : Epoch  3, Batch     29, Loss  0.885208, Average Loss  0.871258, Time  0.265570
2021-09-15 21:23:04.165000 : Epoch  3, Batch     30, Loss  0.884709, Average Loss  0.871299, Time  0.266820
2021-09-15 21:23:07.167782 : Epoch  3, Batch     31, Loss  0.854367, Average Loss  0.871224, Time  0.266107
2021-09-15 21:23:10.207158 : Epoch  3, Batch     32, Loss  0.854846, Average Loss  0.871099, Time  0.265926
2021-09-15 21:23:13.223956 : Epoch  3, Batch     33, Loss  0.875566, Average Loss  0.871111, Time  0.265766
2021-09-15 21:23:16.251432 : Epoch  3, Batch     34, Loss  0.871627, Average Loss  0.871081, Time  0.267272
2021-09-15 21:23:19.261768 : Epoch  3, Batch     35, Loss  0.860934, Average Loss  0.871079, Time  0.266674
2021-09-15 21:23:22.253233 : Epoch  3, Batch     36, Loss  0.888616, Average Loss  0.871057, Time  0.266322
2021-09-15 21:23:23.776695 : CheckPoint: Validation Loss  0.00025644, Best Loss  0.00024924
2021-09-15 21:23:25.299214 : Epoch  3, Batch     37, Loss  0.878298, Average Loss  0.871100, Time  0.266294
2021-09-15 21:23:25.300008 : Epoch  3, Batch    727, Loss  0.616679, Average Loss  0.611970, Time  0.251924
2021-09-15 21:23:26.832014 : Epoch  3, Batch    728, Loss  0.590087, Average Loss  0.611863, Time  0.234195
2021-09-15 21:23:28.306313 : Epoch  3, Batch     38, Loss  0.855918, Average Loss  0.871032, Time  0.265497
2021-09-15 21:23:28.341758 : Epoch  3, Batch    729, Loss  0.618672, Average Loss  0.611940, Time  0.234964
2021-09-15 21:23:29.842025 : Epoch  3, Batch    730, Loss  0.608356, Average Loss  0.611918, Time  0.234383
2021-09-15 21:23:31.321744 : Epoch  3, Batch     39, Loss  0.868273, Average Loss  0.871095, Time  0.267258
2021-09-15 21:23:31.355059 : Epoch  3, Batch    731, Loss  0.606009, Average Loss  0.611877, Time  0.235110
2021-09-15 21:23:32.864118 : Epoch  3, Batch    732, Loss  0.604137, Average Loss  0.611853, Time  0.234464
2021-09-15 21:23:34.324479 : Epoch  3, Batch     40, Loss  0.876279, Average Loss  0.871077, Time  0.265196
2021-09-15 21:23:34.369767 : Epoch  3, Batch    733, Loss  0.613419, Average Loss  0.611855, Time  0.234179
2021-09-15 21:23:35.872005 : Epoch  3, Batch    734, Loss  0.619913, Average Loss  0.611894, Time  0.235067
2021-09-15 21:23:37.336653 : Epoch  3, Batch     41, Loss  0.878816, Average Loss  0.871088, Time  0.266667
2021-09-15 21:23:37.378996 : Epoch  3, Batch    735, Loss  0.615281, Average Loss  0.611924, Time  0.234122
2021-09-15 21:23:38.882061 : Epoch  3, Batch    736, Loss  0.609498, Average Loss  0.611914, Time  0.233929
2021-09-15 21:23:40.334011 : Epoch  3, Batch     42, Loss  0.876126, Average Loss  0.871030, Time  0.264762
2021-09-15 21:23:40.388344 : Epoch  3, Batch    737, Loss  0.613682, Average Loss  0.611876, Time  0.234251
2021-09-15 21:23:41.889816 : Epoch  3, Batch    738, Loss  0.618272, Average Loss  0.611932, Time  0.234690
2021-09-15 21:23:43.363607 : Epoch  3, Batch     43, Loss  0.870568, Average Loss  0.871009, Time  0.273478
2021-09-15 21:23:43.383031 : Epoch  3, Batch    739, Loss  0.605592, Average Loss  0.611879, Time  0.233906
2021-09-15 21:23:44.899334 : Epoch  3, Batch    740, Loss  0.606961, Average Loss  0.611857, Time  0.234249
2021-09-15 21:23:46.358154 : Epoch  3, Batch     44, Loss  0.868816, Average Loss  0.870866, Time  0.265229
2021-09-15 21:23:46.404063 : Epoch  3, Batch    741, Loss  0.611891, Average Loss  0.611808, Time  0.234058
2021-09-15 21:23:47.914714 : Epoch  3, Batch    742, Loss  0.614331, Average Loss  0.611782, Time  0.234476
2021-09-15 21:23:49.357898 : Epoch  3, Batch     45, Loss  0.882004, Average Loss  0.870959, Time  0.264972
2021-09-15 21:23:49.417882 : Epoch  3, Batch    743, Loss  0.595550, Average Loss  0.611666, Time  0.234137
2021-09-15 21:23:50.910030 : Epoch  3, Batch    744, Loss  0.609734, Average Loss  0.611678, Time  0.234129
2021-09-15 21:23:52.365473 : Epoch  3, Batch     46, Loss  0.896244, Average Loss  0.871069, Time  0.265727
2021-09-15 21:23:52.418722 : Epoch  3, Batch    745, Loss  0.607072, Average Loss  0.611656, Time  0.234550
2021-09-15 21:23:53.922970 : Epoch  3, Batch    746, Loss  0.608697, Average Loss  0.611648, Time  0.234034
2021-09-15 21:23:55.390352 : Epoch  3, Batch     47, Loss  0.867366, Average Loss  0.871157, Time  0.266019
2021-09-15 21:23:55.429852 : Epoch  3, Batch    747, Loss  0.617214, Average Loss  0.611651, Time  0.233953
2021-09-15 21:23:56.926111 : Epoch  3, Batch    748, Loss  0.611063, Average Loss  0.611709, Time  0.234266
2021-09-15 21:23:58.389962 : Epoch  3, Batch     48, Loss  0.876755, Average Loss  0.871101, Time  0.266103
2021-09-15 21:23:58.424877 : Epoch  3, Batch    749, Loss  0.611093, Average Loss  0.611738, Time  0.234297
2021-09-15 21:23:59.932241 : Epoch  3, Batch    750, Loss  0.608210, Average Loss  0.611765, Time  0.234129
2021-09-15 21:24:01.410550 : Epoch  3, Batch     49, Loss  0.857358, Average Loss  0.871031, Time  0.265746
2021-09-15 21:24:01.430291 : Epoch  3, Batch    751, Loss  0.620370, Average Loss  0.611830, Time  0.233991
2021-09-15 21:24:02.944780 : Epoch  3, Batch    752, Loss  0.610853, Average Loss  0.611867, Time  0.234317
2021-09-15 21:24:04.404728 : Epoch  3, Batch     50, Loss  0.852757, Average Loss  0.870934, Time  0.265490
2021-09-15 21:24:04.450150 : Epoch  3, Batch    753, Loss  0.604455, Average Loss  0.611814, Time  0.234292
2021-09-15 21:24:05.959141 : Epoch  3, Batch    754, Loss  0.617309, Average Loss  0.611898, Time  0.234354
2021-09-15 21:24:07.374236 : Epoch  3, Batch     51, Loss  0.875733, Average Loss  0.871074, Time  0.265427
2021-09-15 21:24:07.468963 : Epoch  3, Batch    755, Loss  0.623059, Average Loss  0.611902, Time  0.234192
2021-09-15 21:24:08.969992 : Epoch  3, Batch    756, Loss  0.614233, Average Loss  0.611943, Time  0.235563
2021-09-15 21:24:10.382195 : Epoch  3, Batch     52, Loss  0.852096, Average Loss  0.870926, Time  0.265295
2021-09-15 21:24:10.469568 : Epoch  3, Batch    757, Loss  0.619018, Average Loss  0.611953, Time  0.234744
2021-09-15 21:24:11.980269 : Epoch  3, Batch    758, Loss  0.613724, Average Loss  0.611939, Time  0.234059
2021-09-15 21:24:13.385193 : Epoch  3, Batch     53, Loss  0.873513, Average Loss  0.870976, Time  0.265823
2021-09-15 21:24:13.491025 : Epoch  3, Batch    759, Loss  0.605692, Average Loss  0.611884, Time  0.234675
2021-09-15 21:24:14.990966 : Epoch  3, Batch    760, Loss  0.614856, Average Loss  0.611908, Time  0.234192
2021-09-15 21:24:16.401518 : Epoch  3, Batch     54, Loss  0.901604, Average Loss  0.871093, Time  0.264500
2021-09-15 21:24:16.492148 : Epoch  3, Batch    761, Loss  0.606444, Average Loss  0.611866, Time  0.234532
2021-09-15 21:24:17.986984 : Epoch  3, Batch    762, Loss  0.614439, Average Loss  0.611893, Time  0.234171
2021-09-15 21:24:19.407109 : Epoch  3, Batch     55, Loss  0.867697, Average Loss  0.871030, Time  0.265846
2021-09-15 21:24:19.493981 : Epoch  3, Batch    763, Loss  0.610483, Average Loss  0.611848, Time  0.234204
2021-09-15 21:24:20.993315 : Epoch  3, Batch    764, Loss  0.610926, Average Loss  0.611847, Time  0.234271
2021-09-15 21:24:22.438058 : Epoch  3, Batch     56, Loss  0.863542, Average Loss  0.870952, Time  0.267156
2021-09-15 21:24:22.497960 : Epoch  3, Batch    765, Loss  0.609295, Average Loss  0.611822, Time  0.234254
2021-09-15 21:24:23.998003 : Epoch  3, Batch    766, Loss  0.605354, Average Loss  0.611812, Time  0.234053
2021-09-15 21:24:25.456681 : Epoch  3, Batch     57, Loss  0.858876, Average Loss  0.870958, Time  0.266743
2021-09-15 21:24:25.504983 : Epoch  3, Batch    767, Loss  0.610136, Average Loss  0.611777, Time  0.233979
2021-09-15 21:24:27.006196 : Epoch  3, Batch    768, Loss  0.608502, Average Loss  0.611720, Time  0.234491
2021-09-15 21:24:28.478918 : Epoch  3, Batch     58, Loss  0.871349, Average Loss  0.871044, Time  0.274083
2021-09-15 21:24:28.499548 : Epoch  3, Batch    769, Loss  0.611588, Average Loss  0.611658, Time  0.234156
2021-09-15 21:24:30.000121 : Epoch  3, Batch    770, Loss  0.608843, Average Loss  0.611606, Time  0.234289
2021-09-15 21:24:31.482254 : Epoch  3, Batch     59, Loss  0.875602, Average Loss  0.871033, Time  0.265869
2021-09-15 21:24:31.497094 : Epoch  3, Batch    771, Loss  0.613256, Average Loss  0.611608, Time  0.234384
2021-09-15 21:24:33.008385 : Epoch  3, Batch    772, Loss  0.611375, Average Loss  0.611605, Time  0.234284
2021-09-15 21:24:34.500555 : Epoch  3, Batch     60, Loss  0.851193, Average Loss  0.871101, Time  0.266730
2021-09-15 21:24:34.508900 : Epoch  3, Batch    773, Loss  0.615294, Average Loss  0.611631, Time  0.234004
2021-09-15 21:24:36.060773 : Epoch  3, Batch    774, Loss  0.609263, Average Loss  0.611602, Time  0.234237
2021-09-15 21:24:37.522895 : Epoch  3, Batch     61, Loss  0.865048, Average Loss  0.871033, Time  0.266005
2021-09-15 21:24:37.553257 : Epoch  3, Batch    775, Loss  0.608458, Average Loss  0.611626, Time  0.233964
2021-09-15 21:24:39.063805 : Epoch  3, Batch    776, Loss  0.604757, Average Loss  0.611530, Time  0.234777
2021-09-15 21:24:40.540813 : Epoch  3, Batch     62, Loss  0.867136, Average Loss  0.870965, Time  0.265237
2021-09-15 21:24:40.569767 : Epoch  3, Batch    777, Loss  0.620437, Average Loss  0.611585, Time  0.234212
2021-09-15 21:24:42.072340 : Epoch  3, Batch    778, Loss  0.612988, Average Loss  0.611630, Time  0.234106
2021-09-15 21:24:43.551771 : Epoch  3, Batch     63, Loss  0.883692, Average Loss  0.871076, Time  0.264970
2021-09-15 21:24:43.576785 : Epoch  3, Batch    779, Loss  0.608446, Average Loss  0.611576, Time  0.234443
2021-09-15 21:24:45.073980 : Epoch  3, Batch    780, Loss  0.606246, Average Loss  0.611560, Time  0.234284
2021-09-15 21:24:46.543024 : Epoch  3, Batch     64, Loss  0.862730, Average Loss  0.871083, Time  0.264885
2021-09-15 21:24:46.576816 : Epoch  3, Batch    781, Loss  0.614142, Average Loss  0.611521, Time  0.234156
2021-09-15 21:24:48.074331 : Epoch  3, Batch    782, Loss  0.601562, Average Loss  0.611472, Time  0.233941
2021-09-15 21:24:49.538005 : Epoch  3, Batch     65, Loss  0.860987, Average Loss  0.870978, Time  0.265553
2021-09-15 21:24:49.577006 : Epoch  3, Batch    783, Loss  0.619334, Average Loss  0.611492, Time  0.234251
2021-09-15 21:24:51.081000 : Epoch  3, Batch    784, Loss  0.607323, Average Loss  0.611484, Time  0.234418
2021-09-15 21:24:52.562204 : Epoch  3, Batch     66, Loss  0.872987, Average Loss  0.870983, Time  0.265846
2021-09-15 21:24:52.588808 : Epoch  3, Batch    785, Loss  0.610647, Average Loss  0.611578, Time  0.234574
2021-09-15 21:24:54.093363 : Epoch  3, Batch    786, Loss  0.607995, Average Loss  0.611572, Time  0.234032
2021-09-15 21:24:55.595757 : Epoch  3, Batch     67, Loss  0.870455, Average Loss  0.870919, Time  0.265656
2021-09-15 21:24:55.598065 : Epoch  3, Batch    787, Loss  0.607433, Average Loss  0.611588, Time  0.236025
2021-09-15 21:24:55.655562 : Saving Model after 3-th Epoch.
2021-09-15 21:24:56.535897 : Epoch Finished.
2021-09-15 21:24:58.622861 : Epoch  3, Batch     68, Loss  0.877773, Average Loss  0.870933, Time  0.265496
2021-09-15 21:24:58.872589 : Batch Shuffled
2021-09-15 21:25:00.388412 : Epoch  4, Batch      1, Loss  0.622617, Average Loss  0.611634, Time  0.261739
2021-09-15 21:25:01.644083 : Epoch  3, Batch     69, Loss  0.878916, Average Loss  0.870950, Time  0.265176
2021-09-15 21:25:01.897738 : Epoch  4, Batch      2, Loss  0.601734, Average Loss  0.611594, Time  0.237453
2021-09-15 21:25:03.385024 : Epoch  4, Batch      3, Loss  0.611490, Average Loss  0.611624, Time  0.234312
2021-09-15 21:25:04.633375 : Epoch  3, Batch     70, Loss  0.847255, Average Loss  0.870947, Time  0.265050
2021-09-15 21:25:04.902046 : Epoch  4, Batch      4, Loss  0.619510, Average Loss  0.611666, Time  0.235023
2021-09-15 21:25:06.399016 : Epoch  4, Batch      5, Loss  0.618725, Average Loss  0.611720, Time  0.234052
2021-09-15 21:25:07.658320 : Epoch  3, Batch     71, Loss  0.857470, Average Loss  0.870780, Time  0.265377
2021-09-15 21:25:07.904846 : Epoch  4, Batch      6, Loss  0.614781, Average Loss  0.611725, Time  0.234939
2021-09-15 21:25:09.402338 : Epoch  4, Batch      7, Loss  0.610680, Average Loss  0.611727, Time  0.234648
2021-09-15 21:25:10.680312 : Epoch  3, Batch     72, Loss  0.868205, Average Loss  0.870836, Time  0.266475
2021-09-15 21:25:10.905365 : Epoch  4, Batch      8, Loss  0.619546, Average Loss  0.611748, Time  0.234248
2021-09-15 21:25:12.394002 : Epoch  4, Batch      9, Loss  0.611372, Average Loss  0.611722, Time  0.234091
2021-09-15 21:25:13.672160 : Epoch  3, Batch     73, Loss  0.886779, Average Loss  0.870970, Time  0.279102
2021-09-15 21:25:13.890988 : Epoch  4, Batch     10, Loss  0.621826, Average Loss  0.611852, Time  0.234198
2021-09-15 21:25:15.380122 : Epoch  4, Batch     11, Loss  0.615797, Average Loss  0.611926, Time  0.234385
2021-09-15 21:25:16.673754 : Epoch  3, Batch     74, Loss  0.875074, Average Loss  0.870957, Time  0.265637
2021-09-15 21:25:16.867868 : Epoch  4, Batch     12, Loss  0.607829, Average Loss  0.611952, Time  0.234045
2021-09-15 21:25:18.362822 : Epoch  4, Batch     13, Loss  0.611910, Average Loss  0.611878, Time  0.234548
2021-09-15 21:25:19.676283 : Epoch  3, Batch     75, Loss  0.892452, Average Loss  0.871137, Time  0.266294
2021-09-15 21:25:19.862704 : Epoch  4, Batch     14, Loss  0.607822, Average Loss  0.611861, Time  0.234294
2021-09-15 21:25:21.349324 : Epoch  4, Batch     15, Loss  0.612222, Average Loss  0.611870, Time  0.234255
2021-09-15 21:25:22.669701 : Epoch  3, Batch     76, Loss  0.901899, Average Loss  0.871322, Time  0.266397
2021-09-15 21:25:22.841770 : Epoch  4, Batch     16, Loss  0.620059, Average Loss  0.611890, Time  0.234194
2021-09-15 21:25:24.332804 : Epoch  4, Batch     17, Loss  0.614173, Average Loss  0.611869, Time  0.234342
2021-09-15 21:25:25.662927 : Epoch  3, Batch     77, Loss  0.887817, Average Loss  0.871401, Time  0.265818
2021-09-15 21:25:25.831342 : Epoch  4, Batch     18, Loss  0.603774, Average Loss  0.611790, Time  0.234275
2021-09-15 21:25:27.322956 : Epoch  4, Batch     19, Loss  0.608647, Average Loss  0.611746, Time  0.234407
2021-09-15 21:25:28.652292 : Epoch  3, Batch     78, Loss  0.898943, Average Loss  0.871413, Time  0.265465
2021-09-15 21:25:28.815018 : Epoch  4, Batch     20, Loss  0.612971, Average Loss  0.611767, Time  0.234153
2021-09-15 21:25:30.303769 : Epoch  4, Batch     21, Loss  0.610604, Average Loss  0.611759, Time  0.234667
2021-09-15 21:25:31.649655 : Epoch  3, Batch     79, Loss  0.868310, Average Loss  0.871314, Time  0.266894
2021-09-15 21:25:31.802061 : Epoch  4, Batch     22, Loss  0.597461, Average Loss  0.611747, Time  0.234029
2021-09-15 21:25:33.297841 : Epoch  4, Batch     23, Loss  0.614985, Average Loss  0.611797, Time  0.234177
2021-09-15 21:25:34.679440 : Epoch  3, Batch     80, Loss  0.850600, Average Loss  0.871267, Time  0.265916
2021-09-15 21:25:34.797146 : Epoch  4, Batch     24, Loss  0.615426, Average Loss  0.611790, Time  0.234406
2021-09-15 21:25:36.297790 : Epoch  4, Batch     25, Loss  0.607277, Average Loss  0.611733, Time  0.234230
2021-09-15 21:25:37.662885 : Epoch  3, Batch     81, Loss  0.863058, Average Loss  0.871129, Time  0.265371
2021-09-15 21:25:37.804078 : Epoch  4, Batch     26, Loss  0.609114, Average Loss  0.611744, Time  0.234300
2021-09-15 21:25:39.327715 : Epoch  4, Batch     27, Loss  0.612004, Average Loss  0.611704, Time  0.234374
2021-09-15 21:25:40.679616 : Epoch  3, Batch     82, Loss  0.861732, Average Loss  0.871064, Time  0.265782
2021-09-15 21:25:40.828270 : Epoch  4, Batch     28, Loss  0.614600, Average Loss  0.611647, Time  0.234278
2021-09-15 21:25:42.319675 : Epoch  4, Batch     29, Loss  0.611695, Average Loss  0.611637, Time  0.234543
2021-09-15 21:25:43.770523 : Epoch  3, Batch     83, Loss  0.859470, Average Loss  0.871041, Time  0.265336
2021-09-15 21:25:43.935988 : Epoch  4, Batch     30, Loss  0.596811, Average Loss  0.611576, Time  0.234266
2021-09-15 21:25:45.436145 : Epoch  4, Batch     31, Loss  0.615858, Average Loss  0.611601, Time  0.234303
2021-09-15 21:25:46.804505 : Epoch  3, Batch     84, Loss  0.868523, Average Loss  0.870964, Time  0.264668
2021-09-15 21:25:46.939393 : Epoch  4, Batch     32, Loss  0.605012, Average Loss  0.611535, Time  0.235010
2021-09-15 21:25:48.437100 : Epoch  4, Batch     33, Loss  0.612490, Average Loss  0.611563, Time  0.234673
2021-09-15 21:25:49.805185 : Epoch  3, Batch     85, Loss  0.861912, Average Loss  0.870887, Time  0.265061
2021-09-15 21:25:49.943730 : Epoch  4, Batch     34, Loss  0.608444, Average Loss  0.611550, Time  0.234073
2021-09-15 21:25:51.444062 : Epoch  4, Batch     35, Loss  0.598279, Average Loss  0.611536, Time  0.234743
2021-09-15 21:25:52.800616 : Epoch  3, Batch     86, Loss  0.863628, Average Loss  0.870897, Time  0.264979
2021-09-15 21:25:52.947066 : Epoch  4, Batch     36, Loss  0.610668, Average Loss  0.611550, Time  0.234573
2021-09-15 21:25:54.448089 : Epoch  4, Batch     37, Loss  0.615412, Average Loss  0.611560, Time  0.234194
2021-09-15 21:25:55.832365 : Epoch  3, Batch     87, Loss  0.859061, Average Loss  0.870851, Time  0.265766
2021-09-15 21:25:55.956064 : Epoch  4, Batch     38, Loss  0.606295, Average Loss  0.611521, Time  0.234129
2021-09-15 21:25:57.449325 : Epoch  4, Batch     39, Loss  0.601778, Average Loss  0.611473, Time  0.234188
2021-09-15 21:25:58.852031 : Epoch  3, Batch     88, Loss  0.880368, Average Loss  0.870869, Time  0.276982
2021-09-15 21:26:53.842692 : CheckPoint: Validation Loss  0.00025367, Best Loss  0.00024924
2021-09-15 21:26:55.349764 : Epoch  4, Batch     40, Loss  0.602534, Average Loss  0.611421, Time  0.234809
2021-09-15 21:26:56.887063 : Epoch  4, Batch     41, Loss  0.622831, Average Loss  0.611475, Time  0.234519
2021-09-15 21:26:58.401333 : Epoch  4, Batch     42, Loss  0.612034, Average Loss  0.611478, Time  0.234876
2021-09-15 21:26:59.908817 : Epoch  4, Batch     43, Loss  0.612237, Average Loss  0.611504, Time  0.234377
2021-09-15 21:27:01.419693 : Epoch  4, Batch     44, Loss  0.608645, Average Loss  0.611475, Time  0.234419
2021-09-15 21:27:02.925059 : Epoch  4, Batch     45, Loss  0.619492, Average Loss  0.611504, Time  0.234488
2021-09-15 21:27:04.432163 : Epoch  4, Batch     46, Loss  0.609325, Average Loss  0.611464, Time  0.236170
2021-09-15 21:27:05.943348 : Epoch  4, Batch     47, Loss  0.618209, Average Loss  0.611465, Time  0.234260
2021-09-15 21:27:07.456896 : Epoch  4, Batch     48, Loss  0.609623, Average Loss  0.611437, Time  0.234596
2021-09-15 21:27:08.958168 : Epoch  4, Batch     49, Loss  0.608565, Average Loss  0.611482, Time  0.234408
2021-09-15 21:27:10.458265 : Epoch  4, Batch     50, Loss  0.607830, Average Loss  0.611464, Time  0.234410
2021-09-15 21:27:11.968885 : Epoch  4, Batch     51, Loss  0.604192, Average Loss  0.611404, Time  0.234414
2021-09-15 21:27:13.470870 : Epoch  4, Batch     52, Loss  0.615880, Average Loss  0.611407, Time  0.234094
2021-09-15 21:27:14.967294 : Epoch  4, Batch     53, Loss  0.607067, Average Loss  0.611436, Time  0.234185
2021-09-15 21:27:16.469995 : Epoch  4, Batch     54, Loss  0.595495, Average Loss  0.611340, Time  0.234604
2021-09-15 21:27:17.975058 : Epoch  4, Batch     55, Loss  0.608614, Average Loss  0.611311, Time  0.234213
2021-09-15 21:27:19.483023 : Epoch  4, Batch     56, Loss  0.615597, Average Loss  0.611303, Time  0.234703
2021-09-15 21:27:20.998777 : Epoch  4, Batch     57, Loss  0.604600, Average Loss  0.611274, Time  0.234402
2021-09-15 21:27:22.530721 : Epoch  4, Batch     58, Loss  0.612718, Average Loss  0.611287, Time  0.235142
2021-09-15 21:27:24.053947 : Epoch  4, Batch     59, Loss  0.615549, Average Loss  0.611365, Time  0.234326
2021-09-15 21:27:25.567037 : Epoch  4, Batch     60, Loss  0.617862, Average Loss  0.611425, Time  0.234394
2021-09-15 21:27:27.078355 : Epoch  4, Batch     61, Loss  0.614257, Average Loss  0.611414, Time  0.234464
2021-09-15 21:27:28.590094 : Epoch  4, Batch     62, Loss  0.614801, Average Loss  0.611464, Time  0.234216
2021-09-15 21:27:30.108096 : Epoch  4, Batch     63, Loss  0.606868, Average Loss  0.611361, Time  0.234341
2021-09-15 21:27:31.628977 : Epoch  4, Batch     64, Loss  0.598313, Average Loss  0.611271, Time  0.234220
2021-09-15 21:27:33.141986 : Epoch  4, Batch     65, Loss  0.598434, Average Loss  0.611225, Time  0.234293
2021-09-15 21:27:34.649111 : Epoch  4, Batch     66, Loss  0.615336, Average Loss  0.611210, Time  0.235242
2021-09-15 21:27:36.166369 : Epoch  4, Batch     67, Loss  0.604420, Average Loss  0.611162, Time  0.234352
2021-09-15 21:27:37.677928 : Epoch  4, Batch     68, Loss  0.595301, Average Loss  0.611091, Time  0.234061
2021-09-15 21:27:39.184262 : Epoch  4, Batch     69, Loss  0.624784, Average Loss  0.611131, Time  0.234096
2021-09-15 21:27:40.700279 : Epoch  4, Batch     70, Loss  0.609618, Average Loss  0.611076, Time  0.234327
2021-09-15 21:27:42.213187 : Epoch  4, Batch     71, Loss  0.613325, Average Loss  0.611094, Time  0.234429
2021-09-15 21:27:43.717694 : Epoch  4, Batch     72, Loss  0.615417, Average Loss  0.611130, Time  0.234040
2021-09-15 21:27:45.229105 : Epoch  4, Batch     73, Loss  0.602387, Average Loss  0.611054, Time  0.234170
2021-09-15 21:27:46.754252 : Epoch  4, Batch     74, Loss  0.610524, Average Loss  0.611035, Time  0.234191
2021-09-15 21:27:48.272042 : Epoch  4, Batch     75, Loss  0.609086, Average Loss  0.611049, Time  0.235096
2021-09-15 21:27:49.787327 : Epoch  4, Batch     76, Loss  0.610607, Average Loss  0.611092, Time  0.234499
2021-09-15 21:27:51.304102 : Epoch  4, Batch     77, Loss  0.609703, Average Loss  0.611044, Time  0.234067
2021-09-15 21:27:52.842069 : Epoch  4, Batch     78, Loss  0.608800, Average Loss  0.611034, Time  0.234567
2021-09-15 21:27:54.357982 : Epoch  4, Batch     79, Loss  0.611164, Average Loss  0.611044, Time  0.234159
2021-09-15 21:27:55.872100 : Epoch  4, Batch     80, Loss  0.627291, Average Loss  0.611096, Time  0.234478
2021-09-15 21:27:57.386000 : Epoch  4, Batch     81, Loss  0.612598, Average Loss  0.611152, Time  0.234378
2021-09-15 21:27:58.894128 : Epoch  4, Batch     82, Loss  0.621261, Average Loss  0.611174, Time  0.234364
2021-09-15 21:28:00.421750 : Epoch  4, Batch     83, Loss  0.616271, Average Loss  0.611204, Time  0.234579
2021-09-15 21:28:01.922827 : Epoch  4, Batch     84, Loss  0.609655, Average Loss  0.611200, Time  0.234460
2021-09-15 21:28:03.439073 : Epoch  4, Batch     85, Loss  0.607563, Average Loss  0.611177, Time  0.234272
2021-09-15 21:28:04.958910 : Epoch  4, Batch     86, Loss  0.610451, Average Loss  0.611172, Time  0.234384
2021-09-15 21:28:06.555973 : Epoch  4, Batch     87, Loss  0.607902, Average Loss  0.611145, Time  0.234540
2021-09-15 21:28:08.071251 : Epoch  4, Batch     88, Loss  0.608973, Average Loss  0.611064, Time  0.234307
2021-09-15 21:28:09.579935 : Epoch  4, Batch     89, Loss  0.615185, Average Loss  0.611030, Time  0.234803
2021-09-15 21:28:11.095884 : Epoch  4, Batch     90, Loss  0.608769, Average Loss  0.610986, Time  0.234194
2021-09-15 21:28:12.615008 : Epoch  4, Batch     91, Loss  0.621601, Average Loss  0.611092, Time  0.234279
2021-09-15 21:28:14.129155 : Epoch  4, Batch     92, Loss  0.606196, Average Loss  0.611063, Time  0.234496
2021-09-15 21:28:15.638281 : Epoch  4, Batch     93, Loss  0.600950, Average Loss  0.610997, Time  0.234015
2021-09-15 21:28:17.149800 : Epoch  4, Batch     94, Loss  0.599876, Average Loss  0.610921, Time  0.234424
2021-09-15 21:28:18.673014 : Epoch  4, Batch     95, Loss  0.615063, Average Loss  0.610896, Time  0.234293
2021-09-15 21:28:20.193052 : Epoch  4, Batch     96, Loss  0.614846, Average Loss  0.610885, Time  0.234442
2021-09-15 21:28:21.708301 : Epoch  4, Batch     97, Loss  0.619509, Average Loss  0.610935, Time  0.234429
2021-09-15 21:28:23.225279 : Epoch  4, Batch     98, Loss  0.611808, Average Loss  0.610925, Time  0.234263
2021-09-15 21:28:24.744909 : Epoch  4, Batch     99, Loss  0.613892, Average Loss  0.610981, Time  0.234386
2021-09-15 21:28:26.264981 : Epoch  4, Batch    100, Loss  0.613910, Average Loss  0.610985, Time  0.234831
2021-09-15 21:28:27.778892 : Epoch  4, Batch    101, Loss  0.615141, Average Loss  0.610953, Time  0.234458
2021-09-15 21:28:29.296066 : Epoch  4, Batch    102, Loss  0.603325, Average Loss  0.610935, Time  0.234225
2021-09-15 21:28:30.806946 : Epoch  4, Batch    103, Loss  0.612868, Average Loss  0.610991, Time  0.234634
2021-09-15 21:28:32.324237 : Epoch  4, Batch    104, Loss  0.613204, Average Loss  0.611062, Time  0.234340
2021-09-15 21:28:33.828064 : Epoch  4, Batch    105, Loss  0.614298, Average Loss  0.611107, Time  0.234126
2021-09-15 21:28:35.349010 : Epoch  4, Batch    106, Loss  0.614744, Average Loss  0.611142, Time  0.235141
2021-09-15 21:28:36.863186 : Epoch  4, Batch    107, Loss  0.602260, Average Loss  0.611078, Time  0.234620
2021-09-15 21:28:38.380116 : Epoch  4, Batch    108, Loss  0.613968, Average Loss  0.611074, Time  0.234761
2021-09-15 21:28:39.898112 : Epoch  4, Batch    109, Loss  0.620904, Average Loss  0.611129, Time  0.234469
2021-09-15 21:28:43.725981 : Epoch  4, Batch    110, Loss  0.615861, Average Loss  0.611142, Time  0.258992
2021-09-15 21:28:45.242714 : Epoch  4, Batch    111, Loss  0.613975, Average Loss  0.611182, Time  0.243377
2021-09-15 21:28:46.740862 : Epoch  4, Batch    112, Loss  0.614679, Average Loss  0.611204, Time  0.234041
2021-09-15 21:28:48.242836 : Epoch  4, Batch    113, Loss  0.611283, Average Loss  0.611137, Time  0.234720
2021-09-15 21:28:49.753736 : Epoch  4, Batch    114, Loss  0.598629, Average Loss  0.611065, Time  0.234694
2021-09-15 21:28:51.259127 : Epoch  4, Batch    115, Loss  0.613176, Average Loss  0.611088, Time  0.234854
2021-09-15 21:28:52.764098 : Epoch  4, Batch    116, Loss  0.618794, Average Loss  0.611093, Time  0.234422
2021-09-15 21:28:54.283243 : Epoch  4, Batch    117, Loss  0.610724, Average Loss  0.611115, Time  0.234282
2021-09-15 21:28:55.789754 : Epoch  4, Batch    118, Loss  0.602683, Average Loss  0.611045, Time  0.234312
2021-09-15 21:28:57.296173 : Epoch  4, Batch    119, Loss  0.605182, Average Loss  0.611047, Time  0.234593
2021-09-15 21:28:58.799166 : Epoch  4, Batch    120, Loss  0.606774, Average Loss  0.611008, Time  0.234256
2021-09-15 21:29:00.296999 : Epoch  4, Batch    121, Loss  0.608368, Average Loss  0.610983, Time  0.234395
2021-09-15 21:29:01.796197 : Epoch  4, Batch    122, Loss  0.614585, Average Loss  0.610949, Time  0.234630
2021-09-15 21:29:03.301063 : Epoch  4, Batch    123, Loss  0.615484, Average Loss  0.610966, Time  0.234318
2021-09-15 21:29:04.794831 : Epoch  4, Batch    124, Loss  0.610538, Average Loss  0.610990, Time  0.234158
2021-09-15 21:29:06.309199 : Epoch  4, Batch    125, Loss  0.609649, Average Loss  0.611022, Time  0.234350
2021-09-15 21:29:07.809930 : Epoch  4, Batch    126, Loss  0.615138, Average Loss  0.611030, Time  0.234258
2021-09-15 21:29:09.312990 : Epoch  4, Batch    127, Loss  0.617244, Average Loss  0.611114, Time  0.234612
2021-09-15 21:29:10.811927 : Epoch  4, Batch    128, Loss  0.606221, Average Loss  0.611061, Time  0.234468
2021-09-15 21:29:12.315528 : Epoch  4, Batch    129, Loss  0.614684, Average Loss  0.611083, Time  0.238479
2021-09-15 21:29:13.828346 : Epoch  4, Batch    130, Loss  0.616783, Average Loss  0.611109, Time  0.234477
2021-09-15 21:29:15.332974 : Epoch  4, Batch    131, Loss  0.618293, Average Loss  0.611128, Time  0.233919
2021-09-15 21:29:16.839991 : Epoch  4, Batch    132, Loss  0.604105, Average Loss  0.611112, Time  0.234119
2021-09-15 21:29:18.349886 : Epoch  4, Batch    133, Loss  0.614852, Average Loss  0.611144, Time  0.234097
2021-09-15 21:29:19.851202 : Epoch  4, Batch    134, Loss  0.617874, Average Loss  0.611138, Time  0.234238
2021-09-15 21:29:21.353051 : Epoch  4, Batch    135, Loss  0.614594, Average Loss  0.611124, Time  0.234492
2021-09-15 21:29:22.851195 : Epoch  4, Batch    136, Loss  0.613928, Average Loss  0.611145, Time  0.233996
2021-09-15 21:29:24.350830 : Epoch  4, Batch    137, Loss  0.614462, Average Loss  0.611174, Time  0.235566
2021-09-15 21:29:25.854923 : Epoch  4, Batch    138, Loss  0.619155, Average Loss  0.611213, Time  0.234273
2021-09-15 21:29:27.366282 : Epoch  4, Batch    139, Loss  0.626748, Average Loss  0.611262, Time  0.234429
2021-09-15 21:30:23.211693 : CheckPoint: Validation Loss  0.00025197, Best Loss  0.00024924
2021-09-15 21:30:24.712105 : Epoch  4, Batch    140, Loss  0.608748, Average Loss  0.611222, Time  0.234612
2021-09-15 21:30:26.213927 : Epoch  4, Batch    141, Loss  0.615966, Average Loss  0.611352, Time  0.234246
2021-09-15 21:30:27.726306 : Epoch  4, Batch    142, Loss  0.617222, Average Loss  0.611345, Time  0.234965
2021-09-15 21:30:29.228347 : Epoch  4, Batch    143, Loss  0.615122, Average Loss  0.611378, Time  0.234576
2021-09-15 21:30:30.730780 : Epoch  4, Batch    144, Loss  0.599373, Average Loss  0.611345, Time  0.234209
2021-09-15 21:30:32.237207 : Epoch  4, Batch    145, Loss  0.610235, Average Loss  0.611376, Time  0.235018
2021-09-15 21:30:33.738823 : Epoch  4, Batch    146, Loss  0.616847, Average Loss  0.611393, Time  0.234105
2021-09-15 21:30:35.242730 : Epoch  4, Batch    147, Loss  0.611847, Average Loss  0.611353, Time  0.234391
2021-09-15 21:30:36.749899 : Epoch  4, Batch    148, Loss  0.605487, Average Loss  0.611304, Time  0.234532
2021-09-15 21:30:38.246956 : Epoch  4, Batch    149, Loss  0.615525, Average Loss  0.611334, Time  0.234577
2021-09-15 21:30:38.916140 : CheckPoint: Validation Loss  0.00029884, Best Loss  0.00029457
2021-09-15 21:30:39.748918 : Epoch  4, Batch    150, Loss  0.608016, Average Loss  0.611305, Time  0.234627
2021-09-15 21:30:41.251239 : Epoch  4, Batch    151, Loss  0.607049, Average Loss  0.611249, Time  0.234343
2021-09-15 21:30:41.915359 : Epoch  3, Batch     89, Loss  0.853022, Average Loss  0.870702, Time  0.267249
2021-09-15 21:30:42.762823 : Epoch  4, Batch    152, Loss  0.613041, Average Loss  0.611287, Time  0.233996
2021-09-15 21:30:44.263837 : Epoch  4, Batch    153, Loss  0.611995, Average Loss  0.611312, Time  0.234027
2021-09-15 21:30:44.932442 : Epoch  3, Batch     90, Loss  0.865744, Average Loss  0.870627, Time  0.265433
2021-09-15 21:30:45.773007 : Epoch  4, Batch    154, Loss  0.612337, Average Loss  0.611314, Time  0.234318
2021-09-15 21:30:47.273085 : Epoch  4, Batch    155, Loss  0.616272, Average Loss  0.611324, Time  0.235278
2021-09-15 21:30:47.938927 : Epoch  3, Batch     91, Loss  0.863424, Average Loss  0.870525, Time  0.265806
2021-09-15 21:30:48.767102 : Epoch  4, Batch    156, Loss  0.609067, Average Loss  0.611391, Time  0.234507
2021-09-15 21:30:50.261933 : Epoch  4, Batch    157, Loss  0.616761, Average Loss  0.611426, Time  0.234308
2021-09-15 21:30:50.927512 : Epoch  3, Batch     92, Loss  0.883285, Average Loss  0.870647, Time  0.266306
2021-09-15 21:30:51.764907 : Epoch  4, Batch    158, Loss  0.612749, Average Loss  0.611455, Time  0.234138
2021-09-15 21:30:53.259964 : Epoch  4, Batch    159, Loss  0.622133, Average Loss  0.611522, Time  0.234461
2021-09-15 21:30:53.926053 : Epoch  3, Batch     93, Loss  0.851844, Average Loss  0.870532, Time  0.267318
2021-09-15 21:30:54.763986 : Epoch  4, Batch    160, Loss  0.618889, Average Loss  0.611530, Time  0.233948
2021-09-15 21:30:56.257122 : Epoch  4, Batch    161, Loss  0.616862, Average Loss  0.611559, Time  0.234731
2021-09-15 21:30:56.951466 : Epoch  3, Batch     94, Loss  0.884216, Average Loss  0.870527, Time  0.265255
2021-09-15 21:30:57.769788 : Epoch  4, Batch    162, Loss  0.607479, Average Loss  0.611541, Time  0.234541
2021-09-15 21:30:59.265873 : Epoch  4, Batch    163, Loss  0.602442, Average Loss  0.611512, Time  0.234665
2021-09-15 21:30:59.973569 : Epoch  3, Batch     95, Loss  0.868466, Average Loss  0.870543, Time  0.267073
2021-09-15 21:31:00.760219 : Epoch  4, Batch    164, Loss  0.611035, Average Loss  0.611466, Time  0.234328
2021-09-15 21:31:02.265054 : Epoch  4, Batch    165, Loss  0.622471, Average Loss  0.611524, Time  0.234856
2021-09-15 21:31:02.985374 : Epoch  3, Batch     96, Loss  0.860663, Average Loss  0.870428, Time  0.265106
2021-09-15 21:31:03.776457 : Epoch  4, Batch    166, Loss  0.619662, Average Loss  0.611600, Time  0.234428
2021-09-15 21:31:05.278051 : Epoch  4, Batch    167, Loss  0.608453, Average Loss  0.611556, Time  0.234275
2021-09-15 21:31:05.972016 : Epoch  3, Batch     97, Loss  0.851384, Average Loss  0.870285, Time  0.266417
2021-09-15 21:31:06.780825 : Epoch  4, Batch    168, Loss  0.608080, Average Loss  0.611481, Time  0.234279
2021-09-15 21:31:08.292858 : Epoch  4, Batch    169, Loss  0.611012, Average Loss  0.611465, Time  0.234363
2021-09-15 21:31:09.036364 : Epoch  3, Batch     98, Loss  0.885912, Average Loss  0.870425, Time  0.265238
2021-09-15 21:31:09.791939 : Epoch  4, Batch    170, Loss  0.601446, Average Loss  0.611377, Time  0.234248
2021-09-15 21:31:11.318789 : Epoch  4, Batch    171, Loss  0.608440, Average Loss  0.611350, Time  0.234530
2021-09-15 21:31:12.049623 : Epoch  3, Batch     99, Loss  0.868778, Average Loss  0.870507, Time  0.266295
2021-09-15 21:31:12.817061 : Epoch  4, Batch    172, Loss  0.613339, Average Loss  0.611389, Time  0.234154
2021-09-15 21:31:14.326740 : Epoch  4, Batch    173, Loss  0.611509, Average Loss  0.611372, Time  0.234384
2021-09-15 21:31:15.048299 : Epoch  3, Batch    100, Loss  0.862239, Average Loss  0.870411, Time  0.265420
2021-09-15 21:31:15.830078 : Epoch  4, Batch    174, Loss  0.600419, Average Loss  0.611342, Time  0.234001
2021-09-15 21:31:17.329975 : Epoch  4, Batch    175, Loss  0.603864, Average Loss  0.611289, Time  0.233891
2021-09-15 21:31:18.029141 : Epoch  3, Batch    101, Loss  0.901204, Average Loss  0.870457, Time  0.264784
2021-09-15 21:31:18.835062 : Epoch  4, Batch    176, Loss  0.610474, Average Loss  0.611289, Time  0.234326
2021-09-15 21:31:20.334904 : Epoch  4, Batch    177, Loss  0.620021, Average Loss  0.611334, Time  0.234440
2021-09-15 21:31:21.051651 : Epoch  3, Batch    102, Loss  0.851931, Average Loss  0.870266, Time  0.277025
2021-09-15 21:31:21.844721 : Epoch  4, Batch    178, Loss  0.604657, Average Loss  0.611311, Time  0.234083
2021-09-15 21:31:23.355741 : Epoch  4, Batch    179, Loss  0.612871, Average Loss  0.611349, Time  0.235133
2021-09-15 21:31:24.072855 : Epoch  3, Batch    103, Loss  0.863825, Average Loss  0.870093, Time  0.266437
2021-09-15 21:31:24.859719 : Epoch  4, Batch    180, Loss  0.611969, Average Loss  0.611358, Time  0.234629
2021-09-15 21:31:26.357924 : Epoch  4, Batch    181, Loss  0.610734, Average Loss  0.611369, Time  0.234601
2021-09-15 21:31:27.058045 : Epoch  3, Batch    104, Loss  0.899955, Average Loss  0.870263, Time  0.264713
2021-09-15 21:31:27.865778 : Epoch  4, Batch    182, Loss  0.628517, Average Loss  0.611454, Time  0.235007
2021-09-15 21:31:29.370986 : Epoch  4, Batch    183, Loss  0.592717, Average Loss  0.611373, Time  0.233910
2021-09-15 21:31:30.048373 : Epoch  3, Batch    105, Loss  0.870704, Average Loss  0.870184, Time  0.265264
2021-09-15 21:31:30.879732 : Epoch  4, Batch    184, Loss  0.603937, Average Loss  0.611326, Time  0.234525
2021-09-15 21:31:32.377161 : Epoch  4, Batch    185, Loss  0.612470, Average Loss  0.611332, Time  0.234237
2021-09-15 21:31:33.055992 : Epoch  3, Batch    106, Loss  0.863122, Average Loss  0.870178, Time  0.268736
2021-09-15 21:31:33.882790 : Epoch  4, Batch    186, Loss  0.612681, Average Loss  0.611319, Time  0.234486
2021-09-15 21:31:35.376166 : Epoch  4, Batch    187, Loss  0.602749, Average Loss  0.611286, Time  0.234548
2021-09-15 21:31:36.027993 : Epoch  3, Batch    107, Loss  0.881299, Average Loss  0.870307, Time  0.267355
2021-09-15 21:31:36.875394 : Epoch  4, Batch    188, Loss  0.618966, Average Loss  0.611339, Time  0.234356
2021-09-15 21:31:38.373242 : Epoch  4, Batch    189, Loss  0.613714, Average Loss  0.611384, Time  0.234146
2021-09-15 21:31:39.009351 : Epoch  3, Batch    108, Loss  0.875161, Average Loss  0.870303, Time  0.266107
2021-09-15 21:31:39.871280 : Epoch  4, Batch    190, Loss  0.605986, Average Loss  0.611311, Time  0.234153
2021-09-15 21:31:41.367665 : Epoch  4, Batch    191, Loss  0.613386, Average Loss  0.611313, Time  0.234686
2021-09-15 21:31:42.046197 : Epoch  3, Batch    109, Loss  0.869077, Average Loss  0.870336, Time  0.266965
2021-09-15 21:31:42.868296 : Epoch  4, Batch    192, Loss  0.619982, Average Loss  0.611371, Time  0.234206
2021-09-15 21:31:44.370964 : Epoch  4, Batch    193, Loss  0.609594, Average Loss  0.611388, Time  0.234541
2021-09-15 21:31:45.060963 : Epoch  3, Batch    110, Loss  0.868881, Average Loss  0.870350, Time  0.267478
2021-09-15 21:31:45.866799 : Epoch  4, Batch    194, Loss  0.623044, Average Loss  0.611432, Time  0.234269
2021-09-15 21:31:47.361884 : Epoch  4, Batch    195, Loss  0.604505, Average Loss  0.611447, Time  0.234282
2021-09-15 21:31:48.063051 : Epoch  3, Batch    111, Loss  0.870609, Average Loss  0.870391, Time  0.265568
2021-09-15 21:31:48.856410 : Epoch  4, Batch    196, Loss  0.608953, Average Loss  0.611395, Time  0.234499
2021-09-15 21:31:50.366049 : Epoch  4, Batch    197, Loss  0.614119, Average Loss  0.611429, Time  0.234155
2021-09-15 21:31:51.023688 : Epoch  3, Batch    112, Loss  0.876494, Average Loss  0.870386, Time  0.264207
2021-09-15 21:31:51.859030 : Epoch  4, Batch    198, Loss  0.603055, Average Loss  0.611391, Time  0.234260
2021-09-15 21:31:53.366035 : Epoch  4, Batch    199, Loss  0.607860, Average Loss  0.611390, Time  0.234322
2021-09-15 21:31:54.029902 : Epoch  3, Batch    113, Loss  0.849282, Average Loss  0.870332, Time  0.266034
2021-09-15 21:31:54.874977 : Epoch  4, Batch    200, Loss  0.617913, Average Loss  0.611443, Time  0.234295
2021-09-15 21:31:56.377202 : Epoch  4, Batch    201, Loss  0.615512, Average Loss  0.611407, Time  0.234536
2021-09-15 21:31:57.008154 : Epoch  3, Batch    114, Loss  0.865994, Average Loss  0.870229, Time  0.267351
2021-09-15 21:31:57.883995 : Epoch  4, Batch    202, Loss  0.611558, Average Loss  0.611456, Time  0.234228
2021-09-15 21:31:59.383062 : Epoch  4, Batch    203, Loss  0.615783, Average Loss  0.611478, Time  0.234280
2021-09-15 21:32:00.077535 : Epoch  3, Batch    115, Loss  0.885505, Average Loss  0.870259, Time  0.266145
2021-09-15 21:32:00.885238 : Epoch  4, Batch    204, Loss  0.609627, Average Loss  0.611428, Time  0.234255
2021-09-15 21:32:02.384199 : Epoch  4, Batch    205, Loss  0.610339, Average Loss  0.611386, Time  0.234136
2021-09-15 21:32:03.094705 : Epoch  3, Batch    116, Loss  0.872838, Average Loss  0.870305, Time  0.266886
2021-09-15 21:32:03.886024 : Epoch  4, Batch    206, Loss  0.607571, Average Loss  0.611350, Time  0.235146
2021-09-15 21:32:05.388815 : Epoch  4, Batch    207, Loss  0.605983, Average Loss  0.611327, Time  0.234264
2021-09-15 21:32:06.091753 : Epoch  3, Batch    117, Loss  0.874712, Average Loss  0.870376, Time  0.265963
2021-09-15 21:32:06.885160 : Epoch  4, Batch    208, Loss  0.618344, Average Loss  0.611321, Time  0.234125
2021-09-15 21:32:08.383900 : Epoch  4, Batch    209, Loss  0.607109, Average Loss  0.611300, Time  0.234932
2021-09-15 21:32:09.163058 : Epoch  3, Batch    118, Loss  0.868355, Average Loss  0.870289, Time  0.278068
2021-09-15 21:32:12.134462 : Epoch  3, Batch    119, Loss  0.864595, Average Loss  0.870159, Time  0.266573
2021-09-15 21:32:12.258091 : Epoch  4, Batch    210, Loss  0.616035, Average Loss  0.611271, Time  0.265963
2021-09-15 21:32:13.763135 : Epoch  4, Batch    211, Loss  0.609903, Average Loss  0.611241, Time  0.246866
2021-09-15 21:32:15.119113 : Epoch  3, Batch    120, Loss  0.886227, Average Loss  0.870244, Time  0.265298
2021-09-15 21:32:15.259004 : Epoch  4, Batch    212, Loss  0.612635, Average Loss  0.611265, Time  0.237201
2021-09-15 21:32:16.740000 : Epoch  4, Batch    213, Loss  0.610981, Average Loss  0.611261, Time  0.234583
2021-09-15 21:32:18.123943 : Epoch  3, Batch    121, Loss  0.870029, Average Loss  0.870225, Time  0.266109
2021-09-15 21:32:18.244323 : Epoch  4, Batch    214, Loss  0.607934, Average Loss  0.611261, Time  0.235327
2021-09-15 21:32:19.730263 : Epoch  4, Batch    215, Loss  0.606648, Average Loss  0.611233, Time  0.234232
2021-09-15 21:32:21.109409 : Epoch  3, Batch    122, Loss  0.856712, Average Loss  0.870187, Time  0.265164
2021-09-15 21:32:21.226083 : Epoch  4, Batch    216, Loss  0.617426, Average Loss  0.611220, Time  0.233932
2021-09-15 21:32:22.723036 : Epoch  4, Batch    217, Loss  0.610793, Average Loss  0.611203, Time  0.235138
2021-09-15 21:32:24.105212 : Epoch  3, Batch    123, Loss  0.851483, Average Loss  0.870020, Time  0.264774
2021-09-15 21:32:24.223069 : Epoch  4, Batch    218, Loss  0.608113, Average Loss  0.611225, Time  0.234647
2021-09-15 21:32:25.722490 : Epoch  4, Batch    219, Loss  0.611338, Average Loss  0.611238, Time  0.234994
2021-09-15 21:32:27.098054 : Epoch  3, Batch    124, Loss  0.873049, Average Loss  0.870041, Time  0.265188
2021-09-15 21:32:27.218084 : Epoch  4, Batch    220, Loss  0.618118, Average Loss  0.611264, Time  0.234181
2021-09-15 21:32:28.707153 : Epoch  4, Batch    221, Loss  0.614436, Average Loss  0.611283, Time  0.234347
2021-09-15 21:32:30.103002 : Epoch  3, Batch    125, Loss  0.866953, Average Loss  0.869864, Time  0.265178
2021-09-15 21:32:30.199772 : Epoch  4, Batch    222, Loss  0.614200, Average Loss  0.611367, Time  0.234262
2021-09-15 21:32:31.687307 : Epoch  4, Batch    223, Loss  0.602692, Average Loss  0.611305, Time  0.234491
2021-09-15 21:32:33.102441 : Epoch  3, Batch    126, Loss  0.861535, Average Loss  0.869854, Time  0.265390
2021-09-15 21:32:33.188021 : Epoch  4, Batch    224, Loss  0.616033, Average Loss  0.611309, Time  0.234431
2021-09-15 21:32:34.686029 : Epoch  4, Batch    225, Loss  0.618500, Average Loss  0.611365, Time  0.234421
2021-09-15 21:32:36.093834 : Epoch  3, Batch    127, Loss  0.870236, Average Loss  0.869842, Time  0.265148
2021-09-15 21:32:36.186951 : Epoch  4, Batch    226, Loss  0.607583, Average Loss  0.611357, Time  0.234447
2021-09-15 21:32:37.683057 : Epoch  4, Batch    227, Loss  0.596742, Average Loss  0.611281, Time  0.234488
2021-09-15 21:32:39.097463 : Epoch  3, Batch    128, Loss  0.863236, Average Loss  0.869716, Time  0.267251
2021-09-15 21:32:39.188080 : Epoch  4, Batch    228, Loss  0.608743, Average Loss  0.611251, Time  0.234673
2021-09-15 21:32:40.702035 : Epoch  4, Batch    229, Loss  0.622523, Average Loss  0.611306, Time  0.234557
2021-09-15 21:32:42.094712 : Epoch  3, Batch    129, Loss  0.876567, Average Loss  0.869838, Time  0.266536
2021-09-15 21:32:42.195790 : Epoch  4, Batch    230, Loss  0.604336, Average Loss  0.611343, Time  0.234553
2021-09-15 21:32:43.686824 : Epoch  4, Batch    231, Loss  0.605102, Average Loss  0.611289, Time  0.234380
2021-09-15 21:32:45.082127 : Epoch  3, Batch    130, Loss  0.859237, Average Loss  0.869799, Time  0.264900
2021-09-15 21:32:45.180345 : Epoch  4, Batch    232, Loss  0.600574, Average Loss  0.611267, Time  0.234238
2021-09-15 21:32:46.672027 : Epoch  4, Batch    233, Loss  0.610535, Average Loss  0.611257, Time  0.236197
2021-09-15 21:32:48.074377 : Epoch  3, Batch    131, Loss  0.858065, Average Loss  0.869717, Time  0.266506
2021-09-15 21:32:48.165282 : Epoch  4, Batch    234, Loss  0.623172, Average Loss  0.611331, Time  0.234200
2021-09-15 21:32:49.666087 : Epoch  4, Batch    235, Loss  0.614338, Average Loss  0.611411, Time  0.234323
2021-09-15 21:32:51.085206 : Epoch  3, Batch    132, Loss  0.881504, Average Loss  0.869833, Time  0.265523
2021-09-15 21:32:51.165199 : Epoch  4, Batch    236, Loss  0.610712, Average Loss  0.611412, Time  0.234463
2021-09-15 21:32:52.662009 : Epoch  4, Batch    237, Loss  0.601331, Average Loss  0.611341, Time  0.234188
2021-09-15 21:32:54.100591 : Epoch  3, Batch    133, Loss  0.881729, Average Loss  0.869895, Time  0.278038
2021-09-15 21:32:54.168206 : Epoch  4, Batch    238, Loss  0.600857, Average Loss  0.611314, Time  0.234391
2021-09-15 21:32:55.667744 : Epoch  4, Batch    239, Loss  0.611971, Average Loss  0.611365, Time  0.234219
2021-09-15 21:32:57.087758 : Epoch  3, Batch    134, Loss  0.881168, Average Loss  0.870050, Time  0.265293
2021-09-15 21:33:00.104808 : Epoch  3, Batch    135, Loss  0.870633, Average Loss  0.870166, Time  0.266460
2021-09-15 21:33:03.091456 : Epoch  3, Batch    136, Loss  0.876829, Average Loss  0.870201, Time  0.265366
2021-09-15 21:33:06.074501 : Epoch  3, Batch    137, Loss  0.860833, Average Loss  0.870005, Time  0.265167
2021-09-15 21:33:09.056976 : Epoch  3, Batch    138, Loss  0.851615, Average Loss  0.869850, Time  0.265374
2021-09-15 21:33:12.044274 : Epoch  3, Batch    139, Loss  0.873650, Average Loss  0.869928, Time  0.265647
2021-09-15 21:33:15.028705 : Epoch  3, Batch    140, Loss  0.869574, Average Loss  0.869981, Time  0.265787
2021-09-15 21:33:18.059785 : Epoch  3, Batch    141, Loss  0.862829, Average Loss  0.869927, Time  0.265665
2021-09-15 21:33:21.091878 : Epoch  3, Batch    142, Loss  0.851375, Average Loss  0.869820, Time  0.265821
2021-09-15 21:33:24.080071 : Epoch  3, Batch    143, Loss  0.856140, Average Loss  0.869746, Time  0.265196
2021-09-15 21:33:27.066963 : Epoch  3, Batch    144, Loss  0.865637, Average Loss  0.869767, Time  0.266412
2021-09-15 21:33:30.062068 : Epoch  3, Batch    145, Loss  0.861440, Average Loss  0.869721, Time  0.266068
2021-09-15 21:33:33.041367 : Epoch  3, Batch    146, Loss  0.886521, Average Loss  0.869880, Time  0.266121
2021-09-15 21:33:36.061902 : Epoch  3, Batch    147, Loss  0.902954, Average Loss  0.870109, Time  0.265049
2021-09-15 21:33:39.067746 : Epoch  3, Batch    148, Loss  0.852951, Average Loss  0.870033, Time  0.279520
2021-09-15 21:33:42.048536 : Epoch  3, Batch    149, Loss  0.877392, Average Loss  0.870087, Time  0.265506
2021-09-15 21:33:45.026453 : Epoch  3, Batch    150, Loss  0.852420, Average Loss  0.869908, Time  0.265151
2021-09-15 21:33:48.014473 : Epoch  3, Batch    151, Loss  0.880931, Average Loss  0.870021, Time  0.265754
2021-09-15 21:33:51.011448 : Epoch  3, Batch    152, Loss  0.849294, Average Loss  0.869891, Time  0.266112
2021-09-15 21:33:51.588712 : CheckPoint: Validation Loss  0.00025532, Best Loss  0.00024924
2021-09-15 21:33:53.105461 : Epoch  4, Batch    240, Loss  0.608244, Average Loss  0.611393, Time  0.235053
2021-09-15 21:33:54.007087 : Epoch  3, Batch    153, Loss  0.883301, Average Loss  0.869898, Time  0.266770
2021-09-15 21:33:54.613085 : Epoch  4, Batch    241, Loss  0.604127, Average Loss  0.611300, Time  0.234098
2021-09-15 21:33:56.126805 : Epoch  4, Batch    242, Loss  0.612305, Average Loss  0.611301, Time  0.234650
2021-09-15 21:33:56.997539 : Epoch  3, Batch    154, Loss  0.899517, Average Loss  0.870110, Time  0.265447
2021-09-15 21:33:57.655774 : Epoch  4, Batch    243, Loss  0.600496, Average Loss  0.611243, Time  0.234244
2021-09-15 21:33:59.162995 : Epoch  4, Batch    244, Loss  0.594063, Average Loss  0.611170, Time  0.234451
2021-09-15 21:33:59.975671 : Epoch  3, Batch    155, Loss  0.894404, Average Loss  0.870188, Time  0.265355
2021-09-15 21:34:00.661069 : Epoch  4, Batch    245, Loss  0.631865, Average Loss  0.611232, Time  0.233942
2021-09-15 21:34:02.170709 : Epoch  4, Batch    246, Loss  0.611322, Average Loss  0.611242, Time  0.235050
2021-09-15 21:34:02.965949 : Epoch  3, Batch    156, Loss  0.870983, Average Loss  0.870146, Time  0.265571
2021-09-15 21:34:03.696206 : Epoch  4, Batch    247, Loss  0.626090, Average Loss  0.611281, Time  0.234854
2021-09-15 21:34:05.196970 : Epoch  4, Batch    248, Loss  0.607100, Average Loss  0.611268, Time  0.235077
2021-09-15 21:34:05.954164 : Epoch  3, Batch    157, Loss  0.884332, Average Loss  0.870199, Time  0.265426
2021-09-15 21:34:06.705886 : Epoch  4, Batch    249, Loss  0.613069, Average Loss  0.611291, Time  0.234645
2021-09-15 21:34:08.210714 : Epoch  4, Batch    250, Loss  0.603388, Average Loss  0.611269, Time  0.234352
2021-09-15 21:34:08.946165 : Epoch  3, Batch    158, Loss  0.878838, Average Loss  0.870236, Time  0.265032
2021-09-15 21:34:09.724382 : Epoch  4, Batch    251, Loss  0.602325, Average Loss  0.611259, Time  0.234678
2021-09-15 21:34:11.234096 : Epoch  4, Batch    252, Loss  0.608039, Average Loss  0.611220, Time  0.234090
2021-09-15 21:34:11.932147 : Epoch  3, Batch    159, Loss  0.874379, Average Loss  0.870220, Time  0.265252
2021-09-15 21:34:12.746242 : Epoch  4, Batch    253, Loss  0.610213, Average Loss  0.611236, Time  0.234514
2021-09-15 21:34:14.246871 : Epoch  4, Batch    254, Loss  0.613660, Average Loss  0.611327, Time  0.234547
2021-09-15 21:34:14.922914 : Epoch  3, Batch    160, Loss  0.873184, Average Loss  0.870261, Time  0.267311
2021-09-15 21:34:15.747318 : Epoch  4, Batch    255, Loss  0.607045, Average Loss  0.611319, Time  0.234095
2021-09-15 21:34:17.254964 : Epoch  4, Batch    256, Loss  0.615223, Average Loss  0.611317, Time  0.234192
2021-09-15 21:34:17.904121 : Epoch  3, Batch    161, Loss  0.862685, Average Loss  0.870163, Time  0.265937
2021-09-15 21:34:18.761781 : Epoch  4, Batch    257, Loss  0.614364, Average Loss  0.611366, Time  0.234403
2021-09-15 21:34:20.270681 : Epoch  4, Batch    258, Loss  0.612677, Average Loss  0.611366, Time  0.234389
2021-09-15 21:34:20.885166 : Epoch  3, Batch    162, Loss  0.892236, Average Loss  0.870237, Time  0.265425
2021-09-15 21:34:21.777433 : Epoch  4, Batch    259, Loss  0.606558, Average Loss  0.611321, Time  0.234276
2021-09-15 21:34:23.283834 : Epoch  4, Batch    260, Loss  0.622236, Average Loss  0.611342, Time  0.234248
2021-09-15 21:34:23.871643 : Epoch  3, Batch    163, Loss  0.852392, Average Loss  0.870139, Time  0.265065
2021-09-15 21:34:24.785871 : Epoch  4, Batch    261, Loss  0.607024, Average Loss  0.611306, Time  0.234248
2021-09-15 21:34:26.285906 : Epoch  4, Batch    262, Loss  0.615812, Average Loss  0.611311, Time  0.234275
2021-09-15 21:34:26.896947 : Epoch  3, Batch    164, Loss  0.844558, Average Loss  0.870107, Time  0.276226
2021-09-15 21:34:27.784322 : Epoch  4, Batch    263, Loss  0.611434, Average Loss  0.611334, Time  0.234468
2021-09-15 21:34:29.288930 : Epoch  4, Batch    264, Loss  0.624987, Average Loss  0.611468, Time  0.234385
2021-09-15 21:34:29.899129 : Epoch  3, Batch    165, Loss  0.862101, Average Loss  0.870117, Time  0.266392
2021-09-15 21:34:30.790982 : Epoch  4, Batch    265, Loss  0.603715, Average Loss  0.611494, Time  0.234347
2021-09-15 21:34:32.287247 : Epoch  4, Batch    266, Loss  0.597027, Average Loss  0.611402, Time  0.234335
2021-09-15 21:34:32.892554 : Epoch  3, Batch    166, Loss  0.877964, Average Loss  0.870097, Time  0.265558
2021-09-15 21:34:33.790096 : Epoch  4, Batch    267, Loss  0.605294, Average Loss  0.611407, Time  0.235103
2021-09-15 21:34:35.298088 : Epoch  4, Batch    268, Loss  0.610484, Average Loss  0.611483, Time  0.234641
2021-09-15 21:34:35.907603 : Epoch  3, Batch    167, Loss  0.864137, Average Loss  0.870046, Time  0.265188
2021-09-15 21:34:36.808335 : Epoch  4, Batch    269, Loss  0.603962, Average Loss  0.611379, Time  0.234827
2021-09-15 21:34:38.314969 : Epoch  4, Batch    270, Loss  0.620506, Average Loss  0.611433, Time  0.235446
2021-09-15 21:34:38.930128 : Epoch  3, Batch    168, Loss  0.865954, Average Loss  0.869993, Time  0.266383
2021-09-15 21:34:39.828093 : Epoch  4, Batch    271, Loss  0.600293, Average Loss  0.611368, Time  0.234923
2021-09-15 21:34:41.336923 : Epoch  4, Batch    272, Loss  0.605438, Average Loss  0.611318, Time  0.234651
2021-09-15 21:34:41.911928 : Epoch  3, Batch    169, Loss  0.875069, Average Loss  0.869931, Time  0.266489
2021-09-15 21:34:42.845956 : Epoch  4, Batch    273, Loss  0.609769, Average Loss  0.611355, Time  0.234266
2021-09-15 21:34:44.359934 : Epoch  4, Batch    274, Loss  0.605990, Average Loss  0.611332, Time  0.234246
2021-09-15 21:34:44.906756 : Epoch  3, Batch    170, Loss  0.875768, Average Loss  0.869936, Time  0.265481
2021-09-15 21:34:45.865879 : Epoch  4, Batch    275, Loss  0.609484, Average Loss  0.611334, Time  0.234713
2021-09-15 21:34:47.372074 : Epoch  4, Batch    276, Loss  0.604683, Average Loss  0.611305, Time  0.234156
2021-09-15 21:34:47.893421 : Epoch  3, Batch    171, Loss  0.872184, Average Loss  0.869934, Time  0.265726
2021-09-15 21:34:48.882271 : Epoch  4, Batch    277, Loss  0.608976, Average Loss  0.611301, Time  0.234552
2021-09-15 21:34:50.387120 : Epoch  4, Batch    278, Loss  0.613975, Average Loss  0.611327, Time  0.234493
2021-09-15 21:34:50.884927 : Epoch  3, Batch    172, Loss  0.882860, Average Loss  0.869985, Time  0.265426
2021-09-15 21:34:51.900124 : Epoch  4, Batch    279, Loss  0.600386, Average Loss  0.611273, Time  0.234469
2021-09-15 21:34:53.413074 : Epoch  4, Batch    280, Loss  0.599687, Average Loss  0.611135, Time  0.234215
2021-09-15 21:34:53.864569 : Epoch  3, Batch    173, Loss  0.870535, Average Loss  0.869980, Time  0.267420
2021-09-15 21:34:54.919290 : Epoch  4, Batch    281, Loss  0.622748, Average Loss  0.611186, Time  0.234064
2021-09-15 21:34:56.415193 : Epoch  4, Batch    282, Loss  0.604062, Average Loss  0.611100, Time  0.234383
2021-09-15 21:34:56.826353 : Epoch  3, Batch    174, Loss  0.874743, Average Loss  0.869974, Time  0.265104
2021-09-15 21:34:57.912825 : Epoch  4, Batch    283, Loss  0.613881, Average Loss  0.611088, Time  0.234627
2021-09-15 21:34:59.415745 : Epoch  4, Batch    284, Loss  0.605980, Average Loss  0.611069, Time  0.234252
2021-09-15 21:34:59.812068 : Epoch  3, Batch    175, Loss  0.886012, Average Loss  0.870034, Time  0.266212
2021-09-15 21:35:00.910038 : Epoch  4, Batch    285, Loss  0.611654, Average Loss  0.611090, Time  0.234758
2021-09-15 21:35:02.415755 : Epoch  4, Batch    286, Loss  0.615626, Average Loss  0.611116, Time  0.234371
2021-09-15 21:35:02.797553 : Epoch  3, Batch    176, Loss  0.880895, Average Loss  0.869993, Time  0.265115
2021-09-15 21:35:03.914202 : Epoch  4, Batch    287, Loss  0.603740, Average Loss  0.611095, Time  0.234580
2021-09-15 21:35:05.419922 : Epoch  4, Batch    288, Loss  0.599406, Average Loss  0.611047, Time  0.234748
2021-09-15 21:35:05.767858 : Epoch  3, Batch    177, Loss  0.886823, Average Loss  0.870008, Time  0.265218
2021-09-15 21:35:06.907002 : Epoch  4, Batch    289, Loss  0.614366, Average Loss  0.611043, Time  0.234168
2021-09-15 21:35:08.412712 : Epoch  4, Batch    290, Loss  0.601690, Average Loss  0.611008, Time  0.234412
2021-09-15 21:35:08.751294 : Epoch  3, Batch    178, Loss  0.878374, Average Loss  0.870047, Time  0.265577
2021-09-15 21:35:09.916353 : Epoch  4, Batch    291, Loss  0.613926, Average Loss  0.610969, Time  0.234938
2021-09-15 21:35:11.412214 : Epoch  4, Batch    292, Loss  0.600969, Average Loss  0.610943, Time  0.234869
2021-09-15 21:35:11.746415 : Epoch  3, Batch    179, Loss  0.864753, Average Loss  0.869995, Time  0.274035
2021-09-15 21:35:12.905244 : Epoch  4, Batch    293, Loss  0.607981, Average Loss  0.610978, Time  0.235705
2021-09-15 21:35:14.405752 : Epoch  4, Batch    294, Loss  0.611473, Average Loss  0.611036, Time  0.234551
2021-09-15 21:35:14.714375 : Epoch  3, Batch    180, Loss  0.888531, Average Loss  0.870182, Time  0.265315
2021-09-15 21:35:15.909330 : Epoch  4, Batch    295, Loss  0.619330, Average Loss  0.611058, Time  0.234631
2021-09-15 21:35:17.406935 : Epoch  4, Batch    296, Loss  0.618816, Average Loss  0.611077, Time  0.234431
2021-09-15 21:35:17.669802 : Epoch  3, Batch    181, Loss  0.858394, Average Loss  0.870238, Time  0.265107
2021-09-15 21:35:18.901313 : Epoch  4, Batch    297, Loss  0.617862, Average Loss  0.611069, Time  0.234543
2021-09-15 21:35:20.385796 : Epoch  4, Batch    298, Loss  0.608962, Average Loss  0.611055, Time  0.234291
2021-09-15 21:35:20.631734 : Epoch  3, Batch    182, Loss  0.859101, Average Loss  0.870226, Time  0.264805
2021-09-15 21:35:21.888058 : Epoch  4, Batch    299, Loss  0.604870, Average Loss  0.611010, Time  0.234574
2021-09-15 21:35:23.380721 : Epoch  4, Batch    300, Loss  0.613043, Average Loss  0.611005, Time  0.234120
2021-09-15 21:35:23.585946 : Epoch  3, Batch    183, Loss  0.860662, Average Loss  0.870264, Time  0.264585
2021-09-15 21:35:24.895979 : Epoch  4, Batch    301, Loss  0.626151, Average Loss  0.611061, Time  0.234189
2021-09-15 21:35:26.385000 : Epoch  4, Batch    302, Loss  0.617706, Average Loss  0.611132, Time  0.234613
2021-09-15 21:35:26.564192 : Epoch  3, Batch    184, Loss  0.846801, Average Loss  0.870159, Time  0.266010
2021-09-15 21:35:27.882138 : Epoch  4, Batch    303, Loss  0.608670, Average Loss  0.611111, Time  0.234652
2021-09-15 21:35:29.381732 : Epoch  4, Batch    304, Loss  0.609977, Average Loss  0.611095, Time  0.234528
2021-09-15 21:35:29.572833 : Epoch  3, Batch    185, Loss  0.861117, Average Loss  0.870101, Time  0.265706
2021-09-15 21:35:30.871959 : Epoch  4, Batch    305, Loss  0.615322, Average Loss  0.611100, Time  0.234346
2021-09-15 21:35:32.370807 : Epoch  4, Batch    306, Loss  0.610093, Average Loss  0.611077, Time  0.234510
2021-09-15 21:35:32.530478 : Epoch  3, Batch    186, Loss  0.847717, Average Loss  0.870100, Time  0.266229
2021-09-15 21:35:33.870200 : Epoch  4, Batch    307, Loss  0.622327, Average Loss  0.611177, Time  0.234430
2021-09-15 21:35:35.368963 : Epoch  4, Batch    308, Loss  0.604594, Average Loss  0.611131, Time  0.234531
2021-09-15 21:35:35.550919 : Epoch  3, Batch    187, Loss  0.882950, Average Loss  0.870156, Time  0.265247
2021-09-15 21:35:36.874232 : Epoch  4, Batch    309, Loss  0.613465, Average Loss  0.611093, Time  0.234205
2021-09-15 21:35:38.536724 : Epoch  3, Batch    188, Loss  0.873242, Average Loss  0.870183, Time  0.265725
2021-09-15 21:35:40.739906 : Epoch  4, Batch    310, Loss  0.616942, Average Loss  0.611099, Time  0.264432
2021-09-15 21:35:42.231260 : Epoch  4, Batch    311, Loss  0.611019, Average Loss  0.611084, Time  0.238262
2021-09-15 21:35:43.713004 : Epoch  4, Batch    312, Loss  0.606722, Average Loss  0.611044, Time  0.234238
2021-09-15 21:35:45.207103 : Epoch  4, Batch    313, Loss  0.603648, Average Loss  0.611006, Time  0.234221
2021-09-15 21:35:46.706961 : Epoch  4, Batch    314, Loss  0.606315, Average Loss  0.611045, Time  0.234554
2021-09-15 21:35:48.197788 : Epoch  4, Batch    315, Loss  0.620098, Average Loss  0.611079, Time  0.234243
2021-09-15 21:35:49.687166 : Epoch  4, Batch    316, Loss  0.617944, Average Loss  0.611075, Time  0.234002
2021-09-15 21:35:51.182821 : Epoch  4, Batch    317, Loss  0.613629, Average Loss  0.611089, Time  0.234529
2021-09-15 21:35:52.669148 : Epoch  4, Batch    318, Loss  0.617325, Average Loss  0.611163, Time  0.233858
2021-09-15 21:35:54.163030 : Epoch  4, Batch    319, Loss  0.609694, Average Loss  0.611185, Time  0.234071
2021-09-15 21:35:55.673747 : Epoch  4, Batch    320, Loss  0.615768, Average Loss  0.611230, Time  0.235392
2021-09-15 21:35:57.164893 : Epoch  4, Batch    321, Loss  0.605984, Average Loss  0.611218, Time  0.234513
2021-09-15 21:35:58.654366 : Epoch  4, Batch    322, Loss  0.615324, Average Loss  0.611222, Time  0.234771
2021-09-15 21:36:00.147039 : Epoch  4, Batch    323, Loss  0.614454, Average Loss  0.611217, Time  0.234489
2021-09-15 21:36:01.635023 : Epoch  4, Batch    324, Loss  0.600032, Average Loss  0.611164, Time  0.234077
2021-09-15 21:36:03.125925 : Epoch  4, Batch    325, Loss  0.596506, Average Loss  0.611099, Time  0.234221
2021-09-15 21:36:04.619765 : Epoch  4, Batch    326, Loss  0.610633, Average Loss  0.611076, Time  0.234234
2021-09-15 21:36:06.104972 : Epoch  4, Batch    327, Loss  0.621371, Average Loss  0.611097, Time  0.234055
2021-09-15 21:36:07.598055 : Epoch  4, Batch    328, Loss  0.617207, Average Loss  0.611152, Time  0.233941
2021-09-15 21:36:09.085988 : Epoch  4, Batch    329, Loss  0.622820, Average Loss  0.611192, Time  0.234205
2021-09-15 21:36:10.582847 : Epoch  4, Batch    330, Loss  0.613710, Average Loss  0.611177, Time  0.234439
2021-09-15 21:36:12.080159 : Epoch  4, Batch    331, Loss  0.615599, Average Loss  0.611163, Time  0.234088
2021-09-15 21:36:13.574938 : Epoch  4, Batch    332, Loss  0.608206, Average Loss  0.611184, Time  0.234363
2021-09-15 21:36:15.079939 : Epoch  4, Batch    333, Loss  0.619620, Average Loss  0.611208, Time  0.234129
2021-09-15 21:36:16.577156 : Epoch  4, Batch    334, Loss  0.607993, Average Loss  0.611158, Time  0.234163
2021-09-15 21:36:18.072698 : Epoch  4, Batch    335, Loss  0.619201, Average Loss  0.611181, Time  0.235135
2021-09-15 21:36:19.574700 : Epoch  4, Batch    336, Loss  0.608067, Average Loss  0.611152, Time  0.237682
2021-09-15 21:36:21.071915 : Epoch  4, Batch    337, Loss  0.613779, Average Loss  0.611149, Time  0.234962
2021-09-15 21:36:22.566950 : Epoch  4, Batch    338, Loss  0.610261, Average Loss  0.611104, Time  0.234384
2021-09-15 21:36:24.067794 : Epoch  4, Batch    339, Loss  0.606886, Average Loss  0.611005, Time  0.235076
2021-09-15 21:37:19.933691 : CheckPoint: Validation Loss  0.00025418, Best Loss  0.00024924
2021-09-15 21:37:21.448722 : Epoch  4, Batch    340, Loss  0.612088, Average Loss  0.611022, Time  0.234613
2021-09-15 21:37:22.957884 : Epoch  4, Batch    341, Loss  0.609263, Average Loss  0.610988, Time  0.234186
2021-09-15 21:37:24.463738 : Epoch  4, Batch    342, Loss  0.608945, Average Loss  0.610947, Time  0.234260
2021-09-15 21:37:25.965705 : Epoch  4, Batch    343, Loss  0.603811, Average Loss  0.610890, Time  0.234148
2021-09-15 21:37:27.492995 : Epoch  4, Batch    344, Loss  0.601808, Average Loss  0.610902, Time  0.234123
2021-09-15 21:37:28.999064 : Epoch  4, Batch    345, Loss  0.607084, Average Loss  0.610887, Time  0.234118
2021-09-15 21:37:30.499744 : Epoch  4, Batch    346, Loss  0.621404, Average Loss  0.610909, Time  0.234047
2021-09-15 21:37:32.003941 : Epoch  4, Batch    347, Loss  0.605005, Average Loss  0.610875, Time  0.234530
2021-09-15 21:37:33.502731 : Epoch  4, Batch    348, Loss  0.615002, Average Loss  0.610923, Time  0.234548
2021-09-15 21:37:35.005272 : Epoch  4, Batch    349, Loss  0.600389, Average Loss  0.610847, Time  0.234128
2021-09-15 21:37:36.513237 : Epoch  4, Batch    350, Loss  0.600910, Average Loss  0.610811, Time  0.234172
2021-09-15 21:37:38.023093 : Epoch  4, Batch    351, Loss  0.600153, Average Loss  0.610777, Time  0.234979
2021-09-15 21:37:39.526203 : Epoch  4, Batch    352, Loss  0.596227, Average Loss  0.610693, Time  0.234390
2021-09-15 21:37:41.030985 : Epoch  4, Batch    353, Loss  0.608437, Average Loss  0.610675, Time  0.234054
2021-09-15 21:37:42.540926 : Epoch  4, Batch    354, Loss  0.611705, Average Loss  0.610672, Time  0.234481
2021-09-15 21:37:44.049251 : Epoch  4, Batch    355, Loss  0.608215, Average Loss  0.610632, Time  0.234841
2021-09-15 21:37:45.555882 : Epoch  4, Batch    356, Loss  0.619721, Average Loss  0.610685, Time  0.234310
2021-09-15 21:37:47.057004 : Epoch  4, Batch    357, Loss  0.610559, Average Loss  0.610654, Time  0.234121
2021-09-15 21:37:48.554970 : Epoch  4, Batch    358, Loss  0.628434, Average Loss  0.610732, Time  0.234584
2021-09-15 21:37:50.058285 : Epoch  4, Batch    359, Loss  0.606107, Average Loss  0.610652, Time  0.234511
2021-09-15 21:37:51.564821 : Epoch  4, Batch    360, Loss  0.619384, Average Loss  0.610655, Time  0.234121
2021-09-15 21:37:53.081973 : Epoch  4, Batch    361, Loss  0.615887, Average Loss  0.610650, Time  0.234302
2021-09-15 21:37:54.590903 : Epoch  4, Batch    362, Loss  0.612015, Average Loss  0.610673, Time  0.234107
2021-09-15 21:37:56.100793 : Epoch  4, Batch    363, Loss  0.611438, Average Loss  0.610718, Time  0.234443
2021-09-15 21:37:57.596754 : Epoch  4, Batch    364, Loss  0.599447, Average Loss  0.610660, Time  0.234350
2021-09-15 21:37:59.094912 : Epoch  4, Batch    365, Loss  0.601882, Average Loss  0.610557, Time  0.234338
2021-09-15 21:38:00.598150 : Epoch  4, Batch    366, Loss  0.616400, Average Loss  0.610540, Time  0.234299
2021-09-15 21:38:02.101903 : Epoch  4, Batch    367, Loss  0.599434, Average Loss  0.610495, Time  0.234344
2021-09-15 21:38:03.599264 : Epoch  4, Batch    368, Loss  0.599617, Average Loss  0.610453, Time  0.234473
2021-09-15 21:38:05.105774 : Epoch  4, Batch    369, Loss  0.609543, Average Loss  0.610446, Time  0.234406
2021-09-15 21:38:06.612785 : Epoch  4, Batch    370, Loss  0.603234, Average Loss  0.610455, Time  0.233986
2021-09-15 21:38:08.114976 : Epoch  4, Batch    371, Loss  0.612908, Average Loss  0.610477, Time  0.234177
2021-09-15 21:38:09.613953 : Epoch  4, Batch    372, Loss  0.597140, Average Loss  0.610396, Time  0.234428
2021-09-15 21:38:11.113056 : Epoch  4, Batch    373, Loss  0.615279, Average Loss  0.610415, Time  0.234185
2021-09-15 21:38:12.607926 : Epoch  4, Batch    374, Loss  0.609319, Average Loss  0.610459, Time  0.237859
2021-09-15 21:38:14.110778 : Epoch  4, Batch    375, Loss  0.609672, Average Loss  0.610488, Time  0.234269
2021-09-15 21:38:15.617769 : Epoch  4, Batch    376, Loss  0.612407, Average Loss  0.610498, Time  0.234100
2021-09-15 21:38:17.128582 : Epoch  4, Batch    377, Loss  0.607563, Average Loss  0.610436, Time  0.234534
2021-09-15 21:38:18.631850 : Epoch  4, Batch    378, Loss  0.611556, Average Loss  0.610470, Time  0.234459
2021-09-15 21:38:20.142968 : Epoch  4, Batch    379, Loss  0.612326, Average Loss  0.610467, Time  0.234431
2021-09-15 21:38:21.649738 : Epoch  4, Batch    380, Loss  0.598027, Average Loss  0.610398, Time  0.233987
2021-09-15 21:38:23.153127 : Epoch  4, Batch    381, Loss  0.606042, Average Loss  0.610374, Time  0.234151
2021-09-15 21:38:24.650120 : Epoch  4, Batch    382, Loss  0.613984, Average Loss  0.610302, Time  0.234384
2021-09-15 21:38:26.153069 : Epoch  4, Batch    383, Loss  0.608048, Average Loss  0.610378, Time  0.234206
2021-09-15 21:38:27.653255 : Epoch  4, Batch    384, Loss  0.604409, Average Loss  0.610381, Time  0.234017
2021-09-15 21:38:29.146987 : Epoch  4, Batch    385, Loss  0.611996, Average Loss  0.610378, Time  0.234159
2021-09-15 21:38:30.656710 : Epoch  4, Batch    386, Loss  0.615574, Average Loss  0.610393, Time  0.234502
2021-09-15 21:38:32.171160 : Epoch  4, Batch    387, Loss  0.598723, Average Loss  0.610373, Time  0.234854
2021-09-15 21:38:33.675807 : Epoch  4, Batch    388, Loss  0.609336, Average Loss  0.610324, Time  0.234154
2021-09-15 21:38:35.175205 : Epoch  4, Batch    389, Loss  0.613680, Average Loss  0.610324, Time  0.234158
2021-09-15 21:38:36.688749 : Epoch  4, Batch    390, Loss  0.605468, Average Loss  0.610322, Time  0.234087
2021-09-15 21:38:38.190794 : Epoch  4, Batch    391, Loss  0.612686, Average Loss  0.610318, Time  0.235248
2021-09-15 21:38:39.698010 : Epoch  4, Batch    392, Loss  0.615100, Average Loss  0.610294, Time  0.234182
2021-09-15 21:38:41.204192 : Epoch  4, Batch    393, Loss  0.598289, Average Loss  0.610237, Time  0.234253
2021-09-15 21:38:42.702397 : Epoch  4, Batch    394, Loss  0.605588, Average Loss  0.610150, Time  0.234614
2021-09-15 21:38:44.199988 : Epoch  4, Batch    395, Loss  0.610995, Average Loss  0.610182, Time  0.234179
2021-09-15 21:38:45.709780 : Epoch  4, Batch    396, Loss  0.598800, Average Loss  0.610132, Time  0.234336
2021-09-15 21:38:47.219718 : Epoch  4, Batch    397, Loss  0.603880, Average Loss  0.610080, Time  0.234680
2021-09-15 21:38:48.716873 : Epoch  4, Batch    398, Loss  0.615142, Average Loss  0.610141, Time  0.234050
2021-09-15 21:38:50.218898 : Epoch  4, Batch    399, Loss  0.616971, Average Loss  0.610186, Time  0.234808
2021-09-15 21:38:51.712565 : Epoch  4, Batch    400, Loss  0.608290, Average Loss  0.610138, Time  0.234330
2021-09-15 21:38:53.219835 : Epoch  4, Batch    401, Loss  0.615323, Average Loss  0.610137, Time  0.234300
2021-09-15 21:38:54.725976 : Epoch  4, Batch    402, Loss  0.604975, Average Loss  0.610104, Time  0.234340
2021-09-15 21:38:56.225637 : Epoch  4, Batch    403, Loss  0.598969, Average Loss  0.610020, Time  0.234649
2021-09-15 21:38:57.729313 : Epoch  4, Batch    404, Loss  0.616491, Average Loss  0.610055, Time  0.234241
2021-09-15 21:38:59.224957 : Epoch  4, Batch    405, Loss  0.608300, Average Loss  0.610044, Time  0.234183
2021-09-15 21:39:00.725929 : Epoch  4, Batch    406, Loss  0.613039, Average Loss  0.610072, Time  0.234372
2021-09-15 21:39:02.224198 : Epoch  4, Batch    407, Loss  0.615939, Average Loss  0.610122, Time  0.234118
2021-09-15 21:39:03.718875 : Epoch  4, Batch    408, Loss  0.604241, Average Loss  0.610051, Time  0.234529
2021-09-15 21:39:05.216753 : Epoch  4, Batch    409, Loss  0.606615, Average Loss  0.610049, Time  0.234679
2021-09-15 21:39:09.053987 : Epoch  4, Batch    410, Loss  0.614019, Average Loss  0.610039, Time  0.266649
2021-09-15 21:39:10.552870 : Epoch  4, Batch    411, Loss  0.608312, Average Loss  0.610031, Time  0.236033
2021-09-15 21:39:12.071940 : Epoch  4, Batch    412, Loss  0.605543, Average Loss  0.609995, Time  0.234175
2021-09-15 21:39:13.572812 : Epoch  4, Batch    413, Loss  0.599933, Average Loss  0.609940, Time  0.234322
2021-09-15 21:39:15.082714 : Epoch  4, Batch    414, Loss  0.604366, Average Loss  0.609922, Time  0.234573
2021-09-15 21:39:16.592899 : Epoch  4, Batch    415, Loss  0.608696, Average Loss  0.609932, Time  0.234845
2021-09-15 21:39:18.090970 : Epoch  4, Batch    416, Loss  0.605353, Average Loss  0.609872, Time  0.234167
2021-09-15 21:39:19.589533 : Epoch  4, Batch    417, Loss  0.612243, Average Loss  0.609879, Time  0.234299
2021-09-15 21:39:21.098988 : Epoch  4, Batch    418, Loss  0.616390, Average Loss  0.609921, Time  0.234394
2021-09-15 21:39:22.612337 : Epoch  4, Batch    419, Loss  0.608781, Average Loss  0.609908, Time  0.234313
2021-09-15 21:39:24.116168 : Epoch  4, Batch    420, Loss  0.621432, Average Loss  0.609924, Time  0.234043
2021-09-15 21:39:25.622760 : Epoch  4, Batch    421, Loss  0.612365, Average Loss  0.609914, Time  0.234791
2021-09-15 21:39:27.125070 : Epoch  4, Batch    422, Loss  0.606607, Average Loss  0.609876, Time  0.233943
2021-09-15 21:39:28.629776 : Epoch  4, Batch    423, Loss  0.624890, Average Loss  0.609987, Time  0.234530
2021-09-15 21:39:30.127818 : Epoch  4, Batch    424, Loss  0.601762, Average Loss  0.609916, Time  0.234725
2021-09-15 21:39:31.620015 : Epoch  4, Batch    425, Loss  0.613991, Average Loss  0.609893, Time  0.235181
2021-09-15 21:39:33.123075 : Epoch  4, Batch    426, Loss  0.613033, Average Loss  0.609920, Time  0.234526
2021-09-15 21:39:34.629082 : Epoch  4, Batch    427, Loss  0.604590, Average Loss  0.609960, Time  0.235148
2021-09-15 21:39:36.129991 : Epoch  4, Batch    428, Loss  0.599542, Average Loss  0.609914, Time  0.234042
2021-09-15 21:39:37.637739 : Epoch  4, Batch    429, Loss  0.605864, Average Loss  0.609830, Time  0.234716
2021-09-15 21:39:39.138044 : Epoch  4, Batch    430, Loss  0.616213, Average Loss  0.609890, Time  0.234221
2021-09-15 21:39:40.637190 : Epoch  4, Batch    431, Loss  0.621093, Average Loss  0.609970, Time  0.234576
2021-09-15 21:39:42.142830 : Epoch  4, Batch    432, Loss  0.619209, Average Loss  0.610063, Time  0.234308
2021-09-15 21:39:43.640700 : Epoch  4, Batch    433, Loss  0.609528, Average Loss  0.610058, Time  0.234229
2021-09-15 21:39:45.144785 : Epoch  4, Batch    434, Loss  0.627725, Average Loss  0.610081, Time  0.234239
2021-09-15 21:39:46.651090 : Epoch  4, Batch    435, Loss  0.615261, Average Loss  0.610085, Time  0.235261
2021-09-15 21:39:48.154820 : Epoch  4, Batch    436, Loss  0.620448, Average Loss  0.610134, Time  0.234508
2021-09-15 21:39:49.649774 : Epoch  4, Batch    437, Loss  0.613013, Average Loss  0.610192, Time  0.234251
2021-09-15 21:39:51.146737 : Epoch  4, Batch    438, Loss  0.602926, Average Loss  0.610203, Time  0.234622
2021-09-15 21:39:52.662776 : Epoch  4, Batch    439, Loss  0.614006, Average Loss  0.610213, Time  0.250100
2021-09-15 21:40:18.811116 : CheckPoint: Validation Loss  0.00029713, Best Loss  0.00029457
2021-09-15 21:40:21.848304 : Epoch  3, Batch    189, Loss  0.864064, Average Loss  0.870137, Time  0.268048
2021-09-15 21:40:24.838618 : Epoch  3, Batch    190, Loss  0.871292, Average Loss  0.870140, Time  0.265375
2021-09-15 21:40:27.823372 : Epoch  3, Batch    191, Loss  0.865895, Average Loss  0.870129, Time  0.265292
2021-09-15 21:40:30.826684 : Epoch  3, Batch    192, Loss  0.865631, Average Loss  0.870073, Time  0.264837
2021-09-15 21:40:33.864122 : Epoch  3, Batch    193, Loss  0.877140, Average Loss  0.869986, Time  0.279109
2021-09-15 21:40:36.873986 : Epoch  3, Batch    194, Loss  0.853887, Average Loss  0.869967, Time  0.265140
2021-09-15 21:40:39.863736 : Epoch  3, Batch    195, Loss  0.892120, Average Loss  0.870115, Time  0.265262
2021-09-15 21:40:42.840857 : Epoch  3, Batch    196, Loss  0.847521, Average Loss  0.870018, Time  0.265245
2021-09-15 21:40:45.864240 : Epoch  3, Batch    197, Loss  0.852124, Average Loss  0.869841, Time  0.265708
2021-09-15 21:40:48.852291 : Epoch  3, Batch    198, Loss  0.864703, Average Loss  0.869844, Time  0.265554
2021-09-15 21:40:48.858692 : CheckPoint: Validation Loss  0.00024934, Best Loss  0.00024924
2021-09-15 21:40:50.411688 : Epoch  4, Batch    440, Loss  0.608260, Average Loss  0.610213, Time  0.235064
2021-09-15 21:40:51.859423 : Epoch  3, Batch    199, Loss  0.862072, Average Loss  0.869841, Time  0.265465
2021-09-15 21:40:51.915060 : Epoch  4, Batch    441, Loss  0.608761, Average Loss  0.610236, Time  0.234427
2021-09-15 21:40:53.420122 : Epoch  4, Batch    442, Loss  0.605485, Average Loss  0.610202, Time  0.234719
2021-09-15 21:40:54.887463 : Epoch  3, Batch    200, Loss  0.828537, Average Loss  0.869733, Time  0.265508
2021-09-15 21:40:54.954943 : Epoch  4, Batch    443, Loss  0.604202, Average Loss  0.610220, Time  0.234205
2021-09-15 21:40:56.470832 : Epoch  4, Batch    444, Loss  0.605253, Average Loss  0.610276, Time  0.234695
2021-09-15 21:40:57.920615 : Epoch  3, Batch    201, Loss  0.879343, Average Loss  0.869865, Time  0.266052
2021-09-15 21:40:57.975192 : Epoch  4, Batch    445, Loss  0.615889, Average Loss  0.610197, Time  0.234010
2021-09-15 21:40:59.480852 : Epoch  4, Batch    446, Loss  0.612452, Average Loss  0.610202, Time  0.234295
2021-09-15 21:41:00.926484 : Epoch  3, Batch    202, Loss  0.906870, Average Loss  0.869998, Time  0.266042
2021-09-15 21:41:00.995197 : Epoch  4, Batch    447, Loss  0.610801, Average Loss  0.610126, Time  0.234708
2021-09-15 21:41:02.525778 : Epoch  4, Batch    448, Loss  0.618937, Average Loss  0.610185, Time  0.234108
2021-09-15 21:41:03.951490 : Epoch  3, Batch    203, Loss  0.873144, Average Loss  0.870033, Time  0.265529
2021-09-15 21:41:04.024009 : Epoch  4, Batch    449, Loss  0.613397, Average Loss  0.610187, Time  0.234578
2021-09-15 21:41:05.524190 : Epoch  4, Batch    450, Loss  0.612193, Average Loss  0.610231, Time  0.234193
2021-09-15 21:41:06.962814 : Epoch  3, Batch    204, Loss  0.883878, Average Loss  0.870060, Time  0.265429
2021-09-15 21:41:07.043044 : Epoch  4, Batch    451, Loss  0.600978, Average Loss  0.610224, Time  0.234288
2021-09-15 21:41:08.551722 : Epoch  4, Batch    452, Loss  0.602584, Average Loss  0.610197, Time  0.235344
2021-09-15 21:41:09.980467 : Epoch  3, Batch    205, Loss  0.888622, Average Loss  0.870091, Time  0.264846
2021-09-15 21:41:10.052187 : Epoch  4, Batch    453, Loss  0.608266, Average Loss  0.610187, Time  0.234111
2021-09-15 21:41:11.549838 : Epoch  4, Batch    454, Loss  0.611541, Average Loss  0.610176, Time  0.234646
2021-09-15 21:41:12.992957 : Epoch  3, Batch    206, Loss  0.870219, Average Loss  0.870035, Time  0.267885
2021-09-15 21:41:13.063918 : Epoch  4, Batch    455, Loss  0.611584, Average Loss  0.610199, Time  0.234253
2021-09-15 21:41:14.564880 : Epoch  4, Batch    456, Loss  0.603058, Average Loss  0.610138, Time  0.234251
2021-09-15 21:41:15.995303 : Epoch  3, Batch    207, Loss  0.862480, Average Loss  0.870103, Time  0.264934
2021-09-15 21:41:16.064779 : Epoch  4, Batch    457, Loss  0.602615, Average Loss  0.610079, Time  0.234210
2021-09-15 21:41:17.569877 : Epoch  4, Batch    458, Loss  0.617006, Average Loss  0.610101, Time  0.234210
2021-09-15 21:41:19.000260 : Epoch  3, Batch    208, Loss  0.853794, Average Loss  0.870079, Time  0.277642
2021-09-15 21:41:19.073138 : Epoch  4, Batch    459, Loss  0.608333, Average Loss  0.610110, Time  0.234267
2021-09-15 21:41:20.577879 : Epoch  4, Batch    460, Loss  0.608591, Average Loss  0.610042, Time  0.234299
2021-09-15 21:41:22.007739 : Epoch  3, Batch    209, Loss  0.865874, Average Loss  0.870117, Time  0.266434
2021-09-15 21:41:22.091856 : Epoch  4, Batch    461, Loss  0.606848, Average Loss  0.610041, Time  0.234686
2021-09-15 21:41:23.592698 : Epoch  4, Batch    462, Loss  0.618139, Average Loss  0.610052, Time  0.234003
2021-09-15 21:41:25.027961 : Epoch  3, Batch    210, Loss  0.856836, Average Loss  0.870064, Time  0.265385
2021-09-15 21:41:25.097911 : Epoch  4, Batch    463, Loss  0.605835, Average Loss  0.610024, Time  0.234151
2021-09-15 21:41:26.610238 : Epoch  4, Batch    464, Loss  0.613133, Average Loss  0.609965, Time  0.234711
2021-09-15 21:41:28.016158 : Epoch  3, Batch    211, Loss  0.868219, Average Loss  0.870053, Time  0.268496
2021-09-15 21:41:28.114996 : Epoch  4, Batch    465, Loss  0.615364, Average Loss  0.610023, Time  0.234289
2021-09-15 21:41:29.612859 : Epoch  4, Batch    466, Loss  0.617423, Average Loss  0.610125, Time  0.234289
2021-09-15 21:41:30.999780 : Epoch  3, Batch    212, Loss  0.878234, Average Loss  0.870180, Time  0.265578
2021-09-15 21:41:31.114709 : Epoch  4, Batch    467, Loss  0.601103, Average Loss  0.610104, Time  0.234402
2021-09-15 21:41:32.602938 : Epoch  4, Batch    468, Loss  0.616785, Average Loss  0.610136, Time  0.234230
2021-09-15 21:41:34.025602 : Epoch  3, Batch    213, Loss  0.866364, Average Loss  0.870128, Time  0.265904
2021-09-15 21:41:34.101418 : Epoch  4, Batch    469, Loss  0.607251, Average Loss  0.610152, Time  0.234836
2021-09-15 21:41:35.610938 : Epoch  4, Batch    470, Loss  0.614230, Average Loss  0.610121, Time  0.234597
2021-09-15 21:41:37.014067 : Epoch  3, Batch    214, Loss  0.869338, Average Loss  0.870112, Time  0.265507
2021-09-15 21:41:37.111166 : Epoch  4, Batch    471, Loss  0.611280, Average Loss  0.610176, Time  0.234130
2021-09-15 21:41:38.602979 : Epoch  4, Batch    472, Loss  0.611547, Average Loss  0.610206, Time  0.234276
2021-09-15 21:41:40.014856 : Epoch  3, Batch    215, Loss  0.842720, Average Loss  0.869915, Time  0.266392
2021-09-15 21:41:40.107077 : Epoch  4, Batch    473, Loss  0.595240, Average Loss  0.610134, Time  0.234381
2021-09-15 21:41:41.617838 : Epoch  4, Batch    474, Loss  0.609306, Average Loss  0.610150, Time  0.234570
2021-09-15 21:41:43.029619 : Epoch  3, Batch    216, Loss  0.870408, Average Loss  0.869965, Time  0.265231
2021-09-15 21:41:43.132205 : Epoch  4, Batch    475, Loss  0.606746, Average Loss  0.610137, Time  0.234770
2021-09-15 21:41:44.630795 : Epoch  4, Batch    476, Loss  0.613983, Average Loss  0.610183, Time  0.234236
2021-09-15 21:41:46.012059 : Epoch  3, Batch    217, Loss  0.877464, Average Loss  0.869905, Time  0.265783
2021-09-15 21:41:46.126041 : Epoch  4, Batch    477, Loss  0.611842, Average Loss  0.610198, Time  0.234137
2021-09-15 21:41:47.619837 : Epoch  4, Batch    478, Loss  0.614149, Average Loss  0.610198, Time  0.234396
2021-09-15 21:41:49.007102 : Epoch  3, Batch    218, Loss  0.879282, Average Loss  0.869823, Time  0.266568
2021-09-15 21:41:49.130840 : Epoch  4, Batch    479, Loss  0.599890, Average Loss  0.610196, Time  0.234081
2021-09-15 21:41:50.628923 : Epoch  4, Batch    480, Loss  0.610893, Average Loss  0.610252, Time  0.234318
2021-09-15 21:41:52.037363 : Epoch  3, Batch    219, Loss  0.861756, Average Loss  0.869783, Time  0.265871
2021-09-15 21:41:52.147823 : Epoch  4, Batch    481, Loss  0.615662, Average Loss  0.610217, Time  0.234907
2021-09-15 21:41:53.639166 : Epoch  4, Batch    482, Loss  0.617439, Average Loss  0.610283, Time  0.234810
2021-09-15 21:41:55.050539 : Epoch  3, Batch    220, Loss  0.862197, Average Loss  0.869735, Time  0.266206
2021-09-15 21:41:55.143732 : Epoch  4, Batch    483, Loss  0.606475, Average Loss  0.610246, Time  0.234344
2021-09-15 21:41:56.638208 : Epoch  4, Batch    484, Loss  0.601201, Average Loss  0.610222, Time  0.234324
2021-09-15 21:41:58.030592 : Epoch  3, Batch    221, Loss  0.900715, Average Loss  0.869882, Time  0.266504
2021-09-15 21:41:58.137240 : Epoch  4, Batch    485, Loss  0.616097, Average Loss  0.610245, Time  0.234341
2021-09-15 21:41:59.643742 : Epoch  4, Batch    486, Loss  0.611992, Average Loss  0.610227, Time  0.234437
2021-09-15 21:42:01.029010 : Epoch  3, Batch    222, Loss  0.895895, Average Loss  0.870048, Time  0.265715
2021-09-15 21:42:01.147978 : Epoch  4, Batch    487, Loss  0.605132, Average Loss  0.610233, Time  0.234305
2021-09-15 21:42:02.641812 : Epoch  4, Batch    488, Loss  0.601998, Average Loss  0.610246, Time  0.234616
2021-09-15 21:42:04.097767 : Epoch  3, Batch    223, Loss  0.872319, Average Loss  0.870189, Time  0.277279
2021-09-15 21:42:04.145807 : Epoch  4, Batch    489, Loss  0.612960, Average Loss  0.610239, Time  0.234200
2021-09-15 21:42:05.650780 : Epoch  4, Batch    490, Loss  0.601068, Average Loss  0.610236, Time  0.234402
2021-09-15 21:42:07.103428 : Epoch  3, Batch    224, Loss  0.878250, Average Loss  0.870286, Time  0.265707
2021-09-15 21:42:07.146296 : Epoch  4, Batch    491, Loss  0.609152, Average Loss  0.610212, Time  0.234256
2021-09-15 21:42:08.661220 : Epoch  4, Batch    492, Loss  0.611978, Average Loss  0.610267, Time  0.234214
2021-09-15 21:42:10.115442 : Epoch  3, Batch    225, Loss  0.876545, Average Loss  0.870333, Time  0.267200
2021-09-15 21:42:10.159161 : Epoch  4, Batch    493, Loss  0.604109, Average Loss  0.610248, Time  0.233942
2021-09-15 21:42:11.659869 : Epoch  4, Batch    494, Loss  0.604235, Average Loss  0.610212, Time  0.234157
2021-09-15 21:42:13.134108 : Epoch  3, Batch    226, Loss  0.864420, Average Loss  0.870341, Time  0.267486
2021-09-15 21:42:13.164198 : Epoch  4, Batch    495, Loss  0.602749, Average Loss  0.610129, Time  0.234004
2021-09-15 21:42:14.664840 : Epoch  4, Batch    496, Loss  0.613991, Average Loss  0.610105, Time  0.234131
2021-09-15 21:42:16.118229 : Epoch  3, Batch    227, Loss  0.864955, Average Loss  0.870326, Time  0.265571
2021-09-15 21:42:16.183166 : Epoch  4, Batch    497, Loss  0.596362, Average Loss  0.609997, Time  0.235626
2021-09-15 21:42:17.694074 : Epoch  4, Batch    498, Loss  0.610792, Average Loss  0.610007, Time  0.234641
2021-09-15 21:42:19.140044 : Epoch  3, Batch    228, Loss  0.873830, Average Loss  0.870373, Time  0.265533
2021-09-15 21:42:19.203088 : Epoch  4, Batch    499, Loss  0.607987, Average Loss  0.610022, Time  0.234433
2021-09-15 21:42:20.719971 : Epoch  4, Batch    500, Loss  0.608763, Average Loss  0.610001, Time  0.234669
2021-09-15 21:42:22.129945 : Epoch  3, Batch    229, Loss  0.856700, Average Loss  0.870231, Time  0.266042
2021-09-15 21:42:22.227235 : Epoch  4, Batch    501, Loss  0.611647, Average Loss  0.609928, Time  0.234470
2021-09-15 21:42:23.730001 : Epoch  4, Batch    502, Loss  0.594719, Average Loss  0.609813, Time  0.234425
2021-09-15 21:42:25.116342 : Epoch  3, Batch    230, Loss  0.872523, Average Loss  0.870170, Time  0.265200
2021-09-15 21:42:25.231973 : Epoch  4, Batch    503, Loss  0.598316, Average Loss  0.609762, Time  0.234457
2021-09-15 21:42:26.732295 : Epoch  4, Batch    504, Loss  0.608890, Average Loss  0.609756, Time  0.234260
2021-09-15 21:42:28.107357 : Epoch  3, Batch    231, Loss  0.863267, Average Loss  0.870214, Time  0.265425
2021-09-15 21:42:28.239066 : Epoch  4, Batch    505, Loss  0.614699, Average Loss  0.609753, Time  0.233997
2021-09-15 21:42:29.737032 : Epoch  4, Batch    506, Loss  0.607745, Average Loss  0.609741, Time  0.234853
2021-09-15 21:42:31.105343 : Epoch  3, Batch    232, Loss  0.875561, Average Loss  0.870318, Time  0.264982
2021-09-15 21:42:31.245050 : Epoch  4, Batch    507, Loss  0.607441, Average Loss  0.609667, Time  0.234248
2021-09-15 21:42:32.741864 : Epoch  4, Batch    508, Loss  0.608340, Average Loss  0.609686, Time  0.234341
2021-09-15 21:42:34.093240 : Epoch  3, Batch    233, Loss  0.847518, Average Loss  0.870178, Time  0.265897
2021-09-15 21:42:34.264802 : Epoch  4, Batch    509, Loss  0.618972, Average Loss  0.609713, Time  0.234312
2021-09-15 21:42:37.094065 : Epoch  3, Batch    234, Loss  0.870396, Average Loss  0.870171, Time  0.266425
2021-09-15 21:42:38.093182 : Epoch  4, Batch    510, Loss  0.598927, Average Loss  0.609623, Time  0.265219
2021-09-15 21:42:39.599709 : Epoch  4, Batch    511, Loss  0.603112, Average Loss  0.609583, Time  0.238184
2021-09-15 21:42:40.115349 : Epoch  3, Batch    235, Loss  0.864450, Average Loss  0.870189, Time  0.265271
2021-09-15 21:42:41.101068 : Epoch  4, Batch    512, Loss  0.622054, Average Loss  0.609660, Time  0.234310
2021-09-15 21:42:42.593853 : Epoch  4, Batch    513, Loss  0.604480, Average Loss  0.609664, Time  0.234328
2021-09-15 21:42:43.120326 : Epoch  3, Batch    236, Loss  0.886485, Average Loss  0.870178, Time  0.266228
2021-09-15 21:42:44.090307 : Epoch  4, Batch    514, Loss  0.618088, Average Loss  0.609723, Time  0.234485
2021-09-15 21:42:45.585894 : Epoch  4, Batch    515, Loss  0.603957, Average Loss  0.609642, Time  0.234647
2021-09-15 21:42:46.139435 : Epoch  3, Batch    237, Loss  0.871158, Average Loss  0.870143, Time  0.263331
2021-09-15 21:42:47.092893 : Epoch  4, Batch    516, Loss  0.608567, Average Loss  0.609596, Time  0.234160
2021-09-15 21:42:48.605067 : Epoch  4, Batch    517, Loss  0.611112, Average Loss  0.609583, Time  0.234815
2021-09-15 21:42:49.160653 : Epoch  3, Batch    238, Loss  0.852059, Average Loss  0.870123, Time  0.272571
2021-09-15 21:42:50.157107 : Epoch  4, Batch    518, Loss  0.614489, Average Loss  0.609569, Time  0.235905
2021-09-15 21:42:51.665100 : Epoch  4, Batch    519, Loss  0.612683, Average Loss  0.609584, Time  0.234099
2021-09-15 21:42:52.184329 : Epoch  3, Batch    239, Loss  0.850260, Average Loss  0.870033, Time  0.265671
2021-09-15 21:42:53.169119 : Epoch  4, Batch    520, Loss  0.611035, Average Loss  0.609560, Time  0.234863
2021-09-15 21:42:54.681108 : Epoch  4, Batch    521, Loss  0.605779, Average Loss  0.609559, Time  0.235154
2021-09-15 21:42:55.140634 : Epoch  3, Batch    240, Loss  0.885244, Average Loss  0.870078, Time  0.266005
2021-09-15 21:42:56.200736 : Epoch  4, Batch    522, Loss  0.595726, Average Loss  0.609461, Time  0.234260
2021-09-15 21:42:57.708721 : Epoch  4, Batch    523, Loss  0.602739, Average Loss  0.609402, Time  0.234604
2021-09-15 21:42:58.146807 : Epoch  3, Batch    241, Loss  0.881686, Average Loss  0.870093, Time  0.264878
2021-09-15 21:42:59.217145 : Epoch  4, Batch    524, Loss  0.602497, Average Loss  0.609415, Time  0.234604
2021-09-15 21:43:00.726675 : Epoch  4, Batch    525, Loss  0.610777, Average Loss  0.609486, Time  0.234728
2021-09-15 21:43:01.183468 : Epoch  3, Batch    242, Loss  0.860955, Average Loss  0.870017, Time  0.266289
2021-09-15 21:43:02.259822 : Epoch  4, Batch    526, Loss  0.610996, Average Loss  0.609488, Time  0.234393
2021-09-15 21:43:03.790006 : Epoch  4, Batch    527, Loss  0.587855, Average Loss  0.609320, Time  0.234884
2021-09-15 21:43:04.181178 : Epoch  3, Batch    243, Loss  0.871736, Average Loss  0.870023, Time  0.266686
2021-09-15 21:43:05.296847 : Epoch  4, Batch    528, Loss  0.604952, Average Loss  0.609259, Time  0.234358
2021-09-15 21:43:06.808741 : Epoch  4, Batch    529, Loss  0.605447, Average Loss  0.609172, Time  0.234143
2021-09-15 21:43:07.189994 : Epoch  3, Batch    244, Loss  0.876892, Average Loss  0.870063, Time  0.265759
2021-09-15 21:43:08.320043 : Epoch  4, Batch    530, Loss  0.617222, Average Loss  0.609190, Time  0.234211
2021-09-15 21:43:09.836697 : Epoch  4, Batch    531, Loss  0.600657, Average Loss  0.609115, Time  0.234833
2021-09-15 21:43:10.217658 : Epoch  3, Batch    245, Loss  0.866036, Average Loss  0.869983, Time  0.263902
2021-09-15 21:43:11.348745 : Epoch  4, Batch    532, Loss  0.617503, Average Loss  0.609162, Time  0.236005
2021-09-15 21:43:12.867766 : Epoch  4, Batch    533, Loss  0.614634, Average Loss  0.609137, Time  0.234295
2021-09-15 21:43:13.215648 : Epoch  3, Batch    246, Loss  0.875426, Average Loss  0.869879, Time  0.267390
2021-09-15 21:43:14.380724 : Epoch  4, Batch    534, Loss  0.615027, Average Loss  0.609172, Time  0.234944
2021-09-15 21:43:15.891882 : Epoch  4, Batch    535, Loss  0.597752, Average Loss  0.609065, Time  0.235365
2021-09-15 21:43:16.192058 : Epoch  3, Batch    247, Loss  0.873061, Average Loss  0.869907, Time  0.265267
2021-09-15 21:43:17.397088 : Epoch  4, Batch    536, Loss  0.612202, Average Loss  0.609085, Time  0.234217
2021-09-15 21:43:18.905324 : Epoch  4, Batch    537, Loss  0.605240, Average Loss  0.609043, Time  0.234071
2021-09-15 21:43:19.212172 : Epoch  3, Batch    248, Loss  0.865801, Average Loss  0.869853, Time  0.265780
2021-09-15 21:43:20.412753 : Epoch  4, Batch    538, Loss  0.601492, Average Loss  0.608999, Time  0.234545
2021-09-15 21:43:21.919722 : Epoch  4, Batch    539, Loss  0.605760, Average Loss  0.608993, Time  0.234282
2021-09-15 21:43:22.184818 : Epoch  3, Batch    249, Loss  0.859015, Average Loss  0.869861, Time  0.265548
2021-09-15 21:43:25.185497 : Epoch  3, Batch    250, Loss  0.868085, Average Loss  0.869938, Time  0.266197
2021-09-15 21:43:28.197473 : Epoch  3, Batch    251, Loss  0.880807, Average Loss  0.869963, Time  0.266555
2021-09-15 21:43:31.215298 : Epoch  3, Batch    252, Loss  0.864471, Average Loss  0.870025, Time  0.266107
2021-09-15 21:43:34.228634 : Epoch  3, Batch    253, Loss  0.837911, Average Loss  0.869847, Time  0.275453
2021-09-15 21:43:37.221916 : Epoch  3, Batch    254, Loss  0.857983, Average Loss  0.869629, Time  0.265529
2021-09-15 21:43:40.223968 : Epoch  3, Batch    255, Loss  0.868682, Average Loss  0.869634, Time  0.265940
2021-09-15 21:43:43.213983 : Epoch  3, Batch    256, Loss  0.870538, Average Loss  0.869669, Time  0.265969
2021-09-15 21:43:46.220745 : Epoch  3, Batch    257, Loss  0.856217, Average Loss  0.869655, Time  0.265079
2021-09-15 21:43:49.215430 : Epoch  3, Batch    258, Loss  0.858410, Average Loss  0.869591, Time  0.265140
2021-09-15 21:43:52.239745 : Epoch  3, Batch    259, Loss  0.873179, Average Loss  0.869579, Time  0.266122
2021-09-15 21:43:55.256353 : Epoch  3, Batch    260, Loss  0.855686, Average Loss  0.869601, Time  0.266036
2021-09-15 21:43:58.238950 : Epoch  3, Batch    261, Loss  0.887956, Average Loss  0.869716, Time  0.264805
2021-09-15 21:44:01.225119 : Epoch  3, Batch    262, Loss  0.836909, Average Loss  0.869564, Time  0.264775
2021-09-15 21:44:04.239768 : Epoch  3, Batch    263, Loss  0.860059, Average Loss  0.869446, Time  0.266315
2021-09-15 21:44:07.234088 : Epoch  3, Batch    264, Loss  0.856777, Average Loss  0.869416, Time  0.265294
2021-09-15 21:44:10.264871 : Epoch  3, Batch    265, Loss  0.871739, Average Loss  0.869470, Time  0.265578
2021-09-15 21:44:13.255085 : Epoch  3, Batch    266, Loss  0.879043, Average Loss  0.869501, Time  0.266102
2021-09-15 21:44:16.275745 : Epoch  3, Batch    267, Loss  0.890715, Average Loss  0.869602, Time  0.266666
2021-09-15 21:44:17.913705 : CheckPoint: Validation Loss  0.00025518, Best Loss  0.00024924
2021-09-15 21:44:19.286395 : Epoch  3, Batch    268, Loss  0.898846, Average Loss  0.869707, Time  0.279142
2021-09-15 21:44:19.471985 : Epoch  4, Batch    540, Loss  0.611365, Average Loss  0.608989, Time  0.270377
2021-09-15 21:44:20.989796 : Epoch  4, Batch    541, Loss  0.602151, Average Loss  0.608954, Time  0.252125
2021-09-15 21:44:22.296361 : Epoch  3, Batch    269, Loss  0.865380, Average Loss  0.869639, Time  0.267571
2021-09-15 21:44:22.500739 : Epoch  4, Batch    542, Loss  0.614248, Average Loss  0.608980, Time  0.239542
2021-09-15 21:44:24.006015 : Epoch  4, Batch    543, Loss  0.607949, Average Loss  0.609001, Time  0.234482
2021-09-15 21:44:25.330134 : Epoch  3, Batch    270, Loss  0.854137, Average Loss  0.869674, Time  0.266691
2021-09-15 21:44:25.516754 : Epoch  4, Batch    544, Loss  0.609575, Average Loss  0.609040, Time  0.234831
2021-09-15 21:44:27.014859 : Epoch  4, Batch    545, Loss  0.605778, Average Loss  0.609033, Time  0.234514
2021-09-15 21:44:28.376641 : Epoch  3, Batch    271, Loss  0.869752, Average Loss  0.869735, Time  0.266843
2021-09-15 21:44:28.524748 : Epoch  4, Batch    546, Loss  0.606612, Average Loss  0.608959, Time  0.234294
2021-09-15 21:44:30.029704 : Epoch  4, Batch    547, Loss  0.610090, Average Loss  0.608985, Time  0.234807
2021-09-15 21:44:31.373822 : Epoch  3, Batch    272, Loss  0.874489, Average Loss  0.869767, Time  0.265843
2021-09-15 21:44:31.542739 : Epoch  4, Batch    548, Loss  0.591482, Average Loss  0.608867, Time  0.234154
2021-09-15 21:44:33.043764 : Epoch  4, Batch    549, Loss  0.602954, Average Loss  0.608880, Time  0.234711
2021-09-15 21:44:34.385419 : Epoch  3, Batch    273, Loss  0.889893, Average Loss  0.869782, Time  0.265232
2021-09-15 21:44:34.562204 : Epoch  4, Batch    550, Loss  0.613525, Average Loss  0.608943, Time  0.234700
2021-09-15 21:44:36.062724 : Epoch  4, Batch    551, Loss  0.597896, Average Loss  0.608932, Time  0.234340
2021-09-15 21:44:37.392098 : Epoch  3, Batch    274, Loss  0.891806, Average Loss  0.869866, Time  0.265030
2021-09-15 21:44:37.568318 : Epoch  4, Batch    552, Loss  0.603362, Average Loss  0.608968, Time  0.234017
2021-09-15 21:44:39.075883 : Epoch  4, Batch    553, Loss  0.620243, Average Loss  0.609027, Time  0.235047
2021-09-15 21:44:40.415641 : Epoch  3, Batch    275, Loss  0.847607, Average Loss  0.869642, Time  0.265047
2021-09-15 21:44:40.598048 : Epoch  4, Batch    554, Loss  0.616642, Average Loss  0.609051, Time  0.235070
2021-09-15 21:44:42.100043 : Epoch  4, Batch    555, Loss  0.603934, Average Loss  0.609030, Time  0.234115
2021-09-15 21:44:43.433018 : Epoch  3, Batch    276, Loss  0.866905, Average Loss  0.869467, Time  0.265809
2021-09-15 21:44:43.612352 : Epoch  4, Batch    556, Loss  0.616660, Average Loss  0.609015, Time  0.234248
2021-09-15 21:44:45.110067 : Epoch  4, Batch    557, Loss  0.620876, Average Loss  0.609066, Time  0.234319
2021-09-15 21:44:46.406815 : Epoch  3, Batch    277, Loss  0.860523, Average Loss  0.869330, Time  0.266005
2021-09-15 21:44:46.613197 : Epoch  4, Batch    558, Loss  0.610798, Average Loss  0.608978, Time  0.236053
2021-09-15 21:44:48.115810 : Epoch  4, Batch    559, Loss  0.611399, Average Loss  0.609004, Time  0.235190
2021-09-15 21:44:49.417221 : Epoch  3, Batch    278, Loss  0.856379, Average Loss  0.869117, Time  0.264797
2021-09-15 21:44:49.613211 : Epoch  4, Batch    560, Loss  0.610561, Average Loss  0.608960, Time  0.234104
2021-09-15 21:44:51.109883 : Epoch  4, Batch    561, Loss  0.622442, Average Loss  0.608993, Time  0.234372
2021-09-15 21:44:52.428397 : Epoch  3, Batch    279, Loss  0.887995, Average Loss  0.869216, Time  0.265985
2021-09-15 21:44:52.610061 : Epoch  4, Batch    562, Loss  0.604700, Average Loss  0.608957, Time  0.234052
2021-09-15 21:44:54.114068 : Epoch  4, Batch    563, Loss  0.605197, Average Loss  0.608925, Time  0.234294
2021-09-15 21:44:55.419491 : Epoch  3, Batch    280, Loss  0.876024, Average Loss  0.869343, Time  0.264843
2021-09-15 21:44:55.631790 : Epoch  4, Batch    564, Loss  0.610178, Average Loss  0.608979, Time  0.234903
2021-09-15 21:44:57.129018 : Epoch  4, Batch    565, Loss  0.610376, Average Loss  0.609021, Time  0.234104
2021-09-15 21:44:58.412815 : Epoch  3, Batch    281, Loss  0.861018, Average Loss  0.869333, Time  0.265574
2021-09-15 21:44:58.640359 : Epoch  4, Batch    566, Loss  0.610911, Average Loss  0.608994, Time  0.234432
2021-09-15 21:45:00.136163 : Epoch  4, Batch    567, Loss  0.615035, Average Loss  0.609072, Time  0.234767
2021-09-15 21:45:01.418226 : Epoch  3, Batch    282, Loss  0.885059, Average Loss  0.869449, Time  0.266366
2021-09-15 21:45:01.690177 : Epoch  4, Batch    568, Loss  0.610770, Average Loss  0.609128, Time  0.234897
2021-09-15 21:45:03.195180 : Epoch  4, Batch    569, Loss  0.606425, Average Loss  0.609112, Time  0.234280
2021-09-15 21:45:04.456475 : Epoch  3, Batch    283, Loss  0.866440, Average Loss  0.869484, Time  0.277098
2021-09-15 21:45:04.726736 : Epoch  4, Batch    570, Loss  0.609691, Average Loss  0.609144, Time  0.234270
2021-09-15 21:45:06.220062 : Epoch  4, Batch    571, Loss  0.601299, Average Loss  0.609086, Time  0.234487
2021-09-15 21:45:07.472810 : Epoch  3, Batch    284, Loss  0.856370, Average Loss  0.869424, Time  0.265623
2021-09-15 21:45:07.716733 : Epoch  4, Batch    572, Loss  0.608731, Average Loss  0.609144, Time  0.234011
2021-09-15 21:45:09.219067 : Epoch  4, Batch    573, Loss  0.597391, Average Loss  0.609055, Time  0.234002
2021-09-15 21:45:10.417137 : Epoch  3, Batch    285, Loss  0.849123, Average Loss  0.869360, Time  0.265315
2021-09-15 21:45:10.729939 : Epoch  4, Batch    574, Loss  0.611094, Average Loss  0.609064, Time  0.234066
2021-09-15 21:45:12.237785 : Epoch  4, Batch    575, Loss  0.608389, Average Loss  0.609057, Time  0.234346
2021-09-15 21:45:13.421059 : Epoch  3, Batch    286, Loss  0.875638, Average Loss  0.869420, Time  0.265501
2021-09-15 21:45:13.754126 : Epoch  4, Batch    576, Loss  0.599888, Average Loss  0.608995, Time  0.234474
2021-09-15 21:45:15.257725 : Epoch  4, Batch    577, Loss  0.612999, Average Loss  0.609022, Time  0.235105
2021-09-15 21:45:16.407900 : Epoch  3, Batch    287, Loss  0.877246, Average Loss  0.869511, Time  0.268040
2021-09-15 21:45:16.770172 : Epoch  4, Batch    578, Loss  0.615787, Average Loss  0.609043, Time  0.234638
2021-09-15 21:45:18.257240 : Epoch  4, Batch    579, Loss  0.616122, Average Loss  0.609062, Time  0.234835
2021-09-15 21:45:19.774353 : Epoch  4, Batch    580, Loss  0.618969, Average Loss  0.609167, Time  0.234715
2021-09-15 21:45:21.284093 : Epoch  4, Batch    581, Loss  0.606925, Average Loss  0.609171, Time  0.234607
2021-09-15 21:45:22.787747 : Epoch  4, Batch    582, Loss  0.612585, Average Loss  0.609164, Time  0.233808
2021-09-15 21:45:24.285305 : Epoch  4, Batch    583, Loss  0.615521, Average Loss  0.609202, Time  0.234901
2021-09-15 21:45:25.796218 : Epoch  4, Batch    584, Loss  0.603159, Average Loss  0.609195, Time  0.234026
2021-09-15 21:45:27.295202 : Epoch  4, Batch    585, Loss  0.600145, Average Loss  0.609136, Time  0.234008
2021-09-15 21:45:27.327561 : Epoch  3, Batch    288, Loss  0.874285, Average Loss  0.869480, Time  0.266573
2021-09-15 21:45:28.805725 : Epoch  4, Batch    586, Loss  0.605022, Average Loss  0.609083, Time  0.235344
2021-09-15 21:45:30.311783 : Epoch  4, Batch    587, Loss  0.620091, Average Loss  0.609190, Time  0.234445
2021-09-15 21:45:31.816946 : Epoch  4, Batch    588, Loss  0.592428, Average Loss  0.609106, Time  0.234733
2021-09-15 21:45:33.318910 : Epoch  4, Batch    589, Loss  0.599005, Average Loss  0.609032, Time  0.234484
2021-09-15 21:45:34.823876 : Epoch  4, Batch    590, Loss  0.605559, Average Loss  0.609033, Time  0.234083
2021-09-15 21:45:36.317006 : Epoch  4, Batch    591, Loss  0.621215, Average Loss  0.609075, Time  0.234242
2021-09-15 21:45:37.819808 : Epoch  4, Batch    592, Loss  0.604182, Average Loss  0.609021, Time  0.234264
2021-09-15 21:45:39.328286 : Epoch  4, Batch    593, Loss  0.606146, Average Loss  0.609060, Time  0.234209
2021-09-15 21:45:40.833921 : Epoch  4, Batch    594, Loss  0.610917, Average Loss  0.609087, Time  0.234333
2021-09-15 21:45:42.343783 : Epoch  4, Batch    595, Loss  0.605540, Average Loss  0.609059, Time  0.234162
2021-09-15 21:45:43.850813 : Epoch  4, Batch    596, Loss  0.608711, Average Loss  0.609109, Time  0.234066
2021-09-15 21:45:45.360873 : Epoch  4, Batch    597, Loss  0.600033, Average Loss  0.609090, Time  0.234500
2021-09-15 21:45:46.873138 : Epoch  4, Batch    598, Loss  0.602292, Average Loss  0.609026, Time  0.234360
2021-09-15 21:45:48.393770 : Epoch  4, Batch    599, Loss  0.601720, Average Loss  0.608949, Time  0.235024
2021-09-15 21:45:49.933705 : Epoch  4, Batch    600, Loss  0.609041, Average Loss  0.608953, Time  0.238232
2021-09-15 21:45:51.463938 : Epoch  4, Batch    601, Loss  0.610389, Average Loss  0.608928, Time  0.234855
2021-09-15 21:45:52.976718 : Epoch  4, Batch    602, Loss  0.615656, Average Loss  0.608982, Time  0.235337
2021-09-15 21:45:54.520206 : Epoch  4, Batch    603, Loss  0.621771, Average Loss  0.609096, Time  0.235057
2021-09-15 21:45:56.025814 : Epoch  4, Batch    604, Loss  0.607750, Average Loss  0.609052, Time  0.233954
2021-09-15 21:45:57.564806 : Epoch  4, Batch    605, Loss  0.617393, Average Loss  0.609098, Time  0.234401
2021-09-15 21:45:59.078089 : Epoch  4, Batch    606, Loss  0.615834, Average Loss  0.609111, Time  0.234017
2021-09-15 21:46:00.582825 : Epoch  4, Batch    607, Loss  0.608140, Average Loss  0.609072, Time  0.234351
2021-09-15 21:46:02.094002 : Epoch  4, Batch    608, Loss  0.603838, Average Loss  0.609070, Time  0.234075
2021-09-15 21:46:03.604046 : Epoch  4, Batch    609, Loss  0.595252, Average Loss  0.609014, Time  0.233975
2021-09-15 21:46:07.447770 : Epoch  4, Batch    610, Loss  0.606373, Average Loss  0.608975, Time  0.270355
2021-09-15 21:46:08.959079 : Epoch  4, Batch    611, Loss  0.599238, Average Loss  0.608930, Time  0.250671
2021-09-15 21:46:10.460783 : Epoch  4, Batch    612, Loss  0.610784, Average Loss  0.608956, Time  0.238985
2021-09-15 21:46:11.957101 : Epoch  4, Batch    613, Loss  0.614119, Average Loss  0.609027, Time  0.234360
2021-09-15 21:46:13.463723 : Epoch  4, Batch    614, Loss  0.592293, Average Loss  0.608967, Time  0.234119
2021-09-15 21:46:14.975711 : Epoch  4, Batch    615, Loss  0.616998, Average Loss  0.609008, Time  0.234406
2021-09-15 21:46:16.485451 : Epoch  4, Batch    616, Loss  0.606125, Average Loss  0.609012, Time  0.234134
2021-09-15 21:46:17.984801 : Epoch  4, Batch    617, Loss  0.614072, Average Loss  0.609021, Time  0.234576
2021-09-15 21:46:19.488710 : Epoch  4, Batch    618, Loss  0.610933, Average Loss  0.608994, Time  0.235716
2021-09-15 21:46:20.999777 : Epoch  4, Batch    619, Loss  0.606087, Average Loss  0.608981, Time  0.234221
2021-09-15 21:46:22.511947 : Epoch  4, Batch    620, Loss  0.615473, Average Loss  0.608951, Time  0.234280
2021-09-15 21:46:24.018757 : Epoch  4, Batch    621, Loss  0.612965, Average Loss  0.608954, Time  0.234354
2021-09-15 21:46:25.532868 : Epoch  4, Batch    622, Loss  0.601761, Average Loss  0.608930, Time  0.234548
2021-09-15 21:46:27.040147 : Epoch  4, Batch    623, Loss  0.599320, Average Loss  0.608802, Time  0.234273
2021-09-15 21:46:28.554728 : Epoch  4, Batch    624, Loss  0.614330, Average Loss  0.608865, Time  0.234714
2021-09-15 21:46:30.061141 : Epoch  4, Batch    625, Loss  0.607160, Average Loss  0.608830, Time  0.234520
2021-09-15 21:46:31.566419 : Epoch  4, Batch    626, Loss  0.618088, Average Loss  0.608856, Time  0.234223
2021-09-15 21:46:33.074991 : Epoch  4, Batch    627, Loss  0.615591, Average Loss  0.608911, Time  0.234176
2021-09-15 21:46:34.578881 : Epoch  4, Batch    628, Loss  0.618780, Average Loss  0.609007, Time  0.233927
2021-09-15 21:46:36.080893 : Epoch  4, Batch    629, Loss  0.614609, Average Loss  0.609051, Time  0.234507
2021-09-15 21:46:37.596784 : Epoch  4, Batch    630, Loss  0.615361, Average Loss  0.609046, Time  0.234024
2021-09-15 21:46:39.109993 : Epoch  4, Batch    631, Loss  0.613535, Average Loss  0.609009, Time  0.234533
2021-09-15 21:46:40.636970 : Epoch  4, Batch    632, Loss  0.614427, Average Loss  0.608985, Time  0.234027
2021-09-15 21:46:42.147032 : Epoch  4, Batch    633, Loss  0.603612, Average Loss  0.608955, Time  0.234272
2021-09-15 21:46:43.662842 : Epoch  4, Batch    634, Loss  0.609572, Average Loss  0.608864, Time  0.234383
2021-09-15 21:46:45.185817 : Epoch  4, Batch    635, Loss  0.616170, Average Loss  0.608869, Time  0.235046
2021-09-15 21:46:46.689217 : Epoch  4, Batch    636, Loss  0.618895, Average Loss  0.608861, Time  0.234295
2021-09-15 21:46:48.200133 : Epoch  4, Batch    637, Loss  0.600128, Average Loss  0.608797, Time  0.234082
2021-09-15 21:46:49.705846 : Epoch  4, Batch    638, Loss  0.595234, Average Loss  0.608758, Time  0.234576
2021-09-15 21:46:53.522067 : Epoch  4, Batch    639, Loss  0.610820, Average Loss  0.608742, Time  0.263374
2021-09-15 21:47:49.369692 : CheckPoint: Validation Loss  0.00025820, Best Loss  0.00024924
2021-09-15 21:47:50.881978 : Epoch  4, Batch    640, Loss  0.613520, Average Loss  0.608769, Time  0.235085
2021-09-15 21:47:52.407882 : Epoch  4, Batch    641, Loss  0.596840, Average Loss  0.608709, Time  0.234263
2021-09-15 21:47:53.928971 : Epoch  4, Batch    642, Loss  0.606559, Average Loss  0.608714, Time  0.234721
2021-09-15 21:47:55.449950 : Epoch  4, Batch    643, Loss  0.599651, Average Loss  0.608692, Time  0.234264
2021-09-15 21:47:56.980925 : Epoch  4, Batch    644, Loss  0.612328, Average Loss  0.608727, Time  0.234865
2021-09-15 21:47:58.504982 : Epoch  4, Batch    645, Loss  0.613391, Average Loss  0.608714, Time  0.234436
2021-09-15 21:48:00.025393 : Epoch  4, Batch    646, Loss  0.597967, Average Loss  0.608642, Time  0.234158
2021-09-15 21:48:01.550800 : Epoch  4, Batch    647, Loss  0.622189, Average Loss  0.608699, Time  0.234422
2021-09-15 21:48:03.073192 : Epoch  4, Batch    648, Loss  0.606591, Average Loss  0.608637, Time  0.234450
2021-09-15 21:48:04.596184 : Epoch  4, Batch    649, Loss  0.612612, Average Loss  0.608633, Time  0.235330
2021-09-15 21:48:06.123751 : Epoch  4, Batch    650, Loss  0.604552, Average Loss  0.608595, Time  0.234131
2021-09-15 21:48:07.655134 : Epoch  4, Batch    651, Loss  0.605652, Average Loss  0.608618, Time  0.234613
2021-09-15 21:48:09.181792 : Epoch  4, Batch    652, Loss  0.610722, Average Loss  0.608659, Time  0.234097
2021-09-15 21:48:10.698905 : Epoch  4, Batch    653, Loss  0.604128, Average Loss  0.608638, Time  0.234276
2021-09-15 21:48:12.218149 : Epoch  4, Batch    654, Loss  0.606476, Average Loss  0.608613, Time  0.234972
2021-09-15 21:48:13.743079 : Epoch  4, Batch    655, Loss  0.597761, Average Loss  0.608544, Time  0.234164
2021-09-15 21:48:15.269958 : Epoch  4, Batch    656, Loss  0.602215, Average Loss  0.608540, Time  0.234325
2021-09-15 21:48:16.788191 : Epoch  4, Batch    657, Loss  0.604919, Average Loss  0.608551, Time  0.233997
2021-09-15 21:48:18.309951 : Epoch  4, Batch    658, Loss  0.619098, Average Loss  0.608562, Time  0.234006
2021-09-15 21:48:19.827985 : Epoch  4, Batch    659, Loss  0.607805, Average Loss  0.608559, Time  0.234198
2021-09-15 21:48:21.355898 : Epoch  4, Batch    660, Loss  0.608540, Average Loss  0.608559, Time  0.234517
2021-09-15 21:48:22.877203 : Epoch  4, Batch    661, Loss  0.609137, Average Loss  0.608570, Time  0.234630
2021-09-15 21:48:24.398289 : Epoch  4, Batch    662, Loss  0.608956, Average Loss  0.608524, Time  0.234200
2021-09-15 21:48:25.917740 : Epoch  4, Batch    663, Loss  0.610018, Average Loss  0.608545, Time  0.234281
2021-09-15 21:48:27.440983 : Epoch  4, Batch    664, Loss  0.601847, Average Loss  0.608489, Time  0.234364
2021-09-15 21:48:28.970769 : Epoch  4, Batch    665, Loss  0.611870, Average Loss  0.608471, Time  0.235195
2021-09-15 21:48:30.488679 : Epoch  4, Batch    666, Loss  0.602239, Average Loss  0.608396, Time  0.234582
2021-09-15 21:48:32.008139 : Epoch  4, Batch    667, Loss  0.619233, Average Loss  0.608486, Time  0.234273
2021-09-15 21:48:33.529968 : Epoch  4, Batch    668, Loss  0.608821, Average Loss  0.608446, Time  0.234814
2021-09-15 21:48:35.045217 : Epoch  4, Batch    669, Loss  0.607885, Average Loss  0.608450, Time  0.234262
2021-09-15 21:48:36.565853 : Epoch  4, Batch    670, Loss  0.617670, Average Loss  0.608467, Time  0.234937
2021-09-15 21:48:38.089826 : Epoch  4, Batch    671, Loss  0.592419, Average Loss  0.608372, Time  0.234405
2021-09-15 21:48:39.607948 : Epoch  4, Batch    672, Loss  0.605336, Average Loss  0.608341, Time  0.234232
2021-09-15 21:48:41.127135 : Epoch  4, Batch    673, Loss  0.612942, Average Loss  0.608430, Time  0.234502
2021-09-15 21:48:42.646697 : Epoch  4, Batch    674, Loss  0.606714, Average Loss  0.608417, Time  0.234632
2021-09-15 21:48:44.162736 : Epoch  4, Batch    675, Loss  0.608202, Average Loss  0.608424, Time  0.235045
2021-09-15 21:48:45.686088 : Epoch  4, Batch    676, Loss  0.609048, Average Loss  0.608400, Time  0.233942
2021-09-15 21:48:47.202035 : Epoch  4, Batch    677, Loss  0.615809, Average Loss  0.608419, Time  0.234314
2021-09-15 21:48:48.712978 : Epoch  4, Batch    678, Loss  0.607611, Average Loss  0.608387, Time  0.233888
2021-09-15 21:48:50.238035 : Epoch  4, Batch    679, Loss  0.608543, Average Loss  0.608430, Time  0.234984
2021-09-15 21:48:51.758941 : Epoch  4, Batch    680, Loss  0.607821, Average Loss  0.608415, Time  0.234382
2021-09-15 21:48:53.285123 : Epoch  4, Batch    681, Loss  0.625905, Average Loss  0.608466, Time  0.234256
2021-09-15 21:48:54.808273 : Epoch  4, Batch    682, Loss  0.611141, Average Loss  0.608434, Time  0.234637
2021-09-15 21:48:56.335972 : Epoch  4, Batch    683, Loss  0.596583, Average Loss  0.608385, Time  0.234097
2021-09-15 21:48:57.859669 : Epoch  4, Batch    684, Loss  0.608703, Average Loss  0.608422, Time  0.234416
2021-09-15 21:48:59.383265 : Epoch  4, Batch    685, Loss  0.607642, Average Loss  0.608380, Time  0.234664
2021-09-15 21:49:00.912696 : Epoch  4, Batch    686, Loss  0.606880, Average Loss  0.608355, Time  0.234731
2021-09-15 21:49:01.052099 : Epoch  4, Batch    687, Loss  0.506524, Average Loss  0.607861, Time  0.090172
2021-09-15 21:49:02.555881 : Epoch  4, Batch    688, Loss  0.604052, Average Loss  0.607872, Time  0.235098
2021-09-15 21:49:04.079278 : Epoch  4, Batch    689, Loss  0.628909, Average Loss  0.607951, Time  0.235484
2021-09-15 21:49:05.594859 : Epoch  4, Batch    690, Loss  0.625514, Average Loss  0.608074, Time  0.234487
2021-09-15 21:49:07.117718 : Epoch  4, Batch    691, Loss  0.618320, Average Loss  0.608120, Time  0.235348
2021-09-15 21:49:08.624142 : Epoch  4, Batch    692, Loss  0.620580, Average Loss  0.608163, Time  0.234131
2021-09-15 21:49:10.133005 : Epoch  4, Batch    693, Loss  0.606849, Average Loss  0.608176, Time  0.234030
2021-09-15 21:49:11.649196 : Epoch  4, Batch    694, Loss  0.616072, Average Loss  0.608235, Time  0.233901
2021-09-15 21:49:13.168537 : Epoch  4, Batch    695, Loss  0.613233, Average Loss  0.608288, Time  0.237222
2021-09-15 21:49:14.703948 : Epoch  4, Batch    696, Loss  0.616652, Average Loss  0.608301, Time  0.234305
2021-09-15 21:49:16.252064 : Epoch  4, Batch    697, Loss  0.615476, Average Loss  0.608397, Time  0.234397
2021-09-15 21:49:17.774643 : Epoch  4, Batch    698, Loss  0.613248, Average Loss  0.608409, Time  0.234481
2021-09-15 21:49:19.316135 : Epoch  4, Batch    699, Loss  0.608285, Average Loss  0.608411, Time  0.235013
2021-09-15 21:49:20.859841 : Epoch  4, Batch    700, Loss  0.621592, Average Loss  0.608475, Time  0.234490
2021-09-15 21:49:22.407353 : Epoch  4, Batch    701, Loss  0.610914, Average Loss  0.608471, Time  0.234261
2021-09-15 21:49:23.919094 : Epoch  4, Batch    702, Loss  0.606802, Average Loss  0.608531, Time  0.234362
2021-09-15 21:49:25.436862 : Epoch  4, Batch    703, Loss  0.618955, Average Loss  0.608635, Time  0.235445
2021-09-15 21:49:26.952056 : Epoch  4, Batch    704, Loss  0.611127, Average Loss  0.608646, Time  0.234436
2021-09-15 21:49:28.477243 : Epoch  4, Batch    705, Loss  0.604636, Average Loss  0.608595, Time  0.234798
2021-09-15 21:49:29.994014 : Epoch  4, Batch    706, Loss  0.611830, Average Loss  0.608616, Time  0.234398
2021-09-15 21:49:31.516097 : Epoch  4, Batch    707, Loss  0.611895, Average Loss  0.608638, Time  0.234103
2021-09-15 21:49:33.048377 : Epoch  4, Batch    708, Loss  0.618085, Average Loss  0.608687, Time  0.234636
2021-09-15 21:49:34.561914 : Epoch  4, Batch    709, Loss  0.617144, Average Loss  0.608678, Time  0.234297
2021-09-15 21:49:36.087054 : Epoch  4, Batch    710, Loss  0.609960, Average Loss  0.608733, Time  0.234196
2021-09-15 21:49:39.899976 : Epoch  4, Batch    711, Loss  0.606577, Average Loss  0.608750, Time  0.265923
2021-09-15 21:49:41.413988 : Epoch  4, Batch    712, Loss  0.611609, Average Loss  0.608698, Time  0.237162
2021-09-15 21:49:42.929024 : Epoch  4, Batch    713, Loss  0.588265, Average Loss  0.608617, Time  0.235497
2021-09-15 21:49:44.433810 : Epoch  4, Batch    714, Loss  0.624978, Average Loss  0.608651, Time  0.234684
2021-09-15 21:49:45.956106 : Epoch  4, Batch    715, Loss  0.626743, Average Loss  0.608765, Time  0.234492
2021-09-15 21:49:47.466808 : Epoch  4, Batch    716, Loss  0.603785, Average Loss  0.608741, Time  0.234408
2021-09-15 21:49:48.980137 : Epoch  4, Batch    717, Loss  0.608281, Average Loss  0.608727, Time  0.234729
2021-09-15 21:49:50.500884 : Epoch  4, Batch    718, Loss  0.610216, Average Loss  0.608706, Time  0.234968
2021-09-15 21:49:52.019064 : Epoch  4, Batch    719, Loss  0.605171, Average Loss  0.608668, Time  0.235380
2021-09-15 21:49:53.539741 : Epoch  4, Batch    720, Loss  0.602803, Average Loss  0.608627, Time  0.235064
2021-09-15 21:49:55.044183 : Epoch  4, Batch    721, Loss  0.608015, Average Loss  0.608638, Time  0.234282
2021-09-15 21:49:56.550852 : Epoch  4, Batch    722, Loss  0.609720, Average Loss  0.608708, Time  0.234055
2021-09-15 21:49:58.068022 : Epoch  4, Batch    723, Loss  0.610457, Average Loss  0.608747, Time  0.237042
2021-09-15 21:49:59.592118 : Epoch  4, Batch    724, Loss  0.607802, Average Loss  0.608773, Time  0.235786
2021-09-15 21:50:01.113002 : Epoch  4, Batch    725, Loss  0.609017, Average Loss  0.608765, Time  0.234250
2021-09-15 21:50:02.632954 : Epoch  4, Batch    726, Loss  0.608504, Average Loss  0.608752, Time  0.234784
2021-09-15 21:50:04.152403 : Epoch  4, Batch    727, Loss  0.620618, Average Loss  0.608916, Time  0.234716
2021-09-15 21:50:04.754963 : CheckPoint: Validation Loss  0.00029429, Best Loss  0.00029429
2021-09-15 21:50:04.788909 : Best Model Updated
2021-09-15 21:50:05.674964 : Epoch  4, Batch    728, Loss  0.610638, Average Loss  0.608944, Time  0.236668
2021-09-15 21:50:07.212761 : Epoch  4, Batch    729, Loss  0.608263, Average Loss  0.608959, Time  0.235083
2021-09-15 21:50:08.703182 : Epoch  3, Batch    289, Loss  0.869696, Average Loss  0.869564, Time  0.267049
2021-09-15 21:50:08.729889 : Epoch  4, Batch    730, Loss  0.606238, Average Loss  0.608904, Time  0.234926
2021-09-15 21:50:10.249156 : Epoch  4, Batch    731, Loss  0.613113, Average Loss  0.608966, Time  0.234792
2021-09-15 21:50:11.689928 : Epoch  3, Batch    290, Loss  0.871156, Average Loss  0.869591, Time  0.264697
2021-09-15 21:50:11.773481 : Epoch  4, Batch    732, Loss  0.608659, Average Loss  0.608922, Time  0.235703
2021-09-15 21:50:13.288489 : Epoch  4, Batch    733, Loss  0.611720, Average Loss  0.608907, Time  0.235127
2021-09-15 21:50:14.677555 : Epoch  3, Batch    291, Loss  0.869429, Average Loss  0.869621, Time  0.265525
2021-09-15 21:50:14.815752 : Epoch  4, Batch    734, Loss  0.617458, Average Loss  0.608919, Time  0.235330
2021-09-15 21:50:16.332280 : Epoch  4, Batch    735, Loss  0.624449, Average Loss  0.609053, Time  0.235172
2021-09-15 21:50:17.698213 : Epoch  3, Batch    292, Loss  0.864287, Average Loss  0.869526, Time  0.265459
2021-09-15 21:50:17.862076 : Epoch  4, Batch    736, Loss  0.612011, Average Loss  0.609052, Time  0.237806
2021-09-15 21:50:19.374694 : Epoch  4, Batch    737, Loss  0.612708, Average Loss  0.609089, Time  0.235448
2021-09-15 21:50:20.686705 : Epoch  3, Batch    293, Loss  0.857023, Average Loss  0.869551, Time  0.265463
2021-09-15 21:50:20.893905 : Epoch  4, Batch    738, Loss  0.606369, Average Loss  0.609114, Time  0.235149
2021-09-15 21:50:22.409135 : Epoch  4, Batch    739, Loss  0.596179, Average Loss  0.609066, Time  0.235403
2021-09-15 21:50:23.674569 : Epoch  3, Batch    294, Loss  0.855733, Average Loss  0.869409, Time  0.265781
2021-09-15 21:50:26.696224 : Epoch  3, Batch    295, Loss  0.861681, Average Loss  0.869375, Time  0.265130
2021-09-15 21:50:29.708672 : Epoch  3, Batch    296, Loss  0.874089, Average Loss  0.869442, Time  0.274888
2021-09-15 21:50:32.730628 : Epoch  3, Batch    297, Loss  0.849127, Average Loss  0.869431, Time  0.265301
2021-09-15 21:50:35.715144 : Epoch  3, Batch    298, Loss  0.891840, Average Loss  0.869461, Time  0.264480
2021-09-15 21:50:38.697994 : Epoch  3, Batch    299, Loss  0.859011, Average Loss  0.869412, Time  0.265490
2021-09-15 21:50:41.680319 : Epoch  3, Batch    300, Loss  0.879814, Average Loss  0.869500, Time  0.265569
2021-09-15 21:50:44.657767 : Epoch  3, Batch    301, Loss  0.888603, Average Loss  0.869437, Time  0.264803
2021-09-15 21:50:47.643526 : Epoch  3, Batch    302, Loss  0.855448, Average Loss  0.869454, Time  0.265946
2021-09-15 21:50:50.671241 : Epoch  3, Batch    303, Loss  0.873340, Average Loss  0.869502, Time  0.266824
2021-09-15 21:50:53.661113 : Epoch  3, Batch    304, Loss  0.869657, Average Loss  0.869350, Time  0.265508
2021-09-15 21:50:56.667931 : Epoch  3, Batch    305, Loss  0.886073, Average Loss  0.869427, Time  0.267518
2021-09-15 21:50:59.681301 : Epoch  3, Batch    306, Loss  0.889653, Average Loss  0.869560, Time  0.265429
2021-09-15 21:51:02.696330 : Epoch  3, Batch    307, Loss  0.879372, Average Loss  0.869550, Time  0.266730
2021-09-15 21:51:05.684362 : Epoch  3, Batch    308, Loss  0.885294, Average Loss  0.869601, Time  0.264786
2021-09-15 21:51:08.661809 : Epoch  3, Batch    309, Loss  0.881298, Average Loss  0.869662, Time  0.265263
2021-09-15 21:51:11.645836 : Epoch  3, Batch    310, Loss  0.866373, Average Loss  0.869649, Time  0.265745
2021-09-15 21:51:14.641760 : Epoch  3, Batch    311, Loss  0.872658, Average Loss  0.869660, Time  0.275552
2021-09-15 21:51:17.627047 : Epoch  3, Batch    312, Loss  0.860590, Average Loss  0.869580, Time  0.264799
2021-09-15 21:51:19.066708 : CheckPoint: Validation Loss  0.00025288, Best Loss  0.00024924
2021-09-15 21:51:20.593212 : Epoch  4, Batch    740, Loss  0.617387, Average Loss  0.609096, Time  0.236068
2021-09-15 21:51:20.643728 : Epoch  3, Batch    313, Loss  0.874843, Average Loss  0.869708, Time  0.266518
2021-09-15 21:51:22.114010 : Epoch  4, Batch    741, Loss  0.611784, Average Loss  0.609144, Time  0.235088
2021-09-15 21:51:23.643222 : Epoch  4, Batch    742, Loss  0.617972, Average Loss  0.609163, Time  0.235826
2021-09-15 21:51:23.648137 : Epoch  3, Batch    314, Loss  0.870647, Average Loss  0.869731, Time  0.265325
2021-09-15 21:51:25.167249 : Epoch  4, Batch    743, Loss  0.599627, Average Loss  0.609121, Time  0.235935
2021-09-15 21:51:26.655240 : Epoch  3, Batch    315, Loss  0.880823, Average Loss  0.869708, Time  0.264908
2021-09-15 21:51:26.700230 : Epoch  4, Batch    744, Loss  0.609332, Average Loss  0.609120, Time  0.237664
2021-09-15 21:51:28.234849 : Epoch  4, Batch    745, Loss  0.613313, Average Loss  0.609157, Time  0.235233
2021-09-15 21:51:29.669953 : Epoch  3, Batch    316, Loss  0.878553, Average Loss  0.869736, Time  0.265336
2021-09-15 21:51:29.758354 : Epoch  4, Batch    746, Loss  0.619881, Average Loss  0.609224, Time  0.235223
2021-09-15 21:51:31.280548 : Epoch  4, Batch    747, Loss  0.615664, Average Loss  0.609252, Time  0.235518
2021-09-15 21:51:32.683693 : Epoch  3, Batch    317, Loss  0.869420, Average Loss  0.869710, Time  0.266015
2021-09-15 21:51:32.817033 : Epoch  4, Batch    748, Loss  0.613046, Average Loss  0.609359, Time  0.239782
2021-09-15 21:51:34.396889 : Epoch  4, Batch    749, Loss  0.606052, Average Loss  0.609375, Time  0.235579
2021-09-15 21:51:35.684720 : Epoch  3, Batch    318, Loss  0.852812, Average Loss  0.869632, Time  0.266965
2021-09-15 21:51:35.915658 : Epoch  4, Batch    750, Loss  0.602301, Average Loss  0.609319, Time  0.235536
2021-09-15 21:51:37.432891 : Epoch  4, Batch    751, Loss  0.604683, Average Loss  0.609353, Time  0.235404
2021-09-15 21:51:38.692331 : Epoch  3, Batch    319, Loss  0.861313, Average Loss  0.869616, Time  0.263865
2021-09-15 21:51:38.960804 : Epoch  4, Batch    752, Loss  0.612755, Average Loss  0.609400, Time  0.235513
2021-09-15 21:51:40.468952 : Epoch  4, Batch    753, Loss  0.616337, Average Loss  0.609380, Time  0.235560
2021-09-15 21:51:41.670043 : Epoch  3, Batch    320, Loss  0.857641, Average Loss  0.869473, Time  0.264903
2021-09-15 21:51:41.986095 : Epoch  4, Batch    754, Loss  0.598093, Average Loss  0.609287, Time  0.235603
2021-09-15 21:51:43.503007 : Epoch  4, Batch    755, Loss  0.600666, Average Loss  0.609271, Time  0.235605
2021-09-15 21:51:44.657063 : Epoch  3, Batch    321, Loss  0.877512, Average Loss  0.869510, Time  0.265695
2021-09-15 21:51:45.033765 : Epoch  4, Batch    756, Loss  0.606778, Average Loss  0.609222, Time  0.237531
2021-09-15 21:51:46.562094 : Epoch  4, Batch    757, Loss  0.620641, Average Loss  0.609220, Time  0.235658
2021-09-15 21:51:47.651779 : Epoch  3, Batch    322, Loss  0.852075, Average Loss  0.869487, Time  0.265287
2021-09-15 21:51:48.086959 : Epoch  4, Batch    758, Loss  0.603633, Average Loss  0.609185, Time  0.235367
2021-09-15 21:51:49.609311 : Epoch  4, Batch    759, Loss  0.606276, Average Loss  0.609159, Time  0.235980
2021-09-15 21:51:50.644944 : Epoch  3, Batch    323, Loss  0.888481, Average Loss  0.869672, Time  0.267238
2021-09-15 21:51:51.179786 : Epoch  4, Batch    760, Loss  0.616278, Average Loss  0.609188, Time  0.235180
2021-09-15 21:51:52.712304 : Epoch  4, Batch    761, Loss  0.608150, Average Loss  0.609116, Time  0.235432
2021-09-15 21:51:53.630133 : Epoch  3, Batch    324, Loss  0.867907, Average Loss  0.869646, Time  0.265201
2021-09-15 21:51:54.234915 : Epoch  4, Batch    762, Loss  0.600701, Average Loss  0.609096, Time  0.235477
2021-09-15 21:51:55.765075 : Epoch  4, Batch    763, Loss  0.598541, Average Loss  0.609063, Time  0.235627
2021-09-15 21:51:56.619945 : Epoch  3, Batch    325, Loss  0.847430, Average Loss  0.869549, Time  0.265942
2021-09-15 21:51:57.295927 : Epoch  4, Batch    764, Loss  0.617966, Average Loss  0.609102, Time  0.236077
2021-09-15 21:51:58.823995 : Epoch  4, Batch    765, Loss  0.608269, Average Loss  0.609091, Time  0.235519
2021-09-15 21:51:59.626081 : Epoch  3, Batch    326, Loss  0.889650, Average Loss  0.869689, Time  0.275676
2021-09-15 21:52:00.347323 : Epoch  4, Batch    766, Loss  0.603050, Average Loss  0.609052, Time  0.235775
2021-09-15 21:52:01.874835 : Epoch  4, Batch    767, Loss  0.603522, Average Loss  0.608994, Time  0.236861
2021-09-15 21:52:02.607532 : Epoch  3, Batch    327, Loss  0.872393, Average Loss  0.869700, Time  0.265631
2021-09-15 21:52:03.404385 : Epoch  4, Batch    768, Loss  0.598199, Average Loss  0.608932, Time  0.236233
2021-09-15 21:52:04.933374 : Epoch  4, Batch    769, Loss  0.601433, Average Loss  0.608907, Time  0.235809
2021-09-15 21:52:05.594797 : Epoch  3, Batch    328, Loss  0.874876, Average Loss  0.869758, Time  0.265537
2021-09-15 21:52:06.461872 : Epoch  4, Batch    770, Loss  0.613470, Average Loss  0.608925, Time  0.237206
2021-09-15 21:52:07.985041 : Epoch  4, Batch    771, Loss  0.606804, Average Loss  0.608953, Time  0.235327
2021-09-15 21:52:08.575286 : Epoch  3, Batch    329, Loss  0.878799, Average Loss  0.869770, Time  0.265414
2021-09-15 21:52:09.509913 : Epoch  4, Batch    772, Loss  0.607677, Average Loss  0.608948, Time  0.235977
2021-09-15 21:52:11.037401 : Epoch  4, Batch    773, Loss  0.610840, Average Loss  0.609015, Time  0.235384
2021-09-15 21:52:11.564667 : Epoch  3, Batch    330, Loss  0.875477, Average Loss  0.869851, Time  0.265256
2021-09-15 21:52:12.567186 : Epoch  4, Batch    774, Loss  0.609962, Average Loss  0.609009, Time  0.236626
2021-09-15 21:52:14.096216 : Epoch  4, Batch    775, Loss  0.608909, Average Loss  0.609012, Time  0.235512
2021-09-15 21:52:14.547854 : Epoch  3, Batch    331, Loss  0.882835, Average Loss  0.869975, Time  0.265657
2021-09-15 21:52:15.629560 : Epoch  4, Batch    776, Loss  0.610201, Average Loss  0.609063, Time  0.236324
2021-09-15 21:52:17.157985 : Epoch  4, Batch    777, Loss  0.599453, Average Loss  0.608996, Time  0.235751
2021-09-15 21:52:17.521037 : Epoch  3, Batch    332, Loss  0.877817, Average Loss  0.869956, Time  0.265501
2021-09-15 21:52:18.680873 : Epoch  4, Batch    778, Loss  0.607082, Average Loss  0.608952, Time  0.235847
2021-09-15 21:52:20.213019 : Epoch  4, Batch    779, Loss  0.587204, Average Loss  0.608808, Time  0.235940
2021-09-15 21:52:20.498521 : Epoch  3, Batch    333, Loss  0.872210, Average Loss  0.869909, Time  0.265065
2021-09-15 21:52:21.739049 : Epoch  4, Batch    780, Loss  0.594692, Average Loss  0.608686, Time  0.237232
2021-09-15 21:52:23.269394 : Epoch  4, Batch    781, Loss  0.603388, Average Loss  0.608669, Time  0.236194
2021-09-15 21:52:23.495738 : Epoch  3, Batch    334, Loss  0.875009, Average Loss  0.869878, Time  0.264994
2021-09-15 21:52:24.794900 : Epoch  4, Batch    782, Loss  0.602361, Average Loss  0.608617, Time  0.235751
2021-09-15 21:52:26.316364 : Epoch  4, Batch    783, Loss  0.624763, Average Loss  0.608664, Time  0.236295
2021-09-15 21:52:26.477145 : Epoch  3, Batch    335, Loss  0.890656, Average Loss  0.869978, Time  0.265600
2021-09-15 21:52:27.839796 : Epoch  4, Batch    784, Loss  0.606036, Average Loss  0.608678, Time  0.236985
2021-09-15 21:52:29.363132 : Epoch  4, Batch    785, Loss  0.603282, Average Loss  0.608694, Time  0.239511
2021-09-15 21:52:29.464221 : Epoch  3, Batch    336, Loss  0.864744, Average Loss  0.869917, Time  0.265910
2021-09-15 21:52:30.877480 : Epoch  4, Batch    786, Loss  0.602386, Average Loss  0.608681, Time  0.236754
2021-09-15 21:52:32.391416 : Epoch  4, Batch    787, Loss  0.614111, Average Loss  0.608651, Time  0.236687
2021-09-15 21:52:32.429585 : Saving Model after 4-th Epoch.
2021-09-15 21:52:32.470701 : Epoch  3, Batch    337, Loss  0.871194, Average Loss  0.869969, Time  0.265453
2021-09-15 21:52:33.065736 : Epoch Finished.
2021-09-15 21:52:35.346061 : Batch Shuffled
2021-09-15 21:52:35.516192 : Epoch  3, Batch    338, Loss  0.886396, Average Loss  0.870143, Time  0.265999
2021-09-15 21:52:36.888922 : Epoch  5, Batch      1, Loss  0.607127, Average Loss  0.608724, Time  0.267857
2021-09-15 21:52:38.419168 : Epoch  5, Batch      2, Loss  0.608940, Average Loss  0.608774, Time  0.250823
2021-09-15 21:52:38.496285 : Epoch  3, Batch    339, Loss  0.855971, Average Loss  0.870055, Time  0.266220
2021-09-15 21:52:39.943894 : Epoch  5, Batch      3, Loss  0.610778, Average Loss  0.608800, Time  0.240490
2021-09-15 21:52:41.485427 : Epoch  5, Batch      4, Loss  0.610755, Average Loss  0.608748, Time  0.237639
2021-09-15 21:52:41.521148 : Epoch  3, Batch    340, Loss  0.860344, Average Loss  0.870009, Time  0.266053
2021-09-15 21:52:43.003174 : Epoch  5, Batch      5, Loss  0.611116, Average Loss  0.608782, Time  0.237217
2021-09-15 21:52:44.521958 : Epoch  5, Batch      6, Loss  0.621768, Average Loss  0.608860, Time  0.236181
2021-09-15 21:52:44.530429 : Epoch  3, Batch    341, Loss  0.858091, Average Loss  0.869985, Time  0.277994
2021-09-15 21:52:46.051361 : Epoch  5, Batch      7, Loss  0.603044, Average Loss  0.608821, Time  0.236052
2021-09-15 21:52:47.565029 : Epoch  3, Batch    342, Loss  0.861987, Average Loss  0.870038, Time  0.263973
2021-09-15 21:52:47.572741 : Epoch  5, Batch      8, Loss  0.606109, Average Loss  0.608824, Time  0.235448
2021-09-15 21:52:49.106968 : Epoch  5, Batch      9, Loss  0.594937, Average Loss  0.608755, Time  0.236505
2021-09-15 21:52:50.545479 : Epoch  3, Batch    343, Loss  0.864676, Average Loss  0.870081, Time  0.266235
2021-09-15 21:52:50.636226 : Epoch  5, Batch     10, Loss  0.605087, Average Loss  0.608780, Time  0.236103
2021-09-15 21:52:52.156222 : Epoch  5, Batch     11, Loss  0.614471, Average Loss  0.608841, Time  0.236225
2021-09-15 21:52:53.536044 : Epoch  3, Batch    344, Loss  0.884634, Average Loss  0.870176, Time  0.267198
2021-09-15 21:52:53.688369 : Epoch  5, Batch     12, Loss  0.608074, Average Loss  0.608873, Time  0.235664
2021-09-15 21:52:55.212344 : Epoch  5, Batch     13, Loss  0.596654, Average Loss  0.608811, Time  0.237472
2021-09-15 21:52:56.556634 : Epoch  3, Batch    345, Loss  0.884100, Average Loss  0.870289, Time  0.266014
2021-09-15 21:52:56.740909 : Epoch  5, Batch     14, Loss  0.605887, Average Loss  0.608789, Time  0.238905
2021-09-15 21:52:58.257549 : Epoch  5, Batch     15, Loss  0.614457, Average Loss  0.608783, Time  0.235418
2021-09-15 21:52:59.546609 : Epoch  3, Batch    346, Loss  0.867801, Average Loss  0.870195, Time  0.265917
2021-09-15 21:52:59.811370 : Epoch  5, Batch     16, Loss  0.607771, Average Loss  0.608713, Time  0.235627
2021-09-15 21:53:01.344806 : Epoch  5, Batch     17, Loss  0.605587, Average Loss  0.608702, Time  0.236132
2021-09-15 21:53:02.556803 : Epoch  3, Batch    347, Loss  0.881336, Average Loss  0.870087, Time  0.266527
2021-09-15 21:53:02.872841 : Epoch  5, Batch     18, Loss  0.602897, Average Loss  0.608629, Time  0.235442
2021-09-15 21:53:04.449924 : Epoch  5, Batch     19, Loss  0.610929, Average Loss  0.608605, Time  0.235882
2021-09-15 21:53:05.581821 : Epoch  3, Batch    348, Loss  0.870014, Average Loss  0.870173, Time  0.266289
2021-09-15 21:53:05.984782 : Epoch  5, Batch     20, Loss  0.605989, Average Loss  0.608594, Time  0.236576
2021-09-15 21:53:07.535423 : Epoch  5, Batch     21, Loss  0.605135, Average Loss  0.608600, Time  0.236190
2021-09-15 21:53:08.601478 : Epoch  3, Batch    349, Loss  0.866110, Average Loss  0.870116, Time  0.266085
2021-09-15 21:53:09.063226 : Epoch  5, Batch     22, Loss  0.598822, Average Loss  0.608618, Time  0.235761
2021-09-15 21:53:10.599832 : Epoch  5, Batch     23, Loss  0.606875, Average Loss  0.608621, Time  0.235780
2021-09-15 21:53:11.594069 : Epoch  3, Batch    350, Loss  0.862699, Average Loss  0.870168, Time  0.266091
2021-09-15 21:53:12.143983 : Epoch  5, Batch     24, Loss  0.607527, Average Loss  0.608662, Time  0.236612
2021-09-15 21:53:13.671820 : Epoch  5, Batch     25, Loss  0.601504, Average Loss  0.608616, Time  0.235983
2021-09-15 21:53:14.617481 : Epoch  3, Batch    351, Loss  0.894896, Average Loss  0.870237, Time  0.265947
2021-09-15 21:53:15.197035 : Epoch  5, Batch     26, Loss  0.605860, Average Loss  0.608575, Time  0.235917
2021-09-15 21:53:16.751810 : Epoch  5, Batch     27, Loss  0.601305, Average Loss  0.608620, Time  0.238105
2021-09-15 21:53:17.611063 : Epoch  3, Batch    352, Loss  0.883020, Average Loss  0.870406, Time  0.266066
2021-09-15 21:53:18.285381 : Epoch  5, Batch     28, Loss  0.610062, Average Loss  0.608585, Time  0.235444
2021-09-15 21:53:19.808708 : Epoch  5, Batch     29, Loss  0.619865, Average Loss  0.608654, Time  0.235530
2021-09-15 21:53:20.594282 : Epoch  3, Batch    353, Loss  0.858300, Average Loss  0.870281, Time  0.265840
2021-09-15 21:53:21.333873 : Epoch  5, Batch     30, Loss  0.599411, Average Loss  0.608580, Time  0.236003
2021-09-15 21:53:22.861825 : Epoch  5, Batch     31, Loss  0.611794, Average Loss  0.608585, Time  0.235802
2021-09-15 21:53:23.580351 : Epoch  3, Batch    354, Loss  0.902546, Average Loss  0.870296, Time  0.265510
2021-09-15 21:53:24.381151 : Epoch  5, Batch     32, Loss  0.602053, Average Loss  0.608564, Time  0.235879
2021-09-15 21:53:25.906090 : Epoch  5, Batch     33, Loss  0.622101, Average Loss  0.608598, Time  0.235555
2021-09-15 21:53:26.583837 : Epoch  3, Batch    355, Loss  0.847622, Average Loss  0.870062, Time  0.265611
2021-09-15 21:53:27.434785 : Epoch  5, Batch     34, Loss  0.600111, Average Loss  0.608533, Time  0.236301
2021-09-15 21:53:28.956243 : Epoch  5, Batch     35, Loss  0.602188, Average Loss  0.608535, Time  0.235768
2021-09-15 21:53:29.586498 : Epoch  3, Batch    356, Loss  0.859520, Average Loss  0.870005, Time  0.279142
2021-09-15 21:53:30.490879 : Epoch  5, Batch     36, Loss  0.618773, Average Loss  0.608633, Time  0.235604
2021-09-15 21:53:32.018924 : Epoch  5, Batch     37, Loss  0.611278, Average Loss  0.608617, Time  0.236404
2021-09-15 21:53:32.612655 : Epoch  3, Batch    357, Loss  0.874572, Average Loss  0.869956, Time  0.266228
2021-09-15 21:53:33.546422 : Epoch  5, Batch     38, Loss  0.609703, Average Loss  0.608630, Time  0.235727
2021-09-15 21:53:35.074555 : Epoch  5, Batch     39, Loss  0.616841, Average Loss  0.608624, Time  0.235738
2021-09-15 21:53:35.607185 : Epoch  3, Batch    358, Loss  0.864379, Average Loss  0.869884, Time  0.266024
2021-09-15 21:53:36.630050 : Epoch  5, Batch     40, Loss  0.615822, Average Loss  0.608625, Time  0.237813
2021-09-15 21:53:38.166129 : Epoch  5, Batch     41, Loss  0.603054, Average Loss  0.608546, Time  0.235970
2021-09-15 21:53:38.605036 : Epoch  3, Batch    359, Loss  0.870645, Average Loss  0.869865, Time  0.265411
2021-09-15 21:53:39.697866 : Epoch  5, Batch     42, Loss  0.603221, Average Loss  0.608490, Time  0.235914
2021-09-15 21:53:41.234725 : Epoch  5, Batch     43, Loss  0.609646, Average Loss  0.608461, Time  0.236941
2021-09-15 21:53:41.570598 : Epoch  3, Batch    360, Loss  0.866369, Average Loss  0.869831, Time  0.265334
2021-09-15 21:53:42.759623 : Epoch  5, Batch     44, Loss  0.602490, Average Loss  0.608406, Time  0.235540
2021-09-15 21:53:44.289350 : Epoch  5, Batch     45, Loss  0.614676, Average Loss  0.608407, Time  0.235555
2021-09-15 21:53:44.550661 : Epoch  3, Batch    361, Loss  0.873153, Average Loss  0.869883, Time  0.266209
2021-09-15 21:53:45.818095 : Epoch  5, Batch     46, Loss  0.602362, Average Loss  0.608401, Time  0.235658
2021-09-15 21:53:47.346453 : Epoch  5, Batch     47, Loss  0.607719, Average Loss  0.608391, Time  0.236112
2021-09-15 21:53:47.527930 : Epoch  3, Batch    362, Loss  0.879913, Average Loss  0.869822, Time  0.265748
2021-09-15 21:53:48.875134 : Epoch  5, Batch     48, Loss  0.613429, Average Loss  0.608378, Time  0.236487
2021-09-15 21:53:50.403894 : Epoch  5, Batch     49, Loss  0.605985, Average Loss  0.608313, Time  0.235726
2021-09-15 21:53:50.509003 : Epoch  3, Batch    363, Loss  0.860927, Average Loss  0.869864, Time  0.264959
2021-09-15 21:53:51.937385 : Epoch  5, Batch     50, Loss  0.608586, Average Loss  0.608355, Time  0.238220
2021-09-15 21:53:53.430860 : Epoch  3, Batch    364, Loss  0.890055, Average Loss  0.870092, Time  0.265900
2021-09-15 21:53:53.469932 : Epoch  5, Batch     51, Loss  0.603843, Average Loss  0.608399, Time  0.238524
2021-09-15 21:53:54.994386 : Epoch  5, Batch     52, Loss  0.613577, Average Loss  0.608412, Time  0.235550
2021-09-15 21:53:56.370207 : Epoch  3, Batch    365, Loss  0.891128, Average Loss  0.870237, Time  0.265631
2021-09-15 21:53:59.346743 : Epoch  3, Batch    366, Loss  0.857006, Average Loss  0.870132, Time  0.266191
2021-09-15 21:54:02.367281 : Epoch  3, Batch    367, Loss  0.871852, Average Loss  0.870171, Time  0.265923
2021-09-15 21:54:05.394218 : Epoch  3, Batch    368, Loss  0.878857, Average Loss  0.870235, Time  0.265826
2021-09-15 21:54:08.424640 : Epoch  3, Batch    369, Loss  0.882089, Average Loss  0.870270, Time  0.266298
2021-09-15 21:54:11.426060 : Epoch  3, Batch    370, Loss  0.861233, Average Loss  0.870198, Time  0.265655
2021-09-15 21:54:14.436162 : Epoch  3, Batch    371, Loss  0.861753, Average Loss  0.870146, Time  0.278546
2021-09-15 21:54:17.442059 : Epoch  3, Batch    372, Loss  0.880096, Average Loss  0.870132, Time  0.265272
2021-09-15 21:54:20.436625 : Epoch  3, Batch    373, Loss  0.868280, Average Loss  0.870121, Time  0.266150
2021-09-15 21:54:23.429736 : Epoch  3, Batch    374, Loss  0.879398, Average Loss  0.870144, Time  0.265087
2021-09-15 21:54:26.441532 : Epoch  3, Batch    375, Loss  0.838197, Average Loss  0.869905, Time  0.265075
2021-09-15 21:54:29.427746 : Epoch  3, Batch    376, Loss  0.861393, Average Loss  0.869807, Time  0.265964
2021-09-15 21:54:32.425731 : Epoch  3, Batch    377, Loss  0.873353, Average Loss  0.869740, Time  0.266102
2021-09-15 21:54:35.433373 : Epoch  3, Batch    378, Loss  0.868997, Average Loss  0.869693, Time  0.265686
2021-09-15 21:54:38.410745 : Epoch  3, Batch    379, Loss  0.875108, Average Loss  0.869745, Time  0.265199
2021-09-15 21:54:41.425995 : Epoch  3, Batch    380, Loss  0.846846, Average Loss  0.869536, Time  0.265559
2021-09-15 21:54:44.436245 : Epoch  3, Batch    381, Loss  0.880811, Average Loss  0.869648, Time  0.264720
2021-09-15 21:54:47.417810 : Epoch  3, Batch    382, Loss  0.880161, Average Loss  0.869754, Time  0.265782
2021-09-15 21:54:50.428344 : Epoch  3, Batch    383, Loss  0.863052, Average Loss  0.869766, Time  0.265216
2021-09-15 21:54:52.104753 : CheckPoint: Validation Loss  0.00025312, Best Loss  0.00024924
2021-09-15 21:54:53.410254 : Epoch  3, Batch    384, Loss  0.879016, Average Loss  0.869927, Time  0.266584
2021-09-15 21:54:53.640219 : Epoch  5, Batch     53, Loss  0.604261, Average Loss  0.608366, Time  0.236424
2021-09-15 21:54:55.152802 : Epoch  5, Batch     54, Loss  0.604567, Average Loss  0.608405, Time  0.237402
2021-09-15 21:54:56.423780 : Epoch  3, Batch    385, Loss  0.854275, Average Loss  0.869893, Time  0.265688
2021-09-15 21:54:56.674053 : Epoch  5, Batch     55, Loss  0.606409, Average Loss  0.608404, Time  0.235445
2021-09-15 21:54:58.179503 : Epoch  5, Batch     56, Loss  0.598156, Average Loss  0.608396, Time  0.235912
2021-09-15 21:54:59.420561 : Epoch  3, Batch    386, Loss  0.874943, Average Loss  0.870029, Time  0.276712
2021-09-15 21:54:59.698388 : Epoch  5, Batch     57, Loss  0.606065, Average Loss  0.608365, Time  0.235708
2021-09-15 21:55:01.212397 : Epoch  5, Batch     58, Loss  0.596724, Average Loss  0.608282, Time  0.236168
2021-09-15 21:55:02.393879 : Epoch  3, Batch    387, Loss  0.870848, Average Loss  0.869968, Time  0.266849
2021-09-15 21:55:02.738384 : Epoch  5, Batch     59, Loss  0.611604, Average Loss  0.608350, Time  0.235812
2021-09-15 21:55:04.269438 : Epoch  5, Batch     60, Loss  0.615754, Average Loss  0.608318, Time  0.235958
2021-09-15 21:55:05.372668 : Epoch  3, Batch    388, Loss  0.876883, Average Loss  0.869986, Time  0.265330
2021-09-15 21:55:05.807447 : Epoch  5, Batch     61, Loss  0.609131, Average Loss  0.608330, Time  0.236027
2021-09-15 21:55:07.309455 : Epoch  5, Batch     62, Loss  0.602364, Average Loss  0.608279, Time  0.236001
2021-09-15 21:55:08.824252 : Epoch  5, Batch     63, Loss  0.611232, Average Loss  0.608313, Time  0.236139
2021-09-15 21:55:10.343974 : Epoch  5, Batch     64, Loss  0.604332, Average Loss  0.608306, Time  0.236652
2021-09-15 21:55:11.859301 : Epoch  5, Batch     65, Loss  0.601115, Average Loss  0.608258, Time  0.236011
2021-09-15 21:55:13.374337 : Epoch  5, Batch     66, Loss  0.614570, Average Loss  0.608310, Time  0.235639
2021-09-15 21:55:14.898981 : Epoch  5, Batch     67, Loss  0.594293, Average Loss  0.608249, Time  0.236941
2021-09-15 21:55:16.430400 : Epoch  5, Batch     68, Loss  0.595205, Average Loss  0.608237, Time  0.241459
2021-09-15 21:55:17.957607 : Epoch  5, Batch     69, Loss  0.603171, Average Loss  0.608241, Time  0.236441
2021-09-15 21:55:19.477866 : Epoch  5, Batch     70, Loss  0.608086, Average Loss  0.608257, Time  0.237529
2021-09-15 21:55:20.996238 : Epoch  5, Batch     71, Loss  0.618676, Average Loss  0.608255, Time  0.235695
2021-09-15 21:55:22.515873 : Epoch  5, Batch     72, Loss  0.618112, Average Loss  0.608307, Time  0.235950
2021-09-15 21:55:24.033315 : Epoch  5, Batch     73, Loss  0.615665, Average Loss  0.608342, Time  0.236278
2021-09-15 21:55:25.554026 : Epoch  5, Batch     74, Loss  0.606857, Average Loss  0.608331, Time  0.235983
2021-09-15 21:55:27.076570 : Epoch  5, Batch     75, Loss  0.615077, Average Loss  0.608361, Time  0.236112
2021-09-15 21:55:28.600456 : Epoch  5, Batch     76, Loss  0.603236, Average Loss  0.608328, Time  0.235870
2021-09-15 21:55:30.126536 : Epoch  5, Batch     77, Loss  0.596453, Average Loss  0.608301, Time  0.236689
2021-09-15 21:55:31.657125 : Epoch  5, Batch     78, Loss  0.594692, Average Loss  0.608215, Time  0.236688
2021-09-15 21:55:33.178239 : Epoch  5, Batch     79, Loss  0.596673, Average Loss  0.608187, Time  0.236636
2021-09-15 21:55:34.691627 : Epoch  5, Batch     80, Loss  0.593407, Average Loss  0.608058, Time  0.235728
2021-09-15 21:55:36.208875 : Epoch  5, Batch     81, Loss  0.589534, Average Loss  0.607961, Time  0.236516
2021-09-15 21:55:37.758579 : Epoch  5, Batch     82, Loss  0.613168, Average Loss  0.607988, Time  0.235810
2021-09-15 21:55:39.275656 : Epoch  5, Batch     83, Loss  0.607775, Average Loss  0.607938, Time  0.235378
2021-09-15 21:55:40.797039 : Epoch  5, Batch     84, Loss  0.606583, Average Loss  0.608009, Time  0.237418
2021-09-15 21:55:42.344975 : Epoch  5, Batch     85, Loss  0.617669, Average Loss  0.608071, Time  0.239688
2021-09-15 21:55:43.890892 : Epoch  5, Batch     86, Loss  0.602429, Average Loss  0.608018, Time  0.235884
2021-09-15 21:55:45.418395 : Epoch  5, Batch     87, Loss  0.609063, Average Loss  0.608030, Time  0.235619
2021-09-15 21:55:46.943571 : Epoch  5, Batch     88, Loss  0.608930, Average Loss  0.608033, Time  0.238749
2021-09-15 21:55:48.462557 : Epoch  5, Batch     89, Loss  0.599616, Average Loss  0.607986, Time  0.238220
2021-09-15 21:55:49.990242 : Epoch  5, Batch     90, Loss  0.610759, Average Loss  0.607961, Time  0.236934
2021-09-15 21:55:51.507417 : Epoch  5, Batch     91, Loss  0.600793, Average Loss  0.607927, Time  0.235590
2021-09-15 21:55:53.030560 : Epoch  5, Batch     92, Loss  0.608958, Average Loss  0.607929, Time  0.235738
2021-09-15 21:55:54.555977 : Epoch  5, Batch     93, Loss  0.608240, Average Loss  0.607931, Time  0.236846
2021-09-15 21:55:56.072142 : Epoch  5, Batch     94, Loss  0.599132, Average Loss  0.607797, Time  0.235565
2021-09-15 21:55:57.586257 : Epoch  5, Batch     95, Loss  0.612662, Average Loss  0.607805, Time  0.235567
2021-09-15 21:55:59.101853 : Epoch  5, Batch     96, Loss  0.615904, Average Loss  0.607902, Time  0.236708
2021-09-15 21:56:00.621439 : Epoch  5, Batch     97, Loss  0.608653, Average Loss  0.607901, Time  0.235942
2021-09-15 21:56:02.132018 : Epoch  5, Batch     98, Loss  0.605782, Average Loss  0.607892, Time  0.236964
2021-09-15 21:56:03.660011 : Epoch  5, Batch     99, Loss  0.616542, Average Loss  0.607940, Time  0.235966
2021-09-15 21:56:05.186604 : Epoch  5, Batch    100, Loss  0.613646, Average Loss  0.608476, Time  0.237329
2021-09-15 21:56:06.703854 : Epoch  5, Batch    101, Loss  0.608092, Average Loss  0.608496, Time  0.235925
2021-09-15 21:56:08.212997 : Epoch  5, Batch    102, Loss  0.605575, Average Loss  0.608379, Time  0.235777
2021-09-15 21:56:09.742272 : Epoch  5, Batch    103, Loss  0.605742, Average Loss  0.608281, Time  0.237028
2021-09-15 21:56:11.258942 : Epoch  5, Batch    104, Loss  0.612514, Average Loss  0.608252, Time  0.236183
2021-09-15 21:56:12.780670 : Epoch  5, Batch    105, Loss  0.616153, Average Loss  0.608229, Time  0.236825
2021-09-15 21:56:14.299839 : Epoch  5, Batch    106, Loss  0.608029, Average Loss  0.608235, Time  0.237522
2021-09-15 21:56:15.826050 : Epoch  5, Batch    107, Loss  0.603575, Average Loss  0.608173, Time  0.235820
2021-09-15 21:56:17.346761 : Epoch  5, Batch    108, Loss  0.613258, Average Loss  0.608173, Time  0.236664
2021-09-15 21:56:18.875145 : Epoch  5, Batch    109, Loss  0.602374, Average Loss  0.608102, Time  0.236165
2021-09-15 21:56:20.398841 : Epoch  5, Batch    110, Loss  0.611793, Average Loss  0.608083, Time  0.236597
2021-09-15 21:56:21.929969 : Epoch  5, Batch    111, Loss  0.599701, Average Loss  0.608015, Time  0.236830
2021-09-15 21:56:23.467278 : Epoch  5, Batch    112, Loss  0.611362, Average Loss  0.608031, Time  0.238144
2021-09-15 21:56:25.011180 : Epoch  5, Batch    113, Loss  0.617544, Average Loss  0.608011, Time  0.235880
2021-09-15 21:56:26.529450 : Epoch  5, Batch    114, Loss  0.600903, Average Loss  0.607960, Time  0.236159
2021-09-15 21:56:28.050731 : Epoch  5, Batch    115, Loss  0.601076, Average Loss  0.607932, Time  0.235920
2021-09-15 21:56:29.574392 : Epoch  5, Batch    116, Loss  0.597732, Average Loss  0.607826, Time  0.235754
2021-09-15 21:56:31.098378 : Epoch  5, Batch    117, Loss  0.607475, Average Loss  0.607807, Time  0.236690
2021-09-15 21:56:32.618586 : Epoch  5, Batch    118, Loss  0.602350, Average Loss  0.607796, Time  0.235760
2021-09-15 21:56:34.141826 : Epoch  5, Batch    119, Loss  0.613551, Average Loss  0.607805, Time  0.235624
2021-09-15 21:56:35.668399 : Epoch  5, Batch    120, Loss  0.607730, Average Loss  0.607784, Time  0.235729
2021-09-15 21:56:37.191943 : Epoch  5, Batch    121, Loss  0.603391, Average Loss  0.607710, Time  0.235857
2021-09-15 21:56:38.723391 : Epoch  5, Batch    122, Loss  0.607253, Average Loss  0.607661, Time  0.235785
2021-09-15 21:56:42.611563 : Epoch  5, Batch    123, Loss  0.606074, Average Loss  0.607641, Time  0.266979
2021-09-15 21:56:44.132049 : Epoch  5, Batch    124, Loss  0.606037, Average Loss  0.607639, Time  0.240412
2021-09-15 21:56:45.654978 : Epoch  5, Batch    125, Loss  0.595576, Average Loss  0.607559, Time  0.236393
2021-09-15 21:56:47.173401 : Epoch  5, Batch    126, Loss  0.601245, Average Loss  0.607623, Time  0.235770
2021-09-15 21:56:48.688293 : Epoch  5, Batch    127, Loss  0.616518, Average Loss  0.607581, Time  0.237330
2021-09-15 21:56:50.205101 : Epoch  5, Batch    128, Loss  0.602820, Average Loss  0.607462, Time  0.236368
2021-09-15 21:56:51.719607 : Epoch  5, Batch    129, Loss  0.601406, Average Loss  0.607450, Time  0.235376
2021-09-15 21:56:53.232862 : Epoch  5, Batch    130, Loss  0.614436, Average Loss  0.607480, Time  0.236797
2021-09-15 21:56:54.756626 : Epoch  5, Batch    131, Loss  0.603860, Average Loss  0.607449, Time  0.236181
2021-09-15 21:56:56.270008 : Epoch  5, Batch    132, Loss  0.612120, Average Loss  0.607483, Time  0.235906
2021-09-15 21:56:57.780567 : Epoch  5, Batch    133, Loss  0.603693, Average Loss  0.607488, Time  0.235493
2021-09-15 21:56:59.297418 : Epoch  5, Batch    134, Loss  0.606123, Average Loss  0.607478, Time  0.235581
2021-09-15 21:57:00.814219 : Epoch  5, Batch    135, Loss  0.621351, Average Loss  0.607537, Time  0.236446
2021-09-15 21:57:02.333407 : Epoch  5, Batch    136, Loss  0.600371, Average Loss  0.607486, Time  0.237218
2021-09-15 21:57:03.848047 : Epoch  5, Batch    137, Loss  0.609637, Average Loss  0.607495, Time  0.236006
2021-09-15 21:57:05.356584 : Epoch  5, Batch    138, Loss  0.601705, Average Loss  0.607459, Time  0.235789
2021-09-15 21:57:06.872184 : Epoch  5, Batch    139, Loss  0.605843, Average Loss  0.607445, Time  0.235650
2021-09-15 21:57:08.381910 : Epoch  5, Batch    140, Loss  0.616171, Average Loss  0.607423, Time  0.235817
2021-09-15 21:57:09.903240 : Epoch  5, Batch    141, Loss  0.610525, Average Loss  0.607423, Time  0.239454
2021-09-15 21:57:11.418910 : Epoch  5, Batch    142, Loss  0.600837, Average Loss  0.607385, Time  0.235903
2021-09-15 21:57:12.934357 : Epoch  5, Batch    143, Loss  0.608517, Average Loss  0.607397, Time  0.235770
2021-09-15 21:57:14.457851 : Epoch  5, Batch    144, Loss  0.599987, Average Loss  0.607331, Time  0.236279
2021-09-15 21:57:15.991371 : Epoch  5, Batch    145, Loss  0.612685, Average Loss  0.607351, Time  0.236463
2021-09-15 21:57:17.514534 : Epoch  5, Batch    146, Loss  0.604942, Average Loss  0.607317, Time  0.235828
2021-09-15 21:57:19.043984 : Epoch  5, Batch    147, Loss  0.616351, Average Loss  0.607312, Time  0.237082
2021-09-15 21:57:20.563121 : Epoch  5, Batch    148, Loss  0.603515, Average Loss  0.607207, Time  0.236082
2021-09-15 21:57:22.081437 : Epoch  5, Batch    149, Loss  0.598417, Average Loss  0.607139, Time  0.235434
2021-09-15 21:57:23.615700 : Epoch  5, Batch    150, Loss  0.606213, Average Loss  0.607107, Time  0.235718
2021-09-15 21:57:25.147087 : Epoch  5, Batch    151, Loss  0.602085, Average Loss  0.607085, Time  0.235922
2021-09-15 21:57:26.671435 : Epoch  5, Batch    152, Loss  0.606832, Average Loss  0.607139, Time  0.238403
2021-09-15 21:58:23.957758 : CheckPoint: Validation Loss  0.00025404, Best Loss  0.00024924
2021-09-15 21:58:25.500237 : Epoch  5, Batch    153, Loss  0.605066, Average Loss  0.607077, Time  0.249280
2021-09-15 21:58:27.025045 : Epoch  5, Batch    154, Loss  0.609596, Average Loss  0.607066, Time  0.236580
2021-09-15 21:58:28.563835 : Epoch  5, Batch    155, Loss  0.605496, Average Loss  0.607004, Time  0.238747
2021-09-15 21:58:30.085079 : Epoch  5, Batch    156, Loss  0.594742, Average Loss  0.606979, Time  0.236610
2021-09-15 21:58:31.614619 : Epoch  5, Batch    157, Loss  0.603448, Average Loss  0.606950, Time  0.237067
2021-09-15 21:58:33.143418 : Epoch  5, Batch    158, Loss  0.604863, Average Loss  0.606908, Time  0.237734
2021-09-15 21:58:34.665850 : Epoch  5, Batch    159, Loss  0.614866, Average Loss  0.606883, Time  0.235600
2021-09-15 21:58:36.187989 : Epoch  5, Batch    160, Loss  0.612205, Average Loss  0.606865, Time  0.235991
2021-09-15 21:58:37.711146 : Epoch  5, Batch    161, Loss  0.612302, Average Loss  0.606862, Time  0.236337
2021-09-15 21:58:39.241323 : Epoch  5, Batch    162, Loss  0.601178, Average Loss  0.606837, Time  0.235734
2021-09-15 21:58:40.774348 : Epoch  5, Batch    163, Loss  0.614883, Average Loss  0.606900, Time  0.236259
2021-09-15 21:58:42.300904 : Epoch  5, Batch    164, Loss  0.608361, Average Loss  0.606919, Time  0.235915
2021-09-15 21:58:43.826234 : Epoch  5, Batch    165, Loss  0.604737, Average Loss  0.606878, Time  0.236965
2021-09-15 21:58:45.355131 : Epoch  5, Batch    166, Loss  0.616207, Average Loss  0.606878, Time  0.237293
2021-09-15 21:58:46.896866 : Epoch  5, Batch    167, Loss  0.603280, Average Loss  0.606904, Time  0.236464
2021-09-15 21:58:48.423138 : Epoch  5, Batch    168, Loss  0.601828, Average Loss  0.606910, Time  0.235718
2021-09-15 21:58:49.951995 : Epoch  5, Batch    169, Loss  0.613764, Average Loss  0.606944, Time  0.236587
2021-09-15 21:58:51.480407 : Epoch  5, Batch    170, Loss  0.597283, Average Loss  0.606828, Time  0.235909
2021-09-15 21:58:52.999687 : Epoch  5, Batch    171, Loss  0.620755, Average Loss  0.606913, Time  0.236402
2021-09-15 21:58:54.532862 : Epoch  5, Batch    172, Loss  0.595931, Average Loss  0.606862, Time  0.235980
2021-09-15 21:58:56.056402 : Epoch  5, Batch    173, Loss  0.606705, Average Loss  0.606814, Time  0.236431
2021-09-15 21:58:57.574454 : Epoch  5, Batch    174, Loss  0.600107, Average Loss  0.606773, Time  0.235960
2021-09-15 21:58:59.096112 : Epoch  5, Batch    175, Loss  0.607026, Average Loss  0.606805, Time  0.235656
2021-09-15 21:59:00.622256 : Epoch  5, Batch    176, Loss  0.605422, Average Loss  0.606839, Time  0.237466
2021-09-15 21:59:02.151435 : Epoch  5, Batch    177, Loss  0.600076, Average Loss  0.606750, Time  0.235878
2021-09-15 21:59:03.677079 : Epoch  5, Batch    178, Loss  0.614838, Average Loss  0.606783, Time  0.238930
2021-09-15 21:59:05.201420 : Epoch  5, Batch    179, Loss  0.602380, Average Loss  0.606780, Time  0.236889
2021-09-15 21:59:06.733395 : Epoch  5, Batch    180, Loss  0.609229, Average Loss  0.606808, Time  0.236865
2021-09-15 21:59:08.265002 : Epoch  5, Batch    181, Loss  0.612175, Average Loss  0.606878, Time  0.236336
2021-09-15 21:59:09.787825 : Epoch  5, Batch    182, Loss  0.613207, Average Loss  0.606937, Time  0.236343
2021-09-15 21:59:11.314919 : Epoch  5, Batch    183, Loss  0.612035, Average Loss  0.606930, Time  0.236013
2021-09-15 21:59:12.850286 : Epoch  5, Batch    184, Loss  0.608260, Average Loss  0.606937, Time  0.236240
2021-09-15 21:59:14.380176 : Epoch  5, Batch    185, Loss  0.610247, Average Loss  0.606950, Time  0.235672
2021-09-15 21:59:15.897042 : Epoch  5, Batch    186, Loss  0.600327, Average Loss  0.606897, Time  0.236479
2021-09-15 21:59:17.422394 : Epoch  5, Batch    187, Loss  0.601802, Average Loss  0.606856, Time  0.238212
2021-09-15 21:59:18.948289 : Epoch  5, Batch    188, Loss  0.612875, Average Loss  0.606876, Time  0.238250
2021-09-15 21:59:20.474991 : Epoch  5, Batch    189, Loss  0.609246, Average Loss  0.606871, Time  0.235840
2021-09-15 21:59:21.996316 : Epoch  5, Batch    190, Loss  0.608972, Average Loss  0.606919, Time  0.236826
2021-09-15 21:59:23.523407 : Epoch  5, Batch    191, Loss  0.601867, Average Loss  0.606893, Time  0.235635
2021-09-15 21:59:25.051925 : Epoch  5, Batch    192, Loss  0.611028, Average Loss  0.607012, Time  0.236147
2021-09-15 21:59:26.571922 : Epoch  5, Batch    193, Loss  0.610660, Average Loss  0.607092, Time  0.235600
2021-09-15 21:59:28.099429 : Epoch  5, Batch    194, Loss  0.611502, Average Loss  0.607133, Time  0.236230
2021-09-15 21:59:29.624113 : Epoch  5, Batch    195, Loss  0.595546, Average Loss  0.607098, Time  0.236211
2021-09-15 21:59:31.175449 : Epoch  5, Batch    196, Loss  0.607517, Average Loss  0.607012, Time  0.235698
2021-09-15 21:59:32.708953 : Epoch  5, Batch    197, Loss  0.598726, Average Loss  0.606976, Time  0.236470
2021-09-15 21:59:34.239078 : Epoch  5, Batch    198, Loss  0.598353, Average Loss  0.606951, Time  0.235841
2021-09-15 21:59:35.757233 : Epoch  5, Batch    199, Loss  0.600952, Average Loss  0.606944, Time  0.236788
2021-09-15 21:59:37.284879 : Epoch  5, Batch    200, Loss  0.603108, Average Loss  0.606889, Time  0.235879
2021-09-15 21:59:38.810145 : Epoch  5, Batch    201, Loss  0.594027, Average Loss  0.606823, Time  0.235717
2021-09-15 21:59:40.332360 : Epoch  5, Batch    202, Loss  0.606340, Average Loss  0.606810, Time  0.235833
2021-09-15 21:59:41.866898 : Epoch  5, Batch    203, Loss  0.594998, Average Loss  0.606731, Time  0.235668
2021-09-15 21:59:43.402378 : Epoch  5, Batch    204, Loss  0.607605, Average Loss  0.606716, Time  0.237862
2021-09-15 21:59:44.063761 : CheckPoint: Validation Loss  0.00029489, Best Loss  0.00029429
2021-09-15 21:59:44.923400 : Epoch  5, Batch    205, Loss  0.609697, Average Loss  0.606709, Time  0.235632
2021-09-15 21:59:46.441506 : Epoch  5, Batch    206, Loss  0.603271, Average Loss  0.606616, Time  0.235367
2021-09-15 21:59:47.061476 : Epoch  3, Batch    389, Loss  0.852834, Average Loss  0.869930, Time  0.268307
2021-09-15 21:59:47.958920 : Epoch  5, Batch    207, Loss  0.607886, Average Loss  0.606640, Time  0.237018
2021-09-15 21:59:49.482242 : Epoch  5, Batch    208, Loss  0.602760, Average Loss  0.606624, Time  0.235768
2021-09-15 21:59:50.009490 : Epoch  3, Batch    390, Loss  0.852225, Average Loss  0.869835, Time  0.265203
2021-09-15 21:59:51.006548 : Epoch  5, Batch    209, Loss  0.606247, Average Loss  0.606680, Time  0.235414
2021-09-15 21:59:52.537146 : Epoch  5, Batch    210, Loss  0.604492, Average Loss  0.606677, Time  0.237741
2021-09-15 21:59:53.006776 : Epoch  3, Batch    391, Loss  0.872083, Average Loss  0.869866, Time  0.265841
2021-09-15 21:59:54.054195 : Epoch  5, Batch    211, Loss  0.604093, Average Loss  0.606625, Time  0.235934
2021-09-15 21:59:55.576043 : Epoch  5, Batch    212, Loss  0.605398, Average Loss  0.606612, Time  0.237420
2021-09-15 21:59:55.980891 : Epoch  3, Batch    392, Loss  0.870082, Average Loss  0.869888, Time  0.265556
2021-09-15 21:59:57.113882 : Epoch  5, Batch    213, Loss  0.613409, Average Loss  0.606696, Time  0.236225
2021-09-15 21:59:58.640527 : Epoch  5, Batch    214, Loss  0.606220, Average Loss  0.606697, Time  0.236377
2021-09-15 21:59:58.972960 : Epoch  3, Batch    393, Loss  0.858479, Average Loss  0.869795, Time  0.264959
2021-09-15 22:00:00.160617 : Epoch  5, Batch    215, Loss  0.609872, Average Loss  0.606674, Time  0.235767
2021-09-15 22:00:01.698127 : Epoch  5, Batch    216, Loss  0.597541, Average Loss  0.606623, Time  0.235973
2021-09-15 22:00:01.945112 : Epoch  3, Batch    394, Loss  0.871617, Average Loss  0.869883, Time  0.265450
2021-09-15 22:00:03.229472 : Epoch  5, Batch    217, Loss  0.603457, Average Loss  0.606613, Time  0.236459
2021-09-15 22:00:04.764436 : Epoch  5, Batch    218, Loss  0.608164, Average Loss  0.606639, Time  0.235749
2021-09-15 22:00:04.937110 : Epoch  3, Batch    395, Loss  0.884771, Average Loss  0.869847, Time  0.265215
2021-09-15 22:00:06.290146 : Epoch  5, Batch    219, Loss  0.607332, Average Loss  0.606621, Time  0.235616
2021-09-15 22:00:07.820400 : Epoch  5, Batch    220, Loss  0.596713, Average Loss  0.606575, Time  0.235764
2021-09-15 22:00:07.909742 : Epoch  3, Batch    396, Loss  0.885447, Average Loss  0.870036, Time  0.265733
2021-09-15 22:00:09.351545 : Epoch  5, Batch    221, Loss  0.593092, Average Loss  0.606514, Time  0.235712
2021-09-15 22:00:10.880848 : Epoch  5, Batch    222, Loss  0.608461, Average Loss  0.606563, Time  0.237115
2021-09-15 22:00:10.889428 : Epoch  3, Batch    397, Loss  0.883196, Average Loss  0.870192, Time  0.265736
2021-09-15 22:00:13.893220 : Epoch  3, Batch    398, Loss  0.871744, Average Loss  0.870227, Time  0.265428
2021-09-15 22:00:14.728438 : Epoch  5, Batch    223, Loss  0.624407, Average Loss  0.606650, Time  0.263544
2021-09-15 22:00:15.338448 : Epoch  3, Batch    399, Loss  0.864369, Average Loss  0.870238, Time  0.165268
2021-09-15 22:00:16.273450 : Epoch  5, Batch    224, Loss  0.608688, Average Loss  0.606656, Time  0.241910
2021-09-15 22:00:17.797375 : Epoch  5, Batch    225, Loss  0.596987, Average Loss  0.606633, Time  0.236411
2021-09-15 22:00:18.354180 : Epoch  3, Batch    400, Loss  0.839202, Average Loss  0.870292, Time  0.266300
2021-09-15 22:00:19.319952 : Epoch  5, Batch    226, Loss  0.596681, Average Loss  0.606588, Time  0.237534
2021-09-15 22:00:20.847395 : Epoch  5, Batch    227, Loss  0.603073, Average Loss  0.606596, Time  0.235806
2021-09-15 22:00:21.344841 : Epoch  3, Batch    401, Loss  0.861760, Average Loss  0.870204, Time  0.266600
2021-09-15 22:00:22.374445 : Epoch  5, Batch    228, Loss  0.600558, Average Loss  0.606549, Time  0.236966
2021-09-15 22:00:23.903792 : Epoch  5, Batch    229, Loss  0.606077, Average Loss  0.606480, Time  0.236240
2021-09-15 22:00:24.333506 : Epoch  3, Batch    402, Loss  0.896095, Average Loss  0.870150, Time  0.273343
2021-09-15 22:00:25.435409 : Epoch  5, Batch    230, Loss  0.603736, Average Loss  0.606502, Time  0.235802
2021-09-15 22:00:26.967709 : Epoch  5, Batch    231, Loss  0.614269, Average Loss  0.606514, Time  0.237591
2021-09-15 22:00:27.316896 : Epoch  3, Batch    403, Loss  0.855871, Average Loss  0.870064, Time  0.265713
2021-09-15 22:00:28.497402 : Epoch  5, Batch    232, Loss  0.614245, Average Loss  0.606575, Time  0.235968
2021-09-15 22:00:30.015475 : Epoch  5, Batch    233, Loss  0.592700, Average Loss  0.606428, Time  0.236312
2021-09-15 22:00:30.293336 : Epoch  3, Batch    404, Loss  0.872583, Average Loss  0.870007, Time  0.266778
2021-09-15 22:00:31.539401 : Epoch  5, Batch    234, Loss  0.619979, Average Loss  0.606527, Time  0.236904
2021-09-15 22:00:33.076592 : Epoch  5, Batch    235, Loss  0.602604, Average Loss  0.606529, Time  0.242062
2021-09-15 22:00:33.261225 : Epoch  3, Batch    405, Loss  0.869285, Average Loss  0.869910, Time  0.266031
2021-09-15 22:00:34.595725 : Epoch  5, Batch    236, Loss  0.595802, Average Loss  0.606414, Time  0.235855
2021-09-15 22:00:36.119510 : Epoch  5, Batch    237, Loss  0.605973, Average Loss  0.606388, Time  0.235565
2021-09-15 22:00:36.253042 : Epoch  3, Batch    406, Loss  0.887331, Average Loss  0.869996, Time  0.265831
2021-09-15 22:00:37.644974 : Epoch  5, Batch    238, Loss  0.600129, Average Loss  0.606340, Time  0.235459
2021-09-15 22:00:39.171416 : Epoch  5, Batch    239, Loss  0.607070, Average Loss  0.606291, Time  0.235803
2021-09-15 22:00:39.259730 : Epoch  3, Batch    407, Loss  0.887746, Average Loss  0.870122, Time  0.266090
2021-09-15 22:00:40.697388 : Epoch  5, Batch    240, Loss  0.604543, Average Loss  0.606235, Time  0.235940
2021-09-15 22:00:42.226074 : Epoch  5, Batch    241, Loss  0.597920, Average Loss  0.606209, Time  0.240036
2021-09-15 22:00:42.267039 : Epoch  3, Batch    408, Loss  0.884286, Average Loss  0.870275, Time  0.266270
2021-09-15 22:00:43.745254 : Epoch  5, Batch    242, Loss  0.609605, Average Loss  0.606241, Time  0.235855
2021-09-15 22:00:45.272873 : Epoch  5, Batch    243, Loss  0.609121, Average Loss  0.606238, Time  0.236287
2021-09-15 22:00:45.283146 : Epoch  3, Batch    409, Loss  0.844166, Average Loss  0.870166, Time  0.265748
2021-09-15 22:00:46.800112 : Epoch  5, Batch    244, Loss  0.617900, Average Loss  0.606315, Time  0.235637
2021-09-15 22:00:48.280430 : Epoch  3, Batch    410, Loss  0.871419, Average Loss  0.870239, Time  0.265911
2021-09-15 22:00:48.325752 : Epoch  5, Batch    245, Loss  0.600376, Average Loss  0.606244, Time  0.236580
2021-09-15 22:00:49.843421 : Epoch  5, Batch    246, Loss  0.604707, Average Loss  0.606256, Time  0.235621
2021-09-15 22:00:51.264161 : Epoch  3, Batch    411, Loss  0.869657, Average Loss  0.870246, Time  0.266323
2021-09-15 22:00:51.369274 : Epoch  5, Batch    247, Loss  0.603525, Average Loss  0.606235, Time  0.236372
2021-09-15 22:00:52.897866 : Epoch  5, Batch    248, Loss  0.604111, Average Loss  0.606188, Time  0.235834
2021-09-15 22:00:54.262226 : Epoch  3, Batch    412, Loss  0.871681, Average Loss  0.870214, Time  0.264931
2021-09-15 22:00:54.426245 : Epoch  5, Batch    249, Loss  0.611391, Average Loss  0.606215, Time  0.236431
2021-09-15 22:00:55.946899 : Epoch  5, Batch    250, Loss  0.604670, Average Loss  0.606196, Time  0.235580
2021-09-15 22:00:57.253134 : Epoch  3, Batch    413, Loss  0.867535, Average Loss  0.870219, Time  0.266098
2021-09-15 22:00:57.489063 : Epoch  5, Batch    251, Loss  0.605354, Average Loss  0.606203, Time  0.237055
2021-09-15 22:00:59.000325 : Epoch  5, Batch    252, Loss  0.601891, Average Loss  0.606145, Time  0.235500
2021-09-15 22:01:00.277332 : Epoch  3, Batch    414, Loss  0.876610, Average Loss  0.870256, Time  0.264641
2021-09-15 22:01:03.268543 : Epoch  3, Batch    415, Loss  0.880777, Average Loss  0.870446, Time  0.265224
2021-09-15 22:01:06.283432 : Epoch  3, Batch    416, Loss  0.859468, Average Loss  0.870391, Time  0.266900
2021-09-15 22:01:09.350777 : Epoch  3, Batch    417, Loss  0.876187, Average Loss  0.870385, Time  0.279594
2021-09-15 22:01:12.330445 : Epoch  3, Batch    418, Loss  0.864044, Average Loss  0.870309, Time  0.265764
2021-09-15 22:01:15.320578 : Epoch  3, Batch    419, Loss  0.865519, Average Loss  0.870328, Time  0.265925
2021-09-15 22:01:18.308901 : Epoch  3, Batch    420, Loss  0.855064, Average Loss  0.870292, Time  0.265239
2021-09-15 22:01:21.282888 : Epoch  3, Batch    421, Loss  0.884547, Average Loss  0.870211, Time  0.264546
2021-09-15 22:01:24.261965 : Epoch  3, Batch    422, Loss  0.854673, Average Loss  0.870005, Time  0.266010
2021-09-15 22:01:27.257424 : Epoch  3, Batch    423, Loss  0.895806, Average Loss  0.870122, Time  0.265059
2021-09-15 22:01:30.233852 : Epoch  3, Batch    424, Loss  0.866603, Average Loss  0.870064, Time  0.265543
2021-09-15 22:01:33.263013 : Epoch  3, Batch    425, Loss  0.868066, Average Loss  0.870022, Time  0.266418
2021-09-15 22:01:36.245937 : Epoch  3, Batch    426, Loss  0.867601, Average Loss  0.870038, Time  0.266217
2021-09-15 22:01:39.244528 : Epoch  3, Batch    427, Loss  0.874692, Average Loss  0.870086, Time  0.266096
2021-09-15 22:01:42.216249 : Epoch  3, Batch    428, Loss  0.851783, Average Loss  0.869976, Time  0.265465
2021-09-15 22:01:45.247936 : Epoch  3, Batch    429, Loss  0.870584, Average Loss  0.870046, Time  0.266047
2021-09-15 22:01:48.274888 : Epoch  3, Batch    430, Loss  0.881711, Average Loss  0.870092, Time  0.277725
2021-09-15 22:01:51.353166 : Epoch  3, Batch    431, Loss  0.856605, Average Loss  0.870058, Time  0.268058
2021-09-15 22:01:54.457641 : Epoch  3, Batch    432, Loss  0.891693, Average Loss  0.870139, Time  0.278851
2021-09-15 22:01:56.057740 : CheckPoint: Validation Loss  0.00026325, Best Loss  0.00024924
2021-09-15 22:01:57.436375 : Epoch  3, Batch    433, Loss  0.888141, Average Loss  0.870342, Time  0.266643
2021-09-15 22:01:57.598968 : Epoch  5, Batch    253, Loss  0.601286, Average Loss  0.606130, Time  0.236229
2021-09-15 22:01:59.117021 : Epoch  5, Batch    254, Loss  0.604143, Average Loss  0.606128, Time  0.235677
2021-09-15 22:02:00.487141 : Epoch  3, Batch    434, Loss  0.880032, Average Loss  0.870390, Time  0.268010
2021-09-15 22:02:00.652174 : Epoch  5, Batch    255, Loss  0.601467, Average Loss  0.606103, Time  0.235613
2021-09-15 22:02:02.174364 : Epoch  5, Batch    256, Loss  0.609132, Average Loss  0.606158, Time  0.237150
2021-09-15 22:02:03.556567 : Epoch  3, Batch    435, Loss  0.882885, Average Loss  0.870482, Time  0.266084
2021-09-15 22:02:03.705607 : Epoch  5, Batch    257, Loss  0.616221, Average Loss  0.606209, Time  0.235877
2021-09-15 22:02:05.225399 : Epoch  5, Batch    258, Loss  0.591092, Average Loss  0.606180, Time  0.235409
2021-09-15 22:02:06.548348 : Epoch  3, Batch    436, Loss  0.862461, Average Loss  0.870362, Time  0.265725
2021-09-15 22:02:06.744152 : Epoch  5, Batch    259, Loss  0.608301, Average Loss  0.606164, Time  0.236133
2021-09-15 22:02:08.259876 : Epoch  5, Batch    260, Loss  0.607273, Average Loss  0.606122, Time  0.235985
2021-09-15 22:02:09.564377 : Epoch  3, Batch    437, Loss  0.855538, Average Loss  0.870284, Time  0.265160
2021-09-15 22:02:09.792099 : Epoch  5, Batch    261, Loss  0.598869, Average Loss  0.606070, Time  0.235738
2021-09-15 22:02:11.307745 : Epoch  5, Batch    262, Loss  0.620031, Average Loss  0.606159, Time  0.236498
2021-09-15 22:02:12.540946 : Epoch  3, Batch    438, Loss  0.846443, Average Loss  0.870256, Time  0.265259
2021-09-15 22:02:12.831602 : Epoch  5, Batch    263, Loss  0.598499, Average Loss  0.606095, Time  0.236135
2021-09-15 22:02:14.346896 : Epoch  5, Batch    264, Loss  0.629888, Average Loss  0.606223, Time  0.236514
2021-09-15 22:02:15.528337 : Epoch  3, Batch    439, Loss  0.874148, Average Loss  0.870375, Time  0.266200
2021-09-15 22:02:15.869236 : Epoch  5, Batch    265, Loss  0.610836, Average Loss  0.606271, Time  0.236330
2021-09-15 22:02:17.383423 : Epoch  5, Batch    266, Loss  0.596834, Average Loss  0.606183, Time  0.236524
2021-09-15 22:02:18.538881 : Epoch  3, Batch    440, Loss  0.864271, Average Loss  0.870271, Time  0.267731
2021-09-15 22:02:18.899139 : Epoch  5, Batch    267, Loss  0.609845, Average Loss  0.606260, Time  0.236032
2021-09-15 22:02:20.424410 : Epoch  5, Batch    268, Loss  0.607650, Average Loss  0.606323, Time  0.237424
2021-09-15 22:02:21.652770 : Epoch  3, Batch    441, Loss  0.856853, Average Loss  0.870146, Time  0.267875
2021-09-15 22:02:21.944525 : Epoch  5, Batch    269, Loss  0.595289, Average Loss  0.606283, Time  0.236094
2021-09-15 22:02:23.460997 : Epoch  5, Batch    270, Loss  0.609527, Average Loss  0.606290, Time  0.237270
2021-09-15 22:02:24.827004 : Epoch  3, Batch    442, Loss  0.867172, Average Loss  0.870178, Time  0.268097
2021-09-15 22:02:24.987786 : Epoch  5, Batch    271, Loss  0.609212, Average Loss  0.606243, Time  0.236206
2021-09-15 22:02:26.503379 : Epoch  5, Batch    272, Loss  0.601159, Average Loss  0.606158, Time  0.236164
2021-09-15 22:02:27.946107 : Epoch  3, Batch    443, Loss  0.882202, Average Loss  0.870230, Time  0.268390
2021-09-15 22:02:28.027742 : Epoch  5, Batch    273, Loss  0.607479, Average Loss  0.606117, Time  0.240941
2021-09-15 22:02:29.552862 : Epoch  5, Batch    274, Loss  0.598915, Average Loss  0.606078, Time  0.235777
2021-09-15 22:02:31.079365 : Epoch  5, Batch    275, Loss  0.604088, Average Loss  0.606023, Time  0.236157
2021-09-15 22:02:31.092754 : Epoch  3, Batch    444, Loss  0.891248, Average Loss  0.870302, Time  0.269655
2021-09-15 22:02:32.593343 : Epoch  5, Batch    276, Loss  0.596458, Average Loss  0.605989, Time  0.235861
2021-09-15 22:02:34.113725 : Epoch  5, Batch    277, Loss  0.606085, Average Loss  0.606037, Time  0.235607
2021-09-15 22:02:34.216843 : Epoch  3, Batch    445, Loss  0.877264, Average Loss  0.870358, Time  0.267444
2021-09-15 22:02:35.637388 : Epoch  5, Batch    278, Loss  0.599220, Average Loss  0.606060, Time  0.237213
2021-09-15 22:02:37.190019 : Epoch  5, Batch    279, Loss  0.593104, Average Loss  0.606042, Time  0.237963
2021-09-15 22:02:37.309274 : Epoch  3, Batch    446, Loss  0.848831, Average Loss  0.870225, Time  0.267448
2021-09-15 22:02:38.708930 : Epoch  5, Batch    280, Loss  0.610680, Average Loss  0.606128, Time  0.237358
2021-09-15 22:02:40.243101 : Epoch  5, Batch    281, Loss  0.615516, Average Loss  0.606258, Time  0.236665
2021-09-15 22:02:40.392125 : Epoch  3, Batch    447, Loss  0.860643, Average Loss  0.870163, Time  0.280661
2021-09-15 22:02:41.789589 : Epoch  5, Batch    282, Loss  0.600298, Average Loss  0.606194, Time  0.237032
2021-09-15 22:02:43.314706 : Epoch  5, Batch    283, Loss  0.601661, Average Loss  0.606163, Time  0.238232
2021-09-15 22:02:43.490037 : Epoch  3, Batch    448, Loss  0.869984, Average Loss  0.870184, Time  0.268333
2021-09-15 22:02:44.853252 : Epoch  5, Batch    284, Loss  0.606032, Average Loss  0.606160, Time  0.235747
2021-09-15 22:02:46.374634 : Epoch  5, Batch    285, Loss  0.600323, Average Loss  0.606074, Time  0.235932
2021-09-15 22:02:46.589981 : Epoch  3, Batch    449, Loss  0.856625, Average Loss  0.870172, Time  0.270314
2021-09-15 22:02:47.899835 : Epoch  5, Batch    286, Loss  0.609731, Average Loss  0.606110, Time  0.237904
2021-09-15 22:02:49.429857 : Epoch  5, Batch    287, Loss  0.605198, Average Loss  0.606091, Time  0.238621
2021-09-15 22:02:49.680156 : Epoch  3, Batch    450, Loss  0.873972, Average Loss  0.870201, Time  0.267344
2021-09-15 22:02:50.955146 : Epoch  5, Batch    288, Loss  0.621668, Average Loss  0.606155, Time  0.238985
2021-09-15 22:02:52.479903 : Epoch  5, Batch    289, Loss  0.617560, Average Loss  0.606244, Time  0.237859
2021-09-15 22:02:52.754346 : Epoch  3, Batch    451, Loss  0.846100, Average Loss  0.870028, Time  0.267271
2021-09-15 22:02:53.997197 : Epoch  5, Batch    290, Loss  0.607917, Average Loss  0.606230, Time  0.236229
2021-09-15 22:02:55.522968 : Epoch  5, Batch    291, Loss  0.605862, Average Loss  0.606255, Time  0.236575
2021-09-15 22:02:55.903647 : Epoch  3, Batch    452, Loss  0.855334, Average Loss  0.869982, Time  0.268788
2021-09-15 22:02:57.050037 : Epoch  5, Batch    292, Loss  0.620866, Average Loss  0.606315, Time  0.235716
2021-09-15 22:02:58.580974 : Epoch  5, Batch    293, Loss  0.615092, Average Loss  0.606349, Time  0.236171
2021-09-15 22:02:58.984893 : Epoch  3, Batch    453, Loss  0.871946, Average Loss  0.870152, Time  0.267191
2021-09-15 22:03:00.109379 : Epoch  5, Batch    294, Loss  0.609720, Average Loss  0.606402, Time  0.239098
2021-09-15 22:03:01.638554 : Epoch  5, Batch    295, Loss  0.611768, Average Loss  0.606398, Time  0.236399
2021-09-15 22:03:02.015606 : Epoch  3, Batch    454, Loss  0.851453, Average Loss  0.870119, Time  0.268600
2021-09-15 22:03:03.164040 : Epoch  5, Batch    296, Loss  0.601527, Average Loss  0.606326, Time  0.236324
2021-09-15 22:03:04.692329 : Epoch  5, Batch    297, Loss  0.603187, Average Loss  0.606298, Time  0.237484
2021-09-15 22:03:05.069553 : Epoch  3, Batch    455, Loss  0.876686, Average Loss  0.870159, Time  0.268454
2021-09-15 22:03:06.210594 : Epoch  5, Batch    298, Loss  0.616353, Average Loss  0.606351, Time  0.236251
2021-09-15 22:03:07.736632 : Epoch  5, Batch    299, Loss  0.595972, Average Loss  0.606248, Time  0.235335
2021-09-15 22:03:08.153776 : Epoch  3, Batch    456, Loss  0.896062, Average Loss  0.870287, Time  0.267707
2021-09-15 22:03:09.259577 : Epoch  5, Batch    300, Loss  0.599579, Average Loss  0.606178, Time  0.236348
2021-09-15 22:03:10.794388 : Epoch  5, Batch    301, Loss  0.617528, Average Loss  0.606225, Time  0.236741
2021-09-15 22:03:11.198459 : Epoch  3, Batch    457, Loss  0.869644, Average Loss  0.870354, Time  0.268349
2021-09-15 22:03:12.315567 : Epoch  5, Batch    302, Loss  0.608048, Average Loss  0.606238, Time  0.236501
2021-09-15 22:03:13.837074 : Epoch  5, Batch    303, Loss  0.600248, Average Loss  0.606210, Time  0.236278
2021-09-15 22:03:14.231952 : Epoch  3, Batch    458, Loss  0.863371, Average Loss  0.870379, Time  0.264673
2021-09-15 22:03:15.359001 : Epoch  5, Batch    304, Loss  0.602787, Average Loss  0.606162, Time  0.236897
2021-09-15 22:03:16.886880 : Epoch  5, Batch    305, Loss  0.603429, Average Loss  0.606098, Time  0.236757
2021-09-15 22:03:17.345343 : Epoch  3, Batch    459, Loss  0.886105, Average Loss  0.870444, Time  0.267665
2021-09-15 22:03:18.412455 : Epoch  5, Batch    306, Loss  0.607663, Average Loss  0.606096, Time  0.236547
2021-09-15 22:03:19.944455 : Epoch  5, Batch    307, Loss  0.598375, Average Loss  0.606070, Time  0.237113
2021-09-15 22:03:20.423549 : Epoch  3, Batch    460, Loss  0.890315, Average Loss  0.870617, Time  0.266052
2021-09-15 22:03:21.464782 : Epoch  5, Batch    308, Loss  0.607731, Average Loss  0.606042, Time  0.235698
2021-09-15 22:03:22.989516 : Epoch  5, Batch    309, Loss  0.604393, Average Loss  0.606053, Time  0.236919
2021-09-15 22:03:23.511410 : Epoch  3, Batch    461, Loss  0.874968, Average Loss  0.870552, Time  0.265850
2021-09-15 22:03:24.514374 : Epoch  5, Batch    310, Loss  0.614980, Average Loss  0.606069, Time  0.237373
2021-09-15 22:03:26.037884 : Epoch  5, Batch    311, Loss  0.589633, Average Loss  0.606018, Time  0.235761
2021-09-15 22:03:26.586919 : Epoch  3, Batch    462, Loss  0.867857, Average Loss  0.870707, Time  0.279015
2021-09-15 22:03:27.563979 : Epoch  5, Batch    312, Loss  0.606386, Average Loss  0.605993, Time  0.235765
2021-09-15 22:03:29.095989 : Epoch  5, Batch    313, Loss  0.605748, Average Loss  0.605934, Time  0.235967
2021-09-15 22:03:29.662711 : Epoch  3, Batch    463, Loss  0.851008, Average Loss  0.870661, Time  0.267166
2021-09-15 22:03:30.624084 : Epoch  5, Batch    314, Loss  0.611329, Average Loss  0.605986, Time  0.236004
2021-09-15 22:03:32.150880 : Epoch  5, Batch    315, Loss  0.604672, Average Loss  0.606004, Time  0.235782
2021-09-15 22:03:32.728302 : Epoch  3, Batch    464, Loss  0.878551, Average Loss  0.870770, Time  0.267539
2021-09-15 22:03:33.678046 : Epoch  5, Batch    316, Loss  0.600985, Average Loss  0.606021, Time  0.236028
2021-09-15 22:03:35.226301 : Epoch  5, Batch    317, Loss  0.612755, Average Loss  0.606047, Time  0.235721
2021-09-15 22:03:35.803981 : Epoch  3, Batch    465, Loss  0.870312, Average Loss  0.870763, Time  0.266801
2021-09-15 22:03:36.769837 : Epoch  5, Batch    318, Loss  0.613260, Average Loss  0.606102, Time  0.235984
2021-09-15 22:03:38.301026 : Epoch  5, Batch    319, Loss  0.621528, Average Loss  0.606142, Time  0.235704
2021-09-15 22:03:38.888320 : Epoch  3, Batch    466, Loss  0.863539, Average Loss  0.870686, Time  0.267325
2021-09-15 22:03:39.833150 : Epoch  5, Batch    320, Loss  0.604213, Average Loss  0.606124, Time  0.235634
2021-09-15 22:03:41.364966 : Epoch  5, Batch    321, Loss  0.609314, Average Loss  0.606154, Time  0.239125
2021-09-15 22:03:41.970852 : Epoch  3, Batch    467, Loss  0.871475, Average Loss  0.870589, Time  0.266435
2021-09-15 22:03:42.896972 : Epoch  5, Batch    322, Loss  0.604568, Average Loss  0.606140, Time  0.236465
2021-09-15 22:03:45.044311 : Epoch  3, Batch    468, Loss  0.891828, Average Loss  0.870554, Time  0.267117
2021-09-15 22:03:46.787196 : Epoch  5, Batch    323, Loss  0.600020, Average Loss  0.606110, Time  0.247962
2021-09-15 22:03:48.127818 : Epoch  3, Batch    469, Loss  0.856296, Average Loss  0.870509, Time  0.267183
2021-09-15 22:03:48.315285 : Epoch  5, Batch    324, Loss  0.611933, Average Loss  0.606139, Time  0.237571
2021-09-15 22:03:49.825238 : Epoch  5, Batch    325, Loss  0.604706, Average Loss  0.606185, Time  0.236247
2021-09-15 22:03:51.198487 : Epoch  3, Batch    470, Loss  0.885775, Average Loss  0.870667, Time  0.266958
2021-09-15 22:03:51.344043 : Epoch  5, Batch    326, Loss  0.592296, Average Loss  0.606140, Time  0.235862
2021-09-15 22:03:52.859370 : Epoch  5, Batch    327, Loss  0.619069, Average Loss  0.606153, Time  0.236491
2021-09-15 22:03:54.265897 : Epoch  3, Batch    471, Loss  0.873101, Average Loss  0.870684, Time  0.266109
2021-09-15 22:03:54.371294 : Epoch  5, Batch    328, Loss  0.604946, Average Loss  0.606164, Time  0.236157
2021-09-15 22:03:55.887847 : Epoch  5, Batch    329, Loss  0.609895, Average Loss  0.606206, Time  0.236603
2021-09-15 22:03:57.342341 : Epoch  3, Batch    472, Loss  0.866356, Average Loss  0.870643, Time  0.265722
2021-09-15 22:03:57.410012 : Epoch  5, Batch    330, Loss  0.599710, Average Loss  0.606132, Time  0.235729
2021-09-15 22:03:58.920088 : Epoch  5, Batch    331, Loss  0.603929, Average Loss  0.606133, Time  0.235742
2021-09-15 22:04:00.412531 : Epoch  3, Batch    473, Loss  0.872048, Average Loss  0.870554, Time  0.266330
2021-09-15 22:04:00.443319 : Epoch  5, Batch    332, Loss  0.608603, Average Loss  0.606115, Time  0.237127
2021-09-15 22:04:01.949921 : Epoch  5, Batch    333, Loss  0.602514, Average Loss  0.606109, Time  0.236243
2021-09-15 22:04:03.469424 : Epoch  5, Batch    334, Loss  0.621698, Average Loss  0.606187, Time  0.237088
2021-09-15 22:04:03.488891 : Epoch  3, Batch    474, Loss  0.851271, Average Loss  0.870351, Time  0.266726
2021-09-15 22:04:04.997830 : Epoch  5, Batch    335, Loss  0.610915, Average Loss  0.606135, Time  0.235995
2021-09-15 22:04:06.516734 : Epoch  5, Batch    336, Loss  0.606939, Average Loss  0.606168, Time  0.236878
2021-09-15 22:04:06.577281 : Epoch  3, Batch    475, Loss  0.858437, Average Loss  0.870405, Time  0.271576
2021-09-15 22:04:08.023931 : Epoch  5, Batch    337, Loss  0.596073, Average Loss  0.606100, Time  0.235825
2021-09-15 22:04:09.538989 : Epoch  5, Batch    338, Loss  0.590212, Average Loss  0.606043, Time  0.235909
2021-09-15 22:04:09.655279 : Epoch  3, Batch    476, Loss  0.859393, Average Loss  0.870368, Time  0.266875
2021-09-15 22:04:11.062326 : Epoch  5, Batch    339, Loss  0.616629, Average Loss  0.606096, Time  0.236705
2021-09-15 22:04:12.572178 : Epoch  5, Batch    340, Loss  0.617544, Average Loss  0.606103, Time  0.237637
2021-09-15 22:04:12.729605 : Epoch  3, Batch    477, Loss  0.856476, Average Loss  0.870348, Time  0.276163
2021-09-15 22:04:14.104116 : Epoch  5, Batch    341, Loss  0.617344, Average Loss  0.606137, Time  0.236914
2021-09-15 22:04:15.622177 : Epoch  5, Batch    342, Loss  0.599907, Average Loss  0.606133, Time  0.235996
2021-09-15 22:04:15.787577 : Epoch  3, Batch    478, Loss  0.867243, Average Loss  0.870402, Time  0.266357
2021-09-15 22:04:17.138277 : Epoch  5, Batch    343, Loss  0.602398, Average Loss  0.606102, Time  0.237176
2021-09-15 22:04:18.660806 : Epoch  5, Batch    344, Loss  0.604934, Average Loss  0.606127, Time  0.238133
2021-09-15 22:04:18.848761 : Epoch  3, Batch    479, Loss  0.856431, Average Loss  0.870244, Time  0.266462
2021-09-15 22:04:20.186077 : Epoch  5, Batch    345, Loss  0.603688, Average Loss  0.606082, Time  0.236116
2021-09-15 22:04:21.713046 : Epoch  5, Batch    346, Loss  0.615345, Average Loss  0.606134, Time  0.236110
2021-09-15 22:04:21.915496 : Epoch  3, Batch    480, Loss  0.855915, Average Loss  0.870144, Time  0.267666
2021-09-15 22:04:23.240138 : Epoch  5, Batch    347, Loss  0.613893, Average Loss  0.606122, Time  0.236100
2021-09-15 22:04:24.761091 : Epoch  5, Batch    348, Loss  0.597645, Average Loss  0.606092, Time  0.235860
2021-09-15 22:04:24.985061 : Epoch  3, Batch    481, Loss  0.842176, Average Loss  0.870049, Time  0.267045
2021-09-15 22:04:26.292533 : Epoch  5, Batch    349, Loss  0.599879, Average Loss  0.606100, Time  0.235303
2021-09-15 22:04:27.814379 : Epoch  5, Batch    350, Loss  0.610499, Average Loss  0.606121, Time  0.237656
2021-09-15 22:04:28.061380 : Epoch  3, Batch    482, Loss  0.881454, Average Loss  0.870031, Time  0.266605
2021-09-15 22:04:29.331909 : Epoch  5, Batch    351, Loss  0.604735, Average Loss  0.606134, Time  0.237368
2021-09-15 22:04:30.866004 : Epoch  5, Batch    352, Loss  0.604964, Average Loss  0.606125, Time  0.239023
2021-09-15 22:04:31.141213 : Epoch  3, Batch    483, Loss  0.872418, Average Loss  0.870061, Time  0.266217
2021-09-15 22:04:34.214078 : Epoch  3, Batch    484, Loss  0.864856, Average Loss  0.870104, Time  0.268953
2021-09-15 22:04:37.291295 : Epoch  3, Batch    485, Loss  0.863375, Average Loss  0.870175, Time  0.266197
2021-09-15 22:04:40.372893 : Epoch  3, Batch    486, Loss  0.846849, Average Loss  0.870031, Time  0.267246
2021-09-15 22:04:43.459990 : Epoch  3, Batch    487, Loss  0.875509, Average Loss  0.870022, Time  0.267735
2021-09-15 22:04:46.537594 : Epoch  3, Batch    488, Loss  0.881346, Average Loss  0.870058, Time  0.267371
2021-09-15 22:05:27.340095 : CheckPoint: Validation Loss  0.00025508, Best Loss  0.00024924
2021-09-15 22:05:28.866950 : Epoch  5, Batch    353, Loss  0.606830, Average Loss  0.606134, Time  0.236571
2021-09-15 22:05:30.380918 : Epoch  5, Batch    354, Loss  0.602355, Average Loss  0.606098, Time  0.237281
2021-09-15 22:05:31.897128 : Epoch  5, Batch    355, Loss  0.614902, Average Loss  0.606145, Time  0.237074
2021-09-15 22:05:33.407449 : Epoch  5, Batch    356, Loss  0.605655, Average Loss  0.606199, Time  0.236021
2021-09-15 22:05:34.928506 : Epoch  5, Batch    357, Loss  0.596391, Average Loss  0.606164, Time  0.236808
2021-09-15 22:05:36.454821 : Epoch  5, Batch    358, Loss  0.614020, Average Loss  0.606210, Time  0.236034
2021-09-15 22:05:37.972381 : Epoch  5, Batch    359, Loss  0.615599, Average Loss  0.606213, Time  0.236216
2021-09-15 22:05:39.494435 : Epoch  5, Batch    360, Loss  0.604623, Average Loss  0.606175, Time  0.237402
2021-09-15 22:05:41.011413 : Epoch  5, Batch    361, Loss  0.591459, Average Loss  0.606071, Time  0.235647
2021-09-15 22:05:42.535229 : Epoch  5, Batch    362, Loss  0.610964, Average Loss  0.606120, Time  0.235913
2021-09-15 22:05:44.059060 : Epoch  5, Batch    363, Loss  0.600867, Average Loss  0.606050, Time  0.236983
2021-09-15 22:05:45.574511 : Epoch  5, Batch    364, Loss  0.604880, Average Loss  0.606033, Time  0.235571
2021-09-15 22:05:47.087727 : Epoch  5, Batch    365, Loss  0.614802, Average Loss  0.606083, Time  0.235897
2021-09-15 22:05:48.610333 : Epoch  5, Batch    366, Loss  0.586511, Average Loss  0.605935, Time  0.236254
2021-09-15 22:05:50.152051 : Epoch  5, Batch    367, Loss  0.598212, Average Loss  0.605909, Time  0.235620
2021-09-15 22:05:51.663756 : Epoch  5, Batch    368, Loss  0.594000, Average Loss  0.605870, Time  0.235488
2021-09-15 22:05:53.183407 : Epoch  5, Batch    369, Loss  0.603287, Average Loss  0.605818, Time  0.236655
2021-09-15 22:05:54.708440 : Epoch  5, Batch    370, Loss  0.602188, Average Loss  0.605842, Time  0.236025
2021-09-15 22:05:56.227977 : Epoch  5, Batch    371, Loss  0.600024, Average Loss  0.605739, Time  0.235924
2021-09-15 22:05:57.742871 : Epoch  5, Batch    372, Loss  0.611907, Average Loss  0.605818, Time  0.235891
2021-09-15 22:05:59.265245 : Epoch  5, Batch    373, Loss  0.603702, Average Loss  0.605803, Time  0.236039
2021-09-15 22:06:00.783407 : Epoch  5, Batch    374, Loss  0.604087, Average Loss  0.605823, Time  0.236155
2021-09-15 22:06:02.305407 : Epoch  5, Batch    375, Loss  0.604810, Average Loss  0.605812, Time  0.235452
2021-09-15 22:06:03.823766 : Epoch  5, Batch    376, Loss  0.598582, Average Loss  0.605778, Time  0.236174
2021-09-15 22:06:05.343565 : Epoch  5, Batch    377, Loss  0.610012, Average Loss  0.605828, Time  0.235894
2021-09-15 22:06:06.849955 : Epoch  5, Batch    378, Loss  0.606537, Average Loss  0.605786, Time  0.236680
2021-09-15 22:06:08.361930 : Epoch  5, Batch    379, Loss  0.612446, Average Loss  0.605837, Time  0.236998
2021-09-15 22:06:09.880444 : Epoch  5, Batch    380, Loss  0.614899, Average Loss  0.605865, Time  0.235831
2021-09-15 22:06:11.399695 : Epoch  5, Batch    381, Loss  0.612051, Average Loss  0.605864, Time  0.236159
2021-09-15 22:06:12.916133 : Epoch  5, Batch    382, Loss  0.604753, Average Loss  0.605822, Time  0.235585
2021-09-15 22:06:14.441176 : Epoch  5, Batch    383, Loss  0.606854, Average Loss  0.605796, Time  0.236249
2021-09-15 22:06:15.957030 : Epoch  5, Batch    384, Loss  0.610772, Average Loss  0.605809, Time  0.236104
2021-09-15 22:06:17.469423 : Epoch  5, Batch    385, Loss  0.602447, Average Loss  0.605770, Time  0.236617
2021-09-15 22:06:18.992791 : Epoch  5, Batch    386, Loss  0.608979, Average Loss  0.605813, Time  0.236178
2021-09-15 22:06:20.504681 : Epoch  5, Batch    387, Loss  0.600143, Average Loss  0.605805, Time  0.235619
2021-09-15 22:06:22.025888 : Epoch  5, Batch    388, Loss  0.619254, Average Loss  0.605836, Time  0.236180
2021-09-15 22:06:23.542982 : Epoch  5, Batch    389, Loss  0.610695, Average Loss  0.605844, Time  0.237181
2021-09-15 22:06:25.057558 : Epoch  5, Batch    390, Loss  0.600375, Average Loss  0.605801, Time  0.236398
2021-09-15 22:06:26.572035 : Epoch  5, Batch    391, Loss  0.600806, Average Loss  0.605795, Time  0.236378
2021-09-15 22:06:28.091054 : Epoch  5, Batch    392, Loss  0.601819, Average Loss  0.605749, Time  0.237256
2021-09-15 22:06:29.613848 : Epoch  5, Batch    393, Loss  0.600302, Average Loss  0.605698, Time  0.235972
2021-09-15 22:06:31.147563 : Epoch  5, Batch    394, Loss  0.602980, Average Loss  0.605655, Time  0.236949
2021-09-15 22:06:32.684407 : Epoch  5, Batch    395, Loss  0.613121, Average Loss  0.605743, Time  0.237326
2021-09-15 22:06:34.209410 : Epoch  5, Batch    396, Loss  0.619306, Average Loss  0.605802, Time  0.236242
2021-09-15 22:06:35.734721 : Epoch  5, Batch    397, Loss  0.601900, Average Loss  0.605818, Time  0.238873
2021-09-15 22:06:37.282847 : Epoch  5, Batch    398, Loss  0.608129, Average Loss  0.605867, Time  0.237490
2021-09-15 22:06:38.824421 : Epoch  5, Batch    399, Loss  0.606172, Average Loss  0.605893, Time  0.237407
2021-09-15 22:06:40.343459 : Epoch  5, Batch    400, Loss  0.599390, Average Loss  0.605874, Time  0.241798
2021-09-15 22:06:41.864689 : Epoch  5, Batch    401, Loss  0.593921, Average Loss  0.605874, Time  0.237648
2021-09-15 22:06:43.382584 : Epoch  5, Batch    402, Loss  0.615068, Average Loss  0.605917, Time  0.237040
2021-09-15 22:06:44.906137 : Epoch  5, Batch    403, Loss  0.601736, Average Loss  0.605951, Time  0.235954
2021-09-15 22:06:46.420676 : Epoch  5, Batch    404, Loss  0.601538, Average Loss  0.605921, Time  0.235708
2021-09-15 22:06:47.939884 : Epoch  5, Batch    405, Loss  0.599744, Average Loss  0.605871, Time  0.236110
2021-09-15 22:06:49.447405 : Epoch  5, Batch    406, Loss  0.595206, Average Loss  0.605830, Time  0.235432
2021-09-15 22:06:50.969388 : Epoch  5, Batch    407, Loss  0.601520, Average Loss  0.605799, Time  0.235729
2021-09-15 22:06:52.484227 : Epoch  5, Batch    408, Loss  0.610909, Average Loss  0.605839, Time  0.236768
2021-09-15 22:06:53.991535 : Epoch  5, Batch    409, Loss  0.613778, Average Loss  0.605877, Time  0.236428
2021-09-15 22:06:55.504383 : Epoch  5, Batch    410, Loss  0.604217, Average Loss  0.605876, Time  0.235488
2021-09-15 22:06:57.024106 : Epoch  5, Batch    411, Loss  0.614654, Average Loss  0.605928, Time  0.235932
2021-09-15 22:06:58.528087 : Epoch  5, Batch    412, Loss  0.609858, Average Loss  0.605951, Time  0.236845
2021-09-15 22:07:00.046406 : Epoch  5, Batch    413, Loss  0.613961, Average Loss  0.605954, Time  0.237006
2021-09-15 22:07:01.547920 : Epoch  5, Batch    414, Loss  0.612839, Average Loss  0.605987, Time  0.235777
2021-09-15 22:07:03.062599 : Epoch  5, Batch    415, Loss  0.611232, Average Loss  0.605993, Time  0.236008
2021-09-15 22:07:04.567701 : Epoch  5, Batch    416, Loss  0.603066, Average Loss  0.606021, Time  0.236830
2021-09-15 22:07:06.076432 : Epoch  5, Batch    417, Loss  0.608031, Average Loss  0.606044, Time  0.237002
2021-09-15 22:07:07.583386 : Epoch  5, Batch    418, Loss  0.603097, Average Loss  0.606019, Time  0.236773
2021-09-15 22:07:09.131680 : Epoch  5, Batch    419, Loss  0.609101, Average Loss  0.606027, Time  0.240159
2021-09-15 22:07:10.646876 : Epoch  5, Batch    420, Loss  0.609821, Average Loss  0.606093, Time  0.236672
2021-09-15 22:07:12.160993 : Epoch  5, Batch    421, Loss  0.609089, Average Loss  0.606173, Time  0.235812
2021-09-15 22:07:13.676667 : Epoch  5, Batch    422, Loss  0.591458, Average Loss  0.606088, Time  0.235728
2021-09-15 22:07:17.523873 : Epoch  5, Batch    423, Loss  0.616129, Average Loss  0.606047, Time  0.254024
2021-09-15 22:07:19.034296 : Epoch  5, Batch    424, Loss  0.614771, Average Loss  0.606077, Time  0.235700
2021-09-15 22:07:20.556110 : Epoch  5, Batch    425, Loss  0.610010, Average Loss  0.606142, Time  0.242782
2021-09-15 22:07:22.094418 : Epoch  5, Batch    426, Loss  0.610167, Average Loss  0.606209, Time  0.236770
2021-09-15 22:07:23.630045 : Epoch  5, Batch    427, Loss  0.598522, Average Loss  0.606187, Time  0.236437
2021-09-15 22:07:25.145185 : Epoch  5, Batch    428, Loss  0.590515, Average Loss  0.606137, Time  0.236387
2021-09-15 22:07:26.658932 : Epoch  5, Batch    429, Loss  0.609841, Average Loss  0.606155, Time  0.237174
2021-09-15 22:07:28.168263 : Epoch  5, Batch    430, Loss  0.614639, Average Loss  0.606210, Time  0.238443
2021-09-15 22:07:29.685103 : Epoch  5, Batch    431, Loss  0.610287, Average Loss  0.606190, Time  0.235825
2021-09-15 22:07:31.198993 : Epoch  5, Batch    432, Loss  0.593604, Average Loss  0.606087, Time  0.236005
2021-09-15 22:07:32.712004 : Epoch  5, Batch    433, Loss  0.604723, Average Loss  0.606147, Time  0.235942
2021-09-15 22:07:34.220589 : Epoch  5, Batch    434, Loss  0.604671, Average Loss  0.606070, Time  0.236378
2021-09-15 22:07:35.738430 : Epoch  5, Batch    435, Loss  0.597463, Average Loss  0.606045, Time  0.236175
2021-09-15 22:07:37.248208 : Epoch  5, Batch    436, Loss  0.611858, Average Loss  0.606125, Time  0.237018
2021-09-15 22:07:38.755457 : Epoch  5, Batch    437, Loss  0.596975, Average Loss  0.606080, Time  0.235936
2021-09-15 22:07:40.268042 : Epoch  5, Batch    438, Loss  0.612319, Average Loss  0.606141, Time  0.237661
2021-09-15 22:07:41.776018 : Epoch  5, Batch    439, Loss  0.606714, Average Loss  0.606139, Time  0.236112
2021-09-15 22:07:43.290277 : Epoch  5, Batch    440, Loss  0.598084, Average Loss  0.606107, Time  0.236003
2021-09-15 22:07:44.798474 : Epoch  5, Batch    441, Loss  0.596601, Average Loss  0.606100, Time  0.237468
2021-09-15 22:07:46.312451 : Epoch  5, Batch    442, Loss  0.598998, Average Loss  0.606047, Time  0.239895
2021-09-15 22:07:47.823499 : Epoch  5, Batch    443, Loss  0.611387, Average Loss  0.606058, Time  0.235852
2021-09-15 22:07:49.342814 : Epoch  5, Batch    444, Loss  0.610137, Average Loss  0.606020, Time  0.236039
2021-09-15 22:07:50.865911 : Epoch  5, Batch    445, Loss  0.601114, Average Loss  0.606023, Time  0.243932
2021-09-15 22:07:52.374430 : Epoch  5, Batch    446, Loss  0.610759, Average Loss  0.606054, Time  0.236743
2021-09-15 22:07:53.884260 : Epoch  5, Batch    447, Loss  0.596110, Average Loss  0.606017, Time  0.239556
2021-09-15 22:07:55.423895 : Epoch  5, Batch    448, Loss  0.606903, Average Loss  0.606030, Time  0.236401
2021-09-15 22:07:56.939760 : Epoch  5, Batch    449, Loss  0.611933, Average Loss  0.606033, Time  0.236862
2021-09-15 22:07:58.451846 : Epoch  5, Batch    450, Loss  0.611348, Average Loss  0.606067, Time  0.236001
2021-09-15 22:07:59.966227 : Epoch  5, Batch    451, Loss  0.599815, Average Loss  0.606039, Time  0.235852
2021-09-15 22:08:01.485448 : Epoch  5, Batch    452, Loss  0.600034, Average Loss  0.606030, Time  0.235731
2021-09-15 22:08:58.218916 : CheckPoint: Validation Loss  0.00024241, Best Loss  0.00024241
2021-09-15 22:08:58.261568 : Best Model Updated
2021-09-15 22:09:00.575018 : Epoch  5, Batch    453, Loss  0.622327, Average Loss  0.606135, Time  0.240019
2021-09-15 22:09:02.110198 : Epoch  5, Batch    454, Loss  0.605601, Average Loss  0.606142, Time  0.237730
2021-09-15 22:09:03.634942 : Epoch  5, Batch    455, Loss  0.608903, Average Loss  0.606179, Time  0.236533
2021-09-15 22:09:05.166562 : Epoch  5, Batch    456, Loss  0.594151, Average Loss  0.606104, Time  0.236071
2021-09-15 22:09:06.691988 : Epoch  5, Batch    457, Loss  0.599387, Average Loss  0.606020, Time  0.235910
2021-09-15 22:09:08.206505 : Epoch  5, Batch    458, Loss  0.612289, Average Loss  0.606126, Time  0.236544
2021-09-15 22:09:09.721877 : Epoch  5, Batch    459, Loss  0.606596, Average Loss  0.606118, Time  0.236599
2021-09-15 22:09:11.239551 : Epoch  5, Batch    460, Loss  0.616113, Average Loss  0.606162, Time  0.235666
2021-09-15 22:09:12.775816 : Epoch  5, Batch    461, Loss  0.602029, Average Loss  0.606178, Time  0.236525
2021-09-15 22:09:14.323921 : Epoch  5, Batch    462, Loss  0.615865, Average Loss  0.606157, Time  0.236258
2021-09-15 22:09:15.857190 : Epoch  5, Batch    463, Loss  0.602331, Average Loss  0.606176, Time  0.238936
2021-09-15 22:09:17.378164 : Epoch  5, Batch    464, Loss  0.596927, Average Loss  0.606011, Time  0.235967
2021-09-15 22:09:18.900986 : Epoch  5, Batch    465, Loss  0.608545, Average Loss  0.606000, Time  0.235890
2021-09-15 22:09:20.427645 : Epoch  5, Batch    466, Loss  0.609206, Average Loss  0.606062, Time  0.236042
2021-09-15 22:09:21.951991 : Epoch  5, Batch    467, Loss  0.609905, Average Loss  0.606062, Time  0.235971
2021-09-15 22:09:23.479479 : Epoch  5, Batch    468, Loss  0.605327, Average Loss  0.606050, Time  0.236815
2021-09-15 22:09:25.005931 : Epoch  5, Batch    469, Loss  0.597701, Average Loss  0.606062, Time  0.238154
2021-09-15 22:09:26.526740 : Epoch  5, Batch    470, Loss  0.591772, Average Loss  0.605974, Time  0.236540
2021-09-15 22:09:28.057098 : Epoch  5, Batch    471, Loss  0.605172, Average Loss  0.605953, Time  0.236188
2021-09-15 22:09:29.570967 : Epoch  5, Batch    472, Loss  0.614745, Average Loss  0.606021, Time  0.237935
2021-09-15 22:09:31.084562 : Epoch  5, Batch    473, Loss  0.604177, Average Loss  0.606005, Time  0.235865
2021-09-15 22:09:32.623531 : Epoch  5, Batch    474, Loss  0.595179, Average Loss  0.605986, Time  0.236299
2021-09-15 22:09:33.464790 : CheckPoint: Validation Loss  0.00030230, Best Loss  0.00029429
2021-09-15 22:09:34.148053 : Epoch  5, Batch    475, Loss  0.597556, Average Loss  0.605953, Time  0.236734
2021-09-15 22:09:35.678545 : Epoch  5, Batch    476, Loss  0.608357, Average Loss  0.606013, Time  0.235878
2021-09-15 22:09:36.537107 : Epoch  3, Batch    489, Loss  0.868736, Average Loss  0.870053, Time  0.267983
2021-09-15 22:09:37.223914 : Epoch  5, Batch    477, Loss  0.614596, Average Loss  0.606055, Time  0.236659
2021-09-15 22:09:38.757234 : Epoch  5, Batch    478, Loss  0.603219, Average Loss  0.606075, Time  0.235967
2021-09-15 22:09:39.616255 : Epoch  3, Batch    490, Loss  0.869426, Average Loss  0.870044, Time  0.265731
2021-09-15 22:09:40.274738 : Epoch  5, Batch    479, Loss  0.603526, Average Loss  0.606128, Time  0.236283
2021-09-15 22:09:41.798426 : Epoch  5, Batch    480, Loss  0.611727, Average Loss  0.606133, Time  0.237771
2021-09-15 22:09:42.698420 : Epoch  3, Batch    491, Loss  0.876702, Average Loss  0.870080, Time  0.268467
2021-09-15 22:09:43.354044 : Epoch  5, Batch    481, Loss  0.595968, Average Loss  0.606035, Time  0.237115
2021-09-15 22:09:46.899162 : Epoch  5, Batch    482, Loss  0.607890, Average Loss  0.606073, Time  0.270201
2021-09-15 22:09:48.346061 : Epoch  3, Batch    492, Loss  0.879320, Average Loss  0.870156, Time  0.265297
2021-09-15 22:09:48.478789 : Epoch  5, Batch    483, Loss  0.602947, Average Loss  0.606079, Time  0.243372
2021-09-15 22:09:49.998221 : Epoch  5, Batch    484, Loss  0.612458, Average Loss  0.606112, Time  0.236609
2021-09-15 22:09:51.420898 : Epoch  3, Batch    493, Loss  0.875424, Average Loss  0.870248, Time  0.264800
2021-09-15 22:09:51.548157 : Epoch  5, Batch    485, Loss  0.606500, Average Loss  0.606142, Time  0.236138
2021-09-15 22:09:53.065381 : Epoch  5, Batch    486, Loss  0.597342, Average Loss  0.606081, Time  0.236740
2021-09-15 22:09:54.489002 : Epoch  3, Batch    494, Loss  0.888667, Average Loss  0.870412, Time  0.265985
2021-09-15 22:09:54.629513 : Epoch  5, Batch    487, Loss  0.608300, Average Loss  0.606096, Time  0.236639
2021-09-15 22:09:56.163111 : Epoch  5, Batch    488, Loss  0.599234, Average Loss  0.605984, Time  0.236887
2021-09-15 22:09:57.550699 : Epoch  3, Batch    495, Loss  0.858931, Average Loss  0.870399, Time  0.265503
2021-09-15 22:09:57.705255 : Epoch  5, Batch    489, Loss  0.607175, Average Loss  0.605932, Time  0.235849
2021-09-15 22:09:59.234415 : Epoch  5, Batch    490, Loss  0.601959, Average Loss  0.605902, Time  0.237289
2021-09-15 22:10:00.616460 : Epoch  3, Batch    496, Loss  0.892125, Average Loss  0.870489, Time  0.265558
2021-09-15 22:10:00.757085 : Epoch  5, Batch    491, Loss  0.604546, Average Loss  0.605896, Time  0.235698
2021-09-15 22:10:02.276430 : Epoch  5, Batch    492, Loss  0.610695, Average Loss  0.605845, Time  0.237181
2021-09-15 22:10:03.685206 : Epoch  3, Batch    497, Loss  0.869768, Average Loss  0.870592, Time  0.265257
2021-09-15 22:10:03.797010 : Epoch  5, Batch    493, Loss  0.599190, Average Loss  0.605765, Time  0.235848
2021-09-15 22:10:05.317878 : Epoch  5, Batch    494, Loss  0.620414, Average Loss  0.605819, Time  0.236135
2021-09-15 22:10:06.749203 : Epoch  3, Batch    498, Loss  0.865825, Average Loss  0.870462, Time  0.265203
2021-09-15 22:10:06.840928 : Epoch  5, Batch    495, Loss  0.606516, Average Loss  0.605792, Time  0.236158
2021-09-15 22:10:08.349129 : Epoch  5, Batch    496, Loss  0.618886, Average Loss  0.605879, Time  0.236598
2021-09-15 22:10:09.829825 : Epoch  3, Batch    499, Loss  0.859312, Average Loss  0.870463, Time  0.265692
2021-09-15 22:10:09.865595 : Epoch  5, Batch    497, Loss  0.607870, Average Loss  0.605903, Time  0.235911
2021-09-15 22:10:11.381178 : Epoch  5, Batch    498, Loss  0.599102, Average Loss  0.605816, Time  0.236144
2021-09-15 22:10:12.910535 : Epoch  5, Batch    499, Loss  0.615854, Average Loss  0.605916, Time  0.236885
2021-09-15 22:10:12.929377 : Epoch  3, Batch    500, Loss  0.875805, Average Loss  0.870443, Time  0.267097
2021-09-15 22:10:14.431685 : Epoch  5, Batch    500, Loss  0.617355, Average Loss  0.606005, Time  0.235904
2021-09-15 22:10:15.953035 : Epoch  5, Batch    501, Loss  0.606695, Average Loss  0.605951, Time  0.235710
2021-09-15 22:10:16.010571 : Epoch  3, Batch    501, Loss  0.863687, Average Loss  0.870319, Time  0.265764
2021-09-15 22:10:17.481643 : Epoch  5, Batch    502, Loss  0.602158, Average Loss  0.605921, Time  0.236002
2021-09-15 22:10:19.006402 : Epoch  5, Batch    503, Loss  0.607164, Average Loss  0.605956, Time  0.236505
2021-09-15 22:10:19.092275 : Epoch  3, Batch    502, Loss  0.875841, Average Loss  0.870421, Time  0.274806
2021-09-15 22:10:20.526705 : Epoch  5, Batch    504, Loss  0.609868, Average Loss  0.605991, Time  0.236863
2021-09-15 22:10:22.048548 : Epoch  5, Batch    505, Loss  0.602608, Average Loss  0.605987, Time  0.236468
2021-09-15 22:10:22.159121 : Epoch  3, Batch    503, Loss  0.885115, Average Loss  0.870480, Time  0.266451
2021-09-15 22:10:23.571422 : Epoch  5, Batch    506, Loss  0.605412, Average Loss  0.605976, Time  0.235719
2021-09-15 22:10:25.106043 : Epoch  5, Batch    507, Loss  0.600140, Average Loss  0.605984, Time  0.236700
2021-09-15 22:10:25.227038 : Epoch  3, Batch    504, Loss  0.872327, Average Loss  0.870493, Time  0.265295
2021-09-15 22:10:26.631228 : Epoch  5, Batch    508, Loss  0.609408, Average Loss  0.605993, Time  0.237404
2021-09-15 22:10:28.181483 : Epoch  5, Batch    509, Loss  0.617788, Average Loss  0.606060, Time  0.236508
2021-09-15 22:10:28.291480 : Epoch  3, Batch    505, Loss  0.891878, Average Loss  0.870522, Time  0.268093
2021-09-15 22:10:29.716750 : Epoch  5, Batch    510, Loss  0.610935, Average Loss  0.606040, Time  0.237443
2021-09-15 22:10:31.240146 : Epoch  5, Batch    511, Loss  0.604246, Average Loss  0.606113, Time  0.236568
2021-09-15 22:10:31.350893 : Epoch  3, Batch    506, Loss  0.878420, Average Loss  0.870466, Time  0.266138
2021-09-15 22:10:32.761405 : Epoch  5, Batch    512, Loss  0.617960, Average Loss  0.606171, Time  0.236661
2021-09-15 22:10:34.277517 : Epoch  5, Batch    513, Loss  0.601824, Average Loss  0.606151, Time  0.235408
2021-09-15 22:10:34.422916 : Epoch  3, Batch    507, Loss  0.874234, Average Loss  0.870440, Time  0.265553
2021-09-15 22:10:35.805236 : Epoch  5, Batch    514, Loss  0.599444, Average Loss  0.606092, Time  0.239069
2021-09-15 22:10:37.341073 : Epoch  5, Batch    515, Loss  0.596951, Average Loss  0.606053, Time  0.237459
2021-09-15 22:10:37.486183 : Epoch  3, Batch    508, Loss  0.887053, Average Loss  0.870449, Time  0.265429
2021-09-15 22:10:38.852377 : Epoch  5, Batch    516, Loss  0.603303, Average Loss  0.606065, Time  0.235404
2021-09-15 22:10:40.383435 : Epoch  5, Batch    517, Loss  0.605384, Average Loss  0.606028, Time  0.235956
2021-09-15 22:10:40.558640 : Epoch  3, Batch    509, Loss  0.872439, Average Loss  0.870405, Time  0.265603
2021-09-15 22:10:41.909071 : Epoch  5, Batch    518, Loss  0.604849, Average Loss  0.605986, Time  0.235845
2021-09-15 22:10:43.426830 : Epoch  5, Batch    519, Loss  0.604583, Average Loss  0.605901, Time  0.235931
2021-09-15 22:10:43.622768 : Epoch  3, Batch    510, Loss  0.861134, Average Loss  0.870378, Time  0.265590
2021-09-15 22:10:44.940682 : Epoch  5, Batch    520, Loss  0.609348, Average Loss  0.605927, Time  0.236541
2021-09-15 22:10:46.456158 : Epoch  5, Batch    521, Loss  0.604886, Average Loss  0.605904, Time  0.235793
2021-09-15 22:10:46.691254 : Epoch  3, Batch    511, Loss  0.880694, Average Loss  0.870419, Time  0.267148
2021-09-15 22:10:47.971632 : Epoch  5, Batch    522, Loss  0.607462, Average Loss  0.605919, Time  0.235824
2021-09-15 22:10:49.746010 : Epoch  3, Batch    512, Loss  0.887803, Average Loss  0.870555, Time  0.265195
2021-09-15 22:10:51.864437 : Epoch  5, Batch    523, Loss  0.597777, Average Loss  0.605908, Time  0.269214
2021-09-15 22:10:52.812702 : Epoch  3, Batch    513, Loss  0.884248, Average Loss  0.870602, Time  0.264822
2021-09-15 22:10:53.381263 : Epoch  5, Batch    524, Loss  0.621140, Average Loss  0.605954, Time  0.239916
2021-09-15 22:10:53.522955 : Epoch  5, Batch    525, Loss  0.506381, Average Loss  0.605462, Time  0.092553
2021-09-15 22:10:55.029756 : Epoch  5, Batch    526, Loss  0.597230, Average Loss  0.605487, Time  0.235756
2021-09-15 22:10:55.886171 : Epoch  3, Batch    514, Loss  0.856739, Average Loss  0.870532, Time  0.264895
2021-09-15 22:10:56.536097 : Epoch  5, Batch    527, Loss  0.607279, Average Loss  0.605428, Time  0.235821
2021-09-15 22:10:58.045039 : Epoch  5, Batch    528, Loss  0.603203, Average Loss  0.605419, Time  0.235730
2021-09-15 22:10:58.955908 : Epoch  3, Batch    515, Loss  0.853223, Average Loss  0.870394, Time  0.265883
2021-09-15 22:10:59.556953 : Epoch  5, Batch    529, Loss  0.613857, Average Loss  0.605439, Time  0.235968
2021-09-15 22:11:01.070513 : Epoch  5, Batch    530, Loss  0.613502, Average Loss  0.605508, Time  0.235543
2021-09-15 22:11:02.013464 : Epoch  3, Batch    516, Loss  0.845249, Average Loss  0.870228, Time  0.265353
2021-09-15 22:11:02.587072 : Epoch  5, Batch    531, Loss  0.612273, Average Loss  0.605550, Time  0.235929
2021-09-15 22:11:04.104002 : Epoch  5, Batch    532, Loss  0.615931, Average Loss  0.605586, Time  0.235867
2021-09-15 22:11:05.089440 : Epoch  3, Batch    517, Loss  0.843588, Average Loss  0.870098, Time  0.275807
2021-09-15 22:11:05.617141 : Epoch  5, Batch    533, Loss  0.600724, Average Loss  0.605577, Time  0.235861
2021-09-15 22:11:07.133676 : Epoch  5, Batch    534, Loss  0.606982, Average Loss  0.605504, Time  0.237064
2021-09-15 22:11:08.150875 : Epoch  3, Batch    518, Loss  0.861553, Average Loss  0.870142, Time  0.265328
2021-09-15 22:11:08.650460 : Epoch  5, Batch    535, Loss  0.599125, Average Loss  0.605445, Time  0.237317
2021-09-15 22:11:10.155163 : Epoch  5, Batch    536, Loss  0.611805, Average Loss  0.605469, Time  0.235601
2021-09-15 22:11:11.223808 : Epoch  3, Batch    519, Loss  0.870743, Average Loss  0.870189, Time  0.265443
2021-09-15 22:11:11.667434 : Epoch  5, Batch    537, Loss  0.605316, Average Loss  0.605515, Time  0.235749
2021-09-15 22:11:13.165660 : Epoch  5, Batch    538, Loss  0.605229, Average Loss  0.605590, Time  0.236849
2021-09-15 22:11:14.306464 : Epoch  3, Batch    520, Loss  0.868347, Average Loss  0.870243, Time  0.266881
2021-09-15 22:11:14.681853 : Epoch  5, Batch    539, Loss  0.612095, Average Loss  0.605568, Time  0.236358
2021-09-15 22:11:16.181510 : Epoch  5, Batch    540, Loss  0.602029, Average Loss  0.605490, Time  0.235968
2021-09-15 22:11:17.366218 : Epoch  3, Batch    521, Loss  0.894039, Average Loss  0.870325, Time  0.265233
2021-09-15 22:11:17.696938 : Epoch  5, Batch    541, Loss  0.615190, Average Loss  0.605479, Time  0.235884
2021-09-15 22:11:19.197467 : Epoch  5, Batch    542, Loss  0.607884, Average Loss  0.605519, Time  0.236446
2021-09-15 22:11:20.436060 : Epoch  3, Batch    522, Loss  0.876141, Average Loss  0.870446, Time  0.266902
2021-09-15 22:11:20.711447 : Epoch  5, Batch    543, Loss  0.599116, Average Loss  0.605503, Time  0.236832
2021-09-15 22:11:22.205112 : Epoch  5, Batch    544, Loss  0.590739, Average Loss  0.605432, Time  0.237258
2021-09-15 22:11:23.506120 : Epoch  3, Batch    523, Loss  0.854340, Average Loss  0.870275, Time  0.270783
2021-09-15 22:11:23.727069 : Epoch  5, Batch    545, Loss  0.608252, Average Loss  0.605455, Time  0.238502
2021-09-15 22:11:25.232509 : Epoch  5, Batch    546, Loss  0.602335, Average Loss  0.605390, Time  0.235678
2021-09-15 22:11:26.573887 : Epoch  3, Batch    524, Loss  0.875812, Average Loss  0.870315, Time  0.265318
2021-09-15 22:11:26.754386 : Epoch  5, Batch    547, Loss  0.611128, Average Loss  0.605376, Time  0.238003
2021-09-15 22:11:28.263427 : Epoch  5, Batch    548, Loss  0.591784, Average Loss  0.605346, Time  0.235814
2021-09-15 22:11:29.637379 : Epoch  3, Batch    525, Loss  0.890619, Average Loss  0.870531, Time  0.265720
2021-09-15 22:11:29.777913 : Epoch  5, Batch    549, Loss  0.587418, Average Loss  0.605284, Time  0.235886
2021-09-15 22:11:31.274892 : Epoch  5, Batch    550, Loss  0.607000, Average Loss  0.605267, Time  0.235581
2021-09-15 22:11:32.694994 : Epoch  3, Batch    526, Loss  0.859540, Average Loss  0.870380, Time  0.265563
2021-09-15 22:11:32.784099 : Epoch  5, Batch    551, Loss  0.609726, Average Loss  0.605292, Time  0.235892
2021-09-15 22:11:34.278136 : Epoch  5, Batch    552, Loss  0.608016, Average Loss  0.605307, Time  0.235474
2021-09-15 22:11:35.762203 : Epoch  3, Batch    527, Loss  0.870545, Average Loss  0.870371, Time  0.266216
2021-09-15 22:11:38.828507 : Epoch  3, Batch    528, Loss  0.858416, Average Loss  0.870288, Time  0.265417
2021-09-15 22:11:41.893672 : Epoch  3, Batch    529, Loss  0.880806, Average Loss  0.870299, Time  0.265804
2021-09-15 22:11:44.955844 : Epoch  3, Batch    530, Loss  0.855284, Average Loss  0.870198, Time  0.265356
2021-09-15 22:11:48.013219 : Epoch  3, Batch    531, Loss  0.870380, Average Loss  0.870135, Time  0.265127
2021-09-15 22:11:51.083909 : Epoch  3, Batch    532, Loss  0.857901, Average Loss  0.870036, Time  0.278250
2021-09-15 22:11:54.142165 : Epoch  3, Batch    533, Loss  0.886103, Average Loss  0.870105, Time  0.266160
2021-09-15 22:11:57.209733 : Epoch  3, Batch    534, Loss  0.873569, Average Loss  0.870098, Time  0.265576
2021-09-15 22:12:00.273165 : Epoch  3, Batch    535, Loss  0.879486, Average Loss  0.870042, Time  0.265545
2021-09-15 22:12:03.341789 : Epoch  3, Batch    536, Loss  0.869212, Average Loss  0.870064, Time  0.265947
2021-09-15 22:12:06.407142 : Epoch  3, Batch    537, Loss  0.869331, Average Loss  0.870055, Time  0.265845
2021-09-15 22:12:09.512224 : Epoch  3, Batch    538, Loss  0.859565, Average Loss  0.869921, Time  0.265499
2021-09-15 22:12:12.583558 : Epoch  3, Batch    539, Loss  0.866993, Average Loss  0.869976, Time  0.266649
2021-09-15 22:12:15.648270 : Epoch  3, Batch    540, Loss  0.868265, Average Loss  0.870016, Time  0.266826
2021-09-15 22:12:18.706347 : Epoch  3, Batch    541, Loss  0.880714, Average Loss  0.870129, Time  0.265367
2021-09-15 22:12:21.774534 : Epoch  3, Batch    542, Loss  0.863803, Average Loss  0.870138, Time  0.266373
2021-09-15 22:12:24.845717 : Epoch  3, Batch    543, Loss  0.872826, Average Loss  0.870179, Time  0.265620
2021-09-15 22:12:27.920515 : Epoch  3, Batch    544, Loss  0.860922, Average Loss  0.870060, Time  0.265921
2021-09-15 22:12:30.941039 : CheckPoint: Validation Loss  0.00025132, Best Loss  0.00024241
2021-09-15 22:12:30.991216 : Epoch  3, Batch    545, Loss  0.867606, Average Loss  0.869978, Time  0.265759
2021-09-15 22:12:32.460948 : Epoch  5, Batch    553, Loss  0.608875, Average Loss  0.605317, Time  0.236395
2021-09-15 22:12:33.981042 : Epoch  5, Batch    554, Loss  0.596388, Average Loss  0.605287, Time  0.236676
2021-09-15 22:12:34.057750 : Epoch  3, Batch    546, Loss  0.868143, Average Loss  0.869979, Time  0.265350
2021-09-15 22:12:35.508073 : Epoch  5, Batch    555, Loss  0.613496, Average Loss  0.605280, Time  0.237530
2021-09-15 22:12:37.021324 : Epoch  5, Batch    556, Loss  0.603540, Average Loss  0.605270, Time  0.236063
2021-09-15 22:12:37.133979 : Epoch  3, Batch    547, Loss  0.882502, Average Loss  0.869985, Time  0.273897
2021-09-15 22:12:38.539375 : Epoch  5, Batch    557, Loss  0.613920, Average Loss  0.605357, Time  0.235486
2021-09-15 22:12:40.051244 : Epoch  5, Batch    558, Loss  0.593456, Average Loss  0.605254, Time  0.235938
2021-09-15 22:12:40.194924 : Epoch  3, Batch    548, Loss  0.884707, Average Loss  0.870059, Time  0.266124
2021-09-15 22:12:41.594442 : Epoch  5, Batch    559, Loss  0.599417, Average Loss  0.605174, Time  0.239110
2021-09-15 22:12:43.114580 : Epoch  5, Batch    560, Loss  0.586507, Average Loss  0.605083, Time  0.235694
2021-09-15 22:12:43.253301 : Epoch  3, Batch    549, Loss  0.866300, Average Loss  0.870060, Time  0.265999
2021-09-15 22:12:44.636981 : Epoch  5, Batch    561, Loss  0.608405, Average Loss  0.605168, Time  0.236637
2021-09-15 22:12:46.155119 : Epoch  5, Batch    562, Loss  0.599132, Average Loss  0.605109, Time  0.236356
2021-09-15 22:12:46.312490 : Epoch  3, Batch    550, Loss  0.877586, Average Loss  0.870134, Time  0.265434
2021-09-15 22:12:47.677296 : Epoch  5, Batch    563, Loss  0.601810, Average Loss  0.605113, Time  0.237366
2021-09-15 22:12:49.194405 : Epoch  5, Batch    564, Loss  0.598455, Average Loss  0.605081, Time  0.236505
2021-09-15 22:12:49.379905 : Epoch  3, Batch    551, Loss  0.883780, Average Loss  0.870078, Time  0.266093
2021-09-15 22:12:50.720424 : Epoch  5, Batch    565, Loss  0.604778, Average Loss  0.605031, Time  0.236943
2021-09-15 22:12:52.237941 : Epoch  5, Batch    566, Loss  0.603369, Average Loss  0.605115, Time  0.236163
2021-09-15 22:12:52.455072 : Epoch  3, Batch    552, Loss  0.875753, Average Loss  0.870042, Time  0.266505
2021-09-15 22:12:53.748068 : Epoch  5, Batch    567, Loss  0.596364, Average Loss  0.605106, Time  0.236738
2021-09-15 22:12:55.265353 : Epoch  5, Batch    568, Loss  0.613361, Average Loss  0.605203, Time  0.237011
2021-09-15 22:12:55.513940 : Epoch  3, Batch    553, Loss  0.856980, Average Loss  0.870035, Time  0.265679
2021-09-15 22:12:56.777110 : Epoch  5, Batch    569, Loss  0.597670, Average Loss  0.605175, Time  0.236238
2021-09-15 22:12:58.288114 : Epoch  5, Batch    570, Loss  0.605156, Average Loss  0.605190, Time  0.236891
2021-09-15 22:12:58.578891 : Epoch  3, Batch    554, Loss  0.856289, Average Loss  0.869804, Time  0.265568
2021-09-15 22:12:59.801626 : Epoch  5, Batch    571, Loss  0.602176, Average Loss  0.605200, Time  0.235795
2021-09-15 22:13:01.324320 : Epoch  5, Batch    572, Loss  0.609101, Average Loss  0.605186, Time  0.237552
2021-09-15 22:13:01.639807 : Epoch  3, Batch    555, Loss  0.854371, Average Loss  0.869838, Time  0.265334
2021-09-15 22:13:02.840624 : Epoch  5, Batch    573, Loss  0.605507, Average Loss  0.605195, Time  0.236276
2021-09-15 22:13:04.361990 : Epoch  5, Batch    574, Loss  0.597635, Average Loss  0.605163, Time  0.236951
2021-09-15 22:13:04.702473 : Epoch  3, Batch    556, Loss  0.864693, Average Loss  0.869864, Time  0.265923
2021-09-15 22:13:05.881025 : Epoch  5, Batch    575, Loss  0.607964, Average Loss  0.605179, Time  0.236064
2021-09-15 22:13:07.398203 : Epoch  5, Batch    576, Loss  0.591546, Average Loss  0.605144, Time  0.239146
2021-09-15 22:13:07.762222 : Epoch  3, Batch    557, Loss  0.886314, Average Loss  0.869923, Time  0.265238
2021-09-15 22:13:08.913808 : Epoch  5, Batch    577, Loss  0.606818, Average Loss  0.605128, Time  0.236662
2021-09-15 22:13:10.431904 : Epoch  5, Batch    578, Loss  0.597062, Average Loss  0.605080, Time  0.237909
2021-09-15 22:13:10.840879 : Epoch  3, Batch    558, Loss  0.875603, Average Loss  0.869979, Time  0.265562
2021-09-15 22:13:11.945406 : Epoch  5, Batch    579, Loss  0.605544, Average Loss  0.605046, Time  0.235968
2021-09-15 22:13:13.455528 : Epoch  5, Batch    580, Loss  0.606357, Average Loss  0.605003, Time  0.235812
2021-09-15 22:13:13.900832 : Epoch  3, Batch    559, Loss  0.858879, Average Loss  0.869920, Time  0.266393
2021-09-15 22:13:14.975139 : Epoch  5, Batch    581, Loss  0.608403, Average Loss  0.604985, Time  0.236873
2021-09-15 22:13:16.494518 : Epoch  5, Batch    582, Loss  0.616704, Average Loss  0.605045, Time  0.235831
2021-09-15 22:13:16.964387 : Epoch  3, Batch    560, Loss  0.879534, Average Loss  0.869986, Time  0.266962
2021-09-15 22:13:18.011392 : Epoch  5, Batch    583, Loss  0.603961, Average Loss  0.605030, Time  0.235590
2021-09-15 22:13:19.531606 : Epoch  5, Batch    584, Loss  0.604162, Average Loss  0.604997, Time  0.235894
2021-09-15 22:13:20.032439 : Epoch  3, Batch    561, Loss  0.885039, Average Loss  0.870045, Time  0.267258
2021-09-15 22:13:21.052382 : Epoch  5, Batch    585, Loss  0.606406, Average Loss  0.605017, Time  0.236189
2021-09-15 22:13:22.572334 : Epoch  5, Batch    586, Loss  0.590884, Average Loss  0.604926, Time  0.237885
2021-09-15 22:13:23.099796 : Epoch  3, Batch    562, Loss  0.888230, Average Loss  0.870087, Time  0.273721
2021-09-15 22:13:24.078314 : Epoch  5, Batch    587, Loss  0.604386, Average Loss  0.604948, Time  0.236607
2021-09-15 22:13:25.585057 : Epoch  5, Batch    588, Loss  0.602171, Average Loss  0.604862, Time  0.236218
2021-09-15 22:13:26.167855 : Epoch  3, Batch    563, Loss  0.882920, Average Loss  0.870197, Time  0.265507
2021-09-15 22:13:27.097296 : Epoch  5, Batch    589, Loss  0.607109, Average Loss  0.604844, Time  0.237259
2021-09-15 22:13:28.612286 : Epoch  5, Batch    590, Loss  0.598432, Average Loss  0.604835, Time  0.236114
2021-09-15 22:13:29.243918 : Epoch  3, Batch    564, Loss  0.877023, Average Loss  0.870131, Time  0.265352
2021-09-15 22:13:30.131055 : Epoch  5, Batch    591, Loss  0.610828, Average Loss  0.604885, Time  0.236314
2021-09-15 22:13:31.646547 : Epoch  5, Batch    592, Loss  0.611166, Average Loss  0.604931, Time  0.236581
2021-09-15 22:13:32.306865 : Epoch  3, Batch    565, Loss  0.856071, Average Loss  0.869956, Time  0.265214
2021-09-15 22:13:33.165462 : Epoch  5, Batch    593, Loss  0.606072, Average Loss  0.604960, Time  0.236352
2021-09-15 22:13:34.679195 : Epoch  5, Batch    594, Loss  0.612318, Average Loss  0.605007, Time  0.236501
2021-09-15 22:13:35.379241 : Epoch  3, Batch    566, Loss  0.872990, Average Loss  0.870036, Time  0.266433
2021-09-15 22:13:36.191996 : Epoch  5, Batch    595, Loss  0.609408, Average Loss  0.604988, Time  0.236488
2021-09-15 22:13:37.713412 : Epoch  5, Batch    596, Loss  0.606395, Average Loss  0.604924, Time  0.235976
2021-09-15 22:13:38.464966 : Epoch  3, Batch    567, Loss  0.883861, Average Loss  0.870096, Time  0.265996
2021-09-15 22:13:39.229422 : Epoch  5, Batch    597, Loss  0.607349, Average Loss  0.604951, Time  0.236203
2021-09-15 22:13:40.748090 : Epoch  5, Batch    598, Loss  0.607835, Average Loss  0.604950, Time  0.236023
2021-09-15 22:13:41.535223 : Epoch  3, Batch    568, Loss  0.880429, Average Loss  0.870104, Time  0.265757
2021-09-15 22:13:42.264860 : Epoch  5, Batch    599, Loss  0.614147, Average Loss  0.604990, Time  0.236214
2021-09-15 22:13:43.784922 : Epoch  5, Batch    600, Loss  0.603426, Average Loss  0.605010, Time  0.236985
2021-09-15 22:13:44.600150 : Epoch  3, Batch    569, Loss  0.872884, Average Loss  0.870058, Time  0.265085
2021-09-15 22:13:45.297308 : Epoch  5, Batch    601, Loss  0.594215, Average Loss  0.605011, Time  0.235843
2021-09-15 22:13:46.809854 : Epoch  5, Batch    602, Loss  0.613132, Average Loss  0.605002, Time  0.235897
2021-09-15 22:13:47.671970 : Epoch  3, Batch    570, Loss  0.899865, Average Loss  0.870251, Time  0.265455
2021-09-15 22:13:48.334411 : Epoch  5, Batch    603, Loss  0.604926, Average Loss  0.605017, Time  0.235756
2021-09-15 22:13:49.852432 : Epoch  5, Batch    604, Loss  0.609763, Average Loss  0.605059, Time  0.236831
2021-09-15 22:13:50.744774 : Epoch  3, Batch    571, Loss  0.883086, Average Loss  0.870358, Time  0.265740
2021-09-15 22:13:51.373942 : Epoch  5, Batch    605, Loss  0.606832, Average Loss  0.605094, Time  0.236266
2021-09-15 22:13:52.911944 : Epoch  5, Batch    606, Loss  0.596970, Average Loss  0.605103, Time  0.236127
2021-09-15 22:13:53.803126 : Epoch  3, Batch    572, Loss  0.861883, Average Loss  0.870267, Time  0.265424
2021-09-15 22:13:54.427479 : Epoch  5, Batch    607, Loss  0.600228, Average Loss  0.605096, Time  0.236370
2021-09-15 22:13:55.939535 : Epoch  5, Batch    608, Loss  0.599809, Average Loss  0.605041, Time  0.236371
2021-09-15 22:13:56.866646 : Epoch  3, Batch    573, Loss  0.865247, Average Loss  0.870252, Time  0.265643
2021-09-15 22:13:57.463454 : Epoch  5, Batch    609, Loss  0.613165, Average Loss  0.605038, Time  0.240189
2021-09-15 22:13:58.976942 : Epoch  5, Batch    610, Loss  0.599050, Average Loss  0.605012, Time  0.236197
2021-09-15 22:13:59.930742 : Epoch  3, Batch    574, Loss  0.880524, Average Loss  0.870257, Time  0.265139
2021-09-15 22:14:00.492782 : Epoch  5, Batch    611, Loss  0.610178, Average Loss  0.604990, Time  0.235719
2021-09-15 22:14:02.031131 : Epoch  5, Batch    612, Loss  0.611356, Average Loss  0.604997, Time  0.236443
2021-09-15 22:14:03.001448 : Epoch  3, Batch    575, Loss  0.886859, Average Loss  0.870501, Time  0.265671
2021-09-15 22:14:03.547908 : Epoch  5, Batch    613, Loss  0.614902, Average Loss  0.605002, Time  0.235805
2021-09-15 22:14:05.072386 : Epoch  5, Batch    614, Loss  0.607361, Average Loss  0.604974, Time  0.235789
2021-09-15 22:14:06.072909 : Epoch  3, Batch    576, Loss  0.859572, Average Loss  0.870491, Time  0.265449
2021-09-15 22:14:06.589877 : Epoch  5, Batch    615, Loss  0.607732, Average Loss  0.604957, Time  0.236084
2021-09-15 22:14:08.111449 : Epoch  5, Batch    616, Loss  0.601632, Average Loss  0.604950, Time  0.236262
2021-09-15 22:14:09.158894 : Epoch  3, Batch    577, Loss  0.873958, Average Loss  0.870494, Time  0.277323
2021-09-15 22:14:09.635883 : Epoch  5, Batch    617, Loss  0.598103, Average Loss  0.604900, Time  0.236783
2021-09-15 22:14:11.153418 : Epoch  5, Batch    618, Loss  0.600496, Average Loss  0.604887, Time  0.235902
2021-09-15 22:14:12.223222 : Epoch  3, Batch    578, Loss  0.858473, Average Loss  0.870442, Time  0.265480
2021-09-15 22:14:12.661121 : Epoch  5, Batch    619, Loss  0.599710, Average Loss  0.604840, Time  0.236594
2021-09-15 22:14:14.205414 : Epoch  5, Batch    620, Loss  0.612750, Average Loss  0.604855, Time  0.236722
2021-09-15 22:14:15.289186 : Epoch  3, Batch    579, Loss  0.893503, Average Loss  0.870534, Time  0.266751
2021-09-15 22:14:15.722078 : Epoch  5, Batch    621, Loss  0.598687, Average Loss  0.604803, Time  0.235876
2021-09-15 22:14:17.235382 : Epoch  5, Batch    622, Loss  0.596591, Average Loss  0.604828, Time  0.238591
2021-09-15 22:14:18.349537 : Epoch  3, Batch    580, Loss  0.882590, Average Loss  0.870713, Time  0.265182
2021-09-15 22:14:21.044322 : Epoch  5, Batch    623, Loss  0.607973, Average Loss  0.604788, Time  0.269688
2021-09-15 22:14:21.426222 : Epoch  3, Batch    581, Loss  0.903068, Average Loss  0.870824, Time  0.269284
2021-09-15 22:14:22.582090 : Epoch  5, Batch    624, Loss  0.607683, Average Loss  0.604752, Time  0.250672
2021-09-15 22:14:24.115975 : Epoch  5, Batch    625, Loss  0.597983, Average Loss  0.604692, Time  0.236605
2021-09-15 22:14:24.491161 : Epoch  3, Batch    582, Loss  0.859343, Average Loss  0.870720, Time  0.265840
2021-09-15 22:14:25.632543 : Epoch  5, Batch    626, Loss  0.606189, Average Loss  0.604672, Time  0.236685
2021-09-15 22:14:27.153688 : Epoch  5, Batch    627, Loss  0.604459, Average Loss  0.604702, Time  0.236305
2021-09-15 22:14:27.549242 : Epoch  3, Batch    583, Loss  0.876786, Average Loss  0.870788, Time  0.265858
2021-09-15 22:14:28.678116 : Epoch  5, Batch    628, Loss  0.603581, Average Loss  0.604767, Time  0.237105
2021-09-15 22:14:30.199245 : Epoch  5, Batch    629, Loss  0.599283, Average Loss  0.604714, Time  0.237090
2021-09-15 22:14:30.611966 : Epoch  3, Batch    584, Loss  0.861766, Average Loss  0.870702, Time  0.265152
2021-09-15 22:14:31.717403 : Epoch  5, Batch    630, Loss  0.603122, Average Loss  0.604657, Time  0.235923
2021-09-15 22:14:33.250323 : Epoch  5, Batch    631, Loss  0.599630, Average Loss  0.604604, Time  0.238050
2021-09-15 22:14:33.684612 : Epoch  3, Batch    585, Loss  0.874565, Average Loss  0.870804, Time  0.267364
2021-09-15 22:14:34.767107 : Epoch  5, Batch    632, Loss  0.607377, Average Loss  0.604672, Time  0.236414
2021-09-15 22:14:36.293065 : Epoch  5, Batch    633, Loss  0.600550, Average Loss  0.604652, Time  0.239186
2021-09-15 22:14:36.738087 : Epoch  3, Batch    586, Loss  0.885724, Average Loss  0.870857, Time  0.265720
2021-09-15 22:14:37.823770 : Epoch  5, Batch    634, Loss  0.605319, Average Loss  0.604655, Time  0.235598
2021-09-15 22:14:39.344092 : Epoch  5, Batch    635, Loss  0.592885, Average Loss  0.604632, Time  0.236246
2021-09-15 22:14:39.804220 : Epoch  3, Batch    587, Loss  0.861257, Average Loss  0.870810, Time  0.265455
2021-09-15 22:14:40.887832 : Epoch  5, Batch    636, Loss  0.601860, Average Loss  0.604582, Time  0.240977
2021-09-15 22:14:42.409553 : Epoch  5, Batch    637, Loss  0.615138, Average Loss  0.604673, Time  0.236356
2021-09-15 22:14:42.862488 : Epoch  3, Batch    588, Loss  0.853521, Average Loss  0.870693, Time  0.267426
2021-09-15 22:14:43.940109 : Epoch  5, Batch    638, Loss  0.605557, Average Loss  0.604639, Time  0.236027
2021-09-15 22:14:45.466266 : Epoch  5, Batch    639, Loss  0.606820, Average Loss  0.604639, Time  0.235853
2021-09-15 22:14:46.982144 : Epoch  5, Batch    640, Loss  0.613591, Average Loss  0.604717, Time  0.235773
2021-09-15 22:14:48.509894 : Epoch  5, Batch    641, Loss  0.615869, Average Loss  0.604813, Time  0.236647
2021-09-15 22:14:50.036401 : Epoch  5, Batch    642, Loss  0.619110, Average Loss  0.604914, Time  0.236602
2021-09-15 22:14:51.565385 : Epoch  5, Batch    643, Loss  0.597764, Average Loss  0.604846, Time  0.236793
2021-09-15 22:14:53.086727 : Epoch  5, Batch    644, Loss  0.599702, Average Loss  0.604794, Time  0.236320
2021-09-15 22:14:54.607046 : Epoch  5, Batch    645, Loss  0.614617, Average Loss  0.604861, Time  0.235871
2021-09-15 22:14:56.127086 : Epoch  5, Batch    646, Loss  0.609393, Average Loss  0.604854, Time  0.236106
2021-09-15 22:14:57.647208 : Epoch  5, Batch    647, Loss  0.598668, Average Loss  0.604867, Time  0.236016
2021-09-15 22:14:59.166386 : Epoch  5, Batch    648, Loss  0.612236, Average Loss  0.604894, Time  0.238437
2021-09-15 22:15:00.679249 : Epoch  5, Batch    649, Loss  0.601888, Average Loss  0.604844, Time  0.235825
2021-09-15 22:15:02.201019 : Epoch  5, Batch    650, Loss  0.605738, Average Loss  0.604815, Time  0.236675
2021-09-15 22:15:03.721048 : Epoch  5, Batch    651, Loss  0.598882, Average Loss  0.604811, Time  0.235999
2021-09-15 22:15:05.255745 : Epoch  5, Batch    652, Loss  0.606262, Average Loss  0.604842, Time  0.236562
2021-09-15 22:16:02.151845 : CheckPoint: Validation Loss  0.00025861, Best Loss  0.00024241
2021-09-15 22:16:03.704244 : Epoch  5, Batch    653, Loss  0.618909, Average Loss  0.604825, Time  0.237051
2021-09-15 22:16:05.236180 : Epoch  5, Batch    654, Loss  0.604183, Average Loss  0.604818, Time  0.236491
2021-09-15 22:16:06.767017 : Epoch  5, Batch    655, Loss  0.603842, Average Loss  0.604792, Time  0.237739
2021-09-15 22:16:08.300388 : Epoch  5, Batch    656, Loss  0.600728, Average Loss  0.604825, Time  0.235720
2021-09-15 22:16:09.847253 : Epoch  5, Batch    657, Loss  0.600167, Average Loss  0.604829, Time  0.236207
2021-09-15 22:16:11.371922 : Epoch  5, Batch    658, Loss  0.605187, Average Loss  0.604794, Time  0.236816
2021-09-15 22:16:12.899085 : Epoch  5, Batch    659, Loss  0.608328, Average Loss  0.604802, Time  0.236367
2021-09-15 22:16:14.433142 : Epoch  5, Batch    660, Loss  0.603709, Average Loss  0.604740, Time  0.236810
2021-09-15 22:16:15.975844 : Epoch  5, Batch    661, Loss  0.599251, Average Loss  0.604726, Time  0.238031
2021-09-15 22:16:17.502543 : Epoch  5, Batch    662, Loss  0.604414, Average Loss  0.604669, Time  0.238026
2021-09-15 22:16:19.037540 : Epoch  5, Batch    663, Loss  0.607685, Average Loss  0.604696, Time  0.239318
2021-09-15 22:16:20.569414 : Epoch  5, Batch    664, Loss  0.608321, Average Loss  0.604753, Time  0.236177
2021-09-15 22:16:22.097346 : Epoch  5, Batch    665, Loss  0.609418, Average Loss  0.604757, Time  0.236046
2021-09-15 22:16:23.624076 : Epoch  5, Batch    666, Loss  0.599474, Average Loss  0.604709, Time  0.236498
2021-09-15 22:16:25.154928 : Epoch  5, Batch    667, Loss  0.607018, Average Loss  0.604694, Time  0.235896
2021-09-15 22:16:26.689440 : Epoch  5, Batch    668, Loss  0.602161, Average Loss  0.604678, Time  0.237273
2021-09-15 22:16:28.223255 : Epoch  5, Batch    669, Loss  0.613390, Average Loss  0.604757, Time  0.239620
2021-09-15 22:16:29.758146 : Epoch  5, Batch    670, Loss  0.609356, Average Loss  0.604845, Time  0.236031
2021-09-15 22:16:31.293599 : Epoch  5, Batch    671, Loss  0.599069, Average Loss  0.604814, Time  0.235805
2021-09-15 22:16:32.823623 : Epoch  5, Batch    672, Loss  0.599599, Average Loss  0.604739, Time  0.236339
2021-09-15 22:16:34.357426 : Epoch  5, Batch    673, Loss  0.600339, Average Loss  0.604719, Time  0.235716
2021-09-15 22:16:35.890245 : Epoch  5, Batch    674, Loss  0.614281, Average Loss  0.604815, Time  0.237099
2021-09-15 22:16:37.420482 : Epoch  5, Batch    675, Loss  0.602369, Average Loss  0.604839, Time  0.236973
2021-09-15 22:16:38.950248 : Epoch  5, Batch    676, Loss  0.611332, Average Loss  0.604854, Time  0.235795
2021-09-15 22:16:40.485873 : Epoch  5, Batch    677, Loss  0.595652, Average Loss  0.604759, Time  0.239219
2021-09-15 22:16:42.011345 : Epoch  5, Batch    678, Loss  0.608773, Average Loss  0.604787, Time  0.236187
2021-09-15 22:16:43.537051 : Epoch  5, Batch    679, Loss  0.598736, Average Loss  0.604763, Time  0.236338
2021-09-15 22:16:45.074100 : Epoch  5, Batch    680, Loss  0.615110, Average Loss  0.604780, Time  0.236227
2021-09-15 22:16:46.604354 : Epoch  5, Batch    681, Loss  0.602917, Average Loss  0.604815, Time  0.238755
2021-09-15 22:16:48.130167 : Epoch  5, Batch    682, Loss  0.610860, Average Loss  0.604829, Time  0.235887
2021-09-15 22:16:49.663021 : Epoch  5, Batch    683, Loss  0.602257, Average Loss  0.604826, Time  0.237030
2021-09-15 22:16:51.195546 : Epoch  5, Batch    684, Loss  0.598530, Average Loss  0.604756, Time  0.236783
2021-09-15 22:16:52.720922 : Epoch  5, Batch    685, Loss  0.617554, Average Loss  0.604812, Time  0.236706
2021-09-15 22:16:54.255005 : Epoch  5, Batch    686, Loss  0.608999, Average Loss  0.604870, Time  0.237630
2021-09-15 22:16:55.789244 : Epoch  5, Batch    687, Loss  0.599531, Average Loss  0.604826, Time  0.236846
2021-09-15 22:16:57.323417 : Epoch  5, Batch    688, Loss  0.610098, Average Loss  0.604880, Time  0.238404
2021-09-15 22:16:58.848007 : Epoch  5, Batch    689, Loss  0.596298, Average Loss  0.604826, Time  0.236274
2021-09-15 22:17:00.381570 : Epoch  5, Batch    690, Loss  0.605926, Average Loss  0.604846, Time  0.236840
2021-09-15 22:17:01.913150 : Epoch  5, Batch    691, Loss  0.618473, Average Loss  0.604915, Time  0.236096
2021-09-15 22:17:03.443446 : Epoch  5, Batch    692, Loss  0.600891, Average Loss  0.604866, Time  0.236854
2021-09-15 22:17:04.967689 : Epoch  5, Batch    693, Loss  0.598668, Average Loss  0.604864, Time  0.235939
2021-09-15 22:17:06.498987 : Epoch  5, Batch    694, Loss  0.617659, Average Loss  0.604850, Time  0.237875
2021-09-15 22:17:08.030836 : Epoch  5, Batch    695, Loss  0.602647, Average Loss  0.604831, Time  0.236613
2021-09-15 22:17:09.563020 : Epoch  5, Batch    696, Loss  0.602588, Average Loss  0.604749, Time  0.235981
2021-09-15 22:17:11.087194 : Epoch  5, Batch    697, Loss  0.598520, Average Loss  0.604702, Time  0.237078
2021-09-15 22:17:12.611038 : Epoch  5, Batch    698, Loss  0.598584, Average Loss  0.604700, Time  0.236163
2021-09-15 22:17:14.137936 : Epoch  5, Batch    699, Loss  0.598577, Average Loss  0.604613, Time  0.235999
2021-09-15 22:17:15.669432 : Epoch  5, Batch    700, Loss  0.610385, Average Loss  0.604579, Time  0.235680
2021-09-15 22:17:17.202641 : Epoch  5, Batch    701, Loss  0.603249, Average Loss  0.604561, Time  0.235961
2021-09-15 22:17:18.734530 : Epoch  5, Batch    702, Loss  0.597607, Average Loss  0.604539, Time  0.237927
2021-09-15 22:17:20.265104 : Epoch  5, Batch    703, Loss  0.610244, Average Loss  0.604554, Time  0.235963
2021-09-15 22:17:21.795186 : Epoch  5, Batch    704, Loss  0.600917, Average Loss  0.604509, Time  0.235847
2021-09-15 22:17:23.336265 : Epoch  5, Batch    705, Loss  0.609568, Average Loss  0.604544, Time  0.236179
2021-09-15 22:17:24.869987 : Epoch  5, Batch    706, Loss  0.608796, Average Loss  0.604561, Time  0.235781
2021-09-15 22:17:26.411374 : Epoch  5, Batch    707, Loss  0.609868, Average Loss  0.604610, Time  0.235934
2021-09-15 22:17:27.945802 : Epoch  5, Batch    708, Loss  0.607641, Average Loss  0.604601, Time  0.235962
2021-09-15 22:17:29.473425 : Epoch  5, Batch    709, Loss  0.614000, Average Loss  0.604582, Time  0.237025
2021-09-15 22:17:31.011175 : Epoch  5, Batch    710, Loss  0.605617, Average Loss  0.604555, Time  0.236889
2021-09-15 22:17:32.545093 : Epoch  5, Batch    711, Loss  0.615244, Average Loss  0.604610, Time  0.237986
2021-09-15 22:17:34.074408 : Epoch  5, Batch    712, Loss  0.603651, Average Loss  0.604539, Time  0.235765
2021-09-15 22:17:35.610466 : Epoch  5, Batch    713, Loss  0.607125, Average Loss  0.604565, Time  0.236763
2021-09-15 22:17:37.142103 : Epoch  5, Batch    714, Loss  0.609288, Average Loss  0.604614, Time  0.235799
2021-09-15 22:17:38.673331 : Epoch  5, Batch    715, Loss  0.611480, Average Loss  0.604687, Time  0.235921
2021-09-15 22:17:40.207507 : Epoch  5, Batch    716, Loss  0.620594, Average Loss  0.604774, Time  0.239938
2021-09-15 22:17:41.739001 : Epoch  5, Batch    717, Loss  0.602434, Average Loss  0.604759, Time  0.236477
2021-09-15 22:17:43.271909 : Epoch  5, Batch    718, Loss  0.606709, Average Loss  0.604768, Time  0.236495
2021-09-15 22:17:44.804487 : Epoch  5, Batch    719, Loss  0.611277, Average Loss  0.604802, Time  0.235778
2021-09-15 22:17:46.330135 : Epoch  5, Batch    720, Loss  0.597810, Average Loss  0.604744, Time  0.235467
2021-09-15 22:17:47.863420 : Epoch  5, Batch    721, Loss  0.614379, Average Loss  0.604791, Time  0.235869
2021-09-15 22:17:49.393846 : Epoch  5, Batch    722, Loss  0.610308, Average Loss  0.604806, Time  0.236416
2021-09-15 22:17:53.193637 : Epoch  5, Batch    723, Loss  0.603720, Average Loss  0.604835, Time  0.265721
2021-09-15 22:17:54.718154 : Epoch  5, Batch    724, Loss  0.591160, Average Loss  0.604685, Time  0.238976
2021-09-15 22:17:56.237887 : Epoch  5, Batch    725, Loss  0.612192, Average Loss  0.605214, Time  0.236206
2021-09-15 22:17:57.761841 : Epoch  5, Batch    726, Loss  0.601473, Average Loss  0.605236, Time  0.236944
2021-09-15 22:17:59.278433 : Epoch  5, Batch    727, Loss  0.601869, Average Loss  0.605209, Time  0.236156
2021-09-15 22:18:00.809128 : Epoch  5, Batch    728, Loss  0.613782, Average Loss  0.605262, Time  0.236401
2021-09-15 22:18:02.326991 : Epoch  5, Batch    729, Loss  0.604046, Average Loss  0.605212, Time  0.236661
2021-09-15 22:18:03.857457 : Epoch  5, Batch    730, Loss  0.611047, Average Loss  0.605200, Time  0.238633
2021-09-15 22:18:05.383124 : Epoch  5, Batch    731, Loss  0.607845, Average Loss  0.605178, Time  0.237315
2021-09-15 22:18:06.908072 : Epoch  5, Batch    732, Loss  0.607014, Average Loss  0.605133, Time  0.236637
2021-09-15 22:18:08.433041 : Epoch  5, Batch    733, Loss  0.598631, Average Loss  0.605123, Time  0.237560
2021-09-15 22:18:09.962189 : Epoch  5, Batch    734, Loss  0.605291, Average Loss  0.605115, Time  0.235929
2021-09-15 22:18:11.482414 : Epoch  5, Batch    735, Loss  0.608763, Average Loss  0.605163, Time  0.236142
2021-09-15 22:18:13.006378 : Epoch  5, Batch    736, Loss  0.599149, Average Loss  0.605099, Time  0.235609
2021-09-15 22:18:14.534959 : Epoch  5, Batch    737, Loss  0.612402, Average Loss  0.605135, Time  0.236057
2021-09-15 22:18:16.060897 : Epoch  5, Batch    738, Loss  0.598654, Average Loss  0.605102, Time  0.236341
2021-09-15 22:18:17.588775 : Epoch  5, Batch    739, Loss  0.594543, Average Loss  0.605014, Time  0.237334
2021-09-15 22:18:19.113855 : Epoch  5, Batch    740, Loss  0.590410, Average Loss  0.604956, Time  0.239555
2021-09-15 22:18:20.646585 : Epoch  5, Batch    741, Loss  0.612189, Average Loss  0.604941, Time  0.239255
2021-09-15 22:18:22.177266 : Epoch  5, Batch    742, Loss  0.599637, Average Loss  0.604900, Time  0.237037
2021-09-15 22:18:23.711218 : Epoch  5, Batch    743, Loss  0.595701, Average Loss  0.604883, Time  0.235898
2021-09-15 22:18:25.239107 : Epoch  5, Batch    744, Loss  0.613260, Average Loss  0.604995, Time  0.235747
2021-09-15 22:18:26.761906 : Epoch  5, Batch    745, Loss  0.606965, Average Loss  0.604989, Time  0.236759
2021-09-15 22:18:28.288405 : Epoch  5, Batch    746, Loss  0.602286, Average Loss  0.604989, Time  0.236649
2021-09-15 22:18:29.812176 : Epoch  5, Batch    747, Loss  0.596446, Average Loss  0.604915, Time  0.236947
2021-09-15 22:18:31.353891 : Epoch  5, Batch    748, Loss  0.604902, Average Loss  0.604981, Time  0.237519
2021-09-15 22:18:32.893453 : Epoch  5, Batch    749, Loss  0.591392, Average Loss  0.605001, Time  0.236259
2021-09-15 22:18:34.418007 : Epoch  5, Batch    750, Loss  0.604019, Average Loss  0.604986, Time  0.237450
2021-09-15 22:18:35.946707 : Epoch  5, Batch    751, Loss  0.597154, Average Loss  0.604923, Time  0.236286
2021-09-15 22:18:37.472399 : Epoch  5, Batch    752, Loss  0.612745, Average Loss  0.604947, Time  0.235798
2021-09-15 22:19:28.716065 : CheckPoint: Validation Loss  0.00031212, Best Loss  0.00029429
2021-09-15 22:19:31.798550 : Epoch  3, Batch    589, Loss  0.876342, Average Loss  0.870810, Time  0.280418
2021-09-15 22:19:34.326775 : CheckPoint: Validation Loss  0.00025285, Best Loss  0.00024241
2021-09-15 22:19:34.875268 : Epoch  3, Batch    590, Loss  0.858259, Average Loss  0.870840, Time  0.266104
2021-09-15 22:19:35.890851 : Epoch  5, Batch    753, Loss  0.597488, Average Loss  0.604890, Time  0.272214
2021-09-15 22:19:37.416803 : Epoch  5, Batch    754, Loss  0.598998, Average Loss  0.604903, Time  0.251880
2021-09-15 22:19:37.962241 : Epoch  3, Batch    591, Loss  0.836352, Average Loss  0.870662, Time  0.265605
2021-09-15 22:19:38.953371 : Epoch  5, Batch    755, Loss  0.612398, Average Loss  0.604897, Time  0.239445
2021-09-15 22:19:40.475242 : Epoch  5, Batch    756, Loss  0.597216, Average Loss  0.604866, Time  0.236451
2021-09-15 22:19:41.043627 : Epoch  3, Batch    592, Loss  0.846459, Average Loss  0.870544, Time  0.265716
2021-09-15 22:19:41.990222 : Epoch  5, Batch    757, Loss  0.599745, Average Loss  0.604795, Time  0.236788
2021-09-15 22:19:43.501081 : Epoch  5, Batch    758, Loss  0.593353, Average Loss  0.604794, Time  0.235432
2021-09-15 22:19:44.119427 : Epoch  3, Batch    593, Loss  0.864073, Average Loss  0.870572, Time  0.265406
2021-09-15 22:19:45.024564 : Epoch  5, Batch    759, Loss  0.601844, Average Loss  0.604806, Time  0.235963
2021-09-15 22:19:46.547427 : Epoch  5, Batch    760, Loss  0.608117, Average Loss  0.604915, Time  0.236276
2021-09-15 22:19:47.193296 : Epoch  3, Batch    594, Loss  0.859602, Average Loss  0.870512, Time  0.265741
2021-09-15 22:19:48.073024 : Epoch  5, Batch    761, Loss  0.597931, Average Loss  0.604862, Time  0.235938
2021-09-15 22:19:49.594359 : Epoch  5, Batch    762, Loss  0.610003, Average Loss  0.604916, Time  0.236142
2021-09-15 22:19:50.268237 : Epoch  3, Batch    595, Loss  0.869268, Average Loss  0.870434, Time  0.265921
2021-09-15 22:19:51.128108 : Epoch  5, Batch    763, Loss  0.601464, Average Loss  0.604915, Time  0.235989
2021-09-15 22:19:52.650048 : Epoch  5, Batch    764, Loss  0.615612, Average Loss  0.605001, Time  0.235846
2021-09-15 22:19:53.333858 : Epoch  3, Batch    596, Loss  0.892028, Average Loss  0.870467, Time  0.266387
2021-09-15 22:19:54.192206 : Epoch  5, Batch    765, Loss  0.601626, Average Loss  0.604985, Time  0.254827
2021-09-15 22:19:55.709543 : Epoch  5, Batch    766, Loss  0.596928, Average Loss  0.604953, Time  0.235811
2021-09-15 22:19:56.417139 : Epoch  3, Batch    597, Loss  0.884620, Average Loss  0.870474, Time  0.265291
2021-09-15 22:19:57.247256 : Epoch  5, Batch    767, Loss  0.611023, Average Loss  0.605026, Time  0.235713
2021-09-15 22:19:58.787417 : Epoch  5, Batch    768, Loss  0.611363, Average Loss  0.605016, Time  0.235704
2021-09-15 22:19:59.497595 : Epoch  3, Batch    598, Loss  0.864578, Average Loss  0.870438, Time  0.266652
2021-09-15 22:20:00.327009 : Epoch  5, Batch    769, Loss  0.612944, Average Loss  0.605092, Time  0.255170
2021-09-15 22:20:01.858082 : Epoch  5, Batch    770, Loss  0.596450, Average Loss  0.605049, Time  0.236362
2021-09-15 22:20:02.565149 : Epoch  3, Batch    599, Loss  0.898893, Average Loss  0.870611, Time  0.265613
2021-09-15 22:20:03.381876 : Epoch  5, Batch    771, Loss  0.614584, Average Loss  0.605111, Time  0.238178
2021-09-15 22:20:04.908324 : Epoch  5, Batch    772, Loss  0.605032, Average Loss  0.605090, Time  0.235916
2021-09-15 22:20:05.634795 : Epoch  3, Batch    600, Loss  0.887926, Average Loss  0.870854, Time  0.265859
2021-09-15 22:20:06.450995 : Epoch  5, Batch    773, Loss  0.605937, Average Loss  0.605093, Time  0.238765
2021-09-15 22:20:07.974408 : Epoch  5, Batch    774, Loss  0.598318, Average Loss  0.605096, Time  0.237805
2021-09-15 22:20:08.715777 : Epoch  3, Batch    601, Loss  0.905282, Average Loss  0.871072, Time  0.265392
2021-09-15 22:20:09.501414 : Epoch  5, Batch    775, Loss  0.605670, Average Loss  0.605085, Time  0.236828
2021-09-15 22:20:11.021468 : Epoch  5, Batch    776, Loss  0.607952, Average Loss  0.605167, Time  0.236855
2021-09-15 22:20:11.788755 : Epoch  3, Batch    602, Loss  0.863317, Average Loss  0.870908, Time  0.265779
2021-09-15 22:20:12.537227 : Epoch  5, Batch    777, Loss  0.607490, Average Loss  0.605170, Time  0.236196
2021-09-15 22:20:14.049458 : Epoch  5, Batch    778, Loss  0.604988, Average Loss  0.605210, Time  0.236020
2021-09-15 22:20:14.870845 : Epoch  3, Batch    603, Loss  0.869489, Average Loss  0.870976, Time  0.273700
2021-09-15 22:20:15.572058 : Epoch  5, Batch    779, Loss  0.613152, Average Loss  0.605248, Time  0.235690
2021-09-15 22:20:17.111042 : Epoch  5, Batch    780, Loss  0.595225, Average Loss  0.605192, Time  0.237163
2021-09-15 22:20:17.946492 : Epoch  3, Batch    604, Loss  0.860499, Average Loss  0.870916, Time  0.265891
2021-09-15 22:20:18.628863 : Epoch  5, Batch    781, Loss  0.605593, Average Loss  0.605178, Time  0.236323
2021-09-15 22:20:20.139425 : Epoch  5, Batch    782, Loss  0.600711, Average Loss  0.605098, Time  0.235969
2021-09-15 22:20:21.028868 : Epoch  3, Batch    605, Loss  0.870580, Average Loss  0.870922, Time  0.265363
2021-09-15 22:20:21.676973 : Epoch  5, Batch    783, Loss  0.607548, Average Loss  0.605116, Time  0.236135
2021-09-15 22:20:23.188783 : Epoch  5, Batch    784, Loss  0.615334, Average Loss  0.605172, Time  0.235923
2021-09-15 22:20:24.104715 : Epoch  3, Batch    606, Loss  0.886251, Average Loss  0.870917, Time  0.265516
2021-09-15 22:20:24.697876 : Epoch  5, Batch    785, Loss  0.601345, Average Loss  0.605146, Time  0.235784
2021-09-15 22:20:26.221638 : Epoch  5, Batch    786, Loss  0.590641, Average Loss  0.605145, Time  0.236401
2021-09-15 22:20:27.181515 : Epoch  3, Batch    607, Loss  0.856668, Average Loss  0.870762, Time  0.265243
2021-09-15 22:20:27.740467 : Epoch  5, Batch    787, Loss  0.597383, Average Loss  0.605110, Time  0.236315
2021-09-15 22:20:27.785563 : Saving Model after 5-th Epoch.
2021-09-15 22:20:28.661225 : Epoch Finished.
2021-09-15 22:20:30.254654 : Epoch  3, Batch    608, Loss  0.911704, Average Loss  0.870899, Time  0.265630
2021-09-15 22:20:30.984616 : Batch Shuffled
2021-09-15 22:20:32.524090 : Epoch  6, Batch      1, Loss  0.604898, Average Loss  0.605124, Time  0.268671
2021-09-15 22:20:33.321936 : Epoch  3, Batch    609, Loss  0.864029, Average Loss  0.870998, Time  0.265471
2021-09-15 22:20:34.038011 : Epoch  6, Batch      2, Loss  0.615583, Average Loss  0.605166, Time  0.238499
2021-09-15 22:20:35.550495 : Epoch  6, Batch      3, Loss  0.604960, Average Loss  0.605199, Time  0.237573
2021-09-15 22:20:36.387211 : Epoch  3, Batch    610, Loss  0.882129, Average Loss  0.871051, Time  0.265770
2021-09-15 22:20:37.066949 : Epoch  6, Batch      4, Loss  0.611735, Average Loss  0.605203, Time  0.242337
2021-09-15 22:20:38.575087 : Epoch  6, Batch      5, Loss  0.592831, Average Loss  0.605112, Time  0.236219
2021-09-15 22:20:39.452214 : Epoch  3, Batch    611, Loss  0.856215, Average Loss  0.870984, Time  0.265685
2021-09-15 22:20:40.095243 : Epoch  6, Batch      6, Loss  0.605960, Average Loss  0.605111, Time  0.237886
2021-09-15 22:20:41.608367 : Epoch  6, Batch      7, Loss  0.608008, Average Loss  0.605090, Time  0.236612
2021-09-15 22:20:42.517671 : Epoch  3, Batch    612, Loss  0.885405, Average Loss  0.871053, Time  0.265414
2021-09-15 22:20:43.126385 : Epoch  6, Batch      8, Loss  0.609271, Average Loss  0.605089, Time  0.237731
2021-09-15 22:20:44.647393 : Epoch  6, Batch      9, Loss  0.594882, Average Loss  0.605031, Time  0.236178
2021-09-15 22:20:45.597068 : Epoch  3, Batch    613, Loss  0.849594, Average Loss  0.870963, Time  0.264968
2021-09-15 22:20:46.173461 : Epoch  6, Batch     10, Loss  0.602220, Average Loss  0.605006, Time  0.236391
2021-09-15 22:20:47.690092 : Epoch  6, Batch     11, Loss  0.608232, Average Loss  0.605008, Time  0.238643
2021-09-15 22:20:48.662447 : Epoch  3, Batch    614, Loss  0.856384, Average Loss  0.870862, Time  0.265472
2021-09-15 22:20:49.201960 : Epoch  6, Batch     12, Loss  0.606512, Average Loss  0.604969, Time  0.235837
2021-09-15 22:20:50.722002 : Epoch  6, Batch     13, Loss  0.608403, Average Loss  0.604994, Time  0.236816
2021-09-15 22:20:51.742728 : Epoch  3, Batch    615, Loss  0.862254, Average Loss  0.870769, Time  0.273063
2021-09-15 22:20:52.255059 : Epoch  6, Batch     14, Loss  0.612725, Average Loss  0.605087, Time  0.235602
2021-09-15 22:20:53.756965 : Epoch  6, Batch     15, Loss  0.601630, Average Loss  0.605029, Time  0.236140
2021-09-15 22:20:54.812613 : Epoch  3, Batch    616, Loss  0.872763, Average Loss  0.870836, Time  0.267051
2021-09-15 22:20:55.269797 : Epoch  6, Batch     16, Loss  0.596284, Average Loss  0.604986, Time  0.236444
2021-09-15 22:20:56.766032 : Epoch  6, Batch     17, Loss  0.611639, Average Loss  0.604996, Time  0.236411
2021-09-15 22:20:57.877350 : Epoch  3, Batch    617, Loss  0.854881, Average Loss  0.870729, Time  0.265203
2021-09-15 22:20:58.283006 : Epoch  6, Batch     18, Loss  0.594981, Average Loss  0.604936, Time  0.236130
2021-09-15 22:20:59.776416 : Epoch  6, Batch     19, Loss  0.596923, Average Loss  0.604936, Time  0.236203
2021-09-15 22:21:00.969614 : Epoch  3, Batch    618, Loss  0.851188, Average Loss  0.870665, Time  0.275832
2021-09-15 22:21:01.291717 : Epoch  6, Batch     20, Loss  0.604893, Average Loss  0.604959, Time  0.236816
2021-09-15 22:21:02.796532 : Epoch  6, Batch     21, Loss  0.598044, Average Loss  0.604951, Time  0.236380
2021-09-15 22:21:04.044705 : Epoch  3, Batch    619, Loss  0.883364, Average Loss  0.870754, Time  0.265561
2021-09-15 22:21:04.312830 : Epoch  6, Batch     22, Loss  0.605351, Average Loss  0.604912, Time  0.237435
2021-09-15 22:21:05.821298 : Epoch  6, Batch     23, Loss  0.611750, Average Loss  0.604975, Time  0.238143
2021-09-15 22:21:07.111997 : Epoch  3, Batch    620, Loss  0.872428, Average Loss  0.870841, Time  0.265863
2021-09-15 22:21:07.337688 : Epoch  6, Batch     24, Loss  0.608583, Average Loss  0.604967, Time  0.236720
2021-09-15 22:21:08.837349 : Epoch  6, Batch     25, Loss  0.609950, Average Loss  0.604960, Time  0.235361
2021-09-15 22:21:10.185681 : Epoch  3, Batch    621, Loss  0.858548, Average Loss  0.870711, Time  0.265573
2021-09-15 22:21:10.350986 : Epoch  6, Batch     26, Loss  0.613512, Average Loss  0.604953, Time  0.236135
2021-09-15 22:21:11.866174 : Epoch  6, Batch     27, Loss  0.603518, Average Loss  0.604934, Time  0.236014
2021-09-15 22:21:13.260445 : Epoch  3, Batch    622, Loss  0.857369, Average Loss  0.870725, Time  0.265779
2021-09-15 22:21:13.382109 : Epoch  6, Batch     28, Loss  0.602553, Average Loss  0.604908, Time  0.236634
2021-09-15 22:21:14.894015 : Epoch  6, Batch     29, Loss  0.607447, Average Loss  0.604937, Time  0.236509
2021-09-15 22:21:16.333329 : Epoch  3, Batch    623, Loss  0.863950, Average Loss  0.870565, Time  0.265145
2021-09-15 22:21:16.408997 : Epoch  6, Batch     30, Loss  0.598456, Average Loss  0.604939, Time  0.237744
2021-09-15 22:21:17.920540 : Epoch  6, Batch     31, Loss  0.612451, Average Loss  0.604999, Time  0.236091
2021-09-15 22:21:19.409113 : Epoch  3, Batch    624, Loss  0.873446, Average Loss  0.870600, Time  0.269517
2021-09-15 22:21:19.451877 : Epoch  6, Batch     32, Loss  0.603528, Average Loss  0.605018, Time  0.237607
2021-09-15 22:21:20.983500 : Epoch  6, Batch     33, Loss  0.598049, Average Loss  0.604944, Time  0.237007
2021-09-15 22:21:22.481824 : Epoch  3, Batch    625, Loss  0.858485, Average Loss  0.870552, Time  0.266130
2021-09-15 22:21:22.509260 : Epoch  6, Batch     34, Loss  0.600876, Average Loss  0.604955, Time  0.236106
2021-09-15 22:21:24.023887 : Epoch  6, Batch     35, Loss  0.603921, Average Loss  0.604992, Time  0.236326
2021-09-15 22:21:25.549825 : Epoch  3, Batch    626, Loss  0.882846, Average Loss  0.870628, Time  0.265628
2021-09-15 22:21:25.581073 : Epoch  6, Batch     36, Loss  0.595358, Average Loss  0.604929, Time  0.235697
2021-09-15 22:21:27.124826 : Epoch  6, Batch     37, Loss  0.602679, Average Loss  0.604904, Time  0.237335
2021-09-15 22:21:28.621823 : Epoch  3, Batch    627, Loss  0.854581, Average Loss  0.870527, Time  0.265338
2021-09-15 22:21:28.639942 : Epoch  6, Batch     38, Loss  0.604986, Average Loss  0.604939, Time  0.235854
2021-09-15 22:21:30.158896 : Epoch  6, Batch     39, Loss  0.604160, Average Loss  0.604929, Time  0.236014
2021-09-15 22:21:31.677393 : Epoch  6, Batch     40, Loss  0.606601, Average Loss  0.604939, Time  0.235862
2021-09-15 22:21:31.727991 : Epoch  3, Batch    628, Loss  0.850468, Average Loss  0.870521, Time  0.265429
2021-09-15 22:21:33.197097 : Epoch  6, Batch     41, Loss  0.585115, Average Loss  0.604847, Time  0.235637
2021-09-15 22:21:34.708161 : Epoch  6, Batch     42, Loss  0.615386, Average Loss  0.604927, Time  0.236033
2021-09-15 22:21:34.812245 : Epoch  3, Batch    629, Loss  0.886721, Average Loss  0.870601, Time  0.265770
2021-09-15 22:21:36.230416 : Epoch  6, Batch     43, Loss  0.611594, Average Loss  0.604970, Time  0.236242
2021-09-15 22:21:37.764872 : Epoch  6, Batch     44, Loss  0.602179, Average Loss  0.604983, Time  0.238498
2021-09-15 22:21:37.880481 : Epoch  3, Batch    630, Loss  0.874195, Average Loss  0.870564, Time  0.265578
2021-09-15 22:21:39.284429 : Epoch  6, Batch     45, Loss  0.593302, Average Loss  0.604912, Time  0.237117
2021-09-15 22:21:40.802567 : Epoch  6, Batch     46, Loss  0.611741, Average Loss  0.604968, Time  0.235871
2021-09-15 22:21:40.940518 : Epoch  3, Batch    631, Loss  0.863085, Average Loss  0.870596, Time  0.265304
2021-09-15 22:21:42.315583 : Epoch  6, Batch     47, Loss  0.599706, Average Loss  0.604940, Time  0.235676
2021-09-15 22:21:43.845837 : Epoch  6, Batch     48, Loss  0.606539, Average Loss  0.605008, Time  0.236713
2021-09-15 22:21:44.002899 : Epoch  3, Batch    632, Loss  0.876027, Average Loss  0.870518, Time  0.265336
2021-09-15 22:21:45.367277 : Epoch  6, Batch     49, Loss  0.611053, Average Loss  0.605054, Time  0.236923
2021-09-15 22:21:46.893107 : Epoch  6, Batch     50, Loss  0.606862, Average Loss  0.605013, Time  0.249892
2021-09-15 22:21:47.073186 : Epoch  3, Batch    633, Loss  0.872101, Average Loss  0.870438, Time  0.275392
2021-09-15 22:21:48.413195 : Epoch  6, Batch     51, Loss  0.601992, Average Loss  0.604995, Time  0.239639
2021-09-15 22:21:49.926797 : Epoch  6, Batch     52, Loss  0.598355, Average Loss  0.604953, Time  0.235719
2021-09-15 22:21:50.147655 : Epoch  3, Batch    634, Loss  0.870029, Average Loss  0.870388, Time  0.267157
2021-09-15 22:21:51.454204 : Epoch  6, Batch     53, Loss  0.606384, Average Loss  0.604917, Time  0.237050
2021-09-15 22:21:52.982126 : Epoch  6, Batch     54, Loss  0.601075, Average Loss  0.604843, Time  0.235999
2021-09-15 22:21:53.219872 : Epoch  3, Batch    635, Loss  0.874699, Average Loss  0.870347, Time  0.265956
2021-09-15 22:21:54.501660 : Epoch  6, Batch     55, Loss  0.596156, Average Loss  0.604728, Time  0.236138
2021-09-15 22:21:56.022094 : Epoch  6, Batch     56, Loss  0.588816, Average Loss  0.604683, Time  0.235895
2021-09-15 22:21:56.292120 : Epoch  3, Batch    636, Loss  0.857258, Average Loss  0.870321, Time  0.266414
2021-09-15 22:21:57.542326 : Epoch  6, Batch     57, Loss  0.605482, Average Loss  0.604712, Time  0.235845
2021-09-15 22:21:59.053705 : Epoch  6, Batch     58, Loss  0.600400, Average Loss  0.604641, Time  0.235796
2021-09-15 22:21:59.361741 : Epoch  3, Batch    637, Loss  0.864701, Average Loss  0.870367, Time  0.265309
2021-09-15 22:22:00.580271 : Epoch  6, Batch     59, Loss  0.602331, Average Loss  0.604606, Time  0.236707
2021-09-15 22:22:02.103082 : Epoch  6, Batch     60, Loss  0.610127, Average Loss  0.604663, Time  0.236495
2021-09-15 22:22:02.429822 : Epoch  3, Batch    638, Loss  0.890080, Average Loss  0.870585, Time  0.266146
2021-09-15 22:22:03.614948 : Epoch  6, Batch     61, Loss  0.615072, Average Loss  0.604677, Time  0.235807
2021-09-15 22:22:05.134451 : Epoch  6, Batch     62, Loss  0.620092, Average Loss  0.604768, Time  0.237134
2021-09-15 22:22:05.496754 : Epoch  3, Batch    639, Loss  0.859825, Average Loss  0.870513, Time  0.266028
2021-09-15 22:22:06.660318 : Epoch  6, Batch     63, Loss  0.611090, Average Loss  0.604795, Time  0.237223
2021-09-15 22:22:08.182009 : Epoch  6, Batch     64, Loss  0.609064, Average Loss  0.604846, Time  0.236575
2021-09-15 22:22:08.556566 : Epoch  3, Batch    640, Loss  0.880104, Average Loss  0.870592, Time  0.265743
2021-09-15 22:22:11.626821 : Epoch  3, Batch    641, Loss  0.873109, Average Loss  0.870674, Time  0.265634
2021-09-15 22:22:12.033506 : Epoch  6, Batch     65, Loss  0.607615, Average Loss  0.604853, Time  0.271308
2021-09-15 22:22:14.695735 : Epoch  3, Batch    642, Loss  0.870013, Average Loss  0.870688, Time  0.266210
2021-09-15 22:22:17.764601 : Epoch  3, Batch    643, Loss  0.874698, Average Loss  0.870650, Time  0.265899
2021-09-15 22:22:20.836792 : Epoch  3, Batch    644, Loss  0.872661, Average Loss  0.870557, Time  0.265988
2021-09-15 22:22:23.908907 : Epoch  3, Batch    645, Loss  0.864531, Average Loss  0.870494, Time  0.265508
2021-09-15 22:22:26.988831 : Epoch  3, Batch    646, Loss  0.864117, Average Loss  0.870570, Time  0.265716
2021-09-15 22:22:30.055196 : Epoch  3, Batch    647, Loss  0.862303, Average Loss  0.870578, Time  0.264821
2021-09-15 22:22:33.151145 : Epoch  3, Batch    648, Loss  0.860334, Average Loss  0.870530, Time  0.277993
2021-09-15 22:22:36.239410 : Epoch  3, Batch    649, Loss  0.866095, Average Loss  0.870578, Time  0.268528
2021-09-15 22:22:39.314604 : Epoch  3, Batch    650, Loss  0.866763, Average Loss  0.870541, Time  0.265507
2021-09-15 22:22:42.384199 : Epoch  3, Batch    651, Loss  0.871169, Average Loss  0.870667, Time  0.265238
2021-09-15 22:22:45.466915 : Epoch  3, Batch    652, Loss  0.845781, Average Loss  0.870619, Time  0.265709
2021-09-15 22:22:48.539828 : Epoch  3, Batch    653, Loss  0.870800, Average Loss  0.870613, Time  0.266469
2021-09-15 22:22:51.619158 : Epoch  3, Batch    654, Loss  0.885274, Average Loss  0.870782, Time  0.265157
2021-09-15 22:22:54.711516 : Epoch  3, Batch    655, Loss  0.884757, Average Loss  0.870823, Time  0.266108
2021-09-15 22:22:57.776828 : Epoch  3, Batch    656, Loss  0.857746, Average Loss  0.870631, Time  0.266782
2021-09-15 22:23:00.843062 : Epoch  3, Batch    657, Loss  0.873876, Average Loss  0.870652, Time  0.265558
2021-09-15 22:23:03.915211 : Epoch  3, Batch    658, Loss  0.859713, Average Loss  0.870634, Time  0.266887
2021-09-15 22:23:06.980278 : Epoch  3, Batch    659, Loss  0.882922, Average Loss  0.870618, Time  0.265830
2021-09-15 22:23:08.435566 : CheckPoint: Validation Loss  0.00025392, Best Loss  0.00024241
2021-09-15 22:23:09.964348 : Epoch  6, Batch     66, Loss  0.602175, Average Loss  0.604769, Time  0.236835
2021-09-15 22:23:10.051192 : Epoch  3, Batch    660, Loss  0.872159, Average Loss  0.870527, Time  0.265871
2021-09-15 22:23:11.488128 : Epoch  6, Batch     67, Loss  0.607337, Average Loss  0.604785, Time  0.235646
2021-09-15 22:23:13.006910 : Epoch  6, Batch     68, Loss  0.593329, Average Loss  0.604732, Time  0.235767
2021-09-15 22:23:13.126858 : Epoch  3, Batch    661, Loss  0.846147, Average Loss  0.870383, Time  0.266871
2021-09-15 22:23:14.517378 : Epoch  6, Batch     69, Loss  0.606983, Average Loss  0.604763, Time  0.235878
2021-09-15 22:23:16.058004 : Epoch  6, Batch     70, Loss  0.608632, Average Loss  0.604806, Time  0.236059
2021-09-15 22:23:16.186936 : Epoch  3, Batch    662, Loss  0.862360, Average Loss  0.870356, Time  0.265975
2021-09-15 22:23:17.575018 : Epoch  6, Batch     71, Loss  0.610237, Average Loss  0.604831, Time  0.236712
2021-09-15 22:23:19.094540 : Epoch  6, Batch     72, Loss  0.602429, Average Loss  0.604802, Time  0.235631
2021-09-15 22:23:19.274808 : Epoch  3, Batch    663, Loss  0.876147, Average Loss  0.870481, Time  0.277897
2021-09-15 22:23:20.614022 : Epoch  6, Batch     73, Loss  0.612650, Average Loss  0.604846, Time  0.236378
2021-09-15 22:23:22.151270 : Epoch  6, Batch     74, Loss  0.606852, Average Loss  0.604884, Time  0.235967
2021-09-15 22:23:22.345787 : Epoch  3, Batch    664, Loss  0.868673, Average Loss  0.870432, Time  0.266400
2021-09-15 22:23:23.674410 : Epoch  6, Batch     75, Loss  0.606854, Average Loss  0.604896, Time  0.235794
2021-09-15 22:23:25.223405 : Epoch  6, Batch     76, Loss  0.600578, Average Loss  0.604861, Time  0.236221
2021-09-15 22:23:25.418839 : Epoch  3, Batch    665, Loss  0.865311, Average Loss  0.870407, Time  0.265656
2021-09-15 22:23:26.746387 : Epoch  6, Batch     77, Loss  0.616090, Average Loss  0.604900, Time  0.235775
2021-09-15 22:23:28.285046 : Epoch  6, Batch     78, Loss  0.610970, Average Loss  0.604908, Time  0.238660
2021-09-15 22:23:28.487880 : Epoch  3, Batch    666, Loss  0.886553, Average Loss  0.870522, Time  0.265947
2021-09-15 22:23:29.798975 : Epoch  6, Batch     79, Loss  0.606200, Average Loss  0.604941, Time  0.236125
2021-09-15 22:23:31.323928 : Epoch  6, Batch     80, Loss  0.599976, Average Loss  0.604906, Time  0.236068
2021-09-15 22:23:31.559655 : Epoch  3, Batch    667, Loss  0.881051, Average Loss  0.870570, Time  0.265785
2021-09-15 22:23:32.847252 : Epoch  6, Batch     81, Loss  0.601015, Average Loss  0.604900, Time  0.236610
2021-09-15 22:23:34.365115 : Epoch  6, Batch     82, Loss  0.596202, Average Loss  0.604814, Time  0.237786
2021-09-15 22:23:34.636842 : Epoch  3, Batch    668, Loss  0.849906, Average Loss  0.870360, Time  0.265191
2021-09-15 22:23:35.886629 : Epoch  6, Batch     83, Loss  0.609074, Average Loss  0.604813, Time  0.235505
2021-09-15 22:23:37.421301 : Epoch  6, Batch     84, Loss  0.601762, Average Loss  0.604826, Time  0.235856
2021-09-15 22:23:37.699032 : Epoch  3, Batch    669, Loss  0.893391, Average Loss  0.870546, Time  0.264748
2021-09-15 22:23:38.937999 : Epoch  6, Batch     85, Loss  0.604777, Average Loss  0.604852, Time  0.235868
2021-09-15 22:23:40.464576 : Epoch  6, Batch     86, Loss  0.594136, Average Loss  0.604821, Time  0.236146
2021-09-15 22:23:40.758278 : Epoch  3, Batch    670, Loss  0.858180, Average Loss  0.870408, Time  0.265435
2021-09-15 22:23:41.988395 : Epoch  6, Batch     87, Loss  0.595276, Average Loss  0.604726, Time  0.235642
2021-09-15 22:23:43.503439 : Epoch  6, Batch     88, Loss  0.607610, Average Loss  0.604752, Time  0.235552
2021-09-15 22:23:43.827633 : Epoch  3, Batch    671, Loss  0.864481, Average Loss  0.870365, Time  0.265447
2021-09-15 22:23:45.031159 : Epoch  6, Batch     89, Loss  0.614400, Average Loss  0.604768, Time  0.236163
2021-09-15 22:23:46.547991 : Epoch  6, Batch     90, Loss  0.611149, Average Loss  0.604845, Time  0.235974
2021-09-15 22:23:46.888232 : Epoch  3, Batch    672, Loss  0.877609, Average Loss  0.870421, Time  0.266793
2021-09-15 22:23:48.064429 : Epoch  6, Batch     91, Loss  0.604015, Average Loss  0.604821, Time  0.236146
2021-09-15 22:23:49.609267 : Epoch  6, Batch     92, Loss  0.608348, Average Loss  0.604870, Time  0.236624
2021-09-15 22:23:49.948686 : Epoch  3, Batch    673, Loss  0.866150, Average Loss  0.870392, Time  0.265449
2021-09-15 22:23:51.124106 : Epoch  6, Batch     93, Loss  0.606977, Average Loss  0.604829, Time  0.236093
2021-09-15 22:23:52.644444 : Epoch  6, Batch     94, Loss  0.604998, Average Loss  0.604839, Time  0.237081
2021-09-15 22:23:53.012881 : Epoch  3, Batch    674, Loss  0.880685, Average Loss  0.870539, Time  0.265853
2021-09-15 22:23:54.155547 : Epoch  6, Batch     95, Loss  0.608417, Average Loss  0.604827, Time  0.236992
2021-09-15 22:23:55.690817 : Epoch  6, Batch     96, Loss  0.613775, Average Loss  0.604885, Time  0.236398
2021-09-15 22:23:56.089921 : Epoch  3, Batch    675, Loss  0.868268, Average Loss  0.870588, Time  0.265589
2021-09-15 22:23:57.205604 : Epoch  6, Batch     97, Loss  0.603348, Average Loss  0.604909, Time  0.235851
2021-09-15 22:23:58.720431 : Epoch  6, Batch     98, Loss  0.594031, Average Loss  0.604791, Time  0.235724
2021-09-15 22:23:59.157835 : Epoch  3, Batch    676, Loss  0.872124, Average Loss  0.870651, Time  0.266597
2021-09-15 22:24:00.234660 : Epoch  6, Batch     99, Loss  0.604961, Average Loss  0.604771, Time  0.235865
2021-09-15 22:24:01.754004 : Epoch  6, Batch    100, Loss  0.622632, Average Loss  0.604886, Time  0.236434
2021-09-15 22:24:02.250122 : Epoch  3, Batch    677, Loss  0.856761, Average Loss  0.870653, Time  0.265660
2021-09-15 22:24:03.262915 : Epoch  6, Batch    101, Loss  0.597320, Average Loss  0.604823, Time  0.235879
2021-09-15 22:24:04.784976 : Epoch  6, Batch    102, Loss  0.607916, Average Loss  0.604881, Time  0.236902
2021-09-15 22:24:05.339154 : Epoch  3, Batch    678, Loss  0.860764, Average Loss  0.870620, Time  0.275439
2021-09-15 22:24:06.299422 : Epoch  6, Batch    103, Loss  0.600394, Average Loss  0.604853, Time  0.236584
2021-09-15 22:24:07.815241 : Epoch  6, Batch    104, Loss  0.620007, Average Loss  0.604861, Time  0.235884
2021-09-15 22:24:08.424875 : Epoch  3, Batch    679, Loss  0.852297, Average Loss  0.870600, Time  0.265733
2021-09-15 22:24:09.329898 : Epoch  6, Batch    105, Loss  0.600185, Average Loss  0.604857, Time  0.236556
2021-09-15 22:24:10.848270 : Epoch  6, Batch    106, Loss  0.608506, Average Loss  0.604906, Time  0.236298
2021-09-15 22:24:11.502552 : Epoch  3, Batch    680, Loss  0.869052, Average Loss  0.870666, Time  0.265731
2021-09-15 22:24:12.366416 : Epoch  6, Batch    107, Loss  0.598852, Average Loss  0.604812, Time  0.236083
2021-09-15 22:24:13.888926 : Epoch  6, Batch    108, Loss  0.615698, Average Loss  0.604878, Time  0.236393
2021-09-15 22:24:14.580227 : Epoch  3, Batch    681, Loss  0.877323, Average Loss  0.870841, Time  0.265828
2021-09-15 22:24:15.415728 : Epoch  6, Batch    109, Loss  0.604733, Average Loss  0.604888, Time  0.235784
2021-09-15 22:24:16.937101 : Epoch  6, Batch    110, Loss  0.606333, Average Loss  0.604927, Time  0.236741
2021-09-15 22:24:17.655520 : Epoch  3, Batch    682, Loss  0.862079, Average Loss  0.870744, Time  0.265750
2021-09-15 22:24:18.462144 : Epoch  6, Batch    111, Loss  0.600257, Average Loss  0.604936, Time  0.236254
2021-09-15 22:24:19.981580 : Epoch  6, Batch    112, Loss  0.593868, Average Loss  0.604912, Time  0.236022
2021-09-15 22:24:20.749560 : Epoch  3, Batch    683, Loss  0.884288, Average Loss  0.870804, Time  0.265981
2021-09-15 22:24:21.501035 : Epoch  6, Batch    113, Loss  0.597276, Average Loss  0.604847, Time  0.235850
2021-09-15 22:24:23.025926 : Epoch  6, Batch    114, Loss  0.594387, Average Loss  0.604802, Time  0.236267
2021-09-15 22:24:23.829684 : Epoch  3, Batch    684, Loss  0.868420, Average Loss  0.870822, Time  0.265979
2021-09-15 22:24:24.540566 : Epoch  6, Batch    115, Loss  0.603275, Average Loss  0.604831, Time  0.237316
2021-09-15 22:24:26.054986 : Epoch  6, Batch    116, Loss  0.610208, Average Loss  0.604830, Time  0.236590
2021-09-15 22:24:26.910419 : Epoch  3, Batch    685, Loss  0.879517, Average Loss  0.870902, Time  0.265932
2021-09-15 22:24:27.576694 : Epoch  6, Batch    117, Loss  0.609042, Average Loss  0.604871, Time  0.237270
2021-09-15 22:24:29.101407 : Epoch  6, Batch    118, Loss  0.592771, Average Loss  0.604787, Time  0.236548
2021-09-15 22:24:29.991996 : Epoch  3, Batch    686, Loss  0.887922, Average Loss  0.871108, Time  0.266220
2021-09-15 22:24:30.636512 : Epoch  6, Batch    119, Loss  0.598669, Average Loss  0.604736, Time  0.238872
2021-09-15 22:24:32.159603 : Epoch  6, Batch    120, Loss  0.602494, Average Loss  0.604700, Time  0.236793
2021-09-15 22:24:33.070425 : Epoch  3, Batch    687, Loss  0.851589, Average Loss  0.870988, Time  0.266712
2021-09-15 22:24:33.681312 : Epoch  6, Batch    121, Loss  0.608256, Average Loss  0.604703, Time  0.236391
2021-09-15 22:24:35.201190 : Epoch  6, Batch    122, Loss  0.598638, Average Loss  0.604626, Time  0.235601
2021-09-15 22:24:36.158465 : Epoch  3, Batch    688, Loss  0.858024, Average Loss  0.870871, Time  0.265085
2021-09-15 22:24:36.715155 : Epoch  6, Batch    123, Loss  0.606011, Average Loss  0.604628, Time  0.236052
2021-09-15 22:24:38.241181 : Epoch  6, Batch    124, Loss  0.596683, Average Loss  0.604535, Time  0.237173
2021-09-15 22:24:39.767224 : Epoch  6, Batch    125, Loss  0.601309, Average Loss  0.604523, Time  0.236058
2021-09-15 22:24:41.290236 : Epoch  6, Batch    126, Loss  0.607063, Average Loss  0.604523, Time  0.235850
2021-09-15 22:24:42.807804 : Epoch  6, Batch    127, Loss  0.604206, Average Loss  0.604498, Time  0.236264
2021-09-15 22:24:44.330915 : Epoch  6, Batch    128, Loss  0.599110, Average Loss  0.604436, Time  0.236877
2021-09-15 22:24:45.839481 : Epoch  6, Batch    129, Loss  0.599060, Average Loss  0.604328, Time  0.240931
2021-09-15 22:24:47.378929 : Epoch  6, Batch    130, Loss  0.612360, Average Loss  0.604378, Time  0.236435
2021-09-15 22:24:48.893264 : Epoch  6, Batch    131, Loss  0.598782, Average Loss  0.604338, Time  0.237359
2021-09-15 22:24:50.400731 : Epoch  6, Batch    132, Loss  0.601573, Average Loss  0.604290, Time  0.235686
2021-09-15 22:24:51.908326 : Epoch  6, Batch    133, Loss  0.600876, Average Loss  0.604305, Time  0.237132
2021-09-15 22:24:53.417962 : Epoch  6, Batch    134, Loss  0.599131, Average Loss  0.604229, Time  0.236519
2021-09-15 22:24:54.927179 : Epoch  6, Batch    135, Loss  0.607129, Average Loss  0.604213, Time  0.236958
2021-09-15 22:24:58.757341 : Epoch  6, Batch    136, Loss  0.596381, Average Loss  0.604176, Time  0.272185
2021-09-15 22:25:00.265994 : Epoch  6, Batch    137, Loss  0.603656, Average Loss  0.604238, Time  0.244304
2021-09-15 22:25:01.783407 : Epoch  6, Batch    138, Loss  0.602225, Average Loss  0.604189, Time  0.235642
2021-09-15 22:25:03.285599 : Epoch  6, Batch    139, Loss  0.618756, Average Loss  0.604275, Time  0.236441
2021-09-15 22:25:04.789693 : Epoch  6, Batch    140, Loss  0.598230, Average Loss  0.604257, Time  0.235948
2021-09-15 22:25:06.294515 : Epoch  6, Batch    141, Loss  0.606955, Average Loss  0.604223, Time  0.235962
2021-09-15 22:25:07.798119 : Epoch  6, Batch    142, Loss  0.621493, Average Loss  0.604310, Time  0.237082
2021-09-15 22:25:09.301961 : Epoch  6, Batch    143, Loss  0.602557, Average Loss  0.604268, Time  0.236113
2021-09-15 22:25:10.814875 : Epoch  6, Batch    144, Loss  0.598941, Average Loss  0.604223, Time  0.239439
2021-09-15 22:25:12.315392 : Epoch  6, Batch    145, Loss  0.608993, Average Loss  0.604233, Time  0.236741
2021-09-15 22:25:13.828999 : Epoch  6, Batch    146, Loss  0.598374, Average Loss  0.604232, Time  0.236897
2021-09-15 22:25:15.343157 : Epoch  6, Batch    147, Loss  0.614918, Average Loss  0.604280, Time  0.236584
2021-09-15 22:25:16.851937 : Epoch  6, Batch    148, Loss  0.604913, Average Loss  0.604260, Time  0.237401
2021-09-15 22:25:18.358879 : Epoch  6, Batch    149, Loss  0.608782, Average Loss  0.604309, Time  0.236182
2021-09-15 22:25:19.860310 : Epoch  6, Batch    150, Loss  0.594847, Average Loss  0.604221, Time  0.236482
2021-09-15 22:25:21.382147 : Epoch  6, Batch    151, Loss  0.603672, Average Loss  0.604246, Time  0.237136
2021-09-15 22:25:22.895209 : Epoch  6, Batch    152, Loss  0.605782, Average Loss  0.604302, Time  0.237144
2021-09-15 22:25:24.400130 : Epoch  6, Batch    153, Loss  0.605967, Average Loss  0.604380, Time  0.235694
2021-09-15 22:25:25.924072 : Epoch  6, Batch    154, Loss  0.603458, Average Loss  0.604336, Time  0.236720
2021-09-15 22:25:27.431214 : Epoch  6, Batch    155, Loss  0.606672, Average Loss  0.604371, Time  0.236431
2021-09-15 22:25:28.942098 : Epoch  6, Batch    156, Loss  0.610047, Average Loss  0.604443, Time  0.236084
2021-09-15 22:25:30.453883 : Epoch  6, Batch    157, Loss  0.597703, Average Loss  0.604365, Time  0.236231
2021-09-15 22:25:31.967834 : Epoch  6, Batch    158, Loss  0.609937, Average Loss  0.604380, Time  0.236021
2021-09-15 22:25:33.480444 : Epoch  6, Batch    159, Loss  0.597465, Average Loss  0.604356, Time  0.235923
2021-09-15 22:25:34.992413 : Epoch  6, Batch    160, Loss  0.604515, Average Loss  0.604397, Time  0.235497
2021-09-15 22:25:36.516423 : Epoch  6, Batch    161, Loss  0.607947, Average Loss  0.604412, Time  0.237155
2021-09-15 22:25:38.028320 : Epoch  6, Batch    162, Loss  0.606104, Average Loss  0.604485, Time  0.236269
2021-09-15 22:25:39.570849 : Epoch  6, Batch    163, Loss  0.601287, Average Loss  0.604472, Time  0.237226
2021-09-15 22:25:41.090039 : Epoch  6, Batch    164, Loss  0.614043, Average Loss  0.604556, Time  0.235842
2021-09-15 22:25:42.598928 : Epoch  6, Batch    165, Loss  0.602409, Average Loss  0.604504, Time  0.236174
2021-09-15 22:26:39.266730 : CheckPoint: Validation Loss  0.00025245, Best Loss  0.00024241
2021-09-15 22:26:40.796243 : Epoch  6, Batch    166, Loss  0.591392, Average Loss  0.604474, Time  0.237690
2021-09-15 22:26:42.316401 : Epoch  6, Batch    167, Loss  0.608228, Average Loss  0.604520, Time  0.235827
2021-09-15 22:26:43.829948 : Epoch  6, Batch    168, Loss  0.599886, Average Loss  0.604458, Time  0.235754
2021-09-15 22:26:45.341399 : Epoch  6, Batch    169, Loss  0.609062, Average Loss  0.604517, Time  0.235569
2021-09-15 22:26:46.854324 : Epoch  6, Batch    170, Loss  0.597922, Average Loss  0.604508, Time  0.236062
2021-09-15 22:26:48.379556 : Epoch  6, Batch    171, Loss  0.615191, Average Loss  0.604617, Time  0.235782
2021-09-15 22:26:49.905389 : Epoch  6, Batch    172, Loss  0.592007, Average Loss  0.604568, Time  0.235864
2021-09-15 22:26:51.425090 : Epoch  6, Batch    173, Loss  0.601374, Average Loss  0.604534, Time  0.236050
2021-09-15 22:26:52.956098 : Epoch  6, Batch    174, Loss  0.600781, Average Loss  0.604548, Time  0.236060
2021-09-15 22:26:54.479703 : Epoch  6, Batch    175, Loss  0.609732, Average Loss  0.604547, Time  0.236843
2021-09-15 22:26:55.988779 : Epoch  6, Batch    176, Loss  0.595546, Average Loss  0.604517, Time  0.237742
2021-09-15 22:26:57.513640 : Epoch  6, Batch    177, Loss  0.590645, Average Loss  0.604392, Time  0.236669
2021-09-15 22:26:59.031481 : Epoch  6, Batch    178, Loss  0.597473, Average Loss  0.604372, Time  0.235894
2021-09-15 22:27:00.539431 : Epoch  6, Batch    179, Loss  0.604795, Average Loss  0.604411, Time  0.235401
2021-09-15 22:27:02.072451 : Epoch  6, Batch    180, Loss  0.593837, Average Loss  0.604325, Time  0.236593
2021-09-15 22:27:03.592022 : Epoch  6, Batch    181, Loss  0.600463, Average Loss  0.604271, Time  0.240644
2021-09-15 22:27:05.120136 : Epoch  6, Batch    182, Loss  0.595470, Average Loss  0.604183, Time  0.238419
2021-09-15 22:27:06.633932 : Epoch  6, Batch    183, Loss  0.602348, Average Loss  0.604213, Time  0.237558
2021-09-15 22:27:08.146909 : Epoch  6, Batch    184, Loss  0.607049, Average Loss  0.604175, Time  0.236718
2021-09-15 22:27:09.685422 : Epoch  6, Batch    185, Loss  0.595998, Average Loss  0.604130, Time  0.236728
2021-09-15 22:27:11.199932 : Epoch  6, Batch    186, Loss  0.608268, Average Loss  0.604141, Time  0.235708
2021-09-15 22:27:12.707539 : Epoch  6, Batch    187, Loss  0.599533, Average Loss  0.604148, Time  0.238801
2021-09-15 22:27:14.221907 : Epoch  6, Batch    188, Loss  0.614866, Average Loss  0.604194, Time  0.235746
2021-09-15 22:27:15.730510 : Epoch  6, Batch    189, Loss  0.603635, Average Loss  0.604172, Time  0.236335
2021-09-15 22:27:17.253423 : Epoch  6, Batch    190, Loss  0.597636, Average Loss  0.604123, Time  0.237701
2021-09-15 22:27:18.762392 : Epoch  6, Batch    191, Loss  0.624133, Average Loss  0.604218, Time  0.236601
2021-09-15 22:27:20.275344 : Epoch  6, Batch    192, Loss  0.602519, Average Loss  0.604165, Time  0.236243
2021-09-15 22:27:21.787189 : Epoch  6, Batch    193, Loss  0.615942, Average Loss  0.604269, Time  0.237164
2021-09-15 22:27:23.317429 : Epoch  6, Batch    194, Loss  0.603195, Average Loss  0.604257, Time  0.236476
2021-09-15 22:27:24.834383 : Epoch  6, Batch    195, Loss  0.597423, Average Loss  0.604240, Time  0.236418
2021-09-15 22:27:26.349055 : Epoch  6, Batch    196, Loss  0.613202, Average Loss  0.604269, Time  0.238194
2021-09-15 22:27:27.868410 : Epoch  6, Batch    197, Loss  0.606160, Average Loss  0.604223, Time  0.236580
2021-09-15 22:27:29.379124 : Epoch  6, Batch    198, Loss  0.604182, Average Loss  0.604237, Time  0.237658
2021-09-15 22:27:30.891728 : Epoch  6, Batch    199, Loss  0.605815, Average Loss  0.604313, Time  0.237276
2021-09-15 22:27:32.408932 : Epoch  6, Batch    200, Loss  0.606331, Average Loss  0.604358, Time  0.237980
2021-09-15 22:27:33.925260 : Epoch  6, Batch    201, Loss  0.604183, Average Loss  0.604354, Time  0.236395
2021-09-15 22:27:35.456697 : Epoch  6, Batch    202, Loss  0.607291, Average Loss  0.604313, Time  0.235553
2021-09-15 22:27:36.967056 : Epoch  6, Batch    203, Loss  0.602409, Average Loss  0.604300, Time  0.236122
2021-09-15 22:27:38.479078 : Epoch  6, Batch    204, Loss  0.593611, Average Loss  0.604209, Time  0.235563
2021-09-15 22:27:39.996409 : Epoch  6, Batch    205, Loss  0.612758, Average Loss  0.604309, Time  0.235743
2021-09-15 22:27:41.510867 : Epoch  6, Batch    206, Loss  0.611402, Average Loss  0.604336, Time  0.235863
2021-09-15 22:27:43.031466 : Epoch  6, Batch    207, Loss  0.612977, Average Loss  0.604361, Time  0.239733
2021-09-15 22:27:44.535244 : Epoch  6, Batch    208, Loss  0.606251, Average Loss  0.604346, Time  0.235750
2021-09-15 22:27:46.051926 : Epoch  6, Batch    209, Loss  0.599221, Average Loss  0.604367, Time  0.236796
2021-09-15 22:27:47.559840 : Epoch  6, Batch    210, Loss  0.603234, Average Loss  0.604373, Time  0.236714
2021-09-15 22:27:49.069431 : Epoch  6, Batch    211, Loss  0.600176, Average Loss  0.604332, Time  0.236279
2021-09-15 22:27:50.587876 : Epoch  6, Batch    212, Loss  0.616329, Average Loss  0.604381, Time  0.235906
2021-09-15 22:27:52.115859 : Epoch  6, Batch    213, Loss  0.603879, Average Loss  0.604359, Time  0.236590
2021-09-15 22:27:53.630045 : Epoch  6, Batch    214, Loss  0.598416, Average Loss  0.604287, Time  0.236011
2021-09-15 22:27:55.137861 : Epoch  6, Batch    215, Loss  0.596870, Average Loss  0.604263, Time  0.235890
2021-09-15 22:27:56.670286 : Epoch  6, Batch    216, Loss  0.605523, Average Loss  0.604310, Time  0.237375
2021-09-15 22:27:58.183655 : Epoch  6, Batch    217, Loss  0.600550, Average Loss  0.604254, Time  0.237195
2021-09-15 22:27:59.693733 : Epoch  6, Batch    218, Loss  0.599483, Average Loss  0.604277, Time  0.235480
2021-09-15 22:28:01.208245 : Epoch  6, Batch    219, Loss  0.604836, Average Loss  0.604316, Time  0.235829
2021-09-15 22:28:02.730019 : Epoch  6, Batch    220, Loss  0.608177, Average Loss  0.604333, Time  0.237226
2021-09-15 22:28:04.247748 : Epoch  6, Batch    221, Loss  0.608372, Average Loss  0.604384, Time  0.236335
2021-09-15 22:28:05.765014 : Epoch  6, Batch    222, Loss  0.605637, Average Loss  0.604386, Time  0.236202
2021-09-15 22:28:07.284776 : Epoch  6, Batch    223, Loss  0.615446, Average Loss  0.604404, Time  0.236718
2021-09-15 22:28:08.802862 : Epoch  6, Batch    224, Loss  0.596149, Average Loss  0.604342, Time  0.236895
2021-09-15 22:28:10.324131 : Epoch  6, Batch    225, Loss  0.616658, Average Loss  0.604376, Time  0.235766
2021-09-15 22:28:11.844226 : Epoch  6, Batch    226, Loss  0.595815, Average Loss  0.604287, Time  0.235810
2021-09-15 22:28:13.359017 : Epoch  6, Batch    227, Loss  0.605485, Average Loss  0.604297, Time  0.237010
2021-09-15 22:28:14.896476 : Epoch  6, Batch    228, Loss  0.609994, Average Loss  0.604334, Time  0.238433
2021-09-15 22:28:16.403231 : Epoch  6, Batch    229, Loss  0.610976, Average Loss  0.604352, Time  0.235490
2021-09-15 22:28:17.912355 : Epoch  6, Batch    230, Loss  0.602688, Average Loss  0.604373, Time  0.236549
2021-09-15 22:28:19.433109 : Epoch  6, Batch    231, Loss  0.600729, Average Loss  0.604314, Time  0.237298
2021-09-15 22:28:20.945548 : Epoch  6, Batch    232, Loss  0.606973, Average Loss  0.604331, Time  0.236307
2021-09-15 22:28:22.461915 : Epoch  6, Batch    233, Loss  0.614220, Average Loss  0.604412, Time  0.235942
2021-09-15 22:28:23.977154 : Epoch  6, Batch    234, Loss  0.604624, Average Loss  0.604431, Time  0.238028
2021-09-15 22:28:25.490866 : Epoch  6, Batch    235, Loss  0.605865, Average Loss  0.604441, Time  0.237200
2021-09-15 22:28:29.325955 : Epoch  6, Batch    236, Loss  0.608326, Average Loss  0.604506, Time  0.264279
2021-09-15 22:28:30.855902 : Epoch  6, Batch    237, Loss  0.607110, Average Loss  0.604528, Time  0.243754
2021-09-15 22:28:32.368372 : Epoch  6, Batch    238, Loss  0.608619, Average Loss  0.604546, Time  0.236237
2021-09-15 22:28:33.875950 : Epoch  6, Batch    239, Loss  0.604607, Average Loss  0.604548, Time  0.235862
2021-09-15 22:28:35.381181 : Epoch  6, Batch    240, Loss  0.597580, Average Loss  0.604503, Time  0.235998
2021-09-15 22:28:36.928202 : Epoch  6, Batch    241, Loss  0.604775, Average Loss  0.604601, Time  0.239989
2021-09-15 22:28:38.433409 : Epoch  6, Batch    242, Loss  0.603620, Average Loss  0.604543, Time  0.235686
2021-09-15 22:28:39.940486 : Epoch  6, Batch    243, Loss  0.604268, Average Loss  0.604506, Time  0.236328
2021-09-15 22:28:41.451460 : Epoch  6, Batch    244, Loss  0.604261, Average Loss  0.604516, Time  0.235688
2021-09-15 22:28:42.961378 : Epoch  6, Batch    245, Loss  0.610032, Average Loss  0.604600, Time  0.236984
2021-09-15 22:28:44.479124 : Epoch  6, Batch    246, Loss  0.599606, Average Loss  0.604539, Time  0.238004
2021-09-15 22:28:45.994444 : Epoch  6, Batch    247, Loss  0.602090, Average Loss  0.604551, Time  0.238576
2021-09-15 22:28:47.506752 : Epoch  6, Batch    248, Loss  0.600240, Average Loss  0.604520, Time  0.236242
2021-09-15 22:28:49.019415 : Epoch  6, Batch    249, Loss  0.590779, Average Loss  0.604418, Time  0.237112
2021-09-15 22:28:50.536751 : Epoch  6, Batch    250, Loss  0.599158, Average Loss  0.604380, Time  0.236637
2021-09-15 22:28:52.054642 : Epoch  6, Batch    251, Loss  0.604311, Average Loss  0.604391, Time  0.236762
2021-09-15 22:28:53.564126 : Epoch  6, Batch    252, Loss  0.607893, Average Loss  0.604439, Time  0.236324
2021-09-15 22:28:55.074404 : Epoch  6, Batch    253, Loss  0.608917, Average Loss  0.604452, Time  0.236027
2021-09-15 22:28:56.592905 : Epoch  6, Batch    254, Loss  0.610790, Average Loss  0.604500, Time  0.235662
2021-09-15 22:28:58.104403 : Epoch  6, Batch    255, Loss  0.605236, Average Loss  0.604546, Time  0.235499
2021-09-15 22:28:59.630127 : Epoch  6, Batch    256, Loss  0.599709, Average Loss  0.604600, Time  0.236312
2021-09-15 22:29:01.148070 : Epoch  6, Batch    257, Loss  0.609581, Average Loss  0.604621, Time  0.238909
2021-09-15 22:29:02.680223 : Epoch  6, Batch    258, Loss  0.601659, Average Loss  0.604627, Time  0.236180
2021-09-15 22:29:04.199379 : Epoch  6, Batch    259, Loss  0.593380, Average Loss  0.604582, Time  0.236682
2021-09-15 22:29:05.712999 : Epoch  6, Batch    260, Loss  0.595630, Average Loss  0.604510, Time  0.236756
2021-09-15 22:29:07.230247 : Epoch  6, Batch    261, Loss  0.601446, Average Loss  0.604442, Time  0.237300
2021-09-15 22:29:08.751044 : Epoch  6, Batch    262, Loss  0.594019, Average Loss  0.604311, Time  0.235859
2021-09-15 22:29:10.271258 : Epoch  6, Batch    263, Loss  0.591191, Average Loss  0.604212, Time  0.235995
2021-09-15 22:29:11.801006 : Epoch  6, Batch    264, Loss  0.610405, Average Loss  0.604218, Time  0.239504
2021-09-15 22:29:13.323104 : Epoch  6, Batch    265, Loss  0.606713, Average Loss  0.604214, Time  0.236138
2021-09-15 22:29:22.697038 : CheckPoint: Validation Loss  0.00030863, Best Loss  0.00029429
2021-09-15 22:29:25.775325 : Epoch  3, Batch    689, Loss  0.855527, Average Loss  0.870805, Time  0.266722
2021-09-15 22:29:28.868317 : Epoch  3, Batch    690, Loss  0.864442, Average Loss  0.870780, Time  0.274560
2021-09-15 22:29:31.959874 : Epoch  3, Batch    691, Loss  0.857781, Average Loss  0.870686, Time  0.266016
2021-09-15 22:29:35.062283 : Epoch  3, Batch    692, Loss  0.875630, Average Loss  0.870667, Time  0.267709
2021-09-15 22:29:38.143966 : Epoch  3, Batch    693, Loss  0.871196, Average Loss  0.870646, Time  0.265932
2021-09-15 22:29:41.230269 : Epoch  3, Batch    694, Loss  0.864612, Average Loss  0.870526, Time  0.265894
2021-09-15 22:29:44.322698 : Epoch  3, Batch    695, Loss  0.869725, Average Loss  0.870580, Time  0.266572
2021-09-15 22:29:47.403322 : Epoch  3, Batch    696, Loss  0.880709, Average Loss  0.870523, Time  0.265671
2021-09-15 22:29:50.486840 : Epoch  3, Batch    697, Loss  0.875133, Average Loss  0.870550, Time  0.265961
2021-09-15 22:29:53.578057 : Epoch  3, Batch    698, Loss  0.861320, Average Loss  0.870527, Time  0.267204
2021-09-15 22:29:56.663790 : Epoch  3, Batch    699, Loss  0.878659, Average Loss  0.870624, Time  0.265720
2021-09-15 22:29:59.761531 : Epoch  3, Batch    700, Loss  0.891504, Average Loss  0.870702, Time  0.265283
2021-09-15 22:30:02.858898 : Epoch  3, Batch    701, Loss  0.872453, Average Loss  0.870746, Time  0.266091
2021-09-15 22:30:05.949224 : Epoch  3, Batch    702, Loss  0.860318, Average Loss  0.870669, Time  0.265116
2021-09-15 22:30:09.039810 : Epoch  3, Batch    703, Loss  0.878196, Average Loss  0.870634, Time  0.265019
2021-09-15 22:30:09.733744 : CheckPoint: Validation Loss  0.00025497, Best Loss  0.00024241
2021-09-15 22:30:11.253630 : Epoch  6, Batch    266, Loss  0.614708, Average Loss  0.604277, Time  0.236004
2021-09-15 22:30:12.120449 : Epoch  3, Batch    704, Loss  0.888026, Average Loss  0.870713, Time  0.265521
2021-09-15 22:30:12.772100 : Epoch  6, Batch    267, Loss  0.593216, Average Loss  0.604206, Time  0.237550
2021-09-15 22:30:14.293295 : Epoch  6, Batch    268, Loss  0.602217, Average Loss  0.604250, Time  0.236791
2021-09-15 22:30:15.216445 : Epoch  3, Batch    705, Loss  0.860457, Average Loss  0.870555, Time  0.278960
2021-09-15 22:30:15.810423 : Epoch  6, Batch    269, Loss  0.597940, Average Loss  0.604205, Time  0.236494
2021-09-15 22:30:17.327238 : Epoch  6, Batch    270, Loss  0.613812, Average Loss  0.604231, Time  0.236614
2021-09-15 22:30:18.301230 : Epoch  3, Batch    706, Loss  0.878366, Average Loss  0.870555, Time  0.266096
2021-09-15 22:30:18.850865 : Epoch  6, Batch    271, Loss  0.606209, Average Loss  0.604211, Time  0.238415
2021-09-15 22:30:20.378939 : Epoch  6, Batch    272, Loss  0.588623, Average Loss  0.604142, Time  0.236916
2021-09-15 22:30:21.389178 : Epoch  3, Batch    707, Loss  0.873975, Average Loss  0.870554, Time  0.265517
2021-09-15 22:30:21.901394 : Epoch  6, Batch    273, Loss  0.616579, Average Loss  0.604162, Time  0.235751
2021-09-15 22:30:23.405902 : Epoch  6, Batch    274, Loss  0.588930, Average Loss  0.604072, Time  0.235586
2021-09-15 22:30:24.462497 : Epoch  3, Batch    708, Loss  0.865214, Average Loss  0.870445, Time  0.265183
2021-09-15 22:30:24.933307 : Epoch  6, Batch    275, Loss  0.594360, Average Loss  0.604010, Time  0.236501
2021-09-15 22:30:26.447040 : Epoch  6, Batch    276, Loss  0.615135, Average Loss  0.604082, Time  0.236173
2021-09-15 22:30:27.543845 : Epoch  3, Batch    709, Loss  0.861176, Average Loss  0.870388, Time  0.265602
2021-09-15 22:30:27.964092 : Epoch  6, Batch    277, Loss  0.596113, Average Loss  0.603982, Time  0.237411
2021-09-15 22:30:29.483625 : Epoch  6, Batch    278, Loss  0.609262, Average Loss  0.603974, Time  0.236014
2021-09-15 22:30:30.627862 : Epoch  3, Batch    710, Loss  0.872839, Average Loss  0.870447, Time  0.265222
2021-09-15 22:30:31.011967 : Epoch  6, Batch    279, Loss  0.609189, Average Loss  0.603989, Time  0.237012
2021-09-15 22:30:32.524935 : Epoch  6, Batch    280, Loss  0.608539, Average Loss  0.604032, Time  0.236699
2021-09-15 22:30:33.729147 : Epoch  3, Batch    711, Loss  0.875294, Average Loss  0.870420, Time  0.265371
2021-09-15 22:30:34.047320 : Epoch  6, Batch    281, Loss  0.599590, Average Loss  0.604025, Time  0.237442
2021-09-15 22:30:35.565877 : Epoch  6, Batch    282, Loss  0.612154, Average Loss  0.604104, Time  0.237520
2021-09-15 22:30:36.814341 : Epoch  3, Batch    712, Loss  0.879775, Average Loss  0.870380, Time  0.267168
2021-09-15 22:30:37.089441 : Epoch  6, Batch    283, Loss  0.613587, Average Loss  0.604127, Time  0.235798
2021-09-15 22:30:38.600150 : Epoch  6, Batch    284, Loss  0.612121, Average Loss  0.604179, Time  0.236149
2021-09-15 22:30:39.908281 : Epoch  3, Batch    713, Loss  0.856490, Average Loss  0.870241, Time  0.265658
2021-09-15 22:30:40.142413 : Epoch  6, Batch    285, Loss  0.598737, Average Loss  0.604148, Time  0.237222
2021-09-15 22:30:41.660020 : Epoch  6, Batch    286, Loss  0.605200, Average Loss  0.604204, Time  0.235935
2021-09-15 22:30:43.016988 : Epoch  3, Batch    714, Loss  0.849128, Average Loss  0.870203, Time  0.267004
2021-09-15 22:30:43.188223 : Epoch  6, Batch    287, Loss  0.599362, Average Loss  0.604224, Time  0.236084
2021-09-15 22:30:44.718855 : Epoch  6, Batch    288, Loss  0.608744, Average Loss  0.604230, Time  0.236022
2021-09-15 22:30:46.103489 : Epoch  3, Batch    715, Loss  0.877989, Average Loss  0.870327, Time  0.265530
2021-09-15 22:30:46.237541 : Epoch  6, Batch    289, Loss  0.603077, Average Loss  0.604173, Time  0.236010
2021-09-15 22:30:47.758192 : Epoch  6, Batch    290, Loss  0.600168, Average Loss  0.604118, Time  0.236985
2021-09-15 22:30:49.181478 : Epoch  3, Batch    716, Loss  0.845432, Average Loss  0.870328, Time  0.265305
2021-09-15 22:30:49.270021 : Epoch  6, Batch    291, Loss  0.604569, Average Loss  0.604121, Time  0.235939
2021-09-15 22:30:50.791118 : Epoch  6, Batch    292, Loss  0.602891, Average Loss  0.604094, Time  0.235955
2021-09-15 22:30:52.279068 : Epoch  3, Batch    717, Loss  0.877299, Average Loss  0.870496, Time  0.265820
2021-09-15 22:30:52.310277 : Epoch  6, Batch    293, Loss  0.605577, Average Loss  0.604087, Time  0.237020
2021-09-15 22:30:53.829418 : Epoch  6, Batch    294, Loss  0.607903, Average Loss  0.604101, Time  0.237144
2021-09-15 22:30:55.355246 : Epoch  6, Batch    295, Loss  0.606251, Average Loss  0.604091, Time  0.235421
2021-09-15 22:30:55.363596 : Epoch  3, Batch    718, Loss  0.874768, Average Loss  0.870562, Time  0.265666
2021-09-15 22:30:56.876537 : Epoch  6, Batch    296, Loss  0.604868, Average Loss  0.604046, Time  0.237819
2021-09-15 22:30:58.402173 : Epoch  6, Batch    297, Loss  0.604154, Average Loss  0.604050, Time  0.236945
2021-09-15 22:30:58.475912 : Epoch  3, Batch    719, Loss  0.876463, Average Loss  0.870591, Time  0.265521
2021-09-15 22:30:59.926391 : Epoch  6, Batch    298, Loss  0.592114, Average Loss  0.604040, Time  0.235832
2021-09-15 22:31:01.446933 : Epoch  6, Batch    299, Loss  0.610105, Average Loss  0.604066, Time  0.236021
2021-09-15 22:31:01.573267 : Epoch  3, Batch    720, Loss  0.888196, Average Loss  0.870690, Time  0.277683
2021-09-15 22:31:02.959995 : Epoch  6, Batch    300, Loss  0.615558, Average Loss  0.604031, Time  0.237038
2021-09-15 22:31:04.482977 : Epoch  6, Batch    301, Loss  0.617776, Average Loss  0.604133, Time  0.236447
2021-09-15 22:31:04.642927 : Epoch  3, Batch    721, Loss  0.862789, Average Loss  0.870534, Time  0.265315
2021-09-15 22:31:06.010174 : Epoch  6, Batch    302, Loss  0.599253, Average Loss  0.604090, Time  0.236960
2021-09-15 22:31:07.527395 : Epoch  6, Batch    303, Loss  0.599233, Average Loss  0.604084, Time  0.236554
2021-09-15 22:31:07.718840 : Epoch  3, Batch    722, Loss  0.875629, Average Loss  0.870531, Time  0.265517
2021-09-15 22:31:09.053892 : Epoch  6, Batch    304, Loss  0.597771, Average Loss  0.603973, Time  0.237778
2021-09-15 22:31:10.570410 : Epoch  6, Batch    305, Loss  0.603887, Average Loss  0.603991, Time  0.236542
2021-09-15 22:31:10.789302 : Epoch  3, Batch    723, Loss  0.842369, Average Loss  0.870471, Time  0.265329
2021-09-15 22:31:12.083333 : Epoch  6, Batch    306, Loss  0.611709, Average Loss  0.604007, Time  0.236577
2021-09-15 22:31:13.592377 : Epoch  6, Batch    307, Loss  0.605236, Average Loss  0.604039, Time  0.237574
2021-09-15 22:31:13.871122 : Epoch  3, Batch    724, Loss  0.866289, Average Loss  0.870424, Time  0.265292
2021-09-15 22:31:15.113152 : Epoch  6, Batch    308, Loss  0.593693, Average Loss  0.603929, Time  0.235925
2021-09-15 22:31:16.625610 : Epoch  6, Batch    309, Loss  0.613800, Average Loss  0.603975, Time  0.238134
2021-09-15 22:31:16.948448 : Epoch  3, Batch    725, Loss  0.848479, Average Loss  0.870213, Time  0.265507
2021-09-15 22:31:18.136428 : Epoch  6, Batch    310, Loss  0.606292, Average Loss  0.603974, Time  0.235946
2021-09-15 22:31:19.644226 : Epoch  6, Batch    311, Loss  0.616644, Average Loss  0.604056, Time  0.236090
2021-09-15 22:31:20.018853 : Epoch  3, Batch    726, Loss  0.890192, Average Loss  0.870366, Time  0.265330
2021-09-15 22:31:21.153088 : Epoch  6, Batch    312, Loss  0.607253, Average Loss  0.604123, Time  0.236373
2021-09-15 22:31:22.666599 : Epoch  6, Batch    313, Loss  0.607890, Average Loss  0.604176, Time  0.236298
2021-09-15 22:31:23.100942 : Epoch  3, Batch    727, Loss  0.880287, Average Loss  0.870415, Time  0.266282
2021-09-15 22:31:24.179177 : Epoch  6, Batch    314, Loss  0.598148, Average Loss  0.604195, Time  0.235965
2021-09-15 22:31:25.701107 : Epoch  6, Batch    315, Loss  0.601786, Average Loss  0.604188, Time  0.238040
2021-09-15 22:31:26.183141 : Epoch  3, Batch    728, Loss  0.875901, Average Loss  0.870503, Time  0.265538
2021-09-15 22:31:27.225909 : Epoch  6, Batch    316, Loss  0.594578, Average Loss  0.604109, Time  0.238743
2021-09-15 22:31:28.742435 : Epoch  6, Batch    317, Loss  0.599487, Average Loss  0.604062, Time  0.236122
2021-09-15 22:31:29.256207 : Epoch  3, Batch    729, Loss  0.856794, Average Loss  0.870382, Time  0.265625
2021-09-15 22:31:30.272884 : Epoch  6, Batch    318, Loss  0.603583, Average Loss  0.604116, Time  0.236435
2021-09-15 22:31:31.787608 : Epoch  6, Batch    319, Loss  0.587467, Average Loss  0.604060, Time  0.236097
2021-09-15 22:31:32.339904 : Epoch  3, Batch    730, Loss  0.861948, Average Loss  0.870416, Time  0.265442
2021-09-15 22:31:33.306038 : Epoch  6, Batch    320, Loss  0.599319, Average Loss  0.604044, Time  0.236691
2021-09-15 22:31:34.824147 : Epoch  6, Batch    321, Loss  0.602051, Average Loss  0.604013, Time  0.236990
2021-09-15 22:31:35.422829 : Epoch  3, Batch    731, Loss  0.875598, Average Loss  0.870442, Time  0.265841
2021-09-15 22:31:36.346427 : Epoch  6, Batch    322, Loss  0.598199, Average Loss  0.604011, Time  0.237843
2021-09-15 22:31:37.878123 : Epoch  6, Batch    323, Loss  0.603692, Average Loss  0.603999, Time  0.236105
2021-09-15 22:31:38.521876 : Epoch  3, Batch    732, Loss  0.871645, Average Loss  0.870511, Time  0.266600
2021-09-15 22:31:39.393100 : Epoch  6, Batch    324, Loss  0.608796, Average Loss  0.604060, Time  0.235687
2021-09-15 22:31:40.906763 : Epoch  6, Batch    325, Loss  0.600993, Average Loss  0.604058, Time  0.236157
2021-09-15 22:31:41.591026 : Epoch  3, Batch    733, Loss  0.888986, Average Loss  0.870525, Time  0.265816
2021-09-15 22:31:42.430351 : Epoch  6, Batch    326, Loss  0.596811, Average Loss  0.604007, Time  0.237626
2021-09-15 22:31:43.952672 : Epoch  6, Batch    327, Loss  0.603682, Average Loss  0.604004, Time  0.236117
2021-09-15 22:31:44.679974 : Epoch  3, Batch    734, Loss  0.874933, Average Loss  0.870532, Time  0.266631
2021-09-15 22:31:45.466636 : Epoch  6, Batch    328, Loss  0.609353, Average Loss  0.604055, Time  0.235786
2021-09-15 22:31:46.984862 : Epoch  6, Batch    329, Loss  0.598868, Average Loss  0.604054, Time  0.236226
2021-09-15 22:31:47.765799 : Epoch  3, Batch    735, Loss  0.856120, Average Loss  0.870415, Time  0.271911
2021-09-15 22:31:48.496666 : Epoch  6, Batch    330, Loss  0.613633, Average Loss  0.604061, Time  0.235491
2021-09-15 22:31:50.014609 : Epoch  6, Batch    331, Loss  0.608628, Average Loss  0.604110, Time  0.235501
2021-09-15 22:31:50.843933 : Epoch  3, Batch    736, Loss  0.831309, Average Loss  0.870225, Time  0.266528
2021-09-15 22:31:51.533453 : Epoch  6, Batch    332, Loss  0.601754, Average Loss  0.604111, Time  0.237501
2021-09-15 22:31:53.055450 : Epoch  6, Batch    333, Loss  0.603404, Average Loss  0.604124, Time  0.241569
2021-09-15 22:31:53.926605 : Epoch  3, Batch    737, Loss  0.876549, Average Loss  0.870262, Time  0.265231
2021-09-15 22:31:54.575730 : Epoch  6, Batch    334, Loss  0.588847, Average Loss  0.604072, Time  0.235438
2021-09-15 22:31:56.095727 : Epoch  6, Batch    335, Loss  0.601202, Average Loss  0.604042, Time  0.237428
2021-09-15 22:31:57.008827 : Epoch  3, Batch    738, Loss  0.861810, Average Loss  0.870273, Time  0.265976
2021-09-15 22:31:59.964772 : Epoch  6, Batch    336, Loss  0.599029, Average Loss  0.604056, Time  0.272219
2021-09-15 22:32:00.085968 : Epoch  3, Batch    739, Loss  0.877411, Average Loss  0.870325, Time  0.265070
2021-09-15 22:32:01.490397 : Epoch  6, Batch    337, Loss  0.612049, Average Loss  0.604098, Time  0.251947
2021-09-15 22:32:03.000637 : Epoch  6, Batch    338, Loss  0.597690, Average Loss  0.604075, Time  0.240509
2021-09-15 22:32:03.160257 : Epoch  3, Batch    740, Loss  0.858195, Average Loss  0.870275, Time  0.265381
2021-09-15 22:32:04.514460 : Epoch  6, Batch    339, Loss  0.610422, Average Loss  0.604033, Time  0.236102
2021-09-15 22:32:06.026862 : Epoch  6, Batch    340, Loss  0.614360, Average Loss  0.604114, Time  0.236305
2021-09-15 22:32:06.231847 : Epoch  3, Batch    741, Loss  0.871774, Average Loss  0.870230, Time  0.265119
2021-09-15 22:32:07.533005 : Epoch  6, Batch    341, Loss  0.608778, Average Loss  0.604123, Time  0.238164
2021-09-15 22:32:09.040867 : Epoch  6, Batch    342, Loss  0.603452, Average Loss  0.604033, Time  0.235998
2021-09-15 22:32:09.306835 : Epoch  3, Batch    742, Loss  0.864343, Average Loss  0.870233, Time  0.264822
2021-09-15 22:32:10.553427 : Epoch  6, Batch    343, Loss  0.608221, Average Loss  0.604061, Time  0.235864
2021-09-15 22:32:12.078417 : Epoch  6, Batch    344, Loss  0.608469, Average Loss  0.604109, Time  0.236554
2021-09-15 22:32:12.380874 : Epoch  3, Batch    743, Loss  0.891041, Average Loss  0.870324, Time  0.265030
2021-09-15 22:32:13.588012 : Epoch  6, Batch    345, Loss  0.594063, Average Loss  0.604034, Time  0.236497
2021-09-15 22:32:15.089412 : Epoch  6, Batch    346, Loss  0.604044, Average Loss  0.604063, Time  0.235738
2021-09-15 22:32:15.459146 : Epoch  3, Batch    744, Loss  0.867937, Average Loss  0.870359, Time  0.265342
2021-09-15 22:32:16.590406 : Epoch  6, Batch    347, Loss  0.598017, Average Loss  0.603978, Time  0.236667
2021-09-15 22:32:18.100141 : Epoch  6, Batch    348, Loss  0.596763, Average Loss  0.603937, Time  0.236895
2021-09-15 22:32:18.538373 : Epoch  3, Batch    745, Loss  0.891947, Average Loss  0.870480, Time  0.265618
2021-09-15 22:32:19.621232 : Epoch  6, Batch    349, Loss  0.593635, Average Loss  0.603862, Time  0.236656
2021-09-15 22:32:21.140317 : Epoch  6, Batch    350, Loss  0.605920, Average Loss  0.603917, Time  0.235976
2021-09-15 22:32:21.616437 : Epoch  3, Batch    746, Loss  0.849159, Average Loss  0.870385, Time  0.265422
2021-09-15 22:32:22.655621 : Epoch  6, Batch    351, Loss  0.600973, Average Loss  0.603903, Time  0.236263
2021-09-15 22:32:24.177443 : Epoch  6, Batch    352, Loss  0.596438, Average Loss  0.603857, Time  0.236030
2021-09-15 22:32:24.685660 : Epoch  3, Batch    747, Loss  0.904988, Average Loss  0.870498, Time  0.265457
2021-09-15 22:32:25.716172 : Epoch  6, Batch    353, Loss  0.602219, Average Loss  0.603838, Time  0.236310
2021-09-15 22:32:27.236425 : Epoch  6, Batch    354, Loss  0.599583, Average Loss  0.603819, Time  0.235369
2021-09-15 22:32:27.768863 : Epoch  3, Batch    748, Loss  0.848436, Average Loss  0.870317, Time  0.266243
2021-09-15 22:32:28.745150 : Epoch  6, Batch    355, Loss  0.596622, Average Loss  0.603768, Time  0.236568
2021-09-15 22:32:30.261357 : Epoch  6, Batch    356, Loss  0.600255, Average Loss  0.603719, Time  0.236588
2021-09-15 22:32:30.852209 : Epoch  3, Batch    749, Loss  0.858273, Average Loss  0.870276, Time  0.266144
2021-09-15 22:32:31.783387 : Epoch  6, Batch    357, Loss  0.611467, Average Loss  0.603788, Time  0.236573
2021-09-15 22:32:33.304802 : Epoch  6, Batch    358, Loss  0.609707, Average Loss  0.603787, Time  0.236732
2021-09-15 22:32:33.970100 : Epoch  3, Batch    750, Loss  0.869396, Average Loss  0.870235, Time  0.277448
2021-09-15 22:32:34.825438 : Epoch  6, Batch    359, Loss  0.602466, Average Loss  0.603812, Time  0.235720
2021-09-15 22:32:36.341644 : Epoch  6, Batch    360, Loss  0.595319, Average Loss  0.603766, Time  0.237837
2021-09-15 22:32:37.067877 : Epoch  3, Batch    751, Loss  0.865547, Average Loss  0.870144, Time  0.268037
2021-09-15 22:32:37.871716 : Epoch  6, Batch    361, Loss  0.606973, Average Loss  0.603761, Time  0.236959
2021-09-15 22:32:39.391087 : Epoch  6, Batch    362, Loss  0.603496, Average Loss  0.603748, Time  0.235605
2021-09-15 22:32:40.150945 : Epoch  3, Batch    752, Loss  0.841094, Average Loss  0.869971, Time  0.265493
2021-09-15 22:32:40.916589 : Epoch  6, Batch    363, Loss  0.601302, Average Loss  0.603748, Time  0.236427
2021-09-15 22:32:42.440855 : Epoch  6, Batch    364, Loss  0.603210, Average Loss  0.603694, Time  0.235788
2021-09-15 22:32:43.227144 : Epoch  3, Batch    753, Loss  0.887349, Average Loss  0.870123, Time  0.266189
2021-09-15 22:32:43.957557 : Epoch  6, Batch    365, Loss  0.612406, Average Loss  0.603744, Time  0.236160
2021-09-15 22:32:46.302013 : Epoch  3, Batch    754, Loss  0.852607, Average Loss  0.870104, Time  0.265581
2021-09-15 22:32:49.400765 : Epoch  3, Batch    755, Loss  0.882793, Average Loss  0.870247, Time  0.265935
2021-09-15 22:32:52.482350 : Epoch  3, Batch    756, Loss  0.889626, Average Loss  0.870371, Time  0.265890
2021-09-15 22:32:55.556004 : Epoch  3, Batch    757, Loss  0.850508, Average Loss  0.870192, Time  0.264739
2021-09-15 22:32:58.637947 : Epoch  3, Batch    758, Loss  0.878796, Average Loss  0.870208, Time  0.265596
2021-09-15 22:33:01.713116 : Epoch  3, Batch    759, Loss  0.877401, Average Loss  0.870301, Time  0.265681
2021-09-15 22:33:04.799039 : Epoch  3, Batch    760, Loss  0.860770, Average Loss  0.870207, Time  0.265553
2021-09-15 22:33:07.880987 : Epoch  3, Batch    761, Loss  0.860572, Average Loss  0.870085, Time  0.265377
2021-09-15 22:33:10.961599 : Epoch  3, Batch    762, Loss  0.860369, Average Loss  0.869945, Time  0.265031
2021-09-15 22:33:14.058133 : Epoch  3, Batch    763, Loss  0.865241, Average Loss  0.869857, Time  0.265704
2021-09-15 22:33:17.143213 : Epoch  3, Batch    764, Loss  0.857607, Average Loss  0.869760, Time  0.265120
2021-09-15 22:33:20.240258 : Epoch  3, Batch    765, Loss  0.859904, Average Loss  0.869779, Time  0.278265
2021-09-15 22:33:23.325379 : Epoch  3, Batch    766, Loss  0.879615, Average Loss  0.869812, Time  0.267450
2021-09-15 22:33:26.397140 : Epoch  3, Batch    767, Loss  0.874449, Average Loss  0.869765, Time  0.265766
2021-09-15 22:33:29.482812 : Epoch  3, Batch    768, Loss  0.878480, Average Loss  0.869755, Time  0.266124
2021-09-15 22:33:32.562946 : Epoch  3, Batch    769, Loss  0.874711, Average Loss  0.869764, Time  0.265911
2021-09-15 22:33:35.673341 : Epoch  3, Batch    770, Loss  0.863595, Average Loss  0.869583, Time  0.285619
2021-09-15 22:33:38.761818 : Epoch  3, Batch    771, Loss  0.869054, Average Loss  0.869513, Time  0.266789
2021-09-15 22:33:40.608078 : CheckPoint: Validation Loss  0.00026233, Best Loss  0.00024241
2021-09-15 22:33:41.851458 : Epoch  3, Batch    772, Loss  0.874868, Average Loss  0.869578, Time  0.265581
2021-09-15 22:33:42.132540 : Epoch  6, Batch    366, Loss  0.598082, Average Loss  0.603778, Time  0.239602
2021-09-15 22:33:43.642404 : Epoch  6, Batch    367, Loss  0.606444, Average Loss  0.603769, Time  0.235997
2021-09-15 22:33:44.921910 : Epoch  3, Batch    773, Loss  0.861371, Average Loss  0.869558, Time  0.265932
2021-09-15 22:33:45.167787 : Epoch  6, Batch    368, Loss  0.597453, Average Loss  0.603756, Time  0.235541
2021-09-15 22:33:46.684393 : Epoch  6, Batch    369, Loss  0.605939, Average Loss  0.603741, Time  0.237111
2021-09-15 22:33:48.007257 : Epoch  3, Batch    774, Loss  0.858502, Average Loss  0.869448, Time  0.268056
2021-09-15 22:33:48.202630 : Epoch  6, Batch    370, Loss  0.607819, Average Loss  0.603790, Time  0.236192
2021-09-15 22:33:49.703473 : Epoch  6, Batch    371, Loss  0.600874, Average Loss  0.603719, Time  0.235614
2021-09-15 22:33:51.103802 : Epoch  3, Batch    775, Loss  0.854805, Average Loss  0.869288, Time  0.266098
2021-09-15 22:33:51.225352 : Epoch  6, Batch    372, Loss  0.608763, Average Loss  0.603803, Time  0.236351
2021-09-15 22:33:52.733984 : Epoch  6, Batch    373, Loss  0.608813, Average Loss  0.603840, Time  0.235824
2021-09-15 22:33:54.201696 : Epoch  3, Batch    776, Loss  0.867596, Average Loss  0.869328, Time  0.265483
2021-09-15 22:33:54.253026 : Epoch  6, Batch    374, Loss  0.597563, Average Loss  0.603824, Time  0.235992
2021-09-15 22:33:55.772383 : Epoch  6, Batch    375, Loss  0.596391, Average Loss  0.603757, Time  0.235659
2021-09-15 22:33:57.289668 : Epoch  3, Batch    777, Loss  0.868588, Average Loss  0.869301, Time  0.265646
2021-09-15 22:33:57.292420 : Epoch  6, Batch    376, Loss  0.615036, Average Loss  0.603854, Time  0.235965
2021-09-15 22:33:58.849597 : Epoch  6, Batch    377, Loss  0.598383, Average Loss  0.603893, Time  0.235645
2021-09-15 22:34:00.362808 : Epoch  6, Batch    378, Loss  0.602777, Average Loss  0.603920, Time  0.235684
2021-09-15 22:34:00.374866 : Epoch  3, Batch    778, Loss  0.880391, Average Loss  0.869411, Time  0.265711
2021-09-15 22:34:01.875938 : Epoch  6, Batch    379, Loss  0.601307, Average Loss  0.603902, Time  0.235835
2021-09-15 22:34:03.402002 : Epoch  6, Batch    380, Loss  0.584861, Average Loss  0.603857, Time  0.236724
2021-09-15 22:34:03.470848 : Epoch  3, Batch    779, Loss  0.856420, Average Loss  0.869225, Time  0.265412
2021-09-15 22:34:04.934021 : Epoch  6, Batch    381, Loss  0.602370, Average Loss  0.603867, Time  0.236086
2021-09-15 22:34:06.455380 : Epoch  6, Batch    382, Loss  0.606440, Average Loss  0.603922, Time  0.236040
2021-09-15 22:34:06.572193 : Epoch  3, Batch    780, Loss  0.869064, Average Loss  0.869158, Time  0.276146
2021-09-15 22:34:07.962035 : Epoch  6, Batch    383, Loss  0.611840, Average Loss  0.603969, Time  0.236575
2021-09-15 22:34:09.487610 : Epoch  6, Batch    384, Loss  0.600134, Average Loss  0.603935, Time  0.235744
2021-09-15 22:34:09.646893 : Epoch  3, Batch    781, Loss  0.874992, Average Loss  0.869017, Time  0.265129
2021-09-15 22:34:11.009972 : Epoch  6, Batch    385, Loss  0.606894, Average Loss  0.603989, Time  0.236173
2021-09-15 22:34:12.532133 : Epoch  6, Batch    386, Loss  0.606778, Average Loss  0.603982, Time  0.238248
2021-09-15 22:34:12.725133 : Epoch  3, Batch    782, Loss  0.850543, Average Loss  0.868973, Time  0.265622
2021-09-15 22:34:14.043106 : Epoch  6, Batch    387, Loss  0.596162, Average Loss  0.603965, Time  0.235506
2021-09-15 22:34:15.557623 : Epoch  6, Batch    388, Loss  0.609132, Average Loss  0.603936, Time  0.238199
2021-09-15 22:34:15.797393 : Epoch  3, Batch    783, Loss  0.853920, Average Loss  0.868859, Time  0.265774
2021-09-15 22:34:17.076434 : Epoch  6, Batch    389, Loss  0.601349, Average Loss  0.603925, Time  0.236608
2021-09-15 22:34:18.588685 : Epoch  6, Batch    390, Loss  0.612547, Average Loss  0.603999, Time  0.236801
2021-09-15 22:34:18.866420 : Epoch  3, Batch    784, Loss  0.898620, Average Loss  0.869043, Time  0.266353
2021-09-15 22:34:20.108673 : Epoch  6, Batch    391, Loss  0.606799, Average Loss  0.603913, Time  0.235580
2021-09-15 22:34:21.630278 : Epoch  6, Batch    392, Loss  0.599965, Average Loss  0.603900, Time  0.236360
2021-09-15 22:34:21.941390 : Epoch  3, Batch    785, Loss  0.866996, Average Loss  0.869006, Time  0.266008
2021-09-15 22:34:23.148410 : Epoch  6, Batch    393, Loss  0.603128, Average Loss  0.603836, Time  0.235692
2021-09-15 22:34:24.680134 : Epoch  6, Batch    394, Loss  0.624879, Average Loss  0.603944, Time  0.245428
2021-09-15 22:34:25.011250 : Epoch  3, Batch    786, Loss  0.857461, Average Loss  0.868864, Time  0.265637
2021-09-15 22:34:26.196383 : Epoch  6, Batch    395, Loss  0.601141, Average Loss  0.603963, Time  0.235878
2021-09-15 22:34:27.702276 : Epoch  6, Batch    396, Loss  0.610359, Average Loss  0.603948, Time  0.236327
2021-09-15 22:34:28.082478 : Epoch  3, Batch    787, Loss  0.851479, Average Loss  0.868815, Time  0.266242
2021-09-15 22:34:29.222416 : Epoch  6, Batch    397, Loss  0.599357, Average Loss  0.603914, Time  0.237176
2021-09-15 22:34:30.738797 : Epoch  6, Batch    398, Loss  0.599589, Average Loss  0.603891, Time  0.236812
2021-09-15 22:34:31.187342 : Epoch  3, Batch    788, Loss  0.852046, Average Loss  0.868808, Time  0.265670
2021-09-15 22:34:32.254366 : Epoch  6, Batch    399, Loss  0.605845, Average Loss  0.603892, Time  0.236788
2021-09-15 22:34:33.776536 : Epoch  6, Batch    400, Loss  0.603967, Average Loss  0.603880, Time  0.239233
2021-09-15 22:34:35.296735 : Epoch  6, Batch    401, Loss  0.609185, Average Loss  0.603905, Time  0.239497
2021-09-15 22:34:36.815804 : Epoch  6, Batch    402, Loss  0.614022, Average Loss  0.603938, Time  0.236837
2021-09-15 22:34:38.326901 : Epoch  6, Batch    403, Loss  0.597190, Average Loss  0.603912, Time  0.236648
2021-09-15 22:34:39.838281 : Epoch  6, Batch    404, Loss  0.611378, Average Loss  0.604001, Time  0.235752
2021-09-15 22:34:41.359733 : Epoch  6, Batch    405, Loss  0.610181, Average Loss  0.603988, Time  0.235761
2021-09-15 22:34:42.867189 : Epoch  6, Batch    406, Loss  0.604281, Average Loss  0.603953, Time  0.235708
2021-09-15 22:34:44.395367 : Epoch  6, Batch    407, Loss  0.609959, Average Loss  0.603938, Time  0.237202
2021-09-15 22:34:45.908964 : Epoch  6, Batch    408, Loss  0.604151, Average Loss  0.603927, Time  0.235642
2021-09-15 22:34:47.424173 : Epoch  6, Batch    409, Loss  0.609468, Average Loss  0.603978, Time  0.237265
2021-09-15 22:34:48.930861 : Epoch  6, Batch    410, Loss  0.600023, Average Loss  0.603962, Time  0.235812
2021-09-15 22:34:50.447687 : Epoch  6, Batch    411, Loss  0.600056, Average Loss  0.603962, Time  0.235776
2021-09-15 22:34:51.966948 : Epoch  6, Batch    412, Loss  0.601835, Average Loss  0.603889, Time  0.236203
2021-09-15 22:34:53.483377 : Epoch  6, Batch    413, Loss  0.606105, Average Loss  0.603900, Time  0.235892
2021-09-15 22:34:55.004054 : Epoch  6, Batch    414, Loss  0.613608, Average Loss  0.603976, Time  0.236236
2021-09-15 22:34:56.542405 : Epoch  6, Batch    415, Loss  0.593636, Average Loss  0.603960, Time  0.238109
2021-09-15 22:34:58.053605 : Epoch  6, Batch    416, Loss  0.599845, Average Loss  0.603932, Time  0.235590
2021-09-15 22:34:59.573028 : Epoch  6, Batch    417, Loss  0.601332, Average Loss  0.603936, Time  0.235858
2021-09-15 22:35:01.082746 : Epoch  6, Batch    418, Loss  0.597165, Average Loss  0.603924, Time  0.238086
2021-09-15 22:35:02.601723 : Epoch  6, Batch    419, Loss  0.588305, Average Loss  0.603841, Time  0.237058
2021-09-15 22:35:04.124652 : Epoch  6, Batch    420, Loss  0.600085, Average Loss  0.603801, Time  0.237650
2021-09-15 22:35:05.662582 : Epoch  6, Batch    421, Loss  0.601294, Average Loss  0.603766, Time  0.238076
2021-09-15 22:35:07.172970 : Epoch  6, Batch    422, Loss  0.605843, Average Loss  0.603767, Time  0.236063
2021-09-15 22:35:08.715621 : Epoch  6, Batch    423, Loss  0.596696, Average Loss  0.603673, Time  0.237177
2021-09-15 22:35:10.253411 : Epoch  6, Batch    424, Loss  0.614198, Average Loss  0.603763, Time  0.237500
2021-09-15 22:35:11.790957 : Epoch  6, Batch    425, Loss  0.600378, Average Loss  0.603682, Time  0.236082
2021-09-15 22:35:13.311449 : Epoch  6, Batch    426, Loss  0.612625, Average Loss  0.603766, Time  0.236380
2021-09-15 22:35:14.841398 : Epoch  6, Batch    427, Loss  0.605963, Average Loss  0.603768, Time  0.238562
2021-09-15 22:35:16.361131 : Epoch  6, Batch    428, Loss  0.607270, Average Loss  0.603755, Time  0.237185
2021-09-15 22:35:17.881412 : Epoch  6, Batch    429, Loss  0.595892, Average Loss  0.603679, Time  0.235947
2021-09-15 22:35:19.399841 : Epoch  6, Batch    430, Loss  0.605182, Average Loss  0.603692, Time  0.235820
2021-09-15 22:35:20.920461 : Epoch  6, Batch    431, Loss  0.604676, Average Loss  0.603711, Time  0.238039
2021-09-15 22:35:22.434002 : Epoch  6, Batch    432, Loss  0.604517, Average Loss  0.603699, Time  0.236518
2021-09-15 22:35:23.955881 : Epoch  6, Batch    433, Loss  0.595899, Average Loss  0.603607, Time  0.235935
2021-09-15 22:35:25.481913 : Epoch  6, Batch    434, Loss  0.598087, Average Loss  0.603575, Time  0.236420
2021-09-15 22:35:26.997649 : Epoch  6, Batch    435, Loss  0.604386, Average Loss  0.603567, Time  0.237061
2021-09-15 22:35:30.897047 : Epoch  6, Batch    436, Loss  0.609182, Average Loss  0.603572, Time  0.267856
2021-09-15 22:35:32.417417 : Epoch  6, Batch    437, Loss  0.613302, Average Loss  0.603603, Time  0.240382
2021-09-15 22:35:33.952125 : Epoch  6, Batch    438, Loss  0.618073, Average Loss  0.603650, Time  0.236264
2021-09-15 22:35:35.497655 : Epoch  6, Batch    439, Loss  0.608647, Average Loss  0.603670, Time  0.235455
2021-09-15 22:35:37.009527 : Epoch  6, Batch    440, Loss  0.619598, Average Loss  0.603780, Time  0.239059
2021-09-15 22:35:38.508386 : Epoch  6, Batch    441, Loss  0.602479, Average Loss  0.603769, Time  0.235425
2021-09-15 22:35:40.025531 : Epoch  6, Batch    442, Loss  0.605782, Average Loss  0.603780, Time  0.237099
2021-09-15 22:35:41.529416 : Epoch  6, Batch    443, Loss  0.604789, Average Loss  0.603782, Time  0.236749
2021-09-15 22:35:43.037885 : Epoch  6, Batch    444, Loss  0.610868, Average Loss  0.603815, Time  0.236331
2021-09-15 22:35:44.535918 : Epoch  6, Batch    445, Loss  0.608303, Average Loss  0.603807, Time  0.236305
2021-09-15 22:35:46.176291 : Epoch  6, Batch    446, Loss  0.604215, Average Loss  0.603830, Time  0.237903
2021-09-15 22:35:47.683479 : Epoch  6, Batch    447, Loss  0.605712, Average Loss  0.603848, Time  0.235540
2021-09-15 22:35:49.186611 : Epoch  6, Batch    448, Loss  0.599498, Average Loss  0.603844, Time  0.235986
2021-09-15 22:35:50.693248 : Epoch  6, Batch    449, Loss  0.592098, Average Loss  0.603851, Time  0.236866
2021-09-15 22:35:52.201194 : Epoch  6, Batch    450, Loss  0.607300, Average Loss  0.603891, Time  0.235446
2021-09-15 22:35:53.712440 : Epoch  6, Batch    451, Loss  0.606360, Average Loss  0.603902, Time  0.236700
2021-09-15 22:35:55.227418 : Epoch  6, Batch    452, Loss  0.598871, Average Loss  0.603856, Time  0.235748
2021-09-15 22:35:56.734198 : Epoch  6, Batch    453, Loss  0.604440, Average Loss  0.603834, Time  0.235541
2021-09-15 22:35:58.248625 : Epoch  6, Batch    454, Loss  0.596596, Average Loss  0.603763, Time  0.236112
2021-09-15 22:35:59.750128 : Epoch  6, Batch    455, Loss  0.601838, Average Loss  0.603746, Time  0.236053
2021-09-15 22:36:01.254417 : Epoch  6, Batch    456, Loss  0.599357, Average Loss  0.603744, Time  0.235512
2021-09-15 22:36:02.770085 : Epoch  6, Batch    457, Loss  0.602513, Average Loss  0.603709, Time  0.237083
2021-09-15 22:36:04.278235 : Epoch  6, Batch    458, Loss  0.595746, Average Loss  0.603679, Time  0.236698
2021-09-15 22:36:05.802424 : Epoch  6, Batch    459, Loss  0.601513, Average Loss  0.603720, Time  0.238455
2021-09-15 22:36:07.312611 : Epoch  6, Batch    460, Loss  0.603490, Average Loss  0.603759, Time  0.238230
2021-09-15 22:36:08.823941 : Epoch  6, Batch    461, Loss  0.611830, Average Loss  0.603811, Time  0.235476
2021-09-15 22:36:10.335403 : Epoch  6, Batch    462, Loss  0.600893, Average Loss  0.603846, Time  0.237329
2021-09-15 22:36:11.851163 : Epoch  6, Batch    463, Loss  0.602531, Average Loss  0.603902, Time  0.236316
2021-09-15 22:36:13.365445 : Epoch  6, Batch    464, Loss  0.601101, Average Loss  0.603856, Time  0.237706
2021-09-15 22:36:14.874819 : Epoch  6, Batch    465, Loss  0.610424, Average Loss  0.603874, Time  0.236884
2021-09-15 22:37:11.656749 : CheckPoint: Validation Loss  0.00024885, Best Loss  0.00024241
2021-09-15 22:37:13.203559 : Epoch  6, Batch    466, Loss  0.619928, Average Loss  0.603900, Time  0.255280
2021-09-15 22:37:14.733963 : Epoch  6, Batch    467, Loss  0.604932, Average Loss  0.603959, Time  0.240628
2021-09-15 22:37:16.267292 : Epoch  6, Batch    468, Loss  0.611264, Average Loss  0.604004, Time  0.236953
2021-09-15 22:37:17.788681 : Epoch  6, Batch    469, Loss  0.606223, Average Loss  0.604046, Time  0.236399
2021-09-15 22:37:19.309404 : Epoch  6, Batch    470, Loss  0.592935, Average Loss  0.603941, Time  0.236482
2021-09-15 22:37:20.824719 : Epoch  6, Batch    471, Loss  0.614885, Average Loss  0.603985, Time  0.237213
2021-09-15 22:37:22.344390 : Epoch  6, Batch    472, Loss  0.600272, Average Loss  0.604043, Time  0.235805
2021-09-15 22:37:23.869251 : Epoch  6, Batch    473, Loss  0.606396, Average Loss  0.603992, Time  0.235720
2021-09-15 22:37:25.414113 : Epoch  6, Batch    474, Loss  0.587520, Average Loss  0.603985, Time  0.236448
2021-09-15 22:37:26.943027 : Epoch  6, Batch    475, Loss  0.601977, Average Loss  0.604023, Time  0.236172
2021-09-15 22:37:28.462416 : Epoch  6, Batch    476, Loss  0.605639, Average Loss  0.603976, Time  0.235650
2021-09-15 22:37:30.004863 : Epoch  6, Batch    477, Loss  0.603513, Average Loss  0.604013, Time  0.236529
2021-09-15 22:37:31.528132 : Epoch  6, Batch    478, Loss  0.596799, Average Loss  0.603950, Time  0.235676
2021-09-15 22:37:33.045419 : Epoch  6, Batch    479, Loss  0.605584, Average Loss  0.603932, Time  0.235977
2021-09-15 22:37:34.566019 : Epoch  6, Batch    480, Loss  0.597499, Average Loss  0.603877, Time  0.236625
2021-09-15 22:37:36.090399 : Epoch  6, Batch    481, Loss  0.594490, Average Loss  0.603852, Time  0.236365
2021-09-15 22:37:37.614403 : Epoch  6, Batch    482, Loss  0.606515, Average Loss  0.603823, Time  0.237811
2021-09-15 22:37:39.141380 : Epoch  6, Batch    483, Loss  0.607676, Average Loss  0.603794, Time  0.236088
2021-09-15 22:37:40.659265 : Epoch  6, Batch    484, Loss  0.591544, Average Loss  0.603691, Time  0.235923
2021-09-15 22:37:42.186201 : Epoch  6, Batch    485, Loss  0.605571, Average Loss  0.603725, Time  0.236073
2021-09-15 22:37:43.711995 : Epoch  6, Batch    486, Loss  0.606640, Average Loss  0.603732, Time  0.235953
2021-09-15 22:37:45.230668 : Epoch  6, Batch    487, Loss  0.596851, Average Loss  0.603720, Time  0.237178
2021-09-15 22:37:46.759299 : Epoch  6, Batch    488, Loss  0.608072, Average Loss  0.603716, Time  0.235987
2021-09-15 22:37:48.278432 : Epoch  6, Batch    489, Loss  0.608227, Average Loss  0.603742, Time  0.235667
2021-09-15 22:37:49.799856 : Epoch  6, Batch    490, Loss  0.599132, Average Loss  0.603737, Time  0.236172
2021-09-15 22:37:51.318452 : Epoch  6, Batch    491, Loss  0.607778, Average Loss  0.603753, Time  0.236141
2021-09-15 22:37:52.844086 : Epoch  6, Batch    492, Loss  0.587394, Average Loss  0.603676, Time  0.237787
2021-09-15 22:37:54.361643 : Epoch  6, Batch    493, Loss  0.608472, Average Loss  0.603690, Time  0.236037
2021-09-15 22:37:55.880892 : Epoch  6, Batch    494, Loss  0.609124, Average Loss  0.603696, Time  0.235750
2021-09-15 22:37:57.393565 : Epoch  6, Batch    495, Loss  0.599302, Average Loss  0.603661, Time  0.235837
2021-09-15 22:37:58.916251 : Epoch  6, Batch    496, Loss  0.603266, Average Loss  0.603653, Time  0.235867
2021-09-15 22:38:00.447613 : Epoch  6, Batch    497, Loss  0.606477, Average Loss  0.603665, Time  0.236760
2021-09-15 22:38:01.995064 : Epoch  6, Batch    498, Loss  0.609832, Average Loss  0.603754, Time  0.238840
2021-09-15 22:38:03.514091 : Epoch  6, Batch    499, Loss  0.603255, Average Loss  0.603719, Time  0.236205
2021-09-15 22:38:05.030173 : Epoch  6, Batch    500, Loss  0.616382, Average Loss  0.603723, Time  0.236089
2021-09-15 22:38:06.555890 : Epoch  6, Batch    501, Loss  0.613187, Average Loss  0.603700, Time  0.235989
2021-09-15 22:38:08.083118 : Epoch  6, Batch    502, Loss  0.606042, Average Loss  0.603734, Time  0.236658
2021-09-15 22:38:09.608159 : Epoch  6, Batch    503, Loss  0.606950, Average Loss  0.603773, Time  0.237361
2021-09-15 22:38:11.123683 : Epoch  6, Batch    504, Loss  0.594946, Average Loss  0.603759, Time  0.235525
2021-09-15 22:38:12.647015 : Epoch  6, Batch    505, Loss  0.609450, Average Loss  0.603787, Time  0.238099
2021-09-15 22:38:14.164417 : Epoch  6, Batch    506, Loss  0.602464, Average Loss  0.603740, Time  0.237183
2021-09-15 22:38:15.679677 : Epoch  6, Batch    507, Loss  0.602432, Average Loss  0.603726, Time  0.235691
2021-09-15 22:38:17.209404 : Epoch  6, Batch    508, Loss  0.616917, Average Loss  0.603843, Time  0.236151
2021-09-15 22:38:18.728546 : Epoch  6, Batch    509, Loss  0.607053, Average Loss  0.603809, Time  0.235664
2021-09-15 22:38:20.242827 : Epoch  6, Batch    510, Loss  0.605836, Average Loss  0.603807, Time  0.236535
2021-09-15 22:38:21.751310 : Epoch  6, Batch    511, Loss  0.606779, Average Loss  0.603757, Time  0.235552
2021-09-15 22:38:23.275742 : Epoch  6, Batch    512, Loss  0.595801, Average Loss  0.603700, Time  0.237891
2021-09-15 22:38:24.799973 : Epoch  6, Batch    513, Loss  0.602611, Average Loss  0.603674, Time  0.236502
2021-09-15 22:38:26.321182 : Epoch  6, Batch    514, Loss  0.604244, Average Loss  0.603704, Time  0.236107
2021-09-15 22:38:27.833817 : Epoch  6, Batch    515, Loss  0.595893, Average Loss  0.603675, Time  0.236542
2021-09-15 22:38:29.359214 : Epoch  6, Batch    516, Loss  0.605097, Average Loss  0.603727, Time  0.236114
2021-09-15 22:38:30.873074 : Epoch  6, Batch    517, Loss  0.600978, Average Loss  0.603735, Time  0.236239
2021-09-15 22:38:32.401988 : Epoch  6, Batch    518, Loss  0.605421, Average Loss  0.603744, Time  0.251086
2021-09-15 22:38:33.930504 : Epoch  6, Batch    519, Loss  0.598231, Average Loss  0.603798, Time  0.241920
2021-09-15 22:38:35.444647 : Epoch  6, Batch    520, Loss  0.616463, Average Loss  0.603883, Time  0.238078
2021-09-15 22:38:36.964416 : Epoch  6, Batch    521, Loss  0.593366, Average Loss  0.603840, Time  0.236945
2021-09-15 22:38:38.493055 : Epoch  6, Batch    522, Loss  0.590103, Average Loss  0.603799, Time  0.239115
2021-09-15 22:38:40.011709 : Epoch  6, Batch    523, Loss  0.591018, Average Loss  0.603736, Time  0.237000
2021-09-15 22:38:41.531240 : Epoch  6, Batch    524, Loss  0.597532, Average Loss  0.603680, Time  0.237678
2021-09-15 22:38:43.051407 : Epoch  6, Batch    525, Loss  0.596997, Average Loss  0.603660, Time  0.235601
2021-09-15 22:38:44.572426 : Epoch  6, Batch    526, Loss  0.611582, Average Loss  0.603734, Time  0.238488
2021-09-15 22:38:46.125378 : Epoch  6, Batch    527, Loss  0.603596, Average Loss  0.603733, Time  0.253444
2021-09-15 22:38:47.660059 : Epoch  6, Batch    528, Loss  0.597327, Average Loss  0.603673, Time  0.236171
2021-09-15 22:38:49.186094 : Epoch  6, Batch    529, Loss  0.611990, Average Loss  0.603739, Time  0.239032
2021-09-15 22:38:50.706041 : Epoch  6, Batch    530, Loss  0.604073, Average Loss  0.603691, Time  0.236315
2021-09-15 22:38:52.227307 : Epoch  6, Batch    531, Loss  0.599579, Average Loss  0.603646, Time  0.237416
2021-09-15 22:38:53.748453 : Epoch  6, Batch    532, Loss  0.602600, Average Loss  0.603650, Time  0.236108
2021-09-15 22:38:55.287027 : Epoch  6, Batch    533, Loss  0.601862, Average Loss  0.603642, Time  0.236294
2021-09-15 22:38:56.810944 : Epoch  6, Batch    534, Loss  0.612133, Average Loss  0.603759, Time  0.236134
2021-09-15 22:38:58.323780 : Epoch  6, Batch    535, Loss  0.592283, Average Loss  0.603714, Time  0.238308
2021-09-15 22:39:02.218831 : Epoch  6, Batch    536, Loss  0.608838, Average Loss  0.603763, Time  0.268843
2021-09-15 22:39:03.749018 : Epoch  6, Batch    537, Loss  0.600556, Average Loss  0.603706, Time  0.242522
2021-09-15 22:39:05.252911 : Epoch  6, Batch    538, Loss  0.607051, Average Loss  0.603752, Time  0.235866
2021-09-15 22:39:06.762340 : Epoch  6, Batch    539, Loss  0.595540, Average Loss  0.603678, Time  0.236744
2021-09-15 22:39:08.276894 : Epoch  6, Batch    540, Loss  0.615788, Average Loss  0.603685, Time  0.236560
2021-09-15 22:39:09.789163 : Epoch  6, Batch    541, Loss  0.600675, Average Loss  0.603645, Time  0.236930
2021-09-15 22:39:11.308821 : Epoch  6, Batch    542, Loss  0.593063, Average Loss  0.603593, Time  0.236881
2021-09-15 22:39:12.831419 : Epoch  6, Batch    543, Loss  0.604323, Average Loss  0.603573, Time  0.237670
2021-09-15 22:39:14.346420 : Epoch  6, Batch    544, Loss  0.602049, Average Loss  0.603541, Time  0.238270
2021-09-15 22:39:15.855434 : Epoch  6, Batch    545, Loss  0.605538, Average Loss  0.603598, Time  0.235620
2021-09-15 22:39:17.363034 : Epoch  6, Batch    546, Loss  0.598484, Average Loss  0.603571, Time  0.236142
2021-09-15 22:39:17.735002 : CheckPoint: Validation Loss  0.00031451, Best Loss  0.00029429
2021-09-15 22:39:18.869749 : Epoch  6, Batch    547, Loss  0.604744, Average Loss  0.603604, Time  0.236285
2021-09-15 22:39:20.383092 : Epoch  6, Batch    548, Loss  0.596906, Average Loss  0.603605, Time  0.236889
2021-09-15 22:39:20.787994 : Epoch  3, Batch    789, Loss  0.858387, Average Loss  0.868718, Time  0.267276
2021-09-15 22:39:21.886888 : Epoch  6, Batch    549, Loss  0.606669, Average Loss  0.603670, Time  0.235970
2021-09-15 22:39:23.394020 : Epoch  6, Batch    550, Loss  0.606297, Average Loss  0.603672, Time  0.235936
2021-09-15 22:39:23.844598 : Epoch  3, Batch    790, Loss  0.898990, Average Loss  0.868922, Time  0.265817
2021-09-15 22:39:24.908099 : Epoch  6, Batch    551, Loss  0.596875, Average Loss  0.603652, Time  0.236822
2021-09-15 22:39:26.426243 : Epoch  6, Batch    552, Loss  0.609331, Average Loss  0.603716, Time  0.236619
2021-09-15 22:39:26.929536 : Epoch  3, Batch    791, Loss  0.853823, Average Loss  0.869009, Time  0.278046
2021-09-15 22:39:27.942871 : Epoch  6, Batch    553, Loss  0.602493, Average Loss  0.603717, Time  0.236659
2021-09-15 22:39:29.457727 : Epoch  6, Batch    554, Loss  0.601730, Average Loss  0.603728, Time  0.236387
2021-09-15 22:39:29.990033 : Epoch  3, Batch    792, Loss  0.862878, Average Loss  0.869091, Time  0.266842
2021-09-15 22:39:30.976315 : Epoch  6, Batch    555, Loss  0.587094, Average Loss  0.603680, Time  0.236603
2021-09-15 22:39:32.495425 : Epoch  6, Batch    556, Loss  0.603873, Average Loss  0.603699, Time  0.235572
2021-09-15 22:39:33.059976 : Epoch  3, Batch    793, Loss  0.863062, Average Loss  0.869086, Time  0.267202
2021-09-15 22:39:34.007942 : Epoch  6, Batch    557, Loss  0.606545, Average Loss  0.603674, Time  0.235559
2021-09-15 22:39:35.519677 : Epoch  6, Batch    558, Loss  0.607461, Average Loss  0.603663, Time  0.236455
2021-09-15 22:39:36.124210 : Epoch  3, Batch    794, Loss  0.874997, Average Loss  0.869163, Time  0.265267
2021-09-15 22:39:37.031667 : Epoch  6, Batch    559, Loss  0.605331, Average Loss  0.603677, Time  0.237082
2021-09-15 22:39:38.540375 : Epoch  6, Batch    560, Loss  0.594452, Average Loss  0.603673, Time  0.235907
2021-09-15 22:39:39.192425 : Epoch  3, Batch    795, Loss  0.868749, Average Loss  0.869161, Time  0.265481
2021-09-15 22:39:40.061617 : Epoch  6, Batch    561, Loss  0.583039, Average Loss  0.603553, Time  0.235718
2021-09-15 22:39:41.574872 : Epoch  6, Batch    562, Loss  0.611690, Average Loss  0.603594, Time  0.235771
2021-09-15 22:39:42.253944 : Epoch  3, Batch    796, Loss  0.864934, Average Loss  0.869025, Time  0.265504
2021-09-15 22:39:43.089005 : Epoch  6, Batch    563, Loss  0.613499, Average Loss  0.603655, Time  0.235741
2021-09-15 22:39:44.600891 : Epoch  6, Batch    564, Loss  0.602090, Average Loss  0.603649, Time  0.235871
2021-09-15 22:39:45.312973 : Epoch  3, Batch    797, Loss  0.868839, Average Loss  0.868946, Time  0.265671
2021-09-15 22:39:46.120237 : Epoch  6, Batch    565, Loss  0.610099, Average Loss  0.603638, Time  0.236140
2021-09-15 22:39:48.374226 : Epoch  3, Batch    798, Loss  0.861588, Average Loss  0.868931, Time  0.267352
2021-09-15 22:39:51.445280 : Epoch  3, Batch    799, Loss  0.855692, Average Loss  0.868715, Time  0.265882
2021-09-15 22:39:54.503077 : Epoch  3, Batch    800, Loss  0.856064, Average Loss  0.868556, Time  0.265483
2021-09-15 22:39:57.573523 : Epoch  3, Batch    801, Loss  0.878028, Average Loss  0.868420, Time  0.265715
2021-09-15 22:40:00.626981 : Epoch  3, Batch    802, Loss  0.857696, Average Loss  0.868392, Time  0.265213
2021-09-15 22:40:03.689039 : Epoch  3, Batch    803, Loss  0.861828, Average Loss  0.868353, Time  0.265344
2021-09-15 22:40:06.758453 : Epoch  3, Batch    804, Loss  0.868832, Average Loss  0.868395, Time  0.265627
2021-09-15 22:40:09.819027 : Epoch  3, Batch    805, Loss  0.852005, Average Loss  0.868302, Time  0.266222
2021-09-15 22:40:12.902967 : Epoch  3, Batch    806, Loss  0.867299, Average Loss  0.868207, Time  0.277557
2021-09-15 22:40:15.954933 : Epoch  3, Batch    807, Loss  0.879136, Average Loss  0.868320, Time  0.265629
2021-09-15 22:40:19.029943 : Epoch  3, Batch    808, Loss  0.869325, Average Loss  0.868108, Time  0.266769
2021-09-15 22:40:22.095882 : Epoch  3, Batch    809, Loss  0.858908, Average Loss  0.868082, Time  0.265790
2021-09-15 22:40:25.162067 : Epoch  3, Batch    810, Loss  0.870476, Average Loss  0.868024, Time  0.265533
2021-09-15 22:40:28.223229 : Epoch  3, Batch    811, Loss  0.869661, Average Loss  0.868091, Time  0.265562
2021-09-15 22:40:31.287933 : Epoch  3, Batch    812, Loss  0.860322, Average Loss  0.867966, Time  0.265303
2021-09-15 22:40:34.348447 : Epoch  3, Batch    813, Loss  0.869902, Average Loss  0.868067, Time  0.265564
2021-09-15 22:40:37.405410 : Epoch  3, Batch    814, Loss  0.868009, Average Loss  0.868125, Time  0.265237
2021-09-15 22:40:40.454910 : Epoch  3, Batch    815, Loss  0.857292, Average Loss  0.868101, Time  0.265115
2021-09-15 22:40:42.677550 : CheckPoint: Validation Loss  0.00025330, Best Loss  0.00024241
2021-09-15 22:40:43.511202 : Epoch  3, Batch    816, Loss  0.883799, Average Loss  0.868156, Time  0.265685
2021-09-15 22:40:44.207179 : Epoch  6, Batch    566, Loss  0.607996, Average Loss  0.603687, Time  0.236763
2021-09-15 22:40:45.722353 : Epoch  6, Batch    567, Loss  0.608679, Average Loss  0.603699, Time  0.235865
2021-09-15 22:40:46.579918 : Epoch  3, Batch    817, Loss  0.866330, Average Loss  0.868213, Time  0.265414
2021-09-15 22:40:47.251420 : Epoch  6, Batch    568, Loss  0.587208, Average Loss  0.603647, Time  0.239309
2021-09-15 22:40:48.775838 : Epoch  6, Batch    569, Loss  0.606685, Average Loss  0.603651, Time  0.236001
2021-09-15 22:40:49.636823 : Epoch  3, Batch    818, Loss  0.863503, Average Loss  0.868275, Time  0.265929
2021-09-15 22:40:50.305424 : Epoch  6, Batch    570, Loss  0.600679, Average Loss  0.603615, Time  0.237482
2021-09-15 22:40:51.826957 : Epoch  6, Batch    571, Loss  0.610393, Average Loss  0.603663, Time  0.236335
2021-09-15 22:40:52.694785 : Epoch  3, Batch    819, Loss  0.851655, Average Loss  0.868116, Time  0.265264
2021-09-15 22:40:53.335106 : Epoch  6, Batch    572, Loss  0.610167, Average Loss  0.603670, Time  0.236308
2021-09-15 22:40:54.859387 : Epoch  6, Batch    573, Loss  0.609396, Average Loss  0.603673, Time  0.236418
2021-09-15 22:40:55.770136 : Epoch  3, Batch    820, Loss  0.872942, Average Loss  0.868119, Time  0.265328
2021-09-15 22:40:56.374405 : Epoch  6, Batch    574, Loss  0.608006, Average Loss  0.603725, Time  0.235650
2021-09-15 22:40:57.894088 : Epoch  6, Batch    575, Loss  0.607365, Average Loss  0.603780, Time  0.235854
2021-09-15 22:40:58.840450 : Epoch  3, Batch    821, Loss  0.876769, Average Loss  0.868210, Time  0.277533
2021-09-15 22:40:59.407106 : Epoch  6, Batch    576, Loss  0.599869, Average Loss  0.603704, Time  0.235600
2021-09-15 22:41:00.940062 : Epoch  6, Batch    577, Loss  0.603531, Average Loss  0.603730, Time  0.237066
2021-09-15 22:41:01.900023 : Epoch  3, Batch    822, Loss  0.862382, Average Loss  0.868235, Time  0.266613
2021-09-15 22:41:02.465637 : Epoch  6, Batch    578, Loss  0.602615, Average Loss  0.603729, Time  0.235734
2021-09-15 22:41:03.982253 : Epoch  6, Batch    579, Loss  0.604417, Average Loss  0.603745, Time  0.235755
2021-09-15 22:41:04.953331 : Epoch  3, Batch    823, Loss  0.867961, Average Loss  0.868255, Time  0.265496
2021-09-15 22:41:05.491426 : Epoch  6, Batch    580, Loss  0.599546, Average Loss  0.603818, Time  0.235306
2021-09-15 22:41:07.011717 : Epoch  6, Batch    581, Loss  0.592004, Average Loss  0.603766, Time  0.235502
2021-09-15 22:41:08.014455 : Epoch  3, Batch    824, Loss  0.871685, Average Loss  0.868246, Time  0.265638
2021-09-15 22:41:08.524660 : Epoch  6, Batch    582, Loss  0.601454, Average Loss  0.603741, Time  0.236032
2021-09-15 22:41:10.019221 : Epoch  6, Batch    583, Loss  0.614754, Average Loss  0.603756, Time  0.235649
2021-09-15 22:41:11.069031 : Epoch  3, Batch    825, Loss  0.877167, Average Loss  0.868339, Time  0.265629
2021-09-15 22:41:11.553161 : Epoch  6, Batch    584, Loss  0.610744, Average Loss  0.603809, Time  0.235904
2021-09-15 22:41:13.056635 : Epoch  6, Batch    585, Loss  0.602648, Average Loss  0.603788, Time  0.236069
2021-09-15 22:41:14.125144 : Epoch  3, Batch    826, Loss  0.864796, Average Loss  0.868249, Time  0.266582
2021-09-15 22:41:14.566096 : Epoch  6, Batch    586, Loss  0.592164, Average Loss  0.603715, Time  0.236872
2021-09-15 22:41:16.079220 : Epoch  6, Batch    587, Loss  0.607990, Average Loss  0.603774, Time  0.236065
2021-09-15 22:41:17.181919 : Epoch  3, Batch    827, Loss  0.875510, Average Loss  0.868354, Time  0.265684
2021-09-15 22:41:17.595028 : Epoch  6, Batch    588, Loss  0.611972, Average Loss  0.603788, Time  0.236141
2021-09-15 22:41:19.090899 : Epoch  6, Batch    589, Loss  0.592936, Average Loss  0.603746, Time  0.235629
2021-09-15 22:41:20.251184 : Epoch  3, Batch    828, Loss  0.873224, Average Loss  0.868468, Time  0.265844
2021-09-15 22:41:20.612043 : Epoch  6, Batch    590, Loss  0.603789, Average Loss  0.603702, Time  0.236005
2021-09-15 22:41:22.117542 : Epoch  6, Batch    591, Loss  0.603053, Average Loss  0.603683, Time  0.237727
2021-09-15 22:41:23.312938 : Epoch  3, Batch    829, Loss  0.863253, Average Loss  0.868350, Time  0.265201
2021-09-15 22:41:23.630941 : Epoch  6, Batch    592, Loss  0.598467, Average Loss  0.603676, Time  0.236596
2021-09-15 22:41:25.134438 : Epoch  6, Batch    593, Loss  0.597165, Average Loss  0.603646, Time  0.235780
2021-09-15 22:41:26.389012 : Epoch  3, Batch    830, Loss  0.879975, Average Loss  0.868379, Time  0.265833
2021-09-15 22:41:26.661455 : Epoch  6, Batch    594, Loss  0.598160, Average Loss  0.603513, Time  0.236452
2021-09-15 22:41:28.166423 : Epoch  6, Batch    595, Loss  0.607815, Average Loss  0.603546, Time  0.235471
2021-09-15 22:41:29.447955 : Epoch  3, Batch    831, Loss  0.874286, Average Loss  0.868435, Time  0.264624
2021-09-15 22:41:29.683007 : Epoch  6, Batch    596, Loss  0.601473, Average Loss  0.603501, Time  0.235597
2021-09-15 22:41:31.189693 : Epoch  6, Batch    597, Loss  0.587369, Average Loss  0.603441, Time  0.237095
2021-09-15 22:41:32.511781 : Epoch  3, Batch    832, Loss  0.878522, Average Loss  0.868448, Time  0.265412
2021-09-15 22:41:32.713952 : Epoch  6, Batch    598, Loss  0.603174, Average Loss  0.603459, Time  0.236611
2021-09-15 22:41:34.213997 : Epoch  6, Batch    599, Loss  0.601831, Average Loss  0.603439, Time  0.235734
2021-09-15 22:41:35.579683 : Epoch  3, Batch    833, Loss  0.870862, Average Loss  0.868441, Time  0.265477
2021-09-15 22:41:35.731601 : Epoch  6, Batch    600, Loss  0.603645, Average Loss  0.603438, Time  0.236899
2021-09-15 22:41:37.238068 : Epoch  6, Batch    601, Loss  0.592924, Average Loss  0.603356, Time  0.236861
2021-09-15 22:41:38.644011 : Epoch  3, Batch    834, Loss  0.859092, Average Loss  0.868387, Time  0.265347
2021-09-15 22:41:38.762142 : Epoch  6, Batch    602, Loss  0.602903, Average Loss  0.603301, Time  0.237314
2021-09-15 22:41:40.270981 : Epoch  6, Batch    603, Loss  0.618617, Average Loss  0.603408, Time  0.235914
2021-09-15 22:41:41.703831 : Epoch  3, Batch    835, Loss  0.876694, Average Loss  0.868397, Time  0.265440
2021-09-15 22:41:41.791038 : Epoch  6, Batch    604, Loss  0.601038, Average Loss  0.603356, Time  0.236801
2021-09-15 22:41:43.290282 : Epoch  6, Batch    605, Loss  0.596926, Average Loss  0.603290, Time  0.236409
2021-09-15 22:41:44.777573 : Epoch  3, Batch    836, Loss  0.869839, Average Loss  0.868460, Time  0.278816
2021-09-15 22:41:44.831159 : Epoch  6, Batch    606, Loss  0.606325, Average Loss  0.603300, Time  0.236660
2021-09-15 22:41:46.335472 : Epoch  6, Batch    607, Loss  0.613954, Average Loss  0.603320, Time  0.236446
2021-09-15 22:41:47.850793 : Epoch  3, Batch    837, Loss  0.871149, Average Loss  0.868492, Time  0.269689
2021-09-15 22:41:47.856039 : Epoch  6, Batch    608, Loss  0.613141, Average Loss  0.603365, Time  0.236648
2021-09-15 22:41:49.381420 : Epoch  6, Batch    609, Loss  0.600278, Average Loss  0.603319, Time  0.236913
2021-09-15 22:41:50.897468 : Epoch  6, Batch    610, Loss  0.618079, Average Loss  0.603409, Time  0.237216
2021-09-15 22:41:50.919969 : Epoch  3, Batch    838, Loss  0.893818, Average Loss  0.868511, Time  0.265809
2021-09-15 22:41:52.419392 : Epoch  6, Batch    611, Loss  0.599950, Average Loss  0.603409, Time  0.237252
2021-09-15 22:41:53.948046 : Epoch  6, Batch    612, Loss  0.600077, Average Loss  0.603400, Time  0.237143
2021-09-15 22:41:53.974261 : Epoch  3, Batch    839, Loss  0.871877, Average Loss  0.868571, Time  0.265490
2021-09-15 22:41:55.459517 : Epoch  6, Batch    613, Loss  0.593546, Average Loss  0.603337, Time  0.235920
2021-09-15 22:41:56.972167 : Epoch  6, Batch    614, Loss  0.598428, Average Loss  0.603261, Time  0.235713
2021-09-15 22:41:57.016686 : Epoch  3, Batch    840, Loss  0.877214, Average Loss  0.868556, Time  0.265833
2021-09-15 22:41:58.490446 : Epoch  6, Batch    615, Loss  0.606560, Average Loss  0.603326, Time  0.236300
2021-09-15 22:42:00.013493 : Epoch  6, Batch    616, Loss  0.595997, Average Loss  0.603307, Time  0.237185
2021-09-15 22:42:00.073703 : Epoch  3, Batch    841, Loss  0.867671, Average Loss  0.868529, Time  0.265570
2021-09-15 22:42:01.526272 : Epoch  6, Batch    617, Loss  0.598263, Average Loss  0.603291, Time  0.235946
2021-09-15 22:42:03.041123 : Epoch  6, Batch    618, Loss  0.608020, Average Loss  0.603346, Time  0.237431
2021-09-15 22:42:03.122408 : Epoch  3, Batch    842, Loss  0.884201, Average Loss  0.868600, Time  0.265983
2021-09-15 22:42:04.561177 : Epoch  6, Batch    619, Loss  0.595514, Average Loss  0.603382, Time  0.236489
2021-09-15 22:42:06.078719 : Epoch  6, Batch    620, Loss  0.603236, Average Loss  0.603398, Time  0.236153
2021-09-15 22:42:06.168022 : Epoch  3, Batch    843, Loss  0.864804, Average Loss  0.868551, Time  0.265869
2021-09-15 22:42:07.594281 : Epoch  6, Batch    621, Loss  0.604912, Average Loss  0.603416, Time  0.236250
2021-09-15 22:42:09.104045 : Epoch  6, Batch    622, Loss  0.603814, Average Loss  0.603406, Time  0.235519
2021-09-15 22:42:09.220408 : Epoch  3, Batch    844, Loss  0.885652, Average Loss  0.868616, Time  0.265953
2021-09-15 22:42:10.627368 : Epoch  6, Batch    623, Loss  0.611532, Average Loss  0.603480, Time  0.236102
2021-09-15 22:42:12.148094 : Epoch  6, Batch    624, Loss  0.591696, Average Loss  0.603367, Time  0.236876
2021-09-15 22:42:12.268214 : Epoch  3, Batch    845, Loss  0.872421, Average Loss  0.868655, Time  0.267235
2021-09-15 22:42:13.658054 : Epoch  6, Batch    625, Loss  0.599670, Average Loss  0.603364, Time  0.236020
2021-09-15 22:42:15.185066 : Epoch  6, Batch    626, Loss  0.609947, Average Loss  0.603350, Time  0.236109
2021-09-15 22:42:15.328223 : Epoch  3, Batch    846, Loss  0.884091, Average Loss  0.868755, Time  0.265217
2021-09-15 22:42:16.711579 : Epoch  6, Batch    627, Loss  0.603487, Average Loss  0.603338, Time  0.236001
2021-09-15 22:42:18.224230 : Epoch  6, Batch    628, Loss  0.599551, Average Loss  0.603299, Time  0.236958
2021-09-15 22:42:18.385062 : Epoch  3, Batch    847, Loss  0.870304, Average Loss  0.868795, Time  0.265530
2021-09-15 22:42:19.750124 : Epoch  6, Batch    629, Loss  0.617240, Average Loss  0.603406, Time  0.238429
2021-09-15 22:42:21.269192 : Epoch  6, Batch    630, Loss  0.606606, Average Loss  0.603413, Time  0.236698
2021-09-15 22:42:21.427704 : Epoch  3, Batch    848, Loss  0.875929, Average Loss  0.868873, Time  0.265827
2021-09-15 22:42:22.789068 : Epoch  6, Batch    631, Loss  0.601767, Average Loss  0.603399, Time  0.236009
2021-09-15 22:42:24.315697 : Epoch  6, Batch    632, Loss  0.594673, Average Loss  0.603349, Time  0.237281
2021-09-15 22:42:24.482252 : Epoch  3, Batch    849, Loss  0.867043, Average Loss  0.868878, Time  0.265263
2021-09-15 22:42:25.843731 : Epoch  6, Batch    633, Loss  0.595400, Average Loss  0.603347, Time  0.235991
2021-09-15 22:42:27.361059 : Epoch  6, Batch    634, Loss  0.586585, Average Loss  0.603289, Time  0.236262
2021-09-15 22:42:27.536522 : Epoch  3, Batch    850, Loss  0.891996, Average Loss  0.869004, Time  0.266624
2021-09-15 22:42:28.881885 : Epoch  6, Batch    635, Loss  0.599822, Average Loss  0.603267, Time  0.236455
2021-09-15 22:42:30.604674 : Epoch  3, Batch    851, Loss  0.886553, Average Loss  0.869081, Time  0.276582
2021-09-15 22:42:32.778392 : Epoch  6, Batch    636, Loss  0.595748, Average Loss  0.603199, Time  0.268640
2021-09-15 22:42:33.666796 : Epoch  3, Batch    852, Loss  0.855869, Average Loss  0.869131, Time  0.266082
2021-09-15 22:42:34.307407 : Epoch  6, Batch    637, Loss  0.619945, Average Loss  0.603233, Time  0.249831
2021-09-15 22:42:35.832449 : Epoch  6, Batch    638, Loss  0.597407, Average Loss  0.603129, Time  0.237194
2021-09-15 22:42:36.744225 : Epoch  3, Batch    853, Loss  0.861375, Average Loss  0.869084, Time  0.265929
2021-09-15 22:42:37.350609 : Epoch  6, Batch    639, Loss  0.604677, Average Loss  0.603109, Time  0.238008
2021-09-15 22:42:38.867328 : Epoch  6, Batch    640, Loss  0.604108, Average Loss  0.603032, Time  0.237975
2021-09-15 22:42:39.807279 : Epoch  3, Batch    854, Loss  0.866801, Average Loss  0.868992, Time  0.265713
2021-09-15 22:42:40.377994 : Epoch  6, Batch    641, Loss  0.592537, Average Loss  0.602982, Time  0.237457
2021-09-15 22:42:41.892446 : Epoch  6, Batch    642, Loss  0.605805, Average Loss  0.602982, Time  0.236854
2021-09-15 22:42:42.870217 : Epoch  3, Batch    855, Loss  0.859030, Average Loss  0.868863, Time  0.266107
2021-09-15 22:42:43.398404 : Epoch  6, Batch    643, Loss  0.608909, Average Loss  0.603003, Time  0.235944
2021-09-15 22:42:44.917722 : Epoch  6, Batch    644, Loss  0.607508, Average Loss  0.602986, Time  0.238387
2021-09-15 22:42:45.939009 : Epoch  3, Batch    856, Loss  0.864425, Average Loss  0.868896, Time  0.265540
2021-09-15 22:42:46.426389 : Epoch  6, Batch    645, Loss  0.607517, Average Loss  0.602982, Time  0.236238
2021-09-15 22:42:47.926245 : Epoch  6, Batch    646, Loss  0.601389, Average Loss  0.602968, Time  0.235876
2021-09-15 22:42:48.993470 : Epoch  3, Batch    857, Loss  0.882728, Average Loss  0.868941, Time  0.265812
2021-09-15 22:42:49.441091 : Epoch  6, Batch    647, Loss  0.593199, Average Loss  0.602906, Time  0.237163
2021-09-15 22:42:50.938975 : Epoch  6, Batch    648, Loss  0.597945, Average Loss  0.602898, Time  0.236500
2021-09-15 22:42:52.053979 : Epoch  3, Batch    858, Loss  0.857818, Average Loss  0.868931, Time  0.266379
2021-09-15 22:42:52.452190 : Epoch  6, Batch    649, Loss  0.589482, Average Loss  0.602885, Time  0.238058
2021-09-15 22:42:53.955830 : Epoch  6, Batch    650, Loss  0.603007, Average Loss  0.602863, Time  0.237940
2021-09-15 22:42:55.112389 : Epoch  3, Batch    859, Loss  0.877340, Average Loss  0.868903, Time  0.265741
2021-09-15 22:42:55.466834 : Epoch  6, Batch    651, Loss  0.610793, Average Loss  0.602885, Time  0.237411
2021-09-15 22:42:56.973932 : Epoch  6, Batch    652, Loss  0.607209, Average Loss  0.602927, Time  0.235831
2021-09-15 22:42:58.175271 : Epoch  3, Batch    860, Loss  0.870853, Average Loss  0.868897, Time  0.265741
2021-09-15 22:42:58.488503 : Epoch  6, Batch    653, Loss  0.610931, Average Loss  0.602960, Time  0.236021
2021-09-15 22:43:00.010282 : Epoch  6, Batch    654, Loss  0.596514, Average Loss  0.602959, Time  0.235809
2021-09-15 22:43:01.244134 : Epoch  3, Batch    861, Loss  0.869565, Average Loss  0.869014, Time  0.265384
2021-09-15 22:43:01.530078 : Epoch  6, Batch    655, Loss  0.602031, Average Loss  0.602960, Time  0.235741
2021-09-15 22:43:03.033054 : Epoch  6, Batch    656, Loss  0.595462, Average Loss  0.602941, Time  0.235746
2021-09-15 22:43:04.311745 : Epoch  3, Batch    862, Loss  0.879622, Average Loss  0.869100, Time  0.264983
2021-09-15 22:43:04.549102 : Epoch  6, Batch    657, Loss  0.597083, Average Loss  0.602913, Time  0.235429
2021-09-15 22:43:06.066332 : Epoch  6, Batch    658, Loss  0.612420, Average Loss  0.602997, Time  0.235844
2021-09-15 22:43:07.378491 : Epoch  3, Batch    863, Loss  0.867961, Average Loss  0.869059, Time  0.265359
2021-09-15 22:43:07.586549 : Epoch  6, Batch    659, Loss  0.601201, Average Loss  0.602995, Time  0.236758
2021-09-15 22:43:09.101084 : Epoch  6, Batch    660, Loss  0.599272, Average Loss  0.602974, Time  0.235885
2021-09-15 22:43:10.454476 : Epoch  3, Batch    864, Loss  0.860759, Average Loss  0.869020, Time  0.265714
2021-09-15 22:43:10.632770 : Epoch  6, Batch    661, Loss  0.597971, Average Loss  0.602905, Time  0.237458
2021-09-15 22:43:12.144421 : Epoch  6, Batch    662, Loss  0.602546, Average Loss  0.602913, Time  0.240771
2021-09-15 22:43:13.513896 : Epoch  3, Batch    865, Loss  0.862012, Average Loss  0.869003, Time  0.267063
2021-09-15 22:43:13.668307 : Epoch  6, Batch    663, Loss  0.588174, Average Loss  0.602841, Time  0.236021
2021-09-15 22:43:15.187620 : Epoch  6, Batch    664, Loss  0.586316, Average Loss  0.602767, Time  0.235586
2021-09-15 22:43:16.589784 : Epoch  3, Batch    866, Loss  0.882453, Average Loss  0.868983, Time  0.276236
2021-09-15 22:43:16.707587 : Epoch  6, Batch    665, Loss  0.604348, Average Loss  0.602737, Time  0.236414
2021-09-15 22:43:19.659512 : Epoch  3, Batch    867, Loss  0.880253, Average Loss  0.868979, Time  0.266134
2021-09-15 22:43:22.744791 : Epoch  3, Batch    868, Loss  0.844684, Average Loss  0.868953, Time  0.270673
2021-09-15 22:43:25.813814 : Epoch  3, Batch    869, Loss  0.875205, Average Loss  0.868862, Time  0.265864
2021-09-15 22:43:28.873170 : Epoch  3, Batch    870, Loss  0.868081, Average Loss  0.868911, Time  0.265027
2021-09-15 22:43:31.934461 : Epoch  3, Batch    871, Loss  0.870334, Average Loss  0.868940, Time  0.265646
2021-09-15 22:43:35.000173 : Epoch  3, Batch    872, Loss  0.866373, Average Loss  0.868884, Time  0.265400
2021-09-15 22:43:38.068202 : Epoch  3, Batch    873, Loss  0.862958, Average Loss  0.868868, Time  0.264708
2021-09-15 22:43:41.153271 : Epoch  3, Batch    874, Loss  0.878276, Average Loss  0.868856, Time  0.265588
2021-09-15 22:43:44.215374 : Epoch  3, Batch    875, Loss  0.852962, Average Loss  0.868780, Time  0.265474
2021-09-15 22:43:47.280832 : Epoch  3, Batch    876, Loss  0.882258, Average Loss  0.868830, Time  0.265924
2021-09-15 22:43:50.344741 : Epoch  3, Batch    877, Loss  0.858378, Average Loss  0.868839, Time  0.265462
2021-09-15 22:43:53.427864 : Epoch  3, Batch    878, Loss  0.896034, Average Loss  0.869015, Time  0.267625
2021-09-15 22:43:56.504665 : Epoch  3, Batch    879, Loss  0.862927, Average Loss  0.869068, Time  0.265275
2021-09-15 22:43:59.567134 : Epoch  3, Batch    880, Loss  0.862445, Average Loss  0.869035, Time  0.265875
2021-09-15 22:44:02.649251 : Epoch  3, Batch    881, Loss  0.858329, Average Loss  0.868940, Time  0.278920
2021-09-15 22:44:05.734224 : Epoch  3, Batch    882, Loss  0.870897, Average Loss  0.868984, Time  0.266031
2021-09-15 22:44:08.792759 : Epoch  3, Batch    883, Loss  0.866083, Average Loss  0.868893, Time  0.265165
2021-09-15 22:44:11.867103 : Epoch  3, Batch    884, Loss  0.867887, Average Loss  0.868890, Time  0.265721
2021-09-15 22:44:13.521530 : CheckPoint: Validation Loss  0.00024991, Best Loss  0.00024241
2021-09-15 22:44:14.936344 : Epoch  3, Batch    885, Loss  0.877181, Average Loss  0.868879, Time  0.266876
2021-09-15 22:44:15.046486 : Epoch  6, Batch    666, Loss  0.606449, Average Loss  0.602670, Time  0.236187
2021-09-15 22:44:16.576741 : Epoch  6, Batch    667, Loss  0.593910, Average Loss  0.602615, Time  0.237586
2021-09-15 22:44:18.015260 : Epoch  3, Batch    886, Loss  0.865513, Average Loss  0.868767, Time  0.266798
2021-09-15 22:44:18.099213 : Epoch  6, Batch    668, Loss  0.617326, Average Loss  0.602645, Time  0.236665
2021-09-15 22:44:19.620726 : Epoch  6, Batch    669, Loss  0.610646, Average Loss  0.602667, Time  0.237032
2021-09-15 22:44:21.089172 : Epoch  3, Batch    887, Loss  0.847240, Average Loss  0.868745, Time  0.265614
2021-09-15 22:44:21.146076 : Epoch  6, Batch    670, Loss  0.605122, Average Loss  0.602728, Time  0.236561
2021-09-15 22:44:22.669115 : Epoch  6, Batch    671, Loss  0.616781, Average Loss  0.602737, Time  0.236546
2021-09-15 22:44:24.161800 : Epoch  3, Batch    888, Loss  0.864737, Average Loss  0.868779, Time  0.265375
2021-09-15 22:44:24.190722 : Epoch  6, Batch    672, Loss  0.601784, Average Loss  0.602745, Time  0.236031
2021-09-15 22:44:25.718593 : Epoch  6, Batch    673, Loss  0.604555, Average Loss  0.602736, Time  0.236475
2021-09-15 22:44:27.239767 : Epoch  6, Batch    674, Loss  0.605749, Average Loss  0.602827, Time  0.238642
2021-09-15 22:44:28.758415 : Epoch  6, Batch    675, Loss  0.597370, Average Loss  0.602804, Time  0.236825
2021-09-15 22:44:30.277932 : Epoch  6, Batch    676, Loss  0.593758, Average Loss  0.602744, Time  0.235687
2021-09-15 22:44:31.801943 : Epoch  6, Batch    677, Loss  0.594060, Average Loss  0.602697, Time  0.236536
2021-09-15 22:44:33.323895 : Epoch  6, Batch    678, Loss  0.599427, Average Loss  0.602710, Time  0.238612
2021-09-15 22:44:34.840333 : Epoch  6, Batch    679, Loss  0.599606, Average Loss  0.602680, Time  0.235932
2021-09-15 22:44:36.360670 : Epoch  6, Batch    680, Loss  0.608646, Average Loss  0.602736, Time  0.237294
2021-09-15 22:44:37.882184 : Epoch  6, Batch    681, Loss  0.595650, Average Loss  0.602742, Time  0.236791
2021-09-15 22:44:39.424723 : Epoch  6, Batch    682, Loss  0.598278, Average Loss  0.602701, Time  0.235811
2021-09-15 22:44:40.938080 : Epoch  6, Batch    683, Loss  0.609465, Average Loss  0.602710, Time  0.236232
2021-09-15 22:44:42.464022 : Epoch  6, Batch    684, Loss  0.611306, Average Loss  0.602809, Time  0.236450
2021-09-15 22:44:43.981854 : Epoch  6, Batch    685, Loss  0.602998, Average Loss  0.602796, Time  0.236817
2021-09-15 22:44:45.502992 : Epoch  6, Batch    686, Loss  0.597562, Average Loss  0.602750, Time  0.235914
2021-09-15 22:44:47.030412 : Epoch  6, Batch    687, Loss  0.598673, Average Loss  0.602759, Time  0.235717
2021-09-15 22:44:48.543514 : Epoch  6, Batch    688, Loss  0.620892, Average Loss  0.602824, Time  0.236862
2021-09-15 22:44:50.088931 : Epoch  6, Batch    689, Loss  0.615565, Average Loss  0.602860, Time  0.236232
2021-09-15 22:44:51.607372 : Epoch  6, Batch    690, Loss  0.600144, Average Loss  0.602865, Time  0.235826
2021-09-15 22:44:53.126131 : Epoch  6, Batch    691, Loss  0.601650, Average Loss  0.602835, Time  0.235909
2021-09-15 22:44:54.680445 : Epoch  6, Batch    692, Loss  0.602568, Average Loss  0.602910, Time  0.237503
2021-09-15 22:44:56.210270 : Epoch  6, Batch    693, Loss  0.599637, Average Loss  0.602866, Time  0.235728
2021-09-15 22:44:57.731488 : Epoch  6, Batch    694, Loss  0.602540, Average Loss  0.602833, Time  0.235702
2021-09-15 22:44:59.257692 : Epoch  6, Batch    695, Loss  0.593578, Average Loss  0.602805, Time  0.236678
2021-09-15 22:45:00.788136 : Epoch  6, Batch    696, Loss  0.602712, Average Loss  0.602802, Time  0.236496
2021-09-15 22:45:02.325813 : Epoch  6, Batch    697, Loss  0.614689, Average Loss  0.602843, Time  0.236133
2021-09-15 22:45:03.842430 : Epoch  6, Batch    698, Loss  0.606403, Average Loss  0.602826, Time  0.240168
2021-09-15 22:45:05.366453 : Epoch  6, Batch    699, Loss  0.598746, Average Loss  0.602803, Time  0.235739
2021-09-15 22:45:06.892241 : Epoch  6, Batch    700, Loss  0.602942, Average Loss  0.602736, Time  0.237723
2021-09-15 22:45:08.417281 : Epoch  6, Batch    701, Loss  0.593673, Average Loss  0.602639, Time  0.236677
2021-09-15 22:45:09.941106 : Epoch  6, Batch    702, Loss  0.608375, Average Loss  0.602650, Time  0.235854
2021-09-15 22:45:11.463618 : Epoch  6, Batch    703, Loss  0.602004, Average Loss  0.602626, Time  0.235668
2021-09-15 22:45:13.007620 : Epoch  6, Batch    704, Loss  0.596517, Average Loss  0.602633, Time  0.235390
2021-09-15 22:45:14.534418 : Epoch  6, Batch    705, Loss  0.602497, Average Loss  0.602599, Time  0.236826
2021-09-15 22:45:16.059722 : Epoch  6, Batch    706, Loss  0.599734, Average Loss  0.602585, Time  0.236338
2021-09-15 22:45:17.576474 : Epoch  6, Batch    707, Loss  0.610677, Average Loss  0.602626, Time  0.236005
2021-09-15 22:45:19.122206 : Epoch  6, Batch    708, Loss  0.604735, Average Loss  0.602565, Time  0.236072
2021-09-15 22:45:20.665092 : Epoch  6, Batch    709, Loss  0.611353, Average Loss  0.602587, Time  0.235757
2021-09-15 22:45:20.805220 : Epoch  6, Batch    710, Loss  0.592513, Average Loss  0.602520, Time  0.092737
2021-09-15 22:45:22.337247 : Epoch  6, Batch    711, Loss  0.611637, Average Loss  0.602544, Time  0.235834
2021-09-15 22:45:23.858001 : Epoch  6, Batch    712, Loss  0.610707, Average Loss  0.602619, Time  0.236131
2021-09-15 22:45:25.374611 : Epoch  6, Batch    713, Loss  0.592492, Average Loss  0.602568, Time  0.236572
2021-09-15 22:45:26.902791 : Epoch  6, Batch    714, Loss  0.618363, Average Loss  0.602639, Time  0.237070
2021-09-15 22:45:28.432456 : Epoch  6, Batch    715, Loss  0.605577, Average Loss  0.602687, Time  0.235687
2021-09-15 22:45:29.948761 : Epoch  6, Batch    716, Loss  0.614827, Average Loss  0.602736, Time  0.236217
2021-09-15 22:45:31.468488 : Epoch  6, Batch    717, Loss  0.613682, Average Loss  0.602800, Time  0.235818
2021-09-15 22:45:32.982309 : Epoch  6, Batch    718, Loss  0.597454, Average Loss  0.602760, Time  0.236905
2021-09-15 22:45:34.514343 : Epoch  6, Batch    719, Loss  0.606950, Average Loss  0.602803, Time  0.238415
2021-09-15 22:45:36.032721 : Epoch  6, Batch    720, Loss  0.607137, Average Loss  0.602757, Time  0.236341
2021-09-15 22:45:37.560479 : Epoch  6, Batch    721, Loss  0.617897, Average Loss  0.602879, Time  0.241937
2021-09-15 22:45:39.079660 : Epoch  6, Batch    722, Loss  0.608283, Average Loss  0.602970, Time  0.236486
2021-09-15 22:45:40.587946 : Epoch  6, Batch    723, Loss  0.606558, Average Loss  0.603048, Time  0.236118
2021-09-15 22:45:42.104660 : Epoch  6, Batch    724, Loss  0.612648, Average Loss  0.603124, Time  0.236128
2021-09-15 22:45:43.617768 : Epoch  6, Batch    725, Loss  0.600823, Average Loss  0.603143, Time  0.235831
2021-09-15 22:45:45.168404 : Epoch  6, Batch    726, Loss  0.608751, Average Loss  0.603129, Time  0.236878
2021-09-15 22:45:46.719939 : Epoch  6, Batch    727, Loss  0.605265, Average Loss  0.603137, Time  0.235941
2021-09-15 22:45:48.244077 : Epoch  6, Batch    728, Loss  0.603637, Average Loss  0.603168, Time  0.236110
2021-09-15 22:45:49.786426 : Epoch  6, Batch    729, Loss  0.593373, Average Loss  0.603075, Time  0.235724
2021-09-15 22:45:51.313589 : Epoch  6, Batch    730, Loss  0.595188, Average Loss  0.603031, Time  0.236230
2021-09-15 22:45:52.828732 : Epoch  6, Batch    731, Loss  0.603516, Average Loss  0.603051, Time  0.235683
2021-09-15 22:45:54.351891 : Epoch  6, Batch    732, Loss  0.608246, Average Loss  0.603079, Time  0.236587
2021-09-15 22:45:55.872873 : Epoch  6, Batch    733, Loss  0.608818, Average Loss  0.603114, Time  0.235798
2021-09-15 22:45:57.392490 : Epoch  6, Batch    734, Loss  0.612039, Average Loss  0.603113, Time  0.236437
2021-09-15 22:45:58.906671 : Epoch  6, Batch    735, Loss  0.606026, Average Loss  0.603182, Time  0.236768
2021-09-15 22:46:00.422174 : Epoch  6, Batch    736, Loss  0.603169, Average Loss  0.603153, Time  0.235448
2021-09-15 22:46:04.346848 : Epoch  6, Batch    737, Loss  0.603924, Average Loss  0.603170, Time  0.271481
2021-09-15 22:46:05.875691 : Epoch  6, Batch    738, Loss  0.607126, Average Loss  0.603171, Time  0.252227
2021-09-15 22:46:07.396722 : Epoch  6, Batch    739, Loss  0.594111, Average Loss  0.603164, Time  0.240345
2021-09-15 22:46:08.911843 : Epoch  6, Batch    740, Loss  0.609950, Average Loss  0.603134, Time  0.236050
2021-09-15 22:46:10.425740 : Epoch  6, Batch    741, Loss  0.610760, Average Loss  0.603185, Time  0.237839
2021-09-15 22:46:11.939095 : Epoch  6, Batch    742, Loss  0.601143, Average Loss  0.603225, Time  0.235841
2021-09-15 22:46:13.456106 : Epoch  6, Batch    743, Loss  0.599353, Average Loss  0.603200, Time  0.237078
2021-09-15 22:46:14.963789 : Epoch  6, Batch    744, Loss  0.609367, Average Loss  0.603237, Time  0.237525
2021-09-15 22:46:16.476927 : Epoch  6, Batch    745, Loss  0.606701, Average Loss  0.603243, Time  0.240093
2021-09-15 22:46:17.985787 : Epoch  6, Batch    746, Loss  0.598155, Average Loss  0.603241, Time  0.235950
2021-09-15 22:46:19.505844 : Epoch  6, Batch    747, Loss  0.606851, Average Loss  0.603252, Time  0.236704
2021-09-15 22:46:21.024437 : Epoch  6, Batch    748, Loss  0.604657, Average Loss  0.603290, Time  0.236593
2021-09-15 22:46:22.543429 : Epoch  6, Batch    749, Loss  0.609289, Average Loss  0.603304, Time  0.236707
2021-09-15 22:46:24.052793 : Epoch  6, Batch    750, Loss  0.612067, Average Loss  0.603332, Time  0.236048
2021-09-15 22:46:25.569992 : Epoch  6, Batch    751, Loss  0.612106, Average Loss  0.603409, Time  0.236367
2021-09-15 22:46:27.088917 : Epoch  6, Batch    752, Loss  0.593303, Average Loss  0.603328, Time  0.235918
2021-09-15 22:46:28.596403 : Epoch  6, Batch    753, Loss  0.605384, Average Loss  0.603343, Time  0.235791
2021-09-15 22:46:30.112407 : Epoch  6, Batch    754, Loss  0.598872, Average Loss  0.603329, Time  0.238402
2021-09-15 22:46:31.623405 : Epoch  6, Batch    755, Loss  0.598173, Average Loss  0.603384, Time  0.236746
2021-09-15 22:46:33.137011 : Epoch  6, Batch    756, Loss  0.593392, Average Loss  0.603332, Time  0.238080
2021-09-15 22:46:34.653610 : Epoch  6, Batch    757, Loss  0.598490, Average Loss  0.603291, Time  0.235460
2021-09-15 22:46:36.167706 : Epoch  6, Batch    758, Loss  0.595675, Average Loss  0.603232, Time  0.236125
2021-09-15 22:46:37.685401 : Epoch  6, Batch    759, Loss  0.599279, Average Loss  0.603202, Time  0.236222
2021-09-15 22:46:39.199347 : Epoch  6, Batch    760, Loss  0.583023, Average Loss  0.603145, Time  0.237036
2021-09-15 22:46:40.721021 : Epoch  6, Batch    761, Loss  0.593766, Average Loss  0.603199, Time  0.236879
2021-09-15 22:46:42.252032 : Epoch  6, Batch    762, Loss  0.587649, Average Loss  0.603078, Time  0.236115
2021-09-15 22:46:43.774014 : Epoch  6, Batch    763, Loss  0.604213, Average Loss  0.603032, Time  0.240158
2021-09-15 22:46:45.300208 : Epoch  6, Batch    764, Loss  0.605024, Average Loss  0.603047, Time  0.235801
2021-09-15 22:46:46.833955 : Epoch  6, Batch    765, Loss  0.603573, Average Loss  0.603014, Time  0.236957
2021-09-15 22:47:43.478785 : CheckPoint: Validation Loss  0.00024725, Best Loss  0.00024241
2021-09-15 22:47:45.020274 : Epoch  6, Batch    766, Loss  0.609826, Average Loss  0.603023, Time  0.238930
2021-09-15 22:47:46.560101 : Epoch  6, Batch    767, Loss  0.600470, Average Loss  0.602982, Time  0.236160
2021-09-15 22:47:48.092839 : Epoch  6, Batch    768, Loss  0.602782, Average Loss  0.603060, Time  0.239338
2021-09-15 22:47:49.626752 : Epoch  6, Batch    769, Loss  0.607358, Average Loss  0.603063, Time  0.236289
2021-09-15 22:47:51.145509 : Epoch  6, Batch    770, Loss  0.601224, Average Loss  0.603066, Time  0.235597
2021-09-15 22:47:52.671200 : Epoch  6, Batch    771, Loss  0.591697, Average Loss  0.602973, Time  0.236378
2021-09-15 22:47:54.205679 : Epoch  6, Batch    772, Loss  0.600669, Average Loss  0.602925, Time  0.236791
2021-09-15 22:47:55.723438 : Epoch  6, Batch    773, Loss  0.601701, Average Loss  0.602887, Time  0.235864
2021-09-15 22:47:57.241099 : Epoch  6, Batch    774, Loss  0.612790, Average Loss  0.602910, Time  0.235727
2021-09-15 22:47:58.774658 : Epoch  6, Batch    775, Loss  0.594922, Average Loss  0.602848, Time  0.237701
2021-09-15 22:48:00.297408 : Epoch  6, Batch    776, Loss  0.611826, Average Loss  0.602908, Time  0.235657
2021-09-15 22:48:01.827717 : Epoch  6, Batch    777, Loss  0.601958, Average Loss  0.602900, Time  0.236576
2021-09-15 22:48:03.352591 : Epoch  6, Batch    778, Loss  0.598324, Average Loss  0.602879, Time  0.236898
2021-09-15 22:48:04.891608 : Epoch  6, Batch    779, Loss  0.610320, Average Loss  0.602908, Time  0.235890
2021-09-15 22:48:06.418054 : Epoch  6, Batch    780, Loss  0.598537, Average Loss  0.602903, Time  0.235631
2021-09-15 22:48:07.936447 : Epoch  6, Batch    781, Loss  0.587722, Average Loss  0.602882, Time  0.238668
2021-09-15 22:48:09.451270 : Epoch  6, Batch    782, Loss  0.603819, Average Loss  0.602894, Time  0.235803
2021-09-15 22:48:10.992426 : Epoch  6, Batch    783, Loss  0.600160, Average Loss  0.602821, Time  0.235756
2021-09-15 22:48:12.510219 : Epoch  6, Batch    784, Loss  0.606285, Average Loss  0.602798, Time  0.235665
2021-09-15 22:48:14.032927 : Epoch  6, Batch    785, Loss  0.605244, Average Loss  0.602811, Time  0.237100
2021-09-15 22:48:15.550301 : Epoch  6, Batch    786, Loss  0.601099, Average Loss  0.602856, Time  0.236367
2021-09-15 22:48:17.078586 : Epoch  6, Batch    787, Loss  0.605010, Average Loss  0.602841, Time  0.237151
2021-09-15 22:48:17.113778 : Saving Model after 6-th Epoch.
2021-09-15 22:48:17.817606 : Epoch Finished.
2021-09-15 22:48:20.105087 : Batch Shuffled
2021-09-15 22:48:21.666702 : Epoch  7, Batch      1, Loss  0.599714, Average Loss  0.602780, Time  0.264733
2021-09-15 22:48:23.185381 : Epoch  7, Batch      2, Loss  0.600769, Average Loss  0.602819, Time  0.239193
2021-09-15 22:48:24.723405 : Epoch  7, Batch      3, Loss  0.601880, Average Loss  0.602809, Time  0.238359
2021-09-15 22:48:26.244388 : Epoch  7, Batch      4, Loss  0.602665, Average Loss  0.602808, Time  0.235364
2021-09-15 22:48:27.762017 : Epoch  7, Batch      5, Loss  0.608293, Average Loss  0.602857, Time  0.235527
2021-09-15 22:48:29.293131 : Epoch  7, Batch      6, Loss  0.602347, Average Loss  0.602883, Time  0.237327
2021-09-15 22:48:30.811955 : Epoch  7, Batch      7, Loss  0.595453, Average Loss  0.602869, Time  0.237971
2021-09-15 22:48:32.330648 : Epoch  7, Batch      8, Loss  0.609949, Average Loss  0.602880, Time  0.237451
2021-09-15 22:48:33.849893 : Epoch  7, Batch      9, Loss  0.589240, Average Loss  0.602819, Time  0.236438
2021-09-15 22:48:35.374139 : Epoch  7, Batch     10, Loss  0.605942, Average Loss  0.602911, Time  0.237780
2021-09-15 22:48:36.899086 : Epoch  7, Batch     11, Loss  0.599505, Average Loss  0.602893, Time  0.236505
2021-09-15 22:48:38.419814 : Epoch  7, Batch     12, Loss  0.602203, Average Loss  0.602895, Time  0.236502
2021-09-15 22:48:39.935312 : Epoch  7, Batch     13, Loss  0.602657, Average Loss  0.602890, Time  0.237219
2021-09-15 22:48:41.455348 : Epoch  7, Batch     14, Loss  0.600153, Average Loss  0.602926, Time  0.235785
2021-09-15 22:48:42.979144 : Epoch  7, Batch     15, Loss  0.607287, Average Loss  0.602948, Time  0.236163
2021-09-15 22:48:44.499873 : Epoch  7, Batch     16, Loss  0.596051, Average Loss  0.602835, Time  0.236073
2021-09-15 22:48:46.020279 : Epoch  7, Batch     17, Loss  0.601038, Average Loss  0.602835, Time  0.235934
2021-09-15 22:48:47.540449 : Epoch  7, Batch     18, Loss  0.600160, Average Loss  0.602851, Time  0.239298
2021-09-15 22:48:49.061622 : Epoch  7, Batch     19, Loss  0.599330, Average Loss  0.602816, Time  0.236584
2021-09-15 22:48:50.592241 : Epoch  7, Batch     20, Loss  0.611842, Average Loss  0.602806, Time  0.236865
2021-09-15 22:48:52.116233 : Epoch  7, Batch     21, Loss  0.605180, Average Loss  0.602766, Time  0.236080
2021-09-15 22:48:53.649681 : Epoch  7, Batch     22, Loss  0.591909, Average Loss  0.602724, Time  0.235836
2021-09-15 22:48:55.172268 : Epoch  7, Batch     23, Loss  0.609272, Average Loss  0.602680, Time  0.236538
2021-09-15 22:48:56.693280 : Epoch  7, Batch     24, Loss  0.600001, Average Loss  0.602680, Time  0.235537
2021-09-15 22:48:58.220284 : Epoch  7, Batch     25, Loss  0.607465, Average Loss  0.602717, Time  0.235931
2021-09-15 22:48:59.749928 : Epoch  7, Batch     26, Loss  0.594548, Average Loss  0.602722, Time  0.236292
2021-09-15 22:49:01.274963 : Epoch  7, Batch     27, Loss  0.601965, Average Loss  0.602740, Time  0.236399
2021-09-15 22:49:02.782713 : Epoch  7, Batch     28, Loss  0.594239, Average Loss  0.602678, Time  0.236031
2021-09-15 22:49:04.297870 : Epoch  7, Batch     29, Loss  0.592314, Average Loss  0.602660, Time  0.236614
2021-09-15 22:49:05.811829 : Epoch  7, Batch     30, Loss  0.614523, Average Loss  0.602741, Time  0.236945
2021-09-15 22:49:07.344946 : Epoch  7, Batch     31, Loss  0.596059, Average Loss  0.602682, Time  0.236406
2021-09-15 22:49:07.654762 : CheckPoint: Validation Loss  0.00030751, Best Loss  0.00029429
2021-09-15 22:49:08.870417 : Epoch  7, Batch     32, Loss  0.592187, Average Loss  0.602665, Time  0.236459
2021-09-15 22:49:10.391279 : Epoch  7, Batch     33, Loss  0.599836, Average Loss  0.602648, Time  0.235743
2021-09-15 22:49:10.624917 : Epoch  3, Batch    889, Loss  0.843150, Average Loss  0.868717, Time  0.265738
2021-09-15 22:49:11.931492 : Epoch  7, Batch     34, Loss  0.613429, Average Loss  0.602690, Time  0.236695
2021-09-15 22:49:13.439931 : Epoch  7, Batch     35, Loss  0.606618, Average Loss  0.602704, Time  0.235884
2021-09-15 22:49:13.623681 : Epoch  3, Batch    890, Loss  0.857251, Average Loss  0.868681, Time  0.265404
2021-09-15 22:49:14.965873 : Epoch  7, Batch     36, Loss  0.592270, Average Loss  0.602608, Time  0.238009
2021-09-15 22:49:16.506379 : Epoch  7, Batch     37, Loss  0.602518, Average Loss  0.602662, Time  0.236106
2021-09-15 22:49:16.624431 : Epoch  3, Batch    891, Loss  0.875057, Average Loss  0.868767, Time  0.264347
2021-09-15 22:49:18.030672 : Epoch  7, Batch     38, Loss  0.591682, Average Loss  0.602622, Time  0.235652
2021-09-15 22:49:19.564430 : Epoch  7, Batch     39, Loss  0.608927, Average Loss  0.602617, Time  0.248143
2021-09-15 22:49:19.603798 : Epoch  3, Batch    892, Loss  0.840564, Average Loss  0.868592, Time  0.265922
2021-09-15 22:49:21.090703 : Epoch  7, Batch     40, Loss  0.586191, Average Loss  0.602531, Time  0.235731
2021-09-15 22:49:22.595986 : Epoch  3, Batch    893, Loss  0.861681, Average Loss  0.868544, Time  0.266502
2021-09-15 22:49:22.626449 : Epoch  7, Batch     41, Loss  0.618394, Average Loss  0.602625, Time  0.235795
2021-09-15 22:49:24.150057 : Epoch  7, Batch     42, Loss  0.610186, Average Loss  0.602590, Time  0.236340
2021-09-15 22:49:25.605790 : Epoch  3, Batch    894, Loss  0.855504, Average Loss  0.868499, Time  0.276479
2021-09-15 22:49:25.673410 : Epoch  7, Batch     43, Loss  0.589504, Average Loss  0.602504, Time  0.237042
2021-09-15 22:49:27.195441 : Epoch  7, Batch     44, Loss  0.603464, Average Loss  0.602513, Time  0.238642
2021-09-15 22:49:28.604687 : Epoch  3, Batch    895, Loss  0.872375, Average Loss  0.868512, Time  0.266248
2021-09-15 22:49:28.713490 : Epoch  7, Batch     45, Loss  0.606378, Average Loss  0.602571, Time  0.236264
2021-09-15 22:49:30.226952 : Epoch  7, Batch     46, Loss  0.593656, Average Loss  0.602562, Time  0.236552
2021-09-15 22:49:31.595388 : Epoch  3, Batch    896, Loss  0.871794, Average Loss  0.868467, Time  0.265884
2021-09-15 22:49:31.743866 : Epoch  7, Batch     47, Loss  0.602708, Average Loss  0.602643, Time  0.236056
2021-09-15 22:49:33.259648 : Epoch  7, Batch     48, Loss  0.603879, Average Loss  0.602663, Time  0.237100
2021-09-15 22:49:34.589931 : Epoch  3, Batch    897, Loss  0.873740, Average Loss  0.868460, Time  0.265752
2021-09-15 22:49:34.783407 : Epoch  7, Batch     49, Loss  0.602513, Average Loss  0.602697, Time  0.235663
2021-09-15 22:49:36.304099 : Epoch  7, Batch     50, Loss  0.591096, Average Loss  0.602553, Time  0.239437
2021-09-15 22:49:37.572505 : Epoch  3, Batch    898, Loss  0.868469, Average Loss  0.868496, Time  0.266457
2021-09-15 22:49:37.834239 : Epoch  7, Batch     51, Loss  0.595488, Average Loss  0.602543, Time  0.247719
2021-09-15 22:49:39.338247 : Epoch  7, Batch     52, Loss  0.599893, Average Loss  0.602519, Time  0.235802
2021-09-15 22:49:40.583141 : Epoch  3, Batch    899, Loss  0.864878, Average Loss  0.868427, Time  0.265799
2021-09-15 22:49:40.877324 : Epoch  7, Batch     53, Loss  0.600697, Average Loss  0.602502, Time  0.237016
2021-09-15 22:49:42.390268 : Epoch  7, Batch     54, Loss  0.610919, Average Loss  0.602594, Time  0.236397
2021-09-15 22:49:43.570471 : Epoch  3, Batch    900, Loss  0.870813, Average Loss  0.868324, Time  0.263495
2021-09-15 22:49:43.907266 : Epoch  7, Batch     55, Loss  0.601590, Average Loss  0.602573, Time  0.235965
2021-09-15 22:49:45.424470 : Epoch  7, Batch     56, Loss  0.622037, Average Loss  0.602639, Time  0.237383
2021-09-15 22:49:46.572936 : Epoch  3, Batch    901, Loss  0.863773, Average Loss  0.868280, Time  0.266595
2021-09-15 22:49:46.940752 : Epoch  7, Batch     57, Loss  0.606333, Average Loss  0.602633, Time  0.237851
2021-09-15 22:49:48.462437 : Epoch  7, Batch     58, Loss  0.603104, Average Loss  0.602611, Time  0.236852
2021-09-15 22:49:49.598665 : Epoch  3, Batch    902, Loss  0.873269, Average Loss  0.868345, Time  0.265592
2021-09-15 22:49:49.989682 : Epoch  7, Batch     59, Loss  0.596123, Average Loss  0.602585, Time  0.240253
2021-09-15 22:49:51.497479 : Epoch  7, Batch     60, Loss  0.608569, Average Loss  0.602661, Time  0.236079
2021-09-15 22:49:52.588538 : Epoch  3, Batch    903, Loss  0.895012, Average Loss  0.868429, Time  0.267075
2021-09-15 22:49:53.016823 : Epoch  7, Batch     61, Loss  0.584346, Average Loss  0.602593, Time  0.235927
2021-09-15 22:49:54.525001 : Epoch  7, Batch     62, Loss  0.598475, Average Loss  0.602638, Time  0.235922
2021-09-15 22:49:55.597441 : Epoch  3, Batch    904, Loss  0.873901, Average Loss  0.868359, Time  0.266581
2021-09-15 22:49:56.040983 : Epoch  7, Batch     63, Loss  0.599713, Average Loss  0.602622, Time  0.235530
2021-09-15 22:49:57.551980 : Epoch  7, Batch     64, Loss  0.607147, Average Loss  0.602604, Time  0.235851
2021-09-15 22:49:58.582216 : Epoch  3, Batch    905, Loss  0.870612, Average Loss  0.868409, Time  0.268230
2021-09-15 22:49:59.094158 : Epoch  7, Batch     65, Loss  0.606475, Average Loss  0.602600, Time  0.238300
2021-09-15 22:50:00.600306 : Epoch  7, Batch     66, Loss  0.609897, Average Loss  0.602595, Time  0.237787
2021-09-15 22:50:01.564731 : Epoch  3, Batch    906, Loss  0.869274, Average Loss  0.868364, Time  0.264828
2021-09-15 22:50:02.113137 : Epoch  7, Batch     67, Loss  0.612561, Average Loss  0.602675, Time  0.236723
2021-09-15 22:50:03.636322 : Epoch  7, Batch     68, Loss  0.606114, Average Loss  0.602696, Time  0.236594
2021-09-15 22:50:04.581755 : Epoch  3, Batch    907, Loss  0.887084, Average Loss  0.868429, Time  0.264879
2021-09-15 22:50:05.151733 : Epoch  7, Batch     69, Loss  0.596860, Average Loss  0.602703, Time  0.236778
2021-09-15 22:50:06.672109 : Epoch  7, Batch     70, Loss  0.599917, Average Loss  0.602717, Time  0.237645
2021-09-15 22:50:07.567842 : Epoch  3, Batch    908, Loss  0.864629, Average Loss  0.868426, Time  0.266061
2021-09-15 22:50:08.184198 : Epoch  7, Batch     71, Loss  0.615027, Average Loss  0.602730, Time  0.236211
2021-09-15 22:50:09.721740 : Epoch  7, Batch     72, Loss  0.592400, Average Loss  0.602686, Time  0.237080
2021-09-15 22:50:10.598823 : Epoch  3, Batch    909, Loss  0.876503, Average Loss  0.868503, Time  0.276181
2021-09-15 22:50:11.245883 : Epoch  7, Batch     73, Loss  0.605152, Average Loss  0.602715, Time  0.237259
2021-09-15 22:50:12.762196 : Epoch  7, Batch     74, Loss  0.606668, Average Loss  0.602759, Time  0.236244
2021-09-15 22:50:13.588449 : Epoch  3, Batch    910, Loss  0.878235, Average Loss  0.868530, Time  0.265172
2021-09-15 22:50:14.292813 : Epoch  7, Batch     75, Loss  0.603113, Average Loss  0.602761, Time  0.236686
2021-09-15 22:50:15.820858 : Epoch  7, Batch     76, Loss  0.608876, Average Loss  0.602865, Time  0.235873
2021-09-15 22:50:16.586939 : Epoch  3, Batch    911, Loss  0.840617, Average Loss  0.868357, Time  0.265128
2021-09-15 22:50:17.355805 : Epoch  7, Batch     77, Loss  0.608423, Average Loss  0.602975, Time  0.235937
2021-09-15 22:50:18.876389 : Epoch  7, Batch     78, Loss  0.605016, Average Loss  0.602979, Time  0.235658
2021-09-15 22:50:19.582948 : Epoch  3, Batch    912, Loss  0.864687, Average Loss  0.868281, Time  0.265359
2021-09-15 22:50:22.565492 : Epoch  3, Batch    913, Loss  0.852773, Average Loss  0.868263, Time  0.264978
2021-09-15 22:50:25.618750 : Epoch  3, Batch    914, Loss  0.888437, Average Loss  0.868459, Time  0.265172
2021-09-15 22:50:28.632050 : Epoch  3, Batch    915, Loss  0.868136, Average Loss  0.868410, Time  0.265476
2021-09-15 22:50:31.632778 : Epoch  3, Batch    916, Loss  0.882167, Average Loss  0.868594, Time  0.265591
2021-09-15 22:50:34.605917 : Epoch  3, Batch    917, Loss  0.859945, Average Loss  0.868507, Time  0.265748
2021-09-15 22:50:37.630025 : Epoch  3, Batch    918, Loss  0.874931, Average Loss  0.868508, Time  0.266219
2021-09-15 22:50:40.641886 : Epoch  3, Batch    919, Loss  0.851558, Average Loss  0.868383, Time  0.265232
2021-09-15 22:50:43.631568 : Epoch  3, Batch    920, Loss  0.867352, Average Loss  0.868279, Time  0.264960
2021-09-15 22:50:46.659407 : Epoch  3, Batch    921, Loss  0.886911, Average Loss  0.868400, Time  0.266631
2021-09-15 22:50:49.679595 : Epoch  3, Batch    922, Loss  0.905647, Average Loss  0.868550, Time  0.265335
2021-09-15 22:50:52.667314 : Epoch  3, Batch    923, Loss  0.876441, Average Loss  0.868720, Time  0.267090
2021-09-15 22:50:55.653244 : Epoch  3, Batch    924, Loss  0.869529, Average Loss  0.868736, Time  0.277548
2021-09-15 22:50:58.680495 : Epoch  3, Batch    925, Loss  0.872666, Average Loss  0.868857, Time  0.267263
2021-09-15 22:51:01.708505 : Epoch  3, Batch    926, Loss  0.859623, Average Loss  0.868704, Time  0.265516
2021-09-15 22:51:04.702132 : Epoch  3, Batch    927, Loss  0.874007, Average Loss  0.868673, Time  0.265946
2021-09-15 22:51:07.718239 : Epoch  3, Batch    928, Loss  0.865598, Average Loss  0.868621, Time  0.266843
2021-09-15 22:51:10.736651 : Epoch  3, Batch    929, Loss  0.873044, Average Loss  0.868703, Time  0.265752
2021-09-15 22:51:13.749870 : Epoch  3, Batch    930, Loss  0.868635, Average Loss  0.868736, Time  0.266582
2021-09-15 22:51:15.504733 : CheckPoint: Validation Loss  0.00025200, Best Loss  0.00024241
2021-09-15 22:51:16.755562 : Epoch  3, Batch    931, Loss  0.869816, Average Loss  0.868707, Time  0.265824
2021-09-15 22:51:17.043969 : Epoch  7, Batch     79, Loss  0.603355, Average Loss  0.602963, Time  0.240685
2021-09-15 22:51:18.571332 : Epoch  7, Batch     80, Loss  0.601320, Average Loss  0.603000, Time  0.235653
2021-09-15 22:51:19.782520 : Epoch  3, Batch    932, Loss  0.863130, Average Loss  0.868665, Time  0.265526
2021-09-15 22:51:20.095335 : Epoch  7, Batch     81, Loss  0.600271, Average Loss  0.602915, Time  0.236465
2021-09-15 22:51:21.609042 : Epoch  7, Batch     82, Loss  0.607028, Average Loss  0.602897, Time  0.236512
2021-09-15 22:51:22.797088 : Epoch  3, Batch    933, Loss  0.862599, Average Loss  0.868533, Time  0.265122
2021-09-15 22:51:23.151808 : Epoch  7, Batch     83, Loss  0.597736, Average Loss  0.602860, Time  0.236573
2021-09-15 22:51:24.675724 : Epoch  7, Batch     84, Loss  0.606361, Average Loss  0.602808, Time  0.236734
2021-09-15 22:51:25.718374 : Epoch  3, Batch    934, Loss  0.877697, Average Loss  0.868546, Time  0.265802
2021-09-15 22:51:26.195653 : Epoch  7, Batch     85, Loss  0.585064, Average Loss  0.602724, Time  0.238110
2021-09-15 22:51:27.714419 : Epoch  7, Batch     86, Loss  0.601932, Average Loss  0.602711, Time  0.236284
2021-09-15 22:51:28.694030 : Epoch  3, Batch    935, Loss  0.876083, Average Loss  0.868646, Time  0.265755
2021-09-15 22:51:29.240402 : Epoch  7, Batch     87, Loss  0.605146, Average Loss  0.602708, Time  0.236099
2021-09-15 22:51:30.772513 : Epoch  7, Batch     88, Loss  0.606850, Average Loss  0.602756, Time  0.238477
2021-09-15 22:51:31.710128 : Epoch  3, Batch    936, Loss  0.878479, Average Loss  0.868882, Time  0.264689
2021-09-15 22:51:32.306091 : Epoch  7, Batch     89, Loss  0.620590, Average Loss  0.602890, Time  0.238627
2021-09-15 22:51:33.835364 : Epoch  7, Batch     90, Loss  0.605107, Average Loss  0.602945, Time  0.239676
2021-09-15 22:51:34.725572 : Epoch  3, Batch    937, Loss  0.845631, Average Loss  0.868728, Time  0.266167
2021-09-15 22:51:35.352661 : Epoch  7, Batch     91, Loss  0.596246, Average Loss  0.602929, Time  0.235526
2021-09-15 22:51:36.875683 : Epoch  7, Batch     92, Loss  0.606402, Average Loss  0.602963, Time  0.236694
2021-09-15 22:51:37.712894 : Epoch  3, Batch    938, Loss  0.881367, Average Loss  0.868825, Time  0.266030
2021-09-15 22:51:38.399018 : Epoch  7, Batch     93, Loss  0.599329, Average Loss  0.602917, Time  0.236799
2021-09-15 22:51:39.918987 : Epoch  7, Batch     94, Loss  0.606490, Average Loss  0.602971, Time  0.237051
2021-09-15 22:51:40.739243 : Epoch  3, Batch    939, Loss  0.888474, Average Loss  0.868881, Time  0.280318
2021-09-15 22:51:41.446255 : Epoch  7, Batch     95, Loss  0.601859, Average Loss  0.602989, Time  0.238679
2021-09-15 22:51:42.968889 : Epoch  7, Batch     96, Loss  0.597305, Average Loss  0.602928, Time  0.236351
2021-09-15 22:51:43.728844 : Epoch  3, Batch    940, Loss  0.887590, Average Loss  0.869028, Time  0.266358
2021-09-15 22:51:44.482723 : Epoch  7, Batch     97, Loss  0.603115, Average Loss  0.602887, Time  0.238328
2021-09-15 22:51:46.001022 : Epoch  7, Batch     98, Loss  0.611423, Average Loss  0.602929, Time  0.237833
2021-09-15 22:51:46.734378 : Epoch  3, Batch    941, Loss  0.850451, Average Loss  0.868921, Time  0.265837
2021-09-15 22:51:47.521864 : Epoch  7, Batch     99, Loss  0.585521, Average Loss  0.602869, Time  0.236360
2021-09-15 22:51:49.034463 : Epoch  7, Batch    100, Loss  0.612017, Average Loss  0.602936, Time  0.236575
2021-09-15 22:51:49.759782 : Epoch  3, Batch    942, Loss  0.885277, Average Loss  0.869026, Time  0.267516
2021-09-15 22:51:50.559157 : Epoch  7, Batch    101, Loss  0.597151, Average Loss  0.602817, Time  0.235825
2021-09-15 22:51:52.085658 : Epoch  7, Batch    102, Loss  0.592422, Average Loss  0.602701, Time  0.236105
2021-09-15 22:51:52.789958 : Epoch  3, Batch    943, Loss  0.855371, Average Loss  0.868847, Time  0.267861
2021-09-15 22:51:53.615223 : Epoch  7, Batch    103, Loss  0.596035, Average Loss  0.602681, Time  0.237325
2021-09-15 22:51:55.131409 : Epoch  7, Batch    104, Loss  0.608351, Average Loss  0.602714, Time  0.236825
2021-09-15 22:51:55.815428 : Epoch  3, Batch    944, Loss  0.878026, Average Loss  0.868898, Time  0.265892
2021-09-15 22:51:56.649951 : Epoch  7, Batch    105, Loss  0.614257, Average Loss  0.602773, Time  0.235774
2021-09-15 22:51:58.188146 : Epoch  7, Batch    106, Loss  0.612956, Average Loss  0.602839, Time  0.237111
2021-09-15 22:51:58.821010 : Epoch  3, Batch    945, Loss  0.871901, Average Loss  0.868798, Time  0.266578
2021-09-15 22:51:59.699638 : Epoch  7, Batch    107, Loss  0.600447, Average Loss  0.602829, Time  0.237321
2021-09-15 22:52:01.224424 : Epoch  7, Batch    108, Loss  0.598479, Average Loss  0.602853, Time  0.236445
2021-09-15 22:52:01.840175 : Epoch  3, Batch    946, Loss  0.865507, Average Loss  0.868879, Time  0.266636
2021-09-15 22:52:02.751987 : Epoch  7, Batch    109, Loss  0.597259, Average Loss  0.602826, Time  0.237046
2021-09-15 22:52:04.274408 : Epoch  7, Batch    110, Loss  0.597471, Average Loss  0.602740, Time  0.236462
2021-09-15 22:52:04.849256 : Epoch  3, Batch    947, Loss  0.867843, Average Loss  0.868694, Time  0.265876
2021-09-15 22:52:05.792213 : Epoch  7, Batch    111, Loss  0.603276, Average Loss  0.602724, Time  0.236262
2021-09-15 22:52:07.318692 : Epoch  7, Batch    112, Loss  0.610696, Average Loss  0.602784, Time  0.237711
2021-09-15 22:52:07.854266 : Epoch  3, Batch    948, Loss  0.874838, Average Loss  0.868826, Time  0.265698
2021-09-15 22:52:08.842832 : Epoch  7, Batch    113, Loss  0.608608, Average Loss  0.602812, Time  0.238381
2021-09-15 22:52:10.364048 : Epoch  7, Batch    114, Loss  0.591399, Average Loss  0.602801, Time  0.236203
2021-09-15 22:52:10.886442 : Epoch  3, Batch    949, Loss  0.875041, Average Loss  0.868909, Time  0.264965
2021-09-15 22:52:11.895898 : Epoch  7, Batch    115, Loss  0.601686, Average Loss  0.602767, Time  0.236844
2021-09-15 22:52:13.429877 : Epoch  7, Batch    116, Loss  0.601427, Average Loss  0.602765, Time  0.240249
2021-09-15 22:52:13.878649 : Epoch  3, Batch    950, Loss  0.857660, Average Loss  0.868851, Time  0.265678
2021-09-15 22:52:14.958867 : Epoch  7, Batch    117, Loss  0.595032, Average Loss  0.602757, Time  0.236791
2021-09-15 22:52:16.485331 : Epoch  7, Batch    118, Loss  0.592882, Average Loss  0.602709, Time  0.237399
2021-09-15 22:52:16.908092 : Epoch  3, Batch    951, Loss  0.867691, Average Loss  0.868861, Time  0.265053
2021-09-15 22:52:18.009090 : Epoch  7, Batch    119, Loss  0.596570, Average Loss  0.602693, Time  0.236694
2021-09-15 22:52:19.535172 : Epoch  7, Batch    120, Loss  0.608420, Average Loss  0.602682, Time  0.236740
2021-09-15 22:52:19.877403 : Epoch  3, Batch    952, Loss  0.890167, Average Loss  0.869107, Time  0.265844
2021-09-15 22:52:21.055300 : Epoch  7, Batch    121, Loss  0.602343, Average Loss  0.602670, Time  0.235914
2021-09-15 22:52:22.586095 : Epoch  7, Batch    122, Loss  0.591788, Average Loss  0.602572, Time  0.237041
2021-09-15 22:52:22.865103 : Epoch  3, Batch    953, Loss  0.850325, Average Loss  0.868922, Time  0.265227
2021-09-15 22:52:24.113431 : Epoch  7, Batch    123, Loss  0.611665, Average Loss  0.602668, Time  0.235893
2021-09-15 22:52:25.634551 : Epoch  7, Batch    124, Loss  0.602756, Average Loss  0.602624, Time  0.235766
2021-09-15 22:52:25.862243 : Epoch  3, Batch    954, Loss  0.870253, Average Loss  0.869010, Time  0.278412
2021-09-15 22:52:27.153135 : Epoch  7, Batch    125, Loss  0.618823, Average Loss  0.602664, Time  0.236570
2021-09-15 22:52:28.688598 : Epoch  7, Batch    126, Loss  0.607378, Average Loss  0.602739, Time  0.236788
2021-09-15 22:52:28.841912 : Epoch  3, Batch    955, Loss  0.878226, Average Loss  0.868987, Time  0.265950
2021-09-15 22:52:30.211283 : Epoch  7, Batch    127, Loss  0.600826, Average Loss  0.602651, Time  0.235363
2021-09-15 22:52:31.730839 : Epoch  7, Batch    128, Loss  0.596809, Average Loss  0.602607, Time  0.236484
2021-09-15 22:52:31.811518 : Epoch  3, Batch    956, Loss  0.878913, Average Loss  0.868933, Time  0.266481
2021-09-15 22:52:33.268034 : Epoch  7, Batch    129, Loss  0.605442, Average Loss  0.602560, Time  0.238750
2021-09-15 22:52:34.804209 : Epoch  7, Batch    130, Loss  0.608878, Average Loss  0.602536, Time  0.238096
2021-09-15 22:52:34.812252 : Epoch  3, Batch    957, Loss  0.878878, Average Loss  0.869075, Time  0.265781
2021-09-15 22:52:36.341947 : Epoch  7, Batch    131, Loss  0.592913, Average Loss  0.602513, Time  0.235831
2021-09-15 22:52:37.851216 : Epoch  3, Batch    958, Loss  0.879460, Average Loss  0.869079, Time  0.266543
2021-09-15 22:52:37.856625 : Epoch  7, Batch    132, Loss  0.601309, Average Loss  0.602485, Time  0.235580
2021-09-15 22:52:39.394818 : Epoch  7, Batch    133, Loss  0.614374, Average Loss  0.602521, Time  0.236952
2021-09-15 22:52:40.849850 : Epoch  3, Batch    959, Loss  0.849352, Average Loss  0.868938, Time  0.265521
2021-09-15 22:52:40.943877 : Epoch  7, Batch    134, Loss  0.604215, Average Loss  0.602453, Time  0.235902
2021-09-15 22:52:42.453858 : Epoch  7, Batch    135, Loss  0.601846, Average Loss  0.602421, Time  0.235837
2021-09-15 22:52:43.867798 : Epoch  3, Batch    960, Loss  0.863389, Average Loss  0.868952, Time  0.265626
2021-09-15 22:52:43.976669 : Epoch  7, Batch    136, Loss  0.599704, Average Loss  0.602386, Time  0.235669
2021-09-15 22:52:45.487478 : Epoch  7, Batch    137, Loss  0.598938, Average Loss  0.602318, Time  0.237086
2021-09-15 22:52:46.856980 : Epoch  3, Batch    961, Loss  0.859582, Average Loss  0.868947, Time  0.266210
2021-09-15 22:52:47.006402 : Epoch  7, Batch    138, Loss  0.598428, Average Loss  0.602306, Time  0.235508
2021-09-15 22:52:48.519739 : Epoch  7, Batch    139, Loss  0.610155, Average Loss  0.602313, Time  0.236644
2021-09-15 22:52:49.874756 : Epoch  3, Batch    962, Loss  0.864625, Average Loss  0.868968, Time  0.265077
2021-09-15 22:52:50.037889 : Epoch  7, Batch    140, Loss  0.595208, Average Loss  0.602263, Time  0.237338
2021-09-15 22:52:51.558121 : Epoch  7, Batch    141, Loss  0.603583, Average Loss  0.602262, Time  0.237235
2021-09-15 22:52:52.861533 : Epoch  3, Batch    963, Loss  0.884223, Average Loss  0.869063, Time  0.266835
2021-09-15 22:52:53.084601 : Epoch  7, Batch    142, Loss  0.603327, Average Loss  0.602312, Time  0.237114
2021-09-15 22:52:54.598089 : Epoch  7, Batch    143, Loss  0.603367, Average Loss  0.602353, Time  0.236695
2021-09-15 22:52:55.847449 : Epoch  3, Batch    964, Loss  0.878188, Average Loss  0.869166, Time  0.265351
2021-09-15 22:52:56.117857 : Epoch  7, Batch    144, Loss  0.601307, Average Loss  0.602342, Time  0.236999
2021-09-15 22:52:57.640287 : Epoch  7, Batch    145, Loss  0.603880, Average Loss  0.602320, Time  0.238017
2021-09-15 22:52:58.869336 : Epoch  3, Batch    965, Loss  0.850995, Average Loss  0.869121, Time  0.265887
2021-09-15 22:52:59.159153 : Epoch  7, Batch    146, Loss  0.599404, Average Loss  0.602273, Time  0.235870
2021-09-15 22:53:00.673903 : Epoch  7, Batch    147, Loss  0.597665, Average Loss  0.602201, Time  0.236491
2021-09-15 22:53:01.882739 : Epoch  3, Batch    966, Loss  0.878915, Average Loss  0.869118, Time  0.266885
2021-09-15 22:53:02.199245 : Epoch  7, Batch    148, Loss  0.583954, Average Loss  0.602091, Time  0.236285
2021-09-15 22:53:04.890580 : Epoch  3, Batch    967, Loss  0.886199, Average Loss  0.869176, Time  0.265630
2021-09-15 22:53:06.052124 : Epoch  7, Batch    149, Loss  0.600767, Average Loss  0.602079, Time  0.264683
2021-09-15 22:53:07.574628 : Epoch  7, Batch    150, Loss  0.591869, Average Loss  0.602019, Time  0.244135
2021-09-15 22:53:07.879063 : Epoch  3, Batch    968, Loss  0.867118, Average Loss  0.869120, Time  0.265364
2021-09-15 22:53:09.100827 : Epoch  7, Batch    151, Loss  0.605322, Average Loss  0.602010, Time  0.236556
2021-09-15 22:53:10.626051 : Epoch  7, Batch    152, Loss  0.598149, Average Loss  0.602030, Time  0.236034
2021-09-15 22:53:10.873608 : Epoch  3, Batch    969, Loss  0.871897, Average Loss  0.869105, Time  0.277642
2021-09-15 22:53:12.139914 : Epoch  7, Batch    153, Loss  0.593474, Average Loss  0.601947, Time  0.236055
2021-09-15 22:53:13.648579 : Epoch  7, Batch    154, Loss  0.590325, Average Loss  0.601845, Time  0.236303
2021-09-15 22:53:13.864558 : Epoch  3, Batch    970, Loss  0.882987, Average Loss  0.869202, Time  0.264832
2021-09-15 22:53:15.163266 : Epoch  7, Batch    155, Loss  0.601140, Average Loss  0.601845, Time  0.235984
2021-09-15 22:53:16.683886 : Epoch  7, Batch    156, Loss  0.601762, Average Loss  0.601857, Time  0.236116
2021-09-15 22:53:16.833551 : Epoch  3, Batch    971, Loss  0.848018, Average Loss  0.869097, Time  0.266177
2021-09-15 22:53:18.220407 : Epoch  7, Batch    157, Loss  0.600258, Average Loss  0.601812, Time  0.239130
2021-09-15 22:53:19.731668 : Epoch  7, Batch    158, Loss  0.603999, Average Loss  0.601798, Time  0.235799
2021-09-15 22:53:19.816918 : Epoch  3, Batch    972, Loss  0.861485, Average Loss  0.869030, Time  0.266248
2021-09-15 22:53:21.250337 : Epoch  7, Batch    159, Loss  0.603331, Average Loss  0.601824, Time  0.235852
2021-09-15 22:53:22.767224 : Epoch  7, Batch    160, Loss  0.601464, Average Loss  0.601797, Time  0.236868
2021-09-15 22:53:22.822869 : Epoch  3, Batch    973, Loss  0.861147, Average Loss  0.869029, Time  0.265614
2021-09-15 22:53:24.277423 : Epoch  7, Batch    161, Loss  0.599344, Average Loss  0.601771, Time  0.235432
2021-09-15 22:53:25.791301 : Epoch  7, Batch    162, Loss  0.599291, Average Loss  0.601721, Time  0.236204
2021-09-15 22:53:25.806401 : Epoch  3, Batch    974, Loss  0.878009, Average Loss  0.869127, Time  0.265039
2021-09-15 22:53:27.304325 : Epoch  7, Batch    163, Loss  0.605089, Average Loss  0.601686, Time  0.237313
2021-09-15 22:53:28.789127 : Epoch  3, Batch    975, Loss  0.847905, Average Loss  0.869092, Time  0.265387
2021-09-15 22:53:28.812330 : Epoch  7, Batch    164, Loss  0.604033, Average Loss  0.601645, Time  0.235742
2021-09-15 22:53:30.305855 : Epoch  7, Batch    165, Loss  0.600535, Average Loss  0.601682, Time  0.237018
2021-09-15 22:53:31.800977 : Epoch  3, Batch    976, Loss  0.896816, Average Loss  0.869238, Time  0.265473
2021-09-15 22:53:31.821158 : Epoch  7, Batch    166, Loss  0.594539, Average Loss  0.601627, Time  0.236691
2021-09-15 22:53:33.347657 : Epoch  7, Batch    167, Loss  0.618575, Average Loss  0.601726, Time  0.235453
2021-09-15 22:53:34.791884 : Epoch  3, Batch    977, Loss  0.830472, Average Loss  0.869048, Time  0.264918
2021-09-15 22:53:34.860335 : Epoch  7, Batch    168, Loss  0.606313, Average Loss  0.601766, Time  0.235846
2021-09-15 22:53:36.376330 : Epoch  7, Batch    169, Loss  0.608862, Average Loss  0.601844, Time  0.236239
2021-09-15 22:53:37.785979 : Epoch  3, Batch    978, Loss  0.885368, Average Loss  0.869073, Time  0.265829
2021-09-15 22:53:37.891981 : Epoch  7, Batch    170, Loss  0.612550, Average Loss  0.601914, Time  0.236728
2021-09-15 22:53:39.404598 : Epoch  7, Batch    171, Loss  0.600181, Average Loss  0.601937, Time  0.238156
2021-09-15 22:53:40.781054 : Epoch  3, Batch    979, Loss  0.858681, Average Loss  0.869084, Time  0.265891
2021-09-15 22:53:40.928668 : Epoch  7, Batch    172, Loss  0.612071, Average Loss  0.602001, Time  0.236235
2021-09-15 22:53:42.428992 : Epoch  7, Batch    173, Loss  0.593674, Average Loss  0.602054, Time  0.235597
2021-09-15 22:53:43.785988 : Epoch  3, Batch    980, Loss  0.873753, Average Loss  0.869107, Time  0.266037
2021-09-15 22:53:43.943840 : Epoch  7, Batch    174, Loss  0.613358, Average Loss  0.602152, Time  0.237730
2021-09-15 22:53:45.452026 : Epoch  7, Batch    175, Loss  0.595272, Average Loss  0.602190, Time  0.236862
2021-09-15 22:53:46.797556 : Epoch  3, Batch    981, Loss  0.860754, Average Loss  0.869036, Time  0.266143
2021-09-15 22:53:46.964112 : Epoch  7, Batch    176, Loss  0.601326, Average Loss  0.602176, Time  0.236071
2021-09-15 22:53:48.469353 : Epoch  7, Batch    177, Loss  0.611652, Average Loss  0.602209, Time  0.235875
2021-09-15 22:53:49.788666 : Epoch  3, Batch    982, Loss  0.875510, Average Loss  0.869161, Time  0.265474
2021-09-15 22:53:49.977367 : Epoch  7, Batch    178, Loss  0.601946, Average Loss  0.602201, Time  0.236500
2021-09-15 22:53:52.778490 : Epoch  3, Batch    983, Loss  0.862482, Average Loss  0.869204, Time  0.267431
2021-09-15 22:53:55.804470 : Epoch  3, Batch    984, Loss  0.860483, Average Loss  0.869013, Time  0.277360
2021-09-15 22:53:58.834162 : Epoch  3, Batch    985, Loss  0.850797, Average Loss  0.868932, Time  0.267507
2021-09-15 22:54:01.874027 : Epoch  3, Batch    986, Loss  0.869045, Average Loss  0.868990, Time  0.266052
2021-09-15 22:54:04.864957 : Epoch  3, Batch    987, Loss  0.876885, Average Loss  0.869117, Time  0.265913
2021-09-15 22:54:07.889138 : Epoch  3, Batch    988, Loss  0.855373, Average Loss  0.869134, Time  0.266796
2021-09-15 22:54:46.752762 : CheckPoint: Validation Loss  0.00024562, Best Loss  0.00024241
2021-09-15 22:54:48.278198 : Epoch  7, Batch    179, Loss  0.608773, Average Loss  0.602195, Time  0.239117
2021-09-15 22:54:49.802158 : Epoch  7, Batch    180, Loss  0.602902, Average Loss  0.602207, Time  0.235592
2021-09-15 22:54:51.316240 : Epoch  7, Batch    181, Loss  0.606948, Average Loss  0.602228, Time  0.235811
2021-09-15 22:54:52.842394 : Epoch  7, Batch    182, Loss  0.589955, Average Loss  0.602141, Time  0.235990
2021-09-15 22:54:54.365383 : Epoch  7, Batch    183, Loss  0.601916, Average Loss  0.602145, Time  0.236232
2021-09-15 22:54:55.886688 : Epoch  7, Batch    184, Loss  0.589096, Average Loss  0.602132, Time  0.235898
2021-09-15 22:54:57.401099 : Epoch  7, Batch    185, Loss  0.595136, Average Loss  0.602104, Time  0.237170
2021-09-15 22:54:58.921419 : Epoch  7, Batch    186, Loss  0.593354, Average Loss  0.602062, Time  0.235865
2021-09-15 22:55:00.466084 : Epoch  7, Batch    187, Loss  0.596471, Average Loss  0.601981, Time  0.236058
2021-09-15 22:55:01.980493 : Epoch  7, Batch    188, Loss  0.604755, Average Loss  0.602030, Time  0.236222
2021-09-15 22:55:03.510871 : Epoch  7, Batch    189, Loss  0.593459, Average Loss  0.601938, Time  0.250468
2021-09-15 22:55:05.030035 : Epoch  7, Batch    190, Loss  0.615723, Average Loss  0.602007, Time  0.236921
2021-09-15 22:55:06.561148 : Epoch  7, Batch    191, Loss  0.598189, Average Loss  0.602006, Time  0.237563
2021-09-15 22:55:08.094984 : Epoch  7, Batch    192, Loss  0.611598, Average Loss  0.602013, Time  0.235625
2021-09-15 22:55:09.616281 : Epoch  7, Batch    193, Loss  0.595102, Average Loss  0.601995, Time  0.241225
2021-09-15 22:55:11.133415 : Epoch  7, Batch    194, Loss  0.613193, Average Loss  0.602123, Time  0.236722
2021-09-15 22:55:12.643504 : Epoch  7, Batch    195, Loss  0.605773, Average Loss  0.602133, Time  0.235714
2021-09-15 22:55:14.162047 : Epoch  7, Batch    196, Loss  0.589113, Average Loss  0.602077, Time  0.235956
2021-09-15 22:55:15.681206 : Epoch  7, Batch    197, Loss  0.612262, Average Loss  0.602107, Time  0.237056
2021-09-15 22:55:17.195710 : Epoch  7, Batch    198, Loss  0.589266, Average Loss  0.602027, Time  0.235817
2021-09-15 22:55:18.709215 : Epoch  7, Batch    199, Loss  0.605686, Average Loss  0.602050, Time  0.237465
2021-09-15 22:55:20.230012 : Epoch  7, Batch    200, Loss  0.608278, Average Loss  0.602067, Time  0.235734
2021-09-15 22:55:21.743918 : Epoch  7, Batch    201, Loss  0.607830, Average Loss  0.602107, Time  0.237011
2021-09-15 22:55:23.270221 : Epoch  7, Batch    202, Loss  0.602890, Average Loss  0.602118, Time  0.236670
2021-09-15 22:55:24.783229 : Epoch  7, Batch    203, Loss  0.594336, Average Loss  0.602080, Time  0.237182
2021-09-15 22:55:26.300980 : Epoch  7, Batch    204, Loss  0.603166, Average Loss  0.602083, Time  0.236988
2021-09-15 22:55:27.823865 : Epoch  7, Batch    205, Loss  0.605748, Average Loss  0.602070, Time  0.236187
2021-09-15 22:55:29.335940 : Epoch  7, Batch    206, Loss  0.605253, Average Loss  0.602084, Time  0.235447
2021-09-15 22:55:30.855367 : Epoch  7, Batch    207, Loss  0.608339, Average Loss  0.602149, Time  0.235706
2021-09-15 22:55:32.381658 : Epoch  7, Batch    208, Loss  0.599761, Average Loss  0.602098, Time  0.236167
2021-09-15 22:55:33.900026 : Epoch  7, Batch    209, Loss  0.599925, Average Loss  0.602151, Time  0.235806
2021-09-15 22:55:35.428849 : Epoch  7, Batch    210, Loss  0.598778, Average Loss  0.602115, Time  0.236659
2021-09-15 22:55:36.949586 : Epoch  7, Batch    211, Loss  0.613364, Average Loss  0.602185, Time  0.236939
2021-09-15 22:55:38.473689 : Epoch  7, Batch    212, Loss  0.598163, Average Loss  0.602165, Time  0.236203
2021-09-15 22:55:39.993270 : Epoch  7, Batch    213, Loss  0.595525, Average Loss  0.602129, Time  0.235844
2021-09-15 22:55:41.511732 : Epoch  7, Batch    214, Loss  0.598485, Average Loss  0.602121, Time  0.235871
2021-09-15 22:55:43.034021 : Epoch  7, Batch    215, Loss  0.602236, Average Loss  0.602095, Time  0.235837
2021-09-15 22:55:44.553385 : Epoch  7, Batch    216, Loss  0.594549, Average Loss  0.602088, Time  0.235770
2021-09-15 22:55:46.074975 : Epoch  7, Batch    217, Loss  0.597355, Average Loss  0.602069, Time  0.240546
2021-09-15 22:55:47.595865 : Epoch  7, Batch    218, Loss  0.597221, Average Loss  0.602055, Time  0.236080
2021-09-15 22:55:49.114096 : Epoch  7, Batch    219, Loss  0.601857, Average Loss  0.602067, Time  0.236454
2021-09-15 22:55:50.630406 : Epoch  7, Batch    220, Loss  0.607297, Average Loss  0.602045, Time  0.236522
2021-09-15 22:55:52.145316 : Epoch  7, Batch    221, Loss  0.598414, Average Loss  0.602011, Time  0.235722
2021-09-15 22:55:53.667950 : Epoch  7, Batch    222, Loss  0.610708, Average Loss  0.602105, Time  0.235967
2021-09-15 22:55:55.188234 : Epoch  7, Batch    223, Loss  0.603851, Average Loss  0.602078, Time  0.235759
2021-09-15 22:55:56.710353 : Epoch  7, Batch    224, Loss  0.588565, Average Loss  0.602020, Time  0.236225
2021-09-15 22:55:58.240985 : Epoch  7, Batch    225, Loss  0.609489, Average Loss  0.602031, Time  0.236626
2021-09-15 22:55:59.756861 : Epoch  7, Batch    226, Loss  0.597282, Average Loss  0.602044, Time  0.235949
2021-09-15 22:56:01.280020 : Epoch  7, Batch    227, Loss  0.596229, Average Loss  0.602016, Time  0.237340
2021-09-15 22:56:02.799549 : Epoch  7, Batch    228, Loss  0.598819, Average Loss  0.602038, Time  0.236346
2021-09-15 22:56:04.333720 : Epoch  7, Batch    229, Loss  0.599213, Average Loss  0.602073, Time  0.236233
2021-09-15 22:56:05.850730 : Epoch  7, Batch    230, Loss  0.596216, Average Loss  0.601981, Time  0.235938
2021-09-15 22:56:07.376274 : Epoch  7, Batch    231, Loss  0.595502, Average Loss  0.601979, Time  0.237216
2021-09-15 22:56:08.890690 : Epoch  7, Batch    232, Loss  0.611288, Average Loss  0.602074, Time  0.235585
2021-09-15 22:56:10.410707 : Epoch  7, Batch    233, Loss  0.616599, Average Loss  0.602158, Time  0.235644
2021-09-15 22:56:11.933716 : Epoch  7, Batch    234, Loss  0.607229, Average Loss  0.602127, Time  0.235626
2021-09-15 22:56:13.460631 : Epoch  7, Batch    235, Loss  0.588409, Average Loss  0.602036, Time  0.236174
2021-09-15 22:56:14.974400 : Epoch  7, Batch    236, Loss  0.609905, Average Loss  0.602124, Time  0.235623
2021-09-15 22:56:16.495228 : Epoch  7, Batch    237, Loss  0.594534, Average Loss  0.602084, Time  0.236308
2021-09-15 22:56:18.008422 : Epoch  7, Batch    238, Loss  0.600249, Average Loss  0.602127, Time  0.235432
2021-09-15 22:56:19.528686 : Epoch  7, Batch    239, Loss  0.597091, Average Loss  0.602068, Time  0.235877
2021-09-15 22:56:21.051846 : Epoch  7, Batch    240, Loss  0.597175, Average Loss  0.602123, Time  0.235927
2021-09-15 22:56:22.578934 : Epoch  7, Batch    241, Loss  0.593303, Average Loss  0.601997, Time  0.236566
2021-09-15 22:56:24.114843 : Epoch  7, Batch    242, Loss  0.615832, Average Loss  0.602026, Time  0.238080
2021-09-15 22:56:25.628744 : Epoch  7, Batch    243, Loss  0.609250, Average Loss  0.602124, Time  0.235591
2021-09-15 22:56:27.139439 : Epoch  7, Batch    244, Loss  0.605402, Average Loss  0.602134, Time  0.235933
2021-09-15 22:56:28.665089 : Epoch  7, Batch    245, Loss  0.612047, Average Loss  0.602162, Time  0.236002
2021-09-15 22:56:30.187217 : Epoch  7, Batch    246, Loss  0.605523, Average Loss  0.602222, Time  0.235971
2021-09-15 22:56:31.714278 : Epoch  7, Batch    247, Loss  0.607552, Average Loss  0.602246, Time  0.238010
2021-09-15 22:56:33.241452 : Epoch  7, Batch    248, Loss  0.598146, Average Loss  0.602217, Time  0.235656
2021-09-15 22:56:37.130402 : Epoch  7, Batch    249, Loss  0.603373, Average Loss  0.602221, Time  0.262694
2021-09-15 22:56:38.664195 : Epoch  7, Batch    250, Loss  0.594946, Average Loss  0.602241, Time  0.242461
2021-09-15 22:56:40.177746 : Epoch  7, Batch    251, Loss  0.618860, Average Loss  0.602358, Time  0.235907
2021-09-15 22:56:41.708739 : Epoch  7, Batch    252, Loss  0.594435, Average Loss  0.602330, Time  0.237856
2021-09-15 22:56:43.225106 : Epoch  7, Batch    253, Loss  0.602219, Average Loss  0.602338, Time  0.237814
2021-09-15 22:56:44.738216 : Epoch  7, Batch    254, Loss  0.598555, Average Loss  0.602276, Time  0.236766
2021-09-15 22:56:46.249184 : Epoch  7, Batch    255, Loss  0.599340, Average Loss  0.602265, Time  0.237049
2021-09-15 22:56:47.774421 : Epoch  7, Batch    256, Loss  0.621660, Average Loss  0.602263, Time  0.236155
2021-09-15 22:56:49.292272 : Epoch  7, Batch    257, Loss  0.596873, Average Loss  0.602216, Time  0.236830
2021-09-15 22:56:50.798177 : Epoch  7, Batch    258, Loss  0.600855, Average Loss  0.602204, Time  0.236182
2021-09-15 22:56:52.320039 : Epoch  7, Batch    259, Loss  0.596480, Average Loss  0.602206, Time  0.237732
2021-09-15 22:56:53.837850 : Epoch  7, Batch    260, Loss  0.598689, Average Loss  0.602157, Time  0.236773
2021-09-15 22:56:55.360002 : Epoch  7, Batch    261, Loss  0.593318, Average Loss  0.602202, Time  0.235971
2021-09-15 22:56:56.879727 : Epoch  7, Batch    262, Loss  0.598612, Average Loss  0.602202, Time  0.236414
2021-09-15 22:56:58.394883 : Epoch  7, Batch    263, Loss  0.606872, Average Loss  0.602238, Time  0.237201
2021-09-15 22:56:59.915378 : Epoch  7, Batch    264, Loss  0.601119, Average Loss  0.602208, Time  0.236852
2021-09-15 22:57:01.435041 : Epoch  7, Batch    265, Loss  0.602580, Average Loss  0.602189, Time  0.236245
2021-09-15 22:57:02.957891 : Epoch  7, Batch    266, Loss  0.606434, Average Loss  0.602171, Time  0.236629
2021-09-15 22:57:04.475403 : Epoch  7, Batch    267, Loss  0.606892, Average Loss  0.602143, Time  0.236283
2021-09-15 22:57:05.993072 : Epoch  7, Batch    268, Loss  0.601669, Average Loss  0.602121, Time  0.235933
2021-09-15 22:57:07.511512 : Epoch  7, Batch    269, Loss  0.605440, Average Loss  0.602164, Time  0.235924
2021-09-15 22:57:09.040047 : Epoch  7, Batch    270, Loss  0.609762, Average Loss  0.602213, Time  0.235933
2021-09-15 22:57:10.559065 : Epoch  7, Batch    271, Loss  0.604218, Average Loss  0.602159, Time  0.236008
2021-09-15 22:57:12.081859 : Epoch  7, Batch    272, Loss  0.614191, Average Loss  0.602268, Time  0.236473
2021-09-15 22:57:13.598678 : Epoch  7, Batch    273, Loss  0.605910, Average Loss  0.602271, Time  0.235667
2021-09-15 22:57:15.112533 : Epoch  7, Batch    274, Loss  0.603908, Average Loss  0.602258, Time  0.236359
2021-09-15 22:57:16.621029 : Epoch  7, Batch    275, Loss  0.607111, Average Loss  0.602278, Time  0.236824
2021-09-15 22:57:18.141117 : Epoch  7, Batch    276, Loss  0.591662, Average Loss  0.602192, Time  0.235968
2021-09-15 22:57:19.659416 : Epoch  7, Batch    277, Loss  0.589013, Average Loss  0.602095, Time  0.236175
2021-09-15 22:57:23.417001 : Epoch  7, Batch    278, Loss  0.603032, Average Loss  0.602085, Time  0.271154
2021-09-15 22:58:19.667592 : CheckPoint: Validation Loss  0.00025494, Best Loss  0.00024241
2021-09-15 22:58:21.195746 : Epoch  7, Batch    279, Loss  0.590281, Average Loss  0.602019, Time  0.236252
2021-09-15 22:58:22.727033 : Epoch  7, Batch    280, Loss  0.616587, Average Loss  0.602096, Time  0.235973
2021-09-15 22:58:24.253636 : Epoch  7, Batch    281, Loss  0.601459, Average Loss  0.602102, Time  0.236133
2021-09-15 22:58:25.770999 : Epoch  7, Batch    282, Loss  0.595363, Average Loss  0.602043, Time  0.235932
2021-09-15 22:58:27.300649 : Epoch  7, Batch    283, Loss  0.613256, Average Loss  0.602121, Time  0.236815
2021-09-15 22:58:28.828376 : Epoch  7, Batch    284, Loss  0.609074, Average Loss  0.602134, Time  0.236655
2021-09-15 22:58:30.349756 : Epoch  7, Batch    285, Loss  0.613471, Average Loss  0.602276, Time  0.236181
2021-09-15 22:58:31.874668 : Epoch  7, Batch    286, Loss  0.603981, Average Loss  0.602287, Time  0.235624
2021-09-15 22:58:33.396346 : Epoch  7, Batch    287, Loss  0.602367, Average Loss  0.602273, Time  0.235723
2021-09-15 22:58:34.915407 : Epoch  7, Batch    288, Loss  0.604616, Average Loss  0.602262, Time  0.235719
2021-09-15 22:58:36.454452 : Epoch  7, Batch    289, Loss  0.592853, Average Loss  0.602123, Time  0.235686
2021-09-15 22:58:37.974937 : Epoch  7, Batch    290, Loss  0.601365, Average Loss  0.602104, Time  0.235762
2021-09-15 22:58:39.495373 : Epoch  7, Batch    291, Loss  0.601504, Average Loss  0.602130, Time  0.235415
2021-09-15 22:58:41.021883 : Epoch  7, Batch    292, Loss  0.611686, Average Loss  0.602157, Time  0.236269
2021-09-15 22:58:42.542420 : Epoch  7, Batch    293, Loss  0.601239, Average Loss  0.602166, Time  0.235933
2021-09-15 22:58:44.068063 : Epoch  7, Batch    294, Loss  0.599789, Average Loss  0.602133, Time  0.237413
2021-09-15 22:58:45.594396 : Epoch  7, Batch    295, Loss  0.599803, Average Loss  0.602123, Time  0.236602
2021-09-15 22:58:46.398341 : CheckPoint: Validation Loss  0.00030337, Best Loss  0.00029429
2021-09-15 22:58:47.113744 : Epoch  7, Batch    296, Loss  0.601305, Average Loss  0.602143, Time  0.235837
2021-09-15 22:58:48.631148 : Epoch  7, Batch    297, Loss  0.611417, Average Loss  0.602184, Time  0.237099
2021-09-15 22:58:49.413832 : Epoch  3, Batch    989, Loss  0.874988, Average Loss  0.869217, Time  0.268708
2021-09-15 22:58:50.145735 : Epoch  7, Batch    298, Loss  0.586718, Average Loss  0.602061, Time  0.236053
2021-09-15 22:58:51.667048 : Epoch  7, Batch    299, Loss  0.613911, Average Loss  0.602203, Time  0.235805
2021-09-15 22:58:52.439032 : Epoch  3, Batch    990, Loss  0.856515, Average Loss  0.869004, Time  0.265370
2021-09-15 22:58:53.190394 : Epoch  7, Batch    300, Loss  0.597005, Average Loss  0.602128, Time  0.235660
2021-09-15 22:58:54.711741 : Epoch  7, Batch    301, Loss  0.602665, Average Loss  0.602155, Time  0.235490
2021-09-15 22:58:55.449292 : Epoch  3, Batch    991, Loss  0.866942, Average Loss  0.869070, Time  0.265162
2021-09-15 22:58:56.237678 : Epoch  7, Batch    302, Loss  0.609094, Average Loss  0.602238, Time  0.236824
2021-09-15 22:58:57.759226 : Epoch  7, Batch    303, Loss  0.601639, Average Loss  0.602266, Time  0.235772
2021-09-15 22:58:58.470876 : Epoch  3, Batch    992, Loss  0.856164, Average Loss  0.869036, Time  0.266472
2021-09-15 22:58:59.278274 : Epoch  7, Batch    304, Loss  0.604073, Average Loss  0.602245, Time  0.236618
2021-09-15 22:59:00.798916 : Epoch  7, Batch    305, Loss  0.610834, Average Loss  0.602228, Time  0.236137
2021-09-15 22:59:01.492933 : Epoch  3, Batch    993, Loss  0.874288, Average Loss  0.869093, Time  0.267605
2021-09-15 22:59:02.324716 : Epoch  7, Batch    306, Loss  0.618007, Average Loss  0.602253, Time  0.235960
2021-09-15 22:59:03.846197 : Epoch  7, Batch    307, Loss  0.607558, Average Loss  0.602289, Time  0.236519
2021-09-15 22:59:04.508407 : Epoch  3, Batch    994, Loss  0.857670, Average Loss  0.869006, Time  0.266191
2021-09-15 22:59:05.370614 : Epoch  7, Batch    308, Loss  0.609710, Average Loss  0.602345, Time  0.236012
2021-09-15 22:59:06.893365 : Epoch  7, Batch    309, Loss  0.605411, Average Loss  0.602386, Time  0.236855
2021-09-15 22:59:07.516466 : Epoch  3, Batch    995, Loss  0.872964, Average Loss  0.869027, Time  0.265471
2021-09-15 22:59:08.421655 : Epoch  7, Batch    310, Loss  0.606720, Average Loss  0.602432, Time  0.235787
2021-09-15 22:59:09.948886 : Epoch  7, Batch    311, Loss  0.598345, Average Loss  0.602407, Time  0.237381
2021-09-15 22:59:10.508441 : Epoch  3, Batch    996, Loss  0.863982, Average Loss  0.869022, Time  0.266013
2021-09-15 22:59:11.480607 : Epoch  7, Batch    312, Loss  0.602989, Average Loss  0.602369, Time  0.237761
2021-09-15 22:59:13.018998 : Epoch  7, Batch    313, Loss  0.590957, Average Loss  0.602281, Time  0.237524
2021-09-15 22:59:13.507716 : Epoch  3, Batch    997, Loss  0.890011, Average Loss  0.869128, Time  0.265986
2021-09-15 22:59:14.541559 : Epoch  7, Batch    314, Loss  0.602457, Average Loss  0.602336, Time  0.235740
2021-09-15 22:59:16.069941 : Epoch  7, Batch    315, Loss  0.592426, Average Loss  0.602290, Time  0.236650
2021-09-15 22:59:16.535695 : Epoch  3, Batch    998, Loss  0.865873, Average Loss  0.869150, Time  0.263592
2021-09-15 22:59:17.595846 : Epoch  7, Batch    316, Loss  0.595545, Average Loss  0.602260, Time  0.236727
2021-09-15 22:59:19.118251 : Epoch  7, Batch    317, Loss  0.616519, Average Loss  0.602368, Time  0.235797
2021-09-15 22:59:19.514386 : Epoch  3, Batch    999, Loss  0.847895, Average Loss  0.869111, Time  0.266005
2021-09-15 22:59:20.648438 : Epoch  7, Batch    318, Loss  0.604319, Average Loss  0.602425, Time  0.236692
2021-09-15 22:59:22.173091 : Epoch  7, Batch    319, Loss  0.595041, Average Loss  0.602417, Time  0.236628
2021-09-15 22:59:22.495476 : Epoch  3, Batch   1000, Loss  0.864857, Average Loss  0.869155, Time  0.265443
2021-09-15 22:59:23.702438 : Epoch  7, Batch    320, Loss  0.597429, Average Loss  0.602362, Time  0.238337
2021-09-15 22:59:25.231940 : Epoch  7, Batch    321, Loss  0.617458, Average Loss  0.602438, Time  0.237330
2021-09-15 22:59:25.511207 : Epoch  3, Batch   1001, Loss  0.856394, Average Loss  0.869046, Time  0.278711
2021-09-15 22:59:26.755641 : Epoch  7, Batch    322, Loss  0.596350, Average Loss  0.602461, Time  0.236971
2021-09-15 22:59:28.279879 : Epoch  7, Batch    323, Loss  0.605728, Average Loss  0.602431, Time  0.237657
2021-09-15 22:59:28.512015 : Epoch  3, Batch   1002, Loss  0.871816, Average Loss  0.869117, Time  0.266253
2021-09-15 22:59:29.804644 : Epoch  7, Batch    324, Loss  0.610129, Average Loss  0.602468, Time  0.235860
2021-09-15 22:59:31.339952 : Epoch  7, Batch    325, Loss  0.598240, Average Loss  0.602365, Time  0.236387
2021-09-15 22:59:31.503941 : Epoch  3, Batch   1003, Loss  0.884784, Average Loss  0.869232, Time  0.268066
2021-09-15 22:59:32.868450 : Epoch  7, Batch    326, Loss  0.600534, Average Loss  0.602331, Time  0.236501
2021-09-15 22:59:34.404462 : Epoch  7, Batch    327, Loss  0.607837, Average Loss  0.602366, Time  0.239341
2021-09-15 22:59:34.510994 : Epoch  3, Batch   1004, Loss  0.868804, Average Loss  0.869232, Time  0.266820
2021-09-15 22:59:35.928944 : Epoch  7, Batch    328, Loss  0.594529, Average Loss  0.602354, Time  0.235932
2021-09-15 22:59:37.451770 : Epoch  7, Batch    329, Loss  0.615326, Average Loss  0.602404, Time  0.235395
2021-09-15 22:59:37.499468 : Epoch  3, Batch   1005, Loss  0.903264, Average Loss  0.869488, Time  0.266059
2021-09-15 22:59:38.988596 : Epoch  7, Batch    330, Loss  0.601261, Average Loss  0.602366, Time  0.237099
2021-09-15 22:59:40.486522 : Epoch  3, Batch   1006, Loss  0.857836, Average Loss  0.869441, Time  0.265533
2021-09-15 22:59:40.509814 : Epoch  7, Batch    331, Loss  0.592354, Average Loss  0.602363, Time  0.236508
2021-09-15 22:59:42.036136 : Epoch  7, Batch    332, Loss  0.595256, Average Loss  0.602332, Time  0.235914
2021-09-15 22:59:43.503087 : Epoch  3, Batch   1007, Loss  0.878280, Average Loss  0.869436, Time  0.265933
2021-09-15 22:59:43.559739 : Epoch  7, Batch    333, Loss  0.608747, Average Loss  0.602304, Time  0.236240
2021-09-15 22:59:45.078334 : Epoch  7, Batch    334, Loss  0.605526, Average Loss  0.602311, Time  0.238003
2021-09-15 22:59:46.515515 : Epoch  3, Batch   1008, Loss  0.866220, Average Loss  0.869421, Time  0.265996
2021-09-15 22:59:46.610349 : Epoch  7, Batch    335, Loss  0.590329, Average Loss  0.602253, Time  0.235536
2021-09-15 22:59:48.127851 : Epoch  7, Batch    336, Loss  0.605995, Average Loss  0.602285, Time  0.236671
2021-09-15 22:59:49.519909 : Epoch  3, Batch   1009, Loss  0.869890, Average Loss  0.869476, Time  0.264467
2021-09-15 22:59:49.647747 : Epoch  7, Batch    337, Loss  0.597630, Average Loss  0.602278, Time  0.236231
2021-09-15 22:59:51.154122 : Epoch  7, Batch    338, Loss  0.603994, Average Loss  0.602306, Time  0.235993
2021-09-15 22:59:52.494229 : Epoch  3, Batch   1010, Loss  0.865612, Average Loss  0.869451, Time  0.266270
2021-09-15 22:59:52.682051 : Epoch  7, Batch    339, Loss  0.609466, Average Loss  0.602303, Time  0.236724
2021-09-15 22:59:54.196407 : Epoch  7, Batch    340, Loss  0.604995, Average Loss  0.602352, Time  0.236040
2021-09-15 22:59:55.504812 : Epoch  3, Batch   1011, Loss  0.856339, Average Loss  0.869385, Time  0.265261
2021-09-15 22:59:55.722267 : Epoch  7, Batch    341, Loss  0.605440, Average Loss  0.602361, Time  0.236455
2021-09-15 22:59:57.232465 : Epoch  7, Batch    342, Loss  0.590100, Average Loss  0.602295, Time  0.235898
2021-09-15 22:59:58.470453 : Epoch  3, Batch   1012, Loss  0.881137, Average Loss  0.869489, Time  0.264885
2021-09-15 22:59:58.749701 : Epoch  7, Batch    343, Loss  0.607180, Average Loss  0.602314, Time  0.235656
2021-09-15 23:00:00.262706 : Epoch  7, Batch    344, Loss  0.600595, Average Loss  0.602310, Time  0.237350
2021-09-15 23:00:01.484266 : Epoch  3, Batch   1013, Loss  0.854164, Average Loss  0.869410, Time  0.265804
2021-09-15 23:00:01.793887 : Epoch  7, Batch    345, Loss  0.603772, Average Loss  0.602310, Time  0.235950
2021-09-15 23:00:03.312398 : Epoch  7, Batch    346, Loss  0.597735, Average Loss  0.602301, Time  0.236969
2021-09-15 23:00:04.482373 : Epoch  3, Batch   1014, Loss  0.883405, Average Loss  0.869487, Time  0.266062
2021-09-15 23:00:04.841778 : Epoch  7, Batch    347, Loss  0.613563, Average Loss  0.602381, Time  0.235675
2021-09-15 23:00:06.363859 : Epoch  7, Batch    348, Loss  0.608369, Average Loss  0.602503, Time  0.236294
2021-09-15 23:00:07.509404 : Epoch  3, Batch   1015, Loss  0.872328, Average Loss  0.869562, Time  0.264805
2021-09-15 23:00:10.263419 : Epoch  7, Batch    349, Loss  0.610166, Average Loss  0.602550, Time  0.269183
2021-09-15 23:00:10.531580 : Epoch  3, Batch   1016, Loss  0.875159, Average Loss  0.869519, Time  0.277524
2021-09-15 23:00:11.790636 : Epoch  7, Batch    350, Loss  0.607587, Average Loss  0.602628, Time  0.241875
2021-09-15 23:00:13.307367 : Epoch  7, Batch    351, Loss  0.603641, Average Loss  0.602620, Time  0.236674
2021-09-15 23:00:13.552669 : Epoch  3, Batch   1017, Loss  0.867207, Average Loss  0.869523, Time  0.265970
2021-09-15 23:00:14.827150 : Epoch  7, Batch    352, Loss  0.608800, Average Loss  0.602673, Time  0.238778
2021-09-15 23:00:16.339390 : Epoch  7, Batch    353, Loss  0.602719, Average Loss  0.602720, Time  0.236975
2021-09-15 23:00:16.570047 : Epoch  3, Batch   1018, Loss  0.857308, Average Loss  0.869493, Time  0.265712
2021-09-15 23:00:17.856668 : Epoch  7, Batch    354, Loss  0.603059, Average Loss  0.602783, Time  0.237583
2021-09-15 23:00:19.378279 : Epoch  7, Batch    355, Loss  0.610976, Average Loss  0.602832, Time  0.235732
2021-09-15 23:00:19.559322 : Epoch  3, Batch   1019, Loss  0.862302, Average Loss  0.869546, Time  0.265697
2021-09-15 23:00:20.907739 : Epoch  7, Batch    356, Loss  0.591406, Average Loss  0.602781, Time  0.236612
2021-09-15 23:00:22.429689 : Epoch  7, Batch    357, Loss  0.605915, Average Loss  0.602809, Time  0.235758
2021-09-15 23:00:22.540802 : Epoch  3, Batch   1020, Loss  0.867971, Average Loss  0.869521, Time  0.265003
2021-09-15 23:00:23.942699 : Epoch  7, Batch    358, Loss  0.606206, Average Loss  0.602820, Time  0.235586
2021-09-15 23:00:25.486100 : Epoch  7, Batch    359, Loss  0.593959, Average Loss  0.602773, Time  0.236065
2021-09-15 23:00:25.553181 : Epoch  3, Batch   1021, Loss  0.852144, Average Loss  0.869398, Time  0.265874
2021-09-15 23:00:27.016466 : Epoch  7, Batch    360, Loss  0.613941, Average Loss  0.602835, Time  0.236754
2021-09-15 23:00:28.535268 : Epoch  7, Batch    361, Loss  0.604917, Average Loss  0.602863, Time  0.236083
2021-09-15 23:00:28.573349 : Epoch  3, Batch   1022, Loss  0.873913, Average Loss  0.869455, Time  0.265838
2021-09-15 23:00:30.053844 : Epoch  7, Batch    362, Loss  0.595728, Average Loss  0.602846, Time  0.236251
2021-09-15 23:00:31.579445 : Epoch  7, Batch    363, Loss  0.604120, Average Loss  0.602841, Time  0.235572
2021-09-15 23:00:31.586018 : Epoch  3, Batch   1023, Loss  0.873118, Average Loss  0.869481, Time  0.266625
2021-09-15 23:00:33.097666 : Epoch  7, Batch    364, Loss  0.591078, Average Loss  0.602776, Time  0.235545
2021-09-15 23:00:34.602221 : Epoch  3, Batch   1024, Loss  0.883568, Average Loss  0.869541, Time  0.266802
2021-09-15 23:00:34.621734 : Epoch  7, Batch    365, Loss  0.598701, Average Loss  0.602767, Time  0.236269
2021-09-15 23:00:36.164019 : Epoch  7, Batch    366, Loss  0.597631, Average Loss  0.602782, Time  0.237435
2021-09-15 23:00:37.587806 : Epoch  3, Batch   1025, Loss  0.877465, Average Loss  0.869542, Time  0.265939
2021-09-15 23:00:37.683650 : Epoch  7, Batch    367, Loss  0.599165, Average Loss  0.602685, Time  0.236718
2021-09-15 23:00:39.189722 : Epoch  7, Batch    368, Loss  0.605969, Average Loss  0.602683, Time  0.236762
2021-09-15 23:00:40.579434 : Epoch  3, Batch   1026, Loss  0.855003, Average Loss  0.869493, Time  0.265480
2021-09-15 23:00:40.711379 : Epoch  7, Batch    369, Loss  0.594548, Average Loss  0.602612, Time  0.236321
2021-09-15 23:00:42.225817 : Epoch  7, Batch    370, Loss  0.598411, Average Loss  0.602541, Time  0.235735
2021-09-15 23:00:43.571946 : Epoch  3, Batch   1027, Loss  0.880825, Average Loss  0.869520, Time  0.265975
2021-09-15 23:00:43.745289 : Epoch  7, Batch    371, Loss  0.607562, Average Loss  0.602578, Time  0.236355
2021-09-15 23:00:45.246819 : Epoch  7, Batch    372, Loss  0.596294, Average Loss  0.602499, Time  0.235576
2021-09-15 23:00:46.586764 : Epoch  3, Batch   1028, Loss  0.872769, Average Loss  0.869517, Time  0.266365
2021-09-15 23:00:46.762818 : Epoch  7, Batch    373, Loss  0.598290, Average Loss  0.602522, Time  0.235759
2021-09-15 23:00:48.277449 : Epoch  7, Batch    374, Loss  0.601783, Average Loss  0.602464, Time  0.238964
2021-09-15 23:00:49.600542 : Epoch  3, Batch   1029, Loss  0.861456, Average Loss  0.869508, Time  0.265174
2021-09-15 23:00:49.795097 : Epoch  7, Batch    375, Loss  0.590547, Average Loss  0.602441, Time  0.236068
2021-09-15 23:00:51.306709 : Epoch  7, Batch    376, Loss  0.613470, Average Loss  0.602501, Time  0.236034
2021-09-15 23:00:52.620706 : Epoch  3, Batch   1030, Loss  0.862688, Average Loss  0.869422, Time  0.265069
2021-09-15 23:00:52.823894 : Epoch  7, Batch    377, Loss  0.603156, Average Loss  0.602459, Time  0.236273
2021-09-15 23:00:54.324440 : Epoch  7, Batch    378, Loss  0.595097, Average Loss  0.602425, Time  0.236748
2021-09-15 23:00:55.650813 : Epoch  3, Batch   1031, Loss  0.851479, Average Loss  0.869308, Time  0.277731
2021-09-15 23:00:58.651435 : Epoch  3, Batch   1032, Loss  0.864661, Average Loss  0.869239, Time  0.265221
2021-09-15 23:01:01.684805 : Epoch  3, Batch   1033, Loss  0.878528, Average Loss  0.869277, Time  0.266374
2021-09-15 23:01:04.704433 : Epoch  3, Batch   1034, Loss  0.861633, Average Loss  0.869290, Time  0.265317
2021-09-15 23:01:07.681729 : Epoch  3, Batch   1035, Loss  0.854275, Average Loss  0.869178, Time  0.264783
2021-09-15 23:01:10.681108 : Epoch  3, Batch   1036, Loss  0.879156, Average Loss  0.869224, Time  0.266324
2021-09-15 23:01:13.671739 : Epoch  3, Batch   1037, Loss  0.862275, Average Loss  0.869180, Time  0.266466
2021-09-15 23:01:16.686875 : Epoch  3, Batch   1038, Loss  0.879214, Average Loss  0.869107, Time  0.265645
2021-09-15 23:01:19.662745 : Epoch  3, Batch   1039, Loss  0.850804, Average Loss  0.869001, Time  0.264816
2021-09-15 23:01:22.647864 : Epoch  3, Batch   1040, Loss  0.857414, Average Loss  0.868902, Time  0.265121
2021-09-15 23:01:25.637717 : Epoch  3, Batch   1041, Loss  0.888012, Average Loss  0.869004, Time  0.265806
2021-09-15 23:01:28.644442 : Epoch  3, Batch   1042, Loss  0.857183, Average Loss  0.868869, Time  0.265481
2021-09-15 23:01:31.640269 : Epoch  3, Batch   1043, Loss  0.851119, Average Loss  0.868801, Time  0.267498
2021-09-15 23:01:34.637711 : Epoch  3, Batch   1044, Loss  0.864426, Average Loss  0.868695, Time  0.265166
2021-09-15 23:01:37.626353 : Epoch  3, Batch   1045, Loss  0.868456, Average Loss  0.868675, Time  0.265795
2021-09-15 23:01:40.643300 : Epoch  3, Batch   1046, Loss  0.881208, Average Loss  0.868660, Time  0.276638
2021-09-15 23:01:43.655808 : Epoch  3, Batch   1047, Loss  0.877520, Average Loss  0.868696, Time  0.266048
2021-09-15 23:01:46.676419 : Epoch  3, Batch   1048, Loss  0.860758, Average Loss  0.868621, Time  0.265520
2021-09-15 23:01:49.686326 : Epoch  3, Batch   1049, Loss  0.862852, Average Loss  0.868600, Time  0.266582
2021-09-15 23:01:50.932608 : CheckPoint: Validation Loss  0.00025710, Best Loss  0.00024241
2021-09-15 23:01:52.457099 : Epoch  7, Batch    379, Loss  0.593343, Average Loss  0.602348, Time  0.236366
2021-09-15 23:01:52.697367 : Epoch  3, Batch   1050, Loss  0.864278, Average Loss  0.868461, Time  0.266028
2021-09-15 23:01:53.970631 : Epoch  7, Batch    380, Loss  0.603806, Average Loss  0.602352, Time  0.235574
2021-09-15 23:01:55.491952 : Epoch  7, Batch    381, Loss  0.611912, Average Loss  0.602377, Time  0.237377
2021-09-15 23:01:55.690489 : Epoch  3, Batch   1051, Loss  0.865382, Average Loss  0.868355, Time  0.265045
2021-09-15 23:01:57.020752 : Epoch  7, Batch    382, Loss  0.605138, Average Loss  0.602453, Time  0.238008
2021-09-15 23:01:58.547755 : Epoch  7, Batch    383, Loss  0.608171, Average Loss  0.602484, Time  0.235500
2021-09-15 23:01:58.669029 : Epoch  3, Batch   1052, Loss  0.869975, Average Loss  0.868426, Time  0.265182
2021-09-15 23:02:00.065859 : Epoch  7, Batch    384, Loss  0.606890, Average Loss  0.602573, Time  0.235467
2021-09-15 23:02:01.586576 : Epoch  7, Batch    385, Loss  0.611953, Average Loss  0.602657, Time  0.235592
2021-09-15 23:02:01.667559 : Epoch  3, Batch   1053, Loss  0.889363, Average Loss  0.868566, Time  0.265656
2021-09-15 23:02:03.111392 : Epoch  7, Batch    386, Loss  0.607846, Average Loss  0.602730, Time  0.236120
2021-09-15 23:02:04.630153 : Epoch  7, Batch    387, Loss  0.596249, Average Loss  0.602729, Time  0.235720
2021-09-15 23:02:04.659373 : Epoch  3, Batch   1054, Loss  0.870717, Average Loss  0.868585, Time  0.266307
2021-09-15 23:02:06.148452 : Epoch  7, Batch    388, Loss  0.610937, Average Loss  0.602759, Time  0.235700
2021-09-15 23:02:07.667935 : Epoch  3, Batch   1055, Loss  0.880214, Average Loss  0.868691, Time  0.266870
2021-09-15 23:02:07.670653 : Epoch  7, Batch    389, Loss  0.602492, Average Loss  0.602805, Time  0.236318
2021-09-15 23:02:09.217637 : Epoch  7, Batch    390, Loss  0.593861, Average Loss  0.602695, Time  0.236089
2021-09-15 23:02:10.670217 : Epoch  3, Batch   1056, Loss  0.871700, Average Loss  0.868727, Time  0.264419
2021-09-15 23:02:10.733681 : Epoch  7, Batch    391, Loss  0.607720, Average Loss  0.602743, Time  0.235753
2021-09-15 23:02:12.250402 : Epoch  7, Batch    392, Loss  0.592578, Average Loss  0.602648, Time  0.235783
2021-09-15 23:02:13.683123 : Epoch  3, Batch   1057, Loss  0.880517, Average Loss  0.868716, Time  0.266183
2021-09-15 23:02:13.769248 : Epoch  7, Batch    393, Loss  0.601107, Average Loss  0.602678, Time  0.235866
2021-09-15 23:02:15.288423 : Epoch  7, Batch    394, Loss  0.601193, Average Loss  0.602618, Time  0.235960
2021-09-15 23:02:16.688178 : Epoch  3, Batch   1058, Loss  0.881104, Average Loss  0.868833, Time  0.266721
2021-09-15 23:02:16.816412 : Epoch  7, Batch    395, Loss  0.604724, Average Loss  0.602613, Time  0.235881
2021-09-15 23:02:18.330391 : Epoch  7, Batch    396, Loss  0.603821, Average Loss  0.602686, Time  0.236776
2021-09-15 23:02:19.685478 : Epoch  3, Batch   1059, Loss  0.881711, Average Loss  0.868855, Time  0.265565
2021-09-15 23:02:19.851157 : Epoch  7, Batch    397, Loss  0.604744, Average Loss  0.602649, Time  0.235853
2021-09-15 23:02:21.369529 : Epoch  7, Batch    398, Loss  0.584591, Average Loss  0.602625, Time  0.236639
2021-09-15 23:02:22.717400 : Epoch  3, Batch   1060, Loss  0.839304, Average Loss  0.868697, Time  0.266062
2021-09-15 23:02:22.896018 : Epoch  7, Batch    399, Loss  0.590423, Average Loss  0.602549, Time  0.238672
2021-09-15 23:02:24.411560 : Epoch  7, Batch    400, Loss  0.597613, Average Loss  0.602496, Time  0.236027
2021-09-15 23:02:25.735283 : Epoch  3, Batch   1061, Loss  0.850389, Average Loss  0.868601, Time  0.276939
2021-09-15 23:02:25.930711 : Epoch  7, Batch    401, Loss  0.615477, Average Loss  0.602534, Time  0.236735
2021-09-15 23:02:27.452047 : Epoch  7, Batch    402, Loss  0.604814, Average Loss  0.602543, Time  0.243136
2021-09-15 23:02:28.728537 : Epoch  3, Batch   1062, Loss  0.856931, Average Loss  0.868488, Time  0.265910
2021-09-15 23:02:28.977907 : Epoch  7, Batch    403, Loss  0.607540, Average Loss  0.602609, Time  0.239602
2021-09-15 23:02:30.504122 : Epoch  7, Batch    404, Loss  0.601201, Average Loss  0.602600, Time  0.236742
2021-09-15 23:02:31.737112 : Epoch  3, Batch   1063, Loss  0.857325, Average Loss  0.868434, Time  0.266666
2021-09-15 23:02:32.033430 : Epoch  7, Batch    405, Loss  0.612196, Average Loss  0.602632, Time  0.239228
2021-09-15 23:02:33.544327 : Epoch  7, Batch    406, Loss  0.595961, Average Loss  0.602585, Time  0.235520
2021-09-15 23:02:34.737443 : Epoch  3, Batch   1064, Loss  0.864862, Average Loss  0.868455, Time  0.266447
2021-09-15 23:02:35.072873 : Epoch  7, Batch    407, Loss  0.602409, Average Loss  0.602556, Time  0.236142
2021-09-15 23:02:36.598860 : Epoch  7, Batch    408, Loss  0.603455, Average Loss  0.602574, Time  0.236524
2021-09-15 23:02:37.747555 : Epoch  3, Batch   1065, Loss  0.860031, Average Loss  0.868445, Time  0.265774
2021-09-15 23:02:38.112976 : Epoch  7, Batch    409, Loss  0.591770, Average Loss  0.602533, Time  0.236036
2021-09-15 23:02:39.630474 : Epoch  7, Batch    410, Loss  0.603894, Average Loss  0.602559, Time  0.235986
2021-09-15 23:02:40.742800 : Epoch  3, Batch   1066, Loss  0.881811, Average Loss  0.868442, Time  0.266540
2021-09-15 23:02:41.151092 : Epoch  7, Batch    411, Loss  0.604151, Average Loss  0.602513, Time  0.239275
2021-09-15 23:02:42.689738 : Epoch  7, Batch    412, Loss  0.602473, Average Loss  0.602535, Time  0.236611
2021-09-15 23:02:43.735793 : Epoch  3, Batch   1067, Loss  0.879199, Average Loss  0.868437, Time  0.264913
2021-09-15 23:02:44.207782 : Epoch  7, Batch    413, Loss  0.612429, Average Loss  0.602619, Time  0.235536
2021-09-15 23:02:45.733396 : Epoch  7, Batch    414, Loss  0.611600, Average Loss  0.602685, Time  0.235476
2021-09-15 23:02:46.728914 : Epoch  3, Batch   1068, Loss  0.911575, Average Loss  0.868771, Time  0.266140
2021-09-15 23:02:47.254203 : Epoch  7, Batch    415, Loss  0.594161, Average Loss  0.602644, Time  0.236167
2021-09-15 23:02:48.773482 : Epoch  7, Batch    416, Loss  0.612329, Average Loss  0.602733, Time  0.235690
2021-09-15 23:02:49.741538 : Epoch  3, Batch   1069, Loss  0.868751, Average Loss  0.868739, Time  0.266577
2021-09-15 23:02:50.292004 : Epoch  7, Batch    417, Loss  0.613025, Average Loss  0.602811, Time  0.235862
2021-09-15 23:02:51.826742 : Epoch  7, Batch    418, Loss  0.588766, Average Loss  0.602769, Time  0.236050
2021-09-15 23:02:52.763755 : Epoch  3, Batch   1070, Loss  0.882236, Average Loss  0.868810, Time  0.265064
2021-09-15 23:02:53.349369 : Epoch  7, Batch    419, Loss  0.594170, Average Loss  0.602731, Time  0.236114
2021-09-15 23:02:54.870279 : Epoch  7, Batch    420, Loss  0.608919, Average Loss  0.602739, Time  0.236512
2021-09-15 23:02:55.748608 : Epoch  3, Batch   1071, Loss  0.879338, Average Loss  0.868855, Time  0.265299
2021-09-15 23:02:56.391682 : Epoch  7, Batch    421, Loss  0.608234, Average Loss  0.602788, Time  0.237116
2021-09-15 23:02:57.912990 : Epoch  7, Batch    422, Loss  0.602424, Average Loss  0.602747, Time  0.235693
2021-09-15 23:02:58.775025 : Epoch  3, Batch   1072, Loss  0.852109, Average Loss  0.868783, Time  0.265342
2021-09-15 23:02:59.445685 : Epoch  7, Batch    423, Loss  0.595891, Average Loss  0.602707, Time  0.236463
2021-09-15 23:03:00.963671 : Epoch  7, Batch    424, Loss  0.606552, Average Loss  0.602797, Time  0.236629
2021-09-15 23:03:01.793535 : Epoch  3, Batch   1073, Loss  0.862852, Average Loss  0.868783, Time  0.266058
2021-09-15 23:03:02.480385 : Epoch  7, Batch    425, Loss  0.601611, Average Loss  0.602757, Time  0.236894
2021-09-15 23:03:04.004592 : Epoch  7, Batch    426, Loss  0.612799, Average Loss  0.602835, Time  0.236053
2021-09-15 23:03:04.823541 : Epoch  3, Batch   1074, Loss  0.881430, Average Loss  0.868798, Time  0.266881
2021-09-15 23:03:05.524079 : Epoch  7, Batch    427, Loss  0.596516, Average Loss  0.602836, Time  0.236590
2021-09-15 23:03:07.045307 : Epoch  7, Batch    428, Loss  0.610046, Average Loss  0.602892, Time  0.235758
2021-09-15 23:03:07.861918 : Epoch  3, Batch   1075, Loss  0.876931, Average Loss  0.868918, Time  0.266404
2021-09-15 23:03:08.566836 : Epoch  7, Batch    429, Loss  0.597937, Average Loss  0.602886, Time  0.238276
2021-09-15 23:03:10.092928 : Epoch  7, Batch    430, Loss  0.612606, Average Loss  0.602968, Time  0.236387
2021-09-15 23:03:10.887057 : Epoch  3, Batch   1076, Loss  0.841352, Average Loss  0.868714, Time  0.275898
2021-09-15 23:03:11.616833 : Epoch  7, Batch    431, Loss  0.591552, Average Loss  0.602948, Time  0.235901
2021-09-15 23:03:13.134718 : Epoch  7, Batch    432, Loss  0.605842, Average Loss  0.602921, Time  0.235871
2021-09-15 23:03:13.880683 : Epoch  3, Batch   1077, Loss  0.867085, Average Loss  0.868757, Time  0.268221
2021-09-15 23:03:14.661178 : Epoch  7, Batch    433, Loss  0.596778, Average Loss  0.602822, Time  0.235928
2021-09-15 23:03:16.180135 : Epoch  7, Batch    434, Loss  0.602833, Average Loss  0.602800, Time  0.235977
2021-09-15 23:03:16.889024 : Epoch  3, Batch   1078, Loss  0.868563, Average Loss  0.868620, Time  0.266715
2021-09-15 23:03:17.707987 : Epoch  7, Batch    435, Loss  0.599299, Average Loss  0.602854, Time  0.236568
2021-09-15 23:03:19.229033 : Epoch  7, Batch    436, Loss  0.605351, Average Loss  0.602832, Time  0.235991
2021-09-15 23:03:19.924397 : Epoch  3, Batch   1079, Loss  0.877052, Average Loss  0.868691, Time  0.265758
2021-09-15 23:03:20.756897 : Epoch  7, Batch    437, Loss  0.602884, Average Loss  0.602873, Time  0.236662
2021-09-15 23:03:22.272892 : Epoch  7, Batch    438, Loss  0.598138, Average Loss  0.602863, Time  0.236724
2021-09-15 23:03:22.938859 : Epoch  3, Batch   1080, Loss  0.880766, Average Loss  0.868782, Time  0.265778
2021-09-15 23:03:23.790326 : Epoch  7, Batch    439, Loss  0.608248, Average Loss  0.602919, Time  0.236518
2021-09-15 23:03:25.308763 : Epoch  7, Batch    440, Loss  0.600324, Average Loss  0.602934, Time  0.235907
2021-09-15 23:03:25.996290 : Epoch  3, Batch   1081, Loss  0.863237, Average Loss  0.868807, Time  0.266270
2021-09-15 23:03:26.846230 : Epoch  7, Batch    441, Loss  0.598150, Average Loss  0.602959, Time  0.241183
2021-09-15 23:03:28.372391 : Epoch  7, Batch    442, Loss  0.600419, Average Loss  0.602882, Time  0.237133
2021-09-15 23:03:29.027912 : Epoch  3, Batch   1082, Loss  0.869880, Average Loss  0.868802, Time  0.266769
2021-09-15 23:03:29.901996 : Epoch  7, Batch    443, Loss  0.608780, Average Loss  0.602879, Time  0.236676
2021-09-15 23:03:31.437256 : Epoch  7, Batch    444, Loss  0.602641, Average Loss  0.602865, Time  0.240820
2021-09-15 23:03:32.042438 : Epoch  3, Batch   1083, Loss  0.867769, Average Loss  0.868810, Time  0.268535
2021-09-15 23:03:32.956922 : Epoch  7, Batch    445, Loss  0.597683, Average Loss  0.602794, Time  0.236469
2021-09-15 23:03:34.511095 : Epoch  7, Batch    446, Loss  0.607426, Average Loss  0.602803, Time  0.238013
2021-09-15 23:03:35.064521 : Epoch  3, Batch   1084, Loss  0.854751, Average Loss  0.868744, Time  0.266540
2021-09-15 23:03:36.028630 : Epoch  7, Batch    447, Loss  0.608834, Average Loss  0.602809, Time  0.236814
2021-09-15 23:03:37.542911 : Epoch  7, Batch    448, Loss  0.596831, Average Loss  0.602803, Time  0.237450
2021-09-15 23:03:38.079276 : Epoch  3, Batch   1085, Loss  0.885940, Average Loss  0.868788, Time  0.266864
2021-09-15 23:03:39.350007 : Building dataset train from orignial text documents
2021-09-15 23:03:41.084098 : Epoch  3, Batch   1086, Loss  0.865641, Average Loss  0.868789, Time  0.265807
2021-09-15 23:03:41.440359 : Epoch  7, Batch    449, Loss  0.607853, Average Loss  0.602825, Time  0.273547
2021-09-15 23:03:43.000587 : Epoch  7, Batch    450, Loss  0.596806, Average Loss  0.602835, Time  0.251706
2021-09-15 23:03:44.082873 : Epoch  3, Batch   1087, Loss  0.866982, Average Loss  0.868888, Time  0.265818
2021-09-15 23:03:44.550990 : Epoch  7, Batch    451, Loss  0.603817, Average Loss  0.602759, Time  0.236825
2021-09-15 23:03:46.110353 : Epoch  7, Batch    452, Loss  0.604725, Average Loss  0.602811, Time  0.237388
2021-09-15 23:03:47.083043 : Epoch  3, Batch   1088, Loss  0.891449, Average Loss  0.869021, Time  0.266399
2021-09-15 23:03:47.679544 : Epoch  7, Batch    453, Loss  0.597642, Average Loss  0.602788, Time  0.236012
2021-09-15 23:03:49.247109 : Epoch  7, Batch    454, Loss  0.592514, Average Loss  0.602758, Time  0.236096
2021-09-15 23:03:50.794357 : Epoch  7, Batch    455, Loss  0.603799, Average Loss  0.602780, Time  0.236461
2021-09-15 23:03:52.309384 : Epoch  7, Batch    456, Loss  0.596649, Average Loss  0.602655, Time  0.235740
2021-09-15 23:03:53.824130 : Epoch  7, Batch    457, Loss  0.609929, Average Loss  0.602720, Time  0.236280
2021-09-15 23:03:55.354455 : Epoch  7, Batch    458, Loss  0.609083, Average Loss  0.602761, Time  0.235914
2021-09-15 23:03:56.874577 : Epoch  7, Batch    459, Loss  0.594893, Average Loss  0.602753, Time  0.236617
2021-09-15 23:03:58.399935 : Epoch  7, Batch    460, Loss  0.597871, Average Loss  0.602749, Time  0.240025
2021-09-15 23:03:59.918350 : Epoch  7, Batch    461, Loss  0.614701, Average Loss  0.602856, Time  0.235572
2021-09-15 23:04:01.440416 : Epoch  7, Batch    462, Loss  0.593381, Average Loss  0.602830, Time  0.236166
2021-09-15 23:04:02.963375 : Epoch  7, Batch    463, Loss  0.602099, Average Loss  0.602806, Time  0.236694
2021-09-15 23:04:04.481086 : Epoch  7, Batch    464, Loss  0.613792, Average Loss  0.602870, Time  0.235718
2021-09-15 23:04:06.005614 : Epoch  7, Batch    465, Loss  0.610281, Average Loss  0.602908, Time  0.235754
2021-09-15 23:04:07.529625 : Epoch  7, Batch    466, Loss  0.597807, Average Loss  0.602865, Time  0.236248
2021-09-15 23:04:09.053676 : Epoch  7, Batch    467, Loss  0.596684, Average Loss  0.602814, Time  0.236908
2021-09-15 23:04:10.574416 : Epoch  7, Batch    468, Loss  0.602974, Average Loss  0.602820, Time  0.236318
2021-09-15 23:04:12.101377 : Epoch  7, Batch    469, Loss  0.599427, Average Loss  0.602790, Time  0.236665
2021-09-15 23:04:13.623662 : Epoch  7, Batch    470, Loss  0.602661, Average Loss  0.602755, Time  0.235753
2021-09-15 23:04:15.253088 : Epoch  7, Batch    471, Loss  0.602871, Average Loss  0.602748, Time  0.235793
2021-09-15 23:04:16.782762 : Epoch  7, Batch    472, Loss  0.592818, Average Loss  0.602641, Time  0.236631
2021-09-15 23:04:18.301725 : Epoch  7, Batch    473, Loss  0.597327, Average Loss  0.602598, Time  0.235729
2021-09-15 23:04:19.818945 : Epoch  7, Batch    474, Loss  0.588313, Average Loss  0.602520, Time  0.236219
2021-09-15 23:04:21.345103 : Epoch  7, Batch    475, Loss  0.614733, Average Loss  0.602559, Time  0.239352
2021-09-15 23:04:22.876495 : Epoch  7, Batch    476, Loss  0.594290, Average Loss  0.602572, Time  0.237983
2021-09-15 23:04:24.413798 : Epoch  7, Batch    477, Loss  0.613760, Average Loss  0.602695, Time  0.238047
2021-09-15 23:04:25.935170 : Epoch  7, Batch    478, Loss  0.603399, Average Loss  0.602697, Time  0.235913
2021-09-15 23:05:22.521758 : CheckPoint: Validation Loss  0.00025565, Best Loss  0.00024241
2021-09-15 23:05:24.038330 : Epoch  7, Batch    479, Loss  0.607785, Average Loss  0.602785, Time  0.237516
2021-09-15 23:05:25.558859 : Epoch  7, Batch    480, Loss  0.607172, Average Loss  0.602738, Time  0.237055
2021-09-15 23:05:27.090439 : Epoch  7, Batch    481, Loss  0.595339, Average Loss  0.602707, Time  0.236141
2021-09-15 23:05:28.613030 : Epoch  7, Batch    482, Loss  0.604643, Average Loss  0.602753, Time  0.236493
2021-09-15 23:05:30.141505 : Epoch  7, Batch    483, Loss  0.600735, Average Loss  0.602691, Time  0.237856
2021-09-15 23:05:31.672902 : Epoch  7, Batch    484, Loss  0.603154, Average Loss  0.602661, Time  0.236336
2021-09-15 23:05:33.192746 : Epoch  7, Batch    485, Loss  0.602136, Average Loss  0.602605, Time  0.235617
2021-09-15 23:05:34.724165 : Epoch  7, Batch    486, Loss  0.601911, Average Loss  0.602594, Time  0.238160
2021-09-15 23:05:36.248653 : Epoch  7, Batch    487, Loss  0.603991, Average Loss  0.602602, Time  0.236053
2021-09-15 23:05:37.770142 : Epoch  7, Batch    488, Loss  0.606793, Average Loss  0.602613, Time  0.239001
2021-09-15 23:05:39.294035 : Epoch  7, Batch    489, Loss  0.615900, Average Loss  0.602728, Time  0.236306
2021-09-15 23:05:40.818308 : Epoch  7, Batch    490, Loss  0.600250, Average Loss  0.602723, Time  0.236123
2021-09-15 23:05:42.345080 : Epoch  7, Batch    491, Loss  0.603890, Average Loss  0.602735, Time  0.236405
2021-09-15 23:05:43.861391 : Epoch  7, Batch    492, Loss  0.607574, Average Loss  0.602714, Time  0.236384
2021-09-15 23:05:45.380786 : Epoch  7, Batch    493, Loss  0.606670, Average Loss  0.602741, Time  0.237286
2021-09-15 23:05:46.908166 : Epoch  7, Batch    494, Loss  0.595101, Average Loss  0.602718, Time  0.237259
2021-09-15 23:05:48.428740 : Epoch  7, Batch    495, Loss  0.611846, Average Loss  0.602778, Time  0.238909
2021-09-15 23:05:49.953427 : Epoch  7, Batch    496, Loss  0.607925, Average Loss  0.602811, Time  0.235865
2021-09-15 23:05:51.480918 : Epoch  7, Batch    497, Loss  0.595834, Average Loss  0.602733, Time  0.235564
2021-09-15 23:05:53.002441 : Epoch  7, Batch    498, Loss  0.595564, Average Loss  0.602778, Time  0.235641
2021-09-15 23:05:54.530218 : Epoch  7, Batch    499, Loss  0.604446, Average Loss  0.602730, Time  0.236239
2021-09-15 23:05:56.057452 : Epoch  7, Batch    500, Loss  0.599762, Average Loss  0.602744, Time  0.236123
2021-09-15 23:05:57.593949 : Epoch  7, Batch    501, Loss  0.600978, Average Loss  0.602736, Time  0.236222
2021-09-15 23:05:59.116154 : Epoch  7, Batch    502, Loss  0.611183, Average Loss  0.602746, Time  0.237268
2021-09-15 23:06:00.639456 : Epoch  7, Batch    503, Loss  0.601863, Average Loss  0.602747, Time  0.236116
2021-09-15 23:06:02.171472 : Epoch  7, Batch    504, Loss  0.597506, Average Loss  0.602714, Time  0.236268
2021-09-15 23:06:03.715069 : Epoch  7, Batch    505, Loss  0.602266, Average Loss  0.602672, Time  0.236735
2021-09-15 23:06:05.244261 : Epoch  7, Batch    506, Loss  0.603951, Average Loss  0.602601, Time  0.235904
2021-09-15 23:06:06.772448 : Epoch  7, Batch    507, Loss  0.593183, Average Loss  0.602529, Time  0.236024
2021-09-15 23:06:08.299363 : Epoch  7, Batch    508, Loss  0.605638, Average Loss  0.602509, Time  0.238564
2021-09-15 23:06:09.823164 : Epoch  7, Batch    509, Loss  0.612951, Average Loss  0.602547, Time  0.236685
2021-09-15 23:06:11.351155 : Epoch  7, Batch    510, Loss  0.605336, Average Loss  0.602540, Time  0.236349
2021-09-15 23:06:12.874083 : Epoch  7, Batch    511, Loss  0.595414, Average Loss  0.602525, Time  0.237257
2021-09-15 23:06:14.404018 : Epoch  7, Batch    512, Loss  0.597126, Average Loss  0.602496, Time  0.236699
2021-09-15 23:06:15.937696 : Epoch  7, Batch    513, Loss  0.602809, Average Loss  0.602555, Time  0.235681
2021-09-15 23:06:17.460161 : Epoch  7, Batch    514, Loss  0.602600, Average Loss  0.602556, Time  0.235712
2021-09-15 23:06:18.992407 : Epoch  7, Batch    515, Loss  0.597660, Average Loss  0.602582, Time  0.235848
2021-09-15 23:06:20.546787 : Epoch  7, Batch    516, Loss  0.595787, Average Loss  0.602583, Time  0.236446
2021-09-15 23:06:22.072765 : Epoch  7, Batch    517, Loss  0.601391, Average Loss  0.602508, Time  0.238475
2021-09-15 23:06:23.605911 : Epoch  7, Batch    518, Loss  0.599403, Average Loss  0.602483, Time  0.236141
2021-09-15 23:06:25.133096 : Epoch  7, Batch    519, Loss  0.593037, Average Loss  0.602473, Time  0.236562
2021-09-15 23:06:26.656404 : Epoch  7, Batch    520, Loss  0.595106, Average Loss  0.602461, Time  0.235780
2021-09-15 23:06:28.224656 : Epoch  7, Batch    521, Loss  0.589002, Average Loss  0.602319, Time  0.235695
2021-09-15 23:06:29.767054 : Epoch  7, Batch    522, Loss  0.599236, Average Loss  0.602334, Time  0.236623
2021-09-15 23:06:31.305425 : Epoch  7, Batch    523, Loss  0.589985, Average Loss  0.602255, Time  0.235652
2021-09-15 23:06:32.839679 : Epoch  7, Batch    524, Loss  0.591435, Average Loss  0.602161, Time  0.236538
2021-09-15 23:06:34.366142 : Epoch  7, Batch    525, Loss  0.602221, Average Loss  0.602181, Time  0.236192
2021-09-15 23:06:35.417985 : Finish Loading dataset train
2021-09-15 23:06:35.456613 : Data Shuffle
2021-09-15 23:06:35.494590 : Start Shuffling
2021-09-15 23:06:35.892025 : Epoch  7, Batch    526, Loss  0.606585, Average Loss  0.602211, Time  0.235721
2021-09-15 23:06:36.692598 : Finish Shuffling
2021-09-15 23:06:36.785579 : Generate Batch
2021-09-15 23:06:37.183587 : Building dataset valid from orignial text documents
2021-09-15 23:06:37.413863 : Epoch  7, Batch    527, Loss  0.594707, Average Loss  0.602146, Time  0.236016
2021-09-15 23:06:38.944966 : Epoch  7, Batch    528, Loss  0.612073, Average Loss  0.602234, Time  0.235701
2021-09-15 23:06:40.465257 : Epoch  7, Batch    529, Loss  0.606709, Average Loss  0.602190, Time  0.239267
2021-09-15 23:06:41.995563 : Epoch  7, Batch    530, Loss  0.599792, Average Loss  0.602183, Time  0.236703
2021-09-15 23:06:43.510125 : Epoch  7, Batch    531, Loss  0.597500, Average Loss  0.602209, Time  0.236676
2021-09-15 23:06:44.991606 : Finish Loading dataset valid
2021-09-15 23:06:45.028566 : Data Shuffle
2021-09-15 23:06:45.063381 : Epoch  7, Batch    532, Loss  0.599665, Average Loss  0.602231, Time  0.236488
2021-09-15 23:06:45.096480 : Start Shuffling
2021-09-15 23:06:45.186738 : Finish Shuffling
2021-09-15 23:06:45.238575 : Generate Batch
2021-09-15 23:06:45.325579 : There are 1856 batches per epoch
2021-09-15 23:06:45.373560 : Batch Shuffled
2021-09-15 23:06:46.594972 : Epoch  7, Batch    533, Loss  0.597020, Average Loss  0.602172, Time  0.235879
2021-09-15 23:06:48.153849 : Epoch  7, Batch    534, Loss  0.602472, Average Loss  0.602157, Time  0.237232
2021-09-15 23:06:48.315144 : Epoch  1, Batch      1, Loss  1.881821, Average Loss  1.881821, Time  0.590727
2021-09-15 23:06:49.685967 : Epoch  7, Batch    535, Loss  0.597897, Average Loss  0.602195, Time  0.236556
2021-09-15 23:06:50.896049 : Epoch  1, Batch      2, Loss  1.875539, Average Loss  1.878680, Time  0.247223
2021-09-15 23:06:51.225377 : Epoch  7, Batch    536, Loss  0.602141, Average Loss  0.602176, Time  0.235872
2021-09-15 23:06:52.747466 : Epoch  7, Batch    537, Loss  0.605358, Average Loss  0.602214, Time  0.235651
2021-09-15 23:06:53.477149 : Epoch  1, Batch      3, Loss  1.881191, Average Loss  1.879517, Time  0.238236
2021-09-15 23:06:54.283988 : Epoch  7, Batch    538, Loss  0.599694, Average Loss  0.602193, Time  0.235937
2021-09-15 23:06:55.819923 : Epoch  7, Batch    539, Loss  0.607747, Average Loss  0.602184, Time  0.236881
2021-09-15 23:06:56.067460 : Epoch  1, Batch      4, Loss  1.872374, Average Loss  1.877731, Time  0.238275
2021-09-15 23:06:57.352371 : Epoch  7, Batch    540, Loss  0.594943, Average Loss  0.602134, Time  0.236480
2021-09-15 23:06:58.698207 : Epoch  1, Batch      5, Loss  1.878201, Average Loss  1.877825, Time  0.238997
2021-09-15 23:06:58.942028 : Epoch  7, Batch    541, Loss  0.597218, Average Loss  0.602093, Time  0.237527
2021-09-15 23:07:00.461158 : Epoch  7, Batch    542, Loss  0.613909, Average Loss  0.602212, Time  0.235787
2021-09-15 23:07:01.296839 : Epoch  1, Batch      6, Loss  1.867400, Average Loss  1.876088, Time  0.238717
2021-09-15 23:07:01.986976 : Epoch  7, Batch    543, Loss  0.610998, Average Loss  0.602231, Time  0.235876
2021-09-15 23:07:03.519829 : Epoch  7, Batch    544, Loss  0.601779, Average Loss  0.602237, Time  0.236516
2021-09-15 23:07:03.890064 : Epoch  1, Batch      7, Loss  1.854928, Average Loss  1.873065, Time  0.239102
2021-09-15 23:07:05.061392 : Epoch  7, Batch    545, Loss  0.592663, Average Loss  0.602181, Time  0.236046
2021-09-15 23:07:06.480238 : Epoch  1, Batch      8, Loss  1.850750, Average Loss  1.870275, Time  0.243422
2021-09-15 23:07:06.615037 : Epoch  7, Batch    546, Loss  0.601863, Average Loss  0.602202, Time  0.235826
2021-09-15 23:07:08.136818 : Epoch  7, Batch    547, Loss  0.599097, Average Loss  0.602130, Time  0.237683
2021-09-15 23:07:09.074810 : Epoch  1, Batch      9, Loss  1.847870, Average Loss  1.867786, Time  0.239311
2021-09-15 23:07:09.673407 : Epoch  7, Batch    548, Loss  0.596256, Average Loss  0.602069, Time  0.235884
2021-09-15 23:07:11.657249 : Epoch  1, Batch     10, Loss  1.840600, Average Loss  1.865067, Time  0.239633
2021-09-15 23:07:13.535866 : Epoch  7, Batch    549, Loss  0.607656, Average Loss  0.602056, Time  0.267717
2021-09-15 23:07:14.244219 : Epoch  1, Batch     11, Loss  1.835300, Average Loss  1.862361, Time  0.239652
2021-09-15 23:07:15.062374 : Epoch  7, Batch    550, Loss  0.606646, Average Loss  0.602052, Time  0.239877
2021-09-15 23:07:16.589005 : Epoch  7, Batch    551, Loss  0.606524, Average Loss  0.602066, Time  0.236190
2021-09-15 23:07:16.852113 : Epoch  1, Batch     12, Loss  1.825753, Average Loss  1.859311, Time  0.239563
2021-09-15 23:07:18.115652 : Epoch  7, Batch    552, Loss  0.602872, Average Loss  0.602036, Time  0.236251
2021-09-15 23:07:19.454087 : Epoch  1, Batch     13, Loss  1.815259, Average Loss  1.855922, Time  0.240347
2021-09-15 23:07:19.638964 : Epoch  7, Batch    553, Loss  0.600590, Average Loss  0.602026, Time  0.237709
2021-09-15 23:07:21.151206 : Epoch  7, Batch    554, Loss  0.611366, Average Loss  0.602067, Time  0.236761
2021-09-15 23:07:22.028199 : Epoch  1, Batch     14, Loss  1.804706, Average Loss  1.852264, Time  0.239208
2021-09-15 23:07:22.672823 : Epoch  7, Batch    555, Loss  0.609231, Average Loss  0.602059, Time  0.235963
2021-09-15 23:07:24.214375 : Epoch  7, Batch    556, Loss  0.621027, Average Loss  0.602207, Time  0.236691
2021-09-15 23:07:24.626851 : Epoch  1, Batch     15, Loss  1.796141, Average Loss  1.848522, Time  0.240210
2021-09-15 23:07:25.748928 : Epoch  7, Batch    557, Loss  0.598425, Average Loss  0.602169, Time  0.235950
2021-09-15 23:07:27.276178 : Epoch  1, Batch     16, Loss  1.788298, Average Loss  1.844758, Time  0.239522
2021-09-15 23:07:27.311250 : Epoch  7, Batch    558, Loss  0.602555, Average Loss  0.602151, Time  0.236116
2021-09-15 23:07:28.834707 : Epoch  7, Batch    559, Loss  0.602167, Average Loss  0.602192, Time  0.235897
2021-09-15 23:07:29.859109 : Epoch  1, Batch     17, Loss  1.765956, Average Loss  1.840123, Time  0.239957
2021-09-15 23:07:30.359936 : Epoch  7, Batch    560, Loss  0.604920, Average Loss  0.602147, Time  0.235969
2021-09-15 23:07:31.882074 : Epoch  7, Batch    561, Loss  0.593971, Average Loss  0.602092, Time  0.236526
2021-09-15 23:07:32.444712 : Epoch  1, Batch     18, Loss  1.765921, Average Loss  1.836000, Time  0.238756
2021-09-15 23:07:33.428572 : Epoch  7, Batch    562, Loss  0.595592, Average Loss  0.602092, Time  0.236453
2021-09-15 23:07:34.968401 : Epoch  7, Batch    563, Loss  0.609950, Average Loss  0.602121, Time  0.235832
2021-09-15 23:07:35.049867 : Epoch  1, Batch     19, Loss  1.749811, Average Loss  1.831464, Time  0.239241
2021-09-15 23:07:36.498120 : Epoch  7, Batch    564, Loss  0.607855, Average Loss  0.602205, Time  0.236181
2021-09-15 23:07:37.635145 : Epoch  1, Batch     20, Loss  1.741315, Average Loss  1.826957, Time  0.239249
2021-09-15 23:07:38.039894 : Epoch  7, Batch    565, Loss  0.602831, Average Loss  0.602225, Time  0.236873
2021-09-15 23:07:39.558419 : Epoch  7, Batch    566, Loss  0.606992, Average Loss  0.602272, Time  0.235754
2021-09-15 23:07:40.234124 : Epoch  1, Batch     21, Loss  1.748230, Average Loss  1.823208, Time  0.239738
2021-09-15 23:07:41.096598 : Epoch  7, Batch    567, Loss  0.602635, Average Loss  0.602289, Time  0.236376
2021-09-15 23:07:42.641405 : Epoch  7, Batch    568, Loss  0.589454, Average Loss  0.602207, Time  0.235864
2021-09-15 23:07:42.822760 : Epoch  1, Batch     22, Loss  1.731822, Average Loss  1.819054, Time  0.239177
2021-09-15 23:07:44.181873 : Epoch  7, Batch    569, Loss  0.596655, Average Loss  0.602217, Time  0.235895
2021-09-15 23:07:45.401244 : Epoch  1, Batch     23, Loss  1.726909, Average Loss  1.815048, Time  0.239109
2021-09-15 23:07:45.720360 : Epoch  7, Batch    570, Loss  0.604727, Average Loss  0.602249, Time  0.236479
2021-09-15 23:07:47.247962 : Epoch  7, Batch    571, Loss  0.604803, Average Loss  0.602235, Time  0.235914
2021-09-15 23:07:47.987237 : Epoch  1, Batch     24, Loss  1.714858, Average Loss  1.810873, Time  0.239965
2021-09-15 23:07:48.797411 : Epoch  7, Batch    572, Loss  0.594702, Average Loss  0.602227, Time  0.236089
2021-09-15 23:07:50.341092 : Epoch  7, Batch    573, Loss  0.605195, Average Loss  0.602262, Time  0.237449
2021-09-15 23:07:50.571073 : Epoch  1, Batch     25, Loss  1.718654, Average Loss  1.807184, Time  0.240409
2021-09-15 23:07:51.870356 : Epoch  7, Batch    574, Loss  0.604024, Average Loss  0.602273, Time  0.236126
2021-09-15 23:07:53.145654 : Epoch  1, Batch     26, Loss  1.691599, Average Loss  1.802739, Time  0.240134
2021-09-15 23:07:53.411189 : Epoch  7, Batch    575, Loss  0.596650, Average Loss  0.602303, Time  0.236804
2021-09-15 23:07:54.934360 : Epoch  7, Batch    576, Loss  0.604347, Average Loss  0.602258, Time  0.237778
2021-09-15 23:07:55.743880 : Epoch  1, Batch     27, Loss  1.697984, Average Loss  1.798859, Time  0.245059
2021-09-15 23:07:56.466323 : Epoch  7, Batch    577, Loss  0.595542, Average Loss  0.602220, Time  0.235837
2021-09-15 23:07:57.997389 : Epoch  7, Batch    578, Loss  0.615849, Average Loss  0.602324, Time  0.238366
2021-09-15 23:07:58.330833 : Epoch  1, Batch     28, Loss  1.698823, Average Loss  1.795286, Time  0.240903
2021-09-15 23:08:00.906464 : Epoch  1, Batch     29, Loss  1.689882, Average Loss  1.791652, Time  0.239734
2021-09-15 23:08:03.499337 : Epoch  1, Batch     30, Loss  1.688616, Average Loss  1.788217, Time  0.240044
2021-09-15 23:08:06.096033 : Epoch  1, Batch     31, Loss  1.694352, Average Loss  1.785189, Time  0.240116
2021-09-15 23:08:08.693064 : Epoch  1, Batch     32, Loss  1.684106, Average Loss  1.782030, Time  0.240643
2021-09-15 23:08:11.286543 : Epoch  1, Batch     33, Loss  1.687932, Average Loss  1.779179, Time  0.241991
2021-09-15 23:08:13.888813 : Epoch  1, Batch     34, Loss  1.676945, Average Loss  1.776172, Time  0.240421
2021-09-15 23:08:16.495062 : Epoch  1, Batch     35, Loss  1.679797, Average Loss  1.773418, Time  0.241331
2021-09-15 23:08:19.093032 : Epoch  1, Batch     36, Loss  1.674597, Average Loss  1.770673, Time  0.242201
2021-09-15 23:08:21.702838 : Epoch  1, Batch     37, Loss  1.681812, Average Loss  1.768272, Time  0.241434
2021-09-15 23:08:24.302864 : Epoch  1, Batch     38, Loss  1.672745, Average Loss  1.765758, Time  0.241004
2021-09-15 23:08:25.620898 : CheckPoint: Validation Loss  0.00030398, Best Loss  0.00029429
2021-09-15 23:08:26.898902 : Epoch  1, Batch     39, Loss  1.664765, Average Loss  1.763168, Time  0.240849
2021-09-15 23:08:28.629569 : Epoch  3, Batch   1089, Loss  0.857153, Average Loss  0.869091, Time  0.267575
2021-09-15 23:08:29.493513 : Epoch  1, Batch     40, Loss  1.667128, Average Loss  1.760767, Time  0.240032
2021-09-15 23:08:31.655530 : Epoch  3, Batch   1090, Loss  0.883032, Average Loss  0.869220, Time  0.265997
2021-09-15 23:08:32.096915 : Epoch  1, Batch     41, Loss  1.670409, Average Loss  1.758563, Time  0.240007
2021-09-15 23:08:34.649437 : Epoch  3, Batch   1091, Loss  0.876248, Average Loss  0.869226, Time  0.265396
2021-09-15 23:08:34.676872 : Epoch  1, Batch     42, Loss  1.662780, Average Loss  1.756283, Time  0.239923
2021-09-15 23:08:37.287886 : Epoch  1, Batch     43, Loss  1.686052, Average Loss  1.754650, Time  0.240378
2021-09-15 23:08:37.639832 : Epoch  3, Batch   1092, Loss  0.888411, Average Loss  0.869465, Time  0.274278
2021-09-15 23:08:39.894795 : Epoch  1, Batch     44, Loss  1.651904, Average Loss  1.752314, Time  0.240050
2021-09-15 23:08:40.622199 : Epoch  3, Batch   1093, Loss  0.850118, Average Loss  0.869407, Time  0.265344
2021-09-15 23:08:42.504408 : Epoch  1, Batch     45, Loss  1.671014, Average Loss  1.750508, Time  0.239658
2021-09-15 23:08:43.601218 : Epoch  3, Batch   1094, Loss  0.867459, Average Loss  0.869467, Time  0.265429
2021-09-15 23:08:45.099824 : Epoch  1, Batch     46, Loss  1.676962, Average Loss  1.748909, Time  0.241101
2021-09-15 23:08:46.593353 : Epoch  3, Batch   1095, Loss  0.872880, Average Loss  0.869470, Time  0.266015
2021-09-15 23:08:47.689863 : Epoch  1, Batch     47, Loss  1.668225, Average Loss  1.747192, Time  0.239912
2021-09-15 23:08:49.617225 : Epoch  3, Batch   1096, Loss  0.866512, Average Loss  0.869443, Time  0.266744
2021-09-15 23:08:50.302168 : Epoch  1, Batch     48, Loss  1.662545, Average Loss  1.745429, Time  0.240263
2021-09-15 23:08:52.604060 : Epoch  3, Batch   1097, Loss  0.880435, Average Loss  0.869477, Time  0.264794
2021-09-15 23:08:52.892141 : Epoch  1, Batch     49, Loss  1.673548, Average Loss  1.743962, Time  0.240679
2021-09-15 23:08:55.470397 : Epoch  1, Batch     50, Loss  1.650217, Average Loss  1.742087, Time  0.240070
2021-09-15 23:08:55.531686 : CheckPoint: Validation Loss  0.00025063, Best Loss  0.00024241
2021-09-15 23:08:55.577446 : Epoch  3, Batch   1098, Loss  0.862602, Average Loss  0.869447, Time  0.264839
2021-09-15 23:08:57.107141 : Epoch  7, Batch    579, Loss  0.611494, Average Loss  0.602414, Time  0.271568
2021-09-15 23:08:58.066943 : Epoch  1, Batch     51, Loss  1.672442, Average Loss  1.740721, Time  0.240674
2021-09-15 23:08:58.584032 : Epoch  3, Batch   1099, Loss  0.877535, Average Loss  0.869511, Time  0.266409
2021-09-15 23:08:58.660028 : Epoch  7, Batch    580, Loss  0.603552, Average Loss  0.602413, Time  0.250221
2021-09-15 23:09:00.207282 : Epoch  7, Batch    581, Loss  0.607955, Average Loss  0.602393, Time  0.240175
2021-09-15 23:09:00.657896 : Epoch  1, Batch     52, Loss  1.662240, Average Loss  1.739212, Time  0.239941
2021-09-15 23:09:01.559265 : Epoch  3, Batch   1100, Loss  0.876516, Average Loss  0.869539, Time  0.265124
2021-09-15 23:09:01.741380 : Epoch  7, Batch    582, Loss  0.608465, Average Loss  0.602410, Time  0.235256
2021-09-15 23:09:03.246167 : Epoch  1, Batch     53, Loss  1.671745, Average Loss  1.737939, Time  0.240723
2021-09-15 23:09:03.291121 : Epoch  7, Batch    583, Loss  0.600903, Average Loss  0.602374, Time  0.236066
2021-09-15 23:09:04.544385 : Epoch  3, Batch   1101, Loss  0.871973, Average Loss  0.869580, Time  0.265351
2021-09-15 23:09:04.838401 : Epoch  7, Batch    584, Loss  0.596086, Average Loss  0.602320, Time  0.235899
2021-09-15 23:09:05.858668 : Epoch  1, Batch     54, Loss  1.675626, Average Loss  1.736785, Time  0.240456
2021-09-15 23:09:06.370139 : Epoch  7, Batch    585, Loss  0.598018, Average Loss  0.602250, Time  0.237649
2021-09-15 23:09:07.535368 : Epoch  3, Batch   1102, Loss  0.889923, Average Loss  0.869663, Time  0.266935
2021-09-15 23:09:07.901859 : Epoch  7, Batch    586, Loss  0.608000, Average Loss  0.602251, Time  0.236288
2021-09-15 23:09:08.453828 : Epoch  1, Batch     55, Loss  1.666554, Average Loss  1.735508, Time  0.241139
2021-09-15 23:09:09.434850 : Epoch  7, Batch    587, Loss  0.600558, Average Loss  0.602272, Time  0.239675
2021-09-15 23:09:10.515732 : Epoch  3, Batch   1103, Loss  0.866741, Average Loss  0.869522, Time  0.265305
2021-09-15 23:09:10.973989 : Epoch  7, Batch    588, Loss  0.606485, Average Loss  0.602250, Time  0.238484
2021-09-15 23:09:11.057089 : Epoch  1, Batch     56, Loss  1.651915, Average Loss  1.734015, Time  0.241422
2021-09-15 23:09:12.510356 : Epoch  7, Batch    589, Loss  0.605157, Average Loss  0.602263, Time  0.236739
2021-09-15 23:09:13.499624 : Epoch  3, Batch   1104, Loss  0.892205, Average Loss  0.869614, Time  0.267344
2021-09-15 23:09:13.640928 : Epoch  1, Batch     57, Loss  1.676135, Average Loss  1.733000, Time  0.240182
2021-09-15 23:09:14.057838 : Epoch  7, Batch    590, Loss  0.597771, Average Loss  0.602283, Time  0.239581
2021-09-15 23:09:15.599468 : Epoch  7, Batch    591, Loss  0.610305, Average Loss  0.602296, Time  0.252612
2021-09-15 23:09:16.226023 : Epoch  1, Batch     58, Loss  1.664151, Average Loss  1.731813, Time  0.240806
2021-09-15 23:09:16.523675 : Epoch  3, Batch   1105, Loss  0.870489, Average Loss  0.869613, Time  0.266487
2021-09-15 23:09:17.140675 : Epoch  7, Batch    592, Loss  0.601796, Average Loss  0.602342, Time  0.235888
2021-09-15 23:09:18.687223 : Epoch  7, Batch    593, Loss  0.600892, Average Loss  0.602341, Time  0.236064
2021-09-15 23:09:18.856123 : Epoch  1, Batch     59, Loss  1.658130, Average Loss  1.730564, Time  0.241677
2021-09-15 23:09:19.492925 : Epoch  3, Batch   1106, Loss  0.860839, Average Loss  0.869571, Time  0.265366
2021-09-15 23:09:20.228380 : Epoch  7, Batch    594, Loss  0.611679, Average Loss  0.602393, Time  0.236385
2021-09-15 23:09:21.442496 : Epoch  1, Batch     60, Loss  1.658121, Average Loss  1.729357, Time  0.240271
2021-09-15 23:09:21.772749 : Epoch  7, Batch    595, Loss  0.600710, Average Loss  0.602373, Time  0.235947
2021-09-15 23:09:22.491010 : Epoch  3, Batch   1107, Loss  0.853338, Average Loss  0.869402, Time  0.280497
2021-09-15 23:09:23.302468 : Epoch  7, Batch    596, Loss  0.594600, Average Loss  0.602327, Time  0.235688
2021-09-15 23:09:24.028256 : Epoch  1, Batch     61, Loss  1.648517, Average Loss  1.728031, Time  0.240221
2021-09-15 23:09:24.851036 : Epoch  7, Batch    597, Loss  0.605948, Average Loss  0.602333, Time  0.235996
2021-09-15 23:09:25.472446 : Epoch  3, Batch   1108, Loss  0.863439, Average Loss  0.869396, Time  0.266114
2021-09-15 23:09:26.406350 : Epoch  7, Batch    598, Loss  0.592861, Average Loss  0.602374, Time  0.237011
2021-09-15 23:09:26.617869 : Epoch  1, Batch     62, Loss  1.655105, Average Loss  1.726855, Time  0.243379
2021-09-15 23:09:27.952464 : Epoch  7, Batch    599, Loss  0.618533, Average Loss  0.602515, Time  0.236083
2021-09-15 23:09:28.458413 : Epoch  3, Batch   1109, Loss  0.876306, Average Loss  0.869395, Time  0.265674
2021-09-15 23:09:29.205993 : Epoch  1, Batch     63, Loss  1.656590, Average Loss  1.725740, Time  0.240107
2021-09-15 23:09:29.504181 : Epoch  7, Batch    600, Loss  0.606675, Average Loss  0.602560, Time  0.237070
2021-09-15 23:09:31.036060 : Epoch  7, Batch    601, Loss  0.605075, Average Loss  0.602508, Time  0.235838
2021-09-15 23:09:31.431860 : Epoch  3, Batch   1110, Loss  0.871585, Average Loss  0.869362, Time  0.267174
2021-09-15 23:09:31.800048 : Epoch  1, Batch     64, Loss  1.652976, Average Loss  1.724603, Time  0.240001
2021-09-15 23:09:32.578414 : Epoch  7, Batch    602, Loss  0.594729, Average Loss  0.602458, Time  0.235922
2021-09-15 23:09:34.128170 : Epoch  7, Batch    603, Loss  0.584675, Average Loss  0.602343, Time  0.236255
2021-09-15 23:09:34.379734 : Epoch  1, Batch     65, Loss  1.664559, Average Loss  1.723679, Time  0.239619
2021-09-15 23:09:34.435072 : Epoch  3, Batch   1111, Loss  0.869338, Average Loss  0.869506, Time  0.265842
2021-09-15 23:09:35.676819 : Epoch  7, Batch    604, Loss  0.596909, Average Loss  0.602322, Time  0.240414
2021-09-15 23:09:36.971197 : Epoch  1, Batch     66, Loss  1.651893, Average Loss  1.722592, Time  0.239734
2021-09-15 23:09:37.209399 : Epoch  7, Batch    605, Loss  0.604401, Average Loss  0.602283, Time  0.235924
2021-09-15 23:09:37.423251 : Epoch  3, Batch   1112, Loss  0.871844, Average Loss  0.869541, Time  0.265126
2021-09-15 23:09:38.742749 : Epoch  7, Batch    606, Loss  0.614920, Average Loss  0.602378, Time  0.237484
2021-09-15 23:09:39.565985 : Epoch  1, Batch     67, Loss  1.642441, Average Loss  1.721395, Time  0.239974
2021-09-15 23:09:40.280216 : Epoch  7, Batch    607, Loss  0.600061, Average Loss  0.602366, Time  0.235732
2021-09-15 23:09:40.405519 : Epoch  3, Batch   1113, Loss  0.886925, Average Loss  0.869712, Time  0.264960
2021-09-15 23:09:41.819703 : Epoch  7, Batch    608, Loss  0.599288, Average Loss  0.602345, Time  0.237633
2021-09-15 23:09:42.167844 : Epoch  1, Batch     68, Loss  1.651235, Average Loss  1.720363, Time  0.241555
2021-09-15 23:09:43.356053 : Epoch  7, Batch    609, Loss  0.605448, Average Loss  0.602414, Time  0.236201
2021-09-15 23:09:43.417246 : Epoch  3, Batch   1114, Loss  0.884495, Average Loss  0.869692, Time  0.265495
2021-09-15 23:09:44.763185 : Epoch  1, Batch     69, Loss  1.657309, Average Loss  1.719450, Time  0.240492
2021-09-15 23:09:44.890287 : Epoch  7, Batch    610, Loss  0.608294, Average Loss  0.602436, Time  0.236128
2021-09-15 23:09:46.410050 : Epoch  3, Batch   1115, Loss  0.858779, Average Loss  0.869646, Time  0.266534
2021-09-15 23:09:46.426394 : Epoch  7, Batch    611, Loss  0.595746, Average Loss  0.602394, Time  0.236607
2021-09-15 23:09:47.350077 : Epoch  1, Batch     70, Loss  1.654081, Average Loss  1.718516, Time  0.240165
2021-09-15 23:09:47.969658 : Epoch  7, Batch    612, Loss  0.603214, Average Loss  0.602397, Time  0.235517
2021-09-15 23:09:49.418310 : Epoch  3, Batch   1116, Loss  0.859475, Average Loss  0.869532, Time  0.265212
2021-09-15 23:09:49.501271 : Epoch  7, Batch    613, Loss  0.596855, Average Loss  0.602319, Time  0.235932
2021-09-15 23:09:49.935483 : Epoch  1, Batch     71, Loss  1.636507, Average Loss  1.717361, Time  0.240754
2021-09-15 23:09:51.031199 : Epoch  7, Batch    614, Loss  0.593642, Average Loss  0.602230, Time  0.237223
2021-09-15 23:09:52.429523 : Epoch  3, Batch   1117, Loss  0.871090, Average Loss  0.869588, Time  0.266380
2021-09-15 23:09:52.504905 : Epoch  1, Batch     72, Loss  1.651049, Average Loss  1.716440, Time  0.240062
2021-09-15 23:09:52.570981 : Epoch  7, Batch    615, Loss  0.607259, Average Loss  0.602295, Time  0.237667
2021-09-15 23:09:54.098269 : Epoch  7, Batch    616, Loss  0.596210, Average Loss  0.602215, Time  0.235906
2021-09-15 23:09:55.092880 : Epoch  1, Batch     73, Loss  1.641675, Average Loss  1.715416, Time  0.239817
2021-09-15 23:09:55.417337 : Epoch  3, Batch   1118, Loss  0.876285, Average Loss  0.869595, Time  0.265195
2021-09-15 23:09:55.637228 : Epoch  7, Batch    617, Loss  0.607161, Average Loss  0.602185, Time  0.236026
2021-09-15 23:09:57.166973 : Epoch  7, Batch    618, Loss  0.604573, Average Loss  0.602264, Time  0.236262
2021-09-15 23:09:57.687130 : Epoch  1, Batch     74, Loss  1.643323, Average Loss  1.714441, Time  0.241761
2021-09-15 23:09:58.425464 : Epoch  3, Batch   1119, Loss  0.867820, Average Loss  0.869676, Time  0.265620
2021-09-15 23:09:58.707774 : Epoch  7, Batch    619, Loss  0.601478, Average Loss  0.602301, Time  0.235987
2021-09-15 23:10:00.243677 : Epoch  7, Batch    620, Loss  0.596999, Average Loss  0.602241, Time  0.236645
2021-09-15 23:10:00.300071 : Epoch  1, Batch     75, Loss  1.654593, Average Loss  1.713643, Time  0.240301
2021-09-15 23:10:01.438096 : Epoch  3, Batch   1120, Loss  0.867472, Average Loss  0.869677, Time  0.266362
2021-09-15 23:10:01.788261 : Epoch  7, Batch    621, Loss  0.608224, Average Loss  0.602241, Time  0.237113
2021-09-15 23:10:02.898426 : Epoch  1, Batch     76, Loss  1.625604, Average Loss  1.712485, Time  0.239890
2021-09-15 23:10:03.330376 : Epoch  7, Batch    622, Loss  0.613534, Average Loss  0.602297, Time  0.237771
2021-09-15 23:10:04.459470 : Epoch  3, Batch   1121, Loss  0.860197, Average Loss  0.869543, Time  0.266726
2021-09-15 23:10:04.854987 : Epoch  7, Batch    623, Loss  0.608541, Average Loss  0.602360, Time  0.235811
2021-09-15 23:10:05.520818 : Epoch  1, Batch     77, Loss  1.645319, Average Loss  1.711613, Time  0.243034
2021-09-15 23:10:06.378178 : Epoch  7, Batch    624, Loss  0.603362, Average Loss  0.602344, Time  0.236014
2021-09-15 23:10:07.445449 : Epoch  3, Batch   1122, Loss  0.871079, Average Loss  0.869370, Time  0.265797
2021-09-15 23:10:07.926415 : Epoch  7, Batch    625, Loss  0.590386, Average Loss  0.602288, Time  0.240105
2021-09-15 23:10:08.110968 : Epoch  1, Batch     78, Loss  1.653415, Average Loss  1.710867, Time  0.240597
2021-09-15 23:10:09.453133 : Epoch  7, Batch    626, Loss  0.609923, Average Loss  0.602274, Time  0.236009
2021-09-15 23:10:10.459253 : Epoch  3, Batch   1123, Loss  0.858693, Average Loss  0.869281, Time  0.281038
2021-09-15 23:10:10.703382 : Epoch  1, Batch     79, Loss  1.638151, Average Loss  1.709946, Time  0.241317
2021-09-15 23:10:10.994852 : Epoch  7, Batch    627, Loss  0.609085, Average Loss  0.602336, Time  0.235955
2021-09-15 23:10:12.531158 : Epoch  7, Batch    628, Loss  0.609157, Average Loss  0.602332, Time  0.236016
2021-09-15 23:10:13.293349 : Epoch  1, Batch     80, Loss  1.642734, Average Loss  1.709106, Time  0.239886
2021-09-15 23:10:13.443047 : Epoch  3, Batch   1124, Loss  0.865154, Average Loss  0.869260, Time  0.266625
2021-09-15 23:10:14.070682 : Epoch  7, Batch    629, Loss  0.609412, Average Loss  0.602389, Time  0.236634
2021-09-15 23:10:15.609418 : Epoch  7, Batch    630, Loss  0.598649, Average Loss  0.602319, Time  0.235573
2021-09-15 23:10:15.888143 : Epoch  1, Batch     81, Loss  1.633413, Average Loss  1.708172, Time  0.240655
2021-09-15 23:10:16.422404 : Epoch  3, Batch   1125, Loss  0.880159, Average Loss  0.869297, Time  0.266323
2021-09-15 23:10:17.155095 : Epoch  7, Batch    631, Loss  0.613114, Average Loss  0.602427, Time  0.241381
2021-09-15 23:10:18.478764 : Epoch  1, Batch     82, Loss  1.638130, Average Loss  1.707317, Time  0.240685
2021-09-15 23:10:18.695064 : Epoch  7, Batch    632, Loss  0.605306, Average Loss  0.602425, Time  0.235884
2021-09-15 23:10:19.420451 : Epoch  3, Batch   1126, Loss  0.888533, Average Loss  0.869442, Time  0.265117
2021-09-15 23:10:20.230590 : Epoch  7, Batch    633, Loss  0.593773, Average Loss  0.602410, Time  0.236061
2021-09-15 23:10:21.074887 : Epoch  1, Batch     83, Loss  1.633035, Average Loss  1.706422, Time  0.240121
2021-09-15 23:10:21.772902 : Epoch  7, Batch    634, Loss  0.598689, Average Loss  0.602389, Time  0.235893
2021-09-15 23:10:22.407672 : Epoch  3, Batch   1127, Loss  0.876263, Average Loss  0.869453, Time  0.266158
2021-09-15 23:10:23.316416 : Epoch  7, Batch    635, Loss  0.608748, Average Loss  0.602436, Time  0.236170
2021-09-15 23:10:23.665252 : Epoch  1, Batch     84, Loss  1.626291, Average Loss  1.705468, Time  0.243330
2021-09-15 23:10:24.862262 : Epoch  7, Batch    636, Loss  0.599697, Average Loss  0.602408, Time  0.237215
2021-09-15 23:10:25.422991 : Epoch  3, Batch   1128, Loss  0.856713, Average Loss  0.869408, Time  0.265593
2021-09-15 23:10:26.252139 : Epoch  1, Batch     85, Loss  1.613700, Average Loss  1.704389, Time  0.240471
2021-09-15 23:10:26.410100 : Epoch  7, Batch    637, Loss  0.618876, Average Loss  0.602488, Time  0.236192
2021-09-15 23:10:27.948863 : Epoch  7, Batch    638, Loss  0.601810, Average Loss  0.602506, Time  0.236643
2021-09-15 23:10:28.408782 : Epoch  3, Batch   1129, Loss  0.878829, Average Loss  0.869437, Time  0.267266
2021-09-15 23:10:28.845518 : Epoch  1, Batch     86, Loss  1.608844, Average Loss  1.703278, Time  0.242769
2021-09-15 23:10:29.505942 : Epoch  7, Batch    639, Loss  0.595274, Average Loss  0.602441, Time  0.237658
2021-09-15 23:10:31.043024 : Epoch  7, Batch    640, Loss  0.597753, Average Loss  0.602428, Time  0.235847
2021-09-15 23:10:31.391218 : Epoch  3, Batch   1130, Loss  0.883070, Average Loss  0.869509, Time  0.266142
2021-09-15 23:10:31.432452 : Epoch  1, Batch     87, Loss  1.601014, Average Loss  1.702102, Time  0.239536
2021-09-15 23:10:32.594201 : Epoch  7, Batch    641, Loss  0.600918, Average Loss  0.602442, Time  0.240348
2021-09-15 23:10:34.019572 : Epoch  1, Batch     88, Loss  1.602187, Average Loss  1.700967, Time  0.239909
2021-09-15 23:10:34.135894 : Epoch  7, Batch    642, Loss  0.604102, Average Loss  0.602461, Time  0.235890
2021-09-15 23:10:34.387232 : Epoch  3, Batch   1131, Loss  0.871186, Average Loss  0.869516, Time  0.266387
2021-09-15 23:10:35.676866 : Epoch  7, Batch    643, Loss  0.595761, Average Loss  0.602396, Time  0.237873
2021-09-15 23:10:36.608554 : Epoch  1, Batch     89, Loss  1.580593, Average Loss  1.699614, Time  0.240059
2021-09-15 23:10:37.222434 : Epoch  7, Batch    644, Loss  0.600929, Average Loss  0.602387, Time  0.236710
2021-09-15 23:10:37.384264 : Epoch  3, Batch   1132, Loss  0.878529, Average Loss  0.869593, Time  0.265208
2021-09-15 23:10:38.764851 : Epoch  7, Batch    645, Loss  0.598399, Average Loss  0.602391, Time  0.236495
2021-09-15 23:10:39.202891 : Epoch  1, Batch     90, Loss  1.584982, Average Loss  1.698341, Time  0.239788
2021-09-15 23:10:40.306127 : Epoch  7, Batch    646, Loss  0.592473, Average Loss  0.602316, Time  0.236270
2021-09-15 23:10:40.385469 : Epoch  3, Batch   1133, Loss  0.864729, Average Loss  0.869604, Time  0.265079
2021-09-15 23:10:41.801959 : Epoch  1, Batch     91, Loss  1.583662, Average Loss  1.697081, Time  0.240933
2021-09-15 23:10:41.854160 : Epoch  7, Batch    647, Loss  0.607258, Average Loss  0.602308, Time  0.236952
2021-09-15 23:10:43.366215 : Epoch  3, Batch   1134, Loss  0.868015, Average Loss  0.869556, Time  0.264828
2021-09-15 23:10:43.396385 : Epoch  7, Batch    648, Loss  0.591746, Average Loss  0.602283, Time  0.239665
2021-09-15 23:10:44.395558 : Epoch  1, Batch     92, Loss  1.559963, Average Loss  1.695590, Time  0.240755
2021-09-15 23:10:46.349864 : Epoch  3, Batch   1135, Loss  0.868907, Average Loss  0.869520, Time  0.265555
2021-09-15 23:10:46.984105 : Epoch  1, Batch     93, Loss  1.569036, Average Loss  1.694229, Time  0.243442
2021-09-15 23:10:47.293781 : Epoch  7, Batch    649, Loss  0.595409, Average Loss  0.602220, Time  0.266481
2021-09-15 23:10:48.828385 : Epoch  7, Batch    650, Loss  0.599177, Average Loss  0.602232, Time  0.238724
2021-09-15 23:10:49.328509 : Epoch  3, Batch   1136, Loss  0.862454, Average Loss  0.869440, Time  0.265212
2021-09-15 23:10:49.576454 : Epoch  1, Batch     94, Loss  1.566789, Average Loss  1.692874, Time  0.239585
2021-09-15 23:10:50.369415 : Epoch  7, Batch    651, Loss  0.583885, Average Loss  0.602133, Time  0.236776
2021-09-15 23:10:51.900428 : Epoch  7, Batch    652, Loss  0.607064, Average Loss  0.602144, Time  0.235947
2021-09-15 23:10:52.168115 : Epoch  1, Batch     95, Loss  1.545122, Average Loss  1.691318, Time  0.239895
2021-09-15 23:10:52.341704 : Epoch  3, Batch   1137, Loss  0.856177, Average Loss  0.869492, Time  0.266657
2021-09-15 23:10:53.433951 : Epoch  7, Batch    653, Loss  0.604220, Average Loss  0.602177, Time  0.236639
2021-09-15 23:10:53.579832 : Epoch  7, Batch    654, Loss  0.546355, Average Loss  0.601946, Time  0.093708
2021-09-15 23:10:54.748136 : Epoch  1, Batch     96, Loss  1.547942, Average Loss  1.689825, Time  0.240686
2021-09-15 23:10:55.092099 : Epoch  7, Batch    655, Loss  0.597303, Average Loss  0.601914, Time  0.235791
2021-09-15 23:10:55.325433 : Epoch  3, Batch   1138, Loss  0.880341, Average Loss  0.869487, Time  0.276577
2021-09-15 23:10:56.602095 : Epoch  7, Batch    656, Loss  0.572069, Average Loss  0.601791, Time  0.236618
2021-09-15 23:10:57.346395 : Epoch  1, Batch     97, Loss  1.519503, Average Loss  1.688069, Time  0.240533
2021-09-15 23:10:58.134144 : Epoch  7, Batch    657, Loss  0.607121, Average Loss  0.601777, Time  0.237140
2021-09-15 23:10:58.311961 : Epoch  3, Batch   1139, Loss  0.876325, Average Loss  0.869426, Time  0.265361
2021-09-15 23:10:59.666077 : Epoch  7, Batch    658, Loss  0.592495, Average Loss  0.601694, Time  0.235829
2021-09-15 23:10:59.944310 : Epoch  1, Batch     98, Loss  1.537418, Average Loss  1.686532, Time  0.240723
2021-09-15 23:11:01.194384 : Epoch  7, Batch    659, Loss  0.594866, Average Loss  0.601694, Time  0.235756
2021-09-15 23:11:01.280291 : Epoch  3, Batch   1140, Loss  0.891536, Average Loss  0.869446, Time  0.265487
2021-09-15 23:11:02.538040 : Epoch  1, Batch     99, Loss  1.509310, Average Loss  1.684742, Time  0.241157
2021-09-15 23:11:02.728921 : Epoch  7, Batch    660, Loss  0.602117, Average Loss  0.601715, Time  0.235959
2021-09-15 23:11:04.249190 : Epoch  7, Batch    661, Loss  0.611210, Average Loss  0.601698, Time  0.235916
2021-09-15 23:11:04.332185 : Epoch  3, Batch   1141, Loss  0.859635, Average Loss  0.869492, Time  0.267147
2021-09-15 23:11:05.160250 : Epoch  1, Batch    100, Loss  1.496016, Average Loss  1.682854, Time  0.240106
2021-09-15 23:11:05.782008 : Epoch  7, Batch    662, Loss  0.606385, Average Loss  0.601763, Time  0.236376
2021-09-15 23:11:07.306886 : Epoch  7, Batch    663, Loss  0.602237, Average Loss  0.601763, Time  0.236364
2021-09-15 23:11:07.352061 : Epoch  3, Batch   1142, Loss  0.877623, Average Loss  0.869454, Time  0.265688
2021-09-15 23:11:08.826461 : Epoch  7, Batch    664, Loss  0.603437, Average Loss  0.601712, Time  0.238057
2021-09-15 23:11:10.344891 : Epoch  3, Batch   1143, Loss  0.881774, Average Loss  0.869586, Time  0.266655
2021-09-15 23:11:10.355560 : Epoch  7, Batch    665, Loss  0.599466, Average Loss  0.601657, Time  0.235973
2021-09-15 23:11:11.880701 : Epoch  7, Batch    666, Loss  0.606504, Average Loss  0.601701, Time  0.235738
2021-09-15 23:11:13.333417 : Epoch  3, Batch   1144, Loss  0.873583, Average Loss  0.869564, Time  0.267027
2021-09-15 23:11:13.429463 : Epoch  7, Batch    667, Loss  0.610403, Average Loss  0.601770, Time  0.236712
2021-09-15 23:11:14.958416 : Epoch  7, Batch    668, Loss  0.605547, Average Loss  0.601782, Time  0.236213
2021-09-15 23:11:16.346882 : Epoch  3, Batch   1145, Loss  0.860101, Average Loss  0.869505, Time  0.266566
2021-09-15 23:11:16.493682 : Epoch  7, Batch    669, Loss  0.596360, Average Loss  0.601767, Time  0.236276
2021-09-15 23:11:18.018398 : Epoch  7, Batch    670, Loss  0.611747, Average Loss  0.601813, Time  0.235900
2021-09-15 23:11:19.354542 : Epoch  3, Batch   1146, Loss  0.874871, Average Loss  0.869551, Time  0.265034
2021-09-15 23:11:19.562543 : Epoch  7, Batch    671, Loss  0.598085, Average Loss  0.601789, Time  0.236501
2021-09-15 23:11:21.090250 : Epoch  7, Batch    672, Loss  0.589308, Average Loss  0.601771, Time  0.236951
2021-09-15 23:11:22.336669 : Epoch  3, Batch   1147, Loss  0.856925, Average Loss  0.869497, Time  0.266280
2021-09-15 23:11:22.632259 : Epoch  7, Batch    673, Loss  0.600228, Average Loss  0.601786, Time  0.235883
2021-09-15 23:11:24.155423 : Epoch  7, Batch    674, Loss  0.599218, Average Loss  0.601840, Time  0.235691
2021-09-15 23:11:25.346924 : Epoch  3, Batch   1148, Loss  0.868969, Average Loss  0.869467, Time  0.267230
2021-09-15 23:11:25.698436 : Epoch  7, Batch    675, Loss  0.596821, Average Loss  0.601751, Time  0.236781
2021-09-15 23:11:27.223742 : Epoch  7, Batch    676, Loss  0.598355, Average Loss  0.601771, Time  0.236516
2021-09-15 23:11:28.364699 : Epoch  3, Batch   1149, Loss  0.863440, Average Loss  0.869409, Time  0.269597
2021-09-15 23:11:28.756428 : Epoch  7, Batch    677, Loss  0.601698, Average Loss  0.601711, Time  0.235973
2021-09-15 23:11:30.288306 : Epoch  7, Batch    678, Loss  0.614612, Average Loss  0.601767, Time  0.236889
2021-09-15 23:11:31.354192 : Epoch  3, Batch   1150, Loss  0.887542, Average Loss  0.869559, Time  0.266495
2021-09-15 23:11:34.356809 : Epoch  3, Batch   1151, Loss  0.863987, Average Loss  0.869540, Time  0.265791
2021-09-15 23:11:37.384526 : Epoch  3, Batch   1152, Loss  0.853305, Average Loss  0.869356, Time  0.267478
2021-09-15 23:11:40.403458 : Epoch  3, Batch   1153, Loss  0.857929, Average Loss  0.869394, Time  0.277471
2021-09-15 23:11:43.389233 : Epoch  3, Batch   1154, Loss  0.859254, Average Loss  0.869339, Time  0.267094
2021-09-15 23:11:46.378232 : Epoch  3, Batch   1155, Loss  0.861195, Average Loss  0.869254, Time  0.265137
2021-09-15 23:11:49.354523 : Epoch  3, Batch   1156, Loss  0.863342, Average Loss  0.869176, Time  0.265282
2021-09-15 23:11:52.350504 : Epoch  3, Batch   1157, Loss  0.872458, Average Loss  0.869144, Time  0.266871
2021-09-15 23:11:55.335145 : Epoch  3, Batch   1158, Loss  0.878894, Average Loss  0.869141, Time  0.267196
2021-09-15 23:11:58.345008 : Epoch  3, Batch   1159, Loss  0.873681, Average Loss  0.869263, Time  0.269467
2021-09-15 23:12:01.345916 : Epoch  3, Batch   1160, Loss  0.867489, Average Loss  0.869283, Time  0.266824
2021-09-15 23:12:04.329127 : Epoch  3, Batch   1161, Loss  0.886697, Average Loss  0.869419, Time  0.265686
2021-09-15 23:12:07.307082 : Epoch  3, Batch   1162, Loss  0.862943, Average Loss  0.869410, Time  0.265959
2021-09-15 23:12:10.291098 : Epoch  3, Batch   1163, Loss  0.869279, Average Loss  0.869336, Time  0.266429
2021-09-15 23:12:13.291463 : Epoch  3, Batch   1164, Loss  0.855011, Average Loss  0.869220, Time  0.265070
2021-09-15 23:12:16.320567 : Epoch  3, Batch   1165, Loss  0.864668, Average Loss  0.869288, Time  0.265092
2021-09-15 23:12:19.298187 : Epoch  3, Batch   1166, Loss  0.874671, Average Loss  0.869267, Time  0.266238
2021-09-15 23:12:22.309941 : Epoch  3, Batch   1167, Loss  0.888498, Average Loss  0.869279, Time  0.266195
2021-09-15 23:12:25.344412 : Epoch  3, Batch   1168, Loss  0.872665, Average Loss  0.869306, Time  0.277892
2021-09-15 23:12:27.593747 : CheckPoint: Validation Loss  0.00025501, Best Loss  0.00024241
2021-09-15 23:12:28.326424 : Epoch  3, Batch   1169, Loss  0.868409, Average Loss  0.869289, Time  0.265644
2021-09-15 23:12:29.160413 : Epoch  7, Batch    679, Loss  0.593676, Average Loss  0.601696, Time  0.260497
2021-09-15 23:12:30.707389 : Epoch  7, Batch    680, Loss  0.596548, Average Loss  0.601643, Time  0.244545
2021-09-15 23:12:31.332832 : Epoch  3, Batch   1170, Loss  0.868785, Average Loss  0.869218, Time  0.267286
2021-09-15 23:12:32.251886 : Epoch  7, Batch    681, Loss  0.601590, Average Loss  0.601674, Time  0.236623
2021-09-15 23:12:33.789135 : Epoch  7, Batch    682, Loss  0.598636, Average Loss  0.601644, Time  0.235610
2021-09-15 23:12:34.323820 : Epoch  3, Batch   1171, Loss  0.883819, Average Loss  0.869397, Time  0.266903
2021-09-15 23:12:35.329944 : Epoch  7, Batch    683, Loss  0.613807, Average Loss  0.601710, Time  0.236452
2021-09-15 23:12:36.869546 : Epoch  7, Batch    684, Loss  0.595899, Average Loss  0.601673, Time  0.237820
2021-09-15 23:12:37.315704 : Epoch  3, Batch   1172, Loss  0.883303, Average Loss  0.869506, Time  0.265409
2021-09-15 23:12:38.409954 : Epoch  7, Batch    685, Loss  0.602853, Average Loss  0.601677, Time  0.237068
2021-09-15 23:12:39.962798 : Epoch  7, Batch    686, Loss  0.598768, Average Loss  0.601661, Time  0.236393
2021-09-15 23:12:40.281504 : Epoch  3, Batch   1173, Loss  0.864457, Average Loss  0.869522, Time  0.266509
2021-09-15 23:12:41.505319 : Epoch  7, Batch    687, Loss  0.600518, Average Loss  0.601644, Time  0.238428
2021-09-15 23:12:43.052031 : Epoch  7, Batch    688, Loss  0.599580, Average Loss  0.601608, Time  0.237396
2021-09-15 23:12:43.275105 : Epoch  3, Batch   1174, Loss  0.857813, Average Loss  0.869421, Time  0.266150
2021-09-15 23:12:44.589861 : Epoch  7, Batch    689, Loss  0.602182, Average Loss  0.601539, Time  0.236246
2021-09-15 23:12:46.142630 : Epoch  7, Batch    690, Loss  0.611991, Average Loss  0.601598, Time  0.238720
2021-09-15 23:12:46.294541 : Epoch  3, Batch   1175, Loss  0.860182, Average Loss  0.869483, Time  0.265882
2021-09-15 23:12:47.688126 : Epoch  7, Batch    691, Loss  0.599375, Average Loss  0.601575, Time  0.237071
2021-09-15 23:12:49.228863 : Epoch  7, Batch    692, Loss  0.602286, Average Loss  0.601549, Time  0.236088
2021-09-15 23:12:49.312421 : Epoch  3, Batch   1176, Loss  0.864008, Average Loss  0.869319, Time  0.266374
2021-09-15 23:12:50.766757 : Epoch  7, Batch    693, Loss  0.599404, Average Loss  0.601512, Time  0.238204
2021-09-15 23:12:52.312905 : Epoch  7, Batch    694, Loss  0.597472, Average Loss  0.601524, Time  0.236172
2021-09-15 23:12:52.320439 : Epoch  3, Batch   1177, Loss  0.870160, Average Loss  0.869517, Time  0.265047
2021-09-15 23:12:53.860966 : Epoch  7, Batch    695, Loss  0.600852, Average Loss  0.601469, Time  0.237237
2021-09-15 23:12:55.336524 : Epoch  3, Batch   1178, Loss  0.882062, Average Loss  0.869501, Time  0.265771
2021-09-15 23:12:55.404885 : Epoch  7, Batch    696, Loss  0.596196, Average Loss  0.601411, Time  0.236073
2021-09-15 23:12:56.937999 : Epoch  7, Batch    697, Loss  0.606593, Average Loss  0.601464, Time  0.236211
2021-09-15 23:12:58.334046 : Epoch  3, Batch   1179, Loss  0.841429, Average Loss  0.869414, Time  0.265602
2021-09-15 23:12:58.481269 : Epoch  7, Batch    698, Loss  0.592482, Average Loss  0.601449, Time  0.238108
2021-09-15 23:13:00.010478 : Epoch  7, Batch    699, Loss  0.602128, Average Loss  0.601437, Time  0.236827
2021-09-15 23:13:01.325487 : Epoch  3, Batch   1180, Loss  0.878614, Average Loss  0.869439, Time  0.265450
2021-09-15 23:13:01.552181 : Epoch  7, Batch    700, Loss  0.605096, Average Loss  0.601464, Time  0.237198
2021-09-15 23:13:03.104430 : Epoch  7, Batch    701, Loss  0.588729, Average Loss  0.601403, Time  0.237633
2021-09-15 23:13:04.311122 : Epoch  3, Batch   1181, Loss  0.879302, Average Loss  0.869531, Time  0.266416
2021-09-15 23:13:04.663776 : Epoch  7, Batch    702, Loss  0.593518, Average Loss  0.601315, Time  0.235951
2021-09-15 23:13:06.197644 : Epoch  7, Batch    703, Loss  0.588592, Average Loss  0.601248, Time  0.235636
2021-09-15 23:13:07.336028 : Epoch  3, Batch   1182, Loss  0.879545, Average Loss  0.869552, Time  0.266356
2021-09-15 23:13:07.737358 : Epoch  7, Batch    704, Loss  0.598387, Average Loss  0.601253, Time  0.236135
2021-09-15 23:13:09.271683 : Epoch  7, Batch    705, Loss  0.609843, Average Loss  0.601291, Time  0.236599
2021-09-15 23:13:10.366099 : Epoch  3, Batch   1183, Loss  0.872819, Average Loss  0.869603, Time  0.275253
2021-09-15 23:13:10.808114 : Epoch  7, Batch    706, Loss  0.605240, Average Loss  0.601297, Time  0.236291
2021-09-15 23:13:12.340496 : Epoch  7, Batch    707, Loss  0.598942, Average Loss  0.601326, Time  0.235613
2021-09-15 23:13:13.378100 : Epoch  3, Batch   1184, Loss  0.868796, Average Loss  0.869645, Time  0.265633
2021-09-15 23:13:13.883423 : Epoch  7, Batch    708, Loss  0.595828, Average Loss  0.601277, Time  0.236732
2021-09-15 23:13:15.426070 : Epoch  7, Batch    709, Loss  0.602785, Average Loss  0.601226, Time  0.238344
2021-09-15 23:13:16.358141 : Epoch  3, Batch   1185, Loss  0.890270, Average Loss  0.869842, Time  0.265355
2021-09-15 23:13:16.965438 : Epoch  7, Batch    710, Loss  0.608854, Average Loss  0.601243, Time  0.236832
2021-09-15 23:13:18.509404 : Epoch  7, Batch    711, Loss  0.606658, Average Loss  0.601300, Time  0.235810
2021-09-15 23:13:19.343652 : Epoch  3, Batch   1186, Loss  0.845294, Average Loss  0.869724, Time  0.265212
2021-09-15 23:13:20.048449 : Epoch  7, Batch    712, Loss  0.618302, Average Loss  0.601406, Time  0.235841
2021-09-15 23:13:21.591398 : Epoch  7, Batch    713, Loss  0.597585, Average Loss  0.601379, Time  0.236166
2021-09-15 23:13:22.331297 : Epoch  3, Batch   1187, Loss  0.862308, Average Loss  0.869651, Time  0.264924
2021-09-15 23:13:23.126037 : Epoch  7, Batch    714, Loss  0.595081, Average Loss  0.601342, Time  0.237068
2021-09-15 23:13:24.686426 : Epoch  7, Batch    715, Loss  0.614757, Average Loss  0.601427, Time  0.236178
2021-09-15 23:13:25.360223 : Epoch  3, Batch   1188, Loss  0.882344, Average Loss  0.869785, Time  0.265760
2021-09-15 23:13:26.222019 : Epoch  7, Batch    716, Loss  0.598576, Average Loss  0.601441, Time  0.236134
2021-09-15 23:13:27.764433 : Epoch  7, Batch    717, Loss  0.601852, Average Loss  0.601444, Time  0.236877
2021-09-15 23:13:29.299445 : Epoch  7, Batch    718, Loss  0.595826, Average Loss  0.601426, Time  0.236117
2021-09-15 23:13:30.846195 : Epoch  7, Batch    719, Loss  0.592163, Average Loss  0.601421, Time  0.235909
2021-09-15 23:13:32.390914 : Epoch  7, Batch    720, Loss  0.606403, Average Loss  0.601478, Time  0.236332
2021-09-15 23:13:33.931262 : Epoch  7, Batch    721, Loss  0.608749, Average Loss  0.601577, Time  0.235948
2021-09-15 23:13:35.477079 : Epoch  7, Batch    722, Loss  0.610966, Average Loss  0.601635, Time  0.236539
2021-09-15 23:13:37.011132 : Epoch  7, Batch    723, Loss  0.597379, Average Loss  0.601672, Time  0.236850
2021-09-15 23:13:38.554151 : Epoch  7, Batch    724, Loss  0.605850, Average Loss  0.601744, Time  0.238741
2021-09-15 23:13:40.091076 : Epoch  7, Batch    725, Loss  0.603370, Average Loss  0.601750, Time  0.236042
2021-09-15 23:13:41.638664 : Epoch  7, Batch    726, Loss  0.600963, Average Loss  0.601722, Time  0.235785
2021-09-15 23:13:43.185113 : Epoch  7, Batch    727, Loss  0.608352, Average Loss  0.601790, Time  0.238480
2021-09-15 23:13:44.726103 : Epoch  7, Batch    728, Loss  0.602247, Average Loss  0.601741, Time  0.236136
2021-09-15 23:13:46.267665 : Epoch  7, Batch    729, Loss  0.604233, Average Loss  0.601729, Time  0.236520
2021-09-15 23:13:47.809369 : Epoch  7, Batch    730, Loss  0.599447, Average Loss  0.601727, Time  0.236235
2021-09-15 23:13:49.352895 : Epoch  7, Batch    731, Loss  0.593761, Average Loss  0.601708, Time  0.238492
2021-09-15 23:13:50.889595 : Epoch  7, Batch    732, Loss  0.595702, Average Loss  0.601688, Time  0.236284
2021-09-15 23:13:52.429572 : Epoch  7, Batch    733, Loss  0.596309, Average Loss  0.601685, Time  0.236073
2021-09-15 23:13:53.973152 : Epoch  7, Batch    734, Loss  0.607204, Average Loss  0.601708, Time  0.235678
2021-09-15 23:13:55.510941 : Epoch  7, Batch    735, Loss  0.611848, Average Loss  0.601778, Time  0.235987
2021-09-15 23:13:57.053923 : Epoch  7, Batch    736, Loss  0.598190, Average Loss  0.601758, Time  0.235980
2021-09-15 23:13:58.602080 : Epoch  7, Batch    737, Loss  0.605503, Average Loss  0.601759, Time  0.235883
2021-09-15 23:14:00.154404 : Epoch  7, Batch    738, Loss  0.599850, Average Loss  0.601760, Time  0.241056
2021-09-15 23:14:01.733082 : Epoch  7, Batch    739, Loss  0.618282, Average Loss  0.601813, Time  0.236164
2021-09-15 23:14:03.269502 : Epoch  7, Batch    740, Loss  0.595894, Average Loss  0.601817, Time  0.235481
2021-09-15 23:14:04.820232 : Epoch  7, Batch    741, Loss  0.607492, Average Loss  0.601869, Time  0.238629
2021-09-15 23:14:06.364439 : Epoch  7, Batch    742, Loss  0.599037, Average Loss  0.601794, Time  0.236807
2021-09-15 23:14:07.901038 : Epoch  7, Batch    743, Loss  0.605516, Average Loss  0.601767, Time  0.235998
2021-09-15 23:14:09.440193 : Epoch  7, Batch    744, Loss  0.605255, Average Loss  0.601784, Time  0.237437
2021-09-15 23:14:10.983644 : Epoch  7, Batch    745, Loss  0.609852, Average Loss  0.601870, Time  0.236310
2021-09-15 23:14:12.521954 : Epoch  7, Batch    746, Loss  0.611461, Average Loss  0.601918, Time  0.235981
2021-09-15 23:14:14.060124 : Epoch  7, Batch    747, Loss  0.590924, Average Loss  0.601877, Time  0.236328
2021-09-15 23:14:15.601224 : Epoch  7, Batch    748, Loss  0.592058, Average Loss  0.601856, Time  0.238326
2021-09-15 23:14:19.452150 : Epoch  7, Batch    749, Loss  0.607846, Average Loss  0.601857, Time  0.273624
2021-09-15 23:14:20.999983 : Epoch  7, Batch    750, Loss  0.584388, Average Loss  0.601746, Time  0.252181
2021-09-15 23:14:22.536082 : Epoch  7, Batch    751, Loss  0.601258, Average Loss  0.601720, Time  0.239797
2021-09-15 23:14:24.072427 : Epoch  7, Batch    752, Loss  0.613535, Average Loss  0.601773, Time  0.236076
2021-09-15 23:14:25.602439 : Epoch  7, Batch    753, Loss  0.597758, Average Loss  0.601759, Time  0.235605
2021-09-15 23:14:27.137179 : Epoch  7, Batch    754, Loss  0.612272, Average Loss  0.601763, Time  0.239644
2021-09-15 23:14:28.672415 : Epoch  7, Batch    755, Loss  0.606132, Average Loss  0.601748, Time  0.235663
2021-09-15 23:14:30.213399 : Epoch  7, Batch    756, Loss  0.602353, Average Loss  0.601655, Time  0.236619
2021-09-15 23:14:31.753402 : Epoch  7, Batch    757, Loss  0.600575, Average Loss  0.601665, Time  0.236101
2021-09-15 23:14:33.288346 : Epoch  7, Batch    758, Loss  0.596565, Average Loss  0.601635, Time  0.235658
2021-09-15 23:14:34.823313 : Epoch  7, Batch    759, Loss  0.592385, Average Loss  0.601586, Time  0.236342
2021-09-15 23:14:36.371146 : Epoch  7, Batch    760, Loss  0.597480, Average Loss  0.601549, Time  0.235726
2021-09-15 23:14:37.910170 : Epoch  7, Batch    761, Loss  0.601671, Average Loss  0.601588, Time  0.237448
2021-09-15 23:14:39.452626 : Epoch  7, Batch    762, Loss  0.603174, Average Loss  0.601626, Time  0.237365
2021-09-15 23:14:40.990871 : Epoch  7, Batch    763, Loss  0.591770, Average Loss  0.601535, Time  0.236168
2021-09-15 23:14:42.549881 : Epoch  7, Batch    764, Loss  0.599505, Average Loss  0.601493, Time  0.236502
2021-09-15 23:14:44.090705 : Epoch  7, Batch    765, Loss  0.614566, Average Loss  0.601552, Time  0.238102
2021-09-15 23:14:45.622440 : Epoch  7, Batch    766, Loss  0.596921, Average Loss  0.601501, Time  0.236433
2021-09-15 23:14:47.157267 : Epoch  7, Batch    767, Loss  0.602541, Average Loss  0.601501, Time  0.236933
2021-09-15 23:14:48.700250 : Epoch  7, Batch    768, Loss  0.593602, Average Loss  0.601522, Time  0.235986
2021-09-15 23:14:50.242070 : Epoch  7, Batch    769, Loss  0.605165, Average Loss  0.601564, Time  0.235987
2021-09-15 23:14:51.782393 : Epoch  7, Batch    770, Loss  0.611098, Average Loss  0.601596, Time  0.236301
2021-09-15 23:14:53.329300 : Epoch  7, Batch    771, Loss  0.611145, Average Loss  0.601628, Time  0.236978
2021-09-15 23:14:54.868075 : Epoch  7, Batch    772, Loss  0.621695, Average Loss  0.601763, Time  0.235907
2021-09-15 23:14:56.410032 : Epoch  7, Batch    773, Loss  0.619483, Average Loss  0.601834, Time  0.236254
2021-09-15 23:14:57.952397 : Epoch  7, Batch    774, Loss  0.613994, Average Loss  0.601884, Time  0.235663
2021-09-15 23:14:59.494900 : Epoch  7, Batch    775, Loss  0.612954, Average Loss  0.601966, Time  0.236364
2021-09-15 23:15:01.053146 : Epoch  7, Batch    776, Loss  0.600058, Average Loss  0.601944, Time  0.237340
2021-09-15 23:15:02.604501 : Epoch  7, Batch    777, Loss  0.600978, Average Loss  0.601971, Time  0.236768
2021-09-15 23:15:04.147452 : Epoch  7, Batch    778, Loss  0.599095, Average Loss  0.601887, Time  0.236547
2021-09-15 23:15:08.848722 : CheckPoint: Validation Loss  0.00052060, Best Loss  0.00052060
2021-09-15 23:15:08.891555 : Best Model Updated
2021-09-15 23:15:12.468997 : Epoch  1, Batch    101, Loss  1.482903, Average Loss  1.680875, Time  0.241079
2021-09-15 23:15:15.067931 : Epoch  1, Batch    102, Loss  1.485892, Average Loss  1.678963, Time  0.240474
2021-09-15 23:15:17.661195 : Epoch  1, Batch    103, Loss  1.479825, Average Loss  1.677030, Time  0.240224
2021-09-15 23:15:20.249404 : Epoch  1, Batch    104, Loss  1.464085, Average Loss  1.674982, Time  0.239565
2021-09-15 23:15:22.851798 : Epoch  1, Batch    105, Loss  1.454509, Average Loss  1.672882, Time  0.239798
2021-09-15 23:15:25.459396 : Epoch  1, Batch    106, Loss  1.454721, Average Loss  1.670824, Time  0.239693
2021-09-15 23:15:28.076906 : Epoch  1, Batch    107, Loss  1.442682, Average Loss  1.668692, Time  0.239804
2021-09-15 23:15:30.694436 : Epoch  1, Batch    108, Loss  1.445482, Average Loss  1.666625, Time  0.240092
2021-09-15 23:15:33.314408 : Epoch  1, Batch    109, Loss  1.440907, Average Loss  1.664554, Time  0.240125
2021-09-15 23:15:35.950799 : Epoch  1, Batch    110, Loss  1.427547, Average Loss  1.662400, Time  0.241244
2021-09-15 23:15:38.554403 : Epoch  1, Batch    111, Loss  1.406821, Average Loss  1.660097, Time  0.239570
2021-09-15 23:15:41.155449 : Epoch  1, Batch    112, Loss  1.397771, Average Loss  1.657755, Time  0.241225
2021-09-15 23:15:43.784849 : Epoch  1, Batch    113, Loss  1.410306, Average Loss  1.655565, Time  0.240092
2021-09-15 23:15:46.399628 : Epoch  1, Batch    114, Loss  1.389146, Average Loss  1.653228, Time  0.241012
2021-09-15 23:15:49.007847 : Epoch  1, Batch    115, Loss  1.405851, Average Loss  1.651077, Time  0.240067
2021-09-15 23:15:51.611812 : Epoch  1, Batch    116, Loss  1.395969, Average Loss  1.648878, Time  0.239934
2021-09-15 23:15:54.214011 : Epoch  1, Batch    117, Loss  1.380598, Average Loss  1.646585, Time  0.241045
2021-09-15 23:15:56.817706 : Epoch  1, Batch    118, Loss  1.386781, Average Loss  1.644383, Time  0.240533
2021-09-15 23:15:59.412179 : Epoch  1, Batch    119, Loss  1.372183, Average Loss  1.642096, Time  0.240335
2021-09-15 23:16:01.509343 : CheckPoint: Validation Loss  0.00024887, Best Loss  0.00024241
2021-09-15 23:16:02.017029 : Epoch  1, Batch    120, Loss  1.371010, Average Loss  1.639837, Time  0.240871
2021-09-15 23:16:03.063276 : Epoch  7, Batch    779, Loss  0.603304, Average Loss  0.601847, Time  0.254294
2021-09-15 23:16:04.599372 : Epoch  7, Batch    780, Loss  0.596902, Average Loss  0.601813, Time  0.238522
2021-09-15 23:16:04.647894 : Epoch  1, Batch    121, Loss  1.357416, Average Loss  1.637503, Time  0.240044
2021-09-15 23:16:06.149539 : Epoch  7, Batch    781, Loss  0.596532, Average Loss  0.601756, Time  0.235824
2021-09-15 23:16:07.250878 : Epoch  1, Batch    122, Loss  1.372174, Average Loss  1.635328, Time  0.240144
2021-09-15 23:16:07.690697 : Epoch  7, Batch    782, Loss  0.605668, Average Loss  0.601742, Time  0.235953
2021-09-15 23:16:09.229392 : Epoch  7, Batch    783, Loss  0.600357, Average Loss  0.601739, Time  0.236484
2021-09-15 23:16:09.865243 : Epoch  1, Batch    123, Loss  1.354520, Average Loss  1.633045, Time  0.240530
2021-09-15 23:16:10.768985 : Epoch  7, Batch    784, Loss  0.602044, Average Loss  0.601769, Time  0.235990
2021-09-15 23:16:12.309958 : Epoch  7, Batch    785, Loss  0.604281, Average Loss  0.601801, Time  0.235645
2021-09-15 23:16:12.478404 : Epoch  1, Batch    124, Loss  1.367228, Average Loss  1.630901, Time  0.239909
2021-09-15 23:16:13.852015 : Epoch  7, Batch    786, Loss  0.611426, Average Loss  0.601818, Time  0.236072
2021-09-15 23:16:15.068172 : Epoch  1, Batch    125, Loss  1.354207, Average Loss  1.628688, Time  0.240100
2021-09-15 23:16:15.399080 : Epoch  7, Batch    787, Loss  0.600165, Average Loss  0.601816, Time  0.236172
2021-09-15 23:16:15.432605 : Saving Model after 7-th Epoch.
2021-09-15 23:16:16.302619 : Epoch Finished.
2021-09-15 23:16:17.655299 : Epoch  1, Batch    126, Loss  1.370424, Average Loss  1.626638, Time  0.241177
2021-09-15 23:16:18.647614 : Batch Shuffled
2021-09-15 23:16:20.177244 : Epoch  8, Batch      1, Loss  0.612797, Average Loss  0.601847, Time  0.236167
2021-09-15 23:16:20.244802 : Epoch  1, Batch    127, Loss  1.347545, Average Loss  1.624440, Time  0.240121
2021-09-15 23:16:21.700326 : Epoch  8, Batch      2, Loss  0.600438, Average Loss  0.601824, Time  0.236366
2021-09-15 23:16:22.842023 : Epoch  1, Batch    128, Loss  1.346834, Average Loss  1.622272, Time  0.239893
2021-09-15 23:16:23.221878 : Epoch  8, Batch      3, Loss  0.600749, Average Loss  0.601839, Time  0.238546
2021-09-15 23:16:24.751262 : Epoch  8, Batch      4, Loss  0.603393, Average Loss  0.601804, Time  0.236999
2021-09-15 23:16:25.442513 : Epoch  1, Batch    129, Loss  1.345472, Average Loss  1.620126, Time  0.240965
2021-09-15 23:16:26.281219 : Epoch  8, Batch      5, Loss  0.599006, Average Loss  0.601790, Time  0.236577
2021-09-15 23:16:27.810702 : Epoch  8, Batch      6, Loss  0.608211, Average Loss  0.601827, Time  0.236448
2021-09-15 23:16:28.035680 : Epoch  1, Batch    130, Loss  1.338878, Average Loss  1.617962, Time  0.241620
2021-09-15 23:16:29.344488 : Epoch  8, Batch      7, Loss  0.599474, Average Loss  0.601766, Time  0.236673
2021-09-15 23:16:30.659985 : Epoch  1, Batch    131, Loss  1.349773, Average Loss  1.615915, Time  0.241104
2021-09-15 23:16:30.878273 : Epoch  8, Batch      8, Loss  0.591805, Average Loss  0.601721, Time  0.236678
2021-09-15 23:16:32.399414 : Epoch  8, Batch      9, Loss  0.604264, Average Loss  0.601769, Time  0.236209
2021-09-15 23:16:33.275637 : Epoch  1, Batch    132, Loss  1.317866, Average Loss  1.613657, Time  0.240037
2021-09-15 23:16:33.944403 : Epoch  8, Batch     10, Loss  0.589308, Average Loss  0.601686, Time  0.237963
2021-09-15 23:16:35.482965 : Epoch  8, Batch     11, Loss  0.604745, Average Loss  0.601746, Time  0.236097
2021-09-15 23:16:35.878761 : Epoch  1, Batch    133, Loss  1.356671, Average Loss  1.611725, Time  0.241114
2021-09-15 23:16:37.030267 : Epoch  8, Batch     12, Loss  0.604760, Average Loss  0.601677, Time  0.236014
2021-09-15 23:16:38.485837 : Epoch  1, Batch    134, Loss  1.326364, Average Loss  1.609595, Time  0.242000
2021-09-15 23:16:38.577379 : Epoch  8, Batch     13, Loss  0.606194, Average Loss  0.601674, Time  0.238397
2021-09-15 23:16:40.109305 : Epoch  8, Batch     14, Loss  0.599595, Average Loss  0.601647, Time  0.235668
2021-09-15 23:16:41.083409 : Epoch  1, Batch    135, Loss  1.335019, Average Loss  1.607562, Time  0.239718
2021-09-15 23:16:41.646432 : Epoch  8, Batch     15, Loss  0.588868, Average Loss  0.601618, Time  0.236204
2021-09-15 23:16:43.195655 : Epoch  8, Batch     16, Loss  0.600720, Average Loss  0.601698, Time  0.235942
2021-09-15 23:16:43.693241 : Epoch  1, Batch    136, Loss  1.327167, Average Loss  1.605500, Time  0.240101
2021-09-15 23:16:44.727917 : Epoch  8, Batch     17, Loss  0.606845, Average Loss  0.601748, Time  0.235993
2021-09-15 23:16:46.268434 : Epoch  8, Batch     18, Loss  0.600283, Average Loss  0.601727, Time  0.236050
2021-09-15 23:16:46.322651 : Epoch  1, Batch    137, Loss  1.331678, Average Loss  1.603501, Time  0.239913
2021-09-15 23:16:47.814652 : Epoch  8, Batch     19, Loss  0.592681, Average Loss  0.601616, Time  0.236124
2021-09-15 23:16:48.942126 : Epoch  1, Batch    138, Loss  1.326550, Average Loss  1.601494, Time  0.240152
2021-09-15 23:16:49.355028 : Epoch  8, Batch     20, Loss  0.589681, Average Loss  0.601564, Time  0.235911
2021-09-15 23:16:50.893599 : Epoch  8, Batch     21, Loss  0.607297, Average Loss  0.601604, Time  0.236329
2021-09-15 23:16:51.556098 : Epoch  1, Batch    139, Loss  1.293822, Average Loss  1.599281, Time  0.241101
2021-09-15 23:16:52.437244 : Epoch  8, Batch     22, Loss  0.605097, Average Loss  0.601602, Time  0.236277
2021-09-15 23:16:53.973238 : Epoch  8, Batch     23, Loss  0.596415, Average Loss  0.601543, Time  0.237140
2021-09-15 23:16:54.155894 : Epoch  1, Batch    140, Loss  1.320757, Average Loss  1.597291, Time  0.240977
2021-09-15 23:16:55.505407 : Epoch  8, Batch     24, Loss  0.602127, Average Loss  0.601575, Time  0.235546
2021-09-15 23:16:56.743583 : Epoch  1, Batch    141, Loss  1.321205, Average Loss  1.595333, Time  0.240116
2021-09-15 23:16:57.038832 : Epoch  8, Batch     25, Loss  0.603368, Average Loss  0.601575, Time  0.236095
2021-09-15 23:16:58.575982 : Epoch  8, Batch     26, Loss  0.607014, Average Loss  0.601626, Time  0.236124
2021-09-15 23:16:59.339001 : Epoch  1, Batch    142, Loss  1.302951, Average Loss  1.593274, Time  0.241425
2021-09-15 23:17:00.106989 : Epoch  8, Batch     27, Loss  0.604027, Average Loss  0.601678, Time  0.236118
2021-09-15 23:17:01.644963 : Epoch  8, Batch     28, Loss  0.600446, Average Loss  0.601644, Time  0.237367
2021-09-15 23:17:01.934284 : Epoch  1, Batch    143, Loss  1.286226, Average Loss  1.591127, Time  0.241010
2021-09-15 23:17:03.182412 : Epoch  8, Batch     29, Loss  0.589902, Average Loss  0.601613, Time  0.236438
2021-09-15 23:17:04.539993 : Epoch  1, Batch    144, Loss  1.292528, Average Loss  1.589053, Time  0.242286
2021-09-15 23:17:04.723887 : Epoch  8, Batch     30, Loss  0.593179, Average Loss  0.601543, Time  0.235882
2021-09-15 23:17:06.259301 : Epoch  8, Batch     31, Loss  0.595422, Average Loss  0.601497, Time  0.237993
2021-09-15 23:17:07.141619 : Epoch  1, Batch    145, Loss  1.275498, Average Loss  1.586891, Time  0.240093
2021-09-15 23:17:07.802415 : Epoch  8, Batch     32, Loss  0.601527, Average Loss  0.601497, Time  0.236402
2021-09-15 23:17:09.337641 : Epoch  8, Batch     33, Loss  0.595492, Average Loss  0.601490, Time  0.236716
2021-09-15 23:17:09.769021 : Epoch  1, Batch    146, Loss  1.275892, Average Loss  1.584761, Time  0.241141
2021-09-15 23:17:10.877819 : Epoch  8, Batch     34, Loss  0.599337, Average Loss  0.601445, Time  0.237403
2021-09-15 23:17:12.380093 : Epoch  1, Batch    147, Loss  1.266241, Average Loss  1.582594, Time  0.240484
2021-09-15 23:17:12.419884 : Epoch  8, Batch     35, Loss  0.608008, Average Loss  0.601418, Time  0.236250
2021-09-15 23:17:13.959734 : Epoch  8, Batch     36, Loss  0.609183, Average Loss  0.601421, Time  0.235667
2021-09-15 23:17:15.019049 : Epoch  1, Batch    148, Loss  1.267191, Average Loss  1.580463, Time  0.239840
2021-09-15 23:17:15.490472 : Epoch  8, Batch     37, Loss  0.591444, Average Loss  0.601361, Time  0.236163
2021-09-15 23:17:17.029280 : Epoch  8, Batch     38, Loss  0.595177, Average Loss  0.601385, Time  0.235954
2021-09-15 23:17:17.612987 : Epoch  1, Batch    149, Loss  1.251160, Average Loss  1.578253, Time  0.239988
2021-09-15 23:17:18.571056 : Epoch  8, Batch     39, Loss  0.600168, Average Loss  0.601336, Time  0.237065
2021-09-15 23:17:20.143046 : Epoch  8, Batch     40, Loss  0.602598, Average Loss  0.601304, Time  0.235721
2021-09-15 23:17:20.232284 : Epoch  1, Batch    150, Loss  1.258061, Average Loss  1.576118, Time  0.240820
2021-09-15 23:17:21.679399 : Epoch  8, Batch     41, Loss  0.596348, Average Loss  0.601240, Time  0.235709
2021-09-15 23:17:22.865818 : Epoch  1, Batch    151, Loss  1.244667, Average Loss  1.573923, Time  0.240251
2021-09-15 23:17:23.218517 : Epoch  8, Batch     42, Loss  0.609854, Average Loss  0.601242, Time  0.235918
2021-09-15 23:17:24.751567 : Epoch  8, Batch     43, Loss  0.612361, Average Loss  0.601311, Time  0.237001
2021-09-15 23:17:25.482099 : Epoch  1, Batch    152, Loss  1.228503, Average Loss  1.571651, Time  0.239734
2021-09-15 23:17:26.288475 : Epoch  8, Batch     44, Loss  0.605650, Average Loss  0.601273, Time  0.235888
2021-09-15 23:17:27.842318 : Epoch  8, Batch     45, Loss  0.607774, Average Loss  0.601286, Time  0.238131
2021-09-15 23:17:28.081078 : Epoch  1, Batch    153, Loss  1.215661, Average Loss  1.569324, Time  0.241349
2021-09-15 23:17:29.377343 : Epoch  8, Batch     46, Loss  0.595091, Average Loss  0.601292, Time  0.235948
2021-09-15 23:17:30.658935 : Epoch  1, Batch    154, Loss  1.216426, Average Loss  1.567032, Time  0.240213
2021-09-15 23:17:30.922029 : Epoch  8, Batch     47, Loss  0.598781, Average Loss  0.601293, Time  0.235980
2021-09-15 23:17:32.471056 : Epoch  8, Batch     48, Loss  0.590972, Average Loss  0.601204, Time  0.235739
2021-09-15 23:17:33.245621 : Epoch  1, Batch    155, Loss  1.219681, Average Loss  1.564791, Time  0.241100
2021-09-15 23:17:34.010584 : Epoch  8, Batch     49, Loss  0.606320, Average Loss  0.601237, Time  0.236226
2021-09-15 23:17:35.548407 : Epoch  8, Batch     50, Loss  0.607596, Average Loss  0.601181, Time  0.236529
2021-09-15 23:17:35.839585 : Epoch  1, Batch    156, Loss  1.198548, Average Loss  1.562444, Time  0.239858
2021-09-15 23:17:37.093358 : Epoch  8, Batch     51, Loss  0.608468, Average Loss  0.601214, Time  0.237623
2021-09-15 23:17:38.432267 : Epoch  1, Batch    157, Loss  1.196150, Average Loss  1.560111, Time  0.240200
2021-09-15 23:17:38.630898 : Epoch  8, Batch     52, Loss  0.595985, Average Loss  0.601217, Time  0.236050
2021-09-15 23:17:40.179597 : Epoch  8, Batch     53, Loss  0.603191, Average Loss  0.601245, Time  0.237088
2021-09-15 23:17:41.032383 : Epoch  1, Batch    158, Loss  1.188678, Average Loss  1.557760, Time  0.239936
2021-09-15 23:17:41.720838 : Epoch  8, Batch     54, Loss  0.598172, Average Loss  0.601231, Time  0.237053
2021-09-15 23:17:43.260871 : Epoch  8, Batch     55, Loss  0.596365, Average Loss  0.601192, Time  0.241549
2021-09-15 23:17:43.627471 : Epoch  1, Batch    159, Loss  1.187137, Average Loss  1.555429, Time  0.239774
2021-09-15 23:17:44.798468 : Epoch  8, Batch     56, Loss  0.599822, Average Loss  0.601212, Time  0.236327
2021-09-15 23:17:46.219087 : Epoch  1, Batch    160, Loss  1.186623, Average Loss  1.553124, Time  0.241142
2021-09-15 23:17:46.345109 : Epoch  8, Batch     57, Loss  0.607765, Average Loss  0.601247, Time  0.235900
2021-09-15 23:17:47.872121 : Epoch  8, Batch     58, Loss  0.608425, Average Loss  0.601297, Time  0.236172
2021-09-15 23:17:48.815535 : Epoch  1, Batch    161, Loss  1.184253, Average Loss  1.550833, Time  0.240345
2021-09-15 23:17:49.529143 : Epoch  8, Batch     59, Loss  0.588672, Average Loss  0.601278, Time  0.238153
2021-09-15 23:17:51.069051 : Epoch  8, Batch     60, Loss  0.595006, Average Loss  0.601217, Time  0.236181
2021-09-15 23:17:51.604915 : Epoch  1, Batch    162, Loss  1.156039, Average Loss  1.548396, Time  0.240204
2021-09-15 23:17:52.606604 : Epoch  8, Batch     61, Loss  0.614876, Average Loss  0.601332, Time  0.236905
2021-09-15 23:17:54.142251 : Epoch  8, Batch     62, Loss  0.619558, Average Loss  0.601453, Time  0.236270
2021-09-15 23:17:54.216903 : Epoch  1, Batch    163, Loss  1.147721, Average Loss  1.545938, Time  0.240445
2021-09-15 23:17:55.677571 : Epoch  8, Batch     63, Loss  0.601335, Average Loss  0.601464, Time  0.236247
2021-09-15 23:17:56.842550 : Epoch  1, Batch    164, Loss  1.136194, Average Loss  1.543439, Time  0.241278
2021-09-15 23:17:57.210126 : Epoch  8, Batch     64, Loss  0.608017, Average Loss  0.601584, Time  0.236122
2021-09-15 23:17:58.738608 : Epoch  8, Batch     65, Loss  0.593887, Average Loss  0.601518, Time  0.235796
2021-09-15 23:17:59.475077 : Epoch  1, Batch    165, Loss  1.125739, Average Loss  1.540908, Time  0.240181
2021-09-15 23:18:00.283430 : Epoch  8, Batch     66, Loss  0.603292, Average Loss  0.601514, Time  0.235371
2021-09-15 23:18:01.815036 : Epoch  8, Batch     67, Loss  0.598895, Average Loss  0.601777, Time  0.236489
2021-09-15 23:18:01.953221 : Epoch  8, Batch     68, Loss  0.539995, Average Loss  0.601490, Time  0.092294
2021-09-15 23:18:02.099496 : Epoch  1, Batch    166, Loss  1.131410, Average Loss  1.538441, Time  0.240634
2021-09-15 23:18:03.487424 : Epoch  8, Batch     69, Loss  0.603058, Average Loss  0.601645, Time  0.236168
2021-09-15 23:18:04.712248 : Epoch  1, Batch    167, Loss  1.128121, Average Loss  1.535984, Time  0.241341
2021-09-15 23:18:05.027056 : Epoch  8, Batch     70, Loss  0.611032, Average Loss  0.601665, Time  0.236327
2021-09-15 23:18:05.446538 : CheckPoint: Validation Loss  0.00030160, Best Loss  0.00029429
2021-09-15 23:18:06.569418 : Epoch  8, Batch     71, Loss  0.611837, Average Loss  0.601761, Time  0.236540
2021-09-15 23:18:07.305533 : Epoch  1, Batch    168, Loss  1.131304, Average Loss  1.533575, Time  0.240020
2021-09-15 23:18:08.116409 : Epoch  8, Batch     72, Loss  0.604595, Average Loss  0.601810, Time  0.235449
2021-09-15 23:18:08.444073 : Epoch  3, Batch   1189, Loss  0.879357, Average Loss  0.869807, Time  0.267862
2021-09-15 23:18:09.655445 : Epoch  8, Batch     73, Loss  0.602715, Average Loss  0.601813, Time  0.235703
2021-09-15 23:18:09.908798 : Epoch  1, Batch    169, Loss  1.128858, Average Loss  1.531180, Time  0.241754
2021-09-15 23:18:11.190247 : Epoch  8, Batch     74, Loss  0.603202, Average Loss  0.601773, Time  0.236016
2021-09-15 23:18:11.474527 : Epoch  3, Batch   1190, Loss  0.865848, Average Loss  0.869854, Time  0.266436
2021-09-15 23:18:12.494712 : Epoch  1, Batch    170, Loss  1.116668, Average Loss  1.528742, Time  0.240433
2021-09-15 23:18:12.734951 : Epoch  8, Batch     75, Loss  0.612876, Average Loss  0.601805, Time  0.235989
2021-09-15 23:18:14.271981 : Epoch  8, Batch     76, Loss  0.601986, Average Loss  0.601804, Time  0.237765
2021-09-15 23:18:14.489500 : Epoch  3, Batch   1191, Loss  0.852938, Average Loss  0.869784, Time  0.266753
2021-09-15 23:18:15.082262 : Epoch  1, Batch    171, Loss  1.097527, Average Loss  1.526220, Time  0.240304
2021-09-15 23:18:15.816978 : Epoch  8, Batch     77, Loss  0.613124, Average Loss  0.601852, Time  0.236700
2021-09-15 23:18:17.362423 : Epoch  8, Batch     78, Loss  0.608025, Average Loss  0.601895, Time  0.236203
2021-09-15 23:18:17.530864 : Epoch  3, Batch   1192, Loss  0.898536, Average Loss  0.869996, Time  0.266324
2021-09-15 23:18:17.679265 : Epoch  1, Batch    172, Loss  1.121064, Average Loss  1.523865, Time  0.239961
2021-09-15 23:18:18.911402 : Epoch  8, Batch     79, Loss  0.609051, Average Loss  0.601908, Time  0.236714
2021-09-15 23:18:20.265840 : Epoch  1, Batch    173, Loss  1.104689, Average Loss  1.521442, Time  0.242709
2021-09-15 23:18:20.459396 : Epoch  8, Batch     80, Loss  0.607723, Average Loss  0.601895, Time  0.235993
2021-09-15 23:18:20.548348 : Epoch  3, Batch   1193, Loss  0.868482, Average Loss  0.869967, Time  0.265858
2021-09-15 23:18:21.994419 : Epoch  8, Batch     81, Loss  0.600877, Average Loss  0.601871, Time  0.235565
2021-09-15 23:18:22.861778 : Epoch  1, Batch    174, Loss  1.094791, Average Loss  1.518990, Time  0.240725
2021-09-15 23:18:23.544072 : Epoch  8, Batch     82, Loss  0.608860, Average Loss  0.601934, Time  0.236272
2021-09-15 23:18:23.562072 : Epoch  3, Batch   1194, Loss  0.873598, Average Loss  0.870046, Time  0.265685
2021-09-15 23:18:25.084017 : Epoch  8, Batch     83, Loss  0.623758, Average Loss  0.601994, Time  0.237231
2021-09-15 23:18:25.450986 : Epoch  1, Batch    175, Loss  1.105398, Average Loss  1.516626, Time  0.240119
2021-09-15 23:18:26.577508 : Epoch  3, Batch   1195, Loss  0.860587, Average Loss  0.869985, Time  0.265405
2021-09-15 23:18:26.618208 : Epoch  8, Batch     84, Loss  0.606310, Average Loss  0.602035, Time  0.235824
2021-09-15 23:18:28.023936 : Epoch  1, Batch    176, Loss  1.112748, Average Loss  1.514331, Time  0.240278
2021-09-15 23:18:28.162257 : Epoch  8, Batch     85, Loss  0.599723, Average Loss  0.602087, Time  0.236053
2021-09-15 23:18:29.604715 : Epoch  3, Batch   1196, Loss  0.874697, Average Loss  0.870038, Time  0.272166
2021-09-15 23:18:29.689949 : Epoch  8, Batch     86, Loss  0.599983, Average Loss  0.602086, Time  0.235873
2021-09-15 23:18:30.640092 : Epoch  1, Batch    177, Loss  1.108157, Average Loss  1.512037, Time  0.240245
2021-09-15 23:18:31.220226 : Epoch  8, Batch     87, Loss  0.605999, Average Loss  0.602120, Time  0.238193
2021-09-15 23:18:32.606508 : Epoch  3, Batch   1197, Loss  0.864069, Average Loss  0.869908, Time  0.265199
2021-09-15 23:18:32.759190 : Epoch  8, Batch     88, Loss  0.598257, Average Loss  0.602127, Time  0.236048
2021-09-15 23:18:33.223615 : Epoch  1, Batch    178, Loss  1.076120, Average Loss  1.509588, Time  0.239848
2021-09-15 23:18:34.291906 : Epoch  8, Batch     89, Loss  0.596139, Average Loss  0.602116, Time  0.237026
2021-09-15 23:18:35.593763 : Epoch  3, Batch   1198, Loss  0.872647, Average Loss  0.869942, Time  0.265233
2021-09-15 23:18:35.824370 : Epoch  1, Batch    179, Loss  1.087608, Average Loss  1.507230, Time  0.241530
2021-09-15 23:18:35.849430 : Epoch  8, Batch     90, Loss  0.609834, Average Loss  0.602156, Time  0.236003
2021-09-15 23:18:37.398037 : Epoch  8, Batch     91, Loss  0.604912, Average Loss  0.602108, Time  0.236067
2021-09-15 23:18:38.425048 : Epoch  1, Batch    180, Loss  1.074034, Average Loss  1.504824, Time  0.242491
2021-09-15 23:18:38.637095 : Epoch  3, Batch   1199, Loss  0.874930, Average Loss  0.870077, Time  0.266133
2021-09-15 23:18:41.003002 : Epoch  1, Batch    181, Loss  1.088443, Average Loss  1.502523, Time  0.241442
2021-09-15 23:18:41.630536 : Epoch  3, Batch   1200, Loss  0.861842, Average Loss  0.870062, Time  0.265230
2021-09-15 23:18:43.612880 : Epoch  1, Batch    182, Loss  1.071838, Average Loss  1.500157, Time  0.243017
2021-09-15 23:18:44.645491 : Epoch  3, Batch   1201, Loss  0.856612, Average Loss  0.870063, Time  0.267044
2021-09-15 23:18:46.204923 : Epoch  1, Batch    183, Loss  1.059884, Average Loss  1.497751, Time  0.241041
2021-09-15 23:18:47.649502 : Epoch  3, Batch   1202, Loss  0.882587, Average Loss  0.870117, Time  0.265086
2021-09-15 23:18:48.807158 : Epoch  1, Batch    184, Loss  1.083809, Average Loss  1.495501, Time  0.240593
2021-09-15 23:18:50.647025 : Epoch  3, Batch   1203, Loss  0.869308, Average Loss  0.870040, Time  0.264731
2021-09-15 23:18:51.407916 : Epoch  1, Batch    185, Loss  1.079363, Average Loss  1.493252, Time  0.241485
2021-09-15 23:18:53.650059 : Epoch  3, Batch   1204, Loss  0.853940, Average Loss  0.869966, Time  0.266568
2021-09-15 23:18:54.007225 : Epoch  1, Batch    186, Loss  1.075171, Average Loss  1.491004, Time  0.240042
2021-09-15 23:18:56.598022 : Epoch  1, Batch    187, Loss  1.073089, Average Loss  1.488769, Time  0.241346
2021-09-15 23:18:56.663214 : Epoch  3, Batch   1205, Loss  0.858537, Average Loss  0.869742, Time  0.265482
2021-09-15 23:18:59.193847 : Epoch  1, Batch    188, Loss  1.086530, Average Loss  1.486630, Time  0.241893
2021-09-15 23:18:59.673342 : Epoch  3, Batch   1206, Loss  0.860353, Average Loss  0.869755, Time  0.266705
2021-09-15 23:19:01.816506 : Epoch  1, Batch    189, Loss  1.082097, Average Loss  1.484489, Time  0.243079
2021-09-15 23:19:02.688574 : Epoch  3, Batch   1207, Loss  0.868171, Average Loss  0.869704, Time  0.265397
2021-09-15 23:19:04.442229 : Epoch  1, Batch    190, Loss  1.082273, Average Loss  1.482372, Time  0.242742
2021-09-15 23:19:05.690393 : Epoch  3, Batch   1208, Loss  0.881063, Average Loss  0.869778, Time  0.266332
2021-09-15 23:19:07.057465 : Epoch  1, Batch    191, Loss  1.083333, Average Loss  1.480283, Time  0.239986
2021-09-15 23:19:08.684506 : Epoch  3, Batch   1209, Loss  0.891348, Average Loss  0.869886, Time  0.266953
2021-09-15 23:19:09.687100 : Epoch  1, Batch    192, Loss  1.073450, Average Loss  1.478164, Time  0.240042
2021-09-15 23:19:11.678456 : Epoch  3, Batch   1210, Loss  0.873709, Average Loss  0.869926, Time  0.266651
2021-09-15 23:19:12.344418 : Epoch  1, Batch    193, Loss  1.047177, Average Loss  1.475931, Time  0.240258
2021-09-15 23:19:14.726551 : Epoch  3, Batch   1211, Loss  0.859842, Average Loss  0.869944, Time  0.272092
2021-09-15 23:19:14.993829 : Epoch  1, Batch    194, Loss  1.102246, Average Loss  1.474005, Time  0.240118
2021-09-15 23:19:17.607851 : Epoch  1, Batch    195, Loss  1.044983, Average Loss  1.471805, Time  0.243433
2021-09-15 23:19:17.755378 : Epoch  3, Batch   1212, Loss  0.867075, Average Loss  0.869873, Time  0.266473
2021-09-15 23:19:20.210417 : Epoch  1, Batch    196, Loss  1.062960, Average Loss  1.469719, Time  0.239575
2021-09-15 23:19:20.755072 : Epoch  3, Batch   1213, Loss  0.883127, Average Loss  0.870018, Time  0.266886
2021-09-15 23:19:22.815020 : Epoch  1, Batch    197, Loss  1.059073, Average Loss  1.467634, Time  0.240209
2021-09-15 23:19:23.740026 : Epoch  3, Batch   1214, Loss  0.887845, Average Loss  0.870040, Time  0.266296
2021-09-15 23:19:25.405990 : Epoch  1, Batch    198, Loss  1.047099, Average Loss  1.465510, Time  0.241115
2021-09-15 23:19:26.725290 : Epoch  3, Batch   1215, Loss  0.856383, Average Loss  0.869961, Time  0.265933
2021-09-15 23:19:27.992386 : Epoch  1, Batch    199, Loss  1.026742, Average Loss  1.463306, Time  0.239892
2021-09-15 23:19:29.734220 : Epoch  3, Batch   1216, Loss  0.868694, Average Loss  0.869928, Time  0.266156
2021-09-15 23:19:30.575409 : Epoch  1, Batch    200, Loss  1.037918, Average Loss  1.461179, Time  0.240447
2021-09-15 23:19:32.769131 : Epoch  3, Batch   1217, Loss  0.843019, Average Loss  0.869807, Time  0.265337
2021-09-15 23:19:34.702744 : CheckPoint: Validation Loss  0.00025210, Best Loss  0.00024241
2021-09-15 23:19:35.786095 : Epoch  3, Batch   1218, Loss  0.865352, Average Loss  0.869847, Time  0.265407
2021-09-15 23:19:36.230029 : Epoch  8, Batch     92, Loss  0.601438, Average Loss  0.602147, Time  0.243058
2021-09-15 23:19:37.746416 : Epoch  8, Batch     93, Loss  0.606123, Average Loss  0.602195, Time  0.236024
2021-09-15 23:19:38.779073 : Epoch  3, Batch   1219, Loss  0.868633, Average Loss  0.869879, Time  0.266056
2021-09-15 23:19:39.275026 : Epoch  8, Batch     94, Loss  0.596262, Average Loss  0.602168, Time  0.235769
2021-09-15 23:19:40.805221 : Epoch  8, Batch     95, Loss  0.593745, Average Loss  0.602144, Time  0.236064
2021-09-15 23:19:41.808205 : Epoch  3, Batch   1220, Loss  0.881283, Average Loss  0.869946, Time  0.265608
2021-09-15 23:19:42.331425 : Epoch  8, Batch     96, Loss  0.599945, Average Loss  0.602074, Time  0.235945
2021-09-15 23:19:43.866795 : Epoch  8, Batch     97, Loss  0.597147, Average Loss  0.602080, Time  0.236956
2021-09-15 23:19:44.806795 : Epoch  3, Batch   1221, Loss  0.872414, Average Loss  0.870047, Time  0.265503
2021-09-15 23:19:45.397930 : Epoch  8, Batch     98, Loss  0.599358, Average Loss  0.602063, Time  0.236823
2021-09-15 23:19:46.936601 : Epoch  8, Batch     99, Loss  0.609531, Average Loss  0.602117, Time  0.236220
2021-09-15 23:19:47.813837 : Epoch  3, Batch   1222, Loss  0.877071, Average Loss  0.870063, Time  0.265678
2021-09-15 23:19:48.469095 : Epoch  8, Batch    100, Loss  0.618963, Average Loss  0.602209, Time  0.236052
2021-09-15 23:19:49.999254 : Epoch  8, Batch    101, Loss  0.605228, Average Loss  0.602237, Time  0.236400
2021-09-15 23:19:50.825000 : Epoch  3, Batch   1223, Loss  0.880436, Average Loss  0.870099, Time  0.266330
2021-09-15 23:19:51.532081 : Epoch  8, Batch    102, Loss  0.590013, Average Loss  0.602176, Time  0.235868
2021-09-15 23:19:53.066538 : Epoch  8, Batch    103, Loss  0.603182, Average Loss  0.602132, Time  0.236873
2021-09-15 23:19:53.847420 : Epoch  3, Batch   1224, Loss  0.860323, Average Loss  0.869983, Time  0.264978
2021-09-15 23:19:54.610493 : Epoch  8, Batch    104, Loss  0.615156, Average Loss  0.602211, Time  0.235905
2021-09-15 23:19:56.143407 : Epoch  8, Batch    105, Loss  0.597935, Average Loss  0.602190, Time  0.236038
2021-09-15 23:19:56.844329 : Epoch  3, Batch   1225, Loss  0.830454, Average Loss  0.869748, Time  0.265351
2021-09-15 23:19:57.678760 : Epoch  8, Batch    106, Loss  0.604093, Average Loss  0.602213, Time  0.238231
2021-09-15 23:19:59.226512 : Epoch  8, Batch    107, Loss  0.600360, Average Loss  0.602227, Time  0.237055
2021-09-15 23:19:59.843410 : Epoch  3, Batch   1226, Loss  0.876109, Average Loss  0.869854, Time  0.272594
2021-09-15 23:20:00.761202 : Epoch  8, Batch    108, Loss  0.592928, Average Loss  0.602188, Time  0.235747
2021-09-15 23:20:02.296168 : Epoch  8, Batch    109, Loss  0.597254, Average Loss  0.602193, Time  0.236323
2021-09-15 23:20:02.822319 : Epoch  3, Batch   1227, Loss  0.866204, Average Loss  0.869781, Time  0.265362
2021-09-15 23:20:03.836387 : Epoch  8, Batch    110, Loss  0.599760, Average Loss  0.602159, Time  0.237024
2021-09-15 23:20:05.372484 : Epoch  8, Batch    111, Loss  0.596830, Average Loss  0.602181, Time  0.237022
2021-09-15 23:20:05.839823 : Epoch  3, Batch   1228, Loss  0.852677, Average Loss  0.869680, Time  0.267808
2021-09-15 23:20:06.907897 : Epoch  8, Batch    112, Loss  0.612111, Average Loss  0.602231, Time  0.238205
2021-09-15 23:20:08.438417 : Epoch  8, Batch    113, Loss  0.594903, Average Loss  0.602180, Time  0.235733
2021-09-15 23:20:08.853250 : Epoch  3, Batch   1229, Loss  0.870372, Average Loss  0.869725, Time  0.266993
2021-09-15 23:20:09.973856 : Epoch  8, Batch    114, Loss  0.611714, Average Loss  0.602295, Time  0.239087
2021-09-15 23:20:11.519859 : Epoch  8, Batch    115, Loss  0.603360, Average Loss  0.602344, Time  0.236835
2021-09-15 23:20:11.851163 : Epoch  3, Batch   1230, Loss  0.865547, Average Loss  0.869739, Time  0.266215
2021-09-15 23:20:13.048437 : Epoch  8, Batch    116, Loss  0.595186, Average Loss  0.602377, Time  0.235526
2021-09-15 23:20:14.578976 : Epoch  8, Batch    117, Loss  0.593930, Average Loss  0.602354, Time  0.236356
2021-09-15 23:20:14.861599 : Epoch  3, Batch   1231, Loss  0.890946, Average Loss  0.869936, Time  0.266959
2021-09-15 23:20:16.115408 : Epoch  8, Batch    118, Loss  0.601957, Average Loss  0.602315, Time  0.237221
2021-09-15 23:20:17.655009 : Epoch  8, Batch    119, Loss  0.603168, Average Loss  0.602305, Time  0.236547
2021-09-15 23:20:17.850157 : Epoch  3, Batch   1232, Loss  0.882526, Average Loss  0.870026, Time  0.265366
2021-09-15 23:20:19.193961 : Epoch  8, Batch    120, Loss  0.582178, Average Loss  0.602221, Time  0.237931
2021-09-15 23:20:20.746145 : Epoch  8, Batch    121, Loss  0.591560, Average Loss  0.602199, Time  0.236141
2021-09-15 23:20:20.845480 : Epoch  3, Batch   1233, Loss  0.879627, Average Loss  0.870031, Time  0.267243
2021-09-15 23:20:22.288067 : Epoch  8, Batch    122, Loss  0.608595, Average Loss  0.602229, Time  0.236758
2021-09-15 23:20:23.824147 : Epoch  8, Batch    123, Loss  0.595926, Average Loss  0.602164, Time  0.236651
2021-09-15 23:20:23.853052 : Epoch  3, Batch   1234, Loss  0.882135, Average Loss  0.870134, Time  0.268474
2021-09-15 23:20:25.354913 : Epoch  8, Batch    124, Loss  0.603745, Average Loss  0.602149, Time  0.235990
2021-09-15 23:20:26.853728 : Epoch  3, Batch   1235, Loss  0.886712, Average Loss  0.870296, Time  0.266369
2021-09-15 23:20:26.888815 : Epoch  8, Batch    125, Loss  0.595513, Average Loss  0.602035, Time  0.235786
2021-09-15 23:20:28.440566 : Epoch  8, Batch    126, Loss  0.601687, Average Loss  0.602056, Time  0.236526
2021-09-15 23:20:29.849331 : Epoch  3, Batch   1236, Loss  0.870244, Average Loss  0.870251, Time  0.264958
2021-09-15 23:20:29.969396 : Epoch  8, Batch    127, Loss  0.607081, Average Loss  0.602116, Time  0.236881
2021-09-15 23:20:31.500054 : Epoch  8, Batch    128, Loss  0.600706, Average Loss  0.602046, Time  0.236706
2021-09-15 23:20:32.834649 : Epoch  3, Batch   1237, Loss  0.856668, Average Loss  0.870223, Time  0.265599
2021-09-15 23:20:33.028278 : Epoch  8, Batch    129, Loss  0.611998, Average Loss  0.602113, Time  0.236397
2021-09-15 23:20:34.558281 : Epoch  8, Batch    130, Loss  0.596580, Average Loss  0.602086, Time  0.236495
2021-09-15 23:20:35.846797 : Epoch  3, Batch   1238, Loss  0.865193, Average Loss  0.870153, Time  0.265211
2021-09-15 23:20:36.096421 : Epoch  8, Batch    131, Loss  0.602389, Average Loss  0.602119, Time  0.236221
2021-09-15 23:20:37.621908 : Epoch  8, Batch    132, Loss  0.616078, Average Loss  0.602239, Time  0.236220
2021-09-15 23:20:38.837166 : Epoch  3, Batch   1239, Loss  0.865921, Average Loss  0.870229, Time  0.265784
2021-09-15 23:20:39.161388 : Epoch  8, Batch    133, Loss  0.610963, Average Loss  0.602262, Time  0.235804
2021-09-15 23:20:40.684753 : Epoch  8, Batch    134, Loss  0.615567, Average Loss  0.602296, Time  0.236711
2021-09-15 23:20:41.864638 : Epoch  3, Batch   1240, Loss  0.896072, Average Loss  0.870422, Time  0.265675
2021-09-15 23:20:42.223433 : Epoch  8, Batch    135, Loss  0.612233, Average Loss  0.602302, Time  0.236343
2021-09-15 23:20:43.750024 : Epoch  8, Batch    136, Loss  0.615052, Average Loss  0.602390, Time  0.237671
2021-09-15 23:20:44.883019 : Epoch  3, Batch   1241, Loss  0.858656, Average Loss  0.870275, Time  0.278289
2021-09-15 23:20:45.282187 : Epoch  8, Batch    137, Loss  0.597202, Average Loss  0.602347, Time  0.236784
2021-09-15 23:20:46.799321 : Epoch  8, Batch    138, Loss  0.610746, Average Loss  0.602384, Time  0.237046
2021-09-15 23:20:47.875533 : Epoch  3, Batch   1242, Loss  0.873657, Average Loss  0.870358, Time  0.265821
2021-09-15 23:20:48.323207 : Epoch  8, Batch    139, Loss  0.616754, Average Loss  0.602463, Time  0.236036
2021-09-15 23:20:49.847011 : Epoch  8, Batch    140, Loss  0.597318, Average Loss  0.602408, Time  0.237137
2021-09-15 23:20:50.877988 : Epoch  3, Batch   1243, Loss  0.853706, Average Loss  0.870371, Time  0.265595
2021-09-15 23:20:51.377486 : Epoch  8, Batch    141, Loss  0.609946, Average Loss  0.602446, Time  0.236840
2021-09-15 23:20:52.897999 : Epoch  8, Batch    142, Loss  0.593342, Average Loss  0.602392, Time  0.236214
2021-09-15 23:20:53.868347 : Epoch  3, Batch   1244, Loss  0.869037, Average Loss  0.870394, Time  0.264963
2021-09-15 23:20:54.449190 : Epoch  8, Batch    143, Loss  0.598345, Average Loss  0.602386, Time  0.237136
2021-09-15 23:20:55.992920 : Epoch  8, Batch    144, Loss  0.604259, Average Loss  0.602439, Time  0.236352
2021-09-15 23:20:56.867750 : Epoch  3, Batch   1245, Loss  0.858857, Average Loss  0.870346, Time  0.266880
2021-09-15 23:20:57.525975 : Epoch  8, Batch    145, Loss  0.609040, Average Loss  0.602505, Time  0.237177
2021-09-15 23:20:59.066869 : Epoch  8, Batch    146, Loss  0.597409, Average Loss  0.602511, Time  0.236006
2021-09-15 23:20:59.871858 : Epoch  3, Batch   1246, Loss  0.863353, Average Loss  0.870256, Time  0.266031
2021-09-15 23:21:00.607661 : Epoch  8, Batch    147, Loss  0.598707, Average Loss  0.602468, Time  0.236110
2021-09-15 23:21:02.145425 : Epoch  8, Batch    148, Loss  0.612977, Average Loss  0.602474, Time  0.236938
2021-09-15 23:21:02.905899 : Epoch  3, Batch   1247, Loss  0.863243, Average Loss  0.870185, Time  0.265816
2021-09-15 23:21:03.674582 : Epoch  8, Batch    149, Loss  0.596727, Average Loss  0.602467, Time  0.237371
2021-09-15 23:21:05.215090 : Epoch  8, Batch    150, Loss  0.600661, Average Loss  0.602443, Time  0.237555
2021-09-15 23:21:05.914516 : Epoch  3, Batch   1248, Loss  0.860545, Average Loss  0.870184, Time  0.265949
2021-09-15 23:21:06.745337 : Epoch  8, Batch    151, Loss  0.596893, Average Loss  0.602428, Time  0.236214
2021-09-15 23:21:08.277606 : Epoch  8, Batch    152, Loss  0.603484, Average Loss  0.602354, Time  0.236851
2021-09-15 23:21:08.952311 : Epoch  3, Batch   1249, Loss  0.858551, Average Loss  0.870162, Time  0.267087
2021-09-15 23:21:09.807121 : Epoch  8, Batch    153, Loss  0.602711, Average Loss  0.602388, Time  0.236223
2021-09-15 23:21:11.343879 : Epoch  8, Batch    154, Loss  0.605188, Average Loss  0.602376, Time  0.236255
2021-09-15 23:21:11.966353 : Epoch  3, Batch   1250, Loss  0.872068, Average Loss  0.870201, Time  0.265966
2021-09-15 23:21:12.878057 : Epoch  8, Batch    155, Loss  0.600926, Average Loss  0.602386, Time  0.236321
2021-09-15 23:21:14.409255 : Epoch  8, Batch    156, Loss  0.595892, Average Loss  0.602338, Time  0.237679
2021-09-15 23:21:14.985953 : Epoch  3, Batch   1251, Loss  0.867747, Average Loss  0.870213, Time  0.265725
2021-09-15 23:21:15.940442 : Epoch  8, Batch    157, Loss  0.595151, Average Loss  0.602287, Time  0.236424
2021-09-15 23:21:17.488311 : Epoch  8, Batch    158, Loss  0.610199, Average Loss  0.602289, Time  0.235854
2021-09-15 23:21:17.993318 : Epoch  3, Batch   1252, Loss  0.853898, Average Loss  0.870133, Time  0.265347
2021-09-15 23:21:19.029837 : Epoch  8, Batch    159, Loss  0.603420, Average Loss  0.602249, Time  0.235994
2021-09-15 23:21:20.557238 : Epoch  8, Batch    160, Loss  0.605285, Average Loss  0.602321, Time  0.236108
2021-09-15 23:21:21.014640 : Epoch  3, Batch   1253, Loss  0.878638, Average Loss  0.870079, Time  0.266630
2021-09-15 23:21:22.091422 : Epoch  8, Batch    161, Loss  0.595595, Average Loss  0.602338, Time  0.235841
2021-09-15 23:21:24.010879 : Epoch  3, Batch   1254, Loss  0.895534, Average Loss  0.870203, Time  0.265580
2021-09-15 23:21:25.969946 : Epoch  8, Batch    162, Loss  0.599591, Average Loss  0.602297, Time  0.267334
2021-09-15 23:21:27.005709 : Epoch  3, Batch   1255, Loss  0.871494, Average Loss  0.870160, Time  0.266368
2021-09-15 23:21:27.519103 : Epoch  8, Batch    163, Loss  0.609922, Average Loss  0.602425, Time  0.243375
2021-09-15 23:21:29.050451 : Epoch  8, Batch    164, Loss  0.598858, Average Loss  0.602413, Time  0.235946
2021-09-15 23:21:30.059366 : Epoch  3, Batch   1256, Loss  0.885985, Average Loss  0.870231, Time  0.275054
2021-09-15 23:21:30.586665 : Epoch  8, Batch    165, Loss  0.601419, Average Loss  0.602352, Time  0.236355
2021-09-15 23:21:32.127294 : Epoch  8, Batch    166, Loss  0.599011, Average Loss  0.602358, Time  0.236558
2021-09-15 23:21:33.097579 : Epoch  3, Batch   1257, Loss  0.857811, Average Loss  0.870117, Time  0.266692
2021-09-15 23:21:33.656449 : Epoch  8, Batch    167, Loss  0.599354, Average Loss  0.602294, Time  0.236603
2021-09-15 23:21:35.198114 : Epoch  8, Batch    168, Loss  0.601538, Average Loss  0.602271, Time  0.236134
2021-09-15 23:21:36.140362 : Epoch  3, Batch   1258, Loss  0.868105, Average Loss  0.870053, Time  0.265842
2021-09-15 23:21:36.738386 : Epoch  8, Batch    169, Loss  0.608599, Average Loss  0.602302, Time  0.236551
2021-09-15 23:21:38.281865 : Epoch  8, Batch    170, Loss  0.601649, Average Loss  0.602307, Time  0.236116
2021-09-15 23:21:39.184115 : Epoch  3, Batch   1259, Loss  0.850536, Average Loss  0.869897, Time  0.265092
2021-09-15 23:21:39.818265 : Epoch  8, Batch    171, Loss  0.590257, Average Loss  0.602276, Time  0.236398
2021-09-15 23:21:41.357634 : Epoch  8, Batch    172, Loss  0.597810, Average Loss  0.602303, Time  0.236021
2021-09-15 23:21:42.197343 : Epoch  3, Batch   1260, Loss  0.882394, Average Loss  0.870112, Time  0.265233
2021-09-15 23:21:42.885289 : Epoch  8, Batch    173, Loss  0.587155, Average Loss  0.602251, Time  0.235930
2021-09-15 23:21:44.410363 : Epoch  8, Batch    174, Loss  0.606531, Average Loss  0.602276, Time  0.236579
2021-09-15 23:21:45.223204 : Epoch  3, Batch   1261, Loss  0.873625, Average Loss  0.870228, Time  0.265943
2021-09-15 23:21:45.934107 : Epoch  8, Batch    175, Loss  0.612514, Average Loss  0.602322, Time  0.236997
2021-09-15 23:21:47.464776 : Epoch  8, Batch    176, Loss  0.597601, Average Loss  0.602351, Time  0.236023
2021-09-15 23:21:48.228794 : Epoch  3, Batch   1262, Loss  0.850368, Average Loss  0.870195, Time  0.266013
2021-09-15 23:21:48.990439 : Epoch  8, Batch    177, Loss  0.589053, Average Loss  0.602299, Time  0.235861
2021-09-15 23:21:50.523041 : Epoch  8, Batch    178, Loss  0.607831, Average Loss  0.602266, Time  0.235956
2021-09-15 23:21:51.274548 : Epoch  3, Batch   1263, Loss  0.881914, Average Loss  0.870318, Time  0.266252
2021-09-15 23:21:52.056663 : Epoch  8, Batch    179, Loss  0.600993, Average Loss  0.602286, Time  0.236094
2021-09-15 23:21:53.588028 : Epoch  8, Batch    180, Loss  0.591877, Average Loss  0.602233, Time  0.235892
2021-09-15 23:21:54.299775 : Epoch  3, Batch   1264, Loss  0.865479, Average Loss  0.870321, Time  0.265321
2021-09-15 23:21:55.117868 : Epoch  8, Batch    181, Loss  0.601203, Average Loss  0.602271, Time  0.236212
2021-09-15 23:21:56.670898 : Epoch  8, Batch    182, Loss  0.599843, Average Loss  0.602244, Time  0.236500
2021-09-15 23:21:57.294745 : Epoch  3, Batch   1265, Loss  0.859163, Average Loss  0.870317, Time  0.265045
2021-09-15 23:21:58.201431 : Epoch  8, Batch    183, Loss  0.610212, Average Loss  0.602240, Time  0.238444
2021-09-15 23:21:59.734987 : Epoch  8, Batch    184, Loss  0.594629, Average Loss  0.602157, Time  0.236025
2021-09-15 23:22:00.332809 : Epoch  3, Batch   1266, Loss  0.881025, Average Loss  0.870313, Time  0.265530
2021-09-15 23:22:01.282099 : Epoch  8, Batch    185, Loss  0.614770, Average Loss  0.602122, Time  0.236193
2021-09-15 23:22:02.821020 : Epoch  8, Batch    186, Loss  0.595082, Average Loss  0.602000, Time  0.236121
2021-09-15 23:22:03.341023 : Epoch  3, Batch   1267, Loss  0.876512, Average Loss  0.870300, Time  0.265828
2021-09-15 23:22:04.364715 : Epoch  8, Batch    187, Loss  0.608873, Average Loss  0.601975, Time  0.235817
2021-09-15 23:22:05.898002 : Epoch  8, Batch    188, Loss  0.593494, Average Loss  0.601877, Time  0.236020
2021-09-15 23:22:06.342757 : Epoch  3, Batch   1268, Loss  0.851882, Average Loss  0.870001, Time  0.266761
2021-09-15 23:22:07.429845 : Epoch  8, Batch    189, Loss  0.609063, Average Loss  0.601922, Time  0.239501
2021-09-15 23:22:08.966220 : Epoch  8, Batch    190, Loss  0.603078, Average Loss  0.601933, Time  0.236017
2021-09-15 23:22:09.342056 : Epoch  3, Batch   1269, Loss  0.853973, Average Loss  0.869927, Time  0.267210
2021-09-15 23:22:10.489318 : Epoch  8, Batch    191, Loss  0.586087, Average Loss  0.601868, Time  0.236369
2021-09-15 23:22:12.345222 : Epoch  3, Batch   1270, Loss  0.886573, Average Loss  0.869949, Time  0.265673
2021-09-15 23:22:15.342761 : Epoch  3, Batch   1271, Loss  0.884457, Average Loss  0.869975, Time  0.277991
2021-09-15 23:22:18.336233 : Epoch  3, Batch   1272, Loss  0.881922, Average Loss  0.870124, Time  0.265644
2021-09-15 23:22:21.338456 : Epoch  3, Batch   1273, Loss  0.871879, Average Loss  0.870169, Time  0.266047
2021-09-15 23:22:24.331758 : Epoch  3, Batch   1274, Loss  0.879680, Average Loss  0.870160, Time  0.265276
2021-09-15 23:22:27.320474 : Epoch  3, Batch   1275, Loss  0.864671, Average Loss  0.870099, Time  0.265660
2021-09-15 23:22:30.317813 : Epoch  3, Batch   1276, Loss  0.872770, Average Loss  0.870256, Time  0.266090
2021-09-15 23:22:33.335347 : Epoch  3, Batch   1277, Loss  0.870411, Average Loss  0.870273, Time  0.265551
2021-09-15 23:22:36.353835 : Epoch  3, Batch   1278, Loss  0.876239, Average Loss  0.870311, Time  0.264941
2021-09-15 23:22:39.367381 : Epoch  3, Batch   1279, Loss  0.865655, Average Loss  0.870254, Time  0.265312
2021-09-15 23:22:42.369367 : Epoch  3, Batch   1280, Loss  0.878762, Average Loss  0.870244, Time  0.265986
2021-09-15 23:22:45.369100 : Epoch  3, Batch   1281, Loss  0.864167, Average Loss  0.870249, Time  0.265922
2021-09-15 23:22:48.373139 : Epoch  3, Batch   1282, Loss  0.880480, Average Loss  0.870302, Time  0.265688
2021-09-15 23:22:51.363977 : Epoch  3, Batch   1283, Loss  0.853381, Average Loss  0.870230, Time  0.266374
2021-09-15 23:22:54.399513 : Epoch  3, Batch   1284, Loss  0.866323, Average Loss  0.870288, Time  0.265907
2021-09-15 23:22:57.420360 : Epoch  3, Batch   1285, Loss  0.865238, Average Loss  0.870184, Time  0.266484
2021-09-15 23:23:00.429255 : Epoch  3, Batch   1286, Loss  0.852901, Average Loss  0.870120, Time  0.277500
2021-09-15 23:23:03.420145 : Epoch  3, Batch   1287, Loss  0.877166, Average Loss  0.870171, Time  0.264943
2021-09-15 23:23:07.794753 : CheckPoint: Validation Loss  0.00025340, Best Loss  0.00024241
2021-09-15 23:23:09.358556 : Epoch  8, Batch    192, Loss  0.601294, Average Loss  0.601858, Time  0.270689
2021-09-15 23:23:10.901392 : Epoch  8, Batch    193, Loss  0.595083, Average Loss  0.601849, Time  0.251908
2021-09-15 23:23:12.436430 : Epoch  8, Batch    194, Loss  0.610186, Average Loss  0.601917, Time  0.236053
2021-09-15 23:23:13.987421 : Epoch  8, Batch    195, Loss  0.608402, Average Loss  0.601931, Time  0.235971
2021-09-15 23:23:14.366191 : Epoch  3, Batch   1288, Loss  0.874495, Average Loss  0.870086, Time  0.267943
2021-09-15 23:23:15.517511 : Epoch  8, Batch    196, Loss  0.609596, Average Loss  0.601977, Time  0.236130
2021-09-15 23:23:17.050999 : Epoch  8, Batch    197, Loss  0.602446, Average Loss  0.601979, Time  0.235898
2021-09-15 23:23:18.585111 : Epoch  8, Batch    198, Loss  0.610178, Average Loss  0.602008, Time  0.236588
2021-09-15 23:23:20.116009 : Epoch  8, Batch    199, Loss  0.600138, Average Loss  0.601952, Time  0.236294
2021-09-15 23:23:21.643421 : Epoch  8, Batch    200, Loss  0.594086, Average Loss  0.601922, Time  0.235734
2021-09-15 23:23:23.185717 : Epoch  8, Batch    201, Loss  0.606752, Average Loss  0.601891, Time  0.239233
2021-09-15 23:23:24.721354 : Epoch  8, Batch    202, Loss  0.604390, Average Loss  0.601911, Time  0.235789
2021-09-15 23:23:26.243276 : Epoch  8, Batch    203, Loss  0.614814, Average Loss  0.601981, Time  0.236344
2021-09-15 23:23:27.779881 : Epoch  8, Batch    204, Loss  0.596225, Average Loss  0.601946, Time  0.237515
2021-09-15 23:23:29.306024 : Epoch  8, Batch    205, Loss  0.606392, Average Loss  0.601982, Time  0.237204
2021-09-15 23:23:30.836833 : Epoch  8, Batch    206, Loss  0.603615, Average Loss  0.601960, Time  0.236263
2021-09-15 23:23:32.370309 : Epoch  8, Batch    207, Loss  0.605434, Average Loss  0.601989, Time  0.237183
2021-09-15 23:23:33.786208 : CheckPoint: Validation Loss  0.00035937, Best Loss  0.00035937
2021-09-15 23:23:33.819435 : Best Model Updated
2021-09-15 23:23:33.917219 : Epoch  8, Batch    208, Loss  0.615494, Average Loss  0.602108, Time  0.236973
2021-09-15 23:23:35.463008 : Epoch  8, Batch    209, Loss  0.596754, Average Loss  0.602070, Time  0.236644
2021-09-15 23:23:36.986015 : Epoch  8, Batch    210, Loss  0.622077, Average Loss  0.602234, Time  0.236853
2021-09-15 23:23:37.260973 : Epoch  1, Batch    201, Loss  1.060912, Average Loss  1.457074, Time  0.241219
2021-09-15 23:23:38.514406 : Epoch  8, Batch    211, Loss  0.588962, Average Loss  0.602155, Time  0.235829
2021-09-15 23:23:39.838393 : Epoch  1, Batch    202, Loss  1.049926, Average Loss  1.452946, Time  0.241161
2021-09-15 23:23:40.053736 : Epoch  8, Batch    212, Loss  0.592369, Average Loss  0.602093, Time  0.236949
2021-09-15 23:23:41.571795 : Epoch  8, Batch    213, Loss  0.600181, Average Loss  0.602063, Time  0.236109
2021-09-15 23:23:42.420704 : Epoch  1, Batch    203, Loss  1.050789, Average Loss  1.448794, Time  0.240442
2021-09-15 23:23:43.099335 : Epoch  8, Batch    214, Loss  0.588197, Average Loss  0.602006, Time  0.236419
2021-09-15 23:23:44.629107 : Epoch  8, Batch    215, Loss  0.603782, Average Loss  0.602081, Time  0.236503
2021-09-15 23:23:45.008106 : Epoch  1, Batch    204, Loss  1.040077, Average Loss  1.444633, Time  0.241508
2021-09-15 23:23:46.156453 : Epoch  8, Batch    216, Loss  0.600862, Average Loss  0.602081, Time  0.236603
2021-09-15 23:23:47.585953 : Epoch  1, Batch    205, Loss  1.034378, Average Loss  1.440413, Time  0.240745
2021-09-15 23:23:47.688064 : Epoch  8, Batch    217, Loss  0.607200, Average Loss  0.602083, Time  0.235955
2021-09-15 23:23:49.210957 : Epoch  8, Batch    218, Loss  0.609213, Average Loss  0.602128, Time  0.236036
2021-09-15 23:23:50.167731 : Epoch  1, Batch    206, Loss  1.044478, Average Loss  1.436299, Time  0.240471
2021-09-15 23:23:50.738975 : Epoch  8, Batch    219, Loss  0.604965, Average Loss  0.602189, Time  0.236512
2021-09-15 23:23:52.271960 : Epoch  8, Batch    220, Loss  0.592688, Average Loss  0.602204, Time  0.236032
2021-09-15 23:23:52.744534 : Epoch  1, Batch    207, Loss  1.058050, Average Loss  1.432314, Time  0.240282
2021-09-15 23:23:53.801815 : Epoch  8, Batch    221, Loss  0.603396, Average Loss  0.602185, Time  0.239183
2021-09-15 23:23:55.311883 : Epoch  1, Batch    208, Loss  1.056940, Average Loss  1.428345, Time  0.240073
2021-09-15 23:23:55.354060 : Epoch  8, Batch    222, Loss  0.604709, Average Loss  0.602183, Time  0.236067
2021-09-15 23:23:56.872239 : Epoch  8, Batch    223, Loss  0.601518, Average Loss  0.602208, Time  0.235955
2021-09-15 23:23:57.899137 : Epoch  1, Batch    209, Loss  1.072750, Average Loss  1.424470, Time  0.239859
2021-09-15 23:23:58.397281 : Epoch  8, Batch    224, Loss  0.605304, Average Loss  0.602224, Time  0.236476
2021-09-15 23:23:59.916422 : Epoch  8, Batch    225, Loss  0.603279, Average Loss  0.602224, Time  0.236498
2021-09-15 23:24:00.485140 : Epoch  1, Batch    210, Loss  1.040305, Average Loss  1.420468, Time  0.239930
2021-09-15 23:24:01.445008 : Epoch  8, Batch    226, Loss  0.594797, Average Loss  0.602163, Time  0.236648
2021-09-15 23:24:02.984463 : Epoch  8, Batch    227, Loss  0.602822, Average Loss  0.602157, Time  0.236525
2021-09-15 23:24:03.071763 : Epoch  1, Batch    211, Loss  1.020215, Average Loss  1.416393, Time  0.239779
2021-09-15 23:24:04.530713 : Epoch  8, Batch    228, Loss  0.598113, Average Loss  0.602145, Time  0.236163
2021-09-15 23:24:05.640101 : Epoch  1, Batch    212, Loss  1.037822, Average Loss  1.412453, Time  0.239852
2021-09-15 23:24:06.065117 : Epoch  8, Batch    229, Loss  0.607718, Average Loss  0.602234, Time  0.236631
2021-09-15 23:24:07.592340 : Epoch  8, Batch    230, Loss  0.595954, Average Loss  0.602248, Time  0.236126
2021-09-15 23:24:08.240423 : Epoch  1, Batch    213, Loss  1.031600, Average Loss  1.408535, Time  0.239997
2021-09-15 23:24:09.120577 : Epoch  8, Batch    231, Loss  0.595760, Average Loss  0.602250, Time  0.236188
2021-09-15 23:24:10.652378 : Epoch  8, Batch    232, Loss  0.597234, Average Loss  0.602228, Time  0.235993
2021-09-15 23:24:10.832412 : Epoch  1, Batch    214, Loss  1.020152, Average Loss  1.404612, Time  0.241150
2021-09-15 23:24:12.189772 : Epoch  8, Batch    233, Loss  0.599897, Average Loss  0.602250, Time  0.237660
2021-09-15 23:24:13.408083 : Epoch  1, Batch    215, Loss  0.990141, Average Loss  1.400582, Time  0.239662
2021-09-15 23:24:13.719356 : Epoch  8, Batch    234, Loss  0.601914, Average Loss  0.602263, Time  0.236217
2021-09-15 23:24:15.249035 : Epoch  8, Batch    235, Loss  0.596660, Average Loss  0.602206, Time  0.239175
2021-09-15 23:24:15.989914 : Epoch  1, Batch    216, Loss  1.031329, Average Loss  1.396797, Time  0.239645
2021-09-15 23:24:16.779584 : Epoch  8, Batch    236, Loss  0.617532, Average Loss  0.602248, Time  0.236569
2021-09-15 23:24:18.310134 : Epoch  8, Batch    237, Loss  0.615692, Average Loss  0.602369, Time  0.236740
2021-09-15 23:24:18.575317 : Epoch  1, Batch    217, Loss  1.028145, Average Loss  1.393108, Time  0.240291
2021-09-15 23:24:19.840873 : Epoch  8, Batch    238, Loss  0.603799, Average Loss  0.602412, Time  0.236774
2021-09-15 23:24:21.154984 : Epoch  1, Batch    218, Loss  1.024845, Average Loss  1.389403, Time  0.241002
2021-09-15 23:24:21.370902 : Epoch  8, Batch    239, Loss  0.597612, Average Loss  0.602400, Time  0.236647
2021-09-15 23:24:22.894049 : Epoch  8, Batch    240, Loss  0.605828, Average Loss  0.602416, Time  0.236819
2021-09-15 23:24:23.745514 : Epoch  1, Batch    219, Loss  1.014150, Average Loss  1.385725, Time  0.240206
2021-09-15 23:24:24.423093 : Epoch  8, Batch    241, Loss  0.616119, Average Loss  0.602515, Time  0.236888
2021-09-15 23:24:25.963910 : Epoch  8, Batch    242, Loss  0.603581, Average Loss  0.602483, Time  0.236321
2021-09-15 23:24:26.339899 : Epoch  1, Batch    220, Loss  1.007698, Average Loss  1.382057, Time  0.240943
2021-09-15 23:24:27.497854 : Epoch  8, Batch    243, Loss  0.583530, Average Loss  0.602339, Time  0.236311
2021-09-15 23:24:28.938888 : Epoch  1, Batch    221, Loss  1.005245, Average Loss  1.378342, Time  0.240210
2021-09-15 23:24:29.034500 : Epoch  8, Batch    244, Loss  0.596484, Average Loss  0.602293, Time  0.236807
2021-09-15 23:24:30.555413 : Epoch  8, Batch    245, Loss  0.613388, Average Loss  0.602321, Time  0.236299
2021-09-15 23:24:31.531006 : Epoch  1, Batch    222, Loss  1.009872, Average Loss  1.374732, Time  0.240091
2021-09-15 23:24:32.086696 : Epoch  8, Batch    246, Loss  0.597835, Average Loss  0.602335, Time  0.236688
2021-09-15 23:24:33.616132 : Epoch  8, Batch    247, Loss  0.600665, Average Loss  0.602345, Time  0.236015
2021-09-15 23:24:34.113939 : Epoch  1, Batch    223, Loss  1.003743, Average Loss  1.371116, Time  0.239902
2021-09-15 23:24:35.150487 : Epoch  8, Batch    248, Loss  0.605654, Average Loss  0.602418, Time  0.236147
2021-09-15 23:24:36.688590 : Epoch  8, Batch    249, Loss  0.595725, Average Loss  0.602365, Time  0.236841
2021-09-15 23:24:36.729175 : Epoch  1, Batch    224, Loss  0.990053, Average Loss  1.367492, Time  0.240328
2021-09-15 23:24:38.228407 : Epoch  8, Batch    250, Loss  0.601974, Average Loss  0.602337, Time  0.235699
2021-09-15 23:24:39.316221 : Epoch  1, Batch    225, Loss  1.016458, Average Loss  1.363981, Time  0.241414
2021-09-15 23:24:39.754504 : Epoch  8, Batch    251, Loss  0.590841, Average Loss  0.602249, Time  0.235935
2021-09-15 23:24:41.302171 : Epoch  8, Batch    252, Loss  0.616542, Average Loss  0.602352, Time  0.238912
2021-09-15 23:24:41.910747 : Epoch  1, Batch    226, Loss  1.008908, Average Loss  1.360568, Time  0.241493
2021-09-15 23:24:42.849246 : Epoch  8, Batch    253, Loss  0.589817, Average Loss  0.602285, Time  0.236351
2021-09-15 23:24:44.377394 : Epoch  8, Batch    254, Loss  0.598909, Average Loss  0.602288, Time  0.235776
2021-09-15 23:24:44.499240 : Epoch  1, Batch    227, Loss  0.990632, Average Loss  1.357031, Time  0.241077
2021-09-15 23:24:45.906894 : Epoch  8, Batch    255, Loss  0.595758, Average Loss  0.602285, Time  0.236758
2021-09-15 23:24:47.078411 : Epoch  1, Batch    228, Loss  0.992210, Average Loss  1.353498, Time  0.240000
2021-09-15 23:24:47.441313 : Epoch  8, Batch    256, Loss  0.594179, Average Loss  0.602257, Time  0.236370
2021-09-15 23:24:48.961357 : Epoch  8, Batch    257, Loss  0.606965, Average Loss  0.602253, Time  0.235848
2021-09-15 23:24:49.671866 : Epoch  1, Batch    229, Loss  0.972878, Average Loss  1.349913, Time  0.241137
2021-09-15 23:24:50.499125 : Epoch  8, Batch    258, Loss  0.595644, Average Loss  0.602189, Time  0.236328
2021-09-15 23:24:52.038434 : Epoch  8, Batch    259, Loss  0.608332, Average Loss  0.602287, Time  0.236131
2021-09-15 23:24:52.258969 : Epoch  1, Batch    230, Loss  0.993704, Average Loss  1.346438, Time  0.240180
2021-09-15 23:24:53.571979 : Epoch  8, Batch    260, Loss  0.591818, Average Loss  0.602272, Time  0.236376
2021-09-15 23:24:54.848422 : Epoch  1, Batch    231, Loss  0.999774, Average Loss  1.342965, Time  0.240406
2021-09-15 23:24:55.106933 : Epoch  8, Batch    261, Loss  0.592806, Average Loss  0.602161, Time  0.236126
2021-09-15 23:24:57.432911 : Epoch  1, Batch    232, Loss  0.976544, Average Loss  1.339427, Time  0.240416
2021-09-15 23:24:59.019101 : Epoch  8, Batch    262, Loss  0.607124, Average Loss  0.602099, Time  0.271486
2021-09-15 23:25:00.020072 : Epoch  1, Batch    233, Loss  0.969833, Average Loss  1.335837, Time  0.239709
2021-09-15 23:25:00.560076 : Epoch  8, Batch    263, Loss  0.599089, Average Loss  0.602088, Time  0.251338
2021-09-15 23:25:02.099846 : Epoch  8, Batch    264, Loss  0.598982, Average Loss  0.602043, Time  0.236133
2021-09-15 23:25:02.613877 : Epoch  1, Batch    234, Loss  0.999444, Average Loss  1.332449, Time  0.239854
2021-09-15 23:25:03.630464 : Epoch  8, Batch    265, Loss  0.607997, Average Loss  0.602113, Time  0.237295
2021-09-15 23:25:05.174141 : Epoch  8, Batch    266, Loss  0.594350, Average Loss  0.602068, Time  0.236576
2021-09-15 23:25:05.208319 : Epoch  1, Batch    235, Loss  0.968135, Average Loss  1.328891, Time  0.240398
2021-09-15 23:25:06.699276 : Epoch  8, Batch    267, Loss  0.591293, Average Loss  0.602030, Time  0.237226
2021-09-15 23:25:07.789913 : Epoch  1, Batch    236, Loss  0.982384, Average Loss  1.325430, Time  0.240820
2021-09-15 23:25:08.225433 : Epoch  8, Batch    268, Loss  0.601026, Average Loss  0.602336, Time  0.235881
2021-09-15 23:25:09.752387 : Epoch  8, Batch    269, Loss  0.599307, Average Loss  0.602317, Time  0.235744
2021-09-15 23:25:10.390873 : Epoch  1, Batch    237, Loss  0.974181, Average Loss  1.321892, Time  0.240583
2021-09-15 23:25:11.292696 : Epoch  8, Batch    270, Loss  0.607339, Average Loss  0.602298, Time  0.237198
2021-09-15 23:25:12.825282 : Epoch  8, Batch    271, Loss  0.598033, Average Loss  0.602229, Time  0.235949
2021-09-15 23:25:12.976948 : Epoch  1, Batch    238, Loss  0.975172, Average Loss  1.318404, Time  0.240806
2021-09-15 23:25:14.364299 : Epoch  8, Batch    272, Loss  0.613022, Average Loss  0.602272, Time  0.235973
2021-09-15 23:25:15.553430 : Epoch  1, Batch    239, Loss  0.949249, Average Loss  1.314826, Time  0.240593
2021-09-15 23:25:15.900100 : Epoch  8, Batch    273, Loss  0.602296, Average Loss  0.602269, Time  0.236958
2021-09-15 23:25:17.422041 : Epoch  8, Batch    274, Loss  0.606719, Average Loss  0.602287, Time  0.236261
2021-09-15 23:25:18.142130 : Epoch  1, Batch    240, Loss  0.975413, Average Loss  1.311368, Time  0.241555
2021-09-15 23:25:18.957205 : Epoch  8, Batch    275, Loss  0.603204, Average Loss  0.602239, Time  0.237059
2021-09-15 23:25:20.491231 : Epoch  8, Batch    276, Loss  0.602894, Average Loss  0.602243, Time  0.237069
2021-09-15 23:25:20.726803 : Epoch  1, Batch    241, Loss  0.958966, Average Loss  1.307811, Time  0.240409
2021-09-15 23:25:22.018389 : Epoch  8, Batch    277, Loss  0.601774, Average Loss  0.602186, Time  0.235832
2021-09-15 23:25:23.314418 : Epoch  1, Batch    242, Loss  0.965404, Average Loss  1.304324, Time  0.240343
2021-09-15 23:25:23.554351 : Epoch  8, Batch    278, Loss  0.604112, Average Loss  0.602167, Time  0.236034
2021-09-15 23:25:25.079188 : Epoch  8, Batch    279, Loss  0.597723, Average Loss  0.602110, Time  0.235891
2021-09-15 23:25:25.906383 : Epoch  1, Batch    243, Loss  0.958273, Average Loss  1.300685, Time  0.240517
2021-09-15 23:25:26.611182 : Epoch  8, Batch    280, Loss  0.598406, Average Loss  0.602064, Time  0.236078
2021-09-15 23:25:28.145428 : Epoch  8, Batch    281, Loss  0.609711, Average Loss  0.602108, Time  0.236760
2021-09-15 23:25:28.498919 : Epoch  1, Batch    244, Loss  0.960988, Average Loss  1.297230, Time  0.240059
2021-09-15 23:25:29.693963 : Epoch  8, Batch    282, Loss  0.602629, Average Loss  0.602077, Time  0.236198
2021-09-15 23:25:31.090703 : Epoch  1, Batch    245, Loss  0.984325, Average Loss  1.293797, Time  0.240177
2021-09-15 23:25:31.237220 : Epoch  8, Batch    283, Loss  0.608167, Average Loss  0.601999, Time  0.235947
2021-09-15 23:25:32.770854 : Epoch  8, Batch    284, Loss  0.593627, Average Loss  0.601935, Time  0.236795
2021-09-15 23:25:33.688344 : Epoch  1, Batch    246, Loss  0.977382, Average Loss  1.290299, Time  0.240196
2021-09-15 23:25:34.313388 : Epoch  8, Batch    285, Loss  0.593517, Average Loss  0.601904, Time  0.236193
2021-09-15 23:25:35.854736 : Epoch  8, Batch    286, Loss  0.599865, Average Loss  0.601904, Time  0.235662
2021-09-15 23:25:36.274297 : Epoch  1, Batch    247, Loss  0.945249, Average Loss  1.286684, Time  0.240167
2021-09-15 23:25:37.404396 : Epoch  8, Batch    287, Loss  0.610253, Average Loss  0.601925, Time  0.237057
2021-09-15 23:25:38.860142 : Epoch  1, Batch    248, Loss  0.963029, Average Loss  1.283187, Time  0.241279
2021-09-15 23:25:38.950025 : Epoch  8, Batch    288, Loss  0.606419, Average Loss  0.601966, Time  0.236122
2021-09-15 23:25:40.482401 : Epoch  8, Batch    289, Loss  0.623776, Average Loss  0.602104, Time  0.235565
2021-09-15 23:25:41.474890 : Epoch  1, Batch    249, Loss  0.960278, Average Loss  1.279620, Time  0.240472
2021-09-15 23:25:42.023115 : Epoch  8, Batch    290, Loss  0.610954, Average Loss  0.602110, Time  0.236277
2021-09-15 23:25:43.557993 : Epoch  8, Batch    291, Loss  0.602972, Average Loss  0.602100, Time  0.236128
2021-09-15 23:25:44.075102 : Epoch  1, Batch    250, Loss  0.977587, Average Loss  1.276257, Time  0.240851
2021-09-15 23:25:46.702887 : Epoch  1, Batch    251, Loss  0.966310, Average Loss  1.272726, Time  0.250659
2021-09-15 23:25:49.291059 : Epoch  1, Batch    252, Loss  0.943855, Average Loss  1.269134, Time  0.241636
2021-09-15 23:25:51.877041 : Epoch  1, Batch    253, Loss  0.964037, Average Loss  1.265596, Time  0.240317
2021-09-15 23:25:54.475984 : Epoch  1, Batch    254, Loss  0.953235, Average Loss  1.261984, Time  0.240243
2021-09-15 23:25:57.072868 : Epoch  1, Batch    255, Loss  0.958659, Average Loss  1.258444, Time  0.240950
2021-09-15 23:25:59.671868 : Epoch  1, Batch    256, Loss  0.964039, Average Loss  1.255005, Time  0.240012
2021-09-15 23:26:02.261257 : Epoch  1, Batch    257, Loss  0.970393, Average Loss  1.251476, Time  0.240302
2021-09-15 23:26:04.851086 : Epoch  1, Batch    258, Loss  0.994660, Average Loss  1.248129, Time  0.240123
2021-09-15 23:26:07.439392 : Epoch  1, Batch    259, Loss  0.968751, Average Loss  1.244682, Time  0.240203
2021-09-15 23:26:10.026475 : Epoch  1, Batch    260, Loss  0.980450, Average Loss  1.241294, Time  0.242088
2021-09-15 23:26:12.624193 : Epoch  1, Batch    261, Loss  0.949576, Average Loss  1.237799, Time  0.240546
2021-09-15 23:26:15.228417 : Epoch  1, Batch    262, Loss  0.949654, Average Loss  1.234272, Time  0.241699
2021-09-15 23:26:17.813813 : Epoch  1, Batch    263, Loss  0.957898, Average Loss  1.230778, Time  0.240596
2021-09-15 23:26:20.404394 : Epoch  1, Batch    264, Loss  0.962381, Average Loss  1.227325, Time  0.241206
2021-09-15 23:26:23.000435 : Epoch  1, Batch    265, Loss  0.949820, Average Loss  1.223752, Time  0.240567
2021-09-15 23:26:25.594529 : Epoch  1, Batch    266, Loss  0.955751, Average Loss  1.220271, Time  0.240569
2021-09-15 23:26:28.192461 : Epoch  1, Batch    267, Loss  0.925737, Average Loss  1.216687, Time  0.242018
2021-09-15 23:26:30.780902 : Epoch  1, Batch    268, Loss  0.926662, Average Loss  1.213064, Time  0.240140
2021-09-15 23:26:33.369223 : Epoch  1, Batch    269, Loss  0.953339, Average Loss  1.209545, Time  0.240160
2021-09-15 23:26:35.962908 : Epoch  1, Batch    270, Loss  0.960590, Average Loss  1.206077, Time  0.240543
2021-09-15 23:26:38.570253 : Epoch  1, Batch    271, Loss  0.949011, Average Loss  1.202640, Time  0.240376
2021-09-15 23:26:40.492295 : CheckPoint: Validation Loss  0.00025560, Best Loss  0.00024241
2021-09-15 23:26:41.176828 : Epoch  1, Batch    272, Loss  0.956234, Average Loss  1.199166, Time  0.241371
2021-09-15 23:26:42.037721 : Epoch  8, Batch    292, Loss  0.596785, Average Loss  0.602077, Time  0.236416
2021-09-15 23:26:43.584405 : Epoch  8, Batch    293, Loss  0.599288, Average Loss  0.602042, Time  0.237146
2021-09-15 23:26:43.763833 : Epoch  1, Batch    273, Loss  0.948429, Average Loss  1.195699, Time  0.240222
2021-09-15 23:26:45.128885 : Epoch  8, Batch    294, Loss  0.598538, Average Loss  0.602054, Time  0.235775
2021-09-15 23:26:46.351318 : Epoch  1, Batch    274, Loss  0.963881, Average Loss  1.192302, Time  0.241107
2021-09-15 23:26:46.679177 : Epoch  8, Batch    295, Loss  0.614179, Average Loss  0.602156, Time  0.236115
2021-09-15 23:26:48.224396 : Epoch  8, Batch    296, Loss  0.598427, Average Loss  0.602148, Time  0.238928
2021-09-15 23:26:48.938676 : Epoch  1, Batch    275, Loss  0.956520, Average Loss  1.188812, Time  0.240182
2021-09-15 23:26:49.766419 : Epoch  8, Batch    297, Loss  0.602082, Average Loss  0.602173, Time  0.236566
2021-09-15 23:26:51.318138 : Epoch  8, Batch    298, Loss  0.605292, Average Loss  0.602203, Time  0.237064
2021-09-15 23:26:51.536846 : Epoch  1, Batch    276, Loss  0.945703, Average Loss  1.185412, Time  0.243673
2021-09-15 23:26:52.858430 : Epoch  8, Batch    299, Loss  0.613890, Average Loss  0.602224, Time  0.235960
2021-09-15 23:26:54.143728 : Epoch  1, Batch    277, Loss  0.956484, Average Loss  1.181968, Time  0.242015
2021-09-15 23:26:54.405435 : Epoch  8, Batch    300, Loss  0.582334, Average Loss  0.602041, Time  0.236039
2021-09-15 23:26:55.939143 : Epoch  8, Batch    301, Loss  0.605487, Average Loss  0.602043, Time  0.236121
2021-09-15 23:26:56.733099 : Epoch  1, Batch    278, Loss  0.949811, Average Loss  1.178450, Time  0.240609
2021-09-15 23:26:57.479603 : Epoch  8, Batch    302, Loss  0.601283, Average Loss  0.602099, Time  0.235503
2021-09-15 23:26:59.026854 : Epoch  8, Batch    303, Loss  0.594766, Average Loss  0.602057, Time  0.236157
2021-09-15 23:26:59.318976 : Epoch  1, Batch    279, Loss  0.903679, Average Loss  1.174778, Time  0.240460
2021-09-15 23:27:00.574345 : Epoch  8, Batch    304, Loss  0.601918, Average Loss  0.601991, Time  0.236048
2021-09-15 23:27:01.907016 : Epoch  1, Batch    280, Loss  0.932143, Average Loss  1.171225, Time  0.242898
2021-09-15 23:27:02.114413 : Epoch  8, Batch    305, Loss  0.619445, Average Loss  0.602098, Time  0.235907
2021-09-15 23:27:03.653743 : Epoch  8, Batch    306, Loss  0.612466, Average Loss  0.602140, Time  0.235819
2021-09-15 23:27:04.505103 : Epoch  1, Batch    281, Loss  0.937111, Average Loss  1.167743, Time  0.241558
2021-09-15 23:27:05.203425 : Epoch  8, Batch    307, Loss  0.597433, Average Loss  0.602125, Time  0.236031
2021-09-15 23:27:06.740928 : Epoch  8, Batch    308, Loss  0.590358, Average Loss  0.602113, Time  0.236616
2021-09-15 23:27:07.096082 : Epoch  1, Batch    282, Loss  0.935310, Average Loss  1.164229, Time  0.241116
2021-09-15 23:27:08.276627 : Epoch  8, Batch    309, Loss  0.594071, Average Loss  0.602097, Time  0.236556
2021-09-15 23:27:09.680645 : Epoch  1, Batch    283, Loss  0.928164, Average Loss  1.160705, Time  0.240427
2021-09-15 23:27:09.825170 : Epoch  8, Batch    310, Loss  0.595848, Average Loss  0.602077, Time  0.237161
2021-09-15 23:27:11.355110 : Epoch  8, Batch    311, Loss  0.597670, Average Loss  0.602081, Time  0.236895
2021-09-15 23:27:12.270847 : Epoch  1, Batch    284, Loss  0.951369, Average Loss  1.157330, Time  0.240439
2021-09-15 23:27:12.895033 : Epoch  8, Batch    312, Loss  0.603018, Average Loss  0.602036, Time  0.236267
2021-09-15 23:27:14.442102 : Epoch  8, Batch    313, Loss  0.600433, Average Loss  0.602064, Time  0.237202
2021-09-15 23:27:14.867843 : Epoch  1, Batch    285, Loss  0.940972, Average Loss  1.153967, Time  0.240476
2021-09-15 23:27:15.985896 : Epoch  8, Batch    314, Loss  0.593324, Average Loss  0.601972, Time  0.237710
2021-09-15 23:27:17.455878 : Epoch  1, Batch    286, Loss  0.944270, Average Loss  1.150644, Time  0.241088
2021-09-15 23:27:17.543402 : Epoch  8, Batch    315, Loss  0.606869, Average Loss  0.601989, Time  0.247254
2021-09-15 23:27:19.125540 : Epoch  8, Batch    316, Loss  0.606530, Average Loss  0.602046, Time  0.235998
2021-09-15 23:27:20.101617 : Epoch  1, Batch    287, Loss  0.938425, Average Loss  1.147331, Time  0.240157
2021-09-15 23:27:20.669977 : Epoch  8, Batch    317, Loss  0.593378, Average Loss  0.602043, Time  0.236410
2021-09-15 23:27:22.235922 : Epoch  8, Batch    318, Loss  0.598369, Average Loss  0.602025, Time  0.236032
2021-09-15 23:27:22.699896 : Epoch  1, Batch    288, Loss  0.951487, Average Loss  1.144077, Time  0.244370
2021-09-15 23:27:23.767647 : Epoch  8, Batch    319, Loss  0.602857, Average Loss  0.602024, Time  0.236525
2021-09-15 23:27:25.290158 : Epoch  1, Batch    289, Loss  0.913871, Average Loss  1.140744, Time  0.240646
2021-09-15 23:27:25.330877 : Epoch  8, Batch    320, Loss  0.607162, Average Loss  0.602149, Time  0.236229
2021-09-15 23:27:26.878037 : Epoch  8, Batch    321, Loss  0.600105, Average Loss  0.602191, Time  0.235818
2021-09-15 23:27:27.901402 : Epoch  1, Batch    290, Loss  0.930960, Average Loss  1.137474, Time  0.240229
2021-09-15 23:27:28.419413 : Epoch  8, Batch    322, Loss  0.597028, Average Loss  0.602133, Time  0.235542
2021-09-15 23:27:29.954310 : Epoch  8, Batch    323, Loss  0.606350, Average Loss  0.602186, Time  0.236551
2021-09-15 23:27:30.490021 : Epoch  1, Batch    291, Loss  0.937354, Average Loss  1.134242, Time  0.241148
2021-09-15 23:27:31.486857 : Epoch  8, Batch    324, Loss  0.604956, Average Loss  0.602192, Time  0.235644
2021-09-15 23:27:33.021399 : Epoch  8, Batch    325, Loss  0.599606, Average Loss  0.602212, Time  0.235592
2021-09-15 23:27:33.088110 : Epoch  1, Batch    292, Loss  0.935641, Average Loss  1.131120, Time  0.240859
2021-09-15 23:27:34.558391 : Epoch  8, Batch    326, Loss  0.598851, Average Loss  0.602198, Time  0.235869
2021-09-15 23:27:35.675866 : Epoch  1, Batch    293, Loss  0.932639, Average Loss  1.127938, Time  0.240748
2021-09-15 23:27:36.095081 : Epoch  8, Batch    327, Loss  0.601110, Average Loss  0.602168, Time  0.235904
2021-09-15 23:27:37.628834 : Epoch  8, Batch    328, Loss  0.615002, Average Loss  0.602240, Time  0.236778
2021-09-15 23:27:38.270538 : Epoch  1, Batch    294, Loss  0.933982, Average Loss  1.124774, Time  0.240666
2021-09-15 23:27:39.168480 : Epoch  8, Batch    329, Loss  0.593984, Average Loss  0.602149, Time  0.236524
2021-09-15 23:27:40.707663 : Epoch  8, Batch    330, Loss  0.603462, Average Loss  0.602184, Time  0.235617
2021-09-15 23:27:40.866144 : Epoch  1, Batch    295, Loss  0.931233, Average Loss  1.121705, Time  0.241604
2021-09-15 23:27:42.252048 : Epoch  8, Batch    331, Loss  0.607875, Average Loss  0.602211, Time  0.235982
2021-09-15 23:27:43.458236 : Epoch  1, Batch    296, Loss  0.938866, Average Loss  1.118660, Time  0.240303
2021-09-15 23:27:43.786301 : Epoch  8, Batch    332, Loss  0.604500, Average Loss  0.602153, Time  0.236720
2021-09-15 23:27:45.312947 : Epoch  8, Batch    333, Loss  0.615667, Average Loss  0.602177, Time  0.237246
2021-09-15 23:27:46.056026 : Epoch  1, Batch    297, Loss  0.955289, Average Loss  1.115838, Time  0.241334
2021-09-15 23:27:46.855612 : Epoch  8, Batch    334, Loss  0.600137, Average Loss  0.602100, Time  0.236255
2021-09-15 23:27:48.391204 : Epoch  8, Batch    335, Loss  0.608731, Average Loss  0.602082, Time  0.236500
2021-09-15 23:27:48.650400 : Epoch  1, Batch    298, Loss  0.946198, Average Loss  1.112882, Time  0.240007
2021-09-15 23:27:49.930090 : Epoch  8, Batch    336, Loss  0.603505, Average Loss  0.602025, Time  0.235869
2021-09-15 23:27:51.249464 : Epoch  1, Batch    299, Loss  0.923089, Average Loss  1.109951, Time  0.242411
2021-09-15 23:27:51.443745 : CheckPoint: Validation Loss  0.00029379, Best Loss  0.00029379
2021-09-15 23:27:51.464400 : Epoch  8, Batch    337, Loss  0.611553, Average Loss  0.602096, Time  0.236077
2021-09-15 23:27:51.471665 : Best Model Updated
2021-09-15 23:27:53.004727 : Epoch  8, Batch    338, Loss  0.593904, Average Loss  0.602012, Time  0.235895
2021-09-15 23:27:53.852394 : Epoch  1, Batch    300, Loss  0.932185, Average Loss  1.107132, Time  0.242246
2021-09-15 23:27:54.535015 : Epoch  8, Batch    339, Loss  0.601872, Average Loss  0.601938, Time  0.236474
2021-09-15 23:27:55.554476 : Epoch  3, Batch   1289, Loss  0.861630, Average Loss  0.870109, Time  0.267236
2021-09-15 23:27:56.074094 : Epoch  8, Batch    340, Loss  0.604127, Average Loss  0.601972, Time  0.237624
2021-09-15 23:27:57.595976 : Epoch  8, Batch    341, Loss  0.603848, Average Loss  0.601941, Time  0.236071
2021-09-15 23:27:58.594670 : Epoch  3, Batch   1290, Loss  0.877172, Average Loss  0.870080, Time  0.265904
2021-09-15 23:27:59.127343 : Epoch  8, Batch    342, Loss  0.587427, Average Loss  0.601912, Time  0.237076
2021-09-15 23:28:00.645670 : Epoch  8, Batch    343, Loss  0.595691, Average Loss  0.601898, Time  0.235796
2021-09-15 23:28:01.626496 : Epoch  3, Batch   1291, Loss  0.902069, Average Loss  0.870209, Time  0.264959
2021-09-15 23:28:02.170833 : Epoch  8, Batch    344, Loss  0.603621, Average Loss  0.601895, Time  0.236045
2021-09-15 23:28:03.694912 : Epoch  8, Batch    345, Loss  0.608599, Average Loss  0.601893, Time  0.236730
2021-09-15 23:28:04.629728 : Epoch  3, Batch   1292, Loss  0.894991, Average Loss  0.870242, Time  0.265666
2021-09-15 23:28:05.234570 : Epoch  8, Batch    346, Loss  0.605298, Average Loss  0.601932, Time  0.238761
2021-09-15 23:28:06.786467 : Epoch  8, Batch    347, Loss  0.607133, Average Loss  0.601975, Time  0.236952
2021-09-15 23:28:07.634555 : Epoch  3, Batch   1293, Loss  0.880451, Average Loss  0.870393, Time  0.266344
2021-09-15 23:28:08.333044 : Epoch  8, Batch    348, Loss  0.594944, Average Loss  0.601884, Time  0.236360
2021-09-15 23:28:09.879104 : Epoch  8, Batch    349, Loss  0.602625, Average Loss  0.601914, Time  0.236662
2021-09-15 23:28:10.635373 : Epoch  3, Batch   1294, Loss  0.858008, Average Loss  0.870346, Time  0.265646
2021-09-15 23:28:11.420415 : Epoch  8, Batch    350, Loss  0.586844, Average Loss  0.601845, Time  0.236568
2021-09-15 23:28:12.963971 : Epoch  8, Batch    351, Loss  0.600072, Average Loss  0.601861, Time  0.236637
2021-09-15 23:28:13.670261 : Epoch  3, Batch   1295, Loss  0.878295, Average Loss  0.870373, Time  0.266127
2021-09-15 23:28:14.505263 : Epoch  8, Batch    352, Loss  0.602021, Average Loss  0.601853, Time  0.237049
2021-09-15 23:28:16.039246 : Epoch  8, Batch    353, Loss  0.608619, Average Loss  0.601883, Time  0.236094
2021-09-15 23:28:16.709389 : Epoch  3, Batch   1296, Loss  0.895417, Average Loss  0.870518, Time  0.265651
2021-09-15 23:28:17.583224 : Epoch  8, Batch    354, Loss  0.603638, Average Loss  0.601875, Time  0.236214
2021-09-15 23:28:19.116114 : Epoch  8, Batch    355, Loss  0.603798, Average Loss  0.601890, Time  0.235860
2021-09-15 23:28:19.735690 : Epoch  3, Batch   1297, Loss  0.859332, Average Loss  0.870412, Time  0.265822
2021-09-15 23:28:20.666449 : Epoch  8, Batch    356, Loss  0.593558, Average Loss  0.601878, Time  0.241680
2021-09-15 23:28:22.204844 : Epoch  8, Batch    357, Loss  0.604430, Average Loss  0.601924, Time  0.236490
2021-09-15 23:28:22.740122 : Epoch  3, Batch   1298, Loss  0.878357, Average Loss  0.870491, Time  0.265226
2021-09-15 23:28:23.746593 : Epoch  8, Batch    358, Loss  0.599728, Average Loss  0.601872, Time  0.235402
2021-09-15 23:28:25.296412 : Epoch  8, Batch    359, Loss  0.612588, Average Loss  0.601918, Time  0.235703
2021-09-15 23:28:25.735632 : Epoch  3, Batch   1299, Loss  0.893620, Average Loss  0.870571, Time  0.272442
2021-09-15 23:28:26.845902 : Epoch  8, Batch    360, Loss  0.598960, Average Loss  0.601886, Time  0.236843
2021-09-15 23:28:28.385313 : Epoch  8, Batch    361, Loss  0.606850, Average Loss  0.601942, Time  0.236074
2021-09-15 23:28:28.778189 : Epoch  3, Batch   1300, Loss  0.872206, Average Loss  0.870550, Time  0.264909
2021-09-15 23:28:31.766921 : Epoch  3, Batch   1301, Loss  0.866962, Average Loss  0.870525, Time  0.264941
2021-09-15 23:28:32.339017 : Epoch  8, Batch    362, Loss  0.600150, Average Loss  0.601945, Time  0.257981
2021-09-15 23:28:33.884739 : Epoch  8, Batch    363, Loss  0.600986, Average Loss  0.601901, Time  0.239181
2021-09-15 23:28:34.764714 : Epoch  3, Batch   1302, Loss  0.885081, Average Loss  0.870500, Time  0.265846
2021-09-15 23:28:35.418371 : Epoch  8, Batch    364, Loss  0.601975, Average Loss  0.601916, Time  0.236381
2021-09-15 23:28:36.954724 : Epoch  8, Batch    365, Loss  0.603189, Average Loss  0.601925, Time  0.235954
2021-09-15 23:28:37.770256 : Epoch  3, Batch   1303, Loss  0.875726, Average Loss  0.870545, Time  0.266042
2021-09-15 23:28:38.494172 : Epoch  8, Batch    366, Loss  0.600112, Average Loss  0.601930, Time  0.236842
2021-09-15 23:28:40.025992 : Epoch  8, Batch    367, Loss  0.603494, Average Loss  0.601951, Time  0.236259
2021-09-15 23:28:40.802646 : Epoch  3, Batch   1304, Loss  0.874849, Average Loss  0.870459, Time  0.266327
2021-09-15 23:28:41.564193 : Epoch  8, Batch    368, Loss  0.598627, Average Loss  0.601937, Time  0.236958
2021-09-15 23:28:43.096284 : Epoch  8, Batch    369, Loss  0.612870, Average Loss  0.601958, Time  0.236052
2021-09-15 23:28:43.798995 : Epoch  3, Batch   1305, Loss  0.864400, Average Loss  0.870428, Time  0.265307
2021-09-15 23:28:44.628409 : Epoch  8, Batch    370, Loss  0.597049, Average Loss  0.601935, Time  0.235856
2021-09-15 23:28:46.178026 : Epoch  8, Batch    371, Loss  0.596357, Average Loss  0.601965, Time  0.237073
2021-09-15 23:28:46.795788 : Epoch  3, Batch   1306, Loss  0.873777, Average Loss  0.870493, Time  0.264616
2021-09-15 23:28:47.711064 : Epoch  8, Batch    372, Loss  0.599840, Average Loss  0.601976, Time  0.236107
2021-09-15 23:28:49.244101 : Epoch  8, Batch    373, Loss  0.595681, Average Loss  0.602018, Time  0.237310
2021-09-15 23:28:49.819795 : Epoch  3, Batch   1307, Loss  0.865563, Average Loss  0.870554, Time  0.267200
2021-09-15 23:28:50.779848 : Epoch  8, Batch    374, Loss  0.589993, Average Loss  0.601936, Time  0.237682
2021-09-15 23:28:52.317629 : Epoch  8, Batch    375, Loss  0.618414, Average Loss  0.601965, Time  0.237283
2021-09-15 23:28:52.862664 : Epoch  3, Batch   1308, Loss  0.876056, Average Loss  0.870617, Time  0.265632
2021-09-15 23:28:53.851276 : Epoch  8, Batch    376, Loss  0.603366, Average Loss  0.601994, Time  0.235819
2021-09-15 23:28:55.379688 : Epoch  8, Batch    377, Loss  0.593578, Average Loss  0.602016, Time  0.236079
2021-09-15 23:28:55.860298 : Epoch  3, Batch   1309, Loss  0.840963, Average Loss  0.870440, Time  0.265594
2021-09-15 23:28:56.912121 : Epoch  8, Batch    378, Loss  0.600387, Average Loss  0.601979, Time  0.236486
2021-09-15 23:28:58.436896 : Epoch  8, Batch    379, Loss  0.599565, Average Loss  0.601972, Time  0.237018
2021-09-15 23:28:58.854421 : Epoch  3, Batch   1310, Loss  0.881523, Average Loss  0.870490, Time  0.265269
2021-09-15 23:28:59.980458 : Epoch  8, Batch    380, Loss  0.606560, Average Loss  0.602046, Time  0.235765
2021-09-15 23:29:01.519508 : Epoch  8, Batch    381, Loss  0.611370, Average Loss  0.602096, Time  0.237608
2021-09-15 23:29:01.850327 : Epoch  3, Batch   1311, Loss  0.870402, Average Loss  0.870495, Time  0.264991
2021-09-15 23:29:03.059619 : Epoch  8, Batch    382, Loss  0.603989, Average Loss  0.602117, Time  0.236139
2021-09-15 23:29:04.593424 : Epoch  8, Batch    383, Loss  0.612556, Average Loss  0.602129, Time  0.236102
2021-09-15 23:29:04.853915 : Epoch  3, Batch   1312, Loss  0.893273, Average Loss  0.870602, Time  0.267012
2021-09-15 23:29:06.137198 : Epoch  8, Batch    384, Loss  0.595469, Average Loss  0.602133, Time  0.236869
2021-09-15 23:29:07.677465 : Epoch  8, Batch    385, Loss  0.606382, Average Loss  0.602091, Time  0.236064
2021-09-15 23:29:07.849771 : Epoch  3, Batch   1313, Loss  0.864399, Average Loss  0.870490, Time  0.266136
2021-09-15 23:29:09.215220 : Epoch  8, Batch    386, Loss  0.603649, Average Loss  0.602134, Time  0.235786
2021-09-15 23:29:10.745494 : Epoch  8, Batch    387, Loss  0.619973, Average Loss  0.602189, Time  0.236089
2021-09-15 23:29:10.847604 : Epoch  3, Batch   1314, Loss  0.861368, Average Loss  0.870374, Time  0.273067
2021-09-15 23:29:12.284579 : Epoch  8, Batch    388, Loss  0.603725, Average Loss  0.602241, Time  0.236428
2021-09-15 23:29:13.816450 : Epoch  8, Batch    389, Loss  0.597330, Average Loss  0.602182, Time  0.235759
2021-09-15 23:29:13.839139 : Epoch  3, Batch   1315, Loss  0.870753, Average Loss  0.870434, Time  0.265057
2021-09-15 23:29:15.349426 : Epoch  8, Batch    390, Loss  0.596645, Average Loss  0.602150, Time  0.236233
2021-09-15 23:29:16.850264 : Epoch  3, Batch   1316, Loss  0.887628, Average Loss  0.870575, Time  0.264829
2021-09-15 23:29:16.891028 : Epoch  8, Batch    391, Loss  0.599723, Average Loss  0.602218, Time  0.236158
2021-09-15 23:29:19.842520 : Epoch  3, Batch   1317, Loss  0.893512, Average Loss  0.870687, Time  0.265893
2021-09-15 23:29:22.845674 : Epoch  3, Batch   1318, Loss  0.881325, Average Loss  0.870712, Time  0.264969
2021-09-15 23:29:25.861407 : Epoch  3, Batch   1319, Loss  0.876400, Average Loss  0.870755, Time  0.265261
2021-09-15 23:29:28.857840 : Epoch  3, Batch   1320, Loss  0.864938, Average Loss  0.870742, Time  0.265145
2021-09-15 23:29:31.854072 : Epoch  3, Batch   1321, Loss  0.883183, Average Loss  0.870857, Time  0.265734
2021-09-15 23:29:34.860905 : Epoch  3, Batch   1322, Loss  0.847023, Average Loss  0.870737, Time  0.265878
2021-09-15 23:29:37.884181 : Epoch  3, Batch   1323, Loss  0.853359, Average Loss  0.870710, Time  0.265798
2021-09-15 23:29:40.906418 : Epoch  3, Batch   1324, Loss  0.859818, Average Loss  0.870684, Time  0.267082
2021-09-15 23:29:43.940527 : Epoch  3, Batch   1325, Loss  0.876508, Average Loss  0.870665, Time  0.266607
2021-09-15 23:29:46.973123 : Epoch  3, Batch   1326, Loss  0.877759, Average Loss  0.870612, Time  0.266292
2021-09-15 23:29:49.985797 : Epoch  3, Batch   1327, Loss  0.848073, Average Loss  0.870471, Time  0.266973
2021-09-15 23:29:52.990856 : Epoch  3, Batch   1328, Loss  0.884206, Average Loss  0.870608, Time  0.265810
2021-09-15 23:29:56.039380 : Epoch  3, Batch   1329, Loss  0.887835, Average Loss  0.870653, Time  0.279938
2021-09-15 23:29:59.037407 : Epoch  3, Batch   1330, Loss  0.870891, Average Loss  0.870592, Time  0.266993
2021-09-15 23:30:02.063275 : Epoch  3, Batch   1331, Loss  0.865863, Average Loss  0.870566, Time  0.265265
2021-09-15 23:30:05.095426 : Epoch  3, Batch   1332, Loss  0.848125, Average Loss  0.870414, Time  0.265997
2021-09-15 23:30:08.147498 : Epoch  3, Batch   1333, Loss  0.885870, Average Loss  0.870519, Time  0.265730
2021-09-15 23:30:11.167459 : Epoch  3, Batch   1334, Loss  0.848606, Average Loss  0.870422, Time  0.264924
2021-09-15 23:30:13.951756 : CheckPoint: Validation Loss  0.00024058, Best Loss  0.00024058
2021-09-15 23:30:13.998834 : Best Model Updated
2021-09-15 23:30:14.167459 : Epoch  3, Batch   1335, Loss  0.843167, Average Loss  0.870294, Time  0.264024
2021-09-15 23:30:16.491276 : Epoch  8, Batch    392, Loss  0.615446, Average Loss  0.602289, Time  0.273070
2021-09-15 23:30:17.177624 : Epoch  3, Batch   1336, Loss  0.861082, Average Loss  0.870287, Time  0.264644
2021-09-15 23:30:18.043594 : Epoch  8, Batch    393, Loss  0.616187, Average Loss  0.602394, Time  0.253136
2021-09-15 23:30:19.577986 : Epoch  8, Batch    394, Loss  0.604860, Average Loss  0.602368, Time  0.237880
2021-09-15 23:30:20.228121 : Epoch  3, Batch   1337, Loss  0.865735, Average Loss  0.870334, Time  0.265798
2021-09-15 23:30:21.111327 : Epoch  8, Batch    395, Loss  0.603870, Average Loss  0.602345, Time  0.235913
2021-09-15 23:30:22.657113 : Epoch  8, Batch    396, Loss  0.594103, Average Loss  0.602267, Time  0.237494
2021-09-15 23:30:23.245573 : Epoch  3, Batch   1338, Loss  0.843712, Average Loss  0.870151, Time  0.264899
2021-09-15 23:30:24.196187 : Epoch  8, Batch    397, Loss  0.596934, Average Loss  0.602240, Time  0.236815
2021-09-15 23:30:25.733927 : Epoch  8, Batch    398, Loss  0.593941, Average Loss  0.602159, Time  0.236933
2021-09-15 23:30:26.235034 : Epoch  3, Batch   1339, Loss  0.895454, Average Loss  0.870247, Time  0.264988
2021-09-15 23:30:27.267992 : Epoch  8, Batch    399, Loss  0.596829, Average Loss  0.602142, Time  0.238279
2021-09-15 23:30:28.802693 : Epoch  8, Batch    400, Loss  0.600964, Average Loss  0.602177, Time  0.236492
2021-09-15 23:30:29.231842 : Epoch  3, Batch   1340, Loss  0.874683, Average Loss  0.870163, Time  0.265911
2021-09-15 23:30:30.330674 : Epoch  8, Batch    401, Loss  0.601859, Average Loss  0.602152, Time  0.236305
2021-09-15 23:30:31.867442 : Epoch  8, Batch    402, Loss  0.599217, Average Loss  0.602126, Time  0.236391
2021-09-15 23:30:32.242773 : Epoch  3, Batch   1341, Loss  0.859999, Average Loss  0.870165, Time  0.265807
2021-09-15 23:30:33.407652 : Epoch  8, Batch    403, Loss  0.610496, Average Loss  0.602105, Time  0.237670
2021-09-15 23:30:34.933145 : Epoch  8, Batch    404, Loss  0.593405, Average Loss  0.602091, Time  0.235852
2021-09-15 23:30:35.269867 : Epoch  3, Batch   1342, Loss  0.885421, Average Loss  0.870203, Time  0.265908
2021-09-15 23:30:36.477400 : Epoch  8, Batch    405, Loss  0.614130, Average Loss  0.602129, Time  0.235602
2021-09-15 23:30:38.020417 : Epoch  8, Batch    406, Loss  0.604867, Average Loss  0.602135, Time  0.236721
2021-09-15 23:30:38.274073 : Epoch  3, Batch   1343, Loss  0.858709, Average Loss  0.870088, Time  0.265738
2021-09-15 23:30:39.557435 : Epoch  8, Batch    407, Loss  0.603624, Average Loss  0.602126, Time  0.237473
2021-09-15 23:30:41.099998 : Epoch  8, Batch    408, Loss  0.600411, Average Loss  0.602051, Time  0.238412
2021-09-15 23:30:41.303610 : Epoch  3, Batch   1344, Loss  0.866044, Average Loss  0.870050, Time  0.280464
2021-09-15 23:30:42.632429 : Epoch  8, Batch    409, Loss  0.601601, Average Loss  0.602075, Time  0.236558
2021-09-15 23:30:44.163730 : Epoch  8, Batch    410, Loss  0.608285, Average Loss  0.602006, Time  0.235795
2021-09-15 23:30:44.404563 : Epoch  3, Batch   1345, Loss  0.880669, Average Loss  0.870153, Time  0.269064
2021-09-15 23:30:45.693359 : Epoch  8, Batch    411, Loss  0.607720, Average Loss  0.602100, Time  0.235801
2021-09-15 23:30:47.227842 : Epoch  8, Batch    412, Loss  0.597643, Average Loss  0.602126, Time  0.235708
2021-09-15 23:30:47.449093 : Epoch  3, Batch   1346, Loss  0.874640, Average Loss  0.870152, Time  0.265767
2021-09-15 23:30:48.770014 : Epoch  8, Batch    413, Loss  0.597614, Average Loss  0.602114, Time  0.238380
2021-09-15 23:30:50.319143 : Epoch  8, Batch    414, Loss  0.596843, Average Loss  0.602157, Time  0.237846
2021-09-15 23:30:50.433549 : Epoch  3, Batch   1347, Loss  0.870093, Average Loss  0.870218, Time  0.265763
2021-09-15 23:30:51.857408 : Epoch  8, Batch    415, Loss  0.604422, Average Loss  0.602160, Time  0.250006
2021-09-15 23:30:53.396430 : Epoch  8, Batch    416, Loss  0.606751, Average Loss  0.602189, Time  0.241132
2021-09-15 23:30:53.441868 : Epoch  3, Batch   1348, Loss  0.873578, Average Loss  0.870241, Time  0.265357
2021-09-15 23:30:54.937674 : Epoch  8, Batch    417, Loss  0.601537, Average Loss  0.602161, Time  0.236744
2021-09-15 23:30:56.449327 : Epoch  3, Batch   1349, Loss  0.865453, Average Loss  0.870251, Time  0.265174
2021-09-15 23:30:56.476824 : Epoch  8, Batch    418, Loss  0.599772, Average Loss  0.602114, Time  0.235883
2021-09-15 23:30:58.010387 : Epoch  8, Batch    419, Loss  0.597323, Average Loss  0.602076, Time  0.235791
2021-09-15 23:30:59.436593 : Epoch  3, Batch   1350, Loss  0.870421, Average Loss  0.870165, Time  0.265118
2021-09-15 23:30:59.540986 : Epoch  8, Batch    420, Loss  0.597674, Average Loss  0.602101, Time  0.236234
2021-09-15 23:31:01.069415 : Epoch  8, Batch    421, Loss  0.599613, Average Loss  0.602082, Time  0.235623
2021-09-15 23:31:02.432055 : Epoch  3, Batch   1351, Loss  0.865154, Average Loss  0.870171, Time  0.265561
2021-09-15 23:31:02.614480 : Epoch  8, Batch    422, Loss  0.604184, Average Loss  0.602079, Time  0.236112
2021-09-15 23:31:04.144660 : Epoch  8, Batch    423, Loss  0.607015, Average Loss  0.602107, Time  0.235924
2021-09-15 23:31:05.413967 : Epoch  3, Batch   1352, Loss  0.851581, Average Loss  0.870163, Time  0.265011
2021-09-15 23:31:05.680257 : Epoch  8, Batch    424, Loss  0.610689, Average Loss  0.602134, Time  0.236102
2021-09-15 23:31:07.211084 : Epoch  8, Batch    425, Loss  0.594080, Average Loss  0.602088, Time  0.235924
2021-09-15 23:31:08.399052 : Epoch  3, Batch   1353, Loss  0.887108, Average Loss  0.870309, Time  0.265635
2021-09-15 23:31:08.744436 : Epoch  8, Batch    426, Loss  0.589260, Average Loss  0.602060, Time  0.236792
2021-09-15 23:31:10.271215 : Epoch  8, Batch    427, Loss  0.611142, Average Loss  0.602101, Time  0.236048
2021-09-15 23:31:11.403986 : Epoch  3, Batch   1354, Loss  0.858504, Average Loss  0.870305, Time  0.265858
2021-09-15 23:31:11.802155 : Epoch  8, Batch    428, Loss  0.600192, Average Loss  0.602112, Time  0.236175
2021-09-15 23:31:13.329767 : Epoch  8, Batch    429, Loss  0.605275, Average Loss  0.602100, Time  0.236506
2021-09-15 23:31:14.426810 : Epoch  3, Batch   1355, Loss  0.880653, Average Loss  0.870402, Time  0.265279
2021-09-15 23:31:14.865321 : Epoch  8, Batch    430, Loss  0.606990, Average Loss  0.602155, Time  0.235918
2021-09-15 23:31:16.391856 : Epoch  8, Batch    431, Loss  0.600940, Average Loss  0.602181, Time  0.236118
2021-09-15 23:31:17.442452 : Epoch  3, Batch   1356, Loss  0.893262, Average Loss  0.870552, Time  0.266266
2021-09-15 23:31:17.931725 : Epoch  8, Batch    432, Loss  0.607701, Average Loss  0.602233, Time  0.237962
2021-09-15 23:31:19.457082 : Epoch  8, Batch    433, Loss  0.607192, Average Loss  0.602270, Time  0.236163
2021-09-15 23:31:20.476850 : Epoch  3, Batch   1357, Loss  0.865127, Average Loss  0.870515, Time  0.266180
2021-09-15 23:31:20.995112 : Epoch  8, Batch    434, Loss  0.594955, Average Loss  0.602235, Time  0.235834
2021-09-15 23:31:22.525416 : Epoch  8, Batch    435, Loss  0.603596, Average Loss  0.602269, Time  0.236746
2021-09-15 23:31:23.473650 : Epoch  3, Batch   1358, Loss  0.875987, Average Loss  0.870501, Time  0.265170
2021-09-15 23:31:24.058851 : Epoch  8, Batch    436, Loss  0.605009, Average Loss  0.602207, Time  0.235954
2021-09-15 23:31:25.595725 : Epoch  8, Batch    437, Loss  0.594234, Average Loss  0.602099, Time  0.236354
2021-09-15 23:31:26.490123 : Epoch  3, Batch   1359, Loss  0.878417, Average Loss  0.870524, Time  0.278407
2021-09-15 23:31:27.150425 : Epoch  8, Batch    438, Loss  0.604093, Average Loss  0.602101, Time  0.236016
2021-09-15 23:31:28.698377 : Epoch  8, Batch    439, Loss  0.601404, Average Loss  0.602120, Time  0.237082
2021-09-15 23:31:29.504594 : Epoch  3, Batch   1360, Loss  0.884321, Average Loss  0.870608, Time  0.265791
2021-09-15 23:31:30.230085 : Epoch  8, Batch    440, Loss  0.589670, Average Loss  0.602039, Time  0.235984
2021-09-15 23:31:31.767319 : Epoch  8, Batch    441, Loss  0.606441, Average Loss  0.601991, Time  0.235965
2021-09-15 23:31:32.526844 : Epoch  3, Batch   1361, Loss  0.851072, Average Loss  0.870430, Time  0.265146
2021-09-15 23:31:33.294589 : Epoch  8, Batch    442, Loss  0.590942, Average Loss  0.601928, Time  0.236555
2021-09-15 23:31:34.835231 : Epoch  8, Batch    443, Loss  0.596346, Average Loss  0.601992, Time  0.237406
2021-09-15 23:31:35.512572 : Epoch  3, Batch   1362, Loss  0.857955, Average Loss  0.870405, Time  0.263587
2021-09-15 23:31:36.374445 : Epoch  8, Batch    444, Loss  0.601252, Average Loss  0.602015, Time  0.236809
2021-09-15 23:31:37.912606 : Epoch  8, Batch    445, Loss  0.580706, Average Loss  0.601852, Time  0.236197
2021-09-15 23:31:38.509440 : Epoch  3, Batch   1363, Loss  0.848148, Average Loss  0.870300, Time  0.267154
2021-09-15 23:31:39.448653 : Epoch  8, Batch    446, Loss  0.591877, Average Loss  0.601822, Time  0.236139
2021-09-15 23:31:40.983441 : Epoch  8, Batch    447, Loss  0.606932, Average Loss  0.601854, Time  0.236455
2021-09-15 23:31:41.532918 : Epoch  3, Batch   1364, Loss  0.876894, Average Loss  0.870409, Time  0.266420
2021-09-15 23:31:42.508864 : Epoch  8, Batch    448, Loss  0.596519, Average Loss  0.601808, Time  0.236078
2021-09-15 23:31:44.037013 : Epoch  8, Batch    449, Loss  0.599442, Average Loss  0.601827, Time  0.237091
2021-09-15 23:31:44.471934 : Epoch  3, Batch   1365, Loss  0.870290, Average Loss  0.870437, Time  0.267108
2021-09-15 23:31:45.571911 : Epoch  8, Batch    450, Loss  0.590343, Average Loss  0.601768, Time  0.239187
2021-09-15 23:31:47.112993 : Epoch  8, Batch    451, Loss  0.599955, Average Loss  0.601814, Time  0.237134
2021-09-15 23:31:47.490174 : Epoch  3, Batch   1366, Loss  0.884277, Average Loss  0.870485, Time  0.266060
2021-09-15 23:31:48.637821 : Epoch  8, Batch    452, Loss  0.609064, Average Loss  0.601777, Time  0.237338
2021-09-15 23:31:50.169647 : Epoch  8, Batch    453, Loss  0.600202, Average Loss  0.601828, Time  0.235806
2021-09-15 23:31:50.500664 : Epoch  3, Batch   1367, Loss  0.866779, Average Loss  0.870377, Time  0.266337
2021-09-15 23:31:51.715970 : Epoch  8, Batch    454, Loss  0.614884, Average Loss  0.601908, Time  0.236852
2021-09-15 23:31:53.246132 : Epoch  8, Batch    455, Loss  0.603745, Average Loss  0.601948, Time  0.236257
2021-09-15 23:31:53.511724 : Epoch  3, Batch   1368, Loss  0.881031, Average Loss  0.870418, Time  0.265259
2021-09-15 23:31:54.775796 : Epoch  8, Batch    456, Loss  0.586779, Average Loss  0.601911, Time  0.236388
2021-09-15 23:31:56.305390 : Epoch  8, Batch    457, Loss  0.596090, Average Loss  0.601857, Time  0.236681
2021-09-15 23:31:56.532571 : Epoch  3, Batch   1369, Loss  0.863456, Average Loss  0.870394, Time  0.266167
2021-09-15 23:31:56.969683 : CheckPoint: Validation Loss  0.00030822, Best Loss  0.00030822
2021-09-15 23:31:57.033088 : Best Model Updated
2021-09-15 23:31:57.844133 : Epoch  8, Batch    458, Loss  0.612186, Average Loss  0.601940, Time  0.235738
2021-09-15 23:31:59.398378 : Epoch  8, Batch    459, Loss  0.598498, Average Loss  0.601890, Time  0.239734
2021-09-15 23:31:59.561013 : Epoch  3, Batch   1370, Loss  0.852882, Average Loss  0.870314, Time  0.266164
2021-09-15 23:32:00.440293 : Epoch  1, Batch    301, Loss  0.932448, Average Loss  1.104380, Time  0.242594
2021-09-15 23:32:00.934598 : Epoch  8, Batch    460, Loss  0.610051, Average Loss  0.601982, Time  0.236222
2021-09-15 23:32:02.457603 : Epoch  8, Batch    461, Loss  0.615113, Average Loss  0.602093, Time  0.236626
2021-09-15 23:32:02.568944 : Epoch  3, Batch   1371, Loss  0.880784, Average Loss  0.870299, Time  0.266445
2021-09-15 23:32:03.078937 : Epoch  1, Batch    302, Loss  0.940116, Average Loss  1.101651, Time  0.241291
2021-09-15 23:32:05.593519 : Epoch  3, Batch   1372, Loss  0.870372, Average Loss  0.870234, Time  0.265979
2021-09-15 23:32:05.672836 : Epoch  1, Batch    303, Loss  0.940750, Average Loss  1.098956, Time  0.241286
2021-09-15 23:32:06.366678 : Epoch  8, Batch    462, Loss  0.600293, Average Loss  0.602059, Time  0.250451
2021-09-15 23:32:07.890257 : Epoch  8, Batch    463, Loss  0.592377, Average Loss  0.602025, Time  0.237890
2021-09-15 23:32:08.278868 : Epoch  1, Batch    304, Loss  0.914116, Average Loss  1.096206, Time  0.240258
2021-09-15 23:32:08.642626 : Epoch  3, Batch   1373, Loss  0.867468, Average Loss  0.870249, Time  0.265162
2021-09-15 23:32:09.412126 : Epoch  8, Batch    464, Loss  0.612078, Average Loss  0.602091, Time  0.236834
2021-09-15 23:32:10.880041 : Epoch  1, Batch    305, Loss  0.930165, Average Loss  1.093584, Time  0.240518
2021-09-15 23:32:10.941375 : Epoch  8, Batch    465, Loss  0.591497, Average Loss  0.602008, Time  0.236012
2021-09-15 23:32:11.644399 : Epoch  3, Batch   1374, Loss  0.867065, Average Loss  0.870296, Time  0.275221
2021-09-15 23:32:12.474111 : Epoch  8, Batch    466, Loss  0.599729, Average Loss  0.602035, Time  0.236575
2021-09-15 23:32:13.481441 : Epoch  1, Batch    306, Loss  0.940274, Average Loss  1.091012, Time  0.240459
2021-09-15 23:32:13.998654 : Epoch  8, Batch    467, Loss  0.597658, Average Loss  0.602067, Time  0.235852
2021-09-15 23:32:14.645648 : Epoch  3, Batch   1375, Loss  0.858953, Average Loss  0.870290, Time  0.265654
2021-09-15 23:32:15.523991 : Epoch  8, Batch    468, Loss  0.602027, Average Loss  0.602072, Time  0.237299
2021-09-15 23:32:16.085536 : Epoch  1, Batch    307, Loss  0.944581, Average Loss  1.088521, Time  0.240547
2021-09-15 23:32:17.056860 : Epoch  8, Batch    469, Loss  0.595922, Average Loss  0.602055, Time  0.237454
2021-09-15 23:32:17.674700 : Epoch  3, Batch   1376, Loss  0.871334, Average Loss  0.870326, Time  0.265905
2021-09-15 23:32:18.582959 : Epoch  8, Batch    470, Loss  0.599979, Average Loss  0.602018, Time  0.235973
2021-09-15 23:32:18.688988 : Epoch  1, Batch    308, Loss  0.917591, Average Loss  1.085882, Time  0.239826
2021-09-15 23:32:20.108032 : Epoch  8, Batch    471, Loss  0.613774, Average Loss  0.602097, Time  0.235663
2021-09-15 23:32:20.700743 : Epoch  3, Batch   1377, Loss  0.864172, Average Loss  0.870296, Time  0.265226
2021-09-15 23:32:21.286380 : Epoch  1, Batch    309, Loss  0.934651, Average Loss  1.083351, Time  0.240449
2021-09-15 23:32:21.629645 : Epoch  8, Batch    472, Loss  0.604955, Average Loss  0.602057, Time  0.235697
2021-09-15 23:32:23.139394 : Epoch  8, Batch    473, Loss  0.594532, Average Loss  0.602018, Time  0.236322
2021-09-15 23:32:23.695083 : Epoch  3, Batch   1378, Loss  0.878652, Average Loss  0.870279, Time  0.265632
2021-09-15 23:32:23.893400 : Epoch  1, Batch    310, Loss  0.939669, Average Loss  1.080911, Time  0.240707
2021-09-15 23:32:24.653904 : Epoch  8, Batch    474, Loss  0.602488, Average Loss  0.601997, Time  0.235679
2021-09-15 23:32:26.179926 : Epoch  8, Batch    475, Loss  0.607122, Average Loss  0.602016, Time  0.236639
2021-09-15 23:32:26.486819 : Epoch  1, Batch    311, Loss  0.923985, Average Loss  1.078497, Time  0.240211
2021-09-15 23:32:26.810823 : Epoch  3, Batch   1379, Loss  0.871252, Average Loss  0.870428, Time  0.266279
2021-09-15 23:32:27.703856 : Epoch  8, Batch    476, Loss  0.613453, Average Loss  0.602069, Time  0.236526
2021-09-15 23:32:29.073909 : Epoch  1, Batch    312, Loss  0.920080, Average Loss  1.076109, Time  0.240880
2021-09-15 23:32:29.240018 : Epoch  8, Batch    477, Loss  0.601179, Average Loss  0.602066, Time  0.236071
2021-09-15 23:32:29.834581 : Epoch  3, Batch   1380, Loss  0.857545, Average Loss  0.870323, Time  0.266427
2021-09-15 23:32:30.751603 : Epoch  8, Batch    478, Loss  0.611620, Average Loss  0.602104, Time  0.236023
2021-09-15 23:32:31.677326 : Epoch  1, Batch    313, Loss  0.936245, Average Loss  1.073738, Time  0.239844
2021-09-15 23:32:32.270240 : Epoch  8, Batch    479, Loss  0.598994, Average Loss  0.602110, Time  0.235413
2021-09-15 23:32:32.845414 : Epoch  3, Batch   1381, Loss  0.855667, Average Loss  0.870205, Time  0.265137
2021-09-15 23:32:33.788542 : Epoch  8, Batch    480, Loss  0.611521, Average Loss  0.602176, Time  0.236027
2021-09-15 23:32:34.275191 : Epoch  1, Batch    314, Loss  0.927020, Average Loss  1.071428, Time  0.240203
2021-09-15 23:32:35.310386 : Epoch  8, Batch    481, Loss  0.597968, Average Loss  0.602117, Time  0.238602
2021-09-15 23:32:35.860153 : Epoch  3, Batch   1382, Loss  0.856572, Average Loss  0.870090, Time  0.266069
2021-09-15 23:32:36.834241 : Epoch  8, Batch    482, Loss  0.609827, Average Loss  0.602153, Time  0.235754
2021-09-15 23:32:36.868984 : Epoch  1, Batch    315, Loss  0.916329, Average Loss  1.068980, Time  0.240673
2021-09-15 23:32:38.354877 : Epoch  8, Batch    483, Loss  0.592416, Average Loss  0.602074, Time  0.236271
2021-09-15 23:32:38.920003 : Epoch  3, Batch   1383, Loss  0.867130, Average Loss  0.870061, Time  0.268883
2021-09-15 23:32:39.458953 : Epoch  1, Batch    316, Loss  0.920702, Average Loss  1.066604, Time  0.239903
2021-09-15 23:32:39.895026 : Epoch  8, Batch    484, Loss  0.596466, Average Loss  0.602088, Time  0.236314
2021-09-15 23:32:41.412129 : Epoch  8, Batch    485, Loss  0.591480, Average Loss  0.602078, Time  0.235867
2021-09-15 23:32:41.954527 : Epoch  3, Batch   1384, Loss  0.873818, Average Loss  0.870087, Time  0.266330
2021-09-15 23:32:42.063249 : Epoch  1, Batch    317, Loss  0.927984, Average Loss  1.064341, Time  0.240255
2021-09-15 23:32:42.951752 : Epoch  8, Batch    486, Loss  0.604672, Average Loss  0.602102, Time  0.236968
2021-09-15 23:32:44.485430 : Epoch  8, Batch    487, Loss  0.600762, Average Loss  0.602055, Time  0.235979
2021-09-15 23:32:44.657170 : Epoch  1, Batch    318, Loss  0.916962, Average Loss  1.061992, Time  0.242959
2021-09-15 23:32:44.969648 : Epoch  3, Batch   1385, Loss  0.883546, Average Loss  0.870053, Time  0.265835
2021-09-15 23:32:46.018900 : Epoch  8, Batch    488, Loss  0.608408, Average Loss  0.602065, Time  0.235875
2021-09-15 23:32:47.251379 : Epoch  1, Batch    319, Loss  0.931465, Average Loss  1.059788, Time  0.239827
2021-09-15 23:32:47.549847 : Epoch  8, Batch    489, Loss  0.613819, Average Loss  0.602015, Time  0.236092
2021-09-15 23:32:48.007911 : Epoch  3, Batch   1386, Loss  0.852508, Average Loss  0.870089, Time  0.267615
2021-09-15 23:32:49.069786 : Epoch  8, Batch    490, Loss  0.589037, Average Loss  0.601905, Time  0.236293
2021-09-15 23:32:49.849897 : Epoch  1, Batch    320, Loss  0.905054, Average Loss  1.057458, Time  0.240220
2021-09-15 23:32:51.030495 : Epoch  3, Batch   1387, Loss  0.848336, Average Loss  0.870019, Time  0.267347
2021-09-15 23:32:52.441215 : Epoch  1, Batch    321, Loss  0.905631, Average Loss  1.055199, Time  0.240508
2021-09-15 23:32:52.911642 : Epoch  8, Batch    491, Loss  0.606241, Average Loss  0.601922, Time  0.265617
2021-09-15 23:32:54.055516 : Epoch  3, Batch   1388, Loss  0.871368, Average Loss  0.869964, Time  0.266735
2021-09-15 23:32:55.024450 : Epoch  1, Batch    322, Loss  0.913406, Average Loss  1.052905, Time  0.239778
2021-09-15 23:32:57.624865 : Epoch  1, Batch    323, Loss  0.936799, Average Loss  1.050817, Time  0.240608
2021-09-15 23:33:00.227840 : Epoch  1, Batch    324, Loss  0.910102, Average Loss  1.048531, Time  0.240328
2021-09-15 23:33:02.835907 : Epoch  1, Batch    325, Loss  0.908253, Average Loss  1.046301, Time  0.240917
2021-09-15 23:33:05.453979 : Epoch  1, Batch    326, Loss  0.938110, Average Loss  1.044140, Time  0.240265
2021-09-15 23:33:08.056874 : Epoch  1, Batch    327, Loss  0.937993, Average Loss  1.042092, Time  0.240280
2021-09-15 23:33:10.669405 : Epoch  1, Batch    328, Loss  0.922977, Average Loss  1.039973, Time  0.239728
2021-09-15 23:33:13.277266 : Epoch  1, Batch    329, Loss  0.923543, Average Loss  1.037863, Time  0.239986
2021-09-15 23:33:15.878263 : Epoch  1, Batch    330, Loss  0.930239, Average Loss  1.035820, Time  0.241016
2021-09-15 23:33:18.474782 : Epoch  1, Batch    331, Loss  0.923418, Average Loss  1.033688, Time  0.240815
2021-09-15 23:33:21.084986 : Epoch  1, Batch    332, Loss  0.915967, Average Loss  1.031679, Time  0.240191
2021-09-15 23:33:23.701238 : Epoch  1, Batch    333, Loss  0.905547, Average Loss  1.029423, Time  0.243067
2021-09-15 23:33:26.317455 : Epoch  1, Batch    334, Loss  0.904399, Average Loss  1.027313, Time  0.241071
2021-09-15 23:33:28.928179 : Epoch  1, Batch    335, Loss  0.913924, Average Loss  1.025208, Time  0.241826
2021-09-15 23:33:31.532734 : Epoch  1, Batch    336, Loss  0.925746, Average Loss  1.023201, Time  0.240918
2021-09-15 23:33:34.130882 : Epoch  1, Batch    337, Loss  0.947871, Average Loss  1.021282, Time  0.240469
2021-09-15 23:33:36.731223 : Epoch  1, Batch    338, Loss  0.917577, Average Loss  1.019237, Time  0.240347
2021-09-15 23:33:39.342485 : Epoch  1, Batch    339, Loss  0.920227, Average Loss  1.017369, Time  0.240927
2021-09-15 23:33:41.940245 : Epoch  1, Batch    340, Loss  0.923265, Average Loss  1.015381, Time  0.241046
2021-09-15 23:33:44.538161 : Epoch  1, Batch    341, Loss  0.933671, Average Loss  1.013444, Time  0.240463
2021-09-15 23:33:47.134389 : Epoch  1, Batch    342, Loss  0.940329, Average Loss  1.011631, Time  0.240399
2021-09-15 23:33:49.742005 : Epoch  1, Batch    343, Loss  0.916570, Average Loss  1.009782, Time  0.240140
2021-09-15 23:33:49.847389 : CheckPoint: Validation Loss  0.00024841, Best Loss  0.00024058
2021-09-15 23:33:51.428192 : Epoch  8, Batch    492, Loss  0.599937, Average Loss  0.601937, Time  0.270809
2021-09-15 23:33:52.350979 : Epoch  1, Batch    344, Loss  0.938148, Average Loss  1.008010, Time  0.240043
2021-09-15 23:33:52.980037 : Epoch  8, Batch    493, Loss  0.607468, Average Loss  0.601978, Time  0.249915
2021-09-15 23:33:54.520076 : Epoch  8, Batch    494, Loss  0.607802, Average Loss  0.602025, Time  0.235850
2021-09-15 23:33:54.967414 : Epoch  1, Batch    345, Loss  0.916969, Average Loss  1.006218, Time  0.240117
2021-09-15 23:33:56.058243 : Epoch  8, Batch    495, Loss  0.598838, Average Loss  0.601948, Time  0.238373
2021-09-15 23:33:57.574190 : Epoch  1, Batch    346, Loss  0.909096, Average Loss  1.004384, Time  0.240724
2021-09-15 23:33:57.616002 : Epoch  8, Batch    496, Loss  0.621032, Average Loss  0.602061, Time  0.236162
2021-09-15 23:33:59.158417 : Epoch  8, Batch    497, Loss  0.609137, Average Loss  0.602096, Time  0.235896
2021-09-15 23:34:00.186404 : Epoch  1, Batch    347, Loss  0.898081, Average Loss  1.002543, Time  0.240023
2021-09-15 23:34:00.694631 : Epoch  8, Batch    498, Loss  0.595362, Average Loss  0.602047, Time  0.238936
2021-09-15 23:34:02.220605 : Epoch  8, Batch    499, Loss  0.591532, Average Loss  0.601935, Time  0.235866
2021-09-15 23:34:02.800404 : Epoch  1, Batch    348, Loss  0.929597, Average Loss  1.000855, Time  0.239821
2021-09-15 23:34:03.751091 : Epoch  8, Batch    500, Loss  0.598650, Average Loss  0.602016, Time  0.235664
2021-09-15 23:34:05.296374 : Epoch  8, Batch    501, Loss  0.596337, Average Loss  0.601971, Time  0.236421
2021-09-15 23:34:05.412424 : Epoch  1, Batch    349, Loss  0.939521, Average Loss  0.999297, Time  0.243288
2021-09-15 23:34:06.829796 : Epoch  8, Batch    502, Loss  0.609570, Average Loss  0.602012, Time  0.235705
2021-09-15 23:34:08.005065 : Epoch  1, Batch    350, Loss  0.900601, Average Loss  0.997509, Time  0.240266
2021-09-15 23:34:08.364463 : Epoch  8, Batch    503, Loss  0.601267, Average Loss  0.602045, Time  0.238467
2021-09-15 23:34:09.892494 : Epoch  8, Batch    504, Loss  0.602257, Average Loss  0.602046, Time  0.237032
2021-09-15 23:34:10.613080 : Epoch  1, Batch    351, Loss  0.932450, Average Loss  0.995948, Time  0.240331
2021-09-15 23:34:11.426053 : Epoch  8, Batch    505, Loss  0.596453, Average Loss  0.601931, Time  0.236555
2021-09-15 23:34:12.961640 : Epoch  8, Batch    506, Loss  0.608635, Average Loss  0.601912, Time  0.235811
2021-09-15 23:34:13.233415 : Epoch  1, Batch    352, Loss  0.947081, Average Loss  0.994541, Time  0.240762
2021-09-15 23:34:14.490075 : Epoch  8, Batch    507, Loss  0.601642, Average Loss  0.601933, Time  0.237174
2021-09-15 23:34:15.840060 : Epoch  1, Batch    353, Loss  0.917561, Average Loss  0.993051, Time  0.240100
2021-09-15 23:34:16.031170 : Epoch  8, Batch    508, Loss  0.601004, Average Loss  0.601986, Time  0.237293
2021-09-15 23:34:17.554584 : Epoch  8, Batch    509, Loss  0.597132, Average Loss  0.602002, Time  0.236229
2021-09-15 23:34:18.455839 : Epoch  1, Batch    354, Loss  0.922895, Average Loss  0.991583, Time  0.241341
2021-09-15 23:34:19.084251 : Epoch  8, Batch    510, Loss  0.607576, Average Loss  0.602060, Time  0.236032
2021-09-15 23:34:20.609643 : Epoch  8, Batch    511, Loss  0.597188, Average Loss  0.602058, Time  0.236107
2021-09-15 23:34:21.074399 : Epoch  1, Batch    355, Loss  0.903788, Average Loss  0.990004, Time  0.239866
2021-09-15 23:34:22.540935 : Epoch  8, Batch    512, Loss  0.610097, Average Loss  0.602093, Time  0.236319
2021-09-15 23:34:24.076104 : Epoch  8, Batch    513, Loss  0.608412, Average Loss  0.602133, Time  0.236194
2021-09-15 23:34:24.112246 : Epoch  1, Batch    356, Loss  0.908812, Average Loss  0.988555, Time  0.271089
2021-09-15 23:34:25.617136 : Epoch  8, Batch    514, Loss  0.612344, Average Loss  0.602228, Time  0.236358
2021-09-15 23:34:26.740750 : Epoch  1, Batch    357, Loss  0.884790, Average Loss  0.986998, Time  0.245794
2021-09-15 23:34:27.170212 : Epoch  8, Batch    515, Loss  0.599549, Average Loss  0.602192, Time  0.236156
2021-09-15 23:34:28.708432 : Epoch  8, Batch    516, Loss  0.593184, Average Loss  0.602125, Time  0.236267
2021-09-15 23:34:29.356208 : Epoch  1, Batch    358, Loss  0.919705, Average Loss  0.985653, Time  0.247037
2021-09-15 23:34:30.244440 : Epoch  8, Batch    517, Loss  0.610699, Average Loss  0.602212, Time  0.236515
2021-09-15 23:34:31.803040 : Epoch  8, Batch    518, Loss  0.603064, Average Loss  0.602235, Time  0.238747
2021-09-15 23:34:31.958622 : Epoch  1, Batch    359, Loss  0.929811, Average Loss  0.984367, Time  0.240791
2021-09-15 23:34:33.346275 : Epoch  8, Batch    519, Loss  0.594861, Average Loss  0.602195, Time  0.236815
2021-09-15 23:34:34.548047 : Epoch  1, Batch    360, Loss  0.924180, Average Loss  0.983054, Time  0.240691
2021-09-15 23:34:34.891847 : Epoch  8, Batch    520, Loss  0.606527, Average Loss  0.602192, Time  0.236579
2021-09-15 23:34:36.459448 : Epoch  8, Batch    521, Loss  0.602454, Average Loss  0.602204, Time  0.236882
2021-09-15 23:34:37.143794 : Epoch  1, Batch    361, Loss  0.906512, Average Loss  0.981666, Time  0.242163
2021-09-15 23:34:38.019653 : Epoch  8, Batch    522, Loss  0.600247, Average Loss  0.602220, Time  0.237577
2021-09-15 23:34:39.557632 : Epoch  8, Batch    523, Loss  0.602785, Average Loss  0.602202, Time  0.237689
2021-09-15 23:34:39.748776 : Epoch  1, Batch    362, Loss  0.904318, Average Loss  0.980407, Time  0.240526
2021-09-15 23:34:41.090547 : Epoch  8, Batch    524, Loss  0.615142, Average Loss  0.602253, Time  0.237931
2021-09-15 23:34:42.346895 : Epoch  1, Batch    363, Loss  0.911479, Average Loss  0.979226, Time  0.240102
2021-09-15 23:34:42.621017 : Epoch  8, Batch    525, Loss  0.599889, Average Loss  0.602254, Time  0.236655
2021-09-15 23:34:44.152694 : Epoch  8, Batch    526, Loss  0.613429, Average Loss  0.602327, Time  0.236218
2021-09-15 23:34:44.941035 : Epoch  1, Batch    364, Loss  0.917658, Average Loss  0.978133, Time  0.240562
2021-09-15 23:34:45.690272 : Epoch  8, Batch    527, Loss  0.606221, Average Loss  0.602353, Time  0.237774
2021-09-15 23:34:47.233479 : Epoch  8, Batch    528, Loss  0.592014, Average Loss  0.602238, Time  0.235923
2021-09-15 23:34:47.540964 : Epoch  1, Batch    365, Loss  0.927837, Average Loss  0.977144, Time  0.240232
2021-09-15 23:34:48.769093 : Epoch  8, Batch    529, Loss  0.594130, Average Loss  0.602239, Time  0.239391
2021-09-15 23:34:50.133405 : Epoch  1, Batch    366, Loss  0.911554, Average Loss  0.976044, Time  0.240143
2021-09-15 23:34:50.299225 : Epoch  8, Batch    530, Loss  0.600053, Average Loss  0.602222, Time  0.236304
2021-09-15 23:34:51.817718 : Epoch  8, Batch    531, Loss  0.588330, Average Loss  0.602124, Time  0.237078
2021-09-15 23:34:52.738289 : Epoch  1, Batch    367, Loss  0.927131, Average Loss  0.975039, Time  0.240335
2021-09-15 23:34:53.350782 : Epoch  8, Batch    532, Loss  0.604601, Average Loss  0.602124, Time  0.235958
2021-09-15 23:34:54.896061 : Epoch  8, Batch    533, Loss  0.607773, Average Loss  0.602085, Time  0.236121
2021-09-15 23:34:55.343402 : Epoch  1, Batch    368, Loss  0.902601, Average Loss  0.973896, Time  0.240294
2021-09-15 23:34:56.432499 : Epoch  8, Batch    534, Loss  0.607131, Average Loss  0.602120, Time  0.235952
2021-09-15 23:34:57.940966 : Epoch  1, Batch    369, Loss  0.921654, Average Loss  0.972860, Time  0.240235
2021-09-15 23:34:57.986638 : Epoch  8, Batch    535, Loss  0.608988, Average Loss  0.602121, Time  0.237207
2021-09-15 23:34:59.527061 : Epoch  8, Batch    536, Loss  0.611626, Average Loss  0.602162, Time  0.236116
2021-09-15 23:35:00.551397 : Epoch  1, Batch    370, Loss  0.911439, Average Loss  0.971834, Time  0.239869
2021-09-15 23:35:01.062423 : Epoch  8, Batch    537, Loss  0.605212, Average Loss  0.602130, Time  0.236393
2021-09-15 23:35:02.593255 : Epoch  8, Batch    538, Loss  0.608945, Average Loss  0.602205, Time  0.236817
2021-09-15 23:35:03.154222 : Epoch  1, Batch    371, Loss  0.932809, Average Loss  0.971010, Time  0.239958
2021-09-15 23:35:04.139420 : Epoch  8, Batch    539, Loss  0.600916, Average Loss  0.602200, Time  0.237072
2021-09-15 23:35:05.688122 : Epoch  8, Batch    540, Loss  0.608966, Average Loss  0.602225, Time  0.235967
2021-09-15 23:35:05.780041 : Epoch  1, Batch    372, Loss  0.910354, Average Loss  0.969957, Time  0.240244
2021-09-15 23:35:07.227102 : Epoch  8, Batch    541, Loss  0.601690, Average Loss  0.602214, Time  0.236362
2021-09-15 23:35:08.391981 : Epoch  1, Batch    373, Loss  0.925447, Average Loss  0.969060, Time  0.240944
2021-09-15 23:35:08.763092 : Epoch  8, Batch    542, Loss  0.610018, Average Loss  0.602327, Time  0.235945
2021-09-15 23:35:10.290402 : Epoch  8, Batch    543, Loss  0.607859, Average Loss  0.602388, Time  0.236142
2021-09-15 23:35:10.989432 : Epoch  1, Batch    374, Loss  0.910392, Average Loss  0.968138, Time  0.240241
2021-09-15 23:35:11.822973 : Epoch  8, Batch    544, Loss  0.611159, Average Loss  0.602425, Time  0.236001
2021-09-15 23:35:13.360431 : Epoch  8, Batch    545, Loss  0.619731, Average Loss  0.602481, Time  0.238021
2021-09-15 23:35:13.591254 : Epoch  1, Batch    375, Loss  0.917126, Average Loss  0.967197, Time  0.240231
2021-09-15 23:35:14.913705 : Epoch  8, Batch    546, Loss  0.603033, Average Loss  0.602470, Time  0.237510
2021-09-15 23:35:16.185017 : Epoch  1, Batch    376, Loss  0.902447, Average Loss  0.966146, Time  0.240501
2021-09-15 23:35:16.444177 : Epoch  8, Batch    547, Loss  0.604372, Average Loss  0.602456, Time  0.236261
2021-09-15 23:35:17.962882 : Epoch  8, Batch    548, Loss  0.604252, Average Loss  0.602502, Time  0.236545
2021-09-15 23:35:18.785400 : Epoch  1, Batch    377, Loss  0.902213, Average Loss  0.965116, Time  0.240649
2021-09-15 23:35:19.508852 : Epoch  8, Batch    549, Loss  0.602095, Average Loss  0.602500, Time  0.237714
2021-09-15 23:35:21.041205 : Epoch  8, Batch    550, Loss  0.603147, Average Loss  0.602581, Time  0.236437
2021-09-15 23:35:21.384303 : Epoch  1, Batch    378, Loss  0.909938, Average Loss  0.964285, Time  0.241285
2021-09-15 23:35:22.571987 : Epoch  8, Batch    551, Loss  0.605743, Average Loss  0.602610, Time  0.236625
2021-09-15 23:35:23.977374 : Epoch  1, Batch    379, Loss  0.900287, Average Loss  0.963348, Time  0.241418
2021-09-15 23:35:24.104987 : Epoch  8, Batch    552, Loss  0.591609, Average Loss  0.602558, Time  0.236225
2021-09-15 23:35:25.644411 : Epoch  8, Batch    553, Loss  0.600174, Average Loss  0.602515, Time  0.236352
2021-09-15 23:35:26.582406 : Epoch  1, Batch    380, Loss  0.928995, Average Loss  0.962623, Time  0.240251
2021-09-15 23:35:27.182345 : Epoch  8, Batch    554, Loss  0.601746, Average Loss  0.602506, Time  0.238642
2021-09-15 23:35:28.718169 : Epoch  8, Batch    555, Loss  0.610364, Average Loss  0.602539, Time  0.237161
2021-09-15 23:35:29.189303 : Epoch  1, Batch    381, Loss  0.918413, Average Loss  0.961773, Time  0.240958
2021-09-15 23:35:30.259907 : Epoch  8, Batch    556, Loss  0.615673, Average Loss  0.602649, Time  0.236178
2021-09-15 23:35:31.788091 : Epoch  8, Batch    557, Loss  0.595875, Average Loss  0.602606, Time  0.235922
2021-09-15 23:35:31.819789 : Epoch  1, Batch    382, Loss  0.933927, Average Loss  0.961083, Time  0.241550
2021-09-15 23:35:33.317774 : Epoch  8, Batch    558, Loss  0.596121, Average Loss  0.602588, Time  0.235918
2021-09-15 23:35:34.442176 : Epoch  1, Batch    383, Loss  0.928210, Average Loss  0.960425, Time  0.240291
2021-09-15 23:35:34.854192 : Epoch  8, Batch    559, Loss  0.593918, Average Loss  0.602495, Time  0.236395
2021-09-15 23:35:36.389844 : Epoch  8, Batch    560, Loss  0.611157, Average Loss  0.602556, Time  0.238817
2021-09-15 23:35:37.045090 : Epoch  1, Batch    384, Loss  0.907279, Average Loss  0.959542, Time  0.240221
2021-09-15 23:35:37.942111 : Epoch  8, Batch    561, Loss  0.605501, Average Loss  0.602549, Time  0.239235
2021-09-15 23:35:39.641993 : Epoch  1, Batch    385, Loss  0.911043, Average Loss  0.958701, Time  0.240471
2021-09-15 23:35:41.861565 : Epoch  8, Batch    562, Loss  0.614542, Average Loss  0.602621, Time  0.271354
2021-09-15 23:35:42.263620 : Epoch  1, Batch    386, Loss  0.912905, Average Loss  0.957890, Time  0.240170
2021-09-15 23:35:43.404449 : Epoch  8, Batch    563, Loss  0.598162, Average Loss  0.602607, Time  0.251693
2021-09-15 23:35:44.875625 : Epoch  1, Batch    387, Loss  0.914503, Average Loss  0.957097, Time  0.240121
2021-09-15 23:35:44.961061 : Epoch  8, Batch    564, Loss  0.606275, Average Loss  0.602629, Time  0.235797
2021-09-15 23:35:46.492460 : Epoch  8, Batch    565, Loss  0.601440, Average Loss  0.602620, Time  0.236100
2021-09-15 23:35:47.475398 : Epoch  1, Batch    388, Loss  0.932622, Average Loss  0.956327, Time  0.242906
2021-09-15 23:35:48.030835 : Epoch  8, Batch    566, Loss  0.590540, Average Loss  0.602572, Time  0.236268
2021-09-15 23:35:49.568894 : Epoch  8, Batch    567, Loss  0.606942, Average Loss  0.602589, Time  0.236030
2021-09-15 23:35:50.073828 : Epoch  1, Batch    389, Loss  0.915060, Average Loss  0.955492, Time  0.240080
2021-09-15 23:35:51.106054 : Epoch  8, Batch    568, Loss  0.602600, Average Loss  0.602609, Time  0.236763
2021-09-15 23:35:52.627959 : Epoch  8, Batch    569, Loss  0.597661, Average Loss  0.602533, Time  0.235852
2021-09-15 23:35:52.664123 : Epoch  1, Batch    390, Loss  0.908919, Average Loss  0.954625, Time  0.239969
2021-09-15 23:35:54.158418 : Epoch  8, Batch    570, Loss  0.606694, Average Loss  0.602581, Time  0.235703
2021-09-15 23:35:55.287097 : Epoch  1, Batch    391, Loss  0.934394, Average Loss  0.953880, Time  0.240084
2021-09-15 23:35:55.684961 : Epoch  8, Batch    571, Loss  0.601166, Average Loss  0.602605, Time  0.237004
2021-09-15 23:35:57.205993 : Epoch  8, Batch    572, Loss  0.597919, Average Loss  0.602596, Time  0.235883
2021-09-15 23:35:57.889423 : Epoch  1, Batch    392, Loss  0.932903, Average Loss  0.953178, Time  0.240583
2021-09-15 23:35:58.737926 : Epoch  8, Batch    573, Loss  0.597656, Average Loss  0.602606, Time  0.236104
2021-09-15 23:36:00.271378 : Epoch  8, Batch    574, Loss  0.610091, Average Loss  0.602706, Time  0.235791
2021-09-15 23:36:00.491907 : Epoch  1, Batch    393, Loss  0.894828, Average Loss  0.952416, Time  0.241039
2021-09-15 23:36:01.802437 : Epoch  8, Batch    575, Loss  0.594451, Average Loss  0.602586, Time  0.237459
2021-09-15 23:36:03.096632 : Epoch  1, Batch    394, Loss  0.920989, Average Loss  0.951510, Time  0.240197
2021-09-15 23:36:03.337396 : Epoch  8, Batch    576, Loss  0.599457, Average Loss  0.602567, Time  0.236503
2021-09-15 23:36:04.863394 : Epoch  8, Batch    577, Loss  0.599833, Average Loss  0.602598, Time  0.236365
2021-09-15 23:36:05.696057 : Epoch  1, Batch    395, Loss  0.928313, Average Loss  0.950926, Time  0.240663
2021-09-15 23:36:06.389082 : Epoch  8, Batch    578, Loss  0.599191, Average Loss  0.602592, Time  0.236566
2021-09-15 23:36:07.919787 : Epoch  8, Batch    579, Loss  0.605270, Average Loss  0.602621, Time  0.235665
2021-09-15 23:36:08.303406 : Epoch  1, Batch    396, Loss  0.912519, Average Loss  0.950174, Time  0.239807
2021-09-15 23:36:09.454425 : Epoch  8, Batch    580, Loss  0.587438, Average Loss  0.602525, Time  0.236911
2021-09-15 23:36:10.900404 : Epoch  1, Batch    397, Loss  0.913948, Average Loss  0.949448, Time  0.239930
2021-09-15 23:36:10.990300 : Epoch  8, Batch    581, Loss  0.592207, Average Loss  0.602429, Time  0.236687
2021-09-15 23:36:12.519107 : Epoch  8, Batch    582, Loss  0.602359, Average Loss  0.602421, Time  0.235911
2021-09-15 23:36:13.498223 : Epoch  1, Batch    398, Loss  0.930286, Average Loss  0.948864, Time  0.239947
2021-09-15 23:36:14.045033 : Epoch  8, Batch    583, Loss  0.601426, Average Loss  0.602365, Time  0.236428
2021-09-15 23:36:15.577207 : Epoch  8, Batch    584, Loss  0.607106, Average Loss  0.602424, Time  0.237367
2021-09-15 23:36:16.103825 : Epoch  1, Batch    399, Loss  0.919782, Average Loss  0.948330, Time  0.240127
2021-09-15 23:36:17.107407 : Epoch  8, Batch    585, Loss  0.596943, Average Loss  0.602376, Time  0.235818
2021-09-15 23:36:18.636597 : Epoch  8, Batch    586, Loss  0.595023, Average Loss  0.602333, Time  0.236560
2021-09-15 23:36:18.717810 : Epoch  1, Batch    400, Loss  0.891124, Average Loss  0.947596, Time  0.240092
2021-09-15 23:36:20.163318 : Epoch  8, Batch    587, Loss  0.604924, Average Loss  0.602258, Time  0.236117
2021-09-15 23:36:21.692962 : Epoch  8, Batch    588, Loss  0.603871, Average Loss  0.602259, Time  0.237065
2021-09-15 23:36:23.218954 : Epoch  8, Batch    589, Loss  0.600910, Average Loss  0.602277, Time  0.235863
2021-09-15 23:36:24.740351 : Epoch  8, Batch    590, Loss  0.614350, Average Loss  0.602365, Time  0.235996
2021-09-15 23:36:26.261984 : Epoch  8, Batch    591, Loss  0.594857, Average Loss  0.602341, Time  0.235935
2021-09-15 23:37:23.451371 : CheckPoint: Validation Loss  0.00025056, Best Loss  0.00024058
2021-09-15 23:37:25.029450 : Epoch  8, Batch    592, Loss  0.591590, Average Loss  0.602222, Time  0.269805
2021-09-15 23:37:26.565353 : Epoch  8, Batch    593, Loss  0.597436, Average Loss  0.602128, Time  0.235776
2021-09-15 23:37:28.109105 : Epoch  8, Batch    594, Loss  0.619631, Average Loss  0.602202, Time  0.237560
2021-09-15 23:37:29.654938 : Epoch  8, Batch    595, Loss  0.610524, Average Loss  0.602235, Time  0.238267
2021-09-15 23:37:31.185378 : Epoch  8, Batch    596, Loss  0.615865, Average Loss  0.602344, Time  0.237018
2021-09-15 23:37:32.734401 : Epoch  8, Batch    597, Loss  0.587507, Average Loss  0.602297, Time  0.238020
2021-09-15 23:37:34.280001 : Epoch  8, Batch    598, Loss  0.593739, Average Loss  0.602296, Time  0.236766
2021-09-15 23:37:34.729527 : CheckPoint: Validation Loss  0.00030656, Best Loss  0.00029379
2021-09-15 23:37:35.830184 : Epoch  8, Batch    599, Loss  0.608058, Average Loss  0.602352, Time  0.236311
2021-09-15 23:37:37.376842 : Epoch  8, Batch    600, Loss  0.607165, Average Loss  0.602383, Time  0.238414
2021-09-15 23:37:37.744155 : Epoch  3, Batch   1389, Loss  0.875951, Average Loss  0.869947, Time  0.274942
2021-09-15 23:37:38.912386 : Epoch  8, Batch    601, Loss  0.593867, Average Loss  0.602343, Time  0.236364
2021-09-15 23:37:40.457050 : Epoch  8, Batch    602, Loss  0.592217, Average Loss  0.602308, Time  0.236063
2021-09-15 23:37:40.719681 : Epoch  3, Batch   1390, Loss  0.841669, Average Loss  0.869826, Time  0.265640
2021-09-15 23:37:41.999930 : Epoch  8, Batch    603, Loss  0.608710, Average Loss  0.602299, Time  0.236271
2021-09-15 23:37:43.544900 : Epoch  8, Batch    604, Loss  0.594381, Average Loss  0.602304, Time  0.235987
2021-09-15 23:37:43.699853 : Epoch  3, Batch   1391, Loss  0.869636, Average Loss  0.869910, Time  0.265520
2021-09-15 23:37:45.081011 : Epoch  8, Batch    605, Loss  0.596185, Average Loss  0.602214, Time  0.236915
2021-09-15 23:37:46.626920 : Epoch  8, Batch    606, Loss  0.610512, Average Loss  0.602242, Time  0.235811
2021-09-15 23:37:46.701925 : Epoch  3, Batch   1392, Loss  0.874680, Average Loss  0.869791, Time  0.265162
2021-09-15 23:37:48.158171 : Epoch  8, Batch    607, Loss  0.611887, Average Loss  0.602284, Time  0.236107
2021-09-15 23:37:49.697718 : Epoch  8, Batch    608, Loss  0.599634, Average Loss  0.602280, Time  0.235728
2021-09-15 23:37:49.702283 : Epoch  3, Batch   1393, Loss  0.860662, Average Loss  0.869751, Time  0.265975
2021-09-15 23:37:51.230405 : Epoch  8, Batch    609, Loss  0.599747, Average Loss  0.602270, Time  0.236171
2021-09-15 23:37:52.747201 : Epoch  3, Batch   1394, Loss  0.886003, Average Loss  0.869813, Time  0.265369
2021-09-15 23:37:52.763376 : Epoch  8, Batch    610, Loss  0.609465, Average Loss  0.602276, Time  0.236621
2021-09-15 23:37:54.343406 : Epoch  8, Batch    611, Loss  0.599086, Average Loss  0.602233, Time  0.237084
2021-09-15 23:37:55.739840 : Epoch  3, Batch   1395, Loss  0.882346, Average Loss  0.869922, Time  0.264658
2021-09-15 23:37:55.884660 : Epoch  8, Batch    612, Loss  0.606580, Average Loss  0.602278, Time  0.237302
2021-09-15 23:37:57.410608 : Epoch  8, Batch    613, Loss  0.605702, Average Loss  0.602318, Time  0.236378
2021-09-15 23:37:58.738157 : Epoch  3, Batch   1396, Loss  0.877802, Average Loss  0.869938, Time  0.265203
2021-09-15 23:37:58.953167 : Epoch  8, Batch    614, Loss  0.613368, Average Loss  0.602401, Time  0.239277
2021-09-15 23:38:00.488469 : Epoch  8, Batch    615, Loss  0.593365, Average Loss  0.602346, Time  0.237856
2021-09-15 23:38:01.736233 : Epoch  3, Batch   1397, Loss  0.870125, Average Loss  0.869968, Time  0.265924
2021-09-15 23:38:02.026571 : Epoch  8, Batch    616, Loss  0.597736, Average Loss  0.602301, Time  0.236717
2021-09-15 23:38:03.571275 : Epoch  8, Batch    617, Loss  0.609594, Average Loss  0.602341, Time  0.236848
2021-09-15 23:38:04.738303 : Epoch  3, Batch   1398, Loss  0.884364, Average Loss  0.870027, Time  0.265680
2021-09-15 23:38:05.113040 : Epoch  8, Batch    618, Loss  0.598002, Average Loss  0.602332, Time  0.240541
2021-09-15 23:38:06.641198 : Epoch  8, Batch    619, Loss  0.597732, Average Loss  0.602334, Time  0.236822
2021-09-15 23:38:07.742395 : Epoch  3, Batch   1399, Loss  0.874544, Average Loss  0.870025, Time  0.265008
2021-09-15 23:38:08.188053 : Epoch  8, Batch    620, Loss  0.609580, Average Loss  0.602394, Time  0.236459
2021-09-15 23:38:09.724612 : Epoch  8, Batch    621, Loss  0.605788, Average Loss  0.602424, Time  0.235855
2021-09-15 23:38:10.744568 : Epoch  3, Batch   1400, Loss  0.882943, Average Loss  0.870130, Time  0.265582
2021-09-15 23:38:11.261332 : Epoch  8, Batch    622, Loss  0.596784, Average Loss  0.602387, Time  0.236085
2021-09-15 23:38:12.796146 : Epoch  8, Batch    623, Loss  0.608210, Average Loss  0.602393, Time  0.236450
2021-09-15 23:38:13.737918 : Epoch  3, Batch   1401, Loss  0.874042, Average Loss  0.870217, Time  0.267565
2021-09-15 23:38:14.324101 : Epoch  8, Batch    624, Loss  0.617134, Average Loss  0.602426, Time  0.235916
2021-09-15 23:38:15.864381 : Epoch  8, Batch    625, Loss  0.609461, Average Loss  0.602503, Time  0.235643
2021-09-15 23:38:16.753165 : Epoch  3, Batch   1402, Loss  0.857067, Average Loss  0.870090, Time  0.267346
2021-09-15 23:38:17.392893 : Epoch  8, Batch    626, Loss  0.606074, Average Loss  0.602587, Time  0.235825
2021-09-15 23:38:18.919960 : Epoch  8, Batch    627, Loss  0.609749, Average Loss  0.602580, Time  0.236036
2021-09-15 23:38:19.788125 : Epoch  3, Batch   1403, Loss  0.846141, Average Loss  0.869974, Time  0.276830
2021-09-15 23:38:20.465850 : Epoch  8, Batch    628, Loss  0.608775, Average Loss  0.602623, Time  0.238613
2021-09-15 23:38:21.998014 : Epoch  8, Batch    629, Loss  0.610558, Average Loss  0.602649, Time  0.236531
2021-09-15 23:38:22.805526 : Epoch  3, Batch   1404, Loss  0.865424, Average Loss  0.870031, Time  0.266219
2021-09-15 23:38:23.528849 : Epoch  8, Batch    630, Loss  0.602606, Average Loss  0.602627, Time  0.235879
2021-09-15 23:38:25.065100 : Epoch  8, Batch    631, Loss  0.596936, Average Loss  0.602607, Time  0.236690
2021-09-15 23:38:25.805424 : Epoch  3, Batch   1405, Loss  0.877267, Average Loss  0.870125, Time  0.266924
2021-09-15 23:38:26.591951 : Epoch  8, Batch    632, Loss  0.599593, Average Loss  0.602566, Time  0.236162
2021-09-15 23:38:28.120429 : Epoch  8, Batch    633, Loss  0.594164, Average Loss  0.602501, Time  0.235922
2021-09-15 23:38:28.801455 : Epoch  3, Batch   1406, Loss  0.849751, Average Loss  0.870072, Time  0.265233
2021-09-15 23:38:29.654883 : Epoch  8, Batch    634, Loss  0.590656, Average Loss  0.602480, Time  0.236866
2021-09-15 23:38:31.216616 : Epoch  8, Batch    635, Loss  0.595892, Average Loss  0.602441, Time  0.236758
2021-09-15 23:38:31.829519 : Epoch  3, Batch   1407, Loss  0.856624, Average Loss  0.870014, Time  0.266094
2021-09-15 23:38:32.744758 : Epoch  8, Batch    636, Loss  0.605997, Average Loss  0.602446, Time  0.237075
2021-09-15 23:38:34.275031 : Epoch  8, Batch    637, Loss  0.599472, Average Loss  0.602472, Time  0.236120
2021-09-15 23:38:34.844103 : Epoch  3, Batch   1408, Loss  0.854318, Average Loss  0.869881, Time  0.266318
2021-09-15 23:38:35.817642 : Epoch  8, Batch    638, Loss  0.597819, Average Loss  0.602441, Time  0.236879
2021-09-15 23:38:37.351658 : Epoch  8, Batch    639, Loss  0.593911, Average Loss  0.602404, Time  0.236826
2021-09-15 23:38:37.858034 : Epoch  3, Batch   1409, Loss  0.868094, Average Loss  0.869764, Time  0.265440
2021-09-15 23:38:38.883208 : Epoch  8, Batch    640, Loss  0.594378, Average Loss  0.602427, Time  0.237639
2021-09-15 23:38:40.418442 : Epoch  8, Batch    641, Loss  0.591669, Average Loss  0.602353, Time  0.236162
2021-09-15 23:38:40.845175 : Epoch  3, Batch   1410, Loss  0.864302, Average Loss  0.869717, Time  0.265368
2021-09-15 23:38:41.968389 : Epoch  8, Batch    642, Loss  0.588013, Average Loss  0.602339, Time  0.235922
2021-09-15 23:38:43.496991 : Epoch  8, Batch    643, Loss  0.594492, Average Loss  0.602329, Time  0.236341
2021-09-15 23:38:43.828497 : Epoch  3, Batch   1411, Loss  0.888465, Average Loss  0.869860, Time  0.265792
2021-09-15 23:38:45.028861 : Epoch  8, Batch    644, Loss  0.603608, Average Loss  0.602341, Time  0.235816
2021-09-15 23:38:46.556389 : Epoch  8, Batch    645, Loss  0.588403, Average Loss  0.602380, Time  0.236580
2021-09-15 23:38:46.797435 : Epoch  3, Batch   1412, Loss  0.860327, Average Loss  0.869827, Time  0.265815
2021-09-15 23:38:48.090094 : Epoch  8, Batch    646, Loss  0.599061, Average Loss  0.602416, Time  0.236183
2021-09-15 23:38:49.628433 : Epoch  8, Batch    647, Loss  0.588929, Average Loss  0.602326, Time  0.236451
2021-09-15 23:38:49.786382 : Epoch  3, Batch   1413, Loss  0.894262, Average Loss  0.869882, Time  0.265103
2021-09-15 23:38:51.169402 : Epoch  8, Batch    648, Loss  0.605149, Average Loss  0.602369, Time  0.236404
2021-09-15 23:38:52.706651 : Epoch  8, Batch    649, Loss  0.593377, Average Loss  0.602338, Time  0.236838
2021-09-15 23:38:52.757918 : Epoch  3, Batch   1414, Loss  0.855713, Average Loss  0.869722, Time  0.265334
2021-09-15 23:38:54.247179 : Epoch  8, Batch    650, Loss  0.596257, Average Loss  0.602368, Time  0.236327
2021-09-15 23:38:55.736792 : Epoch  3, Batch   1415, Loss  0.885764, Average Loss  0.869869, Time  0.265515
2021-09-15 23:38:55.776467 : Epoch  8, Batch    651, Loss  0.602528, Average Loss  0.602381, Time  0.235996
2021-09-15 23:38:57.294886 : Epoch  8, Batch    652, Loss  0.606949, Average Loss  0.602370, Time  0.236439
2021-09-15 23:38:58.742974 : Epoch  3, Batch   1416, Loss  0.871976, Average Loss  0.869885, Time  0.267077
2021-09-15 23:38:58.830058 : Epoch  8, Batch    653, Loss  0.593877, Average Loss  0.602339, Time  0.236743
2021-09-15 23:39:00.371471 : Epoch  8, Batch    654, Loss  0.602183, Average Loss  0.602275, Time  0.235622
2021-09-15 23:39:01.777474 : Epoch  3, Batch   1417, Loss  0.867097, Average Loss  0.870005, Time  0.266425
2021-09-15 23:39:01.911922 : Epoch  8, Batch    655, Loss  0.597379, Average Loss  0.602243, Time  0.236248
2021-09-15 23:39:03.425575 : Epoch  8, Batch    656, Loss  0.594613, Average Loss  0.602282, Time  0.236161
2021-09-15 23:39:04.775952 : Epoch  3, Batch   1418, Loss  0.871964, Average Loss  0.870038, Time  0.275370
2021-09-15 23:39:04.957703 : Epoch  8, Batch    657, Loss  0.588063, Average Loss  0.602242, Time  0.236026
2021-09-15 23:39:06.472242 : Epoch  8, Batch    658, Loss  0.611081, Average Loss  0.602237, Time  0.236346
2021-09-15 23:39:07.757390 : Epoch  3, Batch   1419, Loss  0.866083, Average Loss  0.870026, Time  0.265544
2021-09-15 23:39:08.005691 : Epoch  8, Batch    659, Loss  0.599789, Average Loss  0.602243, Time  0.236844
2021-09-15 23:39:09.522138 : Epoch  8, Batch    660, Loss  0.604071, Average Loss  0.602213, Time  0.236944
2021-09-15 23:39:10.775772 : Epoch  3, Batch   1420, Loss  0.865838, Average Loss  0.869948, Time  0.267008
2021-09-15 23:39:11.057424 : Epoch  8, Batch    661, Loss  0.597459, Average Loss  0.602125, Time  0.236063
2021-09-15 23:39:13.787822 : Epoch  3, Batch   1421, Loss  0.900596, Average Loss  0.870089, Time  0.266074
2021-09-15 23:39:14.950704 : Epoch  8, Batch    662, Loss  0.599410, Average Loss  0.602121, Time  0.272640
2021-09-15 23:39:16.500020 : Epoch  8, Batch    663, Loss  0.599894, Average Loss  0.602158, Time  0.253034
2021-09-15 23:39:16.796956 : Epoch  3, Batch   1422, Loss  0.865389, Average Loss  0.870031, Time  0.267872
2021-09-15 23:39:18.035439 : Epoch  8, Batch    664, Loss  0.597318, Average Loss  0.602084, Time  0.240961
2021-09-15 23:39:19.578020 : Epoch  8, Batch    665, Loss  0.610898, Average Loss  0.602181, Time  0.237184
2021-09-15 23:39:19.778915 : Epoch  3, Batch   1423, Loss  0.874602, Average Loss  0.870002, Time  0.265269
2021-09-15 23:39:21.108091 : Epoch  8, Batch    666, Loss  0.595961, Average Loss  0.602163, Time  0.236630
2021-09-15 23:39:22.645350 : Epoch  8, Batch    667, Loss  0.599130, Average Loss  0.602170, Time  0.236320
2021-09-15 23:39:22.761186 : Epoch  3, Batch   1424, Loss  0.874899, Average Loss  0.870075, Time  0.265840
2021-09-15 23:39:24.176186 : Epoch  8, Batch    668, Loss  0.595964, Average Loss  0.602140, Time  0.236814
2021-09-15 23:39:25.704694 : Epoch  8, Batch    669, Loss  0.604581, Average Loss  0.602183, Time  0.236345
2021-09-15 23:39:25.738381 : Epoch  3, Batch   1425, Loss  0.893296, Average Loss  0.870389, Time  0.265537
2021-09-15 23:39:27.247892 : Epoch  8, Batch    670, Loss  0.597101, Average Loss  0.602169, Time  0.238317
2021-09-15 23:39:28.733710 : Epoch  3, Batch   1426, Loss  0.859346, Average Loss  0.870305, Time  0.265620
2021-09-15 23:39:28.809435 : Epoch  8, Batch    671, Loss  0.606364, Average Loss  0.602132, Time  0.241943
2021-09-15 23:39:30.348280 : Epoch  8, Batch    672, Loss  0.615201, Average Loss  0.602183, Time  0.236633
2021-09-15 23:39:31.731182 : Epoch  3, Batch   1427, Loss  0.878907, Average Loss  0.870369, Time  0.266148
2021-09-15 23:39:31.889179 : Epoch  8, Batch    673, Loss  0.595244, Average Loss  0.602186, Time  0.241015
2021-09-15 23:39:33.417744 : Epoch  8, Batch    674, Loss  0.603682, Average Loss  0.602192, Time  0.236334
2021-09-15 23:39:34.724558 : Epoch  3, Batch   1428, Loss  0.869280, Average Loss  0.870452, Time  0.265216
2021-09-15 23:39:34.948390 : Epoch  8, Batch    675, Loss  0.592009, Average Loss  0.602117, Time  0.237179
2021-09-15 23:39:36.473342 : Epoch  8, Batch    676, Loss  0.603401, Average Loss  0.602066, Time  0.236264
2021-09-15 23:39:37.722365 : Epoch  3, Batch   1429, Loss  0.896228, Average Loss  0.870581, Time  0.265585
2021-09-15 23:39:37.998144 : Epoch  8, Batch    677, Loss  0.594566, Average Loss  0.602033, Time  0.236551
2021-09-15 23:39:39.520974 : Epoch  8, Batch    678, Loss  0.614739, Average Loss  0.602049, Time  0.236229
2021-09-15 23:39:40.732503 : Epoch  3, Batch   1430, Loss  0.863718, Average Loss  0.870572, Time  0.265249
2021-09-15 23:39:41.048107 : Epoch  8, Batch    679, Loss  0.603865, Average Loss  0.602073, Time  0.237027
2021-09-15 23:39:42.572258 : Epoch  8, Batch    680, Loss  0.599076, Average Loss  0.602011, Time  0.236503
2021-09-15 23:39:43.744781 : Epoch  3, Batch   1431, Loss  0.852571, Average Loss  0.870380, Time  0.265662
2021-09-15 23:39:44.106183 : Epoch  8, Batch    681, Loss  0.608801, Average Loss  0.602065, Time  0.236782
2021-09-15 23:39:45.629923 : Epoch  8, Batch    682, Loss  0.583854, Average Loss  0.601935, Time  0.236348
2021-09-15 23:39:46.757103 : Epoch  3, Batch   1432, Loss  0.854676, Average Loss  0.870241, Time  0.265771
2021-09-15 23:39:47.169406 : Epoch  8, Batch    683, Loss  0.607073, Average Loss  0.602009, Time  0.236430
2021-09-15 23:39:48.708653 : Epoch  8, Batch    684, Loss  0.606585, Average Loss  0.602059, Time  0.240127
2021-09-15 23:39:49.761665 : Epoch  3, Batch   1433, Loss  0.878911, Average Loss  0.870237, Time  0.273374
2021-09-15 23:39:50.253913 : Epoch  8, Batch    685, Loss  0.605993, Average Loss  0.602132, Time  0.239333
2021-09-15 23:39:51.779029 : Epoch  8, Batch    686, Loss  0.608069, Average Loss  0.602149, Time  0.236047
2021-09-15 23:39:52.767634 : Epoch  3, Batch   1434, Loss  0.860084, Average Loss  0.870127, Time  0.265980
2021-09-15 23:39:53.313073 : Epoch  8, Batch    687, Loss  0.615592, Average Loss  0.602223, Time  0.236404
2021-09-15 23:39:54.843069 : Epoch  8, Batch    688, Loss  0.601860, Average Loss  0.602190, Time  0.236038
2021-09-15 23:39:55.751040 : Epoch  3, Batch   1435, Loss  0.881436, Average Loss  0.870100, Time  0.265893
2021-09-15 23:39:56.373394 : Epoch  8, Batch    689, Loss  0.594547, Average Loss  0.602094, Time  0.236434
2021-09-15 23:39:57.914413 : Epoch  8, Batch    690, Loss  0.600312, Average Loss  0.602150, Time  0.235960
2021-09-15 23:39:58.738655 : Epoch  3, Batch   1436, Loss  0.860985, Average Loss  0.870054, Time  0.266862
2021-09-15 23:39:59.451324 : Epoch  8, Batch    691, Loss  0.610907, Average Loss  0.602174, Time  0.236029
2021-09-15 23:40:01.762975 : Epoch  3, Batch   1437, Loss  0.872861, Average Loss  0.870135, Time  0.264829
2021-09-15 23:40:04.762109 : Epoch  3, Batch   1438, Loss  0.880797, Average Loss  0.870213, Time  0.266191
2021-09-15 23:40:07.800259 : Epoch  3, Batch   1439, Loss  0.869844, Average Loss  0.870233, Time  0.265149
2021-09-15 23:40:10.784349 : Epoch  3, Batch   1440, Loss  0.867130, Average Loss  0.870088, Time  0.265137
2021-09-15 23:40:13.779447 : Epoch  3, Batch   1441, Loss  0.850041, Average Loss  0.870045, Time  0.265390
2021-09-15 23:40:16.778491 : Epoch  3, Batch   1442, Loss  0.848793, Average Loss  0.869921, Time  0.266758
2021-09-15 23:40:19.774940 : Epoch  3, Batch   1443, Loss  0.889653, Average Loss  0.870100, Time  0.265904
2021-09-15 23:40:22.790671 : Epoch  3, Batch   1444, Loss  0.849861, Average Loss  0.870004, Time  0.266597
2021-09-15 23:40:22.817766 : CheckPoint: Validation Loss  0.00030599, Best Loss  0.00030599
2021-09-15 23:40:22.862571 : Best Model Updated
2021-09-15 23:40:25.833369 : Epoch  3, Batch   1445, Loss  0.898483, Average Loss  0.870203, Time  0.266870
2021-09-15 23:40:26.237112 : Epoch  1, Batch    401, Loss  0.897815, Average Loss  0.946780, Time  0.276977
2021-09-15 23:40:28.850539 : Epoch  3, Batch   1446, Loss  0.860570, Average Loss  0.870189, Time  0.265727
2021-09-15 23:40:28.861023 : Epoch  1, Batch    402, Loss  0.940038, Average Loss  0.946231, Time  0.261680
2021-09-15 23:40:31.504526 : Epoch  1, Batch    403, Loss  0.903261, Average Loss  0.945493, Time  0.245264
2021-09-15 23:40:31.848286 : Epoch  3, Batch   1447, Loss  0.870968, Average Loss  0.870227, Time  0.265593
2021-09-15 23:40:34.114399 : Epoch  1, Batch    404, Loss  0.917942, Average Loss  0.944882, Time  0.239987
2021-09-15 23:40:34.861685 : Epoch  3, Batch   1448, Loss  0.855879, Average Loss  0.870204, Time  0.275843
2021-09-15 23:40:36.727361 : Epoch  1, Batch    405, Loss  0.906612, Average Loss  0.944244, Time  0.243289
2021-09-15 23:40:37.871133 : Epoch  3, Batch   1449, Loss  0.864332, Average Loss  0.870233, Time  0.266043
2021-09-15 23:40:39.338370 : Epoch  1, Batch    406, Loss  0.906702, Average Loss  0.943555, Time  0.240548
2021-09-15 23:40:40.859441 : Epoch  3, Batch   1450, Loss  0.868200, Average Loss  0.870214, Time  0.265020
2021-09-15 23:40:41.937779 : Epoch  1, Batch    407, Loss  0.894582, Average Loss  0.942737, Time  0.240589
2021-09-15 23:40:43.872171 : Epoch  3, Batch   1451, Loss  0.858552, Average Loss  0.870168, Time  0.265244
2021-09-15 23:40:44.545273 : Epoch  1, Batch    408, Loss  0.925206, Average Loss  0.942079, Time  0.240150
2021-09-15 23:40:46.872332 : Epoch  3, Batch   1452, Loss  0.874439, Average Loss  0.870270, Time  0.265635
2021-09-15 23:40:47.151574 : Epoch  1, Batch    409, Loss  0.885057, Average Loss  0.941140, Time  0.240322
2021-09-15 23:40:49.757890 : Epoch  1, Batch    410, Loss  0.913893, Average Loss  0.940508, Time  0.240814
2021-09-15 23:40:49.891539 : Epoch  3, Batch   1453, Loss  0.874146, Average Loss  0.870248, Time  0.265883
2021-09-15 23:40:52.368262 : Epoch  1, Batch    411, Loss  0.923975, Average Loss  0.940027, Time  0.240254
2021-09-15 23:40:52.894939 : Epoch  3, Batch   1454, Loss  0.868599, Average Loss  0.870113, Time  0.265975
2021-09-15 23:40:54.973712 : Epoch  1, Batch    412, Loss  0.914080, Average Loss  0.939408, Time  0.242974
2021-09-15 23:40:55.924308 : Epoch  3, Batch   1455, Loss  0.838108, Average Loss  0.869946, Time  0.265743
2021-09-15 23:40:56.735996 : CheckPoint: Validation Loss  0.00025102, Best Loss  0.00024058
2021-09-15 23:40:57.578180 : Epoch  1, Batch    413, Loss  0.906582, Average Loss  0.938783, Time  0.240070
2021-09-15 23:40:58.279257 : Epoch  8, Batch    692, Loss  0.601995, Average Loss  0.602184, Time  0.237009
2021-09-15 23:40:58.948349 : Epoch  3, Batch   1456, Loss  0.874179, Average Loss  0.869887, Time  0.264940
2021-09-15 23:40:59.815587 : Epoch  8, Batch    693, Loss  0.600846, Average Loss  0.602151, Time  0.236633
2021-09-15 23:41:00.185235 : Epoch  1, Batch    414, Loss  0.916762, Average Loss  0.938266, Time  0.241674
2021-09-15 23:41:01.354382 : Epoch  8, Batch    694, Loss  0.598114, Average Loss  0.602102, Time  0.236444
2021-09-15 23:41:01.940533 : Epoch  3, Batch   1457, Loss  0.879878, Average Loss  0.869997, Time  0.266022
2021-09-15 23:41:02.779517 : Epoch  1, Batch    415, Loss  0.927885, Average Loss  0.937955, Time  0.240931
2021-09-15 23:41:02.901192 : Epoch  8, Batch    695, Loss  0.596878, Average Loss  0.602093, Time  0.237726
2021-09-15 23:41:04.440210 : Epoch  8, Batch    696, Loss  0.605825, Average Loss  0.602017, Time  0.236835
2021-09-15 23:41:04.978089 : Epoch  3, Batch   1458, Loss  0.888107, Average Loss  0.870097, Time  0.266809
2021-09-15 23:41:05.387436 : Epoch  1, Batch    416, Loss  0.921129, Average Loss  0.937404, Time  0.241014
2021-09-15 23:41:05.976606 : Epoch  8, Batch    697, Loss  0.600831, Average Loss  0.601975, Time  0.236951
2021-09-15 23:41:07.518290 : Epoch  8, Batch    698, Loss  0.602359, Average Loss  0.602010, Time  0.237376
2021-09-15 23:41:07.979064 : Epoch  1, Batch    417, Loss  0.913732, Average Loss  0.936832, Time  0.240188
2021-09-15 23:41:07.994302 : Epoch  3, Batch   1459, Loss  0.868929, Average Loss  0.870189, Time  0.267030
2021-09-15 23:41:09.062606 : Epoch  8, Batch    699, Loss  0.609507, Average Loss  0.602100, Time  0.236459
2021-09-15 23:41:10.575732 : Epoch  1, Batch    418, Loss  0.900757, Average Loss  0.936211, Time  0.242111
2021-09-15 23:41:10.609380 : Epoch  8, Batch    700, Loss  0.602560, Average Loss  0.602119, Time  0.236531
2021-09-15 23:41:10.998986 : Epoch  3, Batch   1460, Loss  0.861866, Average Loss  0.870087, Time  0.266572
2021-09-15 23:41:12.148001 : Epoch  8, Batch    701, Loss  0.606547, Average Loss  0.602170, Time  0.236322
2021-09-15 23:41:13.187819 : Epoch  1, Batch    419, Loss  0.903628, Average Loss  0.935659, Time  0.245077
2021-09-15 23:41:13.685420 : Epoch  8, Batch    702, Loss  0.592511, Average Loss  0.602085, Time  0.235698
2021-09-15 23:41:14.017398 : Epoch  3, Batch   1461, Loss  0.858827, Average Loss  0.870013, Time  0.266480
2021-09-15 23:41:15.220716 : Epoch  8, Batch    703, Loss  0.598855, Average Loss  0.602073, Time  0.235966
2021-09-15 23:41:15.792882 : Epoch  1, Batch    420, Loss  0.913466, Average Loss  0.935188, Time  0.240377
2021-09-15 23:41:16.760597 : Epoch  8, Batch    704, Loss  0.607060, Average Loss  0.602097, Time  0.235854
2021-09-15 23:41:17.068524 : Epoch  3, Batch   1462, Loss  0.859742, Average Loss  0.870060, Time  0.268716
2021-09-15 23:41:18.297452 : Epoch  8, Batch    705, Loss  0.617097, Average Loss  0.602200, Time  0.235800
2021-09-15 23:41:18.398917 : Epoch  1, Batch    421, Loss  0.901981, Average Loss  0.934671, Time  0.240272
2021-09-15 23:41:19.843372 : Epoch  8, Batch    706, Loss  0.605465, Average Loss  0.602184, Time  0.235712
2021-09-15 23:41:20.091363 : Epoch  3, Batch   1463, Loss  0.861164, Average Loss  0.869956, Time  0.277412
2021-09-15 23:41:20.999751 : Epoch  1, Batch    422, Loss  0.902960, Average Loss  0.934137, Time  0.240458
2021-09-15 23:41:21.374454 : Epoch  8, Batch    707, Loss  0.611156, Average Loss  0.602232, Time  0.235978
2021-09-15 23:41:22.905427 : Epoch  8, Batch    708, Loss  0.587127, Average Loss  0.602163, Time  0.236010
2021-09-15 23:41:23.108808 : Epoch  3, Batch   1464, Loss  0.876051, Average Loss  0.870009, Time  0.266085
2021-09-15 23:41:23.602385 : Epoch  1, Batch    423, Loss  0.901644, Average Loss  0.933626, Time  0.240546
2021-09-15 23:41:24.446142 : Epoch  8, Batch    709, Loss  0.599288, Average Loss  0.602173, Time  0.236639
2021-09-15 23:41:25.986390 : Epoch  8, Batch    710, Loss  0.602402, Average Loss  0.602148, Time  0.236091
2021-09-15 23:41:26.095971 : Epoch  3, Batch   1465, Loss  0.864450, Average Loss  0.870035, Time  0.265727
2021-09-15 23:41:26.261966 : Epoch  1, Batch    424, Loss  0.892997, Average Loss  0.933141, Time  0.240335
2021-09-15 23:41:27.537381 : Epoch  8, Batch    711, Loss  0.613882, Average Loss  0.602231, Time  0.236440
2021-09-15 23:41:28.869897 : Epoch  1, Batch    425, Loss  0.905031, Average Loss  0.932584, Time  0.240432
2021-09-15 23:41:29.067407 : Epoch  8, Batch    712, Loss  0.602829, Average Loss  0.602195, Time  0.235806
2021-09-15 23:41:29.118557 : Epoch  3, Batch   1466, Loss  0.878146, Average Loss  0.870021, Time  0.265921
2021-09-15 23:41:30.619284 : Epoch  8, Batch    713, Loss  0.616578, Average Loss  0.602236, Time  0.236456
2021-09-15 23:41:31.478493 : Epoch  1, Batch    426, Loss  0.896329, Average Loss  0.932021, Time  0.239846
2021-09-15 23:41:32.152051 : Epoch  8, Batch    714, Loss  0.604369, Average Loss  0.602196, Time  0.239944
2021-09-15 23:41:33.719098 : Epoch  8, Batch    715, Loss  0.594141, Average Loss  0.602169, Time  0.236375
2021-09-15 23:41:34.085086 : Epoch  1, Batch    427, Loss  0.891820, Average Loss  0.931527, Time  0.240340
2021-09-15 23:41:35.136795 : Epoch  3, Batch   1468, Loss  0.884177, Average Loss  0.870114, Time  0.265018
2021-09-15 23:41:35.269992 : Epoch  8, Batch    716, Loss  0.612400, Average Loss  0.602265, Time  0.237271
2021-09-15 23:41:36.684399 : Epoch  1, Batch    428, Loss  0.924897, Average Loss  0.931190, Time  0.240611
2021-09-15 23:41:36.807035 : Epoch  8, Batch    717, Loss  0.588997, Average Loss  0.602156, Time  0.237777
2021-09-15 23:41:38.126506 : Epoch  3, Batch   1469, Loss  0.893055, Average Loss  0.870309, Time  0.266420
2021-09-15 23:41:38.344404 : Epoch  8, Batch    718, Loss  0.600197, Average Loss  0.602142, Time  0.236236
2021-09-15 23:41:39.285950 : Epoch  1, Batch    429, Loss  0.914374, Average Loss  0.930898, Time  0.240644
2021-09-15 23:41:39.869619 : Epoch  8, Batch    719, Loss  0.615780, Average Loss  0.602246, Time  0.235875
2021-09-15 23:41:41.120712 : Epoch  3, Batch   1470, Loss  0.849460, Average Loss  0.870124, Time  0.265370
2021-09-15 23:41:41.419974 : Epoch  8, Batch    720, Loss  0.609013, Average Loss  0.602259, Time  0.236084
2021-09-15 23:41:41.898910 : Epoch  1, Batch    430, Loss  0.911997, Average Loss  0.930489, Time  0.240212
2021-09-15 23:41:42.953282 : Epoch  8, Batch    721, Loss  0.602242, Average Loss  0.602258, Time  0.236228
2021-09-15 23:41:44.107830 : Epoch  3, Batch   1471, Loss  0.887117, Average Loss  0.870137, Time  0.267386
2021-09-15 23:41:44.490127 : Epoch  1, Batch    431, Loss  0.921980, Average Loss  0.930100, Time  0.240454
2021-09-15 23:41:44.516948 : Epoch  8, Batch    722, Loss  0.590607, Average Loss  0.602210, Time  0.236922
2021-09-15 23:41:46.061458 : Epoch  8, Batch    723, Loss  0.602706, Average Loss  0.602209, Time  0.235843
2021-09-15 23:41:47.079980 : Epoch  1, Batch    432, Loss  0.895426, Average Loss  0.929695, Time  0.241392
2021-09-15 23:41:47.110707 : Epoch  3, Batch   1472, Loss  0.872672, Average Loss  0.870091, Time  0.267437
2021-09-15 23:41:47.597424 : Epoch  8, Batch    724, Loss  0.596337, Average Loss  0.602115, Time  0.236150
2021-09-15 23:41:49.127902 : Epoch  8, Batch    725, Loss  0.598339, Average Loss  0.602107, Time  0.239023
2021-09-15 23:41:49.689462 : Epoch  1, Batch    433, Loss  0.909427, Average Loss  0.929393, Time  0.240136
2021-09-15 23:41:50.108783 : Epoch  3, Batch   1473, Loss  0.864505, Average Loss  0.870054, Time  0.265204
2021-09-15 23:41:50.669061 : Epoch  8, Batch    726, Loss  0.605787, Average Loss  0.602069, Time  0.237190
2021-09-15 23:41:52.208393 : Epoch  8, Batch    727, Loss  0.595786, Average Loss  0.602017, Time  0.236341
2021-09-15 23:41:52.298188 : Epoch  1, Batch    434, Loss  0.911084, Average Loss  0.928951, Time  0.239833
2021-09-15 23:41:53.077221 : Epoch  3, Batch   1474, Loss  0.853489, Average Loss  0.869923, Time  0.265180
2021-09-15 23:41:53.749172 : Epoch  8, Batch    728, Loss  0.601673, Average Loss  0.602065, Time  0.239027
2021-09-15 23:41:54.905888 : Epoch  1, Batch    435, Loss  0.914626, Average Loss  0.928683, Time  0.240220
2021-09-15 23:41:55.286324 : Epoch  8, Batch    729, Loss  0.607852, Average Loss  0.602134, Time  0.237807
2021-09-15 23:41:56.076009 : Epoch  3, Batch   1475, Loss  0.857803, Average Loss  0.869888, Time  0.265262
2021-09-15 23:41:56.819325 : Epoch  8, Batch    730, Loss  0.601314, Average Loss  0.602140, Time  0.236706
2021-09-15 23:41:57.509247 : Epoch  1, Batch    436, Loss  0.894935, Average Loss  0.928246, Time  0.239918
2021-09-15 23:41:58.353036 : Epoch  8, Batch    731, Loss  0.595738, Average Loss  0.602177, Time  0.236631
2021-09-15 23:41:59.073509 : Epoch  3, Batch   1476, Loss  0.865959, Average Loss  0.869854, Time  0.265663
2021-09-15 23:41:59.892659 : Epoch  8, Batch    732, Loss  0.596463, Average Loss  0.602137, Time  0.239212
2021-09-15 23:42:00.115995 : Epoch  1, Batch    437, Loss  0.904922, Average Loss  0.927900, Time  0.240132
2021-09-15 23:42:01.426056 : Epoch  8, Batch    733, Loss  0.593112, Average Loss  0.602063, Time  0.236192
2021-09-15 23:42:02.099730 : Epoch  3, Batch   1477, Loss  0.843559, Average Loss  0.869720, Time  0.268394
2021-09-15 23:42:02.720342 : Epoch  1, Batch    438, Loss  0.907787, Average Loss  0.927563, Time  0.242091
2021-09-15 23:42:02.967920 : Epoch  8, Batch    734, Loss  0.597387, Average Loss  0.602015, Time  0.237054
2021-09-15 23:42:04.507097 : Epoch  8, Batch    735, Loss  0.597371, Average Loss  0.601957, Time  0.236474
2021-09-15 23:42:05.120277 : Epoch  3, Batch   1478, Loss  0.848689, Average Loss  0.869582, Time  0.274608
2021-09-15 23:42:05.332055 : Epoch  1, Batch    439, Loss  0.901197, Average Loss  0.927323, Time  0.240281
2021-09-15 23:42:06.040304 : Epoch  8, Batch    736, Loss  0.600866, Average Loss  0.601903, Time  0.236145
2021-09-15 23:42:07.584425 : Epoch  8, Batch    737, Loss  0.599640, Average Loss  0.601875, Time  0.237828
2021-09-15 23:42:07.939065 : Epoch  1, Batch    440, Loss  0.894745, Average Loss  0.926919, Time  0.241164
2021-09-15 23:42:08.130335 : Epoch  3, Batch   1479, Loss  0.876007, Average Loss  0.869634, Time  0.265268
2021-09-15 23:42:09.150149 : Epoch  8, Batch    738, Loss  0.596298, Average Loss  0.601812, Time  0.236803
2021-09-15 23:42:10.538913 : Epoch  1, Batch    441, Loss  0.914183, Average Loss  0.926695, Time  0.241629
2021-09-15 23:42:10.694887 : Epoch  8, Batch    739, Loss  0.595619, Average Loss  0.601785, Time  0.236002
2021-09-15 23:42:11.112815 : Epoch  3, Batch   1480, Loss  0.868895, Average Loss  0.869585, Time  0.265080
2021-09-15 23:42:12.230464 : Epoch  8, Batch    740, Loss  0.588569, Average Loss  0.601683, Time  0.235819
2021-09-15 23:42:13.151319 : Epoch  1, Batch    442, Loss  0.914887, Average Loss  0.926443, Time  0.241487
2021-09-15 23:42:13.765843 : Epoch  8, Batch    741, Loss  0.600849, Average Loss  0.601679, Time  0.236204
2021-09-15 23:42:14.139969 : Epoch  3, Batch   1481, Loss  0.870026, Average Loss  0.869614, Time  0.266787
2021-09-15 23:42:15.315910 : Epoch  8, Batch    742, Loss  0.597403, Average Loss  0.601616, Time  0.236237
2021-09-15 23:42:15.762097 : Epoch  1, Batch    443, Loss  0.910289, Average Loss  0.926203, Time  0.242753
2021-09-15 23:42:16.856843 : Epoch  8, Batch    743, Loss  0.608893, Average Loss  0.601621, Time  0.236301
2021-09-15 23:42:17.163312 : Epoch  3, Batch   1482, Loss  0.857834, Average Loss  0.869501, Time  0.267046
2021-09-15 23:42:18.366057 : Epoch  1, Batch    444, Loss  0.929160, Average Loss  0.926044, Time  0.242059
2021-09-15 23:42:18.410409 : Epoch  8, Batch    744, Loss  0.597026, Average Loss  0.601550, Time  0.236643
2021-09-15 23:42:19.942399 : Epoch  8, Batch    745, Loss  0.594941, Average Loss  0.601426, Time  0.236139
2021-09-15 23:42:20.156817 : Epoch  3, Batch   1483, Loss  0.867465, Average Loss  0.869571, Time  0.265041
2021-09-15 23:42:20.976415 : Epoch  1, Batch    445, Loss  0.904056, Average Loss  0.925642, Time  0.240511
2021-09-15 23:42:21.474477 : Epoch  8, Batch    746, Loss  0.595757, Average Loss  0.601390, Time  0.236526
2021-09-15 23:42:23.002677 : Epoch  8, Batch    747, Loss  0.595121, Average Loss  0.601344, Time  0.236920
2021-09-15 23:42:23.137928 : Epoch  3, Batch   1484, Loss  0.848233, Average Loss  0.869481, Time  0.265791
2021-09-15 23:42:23.596885 : Epoch  1, Batch    446, Loss  0.894893, Average Loss  0.925230, Time  0.240125
2021-09-15 23:42:24.538213 : Epoch  8, Batch    748, Loss  0.614384, Average Loss  0.601394, Time  0.238958
2021-09-15 23:42:26.077666 : Epoch  8, Batch    749, Loss  0.602811, Average Loss  0.601398, Time  0.236350
2021-09-15 23:42:26.125093 : Epoch  3, Batch   1485, Loss  0.868510, Average Loss  0.869497, Time  0.266256
2021-09-15 23:42:26.202971 : Epoch  1, Batch    447, Loss  0.910142, Average Loss  0.925054, Time  0.241084
2021-09-15 23:42:27.626641 : Epoch  8, Batch    750, Loss  0.601515, Average Loss  0.601390, Time  0.236661
2021-09-15 23:42:28.811856 : Epoch  1, Batch    448, Loss  0.905737, Average Loss  0.924768, Time  0.240227
2021-09-15 23:42:29.139056 : Epoch  3, Batch   1486, Loss  0.874662, Average Loss  0.869606, Time  0.265885
2021-09-15 23:42:29.170201 : Epoch  8, Batch    751, Loss  0.604002, Average Loss  0.601381, Time  0.236107
2021-09-15 23:42:30.717937 : Epoch  8, Batch    752, Loss  0.593811, Average Loss  0.601392, Time  0.238428
2021-09-15 23:42:31.428936 : Epoch  1, Batch    449, Loss  0.906225, Average Loss  0.924498, Time  0.240223
2021-09-15 23:42:32.119429 : Epoch  3, Batch   1487, Loss  0.888821, Average Loss  0.869664, Time  0.266222
2021-09-15 23:42:32.266061 : Epoch  8, Batch    753, Loss  0.601580, Average Loss  0.601399, Time  0.237080
2021-09-15 23:42:33.806789 : Epoch  8, Batch    754, Loss  0.613087, Average Loss  0.601456, Time  0.235791
2021-09-15 23:42:34.039335 : Epoch  1, Batch    450, Loss  0.932440, Average Loss  0.924272, Time  0.240634
2021-09-15 23:42:35.100021 : Epoch  3, Batch   1488, Loss  0.860571, Average Loss  0.869595, Time  0.264457
2021-09-15 23:42:35.342447 : Epoch  8, Batch    755, Loss  0.600985, Average Loss  0.601409, Time  0.235669
2021-09-15 23:42:36.636501 : Epoch  1, Batch    451, Loss  0.904043, Average Loss  0.923961, Time  0.240994
2021-09-15 23:42:36.876715 : Epoch  8, Batch    756, Loss  0.614935, Average Loss  0.601405, Time  0.235610
2021-09-15 23:42:38.403696 : Epoch  8, Batch    757, Loss  0.598293, Average Loss  0.601417, Time  0.235651
2021-09-15 23:42:39.232058 : Epoch  1, Batch    452, Loss  0.908162, Average Loss  0.923782, Time  0.240043
2021-09-15 23:42:39.939802 : Epoch  8, Batch    758, Loss  0.598435, Average Loss  0.601429, Time  0.236916
2021-09-15 23:42:41.486605 : Epoch  8, Batch    759, Loss  0.611216, Average Loss  0.601515, Time  0.236298
2021-09-15 23:42:41.850018 : Epoch  1, Batch    453, Loss  0.911692, Average Loss  0.923520, Time  0.240716
2021-09-15 23:42:43.027913 : Epoch  8, Batch    760, Loss  0.603355, Average Loss  0.601476, Time  0.236020
2021-09-15 23:42:44.447880 : Epoch  1, Batch    454, Loss  0.908992, Average Loss  0.923299, Time  0.241047
2021-09-15 23:42:44.577865 : Epoch  8, Batch    761, Loss  0.600674, Average Loss  0.601452, Time  0.237315
2021-09-15 23:42:47.039645 : Epoch  1, Batch    455, Loss  0.895947, Average Loss  0.922986, Time  0.240294
2021-09-15 23:42:48.473135 : Epoch  8, Batch    762, Loss  0.606905, Average Loss  0.601414, Time  0.273007
2021-09-15 23:42:49.649483 : Epoch  1, Batch    456, Loss  0.911610, Average Loss  0.922723, Time  0.240388
2021-09-15 23:42:50.026463 : Epoch  8, Batch    763, Loss  0.592819, Average Loss  0.601387, Time  0.251611
2021-09-15 23:42:51.555613 : Epoch  8, Batch    764, Loss  0.591545, Average Loss  0.601314, Time  0.237403
2021-09-15 23:42:52.256692 : Epoch  1, Batch    457, Loss  0.895076, Average Loss  0.922347, Time  0.243367
2021-09-15 23:42:53.095458 : Epoch  8, Batch    765, Loss  0.605902, Average Loss  0.601336, Time  0.239019
2021-09-15 23:42:54.632193 : Epoch  8, Batch    766, Loss  0.601299, Average Loss  0.601390, Time  0.235908
2021-09-15 23:42:54.878421 : Epoch  1, Batch    458, Loss  0.902899, Average Loss  0.921888, Time  0.239970
2021-09-15 23:42:56.155511 : Epoch  8, Batch    767, Loss  0.605643, Average Loss  0.601383, Time  0.235906
2021-09-15 23:42:57.484455 : Epoch  1, Batch    459, Loss  0.904643, Average Loss  0.921568, Time  0.239966
2021-09-15 23:42:57.685157 : Epoch  8, Batch    768, Loss  0.602930, Average Loss  0.601385, Time  0.236357
2021-09-15 23:42:59.243687 : Epoch  8, Batch    769, Loss  0.600495, Average Loss  0.601399, Time  0.235875
2021-09-15 23:43:00.218815 : Epoch  1, Batch    460, Loss  0.904947, Average Loss  0.921190, Time  0.241374
2021-09-15 23:43:00.770244 : Epoch  8, Batch    770, Loss  0.595111, Average Loss  0.601341, Time  0.235862
2021-09-15 23:43:02.298856 : Epoch  8, Batch    771, Loss  0.602370, Average Loss  0.601347, Time  0.235991
2021-09-15 23:43:02.853298 : Epoch  1, Batch    461, Loss  0.902390, Average Loss  0.920954, Time  0.240956
2021-09-15 23:43:03.833036 : Epoch  8, Batch    772, Loss  0.614385, Average Loss  0.601430, Time  0.236754
2021-09-15 23:43:05.365411 : Epoch  8, Batch    773, Loss  0.589347, Average Loss  0.601388, Time  0.236156
2021-09-15 23:43:05.506401 : Epoch  1, Batch    462, Loss  0.904112, Average Loss  0.920726, Time  0.240490
2021-09-15 23:43:06.896816 : Epoch  8, Batch    774, Loss  0.599812, Average Loss  0.601337, Time  0.236952
2021-09-15 23:43:08.099109 : Epoch  1, Batch    463, Loss  0.888215, Average Loss  0.920378, Time  0.242352
2021-09-15 23:43:08.426410 : Epoch  8, Batch    775, Loss  0.600938, Average Loss  0.601369, Time  0.236454
2021-09-15 23:43:09.956369 : Epoch  8, Batch    776, Loss  0.599726, Average Loss  0.601370, Time  0.235739
2021-09-15 23:43:10.706213 : Epoch  1, Batch    464, Loss  0.931803, Average Loss  0.920225, Time  0.240059
2021-09-15 23:43:11.487556 : Epoch  8, Batch    777, Loss  0.596678, Average Loss  0.601355, Time  0.235945
2021-09-15 23:43:13.022452 : Epoch  8, Batch    778, Loss  0.600388, Average Loss  0.601361, Time  0.235589
2021-09-15 23:43:13.312109 : Epoch  1, Batch    465, Loss  0.900866, Average Loss  0.919980, Time  0.241696
2021-09-15 23:43:14.546040 : Epoch  8, Batch    779, Loss  0.603883, Average Loss  0.601354, Time  0.236148
2021-09-15 23:43:15.906203 : Epoch  1, Batch    466, Loss  0.874958, Average Loss  0.919576, Time  0.240601
2021-09-15 23:43:16.086391 : Epoch  8, Batch    780, Loss  0.599531, Average Loss  0.601414, Time  0.236726
2021-09-15 23:43:17.618104 : Epoch  8, Batch    781, Loss  0.602839, Average Loss  0.601467, Time  0.237118
2021-09-15 23:43:18.505589 : Epoch  1, Batch    467, Loss  0.920139, Average Loss  0.919548, Time  0.240100
2021-09-15 23:43:19.154625 : Epoch  8, Batch    782, Loss  0.593081, Average Loss  0.601421, Time  0.236153
2021-09-15 23:43:20.682990 : Epoch  8, Batch    783, Loss  0.603806, Average Loss  0.601433, Time  0.236225
2021-09-15 23:43:21.109120 : Epoch  1, Batch    468, Loss  0.897987, Average Loss  0.919405, Time  0.240846
2021-09-15 23:43:22.215679 : Epoch  8, Batch    784, Loss  0.602140, Average Loss  0.601408, Time  0.235801
2021-09-15 23:43:23.709813 : Epoch  1, Batch    469, Loss  0.911966, Average Loss  0.919198, Time  0.241469
2021-09-15 23:43:23.759815 : Epoch  8, Batch    785, Loss  0.609765, Average Loss  0.601472, Time  0.237890
2021-09-15 23:43:25.287395 : Epoch  8, Batch    786, Loss  0.606593, Average Loss  0.601530, Time  0.235342
2021-09-15 23:43:26.308878 : Epoch  1, Batch    470, Loss  0.897809, Average Loss  0.918884, Time  0.240723
2021-09-15 23:43:26.834865 : Epoch  8, Batch    787, Loss  0.607126, Average Loss  0.601541, Time  0.240782
2021-09-15 23:43:26.877573 : Saving Model after 8-th Epoch.
2021-09-15 23:43:27.765622 : Epoch Finished.
2021-09-15 23:43:28.909487 : Epoch  1, Batch    471, Loss  0.906389, Average Loss  0.918671, Time  0.240668
2021-09-15 23:43:30.055591 : Batch Shuffled
2021-09-15 23:43:31.508192 : Epoch  1, Batch    472, Loss  0.936461, Average Loss  0.918572, Time  0.240210
2021-09-15 23:43:31.589076 : Epoch  9, Batch      1, Loss  0.615952, Average Loss  0.601601, Time  0.236220
2021-09-15 23:43:33.128427 : Epoch  9, Batch      2, Loss  0.609847, Average Loss  0.601646, Time  0.235545
2021-09-15 23:43:34.109157 : Epoch  1, Batch    473, Loss  0.894310, Average Loss  0.918302, Time  0.240060
2021-09-15 23:43:34.654416 : Epoch  9, Batch      3, Loss  0.602187, Average Loss  0.601585, Time  0.236130
2021-09-15 23:43:36.198031 : Epoch  9, Batch      4, Loss  0.603277, Average Loss  0.601627, Time  0.236916
2021-09-15 23:43:36.706179 : Epoch  1, Batch    474, Loss  0.909298, Average Loss  0.918029, Time  0.241385
2021-09-15 23:43:39.296898 : Epoch  1, Batch    475, Loss  0.918952, Average Loss  0.917841, Time  0.240795
2021-09-15 23:43:41.893121 : Epoch  1, Batch    476, Loss  0.897962, Average Loss  0.917602, Time  0.240088
2021-09-15 23:43:44.496107 : Epoch  1, Batch    477, Loss  0.915103, Average Loss  0.917395, Time  0.240629
2021-09-15 23:43:47.094257 : Epoch  1, Batch    478, Loss  0.893032, Average Loss  0.917111, Time  0.240163
2021-09-15 23:43:49.694822 : Epoch  1, Batch    479, Loss  0.894362, Average Loss  0.917065, Time  0.240242
2021-09-15 23:43:52.300432 : Epoch  1, Batch    480, Loss  0.883614, Average Loss  0.916822, Time  0.241033
2021-09-15 23:43:54.908580 : Epoch  1, Batch    481, Loss  0.868131, Average Loss  0.916477, Time  0.241117
2021-09-15 23:43:57.505722 : Epoch  1, Batch    482, Loss  0.910530, Average Loss  0.916353, Time  0.239853
2021-09-15 23:44:00.113943 : Epoch  1, Batch    483, Loss  0.905291, Average Loss  0.916239, Time  0.241417
2021-09-15 23:44:02.722778 : Epoch  1, Batch    484, Loss  0.904283, Average Loss  0.916004, Time  0.240088
2021-09-15 23:44:05.337622 : Epoch  1, Batch    485, Loss  0.897758, Average Loss  0.915787, Time  0.240165
2021-09-15 23:44:07.945968 : Epoch  1, Batch    486, Loss  0.887505, Average Loss  0.915504, Time  0.242156
2021-09-15 23:44:10.552895 : Epoch  1, Batch    487, Loss  0.901152, Average Loss  0.915317, Time  0.240424
2021-09-15 23:44:13.156037 : Epoch  1, Batch    488, Loss  0.894507, Average Loss  0.915032, Time  0.241770
2021-09-15 23:44:15.765904 : Epoch  1, Batch    489, Loss  0.896827, Average Loss  0.914947, Time  0.240716
2021-09-15 23:44:18.366790 : Epoch  1, Batch    490, Loss  0.906971, Average Loss  0.914827, Time  0.240218
2021-09-15 23:44:20.973961 : Epoch  1, Batch    491, Loss  0.911754, Average Loss  0.914699, Time  0.242131
2021-09-15 23:44:23.580287 : Epoch  1, Batch    492, Loss  0.886680, Average Loss  0.914454, Time  0.240583
2021-09-15 23:44:26.196572 : Epoch  1, Batch    493, Loss  0.896584, Average Loss  0.914274, Time  0.244837
2021-09-15 23:44:28.815412 : Epoch  1, Batch    494, Loss  0.939170, Average Loss  0.914300, Time  0.240630
2021-09-15 23:44:31.427697 : Epoch  1, Batch    495, Loss  0.879699, Average Loss  0.914042, Time  0.241000
2021-09-15 23:44:33.026756 : CheckPoint: Validation Loss  0.00025421, Best Loss  0.00024058
2021-09-15 23:44:34.031182 : Epoch  1, Batch    496, Loss  0.886757, Average Loss  0.913782, Time  0.240393
2021-09-15 23:44:34.589067 : Epoch  9, Batch      5, Loss  0.604809, Average Loss  0.601693, Time  0.261286
2021-09-15 23:44:36.130475 : Epoch  9, Batch      6, Loss  0.597896, Average Loss  0.601696, Time  0.243067
2021-09-15 23:44:36.658219 : Epoch  1, Batch    497, Loss  0.881029, Average Loss  0.913411, Time  0.241444
2021-09-15 23:44:37.671214 : Epoch  9, Batch      7, Loss  0.603882, Average Loss  0.601617, Time  0.239690
2021-09-15 23:44:39.202171 : Epoch  9, Batch      8, Loss  0.606930, Average Loss  0.601599, Time  0.237714
2021-09-15 23:44:39.276363 : Epoch  1, Batch    498, Loss  0.895498, Average Loss  0.913157, Time  0.240458
2021-09-15 23:44:40.739019 : Epoch  9, Batch      9, Loss  0.605890, Average Loss  0.601549, Time  0.238037
2021-09-15 23:44:41.886290 : Epoch  1, Batch    499, Loss  0.889847, Average Loss  0.912991, Time  0.241345
2021-09-15 23:44:42.269872 : Epoch  9, Batch     10, Loss  0.591982, Average Loss  0.601572, Time  0.236599
2021-09-15 23:44:43.790598 : Epoch  9, Batch     11, Loss  0.609399, Average Loss  0.601650, Time  0.235840
2021-09-15 23:44:44.490508 : Epoch  1, Batch    500, Loss  0.916485, Average Loss  0.912912, Time  0.240378
2021-09-15 23:44:45.317415 : Epoch  9, Batch     12, Loss  0.605132, Average Loss  0.601635, Time  0.235841
2021-09-15 23:44:46.832383 : Epoch  9, Batch     13, Loss  0.605059, Average Loss  0.601625, Time  0.236111
2021-09-15 23:44:48.362611 : Epoch  9, Batch     14, Loss  0.610749, Average Loss  0.601709, Time  0.236367
2021-09-15 23:44:49.880320 : Epoch  9, Batch     15, Loss  0.601318, Average Loss  0.601755, Time  0.238338
2021-09-15 23:44:51.400091 : Epoch  9, Batch     16, Loss  0.604104, Average Loss  0.601732, Time  0.237022
2021-09-15 23:44:52.924752 : Epoch  9, Batch     17, Loss  0.605021, Average Loss  0.601785, Time  0.236045
2021-09-15 23:44:54.463383 : Epoch  9, Batch     18, Loss  0.600284, Average Loss  0.601805, Time  0.236998
2021-09-15 23:44:56.000401 : Epoch  9, Batch     19, Loss  0.600384, Average Loss  0.601755, Time  0.236872
2021-09-15 23:44:57.550156 : Epoch  9, Batch     20, Loss  0.598873, Average Loss  0.601690, Time  0.236290
2021-09-15 23:44:59.082931 : Epoch  9, Batch     21, Loss  0.592937, Average Loss  0.601656, Time  0.236386
2021-09-15 23:45:00.612051 : Epoch  9, Batch     22, Loss  0.594523, Average Loss  0.601630, Time  0.236978
2021-09-15 23:45:02.136015 : Epoch  9, Batch     23, Loss  0.614733, Average Loss  0.601656, Time  0.236001
2021-09-15 23:45:03.662468 : Epoch  9, Batch     24, Loss  0.604401, Average Loss  0.601683, Time  0.236109
2021-09-15 23:45:05.209394 : Epoch  9, Batch     25, Loss  0.610747, Average Loss  0.601704, Time  0.236050
2021-09-15 23:45:06.752562 : Epoch  9, Batch     26, Loss  0.603907, Average Loss  0.601695, Time  0.237465
2021-09-15 23:45:08.279052 : Epoch  9, Batch     27, Loss  0.592511, Average Loss  0.601590, Time  0.236004
2021-09-15 23:45:09.813012 : Epoch  9, Batch     28, Loss  0.599222, Average Loss  0.601620, Time  0.236495
2021-09-15 23:45:11.349411 : Epoch  9, Batch     29, Loss  0.607662, Average Loss  0.601669, Time  0.235919
2021-09-15 23:45:12.880273 : Epoch  9, Batch     30, Loss  0.601043, Average Loss  0.601627, Time  0.236318
2021-09-15 23:45:14.424408 : Epoch  9, Batch     31, Loss  0.597322, Average Loss  0.601623, Time  0.235884
2021-09-15 23:45:15.958395 : Epoch  9, Batch     32, Loss  0.605270, Average Loss  0.601661, Time  0.235589
2021-09-15 23:45:17.483392 : Epoch  9, Batch     33, Loss  0.607353, Average Loss  0.601650, Time  0.236764
2021-09-15 23:45:19.014447 : Epoch  9, Batch     34, Loss  0.604520, Average Loss  0.601643, Time  0.235918
2021-09-15 23:45:20.546064 : Epoch  9, Batch     35, Loss  0.594815, Average Loss  0.601634, Time  0.236116
2021-09-15 23:45:22.076386 : Epoch  9, Batch     36, Loss  0.603316, Average Loss  0.601609, Time  0.235736
2021-09-15 23:45:23.606385 : Epoch  9, Batch     37, Loss  0.597927, Average Loss  0.601513, Time  0.236539
2021-09-15 23:45:25.133024 : Epoch  9, Batch     38, Loss  0.608906, Average Loss  0.601510, Time  0.237118
2021-09-15 23:45:26.655017 : Epoch  9, Batch     39, Loss  0.591954, Average Loss  0.601440, Time  0.236188
2021-09-15 23:45:28.188810 : Epoch  9, Batch     40, Loss  0.615084, Average Loss  0.601466, Time  0.235871
2021-09-15 23:45:29.724047 : Epoch  9, Batch     41, Loss  0.602028, Average Loss  0.601433, Time  0.235862
2021-09-15 23:45:31.253023 : Epoch  9, Batch     42, Loss  0.608355, Average Loss  0.601422, Time  0.236118
2021-09-15 23:45:32.785089 : Epoch  9, Batch     43, Loss  0.602287, Average Loss  0.601420, Time  0.236446
2021-09-15 23:45:34.320660 : Epoch  9, Batch     44, Loss  0.599551, Average Loss  0.601433, Time  0.238234
2021-09-15 23:45:35.855253 : Epoch  9, Batch     45, Loss  0.609483, Average Loss  0.601483, Time  0.236407
2021-09-15 23:45:37.379422 : Epoch  9, Batch     46, Loss  0.605121, Average Loss  0.601537, Time  0.237689
2021-09-15 23:45:38.908213 : Epoch  9, Batch     47, Loss  0.605413, Average Loss  0.601611, Time  0.235825
2021-09-15 23:45:40.446610 : Epoch  9, Batch     48, Loss  0.614778, Average Loss  0.601706, Time  0.237016
2021-09-15 23:45:41.985014 : Epoch  9, Batch     49, Loss  0.594561, Average Loss  0.601648, Time  0.237214
2021-09-15 23:45:43.515033 : Epoch  9, Batch     50, Loss  0.613549, Average Loss  0.601719, Time  0.236664
2021-09-15 23:45:45.044902 : Epoch  9, Batch     51, Loss  0.601880, Average Loss  0.601739, Time  0.237396
2021-09-15 23:45:46.577435 : Epoch  9, Batch     52, Loss  0.612711, Average Loss  0.601833, Time  0.235456
2021-09-15 23:45:48.113014 : Epoch  9, Batch     53, Loss  0.603273, Average Loss  0.601878, Time  0.235934
2021-09-15 23:45:49.664549 : Epoch  9, Batch     54, Loss  0.599261, Average Loss  0.601915, Time  0.237021
2021-09-15 23:45:51.196073 : Epoch  9, Batch     55, Loss  0.604862, Average Loss  0.602000, Time  0.236235
2021-09-15 23:45:52.723740 : Epoch  9, Batch     56, Loss  0.599108, Average Loss  0.602023, Time  0.236281
2021-09-15 23:45:54.260169 : Epoch  9, Batch     57, Loss  0.605559, Average Loss  0.602033, Time  0.236101
2021-09-15 23:45:55.799040 : Epoch  9, Batch     58, Loss  0.616104, Average Loss  0.602171, Time  0.236475
2021-09-15 23:45:57.324918 : Epoch  9, Batch     59, Loss  0.606939, Average Loss  0.602210, Time  0.236123
2021-09-15 23:45:58.858263 : Epoch  9, Batch     60, Loss  0.602010, Average Loss  0.602276, Time  0.235818
2021-09-15 23:46:00.394858 : Epoch  9, Batch     61, Loss  0.591985, Average Loss  0.602210, Time  0.236093
2021-09-15 23:46:01.923657 : Epoch  9, Batch     62, Loss  0.593225, Average Loss  0.602209, Time  0.236279
2021-09-15 23:46:03.457155 : Epoch  9, Batch     63, Loss  0.597378, Average Loss  0.602215, Time  0.236418
2021-09-15 23:46:04.990025 : Epoch  9, Batch     64, Loss  0.586840, Average Loss  0.602136, Time  0.236143
2021-09-15 23:46:06.521097 : Epoch  9, Batch     65, Loss  0.612628, Average Loss  0.602165, Time  0.236094
2021-09-15 23:46:08.050431 : Epoch  9, Batch     66, Loss  0.598265, Average Loss  0.602187, Time  0.235631
2021-09-15 23:46:09.589376 : Epoch  9, Batch     67, Loss  0.612580, Average Loss  0.602239, Time  0.236376
2021-09-15 23:46:11.130417 : Epoch  9, Batch     68, Loss  0.593620, Average Loss  0.602220, Time  0.236676
2021-09-15 23:46:12.666128 : Epoch  9, Batch     69, Loss  0.606210, Average Loss  0.602278, Time  0.236115
2021-09-15 23:46:14.198110 : Epoch  9, Batch     70, Loss  0.606285, Average Loss  0.602369, Time  0.236993
2021-09-15 23:46:15.733617 : Epoch  9, Batch     71, Loss  0.599974, Average Loss  0.602314, Time  0.235753
2021-09-15 23:46:17.275202 : Epoch  9, Batch     72, Loss  0.601176, Average Loss  0.602321, Time  0.236129
2021-09-15 23:46:18.812010 : Epoch  9, Batch     73, Loss  0.603636, Average Loss  0.602318, Time  0.236245
2021-09-15 23:46:20.348257 : Epoch  9, Batch     74, Loss  0.595492, Average Loss  0.602308, Time  0.236603
2021-09-15 23:46:24.293260 : Epoch  9, Batch     75, Loss  0.606656, Average Loss  0.602345, Time  0.267651
2021-09-15 23:46:25.832385 : Epoch  9, Batch     76, Loss  0.592627, Average Loss  0.602308, Time  0.240207
2021-09-15 23:46:27.363928 : Epoch  9, Batch     77, Loss  0.587227, Average Loss  0.602258, Time  0.238096
2021-09-15 23:46:28.898371 : Epoch  9, Batch     78, Loss  0.598291, Average Loss  0.602195, Time  0.236420
2021-09-15 23:46:30.431455 : Epoch  9, Batch     79, Loss  0.604115, Average Loss  0.602236, Time  0.235702
2021-09-15 23:46:31.965449 : Epoch  9, Batch     80, Loss  0.597335, Average Loss  0.602227, Time  0.237587
2021-09-15 23:46:33.491425 : Epoch  9, Batch     81, Loss  0.606113, Average Loss  0.602277, Time  0.236021
2021-09-15 23:46:35.012969 : Epoch  9, Batch     82, Loss  0.609192, Average Loss  0.602300, Time  0.236214
2021-09-15 23:46:36.548407 : Epoch  9, Batch     83, Loss  0.605443, Average Loss  0.602342, Time  0.237543
2021-09-15 23:46:38.073558 : Epoch  9, Batch     84, Loss  0.603806, Average Loss  0.602329, Time  0.237332
2021-09-15 23:46:39.601155 : Epoch  9, Batch     85, Loss  0.607796, Average Loss  0.602292, Time  0.235984
2021-09-15 23:46:41.122390 : Epoch  9, Batch     86, Loss  0.608136, Average Loss  0.602357, Time  0.235589
2021-09-15 23:46:42.654115 : Epoch  9, Batch     87, Loss  0.607568, Average Loss  0.602376, Time  0.236310
2021-09-15 23:46:44.178709 : Epoch  9, Batch     88, Loss  0.605016, Average Loss  0.602441, Time  0.236187
2021-09-15 23:46:45.706783 : Epoch  9, Batch     89, Loss  0.606144, Average Loss  0.602455, Time  0.236314
2021-09-15 23:46:47.232491 : Epoch  9, Batch     90, Loss  0.600006, Average Loss  0.602482, Time  0.235907
2021-09-15 23:46:48.759855 : Epoch  9, Batch     91, Loss  0.590980, Average Loss  0.602363, Time  0.235945
2021-09-15 23:46:50.284275 : Epoch  9, Batch     92, Loss  0.604976, Average Loss  0.602369, Time  0.236121
2021-09-15 23:46:51.809428 : Epoch  9, Batch     93, Loss  0.589359, Average Loss  0.602320, Time  0.235893
2021-09-15 23:46:53.341211 : Epoch  9, Batch     94, Loss  0.605367, Average Loss  0.602303, Time  0.236381
2021-09-15 23:46:54.865196 : Epoch  9, Batch     95, Loss  0.597117, Average Loss  0.602370, Time  0.235933
2021-09-15 23:46:56.398114 : Epoch  9, Batch     96, Loss  0.607004, Average Loss  0.602369, Time  0.236461
2021-09-15 23:46:57.926134 : Epoch  9, Batch     97, Loss  0.600484, Average Loss  0.602339, Time  0.235898
2021-09-15 23:46:59.460169 : Epoch  9, Batch     98, Loss  0.599527, Average Loss  0.602306, Time  0.235561
2021-09-15 23:47:01.002925 : Epoch  9, Batch     99, Loss  0.602079, Average Loss  0.602276, Time  0.236663
2021-09-15 23:47:02.533295 : Epoch  9, Batch    100, Loss  0.605291, Average Loss  0.602225, Time  0.236097
2021-09-15 23:47:04.069444 : Epoch  9, Batch    101, Loss  0.603896, Average Loss  0.602235, Time  0.235774
2021-09-15 23:47:05.601972 : Epoch  9, Batch    102, Loss  0.596248, Average Loss  0.602244, Time  0.237083
2021-09-15 23:47:07.137435 : Epoch  9, Batch    103, Loss  0.604798, Average Loss  0.602266, Time  0.236847
2021-09-15 23:47:08.669428 : Epoch  9, Batch    104, Loss  0.612497, Average Loss  0.602274, Time  0.237019
2021-09-15 23:47:12.942150 : CheckPoint: Validation Loss  0.00029864, Best Loss  0.00029379
2021-09-15 23:47:15.951807 : Epoch  3, Batch   1489, Loss  0.866594, Average Loss  0.869619, Time  0.267505
2021-09-15 23:47:18.988182 : Epoch  3, Batch   1490, Loss  0.875525, Average Loss  0.869611, Time  0.265920
2021-09-15 23:47:22.022226 : Epoch  3, Batch   1491, Loss  0.861603, Average Loss  0.869409, Time  0.264943
2021-09-15 23:47:25.007692 : Epoch  3, Batch   1492, Loss  0.874753, Average Loss  0.869308, Time  0.265052
2021-09-15 23:47:28.039199 : Epoch  3, Batch   1493, Loss  0.870575, Average Loss  0.869258, Time  0.267143
2021-09-15 23:47:31.031811 : Epoch  3, Batch   1494, Loss  0.873046, Average Loss  0.869333, Time  0.265105
2021-09-15 23:47:34.065232 : Epoch  3, Batch   1495, Loss  0.869691, Average Loss  0.869290, Time  0.265649
2021-09-15 23:47:37.073000 : Epoch  3, Batch   1496, Loss  0.886753, Average Loss  0.869247, Time  0.278734
2021-09-15 23:47:40.068707 : Epoch  3, Batch   1497, Loss  0.869170, Average Loss  0.869296, Time  0.265514
2021-09-15 23:47:43.070186 : Epoch  3, Batch   1498, Loss  0.884424, Average Loss  0.869327, Time  0.265896
2021-09-15 23:47:46.076988 : Epoch  3, Batch   1499, Loss  0.877174, Average Loss  0.869244, Time  0.267287
2021-09-15 23:47:49.078245 : Epoch  3, Batch   1500, Loss  0.885001, Average Loss  0.869308, Time  0.265115
2021-09-15 23:47:52.074530 : Epoch  3, Batch   1501, Loss  0.841852, Average Loss  0.869183, Time  0.265808
2021-09-15 23:47:55.072061 : Epoch  3, Batch   1502, Loss  0.872818, Average Loss  0.869122, Time  0.266303
2021-09-15 23:47:58.064446 : Epoch  3, Batch   1503, Loss  0.868000, Average Loss  0.869083, Time  0.265163
2021-09-15 23:48:01.091041 : Epoch  3, Batch   1504, Loss  0.864304, Average Loss  0.869030, Time  0.267223
2021-09-15 23:48:04.118911 : Epoch  3, Batch   1505, Loss  0.862352, Average Loss  0.869020, Time  0.266550
2021-09-15 23:48:05.701431 : CheckPoint: Validation Loss  0.00025020, Best Loss  0.00024058
2021-09-15 23:48:07.148518 : Epoch  3, Batch   1506, Loss  0.873001, Average Loss  0.869016, Time  0.266467
2021-09-15 23:48:07.236186 : Epoch  9, Batch    105, Loss  0.595376, Average Loss  0.602241, Time  0.236687
2021-09-15 23:48:08.775254 : Epoch  9, Batch    106, Loss  0.586036, Average Loss  0.602167, Time  0.236033
2021-09-15 23:48:10.193791 : Epoch  3, Batch   1507, Loss  0.868296, Average Loss  0.869030, Time  0.265558
2021-09-15 23:48:10.316337 : Epoch  9, Batch    107, Loss  0.593934, Average Loss  0.602146, Time  0.236545
2021-09-15 23:48:11.858928 : Epoch  9, Batch    108, Loss  0.598616, Average Loss  0.602155, Time  0.236762
2021-09-15 23:48:13.257575 : Epoch  3, Batch   1508, Loss  0.850530, Average Loss  0.868902, Time  0.267320
2021-09-15 23:48:13.400660 : Epoch  9, Batch    109, Loss  0.612956, Average Loss  0.602190, Time  0.235758
2021-09-15 23:48:14.934418 : Epoch  9, Batch    110, Loss  0.604935, Average Loss  0.602211, Time  0.237085
2021-09-15 23:48:16.298546 : Epoch  3, Batch   1509, Loss  0.879741, Average Loss  0.869096, Time  0.265404
2021-09-15 23:48:16.471124 : Epoch  9, Batch    111, Loss  0.610439, Average Loss  0.602251, Time  0.235770
2021-09-15 23:48:17.998421 : Epoch  9, Batch    112, Loss  0.596478, Average Loss  0.602186, Time  0.238327
2021-09-15 23:48:19.291982 : Epoch  3, Batch   1510, Loss  0.890394, Average Loss  0.869140, Time  0.264915
2021-09-15 23:48:19.540006 : Epoch  9, Batch    113, Loss  0.597099, Average Loss  0.602159, Time  0.244355
2021-09-15 23:48:21.067571 : Epoch  9, Batch    114, Loss  0.597801, Average Loss  0.602115, Time  0.236236
2021-09-15 23:48:22.288719 : Epoch  3, Batch   1511, Loss  0.876056, Average Loss  0.869169, Time  0.277105
2021-09-15 23:48:22.616816 : Epoch  9, Batch    115, Loss  0.599055, Average Loss  0.602148, Time  0.235941
2021-09-15 23:48:24.151677 : Epoch  9, Batch    116, Loss  0.596351, Average Loss  0.602135, Time  0.237334
2021-09-15 23:48:25.316134 : Epoch  3, Batch   1512, Loss  0.876996, Average Loss  0.869087, Time  0.265777
2021-09-15 23:48:25.691422 : Epoch  9, Batch    117, Loss  0.611466, Average Loss  0.602157, Time  0.236980
2021-09-15 23:48:27.211373 : Epoch  9, Batch    118, Loss  0.593093, Average Loss  0.602037, Time  0.235708
2021-09-15 23:48:28.338669 : Epoch  3, Batch   1513, Loss  0.870950, Average Loss  0.869120, Time  0.265304
2021-09-15 23:48:28.748187 : Epoch  9, Batch    119, Loss  0.606439, Average Loss  0.602042, Time  0.237729
2021-09-15 23:48:30.285224 : Epoch  9, Batch    120, Loss  0.600640, Average Loss  0.601990, Time  0.236417
2021-09-15 23:48:31.344655 : Epoch  3, Batch   1514, Loss  0.874196, Average Loss  0.869184, Time  0.265492
2021-09-15 23:48:31.822893 : Epoch  9, Batch    121, Loss  0.599385, Average Loss  0.602051, Time  0.237123
2021-09-15 23:48:33.351397 : Epoch  9, Batch    122, Loss  0.599159, Average Loss  0.602050, Time  0.236362
2021-09-15 23:48:34.343845 : Epoch  3, Batch   1515, Loss  0.859920, Average Loss  0.869130, Time  0.266249
2021-09-15 23:48:34.882028 : Epoch  9, Batch    123, Loss  0.608214, Average Loss  0.602079, Time  0.236279
2021-09-15 23:48:36.427635 : Epoch  9, Batch    124, Loss  0.598124, Average Loss  0.602000, Time  0.236258
2021-09-15 23:48:37.346433 : Epoch  3, Batch   1516, Loss  0.884699, Average Loss  0.869115, Time  0.265524
2021-09-15 23:48:37.959819 : Epoch  9, Batch    125, Loss  0.616907, Average Loss  0.602071, Time  0.236315
2021-09-15 23:48:39.498729 : Epoch  9, Batch    126, Loss  0.599537, Average Loss  0.601986, Time  0.236224
2021-09-15 23:48:40.334494 : Epoch  3, Batch   1517, Loss  0.885044, Average Loss  0.869073, Time  0.265243
2021-09-15 23:48:41.047411 : Epoch  9, Batch    127, Loss  0.603587, Average Loss  0.601982, Time  0.236094
2021-09-15 23:48:42.592749 : Epoch  9, Batch    128, Loss  0.605829, Average Loss  0.602040, Time  0.235979
2021-09-15 23:48:43.362195 : Epoch  3, Batch   1518, Loss  0.893377, Average Loss  0.869133, Time  0.265870
2021-09-15 23:48:44.123222 : Epoch  9, Batch    129, Loss  0.608011, Average Loss  0.602018, Time  0.236663
2021-09-15 23:48:45.659197 : Epoch  9, Batch    130, Loss  0.601593, Average Loss  0.602081, Time  0.236457
2021-09-15 23:48:46.337757 : Epoch  3, Batch   1519, Loss  0.880209, Average Loss  0.869152, Time  0.266405
2021-09-15 23:48:47.189272 : Epoch  9, Batch    131, Loss  0.603497, Average Loss  0.602098, Time  0.236600
2021-09-15 23:48:47.650055 : CheckPoint: Validation Loss  0.00030821, Best Loss  0.00030599
2021-09-15 23:48:48.716429 : Epoch  9, Batch    132, Loss  0.595823, Average Loss  0.601998, Time  0.235783
2021-09-15 23:48:49.350113 : Epoch  3, Batch   1520, Loss  0.870421, Average Loss  0.869180, Time  0.266117
2021-09-15 23:48:50.256459 : Epoch  9, Batch    133, Loss  0.593421, Average Loss  0.601920, Time  0.236725
2021-09-15 23:48:50.291540 : Epoch  1, Batch    501, Loss  0.907907, Average Loss  0.912790, Time  0.243733
2021-09-15 23:48:51.792377 : Epoch  9, Batch    134, Loss  0.601920, Average Loss  0.601918, Time  0.236592
2021-09-15 23:48:52.341914 : Epoch  3, Batch   1521, Loss  0.867208, Average Loss  0.869100, Time  0.265714
2021-09-15 23:48:52.869850 : Epoch  1, Batch    502, Loss  0.887373, Average Loss  0.912526, Time  0.240152
2021-09-15 23:48:53.330128 : Epoch  9, Batch    135, Loss  0.611553, Average Loss  0.602023, Time  0.237259
2021-09-15 23:48:54.849076 : Epoch  9, Batch    136, Loss  0.607017, Average Loss  0.602045, Time  0.236138
2021-09-15 23:48:55.360097 : Epoch  3, Batch   1522, Loss  0.873557, Average Loss  0.869232, Time  0.267447
2021-09-15 23:48:55.467899 : Epoch  1, Batch    503, Loss  0.922555, Average Loss  0.912435, Time  0.240598
2021-09-15 23:48:56.380471 : Epoch  9, Batch    137, Loss  0.615358, Average Loss  0.602140, Time  0.236247
2021-09-15 23:48:57.910203 : Epoch  9, Batch    138, Loss  0.590580, Average Loss  0.602101, Time  0.236878
2021-09-15 23:48:58.041597 : Epoch  1, Batch    504, Loss  0.895277, Average Loss  0.912341, Time  0.240116
2021-09-15 23:48:58.336342 : Epoch  3, Batch   1523, Loss  0.867095, Average Loss  0.869301, Time  0.266123
2021-09-15 23:48:59.440172 : Epoch  9, Batch    139, Loss  0.611232, Average Loss  0.602128, Time  0.236618
2021-09-15 23:49:00.621712 : Epoch  1, Batch    505, Loss  0.892630, Average Loss  0.912153, Time  0.239948
2021-09-15 23:49:00.978155 : Epoch  9, Batch    140, Loss  0.599212, Average Loss  0.602145, Time  0.235677
2021-09-15 23:49:01.312035 : Epoch  3, Batch   1524, Loss  0.858906, Average Loss  0.869297, Time  0.266413
2021-09-15 23:49:02.502108 : Epoch  9, Batch    141, Loss  0.595807, Average Loss  0.602116, Time  0.235830
2021-09-15 23:49:03.212426 : Epoch  1, Batch    506, Loss  0.914482, Average Loss  0.912024, Time  0.240248
2021-09-15 23:49:04.033834 : Epoch  9, Batch    142, Loss  0.600980, Average Loss  0.602082, Time  0.236727
2021-09-15 23:49:04.292903 : Epoch  3, Batch   1525, Loss  0.846199, Average Loss  0.869145, Time  0.265961
2021-09-15 23:49:05.597475 : Epoch  9, Batch    143, Loss  0.588332, Average Loss  0.602017, Time  0.237134
2021-09-15 23:49:05.804788 : Epoch  1, Batch    507, Loss  0.896452, Average Loss  0.911783, Time  0.240551
2021-09-15 23:49:07.121317 : Epoch  9, Batch    144, Loss  0.594405, Average Loss  0.602010, Time  0.236795
2021-09-15 23:49:07.326781 : Epoch  3, Batch   1526, Loss  0.849972, Average Loss  0.869006, Time  0.278558
2021-09-15 23:49:08.384295 : Epoch  1, Batch    508, Loss  0.901462, Average Loss  0.911703, Time  0.241005
2021-09-15 23:49:08.642666 : Epoch  9, Batch    145, Loss  0.583533, Average Loss  0.601945, Time  0.236808
2021-09-15 23:49:10.165448 : Epoch  9, Batch    146, Loss  0.606058, Average Loss  0.602010, Time  0.236591
2021-09-15 23:49:10.320927 : Epoch  3, Batch   1527, Loss  0.871054, Average Loss  0.869121, Time  0.265737
2021-09-15 23:49:10.989206 : Epoch  1, Batch    509, Loss  0.886566, Average Loss  0.911462, Time  0.239894
2021-09-15 23:49:11.692177 : Epoch  9, Batch    147, Loss  0.606680, Average Loss  0.602057, Time  0.236163
2021-09-15 23:49:13.218517 : Epoch  9, Batch    148, Loss  0.604874, Average Loss  0.602094, Time  0.235966
2021-09-15 23:49:13.327875 : Epoch  3, Batch   1528, Loss  0.876129, Average Loss  0.869081, Time  0.265370
2021-09-15 23:49:13.568421 : Epoch  1, Batch    510, Loss  0.922692, Average Loss  0.911378, Time  0.239647
2021-09-15 23:49:14.751055 : Epoch  9, Batch    149, Loss  0.603500, Average Loss  0.602107, Time  0.235780
2021-09-15 23:49:16.153365 : Epoch  1, Batch    511, Loss  0.893932, Average Loss  0.911227, Time  0.240880
2021-09-15 23:49:16.290159 : Epoch  9, Batch    150, Loss  0.598538, Average Loss  0.602102, Time  0.240176
2021-09-15 23:49:16.316541 : Epoch  3, Batch   1529, Loss  0.878595, Average Loss  0.869034, Time  0.265341
2021-09-15 23:49:17.805164 : Epoch  9, Batch    151, Loss  0.597113, Average Loss  0.602106, Time  0.236153
2021-09-15 23:49:18.729717 : Epoch  1, Batch    512, Loss  0.893082, Average Loss  0.911092, Time  0.239949
2021-09-15 23:49:19.307158 : Epoch  3, Batch   1530, Loss  0.884672, Average Loss  0.869103, Time  0.265929
2021-09-15 23:49:19.329381 : Epoch  9, Batch    152, Loss  0.612734, Average Loss  0.602191, Time  0.237597
2021-09-15 23:49:20.854321 : Epoch  9, Batch    153, Loss  0.594631, Average Loss  0.602222, Time  0.236356
2021-09-15 23:49:21.314849 : Epoch  1, Batch    513, Loss  0.897267, Average Loss  0.910897, Time  0.240954
2021-09-15 23:49:22.319185 : Epoch  3, Batch   1531, Loss  0.879755, Average Loss  0.869173, Time  0.265258
2021-09-15 23:49:22.380431 : Epoch  9, Batch    154, Loss  0.595297, Average Loss  0.602194, Time  0.236561
2021-09-15 23:49:23.893988 : Epoch  1, Batch    514, Loss  0.899572, Average Loss  0.910760, Time  0.240712
2021-09-15 23:49:23.924077 : Epoch  9, Batch    155, Loss  0.600210, Average Loss  0.602208, Time  0.238041
2021-09-15 23:49:25.322487 : Epoch  3, Batch   1532, Loss  0.868094, Average Loss  0.869273, Time  0.266011
2021-09-15 23:49:25.465168 : Epoch  9, Batch    156, Loss  0.598318, Average Loss  0.602155, Time  0.236240
2021-09-15 23:49:26.539410 : Epoch  1, Batch    515, Loss  0.874213, Average Loss  0.910550, Time  0.239868
2021-09-15 23:49:26.972623 : Epoch  9, Batch    157, Loss  0.603017, Average Loss  0.602185, Time  0.235687
2021-09-15 23:49:28.328426 : Epoch  3, Batch   1533, Loss  0.850181, Average Loss  0.869094, Time  0.265776
2021-09-15 23:49:28.481458 : Epoch  9, Batch    158, Loss  0.606142, Average Loss  0.602241, Time  0.235681
2021-09-15 23:49:29.122089 : Epoch  1, Batch    516, Loss  0.889861, Average Loss  0.910395, Time  0.241190
2021-09-15 23:49:29.993382 : Epoch  9, Batch    159, Loss  0.604030, Average Loss  0.602282, Time  0.235876
2021-09-15 23:49:31.310801 : Epoch  3, Batch   1534, Loss  0.876984, Average Loss  0.869236, Time  0.265230
2021-09-15 23:49:31.525228 : Epoch  9, Batch    160, Loss  0.601325, Average Loss  0.602313, Time  0.237053
2021-09-15 23:49:31.724048 : Epoch  1, Batch    517, Loss  0.899367, Average Loss  0.910252, Time  0.242426
2021-09-15 23:49:33.035196 : Epoch  9, Batch    161, Loss  0.593277, Average Loss  0.602208, Time  0.236084
2021-09-15 23:49:34.294884 : Epoch  1, Batch    518, Loss  0.907883, Average Loss  0.910207, Time  0.239998
2021-09-15 23:49:34.311466 : Epoch  3, Batch   1535, Loss  0.846189, Average Loss  0.869251, Time  0.265209
2021-09-15 23:49:34.556198 : Epoch  9, Batch    162, Loss  0.608816, Average Loss  0.602238, Time  0.236479
2021-09-15 23:49:36.082021 : Epoch  9, Batch    163, Loss  0.594770, Average Loss  0.602204, Time  0.235843
2021-09-15 23:49:36.894756 : Epoch  1, Batch    519, Loss  0.889058, Average Loss  0.909995, Time  0.240130
2021-09-15 23:49:37.310003 : Epoch  3, Batch   1536, Loss  0.895212, Average Loss  0.869422, Time  0.268028
2021-09-15 23:49:37.609957 : Epoch  9, Batch    164, Loss  0.601321, Average Loss  0.602191, Time  0.235925
2021-09-15 23:49:38.148220 : Epoch  1, Batch    520, Loss  0.928869, Average Loss  0.910114, Time  0.142628
2021-09-15 23:49:39.131599 : Epoch  9, Batch    165, Loss  0.598741, Average Loss  0.602215, Time  0.236255
2021-09-15 23:49:40.294864 : Epoch  3, Batch   1537, Loss  0.865858, Average Loss  0.869422, Time  0.265660
2021-09-15 23:49:40.662381 : Epoch  9, Batch    166, Loss  0.595994, Average Loss  0.602188, Time  0.236439
2021-09-15 23:49:40.742513 : Epoch  1, Batch    521, Loss  0.896749, Average Loss  0.910069, Time  0.240625
2021-09-15 23:49:42.188815 : Epoch  9, Batch    167, Loss  0.603984, Average Loss  0.602142, Time  0.237045
2021-09-15 23:49:43.320195 : Epoch  1, Batch    522, Loss  0.909728, Average Loss  0.910051, Time  0.240786
2021-09-15 23:49:43.326565 : Epoch  3, Batch   1538, Loss  0.893271, Average Loss  0.869670, Time  0.265869
2021-09-15 23:49:43.719945 : Epoch  9, Batch    168, Loss  0.601806, Average Loss  0.602146, Time  0.236315
2021-09-15 23:49:45.242054 : Epoch  9, Batch    169, Loss  0.607178, Average Loss  0.602107, Time  0.236157
2021-09-15 23:49:45.907178 : Epoch  1, Batch    523, Loss  0.901891, Average Loss  0.909877, Time  0.240472
2021-09-15 23:49:46.358192 : Epoch  3, Batch   1539, Loss  0.857430, Average Loss  0.869480, Time  0.265241
2021-09-15 23:49:46.767050 : Epoch  9, Batch    170, Loss  0.598926, Average Loss  0.602110, Time  0.235872
2021-09-15 23:49:48.300015 : Epoch  9, Batch    171, Loss  0.593378, Average Loss  0.602085, Time  0.237608
2021-09-15 23:49:48.494845 : Epoch  1, Batch    524, Loss  0.900387, Average Loss  0.909828, Time  0.241025
2021-09-15 23:49:49.364507 : Epoch  3, Batch   1540, Loss  0.870696, Average Loss  0.869460, Time  0.266933
2021-09-15 23:49:49.835432 : Epoch  9, Batch    172, Loss  0.614558, Average Loss  0.602102, Time  0.236259
2021-09-15 23:49:51.071660 : Epoch  1, Batch    525, Loss  0.896122, Average Loss  0.909767, Time  0.241221
2021-09-15 23:49:51.352903 : Epoch  9, Batch    173, Loss  0.580867, Average Loss  0.601989, Time  0.236166
2021-09-15 23:49:52.395821 : Epoch  3, Batch   1541, Loss  0.858564, Average Loss  0.869453, Time  0.276073
2021-09-15 23:49:52.892226 : Epoch  9, Batch    174, Loss  0.606170, Average Loss  0.602017, Time  0.236178
2021-09-15 23:49:53.657123 : Epoch  1, Batch    526, Loss  0.887845, Average Loss  0.909516, Time  0.240328
2021-09-15 23:49:55.392382 : Epoch  3, Batch   1542, Loss  0.869190, Average Loss  0.869372, Time  0.266830
2021-09-15 23:49:56.234504 : Epoch  1, Batch    527, Loss  0.898695, Average Loss  0.909320, Time  0.241103
2021-09-15 23:49:56.788953 : Epoch  9, Batch    175, Loss  0.601133, Average Loss  0.601988, Time  0.271352
2021-09-15 23:49:58.340516 : Epoch  9, Batch    176, Loss  0.612543, Average Loss  0.602087, Time  0.250601
2021-09-15 23:49:58.401086 : Epoch  3, Batch   1543, Loss  0.857904, Average Loss  0.869368, Time  0.265794
2021-09-15 23:49:58.836193 : Epoch  1, Batch    528, Loss  0.894068, Average Loss  0.909175, Time  0.240875
2021-09-15 23:49:59.872264 : Epoch  9, Batch    177, Loss  0.600517, Average Loss  0.602132, Time  0.236787
2021-09-15 23:50:01.411980 : Epoch  3, Batch   1544, Loss  0.867577, Average Loss  0.869376, Time  0.265609
2021-09-15 23:50:01.435290 : Epoch  1, Batch    529, Loss  0.877908, Average Loss  0.908947, Time  0.241973
2021-09-15 23:50:02.934339 : Epoch  9, Batch    179, Loss  0.600375, Average Loss  0.602089, Time  0.235832
2021-09-15 23:50:04.015001 : Epoch  1, Batch    530, Loss  0.887554, Average Loss  0.908733, Time  0.240256
2021-09-15 23:50:04.454131 : Epoch  3, Batch   1545, Loss  0.865006, Average Loss  0.869297, Time  0.267562
2021-09-15 23:50:04.464869 : Epoch  9, Batch    180, Loss  0.602038, Average Loss  0.602071, Time  0.237558
2021-09-15 23:50:06.033125 : Epoch  9, Batch    181, Loss  0.597780, Average Loss  0.602045, Time  0.236135
2021-09-15 23:50:06.598453 : Epoch  1, Batch    531, Loss  0.897682, Average Loss  0.908605, Time  0.240145
2021-09-15 23:50:07.471083 : Epoch  3, Batch   1546, Loss  0.886074, Average Loss  0.869354, Time  0.265173
2021-09-15 23:50:07.561419 : Epoch  9, Batch    182, Loss  0.595126, Average Loss  0.602018, Time  0.235728
2021-09-15 23:50:09.078813 : Epoch  9, Batch    183, Loss  0.593322, Average Loss  0.602009, Time  0.236340
2021-09-15 23:50:09.186768 : Epoch  1, Batch    532, Loss  0.892770, Average Loss  0.908489, Time  0.240137
2021-09-15 23:50:10.487719 : Epoch  3, Batch   1547, Loss  0.882257, Average Loss  0.869415, Time  0.266656
2021-09-15 23:50:10.601557 : Epoch  9, Batch    184, Loss  0.597860, Average Loss  0.601987, Time  0.236523
2021-09-15 23:50:11.775239 : Epoch  1, Batch    533, Loss  0.905862, Average Loss  0.908490, Time  0.241261
2021-09-15 23:50:12.113237 : Epoch  9, Batch    185, Loss  0.589373, Average Loss  0.601862, Time  0.235863
2021-09-15 23:50:13.496650 : Epoch  3, Batch   1548, Loss  0.869808, Average Loss  0.869396, Time  0.264847
2021-09-15 23:50:13.639440 : Epoch  9, Batch    186, Loss  0.602362, Average Loss  0.601927, Time  0.236691
2021-09-15 23:50:14.367623 : Epoch  1, Batch    534, Loss  0.907467, Average Loss  0.908506, Time  0.242603
2021-09-15 23:50:15.158246 : Epoch  9, Batch    187, Loss  0.600302, Average Loss  0.601929, Time  0.236432
2021-09-15 23:50:16.509414 : Epoch  3, Batch   1549, Loss  0.871996, Average Loss  0.869429, Time  0.266665
2021-09-15 23:50:16.692999 : Epoch  9, Batch    188, Loss  0.603316, Average Loss  0.601941, Time  0.236572
2021-09-15 23:50:16.960256 : Epoch  1, Batch    535, Loss  0.910422, Average Loss  0.908488, Time  0.241515
2021-09-15 23:50:18.218432 : Epoch  9, Batch    189, Loss  0.598146, Average Loss  0.601933, Time  0.235603
2021-09-15 23:50:19.542463 : Epoch  3, Batch   1550, Loss  0.864614, Average Loss  0.869400, Time  0.266354
2021-09-15 23:50:19.545400 : Epoch  1, Batch    536, Loss  0.898943, Average Loss  0.908354, Time  0.242186
2021-09-15 23:50:19.751077 : Epoch  9, Batch    190, Loss  0.586392, Average Loss  0.601882, Time  0.236172
2021-09-15 23:50:21.302072 : Epoch  9, Batch    191, Loss  0.606996, Average Loss  0.601915, Time  0.236510
2021-09-15 23:50:22.165624 : Epoch  1, Batch    537, Loss  0.887550, Average Loss  0.908052, Time  0.240622
2021-09-15 23:50:22.537597 : Epoch  3, Batch   1551, Loss  0.870099, Average Loss  0.869425, Time  0.265271
2021-09-15 23:50:22.837152 : Epoch  9, Batch    192, Loss  0.597653, Average Loss  0.601884, Time  0.236123
2021-09-15 23:50:24.363110 : Epoch  9, Batch    193, Loss  0.601826, Average Loss  0.601895, Time  0.236134
2021-09-15 23:50:24.757435 : Epoch  1, Batch    538, Loss  0.904893, Average Loss  0.907989, Time  0.241688
2021-09-15 23:50:25.521514 : Epoch  3, Batch   1552, Loss  0.887683, Average Loss  0.869605, Time  0.264760
2021-09-15 23:50:25.892610 : Epoch  9, Batch    194, Loss  0.596987, Average Loss  0.601866, Time  0.236599
2021-09-15 23:50:27.350849 : Epoch  1, Batch    539, Loss  0.883205, Average Loss  0.907804, Time  0.240226
2021-09-15 23:50:27.417959 : Epoch  9, Batch    195, Loss  0.608121, Average Loss  0.601941, Time  0.236192
2021-09-15 23:50:28.514922 : Epoch  3, Batch   1553, Loss  0.872788, Average Loss  0.869534, Time  0.266012
2021-09-15 23:50:28.956927 : Epoch  9, Batch    196, Loss  0.599901, Average Loss  0.601922, Time  0.235934
2021-09-15 23:50:29.944412 : Epoch  1, Batch    540, Loss  0.903555, Average Loss  0.907705, Time  0.240023
2021-09-15 23:50:30.486429 : Epoch  9, Batch    197, Loss  0.599175, Average Loss  0.601907, Time  0.237195
2021-09-15 23:50:31.532540 : Epoch  3, Batch   1554, Loss  0.881360, Average Loss  0.869648, Time  0.264834
2021-09-15 23:50:32.042441 : Epoch  9, Batch    198, Loss  0.594965, Average Loss  0.601833, Time  0.241057
2021-09-15 23:50:32.524719 : Epoch  1, Batch    541, Loss  0.920429, Average Loss  0.907639, Time  0.240036
2021-09-15 23:50:33.575706 : Epoch  9, Batch    199, Loss  0.590308, Average Loss  0.601751, Time  0.240414
2021-09-15 23:50:34.544988 : Epoch  3, Batch   1555, Loss  0.864760, Average Loss  0.869569, Time  0.265685
2021-09-15 23:50:35.100442 : Epoch  1, Batch    542, Loss  0.891631, Average Loss  0.907396, Time  0.240422
2021-09-15 23:50:35.128843 : Epoch  9, Batch    200, Loss  0.593322, Average Loss  0.601682, Time  0.236615
2021-09-15 23:50:36.692447 : Epoch  9, Batch    201, Loss  0.599173, Average Loss  0.601598, Time  0.235602
2021-09-15 23:50:37.553675 : Epoch  3, Batch   1556, Loss  0.860274, Average Loss  0.869404, Time  0.271045
2021-09-15 23:50:37.733851 : Epoch  1, Batch    543, Loss  0.899560, Average Loss  0.907311, Time  0.240873
2021-09-15 23:50:38.236400 : Epoch  9, Batch    202, Loss  0.597785, Average Loss  0.601538, Time  0.235706
2021-09-15 23:50:39.775079 : Epoch  9, Batch    203, Loss  0.615438, Average Loss  0.601604, Time  0.237025
2021-09-15 23:50:40.321396 : Epoch  1, Batch    544, Loss  0.903137, Average Loss  0.907136, Time  0.245105
2021-09-15 23:50:40.561430 : Epoch  3, Batch   1557, Loss  0.876550, Average Loss  0.869461, Time  0.266632
2021-09-15 23:50:41.309419 : Epoch  9, Batch    204, Loss  0.601708, Average Loss  0.601597, Time  0.236565
2021-09-15 23:50:42.910990 : Epoch  1, Batch    545, Loss  0.903280, Average Loss  0.907067, Time  0.240912
2021-09-15 23:50:43.575095 : Epoch  3, Batch   1558, Loss  0.877285, Average Loss  0.869467, Time  0.265339
2021-09-15 23:50:45.498210 : Epoch  1, Batch    546, Loss  0.893961, Average Loss  0.906991, Time  0.240237
2021-09-15 23:50:46.584490 : Epoch  3, Batch   1559, Loss  0.885128, Average Loss  0.869501, Time  0.266422
2021-09-15 23:50:48.085216 : Epoch  1, Batch    547, Loss  0.893951, Average Loss  0.906971, Time  0.241468
2021-09-15 23:50:49.602941 : Epoch  3, Batch   1560, Loss  0.871381, Average Loss  0.869436, Time  0.266432
2021-09-15 23:50:50.682812 : Epoch  1, Batch    548, Loss  0.906007, Average Loss  0.906853, Time  0.243303
2021-09-15 23:50:52.637494 : Epoch  3, Batch   1561, Loss  0.860810, Average Loss  0.869485, Time  0.266325
2021-09-15 23:50:53.278655 : Epoch  1, Batch    549, Loss  0.912575, Average Loss  0.906718, Time  0.243509
2021-09-15 23:50:55.665098 : Epoch  3, Batch   1562, Loss  0.883073, Average Loss  0.869610, Time  0.268382
2021-09-15 23:50:55.879779 : Epoch  1, Batch    550, Loss  0.896763, Average Loss  0.906699, Time  0.241567
2021-09-15 23:50:58.460127 : Epoch  1, Batch    551, Loss  0.881116, Average Loss  0.906442, Time  0.241915
2021-09-15 23:50:58.699800 : Epoch  3, Batch   1563, Loss  0.878167, Average Loss  0.869760, Time  0.265112
2021-09-15 23:51:01.054018 : Epoch  1, Batch    552, Loss  0.875840, Average Loss  0.906086, Time  0.240417
2021-09-15 23:51:01.694920 : Epoch  3, Batch   1564, Loss  0.882535, Average Loss  0.869789, Time  0.265830
2021-09-15 23:51:03.648250 : Epoch  1, Batch    553, Loss  0.884780, Average Loss  0.905922, Time  0.240792
2021-09-15 23:51:04.673138 : Epoch  3, Batch   1565, Loss  0.872472, Average Loss  0.869800, Time  0.265508
2021-09-15 23:51:06.240873 : Epoch  1, Batch    554, Loss  0.906495, Average Loss  0.905840, Time  0.241071
2021-09-15 23:51:07.716691 : Epoch  3, Batch   1566, Loss  0.871504, Average Loss  0.869736, Time  0.265660
2021-09-15 23:51:08.846563 : Epoch  1, Batch    555, Loss  0.864731, Average Loss  0.905645, Time  0.240666
2021-09-15 23:51:10.727144 : Epoch  3, Batch   1567, Loss  0.871829, Average Loss  0.869761, Time  0.265708
2021-09-15 23:51:11.441410 : Epoch  1, Batch    556, Loss  0.916725, Average Loss  0.905684, Time  0.241029
2021-09-15 23:51:13.752222 : Epoch  3, Batch   1568, Loss  0.848018, Average Loss  0.869596, Time  0.266356
2021-09-15 23:51:14.051922 : Epoch  1, Batch    557, Loss  0.896845, Average Loss  0.905745, Time  0.240515
2021-09-15 23:51:16.644122 : Epoch  1, Batch    558, Loss  0.902027, Average Loss  0.905656, Time  0.240455
2021-09-15 23:51:16.773220 : Epoch  3, Batch   1569, Loss  0.868144, Average Loss  0.869619, Time  0.265539
2021-09-15 23:51:19.238483 : Epoch  1, Batch    559, Loss  0.899927, Average Loss  0.905507, Time  0.239909
2021-09-15 23:51:19.740645 : Epoch  3, Batch   1570, Loss  0.868174, Average Loss  0.869696, Time  0.264678
2021-09-15 23:51:21.832558 : Epoch  1, Batch    560, Loss  0.901703, Average Loss  0.905395, Time  0.239933
2021-09-15 23:51:22.736243 : Epoch  3, Batch   1571, Loss  0.889140, Average Loss  0.869738, Time  0.277922
2021-09-15 23:51:24.417048 : Epoch  1, Batch    561, Loss  0.872526, Average Loss  0.905225, Time  0.240075
2021-09-15 23:51:25.780009 : Epoch  3, Batch   1572, Loss  0.880724, Average Loss  0.869789, Time  0.266528
2021-09-15 23:51:27.028214 : Epoch  1, Batch    562, Loss  0.895100, Average Loss  0.905179, Time  0.241169
2021-09-15 23:51:28.799377 : Epoch  3, Batch   1573, Loss  0.869625, Average Loss  0.869800, Time  0.265174
2021-09-15 23:51:29.622172 : Epoch  1, Batch    563, Loss  0.909656, Average Loss  0.905169, Time  0.240362
2021-09-15 23:51:31.804680 : Epoch  3, Batch   1574, Loss  0.859054, Average Loss  0.869760, Time  0.266392
2021-09-15 23:51:32.217913 : Epoch  1, Batch    564, Loss  0.881838, Average Loss  0.904990, Time  0.241175
2021-09-15 23:51:34.811091 : Epoch  1, Batch    565, Loss  0.902831, Average Loss  0.904865, Time  0.240298
2021-09-15 23:51:34.820339 : Epoch  3, Batch   1575, Loss  0.883830, Average Loss  0.869884, Time  0.266014
2021-09-15 23:51:37.399861 : Epoch  1, Batch    566, Loss  0.881810, Average Loss  0.904717, Time  0.239928
2021-09-15 23:51:37.855326 : Epoch  3, Batch   1576, Loss  0.850180, Average Loss  0.869779, Time  0.265077
2021-09-15 23:51:38.665749 : CheckPoint: Validation Loss  0.00025504, Best Loss  0.00024058
2021-09-15 23:51:39.989148 : Epoch  1, Batch    567, Loss  0.900605, Average Loss  0.904584, Time  0.240096
2021-09-15 23:51:40.233164 : Epoch  9, Batch    205, Loss  0.610940, Average Loss  0.601627, Time  0.259029
2021-09-15 23:51:40.850169 : Epoch  3, Batch   1577, Loss  0.856336, Average Loss  0.869739, Time  0.264962
2021-09-15 23:51:41.769983 : Epoch  9, Batch    206, Loss  0.601902, Average Loss  0.601647, Time  0.242328
2021-09-15 23:51:42.581148 : Epoch  1, Batch    568, Loss  0.895493, Average Loss  0.904548, Time  0.239780
2021-09-15 23:51:43.310984 : Epoch  9, Batch    207, Loss  0.600623, Average Loss  0.601631, Time  0.236323
2021-09-15 23:51:43.868295 : Epoch  3, Batch   1578, Loss  0.866663, Average Loss  0.869679, Time  0.265786
2021-09-15 23:51:44.857160 : Epoch  9, Batch    208, Loss  0.598162, Average Loss  0.601587, Time  0.236397
2021-09-15 23:51:45.175476 : Epoch  1, Batch    569, Loss  0.892003, Average Loss  0.904400, Time  0.239979
2021-09-15 23:51:46.398326 : Epoch  9, Batch    209, Loss  0.604667, Average Loss  0.601581, Time  0.235847
2021-09-15 23:51:46.882467 : Epoch  3, Batch   1579, Loss  0.880706, Average Loss  0.869727, Time  0.265811
2021-09-15 23:51:47.768666 : Epoch  1, Batch    570, Loss  0.890255, Average Loss  0.904294, Time  0.240430
2021-09-15 23:51:47.940461 : Epoch  9, Batch    210, Loss  0.603664, Average Loss  0.601639, Time  0.236501
2021-09-15 23:51:49.466053 : Epoch  9, Batch    211, Loss  0.598724, Average Loss  0.601586, Time  0.235759
2021-09-15 23:51:49.874899 : Epoch  3, Batch   1580, Loss  0.863954, Average Loss  0.869759, Time  0.265526
2021-09-15 23:51:50.360717 : Epoch  1, Batch    571, Loss  0.884699, Average Loss  0.904054, Time  0.240941
2021-09-15 23:51:51.002428 : Epoch  9, Batch    212, Loss  0.586306, Average Loss  0.601492, Time  0.235851
2021-09-15 23:51:52.543211 : Epoch  9, Batch    213, Loss  0.597660, Average Loss  0.601455, Time  0.238350
2021-09-15 23:51:52.913019 : Epoch  3, Batch   1581, Loss  0.874287, Average Loss  0.869852, Time  0.265686
2021-09-15 23:51:52.945427 : Epoch  1, Batch    572, Loss  0.901067, Average Loss  0.904007, Time  0.240299
2021-09-15 23:51:54.083929 : Epoch  9, Batch    214, Loss  0.617639, Average Loss  0.601489, Time  0.237697
2021-09-15 23:51:55.543973 : Epoch  1, Batch    573, Loss  0.882826, Average Loss  0.903794, Time  0.240372
2021-09-15 23:51:55.633237 : Epoch  9, Batch    215, Loss  0.602918, Average Loss  0.601497, Time  0.236537
2021-09-15 23:51:55.951557 : Epoch  3, Batch   1582, Loss  0.853103, Average Loss  0.869835, Time  0.267215
2021-09-15 23:51:57.183401 : Epoch  9, Batch    216, Loss  0.596664, Average Loss  0.601460, Time  0.235941
2021-09-15 23:51:58.141142 : Epoch  1, Batch    574, Loss  0.899600, Average Loss  0.903740, Time  0.241247
2021-09-15 23:51:58.722258 : Epoch  9, Batch    217, Loss  0.614211, Average Loss  0.601506, Time  0.236044
2021-09-15 23:51:59.009037 : Epoch  3, Batch   1583, Loss  0.875890, Average Loss  0.869878, Time  0.265409
2021-09-15 23:52:00.263562 : Epoch  9, Batch    218, Loss  0.596936, Average Loss  0.601489, Time  0.237975
2021-09-15 23:52:00.737602 : Epoch  1, Batch    575, Loss  0.886552, Average Loss  0.903587, Time  0.241165
2021-09-15 23:52:01.803056 : Epoch  9, Batch    219, Loss  0.602977, Average Loss  0.601502, Time  0.238236
2021-09-15 23:52:02.002840 : Epoch  3, Batch   1584, Loss  0.880927, Average Loss  0.869914, Time  0.265959
2021-09-15 23:52:03.318457 : Epoch  1, Batch    576, Loss  0.910268, Average Loss  0.903626, Time  0.241241
2021-09-15 23:52:03.358077 : Epoch  9, Batch    220, Loss  0.587257, Average Loss  0.601444, Time  0.236127
2021-09-15 23:52:04.900972 : Epoch  9, Batch    221, Loss  0.605695, Average Loss  0.601508, Time  0.238324
2021-09-15 23:52:05.005970 : Epoch  3, Batch   1585, Loss  0.888703, Average Loss  0.869940, Time  0.266527
2021-09-15 23:52:05.915629 : Epoch  1, Batch    577, Loss  0.896904, Average Loss  0.903600, Time  0.241343
2021-09-15 23:52:06.448993 : Epoch  9, Batch    222, Loss  0.607464, Average Loss  0.601573, Time  0.236001
2021-09-15 23:52:08.003842 : Epoch  9, Batch    223, Loss  0.600661, Average Loss  0.601502, Time  0.237618
2021-09-15 23:52:08.020535 : Epoch  3, Batch   1586, Loss  0.877437, Average Loss  0.870064, Time  0.279260
2021-09-15 23:52:08.506243 : Epoch  1, Batch    578, Loss  0.914077, Average Loss  0.903621, Time  0.240316
2021-09-15 23:52:09.547876 : Epoch  9, Batch    224, Loss  0.605707, Average Loss  0.601509, Time  0.236233
2021-09-15 23:52:11.082836 : Epoch  3, Batch   1587, Loss  0.863784, Average Loss  0.870142, Time  0.267541
2021-09-15 23:52:11.090179 : Epoch  9, Batch    225, Loss  0.604862, Average Loss  0.601479, Time  0.236293
2021-09-15 23:52:11.152994 : Epoch  1, Batch    579, Loss  0.901973, Average Loss  0.903629, Time  0.240506
2021-09-15 23:52:12.646400 : Epoch  9, Batch    226, Loss  0.611459, Average Loss  0.601517, Time  0.235410
2021-09-15 23:52:13.761860 : Epoch  1, Batch    580, Loss  0.883697, Average Loss  0.903402, Time  0.239746
2021-09-15 23:52:14.079427 : Epoch  3, Batch   1588, Loss  0.866534, Average Loss  0.870117, Time  0.265293
2021-09-15 23:52:14.180890 : Epoch  9, Batch    227, Loss  0.598211, Average Loss  0.601546, Time  0.236043
2021-09-15 23:52:15.711768 : Epoch  9, Batch    228, Loss  0.593740, Average Loss  0.601518, Time  0.238549
2021-09-15 23:52:16.346108 : Epoch  1, Batch    581, Loss  0.908479, Average Loss  0.903353, Time  0.242516
2021-09-15 23:52:17.250239 : Epoch  9, Batch    229, Loss  0.599339, Average Loss  0.601477, Time  0.235819
2021-09-15 23:52:18.797170 : Epoch  9, Batch    230, Loss  0.599206, Average Loss  0.601468, Time  0.236269
2021-09-15 23:52:18.935916 : Epoch  1, Batch    582, Loss  0.888302, Average Loss  0.903125, Time  0.240319
2021-09-15 23:52:20.343722 : Epoch  9, Batch    231, Loss  0.601065, Average Loss  0.601486, Time  0.236001
2021-09-15 23:52:21.514117 : Epoch  1, Batch    583, Loss  0.903054, Average Loss  0.902999, Time  0.240732
2021-09-15 23:52:21.879403 : Epoch  9, Batch    232, Loss  0.595525, Average Loss  0.601438, Time  0.236147
2021-09-15 23:52:23.430018 : Epoch  9, Batch    233, Loss  0.596576, Average Loss  0.601384, Time  0.237631
2021-09-15 23:52:24.109097 : Epoch  1, Batch    584, Loss  0.897238, Average Loss  0.902949, Time  0.240554
2021-09-15 23:52:24.962606 : Epoch  9, Batch    234, Loss  0.608074, Average Loss  0.601401, Time  0.236102
2021-09-15 23:52:26.502017 : Epoch  9, Batch    235, Loss  0.594138, Average Loss  0.601398, Time  0.235748
2021-09-15 23:52:26.707955 : Epoch  1, Batch    585, Loss  0.873778, Average Loss  0.902762, Time  0.241940
2021-09-15 23:52:28.060632 : Epoch  9, Batch    236, Loss  0.596081, Average Loss  0.601362, Time  0.236646
2021-09-15 23:52:29.290311 : Epoch  1, Batch    586, Loss  0.886468, Average Loss  0.902630, Time  0.240762
2021-09-15 23:52:29.599647 : Epoch  9, Batch    237, Loss  0.606997, Average Loss  0.601407, Time  0.236727
2021-09-15 23:52:31.132206 : Epoch  9, Batch    238, Loss  0.603376, Average Loss  0.601380, Time  0.236010
2021-09-15 23:52:31.881629 : Epoch  1, Batch    587, Loss  0.883196, Average Loss  0.902474, Time  0.241045
2021-09-15 23:52:32.672664 : Epoch  9, Batch    239, Loss  0.607400, Average Loss  0.601457, Time  0.235945
2021-09-15 23:52:34.210036 : Epoch  9, Batch    240, Loss  0.599021, Average Loss  0.601376, Time  0.236610
2021-09-15 23:52:34.472009 : Epoch  1, Batch    588, Loss  0.885886, Average Loss  0.902240, Time  0.240654
2021-09-15 23:52:35.757514 : Epoch  9, Batch    241, Loss  0.601150, Average Loss  0.601372, Time  0.236449
2021-09-15 23:52:37.057017 : Epoch  1, Batch    589, Loss  0.882844, Average Loss  0.902079, Time  0.240717
2021-09-15 23:52:37.303738 : Epoch  9, Batch    242, Loss  0.593230, Average Loss  0.601296, Time  0.236922
2021-09-15 23:52:38.838508 : Epoch  9, Batch    243, Loss  0.587697, Average Loss  0.601223, Time  0.236912
2021-09-15 23:52:39.645684 : Epoch  1, Batch    590, Loss  0.905175, Average Loss  0.902060, Time  0.240804
2021-09-15 23:52:40.377322 : Epoch  9, Batch    244, Loss  0.603180, Average Loss  0.601242, Time  0.235884
2021-09-15 23:52:41.923446 : Epoch  9, Batch    245, Loss  0.594913, Average Loss  0.601169, Time  0.235694
2021-09-15 23:52:42.252618 : Epoch  1, Batch    591, Loss  0.908780, Average Loss  0.901932, Time  0.240356
2021-09-15 23:52:43.462997 : Epoch  9, Batch    246, Loss  0.603721, Average Loss  0.601162, Time  0.238123
2021-09-15 23:52:44.841337 : Epoch  1, Batch    592, Loss  0.895614, Average Loss  0.901746, Time  0.242417
2021-09-15 23:52:45.008455 : Epoch  9, Batch    247, Loss  0.603410, Average Loss  0.601152, Time  0.238467
2021-09-15 23:52:46.543913 : Epoch  9, Batch    248, Loss  0.596529, Average Loss  0.601061, Time  0.236455
2021-09-15 23:52:47.425558 : Epoch  1, Batch    593, Loss  0.877485, Average Loss  0.901659, Time  0.240202
2021-09-15 23:52:48.079439 : Epoch  9, Batch    249, Loss  0.602475, Average Loss  0.601100, Time  0.236291
2021-09-15 23:52:49.625115 : Epoch  9, Batch    250, Loss  0.600916, Average Loss  0.601037, Time  0.236735
2021-09-15 23:52:50.020532 : Epoch  1, Batch    594, Loss  0.901303, Average Loss  0.901561, Time  0.241052
2021-09-15 23:52:51.158154 : Epoch  9, Batch    251, Loss  0.603428, Average Loss  0.601045, Time  0.236441
2021-09-15 23:52:52.607669 : Epoch  1, Batch    595, Loss  0.887739, Average Loss  0.901358, Time  0.241128
2021-09-15 23:52:52.703693 : Epoch  9, Batch    252, Loss  0.592495, Average Loss  0.600944, Time  0.237482
2021-09-15 23:52:54.234560 : Epoch  9, Batch    253, Loss  0.595312, Average Loss  0.600904, Time  0.235894
2021-09-15 23:52:55.205192 : Epoch  1, Batch    596, Loss  0.873825, Average Loss  0.901164, Time  0.240218
2021-09-15 23:52:55.761035 : Epoch  9, Batch    254, Loss  0.604849, Average Loss  0.600932, Time  0.235761
2021-09-15 23:52:57.317323 : Epoch  9, Batch    255, Loss  0.604408, Average Loss  0.600929, Time  0.238486
2021-09-15 23:52:57.795240 : Epoch  1, Batch    597, Loss  0.863811, Average Loss  0.900913, Time  0.241887
2021-09-15 23:52:58.866133 : Epoch  9, Batch    256, Loss  0.609312, Average Loss  0.600980, Time  0.239380
2021-09-15 23:53:00.384944 : Epoch  1, Batch    598, Loss  0.902875, Average Loss  0.900776, Time  0.240477
2021-09-15 23:53:00.427492 : Epoch  9, Batch    257, Loss  0.590394, Average Loss  0.600905, Time  0.235908
2021-09-15 23:53:01.971146 : Epoch  9, Batch    258, Loss  0.594230, Average Loss  0.600795, Time  0.236583
2021-09-15 23:53:03.012376 : Epoch  1, Batch    599, Loss  0.890841, Average Loss  0.900632, Time  0.248972
2021-09-15 23:53:03.511695 : Epoch  9, Batch    259, Loss  0.606656, Average Loss  0.600794, Time  0.236286
2021-09-15 23:53:05.037688 : Epoch  9, Batch    260, Loss  0.606152, Average Loss  0.600815, Time  0.235945
2021-09-15 23:53:05.602609 : Epoch  1, Batch    600, Loss  0.907407, Average Loss  0.900713, Time  0.242305
2021-09-15 23:53:06.564837 : Epoch  9, Batch    261, Loss  0.599868, Average Loss  0.600854, Time  0.236066
2021-09-15 23:53:08.096512 : Epoch  9, Batch    262, Loss  0.596478, Average Loss  0.600870, Time  0.236492
2021-09-15 23:53:09.615258 : Epoch  9, Batch    263, Loss  0.596637, Average Loss  0.600867, Time  0.236027
2021-09-15 23:53:11.135472 : Epoch  9, Batch    264, Loss  0.600931, Average Loss  0.600937, Time  0.236290
2021-09-15 23:53:12.667789 : Epoch  9, Batch    265, Loss  0.602563, Average Loss  0.600887, Time  0.235826
2021-09-15 23:53:14.198537 : Epoch  9, Batch    266, Loss  0.597184, Average Loss  0.600881, Time  0.236439
2021-09-15 23:53:15.740419 : Epoch  9, Batch    267, Loss  0.601640, Average Loss  0.600827, Time  0.235514
2021-09-15 23:53:17.274985 : Epoch  9, Batch    268, Loss  0.600716, Average Loss  0.600862, Time  0.236899
2021-09-15 23:53:18.821115 : Epoch  9, Batch    269, Loss  0.596795, Average Loss  0.600815, Time  0.235908
2021-09-15 23:53:20.356668 : Epoch  9, Batch    270, Loss  0.602072, Average Loss  0.600794, Time  0.236399
2021-09-15 23:53:21.893431 : Epoch  9, Batch    271, Loss  0.602226, Average Loss  0.600805, Time  0.235610
2021-09-15 23:53:23.433759 : Epoch  9, Batch    272, Loss  0.614351, Average Loss  0.600871, Time  0.236890
2021-09-15 23:53:24.976327 : Epoch  9, Batch    273, Loss  0.602730, Average Loss  0.600867, Time  0.236807
2021-09-15 23:53:26.525412 : Epoch  9, Batch    274, Loss  0.603961, Average Loss  0.600909, Time  0.235653
2021-09-15 23:53:26.667231 : Epoch  9, Batch    275, Loss  0.564917, Average Loss  0.600700, Time  0.092725
2021-09-15 23:53:30.551398 : Epoch  9, Batch    276, Loss  0.612841, Average Loss  0.600801, Time  0.267867
2021-09-15 23:53:32.093118 : Epoch  9, Batch    277, Loss  0.605313, Average Loss  0.600892, Time  0.239023
2021-09-15 23:53:33.627438 : Epoch  9, Batch    278, Loss  0.585002, Average Loss  0.600825, Time  0.236175
2021-09-15 23:53:35.155575 : Epoch  9, Batch    279, Loss  0.606201, Average Loss  0.600836, Time  0.235902
2021-09-15 23:53:36.685419 : Epoch  9, Batch    280, Loss  0.608684, Average Loss  0.600892, Time  0.236510
2021-09-15 23:53:38.220388 : Epoch  9, Batch    281, Loss  0.616852, Average Loss  0.600946, Time  0.237173
2021-09-15 23:53:39.762662 : Epoch  9, Batch    282, Loss  0.599660, Average Loss  0.600898, Time  0.236343
2021-09-15 23:53:41.290007 : Epoch  9, Batch    283, Loss  0.598914, Average Loss  0.600866, Time  0.236094
2021-09-15 23:53:42.818453 : Epoch  9, Batch    284, Loss  0.601804, Average Loss  0.600856, Time  0.236218
2021-09-15 23:53:44.355029 : Epoch  9, Batch    285, Loss  0.611491, Average Loss  0.600874, Time  0.236615
2021-09-15 23:53:45.883508 : Epoch  9, Batch    286, Loss  0.601775, Average Loss  0.600842, Time  0.237835
2021-09-15 23:53:47.417990 : Epoch  9, Batch    287, Loss  0.603667, Average Loss  0.600823, Time  0.236943
2021-09-15 23:53:48.945427 : Epoch  9, Batch    288, Loss  0.592767, Average Loss  0.600762, Time  0.236360
2021-09-15 23:53:50.478202 : Epoch  9, Batch    289, Loss  0.595775, Average Loss  0.600710, Time  0.236466
2021-09-15 23:53:52.010008 : Epoch  9, Batch    290, Loss  0.602535, Average Loss  0.600722, Time  0.238032
2021-09-15 23:53:53.541655 : Epoch  9, Batch    291, Loss  0.600989, Average Loss  0.600773, Time  0.235431
2021-09-15 23:53:55.083131 : Epoch  9, Batch    292, Loss  0.605172, Average Loss  0.600773, Time  0.236651
2021-09-15 23:53:56.612622 : Epoch  9, Batch    293, Loss  0.611343, Average Loss  0.600883, Time  0.236897
2021-09-15 23:53:58.162950 : Epoch  9, Batch    294, Loss  0.600214, Average Loss  0.600858, Time  0.236314
2021-09-15 23:53:59.696066 : Epoch  9, Batch    295, Loss  0.593601, Average Loss  0.600840, Time  0.236157
2021-09-15 23:54:01.224102 : Epoch  9, Batch    296, Loss  0.613264, Average Loss  0.600871, Time  0.235840
2021-09-15 23:54:02.758023 : Epoch  9, Batch    297, Loss  0.599166, Average Loss  0.600865, Time  0.241092
2021-09-15 23:54:04.288471 : Epoch  9, Batch    298, Loss  0.596417, Average Loss  0.600849, Time  0.236659
2021-09-15 23:54:05.821628 : Epoch  9, Batch    299, Loss  0.604768, Average Loss  0.600863, Time  0.235793
2021-09-15 23:54:07.360428 : Epoch  9, Batch    300, Loss  0.594701, Average Loss  0.600810, Time  0.237876
2021-09-15 23:54:08.897695 : Epoch  9, Batch    301, Loss  0.611656, Average Loss  0.600849, Time  0.235771
2021-09-15 23:54:10.428010 : Epoch  9, Batch    302, Loss  0.602618, Average Loss  0.600880, Time  0.235694
2021-09-15 23:54:11.975119 : Epoch  9, Batch    303, Loss  0.596486, Average Loss  0.600839, Time  0.237023
2021-09-15 23:54:13.513133 : Epoch  9, Batch    304, Loss  0.595430, Average Loss  0.600753, Time  0.236650
2021-09-15 23:55:10.934750 : CheckPoint: Validation Loss  0.00026282, Best Loss  0.00024058
2021-09-15 23:55:12.482136 : Epoch  9, Batch    305, Loss  0.608238, Average Loss  0.600818, Time  0.236476
2021-09-15 23:55:14.023330 : Epoch  9, Batch    306, Loss  0.601020, Average Loss  0.600893, Time  0.235806
2021-09-15 23:55:15.584361 : Epoch  9, Batch    307, Loss  0.599325, Average Loss  0.600920, Time  0.235902
2021-09-15 23:55:17.118143 : Epoch  9, Batch    308, Loss  0.602077, Average Loss  0.600937, Time  0.236434
2021-09-15 23:55:18.656066 : Epoch  9, Batch    309, Loss  0.597627, Average Loss  0.600860, Time  0.235852
2021-09-15 23:55:20.194251 : Epoch  9, Batch    310, Loss  0.594949, Average Loss  0.600810, Time  0.236703
2021-09-15 23:55:21.751198 : Epoch  9, Batch    311, Loss  0.608903, Average Loss  0.600803, Time  0.235750
2021-09-15 23:55:23.293399 : Epoch  9, Batch    312, Loss  0.599481, Average Loss  0.600818, Time  0.235810
2021-09-15 23:55:24.831089 : Epoch  9, Batch    313, Loss  0.610445, Average Loss  0.600884, Time  0.235613
2021-09-15 23:55:26.381431 : Epoch  9, Batch    314, Loss  0.585837, Average Loss  0.600825, Time  0.239057
2021-09-15 23:55:27.925147 : Epoch  9, Batch    315, Loss  0.586695, Average Loss  0.600763, Time  0.236288
2021-09-15 23:55:29.477068 : Epoch  9, Batch    316, Loss  0.594700, Average Loss  0.600755, Time  0.236179
2021-09-15 23:55:31.022116 : Epoch  9, Batch    317, Loss  0.612440, Average Loss  0.600759, Time  0.236643
2021-09-15 23:55:32.554173 : Epoch  9, Batch    318, Loss  0.605496, Average Loss  0.600821, Time  0.235627
2021-09-15 23:55:34.088079 : Epoch  9, Batch    319, Loss  0.603929, Average Loss  0.600809, Time  0.241381
2021-09-15 23:55:35.620446 : Epoch  9, Batch    320, Loss  0.596415, Average Loss  0.600788, Time  0.235973
2021-09-15 23:55:37.156982 : Epoch  9, Batch    321, Loss  0.613222, Average Loss  0.600857, Time  0.237998
2021-09-15 23:55:38.688244 : Epoch  9, Batch    322, Loss  0.601781, Average Loss  0.600870, Time  0.238338
2021-09-15 23:55:40.229154 : Epoch  9, Batch    323, Loss  0.595715, Average Loss  0.600808, Time  0.238040
2021-09-15 23:55:41.760451 : Epoch  9, Batch    324, Loss  0.598513, Average Loss  0.600810, Time  0.236118
2021-09-15 23:55:43.302634 : Epoch  9, Batch    325, Loss  0.607508, Average Loss  0.600763, Time  0.235582
2021-09-15 23:55:44.842100 : Epoch  9, Batch    326, Loss  0.598991, Average Loss  0.600760, Time  0.236047
2021-09-15 23:55:46.380590 : Epoch  9, Batch    327, Loss  0.605463, Average Loss  0.600769, Time  0.238847
2021-09-15 23:55:47.919374 : Epoch  9, Batch    328, Loss  0.606042, Average Loss  0.600770, Time  0.235953
2021-09-15 23:55:49.456208 : Epoch  9, Batch    329, Loss  0.605082, Average Loss  0.600756, Time  0.236139
2021-09-15 23:55:50.982045 : Epoch  9, Batch    330, Loss  0.606843, Average Loss  0.600782, Time  0.237082
2021-09-15 23:55:52.519114 : Epoch  9, Batch    331, Loss  0.602611, Average Loss  0.600777, Time  0.236137
2021-09-15 23:55:54.052836 : Epoch  9, Batch    332, Loss  0.613626, Average Loss  0.600866, Time  0.236521
2021-09-15 23:55:55.599901 : Epoch  9, Batch    333, Loss  0.602204, Average Loss  0.600910, Time  0.236465
2021-09-15 23:55:57.136269 : Epoch  9, Batch    334, Loss  0.609706, Average Loss  0.600949, Time  0.236009
2021-09-15 23:55:58.674402 : Epoch  9, Batch    335, Loss  0.598382, Average Loss  0.600883, Time  0.235469
2021-09-15 23:56:00.218435 : Epoch  9, Batch    336, Loss  0.599882, Average Loss  0.600848, Time  0.235929
2021-09-15 23:56:01.779987 : Epoch  9, Batch    337, Loss  0.604978, Average Loss  0.600796, Time  0.236443
2021-09-15 23:56:03.310424 : Epoch  9, Batch    338, Loss  0.598723, Average Loss  0.600837, Time  0.237253
2021-09-15 23:56:04.866402 : Epoch  9, Batch    339, Loss  0.600641, Average Loss  0.600784, Time  0.240671
2021-09-15 23:56:06.409299 : Epoch  9, Batch    340, Loss  0.608520, Average Loss  0.600830, Time  0.236226
2021-09-15 23:56:07.951418 : Epoch  9, Batch    341, Loss  0.608187, Average Loss  0.600892, Time  0.239115
2021-09-15 23:56:09.487022 : Epoch  9, Batch    342, Loss  0.595611, Average Loss  0.600865, Time  0.237214
2021-09-15 23:56:11.022120 : Epoch  9, Batch    343, Loss  0.605680, Average Loss  0.600952, Time  0.237594
2021-09-15 23:56:12.556609 : Epoch  9, Batch    344, Loss  0.592114, Average Loss  0.600941, Time  0.236619
2021-09-15 23:56:14.097914 : Epoch  9, Batch    345, Loss  0.599254, Average Loss  0.601019, Time  0.236342
2021-09-15 23:56:15.627876 : Epoch  9, Batch    346, Loss  0.604006, Average Loss  0.601009, Time  0.235945
2021-09-15 23:56:17.172941 : Epoch  9, Batch    347, Loss  0.582703, Average Loss  0.600889, Time  0.236053
2021-09-15 23:56:18.712773 : Epoch  9, Batch    348, Loss  0.587510, Average Loss  0.600802, Time  0.237074
2021-09-15 23:56:20.249405 : Epoch  9, Batch    349, Loss  0.605701, Average Loss  0.600813, Time  0.236226
2021-09-15 23:56:21.803144 : Epoch  9, Batch    350, Loss  0.598099, Average Loss  0.600811, Time  0.238494
2021-09-15 23:56:23.342643 : Epoch  9, Batch    351, Loss  0.595576, Average Loss  0.600803, Time  0.236330
2021-09-15 23:56:24.898397 : Epoch  9, Batch    352, Loss  0.593716, Average Loss  0.600708, Time  0.239246
2021-09-15 23:56:26.452245 : Epoch  9, Batch    353, Loss  0.605875, Average Loss  0.600764, Time  0.236940
2021-09-15 23:56:27.986864 : Epoch  9, Batch    354, Loss  0.602528, Average Loss  0.600801, Time  0.235894
2021-09-15 23:56:29.527017 : Epoch  9, Batch    355, Loss  0.598583, Average Loss  0.600792, Time  0.239032
2021-09-15 23:56:31.068032 : Epoch  9, Batch    356, Loss  0.599428, Average Loss  0.600798, Time  0.236388
2021-09-15 23:56:32.604360 : Epoch  9, Batch    357, Loss  0.612711, Average Loss  0.600846, Time  0.236435
2021-09-15 23:56:34.134481 : Epoch  9, Batch    358, Loss  0.601153, Average Loss  0.600822, Time  0.236110
2021-09-15 23:56:35.669197 : Epoch  9, Batch    359, Loss  0.605534, Average Loss  0.600829, Time  0.237046
2021-09-15 23:56:37.199928 : Epoch  9, Batch    360, Loss  0.592146, Average Loss  0.600783, Time  0.236149
2021-09-15 23:56:38.742904 : Epoch  9, Batch    361, Loss  0.584537, Average Loss  0.600739, Time  0.236394
2021-09-15 23:56:40.289669 : Epoch  9, Batch    362, Loss  0.599345, Average Loss  0.600692, Time  0.239485
2021-09-15 23:56:41.819081 : Epoch  9, Batch    363, Loss  0.601375, Average Loss  0.600725, Time  0.236552
2021-09-15 23:56:43.356865 : Epoch  9, Batch    364, Loss  0.596028, Average Loss  0.600699, Time  0.237146
2021-09-15 23:56:44.899036 : Epoch  9, Batch    365, Loss  0.588823, Average Loss  0.600649, Time  0.236941
2021-09-15 23:56:46.432464 : Epoch  9, Batch    366, Loss  0.602516, Average Loss  0.600682, Time  0.236051
2021-09-15 23:56:47.985410 : Epoch  9, Batch    367, Loss  0.591625, Average Loss  0.600620, Time  0.236590
2021-09-15 23:56:49.527129 : Epoch  9, Batch    368, Loss  0.615506, Average Loss  0.600688, Time  0.236007
2021-09-15 23:56:51.069855 : Epoch  9, Batch    369, Loss  0.596796, Average Loss  0.600636, Time  0.236923
2021-09-15 23:56:52.608844 : Epoch  9, Batch    370, Loss  0.599490, Average Loss  0.600639, Time  0.236046
2021-09-15 23:56:53.801464 : CheckPoint: Validation Loss  0.00029773, Best Loss  0.00029379
2021-09-15 23:56:54.146446 : Epoch  9, Batch    371, Loss  0.601712, Average Loss  0.600681, Time  0.235705
2021-09-15 23:56:55.689439 : Epoch  9, Batch    372, Loss  0.600684, Average Loss  0.600612, Time  0.235860
2021-09-15 23:56:56.809647 : Epoch  3, Batch   1589, Loss  0.847524, Average Loss  0.869975, Time  0.268142
2021-09-15 23:56:57.223959 : Epoch  9, Batch    373, Loss  0.602150, Average Loss  0.600718, Time  0.235762
2021-09-15 23:56:58.757024 : Epoch  9, Batch    374, Loss  0.611021, Average Loss  0.600742, Time  0.236048
2021-09-15 23:56:59.841861 : Epoch  3, Batch   1590, Loss  0.847594, Average Loss  0.870005, Time  0.265638
2021-09-15 23:57:02.635669 : Epoch  9, Batch    375, Loss  0.607253, Average Loss  0.600773, Time  0.267269
2021-09-15 23:57:02.886383 : Epoch  3, Batch   1591, Loss  0.868900, Average Loss  0.870001, Time  0.267978
2021-09-15 23:57:04.169477 : Epoch  9, Batch    376, Loss  0.605811, Average Loss  0.600739, Time  0.238719
2021-09-15 23:57:05.696082 : Epoch  9, Batch    377, Loss  0.608458, Average Loss  0.600779, Time  0.236330
2021-09-15 23:57:05.949397 : Epoch  3, Batch   1592, Loss  0.871226, Average Loss  0.869984, Time  0.264935
2021-09-15 23:57:07.236019 : Epoch  9, Batch    378, Loss  0.601621, Average Loss  0.600796, Time  0.236563
2021-09-15 23:57:08.653276 : CheckPoint: Validation Loss  0.00030468, Best Loss  0.00030468
2021-09-15 23:57:08.709766 : Best Model Updated
2021-09-15 23:57:08.770935 : Epoch  9, Batch    379, Loss  0.594751, Average Loss  0.600767, Time  0.236609
2021-09-15 23:57:08.966131 : Epoch  3, Batch   1593, Loss  0.862899, Average Loss  0.869995, Time  0.265150
2021-09-15 23:57:10.318616 : Epoch  9, Batch    380, Loss  0.601085, Average Loss  0.600763, Time  0.235793
2021-09-15 23:57:11.853429 : Epoch  9, Batch    381, Loss  0.606080, Average Loss  0.600804, Time  0.235450
2021-09-15 23:57:11.993289 : Epoch  3, Batch   1594, Loss  0.865971, Average Loss  0.869895, Time  0.266043
2021-09-15 23:57:12.122045 : Epoch  1, Batch    601, Loss  0.905110, Average Loss  0.900750, Time  0.241225
2021-09-15 23:57:13.388888 : Epoch  9, Batch    382, Loss  0.590268, Average Loss  0.600780, Time  0.235989
2021-09-15 23:57:14.716967 : Epoch  1, Batch    602, Loss  0.904467, Average Loss  0.900572, Time  0.240187
2021-09-15 23:57:14.924234 : Epoch  9, Batch    383, Loss  0.591486, Average Loss  0.600771, Time  0.235869
2021-09-15 23:57:15.011496 : Epoch  3, Batch   1595, Loss  0.859722, Average Loss  0.869782, Time  0.266034
2021-09-15 23:57:16.460379 : Epoch  9, Batch    384, Loss  0.598602, Average Loss  0.600774, Time  0.236475
2021-09-15 23:57:17.312833 : Epoch  1, Batch    603, Loss  0.895899, Average Loss  0.900535, Time  0.239954
2021-09-15 23:57:17.993999 : Epoch  9, Batch    385, Loss  0.614371, Average Loss  0.600899, Time  0.235807
2021-09-15 23:57:18.043191 : Epoch  3, Batch   1596, Loss  0.868895, Average Loss  0.869737, Time  0.265827
2021-09-15 23:57:19.524048 : Epoch  9, Batch    386, Loss  0.600927, Average Loss  0.600892, Time  0.236002
2021-09-15 23:57:19.902211 : Epoch  1, Batch    604, Loss  0.892106, Average Loss  0.900406, Time  0.240079
2021-09-15 23:57:21.052453 : Epoch  9, Batch    387, Loss  0.602341, Average Loss  0.600902, Time  0.236275
2021-09-15 23:57:21.095555 : Epoch  3, Batch   1597, Loss  0.878259, Average Loss  0.869778, Time  0.268319
2021-09-15 23:57:22.499561 : Epoch  1, Batch    605, Loss  0.885907, Average Loss  0.900302, Time  0.241018
2021-09-15 23:57:22.587190 : Epoch  9, Batch    388, Loss  0.602339, Average Loss  0.600898, Time  0.236294
2021-09-15 23:57:24.112865 : Epoch  3, Batch   1598, Loss  0.872857, Average Loss  0.869720, Time  0.265084
2021-09-15 23:57:24.115430 : Epoch  9, Batch    389, Loss  0.596880, Average Loss  0.600891, Time  0.235900
2021-09-15 23:57:25.089481 : Epoch  1, Batch    606, Loss  0.905871, Average Loss  0.900298, Time  0.240823
2021-09-15 23:57:25.682068 : Epoch  9, Batch    390, Loss  0.597971, Average Loss  0.600949, Time  0.236099
2021-09-15 23:57:27.142007 : Epoch  3, Batch   1599, Loss  0.865688, Average Loss  0.869676, Time  0.266248
2021-09-15 23:57:27.211943 : Epoch  9, Batch    391, Loss  0.598953, Average Loss  0.600909, Time  0.235767
2021-09-15 23:57:27.672978 : Epoch  1, Batch    607, Loss  0.902705, Average Loss  0.900339, Time  0.240717
2021-09-15 23:57:28.735401 : Epoch  9, Batch    392, Loss  0.611528, Average Loss  0.600978, Time  0.235836
2021-09-15 23:57:30.163170 : Epoch  3, Batch   1600, Loss  0.873003, Average Loss  0.869626, Time  0.265851
2021-09-15 23:57:30.254475 : Epoch  1, Batch    608, Loss  0.886277, Average Loss  0.900144, Time  0.240155
2021-09-15 23:57:30.294104 : Epoch  9, Batch    393, Loss  0.601904, Average Loss  0.600979, Time  0.237113
2021-09-15 23:57:31.857887 : Epoch  9, Batch    394, Loss  0.589394, Average Loss  0.600941, Time  0.236118
2021-09-15 23:57:32.892082 : Epoch  1, Batch    609, Loss  0.897897, Average Loss  0.900208, Time  0.240907
2021-09-15 23:57:33.180866 : Epoch  3, Batch   1601, Loss  0.844242, Average Loss  0.869477, Time  0.277285
2021-09-15 23:57:33.397031 : Epoch  9, Batch    395, Loss  0.602780, Average Loss  0.600914, Time  0.236264
2021-09-15 23:57:34.923442 : Epoch  9, Batch    396, Loss  0.598848, Average Loss  0.600909, Time  0.236029
2021-09-15 23:57:35.488461 : Epoch  1, Batch    610, Loss  0.890562, Average Loss  0.900092, Time  0.241017
2021-09-15 23:57:36.172883 : Epoch  3, Batch   1602, Loss  0.836515, Average Loss  0.869375, Time  0.265155
2021-09-15 23:57:36.453444 : Epoch  9, Batch    397, Loss  0.587959, Average Loss  0.600853, Time  0.236010
2021-09-15 23:57:37.977227 : Epoch  9, Batch    398, Loss  0.594670, Average Loss  0.600851, Time  0.236869
2021-09-15 23:57:38.090815 : Epoch  1, Batch    611, Loss  0.900847, Average Loss  0.899976, Time  0.240240
2021-09-15 23:57:39.147073 : Epoch  3, Batch   1603, Loss  0.869392, Average Loss  0.869491, Time  0.265530
2021-09-15 23:57:39.513209 : Epoch  9, Batch    399, Loss  0.590672, Average Loss  0.600853, Time  0.235735
2021-09-15 23:57:40.676069 : Epoch  1, Batch    612, Loss  0.882825, Average Loss  0.899820, Time  0.241220
2021-09-15 23:57:41.037843 : Epoch  9, Batch    400, Loss  0.596998, Average Loss  0.600871, Time  0.236218
2021-09-15 23:57:42.140046 : Epoch  3, Batch   1604, Loss  0.892607, Average Loss  0.869627, Time  0.266676
2021-09-15 23:57:42.565053 : Epoch  9, Batch    401, Loss  0.587686, Average Loss  0.600814, Time  0.236107
2021-09-15 23:57:43.274271 : Epoch  1, Batch    613, Loss  0.886975, Average Loss  0.899722, Time  0.240839
2021-09-15 23:57:44.089909 : Epoch  9, Batch    402, Loss  0.592116, Average Loss  0.600786, Time  0.235986
2021-09-15 23:57:45.155628 : Epoch  3, Batch   1605, Loss  0.869606, Average Loss  0.869589, Time  0.265626
2021-09-15 23:57:45.647241 : Epoch  9, Batch    403, Loss  0.595750, Average Loss  0.600687, Time  0.236098
2021-09-15 23:57:45.870822 : Epoch  1, Batch    614, Loss  0.891127, Average Loss  0.899593, Time  0.241403
2021-09-15 23:57:47.169088 : Epoch  9, Batch    404, Loss  0.602858, Average Loss  0.600693, Time  0.236730
2021-09-15 23:57:48.150009 : Epoch  3, Batch   1606, Loss  0.855262, Average Loss  0.869616, Time  0.265485
2021-09-15 23:57:48.451927 : Epoch  1, Batch    615, Loss  0.887139, Average Loss  0.899390, Time  0.241776
2021-09-15 23:57:51.045910 : Epoch  1, Batch    616, Loss  0.893209, Average Loss  0.899250, Time  0.240129
2021-09-15 23:57:51.157013 : Epoch  3, Batch   1607, Loss  0.874650, Average Loss  0.869706, Time  0.265464
2021-09-15 23:57:53.661311 : Epoch  1, Batch    617, Loss  0.899170, Average Loss  0.899177, Time  0.239908
2021-09-15 23:57:54.161696 : Epoch  3, Batch   1608, Loss  0.843160, Average Loss  0.869650, Time  0.265715
2021-09-15 23:57:56.256059 : Epoch  1, Batch    618, Loss  0.899299, Average Loss  0.899170, Time  0.240231
2021-09-15 23:57:57.194284 : Epoch  3, Batch   1609, Loss  0.868093, Average Loss  0.869650, Time  0.265986
2021-09-15 23:57:58.849892 : Epoch  1, Batch    619, Loss  0.900756, Average Loss  0.899156, Time  0.240148
2021-09-15 23:58:00.199745 : Epoch  3, Batch   1610, Loss  0.881236, Average Loss  0.869735, Time  0.266324
2021-09-15 23:58:01.465420 : Epoch  1, Batch    620, Loss  0.919294, Average Loss  0.899185, Time  0.239811
2021-09-15 23:58:03.195532 : Epoch  3, Batch   1611, Loss  0.878319, Average Loss  0.869684, Time  0.265393
2021-09-15 23:58:04.106423 : Epoch  1, Batch    621, Loss  0.897089, Average Loss  0.899160, Time  0.269492
2021-09-15 23:58:06.218489 : Epoch  3, Batch   1612, Loss  0.877746, Average Loss  0.869772, Time  0.266480
2021-09-15 23:58:06.691865 : Epoch  1, Batch    622, Loss  0.884879, Average Loss  0.899070, Time  0.240199
2021-09-15 23:58:09.261439 : Epoch  3, Batch   1613, Loss  0.860805, Average Loss  0.869604, Time  0.267453
2021-09-15 23:58:09.283804 : Epoch  1, Batch    623, Loss  0.931553, Average Loss  0.899220, Time  0.240759
2021-09-15 23:58:11.894420 : Epoch  1, Batch    624, Loss  0.909093, Average Loss  0.899300, Time  0.240056
2021-09-15 23:58:12.263007 : Epoch  3, Batch   1614, Loss  0.857725, Average Loss  0.869614, Time  0.266162
2021-09-15 23:58:14.492878 : Epoch  1, Batch    625, Loss  0.885229, Average Loss  0.899201, Time  0.240039
2021-09-15 23:58:15.300545 : Epoch  3, Batch   1615, Loss  0.862977, Average Loss  0.869500, Time  0.266715
2021-09-15 23:58:17.114438 : Epoch  1, Batch    626, Loss  0.893957, Average Loss  0.899189, Time  0.240417
2021-09-15 23:58:18.355266 : Epoch  3, Batch   1616, Loss  0.887033, Average Loss  0.869576, Time  0.277803
2021-09-15 23:58:19.715958 : Epoch  1, Batch    627, Loss  0.900397, Average Loss  0.899232, Time  0.243580
2021-09-15 23:58:21.373407 : Epoch  3, Batch   1617, Loss  0.869020, Average Loss  0.869585, Time  0.265707
2021-09-15 23:58:22.308435 : Epoch  1, Batch    628, Loss  0.889904, Average Loss  0.899057, Time  0.240023
2021-09-15 23:58:24.400456 : Epoch  3, Batch   1618, Loss  0.871453, Average Loss  0.869583, Time  0.266659
2021-09-15 23:58:24.896879 : Epoch  1, Batch    629, Loss  0.890380, Average Loss  0.898937, Time  0.240282
2021-09-15 23:58:27.411918 : Epoch  3, Batch   1619, Loss  0.877179, Average Loss  0.869638, Time  0.265796
2021-09-15 23:58:27.495931 : Epoch  1, Batch    630, Loss  0.873437, Average Loss  0.898744, Time  0.241727
2021-09-15 23:58:30.091236 : Epoch  1, Batch    631, Loss  0.891626, Average Loss  0.898593, Time  0.240020
2021-09-15 23:58:30.450347 : Epoch  3, Batch   1620, Loss  0.881612, Average Loss  0.869717, Time  0.266587
2021-09-15 23:58:32.683065 : Epoch  1, Batch    632, Loss  0.903793, Average Loss  0.898634, Time  0.240425
2021-09-15 23:58:33.481283 : Epoch  3, Batch   1621, Loss  0.879278, Average Loss  0.869610, Time  0.267579
2021-09-15 23:58:35.268873 : Epoch  1, Batch    633, Loss  0.891078, Average Loss  0.898543, Time  0.241001
2021-09-15 23:58:36.528541 : Epoch  3, Batch   1622, Loss  0.875677, Average Loss  0.869662, Time  0.267572
2021-09-15 23:58:37.881021 : Epoch  1, Batch    634, Loss  0.898298, Average Loss  0.898479, Time  0.242950
2021-09-15 23:58:39.525544 : Epoch  3, Batch   1623, Loss  0.850794, Average Loss  0.869543, Time  0.266312
2021-09-15 23:58:40.479855 : Epoch  1, Batch    635, Loss  0.902203, Average Loss  0.898417, Time  0.241439
2021-09-15 23:58:42.526967 : Epoch  3, Batch   1624, Loss  0.876978, Average Loss  0.869553, Time  0.265535
2021-09-15 23:58:43.076227 : Epoch  1, Batch    636, Loss  0.889155, Average Loss  0.898388, Time  0.240937
2021-09-15 23:58:44.510730 : CheckPoint: Validation Loss  0.00024820, Best Loss  0.00024058
2021-09-15 23:58:45.513962 : Epoch  3, Batch   1625, Loss  0.868759, Average Loss  0.869431, Time  0.265384
2021-09-15 23:58:45.673896 : Epoch  1, Batch    637, Loss  0.894636, Average Loss  0.898336, Time  0.241037
2021-09-15 23:58:46.060009 : Epoch  9, Batch    405, Loss  0.594524, Average Loss  0.600611, Time  0.237767
2021-09-15 23:58:47.588983 : Epoch  9, Batch    406, Loss  0.613019, Average Loss  0.600666, Time  0.236142
2021-09-15 23:58:48.257804 : Epoch  1, Batch    638, Loss  0.879114, Average Loss  0.898193, Time  0.240152
2021-09-15 23:58:48.500997 : Epoch  3, Batch   1626, Loss  0.851463, Average Loss  0.869391, Time  0.265428
2021-09-15 23:58:49.126988 : Epoch  9, Batch    407, Loss  0.607571, Average Loss  0.600701, Time  0.235873
2021-09-15 23:58:50.674387 : Epoch  9, Batch    408, Loss  0.603878, Average Loss  0.600730, Time  0.236052
2021-09-15 23:58:50.852960 : Epoch  1, Batch    639, Loss  0.886506, Average Loss  0.898119, Time  0.240320
2021-09-15 23:58:51.489103 : Epoch  3, Batch   1627, Loss  0.855290, Average Loss  0.869273, Time  0.266253
2021-09-15 23:58:52.215379 : Epoch  9, Batch    409, Loss  0.590541, Average Loss  0.600659, Time  0.235727
2021-09-15 23:58:53.440955 : Epoch  1, Batch    640, Loss  0.902126, Average Loss  0.898156, Time  0.241138
2021-09-15 23:58:53.742114 : Epoch  9, Batch    410, Loss  0.610002, Average Loss  0.600691, Time  0.236406
2021-09-15 23:58:54.491759 : Epoch  3, Batch   1628, Loss  0.851139, Average Loss  0.869182, Time  0.265946
2021-09-15 23:58:55.275330 : Epoch  9, Batch    411, Loss  0.596029, Average Loss  0.600677, Time  0.236068
2021-09-15 23:58:56.030636 : Epoch  1, Batch    641, Loss  0.876595, Average Loss  0.897968, Time  0.241457
2021-09-15 23:58:56.806072 : Epoch  9, Batch    412, Loss  0.596040, Average Loss  0.600726, Time  0.236170
2021-09-15 23:58:57.525578 : Epoch  3, Batch   1629, Loss  0.869213, Average Loss  0.869047, Time  0.264903
2021-09-15 23:58:58.344304 : Epoch  9, Batch    413, Loss  0.603230, Average Loss  0.600754, Time  0.236267
2021-09-15 23:58:58.627414 : Epoch  1, Batch    642, Loss  0.887648, Average Loss  0.897832, Time  0.242505
2021-09-15 23:58:59.881646 : Epoch  9, Batch    414, Loss  0.609067, Average Loss  0.600711, Time  0.235776
2021-09-15 23:59:00.511691 : Epoch  3, Batch   1630, Loss  0.866626, Average Loss  0.869062, Time  0.264925
2021-09-15 23:59:01.206016 : Epoch  1, Batch    643, Loss  0.901640, Average Loss  0.897789, Time  0.240228
2021-09-15 23:59:01.412878 : Epoch  9, Batch    415, Loss  0.607183, Average Loss  0.600732, Time  0.236466
2021-09-15 23:59:02.939401 : Epoch  9, Batch    416, Loss  0.593090, Average Loss  0.600714, Time  0.235908
2021-09-15 23:59:03.505072 : Epoch  3, Batch   1631, Loss  0.874068, Average Loss  0.869169, Time  0.276943
2021-09-15 23:59:03.793941 : Epoch  1, Batch    644, Loss  0.896219, Average Loss  0.897624, Time  0.241811
2021-09-15 23:59:04.469448 : Epoch  9, Batch    417, Loss  0.596651, Average Loss  0.600627, Time  0.236526
2021-09-15 23:59:06.007394 : Epoch  9, Batch    418, Loss  0.607321, Average Loss  0.600679, Time  0.236024
2021-09-15 23:59:06.375242 : Epoch  1, Batch    645, Loss  0.893823, Average Loss  0.897573, Time  0.240298
2021-09-15 23:59:06.499323 : Epoch  3, Batch   1632, Loss  0.868196, Average Loss  0.869237, Time  0.265384
2021-09-15 23:59:07.539980 : Epoch  9, Batch    419, Loss  0.600082, Average Loss  0.600664, Time  0.236455
2021-09-15 23:59:08.960510 : Epoch  1, Batch    646, Loss  0.887550, Average Loss  0.897536, Time  0.241544
2021-09-15 23:59:09.075403 : Epoch  9, Batch    420, Loss  0.602387, Average Loss  0.600740, Time  0.236258
2021-09-15 23:59:09.507065 : Epoch  3, Batch   1633, Loss  0.875439, Average Loss  0.869220, Time  0.265318
2021-09-15 23:59:10.601176 : Epoch  9, Batch    421, Loss  0.607912, Average Loss  0.600751, Time  0.236072
2021-09-15 23:59:11.542970 : Epoch  1, Batch    647, Loss  0.892369, Average Loss  0.897447, Time  0.241318
2021-09-15 23:59:12.154295 : Epoch  9, Batch    422, Loss  0.609143, Average Loss  0.600759, Time  0.237382
2021-09-15 23:59:12.491057 : Epoch  3, Batch   1634, Loss  0.902284, Average Loss  0.869431, Time  0.265790
2021-09-15 23:59:13.688430 : Epoch  9, Batch    423, Loss  0.597577, Average Loss  0.600744, Time  0.236161
2021-09-15 23:59:14.133406 : Epoch  1, Batch    648, Loss  0.903038, Average Loss  0.897434, Time  0.240627
2021-09-15 23:59:15.223380 : Epoch  9, Batch    424, Loss  0.592100, Average Loss  0.600676, Time  0.235897
2021-09-15 23:59:15.472345 : Epoch  3, Batch   1635, Loss  0.880532, Average Loss  0.869426, Time  0.266359
2021-09-15 23:59:16.721163 : Epoch  1, Batch    649, Loss  0.872042, Average Loss  0.897263, Time  0.241367
2021-09-15 23:59:16.764893 : Epoch  9, Batch    425, Loss  0.597516, Average Loss  0.600639, Time  0.238406
2021-09-15 23:59:18.295045 : Epoch  9, Batch    426, Loss  0.599181, Average Loss  0.600578, Time  0.237077
2021-09-15 23:59:18.474495 : Epoch  3, Batch   1636, Loss  0.857960, Average Loss  0.869411, Time  0.266212
2021-09-15 23:59:19.318705 : Epoch  1, Batch    650, Loss  0.897886, Average Loss  0.897090, Time  0.240527
2021-09-15 23:59:19.828875 : Epoch  9, Batch    427, Loss  0.605631, Average Loss  0.600615, Time  0.235818
2021-09-15 23:59:21.356431 : Epoch  9, Batch    428, Loss  0.610340, Average Loss  0.600698, Time  0.236071
2021-09-15 23:59:21.485578 : Epoch  3, Batch   1637, Loss  0.880315, Average Loss  0.869448, Time  0.265888
2021-09-15 23:59:21.898251 : Epoch  1, Batch    651, Loss  0.874410, Average Loss  0.896942, Time  0.240664
2021-09-15 23:59:22.891427 : Epoch  9, Batch    429, Loss  0.601130, Average Loss  0.600707, Time  0.237102
2021-09-15 23:59:24.424447 : Epoch  9, Batch    430, Loss  0.592281, Average Loss  0.600672, Time  0.236016
2021-09-15 23:59:24.482396 : Epoch  3, Batch   1638, Loss  0.876509, Average Loss  0.869427, Time  0.265242
2021-09-15 23:59:24.499790 : Epoch  1, Batch    652, Loss  0.909114, Average Loss  0.896947, Time  0.243489
2021-09-15 23:59:25.965860 : Epoch  9, Batch    431, Loss  0.603629, Average Loss  0.600685, Time  0.236335
2021-09-15 23:59:27.101966 : Epoch  1, Batch    653, Loss  0.892702, Average Loss  0.896852, Time  0.242652
2021-09-15 23:59:27.482050 : Epoch  3, Batch   1639, Loss  0.867444, Average Loss  0.869415, Time  0.265813
2021-09-15 23:59:27.498128 : Epoch  9, Batch    432, Loss  0.593083, Average Loss  0.600673, Time  0.237744
2021-09-15 23:59:29.043471 : Epoch  9, Batch    433, Loss  0.608566, Average Loss  0.600733, Time  0.236149
2021-09-15 23:59:29.693383 : Epoch  1, Batch    654, Loss  0.894228, Average Loss  0.896778, Time  0.241321
2021-09-15 23:59:30.499022 : Epoch  3, Batch   1640, Loss  0.888085, Average Loss  0.869520, Time  0.266473
2021-09-15 23:59:30.565581 : Epoch  9, Batch    434, Loss  0.606753, Average Loss  0.600726, Time  0.235951
2021-09-15 23:59:32.094064 : Epoch  9, Batch    435, Loss  0.595753, Average Loss  0.600734, Time  0.236040
2021-09-15 23:59:32.279863 : Epoch  1, Batch    655, Loss  0.912389, Average Loss  0.896860, Time  0.240737
2021-09-15 23:59:33.564207 : Epoch  3, Batch   1641, Loss  0.863420, Average Loss  0.869586, Time  0.267587
2021-09-15 23:59:33.635705 : Epoch  9, Batch    436, Loss  0.590830, Average Loss  0.600708, Time  0.236321
2021-09-15 23:59:34.873978 : Epoch  1, Batch    656, Loss  0.911007, Average Loss  0.896857, Time  0.241242
2021-09-15 23:59:35.171679 : Epoch  9, Batch    437, Loss  0.596081, Average Loss  0.600653, Time  0.237677
2021-09-15 23:59:36.597237 : Epoch  3, Batch   1642, Loss  0.887329, Average Loss  0.869779, Time  0.267182
2021-09-15 23:59:36.695121 : Epoch  9, Batch    438, Loss  0.606723, Average Loss  0.600670, Time  0.238338
2021-09-15 23:59:37.478135 : Epoch  1, Batch    657, Loss  0.897572, Average Loss  0.896870, Time  0.240192
2021-09-15 23:59:38.218422 : Epoch  9, Batch    439, Loss  0.614291, Average Loss  0.600704, Time  0.236819
2021-09-15 23:59:39.637176 : Epoch  3, Batch   1643, Loss  0.871997, Average Loss  0.869691, Time  0.266071
2021-09-15 23:59:39.754146 : Epoch  9, Batch    440, Loss  0.604785, Average Loss  0.600733, Time  0.236667
2021-09-15 23:59:40.078600 : Epoch  1, Batch    658, Loss  0.916763, Average Loss  0.896939, Time  0.241343
2021-09-15 23:59:41.278424 : Epoch  9, Batch    441, Loss  0.596138, Average Loss  0.600708, Time  0.235798
2021-09-15 23:59:42.636042 : Epoch  3, Batch   1644, Loss  0.878755, Average Loss  0.869835, Time  0.266137
2021-09-15 23:59:42.661905 : Epoch  1, Batch    659, Loss  0.910931, Average Loss  0.896971, Time  0.241154
2021-09-15 23:59:42.817264 : Epoch  9, Batch    442, Loss  0.602611, Average Loss  0.600755, Time  0.236338
2021-09-15 23:59:44.343656 : Epoch  9, Batch    443, Loss  0.592357, Average Loss  0.600778, Time  0.236054
2021-09-15 23:59:45.275159 : Epoch  1, Batch    660, Loss  0.913211, Average Loss  0.897012, Time  0.240279
2021-09-15 23:59:45.637072 : Epoch  3, Batch   1645, Loss  0.852256, Average Loss  0.869604, Time  0.265444
2021-09-15 23:59:45.874869 : Epoch  9, Batch    444, Loss  0.602402, Average Loss  0.600774, Time  0.236414
2021-09-15 23:59:47.398633 : Epoch  9, Batch    445, Loss  0.599550, Average Loss  0.600798, Time  0.236087
2021-09-15 23:59:47.861553 : Epoch  1, Batch    661, Loss  0.878633, Average Loss  0.896893, Time  0.240697
2021-09-15 23:59:48.635477 : Epoch  3, Batch   1646, Loss  0.869695, Average Loss  0.869650, Time  0.276853
2021-09-15 23:59:48.929933 : Epoch  9, Batch    446, Loss  0.598872, Average Loss  0.600773, Time  0.236282
2021-09-15 23:59:50.464910 : Epoch  9, Batch    447, Loss  0.591990, Average Loss  0.600716, Time  0.237043
2021-09-15 23:59:50.499898 : Epoch  1, Batch    662, Loss  0.888481, Average Loss  0.896815, Time  0.241065
2021-09-15 23:59:51.669004 : Epoch  3, Batch   1647, Loss  0.871601, Average Loss  0.869653, Time  0.265733
2021-09-15 23:59:51.998438 : Epoch  9, Batch    448, Loss  0.604348, Average Loss  0.600755, Time  0.235804
2021-09-15 23:59:53.108678 : Epoch  1, Batch    663, Loss  0.880485, Average Loss  0.896776, Time  0.240350
2021-09-15 23:59:53.523676 : Epoch  9, Batch    449, Loss  0.598530, Average Loss  0.600736, Time  0.235764
2021-09-15 23:59:54.668801 : Epoch  3, Batch   1648, Loss  0.855045, Average Loss  0.869649, Time  0.265645
2021-09-15 23:59:55.051541 : Epoch  9, Batch    450, Loss  0.605192, Average Loss  0.600757, Time  0.238866
2021-09-15 23:59:55.701128 : Epoch  1, Batch    664, Loss  0.896654, Average Loss  0.896601, Time  0.240337
2021-09-15 23:59:56.575274 : Epoch  9, Batch    451, Loss  0.597313, Average Loss  0.600727, Time  0.236717
2021-09-15 23:59:57.673768 : Epoch  3, Batch   1649, Loss  0.856741, Average Loss  0.869611, Time  0.265155
2021-09-15 23:59:58.108267 : Epoch  9, Batch    452, Loss  0.586351, Average Loss  0.600696, Time  0.237062
2021-09-15 23:59:58.289968 : Epoch  1, Batch    665, Loss  0.863340, Average Loss  0.896413, Time  0.240739
2021-09-15 23:59:59.634482 : Epoch  9, Batch    453, Loss  0.595112, Average Loss  0.600695, Time  0.237055
2021-09-16 00:00:00.700592 : Epoch  3, Batch   1650, Loss  0.893539, Average Loss  0.869737, Time  0.265551
2021-09-16 00:00:00.877559 : Epoch  1, Batch    666, Loss  0.896273, Average Loss  0.896519, Time  0.240438
2021-09-16 00:00:01.169511 : Epoch  9, Batch    454, Loss  0.595656, Average Loss  0.600649, Time  0.237127
2021-09-16 00:00:02.702936 : Epoch  9, Batch    455, Loss  0.592583, Average Loss  0.600590, Time  0.236971
2021-09-16 00:00:03.464235 : Epoch  1, Batch    667, Loss  0.886897, Average Loss  0.896353, Time  0.240890
2021-09-16 00:00:03.708060 : Epoch  3, Batch   1651, Loss  0.866988, Average Loss  0.869780, Time  0.265277
2021-09-16 00:00:04.239409 : Epoch  9, Batch    456, Loss  0.598012, Average Loss  0.600533, Time  0.236060
2021-09-16 00:00:05.769160 : Epoch  9, Batch    457, Loss  0.605217, Average Loss  0.600607, Time  0.236092
2021-09-16 00:00:06.052495 : Epoch  1, Batch    668, Loss  0.883460, Average Loss  0.896281, Time  0.240517
2021-09-16 00:00:06.706244 : Epoch  3, Batch   1652, Loss  0.877958, Average Loss  0.869797, Time  0.266309
2021-09-16 00:00:07.306450 : Epoch  9, Batch    458, Loss  0.602025, Average Loss  0.600646, Time  0.237340
2021-09-16 00:00:08.630317 : Epoch  1, Batch    669, Loss  0.880066, Average Loss  0.896121, Time  0.240858
2021-09-16 00:00:08.846980 : Epoch  9, Batch    459, Loss  0.595727, Average Loss  0.600592, Time  0.236266
2021-09-16 00:00:09.741414 : Epoch  3, Batch   1653, Loss  0.851898, Average Loss  0.869686, Time  0.265825
2021-09-16 00:00:10.409396 : Epoch  9, Batch    460, Loss  0.593340, Average Loss  0.600528, Time  0.236612
2021-09-16 00:00:11.220236 : Epoch  1, Batch    670, Loss  0.890416, Average Loss  0.896084, Time  0.240304
2021-09-16 00:00:11.958857 : Epoch  9, Batch    461, Loss  0.594055, Average Loss  0.600499, Time  0.236638
2021-09-16 00:00:12.753045 : Epoch  3, Batch   1654, Loss  0.879763, Average Loss  0.869742, Time  0.264837
2021-09-16 00:00:13.501280 : Epoch  9, Batch    462, Loss  0.601773, Average Loss  0.600525, Time  0.236089
2021-09-16 00:00:13.815683 : Epoch  1, Batch    671, Loss  0.888299, Average Loss  0.895994, Time  0.240107
2021-09-16 00:00:15.029144 : Epoch  9, Batch    463, Loss  0.605807, Average Loss  0.600571, Time  0.236230
2021-09-16 00:00:15.746640 : Epoch  3, Batch   1655, Loss  0.882194, Average Loss  0.869962, Time  0.265167
2021-09-16 00:00:16.395998 : Epoch  1, Batch    672, Loss  0.886121, Average Loss  0.895742, Time  0.239971
2021-09-16 00:00:16.557678 : Epoch  9, Batch    464, Loss  0.602410, Average Loss  0.600578, Time  0.237373
2021-09-16 00:00:18.086384 : Epoch  9, Batch    465, Loss  0.598400, Average Loss  0.600557, Time  0.236660
2021-09-16 00:00:18.745503 : Epoch  3, Batch   1656, Loss  0.873450, Average Loss  0.869959, Time  0.265208
2021-09-16 00:00:18.979329 : Epoch  1, Batch    673, Loss  0.900533, Average Loss  0.895773, Time  0.240020
2021-09-16 00:00:19.609431 : Epoch  9, Batch    466, Loss  0.599469, Average Loss  0.600569, Time  0.236098
2021-09-16 00:00:21.154876 : Epoch  9, Batch    467, Loss  0.590282, Average Loss  0.600512, Time  0.238177
2021-09-16 00:00:21.560941 : Epoch  1, Batch    674, Loss  0.901883, Average Loss  0.895736, Time  0.240078
2021-09-16 00:00:21.745222 : Epoch  3, Batch   1657, Loss  0.889998, Average Loss  0.870009, Time  0.265434
2021-09-16 00:00:22.680783 : Epoch  9, Batch    468, Loss  0.600043, Average Loss  0.600509, Time  0.236056
2021-09-16 00:00:24.131081 : Epoch  1, Batch    675, Loss  0.892224, Average Loss  0.895602, Time  0.240732
2021-09-16 00:00:24.216366 : Epoch  9, Batch    469, Loss  0.588464, Average Loss  0.600467, Time  0.237027
2021-09-16 00:00:24.711754 : Epoch  3, Batch   1658, Loss  0.868792, Average Loss  0.869913, Time  0.265792
2021-09-16 00:00:25.740130 : Epoch  9, Batch    470, Loss  0.619052, Average Loss  0.600552, Time  0.236230
2021-09-16 00:00:26.714358 : Epoch  1, Batch    676, Loss  0.883338, Average Loss  0.895529, Time  0.245725
2021-09-16 00:00:27.270394 : Epoch  9, Batch    471, Loss  0.600286, Average Loss  0.600542, Time  0.236699
2021-09-16 00:00:27.700705 : Epoch  3, Batch   1659, Loss  0.846616, Average Loss  0.869801, Time  0.265725
2021-09-16 00:00:28.831647 : Epoch  9, Batch    472, Loss  0.606981, Average Loss  0.600505, Time  0.236245
2021-09-16 00:00:29.299948 : Epoch  1, Batch    677, Loss  0.886995, Average Loss  0.895389, Time  0.240119
2021-09-16 00:00:30.367450 : Epoch  9, Batch    473, Loss  0.607373, Average Loss  0.600529, Time  0.235799
2021-09-16 00:00:30.680742 : Epoch  3, Batch   1660, Loss  0.860375, Average Loss  0.869794, Time  0.266167
2021-09-16 00:00:31.873454 : Epoch  1, Batch    678, Loss  0.909260, Average Loss  0.895470, Time  0.239930
2021-09-16 00:00:31.904716 : Epoch  9, Batch    474, Loss  0.592750, Average Loss  0.600473, Time  0.236097
2021-09-16 00:00:33.702053 : Epoch  3, Batch   1661, Loss  0.900495, Average Loss  0.870002, Time  0.280671
2021-09-16 00:00:34.447595 : Epoch  1, Batch    679, Loss  0.901221, Average Loss  0.895504, Time  0.240260
2021-09-16 00:00:35.836709 : Epoch  9, Batch    475, Loss  0.608527, Average Loss  0.600691, Time  0.267149
2021-09-16 00:00:36.709206 : Epoch  3, Batch   1662, Loss  0.889718, Average Loss  0.870152, Time  0.267142
2021-09-16 00:00:37.030640 : Epoch  1, Batch    680, Loss  0.871429, Average Loss  0.895443, Time  0.241611
2021-09-16 00:00:37.370865 : Epoch  9, Batch    476, Loss  0.596971, Average Loss  0.600611, Time  0.238566
2021-09-16 00:00:38.891541 : Epoch  9, Batch    477, Loss  0.610574, Average Loss  0.600638, Time  0.236013
2021-09-16 00:00:39.610743 : Epoch  1, Batch    681, Loss  0.883932, Average Loss  0.895522, Time  0.240362
2021-09-16 00:00:39.730143 : Epoch  3, Batch   1663, Loss  0.859539, Average Loss  0.870144, Time  0.266430
2021-09-16 00:00:40.425441 : Epoch  9, Batch    478, Loss  0.603626, Average Loss  0.600731, Time  0.235943
2021-09-16 00:00:41.965424 : Epoch  9, Batch    479, Loss  0.608009, Average Loss  0.600740, Time  0.237657
2021-09-16 00:00:42.248319 : Epoch  1, Batch    682, Loss  0.927242, Average Loss  0.895606, Time  0.250135
2021-09-16 00:00:42.730367 : Epoch  3, Batch   1664, Loss  0.878960, Average Loss  0.870158, Time  0.265260
2021-09-16 00:00:43.490084 : Epoch  9, Batch    480, Loss  0.601701, Average Loss  0.600705, Time  0.236199
2021-09-16 00:00:44.822251 : Epoch  1, Batch    683, Loss  0.888869, Average Loss  0.895524, Time  0.240312
2021-09-16 00:00:45.011536 : Epoch  9, Batch    481, Loss  0.602003, Average Loss  0.600631, Time  0.239578
2021-09-16 00:00:45.710779 : Epoch  3, Batch   1665, Loss  0.872292, Average Loss  0.870197, Time  0.266947
2021-09-16 00:00:46.535349 : Epoch  9, Batch    482, Loss  0.606700, Average Loss  0.600666, Time  0.236119
2021-09-16 00:00:47.409209 : Epoch  1, Batch    684, Loss  0.901671, Average Loss  0.895511, Time  0.241751
2021-09-16 00:00:48.073102 : Epoch  9, Batch    483, Loss  0.607431, Average Loss  0.600708, Time  0.235950
2021-09-16 00:00:48.716371 : Epoch  3, Batch   1666, Loss  0.873109, Average Loss  0.870172, Time  0.265193
2021-09-16 00:00:49.611812 : Epoch  9, Batch    484, Loss  0.610658, Average Loss  0.600753, Time  0.237842
2021-09-16 00:00:50.001250 : Epoch  1, Batch    685, Loss  0.908954, Average Loss  0.895567, Time  0.241183
2021-09-16 00:00:51.156150 : Epoch  9, Batch    485, Loss  0.602405, Average Loss  0.600707, Time  0.235931
2021-09-16 00:00:51.736261 : Epoch  3, Batch   1667, Loss  0.852459, Average Loss  0.870121, Time  0.265167
2021-09-16 00:00:52.577950 : Epoch  1, Batch    686, Loss  0.885661, Average Loss  0.895557, Time  0.240531
2021-09-16 00:00:52.693833 : Epoch  9, Batch    486, Loss  0.602258, Average Loss  0.600710, Time  0.236907
2021-09-16 00:00:54.218234 : Epoch  9, Batch    487, Loss  0.588533, Average Loss  0.600634, Time  0.236588
2021-09-16 00:00:54.760333 : Epoch  3, Batch   1668, Loss  0.858401, Average Loss  0.869992, Time  0.265388
2021-09-16 00:00:55.174071 : Epoch  1, Batch    687, Loss  0.878601, Average Loss  0.895445, Time  0.240478
2021-09-16 00:00:55.744004 : Epoch  9, Batch    488, Loss  0.603258, Average Loss  0.600686, Time  0.236154
2021-09-16 00:00:57.271612 : Epoch  9, Batch    489, Loss  0.607555, Average Loss  0.600745, Time  0.235903
2021-09-16 00:00:57.751972 : Epoch  3, Batch   1669, Loss  0.896089, Average Loss  0.870007, Time  0.265663
2021-09-16 00:00:57.764432 : Epoch  1, Batch    688, Loss  0.903591, Average Loss  0.895490, Time  0.240048
2021-09-16 00:00:58.802622 : Epoch  9, Batch    490, Loss  0.604892, Average Loss  0.600757, Time  0.236396
2021-09-16 00:01:00.333766 : Epoch  9, Batch    491, Loss  0.586477, Average Loss  0.600685, Time  0.236351
2021-09-16 00:01:00.374232 : Epoch  1, Batch    689, Loss  0.911476, Average Loss  0.895563, Time  0.241327
2021-09-16 00:01:00.745212 : Epoch  3, Batch   1670, Loss  0.871997, Average Loss  0.870120, Time  0.265182
2021-09-16 00:01:01.866092 : Epoch  9, Batch    492, Loss  0.598226, Average Loss  0.600650, Time  0.236486
2021-09-16 00:01:02.953395 : Epoch  1, Batch    690, Loss  0.887946, Average Loss  0.895468, Time  0.241718
2021-09-16 00:01:03.398582 : Epoch  9, Batch    493, Loss  0.597277, Average Loss  0.600579, Time  0.235984
2021-09-16 00:01:03.763559 : Epoch  3, Batch   1671, Loss  0.850013, Average Loss  0.869934, Time  0.265670
2021-09-16 00:01:04.900692 : Epoch  9, Batch    494, Loss  0.614156, Average Loss  0.600649, Time  0.236328
2021-09-16 00:01:05.541087 : Epoch  1, Batch    691, Loss  0.896307, Average Loss  0.895391, Time  0.240198
2021-09-16 00:01:06.423450 : Epoch  9, Batch    495, Loss  0.604363, Average Loss  0.600703, Time  0.236085
2021-09-16 00:01:06.733427 : Epoch  3, Batch   1672, Loss  0.885184, Average Loss  0.869997, Time  0.264706
2021-09-16 00:01:07.961692 : Epoch  9, Batch    496, Loss  0.582456, Average Loss  0.600549, Time  0.236181
2021-09-16 00:01:08.123833 : Epoch  1, Batch    692, Loss  0.874539, Average Loss  0.895330, Time  0.240242
2021-09-16 00:01:09.492435 : Epoch  9, Batch    497, Loss  0.597662, Average Loss  0.600541, Time  0.236258
2021-09-16 00:01:09.726464 : Epoch  3, Batch   1673, Loss  0.868864, Average Loss  0.870018, Time  0.264465
2021-09-16 00:01:10.698819 : Epoch  1, Batch    693, Loss  0.901865, Average Loss  0.895357, Time  0.240263
2021-09-16 00:01:11.024550 : Epoch  9, Batch    498, Loss  0.598528, Average Loss  0.600552, Time  0.236202
2021-09-16 00:01:12.542612 : Epoch  9, Batch    499, Loss  0.594005, Average Loss  0.600498, Time  0.236884
2021-09-16 00:01:12.695904 : Epoch  3, Batch   1674, Loss  0.887425, Average Loss  0.870188, Time  0.265576
2021-09-16 00:01:13.285422 : Epoch  1, Batch    694, Loss  0.866559, Average Loss  0.894994, Time  0.240261
2021-09-16 00:01:14.072410 : Epoch  9, Batch    500, Loss  0.598897, Average Loss  0.600519, Time  0.235954
2021-09-16 00:01:15.597925 : Epoch  9, Batch    501, Loss  0.597079, Average Loss  0.600446, Time  0.236341
2021-09-16 00:01:15.691646 : Epoch  3, Batch   1675, Loss  0.885348, Average Loss  0.870326, Time  0.265154
2021-09-16 00:01:15.881961 : Epoch  1, Batch    695, Loss  0.880750, Average Loss  0.894999, Time  0.240031
2021-09-16 00:01:17.133357 : Epoch  9, Batch    502, Loss  0.597525, Average Loss  0.600421, Time  0.237350
2021-09-16 00:01:18.466037 : Epoch  1, Batch    696, Loss  0.893391, Average Loss  0.895032, Time  0.240431
2021-09-16 00:01:18.667423 : Epoch  9, Batch    503, Loss  0.612569, Average Loss  0.600501, Time  0.241800
2021-09-16 00:01:18.725218 : Epoch  3, Batch   1676, Loss  0.858074, Average Loss  0.870286, Time  0.275619
2021-09-16 00:01:20.189618 : Epoch  9, Batch    504, Loss  0.589549, Average Loss  0.600472, Time  0.239339
2021-09-16 00:01:21.048882 : Epoch  1, Batch    697, Loss  0.925699, Average Loss  0.895255, Time  0.240710
2021-09-16 00:01:21.730601 : Epoch  3, Batch   1677, Loss  0.861585, Average Loss  0.870377, Time  0.264975
2021-09-16 00:01:23.649441 : Epoch  1, Batch    698, Loss  0.907406, Average Loss  0.895315, Time  0.240205
2021-09-16 00:01:24.741845 : Epoch  3, Batch   1678, Loss  0.886756, Average Loss  0.870567, Time  0.263977
2021-09-16 00:01:26.254846 : Epoch  1, Batch    699, Loss  0.902000, Average Loss  0.895376, Time  0.240217
2021-09-16 00:01:27.782380 : Epoch  3, Batch   1679, Loss  0.891118, Average Loss  0.870642, Time  0.267263
2021-09-16 00:01:28.848803 : Epoch  1, Batch    700, Loss  0.900643, Average Loss  0.895297, Time  0.240252
2021-09-16 00:01:30.802973 : Epoch  3, Batch   1680, Loss  0.867160, Average Loss  0.870634, Time  0.266436
2021-09-16 00:01:33.797223 : Epoch  3, Batch   1681, Loss  0.870145, Average Loss  0.870634, Time  0.266211
2021-09-16 00:01:36.787953 : Epoch  3, Batch   1682, Loss  0.898201, Average Loss  0.870836, Time  0.266287
2021-09-16 00:01:39.822303 : Epoch  3, Batch   1683, Loss  0.885389, Average Loss  0.870926, Time  0.266269
2021-09-16 00:01:42.818247 : Epoch  3, Batch   1684, Loss  0.865329, Average Loss  0.871011, Time  0.265286
2021-09-16 00:01:45.814187 : Epoch  3, Batch   1685, Loss  0.890505, Average Loss  0.871121, Time  0.267580
2021-09-16 00:01:48.841615 : Epoch  3, Batch   1686, Loss  0.885921, Average Loss  0.871178, Time  0.266806
2021-09-16 00:01:51.853122 : Epoch  3, Batch   1687, Loss  0.869188, Average Loss  0.871079, Time  0.265460
2021-09-16 00:01:54.876593 : Epoch  3, Batch   1688, Loss  0.878155, Average Loss  0.871167, Time  0.265594
2021-09-16 00:02:17.520755 : CheckPoint: Validation Loss  0.00025397, Best Loss  0.00024058
2021-09-16 00:02:19.073061 : Epoch  9, Batch    505, Loss  0.595678, Average Loss  0.600409, Time  0.236412
2021-09-16 00:02:20.611338 : Epoch  9, Batch    506, Loss  0.606813, Average Loss  0.600438, Time  0.236430
2021-09-16 00:02:22.150886 : Epoch  9, Batch    507, Loss  0.604811, Average Loss  0.600465, Time  0.237668
2021-09-16 00:02:23.684420 : Epoch  9, Batch    508, Loss  0.599853, Average Loss  0.600454, Time  0.236008
2021-09-16 00:02:25.230388 : Epoch  9, Batch    509, Loss  0.604609, Average Loss  0.600489, Time  0.238168
2021-09-16 00:02:26.775841 : Epoch  9, Batch    510, Loss  0.597842, Average Loss  0.600504, Time  0.237412
2021-09-16 00:02:28.337406 : Epoch  9, Batch    511, Loss  0.600983, Average Loss  0.600464, Time  0.248760
2021-09-16 00:02:29.881436 : Epoch  9, Batch    512, Loss  0.604761, Average Loss  0.600490, Time  0.236339
2021-09-16 00:02:31.418413 : Epoch  9, Batch    513, Loss  0.597843, Average Loss  0.600427, Time  0.235936
2021-09-16 00:02:32.959352 : Epoch  9, Batch    514, Loss  0.609862, Average Loss  0.600548, Time  0.236531
2021-09-16 00:02:34.500422 : Epoch  9, Batch    515, Loss  0.606034, Average Loss  0.600644, Time  0.236594
2021-09-16 00:02:36.034588 : Epoch  9, Batch    516, Loss  0.606113, Average Loss  0.600701, Time  0.236398
2021-09-16 00:02:37.578212 : Epoch  9, Batch    517, Loss  0.596557, Average Loss  0.600622, Time  0.236516
2021-09-16 00:02:39.113878 : Epoch  9, Batch    518, Loss  0.593702, Average Loss  0.600563, Time  0.236272
2021-09-16 00:02:40.645372 : Epoch  9, Batch    519, Loss  0.601495, Average Loss  0.600551, Time  0.236009
2021-09-16 00:02:42.202270 : Epoch  9, Batch    520, Loss  0.631168, Average Loss  0.600725, Time  0.240362
2021-09-16 00:02:43.735870 : Epoch  9, Batch    521, Loss  0.602003, Average Loss  0.600668, Time  0.236346
2021-09-16 00:02:45.267407 : Epoch  9, Batch    522, Loss  0.598660, Average Loss  0.600653, Time  0.236845
2021-09-16 00:02:46.801597 : Epoch  9, Batch    523, Loss  0.598542, Average Loss  0.600667, Time  0.236224
2021-09-16 00:02:48.337404 : Epoch  9, Batch    524, Loss  0.602550, Average Loss  0.600687, Time  0.235964
2021-09-16 00:02:49.871907 : Epoch  9, Batch    525, Loss  0.609026, Average Loss  0.600695, Time  0.236098
2021-09-16 00:02:51.402849 : Epoch  9, Batch    526, Loss  0.597434, Average Loss  0.600687, Time  0.236740
2021-09-16 00:02:52.930279 : Epoch  9, Batch    527, Loss  0.616884, Average Loss  0.600744, Time  0.236591
2021-09-16 00:02:54.466424 : Epoch  9, Batch    528, Loss  0.604064, Average Loss  0.600734, Time  0.243859
2021-09-16 00:02:56.003989 : Epoch  9, Batch    529, Loss  0.599553, Average Loss  0.600706, Time  0.235994
2021-09-16 00:02:57.528180 : Epoch  9, Batch    530, Loss  0.594900, Average Loss  0.600647, Time  0.236362
2021-09-16 00:02:59.068153 : Epoch  9, Batch    531, Loss  0.587766, Average Loss  0.600573, Time  0.236175
2021-09-16 00:03:00.601371 : Epoch  9, Batch    532, Loss  0.614436, Average Loss  0.600577, Time  0.238352
2021-09-16 00:03:02.135417 : Epoch  9, Batch    533, Loss  0.589897, Average Loss  0.600515, Time  0.236115
2021-09-16 00:03:03.671793 : Epoch  9, Batch    534, Loss  0.594107, Average Loss  0.600437, Time  0.237187
2021-09-16 00:03:05.199446 : Epoch  9, Batch    535, Loss  0.607674, Average Loss  0.600484, Time  0.236598
2021-09-16 00:03:06.745054 : Epoch  9, Batch    536, Loss  0.599305, Average Loss  0.600481, Time  0.239034
2021-09-16 00:03:08.278037 : Epoch  9, Batch    537, Loss  0.594655, Average Loss  0.600429, Time  0.236403
2021-09-16 00:03:09.826975 : Epoch  9, Batch    538, Loss  0.593386, Average Loss  0.600402, Time  0.237625
2021-09-16 00:03:11.377614 : Epoch  9, Batch    539, Loss  0.602236, Average Loss  0.600410, Time  0.237440
2021-09-16 00:03:12.911464 : Epoch  9, Batch    540, Loss  0.604174, Average Loss  0.600389, Time  0.235944
2021-09-16 00:03:14.445860 : Epoch  9, Batch    541, Loss  0.589565, Average Loss  0.600295, Time  0.236181
2021-09-16 00:03:15.978129 : Epoch  9, Batch    542, Loss  0.594527, Average Loss  0.600290, Time  0.236710
2021-09-16 00:03:17.504456 : Epoch  9, Batch    543, Loss  0.600237, Average Loss  0.600263, Time  0.236035
2021-09-16 00:03:19.042572 : Epoch  9, Batch    544, Loss  0.612513, Average Loss  0.600365, Time  0.236410
2021-09-16 00:03:20.573688 : Epoch  9, Batch    545, Loss  0.611624, Average Loss  0.600427, Time  0.236205
2021-09-16 00:03:22.097900 : Epoch  9, Batch    546, Loss  0.594319, Average Loss  0.600378, Time  0.236164
2021-09-16 00:03:23.627913 : Epoch  9, Batch    547, Loss  0.594245, Average Loss  0.600436, Time  0.237240
2021-09-16 00:03:25.166443 : Epoch  9, Batch    548, Loss  0.601436, Average Loss  0.600506, Time  0.236063
2021-09-16 00:03:26.706026 : Epoch  9, Batch    549, Loss  0.603861, Average Loss  0.600496, Time  0.236228
2021-09-16 00:03:28.265884 : Epoch  9, Batch    550, Loss  0.607157, Average Loss  0.600542, Time  0.237306
2021-09-16 00:03:29.805631 : Epoch  9, Batch    551, Loss  0.602908, Average Loss  0.600578, Time  0.235853
2021-09-16 00:03:31.337403 : Epoch  9, Batch    552, Loss  0.596963, Average Loss  0.600595, Time  0.235827
2021-09-16 00:03:32.880416 : Epoch  9, Batch    553, Loss  0.602551, Average Loss  0.600578, Time  0.235960
2021-09-16 00:03:34.411721 : Epoch  9, Batch    554, Loss  0.590433, Average Loss  0.600517, Time  0.236470
2021-09-16 00:03:35.943204 : Epoch  9, Batch    555, Loss  0.592508, Average Loss  0.600487, Time  0.237267
2021-09-16 00:03:37.476461 : Epoch  9, Batch    556, Loss  0.595853, Average Loss  0.600469, Time  0.236539
2021-09-16 00:03:39.028020 : Epoch  9, Batch    557, Loss  0.593763, Average Loss  0.600374, Time  0.236235
2021-09-16 00:03:40.563453 : Epoch  9, Batch    558, Loss  0.598782, Average Loss  0.600363, Time  0.236355
2021-09-16 00:03:42.094979 : Epoch  9, Batch    559, Loss  0.602551, Average Loss  0.600348, Time  0.237073
2021-09-16 00:03:43.630399 : Epoch  9, Batch    560, Loss  0.604876, Average Loss  0.600411, Time  0.235758
2021-09-16 00:03:45.185262 : Epoch  9, Batch    561, Loss  0.592237, Average Loss  0.600450, Time  0.236005
2021-09-16 00:03:46.709408 : Epoch  9, Batch    562, Loss  0.611213, Average Loss  0.600509, Time  0.235607
2021-09-16 00:03:48.242064 : Epoch  9, Batch    563, Loss  0.603338, Average Loss  0.600519, Time  0.236930
2021-09-16 00:03:49.771616 : Epoch  9, Batch    564, Loss  0.600779, Average Loss  0.600543, Time  0.236117
2021-09-16 00:03:51.300596 : Epoch  9, Batch    565, Loss  0.598037, Average Loss  0.600589, Time  0.235923
2021-09-16 00:03:52.826976 : Epoch  9, Batch    566, Loss  0.607943, Average Loss  0.600616, Time  0.236160
2021-09-16 00:03:54.363824 : Epoch  9, Batch    567, Loss  0.600996, Average Loss  0.600663, Time  0.237228
2021-09-16 00:03:55.896058 : Epoch  9, Batch    568, Loss  0.600053, Average Loss  0.600586, Time  0.236640
2021-09-16 00:03:57.428075 : Epoch  9, Batch    569, Loss  0.594798, Average Loss  0.600576, Time  0.239410
2021-09-16 00:03:58.960391 : Epoch  9, Batch    570, Loss  0.596434, Average Loss  0.600560, Time  0.236087
2021-09-16 00:04:00.492422 : Epoch  9, Batch    571, Loss  0.604002, Average Loss  0.600572, Time  0.235895
2021-09-16 00:04:02.023095 : Epoch  9, Batch    572, Loss  0.604121, Average Loss  0.600589, Time  0.236727
2021-09-16 00:04:03.557385 : Epoch  9, Batch    573, Loss  0.590613, Average Loss  0.600531, Time  0.236891
2021-09-16 00:04:05.095161 : Epoch  9, Batch    574, Loss  0.604451, Average Loss  0.600498, Time  0.237328
2021-09-16 00:04:09.015071 : Epoch  9, Batch    575, Loss  0.605781, Average Loss  0.600491, Time  0.272710
2021-09-16 00:04:10.562600 : Epoch  9, Batch    576, Loss  0.604709, Average Loss  0.600486, Time  0.252664
2021-09-16 00:04:12.110352 : Epoch  9, Batch    577, Loss  0.605378, Average Loss  0.600470, Time  0.242003
2021-09-16 00:04:13.638748 : Epoch  9, Batch    578, Loss  0.609611, Average Loss  0.600510, Time  0.236003
2021-09-16 00:04:15.184037 : Epoch  9, Batch    579, Loss  0.605148, Average Loss  0.600562, Time  0.236236
2021-09-16 00:04:16.713473 : Epoch  9, Batch    580, Loss  0.608775, Average Loss  0.600601, Time  0.235713
2021-09-16 00:04:18.246407 : Epoch  9, Batch    581, Loss  0.602717, Average Loss  0.600584, Time  0.236436
2021-09-16 00:04:19.789775 : Epoch  9, Batch    582, Loss  0.603087, Average Loss  0.600648, Time  0.236132
2021-09-16 00:04:21.338177 : Epoch  9, Batch    583, Loss  0.583801, Average Loss  0.600609, Time  0.236814
2021-09-16 00:04:22.873186 : Epoch  9, Batch    584, Loss  0.610878, Average Loss  0.600671, Time  0.236286
2021-09-16 00:04:24.402925 : Epoch  9, Batch    585, Loss  0.604210, Average Loss  0.600620, Time  0.236745
2021-09-16 00:04:25.927404 : Epoch  9, Batch    586, Loss  0.605601, Average Loss  0.600643, Time  0.235805
2021-09-16 00:04:27.464299 : Epoch  9, Batch    587, Loss  0.589385, Average Loss  0.600579, Time  0.236887
2021-09-16 00:04:28.988182 : Epoch  9, Batch    588, Loss  0.600495, Average Loss  0.600569, Time  0.235664
2021-09-16 00:04:30.525045 : Epoch  9, Batch    589, Loss  0.595847, Average Loss  0.600564, Time  0.236514
2021-09-16 00:04:32.070630 : Epoch  9, Batch    590, Loss  0.600087, Average Loss  0.600575, Time  0.237199
2021-09-16 00:04:33.604021 : Epoch  9, Batch    591, Loss  0.601322, Average Loss  0.600587, Time  0.236078
2021-09-16 00:04:35.132375 : Epoch  9, Batch    592, Loss  0.600410, Average Loss  0.600531, Time  0.236416
2021-09-16 00:04:36.676942 : Epoch  9, Batch    593, Loss  0.600234, Average Loss  0.600523, Time  0.236483
2021-09-16 00:04:38.208427 : Epoch  9, Batch    594, Loss  0.602436, Average Loss  0.600588, Time  0.235732
2021-09-16 00:04:39.737494 : Epoch  9, Batch    595, Loss  0.599776, Average Loss  0.600573, Time  0.235806
2021-09-16 00:04:41.270428 : Epoch  9, Batch    596, Loss  0.594031, Average Loss  0.600549, Time  0.235880
2021-09-16 00:04:42.809035 : Epoch  9, Batch    597, Loss  0.604976, Average Loss  0.600634, Time  0.237347
2021-09-16 00:04:44.340029 : Epoch  9, Batch    598, Loss  0.594000, Average Loss  0.600630, Time  0.236560
2021-09-16 00:04:45.874076 : Epoch  9, Batch    599, Loss  0.610522, Average Loss  0.600730, Time  0.236397
2021-09-16 00:04:47.408399 : Epoch  9, Batch    600, Loss  0.596598, Average Loss  0.600728, Time  0.235983
2021-09-16 00:04:48.944967 : Epoch  9, Batch    601, Loss  0.600623, Average Loss  0.600792, Time  0.238855
2021-09-16 00:04:50.485904 : Epoch  9, Batch    602, Loss  0.610478, Average Loss  0.600884, Time  0.236196
2021-09-16 00:04:52.020852 : Epoch  9, Batch    603, Loss  0.590986, Average Loss  0.600860, Time  0.236144
2021-09-16 00:04:53.555379 : Epoch  9, Batch    604, Loss  0.601592, Average Loss  0.600854, Time  0.237610
2021-09-16 00:05:32.330925 : CheckPoint: Validation Loss  0.00030249, Best Loss  0.00030249
2021-09-16 00:05:32.365799 : Best Model Updated
2021-09-16 00:05:35.693693 : Epoch  1, Batch    701, Loss  0.869022, Average Loss  0.895102, Time  0.243212
2021-09-16 00:05:38.302584 : Epoch  1, Batch    702, Loss  0.882051, Average Loss  0.895075, Time  0.241930
2021-09-16 00:05:40.901436 : Epoch  1, Batch    703, Loss  0.882359, Average Loss  0.894874, Time  0.242197
2021-09-16 00:05:43.539405 : Epoch  1, Batch    704, Loss  0.894897, Average Loss  0.894873, Time  0.241392
2021-09-16 00:05:46.143953 : Epoch  1, Batch    705, Loss  0.871461, Average Loss  0.894767, Time  0.241372
2021-09-16 00:05:48.726858 : Epoch  1, Batch    706, Loss  0.874560, Average Loss  0.894567, Time  0.240443
2021-09-16 00:05:50.949750 : CheckPoint: Validation Loss  0.00024904, Best Loss  0.00024058
2021-09-16 00:05:51.316404 : Epoch  1, Batch    707, Loss  0.888415, Average Loss  0.894527, Time  0.239877
2021-09-16 00:05:52.492598 : Epoch  9, Batch    605, Loss  0.594623, Average Loss  0.600855, Time  0.240539
2021-09-16 00:05:53.893588 : Epoch  1, Batch    708, Loss  0.880769, Average Loss  0.894423, Time  0.240946
2021-09-16 00:05:54.026090 : Epoch  9, Batch    606, Loss  0.601694, Average Loss  0.600798, Time  0.236040
2021-09-16 00:05:55.553877 : Epoch  9, Batch    607, Loss  0.606675, Average Loss  0.600793, Time  0.236805
2021-09-16 00:05:56.476853 : Epoch  1, Batch    709, Loss  0.893358, Average Loss  0.894457, Time  0.240067
2021-09-16 00:05:57.082389 : Epoch  9, Batch    608, Loss  0.599202, Average Loss  0.600770, Time  0.236148
2021-09-16 00:05:58.624167 : Epoch  9, Batch    609, Loss  0.618463, Average Loss  0.600910, Time  0.237576
2021-09-16 00:05:59.059833 : Epoch  1, Batch    710, Loss  0.896800, Average Loss  0.894328, Time  0.240040
2021-09-16 00:06:00.150128 : Epoch  9, Batch    610, Loss  0.601965, Average Loss  0.600869, Time  0.236304
2021-09-16 00:06:01.653489 : Epoch  1, Batch    711, Loss  0.898049, Average Loss  0.894349, Time  0.241199
2021-09-16 00:06:01.690821 : Epoch  9, Batch    611, Loss  0.595092, Average Loss  0.600865, Time  0.236297
2021-09-16 00:06:03.230421 : Epoch  9, Batch    612, Loss  0.595614, Average Loss  0.600863, Time  0.236367
2021-09-16 00:06:04.243581 : Epoch  1, Batch    712, Loss  0.898247, Average Loss  0.894374, Time  0.242109
2021-09-16 00:06:04.752395 : Epoch  9, Batch    613, Loss  0.596817, Average Loss  0.600831, Time  0.235844
2021-09-16 00:06:06.268468 : Epoch  9, Batch    614, Loss  0.594402, Average Loss  0.600757, Time  0.235798
2021-09-16 00:06:06.835794 : Epoch  1, Batch    713, Loss  0.898672, Average Loss  0.894381, Time  0.241369
2021-09-16 00:06:07.793159 : Epoch  9, Batch    615, Loss  0.600473, Average Loss  0.600724, Time  0.236599
2021-09-16 00:06:09.321599 : Epoch  9, Batch    616, Loss  0.601924, Average Loss  0.600768, Time  0.236278
2021-09-16 00:06:09.425156 : Epoch  1, Batch    714, Loss  0.882431, Average Loss  0.894296, Time  0.240565
2021-09-16 00:06:10.853314 : Epoch  9, Batch    617, Loss  0.606742, Average Loss  0.600818, Time  0.236224
2021-09-16 00:06:12.010770 : Epoch  1, Batch    715, Loss  0.867329, Average Loss  0.894261, Time  0.240086
2021-09-16 00:06:12.377201 : Epoch  9, Batch    618, Loss  0.599756, Average Loss  0.600781, Time  0.236633
2021-09-16 00:06:13.892935 : Epoch  9, Batch    619, Loss  0.595024, Average Loss  0.600755, Time  0.235991
2021-09-16 00:06:14.595743 : Epoch  1, Batch    716, Loss  0.884342, Average Loss  0.894234, Time  0.239889
2021-09-16 00:06:15.412094 : Epoch  9, Batch    620, Loss  0.613919, Average Loss  0.600813, Time  0.236139
2021-09-16 00:06:16.945280 : Epoch  9, Batch    621, Loss  0.590829, Average Loss  0.600728, Time  0.237573
2021-09-16 00:06:17.181953 : Epoch  1, Batch    717, Loss  0.865045, Average Loss  0.894062, Time  0.240487
2021-09-16 00:06:18.472401 : Epoch  9, Batch    622, Loss  0.595535, Average Loss  0.600659, Time  0.236837
2021-09-16 00:06:19.761719 : Epoch  1, Batch    718, Loss  0.895916, Average Loss  0.894002, Time  0.241316
2021-09-16 00:06:20.001441 : Epoch  9, Batch    623, Loss  0.610543, Average Loss  0.600724, Time  0.238515
2021-09-16 00:06:21.523962 : Epoch  9, Batch    624, Loss  0.590638, Average Loss  0.600717, Time  0.236128
2021-09-16 00:06:22.343149 : Epoch  1, Batch    719, Loss  0.876220, Average Loss  0.893938, Time  0.240344
2021-09-16 00:06:23.057298 : Epoch  9, Batch    625, Loss  0.604218, Average Loss  0.600751, Time  0.235967
2021-09-16 00:06:24.593009 : Epoch  9, Batch    626, Loss  0.610540, Average Loss  0.600807, Time  0.236409
2021-09-16 00:06:24.935817 : Epoch  1, Batch    720, Loss  0.885867, Average Loss  0.893723, Time  0.243009
2021-09-16 00:06:26.119992 : Epoch  9, Batch    627, Loss  0.602280, Average Loss  0.600791, Time  0.237174
2021-09-16 00:06:27.511382 : Epoch  1, Batch    721, Loss  0.886775, Average Loss  0.893673, Time  0.243135
2021-09-16 00:06:27.655126 : Epoch  9, Batch    628, Loss  0.605705, Average Loss  0.600767, Time  0.236468
2021-09-16 00:06:29.174760 : Epoch  9, Batch    629, Loss  0.609736, Average Loss  0.600810, Time  0.236839
2021-09-16 00:06:30.102729 : Epoch  1, Batch    722, Loss  0.868361, Average Loss  0.893466, Time  0.240305
2021-09-16 00:06:30.699445 : Epoch  9, Batch    630, Loss  0.604209, Average Loss  0.600870, Time  0.236441
2021-09-16 00:06:32.250114 : Epoch  9, Batch    631, Loss  0.601864, Average Loss  0.600861, Time  0.235983
2021-09-16 00:06:32.695945 : Epoch  1, Batch    723, Loss  0.871481, Average Loss  0.893314, Time  0.240139
2021-09-16 00:06:33.314824 : CheckPoint: Validation Loss  0.00030339, Best Loss  0.00029379
2021-09-16 00:06:33.775360 : Epoch  9, Batch    632, Loss  0.598753, Average Loss  0.600890, Time  0.236011
2021-09-16 00:06:35.276000 : Epoch  1, Batch    724, Loss  0.865194, Average Loss  0.893138, Time  0.241205
2021-09-16 00:06:35.307134 : Epoch  9, Batch    633, Loss  0.614636, Average Loss  0.600920, Time  0.236757
2021-09-16 00:06:36.301819 : Epoch  3, Batch   1689, Loss  0.891152, Average Loss  0.871290, Time  0.266822
2021-09-16 00:06:36.839068 : Epoch  9, Batch    634, Loss  0.593024, Average Loss  0.600851, Time  0.236278
2021-09-16 00:06:37.868322 : Epoch  1, Batch    725, Loss  0.876050, Average Loss  0.893038, Time  0.241512
2021-09-16 00:06:38.360145 : Epoch  9, Batch    635, Loss  0.597448, Average Loss  0.600860, Time  0.235869
2021-09-16 00:06:39.288833 : Epoch  3, Batch   1690, Loss  0.875779, Average Loss  0.871291, Time  0.266059
2021-09-16 00:06:39.885412 : Epoch  9, Batch    636, Loss  0.612534, Average Loss  0.600968, Time  0.236424
2021-09-16 00:06:40.454408 : Epoch  1, Batch    726, Loss  0.901077, Average Loss  0.893104, Time  0.240720
2021-09-16 00:06:41.409686 : Epoch  9, Batch    637, Loss  0.613971, Average Loss  0.601058, Time  0.237849
2021-09-16 00:06:42.314614 : Epoch  3, Batch   1691, Loss  0.877699, Average Loss  0.871372, Time  0.265670
2021-09-16 00:06:42.947077 : Epoch  9, Batch    638, Loss  0.601751, Average Loss  0.601033, Time  0.235934
2021-09-16 00:06:43.047317 : Epoch  1, Batch    727, Loss  0.881303, Average Loss  0.893017, Time  0.242642
2021-09-16 00:06:44.472124 : Epoch  9, Batch    639, Loss  0.598181, Average Loss  0.600952, Time  0.236102
2021-09-16 00:06:45.293981 : Epoch  3, Batch   1692, Loss  0.884237, Average Loss  0.871419, Time  0.266967
2021-09-16 00:06:45.637853 : Epoch  1, Batch    728, Loss  0.868257, Average Loss  0.892888, Time  0.241052
2021-09-16 00:06:46.001006 : Epoch  9, Batch    640, Loss  0.593374, Average Loss  0.600895, Time  0.236114
2021-09-16 00:06:47.509066 : Epoch  9, Batch    641, Loss  0.611833, Average Loss  0.600974, Time  0.236112
2021-09-16 00:06:48.224394 : Epoch  1, Batch    729, Loss  0.898680, Average Loss  0.892992, Time  0.240826
2021-09-16 00:06:48.275913 : Epoch  3, Batch   1693, Loss  0.875364, Average Loss  0.871443, Time  0.265220
2021-09-16 00:06:49.033762 : Epoch  9, Batch    642, Loss  0.602687, Average Loss  0.600974, Time  0.236940
2021-09-16 00:06:50.570172 : Epoch  9, Batch    643, Loss  0.599596, Average Loss  0.601010, Time  0.238083
2021-09-16 00:06:50.808167 : Epoch  1, Batch    730, Loss  0.882932, Average Loss  0.892969, Time  0.243959
2021-09-16 00:06:51.276522 : Epoch  3, Batch   1694, Loss  0.877442, Average Loss  0.871465, Time  0.265772
2021-09-16 00:06:52.094691 : Epoch  9, Batch    644, Loss  0.598059, Average Loss  0.600989, Time  0.236155
2021-09-16 00:06:53.388609 : Epoch  1, Batch    731, Loss  0.889972, Average Loss  0.892930, Time  0.241466
2021-09-16 00:06:53.623244 : Epoch  9, Batch    645, Loss  0.597914, Average Loss  0.600980, Time  0.236411
2021-09-16 00:06:54.307915 : Epoch  3, Batch   1695, Loss  0.867853, Average Loss  0.871456, Time  0.276832
2021-09-16 00:06:55.145143 : Epoch  9, Batch    646, Loss  0.598922, Average Loss  0.600981, Time  0.237422
2021-09-16 00:06:55.982379 : Epoch  1, Batch    732, Loss  0.833778, Average Loss  0.892635, Time  0.241485
2021-09-16 00:06:56.674931 : Epoch  9, Batch    647, Loss  0.597368, Average Loss  0.601008, Time  0.235599
2021-09-16 00:06:57.317817 : Epoch  3, Batch   1696, Loss  0.883387, Average Loss  0.871439, Time  0.266586
2021-09-16 00:06:58.199711 : Epoch  9, Batch    648, Loss  0.583467, Average Loss  0.600903, Time  0.236289
2021-09-16 00:06:58.569285 : Epoch  1, Batch    733, Loss  0.882484, Average Loss  0.892518, Time  0.240179
2021-09-16 00:06:59.727425 : Epoch  9, Batch    649, Loss  0.596883, Average Loss  0.600895, Time  0.235752
2021-09-16 00:07:00.310417 : Epoch  3, Batch   1697, Loss  0.873423, Average Loss  0.871461, Time  0.265974
2021-09-16 00:07:01.152089 : Epoch  1, Batch    734, Loss  0.899004, Average Loss  0.892476, Time  0.240532
2021-09-16 00:07:01.262974 : Epoch  9, Batch    650, Loss  0.600281, Average Loss  0.600870, Time  0.235925
2021-09-16 00:07:02.784018 : Epoch  9, Batch    651, Loss  0.616691, Average Loss  0.600967, Time  0.235852
2021-09-16 00:07:03.288278 : Epoch  3, Batch   1698, Loss  0.882652, Average Loss  0.871452, Time  0.265235
2021-09-16 00:07:03.735889 : Epoch  1, Batch    735, Loss  0.906670, Average Loss  0.892457, Time  0.240119
2021-09-16 00:07:04.306380 : Epoch  9, Batch    652, Loss  0.599691, Average Loss  0.601034, Time  0.236115
2021-09-16 00:07:05.836242 : Epoch  9, Batch    653, Loss  0.603165, Average Loss  0.601074, Time  0.235965
2021-09-16 00:07:06.280366 : Epoch  3, Batch   1699, Loss  0.891375, Average Loss  0.871523, Time  0.265984
2021-09-16 00:07:06.313975 : Epoch  1, Batch    736, Loss  0.908112, Average Loss  0.892503, Time  0.240134
2021-09-16 00:07:07.367176 : Epoch  9, Batch    654, Loss  0.589631, Average Loss  0.601044, Time  0.236603
2021-09-16 00:07:08.895474 : Epoch  9, Batch    655, Loss  0.599993, Average Loss  0.601081, Time  0.235952
2021-09-16 00:07:08.929424 : Epoch  1, Batch    737, Loss  0.895228, Average Loss  0.892542, Time  0.241281
2021-09-16 00:07:09.262110 : Epoch  3, Batch   1700, Loss  0.867945, Average Loss  0.871437, Time  0.264920
2021-09-16 00:07:10.431150 : Epoch  9, Batch    656, Loss  0.592502, Average Loss  0.601054, Time  0.236492
2021-09-16 00:07:11.527331 : Epoch  1, Batch    738, Loss  0.883045, Average Loss  0.892432, Time  0.241068
2021-09-16 00:07:11.971691 : Epoch  9, Batch    657, Loss  0.594432, Average Loss  0.601000, Time  0.235684
2021-09-16 00:07:12.243557 : Epoch  3, Batch   1701, Loss  0.887285, Average Loss  0.871665, Time  0.265716
2021-09-16 00:07:13.513417 : Epoch  9, Batch    658, Loss  0.605520, Average Loss  0.601017, Time  0.240234
2021-09-16 00:07:14.152919 : Epoch  1, Batch    739, Loss  0.896737, Average Loss  0.892500, Time  0.240926
2021-09-16 00:07:15.051756 : Epoch  9, Batch    659, Loss  0.602900, Average Loss  0.601053, Time  0.236335
2021-09-16 00:07:15.216939 : Epoch  3, Batch   1702, Loss  0.859177, Average Loss  0.871596, Time  0.265051
2021-09-16 00:07:16.579191 : Epoch  9, Batch    660, Loss  0.590188, Average Loss  0.601037, Time  0.236258
2021-09-16 00:07:16.745402 : Epoch  1, Batch    740, Loss  0.892030, Average Loss  0.892442, Time  0.240187
2021-09-16 00:07:18.103938 : Epoch  9, Batch    661, Loss  0.616980, Average Loss  0.601152, Time  0.236643
2021-09-16 00:07:18.207308 : Epoch  3, Batch   1703, Loss  0.884971, Average Loss  0.871681, Time  0.264440
2021-09-16 00:07:19.336454 : Epoch  1, Batch    741, Loss  0.875409, Average Loss  0.892217, Time  0.240400
2021-09-16 00:07:19.630026 : Epoch  9, Batch    662, Loss  0.607115, Average Loss  0.601179, Time  0.239228
2021-09-16 00:07:21.150104 : Epoch  9, Batch    663, Loss  0.610377, Average Loss  0.601201, Time  0.235984
2021-09-16 00:07:21.178675 : Epoch  3, Batch   1704, Loss  0.868986, Average Loss  0.871705, Time  0.265308
2021-09-16 00:07:21.924282 : Epoch  1, Batch    742, Loss  0.876471, Average Loss  0.892142, Time  0.240009
2021-09-16 00:07:22.688930 : Epoch  9, Batch    664, Loss  0.602071, Average Loss  0.601200, Time  0.236719
2021-09-16 00:07:24.195331 : Epoch  3, Batch   1705, Loss  0.890415, Average Loss  0.871845, Time  0.266183
2021-09-16 00:07:24.222688 : Epoch  9, Batch    665, Loss  0.591878, Average Loss  0.601167, Time  0.237045
2021-09-16 00:07:24.521554 : Epoch  1, Batch    743, Loss  0.869897, Average Loss  0.891993, Time  0.240826
2021-09-16 00:07:25.730198 : Epoch  9, Batch    666, Loss  0.598331, Average Loss  0.601161, Time  0.236377
2021-09-16 00:07:27.103460 : Epoch  1, Batch    744, Loss  0.882505, Average Loss  0.891890, Time  0.240292
2021-09-16 00:07:27.227982 : Epoch  3, Batch   1706, Loss  0.868181, Average Loss  0.871821, Time  0.266685
2021-09-16 00:07:27.265041 : Epoch  9, Batch    667, Loss  0.597849, Average Loss  0.601199, Time  0.238141
2021-09-16 00:07:28.776050 : Epoch  9, Batch    668, Loss  0.606815, Average Loss  0.601233, Time  0.238057
2021-09-16 00:07:29.691990 : Epoch  1, Batch    745, Loss  0.873106, Average Loss  0.891739, Time  0.240002
2021-09-16 00:07:30.236260 : Epoch  3, Batch   1707, Loss  0.893349, Average Loss  0.871946, Time  0.268892
2021-09-16 00:07:30.305104 : Epoch  9, Batch    669, Loss  0.608934, Average Loss  0.601335, Time  0.236300
2021-09-16 00:07:31.813387 : Epoch  9, Batch    670, Loss  0.598934, Average Loss  0.601235, Time  0.235832
2021-09-16 00:07:32.277434 : Epoch  1, Batch    746, Loss  0.887200, Average Loss  0.891705, Time  0.241418
2021-09-16 00:07:33.218528 : Epoch  3, Batch   1708, Loss  0.864391, Average Loss  0.872015, Time  0.267069
2021-09-16 00:07:33.327892 : Epoch  9, Batch    671, Loss  0.593673, Average Loss  0.601202, Time  0.236926
2021-09-16 00:07:34.836629 : Epoch  9, Batch    672, Loss  0.612587, Average Loss  0.601230, Time  0.236310
2021-09-16 00:07:34.870137 : Epoch  1, Batch    747, Loss  0.874763, Average Loss  0.891609, Time  0.240319
2021-09-16 00:07:36.229580 : Epoch  3, Batch   1709, Loss  0.873603, Average Loss  0.871985, Time  0.264463
2021-09-16 00:07:36.366407 : Epoch  9, Batch    673, Loss  0.616929, Average Loss  0.601278, Time  0.236729
2021-09-16 00:07:37.440584 : Epoch  1, Batch    748, Loss  0.879166, Average Loss  0.891475, Time  0.240515
2021-09-16 00:07:37.876206 : Epoch  9, Batch    674, Loss  0.605586, Average Loss  0.601342, Time  0.235907
2021-09-16 00:07:39.248644 : Epoch  3, Batch   1710, Loss  0.883311, Average Loss  0.871949, Time  0.278977
2021-09-16 00:07:40.012287 : Epoch  1, Batch    749, Loss  0.900400, Average Loss  0.891414, Time  0.240132
2021-09-16 00:07:41.713859 : Epoch  9, Batch    675, Loss  0.603750, Average Loss  0.601318, Time  0.260705
2021-09-16 00:07:42.229053 : Epoch  3, Batch   1711, Loss  0.875906, Average Loss  0.871949, Time  0.267424
2021-09-16 00:07:42.593677 : Epoch  1, Batch    750, Loss  0.877409, Average Loss  0.891318, Time  0.239716
2021-09-16 00:07:43.245046 : Epoch  9, Batch    676, Loss  0.597340, Average Loss  0.601320, Time  0.241474
2021-09-16 00:07:44.774999 : Epoch  9, Batch    677, Loss  0.600870, Average Loss  0.601271, Time  0.237183
2021-09-16 00:07:45.173601 : Epoch  1, Batch    751, Loss  0.891962, Average Loss  0.891372, Time  0.240134
2021-09-16 00:07:45.229213 : Epoch  3, Batch   1712, Loss  0.869428, Average Loss  0.871911, Time  0.265546
2021-09-16 00:07:46.290599 : Epoch  9, Batch    678, Loss  0.600157, Average Loss  0.601254, Time  0.235963
2021-09-16 00:07:47.750063 : Epoch  1, Batch    752, Loss  0.903195, Average Loss  0.891509, Time  0.240633
2021-09-16 00:07:47.850383 : Epoch  9, Batch    679, Loss  0.603340, Average Loss  0.601231, Time  0.264363
2021-09-16 00:07:48.194113 : Epoch  3, Batch   1713, Loss  0.859573, Average Loss  0.871854, Time  0.265410
2021-09-16 00:07:49.369416 : Epoch  9, Batch    680, Loss  0.608250, Average Loss  0.601263, Time  0.236208
2021-09-16 00:07:50.371395 : Epoch  1, Batch    753, Loss  0.881627, Average Loss  0.891493, Time  0.241044
2021-09-16 00:07:50.894269 : Epoch  9, Batch    681, Loss  0.609164, Average Loss  0.601299, Time  0.236956
2021-09-16 00:07:51.182748 : Epoch  3, Batch   1714, Loss  0.893508, Average Loss  0.871950, Time  0.265393
2021-09-16 00:07:52.431184 : Epoch  9, Batch    682, Loss  0.606542, Average Loss  0.601298, Time  0.236750
2021-09-16 00:07:52.956709 : Epoch  1, Batch    754, Loss  0.882737, Average Loss  0.891374, Time  0.241325
2021-09-16 00:07:53.955660 : Epoch  9, Batch    683, Loss  0.593488, Average Loss  0.601229, Time  0.238612
2021-09-16 00:07:54.162730 : Epoch  3, Batch   1715, Loss  0.865165, Average Loss  0.871977, Time  0.266494
2021-09-16 00:07:55.484859 : Epoch  9, Batch    684, Loss  0.601033, Average Loss  0.601180, Time  0.237320
2021-09-16 00:07:55.561113 : Epoch  1, Batch    755, Loss  0.905533, Average Loss  0.891578, Time  0.242568
2021-09-16 00:07:57.018440 : Epoch  9, Batch    685, Loss  0.595428, Average Loss  0.601146, Time  0.236639
2021-09-16 00:07:57.160221 : Epoch  3, Batch   1716, Loss  0.877511, Average Loss  0.871941, Time  0.267141
2021-09-16 00:07:58.143372 : Epoch  1, Batch    756, Loss  0.889407, Average Loss  0.891441, Time  0.240627
2021-09-16 00:07:58.545059 : Epoch  9, Batch    686, Loss  0.604337, Average Loss  0.601156, Time  0.236971
2021-09-16 00:08:00.071435 : Epoch  9, Batch    687, Loss  0.586560, Average Loss  0.601146, Time  0.237123
2021-09-16 00:08:00.129468 : Epoch  3, Batch   1717, Loss  0.864465, Average Loss  0.871838, Time  0.267529
2021-09-16 00:08:00.727411 : Epoch  1, Batch    757, Loss  0.892084, Average Loss  0.891418, Time  0.240259
2021-09-16 00:08:01.596303 : Epoch  9, Batch    688, Loss  0.592352, Average Loss  0.601092, Time  0.238062
2021-09-16 00:08:03.115405 : Epoch  3, Batch   1718, Loss  0.882326, Average Loss  0.871783, Time  0.265544
2021-09-16 00:08:03.127009 : Epoch  9, Batch    689, Loss  0.602643, Average Loss  0.601067, Time  0.235959
2021-09-16 00:08:03.325932 : Epoch  1, Batch    758, Loss  0.858009, Average Loss  0.891198, Time  0.240789
2021-09-16 00:08:04.651406 : Epoch  9, Batch    690, Loss  0.608812, Average Loss  0.601087, Time  0.236900
2021-09-16 00:08:05.916864 : Epoch  1, Batch    759, Loss  0.879176, Average Loss  0.891094, Time  0.240561
2021-09-16 00:08:06.100719 : Epoch  3, Batch   1719, Loss  0.850472, Average Loss  0.871634, Time  0.265815
2021-09-16 00:08:06.169481 : Epoch  9, Batch    691, Loss  0.598042, Average Loss  0.601144, Time  0.235787
2021-09-16 00:08:07.693419 : Epoch  9, Batch    692, Loss  0.604474, Average Loss  0.601176, Time  0.244817
2021-09-16 00:08:08.502964 : Epoch  1, Batch    760, Loss  0.899100, Average Loss  0.891081, Time  0.240163
2021-09-16 00:08:09.070101 : Epoch  3, Batch   1720, Loss  0.873990, Average Loss  0.871652, Time  0.265731
2021-09-16 00:08:09.238472 : Epoch  9, Batch    693, Loss  0.599407, Average Loss  0.601186, Time  0.237037
2021-09-16 00:08:10.761188 : Epoch  9, Batch    694, Loss  0.607168, Average Loss  0.601151, Time  0.235829
2021-09-16 00:08:11.087103 : Epoch  1, Batch    761, Loss  0.889066, Average Loss  0.891163, Time  0.240345
2021-09-16 00:08:12.061936 : Epoch  3, Batch   1721, Loss  0.875045, Average Loss  0.871691, Time  0.267061
2021-09-16 00:08:12.298088 : Epoch  9, Batch    695, Loss  0.600358, Average Loss  0.601131, Time  0.236253
2021-09-16 00:08:13.668033 : Epoch  1, Batch    762, Loss  0.906701, Average Loss  0.891221, Time  0.241095
2021-09-16 00:08:13.831925 : Epoch  9, Batch    696, Loss  0.597700, Average Loss  0.601208, Time  0.237494
2021-09-16 00:08:15.063871 : Epoch  3, Batch   1722, Loss  0.868853, Average Loss  0.871667, Time  0.266363
2021-09-16 00:08:15.361167 : Epoch  9, Batch    697, Loss  0.599134, Average Loss  0.601215, Time  0.235953
2021-09-16 00:08:16.257608 : Epoch  1, Batch    763, Loss  0.898526, Average Loss  0.891166, Time  0.239989
2021-09-16 00:08:16.887138 : Epoch  9, Batch    698, Loss  0.608501, Average Loss  0.601265, Time  0.236654
2021-09-16 00:08:18.083403 : Epoch  3, Batch   1723, Loss  0.876004, Average Loss  0.871712, Time  0.265303
2021-09-16 00:08:18.430018 : Epoch  9, Batch    699, Loss  0.605792, Average Loss  0.601324, Time  0.235872
2021-09-16 00:08:18.845406 : Epoch  1, Batch    764, Loss  0.890897, Average Loss  0.891211, Time  0.240762
2021-09-16 00:08:19.951446 : Epoch  9, Batch    700, Loss  0.596203, Average Loss  0.601310, Time  0.235733
2021-09-16 00:08:21.085449 : Epoch  3, Batch   1724, Loss  0.847456, Average Loss  0.871655, Time  0.266098
2021-09-16 00:08:21.429434 : Epoch  1, Batch    765, Loss  0.876823, Average Loss  0.891081, Time  0.239928
2021-09-16 00:08:21.494448 : Epoch  9, Batch    701, Loss  0.591732, Average Loss  0.601284, Time  0.235807
2021-09-16 00:08:23.025597 : Epoch  9, Batch    702, Loss  0.593747, Average Loss  0.601265, Time  0.235687
2021-09-16 00:08:24.008958 : Epoch  1, Batch    766, Loss  0.904809, Average Loss  0.891196, Time  0.240216
2021-09-16 00:08:24.086953 : Epoch  3, Batch   1725, Loss  0.875926, Average Loss  0.871803, Time  0.273566
2021-09-16 00:08:24.558390 : Epoch  9, Batch    703, Loss  0.600748, Average Loss  0.601206, Time  0.235602
2021-09-16 00:08:26.599424 : Epoch  1, Batch    767, Loss  0.880001, Average Loss  0.891093, Time  0.240765
2021-09-16 00:08:27.071841 : Epoch  3, Batch   1726, Loss  0.853202, Average Loss  0.871819, Time  0.266053
2021-09-16 00:08:28.457396 : Epoch  9, Batch    704, Loss  0.603383, Average Loss  0.601275, Time  0.273303
2021-09-16 00:08:29.186286 : Epoch  1, Batch    768, Loss  0.906965, Average Loss  0.891150, Time  0.240803
2021-09-16 00:08:30.057642 : Epoch  3, Batch   1727, Loss  0.864287, Average Loss  0.871786, Time  0.265872
2021-09-16 00:08:31.777560 : Epoch  1, Batch    769, Loss  0.889843, Average Loss  0.891140, Time  0.241030
2021-09-16 00:08:33.038921 : Epoch  3, Batch   1728, Loss  0.861823, Average Loss  0.871714, Time  0.265444
2021-09-16 00:08:34.376422 : Epoch  1, Batch    770, Loss  0.864679, Average Loss  0.891012, Time  0.240066
2021-09-16 00:08:36.053216 : Epoch  3, Batch   1729, Loss  0.869375, Average Loss  0.871668, Time  0.266474
2021-09-16 00:08:36.973755 : Epoch  1, Batch    771, Loss  0.881926, Average Loss  0.890998, Time  0.240280
2021-09-16 00:08:39.048990 : Epoch  3, Batch   1730, Loss  0.834928, Average Loss  0.871419, Time  0.268943
2021-09-16 00:08:39.568272 : Epoch  1, Batch    772, Loss  0.879282, Average Loss  0.890889, Time  0.244489
2021-09-16 00:08:42.066300 : Epoch  3, Batch   1731, Loss  0.881333, Average Loss  0.871427, Time  0.266428
2021-09-16 00:08:42.170335 : Epoch  1, Batch    773, Loss  0.887622, Average Loss  0.890913, Time  0.241726
2021-09-16 00:08:44.777451 : Epoch  1, Batch    774, Loss  0.898465, Average Loss  0.890907, Time  0.241048
2021-09-16 00:08:45.055148 : Epoch  3, Batch   1732, Loss  0.865188, Average Loss  0.871413, Time  0.267395
2021-09-16 00:08:47.382639 : Epoch  1, Batch    775, Loss  0.881122, Average Loss  0.890880, Time  0.240949
2021-09-16 00:08:48.068770 : Epoch  3, Batch   1733, Loss  0.866304, Average Loss  0.871493, Time  0.267314
2021-09-16 00:08:49.969912 : Epoch  1, Batch    776, Loss  0.908227, Average Loss  0.890870, Time  0.240792
2021-09-16 00:08:51.091807 : Epoch  3, Batch   1734, Loss  0.856894, Average Loss  0.871393, Time  0.266863
2021-09-16 00:08:52.571733 : Epoch  1, Batch    777, Loss  0.892175, Average Loss  0.890846, Time  0.242995
2021-09-16 00:08:54.075835 : Epoch  3, Batch   1735, Loss  0.865431, Average Loss  0.871489, Time  0.265779
2021-09-16 00:08:55.170456 : Epoch  1, Batch    778, Loss  0.885089, Average Loss  0.890701, Time  0.241717
2021-09-16 00:08:57.084991 : Epoch  3, Batch   1736, Loss  0.898643, Average Loss  0.871506, Time  0.268910
2021-09-16 00:08:57.763837 : Epoch  1, Batch    779, Loss  0.885069, Average Loss  0.890617, Time  0.241551
2021-09-16 00:09:00.105656 : Epoch  3, Batch   1737, Loss  0.881883, Average Loss  0.871586, Time  0.266300
2021-09-16 00:09:00.361238 : Epoch  1, Batch    780, Loss  0.889376, Average Loss  0.890645, Time  0.240214
2021-09-16 00:09:02.938673 : Epoch  1, Batch    781, Loss  0.906074, Average Loss  0.890633, Time  0.240054
2021-09-16 00:09:03.124603 : Epoch  3, Batch   1738, Loss  0.862416, Average Loss  0.871432, Time  0.266110
2021-09-16 00:09:05.536395 : Epoch  1, Batch    782, Loss  0.887791, Average Loss  0.890631, Time  0.240142
2021-09-16 00:09:06.103079 : Epoch  3, Batch   1739, Loss  0.885537, Average Loss  0.871572, Time  0.265439
2021-09-16 00:09:08.135866 : Epoch  1, Batch    783, Loss  0.896676, Average Loss  0.890599, Time  0.248998
2021-09-16 00:09:09.109174 : Epoch  3, Batch   1740, Loss  0.890728, Average Loss  0.871673, Time  0.278049
2021-09-16 00:09:10.726428 : Epoch  1, Batch    784, Loss  0.904257, Average Loss  0.890634, Time  0.240114
2021-09-16 00:09:12.091005 : Epoch  3, Batch   1741, Loss  0.881938, Average Loss  0.871790, Time  0.265753
2021-09-16 00:09:13.315845 : Epoch  1, Batch    785, Loss  0.875303, Average Loss  0.890641, Time  0.240364
2021-09-16 00:09:15.079751 : Epoch  3, Batch   1742, Loss  0.855111, Average Loss  0.871719, Time  0.267211
2021-09-16 00:09:15.920699 : Epoch  1, Batch    786, Loss  0.893143, Average Loss  0.890675, Time  0.239950
2021-09-16 00:09:18.067021 : Epoch  3, Batch   1743, Loss  0.887991, Average Loss  0.871870, Time  0.266590
2021-09-16 00:09:18.503513 : Epoch  1, Batch    787, Loss  0.899899, Average Loss  0.890758, Time  0.241701
2021-09-16 00:09:21.049381 : Epoch  3, Batch   1744, Loss  0.869094, Average Loss  0.871877, Time  0.265865
2021-09-16 00:09:21.071411 : Epoch  1, Batch    788, Loss  0.893018, Average Loss  0.890794, Time  0.240216
2021-09-16 00:09:23.671410 : Epoch  1, Batch    789, Loss  0.886096, Average Loss  0.890810, Time  0.239961
2021-09-16 00:09:24.033454 : Epoch  3, Batch   1745, Loss  0.871380, Average Loss  0.871909, Time  0.264972
2021-09-16 00:09:25.499725 : CheckPoint: Validation Loss  0.00025074, Best Loss  0.00024058
2021-09-16 00:09:26.262672 : Epoch  1, Batch    790, Loss  0.896470, Average Loss  0.890767, Time  0.240350
2021-09-16 00:09:27.017138 : Epoch  3, Batch   1746, Loss  0.849908, Average Loss  0.871728, Time  0.265232
2021-09-16 00:09:27.071045 : Epoch  9, Batch    705, Loss  0.592778, Average Loss  0.601260, Time  0.264563
2021-09-16 00:09:28.624210 : Epoch  9, Batch    706, Loss  0.597861, Average Loss  0.601215, Time  0.244366
2021-09-16 00:09:28.850437 : Epoch  1, Batch    791, Loss  0.893283, Average Loss  0.890689, Time  0.240922
2021-09-16 00:09:30.018356 : Epoch  3, Batch   1747, Loss  0.875972, Average Loss  0.871697, Time  0.266005
2021-09-16 00:09:30.162166 : Epoch  9, Batch    707, Loss  0.600302, Average Loss  0.601193, Time  0.237610
2021-09-16 00:09:31.430905 : Epoch  1, Batch    792, Loss  0.865296, Average Loss  0.890538, Time  0.240611
2021-09-16 00:09:31.702098 : Epoch  9, Batch    708, Loss  0.605335, Average Loss  0.601220, Time  0.237216
2021-09-16 00:09:33.003147 : Epoch  3, Batch   1748, Loss  0.879668, Average Loss  0.871746, Time  0.265895
2021-09-16 00:09:33.237323 : Epoch  9, Batch    709, Loss  0.599038, Average Loss  0.601192, Time  0.236531
2021-09-16 00:09:34.022294 : Epoch  1, Batch    793, Loss  0.869038, Average Loss  0.890495, Time  0.240513
2021-09-16 00:09:34.773256 : Epoch  9, Batch    710, Loss  0.609489, Average Loss  0.601251, Time  0.238906
2021-09-16 00:09:35.980904 : Epoch  3, Batch   1749, Loss  0.848483, Average Loss  0.871628, Time  0.265665
2021-09-16 00:09:36.316681 : Epoch  9, Batch    711, Loss  0.608241, Average Loss  0.601287, Time  0.237065
2021-09-16 00:09:36.606563 : Epoch  1, Batch    794, Loss  0.897330, Average Loss  0.890476, Time  0.240307
2021-09-16 00:09:37.842357 : Epoch  9, Batch    712, Loss  0.585556, Average Loss  0.601191, Time  0.235948
2021-09-16 00:09:38.984329 : Epoch  3, Batch   1750, Loss  0.861176, Average Loss  0.871611, Time  0.265847
2021-09-16 00:09:39.186849 : Epoch  1, Batch    795, Loss  0.882371, Average Loss  0.890449, Time  0.240229
2021-09-16 00:09:39.371416 : Epoch  9, Batch    713, Loss  0.602486, Average Loss  0.601214, Time  0.236114
2021-09-16 00:09:40.892550 : Epoch  9, Batch    714, Loss  0.606623, Average Loss  0.601198, Time  0.237126
2021-09-16 00:09:41.776066 : Epoch  1, Batch    796, Loss  0.902225, Average Loss  0.890591, Time  0.240574
2021-09-16 00:09:42.013058 : Epoch  3, Batch   1751, Loss  0.867659, Average Loss  0.871599, Time  0.266074
2021-09-16 00:09:42.423424 : Epoch  9, Batch    715, Loss  0.604040, Average Loss  0.601188, Time  0.237200
2021-09-16 00:09:43.948139 : Epoch  9, Batch    716, Loss  0.609741, Average Loss  0.601206, Time  0.237047
2021-09-16 00:09:44.375972 : Epoch  1, Batch    797, Loss  0.890147, Average Loss  0.890722, Time  0.243131
2021-09-16 00:09:45.003140 : Epoch  3, Batch   1752, Loss  0.867200, Average Loss  0.871497, Time  0.265646
2021-09-16 00:09:45.479570 : Epoch  9, Batch    717, Loss  0.609350, Average Loss  0.601270, Time  0.236050
2021-09-16 00:09:46.960603 : Epoch  1, Batch    798, Loss  0.861615, Average Loss  0.890516, Time  0.241074
2021-09-16 00:09:47.009407 : Epoch  9, Batch    718, Loss  0.597752, Average Loss  0.601290, Time  0.236275
2021-09-16 00:09:47.972429 : Epoch  3, Batch   1753, Loss  0.885912, Average Loss  0.871562, Time  0.265224
2021-09-16 00:09:48.542823 : Epoch  9, Batch    719, Loss  0.609944, Average Loss  0.601333, Time  0.236257
2021-09-16 00:09:49.546005 : Epoch  1, Batch    799, Loss  0.885057, Average Loss  0.890487, Time  0.242004
2021-09-16 00:09:50.069257 : Epoch  9, Batch    720, Loss  0.596463, Average Loss  0.601159, Time  0.235854
2021-09-16 00:09:50.950192 : Epoch  3, Batch   1754, Loss  0.885341, Average Loss  0.871582, Time  0.265771
2021-09-16 00:09:51.596441 : Epoch  9, Batch    721, Loss  0.581233, Average Loss  0.601055, Time  0.235844
2021-09-16 00:09:52.133023 : Epoch  1, Batch    800, Loss  0.886771, Average Loss  0.890384, Time  0.240781
2021-09-16 00:09:53.121828 : Epoch  9, Batch    722, Loss  0.597764, Average Loss  0.601051, Time  0.235929
2021-09-16 00:09:53.963555 : Epoch  3, Batch   1755, Loss  0.870123, Average Loss  0.871609, Time  0.276590
2021-09-16 00:09:54.646463 : Epoch  9, Batch    723, Loss  0.598263, Average Loss  0.601049, Time  0.236207
2021-09-16 00:09:56.174695 : Epoch  9, Batch    724, Loss  0.591541, Average Loss  0.600994, Time  0.237353
2021-09-16 00:09:56.944068 : Epoch  3, Batch   1756, Loss  0.891846, Average Loss  0.871767, Time  0.267364
2021-09-16 00:09:57.699632 : Epoch  9, Batch    725, Loss  0.606853, Average Loss  0.600983, Time  0.237289
2021-09-16 00:09:59.222637 : Epoch  9, Batch    726, Loss  0.605400, Average Loss  0.601023, Time  0.235929
2021-09-16 00:09:59.963605 : Epoch  3, Batch   1757, Loss  0.890512, Average Loss  0.871837, Time  0.266459
2021-09-16 00:10:00.748722 : Epoch  9, Batch    727, Loss  0.599736, Average Loss  0.600938, Time  0.237448
2021-09-16 00:10:02.278993 : Epoch  9, Batch    728, Loss  0.604922, Average Loss  0.600942, Time  0.236113
2021-09-16 00:10:02.978402 : Epoch  3, Batch   1758, Loss  0.887676, Average Loss  0.871889, Time  0.265775
2021-09-16 00:10:03.815902 : Epoch  9, Batch    729, Loss  0.592003, Average Loss  0.600904, Time  0.237015
2021-09-16 00:10:05.352377 : Epoch  9, Batch    730, Loss  0.593967, Average Loss  0.600899, Time  0.235977
2021-09-16 00:10:05.972610 : Epoch  3, Batch   1759, Loss  0.868730, Average Loss  0.871807, Time  0.266784
2021-09-16 00:10:06.904410 : Epoch  9, Batch    731, Loss  0.592709, Average Loss  0.600924, Time  0.236471
2021-09-16 00:10:08.427881 : Epoch  9, Batch    732, Loss  0.604189, Average Loss  0.600873, Time  0.236077
2021-09-16 00:10:08.994500 : Epoch  3, Batch   1760, Loss  0.835048, Average Loss  0.871625, Time  0.266425
2021-09-16 00:10:09.955349 : Epoch  9, Batch    733, Loss  0.599893, Average Loss  0.600923, Time  0.236528
2021-09-16 00:10:11.488598 : Epoch  9, Batch    734, Loss  0.601097, Average Loss  0.600958, Time  0.237178
2021-09-16 00:10:12.017326 : Epoch  3, Batch   1761, Loss  0.868406, Average Loss  0.871663, Time  0.265249
2021-09-16 00:10:13.025756 : Epoch  9, Batch    735, Loss  0.589389, Average Loss  0.600866, Time  0.235826
2021-09-16 00:10:14.562998 : Epoch  9, Batch    736, Loss  0.602776, Average Loss  0.600884, Time  0.237490
2021-09-16 00:10:15.011406 : Epoch  3, Batch   1762, Loss  0.866938, Average Loss  0.871582, Time  0.265144
2021-09-16 00:10:16.091427 : Epoch  9, Batch    737, Loss  0.599754, Average Loss  0.600909, Time  0.235825
2021-09-16 00:10:17.660440 : Epoch  9, Batch    738, Loss  0.595563, Average Loss  0.600920, Time  0.236786
2021-09-16 00:10:17.986816 : Epoch  3, Batch   1763, Loss  0.875670, Average Loss  0.871570, Time  0.265558
2021-09-16 00:10:19.199407 : Epoch  9, Batch    739, Loss  0.592941, Average Loss  0.600874, Time  0.235851
2021-09-16 00:10:20.728387 : Epoch  9, Batch    740, Loss  0.604318, Average Loss  0.600874, Time  0.236696
2021-09-16 00:10:20.969632 : Epoch  3, Batch   1764, Loss  0.860813, Average Loss  0.871461, Time  0.265481
2021-09-16 00:10:22.269405 : Epoch  9, Batch    741, Loss  0.611529, Average Loss  0.600984, Time  0.236318
2021-09-16 00:10:23.805535 : Epoch  9, Batch    742, Loss  0.609384, Average Loss  0.601059, Time  0.236098
2021-09-16 00:10:23.951410 : Epoch  3, Batch   1765, Loss  0.863726, Average Loss  0.871417, Time  0.265228
2021-09-16 00:10:25.343585 : Epoch  9, Batch    743, Loss  0.597003, Average Loss  0.601042, Time  0.235951
2021-09-16 00:10:26.890392 : Epoch  9, Batch    744, Loss  0.602015, Average Loss  0.600990, Time  0.236097
2021-09-16 00:10:26.945151 : Epoch  3, Batch   1766, Loss  0.888481, Average Loss  0.871502, Time  0.265966
2021-09-16 00:10:28.426240 : Epoch  9, Batch    745, Loss  0.602345, Average Loss  0.600943, Time  0.236076
2021-09-16 00:10:29.958523 : Epoch  3, Batch   1767, Loss  0.865016, Average Loss  0.871468, Time  0.265469
2021-09-16 00:10:29.968499 : Epoch  9, Batch    746, Loss  0.598240, Average Loss  0.600963, Time  0.237498
2021-09-16 00:10:31.521199 : Epoch  9, Batch    747, Loss  0.609278, Average Loss  0.601038, Time  0.237047
2021-09-16 00:10:32.958526 : Epoch  3, Batch   1768, Loss  0.879315, Average Loss  0.871625, Time  0.265082
2021-09-16 00:10:33.055227 : Epoch  9, Batch    748, Loss  0.596311, Average Loss  0.601013, Time  0.236692
2021-09-16 00:10:34.586719 : Epoch  9, Batch    749, Loss  0.605212, Average Loss  0.601019, Time  0.235945
2021-09-16 00:10:35.997849 : Epoch  3, Batch   1769, Loss  0.868700, Average Loss  0.871628, Time  0.265720
2021-09-16 00:10:36.128394 : Epoch  9, Batch    750, Loss  0.603500, Average Loss  0.601001, Time  0.236525
2021-09-16 00:10:37.653444 : Epoch  9, Batch    751, Loss  0.600597, Average Loss  0.600990, Time  0.235801
2021-09-16 00:10:38.999736 : Epoch  3, Batch   1770, Loss  0.863553, Average Loss  0.871604, Time  0.279233
2021-09-16 00:10:39.195475 : Epoch  9, Batch    752, Loss  0.606266, Average Loss  0.601036, Time  0.236295
2021-09-16 00:10:40.721460 : Epoch  9, Batch    753, Loss  0.604065, Average Loss  0.601044, Time  0.237115
2021-09-16 00:10:42.028738 : Epoch  3, Batch   1771, Loss  0.849638, Average Loss  0.871407, Time  0.267299
2021-09-16 00:10:42.252404 : Epoch  9, Batch    754, Loss  0.607524, Average Loss  0.601129, Time  0.235589
2021-09-16 00:10:43.783417 : Epoch  9, Batch    755, Loss  0.601856, Average Loss  0.601176, Time  0.236312
2021-09-16 00:10:45.020859 : Epoch  3, Batch   1772, Loss  0.875546, Average Loss  0.871381, Time  0.265393
2021-09-16 00:10:45.311576 : Epoch  9, Batch    756, Loss  0.593186, Average Loss  0.601162, Time  0.236994
2021-09-16 00:10:46.836278 : Epoch  9, Batch    757, Loss  0.590015, Average Loss  0.601144, Time  0.235852
2021-09-16 00:10:48.008294 : Epoch  3, Batch   1773, Loss  0.867571, Average Loss  0.871371, Time  0.265340
2021-09-16 00:10:48.379264 : Epoch  9, Batch    758, Loss  0.592641, Average Loss  0.601113, Time  0.241239
2021-09-16 00:10:49.907878 : Epoch  9, Batch    759, Loss  0.591994, Average Loss  0.601060, Time  0.236078
2021-09-16 00:10:50.996054 : Epoch  3, Batch   1774, Loss  0.878951, Average Loss  0.871470, Time  0.267304
2021-09-16 00:10:51.447941 : Epoch  9, Batch    760, Loss  0.606862, Average Loss  0.601070, Time  0.236769
2021-09-16 00:10:52.975861 : Epoch  9, Batch    761, Loss  0.600143, Average Loss  0.601110, Time  0.235684
2021-09-16 00:10:53.996515 : Epoch  3, Batch   1775, Loss  0.865135, Average Loss  0.871377, Time  0.265659
2021-09-16 00:10:54.514441 : Epoch  9, Batch    762, Loss  0.597704, Average Loss  0.601042, Time  0.236116
2021-09-16 00:10:56.049424 : Epoch  9, Batch    763, Loss  0.593781, Average Loss  0.600994, Time  0.236331
2021-09-16 00:10:57.006987 : Epoch  3, Batch   1776, Loss  0.861517, Average Loss  0.871433, Time  0.266400
2021-09-16 00:10:57.588644 : Epoch  9, Batch    764, Loss  0.589208, Average Loss  0.600937, Time  0.237276
2021-09-16 00:10:59.124058 : Epoch  9, Batch    765, Loss  0.621175, Average Loss  0.601052, Time  0.236054
2021-09-16 00:11:00.038641 : Epoch  3, Batch   1777, Loss  0.862346, Average Loss  0.871464, Time  0.267409
2021-09-16 00:11:00.669404 : Epoch  9, Batch    766, Loss  0.602133, Average Loss  0.601023, Time  0.236998
2021-09-16 00:11:02.206061 : Epoch  9, Batch    767, Loss  0.591612, Average Loss  0.600976, Time  0.236328
2021-09-16 00:11:03.017861 : Epoch  3, Batch   1778, Loss  0.891830, Average Loss  0.871589, Time  0.265658
2021-09-16 00:11:03.732607 : Epoch  9, Batch    768, Loss  0.605304, Average Loss  0.601003, Time  0.236542
2021-09-16 00:11:05.271105 : Epoch  9, Batch    769, Loss  0.587970, Average Loss  0.600968, Time  0.236707
2021-09-16 00:11:06.019777 : Epoch  3, Batch   1779, Loss  0.890762, Average Loss  0.871640, Time  0.265704
2021-09-16 00:11:06.808602 : Epoch  9, Batch    770, Loss  0.604960, Average Loss  0.601011, Time  0.235922
2021-09-16 00:11:08.344873 : Epoch  9, Batch    771, Loss  0.600326, Average Loss  0.600993, Time  0.235996
2021-09-16 00:11:09.014987 : Epoch  3, Batch   1780, Loss  0.881905, Average Loss  0.871729, Time  0.266131
2021-09-16 00:11:09.883142 : Epoch  9, Batch    772, Loss  0.605519, Average Loss  0.601000, Time  0.236013
2021-09-16 00:11:11.417989 : Epoch  9, Batch    773, Loss  0.598620, Average Loss  0.601040, Time  0.236068
2021-09-16 00:11:12.003204 : Epoch  3, Batch   1781, Loss  0.850478, Average Loss  0.871610, Time  0.266477
2021-09-16 00:11:12.948838 : Epoch  9, Batch    774, Loss  0.602338, Average Loss  0.601029, Time  0.235955
2021-09-16 00:11:15.017491 : Epoch  3, Batch   1782, Loss  0.874208, Average Loss  0.871716, Time  0.265575
2021-09-16 00:11:16.781105 : Epoch  9, Batch    775, Loss  0.601929, Average Loss  0.601010, Time  0.265349
2021-09-16 00:11:18.036891 : Epoch  3, Batch   1783, Loss  0.864457, Average Loss  0.871659, Time  0.266049
2021-09-16 00:11:18.317393 : Epoch  9, Batch    776, Loss  0.599179, Average Loss  0.600982, Time  0.241843
2021-09-16 00:11:19.844294 : Epoch  9, Batch    777, Loss  0.604544, Average Loss  0.600978, Time  0.236923
2021-09-16 00:11:21.032869 : Epoch  3, Batch   1784, Loss  0.865006, Average Loss  0.871579, Time  0.265435
2021-09-16 00:11:21.381177 : Epoch  9, Batch    778, Loss  0.594359, Average Loss  0.600902, Time  0.237262
2021-09-16 00:11:22.906096 : Epoch  9, Batch    779, Loss  0.593924, Average Loss  0.600846, Time  0.235717
2021-09-16 00:11:24.048867 : Epoch  3, Batch   1785, Loss  0.875521, Average Loss  0.871513, Time  0.276234
2021-09-16 00:11:24.438400 : Epoch  9, Batch    780, Loss  0.603033, Average Loss  0.600817, Time  0.235773
2021-09-16 00:11:25.964920 : Epoch  9, Batch    781, Loss  0.597768, Average Loss  0.600792, Time  0.236751
2021-09-16 00:11:27.046277 : Epoch  3, Batch   1786, Loss  0.868176, Average Loss  0.871467, Time  0.266514
2021-09-16 00:11:27.499400 : Epoch  9, Batch    782, Loss  0.599408, Average Loss  0.600774, Time  0.235879
2021-09-16 00:11:29.020889 : Epoch  9, Batch    783, Loss  0.598728, Average Loss  0.600848, Time  0.236202
2021-09-16 00:11:30.056988 : Epoch  3, Batch   1787, Loss  0.855290, Average Loss  0.871424, Time  0.266316
2021-09-16 00:11:30.556417 : Epoch  9, Batch    784, Loss  0.607983, Average Loss  0.600834, Time  0.236002
2021-09-16 00:11:32.081024 : Epoch  9, Batch    785, Loss  0.594609, Average Loss  0.600786, Time  0.236306
2021-09-16 00:11:33.072656 : Epoch  3, Batch   1788, Loss  0.899940, Average Loss  0.871591, Time  0.265772
2021-09-16 00:11:33.612851 : Epoch  9, Batch    786, Loss  0.605858, Average Loss  0.600787, Time  0.236406
2021-09-16 00:11:35.150031 : Epoch  9, Batch    787, Loss  0.610923, Average Loss  0.600895, Time  0.237250
2021-09-16 00:11:35.189562 : Saving Model after 9-th Epoch.
2021-09-16 00:11:36.039335 : Epoch Finished.
2021-09-16 00:11:38.350589 : Batch Shuffled
2021-09-16 00:11:39.877597 : Epoch 10, Batch      1, Loss  0.611969, Average Loss  0.600952, Time  0.236392
2021-09-16 00:11:41.405423 : Epoch 10, Batch      2, Loss  0.595600, Average Loss  0.600951, Time  0.236753
2021-09-16 00:11:42.938961 : Epoch 10, Batch      3, Loss  0.611490, Average Loss  0.601008, Time  0.237712
2021-09-16 00:11:44.469090 : Epoch 10, Batch      4, Loss  0.591225, Average Loss  0.600958, Time  0.237550
2021-09-16 00:11:46.000827 : Epoch 10, Batch      5, Loss  0.601927, Average Loss  0.600965, Time  0.238592
2021-09-16 00:11:47.535148 : Epoch 10, Batch      6, Loss  0.602677, Average Loss  0.600977, Time  0.237320
2021-09-16 00:11:49.068155 : Epoch 10, Batch      7, Loss  0.612676, Average Loss  0.601029, Time  0.237637
2021-09-16 00:11:50.596004 : Epoch 10, Batch      8, Loss  0.602832, Average Loss  0.601044, Time  0.236825
2021-09-16 00:11:52.134450 : Epoch 10, Batch      9, Loss  0.602188, Average Loss  0.601085, Time  0.236673
2021-09-16 00:11:53.669043 : Epoch 10, Batch     10, Loss  0.600547, Average Loss  0.601062, Time  0.236794
2021-09-16 00:11:55.205374 : Epoch 10, Batch     11, Loss  0.601683, Average Loss  0.601101, Time  0.237175
2021-09-16 00:11:56.738795 : Epoch 10, Batch     12, Loss  0.595513, Average Loss  0.601026, Time  0.237464
2021-09-16 00:11:58.277408 : Epoch 10, Batch     13, Loss  0.604225, Average Loss  0.601064, Time  0.237037
2021-09-16 00:11:59.815438 : Epoch 10, Batch     14, Loss  0.607028, Average Loss  0.601096, Time  0.236876
2021-09-16 00:12:01.346428 : Epoch 10, Batch     15, Loss  0.595595, Average Loss  0.601022, Time  0.236155
2021-09-16 00:12:02.888347 : Epoch 10, Batch     16, Loss  0.590784, Average Loss  0.601021, Time  0.236139
2021-09-16 00:12:04.424869 : Epoch 10, Batch     17, Loss  0.592524, Average Loss  0.600975, Time  0.238354
2021-09-16 00:13:01.476738 : CheckPoint: Validation Loss  0.00025013, Best Loss  0.00024058
2021-09-16 00:13:03.027935 : Epoch 10, Batch     18, Loss  0.605815, Average Loss  0.601031, Time  0.240904
2021-09-16 00:13:04.566352 : Epoch 10, Batch     19, Loss  0.598468, Average Loss  0.601015, Time  0.236207
2021-09-16 00:13:06.106933 : Epoch 10, Batch     20, Loss  0.603715, Average Loss  0.601000, Time  0.236180
2021-09-16 00:13:07.644553 : Epoch 10, Batch     21, Loss  0.602982, Average Loss  0.601019, Time  0.237499
2021-09-16 00:13:09.192154 : Epoch 10, Batch     22, Loss  0.599493, Average Loss  0.600924, Time  0.236779
2021-09-16 00:13:10.727055 : Epoch 10, Batch     23, Loss  0.596445, Average Loss  0.600897, Time  0.237088
2021-09-16 00:13:12.271853 : Epoch 10, Batch     24, Loss  0.607075, Average Loss  0.600957, Time  0.238584
2021-09-16 00:13:13.828286 : Epoch 10, Batch     25, Loss  0.597258, Average Loss  0.600965, Time  0.236569
2021-09-16 00:13:15.366106 : Epoch 10, Batch     26, Loss  0.605517, Average Loss  0.601008, Time  0.236269
2021-09-16 00:13:16.908411 : Epoch 10, Batch     27, Loss  0.609322, Average Loss  0.601083, Time  0.235736
2021-09-16 00:13:18.446961 : Epoch 10, Batch     28, Loss  0.599240, Average Loss  0.601077, Time  0.236976
2021-09-16 00:13:19.989108 : Epoch 10, Batch     29, Loss  0.606141, Average Loss  0.601098, Time  0.236804
2021-09-16 00:13:21.528164 : Epoch 10, Batch     30, Loss  0.602411, Average Loss  0.601076, Time  0.235927
2021-09-16 00:13:23.105893 : Epoch 10, Batch     31, Loss  0.594191, Average Loss  0.601048, Time  0.236613
2021-09-16 00:13:24.655014 : Epoch 10, Batch     32, Loss  0.599511, Average Loss  0.601071, Time  0.236177
2021-09-16 00:13:26.202138 : Epoch 10, Batch     33, Loss  0.602274, Average Loss  0.601013, Time  0.237589
2021-09-16 00:13:27.741063 : Epoch 10, Batch     34, Loss  0.601923, Average Loss  0.601068, Time  0.237597
2021-09-16 00:13:29.291443 : Epoch 10, Batch     35, Loss  0.617797, Average Loss  0.601179, Time  0.239528
2021-09-16 00:13:30.841899 : Epoch 10, Batch     36, Loss  0.609080, Average Loss  0.601172, Time  0.239041
2021-09-16 00:13:32.380312 : Epoch 10, Batch     37, Loss  0.588861, Average Loss  0.601163, Time  0.236291
2021-09-16 00:13:33.930002 : Epoch 10, Batch     38, Loss  0.593816, Average Loss  0.601111, Time  0.236295
2021-09-16 00:13:35.469420 : Epoch 10, Batch     39, Loss  0.604199, Average Loss  0.601079, Time  0.239457
2021-09-16 00:13:37.005555 : Epoch 10, Batch     40, Loss  0.594941, Average Loss  0.601043, Time  0.236522
2021-09-16 00:13:38.544598 : Epoch 10, Batch     41, Loss  0.596268, Average Loss  0.600996, Time  0.235759
2021-09-16 00:13:40.086601 : Epoch 10, Batch     42, Loss  0.587345, Average Loss  0.600884, Time  0.236189
2021-09-16 00:13:41.622995 : Epoch 10, Batch     43, Loss  0.607198, Average Loss  0.600899, Time  0.236284
2021-09-16 00:13:43.162415 : Epoch 10, Batch     44, Loss  0.616231, Average Loss  0.600970, Time  0.235567
2021-09-16 00:13:44.693316 : Epoch 10, Batch     45, Loss  0.608143, Average Loss  0.601017, Time  0.236264
2021-09-16 00:13:46.235954 : Epoch 10, Batch     46, Loss  0.600823, Average Loss  0.600948, Time  0.238511
2021-09-16 00:13:47.772148 : Epoch 10, Batch     47, Loss  0.597778, Average Loss  0.600972, Time  0.236774
2021-09-16 00:13:49.309844 : Epoch 10, Batch     48, Loss  0.597093, Average Loss  0.600970, Time  0.236521
2021-09-16 00:13:50.857910 : Epoch 10, Batch     49, Loss  0.595963, Average Loss  0.600887, Time  0.236542
2021-09-16 00:13:52.391981 : Epoch 10, Batch     50, Loss  0.597802, Average Loss  0.600807, Time  0.236893
2021-09-16 00:13:53.920286 : Epoch 10, Batch     51, Loss  0.602408, Average Loss  0.600810, Time  0.235938
2021-09-16 00:13:55.060298 : CheckPoint: Validation Loss  0.00030567, Best Loss  0.00030249
2021-09-16 00:13:55.462263 : Epoch 10, Batch     52, Loss  0.611650, Average Loss  0.600877, Time  0.236448
2021-09-16 00:13:56.992604 : Epoch 10, Batch     53, Loss  0.598184, Average Loss  0.600901, Time  0.236278
2021-09-16 00:13:57.687967 : Epoch  1, Batch    801, Loss  0.862877, Average Loss  0.890173, Time  0.271188
2021-09-16 00:13:58.525734 : Epoch 10, Batch     54, Loss  0.607764, Average Loss  0.600881, Time  0.236011
2021-09-16 00:14:00.061953 : Epoch 10, Batch     55, Loss  0.591611, Average Loss  0.600826, Time  0.237477
2021-09-16 00:14:00.301330 : Epoch  1, Batch    802, Loss  0.883035, Average Loss  0.890066, Time  0.255105
2021-09-16 00:14:01.603413 : Epoch 10, Batch     56, Loss  0.604187, Average Loss  0.600848, Time  0.235811
2021-09-16 00:14:02.885567 : Epoch  1, Batch    803, Loss  0.866016, Average Loss  0.889916, Time  0.239515
2021-09-16 00:14:03.142417 : Epoch 10, Batch     57, Loss  0.605693, Average Loss  0.600887, Time  0.235917
2021-09-16 00:14:04.683282 : Epoch 10, Batch     58, Loss  0.604657, Average Loss  0.600920, Time  0.236376
2021-09-16 00:14:05.478082 : Epoch  1, Batch    804, Loss  0.879195, Average Loss  0.889852, Time  0.241287
2021-09-16 00:14:06.237808 : Epoch 10, Batch     59, Loss  0.590682, Average Loss  0.600879, Time  0.236246
2021-09-16 00:14:07.793922 : Epoch 10, Batch     60, Loss  0.588931, Average Loss  0.600837, Time  0.236346
2021-09-16 00:14:08.077815 : Epoch  1, Batch    805, Loss  0.890639, Average Loss  0.889875, Time  0.242490
2021-09-16 00:14:09.346084 : Epoch 10, Batch     61, Loss  0.591909, Average Loss  0.600879, Time  0.236511
2021-09-16 00:14:10.671398 : Epoch  1, Batch    806, Loss  0.883629, Average Loss  0.889764, Time  0.239991
2021-09-16 00:14:10.882850 : Epoch 10, Batch     62, Loss  0.603743, Average Loss  0.600913, Time  0.236638
2021-09-16 00:14:12.423368 : Epoch 10, Batch     63, Loss  0.605761, Average Loss  0.600941, Time  0.237612
2021-09-16 00:14:13.263957 : Epoch  1, Batch    807, Loss  0.873485, Average Loss  0.889618, Time  0.239942
2021-09-16 00:14:13.962641 : Epoch 10, Batch     64, Loss  0.591094, Average Loss  0.600813, Time  0.237592
2021-09-16 00:14:15.506455 : Epoch 10, Batch     65, Loss  0.583484, Average Loss  0.600732, Time  0.236803
2021-09-16 00:14:15.858873 : Epoch  1, Batch    808, Loss  0.887819, Average Loss  0.889626, Time  0.240180
2021-09-16 00:14:17.040838 : Epoch 10, Batch     66, Loss  0.603718, Average Loss  0.600735, Time  0.237233
2021-09-16 00:14:18.439025 : Epoch  1, Batch    809, Loss  0.858944, Average Loss  0.889431, Time  0.239972
2021-09-16 00:14:18.583012 : Epoch 10, Batch     67, Loss  0.607585, Average Loss  0.600824, Time  0.237613
2021-09-16 00:14:20.116098 : Epoch 10, Batch     68, Loss  0.612773, Average Loss  0.600888, Time  0.236102
2021-09-16 00:14:21.055399 : Epoch  1, Batch    810, Loss  0.882361, Average Loss  0.889390, Time  0.240326
2021-09-16 00:14:21.658623 : Epoch 10, Batch     69, Loss  0.591459, Average Loss  0.600883, Time  0.235951
2021-09-16 00:14:23.199068 : Epoch 10, Batch     70, Loss  0.593117, Average Loss  0.600877, Time  0.237247
2021-09-16 00:14:23.649865 : Epoch  1, Batch    811, Loss  0.884280, Average Loss  0.889307, Time  0.240091
2021-09-16 00:14:24.733577 : Epoch 10, Batch     71, Loss  0.607280, Average Loss  0.600885, Time  0.237781
2021-09-16 00:14:26.232405 : Epoch  1, Batch    812, Loss  0.880277, Average Loss  0.889294, Time  0.241148
2021-09-16 00:14:26.290243 : Epoch 10, Batch     72, Loss  0.598487, Average Loss  0.600863, Time  0.236166
2021-09-16 00:14:27.830414 : Epoch 10, Batch     73, Loss  0.604917, Average Loss  0.600937, Time  0.235693
2021-09-16 00:14:28.820900 : Epoch  1, Batch    813, Loss  0.864293, Average Loss  0.889181, Time  0.240104
2021-09-16 00:14:29.367457 : Epoch 10, Batch     74, Loss  0.604293, Average Loss  0.600873, Time  0.237444
2021-09-16 00:14:30.917462 : Epoch 10, Batch     75, Loss  0.606886, Average Loss  0.600872, Time  0.236676
2021-09-16 00:14:31.411709 : Epoch  1, Batch    814, Loss  0.876907, Average Loss  0.889110, Time  0.241040
2021-09-16 00:14:32.448934 : Epoch 10, Batch     76, Loss  0.592456, Average Loss  0.600783, Time  0.235868
2021-09-16 00:14:33.987165 : Epoch 10, Batch     77, Loss  0.603823, Average Loss  0.600791, Time  0.238515
2021-09-16 00:14:33.987197 : Epoch  1, Batch    815, Loss  0.891366, Average Loss  0.889131, Time  0.241112
2021-09-16 00:14:35.532078 : Epoch 10, Batch     78, Loss  0.607498, Average Loss  0.600870, Time  0.238376
2021-09-16 00:14:36.621008 : Epoch  1, Batch    816, Loss  0.902840, Average Loss  0.889179, Time  0.240477
2021-09-16 00:14:37.058387 : Epoch 10, Batch     79, Loss  0.594945, Average Loss  0.600853, Time  0.236275
2021-09-16 00:14:38.588298 : Epoch 10, Batch     80, Loss  0.608173, Average Loss  0.600904, Time  0.236340
2021-09-16 00:14:39.224001 : Epoch  1, Batch    817, Loss  0.909261, Average Loss  0.889230, Time  0.240597
2021-09-16 00:14:40.128398 : Epoch 10, Batch     81, Loss  0.611915, Average Loss  0.600930, Time  0.235777
2021-09-16 00:14:41.665787 : Epoch 10, Batch     82, Loss  0.601902, Average Loss  0.600895, Time  0.235884
2021-09-16 00:14:41.825587 : Epoch  1, Batch    818, Loss  0.884779, Average Loss  0.889157, Time  0.244479
2021-09-16 00:14:43.209933 : Epoch 10, Batch     83, Loss  0.610183, Average Loss  0.600951, Time  0.236339
2021-09-16 00:14:44.407990 : Epoch  1, Batch    819, Loss  0.874243, Average Loss  0.889024, Time  0.240303
2021-09-16 00:14:44.748113 : Epoch 10, Batch     84, Loss  0.606853, Average Loss  0.601017, Time  0.236068
2021-09-16 00:14:46.295422 : Epoch 10, Batch     85, Loss  0.596478, Average Loss  0.600936, Time  0.237830
2021-09-16 00:14:46.998995 : Epoch  1, Batch    820, Loss  0.885206, Average Loss  0.888854, Time  0.240865
2021-09-16 00:14:47.823393 : Epoch 10, Batch     86, Loss  0.588748, Average Loss  0.600795, Time  0.236010
2021-09-16 00:14:49.346173 : Epoch 10, Batch     87, Loss  0.599126, Average Loss  0.600763, Time  0.236146
2021-09-16 00:14:49.591324 : Epoch  1, Batch    821, Loss  0.909241, Average Loss  0.888915, Time  0.240153
2021-09-16 00:14:52.172713 : Epoch  1, Batch    822, Loss  0.887039, Average Loss  0.888926, Time  0.240144
2021-09-16 00:14:53.173072 : Epoch 10, Batch     88, Loss  0.599062, Average Loss  0.600740, Time  0.269337
2021-09-16 00:14:54.713136 : Epoch 10, Batch     89, Loss  0.593823, Average Loss  0.600722, Time  0.240164
2021-09-16 00:14:54.768683 : Epoch  1, Batch    823, Loss  0.887468, Average Loss  0.888705, Time  0.242192
2021-09-16 00:14:56.240392 : Epoch 10, Batch     90, Loss  0.604564, Average Loss  0.600740, Time  0.236013
2021-09-16 00:14:57.357005 : Epoch  1, Batch    824, Loss  0.880403, Average Loss  0.888562, Time  0.240031
2021-09-16 00:14:57.772689 : Epoch 10, Batch     91, Loss  0.598841, Average Loss  0.600734, Time  0.236101
2021-09-16 00:14:59.309964 : Epoch 10, Batch     92, Loss  0.591207, Average Loss  0.600673, Time  0.236441
2021-09-16 00:14:59.955069 : Epoch  1, Batch    825, Loss  0.897530, Average Loss  0.888623, Time  0.240157
2021-09-16 00:15:00.839305 : Epoch 10, Batch     93, Loss  0.611164, Average Loss  0.600688, Time  0.236061
2021-09-16 00:15:02.383143 : Epoch 10, Batch     94, Loss  0.590529, Average Loss  0.600595, Time  0.236065
2021-09-16 00:15:02.545064 : Epoch  1, Batch    826, Loss  0.881827, Average Loss  0.888563, Time  0.239930
2021-09-16 00:15:03.915411 : Epoch 10, Batch     95, Loss  0.614764, Average Loss  0.600636, Time  0.236067
2021-09-16 00:15:05.136429 : Epoch  1, Batch    827, Loss  0.866712, Average Loss  0.888394, Time  0.242626
2021-09-16 00:15:05.446131 : Epoch 10, Batch     96, Loss  0.600954, Average Loss  0.600673, Time  0.235827
2021-09-16 00:15:06.968714 : Epoch 10, Batch     97, Loss  0.594456, Average Loss  0.600640, Time  0.238019
2021-09-16 00:15:07.738799 : Epoch  1, Batch    828, Loss  0.883840, Average Loss  0.888364, Time  0.240833
2021-09-16 00:15:08.505225 : Epoch 10, Batch     98, Loss  0.622232, Average Loss  0.600774, Time  0.235685
2021-09-16 00:15:10.046680 : Epoch 10, Batch     99, Loss  0.611006, Average Loss  0.600808, Time  0.235785
2021-09-16 00:15:10.332527 : Epoch  1, Batch    829, Loss  0.874903, Average Loss  0.888286, Time  0.240030
2021-09-16 00:15:11.580428 : Epoch 10, Batch    100, Loss  0.590827, Average Loss  0.600829, Time  0.236152
2021-09-16 00:15:12.918172 : Epoch  1, Batch    830, Loss  0.864864, Average Loss  0.888244, Time  0.240163
2021-09-16 00:15:13.124357 : Epoch 10, Batch    101, Loss  0.586463, Average Loss  0.600799, Time  0.236127
2021-09-16 00:15:14.658719 : Epoch 10, Batch    102, Loss  0.590175, Average Loss  0.600737, Time  0.236018
2021-09-16 00:15:15.516990 : Epoch  1, Batch    831, Loss  0.880792, Average Loss  0.888189, Time  0.241103
2021-09-16 00:15:16.202034 : Epoch 10, Batch    103, Loss  0.607875, Average Loss  0.600732, Time  0.235931
2021-09-16 00:15:17.811880 : Epoch 10, Batch    104, Loss  0.604107, Average Loss  0.600763, Time  0.256087
2021-09-16 00:15:18.110376 : Epoch  1, Batch    832, Loss  0.877936, Average Loss  0.888060, Time  0.239891
2021-09-16 00:15:19.473363 : Epoch 10, Batch    105, Loss  0.599809, Average Loss  0.600739, Time  0.258082
2021-09-16 00:15:20.690447 : Epoch  1, Batch    833, Loss  0.868024, Average Loss  0.887945, Time  0.239928
2021-09-16 00:15:21.036025 : Epoch 10, Batch    106, Loss  0.607936, Average Loss  0.600782, Time  0.238840
2021-09-16 00:15:22.585699 : Epoch 10, Batch    107, Loss  0.601852, Average Loss  0.600755, Time  0.239449
2021-09-16 00:15:23.290377 : Epoch  1, Batch    834, Loss  0.896781, Average Loss  0.887937, Time  0.241167
2021-09-16 00:15:24.140296 : Epoch 10, Batch    108, Loss  0.599651, Average Loss  0.600752, Time  0.238255
2021-09-16 00:15:25.680015 : Epoch 10, Batch    109, Loss  0.593061, Average Loss  0.600729, Time  0.236296
2021-09-16 00:15:25.885887 : Epoch  1, Batch    835, Loss  0.879417, Average Loss  0.887823, Time  0.241726
2021-09-16 00:15:27.239042 : Epoch 10, Batch    110, Loss  0.600304, Average Loss  0.600735, Time  0.236787
2021-09-16 00:15:28.482234 : Epoch  1, Batch    836, Loss  0.878604, Average Loss  0.887771, Time  0.241333
2021-09-16 00:15:28.790707 : Epoch 10, Batch    111, Loss  0.609000, Average Loss  0.600737, Time  0.237519
2021-09-16 00:15:30.329288 : Epoch 10, Batch    112, Loss  0.607674, Average Loss  0.600746, Time  0.237844
2021-09-16 00:15:31.076266 : Epoch  1, Batch    837, Loss  0.887343, Average Loss  0.887734, Time  0.241455
2021-09-16 00:15:31.866080 : Epoch 10, Batch    113, Loss  0.611148, Average Loss  0.600821, Time  0.237362
2021-09-16 00:15:33.406133 : Epoch 10, Batch    114, Loss  0.590106, Average Loss  0.600813, Time  0.236156
2021-09-16 00:15:33.671847 : Epoch  1, Batch    838, Loss  0.880549, Average Loss  0.887741, Time  0.242560
2021-09-16 00:15:34.944213 : Epoch 10, Batch    115, Loss  0.612456, Average Loss  0.600907, Time  0.236157
2021-09-16 00:15:36.251133 : Epoch  1, Batch    839, Loss  0.868329, Average Loss  0.887650, Time  0.240125
2021-09-16 00:15:36.488457 : Epoch 10, Batch    116, Loss  0.617208, Average Loss  0.600989, Time  0.236726
2021-09-16 00:15:38.029773 : Epoch 10, Batch    117, Loss  0.601790, Average Loss  0.600981, Time  0.236208
2021-09-16 00:15:38.847162 : Epoch  1, Batch    840, Loss  0.899092, Average Loss  0.887635, Time  0.240675
2021-09-16 00:15:41.442129 : Epoch  1, Batch    841, Loss  0.888825, Average Loss  0.887696, Time  0.241160
2021-09-16 00:15:44.033981 : Epoch  1, Batch    842, Loss  0.889507, Average Loss  0.887706, Time  0.240074
2021-09-16 00:15:46.627424 : Epoch  1, Batch    843, Loss  0.866719, Average Loss  0.887531, Time  0.239901
2021-09-16 00:15:49.221415 : Epoch  1, Batch    844, Loss  0.876492, Average Loss  0.887432, Time  0.240017
2021-09-16 00:15:51.823400 : Epoch  1, Batch    845, Loss  0.901740, Average Loss  0.887472, Time  0.240568
2021-09-16 00:15:54.411936 : Epoch  1, Batch    846, Loss  0.869841, Average Loss  0.887383, Time  0.241159
2021-09-16 00:15:57.003123 : Epoch  1, Batch    847, Loss  0.883744, Average Loss  0.887340, Time  0.243556
2021-09-16 00:15:59.595429 : Epoch  1, Batch    848, Loss  0.892553, Average Loss  0.887288, Time  0.239909
2021-09-16 00:16:02.178841 : Epoch  1, Batch    849, Loss  0.866985, Average Loss  0.887263, Time  0.240173
2021-09-16 00:16:04.772168 : Epoch  1, Batch    850, Loss  0.878995, Average Loss  0.887168, Time  0.240177
2021-09-16 00:16:07.366858 : Epoch  1, Batch    851, Loss  0.885790, Average Loss  0.887225, Time  0.240432
2021-09-16 00:16:09.963408 : Epoch  1, Batch    852, Loss  0.883035, Average Loss  0.887095, Time  0.241165
2021-09-16 00:16:11.627647 : CheckPoint: Validation Loss  0.00030700, Best Loss  0.00029379
2021-09-16 00:16:12.559156 : Epoch  1, Batch    853, Loss  0.881651, Average Loss  0.887039, Time  0.240104
2021-09-16 00:16:14.615989 : Epoch  3, Batch   1789, Loss  0.869005, Average Loss  0.871699, Time  0.267511
2021-09-16 00:16:15.147060 : Epoch  1, Batch    854, Loss  0.900153, Average Loss  0.887069, Time  0.241894
2021-09-16 00:16:17.593715 : Epoch  3, Batch   1790, Loss  0.862263, Average Loss  0.871772, Time  0.265528
2021-09-16 00:16:17.740686 : Epoch  1, Batch    855, Loss  0.892253, Average Loss  0.886968, Time  0.240011
2021-09-16 00:16:20.327176 : Epoch  1, Batch    856, Loss  0.850500, Average Loss  0.886666, Time  0.240414
2021-09-16 00:16:20.602671 : Epoch  3, Batch   1791, Loss  0.860814, Average Loss  0.871732, Time  0.266381
2021-09-16 00:16:22.919244 : Epoch  1, Batch    857, Loss  0.872121, Average Loss  0.886539, Time  0.240598
2021-09-16 00:16:23.614618 : Epoch  3, Batch   1792, Loss  0.856786, Average Loss  0.871660, Time  0.266154
2021-09-16 00:16:25.515525 : Epoch  1, Batch    858, Loss  0.879506, Average Loss  0.886352, Time  0.241173
2021-09-16 00:16:26.597249 : Epoch  3, Batch   1793, Loss  0.875951, Average Loss  0.871725, Time  0.267123
2021-09-16 00:16:28.106739 : Epoch  1, Batch    859, Loss  0.881392, Average Loss  0.886205, Time  0.242499
2021-09-16 00:16:29.615840 : Epoch  3, Batch   1794, Loss  0.861122, Average Loss  0.871701, Time  0.266015
2021-09-16 00:16:30.700985 : Epoch  1, Batch    860, Loss  0.890176, Average Loss  0.886089, Time  0.240940
2021-09-16 00:16:32.613497 : Epoch  3, Batch   1795, Loss  0.889760, Average Loss  0.871851, Time  0.266823
2021-09-16 00:16:33.292332 : Epoch  1, Batch    861, Loss  0.881287, Average Loss  0.886103, Time  0.240743
2021-09-16 00:16:35.533730 : CheckPoint: Validation Loss  0.00024925, Best Loss  0.00024058
2021-09-16 00:16:35.591652 : Epoch  3, Batch   1796, Loss  0.879706, Average Loss  0.871905, Time  0.265859
2021-09-16 00:16:35.890215 : Epoch  1, Batch    862, Loss  0.898216, Average Loss  0.886151, Time  0.241508
2021-09-16 00:16:37.067088 : Epoch 10, Batch    118, Loss  0.590687, Average Loss  0.600971, Time  0.237605
2021-09-16 00:16:38.472706 : Epoch  1, Batch    863, Loss  0.912663, Average Loss  0.886312, Time  0.241014
2021-09-16 00:16:38.592397 : Epoch  3, Batch   1797, Loss  0.864419, Average Loss  0.871836, Time  0.265804
2021-09-16 00:16:38.611330 : Epoch 10, Batch    119, Loss  0.608131, Average Loss  0.601022, Time  0.237526
2021-09-16 00:16:40.162751 : Epoch 10, Batch    120, Loss  0.595607, Average Loss  0.600998, Time  0.236492
2021-09-16 00:16:41.068306 : Epoch  1, Batch    864, Loss  0.888539, Average Loss  0.886272, Time  0.240603
2021-09-16 00:16:41.605896 : Epoch  3, Batch   1798, Loss  0.889579, Average Loss  0.871919, Time  0.266196
2021-09-16 00:16:41.702840 : Epoch 10, Batch    121, Loss  0.599271, Average Loss  0.600968, Time  0.236216
2021-09-16 00:16:43.244509 : Epoch 10, Batch    122, Loss  0.602608, Average Loss  0.600986, Time  0.235828
2021-09-16 00:16:43.657089 : Epoch  1, Batch    865, Loss  0.884876, Average Loss  0.886379, Time  0.241399
2021-09-16 00:16:44.630500 : Epoch  3, Batch   1799, Loss  0.852707, Average Loss  0.871854, Time  0.273711
2021-09-16 00:16:44.795758 : Epoch 10, Batch    123, Loss  0.596844, Average Loss  0.600923, Time  0.236694
2021-09-16 00:16:46.264367 : Epoch  1, Batch    866, Loss  0.869173, Average Loss  0.886244, Time  0.241039
2021-09-16 00:16:46.325961 : Epoch 10, Batch    124, Loss  0.600959, Average Loss  0.600886, Time  0.236870
2021-09-16 00:16:47.617101 : Epoch  3, Batch   1800, Loss  0.876226, Average Loss  0.871870, Time  0.267056
2021-09-16 00:16:47.874018 : Epoch 10, Batch    125, Loss  0.593154, Average Loss  0.600924, Time  0.236125
2021-09-16 00:16:48.867881 : Epoch  1, Batch    867, Loss  0.900394, Average Loss  0.886311, Time  0.241153
2021-09-16 00:16:49.406485 : Epoch 10, Batch    126, Loss  0.605556, Average Loss  0.600940, Time  0.236404
2021-09-16 00:16:50.521657 : Epoch  3, Batch   1801, Loss  0.877478, Average Loss  0.872037, Time  0.268185
2021-09-16 00:16:50.947995 : Epoch 10, Batch    127, Loss  0.609778, Average Loss  0.600955, Time  0.237846
2021-09-16 00:16:51.465041 : Epoch  1, Batch    868, Loss  0.868934, Average Loss  0.886239, Time  0.243804
2021-09-16 00:16:52.485393 : Epoch 10, Batch    128, Loss  0.616101, Average Loss  0.601016, Time  0.237146
2021-09-16 00:16:53.508739 : Epoch  3, Batch   1802, Loss  0.899267, Average Loss  0.872350, Time  0.269730
2021-09-16 00:16:54.019183 : Epoch 10, Batch    129, Loss  0.605736, Average Loss  0.600996, Time  0.236584
2021-09-16 00:16:54.081808 : Epoch  1, Batch    869, Loss  0.878858, Average Loss  0.886233, Time  0.240670
2021-09-16 00:16:55.554878 : Epoch 10, Batch    130, Loss  0.604309, Average Loss  0.600970, Time  0.237442
2021-09-16 00:16:56.500529 : Epoch  3, Batch   1803, Loss  0.890873, Average Loss  0.872458, Time  0.267633
2021-09-16 00:16:56.680903 : Epoch  1, Batch    870, Loss  0.886048, Average Loss  0.886211, Time  0.240659
2021-09-16 00:16:57.092414 : Epoch 10, Batch    131, Loss  0.596235, Average Loss  0.600963, Time  0.236070
2021-09-16 00:16:58.627425 : Epoch 10, Batch    132, Loss  0.590417, Average Loss  0.600865, Time  0.235833
2021-09-16 00:16:59.266533 : Epoch  1, Batch    871, Loss  0.880455, Average Loss  0.886172, Time  0.240270
2021-09-16 00:16:59.507776 : Epoch  3, Batch   1804, Loss  0.876988, Average Loss  0.872380, Time  0.267181
2021-09-16 00:17:00.176057 : Epoch 10, Batch    133, Loss  0.607061, Average Loss  0.600918, Time  0.236278
2021-09-16 00:17:01.727413 : Epoch 10, Batch    134, Loss  0.598341, Average Loss  0.601004, Time  0.236205
2021-09-16 00:17:01.853863 : Epoch  1, Batch    872, Loss  0.880614, Average Loss  0.886144, Time  0.240385
2021-09-16 00:17:02.533962 : Epoch  3, Batch   1805, Loss  0.883086, Average Loss  0.872447, Time  0.267007
2021-09-16 00:17:03.261418 : Epoch 10, Batch    135, Loss  0.603388, Average Loss  0.601032, Time  0.236663
2021-09-16 00:17:04.437204 : Epoch  1, Batch    873, Loss  0.880893, Average Loss  0.886046, Time  0.239971
2021-09-16 00:17:04.805375 : Epoch 10, Batch    136, Loss  0.608593, Average Loss  0.601084, Time  0.236384
2021-09-16 00:17:05.533161 : Epoch  3, Batch   1806, Loss  0.884130, Average Loss  0.872591, Time  0.266095
2021-09-16 00:17:06.342616 : Epoch 10, Batch    137, Loss  0.600482, Average Loss  0.601128, Time  0.237262
2021-09-16 00:17:07.024880 : Epoch  1, Batch    874, Loss  0.876779, Average Loss  0.885920, Time  0.240928
2021-09-16 00:17:07.882419 : Epoch 10, Batch    138, Loss  0.601481, Average Loss  0.601101, Time  0.235993
2021-09-16 00:17:08.502896 : Epoch  3, Batch   1807, Loss  0.857062, Average Loss  0.872503, Time  0.265013
2021-09-16 00:17:09.422390 : Epoch 10, Batch    139, Loss  0.595359, Average Loss  0.601051, Time  0.236128
2021-09-16 00:17:09.621333 : Epoch  1, Batch    875, Loss  0.903694, Average Loss  0.885978, Time  0.240030
2021-09-16 00:17:10.974887 : Epoch 10, Batch    140, Loss  0.607844, Average Loss  0.601092, Time  0.236097
2021-09-16 00:17:11.481453 : Epoch  3, Batch   1808, Loss  0.861435, Average Loss  0.872595, Time  0.265470
2021-09-16 00:17:12.215481 : Epoch  1, Batch    876, Loss  0.910800, Average Loss  0.886115, Time  0.240571
2021-09-16 00:17:12.514596 : Epoch 10, Batch    141, Loss  0.605415, Average Loss  0.601094, Time  0.236471
2021-09-16 00:17:14.046820 : Epoch 10, Batch    142, Loss  0.592267, Average Loss  0.601096, Time  0.236419
2021-09-16 00:17:14.460391 : Epoch  3, Batch   1809, Loss  0.868432, Average Loss  0.872597, Time  0.265470
2021-09-16 00:17:14.801858 : Epoch  1, Batch    877, Loss  0.892802, Average Loss  0.886144, Time  0.240285
2021-09-16 00:17:15.582870 : Epoch 10, Batch    143, Loss  0.595558, Average Loss  0.601103, Time  0.236866
2021-09-16 00:17:17.123488 : Epoch 10, Batch    144, Loss  0.598020, Average Loss  0.601130, Time  0.236331
2021-09-16 00:17:17.392033 : Epoch  1, Batch    878, Loss  0.865961, Average Loss  0.885928, Time  0.240799
2021-09-16 00:17:17.438673 : Epoch  3, Batch   1810, Loss  0.878237, Average Loss  0.872582, Time  0.265724
2021-09-16 00:17:18.671395 : Epoch 10, Batch    145, Loss  0.606870, Average Loss  0.601143, Time  0.236188
2021-09-16 00:17:19.978965 : Epoch  1, Batch    879, Loss  0.879547, Average Loss  0.885819, Time  0.240133
2021-09-16 00:17:20.212151 : Epoch 10, Batch    146, Loss  0.598608, Average Loss  0.601137, Time  0.238235
2021-09-16 00:17:20.426116 : Epoch  3, Batch   1811, Loss  0.869852, Average Loss  0.872539, Time  0.266579
2021-09-16 00:17:21.747686 : Epoch 10, Batch    147, Loss  0.583084, Average Loss  0.601047, Time  0.236737
2021-09-16 00:17:22.577862 : Epoch  1, Batch    880, Loss  0.886699, Average Loss  0.885896, Time  0.240156
2021-09-16 00:17:23.294970 : Epoch 10, Batch    148, Loss  0.609216, Average Loss  0.601146, Time  0.238107
2021-09-16 00:17:23.396509 : Epoch  3, Batch   1812, Loss  0.866544, Average Loss  0.872483, Time  0.267026
2021-09-16 00:17:24.843396 : Epoch 10, Batch    149, Loss  0.599296, Average Loss  0.601129, Time  0.235634
2021-09-16 00:17:25.175237 : Epoch  1, Batch    881, Loss  0.890423, Average Loss  0.885928, Time  0.241044
2021-09-16 00:17:26.367772 : Epoch  3, Batch   1813, Loss  0.870278, Average Loss  0.872531, Time  0.265969
2021-09-16 00:17:26.383005 : Epoch 10, Batch    150, Loss  0.601101, Average Loss  0.601135, Time  0.235628
2021-09-16 00:17:27.759987 : Epoch  1, Batch    882, Loss  0.861386, Average Loss  0.885599, Time  0.239982
2021-09-16 00:17:27.950104 : Epoch 10, Batch    151, Loss  0.595800, Average Loss  0.601137, Time  0.235979
2021-09-16 00:17:29.384412 : Epoch  3, Batch   1814, Loss  0.865564, Average Loss  0.872570, Time  0.277265
2021-09-16 00:17:29.489595 : Epoch 10, Batch    152, Loss  0.607849, Average Loss  0.601211, Time  0.235828
2021-09-16 00:17:30.352880 : Epoch  1, Batch    883, Loss  0.876087, Average Loss  0.885535, Time  0.240870
2021-09-16 00:17:31.027148 : Epoch 10, Batch    153, Loss  0.608344, Average Loss  0.601231, Time  0.236122
2021-09-16 00:17:32.407558 : Epoch  3, Batch   1815, Loss  0.886561, Average Loss  0.872688, Time  0.265389
2021-09-16 00:17:32.565425 : Epoch 10, Batch    154, Loss  0.593073, Average Loss  0.601139, Time  0.236284
2021-09-16 00:17:32.939457 : Epoch  1, Batch    884, Loss  0.890945, Average Loss  0.885481, Time  0.240844
2021-09-16 00:17:34.091404 : Epoch 10, Batch    155, Loss  0.594834, Average Loss  0.601066, Time  0.235557
2021-09-16 00:17:35.384941 : Epoch  3, Batch   1816, Loss  0.881964, Average Loss  0.872662, Time  0.265221
2021-09-16 00:17:35.529861 : Epoch  1, Batch    885, Loss  0.888356, Average Loss  0.885378, Time  0.239980
2021-09-16 00:17:35.637394 : Epoch 10, Batch    156, Loss  0.605644, Average Loss  0.601109, Time  0.237828
2021-09-16 00:17:37.164204 : Epoch 10, Batch    157, Loss  0.604600, Average Loss  0.601122, Time  0.236005
2021-09-16 00:17:38.115900 : Epoch  1, Batch    886, Loss  0.887466, Average Loss  0.885387, Time  0.241514
2021-09-16 00:17:38.358189 : Epoch  3, Batch   1817, Loss  0.897103, Average Loss  0.872803, Time  0.265597
2021-09-16 00:17:38.703684 : Epoch 10, Batch    158, Loss  0.597143, Average Loss  0.601096, Time  0.235778
2021-09-16 00:17:40.238570 : Epoch 10, Batch    159, Loss  0.593424, Average Loss  0.601072, Time  0.236483
2021-09-16 00:17:40.717491 : Epoch  1, Batch    887, Loss  0.881411, Average Loss  0.885401, Time  0.240446
2021-09-16 00:17:41.333438 : Epoch  3, Batch   1818, Loss  0.886377, Average Loss  0.872877, Time  0.266020
2021-09-16 00:17:41.782089 : Epoch 10, Batch    160, Loss  0.602705, Average Loss  0.601039, Time  0.236594
2021-09-16 00:17:43.305147 : Epoch  1, Batch    888, Loss  0.869066, Average Loss  0.885229, Time  0.240659
2021-09-16 00:17:43.340407 : Epoch 10, Batch    161, Loss  0.609586, Average Loss  0.601106, Time  0.236947
2021-09-16 00:17:44.317198 : Epoch  3, Batch   1819, Loss  0.862484, Average Loss  0.872804, Time  0.266479
2021-09-16 00:17:44.878334 : Epoch 10, Batch    162, Loss  0.599572, Average Loss  0.601078, Time  0.236721
2021-09-16 00:17:45.905606 : Epoch  1, Batch    889, Loss  0.888664, Average Loss  0.885115, Time  0.241155
2021-09-16 00:17:46.422846 : Epoch 10, Batch    163, Loss  0.606895, Average Loss  0.601095, Time  0.237316
2021-09-16 00:17:47.306121 : Epoch  3, Batch   1820, Loss  0.866526, Average Loss  0.872728, Time  0.264940
2021-09-16 00:17:47.967955 : Epoch 10, Batch    164, Loss  0.613483, Average Loss  0.601159, Time  0.236370
2021-09-16 00:17:48.523924 : Epoch  1, Batch    890, Loss  0.870382, Average Loss  0.885027, Time  0.240289
2021-09-16 00:17:49.504181 : Epoch 10, Batch    165, Loss  0.610392, Average Loss  0.601180, Time  0.239421
2021-09-16 00:17:50.317110 : Epoch  3, Batch   1821, Loss  0.876280, Average Loss  0.872713, Time  0.266112
2021-09-16 00:17:51.038579 : Epoch 10, Batch    166, Loss  0.598487, Average Loss  0.601152, Time  0.236573
2021-09-16 00:17:51.120412 : Epoch  1, Batch    891, Loss  0.884128, Average Loss  0.884966, Time  0.242240
2021-09-16 00:17:52.571307 : Epoch 10, Batch    167, Loss  0.599018, Average Loss  0.601109, Time  0.236042
2021-09-16 00:17:53.288940 : Epoch  3, Batch   1822, Loss  0.857863, Average Loss  0.872624, Time  0.265450
2021-09-16 00:17:53.707806 : Epoch  1, Batch    892, Loss  0.869831, Average Loss  0.884942, Time  0.241772
2021-09-16 00:17:54.107292 : Epoch 10, Batch    168, Loss  0.612338, Average Loss  0.601162, Time  0.236923
2021-09-16 00:17:55.628927 : Epoch 10, Batch    169, Loss  0.602611, Average Loss  0.601209, Time  0.236217
2021-09-16 00:17:56.276061 : Epoch  3, Batch   1823, Loss  0.870611, Average Loss  0.872724, Time  0.266048
2021-09-16 00:17:56.289823 : Epoch  1, Batch    893, Loss  0.891957, Average Loss  0.884893, Time  0.240529
2021-09-16 00:17:57.167269 : Epoch 10, Batch    170, Loss  0.596658, Average Loss  0.601242, Time  0.236290
2021-09-16 00:17:58.700846 : Epoch 10, Batch    171, Loss  0.608192, Average Loss  0.601320, Time  0.235906
2021-09-16 00:17:58.882679 : Epoch  1, Batch    894, Loss  0.880736, Average Loss  0.884964, Time  0.241111
2021-09-16 00:17:59.155632 : Epoch  3, Batch   1824, Loss  0.881646, Average Loss  0.872747, Time  0.266203
2021-09-16 00:18:00.235696 : Epoch 10, Batch    172, Loss  0.601750, Average Loss  0.601368, Time  0.235868
2021-09-16 00:18:01.460767 : Epoch  1, Batch    895, Loss  0.903729, Average Loss  0.885079, Time  0.240509
2021-09-16 00:18:01.770425 : Epoch 10, Batch    173, Loss  0.608499, Average Loss  0.601377, Time  0.236113
2021-09-16 00:18:02.138276 : Epoch  3, Batch   1825, Loss  0.874010, Average Loss  0.872773, Time  0.265465
2021-09-16 00:18:03.293861 : Epoch 10, Batch    174, Loss  0.610756, Average Loss  0.601430, Time  0.235916
2021-09-16 00:18:04.044436 : Epoch  1, Batch    896, Loss  0.905151, Average Loss  0.885137, Time  0.239968
2021-09-16 00:18:04.825129 : Epoch 10, Batch    175, Loss  0.605949, Average Loss  0.601471, Time  0.235973
2021-09-16 00:18:05.106434 : Epoch  3, Batch   1826, Loss  0.867720, Average Loss  0.872854, Time  0.266319
2021-09-16 00:18:06.362398 : Epoch 10, Batch    176, Loss  0.595338, Average Loss  0.601479, Time  0.236477
2021-09-16 00:18:06.634401 : Epoch  1, Batch    897, Loss  0.894928, Average Loss  0.884983, Time  0.240626
2021-09-16 00:18:07.893262 : Epoch 10, Batch    177, Loss  0.602089, Average Loss  0.601543, Time  0.235541
2021-09-16 00:18:08.068998 : Epoch  3, Batch   1827, Loss  0.865132, Average Loss  0.872904, Time  0.265552
2021-09-16 00:18:09.214870 : Epoch  1, Batch    898, Loss  0.884216, Average Loss  0.884868, Time  0.240303
2021-09-16 00:18:09.430012 : Epoch 10, Batch    178, Loss  0.589363, Average Loss  0.601384, Time  0.236846
2021-09-16 00:18:10.958597 : Epoch 10, Batch    179, Loss  0.599394, Average Loss  0.601370, Time  0.235872
2021-09-16 00:18:11.042472 : Epoch  3, Batch   1828, Loss  0.843770, Average Loss  0.872867, Time  0.266024
2021-09-16 00:18:11.816076 : Epoch  1, Batch    899, Loss  0.890551, Average Loss  0.884810, Time  0.240202
2021-09-16 00:18:12.491281 : Epoch 10, Batch    180, Loss  0.607584, Average Loss  0.601450, Time  0.235805
2021-09-16 00:18:14.030622 : Epoch 10, Batch    181, Loss  0.601928, Average Loss  0.601433, Time  0.236885
2021-09-16 00:18:14.416405 : Epoch  1, Batch    900, Loss  0.871486, Average Loss  0.884665, Time  0.240258
2021-09-16 00:18:15.582804 : Epoch 10, Batch    182, Loss  0.608645, Average Loss  0.601537, Time  0.236243
2021-09-16 00:18:16.998850 : Epoch  3, Batch   1830, Loss  0.869504, Average Loss  0.872874, Time  0.265460
2021-09-16 00:18:17.111425 : Epoch 10, Batch    183, Loss  0.598764, Average Loss  0.601506, Time  0.235943
2021-09-16 00:18:18.633184 : Epoch 10, Batch    184, Loss  0.595024, Average Loss  0.601479, Time  0.236534
2021-09-16 00:18:19.991890 : Epoch  3, Batch   1831, Loss  0.874083, Average Loss  0.872874, Time  0.267393
2021-09-16 00:18:20.160161 : Epoch 10, Batch    185, Loss  0.606606, Average Loss  0.601485, Time  0.237428
2021-09-16 00:18:21.676826 : Epoch 10, Batch    186, Loss  0.610106, Average Loss  0.601542, Time  0.237944
2021-09-16 00:18:22.963725 : Epoch  3, Batch   1832, Loss  0.861533, Average Loss  0.872841, Time  0.265191
2021-09-16 00:18:23.202890 : Epoch 10, Batch    187, Loss  0.597068, Average Loss  0.601516, Time  0.235987
2021-09-16 00:18:25.942881 : Epoch  3, Batch   1833, Loss  0.867872, Average Loss  0.872803, Time  0.265215
2021-09-16 00:18:27.041950 : Epoch 10, Batch    188, Loss  0.603095, Average Loss  0.601522, Time  0.271318
2021-09-16 00:18:28.597449 : Epoch 10, Batch    189, Loss  0.609647, Average Loss  0.601574, Time  0.252668
2021-09-16 00:18:28.920792 : Epoch  3, Batch   1834, Loss  0.869629, Average Loss  0.872640, Time  0.265444
2021-09-16 00:18:30.131711 : Epoch 10, Batch    190, Loss  0.596638, Average Loss  0.601534, Time  0.236459
2021-09-16 00:18:31.672734 : Epoch 10, Batch    191, Loss  0.598247, Average Loss  0.601554, Time  0.236032
2021-09-16 00:18:31.887268 : Epoch  3, Batch   1835, Loss  0.878291, Average Loss  0.872629, Time  0.264953
2021-09-16 00:18:33.201236 : Epoch 10, Batch    192, Loss  0.597365, Average Loss  0.601571, Time  0.236201
2021-09-16 00:18:34.738094 : Epoch 10, Batch    193, Loss  0.609072, Average Loss  0.601601, Time  0.236027
2021-09-16 00:18:34.847444 : Epoch  3, Batch   1836, Loss  0.849575, Average Loss  0.872587, Time  0.265296
2021-09-16 00:18:36.268543 : Epoch 10, Batch    194, Loss  0.589339, Average Loss  0.601559, Time  0.235861
2021-09-16 00:18:37.806199 : Epoch 10, Batch    195, Loss  0.597613, Average Loss  0.601550, Time  0.236143
2021-09-16 00:18:37.811013 : Epoch  3, Batch   1837, Loss  0.867289, Average Loss  0.872522, Time  0.266207
2021-09-16 00:18:39.340534 : Epoch 10, Batch    196, Loss  0.606672, Average Loss  0.601590, Time  0.237940
2021-09-16 00:18:40.820240 : Epoch  3, Batch   1838, Loss  0.874003, Average Loss  0.872509, Time  0.265643
2021-09-16 00:18:40.865110 : Epoch 10, Batch    197, Loss  0.606358, Average Loss  0.601582, Time  0.235479
2021-09-16 00:18:42.376457 : Epoch 10, Batch    198, Loss  0.595307, Average Loss  0.601585, Time  0.235671
2021-09-16 00:18:43.829602 : Epoch  3, Batch   1839, Loss  0.866879, Average Loss  0.872506, Time  0.265771
2021-09-16 00:18:43.937434 : Epoch 10, Batch    199, Loss  0.605106, Average Loss  0.601581, Time  0.236129
2021-09-16 00:18:45.454655 : Epoch 10, Batch    200, Loss  0.599006, Average Loss  0.601522, Time  0.235891
2021-09-16 00:18:46.837075 : Epoch  3, Batch   1840, Loss  0.871845, Average Loss  0.872425, Time  0.265613
2021-09-16 00:18:46.991083 : Epoch 10, Batch    201, Loss  0.602928, Average Loss  0.601477, Time  0.237207
2021-09-16 00:18:48.516723 : Epoch 10, Batch    202, Loss  0.601189, Average Loss  0.601505, Time  0.237861
2021-09-16 00:18:49.827023 : Epoch  3, Batch   1841, Loss  0.854333, Average Loss  0.872380, Time  0.265666
2021-09-16 00:18:50.043760 : Epoch 10, Batch    203, Loss  0.597310, Average Loss  0.601434, Time  0.236117
2021-09-16 00:18:51.564954 : Epoch 10, Batch    204, Loss  0.603956, Average Loss  0.601497, Time  0.236059
2021-09-16 00:18:52.814394 : Epoch  3, Batch   1842, Loss  0.877018, Average Loss  0.872328, Time  0.265569
2021-09-16 00:18:53.098623 : Epoch 10, Batch    205, Loss  0.590250, Average Loss  0.601439, Time  0.236114
2021-09-16 00:18:54.619838 : Epoch 10, Batch    206, Loss  0.605779, Average Loss  0.601454, Time  0.236192
2021-09-16 00:18:55.790318 : Epoch  3, Batch   1843, Loss  0.877724, Average Loss  0.872357, Time  0.265716
2021-09-16 00:18:56.170784 : Epoch 10, Batch    207, Loss  0.598435, Average Loss  0.601383, Time  0.236342
2021-09-16 00:18:57.687423 : Epoch 10, Batch    208, Loss  0.585010, Average Loss  0.601294, Time  0.236081
2021-09-16 00:18:58.777071 : Epoch  3, Batch   1844, Loss  0.872398, Average Loss  0.872325, Time  0.278664
2021-09-16 00:18:59.213610 : Epoch 10, Batch    209, Loss  0.600424, Average Loss  0.601285, Time  0.236860
2021-09-16 00:19:00.728700 : Epoch 10, Batch    210, Loss  0.609614, Average Loss  0.601331, Time  0.235865
2021-09-16 00:19:01.783578 : Epoch  3, Batch   1845, Loss  0.869454, Average Loss  0.872411, Time  0.266259
2021-09-16 00:19:02.253311 : Epoch 10, Batch    211, Loss  0.601298, Average Loss  0.601329, Time  0.235642
2021-09-16 00:19:03.770411 : Epoch 10, Batch    212, Loss  0.600540, Average Loss  0.601354, Time  0.235730
2021-09-16 00:19:04.780173 : Epoch  3, Batch   1846, Loss  0.883375, Average Loss  0.872479, Time  0.266214
2021-09-16 00:19:05.307434 : Epoch 10, Batch    213, Loss  0.612597, Average Loss  0.601396, Time  0.235672
2021-09-16 00:19:06.848402 : Epoch 10, Batch    214, Loss  0.609582, Average Loss  0.601409, Time  0.236827
2021-09-16 00:19:07.773759 : Epoch  3, Batch   1847, Loss  0.878547, Average Loss  0.872514, Time  0.265260
2021-09-16 00:19:08.380923 : Epoch 10, Batch    215, Loss  0.596665, Average Loss  0.601414, Time  0.236107
2021-09-16 00:19:09.915319 : Epoch 10, Batch    216, Loss  0.590130, Average Loss  0.601411, Time  0.235623
2021-09-16 00:19:10.748336 : Epoch  3, Batch   1848, Loss  0.849942, Average Loss  0.872488, Time  0.265893
2021-09-16 00:19:11.461560 : Epoch 10, Batch    217, Loss  0.595878, Average Loss  0.601427, Time  0.237006
2021-09-16 00:19:13.719953 : Epoch  3, Batch   1849, Loss  0.864093, Average Loss  0.872525, Time  0.266179
2021-09-16 00:19:16.719048 : Epoch  3, Batch   1850, Loss  0.874162, Average Loss  0.872428, Time  0.266771
2021-09-16 00:19:19.703841 : Epoch  3, Batch   1851, Loss  0.874903, Average Loss  0.872468, Time  0.264369
2021-09-16 00:19:22.696011 : Epoch  3, Batch   1852, Loss  0.867572, Average Loss  0.872416, Time  0.265028
2021-09-16 00:19:25.662710 : Epoch  3, Batch   1853, Loss  0.866083, Average Loss  0.872487, Time  0.266635
2021-09-16 00:19:28.658353 : Epoch  3, Batch   1854, Loss  0.854689, Average Loss  0.872362, Time  0.265726
2021-09-16 00:19:31.652933 : Epoch  3, Batch   1855, Loss  0.880479, Average Loss  0.872353, Time  0.267740
2021-09-16 00:19:34.638626 : Epoch  3, Batch   1856, Loss  0.892120, Average Loss  0.872446, Time  0.265977
2021-09-16 00:19:34.668289 : Saving Model after 3-th Epoch.
2021-09-16 00:19:35.136796 : Epoch Finished.
2021-09-16 00:19:43.165639 : Batch Shuffled
2021-09-16 00:19:46.218999 : Epoch  4, Batch      1, Loss  0.863434, Average Loss  0.872314, Time  0.278338
2021-09-16 00:19:49.257984 : Epoch  4, Batch      2, Loss  0.890274, Average Loss  0.872421, Time  0.268178
2021-09-16 00:19:52.279379 : Epoch  4, Batch      3, Loss  0.859842, Average Loss  0.872487, Time  0.266895
2021-09-16 00:19:55.275828 : Epoch  4, Batch      4, Loss  0.877781, Average Loss  0.872574, Time  0.265000
2021-09-16 00:19:58.270693 : Epoch  4, Batch      5, Loss  0.877222, Average Loss  0.872458, Time  0.265266
2021-09-16 00:20:01.252485 : Epoch  4, Batch      6, Loss  0.884790, Average Loss  0.872433, Time  0.268135
2021-09-16 00:20:04.231507 : Epoch  4, Batch      7, Loss  0.841297, Average Loss  0.872342, Time  0.265907
2021-09-16 00:20:07.204732 : Epoch  4, Batch      8, Loss  0.855524, Average Loss  0.872225, Time  0.265605
2021-09-16 00:20:08.662774 : CheckPoint: Validation Loss  0.00024810, Best Loss  0.00024058
2021-09-16 00:20:10.184425 : Epoch  4, Batch      9, Loss  0.866589, Average Loss  0.872196, Time  0.265411
2021-09-16 00:20:10.198847 : Epoch 10, Batch    218, Loss  0.610346, Average Loss  0.601450, Time  0.236501
2021-09-16 00:20:11.723463 : Epoch 10, Batch    219, Loss  0.603426, Average Loss  0.601475, Time  0.237512
2021-09-16 00:20:13.196016 : Epoch  4, Batch     10, Loss  0.865584, Average Loss  0.872159, Time  0.264842
2021-09-16 00:20:13.257423 : Epoch 10, Batch    220, Loss  0.598454, Average Loss  0.601449, Time  0.235886
2021-09-16 00:20:14.769075 : Epoch 10, Batch    221, Loss  0.597555, Average Loss  0.601421, Time  0.236798
2021-09-16 00:20:16.181746 : Epoch  4, Batch     11, Loss  0.866167, Average Loss  0.872227, Time  0.265833
2021-09-16 00:20:16.304364 : Epoch 10, Batch    222, Loss  0.600858, Average Loss  0.601428, Time  0.237383
2021-09-16 00:20:17.826747 : Epoch 10, Batch    223, Loss  0.597142, Average Loss  0.601432, Time  0.236909
2021-09-16 00:20:19.182231 : Epoch  4, Batch     12, Loss  0.896904, Average Loss  0.872420, Time  0.267662
2021-09-16 00:20:19.362091 : Epoch 10, Batch    224, Loss  0.593081, Average Loss  0.601362, Time  0.236406
2021-09-16 00:20:20.890280 : Epoch 10, Batch    225, Loss  0.607712, Average Loss  0.601414, Time  0.237047
2021-09-16 00:20:22.201614 : Epoch  4, Batch     13, Loss  0.858643, Average Loss  0.872232, Time  0.266731
2021-09-16 00:20:22.424265 : Epoch 10, Batch    226, Loss  0.588631, Average Loss  0.601330, Time  0.235943
2021-09-16 00:20:23.945036 : Epoch 10, Batch    227, Loss  0.612774, Average Loss  0.601347, Time  0.237689
2021-09-16 00:20:25.179158 : Epoch  4, Batch     14, Loss  0.902088, Average Loss  0.872383, Time  0.266269
2021-09-16 00:20:25.479070 : Epoch 10, Batch    228, Loss  0.599996, Average Loss  0.601351, Time  0.236219
2021-09-16 00:20:27.001861 : Epoch 10, Batch    229, Loss  0.595136, Average Loss  0.601296, Time  0.237544
2021-09-16 00:20:28.167915 : Epoch  4, Batch     15, Loss  0.866786, Average Loss  0.872467, Time  0.265721
2021-09-16 00:20:28.548444 : Epoch 10, Batch    230, Loss  0.613398, Average Loss  0.601351, Time  0.237082
2021-09-16 00:20:30.069616 : Epoch 10, Batch    231, Loss  0.606002, Average Loss  0.601410, Time  0.237444
2021-09-16 00:20:31.161018 : Epoch  4, Batch     16, Loss  0.871547, Average Loss  0.872399, Time  0.278592
2021-09-16 00:20:31.598888 : Epoch 10, Batch    232, Loss  0.612114, Average Loss  0.601473, Time  0.236074
2021-09-16 00:20:33.115698 : Epoch 10, Batch    233, Loss  0.597024, Average Loss  0.601446, Time  0.236203
2021-09-16 00:20:34.149108 : Epoch  4, Batch     17, Loss  0.861675, Average Loss  0.872363, Time  0.266134
2021-09-16 00:20:34.654144 : Epoch 10, Batch    234, Loss  0.612421, Average Loss  0.601499, Time  0.237464
2021-09-16 00:20:36.173590 : Epoch 10, Batch    235, Loss  0.598867, Average Loss  0.601404, Time  0.237322
2021-09-16 00:20:37.176725 : Epoch  4, Batch     18, Loss  0.870917, Average Loss  0.872280, Time  0.265907
2021-09-16 00:20:37.712108 : Epoch 10, Batch    236, Loss  0.603101, Average Loss  0.601374, Time  0.236784
2021-09-16 00:20:39.244962 : Epoch 10, Batch    237, Loss  0.592588, Average Loss  0.601393, Time  0.237791
2021-09-16 00:20:40.171713 : Epoch  4, Batch     19, Loss  0.878030, Average Loss  0.872243, Time  0.264814
2021-09-16 00:20:40.774885 : Epoch 10, Batch    238, Loss  0.595815, Average Loss  0.601403, Time  0.235858
2021-09-16 00:20:42.312224 : Epoch 10, Batch    239, Loss  0.606058, Average Loss  0.601412, Time  0.235828
2021-09-16 00:20:43.167282 : Epoch  4, Batch     20, Loss  0.850111, Average Loss  0.872204, Time  0.266760
2021-09-16 00:20:43.847287 : Epoch 10, Batch    240, Loss  0.588867, Average Loss  0.601382, Time  0.238184
2021-09-16 00:20:45.379428 : Epoch 10, Batch    241, Loss  0.603384, Average Loss  0.601417, Time  0.236485
2021-09-16 00:20:46.158457 : Epoch  4, Batch     21, Loss  0.856764, Average Loss  0.872180, Time  0.266189
2021-09-16 00:20:46.912851 : Epoch 10, Batch    242, Loss  0.594791, Average Loss  0.601455, Time  0.236245
2021-09-16 00:20:48.447842 : Epoch 10, Batch    243, Loss  0.602387, Average Loss  0.601431, Time  0.236565
2021-09-16 00:20:49.173972 : Epoch  4, Batch     22, Loss  0.871755, Average Loss  0.872105, Time  0.265822
2021-09-16 00:20:49.986103 : Epoch 10, Batch    244, Loss  0.596966, Average Loss  0.601334, Time  0.236521
2021-09-16 00:20:51.515421 : Epoch 10, Batch    245, Loss  0.606940, Average Loss  0.601328, Time  0.235914
2021-09-16 00:20:52.162777 : Epoch  4, Batch     23, Loss  0.843305, Average Loss  0.871865, Time  0.264971
2021-09-16 00:20:53.044995 : Epoch 10, Batch    246, Loss  0.598590, Average Loss  0.601317, Time  0.235998
2021-09-16 00:20:54.599908 : Epoch 10, Batch    247, Loss  0.604849, Average Loss  0.601352, Time  0.236617
2021-09-16 00:20:55.139678 : Epoch  4, Batch     24, Loss  0.892394, Average Loss  0.871992, Time  0.265394
2021-09-16 00:20:56.135425 : Epoch 10, Batch    248, Loss  0.613291, Average Loss  0.601433, Time  0.237355
2021-09-16 00:20:57.694452 : Epoch 10, Batch    249, Loss  0.596703, Average Loss  0.601437, Time  0.236572
2021-09-16 00:20:58.122376 : Epoch  4, Batch     25, Loss  0.905343, Average Loss  0.872168, Time  0.267588
2021-09-16 00:20:59.223659 : Epoch 10, Batch    250, Loss  0.594619, Average Loss  0.601421, Time  0.235471
2021-09-16 00:21:00.765530 : Epoch 10, Batch    251, Loss  0.587686, Average Loss  0.601348, Time  0.235924
2021-09-16 00:21:01.096694 : Epoch  4, Batch     26, Loss  0.880596, Average Loss  0.872080, Time  0.266155
2021-09-16 00:21:02.299509 : Epoch 10, Batch    252, Loss  0.594544, Average Loss  0.601262, Time  0.236493
2021-09-16 00:21:03.824396 : Epoch 10, Batch    253, Loss  0.599533, Average Loss  0.601269, Time  0.236191
2021-09-16 00:21:04.058564 : Epoch  4, Batch     27, Loss  0.861617, Average Loss  0.871961, Time  0.266070
2021-09-16 00:21:05.356397 : Epoch 10, Batch    254, Loss  0.600615, Average Loss  0.601233, Time  0.236888
2021-09-16 00:21:06.884178 : Epoch 10, Batch    255, Loss  0.592057, Average Loss  0.601235, Time  0.238923
2021-09-16 00:21:07.019799 : Epoch  4, Batch     28, Loss  0.892546, Average Loss  0.872097, Time  0.265661
2021-09-16 00:21:08.419796 : Epoch 10, Batch    256, Loss  0.598054, Average Loss  0.601205, Time  0.236202
2021-09-16 00:21:09.956997 : Epoch 10, Batch    257, Loss  0.601302, Average Loss  0.601183, Time  0.236699
2021-09-16 00:21:09.990875 : Epoch  4, Batch     29, Loss  0.870687, Average Loss  0.871998, Time  0.265133
2021-09-16 00:21:11.498888 : Epoch 10, Batch    258, Loss  0.606858, Average Loss  0.601194, Time  0.236899
2021-09-16 00:21:12.980492 : Epoch  4, Batch     30, Loss  0.860887, Average Loss  0.871873, Time  0.265581
2021-09-16 00:21:13.046445 : Epoch 10, Batch    259, Loss  0.599083, Average Loss  0.601236, Time  0.237127
2021-09-16 00:21:14.583632 : Epoch 10, Batch    260, Loss  0.588831, Average Loss  0.601235, Time  0.237816
2021-09-16 00:21:15.981708 : Epoch  4, Batch     31, Loss  0.896650, Average Loss  0.872010, Time  0.277117
2021-09-16 00:21:16.120435 : Epoch 10, Batch    261, Loss  0.594951, Average Loss  0.601250, Time  0.237016
2021-09-16 00:21:17.649940 : Epoch 10, Batch    262, Loss  0.602740, Average Loss  0.601245, Time  0.235824
2021-09-16 00:21:18.974860 : Epoch  4, Batch     32, Loss  0.880108, Average Loss  0.872020, Time  0.265322
2021-09-16 00:21:19.183412 : Epoch 10, Batch    263, Loss  0.590473, Average Loss  0.601169, Time  0.236598
2021-09-16 00:21:20.706946 : Epoch 10, Batch    264, Loss  0.588376, Average Loss  0.601155, Time  0.237762
2021-09-16 00:21:22.241155 : Epoch 10, Batch    265, Loss  0.593366, Average Loss  0.601205, Time  0.237480
2021-09-16 00:21:23.767015 : Epoch 10, Batch    266, Loss  0.607835, Average Loss  0.601225, Time  0.236261
2021-09-16 00:21:25.303961 : Epoch 10, Batch    267, Loss  0.595667, Average Loss  0.601166, Time  0.238760
2021-09-16 00:21:26.838220 : Epoch 10, Batch    268, Loss  0.603379, Average Loss  0.601119, Time  0.237232
2021-09-16 00:21:28.370400 : Epoch 10, Batch    269, Loss  0.604660, Average Loss  0.601185, Time  0.236095
2021-09-16 00:21:29.899971 : Epoch 10, Batch    270, Loss  0.595443, Average Loss  0.601196, Time  0.238336
2021-09-16 00:21:31.429230 : Epoch 10, Batch    271, Loss  0.599490, Average Loss  0.601158, Time  0.235884
2021-09-16 00:21:32.964093 : Epoch 10, Batch    272, Loss  0.598198, Average Loss  0.601156, Time  0.237905
2021-09-16 00:21:34.503921 : Epoch 10, Batch    273, Loss  0.595466, Average Loss  0.601109, Time  0.237261
2021-09-16 00:21:36.027337 : Epoch 10, Batch    274, Loss  0.605663, Average Loss  0.601116, Time  0.236444
2021-09-16 00:21:37.558205 : Epoch 10, Batch    275, Loss  0.607213, Average Loss  0.601117, Time  0.237388
2021-09-16 00:21:39.088405 : Epoch 10, Batch    276, Loss  0.598967, Average Loss  0.601150, Time  0.235729
2021-09-16 00:21:40.610917 : Epoch 10, Batch    277, Loss  0.610232, Average Loss  0.601182, Time  0.236381
2021-09-16 00:21:42.133916 : Epoch 10, Batch    278, Loss  0.597384, Average Loss  0.601131, Time  0.235878
2021-09-16 00:21:43.663604 : Epoch 10, Batch    279, Loss  0.609136, Average Loss  0.601202, Time  0.239418
2021-09-16 00:21:45.195321 : Epoch 10, Batch    280, Loss  0.609508, Average Loss  0.601209, Time  0.235831
2021-09-16 00:21:46.743641 : Epoch 10, Batch    281, Loss  0.600218, Average Loss  0.601150, Time  0.236152
2021-09-16 00:21:48.272188 : Epoch 10, Batch    282, Loss  0.591372, Average Loss  0.601098, Time  0.235892
2021-09-16 00:21:49.798433 : Epoch 10, Batch    283, Loss  0.600146, Average Loss  0.601048, Time  0.235485
2021-09-16 00:21:51.335859 : Epoch 10, Batch    284, Loss  0.603350, Average Loss  0.601030, Time  0.237373
2021-09-16 00:21:52.867181 : Epoch 10, Batch    285, Loss  0.599499, Average Loss  0.601045, Time  0.236210
2021-09-16 00:21:54.398088 : Epoch 10, Batch    286, Loss  0.604146, Average Loss  0.601122, Time  0.238706
2021-09-16 00:21:55.930246 : Epoch 10, Batch    287, Loss  0.592759, Average Loss  0.601090, Time  0.236167
2021-09-16 00:21:59.822617 : Epoch 10, Batch    288, Loss  0.612898, Average Loss  0.601160, Time  0.270224
2021-09-16 00:22:01.369415 : Epoch 10, Batch    289, Loss  0.583644, Average Loss  0.601109, Time  0.250232
2021-09-16 00:22:01.508876 : Epoch 10, Batch    290, Loss  0.416011, Average Loss  0.600166, Time  0.095095
2021-09-16 00:22:03.032387 : Epoch 10, Batch    291, Loss  0.603583, Average Loss  0.600190, Time  0.235910
2021-09-16 00:22:04.561694 : Epoch 10, Batch    292, Loss  0.601207, Average Loss  0.600240, Time  0.236174
2021-09-16 00:22:06.090211 : Epoch 10, Batch    293, Loss  0.606598, Average Loss  0.600217, Time  0.237049
2021-09-16 00:22:07.634051 : Epoch 10, Batch    294, Loss  0.599947, Average Loss  0.600264, Time  0.236629
2021-09-16 00:22:09.186882 : Epoch 10, Batch    295, Loss  0.595557, Average Loss  0.600168, Time  0.245744
2021-09-16 00:22:10.727036 : Epoch 10, Batch    296, Loss  0.603116, Average Loss  0.600179, Time  0.236965
2021-09-16 00:22:12.266233 : Epoch 10, Batch    297, Loss  0.586564, Average Loss  0.600139, Time  0.236592
2021-09-16 00:22:13.800140 : Epoch 10, Batch    298, Loss  0.606769, Average Loss  0.600062, Time  0.236004
2021-09-16 00:22:15.330402 : Epoch 10, Batch    299, Loss  0.604160, Average Loss  0.600028, Time  0.235664
2021-09-16 00:22:16.877051 : Epoch 10, Batch    300, Loss  0.589574, Average Loss  0.600021, Time  0.238300
2021-09-16 00:22:17.502361 : CheckPoint: Validation Loss  0.00030858, Best Loss  0.00030249
2021-09-16 00:22:18.422402 : Epoch 10, Batch    301, Loss  0.596891, Average Loss  0.600074, Time  0.239507
2021-09-16 00:22:19.949405 : Epoch 10, Batch    302, Loss  0.603850, Average Loss  0.600142, Time  0.237139
2021-09-16 00:22:20.118423 : Epoch  1, Batch    901, Loss  0.883444, Average Loss  0.884737, Time  0.258451
2021-09-16 00:22:21.486591 : Epoch 10, Batch    303, Loss  0.597835, Average Loss  0.600092, Time  0.236302
2021-09-16 00:22:22.710790 : Epoch  1, Batch    902, Loss  0.879354, Average Loss  0.884723, Time  0.240408
2021-09-16 00:22:23.027444 : Epoch 10, Batch    304, Loss  0.602394, Average Loss  0.600083, Time  0.235550
2021-09-16 00:22:24.574188 : Epoch 10, Batch    305, Loss  0.598303, Average Loss  0.600076, Time  0.236030
2021-09-16 00:22:25.310397 : Epoch  1, Batch    903, Loss  0.864501, Average Loss  0.884634, Time  0.240053
2021-09-16 00:22:26.100611 : Epoch 10, Batch    306, Loss  0.601219, Average Loss  0.600042, Time  0.235728
2021-09-16 00:22:27.639398 : Epoch 10, Batch    307, Loss  0.588706, Average Loss  0.599976, Time  0.236003
2021-09-16 00:22:27.921842 : Epoch  1, Batch    904, Loss  0.873001, Average Loss  0.884524, Time  0.240128
2021-09-16 00:22:29.171367 : Epoch 10, Batch    308, Loss  0.597572, Average Loss  0.599966, Time  0.236272
2021-09-16 00:22:30.531366 : Epoch  1, Batch    905, Loss  0.876411, Average Loss  0.884549, Time  0.240077
2021-09-16 00:22:30.713373 : Epoch 10, Batch    309, Loss  0.603689, Average Loss  0.600019, Time  0.237837
2021-09-16 00:22:32.241196 : Epoch 10, Batch    310, Loss  0.605292, Average Loss  0.600044, Time  0.236907
2021-09-16 00:22:33.139262 : Epoch  1, Batch    906, Loss  0.853278, Average Loss  0.884443, Time  0.243000
2021-09-16 00:22:33.775556 : Epoch 10, Batch    311, Loss  0.592547, Average Loss  0.599962, Time  0.236691
2021-09-16 00:22:35.302978 : Epoch 10, Batch    312, Loss  0.609221, Average Loss  0.599969, Time  0.237463
2021-09-16 00:22:35.742402 : Epoch  1, Batch    907, Loss  0.897085, Average Loss  0.884486, Time  0.241073
2021-09-16 00:22:36.829408 : Epoch 10, Batch    313, Loss  0.605981, Average Loss  0.599944, Time  0.236142
2021-09-16 00:22:38.337694 : Epoch  1, Batch    908, Loss  0.882600, Average Loss  0.884495, Time  0.242348
2021-09-16 00:22:38.365419 : Epoch 10, Batch    314, Loss  0.600668, Average Loss  0.599996, Time  0.235857
2021-09-16 00:22:39.884412 : Epoch 10, Batch    315, Loss  0.590712, Average Loss  0.599888, Time  0.235539
2021-09-16 00:22:40.931415 : Epoch  1, Batch    909, Loss  0.895880, Average Loss  0.884508, Time  0.241469
2021-09-16 00:22:41.411179 : Epoch 10, Batch    316, Loss  0.600713, Average Loss  0.599805, Time  0.238348
2021-09-16 00:22:42.926579 : Epoch 10, Batch    317, Loss  0.605850, Average Loss  0.599825, Time  0.236646
2021-09-16 00:22:43.530979 : Epoch  1, Batch    910, Loss  0.906604, Average Loss  0.884557, Time  0.241659
2021-09-16 00:22:46.121856 : Epoch  1, Batch    911, Loss  0.867648, Average Loss  0.884405, Time  0.241258
2021-09-16 00:22:48.716388 : Epoch  1, Batch    912, Loss  0.867946, Average Loss  0.884253, Time  0.239930
2021-09-16 00:22:51.314930 : Epoch  1, Batch    913, Loss  0.888518, Average Loss  0.884203, Time  0.243811
2021-09-16 00:22:53.914808 : Epoch  1, Batch    914, Loss  0.892828, Average Loss  0.884255, Time  0.240367
2021-09-16 00:22:56.513418 : Epoch  1, Batch    915, Loss  0.865819, Average Loss  0.884247, Time  0.240115
2021-09-16 00:22:59.118956 : Epoch  1, Batch    916, Loss  0.884819, Average Loss  0.884249, Time  0.240908
2021-09-16 00:23:01.726006 : Epoch  1, Batch    917, Loss  0.885969, Average Loss  0.884354, Time  0.240124
2021-09-16 00:23:04.327896 : Epoch  1, Batch    918, Loss  0.893753, Average Loss  0.884343, Time  0.240402
2021-09-16 00:23:06.935996 : Epoch  1, Batch    919, Loss  0.918056, Average Loss  0.884552, Time  0.241872
2021-09-16 00:23:09.544737 : Epoch  1, Batch    920, Loss  0.890407, Average Loss  0.884575, Time  0.242169
2021-09-16 00:23:12.143096 : Epoch  1, Batch    921, Loss  0.881136, Average Loss  0.884547, Time  0.241280
2021-09-16 00:23:14.741079 : Epoch  1, Batch    922, Loss  0.887334, Average Loss  0.884642, Time  0.240720
2021-09-16 00:23:17.335845 : Epoch  1, Batch    923, Loss  0.881506, Average Loss  0.884692, Time  0.241237
2021-09-16 00:23:19.938245 : Epoch  1, Batch    924, Loss  0.868261, Average Loss  0.884707, Time  0.240923
2021-09-16 00:23:22.542104 : Epoch  1, Batch    925, Loss  0.887388, Average Loss  0.884764, Time  0.241313
2021-09-16 00:23:25.141904 : Epoch  1, Batch    926, Loss  0.875245, Average Loss  0.884635, Time  0.240722
2021-09-16 00:23:27.742678 : Epoch  1, Batch    927, Loss  0.889629, Average Loss  0.884676, Time  0.241209
2021-09-16 00:23:30.344849 : Epoch  1, Batch    928, Loss  0.870406, Average Loss  0.884687, Time  0.242447
2021-09-16 00:23:32.940095 : Epoch  1, Batch    929, Loss  0.890367, Average Loss  0.884646, Time  0.240122
2021-09-16 00:23:35.540023 : Epoch  1, Batch    930, Loss  0.861373, Average Loss  0.884538, Time  0.240069
2021-09-16 00:23:38.129685 : Epoch  1, Batch    931, Loss  0.862763, Average Loss  0.884402, Time  0.240217
2021-09-16 00:23:40.210544 : CheckPoint: Validation Loss  0.00025312, Best Loss  0.00024058
2021-09-16 00:23:40.731291 : Epoch  1, Batch    932, Loss  0.882369, Average Loss  0.884645, Time  0.245103
2021-09-16 00:23:41.778833 : Epoch 10, Batch    318, Loss  0.588860, Average Loss  0.599816, Time  0.273193
2021-09-16 00:23:43.322155 : Epoch  1, Batch    933, Loss  0.869453, Average Loss  0.884580, Time  0.241219
2021-09-16 00:23:43.350997 : Epoch 10, Batch    319, Loss  0.605871, Average Loss  0.599805, Time  0.247121
2021-09-16 00:23:44.883998 : Epoch 10, Batch    320, Loss  0.593379, Average Loss  0.599794, Time  0.237577
2021-09-16 00:23:45.917090 : Epoch  1, Batch    934, Loss  0.898826, Average Loss  0.884579, Time  0.241536
2021-09-16 00:23:46.408725 : Epoch 10, Batch    321, Loss  0.590262, Average Loss  0.599749, Time  0.236097
2021-09-16 00:23:47.932871 : Epoch 10, Batch    322, Loss  0.598095, Average Loss  0.599726, Time  0.235733
2021-09-16 00:23:48.511439 : Epoch  1, Batch    935, Loss  0.882663, Average Loss  0.884459, Time  0.240880
2021-09-16 00:23:49.467130 : Epoch 10, Batch    323, Loss  0.594426, Average Loss  0.599714, Time  0.236264
2021-09-16 00:23:50.999885 : Epoch 10, Batch    324, Loss  0.599695, Average Loss  0.599708, Time  0.237554
2021-09-16 00:23:51.096536 : Epoch  1, Batch    936, Loss  0.881223, Average Loss  0.884324, Time  0.240214
2021-09-16 00:23:52.535350 : Epoch 10, Batch    325, Loss  0.610470, Average Loss  0.599794, Time  0.236127
2021-09-16 00:23:53.686166 : Epoch  1, Batch    937, Loss  0.867900, Average Loss  0.884187, Time  0.241429
2021-09-16 00:23:54.058642 : Epoch 10, Batch    326, Loss  0.594137, Average Loss  0.599737, Time  0.235978
2021-09-16 00:23:55.582019 : Epoch 10, Batch    327, Loss  0.607127, Average Loss  0.599724, Time  0.235841
2021-09-16 00:23:56.288875 : Epoch  1, Batch    938, Loss  0.872732, Average Loss  0.884136, Time  0.240247
2021-09-16 00:23:57.115536 : Epoch 10, Batch    328, Loss  0.602816, Average Loss  0.599658, Time  0.236077
2021-09-16 00:23:58.645404 : Epoch 10, Batch    329, Loss  0.605321, Average Loss  0.599656, Time  0.236438
2021-09-16 00:23:58.875040 : Epoch  1, Batch    939, Loss  0.896087, Average Loss  0.884133, Time  0.239717
2021-09-16 00:24:00.186232 : Epoch 10, Batch    330, Loss  0.592224, Average Loss  0.599595, Time  0.238117
2021-09-16 00:24:01.468830 : Epoch  1, Batch    940, Loss  0.892562, Average Loss  0.884135, Time  0.240330
2021-09-16 00:24:01.708157 : Epoch 10, Batch    331, Loss  0.598374, Average Loss  0.599606, Time  0.235993
2021-09-16 00:24:03.234081 : Epoch 10, Batch    332, Loss  0.605936, Average Loss  0.599683, Time  0.235750
2021-09-16 00:24:04.070380 : Epoch  1, Batch    941, Loss  0.864248, Average Loss  0.884080, Time  0.240022
2021-09-16 00:24:04.759410 : Epoch 10, Batch    333, Loss  0.600560, Average Loss  0.599651, Time  0.236166
2021-09-16 00:24:06.288159 : Epoch 10, Batch    334, Loss  0.602236, Average Loss  0.599670, Time  0.236240
2021-09-16 00:24:06.669197 : Epoch  1, Batch    942, Loss  0.877581, Average Loss  0.884085, Time  0.241154
2021-09-16 00:24:07.825157 : Epoch 10, Batch    335, Loss  0.592599, Average Loss  0.599617, Time  0.236440
2021-09-16 00:24:09.299380 : Epoch  1, Batch    943, Loss  0.899397, Average Loss  0.884233, Time  0.239764
2021-09-16 00:24:09.353874 : Epoch 10, Batch    336, Loss  0.596998, Average Loss  0.599559, Time  0.237496
2021-09-16 00:24:10.883402 : Epoch 10, Batch    337, Loss  0.602199, Average Loss  0.599567, Time  0.236132
2021-09-16 00:24:11.898210 : Epoch  1, Batch    944, Loss  0.886183, Average Loss  0.884251, Time  0.241565
2021-09-16 00:24:12.408388 : Epoch 10, Batch    338, Loss  0.605367, Average Loss  0.599587, Time  0.235825
2021-09-16 00:24:13.926003 : Epoch 10, Batch    339, Loss  0.598702, Average Loss  0.599603, Time  0.235940
2021-09-16 00:24:14.496045 : Epoch  1, Batch    945, Loss  0.900770, Average Loss  0.884389, Time  0.240406
2021-09-16 00:24:15.457544 : Epoch 10, Batch    340, Loss  0.591351, Average Loss  0.599521, Time  0.235953
2021-09-16 00:24:17.034431 : Epoch 10, Batch    341, Loss  0.593616, Average Loss  0.599462, Time  0.237620
2021-09-16 00:24:17.094969 : Epoch  1, Batch    946, Loss  0.900185, Average Loss  0.884454, Time  0.240396
2021-09-16 00:24:18.571942 : Epoch 10, Batch    342, Loss  0.605542, Average Loss  0.599528, Time  0.239571
2021-09-16 00:24:19.696734 : Epoch  1, Batch    947, Loss  0.871321, Average Loss  0.884437, Time  0.240617
2021-09-16 00:24:20.091626 : Epoch 10, Batch    343, Loss  0.588668, Average Loss  0.599494, Time  0.236778
2021-09-16 00:24:21.613903 : Epoch 10, Batch    344, Loss  0.600247, Average Loss  0.599505, Time  0.237123
2021-09-16 00:24:22.317120 : Epoch  1, Batch    948, Loss  0.877753, Average Loss  0.884430, Time  0.241175
2021-09-16 00:24:23.137409 : Epoch 10, Batch    345, Loss  0.601880, Average Loss  0.599480, Time  0.235558
2021-09-16 00:24:24.673673 : Epoch 10, Batch    346, Loss  0.604987, Average Loss  0.599512, Time  0.237540
2021-09-16 00:24:24.934171 : Epoch  1, Batch    949, Loss  0.915935, Average Loss  0.884508, Time  0.241280
2021-09-16 00:24:26.206919 : Epoch 10, Batch    347, Loss  0.600644, Average Loss  0.599600, Time  0.236176
2021-09-16 00:24:27.531954 : Epoch  1, Batch    950, Loss  0.886658, Average Loss  0.884554, Time  0.240396
2021-09-16 00:24:27.745133 : Epoch 10, Batch    348, Loss  0.606185, Average Loss  0.599584, Time  0.242256
2021-09-16 00:24:29.274003 : Epoch 10, Batch    349, Loss  0.586095, Average Loss  0.599518, Time  0.237511
2021-09-16 00:24:30.129218 : Epoch  1, Batch    951, Loss  0.869360, Average Loss  0.884441, Time  0.240299
2021-09-16 00:24:30.810194 : Epoch 10, Batch    350, Loss  0.600572, Average Loss  0.599516, Time  0.235934
2021-09-16 00:24:32.341543 : Epoch 10, Batch    351, Loss  0.589655, Average Loss  0.599485, Time  0.239368
2021-09-16 00:24:32.729144 : Epoch  1, Batch    952, Loss  0.870273, Average Loss  0.884276, Time  0.240282
2021-09-16 00:24:33.874863 : Epoch 10, Batch    352, Loss  0.608618, Average Loss  0.599489, Time  0.236273
2021-09-16 00:24:35.319758 : Epoch  1, Batch    953, Loss  0.864949, Average Loss  0.884193, Time  0.240196
2021-09-16 00:24:35.413960 : Epoch 10, Batch    353, Loss  0.605053, Average Loss  0.599472, Time  0.241388
2021-09-16 00:24:36.947868 : Epoch 10, Batch    354, Loss  0.598707, Average Loss  0.599501, Time  0.238416
2021-09-16 00:24:37.915149 : Epoch  1, Batch    954, Loss  0.891728, Average Loss  0.884238, Time  0.239770
2021-09-16 00:24:38.481154 : Epoch 10, Batch    355, Loss  0.593503, Average Loss  0.599494, Time  0.236316
2021-09-16 00:24:40.026695 : Epoch 10, Batch    356, Loss  0.605434, Average Loss  0.599493, Time  0.236204
2021-09-16 00:24:40.512004 : Epoch  1, Batch    955, Loss  0.880459, Average Loss  0.884112, Time  0.240530
2021-09-16 00:24:41.564242 : Epoch 10, Batch    357, Loss  0.605392, Average Loss  0.599497, Time  0.239740
2021-09-16 00:24:43.104923 : Epoch 10, Batch    358, Loss  0.595350, Average Loss  0.599488, Time  0.237096
2021-09-16 00:24:43.136269 : Epoch  1, Batch    956, Loss  0.883801, Average Loss  0.884084, Time  0.241898
2021-09-16 00:24:44.638085 : Epoch 10, Batch    359, Loss  0.595015, Average Loss  0.599496, Time  0.237010
2021-09-16 00:24:45.747406 : Epoch  1, Batch    957, Loss  0.867971, Average Loss  0.883964, Time  0.239857
2021-09-16 00:24:46.171637 : Epoch 10, Batch    360, Loss  0.598093, Average Loss  0.599473, Time  0.236074
2021-09-16 00:24:47.690860 : Epoch 10, Batch    361, Loss  0.605987, Average Loss  0.599455, Time  0.236109
2021-09-16 00:24:48.345062 : Epoch  1, Batch    958, Loss  0.901847, Average Loss  0.884183, Time  0.240416
2021-09-16 00:24:49.224405 : Epoch 10, Batch    362, Loss  0.600756, Average Loss  0.599461, Time  0.236190
2021-09-16 00:24:50.766108 : Epoch 10, Batch    363, Loss  0.598062, Average Loss  0.599417, Time  0.236930
2021-09-16 00:24:50.934619 : Epoch  1, Batch    959, Loss  0.881334, Average Loss  0.884194, Time  0.239912
2021-09-16 00:24:52.294397 : Epoch 10, Batch    364, Loss  0.610914, Average Loss  0.599404, Time  0.236213
2021-09-16 00:24:53.528417 : Epoch  1, Batch    960, Loss  0.867895, Average Loss  0.884038, Time  0.239744
2021-09-16 00:24:53.821267 : Epoch 10, Batch    365, Loss  0.607743, Average Loss  0.599390, Time  0.236806
2021-09-16 00:24:55.346607 : Epoch 10, Batch    366, Loss  0.609797, Average Loss  0.599447, Time  0.236847
2021-09-16 00:24:56.147788 : Epoch  1, Batch    961, Loss  0.877470, Average Loss  0.883980, Time  0.240087
2021-09-16 00:24:57.214341 : Epoch 10, Batch    367, Loss  0.601062, Average Loss  0.599457, Time  0.235906
2021-09-16 00:24:58.748458 : Epoch 10, Batch    368, Loss  0.595110, Average Loss  0.599371, Time  0.235915
2021-09-16 00:24:59.146320 : Epoch  1, Batch    962, Loss  0.859410, Average Loss  0.883743, Time  0.270468
2021-09-16 00:25:00.274778 : Epoch 10, Batch    369, Loss  0.597966, Average Loss  0.599348, Time  0.236853
2021-09-16 00:25:01.733276 : Epoch  1, Batch    963, Loss  0.906431, Average Loss  0.883783, Time  0.245302
2021-09-16 00:25:01.823413 : Epoch 10, Batch    370, Loss  0.607503, Average Loss  0.599402, Time  0.236743
2021-09-16 00:25:03.347383 : Epoch 10, Batch    371, Loss  0.603875, Average Loss  0.599381, Time  0.235934
2021-09-16 00:25:04.337923 : Epoch  1, Batch    964, Loss  0.895926, Average Loss  0.883808, Time  0.240939
2021-09-16 00:25:04.881413 : Epoch 10, Batch    372, Loss  0.594783, Average Loss  0.599346, Time  0.238213
2021-09-16 00:25:06.425445 : Epoch 10, Batch    373, Loss  0.602085, Average Loss  0.599314, Time  0.236274
2021-09-16 00:25:06.945179 : Epoch  1, Batch    965, Loss  0.881031, Average Loss  0.883829, Time  0.241615
2021-09-16 00:25:07.954398 : Epoch 10, Batch    374, Loss  0.596530, Average Loss  0.599243, Time  0.236832
2021-09-16 00:25:09.480374 : Epoch 10, Batch    375, Loss  0.608142, Average Loss  0.599253, Time  0.236438
2021-09-16 00:25:09.548399 : Epoch  1, Batch    966, Loss  0.867505, Average Loss  0.883643, Time  0.240340
2021-09-16 00:25:11.022053 : Epoch 10, Batch    376, Loss  0.592918, Average Loss  0.599241, Time  0.235914
2021-09-16 00:25:12.151768 : Epoch  1, Batch    967, Loss  0.902538, Average Loss  0.883755, Time  0.240624
2021-09-16 00:25:12.578185 : Epoch 10, Batch    377, Loss  0.609722, Average Loss  0.599280, Time  0.236473
2021-09-16 00:25:14.103087 : Epoch 10, Batch    378, Loss  0.593636, Average Loss  0.599301, Time  0.236432
2021-09-16 00:25:14.758252 : Epoch  1, Batch    968, Loss  0.861099, Average Loss  0.883526, Time  0.241967
2021-09-16 00:25:15.639087 : Epoch 10, Batch    379, Loss  0.605060, Average Loss  0.599329, Time  0.236037
2021-09-16 00:25:17.164865 : Epoch 10, Batch    380, Loss  0.599545, Average Loss  0.599289, Time  0.236169
2021-09-16 00:25:17.349013 : Epoch  1, Batch    969, Loss  0.877797, Average Loss  0.883466, Time  0.240959
2021-09-16 00:25:18.726353 : Epoch 10, Batch    381, Loss  0.609935, Average Loss  0.599329, Time  0.237098
2021-09-16 00:25:19.937377 : Epoch  1, Batch    970, Loss  0.882842, Average Loss  0.883556, Time  0.241254
2021-09-16 00:25:20.257394 : Epoch 10, Batch    382, Loss  0.609394, Average Loss  0.599333, Time  0.237061
2021-09-16 00:25:21.786418 : Epoch 10, Batch    383, Loss  0.597025, Average Loss  0.599324, Time  0.236969
2021-09-16 00:25:22.534998 : Epoch  1, Batch    971, Loss  0.885672, Average Loss  0.883575, Time  0.240997
2021-09-16 00:25:23.315177 : Epoch 10, Batch    384, Loss  0.599762, Average Loss  0.599348, Time  0.236116
2021-09-16 00:25:24.857706 : Epoch 10, Batch    385, Loss  0.601799, Average Loss  0.599324, Time  0.236285
2021-09-16 00:25:25.124437 : Epoch  1, Batch    972, Loss  0.894680, Average Loss  0.883652, Time  0.240541
2021-09-16 00:25:26.391105 : Epoch 10, Batch    386, Loss  0.597655, Average Loss  0.599262, Time  0.235867
2021-09-16 00:25:27.720408 : Epoch  1, Batch    973, Loss  0.887711, Average Loss  0.883653, Time  0.240511
2021-09-16 00:25:27.933381 : Epoch 10, Batch    387, Loss  0.604776, Average Loss  0.599300, Time  0.240116
2021-09-16 00:25:30.306003 : Epoch  1, Batch    974, Loss  0.883142, Average Loss  0.883576, Time  0.240259
2021-09-16 00:25:31.779831 : Epoch 10, Batch    388, Loss  0.598246, Average Loss  0.599276, Time  0.268178
2021-09-16 00:25:32.905413 : Epoch  1, Batch    975, Loss  0.869652, Average Loss  0.883519, Time  0.240036
2021-09-16 00:25:33.314166 : Epoch 10, Batch    389, Loss  0.587889, Average Loss  0.599167, Time  0.239506
2021-09-16 00:25:34.833897 : Epoch 10, Batch    390, Loss  0.600687, Average Loss  0.599187, Time  0.236073
2021-09-16 00:25:35.499422 : Epoch  1, Batch    976, Loss  0.871870, Average Loss  0.883337, Time  0.240088
2021-09-16 00:25:36.364409 : Epoch 10, Batch    391, Loss  0.602150, Average Loss  0.599207, Time  0.237116
2021-09-16 00:25:37.890796 : Epoch 10, Batch    392, Loss  0.616371, Average Loss  0.599302, Time  0.236130
2021-09-16 00:25:38.101405 : Epoch  1, Batch    977, Loss  0.890804, Average Loss  0.883330, Time  0.243227
2021-09-16 00:25:39.422989 : Epoch 10, Batch    393, Loss  0.590481, Average Loss  0.599209, Time  0.235863
2021-09-16 00:25:40.686975 : Epoch  1, Batch    978, Loss  0.876856, Average Loss  0.883289, Time  0.241376
2021-09-16 00:25:40.963403 : Epoch 10, Batch    394, Loss  0.601469, Average Loss  0.599270, Time  0.236620
2021-09-16 00:25:42.488841 : Epoch 10, Batch    395, Loss  0.600436, Average Loss  0.599284, Time  0.236112
2021-09-16 00:25:43.286546 : Epoch  1, Batch    979, Loss  0.859838, Average Loss  0.883163, Time  0.240525
2021-09-16 00:25:44.015816 : Epoch 10, Batch    396, Loss  0.614128, Average Loss  0.599321, Time  0.235828
2021-09-16 00:25:45.549110 : Epoch 10, Batch    397, Loss  0.598483, Average Loss  0.599282, Time  0.236215
2021-09-16 00:25:45.886123 : Epoch  1, Batch    980, Loss  0.875950, Average Loss  0.883096, Time  0.240762
2021-09-16 00:25:47.086074 : Epoch 10, Batch    398, Loss  0.593588, Average Loss  0.599273, Time  0.239262
2021-09-16 00:25:48.473182 : Epoch  1, Batch    981, Loss  0.891804, Average Loss  0.883024, Time  0.240324
2021-09-16 00:25:48.616139 : Epoch 10, Batch    399, Loss  0.604097, Average Loss  0.599268, Time  0.238178
2021-09-16 00:25:50.147054 : Epoch 10, Batch    400, Loss  0.600169, Average Loss  0.599274, Time  0.236660
2021-09-16 00:25:51.082091 : Epoch  1, Batch    982, Loss  0.880058, Average Loss  0.882986, Time  0.240068
2021-09-16 00:25:51.676754 : Epoch 10, Batch    401, Loss  0.596016, Average Loss  0.599239, Time  0.235910
2021-09-16 00:25:53.210111 : Epoch 10, Batch    402, Loss  0.605776, Average Loss  0.599262, Time  0.236714
2021-09-16 00:25:53.674412 : Epoch  1, Batch    983, Loss  0.880852, Average Loss  0.882906, Time  0.240909
2021-09-16 00:25:54.742900 : Epoch 10, Batch    403, Loss  0.595165, Average Loss  0.599251, Time  0.236699
2021-09-16 00:25:56.261426 : Epoch  1, Batch    984, Loss  0.876490, Average Loss  0.882768, Time  0.240805
2021-09-16 00:25:56.295481 : Epoch 10, Batch    404, Loss  0.594923, Average Loss  0.599206, Time  0.236284
2021-09-16 00:25:57.497857 : CheckPoint: Validation Loss  0.00031130, Best Loss  0.00029379
2021-09-16 00:25:57.819349 : Epoch 10, Batch    405, Loss  0.600969, Average Loss  0.599260, Time  0.237687
2021-09-16 00:25:58.863899 : Epoch  1, Batch    985, Loss  0.875205, Average Loss  0.882767, Time  0.240216
2021-09-16 00:25:59.336763 : Epoch 10, Batch    406, Loss  0.599363, Average Loss  0.599228, Time  0.235908
2021-09-16 00:26:00.502352 : Epoch  4, Batch     33, Loss  0.893555, Average Loss  0.872032, Time  0.273207
2021-09-16 00:26:00.858062 : Epoch 10, Batch    407, Loss  0.602002, Average Loss  0.599246, Time  0.236120
2021-09-16 00:26:01.466423 : Epoch  1, Batch    986, Loss  0.884854, Average Loss  0.882726, Time  0.241034
2021-09-16 00:26:02.391508 : Epoch 10, Batch    408, Loss  0.605637, Average Loss  0.599349, Time  0.237210
2021-09-16 00:26:03.488215 : Epoch  4, Batch     34, Loss  0.876198, Average Loss  0.872034, Time  0.265241
2021-09-16 00:26:03.919976 : Epoch 10, Batch    409, Loss  0.609255, Average Loss  0.599393, Time  0.236091
2021-09-16 00:26:04.066412 : Epoch  1, Batch    987, Loss  0.875486, Average Loss  0.882604, Time  0.242377
2021-09-16 00:26:05.440243 : Epoch 10, Batch    410, Loss  0.613026, Average Loss  0.599410, Time  0.237521
2021-09-16 00:26:06.489600 : Epoch  4, Batch     35, Loss  0.876670, Average Loss  0.872029, Time  0.266015
2021-09-16 00:26:06.652724 : Epoch  1, Batch    988, Loss  0.870304, Average Loss  0.882490, Time  0.240204
2021-09-16 00:26:06.972379 : Epoch 10, Batch    411, Loss  0.593689, Average Loss  0.599372, Time  0.235750
2021-09-16 00:26:08.494996 : Epoch 10, Batch    412, Loss  0.597765, Average Loss  0.599358, Time  0.236002
2021-09-16 00:26:09.251983 : Epoch  1, Batch    989, Loss  0.890163, Average Loss  0.882510, Time  0.243581
2021-09-16 00:26:09.483630 : Epoch  4, Batch     36, Loss  0.888408, Average Loss  0.872049, Time  0.266006
2021-09-16 00:26:10.057740 : Epoch 10, Batch    413, Loss  0.613520, Average Loss  0.599363, Time  0.236644
2021-09-16 00:26:11.591444 : Epoch 10, Batch    414, Loss  0.593675, Average Loss  0.599283, Time  0.236545
2021-09-16 00:26:11.854191 : Epoch  1, Batch    990, Loss  0.884438, Average Loss  0.882450, Time  0.241328
2021-09-16 00:26:12.497800 : Epoch  4, Batch     37, Loss  0.854955, Average Loss  0.871947, Time  0.265741
2021-09-16 00:26:13.127684 : Epoch 10, Batch    415, Loss  0.612518, Average Loss  0.599362, Time  0.236024
2021-09-16 00:26:14.458932 : Epoch  1, Batch    991, Loss  0.876205, Average Loss  0.882365, Time  0.241432
2021-09-16 00:26:14.657195 : Epoch 10, Batch    416, Loss  0.595379, Average Loss  0.599389, Time  0.236780
2021-09-16 00:26:15.498470 : Epoch  4, Batch     38, Loss  0.878259, Average Loss  0.871951, Time  0.265430
2021-09-16 00:26:16.175014 : Epoch 10, Batch    417, Loss  0.603086, Average Loss  0.599425, Time  0.236155
2021-09-16 00:26:17.054412 : Epoch  1, Batch    992, Loss  0.866071, Average Loss  0.882369, Time  0.240108
2021-09-16 00:26:18.489125 : Epoch  4, Batch     39, Loss  0.853118, Average Loss  0.871878, Time  0.265764
2021-09-16 00:26:19.656453 : Epoch  1, Batch    993, Loss  0.859981, Average Loss  0.882323, Time  0.240484
2021-09-16 00:26:21.506270 : Epoch  4, Batch     40, Loss  0.856382, Average Loss  0.871743, Time  0.265815
2021-09-16 00:26:22.267989 : Epoch  1, Batch    994, Loss  0.867276, Average Loss  0.882173, Time  0.240911
2021-09-16 00:26:24.489576 : Epoch  4, Batch     41, Loss  0.869379, Average Loss  0.871723, Time  0.265820
2021-09-16 00:26:24.875877 : Epoch  1, Batch    995, Loss  0.886583, Average Loss  0.882194, Time  0.240423
2021-09-16 00:26:27.474730 : Epoch  1, Batch    996, Loss  0.884691, Average Loss  0.882107, Time  0.243156
2021-09-16 00:26:27.497837 : Epoch  4, Batch     42, Loss  0.891154, Average Loss  0.871765, Time  0.265113
2021-09-16 00:26:30.080833 : Epoch  1, Batch    997, Loss  0.889553, Average Loss  0.882104, Time  0.241169
2021-09-16 00:26:30.494762 : Epoch  4, Batch     43, Loss  0.844933, Average Loss  0.871533, Time  0.267144
2021-09-16 00:26:32.706064 : Epoch  1, Batch    998, Loss  0.884901, Average Loss  0.882220, Time  0.240679
2021-09-16 00:26:33.464128 : Epoch  4, Batch     44, Loss  0.858097, Average Loss  0.871484, Time  0.264962
2021-09-16 00:26:35.310831 : Epoch  1, Batch    999, Loss  0.892269, Average Loss  0.882256, Time  0.241665
2021-09-16 00:26:36.452999 : Epoch  4, Batch     45, Loss  0.875003, Average Loss  0.871422, Time  0.266835
2021-09-16 00:26:39.470652 : Epoch  4, Batch     46, Loss  0.864398, Average Loss  0.871448, Time  0.266147
2021-09-16 00:26:42.491818 : Epoch  4, Batch     47, Loss  0.866401, Average Loss  0.871355, Time  0.266682
2021-09-16 00:26:45.505560 : Epoch  4, Batch     48, Loss  0.852464, Average Loss  0.871273, Time  0.278030
2021-09-16 00:26:46.720465 : Epoch  1, Batch   1000, Loss  0.884415, Average Loss  0.882244, Time  0.271896
2021-09-16 00:26:48.483627 : Epoch  4, Batch     49, Loss  0.849191, Average Loss  0.871067, Time  0.266878
2021-09-16 00:26:51.471122 : Epoch  4, Batch     50, Loss  0.870637, Average Loss  0.871079, Time  0.265597
2021-09-16 00:26:54.440059 : Epoch  4, Batch     51, Loss  0.856069, Average Loss  0.870893, Time  0.266390
2021-09-16 00:26:57.435876 : Epoch  4, Batch     52, Loss  0.864839, Average Loss  0.870895, Time  0.266215
2021-09-16 00:27:00.452787 : Epoch  4, Batch     53, Loss  0.865866, Average Loss  0.870856, Time  0.265887
2021-09-16 00:27:03.428435 : Epoch  4, Batch     54, Loss  0.874316, Average Loss  0.870811, Time  0.265613
2021-09-16 00:27:06.409847 : Epoch  4, Batch     55, Loss  0.871230, Average Loss  0.870788, Time  0.264835
2021-09-16 00:27:09.408041 : Epoch  4, Batch     56, Loss  0.891840, Average Loss  0.870900, Time  0.266061
2021-09-16 00:27:12.392289 : Epoch  4, Batch     57, Loss  0.883631, Average Loss  0.871020, Time  0.265821
2021-09-16 00:27:13.646759 : CheckPoint: Validation Loss  0.00025317, Best Loss  0.00024058
2021-09-16 00:27:15.231204 : Epoch 10, Batch    418, Loss  0.590512, Average Loss  0.599325, Time  0.268763
2021-09-16 00:27:15.385722 : Epoch  4, Batch     58, Loss  0.884742, Average Loss  0.870976, Time  0.265661
2021-09-16 00:27:16.773128 : Epoch 10, Batch    419, Loss  0.607398, Average Loss  0.599345, Time  0.236284
2021-09-16 00:27:18.327835 : Epoch 10, Batch    420, Loss  0.605664, Average Loss  0.599381, Time  0.236617
2021-09-16 00:27:18.393602 : Epoch  4, Batch     59, Loss  0.869131, Average Loss  0.870996, Time  0.266781
2021-09-16 00:27:19.866397 : Epoch 10, Batch    421, Loss  0.588628, Average Loss  0.599337, Time  0.236294
2021-09-16 00:27:21.409318 : Epoch 10, Batch    422, Loss  0.610360, Average Loss  0.599384, Time  0.241224
2021-09-16 00:27:21.417659 : Epoch  4, Batch     60, Loss  0.888056, Average Loss  0.871049, Time  0.265339
2021-09-16 00:27:22.944987 : Epoch 10, Batch    423, Loss  0.604836, Average Loss  0.599423, Time  0.236251
2021-09-16 00:27:24.462333 : Epoch  4, Batch     61, Loss  0.842351, Average Loss  0.870938, Time  0.268115
2021-09-16 00:27:24.479011 : Epoch 10, Batch    424, Loss  0.599600, Average Loss  0.599455, Time  0.236547
2021-09-16 00:27:26.030151 : Epoch 10, Batch    425, Loss  0.602605, Average Loss  0.599430, Time  0.237104
2021-09-16 00:27:27.469360 : Epoch  4, Batch     62, Loss  0.866890, Average Loss  0.870861, Time  0.265529
2021-09-16 00:27:27.565420 : Epoch 10, Batch    426, Loss  0.615009, Average Loss  0.599562, Time  0.235680
2021-09-16 00:27:29.102010 : Epoch 10, Batch    427, Loss  0.603326, Average Loss  0.599514, Time  0.237691
2021-09-16 00:27:30.481998 : Epoch  4, Batch     63, Loss  0.869060, Average Loss  0.870954, Time  0.278885
2021-09-16 00:27:30.640736 : Epoch 10, Batch    428, Loss  0.590429, Average Loss  0.599467, Time  0.236590
2021-09-16 00:27:32.175142 : Epoch 10, Batch    429, Loss  0.611332, Average Loss  0.599548, Time  0.236686
2021-09-16 00:27:33.457146 : Epoch  4, Batch     64, Loss  0.849786, Average Loss  0.870833, Time  0.266279
2021-09-16 00:27:33.730460 : Epoch 10, Batch    430, Loss  0.606347, Average Loss  0.599512, Time  0.235671
2021-09-16 00:27:35.258145 : Epoch 10, Batch    431, Loss  0.596049, Average Loss  0.599463, Time  0.236197
2021-09-16 00:27:36.460213 : Epoch  4, Batch     65, Loss  0.892246, Average Loss  0.870919, Time  0.265826
2021-09-16 00:27:36.792026 : Epoch 10, Batch    432, Loss  0.598683, Average Loss  0.599395, Time  0.235797
2021-09-16 00:27:38.316744 : Epoch 10, Batch    433, Loss  0.606177, Average Loss  0.599441, Time  0.236365
2021-09-16 00:27:39.430260 : Epoch  4, Batch     66, Loss  0.876819, Average Loss  0.870959, Time  0.265858
2021-09-16 00:27:39.859321 : Epoch 10, Batch    434, Loss  0.609135, Average Loss  0.599425, Time  0.238597
2021-09-16 00:27:41.402937 : Epoch 10, Batch    435, Loss  0.594546, Average Loss  0.599403, Time  0.236791
2021-09-16 00:27:42.429295 : Epoch  4, Batch     67, Loss  0.878361, Average Loss  0.870971, Time  0.266298
2021-09-16 00:27:42.932496 : Epoch 10, Batch    436, Loss  0.595324, Average Loss  0.599364, Time  0.235877
2021-09-16 00:27:44.464104 : Epoch 10, Batch    437, Loss  0.614214, Average Loss  0.599472, Time  0.235749
2021-09-16 00:27:45.412077 : Epoch  4, Batch     68, Loss  0.867791, Average Loss  0.871072, Time  0.266196
2021-09-16 00:27:46.004327 : Epoch 10, Batch    438, Loss  0.599818, Average Loss  0.599492, Time  0.236998
2021-09-16 00:27:47.538408 : Epoch 10, Batch    439, Loss  0.607951, Average Loss  0.599502, Time  0.235727
2021-09-16 00:27:48.394193 : Epoch  4, Batch     69, Loss  0.850185, Average Loss  0.870944, Time  0.265700
2021-09-16 00:27:49.084316 : Epoch 10, Batch    440, Loss  0.606574, Average Loss  0.599590, Time  0.236058
2021-09-16 00:27:50.630322 : Epoch 10, Batch    441, Loss  0.601984, Average Loss  0.599583, Time  0.236172
2021-09-16 00:27:51.379481 : Epoch  4, Batch     70, Loss  0.878136, Average Loss  0.871068, Time  0.265696
2021-09-16 00:27:52.171681 : Epoch 10, Batch    442, Loss  0.585386, Average Loss  0.599536, Time  0.235656
2021-09-16 00:27:53.704595 : Epoch 10, Batch    443, Loss  0.600699, Average Loss  0.599528, Time  0.236075
2021-09-16 00:27:54.375125 : Epoch  4, Batch     71, Loss  0.865358, Average Loss  0.871074, Time  0.265994
2021-09-16 00:27:55.249332 : Epoch 10, Batch    444, Loss  0.603895, Average Loss  0.599563, Time  0.235799
2021-09-16 00:27:56.781117 : Epoch 10, Batch    445, Loss  0.607215, Average Loss  0.599564, Time  0.236188
2021-09-16 00:27:57.388403 : Epoch  4, Batch     72, Loss  0.887308, Average Loss  0.871201, Time  0.265711
2021-09-16 00:27:58.326933 : Epoch 10, Batch    446, Loss  0.605516, Average Loss  0.599599, Time  0.238078
2021-09-16 00:27:59.858037 : Epoch 10, Batch    447, Loss  0.602262, Average Loss  0.599586, Time  0.236223
2021-09-16 00:28:00.411497 : Epoch  4, Batch     73, Loss  0.874655, Average Loss  0.871228, Time  0.266564
2021-09-16 00:28:01.394417 : Epoch 10, Batch    448, Loss  0.602249, Average Loss  0.599530, Time  0.236855
2021-09-16 00:28:02.932440 : Epoch 10, Batch    449, Loss  0.604253, Average Loss  0.599568, Time  0.236674
2021-09-16 00:28:03.418288 : Epoch  4, Batch     74, Loss  0.849172, Average Loss  0.871299, Time  0.265634
2021-09-16 00:28:04.471353 : Epoch 10, Batch    450, Loss  0.597115, Average Loss  0.599581, Time  0.235800
2021-09-16 00:28:06.000265 : Epoch 10, Batch    451, Loss  0.607702, Average Loss  0.599681, Time  0.235713
2021-09-16 00:28:06.432233 : Epoch  4, Batch     75, Loss  0.870572, Average Loss  0.871245, Time  0.265869
2021-09-16 00:28:07.534240 : Epoch 10, Batch    452, Loss  0.604387, Average Loss  0.599730, Time  0.236956
2021-09-16 00:28:09.082032 : Epoch 10, Batch    453, Loss  0.604427, Average Loss  0.599754, Time  0.236201
2021-09-16 00:28:09.441246 : Epoch  4, Batch     76, Loss  0.874266, Average Loss  0.871290, Time  0.265430
2021-09-16 00:28:10.616871 : Epoch 10, Batch    454, Loss  0.601322, Average Loss  0.599758, Time  0.237965
2021-09-16 00:28:12.151306 : Epoch 10, Batch    455, Loss  0.604074, Average Loss  0.599818, Time  0.236259
2021-09-16 00:28:12.440011 : Epoch  4, Batch     77, Loss  0.865199, Average Loss  0.871285, Time  0.264763
2021-09-16 00:28:13.679711 : Epoch 10, Batch    456, Loss  0.591363, Average Loss  0.599785, Time  0.236145
2021-09-16 00:28:15.225733 : Epoch 10, Batch    457, Loss  0.606298, Average Loss  0.599810, Time  0.236025
2021-09-16 00:28:15.417965 : Epoch  4, Batch     78, Loss  0.871511, Average Loss  0.871358, Time  0.276356
2021-09-16 00:28:16.767356 : Epoch 10, Batch    458, Loss  0.612858, Average Loss  0.599840, Time  0.238440
2021-09-16 00:28:18.310034 : Epoch 10, Batch    459, Loss  0.579347, Average Loss  0.599741, Time  0.236598
2021-09-16 00:28:18.414189 : Epoch  4, Batch     79, Loss  0.864283, Average Loss  0.871352, Time  0.266788
2021-09-16 00:28:19.855480 : Epoch 10, Batch    460, Loss  0.592709, Average Loss  0.599760, Time  0.236810
2021-09-16 00:28:21.385753 : Epoch 10, Batch    461, Loss  0.603952, Average Loss  0.599805, Time  0.236171
2021-09-16 00:28:21.435549 : Epoch  4, Batch     80, Loss  0.858162, Average Loss  0.871150, Time  0.266460
2021-09-16 00:28:22.921242 : Epoch 10, Batch    462, Loss  0.608663, Average Loss  0.599835, Time  0.236573
2021-09-16 00:28:24.423937 : Epoch  4, Batch     81, Loss  0.863051, Average Loss  0.871056, Time  0.266010
2021-09-16 00:28:24.465415 : Epoch 10, Batch    463, Loss  0.605995, Average Loss  0.599912, Time  0.235903
2021-09-16 00:28:26.012935 : Epoch 10, Batch    464, Loss  0.600009, Average Loss  0.599971, Time  0.239089
2021-09-16 00:28:27.446875 : Epoch  4, Batch     82, Loss  0.873052, Average Loss  0.871109, Time  0.265634
2021-09-16 00:28:27.545959 : Epoch 10, Batch    465, Loss  0.594577, Average Loss  0.599977, Time  0.236209
2021-09-16 00:28:29.073262 : Epoch 10, Batch    466, Loss  0.602306, Average Loss  0.599949, Time  0.235815
2021-09-16 00:28:30.430067 : Epoch  4, Batch     83, Loss  0.875017, Average Loss  0.871056, Time  0.265434
2021-09-16 00:28:30.605140 : Epoch 10, Batch    467, Loss  0.596287, Average Loss  0.599952, Time  0.236916
2021-09-16 00:28:32.138161 : Epoch 10, Batch    468, Loss  0.603493, Average Loss  0.599953, Time  0.236366
2021-09-16 00:28:33.415354 : Epoch  4, Batch     84, Loss  0.859476, Average Loss  0.870900, Time  0.267607
2021-09-16 00:28:33.686383 : Epoch 10, Batch    469, Loss  0.589551, Average Loss  0.599877, Time  0.240327
2021-09-16 00:28:35.231900 : Epoch 10, Batch    470, Loss  0.603125, Average Loss  0.599916, Time  0.236041
2021-09-16 00:28:36.417046 : Epoch  4, Batch     85, Loss  0.847746, Average Loss  0.870729, Time  0.265676
2021-09-16 00:28:36.780144 : Epoch 10, Batch    471, Loss  0.602845, Average Loss  0.599932, Time  0.238982
2021-09-16 00:28:38.305577 : Epoch 10, Batch    472, Loss  0.615571, Average Loss  0.600019, Time  0.235966
2021-09-16 00:28:39.398242 : Epoch  4, Batch     86, Loss  0.867358, Average Loss  0.870790, Time  0.265783
2021-09-16 00:28:39.847157 : Epoch 10, Batch    473, Loss  0.593435, Average Loss  0.600009, Time  0.237943
2021-09-16 00:28:41.380948 : Epoch 10, Batch    474, Loss  0.608775, Average Loss  0.600025, Time  0.236279
2021-09-16 00:28:42.371631 : Epoch  4, Batch     87, Loss  0.874035, Average Loss  0.870720, Time  0.265868
2021-09-16 00:28:42.923294 : Epoch 10, Batch    475, Loss  0.603266, Average Loss  0.600005, Time  0.237556
2021-09-16 00:28:44.469863 : Epoch 10, Batch    476, Loss  0.589963, Average Loss  0.599960, Time  0.237236
2021-09-16 00:28:45.382310 : Epoch  4, Batch     88, Loss  0.887124, Average Loss  0.870811, Time  0.266294
2021-09-16 00:28:46.001424 : Epoch 10, Batch    477, Loss  0.597552, Average Loss  0.599896, Time  0.236876
2021-09-16 00:28:47.536429 : Epoch 10, Batch    478, Loss  0.607169, Average Loss  0.599945, Time  0.236809
2021-09-16 00:28:48.374620 : Epoch  4, Batch     89, Loss  0.865468, Average Loss  0.870781, Time  0.265909
2021-09-16 00:28:49.076813 : Epoch 10, Batch    479, Loss  0.605044, Average Loss  0.599925, Time  0.236194
2021-09-16 00:28:50.612442 : Epoch 10, Batch    480, Loss  0.607545, Average Loss  0.599915, Time  0.235991
2021-09-16 00:28:51.381748 : Epoch  4, Batch     90, Loss  0.884292, Average Loss  0.870953, Time  0.267164
2021-09-16 00:28:52.138463 : Epoch 10, Batch    481, Loss  0.595433, Average Loss  0.599891, Time  0.235800
2021-09-16 00:28:53.675447 : Epoch 10, Batch    482, Loss  0.595831, Average Loss  0.599913, Time  0.236617
2021-09-16 00:28:54.355452 : Epoch  4, Batch     91, Loss  0.879077, Average Loss  0.870968, Time  0.265369
2021-09-16 00:28:55.209251 : Epoch 10, Batch    483, Loss  0.594156, Average Loss  0.599884, Time  0.236575
2021-09-16 00:28:56.742216 : Epoch 10, Batch    484, Loss  0.612147, Average Loss  0.599927, Time  0.237267
2021-09-16 00:28:57.343962 : Epoch  4, Batch     92, Loss  0.891786, Average Loss  0.871029, Time  0.264927
2021-09-16 00:28:58.283003 : Epoch 10, Batch    485, Loss  0.595300, Average Loss  0.599906, Time  0.236187
2021-09-16 00:28:59.822038 : Epoch 10, Batch    486, Loss  0.601060, Average Loss  0.599891, Time  0.236815
2021-09-16 00:29:00.345978 : Epoch  4, Batch     93, Loss  0.880638, Average Loss  0.871190, Time  0.279421
2021-09-16 00:29:01.348695 : Epoch 10, Batch    487, Loss  0.606419, Average Loss  0.599959, Time  0.235844
2021-09-16 00:29:03.316869 : Epoch  4, Batch     94, Loss  0.866945, Average Loss  0.871219, Time  0.267040
2021-09-16 00:29:05.256450 : Epoch 10, Batch    488, Loss  0.611246, Average Loss  0.599951, Time  0.263823
2021-09-16 00:29:06.295546 : Epoch  4, Batch     95, Loss  0.842222, Average Loss  0.871091, Time  0.265608
2021-09-16 00:29:06.794208 : Epoch 10, Batch    489, Loss  0.611922, Average Loss  0.600093, Time  0.242355
2021-09-16 00:29:08.323091 : Epoch 10, Batch    490, Loss  0.598216, Average Loss  0.601004, Time  0.235933
2021-09-16 00:29:09.268444 : Epoch  4, Batch     96, Loss  0.863813, Average Loss  0.871075, Time  0.265927
2021-09-16 00:29:09.846368 : Epoch 10, Batch    491, Loss  0.607605, Average Loss  0.601024, Time  0.236086
2021-09-16 00:29:11.381158 : Epoch 10, Batch    492, Loss  0.596587, Average Loss  0.601001, Time  0.236073
2021-09-16 00:29:12.248852 : Epoch  4, Batch     97, Loss  0.869308, Average Loss  0.870991, Time  0.264648
2021-09-16 00:29:12.916717 : Epoch 10, Batch    493, Loss  0.603250, Average Loss  0.600984, Time  0.236599
2021-09-16 00:29:14.457085 : Epoch 10, Batch    494, Loss  0.601766, Average Loss  0.600993, Time  0.236348
2021-09-16 00:29:15.244473 : Epoch  4, Batch     98, Loss  0.861760, Average Loss  0.870874, Time  0.267433
2021-09-16 00:29:15.986917 : Epoch 10, Batch    495, Loss  0.594595, Average Loss  0.600988, Time  0.236649
2021-09-16 00:29:17.523298 : Epoch 10, Batch    496, Loss  0.593279, Average Loss  0.600939, Time  0.236081
2021-09-16 00:29:18.226561 : Epoch  4, Batch     99, Loss  0.876868, Average Loss  0.870907, Time  0.265944
2021-09-16 00:29:19.066059 : Epoch 10, Batch    497, Loss  0.616864, Average Loss  0.601090, Time  0.236084
2021-09-16 00:29:20.616962 : Epoch 10, Batch    498, Loss  0.602091, Average Loss  0.601067, Time  0.235888
2021-09-16 00:29:21.205535 : Epoch  4, Batch    100, Loss  0.885612, Average Loss  0.870876, Time  0.264856
2021-09-16 00:29:22.156615 : Epoch 10, Batch    499, Loss  0.611012, Average Loss  0.601101, Time  0.236213
2021-09-16 00:29:23.690412 : Epoch 10, Batch    500, Loss  0.603498, Average Loss  0.601171, Time  0.236536
2021-09-16 00:29:24.224200 : Epoch  4, Batch    101, Loss  0.847332, Average Loss  0.870660, Time  0.266008
2021-09-16 00:29:25.225446 : Epoch 10, Batch    501, Loss  0.590976, Average Loss  0.601141, Time  0.235919
2021-09-16 00:29:26.757402 : Epoch 10, Batch    502, Loss  0.599799, Average Loss  0.601121, Time  0.236318
2021-09-16 00:29:27.222812 : Epoch  4, Batch    102, Loss  0.863463, Average Loss  0.870539, Time  0.266932
2021-09-16 00:29:28.299448 : Epoch 10, Batch    503, Loss  0.596375, Average Loss  0.601114, Time  0.237562
2021-09-16 00:29:29.831208 : Epoch 10, Batch    504, Loss  0.602059, Average Loss  0.601112, Time  0.235975
2021-09-16 00:29:30.232647 : Epoch  4, Batch    103, Loss  0.879384, Average Loss  0.870592, Time  0.266446
2021-09-16 00:29:31.378224 : Epoch 10, Batch    505, Loss  0.612520, Average Loss  0.601183, Time  0.237855
2021-09-16 00:29:32.927157 : Epoch 10, Batch    506, Loss  0.602045, Average Loss  0.601187, Time  0.237461
2021-09-16 00:29:33.214730 : Epoch  4, Batch    104, Loss  0.871287, Average Loss  0.870774, Time  0.266656
2021-09-16 00:29:34.467344 : Epoch 10, Batch    507, Loss  0.607325, Average Loss  0.601280, Time  0.235838
2021-09-16 00:29:35.998964 : Epoch 10, Batch    508, Loss  0.614044, Average Loss  0.601363, Time  0.237626
2021-09-16 00:29:36.195256 : Epoch  4, Batch    105, Loss  0.868388, Average Loss  0.870774, Time  0.264891
2021-09-16 00:29:37.530977 : Epoch 10, Batch    509, Loss  0.605768, Average Loss  0.601373, Time  0.236300
2021-09-16 00:29:39.083088 : Epoch 10, Batch    510, Loss  0.609868, Average Loss  0.601396, Time  0.235814
2021-09-16 00:29:39.177509 : Epoch  4, Batch    106, Loss  0.860304, Average Loss  0.870740, Time  0.266302
2021-09-16 00:29:40.615604 : Epoch 10, Batch    511, Loss  0.608819, Average Loss  0.601477, Time  0.235933
2021-09-16 00:29:42.150153 : Epoch 10, Batch    512, Loss  0.611145, Average Loss  0.601487, Time  0.236928
2021-09-16 00:29:42.179171 : Epoch  4, Batch    107, Loss  0.861817, Average Loss  0.870671, Time  0.266149
2021-09-16 00:29:43.685877 : Epoch 10, Batch    513, Loss  0.595971, Average Loss  0.601437, Time  0.236256
2021-09-16 00:29:45.198526 : Epoch  4, Batch    108, Loss  0.868987, Average Loss  0.870712, Time  0.278561
2021-09-16 00:29:45.218165 : Epoch 10, Batch    514, Loss  0.598998, Average Loss  0.601429, Time  0.235977
2021-09-16 00:29:46.768977 : Epoch 10, Batch    515, Loss  0.596604, Average Loss  0.601458, Time  0.236838
2021-09-16 00:29:48.232181 : Epoch  4, Batch    109, Loss  0.852508, Average Loss  0.870656, Time  0.266907
2021-09-16 00:29:48.306904 : Epoch 10, Batch    516, Loss  0.594085, Average Loss  0.601425, Time  0.240552
2021-09-16 00:29:49.827232 : Epoch 10, Batch    517, Loss  0.614531, Average Loss  0.601468, Time  0.235966
2021-09-16 00:29:51.226294 : Epoch  4, Batch    110, Loss  0.867453, Average Loss  0.870551, Time  0.265924
2021-09-16 00:29:54.252886 : Epoch  4, Batch    111, Loss  0.861653, Average Loss  0.870534, Time  0.265505
2021-09-16 00:29:57.235488 : Epoch  4, Batch    112, Loss  0.877150, Average Loss  0.870523, Time  0.265196
2021-09-16 00:30:00.218256 : Epoch  4, Batch    113, Loss  0.865069, Average Loss  0.870505, Time  0.265905
2021-09-16 00:30:03.234887 : Epoch  4, Batch    114, Loss  0.879737, Average Loss  0.870586, Time  0.265966
2021-09-16 00:30:06.225980 : Epoch  4, Batch    115, Loss  0.879111, Average Loss  0.870733, Time  0.265326
2021-09-16 00:30:09.215361 : Epoch  4, Batch    116, Loss  0.866181, Average Loss  0.870686, Time  0.266274
2021-09-16 00:30:12.193134 : Epoch  4, Batch    117, Loss  0.848821, Average Loss  0.870593, Time  0.264978
2021-09-16 00:30:15.173471 : Epoch  4, Batch    118, Loss  0.897779, Average Loss  0.870687, Time  0.265507
2021-09-16 00:30:18.198106 : Epoch  4, Batch    119, Loss  0.899300, Average Loss  0.870858, Time  0.265058
2021-09-16 00:30:21.180702 : Epoch  4, Batch    120, Loss  0.865739, Average Loss  0.870879, Time  0.266088
2021-09-16 00:30:24.164235 : Epoch  4, Batch    121, Loss  0.875208, Average Loss  0.870943, Time  0.264266
2021-09-16 00:30:27.167170 : Epoch  4, Batch    122, Loss  0.871216, Average Loss  0.870840, Time  0.265201
2021-09-16 00:30:30.164907 : Epoch  4, Batch    123, Loss  0.869126, Average Loss  0.870732, Time  0.276996
2021-09-16 00:30:33.148640 : Epoch  4, Batch    124, Loss  0.875636, Average Loss  0.870700, Time  0.266027
2021-09-16 00:30:36.147705 : Epoch  4, Batch    125, Loss  0.859400, Average Loss  0.870745, Time  0.267361
2021-09-16 00:30:39.159879 : Epoch  4, Batch    126, Loss  0.856839, Average Loss  0.870658, Time  0.266482
2021-09-16 00:30:42.161942 : Epoch  4, Batch    127, Loss  0.856679, Average Loss  0.870619, Time  0.265856
2021-09-16 00:30:45.166047 : Epoch  4, Batch    128, Loss  0.876090, Average Loss  0.870675, Time  0.266175
2021-09-16 00:30:47.144750 : CheckPoint: Validation Loss  0.00025723, Best Loss  0.00024058
2021-09-16 00:30:48.157357 : Epoch  4, Batch    129, Loss  0.865059, Average Loss  0.870622, Time  0.265477
2021-09-16 00:30:48.232958 : CheckPoint: Validation Loss  0.00030609, Best Loss  0.00030249
2021-09-16 00:30:48.685276 : Epoch 10, Batch    518, Loss  0.599038, Average Loss  0.601519, Time  0.237607
2021-09-16 00:30:50.221099 : Epoch 10, Batch    519, Loss  0.609876, Average Loss  0.601539, Time  0.236227
2021-09-16 00:30:50.832158 : Epoch  1, Batch   1001, Loss  0.878325, Average Loss  0.882322, Time  0.241554
2021-09-16 00:30:51.147339 : Epoch  4, Batch    130, Loss  0.877253, Average Loss  0.870668, Time  0.265381
2021-09-16 00:30:51.747136 : Epoch 10, Batch    520, Loss  0.586060, Average Loss  0.601503, Time  0.236383
2021-09-16 00:30:53.285943 : Epoch 10, Batch    521, Loss  0.595833, Average Loss  0.601530, Time  0.235951
2021-09-16 00:30:53.465022 : Epoch  1, Batch   1002, Loss  0.878777, Average Loss  0.882300, Time  0.240339
2021-09-16 00:30:54.121321 : Epoch  4, Batch    131, Loss  0.873183, Average Loss  0.870757, Time  0.267071
2021-09-16 00:30:54.839029 : Epoch 10, Batch    522, Loss  0.604181, Average Loss  0.601561, Time  0.236019
2021-09-16 00:30:56.065423 : Epoch  1, Batch   1003, Loss  0.863006, Average Loss  0.882285, Time  0.241138
2021-09-16 00:30:56.376424 : Epoch 10, Batch    523, Loss  0.609639, Average Loss  0.601637, Time  0.237038
2021-09-16 00:30:57.116120 : Epoch  4, Batch    132, Loss  0.867465, Average Loss  0.870595, Time  0.266021
2021-09-16 00:30:57.919379 : Epoch 10, Batch    524, Loss  0.590462, Average Loss  0.601591, Time  0.236076
2021-09-16 00:30:58.666387 : Epoch  1, Batch   1004, Loss  0.903009, Average Loss  0.882404, Time  0.240071
2021-09-16 00:30:59.474145 : Epoch 10, Batch    525, Loss  0.609777, Average Loss  0.601587, Time  0.236467
2021-09-16 00:31:01.005448 : Epoch 10, Batch    526, Loss  0.603746, Average Loss  0.601635, Time  0.235695
2021-09-16 00:31:01.264057 : Epoch  1, Batch   1005, Loss  0.876388, Average Loss  0.882333, Time  0.240037
2021-09-16 00:31:02.544860 : Epoch 10, Batch    527, Loss  0.609617, Average Loss  0.601648, Time  0.236123
2021-09-16 00:31:03.870193 : Epoch  1, Batch   1006, Loss  0.881917, Average Loss  0.882324, Time  0.240723
2021-09-16 00:31:04.089027 : Epoch 10, Batch    528, Loss  0.604074, Average Loss  0.601654, Time  0.235803
2021-09-16 00:31:05.615169 : Epoch 10, Batch    529, Loss  0.596812, Average Loss  0.601612, Time  0.236053
2021-09-16 00:31:06.480043 : Epoch  1, Batch   1007, Loss  0.883214, Average Loss  0.882373, Time  0.240468
2021-09-16 00:31:07.148865 : Epoch 10, Batch    530, Loss  0.606792, Average Loss  0.601684, Time  0.235586
2021-09-16 00:31:08.678847 : Epoch 10, Batch    531, Loss  0.590644, Average Loss  0.601646, Time  0.236060
2021-09-16 00:31:09.088853 : Epoch  1, Batch   1008, Loss  0.880930, Average Loss  0.882339, Time  0.240436
2021-09-16 00:31:10.236974 : Epoch 10, Batch    532, Loss  0.590852, Average Loss  0.601570, Time  0.235815
2021-09-16 00:31:11.686571 : Epoch  1, Batch   1009, Loss  0.876327, Average Loss  0.882426, Time  0.240098
2021-09-16 00:31:11.778027 : Epoch 10, Batch    533, Loss  0.605795, Average Loss  0.601597, Time  0.237667
2021-09-16 00:31:13.317257 : Epoch 10, Batch    534, Loss  0.597927, Average Loss  0.601575, Time  0.238034
2021-09-16 00:31:14.288334 : Epoch  1, Batch   1010, Loss  0.886203, Average Loss  0.882445, Time  0.243895
2021-09-16 00:31:14.848088 : Epoch 10, Batch    535, Loss  0.599389, Average Loss  0.601609, Time  0.236111
2021-09-16 00:31:16.395851 : Epoch 10, Batch    536, Loss  0.603352, Average Loss  0.601641, Time  0.236711
2021-09-16 00:31:16.898851 : Epoch  1, Batch   1011, Loss  0.906240, Average Loss  0.882555, Time  0.240718
2021-09-16 00:31:17.935772 : Epoch 10, Batch    537, Loss  0.602101, Average Loss  0.601640, Time  0.236046
2021-09-16 00:31:19.469197 : Epoch 10, Batch    538, Loss  0.608291, Average Loss  0.601655, Time  0.237386
2021-09-16 00:31:19.506981 : Epoch  1, Batch   1012, Loss  0.873016, Average Loss  0.882518, Time  0.240358
2021-09-16 00:31:21.002125 : Epoch 10, Batch    539, Loss  0.601461, Average Loss  0.601669, Time  0.238019
2021-09-16 00:31:22.109068 : Epoch  1, Batch   1013, Loss  0.881081, Average Loss  0.882602, Time  0.239955
2021-09-16 00:31:22.547621 : Epoch 10, Batch    540, Loss  0.597905, Average Loss  0.601701, Time  0.238325
2021-09-16 00:31:24.070229 : Epoch 10, Batch    541, Loss  0.598065, Average Loss  0.601724, Time  0.236295
2021-09-16 00:31:24.707431 : Epoch  1, Batch   1014, Loss  0.889037, Average Loss  0.882663, Time  0.239909
2021-09-16 00:31:25.610684 : Epoch 10, Batch    542, Loss  0.597664, Average Loss  0.601684, Time  0.235561
2021-09-16 00:31:27.140113 : Epoch 10, Batch    543, Loss  0.594872, Average Loss  0.601715, Time  0.236009
2021-09-16 00:31:27.321092 : Epoch  1, Batch   1015, Loss  0.878257, Average Loss  0.882597, Time  0.240412
2021-09-16 00:31:28.675036 : Epoch 10, Batch    544, Loss  0.596433, Average Loss  0.601696, Time  0.235965
2021-09-16 00:31:29.920140 : Epoch  1, Batch   1016, Loss  0.896159, Average Loss  0.882564, Time  0.241720
2021-09-16 00:31:30.211724 : Epoch 10, Batch    545, Loss  0.601396, Average Loss  0.601694, Time  0.235846
2021-09-16 00:31:31.741897 : Epoch 10, Batch    546, Loss  0.594256, Average Loss  0.601640, Time  0.239418
2021-09-16 00:31:32.522955 : Epoch  1, Batch   1017, Loss  0.853689, Average Loss  0.882286, Time  0.240139
2021-09-16 00:31:33.281995 : Epoch 10, Batch    547, Loss  0.618778, Average Loss  0.601731, Time  0.237293
2021-09-16 00:31:34.822033 : Epoch 10, Batch    548, Loss  0.588167, Average Loss  0.601641, Time  0.236197
2021-09-16 00:31:35.126729 : Epoch  1, Batch   1018, Loss  0.874958, Average Loss  0.882237, Time  0.239786
2021-09-16 00:31:36.363030 : Epoch 10, Batch    549, Loss  0.594503, Average Loss  0.601683, Time  0.237007
2021-09-16 00:31:37.721619 : Epoch  1, Batch   1019, Loss  0.866777, Average Loss  0.882200, Time  0.240058
2021-09-16 00:31:37.902398 : Epoch 10, Batch    550, Loss  0.595868, Average Loss  0.601659, Time  0.238219
2021-09-16 00:31:39.429367 : Epoch 10, Batch    551, Loss  0.591097, Average Loss  0.601666, Time  0.239847
2021-09-16 00:31:40.331990 : Epoch  1, Batch   1020, Loss  0.887008, Average Loss  0.882209, Time  0.240671
2021-09-16 00:31:40.960128 : Epoch 10, Batch    552, Loss  0.619728, Average Loss  0.601722, Time  0.236568
2021-09-16 00:31:42.490996 : Epoch 10, Batch    553, Loss  0.602230, Average Loss  0.601708, Time  0.236272
2021-09-16 00:31:42.933977 : Epoch  1, Batch   1021, Loss  0.878018, Average Loss  0.882053, Time  0.240140
2021-09-16 00:31:44.028959 : Epoch 10, Batch    554, Loss  0.599413, Average Loss  0.601711, Time  0.235749
2021-09-16 00:31:45.552418 : Epoch  1, Batch   1022, Loss  0.864954, Average Loss  0.881942, Time  0.241034
2021-09-16 00:31:45.598464 : Epoch 10, Batch    555, Loss  0.596532, Average Loss  0.601727, Time  0.237968
2021-09-16 00:31:47.133199 : Epoch 10, Batch    556, Loss  0.595379, Average Loss  0.601676, Time  0.236016
2021-09-16 00:31:48.166916 : Epoch  1, Batch   1023, Loss  0.893908, Average Loss  0.881974, Time  0.240204
2021-09-16 00:31:48.658373 : Epoch 10, Batch    557, Loss  0.588078, Average Loss  0.601590, Time  0.235815
2021-09-16 00:31:50.191394 : Epoch 10, Batch    558, Loss  0.597621, Average Loss  0.601601, Time  0.235785
2021-09-16 00:31:50.770581 : Epoch  1, Batch   1024, Loss  0.864466, Average Loss  0.881895, Time  0.241241
2021-09-16 00:31:51.717981 : Epoch 10, Batch    559, Loss  0.609822, Average Loss  0.601675, Time  0.235976
2021-09-16 00:31:53.278102 : Epoch 10, Batch    560, Loss  0.589772, Average Loss  0.601633, Time  0.237399
2021-09-16 00:31:53.372474 : Epoch  1, Batch   1025, Loss  0.862234, Average Loss  0.881718, Time  0.239967
2021-09-16 00:31:54.822729 : Epoch 10, Batch    561, Loss  0.596213, Average Loss  0.601585, Time  0.236276
2021-09-16 00:31:55.977498 : Epoch  1, Batch   1026, Loss  0.897430, Average Loss  0.881796, Time  0.241228
2021-09-16 00:31:56.353169 : Epoch 10, Batch    562, Loss  0.591666, Average Loss  0.601539, Time  0.236613
2021-09-16 00:31:57.884414 : Epoch 10, Batch    563, Loss  0.603765, Average Loss  0.601568, Time  0.236896
2021-09-16 00:31:58.590027 : Epoch  1, Batch   1027, Loss  0.886152, Average Loss  0.881893, Time  0.240595
2021-09-16 00:31:59.430234 : Epoch 10, Batch    564, Loss  0.599706, Average Loss  0.601512, Time  0.236020
2021-09-16 00:32:00.966981 : Epoch 10, Batch    565, Loss  0.599446, Average Loss  0.601470, Time  0.236221
2021-09-16 00:32:01.192236 : Epoch  1, Batch   1028, Loss  0.882651, Average Loss  0.881887, Time  0.240609
2021-09-16 00:32:02.510126 : Epoch 10, Batch    566, Loss  0.611805, Average Loss  0.601480, Time  0.237040
2021-09-16 00:32:03.782882 : Epoch  1, Batch   1029, Loss  0.883328, Average Loss  0.881930, Time  0.240219
2021-09-16 00:32:04.040855 : Epoch 10, Batch    567, Loss  0.595635, Average Loss  0.601453, Time  0.236490
2021-09-16 00:32:05.570411 : Epoch 10, Batch    568, Loss  0.609032, Average Loss  0.601523, Time  0.238349
2021-09-16 00:32:06.439008 : Epoch  1, Batch   1030, Loss  0.882746, Average Loss  0.882019, Time  0.240958
2021-09-16 00:32:07.101976 : Epoch 10, Batch    569, Loss  0.599928, Average Loss  0.601532, Time  0.242537
2021-09-16 00:32:08.624197 : Epoch 10, Batch    570, Loss  0.598274, Average Loss  0.601486, Time  0.235964
2021-09-16 00:32:09.048507 : Epoch  1, Batch   1031, Loss  0.900613, Average Loss  0.882118, Time  0.240662
2021-09-16 00:32:10.154049 : Epoch 10, Batch    571, Loss  0.606301, Average Loss  0.601498, Time  0.236591
2021-09-16 00:32:11.652778 : Epoch  1, Batch   1032, Loss  0.866390, Average Loss  0.882060, Time  0.240813
2021-09-16 00:32:11.693419 : Epoch 10, Batch    572, Loss  0.591599, Average Loss  0.601483, Time  0.236822
2021-09-16 00:32:13.220392 : Epoch 10, Batch    573, Loss  0.601103, Average Loss  0.601478, Time  0.235841
2021-09-16 00:32:14.259796 : Epoch  1, Batch   1033, Loss  0.903522, Average Loss  0.882238, Time  0.244128
2021-09-16 00:32:14.750094 : Epoch 10, Batch    574, Loss  0.593080, Average Loss  0.601460, Time  0.237155
2021-09-16 00:32:16.276592 : Epoch 10, Batch    575, Loss  0.592589, Average Loss  0.601383, Time  0.235735
2021-09-16 00:32:16.859839 : Epoch  1, Batch   1034, Loss  0.878320, Average Loss  0.882145, Time  0.240239
2021-09-16 00:32:17.804947 : Epoch 10, Batch    576, Loss  0.599513, Average Loss  0.601416, Time  0.236914
2021-09-16 00:32:19.339423 : Epoch 10, Batch    577, Loss  0.591754, Average Loss  0.601326, Time  0.235932
2021-09-16 00:32:19.455903 : Epoch  1, Batch   1035, Loss  0.859268, Average Loss  0.882045, Time  0.240391
2021-09-16 00:32:20.880908 : Epoch 10, Batch    578, Loss  0.596222, Average Loss  0.601339, Time  0.237837
2021-09-16 00:32:22.049666 : Epoch  1, Batch   1036, Loss  0.881711, Average Loss  0.882060, Time  0.240083
2021-09-16 00:32:22.399362 : Epoch 10, Batch    579, Loss  0.608632, Average Loss  0.601357, Time  0.236646
2021-09-16 00:32:23.944829 : Epoch 10, Batch    580, Loss  0.595801, Average Loss  0.601338, Time  0.236248
2021-09-16 00:32:24.660662 : Epoch  1, Batch   1037, Loss  0.875332, Average Loss  0.882000, Time  0.240925
2021-09-16 00:32:25.467685 : Epoch 10, Batch    581, Loss  0.583781, Average Loss  0.601207, Time  0.236218
2021-09-16 00:32:27.003977 : Epoch 10, Batch    582, Loss  0.605709, Average Loss  0.601189, Time  0.238352
2021-09-16 00:32:27.262149 : Epoch  1, Batch   1038, Loss  0.901524, Average Loss  0.882105, Time  0.240900
2021-09-16 00:32:28.538448 : Epoch 10, Batch    583, Loss  0.602264, Average Loss  0.601215, Time  0.237242
2021-09-16 00:32:29.856403 : Epoch  1, Batch   1039, Loss  0.884030, Average Loss  0.882184, Time  0.240014
2021-09-16 00:32:30.074432 : Epoch 10, Batch    584, Loss  0.588383, Average Loss  0.601158, Time  0.235724
2021-09-16 00:32:31.601084 : Epoch 10, Batch    585, Loss  0.603395, Average Loss  0.601166, Time  0.236631
2021-09-16 00:32:32.457422 : Epoch  1, Batch   1040, Loss  0.883329, Average Loss  0.882105, Time  0.241079
2021-09-16 00:32:33.126808 : Epoch 10, Batch    586, Loss  0.603677, Average Loss  0.601196, Time  0.236510
2021-09-16 00:32:34.664454 : Epoch 10, Batch    587, Loss  0.620117, Average Loss  0.601273, Time  0.237483
2021-09-16 00:32:35.057263 : Epoch  1, Batch   1041, Loss  0.864851, Average Loss  0.881985, Time  0.241140
2021-09-16 00:32:37.651450 : Epoch  1, Batch   1042, Loss  0.897623, Average Loss  0.882026, Time  0.240639
2021-09-16 00:32:38.498371 : Epoch 10, Batch    588, Loss  0.597956, Average Loss  0.601271, Time  0.268752
2021-09-16 00:32:40.032139 : Epoch 10, Batch    589, Loss  0.598593, Average Loss  0.601325, Time  0.239363
2021-09-16 00:32:40.251369 : Epoch  1, Batch   1043, Loss  0.903777, Average Loss  0.882211, Time  0.240182
2021-09-16 00:32:41.578991 : Epoch 10, Batch    590, Loss  0.588702, Average Loss  0.601265, Time  0.236392
2021-09-16 00:32:42.854490 : Epoch  1, Batch   1044, Loss  0.871316, Average Loss  0.882185, Time  0.240246
2021-09-16 00:32:43.103999 : Epoch 10, Batch    591, Loss  0.604669, Average Loss  0.601277, Time  0.236798
2021-09-16 00:32:44.627612 : Epoch 10, Batch    592, Loss  0.591945, Average Loss  0.601155, Time  0.237293
2021-09-16 00:32:45.453191 : Epoch  1, Batch   1045, Loss  0.867388, Average Loss  0.882013, Time  0.240182
2021-09-16 00:32:46.152415 : Epoch 10, Batch    593, Loss  0.600099, Average Loss  0.601203, Time  0.237210
2021-09-16 00:32:47.681632 : Epoch 10, Batch    594, Loss  0.604300, Average Loss  0.601218, Time  0.235995
2021-09-16 00:32:48.058024 : Epoch  1, Batch   1046, Loss  0.867310, Average Loss  0.882001, Time  0.240053
2021-09-16 00:32:49.210229 : Epoch 10, Batch    595, Loss  0.602086, Average Loss  0.601226, Time  0.235994
2021-09-16 00:32:50.668379 : Epoch  1, Batch   1047, Loss  0.876450, Average Loss  0.881964, Time  0.241249
2021-09-16 00:32:50.739178 : Epoch 10, Batch    596, Loss  0.588516, Average Loss  0.601098, Time  0.237044
2021-09-16 00:32:52.273408 : Epoch 10, Batch    597, Loss  0.609735, Average Loss  0.601154, Time  0.235798
2021-09-16 00:32:53.265837 : Epoch  1, Batch   1048, Loss  0.880341, Average Loss  0.881903, Time  0.241474
2021-09-16 00:32:53.811623 : Epoch 10, Batch    598, Loss  0.597790, Average Loss  0.601175, Time  0.235537
2021-09-16 00:32:55.350221 : Epoch 10, Batch    599, Loss  0.596474, Average Loss  0.601137, Time  0.236795
2021-09-16 00:32:55.880473 : Epoch  1, Batch   1049, Loss  0.882392, Average Loss  0.881980, Time  0.242532
2021-09-16 00:32:56.891419 : Epoch 10, Batch    600, Loss  0.612738, Average Loss  0.601200, Time  0.235713
2021-09-16 00:32:58.422917 : Epoch 10, Batch    601, Loss  0.606514, Average Loss  0.601252, Time  0.236012
2021-09-16 00:32:58.494911 : Epoch  1, Batch   1050, Loss  0.895294, Average Loss  0.882062, Time  0.241086
2021-09-16 00:32:59.949223 : Epoch 10, Batch    602, Loss  0.593989, Average Loss  0.601193, Time  0.235741
2021-09-16 00:33:01.090860 : Epoch  1, Batch   1051, Loss  0.885730, Average Loss  0.882061, Time  0.240482
2021-09-16 00:33:01.469593 : Epoch 10, Batch    603, Loss  0.621420, Average Loss  0.601325, Time  0.235897
2021-09-16 00:33:02.997959 : Epoch 10, Batch    604, Loss  0.600878, Average Loss  0.601354, Time  0.236054
2021-09-16 00:33:03.699446 : Epoch  1, Batch   1052, Loss  0.877549, Average Loss  0.882034, Time  0.240120
2021-09-16 00:33:04.533928 : Epoch 10, Batch    605, Loss  0.612149, Average Loss  0.601410, Time  0.236097
2021-09-16 00:33:06.073936 : Epoch 10, Batch    606, Loss  0.608174, Average Loss  0.601454, Time  0.236776
2021-09-16 00:33:06.309380 : Epoch  1, Batch   1053, Loss  0.891542, Average Loss  0.882083, Time  0.240499
2021-09-16 00:33:07.611388 : Epoch 10, Batch    607, Loss  0.598602, Average Loss  0.601437, Time  0.236039
2021-09-16 00:33:08.917988 : Epoch  1, Batch   1054, Loss  0.902471, Average Loss  0.882095, Time  0.241110
2021-09-16 00:33:09.156415 : Epoch 10, Batch    608, Loss  0.599166, Average Loss  0.601405, Time  0.235687
2021-09-16 00:33:10.676963 : Epoch 10, Batch    609, Loss  0.604330, Average Loss  0.601380, Time  0.236361
2021-09-16 00:33:11.531994 : Epoch  1, Batch   1055, Loss  0.874660, Average Loss  0.882007, Time  0.243713
2021-09-16 00:33:12.205958 : Epoch 10, Batch    610, Loss  0.596665, Average Loss  0.601299, Time  0.235997
2021-09-16 00:33:13.750183 : Epoch 10, Batch    611, Loss  0.611845, Average Loss  0.601389, Time  0.240170
2021-09-16 00:33:14.139731 : Epoch  1, Batch   1056, Loss  0.896612, Average Loss  0.882237, Time  0.241271
2021-09-16 00:33:15.285425 : Epoch 10, Batch    612, Loss  0.592256, Average Loss  0.601362, Time  0.238038
2021-09-16 00:33:16.741745 : Epoch  1, Batch   1057, Loss  0.908225, Average Loss  0.882418, Time  0.240175
2021-09-16 00:33:16.816090 : Epoch 10, Batch    613, Loss  0.598229, Average Loss  0.601285, Time  0.237175
2021-09-16 00:33:18.349053 : Epoch 10, Batch    614, Loss  0.605334, Average Loss  0.601344, Time  0.236132
2021-09-16 00:33:19.344844 : Epoch  1, Batch   1058, Loss  0.888363, Average Loss  0.882462, Time  0.241619
2021-09-16 00:33:19.887657 : Epoch 10, Batch    615, Loss  0.594855, Average Loss  0.601255, Time  0.237418
2021-09-16 00:33:21.419256 : Epoch 10, Batch    616, Loss  0.599990, Average Loss  0.601278, Time  0.236560
2021-09-16 00:33:21.952036 : Epoch  1, Batch   1059, Loss  0.858756, Average Loss  0.882349, Time  0.240153
2021-09-16 00:33:22.942846 : Epoch 10, Batch    617, Loss  0.603911, Average Loss  0.601283, Time  0.236166
2021-09-16 00:33:24.551093 : Epoch  1, Batch   1060, Loss  0.873496, Average Loss  0.882266, Time  0.240566
2021-09-16 00:33:27.147721 : Epoch  1, Batch   1061, Loss  0.889303, Average Loss  0.882306, Time  0.241832
2021-09-16 00:33:29.755005 : Epoch  1, Batch   1062, Loss  0.874547, Average Loss  0.882187, Time  0.242199
2021-09-16 00:33:32.352246 : Epoch  1, Batch   1063, Loss  0.867940, Average Loss  0.881964, Time  0.240249
2021-09-16 00:33:34.951109 : Epoch  1, Batch   1064, Loss  0.871887, Average Loss  0.881881, Time  0.242473
2021-09-16 00:33:37.548604 : Epoch  1, Batch   1065, Loss  0.888619, Average Loss  0.881899, Time  0.241048
2021-09-16 00:33:40.158872 : Epoch  1, Batch   1066, Loss  0.899953, Average Loss  0.882053, Time  0.245762
2021-09-16 00:33:42.756207 : Epoch  1, Batch   1067, Loss  0.874795, Average Loss  0.881925, Time  0.239920
2021-09-16 00:33:45.355139 : Epoch  1, Batch   1068, Loss  0.851059, Average Loss  0.881836, Time  0.240473
2021-09-16 00:33:47.957306 : Epoch  1, Batch   1069, Loss  0.882709, Average Loss  0.881855, Time  0.240203
2021-09-16 00:33:50.562486 : Epoch  1, Batch   1070, Loss  0.850640, Average Loss  0.881678, Time  0.241050
2021-09-16 00:33:53.158082 : Epoch  1, Batch   1071, Loss  0.896329, Average Loss  0.881757, Time  0.240657
2021-09-16 00:33:55.757175 : Epoch  1, Batch   1072, Loss  0.890238, Average Loss  0.881805, Time  0.242154
2021-09-16 00:33:58.365910 : Epoch  1, Batch   1073, Loss  0.881391, Average Loss  0.881808, Time  0.240573
2021-09-16 00:34:00.967207 : Epoch  1, Batch   1074, Loss  0.868643, Average Loss  0.881767, Time  0.240053
2021-09-16 00:34:03.584241 : Epoch  1, Batch   1075, Loss  0.874295, Average Loss  0.881620, Time  0.241958
2021-09-16 00:34:06.195428 : Epoch  1, Batch   1076, Loss  0.869531, Average Loss  0.881414, Time  0.240251
2021-09-16 00:34:08.803281 : Epoch  1, Batch   1077, Loss  0.868496, Average Loss  0.881292, Time  0.240358
2021-09-16 00:34:11.406425 : Epoch  1, Batch   1078, Loss  0.873605, Average Loss  0.881331, Time  0.240441
2021-09-16 00:34:14.013943 : Epoch  1, Batch   1079, Loss  0.849656, Average Loss  0.881181, Time  0.241024
2021-09-16 00:34:16.610284 : Epoch  1, Batch   1080, Loss  0.884628, Average Loss  0.881171, Time  0.240564
2021-09-16 00:34:19.208880 : Epoch  1, Batch   1081, Loss  0.879660, Average Loss  0.881117, Time  0.240190
2021-09-16 00:34:20.535762 : CheckPoint: Validation Loss  0.00025265, Best Loss  0.00024058
2021-09-16 00:34:21.813162 : Epoch  1, Batch   1082, Loss  0.844327, Average Loss  0.881032, Time  0.240278
2021-09-16 00:34:22.105147 : Epoch 10, Batch    618, Loss  0.588383, Average Loss  0.601272, Time  0.268977
2021-09-16 00:34:23.631907 : Epoch 10, Batch    619, Loss  0.594723, Average Loss  0.601208, Time  0.248719
2021-09-16 00:34:24.400262 : Epoch  1, Batch   1083, Loss  0.901006, Average Loss  0.881156, Time  0.240150
2021-09-16 00:34:25.159980 : Epoch 10, Batch    620, Loss  0.612634, Average Loss  0.601243, Time  0.235699
2021-09-16 00:34:26.694480 : Epoch 10, Batch    621, Loss  0.606344, Average Loss  0.601332, Time  0.235894
2021-09-16 00:34:27.003419 : Epoch  1, Batch   1084, Loss  0.893783, Average Loss  0.881170, Time  0.240317
2021-09-16 00:34:28.235687 : Epoch 10, Batch    622, Loss  0.610011, Average Loss  0.601330, Time  0.235778
2021-09-16 00:34:29.601630 : Epoch  1, Batch   1085, Loss  0.863745, Average Loss  0.881047, Time  0.240478
2021-09-16 00:34:29.759130 : Epoch 10, Batch    623, Loss  0.586906, Average Loss  0.601241, Time  0.236470
2021-09-16 00:34:31.277138 : Epoch 10, Batch    624, Loss  0.602510, Average Loss  0.601255, Time  0.237190
2021-09-16 00:34:32.196385 : Epoch  1, Batch   1086, Loss  0.885130, Average Loss  0.881036, Time  0.241191
2021-09-16 00:34:32.815372 : Epoch 10, Batch    625, Loss  0.600766, Average Loss  0.601246, Time  0.236874
2021-09-16 00:34:34.348684 : Epoch 10, Batch    626, Loss  0.603615, Average Loss  0.601189, Time  0.238477
2021-09-16 00:34:34.790490 : Epoch  1, Batch   1087, Loss  0.873013, Average Loss  0.880994, Time  0.240576
2021-09-16 00:34:35.883855 : Epoch 10, Batch    627, Loss  0.601044, Average Loss  0.601178, Time  0.237804
2021-09-16 00:34:37.381911 : Epoch  1, Batch   1088, Loss  0.851048, Average Loss  0.880904, Time  0.240228
2021-09-16 00:34:37.417816 : Epoch 10, Batch    628, Loss  0.606621, Average Loss  0.601258, Time  0.241076
2021-09-16 00:34:38.940177 : Epoch 10, Batch    629, Loss  0.601527, Average Loss  0.601209, Time  0.236368
2021-09-16 00:34:39.984577 : Epoch  1, Batch   1089, Loss  0.869243, Average Loss  0.880807, Time  0.240243
2021-09-16 00:34:40.470860 : Epoch 10, Batch    630, Loss  0.604591, Average Loss  0.601201, Time  0.235961
2021-09-16 00:34:41.976992 : Epoch 10, Batch    631, Loss  0.592075, Average Loss  0.601181, Time  0.236073
2021-09-16 00:34:42.593425 : Epoch  1, Batch   1090, Loss  0.853062, Average Loss  0.880720, Time  0.242582
2021-09-16 00:34:43.502888 : Epoch 10, Batch    632, Loss  0.594617, Average Loss  0.601160, Time  0.235915
2021-09-16 00:34:45.038480 : Epoch 10, Batch    633, Loss  0.594448, Average Loss  0.601102, Time  0.236436
2021-09-16 00:34:45.197435 : Epoch  1, Batch   1091, Loss  0.891357, Average Loss  0.880756, Time  0.239981
2021-09-16 00:34:46.565222 : Epoch 10, Batch    634, Loss  0.593290, Average Loss  0.601023, Time  0.235977
2021-09-16 00:34:47.807140 : Epoch  1, Batch   1092, Loss  0.876944, Average Loss  0.880792, Time  0.239998
2021-09-16 00:34:48.097090 : Epoch 10, Batch    635, Loss  0.588120, Average Loss  0.600990, Time  0.236269
2021-09-16 00:34:49.612280 : Epoch 10, Batch    636, Loss  0.601446, Average Loss  0.601021, Time  0.236085
2021-09-16 00:34:50.411969 : Epoch  1, Batch   1093, Loss  0.869113, Average Loss  0.880677, Time  0.241250
2021-09-16 00:34:51.148004 : Epoch 10, Batch    637, Loss  0.605820, Average Loss  0.600979, Time  0.236032
2021-09-16 00:34:52.677098 : Epoch 10, Batch    638, Loss  0.604858, Average Loss  0.601004, Time  0.236876
2021-09-16 00:34:53.011715 : Epoch  1, Batch   1094, Loss  0.874324, Average Loss  0.880645, Time  0.239909
2021-09-16 00:34:54.208194 : Epoch 10, Batch    639, Loss  0.609142, Average Loss  0.601010, Time  0.236275
2021-09-16 00:34:55.631441 : Epoch  1, Batch   1095, Loss  0.886678, Average Loss  0.880560, Time  0.240792
2021-09-16 00:34:55.736255 : Epoch 10, Batch    640, Loss  0.603367, Average Loss  0.600994, Time  0.236869
2021-09-16 00:34:57.256254 : Epoch 10, Batch    641, Loss  0.617786, Average Loss  0.601073, Time  0.236506
2021-09-16 00:34:58.255413 : Epoch  1, Batch   1096, Loss  0.893430, Average Loss  0.880502, Time  0.241432
2021-09-16 00:34:58.796032 : Epoch 10, Batch    642, Loss  0.602547, Average Loss  0.601159, Time  0.235891
2021-09-16 00:35:00.326865 : Epoch 10, Batch    643, Loss  0.604253, Average Loss  0.601177, Time  0.235829
2021-09-16 00:35:00.862712 : Epoch  1, Batch   1097, Loss  0.919147, Average Loss  0.880623, Time  0.240973
2021-09-16 00:35:01.852450 : Epoch 10, Batch    644, Loss  0.609462, Average Loss  0.601205, Time  0.235960
2021-09-16 00:35:03.394411 : Epoch 10, Batch    645, Loss  0.603898, Average Loss  0.601188, Time  0.235852
2021-09-16 00:35:03.466116 : Epoch  1, Batch   1098, Loss  0.873654, Average Loss  0.880570, Time  0.240979
2021-09-16 00:35:04.930984 : Epoch 10, Batch    646, Loss  0.603673, Average Loss  0.601179, Time  0.235825
2021-09-16 00:35:06.056198 : Epoch  1, Batch   1099, Loss  0.872973, Average Loss  0.880482, Time  0.240383
2021-09-16 00:35:06.448868 : Epoch 10, Batch    647, Loss  0.595044, Average Loss  0.601143, Time  0.236469
2021-09-16 00:35:07.964298 : Epoch 10, Batch    648, Loss  0.607988, Average Loss  0.601171, Time  0.235956
2021-09-16 00:35:08.663713 : Epoch  1, Batch   1100, Loss  0.902349, Average Loss  0.880636, Time  0.240145
2021-09-16 00:35:09.489383 : Epoch 10, Batch    649, Loss  0.602837, Average Loss  0.601164, Time  0.237025
2021-09-16 00:35:11.007407 : Epoch 10, Batch    650, Loss  0.585299, Average Loss  0.601105, Time  0.236559
2021-09-16 00:35:12.521721 : Epoch 10, Batch    651, Loss  0.603827, Average Loss  0.601086, Time  0.235671
2021-09-16 00:35:14.038886 : Epoch 10, Batch    652, Loss  0.604461, Average Loss  0.601086, Time  0.236514
2021-09-16 00:35:15.553123 : Epoch 10, Batch    653, Loss  0.605696, Average Loss  0.601093, Time  0.236806
2021-09-16 00:35:17.071902 : Epoch 10, Batch    654, Loss  0.596780, Average Loss  0.601070, Time  0.236531
2021-09-16 00:35:18.596138 : Epoch 10, Batch    655, Loss  0.591506, Average Loss  0.601007, Time  0.236382
2021-09-16 00:35:20.128918 : Epoch 10, Batch    656, Loss  0.600517, Average Loss  0.601053, Time  0.236760
2021-09-16 00:35:21.656634 : Epoch 10, Batch    657, Loss  0.600451, Average Loss  0.601024, Time  0.235841
2021-09-16 00:35:23.197204 : Epoch 10, Batch    658, Loss  0.607191, Average Loss  0.600995, Time  0.237930
2021-09-16 00:35:24.738098 : Epoch 10, Batch    659, Loss  0.595731, Average Loss  0.601077, Time  0.236412
2021-09-16 00:35:26.272912 : Epoch 10, Batch    660, Loss  0.608653, Average Loss  0.601157, Time  0.237242
2021-09-16 00:35:27.811425 : Epoch 10, Batch    661, Loss  0.596347, Average Loss  0.601119, Time  0.236759
2021-09-16 00:35:29.334973 : Epoch 10, Batch    662, Loss  0.593850, Average Loss  0.601045, Time  0.235884
2021-09-16 00:35:30.859262 : Epoch 10, Batch    663, Loss  0.596845, Average Loss  0.600999, Time  0.236133
2021-09-16 00:35:32.381868 : Epoch 10, Batch    664, Loss  0.600289, Average Loss  0.601000, Time  0.235871
2021-09-16 00:35:33.912413 : Epoch 10, Batch    665, Loss  0.612348, Average Loss  0.601089, Time  0.239067
2021-09-16 00:35:35.440878 : Epoch 10, Batch    666, Loss  0.606866, Average Loss  0.601112, Time  0.235848
2021-09-16 00:35:36.804381 : CheckPoint: Validation Loss  0.00030451, Best Loss  0.00029379
2021-09-16 00:35:36.967870 : Epoch 10, Batch    667, Loss  0.600965, Average Loss  0.601136, Time  0.236018
2021-09-16 00:35:38.484804 : Epoch 10, Batch    668, Loss  0.591190, Average Loss  0.601074, Time  0.236536
2021-09-16 00:35:39.814429 : Epoch  4, Batch    133, Loss  0.881164, Average Loss  0.870656, Time  0.266788
2021-09-16 00:35:40.010123 : Epoch 10, Batch    669, Loss  0.603250, Average Loss  0.601142, Time  0.237121
2021-09-16 00:35:41.523903 : Epoch 10, Batch    670, Loss  0.607291, Average Loss  0.601163, Time  0.236465
2021-09-16 00:35:42.810539 : Epoch  4, Batch    134, Loss  0.878282, Average Loss  0.870736, Time  0.264153
2021-09-16 00:35:43.056133 : Epoch 10, Batch    671, Loss  0.595832, Average Loss  0.601128, Time  0.237147
2021-09-16 00:35:44.575382 : Epoch 10, Batch    672, Loss  0.607219, Average Loss  0.601087, Time  0.235840
2021-09-16 00:35:45.809947 : Epoch  4, Batch    135, Loss  0.870563, Average Loss  0.870785, Time  0.265738
2021-09-16 00:35:46.100098 : Epoch 10, Batch    673, Loss  0.601979, Average Loss  0.601129, Time  0.236074
2021-09-16 00:35:47.608240 : Epoch 10, Batch    674, Loss  0.592971, Average Loss  0.601050, Time  0.236658
2021-09-16 00:35:48.814846 : Epoch  4, Batch    136, Loss  0.877438, Average Loss  0.870888, Time  0.265507
2021-09-16 00:35:49.127948 : Epoch 10, Batch    675, Loss  0.597186, Average Loss  0.601020, Time  0.235825
2021-09-16 00:35:50.642964 : Epoch 10, Batch    676, Loss  0.598080, Average Loss  0.601060, Time  0.236004
2021-09-16 00:35:51.822698 : Epoch  4, Batch    137, Loss  0.866697, Average Loss  0.870842, Time  0.278919
2021-09-16 00:35:52.168428 : Epoch 10, Batch    677, Loss  0.603160, Average Loss  0.601088, Time  0.236289
2021-09-16 00:35:53.681931 : Epoch 10, Batch    678, Loss  0.610298, Average Loss  0.601104, Time  0.236302
2021-09-16 00:35:54.828612 : Epoch  4, Batch    138, Loss  0.872703, Average Loss  0.870899, Time  0.265583
2021-09-16 00:35:55.220104 : Epoch 10, Batch    679, Loss  0.597317, Average Loss  0.601065, Time  0.237237
2021-09-16 00:35:56.735769 : Epoch 10, Batch    680, Loss  0.603170, Average Loss  0.601044, Time  0.236162
2021-09-16 00:35:57.820616 : Epoch  4, Batch    139, Loss  0.858180, Average Loss  0.870742, Time  0.265773
2021-09-16 00:35:58.268063 : Epoch 10, Batch    681, Loss  0.606678, Average Loss  0.601100, Time  0.235892
2021-09-16 00:35:59.775442 : Epoch 10, Batch    682, Loss  0.602964, Average Loss  0.601135, Time  0.235876
2021-09-16 00:36:00.803256 : Epoch  4, Batch    140, Loss  0.888136, Average Loss  0.870784, Time  0.264973
2021-09-16 00:36:01.298329 : Epoch 10, Batch    683, Loss  0.600881, Average Loss  0.601169, Time  0.237676
2021-09-16 00:36:02.811860 : Epoch 10, Batch    684, Loss  0.595796, Average Loss  0.601087, Time  0.235994
2021-09-16 00:36:03.801209 : Epoch  4, Batch    141, Loss  0.848988, Average Loss  0.870707, Time  0.266375
2021-09-16 00:36:04.337844 : Epoch 10, Batch    685, Loss  0.600143, Average Loss  0.601112, Time  0.236017
2021-09-16 00:36:05.869244 : Epoch 10, Batch    686, Loss  0.589122, Average Loss  0.601052, Time  0.236392
2021-09-16 00:36:06.821318 : Epoch  4, Batch    142, Loss  0.864887, Average Loss  0.870583, Time  0.266334
2021-09-16 00:36:07.386316 : Epoch 10, Batch    687, Loss  0.617394, Average Loss  0.601107, Time  0.236403
2021-09-16 00:36:09.813079 : Epoch  4, Batch    143, Loss  0.871554, Average Loss  0.870677, Time  0.267112
2021-09-16 00:36:11.213201 : Epoch 10, Batch    688, Loss  0.589107, Average Loss  0.600996, Time  0.271585
2021-09-16 00:36:12.753536 : Epoch 10, Batch    689, Loss  0.605624, Average Loss  0.600965, Time  0.250687
2021-09-16 00:36:12.822256 : Epoch  4, Batch    144, Loss  0.870175, Average Loss  0.870647, Time  0.265901
2021-09-16 00:36:14.283242 : Epoch 10, Batch    690, Loss  0.605676, Average Loss  0.601002, Time  0.236145
2021-09-16 00:36:15.816440 : Epoch 10, Batch    691, Loss  0.603477, Average Loss  0.600981, Time  0.235777
2021-09-16 00:36:15.841727 : Epoch  4, Batch    145, Loss  0.873813, Average Loss  0.870629, Time  0.266304
2021-09-16 00:36:17.366991 : Epoch 10, Batch    692, Loss  0.603325, Average Loss  0.601015, Time  0.236635
2021-09-16 00:36:18.840564 : Epoch  4, Batch    146, Loss  0.854484, Average Loss  0.870405, Time  0.265573
2021-09-16 00:36:18.892285 : Epoch 10, Batch    693, Loss  0.614512, Average Loss  0.601071, Time  0.236233
2021-09-16 00:36:20.427902 : Epoch 10, Batch    694, Loss  0.600486, Average Loss  0.601065, Time  0.237675
2021-09-16 00:36:21.841177 : Epoch  4, Batch    147, Loss  0.869509, Average Loss  0.870298, Time  0.268002
2021-09-16 00:36:21.975083 : Epoch 10, Batch    695, Loss  0.599374, Average Loss  0.601089, Time  0.238425
2021-09-16 00:36:23.490324 : Epoch 10, Batch    696, Loss  0.587100, Average Loss  0.601058, Time  0.235702
2021-09-16 00:36:24.866652 : Epoch  4, Batch    148, Loss  0.873172, Average Loss  0.870279, Time  0.267950
2021-09-16 00:36:25.025831 : Epoch 10, Batch    697, Loss  0.606339, Average Loss  0.601005, Time  0.236816
2021-09-16 00:36:26.553223 : Epoch 10, Batch    698, Loss  0.590495, Average Loss  0.600947, Time  0.236031
2021-09-16 00:36:27.874530 : Epoch  4, Batch    149, Loss  0.892966, Average Loss  0.870328, Time  0.265115
2021-09-16 00:36:28.084902 : Epoch 10, Batch    699, Loss  0.605125, Average Loss  0.600918, Time  0.236691
2021-09-16 00:36:29.621276 : Epoch 10, Batch    700, Loss  0.605238, Average Loss  0.600926, Time  0.235915
2021-09-16 00:36:30.907885 : Epoch  4, Batch    150, Loss  0.869217, Average Loss  0.870254, Time  0.266244
2021-09-16 00:36:31.144482 : Epoch 10, Batch    701, Loss  0.590854, Average Loss  0.600926, Time  0.236329
2021-09-16 00:36:32.667664 : Epoch 10, Batch    702, Loss  0.613438, Average Loss  0.600994, Time  0.237019
2021-09-16 00:36:33.939447 : Epoch  4, Batch    151, Loss  0.883559, Average Loss  0.870386, Time  0.266511
2021-09-16 00:36:34.206825 : Epoch 10, Batch    703, Loss  0.611685, Average Loss  0.601071, Time  0.237616
2021-09-16 00:36:35.735486 : Epoch 10, Batch    704, Loss  0.601030, Average Loss  0.601065, Time  0.235924
2021-09-16 00:36:36.943660 : Epoch  4, Batch    152, Loss  0.875660, Average Loss  0.870457, Time  0.278148
2021-09-16 00:36:37.268110 : Epoch 10, Batch    705, Loss  0.599689, Average Loss  0.601001, Time  0.236511
2021-09-16 00:36:38.788826 : Epoch 10, Batch    706, Loss  0.608404, Average Loss  0.601033, Time  0.236093
2021-09-16 00:36:39.937871 : Epoch  4, Batch    153, Loss  0.866552, Average Loss  0.870448, Time  0.265949
2021-09-16 00:36:40.317674 : Epoch 10, Batch    707, Loss  0.598230, Average Loss  0.600988, Time  0.235749
2021-09-16 00:36:41.847404 : Epoch 10, Batch    708, Loss  0.610513, Average Loss  0.600970, Time  0.235745
2021-09-16 00:36:42.937411 : Epoch  4, Batch    154, Loss  0.859552, Average Loss  0.870355, Time  0.264900
2021-09-16 00:36:43.378492 : Epoch 10, Batch    709, Loss  0.600271, Average Loss  0.600942, Time  0.236555
2021-09-16 00:36:44.899363 : Epoch 10, Batch    710, Loss  0.604113, Average Loss  0.600914, Time  0.236233
2021-09-16 00:36:45.923083 : Epoch  4, Batch    155, Loss  0.862277, Average Loss  0.870317, Time  0.266536
2021-09-16 00:36:46.444061 : Epoch 10, Batch    711, Loss  0.608952, Average Loss  0.600914, Time  0.236910
2021-09-16 00:36:47.988914 : Epoch 10, Batch    712, Loss  0.603823, Average Loss  0.600878, Time  0.239045
2021-09-16 00:36:48.931065 : Epoch  4, Batch    156, Loss  0.863064, Average Loss  0.870299, Time  0.265586
2021-09-16 00:36:49.526712 : Epoch 10, Batch    713, Loss  0.599137, Average Loss  0.600894, Time  0.236503
2021-09-16 00:36:51.093001 : Epoch 10, Batch    714, Loss  0.598839, Average Loss  0.600893, Time  0.236255
2021-09-16 00:36:51.913813 : Epoch  4, Batch    157, Loss  0.836760, Average Loss  0.870132, Time  0.264800
2021-09-16 00:36:52.630796 : Epoch 10, Batch    715, Loss  0.590413, Average Loss  0.600862, Time  0.237852
2021-09-16 00:36:54.165286 : Epoch 10, Batch    716, Loss  0.590580, Average Loss  0.600844, Time  0.236253
2021-09-16 00:36:54.900801 : Epoch  4, Batch    158, Loss  0.835829, Average Loss  0.869983, Time  0.265989
2021-09-16 00:36:55.700920 : Epoch 10, Batch    717, Loss  0.601575, Average Loss  0.600780, Time  0.236227
2021-09-16 00:36:57.914211 : Epoch  4, Batch    159, Loss  0.869487, Average Loss  0.869898, Time  0.266135
2021-09-16 00:37:00.936366 : Epoch  4, Batch    160, Loss  0.868089, Average Loss  0.869828, Time  0.266066
2021-09-16 00:37:03.953200 : Epoch  4, Batch    161, Loss  0.884481, Average Loss  0.869765, Time  0.265388
2021-09-16 00:37:06.977149 : Epoch  4, Batch    162, Loss  0.853895, Average Loss  0.869603, Time  0.265895
2021-09-16 00:37:10.002326 : Epoch  4, Batch    163, Loss  0.852565, Average Loss  0.869553, Time  0.267764
2021-09-16 00:37:12.994270 : Epoch  4, Batch    164, Loss  0.840384, Average Loss  0.869422, Time  0.265494
2021-09-16 00:37:16.002172 : Epoch  4, Batch    165, Loss  0.857841, Average Loss  0.869330, Time  0.265657
2021-09-16 00:37:19.031110 : Epoch  4, Batch    166, Loss  0.860515, Average Loss  0.869344, Time  0.266891
2021-09-16 00:37:22.028107 : Epoch  4, Batch    167, Loss  0.884072, Average Loss  0.869411, Time  0.272151
2021-09-16 00:37:25.058035 : Epoch  4, Batch    168, Loss  0.866201, Average Loss  0.869334, Time  0.266426
2021-09-16 00:37:28.100108 : Epoch  4, Batch    169, Loss  0.829758, Average Loss  0.869112, Time  0.265709
2021-09-16 00:37:31.107208 : Epoch  4, Batch    170, Loss  0.860605, Average Loss  0.869077, Time  0.265356
2021-09-16 00:37:34.091621 : Epoch  4, Batch    171, Loss  0.870556, Average Loss  0.869104, Time  0.265784
2021-09-16 00:37:37.074647 : Epoch  4, Batch    172, Loss  0.858981, Average Loss  0.869180, Time  0.265371
2021-09-16 00:37:40.053656 : Epoch  4, Batch    173, Loss  0.881386, Average Loss  0.869248, Time  0.264001
2021-09-16 00:37:43.034951 : Epoch  4, Batch    174, Loss  0.881463, Average Loss  0.869308, Time  0.265545
2021-09-16 00:37:46.033555 : Epoch  4, Batch    175, Loss  0.877751, Average Loss  0.869326, Time  0.265182
2021-09-16 00:37:49.034627 : Epoch  4, Batch    176, Loss  0.876209, Average Loss  0.869399, Time  0.265301
2021-09-16 00:37:52.038070 : Epoch  4, Batch    177, Loss  0.866255, Average Loss  0.869391, Time  0.266556
2021-09-16 00:37:53.268432 : CheckPoint: Validation Loss  0.00025591, Best Loss  0.00024058
2021-09-16 00:37:54.845305 : Epoch 10, Batch    718, Loss  0.600077, Average Loss  0.600785, Time  0.268705
2021-09-16 00:37:55.068724 : Epoch  4, Batch    178, Loss  0.882422, Average Loss  0.869455, Time  0.266275
2021-09-16 00:37:56.376906 : Epoch 10, Batch    719, Loss  0.599904, Average Loss  0.600735, Time  0.237375
2021-09-16 00:37:57.908344 : Epoch 10, Batch    720, Loss  0.588681, Average Loss  0.600748, Time  0.235595
2021-09-16 00:37:58.050121 : Epoch  4, Batch    179, Loss  0.874768, Average Loss  0.869438, Time  0.265388
2021-09-16 00:37:59.443281 : Epoch 10, Batch    721, Loss  0.590603, Average Loss  0.600722, Time  0.236778
2021-09-16 00:38:00.972724 : Epoch 10, Batch    722, Loss  0.597239, Average Loss  0.600687, Time  0.235890
2021-09-16 00:38:01.035523 : Epoch  4, Batch    180, Loss  0.880376, Average Loss  0.869592, Time  0.265369
2021-09-16 00:38:02.493698 : Epoch 10, Batch    723, Loss  0.603761, Average Loss  0.600658, Time  0.236909
2021-09-16 00:38:04.019307 : Epoch  4, Batch    181, Loss  0.858653, Average Loss  0.869548, Time  0.266030
2021-09-16 00:38:04.028905 : Epoch 10, Batch    724, Loss  0.605315, Average Loss  0.600732, Time  0.237131
2021-09-16 00:38:05.576881 : Epoch 10, Batch    725, Loss  0.598085, Average Loss  0.600674, Time  0.237611
2021-09-16 00:38:07.062982 : Epoch  4, Batch    182, Loss  0.855464, Average Loss  0.869456, Time  0.276824
2021-09-16 00:38:07.106222 : Epoch 10, Batch    726, Loss  0.593377, Average Loss  0.600622, Time  0.236717
2021-09-16 00:38:08.643921 : Epoch 10, Batch    727, Loss  0.606851, Average Loss  0.600608, Time  0.238036
2021-09-16 00:38:10.090554 : Epoch  4, Batch    183, Loss  0.885345, Average Loss  0.869548, Time  0.268888
2021-09-16 00:38:10.180285 : Epoch 10, Batch    728, Loss  0.609114, Average Loss  0.600633, Time  0.236636
2021-09-16 00:38:11.702207 : Epoch 10, Batch    729, Loss  0.599075, Average Loss  0.600644, Time  0.236402
2021-09-16 00:38:13.136052 : Epoch  4, Batch    184, Loss  0.857086, Average Loss  0.869474, Time  0.266916
2021-09-16 00:38:13.230573 : Epoch 10, Batch    730, Loss  0.589954, Average Loss  0.600560, Time  0.236377
2021-09-16 00:38:14.754413 : Epoch 10, Batch    731, Loss  0.613909, Average Loss  0.600677, Time  0.236220
2021-09-16 00:38:16.170042 : Epoch  4, Batch    185, Loss  0.876367, Average Loss  0.869584, Time  0.266810
2021-09-16 00:38:16.277392 : Epoch 10, Batch    732, Loss  0.603457, Average Loss  0.600740, Time  0.235760
2021-09-16 00:38:17.803916 : Epoch 10, Batch    733, Loss  0.593212, Average Loss  0.600677, Time  0.235745
2021-09-16 00:38:19.159768 : Epoch  4, Batch    186, Loss  0.879042, Average Loss  0.869594, Time  0.266497
2021-09-16 00:38:19.333920 : Epoch 10, Batch    734, Loss  0.607662, Average Loss  0.600725, Time  0.235922
2021-09-16 00:38:20.851508 : Epoch 10, Batch    735, Loss  0.595803, Average Loss  0.600707, Time  0.235671
2021-09-16 00:38:22.173375 : Epoch  4, Batch    187, Loss  0.876770, Average Loss  0.869590, Time  0.266272
2021-09-16 00:38:22.377265 : Epoch 10, Batch    736, Loss  0.613814, Average Loss  0.600760, Time  0.237345
2021-09-16 00:38:23.904434 : Epoch 10, Batch    737, Loss  0.599967, Average Loss  0.600749, Time  0.237046
2021-09-16 00:38:25.176392 : Epoch  4, Batch    188, Loss  0.868490, Average Loss  0.869570, Time  0.265547
2021-09-16 00:38:25.427894 : Epoch 10, Batch    738, Loss  0.614154, Average Loss  0.600778, Time  0.236003
2021-09-16 00:38:26.966234 : Epoch 10, Batch    739, Loss  0.586352, Average Loss  0.600703, Time  0.237751
2021-09-16 00:38:28.168077 : Epoch  4, Batch    189, Loss  0.894980, Average Loss  0.869698, Time  0.265660
2021-09-16 00:38:28.503899 : Epoch 10, Batch    740, Loss  0.596903, Average Loss  0.600698, Time  0.236768
2021-09-16 00:38:30.029456 : Epoch 10, Batch    741, Loss  0.597690, Average Loss  0.600696, Time  0.237239
2021-09-16 00:38:31.165647 : Epoch  4, Batch    190, Loss  0.879994, Average Loss  0.869681, Time  0.265616
2021-09-16 00:38:31.568407 : Epoch 10, Batch    742, Loss  0.603708, Average Loss  0.600726, Time  0.236131
2021-09-16 00:38:33.079983 : Epoch 10, Batch    743, Loss  0.603475, Average Loss  0.600769, Time  0.236599
2021-09-16 00:38:34.170770 : Epoch  4, Batch    191, Loss  0.880041, Average Loss  0.869688, Time  0.265536
2021-09-16 00:38:34.610222 : Epoch 10, Batch    744, Loss  0.608705, Average Loss  0.600830, Time  0.236709
2021-09-16 00:38:36.130179 : Epoch 10, Batch    745, Loss  0.601078, Average Loss  0.600829, Time  0.237482
2021-09-16 00:38:37.158801 : Epoch  4, Batch    192, Loss  0.875298, Average Loss  0.869815, Time  0.265449
2021-09-16 00:38:37.652420 : Epoch 10, Batch    746, Loss  0.595015, Average Loss  0.600833, Time  0.235597
2021-09-16 00:38:39.167165 : Epoch 10, Batch    747, Loss  0.602710, Average Loss  0.600752, Time  0.236401
2021-09-16 00:38:40.166730 : Epoch  4, Batch    193, Loss  0.863868, Average Loss  0.869814, Time  0.265677
2021-09-16 00:38:40.697215 : Epoch 10, Batch    748, Loss  0.602394, Average Loss  0.600823, Time  0.235667
2021-09-16 00:38:42.229479 : Epoch 10, Batch    749, Loss  0.591313, Average Loss  0.600808, Time  0.236237
2021-09-16 00:38:43.172076 : Epoch  4, Batch    194, Loss  0.882635, Average Loss  0.869856, Time  0.266034
2021-09-16 00:38:43.754276 : Epoch 10, Batch    750, Loss  0.597802, Average Loss  0.600817, Time  0.236690
2021-09-16 00:38:45.276394 : Epoch 10, Batch    751, Loss  0.603202, Average Loss  0.600878, Time  0.236145
2021-09-16 00:38:46.163231 : Epoch  4, Batch    195, Loss  0.862609, Average Loss  0.869795, Time  0.265441
2021-09-16 00:38:46.802678 : Epoch 10, Batch    752, Loss  0.594283, Average Loss  0.600751, Time  0.236701
2021-09-16 00:38:48.323116 : Epoch 10, Batch    753, Loss  0.594638, Average Loss  0.600713, Time  0.236114
2021-09-16 00:38:49.184646 : Epoch  4, Batch    196, Loss  0.868517, Average Loss  0.869800, Time  0.265907
2021-09-16 00:38:49.852825 : Epoch 10, Batch    754, Loss  0.595068, Average Loss  0.600691, Time  0.236033
2021-09-16 00:38:51.384874 : Epoch 10, Batch    755, Loss  0.596643, Average Loss  0.600691, Time  0.236287
2021-09-16 00:38:52.217697 : Epoch  4, Batch    197, Loss  0.858221, Average Loss  0.869760, Time  0.275850
2021-09-16 00:38:52.926317 : Epoch 10, Batch    756, Loss  0.604419, Average Loss  0.600737, Time  0.236013
2021-09-16 00:38:54.456044 : Epoch 10, Batch    757, Loss  0.593137, Average Loss  0.600762, Time  0.236752
2021-09-16 00:38:55.238241 : Epoch  4, Batch    198, Loss  0.859369, Average Loss  0.869784, Time  0.266692
2021-09-16 00:38:55.978440 : Epoch 10, Batch    758, Loss  0.592891, Average Loss  0.600738, Time  0.236514
2021-09-16 00:38:57.512679 : Epoch 10, Batch    759, Loss  0.608008, Average Loss  0.600729, Time  0.238291
2021-09-16 00:38:58.256508 : Epoch  4, Batch    199, Loss  0.859968, Average Loss  0.869681, Time  0.266104
2021-09-16 00:38:59.036876 : Epoch 10, Batch    760, Loss  0.599717, Average Loss  0.600779, Time  0.236098
2021-09-16 00:39:00.572533 : Epoch 10, Batch    761, Loss  0.586776, Average Loss  0.600732, Time  0.236286
2021-09-16 00:39:01.269254 : Epoch  4, Batch    200, Loss  0.871561, Average Loss  0.869578, Time  0.265721
2021-09-16 00:39:02.099729 : Epoch 10, Batch    762, Loss  0.603444, Average Loss  0.600791, Time  0.236778
2021-09-16 00:39:03.623118 : Epoch 10, Batch    763, Loss  0.594099, Average Loss  0.600742, Time  0.236920
2021-09-16 00:39:04.281169 : Epoch  4, Batch    201, Loss  0.855538, Average Loss  0.869539, Time  0.266356
2021-09-16 00:39:05.150184 : Epoch 10, Batch    764, Loss  0.599081, Average Loss  0.600739, Time  0.236022
2021-09-16 00:39:06.683261 : Epoch 10, Batch    765, Loss  0.590531, Average Loss  0.600695, Time  0.238991
2021-09-16 00:39:07.308345 : Epoch  4, Batch    202, Loss  0.852303, Average Loss  0.869349, Time  0.266309
2021-09-16 00:39:08.215309 : Epoch 10, Batch    766, Loss  0.583677, Average Loss  0.600554, Time  0.235548
2021-09-16 00:39:09.751427 : Epoch 10, Batch    767, Loss  0.595868, Average Loss  0.600555, Time  0.236055
2021-09-16 00:39:10.330488 : Epoch  4, Batch    203, Loss  0.860676, Average Loss  0.869353, Time  0.267693
2021-09-16 00:39:11.278019 : Epoch 10, Batch    768, Loss  0.597285, Average Loss  0.600496, Time  0.236484
2021-09-16 00:39:12.810389 : Epoch 10, Batch    769, Loss  0.608925, Average Loss  0.600541, Time  0.236327
2021-09-16 00:39:13.352475 : Epoch  4, Batch    204, Loss  0.870959, Average Loss  0.869319, Time  0.265411
2021-09-16 00:39:14.157763 : CheckPoint: Validation Loss  0.00030187, Best Loss  0.00030187
2021-09-16 00:39:14.202569 : Best Model Updated
2021-09-16 00:39:14.339183 : Epoch 10, Batch    770, Loss  0.603848, Average Loss  0.600569, Time  0.235913
2021-09-16 00:39:15.892094 : Epoch 10, Batch    771, Loss  0.590503, Average Loss  0.600490, Time  0.236643
2021-09-16 00:39:16.371982 : Epoch  4, Batch    205, Loss  0.854158, Average Loss  0.869204, Time  0.266248
2021-09-16 00:39:17.427159 : Epoch 10, Batch    772, Loss  0.598839, Average Loss  0.600526, Time  0.238014
2021-09-16 00:39:17.650866 : Epoch  1, Batch   1101, Loss  0.887969, Average Loss  0.880659, Time  0.270215
2021-09-16 00:39:18.952112 : Epoch 10, Batch    773, Loss  0.602614, Average Loss  0.600534, Time  0.237114
2021-09-16 00:39:19.373534 : Epoch  4, Batch    206, Loss  0.848781, Average Loss  0.869024, Time  0.266509
2021-09-16 00:39:20.249955 : Epoch  1, Batch   1102, Loss  0.879758, Average Loss  0.880661, Time  0.247323
2021-09-16 00:39:20.474137 : Epoch 10, Batch    774, Loss  0.601529, Average Loss  0.600576, Time  0.236931
2021-09-16 00:39:21.987925 : Epoch 10, Batch    775, Loss  0.602729, Average Loss  0.600627, Time  0.236087
2021-09-16 00:39:22.395488 : Epoch  4, Batch    207, Loss  0.877192, Average Loss  0.869203, Time  0.265009
2021-09-16 00:39:22.840635 : Epoch  1, Batch   1103, Loss  0.910749, Average Loss  0.880892, Time  0.239982
2021-09-16 00:39:23.512053 : Epoch 10, Batch    776, Loss  0.615561, Average Loss  0.600707, Time  0.235918
2021-09-16 00:39:25.033466 : Epoch 10, Batch    777, Loss  0.606212, Average Loss  0.600779, Time  0.236772
2021-09-16 00:39:25.397635 : Epoch  4, Batch    208, Loss  0.868502, Average Loss  0.869268, Time  0.266630
2021-09-16 00:39:25.415013 : Epoch  1, Batch   1104, Loss  0.875466, Average Loss  0.880904, Time  0.241569
2021-09-16 00:39:26.564912 : Epoch 10, Batch    778, Loss  0.606354, Average Loss  0.600830, Time  0.239224
2021-09-16 00:39:28.001902 : Epoch  1, Batch   1105, Loss  0.882978, Average Loss  0.880937, Time  0.240067
2021-09-16 00:39:28.086113 : Epoch 10, Batch    779, Loss  0.586933, Average Loss  0.600722, Time  0.236225
2021-09-16 00:39:28.394719 : Epoch  4, Batch    209, Loss  0.866331, Average Loss  0.869267, Time  0.264966
2021-09-16 00:39:29.602125 : Epoch 10, Batch    780, Loss  0.588216, Average Loss  0.600684, Time  0.236855
2021-09-16 00:39:30.588097 : Epoch  1, Batch   1106, Loss  0.881402, Average Loss  0.881078, Time  0.241196
2021-09-16 00:39:31.126012 : Epoch 10, Batch    781, Loss  0.608006, Average Loss  0.600805, Time  0.236269
2021-09-16 00:39:31.393774 : Epoch  4, Batch    210, Loss  0.861188, Average Loss  0.869245, Time  0.264784
2021-09-16 00:39:32.653749 : Epoch 10, Batch    782, Loss  0.608847, Average Loss  0.600821, Time  0.237123
2021-09-16 00:39:33.182981 : Epoch  1, Batch   1107, Loss  0.894175, Average Loss  0.881063, Time  0.241078
2021-09-16 00:39:34.178026 : Epoch 10, Batch    783, Loss  0.600185, Average Loss  0.600810, Time  0.236466
2021-09-16 00:39:34.374983 : Epoch  4, Batch    211, Loss  0.889360, Average Loss  0.869361, Time  0.265621
2021-09-16 00:39:35.710339 : Epoch 10, Batch    784, Loss  0.599674, Average Loss  0.600867, Time  0.236191
2021-09-16 00:39:35.795869 : Epoch  1, Batch   1108, Loss  0.862368, Average Loss  0.880962, Time  0.240146
2021-09-16 00:39:37.234041 : Epoch 10, Batch    785, Loss  0.609786, Average Loss  0.600899, Time  0.236534
2021-09-16 00:39:37.376774 : Epoch  4, Batch    212, Loss  0.864787, Average Loss  0.869200, Time  0.273899
2021-09-16 00:39:38.402886 : Epoch  1, Batch   1109, Loss  0.888811, Average Loss  0.880927, Time  0.243086
2021-09-16 00:39:38.754398 : Epoch 10, Batch    786, Loss  0.601951, Average Loss  0.600890, Time  0.235663
2021-09-16 00:39:40.271395 : Epoch 10, Batch    787, Loss  0.585292, Average Loss  0.600716, Time  0.235941
2021-09-16 00:39:40.311568 : Saving Model after 10-th Epoch.
2021-09-16 00:39:40.380951 : Epoch  4, Batch    213, Loss  0.871673, Average Loss  0.869265, Time  0.265773
2021-09-16 00:39:40.995863 : Epoch  1, Batch   1110, Loss  0.899642, Average Loss  0.880892, Time  0.241073
2021-09-16 00:39:43.380819 : Epoch  4, Batch    214, Loss  0.867406, Average Loss  0.869092, Time  0.265006
2021-09-16 00:39:43.513863 : Epoch Finished.
2021-09-16 00:39:43.573927 : Epoch  1, Batch   1111, Loss  0.854013, Average Loss  0.880824, Time  0.241792
2021-09-16 00:39:46.161944 : Epoch  1, Batch   1112, Loss  0.876139, Average Loss  0.880865, Time  0.242053
2021-09-16 00:39:46.389581 : Epoch  4, Batch    215, Loss  0.867697, Average Loss  0.869096, Time  0.265982
2021-09-16 00:39:48.754887 : Epoch  1, Batch   1113, Loss  0.888765, Average Loss  0.880866, Time  0.240705
2021-09-16 00:39:49.417017 : Epoch  4, Batch    216, Loss  0.867837, Average Loss  0.869078, Time  0.265081
2021-09-16 00:39:51.338799 : Epoch  1, Batch   1114, Loss  0.858838, Average Loss  0.880696, Time  0.242226
2021-09-16 00:39:52.417352 : Epoch  4, Batch    217, Loss  0.861707, Average Loss  0.869078, Time  0.266220
2021-09-16 00:39:53.919103 : Epoch  1, Batch   1115, Loss  0.864398, Average Loss  0.880689, Time  0.240905
2021-09-16 00:39:55.421188 : Epoch  4, Batch    218, Loss  0.857479, Average Loss  0.869011, Time  0.265658
2021-09-16 00:39:56.492441 : Epoch  1, Batch   1116, Loss  0.887493, Average Loss  0.880702, Time  0.240873
2021-09-16 00:39:58.404402 : Epoch  4, Batch    219, Loss  0.862948, Average Loss  0.868936, Time  0.264901
2021-09-16 00:39:59.066541 : Epoch  1, Batch   1117, Loss  0.883039, Average Loss  0.880688, Time  0.240018
2021-09-16 00:40:01.423668 : Epoch  4, Batch    220, Loss  0.846033, Average Loss  0.868915, Time  0.267212
2021-09-16 00:40:01.645272 : Epoch  1, Batch   1118, Loss  0.879730, Average Loss  0.880618, Time  0.241422
2021-09-16 00:40:04.213070 : Epoch  1, Batch   1119, Loss  0.882803, Average Loss  0.880441, Time  0.240485
2021-09-16 00:40:04.422324 : Epoch  4, Batch    221, Loss  0.844145, Average Loss  0.868852, Time  0.265408
2021-09-16 00:40:06.794015 : Epoch  1, Batch   1120, Loss  0.877060, Average Loss  0.880375, Time  0.239870
2021-09-16 00:40:07.449415 : Epoch  4, Batch    222, Loss  0.874082, Average Loss  0.868864, Time  0.266207
2021-09-16 00:40:09.365894 : Epoch  1, Batch   1121, Loss  0.883230, Average Loss  0.880385, Time  0.239797
2021-09-16 00:40:10.489370 : Epoch  4, Batch    223, Loss  0.857999, Average Loss  0.868937, Time  0.268177
2021-09-16 00:40:11.944477 : Epoch  1, Batch   1122, Loss  0.873372, Average Loss  0.880315, Time  0.239955
2021-09-16 00:40:13.486727 : Epoch  4, Batch    224, Loss  0.874497, Average Loss  0.868848, Time  0.264999
2021-09-16 00:40:14.530429 : Epoch  1, Batch   1123, Loss  0.870705, Average Loss  0.880261, Time  0.240988
2021-09-16 00:40:16.486705 : Epoch  4, Batch    225, Loss  0.871376, Average Loss  0.868678, Time  0.266014
2021-09-16 00:40:17.100367 : Epoch  1, Batch   1124, Loss  0.883673, Average Loss  0.880338, Time  0.240301
2021-09-16 00:40:19.509939 : Epoch  4, Batch    226, Loss  0.871615, Average Loss  0.868633, Time  0.267475
2021-09-16 00:40:19.677096 : Epoch  1, Batch   1125, Loss  0.896980, Average Loss  0.880386, Time  0.240236
2021-09-16 00:40:22.257333 : Epoch  1, Batch   1126, Loss  0.867720, Average Loss  0.880349, Time  0.239925
2021-09-16 00:40:22.589541 : Epoch  4, Batch    227, Loss  0.853674, Average Loss  0.868593, Time  0.278004
2021-09-16 00:40:24.831464 : Epoch  1, Batch   1127, Loss  0.888429, Average Loss  0.880343, Time  0.240698
2021-09-16 00:40:25.613489 : Epoch  4, Batch    228, Loss  0.878556, Average Loss  0.868523, Time  0.266319
2021-09-16 00:40:27.408261 : Epoch  1, Batch   1128, Loss  0.872804, Average Loss  0.880355, Time  0.240991
2021-09-16 00:40:28.611979 : Epoch  4, Batch    229, Loss  0.879714, Average Loss  0.868568, Time  0.265113
2021-09-16 00:40:29.984910 : Epoch  1, Batch   1129, Loss  0.873740, Average Loss  0.880272, Time  0.240716
2021-09-16 00:40:31.607806 : Epoch  4, Batch    230, Loss  0.863989, Average Loss  0.868584, Time  0.266587
2021-09-16 00:40:32.565478 : Epoch  1, Batch   1130, Loss  0.854179, Average Loss  0.880236, Time  0.241365
2021-09-16 00:40:34.633950 : Epoch  4, Batch    231, Loss  0.869113, Average Loss  0.868446, Time  0.265177
2021-09-16 00:40:35.145991 : Epoch  1, Batch   1131, Loss  0.877383, Average Loss  0.880309, Time  0.241138
2021-09-16 00:40:37.624105 : Epoch  4, Batch    232, Loss  0.867100, Average Loss  0.868381, Time  0.264540
2021-09-16 00:40:37.720427 : Epoch  1, Batch   1132, Loss  0.857832, Average Loss  0.880186, Time  0.240719
2021-09-16 00:40:40.314478 : Epoch  1, Batch   1133, Loss  0.872683, Average Loss  0.880202, Time  0.243537
2021-09-16 00:40:42.885705 : Epoch  1, Batch   1134, Loss  0.889702, Average Loss  0.880157, Time  0.240296
2021-09-16 00:40:45.463391 : Epoch  1, Batch   1135, Loss  0.895924, Average Loss  0.880223, Time  0.241148
2021-09-16 00:40:48.047074 : Epoch  1, Batch   1136, Loss  0.891174, Average Loss  0.880273, Time  0.240960
2021-09-16 00:40:50.625840 : Epoch  1, Batch   1137, Loss  0.878269, Average Loss  0.880324, Time  0.240711
2021-09-16 00:40:53.204321 : Epoch  1, Batch   1138, Loss  0.890787, Average Loss  0.880415, Time  0.240572
2021-09-16 00:40:55.775160 : Epoch  1, Batch   1139, Loss  0.882987, Average Loss  0.880349, Time  0.240223
2021-09-16 00:40:58.370275 : Epoch  1, Batch   1140, Loss  0.869325, Average Loss  0.880233, Time  0.240989
2021-09-16 00:41:00.940176 : Epoch  1, Batch   1141, Loss  0.893709, Average Loss  0.880380, Time  0.240414
2021-09-16 00:41:03.519079 : Epoch  1, Batch   1142, Loss  0.880508, Average Loss  0.880395, Time  0.241736
2021-09-16 00:41:06.091263 : Epoch  1, Batch   1143, Loss  0.890057, Average Loss  0.880348, Time  0.240571
2021-09-16 00:41:08.680651 : Epoch  1, Batch   1144, Loss  0.891159, Average Loss  0.880373, Time  0.240884
2021-09-16 00:41:11.251561 : Epoch  1, Batch   1145, Loss  0.875304, Average Loss  0.880246, Time  0.239789
2021-09-16 00:41:13.829000 : Epoch  1, Batch   1146, Loss  0.885934, Average Loss  0.880175, Time  0.241540
2021-09-16 00:41:16.406086 : Epoch  1, Batch   1147, Loss  0.862979, Average Loss  0.880133, Time  0.242503
2021-09-16 00:41:18.977122 : Epoch  1, Batch   1148, Loss  0.873093, Average Loss  0.880110, Time  0.240165
2021-09-16 00:41:21.555471 : Epoch  1, Batch   1149, Loss  0.896605, Average Loss  0.880013, Time  0.239780
2021-09-16 00:41:24.128153 : Epoch  1, Batch   1150, Loss  0.892328, Average Loss  0.880041, Time  0.240775
2021-09-16 00:41:26.702387 : Epoch  1, Batch   1151, Loss  0.886583, Average Loss  0.880127, Time  0.239676
2021-09-16 00:41:29.283470 : Epoch  1, Batch   1152, Loss  0.883364, Average Loss  0.880193, Time  0.240622
2021-09-16 00:41:31.858949 : Epoch  1, Batch   1153, Loss  0.871059, Average Loss  0.880223, Time  0.240985
2021-09-16 00:41:34.443376 : Epoch  1, Batch   1154, Loss  0.883242, Average Loss  0.880181, Time  0.241717
2021-09-16 00:41:37.020570 : Epoch  1, Batch   1155, Loss  0.868148, Average Loss  0.880119, Time  0.239939
2021-09-16 00:41:39.596534 : Epoch  1, Batch   1156, Loss  0.880143, Average Loss  0.880101, Time  0.240770
2021-09-16 00:41:42.170214 : Epoch  1, Batch   1157, Loss  0.896222, Average Loss  0.880242, Time  0.240793
2021-09-16 00:41:44.742688 : Epoch  1, Batch   1158, Loss  0.882257, Average Loss  0.880144, Time  0.240549
2021-09-16 00:41:47.321442 : Epoch  1, Batch   1159, Loss  0.885973, Average Loss  0.880168, Time  0.240717
2021-09-16 00:41:49.951640 : Epoch  1, Batch   1160, Loss  0.883797, Average Loss  0.880247, Time  0.240327
2021-09-16 00:41:52.530626 : Epoch  1, Batch   1161, Loss  0.887095, Average Loss  0.880295, Time  0.240091
2021-09-16 00:41:55.097130 : Epoch  1, Batch   1162, Loss  0.887999, Average Loss  0.880438, Time  0.241151
2021-09-16 00:41:57.674420 : Epoch  1, Batch   1163, Loss  0.882653, Average Loss  0.880319, Time  0.240220
2021-09-16 00:42:00.290597 : Epoch  1, Batch   1164, Loss  0.875145, Average Loss  0.880215, Time  0.240306
2021-09-16 00:42:02.867210 : Epoch  1, Batch   1165, Loss  0.855921, Average Loss  0.880090, Time  0.240481
2021-09-16 00:42:05.437647 : Epoch  1, Batch   1166, Loss  0.849852, Average Loss  0.880002, Time  0.240278
2021-09-16 00:42:08.012190 : Epoch  1, Batch   1167, Loss  0.886027, Average Loss  0.879919, Time  0.241338
2021-09-16 00:42:10.587429 : Epoch  1, Batch   1168, Loss  0.900133, Average Loss  0.880114, Time  0.243194
2021-09-16 00:42:13.170788 : Epoch  1, Batch   1169, Loss  0.888604, Average Loss  0.880168, Time  0.240127
2021-09-16 00:42:15.744149 : Epoch  1, Batch   1170, Loss  0.886947, Average Loss  0.880189, Time  0.240416
2021-09-16 00:42:18.314193 : Epoch  1, Batch   1171, Loss  0.878173, Average Loss  0.880151, Time  0.239999
2021-09-16 00:42:20.897081 : Epoch  1, Batch   1172, Loss  0.868642, Average Loss  0.880021, Time  0.240951
2021-09-16 00:42:23.479855 : Epoch  1, Batch   1173, Loss  0.878301, Average Loss  0.879974, Time  0.241943
2021-09-16 00:42:26.050303 : Epoch  1, Batch   1174, Loss  0.891632, Average Loss  0.880016, Time  0.242590
2021-09-16 00:42:28.622035 : Epoch  1, Batch   1175, Loss  0.922013, Average Loss  0.880278, Time  0.241559
2021-09-16 00:42:31.201470 : Epoch  1, Batch   1176, Loss  0.888560, Average Loss  0.880362, Time  0.242720
2021-09-16 00:42:33.788407 : Epoch  1, Batch   1177, Loss  0.881343, Average Loss  0.880314, Time  0.241005
2021-09-16 00:42:36.372947 : Epoch  1, Batch   1178, Loss  0.861600, Average Loss  0.880238, Time  0.245337
2021-09-16 00:42:38.959072 : Epoch  1, Batch   1179, Loss  0.866725, Average Loss  0.880273, Time  0.240021
2021-09-16 00:42:41.551010 : Epoch  1, Batch   1180, Loss  0.911274, Average Loss  0.880449, Time  0.246452
2021-09-16 00:42:44.129883 : Epoch  1, Batch   1181, Loss  0.867430, Average Loss  0.880327, Time  0.240218
2021-09-16 00:42:46.732443 : Epoch  1, Batch   1182, Loss  0.877701, Average Loss  0.880316, Time  0.240228
2021-09-16 00:42:49.313046 : Epoch  1, Batch   1183, Loss  0.874722, Average Loss  0.880285, Time  0.240372
2021-09-16 00:42:51.892074 : Epoch  1, Batch   1184, Loss  0.863554, Average Loss  0.880220, Time  0.240255
2021-09-16 00:42:54.471184 : Epoch  1, Batch   1185, Loss  0.900734, Average Loss  0.880348, Time  0.240381
2021-09-16 00:42:57.047241 : Epoch  1, Batch   1186, Loss  0.873883, Average Loss  0.880293, Time  0.240419
2021-09-16 00:42:59.620336 : Epoch  1, Batch   1187, Loss  0.887527, Average Loss  0.880353, Time  0.241079
2021-09-16 00:43:02.192104 : Epoch  1, Batch   1188, Loss  0.881784, Average Loss  0.880411, Time  0.240757
2021-09-16 00:43:04.761057 : Epoch  1, Batch   1189, Loss  0.885431, Average Loss  0.880387, Time  0.242478
2021-09-16 00:43:07.327998 : Epoch  1, Batch   1190, Loss  0.867180, Average Loss  0.880301, Time  0.240566
2021-09-16 00:43:09.914155 : Epoch  1, Batch   1191, Loss  0.880531, Average Loss  0.880322, Time  0.240079
2021-09-16 00:43:12.488152 : Epoch  1, Batch   1192, Loss  0.891462, Average Loss  0.880449, Time  0.240048
2021-09-16 00:43:15.081974 : Epoch  1, Batch   1193, Loss  0.865742, Average Loss  0.880478, Time  0.240317
2021-09-16 00:43:17.667955 : Epoch  1, Batch   1194, Loss  0.876835, Average Loss  0.880526, Time  0.240877
2021-09-16 00:43:20.250941 : Epoch  1, Batch   1195, Loss  0.897581, Average Loss  0.880581, Time  0.241096
2021-09-16 00:43:22.831190 : Epoch  1, Batch   1196, Loss  0.867096, Average Loss  0.880493, Time  0.240553
2021-09-16 00:43:25.412861 : Epoch  1, Batch   1197, Loss  0.871267, Average Loss  0.880401, Time  0.240170
2021-09-16 00:43:27.995330 : Epoch  1, Batch   1198, Loss  0.892347, Average Loss  0.880439, Time  0.240970
2021-09-16 00:43:30.565037 : Epoch  1, Batch   1199, Loss  0.893288, Average Loss  0.880444, Time  0.241007
2021-09-16 00:43:33.143849 : Epoch  1, Batch   1200, Loss  0.904417, Average Loss  0.880544, Time  0.240771
2021-09-16 00:45:17.902322 : CheckPoint: Validation Loss  0.00031116, Best Loss  0.00029379
2021-09-16 00:45:20.919542 : Epoch  4, Batch    233, Loss  0.869092, Average Loss  0.868259, Time  0.267708
2021-09-16 00:45:23.947745 : Epoch  4, Batch    234, Loss  0.854531, Average Loss  0.868151, Time  0.266443
2021-09-16 00:45:26.968960 : Epoch  4, Batch    235, Loss  0.865269, Average Loss  0.868094, Time  0.265771
2021-09-16 00:45:29.980722 : Epoch  4, Batch    236, Loss  0.882417, Average Loss  0.868064, Time  0.264873
2021-09-16 00:45:32.990509 : Epoch  4, Batch    237, Loss  0.880766, Average Loss  0.868193, Time  0.266302
2021-09-16 00:45:36.023749 : Epoch  4, Batch    238, Loss  0.869772, Average Loss  0.868150, Time  0.265239
2021-09-16 00:45:39.061948 : Epoch  4, Batch    239, Loss  0.879420, Average Loss  0.868282, Time  0.264693
2021-09-16 00:45:42.092315 : Epoch  4, Batch    240, Loss  0.874666, Average Loss  0.868373, Time  0.265964
2021-09-16 00:45:45.119878 : Epoch  4, Batch    241, Loss  0.874683, Average Loss  0.868400, Time  0.265649
2021-09-16 00:45:48.154569 : Epoch  4, Batch    242, Loss  0.872381, Average Loss  0.868306, Time  0.279019
2021-09-16 00:45:51.143417 : Epoch  4, Batch    243, Loss  0.888446, Average Loss  0.868523, Time  0.265288
2021-09-16 00:45:54.135489 : Epoch  4, Batch    244, Loss  0.880455, Average Loss  0.868635, Time  0.265859
2021-09-16 00:45:57.139194 : Epoch  4, Batch    245, Loss  0.883970, Average Loss  0.868680, Time  0.266548
2021-09-16 00:46:00.164816 : Epoch  4, Batch    246, Loss  0.880041, Average Loss  0.868758, Time  0.265940
2021-09-16 00:46:03.159792 : Epoch  4, Batch    247, Loss  0.870139, Average Loss  0.868777, Time  0.265265
2021-09-16 00:46:06.163324 : Epoch  4, Batch    248, Loss  0.856487, Average Loss  0.868797, Time  0.266007
2021-09-16 00:46:09.163564 : Epoch  4, Batch    249, Loss  0.860872, Average Loss  0.868855, Time  0.265487
2021-09-16 00:46:12.180285 : Epoch  4, Batch    250, Loss  0.881194, Average Loss  0.868908, Time  0.266113
2021-09-16 00:46:15.189119 : Epoch  4, Batch    251, Loss  0.884749, Average Loss  0.869052, Time  0.265440
2021-09-16 00:46:18.204150 : Epoch  4, Batch    252, Loss  0.876986, Average Loss  0.869112, Time  0.265485
2021-09-16 00:46:21.211450 : Epoch  4, Batch    253, Loss  0.870707, Average Loss  0.869136, Time  0.266194
2021-09-16 00:46:24.245916 : Epoch  4, Batch    254, Loss  0.868156, Average Loss  0.869106, Time  0.265250
2021-09-16 00:46:27.238800 : Epoch  4, Batch    255, Loss  0.879486, Average Loss  0.869147, Time  0.264560
2021-09-16 00:46:30.269293 : Epoch  4, Batch    256, Loss  0.878630, Average Loss  0.869081, Time  0.265247
2021-09-16 00:46:33.269330 : Epoch  4, Batch    257, Loss  0.870399, Average Loss  0.869015, Time  0.277081
2021-09-16 00:46:36.259485 : Epoch  4, Batch    258, Loss  0.863389, Average Loss  0.868908, Time  0.265657
2021-09-16 00:46:39.246097 : Epoch  4, Batch    259, Loss  0.852459, Average Loss  0.868825, Time  0.265932
2021-09-16 00:46:42.238725 : Epoch  4, Batch    260, Loss  0.883249, Average Loss  0.868801, Time  0.265573
2021-09-16 00:46:45.271972 : Epoch  4, Batch    261, Loss  0.844467, Average Loss  0.868811, Time  0.266512
2021-09-16 00:46:48.281862 : Epoch  4, Batch    262, Loss  0.882470, Average Loss  0.868889, Time  0.267197
2021-09-16 00:46:51.315067 : Epoch  4, Batch    263, Loss  0.859384, Average Loss  0.868841, Time  0.265115
2021-09-16 00:46:54.310236 : Epoch  4, Batch    264, Loss  0.857348, Average Loss  0.868879, Time  0.266330
2021-09-16 00:46:57.294832 : Epoch  4, Batch    265, Loss  0.884917, Average Loss  0.868842, Time  0.267170
2021-09-16 00:47:00.297553 : Epoch  4, Batch    266, Loss  0.863848, Average Loss  0.868777, Time  0.266215
2021-09-16 00:47:03.292837 : Epoch  4, Batch    267, Loss  0.855968, Average Loss  0.868665, Time  0.265339
2021-09-16 00:47:06.275273 : Epoch  4, Batch    268, Loss  0.867365, Average Loss  0.868663, Time  0.265513
2021-09-16 00:47:09.269799 : Epoch  4, Batch    269, Loss  0.866685, Average Loss  0.868745, Time  0.265333
2021-09-16 00:47:12.273098 : Epoch  4, Batch    270, Loss  0.886326, Average Loss  0.868786, Time  0.265445
2021-09-16 00:47:15.276518 : Epoch  4, Batch    271, Loss  0.875078, Average Loss  0.868835, Time  0.266174
2021-09-16 00:47:18.311874 : Epoch  4, Batch    272, Loss  0.880063, Average Loss  0.868799, Time  0.273249
2021-09-16 00:47:21.304233 : Epoch  4, Batch    273, Loss  0.833700, Average Loss  0.868594, Time  0.266017
2021-09-16 00:47:24.323651 : Epoch  4, Batch    274, Loss  0.864637, Average Loss  0.868671, Time  0.266662
2021-09-16 00:47:27.384645 : Epoch  4, Batch    275, Loss  0.865095, Average Loss  0.868644, Time  0.265513
2021-09-16 00:47:30.383410 : Epoch  4, Batch    276, Loss  0.870002, Average Loss  0.868623, Time  0.264905
2021-09-16 00:47:33.372566 : Epoch  4, Batch    277, Loss  0.875773, Average Loss  0.868675, Time  0.264910
2021-09-16 00:47:36.367695 : Epoch  4, Batch    278, Loss  0.871108, Average Loss  0.868673, Time  0.266679
2021-09-16 00:47:37.218745 : CheckPoint: Validation Loss  0.00031648, Best Loss  0.00030187
2021-09-16 00:47:39.371221 : Epoch  4, Batch    279, Loss  0.879075, Average Loss  0.868747, Time  0.266882
2021-09-16 00:47:39.816156 : Epoch  1, Batch   1201, Loss  0.875797, Average Loss  0.880531, Time  0.241855
2021-09-16 00:47:42.395359 : Epoch  1, Batch   1202, Loss  0.879173, Average Loss  0.880533, Time  0.240022
2021-09-16 00:47:42.404569 : Epoch  4, Batch    280, Loss  0.888952, Average Loss  0.868901, Time  0.266060
2021-09-16 00:47:44.985208 : Epoch  1, Batch   1203, Loss  0.896243, Average Loss  0.880699, Time  0.239962
2021-09-16 00:47:45.426104 : Epoch  4, Batch    281, Loss  0.861533, Average Loss  0.868894, Time  0.265105
2021-09-16 00:47:47.607222 : Epoch  1, Batch   1204, Loss  0.860860, Average Loss  0.880489, Time  0.240975
2021-09-16 00:47:48.411744 : Epoch  4, Batch    282, Loss  0.866569, Average Loss  0.868861, Time  0.266877
2021-09-16 00:47:50.195933 : Epoch  1, Batch   1205, Loss  0.883597, Average Loss  0.880525, Time  0.240345
2021-09-16 00:47:51.408907 : Epoch  4, Batch    283, Loss  0.867473, Average Loss  0.868824, Time  0.265539
2021-09-16 00:47:52.785388 : Epoch  1, Batch   1206, Loss  0.882249, Average Loss  0.880526, Time  0.240027
2021-09-16 00:47:54.404725 : Epoch  4, Batch    284, Loss  0.868087, Average Loss  0.868867, Time  0.265762
2021-09-16 00:47:55.376956 : Epoch  1, Batch   1207, Loss  0.876716, Average Loss  0.880494, Time  0.241648
2021-09-16 00:47:57.403318 : Epoch  4, Batch    285, Loss  0.851441, Average Loss  0.868885, Time  0.266631
2021-09-16 00:47:57.968405 : Epoch  1, Batch   1208, Loss  0.870820, Average Loss  0.880443, Time  0.240165
2021-09-16 00:48:00.397699 : Epoch  4, Batch    286, Loss  0.876931, Average Loss  0.868933, Time  0.265378
2021-09-16 00:48:00.552114 : Epoch  1, Batch   1209, Loss  0.874163, Average Loss  0.880432, Time  0.241537
2021-09-16 00:48:03.140482 : Epoch  1, Batch   1210, Loss  0.884589, Average Loss  0.880424, Time  0.240294
2021-09-16 00:48:03.398276 : Epoch  4, Batch    287, Loss  0.855832, Average Loss  0.868842, Time  0.276262
2021-09-16 00:48:05.717988 : Epoch  1, Batch   1211, Loss  0.866186, Average Loss  0.880224, Time  0.241252
2021-09-16 00:48:06.379546 : Epoch  4, Batch    288, Loss  0.873180, Average Loss  0.868772, Time  0.266488
2021-09-16 00:48:08.299351 : Epoch  1, Batch   1212, Loss  0.883696, Average Loss  0.880277, Time  0.240620
2021-09-16 00:48:09.378431 : Epoch  4, Batch    289, Loss  0.847266, Average Loss  0.868681, Time  0.266799
2021-09-16 00:48:10.877173 : Epoch  1, Batch   1213, Loss  0.871898, Average Loss  0.880232, Time  0.240650
2021-09-16 00:48:12.368454 : Epoch  4, Batch    290, Loss  0.877538, Average Loss  0.868648, Time  0.265251
2021-09-16 00:48:13.483427 : Epoch  1, Batch   1214, Loss  0.870420, Average Loss  0.880138, Time  0.240602
2021-09-16 00:48:15.363958 : Epoch  4, Batch    291, Loss  0.845153, Average Loss  0.868478, Time  0.265465
2021-09-16 00:48:16.086558 : Epoch  1, Batch   1215, Loss  0.875433, Average Loss  0.880124, Time  0.240337
2021-09-16 00:48:18.364645 : Epoch  4, Batch    292, Loss  0.879050, Average Loss  0.868414, Time  0.266319
2021-09-16 00:48:18.668712 : Epoch  1, Batch   1216, Loss  0.893716, Average Loss  0.880112, Time  0.241033
2021-09-16 00:48:21.240384 : Epoch  1, Batch   1217, Loss  0.872453, Average Loss  0.880206, Time  0.240102
2021-09-16 00:48:21.370981 : Epoch  4, Batch    293, Loss  0.871978, Average Loss  0.868371, Time  0.265784
2021-09-16 00:48:23.844461 : Epoch  1, Batch   1218, Loss  0.878228, Average Loss  0.880222, Time  0.241762
2021-09-16 00:48:24.365200 : Epoch  4, Batch    294, Loss  0.881819, Average Loss  0.868445, Time  0.265797
2021-09-16 00:48:26.430229 : Epoch  1, Batch   1219, Loss  0.889593, Average Loss  0.880336, Time  0.243293
2021-09-16 00:48:27.356332 : Epoch  4, Batch    295, Loss  0.862913, Average Loss  0.868549, Time  0.265157
2021-09-16 00:48:29.028961 : Epoch  1, Batch   1220, Loss  0.880506, Average Loss  0.880304, Time  0.241167
2021-09-16 00:48:30.351811 : Epoch  4, Batch    296, Loss  0.862155, Average Loss  0.868540, Time  0.266106
2021-09-16 00:48:31.614161 : Epoch  1, Batch   1221, Loss  0.853568, Average Loss  0.880182, Time  0.240533
2021-09-16 00:48:33.368857 : Epoch  4, Batch    297, Loss  0.878960, Average Loss  0.868589, Time  0.266078
2021-09-16 00:48:34.230718 : Epoch  1, Batch   1222, Loss  0.874473, Average Loss  0.880229, Time  0.240641
2021-09-16 00:48:36.417607 : Epoch  4, Batch    298, Loss  0.861968, Average Loss  0.868590, Time  0.265932
2021-09-16 00:48:36.829387 : Epoch  1, Batch   1223, Loss  0.879310, Average Loss  0.880156, Time  0.240242
2021-09-16 00:48:39.405460 : Epoch  1, Batch   1224, Loss  0.882065, Average Loss  0.880244, Time  0.240057
2021-09-16 00:48:39.422274 : Epoch  4, Batch    299, Loss  0.855492, Average Loss  0.868483, Time  0.265278
2021-09-16 00:48:41.976369 : Epoch  1, Batch   1225, Loss  0.887504, Average Loss  0.880371, Time  0.240569
2021-09-16 00:48:42.420877 : Epoch  4, Batch    300, Loss  0.849439, Average Loss  0.868302, Time  0.266106
2021-09-16 00:48:44.552948 : Epoch  1, Batch   1226, Loss  0.862152, Average Loss  0.880194, Time  0.241490
2021-09-16 00:48:45.454364 : Epoch  4, Batch    301, Loss  0.878852, Average Loss  0.868460, Time  0.267100
2021-09-16 00:48:47.122017 : Epoch  1, Batch   1227, Loss  0.906708, Average Loss  0.880297, Time  0.240171
2021-09-16 00:48:48.530103 : Epoch  4, Batch    302, Loss  0.870712, Average Loss  0.868496, Time  0.278372
2021-09-16 00:48:49.704773 : Epoch  1, Batch   1228, Loss  0.869791, Average Loss  0.880233, Time  0.240789
2021-09-16 00:48:51.538496 : Epoch  4, Batch    303, Loss  0.877265, Average Loss  0.868485, Time  0.264952
2021-09-16 00:48:52.285687 : Epoch  1, Batch   1229, Loss  0.869521, Average Loss  0.880164, Time  0.240137
2021-09-16 00:48:54.539363 : Epoch  4, Batch    304, Loss  0.885591, Average Loss  0.868557, Time  0.265462
2021-09-16 00:48:54.866906 : Epoch  1, Batch   1230, Loss  0.877883, Average Loss  0.880139, Time  0.245304
2021-09-16 00:48:57.440617 : Epoch  1, Batch   1231, Loss  0.868118, Average Loss  0.879977, Time  0.240492
2021-09-16 00:48:57.534921 : Epoch  4, Batch    305, Loss  0.873365, Average Loss  0.868582, Time  0.266830
2021-09-16 00:49:00.030430 : Epoch  1, Batch   1232, Loss  0.883920, Average Loss  0.880064, Time  0.240367
2021-09-16 00:49:00.514416 : Epoch  4, Batch    306, Loss  0.862807, Average Loss  0.868594, Time  0.266080
2021-09-16 00:49:02.628048 : Epoch  1, Batch   1233, Loss  0.899716, Average Loss  0.880045, Time  0.240247
2021-09-16 00:49:03.515827 : Epoch  4, Batch    307, Loss  0.859818, Average Loss  0.868584, Time  0.265414
2021-09-16 00:49:05.207165 : Epoch  1, Batch   1234, Loss  0.866455, Average Loss  0.879986, Time  0.240700
2021-09-16 00:49:06.533577 : Epoch  4, Batch    308, Loss  0.869396, Average Loss  0.868586, Time  0.266015
2021-09-16 00:49:07.807204 : Epoch  1, Batch   1235, Loss  0.855060, Average Loss  0.879965, Time  0.239975
2021-09-16 00:49:09.547195 : Epoch  4, Batch    309, Loss  0.882011, Average Loss  0.868734, Time  0.265726
2021-09-16 00:49:10.377481 : Epoch  1, Batch   1236, Loss  0.861374, Average Loss  0.879863, Time  0.241243
2021-09-16 00:49:12.539236 : Epoch  4, Batch    310, Loss  0.878415, Average Loss  0.868789, Time  0.265572
2021-09-16 00:49:12.950002 : Epoch  1, Batch   1237, Loss  0.869488, Average Loss  0.879834, Time  0.241307
2021-09-16 00:49:15.512969 : Epoch  1, Batch   1238, Loss  0.869334, Average Loss  0.879673, Time  0.242005
2021-09-16 00:49:15.543082 : Epoch  4, Batch    311, Loss  0.856523, Average Loss  0.868763, Time  0.265168
2021-09-16 00:49:18.094878 : Epoch  1, Batch   1239, Loss  0.884482, Average Loss  0.879675, Time  0.241092
2021-09-16 00:49:18.523781 : Epoch  4, Batch    312, Loss  0.872989, Average Loss  0.868742, Time  0.265922
2021-09-16 00:49:20.676503 : Epoch  1, Batch   1240, Loss  0.861155, Average Loss  0.879565, Time  0.241218
2021-09-16 00:49:21.509119 : Epoch  4, Batch    313, Loss  0.874558, Average Loss  0.868790, Time  0.265892
2021-09-16 00:49:23.254183 : Epoch  1, Batch   1241, Loss  0.886932, Average Loss  0.879675, Time  0.241273
2021-09-16 00:49:24.535026 : Epoch  4, Batch    314, Loss  0.863618, Average Loss  0.868709, Time  0.264967
2021-09-16 00:49:25.843947 : Epoch  1, Batch   1242, Loss  0.874142, Average Loss  0.879558, Time  0.242068
2021-09-16 00:49:27.553806 : Epoch  4, Batch    315, Loss  0.890699, Average Loss  0.868767, Time  0.265414
2021-09-16 00:49:28.429778 : Epoch  1, Batch   1243, Loss  0.909186, Average Loss  0.879585, Time  0.240919
2021-09-16 00:49:30.564806 : Epoch  4, Batch    316, Loss  0.854817, Average Loss  0.868710, Time  0.265505
2021-09-16 00:49:31.013477 : Epoch  1, Batch   1244, Loss  0.876405, Average Loss  0.879610, Time  0.241087
2021-09-16 00:49:33.564322 : Epoch  4, Batch    317, Loss  0.884247, Average Loss  0.868887, Time  0.279165
2021-09-16 00:49:33.590401 : Epoch  1, Batch   1245, Loss  0.890703, Average Loss  0.879727, Time  0.241820
2021-09-16 00:49:36.163244 : Epoch  1, Batch   1246, Loss  0.894632, Average Loss  0.879863, Time  0.239904
2021-09-16 00:49:36.543888 : Epoch  4, Batch    318, Loss  0.882273, Average Loss  0.868810, Time  0.266136
2021-09-16 00:49:38.754474 : Epoch  1, Batch   1247, Loss  0.880515, Average Loss  0.879884, Time  0.241704
2021-09-16 00:49:39.516463 : Epoch  4, Batch    319, Loss  0.867189, Average Loss  0.868649, Time  0.266149
2021-09-16 00:49:41.332600 : Epoch  1, Batch   1248, Loss  0.888853, Average Loss  0.879926, Time  0.241189
2021-09-16 00:49:42.531617 : Epoch  4, Batch    320, Loss  0.872241, Average Loss  0.868682, Time  0.265394
2021-09-16 00:49:43.925508 : Epoch  1, Batch   1249, Loss  0.879142, Average Loss  0.879910, Time  0.240837
2021-09-16 00:49:45.512291 : Epoch  4, Batch    321, Loss  0.854979, Average Loss  0.868580, Time  0.265727
2021-09-16 00:49:46.498043 : Epoch  1, Batch   1250, Loss  0.883163, Average Loss  0.879849, Time  0.240010
2021-09-16 00:49:48.507111 : Epoch  4, Batch    322, Loss  0.886556, Average Loss  0.868657, Time  0.267444
2021-09-16 00:49:49.079384 : Epoch  1, Batch   1251, Loss  0.859145, Average Loss  0.879716, Time  0.240241
2021-09-16 00:49:51.495246 : Epoch  4, Batch    323, Loss  0.885152, Average Loss  0.868737, Time  0.265005
2021-09-16 00:49:51.668957 : Epoch  1, Batch   1252, Loss  0.901146, Average Loss  0.879834, Time  0.240062
2021-09-16 00:49:54.235481 : Epoch  1, Batch   1253, Loss  0.888491, Average Loss  0.879819, Time  0.240087
2021-09-16 00:49:54.480329 : Epoch  4, Batch    324, Loss  0.860509, Average Loss  0.868662, Time  0.266373
2021-09-16 00:49:56.809005 : Epoch  1, Batch   1254, Loss  0.866298, Average Loss  0.879638, Time  0.241129
2021-09-16 00:49:57.455531 : Epoch  4, Batch    325, Loss  0.883014, Average Loss  0.868780, Time  0.266345
2021-09-16 00:49:59.445623 : Epoch  1, Batch   1255, Loss  0.866292, Average Loss  0.879596, Time  0.240003
2021-09-16 00:50:00.460263 : Epoch  4, Batch    326, Loss  0.892543, Average Loss  0.868958, Time  0.265057
2021-09-16 00:50:02.042035 : Epoch  1, Batch   1256, Loss  0.856494, Average Loss  0.879396, Time  0.244156
2021-09-16 00:50:03.479144 : Epoch  4, Batch    327, Loss  0.878851, Average Loss  0.869069, Time  0.267308
2021-09-16 00:50:04.625010 : Epoch  1, Batch   1257, Loss  0.893588, Average Loss  0.879323, Time  0.240967
2021-09-16 00:50:06.502040 : Epoch  4, Batch    328, Loss  0.856377, Average Loss  0.868971, Time  0.265805
2021-09-16 00:50:07.213985 : Epoch  1, Batch   1258, Loss  0.871920, Average Loss  0.879240, Time  0.240659
2021-09-16 00:50:09.533910 : Epoch  4, Batch    329, Loss  0.875399, Average Loss  0.869022, Time  0.266067
2021-09-16 00:50:09.779405 : Epoch  1, Batch   1259, Loss  0.871925, Average Loss  0.879306, Time  0.240638
2021-09-16 00:50:12.364408 : Epoch  1, Batch   1260, Loss  0.874905, Average Loss  0.879313, Time  0.239784
2021-09-16 00:50:12.541567 : Epoch  4, Batch    330, Loss  0.858858, Average Loss  0.868930, Time  0.265357
2021-09-16 00:50:14.947941 : Epoch  1, Batch   1261, Loss  0.877179, Average Loss  0.879253, Time  0.240010
2021-09-16 00:50:15.517624 : Epoch  4, Batch    331, Loss  0.884121, Average Loss  0.868985, Time  0.265508
2021-09-16 00:50:17.532464 : Epoch  1, Batch   1262, Loss  0.883528, Average Loss  0.879298, Time  0.240687
2021-09-16 00:50:18.526109 : Epoch  4, Batch    332, Loss  0.896194, Average Loss  0.869129, Time  0.278844
2021-09-16 00:50:20.138187 : Epoch  1, Batch   1263, Loss  0.902745, Average Loss  0.879472, Time  0.241101
2021-09-16 00:50:22.740877 : Epoch  1, Batch   1264, Loss  0.893610, Average Loss  0.879580, Time  0.239935
2021-09-16 00:50:25.316997 : Epoch  1, Batch   1265, Loss  0.860730, Average Loss  0.879441, Time  0.241154
2021-09-16 00:50:27.910716 : Epoch  1, Batch   1266, Loss  0.872709, Average Loss  0.879305, Time  0.240672
2021-09-16 00:50:30.492941 : Epoch  1, Batch   1267, Loss  0.896039, Average Loss  0.879411, Time  0.240561
2021-09-16 00:50:33.081192 : Epoch  1, Batch   1268, Loss  0.876807, Average Loss  0.879539, Time  0.241242
2021-09-16 00:50:35.674870 : Epoch  1, Batch   1269, Loss  0.859919, Average Loss  0.879426, Time  0.240584
2021-09-16 00:50:38.263407 : Epoch  1, Batch   1270, Loss  0.890875, Average Loss  0.879627, Time  0.240059
2021-09-16 00:50:40.856881 : Epoch  1, Batch   1271, Loss  0.896492, Average Loss  0.879628, Time  0.240041
2021-09-16 00:50:43.447715 : Epoch  1, Batch   1272, Loss  0.873325, Average Loss  0.879543, Time  0.239854
2021-09-16 00:50:46.031365 : Epoch  1, Batch   1273, Loss  0.894289, Average Loss  0.879607, Time  0.240011
2021-09-16 00:50:48.631152 : Epoch  1, Batch   1274, Loss  0.883521, Average Loss  0.879682, Time  0.240499
2021-09-16 00:50:51.228717 : Epoch  1, Batch   1275, Loss  0.881688, Average Loss  0.879719, Time  0.240041
2021-09-16 00:50:53.818230 : Epoch  1, Batch   1276, Loss  0.864640, Average Loss  0.879694, Time  0.240176
2021-09-16 00:50:56.433058 : Epoch  1, Batch   1277, Loss  0.859479, Average Loss  0.879649, Time  0.240527
2021-09-16 00:50:59.015674 : Epoch  1, Batch   1278, Loss  0.880792, Average Loss  0.879685, Time  0.239963
2021-09-16 00:51:01.588060 : Epoch  1, Batch   1279, Loss  0.882003, Average Loss  0.879847, Time  0.239974
2021-09-16 00:51:04.158172 : Epoch  1, Batch   1280, Loss  0.877446, Average Loss  0.879811, Time  0.240846
2021-09-16 00:51:06.735681 : Epoch  1, Batch   1281, Loss  0.868112, Average Loss  0.879753, Time  0.240563
2021-09-16 00:51:09.317044 : Epoch  1, Batch   1282, Loss  0.902525, Average Loss  0.880044, Time  0.240710
2021-09-16 00:51:11.915835 : Epoch  1, Batch   1283, Loss  0.864321, Average Loss  0.879861, Time  0.240016
2021-09-16 00:51:14.498450 : Epoch  1, Batch   1284, Loss  0.891340, Average Loss  0.879849, Time  0.243979
2021-09-16 00:51:17.078133 : Epoch  1, Batch   1285, Loss  0.860643, Average Loss  0.879833, Time  0.240150
2021-09-16 00:51:19.660626 : Epoch  1, Batch   1286, Loss  0.883265, Average Loss  0.879824, Time  0.241379
2021-09-16 00:51:22.251229 : Epoch  1, Batch   1287, Loss  0.864430, Average Loss  0.879781, Time  0.240156
2021-09-16 00:51:24.835531 : Epoch  1, Batch   1288, Loss  0.894034, Average Loss  0.879996, Time  0.240747
2021-09-16 00:51:27.416434 : Epoch  1, Batch   1289, Loss  0.891998, Average Loss  0.880110, Time  0.240530
2021-09-16 00:51:29.997164 : Epoch  1, Batch   1290, Loss  0.890324, Average Loss  0.880296, Time  0.242301
2021-09-16 00:51:32.577898 : Epoch  1, Batch   1291, Loss  0.881452, Average Loss  0.880246, Time  0.240283
2021-09-16 00:51:35.156062 : Epoch  1, Batch   1292, Loss  0.873788, Average Loss  0.880231, Time  0.240459
2021-09-16 00:51:37.739707 : Epoch  1, Batch   1293, Loss  0.883928, Average Loss  0.880305, Time  0.240669
2021-09-16 00:51:40.320403 : Epoch  1, Batch   1294, Loss  0.875982, Average Loss  0.880313, Time  0.241164
2021-09-16 00:51:42.900141 : Epoch  1, Batch   1295, Loss  0.872777, Average Loss  0.880243, Time  0.242452
2021-09-16 00:51:45.510418 : Epoch  1, Batch   1296, Loss  0.887235, Average Loss  0.880212, Time  0.241022
2021-09-16 00:51:48.085073 : Epoch  1, Batch   1297, Loss  0.907282, Average Loss  0.880153, Time  0.241455
2021-09-16 00:51:50.672205 : Epoch  1, Batch   1298, Loss  0.840294, Average Loss  0.879986, Time  0.240224
2021-09-16 00:51:53.242428 : Epoch  1, Batch   1299, Loss  0.878781, Average Loss  0.880015, Time  0.243031
2021-09-16 00:51:55.832239 : Epoch  1, Batch   1300, Loss  0.874988, Average Loss  0.879879, Time  0.240795
2021-09-16 00:54:57.820629 : CheckPoint: Validation Loss  0.00030445, Best Loss  0.00029379
2021-09-16 00:55:00.824641 : Epoch  4, Batch    333, Loss  0.861437, Average Loss  0.869030, Time  0.278295
2021-09-16 00:55:03.840448 : Epoch  4, Batch    334, Loss  0.872853, Average Loss  0.869003, Time  0.266267
2021-09-16 00:55:06.867555 : Epoch  4, Batch    335, Loss  0.860965, Average Loss  0.868955, Time  0.265570
2021-09-16 00:55:09.853713 : Epoch  4, Batch    336, Loss  0.890296, Average Loss  0.869019, Time  0.265505
2021-09-16 00:55:12.853402 : Epoch  4, Batch    337, Loss  0.885411, Average Loss  0.869113, Time  0.265666
2021-09-16 00:55:15.848516 : Epoch  4, Batch    338, Loss  0.871023, Average Loss  0.869104, Time  0.265048
2021-09-16 00:55:18.855630 : Epoch  4, Batch    339, Loss  0.872826, Average Loss  0.869178, Time  0.266074
2021-09-16 00:55:21.857009 : Epoch  4, Batch    340, Loss  0.876557, Average Loss  0.869120, Time  0.264862
2021-09-16 00:55:24.866919 : Epoch  4, Batch    341, Loss  0.858965, Average Loss  0.869170, Time  0.269366
2021-09-16 00:55:27.875112 : Epoch  4, Batch    342, Loss  0.852393, Average Loss  0.869107, Time  0.266081
2021-09-16 00:55:30.881655 : Epoch  4, Batch    343, Loss  0.885191, Average Loss  0.869175, Time  0.267449
2021-09-16 00:55:33.891490 : Epoch  4, Batch    344, Loss  0.872525, Average Loss  0.869187, Time  0.266618
2021-09-16 00:55:36.889339 : Epoch  4, Batch    345, Loss  0.871325, Average Loss  0.869175, Time  0.266620
2021-09-16 00:55:39.868349 : Epoch  4, Batch    346, Loss  0.898336, Average Loss  0.869394, Time  0.265848
2021-09-16 00:55:42.878490 : Epoch  4, Batch    347, Loss  0.880670, Average Loss  0.869450, Time  0.264945
2021-09-16 00:55:45.869283 : Epoch  4, Batch    348, Loss  0.874876, Average Loss  0.869458, Time  0.279629
2021-09-16 00:55:48.872455 : Epoch  4, Batch    349, Loss  0.876116, Average Loss  0.869374, Time  0.265898
2021-09-16 00:55:51.856856 : Epoch  4, Batch    350, Loss  0.881196, Average Loss  0.869434, Time  0.266128
2021-09-16 00:55:54.858618 : Epoch  4, Batch    351, Loss  0.868306, Average Loss  0.869358, Time  0.265141
2021-09-16 00:55:57.842283 : Epoch  4, Batch    352, Loss  0.867998, Average Loss  0.869319, Time  0.265174
2021-09-16 00:55:59.672801 : CheckPoint: Validation Loss  0.00029938, Best Loss  0.00029938
2021-09-16 00:55:59.713963 : Best Model Updated
2021-09-16 00:56:00.826420 : Epoch  4, Batch    353, Loss  0.850926, Average Loss  0.869241, Time  0.265049
2021-09-16 00:56:03.117067 : Epoch  1, Batch   1301, Loss  0.874328, Average Loss  0.879810, Time  0.244604
2021-09-16 00:56:03.816932 : Epoch  4, Batch    354, Loss  0.854954, Average Loss  0.869218, Time  0.266001
2021-09-16 00:56:05.703147 : Epoch  1, Batch   1302, Loss  0.887899, Average Loss  0.879851, Time  0.240319
2021-09-16 00:56:06.834810 : Epoch  4, Batch    355, Loss  0.867444, Average Loss  0.869244, Time  0.265335
2021-09-16 00:56:08.285966 : Epoch  1, Batch   1303, Loss  0.894961, Average Loss  0.879772, Time  0.241169
2021-09-16 00:56:09.829079 : Epoch  4, Batch    356, Loss  0.885975, Average Loss  0.869358, Time  0.265110
2021-09-16 00:56:10.872286 : Epoch  1, Batch   1304, Loss  0.871239, Average Loss  0.879751, Time  0.240613
2021-09-16 00:56:12.835628 : Epoch  4, Batch    357, Loss  0.878073, Average Loss  0.869565, Time  0.265510
2021-09-16 00:56:13.456382 : Epoch  1, Batch   1305, Loss  0.870776, Average Loss  0.879690, Time  0.240510
2021-09-16 00:56:15.822627 : Epoch  4, Batch    358, Loss  0.874706, Average Loss  0.869759, Time  0.265269
2021-09-16 00:56:16.040412 : Epoch  1, Batch   1306, Loss  0.868448, Average Loss  0.879625, Time  0.240194
2021-09-16 00:56:18.616425 : Epoch  1, Batch   1307, Loss  0.876185, Average Loss  0.879535, Time  0.240692
2021-09-16 00:56:18.816777 : Epoch  4, Batch    359, Loss  0.868867, Average Loss  0.869756, Time  0.265699
2021-09-16 00:56:21.200364 : Epoch  1, Batch   1308, Loss  0.883237, Average Loss  0.879640, Time  0.241750
2021-09-16 00:56:21.807755 : Epoch  4, Batch    360, Loss  0.882847, Average Loss  0.869830, Time  0.265985
2021-09-16 00:56:23.788828 : Epoch  1, Batch   1309, Loss  0.873589, Average Loss  0.879564, Time  0.240824
2021-09-16 00:56:24.825774 : Epoch  4, Batch    361, Loss  0.849899, Average Loss  0.869657, Time  0.265556
2021-09-16 00:56:26.375401 : Epoch  1, Batch   1310, Loss  0.897118, Average Loss  0.879551, Time  0.240953
2021-09-16 00:56:27.830435 : Epoch  4, Batch    362, Loss  0.866777, Average Loss  0.869722, Time  0.267497
2021-09-16 00:56:28.957348 : Epoch  1, Batch   1311, Loss  0.869715, Average Loss  0.879629, Time  0.240773
2021-09-16 00:56:30.876680 : Epoch  4, Batch    363, Loss  0.854342, Average Loss  0.869731, Time  0.278089
2021-09-16 00:56:31.550927 : Epoch  1, Batch   1312, Loss  0.861290, Average Loss  0.879555, Time  0.241660
2021-09-16 00:56:33.874545 : Epoch  4, Batch    364, Loss  0.871231, Average Loss  0.869885, Time  0.266537
2021-09-16 00:56:34.139619 : Epoch  1, Batch   1313, Loss  0.871136, Average Loss  0.879467, Time  0.240186
2021-09-16 00:56:36.710820 : Epoch  1, Batch   1314, Loss  0.853241, Average Loss  0.879439, Time  0.244488
2021-09-16 00:56:36.860381 : Epoch  4, Batch    365, Loss  0.855255, Average Loss  0.869872, Time  0.265737
2021-09-16 00:56:39.290424 : Epoch  1, Batch   1315, Loss  0.879530, Average Loss  0.879515, Time  0.239812
2021-09-16 00:56:39.838163 : Epoch  4, Batch    366, Loss  0.885200, Average Loss  0.869995, Time  0.265649
2021-09-16 00:56:41.869395 : Epoch  1, Batch   1316, Loss  0.875166, Average Loss  0.879453, Time  0.239656
2021-09-16 00:56:42.856018 : Epoch  4, Batch    367, Loss  0.881137, Average Loss  0.869981, Time  0.265462
2021-09-16 00:56:44.438927 : Epoch  1, Batch   1317, Loss  0.879406, Average Loss  0.879435, Time  0.239840
2021-09-16 00:56:45.863364 : Epoch  4, Batch    368, Loss  0.865447, Average Loss  0.869977, Time  0.267048
2021-09-16 00:56:47.030441 : Epoch  1, Batch   1318, Loss  0.899506, Average Loss  0.879534, Time  0.242305
2021-09-16 00:56:48.853553 : Epoch  4, Batch    369, Loss  0.863194, Average Loss  0.870144, Time  0.265031
2021-09-16 00:56:49.613421 : Epoch  1, Batch   1319, Loss  0.887352, Average Loss  0.879557, Time  0.239714
2021-09-16 00:56:51.844038 : Epoch  4, Batch    370, Loss  0.877914, Average Loss  0.870231, Time  0.265075
2021-09-16 00:56:52.212419 : Epoch  1, Batch   1320, Loss  0.876768, Average Loss  0.879555, Time  0.240309
2021-09-16 00:56:54.782810 : Epoch  1, Batch   1321, Loss  0.891382, Average Loss  0.879596, Time  0.240067
2021-09-16 00:56:54.830685 : Epoch  4, Batch    371, Loss  0.867684, Average Loss  0.870216, Time  0.266067
2021-09-16 00:56:57.365840 : Epoch  1, Batch   1322, Loss  0.880508, Average Loss  0.879632, Time  0.241325
2021-09-16 00:56:57.871646 : Epoch  4, Batch    372, Loss  0.850499, Average Loss  0.870174, Time  0.265235
2021-09-16 00:56:59.953889 : Epoch  1, Batch   1323, Loss  0.876087, Average Loss  0.879658, Time  0.240299
2021-09-16 00:57:00.853356 : Epoch  4, Batch    373, Loss  0.861389, Average Loss  0.870074, Time  0.265612
2021-09-16 00:57:02.539852 : Epoch  1, Batch   1324, Loss  0.879128, Average Loss  0.879636, Time  0.241682
2021-09-16 00:57:03.873189 : Epoch  4, Batch    374, Loss  0.874770, Average Loss  0.870040, Time  0.264804
2021-09-16 00:57:05.114126 : Epoch  1, Batch   1325, Loss  0.866213, Average Loss  0.879482, Time  0.240092
2021-09-16 00:57:06.865321 : Epoch  4, Batch    375, Loss  0.867107, Average Loss  0.869987, Time  0.265095
2021-09-16 00:57:07.699209 : Epoch  1, Batch   1326, Loss  0.896853, Average Loss  0.879628, Time  0.241775
2021-09-16 00:57:09.857192 : Epoch  4, Batch    376, Loss  0.860141, Average Loss  0.869907, Time  0.266824
2021-09-16 00:57:10.285776 : Epoch  1, Batch   1327, Loss  0.875650, Average Loss  0.879564, Time  0.241571
2021-09-16 00:57:12.849548 : Epoch  4, Batch    377, Loss  0.893478, Average Loss  0.870043, Time  0.265368
2021-09-16 00:57:12.859199 : Epoch  1, Batch   1328, Loss  0.881765, Average Loss  0.879608, Time  0.240053
2021-09-16 00:57:15.468011 : Epoch  1, Batch   1329, Loss  0.881214, Average Loss  0.879646, Time  0.242705
2021-09-16 00:57:15.853047 : Epoch  4, Batch    378, Loss  0.874745, Average Loss  0.870004, Time  0.276555
2021-09-16 00:57:18.055468 : Epoch  1, Batch   1330, Loss  0.889542, Average Loss  0.879823, Time  0.241497
2021-09-16 00:57:18.839473 : Epoch  4, Batch    379, Loss  0.851298, Average Loss  0.869887, Time  0.266183
2021-09-16 00:57:20.641856 : Epoch  1, Batch   1331, Loss  0.882521, Average Loss  0.879848, Time  0.240160
2021-09-16 00:57:21.839741 : Epoch  4, Batch    380, Loss  0.862989, Average Loss  0.869800, Time  0.266701
2021-09-16 00:57:23.228845 : Epoch  1, Batch   1332, Loss  0.883566, Average Loss  0.879977, Time  0.239978
2021-09-16 00:57:24.842472 : Epoch  4, Batch    381, Loss  0.854658, Average Loss  0.869780, Time  0.265974
2021-09-16 00:57:25.840564 : Epoch  1, Batch   1333, Loss  0.893306, Average Loss  0.880080, Time  0.240954
2021-09-16 00:57:27.838542 : Epoch  4, Batch    382, Loss  0.887395, Average Loss  0.869940, Time  0.266833
2021-09-16 00:57:28.425942 : Epoch  1, Batch   1334, Loss  0.877856, Average Loss  0.880021, Time  0.240527
2021-09-16 00:57:30.880226 : Epoch  4, Batch    383, Loss  0.849642, Average Loss  0.869761, Time  0.267290
2021-09-16 00:57:31.009382 : Epoch  1, Batch   1335, Loss  0.875450, Average Loss  0.879918, Time  0.241015
2021-09-16 00:57:33.580846 : Epoch  1, Batch   1336, Loss  0.892835, Average Loss  0.879927, Time  0.240978
2021-09-16 00:57:33.925176 : Epoch  4, Batch    384, Loss  0.874286, Average Loss  0.869847, Time  0.266061
2021-09-16 00:57:36.163384 : Epoch  1, Batch   1337, Loss  0.896848, Average Loss  0.880020, Time  0.240080
2021-09-16 00:57:36.934866 : Epoch  4, Batch    385, Loss  0.843092, Average Loss  0.869681, Time  0.265593
2021-09-16 00:57:38.752439 : Epoch  1, Batch   1338, Loss  0.889089, Average Loss  0.880011, Time  0.241034
2021-09-16 00:57:39.925014 : Epoch  4, Batch    386, Loss  0.883166, Average Loss  0.869702, Time  0.266530
2021-09-16 00:57:41.329992 : Epoch  1, Batch   1339, Loss  0.872788, Average Loss  0.879960, Time  0.240746
2021-09-16 00:57:42.928808 : Epoch  4, Batch    387, Loss  0.887226, Average Loss  0.869754, Time  0.265060
2021-09-16 00:57:43.918587 : Epoch  1, Batch   1340, Loss  0.890981, Average Loss  0.880068, Time  0.240993
2021-09-16 00:57:45.931575 : Epoch  4, Batch    388, Loss  0.856268, Average Loss  0.869693, Time  0.265198
2021-09-16 00:57:46.508897 : Epoch  1, Batch   1341, Loss  0.867336, Average Loss  0.879937, Time  0.240655
2021-09-16 00:57:48.915568 : Epoch  4, Batch    389, Loss  0.852656, Average Loss  0.869481, Time  0.265507
2021-09-16 00:57:49.098142 : Epoch  1, Batch   1342, Loss  0.885580, Average Loss  0.879962, Time  0.241212
2021-09-16 00:57:51.666407 : Epoch  1, Batch   1343, Loss  0.858872, Average Loss  0.879806, Time  0.240112
2021-09-16 00:57:51.919725 : Epoch  4, Batch    390, Loss  0.886386, Average Loss  0.869513, Time  0.266191
2021-09-16 00:57:54.257442 : Epoch  1, Batch   1344, Loss  0.864963, Average Loss  0.879675, Time  0.240933
2021-09-16 00:57:54.932837 : Epoch  4, Batch    391, Loss  0.874917, Average Loss  0.869487, Time  0.265677
2021-09-16 00:57:56.843601 : Epoch  1, Batch   1345, Loss  0.858573, Average Loss  0.879591, Time  0.240815
2021-09-16 00:57:57.946876 : Epoch  4, Batch    392, Loss  0.871013, Average Loss  0.869466, Time  0.265499
2021-09-16 00:57:59.432124 : Epoch  1, Batch   1346, Loss  0.869232, Average Loss  0.879508, Time  0.241558
2021-09-16 00:58:00.957970 : Epoch  4, Batch    393, Loss  0.866978, Average Loss  0.869482, Time  0.277182
2021-09-16 00:58:02.021004 : Epoch  1, Batch   1347, Loss  0.897970, Average Loss  0.879683, Time  0.240107
2021-09-16 00:58:03.944345 : Epoch  4, Batch    394, Loss  0.856573, Average Loss  0.869351, Time  0.266088
2021-09-16 00:58:04.618869 : Epoch  1, Batch   1348, Loss  0.894093, Average Loss  0.879788, Time  0.242531
2021-09-16 00:58:06.938865 : Epoch  4, Batch    395, Loss  0.857737, Average Loss  0.869327, Time  0.266636
2021-09-16 00:58:07.216826 : Epoch  1, Batch   1349, Loss  0.879063, Average Loss  0.879700, Time  0.240189
2021-09-16 00:58:09.794201 : Epoch  1, Batch   1350, Loss  0.893225, Average Loss  0.879705, Time  0.241300
2021-09-16 00:58:09.932413 : Epoch  4, Batch    396, Loss  0.853562, Average Loss  0.869252, Time  0.264308
2021-09-16 00:58:12.386387 : Epoch  1, Batch   1351, Loss  0.882088, Average Loss  0.879682, Time  0.240569
2021-09-16 00:58:12.947605 : Epoch  4, Batch    397, Loss  0.899308, Average Loss  0.869458, Time  0.266048
2021-09-16 00:58:14.973036 : Epoch  1, Batch   1352, Loss  0.871469, Average Loss  0.879623, Time  0.242441
2021-09-16 00:58:15.958870 : Epoch  4, Batch    398, Loss  0.865900, Average Loss  0.869490, Time  0.265372
2021-09-16 00:58:17.560079 : Epoch  1, Batch   1353, Loss  0.889680, Average Loss  0.879716, Time  0.242499
2021-09-16 00:58:18.956267 : Epoch  4, Batch    399, Loss  0.855042, Average Loss  0.869466, Time  0.265111
2021-09-16 00:58:20.144715 : Epoch  1, Batch   1354, Loss  0.882590, Average Loss  0.879713, Time  0.240301
2021-09-16 00:58:21.942899 : Epoch  4, Batch    400, Loss  0.869118, Average Loss  0.869453, Time  0.265483
2021-09-16 00:58:22.739329 : Epoch  1, Batch   1355, Loss  0.873850, Average Loss  0.879741, Time  0.242207
2021-09-16 00:58:24.952740 : Epoch  4, Batch    401, Loss  0.862972, Average Loss  0.869491, Time  0.265280
2021-09-16 00:58:25.324993 : Epoch  1, Batch   1356, Loss  0.879270, Average Loss  0.879737, Time  0.241484
2021-09-16 00:58:27.904942 : Epoch  1, Batch   1357, Loss  0.893137, Average Loss  0.879721, Time  0.240544
2021-09-16 00:58:27.953441 : Epoch  4, Batch    402, Loss  0.869167, Average Loss  0.869575, Time  0.266995
2021-09-16 00:58:30.480942 : Epoch  1, Batch   1358, Loss  0.883092, Average Loss  0.879725, Time  0.240674
2021-09-16 00:58:30.959918 : Epoch  4, Batch    403, Loss  0.857946, Average Loss  0.869561, Time  0.266659
2021-09-16 00:58:33.067338 : Epoch  1, Batch   1359, Loss  0.903474, Average Loss  0.879813, Time  0.241349
2021-09-16 00:58:33.980512 : Epoch  4, Batch    404, Loss  0.872381, Average Loss  0.869568, Time  0.265744
2021-09-16 00:58:35.653694 : Epoch  1, Batch   1360, Loss  0.886951, Average Loss  0.879829, Time  0.242186
2021-09-16 00:58:36.963453 : Epoch  4, Batch    405, Loss  0.877045, Average Loss  0.869683, Time  0.265241
2021-09-16 00:58:38.248932 : Epoch  1, Batch   1361, Loss  0.871094, Average Loss  0.879749, Time  0.241518
2021-09-16 00:58:39.970566 : Epoch  4, Batch    406, Loss  0.849610, Average Loss  0.869687, Time  0.266846
2021-09-16 00:58:40.838891 : Epoch  1, Batch   1362, Loss  0.874710, Average Loss  0.879682, Time  0.240733
2021-09-16 00:58:42.982338 : Epoch  4, Batch    407, Loss  0.864212, Average Loss  0.869622, Time  0.265627
2021-09-16 00:58:43.427641 : Epoch  1, Batch   1363, Loss  0.892791, Average Loss  0.879733, Time  0.240108
2021-09-16 00:58:45.998401 : Epoch  4, Batch    408, Loss  0.834736, Average Loss  0.869453, Time  0.271676
2021-09-16 00:58:46.004964 : Epoch  1, Batch   1364, Loss  0.909587, Average Loss  0.879905, Time  0.240840
2021-09-16 00:58:48.620162 : Epoch  1, Batch   1365, Loss  0.885116, Average Loss  0.880051, Time  0.240109
2021-09-16 00:58:48.992313 : Epoch  4, Batch    409, Loss  0.872128, Average Loss  0.869482, Time  0.266145
2021-09-16 00:58:51.196874 : Epoch  1, Batch   1366, Loss  0.883182, Average Loss  0.880218, Time  0.240073
2021-09-16 00:58:52.018816 : Epoch  4, Batch    410, Loss  0.882181, Average Loss  0.869587, Time  0.266366
2021-09-16 00:58:53.789166 : Epoch  1, Batch   1367, Loss  0.843877, Average Loss  0.880007, Time  0.239961
2021-09-16 00:58:55.019137 : Epoch  4, Batch    411, Loss  0.892900, Average Loss  0.869605, Time  0.267745
2021-09-16 00:58:56.369217 : Epoch  1, Batch   1368, Loss  0.880652, Average Loss  0.879910, Time  0.240071
2021-09-16 00:58:58.036872 : Epoch  4, Batch    412, Loss  0.899948, Average Loss  0.869781, Time  0.264553
2021-09-16 00:58:58.942994 : Epoch  1, Batch   1369, Loss  0.871006, Average Loss  0.879822, Time  0.241452
2021-09-16 00:59:01.039544 : Epoch  4, Batch    413, Loss  0.899800, Average Loss  0.869921, Time  0.265122
2021-09-16 00:59:01.518220 : Epoch  1, Batch   1370, Loss  0.871629, Average Loss  0.879745, Time  0.240458
2021-09-16 00:59:04.034684 : Epoch  4, Batch    414, Loss  0.849962, Average Loss  0.869834, Time  0.265627
2021-09-16 00:59:04.084150 : Epoch  1, Batch   1371, Loss  0.871714, Average Loss  0.879713, Time  0.242480
2021-09-16 00:59:06.665863 : Epoch  1, Batch   1372, Loss  0.884318, Average Loss  0.879791, Time  0.240841
2021-09-16 00:59:07.016046 : Epoch  4, Batch    415, Loss  0.858037, Average Loss  0.869786, Time  0.266021
2021-09-16 00:59:09.251195 : Epoch  1, Batch   1373, Loss  0.880506, Average Loss  0.879802, Time  0.240824
2021-09-16 00:59:10.028623 : Epoch  4, Batch    416, Loss  0.869666, Average Loss  0.869795, Time  0.265012
2021-09-16 00:59:11.831963 : Epoch  1, Batch   1374, Loss  0.875856, Average Loss  0.879723, Time  0.240945
2021-09-16 00:59:13.010667 : Epoch  4, Batch    417, Loss  0.860402, Average Loss  0.869788, Time  0.265068
2021-09-16 00:59:14.441876 : Epoch  1, Batch   1375, Loss  0.878717, Average Loss  0.879507, Time  0.240467
2021-09-16 00:59:16.024196 : Epoch  4, Batch    418, Loss  0.887296, Average Loss  0.869937, Time  0.264777
2021-09-16 00:59:17.029932 : Epoch  1, Batch   1376, Loss  0.900799, Average Loss  0.879568, Time  0.241382
2021-09-16 00:59:19.033860 : Epoch  4, Batch    419, Loss  0.870334, Average Loss  0.869974, Time  0.265867
2021-09-16 00:59:19.620945 : Epoch  1, Batch   1377, Loss  0.880481, Average Loss  0.879564, Time  0.240935
2021-09-16 00:59:22.021899 : Epoch  4, Batch    420, Loss  0.871945, Average Loss  0.870104, Time  0.265580
2021-09-16 00:59:22.213130 : Epoch  1, Batch   1378, Loss  0.853858, Average Loss  0.879525, Time  0.241112
2021-09-16 00:59:24.789969 : Epoch  1, Batch   1379, Loss  0.885281, Average Loss  0.879618, Time  0.240437
2021-09-16 00:59:25.016885 : Epoch  4, Batch    421, Loss  0.867216, Average Loss  0.870219, Time  0.265277
2021-09-16 00:59:27.376744 : Epoch  1, Batch   1380, Loss  0.894462, Average Loss  0.879534, Time  0.241656
2021-09-16 00:59:27.987637 : Epoch  4, Batch    422, Loss  0.873712, Average Loss  0.870217, Time  0.266057
2021-09-16 00:59:29.961501 : Epoch  1, Batch   1381, Loss  0.879205, Average Loss  0.879593, Time  0.240905
2021-09-16 00:59:31.010367 : Epoch  4, Batch    423, Loss  0.870606, Average Loss  0.870281, Time  0.277920
2021-09-16 00:59:32.551891 : Epoch  1, Batch   1382, Loss  0.869449, Average Loss  0.879551, Time  0.241251
2021-09-16 00:59:34.021149 : Epoch  4, Batch    424, Loss  0.887274, Average Loss  0.870344, Time  0.267621
2021-09-16 00:59:35.145011 : Epoch  1, Batch   1383, Loss  0.886594, Average Loss  0.879611, Time  0.240716
2021-09-16 00:59:37.039895 : Epoch  4, Batch    425, Loss  0.871940, Average Loss  0.870347, Time  0.266868
2021-09-16 00:59:37.728921 : Epoch  1, Batch   1384, Loss  0.880426, Average Loss  0.879695, Time  0.240978
2021-09-16 00:59:40.057023 : Epoch  4, Batch    426, Loss  0.860918, Average Loss  0.870294, Time  0.264991
2021-09-16 00:59:40.313009 : Epoch  1, Batch   1385, Loss  0.884782, Average Loss  0.879615, Time  0.240092
2021-09-16 00:59:42.891949 : Epoch  1, Batch   1386, Loss  0.906968, Average Loss  0.879781, Time  0.240175
2021-09-16 00:59:43.053177 : Epoch  4, Batch    427, Loss  0.862564, Average Loss  0.870338, Time  0.265264
2021-09-16 00:59:45.480251 : Epoch  1, Batch   1387, Loss  0.876738, Average Loss  0.879727, Time  0.240865
2021-09-16 00:59:46.037619 : Epoch  4, Batch    428, Loss  0.874825, Average Loss  0.870320, Time  0.265485
2021-09-16 00:59:48.063934 : Epoch  1, Batch   1388, Loss  0.869014, Average Loss  0.879663, Time  0.239958
2021-09-16 00:59:49.039153 : Epoch  4, Batch    429, Loss  0.862833, Average Loss  0.870235, Time  0.265939
2021-09-16 00:59:50.650962 : Epoch  1, Batch   1389, Loss  0.875679, Average Loss  0.879614, Time  0.243420
2021-09-16 00:59:52.041349 : Epoch  4, Batch    430, Loss  0.880581, Average Loss  0.870318, Time  0.265526
2021-09-16 00:59:53.230960 : Epoch  1, Batch   1390, Loss  0.871679, Average Loss  0.879637, Time  0.240069
2021-09-16 00:59:55.035407 : Epoch  4, Batch    431, Loss  0.873792, Average Loss  0.870341, Time  0.264814
2021-09-16 00:59:55.812354 : Epoch  1, Batch   1391, Loss  0.884694, Average Loss  0.879657, Time  0.240264
2021-09-16 00:59:58.413937 : Epoch  1, Batch   1392, Loss  0.876812, Average Loss  0.879584, Time  0.241033
2021-09-16 01:00:01.003637 : Epoch  1, Batch   1393, Loss  0.877800, Average Loss  0.879644, Time  0.241611
2021-09-16 01:00:03.595778 : Epoch  1, Batch   1394, Loss  0.880295, Average Loss  0.879662, Time  0.241550
2021-09-16 01:00:06.054385 : Epoch  4, Batch    432, Loss  0.869874, Average Loss  0.870355, Time  0.266001
2021-09-16 01:00:06.179337 : Epoch  1, Batch   1395, Loss  0.876435, Average Loss  0.879556, Time  0.240394
2021-09-16 01:00:08.750754 : Epoch  1, Batch   1396, Loss  0.866222, Average Loss  0.879552, Time  0.240381
2021-09-16 01:00:11.333837 : Epoch  1, Batch   1397, Loss  0.877127, Average Loss  0.879581, Time  0.242270
2021-09-16 01:00:13.920103 : Epoch  1, Batch   1398, Loss  0.884509, Average Loss  0.879542, Time  0.240639
2021-09-16 01:00:16.500391 : Epoch  1, Batch   1399, Loss  0.881586, Average Loss  0.879483, Time  0.240613
2021-09-16 01:00:19.083092 : Epoch  1, Batch   1400, Loss  0.860729, Average Loss  0.879265, Time  0.240468
2021-09-16 01:04:23.905750 : CheckPoint: Validation Loss  0.00030623, Best Loss  0.00029938
2021-09-16 01:04:26.492896 : Epoch  1, Batch   1401, Loss  0.861226, Average Loss  0.879192, Time  0.241534
2021-09-16 01:04:29.078239 : Epoch  1, Batch   1402, Loss  0.859027, Average Loss  0.879091, Time  0.240778
2021-09-16 01:04:31.663030 : Epoch  1, Batch   1403, Loss  0.885285, Average Loss  0.879036, Time  0.240222
2021-09-16 01:04:34.254965 : Epoch  1, Batch   1404, Loss  0.873725, Average Loss  0.879101, Time  0.240417
2021-09-16 01:04:36.839032 : Epoch  1, Batch   1405, Loss  0.886008, Average Loss  0.879113, Time  0.240743
2021-09-16 01:04:39.429955 : Epoch  1, Batch   1406, Loss  0.864633, Average Loss  0.879025, Time  0.241813
2021-09-16 01:04:42.022398 : Epoch  1, Batch   1407, Loss  0.874045, Average Loss  0.879011, Time  0.239455
2021-09-16 01:04:43.504974 : CheckPoint: Validation Loss  0.00030414, Best Loss  0.00029379
2021-09-16 01:04:44.619462 : Epoch  1, Batch   1408, Loss  0.884206, Average Loss  0.879078, Time  0.239820
2021-09-16 01:04:46.503181 : Epoch  4, Batch    433, Loss  0.852520, Average Loss  0.870272, Time  0.268973
2021-09-16 01:04:47.212981 : Epoch  1, Batch   1409, Loss  0.873740, Average Loss  0.879076, Time  0.240841
2021-09-16 01:04:49.492037 : Epoch  4, Batch    434, Loss  0.890438, Average Loss  0.870452, Time  0.264815
2021-09-16 01:04:49.801450 : Epoch  1, Batch   1410, Loss  0.890033, Average Loss  0.879103, Time  0.240230
2021-09-16 01:04:52.387289 : Epoch  1, Batch   1411, Loss  0.869575, Average Loss  0.879120, Time  0.240501
2021-09-16 01:04:52.453700 : Epoch  4, Batch    435, Loss  0.849357, Average Loss  0.870372, Time  0.265474
2021-09-16 01:04:54.971462 : Epoch  1, Batch   1412, Loss  0.878326, Average Loss  0.879094, Time  0.240398
2021-09-16 01:04:55.451406 : Epoch  4, Batch    436, Loss  0.886507, Average Loss  0.870393, Time  0.265982
2021-09-16 01:04:57.550233 : Epoch  1, Batch   1413, Loss  0.876132, Average Loss  0.879115, Time  0.240059
2021-09-16 01:04:58.419593 : Epoch  4, Batch    437, Loss  0.881229, Average Loss  0.870395, Time  0.265393
2021-09-16 01:05:00.138400 : Epoch  1, Batch   1414, Loss  0.872343, Average Loss  0.879124, Time  0.240733
2021-09-16 01:05:01.432292 : Epoch  4, Batch    438, Loss  0.868813, Average Loss  0.870390, Time  0.280061
2021-09-16 01:05:02.743418 : Epoch  1, Batch   1415, Loss  0.876685, Average Loss  0.879131, Time  0.240476
2021-09-16 01:05:04.427246 : Epoch  4, Batch    439, Loss  0.860782, Average Loss  0.870297, Time  0.266047
2021-09-16 01:05:05.347446 : Epoch  1, Batch   1416, Loss  0.870902, Average Loss  0.879016, Time  0.242039
2021-09-16 01:05:07.447844 : Epoch  4, Batch    440, Loss  0.880827, Average Loss  0.870328, Time  0.266858
2021-09-16 01:05:07.925352 : Epoch  1, Batch   1417, Loss  0.880141, Average Loss  0.879055, Time  0.240041
2021-09-16 01:05:10.462436 : Epoch  4, Batch    441, Loss  0.865510, Average Loss  0.870282, Time  0.266125
2021-09-16 01:05:10.504383 : Epoch  1, Batch   1418, Loss  0.885445, Average Loss  0.879091, Time  0.240808
2021-09-16 01:05:13.091898 : Epoch  1, Batch   1419, Loss  0.874700, Average Loss  0.879017, Time  0.242901
2021-09-16 01:05:13.442524 : Epoch  4, Batch    442, Loss  0.882966, Average Loss  0.870335, Time  0.265621
2021-09-16 01:05:15.676446 : Epoch  1, Batch   1420, Loss  0.881978, Average Loss  0.879024, Time  0.239982
2021-09-16 01:05:16.482761 : Epoch  4, Batch    443, Loss  0.879203, Average Loss  0.870289, Time  0.266241
2021-09-16 01:05:18.287695 : Epoch  1, Batch   1421, Loss  0.867878, Average Loss  0.879095, Time  0.239793
2021-09-16 01:05:19.466177 : Epoch  4, Batch    444, Loss  0.859231, Average Loss  0.870183, Time  0.265531
2021-09-16 01:05:20.875110 : Epoch  1, Batch   1422, Loss  0.884569, Average Loss  0.879146, Time  0.240792
2021-09-16 01:05:22.457363 : Epoch  4, Batch    445, Loss  0.880625, Average Loss  0.870166, Time  0.265312
2021-09-16 01:05:23.463052 : Epoch  1, Batch   1423, Loss  0.879968, Average Loss  0.879149, Time  0.241753
2021-09-16 01:05:25.428825 : Epoch  4, Batch    446, Loss  0.871347, Average Loss  0.870123, Time  0.265139
2021-09-16 01:05:26.056027 : Epoch  1, Batch   1424, Loss  0.896393, Average Loss  0.879221, Time  0.240961
2021-09-16 01:05:28.431685 : Epoch  4, Batch    447, Loss  0.868935, Average Loss  0.870117, Time  0.265972
2021-09-16 01:05:28.637431 : Epoch  1, Batch   1425, Loss  0.893002, Average Loss  0.879248, Time  0.239794
2021-09-16 01:05:31.219685 : Epoch  1, Batch   1426, Loss  0.891757, Average Loss  0.879396, Time  0.241576
2021-09-16 01:05:31.419042 : Epoch  4, Batch    448, Loss  0.867588, Average Loss  0.870172, Time  0.266054
2021-09-16 01:05:33.825802 : Epoch  1, Batch   1427, Loss  0.887312, Average Loss  0.879299, Time  0.241196
2021-09-16 01:05:34.410637 : Epoch  4, Batch    449, Loss  0.880290, Average Loss  0.870269, Time  0.265106
2021-09-16 01:05:36.427757 : Epoch  1, Batch   1428, Loss  0.893768, Average Loss  0.879419, Time  0.240263
2021-09-16 01:05:37.386332 : Epoch  4, Batch    450, Loss  0.880507, Average Loss  0.870266, Time  0.265587
2021-09-16 01:05:39.010145 : Epoch  1, Batch   1429, Loss  0.866157, Average Loss  0.879402, Time  0.240184
2021-09-16 01:05:40.362576 : Epoch  4, Batch    451, Loss  0.854190, Average Loss  0.870113, Time  0.264741
2021-09-16 01:05:41.589524 : Epoch  1, Batch   1430, Loss  0.887115, Average Loss  0.879449, Time  0.240169
2021-09-16 01:05:43.322711 : Epoch  4, Batch    452, Loss  0.862000, Average Loss  0.870038, Time  0.264807
2021-09-16 01:05:44.202664 : Epoch  1, Batch   1431, Loss  0.872503, Average Loss  0.879471, Time  0.239839
2021-09-16 01:05:46.305473 : Epoch  4, Batch    453, Loss  0.871044, Average Loss  0.870040, Time  0.271764
2021-09-16 01:05:46.791741 : Epoch  1, Batch   1432, Loss  0.874181, Average Loss  0.879422, Time  0.240822
2021-09-16 01:05:49.282873 : Epoch  4, Batch    454, Loss  0.879122, Average Loss  0.870094, Time  0.265232
2021-09-16 01:05:49.373702 : Epoch  1, Batch   1433, Loss  0.891348, Average Loss  0.879380, Time  0.240245
2021-09-16 01:05:51.959806 : Epoch  1, Batch   1434, Loss  0.891163, Average Loss  0.879504, Time  0.240385
2021-09-16 01:05:52.256576 : Epoch  4, Batch    455, Loss  0.888077, Average Loss  0.870137, Time  0.265300
2021-09-16 01:05:54.539257 : Epoch  1, Batch   1435, Loss  0.845975, Average Loss  0.879458, Time  0.242388
2021-09-16 01:05:55.251099 : Epoch  4, Batch    456, Loss  0.869022, Average Loss  0.870089, Time  0.265115
2021-09-16 01:05:57.120231 : Epoch  1, Batch   1436, Loss  0.896159, Average Loss  0.879632, Time  0.240429
2021-09-16 01:05:58.232535 : Epoch  4, Batch    457, Loss  0.879830, Average Loss  0.870137, Time  0.267844
2021-09-16 01:05:59.706660 : Epoch  1, Batch   1437, Loss  0.872057, Average Loss  0.879645, Time  0.240849
2021-09-16 01:06:01.238870 : Epoch  4, Batch    458, Loss  0.862766, Average Loss  0.870133, Time  0.268190
2021-09-16 01:06:02.283295 : Epoch  1, Batch   1438, Loss  0.894155, Average Loss  0.879769, Time  0.241215
2021-09-16 01:06:04.248610 : Epoch  4, Batch    459, Loss  0.872514, Average Loss  0.870234, Time  0.264933
2021-09-16 01:06:04.876081 : Epoch  1, Batch   1439, Loss  0.888996, Average Loss  0.879792, Time  0.241508
2021-09-16 01:06:07.253622 : Epoch  4, Batch    460, Loss  0.868832, Average Loss  0.870162, Time  0.266987
2021-09-16 01:06:07.468350 : Epoch  1, Batch   1440, Loss  0.885778, Average Loss  0.879915, Time  0.240885
2021-09-16 01:06:10.036229 : Epoch  1, Batch   1441, Loss  0.850127, Average Loss  0.879731, Time  0.240558
2021-09-16 01:06:10.270101 : Epoch  4, Batch    461, Loss  0.875603, Average Loss  0.870317, Time  0.266311
2021-09-16 01:06:12.612019 : Epoch  1, Batch   1442, Loss  0.853649, Average Loss  0.879628, Time  0.240595
2021-09-16 01:06:13.270534 : Epoch  4, Batch    462, Loss  0.872600, Average Loss  0.870268, Time  0.265726
2021-09-16 01:06:15.202028 : Epoch  1, Batch   1443, Loss  0.874255, Average Loss  0.879454, Time  0.240261
2021-09-16 01:06:16.296165 : Epoch  4, Batch    463, Loss  0.883847, Average Loss  0.870390, Time  0.265870
2021-09-16 01:06:17.784331 : Epoch  1, Batch   1444, Loss  0.887916, Average Loss  0.879511, Time  0.239844
2021-09-16 01:06:19.295572 : Epoch  4, Batch    464, Loss  0.893068, Average Loss  0.870569, Time  0.265542
2021-09-16 01:06:20.367975 : Epoch  1, Batch   1445, Loss  0.882474, Average Loss  0.879470, Time  0.240403
2021-09-16 01:06:22.274948 : Epoch  4, Batch    465, Loss  0.888519, Average Loss  0.870587, Time  0.266176
2021-09-16 01:06:22.951971 : Epoch  1, Batch   1446, Loss  0.869281, Average Loss  0.879343, Time  0.241632
2021-09-16 01:06:25.285708 : Epoch  4, Batch    466, Loss  0.856539, Average Loss  0.870550, Time  0.266168
2021-09-16 01:06:25.533170 : Epoch  1, Batch   1447, Loss  0.870086, Average Loss  0.879291, Time  0.240364
2021-09-16 01:06:28.109854 : Epoch  1, Batch   1448, Loss  0.891476, Average Loss  0.879304, Time  0.240300
2021-09-16 01:06:28.288710 : Epoch  4, Batch    467, Loss  0.858033, Average Loss  0.870561, Time  0.266745
2021-09-16 01:06:30.689007 : Epoch  1, Batch   1449, Loss  0.861390, Average Loss  0.879215, Time  0.240572
2021-09-16 01:06:31.299196 : Epoch  4, Batch    468, Loss  0.879090, Average Loss  0.870619, Time  0.279150
2021-09-16 01:06:33.274935 : Epoch  1, Batch   1450, Loss  0.882842, Average Loss  0.879214, Time  0.240756
2021-09-16 01:06:34.299941 : Epoch  4, Batch    469, Loss  0.867096, Average Loss  0.870621, Time  0.266456
2021-09-16 01:06:35.859432 : Epoch  1, Batch   1451, Loss  0.881837, Average Loss  0.879327, Time  0.240542
2021-09-16 01:06:37.273463 : Epoch  4, Batch    470, Loss  0.861755, Average Loss  0.870499, Time  0.265213
2021-09-16 01:06:38.450867 : Epoch  1, Batch   1452, Loss  0.892960, Average Loss  0.879286, Time  0.240193
2021-09-16 01:06:40.244324 : Epoch  4, Batch    471, Loss  0.877288, Average Loss  0.870510, Time  0.265559
2021-09-16 01:06:41.045150 : Epoch  1, Batch   1453, Loss  0.899192, Average Loss  0.879340, Time  0.240445
2021-09-16 01:06:43.225840 : Epoch  4, Batch    472, Loss  0.874122, Average Loss  0.870480, Time  0.265630
2021-09-16 01:06:43.646852 : Epoch  1, Batch   1454, Loss  0.872668, Average Loss  0.879372, Time  0.241795
2021-09-16 01:06:46.216899 : Epoch  4, Batch    473, Loss  0.884787, Average Loss  0.870735, Time  0.265073
2021-09-16 01:06:46.237706 : Epoch  1, Batch   1455, Loss  0.874497, Average Loss  0.879413, Time  0.240024
2021-09-16 01:06:48.867364 : Epoch  1, Batch   1456, Loss  0.884159, Average Loss  0.879551, Time  0.241252
2021-09-16 01:06:49.191472 : Epoch  4, Batch    474, Loss  0.848090, Average Loss  0.870653, Time  0.264857
2021-09-16 01:06:51.457824 : Epoch  1, Batch   1457, Loss  0.867127, Average Loss  0.879419, Time  0.241210
2021-09-16 01:06:52.155931 : Epoch  4, Batch    475, Loss  0.887866, Average Loss  0.870766, Time  0.264947
2021-09-16 01:06:54.045938 : Epoch  1, Batch   1458, Loss  0.882710, Average Loss  0.879473, Time  0.242099
2021-09-16 01:06:55.151112 : Epoch  4, Batch    476, Loss  0.876896, Average Loss  0.870801, Time  0.266234
2021-09-16 01:06:56.629979 : Epoch  1, Batch   1459, Loss  0.866028, Average Loss  0.879443, Time  0.240309
2021-09-16 01:06:58.157625 : Epoch  4, Batch    477, Loss  0.876682, Average Loss  0.870805, Time  0.266573
2021-09-16 01:06:59.210333 : Epoch  1, Batch   1460, Loss  0.888201, Average Loss  0.879510, Time  0.241187
2021-09-16 01:07:01.183829 : Epoch  4, Batch    478, Loss  0.875654, Average Loss  0.870828, Time  0.266572
2021-09-16 01:07:01.794433 : Epoch  1, Batch   1461, Loss  0.883332, Average Loss  0.879540, Time  0.240103
2021-09-16 01:07:04.201417 : Epoch  4, Batch    479, Loss  0.862758, Average Loss  0.870747, Time  0.265569
2021-09-16 01:07:04.380893 : Epoch  1, Batch   1462, Loss  0.886042, Average Loss  0.879553, Time  0.240825
2021-09-16 01:07:06.960697 : Epoch  1, Batch   1463, Loss  0.884467, Average Loss  0.879462, Time  0.240699
2021-09-16 01:07:07.186144 : Epoch  4, Batch    480, Loss  0.865446, Average Loss  0.870629, Time  0.266565
2021-09-16 01:07:09.549403 : Epoch  1, Batch   1464, Loss  0.884216, Average Loss  0.879415, Time  0.240476
2021-09-16 01:07:10.154359 : Epoch  4, Batch    481, Loss  0.853511, Average Loss  0.870589, Time  0.265989
2021-09-16 01:07:12.143183 : Epoch  1, Batch   1465, Loss  0.875588, Average Loss  0.879489, Time  0.240705
2021-09-16 01:07:13.136871 : Epoch  4, Batch    482, Loss  0.880967, Average Loss  0.870661, Time  0.266659
2021-09-16 01:07:14.736251 : Epoch  1, Batch   1466, Loss  0.874553, Average Loss  0.879498, Time  0.240302
2021-09-16 01:07:16.151284 : Epoch  4, Batch    483, Loss  0.858917, Average Loss  0.870618, Time  0.277408
2021-09-16 01:07:17.326839 : Epoch  1, Batch   1467, Loss  0.879832, Average Loss  0.879417, Time  0.242335
2021-09-16 01:07:19.146782 : Epoch  4, Batch    484, Loss  0.874184, Average Loss  0.870649, Time  0.265282
2021-09-16 01:07:19.915454 : Epoch  1, Batch   1468, Loss  0.873302, Average Loss  0.879400, Time  0.239758
2021-09-16 01:07:22.118444 : Epoch  4, Batch    485, Loss  0.859258, Average Loss  0.870688, Time  0.266232
2021-09-16 01:07:22.506051 : Epoch  1, Batch   1469, Loss  0.856337, Average Loss  0.879382, Time  0.240008
2021-09-16 01:07:25.077451 : Epoch  1, Batch   1470, Loss  0.882419, Average Loss  0.879339, Time  0.240409
2021-09-16 01:07:25.131717 : Epoch  4, Batch    486, Loss  0.847096, Average Loss  0.870539, Time  0.267349
2021-09-16 01:07:27.660014 : Epoch  1, Batch   1471, Loss  0.864179, Average Loss  0.879178, Time  0.241219
2021-09-16 01:07:28.133067 : Epoch  4, Batch    487, Loss  0.886267, Average Loss  0.870691, Time  0.266319
2021-09-16 01:07:30.243085 : Epoch  1, Batch   1472, Loss  0.894501, Average Loss  0.879284, Time  0.240379
2021-09-16 01:07:31.200894 : Epoch  4, Batch    488, Loss  0.866333, Average Loss  0.870656, Time  0.266662
2021-09-16 01:07:32.827346 : Epoch  1, Batch   1473, Loss  0.882971, Average Loss  0.879227, Time  0.240650
2021-09-16 01:07:34.188956 : Epoch  4, Batch    489, Loss  0.846806, Average Loss  0.870654, Time  0.265724
2021-09-16 01:07:35.416423 : Epoch  1, Batch   1474, Loss  0.865466, Average Loss  0.879137, Time  0.240443
2021-09-16 01:07:37.191770 : Epoch  4, Batch    490, Loss  0.876546, Average Loss  0.870649, Time  0.265417
2021-09-16 01:07:38.002411 : Epoch  1, Batch   1475, Loss  0.906496, Average Loss  0.879261, Time  0.239913
2021-09-16 01:07:40.191909 : Epoch  4, Batch    491, Loss  0.851653, Average Loss  0.870682, Time  0.265841
2021-09-16 01:07:40.580755 : Epoch  1, Batch   1476, Loss  0.881430, Average Loss  0.879345, Time  0.240406
2021-09-16 01:07:43.156751 : Epoch  1, Batch   1477, Loss  0.866516, Average Loss  0.879380, Time  0.240108
2021-09-16 01:07:43.173883 : Epoch  4, Batch    492, Loss  0.889994, Average Loss  0.870736, Time  0.265398
2021-09-16 01:07:45.734845 : Epoch  1, Batch   1478, Loss  0.883904, Average Loss  0.879396, Time  0.240393
2021-09-16 01:07:46.188377 : Epoch  4, Batch    493, Loss  0.894692, Average Loss  0.870850, Time  0.264667
2021-09-16 01:07:48.326026 : Epoch  1, Batch   1479, Loss  0.864424, Average Loss  0.879308, Time  0.242197
2021-09-16 01:07:49.192575 : Epoch  4, Batch    494, Loss  0.877110, Average Loss  0.870826, Time  0.266687
2021-09-16 01:07:50.915472 : Epoch  1, Batch   1480, Loss  0.864513, Average Loss  0.879243, Time  0.240469
2021-09-16 01:07:52.196650 : Epoch  4, Batch    495, Loss  0.872963, Average Loss  0.870877, Time  0.265814
2021-09-16 01:07:53.508483 : Epoch  1, Batch   1481, Loss  0.866620, Average Loss  0.879236, Time  0.241788
2021-09-16 01:07:55.193366 : Epoch  4, Batch    496, Loss  0.880171, Average Loss  0.870967, Time  0.265164
2021-09-16 01:07:56.083021 : Epoch  1, Batch   1482, Loss  0.889307, Average Loss  0.879170, Time  0.241140
2021-09-16 01:07:58.178126 : Epoch  4, Batch    497, Loss  0.870679, Average Loss  0.870925, Time  0.265316
2021-09-16 01:07:58.675885 : Epoch  1, Batch   1483, Loss  0.875539, Average Loss  0.879226, Time  0.244056
2021-09-16 01:08:01.166281 : Epoch  4, Batch    498, Loss  0.888413, Average Loss  0.871058, Time  0.273741
2021-09-16 01:08:01.254062 : Epoch  1, Batch   1484, Loss  0.877720, Average Loss  0.879158, Time  0.240406
2021-09-16 01:08:03.839191 : Epoch  1, Batch   1485, Loss  0.868915, Average Loss  0.879199, Time  0.240943
2021-09-16 01:08:04.154296 : Epoch  4, Batch    499, Loss  0.877868, Average Loss  0.871169, Time  0.268675
2021-09-16 01:08:06.426344 : Epoch  1, Batch   1486, Loss  0.875751, Average Loss  0.879161, Time  0.240432
2021-09-16 01:08:07.141644 : Epoch  4, Batch    500, Loss  0.872223, Average Loss  0.871283, Time  0.265543
2021-09-16 01:08:09.006136 : Epoch  1, Batch   1487, Loss  0.883621, Average Loss  0.879257, Time  0.240492
2021-09-16 01:08:10.130795 : Epoch  4, Batch    501, Loss  0.864261, Average Loss  0.871210, Time  0.266813
2021-09-16 01:08:11.585260 : Epoch  1, Batch   1488, Loss  0.861482, Average Loss  0.879094, Time  0.240093
2021-09-16 01:08:13.151347 : Epoch  4, Batch    502, Loss  0.889841, Average Loss  0.871306, Time  0.267072
2021-09-16 01:08:14.174843 : Epoch  1, Batch   1489, Loss  0.872406, Average Loss  0.878997, Time  0.240241
2021-09-16 01:08:16.147558 : Epoch  4, Batch    503, Loss  0.891168, Average Loss  0.871376, Time  0.265631
2021-09-16 01:08:16.756850 : Epoch  1, Batch   1490, Loss  0.882300, Average Loss  0.878956, Time  0.240294
2021-09-16 01:08:19.122127 : Epoch  4, Batch    504, Loss  0.875133, Average Loss  0.871323, Time  0.265263
2021-09-16 01:08:19.338377 : Epoch  1, Batch   1491, Loss  0.892319, Average Loss  0.879011, Time  0.240119
2021-09-16 01:08:21.906743 : Epoch  1, Batch   1492, Loss  0.854717, Average Loss  0.878915, Time  0.240027
2021-09-16 01:08:22.094035 : Epoch  4, Batch    505, Loss  0.860676, Average Loss  0.871260, Time  0.265544
2021-09-16 01:08:24.484050 : Epoch  1, Batch   1493, Loss  0.888129, Average Loss  0.878936, Time  0.240062
2021-09-16 01:08:25.070837 : Epoch  4, Batch    506, Loss  0.866172, Average Loss  0.871277, Time  0.265233
2021-09-16 01:08:27.075867 : Epoch  1, Batch   1494, Loss  0.891013, Average Loss  0.879012, Time  0.243651
2021-09-16 01:08:28.069229 : Epoch  4, Batch    507, Loss  0.881265, Average Loss  0.871384, Time  0.265958
2021-09-16 01:08:29.672999 : Epoch  1, Batch   1495, Loss  0.876099, Average Loss  0.879028, Time  0.241080
2021-09-16 01:08:31.065012 : Epoch  4, Batch    508, Loss  0.860181, Average Loss  0.871338, Time  0.265915
2021-09-16 01:08:32.256459 : Epoch  1, Batch   1496, Loss  0.858645, Average Loss  0.878885, Time  0.239956
2021-09-16 01:08:34.083572 : Epoch  4, Batch    509, Loss  0.882363, Average Loss  0.871340, Time  0.266202
2021-09-16 01:08:34.828224 : Epoch  1, Batch   1497, Loss  0.879911, Average Loss  0.878748, Time  0.240526
2021-09-16 01:08:37.067895 : Epoch  4, Batch    510, Loss  0.881037, Average Loss  0.871353, Time  0.266295
2021-09-16 01:08:37.412965 : Epoch  1, Batch   1498, Loss  0.878172, Average Loss  0.878938, Time  0.240636
2021-09-16 01:08:39.981447 : Epoch  1, Batch   1499, Loss  0.849193, Average Loss  0.878790, Time  0.240539
2021-09-16 01:08:40.091763 : Epoch  4, Batch    511, Loss  0.889865, Average Loss  0.871519, Time  0.265564
2021-09-16 01:08:42.561903 : Epoch  1, Batch   1500, Loss  0.872003, Average Loss  0.878775, Time  0.240941
2021-09-16 01:08:43.071333 : Epoch  4, Batch    512, Loss  0.861022, Average Loss  0.871460, Time  0.265462
2021-09-16 01:08:46.062479 : Epoch  4, Batch    513, Loss  0.874107, Average Loss  0.871457, Time  0.276682
2021-09-16 01:08:49.040054 : Epoch  4, Batch    514, Loss  0.875981, Average Loss  0.871519, Time  0.265324
2021-09-16 01:08:52.017635 : Epoch  4, Batch    515, Loss  0.861370, Average Loss  0.871373, Time  0.265199
2021-09-16 01:08:54.999831 : Epoch  4, Batch    516, Loss  0.881342, Average Loss  0.871505, Time  0.265879
2021-09-16 01:08:58.006144 : Epoch  4, Batch    517, Loss  0.849216, Average Loss  0.871330, Time  0.266126
2021-09-16 01:09:01.018776 : Epoch  4, Batch    518, Loss  0.858830, Average Loss  0.871213, Time  0.266303
2021-09-16 01:09:03.994124 : Epoch  4, Batch    519, Loss  0.881069, Average Loss  0.871282, Time  0.268283
2021-09-16 01:09:07.024040 : Epoch  4, Batch    520, Loss  0.898620, Average Loss  0.871414, Time  0.266566
2021-09-16 01:09:10.020798 : Epoch  4, Batch    521, Loss  0.876899, Average Loss  0.871524, Time  0.265996
2021-09-16 01:09:13.027946 : Epoch  4, Batch    522, Loss  0.867928, Average Loss  0.871431, Time  0.265282
2021-09-16 01:09:16.043657 : Epoch  4, Batch    523, Loss  0.879037, Average Loss  0.871400, Time  0.265179
2021-09-16 01:09:19.024319 : Epoch  4, Batch    524, Loss  0.871106, Average Loss  0.871453, Time  0.265309
2021-09-16 01:09:22.007401 : Epoch  4, Batch    525, Loss  0.865771, Average Loss  0.871367, Time  0.266383
2021-09-16 01:09:25.016797 : Epoch  4, Batch    526, Loss  0.858806, Average Loss  0.871198, Time  0.265501
2021-09-16 01:09:28.025916 : Epoch  4, Batch    527, Loss  0.858725, Average Loss  0.871097, Time  0.265758
2021-09-16 01:09:31.031727 : Epoch  4, Batch    528, Loss  0.867680, Average Loss  0.871154, Time  0.276171
2021-09-16 01:09:34.047607 : Epoch  4, Batch    529, Loss  0.864277, Average Loss  0.871098, Time  0.266692
2021-09-16 01:09:37.068869 : Epoch  4, Batch    530, Loss  0.868220, Average Loss  0.871145, Time  0.266183
2021-09-16 01:09:40.074993 : Epoch  4, Batch    531, Loss  0.878946, Average Loss  0.871119, Time  0.265938
2021-09-16 01:09:43.055285 : Epoch  4, Batch    532, Loss  0.883175, Average Loss  0.871054, Time  0.267365
2021-09-16 01:12:44.979766 : CheckPoint: Validation Loss  0.00029766, Best Loss  0.00029766
2021-09-16 01:12:45.022556 : Best Model Updated
2021-09-16 01:12:48.310855 : Epoch  1, Batch   1501, Loss  0.857280, Average Loss  0.878690, Time  0.241876
2021-09-16 01:12:50.909194 : Epoch  1, Batch   1502, Loss  0.861311, Average Loss  0.878557, Time  0.240078
2021-09-16 01:12:53.499935 : Epoch  1, Batch   1503, Loss  0.852943, Average Loss  0.878347, Time  0.239995
2021-09-16 01:12:56.083645 : Epoch  1, Batch   1504, Loss  0.877196, Average Loss  0.878376, Time  0.239903
2021-09-16 01:12:58.669857 : Epoch  1, Batch   1505, Loss  0.858379, Average Loss  0.878314, Time  0.240240
2021-09-16 01:13:01.259140 : Epoch  1, Batch   1506, Loss  0.880871, Average Loss  0.878377, Time  0.240215
2021-09-16 01:13:03.853833 : Epoch  1, Batch   1507, Loss  0.883929, Average Loss  0.878415, Time  0.241591
2021-09-16 01:13:06.438861 : Epoch  1, Batch   1508, Loss  0.871464, Average Loss  0.878356, Time  0.240597
2021-09-16 01:13:09.027024 : Epoch  1, Batch   1509, Loss  0.871368, Average Loss  0.878345, Time  0.242045
2021-09-16 01:13:11.613939 : Epoch  1, Batch   1510, Loss  0.880187, Average Loss  0.878261, Time  0.240577
2021-09-16 01:13:14.203761 : Epoch  1, Batch   1511, Loss  0.878987, Average Loss  0.878307, Time  0.240131
2021-09-16 01:13:16.790906 : Epoch  1, Batch   1512, Loss  0.867674, Average Loss  0.878339, Time  0.241934
2021-09-16 01:13:19.375345 : Epoch  1, Batch   1513, Loss  0.854793, Average Loss  0.878257, Time  0.240282
2021-09-16 01:13:21.972154 : Epoch  1, Batch   1514, Loss  0.894151, Average Loss  0.878462, Time  0.240551
2021-09-16 01:13:24.563776 : Epoch  1, Batch   1515, Loss  0.870621, Average Loss  0.878417, Time  0.244288
2021-09-16 01:13:27.151169 : Epoch  1, Batch   1516, Loss  0.905757, Average Loss  0.878570, Time  0.240075
2021-09-16 01:13:29.732225 : Epoch  1, Batch   1517, Loss  0.870889, Average Loss  0.878528, Time  0.240876
2021-09-16 01:13:32.315199 : Epoch  1, Batch   1518, Loss  0.870443, Average Loss  0.878382, Time  0.242552
2021-09-16 01:13:34.900460 : Epoch  1, Batch   1519, Loss  0.859828, Average Loss  0.878245, Time  0.241924
2021-09-16 01:13:37.478328 : Epoch  1, Batch   1520, Loss  0.900349, Average Loss  0.878363, Time  0.240611
2021-09-16 01:13:40.050420 : Epoch  1, Batch   1521, Loss  0.864835, Average Loss  0.878230, Time  0.240139
2021-09-16 01:13:42.644333 : Epoch  1, Batch   1522, Loss  0.893002, Average Loss  0.878292, Time  0.241538
2021-09-16 01:13:45.234408 : Epoch  1, Batch   1523, Loss  0.876970, Average Loss  0.878297, Time  0.240167
2021-09-16 01:13:47.848887 : Epoch  1, Batch   1524, Loss  0.881096, Average Loss  0.878307, Time  0.240039
2021-09-16 01:13:50.432847 : Epoch  1, Batch   1525, Loss  0.862132, Average Loss  0.878286, Time  0.240095
2021-09-16 01:13:53.063390 : Epoch  1, Batch   1526, Loss  0.881375, Average Loss  0.878209, Time  0.239646
2021-09-16 01:13:55.651221 : Epoch  1, Batch   1527, Loss  0.890801, Average Loss  0.878284, Time  0.239930
2021-09-16 01:13:58.231966 : Epoch  1, Batch   1528, Loss  0.857879, Average Loss  0.878165, Time  0.241386
2021-09-16 01:14:00.812709 : Epoch  1, Batch   1529, Loss  0.892357, Average Loss  0.878221, Time  0.239717
2021-09-16 01:14:03.394708 : Epoch  1, Batch   1530, Loss  0.884115, Average Loss  0.878194, Time  0.240822
2021-09-16 01:14:05.985996 : Epoch  1, Batch   1531, Loss  0.886056, Average Loss  0.878211, Time  0.239895
2021-09-16 01:14:08.568485 : Epoch  1, Batch   1532, Loss  0.881487, Average Loss  0.878201, Time  0.239686
2021-09-16 01:14:11.146100 : Epoch  1, Batch   1533, Loss  0.879736, Average Loss  0.878133, Time  0.241563
2021-09-16 01:14:13.723179 : Epoch  1, Batch   1534, Loss  0.864931, Average Loss  0.878068, Time  0.240385
2021-09-16 01:14:16.306805 : Epoch  1, Batch   1535, Loss  0.865793, Average Loss  0.878020, Time  0.242350
2021-09-16 01:14:18.899168 : Epoch  1, Batch   1536, Loss  0.876715, Average Loss  0.877940, Time  0.241814
2021-09-16 01:14:21.483827 : Epoch  1, Batch   1537, Loss  0.885904, Average Loss  0.877885, Time  0.242090
2021-09-16 01:14:22.802840 : CheckPoint: Validation Loss  0.00031211, Best Loss  0.00029379
2021-09-16 01:14:24.063637 : Epoch  1, Batch   1538, Loss  0.889418, Average Loss  0.877886, Time  0.244443
2021-09-16 01:14:25.800430 : Epoch  4, Batch    533, Loss  0.862379, Average Loss  0.871059, Time  0.266693
2021-09-16 01:14:26.639434 : Epoch  1, Batch   1539, Loss  0.874903, Average Loss  0.877897, Time  0.240706
2021-09-16 01:14:28.817351 : Epoch  4, Batch    534, Loss  0.870593, Average Loss  0.871048, Time  0.267571
2021-09-16 01:14:29.240433 : Epoch  1, Batch   1540, Loss  0.889959, Average Loss  0.877892, Time  0.240211
2021-09-16 01:14:31.809404 : Epoch  1, Batch   1541, Loss  0.862578, Average Loss  0.877868, Time  0.240795
2021-09-16 01:14:31.844138 : Epoch  4, Batch    535, Loss  0.875507, Average Loss  0.871120, Time  0.265859
2021-09-16 01:14:34.396456 : Epoch  1, Batch   1542, Loss  0.866963, Average Loss  0.877775, Time  0.239933
2021-09-16 01:14:34.887438 : Epoch  4, Batch    536, Loss  0.869682, Average Loss  0.871017, Time  0.267391
2021-09-16 01:14:36.993980 : Epoch  1, Batch   1543, Loss  0.855758, Average Loss  0.877759, Time  0.241624
2021-09-16 01:14:37.871133 : Epoch  4, Batch    537, Loss  0.859634, Average Loss  0.870888, Time  0.266647
2021-09-16 01:14:39.570741 : Epoch  1, Batch   1544, Loss  0.887328, Average Loss  0.877871, Time  0.240039
2021-09-16 01:14:40.864465 : Epoch  4, Batch    538, Loss  0.847304, Average Loss  0.870770, Time  0.265946
2021-09-16 01:14:42.164763 : Epoch  1, Batch   1545, Loss  0.858722, Average Loss  0.877872, Time  0.241521
2021-09-16 01:14:43.879764 : Epoch  4, Batch    539, Loss  0.869657, Average Loss  0.870754, Time  0.269143
2021-09-16 01:14:44.749318 : Epoch  1, Batch   1546, Loss  0.880490, Average Loss  0.877928, Time  0.241030
2021-09-16 01:14:46.908249 : Epoch  4, Batch    540, Loss  0.866762, Average Loss  0.870705, Time  0.265250
2021-09-16 01:14:47.333891 : Epoch  1, Batch   1547, Loss  0.868333, Average Loss  0.877780, Time  0.240654
2021-09-16 01:14:49.909502 : Epoch  4, Batch    541, Loss  0.875117, Average Loss  0.870786, Time  0.266216
2021-09-16 01:14:49.909403 : Epoch  1, Batch   1548, Loss  0.870926, Average Loss  0.877664, Time  0.240369
2021-09-16 01:14:52.510695 : Epoch  1, Batch   1549, Loss  0.862949, Average Loss  0.877584, Time  0.240016
2021-09-16 01:14:52.944799 : Epoch  4, Batch    542, Loss  0.870890, Average Loss  0.870878, Time  0.265878
2021-09-16 01:14:55.100869 : Epoch  1, Batch   1550, Loss  0.874946, Average Loss  0.877492, Time  0.240093
2021-09-16 01:14:55.943263 : Epoch  4, Batch    543, Loss  0.882141, Average Loss  0.870863, Time  0.275325
2021-09-16 01:14:57.690699 : Epoch  1, Batch   1551, Loss  0.871255, Average Loss  0.877438, Time  0.240023
2021-09-16 01:14:58.945293 : Epoch  4, Batch    544, Loss  0.863723, Average Loss  0.870819, Time  0.265803
2021-09-16 01:15:00.280408 : Epoch  1, Batch   1552, Loss  0.879306, Average Loss  0.877477, Time  0.240888
2021-09-16 01:15:01.944754 : Epoch  4, Batch    545, Loss  0.863449, Average Loss  0.870779, Time  0.265594
2021-09-16 01:15:02.869084 : Epoch  1, Batch   1553, Loss  0.890023, Average Loss  0.877479, Time  0.240268
2021-09-16 01:15:04.849729 : Epoch  4, Batch    546, Loss  0.847619, Average Loss  0.870526, Time  0.265195
2021-09-16 01:15:05.454984 : Epoch  1, Batch   1554, Loss  0.846189, Average Loss  0.877297, Time  0.240627
2021-09-16 01:15:07.837279 : Epoch  4, Batch    547, Loss  0.858912, Average Loss  0.870417, Time  0.265385
2021-09-16 01:15:08.041311 : Epoch  1, Batch   1555, Loss  0.867601, Average Loss  0.877266, Time  0.240946
2021-09-16 01:15:10.635417 : Epoch  1, Batch   1556, Loss  0.882160, Average Loss  0.877280, Time  0.240499
2021-09-16 01:15:10.822377 : Epoch  4, Batch    548, Loss  0.854992, Average Loss  0.870318, Time  0.266036
2021-09-16 01:15:13.220706 : Epoch  1, Batch   1557, Loss  0.851061, Average Loss  0.877070, Time  0.240151
2021-09-16 01:15:13.806901 : Epoch  4, Batch    549, Loss  0.878352, Average Loss  0.870329, Time  0.266293
2021-09-16 01:15:15.807691 : Epoch  1, Batch   1558, Loss  0.876990, Average Loss  0.877039, Time  0.240382
2021-09-16 01:15:16.810267 : Epoch  4, Batch    550, Loss  0.844142, Average Loss  0.870144, Time  0.266061
2021-09-16 01:15:18.393628 : Epoch  1, Batch   1559, Loss  0.860358, Average Loss  0.876824, Time  0.241683
2021-09-16 01:15:19.828512 : Epoch  4, Batch    551, Loss  0.883908, Average Loss  0.870222, Time  0.264778
2021-09-16 01:15:20.975722 : Epoch  1, Batch   1560, Loss  0.876038, Average Loss  0.876769, Time  0.239853
2021-09-16 01:15:22.812876 : Epoch  4, Batch    552, Loss  0.849879, Average Loss  0.870131, Time  0.264822
2021-09-16 01:15:23.564074 : Epoch  1, Batch   1561, Loss  0.874865, Average Loss  0.876788, Time  0.240142
2021-09-16 01:15:25.836781 : Epoch  4, Batch    553, Loss  0.884314, Average Loss  0.870298, Time  0.265876
2021-09-16 01:15:26.143063 : Epoch  1, Batch   1562, Loss  0.875889, Average Loss  0.876794, Time  0.240033
2021-09-16 01:15:28.733416 : Epoch  1, Batch   1563, Loss  0.870766, Average Loss  0.876684, Time  0.241110
2021-09-16 01:15:28.826507 : Epoch  4, Batch    554, Loss  0.894973, Average Loss  0.870498, Time  0.265480
2021-09-16 01:15:31.318899 : Epoch  1, Batch   1564, Loss  0.881189, Average Loss  0.876542, Time  0.241001
2021-09-16 01:15:31.784555 : Epoch  4, Batch    555, Loss  0.863088, Average Loss  0.870476, Time  0.265160
2021-09-16 01:15:33.907130 : Epoch  1, Batch   1565, Loss  0.867604, Average Loss  0.876454, Time  0.241458
2021-09-16 01:15:34.789808 : Epoch  4, Batch    556, Loss  0.861566, Average Loss  0.870354, Time  0.265700
2021-09-16 01:15:36.489201 : Epoch  1, Batch   1566, Loss  0.880122, Average Loss  0.876439, Time  0.241756
2021-09-16 01:15:37.779374 : Epoch  4, Batch    557, Loss  0.854924, Average Loss  0.870238, Time  0.266966
2021-09-16 01:15:39.074173 : Epoch  1, Batch   1567, Loss  0.866283, Average Loss  0.876551, Time  0.240914
2021-09-16 01:15:40.766864 : Epoch  4, Batch    558, Loss  0.882256, Average Loss  0.870276, Time  0.264823
2021-09-16 01:15:41.654906 : Epoch  1, Batch   1568, Loss  0.905113, Average Loss  0.876673, Time  0.243317
2021-09-16 01:15:43.785542 : Epoch  4, Batch    559, Loss  0.870584, Average Loss  0.870285, Time  0.280039
2021-09-16 01:15:44.243463 : Epoch  1, Batch   1569, Loss  0.881872, Average Loss  0.876728, Time  0.239933
2021-09-16 01:15:46.777712 : Epoch  4, Batch    560, Loss  0.858540, Average Loss  0.870163, Time  0.267472
2021-09-16 01:15:46.828898 : Epoch  1, Batch   1570, Loss  0.877999, Average Loss  0.876760, Time  0.241201
2021-09-16 01:15:49.424008 : Epoch  1, Batch   1571, Loss  0.866508, Average Loss  0.876734, Time  0.240436
2021-09-16 01:15:49.757324 : Epoch  4, Batch    561, Loss  0.866311, Average Loss  0.870245, Time  0.266768
2021-09-16 01:15:52.013841 : Epoch  1, Batch   1572, Loss  0.878742, Average Loss  0.876706, Time  0.243069
2021-09-16 01:15:52.789958 : Epoch  4, Batch    562, Loss  0.866251, Average Loss  0.870243, Time  0.266280
2021-09-16 01:15:54.611400 : Epoch  1, Batch   1573, Loss  0.869522, Average Loss  0.876651, Time  0.240011
2021-09-16 01:15:55.815135 : Epoch  4, Batch    563, Loss  0.881758, Average Loss  0.870380, Time  0.265869
2021-09-16 01:15:57.195623 : Epoch  1, Batch   1574, Loss  0.882613, Average Loss  0.876684, Time  0.240059
2021-09-16 01:15:58.834555 : Epoch  4, Batch    564, Loss  0.849716, Average Loss  0.870272, Time  0.267881
2021-09-16 01:15:59.779664 : Epoch  1, Batch   1575, Loss  0.877276, Average Loss  0.876677, Time  0.239872
2021-09-16 01:16:01.897389 : Epoch  4, Batch    565, Loss  0.884329, Average Loss  0.870418, Time  0.265297
2021-09-16 01:16:02.359065 : Epoch  1, Batch   1576, Loss  0.875152, Average Loss  0.876549, Time  0.240282
2021-09-16 01:16:04.906592 : Epoch  4, Batch    566, Loss  0.890671, Average Loss  0.870445, Time  0.265560
2021-09-16 01:16:04.921210 : Epoch  1, Batch   1577, Loss  0.887126, Average Loss  0.876582, Time  0.240010
2021-09-16 01:16:07.519931 : Epoch  1, Batch   1578, Loss  0.872529, Average Loss  0.876676, Time  0.240018
2021-09-16 01:16:07.909640 : Epoch  4, Batch    567, Loss  0.864031, Average Loss  0.870359, Time  0.265485
2021-09-16 01:16:10.097683 : Epoch  1, Batch   1579, Loss  0.882101, Average Loss  0.876660, Time  0.239709
2021-09-16 01:16:10.933483 : Epoch  4, Batch    568, Loss  0.882030, Average Loss  0.870442, Time  0.266001
2021-09-16 01:16:12.688971 : Epoch  1, Batch   1580, Loss  0.876415, Average Loss  0.876570, Time  0.240565
2021-09-16 01:16:13.958219 : Epoch  4, Batch    569, Loss  0.885782, Average Loss  0.870555, Time  0.266875
2021-09-16 01:16:15.278103 : Epoch  1, Batch   1581, Loss  0.867842, Average Loss  0.876513, Time  0.240180
2021-09-16 01:16:16.966128 : Epoch  4, Batch    570, Loss  0.867195, Average Loss  0.870502, Time  0.264501
2021-09-16 01:16:17.867144 : Epoch  1, Batch   1582, Loss  0.868855, Average Loss  0.876510, Time  0.241315
2021-09-16 01:16:19.966445 : Epoch  4, Batch    571, Loss  0.883633, Average Loss  0.870581, Time  0.264883
2021-09-16 01:16:20.453858 : Epoch  1, Batch   1583, Loss  0.836498, Average Loss  0.876259, Time  0.240534
2021-09-16 01:16:22.976070 : Epoch  4, Batch    572, Loss  0.873008, Average Loss  0.870694, Time  0.265598
2021-09-16 01:16:23.033954 : Epoch  1, Batch   1584, Loss  0.869494, Average Loss  0.876205, Time  0.239773
2021-09-16 01:16:25.627791 : Epoch  1, Batch   1585, Loss  0.881779, Average Loss  0.876190, Time  0.240029
2021-09-16 01:16:25.972830 : Epoch  4, Batch    573, Loss  0.864418, Average Loss  0.870709, Time  0.265326
2021-09-16 01:16:28.215395 : Epoch  1, Batch   1586, Loss  0.875509, Average Loss  0.876032, Time  0.240072
2021-09-16 01:16:28.943342 : Epoch  4, Batch    574, Loss  0.859910, Average Loss  0.870635, Time  0.277209
2021-09-16 01:16:30.804868 : Epoch  1, Batch   1587, Loss  0.882354, Average Loss  0.876060, Time  0.241998
2021-09-16 01:16:31.937753 : Epoch  4, Batch    575, Loss  0.867805, Average Loss  0.870638, Time  0.265795
2021-09-16 01:16:33.389007 : Epoch  1, Batch   1588, Loss  0.881100, Average Loss  0.876121, Time  0.240245
2021-09-16 01:16:34.930356 : Epoch  4, Batch    576, Loss  0.859150, Average Loss  0.870633, Time  0.265070
2021-09-16 01:16:35.967491 : Epoch  1, Batch   1589, Loss  0.875840, Average Loss  0.876122, Time  0.241398
2021-09-16 01:16:37.925224 : Epoch  4, Batch    577, Loss  0.868781, Average Loss  0.870510, Time  0.266121
2021-09-16 01:16:38.558147 : Epoch  1, Batch   1590, Loss  0.832145, Average Loss  0.875924, Time  0.241082
2021-09-16 01:16:40.945346 : Epoch  4, Batch    578, Loss  0.879609, Average Loss  0.870534, Time  0.265205
2021-09-16 01:16:41.157054 : Epoch  1, Batch   1591, Loss  0.868733, Average Loss  0.875844, Time  0.242338
2021-09-16 01:16:43.729851 : Epoch  1, Batch   1592, Loss  0.883131, Average Loss  0.875876, Time  0.240366
2021-09-16 01:16:43.938491 : Epoch  4, Batch    579, Loss  0.868972, Average Loss  0.870623, Time  0.265538
2021-09-16 01:16:46.317943 : Epoch  1, Batch   1593, Loss  0.875929, Average Loss  0.875866, Time  0.240812
2021-09-16 01:16:46.917867 : Epoch  4, Batch    580, Loss  0.888203, Average Loss  0.870749, Time  0.266028
2021-09-16 01:16:48.898668 : Epoch  1, Batch   1594, Loss  0.869669, Average Loss  0.875813, Time  0.240572
2021-09-16 01:16:49.911372 : Epoch  4, Batch    581, Loss  0.875772, Average Loss  0.870854, Time  0.266754
2021-09-16 01:16:51.475883 : Epoch  1, Batch   1595, Loss  0.887415, Average Loss  0.875868, Time  0.240916
2021-09-16 01:16:52.898300 : Epoch  4, Batch    582, Loss  0.853920, Average Loss  0.870687, Time  0.266519
2021-09-16 01:16:54.062208 : Epoch  1, Batch   1596, Loss  0.851032, Average Loss  0.875792, Time  0.240103
2021-09-16 01:16:55.887021 : Epoch  4, Batch    583, Loss  0.873075, Average Loss  0.870804, Time  0.265893
2021-09-16 01:16:56.643009 : Epoch  1, Batch   1597, Loss  0.865441, Average Loss  0.875734, Time  0.240723
2021-09-16 01:16:58.881349 : Epoch  4, Batch    584, Loss  0.891404, Average Loss  0.870890, Time  0.265586
2021-09-16 01:16:59.227142 : Epoch  1, Batch   1598, Loss  0.871927, Average Loss  0.875671, Time  0.240942
2021-09-16 01:17:01.796425 : Epoch  1, Batch   1599, Loss  0.876330, Average Loss  0.875645, Time  0.243142
2021-09-16 01:17:01.892916 : Epoch  4, Batch    585, Loss  0.870577, Average Loss  0.871027, Time  0.266235
2021-09-16 01:17:04.375163 : Epoch  1, Batch   1600, Loss  0.876494, Average Loss  0.875723, Time  0.240264
2021-09-16 01:17:04.892842 : Epoch  4, Batch    586, Loss  0.884137, Average Loss  0.871032, Time  0.266057
2021-09-16 01:17:07.888761 : Epoch  4, Batch    587, Loss  0.849733, Average Loss  0.870844, Time  0.264883
2021-09-16 01:17:10.896545 : Epoch  4, Batch    588, Loss  0.859360, Average Loss  0.870860, Time  0.264892
2021-09-16 01:17:13.923401 : Epoch  4, Batch    589, Loss  0.882788, Average Loss  0.871011, Time  0.277164
2021-09-16 01:17:16.951817 : Epoch  4, Batch    590, Loss  0.854061, Average Loss  0.870849, Time  0.266985
2021-09-16 01:17:19.954670 : Epoch  4, Batch    591, Loss  0.850199, Average Loss  0.870725, Time  0.266794
2021-09-16 01:17:22.938901 : Epoch  4, Batch    592, Loss  0.853956, Average Loss  0.870640, Time  0.265437
2021-09-16 01:17:25.933712 : Epoch  4, Batch    593, Loss  0.893858, Average Loss  0.870774, Time  0.265101
2021-09-16 01:17:28.932429 : Epoch  4, Batch    594, Loss  0.857868, Average Loss  0.870781, Time  0.266260
2021-09-16 01:17:31.957363 : Epoch  4, Batch    595, Loss  0.872818, Average Loss  0.870856, Time  0.266082
2021-09-16 01:17:34.955513 : Epoch  4, Batch    596, Loss  0.862854, Average Loss  0.870903, Time  0.265392
2021-09-16 01:17:37.946594 : Epoch  4, Batch    597, Loss  0.887466, Average Loss  0.870844, Time  0.266082
2021-09-16 01:17:40.945692 : Epoch  4, Batch    598, Loss  0.861605, Average Loss  0.870822, Time  0.266886
2021-09-16 01:17:43.965301 : Epoch  4, Batch    599, Loss  0.865449, Average Loss  0.870874, Time  0.265771
2021-09-16 01:17:46.964781 : Epoch  4, Batch    600, Loss  0.868071, Average Loss  0.870869, Time  0.263969
2021-09-16 01:17:49.962054 : Epoch  4, Batch    601, Loss  0.878523, Average Loss  0.870947, Time  0.266063
2021-09-16 01:17:52.960559 : Epoch  4, Batch    602, Loss  0.866935, Average Loss  0.870935, Time  0.265852
2021-09-16 01:17:55.964985 : Epoch  4, Batch    603, Loss  0.873587, Average Loss  0.871014, Time  0.265714
2021-09-16 01:17:58.958411 : Epoch  4, Batch    604, Loss  0.849793, Average Loss  0.870901, Time  0.272996
2021-09-16 01:18:01.949869 : Epoch  4, Batch    605, Loss  0.898058, Average Loss  0.871006, Time  0.265295
2021-09-16 01:18:04.949342 : Epoch  4, Batch    606, Loss  0.882758, Average Loss  0.871172, Time  0.266367
2021-09-16 01:18:07.918297 : Epoch  4, Batch    607, Loss  0.859107, Average Loss  0.871146, Time  0.264943
2021-09-16 01:18:10.919071 : Epoch  4, Batch    608, Loss  0.891731, Average Loss  0.871431, Time  0.266854
2021-09-16 01:18:13.941424 : Epoch  4, Batch    609, Loss  0.876088, Average Loss  0.871451, Time  0.264788
2021-09-16 01:18:16.944504 : Epoch  4, Batch    610, Loss  0.866700, Average Loss  0.871373, Time  0.265315
2021-09-16 01:18:19.948125 : Epoch  4, Batch    611, Loss  0.895617, Average Loss  0.871387, Time  0.265781
2021-09-16 01:18:22.937430 : Epoch  4, Batch    612, Loss  0.867449, Average Loss  0.871224, Time  0.265824
2021-09-16 01:18:25.922436 : Epoch  4, Batch    613, Loss  0.858087, Average Loss  0.871016, Time  0.266564
2021-09-16 01:18:28.913971 : Epoch  4, Batch    614, Loss  0.860666, Average Loss  0.871069, Time  0.264779
2021-09-16 01:18:31.894006 : Epoch  4, Batch    615, Loss  0.874682, Average Loss  0.871153, Time  0.264959
2021-09-16 01:18:34.927798 : Epoch  4, Batch    616, Loss  0.873285, Average Loss  0.871171, Time  0.265125
2021-09-16 01:18:37.939554 : Epoch  4, Batch    617, Loss  0.856510, Average Loss  0.871151, Time  0.265590
2021-09-16 01:18:40.954380 : Epoch  4, Batch    618, Loss  0.873838, Average Loss  0.871084, Time  0.266015
2021-09-16 01:18:43.952274 : Epoch  4, Batch    619, Loss  0.884269, Average Loss  0.871154, Time  0.279890
2021-09-16 01:18:46.961412 : Epoch  4, Batch    620, Loss  0.871300, Average Loss  0.871150, Time  0.266452
2021-09-16 01:18:48.418703 : Epoch  4, Batch    621, Loss  0.863279, Average Loss  0.871131, Time  0.166518
2021-09-16 01:18:51.423404 : Epoch  4, Batch    622, Loss  0.865219, Average Loss  0.871088, Time  0.267348
2021-09-16 01:18:54.409433 : Epoch  4, Batch    623, Loss  0.860808, Average Loss  0.871039, Time  0.265506
2021-09-16 01:18:57.396431 : Epoch  4, Batch    624, Loss  0.868190, Average Loss  0.870944, Time  0.265340
2021-09-16 01:19:00.364524 : Epoch  4, Batch    625, Loss  0.877378, Average Loss  0.870971, Time  0.264734
2021-09-16 01:19:03.352545 : Epoch  4, Batch    626, Loss  0.851889, Average Loss  0.870926, Time  0.265055
2021-09-16 01:19:06.379075 : Epoch  4, Batch    627, Loss  0.880506, Average Loss  0.871016, Time  0.266796
2021-09-16 01:19:09.378042 : Epoch  4, Batch    628, Loss  0.894927, Average Loss  0.871116, Time  0.265066
2021-09-16 01:19:12.385794 : Epoch  4, Batch    629, Loss  0.859562, Average Loss  0.871100, Time  0.265825
2021-09-16 01:19:15.395156 : Epoch  4, Batch    630, Loss  0.858211, Average Loss  0.870988, Time  0.264812
2021-09-16 01:19:18.380093 : Epoch  4, Batch    631, Loss  0.864851, Average Loss  0.870943, Time  0.266053
2021-09-16 01:19:21.358207 : Epoch  4, Batch    632, Loss  0.881046, Average Loss  0.870999, Time  0.264354
2021-09-16 01:21:06.474887 : CheckPoint: Validation Loss  0.00030764, Best Loss  0.00029766
2021-09-16 01:21:09.056864 : Epoch  1, Batch   1601, Loss  0.885874, Average Loss  0.875847, Time  0.241409
2021-09-16 01:21:11.644158 : Epoch  1, Batch   1602, Loss  0.896403, Average Loss  0.876034, Time  0.240987
2021-09-16 01:21:14.227071 : Epoch  1, Batch   1603, Loss  0.876793, Average Loss  0.875991, Time  0.241165
2021-09-16 01:21:16.808726 : Epoch  1, Batch   1604, Loss  0.863080, Average Loss  0.875938, Time  0.243806
2021-09-16 01:21:19.387850 : Epoch  1, Batch   1605, Loss  0.880198, Average Loss  0.875909, Time  0.241284
2021-09-16 01:21:21.970753 : Epoch  1, Batch   1606, Loss  0.878292, Average Loss  0.875977, Time  0.242884
2021-09-16 01:21:24.544968 : Epoch  1, Batch   1607, Loss  0.875502, Average Loss  0.875984, Time  0.240337
2021-09-16 01:21:27.163975 : Epoch  1, Batch   1608, Loss  0.899618, Average Loss  0.876061, Time  0.241978
2021-09-16 01:21:29.756832 : Epoch  1, Batch   1609, Loss  0.886095, Average Loss  0.876123, Time  0.243047
2021-09-16 01:21:32.336844 : Epoch  1, Batch   1610, Loss  0.869254, Average Loss  0.876019, Time  0.241785
2021-09-16 01:21:34.910163 : Epoch  1, Batch   1611, Loss  0.877862, Average Loss  0.876061, Time  0.239857
2021-09-16 01:21:37.483872 : Epoch  1, Batch   1612, Loss  0.879835, Average Loss  0.876068, Time  0.240268
2021-09-16 01:21:40.058874 : Epoch  1, Batch   1613, Loss  0.895126, Average Loss  0.876163, Time  0.240328
2021-09-16 01:21:42.632846 : Epoch  1, Batch   1614, Loss  0.883024, Average Loss  0.876217, Time  0.240657
2021-09-16 01:21:45.219842 : Epoch  1, Batch   1615, Loss  0.852723, Average Loss  0.876097, Time  0.240071
2021-09-16 01:21:47.805855 : Epoch  1, Batch   1616, Loss  0.862563, Average Loss  0.876055, Time  0.240175
2021-09-16 01:21:50.384717 : Epoch  1, Batch   1617, Loss  0.885796, Average Loss  0.876083, Time  0.240075
2021-09-16 01:21:52.968766 : Epoch  1, Batch   1618, Loss  0.866529, Average Loss  0.875989, Time  0.241746
2021-09-16 01:21:55.550264 : Epoch  1, Batch   1619, Loss  0.899172, Average Loss  0.876111, Time  0.240228
2021-09-16 01:21:58.130060 : Epoch  1, Batch   1620, Loss  0.865587, Average Loss  0.876029, Time  0.240664
2021-09-16 01:22:00.710726 : Epoch  1, Batch   1621, Loss  0.882801, Average Loss  0.876104, Time  0.239928
2021-09-16 01:22:03.296018 : Epoch  1, Batch   1622, Loss  0.898167, Average Loss  0.876172, Time  0.241015
2021-09-16 01:22:05.866969 : Epoch  1, Batch   1623, Loss  0.869776, Average Loss  0.876121, Time  0.240964
2021-09-16 01:22:08.451177 : Epoch  1, Batch   1624, Loss  0.861061, Average Loss  0.875944, Time  0.243153
2021-09-16 01:22:11.041193 : Epoch  1, Batch   1625, Loss  0.876123, Average Loss  0.875860, Time  0.240772
2021-09-16 01:22:13.631101 : Epoch  1, Batch   1626, Loss  0.873925, Average Loss  0.875771, Time  0.241113
2021-09-16 01:22:16.222416 : Epoch  1, Batch   1627, Loss  0.881190, Average Loss  0.875740, Time  0.242352
2021-09-16 01:22:18.814453 : Epoch  1, Batch   1628, Loss  0.881609, Average Loss  0.875679, Time  0.242227
2021-09-16 01:22:21.394736 : Epoch  1, Batch   1629, Loss  0.884659, Average Loss  0.875772, Time  0.240702
2021-09-16 01:22:23.977149 : Epoch  1, Batch   1630, Loss  0.895227, Average Loss  0.875812, Time  0.240490
2021-09-16 01:22:26.556466 : Epoch  1, Batch   1631, Loss  0.873386, Average Loss  0.875817, Time  0.240658
2021-09-16 01:22:29.138271 : Epoch  1, Batch   1632, Loss  0.881354, Average Loss  0.875853, Time  0.240169
2021-09-16 01:22:31.714446 : Epoch  1, Batch   1633, Loss  0.884354, Average Loss  0.875818, Time  0.240153
2021-09-16 01:22:34.288327 : Epoch  1, Batch   1634, Loss  0.880858, Average Loss  0.875766, Time  0.240142
2021-09-16 01:22:36.873901 : Epoch  1, Batch   1635, Loss  0.868357, Average Loss  0.875878, Time  0.241714
2021-09-16 01:22:39.454761 : Epoch  1, Batch   1636, Loss  0.855333, Average Loss  0.875674, Time  0.240422
2021-09-16 01:22:42.032826 : Epoch  1, Batch   1637, Loss  0.879186, Average Loss  0.875710, Time  0.240598
2021-09-16 01:22:44.606197 : Epoch  1, Batch   1638, Loss  0.860378, Average Loss  0.875541, Time  0.240149
2021-09-16 01:22:47.189449 : Epoch  1, Batch   1639, Loss  0.888440, Average Loss  0.875538, Time  0.241349
2021-09-16 01:22:49.782126 : Epoch  1, Batch   1640, Loss  0.886332, Average Loss  0.875541, Time  0.240590
2021-09-16 01:22:52.369076 : Epoch  1, Batch   1641, Loss  0.865435, Average Loss  0.875617, Time  0.240139
2021-09-16 01:22:54.952934 : Epoch  1, Batch   1642, Loss  0.859531, Average Loss  0.875647, Time  0.240865
2021-09-16 01:22:57.549048 : Epoch  1, Batch   1643, Loss  0.891998, Average Loss  0.875735, Time  0.241562
2021-09-16 01:23:00.125002 : Epoch  1, Batch   1644, Loss  0.865833, Average Loss  0.875625, Time  0.240453
2021-09-16 01:23:02.723849 : Epoch  1, Batch   1645, Loss  0.876739, Average Loss  0.875596, Time  0.241414
2021-09-16 01:23:05.307086 : Epoch  1, Batch   1646, Loss  0.885261, Average Loss  0.875676, Time  0.242288
2021-09-16 01:23:07.887576 : Epoch  1, Batch   1647, Loss  0.870662, Average Loss  0.875679, Time  0.241315
2021-09-16 01:23:10.475423 : Epoch  1, Batch   1648, Loss  0.847687, Average Loss  0.875460, Time  0.240108
2021-09-16 01:23:13.064586 : Epoch  1, Batch   1649, Loss  0.898751, Average Loss  0.875647, Time  0.241362
2021-09-16 01:23:15.654097 : Epoch  1, Batch   1650, Loss  0.868378, Average Loss  0.875575, Time  0.240391
2021-09-16 01:23:18.249225 : Epoch  1, Batch   1651, Loss  0.887404, Average Loss  0.875602, Time  0.239685
2021-09-16 01:23:20.823127 : Epoch  1, Batch   1652, Loss  0.874438, Average Loss  0.875510, Time  0.241901
2021-09-16 01:23:23.411538 : Epoch  1, Batch   1653, Loss  0.910215, Average Loss  0.875565, Time  0.240635
2021-09-16 01:23:26.012473 : Epoch  1, Batch   1654, Loss  0.883472, Average Loss  0.875619, Time  0.253482
2021-09-16 01:23:28.615016 : Epoch  1, Batch   1655, Loss  0.869363, Average Loss  0.875593, Time  0.243038
2021-09-16 01:23:31.197692 : Epoch  1, Batch   1656, Loss  0.882817, Average Loss  0.875587, Time  0.240084
2021-09-16 01:23:33.797838 : Epoch  1, Batch   1657, Loss  0.880639, Average Loss  0.875654, Time  0.241024
2021-09-16 01:23:36.390965 : Epoch  1, Batch   1658, Loss  0.874640, Average Loss  0.875614, Time  0.241422
2021-09-16 01:23:38.975537 : Epoch  1, Batch   1659, Loss  0.878312, Average Loss  0.875675, Time  0.240020
2021-09-16 01:23:41.562660 : Epoch  1, Batch   1660, Loss  0.876863, Average Loss  0.875618, Time  0.240252
2021-09-16 01:23:44.144444 : Epoch  1, Batch   1661, Loss  0.870624, Average Loss  0.875555, Time  0.241295
2021-09-16 01:23:46.730431 : Epoch  1, Batch   1662, Loss  0.872139, Average Loss  0.875485, Time  0.240005
2021-09-16 01:23:49.316421 : Epoch  1, Batch   1663, Loss  0.878157, Average Loss  0.875454, Time  0.240553
2021-09-16 01:23:51.912874 : Epoch  1, Batch   1664, Loss  0.857203, Average Loss  0.875319, Time  0.240616
2021-09-16 01:23:54.506304 : Epoch  1, Batch   1665, Loss  0.882577, Average Loss  0.875354, Time  0.240136
2021-09-16 01:23:57.093099 : Epoch  1, Batch   1666, Loss  0.880426, Average Loss  0.875383, Time  0.240848
2021-09-16 01:23:59.361321 : CheckPoint: Validation Loss  0.00030321, Best Loss  0.00029379
2021-09-16 01:23:59.680205 : Epoch  1, Batch   1667, Loss  0.880776, Average Loss  0.875388, Time  0.240611
2021-09-16 01:24:02.260790 : Epoch  1, Batch   1668, Loss  0.866887, Average Loss  0.875356, Time  0.240362
2021-09-16 01:24:02.382600 : Epoch  4, Batch    633, Loss  0.883465, Average Loss  0.871154, Time  0.268728
2021-09-16 01:24:04.844232 : Epoch  1, Batch   1669, Loss  0.875282, Average Loss  0.875450, Time  0.241237
2021-09-16 01:24:05.367102 : Epoch  4, Batch    634, Loss  0.871922, Average Loss  0.871061, Time  0.265274
2021-09-16 01:24:07.426939 : Epoch  1, Batch   1670, Loss  0.868424, Average Loss  0.875380, Time  0.241234
2021-09-16 01:24:08.350163 : Epoch  4, Batch    635, Loss  0.876387, Average Loss  0.871196, Time  0.278359
2021-09-16 01:24:10.013879 : Epoch  1, Batch   1671, Loss  0.868973, Average Loss  0.875404, Time  0.240670
2021-09-16 01:24:11.356051 : Epoch  4, Batch    636, Loss  0.881770, Average Loss  0.871173, Time  0.267049
2021-09-16 01:24:12.593142 : Epoch  1, Batch   1672, Loss  0.886432, Average Loss  0.875364, Time  0.240250
2021-09-16 01:24:14.377939 : Epoch  4, Batch    637, Loss  0.876038, Average Loss  0.871147, Time  0.266945
2021-09-16 01:24:15.187439 : Epoch  1, Batch   1673, Loss  0.845103, Average Loss  0.875175, Time  0.241301
2021-09-16 01:24:17.388553 : Epoch  4, Batch    638, Loss  0.867209, Average Loss  0.871139, Time  0.266732
2021-09-16 01:24:17.801356 : Epoch  1, Batch   1674, Loss  0.883954, Average Loss  0.875267, Time  0.240451
2021-09-16 01:24:20.377921 : Epoch  4, Batch    639, Loss  0.878190, Average Loss  0.871226, Time  0.265524
2021-09-16 01:24:20.380932 : Epoch  1, Batch   1675, Loss  0.856852, Average Loss  0.875019, Time  0.242097
2021-09-16 01:24:23.004635 : Epoch  1, Batch   1676, Loss  0.849301, Average Loss  0.874858, Time  0.240031
2021-09-16 01:24:23.373785 : Epoch  4, Batch    640, Loss  0.884052, Average Loss  0.871242, Time  0.266393
2021-09-16 01:24:25.590109 : Epoch  1, Batch   1677, Loss  0.884244, Average Loss  0.874947, Time  0.241560
2021-09-16 01:24:26.341699 : Epoch  4, Batch    641, Loss  0.853393, Average Loss  0.871181, Time  0.265857
2021-09-16 01:24:28.176899 : Epoch  1, Batch   1678, Loss  0.866769, Average Loss  0.874861, Time  0.241577
2021-09-16 01:24:29.339213 : Epoch  4, Batch    642, Loss  0.865869, Average Loss  0.871096, Time  0.265097
2021-09-16 01:24:30.769395 : Epoch  1, Batch   1679, Loss  0.876243, Average Loss  0.874920, Time  0.240534
2021-09-16 01:24:32.314548 : Epoch  4, Batch    643, Loss  0.844489, Average Loss  0.870922, Time  0.265243
2021-09-16 01:24:33.354394 : Epoch  1, Batch   1680, Loss  0.886064, Average Loss  0.875028, Time  0.240070
2021-09-16 01:24:35.299349 : Epoch  4, Batch    644, Loss  0.874197, Average Loss  0.870997, Time  0.266525
2021-09-16 01:24:35.940865 : Epoch  1, Batch   1681, Loss  0.868124, Average Loss  0.875036, Time  0.242013
2021-09-16 01:24:38.294708 : Epoch  4, Batch    645, Loss  0.873657, Average Loss  0.870962, Time  0.265122
2021-09-16 01:24:38.527694 : Epoch  1, Batch   1682, Loss  0.860227, Average Loss  0.874890, Time  0.241277
2021-09-16 01:24:41.106848 : Epoch  1, Batch   1683, Loss  0.871373, Average Loss  0.874869, Time  0.240348
2021-09-16 01:24:41.289050 : Epoch  4, Batch    646, Loss  0.853828, Average Loss  0.870875, Time  0.265676
2021-09-16 01:24:43.694122 : Epoch  1, Batch   1684, Loss  0.881060, Average Loss  0.874886, Time  0.240634
2021-09-16 01:24:44.270525 : Epoch  4, Batch    647, Loss  0.891302, Average Loss  0.870986, Time  0.265426
2021-09-16 01:24:46.286137 : Epoch  1, Batch   1685, Loss  0.902767, Average Loss  0.875055, Time  0.240076
2021-09-16 01:24:47.254734 : Epoch  4, Batch    648, Loss  0.857776, Average Loss  0.870937, Time  0.265719
2021-09-16 01:24:48.866932 : Epoch  1, Batch   1686, Loss  0.884366, Average Loss  0.875098, Time  0.240211
2021-09-16 01:24:50.255592 : Epoch  4, Batch    649, Loss  0.862859, Average Loss  0.870850, Time  0.265626
2021-09-16 01:24:51.450743 : Epoch  1, Batch   1687, Loss  0.871733, Average Loss  0.875039, Time  0.240066
2021-09-16 01:24:53.272665 : Epoch  4, Batch    650, Loss  0.860617, Average Loss  0.870751, Time  0.272156
2021-09-16 01:24:54.033087 : Epoch  1, Batch   1688, Loss  0.879231, Average Loss  0.875128, Time  0.240395
2021-09-16 01:24:56.299773 : Epoch  4, Batch    651, Loss  0.868180, Average Loss  0.870821, Time  0.265513
2021-09-16 01:24:56.613263 : Epoch  1, Batch   1689, Loss  0.859355, Average Loss  0.875063, Time  0.241568
2021-09-16 01:24:59.184083 : Epoch  1, Batch   1690, Loss  0.888062, Average Loss  0.875091, Time  0.240901
2021-09-16 01:24:59.270051 : Epoch  4, Batch    652, Loss  0.876535, Average Loss  0.870893, Time  0.265320
2021-09-16 01:25:01.775059 : Epoch  1, Batch   1691, Loss  0.882112, Average Loss  0.875040, Time  0.241040
2021-09-16 01:25:02.304102 : Epoch  4, Batch    653, Loss  0.890210, Average Loss  0.870989, Time  0.266057
2021-09-16 01:25:04.361210 : Epoch  1, Batch   1692, Loss  0.863105, Average Loss  0.875082, Time  0.240108
2021-09-16 01:25:05.316461 : Epoch  4, Batch    654, Loss  0.868221, Average Loss  0.870935, Time  0.265183
2021-09-16 01:25:06.947712 : Epoch  1, Batch   1693, Loss  0.906634, Average Loss  0.875175, Time  0.241172
2021-09-16 01:25:08.286683 : Epoch  4, Batch    655, Loss  0.863558, Average Loss  0.870812, Time  0.265306
2021-09-16 01:25:09.528902 : Epoch  1, Batch   1694, Loss  0.878639, Average Loss  0.875113, Time  0.241311
2021-09-16 01:25:11.270116 : Epoch  4, Batch    656, Loss  0.860974, Average Loss  0.870772, Time  0.264818
2021-09-16 01:25:12.116010 : Epoch  1, Batch   1695, Loss  0.851326, Average Loss  0.874989, Time  0.241033
2021-09-16 01:25:14.258970 : Epoch  4, Batch    657, Loss  0.866234, Average Loss  0.870704, Time  0.266308
2021-09-16 01:25:14.714825 : Epoch  1, Batch   1696, Loss  0.869554, Average Loss  0.875044, Time  0.241307
2021-09-16 01:25:17.240799 : Epoch  4, Batch    658, Loss  0.862780, Average Loss  0.870704, Time  0.267245
2021-09-16 01:25:17.297372 : Epoch  1, Batch   1697, Loss  0.876887, Average Loss  0.875028, Time  0.239855
2021-09-16 01:25:19.883436 : Epoch  1, Batch   1698, Loss  0.874450, Average Loss  0.875010, Time  0.240541
2021-09-16 01:25:20.245403 : Epoch  4, Batch    659, Loss  0.867765, Average Loss  0.870680, Time  0.265962
2021-09-16 01:25:22.471610 : Epoch  1, Batch   1699, Loss  0.883468, Average Loss  0.875181, Time  0.242589
2021-09-16 01:25:23.236155 : Epoch  4, Batch    660, Loss  0.887774, Average Loss  0.870775, Time  0.266203
2021-09-16 01:25:25.059950 : Epoch  1, Batch   1700, Loss  0.840470, Average Loss  0.875024, Time  0.241681
2021-09-16 01:25:26.243746 : Epoch  4, Batch    661, Loss  0.865119, Average Loss  0.870723, Time  0.265595
2021-09-16 01:25:29.227040 : Epoch  4, Batch    662, Loss  0.889295, Average Loss  0.870806, Time  0.266058
2021-09-16 01:25:32.238329 : Epoch  4, Batch    663, Loss  0.881521, Average Loss  0.870794, Time  0.266512
2021-09-16 01:25:35.224096 : Epoch  4, Batch    664, Loss  0.873072, Average Loss  0.870694, Time  0.264978
2021-09-16 01:25:38.223892 : Epoch  4, Batch    665, Loss  0.881375, Average Loss  0.870659, Time  0.273098
2021-09-16 01:25:41.228328 : Epoch  4, Batch    666, Loss  0.875430, Average Loss  0.870753, Time  0.266969
2021-09-16 01:25:44.285230 : Epoch  4, Batch    667, Loss  0.877906, Average Loss  0.870853, Time  0.266624
2021-09-16 01:25:47.268904 : Epoch  4, Batch    668, Loss  0.869608, Average Loss  0.870805, Time  0.264984
2021-09-16 01:25:50.262183 : Epoch  4, Batch    669, Loss  0.869774, Average Loss  0.870819, Time  0.266996
2021-09-16 01:25:53.320452 : Epoch  4, Batch    670, Loss  0.863494, Average Loss  0.870827, Time  0.266996
2021-09-16 01:25:56.320958 : Epoch  4, Batch    671, Loss  0.870880, Average Loss  0.870795, Time  0.266917
2021-09-16 01:25:59.324042 : Epoch  4, Batch    672, Loss  0.869956, Average Loss  0.870774, Time  0.265525
2021-09-16 01:26:02.347187 : Epoch  4, Batch    673, Loss  0.866351, Average Loss  0.870682, Time  0.266289
2021-09-16 01:26:05.353306 : Epoch  4, Batch    674, Loss  0.862636, Average Loss  0.870755, Time  0.266415
2021-09-16 01:26:08.355976 : Epoch  4, Batch    675, Loss  0.866815, Average Loss  0.870650, Time  0.265468
2021-09-16 01:26:11.331773 : Epoch  4, Batch    676, Loss  0.892547, Average Loss  0.870728, Time  0.265538
2021-09-16 01:26:14.315711 : Epoch  4, Batch    677, Loss  0.864182, Average Loss  0.870665, Time  0.265539
2021-09-16 01:26:17.305939 : Epoch  4, Batch    678, Loss  0.861875, Average Loss  0.870596, Time  0.266605
2021-09-16 01:26:20.276942 : Epoch  4, Batch    679, Loss  0.861251, Average Loss  0.870589, Time  0.265275
2021-09-16 01:26:23.296940 : Epoch  4, Batch    680, Loss  0.854165, Average Loss  0.870533, Time  0.276805
2021-09-16 01:26:26.276352 : Epoch  4, Batch    681, Loss  0.881566, Average Loss  0.870673, Time  0.265896
2021-09-16 01:26:29.257322 : Epoch  4, Batch    682, Loss  0.865041, Average Loss  0.870593, Time  0.265513
2021-09-16 01:26:32.243848 : Epoch  4, Batch    683, Loss  0.858374, Average Loss  0.870590, Time  0.265653
2021-09-16 01:26:35.228257 : Epoch  4, Batch    684, Loss  0.880174, Average Loss  0.870620, Time  0.264834
2021-09-16 01:26:38.228838 : Epoch  4, Batch    685, Loss  0.852038, Average Loss  0.870584, Time  0.265851
2021-09-16 01:26:41.232025 : Epoch  4, Batch    686, Loss  0.856822, Average Loss  0.870633, Time  0.266014
2021-09-16 01:26:44.251794 : Epoch  4, Batch    687, Loss  0.852752, Average Loss  0.870465, Time  0.265644
2021-09-16 01:26:47.260913 : Epoch  4, Batch    688, Loss  0.876597, Average Loss  0.870517, Time  0.265270
2021-09-16 01:26:50.264276 : Epoch  4, Batch    689, Loss  0.863629, Average Loss  0.870601, Time  0.265505
2021-09-16 01:26:53.246987 : Epoch  4, Batch    690, Loss  0.892347, Average Loss  0.870680, Time  0.265133
2021-09-16 01:26:56.228024 : Epoch  4, Batch    691, Loss  0.865737, Average Loss  0.870750, Time  0.265444
2021-09-16 01:26:59.226904 : Epoch  4, Batch    692, Loss  0.876743, Average Loss  0.870684, Time  0.265860
2021-09-16 01:27:02.211175 : Epoch  4, Batch    693, Loss  0.890072, Average Loss  0.870661, Time  0.265448
2021-09-16 01:27:05.184333 : Epoch  4, Batch    694, Loss  0.855597, Average Loss  0.870553, Time  0.265405
2021-09-16 01:27:08.166131 : Epoch  4, Batch    695, Loss  0.877632, Average Loss  0.870577, Time  0.279022
2021-09-16 01:27:11.145439 : Epoch  4, Batch    696, Loss  0.870684, Average Loss  0.870529, Time  0.266562
2021-09-16 01:27:14.149354 : Epoch  4, Batch    697, Loss  0.855320, Average Loss  0.870452, Time  0.266147
2021-09-16 01:27:17.168962 : Epoch  4, Batch    698, Loss  0.886738, Average Loss  0.870444, Time  0.267496
2021-09-16 01:27:20.239941 : Epoch  4, Batch    699, Loss  0.868567, Average Loss  0.870398, Time  0.268595
2021-09-16 01:27:23.226242 : Epoch  4, Batch    700, Loss  0.860108, Average Loss  0.870337, Time  0.266281
2021-09-16 01:27:26.232601 : Epoch  4, Batch    701, Loss  0.862719, Average Loss  0.870329, Time  0.266910
2021-09-16 01:27:29.216056 : Epoch  4, Batch    702, Loss  0.864696, Average Loss  0.870204, Time  0.266800
2021-09-16 01:27:32.240513 : Epoch  4, Batch    703, Loss  0.883503, Average Loss  0.870165, Time  0.269260
2021-09-16 01:27:35.259838 : Epoch  4, Batch    704, Loss  0.858906, Average Loss  0.870084, Time  0.267238
2021-09-16 01:27:38.238703 : Epoch  4, Batch    705, Loss  0.879260, Average Loss  0.870177, Time  0.265084
2021-09-16 01:27:41.227989 : Epoch  4, Batch    706, Loss  0.877780, Average Loss  0.870235, Time  0.265258
2021-09-16 01:27:44.204288 : Epoch  4, Batch    707, Loss  0.851219, Average Loss  0.870085, Time  0.265383
2021-09-16 01:27:47.192397 : Epoch  4, Batch    708, Loss  0.857543, Average Loss  0.870072, Time  0.265594
2021-09-16 01:27:50.203947 : Epoch  4, Batch    709, Loss  0.877195, Average Loss  0.870046, Time  0.265258
2021-09-16 01:27:53.204109 : Epoch  4, Batch    710, Loss  0.868585, Average Loss  0.869984, Time  0.276478
2021-09-16 01:27:56.202720 : Epoch  4, Batch    711, Loss  0.889111, Average Loss  0.869980, Time  0.265815
2021-09-16 01:27:59.198388 : Epoch  4, Batch    712, Loss  0.857994, Average Loss  0.869965, Time  0.265005
2021-09-16 01:28:02.204516 : Epoch  4, Batch    713, Loss  0.867978, Average Loss  0.869934, Time  0.265315
2021-09-16 01:28:05.217115 : Epoch  4, Batch    714, Loss  0.879818, Average Loss  0.869953, Time  0.265933
2021-09-16 01:28:08.204777 : Epoch  4, Batch    715, Loss  0.866082, Average Loss  0.869977, Time  0.265327
2021-09-16 01:28:11.190852 : Epoch  4, Batch    716, Loss  0.879481, Average Loss  0.869967, Time  0.265142
2021-09-16 01:28:14.195381 : Epoch  4, Batch    717, Loss  0.869929, Average Loss  0.870071, Time  0.264742
2021-09-16 01:28:17.183404 : Epoch  4, Batch    718, Loss  0.887232, Average Loss  0.870213, Time  0.265520
2021-09-16 01:28:20.181904 : Epoch  4, Batch    719, Loss  0.885637, Average Loss  0.870236, Time  0.266956
2021-09-16 01:28:23.200011 : Epoch  4, Batch    720, Loss  0.869002, Average Loss  0.870088, Time  0.265957
2021-09-16 01:28:26.199162 : Epoch  4, Batch    721, Loss  0.882278, Average Loss  0.870115, Time  0.265864
2021-09-16 01:28:29.182404 : Epoch  4, Batch    722, Loss  0.865593, Average Loss  0.870103, Time  0.265115
2021-09-16 01:28:32.176339 : Epoch  4, Batch    723, Loss  0.875371, Average Loss  0.870085, Time  0.266407
2021-09-16 01:28:35.182147 : Epoch  4, Batch    724, Loss  0.849508, Average Loss  0.869977, Time  0.266444
2021-09-16 01:28:38.191707 : Epoch  4, Batch    725, Loss  0.867999, Average Loss  0.869988, Time  0.274593
2021-09-16 01:28:41.184458 : Epoch  4, Batch    726, Loss  0.910595, Average Loss  0.870247, Time  0.266671
2021-09-16 01:28:44.159572 : Epoch  4, Batch    727, Loss  0.868817, Average Loss  0.870297, Time  0.264857
2021-09-16 01:28:47.139334 : Epoch  4, Batch    728, Loss  0.889162, Average Loss  0.870405, Time  0.265355
2021-09-16 01:28:50.116535 : Epoch  4, Batch    729, Loss  0.877196, Average Loss  0.870469, Time  0.265243
2021-09-16 01:28:53.102768 : Epoch  4, Batch    730, Loss  0.862956, Average Loss  0.870443, Time  0.265044
2021-09-16 01:28:56.052308 : Epoch  4, Batch    731, Loss  0.863814, Average Loss  0.870367, Time  0.265687
2021-09-16 01:28:59.076738 : Epoch  4, Batch    732, Loss  0.861409, Average Loss  0.870258, Time  0.266310
2021-09-16 01:29:27.655881 : CheckPoint: Validation Loss  0.00030452, Best Loss  0.00029766
2021-09-16 01:29:30.254772 : Epoch  1, Batch   1701, Loss  0.890498, Average Loss  0.875190, Time  0.241129
2021-09-16 01:29:32.851535 : Epoch  1, Batch   1702, Loss  0.870336, Average Loss  0.875235, Time  0.240041
2021-09-16 01:29:35.448542 : Epoch  1, Batch   1703, Loss  0.864518, Average Loss  0.875293, Time  0.239813
2021-09-16 01:29:38.050994 : Epoch  1, Batch   1704, Loss  0.866086, Average Loss  0.875237, Time  0.240539
2021-09-16 01:29:40.662545 : Epoch  1, Batch   1705, Loss  0.878301, Average Loss  0.875337, Time  0.240841
2021-09-16 01:29:43.247259 : Epoch  1, Batch   1706, Loss  0.867345, Average Loss  0.875269, Time  0.240129
2021-09-16 01:29:45.841013 : Epoch  1, Batch   1707, Loss  0.867334, Average Loss  0.875186, Time  0.240667
2021-09-16 01:29:48.432211 : Epoch  1, Batch   1708, Loss  0.899080, Average Loss  0.875324, Time  0.240582
2021-09-16 01:29:51.027411 : Epoch  1, Batch   1709, Loss  0.875748, Average Loss  0.875346, Time  0.240628
2021-09-16 01:29:53.621655 : Epoch  1, Batch   1710, Loss  0.881781, Average Loss  0.875354, Time  0.240924
2021-09-16 01:29:56.213838 : Epoch  1, Batch   1711, Loss  0.871915, Average Loss  0.875319, Time  0.243355
2021-09-16 01:29:58.804220 : Epoch  1, Batch   1712, Loss  0.878518, Average Loss  0.875373, Time  0.240304
2021-09-16 01:30:01.397963 : Epoch  1, Batch   1713, Loss  0.887788, Average Loss  0.875538, Time  0.241654
2021-09-16 01:30:03.994443 : Epoch  1, Batch   1714, Loss  0.874507, Average Loss  0.875440, Time  0.240508
2021-09-16 01:30:06.605788 : Epoch  1, Batch   1715, Loss  0.836560, Average Loss  0.875269, Time  0.240115
2021-09-16 01:30:09.192621 : Epoch  1, Batch   1716, Loss  0.879087, Average Loss  0.875136, Time  0.240388
2021-09-16 01:30:11.780839 : Epoch  1, Batch   1717, Loss  0.871124, Average Loss  0.875137, Time  0.240410
2021-09-16 01:30:14.380209 : Epoch  1, Batch   1718, Loss  0.887509, Average Loss  0.875223, Time  0.239890
2021-09-16 01:30:16.972607 : Epoch  1, Batch   1719, Loss  0.866159, Average Loss  0.875254, Time  0.239969
2021-09-16 01:30:19.551884 : Epoch  1, Batch   1720, Loss  0.877129, Average Loss  0.875138, Time  0.239786
2021-09-16 01:30:22.136837 : Epoch  1, Batch   1721, Loss  0.873653, Average Loss  0.875182, Time  0.240444
2021-09-16 01:30:24.728403 : Epoch  1, Batch   1722, Loss  0.876414, Average Loss  0.875099, Time  0.240041
2021-09-16 01:30:27.315042 : Epoch  1, Batch   1723, Loss  0.888580, Average Loss  0.875157, Time  0.241358
2021-09-16 01:30:29.893944 : Epoch  1, Batch   1724, Loss  0.877172, Average Loss  0.875138, Time  0.240317
2021-09-16 01:30:32.488011 : Epoch  1, Batch   1725, Loss  0.874673, Average Loss  0.875200, Time  0.241375
2021-09-16 01:30:35.076441 : Epoch  1, Batch   1726, Loss  0.837501, Average Loss  0.874981, Time  0.241213
2021-09-16 01:30:37.683013 : Epoch  1, Batch   1727, Loss  0.880549, Average Loss  0.874930, Time  0.240472
2021-09-16 01:30:40.278390 : Epoch  1, Batch   1728, Loss  0.870193, Average Loss  0.874991, Time  0.243610
2021-09-16 01:30:42.868246 : Epoch  1, Batch   1729, Loss  0.871242, Average Loss  0.874886, Time  0.241360
2021-09-16 01:30:45.461851 : Epoch  1, Batch   1730, Loss  0.861909, Average Loss  0.874775, Time  0.240279
2021-09-16 01:30:48.058409 : Epoch  1, Batch   1731, Loss  0.878069, Average Loss  0.874735, Time  0.240954
2021-09-16 01:30:50.645921 : Epoch  1, Batch   1732, Loss  0.864940, Average Loss  0.874652, Time  0.241133
2021-09-16 01:30:53.234677 : Epoch  1, Batch   1733, Loss  0.880017, Average Loss  0.874653, Time  0.240576
2021-09-16 01:30:55.823572 : Epoch  1, Batch   1734, Loss  0.862989, Average Loss  0.874644, Time  0.243025
2021-09-16 01:30:58.414475 : Epoch  1, Batch   1735, Loss  0.874971, Average Loss  0.874690, Time  0.241582
2021-09-16 01:31:00.994366 : Epoch  1, Batch   1736, Loss  0.867120, Average Loss  0.874642, Time  0.240579
2021-09-16 01:31:03.581540 : Epoch  1, Batch   1737, Loss  0.864298, Average Loss  0.874534, Time  0.241351
2021-09-16 01:31:06.159092 : Epoch  1, Batch   1738, Loss  0.870227, Average Loss  0.874438, Time  0.240338
2021-09-16 01:31:08.742050 : Epoch  1, Batch   1739, Loss  0.872910, Average Loss  0.874428, Time  0.240049
2021-09-16 01:31:11.335071 : Epoch  1, Batch   1740, Loss  0.886076, Average Loss  0.874408, Time  0.240500
2021-09-16 01:31:13.920699 : Epoch  1, Batch   1741, Loss  0.877274, Average Loss  0.874482, Time  0.240412
2021-09-16 01:31:16.517399 : Epoch  1, Batch   1742, Loss  0.863385, Average Loss  0.874464, Time  0.240498
2021-09-16 01:31:19.110583 : Epoch  1, Batch   1743, Loss  0.873111, Average Loss  0.874551, Time  0.240112
2021-09-16 01:31:21.694112 : Epoch  1, Batch   1744, Loss  0.874133, Average Loss  0.874485, Time  0.240237
2021-09-16 01:31:24.279073 : Epoch  1, Batch   1745, Loss  0.862498, Average Loss  0.874504, Time  0.242659
2021-09-16 01:31:26.871055 : Epoch  1, Batch   1746, Loss  0.885085, Average Loss  0.874527, Time  0.241263
2021-09-16 01:31:29.465432 : Epoch  1, Batch   1747, Loss  0.855337, Average Loss  0.874462, Time  0.247490
2021-09-16 01:31:32.055003 : Epoch  1, Batch   1748, Loss  0.884864, Average Loss  0.874531, Time  0.240123
2021-09-16 01:31:34.646009 : Epoch  1, Batch   1749, Loss  0.864774, Average Loss  0.874540, Time  0.240219
2021-09-16 01:31:37.236230 : Epoch  1, Batch   1750, Loss  0.872383, Average Loss  0.874528, Time  0.240546
2021-09-16 01:31:39.824699 : Epoch  1, Batch   1751, Loss  0.870798, Average Loss  0.874525, Time  0.242929
2021-09-16 01:31:42.412781 : Epoch  1, Batch   1752, Loss  0.888249, Average Loss  0.874570, Time  0.240263
2021-09-16 01:31:44.999406 : Epoch  1, Batch   1753, Loss  0.864648, Average Loss  0.874443, Time  0.239747
2021-09-16 01:31:47.583945 : Epoch  1, Batch   1754, Loss  0.860986, Average Loss  0.874517, Time  0.240307
2021-09-16 01:31:50.181331 : Epoch  1, Batch   1755, Loss  0.883746, Average Loss  0.874598, Time  0.242058
2021-09-16 01:31:52.770048 : Epoch  1, Batch   1756, Loss  0.872985, Average Loss  0.874552, Time  0.239987
2021-09-16 01:31:55.360255 : Epoch  1, Batch   1757, Loss  0.889193, Average Loss  0.874743, Time  0.241447
2021-09-16 01:31:57.951974 : Epoch  1, Batch   1758, Loss  0.858750, Average Loss  0.874651, Time  0.241539
2021-09-16 01:32:00.544863 : Epoch  1, Batch   1759, Loss  0.871584, Average Loss  0.874708, Time  0.240060
2021-09-16 01:32:03.131382 : Epoch  1, Batch   1760, Loss  0.885869, Average Loss  0.874757, Time  0.242466
2021-09-16 01:32:05.717756 : Epoch  1, Batch   1761, Loss  0.861713, Average Loss  0.874691, Time  0.241566
2021-09-16 01:32:08.305618 : Epoch  1, Batch   1762, Loss  0.887089, Average Loss  0.874747, Time  0.240392
2021-09-16 01:32:10.888297 : Epoch  1, Batch   1763, Loss  0.843237, Average Loss  0.874609, Time  0.240937
2021-09-16 01:32:13.476844 : Epoch  1, Batch   1764, Loss  0.867428, Average Loss  0.874540, Time  0.240689
2021-09-16 01:32:16.066723 : Epoch  1, Batch   1765, Loss  0.885105, Average Loss  0.874628, Time  0.242465
2021-09-16 01:32:18.648034 : Epoch  1, Batch   1766, Loss  0.881352, Average Loss  0.874634, Time  0.240738
2021-09-16 01:32:21.231285 : Epoch  1, Batch   1767, Loss  0.875769, Average Loss  0.874682, Time  0.240286
2021-09-16 01:32:23.834021 : Epoch  1, Batch   1768, Loss  0.869404, Average Loss  0.874503, Time  0.241768
2021-09-16 01:32:26.418073 : Epoch  1, Batch   1769, Loss  0.892211, Average Loss  0.874555, Time  0.240290
2021-09-16 01:32:29.012591 : Epoch  1, Batch   1770, Loss  0.884308, Average Loss  0.874586, Time  0.240312
2021-09-16 01:32:31.591170 : Epoch  1, Batch   1771, Loss  0.843413, Average Loss  0.874471, Time  0.240144
2021-09-16 01:32:34.181821 : Epoch  1, Batch   1772, Loss  0.888101, Average Loss  0.874518, Time  0.242796
2021-09-16 01:32:36.775805 : Epoch  1, Batch   1773, Loss  0.887914, Average Loss  0.874610, Time  0.240790
2021-09-16 01:32:39.368906 : Epoch  1, Batch   1774, Loss  0.894750, Average Loss  0.874670, Time  0.241060
2021-09-16 01:32:41.956133 : Epoch  1, Batch   1775, Loss  0.884121, Average Loss  0.874704, Time  0.241725
2021-09-16 01:32:44.546879 : Epoch  1, Batch   1776, Loss  0.869960, Average Loss  0.874678, Time  0.240078
2021-09-16 01:32:47.143055 : Epoch  1, Batch   1777, Loss  0.867890, Average Loss  0.874582, Time  0.240370
2021-09-16 01:32:49.734960 : Epoch  1, Batch   1778, Loss  0.870335, Average Loss  0.874571, Time  0.240423
2021-09-16 01:32:52.322085 : Epoch  1, Batch   1779, Loss  0.878481, Average Loss  0.874553, Time  0.240786
2021-09-16 01:32:54.913629 : Epoch  1, Batch   1780, Loss  0.885066, Average Loss  0.874596, Time  0.239791
2021-09-16 01:32:57.520755 : Epoch  1, Batch   1781, Loss  0.885455, Average Loss  0.874685, Time  0.241050
2021-09-16 01:33:00.112856 : Epoch  1, Batch   1782, Loss  0.890735, Average Loss  0.874794, Time  0.240452
2021-09-16 01:33:02.694937 : Epoch  1, Batch   1783, Loss  0.868521, Average Loss  0.874954, Time  0.242025
2021-09-16 01:33:05.271613 : Epoch  1, Batch   1784, Loss  0.833927, Average Loss  0.874776, Time  0.240859
2021-09-16 01:33:07.882023 : Epoch  1, Batch   1785, Loss  0.860043, Average Loss  0.874668, Time  0.240482
2021-09-16 01:33:10.487584 : Epoch  1, Batch   1786, Loss  0.863313, Average Loss  0.874607, Time  0.240087
2021-09-16 01:33:13.095663 : Epoch  1, Batch   1787, Loss  0.870330, Average Loss  0.874546, Time  0.240388
2021-09-16 01:33:15.704048 : Epoch  1, Batch   1788, Loss  0.887203, Average Loss  0.874577, Time  0.240022
2021-09-16 01:33:18.298064 : Epoch  1, Batch   1789, Loss  0.868831, Average Loss  0.874542, Time  0.240438
2021-09-16 01:33:20.880280 : Epoch  1, Batch   1790, Loss  0.887062, Average Loss  0.874817, Time  0.240421
2021-09-16 01:33:23.479046 : Epoch  1, Batch   1791, Loss  0.881122, Average Loss  0.874878, Time  0.240250
2021-09-16 01:33:26.074111 : Epoch  1, Batch   1792, Loss  0.881903, Average Loss  0.874872, Time  0.241040
2021-09-16 01:33:28.663247 : Epoch  1, Batch   1793, Loss  0.876474, Average Loss  0.874875, Time  0.239905
2021-09-16 01:33:31.246023 : Epoch  1, Batch   1794, Loss  0.882728, Average Loss  0.874940, Time  0.240412
2021-09-16 01:33:33.838409 : Epoch  1, Batch   1795, Loss  0.853373, Average Loss  0.874770, Time  0.240250
2021-09-16 01:33:36.459952 : Epoch  1, Batch   1796, Loss  0.874273, Average Loss  0.874886, Time  0.251266
2021-09-16 01:33:37.632080 : CheckPoint: Validation Loss  0.00030877, Best Loss  0.00029379
2021-09-16 01:33:39.054892 : Epoch  1, Batch   1797, Loss  0.872703, Average Loss  0.874923, Time  0.244890
2021-09-16 01:33:40.632417 : Epoch  4, Batch    733, Loss  0.878866, Average Loss  0.870341, Time  0.266656
2021-09-16 01:33:41.645654 : Epoch  1, Batch   1798, Loss  0.868736, Average Loss  0.874907, Time  0.240186
2021-09-16 01:33:43.608872 : Epoch  4, Batch    734, Loss  0.882076, Average Loss  0.870398, Time  0.266309
2021-09-16 01:33:44.236432 : Epoch  1, Batch   1799, Loss  0.867898, Average Loss  0.874865, Time  0.240752
2021-09-16 01:33:46.627949 : Epoch  4, Batch    735, Loss  0.882901, Average Loss  0.870435, Time  0.265561
2021-09-16 01:33:46.836961 : Epoch  1, Batch   1800, Loss  0.890815, Average Loss  0.874936, Time  0.240225
2021-09-16 01:33:49.622609 : Epoch  4, Batch    736, Loss  0.871533, Average Loss  0.870444, Time  0.266221
2021-09-16 01:33:52.634736 : Epoch  4, Batch    737, Loss  0.867567, Average Loss  0.870484, Time  0.266953
2021-09-16 01:33:55.613618 : Epoch  4, Batch    738, Loss  0.877380, Average Loss  0.870635, Time  0.265421
2021-09-16 01:33:58.651831 : Epoch  4, Batch    739, Loss  0.901545, Average Loss  0.870794, Time  0.266694
2021-09-16 01:34:01.682152 : Epoch  4, Batch    740, Loss  0.860122, Average Loss  0.870761, Time  0.265839
2021-09-16 01:34:04.700344 : Epoch  4, Batch    741, Loss  0.879838, Average Loss  0.870784, Time  0.277397
2021-09-16 01:34:07.680354 : Epoch  4, Batch    742, Loss  0.867871, Average Loss  0.870769, Time  0.265500
2021-09-16 01:34:10.696254 : Epoch  4, Batch    743, Loss  0.879828, Average Loss  0.870758, Time  0.266009
2021-09-16 01:34:13.671266 : Epoch  4, Batch    744, Loss  0.835142, Average Loss  0.870615, Time  0.264904
2021-09-16 01:34:16.652527 : Epoch  4, Batch    745, Loss  0.870849, Average Loss  0.870652, Time  0.264864
2021-09-16 01:34:19.636897 : Epoch  4, Batch    746, Loss  0.861710, Average Loss  0.870722, Time  0.265492
2021-09-16 01:34:22.621467 : Epoch  4, Batch    747, Loss  0.866501, Average Loss  0.870760, Time  0.265828
2021-09-16 01:34:25.595974 : Epoch  4, Batch    748, Loss  0.867324, Average Loss  0.870822, Time  0.264655
2021-09-16 01:34:28.578813 : Epoch  4, Batch    749, Loss  0.851351, Average Loss  0.870687, Time  0.264728
2021-09-16 01:34:31.577708 : Epoch  4, Batch    750, Loss  0.876916, Average Loss  0.870851, Time  0.265033
2021-09-16 01:34:34.563395 : Epoch  4, Batch    751, Loss  0.878532, Average Loss  0.870824, Time  0.264775
2021-09-16 01:34:37.556064 : Epoch  4, Batch    752, Loss  0.881675, Average Loss  0.870983, Time  0.266227
2021-09-16 01:34:40.535950 : Epoch  4, Batch    753, Loss  0.869184, Average Loss  0.870907, Time  0.265242
2021-09-16 01:34:43.511173 : Epoch  4, Batch    754, Loss  0.858889, Average Loss  0.870727, Time  0.264737
2021-09-16 01:34:46.488950 : Epoch  4, Batch    755, Loss  0.858688, Average Loss  0.870705, Time  0.265563
2021-09-16 01:34:49.497686 : Epoch  4, Batch    756, Loss  0.852218, Average Loss  0.870658, Time  0.276742
2021-09-16 01:34:52.479166 : Epoch  4, Batch    757, Loss  0.853685, Average Loss  0.870652, Time  0.266264
2021-09-16 01:34:55.462079 : Epoch  4, Batch    758, Loss  0.859375, Average Loss  0.870537, Time  0.266603
2021-09-16 01:34:58.476098 : Epoch  4, Batch    759, Loss  0.843312, Average Loss  0.870401, Time  0.266550
2021-09-16 01:35:01.504105 : Epoch  4, Batch    760, Loss  0.854970, Average Loss  0.870383, Time  0.267946
2021-09-16 01:35:04.510364 : Epoch  4, Batch    761, Loss  0.862992, Average Loss  0.870367, Time  0.267139
2021-09-16 01:35:07.494093 : Epoch  4, Batch    762, Loss  0.863415, Average Loss  0.870352, Time  0.265516
2021-09-16 01:35:10.489472 : Epoch  4, Batch    763, Loss  0.890438, Average Loss  0.870396, Time  0.265812
2021-09-16 01:35:13.488974 : Epoch  4, Batch    764, Loss  0.860550, Average Loss  0.870450, Time  0.265595
2021-09-16 01:35:16.484467 : Epoch  4, Batch    765, Loss  0.868440, Average Loss  0.870371, Time  0.265964
2021-09-16 01:35:19.472779 : Epoch  4, Batch    766, Loss  0.879500, Average Loss  0.870315, Time  0.268307
2021-09-16 01:35:22.453911 : Epoch  4, Batch    767, Loss  0.863975, Average Loss  0.870314, Time  0.264740
2021-09-16 01:35:25.435352 : Epoch  4, Batch    768, Loss  0.876367, Average Loss  0.870286, Time  0.266454
2021-09-16 01:35:28.423398 : Epoch  4, Batch    769, Loss  0.881627, Average Loss  0.870265, Time  0.265908
2021-09-16 01:35:31.414273 : Epoch  4, Batch    770, Loss  0.867497, Average Loss  0.870267, Time  0.265574
2021-09-16 01:35:34.406057 : Epoch  4, Batch    771, Loss  0.879544, Average Loss  0.870246, Time  0.278429
2021-09-16 01:35:37.424923 : Epoch  4, Batch    772, Loss  0.871963, Average Loss  0.870241, Time  0.265741
2021-09-16 01:35:40.420782 : Epoch  4, Batch    773, Loss  0.869807, Average Loss  0.870268, Time  0.265985
2021-09-16 01:35:43.412132 : Epoch  4, Batch    774, Loss  0.856888, Average Loss  0.870253, Time  0.266516
2021-09-16 01:35:46.419853 : Epoch  4, Batch    775, Loss  0.869865, Average Loss  0.870263, Time  0.265173
2021-09-16 01:35:49.444628 : Epoch  4, Batch    776, Loss  0.856218, Average Loss  0.870249, Time  0.265594
2021-09-16 01:35:52.425768 : Epoch  4, Batch    777, Loss  0.878053, Average Loss  0.870295, Time  0.265810
2021-09-16 01:35:55.423712 : Epoch  4, Batch    778, Loss  0.859489, Average Loss  0.870194, Time  0.266749
2021-09-16 01:35:58.443213 : Epoch  4, Batch    779, Loss  0.870681, Average Loss  0.870203, Time  0.266765
2021-09-16 01:36:01.452344 : Epoch  4, Batch    780, Loss  0.869321, Average Loss  0.870109, Time  0.265041
2021-09-16 01:36:04.398008 : Epoch  4, Batch    781, Loss  0.875322, Average Loss  0.870106, Time  0.265885
2021-09-16 01:36:07.386478 : Epoch  4, Batch    782, Loss  0.878943, Average Loss  0.870231, Time  0.265304
2021-09-16 01:36:10.392071 : Epoch  4, Batch    783, Loss  0.877507, Average Loss  0.870254, Time  0.266108
2021-09-16 01:36:13.393145 : Epoch  4, Batch    784, Loss  0.864082, Average Loss  0.870117, Time  0.267920
2021-09-16 01:36:16.406844 : Epoch  4, Batch    785, Loss  0.851736, Average Loss  0.870023, Time  0.265240
2021-09-16 01:36:19.413038 : Epoch  4, Batch    786, Loss  0.855846, Average Loss  0.869881, Time  0.276567
2021-09-16 01:36:22.392746 : Epoch  4, Batch    787, Loss  0.865460, Average Loss  0.869960, Time  0.266812
2021-09-16 01:36:25.404931 : Epoch  4, Batch    788, Loss  0.859190, Average Loss  0.869959, Time  0.264879
2021-09-16 01:36:28.387822 : Epoch  4, Batch    789, Loss  0.862012, Average Loss  0.869855, Time  0.265255
2021-09-16 01:36:31.369034 : Epoch  4, Batch    790, Loss  0.877603, Average Loss  0.869973, Time  0.265090
2021-09-16 01:36:34.428841 : Epoch  4, Batch    791, Loss  0.856362, Average Loss  0.870004, Time  0.265428
2021-09-16 01:36:37.465164 : Epoch  4, Batch    792, Loss  0.874227, Average Loss  0.870105, Time  0.265580
2021-09-16 01:36:40.471900 : Epoch  4, Batch    793, Loss  0.850704, Average Loss  0.869889, Time  0.264796
2021-09-16 01:36:43.457615 : Epoch  4, Batch    794, Loss  0.854275, Average Loss  0.869871, Time  0.265569
2021-09-16 01:36:46.458195 : Epoch  4, Batch    795, Loss  0.859773, Average Loss  0.869806, Time  0.265960
2021-09-16 01:36:49.448744 : Epoch  4, Batch    796, Loss  0.893518, Average Loss  0.869959, Time  0.265125
2021-09-16 01:36:52.431540 : Epoch  4, Batch    797, Loss  0.879344, Average Loss  0.869919, Time  0.266032
2021-09-16 01:36:55.445641 : Epoch  4, Batch    798, Loss  0.852614, Average Loss  0.869874, Time  0.267623
2021-09-16 01:36:58.431996 : Epoch  4, Batch    799, Loss  0.860233, Average Loss  0.869848, Time  0.265623
2021-09-16 01:37:01.444364 : Epoch  4, Batch    800, Loss  0.843020, Average Loss  0.869723, Time  0.266231
2021-09-16 01:37:04.438292 : Epoch  4, Batch    801, Loss  0.869443, Average Loss  0.869677, Time  0.275782
2021-09-16 01:37:07.422410 : Epoch  4, Batch    802, Loss  0.877068, Average Loss  0.869728, Time  0.265453
2021-09-16 01:37:10.430884 : Epoch  4, Batch    803, Loss  0.886297, Average Loss  0.869791, Time  0.266639
2021-09-16 01:37:13.421270 : Epoch  4, Batch    804, Loss  0.883421, Average Loss  0.869959, Time  0.265022
2021-09-16 01:37:16.438406 : Epoch  4, Batch    805, Loss  0.872115, Average Loss  0.869830, Time  0.265143
2021-09-16 01:37:19.468710 : Epoch  4, Batch    806, Loss  0.879791, Average Loss  0.869815, Time  0.265535
2021-09-16 01:37:22.446750 : Epoch  4, Batch    807, Loss  0.866897, Average Loss  0.869854, Time  0.265309
2021-09-16 01:37:25.438835 : Epoch  4, Batch    808, Loss  0.878772, Average Loss  0.869789, Time  0.265723
2021-09-16 01:37:28.432453 : Epoch  4, Batch    809, Loss  0.852930, Average Loss  0.869673, Time  0.264997
2021-09-16 01:37:31.467843 : Epoch  4, Batch    810, Loss  0.891154, Average Loss  0.869796, Time  0.264757
2021-09-16 01:37:34.461103 : Epoch  4, Batch    811, Loss  0.861863, Average Loss  0.869627, Time  0.264531
2021-09-16 01:37:37.458542 : Epoch  4, Batch    812, Loss  0.884048, Average Loss  0.869710, Time  0.265410
2021-09-16 01:37:40.469225 : Epoch  4, Batch    813, Loss  0.867238, Average Loss  0.869756, Time  0.265583
2021-09-16 01:37:43.449076 : Epoch  4, Batch    814, Loss  0.883495, Average Loss  0.869870, Time  0.265657
2021-09-16 01:37:46.432323 : Epoch  4, Batch    815, Loss  0.882178, Average Loss  0.869907, Time  0.265309
2021-09-16 01:37:49.171748 : CheckPoint: Validation Loss  0.00029477, Best Loss  0.00029477
2021-09-16 01:37:49.216556 : Best Model Updated
2021-09-16 01:37:49.445977 : Epoch  4, Batch    816, Loss  0.850907, Average Loss  0.869795, Time  0.278561
2021-09-16 01:37:52.490418 : Epoch  4, Batch    817, Loss  0.847901, Average Loss  0.869752, Time  0.265922
2021-09-16 01:37:52.593104 : Epoch  1, Batch   1801, Loss  0.895284, Average Loss  0.874983, Time  0.251883
2021-09-16 01:37:55.188404 : Epoch  1, Batch   1802, Loss  0.886248, Average Loss  0.874932, Time  0.240116
2021-09-16 01:37:55.475617 : Epoch  4, Batch    818, Loss  0.879002, Average Loss  0.869778, Time  0.268573
2021-09-16 01:37:57.775937 : Epoch  1, Batch   1803, Loss  0.880531, Average Loss  0.874951, Time  0.240325
2021-09-16 01:37:58.452741 : Epoch  4, Batch    819, Loss  0.876170, Average Loss  0.869738, Time  0.265332
2021-09-16 01:38:00.365374 : Epoch  1, Batch   1804, Loss  0.882796, Average Loss  0.875050, Time  0.240448
2021-09-16 01:38:01.456715 : Epoch  4, Batch    820, Loss  0.870943, Average Loss  0.869736, Time  0.267029
2021-09-16 01:38:02.945612 : Epoch  1, Batch   1805, Loss  0.873613, Average Loss  0.875017, Time  0.240131
2021-09-16 01:38:04.463874 : Epoch  4, Batch    821, Loss  0.881898, Average Loss  0.869829, Time  0.266782
2021-09-16 01:38:05.558886 : Epoch  1, Batch   1806, Loss  0.878167, Average Loss  0.875016, Time  0.240218
2021-09-16 01:38:07.476977 : Epoch  4, Batch    822, Loss  0.858992, Average Loss  0.869798, Time  0.266384
2021-09-16 01:38:08.151897 : Epoch  1, Batch   1807, Loss  0.888199, Average Loss  0.875080, Time  0.240286
2021-09-16 01:38:10.475140 : Epoch  4, Batch    823, Loss  0.842560, Average Loss  0.869707, Time  0.265554
2021-09-16 01:38:10.747693 : Epoch  1, Batch   1808, Loss  0.883699, Average Loss  0.875000, Time  0.240018
2021-09-16 01:38:13.341131 : Epoch  1, Batch   1809, Loss  0.877959, Average Loss  0.874959, Time  0.240112
2021-09-16 01:38:13.458526 : Epoch  4, Batch    824, Loss  0.873927, Average Loss  0.869735, Time  0.265344
2021-09-16 01:38:15.955357 : Epoch  1, Batch   1810, Loss  0.890759, Average Loss  0.875067, Time  0.239913
2021-09-16 01:38:16.439787 : Epoch  4, Batch    825, Loss  0.854701, Average Loss  0.869622, Time  0.266185
2021-09-16 01:38:18.561728 : Epoch  1, Batch   1811, Loss  0.880729, Average Loss  0.875081, Time  0.240599
2021-09-16 01:38:19.433266 : Epoch  4, Batch    826, Loss  0.853019, Average Loss  0.869627, Time  0.265464
2021-09-16 01:38:21.152740 : Epoch  1, Batch   1812, Loss  0.870874, Average Loss  0.875036, Time  0.240602
2021-09-16 01:38:22.422808 : Epoch  4, Batch    827, Loss  0.867658, Average Loss  0.869563, Time  0.265585
2021-09-16 01:38:23.744855 : Epoch  1, Batch   1813, Loss  0.869179, Average Loss  0.874907, Time  0.241197
2021-09-16 01:38:25.436826 : Epoch  4, Batch    828, Loss  0.853987, Average Loss  0.869359, Time  0.265229
2021-09-16 01:38:26.332157 : Epoch  1, Batch   1814, Loss  0.871544, Average Loss  0.874849, Time  0.239866
2021-09-16 01:38:28.420737 : Epoch  4, Batch    829, Loss  0.883638, Average Loss  0.869479, Time  0.265425
2021-09-16 01:38:28.919732 : Epoch  1, Batch   1815, Loss  0.886603, Average Loss  0.875019, Time  0.240216
2021-09-16 01:38:31.396874 : Epoch  4, Batch    830, Loss  0.860350, Average Loss  0.869490, Time  0.265806
2021-09-16 01:38:31.505864 : Epoch  1, Batch   1816, Loss  0.879669, Average Loss  0.875104, Time  0.241149
2021-09-16 01:38:34.103082 : Epoch  1, Batch   1817, Loss  0.858159, Average Loss  0.874966, Time  0.239835
2021-09-16 01:38:34.432325 : Epoch  4, Batch    831, Loss  0.862403, Average Loss  0.869477, Time  0.277490
2021-09-16 01:38:36.701947 : Epoch  1, Batch   1818, Loss  0.853429, Average Loss  0.874901, Time  0.241955
2021-09-16 01:38:37.439939 : Epoch  4, Batch    832, Loss  0.858128, Average Loss  0.869363, Time  0.264981
2021-09-16 01:38:39.292965 : Epoch  1, Batch   1819, Loss  0.883304, Average Loss  0.874821, Time  0.240981
2021-09-16 01:38:41.880299 : Epoch  1, Batch   1820, Loss  0.888870, Average Loss  0.874938, Time  0.240240
2021-09-16 01:38:44.467929 : Epoch  1, Batch   1821, Loss  0.881861, Average Loss  0.874933, Time  0.241803
2021-09-16 01:38:47.080001 : Epoch  1, Batch   1822, Loss  0.873534, Average Loss  0.874810, Time  0.240636
2021-09-16 01:38:49.664497 : Epoch  1, Batch   1823, Loss  0.877482, Average Loss  0.874848, Time  0.241020
2021-09-16 01:38:52.254373 : Epoch  1, Batch   1824, Loss  0.860482, Average Loss  0.874845, Time  0.243297
2021-09-16 01:38:54.837268 : Epoch  1, Batch   1825, Loss  0.893135, Average Loss  0.874930, Time  0.240081
2021-09-16 01:38:57.428425 : Epoch  1, Batch   1826, Loss  0.873585, Average Loss  0.874929, Time  0.239823
2021-09-16 01:39:00.017515 : Epoch  1, Batch   1827, Loss  0.878401, Average Loss  0.874915, Time  0.240035
2021-09-16 01:39:02.598114 : Epoch  1, Batch   1828, Loss  0.877848, Average Loss  0.874896, Time  0.240189
2021-09-16 01:39:05.174941 : Epoch  1, Batch   1829, Loss  0.855307, Average Loss  0.874749, Time  0.239973
2021-09-16 01:39:07.764184 : Epoch  1, Batch   1830, Loss  0.845920, Average Loss  0.874503, Time  0.241454
2021-09-16 01:39:10.373110 : Epoch  1, Batch   1831, Loss  0.884330, Average Loss  0.874557, Time  0.240391
2021-09-16 01:39:12.956913 : Epoch  1, Batch   1832, Loss  0.856448, Average Loss  0.874433, Time  0.240494
2021-09-16 01:39:15.538890 : Epoch  1, Batch   1833, Loss  0.888474, Average Loss  0.874453, Time  0.240027
2021-09-16 01:39:18.122153 : Epoch  1, Batch   1834, Loss  0.894756, Average Loss  0.874523, Time  0.241220
2021-09-16 01:39:20.713204 : Epoch  1, Batch   1835, Loss  0.870849, Average Loss  0.874535, Time  0.240728
2021-09-16 01:39:23.299161 : Epoch  1, Batch   1836, Loss  0.886212, Average Loss  0.874690, Time  0.240018
2021-09-16 01:39:25.880517 : Epoch  1, Batch   1837, Loss  0.884845, Average Loss  0.874718, Time  0.239736
2021-09-16 01:39:28.466699 : Epoch  1, Batch   1838, Loss  0.879933, Average Loss  0.874816, Time  0.240358
2021-09-16 01:39:31.060369 : Epoch  1, Batch   1839, Loss  0.863779, Average Loss  0.874693, Time  0.242028
2021-09-16 01:39:33.642968 : Epoch  1, Batch   1840, Loss  0.883242, Average Loss  0.874677, Time  0.240287
2021-09-16 01:39:36.238433 : Epoch  1, Batch   1841, Loss  0.892273, Average Loss  0.874811, Time  0.240541
2021-09-16 01:39:38.832187 : Epoch  1, Batch   1842, Loss  0.873327, Average Loss  0.874880, Time  0.241340
2021-09-16 01:39:41.449959 : Epoch  1, Batch   1843, Loss  0.868788, Average Loss  0.874764, Time  0.240098
2021-09-16 01:39:44.034351 : Epoch  1, Batch   1844, Loss  0.889325, Average Loss  0.874882, Time  0.240904
2021-09-16 01:39:46.638340 : Epoch  1, Batch   1845, Loss  0.881311, Average Loss  0.874905, Time  0.240359
2021-09-16 01:39:49.231444 : Epoch  1, Batch   1846, Loss  0.878851, Average Loss  0.874873, Time  0.240003
2021-09-16 01:39:51.831443 : Epoch  1, Batch   1847, Loss  0.893720, Average Loss  0.874988, Time  0.240636
2021-09-16 01:39:54.438459 : Epoch  1, Batch   1848, Loss  0.863296, Average Loss  0.875066, Time  0.240118
2021-09-16 01:39:57.024554 : Epoch  1, Batch   1849, Loss  0.873650, Average Loss  0.874940, Time  0.240478
2021-09-16 01:39:59.616098 : Epoch  1, Batch   1850, Loss  0.875470, Average Loss  0.874976, Time  0.240973
2021-09-16 01:40:02.202790 : Epoch  1, Batch   1851, Loss  0.860900, Average Loss  0.874843, Time  0.240117
2021-09-16 01:40:04.792155 : Epoch  1, Batch   1852, Loss  0.884278, Average Loss  0.874892, Time  0.240592
2021-09-16 01:40:07.386451 : Epoch  1, Batch   1853, Loss  0.863404, Average Loss  0.874658, Time  0.240401
2021-09-16 01:40:09.967897 : Epoch  1, Batch   1854, Loss  0.865213, Average Loss  0.874567, Time  0.241454
2021-09-16 01:40:12.558412 : Epoch  1, Batch   1855, Loss  0.887598, Average Loss  0.874658, Time  0.241706
2021-09-16 01:40:15.142005 : Epoch  1, Batch   1856, Loss  0.878018, Average Loss  0.874634, Time  0.240521
2021-09-16 01:40:15.180378 : Saving Model after 1-th Epoch.
2021-09-16 01:40:16.081805 : Epoch Finished.
2021-09-16 01:40:24.999840 : Batch Shuffled
2021-09-16 01:40:27.624815 : Epoch  2, Batch      1, Loss  0.856114, Average Loss  0.874512, Time  0.270362
2021-09-16 01:40:30.217299 : Epoch  2, Batch      2, Loss  0.877870, Average Loss  0.874528, Time  0.249215
2021-09-16 01:40:32.802263 : Epoch  2, Batch      3, Loss  0.892770, Average Loss  0.874600, Time  0.240581
2021-09-16 01:40:35.389857 : Epoch  2, Batch      4, Loss  0.853719, Average Loss  0.874484, Time  0.240731
2021-09-16 01:40:37.967689 : Epoch  2, Batch      5, Loss  0.875309, Average Loss  0.874508, Time  0.240074
2021-09-16 01:40:40.561543 : Epoch  2, Batch      6, Loss  0.870058, Average Loss  0.874497, Time  0.240906
2021-09-16 01:40:43.139584 : Epoch  2, Batch      7, Loss  0.897256, Average Loss  0.874593, Time  0.240773
2021-09-16 01:40:45.736329 : Epoch  2, Batch      8, Loss  0.885825, Average Loss  0.874736, Time  0.240938
2021-09-16 01:40:48.330469 : Epoch  2, Batch      9, Loss  0.874501, Average Loss  0.874696, Time  0.241448
2021-09-16 01:40:50.941874 : Epoch  2, Batch     10, Loss  0.877088, Average Loss  0.874679, Time  0.241743
2021-09-16 01:40:53.528720 : Epoch  2, Batch     11, Loss  0.886824, Average Loss  0.874709, Time  0.241992
2021-09-16 01:40:56.115401 : Epoch  2, Batch     12, Loss  0.875102, Average Loss  0.874750, Time  0.239895
2021-09-16 01:40:58.712177 : Epoch  2, Batch     13, Loss  0.852947, Average Loss  0.874639, Time  0.240583
2021-09-16 01:41:01.296261 : Epoch  2, Batch     14, Loss  0.858418, Average Loss  0.874589, Time  0.241287
2021-09-16 01:41:03.883956 : Epoch  2, Batch     15, Loss  0.892901, Average Loss  0.874708, Time  0.240385
2021-09-16 01:41:06.474922 : Epoch  2, Batch     16, Loss  0.866576, Average Loss  0.874609, Time  0.242223
2021-09-16 01:41:09.068934 : Epoch  2, Batch     17, Loss  0.854683, Average Loss  0.874657, Time  0.241362
2021-09-16 01:41:11.664011 : Epoch  2, Batch     18, Loss  0.897296, Average Loss  0.874724, Time  0.241266
2021-09-16 01:41:14.257221 : Epoch  2, Batch     19, Loss  0.880329, Average Loss  0.874841, Time  0.240061
2021-09-16 01:41:16.841264 : Epoch  2, Batch     20, Loss  0.851495, Average Loss  0.874852, Time  0.242475
2021-09-16 01:41:19.438046 : Epoch  2, Batch     21, Loss  0.867021, Average Loss  0.874766, Time  0.241256
2021-09-16 01:41:22.037069 : Epoch  2, Batch     22, Loss  0.863209, Average Loss  0.874748, Time  0.240565
2021-09-16 01:41:24.630255 : Epoch  2, Batch     23, Loss  0.888185, Average Loss  0.874808, Time  0.242342
2021-09-16 01:41:27.240165 : Epoch  2, Batch     24, Loss  0.882061, Average Loss  0.874788, Time  0.240220
2021-09-16 01:41:29.835093 : Epoch  2, Batch     25, Loss  0.863431, Average Loss  0.874764, Time  0.241425
2021-09-16 01:41:32.425260 : Epoch  2, Batch     26, Loss  0.884512, Average Loss  0.874886, Time  0.240412
2021-09-16 01:41:35.017857 : Epoch  2, Batch     27, Loss  0.844509, Average Loss  0.874751, Time  0.241293
2021-09-16 01:41:37.613097 : Epoch  2, Batch     28, Loss  0.867586, Average Loss  0.874684, Time  0.241005
2021-09-16 01:41:40.245410 : Epoch  2, Batch     29, Loss  0.876243, Average Loss  0.874551, Time  0.239878
2021-09-16 01:41:42.843386 : Epoch  2, Batch     30, Loss  0.863010, Average Loss  0.874445, Time  0.240811
2021-09-16 01:41:45.441398 : Epoch  2, Batch     31, Loss  0.879466, Average Loss  0.874483, Time  0.240342
2021-09-16 01:41:48.054917 : Epoch  2, Batch     32, Loss  0.873529, Average Loss  0.874455, Time  0.240292
2021-09-16 01:41:50.651490 : Epoch  2, Batch     33, Loss  0.867397, Average Loss  0.874495, Time  0.241064
2021-09-16 01:41:53.244471 : Epoch  2, Batch     34, Loss  0.863732, Average Loss  0.874373, Time  0.241071
2021-09-16 01:41:55.835982 : Epoch  2, Batch     35, Loss  0.847007, Average Loss  0.874198, Time  0.240259
2021-09-16 01:41:58.441416 : Epoch  2, Batch     36, Loss  0.875379, Average Loss  0.874259, Time  0.240567
2021-09-16 01:42:01.036978 : Epoch  2, Batch     37, Loss  0.860478, Average Loss  0.874028, Time  0.239890
2021-09-16 01:42:03.640144 : Epoch  2, Batch     38, Loss  0.873395, Average Loss  0.874002, Time  0.241149
2021-09-16 01:42:06.224415 : Epoch  2, Batch     39, Loss  0.865159, Average Loss  0.874071, Time  0.240128
2021-09-16 01:42:08.808330 : Epoch  2, Batch     40, Loss  0.881361, Average Loss  0.874130, Time  0.239995
2021-09-16 01:42:11.402150 : Epoch  2, Batch     41, Loss  0.882849, Average Loss  0.874160, Time  0.241904
2021-09-16 01:42:13.994033 : Epoch  2, Batch     42, Loss  0.876210, Average Loss  0.874169, Time  0.242121
2021-09-16 01:42:16.593421 : Epoch  2, Batch     43, Loss  0.864206, Average Loss  0.874073, Time  0.240424
2021-09-16 01:42:19.193848 : Epoch  2, Batch     44, Loss  0.902207, Average Loss  0.874381, Time  0.240841
2021-09-16 01:43:17.743117 : CheckPoint: Validation Loss  0.00030552, Best Loss  0.00029379
2021-09-16 01:43:20.774038 : Epoch  4, Batch    833, Loss  0.860094, Average Loss  0.869246, Time  0.268663
2021-09-16 01:43:23.807802 : Epoch  4, Batch    834, Loss  0.897102, Average Loss  0.869372, Time  0.265175
2021-09-16 01:43:26.812930 : Epoch  4, Batch    835, Loss  0.857592, Average Loss  0.869278, Time  0.265556
2021-09-16 01:43:29.847804 : Epoch  4, Batch    836, Loss  0.870518, Average Loss  0.869222, Time  0.266039
2021-09-16 01:43:32.847293 : Epoch  4, Batch    837, Loss  0.878487, Average Loss  0.869234, Time  0.267882
2021-09-16 01:43:35.854356 : Epoch  4, Batch    838, Loss  0.878566, Average Loss  0.869291, Time  0.265888
2021-09-16 01:43:38.881197 : Epoch  4, Batch    839, Loss  0.873106, Average Loss  0.869265, Time  0.266277
2021-09-16 01:43:41.901828 : Epoch  4, Batch    840, Loss  0.873709, Average Loss  0.869213, Time  0.266507
2021-09-16 01:43:44.939819 : Epoch  4, Batch    841, Loss  0.868807, Average Loss  0.869291, Time  0.266085
2021-09-16 01:43:47.940926 : Epoch  4, Batch    842, Loss  0.859777, Average Loss  0.869260, Time  0.267425
2021-09-16 01:43:50.955420 : Epoch  4, Batch    843, Loss  0.863451, Average Loss  0.869355, Time  0.264852
2021-09-16 01:43:53.941400 : Epoch  4, Batch    844, Loss  0.875863, Average Loss  0.869363, Time  0.266363
2021-09-16 01:43:56.982245 : Epoch  4, Batch    845, Loss  0.857183, Average Loss  0.869281, Time  0.276691
2021-09-16 01:43:59.979389 : Epoch  4, Batch    846, Loss  0.867369, Average Loss  0.869349, Time  0.265199
2021-09-16 01:44:02.973808 : Epoch  4, Batch    847, Loss  0.850743, Average Loss  0.869146, Time  0.265767
2021-09-16 01:44:05.974041 : Epoch  4, Batch    848, Loss  0.849535, Average Loss  0.869105, Time  0.265296
2021-09-16 01:44:08.953202 : Epoch  4, Batch    849, Loss  0.865251, Average Loss  0.869117, Time  0.265822
2021-09-16 01:44:11.937033 : Epoch  4, Batch    850, Loss  0.870504, Average Loss  0.869166, Time  0.265569
2021-09-16 01:44:14.945713 : Epoch  4, Batch    851, Loss  0.857258, Average Loss  0.869111, Time  0.264590
2021-09-16 01:44:17.930580 : Epoch  4, Batch    852, Loss  0.894090, Average Loss  0.869199, Time  0.266422
2021-09-16 01:44:20.915070 : Epoch  4, Batch    853, Loss  0.874073, Average Loss  0.869118, Time  0.265874
2021-09-16 01:44:23.903404 : Epoch  4, Batch    854, Loss  0.870193, Average Loss  0.869128, Time  0.266166
2021-09-16 01:44:26.903812 : Epoch  4, Batch    855, Loss  0.868193, Average Loss  0.869151, Time  0.265702
2021-09-16 01:44:29.911960 : Epoch  4, Batch    856, Loss  0.886973, Average Loss  0.869281, Time  0.265721
2021-09-16 01:44:32.924677 : Epoch  4, Batch    857, Loss  0.850443, Average Loss  0.869203, Time  0.267612
2021-09-16 01:44:35.941196 : Epoch  4, Batch    858, Loss  0.864360, Average Loss  0.869210, Time  0.264491
2021-09-16 01:44:38.955575 : Epoch  4, Batch    859, Loss  0.880918, Average Loss  0.869276, Time  0.266668
2021-09-16 01:44:41.979135 : Epoch  4, Batch    860, Loss  0.843637, Average Loss  0.869055, Time  0.276608
2021-09-16 01:44:44.968697 : Epoch  4, Batch    861, Loss  0.878404, Average Loss  0.869122, Time  0.266170
2021-09-16 01:44:47.966650 : Epoch  4, Batch    862, Loss  0.848096, Average Loss  0.868916, Time  0.265734
2021-09-16 01:44:50.956768 : Epoch  4, Batch    863, Loss  0.866017, Average Loss  0.868838, Time  0.265288
2021-09-16 01:44:53.943881 : Epoch  4, Batch    864, Loss  0.863982, Average Loss  0.868793, Time  0.265526
2021-09-16 01:44:56.964864 : Epoch  4, Batch    865, Loss  0.893204, Average Loss  0.868852, Time  0.265080
2021-09-16 01:44:59.950149 : Epoch  4, Batch    866, Loss  0.877363, Average Loss  0.868862, Time  0.265866
2021-09-16 01:45:02.924203 : Epoch  4, Batch    867, Loss  0.868295, Average Loss  0.868814, Time  0.265688
2021-09-16 01:45:05.901594 : Epoch  4, Batch    868, Loss  0.854172, Average Loss  0.868737, Time  0.265425
2021-09-16 01:45:08.905050 : Epoch  4, Batch    869, Loss  0.846621, Average Loss  0.868621, Time  0.266589
2021-09-16 01:45:11.916827 : Epoch  4, Batch    870, Loss  0.861437, Average Loss  0.868610, Time  0.265573
2021-09-16 01:45:14.942098 : Epoch  4, Batch    871, Loss  0.869457, Average Loss  0.868603, Time  0.266023
2021-09-16 01:45:17.949478 : Epoch  4, Batch    872, Loss  0.873534, Average Loss  0.868621, Time  0.265636
2021-09-16 01:45:20.950953 : Epoch  4, Batch    873, Loss  0.860502, Average Loss  0.868592, Time  0.264937
2021-09-16 01:45:23.961520 : Epoch  4, Batch    874, Loss  0.860749, Average Loss  0.868583, Time  0.265881
2021-09-16 01:45:26.963124 : Epoch  4, Batch    875, Loss  0.869863, Average Loss  0.868598, Time  0.271406
2021-09-16 01:45:29.957590 : Epoch  4, Batch    876, Loss  0.858607, Average Loss  0.868428, Time  0.265856
2021-09-16 01:45:32.946953 : Epoch  4, Batch    877, Loss  0.875310, Average Loss  0.868484, Time  0.265751
2021-09-16 01:45:35.937248 : Epoch  4, Batch    878, Loss  0.910914, Average Loss  0.868729, Time  0.266323
2021-09-16 01:45:38.958606 : Epoch  4, Batch    879, Loss  0.863012, Average Loss  0.868738, Time  0.267401
2021-09-16 01:45:41.969408 : Epoch  4, Batch    880, Loss  0.839147, Average Loss  0.868663, Time  0.266807
2021-09-16 01:45:44.926203 : Epoch  4, Batch    881, Loss  0.851055, Average Loss  0.868510, Time  0.265738
2021-09-16 01:45:47.931064 : Epoch  4, Batch    882, Loss  0.890863, Average Loss  0.868639, Time  0.265546
2021-09-16 01:45:50.940352 : Epoch  4, Batch    883, Loss  0.883600, Average Loss  0.868765, Time  0.265878
2021-09-16 01:45:53.961679 : Epoch  4, Batch    884, Loss  0.865032, Average Loss  0.868690, Time  0.265456
2021-09-16 01:45:56.969271 : Epoch  4, Batch    885, Loss  0.881264, Average Loss  0.868836, Time  0.264951
2021-09-16 01:45:59.958267 : Epoch  4, Batch    886, Loss  0.852578, Average Loss  0.868815, Time  0.265881
2021-09-16 01:46:02.974485 : Epoch  4, Batch    887, Loss  0.882956, Average Loss  0.868966, Time  0.265073
2021-09-16 01:46:05.968879 : Epoch  4, Batch    888, Loss  0.868689, Average Loss  0.868926, Time  0.265673
2021-09-16 01:46:08.954952 : Epoch  4, Batch    889, Loss  0.861215, Average Loss  0.868914, Time  0.265162
2021-09-16 01:46:11.974259 : Epoch  4, Batch    890, Loss  0.842868, Average Loss  0.868667, Time  0.277679
2021-09-16 01:46:14.965444 : Epoch  4, Batch    891, Loss  0.853563, Average Loss  0.868606, Time  0.265818
2021-09-16 01:46:17.970360 : Epoch  4, Batch    892, Loss  0.859792, Average Loss  0.868521, Time  0.265646
2021-09-16 01:46:20.980128 : Epoch  4, Batch    893, Loss  0.876257, Average Loss  0.868452, Time  0.265046
2021-09-16 01:46:21.849764 : CheckPoint: Validation Loss  0.00030783, Best Loss  0.00029477
2021-09-16 01:46:23.985241 : Epoch  4, Batch    894, Loss  0.867608, Average Loss  0.868512, Time  0.265506
2021-09-16 01:46:24.456085 : Epoch  2, Batch     45, Loss  0.869026, Average Loss  0.874274, Time  0.242963
2021-09-16 01:46:26.946928 : Epoch  4, Batch    895, Loss  0.859334, Average Loss  0.868420, Time  0.264769
2021-09-16 01:46:27.032020 : Epoch  2, Batch     46, Loss  0.872554, Average Loss  0.874285, Time  0.243239
2021-09-16 01:46:29.602756 : Epoch  2, Batch     47, Loss  0.881365, Average Loss  0.874369, Time  0.241442
2021-09-16 01:46:29.950967 : Epoch  4, Batch    896, Loss  0.861474, Average Loss  0.868374, Time  0.265804
2021-09-16 01:46:32.192640 : Epoch  2, Batch     48, Loss  0.870273, Average Loss  0.874390, Time  0.242785
2021-09-16 01:46:32.922449 : Epoch  4, Batch    897, Loss  0.881296, Average Loss  0.868504, Time  0.265655
2021-09-16 01:46:34.786933 : Epoch  2, Batch     49, Loss  0.878567, Average Loss  0.874392, Time  0.243009
2021-09-16 01:46:35.947386 : Epoch  4, Batch    898, Loss  0.881775, Average Loss  0.868479, Time  0.267112
2021-09-16 01:46:37.384185 : Epoch  2, Batch     50, Loss  0.859649, Average Loss  0.874353, Time  0.240974
2021-09-16 01:46:38.984779 : Epoch  4, Batch    899, Loss  0.863719, Average Loss  0.868455, Time  0.266409
2021-09-16 01:46:39.973848 : Epoch  2, Batch     51, Loss  0.862015, Average Loss  0.874326, Time  0.241769
2021-09-16 01:46:41.993210 : Epoch  4, Batch    900, Loss  0.882645, Average Loss  0.868568, Time  0.266074
2021-09-16 01:46:42.561911 : Epoch  2, Batch     52, Loss  0.877741, Average Loss  0.874220, Time  0.241686
2021-09-16 01:46:45.005953 : Epoch  4, Batch    901, Loss  0.874259, Average Loss  0.868626, Time  0.265300
2021-09-16 01:46:45.150262 : Epoch  2, Batch     53, Loss  0.890868, Average Loss  0.874295, Time  0.240230
2021-09-16 01:46:47.736173 : Epoch  2, Batch     54, Loss  0.854351, Average Loss  0.874158, Time  0.240253
2021-09-16 01:46:47.994301 : Epoch  4, Batch    902, Loss  0.885622, Average Loss  0.868730, Time  0.265573
2021-09-16 01:46:50.349406 : Epoch  2, Batch     55, Loss  0.870702, Average Loss  0.874152, Time  0.239968
2021-09-16 01:46:50.987457 : Epoch  4, Batch    903, Loss  0.861256, Average Loss  0.868619, Time  0.265511
2021-09-16 01:46:52.946432 : Epoch  2, Batch     56, Loss  0.858776, Average Loss  0.874053, Time  0.239992
2021-09-16 01:46:53.990488 : Epoch  4, Batch    904, Loss  0.851892, Average Loss  0.868584, Time  0.265347
2021-09-16 01:46:55.539427 : Epoch  2, Batch     57, Loss  0.884641, Average Loss  0.874038, Time  0.240424
2021-09-16 01:46:57.018522 : Epoch  4, Batch    905, Loss  0.848260, Average Loss  0.868429, Time  0.273112
2021-09-16 01:46:58.133052 : Epoch  2, Batch     58, Loss  0.878325, Average Loss  0.874057, Time  0.240228
2021-09-16 01:47:00.007976 : Epoch  4, Batch    906, Loss  0.856704, Average Loss  0.868323, Time  0.265129
2021-09-16 01:47:00.721917 : Epoch  2, Batch     59, Loss  0.853149, Average Loss  0.874140, Time  0.240453
2021-09-16 01:47:03.017504 : Epoch  4, Batch    907, Loss  0.861614, Average Loss  0.868375, Time  0.266699
2021-09-16 01:47:03.310869 : Epoch  2, Batch     60, Loss  0.878000, Average Loss  0.874134, Time  0.240577
2021-09-16 01:47:05.906836 : Epoch  2, Batch     61, Loss  0.858902, Average Loss  0.874073, Time  0.240075
2021-09-16 01:47:06.024647 : Epoch  4, Batch    908, Loss  0.890156, Average Loss  0.868539, Time  0.265833
2021-09-16 01:47:08.507923 : Epoch  2, Batch     62, Loss  0.858451, Average Loss  0.873928, Time  0.242965
2021-09-16 01:47:09.024377 : Epoch  4, Batch    909, Loss  0.878300, Average Loss  0.868544, Time  0.265332
2021-09-16 01:47:11.090976 : Epoch  2, Batch     63, Loss  0.855128, Average Loss  0.873873, Time  0.240685
2021-09-16 01:47:12.045833 : Epoch  4, Batch    910, Loss  0.882444, Average Loss  0.868613, Time  0.265815
2021-09-16 01:47:13.679509 : Epoch  2, Batch     64, Loss  0.877204, Average Loss  0.873873, Time  0.241094
2021-09-16 01:47:15.071551 : Epoch  4, Batch    911, Loss  0.872002, Average Loss  0.868528, Time  0.265137
2021-09-16 01:47:16.259883 : Epoch  2, Batch     65, Loss  0.872874, Average Loss  0.873869, Time  0.242491
2021-09-16 01:47:18.085360 : Epoch  4, Batch    912, Loss  0.880424, Average Loss  0.868640, Time  0.266018
2021-09-16 01:47:18.836408 : Epoch  2, Batch     66, Loss  0.876428, Average Loss  0.873869, Time  0.242115
2021-09-16 01:47:21.096574 : Epoch  4, Batch    913, Loss  0.860249, Average Loss  0.868601, Time  0.265138
2021-09-16 01:47:21.415096 : Epoch  2, Batch     67, Loss  0.863695, Average Loss  0.873745, Time  0.241657
2021-09-16 01:47:23.998052 : Epoch  2, Batch     68, Loss  0.874616, Average Loss  0.873732, Time  0.241037
2021-09-16 01:47:24.113200 : Epoch  4, Batch    914, Loss  0.852612, Average Loss  0.868465, Time  0.265695
2021-09-16 01:47:26.578191 : Epoch  2, Batch     69, Loss  0.868855, Average Loss  0.873703, Time  0.241934
2021-09-16 01:47:27.114847 : Epoch  4, Batch    915, Loss  0.860166, Average Loss  0.868436, Time  0.266366
2021-09-16 01:47:29.153330 : Epoch  2, Batch     70, Loss  0.881660, Average Loss  0.873924, Time  0.239880
2021-09-16 01:47:30.123876 : Epoch  4, Batch    916, Loss  0.854833, Average Loss  0.868312, Time  0.267100
2021-09-16 01:47:31.747042 : Epoch  2, Batch     71, Loss  0.867244, Average Loss  0.873857, Time  0.240813
2021-09-16 01:47:33.167846 : Epoch  4, Batch    917, Loss  0.862720, Average Loss  0.868276, Time  0.266713
2021-09-16 01:47:34.365160 : Epoch  2, Batch     72, Loss  0.880786, Average Loss  0.873910, Time  0.242959
2021-09-16 01:47:36.166577 : Epoch  4, Batch    918, Loss  0.875217, Average Loss  0.868216, Time  0.267591
2021-09-16 01:47:36.948362 : Epoch  2, Batch     73, Loss  0.879497, Average Loss  0.873951, Time  0.239880
2021-09-16 01:47:39.175849 : Epoch  4, Batch    919, Loss  0.850649, Average Loss  0.868041, Time  0.266253
2021-09-16 01:47:39.546540 : Epoch  2, Batch     74, Loss  0.894368, Average Loss  0.874114, Time  0.240697
2021-09-16 01:47:42.128063 : Epoch  2, Batch     75, Loss  0.881447, Average Loss  0.874131, Time  0.241721
2021-09-16 01:47:42.227659 : Epoch  4, Batch    920, Loss  0.843715, Average Loss  0.867915, Time  0.278734
2021-09-16 01:47:44.711678 : Epoch  2, Batch     76, Loss  0.880556, Average Loss  0.874209, Time  0.240287
2021-09-16 01:47:45.261349 : Epoch  4, Batch    921, Loss  0.852917, Average Loss  0.867768, Time  0.266874
2021-09-16 01:47:47.309811 : Epoch  2, Batch     77, Loss  0.891675, Average Loss  0.874267, Time  0.240839
2021-09-16 01:47:48.263329 : Epoch  4, Batch    922, Loss  0.865770, Average Loss  0.867769, Time  0.265691
2021-09-16 01:47:49.891064 : Epoch  2, Batch     78, Loss  0.892025, Average Loss  0.874412, Time  0.240139
2021-09-16 01:47:51.273468 : Epoch  4, Batch    923, Loss  0.898031, Average Loss  0.867882, Time  0.267013
2021-09-16 01:47:52.473924 : Epoch  2, Batch     79, Loss  0.884552, Average Loss  0.874460, Time  0.240680
2021-09-16 01:47:54.324283 : Epoch  4, Batch    924, Loss  0.875332, Average Loss  0.868011, Time  0.264977
2021-09-16 01:47:55.056856 : Epoch  2, Batch     80, Loss  0.852188, Average Loss  0.874385, Time  0.240443
2021-09-16 01:47:57.353851 : Epoch  4, Batch    925, Loss  0.851683, Average Loss  0.867930, Time  0.266004
2021-09-16 01:47:57.647545 : Epoch  2, Batch     81, Loss  0.881759, Average Loss  0.874473, Time  0.240704
2021-09-16 01:48:00.222147 : Epoch  2, Batch     82, Loss  0.871009, Average Loss  0.874477, Time  0.240720
2021-09-16 01:48:00.355914 : Epoch  4, Batch    926, Loss  0.880042, Average Loss  0.867777, Time  0.266135
2021-09-16 01:48:02.818409 : Epoch  2, Batch     83, Loss  0.853646, Average Loss  0.874380, Time  0.241150
2021-09-16 01:48:03.355591 : Epoch  4, Batch    927, Loss  0.857775, Average Loss  0.867722, Time  0.265124
2021-09-16 01:48:05.404742 : Epoch  2, Batch     84, Loss  0.864326, Average Loss  0.874272, Time  0.240160
2021-09-16 01:48:06.342117 : Epoch  4, Batch    928, Loss  0.863543, Average Loss  0.867594, Time  0.264878
2021-09-16 01:48:07.984489 : Epoch  2, Batch     85, Loss  0.866754, Average Loss  0.874219, Time  0.240998
2021-09-16 01:48:09.329895 : Epoch  4, Batch    929, Loss  0.868421, Average Loss  0.867550, Time  0.264999
2021-09-16 01:48:10.569703 : Epoch  2, Batch     86, Loss  0.885463, Average Loss  0.874329, Time  0.240989
2021-09-16 01:48:12.320998 : Epoch  4, Batch    930, Loss  0.870463, Average Loss  0.867587, Time  0.264576
2021-09-16 01:48:13.163948 : Epoch  2, Batch     87, Loss  0.867311, Average Loss  0.874300, Time  0.241286
2021-09-16 01:48:15.324368 : Epoch  4, Batch    931, Loss  0.882311, Average Loss  0.867680, Time  0.265103
2021-09-16 01:48:15.737940 : Epoch  2, Batch     88, Loss  0.881622, Average Loss  0.874338, Time  0.240025
2021-09-16 01:48:18.309001 : Epoch  2, Batch     89, Loss  0.867487, Average Loss  0.874363, Time  0.240691
2021-09-16 01:48:18.341170 : Epoch  4, Batch    932, Loss  0.868983, Average Loss  0.867718, Time  0.265059
2021-09-16 01:48:20.888923 : Epoch  2, Batch     90, Loss  0.874059, Average Loss  0.874308, Time  0.240675
2021-09-16 01:48:23.497232 : Epoch  2, Batch     91, Loss  0.897732, Average Loss  0.874520, Time  0.240627
2021-09-16 01:48:26.090818 : Epoch  2, Batch     92, Loss  0.884699, Average Loss  0.874519, Time  0.241543
2021-09-16 01:48:28.690598 : Epoch  2, Batch     93, Loss  0.854110, Average Loss  0.874466, Time  0.240860
2021-09-16 01:48:31.278928 : Epoch  2, Batch     94, Loss  0.877420, Average Loss  0.874491, Time  0.241313
2021-09-16 01:48:33.863083 : Epoch  2, Batch     95, Loss  0.876017, Average Loss  0.874517, Time  0.241009
2021-09-16 01:48:36.449115 : Epoch  2, Batch     96, Loss  0.869085, Average Loss  0.874421, Time  0.240478
2021-09-16 01:48:39.035861 : Epoch  2, Batch     97, Loss  0.877283, Average Loss  0.874484, Time  0.240638
2021-09-16 01:48:41.635066 : Epoch  2, Batch     98, Loss  0.898071, Average Loss  0.874670, Time  0.242061
2021-09-16 01:48:44.231901 : Epoch  2, Batch     99, Loss  0.858832, Average Loss  0.874545, Time  0.241245
2021-09-16 01:48:46.826947 : Epoch  2, Batch    100, Loss  0.861659, Average Loss  0.874488, Time  0.240493
2021-09-16 01:48:49.413564 : Epoch  2, Batch    101, Loss  0.893045, Average Loss  0.874508, Time  0.243130
2021-09-16 01:48:51.999416 : Epoch  2, Batch    102, Loss  0.861383, Average Loss  0.874521, Time  0.239937
2021-09-16 01:48:54.581221 : Epoch  2, Batch    103, Loss  0.852598, Average Loss  0.874426, Time  0.240868
2021-09-16 01:48:57.169080 : Epoch  2, Batch    104, Loss  0.863964, Average Loss  0.874316, Time  0.240743
2021-09-16 01:48:59.749923 : Epoch  2, Batch    105, Loss  0.873116, Average Loss  0.874373, Time  0.240375
2021-09-16 01:49:02.327196 : Epoch  2, Batch    106, Loss  0.890155, Average Loss  0.874389, Time  0.240042
2021-09-16 01:49:04.914243 : Epoch  2, Batch    107, Loss  0.862854, Average Loss  0.874487, Time  0.240124
2021-09-16 01:49:07.487215 : Epoch  2, Batch    108, Loss  0.880043, Average Loss  0.874550, Time  0.240016
2021-09-16 01:49:10.077089 : Epoch  2, Batch    109, Loss  0.878117, Average Loss  0.874515, Time  0.239949
2021-09-16 01:49:12.669905 : Epoch  2, Batch    110, Loss  0.844219, Average Loss  0.874329, Time  0.240356
2021-09-16 01:49:15.254825 : Epoch  2, Batch    111, Loss  0.864382, Average Loss  0.874272, Time  0.240455
2021-09-16 01:49:17.840706 : Epoch  2, Batch    112, Loss  0.881368, Average Loss  0.874332, Time  0.240389
2021-09-16 01:49:20.425084 : Epoch  2, Batch    113, Loss  0.871659, Average Loss  0.874229, Time  0.243543
2021-09-16 01:49:23.012861 : Epoch  2, Batch    114, Loss  0.890429, Average Loss  0.874260, Time  0.241032
2021-09-16 01:49:25.601670 : Epoch  2, Batch    115, Loss  0.861992, Average Loss  0.874353, Time  0.240458
2021-09-16 01:49:28.197060 : Epoch  2, Batch    116, Loss  0.864105, Average Loss  0.874233, Time  0.241700
2021-09-16 01:49:30.785852 : Epoch  2, Batch    117, Loss  0.888484, Average Loss  0.874236, Time  0.240223
2021-09-16 01:49:33.380907 : Epoch  2, Batch    118, Loss  0.891220, Average Loss  0.874218, Time  0.241295
2021-09-16 01:49:35.969635 : Epoch  2, Batch    119, Loss  0.895586, Average Loss  0.874275, Time  0.240202
2021-09-16 01:49:38.558220 : Epoch  2, Batch    120, Loss  0.872533, Average Loss  0.874288, Time  0.240303
2021-09-16 01:49:41.150259 : Epoch  2, Batch    121, Loss  0.863478, Average Loss  0.874266, Time  0.243006
2021-09-16 01:49:43.738864 : Epoch  2, Batch    122, Loss  0.882035, Average Loss  0.874325, Time  0.240271
2021-09-16 01:49:46.315911 : Epoch  2, Batch    123, Loss  0.871784, Average Loss  0.874291, Time  0.240240
2021-09-16 01:49:48.894973 : Epoch  2, Batch    124, Loss  0.873651, Average Loss  0.874234, Time  0.240391
2021-09-16 01:49:51.485210 : Epoch  2, Batch    125, Loss  0.874853, Average Loss  0.874181, Time  0.240201
2021-09-16 01:49:54.094140 : Epoch  2, Batch    126, Loss  0.857252, Average Loss  0.874014, Time  0.240350
2021-09-16 01:49:56.693701 : Epoch  2, Batch    127, Loss  0.875289, Average Loss  0.874048, Time  0.240595
2021-09-16 01:49:59.276482 : Epoch  2, Batch    128, Loss  0.865994, Average Loss  0.874208, Time  0.240737
2021-09-16 01:50:01.869837 : Epoch  2, Batch    129, Loss  0.874188, Average Loss  0.874279, Time  0.243472
2021-09-16 01:50:04.461386 : Epoch  2, Batch    130, Loss  0.875798, Average Loss  0.874341, Time  0.240843
2021-09-16 01:50:07.046696 : Epoch  2, Batch    131, Loss  0.870335, Average Loss  0.874341, Time  0.241040
2021-09-16 01:50:09.634226 : Epoch  2, Batch    132, Loss  0.857963, Average Loss  0.874195, Time  0.239937
2021-09-16 01:50:12.227937 : Epoch  2, Batch    133, Loss  0.866036, Average Loss  0.874181, Time  0.240340
2021-09-16 01:50:14.810422 : Epoch  2, Batch    134, Loss  0.869319, Average Loss  0.874092, Time  0.240711
2021-09-16 01:50:17.410235 : Epoch  2, Batch    135, Loss  0.872123, Average Loss  0.874047, Time  0.240841
2021-09-16 01:50:20.004204 : Epoch  2, Batch    136, Loss  0.873749, Average Loss  0.874006, Time  0.240129
2021-09-16 01:50:22.600593 : Epoch  2, Batch    137, Loss  0.867754, Average Loss  0.873963, Time  0.239990
2021-09-16 01:50:25.182966 : Epoch  2, Batch    138, Loss  0.866297, Average Loss  0.873881, Time  0.243117
2021-09-16 01:50:27.765927 : Epoch  2, Batch    139, Loss  0.862762, Average Loss  0.873928, Time  0.241657
2021-09-16 01:50:30.351891 : Epoch  2, Batch    140, Loss  0.890890, Average Loss  0.874011, Time  0.241734
2021-09-16 01:50:32.948292 : Epoch  2, Batch    141, Loss  0.874563, Average Loss  0.874020, Time  0.240739
2021-09-16 01:50:35.529428 : Epoch  2, Batch    142, Loss  0.881283, Average Loss  0.874083, Time  0.243914
2021-09-16 01:50:38.116578 : Epoch  2, Batch    143, Loss  0.884855, Average Loss  0.874167, Time  0.239789
2021-09-16 01:50:49.547181 : Epoch  2, Batch    144, Loss  0.872519, Average Loss  0.874076, Time  0.273601
2021-09-16 01:52:58.432865 : CheckPoint: Validation Loss  0.00030311, Best Loss  0.00029379
2021-09-16 01:53:01.423295 : Epoch  4, Batch    933, Loss  0.855055, Average Loss  0.867599, Time  0.267003
2021-09-16 01:53:04.415848 : Epoch  4, Batch    934, Loss  0.854870, Average Loss  0.867463, Time  0.265556
2021-09-16 01:53:07.440453 : Epoch  4, Batch    935, Loss  0.873572, Average Loss  0.867416, Time  0.277548
2021-09-16 01:53:10.427609 : Epoch  4, Batch    936, Loss  0.871286, Average Loss  0.867415, Time  0.266817
2021-09-16 01:53:13.415903 : Epoch  4, Batch    937, Loss  0.850302, Average Loss  0.867329, Time  0.265448
2021-09-16 01:53:16.412274 : Epoch  4, Batch    938, Loss  0.871639, Average Loss  0.867300, Time  0.266686
2021-09-16 01:53:19.432640 : Epoch  4, Batch    939, Loss  0.881890, Average Loss  0.867202, Time  0.266133
2021-09-16 01:53:22.458260 : Epoch  4, Batch    940, Loss  0.857513, Average Loss  0.867189, Time  0.265685
2021-09-16 01:53:25.449200 : Epoch  4, Batch    941, Loss  0.866129, Average Loss  0.867120, Time  0.266811
2021-09-16 01:53:28.435446 : Epoch  4, Batch    942, Loss  0.846334, Average Loss  0.867012, Time  0.265662
2021-09-16 01:53:31.439648 : Epoch  4, Batch    943, Loss  0.888477, Average Loss  0.867056, Time  0.265264
2021-09-16 01:53:34.438882 : Epoch  4, Batch    944, Loss  0.859494, Average Loss  0.867177, Time  0.266426
2021-09-16 01:53:37.438046 : Epoch  4, Batch    945, Loss  0.888038, Average Loss  0.867263, Time  0.265620
2021-09-16 01:53:40.422988 : Epoch  4, Batch    946, Loss  0.897061, Average Loss  0.867440, Time  0.265546
2021-09-16 01:53:43.422871 : Epoch  4, Batch    947, Loss  0.875677, Average Loss  0.867486, Time  0.267223
2021-09-16 01:53:46.420917 : Epoch  4, Batch    948, Loss  0.862342, Average Loss  0.867461, Time  0.265469
2021-09-16 01:53:49.444425 : Epoch  4, Batch    949, Loss  0.865693, Average Loss  0.867533, Time  0.265577
2021-09-16 01:53:52.490605 : Epoch  4, Batch    950, Loss  0.891036, Average Loss  0.867603, Time  0.275047
2021-09-16 01:53:55.524496 : Epoch  4, Batch    951, Loss  0.879908, Average Loss  0.867610, Time  0.266217
2021-09-16 01:53:58.533245 : Epoch  4, Batch    952, Loss  0.874407, Average Loss  0.867574, Time  0.264873
2021-09-16 01:54:01.533200 : Epoch  4, Batch    953, Loss  0.867070, Average Loss  0.867563, Time  0.265942
2021-09-16 01:54:04.518399 : Epoch  4, Batch    954, Loss  0.869637, Average Loss  0.867617, Time  0.265536
2021-09-16 01:54:07.504423 : Epoch  4, Batch    955, Loss  0.837951, Average Loss  0.867513, Time  0.265145
2021-09-16 01:54:10.497801 : Epoch  4, Batch    956, Loss  0.861434, Average Loss  0.867559, Time  0.266674
2021-09-16 01:54:13.520363 : Epoch  4, Batch    957, Loss  0.863937, Average Loss  0.867611, Time  0.265978
2021-09-16 01:54:16.553867 : Epoch  4, Batch    958, Loss  0.879985, Average Loss  0.867714, Time  0.266991
2021-09-16 01:54:19.517286 : Epoch  4, Batch    959, Loss  0.892628, Average Loss  0.867960, Time  0.266433
2021-09-16 01:54:22.506096 : Epoch  4, Batch    960, Loss  0.883093, Average Loss  0.868101, Time  0.265972
2021-09-16 01:54:25.512722 : Epoch  4, Batch    961, Loss  0.885227, Average Loss  0.868212, Time  0.266753
2021-09-16 01:54:28.507942 : Epoch  4, Batch    962, Loss  0.869058, Average Loss  0.868240, Time  0.265611
2021-09-16 01:54:31.516377 : Epoch  4, Batch    963, Loss  0.893403, Average Loss  0.868255, Time  0.265990
2021-09-16 01:54:34.520286 : Epoch  4, Batch    964, Loss  0.846390, Average Loss  0.868184, Time  0.265628
2021-09-16 01:54:37.531135 : Epoch  4, Batch    965, Loss  0.870144, Average Loss  0.868193, Time  0.277214
2021-09-16 01:54:40.535646 : Epoch  4, Batch    966, Loss  0.894407, Average Loss  0.868267, Time  0.265891
2021-09-16 01:54:43.557491 : Epoch  4, Batch    967, Loss  0.879515, Average Loss  0.868345, Time  0.264903
2021-09-16 01:54:46.544765 : Epoch  4, Batch    968, Loss  0.879465, Average Loss  0.868361, Time  0.266297
2021-09-16 01:54:49.523471 : Epoch  4, Batch    969, Loss  0.889888, Average Loss  0.868402, Time  0.265880
2021-09-16 01:54:49.891248 : CheckPoint: Validation Loss  0.00030830, Best Loss  0.00029477
2021-09-16 01:54:52.506026 : Epoch  2, Batch    145, Loss  0.882234, Average Loss  0.874011, Time  0.275311
2021-09-16 01:54:52.542396 : Epoch  4, Batch    970, Loss  0.863306, Average Loss  0.868381, Time  0.265847
2021-09-16 01:54:55.106465 : Epoch  2, Batch    146, Loss  0.860609, Average Loss  0.873883, Time  0.247475
2021-09-16 01:54:55.565409 : Epoch  4, Batch    971, Loss  0.875936, Average Loss  0.868363, Time  0.266301
2021-09-16 01:54:57.700169 : Epoch  2, Batch    147, Loss  0.864874, Average Loss  0.873804, Time  0.240791
2021-09-16 01:54:58.559961 : Epoch  4, Batch    972, Loss  0.875172, Average Loss  0.868379, Time  0.265259
2021-09-16 01:55:00.293359 : Epoch  2, Batch    148, Loss  0.873427, Average Loss  0.873757, Time  0.241195
2021-09-16 01:55:01.542580 : Epoch  4, Batch    973, Loss  0.881484, Average Loss  0.868437, Time  0.264743
2021-09-16 01:55:02.886227 : Epoch  2, Batch    149, Loss  0.885995, Average Loss  0.873819, Time  0.241425
2021-09-16 01:55:04.540359 : Epoch  4, Batch    974, Loss  0.858958, Average Loss  0.868448, Time  0.265190
2021-09-16 01:55:05.472413 : Epoch  2, Batch    150, Loss  0.854561, Average Loss  0.873701, Time  0.240899
2021-09-16 01:55:07.555022 : Epoch  4, Batch    975, Loss  0.859917, Average Loss  0.868398, Time  0.265708
2021-09-16 01:55:08.067849 : Epoch  2, Batch    151, Loss  0.885952, Average Loss  0.873690, Time  0.240999
2021-09-16 01:55:10.555944 : Epoch  4, Batch    976, Loss  0.858342, Average Loss  0.868409, Time  0.267090
2021-09-16 01:55:10.642388 : Epoch  2, Batch    152, Loss  0.856842, Average Loss  0.873556, Time  0.241605
2021-09-16 01:55:13.236982 : Epoch  2, Batch    153, Loss  0.892268, Average Loss  0.873627, Time  0.250480
2021-09-16 01:55:13.549813 : Epoch  4, Batch    977, Loss  0.886612, Average Loss  0.868451, Time  0.265161
2021-09-16 01:55:15.827387 : Epoch  2, Batch    154, Loss  0.853248, Average Loss  0.873440, Time  0.240636
2021-09-16 01:55:16.536079 : Epoch  4, Batch    978, Loss  0.875484, Average Loss  0.868531, Time  0.265726
2021-09-16 01:55:18.426934 : Epoch  2, Batch    155, Loss  0.886175, Average Loss  0.873467, Time  0.240205
2021-09-16 01:55:19.523693 : Epoch  4, Batch    979, Loss  0.873404, Average Loss  0.868545, Time  0.266747
2021-09-16 01:55:21.033945 : Epoch  2, Batch    156, Loss  0.879783, Average Loss  0.873512, Time  0.241597
2021-09-16 01:55:22.549442 : Epoch  4, Batch    980, Loss  0.869651, Average Loss  0.868547, Time  0.276478
2021-09-16 01:55:23.628104 : Epoch  2, Batch    157, Loss  0.876049, Average Loss  0.873546, Time  0.240487
2021-09-16 01:55:25.540980 : Epoch  4, Batch    981, Loss  0.880482, Average Loss  0.868572, Time  0.267264
2021-09-16 01:55:26.215534 : Epoch  2, Batch    158, Loss  0.873805, Average Loss  0.873557, Time  0.240935
2021-09-16 01:55:28.537497 : Epoch  4, Batch    982, Loss  0.864830, Average Loss  0.868502, Time  0.265308
2021-09-16 01:55:28.799997 : Epoch  2, Batch    159, Loss  0.875499, Average Loss  0.873502, Time  0.240012
2021-09-16 01:55:31.382627 : Epoch  2, Batch    160, Loss  0.857744, Average Loss  0.873392, Time  0.240283
2021-09-16 01:55:31.528305 : Epoch  4, Batch    983, Loss  0.874827, Average Loss  0.868488, Time  0.265388
2021-09-16 01:55:33.965257 : Epoch  2, Batch    161, Loss  0.874795, Average Loss  0.873475, Time  0.240009
2021-09-16 01:55:34.509790 : Epoch  4, Batch    984, Loss  0.870101, Average Loss  0.868518, Time  0.265609
2021-09-16 01:55:36.562032 : Epoch  2, Batch    162, Loss  0.874822, Average Loss  0.873582, Time  0.240688
2021-09-16 01:55:37.501596 : Epoch  4, Batch    985, Loss  0.853740, Average Loss  0.868529, Time  0.265310
2021-09-16 01:55:39.163836 : Epoch  2, Batch    163, Loss  0.863468, Average Loss  0.873483, Time  0.239977
2021-09-16 01:55:40.482395 : Epoch  4, Batch    986, Loss  0.873822, Average Loss  0.868618, Time  0.265994
2021-09-16 01:55:41.744170 : Epoch  2, Batch    164, Loss  0.892893, Average Loss  0.873503, Time  0.240018
2021-09-16 01:55:43.473305 : Epoch  4, Batch    987, Loss  0.866336, Average Loss  0.868623, Time  0.264938
2021-09-16 01:55:44.315567 : Epoch  2, Batch    165, Loss  0.872122, Average Loss  0.873454, Time  0.240427
2021-09-16 01:55:46.462006 : Epoch  4, Batch    988, Loss  0.882751, Average Loss  0.868741, Time  0.265102
2021-09-16 01:55:46.895307 : Epoch  2, Batch    166, Loss  0.870407, Average Loss  0.873439, Time  0.240834
2021-09-16 01:55:49.462958 : Epoch  2, Batch    167, Loss  0.869776, Average Loss  0.873400, Time  0.240680
2021-09-16 01:55:49.480018 : Epoch  4, Batch    989, Loss  0.878757, Average Loss  0.868824, Time  0.265348
2021-09-16 01:55:52.038427 : Epoch  2, Batch    168, Loss  0.881379, Average Loss  0.873505, Time  0.240988
2021-09-16 01:55:52.467608 : Epoch  4, Batch    990, Loss  0.885940, Average Loss  0.868866, Time  0.265686
2021-09-16 01:55:54.616869 : Epoch  2, Batch    169, Loss  0.894966, Average Loss  0.873514, Time  0.240020
2021-09-16 01:55:55.458163 : Epoch  4, Batch    991, Loss  0.880650, Average Loss  0.868987, Time  0.265587
2021-09-16 01:55:57.198932 : Epoch  2, Batch    170, Loss  0.862763, Average Loss  0.873460, Time  0.240599
2021-09-16 01:55:58.439641 : Epoch  4, Batch    992, Loss  0.863623, Average Loss  0.868934, Time  0.265549
2021-09-16 01:55:59.771250 : Epoch  2, Batch    171, Loss  0.859391, Average Loss  0.873365, Time  0.240041
2021-09-16 01:56:01.425153 : Epoch  4, Batch    993, Loss  0.864045, Average Loss  0.869001, Time  0.265179
2021-09-16 01:56:02.364460 : Epoch  2, Batch    172, Loss  0.871330, Average Loss  0.873332, Time  0.241034
2021-09-16 01:56:04.424983 : Epoch  4, Batch    994, Loss  0.839487, Average Loss  0.868927, Time  0.265524
2021-09-16 01:56:04.951356 : Epoch  2, Batch    173, Loss  0.860501, Average Loss  0.873358, Time  0.241258
2021-09-16 01:56:07.439917 : Epoch  4, Batch    995, Loss  0.858659, Average Loss  0.868922, Time  0.277575
2021-09-16 01:56:07.542184 : Epoch  2, Batch    174, Loss  0.880561, Average Loss  0.873531, Time  0.240320
2021-09-16 01:56:10.119454 : Epoch  2, Batch    175, Loss  0.890499, Average Loss  0.873562, Time  0.241589
2021-09-16 01:56:10.439827 : Epoch  4, Batch    996, Loss  0.886914, Average Loss  0.868889, Time  0.266409
2021-09-16 01:56:12.708743 : Epoch  2, Batch    176, Loss  0.882853, Average Loss  0.873694, Time  0.240914
2021-09-16 01:56:13.441131 : Epoch  4, Batch    997, Loss  0.867249, Average Loss  0.868828, Time  0.267057
2021-09-16 01:56:15.282970 : Epoch  2, Batch    177, Loss  0.891141, Average Loss  0.873708, Time  0.240998
2021-09-16 01:56:16.427597 : Epoch  4, Batch    998, Loss  0.864306, Average Loss  0.868887, Time  0.266769
2021-09-16 01:56:17.874105 : Epoch  2, Batch    178, Loss  0.880686, Average Loss  0.873637, Time  0.243784
2021-09-16 01:56:19.429688 : Epoch  4, Batch    999, Loss  0.866663, Average Loss  0.868919, Time  0.267431
2021-09-16 01:56:20.473748 : Epoch  2, Batch    179, Loss  0.875662, Average Loss  0.873661, Time  0.240380
2021-09-16 01:56:22.416301 : Epoch  4, Batch   1000, Loss  0.877649, Average Loss  0.869092, Time  0.266399
2021-09-16 01:56:23.072152 : Epoch  2, Batch    180, Loss  0.878322, Average Loss  0.873622, Time  0.241697
2021-09-16 01:56:25.428809 : Epoch  4, Batch   1001, Loss  0.852823, Average Loss  0.869009, Time  0.266109
2021-09-16 01:56:25.658218 : Epoch  2, Batch    181, Loss  0.861161, Average Loss  0.873503, Time  0.240682
2021-09-16 01:56:28.221795 : Epoch  2, Batch    182, Loss  0.861072, Average Loss  0.873409, Time  0.240676
2021-09-16 01:56:28.437876 : Epoch  4, Batch   1002, Loss  0.869619, Average Loss  0.868972, Time  0.267308
2021-09-16 01:56:30.820091 : Epoch  2, Batch    183, Loss  0.871510, Average Loss  0.873448, Time  0.241827
2021-09-16 01:56:31.409110 : Epoch  4, Batch   1003, Loss  0.884212, Average Loss  0.868961, Time  0.266889
2021-09-16 01:56:33.399229 : Epoch  2, Batch    184, Loss  0.885390, Average Loss  0.873458, Time  0.240200
2021-09-16 01:56:34.397611 : Epoch  4, Batch   1004, Loss  0.887395, Average Loss  0.868981, Time  0.265509
2021-09-16 01:56:35.977067 : Epoch  2, Batch    185, Loss  0.880139, Average Loss  0.873398, Time  0.240822
2021-09-16 01:56:37.390992 : Epoch  4, Batch   1005, Loss  0.857128, Average Loss  0.868906, Time  0.267026
2021-09-16 01:56:38.560204 : Epoch  2, Batch    186, Loss  0.871680, Average Loss  0.873390, Time  0.240192
2021-09-16 01:56:40.376041 : Epoch  4, Batch   1006, Loss  0.859954, Average Loss  0.868807, Time  0.265119
2021-09-16 01:56:41.144761 : Epoch  2, Batch    187, Loss  0.879288, Average Loss  0.873442, Time  0.241457
2021-09-16 01:56:43.357096 : Epoch  4, Batch   1007, Loss  0.873071, Average Loss  0.868838, Time  0.265352
2021-09-16 01:56:43.720901 : Epoch  2, Batch    188, Loss  0.862086, Average Loss  0.873306, Time  0.240563
2021-09-16 01:56:46.291012 : Epoch  2, Batch    189, Loss  0.870745, Average Loss  0.873253, Time  0.240168
2021-09-16 01:56:46.327449 : Epoch  4, Batch   1008, Loss  0.866020, Average Loss  0.868774, Time  0.265157
2021-09-16 01:56:48.866929 : Epoch  2, Batch    190, Loss  0.845044, Average Loss  0.873084, Time  0.239903
2021-09-16 01:56:49.305030 : Epoch  4, Batch   1009, Loss  0.887626, Average Loss  0.868947, Time  0.265516
2021-09-16 01:56:51.450869 : Epoch  2, Batch    191, Loss  0.886105, Average Loss  0.873046, Time  0.240350
2021-09-16 01:56:52.322472 : Epoch  4, Batch   1010, Loss  0.871581, Average Loss  0.868850, Time  0.272528
2021-09-16 01:56:54.026405 : Epoch  2, Batch    192, Loss  0.891090, Average Loss  0.873185, Time  0.240406
2021-09-16 01:56:55.304471 : Epoch  4, Batch   1011, Loss  0.876157, Average Loss  0.868921, Time  0.264906
2021-09-16 01:56:56.616940 : Epoch  2, Batch    193, Loss  0.871171, Average Loss  0.873173, Time  0.240004
2021-09-16 01:56:58.289290 : Epoch  4, Batch   1012, Loss  0.881304, Average Loss  0.868907, Time  0.265165
2021-09-16 01:56:59.192253 : Epoch  2, Batch    194, Loss  0.896592, Average Loss  0.873278, Time  0.240422
2021-09-16 01:57:01.265284 : Epoch  4, Batch   1013, Loss  0.866709, Average Loss  0.868905, Time  0.266424
2021-09-16 01:57:01.767655 : Epoch  2, Batch    195, Loss  0.870237, Average Loss  0.873325, Time  0.241014
2021-09-16 01:57:04.245052 : Epoch  4, Batch   1014, Loss  0.855137, Average Loss  0.868763, Time  0.266046
2021-09-16 01:57:04.349922 : Epoch  2, Batch    196, Loss  0.886259, Average Loss  0.873335, Time  0.241229
2021-09-16 01:57:06.917751 : Epoch  2, Batch    197, Loss  0.841970, Average Loss  0.873228, Time  0.240373
2021-09-16 01:57:07.237811 : Epoch  4, Batch   1015, Loss  0.878281, Average Loss  0.868743, Time  0.264789
2021-09-16 01:57:09.507341 : Epoch  2, Batch    198, Loss  0.876408, Average Loss  0.873284, Time  0.241936
2021-09-16 01:57:10.215061 : Epoch  4, Batch   1016, Loss  0.874252, Average Loss  0.868860, Time  0.266780
2021-09-16 01:57:12.098959 : Epoch  2, Batch    199, Loss  0.877260, Average Loss  0.873232, Time  0.241169
2021-09-16 01:57:13.242029 : Epoch  4, Batch   1017, Loss  0.851621, Average Loss  0.868879, Time  0.266235
2021-09-16 01:57:14.687039 : Epoch  2, Batch    200, Loss  0.878842, Average Loss  0.873236, Time  0.241186
2021-09-16 01:57:16.229932 : Epoch  4, Batch   1018, Loss  0.870525, Average Loss  0.868836, Time  0.265809
2021-09-16 01:57:17.276998 : Epoch  2, Batch    201, Loss  0.868891, Average Loss  0.873300, Time  0.240684
2021-09-16 01:57:19.237775 : Epoch  4, Batch   1019, Loss  0.879921, Average Loss  0.868855, Time  0.266495
2021-09-16 01:57:19.858829 : Epoch  2, Batch    202, Loss  0.877159, Average Loss  0.873296, Time  0.240684
2021-09-16 01:57:22.229344 : Epoch  4, Batch   1020, Loss  0.881834, Average Loss  0.868910, Time  0.265624
2021-09-16 01:57:22.432699 : Epoch  2, Batch    203, Loss  0.881177, Average Loss  0.873238, Time  0.240401
2021-09-16 01:57:25.012188 : Epoch  2, Batch    204, Loss  0.886967, Average Loss  0.873405, Time  0.240573
2021-09-16 01:57:25.226463 : Epoch  4, Batch   1021, Loss  0.865215, Average Loss  0.868826, Time  0.266461
2021-09-16 01:57:27.599297 : Epoch  2, Batch    205, Loss  0.875765, Average Loss  0.873407, Time  0.240733
2021-09-16 01:57:28.231049 : Epoch  4, Batch   1022, Loss  0.879629, Average Loss  0.868929, Time  0.265213
2021-09-16 01:57:30.189196 : Epoch  2, Batch    206, Loss  0.853356, Average Loss  0.873323, Time  0.239839
2021-09-16 01:57:31.209484 : Epoch  4, Batch   1023, Loss  0.871837, Average Loss  0.869076, Time  0.265185
2021-09-16 01:57:32.768860 : Epoch  2, Batch    207, Loss  0.885579, Average Loss  0.873265, Time  0.240134
2021-09-16 01:57:34.207721 : Epoch  4, Batch   1024, Loss  0.882237, Average Loss  0.869117, Time  0.266501
2021-09-16 01:57:35.346406 : Epoch  2, Batch    208, Loss  0.885772, Average Loss  0.873265, Time  0.239815
2021-09-16 01:57:37.240718 : Epoch  4, Batch   1025, Loss  0.865394, Average Loss  0.869171, Time  0.275562
2021-09-16 01:57:37.929910 : Epoch  2, Batch    209, Loss  0.880264, Average Loss  0.873293, Time  0.239938
2021-09-16 01:57:40.210312 : Epoch  4, Batch   1026, Loss  0.855561, Average Loss  0.869183, Time  0.265207
2021-09-16 01:57:40.521891 : Epoch  2, Batch    210, Loss  0.882357, Average Loss  0.873320, Time  0.241776
2021-09-16 01:57:43.087101 : Epoch  2, Batch    211, Loss  0.871024, Average Loss  0.873241, Time  0.241088
2021-09-16 01:57:43.214111 : Epoch  4, Batch   1027, Loss  0.860976, Average Loss  0.869150, Time  0.265829
2021-09-16 01:57:45.672954 : Epoch  2, Batch    212, Loss  0.867804, Average Loss  0.873204, Time  0.240094
2021-09-16 01:57:46.208470 : Epoch  4, Batch   1028, Loss  0.881518, Average Loss  0.869288, Time  0.266466
2021-09-16 01:57:48.278921 : Epoch  2, Batch    213, Loss  0.850962, Average Loss  0.873194, Time  0.239955
2021-09-16 01:57:49.223914 : Epoch  4, Batch   1029, Loss  0.869437, Average Loss  0.869217, Time  0.266723
2021-09-16 01:57:50.864700 : Epoch  2, Batch    214, Loss  0.864761, Average Loss  0.873226, Time  0.240222
2021-09-16 01:57:52.238547 : Epoch  4, Batch   1030, Loss  0.853295, Average Loss  0.869181, Time  0.266885
2021-09-16 01:57:53.450837 : Epoch  2, Batch    215, Loss  0.883084, Average Loss  0.873177, Time  0.240840
2021-09-16 01:57:55.251750 : Epoch  4, Batch   1031, Loss  0.874895, Average Loss  0.869244, Time  0.265546
2021-09-16 01:57:56.042249 : Epoch  2, Batch    216, Loss  0.866635, Average Loss  0.873177, Time  0.240230
2021-09-16 01:57:58.240927 : Epoch  4, Batch   1032, Loss  0.861014, Average Loss  0.869258, Time  0.265930
2021-09-16 01:57:58.617153 : Epoch  2, Batch    217, Loss  0.848443, Average Loss  0.873146, Time  0.240307
2021-09-16 01:58:01.200436 : Epoch  2, Batch    218, Loss  0.870512, Average Loss  0.873012, Time  0.240706
2021-09-16 01:58:03.789685 : Epoch  2, Batch    219, Loss  0.883952, Average Loss  0.873030, Time  0.240090
2021-09-16 01:58:06.375815 : Epoch  2, Batch    220, Loss  0.872281, Average Loss  0.873134, Time  0.241144
2021-09-16 01:58:08.964433 : Epoch  2, Batch    221, Loss  0.853771, Average Loss  0.873068, Time  0.241348
2021-09-16 01:58:11.563456 : Epoch  2, Batch    222, Loss  0.908627, Average Loss  0.873295, Time  0.241502
2021-09-16 01:58:14.153283 : Epoch  2, Batch    223, Loss  0.909495, Average Loss  0.873402, Time  0.240565
2021-09-16 01:58:16.756897 : Epoch  2, Batch    224, Loss  0.884927, Average Loss  0.873416, Time  0.241527
2021-09-16 01:58:19.343026 : Epoch  2, Batch    225, Loss  0.865342, Average Loss  0.873426, Time  0.241671
2021-09-16 01:58:21.933227 : Epoch  2, Batch    226, Loss  0.867208, Average Loss  0.873339, Time  0.240234
2021-09-16 01:58:24.547205 : Epoch  2, Batch    227, Loss  0.895853, Average Loss  0.873596, Time  0.240630
2021-09-16 01:58:27.135036 : Epoch  2, Batch    228, Loss  0.862676, Average Loss  0.873571, Time  0.241608
2021-09-16 01:58:29.725946 : Epoch  2, Batch    229, Loss  0.862617, Average Loss  0.873503, Time  0.241897
2021-09-16 01:58:32.318960 : Epoch  2, Batch    230, Loss  0.873836, Average Loss  0.873557, Time  0.240139
2021-09-16 01:58:34.901885 : Epoch  2, Batch    231, Loss  0.870668, Average Loss  0.873513, Time  0.241101
2021-09-16 01:58:37.492887 : Epoch  2, Batch    232, Loss  0.879599, Average Loss  0.873544, Time  0.241603
2021-09-16 01:58:40.090081 : Epoch  2, Batch    233, Loss  0.868833, Average Loss  0.873551, Time  0.240022
2021-09-16 01:58:42.684054 : Epoch  2, Batch    234, Loss  0.883863, Average Loss  0.873651, Time  0.239849
2021-09-16 01:58:45.274775 : Epoch  2, Batch    235, Loss  0.860413, Average Loss  0.873718, Time  0.240046
2021-09-16 01:58:47.875247 : Epoch  2, Batch    236, Loss  0.884067, Average Loss  0.873762, Time  0.240755
2021-09-16 01:58:50.467714 : Epoch  2, Batch    237, Loss  0.865023, Average Loss  0.873785, Time  0.239916
2021-09-16 01:58:53.058228 : Epoch  2, Batch    238, Loss  0.874817, Average Loss  0.873792, Time  0.240489
2021-09-16 01:58:55.643260 : Epoch  2, Batch    239, Loss  0.893368, Average Loss  0.873933, Time  0.240226
2021-09-16 01:58:58.225665 : Epoch  2, Batch    240, Loss  0.899172, Average Loss  0.874022, Time  0.241067
2021-09-16 01:59:00.813966 : Epoch  2, Batch    241, Loss  0.876230, Average Loss  0.873989, Time  0.242317
2021-09-16 01:59:03.394253 : Epoch  2, Batch    242, Loss  0.900086, Average Loss  0.874108, Time  0.240591
2021-09-16 01:59:05.980684 : Epoch  2, Batch    243, Loss  0.857471, Average Loss  0.874074, Time  0.240273
2021-09-16 01:59:08.568717 : Epoch  2, Batch    244, Loss  0.877726, Average Loss  0.873952, Time  0.240464
2021-09-16 02:02:37.037277 : CheckPoint: Validation Loss  0.00030639, Best Loss  0.00029379
2021-09-16 02:02:40.023703 : Epoch  4, Batch   1033, Loss  0.885658, Average Loss  0.869386, Time  0.267395
2021-09-16 02:02:43.008291 : Epoch  4, Batch   1034, Loss  0.871954, Average Loss  0.869260, Time  0.265558
2021-09-16 02:02:45.990233 : Epoch  4, Batch   1035, Loss  0.859096, Average Loss  0.869268, Time  0.267249
2021-09-16 02:02:48.997875 : Epoch  4, Batch   1036, Loss  0.853950, Average Loss  0.869185, Time  0.265375
2021-09-16 02:02:51.976516 : Epoch  4, Batch   1037, Loss  0.877064, Average Loss  0.869178, Time  0.266935
2021-09-16 02:02:54.918630 : Epoch  4, Batch   1038, Loss  0.859281, Average Loss  0.869082, Time  0.266205
2021-09-16 02:02:57.945739 : Epoch  4, Batch   1039, Loss  0.860054, Average Loss  0.869016, Time  0.266501
2021-09-16 02:03:00.963673 : Epoch  4, Batch   1040, Loss  0.910343, Average Loss  0.869199, Time  0.274437
2021-09-16 02:03:03.944876 : Epoch  4, Batch   1041, Loss  0.854363, Average Loss  0.869127, Time  0.264040
2021-09-16 02:03:06.903281 : Epoch  4, Batch   1042, Loss  0.889549, Average Loss  0.869276, Time  0.266017
2021-09-16 02:03:09.902026 : Epoch  4, Batch   1043, Loss  0.862505, Average Loss  0.869271, Time  0.264766
2021-09-16 02:03:11.576751 : CheckPoint: Validation Loss  0.00029558, Best Loss  0.00029477
2021-09-16 02:03:12.883343 : Epoch  4, Batch   1044, Loss  0.871957, Average Loss  0.869252, Time  0.265310
2021-09-16 02:03:14.158261 : Epoch  2, Batch    245, Loss  0.863377, Average Loss  0.873924, Time  0.241040
2021-09-16 02:03:15.861695 : Epoch  4, Batch   1045, Loss  0.859923, Average Loss  0.869266, Time  0.265376
2021-09-16 02:03:16.732989 : Epoch  2, Batch    246, Loss  0.881100, Average Loss  0.873966, Time  0.240122
2021-09-16 02:03:18.840635 : Epoch  4, Batch   1046, Loss  0.849027, Average Loss  0.869174, Time  0.266286
2021-09-16 02:03:19.317587 : Epoch  2, Batch    247, Loss  0.867248, Average Loss  0.873896, Time  0.239738
2021-09-16 02:03:21.833164 : Epoch  4, Batch   1047, Loss  0.886286, Average Loss  0.869352, Time  0.265782
2021-09-16 02:03:21.896423 : Epoch  2, Batch    248, Loss  0.895876, Average Loss  0.874024, Time  0.240001
2021-09-16 02:03:24.477691 : Epoch  2, Batch    249, Loss  0.876104, Average Loss  0.874012, Time  0.240647
2021-09-16 02:03:24.841311 : Epoch  4, Batch   1048, Loss  0.861546, Average Loss  0.869412, Time  0.266352
2021-09-16 02:03:27.062915 : Epoch  2, Batch    250, Loss  0.880286, Average Loss  0.874115, Time  0.240453
2021-09-16 02:03:27.859475 : Epoch  4, Batch   1049, Loss  0.881157, Average Loss  0.869491, Time  0.266131
2021-09-16 02:03:29.651116 : Epoch  2, Batch    251, Loss  0.865891, Average Loss  0.874134, Time  0.239986
2021-09-16 02:03:30.834522 : Epoch  4, Batch   1050, Loss  0.886751, Average Loss  0.869572, Time  0.265229
2021-09-16 02:03:32.235440 : Epoch  2, Batch    252, Loss  0.877627, Average Loss  0.874134, Time  0.240697
2021-09-16 02:03:33.816742 : Epoch  4, Batch   1051, Loss  0.870148, Average Loss  0.869637, Time  0.264741
2021-09-16 02:03:34.818249 : Epoch  2, Batch    253, Loss  0.888148, Average Loss  0.874120, Time  0.240112
2021-09-16 02:03:36.812528 : Epoch  4, Batch   1052, Loss  0.871092, Average Loss  0.869522, Time  0.265251
2021-09-16 02:03:37.393312 : Epoch  2, Batch    254, Loss  0.885536, Average Loss  0.874276, Time  0.240278
2021-09-16 02:03:39.785152 : Epoch  4, Batch   1053, Loss  0.844831, Average Loss  0.869376, Time  0.266400
2021-09-16 02:03:40.009429 : Epoch  2, Batch    255, Loss  0.872815, Average Loss  0.874286, Time  0.242240
2021-09-16 02:03:42.584702 : Epoch  2, Batch    256, Loss  0.853443, Average Loss  0.874260, Time  0.243997
2021-09-16 02:03:42.790051 : Epoch  4, Batch   1054, Loss  0.872569, Average Loss  0.869387, Time  0.265218
2021-09-16 02:03:45.166306 : Epoch  2, Batch    257, Loss  0.878748, Average Loss  0.874230, Time  0.241190
2021-09-16 02:03:45.773669 : Epoch  4, Batch   1055, Loss  0.861516, Average Loss  0.869354, Time  0.267173
2021-09-16 02:03:47.740241 : Epoch  2, Batch    258, Loss  0.868906, Average Loss  0.874183, Time  0.240164
2021-09-16 02:03:48.783377 : Epoch  4, Batch   1056, Loss  0.867934, Average Loss  0.869259, Time  0.271652
2021-09-16 02:03:50.317135 : Epoch  2, Batch    259, Loss  0.871582, Average Loss  0.874275, Time  0.240015
2021-09-16 02:03:51.762575 : Epoch  4, Batch   1057, Loss  0.880858, Average Loss  0.869411, Time  0.265381
2021-09-16 02:03:52.903725 : Epoch  2, Batch    260, Loss  0.876372, Average Loss  0.874267, Time  0.240578
2021-09-16 02:03:54.727877 : Epoch  4, Batch   1058, Loss  0.883085, Average Loss  0.869505, Time  0.266187
2021-09-16 02:03:55.490006 : Epoch  2, Batch    261, Loss  0.874878, Average Loss  0.874347, Time  0.241598
2021-09-16 02:03:57.713952 : Epoch  4, Batch   1059, Loss  0.874304, Average Loss  0.869472, Time  0.265696
2021-09-16 02:03:58.071411 : Epoch  2, Batch    262, Loss  0.910014, Average Loss  0.874605, Time  0.242595
2021-09-16 02:04:00.655628 : Epoch  2, Batch    263, Loss  0.849301, Average Loss  0.874576, Time  0.242004
2021-09-16 02:04:00.691874 : Epoch  4, Batch   1060, Loss  0.872123, Average Loss  0.869614, Time  0.266023
2021-09-16 02:04:03.251414 : Epoch  2, Batch    264, Loss  0.879095, Average Loss  0.874585, Time  0.240055
2021-09-16 02:04:03.707342 : Epoch  4, Batch   1061, Loss  0.851893, Average Loss  0.869481, Time  0.265769
2021-09-16 02:04:05.831395 : Epoch  2, Batch    265, Loss  0.882824, Average Loss  0.874635, Time  0.240061
2021-09-16 02:04:06.696991 : Epoch  4, Batch   1062, Loss  0.861861, Average Loss  0.869550, Time  0.266859
2021-09-16 02:04:08.413406 : Epoch  2, Batch    266, Loss  0.866187, Average Loss  0.874584, Time  0.240700
2021-09-16 02:04:09.693530 : Epoch  4, Batch   1063, Loss  0.888716, Average Loss  0.869664, Time  0.266117
2021-09-16 02:04:10.988251 : Epoch  2, Batch    267, Loss  0.852340, Average Loss  0.874527, Time  0.239842
2021-09-16 02:04:12.681475 : Epoch  4, Batch   1064, Loss  0.858013, Average Loss  0.869634, Time  0.265553
2021-09-16 02:04:13.584741 : Epoch  2, Batch    268, Loss  0.854747, Average Loss  0.874428, Time  0.240210
2021-09-16 02:04:15.677869 : Epoch  4, Batch   1065, Loss  0.872775, Average Loss  0.869532, Time  0.265262
2021-09-16 02:04:16.156543 : Epoch  2, Batch    269, Loss  0.863843, Average Loss  0.874403, Time  0.239950
2021-09-16 02:04:18.652641 : Epoch  4, Batch   1066, Loss  0.865113, Average Loss  0.869470, Time  0.265944
2021-09-16 02:04:18.740429 : Epoch  2, Batch    270, Loss  0.880749, Average Loss  0.874398, Time  0.240090
2021-09-16 02:04:21.326978 : Epoch  2, Batch    271, Loss  0.880721, Average Loss  0.874466, Time  0.240103
2021-09-16 02:04:21.633312 : Epoch  4, Batch   1067, Loss  0.856285, Average Loss  0.869410, Time  0.265230
2021-09-16 02:04:23.910393 : Epoch  2, Batch    272, Loss  0.854517, Average Loss  0.874334, Time  0.240062
2021-09-16 02:04:24.615452 : Epoch  4, Batch   1068, Loss  0.849750, Average Loss  0.869388, Time  0.264797
2021-09-16 02:04:26.501065 : Epoch  2, Batch    273, Loss  0.871002, Average Loss  0.874292, Time  0.240022
2021-09-16 02:04:27.616495 : Epoch  4, Batch   1069, Loss  0.872019, Average Loss  0.869515, Time  0.264908
2021-09-16 02:04:29.094430 : Epoch  2, Batch    274, Loss  0.855310, Average Loss  0.874096, Time  0.240960
2021-09-16 02:04:30.606808 : Epoch  4, Batch   1070, Loss  0.859861, Average Loss  0.869507, Time  0.266969
2021-09-16 02:04:31.670579 : Epoch  2, Batch    275, Loss  0.862120, Average Loss  0.874000, Time  0.240077
2021-09-16 02:04:33.613993 : Epoch  4, Batch   1071, Loss  0.880641, Average Loss  0.869563, Time  0.278625
2021-09-16 02:04:34.247339 : Epoch  2, Batch    276, Loss  0.887209, Average Loss  0.874033, Time  0.240224
2021-09-16 02:04:36.634689 : Epoch  4, Batch   1072, Loss  0.870513, Average Loss  0.869548, Time  0.266597
2021-09-16 02:04:36.826650 : Epoch  2, Batch    277, Loss  0.857948, Average Loss  0.873864, Time  0.240299
2021-09-16 02:04:39.396534 : Epoch  2, Batch    278, Loss  0.869387, Average Loss  0.873751, Time  0.240541
2021-09-16 02:04:39.656440 : Epoch  4, Batch   1073, Loss  0.872619, Average Loss  0.869609, Time  0.266280
2021-09-16 02:04:41.988420 : Epoch  2, Batch    279, Loss  0.870424, Average Loss  0.873681, Time  0.239965
2021-09-16 02:04:42.637189 : Epoch  4, Batch   1074, Loss  0.880397, Average Loss  0.869707, Time  0.265218
2021-09-16 02:04:44.571817 : Epoch  2, Batch    280, Loss  0.893175, Average Loss  0.873885, Time  0.242373
2021-09-16 02:04:45.617299 : Epoch  4, Batch   1075, Loss  0.859407, Average Loss  0.869655, Time  0.266049
2021-09-16 02:04:47.148503 : Epoch  2, Batch    281, Loss  0.860156, Average Loss  0.873777, Time  0.240965
2021-09-16 02:04:48.616370 : Epoch  4, Batch   1076, Loss  0.879288, Average Loss  0.869758, Time  0.266387
2021-09-16 02:04:49.729413 : Epoch  2, Batch    282, Loss  0.876104, Average Loss  0.873803, Time  0.239968
2021-09-16 02:04:51.628329 : Epoch  4, Batch   1077, Loss  0.873833, Average Loss  0.869751, Time  0.266963
2021-09-16 02:04:52.313679 : Epoch  2, Batch    283, Loss  0.883515, Average Loss  0.873952, Time  0.241177
2021-09-16 02:04:54.651687 : Epoch  4, Batch   1078, Loss  0.882175, Average Loss  0.869607, Time  0.266439
2021-09-16 02:04:54.908988 : Epoch  2, Batch    284, Loss  0.878643, Average Loss  0.874024, Time  0.241726
2021-09-16 02:04:57.480077 : Epoch  2, Batch    285, Loss  0.887370, Average Loss  0.874127, Time  0.240203
2021-09-16 02:04:57.645811 : Epoch  4, Batch   1079, Loss  0.875006, Average Loss  0.869667, Time  0.265161
2021-09-16 02:05:00.058925 : Epoch  2, Batch    286, Loss  0.858385, Average Loss  0.873992, Time  0.240789
2021-09-16 02:05:00.646142 : Epoch  4, Batch   1080, Loss  0.870912, Average Loss  0.869826, Time  0.263144
2021-09-16 02:05:02.653448 : Epoch  2, Batch    287, Loss  0.884303, Average Loss  0.874077, Time  0.242811
2021-09-16 02:05:03.636307 : Epoch  4, Batch   1081, Loss  0.881706, Average Loss  0.869979, Time  0.265725
2021-09-16 02:05:05.260905 : Epoch  2, Batch    288, Loss  0.859517, Average Loss  0.873966, Time  0.240583
2021-09-16 02:05:06.630654 : Epoch  4, Batch   1082, Loss  0.888918, Average Loss  0.869969, Time  0.266340
2021-09-16 02:05:07.847191 : Epoch  2, Batch    289, Loss  0.855976, Average Loss  0.873908, Time  0.241808
2021-09-16 02:05:09.613057 : Epoch  4, Batch   1083, Loss  0.847679, Average Loss  0.869790, Time  0.265349
2021-09-16 02:05:10.434194 : Epoch  2, Batch    290, Loss  0.859880, Average Loss  0.873838, Time  0.242139
2021-09-16 02:05:12.607611 : Epoch  4, Batch   1084, Loss  0.870255, Average Loss  0.869816, Time  0.266052
2021-09-16 02:05:13.014967 : Epoch  2, Batch    291, Loss  0.879013, Average Loss  0.873744, Time  0.241056
2021-09-16 02:05:15.583213 : Epoch  4, Batch   1085, Loss  0.865355, Average Loss  0.869736, Time  0.265347
2021-09-16 02:05:15.590828 : Epoch  2, Batch    292, Loss  0.874758, Average Loss  0.873694, Time  0.240672
2021-09-16 02:05:18.190866 : Epoch  2, Batch    293, Loss  0.859862, Average Loss  0.873723, Time  0.240054
2021-09-16 02:05:18.571383 : Epoch  4, Batch   1086, Loss  0.888434, Average Loss  0.869916, Time  0.279242
2021-09-16 02:05:20.774831 : Epoch  2, Batch    294, Loss  0.870301, Average Loss  0.873687, Time  0.241413
2021-09-16 02:05:21.533225 : Epoch  4, Batch   1087, Loss  0.878879, Average Loss  0.869895, Time  0.265914
2021-09-16 02:05:23.356426 : Epoch  2, Batch    295, Loss  0.869202, Average Loss  0.873653, Time  0.240994
2021-09-16 02:05:24.511722 : Epoch  4, Batch   1088, Loss  0.859343, Average Loss  0.869849, Time  0.265952
2021-09-16 02:05:25.935638 : Epoch  2, Batch    296, Loss  0.878710, Average Loss  0.873701, Time  0.240899
2021-09-16 02:05:27.491742 : Epoch  4, Batch   1089, Loss  0.871082, Average Loss  0.869898, Time  0.265366
2021-09-16 02:05:28.523940 : Epoch  2, Batch    297, Loss  0.871258, Average Loss  0.873671, Time  0.242024
2021-09-16 02:05:30.483171 : Epoch  4, Batch   1090, Loss  0.868934, Average Loss  0.870028, Time  0.266536
2021-09-16 02:05:31.110690 : Epoch  2, Batch    298, Loss  0.862050, Average Loss  0.873491, Time  0.240316
2021-09-16 02:05:33.471516 : Epoch  4, Batch   1091, Loss  0.869798, Average Loss  0.870109, Time  0.265572
2021-09-16 02:05:33.694683 : Epoch  2, Batch    299, Loss  0.879792, Average Loss  0.873596, Time  0.239752
2021-09-16 02:05:36.267716 : Epoch  2, Batch    300, Loss  0.874092, Average Loss  0.873658, Time  0.240254
2021-09-16 02:05:36.460532 : Epoch  4, Batch   1092, Loss  0.871566, Average Loss  0.870168, Time  0.265641
2021-09-16 02:05:38.848435 : Epoch  2, Batch    301, Loss  0.870426, Average Loss  0.873545, Time  0.239975
2021-09-16 02:05:39.427474 : Epoch  4, Batch   1093, Loss  0.877469, Average Loss  0.870174, Time  0.265404
2021-09-16 02:05:41.461003 : Epoch  2, Batch    302, Loss  0.877768, Average Loss  0.873627, Time  0.240704
2021-09-16 02:05:42.414177 : Epoch  4, Batch   1094, Loss  0.845542, Average Loss  0.870064, Time  0.265556
2021-09-16 02:05:44.044427 : Epoch  2, Batch    303, Loss  0.847888, Average Loss  0.873603, Time  0.240097
2021-09-16 02:05:45.416825 : Epoch  4, Batch   1095, Loss  0.860496, Average Loss  0.870070, Time  0.265926
2021-09-16 02:05:46.628132 : Epoch  2, Batch    304, Loss  0.866388, Average Loss  0.873616, Time  0.240993
2021-09-16 02:05:48.419915 : Epoch  4, Batch   1096, Loss  0.862512, Average Loss  0.870075, Time  0.266953
2021-09-16 02:05:49.202145 : Epoch  2, Batch    305, Loss  0.880785, Average Loss  0.873654, Time  0.240168
2021-09-16 02:05:51.410438 : Epoch  4, Batch   1097, Loss  0.866977, Average Loss  0.870003, Time  0.265794
2021-09-16 02:05:51.794931 : Epoch  2, Batch    306, Loss  0.872402, Average Loss  0.873565, Time  0.241626
2021-09-16 02:05:54.374099 : Epoch  2, Batch    307, Loss  0.867368, Average Loss  0.873588, Time  0.241219
2021-09-16 02:05:54.410731 : Epoch  4, Batch   1098, Loss  0.875673, Average Loss  0.869973, Time  0.266453
2021-09-16 02:05:56.953372 : Epoch  2, Batch    308, Loss  0.872163, Average Loss  0.873548, Time  0.240630
2021-09-16 02:05:57.404309 : Epoch  4, Batch   1099, Loss  0.879083, Average Loss  0.870050, Time  0.266048
2021-09-16 02:05:59.530739 : Epoch  2, Batch    309, Loss  0.880167, Average Loss  0.873559, Time  0.241476
2021-09-16 02:06:00.414037 : Epoch  4, Batch   1100, Loss  0.873214, Average Loss  0.870003, Time  0.266192
2021-09-16 02:06:02.120702 : Epoch  2, Batch    310, Loss  0.852002, Average Loss  0.873598, Time  0.240715
2021-09-16 02:06:03.430506 : Epoch  4, Batch   1101, Loss  0.832802, Average Loss  0.869795, Time  0.277433
2021-09-16 02:06:04.706343 : Epoch  2, Batch    311, Loss  0.865558, Average Loss  0.873603, Time  0.240422
2021-09-16 02:06:06.461897 : Epoch  4, Batch   1102, Loss  0.853416, Average Loss  0.869634, Time  0.265781
2021-09-16 02:06:07.288908 : Epoch  2, Batch    312, Loss  0.877112, Average Loss  0.873582, Time  0.240616
2021-09-16 02:06:09.449239 : Epoch  4, Batch   1103, Loss  0.882668, Average Loss  0.869741, Time  0.265091
2021-09-16 02:06:09.871833 : Epoch  2, Batch    313, Loss  0.867634, Average Loss  0.873562, Time  0.242662
2021-09-16 02:06:12.423875 : Epoch  4, Batch   1104, Loss  0.855142, Average Loss  0.869758, Time  0.266536
2021-09-16 02:06:12.446992 : Epoch  2, Batch    314, Loss  0.888252, Average Loss  0.873551, Time  0.240268
2021-09-16 02:06:15.039234 : Epoch  2, Batch    315, Loss  0.897296, Average Loss  0.873728, Time  0.240246
2021-09-16 02:06:15.452939 : Epoch  4, Batch   1105, Loss  0.864574, Average Loss  0.869839, Time  0.266003
2021-09-16 02:06:17.630507 : Epoch  2, Batch    316, Loss  0.876107, Average Loss  0.873788, Time  0.240525
2021-09-16 02:06:18.440445 : Epoch  4, Batch   1106, Loss  0.873299, Average Loss  0.869922, Time  0.265983
2021-09-16 02:06:20.209882 : Epoch  2, Batch    317, Loss  0.873893, Average Loss  0.873715, Time  0.240312
2021-09-16 02:06:21.453450 : Epoch  4, Batch   1107, Loss  0.882581, Average Loss  0.870027, Time  0.266069
2021-09-16 02:06:22.794408 : Epoch  2, Batch    318, Loss  0.887740, Average Loss  0.873697, Time  0.239872
2021-09-16 02:06:24.463027 : Epoch  4, Batch   1108, Loss  0.862823, Average Loss  0.869890, Time  0.265743
2021-09-16 02:06:25.375026 : Epoch  2, Batch    319, Loss  0.892457, Average Loss  0.873682, Time  0.240253
2021-09-16 02:06:27.471076 : Epoch  4, Batch   1109, Loss  0.866224, Average Loss  0.869830, Time  0.265753
2021-09-16 02:06:27.962771 : Epoch  2, Batch    320, Loss  0.868972, Average Loss  0.873664, Time  0.241729
2021-09-16 02:06:30.486183 : Epoch  4, Batch   1110, Loss  0.882146, Average Loss  0.869828, Time  0.266444
2021-09-16 02:06:30.620371 : Epoch  2, Batch    321, Loss  0.869145, Average Loss  0.873692, Time  0.258720
2021-09-16 02:06:33.240036 : Epoch  2, Batch    322, Loss  0.840482, Average Loss  0.873484, Time  0.244254
2021-09-16 02:06:33.502089 : Epoch  4, Batch   1111, Loss  0.852500, Average Loss  0.869731, Time  0.265991
2021-09-16 02:06:35.827896 : Epoch  2, Batch    323, Loss  0.870232, Average Loss  0.873477, Time  0.241594
2021-09-16 02:06:36.481211 : Epoch  4, Batch   1112, Loss  0.863208, Average Loss  0.869645, Time  0.266282
2021-09-16 02:06:38.430985 : Epoch  2, Batch    324, Loss  0.868678, Average Loss  0.873452, Time  0.245431
2021-09-16 02:06:39.481033 : Epoch  4, Batch   1113, Loss  0.890374, Average Loss  0.869795, Time  0.265886
2021-09-16 02:06:41.019894 : Epoch  2, Batch    325, Loss  0.874328, Average Loss  0.873449, Time  0.241776
2021-09-16 02:06:42.465115 : Epoch  4, Batch   1114, Loss  0.864525, Average Loss  0.869855, Time  0.266499
2021-09-16 02:06:43.606527 : Epoch  2, Batch    326, Loss  0.869497, Average Loss  0.873510, Time  0.240372
2021-09-16 02:06:45.459784 : Epoch  4, Batch   1115, Loss  0.869210, Average Loss  0.869900, Time  0.266534
2021-09-16 02:06:46.198184 : Epoch  2, Batch    327, Loss  0.883632, Average Loss  0.873552, Time  0.243760
2021-09-16 02:06:48.493405 : Epoch  4, Batch   1116, Loss  0.859955, Average Loss  0.869926, Time  0.279630
2021-09-16 02:06:48.781013 : Epoch  2, Batch    328, Loss  0.860123, Average Loss  0.873523, Time  0.240408
2021-09-16 02:06:51.351033 : Epoch  2, Batch    329, Loss  0.889310, Average Loss  0.873598, Time  0.240391
2021-09-16 02:06:51.472923 : Epoch  4, Batch   1117, Loss  0.864117, Average Loss  0.869933, Time  0.265174
2021-09-16 02:06:53.941282 : Epoch  2, Batch    330, Loss  0.852971, Average Loss  0.873484, Time  0.240979
2021-09-16 02:06:54.449971 : Epoch  4, Batch   1118, Loss  0.863470, Average Loss  0.869874, Time  0.266768
2021-09-16 02:06:56.540982 : Epoch  2, Batch    331, Loss  0.880579, Average Loss  0.873535, Time  0.242628
2021-09-16 02:06:57.426137 : Epoch  4, Batch   1119, Loss  0.862656, Average Loss  0.869934, Time  0.265410
2021-09-16 02:06:59.135939 : Epoch  2, Batch    332, Loss  0.885402, Average Loss  0.873673, Time  0.241230
2021-09-16 02:07:00.410359 : Epoch  4, Batch   1120, Loss  0.859186, Average Loss  0.870011, Time  0.265175
2021-09-16 02:07:01.719378 : Epoch  2, Batch    333, Loss  0.870480, Average Loss  0.873695, Time  0.240362
2021-09-16 02:07:03.392409 : Epoch  4, Batch   1121, Loss  0.884033, Average Loss  0.870167, Time  0.267389
2021-09-16 02:07:04.304817 : Epoch  2, Batch    334, Loss  0.865823, Average Loss  0.873677, Time  0.242525
2021-09-16 02:07:06.393247 : Epoch  4, Batch   1122, Loss  0.863294, Average Loss  0.870155, Time  0.265877
2021-09-16 02:07:06.900888 : Epoch  2, Batch    335, Loss  0.872108, Average Loss  0.873677, Time  0.242001
2021-09-16 02:07:09.389119 : Epoch  4, Batch   1123, Loss  0.873299, Average Loss  0.870031, Time  0.266128
2021-09-16 02:07:09.491399 : Epoch  2, Batch    336, Loss  0.872944, Average Loss  0.873673, Time  0.240540
2021-09-16 02:07:12.066016 : Epoch  2, Batch    337, Loss  0.864702, Average Loss  0.873658, Time  0.240307
2021-09-16 02:07:12.396690 : Epoch  4, Batch   1124, Loss  0.874717, Average Loss  0.870028, Time  0.264902
2021-09-16 02:07:14.645250 : Epoch  2, Batch    338, Loss  0.876172, Average Loss  0.873707, Time  0.240300
2021-09-16 02:07:15.369464 : Epoch  4, Batch   1125, Loss  0.863791, Average Loss  0.870088, Time  0.264764
2021-09-16 02:07:17.241372 : Epoch  2, Batch    339, Loss  0.897543, Average Loss  0.873881, Time  0.242372
2021-09-16 02:07:18.354769 : Epoch  4, Batch   1126, Loss  0.866344, Average Loss  0.870020, Time  0.265884
2021-09-16 02:07:19.841953 : Epoch  2, Batch    340, Loss  0.851905, Average Loss  0.873686, Time  0.241567
2021-09-16 02:07:21.371778 : Epoch  4, Batch   1127, Loss  0.879966, Average Loss  0.870131, Time  0.266324
2021-09-16 02:07:22.426833 : Epoch  2, Batch    341, Loss  0.864101, Average Loss  0.873634, Time  0.240089
2021-09-16 02:07:24.372885 : Epoch  4, Batch   1128, Loss  0.883166, Average Loss  0.870229, Time  0.264802
2021-09-16 02:07:24.998003 : Epoch  2, Batch    342, Loss  0.893805, Average Loss  0.873697, Time  0.241017
2021-09-16 02:07:27.355387 : Epoch  4, Batch   1129, Loss  0.869622, Average Loss  0.870235, Time  0.265159
2021-09-16 02:07:27.578342 : Epoch  2, Batch    343, Loss  0.852390, Average Loss  0.873534, Time  0.240513
2021-09-16 02:07:30.155099 : Epoch  2, Batch    344, Loss  0.886532, Average Loss  0.873604, Time  0.241796
2021-09-16 02:07:30.364745 : Epoch  4, Batch   1130, Loss  0.864392, Average Loss  0.870205, Time  0.266730
2021-09-16 02:07:33.362681 : Epoch  4, Batch   1131, Loss  0.872335, Average Loss  0.870155, Time  0.274521
2021-09-16 02:07:36.376806 : Epoch  4, Batch   1132, Loss  0.876474, Average Loss  0.870192, Time  0.265233
2021-09-16 02:11:33.004065 : CheckPoint: Validation Loss  0.00030940, Best Loss  0.00029477
2021-09-16 02:11:35.593260 : Epoch  2, Batch    345, Loss  0.879561, Average Loss  0.873591, Time  0.241897
2021-09-16 02:11:38.183276 : Epoch  2, Batch    346, Loss  0.861400, Average Loss  0.873595, Time  0.240179
2021-09-16 02:11:40.766358 : Epoch  2, Batch    347, Loss  0.868121, Average Loss  0.873611, Time  0.239520
2021-09-16 02:11:43.350663 : Epoch  2, Batch    348, Loss  0.871707, Average Loss  0.873603, Time  0.239839
2021-09-16 02:11:45.934097 : Epoch  2, Batch    349, Loss  0.875455, Average Loss  0.873550, Time  0.240351
2021-09-16 02:11:48.520723 : Epoch  2, Batch    350, Loss  0.878928, Average Loss  0.873672, Time  0.240161
2021-09-16 02:11:51.105978 : Epoch  2, Batch    351, Loss  0.877461, Average Loss  0.873629, Time  0.241328
2021-09-16 02:11:53.694083 : Epoch  2, Batch    352, Loss  0.861315, Average Loss  0.873652, Time  0.243873
2021-09-16 02:11:56.286425 : Epoch  2, Batch    353, Loss  0.865993, Average Loss  0.873520, Time  0.241349
2021-09-16 02:11:58.867746 : Epoch  2, Batch    354, Loss  0.857889, Average Loss  0.873543, Time  0.240036
2021-09-16 02:12:01.457976 : Epoch  2, Batch    355, Loss  0.864856, Average Loss  0.873437, Time  0.244897
2021-09-16 02:12:04.036916 : Epoch  2, Batch    356, Loss  0.900107, Average Loss  0.873539, Time  0.241935
2021-09-16 02:12:06.626090 : Epoch  2, Batch    357, Loss  0.875452, Average Loss  0.873536, Time  0.240927
2021-09-16 02:12:09.215488 : Epoch  2, Batch    358, Loss  0.850781, Average Loss  0.873420, Time  0.240600
2021-09-16 02:12:11.805451 : Epoch  2, Batch    359, Loss  0.878420, Average Loss  0.873435, Time  0.240421
2021-09-16 02:12:14.392682 : Epoch  2, Batch    360, Loss  0.860661, Average Loss  0.873450, Time  0.242084
2021-09-16 02:12:15.702087 : CheckPoint: Validation Loss  0.00030891, Best Loss  0.00029379
2021-09-16 02:12:16.989869 : Epoch  2, Batch    361, Loss  0.859696, Average Loss  0.873374, Time  0.240389
2021-09-16 02:12:18.691034 : Epoch  4, Batch   1133, Loss  0.863476, Average Loss  0.870234, Time  0.267040
2021-09-16 02:12:19.563663 : Epoch  2, Batch    362, Loss  0.864120, Average Loss  0.873321, Time  0.240132
2021-09-16 02:12:21.680559 : Epoch  4, Batch   1134, Loss  0.852206, Average Loss  0.870221, Time  0.265837
2021-09-16 02:12:22.155860 : Epoch  2, Batch    363, Loss  0.864149, Average Loss  0.873324, Time  0.241448
2021-09-16 02:12:24.677655 : Epoch  4, Batch   1135, Loss  0.852961, Average Loss  0.870118, Time  0.265862
2021-09-16 02:12:24.750963 : Epoch  2, Batch    364, Loss  0.867150, Average Loss  0.873195, Time  0.242515
2021-09-16 02:12:27.339329 : Epoch  2, Batch    365, Loss  0.881366, Average Loss  0.873242, Time  0.244786
2021-09-16 02:12:27.686280 : Epoch  4, Batch   1136, Loss  0.888850, Average Loss  0.870206, Time  0.266715
2021-09-16 02:12:29.917823 : Epoch  2, Batch    366, Loss  0.836136, Average Loss  0.873070, Time  0.240231
2021-09-16 02:12:30.671908 : Epoch  4, Batch   1137, Loss  0.845549, Average Loss  0.870182, Time  0.265215
2021-09-16 02:12:32.500892 : Epoch  2, Batch    367, Loss  0.890844, Average Loss  0.873175, Time  0.240172
2021-09-16 02:12:33.649858 : Epoch  4, Batch   1138, Loss  0.875821, Average Loss  0.870203, Time  0.265928
2021-09-16 02:12:35.074980 : Epoch  2, Batch    368, Loss  0.877646, Average Loss  0.873157, Time  0.241386
2021-09-16 02:12:36.635637 : Epoch  4, Batch   1139, Loss  0.873213, Average Loss  0.870160, Time  0.265950
2021-09-16 02:12:37.659306 : Epoch  2, Batch    369, Loss  0.885576, Average Loss  0.873110, Time  0.240216
2021-09-16 02:12:39.673306 : Epoch  4, Batch   1140, Loss  0.858433, Average Loss  0.870164, Time  0.265358
2021-09-16 02:12:40.248391 : Epoch  2, Batch    370, Loss  0.873723, Average Loss  0.873165, Time  0.239911
2021-09-16 02:12:42.670688 : Epoch  4, Batch   1141, Loss  0.861019, Average Loss  0.870139, Time  0.266029
2021-09-16 02:12:42.838955 : Epoch  2, Batch    371, Loss  0.854267, Average Loss  0.873139, Time  0.240395
2021-09-16 02:12:45.419400 : Epoch  2, Batch    372, Loss  0.878678, Average Loss  0.873176, Time  0.240319
2021-09-16 02:12:45.666668 : Epoch  4, Batch   1142, Loss  0.857306, Average Loss  0.870194, Time  0.265095
2021-09-16 02:12:48.049412 : Epoch  2, Batch    373, Loss  0.882775, Average Loss  0.873287, Time  0.240724
2021-09-16 02:12:48.639808 : Epoch  4, Batch   1143, Loss  0.883700, Average Loss  0.870170, Time  0.264791
2021-09-16 02:12:50.643982 : Epoch  2, Batch    374, Loss  0.861283, Average Loss  0.873191, Time  0.241314
2021-09-16 02:12:51.631515 : Epoch  4, Batch   1144, Loss  0.872457, Average Loss  0.870234, Time  0.265019
2021-09-16 02:12:53.226018 : Epoch  2, Batch    375, Loss  0.856014, Average Loss  0.873018, Time  0.241434
2021-09-16 02:12:54.629183 : Epoch  4, Batch   1145, Loss  0.871769, Average Loss  0.870153, Time  0.266614
2021-09-16 02:12:55.813086 : Epoch  2, Batch    376, Loss  0.862827, Average Loss  0.872918, Time  0.241299
2021-09-16 02:12:57.668260 : Epoch  4, Batch   1146, Loss  0.883903, Average Loss  0.870087, Time  0.265696
2021-09-16 02:12:58.403093 : Epoch  2, Batch    377, Loss  0.882882, Average Loss  0.872877, Time  0.240452
2021-09-16 02:13:00.681226 : Epoch  4, Batch   1147, Loss  0.881915, Average Loss  0.870119, Time  0.277682
2021-09-16 02:13:00.986503 : Epoch  2, Batch    378, Loss  0.871754, Average Loss  0.872832, Time  0.240573
2021-09-16 02:13:03.558473 : Epoch  2, Batch    379, Loss  0.881972, Average Loss  0.872864, Time  0.241128
2021-09-16 02:13:03.699951 : Epoch  4, Batch   1148, Loss  0.878291, Average Loss  0.870198, Time  0.267112
2021-09-16 02:13:06.142938 : Epoch  2, Batch    380, Loss  0.861693, Average Loss  0.872781, Time  0.240125
2021-09-16 02:13:06.730146 : Epoch  4, Batch   1149, Loss  0.870611, Average Loss  0.870223, Time  0.265630
2021-09-16 02:13:08.728943 : Epoch  2, Batch    381, Loss  0.880614, Average Loss  0.872878, Time  0.240093
2021-09-16 02:13:09.724498 : Epoch  4, Batch   1150, Loss  0.850487, Average Loss  0.870020, Time  0.267174
2021-09-16 02:13:11.320420 : Epoch  2, Batch    382, Loss  0.881388, Average Loss  0.872980, Time  0.242105
2021-09-16 02:13:12.735087 : Epoch  4, Batch   1151, Loss  0.867374, Average Loss  0.869957, Time  0.265061
2021-09-16 02:13:13.908082 : Epoch  2, Batch    383, Loss  0.882094, Average Loss  0.873032, Time  0.240001
2021-09-16 02:13:15.716092 : Epoch  4, Batch   1152, Loss  0.882497, Average Loss  0.869998, Time  0.264871
2021-09-16 02:13:16.499678 : Epoch  2, Batch    384, Loss  0.883855, Average Loss  0.873025, Time  0.243230
2021-09-16 02:13:18.698996 : Epoch  4, Batch   1153, Loss  0.852281, Average Loss  0.869924, Time  0.265590
2021-09-16 02:13:19.090089 : Epoch  2, Batch    385, Loss  0.853725, Average Loss  0.872893, Time  0.240131
2021-09-16 02:13:21.678857 : Epoch  2, Batch    386, Loss  0.891765, Average Loss  0.872993, Time  0.240060
2021-09-16 02:13:21.714871 : Epoch  4, Batch   1154, Loss  0.861375, Average Loss  0.869883, Time  0.266326
2021-09-16 02:13:24.275199 : Epoch  2, Batch    387, Loss  0.870337, Average Loss  0.872948, Time  0.240788
2021-09-16 02:13:24.720198 : Epoch  4, Batch   1155, Loss  0.873826, Average Loss  0.870062, Time  0.266808
2021-09-16 02:13:26.858465 : Epoch  2, Batch    388, Loss  0.877304, Average Loss  0.873024, Time  0.240151
2021-09-16 02:13:27.690000 : Epoch  4, Batch   1156, Loss  0.874224, Average Loss  0.870126, Time  0.266200
2021-09-16 02:13:29.437211 : Epoch  2, Batch    389, Loss  0.865263, Average Loss  0.872997, Time  0.241982
2021-09-16 02:13:30.688105 : Epoch  4, Batch   1157, Loss  0.883875, Average Loss  0.870226, Time  0.265752
2021-09-16 02:13:32.015899 : Epoch  2, Batch    390, Loss  0.895785, Average Loss  0.873251, Time  0.240598
2021-09-16 02:13:33.682612 : Epoch  4, Batch   1158, Loss  0.870819, Average Loss  0.870180, Time  0.265891
2021-09-16 02:13:34.601399 : Epoch  2, Batch    391, Loss  0.899418, Average Loss  0.873317, Time  0.240045
2021-09-16 02:13:36.661171 : Epoch  4, Batch   1159, Loss  0.861737, Average Loss  0.870025, Time  0.267418
2021-09-16 02:13:37.176545 : Epoch  2, Batch    392, Loss  0.883063, Average Loss  0.873277, Time  0.240532
2021-09-16 02:13:39.649307 : Epoch  4, Batch   1160, Loss  0.854524, Average Loss  0.869882, Time  0.265293
2021-09-16 02:13:39.748437 : Epoch  2, Batch    393, Loss  0.887806, Average Loss  0.873360, Time  0.239828
2021-09-16 02:13:42.326834 : Epoch  2, Batch    394, Loss  0.868052, Average Loss  0.873218, Time  0.240240
2021-09-16 02:13:42.662884 : Epoch  4, Batch   1161, Loss  0.882819, Average Loss  0.869870, Time  0.266569
2021-09-16 02:13:44.898604 : Epoch  2, Batch    395, Loss  0.860799, Average Loss  0.873170, Time  0.240230
2021-09-16 02:13:45.688879 : Epoch  4, Batch   1162, Loss  0.868378, Average Loss  0.869867, Time  0.275987
2021-09-16 02:13:47.478150 : Epoch  2, Batch    396, Loss  0.860477, Average Loss  0.873042, Time  0.240244
2021-09-16 02:13:48.680200 : Epoch  4, Batch   1163, Loss  0.864430, Average Loss  0.869722, Time  0.267044
2021-09-16 02:13:50.065966 : Epoch  2, Batch    397, Loss  0.857619, Average Loss  0.873120, Time  0.240334
2021-09-16 02:13:51.700869 : Epoch  4, Batch   1164, Loss  0.891523, Average Loss  0.869948, Time  0.265558
2021-09-16 02:13:52.650429 : Epoch  2, Batch    398, Loss  0.865420, Average Loss  0.873065, Time  0.241464
2021-09-16 02:13:54.674281 : Epoch  4, Batch   1165, Loss  0.876090, Average Loss  0.869978, Time  0.266002
2021-09-16 02:13:55.252855 : Epoch  2, Batch    399, Loss  0.874120, Average Loss  0.873049, Time  0.241067
2021-09-16 02:13:57.684060 : Epoch  4, Batch   1166, Loss  0.855155, Average Loss  0.869781, Time  0.266770
2021-09-16 02:13:57.844154 : Epoch  2, Batch    400, Loss  0.873162, Average Loss  0.873021, Time  0.240603
2021-09-16 02:14:00.422289 : Epoch  2, Batch    401, Loss  0.865623, Average Loss  0.873004, Time  0.240597
2021-09-16 02:14:00.671069 : Epoch  4, Batch   1167, Loss  0.881698, Average Loss  0.869792, Time  0.265920
2021-09-16 02:14:03.009936 : Epoch  2, Batch    402, Loss  0.864830, Average Loss  0.872943, Time  0.240697
2021-09-16 02:14:03.647089 : Epoch  4, Batch   1168, Loss  0.874133, Average Loss  0.869766, Time  0.266132
2021-09-16 02:14:05.603125 : Epoch  2, Batch    403, Loss  0.887462, Average Loss  0.872974, Time  0.241261
2021-09-16 02:14:06.664135 : Epoch  4, Batch   1169, Loss  0.879094, Average Loss  0.869712, Time  0.265388
2021-09-16 02:14:08.184712 : Epoch  2, Batch    404, Loss  0.871255, Average Loss  0.872896, Time  0.241257
2021-09-16 02:14:09.641771 : Epoch  4, Batch   1170, Loss  0.861941, Average Loss  0.869705, Time  0.265081
2021-09-16 02:14:10.783396 : Epoch  2, Batch    405, Loss  0.850733, Average Loss  0.872770, Time  0.240685
2021-09-16 02:14:12.625646 : Epoch  4, Batch   1171, Loss  0.861578, Average Loss  0.869633, Time  0.265655
2021-09-16 02:14:13.363314 : Epoch  2, Batch    406, Loss  0.889834, Average Loss  0.872953, Time  0.242059
2021-09-16 02:14:15.648451 : Epoch  4, Batch   1172, Loss  0.889631, Average Loss  0.869705, Time  0.266486
2021-09-16 02:14:15.948728 : Epoch  2, Batch    407, Loss  0.890089, Average Loss  0.872975, Time  0.240295
2021-09-16 02:14:18.540899 : Epoch  2, Batch    408, Loss  0.861219, Average Loss  0.872853, Time  0.240918
2021-09-16 02:14:18.645003 : Epoch  4, Batch   1173, Loss  0.869103, Average Loss  0.869643, Time  0.265462
2021-09-16 02:14:21.143142 : Epoch  2, Batch    409, Loss  0.879967, Average Loss  0.872851, Time  0.240801
2021-09-16 02:14:21.636121 : Epoch  4, Batch   1174, Loss  0.882505, Average Loss  0.869761, Time  0.266015
2021-09-16 02:14:23.727833 : Epoch  2, Batch    410, Loss  0.866099, Average Loss  0.872770, Time  0.240386
2021-09-16 02:14:24.604955 : Epoch  4, Batch   1175, Loss  0.861101, Average Loss  0.869767, Time  0.267215
2021-09-16 02:14:26.312150 : Epoch  2, Batch    411, Loss  0.867465, Average Loss  0.872752, Time  0.240103
2021-09-16 02:14:27.630710 : Epoch  4, Batch   1176, Loss  0.904386, Average Loss  0.869997, Time  0.266074
2021-09-16 02:14:28.912362 : Epoch  2, Batch    412, Loss  0.845588, Average Loss  0.872641, Time  0.240092
2021-09-16 02:14:30.634041 : Epoch  4, Batch   1177, Loss  0.864018, Average Loss  0.869884, Time  0.277929
2021-09-16 02:14:31.491860 : Epoch  2, Batch    413, Loss  0.892049, Average Loss  0.872846, Time  0.241254
2021-09-16 02:14:33.633707 : Epoch  4, Batch   1178, Loss  0.870853, Average Loss  0.869861, Time  0.265635
2021-09-16 02:14:34.071342 : Epoch  2, Batch    414, Loss  0.871755, Average Loss  0.872881, Time  0.240217
2021-09-16 02:14:36.623815 : Epoch  4, Batch   1179, Loss  0.846966, Average Loss  0.869729, Time  0.265192
2021-09-16 02:14:36.653948 : Epoch  2, Batch    415, Loss  0.884950, Average Loss  0.872891, Time  0.239842
2021-09-16 02:14:39.248168 : Epoch  2, Batch    416, Loss  0.865465, Average Loss  0.872885, Time  0.240436
2021-09-16 02:14:39.606673 : Epoch  4, Batch   1180, Loss  0.869647, Average Loss  0.869729, Time  0.265762
2021-09-16 02:14:41.838781 : Epoch  2, Batch    417, Loss  0.873804, Average Loss  0.873012, Time  0.240422
2021-09-16 02:14:42.591515 : Epoch  4, Batch   1181, Loss  0.849939, Average Loss  0.869576, Time  0.265222
2021-09-16 02:14:44.425163 : Epoch  2, Batch    418, Loss  0.892527, Average Loss  0.873122, Time  0.240310
2021-09-16 02:14:45.572558 : Epoch  4, Batch   1182, Loss  0.861213, Average Loss  0.869558, Time  0.265287
2021-09-16 02:14:47.009633 : Epoch  2, Batch    419, Loss  0.873232, Average Loss  0.873068, Time  0.240126
2021-09-16 02:14:48.563671 : Epoch  4, Batch   1183, Loss  0.877150, Average Loss  0.869570, Time  0.265026
2021-09-16 02:14:49.586307 : Epoch  2, Batch    420, Loss  0.861576, Average Loss  0.873015, Time  0.239704
2021-09-16 02:14:51.577901 : Epoch  4, Batch   1184, Loss  0.874655, Average Loss  0.869592, Time  0.266483
2021-09-16 02:14:52.162577 : Epoch  2, Batch    421, Loss  0.869483, Average Loss  0.873093, Time  0.240381
2021-09-16 02:14:54.611835 : Epoch  4, Batch   1185, Loss  0.851441, Average Loss  0.869581, Time  0.265944
2021-09-16 02:14:54.745159 : Epoch  2, Batch    422, Loss  0.855480, Average Loss  0.872827, Time  0.241013
2021-09-16 02:14:57.321063 : Epoch  2, Batch    423, Loss  0.889884, Average Loss  0.872729, Time  0.240681
2021-09-16 02:14:57.624174 : Epoch  4, Batch   1186, Loss  0.862112, Average Loss  0.869522, Time  0.265575
2021-09-16 02:14:59.909222 : Epoch  2, Batch    424, Loss  0.868512, Average Loss  0.872647, Time  0.239955
2021-09-16 02:15:00.593112 : Epoch  4, Batch   1187, Loss  0.866155, Average Loss  0.869522, Time  0.265995
2021-09-16 02:15:02.495748 : Epoch  2, Batch    425, Loss  0.880289, Average Loss  0.872722, Time  0.240825
2021-09-16 02:15:03.573112 : Epoch  4, Batch   1188, Loss  0.869197, Average Loss  0.869454, Time  0.265997
2021-09-16 02:15:05.069485 : Epoch  2, Batch    426, Loss  0.857283, Average Loss  0.872672, Time  0.240980
2021-09-16 02:15:06.561261 : Epoch  4, Batch   1189, Loss  0.869570, Average Loss  0.869408, Time  0.265317
2021-09-16 02:15:07.649863 : Epoch  2, Batch    427, Loss  0.865749, Average Loss  0.872522, Time  0.240245
2021-09-16 02:15:09.538031 : Epoch  4, Batch   1190, Loss  0.878214, Average Loss  0.869369, Time  0.266279
2021-09-16 02:15:10.231047 : Epoch  2, Batch    428, Loss  0.894153, Average Loss  0.872679, Time  0.240448
2021-09-16 02:15:12.513236 : Epoch  4, Batch   1191, Loss  0.866272, Average Loss  0.869297, Time  0.265302
2021-09-16 02:15:12.814665 : Epoch  2, Batch    429, Loss  0.887425, Average Loss  0.872803, Time  0.239927
2021-09-16 02:15:15.387881 : Epoch  2, Batch    430, Loss  0.861062, Average Loss  0.872739, Time  0.240118
2021-09-16 02:15:15.513199 : Epoch  4, Batch   1192, Loss  0.888711, Average Loss  0.869423, Time  0.280730
2021-09-16 02:15:17.963041 : Epoch  2, Batch    431, Loss  0.854513, Average Loss  0.872659, Time  0.240268
2021-09-16 02:15:18.496980 : Epoch  4, Batch   1193, Loss  0.852868, Average Loss  0.869367, Time  0.266523
2021-09-16 02:15:20.536842 : Epoch  2, Batch    432, Loss  0.869371, Average Loss  0.872608, Time  0.240600
2021-09-16 02:15:21.498491 : Epoch  4, Batch   1194, Loss  0.883764, Average Loss  0.869588, Time  0.267424
2021-09-16 02:15:23.125043 : Epoch  2, Batch    433, Loss  0.888408, Average Loss  0.872705, Time  0.240637
2021-09-16 02:15:24.484577 : Epoch  4, Batch   1195, Loss  0.845284, Average Loss  0.869521, Time  0.266720
2021-09-16 02:15:25.707415 : Epoch  2, Batch    434, Loss  0.866513, Average Loss  0.872619, Time  0.243394
2021-09-16 02:15:27.478692 : Epoch  4, Batch   1196, Loss  0.880375, Average Loss  0.869489, Time  0.266302
2021-09-16 02:15:28.280093 : Epoch  2, Batch    435, Loss  0.888073, Average Loss  0.872757, Time  0.241668
2021-09-16 02:15:30.495013 : Epoch  4, Batch   1197, Loss  0.864155, Average Loss  0.869473, Time  0.266918
2021-09-16 02:15:30.860616 : Epoch  2, Batch    436, Loss  0.853582, Average Loss  0.872605, Time  0.239669
2021-09-16 02:15:33.435423 : Epoch  2, Batch    437, Loss  0.870131, Average Loss  0.872630, Time  0.239561
2021-09-16 02:15:33.481818 : Epoch  4, Batch   1198, Loss  0.874282, Average Loss  0.869523, Time  0.265978
2021-09-16 02:15:36.017929 : Epoch  2, Batch    438, Loss  0.874946, Average Loss  0.872631, Time  0.240529
2021-09-16 02:15:36.495834 : Epoch  4, Batch   1199, Loss  0.874088, Average Loss  0.869560, Time  0.265603
2021-09-16 02:15:38.591762 : Epoch  2, Batch    439, Loss  0.878775, Average Loss  0.872558, Time  0.241727
2021-09-16 02:15:39.485503 : Epoch  4, Batch   1200, Loss  0.876907, Average Loss  0.869557, Time  0.265636
2021-09-16 02:15:41.174031 : Epoch  2, Batch    440, Loss  0.872742, Average Loss  0.872426, Time  0.240398
2021-09-16 02:15:42.466733 : Epoch  4, Batch   1201, Loss  0.859802, Average Loss  0.869591, Time  0.264999
2021-09-16 02:15:43.745080 : Epoch  2, Batch    441, Loss  0.886614, Average Loss  0.872478, Time  0.240097
2021-09-16 02:15:45.464036 : Epoch  4, Batch   1202, Loss  0.874230, Average Loss  0.869614, Time  0.266562
2021-09-16 02:15:46.327858 : Epoch  2, Batch    442, Loss  0.874998, Average Loss  0.872352, Time  0.242998
2021-09-16 02:15:48.481238 : Epoch  4, Batch   1203, Loss  0.860837, Average Loss  0.869498, Time  0.265213
2021-09-16 02:15:48.911948 : Epoch  2, Batch    443, Loss  0.858906, Average Loss  0.872359, Time  0.240014
2021-09-16 02:15:51.478024 : Epoch  4, Batch   1204, Loss  0.860339, Average Loss  0.869362, Time  0.266016
2021-09-16 02:15:51.526087 : Epoch  2, Batch    444, Loss  0.853402, Average Loss  0.872238, Time  0.240210
2021-09-16 02:15:54.493757 : Epoch  4, Batch   1205, Loss  0.880717, Average Loss  0.869480, Time  0.266166
2021-09-16 02:15:57.482771 : Epoch  4, Batch   1206, Loss  0.880267, Average Loss  0.869582, Time  0.265040
2021-09-16 02:16:00.476215 : Epoch  4, Batch   1207, Loss  0.857400, Average Loss  0.869503, Time  0.278871
2021-09-16 02:16:03.460814 : Epoch  4, Batch   1208, Loss  0.877701, Average Loss  0.869562, Time  0.267278
2021-09-16 02:16:06.483921 : Epoch  4, Batch   1209, Loss  0.863187, Average Loss  0.869440, Time  0.266140
2021-09-16 02:16:09.509927 : Epoch  4, Batch   1210, Loss  0.889721, Average Loss  0.869530, Time  0.266179
2021-09-16 02:16:12.510201 : Epoch  4, Batch   1211, Loss  0.860732, Average Loss  0.869453, Time  0.265579
2021-09-16 02:16:15.515818 : Epoch  4, Batch   1212, Loss  0.879041, Average Loss  0.869442, Time  0.266035
2021-09-16 02:16:18.496036 : Epoch  4, Batch   1213, Loss  0.864566, Average Loss  0.869431, Time  0.265568
2021-09-16 02:16:21.478278 : Epoch  4, Batch   1214, Loss  0.877248, Average Loss  0.869542, Time  0.266051
2021-09-16 02:16:24.458615 : Epoch  4, Batch   1215, Loss  0.897973, Average Loss  0.869640, Time  0.267226
2021-09-16 02:16:27.445995 : Epoch  4, Batch   1216, Loss  0.866561, Average Loss  0.869602, Time  0.265769
2021-09-16 02:16:30.411159 : Epoch  4, Batch   1217, Loss  0.865830, Average Loss  0.869673, Time  0.266448
2021-09-16 02:16:33.429341 : Epoch  4, Batch   1218, Loss  0.896019, Average Loss  0.869800, Time  0.265467
2021-09-16 02:16:36.445038 : Epoch  4, Batch   1219, Loss  0.866949, Average Loss  0.869735, Time  0.266108
2021-09-16 02:16:39.388549 : Epoch  4, Batch   1220, Loss  0.870486, Average Loss  0.869679, Time  0.265636
2021-09-16 02:16:42.373967 : Epoch  4, Batch   1221, Loss  0.841061, Average Loss  0.869558, Time  0.265424
2021-09-16 02:16:45.363382 : Epoch  4, Batch   1222, Loss  0.865051, Average Loss  0.869485, Time  0.274417
2021-09-16 02:16:48.340535 : Epoch  4, Batch   1223, Loss  0.874623, Average Loss  0.869499, Time  0.265016
2021-09-16 02:16:51.344104 : Epoch  4, Batch   1224, Loss  0.867177, Average Loss  0.869424, Time  0.265376
2021-09-16 02:16:54.324726 : Epoch  4, Batch   1225, Loss  0.858680, Average Loss  0.869390, Time  0.265229
2021-09-16 02:16:57.332625 : Epoch  4, Batch   1226, Loss  0.882945, Average Loss  0.869527, Time  0.265738
2021-09-16 02:17:00.322819 : Epoch  4, Batch   1227, Loss  0.901950, Average Loss  0.869732, Time  0.266100
2021-09-16 02:17:03.337356 : Epoch  4, Batch   1228, Loss  0.888735, Average Loss  0.869768, Time  0.265938
2021-09-16 02:17:06.335236 : Epoch  4, Batch   1229, Loss  0.860060, Average Loss  0.869721, Time  0.265102
2021-09-16 02:17:09.322170 : Epoch  4, Batch   1230, Loss  0.841231, Average Loss  0.869661, Time  0.264811
2021-09-16 02:17:12.298501 : Epoch  4, Batch   1231, Loss  0.875971, Average Loss  0.869666, Time  0.265552
2021-09-16 02:17:15.298417 : Epoch  4, Batch   1232, Loss  0.890999, Average Loss  0.869816, Time  0.266253
2021-09-16 02:19:53.935775 : CheckPoint: Validation Loss  0.00030774, Best Loss  0.00029477
2021-09-16 02:19:56.525316 : Epoch  2, Batch    445, Loss  0.879565, Average Loss  0.872319, Time  0.242862
2021-09-16 02:19:59.117179 : Epoch  2, Batch    446, Loss  0.863776, Average Loss  0.872232, Time  0.241650
2021-09-16 02:20:01.698670 : Epoch  2, Batch    447, Loss  0.876273, Average Loss  0.872277, Time  0.240429
2021-09-16 02:20:04.283481 : Epoch  2, Batch    448, Loss  0.851211, Average Loss  0.872054, Time  0.243104
2021-09-16 02:20:06.872855 : Epoch  2, Batch    449, Loss  0.857829, Average Loss  0.871962, Time  0.239911
2021-09-16 02:20:09.474069 : Epoch  2, Batch    450, Loss  0.876608, Average Loss  0.871944, Time  0.241615
2021-09-16 02:20:12.060266 : Epoch  2, Batch    451, Loss  0.886516, Average Loss  0.872047, Time  0.241297
2021-09-16 02:20:14.639728 : Epoch  2, Batch    452, Loss  0.886947, Average Loss  0.872094, Time  0.240788
2021-09-16 02:20:17.216255 : Epoch  2, Batch    453, Loss  0.889737, Average Loss  0.872102, Time  0.241591
2021-09-16 02:20:19.793430 : Epoch  2, Batch    454, Loss  0.864213, Average Loss  0.871995, Time  0.239891
2021-09-16 02:20:22.366614 : Epoch  2, Batch    455, Loss  0.849724, Average Loss  0.871880, Time  0.241153
2021-09-16 02:20:24.938291 : Epoch  2, Batch    456, Loss  0.859447, Average Loss  0.871910, Time  0.240284
2021-09-16 02:20:27.508741 : Epoch  2, Batch    457, Loss  0.876744, Average Loss  0.871900, Time  0.241371
2021-09-16 02:20:30.086423 : Epoch  2, Batch    458, Loss  0.887348, Average Loss  0.871992, Time  0.241561
2021-09-16 02:20:32.661959 : Epoch  2, Batch    459, Loss  0.872412, Average Loss  0.871996, Time  0.239989
2021-09-16 02:20:35.238434 : Epoch  2, Batch    460, Loss  0.861511, Average Loss  0.871922, Time  0.241343
2021-09-16 02:20:37.817903 : Epoch  2, Batch    461, Loss  0.868725, Average Loss  0.871891, Time  0.241006
2021-09-16 02:20:40.398412 : Epoch  2, Batch    462, Loss  0.860072, Average Loss  0.871641, Time  0.240030
2021-09-16 02:20:42.981483 : Epoch  2, Batch    463, Loss  0.856373, Average Loss  0.871677, Time  0.240957
2021-09-16 02:20:45.567446 : Epoch  2, Batch    464, Loss  0.861893, Average Loss  0.871591, Time  0.241029
2021-09-16 02:20:48.144079 : Epoch  2, Batch    465, Loss  0.881377, Average Loss  0.871583, Time  0.240566
2021-09-16 02:20:50.718475 : Epoch  2, Batch    466, Loss  0.891120, Average Loss  0.871708, Time  0.240752
2021-09-16 02:20:53.305690 : Epoch  2, Batch    467, Loss  0.865638, Average Loss  0.871774, Time  0.242662
2021-09-16 02:20:55.885111 : Epoch  2, Batch    468, Loss  0.868061, Average Loss  0.871841, Time  0.240341
2021-09-16 02:20:58.463168 : Epoch  2, Batch    469, Loss  0.882062, Average Loss  0.871932, Time  0.240626
2021-09-16 02:21:01.039800 : Epoch  2, Batch    470, Loss  0.873848, Average Loss  0.871898, Time  0.240095
2021-09-16 02:21:03.611833 : Epoch  2, Batch    471, Loss  0.878246, Average Loss  0.871885, Time  0.241102
2021-09-16 02:21:06.194802 : Epoch  2, Batch    472, Loss  0.869636, Average Loss  0.871961, Time  0.240255
2021-09-16 02:21:08.786218 : Epoch  2, Batch    473, Loss  0.873417, Average Loss  0.871973, Time  0.239653
2021-09-16 02:21:11.371074 : Epoch  2, Batch    474, Loss  0.865674, Average Loss  0.872025, Time  0.240662
2021-09-16 02:21:13.944118 : Epoch  2, Batch    475, Loss  0.865468, Average Loss  0.872041, Time  0.240190
2021-09-16 02:21:16.525135 : Epoch  2, Batch    476, Loss  0.874353, Average Loss  0.871977, Time  0.240418
2021-09-16 02:21:19.111483 : Epoch  2, Batch    477, Loss  0.875607, Average Loss  0.872066, Time  0.240284
2021-09-16 02:21:21.695697 : Epoch  2, Batch    478, Loss  0.858917, Average Loss  0.872013, Time  0.240696
2021-09-16 02:21:24.272854 : Epoch  2, Batch    479, Loss  0.866578, Average Loss  0.871994, Time  0.241752
2021-09-16 02:21:26.862754 : Epoch  2, Batch    480, Loss  0.876265, Average Loss  0.871909, Time  0.241453
2021-09-16 02:21:29.447966 : Epoch  2, Batch    481, Loss  0.865322, Average Loss  0.871935, Time  0.240450
2021-09-16 02:21:32.016595 : Epoch  2, Batch    482, Loss  0.870831, Average Loss  0.871909, Time  0.239983
2021-09-16 02:21:34.590485 : Epoch  2, Batch    483, Loss  0.878513, Average Loss  0.871884, Time  0.239547
2021-09-16 02:21:37.173869 : Epoch  2, Batch    484, Loss  0.858223, Average Loss  0.871782, Time  0.240395
2021-09-16 02:21:39.756207 : Epoch  2, Batch    485, Loss  0.852892, Average Loss  0.871609, Time  0.243052
2021-09-16 02:21:42.325959 : Epoch  2, Batch    486, Loss  0.871006, Average Loss  0.871672, Time  0.239977
2021-09-16 02:21:44.910503 : Epoch  2, Batch    487, Loss  0.885234, Average Loss  0.871677, Time  0.241268
2021-09-16 02:21:47.489096 : Epoch  2, Batch    488, Loss  0.869467, Average Loss  0.871727, Time  0.239993
2021-09-16 02:21:50.069431 : Epoch  2, Batch    489, Loss  0.871352, Average Loss  0.871804, Time  0.240181
2021-09-16 02:21:52.664858 : Epoch  2, Batch    490, Loss  0.879080, Average Loss  0.871900, Time  0.241280
2021-09-16 02:21:54.222671 : CheckPoint: Validation Loss  0.00030532, Best Loss  0.00029379
2021-09-16 02:21:55.244615 : Epoch  2, Batch    491, Loss  0.848133, Average Loss  0.871745, Time  0.239867
2021-09-16 02:21:57.210327 : Epoch  4, Batch   1233, Loss  0.860366, Average Loss  0.869690, Time  0.268253
2021-09-16 02:21:57.821981 : Epoch  2, Batch    492, Loss  0.888407, Average Loss  0.871814, Time  0.240017
2021-09-16 02:22:00.186133 : Epoch  4, Batch   1234, Loss  0.869969, Average Loss  0.869680, Time  0.266000
2021-09-16 02:22:00.421826 : Epoch  2, Batch    493, Loss  0.864925, Average Loss  0.871839, Time  0.240502
2021-09-16 02:22:03.031426 : Epoch  2, Batch    494, Loss  0.877763, Average Loss  0.871876, Time  0.240077
2021-09-16 02:22:03.200284 : Epoch  4, Batch   1235, Loss  0.868395, Average Loss  0.869726, Time  0.265567
2021-09-16 02:22:05.612178 : Epoch  2, Batch    495, Loss  0.879727, Average Loss  0.871929, Time  0.240810
2021-09-16 02:22:06.188020 : Epoch  4, Batch   1236, Loss  0.882209, Average Loss  0.869867, Time  0.266014
2021-09-16 02:22:08.210655 : Epoch  2, Batch    496, Loss  0.866827, Average Loss  0.871869, Time  0.240113
2021-09-16 02:22:09.216271 : Epoch  4, Batch   1237, Loss  0.844755, Average Loss  0.869706, Time  0.277070
2021-09-16 02:22:10.785603 : Epoch  2, Batch    497, Loss  0.869690, Average Loss  0.871862, Time  0.240298
2021-09-16 02:22:12.220129 : Epoch  4, Batch   1238, Loss  0.866771, Average Loss  0.869743, Time  0.266504
2021-09-16 02:22:13.358422 : Epoch  2, Batch    498, Loss  0.871770, Average Loss  0.871910, Time  0.239883
2021-09-16 02:22:15.210228 : Epoch  4, Batch   1239, Loss  0.869617, Average Loss  0.869791, Time  0.265888
2021-09-16 02:22:15.933865 : Epoch  2, Batch    499, Loss  0.872219, Average Loss  0.871872, Time  0.240129
2021-09-16 02:22:18.224448 : Epoch  4, Batch   1240, Loss  0.872745, Average Loss  0.869603, Time  0.266632
2021-09-16 02:22:18.506944 : Epoch  2, Batch    500, Loss  0.884531, Average Loss  0.871925, Time  0.242288
2021-09-16 02:22:21.071268 : Epoch  2, Batch    501, Loss  0.866716, Average Loss  0.871906, Time  0.240258
2021-09-16 02:22:21.220235 : Epoch  4, Batch   1241, Loss  0.894564, Average Loss  0.869804, Time  0.266383
2021-09-16 02:22:23.641151 : Epoch  2, Batch    502, Loss  0.891218, Average Loss  0.871973, Time  0.240404
2021-09-16 02:22:24.222039 : Epoch  4, Batch   1242, Loss  0.856387, Average Loss  0.869638, Time  0.264817
2021-09-16 02:22:26.210188 : Epoch  2, Batch    503, Loss  0.874415, Average Loss  0.872106, Time  0.240152
2021-09-16 02:22:27.206180 : Epoch  4, Batch   1243, Loss  0.890314, Average Loss  0.869777, Time  0.265797
2021-09-16 02:22:28.808963 : Epoch  2, Batch    504, Loss  0.878319, Average Loss  0.872165, Time  0.243335
2021-09-16 02:22:30.187262 : Epoch  4, Batch   1244, Loss  0.872370, Average Loss  0.869779, Time  0.265532
2021-09-16 02:22:31.386446 : Epoch  2, Batch    505, Loss  0.881456, Average Loss  0.872169, Time  0.239973
2021-09-16 02:22:33.153844 : Epoch  4, Batch   1245, Loss  0.848887, Average Loss  0.869724, Time  0.265576
2021-09-16 02:22:33.959011 : Epoch  2, Batch    506, Loss  0.861408, Average Loss  0.872114, Time  0.240041
2021-09-16 02:22:36.155611 : Epoch  4, Batch   1246, Loss  0.871884, Average Loss  0.869839, Time  0.265365
2021-09-16 02:22:36.556055 : Epoch  2, Batch    507, Loss  0.888670, Average Loss  0.872220, Time  0.240111
2021-09-16 02:22:39.130849 : Epoch  2, Batch    508, Loss  0.850228, Average Loss  0.872111, Time  0.242228
2021-09-16 02:22:39.163224 : Epoch  4, Batch   1247, Loss  0.843811, Average Loss  0.869626, Time  0.266399
2021-09-16 02:22:41.703848 : Epoch  2, Batch    509, Loss  0.878425, Average Loss  0.872102, Time  0.241089
2021-09-16 02:22:42.195998 : Epoch  4, Batch   1248, Loss  0.846326, Average Loss  0.869550, Time  0.265010
2021-09-16 02:22:44.278888 : Epoch  2, Batch    510, Loss  0.870570, Average Loss  0.872195, Time  0.240785
2021-09-16 02:22:45.188909 : Epoch  4, Batch   1249, Loss  0.867543, Average Loss  0.869482, Time  0.266350
2021-09-16 02:22:46.867628 : Epoch  2, Batch    511, Loss  0.857795, Average Loss  0.872156, Time  0.240556
2021-09-16 02:22:48.178053 : Epoch  4, Batch   1250, Loss  0.883386, Average Loss  0.869465, Time  0.265840
2021-09-16 02:22:49.446697 : Epoch  2, Batch    512, Loss  0.864803, Average Loss  0.872094, Time  0.240907
2021-09-16 02:22:51.173312 : Epoch  4, Batch   1251, Loss  0.855362, Average Loss  0.869391, Time  0.265406
2021-09-16 02:22:52.018428 : Epoch  2, Batch    513, Loss  0.904055, Average Loss  0.872277, Time  0.239730
2021-09-16 02:22:54.199433 : Epoch  4, Batch   1252, Loss  0.856603, Average Loss  0.869319, Time  0.276495
2021-09-16 02:22:54.593304 : Epoch  2, Batch    514, Loss  0.875635, Average Loss  0.872214, Time  0.240837
2021-09-16 02:22:57.157412 : Epoch  2, Batch    515, Loss  0.884270, Average Loss  0.872148, Time  0.241835
2021-09-16 02:22:57.204168 : Epoch  4, Batch   1253, Loss  0.858824, Average Loss  0.869389, Time  0.267622
2021-09-16 02:22:59.737478 : Epoch  2, Batch    516, Loss  0.873424, Average Loss  0.872135, Time  0.240498
2021-09-16 02:23:00.187499 : Epoch  4, Batch   1254, Loss  0.883746, Average Loss  0.869445, Time  0.266661
2021-09-16 02:23:02.308242 : Epoch  2, Batch    517, Loss  0.868254, Average Loss  0.872107, Time  0.240102
2021-09-16 02:23:03.195072 : Epoch  4, Batch   1255, Loss  0.867000, Average Loss  0.869472, Time  0.265956
2021-09-16 02:23:04.881621 : Epoch  2, Batch    518, Loss  0.876956, Average Loss  0.872053, Time  0.240722
2021-09-16 02:23:06.196964 : Epoch  4, Batch   1256, Loss  0.861680, Average Loss  0.869441, Time  0.266844
2021-09-16 02:23:07.474902 : Epoch  2, Batch    519, Loss  0.892352, Average Loss  0.872052, Time  0.240436
2021-09-16 02:23:09.221909 : Epoch  4, Batch   1257, Loss  0.846514, Average Loss  0.869269, Time  0.266193
2021-09-16 02:23:10.054804 : Epoch  2, Batch    520, Loss  0.887384, Average Loss  0.872144, Time  0.240932
2021-09-16 02:23:12.247386 : Epoch  4, Batch   1258, Loss  0.868653, Average Loss  0.869197, Time  0.266523
2021-09-16 02:23:12.626256 : Epoch  2, Batch    521, Loss  0.894388, Average Loss  0.872271, Time  0.240704
2021-09-16 02:23:15.193039 : Epoch  2, Batch    522, Loss  0.870939, Average Loss  0.872423, Time  0.239814
2021-09-16 02:23:15.285156 : Epoch  4, Batch   1259, Loss  0.855022, Average Loss  0.869101, Time  0.267369
2021-09-16 02:23:17.767552 : Epoch  2, Batch    523, Loss  0.858407, Average Loss  0.872364, Time  0.239872
2021-09-16 02:23:18.298235 : Epoch  4, Batch   1260, Loss  0.872080, Average Loss  0.869100, Time  0.266831
2021-09-16 02:23:20.348689 : Epoch  2, Batch    524, Loss  0.854363, Average Loss  0.872292, Time  0.240499
2021-09-16 02:23:21.295550 : Epoch  4, Batch   1261, Loss  0.855978, Average Loss  0.869121, Time  0.264798
2021-09-16 02:23:22.924606 : Epoch  2, Batch    525, Loss  0.868513, Average Loss  0.872263, Time  0.240260
2021-09-16 02:23:24.273482 : Epoch  4, Batch   1262, Loss  0.865247, Average Loss  0.869138, Time  0.265863
2021-09-16 02:23:25.496843 : Epoch  2, Batch    526, Loss  0.867043, Average Loss  0.872251, Time  0.240279
2021-09-16 02:23:27.320422 : Epoch  4, Batch   1263, Loss  0.881486, Average Loss  0.869102, Time  0.266889
2021-09-16 02:23:28.070865 : Epoch  2, Batch    527, Loss  0.848098, Average Loss  0.872073, Time  0.240308
2021-09-16 02:23:30.367556 : Epoch  4, Batch   1264, Loss  0.862659, Average Loss  0.869125, Time  0.266562
2021-09-16 02:23:30.642229 : Epoch  2, Batch    528, Loss  0.888672, Average Loss  0.872216, Time  0.240021
2021-09-16 02:23:33.200712 : Epoch  2, Batch    529, Loss  0.864900, Average Loss  0.872094, Time  0.239914
2021-09-16 02:23:33.385703 : Epoch  4, Batch   1265, Loss  0.855601, Average Loss  0.869039, Time  0.265927
2021-09-16 02:23:35.783021 : Epoch  2, Batch    530, Loss  0.886219, Average Loss  0.872260, Time  0.240659
2021-09-16 02:23:36.379767 : Epoch  4, Batch   1266, Loss  0.876497, Average Loss  0.869096, Time  0.265758
2021-09-16 02:23:38.375058 : Epoch  2, Batch    531, Loss  0.857290, Average Loss  0.872144, Time  0.240542
2021-09-16 02:23:39.355529 : Epoch  4, Batch   1267, Loss  0.873265, Average Loss  0.869181, Time  0.273081
2021-09-16 02:23:40.949025 : Epoch  2, Batch    532, Loss  0.858835, Average Loss  0.872011, Time  0.240781
2021-09-16 02:23:42.373568 : Epoch  4, Batch   1268, Loss  0.870932, Average Loss  0.869287, Time  0.265665
2021-09-16 02:23:43.526572 : Epoch  2, Batch    533, Loss  0.879204, Average Loss  0.872054, Time  0.240732
2021-09-16 02:23:45.361041 : Epoch  4, Batch   1269, Loss  0.865933, Average Loss  0.869256, Time  0.265974
2021-09-16 02:23:46.111302 : Epoch  2, Batch    534, Loss  0.888770, Average Loss  0.872169, Time  0.241611
2021-09-16 02:23:48.391121 : Epoch  4, Batch   1270, Loss  0.883320, Average Loss  0.869374, Time  0.265754
2021-09-16 02:23:48.689923 : Epoch  2, Batch    535, Loss  0.878999, Average Loss  0.872204, Time  0.240145
2021-09-16 02:23:51.249463 : Epoch  2, Batch    536, Loss  0.888407, Average Loss  0.872281, Time  0.240489
2021-09-16 02:23:51.380357 : Epoch  4, Batch   1271, Loss  0.864733, Average Loss  0.869294, Time  0.266217
2021-09-16 02:23:53.834010 : Epoch  2, Batch    537, Loss  0.861968, Average Loss  0.872267, Time  0.240303
2021-09-16 02:23:54.360759 : Epoch  4, Batch   1272, Loss  0.884614, Average Loss  0.869364, Time  0.265507
2021-09-16 02:23:56.406165 : Epoch  2, Batch    538, Loss  0.876567, Average Loss  0.872269, Time  0.240105
2021-09-16 02:23:57.403101 : Epoch  4, Batch   1273, Loss  0.873843, Average Loss  0.869371, Time  0.266437
2021-09-16 02:23:58.978047 : Epoch  2, Batch    539, Loss  0.864830, Average Loss  0.872106, Time  0.241255
2021-09-16 02:24:00.403962 : Epoch  4, Batch   1274, Loss  0.880508, Average Loss  0.869371, Time  0.267669
2021-09-16 02:24:01.554078 : Epoch  2, Batch    540, Loss  0.900598, Average Loss  0.872349, Time  0.240119
2021-09-16 02:24:03.440524 : Epoch  4, Batch   1275, Loss  0.878798, Average Loss  0.869468, Time  0.265895
2021-09-16 02:24:04.135420 : Epoch  2, Batch    541, Loss  0.870644, Average Loss  0.872382, Time  0.240212
2021-09-16 02:24:06.457320 : Epoch  4, Batch   1276, Loss  0.874593, Average Loss  0.869445, Time  0.266093
2021-09-16 02:24:06.707103 : Epoch  2, Batch    542, Loss  0.892176, Average Loss  0.872374, Time  0.240251
2021-09-16 02:24:09.271884 : Epoch  2, Batch    543, Loss  0.878790, Average Loss  0.872506, Time  0.240527
2021-09-16 02:24:09.439386 : Epoch  4, Batch   1277, Loss  0.844438, Average Loss  0.869298, Time  0.265765
2021-09-16 02:24:11.847193 : Epoch  2, Batch    544, Loss  0.885898, Average Loss  0.872503, Time  0.240405
2021-09-16 02:24:12.428733 : Epoch  4, Batch   1278, Loss  0.838255, Average Loss  0.869078, Time  0.268160
2021-09-16 02:24:15.422089 : Epoch  4, Batch   1279, Loss  0.891925, Average Loss  0.869163, Time  0.266256
2021-09-16 02:24:18.417982 : Epoch  4, Batch   1280, Loss  0.874112, Average Loss  0.869179, Time  0.265797
2021-09-16 02:24:21.435314 : Epoch  4, Batch   1281, Loss  0.868183, Average Loss  0.869111, Time  0.265434
2021-09-16 02:24:24.430393 : Epoch  4, Batch   1282, Loss  0.835298, Average Loss  0.868843, Time  0.276555
2021-09-16 02:24:27.419121 : Epoch  4, Batch   1283, Loss  0.882055, Average Loss  0.869015, Time  0.265204
2021-09-16 02:24:30.427331 : Epoch  4, Batch   1284, Loss  0.884710, Average Loss  0.869087, Time  0.265421
2021-09-16 02:24:33.415332 : Epoch  4, Batch   1285, Loss  0.873702, Average Loss  0.869129, Time  0.265839
2021-09-16 02:24:36.423156 : Epoch  4, Batch   1286, Loss  0.861179, Average Loss  0.868993, Time  0.265201
2021-09-16 02:24:39.427049 : Epoch  4, Batch   1287, Loss  0.865795, Average Loss  0.868927, Time  0.265466
2021-09-16 02:24:42.424365 : Epoch  4, Batch   1288, Loss  0.868965, Average Loss  0.868975, Time  0.266807
2021-09-16 02:24:45.439768 : Epoch  4, Batch   1289, Loss  0.884944, Average Loss  0.869045, Time  0.265204
2021-09-16 02:24:48.452909 : Epoch  4, Batch   1290, Loss  0.874156, Average Loss  0.869071, Time  0.265678
2021-09-16 02:24:51.449558 : Epoch  4, Batch   1291, Loss  0.886442, Average Loss  0.869154, Time  0.265151
2021-09-16 02:24:54.473491 : Epoch  4, Batch   1292, Loss  0.862827, Average Loss  0.869110, Time  0.265705
2021-09-16 02:24:57.477623 : Epoch  4, Batch   1293, Loss  0.869665, Average Loss  0.869071, Time  0.266307
2021-09-16 02:25:00.471934 : Epoch  4, Batch   1294, Loss  0.853288, Average Loss  0.869110, Time  0.265775
2021-09-16 02:25:03.463449 : Epoch  4, Batch   1295, Loss  0.862393, Average Loss  0.869119, Time  0.267221
2021-09-16 02:25:06.440685 : Epoch  4, Batch   1296, Loss  0.870470, Average Loss  0.869159, Time  0.265524
2021-09-16 02:25:09.477200 : Epoch  4, Batch   1297, Loss  0.870242, Average Loss  0.869176, Time  0.280311
2021-09-16 02:25:12.464995 : Epoch  4, Batch   1298, Loss  0.867923, Average Loss  0.869137, Time  0.268041
2021-09-16 02:25:15.451670 : Epoch  4, Batch   1299, Loss  0.872650, Average Loss  0.869105, Time  0.265983
2021-09-16 02:25:18.446540 : Epoch  4, Batch   1300, Loss  0.890820, Average Loss  0.869193, Time  0.266567
2021-09-16 02:25:21.444290 : Epoch  4, Batch   1301, Loss  0.859494, Average Loss  0.869326, Time  0.265530
2021-09-16 02:25:24.425639 : Epoch  4, Batch   1302, Loss  0.841402, Average Loss  0.869266, Time  0.265939
2021-09-16 02:25:27.423175 : Epoch  4, Batch   1303, Loss  0.861308, Average Loss  0.869159, Time  0.265112
2021-09-16 02:25:30.415188 : Epoch  4, Batch   1304, Loss  0.889308, Average Loss  0.869330, Time  0.265269
2021-09-16 02:25:33.402719 : Epoch  4, Batch   1305, Loss  0.870774, Average Loss  0.869361, Time  0.265345
2021-09-16 02:25:36.401806 : Epoch  4, Batch   1306, Loss  0.867142, Average Loss  0.869330, Time  0.265580
2021-09-16 02:25:39.382502 : Epoch  4, Batch   1307, Loss  0.880657, Average Loss  0.869321, Time  0.266299
2021-09-16 02:25:42.391723 : Epoch  4, Batch   1308, Loss  0.863761, Average Loss  0.869325, Time  0.265074
2021-09-16 02:25:45.410189 : Epoch  4, Batch   1309, Loss  0.864685, Average Loss  0.869318, Time  0.265528
2021-09-16 02:25:48.353980 : Epoch  4, Batch   1310, Loss  0.880152, Average Loss  0.869308, Time  0.264022
2021-09-16 02:25:51.323679 : Epoch  4, Batch   1311, Loss  0.862177, Average Loss  0.869356, Time  0.267069
2021-09-16 02:25:54.348825 : Epoch  4, Batch   1312, Loss  0.864880, Average Loss  0.869364, Time  0.275913
2021-09-16 02:25:57.322976 : Epoch  4, Batch   1313, Loss  0.854598, Average Loss  0.869186, Time  0.264878
2021-09-16 02:26:00.297713 : Epoch  4, Batch   1314, Loss  0.868985, Average Loss  0.869208, Time  0.265257
2021-09-16 02:26:03.265023 : Epoch  4, Batch   1315, Loss  0.871137, Average Loss  0.869217, Time  0.267356
2021-09-16 02:26:06.243414 : Epoch  4, Batch   1316, Loss  0.876074, Average Loss  0.869298, Time  0.264773
2021-09-16 02:26:09.240976 : Epoch  4, Batch   1317, Loss  0.860509, Average Loss  0.869280, Time  0.265979
2021-09-16 02:26:12.240928 : Epoch  4, Batch   1318, Loss  0.891331, Average Loss  0.869419, Time  0.265956
2021-09-16 02:26:15.234050 : Epoch  4, Batch   1319, Loss  0.858220, Average Loss  0.869397, Time  0.265587
2021-09-16 02:26:18.207744 : Epoch  4, Batch   1320, Loss  0.870624, Average Loss  0.869454, Time  0.266521
2021-09-16 02:26:21.183434 : Epoch  4, Batch   1321, Loss  0.861545, Average Loss  0.869342, Time  0.265381
2021-09-16 02:26:24.182032 : Epoch  4, Batch   1322, Loss  0.889739, Average Loss  0.869474, Time  0.266019
2021-09-16 02:26:27.163026 : Epoch  4, Batch   1323, Loss  0.882597, Average Loss  0.869521, Time  0.265935
2021-09-16 02:26:30.151647 : Epoch  4, Batch   1324, Loss  0.852442, Average Loss  0.869409, Time  0.265131
2021-09-16 02:26:33.127224 : Epoch  4, Batch   1325, Loss  0.859444, Average Loss  0.869387, Time  0.265576
2021-09-16 02:26:36.128512 : Epoch  4, Batch   1326, Loss  0.881375, Average Loss  0.869463, Time  0.265741
2021-09-16 02:26:39.131227 : Epoch  4, Batch   1327, Loss  0.885358, Average Loss  0.869490, Time  0.276302
2021-09-16 02:26:42.168135 : Epoch  4, Batch   1328, Loss  0.871572, Average Loss  0.869432, Time  0.265919
2021-09-16 02:26:45.142552 : Epoch  4, Batch   1329, Loss  0.871632, Average Loss  0.869442, Time  0.265541
2021-09-16 02:26:48.117168 : Epoch  4, Batch   1330, Loss  0.878394, Average Loss  0.869512, Time  0.265313
2021-09-16 02:26:51.091016 : Epoch  4, Batch   1331, Loss  0.855821, Average Loss  0.869429, Time  0.265354
2021-09-16 02:26:54.099868 : Epoch  4, Batch   1332, Loss  0.863374, Average Loss  0.869364, Time  0.265399
2021-09-16 02:28:13.734762 : CheckPoint: Validation Loss  0.00030363, Best Loss  0.00029477
2021-09-16 02:28:16.308163 : Epoch  2, Batch    545, Loss  0.846865, Average Loss  0.872339, Time  0.241856
2021-09-16 02:28:18.901389 : Epoch  2, Batch    546, Loss  0.864543, Average Loss  0.872355, Time  0.240026
2021-09-16 02:28:21.481941 : Epoch  2, Batch    547, Loss  0.869757, Average Loss  0.872363, Time  0.246060
2021-09-16 02:28:24.058669 : Epoch  2, Batch    548, Loss  0.844401, Average Loss  0.872226, Time  0.240967
2021-09-16 02:28:26.640156 : Epoch  2, Batch    549, Loss  0.871923, Average Loss  0.872209, Time  0.241095
2021-09-16 02:28:29.232347 : Epoch  2, Batch    550, Loss  0.871849, Average Loss  0.872173, Time  0.239979
2021-09-16 02:28:31.798302 : Epoch  2, Batch    551, Loss  0.869018, Average Loss  0.872131, Time  0.240097
2021-09-16 02:28:34.395947 : Epoch  2, Batch    552, Loss  0.870136, Average Loss  0.872175, Time  0.240636
2021-09-16 02:28:36.981626 : Epoch  2, Batch    553, Loss  0.885964, Average Loss  0.872275, Time  0.241385
2021-09-16 02:28:39.563804 : Epoch  2, Batch    554, Loss  0.851986, Average Loss  0.872246, Time  0.240660
2021-09-16 02:28:42.173956 : Epoch  2, Batch    555, Loss  0.861945, Average Loss  0.872231, Time  0.239939
2021-09-16 02:28:44.763545 : Epoch  2, Batch    556, Loss  0.863418, Average Loss  0.872048, Time  0.242944
2021-09-16 02:28:47.338377 : Epoch  2, Batch    557, Loss  0.873043, Average Loss  0.872036, Time  0.240313
2021-09-16 02:28:49.913462 : Epoch  2, Batch    558, Loss  0.878774, Average Loss  0.872176, Time  0.240219
2021-09-16 02:28:52.491246 : Epoch  2, Batch    559, Loss  0.863795, Average Loss  0.872102, Time  0.240321
2021-09-16 02:28:55.068654 : Epoch  2, Batch    560, Loss  0.899062, Average Loss  0.872294, Time  0.240216
2021-09-16 02:28:57.642710 : Epoch  2, Batch    561, Loss  0.880549, Average Loss  0.872399, Time  0.239983
2021-09-16 02:29:00.229447 : Epoch  2, Batch    562, Loss  0.860973, Average Loss  0.872383, Time  0.241617
2021-09-16 02:29:02.798702 : Epoch  2, Batch    563, Loss  0.894094, Average Loss  0.872533, Time  0.239935
2021-09-16 02:29:05.366274 : Epoch  2, Batch    564, Loss  0.849577, Average Loss  0.872445, Time  0.240575
2021-09-16 02:29:07.976884 : Epoch  2, Batch    565, Loss  0.866817, Average Loss  0.872372, Time  0.240032
2021-09-16 02:29:10.548408 : Epoch  2, Batch    566, Loss  0.864953, Average Loss  0.872516, Time  0.240245
2021-09-16 02:29:13.124115 : Epoch  2, Batch    567, Loss  0.889837, Average Loss  0.872511, Time  0.240651
2021-09-16 02:29:15.693344 : Epoch  2, Batch    568, Loss  0.868734, Average Loss  0.872467, Time  0.240809
2021-09-16 02:29:18.260442 : Epoch  2, Batch    569, Loss  0.866922, Average Loss  0.872373, Time  0.240803
2021-09-16 02:29:20.846388 : Epoch  2, Batch    570, Loss  0.867111, Average Loss  0.872340, Time  0.245076
2021-09-16 02:29:23.415043 : Epoch  2, Batch    571, Loss  0.903912, Average Loss  0.872588, Time  0.240106
2021-09-16 02:29:25.992842 : Epoch  2, Batch    572, Loss  0.855669, Average Loss  0.872473, Time  0.241680
2021-09-16 02:29:28.566979 : Epoch  2, Batch    573, Loss  0.875100, Average Loss  0.872435, Time  0.240682
2021-09-16 02:29:31.157957 : Epoch  2, Batch    574, Loss  0.869722, Average Loss  0.872477, Time  0.240979
2021-09-16 02:29:33.730728 : Epoch  2, Batch    575, Loss  0.874002, Average Loss  0.872567, Time  0.240122
2021-09-16 02:29:36.340902 : Epoch  2, Batch    576, Loss  0.886066, Average Loss  0.872683, Time  0.241958
2021-09-16 02:29:38.946414 : Epoch  2, Batch    577, Loss  0.868818, Average Loss  0.872613, Time  0.242234
2021-09-16 02:29:41.524996 : Epoch  2, Batch    578, Loss  0.860633, Average Loss  0.872557, Time  0.240252
2021-09-16 02:29:44.126393 : Epoch  2, Batch    579, Loss  0.893685, Average Loss  0.872616, Time  0.240974
2021-09-16 02:29:46.702101 : Epoch  2, Batch    580, Loss  0.882256, Average Loss  0.872719, Time  0.240458
2021-09-16 02:29:49.280464 : Epoch  2, Batch    581, Loss  0.849383, Average Loss  0.872563, Time  0.240901
2021-09-16 02:29:51.861101 : Epoch  2, Batch    582, Loss  0.856143, Average Loss  0.872436, Time  0.240580
2021-09-16 02:29:54.437599 : Epoch  2, Batch    583, Loss  0.889933, Average Loss  0.872476, Time  0.241061
2021-09-16 02:29:57.040664 : Epoch  2, Batch    584, Loss  0.883247, Average Loss  0.872473, Time  0.239965
2021-09-16 02:29:59.639582 : Epoch  2, Batch    585, Loss  0.874097, Average Loss  0.872574, Time  0.240488
2021-09-16 02:30:02.231959 : Epoch  2, Batch    586, Loss  0.880047, Average Loss  0.872516, Time  0.241786
2021-09-16 02:30:04.817995 : Epoch  2, Batch    587, Loss  0.865822, Average Loss  0.872493, Time  0.241178
2021-09-16 02:30:07.385866 : Epoch  2, Batch    588, Loss  0.846853, Average Loss  0.872341, Time  0.240135
2021-09-16 02:30:09.980436 : Epoch  2, Batch    589, Loss  0.876280, Average Loss  0.872396, Time  0.240986
2021-09-16 02:30:12.552968 : Epoch  2, Batch    590, Loss  0.877982, Average Loss  0.872307, Time  0.240137
2021-09-16 02:30:15.125878 : Epoch  2, Batch    591, Loss  0.867009, Average Loss  0.872145, Time  0.240210
2021-09-16 02:30:17.708911 : Epoch  2, Batch    592, Loss  0.871102, Average Loss  0.872085, Time  0.241497
2021-09-16 02:30:20.284905 : Epoch  2, Batch    593, Loss  0.868515, Average Loss  0.871989, Time  0.241503
2021-09-16 02:30:22.864194 : Epoch  2, Batch    594, Loss  0.850265, Average Loss  0.871900, Time  0.240662
2021-09-16 02:30:25.430890 : Epoch  2, Batch    595, Loss  0.865687, Average Loss  0.871924, Time  0.241479
2021-09-16 02:30:28.011125 : Epoch  2, Batch    596, Loss  0.859623, Average Loss  0.871920, Time  0.247576
2021-09-16 02:30:30.594361 : Epoch  2, Batch    597, Loss  0.872802, Average Loss  0.871996, Time  0.240200
2021-09-16 02:30:33.167937 : Epoch  2, Batch    598, Loss  0.868359, Average Loss  0.872011, Time  0.241107
2021-09-16 02:30:35.752470 : Epoch  2, Batch    599, Loss  0.858455, Average Loss  0.871932, Time  0.240400
2021-09-16 02:30:38.335427 : Epoch  2, Batch    600, Loss  0.860247, Average Loss  0.871868, Time  0.240040
2021-09-16 02:30:40.911759 : Epoch  2, Batch    601, Loss  0.870191, Average Loss  0.871891, Time  0.240550
2021-09-16 02:30:43.505464 : Epoch  2, Batch    602, Loss  0.875924, Average Loss  0.871946, Time  0.240673
2021-09-16 02:30:46.078070 : Epoch  2, Batch    603, Loss  0.873673, Average Loss  0.871877, Time  0.240439
2021-09-16 02:30:48.647473 : Epoch  2, Batch    604, Loss  0.855302, Average Loss  0.871797, Time  0.241243
2021-09-16 02:30:51.214389 : Epoch  2, Batch    605, Loss  0.872925, Average Loss  0.871908, Time  0.243090
2021-09-16 02:30:53.780791 : Epoch  2, Batch    606, Loss  0.881982, Average Loss  0.871869, Time  0.241277
2021-09-16 02:30:56.353585 : Epoch  2, Batch    607, Loss  0.869355, Average Loss  0.871765, Time  0.240219
2021-09-16 02:30:58.926126 : Epoch  2, Batch    608, Loss  0.893955, Average Loss  0.871929, Time  0.240212
2021-09-16 02:31:01.505872 : Epoch  2, Batch    609, Loss  0.870072, Average Loss  0.871880, Time  0.240307
2021-09-16 02:31:04.109130 : Epoch  2, Batch    610, Loss  0.868410, Average Loss  0.871891, Time  0.240180
2021-09-16 02:31:06.680317 : Epoch  2, Batch    611, Loss  0.878591, Average Loss  0.871947, Time  0.240579
2021-09-16 02:31:09.248295 : Epoch  2, Batch    612, Loss  0.879495, Average Loss  0.872116, Time  0.240032
2021-09-16 02:31:11.822593 : Epoch  2, Batch    613, Loss  0.848438, Average Loss  0.871898, Time  0.240393
2021-09-16 02:31:14.393721 : Epoch  2, Batch    614, Loss  0.867050, Average Loss  0.871875, Time  0.241081
2021-09-16 02:31:16.974974 : Epoch  2, Batch    615, Loss  0.871194, Average Loss  0.871806, Time  0.240295
2021-09-16 02:31:19.565941 : Epoch  2, Batch    616, Loss  0.856104, Average Loss  0.871759, Time  0.240417
2021-09-16 02:31:22.138117 : Epoch  2, Batch    617, Loss  0.872290, Average Loss  0.871752, Time  0.242488
2021-09-16 02:31:24.733139 : Epoch  2, Batch    618, Loss  0.877352, Average Loss  0.871676, Time  0.243429
2021-09-16 02:31:27.310275 : Epoch  2, Batch    619, Loss  0.862172, Average Loss  0.871620, Time  0.240772
2021-09-16 02:31:29.883012 : Epoch  2, Batch    620, Loss  0.845216, Average Loss  0.871539, Time  0.241994
2021-09-16 02:31:32.476407 : Epoch  2, Batch    621, Loss  0.850146, Average Loss  0.871442, Time  0.240959
2021-09-16 02:31:33.030697 : CheckPoint: Validation Loss  0.00030830, Best Loss  0.00029379
2021-09-16 02:31:35.056441 : Epoch  2, Batch    622, Loss  0.870428, Average Loss  0.871517, Time  0.240389
2021-09-16 02:31:36.051250 : Epoch  4, Batch   1333, Loss  0.861100, Average Loss  0.869352, Time  0.267322
2021-09-16 02:31:37.641654 : Epoch  2, Batch    623, Loss  0.864908, Average Loss  0.871392, Time  0.240109
2021-09-16 02:31:39.035176 : Epoch  4, Batch   1334, Loss  0.853460, Average Loss  0.869358, Time  0.267272
2021-09-16 02:31:40.217646 : Epoch  2, Batch    624, Loss  0.890760, Average Loss  0.871503, Time  0.239714
2021-09-16 02:31:42.012681 : Epoch  4, Batch   1335, Loss  0.858031, Average Loss  0.869383, Time  0.265709
2021-09-16 02:31:42.797039 : Epoch  2, Batch    625, Loss  0.861086, Average Loss  0.871407, Time  0.239856
2021-09-16 02:31:45.041251 : Epoch  4, Batch   1336, Loss  0.894748, Average Loss  0.869413, Time  0.266746
2021-09-16 02:31:45.369041 : Epoch  2, Batch    626, Loss  0.876411, Average Loss  0.871503, Time  0.240406
2021-09-16 02:31:47.948232 : Epoch  2, Batch    627, Loss  0.864617, Average Loss  0.871497, Time  0.241011
2021-09-16 02:31:48.037028 : Epoch  4, Batch   1337, Loss  0.875869, Average Loss  0.869564, Time  0.266094
2021-09-16 02:31:50.522385 : Epoch  2, Batch    628, Loss  0.877549, Average Loss  0.871414, Time  0.240824
2021-09-16 02:31:51.034652 : Epoch  4, Batch   1338, Loss  0.892660, Average Loss  0.869649, Time  0.265496
2021-09-16 02:31:53.098902 : Epoch  2, Batch    629, Loss  0.877628, Average Loss  0.871365, Time  0.240179
2021-09-16 02:31:54.043505 : Epoch  4, Batch   1339, Loss  0.878105, Average Loss  0.869673, Time  0.265712
2021-09-16 02:31:55.687179 : Epoch  2, Batch    630, Loss  0.894649, Average Loss  0.871533, Time  0.241465
2021-09-16 02:31:57.064376 : Epoch  4, Batch   1340, Loss  0.883277, Average Loss  0.869797, Time  0.265918
2021-09-16 02:31:58.266962 : Epoch  2, Batch    631, Loss  0.869319, Average Loss  0.871607, Time  0.240793
2021-09-16 02:32:00.092577 : Epoch  4, Batch   1341, Loss  0.877877, Average Loss  0.869882, Time  0.267233
2021-09-16 02:32:00.838902 : Epoch  2, Batch    632, Loss  0.877607, Average Loss  0.871648, Time  0.241250
2021-09-16 02:32:03.104539 : Epoch  4, Batch   1342, Loss  0.863526, Average Loss  0.869913, Time  0.281072
2021-09-16 02:32:03.414017 : Epoch  2, Batch    633, Loss  0.854150, Average Loss  0.871477, Time  0.240754
2021-09-16 02:32:05.981833 : Epoch  2, Batch    634, Loss  0.870556, Average Loss  0.871497, Time  0.240072
2021-09-16 02:32:06.098077 : Epoch  4, Batch   1343, Loss  0.893505, Average Loss  0.869962, Time  0.266980
2021-09-16 02:32:08.553724 : Epoch  2, Batch    635, Loss  0.866140, Average Loss  0.871387, Time  0.239825
2021-09-16 02:32:09.112245 : Epoch  4, Batch   1344, Loss  0.843068, Average Loss  0.869815, Time  0.265695
2021-09-16 02:32:11.131691 : Epoch  2, Batch    636, Loss  0.850727, Average Loss  0.871373, Time  0.240029
2021-09-16 02:32:12.120202 : Epoch  4, Batch   1345, Loss  0.872779, Average Loss  0.869820, Time  0.266239
2021-09-16 02:32:13.708897 : Epoch  2, Batch    637, Loss  0.857428, Average Loss  0.871310, Time  0.240323
2021-09-16 02:32:15.149439 : Epoch  4, Batch   1346, Loss  0.869755, Average Loss  0.869749, Time  0.266116
2021-09-16 02:32:16.286031 : Epoch  2, Batch    638, Loss  0.884150, Average Loss  0.871356, Time  0.240355
2021-09-16 02:32:18.134142 : Epoch  4, Batch   1347, Loss  0.863182, Average Loss  0.869655, Time  0.266000
2021-09-16 02:32:18.867957 : Epoch  2, Batch    639, Loss  0.867352, Average Loss  0.871299, Time  0.240242
2021-09-16 02:32:21.114785 : Epoch  4, Batch   1348, Loss  0.868640, Average Loss  0.869607, Time  0.266166
2021-09-16 02:32:21.460941 : Epoch  2, Batch    640, Loss  0.893050, Average Loss  0.871400, Time  0.242040
2021-09-16 02:32:24.032966 : Epoch  2, Batch    641, Loss  0.870134, Average Loss  0.871318, Time  0.241421
2021-09-16 02:32:24.150966 : Epoch  4, Batch   1349, Loss  0.857098, Average Loss  0.869540, Time  0.265453
2021-09-16 02:32:26.609210 : Epoch  2, Batch    642, Loss  0.863253, Average Loss  0.871259, Time  0.241012
2021-09-16 02:32:27.158701 : Epoch  4, Batch   1350, Loss  0.853147, Average Loss  0.869553, Time  0.266621
2021-09-16 02:32:29.199902 : Epoch  2, Batch    643, Loss  0.864418, Average Loss  0.871286, Time  0.241145
2021-09-16 02:32:30.150134 : Epoch  4, Batch   1351, Loss  0.858238, Average Loss  0.869507, Time  0.265843
2021-09-16 02:32:31.786885 : Epoch  2, Batch    644, Loss  0.854630, Average Loss  0.871293, Time  0.240383
2021-09-16 02:32:33.156878 : Epoch  4, Batch   1352, Loss  0.849762, Average Loss  0.869344, Time  0.265183
2021-09-16 02:32:36.133322 : Epoch  4, Batch   1353, Loss  0.866372, Average Loss  0.869414, Time  0.265683
2021-09-16 02:32:39.152272 : Epoch  4, Batch   1354, Loss  0.880360, Average Loss  0.869509, Time  0.266739
2021-09-16 02:32:42.178151 : Epoch  4, Batch   1355, Loss  0.881616, Average Loss  0.869548, Time  0.267637
2021-09-16 02:32:45.199364 : Epoch  4, Batch   1356, Loss  0.859167, Average Loss  0.869473, Time  0.267167
2021-09-16 02:32:48.207803 : Epoch  4, Batch   1357, Loss  0.881524, Average Loss  0.869461, Time  0.280098
2021-09-16 02:32:51.201732 : Epoch  4, Batch   1358, Loss  0.889246, Average Loss  0.869553, Time  0.265342
2021-09-16 02:32:54.186693 : Epoch  4, Batch   1359, Loss  0.868224, Average Loss  0.869585, Time  0.265808
2021-09-16 02:32:57.173477 : Epoch  4, Batch   1360, Loss  0.856528, Average Loss  0.869595, Time  0.265545
2021-09-16 02:33:00.180032 : Epoch  4, Batch   1361, Loss  0.835816, Average Loss  0.869360, Time  0.266113
2021-09-16 02:33:03.166846 : Epoch  4, Batch   1362, Loss  0.839539, Average Loss  0.869216, Time  0.265194
2021-09-16 02:33:06.147744 : Epoch  4, Batch   1363, Loss  0.861353, Average Loss  0.869201, Time  0.265040
2021-09-16 02:33:09.145404 : Epoch  4, Batch   1364, Loss  0.860804, Average Loss  0.869047, Time  0.265462
2021-09-16 02:33:12.166956 : Epoch  4, Batch   1365, Loss  0.875848, Average Loss  0.869046, Time  0.265293
2021-09-16 02:33:15.171366 : Epoch  4, Batch   1366, Loss  0.846685, Average Loss  0.869004, Time  0.264813
2021-09-16 02:33:18.166888 : Epoch  4, Batch   1367, Loss  0.862940, Average Loss  0.868910, Time  0.266688
2021-09-16 02:33:21.169402 : Epoch  4, Batch   1368, Loss  0.873690, Average Loss  0.868908, Time  0.266770
2021-09-16 02:33:24.180983 : Epoch  4, Batch   1369, Loss  0.878880, Average Loss  0.868907, Time  0.265511
2021-09-16 02:33:27.181029 : Epoch  4, Batch   1370, Loss  0.865812, Average Loss  0.868926, Time  0.265070
2021-09-16 02:33:30.177428 : Epoch  4, Batch   1371, Loss  0.853291, Average Loss  0.868885, Time  0.265246
2021-09-16 02:33:33.211722 : Epoch  4, Batch   1372, Loss  0.855287, Average Loss  0.868713, Time  0.278193
2021-09-16 02:33:36.221003 : Epoch  4, Batch   1373, Loss  0.865758, Average Loss  0.868696, Time  0.265871
2021-09-16 02:33:39.206389 : Epoch  4, Batch   1374, Loss  0.868727, Average Loss  0.868627, Time  0.265723
2021-09-16 02:33:42.190190 : Epoch  4, Batch   1375, Loss  0.865238, Average Loss  0.868648, Time  0.266532
2021-09-16 02:33:45.155994 : Epoch  4, Batch   1376, Loss  0.854532, Average Loss  0.868399, Time  0.266062
2021-09-16 02:33:48.166109 : Epoch  4, Batch   1377, Loss  0.871708, Average Loss  0.868437, Time  0.266674
2021-09-16 02:33:51.154943 : Epoch  4, Batch   1378, Loss  0.881843, Average Loss  0.868492, Time  0.265553
2021-09-16 02:33:54.146523 : Epoch  4, Batch   1379, Loss  0.851486, Average Loss  0.868515, Time  0.265690
2021-09-16 02:33:57.142557 : Epoch  4, Batch   1380, Loss  0.890829, Average Loss  0.868621, Time  0.266384
2021-09-16 02:34:00.143909 : Epoch  4, Batch   1381, Loss  0.871790, Average Loss  0.868730, Time  0.265398
2021-09-16 02:34:03.124761 : Epoch  4, Batch   1382, Loss  0.868896, Average Loss  0.868768, Time  0.265292
2021-09-16 02:34:06.156114 : Epoch  4, Batch   1383, Loss  0.852066, Average Loss  0.868643, Time  0.265371
2021-09-16 02:34:09.138978 : Epoch  4, Batch   1384, Loss  0.871127, Average Loss  0.868625, Time  0.265186
2021-09-16 02:34:12.128064 : Epoch  4, Batch   1385, Loss  0.884337, Average Loss  0.868790, Time  0.266111
2021-09-16 02:34:15.109924 : Epoch  4, Batch   1386, Loss  0.868519, Average Loss  0.868822, Time  0.265467
2021-09-16 02:34:18.089356 : Epoch  4, Batch   1387, Loss  0.836306, Average Loss  0.868672, Time  0.265156
2021-09-16 02:34:21.125496 : Epoch  4, Batch   1388, Loss  0.874612, Average Loss  0.868699, Time  0.279099
2021-09-16 02:34:24.126893 : Epoch  4, Batch   1389, Loss  0.882358, Average Loss  0.868763, Time  0.266015
2021-09-16 02:34:27.097055 : Epoch  4, Batch   1390, Loss  0.866391, Average Loss  0.868704, Time  0.265310
2021-09-16 02:34:30.119025 : Epoch  4, Batch   1391, Loss  0.860491, Average Loss  0.868675, Time  0.267204
2021-09-16 02:34:33.118264 : Epoch  4, Batch   1392, Loss  0.880670, Average Loss  0.868635, Time  0.265066
2021-09-16 02:34:36.110820 : Epoch  4, Batch   1393, Loss  0.887892, Average Loss  0.868810, Time  0.266123
2021-09-16 02:34:39.107139 : Epoch  4, Batch   1394, Loss  0.867111, Average Loss  0.868727, Time  0.267099
2021-09-16 02:34:42.083747 : Epoch  4, Batch   1395, Loss  0.860192, Average Loss  0.868802, Time  0.266296
2021-09-16 02:34:45.061966 : Epoch  4, Batch   1396, Loss  0.866614, Average Loss  0.868733, Time  0.267479
2021-09-16 02:34:48.078563 : Epoch  4, Batch   1397, Loss  0.853055, Average Loss  0.868677, Time  0.266608
2021-09-16 02:34:51.069028 : Epoch  4, Batch   1398, Loss  0.887097, Average Loss  0.868741, Time  0.265766
2021-09-16 02:34:54.066342 : Epoch  4, Batch   1399, Loss  0.881869, Average Loss  0.868780, Time  0.266498
2021-09-16 02:34:57.049690 : Epoch  4, Batch   1400, Loss  0.876772, Average Loss  0.868780, Time  0.265543
2021-09-16 02:35:00.032370 : Epoch  4, Batch   1401, Loss  0.865592, Average Loss  0.868809, Time  0.265767
2021-09-16 02:35:03.012419 : Epoch  4, Batch   1402, Loss  0.888394, Average Loss  0.868879, Time  0.265781
2021-09-16 02:35:06.013493 : Epoch  4, Batch   1403, Loss  0.855039, Average Loss  0.868850, Time  0.265255
2021-09-16 02:35:09.015348 : Epoch  4, Batch   1404, Loss  0.867635, Average Loss  0.868887, Time  0.276803
2021-09-16 02:35:12.016556 : Epoch  4, Batch   1405, Loss  0.848785, Average Loss  0.868727, Time  0.266165
2021-09-16 02:35:15.032517 : Epoch  4, Batch   1406, Loss  0.858097, Average Loss  0.868616, Time  0.265421
2021-09-16 02:35:18.017595 : Epoch  4, Batch   1407, Loss  0.885464, Average Loss  0.868757, Time  0.265939
2021-09-16 02:35:21.013341 : Epoch  4, Batch   1408, Loss  0.885289, Average Loss  0.868795, Time  0.265559
2021-09-16 02:35:23.990021 : Epoch  4, Batch   1409, Loss  0.859957, Average Loss  0.868778, Time  0.265196
2021-09-16 02:35:26.988711 : Epoch  4, Batch   1410, Loss  0.879378, Average Loss  0.868727, Time  0.265752
2021-09-16 02:35:29.978920 : Epoch  4, Batch   1411, Loss  0.881562, Average Loss  0.868831, Time  0.265400
2021-09-16 02:35:32.960691 : Epoch  4, Batch   1412, Loss  0.865148, Average Loss  0.868761, Time  0.266446
2021-09-16 02:35:35.957915 : Epoch  4, Batch   1413, Loss  0.861982, Average Loss  0.868749, Time  0.264974
2021-09-16 02:35:38.954057 : Epoch  4, Batch   1414, Loss  0.866768, Average Loss  0.868696, Time  0.265677
2021-09-16 02:35:41.952488 : Epoch  4, Batch   1415, Loss  0.863094, Average Loss  0.868522, Time  0.267577
2021-09-16 02:35:44.947656 : Epoch  4, Batch   1416, Loss  0.865365, Average Loss  0.868516, Time  0.266254
2021-09-16 02:35:47.930744 : Epoch  4, Batch   1417, Loss  0.843701, Average Loss  0.868405, Time  0.265506
2021-09-16 02:35:50.935891 : Epoch  4, Batch   1418, Loss  0.860712, Average Loss  0.868229, Time  0.266297
2021-09-16 02:35:53.947088 : Epoch  4, Batch   1419, Loss  0.871446, Average Loss  0.868251, Time  0.278619
2021-09-16 02:35:56.955005 : Epoch  4, Batch   1420, Loss  0.863125, Average Loss  0.868214, Time  0.265746
2021-09-16 02:35:59.928171 : Epoch  4, Batch   1421, Loss  0.896547, Average Loss  0.868492, Time  0.266233
2021-09-16 02:36:02.899363 : Epoch  4, Batch   1422, Loss  0.860017, Average Loss  0.868467, Time  0.265251
2021-09-16 02:36:05.885398 : Epoch  4, Batch   1423, Loss  0.868599, Average Loss  0.868436, Time  0.265408
2021-09-16 02:36:08.853488 : Epoch  4, Batch   1424, Loss  0.882097, Average Loss  0.868511, Time  0.265816
2021-09-16 02:36:11.840451 : Epoch  4, Batch   1425, Loss  0.877174, Average Loss  0.868603, Time  0.265206
2021-09-16 02:36:14.851021 : Epoch  4, Batch   1426, Loss  0.831008, Average Loss  0.868344, Time  0.267158
2021-09-16 02:36:17.857020 : Epoch  4, Batch   1427, Loss  0.862138, Average Loss  0.868145, Time  0.265052
2021-09-16 02:36:20.836516 : Epoch  4, Batch   1428, Loss  0.876095, Average Loss  0.868082, Time  0.265576
2021-09-16 02:36:23.826514 : Epoch  4, Batch   1429, Loss  0.852269, Average Loss  0.868043, Time  0.266060
2021-09-16 02:36:26.830814 : Epoch  4, Batch   1430, Loss  0.872647, Average Loss  0.868200, Time  0.265568
2021-09-16 02:36:29.812345 : Epoch  4, Batch   1431, Loss  0.863021, Average Loss  0.868135, Time  0.265229
2021-09-16 02:36:34.102742 : CheckPoint: Validation Loss  0.00030280, Best Loss  0.00029477
2021-09-16 02:36:36.713866 : Epoch  2, Batch    645, Loss  0.857092, Average Loss  0.871180, Time  0.265200
2021-09-16 02:36:39.293139 : Epoch  2, Batch    646, Loss  0.866109, Average Loss  0.871192, Time  0.242430
2021-09-16 02:36:40.779643 : Epoch  4, Batch   1432, Loss  0.850471, Average Loss  0.867932, Time  0.275606
2021-09-16 02:36:41.863333 : Epoch  2, Batch    647, Loss  0.878213, Average Loss  0.871202, Time  0.239413
2021-09-16 02:36:44.454827 : Epoch  2, Batch    648, Loss  0.875091, Average Loss  0.871321, Time  0.242282
2021-09-16 02:36:47.035392 : Epoch  2, Batch    649, Loss  0.875913, Average Loss  0.871411, Time  0.239728
2021-09-16 02:36:49.618094 : Epoch  2, Batch    650, Loss  0.881360, Average Loss  0.871435, Time  0.240406
2021-09-16 02:36:52.231254 : Epoch  2, Batch    651, Loss  0.882783, Average Loss  0.871417, Time  0.240654
2021-09-16 02:36:54.821048 : Epoch  2, Batch    652, Loss  0.860327, Average Loss  0.871283, Time  0.240717
2021-09-16 02:36:57.412059 : Epoch  2, Batch    653, Loss  0.863461, Average Loss  0.871152, Time  0.240254
2021-09-16 02:36:59.987707 : Epoch  2, Batch    654, Loss  0.878605, Average Loss  0.871224, Time  0.242337
2021-09-16 02:37:02.559158 : Epoch  2, Batch    655, Loss  0.864393, Average Loss  0.871297, Time  0.241997
2021-09-16 02:37:05.139151 : Epoch  2, Batch    656, Loss  0.879739, Average Loss  0.871399, Time  0.241176
2021-09-16 02:37:07.717106 : Epoch  2, Batch    657, Loss  0.878838, Average Loss  0.871409, Time  0.240805
2021-09-16 02:37:10.299054 : Epoch  2, Batch    658, Loss  0.874882, Average Loss  0.871347, Time  0.240305
2021-09-16 02:37:12.877320 : Epoch  2, Batch    659, Loss  0.856825, Average Loss  0.871269, Time  0.240289
2021-09-16 02:37:15.456527 : Epoch  2, Batch    660, Loss  0.877452, Average Loss  0.871349, Time  0.240718
2021-09-16 02:37:18.042935 : Epoch  2, Batch    661, Loss  0.870821, Average Loss  0.871359, Time  0.242196
2021-09-16 02:37:20.624548 : Epoch  2, Batch    662, Loss  0.858098, Average Loss  0.871349, Time  0.240339
2021-09-16 02:37:23.208995 : Epoch  2, Batch    663, Loss  0.865504, Average Loss  0.871395, Time  0.241128
2021-09-16 02:37:25.786078 : Epoch  2, Batch    664, Loss  0.874224, Average Loss  0.871457, Time  0.240488
2021-09-16 02:37:28.382917 : Epoch  2, Batch    665, Loss  0.850942, Average Loss  0.871304, Time  0.240160
2021-09-16 02:37:30.966094 : Epoch  2, Batch    666, Loss  0.869772, Average Loss  0.871198, Time  0.240302
2021-09-16 02:37:33.546197 : Epoch  2, Batch    667, Loss  0.857236, Average Loss  0.871156, Time  0.240734
2021-09-16 02:37:36.130918 : Epoch  2, Batch    668, Loss  0.875804, Average Loss  0.871194, Time  0.242549
2021-09-16 02:37:38.705821 : Epoch  2, Batch    669, Loss  0.851146, Average Loss  0.871040, Time  0.240564
2021-09-16 02:37:41.283436 : Epoch  2, Batch    670, Loss  0.887319, Average Loss  0.871107, Time  0.239704
2021-09-16 02:37:43.858943 : Epoch  2, Batch    671, Loss  0.870077, Average Loss  0.871066, Time  0.241225
2021-09-16 02:37:46.446234 : Epoch  2, Batch    672, Loss  0.867305, Average Loss  0.871055, Time  0.239970
2021-09-16 02:37:49.038568 : Epoch  2, Batch    673, Loss  0.876679, Average Loss  0.871071, Time  0.240200
2021-09-16 02:37:51.604531 : Epoch  2, Batch    674, Loss  0.884477, Average Loss  0.871165, Time  0.240748
2021-09-16 02:37:54.173683 : Epoch  2, Batch    675, Loss  0.898919, Average Loss  0.871332, Time  0.239800
2021-09-16 02:37:56.752447 : Epoch  2, Batch    676, Loss  0.881175, Average Loss  0.871366, Time  0.240862
2021-09-16 02:37:59.335394 : Epoch  2, Batch    677, Loss  0.868108, Average Loss  0.871329, Time  0.240915
2021-09-16 02:38:01.917403 : Epoch  2, Batch    678, Loss  0.871082, Average Loss  0.871390, Time  0.240032
2021-09-16 02:38:04.493201 : Epoch  2, Batch    679, Loss  0.864447, Average Loss  0.871379, Time  0.241754
2021-09-16 02:38:07.053109 : Epoch  2, Batch    680, Loss  0.887033, Average Loss  0.871433, Time  0.241031
2021-09-16 02:38:09.632462 : Epoch  2, Batch    681, Loss  0.860316, Average Loss  0.871408, Time  0.240474
2021-09-16 02:38:12.214739 : Epoch  2, Batch    682, Loss  0.884314, Average Loss  0.871475, Time  0.239908
2021-09-16 02:38:14.790089 : Epoch  2, Batch    683, Loss  0.872351, Average Loss  0.871445, Time  0.240491
2021-09-16 02:38:17.362272 : Epoch  2, Batch    684, Loss  0.878979, Average Loss  0.871548, Time  0.240243
2021-09-16 02:38:19.940060 : Epoch  2, Batch    685, Loss  0.875609, Average Loss  0.871662, Time  0.240250
2021-09-16 02:38:22.526454 : Epoch  2, Batch    686, Loss  0.872199, Average Loss  0.871668, Time  0.239990
2021-09-16 02:38:25.094056 : Epoch  2, Batch    687, Loss  0.874839, Average Loss  0.871616, Time  0.240048
2021-09-16 02:38:27.672961 : Epoch  2, Batch    688, Loss  0.856910, Average Loss  0.871553, Time  0.243521
2021-09-16 02:38:30.242103 : Epoch  2, Batch    689, Loss  0.854870, Average Loss  0.871471, Time  0.241063
2021-09-16 02:38:32.813909 : Epoch  2, Batch    690, Loss  0.873791, Average Loss  0.871444, Time  0.240973
2021-09-16 02:38:35.389481 : Epoch  2, Batch    691, Loss  0.858253, Average Loss  0.871495, Time  0.240990
2021-09-16 02:38:37.972045 : Epoch  2, Batch    692, Loss  0.882017, Average Loss  0.871463, Time  0.240643
2021-09-16 02:38:40.545104 : Epoch  2, Batch    693, Loss  0.859239, Average Loss  0.871434, Time  0.240957
2021-09-16 02:38:43.113981 : Epoch  2, Batch    694, Loss  0.856256, Average Loss  0.871327, Time  0.240331
2021-09-16 02:38:45.697070 : Epoch  2, Batch    695, Loss  0.864340, Average Loss  0.871250, Time  0.240606
2021-09-16 02:38:48.286842 : Epoch  2, Batch    696, Loss  0.879908, Average Loss  0.871315, Time  0.241410
2021-09-16 02:38:50.877020 : Epoch  2, Batch    697, Loss  0.864440, Average Loss  0.871289, Time  0.241244
2021-09-16 02:38:53.460213 : Epoch  2, Batch    698, Loss  0.877604, Average Loss  0.871318, Time  0.240630
2021-09-16 02:38:56.039445 : Epoch  2, Batch    699, Loss  0.878433, Average Loss  0.871349, Time  0.240112
2021-09-16 02:38:58.618416 : Epoch  2, Batch    700, Loss  0.891795, Average Loss  0.871386, Time  0.240225
2021-09-16 02:39:01.209447 : Epoch  2, Batch    701, Loss  0.869825, Average Loss  0.871401, Time  0.241512
2021-09-16 02:39:03.791954 : Epoch  2, Batch    702, Loss  0.895318, Average Loss  0.871422, Time  0.240330
2021-09-16 02:39:06.381510 : Epoch  2, Batch    703, Loss  0.874623, Average Loss  0.871423, Time  0.241531
2021-09-16 02:39:08.954838 : Epoch  2, Batch    704, Loss  0.880341, Average Loss  0.871433, Time  0.240027
2021-09-16 02:39:11.533603 : Epoch  2, Batch    705, Loss  0.891641, Average Loss  0.871484, Time  0.240039
2021-09-16 02:39:14.117155 : Epoch  2, Batch    706, Loss  0.871886, Average Loss  0.871536, Time  0.240554
2021-09-16 02:39:16.706559 : Epoch  2, Batch    707, Loss  0.866888, Average Loss  0.871427, Time  0.243924
2021-09-16 02:39:19.286287 : Epoch  2, Batch    708, Loss  0.855861, Average Loss  0.871455, Time  0.240259
2021-09-16 02:39:21.870680 : Epoch  2, Batch    709, Loss  0.881553, Average Loss  0.871471, Time  0.239859
2021-09-16 02:39:24.455957 : Epoch  2, Batch    710, Loss  0.874937, Average Loss  0.871493, Time  0.240131
2021-09-16 02:39:27.043836 : Epoch  2, Batch    711, Loss  0.886886, Average Loss  0.871638, Time  0.242280
2021-09-16 02:39:29.639163 : Epoch  2, Batch    712, Loss  0.848904, Average Loss  0.871559, Time  0.240151
2021-09-16 02:39:32.218307 : Epoch  2, Batch    713, Loss  0.886273, Average Loss  0.871470, Time  0.240505
2021-09-16 02:39:34.799683 : Epoch  2, Batch    714, Loss  0.873315, Average Loss  0.871458, Time  0.240741
2021-09-16 02:39:37.381824 : Epoch  2, Batch    715, Loss  0.838396, Average Loss  0.871229, Time  0.240705
2021-09-16 02:39:39.966913 : Epoch  2, Batch    716, Loss  0.871376, Average Loss  0.871219, Time  0.241745
2021-09-16 02:39:42.559660 : Epoch  2, Batch    717, Loss  0.874570, Average Loss  0.871250, Time  0.240508
2021-09-16 02:39:45.144405 : Epoch  2, Batch    718, Loss  0.887416, Average Loss  0.871303, Time  0.242146
2021-09-16 02:39:47.732410 : Epoch  2, Batch    719, Loss  0.875935, Average Loss  0.871221, Time  0.241732
2021-09-16 02:39:50.309322 : Epoch  2, Batch    720, Loss  0.869983, Average Loss  0.871134, Time  0.240109
2021-09-16 02:39:52.897976 : Epoch  2, Batch    721, Loss  0.887799, Average Loss  0.871101, Time  0.243016
2021-09-16 02:39:55.484987 : Epoch  2, Batch    722, Loss  0.872039, Average Loss  0.871106, Time  0.240870
2021-09-16 02:39:58.067702 : Epoch  2, Batch    723, Loss  0.865203, Average Loss  0.871140, Time  0.240159
2021-09-16 02:40:00.648952 : Epoch  2, Batch    724, Loss  0.866591, Average Loss  0.871201, Time  0.241222
2021-09-16 02:40:03.237677 : Epoch  2, Batch    725, Loss  0.848048, Average Loss  0.871099, Time  0.239829
2021-09-16 02:40:05.817344 : Epoch  2, Batch    726, Loss  0.882250, Average Loss  0.871175, Time  0.241443
2021-09-16 02:40:08.400710 : Epoch  2, Batch    727, Loss  0.854059, Average Loss  0.871205, Time  0.241109
2021-09-16 02:40:10.982146 : Epoch  2, Batch    728, Loss  0.868837, Average Loss  0.871106, Time  0.240052
2021-09-16 02:40:13.573429 : Epoch  2, Batch    729, Loss  0.875219, Average Loss  0.871157, Time  0.241763
2021-09-16 02:40:16.166018 : Epoch  2, Batch    730, Loss  0.867495, Average Loss  0.871064, Time  0.240887
2021-09-16 02:40:18.751999 : Epoch  2, Batch    731, Loss  0.877805, Average Loss  0.871166, Time  0.240711
2021-09-16 02:40:21.363570 : Epoch  2, Batch    732, Loss  0.893906, Average Loss  0.871341, Time  0.240450
2021-09-16 02:40:23.943111 : Epoch  2, Batch    733, Loss  0.869927, Average Loss  0.871295, Time  0.240064
2021-09-16 02:40:26.525347 : Epoch  2, Batch    734, Loss  0.856604, Average Loss  0.871134, Time  0.239683
2021-09-16 02:40:29.107030 : Epoch  2, Batch    735, Loss  0.878481, Average Loss  0.871132, Time  0.241599
2021-09-16 02:40:31.684889 : Epoch  2, Batch    736, Loss  0.884970, Average Loss  0.871114, Time  0.239947
2021-09-16 02:40:34.289066 : Epoch  2, Batch    737, Loss  0.880243, Average Loss  0.871206, Time  0.240044
2021-09-16 02:40:36.877126 : Epoch  2, Batch    738, Loss  0.868620, Average Loss  0.871166, Time  0.239980
2021-09-16 02:40:39.453054 : Epoch  2, Batch    739, Loss  0.879988, Average Loss  0.871242, Time  0.240656
2021-09-16 02:40:42.034409 : Epoch  2, Batch    740, Loss  0.843999, Average Loss  0.870959, Time  0.240857
2021-09-16 02:40:44.612844 : Epoch  2, Batch    741, Loss  0.864906, Average Loss  0.870930, Time  0.240236
2021-09-16 02:40:47.180461 : Epoch  2, Batch    742, Loss  0.880122, Average Loss  0.870870, Time  0.240418
2021-09-16 02:40:49.762667 : Epoch  2, Batch    743, Loss  0.868292, Average Loss  0.870817, Time  0.241163
2021-09-16 02:40:52.341618 : Epoch  2, Batch    744, Loss  0.877565, Average Loss  0.870776, Time  0.240319
2021-09-16 02:41:18.205744 : CheckPoint: Validation Loss  0.00030777, Best Loss  0.00029379
2021-09-16 02:41:21.216203 : Epoch  4, Batch   1433, Loss  0.871073, Average Loss  0.867986, Time  0.272544
2021-09-16 02:41:24.197202 : Epoch  4, Batch   1434, Loss  0.867951, Average Loss  0.867976, Time  0.265965
2021-09-16 02:41:27.186199 : Epoch  4, Batch   1435, Loss  0.857553, Average Loss  0.867921, Time  0.266378
2021-09-16 02:41:30.174635 : Epoch  4, Batch   1436, Loss  0.860515, Average Loss  0.867813, Time  0.266174
2021-09-16 02:41:33.149303 : Epoch  4, Batch   1437, Loss  0.862688, Average Loss  0.867903, Time  0.266043
2021-09-16 02:41:36.135755 : Epoch  4, Batch   1438, Loss  0.871646, Average Loss  0.867927, Time  0.268574
2021-09-16 02:41:39.147518 : Epoch  4, Batch   1439, Loss  0.855567, Average Loss  0.867857, Time  0.265283
2021-09-16 02:41:42.132140 : Epoch  4, Batch   1440, Loss  0.865336, Average Loss  0.867820, Time  0.265260
2021-09-16 02:41:45.111416 : Epoch  4, Batch   1441, Loss  0.881833, Average Loss  0.867756, Time  0.265083
2021-09-16 02:41:48.085237 : Epoch  4, Batch   1442, Loss  0.851126, Average Loss  0.867730, Time  0.266151
2021-09-16 02:41:51.106195 : Epoch  4, Batch   1443, Loss  0.861509, Average Loss  0.867586, Time  0.264996
2021-09-16 02:41:54.083875 : Epoch  4, Batch   1444, Loss  0.849296, Average Loss  0.867470, Time  0.265183
2021-09-16 02:41:57.067492 : Epoch  4, Batch   1445, Loss  0.878455, Average Loss  0.867618, Time  0.265713
2021-09-16 02:42:00.070523 : Epoch  4, Batch   1446, Loss  0.889886, Average Loss  0.867708, Time  0.265887
2021-09-16 02:42:03.106625 : Epoch  4, Batch   1447, Loss  0.859431, Average Loss  0.867786, Time  0.278569
2021-09-16 02:42:06.124274 : Epoch  4, Batch   1448, Loss  0.862212, Average Loss  0.867866, Time  0.266301
2021-09-16 02:42:09.104201 : Epoch  4, Batch   1449, Loss  0.873355, Average Loss  0.867895, Time  0.265299
2021-09-16 02:42:12.093906 : Epoch  4, Batch   1450, Loss  0.881552, Average Loss  0.867886, Time  0.265004
2021-09-16 02:42:15.148318 : Epoch  4, Batch   1451, Loss  0.889553, Average Loss  0.868057, Time  0.266915
2021-09-16 02:42:18.216701 : Epoch  4, Batch   1452, Loss  0.888183, Average Loss  0.868215, Time  0.266583
2021-09-16 02:42:21.219694 : Epoch  4, Batch   1453, Loss  0.858391, Average Loss  0.868212, Time  0.266178
2021-09-16 02:42:24.212765 : Epoch  4, Batch   1454, Loss  0.879150, Average Loss  0.868189, Time  0.266293
2021-09-16 02:42:27.203528 : Epoch  4, Batch   1455, Loss  0.852407, Average Loss  0.868116, Time  0.266865
2021-09-16 02:42:30.230611 : Epoch  4, Batch   1456, Loss  0.850098, Average Loss  0.868058, Time  0.266044
2021-09-16 02:42:33.208954 : Epoch  4, Batch   1457, Loss  0.864843, Average Loss  0.868150, Time  0.265408
2021-09-16 02:42:36.197758 : Epoch  4, Batch   1458, Loss  0.861857, Average Loss  0.868116, Time  0.265491
2021-09-16 02:42:39.173700 : Epoch  4, Batch   1459, Loss  0.874259, Average Loss  0.868212, Time  0.264878
2021-09-16 02:42:42.190168 : Epoch  4, Batch   1460, Loss  0.850771, Average Loss  0.868106, Time  0.268704
2021-09-16 02:42:45.216769 : Epoch  4, Batch   1461, Loss  0.890375, Average Loss  0.868278, Time  0.266966
2021-09-16 02:42:48.161352 : Epoch  4, Batch   1462, Loss  0.846437, Average Loss  0.868184, Time  0.270545
2021-09-16 02:42:51.158986 : Epoch  4, Batch   1463, Loss  0.869689, Average Loss  0.868125, Time  0.266278
2021-09-16 02:42:54.176198 : Epoch  4, Batch   1464, Loss  0.854637, Average Loss  0.868085, Time  0.265313
2021-09-16 02:42:57.175553 : Epoch  4, Batch   1465, Loss  0.871118, Average Loss  0.868162, Time  0.265197
2021-09-16 02:43:00.165142 : Epoch  4, Batch   1466, Loss  0.865882, Average Loss  0.868109, Time  0.265928
2021-09-16 02:43:03.147429 : Epoch  4, Batch   1467, Loss  0.882552, Average Loss  0.868156, Time  0.264877
2021-09-16 02:43:06.146165 : Epoch  4, Batch   1468, Loss  0.880906, Average Loss  0.868205, Time  0.265916
2021-09-16 02:43:09.159053 : Epoch  4, Batch   1469, Loss  0.863038, Average Loss  0.868191, Time  0.265223
2021-09-16 02:43:12.139845 : Epoch  4, Batch   1470, Loss  0.900965, Average Loss  0.868279, Time  0.266125
2021-09-16 02:43:15.151752 : Epoch  4, Batch   1471, Loss  0.869078, Average Loss  0.868301, Time  0.265661
2021-09-16 02:43:18.167870 : Epoch  4, Batch   1472, Loss  0.879568, Average Loss  0.868276, Time  0.265728
2021-09-16 02:43:21.159372 : Epoch  4, Batch   1473, Loss  0.875864, Average Loss  0.868286, Time  0.265422
2021-09-16 02:43:24.085925 : Epoch  4, Batch   1474, Loss  0.867184, Average Loss  0.868219, Time  0.266201
2021-09-16 02:43:27.106311 : Epoch  4, Batch   1475, Loss  0.873885, Average Loss  0.868195, Time  0.265651
2021-09-16 02:43:30.109758 : Epoch  4, Batch   1476, Loss  0.869344, Average Loss  0.868168, Time  0.266424
2021-09-16 02:43:33.087962 : Epoch  4, Batch   1477, Loss  0.874515, Average Loss  0.868319, Time  0.266778
2021-09-16 02:43:36.132476 : Epoch  4, Batch   1478, Loss  0.872033, Average Loss  0.868488, Time  0.273318
2021-09-16 02:43:39.112681 : Epoch  4, Batch   1479, Loss  0.880493, Average Loss  0.868431, Time  0.265923
2021-09-16 02:43:42.100043 : Epoch  4, Batch   1480, Loss  0.867016, Average Loss  0.868395, Time  0.265961
2021-09-16 02:43:45.084312 : Epoch  4, Batch   1481, Loss  0.867119, Average Loss  0.868390, Time  0.265090
2021-09-16 02:43:48.044445 : Epoch  4, Batch   1482, Loss  0.863045, Average Loss  0.868528, Time  0.264751
2021-09-16 02:43:51.057016 : Epoch  4, Batch   1483, Loss  0.876501, Average Loss  0.868501, Time  0.265278
2021-09-16 02:43:54.094760 : Epoch  4, Batch   1484, Loss  0.880362, Average Loss  0.868479, Time  0.265989
2021-09-16 02:43:57.104403 : Epoch  4, Batch   1485, Loss  0.863048, Average Loss  0.868426, Time  0.265650
2021-09-16 02:44:00.082837 : Epoch  4, Batch   1486, Loss  0.864768, Average Loss  0.868444, Time  0.265937
2021-09-16 02:44:03.070660 : Epoch  4, Batch   1487, Loss  0.854689, Average Loss  0.868388, Time  0.264978
2021-09-16 02:44:06.059688 : Epoch  4, Batch   1488, Loss  0.864207, Average Loss  0.868364, Time  0.265227
2021-09-16 02:44:09.082379 : Epoch  4, Batch   1489, Loss  0.883078, Average Loss  0.868355, Time  0.266258
2021-09-16 02:44:12.067300 : Epoch  4, Batch   1490, Loss  0.878528, Average Loss  0.868377, Time  0.265189
2021-09-16 02:44:15.042391 : Epoch  4, Batch   1491, Loss  0.860241, Average Loss  0.868246, Time  0.265588
2021-09-16 02:44:18.008275 : Epoch  4, Batch   1492, Loss  0.852522, Average Loss  0.868194, Time  0.265151
2021-09-16 02:44:21.004028 : Epoch  4, Batch   1493, Loss  0.875642, Average Loss  0.868224, Time  0.278487
2021-09-16 02:44:23.990637 : Epoch  4, Batch   1494, Loss  0.873277, Average Loss  0.868324, Time  0.268343
2021-09-16 02:44:26.992806 : Epoch  4, Batch   1495, Loss  0.869865, Average Loss  0.868361, Time  0.266328
2021-09-16 02:44:29.976981 : Epoch  4, Batch   1496, Loss  0.877901, Average Loss  0.868399, Time  0.265337
2021-09-16 02:44:32.995696 : Epoch  4, Batch   1497, Loss  0.867799, Average Loss  0.868386, Time  0.266617
2021-09-16 02:44:36.007490 : Epoch  4, Batch   1498, Loss  0.852556, Average Loss  0.868310, Time  0.266127
2021-09-16 02:44:38.993183 : Epoch  4, Batch   1499, Loss  0.863326, Average Loss  0.868263, Time  0.266678
2021-09-16 02:44:41.995228 : Epoch  4, Batch   1500, Loss  0.880320, Average Loss  0.868210, Time  0.265761
2021-09-16 02:44:45.013264 : Epoch  4, Batch   1501, Loss  0.855162, Average Loss  0.868189, Time  0.266104
2021-09-16 02:44:48.010483 : Epoch  4, Batch   1502, Loss  0.878353, Average Loss  0.868374, Time  0.265228
2021-09-16 02:44:50.997842 : Epoch  4, Batch   1503, Loss  0.864804, Average Loss  0.868391, Time  0.265457
2021-09-16 02:44:53.998725 : Epoch  4, Batch   1504, Loss  0.867035, Average Loss  0.868280, Time  0.266046
2021-09-16 02:44:54.917292 : CheckPoint: Validation Loss  0.00030089, Best Loss  0.00029477
2021-09-16 02:44:56.976903 : Epoch  4, Batch   1505, Loss  0.848952, Average Loss  0.868171, Time  0.266026
2021-09-16 02:44:57.546266 : Epoch  2, Batch    745, Loss  0.875569, Average Loss  0.870919, Time  0.278946
2021-09-16 02:44:59.958793 : Epoch  4, Batch   1506, Loss  0.874691, Average Loss  0.868208, Time  0.265501
2021-09-16 02:45:00.187990 : Epoch  2, Batch    746, Loss  0.895082, Average Loss  0.871072, Time  0.262522
2021-09-16 02:45:02.772141 : Epoch  2, Batch    747, Loss  0.868046, Average Loss  0.871063, Time  0.244597
2021-09-16 02:45:02.938238 : Epoch  4, Batch   1507, Loss  0.883468, Average Loss  0.868222, Time  0.266046
2021-09-16 02:45:05.366963 : Epoch  2, Batch    748, Loss  0.868364, Average Loss  0.871183, Time  0.240641
2021-09-16 02:45:05.922253 : Epoch  4, Batch   1508, Loss  0.842315, Average Loss  0.868115, Time  0.277658
2021-09-16 02:45:07.957896 : Epoch  2, Batch    749, Loss  0.868726, Average Loss  0.871167, Time  0.240035
2021-09-16 02:45:08.925210 : Epoch  4, Batch   1509, Loss  0.860519, Average Loss  0.868094, Time  0.266698
2021-09-16 02:45:10.548876 : Epoch  2, Batch    750, Loss  0.882138, Average Loss  0.871219, Time  0.240738
2021-09-16 02:45:11.950243 : Epoch  4, Batch   1510, Loss  0.856688, Average Loss  0.867977, Time  0.266687
2021-09-16 02:45:13.142753 : Epoch  2, Batch    751, Loss  0.881388, Average Loss  0.871281, Time  0.240882
2021-09-16 02:45:14.966006 : Epoch  4, Batch   1511, Loss  0.862894, Average Loss  0.867981, Time  0.265689
2021-09-16 02:45:15.741406 : Epoch  2, Batch    752, Loss  0.866498, Average Loss  0.871262, Time  0.242309
2021-09-16 02:45:17.951697 : Epoch  4, Batch   1512, Loss  0.859918, Average Loss  0.867956, Time  0.266170
2021-09-16 02:45:18.332120 : Epoch  2, Batch    753, Loss  0.876790, Average Loss  0.871217, Time  0.240586
2021-09-16 02:45:20.914471 : Epoch  2, Batch    754, Loss  0.852326, Average Loss  0.871218, Time  0.240471
2021-09-16 02:45:20.934125 : Epoch  4, Batch   1513, Loss  0.894804, Average Loss  0.868157, Time  0.266161
2021-09-16 02:45:23.503223 : Epoch  2, Batch    755, Loss  0.866695, Average Loss  0.871242, Time  0.240378
2021-09-16 02:45:23.959760 : Epoch  4, Batch   1514, Loss  0.875566, Average Loss  0.868190, Time  0.266624
2021-09-16 02:45:26.087390 : Epoch  2, Batch    756, Loss  0.882133, Average Loss  0.871336, Time  0.241277
2021-09-16 02:45:26.973463 : Epoch  4, Batch   1515, Loss  0.895079, Average Loss  0.868309, Time  0.266361
2021-09-16 02:45:28.696867 : Epoch  2, Batch    757, Loss  0.882180, Average Loss  0.871381, Time  0.239912
2021-09-16 02:45:30.004442 : Epoch  4, Batch   1516, Loss  0.866277, Average Loss  0.868260, Time  0.266404
2021-09-16 02:45:31.285727 : Epoch  2, Batch    758, Loss  0.875671, Average Loss  0.871366, Time  0.240249
2021-09-16 02:45:33.023098 : Epoch  4, Batch   1517, Loss  0.870161, Average Loss  0.868309, Time  0.265969
2021-09-16 02:45:33.871124 : Epoch  2, Batch    759, Loss  0.879196, Average Loss  0.871443, Time  0.239622
2021-09-16 02:45:36.022590 : Epoch  4, Batch   1518, Loss  0.873752, Average Loss  0.868221, Time  0.266048
2021-09-16 02:45:36.462497 : Epoch  2, Batch    760, Loss  0.898884, Average Loss  0.871442, Time  0.241068
2021-09-16 02:45:39.002296 : Epoch  4, Batch   1519, Loss  0.896152, Average Loss  0.868410, Time  0.265511
2021-09-16 02:45:39.047685 : Epoch  2, Batch    761, Loss  0.868951, Average Loss  0.871384, Time  0.239838
2021-09-16 02:45:41.645174 : Epoch  2, Batch    762, Loss  0.853666, Average Loss  0.871347, Time  0.241072
2021-09-16 02:45:42.002184 : Epoch  4, Batch   1520, Loss  0.862561, Average Loss  0.868370, Time  0.267316
2021-09-16 02:45:44.243220 : Epoch  2, Batch    763, Loss  0.887450, Average Loss  0.871314, Time  0.241223
2021-09-16 02:45:45.012203 : Epoch  4, Batch   1521, Loss  0.875085, Average Loss  0.868438, Time  0.265748
2021-09-16 02:45:46.834497 : Epoch  2, Batch    764, Loss  0.883212, Average Loss  0.871482, Time  0.240906
2021-09-16 02:45:48.025625 : Epoch  4, Batch   1522, Loss  0.880133, Average Loss  0.868390, Time  0.265973
2021-09-16 02:45:49.442111 : Epoch  2, Batch    765, Loss  0.867621, Average Loss  0.871486, Time  0.240782
2021-09-16 02:45:51.028827 : Epoch  4, Batch   1523, Loss  0.863193, Average Loss  0.868293, Time  0.278676
2021-09-16 02:45:52.028408 : Epoch  2, Batch    766, Loss  0.872434, Average Loss  0.871524, Time  0.240133
2021-09-16 02:45:54.018201 : Epoch  4, Batch   1524, Loss  0.860473, Average Loss  0.868333, Time  0.266638
2021-09-16 02:45:54.614079 : Epoch  2, Batch    767, Loss  0.864083, Average Loss  0.871395, Time  0.240441
2021-09-16 02:45:57.037330 : Epoch  4, Batch   1525, Loss  0.866859, Average Loss  0.868370, Time  0.265435
2021-09-16 02:45:57.217553 : Epoch  2, Batch    768, Loss  0.885643, Average Loss  0.871479, Time  0.240130
2021-09-16 02:45:59.800282 : Epoch  2, Batch    769, Loss  0.859165, Average Loss  0.871441, Time  0.240301
2021-09-16 02:46:00.027621 : Epoch  4, Batch   1526, Loss  0.883822, Average Loss  0.868382, Time  0.265413
2021-09-16 02:46:02.390885 : Epoch  2, Batch    770, Loss  0.871806, Average Loss  0.871464, Time  0.241085
2021-09-16 02:46:03.037616 : Epoch  4, Batch   1527, Loss  0.870067, Average Loss  0.868306, Time  0.265543
2021-09-16 02:46:04.993192 : Epoch  2, Batch    771, Loss  0.852054, Average Loss  0.871205, Time  0.240679
2021-09-16 02:46:06.047890 : Epoch  4, Batch   1528, Loss  0.855262, Average Loss  0.868224, Time  0.264894
2021-09-16 02:46:07.587401 : Epoch  2, Batch    772, Loss  0.867306, Average Loss  0.871263, Time  0.241676
2021-09-16 02:46:09.017224 : Epoch  4, Batch   1529, Loss  0.885580, Average Loss  0.868294, Time  0.265684
2021-09-16 02:46:10.178218 : Epoch  2, Batch    773, Loss  0.875292, Average Loss  0.871264, Time  0.240091
2021-09-16 02:46:11.997430 : Epoch  4, Batch   1530, Loss  0.875118, Average Loss  0.868278, Time  0.266389
2021-09-16 02:46:12.773884 : Epoch  2, Batch    774, Loss  0.859175, Average Loss  0.871211, Time  0.240083
2021-09-16 02:46:15.023541 : Epoch  4, Batch   1531, Loss  0.901389, Average Loss  0.868505, Time  0.265839
2021-09-16 02:46:15.363671 : Epoch  2, Batch    775, Loss  0.859164, Average Loss  0.871137, Time  0.240016
2021-09-16 02:46:17.976199 : Epoch  2, Batch    776, Loss  0.867945, Average Loss  0.871046, Time  0.240405
2021-09-16 02:46:18.053437 : Epoch  4, Batch   1532, Loss  0.856282, Average Loss  0.868470, Time  0.265760
2021-09-16 02:46:20.575130 : Epoch  2, Batch    777, Loss  0.885768, Average Loss  0.871131, Time  0.240338
2021-09-16 02:46:23.160062 : Epoch  2, Batch    778, Loss  0.877746, Average Loss  0.871217, Time  0.242120
2021-09-16 02:46:25.754402 : Epoch  2, Batch    779, Loss  0.897007, Average Loss  0.871233, Time  0.240127
2021-09-16 02:46:28.350073 : Epoch  2, Batch    780, Loss  0.878774, Average Loss  0.871216, Time  0.240193
2021-09-16 02:46:30.937827 : Epoch  2, Batch    781, Loss  0.884580, Average Loss  0.871392, Time  0.241996
2021-09-16 02:46:33.537423 : Epoch  2, Batch    782, Loss  0.881630, Average Loss  0.871519, Time  0.240115
2021-09-16 02:46:36.137913 : Epoch  2, Batch    783, Loss  0.863349, Average Loss  0.871386, Time  0.241567
2021-09-16 02:46:38.733401 : Epoch  2, Batch    784, Loss  0.870537, Average Loss  0.871323, Time  0.241148
2021-09-16 02:46:41.321301 : Epoch  2, Batch    785, Loss  0.847827, Average Loss  0.871192, Time  0.242053
2021-09-16 02:46:43.916949 : Epoch  2, Batch    786, Loss  0.850209, Average Loss  0.871042, Time  0.240656
2021-09-16 02:46:46.517839 : Epoch  2, Batch    787, Loss  0.881817, Average Loss  0.871122, Time  0.242469
2021-09-16 02:46:49.115805 : Epoch  2, Batch    788, Loss  0.879746, Average Loss  0.871287, Time  0.241364
2021-09-16 02:46:51.719626 : Epoch  2, Batch    789, Loss  0.874983, Average Loss  0.871280, Time  0.240877
2021-09-16 02:46:54.312066 : Epoch  2, Batch    790, Loss  0.864462, Average Loss  0.871213, Time  0.241025
2021-09-16 02:46:56.895892 : Epoch  2, Batch    791, Loss  0.885490, Average Loss  0.871305, Time  0.240108
2021-09-16 02:46:59.491425 : Epoch  2, Batch    792, Loss  0.864782, Average Loss  0.871274, Time  0.240052
2021-09-16 02:47:02.083427 : Epoch  2, Batch    793, Loss  0.865880, Average Loss  0.871260, Time  0.240137
2021-09-16 02:47:04.682469 : Epoch  2, Batch    794, Loss  0.875564, Average Loss  0.871387, Time  0.241261
2021-09-16 02:47:07.270104 : Epoch  2, Batch    795, Loss  0.867037, Average Loss  0.871394, Time  0.240252
2021-09-16 02:47:09.862774 : Epoch  2, Batch    796, Loss  0.862681, Average Loss  0.871409, Time  0.243693
2021-09-16 02:47:12.458652 : Epoch  2, Batch    797, Loss  0.859221, Average Loss  0.871341, Time  0.244585
2021-09-16 02:47:15.062872 : Epoch  2, Batch    798, Loss  0.852690, Average Loss  0.871263, Time  0.241739
2021-09-16 02:47:17.647925 : Epoch  2, Batch    799, Loss  0.859140, Average Loss  0.871266, Time  0.240955
2021-09-16 02:47:20.256245 : Epoch  2, Batch    800, Loss  0.890811, Average Loss  0.871419, Time  0.248834
2021-09-16 02:47:22.846623 : Epoch  2, Batch    801, Loss  0.845285, Average Loss  0.871294, Time  0.240227
2021-09-16 02:47:25.440019 : Epoch  2, Batch    802, Loss  0.862763, Average Loss  0.871229, Time  0.241761
2021-09-16 02:47:28.035688 : Epoch  2, Batch    803, Loss  0.879077, Average Loss  0.871256, Time  0.240839
2021-09-16 02:47:30.618337 : Epoch  2, Batch    804, Loss  0.868194, Average Loss  0.871320, Time  0.240712
2021-09-16 02:47:33.218208 : Epoch  2, Batch    805, Loss  0.876311, Average Loss  0.871337, Time  0.240313
2021-09-16 02:47:35.824288 : Epoch  2, Batch    806, Loss  0.870097, Average Loss  0.871278, Time  0.240880
2021-09-16 02:47:38.422715 : Epoch  2, Batch    807, Loss  0.854421, Average Loss  0.871203, Time  0.240643
2021-09-16 02:47:41.015139 : Epoch  2, Batch    808, Loss  0.899796, Average Loss  0.871232, Time  0.240406
2021-09-16 02:47:43.622276 : Epoch  2, Batch    809, Loss  0.850993, Average Loss  0.871137, Time  0.241868
2021-09-16 02:47:46.206159 : Epoch  2, Batch    810, Loss  0.864092, Average Loss  0.871115, Time  0.240388
2021-09-16 02:47:48.804297 : Epoch  2, Batch    811, Loss  0.893290, Average Loss  0.871189, Time  0.240305
2021-09-16 02:47:51.394784 : Epoch  2, Batch    812, Loss  0.890867, Average Loss  0.871245, Time  0.240527
2021-09-16 02:47:53.988996 : Epoch  2, Batch    813, Loss  0.864527, Average Loss  0.871326, Time  0.240124
2021-09-16 02:47:56.576447 : Epoch  2, Batch    814, Loss  0.865042, Average Loss  0.871316, Time  0.240201
2021-09-16 02:47:59.184067 : Epoch  2, Batch    815, Loss  0.855018, Average Loss  0.871235, Time  0.241385
2021-09-16 02:48:01.771811 : Epoch  2, Batch    816, Loss  0.875121, Average Loss  0.871330, Time  0.240673
2021-09-16 02:48:04.361775 : Epoch  2, Batch    817, Loss  0.882431, Average Loss  0.871381, Time  0.239703
2021-09-16 02:48:06.952632 : Epoch  2, Batch    818, Loss  0.874700, Average Loss  0.871368, Time  0.240393
2021-09-16 02:48:09.547852 : Epoch  2, Batch    819, Loss  0.875788, Average Loss  0.871436, Time  0.240809
2021-09-16 02:48:12.135230 : Epoch  2, Batch    820, Loss  0.885670, Average Loss  0.871638, Time  0.240825
2021-09-16 02:48:14.728788 : Epoch  2, Batch    821, Loss  0.864242, Average Loss  0.871708, Time  0.240525
2021-09-16 02:48:17.318858 : Epoch  2, Batch    822, Loss  0.872321, Average Loss  0.871718, Time  0.240976
2021-09-16 02:48:19.904096 : Epoch  2, Batch    823, Loss  0.869432, Average Loss  0.871740, Time  0.240475
2021-09-16 02:48:22.498233 : Epoch  2, Batch    824, Loss  0.865614, Average Loss  0.871615, Time  0.241029
2021-09-16 02:48:25.086891 : Epoch  2, Batch    825, Loss  0.852869, Average Loss  0.871574, Time  0.240925
2021-09-16 02:48:27.679302 : Epoch  2, Batch    826, Loss  0.885027, Average Loss  0.871617, Time  0.241665
2021-09-16 02:48:30.276274 : Epoch  2, Batch    827, Loss  0.879259, Average Loss  0.871690, Time  0.240300
2021-09-16 02:48:32.876990 : Epoch  2, Batch    828, Loss  0.861714, Average Loss  0.871611, Time  0.242675
2021-09-16 02:48:35.473430 : Epoch  2, Batch    829, Loss  0.869273, Average Loss  0.871569, Time  0.240697
2021-09-16 02:48:38.076854 : Epoch  2, Batch    830, Loss  0.869484, Average Loss  0.871443, Time  0.241463
2021-09-16 02:48:40.668364 : Epoch  2, Batch    831, Loss  0.859787, Average Loss  0.871395, Time  0.240648
2021-09-16 02:48:43.276093 : Epoch  2, Batch    832, Loss  0.865876, Average Loss  0.871337, Time  0.242151
2021-09-16 02:48:45.870238 : Epoch  2, Batch    833, Loss  0.848805, Average Loss  0.871310, Time  0.241919
2021-09-16 02:48:48.456095 : Epoch  2, Batch    834, Loss  0.871994, Average Loss  0.871317, Time  0.242697
2021-09-16 02:48:51.052869 : Epoch  2, Batch    835, Loss  0.897740, Average Loss  0.871475, Time  0.241550
2021-09-16 02:48:53.646757 : Epoch  2, Batch    836, Loss  0.874453, Average Loss  0.871594, Time  0.240448
2021-09-16 02:48:56.239050 : Epoch  2, Batch    837, Loss  0.863195, Average Loss  0.871623, Time  0.246028
2021-09-16 02:48:58.831367 : Epoch  2, Batch    838, Loss  0.867799, Average Loss  0.871541, Time  0.240943
2021-09-16 02:49:01.432899 : Epoch  2, Batch    839, Loss  0.875458, Average Loss  0.871582, Time  0.240491
2021-09-16 02:49:04.033791 : Epoch  2, Batch    840, Loss  0.875018, Average Loss  0.871491, Time  0.241336
2021-09-16 02:49:06.627109 : Epoch  2, Batch    841, Loss  0.885541, Average Loss  0.871568, Time  0.240123
2021-09-16 02:49:09.220196 : Epoch  2, Batch    842, Loss  0.874362, Average Loss  0.871624, Time  0.240185
2021-09-16 02:49:11.813405 : Epoch  2, Batch    843, Loss  0.877319, Average Loss  0.871688, Time  0.239772
2021-09-16 02:49:14.402856 : Epoch  2, Batch    844, Loss  0.861072, Average Loss  0.871721, Time  0.242783
2021-09-16 02:50:57.038400 : CheckPoint: Validation Loss  0.00030364, Best Loss  0.00029379
2021-09-16 02:51:00.072858 : Epoch  4, Batch   1533, Loss  0.884544, Average Loss  0.868587, Time  0.268197
2021-09-16 02:51:03.103442 : Epoch  4, Batch   1534, Loss  0.853975, Average Loss  0.868590, Time  0.266124
2021-09-16 02:51:06.130019 : Epoch  4, Batch   1535, Loss  0.887772, Average Loss  0.868738, Time  0.266955
2021-09-16 02:51:09.129147 : Epoch  4, Batch   1536, Loss  0.865069, Average Loss  0.868590, Time  0.266094
2021-09-16 02:51:12.138743 : Epoch  4, Batch   1537, Loss  0.877773, Average Loss  0.868600, Time  0.266957
2021-09-16 02:51:15.141401 : Epoch  4, Batch   1538, Loss  0.859226, Average Loss  0.868432, Time  0.277402
2021-09-16 02:51:18.147249 : Epoch  4, Batch   1539, Loss  0.882542, Average Loss  0.868455, Time  0.266832
2021-09-16 02:51:21.155105 : Epoch  4, Batch   1540, Loss  0.856009, Average Loss  0.868318, Time  0.266139
2021-09-16 02:51:24.140435 : Epoch  4, Batch   1541, Loss  0.888217, Average Loss  0.868370, Time  0.265226
2021-09-16 02:51:27.133754 : Epoch  4, Batch   1542, Loss  0.875271, Average Loss  0.868429, Time  0.265670
2021-09-16 02:51:30.163311 : Epoch  4, Batch   1543, Loss  0.865111, Average Loss  0.868287, Time  0.266181
2021-09-16 02:51:33.156414 : Epoch  4, Batch   1544, Loss  0.876718, Average Loss  0.868455, Time  0.265358
2021-09-16 02:51:36.149485 : Epoch  4, Batch   1545, Loss  0.891830, Average Loss  0.868550, Time  0.265133
2021-09-16 02:51:39.142908 : Epoch  4, Batch   1546, Loss  0.867457, Average Loss  0.868539, Time  0.265264
2021-09-16 02:51:42.106083 : Epoch  4, Batch   1547, Loss  0.867286, Average Loss  0.868559, Time  0.265047
2021-09-16 02:51:45.094692 : Epoch  4, Batch   1548, Loss  0.854493, Average Loss  0.868489, Time  0.265426
2021-09-16 02:51:48.075702 : Epoch  4, Batch   1549, Loss  0.880179, Average Loss  0.868604, Time  0.266439
2021-09-16 02:51:51.099334 : Epoch  4, Batch   1550, Loss  0.881047, Average Loss  0.868743, Time  0.266048
2021-09-16 02:51:54.104651 : Epoch  4, Batch   1551, Loss  0.864370, Average Loss  0.868774, Time  0.265779
2021-09-16 02:51:57.109327 : Epoch  4, Batch   1552, Loss  0.882234, Average Loss  0.868936, Time  0.265673
2021-09-16 02:52:00.106338 : Epoch  4, Batch   1553, Loss  0.863418, Average Loss  0.868922, Time  0.278037
2021-09-16 02:52:03.093976 : Epoch  4, Batch   1554, Loss  0.883597, Average Loss  0.868938, Time  0.266734
2021-09-16 02:52:06.082645 : Epoch  4, Batch   1555, Loss  0.879040, Average Loss  0.868925, Time  0.266723
2021-09-16 02:52:09.093733 : Epoch  4, Batch   1556, Loss  0.862016, Average Loss  0.868939, Time  0.267205
2021-09-16 02:52:12.108372 : Epoch  4, Batch   1557, Loss  0.871598, Average Loss  0.868890, Time  0.267539
2021-09-16 02:52:15.138835 : Epoch  4, Batch   1558, Loss  0.885417, Average Loss  0.868870, Time  0.266296
2021-09-16 02:52:18.152320 : Epoch  4, Batch   1559, Loss  0.870834, Average Loss  0.868884, Time  0.265314
2021-09-16 02:52:21.145976 : Epoch  4, Batch   1560, Loss  0.874627, Average Loss  0.868974, Time  0.265913
2021-09-16 02:52:24.146262 : Epoch  4, Batch   1561, Loss  0.861599, Average Loss  0.869103, Time  0.266987
2021-09-16 02:52:27.149460 : Epoch  4, Batch   1562, Loss  0.859106, Average Loss  0.869201, Time  0.265995
2021-09-16 02:52:30.162013 : Epoch  4, Batch   1563, Loss  0.892345, Average Loss  0.869356, Time  0.265223
2021-09-16 02:52:33.164109 : Epoch  4, Batch   1564, Loss  0.853817, Average Loss  0.869321, Time  0.265096
2021-09-16 02:52:36.148800 : Epoch  4, Batch   1565, Loss  0.885032, Average Loss  0.869367, Time  0.266082
2021-09-16 02:52:39.144092 : Epoch  4, Batch   1566, Loss  0.856596, Average Loss  0.869416, Time  0.266183
2021-09-16 02:52:42.127001 : Epoch  4, Batch   1567, Loss  0.876863, Average Loss  0.869486, Time  0.265436
2021-09-16 02:52:45.124196 : Epoch  4, Batch   1568, Loss  0.861319, Average Loss  0.869424, Time  0.265210
2021-09-16 02:52:48.132996 : Epoch  4, Batch   1569, Loss  0.865887, Average Loss  0.869359, Time  0.273736
2021-09-16 02:52:51.138536 : Epoch  4, Batch   1570, Loss  0.858023, Average Loss  0.869320, Time  0.265764
2021-09-16 02:52:54.128553 : Epoch  4, Batch   1571, Loss  0.863243, Average Loss  0.869370, Time  0.266366
2021-09-16 02:52:57.124207 : Epoch  4, Batch   1572, Loss  0.858880, Average Loss  0.869388, Time  0.265693
2021-09-16 02:53:00.117185 : Epoch  4, Batch   1573, Loss  0.863074, Average Loss  0.869374, Time  0.266580
2021-09-16 02:53:03.139021 : Epoch  4, Batch   1574, Loss  0.830645, Average Loss  0.869184, Time  0.266485
2021-09-16 02:53:06.120104 : Epoch  4, Batch   1575, Loss  0.869479, Average Loss  0.869205, Time  0.264852
2021-09-16 02:53:09.110831 : Epoch  4, Batch   1576, Loss  0.869426, Average Loss  0.869280, Time  0.266785
2021-09-16 02:53:12.109814 : Epoch  4, Batch   1577, Loss  0.878976, Average Loss  0.869316, Time  0.265497
2021-09-16 02:53:15.110331 : Epoch  4, Batch   1578, Loss  0.867509, Average Loss  0.869244, Time  0.266343
2021-09-16 02:53:17.836788 : CheckPoint: Validation Loss  0.00029689, Best Loss  0.00029477
2021-09-16 02:53:18.113635 : Epoch  4, Batch   1579, Loss  0.878055, Average Loss  0.869377, Time  0.266044
2021-09-16 02:53:20.438318 : Epoch  2, Batch    845, Loss  0.877687, Average Loss  0.871824, Time  0.241372
2021-09-16 02:53:21.098317 : Epoch  4, Batch   1580, Loss  0.867990, Average Loss  0.869263, Time  0.267487
2021-09-16 02:53:23.051958 : Epoch  2, Batch    846, Loss  0.864764, Average Loss  0.871817, Time  0.240846
2021-09-16 02:53:24.106123 : Epoch  4, Batch   1581, Loss  0.891211, Average Loss  0.869360, Time  0.266280
2021-09-16 02:53:25.658382 : Epoch  2, Batch    847, Loss  0.881682, Average Loss  0.871834, Time  0.240680
2021-09-16 02:53:27.123372 : Epoch  4, Batch   1582, Loss  0.881331, Average Loss  0.869422, Time  0.266719
2021-09-16 02:53:28.257681 : Epoch  2, Batch    848, Loss  0.873743, Average Loss  0.871828, Time  0.240957
2021-09-16 02:53:30.142508 : Epoch  4, Batch   1583, Loss  0.856176, Average Loss  0.869443, Time  0.265803
2021-09-16 02:53:30.862766 : Epoch  2, Batch    849, Loss  0.874556, Average Loss  0.871821, Time  0.241939
2021-09-16 02:53:33.137033 : Epoch  4, Batch   1584, Loss  0.881774, Average Loss  0.869496, Time  0.278328
2021-09-16 02:53:33.459408 : Epoch  2, Batch    850, Loss  0.860823, Average Loss  0.871718, Time  0.241136
2021-09-16 02:53:36.049422 : Epoch  2, Batch    851, Loss  0.859769, Average Loss  0.871603, Time  0.241249
2021-09-16 02:53:36.133084 : Epoch  4, Batch   1585, Loss  0.865803, Average Loss  0.869403, Time  0.265776
2021-09-16 02:53:38.648431 : Epoch  2, Batch    852, Loss  0.858610, Average Loss  0.871594, Time  0.240229
2021-09-16 02:53:39.134244 : Epoch  4, Batch   1586, Loss  0.870730, Average Loss  0.869414, Time  0.265723
2021-09-16 02:53:41.246901 : Epoch  2, Batch    853, Loss  0.866288, Average Loss  0.871609, Time  0.240659
2021-09-16 02:53:42.112345 : Epoch  4, Batch   1587, Loss  0.878519, Average Loss  0.869626, Time  0.266272
2021-09-16 02:53:43.844460 : Epoch  2, Batch    854, Loss  0.868537, Average Loss  0.871558, Time  0.241639
2021-09-16 02:53:45.115556 : Epoch  4, Batch   1588, Loss  0.884295, Average Loss  0.869674, Time  0.265905
2021-09-16 02:53:46.438678 : Epoch  2, Batch    855, Loss  0.855845, Average Loss  0.871515, Time  0.240302
2021-09-16 02:53:48.102284 : Epoch  4, Batch   1589, Loss  0.863818, Average Loss  0.869581, Time  0.264885
2021-09-16 02:53:49.035341 : Epoch  2, Batch    856, Loss  0.852590, Average Loss  0.871380, Time  0.240190
2021-09-16 02:53:51.101224 : Epoch  4, Batch   1590, Loss  0.879026, Average Loss  0.869644, Time  0.266284
2021-09-16 02:53:51.630280 : Epoch  2, Batch    857, Loss  0.872954, Average Loss  0.871350, Time  0.240803
2021-09-16 02:53:54.090042 : Epoch  4, Batch   1591, Loss  0.877055, Average Loss  0.869727, Time  0.265757
2021-09-16 02:53:54.241752 : Epoch  2, Batch    858, Loss  0.848908, Average Loss  0.871220, Time  0.239864
2021-09-16 02:53:56.835274 : Epoch  2, Batch    859, Loss  0.838030, Average Loss  0.871126, Time  0.240735
2021-09-16 02:53:57.070447 : Epoch  4, Batch   1592, Loss  0.860554, Average Loss  0.869627, Time  0.265764
2021-09-16 02:53:59.473802 : Epoch  2, Batch    860, Loss  0.865830, Average Loss  0.871068, Time  0.240802
2021-09-16 02:54:00.075799 : Epoch  4, Batch   1593, Loss  0.862082, Average Loss  0.869498, Time  0.265444
2021-09-16 02:54:02.079386 : Epoch  2, Batch    861, Loss  0.886917, Average Loss  0.871149, Time  0.241345
2021-09-16 02:54:03.094158 : Epoch  4, Batch   1594, Loss  0.863593, Average Loss  0.869480, Time  0.267193
2021-09-16 02:54:04.678418 : Epoch  2, Batch    862, Loss  0.853192, Average Loss  0.871124, Time  0.240406
2021-09-16 02:54:06.120296 : Epoch  4, Batch   1595, Loss  0.876896, Average Loss  0.869564, Time  0.265926
2021-09-16 02:54:07.270704 : Epoch  2, Batch    863, Loss  0.903211, Average Loss  0.871313, Time  0.239720
2021-09-16 02:54:09.120603 : Epoch  4, Batch   1596, Loss  0.891498, Average Loss  0.869688, Time  0.266564
2021-09-16 02:54:09.873374 : Epoch  2, Batch    864, Loss  0.886023, Average Loss  0.871372, Time  0.240523
2021-09-16 02:54:12.101877 : Epoch  4, Batch   1597, Loss  0.867933, Average Loss  0.869762, Time  0.265577
2021-09-16 02:54:12.467392 : Epoch  2, Batch    865, Loss  0.882722, Average Loss  0.871531, Time  0.241900
2021-09-16 02:54:15.056104 : Epoch  2, Batch    866, Loss  0.854465, Average Loss  0.871454, Time  0.240814
2021-09-16 02:54:15.093502 : Epoch  4, Batch   1598, Loss  0.880084, Average Loss  0.869727, Time  0.266168
2021-09-16 02:54:17.658911 : Epoch  2, Batch    867, Loss  0.853741, Average Loss  0.871437, Time  0.241241
2021-09-16 02:54:18.102131 : Epoch  4, Batch   1599, Loss  0.861832, Average Loss  0.869627, Time  0.278811
2021-09-16 02:54:20.256924 : Epoch  2, Batch    868, Loss  0.882914, Average Loss  0.871472, Time  0.240468
2021-09-16 02:54:21.081787 : Epoch  4, Batch   1600, Loss  0.862203, Average Loss  0.869554, Time  0.266991
2021-09-16 02:54:22.852984 : Epoch  2, Batch    869, Loss  0.878494, Average Loss  0.871609, Time  0.242864
2021-09-16 02:54:24.075162 : Epoch  4, Batch   1601, Loss  0.885444, Average Loss  0.869654, Time  0.265418
2021-09-16 02:54:25.450121 : Epoch  2, Batch    870, Loss  0.845560, Average Loss  0.871400, Time  0.240582
2021-09-16 02:54:27.065749 : Epoch  4, Batch   1602, Loss  0.862433, Average Loss  0.869524, Time  0.265248
2021-09-16 02:54:28.053002 : Epoch  2, Batch    871, Loss  0.883618, Average Loss  0.871468, Time  0.241043
2021-09-16 02:54:30.068002 : Epoch  4, Batch   1603, Loss  0.851939, Average Loss  0.869508, Time  0.265328
2021-09-16 02:54:30.685398 : Epoch  2, Batch    872, Loss  0.876129, Average Loss  0.871512, Time  0.240066
2021-09-16 02:54:33.061382 : Epoch  4, Batch   1604, Loss  0.871780, Average Loss  0.869529, Time  0.266248
2021-09-16 02:54:33.288412 : Epoch  2, Batch    873, Loss  0.863869, Average Loss  0.871448, Time  0.241393
2021-09-16 02:54:35.877826 : Epoch  2, Batch    874, Loss  0.881069, Average Loss  0.871431, Time  0.241034
2021-09-16 02:54:36.058687 : Epoch  4, Batch   1605, Loss  0.867800, Average Loss  0.869624, Time  0.266259
2021-09-16 02:54:38.479930 : Epoch  2, Batch    875, Loss  0.857894, Average Loss  0.871226, Time  0.243163
2021-09-16 02:54:39.058983 : Epoch  4, Batch   1606, Loss  0.865294, Average Loss  0.869660, Time  0.266987
2021-09-16 02:54:41.087880 : Epoch  2, Batch    876, Loss  0.876142, Average Loss  0.871201, Time  0.244269
2021-09-16 02:54:42.080100 : Epoch  4, Batch   1607, Loss  0.864795, Average Loss  0.869557, Time  0.265655
2021-09-16 02:54:43.688755 : Epoch  2, Batch    877, Loss  0.873379, Average Loss  0.871227, Time  0.239964
2021-09-16 02:54:45.096668 : Epoch  4, Batch   1608, Loss  0.871718, Average Loss  0.869489, Time  0.266157
2021-09-16 02:54:46.290845 : Epoch  2, Batch    878, Loss  0.877389, Average Loss  0.871259, Time  0.241847
2021-09-16 02:54:48.072433 : Epoch  4, Batch   1609, Loss  0.854704, Average Loss  0.869463, Time  0.265965
2021-09-16 02:54:48.878993 : Epoch  2, Batch    879, Loss  0.874050, Average Loss  0.871307, Time  0.241081
2021-09-16 02:54:51.085537 : Epoch  4, Batch   1610, Loss  0.854547, Average Loss  0.869338, Time  0.266022
2021-09-16 02:54:51.468340 : Epoch  2, Batch    880, Loss  0.871959, Average Loss  0.871231, Time  0.240067
2021-09-16 02:54:54.048104 : Epoch  2, Batch    881, Loss  0.854013, Average Loss  0.871200, Time  0.241172
2021-09-16 02:54:54.104591 : Epoch  4, Batch   1611, Loss  0.880823, Average Loss  0.869335, Time  0.265267
2021-09-16 02:54:56.636949 : Epoch  2, Batch    882, Loss  0.873330, Average Loss  0.871145, Time  0.240057
2021-09-16 02:54:57.101255 : Epoch  4, Batch   1612, Loss  0.884057, Average Loss  0.869429, Time  0.265396
2021-09-16 02:54:59.227084 : Epoch  2, Batch    883, Loss  0.870406, Average Loss  0.871135, Time  0.240784
2021-09-16 02:55:00.086477 : Epoch  4, Batch   1613, Loss  0.890643, Average Loss  0.869573, Time  0.266668
2021-09-16 02:55:01.824440 : Epoch  2, Batch    884, Loss  0.888293, Average Loss  0.871182, Time  0.240008
2021-09-16 02:55:03.093017 : Epoch  4, Batch   1614, Loss  0.863824, Average Loss  0.869558, Time  0.279293
2021-09-16 02:55:04.414961 : Epoch  2, Batch    885, Loss  0.869737, Average Loss  0.871152, Time  0.240072
2021-09-16 02:55:06.076545 : Epoch  4, Batch   1615, Loss  0.851566, Average Loss  0.869500, Time  0.266595
2021-09-16 02:55:07.015694 : Epoch  2, Batch    886, Loss  0.872079, Average Loss  0.871152, Time  0.240073
2021-09-16 02:55:09.059930 : Epoch  4, Batch   1616, Loss  0.858547, Average Loss  0.869466, Time  0.265767
2021-09-16 02:55:09.615038 : Epoch  2, Batch    887, Loss  0.860394, Average Loss  0.871079, Time  0.240261
2021-09-16 02:55:12.045117 : Epoch  4, Batch   1617, Loss  0.861703, Average Loss  0.869556, Time  0.266012
2021-09-16 02:55:12.217624 : Epoch  2, Batch    888, Loss  0.865198, Average Loss  0.871121, Time  0.241313
2021-09-16 02:55:14.802396 : Epoch  2, Batch    889, Loss  0.880064, Average Loss  0.871247, Time  0.239785
2021-09-16 02:55:15.044027 : Epoch  4, Batch   1618, Loss  0.858062, Average Loss  0.869543, Time  0.265472
2021-09-16 02:55:17.387889 : Epoch  2, Batch    890, Loss  0.890261, Average Loss  0.871329, Time  0.241079
2021-09-16 02:55:18.018788 : Epoch  4, Batch   1619, Loss  0.889804, Average Loss  0.869635, Time  0.265738
2021-09-16 02:55:19.990201 : Epoch  2, Batch    891, Loss  0.884109, Average Loss  0.871458, Time  0.240842
2021-09-16 02:55:21.013490 : Epoch  4, Batch   1620, Loss  0.877196, Average Loss  0.869705, Time  0.266050
2021-09-16 02:55:22.570836 : Epoch  2, Batch    892, Loss  0.864838, Average Loss  0.871373, Time  0.241251
2021-09-16 02:55:24.002285 : Epoch  4, Batch   1621, Loss  0.884624, Average Loss  0.869645, Time  0.265383
2021-09-16 02:55:25.159865 : Epoch  2, Batch    893, Loss  0.877547, Average Loss  0.871464, Time  0.242893
2021-09-16 02:55:26.994587 : Epoch  4, Batch   1622, Loss  0.863371, Average Loss  0.869662, Time  0.265229
2021-09-16 02:55:27.764504 : Epoch  2, Batch    894, Loss  0.863519, Average Loss  0.871500, Time  0.240795
2021-09-16 02:55:29.997658 : Epoch  4, Batch   1623, Loss  0.856489, Average Loss  0.869602, Time  0.264590
2021-09-16 02:55:30.357937 : Epoch  2, Batch    895, Loss  0.862962, Average Loss  0.871494, Time  0.242172
2021-09-16 02:55:32.946120 : Epoch  2, Batch    896, Loss  0.864624, Average Loss  0.871417, Time  0.240050
2021-09-16 02:55:32.978981 : Epoch  4, Batch   1624, Loss  0.872047, Average Loss  0.869551, Time  0.265160
2021-09-16 02:55:35.552817 : Epoch  2, Batch    897, Loss  0.875197, Average Loss  0.871471, Time  0.240422
2021-09-16 02:55:35.957090 : Epoch  4, Batch   1625, Loss  0.865728, Average Loss  0.869494, Time  0.265426
2021-09-16 02:55:38.139050 : Epoch  2, Batch    898, Loss  0.888311, Average Loss  0.871524, Time  0.240072
2021-09-16 02:55:38.929133 : Epoch  4, Batch   1626, Loss  0.876746, Average Loss  0.869723, Time  0.265178
2021-09-16 02:55:40.728892 : Epoch  2, Batch    899, Loss  0.883408, Average Loss  0.871549, Time  0.240827
2021-09-16 02:55:41.921415 : Epoch  4, Batch   1627, Loss  0.862472, Average Loss  0.869724, Time  0.265779
2021-09-16 02:55:43.313743 : Epoch  2, Batch    900, Loss  0.885807, Average Loss  0.871519, Time  0.240282
2021-09-16 02:55:44.941962 : Epoch  4, Batch   1628, Loss  0.873379, Average Loss  0.869711, Time  0.267617
2021-09-16 02:55:45.906966 : Epoch  2, Batch    901, Loss  0.881433, Average Loss  0.871577, Time  0.240942
2021-09-16 02:55:47.923047 : Epoch  4, Batch   1629, Loss  0.870602, Average Loss  0.869803, Time  0.266243
2021-09-16 02:55:48.496419 : Epoch  2, Batch    902, Loss  0.869998, Average Loss  0.871451, Time  0.239893
2021-09-16 02:55:50.916317 : Epoch  4, Batch   1630, Loss  0.857907, Average Loss  0.869729, Time  0.276887
2021-09-16 02:55:51.082686 : Epoch  2, Batch    903, Loss  0.859100, Average Loss  0.871373, Time  0.240032
2021-09-16 02:55:53.662094 : Epoch  2, Batch    904, Loss  0.857470, Average Loss  0.871259, Time  0.240431
2021-09-16 02:55:53.890696 : Epoch  4, Batch   1631, Loss  0.856006, Average Loss  0.869694, Time  0.265311
2021-09-16 02:55:56.254608 : Epoch  2, Batch    905, Loss  0.874175, Average Loss  0.871171, Time  0.241898
2021-09-16 02:55:56.888346 : Epoch  4, Batch   1632, Loss  0.830691, Average Loss  0.869595, Time  0.266878
2021-09-16 02:55:58.848898 : Epoch  2, Batch    906, Loss  0.849582, Average Loss  0.871060, Time  0.241025
2021-09-16 02:56:01.444099 : Epoch  2, Batch    907, Loss  0.878423, Average Loss  0.871118, Time  0.240555
2021-09-16 02:56:04.032400 : Epoch  2, Batch    908, Loss  0.890790, Average Loss  0.871292, Time  0.240164
2021-09-16 02:56:06.620788 : Epoch  2, Batch    909, Loss  0.879124, Average Loss  0.871280, Time  0.240109
2021-09-16 02:56:09.213902 : Epoch  2, Batch    910, Loss  0.877265, Average Loss  0.871292, Time  0.242626
2021-09-16 02:56:11.808242 : Epoch  2, Batch    911, Loss  0.875261, Average Loss  0.871234, Time  0.246191
2021-09-16 02:56:14.408697 : Epoch  2, Batch    912, Loss  0.870993, Average Loss  0.871344, Time  0.241218
2021-09-16 02:56:16.999788 : Epoch  2, Batch    913, Loss  0.874137, Average Loss  0.871283, Time  0.241017
2021-09-16 02:56:19.586860 : Epoch  2, Batch    914, Loss  0.864497, Average Loss  0.871239, Time  0.241715
2021-09-16 02:56:22.174081 : Epoch  2, Batch    915, Loss  0.872195, Average Loss  0.871408, Time  0.240155
2021-09-16 02:56:24.773430 : Epoch  2, Batch    916, Loss  0.860815, Average Loss  0.871356, Time  0.242107
2021-09-16 02:56:27.371812 : Epoch  2, Batch    917, Loss  0.880547, Average Loss  0.871385, Time  0.241970
2021-09-16 02:56:29.966957 : Epoch  2, Batch    918, Loss  0.871154, Average Loss  0.871304, Time  0.240225
2021-09-16 02:56:32.557111 : Epoch  2, Batch    919, Loss  0.856817, Average Loss  0.871208, Time  0.240753
2021-09-16 02:56:35.155966 : Epoch  2, Batch    920, Loss  0.871567, Average Loss  0.871216, Time  0.242778
2021-09-16 02:56:37.759099 : Epoch  2, Batch    921, Loss  0.857232, Average Loss  0.871064, Time  0.240071
2021-09-16 02:56:40.361727 : Epoch  2, Batch    922, Loss  0.884033, Average Loss  0.871124, Time  0.239999
2021-09-16 02:56:42.961304 : Epoch  2, Batch    923, Loss  0.862303, Average Loss  0.871109, Time  0.242005
2021-09-16 02:56:45.550035 : Epoch  2, Batch    924, Loss  0.867975, Average Loss  0.871116, Time  0.242509
2021-09-16 02:56:48.146189 : Epoch  2, Batch    925, Loss  0.884035, Average Loss  0.871296, Time  0.242014
2021-09-16 02:56:50.744913 : Epoch  2, Batch    926, Loss  0.864989, Average Loss  0.871210, Time  0.248496
2021-09-16 02:56:53.335050 : Epoch  2, Batch    927, Loss  0.891236, Average Loss  0.871395, Time  0.242839
2021-09-16 02:56:55.921867 : Epoch  2, Batch    928, Loss  0.866606, Average Loss  0.871384, Time  0.241318
2021-09-16 02:56:58.520946 : Epoch  2, Batch    929, Loss  0.887761, Average Loss  0.871447, Time  0.240632
2021-09-16 02:57:01.113133 : Epoch  2, Batch    930, Loss  0.849566, Average Loss  0.871357, Time  0.240099
2021-09-16 02:57:03.713773 : Epoch  2, Batch    931, Loss  0.879890, Average Loss  0.871368, Time  0.241628
2021-09-16 02:57:06.304009 : Epoch  2, Batch    932, Loss  0.867485, Average Loss  0.871236, Time  0.240457
2021-09-16 02:57:08.895954 : Epoch  2, Batch    933, Loss  0.877698, Average Loss  0.871275, Time  0.241393
2021-09-16 02:57:11.487963 : Epoch  2, Batch    934, Loss  0.854510, Average Loss  0.871264, Time  0.240328
2021-09-16 02:57:14.085386 : Epoch  2, Batch    935, Loss  0.888132, Average Loss  0.871312, Time  0.241546
2021-09-16 02:57:16.679108 : Epoch  2, Batch    936, Loss  0.888702, Average Loss  0.871331, Time  0.241057
2021-09-16 02:57:19.276527 : Epoch  2, Batch    937, Loss  0.864449, Average Loss  0.871252, Time  0.242943
2021-09-16 02:57:21.868948 : Epoch  2, Batch    938, Loss  0.869893, Average Loss  0.871258, Time  0.240325
2021-09-16 02:57:24.468428 : Epoch  2, Batch    939, Loss  0.867639, Average Loss  0.871197, Time  0.240096
2021-09-16 02:57:27.075449 : Epoch  2, Batch    940, Loss  0.865936, Average Loss  0.871306, Time  0.241407
2021-09-16 02:57:29.672274 : Epoch  2, Batch    941, Loss  0.877936, Average Loss  0.871371, Time  0.240027
2021-09-16 02:57:32.287850 : Epoch  2, Batch    942, Loss  0.857248, Average Loss  0.871257, Time  0.243678
2021-09-16 02:57:34.880438 : Epoch  2, Batch    943, Loss  0.860179, Average Loss  0.871217, Time  0.241061
2021-09-16 02:57:37.475407 : Epoch  2, Batch    944, Loss  0.863237, Average Loss  0.871145, Time  0.240169
2021-09-16 03:00:36.327747 : CheckPoint: Validation Loss  0.00030277, Best Loss  0.00029379
2021-09-16 03:00:39.308486 : Epoch  4, Batch   1633, Loss  0.863267, Average Loss  0.869556, Time  0.266397
2021-09-16 03:00:42.289918 : Epoch  4, Batch   1634, Loss  0.872203, Average Loss  0.869577, Time  0.264998
2021-09-16 03:00:45.291081 : Epoch  4, Batch   1635, Loss  0.863130, Average Loss  0.869605, Time  0.266490
2021-09-16 03:00:48.270472 : Epoch  4, Batch   1636, Loss  0.876701, Average Loss  0.869686, Time  0.265208
2021-09-16 03:00:51.259324 : Epoch  4, Batch   1637, Loss  0.894684, Average Loss  0.869846, Time  0.266331
2021-09-16 03:00:54.264199 : Epoch  4, Batch   1638, Loss  0.867527, Average Loss  0.869825, Time  0.265544
2021-09-16 03:00:57.243400 : Epoch  4, Batch   1639, Loss  0.864309, Average Loss  0.869869, Time  0.265826
2021-09-16 03:01:00.239777 : Epoch  4, Batch   1640, Loss  0.858960, Average Loss  0.869837, Time  0.265711
2021-09-16 03:01:03.260090 : Epoch  4, Batch   1641, Loss  0.879010, Average Loss  0.869823, Time  0.266378
2021-09-16 03:01:06.289533 : Epoch  4, Batch   1642, Loss  0.865390, Average Loss  0.869894, Time  0.266152
2021-09-16 03:01:09.286471 : Epoch  4, Batch   1643, Loss  0.868546, Average Loss  0.869930, Time  0.265675
2021-09-16 03:01:12.275001 : Epoch  4, Batch   1644, Loss  0.882181, Average Loss  0.870094, Time  0.266024
2021-09-16 03:01:15.276195 : Epoch  4, Batch   1645, Loss  0.878565, Average Loss  0.870095, Time  0.277352
2021-09-16 03:01:18.284303 : Epoch  4, Batch   1646, Loss  0.864141, Average Loss  0.869966, Time  0.266601
2021-09-16 03:01:21.268212 : Epoch  4, Batch   1647, Loss  0.873876, Average Loss  0.870038, Time  0.265933
2021-09-16 03:01:24.275231 : Epoch  4, Batch   1648, Loss  0.862595, Average Loss  0.870040, Time  0.266003
2021-09-16 03:01:27.293812 : Epoch  4, Batch   1649, Loss  0.871787, Average Loss  0.870032, Time  0.266379
2021-09-16 03:01:30.314164 : Epoch  4, Batch   1650, Loss  0.877254, Average Loss  0.870011, Time  0.267547
2021-09-16 03:01:33.307563 : Epoch  4, Batch   1651, Loss  0.864933, Average Loss  0.869887, Time  0.265764
2021-09-16 03:01:36.299982 : Epoch  4, Batch   1652, Loss  0.872515, Average Loss  0.869809, Time  0.265461
2021-09-16 03:01:39.348266 : Epoch  4, Batch   1653, Loss  0.883547, Average Loss  0.869935, Time  0.267836
2021-09-16 03:01:40.933795 : CheckPoint: Validation Loss  0.00030296, Best Loss  0.00029477
2021-09-16 03:01:42.354957 : Epoch  4, Batch   1654, Loss  0.883912, Average Loss  0.869959, Time  0.267441
2021-09-16 03:01:43.540165 : Epoch  2, Batch    945, Loss  0.877020, Average Loss  0.871152, Time  0.242592
2021-09-16 03:01:45.358964 : Epoch  4, Batch   1655, Loss  0.871611, Average Loss  0.870055, Time  0.266259
2021-09-16 03:01:46.142223 : Epoch  2, Batch    946, Loss  0.870305, Average Loss  0.871028, Time  0.240388
2021-09-16 03:01:48.385306 : Epoch  4, Batch   1656, Loss  0.885048, Average Loss  0.870230, Time  0.267491
2021-09-16 03:01:48.743394 : Epoch  2, Batch    947, Loss  0.851535, Average Loss  0.870946, Time  0.240933
2021-09-16 03:01:51.332109 : Epoch  2, Batch    948, Loss  0.854776, Average Loss  0.870878, Time  0.242636
2021-09-16 03:01:51.382443 : Epoch  4, Batch   1657, Loss  0.859642, Average Loss  0.870204, Time  0.267646
2021-09-16 03:01:53.922942 : Epoch  2, Batch    949, Loss  0.884303, Average Loss  0.870956, Time  0.240334
2021-09-16 03:01:54.370495 : Epoch  4, Batch   1658, Loss  0.854158, Average Loss  0.870165, Time  0.265644
2021-09-16 03:01:56.532491 : Epoch  2, Batch    950, Loss  0.889717, Average Loss  0.870994, Time  0.240784
2021-09-16 03:01:57.348438 : Epoch  4, Batch   1659, Loss  0.867207, Average Loss  0.870130, Time  0.265566
2021-09-16 03:01:59.128377 : Epoch  2, Batch    951, Loss  0.889628, Average Loss  0.871035, Time  0.242192
2021-09-16 03:02:00.342473 : Epoch  4, Batch   1660, Loss  0.872637, Average Loss  0.870239, Time  0.273229
2021-09-16 03:02:01.719313 : Epoch  2, Batch    952, Loss  0.863246, Average Loss  0.871019, Time  0.240490
2021-09-16 03:02:03.328104 : Epoch  4, Batch   1661, Loss  0.879798, Average Loss  0.870186, Time  0.265330
2021-09-16 03:02:04.307741 : Epoch  2, Batch    953, Loss  0.888926, Average Loss  0.871079, Time  0.240530
2021-09-16 03:02:06.315905 : Epoch  4, Batch   1662, Loss  0.876907, Average Loss  0.870339, Time  0.265106
2021-09-16 03:02:06.901697 : Epoch  2, Batch    954, Loss  0.868831, Average Loss  0.871162, Time  0.241082
2021-09-16 03:02:09.312153 : Epoch  4, Batch   1663, Loss  0.880853, Average Loss  0.870394, Time  0.267102
2021-09-16 03:02:09.500095 : Epoch  2, Batch    955, Loss  0.888513, Average Loss  0.871271, Time  0.240212
2021-09-16 03:02:12.078880 : Epoch  2, Batch    956, Loss  0.870793, Average Loss  0.871214, Time  0.240175
2021-09-16 03:02:12.325800 : Epoch  4, Batch   1664, Loss  0.853686, Average Loss  0.870390, Time  0.266049
2021-09-16 03:02:14.677505 : Epoch  2, Batch    957, Loss  0.842316, Average Loss  0.871015, Time  0.240319
2021-09-16 03:02:15.303276 : Epoch  4, Batch   1665, Loss  0.880198, Average Loss  0.870435, Time  0.265999
2021-09-16 03:02:17.274438 : Epoch  2, Batch    958, Loss  0.870251, Average Loss  0.870988, Time  0.239961
2021-09-16 03:02:18.293175 : Epoch  4, Batch   1666, Loss  0.867597, Average Loss  0.870444, Time  0.266557
2021-09-16 03:02:19.868424 : Epoch  2, Batch    959, Loss  0.863174, Average Loss  0.870908, Time  0.239861
2021-09-16 03:02:21.322722 : Epoch  4, Batch   1667, Loss  0.856845, Average Loss  0.870315, Time  0.266196
2021-09-16 03:02:22.466685 : Epoch  2, Batch    960, Loss  0.866514, Average Loss  0.870746, Time  0.240764
2021-09-16 03:02:24.359578 : Epoch  4, Batch   1668, Loss  0.857972, Average Loss  0.870200, Time  0.266212
2021-09-16 03:02:25.058839 : Epoch  2, Batch    961, Loss  0.875334, Average Loss  0.870778, Time  0.240997
2021-09-16 03:02:27.320527 : Epoch  4, Batch   1669, Loss  0.885977, Average Loss  0.870315, Time  0.265004
2021-09-16 03:02:27.653879 : Epoch  2, Batch    962, Loss  0.873751, Average Loss  0.870878, Time  0.240679
2021-09-16 03:02:30.241484 : Epoch  2, Batch    963, Loss  0.850087, Average Loss  0.870691, Time  0.240068
2021-09-16 03:02:30.336771 : Epoch  4, Batch   1670, Loss  0.856670, Average Loss  0.870094, Time  0.266640
2021-09-16 03:02:32.831883 : Epoch  2, Batch    964, Loss  0.886910, Average Loss  0.870710, Time  0.241065
2021-09-16 03:02:33.327572 : Epoch  4, Batch   1671, Loss  0.893955, Average Loss  0.870218, Time  0.265828
2021-09-16 03:02:35.425012 : Epoch  2, Batch    965, Loss  0.862691, Average Loss  0.870685, Time  0.239974
2021-09-16 03:02:36.344255 : Epoch  4, Batch   1672, Loss  0.844294, Average Loss  0.870042, Time  0.268049
2021-09-16 03:02:38.022409 : Epoch  2, Batch    966, Loss  0.878036, Average Loss  0.870713, Time  0.241152
2021-09-16 03:02:39.371187 : Epoch  4, Batch   1673, Loss  0.881257, Average Loss  0.870069, Time  0.266039
2021-09-16 03:02:40.619723 : Epoch  2, Batch    967, Loss  0.889924, Average Loss  0.870842, Time  0.241552
2021-09-16 03:02:42.364928 : Epoch  4, Batch   1674, Loss  0.886939, Average Loss  0.870167, Time  0.265558
2021-09-16 03:02:43.218107 : Epoch  2, Batch    968, Loss  0.865417, Average Loss  0.870741, Time  0.240792
2021-09-16 03:02:45.400715 : Epoch  4, Batch   1675, Loss  0.876954, Average Loss  0.870183, Time  0.278680
2021-09-16 03:02:45.807075 : Epoch  2, Batch    969, Loss  0.857744, Average Loss  0.870734, Time  0.240283
2021-09-16 03:02:48.389005 : Epoch  2, Batch    970, Loss  0.891761, Average Loss  0.870834, Time  0.240114
2021-09-16 03:02:48.411527 : Epoch  4, Batch   1676, Loss  0.873828, Average Loss  0.870205, Time  0.266529
2021-09-16 03:02:50.983972 : Epoch  2, Batch    971, Loss  0.871918, Average Loss  0.870933, Time  0.241287
2021-09-16 03:02:51.434504 : Epoch  4, Batch   1677, Loss  0.883678, Average Loss  0.870251, Time  0.266296
2021-09-16 03:02:53.578118 : Epoch  2, Batch    972, Loss  0.876623, Average Loss  0.870980, Time  0.240341
2021-09-16 03:02:54.416108 : Epoch  4, Batch   1678, Loss  0.847830, Average Loss  0.870130, Time  0.267780
2021-09-16 03:02:56.174884 : Epoch  2, Batch    973, Loss  0.868653, Average Loss  0.870947, Time  0.241975
2021-09-16 03:02:57.413911 : Epoch  4, Batch   1679, Loss  0.876656, Average Loss  0.870111, Time  0.265232
2021-09-16 03:02:58.766754 : Epoch  2, Batch    974, Loss  0.871573, Average Loss  0.871009, Time  0.240868
2021-09-16 03:03:00.430379 : Epoch  4, Batch   1680, Loss  0.856055, Average Loss  0.870056, Time  0.266751
2021-09-16 03:03:01.367754 : Epoch  2, Batch    975, Loss  0.870011, Average Loss  0.871063, Time  0.241649
2021-09-16 03:03:03.433739 : Epoch  4, Batch   1681, Loss  0.852990, Average Loss  0.869985, Time  0.264873
2021-09-16 03:03:03.960713 : Epoch  2, Batch    976, Loss  0.869950, Average Loss  0.871073, Time  0.242721
2021-09-16 03:03:06.460066 : Epoch  4, Batch   1682, Loss  0.843985, Average Loss  0.869890, Time  0.265965
2021-09-16 03:03:06.583825 : Epoch  2, Batch    977, Loss  0.881866, Average Loss  0.871053, Time  0.240279
2021-09-16 03:03:09.206659 : Epoch  2, Batch    978, Loss  0.891091, Average Loss  0.871120, Time  0.240654
2021-09-16 03:03:09.461475 : Epoch  4, Batch   1683, Loss  0.876549, Average Loss  0.869890, Time  0.265464
2021-09-16 03:03:11.825445 : Epoch  2, Batch    979, Loss  0.871491, Average Loss  0.870992, Time  0.239851
2021-09-16 03:03:12.456858 : Epoch  4, Batch   1684, Loss  0.880834, Average Loss  0.869893, Time  0.265817
2021-09-16 03:03:14.429025 : Epoch  2, Batch    980, Loss  0.860932, Average Loss  0.870903, Time  0.240531
2021-09-16 03:03:15.497330 : Epoch  4, Batch   1685, Loss  0.862050, Average Loss  0.869888, Time  0.265121
2021-09-16 03:03:17.062708 : Epoch  2, Batch    981, Loss  0.856985, Average Loss  0.870765, Time  0.241915
2021-09-16 03:03:18.505465 : Epoch  4, Batch   1686, Loss  0.875255, Average Loss  0.869940, Time  0.265053
2021-09-16 03:03:19.677117 : Epoch  2, Batch    982, Loss  0.883689, Average Loss  0.870776, Time  0.241518
2021-09-16 03:03:21.493865 : Epoch  4, Batch   1687, Loss  0.862629, Average Loss  0.869980, Time  0.265496
2021-09-16 03:03:22.273839 : Epoch  2, Batch    983, Loss  0.880523, Average Loss  0.870861, Time  0.240687
2021-09-16 03:03:24.490963 : Epoch  4, Batch   1688, Loss  0.869732, Average Loss  0.870007, Time  0.265515
2021-09-16 03:03:24.882838 : Epoch  2, Batch    984, Loss  0.858119, Average Loss  0.870799, Time  0.251629
2021-09-16 03:03:27.485156 : Epoch  4, Batch   1689, Loss  0.861850, Average Loss  0.869901, Time  0.265283
2021-09-16 03:03:27.495689 : Epoch  2, Batch    985, Loss  0.883822, Average Loss  0.870979, Time  0.240807
2021-09-16 03:03:30.133396 : Epoch  2, Batch    986, Loss  0.854818, Average Loss  0.871002, Time  0.239883
2021-09-16 03:03:30.509074 : Epoch  4, Batch   1690, Loss  0.846606, Average Loss  0.869742, Time  0.277995
2021-09-16 03:03:32.732893 : Epoch  2, Batch    987, Loss  0.870083, Average Loss  0.870944, Time  0.241607
2021-09-16 03:03:33.503817 : Epoch  4, Batch   1691, Loss  0.863813, Average Loss  0.869759, Time  0.266775
2021-09-16 03:03:35.326020 : Epoch  2, Batch    988, Loss  0.888687, Average Loss  0.870988, Time  0.240675
2021-09-16 03:03:36.505881 : Epoch  4, Batch   1692, Loss  0.868271, Average Loss  0.869838, Time  0.266295
2021-09-16 03:03:37.927078 : Epoch  2, Batch    989, Loss  0.850210, Average Loss  0.870865, Time  0.240474
2021-09-16 03:03:39.496189 : Epoch  4, Batch   1693, Loss  0.875949, Average Loss  0.869840, Time  0.265363
2021-09-16 03:03:40.520443 : Epoch  2, Batch    990, Loss  0.869249, Average Loss  0.870888, Time  0.240366
2021-09-16 03:03:42.486756 : Epoch  4, Batch   1694, Loss  0.887338, Average Loss  0.869910, Time  0.265978
2021-09-16 03:03:43.109406 : Epoch  2, Batch    991, Loss  0.866113, Average Loss  0.870792, Time  0.239643
2021-09-16 03:03:45.477535 : Epoch  4, Batch   1695, Loss  0.885113, Average Loss  0.869986, Time  0.267354
2021-09-16 03:03:45.709042 : Epoch  2, Batch    992, Loss  0.869426, Average Loss  0.870815, Time  0.239837
2021-09-16 03:03:48.298484 : Epoch  2, Batch    993, Loss  0.884331, Average Loss  0.870907, Time  0.241354
2021-09-16 03:03:48.480157 : Epoch  4, Batch   1696, Loss  0.857944, Average Loss  0.869886, Time  0.265989
2021-09-16 03:03:50.902438 : Epoch  2, Batch    994, Loss  0.879748, Average Loss  0.870928, Time  0.240763
2021-09-16 03:03:51.503499 : Epoch  4, Batch   1697, Loss  0.881542, Average Loss  0.869955, Time  0.266606
2021-09-16 03:03:53.498448 : Epoch  2, Batch    995, Loss  0.875385, Average Loss  0.870970, Time  0.239937
2021-09-16 03:03:54.546241 : Epoch  4, Batch   1698, Loss  0.875031, Average Loss  0.870068, Time  0.267517
2021-09-16 03:03:56.099500 : Epoch  2, Batch    996, Loss  0.915488, Average Loss  0.871234, Time  0.240648
2021-09-16 03:03:57.563387 : Epoch  4, Batch   1699, Loss  0.866603, Average Loss  0.870084, Time  0.266048
2021-09-16 03:03:58.699115 : Epoch  2, Batch    997, Loss  0.876578, Average Loss  0.871321, Time  0.240776
2021-09-16 03:04:00.589859 : Epoch  4, Batch   1700, Loss  0.871425, Average Loss  0.870039, Time  0.266143
2021-09-16 03:04:01.318838 : Epoch  2, Batch    998, Loss  0.858166, Average Loss  0.871348, Time  0.240670
2021-09-16 03:04:03.587938 : Epoch  4, Batch   1701, Loss  0.870088, Average Loss  0.870114, Time  0.265411
2021-09-16 03:04:03.916395 : Epoch  2, Batch    999, Loss  0.885500, Average Loss  0.871480, Time  0.241401
2021-09-16 03:04:06.510434 : Epoch  2, Batch   1000, Loss  0.872931, Average Loss  0.871390, Time  0.240731
2021-09-16 03:04:06.589838 : Epoch  4, Batch   1702, Loss  0.853157, Average Loss  0.869988, Time  0.266115
2021-09-16 03:04:09.114608 : Epoch  2, Batch   1001, Loss  0.875033, Average Loss  0.871539, Time  0.239928
2021-09-16 03:04:09.612425 : Epoch  4, Batch   1703, Loss  0.892453, Average Loss  0.870126, Time  0.266209
2021-09-16 03:04:11.725045 : Epoch  2, Batch   1002, Loss  0.883905, Average Loss  0.871645, Time  0.240962
2021-09-16 03:04:12.627456 : Epoch  4, Batch   1704, Loss  0.859796, Average Loss  0.870090, Time  0.266384
2021-09-16 03:04:14.317570 : Epoch  2, Batch   1003, Loss  0.860187, Average Loss  0.871550, Time  0.241335
2021-09-16 03:04:15.669335 : Epoch  4, Batch   1705, Loss  0.869246, Average Loss  0.870192, Time  0.276631
2021-09-16 03:04:16.919410 : Epoch  2, Batch   1004, Loss  0.863829, Average Loss  0.871528, Time  0.240110
2021-09-16 03:04:18.685842 : Epoch  4, Batch   1706, Loss  0.877514, Average Loss  0.870206, Time  0.266835
2021-09-16 03:04:19.521000 : Epoch  2, Batch   1005, Loss  0.891730, Average Loss  0.871606, Time  0.240881
2021-09-16 03:04:21.711526 : Epoch  4, Batch   1707, Loss  0.843175, Average Loss  0.870004, Time  0.265039
2021-09-16 03:04:22.121032 : Epoch  2, Batch   1006, Loss  0.857510, Average Loss  0.871543, Time  0.239971
2021-09-16 03:04:24.701842 : Epoch  2, Batch   1007, Loss  0.862258, Average Loss  0.871582, Time  0.240345
2021-09-16 03:04:24.705484 : Epoch  4, Batch   1708, Loss  0.890984, Average Loss  0.870248, Time  0.265587
2021-09-16 03:04:27.289210 : Epoch  2, Batch   1008, Loss  0.865649, Average Loss  0.871411, Time  0.240149
2021-09-16 03:04:27.730875 : Epoch  4, Batch   1709, Loss  0.867052, Average Loss  0.870280, Time  0.265483
2021-09-16 03:04:29.885279 : Epoch  2, Batch   1009, Loss  0.878529, Average Loss  0.871549, Time  0.240395
2021-09-16 03:04:30.710422 : Epoch  4, Batch   1710, Loss  0.882467, Average Loss  0.870409, Time  0.265107
2021-09-16 03:04:32.478211 : Epoch  2, Batch   1010, Loss  0.891119, Average Loss  0.871684, Time  0.240409
2021-09-16 03:04:33.700564 : Epoch  4, Batch   1711, Loss  0.869337, Average Loss  0.870441, Time  0.265131
2021-09-16 03:04:35.079077 : Epoch  2, Batch   1011, Loss  0.878099, Average Loss  0.871608, Time  0.241020
2021-09-16 03:04:36.684453 : Epoch  4, Batch   1712, Loss  0.863303, Average Loss  0.870458, Time  0.265907
2021-09-16 03:04:37.681974 : Epoch  2, Batch   1012, Loss  0.864082, Average Loss  0.871474, Time  0.241969
2021-09-16 03:04:39.677909 : Epoch  4, Batch   1713, Loss  0.907951, Average Loss  0.870524, Time  0.266065
2021-09-16 03:04:40.279606 : Epoch  2, Batch   1013, Loss  0.884250, Average Loss  0.871573, Time  0.240633
2021-09-16 03:04:42.687272 : Epoch  4, Batch   1714, Loss  0.869471, Average Loss  0.870494, Time  0.265770
2021-09-16 03:04:42.882950 : Epoch  2, Batch   1014, Loss  0.901314, Average Loss  0.871754, Time  0.240214
2021-09-16 03:04:45.475376 : Epoch  2, Batch   1015, Loss  0.862280, Average Loss  0.871790, Time  0.240095
2021-09-16 03:04:45.673967 : Epoch  4, Batch   1715, Loss  0.898726, Average Loss  0.870512, Time  0.267700
2021-09-16 03:04:48.061792 : Epoch  2, Batch   1016, Loss  0.853537, Average Loss  0.871682, Time  0.240314
2021-09-16 03:04:48.669045 : Epoch  4, Batch   1716, Loss  0.867228, Average Loss  0.870517, Time  0.265914
2021-09-16 03:04:50.667025 : Epoch  2, Batch   1017, Loss  0.864171, Average Loss  0.871591, Time  0.241169
2021-09-16 03:04:51.709465 : Epoch  4, Batch   1717, Loss  0.858961, Average Loss  0.870461, Time  0.267033
2021-09-16 03:04:53.266074 : Epoch  2, Batch   1018, Loss  0.869870, Average Loss  0.871567, Time  0.242450
2021-09-16 03:04:54.737350 : Epoch  4, Batch   1718, Loss  0.885359, Average Loss  0.870519, Time  0.266565
2021-09-16 03:04:55.863993 : Epoch  2, Batch   1019, Loss  0.865913, Average Loss  0.871518, Time  0.240212
2021-09-16 03:04:57.757807 : Epoch  4, Batch   1719, Loss  0.888495, Average Loss  0.870480, Time  0.267049
2021-09-16 03:04:58.457480 : Epoch  2, Batch   1020, Loss  0.863567, Average Loss  0.871407, Time  0.241516
2021-09-16 03:05:00.797564 : Epoch  4, Batch   1720, Loss  0.884080, Average Loss  0.870588, Time  0.276772
2021-09-16 03:05:01.044679 : Epoch  2, Batch   1021, Loss  0.868856, Average Loss  0.871430, Time  0.241925
2021-09-16 03:05:03.634171 : Epoch  2, Batch   1022, Loss  0.876816, Average Loss  0.871453, Time  0.240878
2021-09-16 03:05:03.797854 : Epoch  4, Batch   1721, Loss  0.893617, Average Loss  0.870681, Time  0.265344
2021-09-16 03:05:06.231035 : Epoch  2, Batch   1023, Loss  0.886329, Average Loss  0.871537, Time  0.240521
2021-09-16 03:05:06.809590 : Epoch  4, Batch   1722, Loss  0.866707, Average Loss  0.870613, Time  0.266622
2021-09-16 03:05:08.827912 : Epoch  2, Batch   1024, Loss  0.875224, Average Loss  0.871585, Time  0.240282
2021-09-16 03:05:09.815126 : Epoch  4, Batch   1723, Loss  0.860228, Average Loss  0.870599, Time  0.265082
2021-09-16 03:05:11.425438 : Epoch  2, Batch   1025, Loss  0.853576, Average Loss  0.871589, Time  0.241170
2021-09-16 03:05:12.799003 : Epoch  4, Batch   1724, Loss  0.842399, Average Loss  0.870508, Time  0.265715
2021-09-16 03:05:14.015313 : Epoch  2, Batch   1026, Loss  0.860854, Average Loss  0.871468, Time  0.241387
2021-09-16 03:05:15.809809 : Epoch  4, Batch   1725, Loss  0.865399, Average Loss  0.870501, Time  0.266122
2021-09-16 03:05:16.604436 : Epoch  2, Batch   1027, Loss  0.847077, Average Loss  0.871307, Time  0.239937
2021-09-16 03:05:18.827073 : Epoch  4, Batch   1726, Loss  0.851411, Average Loss  0.870339, Time  0.265643
2021-09-16 03:05:19.198746 : Epoch  2, Batch   1028, Loss  0.863422, Average Loss  0.871315, Time  0.240437
2021-09-16 03:05:21.778581 : Epoch  2, Batch   1029, Loss  0.889754, Average Loss  0.871418, Time  0.240848
2021-09-16 03:05:21.843315 : Epoch  4, Batch   1727, Loss  0.872255, Average Loss  0.870350, Time  0.266852
2021-09-16 03:05:24.371527 : Epoch  2, Batch   1030, Loss  0.863841, Average Loss  0.871390, Time  0.240412
2021-09-16 03:05:24.869175 : Epoch  4, Batch   1728, Loss  0.857922, Average Loss  0.870363, Time  0.265731
2021-09-16 03:05:26.976090 : Epoch  2, Batch   1031, Loss  0.862415, Average Loss  0.871403, Time  0.241266
2021-09-16 03:05:27.860757 : Epoch  4, Batch   1729, Loss  0.862709, Average Loss  0.870249, Time  0.265472
2021-09-16 03:05:29.571038 : Epoch  2, Batch   1032, Loss  0.897827, Average Loss  0.871563, Time  0.240227
2021-09-16 03:05:30.852363 : Epoch  4, Batch   1730, Loss  0.874124, Average Loss  0.870244, Time  0.266366
2021-09-16 03:05:32.183398 : Epoch  2, Batch   1033, Loss  0.885384, Average Loss  0.871745, Time  0.242299
2021-09-16 03:05:33.872251 : Epoch  4, Batch   1731, Loss  0.860125, Average Loss  0.870038, Time  0.265557
2021-09-16 03:05:34.773945 : Epoch  2, Batch   1034, Loss  0.867975, Average Loss  0.871725, Time  0.240330
2021-09-16 03:05:36.872242 : Epoch  4, Batch   1732, Loss  0.849675, Average Loss  0.870004, Time  0.265249
2021-09-16 03:05:37.366159 : Epoch  2, Batch   1035, Loss  0.868584, Average Loss  0.871580, Time  0.241446
2021-09-16 03:05:39.949839 : Epoch  2, Batch   1036, Loss  0.854300, Average Loss  0.871479, Time  0.242339
2021-09-16 03:05:42.545841 : Epoch  2, Batch   1037, Loss  0.871294, Average Loss  0.871519, Time  0.240721
2021-09-16 03:05:45.137097 : Epoch  2, Batch   1038, Loss  0.854867, Average Loss  0.871455, Time  0.239941
2021-09-16 03:05:47.731042 : Epoch  2, Batch   1039, Loss  0.875422, Average Loss  0.871454, Time  0.240109
2021-09-16 03:05:50.332848 : Epoch  2, Batch   1040, Loss  0.851776, Average Loss  0.871338, Time  0.240633
2021-09-16 03:05:52.929423 : Epoch  2, Batch   1041, Loss  0.875409, Average Loss  0.871288, Time  0.241020
2021-09-16 03:05:55.529711 : Epoch  2, Batch   1042, Loss  0.869789, Average Loss  0.871265, Time  0.241404
2021-09-16 03:05:58.129076 : Epoch  2, Batch   1043, Loss  0.878842, Average Loss  0.871272, Time  0.241232
2021-09-16 03:06:00.724433 : Epoch  2, Batch   1044, Loss  0.854475, Average Loss  0.871239, Time  0.240243
2021-09-16 03:10:03.273742 : CheckPoint: Validation Loss  0.00030127, Best Loss  0.00029477
2021-09-16 03:10:05.876008 : Epoch  2, Batch   1045, Loss  0.858234, Average Loss  0.871142, Time  0.241109
2021-09-16 03:10:08.486316 : Epoch  2, Batch   1046, Loss  0.868189, Average Loss  0.871159, Time  0.240610
2021-09-16 03:10:11.083864 : Epoch  2, Batch   1047, Loss  0.868761, Average Loss  0.871095, Time  0.240323
2021-09-16 03:10:13.682563 : Epoch  2, Batch   1048, Loss  0.832762, Average Loss  0.870890, Time  0.241234
2021-09-16 03:10:15.901320 : CheckPoint: Validation Loss  0.00030770, Best Loss  0.00029379
2021-09-16 03:10:16.285653 : Epoch  2, Batch   1049, Loss  0.855055, Average Loss  0.870792, Time  0.239844
2021-09-16 03:10:18.879429 : Epoch  2, Batch   1050, Loss  0.850360, Average Loss  0.870740, Time  0.240652
2021-09-16 03:10:18.926495 : Epoch  4, Batch   1733, Loss  0.875701, Average Loss  0.869960, Time  0.268166
2021-09-16 03:10:21.482095 : Epoch  2, Batch   1051, Loss  0.869671, Average Loss  0.870789, Time  0.240344
2021-09-16 03:10:21.929158 : Epoch  4, Batch   1734, Loss  0.868959, Average Loss  0.870035, Time  0.266324
2021-09-16 03:10:24.084094 : Epoch  2, Batch   1052, Loss  0.843485, Average Loss  0.870714, Time  0.240114
2021-09-16 03:10:24.954672 : Epoch  4, Batch   1735, Loss  0.875011, Average Loss  0.869971, Time  0.277282
2021-09-16 03:10:26.685465 : Epoch  2, Batch   1053, Loss  0.881471, Average Loss  0.870790, Time  0.242180
2021-09-16 03:10:27.962150 : Epoch  4, Batch   1736, Loss  0.841361, Average Loss  0.869853, Time  0.266383
2021-09-16 03:10:29.296426 : Epoch  2, Batch   1054, Loss  0.859130, Average Loss  0.870743, Time  0.241152
2021-09-16 03:10:30.979334 : Epoch  4, Batch   1737, Loss  0.891392, Average Loss  0.869921, Time  0.266631
2021-09-16 03:10:31.903035 : Epoch  2, Batch   1055, Loss  0.875438, Average Loss  0.870841, Time  0.240174
2021-09-16 03:10:34.012935 : Epoch  4, Batch   1738, Loss  0.870744, Average Loss  0.869979, Time  0.266669
2021-09-16 03:10:34.502699 : Epoch  2, Batch   1056, Loss  0.882408, Average Loss  0.870990, Time  0.240615
2021-09-16 03:10:36.999233 : Epoch  4, Batch   1739, Loss  0.866543, Average Loss  0.869899, Time  0.266846
2021-09-16 03:10:37.099418 : Epoch  2, Batch   1057, Loss  0.904802, Average Loss  0.871149, Time  0.241403
2021-09-16 03:10:39.688672 : Epoch  2, Batch   1058, Loss  0.866495, Average Loss  0.871237, Time  0.240230
2021-09-16 03:10:40.030402 : Epoch  4, Batch   1740, Loss  0.877130, Average Loss  0.870004, Time  0.266373
2021-09-16 03:10:42.293850 : Epoch  2, Batch   1059, Loss  0.864709, Average Loss  0.871370, Time  0.241704
2021-09-16 03:10:43.017348 : Epoch  4, Batch   1741, Loss  0.889335, Average Loss  0.870010, Time  0.265887
2021-09-16 03:10:44.899153 : Epoch  2, Batch   1060, Loss  0.879207, Average Loss  0.871437, Time  0.241760
2021-09-16 03:10:46.011673 : Epoch  4, Batch   1742, Loss  0.864138, Average Loss  0.869954, Time  0.263415
2021-09-16 03:10:47.504244 : Epoch  2, Batch   1061, Loss  0.871729, Average Loss  0.871361, Time  0.242087
2021-09-16 03:10:49.020403 : Epoch  4, Batch   1743, Loss  0.869878, Average Loss  0.869978, Time  0.265854
2021-09-16 03:10:50.111391 : Epoch  2, Batch   1062, Loss  0.856432, Average Loss  0.871377, Time  0.240954
2021-09-16 03:10:52.045875 : Epoch  4, Batch   1744, Loss  0.887574, Average Loss  0.870032, Time  0.265706
2021-09-16 03:10:52.715812 : Epoch  2, Batch   1063, Loss  0.864770, Average Loss  0.871185, Time  0.240004
2021-09-16 03:10:55.047264 : Epoch  4, Batch   1745, Loss  0.875472, Average Loss  0.869950, Time  0.265507
2021-09-16 03:10:55.323245 : Epoch  2, Batch   1064, Loss  0.878307, Average Loss  0.871147, Time  0.241078
2021-09-16 03:10:57.916930 : Epoch  2, Batch   1065, Loss  0.865882, Average Loss  0.871062, Time  0.240091
2021-09-16 03:10:58.048162 : Epoch  4, Batch   1746, Loss  0.881591, Average Loss  0.870021, Time  0.265394
2021-09-16 03:11:00.504304 : Epoch  2, Batch   1066, Loss  0.888302, Average Loss  0.871232, Time  0.240271
2021-09-16 03:11:01.026595 : Epoch  4, Batch   1747, Loss  0.880528, Average Loss  0.870087, Time  0.265024
2021-09-16 03:11:03.101541 : Epoch  2, Batch   1067, Loss  0.854761, Average Loss  0.871237, Time  0.240120
2021-09-16 03:11:04.010234 : Epoch  4, Batch   1748, Loss  0.872940, Average Loss  0.870180, Time  0.266441
2021-09-16 03:11:05.695265 : Epoch  2, Batch   1068, Loss  0.853802, Average Loss  0.871091, Time  0.240045
2021-09-16 03:11:07.019718 : Epoch  4, Batch   1749, Loss  0.871258, Average Loss  0.870135, Time  0.265450
2021-09-16 03:11:08.295806 : Epoch  2, Batch   1069, Loss  0.870609, Average Loss  0.871052, Time  0.241306
2021-09-16 03:11:10.030848 : Epoch  4, Batch   1750, Loss  0.882690, Average Loss  0.870143, Time  0.279816
2021-09-16 03:11:10.900051 : Epoch  2, Batch   1070, Loss  0.878283, Average Loss  0.871215, Time  0.240498
2021-09-16 03:11:13.017453 : Epoch  4, Batch   1751, Loss  0.884100, Average Loss  0.870242, Time  0.264991
2021-09-16 03:11:13.491151 : Epoch  2, Batch   1071, Loss  0.866661, Average Loss  0.871131, Time  0.239806
2021-09-16 03:11:16.032048 : Epoch  4, Batch   1752, Loss  0.870640, Average Loss  0.870184, Time  0.265914
2021-09-16 03:11:16.081677 : Epoch  2, Batch   1072, Loss  0.852761, Average Loss  0.871014, Time  0.239890
2021-09-16 03:11:18.686433 : Epoch  2, Batch   1073, Loss  0.866642, Average Loss  0.871028, Time  0.243769
2021-09-16 03:11:19.065921 : Epoch  4, Batch   1753, Loss  0.847309, Average Loss  0.870103, Time  0.264810
2021-09-16 03:11:21.298393 : Epoch  2, Batch   1074, Loss  0.868344, Average Loss  0.870964, Time  0.239876
2021-09-16 03:11:22.078214 : Epoch  4, Batch   1754, Loss  0.871089, Average Loss  0.870041, Time  0.267005
2021-09-16 03:11:23.897676 : Epoch  2, Batch   1075, Loss  0.862996, Average Loss  0.870989, Time  0.239718
2021-09-16 03:11:25.083924 : Epoch  4, Batch   1755, Loss  0.865496, Average Loss  0.869973, Time  0.266845
2021-09-16 03:11:26.506809 : Epoch  2, Batch   1076, Loss  0.875244, Average Loss  0.870985, Time  0.241529
2021-09-16 03:11:28.100292 : Epoch  4, Batch   1756, Loss  0.876892, Average Loss  0.870047, Time  0.265906
2021-09-16 03:11:29.118159 : Epoch  2, Batch   1077, Loss  0.868029, Average Loss  0.870958, Time  0.240970
2021-09-16 03:11:31.090188 : Epoch  4, Batch   1757, Loss  0.868124, Average Loss  0.870030, Time  0.266116
2021-09-16 03:11:31.721952 : Epoch  2, Batch   1078, Loss  0.887482, Average Loss  0.871009, Time  0.241027
2021-09-16 03:11:34.096834 : Epoch  4, Batch   1758, Loss  0.872752, Average Loss  0.869967, Time  0.266199
2021-09-16 03:11:34.315064 : Epoch  2, Batch   1079, Loss  0.888003, Average Loss  0.871078, Time  0.239864
2021-09-16 03:11:36.941237 : Epoch  2, Batch   1080, Loss  0.855601, Average Loss  0.870997, Time  0.241424
2021-09-16 03:11:37.138229 : Epoch  4, Batch   1759, Loss  0.858791, Average Loss  0.869906, Time  0.265887
2021-09-16 03:11:39.550577 : Epoch  2, Batch   1081, Loss  0.862898, Average Loss  0.871041, Time  0.240225
2021-09-16 03:11:40.152692 : Epoch  4, Batch   1760, Loss  0.883201, Average Loss  0.869949, Time  0.266432
2021-09-16 03:11:42.147672 : Epoch  2, Batch   1082, Loss  0.841027, Average Loss  0.870880, Time  0.240143
2021-09-16 03:11:43.147960 : Epoch  4, Batch   1761, Loss  0.870176, Average Loss  0.869992, Time  0.265419
2021-09-16 03:11:44.743693 : Epoch  2, Batch   1083, Loss  0.872658, Average Loss  0.870891, Time  0.240844
2021-09-16 03:11:46.135034 : Epoch  4, Batch   1762, Loss  0.876764, Average Loss  0.870080, Time  0.265119
2021-09-16 03:11:47.340913 : Epoch  2, Batch   1084, Loss  0.858616, Average Loss  0.870742, Time  0.240178
2021-09-16 03:11:49.145119 : Epoch  4, Batch   1763, Loss  0.878285, Average Loss  0.870010, Time  0.266031
2021-09-16 03:11:49.938812 : Epoch  2, Batch   1085, Loss  0.868501, Average Loss  0.870736, Time  0.240710
2021-09-16 03:11:52.141280 : Epoch  4, Batch   1764, Loss  0.866873, Average Loss  0.870075, Time  0.265829
2021-09-16 03:11:52.542408 : Epoch  2, Batch   1086, Loss  0.875386, Average Loss  0.870753, Time  0.239953
2021-09-16 03:11:55.121100 : Epoch  2, Batch   1087, Loss  0.878039, Average Loss  0.870841, Time  0.240111
2021-09-16 03:11:55.132143 : Epoch  4, Batch   1765, Loss  0.876753, Average Loss  0.870034, Time  0.273765
2021-09-16 03:11:57.721397 : Epoch  2, Batch   1088, Loss  0.862510, Average Loss  0.870828, Time  0.239889
2021-09-16 03:11:58.119195 : Epoch  4, Batch   1766, Loss  0.866949, Average Loss  0.870086, Time  0.266721
2021-09-16 03:12:00.320182 : Epoch  2, Batch   1089, Loss  0.873390, Average Loss  0.870794, Time  0.240222
2021-09-16 03:12:01.142567 : Epoch  4, Batch   1767, Loss  0.884000, Average Loss  0.870122, Time  0.265012
2021-09-16 03:12:02.922028 : Epoch  2, Batch   1090, Loss  0.859093, Average Loss  0.870638, Time  0.245551
2021-09-16 03:12:04.146976 : Epoch  4, Batch   1768, Loss  0.867698, Average Loss  0.870153, Time  0.266650
2021-09-16 03:12:05.517839 : Epoch  2, Batch   1091, Loss  0.845747, Average Loss  0.870447, Time  0.241861
2021-09-16 03:12:07.154514 : Epoch  4, Batch   1769, Loss  0.874826, Average Loss  0.870198, Time  0.265646
2021-09-16 03:12:08.111334 : Epoch  2, Batch   1092, Loss  0.869710, Average Loss  0.870471, Time  0.240147
2021-09-16 03:12:10.145367 : Epoch  4, Batch   1770, Loss  0.858631, Average Loss  0.870201, Time  0.265791
2021-09-16 03:12:10.707184 : Epoch  2, Batch   1093, Loss  0.886043, Average Loss  0.870513, Time  0.240144
2021-09-16 03:12:13.150512 : Epoch  4, Batch   1771, Loss  0.877737, Average Loss  0.870274, Time  0.265937
2021-09-16 03:12:13.303665 : Epoch  2, Batch   1094, Loss  0.877667, Average Loss  0.870584, Time  0.240885
2021-09-16 03:12:15.887045 : Epoch  2, Batch   1095, Loss  0.878688, Average Loss  0.870663, Time  0.241488
2021-09-16 03:12:16.181377 : Epoch  4, Batch   1772, Loss  0.860827, Average Loss  0.870283, Time  0.265670
2021-09-16 03:12:18.486150 : Epoch  2, Batch   1096, Loss  0.859358, Average Loss  0.870636, Time  0.240120
2021-09-16 03:12:19.182833 : Epoch  4, Batch   1773, Loss  0.843084, Average Loss  0.870183, Time  0.265381
2021-09-16 03:12:21.080814 : Epoch  2, Batch   1097, Loss  0.877630, Average Loss  0.870649, Time  0.240781
2021-09-16 03:12:22.192926 : Epoch  4, Batch   1774, Loss  0.865369, Average Loss  0.870357, Time  0.268524
2021-09-16 03:12:23.679722 : Epoch  2, Batch   1098, Loss  0.885576, Average Loss  0.870635, Time  0.240658
2021-09-16 03:12:25.182411 : Epoch  4, Batch   1775, Loss  0.858650, Average Loss  0.870303, Time  0.266314
2021-09-16 03:12:26.276701 : Epoch  2, Batch   1099, Loss  0.856199, Average Loss  0.870499, Time  0.240296
2021-09-16 03:12:28.197004 : Epoch  4, Batch   1776, Loss  0.863955, Average Loss  0.870276, Time  0.266015
2021-09-16 03:12:28.880105 : Epoch  2, Batch   1100, Loss  0.855516, Average Loss  0.870347, Time  0.241160
2021-09-16 03:12:31.197681 : Epoch  4, Batch   1777, Loss  0.866639, Average Loss  0.870214, Time  0.265808
2021-09-16 03:12:31.479851 : Epoch  2, Batch   1101, Loss  0.879597, Average Loss  0.870338, Time  0.241587
2021-09-16 03:12:34.061380 : Epoch  2, Batch   1102, Loss  0.862691, Average Loss  0.870302, Time  0.240093
2021-09-16 03:12:34.187917 : Epoch  4, Batch   1778, Loss  0.854831, Average Loss  0.870150, Time  0.266009
2021-09-16 03:12:36.660013 : Epoch  2, Batch   1103, Loss  0.853286, Average Loss  0.870273, Time  0.241056
2021-09-16 03:12:37.170377 : Epoch  4, Batch   1779, Loss  0.884507, Average Loss  0.870183, Time  0.266118
2021-09-16 03:12:39.274262 : Epoch  2, Batch   1104, Loss  0.895946, Average Loss  0.870465, Time  0.241821
2021-09-16 03:12:40.155853 : Epoch  4, Batch   1780, Loss  0.863054, Average Loss  0.870158, Time  0.277686
2021-09-16 03:12:41.871980 : Epoch  2, Batch   1105, Loss  0.869601, Average Loss  0.870442, Time  0.240207
2021-09-16 03:12:43.163536 : Epoch  4, Batch   1781, Loss  0.872249, Average Loss  0.870063, Time  0.265833
2021-09-16 03:12:44.476855 : Epoch  2, Batch   1106, Loss  0.857264, Average Loss  0.870481, Time  0.240691
2021-09-16 03:12:46.201508 : Epoch  4, Batch   1782, Loss  0.892091, Average Loss  0.870117, Time  0.268864
2021-09-16 03:12:47.071384 : Epoch  2, Batch   1107, Loss  0.872562, Average Loss  0.870451, Time  0.240042
2021-09-16 03:12:49.191651 : Epoch  4, Batch   1783, Loss  0.891005, Average Loss  0.870291, Time  0.266452
2021-09-16 03:12:49.668017 : Epoch  2, Batch   1108, Loss  0.880092, Average Loss  0.870398, Time  0.240085
2021-09-16 03:12:52.197515 : Epoch  4, Batch   1784, Loss  0.871568, Average Loss  0.870240, Time  0.265206
2021-09-16 03:12:52.254348 : Epoch  2, Batch   1109, Loss  0.897397, Average Loss  0.870489, Time  0.240333
2021-09-16 03:12:54.845437 : Epoch  2, Batch   1110, Loss  0.862292, Average Loss  0.870414, Time  0.240450
2021-09-16 03:12:55.186370 : Epoch  4, Batch   1785, Loss  0.889676, Average Loss  0.870360, Time  0.265466
2021-09-16 03:12:57.446110 : Epoch  2, Batch   1111, Loss  0.891341, Average Loss  0.870495, Time  0.240627
2021-09-16 03:12:58.149970 : Epoch  4, Batch   1786, Loss  0.856027, Average Loss  0.870286, Time  0.266224
2021-09-16 03:13:00.045922 : Epoch  2, Batch   1112, Loss  0.856966, Average Loss  0.870425, Time  0.240269
2021-09-16 03:13:01.130011 : Epoch  4, Batch   1787, Loss  0.875668, Average Loss  0.870272, Time  0.265742
2021-09-16 03:13:02.636105 : Epoch  2, Batch   1113, Loss  0.862149, Average Loss  0.870365, Time  0.240989
2021-09-16 03:13:04.113943 : Epoch  4, Batch   1788, Loss  0.877192, Average Loss  0.870236, Time  0.265562
2021-09-16 03:13:05.223988 : Epoch  2, Batch   1114, Loss  0.882673, Average Loss  0.870455, Time  0.241573
2021-09-16 03:13:07.109320 : Epoch  4, Batch   1789, Loss  0.877437, Average Loss  0.870304, Time  0.264750
2021-09-16 03:13:07.818011 : Epoch  2, Batch   1115, Loss  0.895923, Average Loss  0.870574, Time  0.242429
2021-09-16 03:13:10.090267 : Epoch  4, Batch   1790, Loss  0.873324, Average Loss  0.870276, Time  0.266062
2021-09-16 03:13:10.416561 : Epoch  2, Batch   1116, Loss  0.867096, Average Loss  0.870606, Time  0.241491
2021-09-16 03:13:13.006839 : Epoch  2, Batch   1117, Loss  0.865416, Average Loss  0.870530, Time  0.240295
2021-09-16 03:13:13.090520 : Epoch  4, Batch   1791, Loss  0.855235, Average Loss  0.870167, Time  0.266048
2021-09-16 03:13:15.607607 : Epoch  2, Batch   1118, Loss  0.887793, Average Loss  0.870613, Time  0.239980
2021-09-16 03:13:16.079500 : Epoch  4, Batch   1792, Loss  0.880701, Average Loss  0.870267, Time  0.268147
2021-09-16 03:13:18.204819 : Epoch  2, Batch   1119, Loss  0.867507, Average Loss  0.870667, Time  0.240206
2021-09-16 03:13:19.078692 : Epoch  4, Batch   1793, Loss  0.868304, Average Loss  0.870299, Time  0.265599
2021-09-16 03:13:20.806916 : Epoch  2, Batch   1120, Loss  0.907345, Average Loss  0.870845, Time  0.240501
2021-09-16 03:13:22.072657 : Epoch  4, Batch   1794, Loss  0.871223, Average Loss  0.870337, Time  0.265828
2021-09-16 03:13:23.410402 : Epoch  2, Batch   1121, Loss  0.863958, Average Loss  0.870879, Time  0.242131
2021-09-16 03:13:25.084389 : Epoch  4, Batch   1795, Loss  0.868865, Average Loss  0.870297, Time  0.279874
2021-09-16 03:13:26.019642 : Epoch  2, Batch   1122, Loss  0.874322, Average Loss  0.870830, Time  0.241034
2021-09-16 03:13:28.105146 : Epoch  4, Batch   1796, Loss  0.880023, Average Loss  0.870239, Time  0.268434
2021-09-16 03:13:28.637449 : Epoch  2, Batch   1123, Loss  0.883512, Average Loss  0.870937, Time  0.241762
2021-09-16 03:13:31.105358 : Epoch  4, Batch   1797, Loss  0.885668, Average Loss  0.870328, Time  0.267493
2021-09-16 03:13:31.245874 : Epoch  2, Batch   1124, Loss  0.855499, Average Loss  0.870874, Time  0.241008
2021-09-16 03:13:33.833042 : Epoch  2, Batch   1125, Loss  0.868431, Average Loss  0.870796, Time  0.239974
2021-09-16 03:13:34.133781 : Epoch  4, Batch   1798, Loss  0.876296, Average Loss  0.870309, Time  0.265998
2021-09-16 03:13:36.430891 : Epoch  2, Batch   1126, Loss  0.870894, Average Loss  0.870826, Time  0.241312
2021-09-16 03:13:37.136712 : Epoch  4, Batch   1799, Loss  0.867116, Average Loss  0.870335, Time  0.266551
2021-09-16 03:13:39.027872 : Epoch  2, Batch   1127, Loss  0.838417, Average Loss  0.870562, Time  0.241213
2021-09-16 03:13:40.136212 : Epoch  4, Batch   1800, Loss  0.890699, Average Loss  0.870478, Time  0.265139
2021-09-16 03:13:41.623273 : Epoch  2, Batch   1128, Loss  0.892534, Average Loss  0.870691, Time  0.240409
2021-09-16 03:13:43.151769 : Epoch  4, Batch   1801, Loss  0.888556, Average Loss  0.870493, Time  0.266309
2021-09-16 03:13:44.218113 : Epoch  2, Batch   1129, Loss  0.854634, Average Loss  0.870526, Time  0.240139
2021-09-16 03:13:45.488949 : Epoch  2, Batch   1130, Loss  0.853136, Average Loss  0.870543, Time  0.147093
2021-09-16 03:13:46.176335 : Epoch  4, Batch   1802, Loss  0.858942, Average Loss  0.870476, Time  0.266455
2021-09-16 03:13:48.093700 : Epoch  2, Batch   1131, Loss  0.881176, Average Loss  0.870550, Time  0.239965
2021-09-16 03:13:49.174320 : Epoch  4, Batch   1803, Loss  0.879159, Average Loss  0.870612, Time  0.265401
2021-09-16 03:13:50.690196 : Epoch  2, Batch   1132, Loss  0.858302, Average Loss  0.870504, Time  0.241544
2021-09-16 03:13:52.174330 : Epoch  4, Batch   1804, Loss  0.859071, Average Loss  0.870548, Time  0.265546
2021-09-16 03:13:53.293438 : Epoch  2, Batch   1133, Loss  0.895237, Average Loss  0.870592, Time  0.242395
2021-09-16 03:13:55.186761 : Epoch  4, Batch   1805, Loss  0.873262, Average Loss  0.870576, Time  0.265670
2021-09-16 03:13:55.896192 : Epoch  2, Batch   1134, Loss  0.854234, Average Loss  0.870590, Time  0.240119
2021-09-16 03:13:58.188441 : Epoch  4, Batch   1806, Loss  0.868031, Average Loss  0.870589, Time  0.265811
2021-09-16 03:13:58.498354 : Epoch  2, Batch   1135, Loss  0.851462, Average Loss  0.870407, Time  0.240290
2021-09-16 03:14:01.085058 : Epoch  2, Batch   1136, Loss  0.877241, Average Loss  0.870350, Time  0.240640
2021-09-16 03:14:01.202406 : Epoch  4, Batch   1807, Loss  0.883747, Average Loss  0.870684, Time  0.266439
2021-09-16 03:14:03.704852 : Epoch  2, Batch   1137, Loss  0.880909, Average Loss  0.870432, Time  0.251016
2021-09-16 03:14:04.206563 : Epoch  4, Batch   1808, Loss  0.849470, Average Loss  0.870573, Time  0.266352
2021-09-16 03:14:06.318473 : Epoch  2, Batch   1138, Loss  0.869361, Average Loss  0.870429, Time  0.240788
2021-09-16 03:14:07.208506 : Epoch  4, Batch   1809, Loss  0.878247, Average Loss  0.870691, Time  0.265713
2021-09-16 03:14:08.920024 : Epoch  2, Batch   1139, Loss  0.884250, Average Loss  0.870512, Time  0.240196
2021-09-16 03:14:10.204898 : Epoch  4, Batch   1810, Loss  0.869418, Average Loss  0.870765, Time  0.278400
2021-09-16 03:14:11.523902 : Epoch  2, Batch   1140, Loss  0.870032, Average Loss  0.870533, Time  0.240271
2021-09-16 03:14:13.190303 : Epoch  4, Batch   1811, Loss  0.876439, Average Loss  0.870743, Time  0.266167
2021-09-16 03:14:14.120509 : Epoch  2, Batch   1141, Loss  0.864860, Average Loss  0.870467, Time  0.241438
2021-09-16 03:14:16.219813 : Epoch  4, Batch   1812, Loss  0.864105, Average Loss  0.870643, Time  0.266603
2021-09-16 03:14:16.725032 : Epoch  2, Batch   1142, Loss  0.842051, Average Loss  0.870391, Time  0.241304
2021-09-16 03:14:19.211467 : Epoch  4, Batch   1813, Loss  0.852588, Average Loss  0.870453, Time  0.263690
2021-09-16 03:14:19.320314 : Epoch  2, Batch   1143, Loss  0.872439, Average Loss  0.870453, Time  0.241386
2021-09-16 03:14:22.139020 : Epoch  4, Batch   1814, Loss  0.855056, Average Loss  0.870409, Time  0.264500
2021-09-16 03:14:25.139156 : Epoch  4, Batch   1815, Loss  0.866865, Average Loss  0.870486, Time  0.266608
2021-09-16 03:14:28.170978 : Epoch  4, Batch   1816, Loss  0.850800, Average Loss  0.870447, Time  0.268729
2021-09-16 03:14:30.830897 : Epoch  2, Batch   1144, Loss  0.848648, Average Loss  0.870380, Time  0.269480
2021-09-16 03:14:31.171851 : Epoch  4, Batch   1817, Loss  0.863150, Average Loss  0.870454, Time  0.266623
2021-09-16 03:14:34.198546 : Epoch  4, Batch   1818, Loss  0.870739, Average Loss  0.870518, Time  0.265270
2021-09-16 03:14:37.199614 : Epoch  4, Batch   1819, Loss  0.873461, Average Loss  0.870436, Time  0.265623
2021-09-16 03:14:40.232134 : Epoch  4, Batch   1820, Loss  0.856726, Average Loss  0.870334, Time  0.266676
2021-09-16 03:14:43.253104 : Epoch  4, Batch   1821, Loss  0.874491, Average Loss  0.870283, Time  0.265428
2021-09-16 03:14:46.258988 : Epoch  4, Batch   1822, Loss  0.857610, Average Loss  0.870254, Time  0.265683
2021-09-16 03:14:49.289220 : Epoch  4, Batch   1823, Loss  0.887357, Average Loss  0.870408, Time  0.266144
2021-09-16 03:14:52.278838 : Epoch  4, Batch   1824, Loss  0.882335, Average Loss  0.870460, Time  0.265739
2021-09-16 03:14:55.311157 : Epoch  4, Batch   1825, Loss  0.871686, Average Loss  0.870490, Time  0.279920
2021-09-16 03:14:58.327881 : Epoch  4, Batch   1826, Loss  0.866056, Average Loss  0.870436, Time  0.266874
2021-09-16 03:15:01.316454 : Epoch  4, Batch   1827, Loss  0.869729, Average Loss  0.870473, Time  0.265216
2021-09-16 03:15:04.337099 : Epoch  4, Batch   1828, Loss  0.875942, Average Loss  0.870485, Time  0.264951
2021-09-16 03:15:07.324346 : Epoch  4, Batch   1829, Loss  0.861744, Average Loss  0.870441, Time  0.266783
2021-09-16 03:15:10.338116 : Epoch  4, Batch   1830, Loss  0.875562, Average Loss  0.870529, Time  0.266078
2021-09-16 03:15:13.381873 : Epoch  4, Batch   1831, Loss  0.858761, Average Loss  0.870543, Time  0.267541
2021-09-16 03:15:16.444807 : Epoch  4, Batch   1832, Loss  0.861168, Average Loss  0.870695, Time  0.265141
2021-09-16 03:18:33.369765 : CheckPoint: Validation Loss  0.00030036, Best Loss  0.00029477
2021-09-16 03:18:35.974281 : Epoch  2, Batch   1145, Loss  0.859564, Average Loss  0.870292, Time  0.241007
2021-09-16 03:18:38.580799 : Epoch  2, Batch   1146, Loss  0.869702, Average Loss  0.870289, Time  0.239815
2021-09-16 03:18:41.196311 : Epoch  2, Batch   1147, Loss  0.866668, Average Loss  0.870365, Time  0.243584
2021-09-16 03:18:43.818597 : Epoch  2, Batch   1148, Loss  0.878941, Average Loss  0.870486, Time  0.241352
2021-09-16 03:18:46.428100 : Epoch  2, Batch   1149, Loss  0.864969, Average Loss  0.870389, Time  0.240525
2021-09-16 03:18:49.044710 : Epoch  2, Batch   1150, Loss  0.869344, Average Loss  0.870287, Time  0.240668
2021-09-16 03:18:51.662507 : Epoch  2, Batch   1151, Loss  0.883649, Average Loss  0.870258, Time  0.242011
2021-09-16 03:18:54.267178 : Epoch  2, Batch   1152, Loss  0.866417, Average Loss  0.870273, Time  0.240163
2021-09-16 03:18:56.880653 : Epoch  2, Batch   1153, Loss  0.873020, Average Loss  0.870194, Time  0.240539
2021-09-16 03:18:59.478957 : Epoch  2, Batch   1154, Loss  0.874086, Average Loss  0.870220, Time  0.239872
2021-09-16 03:19:02.086574 : Epoch  2, Batch   1155, Loss  0.866165, Average Loss  0.870108, Time  0.240257
2021-09-16 03:19:04.699747 : Epoch  2, Batch   1156, Loss  0.881091, Average Loss  0.870160, Time  0.240841
2021-09-16 03:19:07.308122 : Epoch  2, Batch   1157, Loss  0.887850, Average Loss  0.870388, Time  0.239987
2021-09-16 03:19:09.911884 : Epoch  2, Batch   1158, Loss  0.851335, Average Loss  0.870293, Time  0.241086
2021-09-16 03:19:12.528116 : Epoch  2, Batch   1159, Loss  0.844063, Average Loss  0.870197, Time  0.241055
2021-09-16 03:19:15.142967 : Epoch  2, Batch   1160, Loss  0.883166, Average Loss  0.870281, Time  0.241353
2021-09-16 03:19:17.759550 : Epoch  2, Batch   1161, Loss  0.871339, Average Loss  0.870261, Time  0.240761
2021-09-16 03:19:20.370427 : Epoch  2, Batch   1162, Loss  0.877856, Average Loss  0.870281, Time  0.244010
2021-09-16 03:19:22.988438 : Epoch  2, Batch   1163, Loss  0.871893, Average Loss  0.870390, Time  0.240940
2021-09-16 03:19:25.601441 : Epoch  2, Batch   1164, Loss  0.877304, Average Loss  0.870342, Time  0.240604
2021-09-16 03:19:28.225041 : Epoch  2, Batch   1165, Loss  0.870416, Average Loss  0.870381, Time  0.240803
2021-09-16 03:19:30.850009 : Epoch  2, Batch   1166, Loss  0.862209, Average Loss  0.870302, Time  0.241561
2021-09-16 03:19:33.465222 : Epoch  2, Batch   1167, Loss  0.880995, Average Loss  0.870257, Time  0.240740
2021-09-16 03:19:36.078824 : Epoch  2, Batch   1168, Loss  0.855967, Average Loss  0.870210, Time  0.240818
2021-09-16 03:19:38.699166 : Epoch  2, Batch   1169, Loss  0.865765, Average Loss  0.870250, Time  0.241657
2021-09-16 03:19:41.317957 : Epoch  2, Batch   1170, Loss  0.874708, Average Loss  0.870165, Time  0.241022
2021-09-16 03:19:43.933215 : Epoch  2, Batch   1171, Loss  0.875249, Average Loss  0.870181, Time  0.240253
2021-09-16 03:19:46.545823 : Epoch  2, Batch   1172, Loss  0.878183, Average Loss  0.870189, Time  0.240686
2021-09-16 03:19:49.160494 : Epoch  2, Batch   1173, Loss  0.870428, Average Loss  0.870198, Time  0.240571
2021-09-16 03:19:51.764439 : Epoch  2, Batch   1174, Loss  0.861151, Average Loss  0.870146, Time  0.239856
2021-09-16 03:19:54.374345 : Epoch  2, Batch   1175, Loss  0.880743, Average Loss  0.870200, Time  0.242891
2021-09-16 03:19:54.897534 : CheckPoint: Validation Loss  0.00029976, Best Loss  0.00029379
2021-09-16 03:19:56.975006 : Epoch  2, Batch   1176, Loss  0.876126, Average Loss  0.870230, Time  0.240757
2021-09-16 03:19:57.877136 : Epoch  4, Batch   1833, Loss  0.881639, Average Loss  0.870787, Time  0.267340
2021-09-16 03:19:59.575251 : Epoch  2, Batch   1177, Loss  0.843336, Average Loss  0.870038, Time  0.240979
2021-09-16 03:20:00.896463 : Epoch  4, Batch   1834, Loss  0.868493, Average Loss  0.870769, Time  0.266855
2021-09-16 03:20:02.181784 : Epoch  2, Batch   1178, Loss  0.875341, Average Loss  0.869959, Time  0.240915
2021-09-16 03:20:03.935580 : Epoch  4, Batch   1835, Loss  0.882045, Average Loss  0.870863, Time  0.266156
2021-09-16 03:20:04.804857 : Epoch  2, Batch   1179, Loss  0.879924, Average Loss  0.870001, Time  0.241657
2021-09-16 03:20:06.971343 : Epoch  4, Batch   1836, Loss  0.862115, Average Loss  0.870790, Time  0.266971
2021-09-16 03:20:07.417545 : Epoch  2, Batch   1180, Loss  0.850382, Average Loss  0.869948, Time  0.240613
2021-09-16 03:20:10.002323 : Epoch  4, Batch   1837, Loss  0.885031, Average Loss  0.870742, Time  0.265861
2021-09-16 03:20:10.036899 : Epoch  2, Batch   1181, Loss  0.865524, Average Loss  0.869991, Time  0.242049
2021-09-16 03:20:12.646205 : Epoch  2, Batch   1182, Loss  0.877770, Average Loss  0.869962, Time  0.240237
2021-09-16 03:20:13.026068 : Epoch  4, Batch   1838, Loss  0.865407, Average Loss  0.870732, Time  0.265405
2021-09-16 03:20:15.255910 : Epoch  2, Batch   1183, Loss  0.867960, Average Loss  0.869899, Time  0.240879
2021-09-16 03:20:16.007134 : Epoch  4, Batch   1839, Loss  0.867973, Average Loss  0.870750, Time  0.265683
2021-09-16 03:20:17.872738 : Epoch  2, Batch   1184, Loss  0.901029, Average Loss  0.870113, Time  0.241320
2021-09-16 03:20:19.002121 : Epoch  4, Batch   1840, Loss  0.864509, Average Loss  0.870778, Time  0.266345
2021-09-16 03:20:20.475467 : Epoch  2, Batch   1185, Loss  0.880557, Average Loss  0.870097, Time  0.240986
2021-09-16 03:20:22.025746 : Epoch  4, Batch   1841, Loss  0.860142, Average Loss  0.870683, Time  0.280655
2021-09-16 03:20:23.087086 : Epoch  2, Batch   1186, Loss  0.859495, Average Loss  0.870120, Time  0.240463
2021-09-16 03:20:25.048786 : Epoch  4, Batch   1842, Loss  0.871250, Average Loss  0.870713, Time  0.266929
2021-09-16 03:20:25.717422 : Epoch  2, Batch   1187, Loss  0.861095, Average Loss  0.870075, Time  0.240572
2021-09-16 03:20:28.065796 : Epoch  4, Batch   1843, Loss  0.870294, Average Loss  0.870721, Time  0.265474
2021-09-16 03:20:28.322932 : Epoch  2, Batch   1188, Loss  0.893139, Average Loss  0.870098, Time  0.243027
2021-09-16 03:20:30.922925 : Epoch  2, Batch   1189, Loss  0.881375, Average Loss  0.870253, Time  0.242704
2021-09-16 03:20:31.052227 : Epoch  4, Batch   1844, Loss  0.846833, Average Loss  0.870545, Time  0.265794
2021-09-16 03:20:33.545855 : Epoch  2, Batch   1190, Loss  0.850765, Average Loss  0.870161, Time  0.240891
2021-09-16 03:20:34.036460 : Epoch  4, Batch   1845, Loss  0.856759, Average Loss  0.870436, Time  0.266174
2021-09-16 03:20:36.152877 : Epoch  2, Batch   1191, Loss  0.866040, Average Loss  0.870161, Time  0.241739
2021-09-16 03:20:37.039833 : Epoch  4, Batch   1846, Loss  0.876491, Average Loss  0.870497, Time  0.265789
2021-09-16 03:20:38.764207 : Epoch  2, Batch   1192, Loss  0.889589, Average Loss  0.870261, Time  0.241041
2021-09-16 03:20:40.036544 : Epoch  4, Batch   1847, Loss  0.896796, Average Loss  0.870612, Time  0.265584
2021-09-16 03:20:41.368635 : Epoch  2, Batch   1193, Loss  0.857981, Average Loss  0.870130, Time  0.240446
2021-09-16 03:20:43.069027 : Epoch  4, Batch   1848, Loss  0.890621, Average Loss  0.870752, Time  0.266693
2021-09-16 03:20:43.970485 : Epoch  2, Batch   1194, Loss  0.878048, Average Loss  0.870121, Time  0.240813
2021-09-16 03:20:46.058746 : Epoch  4, Batch   1849, Loss  0.865898, Average Loss  0.870723, Time  0.265688
2021-09-16 03:20:46.577593 : Epoch  2, Batch   1195, Loss  0.891738, Average Loss  0.870203, Time  0.240449
2021-09-16 03:20:49.055101 : Epoch  4, Batch   1850, Loss  0.870137, Average Loss  0.870687, Time  0.266224
2021-09-16 03:20:49.192409 : Epoch  2, Batch   1196, Loss  0.870120, Average Loss  0.869976, Time  0.241218
2021-09-16 03:20:51.795285 : Epoch  2, Batch   1197, Loss  0.872504, Average Loss  0.869956, Time  0.240095
2021-09-16 03:20:52.063039 : Epoch  4, Batch   1851, Loss  0.857075, Average Loss  0.870648, Time  0.265640
2021-09-16 03:20:54.409745 : Epoch  2, Batch   1198, Loss  0.880297, Average Loss  0.870066, Time  0.240021
2021-09-16 03:20:55.040856 : Epoch  4, Batch   1852, Loss  0.879153, Average Loss  0.870681, Time  0.264998
2021-09-16 03:20:57.016031 : Epoch  2, Batch   1199, Loss  0.869352, Average Loss  0.869986, Time  0.240199
2021-09-16 03:20:58.052431 : Epoch  4, Batch   1853, Loss  0.889593, Average Loss  0.870711, Time  0.265461
2021-09-16 03:20:59.633896 : Epoch  2, Batch   1200, Loss  0.890531, Average Loss  0.870074, Time  0.241077
2021-09-16 03:21:01.065109 : Epoch  4, Batch   1854, Loss  0.861098, Average Loss  0.870597, Time  0.266636
2021-09-16 03:21:02.243929 : Epoch  2, Batch   1201, Loss  0.854145, Average Loss  0.869969, Time  0.240828
2021-09-16 03:21:04.061578 : Epoch  4, Batch   1855, Loss  0.879017, Average Loss  0.870634, Time  0.266451
2021-09-16 03:21:04.854881 : Epoch  2, Batch   1202, Loss  0.853223, Average Loss  0.869816, Time  0.240160
2021-09-16 03:21:07.071515 : Epoch  4, Batch   1856, Loss  0.889840, Average Loss  0.870658, Time  0.277092
2021-09-16 03:21:07.099121 : Saving Model after 4-th Epoch.
2021-09-16 03:21:07.468775 : Epoch  2, Batch   1203, Loss  0.895872, Average Loss  0.869994, Time  0.241005
2021-09-16 03:21:08.042018 : Epoch Finished.
2021-09-16 03:21:10.107027 : Epoch  2, Batch   1204, Loss  0.869091, Average Loss  0.870021, Time  0.240035
2021-09-16 03:21:12.714981 : Epoch  2, Batch   1205, Loss  0.871354, Average Loss  0.869919, Time  0.240926
2021-09-16 03:21:15.326875 : Epoch  2, Batch   1206, Loss  0.858750, Average Loss  0.869925, Time  0.240048
2021-09-16 03:21:17.276589 : Batch Shuffled
2021-09-16 03:21:17.944242 : Epoch  2, Batch   1207, Loss  0.851154, Average Loss  0.869869, Time  0.241409
2021-09-16 03:21:20.298664 : Epoch  5, Batch      1, Loss  0.865921, Average Loss  0.870689, Time  0.269375
2021-09-16 03:21:20.560181 : Epoch  2, Batch   1208, Loss  0.861434, Average Loss  0.869848, Time  0.240004
2021-09-16 03:21:23.163665 : Epoch  2, Batch   1209, Loss  0.862064, Average Loss  0.869766, Time  0.240120
2021-09-16 03:21:23.343493 : Epoch  5, Batch      2, Loss  0.847911, Average Loss  0.870658, Time  0.265744
2021-09-16 03:21:25.779052 : Epoch  2, Batch   1210, Loss  0.865398, Average Loss  0.869637, Time  0.241163
2021-09-16 03:21:26.379294 : Epoch  5, Batch      3, Loss  0.855104, Average Loss  0.870598, Time  0.269448
2021-09-16 03:21:28.395405 : Epoch  2, Batch   1211, Loss  0.864597, Average Loss  0.869570, Time  0.239941
2021-09-16 03:21:29.399275 : Epoch  5, Batch      4, Loss  0.864966, Average Loss  0.870559, Time  0.266674
2021-09-16 03:21:31.007887 : Epoch  2, Batch   1212, Loss  0.864640, Average Loss  0.869573, Time  0.240371
2021-09-16 03:21:32.413138 : Epoch  5, Batch      5, Loss  0.886107, Average Loss  0.870591, Time  0.266417
2021-09-16 03:21:33.619123 : Epoch  2, Batch   1213, Loss  0.858696, Average Loss  0.869445, Time  0.240647
2021-09-16 03:21:35.418974 : Epoch  5, Batch      6, Loss  0.873957, Average Loss  0.870576, Time  0.266695
2021-09-16 03:21:36.227660 : Epoch  2, Batch   1214, Loss  0.846610, Average Loss  0.869171, Time  0.241011
2021-09-16 03:21:38.435338 : Epoch  5, Batch      7, Loss  0.858567, Average Loss  0.870465, Time  0.265824
2021-09-16 03:21:38.835204 : Epoch  2, Batch   1215, Loss  0.867641, Average Loss  0.869198, Time  0.240333
2021-09-16 03:21:41.449430 : Epoch  2, Batch   1216, Loss  0.854541, Average Loss  0.869203, Time  0.241421
2021-09-16 03:21:41.453782 : Epoch  5, Batch      8, Loss  0.862203, Average Loss  0.870507, Time  0.265850
2021-09-16 03:21:44.054587 : Epoch  2, Batch   1217, Loss  0.888634, Average Loss  0.869326, Time  0.240153
2021-09-16 03:21:44.522201 : Epoch  5, Batch      9, Loss  0.867562, Average Loss  0.870444, Time  0.266296
2021-09-16 03:21:46.656413 : Epoch  2, Batch   1218, Loss  0.874508, Average Loss  0.869349, Time  0.240047
2021-09-16 03:21:47.513444 : Epoch  5, Batch     10, Loss  0.881141, Average Loss  0.870512, Time  0.267240
2021-09-16 03:21:49.255850 : Epoch  2, Batch   1219, Loss  0.876358, Average Loss  0.869401, Time  0.240027
2021-09-16 03:21:50.520730 : Epoch  5, Batch     11, Loss  0.875349, Average Loss  0.870604, Time  0.266852
2021-09-16 03:21:51.867961 : Epoch  2, Batch   1220, Loss  0.868843, Average Loss  0.869427, Time  0.240714
2021-09-16 03:21:53.516935 : Epoch  5, Batch     12, Loss  0.882158, Average Loss  0.870725, Time  0.277296
2021-09-16 03:21:54.468086 : Epoch  2, Batch   1221, Loss  0.869454, Average Loss  0.869430, Time  0.240123
2021-09-16 03:21:56.544770 : Epoch  5, Batch     13, Loss  0.851474, Average Loss  0.870553, Time  0.266338
2021-09-16 03:21:57.074301 : Epoch  2, Batch   1222, Loss  0.868629, Average Loss  0.869389, Time  0.240159
2021-09-16 03:21:59.546322 : Epoch  5, Batch     14, Loss  0.853506, Average Loss  0.870537, Time  0.265113
2021-09-16 03:21:59.675394 : Epoch  2, Batch   1223, Loss  0.881130, Average Loss  0.869363, Time  0.240002
2021-09-16 03:22:02.276669 : Epoch  2, Batch   1224, Loss  0.888071, Average Loss  0.869428, Time  0.240032
2021-09-16 03:22:02.549785 : Epoch  5, Batch     15, Loss  0.886095, Average Loss  0.870498, Time  0.266977
2021-09-16 03:22:04.892574 : Epoch  2, Batch   1225, Loss  0.891820, Average Loss  0.869619, Time  0.240255
2021-09-16 03:22:05.609305 : Epoch  5, Batch     16, Loss  0.847655, Average Loss  0.870514, Time  0.266397
2021-09-16 03:22:07.497605 : Epoch  2, Batch   1226, Loss  0.868499, Average Loss  0.869657, Time  0.239652
2021-09-16 03:22:08.625529 : Epoch  5, Batch     17, Loss  0.868619, Average Loss  0.870451, Time  0.265715
2021-09-16 03:22:10.116634 : Epoch  2, Batch   1227, Loss  0.901311, Average Loss  0.869928, Time  0.241176
2021-09-16 03:22:11.611063 : Epoch  5, Batch     18, Loss  0.867978, Average Loss  0.870356, Time  0.265277
2021-09-16 03:22:12.730991 : Epoch  2, Batch   1228, Loss  0.880772, Average Loss  0.870015, Time  0.241065
2021-09-16 03:22:14.607576 : Epoch  5, Batch     19, Loss  0.862964, Average Loss  0.870287, Time  0.265928
2021-09-16 03:22:15.349378 : Epoch  2, Batch   1229, Loss  0.863647, Average Loss  0.869884, Time  0.240270
2021-09-16 03:22:17.606016 : Epoch  5, Batch     20, Loss  0.846398, Average Loss  0.870149, Time  0.265459
2021-09-16 03:22:17.967493 : Epoch  2, Batch   1230, Loss  0.859116, Average Loss  0.869861, Time  0.242717
2021-09-16 03:22:20.563647 : Epoch  2, Batch   1231, Loss  0.865921, Average Loss  0.869878, Time  0.240201
2021-09-16 03:22:20.619739 : Epoch  5, Batch     21, Loss  0.864928, Average Loss  0.870056, Time  0.266069
2021-09-16 03:22:23.166969 : Epoch  2, Batch   1232, Loss  0.868296, Average Loss  0.869731, Time  0.240221
2021-09-16 03:22:23.604559 : Epoch  5, Batch     22, Loss  0.856550, Average Loss  0.870099, Time  0.266455
2021-09-16 03:22:25.781901 : Epoch  2, Batch   1233, Loss  0.878866, Average Loss  0.869698, Time  0.242036
2021-09-16 03:22:26.588947 : Epoch  5, Batch     23, Loss  0.866358, Average Loss  0.870048, Time  0.265718
2021-09-16 03:22:28.398422 : Epoch  2, Batch   1234, Loss  0.911938, Average Loss  0.869918, Time  0.240134
2021-09-16 03:22:29.574451 : Epoch  5, Batch     24, Loss  0.875163, Average Loss  0.870143, Time  0.265271
2021-09-16 03:22:31.009744 : Epoch  2, Batch   1235, Loss  0.863499, Average Loss  0.869892, Time  0.241905
2021-09-16 03:22:32.566935 : Epoch  5, Batch     25, Loss  0.865486, Average Loss  0.870206, Time  0.265777
2021-09-16 03:22:33.618399 : Epoch  2, Batch   1236, Loss  0.862302, Average Loss  0.869932, Time  0.239911
2021-09-16 03:22:35.574379 : Epoch  5, Batch     26, Loss  0.868517, Average Loss  0.870328, Time  0.265645
2021-09-16 03:22:36.231176 : Epoch  2, Batch   1237, Loss  0.859861, Average Loss  0.869875, Time  0.240970
2021-09-16 03:22:38.576565 : Epoch  5, Batch     27, Loss  0.868194, Average Loss  0.870287, Time  0.278127
2021-09-16 03:22:38.838406 : Epoch  2, Batch   1238, Loss  0.860263, Average Loss  0.869902, Time  0.240750
2021-09-16 03:22:41.441173 : Epoch  2, Batch   1239, Loss  0.883164, Average Loss  0.869941, Time  0.240757
2021-09-16 03:22:41.593722 : Epoch  5, Batch     28, Loss  0.879362, Average Loss  0.870279, Time  0.266219
2021-09-16 03:22:44.045473 : Epoch  2, Batch   1240, Loss  0.882314, Average Loss  0.870094, Time  0.240299
2021-09-16 03:22:44.567501 : Epoch  5, Batch     29, Loss  0.879179, Average Loss  0.870365, Time  0.266279
2021-09-16 03:22:46.660992 : Epoch  2, Batch   1241, Loss  0.868995, Average Loss  0.870062, Time  0.240350
2021-09-16 03:22:47.543424 : Epoch  5, Batch     30, Loss  0.851127, Average Loss  0.870244, Time  0.265138
2021-09-16 03:22:49.273469 : Epoch  2, Batch   1242, Loss  0.860793, Average Loss  0.870017, Time  0.240129
2021-09-16 03:22:50.538747 : Epoch  5, Batch     31, Loss  0.874922, Average Loss  0.870306, Time  0.265338
2021-09-16 03:22:51.878378 : Epoch  2, Batch   1243, Loss  0.875900, Average Loss  0.870002, Time  0.240476
2021-09-16 03:22:53.531637 : Epoch  5, Batch     32, Loss  0.871879, Average Loss  0.870316, Time  0.265712
2021-09-16 03:22:54.493024 : Epoch  2, Batch   1244, Loss  0.879041, Average Loss  0.870125, Time  0.240058
2021-09-16 03:22:56.561376 : Epoch  5, Batch     33, Loss  0.870186, Average Loss  0.870358, Time  0.266133
2021-09-16 03:22:59.596000 : Epoch  5, Batch     34, Loss  0.872931, Average Loss  0.870490, Time  0.266421
2021-09-16 03:23:02.605732 : Epoch  5, Batch     35, Loss  0.881932, Average Loss  0.870580, Time  0.267188
2021-09-16 03:23:05.599798 : Epoch  5, Batch     36, Loss  0.870625, Average Loss  0.870592, Time  0.265760
2021-09-16 03:23:08.579307 : Epoch  5, Batch     37, Loss  0.883784, Average Loss  0.870631, Time  0.265601
2021-09-16 03:23:11.580946 : Epoch  5, Batch     38, Loss  0.887470, Average Loss  0.870632, Time  0.266455
2021-09-16 03:23:14.571621 : Epoch  5, Batch     39, Loss  0.857820, Average Loss  0.870496, Time  0.265713
2021-09-16 03:23:17.568416 : Epoch  5, Batch     40, Loss  0.874797, Average Loss  0.870580, Time  0.265292
2021-09-16 03:23:20.588893 : Epoch  5, Batch     41, Loss  0.853354, Average Loss  0.870439, Time  0.266472
2021-09-16 03:23:23.612053 : Epoch  5, Batch     42, Loss  0.877997, Average Loss  0.870454, Time  0.278092
2021-09-16 03:23:26.617021 : Epoch  5, Batch     43, Loss  0.879478, Average Loss  0.870518, Time  0.266787
2021-09-16 03:23:29.606132 : Epoch  5, Batch     44, Loss  0.847682, Average Loss  0.870399, Time  0.265833
2021-09-16 03:23:32.609014 : Epoch  5, Batch     45, Loss  0.876295, Average Loss  0.870430, Time  0.265853
2021-09-16 03:23:35.595529 : Epoch  5, Batch     46, Loss  0.876040, Average Loss  0.870545, Time  0.265664
2021-09-16 03:23:38.608496 : Epoch  5, Batch     47, Loss  0.864495, Average Loss  0.870405, Time  0.265284
2021-09-16 03:23:41.616846 : Epoch  5, Batch     48, Loss  0.879460, Average Loss  0.870503, Time  0.266457
2021-09-16 03:23:44.638077 : Epoch  5, Batch     49, Loss  0.865765, Average Loss  0.870486, Time  0.265707
2021-09-16 03:23:47.638252 : Epoch  5, Batch     50, Loss  0.862580, Average Loss  0.870411, Time  0.265372
2021-09-16 03:23:50.657921 : Epoch  5, Batch     51, Loss  0.883914, Average Loss  0.870615, Time  0.266086
2021-09-16 03:23:53.682819 : Epoch  5, Batch     52, Loss  0.878164, Average Loss  0.870551, Time  0.265593
2021-09-16 03:23:56.697350 : Epoch  5, Batch     53, Loss  0.863119, Average Loss  0.870531, Time  0.266586
2021-09-16 03:23:59.687397 : Epoch  5, Batch     54, Loss  0.889626, Average Loss  0.870567, Time  0.265266
2021-09-16 03:24:02.652874 : Epoch  5, Batch     55, Loss  0.863346, Average Loss  0.870537, Time  0.269442
2021-09-16 03:24:05.710863 : Epoch  5, Batch     56, Loss  0.877910, Average Loss  0.870610, Time  0.267929
2021-09-16 03:24:08.738370 : Epoch  5, Batch     57, Loss  0.855648, Average Loss  0.870349, Time  0.274952
2021-09-16 03:24:11.754846 : Epoch  5, Batch     58, Loss  0.864689, Average Loss  0.870325, Time  0.266501
2021-09-16 03:24:14.796980 : Epoch  5, Batch     59, Loss  0.863563, Average Loss  0.870149, Time  0.267731
2021-09-16 03:24:17.787990 : Epoch  5, Batch     60, Loss  0.873989, Average Loss  0.870183, Time  0.265833
2021-09-16 03:24:20.781864 : Epoch  5, Batch     61, Loss  0.887741, Average Loss  0.870327, Time  0.265412
2021-09-16 03:24:23.782418 : Epoch  5, Batch     62, Loss  0.888286, Average Loss  0.870341, Time  0.267587
2021-09-16 03:24:26.819142 : Epoch  5, Batch     63, Loss  0.870516, Average Loss  0.870251, Time  0.265946
2021-09-16 03:24:29.830925 : Epoch  5, Batch     64, Loss  0.868317, Average Loss  0.870172, Time  0.266076
2021-09-16 03:24:32.835611 : Epoch  5, Batch     65, Loss  0.864703, Average Loss  0.870028, Time  0.268306
2021-09-16 03:24:35.841242 : Epoch  5, Batch     66, Loss  0.870570, Average Loss  0.870047, Time  0.266459
2021-09-16 03:24:38.839528 : Epoch  5, Batch     67, Loss  0.881940, Average Loss  0.870156, Time  0.266438
2021-09-16 03:24:41.832773 : Epoch  5, Batch     68, Loss  0.877106, Average Loss  0.870329, Time  0.264958
2021-09-16 03:24:44.828172 : Epoch  5, Batch     69, Loss  0.867256, Average Loss  0.870339, Time  0.265172
2021-09-16 03:24:47.833046 : Epoch  5, Batch     70, Loss  0.841941, Average Loss  0.870291, Time  0.265943
2021-09-16 03:24:50.838175 : Epoch  5, Batch     71, Loss  0.862063, Average Loss  0.870240, Time  0.265583
2021-09-16 03:24:53.866641 : Epoch  5, Batch     72, Loss  0.877544, Average Loss  0.870338, Time  0.276664
2021-09-16 03:24:56.876661 : Epoch  5, Batch     73, Loss  0.870040, Average Loss  0.870375, Time  0.264259
2021-09-16 03:24:59.850562 : Epoch  5, Batch     74, Loss  0.867382, Average Loss  0.870341, Time  0.264936
2021-09-16 03:25:02.851784 : Epoch  5, Batch     75, Loss  0.864833, Average Loss  0.870365, Time  0.266465
2021-09-16 03:25:05.883049 : Epoch  5, Batch     76, Loss  0.885103, Average Loss  0.870542, Time  0.265422
2021-09-16 03:26:58.133504 : CheckPoint: Validation Loss  0.00029811, Best Loss  0.00029477
2021-09-16 03:27:00.787316 : Epoch  2, Batch   1245, Loss  0.862920, Average Loss  0.870148, Time  0.271581
2021-09-16 03:27:03.406169 : Epoch  2, Batch   1246, Loss  0.854334, Average Loss  0.870079, Time  0.249229
2021-09-16 03:27:06.030831 : Epoch  2, Batch   1247, Loss  0.859992, Average Loss  0.870035, Time  0.240756
2021-09-16 03:27:08.660284 : Epoch  2, Batch   1248, Loss  0.865034, Average Loss  0.870196, Time  0.240873
2021-09-16 03:27:11.274204 : Epoch  2, Batch   1249, Loss  0.855108, Average Loss  0.870197, Time  0.241099
2021-09-16 03:27:13.887403 : Epoch  2, Batch   1250, Loss  0.862092, Average Loss  0.870255, Time  0.239950
2021-09-16 03:27:16.510674 : Epoch  2, Batch   1251, Loss  0.858953, Average Loss  0.870202, Time  0.241615
2021-09-16 03:27:19.121095 : Epoch  2, Batch   1252, Loss  0.883389, Average Loss  0.870401, Time  0.241405
2021-09-16 03:27:21.737290 : Epoch  2, Batch   1253, Loss  0.870187, Average Loss  0.870345, Time  0.240288
2021-09-16 03:27:24.351929 : Epoch  2, Batch   1254, Loss  0.853168, Average Loss  0.870315, Time  0.240698
2021-09-16 03:27:26.960467 : Epoch  2, Batch   1255, Loss  0.863419, Average Loss  0.870255, Time  0.240596
2021-09-16 03:27:29.575709 : Epoch  2, Batch   1256, Loss  0.869438, Average Loss  0.870190, Time  0.242902
2021-09-16 03:27:32.198424 : Epoch  2, Batch   1257, Loss  0.901353, Average Loss  0.870173, Time  0.239874
2021-09-16 03:27:34.813845 : Epoch  2, Batch   1258, Loss  0.869588, Average Loss  0.870188, Time  0.242185
2021-09-16 03:27:37.440421 : Epoch  2, Batch   1259, Loss  0.886756, Average Loss  0.870299, Time  0.239790
2021-09-16 03:27:40.053139 : Epoch  2, Batch   1260, Loss  0.865848, Average Loss  0.870232, Time  0.240374
2021-09-16 03:27:42.671863 : Epoch  2, Batch   1261, Loss  0.885588, Average Loss  0.870301, Time  0.240669
2021-09-16 03:27:45.291541 : Epoch  2, Batch   1262, Loss  0.889909, Average Loss  0.870468, Time  0.242162
2021-09-16 03:27:47.898310 : Epoch  2, Batch   1263, Loss  0.886289, Average Loss  0.870576, Time  0.240779
2021-09-16 03:27:50.511020 : Epoch  2, Batch   1264, Loss  0.887853, Average Loss  0.870624, Time  0.241252
2021-09-16 03:27:53.128987 : Epoch  2, Batch   1265, Loss  0.849621, Average Loss  0.870542, Time  0.240470
2021-09-16 03:27:55.740959 : Epoch  2, Batch   1266, Loss  0.862606, Average Loss  0.870414, Time  0.240906
2021-09-16 03:27:58.360671 : Epoch  2, Batch   1267, Loss  0.891708, Average Loss  0.870599, Time  0.239829
2021-09-16 03:28:00.977687 : Epoch  2, Batch   1268, Loss  0.887499, Average Loss  0.870767, Time  0.240375
2021-09-16 03:28:03.595970 : Epoch  2, Batch   1269, Loss  0.879307, Average Loss  0.870811, Time  0.240369
2021-09-16 03:28:06.215169 : Epoch  2, Batch   1270, Loss  0.861033, Average Loss  0.870724, Time  0.240943
2021-09-16 03:28:08.836706 : Epoch  2, Batch   1271, Loss  0.871057, Average Loss  0.870746, Time  0.240474
2021-09-16 03:28:11.462893 : Epoch  2, Batch   1272, Loss  0.862742, Average Loss  0.870796, Time  0.243761
2021-09-16 03:28:14.081507 : Epoch  2, Batch   1273, Loss  0.895458, Average Loss  0.870940, Time  0.240691
2021-09-16 03:28:16.699463 : Epoch  2, Batch   1274, Loss  0.860371, Average Loss  0.870901, Time  0.241535
2021-09-16 03:28:19.324711 : Epoch  2, Batch   1275, Loss  0.875988, Average Loss  0.870966, Time  0.241600
2021-09-16 03:28:21.936050 : Epoch  2, Batch   1276, Loss  0.870173, Average Loss  0.870940, Time  0.240180
2021-09-16 03:28:24.548802 : Epoch  2, Batch   1277, Loss  0.883415, Average Loss  0.871017, Time  0.241472
2021-09-16 03:28:27.168090 : Epoch  2, Batch   1278, Loss  0.877730, Average Loss  0.870968, Time  0.240451
2021-09-16 03:28:29.788865 : Epoch  2, Batch   1279, Loss  0.876312, Average Loss  0.870910, Time  0.241746
2021-09-16 03:28:32.408420 : Epoch  2, Batch   1280, Loss  0.851940, Average Loss  0.870892, Time  0.240082
2021-09-16 03:28:35.025177 : Epoch  2, Batch   1281, Loss  0.868851, Average Loss  0.870921, Time  0.240036
2021-09-16 03:28:37.653826 : Epoch  2, Batch   1282, Loss  0.861991, Average Loss  0.871026, Time  0.241309
2021-09-16 03:28:40.270802 : Epoch  2, Batch   1283, Loss  0.883030, Average Loss  0.871078, Time  0.243191
2021-09-16 03:28:42.901853 : Epoch  2, Batch   1284, Loss  0.878081, Average Loss  0.871175, Time  0.240079
2021-09-16 03:28:45.514357 : Epoch  2, Batch   1285, Loss  0.860750, Average Loss  0.871137, Time  0.242267
2021-09-16 03:28:48.128931 : Epoch  2, Batch   1286, Loss  0.890503, Average Loss  0.871212, Time  0.240148
2021-09-16 03:28:50.753376 : Epoch  2, Batch   1287, Loss  0.867856, Average Loss  0.871161, Time  0.242068
2021-09-16 03:28:53.377179 : Epoch  2, Batch   1288, Loss  0.896112, Average Loss  0.871329, Time  0.240908
2021-09-16 03:28:55.995384 : Epoch  2, Batch   1289, Loss  0.855852, Average Loss  0.871242, Time  0.240615
2021-09-16 03:28:58.613759 : Epoch  2, Batch   1290, Loss  0.856364, Average Loss  0.871228, Time  0.240546
2021-09-16 03:29:01.232189 : Epoch  2, Batch   1291, Loss  0.872556, Average Loss  0.871362, Time  0.240618
2021-09-16 03:29:03.856217 : Epoch  2, Batch   1292, Loss  0.869267, Average Loss  0.871360, Time  0.240306
2021-09-16 03:29:06.476490 : Epoch  2, Batch   1293, Loss  0.881984, Average Loss  0.871339, Time  0.240304
2021-09-16 03:29:09.094841 : Epoch  2, Batch   1294, Loss  0.879176, Average Loss  0.871347, Time  0.241431
2021-09-16 03:29:11.717326 : Epoch  2, Batch   1295, Loss  0.878179, Average Loss  0.871344, Time  0.240174
2021-09-16 03:29:14.342706 : Epoch  2, Batch   1296, Loss  0.884545, Average Loss  0.871470, Time  0.241258
2021-09-16 03:29:16.968416 : Epoch  2, Batch   1297, Loss  0.863671, Average Loss  0.871401, Time  0.240723
2021-09-16 03:29:19.588867 : Epoch  2, Batch   1298, Loss  0.866020, Average Loss  0.871303, Time  0.240214
2021-09-16 03:29:22.209004 : Epoch  2, Batch   1299, Loss  0.846924, Average Loss  0.871256, Time  0.239751
2021-09-16 03:29:24.825389 : Epoch  2, Batch   1300, Loss  0.841762, Average Loss  0.871188, Time  0.239864
2021-09-16 03:29:27.451180 : Epoch  2, Batch   1301, Loss  0.869569, Average Loss  0.871138, Time  0.240641
2021-09-16 03:29:30.063461 : Epoch  2, Batch   1302, Loss  0.853386, Average Loss  0.871091, Time  0.240714
2021-09-16 03:29:32.674618 : Epoch  2, Batch   1303, Loss  0.871971, Average Loss  0.871184, Time  0.241624
2021-09-16 03:29:35.293287 : Epoch  2, Batch   1304, Loss  0.868183, Average Loss  0.871046, Time  0.240374
2021-09-16 03:29:37.904438 : Epoch  2, Batch   1305, Loss  0.886967, Average Loss  0.871132, Time  0.239958
2021-09-16 03:29:40.509086 : Epoch  2, Batch   1306, Loss  0.862811, Average Loss  0.871160, Time  0.240205
2021-09-16 03:29:43.121515 : Epoch  2, Batch   1307, Loss  0.879507, Average Loss  0.871195, Time  0.240077
2021-09-16 03:29:44.873301 : CheckPoint: Validation Loss  0.00030235, Best Loss  0.00029379
2021-09-16 03:29:45.741016 : Epoch  2, Batch   1308, Loss  0.854753, Average Loss  0.871068, Time  0.241188
2021-09-16 03:29:47.862572 : Epoch  5, Batch     77, Loss  0.865820, Average Loss  0.870493, Time  0.266754
2021-09-16 03:29:48.365155 : Epoch  2, Batch   1309, Loss  0.862642, Average Loss  0.870894, Time  0.240251
2021-09-16 03:29:50.842950 : Epoch  5, Batch     78, Loss  0.850565, Average Loss  0.870401, Time  0.265893
2021-09-16 03:29:50.978281 : Epoch  2, Batch   1310, Loss  0.874082, Average Loss  0.870953, Time  0.241917
2021-09-16 03:29:53.604070 : Epoch  2, Batch   1311, Loss  0.867914, Average Loss  0.870836, Time  0.240847
2021-09-16 03:29:53.824630 : Epoch  5, Batch     79, Loss  0.869597, Average Loss  0.870374, Time  0.265785
2021-09-16 03:29:56.223417 : Epoch  2, Batch   1312, Loss  0.878219, Average Loss  0.870943, Time  0.240239
2021-09-16 03:29:56.804212 : Epoch  5, Batch     80, Loss  0.873124, Average Loss  0.870532, Time  0.265446
2021-09-16 03:29:58.848269 : Epoch  2, Batch   1313, Loss  0.871123, Average Loss  0.870987, Time  0.241077
2021-09-16 03:29:59.800918 : Epoch  5, Batch     81, Loss  0.862933, Average Loss  0.870390, Time  0.265316
2021-09-16 03:30:01.472919 : Epoch  2, Batch   1314, Loss  0.858508, Average Loss  0.870867, Time  0.240798
2021-09-16 03:30:02.786019 : Epoch  5, Batch     82, Loss  0.882194, Average Loss  0.870447, Time  0.265840
2021-09-16 03:30:04.104420 : Epoch  2, Batch   1315, Loss  0.856419, Average Loss  0.870669, Time  0.241335
2021-09-16 03:30:05.781167 : Epoch  5, Batch     83, Loss  0.872871, Average Loss  0.870479, Time  0.265162
2021-09-16 03:30:06.723138 : Epoch  2, Batch   1316, Loss  0.885160, Average Loss  0.870759, Time  0.242099
2021-09-16 03:30:08.776442 : Epoch  5, Batch     84, Loss  0.863523, Average Loss  0.870411, Time  0.265984
2021-09-16 03:30:09.339414 : Epoch  2, Batch   1317, Loss  0.862487, Average Loss  0.870745, Time  0.240936
2021-09-16 03:30:11.777993 : Epoch  5, Batch     85, Loss  0.857483, Average Loss  0.870252, Time  0.265735
2021-09-16 03:30:11.956950 : Epoch  2, Batch   1318, Loss  0.899485, Average Loss  0.870803, Time  0.240141
2021-09-16 03:30:14.571943 : Epoch  2, Batch   1319, Loss  0.881748, Average Loss  0.870874, Time  0.240473
2021-09-16 03:30:14.799404 : Epoch  5, Batch     86, Loss  0.874367, Average Loss  0.870303, Time  0.266143
2021-09-16 03:30:17.182137 : Epoch  2, Batch   1320, Loss  0.841727, Average Loss  0.870546, Time  0.241365
2021-09-16 03:30:17.789783 : Epoch  5, Batch     87, Loss  0.897987, Average Loss  0.870443, Time  0.266165
2021-09-16 03:30:19.801909 : Epoch  2, Batch   1321, Loss  0.871808, Average Loss  0.870586, Time  0.240373
2021-09-16 03:30:20.776933 : Epoch  5, Batch     88, Loss  0.879424, Average Loss  0.870403, Time  0.265982
2021-09-16 03:30:22.408563 : Epoch  2, Batch   1322, Loss  0.878333, Average Loss  0.870606, Time  0.240088
2021-09-16 03:30:23.810837 : Epoch  5, Batch     89, Loss  0.863286, Average Loss  0.870342, Time  0.279903
2021-09-16 03:30:25.029404 : Epoch  2, Batch   1323, Loss  0.863581, Average Loss  0.870506, Time  0.240650
2021-09-16 03:30:26.851452 : Epoch  5, Batch     90, Loss  0.878030, Average Loss  0.870324, Time  0.266857
2021-09-16 03:30:27.652655 : Epoch  2, Batch   1324, Loss  0.845715, Average Loss  0.870457, Time  0.242904
2021-09-16 03:30:29.880935 : Epoch  5, Batch     91, Loss  0.879730, Average Loss  0.870320, Time  0.266613
2021-09-16 03:30:30.271989 : Epoch  2, Batch   1325, Loss  0.890731, Average Loss  0.870569, Time  0.240209
2021-09-16 03:30:32.879286 : Epoch  2, Batch   1326, Loss  0.876616, Average Loss  0.870597, Time  0.241337
2021-09-16 03:30:32.913064 : Epoch  5, Batch     92, Loss  0.888615, Average Loss  0.870398, Time  0.266165
2021-09-16 03:30:35.490214 : Epoch  2, Batch   1327, Loss  0.866727, Average Loss  0.870739, Time  0.240258
2021-09-16 03:30:35.935515 : Epoch  5, Batch     93, Loss  0.871457, Average Loss  0.870399, Time  0.266329
2021-09-16 03:30:38.112157 : Epoch  2, Batch   1328, Loss  0.873029, Average Loss  0.870641, Time  0.240111
2021-09-16 03:30:38.936568 : Epoch  5, Batch     94, Loss  0.867785, Average Loss  0.870325, Time  0.268655
2021-09-16 03:30:40.729056 : Epoch  2, Batch   1329, Loss  0.891953, Average Loss  0.870828, Time  0.240188
2021-09-16 03:30:41.957997 : Epoch  5, Batch     95, Loss  0.875888, Average Loss  0.870284, Time  0.268559
2021-09-16 03:30:43.359653 : Epoch  2, Batch   1330, Loss  0.864432, Average Loss  0.870884, Time  0.241042
2021-09-16 03:30:44.988440 : Epoch  5, Batch     96, Loss  0.860811, Average Loss  0.870235, Time  0.265837
2021-09-16 03:30:45.987907 : Epoch  2, Batch   1331, Loss  0.874689, Average Loss  0.870852, Time  0.247406
2021-09-16 03:30:48.009470 : Epoch  5, Batch     97, Loss  0.883560, Average Loss  0.870416, Time  0.266987
2021-09-16 03:30:48.598212 : Epoch  2, Batch   1332, Loss  0.857294, Average Loss  0.870847, Time  0.240175
2021-09-16 03:30:51.068172 : Epoch  5, Batch     98, Loss  0.858310, Average Loss  0.870352, Time  0.268535
2021-09-16 03:30:51.212307 : Epoch  2, Batch   1333, Loss  0.867792, Average Loss  0.870710, Time  0.240485
2021-09-16 03:30:53.830082 : Epoch  2, Batch   1334, Loss  0.869172, Average Loss  0.870784, Time  0.241521
2021-09-16 03:30:54.095817 : Epoch  5, Batch     99, Loss  0.850444, Average Loss  0.870277, Time  0.268631
2021-09-16 03:30:56.451405 : Epoch  2, Batch   1335, Loss  0.861796, Average Loss  0.870836, Time  0.240743
2021-09-16 03:30:57.122157 : Epoch  5, Batch    100, Loss  0.859996, Average Loss  0.870192, Time  0.266757
2021-09-16 03:30:59.077092 : Epoch  2, Batch   1336, Loss  0.861737, Average Loss  0.870758, Time  0.240344
2021-09-16 03:31:00.115925 : Epoch  5, Batch    101, Loss  0.881175, Average Loss  0.870257, Time  0.266554
2021-09-16 03:31:01.700199 : Epoch  2, Batch   1337, Loss  0.895624, Average Loss  0.870832, Time  0.241390
2021-09-16 03:31:03.145433 : Epoch  5, Batch    102, Loss  0.874595, Average Loss  0.870267, Time  0.265728
2021-09-16 03:31:04.324244 : Epoch  2, Batch   1338, Loss  0.890412, Average Loss  0.870937, Time  0.239873
2021-09-16 03:31:06.145072 : Epoch  5, Batch    103, Loss  0.883360, Average Loss  0.870389, Time  0.266052
2021-09-16 03:31:06.947415 : Epoch  2, Batch   1339, Loss  0.859523, Average Loss  0.870814, Time  0.239920
2021-09-16 03:31:09.200290 : Epoch  5, Batch    104, Loss  0.885854, Average Loss  0.870403, Time  0.277781
2021-09-16 03:31:09.557297 : Epoch  2, Batch   1340, Loss  0.877174, Average Loss  0.870849, Time  0.240854
2021-09-16 03:31:12.160436 : Epoch  2, Batch   1341, Loss  0.865262, Average Loss  0.870851, Time  0.240172
2021-09-16 03:31:12.188896 : Epoch  5, Batch    105, Loss  0.889101, Average Loss  0.870497, Time  0.266940
2021-09-16 03:31:14.775847 : Epoch  2, Batch   1342, Loss  0.867361, Average Loss  0.870978, Time  0.241203
2021-09-16 03:31:15.197399 : Epoch  5, Batch    106, Loss  0.874753, Average Loss  0.870487, Time  0.265921
2021-09-16 03:31:17.392083 : Epoch  2, Batch   1343, Loss  0.871490, Average Loss  0.870973, Time  0.240342
2021-09-16 03:31:18.201702 : Epoch  5, Batch    107, Loss  0.852560, Average Loss  0.870359, Time  0.265372
2021-09-16 03:31:20.000462 : Epoch  2, Batch   1344, Loss  0.884196, Average Loss  0.871151, Time  0.240751
2021-09-16 03:31:21.239438 : Epoch  5, Batch    108, Loss  0.868658, Average Loss  0.870368, Time  0.266988
2021-09-16 03:31:24.231925 : Epoch  5, Batch    109, Loss  0.872158, Average Loss  0.870345, Time  0.265610
2021-09-16 03:31:27.217061 : Epoch  5, Batch    110, Loss  0.860572, Average Loss  0.870313, Time  0.264852
2021-09-16 03:31:30.219053 : Epoch  5, Batch    111, Loss  0.879294, Average Loss  0.870289, Time  0.265663
2021-09-16 03:31:33.209992 : Epoch  5, Batch    112, Loss  0.881836, Average Loss  0.870360, Time  0.265646
2021-09-16 03:31:36.197112 : Epoch  5, Batch    113, Loss  0.859358, Average Loss  0.870283, Time  0.265566
2021-09-16 03:31:39.182608 : Epoch  5, Batch    114, Loss  0.856747, Average Loss  0.870273, Time  0.265502
2021-09-16 03:31:42.203112 : Epoch  5, Batch    115, Loss  0.845881, Average Loss  0.870114, Time  0.265190
2021-09-16 03:31:45.217305 : Epoch  5, Batch    116, Loss  0.896097, Average Loss  0.870290, Time  0.265477
2021-09-16 03:31:48.226262 : Epoch  5, Batch    117, Loss  0.863718, Average Loss  0.870393, Time  0.267379
2021-09-16 03:31:51.236410 : Epoch  5, Batch    118, Loss  0.879033, Average Loss  0.870462, Time  0.265562
2021-09-16 03:31:54.251861 : Epoch  5, Batch    119, Loss  0.883214, Average Loss  0.870585, Time  0.278404
2021-09-16 03:31:57.275347 : Epoch  5, Batch    120, Loss  0.854291, Average Loss  0.870536, Time  0.265965
2021-09-16 03:32:00.273734 : Epoch  5, Batch    121, Loss  0.856769, Average Loss  0.870487, Time  0.265733
2021-09-16 03:32:03.259323 : Epoch  5, Batch    122, Loss  0.877310, Average Loss  0.870599, Time  0.265380
2021-09-16 03:32:06.250765 : Epoch  5, Batch    123, Loss  0.858571, Average Loss  0.870470, Time  0.265186
2021-09-16 03:32:09.241826 : Epoch  5, Batch    124, Loss  0.897404, Average Loss  0.870641, Time  0.265592
2021-09-16 03:32:12.248676 : Epoch  5, Batch    125, Loss  0.875289, Average Loss  0.870657, Time  0.266356
2021-09-16 03:32:15.231751 : Epoch  5, Batch    126, Loss  0.866259, Average Loss  0.870527, Time  0.266332
2021-09-16 03:32:18.240974 : Epoch  5, Batch    127, Loss  0.873752, Average Loss  0.870441, Time  0.266139
2021-09-16 03:32:21.238752 : Epoch  5, Batch    128, Loss  0.868339, Average Loss  0.870425, Time  0.265188
2021-09-16 03:32:24.259824 : Epoch  5, Batch    129, Loss  0.873934, Average Loss  0.870346, Time  0.265531
2021-09-16 03:32:27.287206 : Epoch  5, Batch    130, Loss  0.859210, Average Loss  0.870362, Time  0.266825
2021-09-16 03:32:30.286201 : Epoch  5, Batch    131, Loss  0.877034, Average Loss  0.870369, Time  0.265314
2021-09-16 03:32:33.288542 : Epoch  5, Batch    132, Loss  0.847989, Average Loss  0.870223, Time  0.265724
2021-09-16 03:32:36.308319 : Epoch  5, Batch    133, Loss  0.869269, Average Loss  0.870182, Time  0.265512
2021-09-16 03:32:39.301894 : Epoch  5, Batch    134, Loss  0.874847, Average Loss  0.870190, Time  0.273926
2021-09-16 03:32:42.285889 : Epoch  5, Batch    135, Loss  0.859953, Average Loss  0.870213, Time  0.266226
2021-09-16 03:32:45.291029 : Epoch  5, Batch    136, Loss  0.852484, Average Loss  0.870072, Time  0.267819
2021-09-16 03:32:48.314694 : Epoch  5, Batch    137, Loss  0.884257, Average Loss  0.870152, Time  0.266942
2021-09-16 03:32:51.302462 : Epoch  5, Batch    138, Loss  0.863947, Average Loss  0.870116, Time  0.265786
2021-09-16 03:32:54.329779 : Epoch  5, Batch    139, Loss  0.882074, Average Loss  0.870182, Time  0.266246
2021-09-16 03:32:57.370799 : Epoch  5, Batch    140, Loss  0.857665, Average Loss  0.870070, Time  0.265542
2021-09-16 03:33:00.373848 : Epoch  5, Batch    141, Loss  0.867625, Average Loss  0.869980, Time  0.265870
2021-09-16 03:33:03.357677 : Epoch  5, Batch    142, Loss  0.879502, Average Loss  0.869996, Time  0.264977
2021-09-16 03:33:06.360144 : Epoch  5, Batch    143, Loss  0.843520, Average Loss  0.869878, Time  0.265314
2021-09-16 03:33:09.349747 : Epoch  5, Batch    144, Loss  0.881159, Average Loss  0.869830, Time  0.265402
2021-09-16 03:33:12.349033 : Epoch  5, Batch    145, Loss  0.883476, Average Loss  0.869805, Time  0.267219
2021-09-16 03:33:15.355288 : Epoch  5, Batch    146, Loss  0.872336, Average Loss  0.869872, Time  0.265348
2021-09-16 03:33:18.387911 : Epoch  5, Batch    147, Loss  0.878067, Average Loss  0.869866, Time  0.266304
2021-09-16 03:33:21.402271 : Epoch  5, Batch    148, Loss  0.847990, Average Loss  0.869811, Time  0.266358
2021-09-16 03:33:24.422980 : Epoch  5, Batch    149, Loss  0.872277, Average Loss  0.869806, Time  0.273945
2021-09-16 03:33:27.427369 : Epoch  5, Batch    150, Loss  0.878971, Average Loss  0.869860, Time  0.265215
2021-09-16 03:33:30.398429 : Epoch  5, Batch    151, Loss  0.872211, Average Loss  0.869803, Time  0.265371
2021-09-16 03:33:33.384653 : Epoch  5, Batch    152, Loss  0.866983, Average Loss  0.869890, Time  0.266414
2021-09-16 03:33:36.374641 : Epoch  5, Batch    153, Loss  0.865139, Average Loss  0.869825, Time  0.264939
2021-09-16 03:33:39.372114 : Epoch  5, Batch    154, Loss  0.872489, Average Loss  0.869840, Time  0.265088
2021-09-16 03:33:42.396287 : Epoch  5, Batch    155, Loss  0.872680, Average Loss  0.869821, Time  0.266737
2021-09-16 03:33:45.425887 : Epoch  5, Batch    156, Loss  0.876985, Average Loss  0.869886, Time  0.266921
2021-09-16 03:33:48.454081 : Epoch  5, Batch    157, Loss  0.880295, Average Loss  0.870024, Time  0.267116
2021-09-16 03:33:51.494935 : Epoch  5, Batch    158, Loss  0.873197, Average Loss  0.870115, Time  0.265741
2021-09-16 03:33:54.482085 : Epoch  5, Batch    159, Loss  0.880454, Average Loss  0.870183, Time  0.266767
2021-09-16 03:33:57.487409 : Epoch  5, Batch    160, Loss  0.875056, Average Loss  0.870304, Time  0.266565
2021-09-16 03:34:00.494060 : Epoch  5, Batch    161, Loss  0.867031, Average Loss  0.870324, Time  0.266129
2021-09-16 03:34:03.494698 : Epoch  5, Batch    162, Loss  0.871977, Average Loss  0.870330, Time  0.265368
2021-09-16 03:34:06.473618 : Epoch  5, Batch    163, Loss  0.852512, Average Loss  0.870225, Time  0.265384
2021-09-16 03:34:09.494680 : Epoch  5, Batch    164, Loss  0.869768, Average Loss  0.870290, Time  0.276824
2021-09-16 03:34:12.478653 : Epoch  5, Batch    165, Loss  0.881019, Average Loss  0.870323, Time  0.265507
2021-09-16 03:34:15.467573 : Epoch  5, Batch    166, Loss  0.888926, Average Loss  0.870480, Time  0.265946
2021-09-16 03:34:18.489625 : Epoch  5, Batch    167, Loss  0.858414, Average Loss  0.870335, Time  0.266469
2021-09-16 03:34:21.513185 : Epoch  5, Batch    168, Loss  0.864200, Average Loss  0.870244, Time  0.266475
2021-09-16 03:34:24.524319 : Epoch  5, Batch    169, Loss  0.880892, Average Loss  0.870290, Time  0.266209
2021-09-16 03:34:27.521087 : Epoch  5, Batch    170, Loss  0.857326, Average Loss  0.870247, Time  0.265804
2021-09-16 03:34:30.477069 : Epoch  5, Batch    171, Loss  0.882261, Average Loss  0.870309, Time  0.265275
2021-09-16 03:34:33.464716 : Epoch  5, Batch    172, Loss  0.862980, Average Loss  0.870244, Time  0.266099
2021-09-16 03:34:36.495401 : Epoch  5, Batch    173, Loss  0.871688, Average Loss  0.870294, Time  0.266469
2021-09-16 03:34:39.517844 : Epoch  5, Batch    174, Loss  0.881907, Average Loss  0.870326, Time  0.267307
2021-09-16 03:34:42.500659 : Epoch  5, Batch    175, Loss  0.855685, Average Loss  0.870310, Time  0.267618
2021-09-16 03:34:45.493065 : Epoch  5, Batch    176, Loss  0.854458, Average Loss  0.870277, Time  0.265891
2021-09-16 03:35:25.776755 : CheckPoint: Validation Loss  0.00030559, Best Loss  0.00029477
2021-09-16 03:35:28.395644 : Epoch  2, Batch   1345, Loss  0.873576, Average Loss  0.871221, Time  0.241711
2021-09-16 03:35:30.984372 : Epoch  2, Batch   1346, Loss  0.898535, Average Loss  0.871365, Time  0.240387
2021-09-16 03:35:33.569417 : Epoch  2, Batch   1347, Loss  0.894555, Average Loss  0.871504, Time  0.240352
2021-09-16 03:35:36.165701 : Epoch  2, Batch   1348, Loss  0.874624, Average Loss  0.871483, Time  0.240559
2021-09-16 03:35:38.764373 : Epoch  2, Batch   1349, Loss  0.877797, Average Loss  0.871547, Time  0.239768
2021-09-16 03:35:41.367441 : Epoch  2, Batch   1350, Loss  0.889568, Average Loss  0.871648, Time  0.240283
2021-09-16 03:35:43.976444 : Epoch  2, Batch   1351, Loss  0.876991, Average Loss  0.871615, Time  0.239845
2021-09-16 03:35:46.573465 : Epoch  2, Batch   1352, Loss  0.868051, Average Loss  0.871623, Time  0.241364
2021-09-16 03:35:49.147533 : Epoch  2, Batch   1353, Loss  0.866673, Average Loss  0.871591, Time  0.240671
2021-09-16 03:35:51.732773 : Epoch  2, Batch   1354, Loss  0.876255, Average Loss  0.871602, Time  0.239922
2021-09-16 03:35:54.323679 : Epoch  2, Batch   1355, Loss  0.895117, Average Loss  0.871747, Time  0.240130
2021-09-16 03:35:56.904911 : Epoch  2, Batch   1356, Loss  0.859916, Average Loss  0.871641, Time  0.241331
2021-09-16 03:35:59.482188 : Epoch  2, Batch   1357, Loss  0.890673, Average Loss  0.871655, Time  0.240091
2021-09-16 03:36:02.069202 : Epoch  2, Batch   1358, Loss  0.878041, Average Loss  0.871789, Time  0.240413
2021-09-16 03:36:04.660063 : Epoch  2, Batch   1359, Loss  0.869457, Average Loss  0.871916, Time  0.240137
2021-09-16 03:36:07.248738 : Epoch  2, Batch   1360, Loss  0.866365, Average Loss  0.871832, Time  0.239913
2021-09-16 03:36:09.858266 : Epoch  2, Batch   1361, Loss  0.892942, Average Loss  0.871940, Time  0.240035
2021-09-16 03:36:12.443095 : Epoch  2, Batch   1362, Loss  0.868031, Average Loss  0.871891, Time  0.240389
2021-09-16 03:36:15.032292 : Epoch  2, Batch   1363, Loss  0.843417, Average Loss  0.871748, Time  0.240096
2021-09-16 03:36:17.626071 : Epoch  2, Batch   1364, Loss  0.878276, Average Loss  0.871753, Time  0.240264
2021-09-16 03:36:20.221415 : Epoch  2, Batch   1365, Loss  0.874969, Average Loss  0.871776, Time  0.240989
2021-09-16 03:36:22.813422 : Epoch  2, Batch   1366, Loss  0.859046, Average Loss  0.871760, Time  0.240103
2021-09-16 03:36:25.389742 : Epoch  2, Batch   1367, Loss  0.859917, Average Loss  0.871655, Time  0.241313
2021-09-16 03:36:27.982765 : Epoch  2, Batch   1368, Loss  0.883082, Average Loss  0.871790, Time  0.242178
2021-09-16 03:36:30.570244 : Epoch  2, Batch   1369, Loss  0.870228, Average Loss  0.871812, Time  0.240293
2021-09-16 03:36:33.166481 : Epoch  2, Batch   1370, Loss  0.891283, Average Loss  0.871895, Time  0.240167
2021-09-16 03:36:35.752327 : Epoch  2, Batch   1371, Loss  0.850599, Average Loss  0.871772, Time  0.240904
2021-09-16 03:36:38.346083 : Epoch  2, Batch   1372, Loss  0.865092, Average Loss  0.871707, Time  0.241760
2021-09-16 03:36:40.954412 : Epoch  2, Batch   1373, Loss  0.870248, Average Loss  0.871706, Time  0.241328
2021-09-16 03:36:43.569931 : Epoch  2, Batch   1374, Loss  0.876230, Average Loss  0.871781, Time  0.240490
2021-09-16 03:36:46.162981 : Epoch  2, Batch   1375, Loss  0.874376, Average Loss  0.871749, Time  0.240972
2021-09-16 03:36:48.754737 : Epoch  2, Batch   1376, Loss  0.869043, Average Loss  0.871714, Time  0.239795
2021-09-16 03:36:51.347862 : Epoch  2, Batch   1377, Loss  0.891086, Average Loss  0.871953, Time  0.240166
2021-09-16 03:36:53.936459 : Epoch  2, Batch   1378, Loss  0.873423, Average Loss  0.871943, Time  0.239862
2021-09-16 03:36:56.529970 : Epoch  2, Batch   1379, Loss  0.881784, Average Loss  0.871952, Time  0.240524
2021-09-16 03:36:59.104067 : Epoch  2, Batch   1380, Loss  0.880637, Average Loss  0.872104, Time  0.240674
2021-09-16 03:37:01.698950 : Epoch  2, Batch   1381, Loss  0.856702, Average Loss  0.872059, Time  0.240191
2021-09-16 03:37:04.290944 : Epoch  2, Batch   1382, Loss  0.871890, Average Loss  0.872030, Time  0.241023
2021-09-16 03:37:06.878126 : Epoch  2, Batch   1383, Loss  0.855738, Average Loss  0.871969, Time  0.240189
2021-09-16 03:37:09.452111 : Epoch  2, Batch   1384, Loss  0.869000, Average Loss  0.871809, Time  0.240414
2021-09-16 03:37:12.040722 : Epoch  2, Batch   1385, Loss  0.857919, Average Loss  0.871696, Time  0.241286
2021-09-16 03:37:14.626178 : Epoch  2, Batch   1386, Loss  0.871332, Average Loss  0.871755, Time  0.240292
2021-09-16 03:37:17.209133 : Epoch  2, Batch   1387, Loss  0.854194, Average Loss  0.871720, Time  0.240301
2021-09-16 03:37:19.801446 : Epoch  2, Batch   1388, Loss  0.887724, Average Loss  0.871693, Time  0.240582
2021-09-16 03:37:22.387878 : Epoch  2, Batch   1389, Loss  0.873236, Average Loss  0.871653, Time  0.241232
2021-09-16 03:37:24.965761 : Epoch  2, Batch   1390, Loss  0.871352, Average Loss  0.871755, Time  0.239725
2021-09-16 03:37:27.567850 : Epoch  2, Batch   1391, Loss  0.854311, Average Loss  0.871697, Time  0.242733
2021-09-16 03:37:30.145856 : Epoch  2, Batch   1392, Loss  0.861852, Average Loss  0.871558, Time  0.241266
2021-09-16 03:37:32.723633 : Epoch  2, Batch   1393, Loss  0.872453, Average Loss  0.871631, Time  0.240419
2021-09-16 03:37:35.320262 : Epoch  2, Batch   1394, Loss  0.876200, Average Loss  0.871621, Time  0.240941
2021-09-16 03:37:37.908318 : Epoch  2, Batch   1395, Loss  0.867039, Average Loss  0.871498, Time  0.240365
2021-09-16 03:37:40.511163 : Epoch  2, Batch   1396, Loss  0.867266, Average Loss  0.871484, Time  0.240514
2021-09-16 03:37:43.102058 : Epoch  2, Batch   1397, Loss  0.889062, Average Loss  0.871566, Time  0.240414
2021-09-16 03:37:45.691105 : Epoch  2, Batch   1398, Loss  0.903081, Average Loss  0.871680, Time  0.240906
2021-09-16 03:37:48.276828 : Epoch  2, Batch   1399, Loss  0.864608, Average Loss  0.871657, Time  0.241327
2021-09-16 03:37:50.872214 : Epoch  2, Batch   1400, Loss  0.865336, Average Loss  0.871531, Time  0.240719
2021-09-16 03:37:53.471696 : Epoch  2, Batch   1401, Loss  0.856225, Average Loss  0.871541, Time  0.240597
2021-09-16 03:37:56.050992 : Epoch  2, Batch   1402, Loss  0.866738, Average Loss  0.871609, Time  0.240256
2021-09-16 03:37:58.630912 : Epoch  2, Batch   1403, Loss  0.885103, Average Loss  0.871555, Time  0.240067
2021-09-16 03:38:01.219169 : Epoch  2, Batch   1404, Loss  0.871304, Average Loss  0.871566, Time  0.239714
2021-09-16 03:38:03.822000 : Epoch  2, Batch   1405, Loss  0.888790, Average Loss  0.871653, Time  0.241100
2021-09-16 03:38:06.407692 : Epoch  2, Batch   1406, Loss  0.876636, Average Loss  0.871742, Time  0.240165
2021-09-16 03:38:08.985224 : Epoch  2, Batch   1407, Loss  0.878806, Average Loss  0.871881, Time  0.240838
2021-09-16 03:38:11.581395 : Epoch  2, Batch   1408, Loss  0.869269, Average Loss  0.871920, Time  0.240187
2021-09-16 03:38:14.162749 : Epoch  2, Batch   1409, Loss  0.863149, Average Loss  0.871925, Time  0.240117
2021-09-16 03:38:16.748854 : Epoch  2, Batch   1410, Loss  0.861923, Average Loss  0.871908, Time  0.240207
2021-09-16 03:38:19.337885 : Epoch  2, Batch   1411, Loss  0.870470, Average Loss  0.871937, Time  0.240308
2021-09-16 03:38:21.926404 : Epoch  2, Batch   1412, Loss  0.888669, Average Loss  0.872057, Time  0.240798
2021-09-16 03:38:24.514240 : Epoch  2, Batch   1413, Loss  0.872928, Average Loss  0.872128, Time  0.240374
2021-09-16 03:38:27.102369 : Epoch  2, Batch   1414, Loss  0.874849, Average Loss  0.872270, Time  0.241314
2021-09-16 03:38:29.701867 : Epoch  2, Batch   1415, Loss  0.877178, Average Loss  0.872317, Time  0.240702
2021-09-16 03:38:32.293979 : Epoch  2, Batch   1416, Loss  0.871068, Average Loss  0.872400, Time  0.240982
2021-09-16 03:38:34.884355 : Epoch  2, Batch   1417, Loss  0.858891, Average Loss  0.872251, Time  0.240686
2021-09-16 03:38:37.473856 : Epoch  2, Batch   1418, Loss  0.866663, Average Loss  0.872212, Time  0.241293
2021-09-16 03:38:40.059999 : Epoch  2, Batch   1419, Loss  0.906460, Average Loss  0.872363, Time  0.240947
2021-09-16 03:38:42.657508 : Epoch  2, Batch   1420, Loss  0.861779, Average Loss  0.872327, Time  0.239973
2021-09-16 03:38:45.242595 : Epoch  2, Batch   1421, Loss  0.865939, Average Loss  0.872310, Time  0.241297
2021-09-16 03:38:47.824664 : Epoch  2, Batch   1422, Loss  0.876719, Average Loss  0.872350, Time  0.239920
2021-09-16 03:38:50.406863 : Epoch  2, Batch   1423, Loss  0.895719, Average Loss  0.872423, Time  0.240237
2021-09-16 03:38:52.985157 : Epoch  2, Batch   1424, Loss  0.866192, Average Loss  0.872314, Time  0.240594
2021-09-16 03:38:55.576869 : Epoch  2, Batch   1425, Loss  0.848338, Average Loss  0.872096, Time  0.240106
2021-09-16 03:38:58.152742 : Epoch  2, Batch   1426, Loss  0.862254, Average Loss  0.872065, Time  0.239971
2021-09-16 03:39:00.739090 : Epoch  2, Batch   1427, Loss  0.885968, Average Loss  0.871988, Time  0.240162
2021-09-16 03:39:03.324243 : Epoch  2, Batch   1428, Loss  0.870550, Average Loss  0.871937, Time  0.242487
2021-09-16 03:39:05.906779 : Epoch  2, Batch   1429, Loss  0.882477, Average Loss  0.872031, Time  0.241595
2021-09-16 03:39:08.489380 : Epoch  2, Batch   1430, Loss  0.867469, Average Loss  0.872073, Time  0.239969
2021-09-16 03:39:11.062634 : Epoch  2, Batch   1431, Loss  0.878599, Average Loss  0.872137, Time  0.240059
2021-09-16 03:39:13.639098 : Epoch  2, Batch   1432, Loss  0.874366, Average Loss  0.872167, Time  0.240799
2021-09-16 03:39:16.232408 : Epoch  2, Batch   1433, Loss  0.894160, Average Loss  0.872243, Time  0.240780
2021-09-16 03:39:18.819600 : Epoch  2, Batch   1434, Loss  0.888613, Average Loss  0.872127, Time  0.241149
2021-09-16 03:39:21.407459 : Epoch  2, Batch   1435, Loss  0.865807, Average Loss  0.872138, Time  0.244359
2021-09-16 03:39:23.994482 : Epoch  2, Batch   1436, Loss  0.860961, Average Loss  0.872132, Time  0.240711
2021-09-16 03:39:24.516346 : CheckPoint: Validation Loss  0.00030876, Best Loss  0.00029379
2021-09-16 03:39:26.569837 : Epoch  2, Batch   1437, Loss  0.847879, Average Loss  0.872072, Time  0.241028
2021-09-16 03:39:27.510244 : Epoch  5, Batch    177, Loss  0.878538, Average Loss  0.870261, Time  0.267228
2021-09-16 03:39:29.149899 : Epoch  2, Batch   1438, Loss  0.857497, Average Loss  0.872058, Time  0.243176
2021-09-16 03:39:30.486024 : Epoch  5, Batch    178, Loss  0.884925, Average Loss  0.870344, Time  0.265489
2021-09-16 03:39:31.734708 : Epoch  2, Batch   1439, Loss  0.871405, Average Loss  0.871999, Time  0.240090
2021-09-16 03:39:33.466408 : Epoch  5, Batch    179, Loss  0.873667, Average Loss  0.870302, Time  0.267257
2021-09-16 03:39:34.329369 : Epoch  2, Batch   1440, Loss  0.872431, Average Loss  0.871950, Time  0.240210
2021-09-16 03:39:36.438740 : Epoch  5, Batch    180, Loss  0.862384, Average Loss  0.870303, Time  0.274290
2021-09-16 03:39:36.912874 : Epoch  2, Batch   1441, Loss  0.870896, Average Loss  0.871959, Time  0.241109
2021-09-16 03:39:39.419276 : Epoch  5, Batch    181, Loss  0.855769, Average Loss  0.870157, Time  0.265994
2021-09-16 03:39:39.483825 : Epoch  2, Batch   1442, Loss  0.869994, Average Loss  0.872005, Time  0.240257
2021-09-16 03:39:42.070406 : Epoch  2, Batch   1443, Loss  0.859150, Average Loss  0.871921, Time  0.239979
2021-09-16 03:39:42.473505 : Epoch  5, Batch    182, Loss  0.881509, Average Loss  0.870237, Time  0.266627
2021-09-16 03:39:44.652693 : Epoch  2, Batch   1444, Loss  0.834594, Average Loss  0.871699, Time  0.239835
2021-09-16 03:39:45.440958 : Epoch  5, Batch    183, Loss  0.877506, Average Loss  0.870285, Time  0.265060
2021-09-16 03:39:48.437330 : Epoch  5, Batch    184, Loss  0.876454, Average Loss  0.870345, Time  0.264805
2021-09-16 03:39:51.426114 : Epoch  5, Batch    185, Loss  0.862550, Average Loss  0.870357, Time  0.265220
2021-09-16 03:39:54.402399 : Epoch  5, Batch    186, Loss  0.889970, Average Loss  0.870450, Time  0.265202
2021-09-16 03:39:57.396919 : Epoch  5, Batch    187, Loss  0.871897, Average Loss  0.870458, Time  0.266207
2021-09-16 03:40:00.369728 : Epoch  5, Batch    188, Loss  0.866800, Average Loss  0.870558, Time  0.265142
2021-09-16 03:40:03.347372 : Epoch  5, Batch    189, Loss  0.878314, Average Loss  0.870666, Time  0.265783
2021-09-16 03:40:06.349326 : Epoch  5, Batch    190, Loss  0.869616, Average Loss  0.870631, Time  0.266230
2021-09-16 03:40:09.326833 : Epoch  5, Batch    191, Loss  0.863910, Average Loss  0.870467, Time  0.265741
2021-09-16 03:40:12.303824 : Epoch  5, Batch    192, Loss  0.869837, Average Loss  0.870363, Time  0.265232
2021-09-16 03:40:15.306119 : Epoch  5, Batch    193, Loss  0.859272, Average Loss  0.870330, Time  0.265895
2021-09-16 03:40:18.291520 : Epoch  5, Batch    194, Loss  0.883205, Average Loss  0.870395, Time  0.265463
2021-09-16 03:40:21.265957 : Epoch  5, Batch    195, Loss  0.864601, Average Loss  0.870433, Time  0.265346
2021-09-16 03:40:24.248335 : Epoch  5, Batch    196, Loss  0.862613, Average Loss  0.870350, Time  0.272594
2021-09-16 03:40:27.235439 : Epoch  5, Batch    197, Loss  0.876551, Average Loss  0.870285, Time  0.267131
2021-09-16 03:40:30.241047 : Epoch  5, Batch    198, Loss  0.882486, Average Loss  0.870392, Time  0.268102
2021-09-16 03:40:33.223693 : Epoch  5, Batch    199, Loss  0.876102, Average Loss  0.870377, Time  0.266061
2021-09-16 03:40:36.224953 : Epoch  5, Batch    200, Loss  0.884027, Average Loss  0.870348, Time  0.266493
2021-09-16 03:40:39.222989 : Epoch  5, Batch    201, Loss  0.877983, Average Loss  0.870409, Time  0.265427
2021-09-16 03:40:42.207279 : Epoch  5, Batch    202, Loss  0.872329, Average Loss  0.870531, Time  0.266053
2021-09-16 03:40:45.191127 : Epoch  5, Batch    203, Loss  0.864496, Average Loss  0.870578, Time  0.265390
2021-09-16 03:40:48.198815 : Epoch  5, Batch    204, Loss  0.882949, Average Loss  0.870668, Time  0.266486
2021-09-16 03:40:51.225879 : Epoch  5, Batch    205, Loss  0.863923, Average Loss  0.870557, Time  0.265208
2021-09-16 03:40:54.203531 : Epoch  5, Batch    206, Loss  0.865963, Average Loss  0.870517, Time  0.265656
2021-09-16 03:40:57.230621 : Epoch  5, Batch    207, Loss  0.863399, Average Loss  0.870541, Time  0.265368
2021-09-16 03:41:00.217571 : Epoch  5, Batch    208, Loss  0.858786, Average Loss  0.870524, Time  0.266999
2021-09-16 03:41:03.217403 : Epoch  5, Batch    209, Loss  0.874049, Average Loss  0.870556, Time  0.265505
2021-09-16 03:41:06.205053 : Epoch  5, Batch    210, Loss  0.882195, Average Loss  0.870562, Time  0.266362
2021-09-16 03:41:09.209398 : Epoch  5, Batch    211, Loss  0.862119, Average Loss  0.870495, Time  0.270955
2021-09-16 03:41:12.181661 : Epoch  5, Batch    212, Loss  0.884182, Average Loss  0.870506, Time  0.265306
2021-09-16 03:41:15.192275 : Epoch  5, Batch    213, Loss  0.873886, Average Loss  0.870618, Time  0.265279
2021-09-16 03:41:18.189411 : Epoch  5, Batch    214, Loss  0.868051, Average Loss  0.870690, Time  0.265157
2021-09-16 03:41:21.178509 : Epoch  5, Batch    215, Loss  0.855923, Average Loss  0.870539, Time  0.267050
2021-09-16 03:41:24.150726 : Epoch  5, Batch    216, Loss  0.853621, Average Loss  0.870569, Time  0.265922
2021-09-16 03:41:27.105707 : Epoch  5, Batch    217, Loss  0.875990, Average Loss  0.870606, Time  0.265557
2021-09-16 03:41:30.095457 : Epoch  5, Batch    218, Loss  0.880822, Average Loss  0.870670, Time  0.267400
2021-09-16 03:41:33.112679 : Epoch  5, Batch    219, Loss  0.882647, Average Loss  0.870769, Time  0.265520
2021-09-16 03:41:36.081346 : Epoch  5, Batch    220, Loss  0.849847, Average Loss  0.870786, Time  0.266380
2021-09-16 03:41:39.107790 : Epoch  5, Batch    221, Loss  0.877105, Average Loss  0.870847, Time  0.265348
2021-09-16 03:41:42.126653 : Epoch  5, Batch    222, Loss  0.874730, Average Loss  0.870938, Time  0.265401
2021-09-16 03:41:45.137773 : Epoch  5, Batch    223, Loss  0.864209, Average Loss  0.870927, Time  0.265742
2021-09-16 03:41:48.113985 : Epoch  5, Batch    224, Loss  0.860372, Average Loss  0.870853, Time  0.265346
2021-09-16 03:41:51.086767 : Epoch  5, Batch    225, Loss  0.885754, Average Loss  0.870954, Time  0.265795
2021-09-16 03:41:54.078730 : Epoch  5, Batch    226, Loss  0.864210, Average Loss  0.870933, Time  0.278220
2021-09-16 03:41:57.054429 : Epoch  5, Batch    227, Loss  0.880518, Average Loss  0.870995, Time  0.265467
2021-09-16 03:42:00.042215 : Epoch  5, Batch    228, Loss  0.873533, Average Loss  0.870965, Time  0.266174
2021-09-16 03:42:03.028999 : Epoch  5, Batch    229, Loss  0.872681, Average Loss  0.870933, Time  0.266227
2021-09-16 03:42:06.008219 : Epoch  5, Batch    230, Loss  0.849260, Average Loss  0.870924, Time  0.265519
2021-09-16 03:42:08.986113 : Epoch  5, Batch    231, Loss  0.893257, Average Loss  0.871015, Time  0.265039
2021-09-16 03:42:11.982106 : Epoch  5, Batch    232, Loss  0.855800, Average Loss  0.870935, Time  0.266558
2021-09-16 03:42:14.971796 : Epoch  5, Batch    233, Loss  0.865980, Average Loss  0.870914, Time  0.265445
2021-09-16 03:42:17.977064 : Epoch  5, Batch    234, Loss  0.866986, Average Loss  0.870884, Time  0.266064
2021-09-16 03:42:20.993692 : Epoch  5, Batch    235, Loss  0.883793, Average Loss  0.870893, Time  0.265462
2021-09-16 03:42:23.992930 : Epoch  5, Batch    236, Loss  0.872140, Average Loss  0.870901, Time  0.265874
2021-09-16 03:42:27.000254 : Epoch  5, Batch    237, Loss  0.853579, Average Loss  0.870750, Time  0.266676
2021-09-16 03:42:30.021155 : Epoch  5, Batch    238, Loss  0.867561, Average Loss  0.870650, Time  0.266889
2021-09-16 03:42:33.030768 : Epoch  5, Batch    239, Loss  0.861493, Average Loss  0.870669, Time  0.264735
2021-09-16 03:42:36.024832 : Epoch  5, Batch    240, Loss  0.861604, Average Loss  0.870603, Time  0.266989
2021-09-16 03:42:39.019758 : Epoch  5, Batch    241, Loss  0.856800, Average Loss  0.870620, Time  0.278610
2021-09-16 03:42:42.037919 : Epoch  5, Batch    242, Loss  0.855860, Average Loss  0.870509, Time  0.266651
2021-09-16 03:42:45.040916 : Epoch  5, Batch    243, Loss  0.865240, Average Loss  0.870438, Time  0.266038
2021-09-16 03:42:48.038877 : Epoch  5, Batch    244, Loss  0.862202, Average Loss  0.870511, Time  0.265653
2021-09-16 03:42:51.054396 : Epoch  5, Batch    245, Loss  0.874837, Average Loss  0.870503, Time  0.265986
2021-09-16 03:42:54.041143 : Epoch  5, Batch    246, Loss  0.871472, Average Loss  0.870481, Time  0.266301
2021-09-16 03:42:57.054357 : Epoch  5, Batch    247, Loss  0.861309, Average Loss  0.870465, Time  0.266430
2021-09-16 03:43:00.035979 : Epoch  5, Batch    248, Loss  0.857759, Average Loss  0.870356, Time  0.266062
2021-09-16 03:43:03.074670 : Epoch  5, Batch    249, Loss  0.870269, Average Loss  0.870379, Time  0.266680
2021-09-16 03:43:06.090710 : Epoch  5, Batch    250, Loss  0.857666, Average Loss  0.870354, Time  0.264999
2021-09-16 03:43:09.074282 : Epoch  5, Batch    251, Loss  0.856436, Average Loss  0.870217, Time  0.265745
2021-09-16 03:43:12.066105 : Epoch  5, Batch    252, Loss  0.879736, Average Loss  0.870225, Time  0.265028
2021-09-16 03:43:15.069556 : Epoch  5, Batch    253, Loss  0.875446, Average Loss  0.870286, Time  0.265675
2021-09-16 03:43:18.073425 : Epoch  5, Batch    254, Loss  0.876668, Average Loss  0.870221, Time  0.265757
2021-09-16 03:43:21.055905 : Epoch  5, Batch    255, Loss  0.871514, Average Loss  0.870262, Time  0.265002
2021-09-16 03:43:24.061124 : Epoch  5, Batch    256, Loss  0.868866, Average Loss  0.870217, Time  0.273561
2021-09-16 03:43:27.097354 : Epoch  5, Batch    257, Loss  0.878391, Average Loss  0.870331, Time  0.266526
2021-09-16 03:43:30.112837 : Epoch  5, Batch    258, Loss  0.881319, Average Loss  0.870414, Time  0.267268
2021-09-16 03:43:33.116300 : Epoch  5, Batch    259, Loss  0.865846, Average Loss  0.870425, Time  0.266266
2021-09-16 03:43:36.117131 : Epoch  5, Batch    260, Loss  0.879627, Average Loss  0.870454, Time  0.266481
2021-09-16 03:43:39.160482 : Epoch  5, Batch    261, Loss  0.867561, Average Loss  0.870353, Time  0.265534
2021-09-16 03:43:42.165265 : Epoch  5, Batch    262, Loss  0.871564, Average Loss  0.870269, Time  0.266984
2021-09-16 03:43:45.171153 : Epoch  5, Batch    263, Loss  0.899225, Average Loss  0.870413, Time  0.265555
2021-09-16 03:43:48.198112 : Epoch  5, Batch    264, Loss  0.873658, Average Loss  0.870439, Time  0.265191
2021-09-16 03:43:50.635507 : CheckPoint: Validation Loss  0.00030019, Best Loss  0.00029477
2021-09-16 03:43:51.224246 : Epoch  5, Batch    265, Loss  0.879319, Average Loss  0.870512, Time  0.265635
2021-09-16 03:43:53.260342 : Epoch  2, Batch   1445, Loss  0.870108, Average Loss  0.871735, Time  0.241768
2021-09-16 03:43:54.229737 : Epoch  5, Batch    266, Loss  0.862164, Average Loss  0.870470, Time  0.265883
2021-09-16 03:43:55.871006 : Epoch  2, Batch   1446, Loss  0.868661, Average Loss  0.871807, Time  0.241085
2021-09-16 03:43:57.227519 : Epoch  5, Batch    267, Loss  0.872009, Average Loss  0.870421, Time  0.265154
2021-09-16 03:43:58.479845 : Epoch  2, Batch   1447, Loss  0.844535, Average Loss  0.871729, Time  0.242530
2021-09-16 03:44:00.249138 : Epoch  5, Batch    268, Loss  0.887321, Average Loss  0.870472, Time  0.263933
2021-09-16 03:44:01.082878 : Epoch  2, Batch   1448, Loss  0.863514, Average Loss  0.871722, Time  0.240191
2021-09-16 03:44:03.218827 : Epoch  5, Batch    269, Loss  0.874837, Average Loss  0.870510, Time  0.264606
2021-09-16 03:44:03.694140 : Epoch  2, Batch   1449, Loss  0.853531, Average Loss  0.871714, Time  0.240616
2021-09-16 03:44:06.209199 : Epoch  5, Batch    270, Loss  0.863775, Average Loss  0.870619, Time  0.265781
2021-09-16 03:44:06.303476 : Epoch  2, Batch   1450, Loss  0.874424, Average Loss  0.871776, Time  0.242199
2021-09-16 03:44:08.910920 : Epoch  2, Batch   1451, Loss  0.873471, Average Loss  0.871848, Time  0.240895
2021-09-16 03:44:09.217124 : Epoch  5, Batch    271, Loss  0.865764, Average Loss  0.870637, Time  0.279795
2021-09-16 03:44:11.503993 : Epoch  2, Batch   1452, Loss  0.873061, Average Loss  0.871797, Time  0.240533
2021-09-16 03:44:12.238303 : Epoch  5, Batch    272, Loss  0.859767, Average Loss  0.870548, Time  0.265825
2021-09-16 03:44:14.134982 : Epoch  2, Batch   1453, Loss  0.852626, Average Loss  0.871709, Time  0.243029
2021-09-16 03:44:15.235699 : Epoch  5, Batch    273, Loss  0.889500, Average Loss  0.870646, Time  0.265383
2021-09-16 03:44:16.746364 : Epoch  2, Batch   1454, Loss  0.876432, Average Loss  0.871825, Time  0.240872
2021-09-16 03:44:18.240273 : Epoch  5, Batch    274, Loss  0.868902, Average Loss  0.870653, Time  0.265548
2021-09-16 03:44:19.347948 : Epoch  2, Batch   1455, Loss  0.871496, Average Loss  0.871865, Time  0.240342
2021-09-16 03:44:21.233604 : Epoch  5, Batch    275, Loss  0.851071, Average Loss  0.870585, Time  0.265775
2021-09-16 03:44:21.950849 : Epoch  2, Batch   1456, Loss  0.875165, Average Loss  0.871894, Time  0.241887
2021-09-16 03:44:24.276251 : Epoch  5, Batch    276, Loss  0.867871, Average Loss  0.870498, Time  0.265042
2021-09-16 03:44:24.560236 : Epoch  2, Batch   1457, Loss  0.860819, Average Loss  0.871691, Time  0.239969
2021-09-16 03:44:27.158991 : Epoch  2, Batch   1458, Loss  0.880715, Average Loss  0.871747, Time  0.240830
2021-09-16 03:44:29.764918 : Epoch  2, Batch   1459, Loss  0.849368, Average Loss  0.871560, Time  0.239993
2021-09-16 03:44:32.371262 : Epoch  2, Batch   1460, Loss  0.875892, Average Loss  0.871610, Time  0.240895
2021-09-16 03:44:34.975008 : Epoch  2, Batch   1461, Loss  0.875705, Average Loss  0.871561, Time  0.240262
2021-09-16 03:44:37.583551 : Epoch  2, Batch   1462, Loss  0.857051, Average Loss  0.871397, Time  0.240047
2021-09-16 03:44:40.191003 : Epoch  2, Batch   1463, Loss  0.882768, Average Loss  0.871379, Time  0.243723
2021-09-16 03:44:42.810443 : Epoch  2, Batch   1464, Loss  0.866138, Average Loss  0.871270, Time  0.243193
2021-09-16 03:44:45.422860 : Epoch  2, Batch   1465, Loss  0.864078, Average Loss  0.871343, Time  0.240759
2021-09-16 03:44:48.029831 : Epoch  2, Batch   1466, Loss  0.874693, Average Loss  0.871403, Time  0.240704
2021-09-16 03:44:50.633484 : Epoch  2, Batch   1467, Loss  0.864639, Average Loss  0.871268, Time  0.240828
2021-09-16 03:44:53.246056 : Epoch  2, Batch   1468, Loss  0.862868, Average Loss  0.871145, Time  0.240904
2021-09-16 03:44:55.853919 : Epoch  2, Batch   1469, Loss  0.862796, Average Loss  0.871062, Time  0.240775
2021-09-16 03:44:58.471424 : Epoch  2, Batch   1470, Loss  0.873654, Average Loss  0.871125, Time  0.241001
2021-09-16 03:45:01.073439 : Epoch  2, Batch   1471, Loss  0.874312, Average Loss  0.871142, Time  0.240278
2021-09-16 03:45:03.684077 : Epoch  2, Batch   1472, Loss  0.873884, Average Loss  0.871197, Time  0.241620
2021-09-16 03:45:06.293892 : Epoch  2, Batch   1473, Loss  0.860562, Average Loss  0.871023, Time  0.241140
2021-09-16 03:45:08.906312 : Epoch  2, Batch   1474, Loss  0.885502, Average Loss  0.871148, Time  0.240761
2021-09-16 03:45:11.512969 : Epoch  2, Batch   1475, Loss  0.897606, Average Loss  0.871256, Time  0.241671
2021-09-16 03:45:14.112770 : Epoch  2, Batch   1476, Loss  0.895019, Average Loss  0.871381, Time  0.240927
2021-09-16 03:45:16.726355 : Epoch  2, Batch   1477, Loss  0.852678, Average Loss  0.871227, Time  0.240422
2021-09-16 03:45:19.339431 : Epoch  2, Batch   1478, Loss  0.874709, Average Loss  0.871212, Time  0.240692
2021-09-16 03:45:21.946695 : Epoch  2, Batch   1479, Loss  0.883887, Average Loss  0.871250, Time  0.240703
2021-09-16 03:45:24.548910 : Epoch  2, Batch   1480, Loss  0.868937, Average Loss  0.871335, Time  0.240124
2021-09-16 03:45:27.150561 : Epoch  2, Batch   1481, Loss  0.860014, Average Loss  0.871291, Time  0.240150
2021-09-16 03:45:29.758126 : Epoch  2, Batch   1482, Loss  0.874428, Average Loss  0.871353, Time  0.240169
2021-09-16 03:45:32.368974 : Epoch  2, Batch   1483, Loss  0.854642, Average Loss  0.871211, Time  0.240017
2021-09-16 03:45:34.971578 : Epoch  2, Batch   1484, Loss  0.863559, Average Loss  0.871138, Time  0.240583
2021-09-16 03:45:37.578368 : Epoch  2, Batch   1485, Loss  0.862702, Average Loss  0.871148, Time  0.240909
2021-09-16 03:45:40.179819 : Epoch  2, Batch   1486, Loss  0.880961, Average Loss  0.871100, Time  0.240860
2021-09-16 03:45:42.791414 : Epoch  2, Batch   1487, Loss  0.869520, Average Loss  0.871109, Time  0.239753
2021-09-16 03:45:45.401143 : Epoch  2, Batch   1488, Loss  0.868276, Average Loss  0.870969, Time  0.240314
2021-09-16 03:45:47.996724 : Epoch  2, Batch   1489, Loss  0.858351, Average Loss  0.870982, Time  0.240074
2021-09-16 03:45:50.595437 : Epoch  2, Batch   1490, Loss  0.851900, Average Loss  0.870960, Time  0.245508
2021-09-16 03:45:53.188782 : Epoch  2, Batch   1491, Loss  0.878861, Average Loss  0.870991, Time  0.242496
2021-09-16 03:45:55.785005 : Epoch  2, Batch   1492, Loss  0.879543, Average Loss  0.871043, Time  0.241780
2021-09-16 03:45:58.388019 : Epoch  2, Batch   1493, Loss  0.896758, Average Loss  0.871116, Time  0.242270
2021-09-16 03:46:01.001107 : Epoch  2, Batch   1494, Loss  0.877283, Average Loss  0.871107, Time  0.245158
2021-09-16 03:46:03.598695 : Epoch  2, Batch   1495, Loss  0.860952, Average Loss  0.871021, Time  0.240093
2021-09-16 03:46:06.204923 : Epoch  2, Batch   1496, Loss  0.852149, Average Loss  0.870859, Time  0.241771
2021-09-16 03:46:08.809802 : Epoch  2, Batch   1497, Loss  0.864731, Average Loss  0.870864, Time  0.241119
2021-09-16 03:46:11.415249 : Epoch  2, Batch   1498, Loss  0.877333, Average Loss  0.870921, Time  0.240319
2021-09-16 03:46:14.011702 : Epoch  2, Batch   1499, Loss  0.857145, Average Loss  0.870972, Time  0.240665
2021-09-16 03:46:16.604677 : Epoch  2, Batch   1500, Loss  0.884512, Average Loss  0.871186, Time  0.240597
2021-09-16 03:46:19.215064 : Epoch  2, Batch   1501, Loss  0.862470, Average Loss  0.871150, Time  0.241254
2021-09-16 03:46:21.824490 : Epoch  2, Batch   1502, Loss  0.894823, Average Loss  0.871357, Time  0.243340
2021-09-16 03:46:24.425765 : Epoch  2, Batch   1503, Loss  0.859001, Average Loss  0.871292, Time  0.239894
2021-09-16 03:46:27.013105 : Epoch  2, Batch   1504, Loss  0.885158, Average Loss  0.871377, Time  0.241360
2021-09-16 03:46:29.615840 : Epoch  2, Batch   1505, Loss  0.887029, Average Loss  0.871378, Time  0.241667
2021-09-16 03:46:32.210947 : Epoch  2, Batch   1506, Loss  0.848647, Average Loss  0.871307, Time  0.240782
2021-09-16 03:46:34.813775 : Epoch  2, Batch   1507, Loss  0.850570, Average Loss  0.871162, Time  0.241303
2021-09-16 03:46:37.422090 : Epoch  2, Batch   1508, Loss  0.860505, Average Loss  0.871191, Time  0.240623
2021-09-16 03:46:40.032250 : Epoch  2, Batch   1509, Loss  0.899602, Average Loss  0.871376, Time  0.243690
2021-09-16 03:46:42.635691 : Epoch  2, Batch   1510, Loss  0.870115, Average Loss  0.871356, Time  0.240752
2021-09-16 03:46:45.252156 : Epoch  2, Batch   1511, Loss  0.872180, Average Loss  0.871377, Time  0.241517
2021-09-16 03:46:47.841126 : Epoch  2, Batch   1512, Loss  0.856998, Average Loss  0.871271, Time  0.240370
2021-09-16 03:46:50.447928 : Epoch  2, Batch   1513, Loss  0.886279, Average Loss  0.871347, Time  0.240778
2021-09-16 03:46:53.039029 : Epoch  2, Batch   1514, Loss  0.889529, Average Loss  0.871502, Time  0.240194
2021-09-16 03:46:55.637167 : Epoch  2, Batch   1515, Loss  0.882536, Average Loss  0.871632, Time  0.239907
2021-09-16 03:46:58.255765 : Epoch  2, Batch   1516, Loss  0.851718, Average Loss  0.871465, Time  0.241652
2021-09-16 03:47:00.869120 : Epoch  2, Batch   1517, Loss  0.872536, Average Loss  0.871515, Time  0.241151
2021-09-16 03:47:03.467208 : Epoch  2, Batch   1518, Loss  0.880730, Average Loss  0.871422, Time  0.240272
2021-09-16 03:47:06.077333 : Epoch  2, Batch   1519, Loss  0.849380, Average Loss  0.871260, Time  0.241935
2021-09-16 03:47:08.685546 : Epoch  2, Batch   1520, Loss  0.880497, Average Loss  0.871454, Time  0.240448
2021-09-16 03:47:11.288826 : Epoch  2, Batch   1521, Loss  0.882083, Average Loss  0.871505, Time  0.241329
2021-09-16 03:47:13.898892 : Epoch  2, Batch   1522, Loss  0.875448, Average Loss  0.871491, Time  0.240818
2021-09-16 03:47:16.498546 : Epoch  2, Batch   1523, Loss  0.859237, Average Loss  0.871469, Time  0.240340
2021-09-16 03:47:19.103501 : Epoch  2, Batch   1524, Loss  0.875722, Average Loss  0.871619, Time  0.240986
2021-09-16 03:47:21.705792 : Epoch  2, Batch   1525, Loss  0.865551, Average Loss  0.871493, Time  0.240785
2021-09-16 03:47:24.305686 : Epoch  2, Batch   1526, Loss  0.859909, Average Loss  0.871410, Time  0.240301
2021-09-16 03:47:26.922886 : Epoch  2, Batch   1527, Loss  0.854145, Average Loss  0.871347, Time  0.241449
2021-09-16 03:47:29.533997 : Epoch  2, Batch   1528, Loss  0.882594, Average Loss  0.871394, Time  0.240349
2021-09-16 03:47:32.136047 : Epoch  2, Batch   1529, Loss  0.896445, Average Loss  0.871417, Time  0.241120
2021-09-16 03:47:34.753591 : Epoch  2, Batch   1530, Loss  0.883166, Average Loss  0.871511, Time  0.239869
2021-09-16 03:47:37.360015 : Epoch  2, Batch   1531, Loss  0.869436, Average Loss  0.871484, Time  0.240050
2021-09-16 03:47:39.969412 : Epoch  2, Batch   1532, Loss  0.877969, Average Loss  0.871588, Time  0.240289
2021-09-16 03:47:42.575952 : Epoch  2, Batch   1533, Loss  0.870590, Average Loss  0.871602, Time  0.243654
2021-09-16 03:47:45.177449 : Epoch  2, Batch   1534, Loss  0.874665, Average Loss  0.871629, Time  0.240936
2021-09-16 03:47:47.786423 : Epoch  2, Batch   1535, Loss  0.864098, Average Loss  0.871641, Time  0.239803
2021-09-16 03:47:50.398853 : Epoch  2, Batch   1536, Loss  0.885843, Average Loss  0.871761, Time  0.240237
2021-09-16 03:47:53.025763 : Epoch  2, Batch   1537, Loss  0.864718, Average Loss  0.871607, Time  0.240047
2021-09-16 03:47:55.622419 : Epoch  2, Batch   1538, Loss  0.857751, Average Loss  0.871443, Time  0.240148
2021-09-16 03:47:58.231706 : Epoch  2, Batch   1539, Loss  0.859544, Average Loss  0.871443, Time  0.240050
2021-09-16 03:48:00.836593 : Epoch  2, Batch   1540, Loss  0.862914, Average Loss  0.871372, Time  0.242247
2021-09-16 03:48:03.443271 : Epoch  2, Batch   1541, Loss  0.879202, Average Loss  0.871442, Time  0.241264
2021-09-16 03:48:06.045753 : Epoch  2, Batch   1542, Loss  0.860338, Average Loss  0.871407, Time  0.241058
2021-09-16 03:48:08.652968 : Epoch  2, Batch   1543, Loss  0.864979, Average Loss  0.871374, Time  0.240747
2021-09-16 03:48:11.262112 : Epoch  2, Batch   1544, Loss  0.879353, Average Loss  0.871350, Time  0.243088
2021-09-16 03:49:04.843117 : CheckPoint: Validation Loss  0.00030522, Best Loss  0.00029379
2021-09-16 03:49:07.846316 : Epoch  5, Batch    277, Loss  0.849948, Average Loss  0.870419, Time  0.268518
2021-09-16 03:49:10.858527 : Epoch  5, Batch    278, Loss  0.854166, Average Loss  0.870437, Time  0.265907
2021-09-16 03:49:13.892220 : Epoch  5, Batch    279, Loss  0.854115, Average Loss  0.870360, Time  0.266338
2021-09-16 03:49:16.912824 : Epoch  5, Batch    280, Loss  0.877831, Average Loss  0.870383, Time  0.265030
2021-09-16 03:49:19.969494 : Epoch  5, Batch    281, Loss  0.863503, Average Loss  0.870386, Time  0.266556
2021-09-16 03:49:22.996347 : Epoch  5, Batch    282, Loss  0.878775, Average Loss  0.870369, Time  0.266864
2021-09-16 03:49:26.041342 : Epoch  5, Batch    283, Loss  0.893674, Average Loss  0.870473, Time  0.265079
2021-09-16 03:49:29.068287 : Epoch  5, Batch    284, Loss  0.888634, Average Loss  0.870598, Time  0.275297
2021-09-16 03:49:32.129089 : Epoch  5, Batch    285, Loss  0.876749, Average Loss  0.870695, Time  0.265702
2021-09-16 03:49:35.177319 : Epoch  5, Batch    286, Loss  0.870788, Average Loss  0.870677, Time  0.266384
2021-09-16 03:49:38.204409 : Epoch  5, Batch    287, Loss  0.871497, Average Loss  0.870544, Time  0.265536
2021-09-16 03:49:41.251674 : Epoch  5, Batch    288, Loss  0.869092, Average Loss  0.870493, Time  0.266612
2021-09-16 03:49:44.264142 : Epoch  5, Batch    289, Loss  0.888826, Average Loss  0.870620, Time  0.265784
2021-09-16 03:49:47.280510 : Epoch  5, Batch    290, Loss  0.869224, Average Loss  0.870576, Time  0.264839
2021-09-16 03:49:50.306766 : Epoch  5, Batch    291, Loss  0.859765, Average Loss  0.870477, Time  0.265866
2021-09-16 03:49:53.334023 : Epoch  5, Batch    292, Loss  0.877480, Average Loss  0.870421, Time  0.265695
2021-09-16 03:49:56.344631 : Epoch  5, Batch    293, Loss  0.870083, Average Loss  0.870414, Time  0.264678
2021-09-16 03:49:59.361131 : Epoch  5, Batch    294, Loss  0.879043, Average Loss  0.870470, Time  0.265029
2021-09-16 03:50:02.385856 : Epoch  5, Batch    295, Loss  0.852084, Average Loss  0.870351, Time  0.265290
2021-09-16 03:50:05.404552 : Epoch  5, Batch    296, Loss  0.871361, Average Loss  0.870404, Time  0.266247
2021-09-16 03:50:08.449771 : Epoch  5, Batch    297, Loss  0.872514, Average Loss  0.870349, Time  0.266942
2021-09-16 03:50:11.481027 : Epoch  5, Batch    298, Loss  0.884735, Average Loss  0.870481, Time  0.265148
2021-09-16 03:50:14.501571 : Epoch  5, Batch    299, Loss  0.888401, Average Loss  0.870671, Time  0.273508
2021-09-16 03:50:17.521329 : Epoch  5, Batch    300, Loss  0.872519, Average Loss  0.870733, Time  0.266874
2021-09-16 03:50:20.549325 : Epoch  5, Batch    301, Loss  0.856226, Average Loss  0.870609, Time  0.266666
2021-09-16 03:50:23.586424 : Epoch  5, Batch    302, Loss  0.881973, Average Loss  0.870646, Time  0.265829
2021-09-16 03:50:26.635043 : Epoch  5, Batch    303, Loss  0.876092, Average Loss  0.870609, Time  0.266766
2021-09-16 03:50:29.718855 : Epoch  5, Batch    304, Loss  0.883724, Average Loss  0.870599, Time  0.266897
2021-09-16 03:50:32.769859 : Epoch  5, Batch    305, Loss  0.857161, Average Loss  0.870439, Time  0.265972
2021-09-16 03:50:35.823424 : Epoch  5, Batch    306, Loss  0.894193, Average Loss  0.870536, Time  0.266081
2021-09-16 03:50:38.819446 : Epoch  5, Batch    307, Loss  0.864368, Average Loss  0.870595, Time  0.264936
2021-09-16 03:50:41.833982 : Epoch  5, Batch    308, Loss  0.862319, Average Loss  0.870563, Time  0.266194
2021-09-16 03:50:44.880863 : Epoch  5, Batch    309, Loss  0.872065, Average Loss  0.870563, Time  0.265181
2021-09-16 03:50:47.918946 : Epoch  5, Batch    310, Loss  0.880935, Average Loss  0.870665, Time  0.267730
2021-09-16 03:50:50.936543 : Epoch  5, Batch    311, Loss  0.865451, Average Loss  0.870596, Time  0.265735
2021-09-16 03:50:53.986195 : Epoch  5, Batch    312, Loss  0.849937, Average Loss  0.870436, Time  0.265432
2021-09-16 03:50:57.009020 : Epoch  5, Batch    313, Loss  0.860863, Average Loss  0.870444, Time  0.266232
2021-09-16 03:51:00.047834 : Epoch  5, Batch    314, Loss  0.862631, Average Loss  0.870473, Time  0.277105
2021-09-16 03:51:03.084973 : Epoch  5, Batch    315, Loss  0.886458, Average Loss  0.870676, Time  0.265843
2021-09-16 03:51:06.118055 : Epoch  5, Batch    316, Loss  0.857821, Average Loss  0.870484, Time  0.265812
2021-09-16 03:51:09.161914 : Epoch  5, Batch    317, Loss  0.852826, Average Loss  0.870430, Time  0.266735
2021-09-16 03:51:12.195838 : Epoch  5, Batch    318, Loss  0.862656, Average Loss  0.870348, Time  0.266033
2021-09-16 03:51:15.236863 : Epoch  5, Batch    319, Loss  0.868770, Average Loss  0.870276, Time  0.266346
2021-09-16 03:51:18.253471 : Epoch  5, Batch    320, Loss  0.868477, Average Loss  0.870347, Time  0.265972
2021-09-16 03:51:21.271416 : Epoch  5, Batch    321, Loss  0.871064, Average Loss  0.870418, Time  0.265931
2021-09-16 03:51:24.322537 : Epoch  5, Batch    322, Loss  0.862876, Average Loss  0.870346, Time  0.265828
2021-09-16 03:51:27.380039 : Epoch  5, Batch    323, Loss  0.867812, Average Loss  0.870392, Time  0.266207
2021-09-16 03:51:30.408044 : Epoch  5, Batch    324, Loss  0.853989, Average Loss  0.870175, Time  0.266750
2021-09-16 03:51:33.465803 : Epoch  5, Batch    325, Loss  0.868494, Average Loss  0.870141, Time  0.265000
2021-09-16 03:51:36.511471 : Epoch  5, Batch    326, Loss  0.851542, Average Loss  0.870068, Time  0.264727
2021-09-16 03:51:39.508979 : Epoch  5, Batch    327, Loss  0.858844, Average Loss  0.869993, Time  0.265740
2021-09-16 03:51:42.513479 : Epoch  5, Batch    328, Loss  0.871554, Average Loss  0.870009, Time  0.266293
2021-09-16 03:51:45.561818 : Epoch  5, Batch    329, Loss  0.889007, Average Loss  0.870085, Time  0.274487
2021-09-16 03:51:48.617973 : Epoch  5, Batch    330, Loss  0.871904, Average Loss  0.870148, Time  0.265389
2021-09-16 03:51:51.636400 : Epoch  5, Batch    331, Loss  0.871022, Average Loss  0.870118, Time  0.265652
2021-09-16 03:51:54.647718 : Epoch  5, Batch    332, Loss  0.856491, Average Loss  0.870160, Time  0.264853
2021-09-16 03:51:57.665022 : Epoch  5, Batch    333, Loss  0.881595, Average Loss  0.870222, Time  0.265950
2021-09-16 03:52:00.707022 : Epoch  5, Batch    334, Loss  0.846076, Average Loss  0.870078, Time  0.265416
2021-09-16 03:52:03.715868 : Epoch  5, Batch    335, Loss  0.847164, Average Loss  0.870014, Time  0.264854
2021-09-16 03:52:06.742341 : Epoch  5, Batch    336, Loss  0.875878, Average Loss  0.870131, Time  0.265513
2021-09-16 03:52:09.762907 : Epoch  5, Batch    337, Loss  0.889957, Average Loss  0.870160, Time  0.267278
2021-09-16 03:52:12.782113 : Epoch  5, Batch    338, Loss  0.861613, Average Loss  0.870148, Time  0.264779
2021-09-16 03:52:15.796255 : Epoch  5, Batch    339, Loss  0.876070, Average Loss  0.870118, Time  0.266222
2021-09-16 03:52:16.104747 : CheckPoint: Validation Loss  0.00030457, Best Loss  0.00029477
2021-09-16 03:52:18.707763 : Epoch  2, Batch   1545, Loss  0.861309, Average Loss  0.871289, Time  0.241090
2021-09-16 03:52:18.821416 : Epoch  5, Batch    340, Loss  0.865442, Average Loss  0.870157, Time  0.266936
2021-09-16 03:52:21.314847 : Epoch  2, Batch   1546, Loss  0.889528, Average Loss  0.871244, Time  0.240099
2021-09-16 03:52:21.856329 : Epoch  5, Batch    341, Loss  0.865509, Average Loss  0.870146, Time  0.264560
2021-09-16 03:52:23.907990 : Epoch  2, Batch   1547, Loss  0.877579, Average Loss  0.871159, Time  0.240853
2021-09-16 03:52:24.911457 : Epoch  5, Batch    342, Loss  0.880510, Average Loss  0.870151, Time  0.265938
2021-09-16 03:52:26.516977 : Epoch  2, Batch   1548, Loss  0.880487, Average Loss  0.871188, Time  0.241799
2021-09-16 03:52:27.942201 : Epoch  5, Batch    343, Loss  0.845083, Average Loss  0.870159, Time  0.265470
2021-09-16 03:52:29.132887 : Epoch  2, Batch   1549, Loss  0.863215, Average Loss  0.871115, Time  0.241006
2021-09-16 03:52:30.994939 : Epoch  5, Batch    344, Loss  0.870164, Average Loss  0.870104, Time  0.277206
2021-09-16 03:52:31.733546 : Epoch  2, Batch   1550, Loss  0.859776, Average Loss  0.870966, Time  0.240781
2021-09-16 03:52:34.036909 : Epoch  5, Batch    345, Loss  0.869135, Average Loss  0.870033, Time  0.266362
2021-09-16 03:52:34.338085 : Epoch  2, Batch   1551, Loss  0.873387, Average Loss  0.870948, Time  0.243138
2021-09-16 03:52:36.942475 : Epoch  2, Batch   1552, Loss  0.854239, Average Loss  0.870879, Time  0.241027
2021-09-16 03:52:37.077348 : Epoch  5, Batch    346, Loss  0.857361, Average Loss  0.869958, Time  0.265280
2021-09-16 03:52:39.544503 : Epoch  2, Batch   1553, Loss  0.861641, Average Loss  0.870854, Time  0.239940
2021-09-16 03:52:40.076364 : Epoch  5, Batch    347, Loss  0.868393, Average Loss  0.869909, Time  0.265540
2021-09-16 03:52:42.150071 : Epoch  2, Batch   1554, Loss  0.884753, Average Loss  0.870896, Time  0.240457
2021-09-16 03:52:43.099298 : Epoch  5, Batch    348, Loss  0.856761, Average Loss  0.869953, Time  0.265775
2021-09-16 03:52:44.755656 : Epoch  2, Batch   1555, Loss  0.865493, Average Loss  0.870748, Time  0.241071
2021-09-16 03:52:46.120719 : Epoch  5, Batch    349, Loss  0.886398, Average Loss  0.870024, Time  0.266539
2021-09-16 03:52:47.356946 : Epoch  2, Batch   1556, Loss  0.865063, Average Loss  0.870774, Time  0.241003
2021-09-16 03:52:49.159842 : Epoch  5, Batch    350, Loss  0.852258, Average Loss  0.869890, Time  0.265555
2021-09-16 03:52:49.951335 : Epoch  2, Batch   1557, Loss  0.871510, Average Loss  0.870678, Time  0.240376
2021-09-16 03:52:52.202993 : Epoch  5, Batch    351, Loss  0.880489, Average Loss  0.869932, Time  0.266524
2021-09-16 03:52:52.556104 : Epoch  2, Batch   1558, Loss  0.870001, Average Loss  0.870638, Time  0.241941
2021-09-16 03:52:55.167642 : Epoch  2, Batch   1559, Loss  0.876735, Average Loss  0.870674, Time  0.239965
2021-09-16 03:52:55.253194 : Epoch  5, Batch    352, Loss  0.866280, Average Loss  0.869928, Time  0.265243
2021-09-16 03:52:57.794211 : Epoch  2, Batch   1560, Loss  0.866863, Average Loss  0.870677, Time  0.241245
2021-09-16 03:52:58.273818 : Epoch  5, Batch    353, Loss  0.855678, Average Loss  0.869881, Time  0.265274
2021-09-16 03:53:00.401871 : Epoch  2, Batch   1561, Loss  0.869711, Average Loss  0.870561, Time  0.242162
2021-09-16 03:53:01.294296 : Epoch  5, Batch    354, Loss  0.887820, Average Loss  0.869957, Time  0.265620
2021-09-16 03:53:03.015199 : Epoch  2, Batch   1562, Loss  0.868147, Average Loss  0.870561, Time  0.240891
2021-09-16 03:53:04.331916 : Epoch  5, Batch    355, Loss  0.881473, Average Loss  0.870001, Time  0.266035
2021-09-16 03:53:05.632395 : Epoch  2, Batch   1563, Loss  0.909082, Average Loss  0.870890, Time  0.241352
2021-09-16 03:53:07.395766 : Epoch  5, Batch    356, Loss  0.880063, Average Loss  0.870017, Time  0.265993
2021-09-16 03:53:08.242311 : Epoch  2, Batch   1564, Loss  0.863812, Average Loss  0.870817, Time  0.241021
2021-09-16 03:53:10.420754 : Epoch  5, Batch    357, Loss  0.869054, Average Loss  0.869961, Time  0.267275
2021-09-16 03:53:10.853902 : Epoch  2, Batch   1565, Loss  0.871322, Average Loss  0.870799, Time  0.243562
2021-09-16 03:53:13.438339 : Epoch  5, Batch    358, Loss  0.863590, Average Loss  0.869913, Time  0.265951
2021-09-16 03:53:13.453445 : Epoch  2, Batch   1566, Loss  0.852199, Average Loss  0.870765, Time  0.240098
2021-09-16 03:53:16.069551 : Epoch  2, Batch   1567, Loss  0.872355, Average Loss  0.870827, Time  0.240274
2021-09-16 03:53:16.475019 : Epoch  5, Batch    359, Loss  0.869112, Average Loss  0.869856, Time  0.274829
2021-09-16 03:53:18.686473 : Epoch  2, Batch   1568, Loss  0.854351, Average Loss  0.870683, Time  0.240146
2021-09-16 03:53:19.502461 : Epoch  5, Batch    360, Loss  0.864708, Average Loss  0.869804, Time  0.265836
2021-09-16 03:53:21.296413 : Epoch  2, Batch   1569, Loss  0.869402, Average Loss  0.870679, Time  0.240999
2021-09-16 03:53:22.516749 : Epoch  5, Batch    361, Loss  0.860538, Average Loss  0.869772, Time  0.265128
2021-09-16 03:53:23.895706 : Epoch  2, Batch   1570, Loss  0.855644, Average Loss  0.870501, Time  0.240015
2021-09-16 03:53:25.558139 : Epoch  5, Batch    362, Loss  0.881344, Average Loss  0.869819, Time  0.268439
2021-09-16 03:53:26.505437 : Epoch  2, Batch   1571, Loss  0.863454, Average Loss  0.870565, Time  0.240313
2021-09-16 03:53:28.584248 : Epoch  5, Batch    363, Loss  0.862124, Average Loss  0.869867, Time  0.266461
2021-09-16 03:53:29.110810 : Epoch  2, Batch   1572, Loss  0.897284, Average Loss  0.870726, Time  0.240774
2021-09-16 03:53:31.649670 : Epoch  5, Batch    364, Loss  0.850843, Average Loss  0.869772, Time  0.265256
2021-09-16 03:53:31.708412 : Epoch  2, Batch   1573, Loss  0.843730, Average Loss  0.870594, Time  0.240057
2021-09-16 03:53:34.314427 : Epoch  2, Batch   1574, Loss  0.884396, Average Loss  0.870635, Time  0.239960
2021-09-16 03:53:34.663552 : Epoch  5, Batch    365, Loss  0.863021, Average Loss  0.869682, Time  0.265182
2021-09-16 03:53:36.935262 : Epoch  2, Batch   1575, Loss  0.829844, Average Loss  0.870412, Time  0.240191
2021-09-16 03:53:37.705377 : Epoch  5, Batch    366, Loss  0.868271, Average Loss  0.869579, Time  0.265383
2021-09-16 03:53:39.552206 : Epoch  2, Batch   1576, Loss  0.851794, Average Loss  0.870326, Time  0.242446
2021-09-16 03:53:40.734478 : Epoch  5, Batch    367, Loss  0.871213, Average Loss  0.869643, Time  0.265211
2021-09-16 03:53:42.184225 : Epoch  2, Batch   1577, Loss  0.848848, Average Loss  0.870114, Time  0.240321
2021-09-16 03:53:43.761884 : Epoch  5, Batch    368, Loss  0.879292, Average Loss  0.869718, Time  0.265781
2021-09-16 03:53:44.792403 : Epoch  2, Batch   1578, Loss  0.868676, Average Loss  0.870091, Time  0.241206
2021-09-16 03:53:46.771805 : Epoch  5, Batch    369, Loss  0.866095, Average Loss  0.869644, Time  0.264992
2021-09-16 03:53:47.387816 : Epoch  2, Batch   1579, Loss  0.872658, Average Loss  0.870045, Time  0.243018
2021-09-16 03:53:49.814421 : Epoch  5, Batch    370, Loss  0.868402, Average Loss  0.869700, Time  0.267539
2021-09-16 03:53:49.997204 : Epoch  2, Batch   1580, Loss  0.861104, Average Loss  0.869947, Time  0.241021
2021-09-16 03:53:52.597062 : Epoch  2, Batch   1581, Loss  0.854876, Average Loss  0.869938, Time  0.240782
2021-09-16 03:53:52.896473 : Epoch  5, Batch    371, Loss  0.857189, Average Loss  0.869574, Time  0.266749
2021-09-16 03:53:55.205766 : Epoch  2, Batch   1582, Loss  0.887403, Average Loss  0.870016, Time  0.240431
2021-09-16 03:53:55.926304 : Epoch  5, Batch    372, Loss  0.870558, Average Loss  0.869612, Time  0.266040
2021-09-16 03:53:57.817738 : Epoch  2, Batch   1583, Loss  0.879407, Average Loss  0.870134, Time  0.240160
2021-09-16 03:53:58.949861 : Epoch  5, Batch    373, Loss  0.856980, Average Loss  0.869539, Time  0.265635
2021-09-16 03:54:00.419894 : Epoch  2, Batch   1584, Loss  0.845315, Average Loss  0.870016, Time  0.240479
2021-09-16 03:54:01.997384 : Epoch  5, Batch    374, Loss  0.863078, Average Loss  0.869444, Time  0.278193
2021-09-16 03:54:03.035176 : Epoch  2, Batch   1585, Loss  0.867848, Average Loss  0.870065, Time  0.241523
2021-09-16 03:54:05.020909 : Epoch  5, Batch    375, Loss  0.885327, Average Loss  0.869593, Time  0.266838
2021-09-16 03:54:05.645757 : Epoch  2, Batch   1586, Loss  0.876338, Average Loss  0.870090, Time  0.240099
2021-09-16 03:54:08.078855 : Epoch  5, Batch    376, Loss  0.890204, Average Loss  0.869771, Time  0.265449
2021-09-16 03:54:08.254938 : Epoch  2, Batch   1587, Loss  0.874843, Average Loss  0.870194, Time  0.240826
2021-09-16 03:54:10.851165 : Epoch  2, Batch   1588, Loss  0.877361, Average Loss  0.870142, Time  0.240411
2021-09-16 03:54:13.458639 : Epoch  2, Batch   1589, Loss  0.879027, Average Loss  0.870171, Time  0.241354
2021-09-16 03:54:16.062182 : Epoch  2, Batch   1590, Loss  0.863699, Average Loss  0.870133, Time  0.240810
2021-09-16 03:54:18.668732 : Epoch  2, Batch   1591, Loss  0.897292, Average Loss  0.870348, Time  0.240243
2021-09-16 03:54:21.277407 : Epoch  2, Batch   1592, Loss  0.851349, Average Loss  0.870295, Time  0.240067
2021-09-16 03:54:23.885621 : Epoch  2, Batch   1593, Loss  0.882863, Average Loss  0.870347, Time  0.241152
2021-09-16 03:54:26.491822 : Epoch  2, Batch   1594, Loss  0.872925, Average Loss  0.870331, Time  0.240061
2021-09-16 03:54:29.087994 : Epoch  2, Batch   1595, Loss  0.887376, Average Loss  0.870432, Time  0.239990
2021-09-16 03:54:31.707685 : Epoch  2, Batch   1596, Loss  0.884958, Average Loss  0.870521, Time  0.241030
2021-09-16 03:54:34.320015 : Epoch  2, Batch   1597, Loss  0.851656, Average Loss  0.870334, Time  0.240287
2021-09-16 03:54:36.930960 : Epoch  2, Batch   1598, Loss  0.870244, Average Loss  0.870170, Time  0.241083
2021-09-16 03:54:39.538420 : Epoch  2, Batch   1599, Loss  0.868383, Average Loss  0.870188, Time  0.241922
2021-09-16 03:54:42.155086 : Epoch  2, Batch   1600, Loss  0.886409, Average Loss  0.870294, Time  0.240419
2021-09-16 03:54:44.766479 : Epoch  2, Batch   1601, Loss  0.874207, Average Loss  0.870384, Time  0.241012
2021-09-16 03:54:47.376367 : Epoch  2, Batch   1602, Loss  0.884402, Average Loss  0.870472, Time  0.243550
2021-09-16 03:54:50.000647 : Epoch  2, Batch   1603, Loss  0.876483, Average Loss  0.870429, Time  0.240342
2021-09-16 03:54:52.609354 : Epoch  2, Batch   1604, Loss  0.856256, Average Loss  0.870354, Time  0.241197
2021-09-16 03:54:55.207068 : Epoch  2, Batch   1605, Loss  0.884853, Average Loss  0.870334, Time  0.240286
2021-09-16 03:54:57.816296 : Epoch  2, Batch   1606, Loss  0.892650, Average Loss  0.870414, Time  0.242458
2021-09-16 03:55:00.419194 : Epoch  2, Batch   1607, Loss  0.884969, Average Loss  0.870445, Time  0.240624
2021-09-16 03:55:03.022242 : Epoch  2, Batch   1608, Loss  0.892946, Average Loss  0.870563, Time  0.240558
2021-09-16 03:55:05.630731 : Epoch  2, Batch   1609, Loss  0.859170, Average Loss  0.870543, Time  0.240008
2021-09-16 03:55:08.238049 : Epoch  2, Batch   1610, Loss  0.883876, Average Loss  0.870653, Time  0.240233
2021-09-16 03:55:10.846320 : Epoch  2, Batch   1611, Loss  0.874236, Average Loss  0.870672, Time  0.240968
2021-09-16 03:55:13.457813 : Epoch  2, Batch   1612, Loss  0.863557, Average Loss  0.870546, Time  0.241111
2021-09-16 03:55:16.060412 : Epoch  2, Batch   1613, Loss  0.898377, Average Loss  0.870674, Time  0.240741
2021-09-16 03:55:18.673318 : Epoch  2, Batch   1614, Loss  0.890921, Average Loss  0.870754, Time  0.241111
2021-09-16 03:55:21.286130 : Epoch  2, Batch   1615, Loss  0.871997, Average Loss  0.870728, Time  0.242705
2021-09-16 03:55:23.884687 : Epoch  2, Batch   1616, Loss  0.869364, Average Loss  0.870720, Time  0.239725
2021-09-16 03:55:26.494754 : Epoch  2, Batch   1617, Loss  0.886714, Average Loss  0.870859, Time  0.243459
2021-09-16 03:55:29.153221 : Epoch  2, Batch   1618, Loss  0.864948, Average Loss  0.870850, Time  0.240938
2021-09-16 03:55:31.768976 : Epoch  2, Batch   1619, Loss  0.865432, Average Loss  0.870645, Time  0.240479
2021-09-16 03:55:34.374678 : Epoch  2, Batch   1620, Loss  0.887666, Average Loss  0.870774, Time  0.242691
2021-09-16 03:55:36.990999 : Epoch  2, Batch   1621, Loss  0.873487, Average Loss  0.870812, Time  0.241272
2021-09-16 03:55:39.585718 : Epoch  2, Batch   1622, Loss  0.866194, Average Loss  0.870760, Time  0.241479
2021-09-16 03:55:42.192188 : Epoch  2, Batch   1623, Loss  0.844540, Average Loss  0.870504, Time  0.242069
2021-09-16 03:55:44.800834 : Epoch  2, Batch   1624, Loss  0.870656, Average Loss  0.870526, Time  0.241005
2021-09-16 03:55:47.406625 : Epoch  2, Batch   1625, Loss  0.889252, Average Loss  0.870731, Time  0.240474
2021-09-16 03:55:50.004270 : Epoch  2, Batch   1626, Loss  0.877003, Average Loss  0.870804, Time  0.240334
2021-09-16 03:55:52.607663 : Epoch  2, Batch   1627, Loss  0.856515, Average Loss  0.870657, Time  0.242863
2021-09-16 03:55:55.214150 : Epoch  2, Batch   1628, Loss  0.873161, Average Loss  0.870670, Time  0.240604
2021-09-16 03:55:57.817590 : Epoch  2, Batch   1629, Loss  0.888711, Average Loss  0.870701, Time  0.240769
2021-09-16 03:56:00.427952 : Epoch  2, Batch   1630, Loss  0.892244, Average Loss  0.870825, Time  0.240187
2021-09-16 03:56:03.034954 : Epoch  2, Batch   1631, Loss  0.884156, Average Loss  0.870853, Time  0.240494
2021-09-16 03:56:05.636855 : Epoch  2, Batch   1632, Loss  0.891456, Average Loss  0.870938, Time  0.240367
2021-09-16 03:56:08.247111 : Epoch  2, Batch   1633, Loss  0.860126, Average Loss  0.870768, Time  0.240373
2021-09-16 03:56:10.855167 : Epoch  2, Batch   1634, Loss  0.873662, Average Loss  0.870693, Time  0.241383
2021-09-16 03:56:13.459961 : Epoch  2, Batch   1635, Loss  0.869913, Average Loss  0.870714, Time  0.239951
2021-09-16 03:56:16.059028 : Epoch  2, Batch   1636, Loss  0.894832, Average Loss  0.870883, Time  0.240353
2021-09-16 03:56:18.665404 : Epoch  2, Batch   1637, Loss  0.882868, Average Loss  0.871058, Time  0.240398
2021-09-16 03:56:21.288162 : Epoch  2, Batch   1638, Loss  0.876665, Average Loss  0.871154, Time  0.240109
2021-09-16 03:56:23.899429 : Epoch  2, Batch   1639, Loss  0.858462, Average Loss  0.871089, Time  0.239866
2021-09-16 03:56:26.502505 : Epoch  2, Batch   1640, Loss  0.851025, Average Loss  0.870982, Time  0.240849
2021-09-16 03:56:29.114183 : Epoch  2, Batch   1641, Loss  0.881924, Average Loss  0.871038, Time  0.240918
2021-09-16 03:56:31.714306 : Epoch  2, Batch   1642, Loss  0.881542, Average Loss  0.871095, Time  0.240886
2021-09-16 03:56:34.325850 : Epoch  2, Batch   1643, Loss  0.890447, Average Loss  0.871252, Time  0.240143
2021-09-16 03:56:36.949277 : Epoch  2, Batch   1644, Loss  0.849362, Average Loss  0.871326, Time  0.241155
2021-09-16 03:58:51.277000 : CheckPoint: Validation Loss  0.00030077, Best Loss  0.00029379
2021-09-16 03:58:54.362297 : Epoch  5, Batch    377, Loss  0.887917, Average Loss  0.869818, Time  0.268778
2021-09-16 03:58:57.416493 : Epoch  5, Batch    378, Loss  0.851041, Average Loss  0.869649, Time  0.266638
2021-09-16 03:59:00.467182 : Epoch  5, Batch    379, Loss  0.883952, Average Loss  0.869700, Time  0.266873
2021-09-16 03:59:03.506777 : Epoch  5, Batch    380, Loss  0.883712, Average Loss  0.869807, Time  0.266221
2021-09-16 03:59:06.545365 : Epoch  5, Batch    381, Loss  0.895736, Average Loss  0.870007, Time  0.267587
2021-09-16 03:59:09.550253 : Epoch  5, Batch    382, Loss  0.867109, Average Loss  0.869935, Time  0.265009
2021-09-16 03:59:12.570620 : Epoch  5, Batch    383, Loss  0.866207, Average Loss  0.869878, Time  0.265371
2021-09-16 03:59:15.594320 : Epoch  5, Batch    384, Loss  0.861661, Average Loss  0.869804, Time  0.265651
2021-09-16 03:59:18.633574 : Epoch  5, Batch    385, Loss  0.878254, Average Loss  0.869883, Time  0.275385
2021-09-16 03:59:21.680782 : Epoch  5, Batch    386, Loss  0.860512, Average Loss  0.869735, Time  0.265699
2021-09-16 03:59:24.687082 : Epoch  5, Batch    387, Loss  0.886477, Average Loss  0.869808, Time  0.264792
2021-09-16 03:59:27.698175 : Epoch  5, Batch    388, Loss  0.861984, Average Loss  0.869784, Time  0.265549
2021-09-16 03:59:30.745930 : Epoch  5, Batch    389, Loss  0.872347, Average Loss  0.869754, Time  0.266009
2021-09-16 03:59:33.813392 : Epoch  5, Batch    390, Loss  0.851699, Average Loss  0.869665, Time  0.266256
2021-09-16 03:59:36.856221 : Epoch  5, Batch    391, Loss  0.880878, Average Loss  0.869750, Time  0.265906
2021-09-16 03:59:39.899687 : Epoch  5, Batch    392, Loss  0.874304, Average Loss  0.869772, Time  0.265493
2021-09-16 03:59:42.909792 : Epoch  5, Batch    393, Loss  0.878537, Average Loss  0.869868, Time  0.265189
2021-09-16 03:59:45.951666 : Epoch  5, Batch    394, Loss  0.877621, Average Loss  0.869840, Time  0.268126
2021-09-16 03:59:48.985723 : Epoch  5, Batch    395, Loss  0.870531, Average Loss  0.869870, Time  0.265659
2021-09-16 03:59:52.001970 : Epoch  5, Batch    396, Loss  0.852889, Average Loss  0.869821, Time  0.270402
2021-09-16 03:59:55.043218 : Epoch  5, Batch    397, Loss  0.864006, Average Loss  0.869759, Time  0.266385
2021-09-16 03:59:58.046540 : Epoch  5, Batch    398, Loss  0.875699, Average Loss  0.869725, Time  0.265282
2021-09-16 04:00:01.065903 : Epoch  5, Batch    399, Loss  0.881060, Average Loss  0.869750, Time  0.266075
2021-09-16 04:00:04.108660 : Epoch  5, Batch    400, Loss  0.866524, Average Loss  0.869662, Time  0.272568
2021-09-16 04:00:07.179751 : Epoch  5, Batch    401, Loss  0.868610, Average Loss  0.869615, Time  0.266495
2021-09-16 04:00:10.184496 : Epoch  5, Batch    402, Loss  0.870351, Average Loss  0.869605, Time  0.265555
2021-09-16 04:00:13.192001 : Epoch  5, Batch    403, Loss  0.883152, Average Loss  0.869699, Time  0.265095
2021-09-16 04:00:16.211656 : Epoch  5, Batch    404, Loss  0.853556, Average Loss  0.869552, Time  0.265358
2021-09-16 04:00:19.218329 : Epoch  5, Batch    405, Loss  0.886106, Average Loss  0.869663, Time  0.265825
2021-09-16 04:00:22.255143 : Epoch  5, Batch    406, Loss  0.874976, Average Loss  0.869708, Time  0.265975
2021-09-16 04:00:25.284887 : Epoch  5, Batch    407, Loss  0.868149, Average Loss  0.869731, Time  0.265447
2021-09-16 04:00:28.302956 : Epoch  5, Batch    408, Loss  0.879177, Average Loss  0.869833, Time  0.265540
2021-09-16 04:00:31.362326 : Epoch  5, Batch    409, Loss  0.864883, Average Loss  0.869787, Time  0.266719
2021-09-16 04:00:34.381337 : Epoch  5, Batch    410, Loss  0.873921, Average Loss  0.869746, Time  0.265897
2021-09-16 04:00:37.385641 : Epoch  5, Batch    411, Loss  0.849255, Average Loss  0.869682, Time  0.264916
2021-09-16 04:00:40.405029 : Epoch  5, Batch    412, Loss  0.859682, Average Loss  0.869559, Time  0.265530
2021-09-16 04:00:41.761753 : CheckPoint: Validation Loss  0.00030243, Best Loss  0.00029477
2021-09-16 04:00:43.427915 : Epoch  5, Batch    413, Loss  0.858836, Average Loss  0.869484, Time  0.266623
2021-09-16 04:00:44.349980 : Epoch  2, Batch   1645, Loss  0.847299, Average Loss  0.871212, Time  0.241064
2021-09-16 04:00:46.516359 : Epoch  5, Batch    414, Loss  0.869806, Average Loss  0.869493, Time  0.266987
2021-09-16 04:00:46.945685 : Epoch  2, Batch   1646, Loss  0.885629, Average Loss  0.871296, Time  0.240224
2021-09-16 04:00:49.536256 : Epoch  2, Batch   1647, Loss  0.870424, Average Loss  0.871426, Time  0.241584
2021-09-16 04:00:49.545936 : Epoch  5, Batch    415, Loss  0.875802, Average Loss  0.869592, Time  0.273721
2021-09-16 04:00:52.141801 : Epoch  2, Batch   1648, Loss  0.889497, Average Loss  0.871556, Time  0.240983
2021-09-16 04:00:52.591012 : Epoch  5, Batch    416, Loss  0.881338, Average Loss  0.869731, Time  0.266015
2021-09-16 04:00:54.754077 : Epoch  2, Batch   1649, Loss  0.869822, Average Loss  0.871637, Time  0.241052
2021-09-16 04:00:55.591312 : Epoch  5, Batch    417, Loss  0.872880, Average Loss  0.869715, Time  0.266368
2021-09-16 04:00:57.334940 : Epoch  2, Batch   1650, Loss  0.855918, Average Loss  0.871545, Time  0.241086
2021-09-16 04:00:58.630483 : Epoch  5, Batch    418, Loss  0.861590, Average Loss  0.869619, Time  0.266052
2021-09-16 04:00:59.943824 : Epoch  2, Batch   1651, Loss  0.862301, Average Loss  0.871489, Time  0.240891
2021-09-16 04:01:01.670022 : Epoch  5, Batch    419, Loss  0.847476, Average Loss  0.869443, Time  0.265446
2021-09-16 04:01:02.554850 : Epoch  2, Batch   1652, Loss  0.872340, Average Loss  0.871485, Time  0.240421
2021-09-16 04:01:04.723005 : Epoch  5, Batch    420, Loss  0.879459, Average Loss  0.869591, Time  0.265928
2021-09-16 04:01:05.149043 : Epoch  2, Batch   1653, Loss  0.861718, Average Loss  0.871531, Time  0.240550
2021-09-16 04:01:07.746823 : Epoch  2, Batch   1654, Loss  0.877170, Average Loss  0.871534, Time  0.240314
2021-09-16 04:01:07.772091 : Epoch  5, Batch    421, Loss  0.851112, Average Loss  0.869461, Time  0.266019
2021-09-16 04:01:10.338857 : Epoch  2, Batch   1655, Loss  0.870119, Average Loss  0.871527, Time  0.240065
2021-09-16 04:01:10.839321 : Epoch  5, Batch    422, Loss  0.834706, Average Loss  0.869261, Time  0.265796
2021-09-16 04:01:12.934284 : Epoch  2, Batch   1656, Loss  0.868894, Average Loss  0.871496, Time  0.240885
2021-09-16 04:01:13.873478 : Epoch  5, Batch    423, Loss  0.872834, Average Loss  0.869304, Time  0.264997
2021-09-16 04:01:15.532429 : Epoch  2, Batch   1657, Loss  0.871771, Average Loss  0.871551, Time  0.240383
2021-09-16 04:01:16.900416 : Epoch  5, Batch    424, Loss  0.866461, Average Loss  0.869335, Time  0.266502
2021-09-16 04:01:18.141246 : Epoch  2, Batch   1658, Loss  0.851420, Average Loss  0.871404, Time  0.241422
2021-09-16 04:01:19.932925 : Epoch  5, Batch    425, Loss  0.871474, Average Loss  0.869263, Time  0.265391
2021-09-16 04:01:20.735144 : Epoch  2, Batch   1659, Loss  0.869323, Average Loss  0.871504, Time  0.239935
2021-09-16 04:01:22.955111 : Epoch  5, Batch    426, Loss  0.876593, Average Loss  0.869325, Time  0.265891
2021-09-16 04:01:23.338003 : Epoch  2, Batch   1660, Loss  0.892054, Average Loss  0.871585, Time  0.240825
2021-09-16 04:01:25.926165 : Epoch  2, Batch   1661, Loss  0.895037, Average Loss  0.871682, Time  0.241660
2021-09-16 04:01:26.007231 : Epoch  5, Batch    427, Loss  0.885647, Average Loss  0.869351, Time  0.265877
2021-09-16 04:01:28.525234 : Epoch  2, Batch   1662, Loss  0.881888, Average Loss  0.871806, Time  0.240762
2021-09-16 04:01:29.045938 : Epoch  5, Batch    428, Loss  0.871951, Average Loss  0.869343, Time  0.266805
2021-09-16 04:01:31.111539 : Epoch  2, Batch   1663, Loss  0.878365, Average Loss  0.871784, Time  0.240871
2021-09-16 04:01:32.107517 : Epoch  5, Batch    429, Loss  0.884367, Average Loss  0.869401, Time  0.266562
2021-09-16 04:01:33.705831 : Epoch  2, Batch   1664, Loss  0.884935, Average Loss  0.871878, Time  0.242195
2021-09-16 04:01:35.148929 : Epoch  5, Batch    430, Loss  0.869837, Average Loss  0.869504, Time  0.275783
2021-09-16 04:01:36.317910 : Epoch  2, Batch   1665, Loss  0.858999, Average Loss  0.871852, Time  0.241191
2021-09-16 04:01:38.181681 : Epoch  5, Batch    431, Loss  0.849978, Average Loss  0.869288, Time  0.265238
2021-09-16 04:01:38.924575 : Epoch  2, Batch   1666, Loss  0.852351, Average Loss  0.871741, Time  0.240313
2021-09-16 04:01:41.191519 : Epoch  5, Batch    432, Loss  0.855079, Average Loss  0.869284, Time  0.266011
2021-09-16 04:01:41.515625 : Epoch  2, Batch   1667, Loss  0.880386, Average Loss  0.871819, Time  0.240276
2021-09-16 04:01:44.105475 : Epoch  2, Batch   1668, Loss  0.850689, Average Loss  0.871759, Time  0.239927
2021-09-16 04:01:44.237638 : Epoch  5, Batch    433, Loss  0.873542, Average Loss  0.869322, Time  0.266411
2021-09-16 04:01:46.707045 : Epoch  2, Batch   1669, Loss  0.866379, Average Loss  0.871776, Time  0.241442
2021-09-16 04:01:47.269467 : Epoch  5, Batch    434, Loss  0.866585, Average Loss  0.869320, Time  0.266863
2021-09-16 04:01:49.296864 : Epoch  2, Batch   1670, Loss  0.859301, Average Loss  0.871705, Time  0.240320
2021-09-16 04:01:50.283530 : Epoch  5, Batch    435, Loss  0.851957, Average Loss  0.869161, Time  0.264885
2021-09-16 04:01:51.890075 : Epoch  2, Batch   1671, Loss  0.869217, Average Loss  0.871679, Time  0.240192
2021-09-16 04:01:53.295094 : Epoch  5, Batch    436, Loss  0.869509, Average Loss  0.869148, Time  0.267107
2021-09-16 04:01:54.482865 : Epoch  2, Batch   1672, Loss  0.875279, Average Loss  0.871686, Time  0.240419
2021-09-16 04:01:56.310004 : Epoch  5, Batch    437, Loss  0.856981, Average Loss  0.869165, Time  0.265474
2021-09-16 04:01:57.073984 : Epoch  2, Batch   1673, Loss  0.882853, Average Loss  0.871798, Time  0.240144
2021-09-16 04:01:59.319174 : Epoch  5, Batch    438, Loss  0.879713, Average Loss  0.869226, Time  0.265329
2021-09-16 04:01:59.674982 : Epoch  2, Batch   1674, Loss  0.876530, Average Loss  0.871753, Time  0.241019
2021-09-16 04:02:02.263108 : Epoch  2, Batch   1675, Loss  0.879152, Average Loss  0.871661, Time  0.240387
2021-09-16 04:02:02.348349 : Epoch  5, Batch    439, Loss  0.871365, Average Loss  0.869275, Time  0.266230
2021-09-16 04:02:04.861957 : Epoch  2, Batch   1676, Loss  0.875948, Average Loss  0.871565, Time  0.240552
2021-09-16 04:02:05.390684 : Epoch  5, Batch    440, Loss  0.865409, Average Loss  0.869294, Time  0.265851
2021-09-16 04:02:07.462671 : Epoch  2, Batch   1677, Loss  0.886618, Average Loss  0.871735, Time  0.240039
2021-09-16 04:02:08.406916 : Epoch  5, Batch    441, Loss  0.886570, Average Loss  0.869443, Time  0.265604
2021-09-16 04:02:10.061569 : Epoch  2, Batch   1678, Loss  0.871603, Average Loss  0.871719, Time  0.240726
2021-09-16 04:02:11.419617 : Epoch  5, Batch    442, Loss  0.876043, Average Loss  0.869544, Time  0.265656
2021-09-16 04:02:12.648424 : Epoch  2, Batch   1679, Loss  0.876490, Average Loss  0.871682, Time  0.240009
2021-09-16 04:02:14.475628 : Epoch  5, Batch    443, Loss  0.879565, Average Loss  0.869615, Time  0.266143
2021-09-16 04:02:15.268064 : Epoch  2, Batch   1680, Loss  0.869188, Average Loss  0.871684, Time  0.241213
2021-09-16 04:02:17.486795 : Epoch  5, Batch    444, Loss  0.846588, Average Loss  0.869537, Time  0.265917
2021-09-16 04:02:17.871162 : Epoch  2, Batch   1681, Loss  0.888645, Average Loss  0.871827, Time  0.242755
2021-09-16 04:02:20.463405 : Epoch  2, Batch   1682, Loss  0.862244, Average Loss  0.871766, Time  0.241823
2021-09-16 04:02:20.511387 : Epoch  5, Batch    445, Loss  0.859888, Average Loss  0.869463, Time  0.278925
2021-09-16 04:02:23.051943 : Epoch  2, Batch   1683, Loss  0.859573, Average Loss  0.871790, Time  0.240232
2021-09-16 04:02:23.536228 : Epoch  5, Batch    446, Loss  0.873621, Average Loss  0.869473, Time  0.266745
2021-09-16 04:02:25.649175 : Epoch  2, Batch   1684, Loss  0.871786, Average Loss  0.871832, Time  0.242736
2021-09-16 04:02:26.586642 : Epoch  5, Batch    447, Loss  0.867353, Average Loss  0.869504, Time  0.265879
2021-09-16 04:02:28.251866 : Epoch  2, Batch   1685, Loss  0.858579, Average Loss  0.871811, Time  0.240532
2021-09-16 04:02:29.628035 : Epoch  5, Batch    448, Loss  0.867702, Average Loss  0.869553, Time  0.266371
2021-09-16 04:02:30.860037 : Epoch  2, Batch   1686, Loss  0.856674, Average Loss  0.871690, Time  0.242274
2021-09-16 04:02:32.697993 : Epoch  5, Batch    449, Loss  0.889258, Average Loss  0.869648, Time  0.266289
2021-09-16 04:02:33.458444 : Epoch  2, Batch   1687, Loss  0.875901, Average Loss  0.871721, Time  0.240851
2021-09-16 04:02:35.679528 : Epoch  5, Batch    450, Loss  0.877622, Average Loss  0.869748, Time  0.264986
2021-09-16 04:02:36.060362 : Epoch  2, Batch   1688, Loss  0.902099, Average Loss  0.871891, Time  0.241242
2021-09-16 04:02:38.662133 : Epoch  2, Batch   1689, Loss  0.876197, Average Loss  0.871980, Time  0.241766
2021-09-16 04:02:38.690903 : Epoch  5, Batch    451, Loss  0.861621, Average Loss  0.869774, Time  0.264500
2021-09-16 04:02:41.258009 : Epoch  2, Batch   1690, Loss  0.872046, Average Loss  0.872081, Time  0.240746
2021-09-16 04:02:41.715807 : Epoch  5, Batch    452, Loss  0.865433, Average Loss  0.869702, Time  0.265699
2021-09-16 04:02:43.851971 : Epoch  2, Batch   1691, Loss  0.871589, Average Loss  0.872044, Time  0.241604
2021-09-16 04:02:44.735679 : Epoch  5, Batch    453, Loss  0.854668, Average Loss  0.869598, Time  0.265129
2021-09-16 04:02:46.476320 : Epoch  2, Batch   1692, Loss  0.875060, Average Loss  0.872022, Time  0.240693
2021-09-16 04:02:47.745378 : Epoch  5, Batch    454, Loss  0.845007, Average Loss  0.869440, Time  0.267084
2021-09-16 04:02:49.079250 : Epoch  2, Batch   1693, Loss  0.856143, Average Loss  0.871819, Time  0.242017
2021-09-16 04:02:50.754690 : Epoch  5, Batch    455, Loss  0.884573, Average Loss  0.869505, Time  0.265567
2021-09-16 04:02:51.682333 : Epoch  2, Batch   1694, Loss  0.866359, Average Loss  0.871764, Time  0.240184
2021-09-16 04:02:53.759676 : Epoch  5, Batch    456, Loss  0.872318, Average Loss  0.869523, Time  0.266655
2021-09-16 04:02:54.286912 : Epoch  2, Batch   1695, Loss  0.859647, Average Loss  0.871758, Time  0.241243
2021-09-16 04:02:56.772814 : Epoch  5, Batch    457, Loss  0.846685, Average Loss  0.869364, Time  0.265897
2021-09-16 04:02:56.887154 : Epoch  2, Batch   1696, Loss  0.869434, Average Loss  0.871844, Time  0.239820
2021-09-16 04:02:59.473034 : Epoch  2, Batch   1697, Loss  0.862133, Average Loss  0.871831, Time  0.241131
2021-09-16 04:02:59.805653 : Epoch  5, Batch    458, Loss  0.856474, Average Loss  0.869240, Time  0.265291
2021-09-16 04:03:02.085644 : Epoch  2, Batch   1698, Loss  0.901209, Average Loss  0.871950, Time  0.240444
2021-09-16 04:03:02.801870 : Epoch  5, Batch    459, Loss  0.860140, Average Loss  0.869211, Time  0.266328
2021-09-16 04:03:04.683337 : Epoch  2, Batch   1699, Loss  0.848673, Average Loss  0.871908, Time  0.240765
2021-09-16 04:03:05.850311 : Epoch  5, Batch    460, Loss  0.884149, Average Loss  0.869234, Time  0.278906
2021-09-16 04:03:07.281921 : Epoch  2, Batch   1700, Loss  0.869731, Average Loss  0.871834, Time  0.240553
2021-09-16 04:03:08.888796 : Epoch  5, Batch    461, Loss  0.850723, Average Loss  0.869150, Time  0.265860
2021-09-16 04:03:09.869602 : Epoch  2, Batch   1701, Loss  0.860558, Average Loss  0.871825, Time  0.240912
2021-09-16 04:03:11.964140 : Epoch  5, Batch    462, Loss  0.860961, Average Loss  0.869097, Time  0.266256
2021-09-16 04:03:12.467105 : Epoch  2, Batch   1702, Loss  0.868984, Average Loss  0.871695, Time  0.241267
2021-09-16 04:03:15.014356 : Epoch  5, Batch    463, Loss  0.870831, Average Loss  0.868955, Time  0.264899
2021-09-16 04:03:15.087712 : Epoch  2, Batch   1703, Loss  0.855664, Average Loss  0.871679, Time  0.240054
2021-09-16 04:03:17.690846 : Epoch  2, Batch   1704, Loss  0.874300, Average Loss  0.871624, Time  0.240246
2021-09-16 04:03:18.033800 : Epoch  5, Batch    464, Loss  0.873514, Average Loss  0.868954, Time  0.265247
2021-09-16 04:03:20.300405 : Epoch  2, Batch   1705, Loss  0.874590, Average Loss  0.871562, Time  0.240891
2021-09-16 04:03:21.038388 : Epoch  5, Batch    465, Loss  0.845631, Average Loss  0.868786, Time  0.265446
2021-09-16 04:03:22.898076 : Epoch  2, Batch   1706, Loss  0.870731, Average Loss  0.871673, Time  0.241008
2021-09-16 04:03:24.071496 : Epoch  5, Batch    466, Loss  0.859208, Average Loss  0.868771, Time  0.264146
2021-09-16 04:03:25.501977 : Epoch  2, Batch   1707, Loss  0.869588, Average Loss  0.871768, Time  0.241324
2021-09-16 04:03:27.094966 : Epoch  5, Batch    467, Loss  0.862148, Average Loss  0.868722, Time  0.265132
2021-09-16 04:03:28.093387 : Epoch  2, Batch   1708, Loss  0.912033, Average Loss  0.872025, Time  0.241959
2021-09-16 04:03:30.139902 : Epoch  5, Batch    468, Loss  0.859347, Average Loss  0.868582, Time  0.265922
2021-09-16 04:03:30.696266 : Epoch  2, Batch   1709, Loss  0.882961, Average Loss  0.871942, Time  0.240875
2021-09-16 04:03:33.175007 : Epoch  5, Batch    469, Loss  0.872471, Average Loss  0.868570, Time  0.265539
2021-09-16 04:03:33.301899 : Epoch  2, Batch   1710, Loss  0.873600, Average Loss  0.871960, Time  0.240790
2021-09-16 04:03:35.888397 : Epoch  2, Batch   1711, Loss  0.883465, Average Loss  0.872016, Time  0.240958
2021-09-16 04:03:36.178685 : Epoch  5, Batch    470, Loss  0.851587, Average Loss  0.868509, Time  0.265391
2021-09-16 04:03:38.477095 : Epoch  2, Batch   1712, Loss  0.856951, Average Loss  0.872016, Time  0.241671
2021-09-16 04:03:39.182844 : Epoch  5, Batch    471, Loss  0.875382, Average Loss  0.868557, Time  0.265887
2021-09-16 04:03:41.080652 : Epoch  2, Batch   1713, Loss  0.889166, Average Loss  0.872030, Time  0.243747
2021-09-16 04:03:42.233023 : Epoch  5, Batch    472, Loss  0.883158, Average Loss  0.868674, Time  0.265437
2021-09-16 04:03:43.685654 : Epoch  2, Batch   1714, Loss  0.872296, Average Loss  0.871944, Time  0.240279
2021-09-16 04:03:45.249427 : Epoch  5, Batch    473, Loss  0.869341, Average Loss  0.868573, Time  0.265649
2021-09-16 04:03:46.278852 : Epoch  2, Batch   1715, Loss  0.877483, Average Loss  0.871919, Time  0.239928
2021-09-16 04:03:48.303418 : Epoch  5, Batch    474, Loss  0.874906, Average Loss  0.868603, Time  0.266196
2021-09-16 04:03:48.871830 : Epoch  2, Batch   1716, Loss  0.873911, Average Loss  0.872030, Time  0.240289
2021-09-16 04:03:51.372834 : Epoch  5, Batch    475, Loss  0.867125, Average Loss  0.868684, Time  0.277023
2021-09-16 04:03:51.472741 : Epoch  2, Batch   1717, Loss  0.889998, Average Loss  0.872117, Time  0.239760
2021-09-16 04:03:54.060174 : Epoch  2, Batch   1718, Loss  0.871840, Average Loss  0.872073, Time  0.240114
2021-09-16 04:03:54.407530 : Epoch  5, Batch    476, Loss  0.846538, Average Loss  0.868577, Time  0.265911
2021-09-16 04:03:56.659162 : Epoch  2, Batch   1719, Loss  0.857766, Average Loss  0.872115, Time  0.241123
2021-09-16 04:03:59.262057 : Epoch  2, Batch   1720, Loss  0.868472, Average Loss  0.872054, Time  0.240207
2021-09-16 04:04:01.858136 : Epoch  2, Batch   1721, Loss  0.879930, Average Loss  0.872044, Time  0.242246
2021-09-16 04:04:04.452228 : Epoch  2, Batch   1722, Loss  0.865084, Average Loss  0.871992, Time  0.241714
2021-09-16 04:04:07.047473 : Epoch  2, Batch   1723, Loss  0.863586, Average Loss  0.872014, Time  0.242261
2021-09-16 04:04:09.634886 : Epoch  2, Batch   1724, Loss  0.890401, Average Loss  0.872087, Time  0.242134
2021-09-16 04:04:12.235082 : Epoch  2, Batch   1725, Loss  0.877436, Average Loss  0.872146, Time  0.240308
2021-09-16 04:04:14.830882 : Epoch  2, Batch   1726, Loss  0.878167, Average Loss  0.872238, Time  0.240265
2021-09-16 04:04:17.421971 : Epoch  2, Batch   1727, Loss  0.867121, Average Loss  0.872303, Time  0.240313
2021-09-16 04:04:20.006205 : Epoch  2, Batch   1728, Loss  0.864125, Average Loss  0.872210, Time  0.241890
2021-09-16 04:04:22.602434 : Epoch  2, Batch   1729, Loss  0.868580, Average Loss  0.872071, Time  0.241758
2021-09-16 04:04:25.205578 : Epoch  2, Batch   1730, Loss  0.854316, Average Loss  0.871927, Time  0.241470
2021-09-16 04:04:27.795228 : Epoch  2, Batch   1731, Loss  0.856370, Average Loss  0.871861, Time  0.241831
2021-09-16 04:04:30.381339 : Epoch  2, Batch   1732, Loss  0.865280, Average Loss  0.871798, Time  0.240331
2021-09-16 04:04:32.975004 : Epoch  2, Batch   1733, Loss  0.870937, Average Loss  0.871800, Time  0.241362
2021-09-16 04:04:35.574227 : Epoch  2, Batch   1734, Loss  0.882871, Average Loss  0.871841, Time  0.240036
2021-09-16 04:04:38.177405 : Epoch  2, Batch   1735, Loss  0.884590, Average Loss  0.871943, Time  0.240103
2021-09-16 04:04:40.766423 : Epoch  2, Batch   1736, Loss  0.879645, Average Loss  0.871912, Time  0.239901
2021-09-16 04:04:43.360769 : Epoch  2, Batch   1737, Loss  0.887802, Average Loss  0.872027, Time  0.240337
2021-09-16 04:04:45.967729 : Epoch  2, Batch   1738, Loss  0.866194, Average Loss  0.872070, Time  0.240043
2021-09-16 04:04:48.552400 : Epoch  2, Batch   1739, Loss  0.860156, Average Loss  0.872073, Time  0.239993
2021-09-16 04:04:51.131699 : Epoch  2, Batch   1740, Loss  0.868931, Average Loss  0.872103, Time  0.240293
2021-09-16 04:04:53.724122 : Epoch  2, Batch   1741, Loss  0.886990, Average Loss  0.872142, Time  0.240969
2021-09-16 04:04:56.307024 : Epoch  2, Batch   1742, Loss  0.869543, Average Loss  0.872188, Time  0.241490
2021-09-16 04:04:58.902988 : Epoch  2, Batch   1743, Loss  0.869807, Average Loss  0.872212, Time  0.243158
2021-09-16 04:05:01.494937 : Epoch  2, Batch   1744, Loss  0.869512, Average Loss  0.872163, Time  0.241558
2021-09-16 04:08:34.521510 : CheckPoint: Validation Loss  0.00029955, Best Loss  0.00029379
2021-09-16 04:08:37.542984 : Epoch  5, Batch    477, Loss  0.856217, Average Loss  0.868608, Time  0.268182
2021-09-16 04:08:40.568301 : Epoch  5, Batch    478, Loss  0.854467, Average Loss  0.868610, Time  0.265888
2021-09-16 04:08:43.573310 : Epoch  5, Batch    479, Loss  0.872246, Average Loss  0.868700, Time  0.265859
2021-09-16 04:08:46.609199 : Epoch  5, Batch    480, Loss  0.863088, Average Loss  0.868627, Time  0.264638
2021-09-16 04:08:49.632053 : Epoch  5, Batch    481, Loss  0.874181, Average Loss  0.868680, Time  0.265058
2021-09-16 04:08:52.631015 : Epoch  5, Batch    482, Loss  0.863332, Average Loss  0.868603, Time  0.266679
2021-09-16 04:08:55.627568 : Epoch  5, Batch    483, Loss  0.849797, Average Loss  0.868383, Time  0.264961
2021-09-16 04:08:58.629494 : Epoch  5, Batch    484, Loss  0.852970, Average Loss  0.868205, Time  0.266752
2021-09-16 04:09:01.636850 : Epoch  5, Batch    485, Loss  0.857631, Average Loss  0.868110, Time  0.265275
2021-09-16 04:09:04.626402 : Epoch  5, Batch    486, Loss  0.863191, Average Loss  0.868072, Time  0.265982
2021-09-16 04:09:05.212766 : CheckPoint: Validation Loss  0.00030110, Best Loss  0.00029477
2021-09-16 04:09:07.614388 : Epoch  5, Batch    487, Loss  0.858662, Average Loss  0.868007, Time  0.265339
2021-09-16 04:09:07.890948 : Epoch  2, Batch   1745, Loss  0.841707, Average Loss  0.872065, Time  0.274526
2021-09-16 04:09:10.491681 : Epoch  2, Batch   1746, Loss  0.881474, Average Loss  0.872024, Time  0.246411
2021-09-16 04:09:10.660124 : Epoch  5, Batch    488, Loss  0.840493, Average Loss  0.867864, Time  0.277431
2021-09-16 04:09:13.093956 : Epoch  2, Batch   1747, Loss  0.877148, Average Loss  0.872022, Time  0.240945
2021-09-16 04:09:13.636421 : Epoch  5, Batch    489, Loss  0.856467, Average Loss  0.867703, Time  0.265176
2021-09-16 04:09:15.699403 : Epoch  2, Batch   1748, Loss  0.877535, Average Loss  0.872008, Time  0.241543
2021-09-16 04:09:16.658333 : Epoch  5, Batch    490, Loss  0.856515, Average Loss  0.867639, Time  0.264839
2021-09-16 04:09:18.310159 : Epoch  2, Batch   1749, Loss  0.870014, Average Loss  0.872042, Time  0.244804
2021-09-16 04:09:19.678118 : Epoch  5, Batch    491, Loss  0.872512, Average Loss  0.867703, Time  0.266977
2021-09-16 04:09:20.920434 : Epoch  2, Batch   1750, Loss  0.870622, Average Loss  0.872096, Time  0.241150
2021-09-16 04:09:22.704138 : Epoch  5, Batch    492, Loss  0.878163, Average Loss  0.867706, Time  0.269353
2021-09-16 04:09:23.517890 : Epoch  2, Batch   1751, Loss  0.872260, Average Loss  0.872090, Time  0.241220
2021-09-16 04:09:25.719137 : Epoch  5, Batch    493, Loss  0.873172, Average Loss  0.867722, Time  0.265674
2021-09-16 04:09:26.114748 : Epoch  2, Batch   1752, Loss  0.862685, Average Loss  0.872132, Time  0.239862
2021-09-16 04:09:28.709166 : Epoch  2, Batch   1753, Loss  0.861221, Average Loss  0.872130, Time  0.241512
2021-09-16 04:09:28.718790 : Epoch  5, Batch    494, Loss  0.864208, Average Loss  0.867647, Time  0.265993
2021-09-16 04:09:31.317215 : Epoch  2, Batch   1754, Loss  0.881586, Average Loss  0.872114, Time  0.240731
2021-09-16 04:09:31.775994 : Epoch  5, Batch    495, Loss  0.854373, Average Loss  0.867659, Time  0.266288
2021-09-16 04:09:33.919181 : Epoch  2, Batch   1755, Loss  0.874128, Average Loss  0.872158, Time  0.240032
2021-09-16 04:09:34.764524 : Epoch  5, Batch    496, Loss  0.878026, Average Loss  0.867692, Time  0.265300
2021-09-16 04:09:36.530936 : Epoch  2, Batch   1756, Loss  0.890526, Average Loss  0.872285, Time  0.240288
2021-09-16 04:09:37.762349 : Epoch  5, Batch    497, Loss  0.868253, Average Loss  0.867671, Time  0.267820
2021-09-16 04:09:39.142862 : Epoch  2, Batch   1757, Loss  0.860474, Average Loss  0.872230, Time  0.240349
2021-09-16 04:09:40.779910 : Epoch  5, Batch    498, Loss  0.860908, Average Loss  0.867552, Time  0.265058
2021-09-16 04:09:41.751093 : Epoch  2, Batch   1758, Loss  0.874368, Average Loss  0.872252, Time  0.240909
2021-09-16 04:09:43.776822 : Epoch  5, Batch    499, Loss  0.864487, Average Loss  0.867432, Time  0.265024
2021-09-16 04:09:44.363310 : Epoch  2, Batch   1759, Loss  0.871754, Average Loss  0.872227, Time  0.243783
2021-09-16 04:09:46.770457 : Epoch  5, Batch    500, Loss  0.872443, Average Loss  0.867432, Time  0.265939
2021-09-16 04:09:46.968787 : Epoch  2, Batch   1760, Loss  0.861441, Average Loss  0.872200, Time  0.241290
2021-09-16 04:09:49.555016 : Epoch  2, Batch   1761, Loss  0.880972, Average Loss  0.872256, Time  0.241087
2021-09-16 04:09:49.757453 : Epoch  5, Batch    501, Loss  0.858130, Average Loss  0.867441, Time  0.265651
2021-09-16 04:09:52.152251 : Epoch  2, Batch   1762, Loss  0.863043, Average Loss  0.872230, Time  0.241307
2021-09-16 04:09:52.764320 : Epoch  5, Batch    502, Loss  0.859717, Average Loss  0.867330, Time  0.266346
2021-09-16 04:09:54.755201 : Epoch  2, Batch   1763, Loss  0.861606, Average Loss  0.871993, Time  0.241255
2021-09-16 04:09:55.810186 : Epoch  5, Batch    503, Loss  0.861745, Average Loss  0.867258, Time  0.277198
2021-09-16 04:09:57.353953 : Epoch  2, Batch   1764, Loss  0.863133, Average Loss  0.871990, Time  0.240926
2021-09-16 04:09:58.829266 : Epoch  5, Batch    504, Loss  0.877410, Average Loss  0.867227, Time  0.265413
2021-09-16 04:09:59.955642 : Epoch  2, Batch   1765, Loss  0.871097, Average Loss  0.871988, Time  0.240516
2021-09-16 04:10:01.838067 : Epoch  5, Batch    505, Loss  0.875502, Average Loss  0.867318, Time  0.265347
2021-09-16 04:10:02.566808 : Epoch  2, Batch   1766, Loss  0.864269, Average Loss  0.872049, Time  0.242000
2021-09-16 04:10:04.837054 : Epoch  5, Batch    506, Loss  0.860977, Average Loss  0.867152, Time  0.265586
2021-09-16 04:10:05.157279 : Epoch  2, Batch   1767, Loss  0.850578, Average Loss  0.871940, Time  0.240494
2021-09-16 04:10:07.749046 : Epoch  2, Batch   1768, Loss  0.859076, Average Loss  0.871964, Time  0.240115
2021-09-16 04:10:07.838059 : Epoch  5, Batch    507, Loss  0.858819, Average Loss  0.867125, Time  0.265311
2021-09-16 04:10:10.332093 : Epoch  2, Batch   1769, Loss  0.851164, Average Loss  0.871872, Time  0.240913
2021-09-16 04:10:10.837990 : Epoch  5, Batch    508, Loss  0.872063, Average Loss  0.867173, Time  0.266409
2021-09-16 04:10:12.927429 : Epoch  2, Batch   1770, Loss  0.858672, Average Loss  0.871887, Time  0.240009
2021-09-16 04:10:13.858435 : Epoch  5, Batch    509, Loss  0.881533, Average Loss  0.867221, Time  0.266113
2021-09-16 04:10:15.516009 : Epoch  2, Batch   1771, Loss  0.867707, Average Loss  0.871909, Time  0.240343
2021-09-16 04:10:16.885021 : Epoch  5, Batch    510, Loss  0.871093, Average Loss  0.867172, Time  0.265138
2021-09-16 04:10:18.119836 : Epoch  2, Batch   1772, Loss  0.878758, Average Loss  0.871816, Time  0.241959
2021-09-16 04:10:19.896157 : Epoch  5, Batch    511, Loss  0.871539, Average Loss  0.867202, Time  0.265986
2021-09-16 04:10:20.713229 : Epoch  2, Batch   1773, Loss  0.850086, Average Loss  0.871848, Time  0.240975
2021-09-16 04:10:22.891693 : Epoch  5, Batch    512, Loss  0.890501, Average Loss  0.867405, Time  0.266280
2021-09-16 04:10:23.322335 : Epoch  2, Batch   1774, Loss  0.882258, Average Loss  0.871837, Time  0.241378
2021-09-16 04:10:25.914090 : Epoch  5, Batch    513, Loss  0.881048, Average Loss  0.867506, Time  0.266766
2021-09-16 04:10:25.912971 : Epoch  2, Batch   1775, Loss  0.873104, Average Loss  0.872054, Time  0.242607
2021-09-16 04:10:28.508636 : Epoch  2, Batch   1776, Loss  0.872864, Average Loss  0.872159, Time  0.241854
2021-09-16 04:10:28.933590 : Epoch  5, Batch    514, Loss  0.874424, Average Loss  0.867565, Time  0.266957
2021-09-16 04:10:31.104682 : Epoch  2, Batch   1777, Loss  0.851100, Average Loss  0.872170, Time  0.240448
2021-09-16 04:10:31.920158 : Epoch  5, Batch    515, Loss  0.874481, Average Loss  0.867505, Time  0.266811
2021-09-16 04:10:33.704858 : Epoch  2, Batch   1778, Loss  0.869828, Average Loss  0.872176, Time  0.241113
2021-09-16 04:10:34.920115 : Epoch  5, Batch    516, Loss  0.869986, Average Loss  0.867566, Time  0.265957
2021-09-16 04:10:36.309100 : Epoch  2, Batch   1779, Loss  0.879921, Average Loss  0.872212, Time  0.241805
2021-09-16 04:10:37.928699 : Epoch  5, Batch    517, Loss  0.877899, Average Loss  0.867691, Time  0.267334
2021-09-16 04:10:38.919397 : Epoch  2, Batch   1780, Loss  0.885061, Average Loss  0.872332, Time  0.239868
2021-09-16 04:10:40.960549 : Epoch  5, Batch    518, Loss  0.877011, Average Loss  0.867763, Time  0.275022
2021-09-16 04:10:41.520430 : Epoch  2, Batch   1781, Loss  0.858800, Average Loss  0.872352, Time  0.240386
2021-09-16 04:10:43.979475 : Epoch  5, Batch    519, Loss  0.867399, Average Loss  0.867756, Time  0.265448
2021-09-16 04:10:44.131833 : Epoch  2, Batch   1782, Loss  0.874958, Average Loss  0.872289, Time  0.240597
2021-09-16 04:10:46.735393 : Epoch  2, Batch   1783, Loss  0.861704, Average Loss  0.872201, Time  0.239854
2021-09-16 04:10:47.000507 : Epoch  5, Batch    520, Loss  0.864976, Average Loss  0.867738, Time  0.265190
2021-09-16 04:10:49.325233 : Epoch  2, Batch   1784, Loss  0.856683, Average Loss  0.872258, Time  0.241600
2021-09-16 04:10:49.985601 : Epoch  5, Batch    521, Loss  0.875452, Average Loss  0.867760, Time  0.268163
2021-09-16 04:10:51.932039 : Epoch  2, Batch   1785, Loss  0.867000, Average Loss  0.872253, Time  0.241625
2021-09-16 04:10:52.980078 : Epoch  5, Batch    522, Loss  0.881405, Average Loss  0.867853, Time  0.265481
2021-09-16 04:10:54.537705 : Epoch  2, Batch   1786, Loss  0.844097, Average Loss  0.872092, Time  0.240011
2021-09-16 04:10:55.980840 : Epoch  5, Batch    523, Loss  0.859388, Average Loss  0.867811, Time  0.265659
2021-09-16 04:10:57.139376 : Epoch  2, Batch   1787, Loss  0.874295, Average Loss  0.872090, Time  0.239895
2021-09-16 04:10:58.999110 : Epoch  5, Batch    524, Loss  0.875605, Average Loss  0.867919, Time  0.264901
2021-09-16 04:10:59.743716 : Epoch  2, Batch   1788, Loss  0.849584, Average Loss  0.871951, Time  0.240121
2021-09-16 04:11:02.018123 : Epoch  5, Batch    525, Loss  0.856981, Average Loss  0.867861, Time  0.267564
2021-09-16 04:11:02.351820 : Epoch  2, Batch   1789, Loss  0.880917, Average Loss  0.871960, Time  0.241466
2021-09-16 04:11:04.941950 : Epoch  2, Batch   1790, Loss  0.856820, Average Loss  0.871926, Time  0.240111
2021-09-16 04:11:05.047173 : Epoch  5, Batch    526, Loss  0.868898, Average Loss  0.867948, Time  0.265604
2021-09-16 04:11:07.547383 : Epoch  2, Batch   1791, Loss  0.848662, Average Loss  0.871683, Time  0.241430
2021-09-16 04:11:08.073932 : Epoch  5, Batch    527, Loss  0.865383, Average Loss  0.867981, Time  0.265787
2021-09-16 04:11:10.136082 : Epoch  2, Batch   1792, Loss  0.880904, Average Loss  0.871830, Time  0.240370
2021-09-16 04:11:11.097736 : Epoch  5, Batch    528, Loss  0.883145, Average Loss  0.868039, Time  0.266472
2021-09-16 04:11:12.739389 : Epoch  2, Batch   1793, Loss  0.885125, Average Loss  0.871842, Time  0.239976
2021-09-16 04:11:14.120393 : Epoch  5, Batch    529, Loss  0.842957, Average Loss  0.867809, Time  0.265854
2021-09-16 04:11:15.350754 : Epoch  2, Batch   1794, Loss  0.888687, Average Loss  0.871920, Time  0.241078
2021-09-16 04:11:17.146308 : Epoch  5, Batch    530, Loss  0.862471, Average Loss  0.867761, Time  0.265960
2021-09-16 04:11:17.945596 : Epoch  2, Batch   1795, Loss  0.864801, Average Loss  0.871808, Time  0.241098
2021-09-16 04:11:20.157366 : Epoch  5, Batch    531, Loss  0.860666, Average Loss  0.867710, Time  0.265470
2021-09-16 04:11:20.555798 : Epoch  2, Batch   1796, Loss  0.875319, Average Loss  0.871759, Time  0.240082
2021-09-16 04:11:23.158460 : Epoch  2, Batch   1797, Loss  0.859064, Average Loss  0.871796, Time  0.239789
2021-09-16 04:11:23.170897 : Epoch  5, Batch    532, Loss  0.886310, Average Loss  0.867859, Time  0.266415
2021-09-16 04:11:25.766264 : Epoch  2, Batch   1798, Loss  0.860507, Average Loss  0.871748, Time  0.240301
2021-09-16 04:11:26.192439 : Epoch  5, Batch    533, Loss  0.879980, Average Loss  0.867851, Time  0.280568
2021-09-16 04:11:28.384410 : Epoch  2, Batch   1799, Loss  0.861550, Average Loss  0.871714, Time  0.239750
2021-09-16 04:11:29.196073 : Epoch  5, Batch    534, Loss  0.896845, Average Loss  0.868104, Time  0.268835
2021-09-16 04:11:30.979965 : Epoch  2, Batch   1800, Loss  0.881187, Average Loss  0.871687, Time  0.240362
2021-09-16 04:11:32.232979 : Epoch  5, Batch    535, Loss  0.860754, Average Loss  0.868172, Time  0.266658
2021-09-16 04:11:33.584922 : Epoch  2, Batch   1801, Loss  0.841127, Average Loss  0.871522, Time  0.240207
2021-09-16 04:11:35.235092 : Epoch  5, Batch    536, Loss  0.890072, Average Loss  0.868243, Time  0.265956
2021-09-16 04:11:36.188269 : Epoch  2, Batch   1802, Loss  0.864112, Average Loss  0.871421, Time  0.241071
2021-09-16 04:11:38.255405 : Epoch  5, Batch    537, Loss  0.880064, Average Loss  0.868194, Time  0.267008
2021-09-16 04:11:38.786768 : Epoch  2, Batch   1803, Loss  0.886361, Average Loss  0.871470, Time  0.241323
2021-09-16 04:11:41.292084 : Epoch  5, Batch    538, Loss  0.872197, Average Loss  0.868247, Time  0.265766
2021-09-16 04:11:41.397716 : Epoch  2, Batch   1804, Loss  0.868405, Average Loss  0.871531, Time  0.240870
2021-09-16 04:11:43.992033 : Epoch  2, Batch   1805, Loss  0.881753, Average Loss  0.871515, Time  0.241456
2021-09-16 04:11:44.294390 : Epoch  5, Batch    539, Loss  0.853291, Average Loss  0.868133, Time  0.264003
2021-09-16 04:11:46.582974 : Epoch  2, Batch   1806, Loss  0.878875, Average Loss  0.871446, Time  0.240103
2021-09-16 04:11:47.294624 : Epoch  5, Batch    540, Loss  0.895130, Average Loss  0.868281, Time  0.265241
2021-09-16 04:11:49.179637 : Epoch  2, Batch   1807, Loss  0.873387, Average Loss  0.871388, Time  0.240025
2021-09-16 04:11:50.314924 : Epoch  5, Batch    541, Loss  0.872884, Average Loss  0.868318, Time  0.266004
2021-09-16 04:11:51.803639 : Epoch  2, Batch   1808, Loss  0.853101, Average Loss  0.871189, Time  0.239933
2021-09-16 04:11:53.319717 : Epoch  5, Batch    542, Loss  0.857761, Average Loss  0.868205, Time  0.265821
2021-09-16 04:11:54.405837 : Epoch  2, Batch   1809, Loss  0.866521, Average Loss  0.871226, Time  0.242079
2021-09-16 04:11:56.362045 : Epoch  5, Batch    543, Loss  0.876161, Average Loss  0.868360, Time  0.267709
2021-09-16 04:11:57.012697 : Epoch  2, Batch   1810, Loss  0.861409, Average Loss  0.871114, Time  0.240983
2021-09-16 04:11:59.429128 : Epoch  5, Batch    544, Loss  0.852338, Average Loss  0.868271, Time  0.268194
2021-09-16 04:11:59.615296 : Epoch  2, Batch   1811, Loss  0.879283, Average Loss  0.871139, Time  0.241529
2021-09-16 04:12:02.201202 : Epoch  2, Batch   1812, Loss  0.883206, Average Loss  0.871237, Time  0.240829
2021-09-16 04:12:02.445305 : Epoch  5, Batch    545, Loss  0.858282, Average Loss  0.868217, Time  0.265220
2021-09-16 04:12:04.809995 : Epoch  2, Batch   1813, Loss  0.883647, Average Loss  0.871163, Time  0.241300
2021-09-16 04:12:05.457192 : Epoch  5, Batch    546, Loss  0.862248, Average Loss  0.868241, Time  0.266220
2021-09-16 04:12:07.419694 : Epoch  2, Batch   1814, Loss  0.877428, Average Loss  0.871096, Time  0.242862
2021-09-16 04:12:08.487377 : Epoch  5, Batch    547, Loss  0.869590, Average Loss  0.868247, Time  0.266478
2021-09-16 04:12:10.032392 : Epoch  2, Batch   1815, Loss  0.852314, Average Loss  0.870998, Time  0.241035
2021-09-16 04:12:11.537270 : Epoch  5, Batch    548, Loss  0.864015, Average Loss  0.868283, Time  0.274155
2021-09-16 04:12:12.614989 : Epoch  2, Batch   1816, Loss  0.869169, Average Loss  0.870997, Time  0.240762
2021-09-16 04:12:14.536581 : Epoch  5, Batch    549, Loss  0.899481, Average Loss  0.868349, Time  0.265651
2021-09-16 04:12:15.229146 : Epoch  2, Batch   1817, Loss  0.886804, Average Loss  0.870997, Time  0.240315
2021-09-16 04:12:17.560265 : Epoch  5, Batch    550, Loss  0.854838, Average Loss  0.868362, Time  0.265232
2021-09-16 04:12:17.825648 : Epoch  2, Batch   1818, Loss  0.846837, Average Loss  0.870907, Time  0.240977
2021-09-16 04:12:20.413599 : Epoch  2, Batch   1819, Loss  0.885978, Average Loss  0.871009, Time  0.239849
2021-09-16 04:12:20.580307 : Epoch  5, Batch    551, Loss  0.882433, Average Loss  0.868371, Time  0.266058
2021-09-16 04:12:23.014885 : Epoch  2, Batch   1820, Loss  0.877300, Average Loss  0.870957, Time  0.240315
2021-09-16 04:12:23.602648 : Epoch  5, Batch    552, Loss  0.861616, Average Loss  0.868348, Time  0.266031
2021-09-16 04:12:25.615767 : Epoch  2, Batch   1821, Loss  0.868609, Average Loss  0.870933, Time  0.239753
2021-09-16 04:12:26.619180 : Epoch  5, Batch    553, Loss  0.865334, Average Loss  0.868396, Time  0.266161
2021-09-16 04:12:28.217401 : Epoch  2, Batch   1822, Loss  0.884923, Average Loss  0.871027, Time  0.239990
2021-09-16 04:12:29.622711 : Epoch  5, Batch    554, Loss  0.868134, Average Loss  0.868298, Time  0.264804
2021-09-16 04:12:30.829544 : Epoch  2, Batch   1823, Loss  0.871406, Average Loss  0.871161, Time  0.240329
2021-09-16 04:12:32.629820 : Epoch  5, Batch    555, Loss  0.859572, Average Loss  0.868188, Time  0.266798
2021-09-16 04:12:33.432438 : Epoch  2, Batch   1824, Loss  0.876883, Average Loss  0.871192, Time  0.240807
2021-09-16 04:12:35.622992 : Epoch  5, Batch    556, Loss  0.854932, Average Loss  0.868063, Time  0.264831
2021-09-16 04:12:36.029686 : Epoch  2, Batch   1825, Loss  0.866765, Average Loss  0.871080, Time  0.240778
2021-09-16 04:12:38.621454 : Epoch  2, Batch   1826, Loss  0.866830, Average Loss  0.871029, Time  0.240563
2021-09-16 04:12:38.652435 : Epoch  5, Batch    557, Loss  0.850613, Average Loss  0.867970, Time  0.268139
2021-09-16 04:12:41.218995 : Epoch  2, Batch   1827, Loss  0.884326, Average Loss  0.871168, Time  0.240560
2021-09-16 04:12:41.655208 : Epoch  5, Batch    558, Loss  0.868023, Average Loss  0.867993, Time  0.266889
2021-09-16 04:12:43.818284 : Epoch  2, Batch   1828, Loss  0.866581, Average Loss  0.871135, Time  0.240282
2021-09-16 04:12:44.642678 : Epoch  5, Batch    559, Loss  0.851299, Average Loss  0.867904, Time  0.265341
2021-09-16 04:12:46.423303 : Epoch  2, Batch   1829, Loss  0.871831, Average Loss  0.871051, Time  0.240578
2021-09-16 04:12:47.645907 : Epoch  5, Batch    560, Loss  0.882988, Average Loss  0.867995, Time  0.265632
2021-09-16 04:12:49.016781 : Epoch  2, Batch   1830, Loss  0.896093, Average Loss  0.871070, Time  0.240198
2021-09-16 04:12:50.648972 : Epoch  5, Batch    561, Loss  0.880295, Average Loss  0.868094, Time  0.265392
2021-09-16 04:12:51.628493 : Epoch  2, Batch   1831, Loss  0.863504, Average Loss  0.870967, Time  0.241057
2021-09-16 04:12:53.689109 : Epoch  5, Batch    562, Loss  0.871049, Average Loss  0.868042, Time  0.268203
2021-09-16 04:12:54.237510 : Epoch  2, Batch   1832, Loss  0.891243, Average Loss  0.870966, Time  0.241154
2021-09-16 04:12:56.703705 : Epoch  5, Batch    563, Loss  0.874226, Average Loss  0.868103, Time  0.274481
2021-09-16 04:12:56.843085 : Epoch  2, Batch   1833, Loss  0.857829, Average Loss  0.870954, Time  0.240770
2021-09-16 04:12:59.454075 : Epoch  2, Batch   1834, Loss  0.874510, Average Loss  0.870958, Time  0.241565
2021-09-16 04:12:59.701552 : Epoch  5, Batch    564, Loss  0.848679, Average Loss  0.868092, Time  0.265517
2021-09-16 04:13:02.074067 : Epoch  2, Batch   1835, Loss  0.877219, Average Loss  0.870995, Time  0.240170
2021-09-16 04:13:02.675539 : Epoch  5, Batch    565, Loss  0.881004, Average Loss  0.868182, Time  0.266428
2021-09-16 04:13:04.667272 : Epoch  2, Batch   1836, Loss  0.862761, Average Loss  0.870834, Time  0.239935
2021-09-16 04:13:05.678019 : Epoch  5, Batch    566, Loss  0.874359, Average Loss  0.868212, Time  0.265291
2021-09-16 04:13:07.269326 : Epoch  2, Batch   1837, Loss  0.877528, Average Loss  0.870808, Time  0.240376
2021-09-16 04:13:08.672022 : Epoch  5, Batch    567, Loss  0.891327, Average Loss  0.868313, Time  0.265326
2021-09-16 04:13:09.876839 : Epoch  2, Batch   1838, Loss  0.889597, Average Loss  0.870872, Time  0.240649
2021-09-16 04:13:11.673230 : Epoch  5, Batch    568, Loss  0.863449, Average Loss  0.868234, Time  0.265762
2021-09-16 04:13:12.484846 : Epoch  2, Batch   1839, Loss  0.869219, Average Loss  0.870926, Time  0.241466
2021-09-16 04:13:14.691072 : Epoch  5, Batch    569, Loss  0.885972, Average Loss  0.868333, Time  0.265293
2021-09-16 04:13:15.091495 : Epoch  2, Batch   1840, Loss  0.886582, Average Loss  0.871104, Time  0.241053
2021-09-16 04:13:17.678466 : Epoch  2, Batch   1841, Loss  0.871281, Average Loss  0.871051, Time  0.240196
2021-09-16 04:13:17.705967 : Epoch  5, Batch    570, Loss  0.868467, Average Loss  0.868333, Time  0.265081
2021-09-16 04:13:20.278687 : Epoch  2, Batch   1842, Loss  0.888788, Average Loss  0.871087, Time  0.240017
2021-09-16 04:13:20.714752 : Epoch  5, Batch    571, Loss  0.876789, Average Loss  0.868431, Time  0.267384
2021-09-16 04:13:22.883852 : Epoch  2, Batch   1843, Loss  0.870860, Average Loss  0.870989, Time  0.240074
2021-09-16 04:13:23.707646 : Epoch  5, Batch    572, Loss  0.853405, Average Loss  0.868346, Time  0.266037
2021-09-16 04:13:25.488384 : Epoch  2, Batch   1844, Loss  0.857342, Average Loss  0.871029, Time  0.239760
2021-09-16 04:13:26.719952 : Epoch  5, Batch    573, Loss  0.874177, Average Loss  0.868432, Time  0.265669
2021-09-16 04:13:29.787489 : Epoch  5, Batch    574, Loss  0.876060, Average Loss  0.868496, Time  0.265551
2021-09-16 04:13:32.780536 : Epoch  5, Batch    575, Loss  0.847410, Average Loss  0.868307, Time  0.266530
2021-09-16 04:13:43.768666 : Epoch  5, Batch    576, Loss  0.866100, Average Loss  0.868186, Time  0.277111
2021-09-16 04:17:28.569429 : CheckPoint: Validation Loss  0.00030359, Best Loss  0.00029477
2021-09-16 04:17:31.168232 : Epoch  2, Batch   1845, Loss  0.875634, Average Loss  0.871171, Time  0.241253
2021-09-16 04:17:33.762972 : Epoch  2, Batch   1846, Loss  0.861744, Average Loss  0.871051, Time  0.241455
2021-09-16 04:17:36.359371 : Epoch  2, Batch   1847, Loss  0.883225, Average Loss  0.871115, Time  0.241014
2021-09-16 04:17:38.959396 : Epoch  2, Batch   1848, Loss  0.860664, Average Loss  0.870971, Time  0.240262
2021-09-16 04:17:41.554516 : Epoch  2, Batch   1849, Loss  0.857111, Average Loss  0.870908, Time  0.240510
2021-09-16 04:17:44.143042 : Epoch  2, Batch   1850, Loss  0.878563, Average Loss  0.871021, Time  0.240602
2021-09-16 04:17:46.742492 : Epoch  2, Batch   1851, Loss  0.867547, Average Loss  0.871047, Time  0.241991
2021-09-16 04:17:49.342897 : Epoch  2, Batch   1852, Loss  0.842976, Average Loss  0.870900, Time  0.240396
2021-09-16 04:17:51.929709 : Epoch  2, Batch   1853, Loss  0.881639, Average Loss  0.871000, Time  0.242442
2021-09-16 04:17:54.511691 : Epoch  2, Batch   1854, Loss  0.874218, Average Loss  0.870985, Time  0.239857
2021-09-16 04:17:57.106689 : Epoch  2, Batch   1855, Loss  0.872039, Average Loss  0.870995, Time  0.240478
2021-09-16 04:17:59.689708 : Epoch  2, Batch   1856, Loss  0.872633, Average Loss  0.871013, Time  0.240392
2021-09-16 04:17:59.729562 : Saving Model after 2-th Epoch.
2021-09-16 04:18:00.618606 : Epoch Finished.
2021-09-16 04:18:09.453919 : Batch Shuffled
2021-09-16 04:18:12.058367 : Epoch  3, Batch      1, Loss  0.851990, Average Loss  0.870914, Time  0.275719
2021-09-16 04:18:14.651367 : Epoch  3, Batch      2, Loss  0.846596, Average Loss  0.870890, Time  0.254195
2021-09-16 04:18:17.224120 : Epoch  3, Batch      3, Loss  0.866507, Average Loss  0.870876, Time  0.240382
2021-09-16 04:18:19.804378 : Epoch  3, Batch      4, Loss  0.875188, Average Loss  0.870792, Time  0.241486
2021-09-16 04:18:22.333185 : CheckPoint: Validation Loss  0.00030895, Best Loss  0.00029379
2021-09-16 04:18:22.384985 : Epoch  3, Batch      5, Loss  0.857267, Average Loss  0.870603, Time  0.240272
2021-09-16 04:18:24.962141 : Epoch  3, Batch      6, Loss  0.887520, Average Loss  0.870631, Time  0.241573
2021-09-16 04:18:25.381222 : Epoch  5, Batch    577, Loss  0.846416, Average Loss  0.867979, Time  0.268019
2021-09-16 04:18:27.545085 : Epoch  3, Batch      7, Loss  0.870005, Average Loss  0.870589, Time  0.240009
2021-09-16 04:18:28.434746 : Epoch  5, Batch    578, Loss  0.870677, Average Loss  0.868077, Time  0.265584
2021-09-16 04:18:30.134433 : Epoch  3, Batch      8, Loss  0.860427, Average Loss  0.870467, Time  0.241344
2021-09-16 04:18:31.443931 : Epoch  5, Batch    579, Loss  0.855248, Average Loss  0.867933, Time  0.265477
2021-09-16 04:18:32.718092 : Epoch  3, Batch      9, Loss  0.884880, Average Loss  0.870596, Time  0.240812
2021-09-16 04:18:34.489051 : Epoch  5, Batch    580, Loss  0.878454, Average Loss  0.867907, Time  0.266342
2021-09-16 04:18:35.303872 : Epoch  3, Batch     10, Loss  0.864020, Average Loss  0.870655, Time  0.242198
2021-09-16 04:18:37.533635 : Epoch  5, Batch    581, Loss  0.860369, Average Loss  0.867730, Time  0.265228
2021-09-16 04:18:37.892498 : Epoch  3, Batch     11, Loss  0.877485, Average Loss  0.870640, Time  0.240821
2021-09-16 04:18:40.472921 : Epoch  3, Batch     12, Loss  0.880945, Average Loss  0.870791, Time  0.240710
2021-09-16 04:18:40.553158 : Epoch  5, Batch    582, Loss  0.858323, Average Loss  0.867686, Time  0.265853
2021-09-16 04:18:43.052672 : Epoch  3, Batch     13, Loss  0.850924, Average Loss  0.870714, Time  0.240844
2021-09-16 04:18:43.564806 : Epoch  5, Batch    583, Loss  0.855328, Average Loss  0.867632, Time  0.265470
2021-09-16 04:18:45.634054 : Epoch  3, Batch     14, Loss  0.863899, Average Loss  0.870737, Time  0.240495
2021-09-16 04:18:46.589825 : Epoch  5, Batch    584, Loss  0.861247, Average Loss  0.867630, Time  0.265322
2021-09-16 04:18:48.223422 : Epoch  3, Batch     15, Loss  0.872456, Average Loss  0.870753, Time  0.240193
2021-09-16 04:18:49.589076 : Epoch  5, Batch    585, Loss  0.851497, Average Loss  0.867496, Time  0.265301
2021-09-16 04:18:50.809838 : Epoch  3, Batch     16, Loss  0.859933, Average Loss  0.870677, Time  0.243071
2021-09-16 04:18:52.614245 : Epoch  5, Batch    586, Loss  0.856491, Average Loss  0.867476, Time  0.265738
2021-09-16 04:18:53.388007 : Epoch  3, Batch     17, Loss  0.892020, Average Loss  0.870722, Time  0.240228
2021-09-16 04:18:55.664963 : Epoch  5, Batch    587, Loss  0.851956, Average Loss  0.867303, Time  0.266250
2021-09-16 04:18:55.973842 : Epoch  3, Batch     18, Loss  0.874902, Average Loss  0.870714, Time  0.241530
2021-09-16 04:18:58.548868 : Epoch  3, Batch     19, Loss  0.861112, Average Loss  0.870624, Time  0.240101
2021-09-16 04:18:58.653477 : Epoch  5, Batch    588, Loss  0.863889, Average Loss  0.867313, Time  0.265455
2021-09-16 04:19:01.135857 : Epoch  3, Batch     20, Loss  0.861562, Average Loss  0.870552, Time  0.240959
2021-09-16 04:19:01.694434 : Epoch  5, Batch    589, Loss  0.879949, Average Loss  0.867351, Time  0.265879
2021-09-16 04:19:03.726725 : Epoch  3, Batch     21, Loss  0.864219, Average Loss  0.870440, Time  0.240011
2021-09-16 04:19:04.745406 : Epoch  5, Batch    590, Loss  0.866690, Average Loss  0.867426, Time  0.279982
2021-09-16 04:19:06.313760 : Epoch  3, Batch     22, Loss  0.878376, Average Loss  0.870474, Time  0.239951
2021-09-16 04:19:07.796330 : Epoch  5, Batch    591, Loss  0.884612, Average Loss  0.867445, Time  0.269620
2021-09-16 04:19:08.897749 : Epoch  3, Batch     23, Loss  0.876060, Average Loss  0.870472, Time  0.240001
2021-09-16 04:19:10.779536 : Epoch  5, Batch    592, Loss  0.893155, Average Loss  0.867539, Time  0.263958
2021-09-16 04:19:11.485888 : Epoch  3, Batch     24, Loss  0.878143, Average Loss  0.870517, Time  0.240269
2021-09-16 04:19:13.785472 : Epoch  5, Batch    593, Loss  0.870222, Average Loss  0.867497, Time  0.266219
2021-09-16 04:19:14.075666 : Epoch  3, Batch     25, Loss  0.877487, Average Loss  0.870461, Time  0.240322
2021-09-16 04:19:16.652959 : Epoch  3, Batch     26, Loss  0.885136, Average Loss  0.870575, Time  0.240057
2021-09-16 04:19:16.804706 : Epoch  5, Batch    594, Loss  0.886110, Average Loss  0.867540, Time  0.267526
2021-09-16 04:19:19.237243 : Epoch  3, Batch     27, Loss  0.881870, Average Loss  0.870687, Time  0.239983
2021-09-16 04:19:19.805917 : Epoch  5, Batch    595, Loss  0.879161, Average Loss  0.867583, Time  0.266429
2021-09-16 04:19:21.824405 : Epoch  3, Batch     28, Loss  0.887543, Average Loss  0.870766, Time  0.240083
2021-09-16 04:19:22.847170 : Epoch  5, Batch    596, Loss  0.883212, Average Loss  0.867735, Time  0.266820
2021-09-16 04:19:24.414784 : Epoch  3, Batch     29, Loss  0.847148, Average Loss  0.870708, Time  0.240821
2021-09-16 04:19:25.847643 : Epoch  5, Batch    597, Loss  0.846447, Average Loss  0.867647, Time  0.265836
2021-09-16 04:19:26.998151 : Epoch  3, Batch     30, Loss  0.890951, Average Loss  0.870880, Time  0.240082
2021-09-16 04:19:28.897062 : Epoch  5, Batch    598, Loss  0.877701, Average Loss  0.867657, Time  0.266460
2021-09-16 04:19:29.588394 : Epoch  3, Batch     31, Loss  0.867990, Average Loss  0.870840, Time  0.240288
2021-09-16 04:19:31.900831 : Epoch  5, Batch    599, Loss  0.891658, Average Loss  0.867710, Time  0.265900
2021-09-16 04:19:32.175883 : Epoch  3, Batch     32, Loss  0.878815, Average Loss  0.870724, Time  0.241685
2021-09-16 04:19:34.750442 : Epoch  3, Batch     33, Loss  0.850697, Average Loss  0.870596, Time  0.241484
2021-09-16 04:19:34.900028 : Epoch  5, Batch    600, Loss  0.854905, Average Loss  0.867652, Time  0.265376
2021-09-16 04:19:37.333830 : Epoch  3, Batch     34, Loss  0.850670, Average Loss  0.870489, Time  0.241168
2021-09-16 04:19:37.910937 : Epoch  5, Batch    601, Loss  0.880862, Average Loss  0.867713, Time  0.265993
2021-09-16 04:19:39.931163 : Epoch  3, Batch     35, Loss  0.893851, Average Loss  0.870601, Time  0.243491
2021-09-16 04:19:40.954473 : Epoch  5, Batch    602, Loss  0.868298, Average Loss  0.867703, Time  0.265380
2021-09-16 04:19:42.515236 : Epoch  3, Batch     36, Loss  0.856179, Average Loss  0.870506, Time  0.241560
2021-09-16 04:19:43.963620 : Epoch  5, Batch    603, Loss  0.879806, Average Loss  0.867686, Time  0.266372
2021-09-16 04:19:45.116014 : Epoch  3, Batch     37, Loss  0.862492, Average Loss  0.870538, Time  0.240669
2021-09-16 04:19:47.005120 : Epoch  5, Batch    604, Loss  0.883876, Average Loss  0.867838, Time  0.266212
2021-09-16 04:19:47.707689 : Epoch  3, Batch     38, Loss  0.881750, Average Loss  0.870615, Time  0.243788
2021-09-16 04:19:50.103726 : Epoch  5, Batch    605, Loss  0.893485, Average Loss  0.867874, Time  0.275548
2021-09-16 04:19:50.301878 : Epoch  3, Batch     39, Loss  0.877294, Average Loss  0.870703, Time  0.242845
2021-09-16 04:19:52.883064 : Epoch  3, Batch     40, Loss  0.873042, Average Loss  0.870721, Time  0.240047
2021-09-16 04:19:53.151777 : Epoch  5, Batch    606, Loss  0.831129, Average Loss  0.867655, Time  0.266382
2021-09-16 04:19:55.470027 : Epoch  3, Batch     41, Loss  0.868617, Average Loss  0.870754, Time  0.240340
2021-09-16 04:19:56.159175 : Epoch  5, Batch    607, Loss  0.891844, Average Loss  0.867774, Time  0.264642
2021-09-16 04:19:58.062495 : Epoch  3, Batch     42, Loss  0.867032, Average Loss  0.870583, Time  0.241613
2021-09-16 04:19:59.182923 : Epoch  5, Batch    608, Loss  0.875534, Average Loss  0.867755, Time  0.265363
2021-09-16 04:20:00.647126 : Epoch  3, Batch     43, Loss  0.878036, Average Loss  0.870730, Time  0.240446
2021-09-16 04:20:02.182848 : Epoch  5, Batch    609, Loss  0.870272, Average Loss  0.867782, Time  0.265218
2021-09-16 04:20:03.232583 : Epoch  3, Batch     44, Loss  0.866304, Average Loss  0.870713, Time  0.240839
2021-09-16 04:20:05.202113 : Epoch  5, Batch    610, Loss  0.859120, Average Loss  0.867708, Time  0.265745
2021-09-16 04:20:05.818829 : Epoch  3, Batch     45, Loss  0.858424, Average Loss  0.870702, Time  0.240086
2021-09-16 04:20:08.205726 : Epoch  5, Batch    611, Loss  0.869977, Average Loss  0.867812, Time  0.266382
2021-09-16 04:20:08.411671 : Epoch  3, Batch     46, Loss  0.888346, Average Loss  0.870799, Time  0.243800
2021-09-16 04:20:10.985628 : Epoch  3, Batch     47, Loss  0.858762, Average Loss  0.870814, Time  0.241260
2021-09-16 04:20:11.198157 : Epoch  5, Batch    612, Loss  0.876925, Average Loss  0.867898, Time  0.266398
2021-09-16 04:20:13.568005 : Epoch  3, Batch     48, Loss  0.863983, Average Loss  0.870763, Time  0.242138
2021-09-16 04:20:14.206076 : Epoch  5, Batch    613, Loss  0.869612, Average Loss  0.867952, Time  0.266155
2021-09-16 04:20:16.146313 : Epoch  3, Batch     49, Loss  0.879118, Average Loss  0.870785, Time  0.240284
2021-09-16 04:20:17.249034 : Epoch  5, Batch    614, Loss  0.872430, Average Loss  0.867965, Time  0.265858
2021-09-16 04:20:18.735234 : Epoch  3, Batch     50, Loss  0.864289, Average Loss  0.870753, Time  0.240045
2021-09-16 04:20:20.276924 : Epoch  5, Batch    615, Loss  0.882297, Average Loss  0.867998, Time  0.265947
2021-09-16 04:20:21.316113 : Epoch  3, Batch     51, Loss  0.874920, Average Loss  0.870780, Time  0.241041
2021-09-16 04:20:23.304484 : Epoch  5, Batch    616, Loss  0.879342, Average Loss  0.867988, Time  0.265262
2021-09-16 04:20:23.899471 : Epoch  3, Batch     52, Loss  0.870916, Average Loss  0.870574, Time  0.242918
2021-09-16 04:20:26.341390 : Epoch  5, Batch    617, Loss  0.875514, Average Loss  0.868001, Time  0.266714
2021-09-16 04:20:26.478590 : Epoch  3, Batch     53, Loss  0.869358, Average Loss  0.870506, Time  0.240093
2021-09-16 04:20:29.045572 : Epoch  3, Batch     54, Loss  0.863649, Average Loss  0.870456, Time  0.240034
2021-09-16 04:20:29.399313 : Epoch  5, Batch    618, Loss  0.844865, Average Loss  0.867917, Time  0.266678
2021-09-16 04:20:31.626654 : Epoch  3, Batch     55, Loss  0.868584, Average Loss  0.870382, Time  0.241798
2021-09-16 04:20:32.401700 : Epoch  5, Batch    619, Loss  0.879466, Average Loss  0.868077, Time  0.265129
2021-09-16 04:20:34.222818 : Epoch  3, Batch     56, Loss  0.858465, Average Loss  0.870389, Time  0.243165
2021-09-16 04:20:35.426856 : Epoch  5, Batch    620, Loss  0.855266, Average Loss  0.867956, Time  0.272295
2021-09-16 04:20:36.806790 : Epoch  3, Batch     57, Loss  0.870872, Average Loss  0.870298, Time  0.240600
2021-09-16 04:20:38.476970 : Epoch  5, Batch    621, Loss  0.850057, Average Loss  0.867951, Time  0.266693
2021-09-16 04:20:39.386932 : Epoch  3, Batch     58, Loss  0.857117, Average Loss  0.870222, Time  0.240742
2021-09-16 04:20:41.523715 : Epoch  5, Batch    622, Loss  0.864654, Average Loss  0.868101, Time  0.265576
2021-09-16 04:20:41.972688 : Epoch  3, Batch     59, Loss  0.847410, Average Loss  0.870072, Time  0.240336
2021-09-16 04:20:44.533357 : Epoch  5, Batch    623, Loss  0.875206, Average Loss  0.868113, Time  0.265647
2021-09-16 04:20:44.552892 : Epoch  3, Batch     60, Loss  0.873067, Average Loss  0.870067, Time  0.240394
2021-09-16 04:20:47.159170 : Epoch  3, Batch     61, Loss  0.862821, Average Loss  0.869932, Time  0.243178
2021-09-16 04:20:47.548152 : Epoch  5, Batch    624, Loss  0.872068, Average Loss  0.868141, Time  0.266404
2021-09-16 04:20:49.760893 : Epoch  3, Batch     62, Loss  0.879260, Average Loss  0.869969, Time  0.240437
2021-09-16 04:20:50.554269 : Epoch  5, Batch    625, Loss  0.865859, Average Loss  0.868113, Time  0.265074
2021-09-16 04:20:52.355235 : Epoch  3, Batch     63, Loss  0.867982, Average Loss  0.870020, Time  0.241163
2021-09-16 04:20:53.559365 : Epoch  5, Batch    626, Loss  0.902491, Average Loss  0.868242, Time  0.266279
2021-09-16 04:20:54.944291 : Epoch  3, Batch     64, Loss  0.864680, Average Loss  0.870001, Time  0.240760
2021-09-16 04:20:56.598730 : Epoch  5, Batch    627, Loss  0.866843, Average Loss  0.868148, Time  0.265754
2021-09-16 04:20:57.532068 : Epoch  3, Batch     65, Loss  0.883446, Average Loss  0.870018, Time  0.240632
2021-09-16 04:20:59.632975 : Epoch  5, Batch    628, Loss  0.861176, Average Loss  0.868094, Time  0.265197
2021-09-16 04:21:00.149102 : Epoch  3, Batch     66, Loss  0.843934, Average Loss  0.869913, Time  0.240003
2021-09-16 04:21:02.677097 : Epoch  5, Batch    629, Loss  0.871116, Average Loss  0.868028, Time  0.266150
2021-09-16 04:21:02.717039 : Epoch  3, Batch     67, Loss  0.873969, Average Loss  0.869965, Time  0.240087
2021-09-16 04:21:05.309240 : Epoch  3, Batch     68, Loss  0.887447, Average Loss  0.869950, Time  0.240098
2021-09-16 04:21:05.749468 : Epoch  5, Batch    630, Loss  0.885714, Average Loss  0.868107, Time  0.265466
2021-09-16 04:21:07.885752 : Epoch  3, Batch     69, Loss  0.867498, Average Loss  0.869900, Time  0.239810
2021-09-16 04:21:08.778036 : Epoch  5, Batch    631, Loss  0.872266, Average Loss  0.868219, Time  0.268780
2021-09-16 04:21:10.463965 : Epoch  3, Batch     70, Loss  0.876980, Average Loss  0.869894, Time  0.240027
2021-09-16 04:21:11.790866 : Epoch  5, Batch    632, Loss  0.870213, Average Loss  0.868294, Time  0.265559
2021-09-16 04:21:13.061259 : Epoch  3, Batch     71, Loss  0.875580, Average Loss  0.869936, Time  0.240471
2021-09-16 04:21:14.842569 : Epoch  5, Batch    633, Loss  0.885149, Average Loss  0.868352, Time  0.266119
2021-09-16 04:21:15.655832 : Epoch  3, Batch     72, Loss  0.867154, Average Loss  0.869952, Time  0.240689
2021-09-16 04:21:17.851530 : Epoch  5, Batch    634, Loss  0.872498, Average Loss  0.868382, Time  0.266746
2021-09-16 04:21:18.257456 : Epoch  3, Batch     73, Loss  0.867501, Average Loss  0.869946, Time  0.240897
2021-09-16 04:21:20.827094 : Epoch  3, Batch     74, Loss  0.876609, Average Loss  0.870058, Time  0.240889
2021-09-16 04:21:20.885788 : Epoch  5, Batch    635, Loss  0.887151, Average Loss  0.868558, Time  0.271742
2021-09-16 04:21:23.400111 : Epoch  3, Batch     75, Loss  0.885996, Average Loss  0.870206, Time  0.240040
2021-09-16 04:21:23.891973 : Epoch  5, Batch    636, Loss  0.867811, Average Loss  0.868549, Time  0.267480
2021-09-16 04:21:25.977138 : Epoch  3, Batch     76, Loss  0.860301, Average Loss  0.870181, Time  0.240434
2021-09-16 04:21:26.912094 : Epoch  5, Batch    637, Loss  0.864863, Average Loss  0.868589, Time  0.265831
2021-09-16 04:21:28.579865 : Epoch  3, Batch     77, Loss  0.861346, Average Loss  0.870133, Time  0.240933
2021-09-16 04:21:29.919972 : Epoch  5, Batch    638, Loss  0.866182, Average Loss  0.868521, Time  0.265775
2021-09-16 04:21:31.156629 : Epoch  3, Batch     78, Loss  0.872231, Average Loss  0.870080, Time  0.240968
2021-09-16 04:21:32.940315 : Epoch  5, Batch    639, Loss  0.876780, Average Loss  0.868548, Time  0.265939
2021-09-16 04:21:33.736303 : Epoch  3, Batch     79, Loss  0.874326, Average Loss  0.870028, Time  0.240304
2021-09-16 04:21:35.966947 : Epoch  5, Batch    640, Loss  0.883479, Average Loss  0.868639, Time  0.265047
2021-09-16 04:21:36.321880 : Epoch  3, Batch     80, Loss  0.869821, Average Loss  0.869979, Time  0.241247
2021-09-16 04:21:38.891597 : Epoch  3, Batch     81, Loss  0.860184, Average Loss  0.869841, Time  0.239965
2021-09-16 04:21:38.973247 : Epoch  5, Batch    641, Loss  0.898498, Average Loss  0.868698, Time  0.265794
2021-09-16 04:21:41.484870 : Epoch  3, Batch     82, Loss  0.881601, Average Loss  0.869918, Time  0.242182
2021-09-16 04:21:41.974275 : Epoch  5, Batch    642, Loss  0.867658, Average Loss  0.868656, Time  0.265425
2021-09-16 04:21:44.066107 : Epoch  3, Batch     83, Loss  0.886209, Average Loss  0.870049, Time  0.240215
2021-09-16 04:21:44.969981 : Epoch  5, Batch    643, Loss  0.885438, Average Loss  0.868686, Time  0.265455
2021-09-16 04:21:46.648401 : Epoch  3, Batch     84, Loss  0.862178, Average Loss  0.870015, Time  0.240068
2021-09-16 04:21:47.959413 : Epoch  5, Batch    644, Loss  0.873899, Average Loss  0.868822, Time  0.264814
2021-09-16 04:21:49.229655 : Epoch  3, Batch     85, Loss  0.872256, Average Loss  0.869941, Time  0.240744
2021-09-16 04:21:50.968254 : Epoch  5, Batch    645, Loss  0.873057, Average Loss  0.868888, Time  0.265474
2021-09-16 04:21:51.828142 : Epoch  3, Batch     86, Loss  0.867223, Average Loss  0.869930, Time  0.240164
2021-09-16 04:21:53.978081 : Epoch  5, Batch    646, Loss  0.870030, Average Loss  0.868870, Time  0.265493
2021-09-16 04:21:54.408872 : Epoch  3, Batch     87, Loss  0.858358, Average Loss  0.869872, Time  0.240539
2021-09-16 04:21:56.976408 : Epoch  5, Batch    647, Loss  0.864126, Average Loss  0.868854, Time  0.265431
2021-09-16 04:21:56.999147 : Epoch  3, Batch     88, Loss  0.867276, Average Loss  0.869861, Time  0.240112
2021-09-16 04:21:59.994081 : Epoch  5, Batch    648, Loss  0.865508, Average Loss  0.868843, Time  0.265337
2021-09-16 04:22:03.029904 : Epoch  5, Batch    649, Loss  0.873592, Average Loss  0.868765, Time  0.265784
2021-09-16 04:22:06.066242 : Epoch  5, Batch    650, Loss  0.875307, Average Loss  0.868753, Time  0.278263
2021-09-16 04:22:09.104036 : Epoch  5, Batch    651, Loss  0.879665, Average Loss  0.868843, Time  0.268706
2021-09-16 04:22:12.116925 : Epoch  5, Batch    652, Loss  0.861811, Average Loss  0.868825, Time  0.265718
2021-09-16 04:22:15.149233 : Epoch  5, Batch    653, Loss  0.879882, Average Loss  0.868951, Time  0.266325
2021-09-16 04:22:18.175285 : Epoch  5, Batch    654, Loss  0.881116, Average Loss  0.869132, Time  0.266074
2021-09-16 04:22:21.204293 : Epoch  5, Batch    655, Loss  0.870154, Average Loss  0.869060, Time  0.266288
2021-09-16 04:22:24.243809 : Epoch  5, Batch    656, Loss  0.890612, Average Loss  0.869151, Time  0.264971
2021-09-16 04:22:27.234590 : Epoch  5, Batch    657, Loss  0.870752, Average Loss  0.869272, Time  0.267134
2021-09-16 04:22:30.254834 : Epoch  5, Batch    658, Loss  0.866954, Average Loss  0.869324, Time  0.265827
2021-09-16 04:22:33.268925 : Epoch  5, Batch    659, Loss  0.888553, Average Loss  0.869466, Time  0.265768
2021-09-16 04:22:36.288615 : Epoch  5, Batch    660, Loss  0.873894, Average Loss  0.869415, Time  0.266227
2021-09-16 04:22:39.316356 : Epoch  5, Batch    661, Loss  0.876575, Average Loss  0.869544, Time  0.266392
2021-09-16 04:22:42.330099 : Epoch  5, Batch    662, Loss  0.889418, Average Loss  0.869686, Time  0.265322
2021-09-16 04:22:45.330399 : Epoch  5, Batch    663, Loss  0.856287, Average Loss  0.869614, Time  0.264912
2021-09-16 04:22:48.333884 : Epoch  5, Batch    664, Loss  0.871480, Average Loss  0.869603, Time  0.265006
2021-09-16 04:22:51.356371 : Epoch  5, Batch    665, Loss  0.862364, Average Loss  0.869687, Time  0.277523
2021-09-16 04:22:54.362903 : Epoch  5, Batch    666, Loss  0.870588, Average Loss  0.869744, Time  0.267038
2021-09-16 04:22:57.397403 : Epoch  5, Batch    667, Loss  0.871293, Average Loss  0.869790, Time  0.266802
2021-09-16 04:23:00.412771 : Epoch  5, Batch    668, Loss  0.875042, Average Loss  0.869868, Time  0.265342
2021-09-16 04:23:03.400219 : Epoch  5, Batch    669, Loss  0.873642, Average Loss  0.869874, Time  0.265068
2021-09-16 04:23:06.389218 : Epoch  5, Batch    670, Loss  0.868665, Average Loss  0.869959, Time  0.266178
2021-09-16 04:23:09.391709 : Epoch  5, Batch    671, Loss  0.874835, Average Loss  0.869957, Time  0.267417
2021-09-16 04:23:12.395565 : Epoch  5, Batch    672, Loss  0.867794, Average Loss  0.869880, Time  0.266207
2021-09-16 04:23:15.441913 : Epoch  5, Batch    673, Loss  0.869375, Average Loss  0.869880, Time  0.266276
2021-09-16 04:23:18.460381 : Epoch  5, Batch    674, Loss  0.862117, Average Loss  0.869816, Time  0.266016
2021-09-16 04:23:21.469145 : Epoch  5, Batch    675, Loss  0.867528, Average Loss  0.869818, Time  0.266509
2021-09-16 04:23:24.520357 : Epoch  5, Batch    676, Loss  0.885254, Average Loss  0.870012, Time  0.266412
2021-09-16 04:25:59.403744 : CheckPoint: Validation Loss  0.00030098, Best Loss  0.00029477
2021-09-16 04:26:01.992253 : Epoch  3, Batch     89, Loss  0.892108, Average Loss  0.870113, Time  0.240973
2021-09-16 04:26:04.577828 : Epoch  3, Batch     90, Loss  0.874241, Average Loss  0.870077, Time  0.240936
2021-09-16 04:26:07.162374 : Epoch  3, Batch     91, Loss  0.861881, Average Loss  0.870001, Time  0.239663
2021-09-16 04:26:09.749403 : Epoch  3, Batch     92, Loss  0.885638, Average Loss  0.870041, Time  0.240095
2021-09-16 04:26:12.360819 : Epoch  3, Batch     93, Loss  0.853411, Average Loss  0.869958, Time  0.241391
2021-09-16 04:26:14.955440 : Epoch  3, Batch     94, Loss  0.856237, Average Loss  0.869886, Time  0.240066
2021-09-16 04:26:17.567934 : Epoch  3, Batch     95, Loss  0.869353, Average Loss  0.869872, Time  0.243216
2021-09-16 04:26:20.159909 : Epoch  3, Batch     96, Loss  0.864623, Average Loss  0.869881, Time  0.240964
2021-09-16 04:26:22.742950 : Epoch  3, Batch     97, Loss  0.868641, Average Loss  0.869918, Time  0.240282
2021-09-16 04:26:25.332714 : Epoch  3, Batch     98, Loss  0.856111, Average Loss  0.869791, Time  0.240233
2021-09-16 04:26:27.928949 : Epoch  3, Batch     99, Loss  0.863335, Average Loss  0.869737, Time  0.240446
2021-09-16 04:26:30.518725 : Epoch  3, Batch    100, Loss  0.860346, Average Loss  0.869586, Time  0.239937
2021-09-16 04:26:33.105400 : Epoch  3, Batch    101, Loss  0.876880, Average Loss  0.869668, Time  0.239866
2021-09-16 04:26:35.689910 : Epoch  3, Batch    102, Loss  0.876704, Average Loss  0.869680, Time  0.239912
2021-09-16 04:26:38.288807 : Epoch  3, Batch    103, Loss  0.859701, Average Loss  0.869620, Time  0.242576
2021-09-16 04:26:40.887126 : Epoch  3, Batch    104, Loss  0.868864, Average Loss  0.869657, Time  0.241065
2021-09-16 04:26:43.476892 : Epoch  3, Batch    105, Loss  0.887075, Average Loss  0.869687, Time  0.240173
2021-09-16 04:26:46.075204 : Epoch  3, Batch    106, Loss  0.850817, Average Loss  0.869626, Time  0.242856
2021-09-16 04:26:48.668842 : Epoch  3, Batch    107, Loss  0.873022, Average Loss  0.869683, Time  0.241218
2021-09-16 04:26:51.263104 : Epoch  3, Batch    108, Loss  0.858440, Average Loss  0.869660, Time  0.240526
2021-09-16 04:26:53.856151 : Epoch  3, Batch    109, Loss  0.887348, Average Loss  0.869741, Time  0.243811
2021-09-16 04:26:56.441205 : Epoch  3, Batch    110, Loss  0.874803, Average Loss  0.869794, Time  0.240417
2021-09-16 04:26:59.031179 : Epoch  3, Batch    111, Loss  0.868041, Average Loss  0.869881, Time  0.241144
2021-09-16 04:27:01.612945 : Epoch  3, Batch    112, Loss  0.868150, Average Loss  0.869926, Time  0.242006
2021-09-16 04:27:04.197532 : Epoch  3, Batch    113, Loss  0.855725, Average Loss  0.869949, Time  0.240216
2021-09-16 04:27:06.816745 : Epoch  3, Batch    114, Loss  0.877023, Average Loss  0.870041, Time  0.241001
2021-09-16 04:27:09.413446 : Epoch  3, Batch    115, Loss  0.860054, Average Loss  0.870003, Time  0.240071
2021-09-16 04:27:12.007855 : Epoch  3, Batch    116, Loss  0.865970, Average Loss  0.869939, Time  0.241106
2021-09-16 04:27:14.592963 : Epoch  3, Batch    117, Loss  0.852702, Average Loss  0.869952, Time  0.243518
2021-09-16 04:27:17.185143 : Epoch  3, Batch    118, Loss  0.873424, Average Loss  0.869908, Time  0.240452
2021-09-16 04:27:19.766906 : Epoch  3, Batch    119, Loss  0.871676, Average Loss  0.869900, Time  0.241382
2021-09-16 04:27:22.356006 : Epoch  3, Batch    120, Loss  0.867529, Average Loss  0.869874, Time  0.240715
2021-09-16 04:27:24.939935 : Epoch  3, Batch    121, Loss  0.843092, Average Loss  0.869834, Time  0.240957
2021-09-16 04:27:27.528706 : Epoch  3, Batch    122, Loss  0.882383, Average Loss  0.869897, Time  0.240883
2021-09-16 04:27:30.111408 : Epoch  3, Batch    123, Loss  0.892487, Average Loss  0.869959, Time  0.239762
2021-09-16 04:27:32.704086 : Epoch  3, Batch    124, Loss  0.860045, Average Loss  0.869834, Time  0.240295
2021-09-16 04:27:35.296094 : Epoch  3, Batch    125, Loss  0.861604, Average Loss  0.869848, Time  0.243526
2021-09-16 04:27:37.882402 : Epoch  3, Batch    126, Loss  0.882309, Average Loss  0.869885, Time  0.240505
2021-09-16 04:27:40.479907 : Epoch  3, Batch    127, Loss  0.867010, Average Loss  0.869912, Time  0.240203
2021-09-16 04:27:43.063953 : Epoch  3, Batch    128, Loss  0.870092, Average Loss  0.869979, Time  0.240119
2021-09-16 04:27:45.663827 : Epoch  3, Batch    129, Loss  0.858624, Average Loss  0.869937, Time  0.240258
2021-09-16 04:27:48.244402 : Epoch  3, Batch    130, Loss  0.876737, Average Loss  0.870100, Time  0.239961
2021-09-16 04:27:50.831090 : Epoch  3, Batch    131, Loss  0.877043, Average Loss  0.870114, Time  0.241102
2021-09-16 04:27:53.433921 : Epoch  3, Batch    132, Loss  0.861862, Average Loss  0.870175, Time  0.241146
2021-09-16 04:27:56.017076 : Epoch  3, Batch    133, Loss  0.861874, Average Loss  0.870080, Time  0.240049
2021-09-16 04:27:58.604357 : Epoch  3, Batch    134, Loss  0.870631, Average Loss  0.870149, Time  0.240991
2021-09-16 04:28:01.193429 : Epoch  3, Batch    135, Loss  0.878235, Average Loss  0.870297, Time  0.239699
2021-09-16 04:28:03.776927 : Epoch  3, Batch    136, Loss  0.866808, Average Loss  0.870226, Time  0.240606
2021-09-16 04:28:06.363392 : Epoch  3, Batch    137, Loss  0.875987, Average Loss  0.870181, Time  0.240044
2021-09-16 04:28:07.710216 : CheckPoint: Validation Loss  0.00030203, Best Loss  0.00029379
2021-09-16 04:28:08.945496 : Epoch  3, Batch    138, Loss  0.873982, Average Loss  0.870107, Time  0.241086
2021-09-16 04:28:10.739313 : Epoch  5, Batch    677, Loss  0.865941, Average Loss  0.870060, Time  0.268830
2021-09-16 04:28:11.535331 : Epoch  3, Batch    139, Loss  0.863237, Average Loss  0.870099, Time  0.241441
2021-09-16 04:28:13.796009 : Epoch  5, Batch    678, Loss  0.872308, Average Loss  0.870150, Time  0.265728
2021-09-16 04:28:14.122507 : Epoch  3, Batch    140, Loss  0.872680, Average Loss  0.870086, Time  0.243239
2021-09-16 04:28:16.708897 : Epoch  3, Batch    141, Loss  0.868622, Average Loss  0.870134, Time  0.241781
2021-09-16 04:28:16.819465 : Epoch  5, Batch    679, Loss  0.877322, Average Loss  0.870175, Time  0.265343
2021-09-16 04:28:19.302048 : Epoch  3, Batch    142, Loss  0.876906, Average Loss  0.870216, Time  0.241684
2021-09-16 04:28:19.844823 : Epoch  5, Batch    680, Loss  0.843479, Average Loss  0.870077, Time  0.263731
2021-09-16 04:28:21.888429 : Epoch  3, Batch    143, Loss  0.877633, Average Loss  0.870296, Time  0.241651
2021-09-16 04:28:22.791946 : Epoch  5, Batch    681, Loss  0.872067, Average Loss  0.870066, Time  0.266450
2021-09-16 04:28:24.480425 : Epoch  3, Batch    144, Loss  0.874974, Average Loss  0.870265, Time  0.239992
2021-09-16 04:28:25.802637 : Epoch  5, Batch    682, Loss  0.872855, Average Loss  0.870114, Time  0.265391
2021-09-16 04:28:27.071944 : Epoch  3, Batch    145, Loss  0.876063, Average Loss  0.870440, Time  0.241054
2021-09-16 04:28:28.800875 : Epoch  5, Batch    683, Loss  0.875879, Average Loss  0.870244, Time  0.264670
2021-09-16 04:28:29.651802 : Epoch  3, Batch    146, Loss  0.885943, Average Loss  0.870549, Time  0.240216
2021-09-16 04:28:31.826978 : Epoch  5, Batch    684, Loss  0.863546, Average Loss  0.870297, Time  0.265322
2021-09-16 04:28:32.249239 : Epoch  3, Batch    147, Loss  0.889665, Average Loss  0.870566, Time  0.241492
2021-09-16 04:28:34.824348 : Epoch  5, Batch    685, Loss  0.873916, Average Loss  0.870379, Time  0.265979
2021-09-16 04:28:34.829817 : Epoch  3, Batch    148, Loss  0.871182, Average Loss  0.870579, Time  0.241295
2021-09-16 04:28:37.434892 : Epoch  3, Batch    149, Loss  0.867905, Average Loss  0.870510, Time  0.241182
2021-09-16 04:28:37.841940 : Epoch  5, Batch    686, Loss  0.879252, Average Loss  0.870459, Time  0.265796
2021-09-16 04:28:40.027892 : Epoch  3, Batch    150, Loss  0.866643, Average Loss  0.870449, Time  0.240489
2021-09-16 04:28:40.860929 : Epoch  5, Batch    687, Loss  0.855345, Average Loss  0.870442, Time  0.265676
2021-09-16 04:28:42.611857 : Epoch  3, Batch    151, Loss  0.855791, Average Loss  0.870361, Time  0.240189
2021-09-16 04:28:43.872817 : Epoch  5, Batch    688, Loss  0.873207, Average Loss  0.870606, Time  0.266412
2021-09-16 04:28:45.201186 : Epoch  3, Batch    152, Loss  0.872247, Average Loss  0.870457, Time  0.240089
2021-09-16 04:28:46.896113 : Epoch  5, Batch    689, Loss  0.875380, Average Loss  0.870700, Time  0.266567
2021-09-16 04:28:47.789014 : Epoch  3, Batch    153, Loss  0.859351, Average Loss  0.870421, Time  0.240388
2021-09-16 04:28:49.928077 : Epoch  5, Batch    690, Loss  0.872359, Average Loss  0.870780, Time  0.266914
2021-09-16 04:28:50.376001 : Epoch  3, Batch    154, Loss  0.897518, Average Loss  0.870601, Time  0.240199
2021-09-16 04:28:52.942704 : Epoch  5, Batch    691, Loss  0.852486, Average Loss  0.870680, Time  0.273113
2021-09-16 04:28:52.957080 : Epoch  3, Batch    155, Loss  0.875499, Average Loss  0.870583, Time  0.241086
2021-09-16 04:28:55.544678 : Epoch  3, Batch    156, Loss  0.859547, Average Loss  0.870464, Time  0.240279
2021-09-16 04:28:55.982494 : Epoch  5, Batch    692, Loss  0.875561, Average Loss  0.870667, Time  0.267201
2021-09-16 04:28:58.130423 : Epoch  3, Batch    157, Loss  0.880260, Average Loss  0.870447, Time  0.240017
2021-09-16 04:28:59.013554 : Epoch  5, Batch    693, Loss  0.871918, Average Loss  0.870660, Time  0.265118
2021-09-16 04:29:00.720168 : Epoch  3, Batch    158, Loss  0.863493, Average Loss  0.870378, Time  0.241765
2021-09-16 04:29:02.021335 : Epoch  5, Batch    694, Loss  0.868998, Average Loss  0.870684, Time  0.266023
2021-09-16 04:29:03.303443 : Epoch  3, Batch    159, Loss  0.871416, Average Loss  0.870473, Time  0.239888
2021-09-16 04:29:05.058321 : Epoch  5, Batch    695, Loss  0.880619, Average Loss  0.870815, Time  0.266248
2021-09-16 04:29:05.899407 : Epoch  3, Batch    160, Loss  0.869435, Average Loss  0.870474, Time  0.240716
2021-09-16 04:29:08.108499 : Epoch  5, Batch    696, Loss  0.857277, Average Loss  0.870712, Time  0.265978
2021-09-16 04:29:08.483758 : Epoch  3, Batch    161, Loss  0.863012, Average Loss  0.870356, Time  0.240856
2021-09-16 04:29:11.058925 : Epoch  3, Batch    162, Loss  0.858190, Average Loss  0.870412, Time  0.240705
2021-09-16 04:29:11.167783 : Epoch  5, Batch    697, Loss  0.851797, Average Loss  0.870629, Time  0.265839
2021-09-16 04:29:13.648663 : Epoch  3, Batch    163, Loss  0.883281, Average Loss  0.870399, Time  0.241697
2021-09-16 04:29:14.202431 : Epoch  5, Batch    698, Loss  0.869303, Average Loss  0.870671, Time  0.266559
2021-09-16 04:29:16.227636 : Epoch  3, Batch    164, Loss  0.875020, Average Loss  0.870387, Time  0.239913
2021-09-16 04:29:17.239824 : Epoch  5, Batch    699, Loss  0.898458, Average Loss  0.870841, Time  0.266064
2021-09-16 04:29:18.819097 : Epoch  3, Batch    165, Loss  0.873738, Average Loss  0.870413, Time  0.241230
2021-09-16 04:29:20.246548 : Epoch  5, Batch    700, Loss  0.862234, Average Loss  0.870790, Time  0.265121
2021-09-16 04:29:21.424199 : Epoch  3, Batch    166, Loss  0.887790, Average Loss  0.870427, Time  0.241242
2021-09-16 04:29:23.247803 : Epoch  5, Batch    701, Loss  0.869583, Average Loss  0.870847, Time  0.265418
2021-09-16 04:29:24.006677 : Epoch  3, Batch    167, Loss  0.843933, Average Loss  0.870290, Time  0.240433
2021-09-16 04:29:26.268886 : Epoch  5, Batch    702, Loss  0.878872, Average Loss  0.870943, Time  0.265320
2021-09-16 04:29:26.587056 : Epoch  3, Batch    168, Loss  0.873615, Average Loss  0.870274, Time  0.241170
2021-09-16 04:29:29.162967 : Epoch  3, Batch    169, Loss  0.878688, Average Loss  0.870333, Time  0.240305
2021-09-16 04:29:29.286619 : Epoch  5, Batch    703, Loss  0.862427, Average Loss  0.870947, Time  0.266051
2021-09-16 04:29:31.755221 : Epoch  3, Batch    170, Loss  0.855728, Average Loss  0.870278, Time  0.241173
2021-09-16 04:29:32.324803 : Epoch  5, Batch    704, Loss  0.868957, Average Loss  0.870904, Time  0.265871
2021-09-16 04:29:34.339778 : Epoch  3, Batch    171, Loss  0.873933, Average Loss  0.870226, Time  0.241401
2021-09-16 04:29:35.357580 : Epoch  5, Batch    705, Loss  0.872746, Average Loss  0.870891, Time  0.265233
2021-09-16 04:29:36.923211 : Epoch  3, Batch    172, Loss  0.870046, Average Loss  0.870243, Time  0.239933
2021-09-16 04:29:38.383207 : Epoch  5, Batch    706, Loss  0.846728, Average Loss  0.870819, Time  0.274796
2021-09-16 04:29:39.519127 : Epoch  3, Batch    173, Loss  0.875443, Average Loss  0.870261, Time  0.240267
2021-09-16 04:29:41.381634 : Epoch  5, Batch    707, Loss  0.886031, Average Loss  0.870955, Time  0.269693
2021-09-16 04:29:42.099240 : Epoch  3, Batch    174, Loss  0.869370, Average Loss  0.870128, Time  0.242570
2021-09-16 04:29:44.346157 : Epoch  5, Batch    708, Loss  0.887400, Average Loss  0.871032, Time  0.265836
2021-09-16 04:29:44.689308 : Epoch  3, Batch    175, Loss  0.858128, Average Loss  0.870101, Time  0.243267
2021-09-16 04:29:47.267975 : Epoch  3, Batch    176, Loss  0.870000, Average Loss  0.869994, Time  0.240366
2021-09-16 04:29:47.361201 : Epoch  5, Batch    709, Loss  0.873368, Average Loss  0.870991, Time  0.267516
2021-09-16 04:29:49.857832 : Epoch  3, Batch    177, Loss  0.876671, Average Loss  0.870089, Time  0.241928
2021-09-16 04:29:50.378559 : Epoch  5, Batch    710, Loss  0.857043, Average Loss  0.870921, Time  0.267009
2021-09-16 04:29:52.448423 : Epoch  3, Batch    178, Loss  0.864023, Average Loss  0.870036, Time  0.240695
2021-09-16 04:29:53.383016 : Epoch  5, Batch    711, Loss  0.862701, Average Loss  0.870877, Time  0.265820
2021-09-16 04:29:55.055986 : Epoch  3, Batch    179, Loss  0.867610, Average Loss  0.869988, Time  0.241999
2021-09-16 04:29:56.395945 : Epoch  5, Batch    712, Loss  0.846767, Average Loss  0.870658, Time  0.264924
2021-09-16 04:29:57.646312 : Epoch  3, Batch    180, Loss  0.865195, Average Loss  0.870000, Time  0.241229
2021-09-16 04:29:59.442449 : Epoch  5, Batch    713, Loss  0.879951, Average Loss  0.870653, Time  0.267590
2021-09-16 04:30:00.240678 : Epoch  3, Batch    181, Loss  0.850752, Average Loss  0.869867, Time  0.240472
2021-09-16 04:30:02.502133 : Epoch  5, Batch    714, Loss  0.857931, Average Loss  0.870570, Time  0.267081
2021-09-16 04:30:02.831566 : Epoch  3, Batch    182, Loss  0.852320, Average Loss  0.869680, Time  0.240106
2021-09-16 04:30:05.413427 : Epoch  3, Batch    183, Loss  0.867612, Average Loss  0.869672, Time  0.240054
2021-09-16 04:30:05.525846 : Epoch  5, Batch    715, Loss  0.878740, Average Loss  0.870592, Time  0.266326
2021-09-16 04:30:07.997968 : Epoch  3, Batch    184, Loss  0.866298, Average Loss  0.869571, Time  0.240974
2021-09-16 04:30:08.561274 : Epoch  5, Batch    716, Loss  0.860608, Average Loss  0.870545, Time  0.266346
2021-09-16 04:30:10.590469 : Epoch  3, Batch    185, Loss  0.886107, Average Loss  0.869645, Time  0.240972
2021-09-16 04:30:11.608030 : Epoch  5, Batch    717, Loss  0.873801, Average Loss  0.870524, Time  0.265479
2021-09-16 04:30:13.177316 : Epoch  3, Batch    186, Loss  0.902559, Average Loss  0.869714, Time  0.240296
2021-09-16 04:30:14.611060 : Epoch  5, Batch    718, Loss  0.880435, Average Loss  0.870541, Time  0.265883
2021-09-16 04:30:15.767977 : Epoch  3, Batch    187, Loss  0.857233, Average Loss  0.869646, Time  0.240728
2021-09-16 04:30:17.638683 : Epoch  5, Batch    719, Loss  0.872166, Average Loss  0.870565, Time  0.268003
2021-09-16 04:30:18.362123 : Epoch  3, Batch    188, Loss  0.885461, Average Loss  0.869786, Time  0.239820
2021-09-16 04:30:20.645299 : Epoch  5, Batch    720, Loss  0.878985, Average Loss  0.870635, Time  0.266991
2021-09-16 04:30:23.704332 : Epoch  5, Batch    721, Loss  0.855112, Average Loss  0.870533, Time  0.273495
2021-09-16 04:30:26.762451 : Epoch  5, Batch    722, Loss  0.856553, Average Loss  0.870409, Time  0.266693
2021-09-16 04:30:29.830929 : Epoch  5, Batch    723, Loss  0.859552, Average Loss  0.870410, Time  0.267749
2021-09-16 04:30:32.875983 : Epoch  5, Batch    724, Loss  0.878347, Average Loss  0.870424, Time  0.266134
2021-09-16 04:30:35.914968 : Epoch  5, Batch    725, Loss  0.863938, Average Loss  0.870458, Time  0.264999
2021-09-16 04:30:38.950365 : Epoch  5, Batch    726, Loss  0.874775, Average Loss  0.870488, Time  0.265573
2021-09-16 04:30:41.965492 : Epoch  5, Batch    727, Loss  0.865046, Average Loss  0.870486, Time  0.265709
2021-09-16 04:30:44.968055 : Epoch  5, Batch    728, Loss  0.889543, Average Loss  0.870518, Time  0.266846
2021-09-16 04:30:48.004402 : Epoch  5, Batch    729, Loss  0.862916, Average Loss  0.870618, Time  0.265804
2021-09-16 04:30:51.028978 : Epoch  5, Batch    730, Loss  0.861915, Average Loss  0.870615, Time  0.266341
2021-09-16 04:30:54.078312 : Epoch  5, Batch    731, Loss  0.854264, Average Loss  0.870583, Time  0.267952
2021-09-16 04:30:57.132834 : Epoch  5, Batch    732, Loss  0.874148, Average Loss  0.870522, Time  0.267620
2021-09-16 04:31:00.159293 : Epoch  5, Batch    733, Loss  0.858995, Average Loss  0.870417, Time  0.266135
2021-09-16 04:31:03.199790 : Epoch  5, Batch    734, Loss  0.878278, Average Loss  0.870325, Time  0.266013
2021-09-16 04:31:06.223371 : Epoch  5, Batch    735, Loss  0.878185, Average Loss  0.870412, Time  0.265774
2021-09-16 04:31:09.244675 : Epoch  5, Batch    736, Loss  0.862911, Average Loss  0.870276, Time  0.277641
2021-09-16 04:31:12.285281 : Epoch  5, Batch    737, Loss  0.888002, Average Loss  0.870316, Time  0.266168
2021-09-16 04:31:15.295246 : Epoch  5, Batch    738, Loss  0.887817, Average Loss  0.870394, Time  0.265396
2021-09-16 04:31:18.320041 : Epoch  5, Batch    739, Loss  0.852504, Average Loss  0.870390, Time  0.265952
2021-09-16 04:31:21.343624 : Epoch  5, Batch    740, Loss  0.865832, Average Loss  0.870243, Time  0.265277
2021-09-16 04:31:24.377245 : Epoch  5, Batch    741, Loss  0.867078, Average Loss  0.870214, Time  0.264995
2021-09-16 04:31:27.381316 : Epoch  5, Batch    742, Loss  0.861846, Average Loss  0.870235, Time  0.265772
2021-09-16 04:31:30.393927 : Epoch  5, Batch    743, Loss  0.862663, Average Loss  0.870167, Time  0.265486
2021-09-16 04:31:33.389666 : Epoch  5, Batch    744, Loss  0.882913, Average Loss  0.870320, Time  0.265821
2021-09-16 04:31:36.377049 : Epoch  5, Batch    745, Loss  0.898094, Average Loss  0.870519, Time  0.265451
2021-09-16 04:31:39.384069 : Epoch  5, Batch    746, Loss  0.862317, Average Loss  0.870520, Time  0.264903
2021-09-16 04:31:42.387067 : Epoch  5, Batch    747, Loss  0.878695, Average Loss  0.870565, Time  0.265023
2021-09-16 04:31:45.407540 : Epoch  5, Batch    748, Loss  0.860535, Average Loss  0.870548, Time  0.266742
2021-09-16 04:31:48.406073 : Epoch  5, Batch    749, Loss  0.873677, Average Loss  0.870419, Time  0.265269
2021-09-16 04:31:51.421129 : Epoch  5, Batch    750, Loss  0.873172, Average Loss  0.870510, Time  0.266972
2021-09-16 04:31:54.452536 : Epoch  5, Batch    751, Loss  0.851527, Average Loss  0.870356, Time  0.272036
2021-09-16 04:31:57.489105 : Epoch  5, Batch    752, Loss  0.867671, Average Loss  0.870386, Time  0.266582
2021-09-16 04:32:00.508065 : Epoch  5, Batch    753, Loss  0.870313, Average Loss  0.870411, Time  0.266130
2021-09-16 04:32:03.512156 : Epoch  5, Batch    754, Loss  0.878972, Average Loss  0.870465, Time  0.265292
2021-09-16 04:32:06.555917 : Epoch  5, Batch    755, Loss  0.882614, Average Loss  0.870580, Time  0.266334
2021-09-16 04:32:09.571811 : Epoch  5, Batch    756, Loss  0.849124, Average Loss  0.870551, Time  0.265438
2021-09-16 04:32:12.587697 : Epoch  5, Batch    757, Loss  0.854401, Average Loss  0.870570, Time  0.266201
2021-09-16 04:32:15.636663 : Epoch  5, Batch    758, Loss  0.869575, Average Loss  0.870578, Time  0.267101
2021-09-16 04:32:18.650146 : Epoch  5, Batch    759, Loss  0.882897, Average Loss  0.870736, Time  0.265425
2021-09-16 04:32:21.664748 : Epoch  5, Batch    760, Loss  0.862753, Average Loss  0.870635, Time  0.265662
2021-09-16 04:32:24.689522 : Epoch  5, Batch    761, Loss  0.858035, Average Loss  0.870524, Time  0.265630
2021-09-16 04:32:27.706347 : Epoch  5, Batch    762, Loss  0.870075, Average Loss  0.870519, Time  0.264829
2021-09-16 04:32:30.716710 : Epoch  5, Batch    763, Loss  0.863435, Average Loss  0.870465, Time  0.265359
2021-09-16 04:32:33.748276 : Epoch  5, Batch    764, Loss  0.859732, Average Loss  0.870520, Time  0.265810
2021-09-16 04:32:36.779449 : Epoch  5, Batch    765, Loss  0.886501, Average Loss  0.870547, Time  0.265313
2021-09-16 04:32:39.813028 : Epoch  5, Batch    766, Loss  0.870729, Average Loss  0.870529, Time  0.278347
2021-09-16 04:32:42.853234 : Epoch  5, Batch    767, Loss  0.864243, Average Loss  0.870394, Time  0.266187
2021-09-16 04:32:45.877253 : Epoch  5, Batch    768, Loss  0.866775, Average Loss  0.870410, Time  0.265297
2021-09-16 04:32:48.906369 : Epoch  5, Batch    769, Loss  0.859646, Average Loss  0.870279, Time  0.266267
2021-09-16 04:32:51.941592 : Epoch  5, Batch    770, Loss  0.867507, Average Loss  0.870274, Time  0.268014
2021-09-16 04:32:54.960635 : Epoch  5, Batch    771, Loss  0.873248, Average Loss  0.870256, Time  0.265280
2021-09-16 04:32:57.974528 : Epoch  5, Batch    772, Loss  0.865256, Average Loss  0.870316, Time  0.266914
2021-09-16 04:33:01.016995 : Epoch  5, Batch    773, Loss  0.881746, Average Loss  0.870353, Time  0.265864
2021-09-16 04:33:04.054063 : Epoch  5, Batch    774, Loss  0.858350, Average Loss  0.870265, Time  0.266754
2021-09-16 04:33:07.061457 : Epoch  5, Batch    775, Loss  0.855993, Average Loss  0.870308, Time  0.265571
2021-09-16 04:33:10.061407 : Epoch  5, Batch    776, Loss  0.871533, Average Loss  0.870335, Time  0.265996
2021-09-16 04:34:20.439787 : CheckPoint: Validation Loss  0.00029572, Best Loss  0.00029477
2021-09-16 04:34:23.021022 : Epoch  3, Batch    189, Loss  0.880284, Average Loss  0.869809, Time  0.241621
2021-09-16 04:34:25.604044 : Epoch  3, Batch    190, Loss  0.853192, Average Loss  0.869767, Time  0.240686
2021-09-16 04:34:28.180315 : Epoch  3, Batch    191, Loss  0.877276, Average Loss  0.869737, Time  0.240584
2021-09-16 04:34:30.773618 : Epoch  3, Batch    192, Loss  0.887915, Average Loss  0.869873, Time  0.239933
2021-09-16 04:34:33.352889 : Epoch  3, Batch    193, Loss  0.875574, Average Loss  0.869965, Time  0.239700
2021-09-16 04:34:35.934080 : Epoch  3, Batch    194, Loss  0.877966, Average Loss  0.869962, Time  0.240048
2021-09-16 04:34:38.520280 : Epoch  3, Batch    195, Loss  0.868651, Average Loss  0.869968, Time  0.240081
2021-09-16 04:34:41.107973 : Epoch  3, Batch    196, Loss  0.883977, Average Loss  0.870173, Time  0.241874
2021-09-16 04:34:43.690381 : Epoch  3, Batch    197, Loss  0.861243, Average Loss  0.870071, Time  0.240110
2021-09-16 04:34:46.279577 : Epoch  3, Batch    198, Loss  0.856514, Average Loss  0.869982, Time  0.241676
2021-09-16 04:34:48.857418 : Epoch  3, Batch    199, Loss  0.852359, Average Loss  0.869884, Time  0.239722
2021-09-16 04:34:51.434469 : Epoch  3, Batch    200, Loss  0.855111, Average Loss  0.869796, Time  0.240357
2021-09-16 04:34:54.018167 : Epoch  3, Batch    201, Loss  0.871948, Average Loss  0.869896, Time  0.241428
2021-09-16 04:34:56.594988 : Epoch  3, Batch    202, Loss  0.879628, Average Loss  0.870061, Time  0.240155
2021-09-16 04:34:59.179955 : Epoch  3, Batch    203, Loss  0.880489, Average Loss  0.870131, Time  0.241753
2021-09-16 04:35:01.770450 : Epoch  3, Batch    204, Loss  0.867954, Average Loss  0.870095, Time  0.241045
2021-09-16 04:35:04.357580 : Epoch  3, Batch    205, Loss  0.895502, Average Loss  0.870286, Time  0.240377
2021-09-16 04:35:06.949921 : Epoch  3, Batch    206, Loss  0.863172, Average Loss  0.870165, Time  0.240187
2021-09-16 04:35:09.537617 : Epoch  3, Batch    207, Loss  0.849761, Average Loss  0.870063, Time  0.240036
2021-09-16 04:35:12.125091 : Epoch  3, Batch    208, Loss  0.869414, Average Loss  0.870108, Time  0.241359
2021-09-16 04:35:14.731149 : Epoch  3, Batch    209, Loss  0.872346, Average Loss  0.870046, Time  0.240932
2021-09-16 04:35:17.310895 : Epoch  3, Batch    210, Loss  0.882273, Average Loss  0.870137, Time  0.239769
2021-09-16 04:35:19.882000 : Epoch  3, Batch    211, Loss  0.865430, Average Loss  0.870077, Time  0.240559
2021-09-16 04:35:22.454400 : Epoch  3, Batch    212, Loss  0.870117, Average Loss  0.870022, Time  0.240283
2021-09-16 04:35:25.030874 : Epoch  3, Batch    213, Loss  0.854233, Average Loss  0.870039, Time  0.241135
2021-09-16 04:35:27.614067 : Epoch  3, Batch    214, Loss  0.852837, Average Loss  0.869984, Time  0.240825
2021-09-16 04:35:30.191182 : Epoch  3, Batch    215, Loss  0.866007, Average Loss  0.869951, Time  0.240386
2021-09-16 04:35:32.779539 : Epoch  3, Batch    216, Loss  0.874142, Average Loss  0.870023, Time  0.240276
2021-09-16 04:35:35.371398 : Epoch  3, Batch    217, Loss  0.868066, Average Loss  0.869903, Time  0.240474
2021-09-16 04:35:37.956391 : Epoch  3, Batch    218, Loss  0.841256, Average Loss  0.869735, Time  0.240035
2021-09-16 04:35:40.539939 : Epoch  3, Batch    219, Loss  0.864167, Average Loss  0.869750, Time  0.243652
2021-09-16 04:35:43.120174 : Epoch  3, Batch    220, Loss  0.886768, Average Loss  0.869876, Time  0.240284
2021-09-16 04:35:45.693508 : Epoch  3, Batch    221, Loss  0.893228, Average Loss  0.870021, Time  0.239974
2021-09-16 04:35:48.272454 : Epoch  3, Batch    222, Loss  0.866956, Average Loss  0.869964, Time  0.240681
2021-09-16 04:35:50.856916 : Epoch  3, Batch    223, Loss  0.877966, Average Loss  0.869973, Time  0.240776
2021-09-16 04:35:53.439964 : Epoch  3, Batch    224, Loss  0.864140, Average Loss  0.869903, Time  0.240970
2021-09-16 04:35:56.022993 : Epoch  3, Batch    225, Loss  0.861694, Average Loss  0.869824, Time  0.241475
2021-09-16 04:35:58.615489 : Epoch  3, Batch    226, Loss  0.880649, Average Loss  0.869802, Time  0.242785
2021-09-16 04:36:01.189965 : Epoch  3, Batch    227, Loss  0.865588, Average Loss  0.869720, Time  0.241124
2021-09-16 04:36:03.769146 : Epoch  3, Batch    228, Loss  0.863635, Average Loss  0.869601, Time  0.240018
2021-09-16 04:36:06.356516 : Epoch  3, Batch    229, Loss  0.862039, Average Loss  0.869675, Time  0.240869
2021-09-16 04:36:08.952102 : Epoch  3, Batch    230, Loss  0.868207, Average Loss  0.869562, Time  0.240882
2021-09-16 04:36:11.548203 : Epoch  3, Batch    231, Loss  0.845421, Average Loss  0.869449, Time  0.241319
2021-09-16 04:36:14.139712 : Epoch  3, Batch    232, Loss  0.886255, Average Loss  0.869486, Time  0.240826
2021-09-16 04:36:16.736278 : Epoch  3, Batch    233, Loss  0.872246, Average Loss  0.869594, Time  0.240651
2021-09-16 04:36:19.320681 : Epoch  3, Batch    234, Loss  0.877700, Average Loss  0.869729, Time  0.242423
2021-09-16 04:36:21.910489 : Epoch  3, Batch    235, Loss  0.882791, Average Loss  0.869674, Time  0.242330
2021-09-16 04:36:24.500001 : Epoch  3, Batch    236, Loss  0.870374, Average Loss  0.869745, Time  0.240196
2021-09-16 04:36:27.085301 : Epoch  3, Batch    237, Loss  0.873541, Average Loss  0.869800, Time  0.240252
2021-09-16 04:36:29.668398 : Epoch  3, Batch    238, Loss  0.884455, Average Loss  0.869813, Time  0.240079
2021-09-16 04:36:32.257483 : Epoch  3, Batch    239, Loss  0.864421, Average Loss  0.869749, Time  0.241359
2021-09-16 04:36:34.838133 : Epoch  3, Batch    240, Loss  0.874036, Average Loss  0.869754, Time  0.240320
2021-09-16 04:36:37.426851 : Epoch  3, Batch    241, Loss  0.866829, Average Loss  0.869745, Time  0.240634
2021-09-16 04:36:40.006733 : Epoch  3, Batch    242, Loss  0.847724, Average Loss  0.869648, Time  0.240075
2021-09-16 04:36:42.584529 : Epoch  3, Batch    243, Loss  0.870570, Average Loss  0.869611, Time  0.240172
2021-09-16 04:36:45.176696 : Epoch  3, Batch    244, Loss  0.871778, Average Loss  0.869639, Time  0.241864
2021-09-16 04:36:47.768393 : Epoch  3, Batch    245, Loss  0.885811, Average Loss  0.869775, Time  0.240716
2021-09-16 04:36:50.348948 : Epoch  3, Batch    246, Loss  0.868418, Average Loss  0.869676, Time  0.241036
2021-09-16 04:36:52.940883 : Epoch  3, Batch    247, Loss  0.865484, Average Loss  0.869709, Time  0.240236
2021-09-16 04:36:55.532799 : Epoch  3, Batch    248, Loss  0.862817, Average Loss  0.869704, Time  0.241407
2021-09-16 04:36:58.118161 : Epoch  3, Batch    249, Loss  0.872141, Average Loss  0.869669, Time  0.240016
2021-09-16 04:37:00.706312 : Epoch  3, Batch    250, Loss  0.849095, Average Loss  0.869593, Time  0.242367
2021-09-16 04:37:03.295447 : Epoch  3, Batch    251, Loss  0.862975, Average Loss  0.869533, Time  0.241729
2021-09-16 04:37:05.888042 : Epoch  3, Batch    252, Loss  0.864171, Average Loss  0.869499, Time  0.240509
2021-09-16 04:37:08.479823 : Epoch  3, Batch    253, Loss  0.860982, Average Loss  0.869457, Time  0.241112
2021-09-16 04:37:11.073058 : Epoch  3, Batch    254, Loss  0.862220, Average Loss  0.869450, Time  0.240325
2021-09-16 04:37:13.659134 : Epoch  3, Batch    255, Loss  0.886301, Average Loss  0.869539, Time  0.240698
2021-09-16 04:37:16.248765 : Epoch  3, Batch    256, Loss  0.876130, Average Loss  0.869627, Time  0.241052
2021-09-16 04:37:18.835876 : Epoch  3, Batch    257, Loss  0.874469, Average Loss  0.869645, Time  0.240201
2021-09-16 04:37:21.432826 : Epoch  3, Batch    258, Loss  0.883875, Average Loss  0.869779, Time  0.240769
2021-09-16 04:37:24.010997 : Epoch  3, Batch    259, Loss  0.877452, Average Loss  0.869929, Time  0.239997
2021-09-16 04:37:26.599838 : Epoch  3, Batch    260, Loss  0.862869, Average Loss  0.869878, Time  0.239991
2021-09-16 04:37:29.184181 : Epoch  3, Batch    261, Loss  0.883722, Average Loss  0.869983, Time  0.240222
2021-09-16 04:37:31.758636 : Epoch  3, Batch    262, Loss  0.877996, Average Loss  0.869976, Time  0.240116
2021-09-16 04:37:34.348027 : Epoch  3, Batch    263, Loss  0.872423, Average Loss  0.869999, Time  0.240320
2021-09-16 04:37:36.939007 : Epoch  3, Batch    264, Loss  0.861040, Average Loss  0.869980, Time  0.240298
2021-09-16 04:37:39.524983 : Epoch  3, Batch    265, Loss  0.873763, Average Loss  0.869932, Time  0.239935
2021-09-16 04:37:42.103567 : Epoch  3, Batch    266, Loss  0.869236, Average Loss  0.870058, Time  0.241145
2021-09-16 04:37:44.687100 : Epoch  3, Batch    267, Loss  0.872777, Average Loss  0.870053, Time  0.239962
2021-09-16 04:37:47.267277 : Epoch  3, Batch    268, Loss  0.880751, Average Loss  0.870019, Time  0.239991
2021-09-16 04:37:49.855406 : Epoch  3, Batch    269, Loss  0.863400, Average Loss  0.869999, Time  0.241123
2021-09-16 04:37:50.879205 : CheckPoint: Validation Loss  0.00030932, Best Loss  0.00029379
2021-09-16 04:37:52.433330 : Epoch  3, Batch    270, Loss  0.864508, Average Loss  0.869936, Time  0.244412
2021-09-16 04:37:53.941292 : Epoch  5, Batch    777, Loss  0.843988, Average Loss  0.870323, Time  0.267947
2021-09-16 04:37:55.015718 : Epoch  3, Batch    271, Loss  0.880854, Average Loss  0.869963, Time  0.242165
2021-09-16 04:37:56.980177 : Epoch  5, Batch    778, Loss  0.882267, Average Loss  0.870381, Time  0.264954
2021-09-16 04:37:57.598517 : Epoch  3, Batch    272, Loss  0.890194, Average Loss  0.870078, Time  0.240063
2021-09-16 04:38:00.009921 : Epoch  5, Batch    779, Loss  0.871067, Average Loss  0.870460, Time  0.265848
2021-09-16 04:38:00.190731 : Epoch  3, Batch    273, Loss  0.875524, Average Loss  0.870118, Time  0.241513
2021-09-16 04:38:02.759859 : Epoch  3, Batch    274, Loss  0.866004, Average Loss  0.870065, Time  0.240890
2021-09-16 04:38:03.054872 : Epoch  5, Batch    780, Loss  0.858592, Average Loss  0.870361, Time  0.276264
2021-09-16 04:38:05.337634 : Epoch  3, Batch    275, Loss  0.864780, Average Loss  0.869959, Time  0.240597
2021-09-16 04:38:06.090481 : Epoch  5, Batch    781, Loss  0.873420, Average Loss  0.870426, Time  0.265972
2021-09-16 04:38:07.924064 : Epoch  3, Batch    276, Loss  0.849074, Average Loss  0.869903, Time  0.240264
2021-09-16 04:38:09.104180 : Epoch  5, Batch    782, Loss  0.865398, Average Loss  0.870461, Time  0.265621
2021-09-16 04:38:10.513410 : Epoch  3, Batch    277, Loss  0.866428, Average Loss  0.869928, Time  0.239992
2021-09-16 04:38:12.143221 : Epoch  5, Batch    783, Loss  0.871195, Average Loss  0.870541, Time  0.267128
2021-09-16 04:38:13.089861 : Epoch  3, Batch    278, Loss  0.863245, Average Loss  0.869883, Time  0.241496
2021-09-16 04:38:15.158855 : Epoch  5, Batch    784, Loss  0.873067, Average Loss  0.870600, Time  0.264743
2021-09-16 04:38:15.673410 : Epoch  3, Batch    279, Loss  0.889302, Average Loss  0.869958, Time  0.239866
2021-09-16 04:38:18.151420 : Epoch  5, Batch    785, Loss  0.875337, Average Loss  0.870719, Time  0.265440
2021-09-16 04:38:18.244549 : Epoch  3, Batch    280, Loss  0.864694, Average Loss  0.869932, Time  0.240574
2021-09-16 04:38:20.823880 : Epoch  3, Batch    281, Loss  0.853327, Average Loss  0.869898, Time  0.240156
2021-09-16 04:38:21.154728 : Epoch  5, Batch    786, Loss  0.882326, Average Loss  0.870848, Time  0.265091
2021-09-16 04:38:23.400419 : Epoch  3, Batch    282, Loss  0.851006, Average Loss  0.869745, Time  0.239531
2021-09-16 04:38:24.143778 : Epoch  5, Batch    787, Loss  0.870715, Average Loss  0.870942, Time  0.268188
2021-09-16 04:38:25.975007 : Epoch  3, Batch    283, Loss  0.857096, Average Loss  0.869600, Time  0.240017
2021-09-16 04:38:27.156646 : Epoch  5, Batch    788, Loss  0.858003, Average Loss  0.870912, Time  0.265938
2021-09-16 04:38:28.557405 : Epoch  3, Batch    284, Loss  0.888100, Average Loss  0.869729, Time  0.240076
2021-09-16 04:38:30.131850 : Epoch  5, Batch    789, Loss  0.892325, Average Loss  0.870974, Time  0.264797
2021-09-16 04:38:31.134048 : Epoch  3, Batch    285, Loss  0.878576, Average Loss  0.869761, Time  0.240034
2021-09-16 04:38:33.155789 : Epoch  5, Batch    790, Loss  0.874382, Average Loss  0.871013, Time  0.266338
2021-09-16 04:38:33.733432 : Epoch  3, Batch    286, Loss  0.856835, Average Loss  0.869709, Time  0.240094
2021-09-16 04:38:36.182777 : Epoch  5, Batch    791, Loss  0.864423, Average Loss  0.870912, Time  0.265200
2021-09-16 04:38:36.324370 : Epoch  3, Batch    287, Loss  0.870703, Average Loss  0.869771, Time  0.240341
2021-09-16 04:38:39.211381 : Epoch  5, Batch    792, Loss  0.850518, Average Loss  0.870699, Time  0.266843
2021-09-16 04:38:42.260509 : Epoch  5, Batch    793, Loss  0.882920, Average Loss  0.870762, Time  0.266420
2021-09-16 04:38:45.274745 : Epoch  5, Batch    794, Loss  0.879516, Average Loss  0.870729, Time  0.266294
2021-09-16 04:38:47.766797 : Epoch  3, Batch    288, Loss  0.859509, Average Loss  0.869732, Time  0.276937
2021-09-16 04:38:48.329619 : Epoch  5, Batch    795, Loss  0.886704, Average Loss  0.870767, Time  0.276692
2021-09-16 04:38:51.332818 : Epoch  5, Batch    796, Loss  0.874626, Average Loss  0.870724, Time  0.265980
2021-09-16 04:38:54.344393 : Epoch  5, Batch    797, Loss  0.877790, Average Loss  0.870881, Time  0.266298
2021-09-16 04:38:57.388227 : Epoch  5, Batch    798, Loss  0.855452, Average Loss  0.870769, Time  0.266406
2021-09-16 04:39:00.393197 : Epoch  5, Batch    799, Loss  0.876905, Average Loss  0.870696, Time  0.265873
2021-09-16 04:39:03.395776 : Epoch  5, Batch    800, Loss  0.848404, Average Loss  0.870663, Time  0.264910
2021-09-16 04:39:06.405134 : Epoch  5, Batch    801, Loss  0.873081, Average Loss  0.870624, Time  0.265493
2021-09-16 04:39:09.387775 : Epoch  5, Batch    802, Loss  0.863554, Average Loss  0.870600, Time  0.265183
2021-09-16 04:39:12.394427 : Epoch  5, Batch    803, Loss  0.855848, Average Loss  0.870481, Time  0.267548
2021-09-16 04:39:15.411091 : Epoch  5, Batch    804, Loss  0.860383, Average Loss  0.870363, Time  0.265388
2021-09-16 04:39:18.417718 : Epoch  5, Batch    805, Loss  0.882899, Average Loss  0.870310, Time  0.265248
2021-09-16 04:39:21.436671 : Epoch  5, Batch    806, Loss  0.888034, Average Loss  0.870595, Time  0.266334
2021-09-16 04:39:24.466931 : Epoch  5, Batch    807, Loss  0.875050, Average Loss  0.870511, Time  0.268174
2021-09-16 04:39:27.536963 : Epoch  5, Batch    808, Loss  0.873176, Average Loss  0.870499, Time  0.266323
2021-09-16 04:39:30.577453 : Epoch  5, Batch    809, Loss  0.872925, Average Loss  0.870512, Time  0.266475
2021-09-16 04:39:33.648017 : Epoch  5, Batch    810, Loss  0.854563, Average Loss  0.870490, Time  0.275563
2021-09-16 04:39:36.683101 : Epoch  5, Batch    811, Loss  0.868510, Average Loss  0.870482, Time  0.266380
2021-09-16 04:39:39.696536 : Epoch  5, Batch    812, Loss  0.893822, Average Loss  0.870567, Time  0.265762
2021-09-16 04:39:42.735066 : Epoch  5, Batch    813, Loss  0.864241, Average Loss  0.870540, Time  0.265712
2021-09-16 04:39:45.732460 : Epoch  5, Batch    814, Loss  0.899016, Average Loss  0.870673, Time  0.266390
2021-09-16 04:39:48.735423 : Epoch  5, Batch    815, Loss  0.854181, Average Loss  0.870532, Time  0.265258
2021-09-16 04:39:51.738140 : Epoch  5, Batch    816, Loss  0.877565, Average Loss  0.870523, Time  0.265485
2021-09-16 04:39:54.751766 : Epoch  5, Batch    817, Loss  0.877558, Average Loss  0.870534, Time  0.265880
2021-09-16 04:39:57.745664 : Epoch  5, Batch    818, Loss  0.867566, Average Loss  0.870647, Time  0.265628
2021-09-16 04:40:00.753514 : Epoch  5, Batch    819, Loss  0.873769, Average Loss  0.870619, Time  0.265448
2021-09-16 04:40:03.758961 : Epoch  5, Batch    820, Loss  0.871913, Average Loss  0.870702, Time  0.265423
2021-09-16 04:40:06.775939 : Epoch  5, Batch    821, Loss  0.862501, Average Loss  0.870764, Time  0.265267
2021-09-16 04:40:09.796025 : Epoch  5, Batch    822, Loss  0.884055, Average Loss  0.870861, Time  0.265385
2021-09-16 04:40:12.820535 : Epoch  5, Batch    823, Loss  0.865063, Average Loss  0.870810, Time  0.266567
2021-09-16 04:40:15.857557 : Epoch  5, Batch    824, Loss  0.875256, Average Loss  0.870826, Time  0.266257
2021-09-16 04:40:18.897116 : Epoch  5, Batch    825, Loss  0.862388, Average Loss  0.870809, Time  0.279965
2021-09-16 04:40:21.950771 : Epoch  5, Batch    826, Loss  0.863228, Average Loss  0.870613, Time  0.266819
2021-09-16 04:40:24.967488 : Epoch  5, Batch    827, Loss  0.884112, Average Loss  0.870699, Time  0.266802
2021-09-16 04:40:27.987993 : Epoch  5, Batch    828, Loss  0.872930, Average Loss  0.870758, Time  0.266928
2021-09-16 04:40:30.993925 : Epoch  5, Batch    829, Loss  0.872330, Average Loss  0.870764, Time  0.265510
2021-09-16 04:40:33.991737 : Epoch  5, Batch    830, Loss  0.861655, Average Loss  0.870643, Time  0.265855
2021-09-16 04:40:36.993079 : Epoch  5, Batch    831, Loss  0.879328, Average Loss  0.870679, Time  0.266499
2021-09-16 04:40:40.021061 : Epoch  5, Batch    832, Loss  0.882120, Average Loss  0.870738, Time  0.266961
2021-09-16 04:40:43.039562 : Epoch  5, Batch    833, Loss  0.847231, Average Loss  0.870549, Time  0.265526
2021-09-16 04:40:46.043931 : Epoch  5, Batch    834, Loss  0.864453, Average Loss  0.870508, Time  0.266215
2021-09-16 04:40:49.065041 : Epoch  5, Batch    835, Loss  0.878924, Average Loss  0.870467, Time  0.265566
2021-09-16 04:40:52.080431 : Epoch  5, Batch    836, Loss  0.858088, Average Loss  0.870419, Time  0.266523
2021-09-16 04:40:55.086073 : Epoch  5, Batch    837, Loss  0.875281, Average Loss  0.870471, Time  0.265182
2021-09-16 04:40:58.100048 : Epoch  5, Batch    838, Loss  0.884103, Average Loss  0.870560, Time  0.265204
2021-09-16 04:41:01.126362 : Epoch  5, Batch    839, Loss  0.888347, Average Loss  0.870618, Time  0.266058
2021-09-16 04:41:04.144448 : Epoch  5, Batch    840, Loss  0.884059, Average Loss  0.870621, Time  0.279358
2021-09-16 04:41:07.150776 : Epoch  5, Batch    841, Loss  0.882686, Average Loss  0.870542, Time  0.266591
2021-09-16 04:41:10.186597 : Epoch  5, Batch    842, Loss  0.882767, Average Loss  0.870618, Time  0.266306
2021-09-16 04:41:13.205490 : Epoch  5, Batch    843, Loss  0.865715, Average Loss  0.870519, Time  0.265908
2021-09-16 04:41:16.214829 : Epoch  5, Batch    844, Loss  0.872764, Average Loss  0.870513, Time  0.265588
2021-09-16 04:41:19.246567 : Epoch  5, Batch    845, Loss  0.892466, Average Loss  0.870610, Time  0.266557
2021-09-16 04:41:22.287982 : Epoch  5, Batch    846, Loss  0.874946, Average Loss  0.870635, Time  0.265332
2021-09-16 04:41:25.286477 : Epoch  5, Batch    847, Loss  0.849599, Average Loss  0.870562, Time  0.265924
2021-09-16 04:41:28.285867 : Epoch  5, Batch    848, Loss  0.877271, Average Loss  0.870621, Time  0.266160
2021-09-16 04:41:31.265702 : Epoch  5, Batch    849, Loss  0.867624, Average Loss  0.870591, Time  0.267426
2021-09-16 04:41:34.304911 : Epoch  5, Batch    850, Loss  0.857136, Average Loss  0.870500, Time  0.266797
2021-09-16 04:41:37.343405 : Epoch  5, Batch    851, Loss  0.876572, Average Loss  0.870485, Time  0.266214
2021-09-16 04:41:40.364002 : Epoch  5, Batch    852, Loss  0.875578, Average Loss  0.870554, Time  0.267074
2021-09-16 04:41:43.403374 : Epoch  5, Batch    853, Loss  0.855218, Average Loss  0.870430, Time  0.264927
2021-09-16 04:41:46.404119 : Epoch  5, Batch    854, Loss  0.877857, Average Loss  0.870414, Time  0.265326
2021-09-16 04:41:49.431913 : Epoch  5, Batch    855, Loss  0.879838, Average Loss  0.870463, Time  0.279989
2021-09-16 04:41:52.432021 : Epoch  5, Batch    856, Loss  0.875207, Average Loss  0.870386, Time  0.265954
2021-09-16 04:41:55.467149 : Epoch  5, Batch    857, Loss  0.859870, Average Loss  0.870331, Time  0.266659
2021-09-16 04:41:58.478401 : Epoch  5, Batch    858, Loss  0.884727, Average Loss  0.870420, Time  0.265089
2021-09-16 04:42:01.472780 : Epoch  5, Batch    859, Loss  0.883528, Average Loss  0.870395, Time  0.268463
2021-09-16 04:42:04.479818 : Epoch  5, Batch    860, Loss  0.875488, Average Loss  0.870403, Time  0.265551
2021-09-16 04:42:07.484984 : Epoch  5, Batch    861, Loss  0.867285, Average Loss  0.870356, Time  0.265722
2021-09-16 04:42:10.502165 : Epoch  5, Batch    862, Loss  0.870232, Average Loss  0.870261, Time  0.266916
2021-09-16 04:42:13.512169 : Epoch  5, Batch    863, Loss  0.868238, Average Loss  0.870320, Time  0.265900
2021-09-16 04:42:16.528093 : Epoch  5, Batch    864, Loss  0.866176, Average Loss  0.870294, Time  0.265456
2021-09-16 04:42:19.534633 : Epoch  5, Batch    865, Loss  0.890552, Average Loss  0.870435, Time  0.266250
2021-09-16 04:42:22.553062 : Epoch  5, Batch    866, Loss  0.871403, Average Loss  0.870439, Time  0.266735
2021-09-16 04:42:25.612623 : Epoch  5, Batch    867, Loss  0.862349, Average Loss  0.870394, Time  0.266511
2021-09-16 04:42:28.645418 : Epoch  5, Batch    868, Loss  0.870722, Average Loss  0.870372, Time  0.266866
2021-09-16 04:42:31.658365 : Epoch  5, Batch    869, Loss  0.855082, Average Loss  0.870280, Time  0.265731
2021-09-16 04:42:34.690024 : Epoch  5, Batch    870, Loss  0.890357, Average Loss  0.870388, Time  0.272418
2021-09-16 04:42:37.724807 : Epoch  5, Batch    871, Loss  0.863335, Average Loss  0.870331, Time  0.266349
2021-09-16 04:42:40.783755 : Epoch  5, Batch    872, Loss  0.864028, Average Loss  0.870312, Time  0.266767
2021-09-16 04:42:43.824308 : Epoch  5, Batch    873, Loss  0.870999, Average Loss  0.870320, Time  0.266625
2021-09-16 04:42:46.873505 : Epoch  5, Batch    874, Loss  0.876491, Average Loss  0.870392, Time  0.265378
2021-09-16 04:42:47.739758 : CheckPoint: Validation Loss  0.00030513, Best Loss  0.00029477
2021-09-16 04:42:49.892325 : Epoch  5, Batch    875, Loss  0.882263, Average Loss  0.870465, Time  0.265656
2021-09-16 04:42:50.349879 : Epoch  3, Batch    289, Loss  0.861122, Average Loss  0.869577, Time  0.266354
2021-09-16 04:42:52.908526 : Epoch  5, Batch    876, Loss  0.887320, Average Loss  0.870476, Time  0.265992
2021-09-16 04:42:52.936774 : Epoch  3, Batch    290, Loss  0.846311, Average Loss  0.869437, Time  0.242288
2021-09-16 04:42:55.519079 : Epoch  3, Batch    291, Loss  0.881773, Average Loss  0.869537, Time  0.239919
2021-09-16 04:42:58.119668 : Epoch  3, Batch    292, Loss  0.874502, Average Loss  0.869481, Time  0.240092
2021-09-16 04:43:00.708722 : Epoch  3, Batch    293, Loss  0.844100, Average Loss  0.869434, Time  0.239948
2021-09-16 04:43:03.301262 : Epoch  3, Batch    294, Loss  0.872908, Average Loss  0.869518, Time  0.240066
2021-09-16 04:43:05.889013 : Epoch  3, Batch    295, Loss  0.861248, Average Loss  0.869477, Time  0.240653
2021-09-16 04:43:08.488145 : Epoch  3, Batch    296, Loss  0.888796, Average Loss  0.869598, Time  0.239932
2021-09-16 04:43:11.079577 : Epoch  3, Batch    297, Loss  0.873465, Average Loss  0.869622, Time  0.239895
2021-09-16 04:43:13.661412 : Epoch  3, Batch    298, Loss  0.870040, Average Loss  0.869692, Time  0.240054
2021-09-16 04:43:16.247071 : Epoch  3, Batch    299, Loss  0.859843, Average Loss  0.869674, Time  0.240825
2021-09-16 04:43:18.828706 : Epoch  3, Batch    300, Loss  0.841301, Average Loss  0.869579, Time  0.240065
2021-09-16 04:43:21.412911 : Epoch  3, Batch    301, Loss  0.871276, Average Loss  0.869551, Time  0.240021
2021-09-16 04:43:24.004815 : Epoch  3, Batch    302, Loss  0.856256, Average Loss  0.869449, Time  0.240675
2021-09-16 04:43:26.591125 : Epoch  3, Batch    303, Loss  0.878465, Average Loss  0.869543, Time  0.240182
2021-09-16 04:43:29.193817 : Epoch  3, Batch    304, Loss  0.853265, Average Loss  0.869465, Time  0.242393
2021-09-16 04:43:31.787084 : Epoch  3, Batch    305, Loss  0.877655, Average Loss  0.869418, Time  0.243117
2021-09-16 04:43:34.375060 : Epoch  3, Batch    306, Loss  0.865398, Average Loss  0.869490, Time  0.241107
2021-09-16 04:43:36.977273 : Epoch  3, Batch    307, Loss  0.878521, Average Loss  0.869518, Time  0.241544
2021-09-16 04:43:39.571431 : Epoch  3, Batch    308, Loss  0.893436, Average Loss  0.869693, Time  0.240597
2021-09-16 04:43:42.154631 : Epoch  3, Batch    309, Loss  0.874695, Average Loss  0.869630, Time  0.240126
2021-09-16 04:43:44.736636 : Epoch  3, Batch    310, Loss  0.870033, Average Loss  0.869606, Time  0.240696
2021-09-16 04:43:47.323218 : Epoch  3, Batch    311, Loss  0.863628, Average Loss  0.869584, Time  0.242965
2021-09-16 04:43:49.910541 : Epoch  3, Batch    312, Loss  0.859242, Average Loss  0.869539, Time  0.240157
2021-09-16 04:43:52.502219 : Epoch  3, Batch    313, Loss  0.867949, Average Loss  0.869600, Time  0.240446
2021-09-16 04:43:55.088141 : Epoch  3, Batch    314, Loss  0.849079, Average Loss  0.869461, Time  0.241696
2021-09-16 04:43:57.673906 : Epoch  3, Batch    315, Loss  0.857244, Average Loss  0.869447, Time  0.242426
2021-09-16 04:44:00.263977 : Epoch  3, Batch    316, Loss  0.869156, Average Loss  0.869463, Time  0.240370
2021-09-16 04:44:02.836906 : Epoch  3, Batch    317, Loss  0.866942, Average Loss  0.869534, Time  0.240568
2021-09-16 04:44:05.424930 : Epoch  3, Batch    318, Loss  0.851258, Average Loss  0.869423, Time  0.241343
2021-09-16 04:44:08.013106 : Epoch  3, Batch    319, Loss  0.879284, Average Loss  0.869461, Time  0.241615
2021-09-16 04:44:10.595927 : Epoch  3, Batch    320, Loss  0.878913, Average Loss  0.869518, Time  0.242188
2021-09-16 04:44:13.181099 : Epoch  3, Batch    321, Loss  0.890237, Average Loss  0.869754, Time  0.240743
2021-09-16 04:44:15.774147 : Epoch  3, Batch    322, Loss  0.856726, Average Loss  0.869625, Time  0.240313
2021-09-16 04:44:18.362143 : Epoch  3, Batch    323, Loss  0.865071, Average Loss  0.869488, Time  0.240927
2021-09-16 04:44:20.948280 : Epoch  3, Batch    324, Loss  0.879287, Average Loss  0.869584, Time  0.242488
2021-09-16 04:44:23.540822 : Epoch  3, Batch    325, Loss  0.878366, Average Loss  0.869668, Time  0.241097
2021-09-16 04:44:26.126254 : Epoch  3, Batch    326, Loss  0.861502, Average Loss  0.869564, Time  0.240173
2021-09-16 04:44:28.722062 : Epoch  3, Batch    327, Loss  0.863125, Average Loss  0.869545, Time  0.240663
2021-09-16 04:44:31.311122 : Epoch  3, Batch    328, Loss  0.856484, Average Loss  0.869477, Time  0.242036
2021-09-16 04:44:33.900450 : Epoch  3, Batch    329, Loss  0.868837, Average Loss  0.869528, Time  0.240850
2021-09-16 04:44:36.501991 : Epoch  3, Batch    330, Loss  0.876853, Average Loss  0.869528, Time  0.244863
2021-09-16 04:44:39.101866 : Epoch  3, Batch    331, Loss  0.856800, Average Loss  0.869427, Time  0.240571
2021-09-16 04:44:41.698994 : Epoch  3, Batch    332, Loss  0.881012, Average Loss  0.869523, Time  0.240805
2021-09-16 04:44:44.289913 : Epoch  3, Batch    333, Loss  0.882009, Average Loss  0.869624, Time  0.241186
2021-09-16 04:44:46.881095 : Epoch  3, Batch    334, Loss  0.851442, Average Loss  0.869528, Time  0.240116
2021-09-16 04:44:49.465167 : Epoch  3, Batch    335, Loss  0.861617, Average Loss  0.869445, Time  0.240808
2021-09-16 04:44:52.063027 : Epoch  3, Batch    336, Loss  0.858115, Average Loss  0.869401, Time  0.242194
2021-09-16 04:44:54.667558 : Epoch  3, Batch    337, Loss  0.871229, Average Loss  0.869377, Time  0.240626
2021-09-16 04:44:57.256508 : Epoch  3, Batch    338, Loss  0.856176, Average Loss  0.869288, Time  0.240367
2021-09-16 04:44:59.855559 : Epoch  3, Batch    339, Loss  0.872629, Average Loss  0.869335, Time  0.240102
2021-09-16 04:45:02.446879 : Epoch  3, Batch    340, Loss  0.863631, Average Loss  0.869290, Time  0.241085
2021-09-16 04:45:05.043802 : Epoch  3, Batch    341, Loss  0.889062, Average Loss  0.869392, Time  0.241320
2021-09-16 04:45:07.650063 : Epoch  3, Batch    342, Loss  0.873604, Average Loss  0.869376, Time  0.240522
2021-09-16 04:45:10.253052 : Epoch  3, Batch    343, Loss  0.860189, Average Loss  0.869288, Time  0.240623
2021-09-16 04:45:12.838409 : Epoch  3, Batch    344, Loss  0.902984, Average Loss  0.869428, Time  0.239880
2021-09-16 04:45:15.431442 : Epoch  3, Batch    345, Loss  0.872716, Average Loss  0.869412, Time  0.239803
2021-09-16 04:45:18.019883 : Epoch  3, Batch    346, Loss  0.864936, Average Loss  0.869307, Time  0.240036
2021-09-16 04:45:20.607829 : Epoch  3, Batch    347, Loss  0.876986, Average Loss  0.869243, Time  0.240197
2021-09-16 04:45:23.202947 : Epoch  3, Batch    348, Loss  0.861648, Average Loss  0.869196, Time  0.240201
2021-09-16 04:45:25.798019 : Epoch  3, Batch    349, Loss  0.872823, Average Loss  0.869220, Time  0.239977
2021-09-16 04:45:28.391915 : Epoch  3, Batch    350, Loss  0.866417, Average Loss  0.869219, Time  0.240232
2021-09-16 04:45:30.983547 : Epoch  3, Batch    351, Loss  0.859957, Average Loss  0.869240, Time  0.241277
2021-09-16 04:45:33.579199 : Epoch  3, Batch    352, Loss  0.880509, Average Loss  0.869281, Time  0.240065
2021-09-16 04:45:36.172618 : Epoch  3, Batch    353, Loss  0.868642, Average Loss  0.869328, Time  0.240899
2021-09-16 04:45:38.769832 : Epoch  3, Batch    354, Loss  0.869901, Average Loss  0.869190, Time  0.241004
2021-09-16 04:45:41.361061 : Epoch  3, Batch    355, Loss  0.877467, Average Loss  0.869199, Time  0.239909
2021-09-16 04:45:43.948691 : Epoch  3, Batch    356, Loss  0.874290, Average Loss  0.869273, Time  0.240155
2021-09-16 04:45:46.544999 : Epoch  3, Batch    357, Loss  0.860091, Average Loss  0.869172, Time  0.240338
2021-09-16 04:45:49.131855 : Epoch  3, Batch    358, Loss  0.902994, Average Loss  0.869370, Time  0.240633
2021-09-16 04:45:51.725996 : Epoch  3, Batch    359, Loss  0.895565, Average Loss  0.869491, Time  0.240734
2021-09-16 04:45:54.320587 : Epoch  3, Batch    360, Loss  0.869133, Average Loss  0.869489, Time  0.240075
2021-09-16 04:45:56.905908 : Epoch  3, Batch    361, Loss  0.873445, Average Loss  0.869541, Time  0.240229
2021-09-16 04:45:59.483243 : Epoch  3, Batch    362, Loss  0.892082, Average Loss  0.869711, Time  0.240900
2021-09-16 04:46:02.077188 : Epoch  3, Batch    363, Loss  0.861695, Average Loss  0.869603, Time  0.240174
2021-09-16 04:46:04.665108 : Epoch  3, Batch    364, Loss  0.865183, Average Loss  0.869554, Time  0.240317
2021-09-16 04:46:07.256867 : Epoch  3, Batch    365, Loss  0.887058, Average Loss  0.869620, Time  0.240201
2021-09-16 04:46:09.839495 : Epoch  3, Batch    366, Loss  0.862409, Average Loss  0.869493, Time  0.240137
2021-09-16 04:46:12.425497 : Epoch  3, Batch    367, Loss  0.882635, Average Loss  0.869687, Time  0.242210
2021-09-16 04:46:15.018630 : Epoch  3, Batch    368, Loss  0.871373, Average Loss  0.869676, Time  0.240118
2021-09-16 04:46:17.615136 : Epoch  3, Batch    369, Loss  0.860550, Average Loss  0.869585, Time  0.240006
2021-09-16 04:46:20.201989 : Epoch  3, Batch    370, Loss  0.854961, Average Loss  0.869581, Time  0.241555
2021-09-16 04:46:22.791191 : Epoch  3, Batch    371, Loss  0.885963, Average Loss  0.869641, Time  0.240023
2021-09-16 04:46:25.380410 : Epoch  3, Batch    372, Loss  0.873098, Average Loss  0.869656, Time  0.240796
2021-09-16 04:46:27.976888 : Epoch  3, Batch    373, Loss  0.868421, Average Loss  0.869621, Time  0.241344
2021-09-16 04:46:30.582841 : Epoch  3, Batch    374, Loss  0.865030, Average Loss  0.869600, Time  0.242198
2021-09-16 04:46:33.174416 : Epoch  3, Batch    375, Loss  0.872624, Average Loss  0.869672, Time  0.240098
2021-09-16 04:46:35.768649 : Epoch  3, Batch    376, Loss  0.885964, Average Loss  0.869752, Time  0.242736
2021-09-16 04:46:38.375892 : Epoch  3, Batch    377, Loss  0.870388, Average Loss  0.869721, Time  0.240709
2021-09-16 04:46:40.964476 : Epoch  3, Batch    378, Loss  0.869920, Average Loss  0.869750, Time  0.242473
2021-09-16 04:46:43.548087 : Epoch  3, Batch    379, Loss  0.867449, Average Loss  0.869749, Time  0.240758
2021-09-16 04:46:46.145893 : Epoch  3, Batch    380, Loss  0.874115, Average Loss  0.869794, Time  0.243083
2021-09-16 04:46:48.736705 : Epoch  3, Batch    381, Loss  0.872813, Average Loss  0.869904, Time  0.240190
2021-09-16 04:46:51.313708 : Epoch  3, Batch    382, Loss  0.878315, Average Loss  0.870034, Time  0.240489
2021-09-16 04:46:53.907929 : Epoch  3, Batch    383, Loss  0.842856, Average Loss  0.869910, Time  0.240062
2021-09-16 04:46:56.496019 : Epoch  3, Batch    384, Loss  0.856170, Average Loss  0.869860, Time  0.240700
2021-09-16 04:46:59.087027 : Epoch  3, Batch    385, Loss  0.865610, Average Loss  0.869757, Time  0.239997
2021-09-16 04:47:01.680848 : Epoch  3, Batch    386, Loss  0.872455, Average Loss  0.869607, Time  0.240209
2021-09-16 04:47:04.273647 : Epoch  3, Batch    387, Loss  0.869114, Average Loss  0.869666, Time  0.240469
2021-09-16 04:47:06.859054 : Epoch  3, Batch    388, Loss  0.859587, Average Loss  0.869537, Time  0.240599
2021-09-16 04:47:35.384821 : CheckPoint: Validation Loss  0.00030285, Best Loss  0.00029379
2021-09-16 04:47:38.401463 : Epoch  5, Batch    877, Loss  0.886161, Average Loss  0.870577, Time  0.267296
2021-09-16 04:47:41.402407 : Epoch  5, Batch    878, Loss  0.862788, Average Loss  0.870529, Time  0.265795
2021-09-16 04:47:44.401509 : Epoch  5, Batch    879, Loss  0.874586, Average Loss  0.870516, Time  0.266762
2021-09-16 04:47:47.392566 : Epoch  5, Batch    880, Loss  0.884644, Average Loss  0.870721, Time  0.265369
2021-09-16 04:47:50.382045 : Epoch  5, Batch    881, Loss  0.869379, Average Loss  0.870708, Time  0.264448
2021-09-16 04:47:53.440067 : Epoch  5, Batch    882, Loss  0.857098, Average Loss  0.870629, Time  0.279035
2021-09-16 04:47:56.480176 : Epoch  5, Batch    883, Loss  0.862315, Average Loss  0.870561, Time  0.267342
2021-09-16 04:47:59.512480 : Epoch  5, Batch    884, Loss  0.871924, Average Loss  0.870603, Time  0.266459
2021-09-16 04:48:02.512089 : Epoch  5, Batch    885, Loss  0.871576, Average Loss  0.870592, Time  0.265775
2021-09-16 04:48:05.508592 : Epoch  5, Batch    886, Loss  0.845247, Average Loss  0.870422, Time  0.265397
2021-09-16 04:48:08.510205 : Epoch  5, Batch    887, Loss  0.856988, Average Loss  0.870430, Time  0.265497
2021-09-16 04:48:11.510024 : Epoch  5, Batch    888, Loss  0.884210, Average Loss  0.870485, Time  0.265810
2021-09-16 04:48:14.514866 : Epoch  5, Batch    889, Loss  0.857332, Average Loss  0.870395, Time  0.266705
2021-09-16 04:48:17.548300 : Epoch  5, Batch    890, Loss  0.860951, Average Loss  0.870337, Time  0.265791
2021-09-16 04:48:20.601368 : Epoch  5, Batch    891, Loss  0.874628, Average Loss  0.870448, Time  0.269042
2021-09-16 04:48:23.632653 : Epoch  5, Batch    892, Loss  0.882418, Average Loss  0.870482, Time  0.266332
2021-09-16 04:48:26.671807 : Epoch  5, Batch    893, Loss  0.845277, Average Loss  0.870349, Time  0.265876
2021-09-16 04:48:29.675073 : Epoch  5, Batch    894, Loss  0.853905, Average Loss  0.870274, Time  0.265299
2021-09-16 04:48:32.687149 : Epoch  5, Batch    895, Loss  0.887194, Average Loss  0.870307, Time  0.266042
2021-09-16 04:48:35.692455 : Epoch  5, Batch    896, Loss  0.869957, Average Loss  0.870370, Time  0.265299
2021-09-16 04:48:38.746838 : Epoch  5, Batch    897, Loss  0.869894, Average Loss  0.870461, Time  0.278135
2021-09-16 04:48:41.768343 : Epoch  5, Batch    898, Loss  0.861418, Average Loss  0.870421, Time  0.266327
2021-09-16 04:48:44.794857 : Epoch  5, Batch    899, Loss  0.857611, Average Loss  0.870217, Time  0.265880
2021-09-16 04:48:47.832841 : Epoch  5, Batch    900, Loss  0.888209, Average Loss  0.870347, Time  0.266138
2021-09-16 04:48:50.823787 : Epoch  5, Batch    901, Loss  0.857978, Average Loss  0.870289, Time  0.265968
2021-09-16 04:48:53.820425 : Epoch  5, Batch    902, Loss  0.872656, Average Loss  0.870258, Time  0.265488
2021-09-16 04:48:56.861344 : Epoch  5, Batch    903, Loss  0.866069, Average Loss  0.870276, Time  0.266445
2021-09-16 04:48:59.888497 : Epoch  5, Batch    904, Loss  0.861938, Average Loss  0.870241, Time  0.267189
2021-09-16 04:49:02.927599 : Epoch  5, Batch    905, Loss  0.845665, Average Loss  0.870105, Time  0.265630
2021-09-16 04:49:05.949466 : Epoch  5, Batch    906, Loss  0.877770, Average Loss  0.870261, Time  0.267824
2021-09-16 04:49:08.943945 : Epoch  5, Batch    907, Loss  0.877153, Average Loss  0.870216, Time  0.265863
2021-09-16 04:49:11.970146 : Epoch  5, Batch    908, Loss  0.877003, Average Loss  0.870164, Time  0.265731
2021-09-16 04:49:14.966058 : Epoch  5, Batch    909, Loss  0.853948, Average Loss  0.870067, Time  0.266155
2021-09-16 04:49:17.970927 : Epoch  5, Batch    910, Loss  0.886153, Average Loss  0.870213, Time  0.266177
2021-09-16 04:49:20.998900 : Epoch  5, Batch    911, Loss  0.879702, Average Loss  0.870298, Time  0.266574
2021-09-16 04:49:24.032503 : Epoch  5, Batch    912, Loss  0.862223, Average Loss  0.870375, Time  0.277368
2021-09-16 04:49:27.048051 : Epoch  5, Batch    913, Loss  0.868236, Average Loss  0.870316, Time  0.266062
2021-09-16 04:49:30.045899 : Epoch  5, Batch    914, Loss  0.843637, Average Loss  0.870245, Time  0.265719
2021-09-16 04:49:33.068800 : Epoch  5, Batch    915, Loss  0.867956, Average Loss  0.870191, Time  0.265899
2021-09-16 04:49:36.061645 : Epoch  5, Batch    916, Loss  0.884761, Average Loss  0.870312, Time  0.265423
2021-09-16 04:49:39.061087 : Epoch  5, Batch    917, Loss  0.858206, Average Loss  0.870234, Time  0.266275
2021-09-16 04:49:42.051579 : Epoch  5, Batch    918, Loss  0.849868, Average Loss  0.870081, Time  0.266654
2021-09-16 04:49:45.054574 : Epoch  5, Batch    919, Loss  0.872227, Average Loss  0.870081, Time  0.265097
2021-09-16 04:49:48.052532 : Epoch  5, Batch    920, Loss  0.876251, Average Loss  0.870068, Time  0.266210
2021-09-16 04:49:51.044436 : Epoch  5, Batch    921, Loss  0.872701, Average Loss  0.870156, Time  0.265026
2021-09-16 04:49:54.034476 : Epoch  5, Batch    922, Loss  0.869808, Average Loss  0.870222, Time  0.266150
2021-09-16 04:49:57.061828 : Epoch  5, Batch    923, Loss  0.871810, Average Loss  0.870283, Time  0.265733
2021-09-16 04:50:00.047404 : Epoch  5, Batch    924, Loss  0.869640, Average Loss  0.870240, Time  0.265975
2021-09-16 04:50:03.044011 : Epoch  5, Batch    925, Loss  0.876322, Average Loss  0.870301, Time  0.266919
2021-09-16 04:50:06.040511 : Epoch  5, Batch    926, Loss  0.864993, Average Loss  0.870253, Time  0.265273
2021-09-16 04:50:09.042794 : Epoch  5, Batch    927, Loss  0.867941, Average Loss  0.870267, Time  0.276524
2021-09-16 04:50:12.035568 : Epoch  5, Batch    928, Loss  0.844363, Average Loss  0.870041, Time  0.266320
2021-09-16 04:50:15.049495 : Epoch  5, Batch    929, Loss  0.855313, Average Loss  0.870003, Time  0.265188
2021-09-16 04:50:18.045504 : Epoch  5, Batch    930, Loss  0.877055, Average Loss  0.870079, Time  0.265229
2021-09-16 04:50:21.036962 : Epoch  5, Batch    931, Loss  0.855852, Average Loss  0.870087, Time  0.265955
2021-09-16 04:50:24.029074 : Epoch  5, Batch    932, Loss  0.867505, Average Loss  0.870054, Time  0.265020
2021-09-16 04:50:27.033624 : Epoch  5, Batch    933, Loss  0.849028, Average Loss  0.870004, Time  0.265625
2021-09-16 04:50:30.071083 : Epoch  5, Batch    934, Loss  0.862846, Average Loss  0.869927, Time  0.265832
2021-09-16 04:50:33.097752 : Epoch  5, Batch    935, Loss  0.860901, Average Loss  0.869840, Time  0.265516
2021-09-16 04:50:36.093367 : Epoch  5, Batch    936, Loss  0.872189, Average Loss  0.869887, Time  0.264973
2021-09-16 04:50:39.117969 : Epoch  5, Batch    937, Loss  0.871287, Average Loss  0.869803, Time  0.264946
2021-09-16 04:50:42.112299 : Epoch  5, Batch    938, Loss  0.857331, Average Loss  0.869651, Time  0.264834
2021-09-16 04:50:45.131726 : Epoch  5, Batch    939, Loss  0.879475, Average Loss  0.869785, Time  0.266125
2021-09-16 04:50:48.121541 : Epoch  5, Batch    940, Loss  0.869355, Average Loss  0.869803, Time  0.265406
2021-09-16 04:50:51.149228 : Epoch  5, Batch    941, Loss  0.895470, Average Loss  0.869945, Time  0.265666
2021-09-16 04:50:54.163545 : Epoch  5, Batch    942, Loss  0.874618, Average Loss  0.870009, Time  0.275857
2021-09-16 04:50:57.195629 : Epoch  5, Batch    943, Loss  0.865657, Average Loss  0.870024, Time  0.266903
2021-09-16 04:51:00.229969 : Epoch  5, Batch    944, Loss  0.853368, Average Loss  0.869876, Time  0.266521
2021-09-16 04:51:03.233450 : Epoch  5, Batch    945, Loss  0.873020, Average Loss  0.869751, Time  0.266890
2021-09-16 04:51:06.233407 : Epoch  5, Batch    946, Loss  0.859505, Average Loss  0.869737, Time  0.264844
2021-09-16 04:51:08.550748 : CheckPoint: Validation Loss  0.00030628, Best Loss  0.00029477
2021-09-16 04:51:09.256077 : Epoch  5, Batch    947, Loss  0.864882, Average Loss  0.869668, Time  0.267106
2021-09-16 04:51:11.130856 : Epoch  3, Batch    389, Loss  0.861211, Average Loss  0.869441, Time  0.241056
2021-09-16 04:51:12.284893 : Epoch  5, Batch    948, Loss  0.857758, Average Loss  0.869654, Time  0.265137
2021-09-16 04:51:13.718002 : Epoch  3, Batch    390, Loss  0.880969, Average Loss  0.869580, Time  0.240973
2021-09-16 04:51:15.288086 : Epoch  5, Batch    949, Loss  0.872395, Average Loss  0.869647, Time  0.266284
2021-09-16 04:51:16.300439 : Epoch  3, Batch    391, Loss  0.867938, Average Loss  0.869534, Time  0.240754
2021-09-16 04:51:18.281443 : Epoch  5, Batch    950, Loss  0.868800, Average Loss  0.869625, Time  0.266578
2021-09-16 04:51:18.887155 : Epoch  3, Batch    392, Loss  0.869151, Average Loss  0.869440, Time  0.241624
2021-09-16 04:51:21.286130 : Epoch  5, Batch    951, Loss  0.882008, Average Loss  0.869778, Time  0.265244
2021-09-16 04:51:21.475004 : Epoch  3, Batch    393, Loss  0.884627, Average Loss  0.869485, Time  0.240504
2021-09-16 04:51:24.046004 : Epoch  3, Batch    394, Loss  0.863476, Average Loss  0.869413, Time  0.240189
2021-09-16 04:51:24.277440 : Epoch  5, Batch    952, Loss  0.895053, Average Loss  0.869915, Time  0.265609
2021-09-16 04:51:26.633984 : Epoch  3, Batch    395, Loss  0.868414, Average Loss  0.869411, Time  0.244578
2021-09-16 04:51:27.250012 : Epoch  5, Batch    953, Loss  0.871376, Average Loss  0.869920, Time  0.265162
2021-09-16 04:51:29.216202 : Epoch  3, Batch    396, Loss  0.859340, Average Loss  0.869288, Time  0.240738
2021-09-16 04:51:30.263074 : Epoch  5, Batch    954, Loss  0.874184, Average Loss  0.869896, Time  0.265328
2021-09-16 04:51:31.800446 : Epoch  3, Batch    397, Loss  0.848868, Average Loss  0.869226, Time  0.239993
2021-09-16 04:51:33.278107 : Epoch  5, Batch    955, Loss  0.882297, Average Loss  0.869895, Time  0.265702
2021-09-16 04:51:34.373159 : Epoch  3, Batch    398, Loss  0.888201, Average Loss  0.869385, Time  0.240515
2021-09-16 04:51:36.301866 : Epoch  5, Batch    956, Loss  0.870827, Average Loss  0.870003, Time  0.266351
2021-09-16 04:51:36.951194 : Epoch  3, Batch    399, Loss  0.866586, Average Loss  0.869456, Time  0.240193
2021-09-16 04:51:39.328701 : Epoch  5, Batch    957, Loss  0.861837, Average Loss  0.870040, Time  0.272882
2021-09-16 04:51:39.532142 : Epoch  3, Batch    400, Loss  0.880503, Average Loss  0.869583, Time  0.239639
2021-09-16 04:51:42.099030 : Epoch  3, Batch    401, Loss  0.870975, Average Loss  0.869578, Time  0.239923
2021-09-16 04:51:42.346681 : Epoch  5, Batch    958, Loss  0.876392, Average Loss  0.870074, Time  0.266092
2021-09-16 04:51:44.698613 : Epoch  3, Batch    402, Loss  0.885590, Average Loss  0.869608, Time  0.239927
2021-09-16 04:51:45.362982 : Epoch  5, Batch    959, Loss  0.864906, Average Loss  0.869984, Time  0.265877
2021-09-16 04:51:47.277447 : Epoch  3, Batch    403, Loss  0.868061, Average Loss  0.869546, Time  0.240043
2021-09-16 04:51:48.392622 : Epoch  5, Batch    960, Loss  0.837290, Average Loss  0.869857, Time  0.266351
2021-09-16 04:51:49.867437 : Epoch  3, Batch    404, Loss  0.881367, Average Loss  0.869613, Time  0.240741
2021-09-16 04:51:51.423429 : Epoch  5, Batch    961, Loss  0.872495, Average Loss  0.869929, Time  0.265648
2021-09-16 04:51:52.451218 : Epoch  3, Batch    405, Loss  0.887663, Average Loss  0.869573, Time  0.240279
2021-09-16 04:51:54.414380 : Epoch  5, Batch    962, Loss  0.868791, Average Loss  0.869923, Time  0.265022
2021-09-16 04:51:55.029068 : Epoch  3, Batch    406, Loss  0.881474, Average Loss  0.869665, Time  0.239948
2021-09-16 04:51:57.401577 : Epoch  5, Batch    963, Loss  0.886742, Average Loss  0.870039, Time  0.265276
2021-09-16 04:51:57.611788 : Epoch  3, Batch    407, Loss  0.866975, Average Loss  0.869751, Time  0.242947
2021-09-16 04:52:00.170455 : Epoch  3, Batch    408, Loss  0.867116, Average Loss  0.869740, Time  0.240579
2021-09-16 04:52:00.377345 : Epoch  5, Batch    964, Loss  0.864962, Average Loss  0.870066, Time  0.263973
2021-09-16 04:52:02.762936 : Epoch  3, Batch    409, Loss  0.876036, Average Loss  0.869758, Time  0.240510
2021-09-16 04:52:03.344104 : Epoch  5, Batch    965, Loss  0.862225, Average Loss  0.869944, Time  0.266368
2021-09-16 04:52:05.338531 : Epoch  3, Batch    410, Loss  0.853536, Average Loss  0.869614, Time  0.240841
2021-09-16 04:52:06.357355 : Epoch  5, Batch    966, Loss  0.857272, Average Loss  0.869877, Time  0.266272
2021-09-16 04:52:07.916106 : Epoch  3, Batch    411, Loss  0.878853, Average Loss  0.869681, Time  0.242079
2021-09-16 04:52:09.360652 : Epoch  5, Batch    967, Loss  0.832655, Average Loss  0.869719, Time  0.266254
2021-09-16 04:52:10.500928 : Epoch  3, Batch    412, Loss  0.867280, Average Loss  0.869667, Time  0.240964
2021-09-16 04:52:12.406541 : Epoch  5, Batch    968, Loss  0.876556, Average Loss  0.869768, Time  0.267869
2021-09-16 04:52:13.091491 : Epoch  3, Batch    413, Loss  0.874995, Average Loss  0.869771, Time  0.241504
2021-09-16 04:52:15.415755 : Epoch  5, Batch    969, Loss  0.866559, Average Loss  0.869802, Time  0.265665
2021-09-16 04:52:15.695500 : Epoch  3, Batch    414, Loss  0.876795, Average Loss  0.869891, Time  0.252572
2021-09-16 04:52:18.259378 : Epoch  3, Batch    415, Loss  0.868899, Average Loss  0.869905, Time  0.241232
2021-09-16 04:52:18.417947 : Epoch  5, Batch    970, Loss  0.867487, Average Loss  0.869802, Time  0.265600
2021-09-16 04:52:20.841937 : Epoch  3, Batch    416, Loss  0.859814, Average Loss  0.869834, Time  0.240440
2021-09-16 04:52:21.391247 : Epoch  5, Batch    971, Loss  0.873834, Average Loss  0.869805, Time  0.265297
2021-09-16 04:52:23.423731 : Epoch  3, Batch    417, Loss  0.888929, Average Loss  0.869938, Time  0.240744
2021-09-16 04:52:24.389678 : Epoch  5, Batch    972, Loss  0.879148, Average Loss  0.869875, Time  0.274980
2021-09-16 04:52:26.005039 : Epoch  3, Batch    418, Loss  0.887518, Average Loss  0.870169, Time  0.240339
2021-09-16 04:52:27.377076 : Epoch  5, Batch    973, Loss  0.869046, Average Loss  0.869811, Time  0.265747
2021-09-16 04:52:28.589298 : Epoch  3, Batch    419, Loss  0.868154, Average Loss  0.870189, Time  0.239996
2021-09-16 04:52:30.343618 : Epoch  5, Batch    974, Loss  0.886980, Average Loss  0.869954, Time  0.266670
2021-09-16 04:52:31.175071 : Epoch  3, Batch    420, Loss  0.890109, Average Loss  0.870206, Time  0.240722
2021-09-16 04:52:33.334481 : Epoch  5, Batch    975, Loss  0.862796, Average Loss  0.869988, Time  0.265017
2021-09-16 04:52:33.763064 : Epoch  3, Batch    421, Loss  0.859592, Average Loss  0.870038, Time  0.240330
2021-09-16 04:52:36.326904 : Epoch  5, Batch    976, Loss  0.857653, Average Loss  0.869919, Time  0.265076
2021-09-16 04:52:36.343146 : Epoch  3, Batch    422, Loss  0.852180, Average Loss  0.869964, Time  0.241052
2021-09-16 04:52:38.933387 : Epoch  3, Batch    423, Loss  0.892181, Average Loss  0.870035, Time  0.240192
2021-09-16 04:52:41.514404 : Epoch  3, Batch    424, Loss  0.869315, Average Loss  0.870061, Time  0.239881
2021-09-16 04:52:44.100403 : Epoch  3, Batch    425, Loss  0.868602, Average Loss  0.870095, Time  0.242555
2021-09-16 04:52:46.683399 : Epoch  3, Batch    426, Loss  0.861097, Average Loss  0.869998, Time  0.242115
2021-09-16 04:52:49.274440 : Epoch  3, Batch    427, Loss  0.882958, Average Loss  0.870084, Time  0.239900
2021-09-16 04:52:51.852455 : Epoch  3, Batch    428, Loss  0.869761, Average Loss  0.870115, Time  0.241678
2021-09-16 04:52:54.429230 : Epoch  3, Batch    429, Loss  0.885812, Average Loss  0.870234, Time  0.240234
2021-09-16 04:52:57.014871 : Epoch  3, Batch    430, Loss  0.874260, Average Loss  0.870264, Time  0.239881
2021-09-16 04:52:59.591642 : Epoch  3, Batch    431, Loss  0.877801, Average Loss  0.870426, Time  0.240455
2021-09-16 04:53:02.175332 : Epoch  3, Batch    432, Loss  0.888327, Average Loss  0.870436, Time  0.241861
2021-09-16 04:53:04.761360 : Epoch  3, Batch    433, Loss  0.863609, Average Loss  0.870393, Time  0.240317
2021-09-16 04:53:07.353087 : Epoch  3, Batch    434, Loss  0.872737, Average Loss  0.870368, Time  0.241039
2021-09-16 04:53:09.933202 : Epoch  3, Batch    435, Loss  0.882173, Average Loss  0.870365, Time  0.240801
2021-09-16 04:53:12.523643 : Epoch  3, Batch    436, Loss  0.859160, Average Loss  0.870309, Time  0.241163
2021-09-16 04:53:15.117931 : Epoch  3, Batch    437, Loss  0.864478, Average Loss  0.870264, Time  0.241671
2021-09-16 04:53:17.702877 : Epoch  3, Batch    438, Loss  0.897182, Average Loss  0.870328, Time  0.241230
2021-09-16 04:53:20.286986 : Epoch  3, Batch    439, Loss  0.865878, Average Loss  0.870335, Time  0.241106
2021-09-16 04:53:22.877933 : Epoch  3, Batch    440, Loss  0.862933, Average Loss  0.870279, Time  0.240896
2021-09-16 04:53:25.463915 : Epoch  3, Batch    441, Loss  0.841528, Average Loss  0.870153, Time  0.240192
2021-09-16 04:53:28.061245 : Epoch  3, Batch    442, Loss  0.863732, Average Loss  0.870233, Time  0.242359
2021-09-16 04:53:30.647974 : Epoch  3, Batch    443, Loss  0.860215, Average Loss  0.870181, Time  0.240052
2021-09-16 04:53:33.233080 : Epoch  3, Batch    444, Loss  0.857028, Average Loss  0.870107, Time  0.240263
2021-09-16 04:53:35.816435 : Epoch  3, Batch    445, Loss  0.863903, Average Loss  0.869998, Time  0.241360
2021-09-16 04:53:38.398847 : Epoch  3, Batch    446, Loss  0.877887, Average Loss  0.870045, Time  0.240326
2021-09-16 04:53:40.992826 : Epoch  3, Batch    447, Loss  0.876609, Average Loss  0.870101, Time  0.241668
2021-09-16 04:53:43.584611 : Epoch  3, Batch    448, Loss  0.867712, Average Loss  0.870125, Time  0.240817
2021-09-16 04:53:46.170325 : Epoch  3, Batch    449, Loss  0.872550, Average Loss  0.870127, Time  0.240048
2021-09-16 04:53:48.748673 : Epoch  3, Batch    450, Loss  0.866312, Average Loss  0.870213, Time  0.240318
2021-09-16 04:53:51.338012 : Epoch  3, Batch    451, Loss  0.901886, Average Loss  0.870408, Time  0.240046
2021-09-16 04:53:53.926171 : Epoch  3, Batch    452, Loss  0.868371, Average Loss  0.870429, Time  0.240331
2021-09-16 04:53:56.513770 : Epoch  3, Batch    453, Loss  0.880237, Average Loss  0.870525, Time  0.240714
2021-09-16 04:53:59.100909 : Epoch  3, Batch    454, Loss  0.877280, Average Loss  0.870601, Time  0.240392
2021-09-16 04:54:01.690836 : Epoch  3, Batch    455, Loss  0.881564, Average Loss  0.870577, Time  0.241473
2021-09-16 04:54:04.280918 : Epoch  3, Batch    456, Loss  0.870272, Average Loss  0.870548, Time  0.240317
2021-09-16 04:54:06.868966 : Epoch  3, Batch    457, Loss  0.876526, Average Loss  0.870558, Time  0.240876
2021-09-16 04:54:09.454469 : Epoch  3, Batch    458, Loss  0.856428, Average Loss  0.870421, Time  0.241192
2021-09-16 04:54:12.043300 : Epoch  3, Batch    459, Loss  0.862511, Average Loss  0.870346, Time  0.240159
2021-09-16 04:54:14.634077 : Epoch  3, Batch    460, Loss  0.864567, Average Loss  0.870354, Time  0.241341
2021-09-16 04:54:17.227572 : Epoch  3, Batch    461, Loss  0.868344, Average Loss  0.870278, Time  0.240694
2021-09-16 04:54:19.817497 : Epoch  3, Batch    462, Loss  0.877492, Average Loss  0.870275, Time  0.240402
2021-09-16 04:54:22.400280 : Epoch  3, Batch    463, Loss  0.877829, Average Loss  0.870302, Time  0.240802
2021-09-16 04:54:24.985835 : Epoch  3, Batch    464, Loss  0.873074, Average Loss  0.870362, Time  0.242324
2021-09-16 04:54:27.574856 : Epoch  3, Batch    465, Loss  0.882949, Average Loss  0.870408, Time  0.240312
2021-09-16 04:54:30.166197 : Epoch  3, Batch    466, Loss  0.898265, Average Loss  0.870553, Time  0.240711
2021-09-16 04:54:32.751126 : Epoch  3, Batch    467, Loss  0.877973, Average Loss  0.870579, Time  0.240165
2021-09-16 04:54:35.343037 : Epoch  3, Batch    468, Loss  0.877465, Average Loss  0.870563, Time  0.240110
2021-09-16 04:54:37.932903 : Epoch  3, Batch    469, Loss  0.879429, Average Loss  0.870643, Time  0.240282
2021-09-16 04:54:40.511925 : Epoch  3, Batch    470, Loss  0.875387, Average Loss  0.870697, Time  0.239869
2021-09-16 04:54:43.101408 : Epoch  3, Batch    471, Loss  0.874346, Average Loss  0.870665, Time  0.239682
2021-09-16 04:54:45.683843 : Epoch  3, Batch    472, Loss  0.855524, Average Loss  0.870492, Time  0.241531
2021-09-16 04:54:48.268440 : Epoch  3, Batch    473, Loss  0.883834, Average Loss  0.870533, Time  0.239970
2021-09-16 04:54:50.850148 : Epoch  3, Batch    474, Loss  0.886958, Average Loss  0.870638, Time  0.240022
2021-09-16 04:54:53.430853 : Epoch  3, Batch    475, Loss  0.863873, Average Loss  0.870633, Time  0.239987
2021-09-16 04:54:56.012840 : Epoch  3, Batch    476, Loss  0.871410, Average Loss  0.870745, Time  0.240130
2021-09-16 04:54:58.596142 : Epoch  3, Batch    477, Loss  0.882459, Average Loss  0.870825, Time  0.240206
2021-09-16 04:55:01.185483 : Epoch  3, Batch    478, Loss  0.852644, Average Loss  0.870772, Time  0.240023
2021-09-16 04:55:03.771820 : Epoch  3, Batch    479, Loss  0.867159, Average Loss  0.870661, Time  0.240219
2021-09-16 04:55:06.365510 : Epoch  3, Batch    480, Loss  0.876798, Average Loss  0.870722, Time  0.239924
2021-09-16 04:55:08.949500 : Epoch  3, Batch    481, Loss  0.857034, Average Loss  0.870740, Time  0.241119
2021-09-16 04:55:11.524467 : Epoch  3, Batch    482, Loss  0.884501, Average Loss  0.870908, Time  0.240420
2021-09-16 04:55:14.109355 : Epoch  3, Batch    483, Loss  0.857379, Average Loss  0.870909, Time  0.240595
2021-09-16 04:55:16.697379 : Epoch  3, Batch    484, Loss  0.871944, Average Loss  0.870829, Time  0.241513
2021-09-16 04:55:19.273968 : Epoch  3, Batch    485, Loss  0.883196, Average Loss  0.870852, Time  0.240548
2021-09-16 04:55:21.858856 : Epoch  3, Batch    486, Loss  0.871023, Average Loss  0.870923, Time  0.243048
2021-09-16 04:55:24.440823 : Epoch  3, Batch    487, Loss  0.861900, Average Loss  0.870879, Time  0.239960
2021-09-16 04:55:27.029896 : Epoch  3, Batch    488, Loss  0.873145, Average Loss  0.870947, Time  0.240602
2021-09-16 04:57:16.501250 : CheckPoint: Validation Loss  0.00030214, Best Loss  0.00029379
2021-09-16 04:57:19.560494 : Epoch  5, Batch    977, Loss  0.871319, Average Loss  0.870056, Time  0.267697
2021-09-16 04:57:22.571598 : Epoch  5, Batch    978, Loss  0.856366, Average Loss  0.869926, Time  0.266278
2021-09-16 04:57:25.611221 : Epoch  5, Batch    979, Loss  0.876400, Average Loss  0.869953, Time  0.265210
2021-09-16 04:57:28.616023 : Epoch  5, Batch    980, Loss  0.871099, Average Loss  0.870015, Time  0.265599
2021-09-16 04:57:31.637176 : Epoch  5, Batch    981, Loss  0.869134, Average Loss  0.869994, Time  0.266450
2021-09-16 04:57:34.640620 : Epoch  5, Batch    982, Loss  0.866800, Average Loss  0.870001, Time  0.265348
2021-09-16 04:57:37.636551 : Epoch  5, Batch    983, Loss  0.879783, Average Loss  0.870044, Time  0.265211
2021-09-16 04:57:40.643389 : Epoch  5, Batch    984, Loss  0.879697, Average Loss  0.870077, Time  0.267978
2021-09-16 04:57:43.664565 : Epoch  5, Batch    985, Loss  0.872837, Average Loss  0.870065, Time  0.267817
2021-09-16 04:57:46.724857 : Epoch  5, Batch    986, Loss  0.872241, Average Loss  0.870014, Time  0.278778
2021-09-16 04:57:49.751624 : Epoch  5, Batch    987, Loss  0.852842, Average Loss  0.869925, Time  0.267605
2021-09-16 04:57:52.769572 : Epoch  5, Batch    988, Loss  0.862339, Average Loss  0.869946, Time  0.265723
2021-09-16 04:57:55.783177 : Epoch  5, Batch    989, Loss  0.840213, Average Loss  0.869686, Time  0.265452
2021-09-16 04:57:58.775975 : Epoch  5, Batch    990, Loss  0.895214, Average Loss  0.869790, Time  0.267184
2021-09-16 04:58:01.768126 : Epoch  5, Batch    991, Loss  0.884746, Average Loss  0.869892, Time  0.265689
2021-09-16 04:58:04.792685 : Epoch  5, Batch    992, Loss  0.867490, Average Loss  0.869976, Time  0.264564
2021-09-16 04:58:07.781881 : Epoch  5, Batch    993, Loss  0.876538, Average Loss  0.869945, Time  0.265619
2021-09-16 04:58:10.783619 : Epoch  5, Batch    994, Loss  0.865217, Average Loss  0.869873, Time  0.266429
2021-09-16 04:58:13.779884 : Epoch  5, Batch    995, Loss  0.876758, Average Loss  0.869823, Time  0.265123
2021-09-16 04:58:16.775446 : Epoch  5, Batch    996, Loss  0.869581, Average Loss  0.869798, Time  0.265385
2021-09-16 04:58:19.777783 : Epoch  5, Batch    997, Loss  0.871666, Average Loss  0.869768, Time  0.265937
2021-09-16 04:58:22.772802 : Epoch  5, Batch    998, Loss  0.877242, Average Loss  0.869876, Time  0.265450
2021-09-16 04:58:25.780392 : Epoch  5, Batch    999, Loss  0.875092, Average Loss  0.869867, Time  0.264847
2021-09-16 04:58:28.771471 : Epoch  5, Batch   1000, Loss  0.880856, Average Loss  0.870030, Time  0.265604
2021-09-16 04:58:31.807158 : Epoch  5, Batch   1001, Loss  0.881974, Average Loss  0.870074, Time  0.279699
2021-09-16 04:58:34.823015 : Epoch  5, Batch   1002, Loss  0.853822, Average Loss  0.870025, Time  0.265843
2021-09-16 04:58:37.851235 : Epoch  5, Batch   1003, Loss  0.865846, Average Loss  0.870075, Time  0.265663
2021-09-16 04:58:40.857677 : Epoch  5, Batch   1004, Loss  0.858288, Average Loss  0.870065, Time  0.266715
2021-09-16 04:58:43.859836 : Epoch  5, Batch   1005, Loss  0.871551, Average Loss  0.870008, Time  0.266253
2021-09-16 04:58:46.884321 : Epoch  5, Batch   1006, Loss  0.900066, Average Loss  0.870068, Time  0.266432
2021-09-16 04:58:49.882517 : Epoch  5, Batch   1007, Loss  0.875651, Average Loss  0.870071, Time  0.265396
2021-09-16 04:58:52.896023 : Epoch  5, Batch   1008, Loss  0.847272, Average Loss  0.869942, Time  0.266711
2021-09-16 04:58:55.946672 : Epoch  5, Batch   1009, Loss  0.881482, Average Loss  0.869985, Time  0.267312
2021-09-16 04:58:58.970813 : Epoch  5, Batch   1010, Loss  0.875863, Average Loss  0.870091, Time  0.265743
2021-09-16 04:59:02.005846 : Epoch  5, Batch   1011, Loss  0.868181, Average Loss  0.870090, Time  0.266716
2021-09-16 04:59:05.053705 : Epoch  5, Batch   1012, Loss  0.853959, Average Loss  0.869890, Time  0.265715
2021-09-16 04:59:08.092843 : Epoch  5, Batch   1013, Loss  0.884248, Average Loss  0.869990, Time  0.266665
2021-09-16 04:59:11.123558 : Epoch  5, Batch   1014, Loss  0.865122, Average Loss  0.869821, Time  0.265239
2021-09-16 04:59:14.121739 : Epoch  5, Batch   1015, Loss  0.880173, Average Loss  0.869951, Time  0.265770
2021-09-16 04:59:17.135647 : Epoch  5, Batch   1016, Loss  0.872616, Average Loss  0.869926, Time  0.277068
2021-09-16 04:59:20.136063 : Epoch  5, Batch   1017, Loss  0.872007, Average Loss  0.869898, Time  0.266370
2021-09-16 04:59:23.141376 : Epoch  5, Batch   1018, Loss  0.847920, Average Loss  0.869800, Time  0.265946
2021-09-16 04:59:26.173441 : Epoch  5, Batch   1019, Loss  0.867418, Average Loss  0.869768, Time  0.266250
2021-09-16 04:59:29.184908 : Epoch  5, Batch   1020, Loss  0.868909, Average Loss  0.869753, Time  0.265122
2021-09-16 04:59:29.332970 : CheckPoint: Validation Loss  0.00029226, Best Loss  0.00029226
2021-09-16 04:59:29.362637 : Best Model Updated
2021-09-16 04:59:32.187064 : Epoch  5, Batch   1021, Loss  0.869445, Average Loss  0.869788, Time  0.265420
2021-09-16 04:59:32.721863 : Epoch  3, Batch    489, Loss  0.866326, Average Loss  0.870973, Time  0.241835
2021-09-16 04:59:35.216133 : Epoch  5, Batch   1022, Loss  0.876207, Average Loss  0.869749, Time  0.265899
2021-09-16 04:59:35.318672 : Epoch  3, Batch    490, Loss  0.851110, Average Loss  0.870997, Time  0.239642
2021-09-16 04:59:37.906051 : Epoch  3, Batch    491, Loss  0.850896, Average Loss  0.870842, Time  0.240859
2021-09-16 04:59:38.230573 : Epoch  5, Batch   1023, Loss  0.880750, Average Loss  0.869827, Time  0.265487
2021-09-16 04:59:40.501360 : Epoch  3, Batch    492, Loss  0.870553, Average Loss  0.870823, Time  0.240671
2021-09-16 04:59:41.222746 : Epoch  5, Batch   1024, Loss  0.857487, Average Loss  0.869738, Time  0.267235
2021-09-16 04:59:43.105364 : Epoch  3, Batch    493, Loss  0.896628, Average Loss  0.871085, Time  0.241510
2021-09-16 04:59:44.239038 : Epoch  5, Batch   1025, Loss  0.863283, Average Loss  0.869743, Time  0.265900
2021-09-16 04:59:45.695340 : Epoch  3, Batch    494, Loss  0.888379, Average Loss  0.871163, Time  0.241423
2021-09-16 04:59:47.262118 : Epoch  5, Batch   1026, Loss  0.885292, Average Loss  0.869853, Time  0.266756
2021-09-16 04:59:48.282010 : Epoch  3, Batch    495, Loss  0.882050, Average Loss  0.871267, Time  0.241320
2021-09-16 04:59:50.274172 : Epoch  5, Batch   1027, Loss  0.862313, Average Loss  0.869744, Time  0.266177
2021-09-16 04:59:50.879363 : Epoch  3, Batch    496, Loss  0.866188, Average Loss  0.871154, Time  0.239982
2021-09-16 04:59:53.305229 : Epoch  5, Batch   1028, Loss  0.885463, Average Loss  0.869807, Time  0.267309
2021-09-16 04:59:53.478341 : Epoch  3, Batch    497, Loss  0.860271, Average Loss  0.871088, Time  0.241480
2021-09-16 04:59:56.058816 : Epoch  3, Batch    498, Loss  0.903323, Average Loss  0.871254, Time  0.240835
2021-09-16 04:59:56.331428 : Epoch  5, Batch   1029, Loss  0.876070, Average Loss  0.869825, Time  0.266273
2021-09-16 04:59:58.665680 : Epoch  3, Batch    499, Loss  0.860043, Average Loss  0.871255, Time  0.240863
2021-09-16 04:59:59.349310 : Epoch  5, Batch   1030, Loss  0.872365, Average Loss  0.869879, Time  0.265453
2021-09-16 05:00:01.263493 : Epoch  3, Batch    500, Loss  0.854749, Average Loss  0.871322, Time  0.241347
2021-09-16 05:00:02.358045 : Epoch  5, Batch   1031, Loss  0.887918, Average Loss  0.869922, Time  0.271322
2021-09-16 05:00:03.864135 : Epoch  3, Batch    501, Loss  0.856274, Average Loss  0.871247, Time  0.240323
2021-09-16 05:00:05.362924 : Epoch  5, Batch   1032, Loss  0.863330, Average Loss  0.869828, Time  0.265713
2021-09-16 05:00:06.462371 : Epoch  3, Batch    502, Loss  0.852066, Average Loss  0.871226, Time  0.241021
2021-09-16 05:00:08.360027 : Epoch  5, Batch   1033, Loss  0.863546, Average Loss  0.869910, Time  0.265932
2021-09-16 05:00:09.044249 : Epoch  3, Batch    503, Loss  0.877648, Average Loss  0.871222, Time  0.240726
2021-09-16 05:00:11.386087 : Epoch  5, Batch   1034, Loss  0.871002, Average Loss  0.869942, Time  0.266332
2021-09-16 05:00:11.636433 : Epoch  3, Batch    504, Loss  0.886860, Average Loss  0.871390, Time  0.239977
2021-09-16 05:00:14.222402 : Epoch  3, Batch    505, Loss  0.862602, Average Loss  0.871315, Time  0.240927
2021-09-16 05:00:14.407034 : Epoch  5, Batch   1035, Loss  0.880698, Average Loss  0.869951, Time  0.264475
2021-09-16 05:00:16.812435 : Epoch  3, Batch    506, Loss  0.868987, Average Loss  0.871333, Time  0.239786
2021-09-16 05:00:17.390023 : Epoch  5, Batch   1036, Loss  0.877809, Average Loss  0.870050, Time  0.264863
2021-09-16 05:00:19.397147 : Epoch  3, Batch    507, Loss  0.869784, Average Loss  0.871289, Time  0.240026
2021-09-16 05:00:20.390515 : Epoch  5, Batch   1037, Loss  0.887618, Average Loss  0.870111, Time  0.266395
2021-09-16 05:00:21.986974 : Epoch  3, Batch    508, Loss  0.895134, Average Loss  0.871298, Time  0.240514
2021-09-16 05:00:23.395989 : Epoch  5, Batch   1038, Loss  0.891933, Average Loss  0.870151, Time  0.265232
2021-09-16 05:00:24.584579 : Epoch  3, Batch    509, Loss  0.878502, Average Loss  0.871317, Time  0.239924
2021-09-16 05:00:26.391107 : Epoch  5, Batch   1039, Loss  0.844974, Average Loss  0.869934, Time  0.265181
2021-09-16 05:00:27.180105 : Epoch  3, Batch    510, Loss  0.857663, Average Loss  0.871255, Time  0.240673
2021-09-16 05:00:29.425510 : Epoch  5, Batch   1040, Loss  0.869071, Average Loss  0.869859, Time  0.265682
2021-09-16 05:00:29.776626 : Epoch  3, Batch    511, Loss  0.868483, Average Loss  0.871279, Time  0.239928
2021-09-16 05:00:32.352465 : Epoch  3, Batch    512, Loss  0.870760, Average Loss  0.871337, Time  0.241381
2021-09-16 05:00:32.441567 : Epoch  5, Batch   1041, Loss  0.871780, Average Loss  0.869804, Time  0.264611
2021-09-16 05:00:34.952335 : Epoch  3, Batch    513, Loss  0.867194, Average Loss  0.871333, Time  0.240119
2021-09-16 05:00:35.417285 : Epoch  5, Batch   1042, Loss  0.872212, Average Loss  0.869752, Time  0.265290
2021-09-16 05:00:37.543927 : Epoch  3, Batch    514, Loss  0.902093, Average Loss  0.871598, Time  0.240069
2021-09-16 05:00:38.406089 : Epoch  5, Batch   1043, Loss  0.879979, Average Loss  0.869823, Time  0.265969
2021-09-16 05:00:40.133849 : Epoch  3, Batch    515, Loss  0.878075, Average Loss  0.871702, Time  0.241153
2021-09-16 05:00:41.422484 : Epoch  5, Batch   1044, Loss  0.860542, Average Loss  0.869762, Time  0.266903
2021-09-16 05:00:42.719901 : Epoch  3, Batch    516, Loss  0.867595, Average Loss  0.871694, Time  0.240775
2021-09-16 05:00:44.424107 : Epoch  5, Batch   1045, Loss  0.863877, Average Loss  0.869619, Time  0.265837
2021-09-16 05:00:45.304813 : Epoch  3, Batch    517, Loss  0.863935, Average Loss  0.871679, Time  0.240778
2021-09-16 05:00:47.459168 : Epoch  5, Batch   1046, Loss  0.860633, Average Loss  0.869547, Time  0.275134
2021-09-16 05:00:47.896124 : Epoch  3, Batch    518, Loss  0.864195, Average Loss  0.871744, Time  0.241183
2021-09-16 05:00:50.482358 : Epoch  3, Batch    519, Loss  0.870076, Average Loss  0.871698, Time  0.241698
2021-09-16 05:00:50.497712 : Epoch  5, Batch   1047, Loss  0.853441, Average Loss  0.869566, Time  0.266767
2021-09-16 05:00:53.066447 : Epoch  3, Batch    520, Loss  0.879675, Average Loss  0.871702, Time  0.243929
2021-09-16 05:00:53.542236 : Epoch  5, Batch   1048, Loss  0.880797, Average Loss  0.869584, Time  0.266379
2021-09-16 05:00:55.659213 : Epoch  3, Batch    521, Loss  0.880859, Average Loss  0.871655, Time  0.240644
2021-09-16 05:00:56.551644 : Epoch  5, Batch   1049, Loss  0.873131, Average Loss  0.869612, Time  0.266729
2021-09-16 05:00:58.255241 : Epoch  3, Batch    522, Loss  0.875847, Average Loss  0.871751, Time  0.240596
2021-09-16 05:00:59.575354 : Epoch  5, Batch   1050, Loss  0.864676, Average Loss  0.869649, Time  0.264761
2021-09-16 05:01:00.848829 : Epoch  3, Batch    523, Loss  0.891906, Average Loss  0.871885, Time  0.240861
2021-09-16 05:01:02.593795 : Epoch  5, Batch   1051, Loss  0.885075, Average Loss  0.869692, Time  0.266204
2021-09-16 05:01:03.446950 : Epoch  3, Batch    524, Loss  0.866478, Average Loss  0.871821, Time  0.240954
2021-09-16 05:01:05.577477 : Epoch  5, Batch   1052, Loss  0.872314, Average Loss  0.869675, Time  0.263991
2021-09-16 05:01:06.041079 : Epoch  3, Batch    525, Loss  0.851812, Average Loss  0.871688, Time  0.240187
2021-09-16 05:01:08.544210 : Epoch  5, Batch   1053, Loss  0.882401, Average Loss  0.869811, Time  0.264393
2021-09-16 05:01:08.632242 : Epoch  3, Batch    526, Loss  0.862777, Average Loss  0.871694, Time  0.240879
2021-09-16 05:01:11.219423 : Epoch  3, Batch    527, Loss  0.863167, Average Loss  0.871695, Time  0.239646
2021-09-16 05:01:11.536528 : Epoch  5, Batch   1054, Loss  0.860188, Average Loss  0.869723, Time  0.265125
2021-09-16 05:01:13.811252 : Epoch  3, Batch    528, Loss  0.864359, Average Loss  0.871734, Time  0.240996
2021-09-16 05:01:14.548119 : Epoch  5, Batch   1055, Loss  0.894604, Average Loss  0.869797, Time  0.265880
2021-09-16 05:01:16.398166 : Epoch  3, Batch    529, Loss  0.856232, Average Loss  0.871671, Time  0.240256
2021-09-16 05:01:17.570756 : Epoch  5, Batch   1056, Loss  0.909587, Average Loss  0.869969, Time  0.264973
2021-09-16 05:01:18.995600 : Epoch  3, Batch    530, Loss  0.867921, Average Loss  0.871626, Time  0.242388
2021-09-16 05:01:20.603043 : Epoch  5, Batch   1057, Loss  0.859775, Average Loss  0.869968, Time  0.265619
2021-09-16 05:01:21.590374 : Epoch  3, Batch    531, Loss  0.865453, Average Loss  0.871669, Time  0.241037
2021-09-16 05:01:23.598395 : Epoch  5, Batch   1058, Loss  0.872714, Average Loss  0.869908, Time  0.266113
2021-09-16 05:01:24.175679 : Epoch  3, Batch    532, Loss  0.864368, Average Loss  0.871586, Time  0.239854
2021-09-16 05:01:26.608621 : Epoch  5, Batch   1059, Loss  0.869506, Average Loss  0.869838, Time  0.265569
2021-09-16 05:01:26.775408 : Epoch  3, Batch    533, Loss  0.861669, Average Loss  0.871485, Time  0.239864
2021-09-16 05:01:29.358407 : Epoch  3, Batch    534, Loss  0.878801, Average Loss  0.871621, Time  0.241078
2021-09-16 05:01:29.602290 : Epoch  5, Batch   1060, Loss  0.854925, Average Loss  0.869735, Time  0.265828
2021-09-16 05:01:31.954076 : Epoch  3, Batch    535, Loss  0.877856, Average Loss  0.871703, Time  0.240166
2021-09-16 05:01:32.619472 : Epoch  5, Batch   1061, Loss  0.862006, Average Loss  0.869709, Time  0.276044
2021-09-16 05:01:34.541686 : Epoch  3, Batch    536, Loss  0.887616, Average Loss  0.871850, Time  0.240203
2021-09-16 05:01:35.645264 : Epoch  5, Batch   1062, Loss  0.880747, Average Loss  0.869762, Time  0.265469
2021-09-16 05:01:37.134604 : Epoch  3, Batch    537, Loss  0.856000, Average Loss  0.871774, Time  0.240515
2021-09-16 05:01:38.649095 : Epoch  5, Batch   1063, Loss  0.875190, Average Loss  0.869796, Time  0.265604
2021-09-16 05:01:39.724325 : Epoch  3, Batch    538, Loss  0.847560, Average Loss  0.871731, Time  0.240250
2021-09-16 05:01:41.665763 : Epoch  5, Batch   1064, Loss  0.876096, Average Loss  0.869846, Time  0.267771
2021-09-16 05:01:42.305638 : Epoch  3, Batch    539, Loss  0.881046, Average Loss  0.871773, Time  0.239756
2021-09-16 05:01:44.672725 : Epoch  5, Batch   1065, Loss  0.850461, Average Loss  0.869645, Time  0.265830
2021-09-16 05:01:44.891625 : Epoch  3, Batch    540, Loss  0.855531, Average Loss  0.871732, Time  0.240139
2021-09-16 05:01:47.485419 : Epoch  3, Batch    541, Loss  0.866568, Average Loss  0.871620, Time  0.240752
2021-09-16 05:01:47.673154 : Epoch  5, Batch   1066, Loss  0.879944, Average Loss  0.869688, Time  0.266754
2021-09-16 05:01:50.073970 : Epoch  3, Batch    542, Loss  0.877644, Average Loss  0.871640, Time  0.240089
2021-09-16 05:01:50.691081 : Epoch  5, Batch   1067, Loss  0.891430, Average Loss  0.869834, Time  0.266130
2021-09-16 05:01:52.660764 : Epoch  3, Batch    543, Loss  0.872325, Average Loss  0.871701, Time  0.240742
2021-09-16 05:01:53.679531 : Epoch  5, Batch   1068, Loss  0.881065, Average Loss  0.869885, Time  0.265373
2021-09-16 05:01:55.262767 : Epoch  3, Batch    544, Loss  0.862849, Average Loss  0.871500, Time  0.241325
2021-09-16 05:01:56.680160 : Epoch  5, Batch   1069, Loss  0.886593, Average Loss  0.870043, Time  0.265872
2021-09-16 05:01:57.859692 : Epoch  3, Batch    545, Loss  0.868884, Average Loss  0.871481, Time  0.240153
2021-09-16 05:01:59.716297 : Epoch  5, Batch   1070, Loss  0.871649, Average Loss  0.869949, Time  0.266152
2021-09-16 05:02:00.468674 : Epoch  3, Batch    546, Loss  0.864582, Average Loss  0.871479, Time  0.241047
2021-09-16 05:02:02.717810 : Epoch  5, Batch   1071, Loss  0.864600, Average Loss  0.869956, Time  0.265964
2021-09-16 05:02:03.060293 : Epoch  3, Batch    547, Loss  0.877494, Average Loss  0.871482, Time  0.240674
2021-09-16 05:02:05.651433 : Epoch  3, Batch    548, Loss  0.868651, Average Loss  0.871517, Time  0.239841
2021-09-16 05:02:05.745905 : Epoch  5, Batch   1072, Loss  0.872387, Average Loss  0.869997, Time  0.265145
2021-09-16 05:02:08.252284 : Epoch  3, Batch    549, Loss  0.872432, Average Loss  0.871515, Time  0.240456
2021-09-16 05:02:08.743936 : Epoch  5, Batch   1073, Loss  0.851056, Average Loss  0.869898, Time  0.265690
2021-09-16 05:02:10.843179 : Epoch  3, Batch    550, Loss  0.869132, Average Loss  0.871528, Time  0.240290
2021-09-16 05:02:11.731480 : Epoch  5, Batch   1074, Loss  0.856011, Average Loss  0.869795, Time  0.265612
2021-09-16 05:02:13.439016 : Epoch  3, Batch    551, Loss  0.878166, Average Loss  0.871619, Time  0.240509
2021-09-16 05:02:14.734539 : Epoch  5, Batch   1075, Loss  0.886917, Average Loss  0.869819, Time  0.265783
2021-09-16 05:02:16.047082 : Epoch  3, Batch    552, Loss  0.872651, Average Loss  0.871580, Time  0.240208
2021-09-16 05:02:17.758714 : Epoch  5, Batch   1076, Loss  0.865426, Average Loss  0.869709, Time  0.279288
2021-09-16 05:02:18.632877 : Epoch  3, Batch    553, Loss  0.856303, Average Loss  0.871518, Time  0.239895
2021-09-16 05:02:21.228421 : Epoch  3, Batch    554, Loss  0.889887, Average Loss  0.871618, Time  0.240518
2021-09-16 05:02:23.819414 : Epoch  3, Batch    555, Loss  0.882830, Average Loss  0.871645, Time  0.240707
2021-09-16 05:02:26.413949 : Epoch  3, Batch    556, Loss  0.870426, Average Loss  0.871626, Time  0.240060
2021-09-16 05:02:29.004818 : Epoch  3, Batch    557, Loss  0.875046, Average Loss  0.871701, Time  0.240836
2021-09-16 05:02:31.590352 : Epoch  3, Batch    558, Loss  0.876487, Average Loss  0.871568, Time  0.240321
2021-09-16 05:02:34.180774 : Epoch  3, Batch    559, Loss  0.881300, Average Loss  0.871497, Time  0.240793
2021-09-16 05:02:36.770942 : Epoch  3, Batch    560, Loss  0.871951, Average Loss  0.871511, Time  0.240584
2021-09-16 05:02:39.368058 : Epoch  3, Batch    561, Loss  0.887864, Average Loss  0.871583, Time  0.239918
2021-09-16 05:02:41.964359 : Epoch  3, Batch    562, Loss  0.867994, Average Loss  0.871463, Time  0.240254
2021-09-16 05:02:44.548439 : Epoch  3, Batch    563, Loss  0.861292, Average Loss  0.871461, Time  0.239798
2021-09-16 05:02:47.151259 : Epoch  3, Batch    564, Loss  0.878497, Average Loss  0.871527, Time  0.240778
2021-09-16 05:02:49.740444 : Epoch  3, Batch    565, Loss  0.847583, Average Loss  0.871330, Time  0.241274
2021-09-16 05:02:52.337075 : Epoch  3, Batch    566, Loss  0.892618, Average Loss  0.871481, Time  0.240812
2021-09-16 05:02:54.928761 : Epoch  3, Batch    567, Loss  0.875126, Average Loss  0.871443, Time  0.240914
2021-09-16 05:02:57.525841 : Epoch  3, Batch    568, Loss  0.880740, Average Loss  0.871490, Time  0.240846
2021-09-16 05:03:00.136417 : Epoch  3, Batch    569, Loss  0.888902, Average Loss  0.871632, Time  0.241049
2021-09-16 05:03:02.733962 : Epoch  3, Batch    570, Loss  0.844911, Average Loss  0.871582, Time  0.241293
2021-09-16 05:03:05.322961 : Epoch  3, Batch    571, Loss  0.860887, Average Loss  0.871456, Time  0.239967
2021-09-16 05:03:07.921043 : Epoch  3, Batch    572, Loss  0.867473, Average Loss  0.871428, Time  0.241057
2021-09-16 05:03:10.511965 : Epoch  3, Batch    573, Loss  0.875161, Average Loss  0.871462, Time  0.240992
2021-09-16 05:03:13.106923 : Epoch  3, Batch    574, Loss  0.884949, Average Loss  0.871561, Time  0.240492
2021-09-16 05:03:15.699851 : Epoch  3, Batch    575, Loss  0.863214, Average Loss  0.871514, Time  0.240206
2021-09-16 05:03:18.284820 : Epoch  3, Batch    576, Loss  0.869116, Average Loss  0.871430, Time  0.239983
2021-09-16 05:03:20.873995 : Epoch  3, Batch    577, Loss  0.876649, Average Loss  0.871461, Time  0.240379
2021-09-16 05:03:23.454880 : Epoch  3, Batch    578, Loss  0.879088, Average Loss  0.871507, Time  0.241122
2021-09-16 05:03:26.033994 : Epoch  3, Batch    579, Loss  0.878348, Average Loss  0.871562, Time  0.241205
2021-09-16 05:03:28.619839 : Epoch  3, Batch    580, Loss  0.883629, Average Loss  0.871609, Time  0.241223
2021-09-16 05:03:31.218671 : Epoch  3, Batch    581, Loss  0.865325, Average Loss  0.871572, Time  0.241906
2021-09-16 05:03:33.810771 : Epoch  3, Batch    582, Loss  0.868437, Average Loss  0.871522, Time  0.240595
2021-09-16 05:03:36.395937 : Epoch  3, Batch    583, Loss  0.868116, Average Loss  0.871649, Time  0.240982
2021-09-16 05:03:38.987736 : Epoch  3, Batch    584, Loss  0.865114, Average Loss  0.871693, Time  0.239992
2021-09-16 05:03:41.571172 : Epoch  3, Batch    585, Loss  0.870237, Average Loss  0.871717, Time  0.240052
2021-09-16 05:03:44.158859 : Epoch  3, Batch    586, Loss  0.865700, Average Loss  0.871683, Time  0.242503
2021-09-16 05:03:46.749422 : Epoch  3, Batch    587, Loss  0.878006, Average Loss  0.871727, Time  0.241309
2021-09-16 05:03:49.342265 : Epoch  3, Batch    588, Loss  0.842687, Average Loss  0.871643, Time  0.241212
2021-09-16 05:06:58.537213 : CheckPoint: Validation Loss  0.00030358, Best Loss  0.00029379
2021-09-16 05:07:01.623691 : Epoch  5, Batch   1077, Loss  0.866359, Average Loss  0.869610, Time  0.269482
2021-09-16 05:07:04.624840 : Epoch  5, Batch   1078, Loss  0.863959, Average Loss  0.869616, Time  0.265155
2021-09-16 05:07:07.673756 : Epoch  5, Batch   1079, Loss  0.882175, Average Loss  0.869654, Time  0.266611
2021-09-16 05:07:10.694058 : Epoch  5, Batch   1080, Loss  0.890541, Average Loss  0.869683, Time  0.264915
2021-09-16 05:07:13.736563 : Epoch  5, Batch   1081, Loss  0.855812, Average Loss  0.869616, Time  0.265849
2021-09-16 05:07:16.781451 : Epoch  5, Batch   1082, Loss  0.874841, Average Loss  0.869704, Time  0.267101
2021-09-16 05:07:19.810666 : Epoch  5, Batch   1083, Loss  0.876018, Average Loss  0.869773, Time  0.266230
2021-09-16 05:07:22.814469 : Epoch  5, Batch   1084, Loss  0.854818, Average Loss  0.869687, Time  0.265874
2021-09-16 05:07:25.835229 : Epoch  5, Batch   1085, Loss  0.885173, Average Loss  0.869755, Time  0.266135
2021-09-16 05:07:28.846318 : Epoch  5, Batch   1086, Loss  0.869334, Average Loss  0.869876, Time  0.265863
2021-09-16 05:07:31.853706 : Epoch  5, Batch   1087, Loss  0.882054, Average Loss  0.870001, Time  0.266358
2021-09-16 05:07:34.863072 : Epoch  5, Batch   1088, Loss  0.863070, Average Loss  0.869895, Time  0.266353
2021-09-16 05:07:37.898730 : Epoch  5, Batch   1089, Loss  0.864277, Average Loss  0.869930, Time  0.266050
2021-09-16 05:07:40.903327 : Epoch  5, Batch   1090, Loss  0.870568, Average Loss  0.869978, Time  0.265180
2021-09-16 05:07:43.921904 : Epoch  5, Batch   1091, Loss  0.874805, Average Loss  0.869979, Time  0.275287
2021-09-16 05:07:46.972780 : Epoch  5, Batch   1092, Loss  0.858179, Average Loss  0.869858, Time  0.265419
2021-09-16 05:07:49.993398 : Epoch  5, Batch   1093, Loss  0.864927, Average Loss  0.869956, Time  0.266110
2021-09-16 05:07:52.565749 : CheckPoint: Validation Loss  0.00030517, Best Loss  0.00029226
2021-09-16 05:07:53.007009 : Epoch  5, Batch   1094, Loss  0.877177, Average Loss  0.870072, Time  0.265458
2021-09-16 05:07:55.153111 : Epoch  3, Batch    589, Loss  0.868796, Average Loss  0.871681, Time  0.240881
2021-09-16 05:07:56.049138 : Epoch  5, Batch   1095, Loss  0.870812, Average Loss  0.869990, Time  0.268414
2021-09-16 05:07:57.741867 : Epoch  3, Batch    590, Loss  0.866522, Average Loss  0.871608, Time  0.240647
2021-09-16 05:07:59.116249 : Epoch  5, Batch   1096, Loss  0.886131, Average Loss  0.870071, Time  0.266499
2021-09-16 05:08:00.342198 : Epoch  3, Batch    591, Loss  0.867348, Average Loss  0.871606, Time  0.240108
2021-09-16 05:08:02.140890 : Epoch  5, Batch   1097, Loss  0.888035, Average Loss  0.870162, Time  0.265313
2021-09-16 05:08:02.934836 : Epoch  3, Batch    592, Loss  0.847719, Average Loss  0.871498, Time  0.240893
2021-09-16 05:08:05.156922 : Epoch  5, Batch   1098, Loss  0.881242, Average Loss  0.870261, Time  0.264936
2021-09-16 05:08:05.526943 : Epoch  3, Batch    593, Loss  0.858804, Average Loss  0.871369, Time  0.240981
2021-09-16 05:08:08.118108 : Epoch  3, Batch    594, Loss  0.864892, Average Loss  0.871376, Time  0.242408
2021-09-16 05:08:08.181532 : Epoch  5, Batch   1099, Loss  0.876727, Average Loss  0.870357, Time  0.265702
2021-09-16 05:08:10.715192 : Epoch  3, Batch    595, Loss  0.857585, Average Loss  0.871322, Time  0.240099
2021-09-16 05:08:11.239356 : Epoch  5, Batch   1100, Loss  0.881730, Average Loss  0.870324, Time  0.266033
2021-09-16 05:08:13.308133 : Epoch  3, Batch    596, Loss  0.875573, Average Loss  0.871403, Time  0.240042
2021-09-16 05:08:14.248403 : Epoch  5, Batch   1101, Loss  0.884589, Average Loss  0.870457, Time  0.265085
2021-09-16 05:08:15.899038 : Epoch  3, Batch    597, Loss  0.883998, Average Loss  0.871579, Time  0.240853
2021-09-16 05:08:17.288191 : Epoch  5, Batch   1102, Loss  0.870985, Average Loss  0.870449, Time  0.266897
2021-09-16 05:08:18.513388 : Epoch  3, Batch    598, Loss  0.864058, Average Loss  0.871458, Time  0.239843
2021-09-16 05:08:20.292075 : Epoch  5, Batch   1103, Loss  0.865987, Average Loss  0.870449, Time  0.266798
2021-09-16 05:08:21.096416 : Epoch  3, Batch    599, Loss  0.867618, Average Loss  0.871463, Time  0.240600
2021-09-16 05:08:23.298838 : Epoch  5, Batch   1104, Loss  0.858495, Average Loss  0.870431, Time  0.266768
2021-09-16 05:08:23.686689 : Epoch  3, Batch    600, Loss  0.871035, Average Loss  0.871416, Time  0.239904
2021-09-16 05:08:26.274326 : Epoch  3, Batch    601, Loss  0.871570, Average Loss  0.871419, Time  0.240177
2021-09-16 05:08:26.302641 : Epoch  5, Batch   1105, Loss  0.859109, Average Loss  0.870499, Time  0.265651
2021-09-16 05:08:28.870107 : Epoch  3, Batch    602, Loss  0.875006, Average Loss  0.871366, Time  0.241800
2021-09-16 05:08:29.333083 : Epoch  5, Batch   1106, Loss  0.842939, Average Loss  0.870324, Time  0.276111
2021-09-16 05:08:31.458976 : Epoch  3, Batch    603, Loss  0.858301, Average Loss  0.871317, Time  0.240173
2021-09-16 05:08:32.338983 : Epoch  5, Batch   1107, Loss  0.865648, Average Loss  0.870267, Time  0.266083
2021-09-16 05:08:34.041630 : Epoch  3, Batch    604, Loss  0.885743, Average Loss  0.871339, Time  0.241148
2021-09-16 05:08:35.368376 : Epoch  5, Batch   1108, Loss  0.873080, Average Loss  0.870247, Time  0.265803
2021-09-16 05:08:36.639820 : Epoch  3, Batch    605, Loss  0.873754, Average Loss  0.871270, Time  0.240282
2021-09-16 05:08:38.375083 : Epoch  5, Batch   1109, Loss  0.878233, Average Loss  0.870369, Time  0.265272
2021-09-16 05:08:39.230182 : Epoch  3, Batch    606, Loss  0.872202, Average Loss  0.871223, Time  0.240320
2021-09-16 05:08:41.373560 : Epoch  5, Batch   1110, Loss  0.882299, Average Loss  0.870350, Time  0.265390
2021-09-16 05:08:41.825676 : Epoch  3, Batch    607, Loss  0.879313, Average Loss  0.871285, Time  0.240142
2021-09-16 05:08:44.383224 : Epoch  5, Batch   1111, Loss  0.869178, Average Loss  0.870297, Time  0.265943
2021-09-16 05:08:44.412843 : Epoch  3, Batch    608, Loss  0.881496, Average Loss  0.871357, Time  0.240646
2021-09-16 05:08:47.000804 : Epoch  3, Batch    609, Loss  0.866097, Average Loss  0.871307, Time  0.240403
2021-09-16 05:08:47.400005 : Epoch  5, Batch   1112, Loss  0.859319, Average Loss  0.870282, Time  0.265975
2021-09-16 05:08:49.591009 : Epoch  3, Batch    610, Loss  0.877423, Average Loss  0.871427, Time  0.240869
2021-09-16 05:08:50.388920 : Epoch  5, Batch   1113, Loss  0.853499, Average Loss  0.870209, Time  0.265089
2021-09-16 05:08:52.173103 : Epoch  3, Batch    611, Loss  0.878105, Average Loss  0.871423, Time  0.240298
2021-09-16 05:08:53.393311 : Epoch  5, Batch   1114, Loss  0.876422, Average Loss  0.870373, Time  0.266144
2021-09-16 05:08:54.760441 : Epoch  3, Batch    612, Loss  0.874856, Average Loss  0.871461, Time  0.240377
2021-09-16 05:08:56.395358 : Epoch  5, Batch   1115, Loss  0.842773, Average Loss  0.870247, Time  0.267406
2021-09-16 05:08:57.350713 : Epoch  3, Batch    613, Loss  0.880099, Average Loss  0.871486, Time  0.239991
2021-09-16 05:08:59.426557 : Epoch  5, Batch   1116, Loss  0.877494, Average Loss  0.870210, Time  0.265295
2021-09-16 05:08:59.935731 : Epoch  3, Batch    614, Loss  0.851929, Average Loss  0.871362, Time  0.239833
2021-09-16 05:09:02.464910 : Epoch  5, Batch   1117, Loss  0.864312, Average Loss  0.870241, Time  0.265962
2021-09-16 05:09:02.505166 : Epoch  3, Batch    615, Loss  0.865175, Average Loss  0.871343, Time  0.240082
2021-09-16 05:09:05.101409 : Epoch  3, Batch    616, Loss  0.873246, Average Loss  0.871411, Time  0.241226
2021-09-16 05:09:05.464949 : Epoch  5, Batch   1118, Loss  0.881851, Average Loss  0.870401, Time  0.264185
2021-09-16 05:09:07.694871 : Epoch  3, Batch    617, Loss  0.881084, Average Loss  0.871371, Time  0.241011
2021-09-16 05:09:08.474298 : Epoch  5, Batch   1119, Loss  0.852677, Average Loss  0.870303, Time  0.265140
2021-09-16 05:09:10.287752 : Epoch  3, Batch    618, Loss  0.874573, Average Loss  0.871307, Time  0.241327
2021-09-16 05:09:11.464557 : Epoch  5, Batch   1120, Loss  0.884547, Average Loss  0.870345, Time  0.265276
2021-09-16 05:09:12.876998 : Epoch  3, Batch    619, Loss  0.864412, Average Loss  0.871288, Time  0.240099
2021-09-16 05:09:14.478431 : Epoch  5, Batch   1121, Loss  0.863073, Average Loss  0.870296, Time  0.275684
2021-09-16 05:09:15.472018 : Epoch  3, Batch    620, Loss  0.869621, Average Loss  0.871185, Time  0.240043
2021-09-16 05:09:17.486087 : Epoch  5, Batch   1122, Loss  0.864910, Average Loss  0.870272, Time  0.265818
2021-09-16 05:09:18.062295 : Epoch  3, Batch    621, Loss  0.868187, Average Loss  0.871228, Time  0.240683
2021-09-16 05:09:20.522796 : Epoch  5, Batch   1123, Loss  0.866712, Average Loss  0.870246, Time  0.266990
2021-09-16 05:09:20.661044 : Epoch  3, Batch    622, Loss  0.863059, Average Loss  0.871283, Time  0.240008
2021-09-16 05:09:23.241283 : Epoch  3, Batch    623, Loss  0.873944, Average Loss  0.871192, Time  0.241624
2021-09-16 05:09:23.567618 : Epoch  5, Batch   1124, Loss  0.871815, Average Loss  0.870257, Time  0.266804
2021-09-16 05:09:25.835225 : Epoch  3, Batch    624, Loss  0.876346, Average Loss  0.871227, Time  0.240278
2021-09-16 05:09:26.599544 : Epoch  5, Batch   1125, Loss  0.888221, Average Loss  0.870317, Time  0.266636
2021-09-16 05:09:28.432952 : Epoch  3, Batch    625, Loss  0.880588, Average Loss  0.871287, Time  0.241202
2021-09-16 05:09:29.645282 : Epoch  5, Batch   1126, Loss  0.864669, Average Loss  0.870315, Time  0.266459
2021-09-16 05:09:31.025840 : Epoch  3, Batch    626, Loss  0.897899, Average Loss  0.871471, Time  0.240129
2021-09-16 05:09:32.711777 : Epoch  5, Batch   1127, Loss  0.877954, Average Loss  0.870365, Time  0.266233
2021-09-16 05:09:33.618874 : Epoch  3, Batch    627, Loss  0.874986, Average Loss  0.871431, Time  0.241731
2021-09-16 05:09:35.758895 : Epoch  5, Batch   1128, Loss  0.882389, Average Loss  0.870555, Time  0.266343
2021-09-16 05:09:36.207885 : Epoch  3, Batch    628, Loss  0.863387, Average Loss  0.871399, Time  0.241251
2021-09-16 05:09:38.783086 : Epoch  3, Batch    629, Loss  0.868623, Average Loss  0.871313, Time  0.239845
2021-09-16 05:09:38.814816 : Epoch  5, Batch   1129, Loss  0.874670, Average Loss  0.870652, Time  0.265490
2021-09-16 05:09:41.370015 : Epoch  3, Batch    630, Loss  0.886222, Average Loss  0.871373, Time  0.240504
2021-09-16 05:09:41.826917 : Epoch  5, Batch   1130, Loss  0.880847, Average Loss  0.870671, Time  0.265784
2021-09-16 05:09:43.971432 : Epoch  3, Batch    631, Loss  0.879572, Average Loss  0.871382, Time  0.241997
2021-09-16 05:09:44.862507 : Epoch  5, Batch   1131, Loss  0.894304, Average Loss  0.870863, Time  0.265666
2021-09-16 05:09:46.563053 : Epoch  3, Batch    632, Loss  0.894433, Average Loss  0.871412, Time  0.240429
2021-09-16 05:09:47.864048 : Epoch  5, Batch   1132, Loss  0.877047, Average Loss  0.870911, Time  0.265623
2021-09-16 05:09:49.162236 : Epoch  3, Batch    633, Loss  0.874887, Average Loss  0.871469, Time  0.239718
2021-09-16 05:09:50.859765 : Epoch  5, Batch   1133, Loss  0.888421, Average Loss  0.871108, Time  0.266274
2021-09-16 05:09:51.745753 : Epoch  3, Batch    634, Loss  0.869295, Average Loss  0.871451, Time  0.240626
2021-09-16 05:09:53.898478 : Epoch  5, Batch   1134, Loss  0.870827, Average Loss  0.871148, Time  0.265438
2021-09-16 05:09:54.330357 : Epoch  3, Batch    635, Loss  0.857563, Average Loss  0.871328, Time  0.241599
2021-09-16 05:09:56.905030 : Epoch  5, Batch   1135, Loss  0.860425, Average Loss  0.871146, Time  0.265945
2021-09-16 05:09:56.911500 : Epoch  3, Batch    636, Loss  0.875935, Average Loss  0.871412, Time  0.240405
2021-09-16 05:09:59.513382 : Epoch  3, Batch    637, Loss  0.876217, Average Loss  0.871471, Time  0.240081
2021-09-16 05:09:59.912683 : Epoch  5, Batch   1136, Loss  0.870307, Average Loss  0.871136, Time  0.277443
2021-09-16 05:10:02.106287 : Epoch  3, Batch    638, Loss  0.875374, Average Loss  0.871362, Time  0.241751
2021-09-16 05:10:02.941918 : Epoch  5, Batch   1137, Loss  0.874707, Average Loss  0.871153, Time  0.266350
2021-09-16 05:10:04.696739 : Epoch  3, Batch    639, Loss  0.872195, Average Loss  0.871394, Time  0.241771
2021-09-16 05:10:05.961527 : Epoch  5, Batch   1138, Loss  0.875354, Average Loss  0.871243, Time  0.265505
2021-09-16 05:10:07.293963 : Epoch  3, Batch    640, Loss  0.884953, Average Loss  0.871504, Time  0.240457
2021-09-16 05:10:08.975626 : Epoch  5, Batch   1139, Loss  0.885496, Average Loss  0.871273, Time  0.265685
2021-09-16 05:10:09.892396 : Epoch  3, Batch    641, Loss  0.905984, Average Loss  0.871826, Time  0.241864
2021-09-16 05:10:11.973015 : Epoch  5, Batch   1140, Loss  0.867023, Average Loss  0.871262, Time  0.265459
2021-09-16 05:10:12.478224 : Epoch  3, Batch    642, Loss  0.871163, Average Loss  0.871863, Time  0.240539
2021-09-16 05:10:14.986244 : Epoch  5, Batch   1141, Loss  0.863449, Average Loss  0.871102, Time  0.265492
2021-09-16 05:10:15.063989 : Epoch  3, Batch    643, Loss  0.857942, Average Loss  0.871852, Time  0.239770
2021-09-16 05:10:17.655141 : Epoch  3, Batch    644, Loss  0.862087, Average Loss  0.871877, Time  0.243486
2021-09-16 05:10:18.019423 : Epoch  5, Batch   1142, Loss  0.884660, Average Loss  0.871152, Time  0.266578
2021-09-16 05:10:20.253029 : Epoch  3, Batch    645, Loss  0.869367, Average Loss  0.871904, Time  0.241028
2021-09-16 05:10:21.019819 : Epoch  5, Batch   1143, Loss  0.854377, Average Loss  0.871096, Time  0.265263
2021-09-16 05:10:22.859428 : Epoch  3, Batch    646, Loss  0.891966, Average Loss  0.871975, Time  0.240325
2021-09-16 05:10:24.027097 : Epoch  5, Batch   1144, Loss  0.849344, Average Loss  0.871075, Time  0.265751
2021-09-16 05:10:25.445257 : Epoch  3, Batch    647, Loss  0.855044, Average Loss  0.871867, Time  0.240407
2021-09-16 05:10:27.040549 : Epoch  5, Batch   1145, Loss  0.888995, Average Loss  0.871155, Time  0.265803
2021-09-16 05:10:28.039970 : Epoch  3, Batch    648, Loss  0.846080, Average Loss  0.871759, Time  0.241353
2021-09-16 05:10:30.084097 : Epoch  5, Batch   1146, Loss  0.885627, Average Loss  0.871286, Time  0.267434
2021-09-16 05:10:30.630436 : Epoch  3, Batch    649, Loss  0.864710, Average Loss  0.871720, Time  0.239797
2021-09-16 05:10:33.118611 : Epoch  5, Batch   1147, Loss  0.888289, Average Loss  0.871403, Time  0.266396
2021-09-16 05:10:33.234553 : Epoch  3, Batch    650, Loss  0.882399, Average Loss  0.871800, Time  0.240930
2021-09-16 05:10:35.822829 : Epoch  3, Batch    651, Loss  0.889119, Average Loss  0.871736, Time  0.242382
2021-09-16 05:10:36.154106 : Epoch  5, Batch   1148, Loss  0.873020, Average Loss  0.871479, Time  0.265588
2021-09-16 05:10:38.420891 : Epoch  3, Batch    652, Loss  0.866388, Average Loss  0.871726, Time  0.240350
2021-09-16 05:10:39.169810 : Epoch  5, Batch   1149, Loss  0.880258, Average Loss  0.871519, Time  0.265656
2021-09-16 05:10:41.012280 : Epoch  3, Batch    653, Loss  0.848441, Average Loss  0.871567, Time  0.241342
2021-09-16 05:10:42.171657 : Epoch  5, Batch   1150, Loss  0.850283, Average Loss  0.871426, Time  0.264857
2021-09-16 05:10:43.599163 : Epoch  3, Batch    654, Loss  0.851402, Average Loss  0.871438, Time  0.240490
2021-09-16 05:10:45.168684 : Epoch  5, Batch   1151, Loss  0.884944, Average Loss  0.871441, Time  0.276758
2021-09-16 05:10:46.188746 : Epoch  3, Batch    655, Loss  0.874675, Average Loss  0.871403, Time  0.240747
2021-09-16 05:10:48.180556 : Epoch  5, Batch   1152, Loss  0.861290, Average Loss  0.871272, Time  0.266950
2021-09-16 05:10:48.781438 : Epoch  3, Batch    656, Loss  0.866312, Average Loss  0.871384, Time  0.241032
2021-09-16 05:10:51.200401 : Epoch  5, Batch   1153, Loss  0.863892, Average Loss  0.871234, Time  0.265239
2021-09-16 05:10:51.375195 : Epoch  3, Batch    657, Loss  0.861035, Average Loss  0.871306, Time  0.240183
2021-09-16 05:10:53.965172 : Epoch  3, Batch    658, Loss  0.897979, Average Loss  0.871514, Time  0.242031
2021-09-16 05:10:54.198197 : Epoch  5, Batch   1154, Loss  0.864082, Average Loss  0.871184, Time  0.264945
2021-09-16 05:10:56.547912 : Epoch  3, Batch    659, Loss  0.866754, Average Loss  0.871535, Time  0.239946
2021-09-16 05:10:57.219757 : Epoch  5, Batch   1155, Loss  0.853434, Average Loss  0.871040, Time  0.266199
2021-09-16 05:10:59.144430 : Epoch  3, Batch    660, Loss  0.835198, Average Loss  0.871388, Time  0.239846
2021-09-16 05:11:00.253014 : Epoch  5, Batch   1156, Loss  0.863070, Average Loss  0.871001, Time  0.265328
2021-09-16 05:11:01.741818 : Epoch  3, Batch    661, Loss  0.857672, Average Loss  0.871335, Time  0.241164
2021-09-16 05:11:03.304908 : Epoch  5, Batch   1157, Loss  0.871644, Average Loss  0.871050, Time  0.266650
2021-09-16 05:11:04.334426 : Epoch  3, Batch    662, Loss  0.870639, Average Loss  0.871301, Time  0.239923
2021-09-16 05:11:06.317721 : Epoch  5, Batch   1158, Loss  0.856897, Average Loss  0.870952, Time  0.265335
2021-09-16 05:11:06.925911 : Epoch  3, Batch    663, Loss  0.887525, Average Loss  0.871349, Time  0.240373
2021-09-16 05:11:09.322570 : Epoch  5, Batch   1159, Loss  0.848925, Average Loss  0.870872, Time  0.265703
2021-09-16 05:11:09.517929 : Epoch  3, Batch    664, Loss  0.904223, Average Loss  0.871505, Time  0.240288
2021-09-16 05:11:12.102106 : Epoch  3, Batch    665, Loss  0.869213, Average Loss  0.871436, Time  0.240268
2021-09-16 05:11:12.321418 : Epoch  5, Batch   1160, Loss  0.870671, Average Loss  0.871039, Time  0.265208
2021-09-16 05:11:14.695108 : Epoch  3, Batch    666, Loss  0.875751, Average Loss  0.871324, Time  0.242072
2021-09-16 05:11:15.350334 : Epoch  5, Batch   1161, Loss  0.873727, Average Loss  0.871046, Time  0.266176
2021-09-16 05:11:17.286854 : Epoch  3, Batch    667, Loss  0.874949, Average Loss  0.871308, Time  0.239845
2021-09-16 05:11:18.406400 : Epoch  5, Batch   1162, Loss  0.862648, Average Loss  0.871015, Time  0.269278
2021-09-16 05:11:19.885163 : Epoch  3, Batch    668, Loss  0.855836, Average Loss  0.871200, Time  0.240422
2021-09-16 05:11:21.439345 : Epoch  5, Batch   1163, Loss  0.871628, Average Loss  0.870939, Time  0.265198
2021-09-16 05:11:22.469959 : Epoch  3, Batch    669, Loss  0.862667, Average Loss  0.871117, Time  0.240373
2021-09-16 05:11:24.448120 : Epoch  5, Batch   1164, Loss  0.871867, Average Loss  0.870974, Time  0.265703
2021-09-16 05:11:25.063337 : Epoch  3, Batch    670, Loss  0.864422, Average Loss  0.871062, Time  0.240240
2021-09-16 05:11:27.409458 : Epoch  5, Batch   1165, Loss  0.892161, Average Loss  0.871123, Time  0.264732
2021-09-16 05:11:27.665085 : Epoch  3, Batch    671, Loss  0.861965, Average Loss  0.871000, Time  0.240425
2021-09-16 05:11:30.247918 : Epoch  3, Batch    672, Loss  0.870625, Average Loss  0.871075, Time  0.241028
2021-09-16 05:11:30.436370 : Epoch  5, Batch   1166, Loss  0.852518, Average Loss  0.871100, Time  0.278943
2021-09-16 05:11:32.840630 : Epoch  3, Batch    673, Loss  0.885310, Average Loss  0.871083, Time  0.239959
2021-09-16 05:11:33.469274 : Epoch  5, Batch   1167, Loss  0.874944, Average Loss  0.871311, Time  0.267151
2021-09-16 05:11:35.440234 : Epoch  3, Batch    674, Loss  0.886178, Average Loss  0.871079, Time  0.241242
2021-09-16 05:11:36.476597 : Epoch  5, Batch   1168, Loss  0.882109, Average Loss  0.871339, Time  0.265355
2021-09-16 05:11:38.032836 : Epoch  3, Batch    675, Loss  0.858137, Average Loss  0.871050, Time  0.240222
2021-09-16 05:11:39.481096 : Epoch  5, Batch   1169, Loss  0.877563, Average Loss  0.871394, Time  0.266296
2021-09-16 05:11:40.619429 : Epoch  3, Batch    676, Loss  0.886767, Average Loss  0.871127, Time  0.240290
2021-09-16 05:11:42.509833 : Epoch  5, Batch   1170, Loss  0.865510, Average Loss  0.871384, Time  0.265683
2021-09-16 05:11:43.226237 : Epoch  3, Batch    677, Loss  0.877594, Average Loss  0.871103, Time  0.241472
2021-09-16 05:11:45.552005 : Epoch  5, Batch   1171, Loss  0.870737, Average Loss  0.871369, Time  0.267222
2021-09-16 05:11:45.820950 : Epoch  3, Batch    678, Loss  0.861003, Average Loss  0.871144, Time  0.240624
2021-09-16 05:11:48.408155 : Epoch  3, Batch    679, Loss  0.869202, Average Loss  0.871155, Time  0.240737
2021-09-16 05:11:48.605061 : Epoch  5, Batch   1172, Loss  0.880308, Average Loss  0.871374, Time  0.266358
2021-09-16 05:11:50.996913 : Epoch  3, Batch    680, Loss  0.883302, Average Loss  0.871187, Time  0.240030
2021-09-16 05:11:51.622628 : Epoch  5, Batch   1173, Loss  0.886397, Average Loss  0.871461, Time  0.265965
2021-09-16 05:11:53.590706 : Epoch  3, Batch    681, Loss  0.852723, Average Loss  0.871166, Time  0.239841
2021-09-16 05:11:54.646670 : Epoch  5, Batch   1174, Loss  0.879595, Average Loss  0.871424, Time  0.265353
2021-09-16 05:11:56.185201 : Epoch  3, Batch    682, Loss  0.876803, Average Loss  0.871127, Time  0.240594
2021-09-16 05:11:57.646099 : Epoch  5, Batch   1175, Loss  0.876170, Average Loss  0.871491, Time  0.265169
2021-09-16 05:11:58.771144 : Epoch  3, Batch    683, Loss  0.841654, Average Loss  0.871048, Time  0.240776
2021-09-16 05:12:00.659193 : Epoch  5, Batch   1176, Loss  0.879544, Average Loss  0.871600, Time  0.265512
2021-09-16 05:12:01.363306 : Epoch  3, Batch    684, Loss  0.877609, Average Loss  0.871077, Time  0.241430
2021-09-16 05:12:03.970430 : Epoch  3, Batch    685, Loss  0.869598, Average Loss  0.871009, Time  0.241115
2021-09-16 05:12:06.569087 : Epoch  3, Batch    686, Loss  0.870301, Average Loss  0.871005, Time  0.240278
2021-09-16 05:12:09.159419 : Epoch  3, Batch    687, Loss  0.859267, Average Loss  0.870992, Time  0.240349
2021-09-16 05:12:11.763422 : Epoch  3, Batch    688, Loss  0.887835, Average Loss  0.871065, Time  0.240147
2021-09-16 05:16:15.010750 : CheckPoint: Validation Loss  0.00029588, Best Loss  0.00029226
2021-09-16 05:16:17.635013 : Epoch  3, Batch    689, Loss  0.866420, Average Loss  0.871066, Time  0.267730
2021-09-16 05:16:20.230960 : Epoch  3, Batch    690, Loss  0.864771, Average Loss  0.871134, Time  0.242087
2021-09-16 05:16:22.833014 : Epoch  3, Batch    691, Loss  0.871672, Average Loss  0.871238, Time  0.240780
2021-09-16 05:16:25.419988 : Epoch  3, Batch    692, Loss  0.874082, Average Loss  0.871256, Time  0.240013
2021-09-16 05:16:28.015031 : Epoch  3, Batch    693, Loss  0.866551, Average Loss  0.871105, Time  0.241264
2021-09-16 05:16:30.614865 : Epoch  3, Batch    694, Loss  0.863946, Average Loss  0.870983, Time  0.240329
2021-09-16 05:16:33.221151 : Epoch  3, Batch    695, Loss  0.854402, Average Loss  0.870845, Time  0.240175
2021-09-16 05:16:35.851925 : Epoch  3, Batch    696, Loss  0.888561, Average Loss  0.870957, Time  0.240282
2021-09-16 05:16:38.449957 : Epoch  3, Batch    697, Loss  0.893015, Average Loss  0.871121, Time  0.240161
2021-09-16 05:16:41.037155 : Epoch  3, Batch    698, Loss  0.885287, Average Loss  0.871030, Time  0.240659
2021-09-16 05:16:41.154085 : CheckPoint: Validation Loss  0.00030445, Best Loss  0.00029379
2021-09-16 05:16:43.624020 : Epoch  3, Batch    699, Loss  0.854785, Average Loss  0.871004, Time  0.239732
2021-09-16 05:16:44.201973 : Epoch  5, Batch   1177, Loss  0.878311, Average Loss  0.871635, Time  0.267554
2021-09-16 05:16:46.233126 : Epoch  3, Batch    700, Loss  0.854020, Average Loss  0.871000, Time  0.241606
2021-09-16 05:16:47.210986 : Epoch  5, Batch   1178, Loss  0.887242, Average Loss  0.871790, Time  0.265618
2021-09-16 05:16:48.827218 : Epoch  3, Batch    701, Loss  0.866000, Average Loss  0.871049, Time  0.240278
2021-09-16 05:16:50.203364 : Epoch  5, Batch   1179, Loss  0.863754, Average Loss  0.871727, Time  0.265420
2021-09-16 05:16:51.415854 : Epoch  3, Batch    702, Loss  0.881769, Average Loss  0.871198, Time  0.240406
2021-09-16 05:16:53.210613 : Epoch  5, Batch   1180, Loss  0.903065, Average Loss  0.871886, Time  0.276205
2021-09-16 05:16:53.997140 : Epoch  3, Batch    703, Loss  0.866574, Average Loss  0.871142, Time  0.241618
2021-09-16 05:16:56.207128 : Epoch  5, Batch   1181, Loss  0.877661, Average Loss  0.871929, Time  0.266630
2021-09-16 05:16:56.594289 : Epoch  3, Batch    704, Loss  0.881791, Average Loss  0.871117, Time  0.241992
2021-09-16 05:16:59.172205 : Epoch  3, Batch    705, Loss  0.907211, Average Loss  0.871340, Time  0.240932
2021-09-16 05:16:59.215013 : Epoch  5, Batch   1182, Loss  0.842541, Average Loss  0.871808, Time  0.265798
2021-09-16 05:17:01.773509 : Epoch  3, Batch    706, Loss  0.883009, Average Loss  0.871410, Time  0.240372
2021-09-16 05:17:02.239676 : Epoch  5, Batch   1183, Loss  0.862525, Average Loss  0.871721, Time  0.266452
2021-09-16 05:17:04.364270 : Epoch  3, Batch    707, Loss  0.857473, Average Loss  0.871348, Time  0.241047
2021-09-16 05:17:05.263568 : Epoch  5, Batch   1184, Loss  0.866931, Average Loss  0.871658, Time  0.265946
2021-09-16 05:17:06.966469 : Epoch  3, Batch    708, Loss  0.884155, Average Loss  0.871294, Time  0.241496
2021-09-16 05:17:08.257297 : Epoch  5, Batch   1185, Loss  0.847845, Average Loss  0.871533, Time  0.265363
2021-09-16 05:17:09.565632 : Epoch  3, Batch    709, Loss  0.868618, Average Loss  0.871244, Time  0.241460
2021-09-16 05:17:11.253821 : Epoch  5, Batch   1186, Loss  0.869972, Average Loss  0.871521, Time  0.266320
2021-09-16 05:17:12.167474 : Epoch  3, Batch    710, Loss  0.872806, Average Loss  0.871320, Time  0.239850
2021-09-16 05:17:14.284520 : Epoch  5, Batch   1187, Loss  0.867324, Average Loss  0.871594, Time  0.265816
2021-09-16 05:17:14.760009 : Epoch  3, Batch    711, Loss  0.882941, Average Loss  0.871392, Time  0.240688
2021-09-16 05:17:17.301043 : Epoch  5, Batch   1188, Loss  0.884605, Average Loss  0.871705, Time  0.267555
2021-09-16 05:17:17.350188 : Epoch  3, Batch    712, Loss  0.867351, Average Loss  0.871375, Time  0.241521
2021-09-16 05:17:19.929704 : Epoch  3, Batch    713, Loss  0.862505, Average Loss  0.871352, Time  0.239955
2021-09-16 05:17:20.323103 : Epoch  5, Batch   1189, Loss  0.874347, Average Loss  0.871876, Time  0.266262
2021-09-16 05:17:22.541129 : Epoch  3, Batch    714, Loss  0.871530, Average Loss  0.871199, Time  0.240634
2021-09-16 05:17:23.358134 : Epoch  5, Batch   1190, Loss  0.877492, Average Loss  0.871787, Time  0.265265
2021-09-16 05:17:25.135249 : Epoch  3, Batch    715, Loss  0.877085, Average Loss  0.871194, Time  0.239758
2021-09-16 05:17:26.350606 : Epoch  5, Batch   1191, Loss  0.885069, Average Loss  0.871789, Time  0.265663
2021-09-16 05:17:27.725757 : Epoch  3, Batch    716, Loss  0.874001, Average Loss  0.871226, Time  0.240459
2021-09-16 05:17:29.374374 : Epoch  5, Batch   1192, Loss  0.875597, Average Loss  0.871829, Time  0.266671
2021-09-16 05:17:30.318408 : Epoch  3, Batch    717, Loss  0.876015, Average Loss  0.871286, Time  0.240136
2021-09-16 05:17:32.409367 : Epoch  5, Batch   1193, Loss  0.877897, Average Loss  0.871836, Time  0.265966
2021-09-16 05:17:32.913333 : Epoch  3, Batch    718, Loss  0.863050, Average Loss  0.871281, Time  0.240267
2021-09-16 05:17:35.422298 : Epoch  5, Batch   1194, Loss  0.871935, Average Loss  0.871870, Time  0.265542
2021-09-16 05:17:35.493107 : Epoch  3, Batch    719, Loss  0.851172, Average Loss  0.871186, Time  0.241637
2021-09-16 05:17:38.085407 : Epoch  3, Batch    720, Loss  0.886838, Average Loss  0.871222, Time  0.241252
2021-09-16 05:17:38.462480 : Epoch  5, Batch   1195, Loss  0.881520, Average Loss  0.871894, Time  0.277271
2021-09-16 05:17:40.680849 : Epoch  3, Batch    721, Loss  0.891030, Average Loss  0.871273, Time  0.240352
2021-09-16 05:17:41.484404 : Epoch  5, Batch   1196, Loss  0.867896, Average Loss  0.871885, Time  0.266422
2021-09-16 05:17:43.272663 : Epoch  3, Batch    722, Loss  0.869436, Average Loss  0.871241, Time  0.241676
2021-09-16 05:17:44.481259 : Epoch  5, Batch   1197, Loss  0.881429, Average Loss  0.871934, Time  0.265792
2021-09-16 05:17:45.863347 : Epoch  3, Batch    723, Loss  0.863836, Average Loss  0.871100, Time  0.240093
2021-09-16 05:17:47.479854 : Epoch  5, Batch   1198, Loss  0.890176, Average Loss  0.871999, Time  0.266726
2021-09-16 05:17:48.452912 : Epoch  3, Batch    724, Loss  0.871592, Average Loss  0.871126, Time  0.240531
2021-09-16 05:17:50.477857 : Epoch  5, Batch   1199, Loss  0.862877, Average Loss  0.871937, Time  0.265377
2021-09-16 05:17:51.045875 : Epoch  3, Batch    725, Loss  0.879592, Average Loss  0.871265, Time  0.243119
2021-09-16 05:17:53.498681 : Epoch  5, Batch   1200, Loss  0.868257, Average Loss  0.871875, Time  0.267467
2021-09-16 05:17:53.636960 : Epoch  3, Batch    726, Loss  0.857542, Average Loss  0.871239, Time  0.240309
2021-09-16 05:17:56.213043 : Epoch  3, Batch    727, Loss  0.869434, Average Loss  0.871270, Time  0.240094
2021-09-16 05:17:56.549105 : Epoch  5, Batch   1201, Loss  0.846363, Average Loss  0.871696, Time  0.266015
2021-09-16 05:17:58.811895 : Epoch  3, Batch    728, Loss  0.891908, Average Loss  0.871408, Time  0.240453
2021-09-16 05:17:59.534762 : Epoch  5, Batch   1202, Loss  0.859874, Average Loss  0.871727, Time  0.265711
2021-09-16 05:18:01.405304 : Epoch  3, Batch    729, Loss  0.881013, Average Loss  0.871532, Time  0.240366
2021-09-16 05:18:02.542545 : Epoch  5, Batch   1203, Loss  0.870251, Average Loss  0.871749, Time  0.267122
2021-09-16 05:18:03.998411 : Epoch  3, Batch    730, Loss  0.890269, Average Loss  0.871643, Time  0.241459
2021-09-16 05:18:05.543976 : Epoch  5, Batch   1204, Loss  0.855242, Average Loss  0.871734, Time  0.266648
2021-09-16 05:18:06.599455 : Epoch  3, Batch    731, Loss  0.860229, Average Loss  0.871617, Time  0.241539
2021-09-16 05:18:08.595984 : Epoch  5, Batch   1205, Loss  0.881782, Average Loss  0.871785, Time  0.266904
2021-09-16 05:18:09.195170 : Epoch  3, Batch    732, Loss  0.876453, Average Loss  0.871678, Time  0.241369
2021-09-16 05:18:11.607157 : Epoch  5, Batch   1206, Loss  0.873494, Average Loss  0.871652, Time  0.266349
2021-09-16 05:18:11.779911 : Epoch  3, Batch    733, Loss  0.867100, Average Loss  0.871705, Time  0.240088
2021-09-16 05:18:14.352973 : Epoch  3, Batch    734, Loss  0.850461, Average Loss  0.871563, Time  0.241431
2021-09-16 05:18:14.649426 : Epoch  5, Batch   1207, Loss  0.846156, Average Loss  0.871504, Time  0.268972
2021-09-16 05:18:16.937509 : Epoch  3, Batch    735, Loss  0.862674, Average Loss  0.871487, Time  0.240818
2021-09-16 05:18:17.695304 : Epoch  5, Batch   1208, Loss  0.880921, Average Loss  0.871673, Time  0.265778
2021-09-16 05:18:19.521689 : Epoch  3, Batch    736, Loss  0.869523, Average Loss  0.871397, Time  0.241708
2021-09-16 05:18:20.681098 : Epoch  5, Batch   1209, Loss  0.858189, Average Loss  0.871556, Time  0.265062
2021-09-16 05:18:22.113868 : Epoch  3, Batch    737, Loss  0.847761, Average Loss  0.871356, Time  0.240394
2021-09-16 05:18:23.719604 : Epoch  5, Batch   1210, Loss  0.871180, Average Loss  0.871533, Time  0.279423
2021-09-16 05:18:24.694348 : Epoch  3, Batch    738, Loss  0.876749, Average Loss  0.871501, Time  0.241196
2021-09-16 05:18:26.708508 : Epoch  5, Batch   1211, Loss  0.878660, Average Loss  0.871585, Time  0.266108
2021-09-16 05:18:27.277185 : Epoch  3, Batch    739, Loss  0.870949, Average Loss  0.871451, Time  0.240845
2021-09-16 05:18:29.702011 : Epoch  5, Batch   1212, Loss  0.867109, Average Loss  0.871651, Time  0.265586
2021-09-16 05:18:29.869305 : Epoch  3, Batch    740, Loss  0.867222, Average Loss  0.871509, Time  0.240765
2021-09-16 05:18:32.434176 : Epoch  3, Batch    741, Loss  0.888448, Average Loss  0.871619, Time  0.240499
2021-09-16 05:18:32.713020 : Epoch  5, Batch   1213, Loss  0.885089, Average Loss  0.871655, Time  0.265426
2021-09-16 05:18:35.029095 : Epoch  3, Batch    742, Loss  0.868377, Average Loss  0.871573, Time  0.240235
2021-09-16 05:18:35.767267 : Epoch  5, Batch   1214, Loss  0.877724, Average Loss  0.871718, Time  0.265957
2021-09-16 05:18:37.622239 : Epoch  3, Batch    743, Loss  0.860204, Average Loss  0.871512, Time  0.240938
2021-09-16 05:18:38.805371 : Epoch  5, Batch   1215, Loss  0.875957, Average Loss  0.871697, Time  0.265608
2021-09-16 05:18:40.208689 : Epoch  3, Batch    744, Loss  0.891961, Average Loss  0.871657, Time  0.239795
2021-09-16 05:18:41.830322 : Epoch  5, Batch   1216, Loss  0.878865, Average Loss  0.871728, Time  0.267581
2021-09-16 05:18:42.799554 : Epoch  3, Batch    745, Loss  0.883068, Average Loss  0.871728, Time  0.240129
2021-09-16 05:18:44.867087 : Epoch  5, Batch   1217, Loss  0.885913, Average Loss  0.871798, Time  0.266171
2021-09-16 05:18:45.382620 : Epoch  3, Batch    746, Loss  0.907169, Average Loss  0.871941, Time  0.240215
2021-09-16 05:18:47.862627 : Epoch  5, Batch   1218, Loss  0.864614, Average Loss  0.871881, Time  0.264894
2021-09-16 05:18:47.949441 : Epoch  3, Batch    747, Loss  0.861942, Average Loss  0.871864, Time  0.240368
2021-09-16 05:18:50.517821 : Epoch  3, Batch    748, Loss  0.883882, Average Loss  0.871940, Time  0.240417
2021-09-16 05:18:50.866112 : Epoch  5, Batch   1219, Loss  0.885567, Average Loss  0.871972, Time  0.264970
2021-09-16 05:18:53.108906 : Epoch  3, Batch    749, Loss  0.874954, Average Loss  0.871952, Time  0.241404
2021-09-16 05:18:53.847882 : Epoch  5, Batch   1220, Loss  0.876391, Average Loss  0.872009, Time  0.265246
2021-09-16 05:18:55.704426 : Epoch  3, Batch    750, Loss  0.885943, Average Loss  0.872036, Time  0.241365
2021-09-16 05:18:56.843412 : Epoch  5, Batch   1221, Loss  0.855921, Average Loss  0.871942, Time  0.267172
2021-09-16 05:18:58.292528 : Epoch  3, Batch    751, Loss  0.861844, Average Loss  0.871955, Time  0.241279
2021-09-16 05:18:59.845226 : Epoch  5, Batch   1222, Loss  0.879074, Average Loss  0.871956, Time  0.266237
2021-09-16 05:19:00.878642 : Epoch  3, Batch    752, Loss  0.879606, Average Loss  0.871990, Time  0.242434
2021-09-16 05:19:02.879104 : Epoch  5, Batch   1223, Loss  0.863187, Average Loss  0.871868, Time  0.266541
2021-09-16 05:19:03.472353 : Epoch  3, Batch    753, Loss  0.868808, Average Loss  0.872052, Time  0.241542
2021-09-16 05:19:05.904382 : Epoch  5, Batch   1224, Loss  0.867630, Average Loss  0.871919, Time  0.267316
2021-09-16 05:19:06.053773 : Epoch  3, Batch    754, Loss  0.860335, Average Loss  0.871904, Time  0.240182
2021-09-16 05:19:08.634464 : Epoch  3, Batch    755, Loss  0.881227, Average Loss  0.871896, Time  0.240496
2021-09-16 05:19:08.897145 : Epoch  5, Batch   1225, Loss  0.883745, Average Loss  0.872021, Time  0.276590
2021-09-16 05:19:11.220716 : Epoch  3, Batch    756, Loss  0.857243, Average Loss  0.871830, Time  0.240425
2021-09-16 05:19:11.892297 : Epoch  5, Batch   1226, Loss  0.847814, Average Loss  0.871834, Time  0.266127
2021-09-16 05:19:13.806441 : Epoch  3, Batch    757, Loss  0.881952, Average Loss  0.871865, Time  0.239780
2021-09-16 05:19:14.937222 : Epoch  5, Batch   1227, Loss  0.864961, Average Loss  0.871847, Time  0.265433
2021-09-16 05:19:16.395746 : Epoch  3, Batch    758, Loss  0.880866, Average Loss  0.871887, Time  0.241269
2021-09-16 05:19:17.942792 : Epoch  5, Batch   1228, Loss  0.856841, Average Loss  0.871704, Time  0.265509
2021-09-16 05:19:18.990902 : Epoch  3, Batch    759, Loss  0.874302, Average Loss  0.871852, Time  0.240530
2021-09-16 05:19:20.935923 : Epoch  5, Batch   1229, Loss  0.865720, Average Loss  0.871652, Time  0.265471
2021-09-16 05:19:21.568889 : Epoch  3, Batch    760, Loss  0.864351, Average Loss  0.871814, Time  0.240358
2021-09-16 05:19:23.930136 : Epoch  5, Batch   1230, Loss  0.861447, Average Loss  0.871598, Time  0.266118
2021-09-16 05:19:24.163632 : Epoch  3, Batch    761, Loss  0.862882, Average Loss  0.871689, Time  0.241537
2021-09-16 05:19:26.733636 : Epoch  3, Batch    762, Loss  0.873662, Average Loss  0.871717, Time  0.240947
2021-09-16 05:19:26.933388 : Epoch  5, Batch   1231, Loss  0.865858, Average Loss  0.871487, Time  0.264800
2021-09-16 05:19:29.329406 : Epoch  3, Batch    763, Loss  0.863800, Average Loss  0.871730, Time  0.240612
2021-09-16 05:19:29.942254 : Epoch  5, Batch   1232, Loss  0.861867, Average Loss  0.871480, Time  0.265247
2021-09-16 05:19:31.924706 : Epoch  3, Batch    764, Loss  0.858808, Average Loss  0.871631, Time  0.240341
2021-09-16 05:19:32.921413 : Epoch  5, Batch   1233, Loss  0.870452, Average Loss  0.871515, Time  0.265189
2021-09-16 05:19:34.392700 : Epoch  5, Batch   1234, Loss  0.846793, Average Loss  0.871394, Time  0.166764
2021-09-16 05:19:34.510436 : Epoch  3, Batch    765, Loss  0.865087, Average Loss  0.871719, Time  0.243580
2021-09-16 05:19:37.089440 : Epoch  3, Batch    766, Loss  0.876244, Average Loss  0.871637, Time  0.240689
2021-09-16 05:19:37.383330 : Epoch  5, Batch   1235, Loss  0.896823, Average Loss  0.871474, Time  0.265386
2021-09-16 05:19:39.678344 : Epoch  3, Batch    767, Loss  0.881976, Average Loss  0.871671, Time  0.240160
2021-09-16 05:19:40.372631 : Epoch  5, Batch   1236, Loss  0.877478, Average Loss  0.871473, Time  0.265501
2021-09-16 05:19:42.268414 : Epoch  3, Batch    768, Loss  0.881382, Average Loss  0.871674, Time  0.239881
2021-09-16 05:19:43.369612 : Epoch  5, Batch   1237, Loss  0.873713, Average Loss  0.871403, Time  0.266732
2021-09-16 05:19:44.865228 : Epoch  3, Batch    769, Loss  0.862736, Average Loss  0.871544, Time  0.240035
2021-09-16 05:19:46.377365 : Epoch  5, Batch   1238, Loss  0.848981, Average Loss  0.871188, Time  0.265878
2021-09-16 05:19:47.450695 : Epoch  3, Batch    770, Loss  0.857008, Average Loss  0.871604, Time  0.241124
2021-09-16 05:19:49.403628 : Epoch  5, Batch   1239, Loss  0.884586, Average Loss  0.871386, Time  0.265355
2021-09-16 05:19:50.034030 : Epoch  3, Batch    771, Loss  0.878461, Average Loss  0.871692, Time  0.240065
2021-09-16 05:19:52.394214 : Epoch  5, Batch   1240, Loss  0.861004, Average Loss  0.871346, Time  0.264702
2021-09-16 05:19:52.622246 : Epoch  3, Batch    772, Loss  0.878911, Average Loss  0.871749, Time  0.240066
2021-09-16 05:19:55.189844 : Epoch  3, Batch    773, Loss  0.884525, Average Loss  0.871796, Time  0.240039
2021-09-16 05:19:55.401527 : Epoch  5, Batch   1241, Loss  0.861916, Average Loss  0.871297, Time  0.274539
2021-09-16 05:19:57.769679 : Epoch  3, Batch    774, Loss  0.863291, Average Loss  0.871688, Time  0.239892
2021-09-16 05:19:58.393618 : Epoch  5, Batch   1242, Loss  0.869410, Average Loss  0.871283, Time  0.267417
2021-09-16 05:20:00.362906 : Epoch  3, Batch    775, Loss  0.862287, Average Loss  0.871683, Time  0.240329
2021-09-16 05:20:01.422263 : Epoch  5, Batch   1243, Loss  0.844138, Average Loss  0.871103, Time  0.265185
2021-09-16 05:20:02.953770 : Epoch  3, Batch    776, Loss  0.884666, Average Loss  0.871761, Time  0.241261
2021-09-16 05:20:04.413705 : Epoch  5, Batch   1244, Loss  0.861889, Average Loss  0.871110, Time  0.266639
2021-09-16 05:20:05.540101 : Epoch  3, Batch    777, Loss  0.857535, Average Loss  0.871665, Time  0.241123
2021-09-16 05:20:07.430615 : Epoch  5, Batch   1245, Loss  0.862633, Average Loss  0.871104, Time  0.267270
2021-09-16 05:20:08.138962 : Epoch  3, Batch    778, Loss  0.891494, Average Loss  0.871727, Time  0.240283
2021-09-16 05:20:10.464696 : Epoch  5, Batch   1246, Loss  0.857508, Average Loss  0.871088, Time  0.265782
2021-09-16 05:20:10.729375 : Epoch  3, Batch    779, Loss  0.880626, Average Loss  0.871739, Time  0.242606
2021-09-16 05:20:13.299258 : Epoch  3, Batch    780, Loss  0.877174, Average Loss  0.871706, Time  0.240875
2021-09-16 05:20:13.465201 : Epoch  5, Batch   1247, Loss  0.882171, Average Loss  0.871232, Time  0.265134
2021-09-16 05:20:15.892126 : Epoch  3, Batch    781, Loss  0.856857, Average Loss  0.871664, Time  0.240075
2021-09-16 05:20:16.447288 : Epoch  5, Batch   1248, Loss  0.880249, Average Loss  0.871229, Time  0.265852
2021-09-16 05:20:18.481141 : Epoch  3, Batch    782, Loss  0.870048, Average Loss  0.871672, Time  0.241193
2021-09-16 05:20:19.450503 : Epoch  5, Batch   1249, Loss  0.867014, Average Loss  0.871199, Time  0.265994
2021-09-16 05:20:21.098089 : Epoch  3, Batch    783, Loss  0.865803, Average Loss  0.871661, Time  0.240165
2021-09-16 05:20:22.458090 : Epoch  5, Batch   1250, Loss  0.876987, Average Loss  0.871260, Time  0.265588
2021-09-16 05:20:23.685982 : Epoch  3, Batch    784, Loss  0.884306, Average Loss  0.871757, Time  0.240086
2021-09-16 05:20:25.460364 : Epoch  5, Batch   1251, Loss  0.876079, Average Loss  0.871215, Time  0.266074
2021-09-16 05:20:26.269679 : Epoch  3, Batch    785, Loss  0.858991, Average Loss  0.871700, Time  0.239987
2021-09-16 05:20:28.462684 : Epoch  5, Batch   1252, Loss  0.873085, Average Loss  0.871219, Time  0.265611
2021-09-16 05:20:28.857124 : Epoch  3, Batch    786, Loss  0.851172, Average Loss  0.871628, Time  0.240188
2021-09-16 05:20:31.441685 : Epoch  3, Batch    787, Loss  0.849816, Average Loss  0.871487, Time  0.239910
2021-09-16 05:20:31.469282 : Epoch  5, Batch   1253, Loss  0.858772, Average Loss  0.871101, Time  0.265730
2021-09-16 05:20:34.027911 : Epoch  3, Batch    788, Loss  0.869686, Average Loss  0.871622, Time  0.242019
2021-09-16 05:20:34.448711 : Epoch  5, Batch   1254, Loss  0.866112, Average Loss  0.871131, Time  0.265628
2021-09-16 05:20:37.446743 : Epoch  5, Batch   1255, Loss  0.873567, Average Loss  0.871025, Time  0.266442
2021-09-16 05:20:40.490704 : Epoch  5, Batch   1256, Loss  0.879821, Average Loss  0.870877, Time  0.276409
2021-09-16 05:20:43.474781 : Epoch  5, Batch   1257, Loss  0.862651, Average Loss  0.870891, Time  0.265302
2021-09-16 05:20:46.469337 : Epoch  5, Batch   1258, Loss  0.858433, Average Loss  0.870820, Time  0.266793
2021-09-16 05:20:49.485226 : Epoch  5, Batch   1259, Loss  0.862705, Average Loss  0.870786, Time  0.266275
2021-09-16 05:20:52.506055 : Epoch  5, Batch   1260, Loss  0.872274, Average Loss  0.870872, Time  0.266655
2021-09-16 05:20:55.520353 : Epoch  5, Batch   1261, Loss  0.878868, Average Loss  0.870957, Time  0.266106
2021-09-16 05:20:58.519535 : Epoch  5, Batch   1262, Loss  0.844935, Average Loss  0.870778, Time  0.265909
2021-09-16 05:21:01.483688 : Epoch  5, Batch   1263, Loss  0.856981, Average Loss  0.870686, Time  0.265420
2021-09-16 05:21:04.477618 : Epoch  5, Batch   1264, Loss  0.891693, Average Loss  0.870764, Time  0.267475
2021-09-16 05:21:07.485466 : Epoch  5, Batch   1265, Loss  0.869304, Average Loss  0.870859, Time  0.265867
2021-09-16 05:21:10.478437 : Epoch  5, Batch   1266, Loss  0.871799, Average Loss  0.870818, Time  0.265770
2021-09-16 05:21:13.470620 : Epoch  5, Batch   1267, Loss  0.869097, Average Loss  0.870706, Time  0.266075
2021-09-16 05:21:16.475380 : Epoch  5, Batch   1268, Loss  0.858510, Average Loss  0.870593, Time  0.266074
2021-09-16 05:21:19.492327 : Epoch  5, Batch   1269, Loss  0.861885, Average Loss  0.870470, Time  0.266300
2021-09-16 05:21:22.496019 : Epoch  5, Batch   1270, Loss  0.873385, Average Loss  0.870479, Time  0.265393
2021-09-16 05:21:25.497182 : Epoch  5, Batch   1271, Loss  0.864586, Average Loss  0.870479, Time  0.270787
2021-09-16 05:21:28.487445 : Epoch  5, Batch   1272, Loss  0.882319, Average Loss  0.870528, Time  0.265122
2021-09-16 05:21:31.475396 : Epoch  5, Batch   1273, Loss  0.863448, Average Loss  0.870590, Time  0.264858
2021-09-16 05:21:34.466035 : Epoch  5, Batch   1274, Loss  0.863894, Average Loss  0.870630, Time  0.265271
2021-09-16 05:21:37.487267 : Epoch  5, Batch   1275, Loss  0.872402, Average Loss  0.870557, Time  0.266120
2021-09-16 05:21:40.480133 : Epoch  5, Batch   1276, Loss  0.878902, Average Loss  0.870624, Time  0.265787
2021-09-16 05:24:35.934772 : CheckPoint: Validation Loss  0.00031072, Best Loss  0.00029226
2021-09-16 05:24:38.551872 : Epoch  3, Batch    789, Loss  0.880288, Average Loss  0.871679, Time  0.266244
2021-09-16 05:24:41.152304 : Epoch  3, Batch    790, Loss  0.855848, Average Loss  0.871626, Time  0.243030
2021-09-16 05:24:43.783873 : Epoch  3, Batch    791, Loss  0.882100, Average Loss  0.871700, Time  0.239604
2021-09-16 05:24:46.359249 : Epoch  3, Batch    792, Loss  0.881797, Average Loss  0.871870, Time  0.240610
2021-09-16 05:24:48.945240 : Epoch  3, Batch    793, Loss  0.878033, Average Loss  0.871966, Time  0.240615
2021-09-16 05:24:51.539019 : Epoch  3, Batch    794, Loss  0.859468, Average Loss  0.871939, Time  0.241233
2021-09-16 05:24:54.165144 : Epoch  3, Batch    795, Loss  0.885268, Average Loss  0.872077, Time  0.240606
2021-09-16 05:24:56.767467 : Epoch  3, Batch    796, Loss  0.868724, Average Loss  0.872043, Time  0.240959
2021-09-16 05:24:59.356844 : Epoch  3, Batch    797, Loss  0.859437, Average Loss  0.871920, Time  0.240175
2021-09-16 05:25:01.944389 : Epoch  3, Batch    798, Loss  0.876388, Average Loss  0.871982, Time  0.240156
2021-09-16 05:25:04.525860 : Epoch  3, Batch    799, Loss  0.867520, Average Loss  0.871981, Time  0.240009
2021-09-16 05:25:07.104821 : Epoch  3, Batch    800, Loss  0.867632, Average Loss  0.871964, Time  0.246134
2021-09-16 05:25:09.709223 : Epoch  3, Batch    801, Loss  0.884248, Average Loss  0.872028, Time  0.240002
2021-09-16 05:25:12.286416 : Epoch  3, Batch    802, Loss  0.843031, Average Loss  0.871868, Time  0.240080
2021-09-16 05:25:14.874112 : Epoch  3, Batch    803, Loss  0.878105, Average Loss  0.871967, Time  0.240342
2021-09-16 05:25:17.448348 : Epoch  3, Batch    804, Loss  0.870231, Average Loss  0.871889, Time  0.241108
2021-09-16 05:25:20.036321 : Epoch  3, Batch    805, Loss  0.856458, Average Loss  0.871803, Time  0.240517
2021-09-16 05:25:22.613492 : Epoch  3, Batch    806, Loss  0.878312, Average Loss  0.871834, Time  0.242028
2021-09-16 05:25:25.192681 : Epoch  3, Batch    807, Loss  0.871341, Average Loss  0.871794, Time  0.239826
2021-09-16 05:25:27.775855 : Epoch  3, Batch    808, Loss  0.863532, Average Loss  0.871704, Time  0.241544
2021-09-16 05:25:30.359935 : Epoch  3, Batch    809, Loss  0.883934, Average Loss  0.871793, Time  0.241522
2021-09-16 05:25:32.935721 : Epoch  3, Batch    810, Loss  0.892334, Average Loss  0.871868, Time  0.240136
2021-09-16 05:25:35.512398 : Epoch  3, Batch    811, Loss  0.878928, Average Loss  0.871872, Time  0.240119
2021-09-16 05:25:38.097844 : Epoch  3, Batch    812, Loss  0.870682, Average Loss  0.871851, Time  0.240337
2021-09-16 05:25:40.687020 : Epoch  3, Batch    813, Loss  0.870440, Average Loss  0.871803, Time  0.240399
2021-09-16 05:25:43.289334 : Epoch  3, Batch    814, Loss  0.866843, Average Loss  0.871877, Time  0.242585
2021-09-16 05:25:45.872593 : Epoch  3, Batch    815, Loss  0.870944, Average Loss  0.871906, Time  0.242351
2021-09-16 05:25:48.453787 : Epoch  3, Batch    816, Loss  0.859956, Average Loss  0.871839, Time  0.242068
2021-09-16 05:25:51.034849 : Epoch  3, Batch    817, Loss  0.854732, Average Loss  0.871708, Time  0.241296
2021-09-16 05:25:53.619344 : Epoch  3, Batch    818, Loss  0.859644, Average Loss  0.871633, Time  0.241242
2021-09-16 05:25:56.214823 : Epoch  3, Batch    819, Loss  0.870037, Average Loss  0.871661, Time  0.241736
2021-09-16 05:25:58.801777 : Epoch  3, Batch    820, Loss  0.884869, Average Loss  0.871737, Time  0.241181
2021-09-16 05:26:01.392120 : Epoch  3, Batch    821, Loss  0.857844, Average Loss  0.871686, Time  0.240866
2021-09-16 05:26:03.970611 : Epoch  3, Batch    822, Loss  0.865183, Average Loss  0.871696, Time  0.240899
2021-09-16 05:26:06.548911 : Epoch  3, Batch    823, Loss  0.871433, Average Loss  0.871684, Time  0.240290
2021-09-16 05:26:09.129347 : Epoch  3, Batch    824, Loss  0.887391, Average Loss  0.871739, Time  0.240077
2021-09-16 05:26:11.705267 : Epoch  3, Batch    825, Loss  0.885084, Average Loss  0.871761, Time  0.240118
2021-09-16 05:26:14.282419 : Epoch  3, Batch    826, Loss  0.859317, Average Loss  0.871569, Time  0.240254
2021-09-16 05:26:16.860230 : Epoch  3, Batch    827, Loss  0.863778, Average Loss  0.871513, Time  0.240351
2021-09-16 05:26:19.448870 : Epoch  3, Batch    828, Loss  0.873854, Average Loss  0.871565, Time  0.241250
2021-09-16 05:26:20.018612 : CheckPoint: Validation Loss  0.00030678, Best Loss  0.00029379
2021-09-16 05:26:22.028001 : Epoch  3, Batch    829, Loss  0.868932, Average Loss  0.871566, Time  0.242075
2021-09-16 05:26:23.031413 : Epoch  5, Batch   1277, Loss  0.883197, Average Loss  0.870709, Time  0.267822
2021-09-16 05:26:24.634451 : Epoch  3, Batch    830, Loss  0.856273, Average Loss  0.871417, Time  0.240067
2021-09-16 05:26:26.032714 : Epoch  5, Batch   1278, Loss  0.869690, Average Loss  0.870737, Time  0.264688
2021-09-16 05:26:27.217128 : Epoch  3, Batch    831, Loss  0.864019, Average Loss  0.871339, Time  0.240522
2021-09-16 05:26:29.021559 : Epoch  5, Batch   1279, Loss  0.869934, Average Loss  0.870676, Time  0.265098
2021-09-16 05:26:29.799825 : Epoch  3, Batch    832, Loss  0.877238, Average Loss  0.871253, Time  0.241439
2021-09-16 05:26:32.023758 : Epoch  5, Batch   1280, Loss  0.875170, Average Loss  0.870599, Time  0.264804
2021-09-16 05:26:32.382934 : Epoch  3, Batch    833, Loss  0.878560, Average Loss  0.871271, Time  0.241345
2021-09-16 05:26:34.954044 : Epoch  3, Batch    834, Loss  0.878568, Average Loss  0.871318, Time  0.240861
2021-09-16 05:26:35.039842 : Epoch  5, Batch   1281, Loss  0.875080, Average Loss  0.870696, Time  0.266965
2021-09-16 05:26:37.545749 : Epoch  3, Batch    835, Loss  0.859797, Average Loss  0.871329, Time  0.240306
2021-09-16 05:26:38.041422 : Epoch  5, Batch   1282, Loss  0.877108, Average Loss  0.870707, Time  0.265152
2021-09-16 05:26:40.125965 : Epoch  3, Batch    836, Loss  0.881688, Average Loss  0.871358, Time  0.240331
2021-09-16 05:26:41.013982 : Epoch  5, Batch   1283, Loss  0.880536, Average Loss  0.870729, Time  0.265200
2021-09-16 05:26:42.729713 : Epoch  3, Batch    837, Loss  0.868162, Average Loss  0.871317, Time  0.241810
2021-09-16 05:26:44.001566 : Epoch  5, Batch   1284, Loss  0.858582, Average Loss  0.870748, Time  0.266595
2021-09-16 05:26:45.311120 : Epoch  3, Batch    838, Loss  0.893311, Average Loss  0.871407, Time  0.241099
2021-09-16 05:26:46.982055 : Epoch  5, Batch   1285, Loss  0.884347, Average Loss  0.870744, Time  0.265015
2021-09-16 05:26:47.897484 : Epoch  3, Batch    839, Loss  0.889130, Average Loss  0.871492, Time  0.241140
2021-09-16 05:26:49.984986 : Epoch  5, Batch   1286, Loss  0.864534, Average Loss  0.870720, Time  0.278010
2021-09-16 05:26:50.486734 : Epoch  3, Batch    840, Loss  0.872334, Average Loss  0.871429, Time  0.241875
2021-09-16 05:26:52.995218 : Epoch  5, Batch   1287, Loss  0.879700, Average Loss  0.870708, Time  0.265557
2021-09-16 05:26:53.076141 : Epoch  3, Batch    841, Loss  0.880723, Average Loss  0.871302, Time  0.241085
2021-09-16 05:26:55.650441 : Epoch  3, Batch    842, Loss  0.873477, Average Loss  0.871314, Time  0.240953
2021-09-16 05:26:56.013265 : Epoch  5, Batch   1288, Loss  0.871274, Average Loss  0.870749, Time  0.265976
2021-09-16 05:26:58.242456 : Epoch  3, Batch    843, Loss  0.884337, Average Loss  0.871446, Time  0.240844
2021-09-16 05:26:59.003519 : Epoch  5, Batch   1289, Loss  0.865150, Average Loss  0.870754, Time  0.265329
2021-09-16 05:27:00.833218 : Epoch  3, Batch    844, Loss  0.892009, Average Loss  0.871595, Time  0.241288
2021-09-16 05:27:02.006108 : Epoch  5, Batch   1290, Loss  0.838051, Average Loss  0.870591, Time  0.266147
2021-09-16 05:27:03.417457 : Epoch  3, Batch    845, Loss  0.856478, Average Loss  0.871531, Time  0.240305
2021-09-16 05:27:05.013191 : Epoch  5, Batch   1291, Loss  0.879722, Average Loss  0.870616, Time  0.265393
2021-09-16 05:27:05.999384 : Epoch  3, Batch    846, Loss  0.890558, Average Loss  0.871524, Time  0.241212
2021-09-16 05:27:08.010091 : Epoch  5, Batch   1292, Loss  0.867052, Average Loss  0.870660, Time  0.265048
2021-09-16 05:27:08.580396 : Epoch  3, Batch    847, Loss  0.853778, Average Loss  0.871518, Time  0.240541
2021-09-16 05:27:11.002197 : Epoch  5, Batch   1293, Loss  0.850519, Average Loss  0.870588, Time  0.265404
2021-09-16 05:27:11.160922 : Epoch  3, Batch    848, Loss  0.875788, Average Loss  0.871666, Time  0.241511
2021-09-16 05:27:13.725452 : Epoch  3, Batch    849, Loss  0.864799, Average Loss  0.871667, Time  0.240247
2021-09-16 05:27:14.028552 : Epoch  5, Batch   1294, Loss  0.868765, Average Loss  0.870546, Time  0.265788
2021-09-16 05:27:16.301836 : Epoch  3, Batch    850, Loss  0.856442, Average Loss  0.871537, Time  0.240270
2021-09-16 05:27:17.058778 : Epoch  5, Batch   1295, Loss  0.854818, Average Loss  0.870466, Time  0.266486
2021-09-16 05:27:18.878778 : Epoch  3, Batch    851, Loss  0.876342, Average Loss  0.871473, Time  0.239998
2021-09-16 05:27:20.075851 : Epoch  5, Batch   1296, Loss  0.868546, Average Loss  0.870378, Time  0.266917
2021-09-16 05:27:21.469812 : Epoch  3, Batch    852, Loss  0.874370, Average Loss  0.871513, Time  0.240609
2021-09-16 05:27:23.098846 : Epoch  5, Batch   1297, Loss  0.866901, Average Loss  0.870272, Time  0.265070
2021-09-16 05:27:24.058127 : Epoch  3, Batch    853, Loss  0.870668, Average Loss  0.871624, Time  0.239988
2021-09-16 05:27:26.097529 : Epoch  5, Batch   1298, Loss  0.855866, Average Loss  0.870146, Time  0.266638
2021-09-16 05:27:26.635587 : Epoch  3, Batch    854, Loss  0.877318, Average Loss  0.871754, Time  0.241754
2021-09-16 05:27:29.094175 : Epoch  5, Batch   1299, Loss  0.870612, Average Loss  0.870115, Time  0.263517
2021-09-16 05:27:29.221944 : Epoch  3, Batch    855, Loss  0.874467, Average Loss  0.871753, Time  0.241368
2021-09-16 05:27:31.800956 : Epoch  3, Batch    856, Loss  0.866709, Average Loss  0.871754, Time  0.240090
2021-09-16 05:27:32.065403 : Epoch  5, Batch   1300, Loss  0.859556, Average Loss  0.870004, Time  0.264513
2021-09-16 05:27:34.390031 : Epoch  3, Batch    857, Loss  0.869838, Average Loss  0.871799, Time  0.240738
2021-09-16 05:27:35.054379 : Epoch  5, Batch   1301, Loss  0.843151, Average Loss  0.869797, Time  0.277469
2021-09-16 05:27:36.970852 : Epoch  3, Batch    858, Loss  0.862063, Average Loss  0.871619, Time  0.240983
2021-09-16 05:27:38.061528 : Epoch  5, Batch   1302, Loss  0.879525, Average Loss  0.869840, Time  0.268590
2021-09-16 05:27:39.551179 : Epoch  3, Batch    859, Loss  0.883602, Average Loss  0.871703, Time  0.240910
2021-09-16 05:27:41.077201 : Epoch  5, Batch   1303, Loss  0.859726, Average Loss  0.869808, Time  0.266900
2021-09-16 05:27:42.135114 : Epoch  3, Batch    860, Loss  0.886829, Average Loss  0.871961, Time  0.241513
2021-09-16 05:27:44.081556 : Epoch  5, Batch   1304, Loss  0.851040, Average Loss  0.869771, Time  0.266827
2021-09-16 05:27:44.739930 : Epoch  3, Batch    861, Loss  0.863856, Average Loss  0.871992, Time  0.240315
2021-09-16 05:27:47.081193 : Epoch  5, Batch   1305, Loss  0.852738, Average Loss  0.869739, Time  0.266924
2021-09-16 05:27:47.317063 : Epoch  3, Batch    862, Loss  0.863838, Average Loss  0.871958, Time  0.241601
2021-09-16 05:27:49.892387 : Epoch  3, Batch    863, Loss  0.839945, Average Loss  0.871720, Time  0.242118
2021-09-16 05:27:50.101540 : Epoch  5, Batch   1306, Loss  0.865986, Average Loss  0.869854, Time  0.266295
2021-09-16 05:27:52.471816 : Epoch  3, Batch    864, Loss  0.886413, Average Loss  0.871631, Time  0.240763
2021-09-16 05:27:53.097292 : Epoch  5, Batch   1307, Loss  0.848846, Average Loss  0.869770, Time  0.265970
2021-09-16 05:27:55.057937 : Epoch  3, Batch    865, Loss  0.859814, Average Loss  0.871584, Time  0.241531
2021-09-16 05:27:56.120617 : Epoch  5, Batch   1308, Loss  0.851636, Average Loss  0.869663, Time  0.266196
2021-09-16 05:27:57.647946 : Epoch  3, Batch    866, Loss  0.862274, Average Loss  0.871517, Time  0.241768
2021-09-16 05:27:59.130100 : Epoch  5, Batch   1309, Loss  0.895032, Average Loss  0.869747, Time  0.265516
2021-09-16 05:28:00.237358 : Epoch  3, Batch    867, Loss  0.887324, Average Loss  0.871579, Time  0.241006
2021-09-16 05:28:02.136774 : Epoch  5, Batch   1310, Loss  0.857686, Average Loss  0.869624, Time  0.265509
2021-09-16 05:28:02.819619 : Epoch  3, Batch    868, Loss  0.876056, Average Loss  0.871680, Time  0.241388
2021-09-16 05:28:05.177545 : Epoch  5, Batch   1311, Loss  0.879011, Average Loss  0.869673, Time  0.265342
2021-09-16 05:28:05.403307 : Epoch  3, Batch    869, Loss  0.878357, Average Loss  0.871758, Time  0.239955
2021-09-16 05:28:07.978289 : Epoch  3, Batch    870, Loss  0.862105, Average Loss  0.871747, Time  0.241146
2021-09-16 05:28:08.176088 : Epoch  5, Batch   1312, Loss  0.881803, Average Loss  0.869786, Time  0.265335
2021-09-16 05:28:10.564852 : Epoch  3, Batch    871, Loss  0.861061, Average Loss  0.871742, Time  0.243057
2021-09-16 05:28:11.205209 : Epoch  5, Batch   1313, Loss  0.877744, Average Loss  0.869907, Time  0.265376
2021-09-16 05:28:13.143510 : Epoch  3, Batch    872, Loss  0.858312, Average Loss  0.871681, Time  0.239645
2021-09-16 05:28:14.217061 : Epoch  5, Batch   1314, Loss  0.871152, Average Loss  0.869881, Time  0.266765
2021-09-16 05:28:15.724394 : Epoch  3, Batch    873, Loss  0.870449, Average Loss  0.871606, Time  0.240675
2021-09-16 05:28:17.217015 : Epoch  5, Batch   1315, Loss  0.841212, Average Loss  0.869873, Time  0.266779
2021-09-16 05:28:18.313115 : Epoch  3, Batch    874, Loss  0.873987, Average Loss  0.871545, Time  0.241797
2021-09-16 05:28:20.240290 : Epoch  5, Batch   1316, Loss  0.879162, Average Loss  0.869881, Time  0.275879
2021-09-16 05:28:20.886280 : Epoch  3, Batch    875, Loss  0.868416, Average Loss  0.871597, Time  0.239792
2021-09-16 05:28:23.262324 : Epoch  5, Batch   1317, Loss  0.883957, Average Loss  0.869979, Time  0.265699
2021-09-16 05:28:23.480640 : Epoch  3, Batch    876, Loss  0.858475, Average Loss  0.871455, Time  0.239905
2021-09-16 05:28:26.061025 : Epoch  3, Batch    877, Loss  0.871202, Average Loss  0.871423, Time  0.240366
2021-09-16 05:28:26.286026 : Epoch  5, Batch   1318, Loss  0.858526, Average Loss  0.869863, Time  0.265147
2021-09-16 05:28:28.639248 : Epoch  3, Batch    878, Loss  0.884221, Average Loss  0.871539, Time  0.239632
2021-09-16 05:28:29.269323 : Epoch  5, Batch   1319, Loss  0.871426, Average Loss  0.869956, Time  0.265090
2021-09-16 05:28:31.220403 : Epoch  3, Batch    879, Loss  0.866832, Average Loss  0.871528, Time  0.239708
2021-09-16 05:28:32.276204 : Epoch  5, Batch   1320, Loss  0.865539, Average Loss  0.869861, Time  0.265822
2021-09-16 05:28:33.815852 : Epoch  3, Batch    880, Loss  0.867990, Average Loss  0.871451, Time  0.239977
2021-09-16 05:28:35.287410 : Epoch  5, Batch   1321, Loss  0.888495, Average Loss  0.869989, Time  0.266478
2021-09-16 05:28:36.400156 : Epoch  3, Batch    881, Loss  0.889217, Average Loss  0.871634, Time  0.241699
2021-09-16 05:28:38.324142 : Epoch  5, Batch   1322, Loss  0.855848, Average Loss  0.869943, Time  0.267686
2021-09-16 05:28:38.976049 : Epoch  3, Batch    882, Loss  0.882364, Average Loss  0.871661, Time  0.239901
2021-09-16 05:28:41.335842 : Epoch  5, Batch   1323, Loss  0.865310, Average Loss  0.869936, Time  0.266536
2021-09-16 05:28:41.550006 : Epoch  3, Batch    883, Loss  0.882945, Average Loss  0.871868, Time  0.240193
2021-09-16 05:28:44.122194 : Epoch  3, Batch    884, Loss  0.888348, Average Loss  0.871921, Time  0.241710
2021-09-16 05:28:44.356373 : Epoch  5, Batch   1324, Loss  0.862899, Average Loss  0.869892, Time  0.266490
2021-09-16 05:28:46.706053 : Epoch  3, Batch    885, Loss  0.871899, Average Loss  0.871933, Time  0.240214
2021-09-16 05:28:47.370686 : Epoch  5, Batch   1325, Loss  0.875187, Average Loss  0.869826, Time  0.265930
2021-09-16 05:28:49.301074 : Epoch  3, Batch    886, Loss  0.874678, Average Loss  0.871955, Time  0.242792
2021-09-16 05:28:50.359919 : Epoch  5, Batch   1326, Loss  0.856765, Average Loss  0.869787, Time  0.265604
2021-09-16 05:28:51.888095 : Epoch  3, Batch    887, Loss  0.869327, Average Loss  0.872005, Time  0.241025
2021-09-16 05:28:53.365625 : Epoch  5, Batch   1327, Loss  0.888812, Average Loss  0.869841, Time  0.265241
2021-09-16 05:28:54.470115 : Epoch  3, Batch    888, Loss  0.876207, Average Loss  0.871947, Time  0.240682
2021-09-16 05:28:56.368333 : Epoch  5, Batch   1328, Loss  0.878477, Average Loss  0.869822, Time  0.265613
2021-09-16 05:28:59.383211 : Epoch  5, Batch   1329, Loss  0.879383, Average Loss  0.869845, Time  0.266064
2021-09-16 05:29:02.412822 : Epoch  5, Batch   1330, Loss  0.868921, Average Loss  0.869786, Time  0.265278
2021-09-16 05:29:05.417215 : Epoch  5, Batch   1331, Loss  0.856610, Average Loss  0.869597, Time  0.273141
2021-09-16 05:29:08.441073 : Epoch  5, Batch   1332, Loss  0.870922, Average Loss  0.869567, Time  0.266521
2021-09-16 05:29:11.498886 : Epoch  5, Batch   1333, Loss  0.872510, Average Loss  0.869487, Time  0.267383
2021-09-16 05:29:14.505717 : Epoch  5, Batch   1334, Loss  0.869374, Average Loss  0.869480, Time  0.265089
2021-09-16 05:29:17.494116 : Epoch  5, Batch   1335, Loss  0.868210, Average Loss  0.869519, Time  0.265021
2021-09-16 05:29:20.516339 : Epoch  5, Batch   1336, Loss  0.865978, Average Loss  0.869497, Time  0.265133
2021-09-16 05:29:23.507269 : Epoch  5, Batch   1337, Loss  0.861107, Average Loss  0.869429, Time  0.266072
2021-09-16 05:29:26.531361 : Epoch  5, Batch   1338, Loss  0.866935, Average Loss  0.869387, Time  0.266572
2021-09-16 05:29:29.559179 : Epoch  5, Batch   1339, Loss  0.867144, Average Loss  0.869295, Time  0.264230
2021-09-16 05:29:32.579150 : Epoch  5, Batch   1340, Loss  0.834614, Average Loss  0.869133, Time  0.265503
2021-09-16 05:29:35.580511 : Epoch  5, Batch   1341, Loss  0.869257, Average Loss  0.869162, Time  0.265277
2021-09-16 05:29:38.577290 : Epoch  5, Batch   1342, Loss  0.866411, Average Loss  0.869071, Time  0.266819
2021-09-16 05:29:41.574816 : Epoch  5, Batch   1343, Loss  0.855339, Average Loss  0.869076, Time  0.266497
2021-09-16 05:29:44.575739 : Epoch  5, Batch   1344, Loss  0.867892, Average Loss  0.869168, Time  0.268886
2021-09-16 05:29:47.620972 : Epoch  5, Batch   1345, Loss  0.872765, Average Loss  0.869087, Time  0.265563
2021-09-16 05:29:50.632945 : Epoch  5, Batch   1346, Loss  0.855736, Average Loss  0.868938, Time  0.277801
2021-09-16 05:29:53.628950 : Epoch  5, Batch   1347, Loss  0.843657, Average Loss  0.868715, Time  0.265628
2021-09-16 05:29:56.640705 : Epoch  5, Batch   1348, Loss  0.878340, Average Loss  0.868741, Time  0.266298
2021-09-16 05:29:59.641750 : Epoch  5, Batch   1349, Loss  0.858609, Average Loss  0.868633, Time  0.265166
2021-09-16 05:30:02.675155 : Epoch  5, Batch   1350, Loss  0.862335, Average Loss  0.868693, Time  0.265990
2021-09-16 05:30:05.669357 : Epoch  5, Batch   1351, Loss  0.883306, Average Loss  0.868685, Time  0.265134
2021-09-16 05:30:08.660223 : Epoch  5, Batch   1352, Loss  0.871773, Average Loss  0.868738, Time  0.265201
2021-09-16 05:30:11.649575 : Epoch  5, Batch   1353, Loss  0.865685, Average Loss  0.868746, Time  0.265828
2021-09-16 05:30:14.649716 : Epoch  5, Batch   1354, Loss  0.872484, Average Loss  0.868788, Time  0.265847
2021-09-16 05:30:17.651788 : Epoch  5, Batch   1355, Loss  0.855016, Average Loss  0.868796, Time  0.265552
2021-09-16 05:30:20.661390 : Epoch  5, Batch   1356, Loss  0.873452, Average Loss  0.868848, Time  0.266381
2021-09-16 05:30:23.698662 : Epoch  5, Batch   1357, Loss  0.849190, Average Loss  0.868736, Time  0.266464
2021-09-16 05:30:26.749776 : Epoch  5, Batch   1358, Loss  0.879624, Average Loss  0.868850, Time  0.266894
2021-09-16 05:30:29.773458 : Epoch  5, Batch   1359, Loss  0.859605, Average Loss  0.868903, Time  0.265659
2021-09-16 05:30:32.769017 : Epoch  5, Batch   1360, Loss  0.886842, Average Loss  0.868984, Time  0.265644
2021-09-16 05:30:35.778905 : Epoch  5, Batch   1361, Loss  0.880512, Average Loss  0.869018, Time  0.275638
2021-09-16 05:30:38.771097 : Epoch  5, Batch   1362, Loss  0.885881, Average Loss  0.869134, Time  0.266912
2021-09-16 05:30:41.766401 : Epoch  5, Batch   1363, Loss  0.854414, Average Loss  0.869048, Time  0.266200
2021-09-16 05:30:44.776443 : Epoch  5, Batch   1364, Loss  0.869940, Average Loss  0.869038, Time  0.266315
2021-09-16 05:30:47.788968 : Epoch  5, Batch   1365, Loss  0.836439, Average Loss  0.868760, Time  0.265414
2021-09-16 05:30:50.781457 : Epoch  5, Batch   1366, Loss  0.890895, Average Loss  0.868952, Time  0.265448
2021-09-16 05:30:53.777380 : Epoch  5, Batch   1367, Loss  0.867339, Average Loss  0.868914, Time  0.266103
2021-09-16 05:30:56.761573 : Epoch  5, Batch   1368, Loss  0.865329, Average Loss  0.868830, Time  0.265508
2021-09-16 05:30:59.752038 : Epoch  5, Batch   1369, Loss  0.877268, Average Loss  0.868828, Time  0.264692
2021-09-16 05:31:02.723826 : Epoch  5, Batch   1370, Loss  0.861217, Average Loss  0.868807, Time  0.264838
2021-09-16 05:31:05.715929 : Epoch  5, Batch   1371, Loss  0.864965, Average Loss  0.868778, Time  0.265460
2021-09-16 05:31:08.720456 : Epoch  5, Batch   1372, Loss  0.856388, Average Loss  0.868658, Time  0.266040
2021-09-16 05:31:11.708347 : Epoch  5, Batch   1373, Loss  0.872764, Average Loss  0.868590, Time  0.264844
2021-09-16 05:31:14.699386 : Epoch  5, Batch   1374, Loss  0.886396, Average Loss  0.868624, Time  0.265871
2021-09-16 05:31:17.726357 : Epoch  5, Batch   1375, Loss  0.877894, Average Loss  0.868633, Time  0.265883
2021-09-16 05:31:20.751074 : Epoch  5, Batch   1376, Loss  0.868037, Average Loss  0.868575, Time  0.266913
2021-09-16 05:32:56.670489 : CheckPoint: Validation Loss  0.00030748, Best Loss  0.00029226
2021-09-16 05:32:59.289265 : Epoch  3, Batch    889, Loss  0.863787, Average Loss  0.871934, Time  0.274529
2021-09-16 05:33:01.869620 : Epoch  3, Batch    890, Loss  0.855902, Average Loss  0.871889, Time  0.246614
2021-09-16 05:33:04.447912 : Epoch  3, Batch    891, Loss  0.874784, Average Loss  0.871905, Time  0.239925
2021-09-16 05:33:07.033394 : Epoch  3, Batch    892, Loss  0.882606, Average Loss  0.871948, Time  0.239702
2021-09-16 05:33:09.656994 : Epoch  3, Batch    893, Loss  0.879562, Average Loss  0.872013, Time  0.239770
2021-09-16 05:33:12.238599 : Epoch  3, Batch    894, Loss  0.880921, Average Loss  0.872098, Time  0.239676
2021-09-16 05:33:14.814133 : Epoch  3, Batch    895, Loss  0.864825, Average Loss  0.872150, Time  0.240575
2021-09-16 05:33:17.408623 : Epoch  3, Batch    896, Loss  0.876448, Average Loss  0.872089, Time  0.239919
2021-09-16 05:33:19.992439 : Epoch  3, Batch    897, Loss  0.886372, Average Loss  0.872056, Time  0.240106
2021-09-16 05:33:22.583407 : Epoch  3, Batch    898, Loss  0.859474, Average Loss  0.871927, Time  0.241218
2021-09-16 05:33:25.163072 : Epoch  3, Batch    899, Loss  0.857252, Average Loss  0.871939, Time  0.244086
2021-09-16 05:33:27.768497 : Epoch  3, Batch    900, Loss  0.852995, Average Loss  0.871934, Time  0.243600
2021-09-16 05:33:30.342637 : Epoch  3, Batch    901, Loss  0.864874, Average Loss  0.871928, Time  0.240197
2021-09-16 05:33:32.919153 : Epoch  3, Batch    902, Loss  0.868362, Average Loss  0.871861, Time  0.240372
2021-09-16 05:33:35.495820 : Epoch  3, Batch    903, Loss  0.877797, Average Loss  0.871918, Time  0.242133
2021-09-16 05:33:38.074057 : Epoch  3, Batch    904, Loss  0.879298, Average Loss  0.871905, Time  0.242435
2021-09-16 05:33:40.661025 : Epoch  3, Batch    905, Loss  0.889825, Average Loss  0.871818, Time  0.241083
2021-09-16 05:33:43.239067 : Epoch  3, Batch    906, Loss  0.877209, Average Loss  0.871789, Time  0.240119
2021-09-16 05:33:45.818847 : Epoch  3, Batch    907, Loss  0.857698, Average Loss  0.871790, Time  0.240287
2021-09-16 05:33:48.405507 : Epoch  3, Batch    908, Loss  0.900158, Average Loss  0.871870, Time  0.239979
2021-09-16 05:33:50.981629 : Epoch  3, Batch    909, Loss  0.872586, Average Loss  0.871890, Time  0.241211
2021-09-16 05:33:53.584863 : Epoch  3, Batch    910, Loss  0.851978, Average Loss  0.871786, Time  0.240415
2021-09-16 05:33:56.167636 : Epoch  3, Batch    911, Loss  0.875495, Average Loss  0.871749, Time  0.239827
2021-09-16 05:33:58.752417 : Epoch  3, Batch    912, Loss  0.868060, Average Loss  0.871752, Time  0.240169
2021-09-16 05:34:01.336470 : Epoch  3, Batch    913, Loss  0.873096, Average Loss  0.871805, Time  0.239702
2021-09-16 05:34:03.911887 : Epoch  3, Batch    914, Loss  0.864938, Average Loss  0.871772, Time  0.240752
2021-09-16 05:34:06.487977 : Epoch  3, Batch    915, Loss  0.850473, Average Loss  0.871639, Time  0.240350
2021-09-16 05:34:09.066626 : Epoch  3, Batch    916, Loss  0.884254, Average Loss  0.871691, Time  0.239915
2021-09-16 05:34:11.645155 : Epoch  3, Batch    917, Loss  0.874858, Average Loss  0.871685, Time  0.240338
2021-09-16 05:34:14.230416 : Epoch  3, Batch    918, Loss  0.869950, Average Loss  0.871719, Time  0.240712
2021-09-16 05:34:16.807148 : Epoch  3, Batch    919, Loss  0.887192, Average Loss  0.871899, Time  0.240381
2021-09-16 05:34:19.387880 : Epoch  3, Batch    920, Loss  0.848464, Average Loss  0.871707, Time  0.242463
2021-09-16 05:34:21.969917 : Epoch  3, Batch    921, Loss  0.866763, Average Loss  0.871586, Time  0.241992
2021-09-16 05:34:24.546153 : Epoch  3, Batch    922, Loss  0.877803, Average Loss  0.871628, Time  0.240336
2021-09-16 05:34:27.135493 : Epoch  3, Batch    923, Loss  0.888928, Average Loss  0.871753, Time  0.240662
2021-09-16 05:34:29.730444 : Epoch  3, Batch    924, Loss  0.867690, Average Loss  0.871734, Time  0.241276
2021-09-16 05:34:32.310237 : Epoch  3, Batch    925, Loss  0.864227, Average Loss  0.871657, Time  0.241122
2021-09-16 05:34:34.881253 : Epoch  3, Batch    926, Loss  0.868671, Average Loss  0.871713, Time  0.239979
2021-09-16 05:34:36.149319 : Epoch  3, Batch    927, Loss  0.849563, Average Loss  0.871613, Time  0.143049
2021-09-16 05:34:38.728539 : Epoch  3, Batch    928, Loss  0.847688, Average Loss  0.871392, Time  0.242913
2021-09-16 05:34:41.302351 : Epoch  3, Batch    929, Loss  0.868374, Average Loss  0.871329, Time  0.240280
2021-09-16 05:34:43.877811 : Epoch  3, Batch    930, Loss  0.855338, Average Loss  0.871154, Time  0.240243
2021-09-16 05:34:46.469930 : Epoch  3, Batch    931, Loss  0.866960, Average Loss  0.871188, Time  0.240211
2021-09-16 05:34:49.045269 : Epoch  3, Batch    932, Loss  0.867662, Average Loss  0.871144, Time  0.239854
2021-09-16 05:34:51.620718 : Epoch  3, Batch    933, Loss  0.870237, Average Loss  0.871160, Time  0.239945
2021-09-16 05:34:54.202984 : Epoch  3, Batch    934, Loss  0.871438, Average Loss  0.871265, Time  0.240217
2021-09-16 05:34:56.784330 : Epoch  3, Batch    935, Loss  0.883174, Average Loss  0.871367, Time  0.239782
2021-09-16 05:34:59.366591 : Epoch  3, Batch    936, Loss  0.871957, Average Loss  0.871379, Time  0.240188
2021-09-16 05:35:01.948092 : Epoch  3, Batch    937, Loss  0.853710, Average Loss  0.871409, Time  0.240986
2021-09-16 05:35:04.553404 : Epoch  3, Batch    938, Loss  0.883274, Average Loss  0.871442, Time  0.240532
2021-09-16 05:35:07.148694 : Epoch  3, Batch    939, Loss  0.877883, Average Loss  0.871476, Time  0.240669
2021-09-16 05:35:09.718429 : Epoch  3, Batch    940, Loss  0.841697, Average Loss  0.871349, Time  0.239908
2021-09-16 05:35:12.299383 : Epoch  3, Batch    941, Loss  0.881756, Average Loss  0.871315, Time  0.240196
2021-09-16 05:35:14.882688 : Epoch  3, Batch    942, Loss  0.863815, Average Loss  0.871293, Time  0.240991
2021-09-16 05:35:17.451808 : Epoch  3, Batch    943, Loss  0.870220, Average Loss  0.871343, Time  0.240288
2021-09-16 05:35:20.037418 : Epoch  3, Batch    944, Loss  0.854355, Average Loss  0.871155, Time  0.241047
2021-09-16 05:35:22.615405 : Epoch  3, Batch    945, Loss  0.888068, Average Loss  0.871180, Time  0.240838
2021-09-16 05:35:25.196972 : Epoch  3, Batch    946, Loss  0.851951, Average Loss  0.870903, Time  0.240391
2021-09-16 05:35:27.780992 : Epoch  3, Batch    947, Loss  0.861621, Average Loss  0.870902, Time  0.240877
2021-09-16 05:35:30.367062 : Epoch  3, Batch    948, Loss  0.895211, Average Loss  0.870959, Time  0.242959
2021-09-16 05:35:32.950416 : Epoch  3, Batch    949, Loss  0.862346, Average Loss  0.870895, Time  0.241275
2021-09-16 05:35:35.531406 : Epoch  3, Batch    950, Loss  0.872530, Average Loss  0.870828, Time  0.243050
2021-09-16 05:35:38.116922 : Epoch  3, Batch    951, Loss  0.882142, Average Loss  0.870930, Time  0.240504
2021-09-16 05:35:40.703397 : Epoch  3, Batch    952, Loss  0.880490, Average Loss  0.870934, Time  0.240003
2021-09-16 05:35:43.278755 : Epoch  3, Batch    953, Loss  0.875968, Average Loss  0.870970, Time  0.239847
2021-09-16 05:35:45.854444 : Epoch  3, Batch    954, Loss  0.890210, Average Loss  0.871119, Time  0.239987
2021-09-16 05:35:48.469604 : Epoch  3, Batch    955, Loss  0.869184, Average Loss  0.871059, Time  0.240569
2021-09-16 05:35:51.047663 : Epoch  3, Batch    956, Loss  0.900380, Average Loss  0.871275, Time  0.239815
2021-09-16 05:35:53.627462 : Epoch  3, Batch    957, Loss  0.895259, Average Loss  0.871341, Time  0.240279
2021-09-16 05:35:56.297486 : Epoch  3, Batch    958, Loss  0.879122, Average Loss  0.871333, Time  0.240965
2021-09-16 05:35:58.873685 : Epoch  3, Batch    959, Loss  0.877613, Average Loss  0.871349, Time  0.240902
2021-09-16 05:36:00.022884 : CheckPoint: Validation Loss  0.00029295, Best Loss  0.00029295
2021-09-16 05:36:00.059172 : Best Model Updated
2021-09-16 05:36:01.452045 : Epoch  3, Batch    960, Loss  0.880559, Average Loss  0.871430, Time  0.240469
2021-09-16 05:36:03.835442 : Epoch  5, Batch   1377, Loss  0.874317, Average Loss  0.868555, Time  0.277988
2021-09-16 05:36:04.035543 : Epoch  3, Batch    961, Loss  0.881753, Average Loss  0.871525, Time  0.239940
2021-09-16 05:36:06.609046 : Epoch  3, Batch    962, Loss  0.892406, Average Loss  0.871618, Time  0.240788
2021-09-16 05:36:06.813384 : Epoch  5, Batch   1378, Loss  0.851981, Average Loss  0.868379, Time  0.264922
2021-09-16 05:36:09.200810 : Epoch  3, Batch    963, Loss  0.870076, Average Loss  0.871650, Time  0.240748
2021-09-16 05:36:09.800474 : Epoch  5, Batch   1379, Loss  0.884653, Average Loss  0.868483, Time  0.266281
2021-09-16 05:36:11.786830 : Epoch  3, Batch    964, Loss  0.867317, Average Loss  0.871692, Time  0.242985
2021-09-16 05:36:12.791444 : Epoch  5, Batch   1380, Loss  0.854404, Average Loss  0.868240, Time  0.266976
2021-09-16 05:36:14.368417 : Epoch  3, Batch    965, Loss  0.897552, Average Loss  0.871855, Time  0.240201
2021-09-16 05:36:15.775361 : Epoch  5, Batch   1381, Loss  0.867469, Average Loss  0.868189, Time  0.268541
2021-09-16 05:36:16.949213 : Epoch  3, Batch    966, Loss  0.870445, Average Loss  0.871826, Time  0.240033
2021-09-16 05:36:18.758126 : Epoch  5, Batch   1382, Loss  0.861679, Average Loss  0.868285, Time  0.265888
2021-09-16 05:36:19.529403 : Epoch  3, Batch    967, Loss  0.875542, Average Loss  0.871794, Time  0.240056
2021-09-16 05:36:21.744652 : Epoch  5, Batch   1383, Loss  0.863285, Average Loss  0.868289, Time  0.265353
2021-09-16 05:36:22.121718 : Epoch  3, Batch    968, Loss  0.876107, Average Loss  0.871767, Time  0.241476
2021-09-16 05:36:24.697996 : Epoch  3, Batch    969, Loss  0.860495, Average Loss  0.871756, Time  0.240229
2021-09-16 05:36:24.725230 : Epoch  5, Batch   1384, Loss  0.845988, Average Loss  0.868184, Time  0.266002
2021-09-16 05:36:27.285918 : Epoch  3, Batch    970, Loss  0.863537, Average Loss  0.871789, Time  0.241357
2021-09-16 05:36:27.713534 : Epoch  5, Batch   1385, Loss  0.856531, Average Loss  0.868227, Time  0.265152
2021-09-16 05:36:29.864240 : Epoch  3, Batch    971, Loss  0.896772, Average Loss  0.871880, Time  0.241153
2021-09-16 05:36:30.696138 : Epoch  5, Batch   1386, Loss  0.875051, Average Loss  0.868253, Time  0.266358
2021-09-16 05:36:32.450970 : Epoch  3, Batch    972, Loss  0.871165, Average Loss  0.871841, Time  0.242794
2021-09-16 05:36:33.669839 : Epoch  5, Batch   1387, Loss  0.864159, Average Loss  0.868237, Time  0.264732
2021-09-16 05:36:35.033236 : Epoch  3, Batch    973, Loss  0.872820, Average Loss  0.871783, Time  0.240133
2021-09-16 05:36:36.651227 : Epoch  5, Batch   1388, Loss  0.859964, Average Loss  0.868114, Time  0.265877
2021-09-16 05:36:37.622634 : Epoch  3, Batch    974, Loss  0.867549, Average Loss  0.871804, Time  0.240714
2021-09-16 05:36:39.650112 : Epoch  5, Batch   1389, Loss  0.868463, Average Loss  0.868084, Time  0.265974
2021-09-16 05:36:40.209132 : Epoch  3, Batch    975, Loss  0.877449, Average Loss  0.871880, Time  0.240321
2021-09-16 05:36:42.644952 : Epoch  5, Batch   1390, Loss  0.849144, Average Loss  0.867943, Time  0.266135
2021-09-16 05:36:42.789102 : Epoch  3, Batch    976, Loss  0.866914, Average Loss  0.871791, Time  0.240364
2021-09-16 05:36:45.357016 : Epoch  3, Batch    977, Loss  0.891308, Average Loss  0.871960, Time  0.239954
2021-09-16 05:36:45.643989 : Epoch  5, Batch   1391, Loss  0.864000, Average Loss  0.867837, Time  0.265334
2021-09-16 05:36:47.945837 : Epoch  3, Batch    978, Loss  0.891498, Average Loss  0.871960, Time  0.239921
2021-09-16 05:36:48.635077 : Epoch  5, Batch   1392, Loss  0.880359, Average Loss  0.867861, Time  0.275437
2021-09-16 05:36:50.529068 : Epoch  3, Batch    979, Loss  0.938223, Average Loss  0.872248, Time  0.240202
2021-09-16 05:36:51.641850 : Epoch  5, Batch   1393, Loss  0.879894, Average Loss  0.867871, Time  0.265267
2021-09-16 05:36:53.119875 : Epoch  3, Batch    980, Loss  0.886681, Average Loss  0.872296, Time  0.240313
2021-09-16 05:36:54.620847 : Epoch  5, Batch   1394, Loss  0.857750, Average Loss  0.867800, Time  0.266065
2021-09-16 05:36:55.719382 : Epoch  3, Batch    981, Loss  0.851265, Average Loss  0.872268, Time  0.240597
2021-09-16 05:36:57.608372 : Epoch  5, Batch   1395, Loss  0.880144, Average Loss  0.867793, Time  0.264946
2021-09-16 05:36:58.303864 : Epoch  3, Batch    982, Loss  0.851281, Average Loss  0.872174, Time  0.240343
2021-09-16 05:37:00.605394 : Epoch  5, Batch   1396, Loss  0.897457, Average Loss  0.867941, Time  0.265672
2021-09-16 05:37:00.895129 : Epoch  3, Batch    983, Loss  0.902945, Average Loss  0.872360, Time  0.240606
2021-09-16 05:37:03.481144 : Epoch  3, Batch    984, Loss  0.867717, Average Loss  0.872277, Time  0.240169
2021-09-16 05:37:03.584867 : Epoch  5, Batch   1397, Loss  0.861734, Average Loss  0.867842, Time  0.263908
2021-09-16 05:37:06.064015 : Epoch  3, Batch    985, Loss  0.882538, Average Loss  0.872394, Time  0.239836
2021-09-16 05:37:06.557976 : Epoch  5, Batch   1398, Loss  0.878594, Average Loss  0.867785, Time  0.265348
2021-09-16 05:37:08.654002 : Epoch  3, Batch    986, Loss  0.878862, Average Loss  0.872533, Time  0.240672
2021-09-16 05:37:09.590717 : Epoch  5, Batch   1399, Loss  0.868040, Average Loss  0.867810, Time  0.266291
2021-09-16 05:37:11.243838 : Epoch  3, Batch    987, Loss  0.881823, Average Loss  0.872693, Time  0.240232
2021-09-16 05:37:12.618044 : Epoch  5, Batch   1400, Loss  0.857534, Average Loss  0.867757, Time  0.267565
2021-09-16 05:37:13.836278 : Epoch  3, Batch    988, Loss  0.891029, Average Loss  0.872800, Time  0.240805
2021-09-16 05:37:15.619976 : Epoch  5, Batch   1401, Loss  0.883247, Average Loss  0.867941, Time  0.268057
2021-09-16 05:37:18.632761 : Epoch  5, Batch   1402, Loss  0.871721, Average Loss  0.868000, Time  0.265495
2021-09-16 05:37:21.648149 : Epoch  5, Batch   1403, Loss  0.875962, Average Loss  0.868029, Time  0.266579
2021-09-16 05:37:24.621268 : Epoch  5, Batch   1404, Loss  0.859542, Average Loss  0.868050, Time  0.265238
2021-09-16 05:37:27.632628 : Epoch  5, Batch   1405, Loss  0.872498, Average Loss  0.868004, Time  0.265367
2021-09-16 05:37:30.623878 : Epoch  5, Batch   1406, Loss  0.879836, Average Loss  0.868036, Time  0.265795
2021-09-16 05:37:33.643161 : Epoch  5, Batch   1407, Loss  0.860444, Average Loss  0.868107, Time  0.274171
2021-09-16 05:37:36.661323 : Epoch  5, Batch   1408, Loss  0.884322, Average Loss  0.868124, Time  0.265950
2021-09-16 05:37:39.668035 : Epoch  5, Batch   1409, Loss  0.858740, Average Loss  0.868127, Time  0.264962
2021-09-16 05:37:42.650382 : Epoch  5, Batch   1410, Loss  0.876215, Average Loss  0.868152, Time  0.266754
2021-09-16 05:37:45.638007 : Epoch  5, Batch   1411, Loss  0.884022, Average Loss  0.868179, Time  0.265816
2021-09-16 05:37:48.613497 : Epoch  5, Batch   1412, Loss  0.868395, Average Loss  0.868185, Time  0.267379
2021-09-16 05:37:51.608552 : Epoch  5, Batch   1413, Loss  0.864825, Average Loss  0.868084, Time  0.265395
2021-09-16 05:37:54.624666 : Epoch  5, Batch   1414, Loss  0.869850, Average Loss  0.868045, Time  0.265678
2021-09-16 05:37:57.608506 : Epoch  5, Batch   1415, Loss  0.857259, Average Loss  0.867951, Time  0.266034
2021-09-16 05:38:00.618635 : Epoch  5, Batch   1416, Loss  0.868501, Average Loss  0.867899, Time  0.265584
2021-09-16 05:38:03.605865 : Epoch  5, Batch   1417, Loss  0.865823, Average Loss  0.867799, Time  0.265249
2021-09-16 05:38:06.608148 : Epoch  5, Batch   1418, Loss  0.861643, Average Loss  0.867784, Time  0.266214
2021-09-16 05:38:09.636389 : Epoch  5, Batch   1419, Loss  0.858692, Average Loss  0.867650, Time  0.265004
2021-09-16 05:38:12.642449 : Epoch  5, Batch   1420, Loss  0.873301, Average Loss  0.867634, Time  0.265570
2021-09-16 05:38:15.626697 : Epoch  5, Batch   1421, Loss  0.864959, Average Loss  0.867679, Time  0.267076
2021-09-16 05:38:18.625339 : Epoch  5, Batch   1422, Loss  0.873091, Average Loss  0.867650, Time  0.277961
2021-09-16 05:38:21.607369 : Epoch  5, Batch   1423, Loss  0.875656, Average Loss  0.867712, Time  0.266119
2021-09-16 05:38:24.593455 : Epoch  5, Batch   1424, Loss  0.858938, Average Loss  0.867668, Time  0.267136
2021-09-16 05:38:27.574957 : Epoch  5, Batch   1425, Loss  0.863312, Average Loss  0.867566, Time  0.265826
2021-09-16 05:38:30.582318 : Epoch  5, Batch   1426, Loss  0.856216, Average Loss  0.867608, Time  0.266566
2021-09-16 05:38:33.574702 : Epoch  5, Batch   1427, Loss  0.863268, Average Loss  0.867600, Time  0.265082
2021-09-16 05:38:36.577325 : Epoch  5, Batch   1428, Loss  0.829532, Average Loss  0.867463, Time  0.264975
2021-09-16 05:38:39.588370 : Epoch  5, Batch   1429, Loss  0.861846, Average Loss  0.867444, Time  0.266046
2021-09-16 05:38:42.574997 : Epoch  5, Batch   1430, Loss  0.864264, Average Loss  0.867458, Time  0.265910
2021-09-16 05:38:45.546304 : Epoch  5, Batch   1431, Loss  0.857768, Average Loss  0.867418, Time  0.265403
2021-09-16 05:38:48.556110 : Epoch  5, Batch   1432, Loss  0.862465, Average Loss  0.867421, Time  0.266068
2021-09-16 05:38:51.572517 : Epoch  5, Batch   1433, Loss  0.877106, Average Loss  0.867454, Time  0.265469
2021-09-16 05:38:54.573742 : Epoch  5, Batch   1434, Loss  0.860331, Average Loss  0.867521, Time  0.265032
2021-09-16 05:38:57.536954 : Epoch  5, Batch   1435, Loss  0.858429, Average Loss  0.867329, Time  0.266917
2021-09-16 05:39:00.529580 : Epoch  5, Batch   1436, Loss  0.854532, Average Loss  0.867215, Time  0.265285
2021-09-16 05:39:03.537432 : Epoch  5, Batch   1437, Loss  0.860930, Average Loss  0.867151, Time  0.271691
2021-09-16 05:39:06.562045 : Epoch  5, Batch   1438, Loss  0.873536, Average Loss  0.867274, Time  0.265127
2021-09-16 05:39:09.524823 : Epoch  5, Batch   1439, Loss  0.865974, Average Loss  0.867181, Time  0.265414
2021-09-16 05:39:12.518563 : Epoch  5, Batch   1440, Loss  0.873646, Average Loss  0.867244, Time  0.267348
2021-09-16 05:39:15.547928 : Epoch  5, Batch   1441, Loss  0.861339, Average Loss  0.867241, Time  0.267622
2021-09-16 05:39:18.530698 : Epoch  5, Batch   1442, Loss  0.855611, Average Loss  0.867172, Time  0.265039
2021-09-16 05:39:21.516051 : Epoch  5, Batch   1443, Loss  0.844221, Average Loss  0.867172, Time  0.266381
2021-09-16 05:39:24.477025 : Epoch  5, Batch   1444, Loss  0.860808, Average Loss  0.867167, Time  0.265891
2021-09-16 05:39:27.456401 : Epoch  5, Batch   1445, Loss  0.868991, Average Loss  0.867199, Time  0.266113
2021-09-16 05:39:30.470289 : Epoch  5, Batch   1446, Loss  0.856254, Average Loss  0.867192, Time  0.266743
2021-09-16 05:39:33.450990 : Epoch  5, Batch   1447, Loss  0.867071, Average Loss  0.867117, Time  0.265457
2021-09-16 05:39:36.472321 : Epoch  5, Batch   1448, Loss  0.863691, Average Loss  0.867034, Time  0.266049
2021-09-16 05:39:39.507891 : Epoch  5, Batch   1449, Loss  0.867347, Average Loss  0.867036, Time  0.266552
2021-09-16 05:39:42.499597 : Epoch  5, Batch   1450, Loss  0.868935, Average Loss  0.866996, Time  0.266124
2021-09-16 05:39:45.489310 : Epoch  5, Batch   1451, Loss  0.864315, Average Loss  0.866937, Time  0.266852
2021-09-16 05:39:48.492036 : Epoch  5, Batch   1452, Loss  0.850543, Average Loss  0.866824, Time  0.271899
2021-09-16 05:39:51.483684 : Epoch  5, Batch   1453, Loss  0.880200, Average Loss  0.866931, Time  0.267186
2021-09-16 05:39:54.512236 : Epoch  5, Batch   1454, Loss  0.871596, Average Loss  0.866959, Time  0.267032
2021-09-16 05:39:57.491072 : Epoch  5, Batch   1455, Loss  0.857814, Average Loss  0.866880, Time  0.265304
2021-09-16 05:40:00.517885 : Epoch  5, Batch   1456, Loss  0.880107, Average Loss  0.866881, Time  0.267873
2021-09-16 05:40:03.508671 : Epoch  5, Batch   1457, Loss  0.887630, Average Loss  0.867006, Time  0.267750
2021-09-16 05:40:06.541661 : Epoch  5, Batch   1458, Loss  0.865645, Average Loss  0.867042, Time  0.266653
2021-09-16 05:40:09.569085 : Epoch  5, Batch   1459, Loss  0.857953, Average Loss  0.867018, Time  0.265599
2021-09-16 05:40:12.578035 : Epoch  5, Batch   1460, Loss  0.859183, Average Loss  0.866953, Time  0.266104
2021-09-16 05:40:15.590542 : Epoch  5, Batch   1461, Loss  0.885611, Average Loss  0.866987, Time  0.266179
2021-09-16 05:40:18.567824 : Epoch  5, Batch   1462, Loss  0.885006, Average Loss  0.867187, Time  0.266829
2021-09-16 05:40:21.586765 : Epoch  5, Batch   1463, Loss  0.864908, Average Loss  0.867227, Time  0.266799
2021-09-16 05:40:24.570289 : Epoch  5, Batch   1464, Loss  0.861633, Average Loss  0.867076, Time  0.265859
2021-09-16 05:40:27.573501 : Epoch  5, Batch   1465, Loss  0.853538, Average Loss  0.866998, Time  0.265640
2021-09-16 05:40:30.591209 : Epoch  5, Batch   1466, Loss  0.885640, Average Loss  0.867067, Time  0.266928
2021-09-16 05:40:33.577250 : Epoch  5, Batch   1467, Loss  0.868724, Average Loss  0.867065, Time  0.272732
2021-09-16 05:40:36.539475 : Epoch  5, Batch   1468, Loss  0.862437, Average Loss  0.867085, Time  0.265390
2021-09-16 05:40:39.563062 : Epoch  5, Batch   1469, Loss  0.867756, Average Loss  0.867114, Time  0.266130
2021-09-16 05:40:42.559046 : Epoch  5, Batch   1470, Loss  0.881479, Average Loss  0.867154, Time  0.265879
2021-09-16 05:40:45.605060 : Epoch  5, Batch   1471, Loss  0.846605, Average Loss  0.867064, Time  0.267468
2021-09-16 05:40:48.694668 : Epoch  5, Batch   1472, Loss  0.880312, Average Loss  0.867054, Time  0.267474
2021-09-16 05:40:51.710942 : Epoch  5, Batch   1473, Loss  0.888497, Average Loss  0.867180, Time  0.265867
2021-09-16 05:40:54.733156 : Epoch  5, Batch   1474, Loss  0.858466, Average Loss  0.867153, Time  0.265546
2021-09-16 05:40:57.716502 : Epoch  5, Batch   1475, Loss  0.867415, Average Loss  0.867128, Time  0.266788
2021-09-16 05:41:00.718989 : Epoch  5, Batch   1476, Loss  0.873080, Average Loss  0.867098, Time  0.266740
2021-09-16 05:41:16.253530 : CheckPoint: Validation Loss  0.00030267, Best Loss  0.00029226
2021-09-16 05:41:18.840752 : Epoch  3, Batch    989, Loss  0.879154, Average Loss  0.872794, Time  0.242277
2021-09-16 05:41:21.426014 : Epoch  3, Batch    990, Loss  0.889769, Average Loss  0.872963, Time  0.240293
2021-09-16 05:41:24.010946 : Epoch  3, Batch    991, Loss  0.870364, Average Loss  0.872905, Time  0.240146
2021-09-16 05:41:26.589651 : Epoch  3, Batch    992, Loss  0.876663, Average Loss  0.872879, Time  0.240024
2021-09-16 05:41:29.168289 : Epoch  3, Batch    993, Loss  0.881348, Average Loss  0.872896, Time  0.240854
2021-09-16 05:41:31.744383 : Epoch  3, Batch    994, Loss  0.878255, Average Loss  0.872990, Time  0.240708
2021-09-16 05:41:34.318026 : Epoch  3, Batch    995, Loss  0.883210, Average Loss  0.872979, Time  0.239826
2021-09-16 05:41:36.897742 : Epoch  3, Batch    996, Loss  0.869708, Average Loss  0.872984, Time  0.241423
2021-09-16 05:41:39.480245 : Epoch  3, Batch    997, Loss  0.879563, Average Loss  0.873085, Time  0.241553
2021-09-16 05:41:42.057863 : Epoch  3, Batch    998, Loss  0.878436, Average Loss  0.873095, Time  0.240022
2021-09-16 05:41:44.638792 : Epoch  3, Batch    999, Loss  0.889979, Average Loss  0.873207, Time  0.240388
2021-09-16 05:41:47.218616 : Epoch  3, Batch   1000, Loss  0.898255, Average Loss  0.873361, Time  0.240865
2021-09-16 05:41:49.803291 : Epoch  3, Batch   1001, Loss  0.861104, Average Loss  0.873245, Time  0.240653
2021-09-16 05:41:52.383393 : Epoch  3, Batch   1002, Loss  0.870024, Average Loss  0.873380, Time  0.240903
2021-09-16 05:41:54.970014 : Epoch  3, Batch   1003, Loss  0.860619, Average Loss  0.873292, Time  0.239819
2021-09-16 05:41:57.557059 : Epoch  3, Batch   1004, Loss  0.857253, Average Loss  0.873227, Time  0.240823
2021-09-16 05:42:00.137957 : Epoch  3, Batch   1005, Loss  0.878835, Average Loss  0.873339, Time  0.240337
2021-09-16 05:42:02.720987 : Epoch  3, Batch   1006, Loss  0.869577, Average Loss  0.873296, Time  0.240998
2021-09-16 05:42:05.305221 : Epoch  3, Batch   1007, Loss  0.869622, Average Loss  0.873287, Time  0.240684
2021-09-16 05:42:07.886434 : Epoch  3, Batch   1008, Loss  0.868022, Average Loss  0.873310, Time  0.240479
2021-09-16 05:42:10.472432 : Epoch  3, Batch   1009, Loss  0.884192, Average Loss  0.873311, Time  0.240041
2021-09-16 05:42:13.062342 : Epoch  3, Batch   1010, Loss  0.889910, Average Loss  0.873299, Time  0.241241
2021-09-16 05:42:15.659080 : Epoch  3, Batch   1011, Loss  0.887662, Average Loss  0.873342, Time  0.239771
2021-09-16 05:42:18.242421 : Epoch  3, Batch   1012, Loss  0.842095, Average Loss  0.873199, Time  0.240122
2021-09-16 05:42:20.830182 : Epoch  3, Batch   1013, Loss  0.878470, Average Loss  0.873240, Time  0.241782
2021-09-16 05:42:23.409352 : Epoch  3, Batch   1014, Loss  0.847596, Average Loss  0.873143, Time  0.239995
2021-09-16 05:42:25.989878 : Epoch  3, Batch   1015, Loss  0.872637, Average Loss  0.873152, Time  0.239960
2021-09-16 05:42:28.564251 : Epoch  3, Batch   1016, Loss  0.872388, Average Loss  0.873214, Time  0.240055
2021-09-16 05:42:31.147023 : Epoch  3, Batch   1017, Loss  0.861934, Average Loss  0.873250, Time  0.240483
2021-09-16 05:42:33.744046 : Epoch  3, Batch   1018, Loss  0.891259, Average Loss  0.873408, Time  0.240240
2021-09-16 05:42:36.324349 : Epoch  3, Batch   1019, Loss  0.868855, Average Loss  0.873402, Time  0.240441
2021-09-16 05:42:38.904537 : Epoch  3, Batch   1020, Loss  0.857380, Average Loss  0.873265, Time  0.240534
2021-09-16 05:42:41.489200 : Epoch  3, Batch   1021, Loss  0.856215, Average Loss  0.873257, Time  0.241209
2021-09-16 05:42:44.082892 : Epoch  3, Batch   1022, Loss  0.852179, Average Loss  0.873192, Time  0.240420
2021-09-16 05:42:46.661071 : Epoch  3, Batch   1023, Loss  0.885937, Average Loss  0.873264, Time  0.240143
2021-09-16 05:42:49.249190 : Epoch  3, Batch   1024, Loss  0.865762, Average Loss  0.873156, Time  0.241583
2021-09-16 05:42:51.832470 : Epoch  3, Batch   1025, Loss  0.885767, Average Loss  0.873159, Time  0.240312
2021-09-16 05:42:54.415088 : Epoch  3, Batch   1026, Loss  0.850772, Average Loss  0.873117, Time  0.241641
2021-09-16 05:42:57.006905 : Epoch  3, Batch   1027, Loss  0.869353, Average Loss  0.873144, Time  0.241687
2021-09-16 05:42:59.592826 : Epoch  3, Batch   1028, Loss  0.857864, Average Loss  0.873065, Time  0.243314
2021-09-16 05:43:02.179224 : Epoch  3, Batch   1029, Loss  0.863956, Average Loss  0.873040, Time  0.241941
2021-09-16 05:43:04.771018 : Epoch  3, Batch   1030, Loss  0.857078, Average Loss  0.873044, Time  0.242229
2021-09-16 05:43:07.347579 : Epoch  3, Batch   1031, Loss  0.878002, Average Loss  0.873114, Time  0.240167
2021-09-16 05:43:09.932103 : Epoch  3, Batch   1032, Loss  0.854880, Average Loss  0.873002, Time  0.240589
2021-09-16 05:43:12.519385 : Epoch  3, Batch   1033, Loss  0.888035, Average Loss  0.873049, Time  0.239870
2021-09-16 05:43:15.101022 : Epoch  3, Batch   1034, Loss  0.858307, Average Loss  0.872948, Time  0.240268
2021-09-16 05:43:17.684541 : Epoch  3, Batch   1035, Loss  0.883171, Average Loss  0.873065, Time  0.240096
2021-09-16 05:43:20.277414 : Epoch  3, Batch   1036, Loss  0.852009, Average Loss  0.872916, Time  0.240057
2021-09-16 05:43:22.858287 : Epoch  3, Batch   1037, Loss  0.868664, Average Loss  0.872919, Time  0.240646
2021-09-16 05:43:25.434886 : Epoch  3, Batch   1038, Loss  0.887004, Average Loss  0.872887, Time  0.240156
2021-09-16 05:43:28.020092 : Epoch  3, Batch   1039, Loss  0.886886, Average Loss  0.872876, Time  0.240473
2021-09-16 05:43:30.604453 : Epoch  3, Batch   1040, Loss  0.875755, Average Loss  0.872893, Time  0.240079
2021-09-16 05:43:33.184415 : Epoch  3, Batch   1041, Loss  0.879014, Average Loss  0.872885, Time  0.239757
2021-09-16 05:43:35.778113 : Epoch  3, Batch   1042, Loss  0.872914, Average Loss  0.872882, Time  0.240223
2021-09-16 05:43:38.364573 : Epoch  3, Batch   1043, Loss  0.888077, Average Loss  0.872901, Time  0.240054
2021-09-16 05:43:40.949565 : Epoch  3, Batch   1044, Loss  0.870302, Average Loss  0.872792, Time  0.240272
2021-09-16 05:43:43.535586 : Epoch  3, Batch   1045, Loss  0.856970, Average Loss  0.872794, Time  0.240740
2021-09-16 05:43:46.114089 : Epoch  3, Batch   1046, Loss  0.883366, Average Loss  0.872759, Time  0.240455
2021-09-16 05:43:48.687302 : Epoch  3, Batch   1047, Loss  0.885596, Average Loss  0.872918, Time  0.239999
2021-09-16 05:43:51.260415 : Epoch  3, Batch   1048, Loss  0.884062, Average Loss  0.872959, Time  0.240015
2021-09-16 05:43:53.836840 : Epoch  3, Batch   1049, Loss  0.870756, Average Loss  0.872989, Time  0.240151
2021-09-16 05:43:56.425809 : Epoch  3, Batch   1050, Loss  0.876828, Average Loss  0.873091, Time  0.241029
2021-09-16 05:43:59.004731 : Epoch  3, Batch   1051, Loss  0.872829, Average Loss  0.873073, Time  0.240956
2021-09-16 05:44:01.586109 : Epoch  3, Batch   1052, Loss  0.904765, Average Loss  0.873225, Time  0.239952
2021-09-16 05:44:04.166168 : Epoch  3, Batch   1053, Loss  0.875201, Average Loss  0.873248, Time  0.240957
2021-09-16 05:44:06.749888 : Epoch  3, Batch   1054, Loss  0.854790, Average Loss  0.873135, Time  0.240516
2021-09-16 05:44:09.328396 : Epoch  3, Batch   1055, Loss  0.877876, Average Loss  0.873152, Time  0.239883
2021-09-16 05:44:11.907151 : Epoch  3, Batch   1056, Loss  0.847641, Average Loss  0.873057, Time  0.240078
2021-09-16 05:44:14.495590 : Epoch  3, Batch   1057, Loss  0.876608, Average Loss  0.873091, Time  0.240933
2021-09-16 05:44:17.077826 : Epoch  3, Batch   1058, Loss  0.878413, Average Loss  0.873172, Time  0.240165
2021-09-16 05:44:19.659913 : Epoch  3, Batch   1059, Loss  0.865288, Average Loss  0.873081, Time  0.240293
2021-09-16 05:44:22.239923 : Epoch  3, Batch   1060, Loss  0.841970, Average Loss  0.872857, Time  0.240274
2021-09-16 05:44:24.812923 : Epoch  3, Batch   1061, Loss  0.859565, Average Loss  0.872835, Time  0.240114
2021-09-16 05:44:27.395275 : Epoch  3, Batch   1062, Loss  0.852464, Average Loss  0.872778, Time  0.241072
2021-09-16 05:44:29.978864 : Epoch  3, Batch   1063, Loss  0.847961, Average Loss  0.872818, Time  0.240269
2021-09-16 05:44:32.555028 : Epoch  3, Batch   1064, Loss  0.871388, Average Loss  0.872743, Time  0.240815
2021-09-16 05:44:35.131240 : Epoch  3, Batch   1065, Loss  0.846313, Average Loss  0.872676, Time  0.240237
2021-09-16 05:44:37.711246 : Epoch  3, Batch   1066, Loss  0.850786, Average Loss  0.872618, Time  0.240344
2021-09-16 05:44:40.292132 : Epoch  3, Batch   1067, Loss  0.880821, Average Loss  0.872586, Time  0.240018
2021-09-16 05:44:42.871854 : Epoch  3, Batch   1068, Loss  0.880791, Average Loss  0.872609, Time  0.241238
2021-09-16 05:44:45.463583 : Epoch  3, Batch   1069, Loss  0.879653, Average Loss  0.872616, Time  0.240185
2021-09-16 05:44:48.044430 : Epoch  3, Batch   1070, Loss  0.859264, Average Loss  0.872602, Time  0.240794
2021-09-16 05:44:50.637586 : Epoch  3, Batch   1071, Loss  0.861485, Average Loss  0.872604, Time  0.240057
2021-09-16 05:44:53.218196 : Epoch  3, Batch   1072, Loss  0.859618, Average Loss  0.872610, Time  0.241171
2021-09-16 05:44:55.795042 : Epoch  3, Batch   1073, Loss  0.864556, Average Loss  0.872581, Time  0.240307
2021-09-16 05:44:58.380602 : Epoch  3, Batch   1074, Loss  0.884863, Average Loss  0.872635, Time  0.239869
2021-09-16 05:45:00.965828 : Epoch  3, Batch   1075, Loss  0.870897, Average Loss  0.872648, Time  0.241227
2021-09-16 05:45:03.546031 : Epoch  3, Batch   1076, Loss  0.872746, Average Loss  0.872719, Time  0.240392
2021-09-16 05:45:06.127233 : Epoch  3, Batch   1077, Loss  0.869756, Average Loss  0.872712, Time  0.241715
2021-09-16 05:45:08.718229 : Epoch  3, Batch   1078, Loss  0.843137, Average Loss  0.872506, Time  0.242142
2021-09-16 05:45:11.299059 : Epoch  3, Batch   1079, Loss  0.864175, Average Loss  0.872493, Time  0.241692
2021-09-16 05:45:13.889000 : Epoch  3, Batch   1080, Loss  0.879009, Average Loss  0.872548, Time  0.241048
2021-09-16 05:45:16.470413 : Epoch  3, Batch   1081, Loss  0.847488, Average Loss  0.872340, Time  0.240044
2021-09-16 05:45:19.055280 : Epoch  3, Batch   1082, Loss  0.890574, Average Loss  0.872381, Time  0.240242
2021-09-16 05:45:21.632938 : Epoch  3, Batch   1083, Loss  0.853461, Average Loss  0.872233, Time  0.239748
2021-09-16 05:45:24.205800 : Epoch  3, Batch   1084, Loss  0.848421, Average Loss  0.872034, Time  0.239847
2021-09-16 05:45:26.781092 : Epoch  3, Batch   1085, Loss  0.865005, Average Loss  0.871999, Time  0.240467
2021-09-16 05:45:29.364974 : Epoch  3, Batch   1086, Loss  0.892360, Average Loss  0.872087, Time  0.241329
2021-09-16 05:45:31.945976 : Epoch  3, Batch   1087, Loss  0.862798, Average Loss  0.872055, Time  0.240257
2021-09-16 05:45:34.522219 : Epoch  3, Batch   1088, Loss  0.851214, Average Loss  0.871930, Time  0.240181
2021-09-16 05:45:40.478309 : CheckPoint: Validation Loss  0.00030506, Best Loss  0.00029295
2021-09-16 05:45:43.498267 : Epoch  5, Batch   1477, Loss  0.868783, Average Loss  0.867026, Time  0.267768
2021-09-16 05:45:46.522061 : Epoch  5, Batch   1478, Loss  0.878548, Average Loss  0.867071, Time  0.265691
2021-09-16 05:45:49.536797 : Epoch  5, Batch   1479, Loss  0.875031, Average Loss  0.867096, Time  0.266431
2021-09-16 05:45:52.543319 : Epoch  5, Batch   1480, Loss  0.879863, Average Loss  0.867120, Time  0.266293
2021-09-16 05:45:55.560002 : Epoch  5, Batch   1481, Loss  0.884481, Average Loss  0.867167, Time  0.265776
2021-09-16 05:45:58.619212 : Epoch  5, Batch   1482, Loss  0.869873, Average Loss  0.867130, Time  0.275009
2021-09-16 05:46:01.637237 : Epoch  5, Batch   1483, Loss  0.875303, Average Loss  0.867104, Time  0.265959
2021-09-16 05:46:04.639143 : Epoch  5, Batch   1484, Loss  0.869215, Average Loss  0.867157, Time  0.266097
2021-09-16 05:46:07.647547 : Epoch  5, Batch   1485, Loss  0.859840, Average Loss  0.867035, Time  0.265762
2021-09-16 05:46:10.673481 : Epoch  5, Batch   1486, Loss  0.871797, Average Loss  0.867071, Time  0.264395
2021-09-16 05:46:13.664489 : Epoch  5, Batch   1487, Loss  0.883750, Average Loss  0.867092, Time  0.265214
2021-09-16 05:46:16.657478 : Epoch  5, Batch   1488, Loss  0.891367, Average Loss  0.867192, Time  0.267890
2021-09-16 05:46:19.686304 : Epoch  5, Batch   1489, Loss  0.860673, Average Loss  0.867170, Time  0.266940
2021-09-16 05:46:22.690769 : Epoch  5, Batch   1490, Loss  0.881091, Average Loss  0.867385, Time  0.266481
2021-09-16 05:46:25.727795 : Epoch  5, Batch   1491, Loss  0.857765, Average Loss  0.867275, Time  0.265592
2021-09-16 05:46:28.704445 : Epoch  5, Batch   1492, Loss  0.903769, Average Loss  0.867459, Time  0.266350
2021-09-16 05:46:31.690256 : Epoch  5, Batch   1493, Loss  0.870985, Average Loss  0.867561, Time  0.267303
2021-09-16 05:46:34.707454 : Epoch  5, Batch   1494, Loss  0.872857, Average Loss  0.867581, Time  0.266456
2021-09-16 05:46:37.694609 : Epoch  5, Batch   1495, Loss  0.861802, Average Loss  0.867616, Time  0.267456
2021-09-16 05:46:40.688489 : Epoch  5, Batch   1496, Loss  0.875201, Average Loss  0.867650, Time  0.266083
2021-09-16 05:46:43.722121 : Epoch  5, Batch   1497, Loss  0.867144, Average Loss  0.867651, Time  0.276244
2021-09-16 05:46:46.743724 : Epoch  5, Batch   1498, Loss  0.845201, Average Loss  0.867597, Time  0.266015
2021-09-16 05:46:49.754318 : Epoch  5, Batch   1499, Loss  0.867442, Average Loss  0.867582, Time  0.265749
2021-09-16 05:46:52.736328 : Epoch  5, Batch   1500, Loss  0.883766, Average Loss  0.867703, Time  0.265408
2021-09-16 05:46:55.770099 : Epoch  5, Batch   1501, Loss  0.877468, Average Loss  0.867874, Time  0.266525
2021-09-16 05:46:58.794047 : Epoch  5, Batch   1502, Loss  0.868819, Average Loss  0.867821, Time  0.266624
2021-09-16 05:47:01.826491 : Epoch  5, Batch   1503, Loss  0.870570, Average Loss  0.867875, Time  0.266184
2021-09-16 05:47:04.850983 : Epoch  5, Batch   1504, Loss  0.872152, Average Loss  0.867980, Time  0.265467
2021-09-16 05:47:07.883552 : Epoch  5, Batch   1505, Loss  0.858703, Average Loss  0.868010, Time  0.266129
2021-09-16 05:47:10.884550 : Epoch  5, Batch   1506, Loss  0.888355, Average Loss  0.868122, Time  0.265259
2021-09-16 05:47:13.909199 : Epoch  5, Batch   1507, Loss  0.880472, Average Loss  0.868280, Time  0.266108
2021-09-16 05:47:16.929631 : Epoch  5, Batch   1508, Loss  0.858249, Average Loss  0.868313, Time  0.266587
2021-09-16 05:47:19.939935 : Epoch  5, Batch   1509, Loss  0.862539, Average Loss  0.868151, Time  0.266084
2021-09-16 05:47:22.945758 : Epoch  5, Batch   1510, Loss  0.862990, Average Loss  0.868177, Time  0.266062
2021-09-16 05:47:25.984930 : Epoch  5, Batch   1511, Loss  0.861657, Average Loss  0.868091, Time  0.266232
2021-09-16 05:47:29.014212 : Epoch  5, Batch   1512, Loss  0.866144, Average Loss  0.868012, Time  0.276577
2021-09-16 05:47:32.012050 : Epoch  5, Batch   1513, Loss  0.885937, Average Loss  0.868053, Time  0.267056
2021-09-16 05:47:35.039964 : Epoch  5, Batch   1514, Loss  0.855126, Average Loss  0.867973, Time  0.266320
2021-09-16 05:47:38.053358 : Epoch  5, Batch   1515, Loss  0.871506, Average Loss  0.868125, Time  0.266428
2021-09-16 05:47:41.055470 : Epoch  5, Batch   1516, Loss  0.884285, Average Loss  0.868150, Time  0.265229
2021-09-16 05:47:44.078259 : Epoch  5, Batch   1517, Loss  0.895121, Average Loss  0.868206, Time  0.266200
2021-09-16 05:47:47.076909 : Epoch  5, Batch   1518, Loss  0.875251, Average Loss  0.868290, Time  0.265146
2021-09-16 05:47:50.067339 : Epoch  5, Batch   1519, Loss  0.887303, Average Loss  0.868369, Time  0.266304
2021-09-16 05:47:53.078509 : Epoch  5, Batch   1520, Loss  0.872821, Average Loss  0.868406, Time  0.265873
2021-09-16 05:47:56.110127 : Epoch  5, Batch   1521, Loss  0.904874, Average Loss  0.868487, Time  0.266047
2021-09-16 05:47:59.135479 : Epoch  5, Batch   1522, Loss  0.866552, Average Loss  0.868541, Time  0.266582
2021-09-16 05:48:02.166681 : Epoch  5, Batch   1523, Loss  0.874033, Average Loss  0.868585, Time  0.266348
2021-09-16 05:48:05.185715 : Epoch  5, Batch   1524, Loss  0.856974, Average Loss  0.868555, Time  0.265192
2021-09-16 05:48:08.184404 : Epoch  5, Batch   1525, Loss  0.867983, Average Loss  0.868519, Time  0.265513
2021-09-16 05:48:11.201114 : Epoch  5, Batch   1526, Loss  0.858194, Average Loss  0.868526, Time  0.265517
2021-09-16 05:48:14.201510 : Epoch  5, Batch   1527, Loss  0.854873, Average Loss  0.868356, Time  0.276848
2021-09-16 05:48:17.193191 : Epoch  5, Batch   1528, Loss  0.854269, Average Loss  0.868235, Time  0.265849
2021-09-16 05:48:20.239668 : Epoch  5, Batch   1529, Loss  0.870093, Average Loss  0.868189, Time  0.266117
2021-09-16 05:48:23.229428 : Epoch  5, Batch   1530, Loss  0.842309, Average Loss  0.868056, Time  0.265382
2021-09-16 05:48:26.230529 : Epoch  5, Batch   1531, Loss  0.861022, Average Loss  0.868078, Time  0.265286
2021-09-16 05:48:29.225883 : Epoch  5, Batch   1532, Loss  0.899864, Average Loss  0.868223, Time  0.265359
2021-09-16 05:48:32.216525 : Epoch  5, Batch   1533, Loss  0.865601, Average Loss  0.868188, Time  0.266510
2021-09-16 05:48:35.211278 : Epoch  5, Batch   1534, Loss  0.875769, Average Loss  0.868220, Time  0.266047
2021-09-16 05:48:38.201668 : Epoch  5, Batch   1535, Loss  0.873785, Average Loss  0.868248, Time  0.266482
2021-09-16 05:48:41.194372 : Epoch  5, Batch   1536, Loss  0.868006, Average Loss  0.868258, Time  0.265476
2021-09-16 05:48:44.210196 : Epoch  5, Batch   1537, Loss  0.873504, Average Loss  0.868320, Time  0.266604
2021-09-16 05:48:47.215732 : Epoch  5, Batch   1538, Loss  0.853784, Average Loss  0.868254, Time  0.265952
2021-09-16 05:48:50.209650 : Epoch  5, Batch   1539, Loss  0.888097, Average Loss  0.868359, Time  0.267358
2021-09-16 05:48:53.229040 : Epoch  5, Batch   1540, Loss  0.854546, Average Loss  0.868459, Time  0.265803
2021-09-16 05:48:56.237275 : Epoch  5, Batch   1541, Loss  0.889290, Average Loss  0.868559, Time  0.265319
2021-09-16 05:48:59.248459 : Epoch  5, Batch   1542, Loss  0.877707, Average Loss  0.868615, Time  0.276357
2021-09-16 05:49:02.254377 : Epoch  5, Batch   1543, Loss  0.864008, Average Loss  0.868659, Time  0.265665
2021-09-16 05:49:05.268125 : Epoch  5, Batch   1544, Loss  0.852590, Average Loss  0.868582, Time  0.265668
2021-09-16 05:49:08.286028 : Epoch  5, Batch   1545, Loss  0.875445, Average Loss  0.868596, Time  0.265459
2021-09-16 05:49:11.301509 : Epoch  5, Batch   1546, Loss  0.865534, Average Loss  0.868645, Time  0.267296
2021-09-16 05:49:14.305500 : Epoch  5, Batch   1547, Loss  0.879625, Average Loss  0.868824, Time  0.265978
2021-09-16 05:49:17.336442 : Epoch  5, Batch   1548, Loss  0.848731, Average Loss  0.868676, Time  0.266173
2021-09-16 05:49:20.361229 : Epoch  5, Batch   1549, Loss  0.873334, Average Loss  0.868750, Time  0.266243
2021-09-16 05:49:23.387121 : Epoch  5, Batch   1550, Loss  0.851337, Average Loss  0.868695, Time  0.265861
2021-09-16 05:49:26.391929 : Epoch  5, Batch   1551, Loss  0.861655, Average Loss  0.868587, Time  0.265750
2021-09-16 05:49:29.387075 : Epoch  5, Batch   1552, Loss  0.855260, Average Loss  0.868504, Time  0.265222
2021-09-16 05:49:32.407161 : Epoch  5, Batch   1553, Loss  0.867616, Average Loss  0.868514, Time  0.266196
2021-09-16 05:49:35.417915 : Epoch  5, Batch   1554, Loss  0.881058, Average Loss  0.868557, Time  0.267379
2021-09-16 05:49:36.442958 : CheckPoint: Validation Loss  0.00030756, Best Loss  0.00029226
2021-09-16 05:49:38.443087 : Epoch  5, Batch   1555, Loss  0.856612, Average Loss  0.868565, Time  0.266145
2021-09-16 05:49:39.020615 : Epoch  3, Batch   1089, Loss  0.842433, Average Loss  0.871823, Time  0.241268
2021-09-16 05:49:41.431447 : Epoch  5, Batch   1556, Loss  0.874584, Average Loss  0.868570, Time  0.265669
2021-09-16 05:49:41.609397 : Epoch  3, Batch   1090, Loss  0.881033, Average Loss  0.871949, Time  0.240251
2021-09-16 05:49:44.185071 : Epoch  3, Batch   1091, Loss  0.868784, Average Loss  0.871919, Time  0.240599
2021-09-16 05:49:44.411360 : Epoch  5, Batch   1557, Loss  0.854992, Average Loss  0.868599, Time  0.274471
2021-09-16 05:49:46.765362 : Epoch  3, Batch   1092, Loss  0.866124, Average Loss  0.871836, Time  0.240458
2021-09-16 05:49:47.406320 : Epoch  5, Batch   1558, Loss  0.868490, Average Loss  0.868544, Time  0.266665
2021-09-16 05:49:49.346897 : Epoch  3, Batch   1093, Loss  0.852214, Average Loss  0.871700, Time  0.240070
2021-09-16 05:49:50.407145 : Epoch  5, Batch   1559, Loss  0.861659, Average Loss  0.868554, Time  0.264949
2021-09-16 05:49:51.935856 : Epoch  3, Batch   1094, Loss  0.851912, Average Loss  0.871555, Time  0.241108
2021-09-16 05:49:53.407830 : Epoch  5, Batch   1560, Loss  0.865103, Average Loss  0.868445, Time  0.265958
2021-09-16 05:49:54.515879 : Epoch  3, Batch   1095, Loss  0.886905, Average Loss  0.871665, Time  0.239858
2021-09-16 05:49:56.442168 : Epoch  5, Batch   1561, Loss  0.851106, Average Loss  0.868298, Time  0.265732
2021-09-16 05:49:57.105445 : Epoch  3, Batch   1096, Loss  0.863366, Average Loss  0.871600, Time  0.240184
2021-09-16 05:49:59.461446 : Epoch  5, Batch   1562, Loss  0.880945, Average Loss  0.868274, Time  0.265300
2021-09-16 05:49:59.692133 : Epoch  3, Batch   1097, Loss  0.862483, Average Loss  0.871480, Time  0.240345
2021-09-16 05:50:02.269162 : Epoch  3, Batch   1098, Loss  0.891998, Average Loss  0.871643, Time  0.240487
2021-09-16 05:50:02.497099 : Epoch  5, Batch   1563, Loss  0.881850, Average Loss  0.868411, Time  0.267601
2021-09-16 05:50:04.851559 : Epoch  3, Batch   1099, Loss  0.868667, Average Loss  0.871700, Time  0.240010
2021-09-16 05:50:05.499203 : Epoch  5, Batch   1564, Loss  0.879573, Average Loss  0.868459, Time  0.267053
2021-09-16 05:50:07.430113 : Epoch  3, Batch   1100, Loss  0.887145, Average Loss  0.871871, Time  0.243792
2021-09-16 05:50:08.506773 : Epoch  5, Batch   1565, Loss  0.861222, Average Loss  0.868583, Time  0.265339
2021-09-16 05:50:10.017237 : Epoch  3, Batch   1101, Loss  0.871094, Average Loss  0.871902, Time  0.242112
2021-09-16 05:50:11.505035 : Epoch  5, Batch   1566, Loss  0.882178, Average Loss  0.868539, Time  0.265101
2021-09-16 05:50:12.600977 : Epoch  3, Batch   1102, Loss  0.875044, Average Loss  0.871935, Time  0.242496
2021-09-16 05:50:14.503116 : Epoch  5, Batch   1567, Loss  0.868396, Average Loss  0.868544, Time  0.265879
2021-09-16 05:50:15.196018 : Epoch  3, Batch   1103, Loss  0.889036, Average Loss  0.871991, Time  0.241014
2021-09-16 05:50:17.501085 : Epoch  5, Batch   1568, Loss  0.874206, Average Loss  0.868589, Time  0.265693
2021-09-16 05:50:17.785413 : Epoch  3, Batch   1104, Loss  0.857476, Average Loss  0.871882, Time  0.240810
2021-09-16 05:50:20.358245 : Epoch  3, Batch   1105, Loss  0.851963, Average Loss  0.871693, Time  0.239913
2021-09-16 05:50:20.502837 : Epoch  5, Batch   1569, Loss  0.858388, Average Loss  0.868494, Time  0.266983
2021-09-16 05:50:22.942663 : Epoch  3, Batch   1106, Loss  0.871771, Average Loss  0.871666, Time  0.239798
2021-09-16 05:50:23.486692 : Epoch  5, Batch   1570, Loss  0.841395, Average Loss  0.868395, Time  0.265064
2021-09-16 05:50:25.526143 : Epoch  3, Batch   1107, Loss  0.888640, Average Loss  0.871820, Time  0.240685
2021-09-16 05:50:26.487947 : Epoch  5, Batch   1571, Loss  0.879368, Average Loss  0.868467, Time  0.265767
2021-09-16 05:50:28.103206 : Epoch  3, Batch   1108, Loss  0.870372, Average Loss  0.871671, Time  0.240187
2021-09-16 05:50:29.491826 : Epoch  5, Batch   1572, Loss  0.882358, Average Loss  0.868597, Time  0.277458
2021-09-16 05:50:30.691835 : Epoch  3, Batch   1109, Loss  0.852940, Average Loss  0.871573, Time  0.241101
2021-09-16 05:50:32.487172 : Epoch  5, Batch   1573, Loss  0.862463, Average Loss  0.868546, Time  0.267143
2021-09-16 05:50:33.284587 : Epoch  3, Batch   1110, Loss  0.867580, Average Loss  0.871651, Time  0.240010
2021-09-16 05:50:35.503265 : Epoch  5, Batch   1574, Loss  0.878812, Average Loss  0.868508, Time  0.266644
2021-09-16 05:50:35.867125 : Epoch  3, Batch   1111, Loss  0.867830, Average Loss  0.871613, Time  0.240937
2021-09-16 05:50:38.443262 : Epoch  3, Batch   1112, Loss  0.898395, Average Loss  0.871765, Time  0.240024
2021-09-16 05:50:38.516171 : Epoch  5, Batch   1575, Loss  0.850584, Average Loss  0.868371, Time  0.267656
2021-09-16 05:50:41.021036 : Epoch  3, Batch   1113, Loss  0.864859, Average Loss  0.871723, Time  0.240079
2021-09-16 05:50:43.599606 : Epoch  3, Batch   1114, Loss  0.870414, Average Loss  0.871751, Time  0.241477
2021-09-16 05:50:46.175568 : Epoch  3, Batch   1115, Loss  0.873342, Average Loss  0.871865, Time  0.240953
2021-09-16 05:50:48.754389 : Epoch  3, Batch   1116, Loss  0.869277, Average Loss  0.871790, Time  0.240288
2021-09-16 05:50:49.454483 : Epoch  5, Batch   1576, Loss  0.860091, Average Loss  0.868332, Time  0.268498
2021-09-16 05:50:51.330055 : Epoch  3, Batch   1117, Loss  0.880894, Average Loss  0.871820, Time  0.240399
2021-09-16 05:50:53.907910 : Epoch  3, Batch   1118, Loss  0.888810, Average Loss  0.871915, Time  0.240103
2021-09-16 05:50:56.486375 : Epoch  3, Batch   1119, Loss  0.878648, Average Loss  0.871872, Time  0.243038
2021-09-16 05:50:59.075865 : Epoch  3, Batch   1120, Loss  0.865677, Average Loss  0.871958, Time  0.240457
2021-09-16 05:51:01.657584 : Epoch  3, Batch   1121, Loss  0.876473, Average Loss  0.872007, Time  0.239998
2021-09-16 05:51:04.234448 : Epoch  3, Batch   1122, Loss  0.879592, Average Loss  0.872015, Time  0.239729
2021-09-16 05:51:06.806050 : Epoch  3, Batch   1123, Loss  0.884690, Average Loss  0.871994, Time  0.240036
2021-09-16 05:51:09.383425 : Epoch  3, Batch   1124, Loss  0.876841, Average Loss  0.872040, Time  0.241105
2021-09-16 05:51:11.962728 : Epoch  3, Batch   1125, Loss  0.871952, Average Loss  0.872079, Time  0.240675
2021-09-16 05:51:14.540719 : Epoch  3, Batch   1126, Loss  0.852374, Average Loss  0.871997, Time  0.241072
2021-09-16 05:51:17.109894 : Epoch  3, Batch   1127, Loss  0.868202, Average Loss  0.872090, Time  0.239948
2021-09-16 05:51:19.695043 : Epoch  3, Batch   1128, Loss  0.859856, Average Loss  0.872151, Time  0.240361
2021-09-16 05:51:22.279402 : Epoch  3, Batch   1129, Loss  0.880883, Average Loss  0.872214, Time  0.239944
2021-09-16 05:51:24.847908 : Epoch  3, Batch   1130, Loss  0.875779, Average Loss  0.872316, Time  0.240869
2021-09-16 05:51:27.425991 : Epoch  3, Batch   1131, Loss  0.858934, Average Loss  0.872276, Time  0.240507
2021-09-16 05:51:30.010088 : Epoch  3, Batch   1132, Loss  0.875924, Average Loss  0.872317, Time  0.240588
2021-09-16 05:51:32.608801 : Epoch  3, Batch   1133, Loss  0.847675, Average Loss  0.872204, Time  0.240681
2021-09-16 05:51:35.186620 : Epoch  3, Batch   1134, Loss  0.869721, Average Loss  0.872196, Time  0.240178
2021-09-16 05:51:37.779053 : Epoch  3, Batch   1135, Loss  0.880734, Average Loss  0.872184, Time  0.241020
2021-09-16 05:51:40.371828 : Epoch  3, Batch   1136, Loss  0.873504, Average Loss  0.872191, Time  0.240067
2021-09-16 05:51:42.968545 : Epoch  3, Batch   1137, Loss  0.871972, Average Loss  0.872283, Time  0.242104
2021-09-16 05:51:45.544406 : Epoch  3, Batch   1138, Loss  0.856847, Average Loss  0.872150, Time  0.240564
2021-09-16 05:51:48.127412 : Epoch  3, Batch   1139, Loss  0.871549, Average Loss  0.872119, Time  0.239708
2021-09-16 05:51:50.713462 : Epoch  3, Batch   1140, Loss  0.866549, Average Loss  0.872243, Time  0.239995
2021-09-16 05:51:53.305032 : Epoch  3, Batch   1141, Loss  0.866511, Average Loss  0.872167, Time  0.240904
2021-09-16 05:51:55.894551 : Epoch  3, Batch   1142, Loss  0.845122, Average Loss  0.872073, Time  0.240092
2021-09-16 05:51:58.478505 : Epoch  3, Batch   1143, Loss  0.888997, Average Loss  0.872167, Time  0.241809
2021-09-16 05:52:01.063048 : Epoch  3, Batch   1144, Loss  0.881983, Average Loss  0.872305, Time  0.241970
2021-09-16 05:52:03.634673 : Epoch  3, Batch   1145, Loss  0.885522, Average Loss  0.872293, Time  0.240730
2021-09-16 05:52:06.214566 : Epoch  3, Batch   1146, Loss  0.892747, Average Loss  0.872497, Time  0.240484
2021-09-16 05:52:08.786814 : Epoch  3, Batch   1147, Loss  0.877202, Average Loss  0.872575, Time  0.240013
2021-09-16 05:52:11.363952 : Epoch  3, Batch   1148, Loss  0.856682, Average Loss  0.872382, Time  0.240515
2021-09-16 05:52:13.944868 : Epoch  3, Batch   1149, Loss  0.878251, Average Loss  0.872461, Time  0.239943
2021-09-16 05:52:16.564963 : Epoch  3, Batch   1150, Loss  0.853573, Average Loss  0.872367, Time  0.240897
2021-09-16 05:52:19.147980 : Epoch  3, Batch   1151, Loss  0.881504, Average Loss  0.872363, Time  0.240550
2021-09-16 05:52:21.731419 : Epoch  3, Batch   1152, Loss  0.869513, Average Loss  0.872309, Time  0.240456
2021-09-16 05:52:24.318168 : Epoch  3, Batch   1153, Loss  0.857597, Average Loss  0.872217, Time  0.239845
2021-09-16 05:52:26.892412 : Epoch  3, Batch   1154, Loss  0.867346, Average Loss  0.872102, Time  0.239820
2021-09-16 05:52:29.475794 : Epoch  3, Batch   1155, Loss  0.858643, Average Loss  0.872050, Time  0.240244
2021-09-16 05:52:32.057388 : Epoch  3, Batch   1156, Loss  0.870491, Average Loss  0.871900, Time  0.239688
2021-09-16 05:52:34.642139 : Epoch  3, Batch   1157, Loss  0.875145, Average Loss  0.871800, Time  0.240072
2021-09-16 05:52:37.225244 : Epoch  3, Batch   1158, Loss  0.878356, Average Loss  0.871796, Time  0.243694
2021-09-16 05:52:39.814884 : Epoch  3, Batch   1159, Loss  0.872623, Average Loss  0.871771, Time  0.240875
2021-09-16 05:52:42.405239 : Epoch  3, Batch   1160, Loss  0.862093, Average Loss  0.871679, Time  0.241287
2021-09-16 05:52:44.981785 : Epoch  3, Batch   1161, Loss  0.870131, Average Loss  0.871620, Time  0.240631
2021-09-16 05:52:47.559052 : Epoch  3, Batch   1162, Loss  0.886781, Average Loss  0.871592, Time  0.240951
2021-09-16 05:52:50.135232 : Epoch  3, Batch   1163, Loss  0.890398, Average Loss  0.871694, Time  0.239899
2021-09-16 05:52:52.718031 : Epoch  3, Batch   1164, Loss  0.857358, Average Loss  0.871644, Time  0.241642
2021-09-16 05:52:55.302059 : Epoch  3, Batch   1165, Loss  0.865823, Average Loss  0.871486, Time  0.241027
2021-09-16 05:52:57.887460 : Epoch  3, Batch   1166, Loss  0.868442, Average Loss  0.871475, Time  0.239893
2021-09-16 05:53:00.466983 : Epoch  3, Batch   1167, Loss  0.875238, Average Loss  0.871474, Time  0.240309
2021-09-16 05:53:03.046826 : Epoch  3, Batch   1168, Loss  0.875825, Average Loss  0.871473, Time  0.240516
2021-09-16 05:53:05.631997 : Epoch  3, Batch   1169, Loss  0.846530, Average Loss  0.871403, Time  0.242235
2021-09-16 05:53:08.208786 : Epoch  3, Batch   1170, Loss  0.886016, Average Loss  0.871515, Time  0.240508
2021-09-16 05:53:10.792853 : Epoch  3, Batch   1171, Loss  0.884054, Average Loss  0.871452, Time  0.240066
2021-09-16 05:53:13.364228 : Epoch  3, Batch   1172, Loss  0.850230, Average Loss  0.871347, Time  0.242488
2021-09-16 05:53:15.945009 : Epoch  3, Batch   1173, Loss  0.881007, Average Loss  0.871388, Time  0.241184
2021-09-16 05:53:18.523534 : Epoch  3, Batch   1174, Loss  0.866088, Average Loss  0.871381, Time  0.240433
2021-09-16 05:53:21.105847 : Epoch  3, Batch   1175, Loss  0.834724, Average Loss  0.871167, Time  0.244782
2021-09-16 05:53:23.692401 : Epoch  3, Batch   1176, Loss  0.874645, Average Loss  0.871206, Time  0.241632
2021-09-16 05:53:26.269269 : Epoch  3, Batch   1177, Loss  0.885881, Average Loss  0.871178, Time  0.240043
2021-09-16 05:53:28.845215 : Epoch  3, Batch   1178, Loss  0.862868, Average Loss  0.871035, Time  0.240151
2021-09-16 05:53:31.421071 : Epoch  3, Batch   1179, Loss  0.860706, Average Loss  0.870648, Time  0.239976
2021-09-16 05:53:34.006589 : Epoch  3, Batch   1180, Loss  0.877861, Average Loss  0.870604, Time  0.240690
2021-09-16 05:53:36.585322 : Epoch  3, Batch   1181, Loss  0.886074, Average Loss  0.870778, Time  0.240718
2021-09-16 05:53:39.172416 : Epoch  3, Batch   1182, Loss  0.875975, Average Loss  0.870901, Time  0.240538
2021-09-16 05:53:41.768023 : Epoch  3, Batch   1183, Loss  0.860688, Average Loss  0.870690, Time  0.241261
2021-09-16 05:53:44.344292 : Epoch  3, Batch   1184, Loss  0.884466, Average Loss  0.870774, Time  0.240829
2021-09-16 05:53:46.927937 : Epoch  3, Batch   1185, Loss  0.848354, Average Loss  0.870603, Time  0.240126
2021-09-16 05:53:49.510842 : Epoch  3, Batch   1186, Loss  0.853878, Average Loss  0.870478, Time  0.240018
2021-09-16 05:53:52.092249 : Epoch  3, Batch   1187, Loss  0.862683, Average Loss  0.870382, Time  0.241685
2021-09-16 05:53:54.668382 : Epoch  3, Batch   1188, Loss  0.874574, Average Loss  0.870300, Time  0.242120
2021-09-16 05:55:28.291993 : CheckPoint: Validation Loss  0.00030416, Best Loss  0.00029295
2021-09-16 05:55:31.346221 : Epoch  5, Batch   1577, Loss  0.874792, Average Loss  0.868334, Time  0.268437
2021-09-16 05:55:34.339111 : Epoch  5, Batch   1578, Loss  0.881131, Average Loss  0.868480, Time  0.265006
2021-09-16 05:55:37.339054 : Epoch  5, Batch   1579, Loss  0.872078, Average Loss  0.868417, Time  0.265968
2021-09-16 05:55:40.370640 : Epoch  5, Batch   1580, Loss  0.858159, Average Loss  0.868436, Time  0.266287
2021-09-16 05:55:43.395761 : Epoch  5, Batch   1581, Loss  0.871794, Average Loss  0.868457, Time  0.265949
2021-09-16 05:55:46.388393 : Epoch  5, Batch   1582, Loss  0.877854, Average Loss  0.868538, Time  0.264878
2021-09-16 05:55:49.423458 : Epoch  5, Batch   1583, Loss  0.834630, Average Loss  0.868395, Time  0.275731
2021-09-16 05:55:52.436956 : Epoch  5, Batch   1584, Loss  0.861545, Average Loss  0.868473, Time  0.267946
2021-09-16 05:55:55.474763 : Epoch  5, Batch   1585, Loss  0.881395, Average Loss  0.868597, Time  0.267495
2021-09-16 05:55:58.474164 : Epoch  5, Batch   1586, Loss  0.854594, Average Loss  0.868495, Time  0.265296
2021-09-16 05:56:01.493412 : Epoch  5, Batch   1587, Loss  0.878556, Average Loss  0.868567, Time  0.267782
2021-09-16 05:56:04.538861 : Epoch  5, Batch   1588, Loss  0.866312, Average Loss  0.868598, Time  0.267886
2021-09-16 05:56:07.575239 : Epoch  5, Batch   1589, Loss  0.871878, Average Loss  0.868615, Time  0.265524
2021-09-16 05:56:10.581391 : Epoch  5, Batch   1590, Loss  0.906517, Average Loss  0.868902, Time  0.265754
2021-09-16 05:56:13.585557 : Epoch  5, Batch   1591, Loss  0.862513, Average Loss  0.868895, Time  0.265787
2021-09-16 05:56:16.531905 : Epoch  5, Batch   1592, Loss  0.895828, Average Loss  0.868972, Time  0.265084
2021-09-16 05:56:19.547482 : Epoch  5, Batch   1593, Loss  0.864780, Average Loss  0.868897, Time  0.267727
2021-09-16 05:56:22.562863 : Epoch  5, Batch   1594, Loss  0.886798, Average Loss  0.869042, Time  0.266064
2021-09-16 05:56:25.568782 : Epoch  5, Batch   1595, Loss  0.870516, Average Loss  0.868994, Time  0.265649
2021-09-16 05:56:28.574077 : Epoch  5, Batch   1596, Loss  0.867247, Average Loss  0.868843, Time  0.266848
2021-09-16 05:56:31.583979 : Epoch  5, Batch   1597, Loss  0.862886, Average Loss  0.868848, Time  0.265801
2021-09-16 05:56:34.624136 : Epoch  5, Batch   1598, Loss  0.876036, Average Loss  0.868836, Time  0.277558
2021-09-16 05:56:37.619786 : Epoch  5, Batch   1599, Loss  0.867200, Average Loss  0.868831, Time  0.265244
2021-09-16 05:56:40.661453 : Epoch  5, Batch   1600, Loss  0.884497, Average Loss  0.868966, Time  0.266773
2021-09-16 05:56:43.681328 : Epoch  5, Batch   1601, Loss  0.879103, Average Loss  0.868946, Time  0.267838
2021-09-16 05:56:46.720348 : Epoch  5, Batch   1602, Loss  0.883363, Average Loss  0.869004, Time  0.265142
2021-09-16 05:56:49.715472 : Epoch  5, Batch   1603, Loss  0.867906, Average Loss  0.868963, Time  0.265729
2021-09-16 05:56:52.711616 : Epoch  5, Batch   1604, Loss  0.868956, Average Loss  0.869011, Time  0.265250
2021-09-16 05:56:55.718255 : Epoch  5, Batch   1605, Loss  0.859441, Average Loss  0.868945, Time  0.265486
2021-09-16 05:56:58.710650 : Epoch  5, Batch   1606, Loss  0.845598, Average Loss  0.868774, Time  0.266756
2021-09-16 05:57:01.733115 : Epoch  5, Batch   1607, Loss  0.877036, Average Loss  0.868857, Time  0.265924
2021-09-16 05:57:04.724224 : Epoch  5, Batch   1608, Loss  0.847016, Average Loss  0.868670, Time  0.266309
2021-09-16 05:57:07.715569 : Epoch  5, Batch   1609, Loss  0.862035, Average Loss  0.868687, Time  0.265336
2021-09-16 05:57:10.737280 : Epoch  5, Batch   1610, Loss  0.895007, Average Loss  0.868781, Time  0.266291
2021-09-16 05:57:13.770936 : Epoch  5, Batch   1611, Loss  0.884015, Average Loss  0.868781, Time  0.265671
2021-09-16 05:57:16.802789 : Epoch  5, Batch   1612, Loss  0.861805, Average Loss  0.868748, Time  0.266585
2021-09-16 05:57:19.818693 : Epoch  5, Batch   1613, Loss  0.862277, Average Loss  0.868735, Time  0.275066
2021-09-16 05:57:22.848264 : Epoch  5, Batch   1614, Loss  0.878738, Average Loss  0.868780, Time  0.266373
2021-09-16 05:57:25.883028 : Epoch  5, Batch   1615, Loss  0.838065, Average Loss  0.868684, Time  0.265232
2021-09-16 05:57:28.891988 : Epoch  5, Batch   1616, Loss  0.839222, Average Loss  0.868537, Time  0.265689
2021-09-16 05:57:31.892372 : Epoch  5, Batch   1617, Loss  0.882502, Average Loss  0.868621, Time  0.265494
2021-09-16 05:57:34.914159 : Epoch  5, Batch   1618, Loss  0.884509, Average Loss  0.868735, Time  0.265148
2021-09-16 05:57:37.913013 : Epoch  5, Batch   1619, Loss  0.877444, Average Loss  0.868829, Time  0.265763
2021-09-16 05:57:40.912367 : Epoch  5, Batch   1620, Loss  0.874199, Average Loss  0.868833, Time  0.266228
2021-09-16 05:57:43.949658 : Epoch  5, Batch   1621, Loss  0.867297, Average Loss  0.868845, Time  0.265832
2021-09-16 05:57:46.959219 : Epoch  5, Batch   1622, Loss  0.874820, Average Loss  0.868854, Time  0.265021
2021-09-16 05:57:49.993119 : Epoch  5, Batch   1623, Loss  0.871171, Average Loss  0.868831, Time  0.265927
2021-09-16 05:57:52.987572 : Epoch  5, Batch   1624, Loss  0.870276, Average Loss  0.868888, Time  0.265380
2021-09-16 05:57:55.991302 : Epoch  5, Batch   1625, Loss  0.849722, Average Loss  0.868820, Time  0.266712
2021-09-16 05:57:58.144761 : CheckPoint: Validation Loss  0.00030720, Best Loss  0.00029226
2021-09-16 05:57:58.996273 : Epoch  5, Batch   1626, Loss  0.870521, Average Loss  0.868891, Time  0.265466
2021-09-16 05:58:00.737996 : Epoch  3, Batch   1189, Loss  0.858685, Average Loss  0.870197, Time  0.241064
2021-09-16 05:58:02.003020 : Epoch  5, Batch   1627, Loss  0.872751, Average Loss  0.868939, Time  0.265640
2021-09-16 05:58:03.345896 : Epoch  3, Batch   1190, Loss  0.897603, Average Loss  0.870237, Time  0.240135
2021-09-16 05:58:05.016205 : Epoch  5, Batch   1628, Loss  0.874841, Average Loss  0.869165, Time  0.278980
2021-09-16 05:58:05.951325 : Epoch  3, Batch   1191, Loss  0.859594, Average Loss  0.870183, Time  0.241031
2021-09-16 05:58:08.094701 : Epoch  5, Batch   1629, Loss  0.875019, Average Loss  0.869231, Time  0.267589
2021-09-16 05:58:08.551375 : Epoch  3, Batch   1192, Loss  0.875039, Average Loss  0.870175, Time  0.240554
2021-09-16 05:58:11.119290 : Epoch  5, Batch   1630, Loss  0.873115, Average Loss  0.869275, Time  0.265865
2021-09-16 05:58:11.130753 : Epoch  3, Batch   1193, Loss  0.880773, Average Loss  0.870172, Time  0.240110
2021-09-16 05:58:13.754964 : Epoch  3, Batch   1194, Loss  0.883261, Average Loss  0.870197, Time  0.240431
2021-09-16 05:58:14.126974 : Epoch  5, Batch   1631, Loss  0.859421, Average Loss  0.869284, Time  0.266156
2021-09-16 05:58:16.352945 : Epoch  3, Batch   1195, Loss  0.879208, Average Loss  0.870177, Time  0.241669
2021-09-16 05:58:17.153989 : Epoch  5, Batch   1632, Loss  0.860054, Average Loss  0.869272, Time  0.265741
2021-09-16 05:58:18.959456 : Epoch  3, Batch   1196, Loss  0.868051, Average Loss  0.870168, Time  0.241217
2021-09-16 05:58:20.164023 : Epoch  5, Batch   1633, Loss  0.888148, Average Loss  0.869327, Time  0.266469
2021-09-16 05:58:21.562312 : Epoch  3, Batch   1197, Loss  0.860535, Average Loss  0.870073, Time  0.241308
2021-09-16 05:58:23.198448 : Epoch  5, Batch   1634, Loss  0.862828, Average Loss  0.869339, Time  0.266334
2021-09-16 05:58:24.155668 : Epoch  3, Batch   1198, Loss  0.861074, Average Loss  0.869986, Time  0.240543
2021-09-16 05:58:26.208118 : Epoch  5, Batch   1635, Loss  0.876739, Average Loss  0.869431, Time  0.265997
2021-09-16 05:58:26.768311 : Epoch  3, Batch   1199, Loss  0.874218, Average Loss  0.869908, Time  0.240257
2021-09-16 05:58:29.227931 : Epoch  5, Batch   1636, Loss  0.893358, Average Loss  0.869625, Time  0.266257
2021-09-16 05:58:29.367530 : Epoch  3, Batch   1200, Loss  0.848380, Average Loss  0.869658, Time  0.241773
2021-09-16 05:58:31.949878 : Epoch  3, Batch   1201, Loss  0.860581, Average Loss  0.869656, Time  0.240419
2021-09-16 05:58:32.254279 : Epoch  5, Batch   1637, Loss  0.870967, Average Loss  0.869675, Time  0.267063
2021-09-16 05:58:34.561946 : Epoch  3, Batch   1202, Loss  0.869119, Average Loss  0.869651, Time  0.240923
2021-09-16 05:58:35.258962 : Epoch  5, Batch   1638, Loss  0.860161, Average Loss  0.869608, Time  0.265549
2021-09-16 05:58:37.156503 : Epoch  3, Batch   1203, Loss  0.868041, Average Loss  0.869688, Time  0.240767
2021-09-16 05:58:38.258636 : Epoch  5, Batch   1639, Loss  0.860074, Average Loss  0.869579, Time  0.265458
2021-09-16 05:58:39.753055 : Epoch  3, Batch   1204, Loss  0.865728, Average Loss  0.869731, Time  0.240224
2021-09-16 05:58:41.250915 : Epoch  5, Batch   1640, Loss  0.873345, Average Loss  0.869577, Time  0.265168
2021-09-16 05:58:42.354488 : Epoch  3, Batch   1205, Loss  0.844004, Average Loss  0.869556, Time  0.242313
2021-09-16 05:58:44.232183 : Epoch  5, Batch   1641, Loss  0.878146, Average Loss  0.869661, Time  0.265658
2021-09-16 05:58:44.954892 : Epoch  3, Batch   1206, Loss  0.875172, Average Loss  0.869584, Time  0.240347
2021-09-16 05:58:47.244556 : Epoch  5, Batch   1642, Loss  0.872999, Average Loss  0.869748, Time  0.266224
2021-09-16 05:58:47.544878 : Epoch  3, Batch   1207, Loss  0.865206, Average Loss  0.869562, Time  0.243133
2021-09-16 05:58:50.125391 : Epoch  3, Batch   1208, Loss  0.871717, Average Loss  0.869581, Time  0.240665
2021-09-16 05:58:50.279792 : Epoch  5, Batch   1643, Loss  0.876310, Average Loss  0.869909, Time  0.280246
2021-09-16 05:58:52.727425 : Epoch  3, Batch   1209, Loss  0.880765, Average Loss  0.869564, Time  0.240318
2021-09-16 05:58:53.275931 : Epoch  5, Batch   1644, Loss  0.888959, Average Loss  0.870050, Time  0.265904
2021-09-16 05:58:55.307842 : Epoch  3, Batch   1210, Loss  0.871786, Average Loss  0.869473, Time  0.240848
2021-09-16 05:58:56.261791 : Epoch  5, Batch   1645, Loss  0.886869, Average Loss  0.870139, Time  0.266768
2021-09-16 05:58:57.896357 : Epoch  3, Batch   1211, Loss  0.873742, Average Loss  0.869404, Time  0.239953
2021-09-16 05:58:59.271800 : Epoch  5, Batch   1646, Loss  0.879546, Average Loss  0.870255, Time  0.266525
2021-09-16 05:59:00.495979 : Epoch  3, Batch   1212, Loss  0.866724, Average Loss  0.869527, Time  0.240843
2021-09-16 05:59:02.281513 : Epoch  5, Batch   1647, Loss  0.867775, Average Loss  0.870259, Time  0.266203
2021-09-16 05:59:03.089982 : Epoch  3, Batch   1213, Loss  0.900326, Average Loss  0.869636, Time  0.239912
2021-09-16 05:59:05.277242 : Epoch  5, Batch   1648, Loss  0.884635, Average Loss  0.870364, Time  0.267415
2021-09-16 05:59:05.690007 : Epoch  3, Batch   1214, Loss  0.873802, Average Loss  0.869767, Time  0.239631
2021-09-16 05:59:08.257383 : Epoch  3, Batch   1215, Loss  0.894898, Average Loss  0.869878, Time  0.239925
2021-09-16 05:59:08.284902 : Epoch  5, Batch   1649, Loss  0.873304, Average Loss  0.870393, Time  0.266175
2021-09-16 05:59:10.855905 : Epoch  3, Batch   1216, Loss  0.881762, Average Loss  0.869925, Time  0.240443
2021-09-16 05:59:11.276933 : Epoch  5, Batch   1650, Loss  0.868650, Average Loss  0.870392, Time  0.264341
2021-09-16 05:59:13.455619 : Epoch  3, Batch   1217, Loss  0.876781, Average Loss  0.869999, Time  0.241963
2021-09-16 05:59:14.278306 : Epoch  5, Batch   1651, Loss  0.870043, Average Loss  0.870421, Time  0.265771
2021-09-16 05:59:16.055617 : Epoch  3, Batch   1218, Loss  0.872455, Average Loss  0.869905, Time  0.240966
2021-09-16 05:59:17.301233 : Epoch  5, Batch   1652, Loss  0.872990, Average Loss  0.870533, Time  0.266559
2021-09-16 05:59:18.657927 : Epoch  3, Batch   1219, Loss  0.861193, Average Loss  0.869867, Time  0.240661
2021-09-16 05:59:20.326705 : Epoch  5, Batch   1653, Loss  0.878545, Average Loss  0.870525, Time  0.266134
2021-09-16 05:59:21.261455 : Epoch  3, Batch   1220, Loss  0.869063, Average Loss  0.869925, Time  0.242585
2021-09-16 05:59:23.333922 : Epoch  5, Batch   1654, Loss  0.890969, Average Loss  0.870621, Time  0.265107
2021-09-16 05:59:23.855052 : Epoch  3, Batch   1221, Loss  0.870712, Average Loss  0.869998, Time  0.241468
2021-09-16 05:59:26.322530 : Epoch  5, Batch   1655, Loss  0.876611, Average Loss  0.870715, Time  0.265916
2021-09-16 05:59:26.459862 : Epoch  3, Batch   1222, Loss  0.900811, Average Loss  0.870241, Time  0.241369
2021-09-16 05:59:29.053941 : Epoch  3, Batch   1223, Loss  0.880656, Average Loss  0.870215, Time  0.241097
2021-09-16 05:59:29.323454 : Epoch  5, Batch   1656, Loss  0.867561, Average Loss  0.870653, Time  0.265461
2021-09-16 05:59:31.659300 : Epoch  3, Batch   1224, Loss  0.884175, Average Loss  0.870307, Time  0.240645
2021-09-16 05:59:32.293990 : Epoch  5, Batch   1657, Loss  0.859907, Average Loss  0.870514, Time  0.264915
2021-09-16 05:59:34.274815 : Epoch  3, Batch   1225, Loss  0.847193, Average Loss  0.870114, Time  0.242432
2021-09-16 05:59:35.297567 : Epoch  5, Batch   1658, Loss  0.857424, Average Loss  0.870473, Time  0.278151
2021-09-16 05:59:36.866400 : Epoch  3, Batch   1226, Loss  0.876838, Average Loss  0.870244, Time  0.241003
2021-09-16 05:59:38.328861 : Epoch  5, Batch   1659, Loss  0.873295, Average Loss  0.870550, Time  0.265766
2021-09-16 05:59:39.456846 : Epoch  3, Batch   1227, Loss  0.861953, Average Loss  0.870207, Time  0.240809
2021-09-16 05:59:41.357417 : Epoch  5, Batch   1660, Loss  0.871913, Average Loss  0.870613, Time  0.266279
2021-09-16 05:59:42.065169 : Epoch  3, Batch   1228, Loss  0.872722, Average Loss  0.870282, Time  0.241010
2021-09-16 05:59:44.365345 : Epoch  5, Batch   1661, Loss  0.870502, Average Loss  0.870538, Time  0.265500
2021-09-16 05:59:44.668239 : Epoch  3, Batch   1229, Loss  0.870545, Average Loss  0.870314, Time  0.240085
2021-09-16 05:59:47.260342 : Epoch  3, Batch   1230, Loss  0.869149, Average Loss  0.870375, Time  0.240572
2021-09-16 05:59:47.368548 : Epoch  5, Batch   1662, Loss  0.874122, Average Loss  0.870483, Time  0.266346
2021-09-16 05:59:49.857597 : Epoch  3, Batch   1231, Loss  0.881849, Average Loss  0.870394, Time  0.240003
2021-09-16 05:59:50.378077 : Epoch  5, Batch   1663, Loss  0.887792, Average Loss  0.870598, Time  0.265568
2021-09-16 05:59:52.456503 : Epoch  3, Batch   1232, Loss  0.891515, Average Loss  0.870577, Time  0.240790
2021-09-16 05:59:53.365424 : Epoch  5, Batch   1664, Loss  0.857196, Average Loss  0.870576, Time  0.265898
2021-09-16 05:59:55.054551 : Epoch  3, Batch   1233, Loss  0.875468, Average Loss  0.870514, Time  0.240226
2021-09-16 05:59:56.406842 : Epoch  5, Batch   1665, Loss  0.874179, Average Loss  0.870679, Time  0.270150
2021-09-16 05:59:57.651547 : Epoch  3, Batch   1234, Loss  0.856401, Average Loss  0.870505, Time  0.240234
2021-09-16 05:59:59.442651 : Epoch  5, Batch   1666, Loss  0.845335, Average Loss  0.870477, Time  0.265770
2021-09-16 06:00:00.243473 : Epoch  3, Batch   1235, Loss  0.871753, Average Loss  0.870448, Time  0.240450
2021-09-16 06:00:02.466456 : Epoch  5, Batch   1667, Loss  0.862638, Average Loss  0.870447, Time  0.267396
2021-09-16 06:00:02.843984 : Epoch  3, Batch   1236, Loss  0.884775, Average Loss  0.870612, Time  0.239803
2021-09-16 06:00:05.426236 : Epoch  3, Batch   1237, Loss  0.863035, Average Loss  0.870583, Time  0.240719
2021-09-16 06:00:05.484101 : Epoch  5, Batch   1668, Loss  0.861856, Average Loss  0.870444, Time  0.266352
2021-09-16 06:00:08.016550 : Epoch  3, Batch   1238, Loss  0.858687, Average Loss  0.870442, Time  0.240527
2021-09-16 06:00:08.504402 : Epoch  5, Batch   1669, Loss  0.876055, Average Loss  0.870485, Time  0.265500
2021-09-16 06:00:10.618037 : Epoch  3, Batch   1239, Loss  0.855833, Average Loss  0.870287, Time  0.240383
2021-09-16 06:00:11.496883 : Epoch  5, Batch   1670, Loss  0.856471, Average Loss  0.870360, Time  0.265698
2021-09-16 06:00:13.227038 : Epoch  3, Batch   1240, Loss  0.868687, Average Loss  0.870251, Time  0.241056
2021-09-16 06:00:14.501220 : Epoch  5, Batch   1671, Loss  0.866726, Average Loss  0.870461, Time  0.265942
2021-09-16 06:00:15.824394 : Epoch  3, Batch   1241, Loss  0.898681, Average Loss  0.870350, Time  0.241140
2021-09-16 06:00:17.504792 : Epoch  5, Batch   1672, Loss  0.872259, Average Loss  0.870421, Time  0.265612
2021-09-16 06:00:18.420810 : Epoch  3, Batch   1242, Loss  0.882813, Average Loss  0.870399, Time  0.242410
2021-09-16 06:00:20.507655 : Epoch  5, Batch   1673, Loss  0.867949, Average Loss  0.870318, Time  0.277168
2021-09-16 06:00:21.016474 : Epoch  3, Batch   1243, Loss  0.869162, Average Loss  0.870305, Time  0.241048
2021-09-16 06:00:23.500977 : Epoch  5, Batch   1674, Loss  0.866158, Average Loss  0.870356, Time  0.265199
2021-09-16 06:00:23.613434 : Epoch  3, Batch   1244, Loss  0.874262, Average Loss  0.870324, Time  0.241252
2021-09-16 06:00:26.206389 : Epoch  3, Batch   1245, Loss  0.877591, Average Loss  0.870427, Time  0.240690
2021-09-16 06:00:26.492786 : Epoch  5, Batch   1675, Loss  0.859188, Average Loss  0.870315, Time  0.265399
2021-09-16 06:00:28.796465 : Epoch  3, Batch   1246, Loss  0.882052, Average Loss  0.870421, Time  0.240381
2021-09-16 06:00:29.469297 : Epoch  5, Batch   1676, Loss  0.840490, Average Loss  0.870152, Time  0.265581
2021-09-16 06:00:31.413053 : Epoch  3, Batch   1247, Loss  0.863610, Average Loss  0.870311, Time  0.240934
2021-09-16 06:00:34.018882 : Epoch  3, Batch   1248, Loss  0.867823, Average Loss  0.870230, Time  0.240378
2021-09-16 06:00:36.610580 : Epoch  3, Batch   1249, Loss  0.861585, Average Loss  0.870184, Time  0.240076
2021-09-16 06:00:39.195810 : Epoch  3, Batch   1250, Loss  0.881572, Average Loss  0.870208, Time  0.241046
2021-09-16 06:00:41.795107 : Epoch  3, Batch   1251, Loss  0.875624, Average Loss  0.870222, Time  0.240132
2021-09-16 06:00:44.396531 : Epoch  3, Batch   1252, Loss  0.874832, Average Loss  0.870072, Time  0.240927
2021-09-16 06:00:46.989014 : Epoch  3, Batch   1253, Loss  0.851642, Average Loss  0.869954, Time  0.240927
2021-09-16 06:00:49.587865 : Epoch  3, Batch   1254, Loss  0.872436, Average Loss  0.870042, Time  0.240237
2021-09-16 06:00:52.180042 : Epoch  3, Batch   1255, Loss  0.877189, Average Loss  0.870039, Time  0.239998
2021-09-16 06:00:54.782773 : Epoch  3, Batch   1256, Loss  0.874523, Average Loss  0.870173, Time  0.240532
2021-09-16 06:00:57.382058 : Epoch  3, Batch   1257, Loss  0.870446, Average Loss  0.870143, Time  0.240863
2021-09-16 06:00:59.989997 : Epoch  3, Batch   1258, Loss  0.844507, Average Loss  0.869973, Time  0.240106
2021-09-16 06:01:02.597177 : Epoch  3, Batch   1259, Loss  0.859661, Average Loss  0.869945, Time  0.240933
2021-09-16 06:01:05.189865 : Epoch  3, Batch   1260, Loss  0.879342, Average Loss  0.870132, Time  0.240871
2021-09-16 06:01:07.780939 : Epoch  3, Batch   1261, Loss  0.876315, Average Loss  0.870215, Time  0.240380
2021-09-16 06:01:10.382736 : Epoch  3, Batch   1262, Loss  0.881849, Average Loss  0.870362, Time  0.240564
2021-09-16 06:01:12.976863 : Epoch  3, Batch   1263, Loss  0.884868, Average Loss  0.870547, Time  0.240419
2021-09-16 06:01:15.577043 : Epoch  3, Batch   1264, Loss  0.851420, Average Loss  0.870447, Time  0.240260
2021-09-16 06:01:18.177927 : Epoch  3, Batch   1265, Loss  0.879017, Average Loss  0.870611, Time  0.241393
2021-09-16 06:01:20.769258 : Epoch  3, Batch   1266, Loss  0.850714, Average Loss  0.870610, Time  0.240176
2021-09-16 06:01:23.381969 : Epoch  3, Batch   1267, Loss  0.872935, Average Loss  0.870571, Time  0.241124
2021-09-16 06:01:25.976407 : Epoch  3, Batch   1268, Loss  0.889264, Average Loss  0.870613, Time  0.239924
2021-09-16 06:01:28.593615 : Epoch  3, Batch   1269, Loss  0.855732, Average Loss  0.870494, Time  0.239971
2021-09-16 06:01:31.192238 : Epoch  3, Batch   1270, Loss  0.867747, Average Loss  0.870536, Time  0.240379
2021-09-16 06:01:33.793420 : Epoch  3, Batch   1271, Loss  0.873201, Average Loss  0.870595, Time  0.240683
2021-09-16 06:01:36.386175 : Epoch  3, Batch   1272, Loss  0.854585, Average Loss  0.870569, Time  0.240351
2021-09-16 06:01:38.995890 : Epoch  3, Batch   1273, Loss  0.872149, Average Loss  0.870607, Time  0.240535
2021-09-16 06:01:41.596203 : Epoch  3, Batch   1274, Loss  0.874572, Average Loss  0.870556, Time  0.240245
2021-09-16 06:01:44.199079 : Epoch  3, Batch   1275, Loss  0.872105, Average Loss  0.870562, Time  0.240011
2021-09-16 06:01:46.816418 : Epoch  3, Batch   1276, Loss  0.858089, Average Loss  0.870489, Time  0.240077
2021-09-16 06:01:49.413997 : Epoch  3, Batch   1277, Loss  0.849207, Average Loss  0.870386, Time  0.240166
2021-09-16 06:01:52.017925 : Epoch  3, Batch   1278, Loss  0.874463, Average Loss  0.870543, Time  0.241265
2021-09-16 06:01:54.616883 : Epoch  3, Batch   1279, Loss  0.865833, Average Loss  0.870551, Time  0.240122
2021-09-16 06:01:57.244825 : Epoch  3, Batch   1280, Loss  0.865658, Average Loss  0.870484, Time  0.240904
2021-09-16 06:01:59.847661 : Epoch  3, Batch   1281, Loss  0.863521, Average Loss  0.870564, Time  0.239664
2021-09-16 06:02:02.438830 : Epoch  3, Batch   1282, Loss  0.861094, Average Loss  0.870417, Time  0.240227
2021-09-16 06:02:05.041782 : Epoch  3, Batch   1283, Loss  0.847077, Average Loss  0.870385, Time  0.241585
2021-09-16 06:02:07.655653 : Epoch  3, Batch   1284, Loss  0.878623, Average Loss  0.870536, Time  0.242142
2021-09-16 06:02:10.239803 : Epoch  3, Batch   1285, Loss  0.862237, Average Loss  0.870522, Time  0.240200
2021-09-16 06:02:12.835896 : Epoch  3, Batch   1286, Loss  0.891160, Average Loss  0.870516, Time  0.240243
2021-09-16 06:02:15.432259 : Epoch  3, Batch   1287, Loss  0.876688, Average Loss  0.870586, Time  0.240685
2021-09-16 06:02:26.845353 : Epoch  3, Batch   1288, Loss  0.860310, Average Loss  0.870631, Time  0.281672
2021-09-16 06:05:09.169704 : CheckPoint: Validation Loss  0.00030041, Best Loss  0.00029295
2021-09-16 06:05:12.200697 : Epoch  5, Batch   1677, Loss  0.866120, Average Loss  0.870139, Time  0.269109
2021-09-16 06:05:15.229453 : Epoch  5, Batch   1678, Loss  0.865052, Average Loss  0.870072, Time  0.265753
2021-09-16 06:05:18.242143 : Epoch  5, Batch   1679, Loss  0.856861, Average Loss  0.869981, Time  0.266128
2021-09-16 06:05:21.260845 : Epoch  5, Batch   1680, Loss  0.873128, Average Loss  0.869947, Time  0.266601
2021-09-16 06:05:24.292356 : Epoch  5, Batch   1681, Loss  0.866996, Average Loss  0.869860, Time  0.265100
2021-09-16 06:05:27.282401 : Epoch  5, Batch   1682, Loss  0.867105, Average Loss  0.869846, Time  0.265983
2021-09-16 06:05:30.290568 : Epoch  5, Batch   1683, Loss  0.874113, Average Loss  0.869840, Time  0.265574
2021-09-16 06:05:33.287629 : Epoch  5, Batch   1684, Loss  0.882535, Average Loss  0.869906, Time  0.266423
2021-09-16 06:05:36.299384 : Epoch  5, Batch   1685, Loss  0.882327, Average Loss  0.870019, Time  0.266848
2021-09-16 06:05:39.305482 : Epoch  5, Batch   1686, Loss  0.872112, Average Loss  0.870020, Time  0.267107
2021-09-16 06:05:42.361298 : Epoch  5, Batch   1687, Loss  0.884269, Average Loss  0.870023, Time  0.265958
2021-09-16 06:05:45.365459 : Epoch  5, Batch   1688, Loss  0.863448, Average Loss  0.869883, Time  0.272279
2021-09-16 06:05:48.372874 : Epoch  5, Batch   1689, Loss  0.894276, Average Loss  0.870051, Time  0.266625
2021-09-16 06:05:51.374998 : Epoch  5, Batch   1690, Loss  0.863102, Average Loss  0.869962, Time  0.265636
2021-09-16 06:05:54.390528 : Epoch  5, Batch   1691, Loss  0.886792, Average Loss  0.870107, Time  0.265308
2021-09-16 06:05:57.408135 : Epoch  5, Batch   1692, Loss  0.858354, Average Loss  0.869880, Time  0.266104
2021-09-16 06:06:00.414880 : Epoch  5, Batch   1693, Loss  0.858340, Average Loss  0.869816, Time  0.265221
2021-09-16 06:06:03.453998 : Epoch  5, Batch   1694, Loss  0.852788, Average Loss  0.869716, Time  0.265872
2021-09-16 06:06:06.471381 : Epoch  5, Batch   1695, Loss  0.881594, Average Loss  0.869815, Time  0.266010
2021-09-16 06:06:09.476563 : Epoch  5, Batch   1696, Loss  0.881954, Average Loss  0.869849, Time  0.265354
2021-09-16 06:06:12.474939 : Epoch  5, Batch   1697, Loss  0.856570, Average Loss  0.869796, Time  0.266160
2021-09-16 06:06:15.471885 : Epoch  5, Batch   1698, Loss  0.883997, Average Loss  0.869990, Time  0.265130
2021-09-16 06:06:18.509318 : Epoch  5, Batch   1699, Loss  0.875740, Average Loss  0.870031, Time  0.265089
2021-09-16 06:06:21.501074 : Epoch  5, Batch   1700, Loss  0.885186, Average Loss  0.870038, Time  0.265824
2021-09-16 06:06:24.511366 : Epoch  5, Batch   1701, Loss  0.873871, Average Loss  0.870020, Time  0.267293
2021-09-16 06:06:27.409758 : CheckPoint: Validation Loss  0.00030100, Best Loss  0.00029226
2021-09-16 06:06:27.502050 : Epoch  5, Batch   1702, Loss  0.876223, Average Loss  0.870058, Time  0.265547
2021-09-16 06:06:30.006992 : Epoch  3, Batch   1289, Loss  0.852623, Average Loss  0.870682, Time  0.240964
2021-09-16 06:06:30.559987 : Epoch  5, Batch   1703, Loss  0.851334, Average Loss  0.869961, Time  0.278537
2021-09-16 06:06:32.601001 : Epoch  3, Batch   1290, Loss  0.894942, Average Loss  0.870752, Time  0.241799
2021-09-16 06:06:33.599874 : Epoch  5, Batch   1704, Loss  0.877617, Average Loss  0.869989, Time  0.269383
2021-09-16 06:06:35.207035 : Epoch  3, Batch   1291, Loss  0.869239, Average Loss  0.870754, Time  0.241085
2021-09-16 06:06:36.596117 : Epoch  5, Batch   1705, Loss  0.876507, Average Loss  0.870078, Time  0.265922
2021-09-16 06:06:37.808032 : Epoch  3, Batch   1292, Loss  0.893382, Average Loss  0.870890, Time  0.240035
2021-09-16 06:06:39.569676 : Epoch  5, Batch   1706, Loss  0.875119, Average Loss  0.870011, Time  0.265982
2021-09-16 06:06:40.418849 : Epoch  3, Batch   1293, Loss  0.879306, Average Loss  0.871026, Time  0.239686
2021-09-16 06:06:42.574220 : Epoch  5, Batch   1707, Loss  0.866698, Average Loss  0.869943, Time  0.266247
2021-09-16 06:06:43.013968 : Epoch  3, Batch   1294, Loss  0.867231, Average Loss  0.871102, Time  0.242481
2021-09-16 06:06:45.570812 : Epoch  5, Batch   1708, Loss  0.869775, Average Loss  0.870000, Time  0.266431
2021-09-16 06:06:45.604148 : Epoch  3, Batch   1295, Loss  0.854352, Average Loss  0.870939, Time  0.240880
2021-09-16 06:06:48.193711 : Epoch  3, Batch   1296, Loss  0.855333, Average Loss  0.870899, Time  0.240614
2021-09-16 06:06:48.601479 : Epoch  5, Batch   1709, Loss  0.873662, Average Loss  0.870056, Time  0.266613
2021-09-16 06:06:50.802917 : Epoch  3, Batch   1297, Loss  0.859248, Average Loss  0.870883, Time  0.240770
2021-09-16 06:06:51.598971 : Epoch  5, Batch   1710, Loss  0.868371, Average Loss  0.870083, Time  0.266035
2021-09-16 06:06:53.396021 : Epoch  3, Batch   1298, Loss  0.869127, Average Loss  0.870769, Time  0.240874
2021-09-16 06:06:54.636386 : Epoch  5, Batch   1711, Loss  0.868412, Average Loss  0.870117, Time  0.266510
2021-09-16 06:06:55.991911 : Epoch  3, Batch   1299, Loss  0.870609, Average Loss  0.870778, Time  0.241386
2021-09-16 06:06:57.646889 : Epoch  5, Batch   1712, Loss  0.891356, Average Loss  0.870243, Time  0.265700
2021-09-16 06:06:58.587236 : Epoch  3, Batch   1300, Loss  0.869020, Average Loss  0.870688, Time  0.243801
2021-09-16 06:07:00.645005 : Epoch  5, Batch   1713, Loss  0.863044, Average Loss  0.870128, Time  0.265212
2021-09-16 06:07:01.189192 : Epoch  3, Batch   1301, Loss  0.873233, Average Loss  0.870698, Time  0.241360
2021-09-16 06:07:03.658112 : Epoch  5, Batch   1714, Loss  0.874779, Average Loss  0.870226, Time  0.265905
2021-09-16 06:07:03.780186 : Epoch  3, Batch   1302, Loss  0.861777, Average Loss  0.870632, Time  0.241014
2021-09-16 06:07:06.367086 : Epoch  3, Batch   1303, Loss  0.893665, Average Loss  0.870655, Time  0.240102
2021-09-16 06:07:06.683821 : Epoch  5, Batch   1715, Loss  0.880244, Average Loss  0.870270, Time  0.266474
2021-09-16 06:07:08.987291 : Epoch  3, Batch   1304, Loss  0.893787, Average Loss  0.870837, Time  0.241316
2021-09-16 06:07:09.663085 : Epoch  5, Batch   1716, Loss  0.872439, Average Loss  0.870211, Time  0.266713
2021-09-16 06:07:11.593196 : Epoch  3, Batch   1305, Loss  0.862545, Average Loss  0.870890, Time  0.240528
2021-09-16 06:07:12.683216 : Epoch  5, Batch   1717, Loss  0.853638, Average Loss  0.870003, Time  0.265008
2021-09-16 06:07:14.190057 : Epoch  3, Batch   1306, Loss  0.880127, Average Loss  0.870932, Time  0.241088
2021-09-16 06:07:15.681967 : Epoch  5, Batch   1718, Loss  0.865304, Average Loss  0.869954, Time  0.277309
2021-09-16 06:07:16.799069 : Epoch  3, Batch   1307, Loss  0.859543, Average Loss  0.870786, Time  0.240163
2021-09-16 06:07:18.717982 : Epoch  5, Batch   1719, Loss  0.865239, Average Loss  0.869843, Time  0.266652
2021-09-16 06:07:19.387965 : Epoch  3, Batch   1308, Loss  0.878647, Average Loss  0.870827, Time  0.240865
2021-09-16 06:07:21.751194 : Epoch  5, Batch   1720, Loss  0.877138, Average Loss  0.869865, Time  0.267003
2021-09-16 06:07:21.984389 : Epoch  3, Batch   1309, Loss  0.871074, Average Loss  0.870918, Time  0.239750
2021-09-16 06:07:24.566874 : Epoch  3, Batch   1310, Loss  0.875175, Average Loss  0.870956, Time  0.241213
2021-09-16 06:07:24.784827 : Epoch  5, Batch   1721, Loss  0.875244, Average Loss  0.869717, Time  0.265140
2021-09-16 06:07:27.163759 : Epoch  3, Batch   1311, Loss  0.873460, Average Loss  0.870984, Time  0.242503
2021-09-16 06:07:27.789038 : Epoch  5, Batch   1722, Loss  0.865813, Average Loss  0.869713, Time  0.265528
2021-09-16 06:07:29.757056 : Epoch  3, Batch   1312, Loss  0.870351, Average Loss  0.870844, Time  0.241418
2021-09-16 06:07:30.782399 : Epoch  5, Batch   1723, Loss  0.876611, Average Loss  0.869726, Time  0.265349
2021-09-16 06:07:32.340441 : Epoch  3, Batch   1313, Loss  0.858257, Average Loss  0.870811, Time  0.240015
2021-09-16 06:07:33.821560 : Epoch  5, Batch   1724, Loss  0.860595, Average Loss  0.869744, Time  0.266498
2021-09-16 06:07:34.938335 : Epoch  3, Batch   1314, Loss  0.878463, Average Loss  0.870851, Time  0.240087
2021-09-16 06:07:36.829444 : Epoch  5, Batch   1725, Loss  0.863822, Average Loss  0.869723, Time  0.265426
2021-09-16 06:07:37.550633 : Epoch  3, Batch   1315, Loss  0.895786, Average Loss  0.870963, Time  0.241742
2021-09-16 06:07:39.825755 : Epoch  5, Batch   1726, Loss  0.888037, Average Loss  0.869873, Time  0.266053
2021-09-16 06:07:40.138267 : Epoch  3, Batch   1316, Loss  0.866589, Average Loss  0.870950, Time  0.240525
2021-09-16 06:07:42.727014 : Epoch  3, Batch   1317, Loss  0.869587, Average Loss  0.870893, Time  0.240231
2021-09-16 06:07:42.818211 : Epoch  5, Batch   1727, Loss  0.887328, Average Loss  0.870035, Time  0.266430
2021-09-16 06:07:45.326434 : Epoch  3, Batch   1318, Loss  0.854560, Average Loss  0.870722, Time  0.240185
2021-09-16 06:07:45.838103 : Epoch  5, Batch   1728, Loss  0.849930, Average Loss  0.870013, Time  0.266805
2021-09-16 06:07:47.918840 : Epoch  3, Batch   1319, Loss  0.857538, Average Loss  0.870617, Time  0.240118
2021-09-16 06:07:48.835167 : Epoch  5, Batch   1729, Loss  0.876429, Average Loss  0.870045, Time  0.267188
2021-09-16 06:07:50.516491 : Epoch  3, Batch   1320, Loss  0.867333, Average Loss  0.870625, Time  0.239870
2021-09-16 06:07:51.833862 : Epoch  5, Batch   1730, Loss  0.854782, Average Loss  0.870107, Time  0.265611
2021-09-16 06:07:53.116486 : Epoch  3, Batch   1321, Loss  0.876835, Average Loss  0.870627, Time  0.240016
2021-09-16 06:07:54.843338 : Epoch  5, Batch   1731, Loss  0.839094, Average Loss  0.869998, Time  0.265918
2021-09-16 06:07:55.715617 : Epoch  3, Batch   1322, Loss  0.859828, Average Loss  0.870528, Time  0.240869
2021-09-16 06:07:57.842450 : Epoch  5, Batch   1732, Loss  0.860469, Average Loss  0.869801, Time  0.265358
2021-09-16 06:07:58.320411 : Epoch  3, Batch   1323, Loss  0.870804, Average Loss  0.870459, Time  0.241246
2021-09-16 06:08:00.845665 : Epoch  5, Batch   1733, Loss  0.865468, Average Loss  0.869800, Time  0.276195
2021-09-16 06:08:00.912239 : Epoch  3, Batch   1324, Loss  0.880889, Average Loss  0.870479, Time  0.242269
2021-09-16 06:08:03.501446 : Epoch  3, Batch   1325, Loss  0.889364, Average Loss  0.870566, Time  0.240195
2021-09-16 06:08:03.853356 : Epoch  5, Batch   1734, Loss  0.882722, Average Loss  0.869835, Time  0.265616
2021-09-16 06:08:06.097806 : Epoch  3, Batch   1326, Loss  0.885756, Average Loss  0.870733, Time  0.240545
2021-09-16 06:08:06.844452 : Epoch  5, Batch   1735, Loss  0.878694, Average Loss  0.869859, Time  0.264896
2021-09-16 06:08:08.731058 : Epoch  3, Batch   1327, Loss  0.851957, Average Loss  0.870651, Time  0.259608
2021-09-16 06:08:09.861681 : Epoch  5, Batch   1736, Loss  0.861750, Average Loss  0.869828, Time  0.265319
2021-09-16 06:08:11.330095 : Epoch  3, Batch   1328, Loss  0.877093, Average Loss  0.870738, Time  0.240625
2021-09-16 06:08:12.872006 : Epoch  5, Batch   1737, Loss  0.856210, Average Loss  0.869741, Time  0.265819
2021-09-16 06:08:13.916512 : Epoch  3, Batch   1329, Loss  0.859608, Average Loss  0.870631, Time  0.239749
2021-09-16 06:08:15.865261 : Epoch  5, Batch   1738, Loss  0.870075, Average Loss  0.869823, Time  0.265450
2021-09-16 06:08:16.519148 : Epoch  3, Batch   1330, Loss  0.888074, Average Loss  0.870693, Time  0.240164
2021-09-16 06:08:18.885938 : Epoch  5, Batch   1739, Loss  0.858390, Average Loss  0.869674, Time  0.265236
2021-09-16 06:08:19.121866 : Epoch  3, Batch   1331, Loss  0.878715, Average Loss  0.870792, Time  0.240895
2021-09-16 06:08:21.698179 : Epoch  3, Batch   1332, Loss  0.881069, Average Loss  0.870817, Time  0.239814
2021-09-16 06:08:21.914900 : Epoch  5, Batch   1740, Loss  0.848766, Average Loss  0.869645, Time  0.265306
2021-09-16 06:08:24.293037 : Epoch  3, Batch   1333, Loss  0.852553, Average Loss  0.870842, Time  0.241375
2021-09-16 06:08:24.903483 : Epoch  5, Batch   1741, Loss  0.871050, Average Loss  0.869554, Time  0.265373
2021-09-16 06:08:26.883408 : Epoch  3, Batch   1334, Loss  0.867970, Average Loss  0.870833, Time  0.240810
2021-09-16 06:08:27.896192 : Epoch  5, Batch   1742, Loss  0.882744, Average Loss  0.869579, Time  0.266142
2021-09-16 06:08:29.476031 : Epoch  3, Batch   1335, Loss  0.851267, Average Loss  0.870686, Time  0.240173
2021-09-16 06:08:30.912026 : Epoch  5, Batch   1743, Loss  0.872601, Average Loss  0.869622, Time  0.265431
2021-09-16 06:08:32.080616 : Epoch  3, Batch   1336, Loss  0.875388, Average Loss  0.870695, Time  0.240391
2021-09-16 06:08:33.924955 : Epoch  5, Batch   1744, Loss  0.895063, Average Loss  0.869835, Time  0.266504
2021-09-16 06:08:34.678017 : Epoch  3, Batch   1337, Loss  0.876863, Average Loss  0.870720, Time  0.240842
2021-09-16 06:08:36.956211 : Epoch  5, Batch   1745, Loss  0.884512, Average Loss  0.869880, Time  0.266203
2021-09-16 06:08:37.266853 : Epoch  3, Batch   1338, Loss  0.897450, Average Loss  0.870923, Time  0.240073
2021-09-16 06:08:39.850900 : Epoch  3, Batch   1339, Loss  0.875430, Average Loss  0.870942, Time  0.240188
2021-09-16 06:08:39.952136 : Epoch  5, Batch   1746, Loss  0.856919, Average Loss  0.869837, Time  0.265686
2021-09-16 06:08:42.443787 : Epoch  3, Batch   1340, Loss  0.874815, Average Loss  0.870983, Time  0.240255
2021-09-16 06:08:42.980595 : Epoch  5, Batch   1747, Loss  0.876238, Average Loss  0.869820, Time  0.266955
2021-09-16 06:08:45.045265 : Epoch  3, Batch   1341, Loss  0.855662, Average Loss  0.870929, Time  0.240475
2021-09-16 06:08:46.020102 : Epoch  5, Batch   1748, Loss  0.853972, Average Loss  0.869846, Time  0.271982
2021-09-16 06:08:47.642018 : Epoch  3, Batch   1342, Loss  0.865208, Average Loss  0.871030, Time  0.240966
2021-09-16 06:08:49.047700 : Epoch  5, Batch   1749, Loss  0.902920, Average Loss  0.869994, Time  0.265687
2021-09-16 06:08:50.243945 : Epoch  3, Batch   1343, Loss  0.869012, Average Loss  0.870930, Time  0.240139
2021-09-16 06:08:52.054896 : Epoch  5, Batch   1750, Loss  0.859845, Average Loss  0.870037, Time  0.265757
2021-09-16 06:08:52.833844 : Epoch  3, Batch   1344, Loss  0.880747, Average Loss  0.870923, Time  0.239920
2021-09-16 06:08:55.093990 : Epoch  5, Batch   1751, Loss  0.853629, Average Loss  0.869997, Time  0.266090
2021-09-16 06:08:55.436452 : Epoch  3, Batch   1345, Loss  0.877031, Average Loss  0.870881, Time  0.240855
2021-09-16 06:08:58.028840 : Epoch  3, Batch   1346, Loss  0.862070, Average Loss  0.870728, Time  0.243771
2021-09-16 06:08:58.107395 : Epoch  5, Batch   1752, Loss  0.875043, Average Loss  0.870096, Time  0.265881
2021-09-16 06:09:00.626091 : Epoch  3, Batch   1347, Loss  0.862970, Average Loss  0.870656, Time  0.241014
2021-09-16 06:09:01.119892 : Epoch  5, Batch   1753, Loss  0.843111, Average Loss  0.869973, Time  0.265643
2021-09-16 06:09:03.234185 : Epoch  3, Batch   1348, Loss  0.862700, Average Loss  0.870686, Time  0.241201
2021-09-16 06:09:04.125143 : Epoch  5, Batch   1754, Loss  0.845895, Average Loss  0.869797, Time  0.265263
2021-09-16 06:09:05.825897 : Epoch  3, Batch   1349, Loss  0.878255, Average Loss  0.870687, Time  0.240343
2021-09-16 06:09:07.126532 : Epoch  5, Batch   1755, Loss  0.862826, Average Loss  0.869828, Time  0.265411
2021-09-16 06:09:08.415873 : Epoch  3, Batch   1350, Loss  0.887589, Average Loss  0.870857, Time  0.240377
2021-09-16 06:09:10.130103 : Epoch  5, Batch   1756, Loss  0.867997, Average Loss  0.869795, Time  0.264952
2021-09-16 06:09:11.009110 : Epoch  3, Batch   1351, Loss  0.863006, Average Loss  0.870764, Time  0.240813
2021-09-16 06:09:13.149272 : Epoch  5, Batch   1757, Loss  0.863776, Average Loss  0.869839, Time  0.265683
2021-09-16 06:09:13.611924 : Epoch  3, Batch   1352, Loss  0.874772, Average Loss  0.870790, Time  0.241454
2021-09-16 06:09:16.152308 : Epoch  5, Batch   1758, Loss  0.878603, Average Loss  0.869890, Time  0.265665
2021-09-16 06:09:16.201760 : Epoch  3, Batch   1353, Loss  0.882023, Average Loss  0.870913, Time  0.240824
2021-09-16 06:09:18.796613 : Epoch  3, Batch   1354, Loss  0.854754, Average Loss  0.870850, Time  0.241556
2021-09-16 06:09:19.154331 : Epoch  5, Batch   1759, Loss  0.881306, Average Loss  0.869988, Time  0.265753
2021-09-16 06:09:21.391902 : Epoch  3, Batch   1355, Loss  0.857598, Average Loss  0.870844, Time  0.240650
2021-09-16 06:09:22.159020 : Epoch  5, Batch   1760, Loss  0.869998, Average Loss  0.870013, Time  0.264333
2021-09-16 06:09:23.981960 : Epoch  3, Batch   1356, Loss  0.867172, Average Loss  0.870828, Time  0.240754
2021-09-16 06:09:25.192733 : Epoch  5, Batch   1761, Loss  0.873787, Average Loss  0.870126, Time  0.264781
2021-09-16 06:09:26.578887 : Epoch  3, Batch   1357, Loss  0.864577, Average Loss  0.870775, Time  0.239974
2021-09-16 06:09:28.187279 : Epoch  5, Batch   1762, Loss  0.860182, Average Loss  0.870022, Time  0.265429
2021-09-16 06:09:29.182900 : Epoch  3, Batch   1358, Loss  0.865131, Average Loss  0.870709, Time  0.240051
2021-09-16 06:09:31.245053 : Epoch  5, Batch   1763, Loss  0.860695, Average Loss  0.869916, Time  0.277012
2021-09-16 06:09:31.782429 : Epoch  3, Batch   1359, Loss  0.856978, Average Loss  0.870631, Time  0.239749
2021-09-16 06:09:34.254514 : Epoch  5, Batch   1764, Loss  0.863834, Average Loss  0.869838, Time  0.265615
2021-09-16 06:09:34.362834 : Epoch  3, Batch   1360, Loss  0.874614, Average Loss  0.870693, Time  0.240254
2021-09-16 06:09:36.958089 : Epoch  3, Batch   1361, Loss  0.872757, Average Loss  0.870706, Time  0.240772
2021-09-16 06:09:37.264525 : Epoch  5, Batch   1765, Loss  0.868496, Average Loss  0.869874, Time  0.266623
2021-09-16 06:09:39.553720 : Epoch  3, Batch   1362, Loss  0.876775, Average Loss  0.870656, Time  0.240277
2021-09-16 06:09:40.268008 : Epoch  5, Batch   1766, Loss  0.861487, Average Loss  0.869771, Time  0.266915
2021-09-16 06:09:42.150129 : Epoch  3, Batch   1363, Loss  0.867122, Average Loss  0.870540, Time  0.240680
2021-09-16 06:09:43.298057 : Epoch  5, Batch   1767, Loss  0.877494, Average Loss  0.869816, Time  0.265659
2021-09-16 06:09:44.742117 : Epoch  3, Batch   1364, Loss  0.870572, Average Loss  0.870606, Time  0.240290
2021-09-16 06:09:46.297528 : Epoch  5, Batch   1768, Loss  0.879191, Average Loss  0.869841, Time  0.265705
2021-09-16 06:09:47.336089 : Epoch  3, Batch   1365, Loss  0.866212, Average Loss  0.870608, Time  0.242004
2021-09-16 06:09:49.323044 : Epoch  5, Batch   1769, Loss  0.868224, Average Loss  0.869890, Time  0.266021
2021-09-16 06:09:49.935160 : Epoch  3, Batch   1366, Loss  0.863957, Average Loss  0.870585, Time  0.240196
2021-09-16 06:09:52.331504 : Epoch  5, Batch   1770, Loss  0.882354, Average Loss  0.870095, Time  0.265385
2021-09-16 06:09:52.539429 : Epoch  3, Batch   1367, Loss  0.866721, Average Loss  0.870543, Time  0.240565
2021-09-16 06:09:55.140696 : Epoch  3, Batch   1368, Loss  0.889877, Average Loss  0.870613, Time  0.241070
2021-09-16 06:09:55.331691 : Epoch  5, Batch   1771, Loss  0.878559, Average Loss  0.870091, Time  0.265247
2021-09-16 06:09:57.736282 : Epoch  3, Batch   1369, Loss  0.881832, Average Loss  0.870790, Time  0.241734
2021-09-16 06:09:58.356340 : Epoch  5, Batch   1772, Loss  0.873926, Average Loss  0.870049, Time  0.265047
2021-09-16 06:10:00.345142 : Epoch  3, Batch   1370, Loss  0.845096, Average Loss  0.870585, Time  0.239959
2021-09-16 06:10:01.391820 : Epoch  5, Batch   1773, Loss  0.891402, Average Loss  0.870193, Time  0.267100
2021-09-16 06:10:02.958904 : Epoch  3, Batch   1371, Loss  0.862561, Average Loss  0.870478, Time  0.241534
2021-09-16 06:10:04.395427 : Epoch  5, Batch   1774, Loss  0.859029, Average Loss  0.870095, Time  0.265380
2021-09-16 06:10:05.561995 : Epoch  3, Batch   1372, Loss  0.875032, Average Loss  0.870602, Time  0.240540
2021-09-16 06:10:07.396486 : Epoch  5, Batch   1775, Loss  0.876735, Average Loss  0.870225, Time  0.265181
2021-09-16 06:10:08.165912 : Epoch  3, Batch   1373, Loss  0.873770, Average Loss  0.870565, Time  0.241045
2021-09-16 06:10:10.400968 : Epoch  5, Batch   1776, Loss  0.861805, Average Loss  0.870234, Time  0.266599
2021-09-16 06:10:10.767594 : Epoch  3, Batch   1374, Loss  0.868689, Average Loss  0.870578, Time  0.239770
2021-09-16 06:10:13.354513 : Epoch  3, Batch   1375, Loss  0.873668, Average Loss  0.870773, Time  0.240800
2021-09-16 06:10:15.951792 : Epoch  3, Batch   1376, Loss  0.871323, Average Loss  0.870757, Time  0.240538
2021-09-16 06:10:18.545509 : Epoch  3, Batch   1377, Loss  0.846187, Average Loss  0.870558, Time  0.240798
2021-09-16 06:10:21.146198 : Epoch  3, Batch   1378, Loss  0.869273, Average Loss  0.870590, Time  0.240172
2021-09-16 06:10:23.735930 : Epoch  3, Batch   1379, Loss  0.863876, Average Loss  0.870606, Time  0.240086
2021-09-16 06:10:26.339145 : Epoch  3, Batch   1380, Loss  0.873401, Average Loss  0.870584, Time  0.239910
2021-09-16 06:10:28.934142 : Epoch  3, Batch   1381, Loss  0.867992, Average Loss  0.870493, Time  0.239841
2021-09-16 06:10:31.537147 : Epoch  3, Batch   1382, Loss  0.853289, Average Loss  0.870380, Time  0.242191
2021-09-16 06:10:34.134859 : Epoch  3, Batch   1383, Loss  0.868290, Average Loss  0.870418, Time  0.240479
2021-09-16 06:10:36.737459 : Epoch  3, Batch   1384, Loss  0.873361, Average Loss  0.870362, Time  0.240230
2021-09-16 06:10:39.330514 : Epoch  3, Batch   1385, Loss  0.860090, Average Loss  0.870421, Time  0.240114
2021-09-16 06:10:41.919968 : Epoch  3, Batch   1386, Loss  0.884925, Average Loss  0.870576, Time  0.240120
2021-09-16 06:10:44.536391 : Epoch  3, Batch   1387, Loss  0.889776, Average Loss  0.870712, Time  0.240092
2021-09-16 06:10:47.129984 : Epoch  3, Batch   1388, Loss  0.875235, Average Loss  0.870715, Time  0.241172
2021-09-16 06:14:49.991792 : CheckPoint: Validation Loss  0.00029498, Best Loss  0.00029226
2021-09-16 06:14:50.236100 : CheckPoint: Validation Loss  0.00030893, Best Loss  0.00029295
2021-09-16 06:14:52.584874 : Epoch  3, Batch   1389, Loss  0.877994, Average Loss  0.870812, Time  0.241512
2021-09-16 06:14:53.244926 : Epoch  5, Batch   1777, Loss  0.884248, Average Loss  0.870281, Time  0.267067
2021-09-16 06:14:55.178456 : Epoch  3, Batch   1390, Loss  0.869188, Average Loss  0.870669, Time  0.240667
2021-09-16 06:14:56.245574 : Epoch  5, Batch   1778, Loss  0.867129, Average Loss  0.870211, Time  0.267766
2021-09-16 06:14:57.773995 : Epoch  3, Batch   1391, Loss  0.857501, Average Loss  0.870659, Time  0.239929
2021-09-16 06:14:59.243094 : Epoch  5, Batch   1779, Loss  0.883789, Average Loss  0.870270, Time  0.265578
2021-09-16 06:15:00.367953 : Epoch  3, Batch   1392, Loss  0.870668, Average Loss  0.870637, Time  0.240669
2021-09-16 06:15:02.254555 : Epoch  5, Batch   1780, Loss  0.863479, Average Loss  0.870296, Time  0.279192
2021-09-16 06:15:02.977088 : Epoch  3, Batch   1393, Loss  0.878169, Average Loss  0.870624, Time  0.240083
2021-09-16 06:15:05.248167 : Epoch  5, Batch   1781, Loss  0.860250, Average Loss  0.870239, Time  0.265939
2021-09-16 06:15:05.582062 : Epoch  3, Batch   1394, Loss  0.869516, Average Loss  0.870555, Time  0.240940
2021-09-16 06:15:08.166541 : Epoch  3, Batch   1395, Loss  0.878790, Average Loss  0.870553, Time  0.239788
2021-09-16 06:15:08.245147 : Epoch  5, Batch   1782, Loss  0.877666, Average Loss  0.870238, Time  0.266218
2021-09-16 06:15:10.770989 : Epoch  3, Batch   1396, Loss  0.897106, Average Loss  0.870699, Time  0.241264
2021-09-16 06:15:11.257958 : Epoch  5, Batch   1783, Loss  0.853219, Average Loss  0.870331, Time  0.267323
2021-09-16 06:15:13.366994 : Epoch  3, Batch   1397, Loss  0.881158, Average Loss  0.870802, Time  0.239997
2021-09-16 06:15:14.248291 : Epoch  5, Batch   1784, Loss  0.878757, Average Loss  0.870417, Time  0.265603
2021-09-16 06:15:15.969851 : Epoch  3, Batch   1398, Loss  0.845444, Average Loss  0.870724, Time  0.241092
2021-09-16 06:15:17.268925 : Epoch  5, Batch   1785, Loss  0.861134, Average Loss  0.870315, Time  0.266642
2021-09-16 06:15:18.573339 : Epoch  3, Batch   1399, Loss  0.875846, Average Loss  0.870732, Time  0.240043
2021-09-16 06:15:20.259749 : Epoch  5, Batch   1786, Loss  0.874202, Average Loss  0.870413, Time  0.266541
2021-09-16 06:15:21.158935 : Epoch  3, Batch   1400, Loss  0.875956, Average Loss  0.870870, Time  0.239968
2021-09-16 06:15:23.278998 : Epoch  5, Batch   1787, Loss  0.853118, Average Loss  0.870286, Time  0.267375
2021-09-16 06:15:23.757835 : Epoch  3, Batch   1401, Loss  0.853851, Average Loss  0.870836, Time  0.240072
2021-09-16 06:15:26.292030 : Epoch  5, Batch   1788, Loss  0.853455, Average Loss  0.870222, Time  0.266109
2021-09-16 06:15:26.344427 : Epoch  3, Batch   1402, Loss  0.874674, Average Loss  0.870864, Time  0.240370
2021-09-16 06:15:28.947030 : Epoch  3, Batch   1403, Loss  0.881334, Average Loss  0.870930, Time  0.241595
2021-09-16 06:15:29.297402 : Epoch  5, Batch   1789, Loss  0.896401, Average Loss  0.870345, Time  0.265804
2021-09-16 06:15:31.549043 : Epoch  3, Batch   1404, Loss  0.862132, Average Loss  0.870912, Time  0.240855
2021-09-16 06:15:32.287456 : Epoch  5, Batch   1790, Loss  0.873488, Average Loss  0.870179, Time  0.266038
2021-09-16 06:15:34.136913 : Epoch  3, Batch   1405, Loss  0.858215, Average Loss  0.870983, Time  0.240704
2021-09-16 06:15:35.301289 : Epoch  5, Batch   1791, Loss  0.861635, Average Loss  0.870175, Time  0.265640
2021-09-16 06:15:36.720796 : Epoch  3, Batch   1406, Loss  0.869454, Average Loss  0.870955, Time  0.240576
2021-09-16 06:15:38.295521 : Epoch  5, Batch   1792, Loss  0.854114, Average Loss  0.869966, Time  0.265031
2021-09-16 06:15:39.327933 : Epoch  3, Batch   1407, Loss  0.868029, Average Loss  0.870969, Time  0.241116
2021-09-16 06:15:41.305050 : Epoch  5, Batch   1793, Loss  0.881195, Average Loss  0.870049, Time  0.265702
2021-09-16 06:15:41.926108 : Epoch  3, Batch   1408, Loss  0.853692, Average Loss  0.870879, Time  0.240367
2021-09-16 06:15:44.330012 : Epoch  5, Batch   1794, Loss  0.871854, Average Loss  0.869974, Time  0.265074
2021-09-16 06:15:44.524084 : Epoch  3, Batch   1409, Loss  0.887128, Average Loss  0.870910, Time  0.240660
2021-09-16 06:15:47.112821 : Epoch  3, Batch   1410, Loss  0.875996, Average Loss  0.870931, Time  0.243297
2021-09-16 06:15:47.332955 : Epoch  5, Batch   1795, Loss  0.855563, Average Loss  0.869899, Time  0.272913
2021-09-16 06:15:49.702384 : Epoch  3, Batch   1411, Loss  0.878332, Average Loss  0.870954, Time  0.241416
2021-09-16 06:15:50.322692 : Epoch  5, Batch   1796, Loss  0.867251, Average Loss  0.869899, Time  0.265951
2021-09-16 06:15:52.298960 : Epoch  3, Batch   1412, Loss  0.864196, Average Loss  0.870942, Time  0.240212
2021-09-16 06:15:53.322577 : Epoch  5, Batch   1797, Loss  0.873962, Average Loss  0.869954, Time  0.266721
2021-09-16 06:15:54.894062 : Epoch  3, Batch   1413, Loss  0.864469, Average Loss  0.870762, Time  0.241085
2021-09-16 06:15:56.321706 : Epoch  5, Batch   1798, Loss  0.878654, Average Loss  0.869968, Time  0.266212
2021-09-16 06:15:57.490364 : Epoch  3, Batch   1414, Loss  0.876288, Average Loss  0.870775, Time  0.240579
2021-09-16 06:15:59.341991 : Epoch  5, Batch   1799, Loss  0.887848, Average Loss  0.870071, Time  0.266170
2021-09-16 06:16:00.110409 : Epoch  3, Batch   1415, Loss  0.861024, Average Loss  0.870606, Time  0.240489
2021-09-16 06:16:02.375431 : Epoch  5, Batch   1800, Loss  0.872132, Average Loss  0.870009, Time  0.264813
2021-09-16 06:16:02.708115 : Epoch  3, Batch   1416, Loss  0.884917, Average Loss  0.870621, Time  0.240963
2021-09-16 06:16:05.289963 : Epoch  3, Batch   1417, Loss  0.867474, Average Loss  0.870575, Time  0.240664
2021-09-16 06:16:05.399592 : Epoch  5, Batch   1801, Loss  0.859876, Average Loss  0.869913, Time  0.266066
2021-09-16 06:16:07.887419 : Epoch  3, Batch   1418, Loss  0.847097, Average Loss  0.870448, Time  0.240062
2021-09-16 06:16:08.411231 : Epoch  5, Batch   1802, Loss  0.859680, Average Loss  0.869794, Time  0.265046
2021-09-16 06:16:10.488409 : Epoch  3, Batch   1419, Loss  0.866634, Average Loss  0.870475, Time  0.240478
2021-09-16 06:16:11.407169 : Epoch  5, Batch   1803, Loss  0.871703, Average Loss  0.869813, Time  0.266964
2021-09-16 06:16:13.082970 : Epoch  3, Batch   1420, Loss  0.858072, Average Loss  0.870420, Time  0.240446
2021-09-16 06:16:14.424750 : Epoch  5, Batch   1804, Loss  0.859181, Average Loss  0.869764, Time  0.265086
2021-09-16 06:16:15.687829 : Epoch  3, Batch   1421, Loss  0.863950, Average Loss  0.870386, Time  0.239948
2021-09-16 06:16:17.460378 : Epoch  5, Batch   1805, Loss  0.855749, Average Loss  0.869746, Time  0.266421
2021-09-16 06:16:18.277828 : Epoch  3, Batch   1422, Loss  0.873580, Average Loss  0.870250, Time  0.240051
2021-09-16 06:16:20.479409 : Epoch  5, Batch   1806, Loss  0.861065, Average Loss  0.869823, Time  0.265877
2021-09-16 06:16:20.874128 : Epoch  3, Batch   1423, Loss  0.862958, Average Loss  0.870162, Time  0.239931
2021-09-16 06:16:23.449567 : Epoch  3, Batch   1424, Loss  0.880789, Average Loss  0.870145, Time  0.240977
2021-09-16 06:16:23.502287 : Epoch  5, Batch   1807, Loss  0.867497, Average Loss  0.869776, Time  0.267557
2021-09-16 06:16:26.050214 : Epoch  3, Batch   1425, Loss  0.882377, Average Loss  0.870321, Time  0.240121
2021-09-16 06:16:26.531288 : Epoch  5, Batch   1808, Loss  0.860406, Average Loss  0.869843, Time  0.265455
2021-09-16 06:16:28.649121 : Epoch  3, Batch   1426, Loss  0.883993, Average Loss  0.870357, Time  0.240387
2021-09-16 06:16:29.513993 : Epoch  5, Batch   1809, Loss  0.879504, Average Loss  0.869930, Time  0.265359
2021-09-16 06:16:31.240164 : Epoch  3, Batch   1427, Loss  0.878716, Average Loss  0.870440, Time  0.240254
2021-09-16 06:16:32.538739 : Epoch  5, Batch   1810, Loss  0.888433, Average Loss  0.869897, Time  0.277614
2021-09-16 06:16:33.853890 : Epoch  3, Batch   1428, Loss  0.874970, Average Loss  0.870452, Time  0.241744
2021-09-16 06:16:35.541296 : Epoch  5, Batch   1811, Loss  0.881277, Average Loss  0.869883, Time  0.266906
2021-09-16 06:16:36.451406 : Epoch  3, Batch   1429, Loss  0.857496, Average Loss  0.870386, Time  0.240206
2021-09-16 06:16:38.571147 : Epoch  5, Batch   1812, Loss  0.885559, Average Loss  0.870002, Time  0.265401
2021-09-16 06:16:39.048214 : Epoch  3, Batch   1430, Loss  0.865952, Average Loss  0.870370, Time  0.241007
2021-09-16 06:16:41.605643 : Epoch  5, Batch   1813, Loss  0.879709, Average Loss  0.870089, Time  0.266040
2021-09-16 06:16:41.630386 : Epoch  3, Batch   1431, Loss  0.886323, Average Loss  0.870393, Time  0.240663
2021-09-16 06:16:44.241167 : Epoch  3, Batch   1432, Loss  0.884389, Average Loss  0.870357, Time  0.240256
2021-09-16 06:16:44.650441 : Epoch  5, Batch   1814, Loss  0.877221, Average Loss  0.870082, Time  0.265722
2021-09-16 06:16:46.840913 : Epoch  3, Batch   1433, Loss  0.868127, Average Loss  0.870320, Time  0.240809
2021-09-16 06:16:47.670450 : Epoch  5, Batch   1815, Loss  0.859942, Average Loss  0.870191, Time  0.265595
2021-09-16 06:16:49.436424 : Epoch  3, Batch   1434, Loss  0.875778, Average Loss  0.870417, Time  0.240663
2021-09-16 06:16:50.661027 : Epoch  5, Batch   1816, Loss  0.861919, Average Loss  0.870305, Time  0.265173
2021-09-16 06:16:52.035402 : Epoch  3, Batch   1435, Loss  0.870885, Average Loss  0.870413, Time  0.239827
2021-09-16 06:16:53.658680 : Epoch  5, Batch   1817, Loss  0.844183, Average Loss  0.870113, Time  0.265164
2021-09-16 06:16:54.623137 : Epoch  3, Batch   1436, Loss  0.884095, Average Loss  0.870410, Time  0.241230
2021-09-16 06:16:56.657351 : Epoch  5, Batch   1818, Loss  0.856132, Average Loss  0.869971, Time  0.265710
2021-09-16 06:16:57.214168 : Epoch  3, Batch   1437, Loss  0.871084, Average Loss  0.870450, Time  0.239871
2021-09-16 06:16:59.679752 : Epoch  5, Batch   1819, Loss  0.877554, Average Loss  0.869972, Time  0.266432
2021-09-16 06:16:59.817014 : Epoch  3, Batch   1438, Loss  0.880340, Average Loss  0.870558, Time  0.241454
2021-09-16 06:17:02.401641 : Epoch  3, Batch   1439, Loss  0.882685, Average Loss  0.870692, Time  0.240982
2021-09-16 06:17:02.715438 : Epoch  5, Batch   1820, Loss  0.869855, Average Loss  0.869950, Time  0.265264
2021-09-16 06:17:04.994642 : Epoch  3, Batch   1440, Loss  0.880064, Average Loss  0.870749, Time  0.240055
2021-09-16 06:17:05.771361 : Epoch  5, Batch   1821, Loss  0.870232, Average Loss  0.869965, Time  0.265443
2021-09-16 06:17:07.598971 : Epoch  3, Batch   1441, Loss  0.877335, Average Loss  0.870642, Time  0.240041
2021-09-16 06:17:08.805402 : Epoch  5, Batch   1822, Loss  0.852513, Average Loss  0.869853, Time  0.265231
2021-09-16 06:17:10.194583 : Epoch  3, Batch   1442, Loss  0.862062, Average Loss  0.870539, Time  0.239855
2021-09-16 06:17:11.839933 : Epoch  5, Batch   1823, Loss  0.868625, Average Loss  0.869840, Time  0.267949
2021-09-16 06:17:12.786674 : Epoch  3, Batch   1443, Loss  0.866146, Average Loss  0.870524, Time  0.239637
2021-09-16 06:17:14.835759 : Epoch  5, Batch   1824, Loss  0.880908, Average Loss  0.869894, Time  0.265285
2021-09-16 06:17:15.378949 : Epoch  3, Batch   1444, Loss  0.885105, Average Loss  0.870578, Time  0.242834
2021-09-16 06:17:17.859777 : Epoch  5, Batch   1825, Loss  0.875573, Average Loss  0.870023, Time  0.278244
2021-09-16 06:17:17.979687 : Epoch  3, Batch   1445, Loss  0.878652, Average Loss  0.870583, Time  0.241076
2021-09-16 06:17:20.569960 : Epoch  3, Batch   1446, Loss  0.854700, Average Loss  0.870446, Time  0.240777
2021-09-16 06:17:20.901755 : Epoch  5, Batch   1826, Loss  0.838189, Average Loss  0.869861, Time  0.266864
2021-09-16 06:17:23.177537 : Epoch  3, Batch   1447, Loss  0.873996, Average Loss  0.870498, Time  0.240160
2021-09-16 06:17:23.903956 : Epoch  5, Batch   1827, Loss  0.844627, Average Loss  0.869721, Time  0.265669
2021-09-16 06:17:25.759349 : Epoch  3, Batch   1448, Loss  0.863389, Average Loss  0.870476, Time  0.241275
2021-09-16 06:17:26.893884 : Epoch  5, Batch   1828, Loss  0.870460, Average Loss  0.869699, Time  0.266022
2021-09-16 06:17:28.356992 : Epoch  3, Batch   1449, Loss  0.871314, Average Loss  0.870525, Time  0.241598
2021-09-16 06:17:29.916071 : Epoch  5, Batch   1829, Loss  0.856994, Average Loss  0.869608, Time  0.265759
2021-09-16 06:17:30.943212 : Epoch  3, Batch   1450, Loss  0.882754, Average Loss  0.870531, Time  0.240744
2021-09-16 06:17:32.944735 : Epoch  5, Batch   1830, Loss  0.889741, Average Loss  0.869692, Time  0.265890
2021-09-16 06:17:33.547489 : Epoch  3, Batch   1451, Loss  0.867134, Average Loss  0.870488, Time  0.243487
2021-09-16 06:17:35.936761 : Epoch  5, Batch   1831, Loss  0.879934, Average Loss  0.869794, Time  0.265796
2021-09-16 06:17:36.147151 : Epoch  3, Batch   1452, Loss  0.871215, Average Loss  0.870470, Time  0.241143
2021-09-16 06:17:38.736281 : Epoch  3, Batch   1453, Loss  0.863817, Average Loss  0.870531, Time  0.240963
2021-09-16 06:17:38.931815 : Epoch  5, Batch   1832, Loss  0.856360, Average Loss  0.869776, Time  0.265019
2021-09-16 06:17:41.338117 : Epoch  3, Batch   1454, Loss  0.873439, Average Loss  0.870536, Time  0.241014
2021-09-16 06:17:41.923423 : Epoch  5, Batch   1833, Loss  0.872929, Average Loss  0.869700, Time  0.265587
2021-09-16 06:17:43.928037 : Epoch  3, Batch   1455, Loss  0.878047, Average Loss  0.870540, Time  0.240556
2021-09-16 06:17:44.938001 : Epoch  5, Batch   1834, Loss  0.864681, Average Loss  0.869709, Time  0.265687
2021-09-16 06:17:46.523165 : Epoch  3, Batch   1456, Loss  0.868505, Average Loss  0.870510, Time  0.241012
2021-09-16 06:17:47.975165 : Epoch  5, Batch   1835, Loss  0.880487, Average Loss  0.869728, Time  0.265497
2021-09-16 06:17:49.116025 : Epoch  3, Batch   1457, Loss  0.860034, Average Loss  0.870458, Time  0.241386
2021-09-16 06:17:50.999856 : Epoch  5, Batch   1836, Loss  0.865103, Average Loss  0.869586, Time  0.266782
2021-09-16 06:17:51.716091 : Epoch  3, Batch   1458, Loss  0.854774, Average Loss  0.870510, Time  0.240385
2021-09-16 06:17:54.026574 : Epoch  5, Batch   1837, Loss  0.885441, Average Loss  0.869659, Time  0.265707
2021-09-16 06:17:54.306510 : Epoch  3, Batch   1459, Loss  0.853540, Average Loss  0.870479, Time  0.239948
2021-09-16 06:17:56.891723 : Epoch  3, Batch   1460, Loss  0.871713, Average Loss  0.870441, Time  0.239955
2021-09-16 06:17:57.047702 : Epoch  5, Batch   1838, Loss  0.873296, Average Loss  0.869724, Time  0.265964
2021-09-16 06:17:59.480029 : Epoch  3, Batch   1461, Loss  0.880645, Average Loss  0.870462, Time  0.240659
2021-09-16 06:18:00.085754 : Epoch  5, Batch   1839, Loss  0.878899, Average Loss  0.869819, Time  0.266294
2021-09-16 06:18:02.072581 : Epoch  3, Batch   1462, Loss  0.887100, Average Loss  0.870489, Time  0.240483
2021-09-16 06:18:03.112811 : Epoch  5, Batch   1840, Loss  0.878534, Average Loss  0.869844, Time  0.278078
2021-09-16 06:18:04.662993 : Epoch  3, Batch   1463, Loss  0.879788, Average Loss  0.870463, Time  0.239851
2021-09-16 06:18:06.148617 : Epoch  5, Batch   1841, Loss  0.869298, Average Loss  0.869800, Time  0.266918
2021-09-16 06:18:07.265591 : Epoch  3, Batch   1464, Loss  0.874434, Average Loss  0.870578, Time  0.240388
2021-09-16 06:18:09.199632 : Epoch  5, Batch   1842, Loss  0.877910, Average Loss  0.869825, Time  0.266136
2021-09-16 06:18:09.867574 : Epoch  3, Batch   1465, Loss  0.869990, Average Loss  0.870533, Time  0.240931
2021-09-16 06:18:12.215888 : Epoch  5, Batch   1843, Loss  0.866950, Average Loss  0.869778, Time  0.267939
2021-09-16 06:18:12.469469 : Epoch  3, Batch   1466, Loss  0.869253, Average Loss  0.870626, Time  0.239992
2021-09-16 06:18:15.057125 : Epoch  3, Batch   1467, Loss  0.865826, Average Loss  0.870590, Time  0.241139
2021-09-16 06:18:15.233533 : Epoch  5, Batch   1844, Loss  0.871248, Average Loss  0.869689, Time  0.266193
2021-09-16 06:18:17.641605 : Epoch  3, Batch   1468, Loss  0.869428, Average Loss  0.870491, Time  0.240071
2021-09-16 06:18:18.276397 : Epoch  5, Batch   1845, Loss  0.878568, Average Loss  0.869648, Time  0.267282
2021-09-16 06:18:20.232606 : Epoch  3, Batch   1469, Loss  0.874638, Average Loss  0.870586, Time  0.242582
2021-09-16 06:18:21.330552 : Epoch  5, Batch   1846, Loss  0.882159, Average Loss  0.869661, Time  0.266999
2021-09-16 06:18:22.839156 : Epoch  3, Batch   1470, Loss  0.851577, Average Loss  0.870505, Time  0.240118
2021-09-16 06:18:24.351297 : Epoch  5, Batch   1847, Loss  0.865627, Average Loss  0.869650, Time  0.266159
2021-09-16 06:18:25.431156 : Epoch  3, Batch   1471, Loss  0.862221, Average Loss  0.870450, Time  0.240087
2021-09-16 06:18:27.428780 : Epoch  5, Batch   1848, Loss  0.868303, Average Loss  0.869569, Time  0.268801
2021-09-16 06:18:28.026188 : Epoch  3, Batch   1472, Loss  0.877043, Average Loss  0.870562, Time  0.240911
2021-09-16 06:18:30.474539 : Epoch  5, Batch   1849, Loss  0.852065, Average Loss  0.869462, Time  0.266430
2021-09-16 06:18:30.645988 : Epoch  3, Batch   1473, Loss  0.856821, Average Loss  0.870486, Time  0.240013
2021-09-16 06:18:33.221084 : Epoch  3, Batch   1474, Loss  0.889002, Average Loss  0.870558, Time  0.241092
2021-09-16 06:18:33.493573 : Epoch  5, Batch   1850, Loss  0.871948, Average Loss  0.869479, Time  0.265693
2021-09-16 06:18:35.820855 : Epoch  3, Batch   1475, Loss  0.897113, Average Loss  0.870683, Time  0.240048
2021-09-16 06:18:36.545655 : Epoch  5, Batch   1851, Loss  0.870019, Average Loss  0.869479, Time  0.268099
2021-09-16 06:18:38.424434 : Epoch  3, Batch   1476, Loss  0.881027, Average Loss  0.870798, Time  0.239879
2021-09-16 06:18:39.574624 : Epoch  5, Batch   1852, Loss  0.834840, Average Loss  0.869288, Time  0.267128
2021-09-16 06:18:41.015202 : Epoch  3, Batch   1477, Loss  0.868518, Average Loss  0.870894, Time  0.241070
2021-09-16 06:18:42.629237 : Epoch  5, Batch   1853, Loss  0.861724, Average Loss  0.869204, Time  0.266007
2021-09-16 06:18:43.609983 : Epoch  3, Batch   1478, Loss  0.869685, Average Loss  0.870870, Time  0.240185
2021-09-16 06:18:45.637198 : Epoch  5, Batch   1854, Loss  0.884293, Average Loss  0.869171, Time  0.265797
2021-09-16 06:18:46.199902 : Epoch  3, Batch   1479, Loss  0.875386, Average Loss  0.870918, Time  0.240067
2021-09-16 06:18:48.657555 : Epoch  5, Batch   1855, Loss  0.856621, Average Loss  0.869071, Time  0.274357
2021-09-16 06:18:48.794822 : Epoch  3, Batch   1480, Loss  0.884385, Average Loss  0.871012, Time  0.240729
2021-09-16 06:18:51.385033 : Epoch  3, Batch   1481, Loss  0.900658, Average Loss  0.871197, Time  0.240210
2021-09-16 06:18:51.666216 : Epoch  5, Batch   1856, Loss  0.879360, Average Loss  0.869130, Time  0.265184
2021-09-16 06:18:51.688460 : Saving Model after 5-th Epoch.
2021-09-16 06:18:52.672899 : Epoch Finished.
2021-09-16 06:18:53.987336 : Epoch  3, Batch   1482, Loss  0.847775, Average Loss  0.871131, Time  0.240554
2021-09-16 06:18:56.590874 : Epoch  3, Batch   1483, Loss  0.856242, Average Loss  0.871177, Time  0.240541
2021-09-16 06:18:59.182847 : Epoch  3, Batch   1484, Loss  0.878150, Average Loss  0.871174, Time  0.241586
2021-09-16 06:19:00.971194 : Batch Shuffled
2021-09-16 06:19:01.783073 : Epoch  3, Batch   1485, Loss  0.868319, Average Loss  0.871205, Time  0.241010
2021-09-16 06:19:03.973937 : Epoch  6, Batch      1, Loss  0.866612, Average Loss  0.869163, Time  0.267011
2021-09-16 06:19:04.371946 : Epoch  3, Batch   1486, Loss  0.871479, Average Loss  0.871106, Time  0.239716
2021-09-16 06:19:06.951329 : Epoch  3, Batch   1487, Loss  0.850473, Average Loss  0.870975, Time  0.240103
2021-09-16 06:19:06.970932 : Epoch  6, Batch      2, Loss  0.872044, Average Loss  0.869236, Time  0.265767
2021-09-16 06:19:09.543020 : Epoch  3, Batch   1488, Loss  0.858493, Average Loss  0.870966, Time  0.239936
2021-09-16 06:19:10.004830 : Epoch  6, Batch      3, Loss  0.868265, Average Loss  0.869211, Time  0.265558
2021-09-16 06:19:13.005917 : Epoch  6, Batch      4, Loss  0.870140, Average Loss  0.869202, Time  0.265837
2021-09-16 06:19:16.031995 : Epoch  6, Batch      5, Loss  0.883941, Average Loss  0.869269, Time  0.266273
2021-09-16 06:19:19.058322 : Epoch  6, Batch      6, Loss  0.854085, Average Loss  0.869169, Time  0.264982
2021-09-16 06:19:22.085058 : Epoch  6, Batch      7, Loss  0.874119, Average Loss  0.869101, Time  0.265666
2021-09-16 06:19:25.084054 : Epoch  6, Batch      8, Loss  0.873708, Average Loss  0.869183, Time  0.265023
2021-09-16 06:19:28.124144 : Epoch  6, Batch      9, Loss  0.852373, Average Loss  0.869074, Time  0.265902
2021-09-16 06:19:31.160051 : Epoch  6, Batch     10, Loss  0.890196, Average Loss  0.869299, Time  0.265461
2021-09-16 06:19:34.174581 : Epoch  6, Batch     11, Loss  0.855051, Average Loss  0.869261, Time  0.281651
2021-09-16 06:19:37.176223 : Epoch  6, Batch     12, Loss  0.878770, Average Loss  0.869345, Time  0.267325
2021-09-16 06:19:40.178967 : Epoch  6, Batch     13, Loss  0.879927, Average Loss  0.869365, Time  0.266789
2021-09-16 06:19:43.201008 : Epoch  6, Batch     14, Loss  0.877344, Average Loss  0.869469, Time  0.266486
2021-09-16 06:19:46.228920 : Epoch  6, Batch     15, Loss  0.871607, Average Loss  0.869493, Time  0.266080
2021-09-16 06:19:49.231914 : Epoch  6, Batch     16, Loss  0.850374, Average Loss  0.869384, Time  0.265949
2021-09-16 06:19:52.292394 : Epoch  6, Batch     17, Loss  0.865965, Average Loss  0.869374, Time  0.267508
2021-09-16 06:19:55.318170 : Epoch  6, Batch     18, Loss  0.851074, Average Loss  0.869299, Time  0.265799
2021-09-16 06:19:58.320271 : Epoch  6, Batch     19, Loss  0.864723, Average Loss  0.869326, Time  0.265083
2021-09-16 06:20:01.311166 : Epoch  6, Batch     20, Loss  0.883651, Average Loss  0.869542, Time  0.265700
2021-09-16 06:23:11.920894 : CheckPoint: Validation Loss  0.00030209, Best Loss  0.00029226
2021-09-16 06:23:14.549169 : Epoch  3, Batch   1489, Loss  0.895362, Average Loss  0.871180, Time  0.278185
2021-09-16 06:23:17.172626 : Epoch  3, Batch   1490, Loss  0.868337, Average Loss  0.871047, Time  0.261960
2021-09-16 06:23:19.798147 : Epoch  3, Batch   1491, Loss  0.866140, Average Loss  0.871031, Time  0.243496
2021-09-16 06:23:22.384607 : Epoch  3, Batch   1492, Loss  0.858695, Average Loss  0.870858, Time  0.240519
2021-09-16 06:23:24.969439 : Epoch  3, Batch   1493, Loss  0.848438, Average Loss  0.870703, Time  0.239865
2021-09-16 06:23:27.559922 : Epoch  3, Batch   1494, Loss  0.848674, Average Loss  0.870611, Time  0.241033
2021-09-16 06:23:30.142398 : Epoch  3, Batch   1495, Loss  0.860624, Average Loss  0.870642, Time  0.239561
2021-09-16 06:23:32.732044 : Epoch  3, Batch   1496, Loss  0.886981, Average Loss  0.870800, Time  0.240105
2021-09-16 06:23:35.322395 : Epoch  3, Batch   1497, Loss  0.870466, Average Loss  0.870856, Time  0.239903
2021-09-16 06:23:37.913432 : Epoch  3, Batch   1498, Loss  0.862243, Average Loss  0.870822, Time  0.240238
2021-09-16 06:23:40.497996 : Epoch  3, Batch   1499, Loss  0.866662, Average Loss  0.870802, Time  0.240049
2021-09-16 06:23:43.079988 : Epoch  3, Batch   1500, Loss  0.881030, Average Loss  0.870862, Time  0.240021
2021-09-16 06:23:45.666059 : Epoch  3, Batch   1501, Loss  0.872251, Average Loss  0.870857, Time  0.242510
2021-09-16 06:23:48.249991 : Epoch  3, Batch   1502, Loss  0.877502, Average Loss  0.870936, Time  0.239938
2021-09-16 06:23:50.844832 : Epoch  3, Batch   1503, Loss  0.868513, Average Loss  0.870810, Time  0.240448
2021-09-16 06:23:53.430390 : Epoch  3, Batch   1504, Loss  0.884419, Average Loss  0.870763, Time  0.240771
2021-09-16 06:23:56.009603 : Epoch  3, Batch   1505, Loss  0.861668, Average Loss  0.870759, Time  0.239725
2021-09-16 06:23:58.585662 : Epoch  3, Batch   1506, Loss  0.894856, Average Loss  0.870833, Time  0.240462
2021-09-16 06:24:01.176041 : Epoch  3, Batch   1507, Loss  0.871476, Average Loss  0.870892, Time  0.240117
2021-09-16 06:24:03.763393 : Epoch  3, Batch   1508, Loss  0.889220, Average Loss  0.870945, Time  0.239974
2021-09-16 06:24:06.363824 : Epoch  3, Batch   1509, Loss  0.873701, Average Loss  0.870958, Time  0.240917
2021-09-16 06:24:08.969413 : Epoch  3, Batch   1510, Loss  0.857111, Average Loss  0.870868, Time  0.240925
2021-09-16 06:24:11.560659 : Epoch  3, Batch   1511, Loss  0.884150, Average Loss  0.870921, Time  0.240100
2021-09-16 06:24:14.147560 : Epoch  3, Batch   1512, Loss  0.868327, Average Loss  0.870911, Time  0.241090
2021-09-16 06:24:16.736891 : Epoch  3, Batch   1513, Loss  0.855180, Average Loss  0.870896, Time  0.241586
2021-09-16 06:24:19.316468 : Epoch  3, Batch   1514, Loss  0.872954, Average Loss  0.870868, Time  0.241134
2021-09-16 06:24:21.899389 : Epoch  3, Batch   1515, Loss  0.871244, Average Loss  0.870746, Time  0.240422
2021-09-16 06:24:24.485657 : Epoch  3, Batch   1516, Loss  0.869107, Average Loss  0.870758, Time  0.241150
2021-09-16 06:24:27.065989 : Epoch  3, Batch   1517, Loss  0.870354, Average Loss  0.870762, Time  0.240122
2021-09-16 06:24:29.648057 : Epoch  3, Batch   1518, Loss  0.874196, Average Loss  0.870860, Time  0.240209
2021-09-16 06:24:32.244398 : Epoch  3, Batch   1519, Loss  0.863713, Average Loss  0.870891, Time  0.239864
2021-09-16 06:24:34.830612 : Epoch  3, Batch   1520, Loss  0.857896, Average Loss  0.870844, Time  0.239819
2021-09-16 06:24:37.425405 : Epoch  3, Batch   1521, Loss  0.873423, Average Loss  0.870827, Time  0.241701
2021-09-16 06:24:40.005876 : Epoch  3, Batch   1522, Loss  0.880286, Average Loss  0.870929, Time  0.240069
2021-09-16 06:24:40.948775 : CheckPoint: Validation Loss  0.00030156, Best Loss  0.00029295
2021-09-16 06:24:42.602923 : Epoch  3, Batch   1523, Loss  0.871868, Average Loss  0.870934, Time  0.241941
2021-09-16 06:24:43.948039 : Epoch  6, Batch     21, Loss  0.864862, Average Loss  0.869536, Time  0.267333
2021-09-16 06:24:45.191837 : Epoch  3, Batch   1524, Loss  0.865771, Average Loss  0.870859, Time  0.240231
2021-09-16 06:24:46.947047 : Epoch  6, Batch     22, Loss  0.886955, Average Loss  0.869645, Time  0.265724
2021-09-16 06:24:47.781376 : Epoch  3, Batch   1525, Loss  0.854632, Average Loss  0.870685, Time  0.240149
2021-09-16 06:24:49.952134 : Epoch  6, Batch     23, Loss  0.874036, Average Loss  0.869731, Time  0.265147
2021-09-16 06:24:50.361642 : Epoch  3, Batch   1526, Loss  0.856349, Average Loss  0.870538, Time  0.243981
2021-09-16 06:24:52.934420 : Epoch  3, Batch   1527, Loss  0.873308, Average Loss  0.870645, Time  0.240432
2021-09-16 06:24:52.947751 : Epoch  6, Batch     24, Loss  0.870298, Average Loss  0.869717, Time  0.265525
2021-09-16 06:24:55.518068 : Epoch  3, Batch   1528, Loss  0.860149, Average Loss  0.870560, Time  0.239809
2021-09-16 06:24:55.979163 : Epoch  6, Batch     25, Loss  0.871450, Average Loss  0.869739, Time  0.274915
2021-09-16 06:24:58.103411 : Epoch  3, Batch   1529, Loss  0.864812, Average Loss  0.870586, Time  0.240308
2021-09-16 06:24:58.959651 : Epoch  6, Batch     26, Loss  0.888900, Average Loss  0.869848, Time  0.265033
2021-09-16 06:25:00.690177 : Epoch  3, Batch   1530, Loss  0.889788, Average Loss  0.870595, Time  0.240274
2021-09-16 06:25:01.958336 : Epoch  6, Batch     27, Loss  0.884821, Average Loss  0.869902, Time  0.265829
2021-09-16 06:25:03.273318 : Epoch  3, Batch   1531, Loss  0.857798, Average Loss  0.870490, Time  0.240015
2021-09-16 06:25:04.956049 : Epoch  6, Batch     28, Loss  0.869468, Average Loss  0.869837, Time  0.265500
2021-09-16 06:25:05.855264 : Epoch  3, Batch   1532, Loss  0.857496, Average Loss  0.870372, Time  0.240005
2021-09-16 06:25:07.951717 : Epoch  6, Batch     29, Loss  0.843750, Average Loss  0.869644, Time  0.265225
2021-09-16 06:25:08.452406 : Epoch  3, Batch   1533, Loss  0.892671, Average Loss  0.870573, Time  0.242699
2021-09-16 06:25:10.948034 : Epoch  6, Batch     30, Loss  0.884112, Average Loss  0.869704, Time  0.266740
2021-09-16 06:25:11.028481 : Epoch  3, Batch   1534, Loss  0.883216, Average Loss  0.870649, Time  0.241091
2021-09-16 06:25:13.619977 : Epoch  3, Batch   1535, Loss  0.887768, Average Loss  0.870832, Time  0.240539
2021-09-16 06:25:13.948783 : Epoch  6, Batch     31, Loss  0.858914, Average Loss  0.869577, Time  0.265852
2021-09-16 06:25:16.209402 : Epoch  3, Batch   1536, Loss  0.854430, Average Loss  0.870727, Time  0.241810
2021-09-16 06:25:16.942524 : Epoch  6, Batch     32, Loss  0.882335, Average Loss  0.869671, Time  0.266668
2021-09-16 06:25:18.811329 : Epoch  3, Batch   1537, Loss  0.881879, Average Loss  0.870752, Time  0.240933
2021-09-16 06:25:19.944443 : Epoch  6, Batch     33, Loss  0.881922, Average Loss  0.869610, Time  0.266026
2021-09-16 06:25:21.410837 : Epoch  3, Batch   1538, Loss  0.868647, Average Loss  0.870608, Time  0.241380
2021-09-16 06:25:22.939425 : Epoch  6, Batch     34, Loss  0.860925, Average Loss  0.869599, Time  0.265154
2021-09-16 06:25:24.009747 : Epoch  3, Batch   1539, Loss  0.894702, Average Loss  0.870704, Time  0.241693
2021-09-16 06:25:25.945208 : Epoch  6, Batch     35, Loss  0.861630, Average Loss  0.869473, Time  0.266814
2021-09-16 06:25:26.605816 : Epoch  3, Batch   1540, Loss  0.883634, Average Loss  0.870748, Time  0.244050
2021-09-16 06:25:28.947577 : Epoch  6, Batch     36, Loss  0.873885, Average Loss  0.869551, Time  0.266080
2021-09-16 06:25:29.217101 : Epoch  3, Batch   1541, Loss  0.858233, Average Loss  0.870761, Time  0.242920
2021-09-16 06:25:31.797023 : Epoch  3, Batch   1542, Loss  0.866635, Average Loss  0.870768, Time  0.240595
2021-09-16 06:25:31.976853 : Epoch  6, Batch     37, Loss  0.869438, Average Loss  0.869606, Time  0.265619
2021-09-16 06:25:34.386769 : Epoch  3, Batch   1543, Loss  0.866188, Average Loss  0.870754, Time  0.242613
2021-09-16 06:25:34.964044 : Epoch  6, Batch     38, Loss  0.876227, Average Loss  0.869723, Time  0.265979
2021-09-16 06:25:36.988546 : Epoch  3, Batch   1544, Loss  0.877529, Average Loss  0.870738, Time  0.244660
2021-09-16 06:25:37.992297 : Epoch  6, Batch     39, Loss  0.877398, Average Loss  0.869702, Time  0.265118
2021-09-16 06:25:39.588017 : Epoch  3, Batch   1545, Loss  0.863111, Average Loss  0.870669, Time  0.240463
2021-09-16 06:25:40.993191 : Epoch  6, Batch     40, Loss  0.878068, Average Loss  0.869683, Time  0.265811
2021-09-16 06:25:42.184038 : Epoch  3, Batch   1546, Loss  0.876127, Average Loss  0.870739, Time  0.241390
2021-09-16 06:25:43.990076 : Epoch  6, Batch     41, Loss  0.856234, Average Loss  0.869681, Time  0.271609
2021-09-16 06:25:44.779323 : Epoch  3, Batch   1547, Loss  0.887132, Average Loss  0.870860, Time  0.242713
2021-09-16 06:25:46.980729 : Epoch  6, Batch     42, Loss  0.871519, Average Loss  0.869619, Time  0.265277
2021-09-16 06:25:47.375997 : Epoch  3, Batch   1548, Loss  0.870285, Average Loss  0.870898, Time  0.239974
2021-09-16 06:25:49.980103 : Epoch  3, Batch   1549, Loss  0.864417, Average Loss  0.870828, Time  0.240182
2021-09-16 06:25:50.010137 : Epoch  6, Batch     43, Loss  0.875364, Average Loss  0.869617, Time  0.267267
2021-09-16 06:25:52.573642 : Epoch  3, Batch   1550, Loss  0.859175, Average Loss  0.870686, Time  0.240749
2021-09-16 06:25:53.042062 : Epoch  6, Batch     44, Loss  0.871137, Average Loss  0.869547, Time  0.268949
2021-09-16 06:25:55.165293 : Epoch  3, Batch   1551, Loss  0.879967, Average Loss  0.870771, Time  0.241872
2021-09-16 06:25:56.028344 : Epoch  6, Batch     45, Loss  0.883818, Average Loss  0.869596, Time  0.265432
2021-09-16 06:25:57.758392 : Epoch  3, Batch   1552, Loss  0.882195, Average Loss  0.870808, Time  0.239884
2021-09-16 06:25:59.051934 : Epoch  6, Batch     46, Loss  0.860907, Average Loss  0.869520, Time  0.266190
2021-09-16 06:26:00.354051 : Epoch  3, Batch   1553, Loss  0.844641, Average Loss  0.870621, Time  0.241317
2021-09-16 06:26:02.072034 : Epoch  6, Batch     47, Loss  0.862744, Average Loss  0.869577, Time  0.267705
2021-09-16 06:26:02.949093 : Epoch  3, Batch   1554, Loss  0.879556, Average Loss  0.870745, Time  0.245092
2021-09-16 06:26:05.095672 : Epoch  6, Batch     48, Loss  0.859245, Average Loss  0.869485, Time  0.266558
2021-09-16 06:26:05.543305 : Epoch  3, Batch   1555, Loss  0.878377, Average Loss  0.870849, Time  0.241838
2021-09-16 06:26:08.122429 : Epoch  3, Batch   1556, Loss  0.864778, Average Loss  0.870837, Time  0.241267
2021-09-16 06:26:08.135139 : Epoch  6, Batch     49, Loss  0.861766, Average Loss  0.869411, Time  0.265825
2021-09-16 06:26:10.716071 : Epoch  3, Batch   1557, Loss  0.861372, Average Loss  0.870821, Time  0.240583
2021-09-16 06:26:11.139877 : Epoch  6, Batch     50, Loss  0.866044, Average Loss  0.869366, Time  0.265735
2021-09-16 06:26:13.329897 : Epoch  3, Batch   1558, Loss  0.868216, Average Loss  0.870837, Time  0.240304
2021-09-16 06:26:14.124085 : Epoch  6, Batch     51, Loss  0.854090, Average Loss  0.869303, Time  0.266078
2021-09-16 06:26:15.917125 : Epoch  3, Batch   1559, Loss  0.872971, Average Loss  0.870917, Time  0.240094
2021-09-16 06:26:17.157710 : Epoch  6, Batch     52, Loss  0.848502, Average Loss  0.869196, Time  0.265720
2021-09-16 06:26:18.498875 : Epoch  3, Batch   1560, Loss  0.862641, Average Loss  0.870857, Time  0.240177
2021-09-16 06:26:20.196418 : Epoch  6, Batch     53, Loss  0.867679, Average Loss  0.869167, Time  0.268167
2021-09-16 06:26:21.112224 : Epoch  3, Batch   1561, Loss  0.854465, Average Loss  0.870765, Time  0.242581
2021-09-16 06:26:23.209797 : Epoch  6, Batch     54, Loss  0.897025, Average Loss  0.869310, Time  0.266273
2021-09-16 06:26:23.697123 : Epoch  3, Batch   1562, Loss  0.892562, Average Loss  0.870844, Time  0.241220
2021-09-16 06:26:26.197251 : Epoch  6, Batch     55, Loss  0.869206, Average Loss  0.869314, Time  0.265663
2021-09-16 06:26:26.269953 : Epoch  3, Batch   1563, Loss  0.881254, Average Loss  0.870915, Time  0.240244
2021-09-16 06:26:28.845742 : Epoch  3, Batch   1564, Loss  0.879817, Average Loss  0.870961, Time  0.240321
2021-09-16 06:26:29.209821 : Epoch  6, Batch     56, Loss  0.880808, Average Loss  0.869261, Time  0.276807
2021-09-16 06:26:31.437857 : Epoch  3, Batch   1565, Loss  0.870672, Average Loss  0.870983, Time  0.240170
2021-09-16 06:26:32.180917 : Epoch  6, Batch     57, Loss  0.863357, Average Loss  0.869263, Time  0.265687
2021-09-16 06:26:34.020414 : Epoch  3, Batch   1566, Loss  0.865549, Average Loss  0.870991, Time  0.240195
2021-09-16 06:26:35.198556 : Epoch  6, Batch     58, Loss  0.877183, Average Loss  0.869275, Time  0.265367
2021-09-16 06:26:36.608884 : Epoch  3, Batch   1567, Loss  0.877421, Average Loss  0.871045, Time  0.241070
2021-09-16 06:26:38.225460 : Epoch  6, Batch     59, Loss  0.871959, Average Loss  0.869233, Time  0.266481
2021-09-16 06:26:39.196049 : Epoch  3, Batch   1568, Loss  0.887009, Average Loss  0.871031, Time  0.241561
2021-09-16 06:26:41.239316 : Epoch  6, Batch     60, Loss  0.878975, Average Loss  0.869266, Time  0.266098
2021-09-16 06:26:41.782357 : Epoch  3, Batch   1569, Loss  0.896506, Average Loss  0.871104, Time  0.242226
2021-09-16 06:26:44.259204 : Epoch  6, Batch     61, Loss  0.860507, Average Loss  0.869300, Time  0.265502
2021-09-16 06:26:44.367961 : Epoch  3, Batch   1570, Loss  0.874766, Average Loss  0.871252, Time  0.240731
2021-09-16 06:26:46.937007 : Epoch  3, Batch   1571, Loss  0.894264, Average Loss  0.871411, Time  0.241856
2021-09-16 06:26:47.250883 : Epoch  6, Batch     62, Loss  0.872442, Average Loss  0.869336, Time  0.265397
2021-09-16 06:26:49.516402 : Epoch  3, Batch   1572, Loss  0.872886, Average Loss  0.871400, Time  0.239726
2021-09-16 06:26:50.228894 : Epoch  6, Batch     63, Loss  0.872029, Average Loss  0.869370, Time  0.265150
2021-09-16 06:26:52.102721 : Epoch  3, Batch   1573, Loss  0.868004, Average Loss  0.871371, Time  0.240796
2021-09-16 06:26:53.268843 : Epoch  6, Batch     64, Loss  0.860010, Average Loss  0.869284, Time  0.266005
2021-09-16 06:26:54.681657 : Epoch  3, Batch   1574, Loss  0.859935, Average Loss  0.871327, Time  0.240300
2021-09-16 06:26:56.274962 : Epoch  6, Batch     65, Loss  0.834331, Average Loss  0.869080, Time  0.268011
2021-09-16 06:26:57.270471 : Epoch  3, Batch   1575, Loss  0.865675, Average Loss  0.871288, Time  0.239925
2021-09-16 06:26:59.276928 : Epoch  6, Batch     66, Loss  0.855121, Average Loss  0.869026, Time  0.267426
2021-09-16 06:26:59.861493 : Epoch  3, Batch   1576, Loss  0.871927, Average Loss  0.871291, Time  0.242208
2021-09-16 06:27:02.291229 : Epoch  6, Batch     67, Loss  0.856547, Average Loss  0.868926, Time  0.266286
2021-09-16 06:27:02.448099 : Epoch  3, Batch   1577, Loss  0.867425, Average Loss  0.871397, Time  0.240168
2021-09-16 06:27:05.023646 : Epoch  3, Batch   1578, Loss  0.853600, Average Loss  0.871318, Time  0.242071
2021-09-16 06:27:05.291471 : Epoch  6, Batch     68, Loss  0.874876, Average Loss  0.868997, Time  0.265825
2021-09-16 06:27:07.607427 : Epoch  3, Batch   1579, Loss  0.883264, Average Loss  0.871415, Time  0.240836
2021-09-16 06:27:08.303527 : Epoch  6, Batch     69, Loss  0.864322, Average Loss  0.869000, Time  0.266258
2021-09-16 06:27:10.190033 : Epoch  3, Batch   1580, Loss  0.864621, Average Loss  0.871371, Time  0.241368
2021-09-16 06:27:11.350075 : Epoch  6, Batch     70, Loss  0.875263, Average Loss  0.868936, Time  0.266593
2021-09-16 06:27:12.776404 : Epoch  3, Batch   1581, Loss  0.886056, Average Loss  0.871462, Time  0.239835
2021-09-16 06:27:14.375034 : Epoch  6, Batch     71, Loss  0.863918, Average Loss  0.868819, Time  0.273604
2021-09-16 06:27:15.359833 : Epoch  3, Batch   1582, Loss  0.862395, Average Loss  0.871507, Time  0.240350
2021-09-16 06:27:17.383816 : Epoch  6, Batch     72, Loss  0.864226, Average Loss  0.868890, Time  0.266992
2021-09-16 06:27:17.934395 : Epoch  3, Batch   1583, Loss  0.886929, Average Loss  0.871600, Time  0.240428
2021-09-16 06:27:20.386054 : Epoch  6, Batch     73, Loss  0.884522, Average Loss  0.868931, Time  0.266801
2021-09-16 06:27:20.512232 : Epoch  3, Batch   1584, Loss  0.886010, Average Loss  0.871664, Time  0.240561
2021-09-16 06:27:23.079857 : Epoch  3, Batch   1585, Loss  0.863918, Average Loss  0.871683, Time  0.242459
2021-09-16 06:27:23.389192 : Epoch  6, Batch     74, Loss  0.867998, Average Loss  0.868997, Time  0.265961
2021-09-16 06:27:25.679404 : Epoch  3, Batch   1586, Loss  0.877618, Average Loss  0.871646, Time  0.241438
2021-09-16 06:27:26.388690 : Epoch  6, Batch     75, Loss  0.857077, Average Loss  0.869087, Time  0.266558
2021-09-16 06:27:28.275393 : Epoch  3, Batch   1587, Loss  0.863797, Average Loss  0.871516, Time  0.240263
2021-09-16 06:27:29.382332 : Epoch  6, Batch     76, Loss  0.860132, Average Loss  0.869085, Time  0.265192
2021-09-16 06:27:30.882107 : Epoch  3, Batch   1588, Loss  0.857918, Average Loss  0.871430, Time  0.245646
2021-09-16 06:27:32.376723 : Epoch  6, Batch     77, Loss  0.860034, Average Loss  0.869058, Time  0.266035
2021-09-16 06:27:35.383550 : Epoch  6, Batch     78, Loss  0.890404, Average Loss  0.869096, Time  0.267482
2021-09-16 06:27:38.428946 : Epoch  6, Batch     79, Loss  0.859574, Average Loss  0.869001, Time  0.266262
2021-09-16 06:27:41.438812 : Epoch  6, Batch     80, Loss  0.871066, Average Loss  0.869047, Time  0.265677
2021-09-16 06:27:44.433075 : Epoch  6, Batch     81, Loss  0.865245, Average Loss  0.869093, Time  0.265833
2021-09-16 06:27:47.448339 : Epoch  6, Batch     82, Loss  0.868501, Average Loss  0.869085, Time  0.265824
2021-09-16 06:27:50.453029 : Epoch  6, Batch     83, Loss  0.864650, Average Loss  0.869116, Time  0.265608
2021-09-16 06:27:53.457453 : Epoch  6, Batch     84, Loss  0.879593, Average Loss  0.869270, Time  0.265397
2021-09-16 06:27:56.466056 : Epoch  6, Batch     85, Loss  0.875002, Average Loss  0.869290, Time  0.266582
2021-09-16 06:27:59.511274 : Epoch  6, Batch     86, Loss  0.890969, Average Loss  0.869331, Time  0.274133
2021-09-16 06:28:02.561404 : Epoch  6, Batch     87, Loss  0.865940, Average Loss  0.869298, Time  0.266091
2021-09-16 06:28:05.567803 : Epoch  6, Batch     88, Loss  0.886253, Average Loss  0.869254, Time  0.266742
2021-09-16 06:28:08.584172 : Epoch  6, Batch     89, Loss  0.885121, Average Loss  0.869257, Time  0.265760
2021-09-16 06:28:11.636447 : Epoch  6, Batch     90, Loss  0.886707, Average Loss  0.869406, Time  0.266804
2021-09-16 06:28:14.716122 : Epoch  6, Batch     91, Loss  0.863657, Average Loss  0.869343, Time  0.266077
2021-09-16 06:28:17.745538 : Epoch  6, Batch     92, Loss  0.864190, Average Loss  0.869394, Time  0.265787
2021-09-16 06:28:20.782552 : Epoch  6, Batch     93, Loss  0.878912, Average Loss  0.869274, Time  0.266478
2021-09-16 06:28:23.792353 : Epoch  6, Batch     94, Loss  0.880847, Average Loss  0.869379, Time  0.265010
2021-09-16 06:28:26.788970 : Epoch  6, Batch     95, Loss  0.877906, Average Loss  0.869500, Time  0.266449
2021-09-16 06:28:29.819607 : Epoch  6, Batch     96, Loss  0.860127, Average Loss  0.869426, Time  0.265218
2021-09-16 06:28:32.842811 : Epoch  6, Batch     97, Loss  0.870920, Average Loss  0.869565, Time  0.267012
2021-09-16 06:28:35.834497 : Epoch  6, Batch     98, Loss  0.889597, Average Loss  0.869783, Time  0.265148
2021-09-16 06:28:38.851819 : Epoch  6, Batch     99, Loss  0.874937, Average Loss  0.869844, Time  0.265677
2021-09-16 06:28:41.864215 : Epoch  6, Batch    100, Loss  0.868840, Average Loss  0.869848, Time  0.265524
2021-09-16 06:28:44.880063 : Epoch  6, Batch    101, Loss  0.862591, Average Loss  0.869842, Time  0.277591
2021-09-16 06:28:47.913031 : Epoch  6, Batch    102, Loss  0.897339, Average Loss  0.869936, Time  0.267318
2021-09-16 06:28:50.916341 : Epoch  6, Batch    103, Loss  0.889264, Average Loss  0.869975, Time  0.265895
2021-09-16 06:28:53.930485 : Epoch  6, Batch    104, Loss  0.860466, Average Loss  0.869928, Time  0.265377
2021-09-16 06:28:56.935156 : Epoch  6, Batch    105, Loss  0.877583, Average Loss  0.869947, Time  0.267363
2021-09-16 06:28:59.937641 : Epoch  6, Batch    106, Loss  0.869839, Average Loss  0.869995, Time  0.265760
2021-09-16 06:29:02.960241 : Epoch  6, Batch    107, Loss  0.850657, Average Loss  0.869945, Time  0.267248
2021-09-16 06:29:05.996780 : Epoch  6, Batch    108, Loss  0.893022, Average Loss  0.870091, Time  0.266326
2021-09-16 06:29:08.992150 : Epoch  6, Batch    109, Loss  0.863507, Average Loss  0.870066, Time  0.265454
2021-09-16 06:29:12.006862 : Epoch  6, Batch    110, Loss  0.847407, Average Loss  0.869995, Time  0.266384
2021-09-16 06:29:15.030004 : Epoch  6, Batch    111, Loss  0.866807, Average Loss  0.869942, Time  0.266519
2021-09-16 06:29:18.056468 : Epoch  6, Batch    112, Loss  0.889880, Average Loss  0.869995, Time  0.266261
2021-09-16 06:29:21.094385 : Epoch  6, Batch    113, Loss  0.863099, Average Loss  0.869970, Time  0.265546
2021-09-16 06:29:24.075923 : Epoch  6, Batch    114, Loss  0.866752, Average Loss  0.869892, Time  0.264601
2021-09-16 06:29:27.094519 : Epoch  6, Batch    115, Loss  0.870006, Average Loss  0.869849, Time  0.265613
2021-09-16 06:29:30.140529 : Epoch  6, Batch    116, Loss  0.882355, Average Loss  0.869891, Time  0.279368
2021-09-16 06:29:33.197845 : Epoch  6, Batch    117, Loss  0.857857, Average Loss  0.869723, Time  0.267432
2021-09-16 06:29:36.238813 : Epoch  6, Batch    118, Loss  0.856362, Average Loss  0.869710, Time  0.266226
2021-09-16 06:29:39.246798 : Epoch  6, Batch    119, Loss  0.867066, Average Loss  0.869662, Time  0.265138
2021-09-16 06:29:42.256712 : Epoch  6, Batch    120, Loss  0.823937, Average Loss  0.869472, Time  0.266382
2021-09-16 06:31:33.270779 : CheckPoint: Validation Loss  0.00030000, Best Loss  0.00029226
2021-09-16 06:31:35.902038 : Epoch  3, Batch   1589, Loss  0.859806, Average Loss  0.871339, Time  0.281128
2021-09-16 06:31:38.513256 : Epoch  3, Batch   1590, Loss  0.847717, Average Loss  0.871232, Time  0.254379
2021-09-16 06:31:41.111111 : Epoch  3, Batch   1591, Loss  0.880643, Average Loss  0.871347, Time  0.241234
2021-09-16 06:31:43.694634 : Epoch  3, Batch   1592, Loss  0.864525, Average Loss  0.871317, Time  0.240391
2021-09-16 06:31:46.290616 : Epoch  3, Batch   1593, Loss  0.870601, Average Loss  0.871279, Time  0.241644
2021-09-16 06:31:48.888077 : Epoch  3, Batch   1594, Loss  0.870562, Average Loss  0.871284, Time  0.240425
2021-09-16 06:31:51.480892 : Epoch  3, Batch   1595, Loss  0.894076, Average Loss  0.871360, Time  0.239970
2021-09-16 06:31:54.076542 : Epoch  3, Batch   1596, Loss  0.872611, Average Loss  0.871238, Time  0.239990
2021-09-16 06:31:56.680451 : Epoch  3, Batch   1597, Loss  0.879665, Average Loss  0.871230, Time  0.240741
2021-09-16 06:31:59.275927 : Epoch  3, Batch   1598, Loss  0.878290, Average Loss  0.871395, Time  0.242003
2021-09-16 06:32:01.881982 : Epoch  3, Batch   1599, Loss  0.865527, Average Loss  0.871343, Time  0.239997
2021-09-16 06:32:04.474902 : Epoch  3, Batch   1600, Loss  0.870653, Average Loss  0.871317, Time  0.240062
2021-09-16 06:32:07.062854 : Epoch  3, Batch   1601, Loss  0.884703, Average Loss  0.871471, Time  0.240153
2021-09-16 06:32:09.645155 : Epoch  3, Batch   1602, Loss  0.876105, Average Loss  0.871478, Time  0.240274
2021-09-16 06:32:12.238943 : Epoch  3, Batch   1603, Loss  0.880085, Average Loss  0.871472, Time  0.239971
2021-09-16 06:32:14.833835 : Epoch  3, Batch   1604, Loss  0.880200, Average Loss  0.871562, Time  0.240008
2021-09-16 06:32:17.425331 : Epoch  3, Batch   1605, Loss  0.864924, Average Loss  0.871596, Time  0.240670
2021-09-16 06:32:20.007343 : Epoch  3, Batch   1606, Loss  0.857077, Average Loss  0.871534, Time  0.240034
2021-09-16 06:32:22.610425 : Epoch  3, Batch   1607, Loss  0.859759, Average Loss  0.871492, Time  0.242804
2021-09-16 06:32:25.200131 : Epoch  3, Batch   1608, Loss  0.861471, Average Loss  0.871531, Time  0.240960
2021-09-16 06:32:27.781291 : Epoch  3, Batch   1609, Loss  0.861554, Average Loss  0.871403, Time  0.239972
2021-09-16 06:32:30.363835 : Epoch  3, Batch   1610, Loss  0.869826, Average Loss  0.871373, Time  0.240458
2021-09-16 06:32:32.960419 : Epoch  3, Batch   1611, Loss  0.887442, Average Loss  0.871418, Time  0.239873
2021-09-16 06:32:35.546996 : Epoch  3, Batch   1612, Loss  0.873786, Average Loss  0.871466, Time  0.240116
2021-09-16 06:32:38.147672 : Epoch  3, Batch   1613, Loss  0.870991, Average Loss  0.871499, Time  0.239609
2021-09-16 06:32:40.752915 : Epoch  3, Batch   1614, Loss  0.870591, Average Loss  0.871470, Time  0.241240
2021-09-16 06:32:43.341846 : Epoch  3, Batch   1615, Loss  0.862768, Average Loss  0.871479, Time  0.242011
2021-09-16 06:32:45.935135 : Epoch  3, Batch   1616, Loss  0.868049, Average Loss  0.871395, Time  0.240634
2021-09-16 06:32:48.534901 : Epoch  3, Batch   1617, Loss  0.871406, Average Loss  0.871414, Time  0.240437
2021-09-16 06:32:51.130235 : Epoch  3, Batch   1618, Loss  0.863378, Average Loss  0.871496, Time  0.240897
2021-09-16 06:32:53.722828 : Epoch  3, Batch   1619, Loss  0.877103, Average Loss  0.871548, Time  0.240452
2021-09-16 06:32:56.319756 : Epoch  3, Batch   1620, Loss  0.872760, Average Loss  0.871621, Time  0.241047
2021-09-16 06:32:58.918073 : Epoch  3, Batch   1621, Loss  0.867149, Average Loss  0.871637, Time  0.240553
2021-09-16 06:33:01.515111 : Epoch  3, Batch   1622, Loss  0.863625, Average Loss  0.871588, Time  0.241257
2021-09-16 06:33:04.118411 : Epoch  3, Batch   1623, Loss  0.889273, Average Loss  0.871719, Time  0.240006
2021-09-16 06:33:06.712824 : Epoch  3, Batch   1624, Loss  0.872507, Average Loss  0.871678, Time  0.241247
2021-09-16 06:33:09.313907 : Epoch  3, Batch   1625, Loss  0.869860, Average Loss  0.871615, Time  0.240245
2021-09-16 06:33:11.899248 : Epoch  3, Batch   1626, Loss  0.893241, Average Loss  0.871661, Time  0.240132
2021-09-16 06:33:14.493169 : Epoch  3, Batch   1627, Loss  0.863583, Average Loss  0.871586, Time  0.240032
2021-09-16 06:33:17.099884 : Epoch  3, Batch   1628, Loss  0.873767, Average Loss  0.871580, Time  0.241506
2021-09-16 06:33:19.680358 : Epoch  3, Batch   1629, Loss  0.871853, Average Loss  0.871652, Time  0.240038
2021-09-16 06:33:22.272225 : Epoch  3, Batch   1630, Loss  0.870820, Average Loss  0.871676, Time  0.241202
2021-09-16 06:33:24.866174 : Epoch  3, Batch   1631, Loss  0.864260, Average Loss  0.871566, Time  0.240364
2021-09-16 06:33:27.460862 : Epoch  3, Batch   1632, Loss  0.866286, Average Loss  0.871475, Time  0.243309
2021-09-16 06:33:30.051152 : Epoch  3, Batch   1633, Loss  0.862164, Average Loss  0.871445, Time  0.239992
2021-09-16 06:33:32.647968 : Epoch  3, Batch   1634, Loss  0.863807, Average Loss  0.871385, Time  0.240089
2021-09-16 06:33:35.240786 : Epoch  3, Batch   1635, Loss  0.884199, Average Loss  0.871452, Time  0.240096
2021-09-16 06:33:37.842181 : Epoch  3, Batch   1636, Loss  0.873933, Average Loss  0.871401, Time  0.243022
2021-09-16 06:33:40.436100 : Epoch  3, Batch   1637, Loss  0.898388, Average Loss  0.871538, Time  0.241280
2021-09-16 06:33:43.028004 : Epoch  3, Batch   1638, Loss  0.866805, Average Loss  0.871470, Time  0.241196
2021-09-16 06:33:45.621146 : Epoch  3, Batch   1639, Loss  0.878504, Average Loss  0.871449, Time  0.239974
2021-09-16 06:33:48.211231 : Epoch  3, Batch   1640, Loss  0.853584, Average Loss  0.871317, Time  0.241236
2021-09-16 06:33:50.803676 : Epoch  3, Batch   1641, Loss  0.868428, Average Loss  0.871272, Time  0.239942
2021-09-16 06:33:53.387278 : Epoch  3, Batch   1642, Loss  0.872447, Average Loss  0.871324, Time  0.240221
2021-09-16 06:33:55.991700 : Epoch  3, Batch   1643, Loss  0.848516, Average Loss  0.871236, Time  0.242295
2021-09-16 06:33:58.573978 : Epoch  3, Batch   1644, Loss  0.860344, Average Loss  0.871112, Time  0.239975
2021-09-16 06:34:01.177431 : Epoch  3, Batch   1645, Loss  0.871358, Average Loss  0.871076, Time  0.239852
2021-09-16 06:34:03.781052 : Epoch  3, Batch   1646, Loss  0.880375, Average Loss  0.871204, Time  0.239867
2021-09-16 06:34:06.378953 : Epoch  3, Batch   1647, Loss  0.851301, Average Loss  0.871091, Time  0.241654
2021-09-16 06:34:08.963865 : Epoch  3, Batch   1648, Loss  0.867993, Average Loss  0.871114, Time  0.239934
2021-09-16 06:34:11.558410 : Epoch  3, Batch   1649, Loss  0.870781, Average Loss  0.871111, Time  0.240090
2021-09-16 06:34:14.152844 : Epoch  3, Batch   1650, Loss  0.868577, Average Loss  0.871040, Time  0.241077
2021-09-16 06:34:16.753388 : Epoch  3, Batch   1651, Loss  0.849668, Average Loss  0.870953, Time  0.240260
2021-09-16 06:34:19.346677 : Epoch  3, Batch   1652, Loss  0.887066, Average Loss  0.871032, Time  0.239933
2021-09-16 06:34:21.712285 : CheckPoint: Validation Loss  0.00031177, Best Loss  0.00029295
2021-09-16 06:34:21.933857 : Epoch  3, Batch   1653, Loss  0.870343, Average Loss  0.871065, Time  0.240258
2021-09-16 06:34:24.521075 : Epoch  3, Batch   1654, Loss  0.866034, Average Loss  0.871028, Time  0.240277
2021-09-16 06:34:24.707686 : Epoch  6, Batch    121, Loss  0.866156, Average Loss  0.869382, Time  0.266771
2021-09-16 06:34:27.118783 : Epoch  3, Batch   1655, Loss  0.872317, Average Loss  0.870999, Time  0.240837
2021-09-16 06:34:27.714569 : Epoch  6, Batch    122, Loss  0.869140, Average Loss  0.869392, Time  0.265211
2021-09-16 06:34:29.714375 : Epoch  3, Batch   1656, Loss  0.891445, Average Loss  0.871114, Time  0.240759
2021-09-16 06:34:30.728634 : Epoch  6, Batch    123, Loss  0.866501, Average Loss  0.869306, Time  0.266340
2021-09-16 06:34:32.309415 : Epoch  3, Batch   1657, Loss  0.851177, Average Loss  0.871069, Time  0.239725
2021-09-16 06:34:33.763311 : Epoch  6, Batch    124, Loss  0.887956, Average Loss  0.869428, Time  0.266730
2021-09-16 06:34:34.919859 : Epoch  3, Batch   1658, Loss  0.894838, Average Loss  0.871270, Time  0.241869
2021-09-16 06:34:36.780181 : Epoch  6, Batch    125, Loss  0.876749, Average Loss  0.869510, Time  0.266219
2021-09-16 06:34:37.520381 : Epoch  3, Batch   1659, Loss  0.881242, Average Loss  0.871408, Time  0.240405
2021-09-16 06:34:39.798246 : Epoch  6, Batch    126, Loss  0.864044, Average Loss  0.869442, Time  0.266354
2021-09-16 06:34:40.131420 : Epoch  3, Batch   1660, Loss  0.876658, Average Loss  0.871433, Time  0.240427
2021-09-16 06:34:42.724746 : Epoch  3, Batch   1661, Loss  0.873322, Average Loss  0.871396, Time  0.240940
2021-09-16 06:34:42.829675 : Epoch  6, Batch    127, Loss  0.867525, Average Loss  0.869514, Time  0.265810
2021-09-16 06:34:45.316402 : Epoch  3, Batch   1662, Loss  0.896080, Average Loss  0.871441, Time  0.239548
2021-09-16 06:34:45.876327 : Epoch  6, Batch    128, Loss  0.871412, Average Loss  0.869477, Time  0.267914
2021-09-16 06:34:47.925004 : Epoch  3, Batch   1663, Loss  0.861349, Average Loss  0.871349, Time  0.242362
2021-09-16 06:34:48.920758 : Epoch  6, Batch    129, Loss  0.882584, Average Loss  0.869584, Time  0.265084
2021-09-16 06:34:50.514538 : Epoch  3, Batch   1664, Loss  0.851403, Average Loss  0.871234, Time  0.240979
2021-09-16 06:34:51.958986 : Epoch  6, Batch    130, Loss  0.866396, Average Loss  0.869545, Time  0.271931
2021-09-16 06:34:53.111060 : Epoch  3, Batch   1665, Loss  0.886212, Average Loss  0.871315, Time  0.240262
2021-09-16 06:34:55.019743 : Epoch  6, Batch    131, Loss  0.865522, Average Loss  0.869607, Time  0.263576
2021-09-16 06:34:55.711814 : Epoch  3, Batch   1666, Loss  0.869225, Average Loss  0.871315, Time  0.243010
2021-09-16 06:34:58.035471 : Epoch  6, Batch    132, Loss  0.862329, Average Loss  0.869652, Time  0.265039
2021-09-16 06:34:58.314919 : Epoch  3, Batch   1667, Loss  0.873205, Average Loss  0.871352, Time  0.243547
2021-09-16 06:35:00.904387 : Epoch  3, Batch   1668, Loss  0.852826, Average Loss  0.871269, Time  0.239841
2021-09-16 06:35:01.038458 : Epoch  6, Batch    133, Loss  0.854861, Average Loss  0.869444, Time  0.265594
2021-09-16 06:35:03.504402 : Epoch  3, Batch   1669, Loss  0.878958, Average Loss  0.871290, Time  0.239570
2021-09-16 06:35:04.050734 : Epoch  6, Batch    134, Loss  0.892658, Average Loss  0.869540, Time  0.265583
2021-09-16 06:35:06.096918 : Epoch  3, Batch   1670, Loss  0.880294, Average Loss  0.871434, Time  0.241164
2021-09-16 06:35:07.089360 : Epoch  6, Batch    135, Loss  0.848168, Average Loss  0.869473, Time  0.265998
2021-09-16 06:35:08.688392 : Epoch  3, Batch   1671, Loss  0.871018, Average Loss  0.871478, Time  0.239801
2021-09-16 06:35:10.127379 : Epoch  6, Batch    136, Loss  0.869218, Average Loss  0.869548, Time  0.266426
2021-09-16 06:35:11.278178 : Epoch  3, Batch   1672, Loss  0.868910, Average Loss  0.871437, Time  0.240360
2021-09-16 06:35:13.123969 : Epoch  6, Batch    137, Loss  0.892356, Average Loss  0.869604, Time  0.264974
2021-09-16 06:35:13.882398 : Epoch  3, Batch   1673, Loss  0.858496, Average Loss  0.871446, Time  0.241124
2021-09-16 06:35:16.147049 : Epoch  6, Batch    138, Loss  0.861523, Average Loss  0.869552, Time  0.267647
2021-09-16 06:35:16.475882 : Epoch  3, Batch   1674, Loss  0.901203, Average Loss  0.871507, Time  0.240160
2021-09-16 06:35:19.067967 : Epoch  3, Batch   1675, Loss  0.855541, Average Loss  0.871299, Time  0.240533
2021-09-16 06:35:19.162916 : Epoch  6, Batch    139, Loss  0.856980, Average Loss  0.869559, Time  0.265227
2021-09-16 06:35:21.657434 : Epoch  3, Batch   1676, Loss  0.897948, Average Loss  0.871383, Time  0.239856
2021-09-16 06:35:22.197127 : Epoch  6, Batch    140, Loss  0.851782, Average Loss  0.869482, Time  0.265941
2021-09-16 06:35:24.242110 : Epoch  3, Batch   1677, Loss  0.861719, Average Loss  0.871349, Time  0.240443
2021-09-16 06:35:25.223030 : Epoch  6, Batch    141, Loss  0.890997, Average Loss  0.869567, Time  0.265308
2021-09-16 06:35:26.839804 : Epoch  3, Batch   1678, Loss  0.855120, Average Loss  0.871276, Time  0.241015
2021-09-16 06:35:28.235142 : Epoch  6, Batch    142, Loss  0.889525, Average Loss  0.869622, Time  0.265947
2021-09-16 06:35:29.446654 : Epoch  3, Batch   1679, Loss  0.853022, Average Loss  0.871165, Time  0.243366
2021-09-16 06:35:31.278132 : Epoch  6, Batch    143, Loss  0.858113, Average Loss  0.869473, Time  0.266726
2021-09-16 06:35:32.048826 : Epoch  3, Batch   1680, Loss  0.887495, Average Loss  0.871180, Time  0.239766
2021-09-16 06:35:34.329242 : Epoch  6, Batch    144, Loss  0.877972, Average Loss  0.869502, Time  0.267078
2021-09-16 06:35:34.660889 : Epoch  3, Batch   1681, Loss  0.861378, Average Loss  0.870984, Time  0.241742
2021-09-16 06:35:37.231092 : Epoch  3, Batch   1682, Loss  0.877658, Average Loss  0.871133, Time  0.240232
2021-09-16 06:35:37.356109 : Epoch  6, Batch    145, Loss  0.906841, Average Loss  0.869737, Time  0.277931
2021-09-16 06:35:39.821546 : Epoch  3, Batch   1683, Loss  0.878009, Average Loss  0.871242, Time  0.241056
2021-09-16 06:35:40.383428 : Epoch  6, Batch    146, Loss  0.853261, Average Loss  0.869705, Time  0.267388
2021-09-16 06:35:42.413120 : Epoch  3, Batch   1684, Loss  0.867150, Average Loss  0.871187, Time  0.242056
2021-09-16 06:35:43.396937 : Epoch  6, Batch    147, Loss  0.874385, Average Loss  0.869718, Time  0.265762
2021-09-16 06:35:44.998262 : Epoch  3, Batch   1685, Loss  0.866125, Average Loss  0.871176, Time  0.240353
2021-09-16 06:35:46.403470 : Epoch  6, Batch    148, Loss  0.864340, Average Loss  0.869744, Time  0.265616
2021-09-16 06:35:47.613755 : Epoch  3, Batch   1686, Loss  0.881890, Average Loss  0.871228, Time  0.240729
2021-09-16 06:35:49.431131 : Epoch  6, Batch    149, Loss  0.871669, Average Loss  0.869824, Time  0.265697
2021-09-16 06:35:50.208951 : Epoch  3, Batch   1687, Loss  0.867014, Average Loss  0.871311, Time  0.241620
2021-09-16 06:35:52.436803 : Epoch  6, Batch    150, Loss  0.857357, Average Loss  0.869805, Time  0.265101
2021-09-16 06:35:52.814676 : Epoch  3, Batch   1688, Loss  0.859335, Average Loss  0.871315, Time  0.240041
2021-09-16 06:35:55.452047 : Epoch  6, Batch    151, Loss  0.872566, Average Loss  0.869830, Time  0.267022
2021-09-16 06:35:58.490397 : Epoch  6, Batch    152, Loss  0.880380, Average Loss  0.869930, Time  0.266464
2021-09-16 06:36:01.521486 : Epoch  6, Batch    153, Loss  0.899539, Average Loss  0.870030, Time  0.265335
2021-09-16 06:36:04.541452 : Epoch  6, Batch    154, Loss  0.869832, Average Loss  0.869937, Time  0.265085
2021-09-16 06:36:07.555110 : Epoch  6, Batch    155, Loss  0.847271, Average Loss  0.869767, Time  0.265426
2021-09-16 06:36:10.607866 : Epoch  6, Batch    156, Loss  0.867719, Average Loss  0.869678, Time  0.266016
2021-09-16 06:36:13.633931 : Epoch  6, Batch    157, Loss  0.862969, Average Loss  0.869594, Time  0.266060
2021-09-16 06:36:16.655532 : Epoch  6, Batch    158, Loss  0.864836, Average Loss  0.869533, Time  0.264849
2021-09-16 06:36:19.668856 : Epoch  6, Batch    159, Loss  0.875746, Average Loss  0.869612, Time  0.265271
2021-09-16 06:36:22.694657 : Epoch  6, Batch    160, Loss  0.893865, Average Loss  0.869771, Time  0.274103
2021-09-16 06:36:25.713961 : Epoch  6, Batch    161, Loss  0.851701, Average Loss  0.869809, Time  0.266091
2021-09-16 06:36:28.727240 : Epoch  6, Batch    162, Loss  0.878670, Average Loss  0.869922, Time  0.266060
2021-09-16 06:36:31.766843 : Epoch  6, Batch    163, Loss  0.872562, Average Loss  0.869897, Time  0.267085
2021-09-16 06:36:34.811476 : Epoch  6, Batch    164, Loss  0.852044, Average Loss  0.869808, Time  0.266551
2021-09-16 06:36:37.838229 : Epoch  6, Batch    165, Loss  0.863999, Average Loss  0.869776, Time  0.266000
2021-09-16 06:36:40.880930 : Epoch  6, Batch    166, Loss  0.860481, Average Loss  0.869816, Time  0.266523
2021-09-16 06:36:43.905022 : Epoch  6, Batch    167, Loss  0.868437, Average Loss  0.869815, Time  0.267608
2021-09-16 06:36:46.928217 : Epoch  6, Batch    168, Loss  0.882248, Average Loss  0.869822, Time  0.266804
2021-09-16 06:36:49.953498 : Epoch  6, Batch    169, Loss  0.869327, Average Loss  0.869791, Time  0.265832
2021-09-16 06:36:52.962679 : Epoch  6, Batch    170, Loss  0.882305, Average Loss  0.870011, Time  0.265344
2021-09-16 06:36:55.995062 : Epoch  6, Batch    171, Loss  0.880513, Average Loss  0.870191, Time  0.264459
2021-09-16 06:36:59.001308 : Epoch  6, Batch    172, Loss  0.858217, Average Loss  0.870130, Time  0.265453
2021-09-16 06:37:02.042174 : Epoch  6, Batch    173, Loss  0.867665, Average Loss  0.870183, Time  0.265176
2021-09-16 06:37:05.064069 : Epoch  6, Batch    174, Loss  0.870916, Average Loss  0.870089, Time  0.264766
2021-09-16 06:37:08.085997 : Epoch  6, Batch    175, Loss  0.862288, Average Loss  0.870001, Time  0.278351
2021-09-16 06:37:11.111967 : Epoch  6, Batch    176, Loss  0.865854, Average Loss  0.870048, Time  0.267166
2021-09-16 06:37:14.166432 : Epoch  6, Batch    177, Loss  0.869883, Average Loss  0.870033, Time  0.266213
2021-09-16 06:37:17.200625 : Epoch  6, Batch    178, Loss  0.854738, Average Loss  0.869983, Time  0.267492
2021-09-16 06:37:20.250811 : Epoch  6, Batch    179, Loss  0.867668, Average Loss  0.869919, Time  0.265661
2021-09-16 06:37:23.301865 : Epoch  6, Batch    180, Loss  0.873349, Average Loss  0.869960, Time  0.266241
2021-09-16 06:37:26.358634 : Epoch  6, Batch    181, Loss  0.878378, Average Loss  0.869925, Time  0.265683
2021-09-16 06:37:29.389652 : Epoch  6, Batch    182, Loss  0.862622, Average Loss  0.869872, Time  0.265941
2021-09-16 06:37:32.437966 : Epoch  6, Batch    183, Loss  0.865047, Average Loss  0.869802, Time  0.266919
2021-09-16 06:37:35.474713 : Epoch  6, Batch    184, Loss  0.866073, Average Loss  0.869740, Time  0.265085
2021-09-16 06:37:38.486545 : Epoch  6, Batch    185, Loss  0.884921, Average Loss  0.869818, Time  0.267825
2021-09-16 06:37:41.443608 : Epoch  6, Batch    186, Loss  0.858960, Average Loss  0.869723, Time  0.267140
2021-09-16 06:37:44.469120 : Epoch  6, Batch    187, Loss  0.881250, Average Loss  0.869795, Time  0.265711
2021-09-16 06:37:47.477038 : Epoch  6, Batch    188, Loss  0.861096, Average Loss  0.869744, Time  0.266111
2021-09-16 06:37:50.496977 : Epoch  6, Batch    189, Loss  0.872071, Average Loss  0.869712, Time  0.265757
2021-09-16 06:37:53.549651 : Epoch  6, Batch    190, Loss  0.880466, Average Loss  0.869703, Time  0.277654
2021-09-16 06:37:56.553516 : Epoch  6, Batch    191, Loss  0.853224, Average Loss  0.869641, Time  0.264620
2021-09-16 06:37:59.577020 : Epoch  6, Batch    192, Loss  0.868230, Average Loss  0.869641, Time  0.266631
2021-09-16 06:38:02.601185 : Epoch  6, Batch    193, Loss  0.853306, Average Loss  0.869647, Time  0.265097
2021-09-16 06:38:05.616663 : Epoch  6, Batch    194, Loss  0.880395, Average Loss  0.869689, Time  0.264926
2021-09-16 06:38:08.624103 : Epoch  6, Batch    195, Loss  0.869118, Average Loss  0.869685, Time  0.265503
2021-09-16 06:38:11.640077 : Epoch  6, Batch    196, Loss  0.860443, Average Loss  0.869813, Time  0.265721
2021-09-16 06:38:14.655660 : Epoch  6, Batch    197, Loss  0.879498, Average Loss  0.869902, Time  0.266360
2021-09-16 06:38:17.699334 : Epoch  6, Batch    198, Loss  0.871411, Average Loss  0.869837, Time  0.265958
2021-09-16 06:38:20.723325 : Epoch  6, Batch    199, Loss  0.887115, Average Loss  0.869990, Time  0.265304
2021-09-16 06:38:23.727277 : Epoch  6, Batch    200, Loss  0.855611, Average Loss  0.869871, Time  0.265480
2021-09-16 06:38:26.737442 : Epoch  6, Batch    201, Loss  0.867217, Average Loss  0.869874, Time  0.265529
2021-09-16 06:38:29.777520 : Epoch  6, Batch    202, Loss  0.886503, Average Loss  0.869946, Time  0.265526
2021-09-16 06:38:32.812810 : Epoch  6, Batch    203, Loss  0.866257, Average Loss  0.869936, Time  0.267018
2021-09-16 06:38:35.808945 : Epoch  6, Batch    204, Loss  0.878597, Average Loss  0.869978, Time  0.266156
2021-09-16 06:38:38.839898 : Epoch  6, Batch    205, Loss  0.891351, Average Loss  0.870015, Time  0.278969
2021-09-16 06:38:41.854245 : Epoch  6, Batch    206, Loss  0.872934, Average Loss  0.870110, Time  0.266207
2021-09-16 06:38:44.897113 : Epoch  6, Batch    207, Loss  0.884865, Average Loss  0.870163, Time  0.266220
2021-09-16 06:38:47.909005 : Epoch  6, Batch    208, Loss  0.872243, Average Loss  0.870156, Time  0.265033
2021-09-16 06:38:50.949975 : Epoch  6, Batch    209, Loss  0.866326, Average Loss  0.870226, Time  0.266652
2021-09-16 06:38:53.965287 : Epoch  6, Batch    210, Loss  0.852747, Average Loss  0.870039, Time  0.268824
2021-09-16 06:38:57.019225 : Epoch  6, Batch    211, Loss  0.840745, Average Loss  0.869967, Time  0.265974
2021-09-16 06:39:00.049949 : Epoch  6, Batch    212, Loss  0.841020, Average Loss  0.869778, Time  0.265562
2021-09-16 06:39:03.102808 : Epoch  6, Batch    213, Loss  0.879885, Average Loss  0.869778, Time  0.265366
2021-09-16 06:39:06.129529 : Epoch  6, Batch    214, Loss  0.892995, Average Loss  0.869856, Time  0.265564
2021-09-16 06:39:09.167262 : Epoch  6, Batch    215, Loss  0.861723, Average Loss  0.869807, Time  0.267087
2021-09-16 06:39:12.161303 : Epoch  6, Batch    216, Loss  0.868290, Average Loss  0.869897, Time  0.265177
2021-09-16 06:39:15.202258 : Epoch  6, Batch    217, Loss  0.857289, Average Loss  0.869853, Time  0.267881
2021-09-16 06:39:18.243226 : Epoch  6, Batch    218, Loss  0.885287, Average Loss  0.870024, Time  0.266147
2021-09-16 06:39:21.299052 : Epoch  6, Batch    219, Loss  0.866849, Average Loss  0.870035, Time  0.265723
2021-09-16 06:39:24.352697 : Epoch  6, Batch    220, Loss  0.860850, Average Loss  0.869921, Time  0.274087
2021-09-16 06:39:55.024731 : CheckPoint: Validation Loss  0.00030614, Best Loss  0.00029226
2021-09-16 06:39:57.648060 : Epoch  3, Batch   1689, Loss  0.896737, Average Loss  0.871322, Time  0.271879
2021-09-16 06:40:00.237959 : Epoch  3, Batch   1690, Loss  0.866974, Average Loss  0.871315, Time  0.249328
2021-09-16 06:40:02.827345 : Epoch  3, Batch   1691, Loss  0.892585, Average Loss  0.871447, Time  0.239872
2021-09-16 06:40:05.412378 : Epoch  3, Batch   1692, Loss  0.833011, Average Loss  0.871319, Time  0.240457
2021-09-16 06:40:08.005567 : Epoch  3, Batch   1693, Loss  0.865024, Average Loss  0.871402, Time  0.239634
2021-09-16 06:40:10.598251 : Epoch  3, Batch   1694, Loss  0.877240, Average Loss  0.871545, Time  0.239709
2021-09-16 06:40:13.221100 : Epoch  3, Batch   1695, Loss  0.869160, Average Loss  0.871587, Time  0.241791
2021-09-16 06:40:15.811469 : Epoch  3, Batch   1696, Loss  0.867086, Average Loss  0.871488, Time  0.240032
2021-09-16 06:40:18.393769 : Epoch  3, Batch   1697, Loss  0.872832, Average Loss  0.871500, Time  0.239835
2021-09-16 06:40:20.984196 : Epoch  3, Batch   1698, Loss  0.846850, Average Loss  0.871423, Time  0.240941
2021-09-16 06:40:23.568821 : Epoch  3, Batch   1699, Loss  0.864310, Average Loss  0.871411, Time  0.240136
2021-09-16 06:40:26.163119 : Epoch  3, Batch   1700, Loss  0.871918, Average Loss  0.871365, Time  0.241437
2021-09-16 06:40:28.764264 : Epoch  3, Batch   1701, Loss  0.868004, Average Loss  0.871344, Time  0.240046
2021-09-16 06:40:31.347994 : Epoch  3, Batch   1702, Loss  0.866356, Average Loss  0.871288, Time  0.240383
2021-09-16 06:40:33.934125 : Epoch  3, Batch   1703, Loss  0.852497, Average Loss  0.871208, Time  0.240278
2021-09-16 06:40:36.529577 : Epoch  3, Batch   1704, Loss  0.886823, Average Loss  0.871220, Time  0.241145
2021-09-16 06:40:39.116906 : Epoch  3, Batch   1705, Loss  0.861368, Average Loss  0.871219, Time  0.240969
2021-09-16 06:40:41.716700 : Epoch  3, Batch   1706, Loss  0.872270, Average Loss  0.871106, Time  0.240222
2021-09-16 06:40:44.308430 : Epoch  3, Batch   1707, Loss  0.879435, Average Loss  0.871146, Time  0.240482
2021-09-16 06:40:46.913403 : Epoch  3, Batch   1708, Loss  0.872704, Average Loss  0.871063, Time  0.239988
2021-09-16 06:40:49.511690 : Epoch  3, Batch   1709, Loss  0.863397, Average Loss  0.871012, Time  0.240819
2021-09-16 06:40:52.094150 : Epoch  3, Batch   1710, Loss  0.880642, Average Loss  0.871129, Time  0.240351
2021-09-16 06:40:54.703928 : Epoch  3, Batch   1711, Loss  0.874520, Average Loss  0.871081, Time  0.240246
2021-09-16 06:40:57.291271 : Epoch  3, Batch   1712, Loss  0.878513, Average Loss  0.871132, Time  0.239852
2021-09-16 06:40:59.878296 : Epoch  3, Batch   1713, Loss  0.878268, Average Loss  0.871248, Time  0.239729
2021-09-16 06:41:02.459434 : Epoch  3, Batch   1714, Loss  0.871734, Average Loss  0.871241, Time  0.240331
2021-09-16 06:41:05.044384 : Epoch  3, Batch   1715, Loss  0.870571, Average Loss  0.871238, Time  0.240143
2021-09-16 06:41:07.631505 : Epoch  3, Batch   1716, Loss  0.872079, Average Loss  0.871253, Time  0.239771
2021-09-16 06:41:10.224398 : Epoch  3, Batch   1717, Loss  0.850820, Average Loss  0.871155, Time  0.240320
2021-09-16 06:41:12.813833 : Epoch  3, Batch   1718, Loss  0.855081, Average Loss  0.871060, Time  0.242031
2021-09-16 06:41:15.404396 : Epoch  3, Batch   1719, Loss  0.879811, Average Loss  0.871140, Time  0.241705
2021-09-16 06:41:17.991858 : Epoch  3, Batch   1720, Loss  0.873585, Average Loss  0.871219, Time  0.240115
2021-09-16 06:41:20.601399 : Epoch  3, Batch   1721, Loss  0.895062, Average Loss  0.871327, Time  0.241363
2021-09-16 06:41:23.185905 : Epoch  3, Batch   1722, Loss  0.860855, Average Loss  0.871230, Time  0.240311
2021-09-16 06:41:25.789469 : Epoch  3, Batch   1723, Loss  0.879665, Average Loss  0.871269, Time  0.241693
2021-09-16 06:41:28.392739 : Epoch  3, Batch   1724, Loss  0.889546, Average Loss  0.871388, Time  0.240892
2021-09-16 06:41:30.980036 : Epoch  3, Batch   1725, Loss  0.872081, Average Loss  0.871475, Time  0.240243
2021-09-16 06:41:33.567037 : Epoch  3, Batch   1726, Loss  0.873236, Average Loss  0.871559, Time  0.243189
2021-09-16 06:41:36.147837 : Epoch  3, Batch   1727, Loss  0.853041, Average Loss  0.871458, Time  0.240462
2021-09-16 06:41:38.726739 : Epoch  3, Batch   1728, Loss  0.864057, Average Loss  0.871477, Time  0.239842
2021-09-16 06:41:41.312111 : Epoch  3, Batch   1729, Loss  0.856713, Average Loss  0.871437, Time  0.240067
2021-09-16 06:41:43.899775 : Epoch  3, Batch   1730, Loss  0.873337, Average Loss  0.871355, Time  0.240106
2021-09-16 06:41:46.485204 : Epoch  3, Batch   1731, Loss  0.872475, Average Loss  0.871428, Time  0.240267
2021-09-16 06:41:49.071897 : Epoch  3, Batch   1732, Loss  0.860168, Average Loss  0.871441, Time  0.240399
2021-09-16 06:41:51.657907 : Epoch  3, Batch   1733, Loss  0.866624, Average Loss  0.871311, Time  0.240009
2021-09-16 06:41:54.240364 : Epoch  3, Batch   1734, Loss  0.836355, Average Loss  0.871077, Time  0.240006
2021-09-16 06:41:56.825852 : Epoch  3, Batch   1735, Loss  0.863911, Average Loss  0.870958, Time  0.240769
2021-09-16 06:41:59.411723 : Epoch  3, Batch   1736, Loss  0.866694, Average Loss  0.871019, Time  0.240450
2021-09-16 06:42:01.988828 : Epoch  3, Batch   1737, Loss  0.873329, Average Loss  0.870976, Time  0.240807
2021-09-16 06:42:04.576900 : Epoch  3, Batch   1738, Loss  0.887957, Average Loss  0.871073, Time  0.240875
2021-09-16 06:42:07.165298 : Epoch  3, Batch   1739, Loss  0.855646, Average Loss  0.870877, Time  0.240055
2021-09-16 06:42:09.745349 : Epoch  3, Batch   1740, Loss  0.881273, Average Loss  0.870866, Time  0.240144
2021-09-16 06:42:12.333208 : Epoch  3, Batch   1741, Loss  0.858504, Average Loss  0.870867, Time  0.240504
2021-09-16 06:42:14.907505 : Epoch  3, Batch   1742, Loss  0.870114, Average Loss  0.870884, Time  0.239954
2021-09-16 06:42:17.507722 : Epoch  3, Batch   1743, Loss  0.865728, Average Loss  0.870882, Time  0.240072
2021-09-16 06:42:20.106712 : Epoch  3, Batch   1744, Loss  0.875100, Average Loss  0.870870, Time  0.241304
2021-09-16 06:42:22.693877 : Epoch  3, Batch   1745, Loss  0.891599, Average Loss  0.871012, Time  0.240342
2021-09-16 06:42:25.281541 : Epoch  3, Batch   1746, Loss  0.865745, Average Loss  0.870960, Time  0.240542
2021-09-16 06:42:27.879086 : Epoch  3, Batch   1747, Loss  0.868302, Average Loss  0.870866, Time  0.244445
2021-09-16 06:42:30.456542 : Epoch  3, Batch   1748, Loss  0.896820, Average Loss  0.870999, Time  0.242734
2021-09-16 06:42:33.049011 : Epoch  3, Batch   1749, Loss  0.884870, Average Loss  0.871101, Time  0.241831
2021-09-16 06:42:35.650002 : Epoch  3, Batch   1750, Loss  0.876611, Average Loss  0.871188, Time  0.240755
2021-09-16 06:42:38.231213 : Epoch  3, Batch   1751, Loss  0.868840, Average Loss  0.871133, Time  0.240365
2021-09-16 06:42:40.822839 : Epoch  3, Batch   1752, Loss  0.875743, Average Loss  0.871101, Time  0.240113
2021-09-16 06:42:43.407405 : Epoch  3, Batch   1753, Loss  0.857309, Average Loss  0.871164, Time  0.239735
2021-09-16 06:42:45.988150 : Epoch  3, Batch   1754, Loss  0.864232, Average Loss  0.871087, Time  0.240332
2021-09-16 06:42:48.578836 : Epoch  3, Batch   1755, Loss  0.860970, Average Loss  0.871000, Time  0.243802
2021-09-16 06:42:51.169731 : Epoch  3, Batch   1756, Loss  0.889039, Average Loss  0.871122, Time  0.241107
2021-09-16 06:42:53.754926 : Epoch  3, Batch   1757, Loss  0.869669, Average Loss  0.871163, Time  0.240015
2021-09-16 06:42:56.339486 : Epoch  3, Batch   1758, Loss  0.868656, Average Loss  0.871165, Time  0.240812
2021-09-16 06:42:58.925601 : Epoch  3, Batch   1759, Loss  0.874547, Average Loss  0.871173, Time  0.240935
2021-09-16 06:43:01.508673 : Epoch  3, Batch   1760, Loss  0.862744, Average Loss  0.871174, Time  0.240215
2021-09-16 06:43:04.097331 : Epoch  3, Batch   1761, Loss  0.866288, Average Loss  0.871233, Time  0.240358
2021-09-16 06:43:06.685864 : Epoch  3, Batch   1762, Loss  0.877399, Average Loss  0.871157, Time  0.241886
2021-09-16 06:43:09.267833 : Epoch  3, Batch   1763, Loss  0.869391, Average Loss  0.871098, Time  0.239928
2021-09-16 06:43:11.851878 : Epoch  3, Batch   1764, Loss  0.863245, Average Loss  0.871015, Time  0.240565
2021-09-16 06:43:14.494908 : Epoch  3, Batch   1765, Loss  0.872647, Average Loss  0.871025, Time  0.240977
2021-09-16 06:43:17.080432 : Epoch  3, Batch   1766, Loss  0.851051, Average Loss  0.870952, Time  0.240703
2021-09-16 06:43:19.683341 : Epoch  3, Batch   1767, Loss  0.869441, Average Loss  0.870912, Time  0.240572
2021-09-16 06:43:22.269556 : Epoch  3, Batch   1768, Loss  0.882237, Average Loss  0.870888, Time  0.241126
2021-09-16 06:43:24.877251 : Epoch  3, Batch   1769, Loss  0.872819, Average Loss  0.870770, Time  0.239732
2021-09-16 06:43:27.465476 : Epoch  3, Batch   1770, Loss  0.889423, Average Loss  0.870843, Time  0.240986
2021-09-16 06:43:30.056405 : Epoch  3, Batch   1771, Loss  0.856378, Average Loss  0.870654, Time  0.241569
2021-09-16 06:43:32.666434 : Epoch  3, Batch   1772, Loss  0.853889, Average Loss  0.870559, Time  0.240242
2021-09-16 06:43:35.254697 : Epoch  3, Batch   1773, Loss  0.861406, Average Loss  0.870526, Time  0.240098
2021-09-16 06:43:37.852017 : Epoch  3, Batch   1774, Loss  0.876682, Average Loss  0.870610, Time  0.241609
2021-09-16 06:43:40.434728 : Epoch  3, Batch   1775, Loss  0.872346, Average Loss  0.870643, Time  0.240738
2021-09-16 06:43:43.023488 : Epoch  3, Batch   1776, Loss  0.864409, Average Loss  0.870605, Time  0.240555
2021-09-16 06:43:45.617688 : Epoch  3, Batch   1777, Loss  0.850236, Average Loss  0.870519, Time  0.239907
2021-09-16 06:43:48.209181 : Epoch  3, Batch   1778, Loss  0.865623, Average Loss  0.870579, Time  0.241250
2021-09-16 06:43:50.788717 : Epoch  3, Batch   1779, Loss  0.870240, Average Loss  0.870514, Time  0.239785
2021-09-16 06:43:53.372545 : Epoch  3, Batch   1780, Loss  0.873706, Average Loss  0.870560, Time  0.239882
2021-09-16 06:43:55.953386 : Epoch  3, Batch   1781, Loss  0.855156, Average Loss  0.870405, Time  0.239998
2021-09-16 06:43:58.541404 : Epoch  3, Batch   1782, Loss  0.876537, Average Loss  0.870476, Time  0.239660
2021-09-16 06:44:01.125882 : Epoch  3, Batch   1783, Loss  0.874156, Average Loss  0.870412, Time  0.239869
2021-09-16 06:44:03.590491 : CheckPoint: Validation Loss  0.00030210, Best Loss  0.00029295
2021-09-16 06:44:03.738790 : Epoch  3, Batch   1784, Loss  0.864777, Average Loss  0.870306, Time  0.239769
2021-09-16 06:44:06.315075 : Epoch  3, Batch   1785, Loss  0.854019, Average Loss  0.870256, Time  0.240816
2021-09-16 06:44:06.581758 : Epoch  6, Batch    221, Loss  0.861930, Average Loss  0.869906, Time  0.267000
2021-09-16 06:44:08.905106 : Epoch  3, Batch   1786, Loss  0.853778, Average Loss  0.870137, Time  0.240712
2021-09-16 06:44:09.595515 : Epoch  6, Batch    222, Loss  0.868635, Average Loss  0.869815, Time  0.277519
2021-09-16 06:44:11.493615 : Epoch  3, Batch   1787, Loss  0.868837, Average Loss  0.870162, Time  0.242668
2021-09-16 06:44:12.625191 : Epoch  6, Batch    223, Loss  0.877193, Average Loss  0.869830, Time  0.266199
2021-09-16 06:44:14.083822 : Epoch  3, Batch   1788, Loss  0.877721, Average Loss  0.870261, Time  0.241107
2021-09-16 06:44:15.627209 : Epoch  6, Batch    224, Loss  0.873205, Average Loss  0.869845, Time  0.265678
2021-09-16 06:44:18.641463 : Epoch  6, Batch    225, Loss  0.865697, Average Loss  0.869816, Time  0.266462
2021-09-16 06:44:21.687354 : Epoch  6, Batch    226, Loss  0.867337, Average Loss  0.869708, Time  0.265841
2021-09-16 06:44:24.752379 : Epoch  6, Batch    227, Loss  0.856512, Average Loss  0.869567, Time  0.266823
2021-09-16 06:44:27.759761 : Epoch  6, Batch    228, Loss  0.874378, Average Loss  0.869591, Time  0.265171
2021-09-16 06:44:30.770464 : Epoch  6, Batch    229, Loss  0.866899, Average Loss  0.869707, Time  0.264863
2021-09-16 06:44:33.810652 : Epoch  6, Batch    230, Loss  0.852961, Average Loss  0.869551, Time  0.266497
2021-09-16 06:44:36.838739 : Epoch  6, Batch    231, Loss  0.859674, Average Loss  0.869555, Time  0.266318
2021-09-16 06:44:39.864339 : Epoch  6, Batch    232, Loss  0.890478, Average Loss  0.869596, Time  0.265302
2021-09-16 06:44:42.878409 : Epoch  6, Batch    233, Loss  0.866912, Average Loss  0.869521, Time  0.266288
2021-09-16 06:44:45.915404 : Epoch  6, Batch    234, Loss  0.866925, Average Loss  0.869551, Time  0.265498
2021-09-16 06:44:48.937741 : Epoch  6, Batch    235, Loss  0.869595, Average Loss  0.869591, Time  0.265338
2021-09-16 06:44:51.958367 : Epoch  6, Batch    236, Loss  0.859812, Average Loss  0.869520, Time  0.264815
2021-09-16 06:44:54.995133 : Epoch  6, Batch    237, Loss  0.884154, Average Loss  0.869594, Time  0.278540
2021-09-16 06:44:58.009385 : Epoch  6, Batch    238, Loss  0.851199, Average Loss  0.869469, Time  0.265750
2021-09-16 06:45:01.020180 : Epoch  6, Batch    239, Loss  0.879328, Average Loss  0.869478, Time  0.265271
2021-09-16 06:45:04.060303 : Epoch  6, Batch    240, Loss  0.872262, Average Loss  0.869449, Time  0.265887
2021-09-16 06:45:07.114969 : Epoch  6, Batch    241, Loss  0.850575, Average Loss  0.869421, Time  0.266536
2021-09-16 06:45:10.114959 : Epoch  6, Batch    242, Loss  0.852836, Average Loss  0.869328, Time  0.267141
2021-09-16 06:45:13.128132 : Epoch  6, Batch    243, Loss  0.873245, Average Loss  0.869317, Time  0.266358
2021-09-16 06:45:16.161085 : Epoch  6, Batch    244, Loss  0.867943, Average Loss  0.869301, Time  0.266306
2021-09-16 06:45:19.186895 : Epoch  6, Batch    245, Loss  0.868941, Average Loss  0.869227, Time  0.266807
2021-09-16 06:45:22.191042 : Epoch  6, Batch    246, Loss  0.897011, Average Loss  0.869407, Time  0.265942
2021-09-16 06:45:25.199103 : Epoch  6, Batch    247, Loss  0.875213, Average Loss  0.869470, Time  0.265351
2021-09-16 06:45:28.197709 : Epoch  6, Batch    248, Loss  0.877632, Average Loss  0.869562, Time  0.266093
2021-09-16 06:45:31.227947 : Epoch  6, Batch    249, Loss  0.859211, Average Loss  0.869549, Time  0.265136
2021-09-16 06:45:34.235116 : Epoch  6, Batch    250, Loss  0.878288, Average Loss  0.869610, Time  0.265438
2021-09-16 06:45:37.260864 : Epoch  6, Batch    251, Loss  0.852613, Average Loss  0.869603, Time  0.265884
2021-09-16 06:45:40.291552 : Epoch  6, Batch    252, Loss  0.864608, Average Loss  0.869683, Time  0.277285
2021-09-16 06:45:43.299576 : Epoch  6, Batch    253, Loss  0.884906, Average Loss  0.869769, Time  0.267386
2021-09-16 06:45:46.302336 : Epoch  6, Batch    254, Loss  0.880196, Average Loss  0.869685, Time  0.265689
2021-09-16 06:45:49.317487 : Epoch  6, Batch    255, Loss  0.859715, Average Loss  0.869638, Time  0.265907
2021-09-16 06:45:52.323567 : Epoch  6, Batch    256, Loss  0.881346, Average Loss  0.869640, Time  0.265287
2021-09-16 06:45:55.338510 : Epoch  6, Batch    257, Loss  0.873696, Average Loss  0.869692, Time  0.265188
2021-09-16 06:45:58.325452 : Epoch  6, Batch    258, Loss  0.878077, Average Loss  0.869696, Time  0.265057
2021-09-16 06:46:01.324992 : Epoch  6, Batch    259, Loss  0.856288, Average Loss  0.869618, Time  0.266649
2021-09-16 06:46:04.327077 : Epoch  6, Batch    260, Loss  0.872000, Average Loss  0.869583, Time  0.265317
2021-09-16 06:46:07.303036 : Epoch  6, Batch    261, Loss  0.889119, Average Loss  0.869726, Time  0.265945
2021-09-16 06:46:10.316299 : Epoch  6, Batch    262, Loss  0.889731, Average Loss  0.869813, Time  0.267597
2021-09-16 06:46:13.322521 : Epoch  6, Batch    263, Loss  0.855932, Average Loss  0.869732, Time  0.267080
2021-09-16 06:46:16.346945 : Epoch  6, Batch    264, Loss  0.889436, Average Loss  0.869879, Time  0.266498
2021-09-16 06:46:19.338492 : Epoch  6, Batch    265, Loss  0.875695, Average Loss  0.870086, Time  0.265602
2021-09-16 06:46:22.314432 : Epoch  6, Batch    266, Loss  0.882600, Average Loss  0.870224, Time  0.265278
2021-09-16 06:46:25.304988 : Epoch  6, Batch    267, Loss  0.876645, Average Loss  0.870324, Time  0.275626
2021-09-16 06:46:28.310328 : Epoch  6, Batch    268, Loss  0.878647, Average Loss  0.870343, Time  0.264850
2021-09-16 06:46:31.375930 : Epoch  6, Batch    269, Loss  0.864575, Average Loss  0.870344, Time  0.267491
2021-09-16 06:46:34.443854 : Epoch  6, Batch    270, Loss  0.878106, Average Loss  0.870358, Time  0.265239
2021-09-16 06:46:37.431434 : Epoch  6, Batch    271, Loss  0.887376, Average Loss  0.870476, Time  0.265374
2021-09-16 06:46:40.442212 : Epoch  6, Batch    272, Loss  0.875235, Average Loss  0.870531, Time  0.266529
2021-09-16 06:46:43.434729 : Epoch  6, Batch    273, Loss  0.879476, Average Loss  0.870506, Time  0.265884
2021-09-16 06:46:46.407202 : Epoch  6, Batch    274, Loss  0.878800, Average Loss  0.870560, Time  0.265172
2021-09-16 06:46:49.416098 : Epoch  6, Batch    275, Loss  0.882347, Average Loss  0.870686, Time  0.266297
2021-09-16 06:46:52.396740 : Epoch  6, Batch    276, Loss  0.857609, Average Loss  0.870673, Time  0.266186
2021-09-16 06:46:55.420905 : Epoch  6, Batch    277, Loss  0.878383, Average Loss  0.870765, Time  0.266383
2021-09-16 06:46:58.414372 : Epoch  6, Batch    278, Loss  0.862448, Average Loss  0.870625, Time  0.265347
2021-09-16 06:47:01.413973 : Epoch  6, Batch    279, Loss  0.879439, Average Loss  0.870725, Time  0.265739
2021-09-16 06:47:04.436052 : Epoch  6, Batch    280, Loss  0.873877, Average Loss  0.870739, Time  0.266462
2021-09-16 06:47:07.428782 : Epoch  6, Batch    281, Loss  0.869492, Average Loss  0.870760, Time  0.265399
2021-09-16 06:47:10.432905 : Epoch  6, Batch    282, Loss  0.858433, Average Loss  0.870710, Time  0.277947
2021-09-16 06:47:13.451127 : Epoch  6, Batch    283, Loss  0.879272, Average Loss  0.870783, Time  0.266225
2021-09-16 06:47:16.434094 : Epoch  6, Batch    284, Loss  0.852904, Average Loss  0.870649, Time  0.266604
2021-09-16 06:47:19.407436 : Epoch  6, Batch    285, Loss  0.854159, Average Loss  0.870545, Time  0.266160
2021-09-16 06:47:22.402071 : Epoch  6, Batch    286, Loss  0.872300, Average Loss  0.870452, Time  0.266344
2021-09-16 06:47:25.389356 : Epoch  6, Batch    287, Loss  0.876249, Average Loss  0.870503, Time  0.265898
2021-09-16 06:47:28.360209 : Epoch  6, Batch    288, Loss  0.861682, Average Loss  0.870380, Time  0.266530
2021-09-16 06:47:31.344250 : Epoch  6, Batch    289, Loss  0.905077, Average Loss  0.870480, Time  0.264884
2021-09-16 06:47:34.343978 : Epoch  6, Batch    290, Loss  0.897818, Average Loss  0.870536, Time  0.266350
2021-09-16 06:47:37.343267 : Epoch  6, Batch    291, Loss  0.880752, Average Loss  0.870621, Time  0.266495
2021-09-16 06:47:40.314329 : Epoch  6, Batch    292, Loss  0.847350, Average Loss  0.870537, Time  0.263933
2021-09-16 06:47:43.314134 : Epoch  6, Batch    293, Loss  0.895718, Average Loss  0.870621, Time  0.264818
2021-09-16 06:47:46.305310 : Epoch  6, Batch    294, Loss  0.872609, Average Loss  0.870580, Time  0.266324
2021-09-16 06:47:49.276441 : Epoch  6, Batch    295, Loss  0.876095, Average Loss  0.870571, Time  0.265399
2021-09-16 06:47:52.263400 : Epoch  6, Batch    296, Loss  0.874321, Average Loss  0.870642, Time  0.265768
2021-09-16 06:47:55.287972 : Epoch  6, Batch    297, Loss  0.875306, Average Loss  0.870664, Time  0.278219
2021-09-16 06:47:58.280885 : Epoch  6, Batch    298, Loss  0.853678, Average Loss  0.870484, Time  0.265143
2021-09-16 06:48:01.287841 : Epoch  6, Batch    299, Loss  0.883434, Average Loss  0.870527, Time  0.266402
2021-09-16 06:48:04.319203 : Epoch  6, Batch    300, Loss  0.850916, Average Loss  0.870437, Time  0.265900
2021-09-16 06:48:07.313414 : Epoch  6, Batch    301, Loss  0.863789, Average Loss  0.870443, Time  0.265361
2021-09-16 06:48:10.304124 : Epoch  6, Batch    302, Loss  0.868285, Average Loss  0.870298, Time  0.266529
2021-09-16 06:48:13.289246 : Epoch  6, Batch    303, Loss  0.880900, Average Loss  0.870256, Time  0.266080
2021-09-16 06:48:16.265608 : Epoch  6, Batch    304, Loss  0.853143, Average Loss  0.870219, Time  0.265513
2021-09-16 06:48:16.985908 : CheckPoint: Validation Loss  0.00030724, Best Loss  0.00029226
2021-09-16 06:48:19.209213 : Epoch  6, Batch    305, Loss  0.860302, Average Loss  0.870133, Time  0.266721
2021-09-16 06:48:19.601811 : Epoch  3, Batch   1789, Loss  0.869442, Average Loss  0.870310, Time  0.241168
2021-09-16 06:48:22.181522 : Epoch  6, Batch    306, Loss  0.877271, Average Loss  0.870170, Time  0.265419
2021-09-16 06:48:22.201334 : Epoch  3, Batch   1790, Loss  0.872711, Average Loss  0.870435, Time  0.241115
2021-09-16 06:48:24.856653 : Epoch  3, Batch   1791, Loss  0.847108, Average Loss  0.870267, Time  0.239808
2021-09-16 06:48:25.161656 : Epoch  6, Batch    307, Loss  0.894788, Average Loss  0.870391, Time  0.266710
2021-09-16 06:48:27.468936 : Epoch  3, Batch   1792, Loss  0.863945, Average Loss  0.870264, Time  0.240152
2021-09-16 06:48:28.150520 : Epoch  6, Batch    308, Loss  0.862807, Average Loss  0.870240, Time  0.266073
2021-09-16 06:48:30.089192 : Epoch  3, Batch   1793, Loss  0.836130, Average Loss  0.870092, Time  0.239720
2021-09-16 06:48:31.132552 : Epoch  6, Batch    309, Loss  0.869600, Average Loss  0.870270, Time  0.265396
2021-09-16 06:48:32.694515 : Epoch  3, Batch   1794, Loss  0.863005, Average Loss  0.870054, Time  0.241213
2021-09-16 06:48:34.116393 : Epoch  6, Batch    310, Loss  0.858641, Average Loss  0.870326, Time  0.264988
2021-09-16 06:48:35.305303 : Epoch  3, Batch   1795, Loss  0.888891, Average Loss  0.870028, Time  0.240153
2021-09-16 06:48:37.117319 : Epoch  6, Batch    311, Loss  0.858507, Average Loss  0.870285, Time  0.265445
2021-09-16 06:48:37.917335 : Epoch  3, Batch   1796, Loss  0.884074, Average Loss  0.870085, Time  0.240422
2021-09-16 06:48:40.100315 : Epoch  6, Batch    312, Loss  0.856704, Average Loss  0.870119, Time  0.276246
2021-09-16 06:48:40.538820 : Epoch  3, Batch   1797, Loss  0.861970, Average Loss  0.869997, Time  0.240968
2021-09-16 06:48:43.080439 : Epoch  6, Batch    313, Loss  0.876191, Average Loss  0.870184, Time  0.266931
2021-09-16 06:48:43.125906 : Epoch  3, Batch   1798, Loss  0.877666, Average Loss  0.869994, Time  0.240562
2021-09-16 06:48:45.732147 : Epoch  3, Batch   1799, Loss  0.879815, Average Loss  0.870065, Time  0.240486
2021-09-16 06:48:46.080234 : Epoch  6, Batch    314, Loss  0.867485, Average Loss  0.870188, Time  0.265889
2021-09-16 06:48:48.350434 : Epoch  3, Batch   1800, Loss  0.877618, Average Loss  0.870100, Time  0.240568
2021-09-16 06:48:49.047717 : Epoch  6, Batch    315, Loss  0.872951, Average Loss  0.870203, Time  0.264988
2021-09-16 06:48:50.961000 : Epoch  3, Batch   1801, Loss  0.864651, Average Loss  0.870000, Time  0.240926
2021-09-16 06:48:52.026827 : Epoch  6, Batch    316, Loss  0.859701, Average Loss  0.870089, Time  0.265885
2021-09-16 06:48:53.568413 : Epoch  3, Batch   1802, Loss  0.868787, Average Loss  0.869963, Time  0.243352
2021-09-16 06:48:55.026243 : Epoch  6, Batch    317, Loss  0.861425, Average Loss  0.870107, Time  0.265378
2021-09-16 06:48:56.181665 : Epoch  3, Batch   1803, Loss  0.880038, Average Loss  0.869963, Time  0.240032
2021-09-16 06:48:58.046164 : Epoch  6, Batch    318, Loss  0.878901, Average Loss  0.870220, Time  0.265821
2021-09-16 06:48:58.796036 : Epoch  3, Batch   1804, Loss  0.879005, Average Loss  0.869957, Time  0.240930
2021-09-16 06:49:01.067490 : Epoch  6, Batch    319, Loss  0.898794, Average Loss  0.870379, Time  0.265079
2021-09-16 06:49:01.409022 : Epoch  3, Batch   1805, Loss  0.873837, Average Loss  0.870001, Time  0.240080
2021-09-16 06:49:04.002711 : Epoch  3, Batch   1806, Loss  0.887330, Average Loss  0.870153, Time  0.241356
2021-09-16 06:49:04.069438 : Epoch  6, Batch    320, Loss  0.859069, Average Loss  0.870554, Time  0.266068
2021-09-16 06:49:06.617029 : Epoch  3, Batch   1807, Loss  0.851033, Average Loss  0.870109, Time  0.240561
2021-09-16 06:49:09.217574 : Epoch  3, Batch   1808, Loss  0.848932, Average Loss  0.870046, Time  0.240987
2021-09-16 06:49:11.819571 : Epoch  3, Batch   1809, Loss  0.855318, Average Loss  0.870015, Time  0.240207
2021-09-16 06:49:14.429417 : Epoch  3, Batch   1810, Loss  0.873365, Average Loss  0.870033, Time  0.239826
2021-09-16 06:49:17.040907 : Epoch  3, Batch   1811, Loss  0.857499, Average Loss  0.869883, Time  0.240325
2021-09-16 06:49:19.649426 : Epoch  3, Batch   1812, Loss  0.876905, Average Loss  0.869899, Time  0.239721
2021-09-16 06:49:22.260849 : Epoch  3, Batch   1813, Loss  0.885602, Average Loss  0.869972, Time  0.243202
2021-09-16 06:49:24.880725 : Epoch  3, Batch   1814, Loss  0.878825, Average Loss  0.870013, Time  0.240390
2021-09-16 06:49:27.487381 : Epoch  3, Batch   1815, Loss  0.845081, Average Loss  0.869925, Time  0.239752
2021-09-16 06:49:30.093226 : Epoch  3, Batch   1816, Loss  0.890411, Average Loss  0.870036, Time  0.240241
2021-09-16 06:49:32.701951 : Epoch  3, Batch   1817, Loss  0.858735, Average Loss  0.869973, Time  0.239657
2021-09-16 06:49:35.300221 : Epoch  3, Batch   1818, Loss  0.888125, Average Loss  0.870097, Time  0.241270
2021-09-16 06:49:37.912126 : Epoch  3, Batch   1819, Loss  0.888254, Average Loss  0.870153, Time  0.240334
2021-09-16 06:49:40.504700 : Epoch  3, Batch   1820, Loss  0.869386, Average Loss  0.870136, Time  0.239654
2021-09-16 06:49:43.113380 : Epoch  3, Batch   1821, Loss  0.885296, Average Loss  0.870226, Time  0.240750
2021-09-16 06:49:45.711606 : Epoch  3, Batch   1822, Loss  0.867763, Average Loss  0.870247, Time  0.239804
2021-09-16 06:49:48.309926 : Epoch  3, Batch   1823, Loss  0.866641, Average Loss  0.870134, Time  0.240695
2021-09-16 06:49:50.907430 : Epoch  3, Batch   1824, Loss  0.896437, Average Loss  0.870254, Time  0.240655
2021-09-16 06:49:53.507086 : Epoch  3, Batch   1825, Loss  0.867504, Average Loss  0.870242, Time  0.241078
2021-09-16 06:49:56.104274 : Epoch  3, Batch   1826, Loss  0.868423, Average Loss  0.870118, Time  0.240145
2021-09-16 06:49:58.709094 : Epoch  3, Batch   1827, Loss  0.882579, Average Loss  0.870213, Time  0.241260
2021-09-16 06:50:01.322238 : Epoch  3, Batch   1828, Loss  0.871752, Average Loss  0.870203, Time  0.240513
2021-09-16 06:50:03.925824 : Epoch  3, Batch   1829, Loss  0.848182, Average Loss  0.870084, Time  0.241231
2021-09-16 06:50:06.535083 : Epoch  3, Batch   1830, Loss  0.869534, Average Loss  0.870078, Time  0.240227
2021-09-16 06:50:09.137458 : Epoch  3, Batch   1831, Loss  0.849028, Average Loss  0.870002, Time  0.240608
2021-09-16 06:50:11.757983 : Epoch  3, Batch   1832, Loss  0.891829, Average Loss  0.870129, Time  0.241333
2021-09-16 06:50:14.362915 : Epoch  3, Batch   1833, Loss  0.852490, Average Loss  0.870081, Time  0.240660
2021-09-16 06:50:16.966404 : Epoch  3, Batch   1834, Loss  0.874598, Average Loss  0.870135, Time  0.240586
2021-09-16 06:50:19.563819 : Epoch  3, Batch   1835, Loss  0.862919, Average Loss  0.870029, Time  0.240099
2021-09-16 06:50:22.163871 : Epoch  3, Batch   1836, Loss  0.865488, Average Loss  0.869986, Time  0.240435
2021-09-16 06:50:24.776009 : Epoch  3, Batch   1837, Loss  0.885178, Average Loss  0.869920, Time  0.240752
2021-09-16 06:50:27.371608 : Epoch  3, Batch   1838, Loss  0.888206, Average Loss  0.870027, Time  0.239853
2021-09-16 06:50:29.978566 : Epoch  3, Batch   1839, Loss  0.872089, Average Loss  0.869995, Time  0.240639
2021-09-16 06:50:32.594387 : Epoch  3, Batch   1840, Loss  0.872046, Average Loss  0.870088, Time  0.240327
2021-09-16 06:50:35.203810 : Epoch  3, Batch   1841, Loss  0.869121, Average Loss  0.870091, Time  0.240806
2021-09-16 06:50:37.810116 : Epoch  3, Batch   1842, Loss  0.856170, Average Loss  0.870010, Time  0.242191
2021-09-16 06:50:40.422890 : Epoch  3, Batch   1843, Loss  0.853948, Average Loss  0.870037, Time  0.243327
2021-09-16 06:50:43.029174 : Epoch  3, Batch   1844, Loss  0.842240, Average Loss  0.869946, Time  0.240877
2021-09-16 06:50:45.628186 : Epoch  3, Batch   1845, Loss  0.855123, Average Loss  0.869865, Time  0.240438
2021-09-16 06:50:48.224413 : Epoch  3, Batch   1846, Loss  0.882472, Average Loss  0.869876, Time  0.240360
2021-09-16 06:50:50.824108 : Epoch  3, Batch   1847, Loss  0.855424, Average Loss  0.869896, Time  0.239898
2021-09-16 06:50:53.428446 : Epoch  3, Batch   1848, Loss  0.857760, Average Loss  0.869845, Time  0.239938
2021-09-16 06:50:56.039959 : Epoch  3, Batch   1849, Loss  0.851756, Average Loss  0.869750, Time  0.240173
2021-09-16 06:50:58.655407 : Epoch  3, Batch   1850, Loss  0.863870, Average Loss  0.869726, Time  0.241211
2021-09-16 06:51:01.259199 : Epoch  3, Batch   1851, Loss  0.866441, Average Loss  0.869810, Time  0.240010
2021-09-16 06:51:03.878530 : Epoch  3, Batch   1852, Loss  0.868282, Average Loss  0.869716, Time  0.243461
2021-09-16 06:51:06.489155 : Epoch  3, Batch   1853, Loss  0.847046, Average Loss  0.869600, Time  0.240758
2021-09-16 06:51:09.107397 : Epoch  3, Batch   1854, Loss  0.870570, Average Loss  0.869622, Time  0.239953
2021-09-16 06:51:11.724828 : Epoch  3, Batch   1855, Loss  0.871384, Average Loss  0.869618, Time  0.240411
2021-09-16 06:51:14.330882 : Epoch  3, Batch   1856, Loss  0.865416, Average Loss  0.869488, Time  0.240281
2021-09-16 06:51:14.365975 : Saving Model after 3-th Epoch.
2021-09-16 06:51:14.994608 : Epoch Finished.
2021-09-16 06:51:23.914605 : Batch Shuffled
2021-09-16 06:51:26.533943 : Epoch  4, Batch      1, Loss  0.869297, Average Loss  0.869578, Time  0.271008
2021-09-16 06:51:29.122560 : Epoch  4, Batch      2, Loss  0.858166, Average Loss  0.869395, Time  0.246145
2021-09-16 06:51:31.705849 : Epoch  4, Batch      3, Loss  0.888288, Average Loss  0.869430, Time  0.240170
2021-09-16 06:51:34.302406 : Epoch  4, Batch      4, Loss  0.869733, Average Loss  0.869395, Time  0.239788
2021-09-16 06:51:36.894186 : Epoch  4, Batch      5, Loss  0.873635, Average Loss  0.869397, Time  0.239917
2021-09-16 06:51:39.471514 : Epoch  4, Batch      6, Loss  0.869233, Average Loss  0.869263, Time  0.240122
2021-09-16 06:51:42.061710 : Epoch  4, Batch      7, Loss  0.868446, Average Loss  0.869298, Time  0.240831
2021-09-16 06:51:44.656000 : Epoch  4, Batch      8, Loss  0.876031, Average Loss  0.869421, Time  0.240242
2021-09-16 06:51:47.237880 : Epoch  4, Batch      9, Loss  0.873215, Average Loss  0.869356, Time  0.239958
2021-09-16 06:51:49.837117 : Epoch  4, Batch     10, Loss  0.889190, Average Loss  0.869456, Time  0.239955
2021-09-16 06:51:52.433855 : Epoch  4, Batch     11, Loss  0.857024, Average Loss  0.869375, Time  0.240754
2021-09-16 06:51:55.034919 : Epoch  4, Batch     12, Loss  0.857970, Average Loss  0.869401, Time  0.240179
2021-09-16 06:51:57.618817 : Epoch  4, Batch     13, Loss  0.897793, Average Loss  0.869495, Time  0.240074
2021-09-16 06:52:00.218107 : Epoch  4, Batch     14, Loss  0.860210, Average Loss  0.869395, Time  0.242542
2021-09-16 06:52:02.817160 : Epoch  4, Batch     15, Loss  0.880206, Average Loss  0.869441, Time  0.239943
2021-09-16 06:52:05.430384 : Epoch  4, Batch     16, Loss  0.859342, Average Loss  0.869393, Time  0.240631
2021-09-16 06:52:08.037152 : Epoch  4, Batch     17, Loss  0.854396, Average Loss  0.869372, Time  0.240370
2021-09-16 06:52:10.636377 : Epoch  4, Batch     18, Loss  0.877466, Average Loss  0.869254, Time  0.241071
2021-09-16 06:52:13.235196 : Epoch  4, Batch     19, Loss  0.865743, Average Loss  0.869305, Time  0.240296
2021-09-16 06:52:15.837033 : Epoch  4, Batch     20, Loss  0.856574, Average Loss  0.869098, Time  0.240677
2021-09-16 06:52:18.435229 : Epoch  4, Batch     21, Loss  0.873298, Average Loss  0.869156, Time  0.240714
2021-09-16 06:52:21.026295 : Epoch  4, Batch     22, Loss  0.873408, Average Loss  0.869247, Time  0.240711
2021-09-16 06:52:23.625382 : Epoch  4, Batch     23, Loss  0.851337, Average Loss  0.869239, Time  0.239880
2021-09-16 06:52:26.225974 : Epoch  4, Batch     24, Loss  0.884281, Average Loss  0.869223, Time  0.240852
2021-09-16 06:52:28.816096 : Epoch  4, Batch     25, Loss  0.848070, Average Loss  0.869156, Time  0.241821
2021-09-16 06:52:31.419399 : Epoch  4, Batch     26, Loss  0.864050, Average Loss  0.869088, Time  0.239787
2021-09-16 06:52:34.015050 : Epoch  4, Batch     27, Loss  0.872736, Average Loss  0.869062, Time  0.240118
2021-09-16 06:52:36.613907 : Epoch  4, Batch     28, Loss  0.859936, Average Loss  0.869026, Time  0.240479
2021-09-16 06:52:39.207171 : Epoch  4, Batch     29, Loss  0.864255, Average Loss  0.869016, Time  0.240334
2021-09-16 06:52:41.797838 : Epoch  4, Batch     30, Loss  0.874149, Average Loss  0.868978, Time  0.240047
2021-09-16 06:52:44.383108 : Epoch  4, Batch     31, Loss  0.869917, Average Loss  0.868992, Time  0.239959
2021-09-16 06:52:46.973518 : Epoch  4, Batch     32, Loss  0.862215, Average Loss  0.869007, Time  0.239770
2021-09-16 06:53:45.177347 : CheckPoint: Validation Loss  0.00029504, Best Loss  0.00029295
2021-09-16 06:53:48.218102 : Epoch  6, Batch    321, Loss  0.859785, Average Loss  0.870522, Time  0.267777
2021-09-16 06:53:51.218336 : Epoch  6, Batch    322, Loss  0.863897, Average Loss  0.870496, Time  0.265506
2021-09-16 06:53:54.224745 : Epoch  6, Batch    323, Loss  0.850071, Average Loss  0.870414, Time  0.267455
2021-09-16 06:53:57.242310 : Epoch  6, Batch    324, Loss  0.856478, Average Loss  0.870257, Time  0.266375
2021-09-16 06:54:00.239059 : Epoch  6, Batch    325, Loss  0.863593, Average Loss  0.870191, Time  0.273946
2021-09-16 06:54:03.249005 : Epoch  6, Batch    326, Loss  0.875014, Average Loss  0.870246, Time  0.266071
2021-09-16 06:54:06.249219 : Epoch  6, Batch    327, Loss  0.871347, Average Loss  0.870265, Time  0.267417
2021-09-16 06:54:09.236431 : Epoch  6, Batch    328, Loss  0.857883, Average Loss  0.870197, Time  0.265520
2021-09-16 06:54:12.225218 : Epoch  6, Batch    329, Loss  0.865352, Average Loss  0.870111, Time  0.265346
2021-09-16 06:54:15.204241 : Epoch  6, Batch    330, Loss  0.879166, Average Loss  0.870175, Time  0.265183
2021-09-16 06:54:18.195711 : Epoch  6, Batch    331, Loss  0.862226, Average Loss  0.870158, Time  0.265593
2021-09-16 06:54:21.196225 : Epoch  6, Batch    332, Loss  0.878386, Average Loss  0.870239, Time  0.265433
2021-09-16 06:54:24.173556 : Epoch  6, Batch    333, Loss  0.901110, Average Loss  0.870470, Time  0.265409
2021-09-16 06:54:27.247884 : Epoch  6, Batch    334, Loss  0.865441, Average Loss  0.870334, Time  0.265208
2021-09-16 06:54:30.257686 : Epoch  6, Batch    335, Loss  0.894906, Average Loss  0.870567, Time  0.266818
2021-09-16 06:54:33.247170 : Epoch  6, Batch    336, Loss  0.877084, Average Loss  0.870607, Time  0.265636
2021-09-16 06:54:36.238484 : Epoch  6, Batch    337, Loss  0.875144, Average Loss  0.870521, Time  0.265217
2021-09-16 06:54:39.231794 : Epoch  6, Batch    338, Loss  0.886219, Average Loss  0.870644, Time  0.265323
2021-09-16 06:54:42.172496 : Epoch  6, Batch    339, Loss  0.862270, Average Loss  0.870671, Time  0.265086
2021-09-16 06:54:45.170336 : Epoch  6, Batch    340, Loss  0.861557, Average Loss  0.870720, Time  0.276419
2021-09-16 06:54:48.196263 : Epoch  6, Batch    341, Loss  0.862119, Average Loss  0.870575, Time  0.267630
2021-09-16 06:54:51.179862 : Epoch  6, Batch    342, Loss  0.888117, Average Loss  0.870568, Time  0.265133
2021-09-16 06:54:54.146889 : Epoch  6, Batch    343, Loss  0.861954, Average Loss  0.870587, Time  0.266972
2021-09-16 06:54:57.143574 : Epoch  6, Batch    344, Loss  0.866208, Average Loss  0.870528, Time  0.266285
2021-09-16 06:55:00.129048 : Epoch  6, Batch    345, Loss  0.875735, Average Loss  0.870373, Time  0.266813
2021-09-16 06:55:03.152522 : Epoch  6, Batch    346, Loss  0.841272, Average Loss  0.870313, Time  0.266023
2021-09-16 06:55:06.140328 : Epoch  6, Batch    347, Loss  0.871226, Average Loss  0.870297, Time  0.265652
2021-09-16 06:55:09.144838 : Epoch  6, Batch    348, Loss  0.871610, Average Loss  0.870334, Time  0.265237
2021-09-16 06:55:12.128372 : Epoch  6, Batch    349, Loss  0.865237, Average Loss  0.870301, Time  0.265543
2021-09-16 06:55:15.153944 : Epoch  6, Batch    350, Loss  0.883639, Average Loss  0.870433, Time  0.265267
2021-09-16 06:55:18.143140 : Epoch  6, Batch    351, Loss  0.870134, Average Loss  0.870421, Time  0.265244
2021-09-16 06:55:21.118926 : Epoch  6, Batch    352, Loss  0.867242, Average Loss  0.870355, Time  0.265939
2021-09-16 06:55:24.105047 : Epoch  6, Batch    353, Loss  0.880994, Average Loss  0.870262, Time  0.265919
2021-09-16 06:55:27.072260 : Epoch  6, Batch    354, Loss  0.862083, Average Loss  0.870224, Time  0.265175
2021-09-16 06:55:30.091593 : Epoch  6, Batch    355, Loss  0.865499, Average Loss  0.870315, Time  0.278000
2021-09-16 06:55:33.095800 : Epoch  6, Batch    356, Loss  0.854692, Average Loss  0.870250, Time  0.264968
2021-09-16 06:55:36.068775 : Epoch  6, Batch    357, Loss  0.856433, Average Loss  0.870217, Time  0.266196
2021-09-16 06:55:39.061613 : Epoch  6, Batch    358, Loss  0.874174, Average Loss  0.870264, Time  0.265620
2021-09-16 06:55:42.034815 : Epoch  6, Batch    359, Loss  0.857105, Average Loss  0.870170, Time  0.265818
2021-09-16 06:55:45.018106 : Epoch  6, Batch    360, Loss  0.851681, Average Loss  0.869959, Time  0.265658
2021-09-16 06:55:48.029361 : Epoch  6, Batch    361, Loss  0.878548, Average Loss  0.870094, Time  0.265211
2021-09-16 06:55:51.036288 : Epoch  6, Batch    362, Loss  0.865417, Average Loss  0.870027, Time  0.267079
2021-09-16 06:55:54.034708 : Epoch  6, Batch    363, Loss  0.898315, Average Loss  0.870156, Time  0.266076
2021-09-16 06:55:57.015487 : Epoch  6, Batch    364, Loss  0.850939, Average Loss  0.870151, Time  0.265926
2021-09-16 06:56:00.013282 : Epoch  6, Batch    365, Loss  0.883994, Average Loss  0.870251, Time  0.265488
2021-09-16 06:56:03.024775 : Epoch  6, Batch    366, Loss  0.862773, Average Loss  0.870262, Time  0.267377
2021-09-16 06:56:06.023913 : Epoch  6, Batch    367, Loss  0.855516, Average Loss  0.870197, Time  0.265982
2021-09-16 06:56:09.006798 : Epoch  6, Batch    368, Loss  0.846647, Average Loss  0.870019, Time  0.266489
2021-09-16 06:56:11.984335 : Epoch  6, Batch    369, Loss  0.866554, Average Loss  0.870006, Time  0.265282
2021-09-16 06:56:14.979775 : Epoch  6, Batch    370, Loss  0.871641, Average Loss  0.869952, Time  0.266099
2021-09-16 06:56:17.968316 : Epoch  6, Batch    371, Loss  0.878896, Average Loss  0.869944, Time  0.271576
2021-09-16 06:56:20.948251 : Epoch  6, Batch    372, Loss  0.872677, Average Loss  0.870016, Time  0.266518
2021-09-16 06:56:23.961450 : Epoch  6, Batch    373, Loss  0.873571, Average Loss  0.870046, Time  0.265538
2021-09-16 06:56:26.979118 : Epoch  6, Batch    374, Loss  0.886614, Average Loss  0.870124, Time  0.266044
2021-09-16 06:56:29.994756 : Epoch  6, Batch    375, Loss  0.893097, Average Loss  0.870279, Time  0.265879
2021-09-16 06:56:32.994492 : Epoch  6, Batch    376, Loss  0.869206, Average Loss  0.870295, Time  0.267266
2021-09-16 06:56:36.015012 : Epoch  6, Batch    377, Loss  0.849331, Average Loss  0.870193, Time  0.264745
2021-09-16 06:56:38.983443 : Epoch  6, Batch    378, Loss  0.888504, Average Loss  0.870361, Time  0.264786
2021-09-16 06:56:41.995443 : Epoch  6, Batch    379, Loss  0.872594, Average Loss  0.870386, Time  0.267060
2021-09-16 06:56:45.013260 : Epoch  6, Batch    380, Loss  0.860502, Average Loss  0.870322, Time  0.265543
2021-09-16 06:56:48.008027 : Epoch  6, Batch    381, Loss  0.865902, Average Loss  0.870259, Time  0.266529
2021-09-16 06:56:49.824423 : CheckPoint: Validation Loss  0.00029606, Best Loss  0.00029226
2021-09-16 06:56:51.023566 : Epoch  6, Batch    382, Loss  0.898245, Average Loss  0.870437, Time  0.266935
2021-09-16 06:56:52.425907 : Epoch  4, Batch     33, Loss  0.864259, Average Loss  0.868844, Time  0.242167
2021-09-16 06:56:54.037432 : Epoch  6, Batch    383, Loss  0.848432, Average Loss  0.870354, Time  0.266248
2021-09-16 06:56:55.012451 : Epoch  4, Batch     34, Loss  0.874192, Average Loss  0.868880, Time  0.239744
2021-09-16 06:56:57.016080 : Epoch  6, Batch    384, Loss  0.863510, Average Loss  0.870342, Time  0.266364
2021-09-16 06:56:57.615939 : Epoch  4, Batch     35, Loss  0.857248, Average Loss  0.868704, Time  0.239896
2021-09-16 06:57:00.029368 : Epoch  6, Batch    385, Loss  0.852127, Average Loss  0.870178, Time  0.263791
2021-09-16 06:57:00.208644 : Epoch  4, Batch     36, Loss  0.880699, Average Loss  0.868942, Time  0.239768
2021-09-16 06:57:02.795855 : Epoch  4, Batch     37, Loss  0.882180, Average Loss  0.869028, Time  0.248061
2021-09-16 06:57:03.017209 : Epoch  6, Batch    386, Loss  0.868825, Average Loss  0.870227, Time  0.277102
2021-09-16 06:57:05.390044 : Epoch  4, Batch     38, Loss  0.861417, Average Loss  0.868949, Time  0.240597
2021-09-16 06:57:06.013182 : Epoch  6, Batch    387, Loss  0.858317, Average Loss  0.870112, Time  0.265606
2021-09-16 06:57:07.996031 : Epoch  4, Batch     39, Loss  0.857431, Average Loss  0.868890, Time  0.240579
2021-09-16 06:57:09.000301 : Epoch  6, Batch    388, Loss  0.879481, Average Loss  0.870204, Time  0.266519
2021-09-16 06:57:10.582088 : Epoch  4, Batch     40, Loss  0.877679, Average Loss  0.868943, Time  0.240902
2021-09-16 06:57:11.980544 : Epoch  6, Batch    389, Loss  0.880813, Average Loss  0.870248, Time  0.265799
2021-09-16 06:57:13.172420 : Epoch  4, Batch     41, Loss  0.874892, Average Loss  0.868953, Time  0.240374
2021-09-16 06:57:14.959672 : Epoch  6, Batch    390, Loss  0.851466, Average Loss  0.870103, Time  0.265398
2021-09-16 06:57:15.765247 : Epoch  4, Batch     42, Loss  0.874060, Average Loss  0.869089, Time  0.240286
2021-09-16 06:57:17.927143 : Epoch  6, Batch    391, Loss  0.885317, Average Loss  0.870263, Time  0.266231
2021-09-16 06:57:18.348939 : Epoch  4, Batch     43, Loss  0.872349, Average Loss  0.869130, Time  0.241674
2021-09-16 06:57:20.913179 : Epoch  4, Batch     44, Loss  0.861633, Average Loss  0.869078, Time  0.240038
2021-09-16 06:57:20.919020 : Epoch  6, Batch    392, Loss  0.879697, Average Loss  0.870321, Time  0.266469
2021-09-16 06:57:23.499749 : Epoch  4, Batch     45, Loss  0.886635, Average Loss  0.869171, Time  0.242030
2021-09-16 06:57:23.951658 : Epoch  6, Batch    393, Loss  0.862191, Average Loss  0.870365, Time  0.265332
2021-09-16 06:57:26.088866 : Epoch  4, Batch     46, Loss  0.856380, Average Loss  0.869121, Time  0.239848
2021-09-16 06:57:26.924408 : Epoch  6, Batch    394, Loss  0.883757, Average Loss  0.870382, Time  0.266096
2021-09-16 06:57:28.671177 : Epoch  4, Batch     47, Loss  0.854090, Average Loss  0.869129, Time  0.241148
2021-09-16 06:57:29.929456 : Epoch  6, Batch    395, Loss  0.895313, Average Loss  0.870513, Time  0.267259
2021-09-16 06:57:31.266730 : Epoch  4, Batch     48, Loss  0.882533, Average Loss  0.869108, Time  0.241851
2021-09-16 06:57:32.916735 : Epoch  6, Batch    396, Loss  0.848633, Average Loss  0.870454, Time  0.265837
2021-09-16 06:57:33.857041 : Epoch  4, Batch     49, Loss  0.883284, Average Loss  0.869218, Time  0.239818
2021-09-16 06:57:35.941150 : Epoch  6, Batch    397, Loss  0.874615, Average Loss  0.870429, Time  0.266150
2021-09-16 06:57:36.449694 : Epoch  4, Batch     50, Loss  0.856298, Average Loss  0.869138, Time  0.240911
2021-09-16 06:57:38.960318 : Epoch  6, Batch    398, Loss  0.871225, Average Loss  0.870429, Time  0.265710
2021-09-16 06:57:39.030922 : Epoch  4, Batch     51, Loss  0.867134, Average Loss  0.869076, Time  0.240048
2021-09-16 06:57:41.620871 : Epoch  4, Batch     52, Loss  0.875610, Average Loss  0.869091, Time  0.240637
2021-09-16 06:57:41.939382 : Epoch  6, Batch    399, Loss  0.865861, Average Loss  0.870322, Time  0.265996
2021-09-16 06:57:44.214218 : Epoch  4, Batch     53, Loss  0.870876, Average Loss  0.869128, Time  0.240750
2021-09-16 06:57:44.912823 : Epoch  6, Batch    400, Loss  0.854035, Average Loss  0.870314, Time  0.265537
2021-09-16 06:57:46.801128 : Epoch  4, Batch     54, Loss  0.870874, Average Loss  0.869079, Time  0.240273
2021-09-16 06:57:47.875635 : Epoch  6, Batch    401, Loss  0.863841, Average Loss  0.870297, Time  0.266776
2021-09-16 06:57:49.392346 : Epoch  4, Batch     55, Loss  0.847803, Average Loss  0.868946, Time  0.239866
2021-09-16 06:57:50.845643 : Epoch  6, Batch    402, Loss  0.850515, Average Loss  0.870118, Time  0.277476
2021-09-16 06:57:51.984990 : Epoch  4, Batch     56, Loss  0.884740, Average Loss  0.868977, Time  0.240013
2021-09-16 06:57:53.861840 : Epoch  6, Batch    403, Loss  0.886226, Average Loss  0.870217, Time  0.267223
2021-09-16 06:57:54.579983 : Epoch  4, Batch     57, Loss  0.858237, Average Loss  0.868877, Time  0.240428
2021-09-16 06:57:56.868959 : Epoch  6, Batch    404, Loss  0.875390, Average Loss  0.870201, Time  0.266776
2021-09-16 06:57:57.173862 : Epoch  4, Batch     58, Loss  0.878552, Average Loss  0.868911, Time  0.241349
2021-09-16 06:57:59.754877 : Epoch  4, Batch     59, Loss  0.863783, Average Loss  0.868877, Time  0.240799
2021-09-16 06:57:59.846131 : Epoch  6, Batch    405, Loss  0.855747, Average Loss  0.870023, Time  0.264139
2021-09-16 06:58:02.333845 : Epoch  4, Batch     60, Loss  0.860305, Average Loss  0.868818, Time  0.240340
2021-09-16 06:58:02.798618 : Epoch  6, Batch    406, Loss  0.877133, Average Loss  0.870044, Time  0.265303
2021-09-16 06:58:04.920258 : Epoch  4, Batch     61, Loss  0.866160, Average Loss  0.868895, Time  0.239960
2021-09-16 06:58:05.763539 : Epoch  6, Batch    407, Loss  0.845056, Average Loss  0.869845, Time  0.265972
2021-09-16 06:58:07.514044 : Epoch  4, Batch     62, Loss  0.878314, Average Loss  0.869011, Time  0.240261
2021-09-16 06:58:08.771685 : Epoch  6, Batch    408, Loss  0.849385, Average Loss  0.869731, Time  0.265974
2021-09-16 06:58:10.108046 : Epoch  4, Batch     63, Loss  0.856895, Average Loss  0.868896, Time  0.240583
2021-09-16 06:58:11.769487 : Epoch  6, Batch    409, Loss  0.867315, Average Loss  0.869736, Time  0.266545
2021-09-16 06:58:12.701904 : Epoch  4, Batch     64, Loss  0.877809, Average Loss  0.868917, Time  0.240057
2021-09-16 06:58:14.743087 : Epoch  6, Batch    410, Loss  0.852607, Average Loss  0.869735, Time  0.266946
2021-09-16 06:58:15.293252 : Epoch  4, Batch     65, Loss  0.861596, Average Loss  0.868750, Time  0.240447
2021-09-16 06:58:17.729961 : Epoch  6, Batch    411, Loss  0.877151, Average Loss  0.869917, Time  0.265927
2021-09-16 06:58:17.878550 : Epoch  4, Batch     66, Loss  0.870503, Average Loss  0.868798, Time  0.239622
2021-09-16 06:58:20.453435 : Epoch  4, Batch     67, Loss  0.887752, Average Loss  0.868839, Time  0.239762
2021-09-16 06:58:20.748432 : Epoch  6, Batch    412, Loss  0.860853, Average Loss  0.870016, Time  0.266134
2021-09-16 06:58:23.040898 : Epoch  4, Batch     68, Loss  0.864255, Average Loss  0.868712, Time  0.240148
2021-09-16 06:58:23.740208 : Epoch  6, Batch    413, Loss  0.882354, Average Loss  0.870029, Time  0.266419
2021-09-16 06:58:25.639014 : Epoch  4, Batch     69, Loss  0.861871, Average Loss  0.868661, Time  0.240770
2021-09-16 06:58:26.710707 : Epoch  6, Batch    414, Loss  0.858383, Average Loss  0.869856, Time  0.264998
2021-09-16 06:58:28.236351 : Epoch  4, Batch     70, Loss  0.861402, Average Loss  0.868602, Time  0.240888
2021-09-16 06:58:29.703655 : Epoch  6, Batch    415, Loss  0.869121, Average Loss  0.869893, Time  0.265444
2021-09-16 06:58:30.818093 : Epoch  4, Batch     71, Loss  0.872311, Average Loss  0.868698, Time  0.240071
2021-09-16 06:58:32.684829 : Epoch  6, Batch    416, Loss  0.854004, Average Loss  0.869821, Time  0.265244
2021-09-16 06:58:33.419052 : Epoch  4, Batch     72, Loss  0.845645, Average Loss  0.868606, Time  0.239995
2021-09-16 06:58:35.672991 : Epoch  6, Batch    417, Loss  0.851384, Average Loss  0.869792, Time  0.273175
2021-09-16 06:58:36.010793 : Epoch  4, Batch     73, Loss  0.852961, Average Loss  0.868588, Time  0.240796
2021-09-16 06:58:38.587101 : Epoch  4, Batch     74, Loss  0.860438, Average Loss  0.868523, Time  0.242765
2021-09-16 06:58:38.652144 : Epoch  6, Batch    418, Loss  0.865280, Average Loss  0.869692, Time  0.265224
2021-09-16 06:58:41.183035 : Epoch  4, Batch     75, Loss  0.854776, Average Loss  0.868435, Time  0.240526
2021-09-16 06:58:41.647986 : Epoch  6, Batch    419, Loss  0.868771, Average Loss  0.869701, Time  0.266476
2021-09-16 06:58:43.794050 : Epoch  4, Batch     76, Loss  0.878426, Average Loss  0.868526, Time  0.240551
2021-09-16 06:58:44.625028 : Epoch  6, Batch    420, Loss  0.871656, Average Loss  0.869755, Time  0.265880
2021-09-16 06:58:46.384823 : Epoch  4, Batch     77, Loss  0.896939, Average Loss  0.868677, Time  0.240310
2021-09-16 06:58:48.977863 : Epoch  4, Batch     78, Loss  0.870483, Average Loss  0.868848, Time  0.240349
2021-09-16 06:58:51.576034 : Epoch  4, Batch     79, Loss  0.839355, Average Loss  0.868725, Time  0.240785
2021-09-16 06:58:54.174928 : Epoch  4, Batch     80, Loss  0.893221, Average Loss  0.868858, Time  0.240735
2021-09-16 06:58:56.767142 : Epoch  4, Batch     81, Loss  0.885803, Average Loss  0.868920, Time  0.240246
2021-09-16 06:58:59.350807 : Epoch  4, Batch     82, Loss  0.872513, Average Loss  0.868843, Time  0.240190
2021-09-16 06:59:01.942865 : Epoch  4, Batch     83, Loss  0.871233, Average Loss  0.868921, Time  0.241127
2021-09-16 06:59:04.539381 : Epoch  4, Batch     84, Loss  0.853785, Average Loss  0.868784, Time  0.239733
2021-09-16 06:59:07.124664 : Epoch  4, Batch     85, Loss  0.894468, Average Loss  0.868963, Time  0.239885
2021-09-16 06:59:09.701233 : Epoch  4, Batch     86, Loss  0.857625, Average Loss  0.868901, Time  0.240132
2021-09-16 06:59:12.285871 : Epoch  4, Batch     87, Loss  0.870287, Average Loss  0.868924, Time  0.240225
2021-09-16 06:59:14.873407 : Epoch  4, Batch     88, Loss  0.848589, Average Loss  0.868791, Time  0.240019
2021-09-16 06:59:17.459010 : Epoch  4, Batch     89, Loss  0.861630, Average Loss  0.868641, Time  0.239966
2021-09-16 06:59:20.042865 : Epoch  4, Batch     90, Loss  0.885335, Average Loss  0.868739, Time  0.240048
2021-09-16 06:59:22.632433 : Epoch  4, Batch     91, Loss  0.858439, Average Loss  0.868690, Time  0.240508
2021-09-16 06:59:25.211675 : Epoch  4, Batch     92, Loss  0.867623, Average Loss  0.868544, Time  0.240105
2021-09-16 06:59:27.796337 : Epoch  4, Batch     93, Loss  0.887941, Average Loss  0.868559, Time  0.239733
2021-09-16 06:59:30.380278 : Epoch  4, Batch     94, Loss  0.864657, Average Loss  0.868500, Time  0.239924
2021-09-16 06:59:32.972859 : Epoch  4, Batch     95, Loss  0.865287, Average Loss  0.868482, Time  0.240136
2021-09-16 06:59:35.568841 : Epoch  4, Batch     96, Loss  0.843439, Average Loss  0.868320, Time  0.240588
2021-09-16 06:59:38.168787 : Epoch  4, Batch     97, Loss  0.866130, Average Loss  0.868364, Time  0.241259
2021-09-16 06:59:40.767336 : Epoch  4, Batch     98, Loss  0.852435, Average Loss  0.868305, Time  0.240086
2021-09-16 06:59:43.376541 : Epoch  4, Batch     99, Loss  0.858556, Average Loss  0.868293, Time  0.242321
2021-09-16 06:59:45.981791 : Epoch  4, Batch    100, Loss  0.876113, Average Loss  0.868229, Time  0.243381
2021-09-16 06:59:48.570221 : Epoch  4, Batch    101, Loss  0.864902, Average Loss  0.868205, Time  0.240197
2021-09-16 06:59:51.167896 : Epoch  4, Batch    102, Loss  0.873040, Average Loss  0.868227, Time  0.241881
2021-09-16 06:59:53.749378 : Epoch  4, Batch    103, Loss  0.875055, Average Loss  0.868229, Time  0.240720
2021-09-16 06:59:56.343974 : Epoch  4, Batch    104, Loss  0.882928, Average Loss  0.868330, Time  0.243078
2021-09-16 06:59:58.931147 : Epoch  4, Batch    105, Loss  0.859532, Average Loss  0.868296, Time  0.240629
2021-09-16 07:00:01.513704 : Epoch  4, Batch    106, Loss  0.856634, Average Loss  0.868193, Time  0.240226
2021-09-16 07:00:04.127150 : Epoch  4, Batch    107, Loss  0.876805, Average Loss  0.868230, Time  0.240741
2021-09-16 07:00:06.730966 : Epoch  4, Batch    108, Loss  0.853281, Average Loss  0.868180, Time  0.240203
2021-09-16 07:00:09.331881 : Epoch  4, Batch    109, Loss  0.858815, Average Loss  0.868111, Time  0.242968
2021-09-16 07:00:11.924899 : Epoch  4, Batch    110, Loss  0.864185, Average Loss  0.868176, Time  0.240355
2021-09-16 07:00:14.510125 : Epoch  4, Batch    111, Loss  0.873452, Average Loss  0.868196, Time  0.240214
2021-09-16 07:00:17.102566 : Epoch  4, Batch    112, Loss  0.878831, Average Loss  0.868179, Time  0.240196
2021-09-16 07:00:19.704468 : Epoch  4, Batch    113, Loss  0.876193, Average Loss  0.868196, Time  0.240806
2021-09-16 07:00:22.294823 : Epoch  4, Batch    114, Loss  0.855408, Average Loss  0.868026, Time  0.243690
2021-09-16 07:00:24.888417 : Epoch  4, Batch    115, Loss  0.906953, Average Loss  0.868279, Time  0.243201
2021-09-16 07:00:27.491441 : Epoch  4, Batch    116, Loss  0.848728, Average Loss  0.868253, Time  0.239818
2021-09-16 07:00:30.072674 : Epoch  4, Batch    117, Loss  0.872202, Average Loss  0.868307, Time  0.239400
2021-09-16 07:00:32.659327 : Epoch  4, Batch    118, Loss  0.870167, Average Loss  0.868275, Time  0.240196
2021-09-16 07:00:35.259114 : Epoch  4, Batch    119, Loss  0.854724, Average Loss  0.868187, Time  0.240254
2021-09-16 07:00:37.848249 : Epoch  4, Batch    120, Loss  0.900106, Average Loss  0.868365, Time  0.240860
2021-09-16 07:00:40.446035 : Epoch  4, Batch    121, Loss  0.846618, Average Loss  0.868347, Time  0.240097
2021-09-16 07:00:43.047917 : Epoch  4, Batch    122, Loss  0.863232, Average Loss  0.868335, Time  0.241172
2021-09-16 07:00:45.639546 : Epoch  4, Batch    123, Loss  0.877617, Average Loss  0.868372, Time  0.240661
2021-09-16 07:00:48.228999 : Epoch  4, Batch    124, Loss  0.848026, Average Loss  0.868243, Time  0.240374
2021-09-16 07:00:50.817314 : Epoch  4, Batch    125, Loss  0.861802, Average Loss  0.868277, Time  0.239975
2021-09-16 07:00:53.417830 : Epoch  4, Batch    126, Loss  0.874458, Average Loss  0.868266, Time  0.240303
2021-09-16 07:00:56.018037 : Epoch  4, Batch    127, Loss  0.848837, Average Loss  0.868140, Time  0.240860
2021-09-16 07:00:58.609711 : Epoch  4, Batch    128, Loss  0.839796, Average Loss  0.868015, Time  0.243274
2021-09-16 07:01:01.209937 : Epoch  4, Batch    129, Loss  0.874425, Average Loss  0.868117, Time  0.241069
2021-09-16 07:01:03.807826 : Epoch  4, Batch    130, Loss  0.882235, Average Loss  0.868259, Time  0.240127
2021-09-16 07:01:06.401828 : Epoch  4, Batch    131, Loss  0.856188, Average Loss  0.868196, Time  0.239795
2021-09-16 07:01:08.992865 : Epoch  4, Batch    132, Loss  0.883119, Average Loss  0.868223, Time  0.240718
2021-09-16 07:03:26.019362 : CheckPoint: Validation Loss  0.00030032, Best Loss  0.00029295
2021-09-16 07:03:29.012747 : Epoch  6, Batch    421, Loss  0.863833, Average Loss  0.869765, Time  0.267883
2021-09-16 07:03:31.993415 : Epoch  6, Batch    422, Loss  0.856257, Average Loss  0.869703, Time  0.265785
2021-09-16 07:03:34.985740 : Epoch  6, Batch    423, Loss  0.877503, Average Loss  0.869705, Time  0.266161
2021-09-16 07:03:37.971669 : Epoch  6, Batch    424, Loss  0.877303, Average Loss  0.869725, Time  0.266047
2021-09-16 07:03:40.945634 : Epoch  6, Batch    425, Loss  0.868421, Average Loss  0.869739, Time  0.265301
2021-09-16 07:03:43.925635 : Epoch  6, Batch    426, Loss  0.865973, Average Loss  0.869732, Time  0.264877
2021-09-16 07:03:46.929457 : Epoch  6, Batch    427, Loss  0.857916, Average Loss  0.869739, Time  0.265450
2021-09-16 07:03:49.922915 : Epoch  6, Batch    428, Loss  0.875427, Average Loss  0.869744, Time  0.265350
2021-09-16 07:03:52.931280 : Epoch  6, Batch    429, Loss  0.847717, Average Loss  0.869648, Time  0.278733
2021-09-16 07:03:55.919323 : Epoch  6, Batch    430, Loss  0.877183, Average Loss  0.869769, Time  0.266016
2021-09-16 07:03:58.909141 : Epoch  6, Batch    431, Loss  0.864204, Average Loss  0.869792, Time  0.266399
2021-09-16 07:04:01.904679 : Epoch  6, Batch    432, Loss  0.862237, Average Loss  0.869651, Time  0.265592
2021-09-16 07:04:04.908752 : Epoch  6, Batch    433, Loss  0.860843, Average Loss  0.869620, Time  0.264791
2021-09-16 07:04:07.888684 : Epoch  6, Batch    434, Loss  0.850049, Average Loss  0.869536, Time  0.265080
2021-09-16 07:04:10.865702 : Epoch  6, Batch    435, Loss  0.849989, Average Loss  0.869438, Time  0.266459
2021-09-16 07:04:13.875053 : Epoch  6, Batch    436, Loss  0.865216, Average Loss  0.869465, Time  0.266017
2021-09-16 07:04:16.823457 : Epoch  6, Batch    437, Loss  0.883710, Average Loss  0.869463, Time  0.265709
2021-09-16 07:04:19.836834 : Epoch  6, Batch    438, Loss  0.861078, Average Loss  0.869512, Time  0.266263
2021-09-16 07:04:22.855186 : Epoch  6, Batch    439, Loss  0.860936, Average Loss  0.869420, Time  0.266069
2021-09-16 07:04:25.834479 : Epoch  6, Batch    440, Loss  0.873635, Average Loss  0.869427, Time  0.266855
2021-09-16 07:04:28.825988 : Epoch  6, Batch    441, Loss  0.867723, Average Loss  0.869513, Time  0.269104
2021-09-16 07:04:31.829980 : Epoch  6, Batch    442, Loss  0.872261, Average Loss  0.869610, Time  0.266004
2021-09-16 07:04:34.791939 : Epoch  6, Batch    443, Loss  0.891719, Average Loss  0.869702, Time  0.265773
2021-09-16 07:04:37.781149 : Epoch  6, Batch    444, Loss  0.869420, Average Loss  0.869710, Time  0.276180
2021-09-16 07:04:40.773695 : Epoch  6, Batch    445, Loss  0.847539, Average Loss  0.869603, Time  0.266394
2021-09-16 07:04:43.768234 : Epoch  6, Batch    446, Loss  0.883478, Average Loss  0.869535, Time  0.266858
2021-09-16 07:04:46.747386 : Epoch  6, Batch    447, Loss  0.857621, Average Loss  0.869447, Time  0.265065
2021-09-16 07:04:49.725369 : Epoch  6, Batch    448, Loss  0.876377, Average Loss  0.869441, Time  0.265996
2021-09-16 07:04:52.730875 : Epoch  6, Batch    449, Loss  0.871011, Average Loss  0.869500, Time  0.265325
2021-09-16 07:04:55.706381 : Epoch  6, Batch    450, Loss  0.863451, Average Loss  0.869426, Time  0.265461
2021-09-16 07:04:58.692253 : Epoch  6, Batch    451, Loss  0.873735, Average Loss  0.869531, Time  0.265080
2021-09-16 07:05:01.672631 : Epoch  6, Batch    452, Loss  0.864686, Average Loss  0.869532, Time  0.267550
2021-09-16 07:05:04.740706 : Epoch  6, Batch    453, Loss  0.877317, Average Loss  0.869494, Time  0.265934
2021-09-16 07:05:07.718742 : Epoch  6, Batch    454, Loss  0.889089, Average Loss  0.869538, Time  0.265958
2021-09-16 07:05:10.737648 : Epoch  6, Batch    455, Loss  0.875056, Average Loss  0.869615, Time  0.266941
2021-09-16 07:05:12.131752 : CheckPoint: Validation Loss  0.00030629, Best Loss  0.00029226
2021-09-16 07:05:13.718055 : Epoch  6, Batch    456, Loss  0.875374, Average Loss  0.869585, Time  0.265867
2021-09-16 07:05:14.736948 : Epoch  4, Batch    133, Loss  0.865398, Average Loss  0.868203, Time  0.241051
2021-09-16 07:05:16.714220 : Epoch  6, Batch    457, Loss  0.864905, Average Loss  0.869541, Time  0.265691
2021-09-16 07:05:17.334090 : Epoch  4, Batch    134, Loss  0.894695, Average Loss  0.868313, Time  0.239989
2021-09-16 07:05:19.698400 : Epoch  6, Batch    458, Loss  0.869935, Average Loss  0.869500, Time  0.265347
2021-09-16 07:05:19.937877 : Epoch  4, Batch    135, Loss  0.866133, Average Loss  0.868408, Time  0.240354
2021-09-16 07:05:22.511397 : Epoch  4, Batch    136, Loss  0.867085, Average Loss  0.868423, Time  0.240331
2021-09-16 07:05:22.689675 : Epoch  6, Batch    459, Loss  0.872025, Average Loss  0.869579, Time  0.277599
2021-09-16 07:05:25.111789 : Epoch  4, Batch    137, Loss  0.861558, Average Loss  0.868551, Time  0.240404
2021-09-16 07:05:25.683267 : Epoch  6, Batch    460, Loss  0.878914, Average Loss  0.869614, Time  0.267298
2021-09-16 07:05:27.724035 : Epoch  4, Batch    138, Loss  0.862290, Average Loss  0.868547, Time  0.241464
2021-09-16 07:05:28.702960 : Epoch  6, Batch    461, Loss  0.867615, Average Loss  0.869506, Time  0.269289
2021-09-16 07:05:30.311801 : Epoch  4, Batch    139, Loss  0.865117, Average Loss  0.868428, Time  0.239869
2021-09-16 07:05:31.728317 : Epoch  6, Batch    462, Loss  0.858321, Average Loss  0.869349, Time  0.267195
2021-09-16 07:05:32.907408 : Epoch  4, Batch    140, Loss  0.865169, Average Loss  0.868334, Time  0.240411
2021-09-16 07:05:34.716084 : Epoch  6, Batch    463, Loss  0.876470, Average Loss  0.869452, Time  0.265196
2021-09-16 07:05:35.488791 : Epoch  4, Batch    141, Loss  0.847909, Average Loss  0.868263, Time  0.240816
2021-09-16 07:05:37.687545 : Epoch  6, Batch    464, Loss  0.868906, Average Loss  0.869349, Time  0.269653
2021-09-16 07:05:38.071370 : Epoch  4, Batch    142, Loss  0.861007, Average Loss  0.868180, Time  0.240148
2021-09-16 07:05:40.656839 : Epoch  4, Batch    143, Loss  0.892561, Average Loss  0.868244, Time  0.240585
2021-09-16 07:05:40.710927 : Epoch  6, Batch    465, Loss  0.862050, Average Loss  0.869281, Time  0.267261
2021-09-16 07:05:43.242822 : Epoch  4, Batch    144, Loss  0.871432, Average Loss  0.868213, Time  0.240049
2021-09-16 07:05:43.704539 : Epoch  6, Batch    466, Loss  0.882269, Average Loss  0.869279, Time  0.266611
2021-09-16 07:05:45.852499 : Epoch  4, Batch    145, Loss  0.850528, Average Loss  0.868142, Time  0.239896
2021-09-16 07:05:46.708699 : Epoch  6, Batch    467, Loss  0.862352, Average Loss  0.869208, Time  0.266289
2021-09-16 07:05:48.443023 : Epoch  4, Batch    146, Loss  0.884587, Average Loss  0.868221, Time  0.242101
2021-09-16 07:05:49.729961 : Epoch  6, Batch    468, Loss  0.856702, Average Loss  0.869098, Time  0.265298
2021-09-16 07:05:51.036353 : Epoch  4, Batch    147, Loss  0.857029, Average Loss  0.868106, Time  0.240845
2021-09-16 07:05:52.663066 : Epoch  6, Batch    469, Loss  0.866719, Average Loss  0.869109, Time  0.264603
2021-09-16 07:05:53.621000 : Epoch  4, Batch    148, Loss  0.896939, Average Loss  0.868196, Time  0.240281
2021-09-16 07:05:55.646470 : Epoch  6, Batch    470, Loss  0.862025, Average Loss  0.869028, Time  0.266174
2021-09-16 07:05:56.306794 : Epoch  4, Batch    149, Loss  0.861710, Average Loss  0.868135, Time  0.239846
2021-09-16 07:05:58.637061 : Epoch  6, Batch    471, Loss  0.844236, Average Loss  0.868813, Time  0.266963
2021-09-16 07:05:58.889444 : Epoch  4, Batch    150, Loss  0.880212, Average Loss  0.868100, Time  0.239834
2021-09-16 07:06:01.489300 : Epoch  4, Batch    151, Loss  0.859415, Average Loss  0.868141, Time  0.240099
2021-09-16 07:06:01.619953 : Epoch  6, Batch    472, Loss  0.895848, Average Loss  0.868916, Time  0.265780
2021-09-16 07:06:04.090888 : Epoch  4, Batch    152, Loss  0.878132, Average Loss  0.868287, Time  0.240928
2021-09-16 07:06:04.587276 : Epoch  6, Batch    473, Loss  0.881104, Average Loss  0.868924, Time  0.265517
2021-09-16 07:06:06.671348 : Epoch  4, Batch    153, Loss  0.875329, Average Loss  0.868388, Time  0.241301
2021-09-16 07:06:07.580592 : Epoch  6, Batch    474, Loss  0.860579, Average Loss  0.868833, Time  0.271584
2021-09-16 07:06:09.263717 : Epoch  4, Batch    154, Loss  0.858288, Average Loss  0.868312, Time  0.240202
2021-09-16 07:06:10.549615 : Epoch  6, Batch    475, Loss  0.891926, Average Loss  0.868881, Time  0.265614
2021-09-16 07:06:11.853950 : Epoch  4, Batch    155, Loss  0.876635, Average Loss  0.868408, Time  0.243257
2021-09-16 07:06:13.537004 : Epoch  6, Batch    476, Loss  0.855748, Average Loss  0.868871, Time  0.265069
2021-09-16 07:06:14.453928 : Epoch  4, Batch    156, Loss  0.880657, Average Loss  0.868427, Time  0.242274
2021-09-16 07:06:16.544813 : Epoch  6, Batch    477, Loss  0.862857, Average Loss  0.868794, Time  0.265570
2021-09-16 07:06:17.037548 : Epoch  4, Batch    157, Loss  0.872860, Average Loss  0.868363, Time  0.240277
2021-09-16 07:06:19.556737 : Epoch  6, Batch    478, Loss  0.855022, Average Loss  0.868757, Time  0.265473
2021-09-16 07:06:19.626210 : Epoch  4, Batch    158, Loss  0.874682, Average Loss  0.868342, Time  0.242912
2021-09-16 07:06:22.206449 : Epoch  4, Batch    159, Loss  0.878721, Average Loss  0.868510, Time  0.241104
2021-09-16 07:06:22.565024 : Epoch  6, Batch    479, Loss  0.863903, Average Loss  0.868679, Time  0.266789
2021-09-16 07:06:24.786387 : Epoch  4, Batch    160, Loss  0.881074, Average Loss  0.868464, Time  0.240642
2021-09-16 07:06:25.549079 : Epoch  6, Batch    480, Loss  0.861734, Average Loss  0.868618, Time  0.265232
2021-09-16 07:06:27.379732 : Epoch  4, Batch    161, Loss  0.861220, Average Loss  0.868476, Time  0.241088
2021-09-16 07:06:28.520375 : Epoch  6, Batch    481, Loss  0.858647, Average Loss  0.868564, Time  0.266767
2021-09-16 07:06:29.970406 : Epoch  4, Batch    162, Loss  0.867107, Average Loss  0.868371, Time  0.241730
2021-09-16 07:06:31.538520 : Epoch  6, Batch    482, Loss  0.879675, Average Loss  0.868670, Time  0.265172
2021-09-16 07:06:32.561770 : Epoch  4, Batch    163, Loss  0.865741, Average Loss  0.868258, Time  0.242402
2021-09-16 07:06:34.530386 : Epoch  6, Batch    483, Loss  0.867958, Average Loss  0.868614, Time  0.268316
2021-09-16 07:06:35.157451 : Epoch  4, Batch    164, Loss  0.878850, Average Loss  0.868306, Time  0.239864
2021-09-16 07:06:37.535432 : Epoch  6, Batch    484, Loss  0.859002, Average Loss  0.868644, Time  0.266446
2021-09-16 07:06:37.751937 : Epoch  4, Batch    165, Loss  0.849986, Average Loss  0.868129, Time  0.242194
2021-09-16 07:06:40.330935 : Epoch  4, Batch    166, Loss  0.856305, Average Loss  0.868072, Time  0.240562
2021-09-16 07:06:40.536107 : Epoch  6, Batch    485, Loss  0.880193, Average Loss  0.868774, Time  0.266676
2021-09-16 07:06:42.916102 : Epoch  4, Batch    167, Loss  0.872228, Average Loss  0.868100, Time  0.241544
2021-09-16 07:06:43.492453 : Epoch  6, Batch    486, Loss  0.882187, Average Loss  0.868824, Time  0.265369
2021-09-16 07:06:45.494406 : Epoch  4, Batch    168, Loss  0.852178, Average Loss  0.867879, Time  0.239929
2021-09-16 07:06:46.487117 : Epoch  6, Batch    487, Loss  0.874845, Average Loss  0.868817, Time  0.265737
2021-09-16 07:06:48.091426 : Epoch  4, Batch    169, Loss  0.861927, Average Loss  0.867851, Time  0.239932
2021-09-16 07:06:49.467446 : Epoch  6, Batch    488, Loss  0.887005, Average Loss  0.868943, Time  0.265912
2021-09-16 07:06:50.692259 : Epoch  4, Batch    170, Loss  0.862890, Average Loss  0.867823, Time  0.242352
2021-09-16 07:06:52.479210 : Epoch  6, Batch    489, Loss  0.869900, Average Loss  0.868767, Time  0.276119
2021-09-16 07:06:53.278180 : Epoch  4, Batch    171, Loss  0.871476, Average Loss  0.867767, Time  0.240287
2021-09-16 07:06:55.445445 : Epoch  6, Batch    490, Loss  0.873972, Average Loss  0.868648, Time  0.264421
2021-09-16 07:06:55.857204 : Epoch  4, Batch    172, Loss  0.875005, Average Loss  0.867784, Time  0.239901
2021-09-16 07:06:58.426702 : Epoch  4, Batch    173, Loss  0.876216, Average Loss  0.867924, Time  0.239959
2021-09-16 07:06:58.429848 : Epoch  6, Batch    491, Loss  0.868253, Average Loss  0.868586, Time  0.265901
2021-09-16 07:07:01.019098 : Epoch  4, Batch    174, Loss  0.890865, Average Loss  0.868031, Time  0.240790
2021-09-16 07:07:01.422392 : Epoch  6, Batch    492, Loss  0.874452, Average Loss  0.868721, Time  0.265431
2021-09-16 07:07:03.602807 : Epoch  4, Batch    175, Loss  0.860090, Average Loss  0.868086, Time  0.240312
2021-09-16 07:07:04.393143 : Epoch  6, Batch    493, Loss  0.866322, Average Loss  0.868574, Time  0.265326
2021-09-16 07:07:06.201890 : Epoch  4, Batch    176, Loss  0.861342, Average Loss  0.867933, Time  0.241101
2021-09-16 07:07:07.371169 : Epoch  6, Batch    494, Loss  0.847488, Average Loss  0.868449, Time  0.266167
2021-09-16 07:07:08.780338 : Epoch  4, Batch    177, Loss  0.847930, Average Loss  0.867911, Time  0.241091
2021-09-16 07:07:10.365312 : Epoch  6, Batch    495, Loss  0.864633, Average Loss  0.868391, Time  0.265866
2021-09-16 07:07:11.371677 : Epoch  4, Batch    178, Loss  0.864475, Average Loss  0.867860, Time  0.244842
2021-09-16 07:07:13.347423 : Epoch  6, Batch    496, Loss  0.857693, Average Loss  0.868308, Time  0.265329
2021-09-16 07:07:13.969182 : Epoch  4, Batch    179, Loss  0.872585, Average Loss  0.867908, Time  0.243554
2021-09-16 07:07:16.338057 : Epoch  6, Batch    497, Loss  0.857967, Average Loss  0.868221, Time  0.266548
2021-09-16 07:07:16.558766 : Epoch  4, Batch    180, Loss  0.873076, Average Loss  0.867946, Time  0.241137
2021-09-16 07:07:19.128026 : Epoch  4, Batch    181, Loss  0.877155, Average Loss  0.867906, Time  0.241677
2021-09-16 07:07:19.330931 : Epoch  6, Batch    498, Loss  0.893376, Average Loss  0.868420, Time  0.266153
2021-09-16 07:07:21.723998 : Epoch  4, Batch    182, Loss  0.885193, Average Loss  0.867891, Time  0.241660
2021-09-16 07:07:22.301018 : Epoch  6, Batch    499, Loss  0.875203, Average Loss  0.868379, Time  0.265209
2021-09-16 07:07:24.312165 : Epoch  4, Batch    183, Loss  0.872612, Average Loss  0.867894, Time  0.242319
2021-09-16 07:07:25.276052 : Epoch  6, Batch    500, Loss  0.880211, Average Loss  0.868525, Time  0.266779
2021-09-16 07:07:26.902143 : Epoch  4, Batch    184, Loss  0.877137, Average Loss  0.867919, Time  0.240405
2021-09-16 07:07:28.255280 : Epoch  6, Batch    501, Loss  0.874920, Average Loss  0.868581, Time  0.264930
2021-09-16 07:07:29.495224 : Epoch  4, Batch    185, Loss  0.863250, Average Loss  0.867890, Time  0.240360
2021-09-16 07:07:31.248413 : Epoch  6, Batch    502, Loss  0.870721, Average Loss  0.868593, Time  0.266472
2021-09-16 07:07:32.090994 : Epoch  4, Batch    186, Loss  0.877378, Average Loss  0.867996, Time  0.241359
2021-09-16 07:07:34.250153 : Epoch  6, Batch    503, Loss  0.864119, Average Loss  0.868509, Time  0.268365
2021-09-16 07:07:34.697867 : Epoch  4, Batch    187, Loss  0.879284, Average Loss  0.868123, Time  0.242820
2021-09-16 07:07:37.248002 : Epoch  6, Batch    504, Loss  0.862846, Average Loss  0.868558, Time  0.278067
2021-09-16 07:07:37.279182 : Epoch  4, Batch    188, Loss  0.878554, Average Loss  0.868304, Time  0.241004
2021-09-16 07:07:39.882412 : Epoch  4, Batch    189, Loss  0.906486, Average Loss  0.868561, Time  0.239944
2021-09-16 07:07:40.276339 : Epoch  6, Batch    505, Loss  0.882016, Average Loss  0.868666, Time  0.266263
2021-09-16 07:07:42.467015 : Epoch  4, Batch    190, Loss  0.868560, Average Loss  0.868491, Time  0.240164
2021-09-16 07:07:43.281877 : Epoch  6, Batch    506, Loss  0.859881, Average Loss  0.868579, Time  0.267118
2021-09-16 07:07:45.041670 : Epoch  4, Batch    191, Loss  0.866607, Average Loss  0.868547, Time  0.240164
2021-09-16 07:07:46.286804 : Epoch  6, Batch    507, Loss  0.876794, Average Loss  0.868489, Time  0.266688
2021-09-16 07:07:47.629827 : Epoch  4, Batch    192, Loss  0.879137, Average Loss  0.868654, Time  0.240456
2021-09-16 07:07:49.298231 : Epoch  6, Batch    508, Loss  0.869907, Average Loss  0.868525, Time  0.266152
2021-09-16 07:07:50.218878 : Epoch  4, Batch    193, Loss  0.833841, Average Loss  0.868565, Time  0.241170
2021-09-16 07:07:52.318804 : Epoch  6, Batch    509, Loss  0.873163, Average Loss  0.868543, Time  0.266195
2021-09-16 07:07:52.806362 : Epoch  4, Batch    194, Loss  0.862573, Average Loss  0.868558, Time  0.239930
2021-09-16 07:07:55.293263 : Epoch  6, Batch    510, Loss  0.895748, Average Loss  0.868728, Time  0.265697
2021-09-16 07:07:55.383956 : Epoch  4, Batch    195, Loss  0.881016, Average Loss  0.868631, Time  0.240449
2021-09-16 07:07:57.958699 : Epoch  4, Batch    196, Loss  0.864005, Average Loss  0.868610, Time  0.243061
2021-09-16 07:07:58.282851 : Epoch  6, Batch    511, Loss  0.870250, Average Loss  0.868787, Time  0.265194
2021-09-16 07:08:00.547656 : Epoch  4, Batch    197, Loss  0.867774, Average Loss  0.868713, Time  0.240772
2021-09-16 07:08:01.242728 : Epoch  6, Batch    512, Loss  0.856863, Average Loss  0.868788, Time  0.266174
2021-09-16 07:08:03.142049 : Epoch  4, Batch    198, Loss  0.857236, Average Loss  0.868647, Time  0.240149
2021-09-16 07:08:04.254002 : Epoch  6, Batch    513, Loss  0.883443, Average Loss  0.868824, Time  0.266223
2021-09-16 07:08:05.727826 : Epoch  4, Batch    199, Loss  0.854235, Average Loss  0.868561, Time  0.242610
2021-09-16 07:08:07.266157 : Epoch  6, Batch    514, Loss  0.874758, Average Loss  0.868860, Time  0.266861
2021-09-16 07:08:08.326989 : Epoch  4, Batch    200, Loss  0.884098, Average Loss  0.868654, Time  0.241668
2021-09-16 07:08:10.283067 : Epoch  6, Batch    515, Loss  0.877159, Average Loss  0.868881, Time  0.265060
2021-09-16 07:08:10.934842 : Epoch  4, Batch    201, Loss  0.863691, Average Loss  0.868626, Time  0.239993
2021-09-16 07:08:13.271540 : Epoch  6, Batch    516, Loss  0.851028, Average Loss  0.868838, Time  0.265886
2021-09-16 07:08:13.554027 : Epoch  4, Batch    202, Loss  0.868719, Average Loss  0.868679, Time  0.241466
2021-09-16 07:08:16.134512 : Epoch  4, Batch    203, Loss  0.877354, Average Loss  0.868624, Time  0.241945
2021-09-16 07:08:16.266664 : Epoch  6, Batch    517, Loss  0.890921, Average Loss  0.868985, Time  0.266059
2021-09-16 07:08:18.716912 : Epoch  4, Batch    204, Loss  0.875782, Average Loss  0.868655, Time  0.240398
2021-09-16 07:08:19.224785 : Epoch  6, Batch    518, Loss  0.858425, Average Loss  0.868883, Time  0.265476
2021-09-16 07:08:21.302853 : Epoch  4, Batch    205, Loss  0.867937, Average Loss  0.868626, Time  0.241496
2021-09-16 07:08:22.217554 : Epoch  6, Batch    519, Loss  0.851283, Average Loss  0.868645, Time  0.276494
2021-09-16 07:08:23.897388 : Epoch  4, Batch    206, Loss  0.876699, Average Loss  0.868663, Time  0.240305
2021-09-16 07:08:25.197875 : Epoch  6, Batch    520, Loss  0.880369, Average Loss  0.868752, Time  0.265565
2021-09-16 07:08:26.508812 : Epoch  4, Batch    207, Loss  0.876569, Average Loss  0.868704, Time  0.240729
2021-09-16 07:08:29.109841 : Epoch  4, Batch    208, Loss  0.863942, Average Loss  0.868644, Time  0.240237
2021-09-16 07:08:31.705868 : Epoch  4, Batch    209, Loss  0.868500, Average Loss  0.868620, Time  0.240371
2021-09-16 07:08:34.300127 : Epoch  4, Batch    210, Loss  0.878340, Average Loss  0.868566, Time  0.240354
2021-09-16 07:08:36.912369 : Epoch  4, Batch    211, Loss  0.874464, Average Loss  0.868653, Time  0.242176
2021-09-16 07:08:39.530036 : Epoch  4, Batch    212, Loss  0.886130, Average Loss  0.868794, Time  0.239903
2021-09-16 07:08:42.122130 : Epoch  4, Batch    213, Loss  0.858950, Average Loss  0.868600, Time  0.239956
2021-09-16 07:08:44.723401 : Epoch  4, Batch    214, Loss  0.864405, Average Loss  0.868620, Time  0.239620
2021-09-16 07:08:47.303800 : Epoch  4, Batch    215, Loss  0.864060, Average Loss  0.868540, Time  0.240610
2021-09-16 07:08:49.882186 : Epoch  4, Batch    216, Loss  0.862901, Average Loss  0.868558, Time  0.240183
2021-09-16 07:08:52.467214 : Epoch  4, Batch    217, Loss  0.881119, Average Loss  0.868691, Time  0.240168
2021-09-16 07:08:55.052188 : Epoch  4, Batch    218, Loss  0.876809, Average Loss  0.868688, Time  0.239827
2021-09-16 07:08:57.630813 : Epoch  4, Batch    219, Loss  0.865197, Average Loss  0.868685, Time  0.240010
2021-09-16 07:09:00.232208 : Epoch  4, Batch    220, Loss  0.867725, Average Loss  0.868741, Time  0.240399
2021-09-16 07:09:02.820223 : Epoch  4, Batch    221, Loss  0.877341, Average Loss  0.868761, Time  0.241922
2021-09-16 07:09:05.417816 : Epoch  4, Batch    222, Loss  0.860019, Average Loss  0.868694, Time  0.240122
2021-09-16 07:09:08.024948 : Epoch  4, Batch    223, Loss  0.851878, Average Loss  0.868697, Time  0.240271
2021-09-16 07:09:10.621383 : Epoch  4, Batch    224, Loss  0.871917, Average Loss  0.868635, Time  0.240003
2021-09-16 07:09:13.213595 : Epoch  4, Batch    225, Loss  0.890381, Average Loss  0.868847, Time  0.239891
2021-09-16 07:09:15.803261 : Epoch  4, Batch    226, Loss  0.861719, Average Loss  0.868835, Time  0.241351
2021-09-16 07:09:18.390599 : Epoch  4, Batch    227, Loss  0.867461, Average Loss  0.868809, Time  0.239888
2021-09-16 07:09:20.988532 : Epoch  4, Batch    228, Loss  0.866400, Average Loss  0.868841, Time  0.241833
2021-09-16 07:09:23.585876 : Epoch  4, Batch    229, Loss  0.877179, Average Loss  0.868906, Time  0.240719
2021-09-16 07:09:26.183834 : Epoch  4, Batch    230, Loss  0.875288, Average Loss  0.868911, Time  0.242140
2021-09-16 07:09:28.779939 : Epoch  4, Batch    231, Loss  0.866485, Average Loss  0.868894, Time  0.240036
2021-09-16 07:09:31.381283 : Epoch  4, Batch    232, Loss  0.854651, Average Loss  0.868856, Time  0.240660
2021-09-16 07:13:05.919383 : CheckPoint: Validation Loss  0.00029970, Best Loss  0.00029295
2021-09-16 07:13:08.916675 : Epoch  6, Batch    521, Loss  0.866100, Average Loss  0.868784, Time  0.267602
2021-09-16 07:13:11.889397 : Epoch  6, Batch    522, Loss  0.875520, Average Loss  0.868842, Time  0.264775
2021-09-16 07:13:14.908382 : Epoch  6, Batch    523, Loss  0.868959, Average Loss  0.868936, Time  0.267282
2021-09-16 07:13:17.930150 : Epoch  6, Batch    524, Loss  0.856725, Average Loss  0.868937, Time  0.267157
2021-09-16 07:13:20.909428 : Epoch  6, Batch    525, Loss  0.877700, Average Loss  0.869008, Time  0.265404
2021-09-16 07:13:23.893764 : Epoch  6, Batch    526, Loss  0.875076, Average Loss  0.869008, Time  0.266083
2021-09-16 07:13:26.901267 : Epoch  6, Batch    527, Loss  0.881618, Average Loss  0.869060, Time  0.265292
2021-09-16 07:13:29.892100 : Epoch  6, Batch    528, Loss  0.879318, Average Loss  0.869167, Time  0.266406
2021-09-16 07:13:32.870018 : Epoch  6, Batch    529, Loss  0.873779, Average Loss  0.869209, Time  0.265803
2021-09-16 07:13:34.474754 : CheckPoint: Validation Loss  0.00030108, Best Loss  0.00029226
2021-09-16 07:13:35.883342 : Epoch  6, Batch    530, Loss  0.854505, Average Loss  0.869086, Time  0.265821
2021-09-16 07:13:37.088064 : Epoch  4, Batch    233, Loss  0.867928, Average Loss  0.868875, Time  0.265925
2021-09-16 07:13:38.900041 : Epoch  6, Batch    531, Loss  0.870069, Average Loss  0.869125, Time  0.265412
2021-09-16 07:13:39.679173 : Epoch  4, Batch    234, Loss  0.861649, Average Loss  0.868812, Time  0.242694
2021-09-16 07:13:41.908043 : Epoch  6, Batch    532, Loss  0.855092, Average Loss  0.869008, Time  0.266687
2021-09-16 07:13:42.273926 : Epoch  4, Batch    235, Loss  0.875228, Average Loss  0.868902, Time  0.240025
2021-09-16 07:13:44.851163 : Epoch  4, Batch    236, Loss  0.879050, Average Loss  0.868894, Time  0.239863
2021-09-16 07:13:44.900261 : Epoch  6, Batch    533, Loss  0.857976, Average Loss  0.868793, Time  0.265817
2021-09-16 07:13:47.458843 : Epoch  4, Batch    237, Loss  0.880311, Average Loss  0.868884, Time  0.240036
2021-09-16 07:13:47.900499 : Epoch  6, Batch    534, Loss  0.877645, Average Loss  0.868854, Time  0.277998
2021-09-16 07:13:50.061095 : Epoch  4, Batch    238, Loss  0.884245, Average Loss  0.868998, Time  0.240521
2021-09-16 07:13:50.904507 : Epoch  6, Batch    535, Loss  0.870616, Average Loss  0.868732, Time  0.266315
2021-09-16 07:13:52.650860 : Epoch  4, Batch    239, Loss  0.849193, Average Loss  0.868957, Time  0.240724
2021-09-16 07:13:53.876443 : Epoch  6, Batch    536, Loss  0.853238, Average Loss  0.868613, Time  0.266030
2021-09-16 07:13:55.250994 : Epoch  4, Batch    240, Loss  0.865295, Average Loss  0.868895, Time  0.240992
2021-09-16 07:13:56.887030 : Epoch  6, Batch    537, Loss  0.855712, Average Loss  0.868516, Time  0.267569
2021-09-16 07:13:57.851384 : Epoch  4, Batch    241, Loss  0.866242, Average Loss  0.868852, Time  0.241916
2021-09-16 07:13:59.914671 : Epoch  6, Batch    538, Loss  0.872249, Average Loss  0.868446, Time  0.266140
2021-09-16 07:14:00.454126 : Epoch  4, Batch    242, Loss  0.876239, Average Loss  0.868863, Time  0.242698
2021-09-16 07:14:02.898843 : Epoch  6, Batch    539, Loss  0.849125, Average Loss  0.868380, Time  0.265226
2021-09-16 07:14:03.044045 : Epoch  4, Batch    243, Loss  0.854610, Average Loss  0.868774, Time  0.240175
2021-09-16 07:14:05.615060 : Epoch  4, Batch    244, Loss  0.850685, Average Loss  0.868719, Time  0.240038
2021-09-16 07:14:05.922841 : Epoch  6, Batch    540, Loss  0.859057, Average Loss  0.868368, Time  0.265594
2021-09-16 07:14:08.213117 : Epoch  4, Batch    245, Loss  0.858113, Average Loss  0.868577, Time  0.240921
2021-09-16 07:14:08.892564 : Epoch  6, Batch    541, Loss  0.853039, Average Loss  0.868322, Time  0.266999
2021-09-16 07:14:10.818950 : Epoch  4, Batch    246, Loss  0.873470, Average Loss  0.868662, Time  0.241015
2021-09-16 07:14:11.878945 : Epoch  6, Batch    542, Loss  0.855404, Average Loss  0.868159, Time  0.265493
2021-09-16 07:14:13.414085 : Epoch  4, Batch    247, Loss  0.855889, Average Loss  0.868671, Time  0.241866
2021-09-16 07:14:14.857223 : Epoch  6, Batch    543, Loss  0.866742, Average Loss  0.868183, Time  0.265520
2021-09-16 07:14:16.012903 : Epoch  4, Batch    248, Loss  0.852258, Average Loss  0.868520, Time  0.240968
2021-09-16 07:14:17.839851 : Epoch  6, Batch    544, Loss  0.879734, Average Loss  0.868250, Time  0.265670
2021-09-16 07:14:18.602905 : Epoch  4, Batch    249, Loss  0.859835, Average Loss  0.868403, Time  0.240423
2021-09-16 07:14:20.818270 : Epoch  6, Batch    545, Loss  0.902419, Average Loss  0.868384, Time  0.265555
2021-09-16 07:14:21.205131 : Epoch  4, Batch    250, Loss  0.885864, Average Loss  0.868550, Time  0.241721
2021-09-16 07:14:23.788196 : Epoch  4, Batch    251, Loss  0.864526, Average Loss  0.868537, Time  0.242490
2021-09-16 07:14:23.840530 : Epoch  6, Batch    546, Loss  0.865316, Average Loss  0.868504, Time  0.267519
2021-09-16 07:14:26.398043 : Epoch  4, Batch    252, Loss  0.867230, Average Loss  0.868496, Time  0.242922
2021-09-16 07:14:26.871605 : Epoch  6, Batch    547, Loss  0.869285, Average Loss  0.868494, Time  0.266676
2021-09-16 07:14:28.988690 : Epoch  4, Batch    253, Loss  0.868361, Average Loss  0.868483, Time  0.240795
2021-09-16 07:14:29.879241 : Epoch  6, Batch    548, Loss  0.892337, Average Loss  0.868598, Time  0.266484
2021-09-16 07:14:31.579826 : Epoch  4, Batch    254, Loss  0.867637, Average Loss  0.868467, Time  0.239944
2021-09-16 07:14:32.899262 : Epoch  6, Batch    549, Loss  0.870890, Average Loss  0.868626, Time  0.275592
2021-09-16 07:14:34.170800 : Epoch  4, Batch    255, Loss  0.853972, Average Loss  0.868498, Time  0.240987
2021-09-16 07:14:35.880042 : Epoch  6, Batch    550, Loss  0.852600, Average Loss  0.868471, Time  0.266790
2021-09-16 07:14:36.772870 : Epoch  4, Batch    256, Loss  0.841655, Average Loss  0.868282, Time  0.240452
2021-09-16 07:14:38.900514 : Epoch  6, Batch    551, Loss  0.859254, Average Loss  0.868417, Time  0.265210
2021-09-16 07:14:39.369115 : Epoch  4, Batch    257, Loss  0.883313, Average Loss  0.868408, Time  0.240656
2021-09-16 07:14:41.913505 : Epoch  6, Batch    552, Loss  0.865784, Average Loss  0.868409, Time  0.265554
2021-09-16 07:14:41.962263 : Epoch  4, Batch    258, Loss  0.841580, Average Loss  0.868223, Time  0.240186
2021-09-16 07:14:44.576368 : Epoch  4, Batch    259, Loss  0.864814, Average Loss  0.868228, Time  0.240317
2021-09-16 07:14:44.922085 : Epoch  6, Batch    553, Loss  0.875606, Average Loss  0.868382, Time  0.265593
2021-09-16 07:14:47.180837 : Epoch  4, Batch    260, Loss  0.874554, Average Loss  0.868299, Time  0.240423
2021-09-16 07:14:47.951136 : Epoch  6, Batch    554, Loss  0.882306, Average Loss  0.868483, Time  0.264884
2021-09-16 07:14:49.796449 : Epoch  4, Batch    261, Loss  0.887339, Average Loss  0.868405, Time  0.240927
2021-09-16 07:14:50.935689 : Epoch  6, Batch    555, Loss  0.884566, Average Loss  0.868579, Time  0.264885
2021-09-16 07:14:52.414872 : Epoch  4, Batch    262, Loss  0.861919, Average Loss  0.868323, Time  0.240235
2021-09-16 07:14:53.916069 : Epoch  6, Batch    556, Loss  0.895495, Average Loss  0.868783, Time  0.266109
2021-09-16 07:14:55.030839 : Epoch  4, Batch    263, Loss  0.877377, Average Loss  0.868425, Time  0.241270
2021-09-16 07:14:56.941016 : Epoch  6, Batch    557, Loss  0.864454, Average Loss  0.868823, Time  0.265908
2021-09-16 07:14:57.636046 : Epoch  4, Batch    264, Loss  0.853858, Average Loss  0.868306, Time  0.240216
2021-09-16 07:14:59.936778 : Epoch  6, Batch    558, Loss  0.874519, Average Loss  0.868825, Time  0.265507
2021-09-16 07:15:00.244857 : Epoch  4, Batch    265, Loss  0.851861, Average Loss  0.868257, Time  0.241053
2021-09-16 07:15:02.823178 : Epoch  4, Batch    266, Loss  0.868462, Average Loss  0.868247, Time  0.239972
2021-09-16 07:15:02.920836 : Epoch  6, Batch    559, Loss  0.864093, Average Loss  0.868860, Time  0.266383
2021-09-16 07:15:05.422233 : Epoch  4, Batch    267, Loss  0.865633, Average Loss  0.868136, Time  0.240127
2021-09-16 07:15:05.923631 : Epoch  6, Batch    560, Loss  0.890639, Average Loss  0.869054, Time  0.265379
2021-09-16 07:15:08.031132 : Epoch  4, Batch    268, Loss  0.853532, Average Loss  0.868083, Time  0.240883
2021-09-16 07:15:08.890975 : Epoch  6, Batch    561, Loss  0.876006, Average Loss  0.869042, Time  0.265651
2021-09-16 07:15:10.649943 : Epoch  4, Batch    269, Loss  0.861141, Average Loss  0.868079, Time  0.245714
2021-09-16 07:15:11.884107 : Epoch  6, Batch    562, Loss  0.873166, Average Loss  0.869080, Time  0.266298
2021-09-16 07:15:13.262153 : Epoch  4, Batch    270, Loss  0.865666, Average Loss  0.868100, Time  0.241100
2021-09-16 07:15:14.892768 : Epoch  6, Batch    563, Loss  0.864230, Average Loss  0.868910, Time  0.267791
2021-09-16 07:15:15.863404 : Epoch  4, Batch    271, Loss  0.876013, Average Loss  0.868119, Time  0.240767
2021-09-16 07:15:17.891507 : Epoch  6, Batch    564, Loss  0.844119, Average Loss  0.868876, Time  0.273533
2021-09-16 07:15:18.486683 : Epoch  4, Batch    272, Loss  0.886755, Average Loss  0.868324, Time  0.240335
2021-09-16 07:15:20.908424 : Epoch  6, Batch    565, Loss  0.867928, Average Loss  0.868796, Time  0.265354
2021-09-16 07:15:21.092823 : Epoch  4, Batch    273, Loss  0.881685, Average Loss  0.868468, Time  0.240956
2021-09-16 07:15:23.704305 : Epoch  4, Batch    274, Loss  0.868870, Average Loss  0.868510, Time  0.240314
2021-09-16 07:15:23.894677 : Epoch  6, Batch    566, Loss  0.884451, Average Loss  0.868904, Time  0.265634
2021-09-16 07:15:26.306066 : Epoch  4, Batch    275, Loss  0.853774, Average Loss  0.868505, Time  0.240036
2021-09-16 07:15:26.897678 : Epoch  6, Batch    567, Loss  0.860509, Average Loss  0.868929, Time  0.265350
2021-09-16 07:15:28.903434 : Epoch  4, Batch    276, Loss  0.872390, Average Loss  0.868475, Time  0.241936
2021-09-16 07:15:29.904386 : Epoch  6, Batch    568, Loss  0.850590, Average Loss  0.868949, Time  0.267725
2021-09-16 07:15:31.511229 : Epoch  4, Batch    277, Loss  0.867192, Average Loss  0.868326, Time  0.239729
2021-09-16 07:15:32.910244 : Epoch  6, Batch    569, Loss  0.903751, Average Loss  0.869135, Time  0.265681
2021-09-16 07:15:34.110182 : Epoch  4, Batch    278, Loss  0.894534, Average Loss  0.868446, Time  0.240883
2021-09-16 07:15:35.889607 : Epoch  6, Batch    570, Loss  0.868196, Average Loss  0.869117, Time  0.266176
2021-09-16 07:15:36.718988 : Epoch  4, Batch    279, Loss  0.896445, Average Loss  0.868732, Time  0.241655
2021-09-16 07:15:38.898675 : Epoch  6, Batch    571, Loss  0.875462, Average Loss  0.869100, Time  0.265850
2021-09-16 07:15:39.327843 : Epoch  4, Batch    280, Loss  0.889520, Average Loss  0.868713, Time  0.240633
2021-09-16 07:15:41.877505 : Epoch  6, Batch    572, Loss  0.868005, Average Loss  0.869077, Time  0.265315
2021-09-16 07:15:41.920695 : Epoch  4, Batch    281, Loss  0.868823, Average Loss  0.868628, Time  0.239954
2021-09-16 07:15:44.517288 : Epoch  4, Batch    282, Loss  0.880777, Average Loss  0.868670, Time  0.239966
2021-09-16 07:15:44.900785 : Epoch  6, Batch    573, Loss  0.873302, Average Loss  0.869076, Time  0.266148
2021-09-16 07:15:47.118406 : Epoch  4, Batch    283, Loss  0.854701, Average Loss  0.868587, Time  0.239709
2021-09-16 07:15:47.880277 : Epoch  6, Batch    574, Loss  0.859297, Average Loss  0.868939, Time  0.265815
2021-09-16 07:15:49.723013 : Epoch  4, Batch    284, Loss  0.869357, Average Loss  0.868665, Time  0.239918
2021-09-16 07:15:50.894392 : Epoch  6, Batch    575, Loss  0.855785, Average Loss  0.868752, Time  0.265438
2021-09-16 07:15:52.330948 : Epoch  4, Batch    285, Loss  0.848323, Average Loss  0.868434, Time  0.240404
2021-09-16 07:15:53.865040 : Epoch  6, Batch    576, Loss  0.859035, Average Loss  0.868702, Time  0.264899
2021-09-16 07:15:54.930847 : Epoch  4, Batch    286, Loss  0.876337, Average Loss  0.868528, Time  0.241721
2021-09-16 07:15:56.929428 : Epoch  6, Batch    577, Loss  0.850043, Average Loss  0.868705, Time  0.266831
2021-09-16 07:15:57.521220 : Epoch  4, Batch    287, Loss  0.862036, Average Loss  0.868487, Time  0.240793
2021-09-16 07:15:59.915931 : Epoch  6, Batch    578, Loss  0.858733, Average Loss  0.868556, Time  0.265285
2021-09-16 07:16:00.134038 : Epoch  4, Batch    288, Loss  0.912804, Average Loss  0.868808, Time  0.241585
2021-09-16 07:16:02.726051 : Epoch  4, Batch    289, Loss  0.873108, Average Loss  0.868865, Time  0.240806
2021-09-16 07:16:02.915746 : Epoch  6, Batch    579, Loss  0.860412, Average Loss  0.868495, Time  0.277396
2021-09-16 07:16:05.313681 : Epoch  4, Batch    290, Loss  0.893320, Average Loss  0.868905, Time  0.239782
2021-09-16 07:16:05.886056 : Epoch  6, Batch    580, Loss  0.871891, Average Loss  0.868552, Time  0.267774
2021-09-16 07:16:07.902614 : Epoch  4, Batch    291, Loss  0.882708, Average Loss  0.869026, Time  0.243200
2021-09-16 07:16:08.894365 : Epoch  6, Batch    581, Loss  0.850839, Average Loss  0.868477, Time  0.266331
2021-09-16 07:16:10.508879 : Epoch  4, Batch    292, Loss  0.858425, Average Loss  0.868980, Time  0.241783
2021-09-16 07:16:11.900765 : Epoch  6, Batch    582, Loss  0.867533, Average Loss  0.868323, Time  0.267111
2021-09-16 07:16:13.105413 : Epoch  4, Batch    293, Loss  0.868371, Average Loss  0.868882, Time  0.239780
2021-09-16 07:16:14.916058 : Epoch  6, Batch    583, Loss  0.876165, Average Loss  0.868462, Time  0.265518
2021-09-16 07:16:15.691664 : Epoch  4, Batch    294, Loss  0.871711, Average Loss  0.868918, Time  0.241959
2021-09-16 07:16:17.902770 : Epoch  6, Batch    584, Loss  0.896897, Average Loss  0.868629, Time  0.267045
2021-09-16 07:16:18.295462 : Epoch  4, Batch    295, Loss  0.874875, Average Loss  0.868966, Time  0.239809
2021-09-16 07:16:20.888099 : Epoch  4, Batch    296, Loss  0.854847, Average Loss  0.869023, Time  0.239908
2021-09-16 07:16:20.933296 : Epoch  6, Batch    585, Loss  0.855723, Average Loss  0.868647, Time  0.267360
2021-09-16 07:16:23.506411 : Epoch  4, Batch    297, Loss  0.887873, Average Loss  0.869131, Time  0.239944
2021-09-16 07:16:23.939101 : Epoch  6, Batch    586, Loss  0.869160, Average Loss  0.868649, Time  0.266001
2021-09-16 07:16:26.107438 : Epoch  4, Batch    298, Loss  0.879622, Average Loss  0.869267, Time  0.240096
2021-09-16 07:16:26.940421 : Epoch  6, Batch    587, Loss  0.864969, Average Loss  0.868682, Time  0.266039
2021-09-16 07:16:28.711869 : Epoch  4, Batch    299, Loss  0.883169, Average Loss  0.869390, Time  0.239977
2021-09-16 07:16:29.956704 : Epoch  6, Batch    588, Loss  0.862312, Average Loss  0.868596, Time  0.266391
2021-09-16 07:16:31.324415 : Epoch  4, Batch    300, Loss  0.849673, Average Loss  0.869258, Time  0.240659
2021-09-16 07:16:32.943458 : Epoch  6, Batch    589, Loss  0.858473, Average Loss  0.868484, Time  0.266387
2021-09-16 07:16:33.935293 : Epoch  4, Batch    301, Loss  0.879803, Average Loss  0.869333, Time  0.241711
2021-09-16 07:16:35.931761 : Epoch  6, Batch    590, Loss  0.872841, Average Loss  0.868591, Time  0.265861
2021-09-16 07:16:36.547902 : Epoch  4, Batch    302, Loss  0.869087, Average Loss  0.869313, Time  0.240674
2021-09-16 07:16:38.910356 : Epoch  6, Batch    591, Loss  0.880071, Average Loss  0.868565, Time  0.265622
2021-09-16 07:16:39.146462 : Epoch  4, Batch    303, Loss  0.846960, Average Loss  0.869173, Time  0.240932
2021-09-16 07:16:41.749208 : Epoch  4, Batch    304, Loss  0.875087, Average Loss  0.869133, Time  0.241022
2021-09-16 07:16:41.892457 : Epoch  6, Batch    592, Loss  0.866406, Average Loss  0.868499, Time  0.265127
2021-09-16 07:16:44.345741 : Epoch  4, Batch    305, Loss  0.854891, Average Loss  0.869110, Time  0.240289
2021-09-16 07:16:44.878097 : Epoch  6, Batch    593, Loss  0.854858, Average Loss  0.868462, Time  0.265769
2021-09-16 07:16:46.948139 : Epoch  4, Batch    306, Loss  0.861750, Average Loss  0.869136, Time  0.240150
2021-09-16 07:16:47.865129 : Epoch  6, Batch    594, Loss  0.869017, Average Loss  0.868388, Time  0.277034
2021-09-16 07:16:49.559653 : Epoch  4, Batch    307, Loss  0.877744, Average Loss  0.869140, Time  0.240707
2021-09-16 07:16:50.841480 : Epoch  6, Batch    595, Loss  0.856458, Average Loss  0.868194, Time  0.265644
2021-09-16 07:16:52.187662 : Epoch  4, Batch    308, Loss  0.880541, Average Loss  0.869277, Time  0.239959
2021-09-16 07:16:53.821910 : Epoch  6, Batch    596, Loss  0.895380, Average Loss  0.868428, Time  0.267123
2021-09-16 07:16:54.794157 : Epoch  4, Batch    309, Loss  0.868195, Average Loss  0.869324, Time  0.241324
2021-09-16 07:16:56.833978 : Epoch  6, Batch    597, Loss  0.852482, Average Loss  0.868317, Time  0.265339
2021-09-16 07:16:57.387483 : Epoch  4, Batch    310, Loss  0.870770, Average Loss  0.869356, Time  0.240070
2021-09-16 07:16:59.809327 : Epoch  6, Batch    598, Loss  0.860257, Average Loss  0.868262, Time  0.265074
2021-09-16 07:16:59.994717 : Epoch  4, Batch    311, Loss  0.862442, Average Loss  0.869301, Time  0.240735
2021-09-16 07:17:02.588007 : Epoch  4, Batch    312, Loss  0.843974, Average Loss  0.869127, Time  0.240664
2021-09-16 07:17:02.790494 : Epoch  6, Batch    599, Loss  0.868391, Average Loss  0.868275, Time  0.266864
2021-09-16 07:17:05.185685 : Epoch  4, Batch    313, Loss  0.874825, Average Loss  0.869120, Time  0.241232
2021-09-16 07:17:05.775738 : Epoch  6, Batch    600, Loss  0.868581, Average Loss  0.868348, Time  0.265450
2021-09-16 07:17:07.791954 : Epoch  4, Batch    314, Loss  0.857951, Average Loss  0.869133, Time  0.240588
2021-09-16 07:17:08.760875 : Epoch  6, Batch    601, Loss  0.873401, Average Loss  0.868395, Time  0.265500
2021-09-16 07:17:10.380804 : Epoch  4, Batch    315, Loss  0.847942, Average Loss  0.868838, Time  0.241740
2021-09-16 07:17:11.770160 : Epoch  6, Batch    602, Loss  0.863916, Average Loss  0.868462, Time  0.267978
2021-09-16 07:17:12.978658 : Epoch  4, Batch    316, Loss  0.856765, Average Loss  0.868878, Time  0.240339
2021-09-16 07:17:14.781615 : Epoch  6, Batch    603, Loss  0.862701, Average Loss  0.868345, Time  0.266254
2021-09-16 07:17:15.575274 : Epoch  4, Batch    317, Loss  0.878237, Average Loss  0.868908, Time  0.239920
2021-09-16 07:17:17.772435 : Epoch  6, Batch    604, Loss  0.880846, Average Loss  0.868372, Time  0.266638
2021-09-16 07:17:18.179833 : Epoch  4, Batch    318, Loss  0.861456, Average Loss  0.868865, Time  0.243534
2021-09-16 07:17:20.764663 : Epoch  6, Batch    605, Loss  0.851738, Average Loss  0.868352, Time  0.265817
2021-09-16 07:17:20.798829 : Epoch  4, Batch    319, Loss  0.883469, Average Loss  0.869009, Time  0.240385
2021-09-16 07:17:23.396760 : Epoch  4, Batch    320, Loss  0.874502, Average Loss  0.868881, Time  0.241012
2021-09-16 07:17:23.751457 : Epoch  6, Batch    606, Loss  0.858814, Average Loss  0.868260, Time  0.265352
2021-09-16 07:17:26.000402 : Epoch  4, Batch    321, Loss  0.851895, Average Loss  0.868907, Time  0.240740
2021-09-16 07:17:26.726712 : Epoch  6, Batch    607, Loss  0.849050, Average Loss  0.868280, Time  0.266076
2021-09-16 07:17:28.605911 : Epoch  4, Batch    322, Loss  0.850894, Average Loss  0.868845, Time  0.241185
2021-09-16 07:17:29.739725 : Epoch  6, Batch    608, Loss  0.875106, Average Loss  0.868409, Time  0.265384
2021-09-16 07:17:31.209064 : Epoch  4, Batch    323, Loss  0.871843, Average Loss  0.868816, Time  0.242425
2021-09-16 07:17:32.726165 : Epoch  6, Batch    609, Loss  0.874788, Average Loss  0.868446, Time  0.275379
2021-09-16 07:17:33.808248 : Epoch  4, Batch    324, Loss  0.865796, Average Loss  0.868905, Time  0.242464
2021-09-16 07:17:35.724025 : Epoch  6, Batch    610, Loss  0.842006, Average Loss  0.868393, Time  0.265582
2021-09-16 07:17:36.411146 : Epoch  4, Batch    325, Loss  0.878560, Average Loss  0.868989, Time  0.240199
2021-09-16 07:17:38.751835 : Epoch  6, Batch    611, Loss  0.857944, Average Loss  0.868297, Time  0.265877
2021-09-16 07:17:39.005323 : Epoch  4, Batch    326, Loss  0.859102, Average Loss  0.868912, Time  0.240205
2021-09-16 07:17:41.594998 : Epoch  4, Batch    327, Loss  0.882372, Average Loss  0.869080, Time  0.240450
2021-09-16 07:17:41.772524 : Epoch  6, Batch    612, Loss  0.829508, Average Loss  0.868141, Time  0.266427
2021-09-16 07:17:44.196040 : Epoch  4, Batch    328, Loss  0.860514, Average Loss  0.869183, Time  0.240532
2021-09-16 07:17:44.782550 : Epoch  6, Batch    613, Loss  0.873122, Average Loss  0.868094, Time  0.266222
2021-09-16 07:17:46.790627 : Epoch  4, Batch    329, Loss  0.876485, Average Loss  0.869194, Time  0.239672
2021-09-16 07:17:47.764299 : Epoch  6, Batch    614, Loss  0.857625, Average Loss  0.868091, Time  0.265264
2021-09-16 07:17:49.392437 : Epoch  4, Batch    330, Loss  0.838013, Average Loss  0.868973, Time  0.240485
2021-09-16 07:17:50.731112 : Epoch  6, Batch    615, Loss  0.864862, Average Loss  0.868069, Time  0.264977
2021-09-16 07:17:51.988962 : Epoch  4, Batch    331, Loss  0.871409, Average Loss  0.869049, Time  0.241268
2021-09-16 07:17:53.734868 : Epoch  6, Batch    616, Loss  0.870660, Average Loss  0.868153, Time  0.266158
2021-09-16 07:17:54.602766 : Epoch  4, Batch    332, Loss  0.855204, Average Loss  0.868909, Time  0.242036
2021-09-16 07:17:56.719687 : Epoch  6, Batch    617, Loss  0.876967, Average Loss  0.868280, Time  0.265928
2021-09-16 07:17:59.722746 : Epoch  6, Batch    618, Loss  0.895435, Average Loss  0.868431, Time  0.267462
2021-09-16 07:18:02.705454 : Epoch  6, Batch    619, Loss  0.885764, Average Loss  0.868516, Time  0.266609
2021-09-16 07:18:05.681324 : Epoch  6, Batch    620, Loss  0.866866, Average Loss  0.868492, Time  0.264803
2021-09-16 07:21:59.108758 : CheckPoint: Validation Loss  0.00030708, Best Loss  0.00029226
2021-09-16 07:22:01.712870 : Epoch  4, Batch    333, Loss  0.868579, Average Loss  0.868925, Time  0.243258
2021-09-16 07:22:04.330866 : Epoch  4, Batch    334, Loss  0.855245, Average Loss  0.868728, Time  0.241105
2021-09-16 07:22:06.931489 : Epoch  4, Batch    335, Loss  0.870718, Average Loss  0.868751, Time  0.240480
2021-09-16 07:22:09.533038 : Epoch  4, Batch    336, Loss  0.866702, Average Loss  0.868749, Time  0.240422
2021-09-16 07:22:12.133030 : Epoch  4, Batch    337, Loss  0.868167, Average Loss  0.868782, Time  0.240160
2021-09-16 07:22:14.738616 : Epoch  4, Batch    338, Loss  0.896212, Average Loss  0.868952, Time  0.240350
2021-09-16 07:22:17.340750 : Epoch  4, Batch    339, Loss  0.866245, Average Loss  0.868957, Time  0.241008
2021-09-16 07:22:19.954059 : Epoch  4, Batch    340, Loss  0.857258, Average Loss  0.868918, Time  0.240278
2021-09-16 07:22:22.553771 : Epoch  4, Batch    341, Loss  0.857090, Average Loss  0.868963, Time  0.240053
2021-09-16 07:22:25.175630 : Epoch  4, Batch    342, Loss  0.864601, Average Loss  0.868981, Time  0.239982
2021-09-16 07:22:27.779223 : Epoch  4, Batch    343, Loss  0.855219, Average Loss  0.868795, Time  0.240134
2021-09-16 07:22:30.372303 : Epoch  4, Batch    344, Loss  0.879125, Average Loss  0.868833, Time  0.240655
2021-09-16 07:22:32.980419 : Epoch  4, Batch    345, Loss  0.862033, Average Loss  0.868891, Time  0.240709
2021-09-16 07:22:35.575429 : Epoch  4, Batch    346, Loss  0.890341, Average Loss  0.868920, Time  0.242480
2021-09-16 07:22:38.188885 : Epoch  4, Batch    347, Loss  0.863392, Average Loss  0.868951, Time  0.240729
2021-09-16 07:22:40.804290 : Epoch  4, Batch    348, Loss  0.872620, Average Loss  0.868830, Time  0.241161
2021-09-16 07:22:43.424679 : Epoch  4, Batch    349, Loss  0.869874, Average Loss  0.868871, Time  0.240319
2021-09-16 07:22:46.025588 : Epoch  4, Batch    350, Loss  0.875474, Average Loss  0.868847, Time  0.240753
2021-09-16 07:22:47.356438 : CheckPoint: Validation Loss  0.00029486, Best Loss  0.00029295
2021-09-16 07:22:48.647927 : Epoch  4, Batch    351, Loss  0.862782, Average Loss  0.868864, Time  0.243410
2021-09-16 07:22:50.383619 : Epoch  6, Batch    621, Loss  0.862947, Average Loss  0.868488, Time  0.267657
2021-09-16 07:22:51.253403 : Epoch  4, Batch    352, Loss  0.853901, Average Loss  0.868743, Time  0.240243
2021-09-16 07:22:53.416496 : Epoch  6, Batch    622, Loss  0.868776, Average Loss  0.868550, Time  0.276978
2021-09-16 07:22:53.847198 : Epoch  4, Batch    353, Loss  0.878930, Average Loss  0.868761, Time  0.240987
2021-09-16 07:22:56.401375 : Epoch  6, Batch    623, Loss  0.871197, Average Loss  0.868519, Time  0.266200
2021-09-16 07:22:56.447081 : Epoch  4, Batch    354, Loss  0.859571, Average Loss  0.868767, Time  0.240337
2021-09-16 07:22:59.054314 : Epoch  4, Batch    355, Loss  0.884057, Average Loss  0.868804, Time  0.239917
2021-09-16 07:22:59.380026 : Epoch  6, Batch    624, Loss  0.848163, Average Loss  0.868373, Time  0.266568
2021-09-16 07:23:01.664390 : Epoch  4, Batch    356, Loss  0.890028, Average Loss  0.868851, Time  0.240572
2021-09-16 07:23:02.357449 : Epoch  6, Batch    625, Loss  0.857673, Average Loss  0.868319, Time  0.265315
2021-09-16 07:23:04.263019 : Epoch  4, Batch    357, Loss  0.890179, Average Loss  0.868938, Time  0.239984
2021-09-16 07:23:05.369848 : Epoch  6, Batch    626, Loss  0.865418, Average Loss  0.868317, Time  0.265530
2021-09-16 07:23:06.865138 : Epoch  4, Batch    358, Loss  0.883532, Average Loss  0.868982, Time  0.240425
2021-09-16 07:23:08.359637 : Epoch  6, Batch    627, Loss  0.874410, Average Loss  0.868399, Time  0.265520
2021-09-16 07:23:09.472713 : Epoch  4, Batch    359, Loss  0.876840, Average Loss  0.868972, Time  0.241309
2021-09-16 07:23:11.366546 : Epoch  6, Batch    628, Loss  0.865728, Average Loss  0.868351, Time  0.265661
2021-09-16 07:23:12.076081 : Epoch  4, Batch    360, Loss  0.874963, Average Loss  0.868942, Time  0.241369
2021-09-16 07:23:14.350332 : Epoch  6, Batch    629, Loss  0.875540, Average Loss  0.868490, Time  0.265534
2021-09-16 07:23:14.686115 : Epoch  4, Batch    361, Loss  0.858273, Average Loss  0.868927, Time  0.240699
2021-09-16 07:23:17.285998 : Epoch  4, Batch    362, Loss  0.890349, Average Loss  0.869043, Time  0.240140
2021-09-16 07:23:17.360107 : Epoch  6, Batch    630, Loss  0.875834, Average Loss  0.868483, Time  0.267259
2021-09-16 07:23:19.887384 : Epoch  4, Batch    363, Loss  0.884232, Average Loss  0.869136, Time  0.242096
2021-09-16 07:23:20.386651 : Epoch  6, Batch    631, Loss  0.868692, Average Loss  0.868505, Time  0.266196
2021-09-16 07:23:22.491499 : Epoch  4, Batch    364, Loss  0.868431, Average Loss  0.869084, Time  0.239697
2021-09-16 07:23:23.415457 : Epoch  6, Batch    632, Loss  0.856849, Average Loss  0.868479, Time  0.266063
2021-09-16 07:23:25.089909 : Epoch  4, Batch    365, Loss  0.888543, Average Loss  0.869276, Time  0.239884
2021-09-16 07:23:26.435427 : Epoch  6, Batch    633, Loss  0.862566, Average Loss  0.868487, Time  0.265586
2021-09-16 07:23:27.700752 : Epoch  4, Batch    366, Loss  0.850298, Average Loss  0.869246, Time  0.242935
2021-09-16 07:23:29.430127 : Epoch  6, Batch    634, Loss  0.848747, Average Loss  0.868481, Time  0.265648
2021-09-16 07:23:30.301823 : Epoch  4, Batch    367, Loss  0.850373, Average Loss  0.869137, Time  0.240093
2021-09-16 07:23:32.424135 : Epoch  6, Batch    635, Loss  0.845335, Average Loss  0.868457, Time  0.265770
2021-09-16 07:23:32.916167 : Epoch  4, Batch    368, Loss  0.877019, Average Loss  0.869261, Time  0.240891
2021-09-16 07:23:35.397861 : Epoch  6, Batch    636, Loss  0.855551, Average Loss  0.868409, Time  0.265542
2021-09-16 07:23:35.503709 : Epoch  4, Batch    369, Loss  0.872484, Average Loss  0.869314, Time  0.240927
2021-09-16 07:23:38.099876 : Epoch  4, Batch    370, Loss  0.875114, Average Loss  0.869375, Time  0.240638
2021-09-16 07:23:38.393190 : Epoch  6, Batch    637, Loss  0.882310, Average Loss  0.868402, Time  0.275506
2021-09-16 07:23:40.715096 : Epoch  4, Batch    371, Loss  0.882624, Average Loss  0.869431, Time  0.242922
2021-09-16 07:23:41.392235 : Epoch  6, Batch    638, Loss  0.866422, Average Loss  0.868429, Time  0.266078
2021-09-16 07:23:43.319140 : Epoch  4, Batch    372, Loss  0.867422, Average Loss  0.869393, Time  0.240885
2021-09-16 07:23:44.381067 : Epoch  6, Batch    639, Loss  0.899026, Average Loss  0.868619, Time  0.265470
2021-09-16 07:23:45.921487 : Epoch  4, Batch    373, Loss  0.874560, Average Loss  0.869385, Time  0.240238
2021-09-16 07:23:47.377749 : Epoch  6, Batch    640, Loss  0.869169, Average Loss  0.868597, Time  0.266230
2021-09-16 07:23:48.519454 : Epoch  4, Batch    374, Loss  0.851975, Average Loss  0.869190, Time  0.240615
2021-09-16 07:23:50.354111 : Epoch  6, Batch    641, Loss  0.900803, Average Loss  0.868762, Time  0.266352
2021-09-16 07:23:51.125974 : Epoch  4, Batch    375, Loss  0.906950, Average Loss  0.869425, Time  0.241269
2021-09-16 07:23:53.348087 : Epoch  6, Batch    642, Loss  0.862581, Average Loss  0.868714, Time  0.265814
2021-09-16 07:23:53.744915 : Epoch  4, Batch    376, Loss  0.856339, Average Loss  0.869400, Time  0.240052
2021-09-16 07:23:56.342970 : Epoch  4, Batch    377, Loss  0.877892, Average Loss  0.869549, Time  0.240671
2021-09-16 07:23:56.368425 : Epoch  6, Batch    643, Loss  0.892869, Average Loss  0.868720, Time  0.266031
2021-09-16 07:23:58.948082 : Epoch  4, Batch    378, Loss  0.885272, Average Loss  0.869653, Time  0.240219
2021-09-16 07:23:59.363870 : Epoch  6, Batch    644, Loss  0.880155, Average Loss  0.868773, Time  0.265701
2021-09-16 07:24:01.553953 : Epoch  4, Batch    379, Loss  0.867154, Average Loss  0.869626, Time  0.240140
2021-09-16 07:24:02.371848 : Epoch  6, Batch    645, Loss  0.862706, Average Loss  0.868849, Time  0.267453
2021-09-16 07:24:04.160426 : Epoch  4, Batch    380, Loss  0.880853, Average Loss  0.869665, Time  0.240468
2021-09-16 07:24:05.366962 : Epoch  6, Batch    646, Loss  0.880113, Average Loss  0.868832, Time  0.265701
2021-09-16 07:24:06.769986 : Epoch  4, Batch    381, Loss  0.866775, Average Loss  0.869613, Time  0.240401
2021-09-16 07:24:08.394522 : Epoch  6, Batch    647, Loss  0.869497, Average Loss  0.868892, Time  0.266993
2021-09-16 07:24:09.378044 : Epoch  4, Batch    382, Loss  0.880645, Average Loss  0.869590, Time  0.240684
2021-09-16 07:24:11.387511 : Epoch  6, Batch    648, Loss  0.875192, Average Loss  0.868886, Time  0.266083
2021-09-16 07:24:11.970918 : Epoch  4, Batch    383, Loss  0.872703, Average Loss  0.869591, Time  0.240235
2021-09-16 07:24:14.411912 : Epoch  6, Batch    649, Loss  0.883263, Average Loss  0.868947, Time  0.266576
2021-09-16 07:24:14.578323 : Epoch  4, Batch    384, Loss  0.862933, Average Loss  0.869520, Time  0.240134
2021-09-16 07:24:17.186671 : Epoch  4, Batch    385, Loss  0.870122, Average Loss  0.869554, Time  0.241842
2021-09-16 07:24:17.450412 : Epoch  6, Batch    650, Loss  0.884007, Average Loss  0.869050, Time  0.266064
2021-09-16 07:24:19.799405 : Epoch  4, Batch    386, Loss  0.858489, Average Loss  0.869460, Time  0.239986
2021-09-16 07:24:20.444691 : Epoch  6, Batch    651, Loss  0.857745, Average Loss  0.868970, Time  0.265664
2021-09-16 07:24:22.404043 : Epoch  4, Batch    387, Loss  0.894188, Average Loss  0.869534, Time  0.240569
2021-09-16 07:24:23.451773 : Epoch  6, Batch    652, Loss  0.853823, Average Loss  0.868916, Time  0.277150
2021-09-16 07:24:25.022434 : Epoch  4, Batch    388, Loss  0.865133, Average Loss  0.869467, Time  0.240215
2021-09-16 07:24:26.447104 : Epoch  6, Batch    653, Loss  0.872564, Average Loss  0.868892, Time  0.266159
2021-09-16 07:24:27.635903 : Epoch  4, Batch    389, Loss  0.850904, Average Loss  0.869189, Time  0.241853
2021-09-16 07:24:29.466235 : Epoch  6, Batch    654, Loss  0.874200, Average Loss  0.868817, Time  0.266231
2021-09-16 07:24:30.240495 : Epoch  4, Batch    390, Loss  0.874772, Average Loss  0.869220, Time  0.239903
2021-09-16 07:24:32.471964 : Epoch  6, Batch    655, Loss  0.869462, Average Loss  0.868789, Time  0.265306
2021-09-16 07:24:32.849420 : Epoch  4, Batch    391, Loss  0.889871, Average Loss  0.869337, Time  0.240118
2021-09-16 07:24:35.445423 : Epoch  4, Batch    392, Loss  0.852864, Average Loss  0.869205, Time  0.240694
2021-09-16 07:24:35.451252 : Epoch  6, Batch    656, Loss  0.872557, Average Loss  0.868775, Time  0.264960
2021-09-16 07:24:38.040677 : Epoch  4, Batch    393, Loss  0.867233, Average Loss  0.869372, Time  0.240686
2021-09-16 07:24:38.482756 : Epoch  6, Batch    657, Loss  0.834529, Average Loss  0.868623, Time  0.266390
2021-09-16 07:24:40.658176 : Epoch  4, Batch    394, Loss  0.854097, Average Loss  0.869330, Time  0.241063
2021-09-16 07:24:41.516565 : Epoch  6, Batch    658, Loss  0.888936, Average Loss  0.868718, Time  0.265624
2021-09-16 07:24:43.256379 : Epoch  4, Batch    395, Loss  0.864143, Average Loss  0.869246, Time  0.240071
2021-09-16 07:24:44.542132 : Epoch  6, Batch    659, Loss  0.869956, Average Loss  0.868708, Time  0.265977
2021-09-16 07:24:45.865400 : Epoch  4, Batch    396, Loss  0.867332, Average Loss  0.869262, Time  0.240226
2021-09-16 07:24:47.559672 : Epoch  6, Batch    660, Loss  0.865416, Average Loss  0.868641, Time  0.265515
2021-09-16 07:24:48.467654 : Epoch  4, Batch    397, Loss  0.895734, Average Loss  0.869402, Time  0.239999
2021-09-16 07:24:50.557806 : Epoch  6, Batch    661, Loss  0.883454, Average Loss  0.868720, Time  0.267483
2021-09-16 07:24:51.069562 : Epoch  4, Batch    398, Loss  0.867041, Average Loss  0.869451, Time  0.241167
2021-09-16 07:24:53.568449 : Epoch  6, Batch    662, Loss  0.867391, Average Loss  0.868765, Time  0.266853
2021-09-16 07:24:53.676260 : Epoch  4, Batch    399, Loss  0.873131, Average Loss  0.869546, Time  0.240353
2021-09-16 07:24:56.267421 : Epoch  4, Batch    400, Loss  0.866208, Average Loss  0.869456, Time  0.239801
2021-09-16 07:24:56.582432 : Epoch  6, Batch    663, Loss  0.870630, Average Loss  0.868736, Time  0.267138
2021-09-16 07:24:58.878109 : Epoch  4, Batch    401, Loss  0.860920, Average Loss  0.869442, Time  0.240942
2021-09-16 07:24:59.588142 : Epoch  6, Batch    664, Loss  0.861409, Average Loss  0.868698, Time  0.265435
2021-09-16 07:25:01.493720 : Epoch  4, Batch    402, Loss  0.856640, Average Loss  0.869382, Time  0.239861
2021-09-16 07:25:02.572749 : Epoch  6, Batch    665, Loss  0.867249, Average Loss  0.868724, Time  0.265352
2021-09-16 07:25:04.098698 : Epoch  4, Batch    403, Loss  0.864160, Average Loss  0.869316, Time  0.240202
2021-09-16 07:25:05.571536 : Epoch  6, Batch    666, Loss  0.884358, Average Loss  0.868735, Time  0.266133
2021-09-16 07:25:06.737594 : Epoch  4, Batch    404, Loss  0.878828, Average Loss  0.869331, Time  0.242768
2021-09-16 07:25:08.643922 : Epoch  6, Batch    667, Loss  0.870218, Average Loss  0.868774, Time  0.275213
2021-09-16 07:25:09.351037 : Epoch  4, Batch    405, Loss  0.879191, Average Loss  0.869387, Time  0.240775
2021-09-16 07:25:11.707185 : Epoch  6, Batch    668, Loss  0.867984, Average Loss  0.868831, Time  0.265504
2021-09-16 07:25:11.949018 : Epoch  4, Batch    406, Loss  0.861263, Average Loss  0.869310, Time  0.239965
2021-09-16 07:25:14.543399 : Epoch  4, Batch    407, Loss  0.860444, Average Loss  0.869230, Time  0.239978
2021-09-16 07:25:14.726993 : Epoch  6, Batch    669, Loss  0.894157, Average Loss  0.868968, Time  0.265334
2021-09-16 07:25:17.156353 : Epoch  4, Batch    408, Loss  0.862610, Average Loss  0.869223, Time  0.240070
2021-09-16 07:25:17.707477 : Epoch  6, Batch    670, Loss  0.869026, Average Loss  0.869003, Time  0.265544
2021-09-16 07:25:19.763028 : Epoch  4, Batch    409, Loss  0.869731, Average Loss  0.869229, Time  0.239849
2021-09-16 07:25:20.713955 : Epoch  6, Batch    671, Loss  0.864169, Average Loss  0.869102, Time  0.266593
2021-09-16 07:25:22.371690 : Epoch  4, Batch    410, Loss  0.872424, Average Loss  0.869199, Time  0.241735
2021-09-16 07:25:23.703931 : Epoch  6, Batch    672, Loss  0.881374, Average Loss  0.869030, Time  0.266026
2021-09-16 07:25:24.991207 : Epoch  4, Batch    411, Loss  0.875285, Average Loss  0.869204, Time  0.240995
2021-09-16 07:25:26.716620 : Epoch  6, Batch    673, Loss  0.877784, Average Loss  0.869013, Time  0.265192
2021-09-16 07:25:27.587677 : Epoch  4, Batch    412, Loss  0.849839, Average Loss  0.869022, Time  0.240200
2021-09-16 07:25:29.706377 : Epoch  6, Batch    674, Loss  0.879331, Average Loss  0.869107, Time  0.265647
2021-09-16 07:25:30.204589 : Epoch  4, Batch    413, Loss  0.858288, Average Loss  0.869019, Time  0.240566
2021-09-16 07:25:32.711740 : Epoch  6, Batch    675, Loss  0.875768, Average Loss  0.869026, Time  0.265949
2021-09-16 07:25:32.795679 : Epoch  4, Batch    414, Loss  0.859676, Average Loss  0.868995, Time  0.240296
2021-09-16 07:25:35.404911 : Epoch  4, Batch    415, Loss  0.881023, Average Loss  0.869080, Time  0.240969
2021-09-16 07:25:35.695879 : Epoch  6, Batch    676, Loss  0.874969, Average Loss  0.869123, Time  0.267334
2021-09-16 07:25:38.011892 : Epoch  4, Batch    416, Loss  0.875943, Average Loss  0.869145, Time  0.240501
2021-09-16 07:25:38.716216 : Epoch  6, Batch    677, Loss  0.863000, Average Loss  0.869123, Time  0.265635
2021-09-16 07:25:40.623400 : Epoch  4, Batch    417, Loss  0.878969, Average Loss  0.869134, Time  0.242085
2021-09-16 07:25:41.707853 : Epoch  6, Batch    678, Loss  0.907282, Average Loss  0.869385, Time  0.266874
2021-09-16 07:25:43.227455 : Epoch  4, Batch    418, Loss  0.882774, Average Loss  0.869164, Time  0.240811
2021-09-16 07:25:44.724001 : Epoch  6, Batch    679, Loss  0.872463, Average Loss  0.869427, Time  0.265453
2021-09-16 07:25:45.825900 : Epoch  4, Batch    419, Loss  0.901308, Average Loss  0.869345, Time  0.241131
2021-09-16 07:25:47.717003 : Epoch  6, Batch    680, Loss  0.871360, Average Loss  0.869476, Time  0.267738
2021-09-16 07:25:48.431108 : Epoch  4, Batch    420, Loss  0.857168, Average Loss  0.869292, Time  0.240090
2021-09-16 07:25:50.729732 : Epoch  6, Batch    681, Loss  0.875950, Average Loss  0.869562, Time  0.267154
2021-09-16 07:25:51.040434 : Epoch  4, Batch    421, Loss  0.871696, Average Loss  0.869264, Time  0.241400
2021-09-16 07:25:53.636633 : Epoch  4, Batch    422, Loss  0.861292, Average Loss  0.869270, Time  0.243623
2021-09-16 07:25:53.779083 : Epoch  6, Batch    682, Loss  0.866120, Average Loss  0.869494, Time  0.274759
2021-09-16 07:25:56.243447 : Epoch  4, Batch    423, Loss  0.871359, Average Loss  0.869368, Time  0.241066
2021-09-16 07:25:56.784640 : Epoch  6, Batch    683, Loss  0.847979, Average Loss  0.869394, Time  0.268083
2021-09-16 07:25:58.852008 : Epoch  4, Batch    424, Loss  0.882004, Average Loss  0.869418, Time  0.240649
2021-09-16 07:25:59.780889 : Epoch  6, Batch    684, Loss  0.857423, Average Loss  0.869386, Time  0.265498
2021-09-16 07:26:01.454148 : Epoch  4, Batch    425, Loss  0.850329, Average Loss  0.869218, Time  0.240278
2021-09-16 07:26:02.784412 : Epoch  6, Batch    685, Loss  0.867320, Average Loss  0.869322, Time  0.266483
2021-09-16 07:26:04.066402 : Epoch  4, Batch    426, Loss  0.865987, Average Loss  0.869239, Time  0.240341
2021-09-16 07:26:05.790432 : Epoch  6, Batch    686, Loss  0.858980, Average Loss  0.869206, Time  0.265358
2021-09-16 07:26:06.678340 : Epoch  4, Batch    427, Loss  0.850629, Average Loss  0.869155, Time  0.240093
2021-09-16 07:26:08.798474 : Epoch  6, Batch    687, Loss  0.909675, Average Loss  0.869380, Time  0.265681
2021-09-16 07:26:09.284071 : Epoch  4, Batch    428, Loss  0.866192, Average Loss  0.869154, Time  0.240217
2021-09-16 07:26:11.812250 : Epoch  6, Batch    688, Loss  0.859334, Average Loss  0.869242, Time  0.265388
2021-09-16 07:26:11.886065 : Epoch  4, Batch    429, Loss  0.876211, Average Loss  0.869149, Time  0.241260
2021-09-16 07:26:14.482645 : Epoch  4, Batch    430, Loss  0.876356, Average Loss  0.869154, Time  0.241177
2021-09-16 07:26:14.829578 : Epoch  6, Batch    689, Loss  0.873174, Average Loss  0.869258, Time  0.265198
2021-09-16 07:26:17.082818 : Epoch  4, Batch    431, Loss  0.870086, Average Loss  0.869172, Time  0.240763
2021-09-16 07:26:17.807495 : Epoch  6, Batch    690, Loss  0.858995, Average Loss  0.869183, Time  0.266044
2021-09-16 07:26:20.832276 : Epoch  6, Batch    691, Loss  0.884038, Average Loss  0.869262, Time  0.265976
2021-09-16 07:26:23.838516 : Epoch  6, Batch    692, Loss  0.860471, Average Loss  0.869192, Time  0.265886
2021-09-16 07:26:26.865265 : Epoch  6, Batch    693, Loss  0.862286, Average Loss  0.869172, Time  0.265151
2021-09-16 07:26:28.476194 : Epoch  4, Batch    432, Loss  0.841519, Average Loss  0.869107, Time  0.271690
2021-09-16 07:26:29.881758 : Epoch  6, Batch    694, Loss  0.865089, Average Loss  0.869260, Time  0.265828
2021-09-16 07:26:32.883385 : Epoch  6, Batch    695, Loss  0.871606, Average Loss  0.869295, Time  0.265764
2021-09-16 07:26:35.881797 : Epoch  6, Batch    696, Loss  0.864569, Average Loss  0.869329, Time  0.266585
2021-09-16 07:26:38.911148 : Epoch  6, Batch    697, Loss  0.871325, Average Loss  0.869396, Time  0.272746
2021-09-16 07:26:41.895579 : Epoch  6, Batch    698, Loss  0.870828, Average Loss  0.869283, Time  0.266035
2021-09-16 07:26:44.886926 : Epoch  6, Batch    699, Loss  0.899498, Average Loss  0.869405, Time  0.264894
2021-09-16 07:26:47.870454 : Epoch  6, Batch    700, Loss  0.860043, Average Loss  0.869304, Time  0.266456
2021-09-16 07:26:50.874449 : Epoch  6, Batch    701, Loss  0.878366, Average Loss  0.869321, Time  0.266495
2021-09-16 07:26:53.847437 : Epoch  6, Batch    702, Loss  0.878713, Average Loss  0.869361, Time  0.265817
2021-09-16 07:26:56.840734 : Epoch  6, Batch    703, Loss  0.875617, Average Loss  0.869419, Time  0.267004
2021-09-16 07:26:59.814020 : Epoch  6, Batch    704, Loss  0.841613, Average Loss  0.869313, Time  0.266628
2021-09-16 07:27:02.823301 : Epoch  6, Batch    705, Loss  0.880520, Average Loss  0.869305, Time  0.266396
2021-09-16 07:27:05.841798 : Epoch  6, Batch    706, Loss  0.869836, Average Loss  0.869355, Time  0.265701
2021-09-16 07:27:08.855418 : Epoch  6, Batch    707, Loss  0.858399, Average Loss  0.869263, Time  0.265582
2021-09-16 07:27:11.851738 : Epoch  6, Batch    708, Loss  0.875393, Average Loss  0.869290, Time  0.265329
2021-09-16 07:27:14.913771 : Epoch  6, Batch    709, Loss  0.888477, Average Loss  0.869367, Time  0.266985
2021-09-16 07:27:17.937336 : Epoch  6, Batch    710, Loss  0.856268, Average Loss  0.869170, Time  0.266037
2021-09-16 07:27:20.941835 : Epoch  6, Batch    711, Loss  0.873529, Average Loss  0.869186, Time  0.265973
2021-09-16 07:27:23.981326 : Epoch  6, Batch    712, Loss  0.846161, Average Loss  0.869132, Time  0.276136
2021-09-16 07:27:27.005625 : Epoch  6, Batch    713, Loss  0.861344, Average Loss  0.869022, Time  0.265768
2021-09-16 07:27:30.005635 : Epoch  6, Batch    714, Loss  0.866511, Average Loss  0.868981, Time  0.266710
2021-09-16 07:27:33.026595 : Epoch  6, Batch    715, Loss  0.861541, Average Loss  0.868903, Time  0.265804
2021-09-16 07:27:36.011752 : Epoch  6, Batch    716, Loss  0.856343, Average Loss  0.868929, Time  0.265238
2021-09-16 07:27:39.018307 : Epoch  6, Batch    717, Loss  0.856607, Average Loss  0.868758, Time  0.266018
2021-09-16 07:27:42.005387 : Epoch  6, Batch    718, Loss  0.860822, Average Loss  0.868770, Time  0.265724
2021-09-16 07:27:45.013113 : Epoch  6, Batch    719, Loss  0.866766, Average Loss  0.868847, Time  0.265992
2021-09-16 07:27:56.076483 : Epoch  6, Batch    720, Loss  0.881383, Average Loss  0.868852, Time  0.266720
2021-09-16 07:30:29.815761 : CheckPoint: Validation Loss  0.00030562, Best Loss  0.00029226
2021-09-16 07:30:32.420136 : Epoch  4, Batch    433, Loss  0.867414, Average Loss  0.869104, Time  0.241671
2021-09-16 07:30:35.011875 : Epoch  4, Batch    434, Loss  0.893566, Average Loss  0.869264, Time  0.241169
2021-09-16 07:30:37.599878 : Epoch  4, Batch    435, Loss  0.881532, Average Loss  0.869295, Time  0.240832
2021-09-16 07:30:40.191368 : Epoch  4, Batch    436, Loss  0.872067, Average Loss  0.869260, Time  0.241199
2021-09-16 07:30:42.775611 : Epoch  4, Batch    437, Loss  0.862167, Average Loss  0.869170, Time  0.240799
2021-09-16 07:30:45.358942 : Epoch  4, Batch    438, Loss  0.864822, Average Loss  0.869073, Time  0.240423
2021-09-16 07:30:47.946944 : Epoch  4, Batch    439, Loss  0.875825, Average Loss  0.869206, Time  0.239914
2021-09-16 07:30:50.551394 : Epoch  4, Batch    440, Loss  0.887461, Average Loss  0.869317, Time  0.240064
2021-09-16 07:30:53.132836 : Epoch  4, Batch    441, Loss  0.874688, Average Loss  0.869359, Time  0.239876
2021-09-16 07:30:55.715240 : Epoch  4, Batch    442, Loss  0.859947, Average Loss  0.869277, Time  0.240561
2021-09-16 07:30:58.294589 : Epoch  4, Batch    443, Loss  0.849220, Average Loss  0.869250, Time  0.239969
2021-09-16 07:31:00.872174 : Epoch  4, Batch    444, Loss  0.871804, Average Loss  0.869356, Time  0.240061
2021-09-16 07:31:03.458016 : Epoch  4, Batch    445, Loss  0.855013, Average Loss  0.869340, Time  0.239825
2021-09-16 07:31:06.035248 : Epoch  4, Batch    446, Loss  0.882276, Average Loss  0.869384, Time  0.240045
2021-09-16 07:31:08.624532 : Epoch  4, Batch    447, Loss  0.848087, Average Loss  0.869345, Time  0.239856
2021-09-16 07:31:11.217985 : Epoch  4, Batch    448, Loss  0.872047, Average Loss  0.869444, Time  0.241844
2021-09-16 07:31:13.801078 : Epoch  4, Batch    449, Loss  0.863436, Average Loss  0.869462, Time  0.240032
2021-09-16 07:31:16.382592 : Epoch  4, Batch    450, Loss  0.864631, Average Loss  0.869356, Time  0.240794
2021-09-16 07:31:18.962421 : Epoch  4, Batch    451, Loss  0.873943, Average Loss  0.869403, Time  0.239992
2021-09-16 07:31:21.541014 : Epoch  4, Batch    452, Loss  0.876332, Average Loss  0.869449, Time  0.240200
2021-09-16 07:31:24.121905 : Epoch  4, Batch    453, Loss  0.904875, Average Loss  0.869631, Time  0.239958
2021-09-16 07:31:26.712940 : Epoch  4, Batch    454, Loss  0.874110, Average Loss  0.869664, Time  0.240469
2021-09-16 07:31:29.291159 : Epoch  4, Batch    455, Loss  0.876747, Average Loss  0.869778, Time  0.239974
2021-09-16 07:31:31.886902 : Epoch  4, Batch    456, Loss  0.869156, Average Loss  0.869915, Time  0.240124
2021-09-16 07:31:34.474935 : Epoch  4, Batch    457, Loss  0.850165, Average Loss  0.869749, Time  0.239872
2021-09-16 07:31:37.062742 : Epoch  4, Batch    458, Loss  0.882365, Average Loss  0.869953, Time  0.241425
2021-09-16 07:31:39.639788 : Epoch  4, Batch    459, Loss  0.868404, Average Loss  0.869971, Time  0.239929
2021-09-16 07:31:42.228441 : Epoch  4, Batch    460, Loss  0.876042, Average Loss  0.869979, Time  0.239926
2021-09-16 07:31:44.815302 : Epoch  4, Batch    461, Loss  0.866109, Average Loss  0.869873, Time  0.239748
2021-09-16 07:31:47.394370 : Epoch  4, Batch    462, Loss  0.843251, Average Loss  0.869779, Time  0.240102
2021-09-16 07:31:49.975855 : Epoch  4, Batch    463, Loss  0.867720, Average Loss  0.869731, Time  0.240215
2021-09-16 07:31:52.558420 : Epoch  4, Batch    464, Loss  0.854127, Average Loss  0.869732, Time  0.240537
2021-09-16 07:31:55.135743 : Epoch  4, Batch    465, Loss  0.861225, Average Loss  0.869779, Time  0.239511
2021-09-16 07:31:57.737720 : Epoch  4, Batch    466, Loss  0.860584, Average Loss  0.869740, Time  0.240499
2021-09-16 07:32:00.340307 : Epoch  4, Batch    467, Loss  0.885017, Average Loss  0.869837, Time  0.241157
2021-09-16 07:32:02.930425 : Epoch  4, Batch    468, Loss  0.860145, Average Loss  0.869870, Time  0.240713
2021-09-16 07:32:05.511111 : Epoch  4, Batch    469, Loss  0.888691, Average Loss  0.870007, Time  0.240258
2021-09-16 07:32:08.093898 : Epoch  4, Batch    470, Loss  0.861939, Average Loss  0.869989, Time  0.240211
2021-09-16 07:32:10.682163 : Epoch  4, Batch    471, Loss  0.891375, Average Loss  0.870066, Time  0.242398
2021-09-16 07:32:13.264583 : Epoch  4, Batch    472, Loss  0.870921, Average Loss  0.869986, Time  0.240382
2021-09-16 07:32:15.845103 : Epoch  4, Batch    473, Loss  0.869949, Average Loss  0.869928, Time  0.240577
2021-09-16 07:32:18.440005 : Epoch  4, Batch    474, Loss  0.868186, Average Loss  0.869924, Time  0.240470
2021-09-16 07:32:21.029233 : Epoch  4, Batch    475, Loss  0.861946, Average Loss  0.869965, Time  0.240227
2021-09-16 07:32:23.619110 : Epoch  4, Batch    476, Loss  0.878356, Average Loss  0.869995, Time  0.240258
2021-09-16 07:32:26.208199 : Epoch  4, Batch    477, Loss  0.875148, Average Loss  0.870035, Time  0.240976
2021-09-16 07:32:28.797392 : Epoch  4, Batch    478, Loss  0.873902, Average Loss  0.869932, Time  0.240774
2021-09-16 07:32:31.386182 : Epoch  4, Batch    479, Loss  0.855590, Average Loss  0.869727, Time  0.241713
2021-09-16 07:32:33.976081 : Epoch  4, Batch    480, Loss  0.851784, Average Loss  0.869539, Time  0.242016
2021-09-16 07:32:35.554441 : CheckPoint: Validation Loss  0.00029699, Best Loss  0.00029295
2021-09-16 07:32:36.560861 : Epoch  4, Batch    481, Loss  0.851756, Average Loss  0.869453, Time  0.239916
2021-09-16 07:32:38.555487 : Epoch  6, Batch    721, Loss  0.843695, Average Loss  0.868740, Time  0.266822
2021-09-16 07:32:39.153093 : Epoch  4, Batch    482, Loss  0.855278, Average Loss  0.869326, Time  0.240190
2021-09-16 07:32:41.541729 : Epoch  6, Batch    722, Loss  0.863071, Average Loss  0.868678, Time  0.266526
2021-09-16 07:32:41.739296 : Epoch  4, Batch    483, Loss  0.883309, Average Loss  0.869469, Time  0.241901
2021-09-16 07:32:44.317400 : Epoch  4, Batch    484, Loss  0.858327, Average Loss  0.869414, Time  0.241397
2021-09-16 07:32:44.554077 : Epoch  6, Batch    723, Loss  0.870274, Average Loss  0.868684, Time  0.275666
2021-09-16 07:32:46.907420 : Epoch  4, Batch    485, Loss  0.864943, Average Loss  0.869497, Time  0.239705
2021-09-16 07:32:47.546622 : Epoch  6, Batch    724, Loss  0.875627, Average Loss  0.868779, Time  0.265401
2021-09-16 07:32:49.491394 : Epoch  4, Batch    486, Loss  0.861342, Average Loss  0.869422, Time  0.239921
2021-09-16 07:32:50.549797 : Epoch  6, Batch    725, Loss  0.861039, Average Loss  0.868696, Time  0.267144
2021-09-16 07:32:52.087088 : Epoch  4, Batch    487, Loss  0.861241, Average Loss  0.869418, Time  0.240840
2021-09-16 07:32:53.553425 : Epoch  6, Batch    726, Loss  0.879401, Average Loss  0.868717, Time  0.264480
2021-09-16 07:32:54.677053 : Epoch  4, Batch    488, Loss  0.883942, Average Loss  0.869274, Time  0.239980
2021-09-16 07:32:56.572007 : Epoch  6, Batch    727, Loss  0.860481, Average Loss  0.868612, Time  0.266613
2021-09-16 07:32:57.264365 : Epoch  4, Batch    489, Loss  0.863841, Average Loss  0.869227, Time  0.239886
2021-09-16 07:32:59.579563 : Epoch  6, Batch    728, Loss  0.872204, Average Loss  0.868576, Time  0.266220
2021-09-16 07:32:59.844383 : Epoch  4, Batch    490, Loss  0.862541, Average Loss  0.869073, Time  0.239856
2021-09-16 07:33:02.414202 : Epoch  4, Batch    491, Loss  0.901842, Average Loss  0.869169, Time  0.240545
2021-09-16 07:33:02.563921 : Epoch  6, Batch    729, Loss  0.890318, Average Loss  0.868659, Time  0.266225
2021-09-16 07:33:04.999238 : Epoch  4, Batch    492, Loss  0.872580, Average Loss  0.869240, Time  0.239896
2021-09-16 07:33:05.572810 : Epoch  6, Batch    730, Loss  0.877124, Average Loss  0.868772, Time  0.266033
2021-09-16 07:33:07.585008 : Epoch  4, Batch    493, Loss  0.878413, Average Loss  0.869290, Time  0.240894
2021-09-16 07:33:08.575777 : Epoch  6, Batch    731, Loss  0.888156, Average Loss  0.868862, Time  0.266320
2021-09-16 07:33:10.180828 : Epoch  4, Batch    494, Loss  0.855893, Average Loss  0.869211, Time  0.240307
2021-09-16 07:33:11.566443 : Epoch  6, Batch    732, Loss  0.856702, Average Loss  0.868870, Time  0.265358
2021-09-16 07:33:12.770045 : Epoch  4, Batch    495, Loss  0.883474, Average Loss  0.869254, Time  0.241261
2021-09-16 07:33:14.550292 : Epoch  6, Batch    733, Loss  0.881629, Average Loss  0.868989, Time  0.265264
2021-09-16 07:33:15.363121 : Epoch  4, Batch    496, Loss  0.854697, Average Loss  0.869253, Time  0.240272
2021-09-16 07:33:17.535035 : Epoch  6, Batch    734, Loss  0.857584, Average Loss  0.868888, Time  0.265237
2021-09-16 07:33:17.949422 : Epoch  4, Batch    497, Loss  0.868259, Average Loss  0.869155, Time  0.241208
2021-09-16 07:33:20.524785 : Epoch  6, Batch    735, Loss  0.868089, Average Loss  0.868876, Time  0.265992
2021-09-16 07:33:20.529294 : Epoch  4, Batch    498, Loss  0.860063, Average Loss  0.869057, Time  0.240376
2021-09-16 07:33:23.153174 : Epoch  4, Batch    499, Loss  0.874679, Average Loss  0.869015, Time  0.240150
2021-09-16 07:33:23.556059 : Epoch  6, Batch    736, Loss  0.886171, Average Loss  0.869040, Time  0.267190
2021-09-16 07:33:25.743424 : Epoch  4, Batch    500, Loss  0.863875, Average Loss  0.869086, Time  0.240594
2021-09-16 07:33:26.542874 : Epoch  6, Batch    737, Loss  0.888452, Average Loss  0.869204, Time  0.267960
2021-09-16 07:33:28.340822 : Epoch  4, Batch    501, Loss  0.844019, Average Loss  0.868907, Time  0.240023
2021-09-16 07:33:29.626845 : Epoch  6, Batch    738, Loss  0.850832, Average Loss  0.869097, Time  0.276838
2021-09-16 07:33:30.930739 : Epoch  4, Batch    502, Loss  0.855558, Average Loss  0.868839, Time  0.239861
2021-09-16 07:33:32.660940 : Epoch  6, Batch    739, Loss  0.867527, Average Loss  0.869189, Time  0.266620
2021-09-16 07:33:33.512884 : Epoch  4, Batch    503, Loss  0.858775, Average Loss  0.868898, Time  0.240063
2021-09-16 07:33:35.646436 : Epoch  6, Batch    740, Loss  0.868070, Average Loss  0.869234, Time  0.265224
2021-09-16 07:33:36.108730 : Epoch  4, Batch    504, Loss  0.858777, Average Loss  0.868817, Time  0.240035
2021-09-16 07:33:38.622722 : Epoch  6, Batch    741, Loss  0.850795, Average Loss  0.869223, Time  0.266053
2021-09-16 07:33:38.692916 : Epoch  4, Batch    505, Loss  0.864112, Average Loss  0.868863, Time  0.244821
2021-09-16 07:33:41.276876 : Epoch  4, Batch    506, Loss  0.855874, Average Loss  0.868834, Time  0.239966
2021-09-16 07:33:41.641232 : Epoch  6, Batch    742, Loss  0.870736, Average Loss  0.869299, Time  0.265632
2021-09-16 07:33:43.861955 : Epoch  4, Batch    507, Loss  0.881984, Average Loss  0.868855, Time  0.240055
2021-09-16 07:33:44.671737 : Epoch  6, Batch    743, Loss  0.869110, Average Loss  0.869311, Time  0.265659
2021-09-16 07:33:46.437900 : Epoch  4, Batch    508, Loss  0.841519, Average Loss  0.868660, Time  0.239790
2021-09-16 07:33:47.671062 : Epoch  6, Batch    744, Loss  0.856468, Average Loss  0.869195, Time  0.266456
2021-09-16 07:33:49.020113 : Epoch  4, Batch    509, Loss  0.857768, Average Loss  0.868608, Time  0.240045
2021-09-16 07:33:50.702346 : Epoch  6, Batch    745, Loss  0.873602, Average Loss  0.869051, Time  0.266905
2021-09-16 07:33:51.597630 : Epoch  4, Batch    510, Loss  0.872877, Average Loss  0.868618, Time  0.239896
2021-09-16 07:33:53.703812 : Epoch  6, Batch    746, Loss  0.876476, Average Loss  0.869107, Time  0.265617
2021-09-16 07:33:54.181901 : Epoch  4, Batch    511, Loss  0.885287, Average Loss  0.868732, Time  0.239939
2021-09-16 07:33:56.709086 : Epoch  6, Batch    747, Loss  0.873898, Average Loss  0.869130, Time  0.265530
2021-09-16 07:33:56.753417 : Epoch  4, Batch    512, Loss  0.863312, Average Loss  0.868829, Time  0.240077
2021-09-16 07:33:59.338926 : Epoch  4, Batch    513, Loss  0.866307, Average Loss  0.868786, Time  0.239956
2021-09-16 07:33:59.720792 : Epoch  6, Batch    748, Loss  0.860352, Average Loss  0.868970, Time  0.265015
2021-09-16 07:34:01.926390 : Epoch  4, Batch    514, Loss  0.852836, Average Loss  0.868761, Time  0.240228
2021-09-16 07:34:02.713473 : Epoch  6, Batch    749, Loss  0.886206, Average Loss  0.869046, Time  0.265246
2021-09-16 07:34:04.511421 : Epoch  4, Batch    515, Loss  0.880147, Average Loss  0.868922, Time  0.239824
2021-09-16 07:34:05.731428 : Epoch  6, Batch    750, Loss  0.871157, Average Loss  0.869139, Time  0.265560
2021-09-16 07:34:07.108806 : Epoch  4, Batch    516, Loss  0.884713, Average Loss  0.869062, Time  0.240390
2021-09-16 07:34:08.716436 : Epoch  6, Batch    751, Loss  0.882304, Average Loss  0.869254, Time  0.265482
2021-09-16 07:34:09.721198 : Epoch  4, Batch    517, Loss  0.846449, Average Loss  0.868903, Time  0.242305
2021-09-16 07:34:11.712818 : Epoch  6, Batch    752, Loss  0.876894, Average Loss  0.869310, Time  0.264930
2021-09-16 07:34:12.304385 : Epoch  4, Batch    518, Loss  0.877565, Average Loss  0.868983, Time  0.241042
2021-09-16 07:34:14.729170 : Epoch  6, Batch    753, Loss  0.863657, Average Loss  0.869250, Time  0.277239
2021-09-16 07:34:14.895093 : Epoch  4, Batch    519, Loss  0.894508, Average Loss  0.869038, Time  0.242406
2021-09-16 07:34:17.474624 : Epoch  4, Batch    520, Loss  0.876621, Average Loss  0.869049, Time  0.240550
2021-09-16 07:34:17.725100 : Epoch  6, Batch    754, Loss  0.881263, Average Loss  0.869245, Time  0.267812
2021-09-16 07:34:20.060483 : Epoch  4, Batch    521, Loss  0.872595, Average Loss  0.869152, Time  0.241213
2021-09-16 07:34:20.697613 : Epoch  6, Batch    755, Loss  0.897149, Average Loss  0.869308, Time  0.266747
2021-09-16 07:34:22.655974 : Epoch  4, Batch    522, Loss  0.868781, Average Loss  0.869242, Time  0.240315
2021-09-16 07:34:23.731991 : Epoch  6, Batch    756, Loss  0.860641, Average Loss  0.869134, Time  0.265063
2021-09-16 07:34:25.243857 : Epoch  4, Batch    523, Loss  0.874157, Average Loss  0.869253, Time  0.241878
2021-09-16 07:34:26.721125 : Epoch  6, Batch    757, Loss  0.881673, Average Loss  0.869220, Time  0.267551
2021-09-16 07:34:27.838198 : Epoch  4, Batch    524, Loss  0.857254, Average Loss  0.869211, Time  0.241414
2021-09-16 07:34:29.712216 : Epoch  6, Batch    758, Loss  0.872282, Average Loss  0.869209, Time  0.265321
2021-09-16 07:34:30.431032 : Epoch  4, Batch    525, Loss  0.866117, Average Loss  0.869149, Time  0.240420
2021-09-16 07:34:32.691521 : Epoch  6, Batch    759, Loss  0.885003, Average Loss  0.869313, Time  0.267169
2021-09-16 07:34:33.018420 : Epoch  4, Batch    526, Loss  0.860101, Average Loss  0.869154, Time  0.240591
2021-09-16 07:34:35.597814 : Epoch  4, Batch    527, Loss  0.888379, Average Loss  0.869184, Time  0.241574
2021-09-16 07:34:35.668627 : Epoch  6, Batch    760, Loss  0.866234, Average Loss  0.869191, Time  0.265592
2021-09-16 07:34:38.183407 : Epoch  4, Batch    528, Loss  0.887539, Average Loss  0.869319, Time  0.239640
2021-09-16 07:34:38.648300 : Epoch  6, Batch    761, Loss  0.864318, Average Loss  0.869133, Time  0.265628
2021-09-16 07:34:40.765305 : Epoch  4, Batch    529, Loss  0.849339, Average Loss  0.869183, Time  0.239932
2021-09-16 07:34:41.624429 : Epoch  6, Batch    762, Loss  0.872281, Average Loss  0.869128, Time  0.265735
2021-09-16 07:34:43.353775 : Epoch  4, Batch    530, Loss  0.873963, Average Loss  0.869363, Time  0.244532
2021-09-16 07:34:44.661743 : Epoch  6, Batch    763, Loss  0.859734, Average Loss  0.869106, Time  0.265687
2021-09-16 07:34:45.941398 : Epoch  4, Batch    531, Loss  0.867181, Average Loss  0.869342, Time  0.239883
2021-09-16 07:34:47.670203 : Epoch  6, Batch    764, Loss  0.864066, Average Loss  0.869205, Time  0.265898
2021-09-16 07:34:48.530074 : Epoch  4, Batch    532, Loss  0.880536, Average Loss  0.869468, Time  0.240102
2021-09-16 07:34:50.702457 : Epoch  6, Batch    765, Loss  0.870396, Average Loss  0.869218, Time  0.265239
2021-09-16 07:34:53.729180 : Epoch  6, Batch    766, Loss  0.880811, Average Loss  0.869200, Time  0.267172
2021-09-16 07:34:56.749094 : Epoch  6, Batch    767, Loss  0.879184, Average Loss  0.869293, Time  0.266930
2021-09-16 07:34:59.739940 : Epoch  6, Batch    768, Loss  0.867430, Average Loss  0.869377, Time  0.275548
2021-09-16 07:35:02.721311 : Epoch  6, Batch    769, Loss  0.865578, Average Loss  0.869186, Time  0.265253
2021-09-16 07:35:05.722782 : Epoch  6, Batch    770, Loss  0.857951, Average Loss  0.869135, Time  0.265149
2021-09-16 07:35:08.720453 : Epoch  6, Batch    771, Loss  0.878866, Average Loss  0.869152, Time  0.267076
2021-09-16 07:35:11.708557 : Epoch  6, Batch    772, Loss  0.872593, Average Loss  0.869175, Time  0.264371
2021-09-16 07:35:14.682229 : Epoch  6, Batch    773, Loss  0.886257, Average Loss  0.869240, Time  0.266639
2021-09-16 07:35:17.701744 : Epoch  6, Batch    774, Loss  0.866988, Average Loss  0.869278, Time  0.266338
2021-09-16 07:35:20.707559 : Epoch  6, Batch    775, Loss  0.873606, Average Loss  0.869367, Time  0.265366
2021-09-16 07:35:23.736652 : Epoch  6, Batch    776, Loss  0.846400, Average Loss  0.869304, Time  0.267375
2021-09-16 07:35:26.746304 : Epoch  6, Batch    777, Loss  0.860372, Average Loss  0.869356, Time  0.266717
2021-09-16 07:35:29.722082 : Epoch  6, Batch    778, Loss  0.857265, Average Loss  0.869348, Time  0.265396
2021-09-16 07:35:32.695661 : Epoch  6, Batch    779, Loss  0.871642, Average Loss  0.869405, Time  0.265594
2021-09-16 07:35:35.678096 : Epoch  6, Batch    780, Loss  0.861681, Average Loss  0.869354, Time  0.266481
2021-09-16 07:35:38.677985 : Epoch  6, Batch    781, Loss  0.879116, Average Loss  0.869495, Time  0.265365
2021-09-16 07:35:41.654609 : Epoch  6, Batch    782, Loss  0.857393, Average Loss  0.869444, Time  0.266307
2021-09-16 07:35:44.653214 : Epoch  6, Batch    783, Loss  0.888412, Average Loss  0.869505, Time  0.277270
2021-09-16 07:35:47.647359 : Epoch  6, Batch    784, Loss  0.855379, Average Loss  0.869298, Time  0.266100
2021-09-16 07:35:50.672647 : Epoch  6, Batch    785, Loss  0.886118, Average Loss  0.869450, Time  0.266694
2021-09-16 07:35:53.650180 : Epoch  6, Batch    786, Loss  0.859038, Average Loss  0.869399, Time  0.265448
2021-09-16 07:35:56.644007 : Epoch  6, Batch    787, Loss  0.872379, Average Loss  0.869436, Time  0.265834
2021-09-16 07:35:59.667642 : Epoch  6, Batch    788, Loss  0.852608, Average Loss  0.869388, Time  0.266553
2021-09-16 07:36:02.669972 : Epoch  6, Batch    789, Loss  0.871857, Average Loss  0.869455, Time  0.266387
2021-09-16 07:36:05.685242 : Epoch  6, Batch    790, Loss  0.845414, Average Loss  0.869318, Time  0.266608
2021-09-16 07:36:08.668491 : Epoch  6, Batch    791, Loss  0.864863, Average Loss  0.869242, Time  0.264775
2021-09-16 07:36:11.644763 : Epoch  6, Batch    792, Loss  0.886264, Average Loss  0.869341, Time  0.265569
2021-09-16 07:36:14.663426 : Epoch  6, Batch    793, Loss  0.879165, Average Loss  0.869462, Time  0.267085
2021-09-16 07:36:17.669166 : Epoch  6, Batch    794, Loss  0.869896, Average Loss  0.869467, Time  0.266085
2021-09-16 07:36:20.657155 : Epoch  6, Batch    795, Loss  0.853188, Average Loss  0.869450, Time  0.265671
2021-09-16 07:36:23.682708 : Epoch  6, Batch    796, Loss  0.859193, Average Loss  0.869269, Time  0.265249
2021-09-16 07:36:26.663142 : Epoch  6, Batch    797, Loss  0.878765, Average Loss  0.869401, Time  0.265860
2021-09-16 07:36:29.655979 : Epoch  6, Batch    798, Loss  0.870959, Average Loss  0.869454, Time  0.276381
2021-09-16 07:36:32.690677 : Epoch  6, Batch    799, Loss  0.879031, Average Loss  0.869508, Time  0.270327
2021-09-16 07:36:35.690103 : Epoch  6, Batch    800, Loss  0.853531, Average Loss  0.869432, Time  0.266528
2021-09-16 07:36:38.711707 : Epoch  6, Batch    801, Loss  0.870535, Average Loss  0.869418, Time  0.266805
2021-09-16 07:36:41.715533 : Epoch  6, Batch    802, Loss  0.851063, Average Loss  0.869354, Time  0.267032
2021-09-16 07:36:44.726846 : Epoch  6, Batch    803, Loss  0.885173, Average Loss  0.869466, Time  0.265919
2021-09-16 07:36:47.742754 : Epoch  6, Batch    804, Loss  0.875735, Average Loss  0.869441, Time  0.266369
2021-09-16 07:36:50.742479 : Epoch  6, Batch    805, Loss  0.864583, Average Loss  0.869505, Time  0.265908
2021-09-16 07:36:53.724362 : Epoch  6, Batch    806, Loss  0.856979, Average Loss  0.869496, Time  0.265542
2021-09-16 07:36:56.720292 : Epoch  6, Batch    807, Loss  0.854764, Average Loss  0.869524, Time  0.265390
2021-09-16 07:36:59.724283 : Epoch  6, Batch    808, Loss  0.854393, Average Loss  0.869421, Time  0.266232
2021-09-16 07:37:02.740968 : Epoch  6, Batch    809, Loss  0.860023, Average Loss  0.869347, Time  0.266642
2021-09-16 07:37:05.753337 : Epoch  6, Batch    810, Loss  0.889450, Average Loss  0.869584, Time  0.264851
2021-09-16 07:37:08.744891 : Epoch  6, Batch    811, Loss  0.877745, Average Loss  0.869683, Time  0.265297
2021-09-16 07:37:11.738916 : Epoch  6, Batch    812, Loss  0.854209, Average Loss  0.869807, Time  0.265638
2021-09-16 07:37:14.735914 : Epoch  6, Batch    813, Loss  0.854937, Average Loss  0.869716, Time  0.278306
2021-09-16 07:37:17.755379 : Epoch  6, Batch    814, Loss  0.871922, Average Loss  0.869787, Time  0.265412
2021-09-16 07:37:20.742375 : Epoch  6, Batch    815, Loss  0.841895, Average Loss  0.869672, Time  0.265325
2021-09-16 07:37:23.743099 : Epoch  6, Batch    816, Loss  0.882178, Average Loss  0.869730, Time  0.265625
2021-09-16 07:37:26.752162 : Epoch  6, Batch    817, Loss  0.859363, Average Loss  0.869642, Time  0.266595
2021-09-16 07:37:29.767747 : Epoch  6, Batch    818, Loss  0.862962, Average Loss  0.869479, Time  0.267659
2021-09-16 07:37:32.761503 : Epoch  6, Batch    819, Loss  0.877595, Average Loss  0.869439, Time  0.265658
2021-09-16 07:37:35.777494 : Epoch  6, Batch    820, Loss  0.856348, Average Loss  0.869386, Time  0.266030
2021-09-16 07:38:51.546756 : CheckPoint: Validation Loss  0.00030372, Best Loss  0.00029226
2021-09-16 07:38:54.172012 : Epoch  4, Batch    533, Loss  0.866950, Average Loss  0.869460, Time  0.279115
2021-09-16 07:38:56.755410 : Epoch  4, Batch    534, Loss  0.864753, Average Loss  0.869508, Time  0.254056
2021-09-16 07:38:59.350789 : Epoch  4, Batch    535, Loss  0.855337, Average Loss  0.869431, Time  0.241181
2021-09-16 07:39:01.951600 : Epoch  4, Batch    536, Loss  0.841813, Average Loss  0.869306, Time  0.241457
2021-09-16 07:39:04.525905 : Epoch  4, Batch    537, Loss  0.874906, Average Loss  0.869340, Time  0.240920
2021-09-16 07:39:07.105041 : Epoch  4, Batch    538, Loss  0.888488, Average Loss  0.869301, Time  0.241138
2021-09-16 07:39:09.683139 : Epoch  4, Batch    539, Loss  0.864116, Average Loss  0.869291, Time  0.240635
2021-09-16 07:39:12.254025 : Epoch  4, Batch    540, Loss  0.862836, Average Loss  0.869319, Time  0.240043
2021-09-16 07:39:14.831057 : Epoch  4, Batch    541, Loss  0.853922, Average Loss  0.869303, Time  0.239642
2021-09-16 07:39:17.415416 : Epoch  4, Batch    542, Loss  0.881964, Average Loss  0.869390, Time  0.240825
2021-09-16 07:39:19.994759 : Epoch  4, Batch    543, Loss  0.852747, Average Loss  0.869377, Time  0.240166
2021-09-16 07:39:22.565696 : Epoch  4, Batch    544, Loss  0.863487, Average Loss  0.869299, Time  0.240357
2021-09-16 07:39:25.140825 : Epoch  4, Batch    545, Loss  0.880236, Average Loss  0.869390, Time  0.243158
2021-09-16 07:39:27.706282 : Epoch  4, Batch    546, Loss  0.867751, Average Loss  0.869277, Time  0.240103
2021-09-16 07:39:30.273050 : Epoch  4, Batch    547, Loss  0.880844, Average Loss  0.869364, Time  0.240745
2021-09-16 07:39:32.848737 : Epoch  4, Batch    548, Loss  0.864965, Average Loss  0.869326, Time  0.240705
2021-09-16 07:39:35.420123 : Epoch  4, Batch    549, Loss  0.869953, Average Loss  0.869326, Time  0.240831
2021-09-16 07:39:37.990990 : Epoch  4, Batch    550, Loss  0.870538, Average Loss  0.869302, Time  0.241067
2021-09-16 07:39:40.574892 : Epoch  4, Batch    551, Loss  0.863439, Average Loss  0.869305, Time  0.240798
2021-09-16 07:39:43.167408 : Epoch  4, Batch    552, Loss  0.875210, Average Loss  0.869412, Time  0.243383
2021-09-16 07:39:45.749974 : Epoch  4, Batch    553, Loss  0.854813, Average Loss  0.869291, Time  0.241776
2021-09-16 07:39:48.331011 : Epoch  4, Batch    554, Loss  0.877653, Average Loss  0.869381, Time  0.240136
2021-09-16 07:39:50.906896 : Epoch  4, Batch    555, Loss  0.854324, Average Loss  0.869233, Time  0.240730
2021-09-16 07:39:53.487247 : Epoch  4, Batch    556, Loss  0.867553, Average Loss  0.869120, Time  0.240263
2021-09-16 07:39:56.061075 : Epoch  4, Batch    557, Loss  0.869560, Average Loss  0.869017, Time  0.240378
2021-09-16 07:39:58.637994 : Epoch  4, Batch    558, Loss  0.875044, Average Loss  0.868975, Time  0.243112
2021-09-16 07:40:01.220897 : Epoch  4, Batch    559, Loss  0.861183, Average Loss  0.868897, Time  0.242175
2021-09-16 07:40:03.795459 : Epoch  4, Batch    560, Loss  0.868812, Average Loss  0.868866, Time  0.239838
2021-09-16 07:40:06.382346 : Epoch  4, Batch    561, Loss  0.874748, Average Loss  0.868948, Time  0.240206
2021-09-16 07:40:08.955062 : Epoch  4, Batch    562, Loss  0.867844, Average Loss  0.868836, Time  0.241190
2021-09-16 07:40:11.523981 : Epoch  4, Batch    563, Loss  0.869017, Average Loss  0.868760, Time  0.239885
2021-09-16 07:40:14.106609 : Epoch  4, Batch    564, Loss  0.859925, Average Loss  0.868717, Time  0.244515
2021-09-16 07:40:16.676401 : Epoch  4, Batch    565, Loss  0.862835, Average Loss  0.868589, Time  0.240623
2021-09-16 07:40:19.252408 : Epoch  4, Batch    566, Loss  0.860500, Average Loss  0.868640, Time  0.240774
2021-09-16 07:40:21.829768 : Epoch  4, Batch    567, Loss  0.864444, Average Loss  0.868710, Time  0.239952
2021-09-16 07:40:24.408557 : Epoch  4, Batch    568, Loss  0.841222, Average Loss  0.868531, Time  0.240202
2021-09-16 07:40:26.989189 : Epoch  4, Batch    569, Loss  0.866611, Average Loss  0.868502, Time  0.241722
2021-09-16 07:40:29.561817 : Epoch  4, Batch    570, Loss  0.869764, Average Loss  0.868475, Time  0.240598
2021-09-16 07:40:32.121365 : Epoch  4, Batch    571, Loss  0.881417, Average Loss  0.868469, Time  0.239730
2021-09-16 07:40:34.696640 : Epoch  4, Batch    572, Loss  0.873486, Average Loss  0.868499, Time  0.239883
2021-09-16 07:40:37.272984 : Epoch  4, Batch    573, Loss  0.858774, Average Loss  0.868420, Time  0.242544
2021-09-16 07:40:39.844781 : Epoch  4, Batch    574, Loss  0.860920, Average Loss  0.868465, Time  0.241745
2021-09-16 07:40:42.412026 : Epoch  4, Batch    575, Loss  0.865263, Average Loss  0.868256, Time  0.240196
2021-09-16 07:40:44.999937 : Epoch  4, Batch    576, Loss  0.890356, Average Loss  0.868427, Time  0.240623
2021-09-16 07:40:47.576927 : Epoch  4, Batch    577, Loss  0.866268, Average Loss  0.868368, Time  0.242057
2021-09-16 07:40:50.146386 : Epoch  4, Batch    578, Loss  0.866885, Average Loss  0.868276, Time  0.239520
2021-09-16 07:40:52.718990 : Epoch  4, Batch    579, Loss  0.847030, Average Loss  0.868176, Time  0.241323
2021-09-16 07:40:55.295590 : Epoch  4, Batch    580, Loss  0.857059, Average Loss  0.868057, Time  0.240630
2021-09-16 07:40:57.858309 : Epoch  4, Batch    581, Loss  0.888894, Average Loss  0.868167, Time  0.240532
2021-09-16 07:41:00.444940 : Epoch  4, Batch    582, Loss  0.856578, Average Loss  0.868047, Time  0.240764
2021-09-16 07:41:03.018205 : Epoch  4, Batch    583, Loss  0.902870, Average Loss  0.868198, Time  0.240206
2021-09-16 07:41:05.597579 : Epoch  4, Batch    584, Loss  0.866463, Average Loss  0.868216, Time  0.240063
2021-09-16 07:41:08.169964 : Epoch  4, Batch    585, Loss  0.897770, Average Loss  0.868354, Time  0.241004
2021-09-16 07:41:10.742646 : Epoch  4, Batch    586, Loss  0.880971, Average Loss  0.868466, Time  0.239594
2021-09-16 07:41:13.328569 : Epoch  4, Batch    587, Loss  0.864174, Average Loss  0.868316, Time  0.240985
2021-09-16 07:41:15.909160 : Epoch  4, Batch    588, Loss  0.846007, Average Loss  0.868221, Time  0.240795
2021-09-16 07:41:18.478179 : Epoch  4, Batch    589, Loss  0.874679, Average Loss  0.868339, Time  0.240026
2021-09-16 07:41:21.046040 : Epoch  4, Batch    590, Loss  0.880979, Average Loss  0.868371, Time  0.239999
2021-09-16 07:41:23.607139 : Epoch  4, Batch    591, Loss  0.874494, Average Loss  0.868294, Time  0.240055
2021-09-16 07:41:26.177264 : Epoch  4, Batch    592, Loss  0.859769, Average Loss  0.868328, Time  0.240325
2021-09-16 07:41:28.749995 : Epoch  4, Batch    593, Loss  0.870476, Average Loss  0.868344, Time  0.240187
2021-09-16 07:41:31.330231 : Epoch  4, Batch    594, Loss  0.887630, Average Loss  0.868512, Time  0.240498
2021-09-16 07:41:33.904056 : Epoch  4, Batch    595, Loss  0.879488, Average Loss  0.868589, Time  0.240268
2021-09-16 07:41:36.476146 : Epoch  4, Batch    596, Loss  0.879517, Average Loss  0.868650, Time  0.240163
2021-09-16 07:41:39.059027 : Epoch  4, Batch    597, Loss  0.845991, Average Loss  0.868401, Time  0.240358
2021-09-16 07:41:41.643036 : Epoch  4, Batch    598, Loss  0.850260, Average Loss  0.868317, Time  0.239828
2021-09-16 07:41:44.260311 : Epoch  4, Batch    599, Loss  0.862154, Average Loss  0.868262, Time  0.254409
2021-09-16 07:41:46.846381 : Epoch  4, Batch    600, Loss  0.859318, Average Loss  0.868228, Time  0.241146
2021-09-16 07:41:49.429027 : Epoch  4, Batch    601, Loss  0.856311, Average Loss  0.868205, Time  0.240410
2021-09-16 07:41:52.014936 : Epoch  4, Batch    602, Loss  0.868150, Average Loss  0.868262, Time  0.240683
2021-09-16 07:41:54.608534 : Epoch  4, Batch    603, Loss  0.873933, Average Loss  0.868311, Time  0.240611
2021-09-16 07:41:57.198430 : Epoch  4, Batch    604, Loss  0.884431, Average Loss  0.868339, Time  0.239640
2021-09-16 07:41:59.775802 : Epoch  4, Batch    605, Loss  0.861195, Average Loss  0.868249, Time  0.240454
2021-09-16 07:42:02.377058 : Epoch  4, Batch    606, Loss  0.898693, Average Loss  0.868436, Time  0.243378
2021-09-16 07:42:04.970981 : Epoch  4, Batch    607, Loss  0.860871, Average Loss  0.868438, Time  0.240240
2021-09-16 07:42:07.568426 : Epoch  4, Batch    608, Loss  0.883315, Average Loss  0.868542, Time  0.241311
2021-09-16 07:42:10.149916 : Epoch  4, Batch    609, Loss  0.855645, Average Loss  0.868471, Time  0.240366
2021-09-16 07:42:12.728874 : Epoch  4, Batch    610, Loss  0.857870, Average Loss  0.868399, Time  0.240087
2021-09-16 07:42:15.314632 : Epoch  4, Batch    611, Loss  0.869052, Average Loss  0.868368, Time  0.239931
2021-09-16 07:42:16.642548 : CheckPoint: Validation Loss  0.00030148, Best Loss  0.00029295
2021-09-16 07:42:17.896413 : Epoch  4, Batch    612, Loss  0.859462, Average Loss  0.868416, Time  0.239950
2021-09-16 07:42:19.648930 : Epoch  6, Batch    821, Loss  0.858301, Average Loss  0.869363, Time  0.267949
2021-09-16 07:42:20.479941 : Epoch  4, Batch    613, Loss  0.860849, Average Loss  0.868428, Time  0.240756
2021-09-16 07:42:22.659308 : Epoch  6, Batch    822, Loss  0.860227, Average Loss  0.869320, Time  0.265545
2021-09-16 07:42:23.057452 : Epoch  4, Batch    614, Loss  0.844451, Average Loss  0.868352, Time  0.241125
2021-09-16 07:42:25.623229 : Epoch  4, Batch    615, Loss  0.857562, Average Loss  0.868235, Time  0.240351
2021-09-16 07:42:25.663040 : Epoch  6, Batch    823, Loss  0.872701, Average Loss  0.869328, Time  0.266195
2021-09-16 07:42:28.201945 : Epoch  4, Batch    616, Loss  0.861856, Average Loss  0.868165, Time  0.240215
2021-09-16 07:42:28.662747 : Epoch  6, Batch    824, Loss  0.878388, Average Loss  0.869479, Time  0.265906
2021-09-16 07:42:30.772193 : Epoch  4, Batch    617, Loss  0.896340, Average Loss  0.868251, Time  0.240379
2021-09-16 07:42:31.636682 : Epoch  6, Batch    825, Loss  0.851851, Average Loss  0.869450, Time  0.265303
2021-09-16 07:42:33.358966 : Epoch  4, Batch    618, Loss  0.873018, Average Loss  0.868203, Time  0.240366
2021-09-16 07:42:34.645017 : Epoch  6, Batch    826, Loss  0.885796, Average Loss  0.869551, Time  0.275568
2021-09-16 07:42:35.936670 : Epoch  4, Batch    619, Loss  0.865166, Average Loss  0.868022, Time  0.239783
2021-09-16 07:42:37.633704 : Epoch  6, Batch    827, Loss  0.884005, Average Loss  0.869599, Time  0.266295
2021-09-16 07:42:38.511669 : Epoch  4, Batch    620, Loss  0.874356, Average Loss  0.868108, Time  0.240561
2021-09-16 07:42:40.629962 : Epoch  6, Batch    828, Loss  0.869561, Average Loss  0.869619, Time  0.266133
2021-09-16 07:42:41.091841 : Epoch  4, Batch    621, Loss  0.859650, Average Loss  0.868048, Time  0.240069
2021-09-16 07:42:43.631115 : Epoch  6, Batch    829, Loss  0.895292, Average Loss  0.869717, Time  0.265973
2021-09-16 07:42:43.672854 : Epoch  4, Batch    622, Loss  0.872294, Average Loss  0.868103, Time  0.241886
2021-09-16 07:42:46.256533 : Epoch  4, Batch    623, Loss  0.861557, Average Loss  0.868054, Time  0.243075
2021-09-16 07:42:46.606553 : Epoch  6, Batch    830, Loss  0.846626, Average Loss  0.869571, Time  0.265323
2021-09-16 07:42:48.837088 : Epoch  4, Batch    624, Loss  0.872875, Average Loss  0.868008, Time  0.240757
2021-09-16 07:42:49.603498 : Epoch  6, Batch    831, Loss  0.854270, Average Loss  0.869499, Time  0.265787
2021-09-16 07:42:51.419778 : Epoch  4, Batch    625, Loss  0.863874, Average Loss  0.868076, Time  0.240674
2021-09-16 07:42:52.598727 : Epoch  6, Batch    832, Loss  0.873079, Average Loss  0.869580, Time  0.266409
2021-09-16 07:42:53.991704 : Epoch  4, Batch    626, Loss  0.864540, Average Loss  0.868069, Time  0.241266
2021-09-16 07:42:55.592343 : Epoch  6, Batch    833, Loss  0.850487, Average Loss  0.869520, Time  0.265720
2021-09-16 07:42:56.585833 : Epoch  4, Batch    627, Loss  0.881967, Average Loss  0.868225, Time  0.241052
2021-09-16 07:42:58.619005 : Epoch  6, Batch    834, Loss  0.841994, Average Loss  0.869486, Time  0.266387
2021-09-16 07:42:59.170161 : Epoch  4, Batch    628, Loss  0.866263, Average Loss  0.868226, Time  0.242197
2021-09-16 07:43:01.625186 : Epoch  6, Batch    835, Loss  0.876522, Average Loss  0.869642, Time  0.266622
2021-09-16 07:43:01.745754 : Epoch  4, Batch    629, Loss  0.875161, Average Loss  0.868220, Time  0.240116
2021-09-16 07:43:04.334399 : Epoch  4, Batch    630, Loss  0.874233, Average Loss  0.868210, Time  0.240476
2021-09-16 07:43:04.653819 : Epoch  6, Batch    836, Loss  0.855798, Average Loss  0.869643, Time  0.266006
2021-09-16 07:43:06.910643 : Epoch  4, Batch    631, Loss  0.844017, Average Loss  0.868079, Time  0.240664
2021-09-16 07:43:07.630049 : Epoch  6, Batch    837, Loss  0.863520, Average Loss  0.869549, Time  0.266515
2021-09-16 07:43:09.500647 : Epoch  4, Batch    632, Loss  0.880276, Average Loss  0.868273, Time  0.240201
2021-09-16 07:43:10.615969 : Epoch  6, Batch    838, Loss  0.876793, Average Loss  0.869601, Time  0.265830
2021-09-16 07:43:13.627152 : Epoch  6, Batch    839, Loss  0.876017, Average Loss  0.869486, Time  0.266532
2021-09-16 07:43:16.613360 : Epoch  6, Batch    840, Loss  0.877058, Average Loss  0.869526, Time  0.265478
2021-09-16 07:43:19.642207 : Epoch  6, Batch    841, Loss  0.886280, Average Loss  0.869453, Time  0.271953
2021-09-16 07:43:22.684025 : Epoch  6, Batch    842, Loss  0.858822, Average Loss  0.869434, Time  0.265863
2021-09-16 07:43:25.689506 : Epoch  6, Batch    843, Loss  0.890652, Average Loss  0.869423, Time  0.265025
2021-09-16 07:43:28.685334 : Epoch  6, Batch    844, Loss  0.853860, Average Loss  0.869292, Time  0.265720
2021-09-16 07:43:31.712292 : Epoch  6, Batch    845, Loss  0.860514, Average Loss  0.869281, Time  0.266730
2021-09-16 07:43:34.700361 : Epoch  6, Batch    846, Loss  0.848100, Average Loss  0.869121, Time  0.266440
2021-09-16 07:43:37.682718 : Epoch  6, Batch    847, Loss  0.863105, Average Loss  0.869089, Time  0.265464
2021-09-16 07:43:40.690921 : Epoch  6, Batch    848, Loss  0.901691, Average Loss  0.869221, Time  0.266045
2021-09-16 07:43:43.685074 : Epoch  6, Batch    849, Loss  0.868200, Average Loss  0.869146, Time  0.266278
2021-09-16 07:43:46.696881 : Epoch  6, Batch    850, Loss  0.881428, Average Loss  0.869133, Time  0.265891
2021-09-16 07:43:49.683483 : Epoch  6, Batch    851, Loss  0.865900, Average Loss  0.869174, Time  0.266593
2021-09-16 07:43:52.691859 : Epoch  6, Batch    852, Loss  0.869662, Average Loss  0.869253, Time  0.265213
2021-09-16 07:43:55.688460 : Epoch  6, Batch    853, Loss  0.867332, Average Loss  0.869227, Time  0.265343
2021-09-16 07:43:58.695370 : Epoch  6, Batch    854, Loss  0.847322, Average Loss  0.869092, Time  0.266563
2021-09-16 07:44:01.711016 : Epoch  6, Batch    855, Loss  0.857937, Average Loss  0.869035, Time  0.266331
2021-09-16 07:44:04.697850 : Epoch  6, Batch    856, Loss  0.889115, Average Loss  0.869118, Time  0.277013
2021-09-16 07:44:07.673645 : Epoch  6, Batch    857, Loss  0.854099, Average Loss  0.869215, Time  0.265667
2021-09-16 07:44:10.659152 : Epoch  6, Batch    858, Loss  0.869055, Average Loss  0.869116, Time  0.266273
2021-09-16 07:44:13.638114 : Epoch  6, Batch    859, Loss  0.884095, Average Loss  0.869187, Time  0.265947
2021-09-16 07:44:16.663512 : Epoch  6, Batch    860, Loss  0.853076, Average Loss  0.869125, Time  0.266327
2021-09-16 07:44:19.652864 : Epoch  6, Batch    861, Loss  0.872603, Average Loss  0.869071, Time  0.265591
2021-09-16 07:44:22.640381 : Epoch  6, Batch    862, Loss  0.867834, Average Loss  0.869073, Time  0.265529
2021-09-16 07:44:25.643637 : Epoch  6, Batch    863, Loss  0.877761, Average Loss  0.869109, Time  0.265988
2021-09-16 07:44:28.631932 : Epoch  6, Batch    864, Loss  0.876165, Average Loss  0.869182, Time  0.265550
2021-09-16 07:44:31.607439 : Epoch  6, Batch    865, Loss  0.883690, Average Loss  0.869265, Time  0.265388
2021-09-16 07:44:34.586174 : Epoch  6, Batch    866, Loss  0.851831, Average Loss  0.869102, Time  0.265189
2021-09-16 07:44:37.597689 : Epoch  6, Batch    867, Loss  0.874982, Average Loss  0.869126, Time  0.266561
2021-09-16 07:44:40.598772 : Epoch  6, Batch    868, Loss  0.887320, Average Loss  0.869222, Time  0.265554
2021-09-16 07:44:43.578879 : Epoch  6, Batch    869, Loss  0.871152, Average Loss  0.869107, Time  0.265698
2021-09-16 07:44:46.575767 : Epoch  6, Batch    870, Loss  0.888330, Average Loss  0.869204, Time  0.265042
2021-09-16 07:44:49.567156 : Epoch  6, Batch    871, Loss  0.868761, Average Loss  0.869227, Time  0.279065
2021-09-16 07:44:52.560070 : Epoch  6, Batch    872, Loss  0.880953, Average Loss  0.869225, Time  0.267402
2021-09-16 07:44:55.562454 : Epoch  6, Batch    873, Loss  0.855463, Average Loss  0.869113, Time  0.265896
2021-09-16 07:44:58.574098 : Epoch  6, Batch    874, Loss  0.859335, Average Loss  0.869013, Time  0.265380
2021-09-16 07:45:01.580523 : Epoch  6, Batch    875, Loss  0.875823, Average Loss  0.869014, Time  0.266143
2021-09-16 07:45:04.582379 : Epoch  6, Batch    876, Loss  0.873419, Average Loss  0.869006, Time  0.267159
2021-09-16 07:45:07.580518 : Epoch  6, Batch    877, Loss  0.867295, Average Loss  0.869027, Time  0.266378
2021-09-16 07:45:10.608006 : Epoch  6, Batch    878, Loss  0.878449, Average Loss  0.868883, Time  0.267659
2021-09-16 07:45:13.621825 : Epoch  6, Batch    879, Loss  0.873820, Average Loss  0.868890, Time  0.265288
2021-09-16 07:45:16.619914 : Epoch  6, Batch    880, Loss  0.843037, Average Loss  0.868748, Time  0.266623
2021-09-16 07:45:19.634822 : Epoch  6, Batch    881, Loss  0.866737, Average Loss  0.868702, Time  0.266320
2021-09-16 07:45:22.642339 : Epoch  6, Batch    882, Loss  0.861576, Average Loss  0.868679, Time  0.265347
2021-09-16 07:45:25.633088 : Epoch  6, Batch    883, Loss  0.880875, Average Loss  0.868844, Time  0.266187
2021-09-16 07:45:28.608491 : Epoch  6, Batch    884, Loss  0.868996, Average Loss  0.868902, Time  0.265703
2021-09-16 07:45:31.585266 : Epoch  6, Batch    885, Loss  0.862470, Average Loss  0.868878, Time  0.266208
2021-09-16 07:45:34.578320 : Epoch  6, Batch    886, Loss  0.880064, Average Loss  0.868983, Time  0.278312
2021-09-16 07:45:37.563360 : Epoch  6, Batch    887, Loss  0.869027, Average Loss  0.868780, Time  0.265062
2021-09-16 07:45:40.533717 : Epoch  6, Batch    888, Loss  0.859773, Average Loss  0.868782, Time  0.264913
2021-09-16 07:45:43.512703 : Epoch  6, Batch    889, Loss  0.861775, Average Loss  0.868725, Time  0.266190
2021-09-16 07:45:46.518950 : Epoch  6, Batch    890, Loss  0.842354, Average Loss  0.868642, Time  0.265285
2021-09-16 07:45:49.552182 : Epoch  6, Batch    891, Loss  0.865276, Average Loss  0.868548, Time  0.266674
2021-09-16 07:45:52.507203 : Epoch  6, Batch    892, Loss  0.877561, Average Loss  0.868633, Time  0.265105
2021-09-16 07:45:55.493548 : Epoch  6, Batch    893, Loss  0.864423, Average Loss  0.868644, Time  0.265832
2021-09-16 07:45:58.449111 : Epoch  6, Batch    894, Loss  0.838564, Average Loss  0.868511, Time  0.265804
2021-09-16 07:46:01.458004 : Epoch  6, Batch    895, Loss  0.884715, Average Loss  0.868577, Time  0.265586
2021-09-16 07:46:04.432207 : Epoch  6, Batch    896, Loss  0.873072, Average Loss  0.868620, Time  0.266647
2021-09-16 07:46:07.407447 : Epoch  6, Batch    897, Loss  0.894852, Average Loss  0.868737, Time  0.264936
2021-09-16 07:46:10.380197 : Epoch  6, Batch    898, Loss  0.857527, Average Loss  0.868671, Time  0.267071
2021-09-16 07:46:13.356345 : Epoch  6, Batch    899, Loss  0.860433, Average Loss  0.868475, Time  0.266015
2021-09-16 07:46:16.356524 : Epoch  6, Batch    900, Loss  0.883335, Average Loss  0.868592, Time  0.265382
2021-09-16 07:46:19.344746 : Epoch  6, Batch    901, Loss  0.871864, Average Loss  0.868559, Time  0.276967
2021-09-16 07:46:22.323798 : Epoch  6, Batch    902, Loss  0.880699, Average Loss  0.868569, Time  0.267226
2021-09-16 07:46:25.307993 : Epoch  6, Batch    903, Loss  0.871296, Average Loss  0.868548, Time  0.265598
2021-09-16 07:46:28.280987 : Epoch  6, Batch    904, Loss  0.875268, Average Loss  0.868716, Time  0.265449
2021-09-16 07:46:31.257110 : Epoch  6, Batch    905, Loss  0.875616, Average Loss  0.868691, Time  0.266124
2021-09-16 07:46:34.242560 : Epoch  6, Batch    906, Loss  0.883632, Average Loss  0.868760, Time  0.266032
2021-09-16 07:46:37.237553 : Epoch  6, Batch    907, Loss  0.844626, Average Loss  0.868691, Time  0.265124
2021-09-16 07:46:40.213790 : Epoch  6, Batch    908, Loss  0.863133, Average Loss  0.868630, Time  0.265546
2021-09-16 07:46:41.662148 : Epoch  6, Batch    909, Loss  0.895524, Average Loss  0.868665, Time  0.165020
2021-09-16 07:46:44.649193 : Epoch  6, Batch    910, Loss  0.856918, Average Loss  0.868669, Time  0.266078
2021-09-16 07:46:47.628058 : Epoch  6, Batch    911, Loss  0.860374, Average Loss  0.868603, Time  0.265599
2021-09-16 07:46:50.603611 : Epoch  6, Batch    912, Loss  0.841996, Average Loss  0.868582, Time  0.265438
2021-09-16 07:46:53.580780 : Epoch  6, Batch    913, Loss  0.874483, Average Loss  0.868648, Time  0.263774
2021-09-16 07:46:56.591890 : Epoch  6, Batch    914, Loss  0.875024, Average Loss  0.868690, Time  0.265253
2021-09-16 07:46:59.581559 : Epoch  6, Batch    915, Loss  0.886646, Average Loss  0.868816, Time  0.266091
2021-09-16 07:47:02.564525 : Epoch  6, Batch    916, Loss  0.879514, Average Loss  0.868932, Time  0.267068
2021-09-16 07:47:05.565939 : Epoch  6, Batch    917, Loss  0.842284, Average Loss  0.868860, Time  0.275468
2021-09-16 07:47:08.626059 : Epoch  6, Batch    918, Loss  0.853549, Average Loss  0.868824, Time  0.267758
2021-09-16 07:47:11.666397 : Epoch  6, Batch    919, Loss  0.859234, Average Loss  0.868786, Time  0.267886
2021-09-16 07:47:12.971775 : CheckPoint: Validation Loss  0.00030025, Best Loss  0.00029226
2021-09-16 07:47:14.665980 : Epoch  6, Batch    920, Loss  0.867473, Average Loss  0.868716, Time  0.266875
2021-09-16 07:47:15.612065 : Epoch  4, Batch    633, Loss  0.880137, Average Loss  0.868337, Time  0.271839
2021-09-16 07:47:18.229829 : Epoch  4, Batch    634, Loss  0.864291, Average Loss  0.868190, Time  0.257993
2021-09-16 07:47:20.831148 : Epoch  4, Batch    635, Loss  0.885574, Average Loss  0.868211, Time  0.243179
2021-09-16 07:47:23.448122 : Epoch  4, Batch    636, Loss  0.874466, Average Loss  0.868223, Time  0.240501
2021-09-16 07:47:26.051636 : Epoch  4, Batch    637, Loss  0.877070, Average Loss  0.868297, Time  0.240979
2021-09-16 07:47:28.639603 : Epoch  4, Batch    638, Loss  0.858830, Average Loss  0.868267, Time  0.240586
2021-09-16 07:47:31.230187 : Epoch  4, Batch    639, Loss  0.864267, Average Loss  0.868209, Time  0.242021
2021-09-16 07:47:33.831945 : Epoch  4, Batch    640, Loss  0.856928, Average Loss  0.868057, Time  0.240335
2021-09-16 07:47:36.419816 : Epoch  4, Batch    641, Loss  0.858746, Average Loss  0.867977, Time  0.240951
2021-09-16 07:47:39.014417 : Epoch  4, Batch    642, Loss  0.866090, Average Loss  0.868008, Time  0.240147
2021-09-16 07:47:41.611880 : Epoch  4, Batch    643, Loss  0.865195, Average Loss  0.868088, Time  0.240222
2021-09-16 07:47:44.210233 : Epoch  4, Batch    644, Loss  0.887872, Average Loss  0.868168, Time  0.240372
2021-09-16 07:47:46.805007 : Epoch  4, Batch    645, Loss  0.885819, Average Loss  0.868322, Time  0.241540
2021-09-16 07:47:49.398832 : Epoch  4, Batch    646, Loss  0.867619, Average Loss  0.868249, Time  0.239995
2021-09-16 07:47:51.990948 : Epoch  4, Batch    647, Loss  0.894058, Average Loss  0.868479, Time  0.239926
2021-09-16 07:47:54.594235 : Epoch  4, Batch    648, Loss  0.858136, Average Loss  0.868409, Time  0.240279
2021-09-16 07:47:57.187298 : Epoch  4, Batch    649, Loss  0.878793, Average Loss  0.868486, Time  0.240371
2021-09-16 07:47:59.780735 : Epoch  4, Batch    650, Loss  0.870228, Average Loss  0.868514, Time  0.240147
2021-09-16 07:48:02.379145 : Epoch  4, Batch    651, Loss  0.884183, Average Loss  0.868565, Time  0.240514
2021-09-16 07:48:04.976695 : Epoch  4, Batch    652, Loss  0.870139, Average Loss  0.868534, Time  0.240012
2021-09-16 07:48:07.563963 : Epoch  4, Batch    653, Loss  0.864192, Average Loss  0.868331, Time  0.239923
2021-09-16 07:48:10.143411 : Epoch  4, Batch    654, Loss  0.887990, Average Loss  0.868400, Time  0.240404
2021-09-16 07:48:12.736797 : Epoch  4, Batch    655, Loss  0.852827, Average Loss  0.868280, Time  0.239985
2021-09-16 07:48:15.320376 : Epoch  4, Batch    656, Loss  0.877585, Average Loss  0.868322, Time  0.240293
2021-09-16 07:48:17.945964 : Epoch  4, Batch    657, Loss  0.869709, Average Loss  0.868420, Time  0.241127
2021-09-16 07:48:20.529763 : Epoch  4, Batch    658, Loss  0.880263, Average Loss  0.868410, Time  0.240491
2021-09-16 07:48:23.131534 : Epoch  4, Batch    659, Loss  0.875970, Average Loss  0.868448, Time  0.242114
2021-09-16 07:48:25.726815 : Epoch  4, Batch    660, Loss  0.903275, Average Loss  0.868584, Time  0.240934
2021-09-16 07:48:28.326073 : Epoch  4, Batch    661, Loss  0.861456, Average Loss  0.868560, Time  0.240175
2021-09-16 07:48:30.920442 : Epoch  4, Batch    662, Loss  0.869876, Average Loss  0.868694, Time  0.241433
2021-09-16 07:48:33.501507 : Epoch  4, Batch    663, Loss  0.872802, Average Loss  0.868719, Time  0.240530
2021-09-16 07:48:36.087195 : Epoch  4, Batch    664, Loss  0.855581, Average Loss  0.868726, Time  0.240898
2021-09-16 07:48:38.680852 : Epoch  4, Batch    665, Loss  0.883031, Average Loss  0.868835, Time  0.240705
2021-09-16 07:48:41.278009 : Epoch  4, Batch    666, Loss  0.897725, Average Loss  0.869021, Time  0.241621
2021-09-16 07:48:43.871629 : Epoch  4, Batch    667, Loss  0.864790, Average Loss  0.868920, Time  0.240465
2021-09-16 07:48:46.460844 : Epoch  4, Batch    668, Loss  0.876987, Average Loss  0.869004, Time  0.240067
2021-09-16 07:48:49.053066 : Epoch  4, Batch    669, Loss  0.879445, Average Loss  0.868958, Time  0.239977
2021-09-16 07:48:51.640070 : Epoch  4, Batch    670, Loss  0.887286, Average Loss  0.869085, Time  0.239932
2021-09-16 07:48:54.239887 : Epoch  4, Batch    671, Loss  0.861983, Average Loss  0.868938, Time  0.241112
2021-09-16 07:48:56.831837 : Epoch  4, Batch    672, Loss  0.863955, Average Loss  0.868903, Time  0.240045
2021-09-16 07:48:59.429085 : Epoch  4, Batch    673, Loss  0.880568, Average Loss  0.868956, Time  0.241954
2021-09-16 07:49:02.016307 : Epoch  4, Batch    674, Loss  0.839696, Average Loss  0.868813, Time  0.239912
2021-09-16 07:49:04.631863 : Epoch  4, Batch    675, Loss  0.866408, Average Loss  0.868836, Time  0.244012
2021-09-16 07:49:07.233116 : Epoch  4, Batch    676, Loss  0.871737, Average Loss  0.868803, Time  0.240277
2021-09-16 07:49:09.837129 : Epoch  4, Batch    677, Loss  0.844825, Average Loss  0.868651, Time  0.241017
2021-09-16 07:49:12.416298 : Epoch  4, Batch    678, Loss  0.877699, Average Loss  0.868670, Time  0.239997
2021-09-16 07:49:15.006007 : Epoch  4, Batch    679, Loss  0.884125, Average Loss  0.868813, Time  0.240529
2021-09-16 07:49:17.603371 : Epoch  4, Batch    680, Loss  0.844369, Average Loss  0.868776, Time  0.240205
2021-09-16 07:49:20.194020 : Epoch  4, Batch    681, Loss  0.875513, Average Loss  0.868894, Time  0.240647
2021-09-16 07:49:22.786275 : Epoch  4, Batch    682, Loss  0.887304, Average Loss  0.869055, Time  0.240159
2021-09-16 07:49:25.387399 : Epoch  4, Batch    683, Loss  0.870787, Average Loss  0.868992, Time  0.241257
2021-09-16 07:49:27.979921 : Epoch  4, Batch    684, Loss  0.862130, Average Loss  0.869011, Time  0.240080
2021-09-16 07:49:30.569021 : Epoch  4, Batch    685, Loss  0.866804, Average Loss  0.869020, Time  0.241544
2021-09-16 07:49:33.155808 : Epoch  4, Batch    686, Loss  0.848632, Average Loss  0.868957, Time  0.242200
2021-09-16 07:49:35.745981 : Epoch  4, Batch    687, Loss  0.897790, Average Loss  0.869139, Time  0.239826
2021-09-16 07:49:38.342101 : Epoch  4, Batch    688, Loss  0.868590, Average Loss  0.869063, Time  0.240867
2021-09-16 07:49:40.951431 : Epoch  4, Batch    689, Loss  0.898136, Average Loss  0.869234, Time  0.240084
2021-09-16 07:49:43.553803 : Epoch  4, Batch    690, Loss  0.867542, Average Loss  0.869259, Time  0.240770
2021-09-16 07:49:46.152567 : Epoch  4, Batch    691, Loss  0.869966, Average Loss  0.869100, Time  0.240157
2021-09-16 07:49:48.753241 : Epoch  4, Batch    692, Loss  0.887785, Average Loss  0.869176, Time  0.240754
2021-09-16 07:49:51.347677 : Epoch  4, Batch    693, Loss  0.861288, Average Loss  0.869090, Time  0.240114
2021-09-16 07:49:53.931323 : Epoch  4, Batch    694, Loss  0.872667, Average Loss  0.869174, Time  0.239985
2021-09-16 07:49:56.528703 : Epoch  4, Batch    695, Loss  0.887205, Average Loss  0.869193, Time  0.240103
2021-09-16 07:49:59.127157 : Epoch  4, Batch    696, Loss  0.880939, Average Loss  0.869324, Time  0.240134
2021-09-16 07:50:01.738027 : Epoch  4, Batch    697, Loss  0.860515, Average Loss  0.869285, Time  0.241227
2021-09-16 07:50:04.338058 : Epoch  4, Batch    698, Loss  0.881847, Average Loss  0.869394, Time  0.240454
2021-09-16 07:50:06.925190 : Epoch  4, Batch    699, Loss  0.867029, Average Loss  0.869356, Time  0.242313
2021-09-16 07:50:09.519582 : Epoch  4, Batch    700, Loss  0.873036, Average Loss  0.869402, Time  0.239959
2021-09-16 07:50:12.108947 : Epoch  4, Batch    701, Loss  0.881699, Average Loss  0.869590, Time  0.240080
2021-09-16 07:50:14.690642 : Epoch  4, Batch    702, Loss  0.871598, Average Loss  0.869670, Time  0.239734
2021-09-16 07:50:17.277645 : Epoch  4, Batch    703, Loss  0.874160, Average Loss  0.869747, Time  0.239791
2021-09-16 07:50:19.866899 : Epoch  4, Batch    704, Loss  0.866812, Average Loss  0.869787, Time  0.240113
2021-09-16 07:50:22.464873 : Epoch  4, Batch    705, Loss  0.852931, Average Loss  0.869731, Time  0.240391
2021-09-16 07:50:25.068622 : Epoch  4, Batch    706, Loss  0.870011, Average Loss  0.869802, Time  0.240688
2021-09-16 07:50:27.668094 : Epoch  4, Batch    707, Loss  0.859862, Average Loss  0.869692, Time  0.239860
2021-09-16 07:50:30.264027 : Epoch  4, Batch    708, Loss  0.871591, Average Loss  0.869842, Time  0.240127
2021-09-16 07:50:32.861907 : Epoch  4, Batch    709, Loss  0.848611, Average Loss  0.869796, Time  0.242693
2021-09-16 07:50:35.461787 : Epoch  4, Batch    710, Loss  0.870216, Average Loss  0.869783, Time  0.240396
2021-09-16 07:50:38.056663 : Epoch  4, Batch    711, Loss  0.870407, Average Loss  0.869708, Time  0.239920
2021-09-16 07:50:40.649946 : Epoch  4, Batch    712, Loss  0.878175, Average Loss  0.869783, Time  0.240341
2021-09-16 07:50:43.255176 : Epoch  4, Batch    713, Loss  0.864381, Average Loss  0.869773, Time  0.241544
2021-09-16 07:50:45.840280 : Epoch  4, Batch    714, Loss  0.867378, Average Loss  0.869846, Time  0.240473
2021-09-16 07:50:48.428885 : Epoch  4, Batch    715, Loss  0.866511, Average Loss  0.869778, Time  0.240201
2021-09-16 07:50:51.021622 : Epoch  4, Batch    716, Loss  0.883266, Average Loss  0.869770, Time  0.239893
2021-09-16 07:50:53.611447 : Epoch  4, Batch    717, Loss  0.871060, Average Loss  0.869893, Time  0.240556
2021-09-16 07:50:56.203223 : Epoch  4, Batch    718, Loss  0.876116, Average Loss  0.869886, Time  0.240216
2021-09-16 07:50:58.799826 : Epoch  4, Batch    719, Loss  0.869331, Average Loss  0.869760, Time  0.239759
2021-09-16 07:51:01.405955 : Epoch  4, Batch    720, Loss  0.860860, Average Loss  0.869681, Time  0.241525
2021-09-16 07:51:03.999263 : Epoch  4, Batch    721, Loss  0.883010, Average Loss  0.869734, Time  0.240184
2021-09-16 07:51:06.590032 : Epoch  4, Batch    722, Loss  0.853225, Average Loss  0.869656, Time  0.240575
2021-09-16 07:51:09.174886 : Epoch  4, Batch    723, Loss  0.889133, Average Loss  0.869731, Time  0.239992
2021-09-16 07:51:11.773246 : Epoch  4, Batch    724, Loss  0.874091, Average Loss  0.869815, Time  0.240963
2021-09-16 07:51:14.364847 : Epoch  4, Batch    725, Loss  0.890308, Average Loss  0.869936, Time  0.239632
2021-09-16 07:51:16.963089 : Epoch  4, Batch    726, Loss  0.894132, Average Loss  0.870106, Time  0.240425
2021-09-16 07:51:19.556721 : Epoch  4, Batch    727, Loss  0.848207, Average Loss  0.869905, Time  0.239881
2021-09-16 07:51:22.151414 : Epoch  4, Batch    728, Loss  0.857546, Average Loss  0.869755, Time  0.241575
2021-09-16 07:51:24.751079 : Epoch  4, Batch    729, Loss  0.872391, Average Loss  0.869870, Time  0.240561
2021-09-16 07:51:27.348933 : Epoch  4, Batch    730, Loss  0.861588, Average Loss  0.869809, Time  0.241111
2021-09-16 07:51:29.943000 : Epoch  4, Batch    731, Loss  0.841486, Average Loss  0.869680, Time  0.240103
2021-09-16 07:51:32.540013 : Epoch  4, Batch    732, Loss  0.877950, Average Loss  0.869667, Time  0.242096
2021-09-16 07:51:56.739566 : CheckPoint: Validation Loss  0.00030114, Best Loss  0.00029295
2021-09-16 07:51:59.742607 : Epoch  6, Batch    921, Loss  0.860679, Average Loss  0.868801, Time  0.266546
2021-09-16 07:52:02.736325 : Epoch  6, Batch    922, Loss  0.868451, Average Loss  0.868828, Time  0.267067
2021-09-16 07:52:05.736746 : Epoch  6, Batch    923, Loss  0.874723, Average Loss  0.868851, Time  0.265059
2021-09-16 07:52:08.712616 : Epoch  6, Batch    924, Loss  0.883306, Average Loss  0.868889, Time  0.265290
2021-09-16 07:52:11.683802 : Epoch  6, Batch    925, Loss  0.891540, Average Loss  0.869041, Time  0.265469
2021-09-16 07:52:14.642898 : Epoch  6, Batch    926, Loss  0.887136, Average Loss  0.869080, Time  0.264938
2021-09-16 07:52:17.633043 : Epoch  6, Batch    927, Loss  0.872285, Average Loss  0.869139, Time  0.264983
2021-09-16 07:52:20.631712 : Epoch  6, Batch    928, Loss  0.877902, Average Loss  0.869168, Time  0.280540
2021-09-16 07:52:23.595948 : Epoch  6, Batch    929, Loss  0.891844, Average Loss  0.869175, Time  0.267141
2021-09-16 07:52:26.585308 : Epoch  6, Batch    930, Loss  0.842346, Average Loss  0.869001, Time  0.265445
2021-09-16 07:52:29.569198 : Epoch  6, Batch    931, Loss  0.857875, Average Loss  0.868850, Time  0.265093
2021-09-16 07:52:32.544658 : Epoch  6, Batch    932, Loss  0.842453, Average Loss  0.868779, Time  0.263723
2021-09-16 07:52:35.509831 : Epoch  6, Batch    933, Loss  0.848612, Average Loss  0.868614, Time  0.265522
2021-09-16 07:52:38.493040 : Epoch  6, Batch    934, Loss  0.873512, Average Loss  0.868693, Time  0.268319
2021-09-16 07:52:41.494965 : Epoch  6, Batch    935, Loss  0.859377, Average Loss  0.868650, Time  0.265211
2021-09-16 07:52:44.477693 : Epoch  6, Batch    936, Loss  0.855480, Average Loss  0.868496, Time  0.267163
2021-09-16 07:52:47.497363 : Epoch  6, Batch    937, Loss  0.854734, Average Loss  0.868328, Time  0.265367
2021-09-16 07:52:50.522274 : Epoch  6, Batch    938, Loss  0.851675, Average Loss  0.868332, Time  0.266493
2021-09-16 07:52:53.516935 : Epoch  6, Batch    939, Loss  0.862807, Average Loss  0.868308, Time  0.265742
2021-09-16 07:52:56.508784 : Epoch  6, Batch    940, Loss  0.890385, Average Loss  0.868420, Time  0.266269
2021-09-16 07:52:59.495179 : Epoch  6, Batch    941, Loss  0.854231, Average Loss  0.868437, Time  0.265999
2021-09-16 07:53:02.530366 : Epoch  6, Batch    942, Loss  0.856396, Average Loss  0.868365, Time  0.266076
2021-09-16 07:53:05.514733 : Epoch  6, Batch    943, Loss  0.855040, Average Loss  0.868295, Time  0.274613
2021-09-16 07:53:08.522819 : Epoch  6, Batch    944, Loss  0.876665, Average Loss  0.868396, Time  0.266393
2021-09-16 07:53:11.507351 : Epoch  6, Batch    945, Loss  0.867971, Average Loss  0.868368, Time  0.263875
2021-09-16 07:53:14.477529 : Epoch  6, Batch    946, Loss  0.861099, Average Loss  0.868291, Time  0.266211
2021-09-16 07:53:17.452961 : Epoch  6, Batch    947, Loss  0.862162, Average Loss  0.868232, Time  0.265749
2021-09-16 07:53:20.462736 : Epoch  6, Batch    948, Loss  0.857638, Average Loss  0.868219, Time  0.266729
2021-09-16 07:53:23.473391 : Epoch  6, Batch    949, Loss  0.876840, Average Loss  0.868172, Time  0.265278
2021-09-16 07:53:26.468735 : Epoch  6, Batch    950, Loss  0.867521, Average Loss  0.868154, Time  0.265944
2021-09-16 07:53:29.445411 : Epoch  6, Batch    951, Loss  0.863628, Average Loss  0.868060, Time  0.266392
2021-09-16 07:53:32.430146 : Epoch  6, Batch    952, Loss  0.866508, Average Loss  0.868008, Time  0.265108
2021-09-16 07:53:35.411382 : Epoch  6, Batch    953, Loss  0.859034, Average Loss  0.867985, Time  0.265414
2021-09-16 07:53:38.408138 : Epoch  6, Batch    954, Loss  0.860889, Average Loss  0.867883, Time  0.266752
2021-09-16 07:53:41.405873 : Epoch  6, Batch    955, Loss  0.898464, Average Loss  0.867890, Time  0.266849
2021-09-16 07:53:44.414522 : Epoch  6, Batch    956, Loss  0.849861, Average Loss  0.867836, Time  0.266628
2021-09-16 07:53:47.424978 : Epoch  6, Batch    957, Loss  0.878156, Average Loss  0.867818, Time  0.265736
2021-09-16 07:53:50.410072 : Epoch  6, Batch    958, Loss  0.857521, Average Loss  0.867745, Time  0.277894
2021-09-16 07:53:53.399213 : Epoch  6, Batch    959, Loss  0.877020, Average Loss  0.867705, Time  0.265837
2021-09-16 07:53:56.377436 : Epoch  6, Batch    960, Loss  0.871012, Average Loss  0.867729, Time  0.266660
2021-09-16 07:53:59.379259 : Epoch  6, Batch    961, Loss  0.858546, Average Loss  0.867700, Time  0.265650
2021-09-16 07:54:02.354007 : Epoch  6, Batch    962, Loss  0.852191, Average Loss  0.867599, Time  0.265602
2021-09-16 07:54:05.341514 : Epoch  6, Batch    963, Loss  0.864552, Average Loss  0.867623, Time  0.265114
2021-09-16 07:54:08.346480 : Epoch  6, Batch    964, Loss  0.870139, Average Loss  0.867654, Time  0.266085
2021-09-16 07:54:11.311026 : Epoch  6, Batch    965, Loss  0.874241, Average Loss  0.867673, Time  0.265624
2021-09-16 07:54:14.290272 : Epoch  6, Batch    966, Loss  0.862074, Average Loss  0.867579, Time  0.264863
2021-09-16 07:54:17.263896 : Epoch  6, Batch    967, Loss  0.861900, Average Loss  0.867493, Time  0.266385
2021-09-16 07:54:20.247884 : Epoch  6, Batch    968, Loss  0.877904, Average Loss  0.867545, Time  0.267379
2021-09-16 07:54:23.229578 : Epoch  6, Batch    969, Loss  0.873721, Average Loss  0.867586, Time  0.265550
2021-09-16 07:54:26.208454 : Epoch  6, Batch    970, Loss  0.865753, Average Loss  0.867625, Time  0.265071
2021-09-16 07:54:29.185935 : Epoch  6, Batch    971, Loss  0.869022, Average Loss  0.867576, Time  0.265125
2021-09-16 07:54:32.191729 : Epoch  6, Batch    972, Loss  0.858038, Average Loss  0.867503, Time  0.264976
2021-09-16 07:54:35.228457 : Epoch  6, Batch    973, Loss  0.846237, Average Loss  0.867303, Time  0.278855
2021-09-16 07:54:38.268006 : Epoch  6, Batch    974, Loss  0.857062, Average Loss  0.867253, Time  0.266886
2021-09-16 07:54:41.245978 : Epoch  6, Batch    975, Loss  0.872936, Average Loss  0.867250, Time  0.265655
2021-09-16 07:54:44.221141 : Epoch  6, Batch    976, Loss  0.885254, Average Loss  0.867444, Time  0.265711
2021-09-16 07:54:47.209911 : Epoch  6, Batch    977, Loss  0.872625, Average Loss  0.867505, Time  0.267089
2021-09-16 07:54:50.201914 : Epoch  6, Batch    978, Loss  0.863194, Average Loss  0.867535, Time  0.266533
2021-09-16 07:54:53.236276 : Epoch  6, Batch    979, Loss  0.885866, Average Loss  0.867606, Time  0.266392
2021-09-16 07:54:56.257344 : Epoch  6, Batch    980, Loss  0.868704, Average Loss  0.867641, Time  0.265997
2021-09-16 07:54:59.276540 : Epoch  6, Batch    981, Loss  0.874440, Average Loss  0.867618, Time  0.265759
2021-09-16 07:55:02.289219 : Epoch  6, Batch    982, Loss  0.867245, Average Loss  0.867667, Time  0.266050
2021-09-16 07:55:05.277466 : Epoch  6, Batch    983, Loss  0.848143, Average Loss  0.867466, Time  0.265141
2021-09-16 07:55:08.272478 : Epoch  6, Batch    984, Loss  0.858477, Average Loss  0.867481, Time  0.265505
2021-09-16 07:55:11.265906 : Epoch  6, Batch    985, Loss  0.873348, Average Loss  0.867418, Time  0.265365
2021-09-16 07:55:14.237441 : Epoch  6, Batch    986, Loss  0.889645, Average Loss  0.867571, Time  0.265134
2021-09-16 07:55:17.214294 : Epoch  6, Batch    987, Loss  0.884781, Average Loss  0.867633, Time  0.266727
2021-09-16 07:55:20.218932 : Epoch  6, Batch    988, Loss  0.859464, Average Loss  0.867667, Time  0.274984
2021-09-16 07:55:23.236921 : Epoch  6, Batch    989, Loss  0.880969, Average Loss  0.867712, Time  0.265411
2021-09-16 07:55:26.209571 : Epoch  6, Batch    990, Loss  0.861372, Average Loss  0.867792, Time  0.265576
2021-09-16 07:55:29.211533 : Epoch  6, Batch    991, Loss  0.861808, Average Loss  0.867777, Time  0.266167
2021-09-16 07:55:32.189651 : Epoch  6, Batch    992, Loss  0.860238, Average Loss  0.867647, Time  0.265079
2021-09-16 07:55:35.193762 : Epoch  6, Batch    993, Loss  0.857947, Average Loss  0.867541, Time  0.265855
2021-09-16 07:55:36.791758 : CheckPoint: Validation Loss  0.00030722, Best Loss  0.00029226
2021-09-16 07:55:38.210710 : Epoch  6, Batch    994, Loss  0.873261, Average Loss  0.867558, Time  0.266419
2021-09-16 07:55:39.436427 : Epoch  4, Batch    733, Loss  0.874006, Average Loss  0.869702, Time  0.270325
2021-09-16 07:55:41.188269 : Epoch  6, Batch    995, Loss  0.893957, Average Loss  0.867761, Time  0.266924
2021-09-16 07:55:42.035205 : Epoch  4, Batch    734, Loss  0.840120, Average Loss  0.869579, Time  0.247115
2021-09-16 07:55:44.182675 : Epoch  6, Batch    996, Loss  0.860437, Average Loss  0.867768, Time  0.265725
2021-09-16 07:55:44.623930 : Epoch  4, Batch    735, Loss  0.840192, Average Loss  0.869503, Time  0.240033
2021-09-16 07:55:47.164419 : Epoch  6, Batch    997, Loss  0.872238, Average Loss  0.867735, Time  0.265582
2021-09-16 07:55:47.215007 : Epoch  4, Batch    736, Loss  0.880318, Average Loss  0.869696, Time  0.239975
2021-09-16 07:55:49.813017 : Epoch  4, Batch    737, Loss  0.850542, Average Loss  0.869574, Time  0.239974
2021-09-16 07:55:50.150806 : Epoch  6, Batch    998, Loss  0.865773, Average Loss  0.867709, Time  0.265613
2021-09-16 07:55:52.418666 : Epoch  4, Batch    738, Loss  0.864096, Average Loss  0.869452, Time  0.240134
2021-09-16 07:55:53.118768 : Epoch  6, Batch    999, Loss  0.856407, Average Loss  0.867596, Time  0.266114
2021-09-16 07:55:55.013792 : Epoch  4, Batch    739, Loss  0.880029, Average Loss  0.869532, Time  0.239723
2021-09-16 07:55:56.096308 : Epoch  6, Batch   1000, Loss  0.859324, Average Loss  0.867625, Time  0.264894
2021-09-16 07:55:57.618410 : Epoch  4, Batch    740, Loss  0.860610, Average Loss  0.869521, Time  0.239881
2021-09-16 07:55:59.071934 : Epoch  6, Batch   1001, Loss  0.879779, Average Loss  0.867671, Time  0.265182
2021-09-16 07:56:00.210286 : Epoch  4, Batch    741, Loss  0.860384, Average Loss  0.869553, Time  0.239891
2021-09-16 07:56:02.062413 : Epoch  6, Batch   1002, Loss  0.864482, Average Loss  0.867738, Time  0.266023
2021-09-16 07:56:02.795258 : Epoch  4, Batch    742, Loss  0.853974, Average Loss  0.869413, Time  0.240849
2021-09-16 07:56:05.045023 : Epoch  6, Batch   1003, Loss  0.865244, Average Loss  0.867639, Time  0.265758
2021-09-16 07:56:05.381126 : Epoch  4, Batch    743, Loss  0.868944, Average Loss  0.869494, Time  0.240149
2021-09-16 07:56:07.960013 : Epoch  4, Batch    744, Loss  0.861855, Average Loss  0.869486, Time  0.240662
2021-09-16 07:56:08.050469 : Epoch  6, Batch   1004, Loss  0.869249, Average Loss  0.867606, Time  0.272666
2021-09-16 07:56:10.552852 : Epoch  4, Batch    745, Loss  0.867477, Average Loss  0.869422, Time  0.240995
2021-09-16 07:56:11.041562 : Epoch  6, Batch   1005, Loss  0.865790, Average Loss  0.867612, Time  0.265031
2021-09-16 07:56:13.146849 : Epoch  4, Batch    746, Loss  0.857414, Average Loss  0.869370, Time  0.240150
2021-09-16 07:56:14.037748 : Epoch  6, Batch   1006, Loss  0.852631, Average Loss  0.867590, Time  0.265862
2021-09-16 07:56:15.742850 : Epoch  4, Batch    747, Loss  0.887166, Average Loss  0.869402, Time  0.240673
2021-09-16 07:56:17.023961 : Epoch  6, Batch   1007, Loss  0.883306, Average Loss  0.867733, Time  0.265131
2021-09-16 07:56:18.329774 : Epoch  4, Batch    748, Loss  0.876642, Average Loss  0.869460, Time  0.240982
2021-09-16 07:56:20.000391 : Epoch  6, Batch   1008, Loss  0.855997, Average Loss  0.867741, Time  0.266927
2021-09-16 07:56:20.930945 : Epoch  4, Batch    749, Loss  0.856064, Average Loss  0.869391, Time  0.239913
2021-09-16 07:56:22.974392 : Epoch  6, Batch   1009, Loss  0.874603, Average Loss  0.867814, Time  0.265313
2021-09-16 07:56:23.514642 : Epoch  4, Batch    750, Loss  0.872592, Average Loss  0.869401, Time  0.240304
2021-09-16 07:56:25.951233 : Epoch  6, Batch   1010, Loss  0.884460, Average Loss  0.867789, Time  0.266751
2021-09-16 07:56:26.106579 : Epoch  4, Batch    751, Loss  0.859601, Average Loss  0.869382, Time  0.240934
2021-09-16 07:56:28.686988 : Epoch  4, Batch    752, Loss  0.850388, Average Loss  0.869258, Time  0.239961
2021-09-16 07:56:28.926803 : Epoch  6, Batch   1011, Loss  0.873627, Average Loss  0.867769, Time  0.264994
2021-09-16 07:56:31.280130 : Epoch  4, Batch    753, Loss  0.872638, Average Loss  0.869347, Time  0.241435
2021-09-16 07:56:31.936626 : Epoch  6, Batch   1012, Loss  0.867016, Average Loss  0.867833, Time  0.265326
2021-09-16 07:56:33.873151 : Epoch  4, Batch    754, Loss  0.879043, Average Loss  0.869354, Time  0.241132
2021-09-16 07:56:34.923963 : Epoch  6, Batch   1013, Loss  0.878444, Average Loss  0.867950, Time  0.265605
2021-09-16 07:56:36.470100 : Epoch  4, Batch    755, Loss  0.872230, Average Loss  0.869444, Time  0.240760
2021-09-16 07:56:37.906783 : Epoch  6, Batch   1014, Loss  0.889259, Average Loss  0.868037, Time  0.265849
2021-09-16 07:56:39.065806 : Epoch  4, Batch    756, Loss  0.859698, Average Loss  0.869404, Time  0.240703
2021-09-16 07:56:40.935916 : Epoch  6, Batch   1015, Loss  0.883102, Average Loss  0.868243, Time  0.267195
2021-09-16 07:56:41.658599 : Epoch  4, Batch    757, Loss  0.886578, Average Loss  0.869489, Time  0.241371
2021-09-16 07:56:43.919000 : Epoch  6, Batch   1016, Loss  0.863455, Average Loss  0.868149, Time  0.266877
2021-09-16 07:56:44.258073 : Epoch  4, Batch    758, Loss  0.841590, Average Loss  0.869322, Time  0.241774
2021-09-16 07:56:46.847335 : Epoch  4, Batch    759, Loss  0.866928, Average Loss  0.869351, Time  0.239986
2021-09-16 07:56:46.892446 : Epoch  6, Batch   1017, Loss  0.871419, Average Loss  0.868209, Time  0.265490
2021-09-16 07:56:49.463479 : Epoch  4, Batch    760, Loss  0.891833, Average Loss  0.869466, Time  0.241165
2021-09-16 07:56:49.870545 : Epoch  6, Batch   1018, Loss  0.862725, Average Loss  0.868208, Time  0.264877
2021-09-16 07:56:52.057823 : Epoch  4, Batch    761, Loss  0.860436, Average Loss  0.869394, Time  0.240257
2021-09-16 07:56:52.845280 : Epoch  6, Batch   1019, Loss  0.857999, Average Loss  0.868110, Time  0.271165
2021-09-16 07:56:54.684414 : Epoch  4, Batch    762, Loss  0.901971, Average Loss  0.869565, Time  0.239900
2021-09-16 07:56:55.862410 : Epoch  6, Batch   1020, Loss  0.883173, Average Loss  0.868244, Time  0.265762
2021-09-16 07:56:57.283875 : Epoch  4, Batch    763, Loss  0.866615, Average Loss  0.869553, Time  0.240775
2021-09-16 07:56:59.876151 : Epoch  4, Batch    764, Loss  0.854905, Average Loss  0.869528, Time  0.241393
2021-09-16 07:57:02.475659 : Epoch  4, Batch    765, Loss  0.857829, Average Loss  0.869503, Time  0.240222
2021-09-16 07:57:05.068046 : Epoch  4, Batch    766, Loss  0.861759, Average Loss  0.869509, Time  0.241414
2021-09-16 07:57:07.664596 : Epoch  4, Batch    767, Loss  0.873484, Average Loss  0.869554, Time  0.241119
2021-09-16 07:57:10.267161 : Epoch  4, Batch    768, Loss  0.877481, Average Loss  0.869736, Time  0.243110
2021-09-16 07:57:12.869087 : Epoch  4, Batch    769, Loss  0.873026, Average Loss  0.869768, Time  0.241245
2021-09-16 07:57:15.471918 : Epoch  4, Batch    770, Loss  0.891613, Average Loss  0.869877, Time  0.241830
2021-09-16 07:57:18.064709 : Epoch  4, Batch    771, Loss  0.867052, Average Loss  0.869805, Time  0.240888
2021-09-16 07:57:20.661053 : Epoch  4, Batch    772, Loss  0.875154, Average Loss  0.869813, Time  0.240290
2021-09-16 07:57:23.252072 : Epoch  4, Batch    773, Loss  0.837808, Average Loss  0.869709, Time  0.239982
2021-09-16 07:57:25.845291 : Epoch  4, Batch    774, Loss  0.867214, Average Loss  0.869740, Time  0.240705
2021-09-16 07:57:28.452046 : Epoch  4, Batch    775, Loss  0.872049, Average Loss  0.869774, Time  0.239884
2021-09-16 07:57:31.050066 : Epoch  4, Batch    776, Loss  0.857794, Average Loss  0.869611, Time  0.240547
2021-09-16 07:57:33.640826 : Epoch  4, Batch    777, Loss  0.854588, Average Loss  0.869553, Time  0.240757
2021-09-16 07:57:36.238596 : Epoch  4, Batch    778, Loss  0.868796, Average Loss  0.869562, Time  0.239678
2021-09-16 07:57:38.826719 : Epoch  4, Batch    779, Loss  0.863272, Average Loss  0.869644, Time  0.240587
2021-09-16 07:57:41.425416 : Epoch  4, Batch    780, Loss  0.877685, Average Loss  0.869747, Time  0.239998
2021-09-16 07:57:44.025054 : Epoch  4, Batch    781, Loss  0.872470, Average Loss  0.869665, Time  0.239856
2021-09-16 07:57:46.618566 : Epoch  4, Batch    782, Loss  0.876672, Average Loss  0.869765, Time  0.240012
2021-09-16 07:57:49.205429 : Epoch  4, Batch    783, Loss  0.855933, Average Loss  0.869530, Time  0.240216
2021-09-16 07:57:51.795714 : Epoch  4, Batch    784, Loss  0.856531, Average Loss  0.869481, Time  0.240188
2021-09-16 07:57:54.386898 : Epoch  4, Batch    785, Loss  0.873603, Average Loss  0.869360, Time  0.239995
2021-09-16 07:57:56.981938 : Epoch  4, Batch    786, Loss  0.856786, Average Loss  0.869239, Time  0.240323
2021-09-16 07:57:59.575097 : Epoch  4, Batch    787, Loss  0.880764, Average Loss  0.869322, Time  0.240377
2021-09-16 07:58:02.173675 : Epoch  4, Batch    788, Loss  0.880750, Average Loss  0.869496, Time  0.240007
2021-09-16 07:58:04.780108 : Epoch  4, Batch    789, Loss  0.877862, Average Loss  0.869512, Time  0.240882
2021-09-16 07:58:07.377390 : Epoch  4, Batch    790, Loss  0.879254, Average Loss  0.869503, Time  0.239850
2021-09-16 07:58:09.967451 : Epoch  4, Batch    791, Loss  0.884734, Average Loss  0.869554, Time  0.240505
2021-09-16 07:58:12.566317 : Epoch  4, Batch    792, Loss  0.882241, Average Loss  0.869666, Time  0.240561
2021-09-16 07:58:15.163138 : Epoch  4, Batch    793, Loss  0.861467, Average Loss  0.869621, Time  0.241081
2021-09-16 07:58:17.758057 : Epoch  4, Batch    794, Loss  0.885113, Average Loss  0.869609, Time  0.240204
2021-09-16 07:58:20.356365 : Epoch  4, Batch    795, Loss  0.884845, Average Loss  0.869636, Time  0.241373
2021-09-16 07:58:22.944067 : Epoch  4, Batch    796, Loss  0.866475, Average Loss  0.869570, Time  0.240213
2021-09-16 07:58:25.532667 : Epoch  4, Batch    797, Loss  0.852951, Average Loss  0.869605, Time  0.239650
2021-09-16 07:58:28.133420 : Epoch  4, Batch    798, Loss  0.864546, Average Loss  0.869677, Time  0.240672
2021-09-16 07:58:30.737604 : Epoch  4, Batch    799, Loss  0.901746, Average Loss  0.869875, Time  0.240956
2021-09-16 07:58:33.319436 : Epoch  4, Batch    800, Loss  0.891925, Average Loss  0.870038, Time  0.239786
2021-09-16 07:58:35.908586 : Epoch  4, Batch    801, Loss  0.862537, Average Loss  0.870069, Time  0.240291
2021-09-16 07:58:38.504980 : Epoch  4, Batch    802, Loss  0.871356, Average Loss  0.870085, Time  0.240189
2021-09-16 07:58:41.102918 : Epoch  4, Batch    803, Loss  0.889443, Average Loss  0.870162, Time  0.240980
2021-09-16 07:58:43.690960 : Epoch  4, Batch    804, Loss  0.856806, Average Loss  0.870024, Time  0.239967
2021-09-16 07:58:46.283393 : Epoch  4, Batch    805, Loss  0.879334, Average Loss  0.870115, Time  0.239758
2021-09-16 07:58:48.885881 : Epoch  4, Batch    806, Loss  0.880727, Average Loss  0.870025, Time  0.240232
2021-09-16 07:58:51.479396 : Epoch  4, Batch    807, Loss  0.878073, Average Loss  0.870111, Time  0.239773
2021-09-16 07:58:54.072420 : Epoch  4, Batch    808, Loss  0.878022, Average Loss  0.870085, Time  0.239977
2021-09-16 07:58:56.664042 : Epoch  4, Batch    809, Loss  0.849255, Average Loss  0.870053, Time  0.240178
2021-09-16 07:58:59.261734 : Epoch  4, Batch    810, Loss  0.877776, Average Loss  0.870152, Time  0.240063
2021-09-16 07:59:01.861328 : Epoch  4, Batch    811, Loss  0.862846, Average Loss  0.870121, Time  0.239916
2021-09-16 07:59:04.456690 : Epoch  4, Batch    812, Loss  0.870876, Average Loss  0.870178, Time  0.240944
2021-09-16 07:59:07.078848 : Epoch  4, Batch    813, Loss  0.872449, Average Loss  0.870236, Time  0.242728
2021-09-16 07:59:09.683854 : Epoch  4, Batch    814, Loss  0.888253, Average Loss  0.870455, Time  0.243238
2021-09-16 07:59:12.273494 : Epoch  4, Batch    815, Loss  0.866887, Average Loss  0.870502, Time  0.240431
2021-09-16 07:59:14.866415 : Epoch  4, Batch    816, Loss  0.865941, Average Loss  0.870522, Time  0.240607
2021-09-16 07:59:17.455954 : Epoch  4, Batch    817, Loss  0.870960, Average Loss  0.870395, Time  0.240308
2021-09-16 07:59:20.068619 : Epoch  4, Batch    818, Loss  0.875121, Average Loss  0.870406, Time  0.240551
2021-09-16 07:59:22.666971 : Epoch  4, Batch    819, Loss  0.882624, Average Loss  0.870493, Time  0.240484
2021-09-16 07:59:25.259434 : Epoch  4, Batch    820, Loss  0.853248, Average Loss  0.870388, Time  0.240586
2021-09-16 07:59:27.846439 : Epoch  4, Batch    821, Loss  0.854420, Average Loss  0.870362, Time  0.240099
2021-09-16 07:59:30.439200 : Epoch  4, Batch    822, Loss  0.885766, Average Loss  0.870429, Time  0.241132
2021-09-16 07:59:33.038681 : Epoch  4, Batch    823, Loss  0.874163, Average Loss  0.870492, Time  0.239969
2021-09-16 07:59:35.618817 : Epoch  4, Batch    824, Loss  0.882424, Average Loss  0.870540, Time  0.240016
2021-09-16 07:59:38.211097 : Epoch  4, Batch    825, Loss  0.885169, Average Loss  0.870646, Time  0.240716
2021-09-16 07:59:40.811955 : Epoch  4, Batch    826, Loss  0.874260, Average Loss  0.870695, Time  0.240353
2021-09-16 07:59:43.393864 : Epoch  4, Batch    827, Loss  0.879540, Average Loss  0.870683, Time  0.244516
2021-09-16 07:59:45.986569 : Epoch  4, Batch    828, Loss  0.861785, Average Loss  0.870660, Time  0.241104
2021-09-16 07:59:48.572313 : Epoch  4, Batch    829, Loss  0.877775, Average Loss  0.870673, Time  0.240208
2021-09-16 07:59:51.162511 : Epoch  4, Batch    830, Loss  0.862999, Average Loss  0.870617, Time  0.239875
2021-09-16 07:59:53.751252 : Epoch  4, Batch    831, Loss  0.864657, Average Loss  0.870720, Time  0.240699
2021-09-16 07:59:56.346874 : Epoch  4, Batch    832, Loss  0.877624, Average Loss  0.870707, Time  0.240130
2021-09-16 08:01:36.707991 : CheckPoint: Validation Loss  0.00030223, Best Loss  0.00029295
2021-09-16 08:01:39.715005 : Epoch  6, Batch   1021, Loss  0.866044, Average Loss  0.868283, Time  0.267816
2021-09-16 08:01:42.727568 : Epoch  6, Batch   1022, Loss  0.880185, Average Loss  0.868383, Time  0.265538
2021-09-16 08:01:45.738067 : Epoch  6, Batch   1023, Loss  0.903336, Average Loss  0.868536, Time  0.266458
2021-09-16 08:01:48.739736 : Epoch  6, Batch   1024, Loss  0.875450, Average Loss  0.868521, Time  0.266697
2021-09-16 08:01:51.765695 : Epoch  6, Batch   1025, Loss  0.879031, Average Loss  0.868657, Time  0.267157
2021-09-16 08:01:54.756414 : Epoch  6, Batch   1026, Loss  0.885190, Average Loss  0.868654, Time  0.265789
2021-09-16 08:01:57.775220 : Epoch  6, Batch   1027, Loss  0.852687, Average Loss  0.868498, Time  0.265476
2021-09-16 08:02:00.767911 : Epoch  6, Batch   1028, Loss  0.877424, Average Loss  0.868537, Time  0.265340
2021-09-16 08:02:03.751954 : Epoch  6, Batch   1029, Loss  0.868999, Average Loss  0.868406, Time  0.266652
2021-09-16 08:02:06.745671 : Epoch  6, Batch   1030, Loss  0.864320, Average Loss  0.868494, Time  0.266174
2021-09-16 08:02:09.730560 : Epoch  6, Batch   1031, Loss  0.881200, Average Loss  0.868629, Time  0.265080
2021-09-16 08:02:12.760966 : Epoch  6, Batch   1032, Loss  0.862785, Average Loss  0.868577, Time  0.280409
2021-09-16 08:02:15.765645 : Epoch  6, Batch   1033, Loss  0.867347, Average Loss  0.868661, Time  0.265915
2021-09-16 08:02:18.763820 : Epoch  6, Batch   1034, Loss  0.876540, Average Loss  0.868834, Time  0.267194
2021-09-16 08:02:21.768202 : Epoch  6, Batch   1035, Loss  0.870884, Average Loss  0.868806, Time  0.266593
2021-09-16 08:02:24.762425 : Epoch  6, Batch   1036, Loss  0.870084, Average Loss  0.868877, Time  0.265268
2021-09-16 08:02:27.748569 : Epoch  6, Batch   1037, Loss  0.880679, Average Loss  0.868963, Time  0.265502
2021-09-16 08:02:30.776468 : Epoch  6, Batch   1038, Loss  0.874189, Average Loss  0.868950, Time  0.266922
2021-09-16 08:02:33.775314 : Epoch  6, Batch   1039, Loss  0.881681, Average Loss  0.868979, Time  0.265203
2021-09-16 08:02:36.759003 : Epoch  6, Batch   1040, Loss  0.862846, Average Loss  0.868907, Time  0.263744
2021-09-16 08:02:39.762297 : Epoch  6, Batch   1041, Loss  0.889122, Average Loss  0.868922, Time  0.265144
2021-09-16 08:02:42.775086 : Epoch  6, Batch   1042, Loss  0.858165, Average Loss  0.868918, Time  0.267478
2021-09-16 08:02:45.770051 : Epoch  6, Batch   1043, Loss  0.879946, Average Loss  0.868865, Time  0.265735
2021-09-16 08:02:48.772224 : Epoch  6, Batch   1044, Loss  0.860034, Average Loss  0.868896, Time  0.267263
2021-09-16 08:02:51.781354 : Epoch  6, Batch   1045, Loss  0.871231, Average Loss  0.868949, Time  0.265604
2021-09-16 08:02:54.776733 : Epoch  6, Batch   1046, Loss  0.878424, Average Loss  0.869101, Time  0.266219
2021-09-16 08:02:57.766284 : Epoch  6, Batch   1047, Loss  0.878341, Average Loss  0.869177, Time  0.279408
2021-09-16 08:03:00.791069 : Epoch  6, Batch   1048, Loss  0.884524, Average Loss  0.869091, Time  0.265954
2021-09-16 08:03:03.794051 : Epoch  6, Batch   1049, Loss  0.881764, Average Loss  0.869159, Time  0.265199
2021-09-16 08:03:06.781684 : Epoch  6, Batch   1050, Loss  0.861178, Average Loss  0.869058, Time  0.265690
2021-09-16 08:03:09.782098 : Epoch  6, Batch   1051, Loss  0.882101, Average Loss  0.869139, Time  0.266163
2021-09-16 08:03:12.794959 : Epoch  6, Batch   1052, Loss  0.873302, Average Loss  0.869157, Time  0.269069
2021-09-16 08:03:15.848724 : Epoch  6, Batch   1053, Loss  0.858553, Average Loss  0.869113, Time  0.266896
2021-09-16 08:03:18.854270 : Epoch  6, Batch   1054, Loss  0.881995, Average Loss  0.869287, Time  0.265563
2021-09-16 08:03:21.880944 : Epoch  6, Batch   1055, Loss  0.865465, Average Loss  0.869324, Time  0.267363
2021-09-16 08:03:24.906192 : Epoch  6, Batch   1056, Loss  0.857937, Average Loss  0.869168, Time  0.266550
2021-09-16 08:03:27.916764 : Epoch  6, Batch   1057, Loss  0.858409, Average Loss  0.869190, Time  0.266519
2021-09-16 08:03:30.913320 : Epoch  6, Batch   1058, Loss  0.865760, Average Loss  0.869173, Time  0.266807
2021-09-16 08:03:33.932539 : Epoch  6, Batch   1059, Loss  0.875725, Average Loss  0.869132, Time  0.265745
2021-09-16 08:03:36.914033 : Epoch  6, Batch   1060, Loss  0.872899, Average Loss  0.869231, Time  0.265287
2021-09-16 08:03:39.899849 : Epoch  6, Batch   1061, Loss  0.866892, Average Loss  0.869202, Time  0.266301
2021-09-16 08:03:42.897499 : Epoch  6, Batch   1062, Loss  0.901836, Average Loss  0.869372, Time  0.276276
2021-09-16 08:03:45.899734 : Epoch  6, Batch   1063, Loss  0.869431, Average Loss  0.869330, Time  0.266335
2021-09-16 08:03:48.885730 : Epoch  6, Batch   1064, Loss  0.863932, Average Loss  0.869269, Time  0.265342
2021-09-16 08:03:51.865289 : Epoch  6, Batch   1065, Loss  0.869104, Average Loss  0.869196, Time  0.265080
2021-09-16 08:03:54.839912 : Epoch  6, Batch   1066, Loss  0.856758, Average Loss  0.869221, Time  0.265897
2021-09-16 08:03:57.823509 : Epoch  6, Batch   1067, Loss  0.875993, Average Loss  0.869226, Time  0.267014
2021-09-16 08:03:59.485758 : CheckPoint: Validation Loss  0.00030453, Best Loss  0.00029226
2021-09-16 08:04:00.812246 : Epoch  6, Batch   1068, Loss  0.889526, Average Loss  0.869237, Time  0.267099
2021-09-16 08:04:02.090982 : Epoch  4, Batch    833, Loss  0.873161, Average Loss  0.870672, Time  0.241311
2021-09-16 08:04:03.803814 : Epoch  6, Batch   1069, Loss  0.885222, Average Loss  0.869307, Time  0.265379
2021-09-16 08:04:04.686255 : Epoch  4, Batch    834, Loss  0.861680, Average Loss  0.870659, Time  0.240575
2021-09-16 08:04:06.799205 : Epoch  6, Batch   1070, Loss  0.856220, Average Loss  0.869147, Time  0.266241
2021-09-16 08:04:07.299854 : Epoch  4, Batch    835, Loss  0.858187, Average Loss  0.870522, Time  0.240742
2021-09-16 08:04:09.804347 : Epoch  6, Batch   1071, Loss  0.872736, Average Loss  0.869167, Time  0.265457
2021-09-16 08:04:09.893248 : Epoch  4, Batch    836, Loss  0.869617, Average Loss  0.870498, Time  0.241736
2021-09-16 08:04:12.500329 : Epoch  4, Batch    837, Loss  0.864251, Average Loss  0.870434, Time  0.240026
2021-09-16 08:04:12.818545 : Epoch  6, Batch   1072, Loss  0.882419, Average Loss  0.869174, Time  0.266834
2021-09-16 08:04:15.105091 : Epoch  4, Batch    838, Loss  0.876198, Average Loss  0.870521, Time  0.240652
2021-09-16 08:04:15.807760 : Epoch  6, Batch   1073, Loss  0.875719, Average Loss  0.869275, Time  0.267022
2021-09-16 08:04:17.740856 : Epoch  4, Batch    839, Loss  0.862844, Average Loss  0.870514, Time  0.241303
2021-09-16 08:04:18.792613 : Epoch  6, Batch   1074, Loss  0.853077, Average Loss  0.869244, Time  0.264796
2021-09-16 08:04:20.342114 : Epoch  4, Batch    840, Loss  0.875241, Average Loss  0.870605, Time  0.240177
2021-09-16 08:04:21.776926 : Epoch  6, Batch   1075, Loss  0.868586, Average Loss  0.869208, Time  0.266316
2021-09-16 08:04:22.937894 : Epoch  4, Batch    841, Loss  0.877493, Average Loss  0.870699, Time  0.240219
2021-09-16 08:04:24.776272 : Epoch  6, Batch   1076, Loss  0.864872, Average Loss  0.869165, Time  0.265900
2021-09-16 08:04:25.538420 : Epoch  4, Batch    842, Loss  0.863730, Average Loss  0.870687, Time  0.239962
2021-09-16 08:04:27.792560 : Epoch  6, Batch   1077, Loss  0.901467, Average Loss  0.869336, Time  0.279350
2021-09-16 08:04:28.133725 : Epoch  4, Batch    843, Loss  0.854028, Average Loss  0.870631, Time  0.241074
2021-09-16 08:04:30.716904 : Epoch  4, Batch    844, Loss  0.866627, Average Loss  0.870525, Time  0.242102
2021-09-16 08:04:30.825001 : Epoch  6, Batch   1078, Loss  0.868260, Average Loss  0.869285, Time  0.266084
2021-09-16 08:04:33.307038 : Epoch  4, Batch    845, Loss  0.866355, Average Loss  0.870428, Time  0.239856
2021-09-16 08:04:33.816062 : Epoch  6, Batch   1079, Loss  0.867821, Average Loss  0.869255, Time  0.266334
2021-09-16 08:04:35.901868 : Epoch  4, Batch    846, Loss  0.875780, Average Loss  0.870468, Time  0.241140
2021-09-16 08:04:36.821437 : Epoch  6, Batch   1080, Loss  0.872214, Average Loss  0.869401, Time  0.266858
2021-09-16 08:04:38.493495 : Epoch  4, Batch    847, Loss  0.893014, Average Loss  0.870463, Time  0.242301
2021-09-16 08:04:39.811420 : Epoch  6, Batch   1081, Loss  0.861982, Average Loss  0.869377, Time  0.265649
2021-09-16 08:04:41.101994 : Epoch  4, Batch    848, Loss  0.881081, Average Loss  0.870578, Time  0.241602
2021-09-16 08:04:42.795845 : Epoch  6, Batch   1082, Loss  0.862747, Average Loss  0.869383, Time  0.265216
2021-09-16 08:04:43.710791 : Epoch  4, Batch    849, Loss  0.854767, Average Loss  0.870458, Time  0.239763
2021-09-16 08:04:45.770657 : Epoch  6, Batch   1083, Loss  0.883410, Average Loss  0.869396, Time  0.266011
2021-09-16 08:04:46.309030 : Epoch  4, Batch    850, Loss  0.870742, Average Loss  0.870460, Time  0.240782
2021-09-16 08:04:48.781114 : Epoch  6, Batch   1084, Loss  0.865092, Average Loss  0.869376, Time  0.266490
2021-09-16 08:04:48.904956 : Epoch  4, Batch    851, Loss  0.880023, Average Loss  0.870440, Time  0.242230
2021-09-16 08:04:51.499153 : Epoch  4, Batch    852, Loss  0.866926, Average Loss  0.870424, Time  0.241430
2021-09-16 08:04:51.758381 : Epoch  6, Batch   1085, Loss  0.872403, Average Loss  0.869426, Time  0.265411
2021-09-16 08:04:54.100823 : Epoch  4, Batch    853, Loss  0.873418, Average Loss  0.870470, Time  0.240478
2021-09-16 08:04:54.741504 : Epoch  6, Batch   1086, Loss  0.870572, Average Loss  0.869378, Time  0.265537
2021-09-16 08:04:56.704042 : Epoch  4, Batch    854, Loss  0.865203, Average Loss  0.870356, Time  0.240494
2021-09-16 08:04:57.726454 : Epoch  6, Batch   1087, Loss  0.865663, Average Loss  0.869362, Time  0.265348
2021-09-16 08:04:59.324392 : Epoch  4, Batch    855, Loss  0.899248, Average Loss  0.870588, Time  0.240457
2021-09-16 08:05:00.717849 : Epoch  6, Batch   1088, Loss  0.866898, Average Loss  0.869397, Time  0.266025
2021-09-16 08:05:01.947555 : Epoch  4, Batch    856, Loss  0.857803, Average Loss  0.870489, Time  0.249782
2021-09-16 08:05:03.734928 : Epoch  6, Batch   1089, Loss  0.844014, Average Loss  0.869308, Time  0.266445
2021-09-16 08:05:04.546399 : Epoch  4, Batch    857, Loss  0.853279, Average Loss  0.870407, Time  0.242661
2021-09-16 08:05:06.723139 : Epoch  6, Batch   1090, Loss  0.835345, Average Loss  0.869273, Time  0.265250
2021-09-16 08:05:07.144677 : Epoch  4, Batch    858, Loss  0.871620, Average Loss  0.870364, Time  0.240624
2021-09-16 08:05:09.729939 : Epoch  4, Batch    859, Loss  0.872661, Average Loss  0.870347, Time  0.240218
2021-09-16 08:05:09.741571 : Epoch  6, Batch   1091, Loss  0.847774, Average Loss  0.869186, Time  0.266434
2021-09-16 08:05:12.317068 : Epoch  4, Batch    860, Loss  0.862684, Average Loss  0.870144, Time  0.240198
2021-09-16 08:05:12.740612 : Epoch  6, Batch   1092, Loss  0.880514, Average Loss  0.869201, Time  0.278732
2021-09-16 08:05:14.919897 : Epoch  4, Batch    861, Loss  0.881730, Average Loss  0.870245, Time  0.240333
2021-09-16 08:05:15.725605 : Epoch  6, Batch   1093, Loss  0.874177, Average Loss  0.869249, Time  0.268565
2021-09-16 08:05:17.505022 : Epoch  4, Batch    862, Loss  0.862007, Average Loss  0.870206, Time  0.240589
2021-09-16 08:05:18.697376 : Epoch  6, Batch   1094, Loss  0.868063, Average Loss  0.869397, Time  0.266153
2021-09-16 08:05:20.108960 : Epoch  4, Batch    863, Loss  0.873298, Average Loss  0.870209, Time  0.243639
2021-09-16 08:05:21.676981 : Epoch  6, Batch   1095, Loss  0.856806, Average Loss  0.869257, Time  0.266696
2021-09-16 08:05:22.702057 : Epoch  4, Batch    864, Loss  0.886181, Average Loss  0.870362, Time  0.240238
2021-09-16 08:05:24.670072 : Epoch  6, Batch   1096, Loss  0.839090, Average Loss  0.869087, Time  0.266608
2021-09-16 08:05:25.297008 : Epoch  4, Batch    865, Loss  0.862893, Average Loss  0.870261, Time  0.240147
2021-09-16 08:05:27.677947 : Epoch  6, Batch   1097, Loss  0.876278, Average Loss  0.868995, Time  0.266765
2021-09-16 08:05:27.894875 : Epoch  4, Batch    866, Loss  0.867884, Average Loss  0.870112, Time  0.241039
2021-09-16 08:05:30.480024 : Epoch  4, Batch    867, Loss  0.870050, Average Loss  0.870138, Time  0.240372
2021-09-16 08:05:30.703527 : Epoch  6, Batch   1098, Loss  0.852373, Average Loss  0.868969, Time  0.266310
2021-09-16 08:05:33.079003 : Epoch  4, Batch    868, Loss  0.881140, Average Loss  0.870159, Time  0.242666
2021-09-16 08:05:33.699463 : Epoch  6, Batch   1099, Loss  0.870249, Average Loss  0.869018, Time  0.265077
2021-09-16 08:05:35.678187 : Epoch  4, Batch    869, Loss  0.888177, Average Loss  0.870202, Time  0.240219
2021-09-16 08:05:36.685311 : Epoch  6, Batch   1100, Loss  0.852946, Average Loss  0.868866, Time  0.265806
2021-09-16 08:05:38.283583 : Epoch  4, Batch    870, Loss  0.888143, Average Loss  0.870207, Time  0.240272
2021-09-16 08:05:39.692501 : Epoch  6, Batch   1101, Loss  0.854196, Average Loss  0.868778, Time  0.265464
2021-09-16 08:05:40.877326 : Epoch  4, Batch    871, Loss  0.854089, Average Loss  0.870167, Time  0.240827
2021-09-16 08:05:42.677767 : Epoch  6, Batch   1102, Loss  0.865663, Average Loss  0.868702, Time  0.265446
2021-09-16 08:05:43.487877 : Epoch  4, Batch    872, Loss  0.884191, Average Loss  0.870268, Time  0.240563
2021-09-16 08:05:45.678163 : Epoch  6, Batch   1103, Loss  0.894938, Average Loss  0.868821, Time  0.265907
2021-09-16 08:05:46.092010 : Epoch  4, Batch    873, Loss  0.856478, Average Loss  0.870148, Time  0.242095
2021-09-16 08:05:48.684337 : Epoch  6, Batch   1104, Loss  0.856363, Average Loss  0.868726, Time  0.265669
2021-09-16 08:05:48.687424 : Epoch  4, Batch    874, Loss  0.893683, Average Loss  0.870418, Time  0.240374
2021-09-16 08:05:51.301172 : Epoch  4, Batch    875, Loss  0.857083, Average Loss  0.870371, Time  0.240233
2021-09-16 08:05:51.664888 : Epoch  6, Batch   1105, Loss  0.877952, Average Loss  0.868738, Time  0.265837
2021-09-16 08:05:53.906438 : Epoch  4, Batch    876, Loss  0.870859, Average Loss  0.870367, Time  0.240039
2021-09-16 08:05:54.658631 : Epoch  6, Batch   1106, Loss  0.877020, Average Loss  0.868705, Time  0.265560
2021-09-16 08:05:56.508020 : Epoch  4, Batch    877, Loss  0.874498, Average Loss  0.870515, Time  0.240687
2021-09-16 08:05:57.645658 : Epoch  6, Batch   1107, Loss  0.879631, Average Loss  0.868880, Time  0.273131
2021-09-16 08:05:59.102410 : Epoch  4, Batch    878, Loss  0.881361, Average Loss  0.870534, Time  0.241443
2021-09-16 08:06:00.645640 : Epoch  6, Batch   1108, Loss  0.870277, Average Loss  0.868915, Time  0.265996
2021-09-16 08:06:01.692185 : Epoch  4, Batch    879, Loss  0.872312, Average Loss  0.870474, Time  0.240529
2021-09-16 08:06:03.639038 : Epoch  6, Batch   1109, Loss  0.859756, Average Loss  0.868737, Time  0.265047
2021-09-16 08:06:04.281419 : Epoch  4, Batch    880, Loss  0.898798, Average Loss  0.870747, Time  0.240316
2021-09-16 08:06:06.621699 : Epoch  6, Batch   1110, Loss  0.851060, Average Loss  0.868707, Time  0.265865
2021-09-16 08:06:06.875003 : Epoch  4, Batch    881, Loss  0.869419, Average Loss  0.870716, Time  0.240847
2021-09-16 08:06:09.458799 : Epoch  4, Batch    882, Loss  0.848527, Average Loss  0.870522, Time  0.240405
2021-09-16 08:06:09.602629 : Epoch  6, Batch   1111, Loss  0.880857, Average Loss  0.868810, Time  0.266914
2021-09-16 08:06:12.050941 : Epoch  4, Batch    883, Loss  0.876780, Average Loss  0.870552, Time  0.244763
2021-09-16 08:06:12.596794 : Epoch  6, Batch   1112, Loss  0.855790, Average Loss  0.868879, Time  0.266212
2021-09-16 08:06:14.637541 : Epoch  4, Batch    884, Loss  0.863701, Average Loss  0.870560, Time  0.241466
2021-09-16 08:06:15.597350 : Epoch  6, Batch   1113, Loss  0.868117, Average Loss  0.868847, Time  0.266054
2021-09-16 08:06:17.229963 : Epoch  4, Batch    885, Loss  0.866384, Average Loss  0.870558, Time  0.240016
2021-09-16 08:06:18.570015 : Epoch  6, Batch   1114, Loss  0.882806, Average Loss  0.868886, Time  0.266157
2021-09-16 08:06:19.814539 : Epoch  4, Batch    886, Loss  0.853407, Average Loss  0.870582, Time  0.239796
2021-09-16 08:06:21.551675 : Epoch  6, Batch   1115, Loss  0.879826, Average Loss  0.868852, Time  0.266724
2021-09-16 08:06:22.403548 : Epoch  4, Batch    887, Loss  0.885252, Average Loss  0.870519, Time  0.240757
2021-09-16 08:06:24.554212 : Epoch  6, Batch   1116, Loss  0.863180, Average Loss  0.868770, Time  0.266484
2021-09-16 08:06:24.990866 : Epoch  4, Batch    888, Loss  0.851899, Average Loss  0.870436, Time  0.240520
2021-09-16 08:06:27.555696 : Epoch  6, Batch   1117, Loss  0.880273, Average Loss  0.868960, Time  0.265171
2021-09-16 08:06:27.572398 : Epoch  4, Batch    889, Loss  0.865789, Average Loss  0.870274, Time  0.240103
2021-09-16 08:06:30.146883 : Epoch  4, Batch    890, Loss  0.876720, Average Loss  0.870320, Time  0.240126
2021-09-16 08:06:30.534278 : Epoch  6, Batch   1118, Loss  0.855759, Average Loss  0.868971, Time  0.266593
2021-09-16 08:06:32.757406 : Epoch  4, Batch    891, Loss  0.858793, Average Loss  0.870264, Time  0.241004
2021-09-16 08:06:33.495903 : Epoch  6, Batch   1119, Loss  0.868039, Average Loss  0.869015, Time  0.265489
2021-09-16 08:06:35.342439 : Epoch  4, Batch    892, Loss  0.838308, Average Loss  0.870017, Time  0.240479
2021-09-16 08:06:36.477272 : Epoch  6, Batch   1120, Loss  0.863847, Average Loss  0.868997, Time  0.265697
2021-09-16 08:06:37.937267 : Epoch  4, Batch    893, Loss  0.894873, Average Loss  0.870185, Time  0.240325
2021-09-16 08:06:40.537967 : Epoch  4, Batch    894, Loss  0.873160, Average Loss  0.870187, Time  0.240215
2021-09-16 08:06:43.132424 : Epoch  4, Batch    895, Loss  0.870281, Average Loss  0.870102, Time  0.241379
2021-09-16 08:06:45.726490 : Epoch  4, Batch    896, Loss  0.860094, Average Loss  0.869998, Time  0.240582
2021-09-16 08:06:48.325603 : Epoch  4, Batch    897, Loss  0.869968, Average Loss  0.870045, Time  0.241684
2021-09-16 08:06:50.911961 : Epoch  4, Batch    898, Loss  0.863522, Average Loss  0.869954, Time  0.241005
2021-09-16 08:06:53.494352 : Epoch  4, Batch    899, Loss  0.879873, Average Loss  0.870018, Time  0.241176
2021-09-16 08:06:56.108027 : Epoch  4, Batch    900, Loss  0.881154, Average Loss  0.870059, Time  0.240711
2021-09-16 08:06:58.691405 : Epoch  4, Batch    901, Loss  0.860478, Average Loss  0.869953, Time  0.239825
2021-09-16 08:07:01.278804 : Epoch  4, Batch    902, Loss  0.863168, Average Loss  0.869910, Time  0.240134
2021-09-16 08:07:03.863617 : Epoch  4, Batch    903, Loss  0.865459, Average Loss  0.869867, Time  0.240417
2021-09-16 08:07:06.454072 : Epoch  4, Batch    904, Loss  0.854464, Average Loss  0.869805, Time  0.240825
2021-09-16 08:07:09.045832 : Epoch  4, Batch    905, Loss  0.875973, Average Loss  0.869920, Time  0.240030
2021-09-16 08:07:11.633187 : Epoch  4, Batch    906, Loss  0.866013, Average Loss  0.869900, Time  0.243008
2021-09-16 08:07:14.228961 : Epoch  4, Batch    907, Loss  0.871171, Average Loss  0.869957, Time  0.240434
2021-09-16 08:07:16.810547 : Epoch  4, Batch    908, Loss  0.857820, Average Loss  0.869888, Time  0.239613
2021-09-16 08:07:19.396179 : Epoch  4, Batch    909, Loss  0.878482, Average Loss  0.870037, Time  0.242282
2021-09-16 08:07:21.979993 : Epoch  4, Batch    910, Loss  0.851627, Average Loss  0.869944, Time  0.240420
2021-09-16 08:07:24.574069 : Epoch  4, Batch    911, Loss  0.850735, Average Loss  0.869846, Time  0.241021
2021-09-16 08:07:27.161224 : Epoch  4, Batch    912, Loss  0.862783, Average Loss  0.869769, Time  0.239964
2021-09-16 08:07:29.746383 : Epoch  4, Batch    913, Loss  0.854616, Average Loss  0.869720, Time  0.240083
2021-09-16 08:07:32.334638 : Epoch  4, Batch    914, Loss  0.869416, Average Loss  0.869731, Time  0.239981
2021-09-16 08:07:34.925953 : Epoch  4, Batch    915, Loss  0.854961, Average Loss  0.869673, Time  0.240002
2021-09-16 08:07:37.507203 : Epoch  4, Batch    916, Loss  0.879896, Average Loss  0.869656, Time  0.239946
2021-09-16 08:07:40.108740 : Epoch  4, Batch    917, Loss  0.864643, Average Loss  0.869624, Time  0.241259
2021-09-16 08:07:42.714032 : Epoch  4, Batch    918, Loss  0.857349, Average Loss  0.869530, Time  0.241437
2021-09-16 08:07:45.301414 : Epoch  4, Batch    919, Loss  0.865790, Average Loss  0.869512, Time  0.240751
2021-09-16 08:07:47.892084 : Epoch  4, Batch    920, Loss  0.876665, Average Loss  0.869591, Time  0.241509
2021-09-16 08:07:50.486541 : Epoch  4, Batch    921, Loss  0.846233, Average Loss  0.869407, Time  0.240317
2021-09-16 08:07:53.079934 : Epoch  4, Batch    922, Loss  0.874703, Average Loss  0.869515, Time  0.240676
2021-09-16 08:07:55.672739 : Epoch  4, Batch    923, Loss  0.865000, Average Loss  0.869394, Time  0.242138
2021-09-16 08:07:58.264557 : Epoch  4, Batch    924, Loss  0.867747, Average Loss  0.869362, Time  0.241244
2021-09-16 08:08:00.861406 : Epoch  4, Batch    925, Loss  0.870441, Average Loss  0.869263, Time  0.243339
2021-09-16 08:08:03.444460 : Epoch  4, Batch    926, Loss  0.888313, Average Loss  0.869234, Time  0.240610
2021-09-16 08:08:06.028307 : Epoch  4, Batch    927, Loss  0.876040, Average Loss  0.869373, Time  0.240053
2021-09-16 08:08:08.624892 : Epoch  4, Batch    928, Loss  0.873205, Average Loss  0.869451, Time  0.240012
2021-09-16 08:08:11.258349 : Epoch  4, Batch    929, Loss  0.893616, Average Loss  0.869558, Time  0.240820
2021-09-16 08:08:13.849393 : Epoch  4, Batch    930, Loss  0.867045, Average Loss  0.869585, Time  0.240334
2021-09-16 08:08:16.445088 : Epoch  4, Batch    931, Loss  0.871800, Average Loss  0.869736, Time  0.240145
2021-09-16 08:08:19.054160 : Epoch  4, Batch    932, Loss  0.869235, Average Loss  0.869693, Time  0.241302
2021-09-16 08:11:18.477132 : CheckPoint: Validation Loss  0.00029564, Best Loss  0.00029295
2021-09-16 08:11:21.513238 : Epoch  6, Batch   1121, Loss  0.872901, Average Loss  0.869058, Time  0.268693
2021-09-16 08:11:24.530855 : Epoch  6, Batch   1122, Loss  0.866954, Average Loss  0.869050, Time  0.266260
2021-09-16 08:11:27.520952 : Epoch  6, Batch   1123, Loss  0.851762, Average Loss  0.868936, Time  0.265530
2021-09-16 08:11:30.503813 : Epoch  6, Batch   1124, Loss  0.865671, Average Loss  0.868848, Time  0.265745
2021-09-16 08:11:33.489202 : Epoch  6, Batch   1125, Loss  0.880452, Average Loss  0.868792, Time  0.265177
2021-09-16 08:11:36.491968 : Epoch  6, Batch   1126, Loss  0.848098, Average Loss  0.868597, Time  0.265662
2021-09-16 08:11:39.504271 : Epoch  6, Batch   1127, Loss  0.888789, Average Loss  0.868679, Time  0.266068
2021-09-16 08:11:42.500950 : Epoch  6, Batch   1128, Loss  0.868387, Average Loss  0.868632, Time  0.265300
2021-09-16 08:11:45.515034 : Epoch  6, Batch   1129, Loss  0.874117, Average Loss  0.868543, Time  0.265795
2021-09-16 08:11:48.498140 : Epoch  6, Batch   1130, Loss  0.887471, Average Loss  0.868769, Time  0.266294
2021-09-16 08:11:51.493850 : Epoch  6, Batch   1131, Loss  0.857573, Average Loss  0.868767, Time  0.266912
2021-09-16 08:11:54.485527 : Epoch  6, Batch   1132, Loss  0.877210, Average Loss  0.868941, Time  0.267920
2021-09-16 08:11:57.492580 : Epoch  6, Batch   1133, Loss  0.872823, Average Loss  0.869062, Time  0.267173
2021-09-16 08:12:00.482507 : Epoch  6, Batch   1134, Loss  0.870785, Average Loss  0.869049, Time  0.266464
2021-09-16 08:12:03.474215 : Epoch  6, Batch   1135, Loss  0.851303, Average Loss  0.869008, Time  0.275211
2021-09-16 08:12:06.487836 : Epoch  6, Batch   1136, Loss  0.860950, Average Loss  0.869035, Time  0.268816
2021-09-16 08:12:09.504955 : Epoch  6, Batch   1137, Loss  0.870540, Average Loss  0.869115, Time  0.266418
2021-09-16 08:12:12.494303 : Epoch  6, Batch   1138, Loss  0.866383, Average Loss  0.869188, Time  0.265429
2021-09-16 08:12:15.468149 : Epoch  6, Batch   1139, Loss  0.901551, Average Loss  0.869382, Time  0.265126
2021-09-16 08:12:18.472903 : Epoch  6, Batch   1140, Loss  0.867357, Average Loss  0.869267, Time  0.265581
2021-09-16 08:12:21.461539 : Epoch  6, Batch   1141, Loss  0.890074, Average Loss  0.869446, Time  0.265297
2021-09-16 08:12:22.507754 : CheckPoint: Validation Loss  0.00029749, Best Loss  0.00029226
2021-09-16 08:12:24.450077 : Epoch  6, Batch   1142, Loss  0.871412, Average Loss  0.869521, Time  0.266019
2021-09-16 08:12:25.124236 : Epoch  4, Batch    933, Loss  0.872665, Average Loss  0.869686, Time  0.265475
2021-09-16 08:12:27.458284 : Epoch  6, Batch   1143, Loss  0.858658, Average Loss  0.869539, Time  0.265450
2021-09-16 08:12:27.721063 : Epoch  4, Batch    934, Loss  0.877276, Average Loss  0.869872, Time  0.242656
2021-09-16 08:12:30.296394 : Epoch  4, Batch    935, Loss  0.879280, Average Loss  0.870067, Time  0.240227
2021-09-16 08:12:30.441018 : Epoch  6, Batch   1144, Loss  0.886309, Average Loss  0.869587, Time  0.265472
2021-09-16 08:12:32.886216 : Epoch  4, Batch    936, Loss  0.874522, Average Loss  0.870038, Time  0.241855
2021-09-16 08:12:33.425865 : Epoch  6, Batch   1145, Loss  0.855470, Average Loss  0.869525, Time  0.266065
2021-09-16 08:12:35.483914 : Epoch  4, Batch    937, Loss  0.872126, Average Loss  0.870146, Time  0.240058
2021-09-16 08:12:36.439291 : Epoch  6, Batch   1146, Loss  0.859398, Average Loss  0.869516, Time  0.265667
2021-09-16 08:12:38.073419 : Epoch  4, Batch    938, Loss  0.880393, Average Loss  0.870228, Time  0.240176
2021-09-16 08:12:39.437094 : Epoch  6, Batch   1147, Loss  0.863335, Average Loss  0.869522, Time  0.265712
2021-09-16 08:12:40.669278 : Epoch  4, Batch    939, Loss  0.877557, Average Loss  0.870215, Time  0.239930
2021-09-16 08:12:42.425767 : Epoch  6, Batch   1148, Loss  0.855999, Average Loss  0.869514, Time  0.263458
2021-09-16 08:12:43.266253 : Epoch  4, Batch    940, Loss  0.886068, Average Loss  0.870343, Time  0.241053
2021-09-16 08:12:45.395560 : Epoch  6, Batch   1149, Loss  0.892156, Average Loss  0.869590, Time  0.264636
2021-09-16 08:12:45.858300 : Epoch  4, Batch    941, Loss  0.882699, Average Loss  0.870454, Time  0.239569
2021-09-16 08:12:48.386978 : Epoch  6, Batch   1150, Loss  0.878241, Average Loss  0.869644, Time  0.278590
2021-09-16 08:12:48.425292 : Epoch  4, Batch    942, Loss  0.875694, Average Loss  0.870563, Time  0.239741
2021-09-16 08:12:51.028732 : Epoch  4, Batch    943, Loss  0.849166, Average Loss  0.870464, Time  0.239911
2021-09-16 08:12:51.415526 : Epoch  6, Batch   1151, Loss  0.867398, Average Loss  0.869663, Time  0.265853
2021-09-16 08:12:53.623934 : Epoch  4, Batch    944, Loss  0.853974, Average Loss  0.870425, Time  0.240628
2021-09-16 08:12:54.384822 : Epoch  6, Batch   1152, Loss  0.884788, Average Loss  0.869754, Time  0.267107
2021-09-16 08:12:56.212408 : Epoch  4, Batch    945, Loss  0.848386, Average Loss  0.870329, Time  0.239826
2021-09-16 08:12:57.378069 : Epoch  6, Batch   1153, Loss  0.851880, Average Loss  0.869719, Time  0.265932
2021-09-16 08:12:58.806571 : Epoch  4, Batch    946, Loss  0.877144, Average Loss  0.870428, Time  0.240110
2021-09-16 08:13:00.359361 : Epoch  6, Batch   1154, Loss  0.870550, Average Loss  0.869767, Time  0.266103
2021-09-16 08:13:01.403833 : Epoch  4, Batch    947, Loss  0.884743, Average Loss  0.870416, Time  0.240073
2021-09-16 08:13:03.355994 : Epoch  6, Batch   1155, Loss  0.870170, Average Loss  0.869625, Time  0.266057
2021-09-16 08:13:03.994984 : Epoch  4, Batch    948, Loss  0.864420, Average Loss  0.870355, Time  0.243076
2021-09-16 08:13:06.350557 : Epoch  6, Batch   1156, Loss  0.879966, Average Loss  0.869776, Time  0.265737
2021-09-16 08:13:06.587206 : Epoch  4, Batch    949, Loss  0.853608, Average Loss  0.870342, Time  0.240209
2021-09-16 08:13:09.175606 : Epoch  4, Batch    950, Loss  0.869504, Average Loss  0.870327, Time  0.241687
2021-09-16 08:13:09.347506 : Epoch  6, Batch   1157, Loss  0.874486, Average Loss  0.869758, Time  0.266383
2021-09-16 08:13:11.763177 : Epoch  4, Batch    951, Loss  0.879884, Average Loss  0.870428, Time  0.240187
2021-09-16 08:13:12.342300 : Epoch  6, Batch   1158, Loss  0.852940, Average Loss  0.869735, Time  0.266166
2021-09-16 08:13:14.360169 : Epoch  4, Batch    952, Loss  0.873538, Average Loss  0.870544, Time  0.240128
2021-09-16 08:13:15.337486 : Epoch  6, Batch   1159, Loss  0.863002, Average Loss  0.869665, Time  0.265297
2021-09-16 08:13:16.959022 : Epoch  4, Batch    953, Loss  0.862361, Average Loss  0.870493, Time  0.241662
2021-09-16 08:13:18.316061 : Epoch  6, Batch   1160, Loss  0.890229, Average Loss  0.869761, Time  0.265751
2021-09-16 08:13:19.553147 : Epoch  4, Batch    954, Loss  0.878597, Average Loss  0.870490, Time  0.245227
2021-09-16 08:13:21.307389 : Epoch  6, Batch   1161, Loss  0.858484, Average Loss  0.869760, Time  0.265535
2021-09-16 08:13:22.154919 : Epoch  4, Batch    955, Loss  0.859922, Average Loss  0.870429, Time  0.241241
2021-09-16 08:13:24.303345 : Epoch  6, Batch   1162, Loss  0.867500, Average Loss  0.869837, Time  0.267004
2021-09-16 08:13:24.746252 : Epoch  4, Batch    956, Loss  0.887675, Average Loss  0.870569, Time  0.240561
2021-09-16 08:13:27.309820 : Epoch  6, Batch   1163, Loss  0.864779, Average Loss  0.869838, Time  0.264828
2021-09-16 08:13:27.315547 : Epoch  4, Batch    957, Loss  0.884112, Average Loss  0.870556, Time  0.241653
2021-09-16 08:13:29.913564 : Epoch  4, Batch    958, Loss  0.879616, Average Loss  0.870747, Time  0.240495
2021-09-16 08:13:30.290929 : Epoch  6, Batch   1164, Loss  0.880062, Average Loss  0.869888, Time  0.265587
2021-09-16 08:13:32.506367 : Epoch  4, Batch    959, Loss  0.866811, Average Loss  0.870746, Time  0.241009
2021-09-16 08:13:33.258708 : Epoch  6, Batch   1165, Loss  0.858818, Average Loss  0.869811, Time  0.264863
2021-09-16 08:13:35.106361 : Epoch  4, Batch    960, Loss  0.856362, Average Loss  0.870569, Time  0.240033
2021-09-16 08:13:36.263535 : Epoch  6, Batch   1166, Loss  0.867397, Average Loss  0.869837, Time  0.272232
2021-09-16 08:13:37.697319 : Epoch  4, Batch    961, Loss  0.852583, Average Loss  0.870529, Time  0.240702
2021-09-16 08:13:39.251180 : Epoch  6, Batch   1167, Loss  0.888993, Average Loss  0.869973, Time  0.265761
2021-09-16 08:13:40.295428 : Epoch  4, Batch    962, Loss  0.858276, Average Loss  0.870311, Time  0.239883
2021-09-16 08:13:42.237092 : Epoch  6, Batch   1168, Loss  0.868788, Average Loss  0.869927, Time  0.266130
2021-09-16 08:13:42.880429 : Epoch  4, Batch    963, Loss  0.855263, Average Loss  0.870254, Time  0.240258
2021-09-16 08:13:45.232402 : Epoch  6, Batch   1169, Loss  0.856856, Average Loss  0.869843, Time  0.264821
2021-09-16 08:13:45.467843 : Epoch  4, Batch    964, Loss  0.873257, Average Loss  0.870346, Time  0.241813
2021-09-16 08:13:48.040872 : Epoch  4, Batch    965, Loss  0.844087, Average Loss  0.870277, Time  0.242917
2021-09-16 08:13:48.237961 : Epoch  6, Batch   1170, Loss  0.888948, Average Loss  0.869959, Time  0.265906
2021-09-16 08:13:50.626395 : Epoch  4, Batch    966, Loss  0.861504, Average Loss  0.870276, Time  0.241248
2021-09-16 08:13:51.231649 : Epoch  6, Batch   1171, Loss  0.861669, Average Loss  0.869922, Time  0.265497
2021-09-16 08:13:53.205227 : Epoch  4, Batch    967, Loss  0.888216, Average Loss  0.870350, Time  0.240393
2021-09-16 08:13:54.200913 : Epoch  6, Batch   1172, Loss  0.879203, Average Loss  0.870028, Time  0.266243
2021-09-16 08:13:55.796972 : Epoch  4, Batch    968, Loss  0.840561, Average Loss  0.870165, Time  0.240926
2021-09-16 08:13:57.199728 : Epoch  6, Batch   1173, Loss  0.867429, Average Loss  0.870134, Time  0.265414
2021-09-16 08:13:58.386034 : Epoch  4, Batch    969, Loss  0.860961, Average Loss  0.870105, Time  0.241895
2021-09-16 08:14:00.176621 : Epoch  6, Batch   1174, Loss  0.875258, Average Loss  0.870225, Time  0.267216
2021-09-16 08:14:00.984788 : Epoch  4, Batch    970, Loss  0.859676, Average Loss  0.869945, Time  0.239680
2021-09-16 08:14:03.159098 : Epoch  6, Batch   1175, Loss  0.878505, Average Loss  0.870253, Time  0.267178
2021-09-16 08:14:03.600008 : Epoch  4, Batch    971, Loss  0.878998, Average Loss  0.870005, Time  0.239653
2021-09-16 08:14:06.149906 : Epoch  6, Batch   1176, Loss  0.875745, Average Loss  0.870205, Time  0.265704
2021-09-16 08:14:06.182413 : Epoch  4, Batch    972, Loss  0.849165, Average Loss  0.869875, Time  0.240269
2021-09-16 08:14:08.763413 : Epoch  4, Batch    973, Loss  0.865482, Average Loss  0.870013, Time  0.241181
2021-09-16 08:14:09.131675 : Epoch  6, Batch   1177, Loss  0.869796, Average Loss  0.870191, Time  0.265342
2021-09-16 08:14:11.350797 : Epoch  4, Batch    974, Loss  0.891553, Average Loss  0.870135, Time  0.240265
2021-09-16 08:14:12.110607 : Epoch  6, Batch   1178, Loss  0.866366, Average Loss  0.870207, Time  0.266362
2021-09-16 08:14:13.958625 : Epoch  4, Batch    975, Loss  0.886934, Average Loss  0.870209, Time  0.241008
2021-09-16 08:14:15.096541 : Epoch  6, Batch   1179, Loss  0.880869, Average Loss  0.870182, Time  0.266079
2021-09-16 08:14:16.552458 : Epoch  4, Batch    976, Loss  0.868330, Average Loss  0.870262, Time  0.241863
2021-09-16 08:14:18.117038 : Epoch  6, Batch   1180, Loss  0.875687, Average Loss  0.870217, Time  0.266751
2021-09-16 08:14:19.157441 : Epoch  4, Batch    977, Loss  0.872022, Average Loss  0.870349, Time  0.241409
2021-09-16 08:14:21.121901 : Epoch  6, Batch   1181, Loss  0.860203, Average Loss  0.870145, Time  0.265769
2021-09-16 08:14:21.745899 : Epoch  4, Batch    978, Loss  0.874562, Average Loss  0.870378, Time  0.240921
2021-09-16 08:14:24.100407 : Epoch  6, Batch   1182, Loss  0.882158, Average Loss  0.870220, Time  0.276388
2021-09-16 08:14:24.367439 : Epoch  4, Batch    979, Loss  0.881085, Average Loss  0.870467, Time  0.241384
2021-09-16 08:14:26.948832 : Epoch  4, Batch    980, Loss  0.871568, Average Loss  0.870436, Time  0.240770
2021-09-16 08:14:27.075430 : Epoch  6, Batch   1183, Loss  0.871863, Average Loss  0.870339, Time  0.267045
2021-09-16 08:14:29.555406 : Epoch  4, Batch    981, Loss  0.857048, Average Loss  0.870359, Time  0.240103
2021-09-16 08:14:30.046299 : Epoch  6, Batch   1184, Loss  0.850600, Average Loss  0.870299, Time  0.266000
2021-09-16 08:14:32.161407 : Epoch  4, Batch    982, Loss  0.884369, Average Loss  0.870398, Time  0.239972
2021-09-16 08:14:33.025865 : Epoch  6, Batch   1185, Loss  0.866705, Average Loss  0.870266, Time  0.265391
2021-09-16 08:14:34.749155 : Epoch  4, Batch    983, Loss  0.865250, Average Loss  0.870444, Time  0.240661
2021-09-16 08:14:35.995968 : Epoch  6, Batch   1186, Loss  0.855407, Average Loss  0.870095, Time  0.266350
2021-09-16 08:14:37.349701 : Epoch  4, Batch    984, Loss  0.878100, Average Loss  0.870552, Time  0.239728
2021-09-16 08:14:38.986053 : Epoch  6, Batch   1187, Loss  0.869156, Average Loss  0.870017, Time  0.264808
2021-09-16 08:14:39.940413 : Epoch  4, Batch    985, Loss  0.868232, Average Loss  0.870525, Time  0.239982
2021-09-16 08:14:41.968569 : Epoch  6, Batch   1188, Loss  0.870784, Average Loss  0.870073, Time  0.265639
2021-09-16 08:14:42.536683 : Epoch  4, Batch    986, Loss  0.874493, Average Loss  0.870614, Time  0.240619
2021-09-16 08:14:44.951654 : Epoch  6, Batch   1189, Loss  0.880697, Average Loss  0.870072, Time  0.266093
2021-09-16 08:14:45.134693 : Epoch  4, Batch    987, Loss  0.888442, Average Loss  0.870652, Time  0.239867
2021-09-16 08:14:47.721794 : Epoch  4, Batch    988, Loss  0.888891, Average Loss  0.870693, Time  0.240415
2021-09-16 08:14:47.924438 : Epoch  6, Batch   1190, Loss  0.854023, Average Loss  0.870035, Time  0.266428
2021-09-16 08:14:50.320421 : Epoch  4, Batch    989, Loss  0.862340, Average Loss  0.870615, Time  0.240366
2021-09-16 08:14:50.943080 : Epoch  6, Batch   1191, Loss  0.872544, Average Loss  0.870089, Time  0.266049
2021-09-16 08:14:52.914808 : Epoch  4, Batch    990, Loss  0.872526, Average Loss  0.870582, Time  0.244328
2021-09-16 08:14:53.950309 : Epoch  6, Batch   1192, Loss  0.878524, Average Loss  0.870180, Time  0.267982
2021-09-16 08:14:55.500696 : Epoch  4, Batch    991, Loss  0.871301, Average Loss  0.870515, Time  0.241137
2021-09-16 08:14:56.958501 : Epoch  6, Batch   1193, Loss  0.888981, Average Loss  0.870335, Time  0.264768
2021-09-16 08:14:58.094690 : Epoch  4, Batch    992, Loss  0.866815, Average Loss  0.870437, Time  0.239971
2021-09-16 08:14:59.969022 : Epoch  6, Batch   1194, Loss  0.875796, Average Loss  0.870348, Time  0.267110
2021-09-16 08:15:00.679144 : Epoch  4, Batch    993, Loss  0.859558, Average Loss  0.870428, Time  0.243958
2021-09-16 08:15:02.960270 : Epoch  6, Batch   1195, Loss  0.865237, Average Loss  0.870205, Time  0.266654
2021-09-16 08:15:03.275958 : Epoch  4, Batch    994, Loss  0.894875, Average Loss  0.870477, Time  0.240068
2021-09-16 08:15:05.885395 : Epoch  4, Batch    995, Loss  0.882752, Average Loss  0.870466, Time  0.240000
2021-09-16 08:15:05.937201 : Epoch  6, Batch   1196, Loss  0.865850, Average Loss  0.870232, Time  0.265271
2021-09-16 08:15:08.472171 : Epoch  4, Batch    996, Loss  0.873268, Average Loss  0.870500, Time  0.240269
2021-09-16 08:15:08.924500 : Epoch  6, Batch   1197, Loss  0.874203, Average Loss  0.870241, Time  0.278002
2021-09-16 08:15:11.067990 : Epoch  4, Batch    997, Loss  0.855877, Average Loss  0.870515, Time  0.241051
2021-09-16 08:15:11.883686 : Epoch  6, Batch   1198, Loss  0.863553, Average Loss  0.870230, Time  0.265675
2021-09-16 08:15:13.663242 : Epoch  4, Batch    998, Loss  0.861869, Average Loss  0.870501, Time  0.244613
2021-09-16 08:15:14.860849 : Epoch  6, Batch   1199, Loss  0.868982, Average Loss  0.870293, Time  0.265884
2021-09-16 08:15:16.258391 : Epoch  4, Batch    999, Loss  0.878931, Average Loss  0.870387, Time  0.241217
2021-09-16 08:15:17.839465 : Epoch  6, Batch   1200, Loss  0.872341, Average Loss  0.870358, Time  0.264995
2021-09-16 08:15:18.856003 : Epoch  4, Batch   1000, Loss  0.888547, Average Loss  0.870370, Time  0.240159
2021-09-16 08:15:20.837149 : Epoch  6, Batch   1201, Loss  0.850448, Average Loss  0.870212, Time  0.265546
2021-09-16 08:15:21.457244 : Epoch  4, Batch   1001, Loss  0.860516, Average Loss  0.870360, Time  0.241035
2021-09-16 08:15:23.823469 : Epoch  6, Batch   1202, Loss  0.874186, Average Loss  0.870260, Time  0.265234
2021-09-16 08:15:24.060979 : Epoch  4, Batch   1002, Loss  0.856744, Average Loss  0.870287, Time  0.241240
2021-09-16 08:15:26.649454 : Epoch  4, Batch   1003, Loss  0.870887, Average Loss  0.870195, Time  0.239920
2021-09-16 08:15:26.818471 : Epoch  6, Batch   1203, Loss  0.875375, Average Loss  0.870311, Time  0.265359
2021-09-16 08:15:29.240997 : Epoch  4, Batch   1004, Loss  0.844571, Average Loss  0.870133, Time  0.240304
2021-09-16 08:15:29.802659 : Epoch  6, Batch   1204, Loss  0.857058, Average Loss  0.870250, Time  0.265210
2021-09-16 08:15:31.827808 : Epoch  4, Batch   1005, Loss  0.880515, Average Loss  0.870139, Time  0.240345
2021-09-16 08:15:32.787201 : Epoch  6, Batch   1205, Loss  0.864235, Average Loss  0.870242, Time  0.264953
2021-09-16 08:15:34.424445 : Epoch  4, Batch   1006, Loss  0.870580, Average Loss  0.870089, Time  0.241297
2021-09-16 08:15:35.792058 : Epoch  6, Batch   1206, Loss  0.869006, Average Loss  0.870324, Time  0.264802
2021-09-16 08:15:37.027517 : Epoch  4, Batch   1007, Loss  0.904481, Average Loss  0.870221, Time  0.241312
2021-09-16 08:15:38.819977 : Epoch  6, Batch   1207, Loss  0.870392, Average Loss  0.870259, Time  0.265813
2021-09-16 08:15:39.613186 : Epoch  4, Batch   1008, Loss  0.868562, Average Loss  0.870173, Time  0.240276
2021-09-16 08:15:41.823295 : Epoch  6, Batch   1208, Loss  0.867672, Average Loss  0.870318, Time  0.266895
2021-09-16 08:15:42.216668 : Epoch  4, Batch   1009, Loss  0.861132, Average Loss  0.870233, Time  0.242202
2021-09-16 08:15:44.807382 : Epoch  4, Batch   1010, Loss  0.848504, Average Loss  0.870086, Time  0.241044
2021-09-16 08:15:44.849830 : Epoch  6, Batch   1209, Loss  0.859839, Average Loss  0.870244, Time  0.265260
2021-09-16 08:15:47.407277 : Epoch  4, Batch   1011, Loss  0.877586, Average Loss  0.870160, Time  0.239895
2021-09-16 08:15:47.873340 : Epoch  6, Batch   1210, Loss  0.856567, Average Loss  0.870104, Time  0.265941
2021-09-16 08:15:49.999388 : Epoch  4, Batch   1012, Loss  0.858612, Average Loss  0.870099, Time  0.240852
2021-09-16 08:15:50.895911 : Epoch  6, Batch   1211, Loss  0.879090, Average Loss  0.870132, Time  0.266618
2021-09-16 08:15:52.578317 : Epoch  4, Batch   1013, Loss  0.901855, Average Loss  0.870246, Time  0.240115
2021-09-16 08:15:53.909719 : Epoch  6, Batch   1212, Loss  0.858242, Average Loss  0.870088, Time  0.276747
2021-09-16 08:15:55.176831 : Epoch  4, Batch   1014, Loss  0.872659, Average Loss  0.870168, Time  0.240379
2021-09-16 08:15:56.899138 : Epoch  6, Batch   1213, Loss  0.842661, Average Loss  0.869909, Time  0.267399
2021-09-16 08:15:57.767625 : Epoch  4, Batch   1015, Loss  0.859255, Average Loss  0.870130, Time  0.240612
2021-09-16 08:15:59.916479 : Epoch  6, Batch   1214, Loss  0.862326, Average Loss  0.869774, Time  0.265737
2021-09-16 08:16:00.354931 : Epoch  4, Batch   1016, Loss  0.865953, Average Loss  0.870130, Time  0.239945
2021-09-16 08:16:02.926678 : Epoch  6, Batch   1215, Loss  0.869939, Average Loss  0.869709, Time  0.265830
2021-09-16 08:16:02.936821 : Epoch  4, Batch   1017, Loss  0.858063, Average Loss  0.870065, Time  0.239937
2021-09-16 08:16:05.545943 : Epoch  4, Batch   1018, Loss  0.871182, Average Loss  0.870045, Time  0.240525
2021-09-16 08:16:05.906571 : Epoch  6, Batch   1216, Loss  0.862488, Average Loss  0.869704, Time  0.266452
2021-09-16 08:16:08.158616 : Epoch  4, Batch   1019, Loss  0.870682, Average Loss  0.869986, Time  0.239750
2021-09-16 08:16:08.881647 : Epoch  6, Batch   1217, Loss  0.874568, Average Loss  0.869719, Time  0.265176
2021-09-16 08:16:10.759929 : Epoch  4, Batch   1020, Loss  0.865734, Average Loss  0.870048, Time  0.239981
2021-09-16 08:16:11.893240 : Epoch  6, Batch   1218, Loss  0.888497, Average Loss  0.869848, Time  0.266272
2021-09-16 08:16:13.363951 : Epoch  4, Batch   1021, Loss  0.858160, Average Loss  0.870067, Time  0.241210
2021-09-16 08:16:14.905912 : Epoch  6, Batch   1219, Loss  0.869958, Average Loss  0.869908, Time  0.266157
2021-09-16 08:16:15.954868 : Epoch  4, Batch   1022, Loss  0.882244, Average Loss  0.870049, Time  0.240634
2021-09-16 08:16:17.890495 : Epoch  6, Batch   1220, Loss  0.864660, Average Loss  0.869816, Time  0.265430
2021-09-16 08:16:18.560921 : Epoch  4, Batch   1023, Loss  0.835501, Average Loss  0.869856, Time  0.241298
2021-09-16 08:16:21.151218 : Epoch  4, Batch   1024, Loss  0.876601, Average Loss  0.869827, Time  0.240336
2021-09-16 08:16:23.750114 : Epoch  4, Batch   1025, Loss  0.883245, Average Loss  0.869817, Time  0.241307
2021-09-16 08:16:26.350912 : Epoch  4, Batch   1026, Loss  0.856329, Average Loss  0.869728, Time  0.241204
2021-09-16 08:16:28.952181 : Epoch  4, Batch   1027, Loss  0.873103, Average Loss  0.869695, Time  0.240948
2021-09-16 08:16:31.557888 : Epoch  4, Batch   1028, Loss  0.859735, Average Loss  0.869685, Time  0.241091
2021-09-16 08:16:34.145840 : Epoch  4, Batch   1029, Loss  0.856406, Average Loss  0.869578, Time  0.240463
2021-09-16 08:16:36.746605 : Epoch  4, Batch   1030, Loss  0.870646, Average Loss  0.869616, Time  0.241117
2021-09-16 08:16:39.331057 : Epoch  4, Batch   1031, Loss  0.873542, Average Loss  0.869661, Time  0.240790
2021-09-16 08:16:41.937959 : Epoch  4, Batch   1032, Loss  0.848439, Average Loss  0.869515, Time  0.240923
2021-09-16 08:20:44.143742 : CheckPoint: Validation Loss  0.00030842, Best Loss  0.00029226
2021-09-16 08:20:46.763194 : Epoch  4, Batch   1033, Loss  0.880426, Average Loss  0.869551, Time  0.273019
2021-09-16 08:20:49.366063 : Epoch  4, Batch   1034, Loss  0.869191, Average Loss  0.869589, Time  0.252301
2021-09-16 08:20:51.974044 : Epoch  4, Batch   1035, Loss  0.873461, Average Loss  0.869665, Time  0.241599
2021-09-16 08:20:54.564990 : Epoch  4, Batch   1036, Loss  0.841535, Average Loss  0.869525, Time  0.241418
2021-09-16 08:20:57.151967 : Epoch  4, Batch   1037, Loss  0.855859, Average Loss  0.869483, Time  0.239918
2021-09-16 08:20:59.749088 : Epoch  4, Batch   1038, Loss  0.884769, Average Loss  0.869526, Time  0.241032
2021-09-16 08:20:59.913229 : CheckPoint: Validation Loss  0.00029920, Best Loss  0.00029295
2021-09-16 08:21:02.346113 : Epoch  4, Batch   1039, Loss  0.871998, Average Loss  0.869571, Time  0.241210
2021-09-16 08:21:02.928341 : Epoch  6, Batch   1221, Loss  0.877189, Average Loss  0.869871, Time  0.268007
2021-09-16 08:21:04.932414 : Epoch  4, Batch   1040, Loss  0.877356, Average Loss  0.869582, Time  0.239826
2021-09-16 08:21:05.908013 : Epoch  6, Batch   1222, Loss  0.873444, Average Loss  0.869838, Time  0.265774
2021-09-16 08:21:07.517386 : Epoch  4, Batch   1041, Loss  0.861954, Average Loss  0.869504, Time  0.240411
2021-09-16 08:21:08.922121 : Epoch  6, Batch   1223, Loss  0.857456, Average Loss  0.869608, Time  0.266358
2021-09-16 08:21:10.103419 : Epoch  4, Batch   1042, Loss  0.871860, Average Loss  0.869545, Time  0.241182
2021-09-16 08:21:11.909616 : Epoch  6, Batch   1224, Loss  0.875000, Average Loss  0.869606, Time  0.277016
2021-09-16 08:21:12.674476 : Epoch  4, Batch   1043, Loss  0.880260, Average Loss  0.869676, Time  0.239895
2021-09-16 08:21:14.882015 : Epoch  6, Batch   1225, Loss  0.888158, Average Loss  0.869652, Time  0.265706
2021-09-16 08:21:15.251934 : Epoch  4, Batch   1044, Loss  0.840877, Average Loss  0.869547, Time  0.241166
2021-09-16 08:21:17.817365 : Epoch  4, Batch   1045, Loss  0.857538, Average Loss  0.869503, Time  0.240411
2021-09-16 08:21:17.887127 : Epoch  6, Batch   1226, Loss  0.882974, Average Loss  0.869640, Time  0.265996
2021-09-16 08:21:20.397890 : Epoch  4, Batch   1046, Loss  0.863124, Average Loss  0.869440, Time  0.240284
2021-09-16 08:21:20.882789 : Epoch  6, Batch   1227, Loss  0.881892, Average Loss  0.869786, Time  0.265586
2021-09-16 08:21:22.967944 : Epoch  4, Batch   1047, Loss  0.887202, Average Loss  0.869411, Time  0.240123
2021-09-16 08:21:23.873495 : Epoch  6, Batch   1228, Loss  0.851926, Average Loss  0.869659, Time  0.267020
2021-09-16 08:21:25.549438 : Epoch  4, Batch   1048, Loss  0.896366, Average Loss  0.869487, Time  0.240127
2021-09-16 08:21:26.900921 : Epoch  6, Batch   1229, Loss  0.871490, Average Loss  0.869671, Time  0.265919
2021-09-16 08:21:28.136343 : Epoch  4, Batch   1049, Loss  0.873990, Average Loss  0.869584, Time  0.240160
2021-09-16 08:21:29.907680 : Epoch  6, Batch   1230, Loss  0.872298, Average Loss  0.869711, Time  0.267116
2021-09-16 08:21:30.717130 : Epoch  4, Batch   1050, Loss  0.861598, Average Loss  0.869538, Time  0.240369
2021-09-16 08:21:32.903236 : Epoch  6, Batch   1231, Loss  0.866254, Average Loss  0.869637, Time  0.265126
2021-09-16 08:21:33.300360 : Epoch  4, Batch   1051, Loss  0.849355, Average Loss  0.869384, Time  0.239925
2021-09-16 08:21:35.868813 : Epoch  4, Batch   1052, Loss  0.859541, Average Loss  0.869348, Time  0.242402
2021-09-16 08:21:35.904580 : Epoch  6, Batch   1232, Loss  0.859153, Average Loss  0.869618, Time  0.265812
2021-09-16 08:21:38.467389 : Epoch  4, Batch   1053, Loss  0.860438, Average Loss  0.869283, Time  0.240261
2021-09-16 08:21:38.875386 : Epoch  6, Batch   1233, Loss  0.885976, Average Loss  0.869712, Time  0.266586
2021-09-16 08:21:41.045239 : Epoch  4, Batch   1054, Loss  0.866796, Average Loss  0.869291, Time  0.240020
2021-09-16 08:21:41.859489 : Epoch  6, Batch   1234, Loss  0.883261, Average Loss  0.869745, Time  0.266610
2021-09-16 08:21:43.629553 : Epoch  4, Batch   1055, Loss  0.872554, Average Loss  0.869157, Time  0.239638
2021-09-16 08:21:44.877010 : Epoch  6, Batch   1235, Loss  0.889027, Average Loss  0.869836, Time  0.265451
2021-09-16 08:21:46.210412 : Epoch  4, Batch   1056, Loss  0.874333, Average Loss  0.869240, Time  0.240539
2021-09-16 08:21:47.850662 : Epoch  6, Batch   1236, Loss  0.884720, Average Loss  0.869909, Time  0.265198
2021-09-16 08:21:48.799234 : Epoch  4, Batch   1057, Loss  0.860644, Average Loss  0.869277, Time  0.239645
2021-09-16 08:21:50.846327 : Epoch  6, Batch   1237, Loss  0.872477, Average Loss  0.869868, Time  0.266524
2021-09-16 08:21:51.379838 : Epoch  4, Batch   1058, Loss  0.866992, Average Loss  0.869254, Time  0.240156
2021-09-16 08:21:53.837986 : Epoch  6, Batch   1238, Loss  0.869717, Average Loss  0.869846, Time  0.265606
2021-09-16 08:21:53.967194 : Epoch  4, Batch   1059, Loss  0.868418, Average Loss  0.869232, Time  0.240410
2021-09-16 08:21:56.538202 : Epoch  4, Batch   1060, Loss  0.872065, Average Loss  0.869279, Time  0.240860
2021-09-16 08:21:56.837759 : Epoch  6, Batch   1239, Loss  0.876893, Average Loss  0.869822, Time  0.278411
2021-09-16 08:21:59.133844 : Epoch  4, Batch   1061, Loss  0.880586, Average Loss  0.869273, Time  0.240697
2021-09-16 08:21:59.817644 : Epoch  6, Batch   1240, Loss  0.837407, Average Loss  0.869695, Time  0.266894
2021-09-16 08:22:01.727490 : Epoch  4, Batch   1062, Loss  0.890957, Average Loss  0.869418, Time  0.242206
2021-09-16 08:22:02.832525 : Epoch  6, Batch   1241, Loss  0.880179, Average Loss  0.869650, Time  0.266253
2021-09-16 08:22:04.303488 : Epoch  4, Batch   1063, Loss  0.855588, Average Loss  0.869330, Time  0.240963
2021-09-16 08:22:05.848421 : Epoch  6, Batch   1242, Loss  0.891223, Average Loss  0.869815, Time  0.265763
2021-09-16 08:22:06.887271 : Epoch  4, Batch   1064, Loss  0.870550, Average Loss  0.869252, Time  0.240634
2021-09-16 08:22:08.861096 : Epoch  6, Batch   1243, Loss  0.893260, Average Loss  0.869882, Time  0.265465
2021-09-16 08:22:09.469815 : Epoch  4, Batch   1065, Loss  0.850909, Average Loss  0.869192, Time  0.241221
2021-09-16 08:22:11.842637 : Epoch  6, Batch   1244, Loss  0.878349, Average Loss  0.869973, Time  0.265503
2021-09-16 08:22:12.048558 : Epoch  4, Batch   1066, Loss  0.886202, Average Loss  0.869283, Time  0.241011
2021-09-16 08:22:14.618947 : Epoch  4, Batch   1067, Loss  0.857095, Average Loss  0.869218, Time  0.240821
2021-09-16 08:22:14.795910 : Epoch  6, Batch   1245, Loss  0.867356, Average Loss  0.869954, Time  0.265548
2021-09-16 08:22:17.205558 : Epoch  4, Batch   1068, Loss  0.871198, Average Loss  0.869169, Time  0.240028
2021-09-16 08:22:17.761074 : Epoch  6, Batch   1246, Loss  0.897410, Average Loss  0.870049, Time  0.265007
2021-09-16 08:22:19.783137 : Epoch  4, Batch   1069, Loss  0.874068, Average Loss  0.869098, Time  0.240155
2021-09-16 08:22:20.761631 : Epoch  6, Batch   1247, Loss  0.852251, Average Loss  0.869918, Time  0.265834
2021-09-16 08:22:22.363990 : Epoch  4, Batch   1070, Loss  0.876372, Average Loss  0.869039, Time  0.240876
2021-09-16 08:22:23.742731 : Epoch  6, Batch   1248, Loss  0.862714, Average Loss  0.869809, Time  0.266165
2021-09-16 08:22:24.943060 : Epoch  4, Batch   1071, Loss  0.869208, Average Loss  0.869115, Time  0.239957
2021-09-16 08:22:26.759672 : Epoch  6, Batch   1249, Loss  0.853057, Average Loss  0.869666, Time  0.265373
2021-09-16 08:22:27.534944 : Epoch  4, Batch   1072, Loss  0.869315, Average Loss  0.869041, Time  0.240400
2021-09-16 08:22:29.744119 : Epoch  6, Batch   1250, Loss  0.835739, Average Loss  0.869539, Time  0.266102
2021-09-16 08:22:30.120781 : Epoch  4, Batch   1073, Loss  0.891651, Average Loss  0.869216, Time  0.240146
2021-09-16 08:22:32.691232 : Epoch  4, Batch   1074, Loss  0.889012, Average Loss  0.869193, Time  0.240014
2021-09-16 08:22:32.773049 : Epoch  6, Batch   1251, Loss  0.879463, Average Loss  0.869525, Time  0.268834
2021-09-16 08:22:35.273992 : Epoch  4, Batch   1075, Loss  0.889275, Average Loss  0.869354, Time  0.240301
2021-09-16 08:22:35.775132 : Epoch  6, Batch   1252, Loss  0.880511, Average Loss  0.869561, Time  0.265614
2021-09-16 08:22:37.893156 : Epoch  4, Batch   1076, Loss  0.883930, Average Loss  0.869419, Time  0.241381
2021-09-16 08:22:38.764250 : Epoch  6, Batch   1253, Loss  0.875697, Average Loss  0.869647, Time  0.266358
2021-09-16 08:22:40.474892 : Epoch  4, Batch   1077, Loss  0.871234, Average Loss  0.869403, Time  0.239964
2021-09-16 08:22:41.770288 : Epoch  6, Batch   1254, Loss  0.844913, Average Loss  0.869462, Time  0.278663
2021-09-16 08:22:43.065897 : Epoch  4, Batch   1078, Loss  0.859572, Average Loss  0.869294, Time  0.240445
2021-09-16 08:22:44.754741 : Epoch  6, Batch   1255, Loss  0.871399, Average Loss  0.869491, Time  0.267488
2021-09-16 08:22:45.650932 : Epoch  4, Batch   1079, Loss  0.848959, Average Loss  0.869177, Time  0.241623
2021-09-16 08:22:47.768890 : Epoch  6, Batch   1256, Loss  0.883320, Average Loss  0.869618, Time  0.266442
2021-09-16 08:22:48.244269 : Epoch  4, Batch   1080, Loss  0.856447, Average Loss  0.868966, Time  0.241104
2021-09-16 08:22:50.777950 : Epoch  6, Batch   1257, Loss  0.843656, Average Loss  0.869545, Time  0.265421
2021-09-16 08:22:50.817259 : Epoch  4, Batch   1081, Loss  0.869285, Average Loss  0.868965, Time  0.240083
2021-09-16 08:22:53.392927 : Epoch  4, Batch   1082, Loss  0.884818, Average Loss  0.869146, Time  0.240815
2021-09-16 08:22:53.772681 : Epoch  6, Batch   1258, Loss  0.864890, Average Loss  0.869540, Time  0.265249
2021-09-16 08:22:55.980935 : Epoch  4, Batch   1083, Loss  0.884762, Average Loss  0.869186, Time  0.241748
2021-09-16 08:22:56.773008 : Epoch  6, Batch   1259, Loss  0.871354, Average Loss  0.869518, Time  0.266166
2021-09-16 08:22:58.565947 : Epoch  4, Batch   1084, Loss  0.874711, Average Loss  0.869241, Time  0.240280
2021-09-16 08:22:59.740348 : Epoch  6, Batch   1260, Loss  0.866231, Average Loss  0.869485, Time  0.265282
2021-09-16 08:23:01.160009 : Epoch  4, Batch   1085, Loss  0.880064, Average Loss  0.869310, Time  0.240331
2021-09-16 08:23:02.736429 : Epoch  6, Batch   1261, Loss  0.868158, Average Loss  0.869491, Time  0.265426
2021-09-16 08:23:03.750066 : Epoch  4, Batch   1086, Loss  0.880732, Average Loss  0.869446, Time  0.241543
2021-09-16 08:23:05.731654 : Epoch  6, Batch   1262, Loss  0.873334, Average Loss  0.869349, Time  0.265647
2021-09-16 08:23:06.345121 : Epoch  4, Batch   1087, Loss  0.859528, Average Loss  0.869318, Time  0.240181
2021-09-16 08:23:08.727701 : Epoch  6, Batch   1263, Loss  0.850700, Average Loss  0.869255, Time  0.265331
2021-09-16 08:23:08.930221 : Epoch  4, Batch   1088, Loss  0.874064, Average Loss  0.869429, Time  0.241519
2021-09-16 08:23:11.507823 : Epoch  4, Batch   1089, Loss  0.879404, Average Loss  0.869497, Time  0.240379
2021-09-16 08:23:11.724544 : Epoch  6, Batch   1264, Loss  0.848982, Average Loss  0.869180, Time  0.266521
2021-09-16 08:23:14.091960 : Epoch  4, Batch   1090, Loss  0.886963, Average Loss  0.869548, Time  0.241008
2021-09-16 08:23:14.743478 : Epoch  6, Batch   1265, Loss  0.857989, Average Loss  0.869125, Time  0.264938
2021-09-16 08:23:16.672508 : Epoch  4, Batch   1091, Loss  0.887966, Average Loss  0.869694, Time  0.239744
2021-09-16 08:23:17.728318 : Epoch  6, Batch   1266, Loss  0.865698, Average Loss  0.869170, Time  0.266040
2021-09-16 08:23:19.249004 : Epoch  4, Batch   1092, Loss  0.870864, Average Loss  0.869856, Time  0.239903
2021-09-16 08:23:20.710239 : Epoch  6, Batch   1267, Loss  0.865453, Average Loss  0.869117, Time  0.265593
2021-09-16 08:23:21.831380 : Epoch  4, Batch   1093, Loss  0.870943, Average Loss  0.869737, Time  0.239982
2021-09-16 08:23:23.689129 : Epoch  6, Batch   1268, Loss  0.862926, Average Loss  0.868984, Time  0.265260
2021-09-16 08:23:24.422804 : Epoch  4, Batch   1094, Loss  0.878777, Average Loss  0.869765, Time  0.239989
2021-09-16 08:23:26.683191 : Epoch  6, Batch   1269, Loss  0.870254, Average Loss  0.868909, Time  0.273605
2021-09-16 08:23:27.009201 : Epoch  4, Batch   1095, Loss  0.886635, Average Loss  0.869847, Time  0.239966
2021-09-16 08:23:29.587451 : Epoch  4, Batch   1096, Loss  0.866735, Average Loss  0.869880, Time  0.239870
2021-09-16 08:23:29.677628 : Epoch  6, Batch   1270, Loss  0.859767, Average Loss  0.868927, Time  0.266231
2021-09-16 08:23:32.162393 : Epoch  4, Batch   1097, Loss  0.872605, Average Loss  0.869893, Time  0.239913
2021-09-16 08:23:32.650842 : Epoch  6, Batch   1271, Loss  0.858257, Average Loss  0.868854, Time  0.267045
2021-09-16 08:23:34.743968 : Epoch  4, Batch   1098, Loss  0.884866, Average Loss  0.870000, Time  0.240227
2021-09-16 08:23:35.590846 : Epoch  6, Batch   1272, Loss  0.864107, Average Loss  0.868763, Time  0.264487
2021-09-16 08:23:37.344490 : Epoch  4, Batch   1099, Loss  0.885371, Average Loss  0.870027, Time  0.239481
2021-09-16 08:23:38.610869 : Epoch  6, Batch   1273, Loss  0.860704, Average Loss  0.868688, Time  0.267686
2021-09-16 08:23:39.926959 : Epoch  4, Batch   1100, Loss  0.880480, Average Loss  0.870024, Time  0.239866
2021-09-16 08:23:41.617741 : Epoch  6, Batch   1274, Loss  0.850316, Average Loss  0.868674, Time  0.266357
2021-09-16 08:23:42.520271 : Epoch  4, Batch   1101, Loss  0.852364, Average Loss  0.869983, Time  0.241030
2021-09-16 08:23:44.641002 : Epoch  6, Batch   1275, Loss  0.878616, Average Loss  0.868724, Time  0.266092
2021-09-16 08:23:45.106390 : Epoch  4, Batch   1102, Loss  0.867018, Average Loss  0.870003, Time  0.239861
2021-09-16 08:23:47.659581 : Epoch  6, Batch   1276, Loss  0.868482, Average Loss  0.868742, Time  0.265940
2021-09-16 08:23:47.685619 : Epoch  4, Batch   1103, Loss  0.863643, Average Loss  0.869994, Time  0.240049
2021-09-16 08:23:50.273060 : Epoch  4, Batch   1104, Loss  0.880966, Average Loss  0.870126, Time  0.241168
2021-09-16 08:23:50.661122 : Epoch  6, Batch   1277, Loss  0.849458, Average Loss  0.868482, Time  0.266194
2021-09-16 08:23:52.868311 : Epoch  4, Batch   1105, Loss  0.880796, Average Loss  0.870150, Time  0.242136
2021-09-16 08:23:53.652958 : Epoch  6, Batch   1278, Loss  0.870077, Average Loss  0.868491, Time  0.266278
2021-09-16 08:23:55.457533 : Epoch  4, Batch   1106, Loss  0.878362, Average Loss  0.870212, Time  0.240243
2021-09-16 08:23:56.631400 : Epoch  6, Batch   1279, Loss  0.851714, Average Loss  0.868411, Time  0.264996
2021-09-16 08:23:58.039958 : Epoch  4, Batch   1107, Loss  0.880740, Average Loss  0.870260, Time  0.241127
2021-09-16 08:23:59.615039 : Epoch  6, Batch   1280, Loss  0.890227, Average Loss  0.868501, Time  0.266721
2021-09-16 08:24:00.641815 : Epoch  4, Batch   1108, Loss  0.860498, Average Loss  0.870273, Time  0.240172
2021-09-16 08:24:02.622573 : Epoch  6, Batch   1281, Loss  0.874926, Average Loss  0.868565, Time  0.265354
2021-09-16 08:24:03.231601 : Epoch  4, Batch   1109, Loss  0.862091, Average Loss  0.870191, Time  0.241027
2021-09-16 08:24:05.651519 : Epoch  6, Batch   1282, Loss  0.890201, Average Loss  0.868703, Time  0.266261
2021-09-16 08:24:05.809465 : Epoch  4, Batch   1110, Loss  0.871162, Average Loss  0.870289, Time  0.239900
2021-09-16 08:24:08.399773 : Epoch  4, Batch   1111, Loss  0.879143, Average Loss  0.870431, Time  0.240274
2021-09-16 08:24:08.693763 : Epoch  6, Batch   1283, Loss  0.870215, Average Loss  0.868637, Time  0.265911
2021-09-16 08:24:11.011202 : Epoch  4, Batch   1112, Loss  0.863306, Average Loss  0.870433, Time  0.241685
2021-09-16 08:24:11.681829 : Epoch  6, Batch   1284, Loss  0.860229, Average Loss  0.868612, Time  0.279207
2021-09-16 08:24:13.605568 : Epoch  4, Batch   1113, Loss  0.863751, Average Loss  0.870479, Time  0.240073
2021-09-16 08:24:14.667967 : Epoch  6, Batch   1285, Loss  0.881344, Average Loss  0.868657, Time  0.266594
2021-09-16 08:24:16.191008 : Epoch  4, Batch   1114, Loss  0.855104, Average Loss  0.870408, Time  0.241143
2021-09-16 08:24:17.649532 : Epoch  6, Batch   1286, Loss  0.859773, Average Loss  0.868603, Time  0.266388
2021-09-16 08:24:18.773028 : Epoch  4, Batch   1115, Loss  0.882230, Average Loss  0.870544, Time  0.240083
2021-09-16 08:24:20.657808 : Epoch  6, Batch   1287, Loss  0.878558, Average Loss  0.868668, Time  0.265464
2021-09-16 08:24:21.355001 : Epoch  4, Batch   1116, Loss  0.882411, Average Loss  0.870557, Time  0.240125
2021-09-16 08:24:23.652642 : Epoch  6, Batch   1288, Loss  0.867939, Average Loss  0.868673, Time  0.266247
2021-09-16 08:24:23.943426 : Epoch  4, Batch   1117, Loss  0.870093, Average Loss  0.870584, Time  0.240310
2021-09-16 08:24:26.514842 : Epoch  4, Batch   1118, Loss  0.861606, Average Loss  0.870605, Time  0.240572
2021-09-16 08:24:26.675816 : Epoch  6, Batch   1289, Loss  0.873317, Average Loss  0.868819, Time  0.266471
2021-09-16 08:24:29.108980 : Epoch  4, Batch   1119, Loss  0.861804, Average Loss  0.870585, Time  0.240027
2021-09-16 08:24:29.714011 : Epoch  6, Batch   1290, Loss  0.871476, Average Loss  0.869000, Time  0.266660
2021-09-16 08:24:31.696165 : Epoch  4, Batch   1120, Loss  0.853235, Average Loss  0.870468, Time  0.240377
2021-09-16 08:24:32.739417 : Epoch  6, Batch   1291, Loss  0.871870, Average Loss  0.869120, Time  0.267625
2021-09-16 08:24:34.300535 : Epoch  4, Batch   1121, Loss  0.874293, Average Loss  0.870608, Time  0.239745
2021-09-16 08:24:35.740256 : Epoch  6, Batch   1292, Loss  0.867538, Average Loss  0.869056, Time  0.265416
2021-09-16 08:24:36.883814 : Epoch  4, Batch   1122, Loss  0.878375, Average Loss  0.870627, Time  0.240735
2021-09-16 08:24:38.724407 : Epoch  6, Batch   1293, Loss  0.854212, Average Loss  0.868956, Time  0.265922
2021-09-16 08:24:39.476659 : Epoch  4, Batch   1123, Loss  0.857487, Average Loss  0.870589, Time  0.241543
2021-09-16 08:24:41.748453 : Epoch  6, Batch   1294, Loss  0.848195, Average Loss  0.868856, Time  0.265640
2021-09-16 08:24:42.083364 : Epoch  4, Batch   1124, Loss  0.869983, Average Loss  0.870600, Time  0.240980
2021-09-16 08:24:44.679988 : Epoch  4, Batch   1125, Loss  0.869572, Average Loss  0.870596, Time  0.239846
2021-09-16 08:24:44.735317 : Epoch  6, Batch   1295, Loss  0.860465, Average Loss  0.868875, Time  0.265676
2021-09-16 08:24:47.254039 : Epoch  4, Batch   1126, Loss  0.880533, Average Loss  0.870557, Time  0.239803
2021-09-16 08:24:47.706611 : Epoch  6, Batch   1296, Loss  0.861814, Average Loss  0.868988, Time  0.263996
2021-09-16 08:24:49.829746 : Epoch  4, Batch   1127, Loss  0.841253, Average Loss  0.870383, Time  0.239873
2021-09-16 08:24:50.688396 : Epoch  6, Batch   1297, Loss  0.873904, Average Loss  0.868976, Time  0.266779
2021-09-16 08:24:52.409877 : Epoch  4, Batch   1128, Loss  0.867995, Average Loss  0.870357, Time  0.240409
2021-09-16 08:24:53.694035 : Epoch  6, Batch   1298, Loss  0.882860, Average Loss  0.869129, Time  0.265971
2021-09-16 08:24:55.010045 : Epoch  4, Batch   1129, Loss  0.867452, Average Loss  0.870226, Time  0.240297
2021-09-16 08:24:56.719041 : Epoch  6, Batch   1299, Loss  0.878036, Average Loss  0.869168, Time  0.277380
2021-09-16 08:24:57.591062 : Epoch  4, Batch   1130, Loss  0.882304, Average Loss  0.870303, Time  0.243940
2021-09-16 08:24:59.745509 : Epoch  6, Batch   1300, Loss  0.854461, Average Loss  0.869175, Time  0.266128
2021-09-16 08:25:00.182240 : Epoch  4, Batch   1131, Loss  0.861946, Average Loss  0.870253, Time  0.239725
2021-09-16 08:25:02.725967 : Epoch  6, Batch   1301, Loss  0.871446, Average Loss  0.869262, Time  0.266032
2021-09-16 08:25:02.758656 : Epoch  4, Batch   1132, Loss  0.870758, Average Loss  0.870261, Time  0.241742
2021-09-16 08:25:05.714651 : Epoch  6, Batch   1302, Loss  0.878649, Average Loss  0.869327, Time  0.264752
2021-09-16 08:25:08.721156 : Epoch  6, Batch   1303, Loss  0.880477, Average Loss  0.869254, Time  0.268378
2021-09-16 08:25:11.724896 : Epoch  6, Batch   1304, Loss  0.843383, Average Loss  0.869189, Time  0.265671
2021-09-16 08:25:14.720530 : Epoch  6, Batch   1305, Loss  0.870276, Average Loss  0.869151, Time  0.266432
2021-09-16 08:25:17.711480 : Epoch  6, Batch   1306, Loss  0.875216, Average Loss  0.869142, Time  0.266473
2021-09-16 08:25:20.714374 : Epoch  6, Batch   1307, Loss  0.877029, Average Loss  0.869129, Time  0.265217
2021-09-16 08:25:23.693266 : Epoch  6, Batch   1308, Loss  0.863717, Average Loss  0.869096, Time  0.265855
2021-09-16 08:25:26.681548 : Epoch  6, Batch   1309, Loss  0.867643, Average Loss  0.869136, Time  0.265466
2021-09-16 08:25:29.657938 : Epoch  6, Batch   1310, Loss  0.850450, Average Loss  0.869133, Time  0.265424
2021-09-16 08:25:32.632647 : Epoch  6, Batch   1311, Loss  0.862154, Average Loss  0.869039, Time  0.266632
2021-09-16 08:25:35.656153 : Epoch  6, Batch   1312, Loss  0.864569, Average Loss  0.869083, Time  0.266193
2021-09-16 08:25:38.665477 : Epoch  6, Batch   1313, Loss  0.887914, Average Loss  0.869182, Time  0.266581
2021-09-16 08:25:41.653983 : Epoch  6, Batch   1314, Loss  0.877944, Average Loss  0.869158, Time  0.277636
2021-09-16 08:25:44.633270 : Epoch  6, Batch   1315, Loss  0.865642, Average Loss  0.869087, Time  0.265438
2021-09-16 08:25:47.602401 : Epoch  6, Batch   1316, Loss  0.865098, Average Loss  0.869096, Time  0.265538
2021-09-16 08:25:50.592170 : Epoch  6, Batch   1317, Loss  0.869573, Average Loss  0.869043, Time  0.265831
2021-09-16 08:25:53.566474 : Epoch  6, Batch   1318, Loss  0.866925, Average Loss  0.869099, Time  0.266223
2021-09-16 08:25:56.552494 : Epoch  6, Batch   1319, Loss  0.871575, Average Loss  0.869116, Time  0.265674
2021-09-16 08:25:59.569722 : Epoch  6, Batch   1320, Loss  0.858895, Average Loss  0.869092, Time  0.265821
2021-09-16 08:29:04.661761 : CheckPoint: Validation Loss  0.00030491, Best Loss  0.00029226
2021-09-16 08:29:07.304079 : Epoch  4, Batch   1133, Loss  0.863180, Average Loss  0.870213, Time  0.278712
2021-09-16 08:29:09.910069 : Epoch  4, Batch   1134, Loss  0.856072, Average Loss  0.870107, Time  0.254771
2021-09-16 08:29:12.506133 : Epoch  4, Batch   1135, Loss  0.875666, Average Loss  0.870089, Time  0.240438
2021-09-16 08:29:15.098376 : Epoch  4, Batch   1136, Loss  0.867364, Average Loss  0.870054, Time  0.240796
2021-09-16 08:29:17.685159 : Epoch  4, Batch   1137, Loss  0.873143, Average Loss  0.870059, Time  0.240229
2021-09-16 08:29:20.277400 : Epoch  4, Batch   1138, Loss  0.862573, Average Loss  0.869970, Time  0.240399
2021-09-16 08:29:22.872433 : Epoch  4, Batch   1139, Loss  0.858877, Average Loss  0.869876, Time  0.240276
2021-09-16 08:29:25.458550 : Epoch  4, Batch   1140, Loss  0.865058, Average Loss  0.869771, Time  0.240031
2021-09-16 08:29:28.047217 : Epoch  4, Batch   1141, Loss  0.874894, Average Loss  0.869732, Time  0.240275
2021-09-16 08:29:30.643894 : Epoch  4, Batch   1142, Loss  0.886024, Average Loss  0.869784, Time  0.240649
2021-09-16 08:29:33.242275 : Epoch  4, Batch   1143, Loss  0.873088, Average Loss  0.869903, Time  0.240330
2021-09-16 08:29:35.828035 : Epoch  4, Batch   1144, Loss  0.857087, Average Loss  0.869919, Time  0.241538
2021-09-16 08:29:38.418974 : Epoch  4, Batch   1145, Loss  0.871955, Average Loss  0.870037, Time  0.240120
2021-09-16 08:29:41.018566 : Epoch  4, Batch   1146, Loss  0.846724, Average Loss  0.869885, Time  0.241202
2021-09-16 08:29:43.623929 : Epoch  4, Batch   1147, Loss  0.877043, Average Loss  0.869846, Time  0.249748
2021-09-16 08:29:46.222937 : Epoch  4, Batch   1148, Loss  0.877492, Average Loss  0.869911, Time  0.240587
2021-09-16 08:29:48.814422 : Epoch  4, Batch   1149, Loss  0.871121, Average Loss  0.869999, Time  0.240516
2021-09-16 08:29:51.414903 : Epoch  4, Batch   1150, Loss  0.870302, Average Loss  0.870003, Time  0.241608
2021-09-16 08:29:54.019870 : Epoch  4, Batch   1151, Loss  0.874143, Average Loss  0.869974, Time  0.245894
2021-09-16 08:29:56.616487 : Epoch  4, Batch   1152, Loss  0.873355, Average Loss  0.869973, Time  0.239992
2021-09-16 08:29:59.209690 : Epoch  4, Batch   1153, Loss  0.881577, Average Loss  0.870069, Time  0.240650
2021-09-16 08:30:01.807902 : Epoch  4, Batch   1154, Loss  0.872630, Average Loss  0.870040, Time  0.240025
2021-09-16 08:30:04.414946 : Epoch  4, Batch   1155, Loss  0.848644, Average Loss  0.869983, Time  0.243158
2021-09-16 08:30:07.024898 : Epoch  4, Batch   1156, Loss  0.863282, Average Loss  0.869861, Time  0.241587
2021-09-16 08:30:09.631056 : Epoch  4, Batch   1157, Loss  0.892804, Average Loss  0.869905, Time  0.239984
2021-09-16 08:30:12.215873 : Epoch  4, Batch   1158, Loss  0.869614, Average Loss  0.869855, Time  0.239908
2021-09-16 08:30:14.811914 : Epoch  4, Batch   1159, Loss  0.873215, Average Loss  0.869887, Time  0.239784
2021-09-16 08:30:17.407951 : Epoch  4, Batch   1160, Loss  0.878025, Average Loss  0.869995, Time  0.241025
2021-09-16 08:30:20.000444 : Epoch  4, Batch   1161, Loss  0.871462, Average Loss  0.870089, Time  0.239790
2021-09-16 08:30:22.616018 : Epoch  4, Batch   1162, Loss  0.855329, Average Loss  0.870075, Time  0.241067
2021-09-16 08:30:25.223420 : Epoch  4, Batch   1163, Loss  0.874167, Average Loss  0.870169, Time  0.240163
2021-09-16 08:30:27.824296 : Epoch  4, Batch   1164, Loss  0.868867, Average Loss  0.870147, Time  0.241484
2021-09-16 08:30:30.412505 : Epoch  4, Batch   1165, Loss  0.858152, Average Loss  0.870218, Time  0.239897
2021-09-16 08:30:33.003428 : Epoch  4, Batch   1166, Loss  0.869789, Average Loss  0.870259, Time  0.239697
2021-09-16 08:30:35.606944 : Epoch  4, Batch   1167, Loss  0.881598, Average Loss  0.870226, Time  0.241750
2021-09-16 08:30:38.204169 : Epoch  4, Batch   1168, Loss  0.848433, Average Loss  0.870265, Time  0.241752
2021-09-16 08:30:40.744872 : CheckPoint: Validation Loss  0.00030199, Best Loss  0.00029295
2021-09-16 08:30:40.798159 : Epoch  4, Batch   1169, Loss  0.862535, Average Loss  0.870273, Time  0.241430
2021-09-16 08:30:43.394734 : Epoch  4, Batch   1170, Loss  0.860664, Average Loss  0.870278, Time  0.240810
2021-09-16 08:30:43.749781 : Epoch  6, Batch   1321, Loss  0.856920, Average Loss  0.869012, Time  0.267347
2021-09-16 08:30:45.981189 : Epoch  4, Batch   1171, Loss  0.877342, Average Loss  0.870270, Time  0.240310
2021-09-16 08:30:46.728537 : Epoch  6, Batch   1322, Loss  0.851847, Average Loss  0.868936, Time  0.265396
2021-09-16 08:30:48.573031 : Epoch  4, Batch   1172, Loss  0.881351, Average Loss  0.870431, Time  0.240206
2021-09-16 08:30:49.718052 : Epoch  6, Batch   1323, Loss  0.872371, Average Loss  0.869039, Time  0.264711
2021-09-16 08:30:51.164737 : Epoch  4, Batch   1173, Loss  0.872077, Average Loss  0.870464, Time  0.240691
2021-09-16 08:30:52.729979 : Epoch  6, Batch   1324, Loss  0.857393, Average Loss  0.868998, Time  0.266332
2021-09-16 08:30:53.768884 : Epoch  4, Batch   1174, Loss  0.878534, Average Loss  0.870399, Time  0.243659
2021-09-16 08:30:55.719552 : Epoch  6, Batch   1325, Loss  0.864974, Average Loss  0.868920, Time  0.265863
2021-09-16 08:30:56.356570 : Epoch  4, Batch   1175, Loss  0.868168, Average Loss  0.870305, Time  0.241638
2021-09-16 08:30:58.702770 : Epoch  6, Batch   1326, Loss  0.863757, Average Loss  0.868999, Time  0.264954
2021-09-16 08:30:58.940036 : Epoch  4, Batch   1176, Loss  0.875813, Average Loss  0.870342, Time  0.240235
2021-09-16 08:31:01.522157 : Epoch  4, Batch   1177, Loss  0.862905, Average Loss  0.870297, Time  0.240065
2021-09-16 08:31:01.702058 : Epoch  6, Batch   1327, Loss  0.867617, Average Loss  0.868893, Time  0.275796
2021-09-16 08:31:04.115949 : Epoch  4, Batch   1178, Loss  0.882187, Average Loss  0.870335, Time  0.239876
2021-09-16 08:31:04.682883 : Epoch  6, Batch   1328, Loss  0.882260, Average Loss  0.868962, Time  0.266722
2021-09-16 08:31:06.710388 : Epoch  4, Batch   1179, Loss  0.872315, Average Loss  0.870291, Time  0.239990
2021-09-16 08:31:07.681934 : Epoch  6, Batch   1329, Loss  0.880153, Average Loss  0.868992, Time  0.267044
2021-09-16 08:31:09.327191 : Epoch  4, Batch   1180, Loss  0.870127, Average Loss  0.870284, Time  0.241395
2021-09-16 08:31:10.681323 : Epoch  6, Batch   1330, Loss  0.869013, Average Loss  0.868900, Time  0.266078
2021-09-16 08:31:11.925838 : Epoch  4, Batch   1181, Loss  0.879082, Average Loss  0.870394, Time  0.240254
2021-09-16 08:31:13.685377 : Epoch  6, Batch   1331, Loss  0.862558, Average Loss  0.868925, Time  0.266329
2021-09-16 08:31:14.522831 : Epoch  4, Batch   1182, Loss  0.863069, Average Loss  0.870287, Time  0.240086
2021-09-16 08:31:16.692048 : Epoch  6, Batch   1332, Loss  0.880374, Average Loss  0.868941, Time  0.266114
2021-09-16 08:31:17.135375 : Epoch  4, Batch   1183, Loss  0.872148, Average Loss  0.870322, Time  0.239972
2021-09-16 08:31:19.713355 : Epoch  6, Batch   1333, Loss  0.863742, Average Loss  0.868895, Time  0.266037
2021-09-16 08:31:19.717539 : Epoch  4, Batch   1184, Loss  0.868545, Average Loss  0.870274, Time  0.239996
2021-09-16 08:31:22.317136 : Epoch  4, Batch   1185, Loss  0.868591, Average Loss  0.870276, Time  0.240251
2021-09-16 08:31:22.727311 : Epoch  6, Batch   1334, Loss  0.882547, Average Loss  0.868954, Time  0.266124
2021-09-16 08:31:24.933107 : Epoch  4, Batch   1186, Loss  0.867592, Average Loss  0.870241, Time  0.243196
2021-09-16 08:31:25.731467 : Epoch  6, Batch   1335, Loss  0.882218, Average Loss  0.869109, Time  0.267074
2021-09-16 08:31:27.542075 : Epoch  4, Batch   1187, Loss  0.861806, Average Loss  0.870108, Time  0.239928
2021-09-16 08:31:28.750945 : Epoch  6, Batch   1336, Loss  0.881342, Average Loss  0.869211, Time  0.266243
2021-09-16 08:31:30.125743 : Epoch  4, Batch   1188, Loss  0.883885, Average Loss  0.870083, Time  0.240074
2021-09-16 08:31:31.771496 : Epoch  6, Batch   1337, Loss  0.872063, Average Loss  0.869218, Time  0.264903
2021-09-16 08:31:32.726972 : Epoch  4, Batch   1189, Loss  0.862264, Average Loss  0.870083, Time  0.241211
2021-09-16 08:31:34.776949 : Epoch  6, Batch   1338, Loss  0.867946, Average Loss  0.869226, Time  0.265334
2021-09-16 08:31:35.327250 : Epoch  4, Batch   1190, Loss  0.861597, Average Loss  0.870028, Time  0.241078
2021-09-16 08:31:37.773700 : Epoch  6, Batch   1339, Loss  0.869542, Average Loss  0.869066, Time  0.266138
2021-09-16 08:31:37.921202 : Epoch  4, Batch   1191, Loss  0.854015, Average Loss  0.869942, Time  0.241542
2021-09-16 08:31:40.505002 : Epoch  4, Batch   1192, Loss  0.859062, Average Loss  0.869903, Time  0.242091
2021-09-16 08:31:40.761959 : Epoch  6, Batch   1340, Loss  0.883936, Average Loss  0.869149, Time  0.265106
2021-09-16 08:31:43.106293 : Epoch  4, Batch   1193, Loss  0.879003, Average Loss  0.870000, Time  0.241191
2021-09-16 08:31:43.771447 : Epoch  6, Batch   1341, Loss  0.864795, Average Loss  0.869023, Time  0.265061
2021-09-16 08:31:45.714433 : Epoch  4, Batch   1194, Loss  0.859375, Average Loss  0.869823, Time  0.241221
2021-09-16 08:31:46.778248 : Epoch  6, Batch   1342, Loss  0.859793, Average Loss  0.868965, Time  0.277322
2021-09-16 08:31:48.335949 : Epoch  4, Batch   1195, Loss  0.859726, Average Loss  0.869708, Time  0.240445
2021-09-16 08:31:49.768064 : Epoch  6, Batch   1343, Loss  0.867553, Average Loss  0.869009, Time  0.266090
2021-09-16 08:31:50.950563 : Epoch  4, Batch   1196, Loss  0.875249, Average Loss  0.869717, Time  0.240310
2021-09-16 08:31:52.779729 : Epoch  6, Batch   1344, Loss  0.863569, Average Loss  0.868895, Time  0.265405
2021-09-16 08:31:53.536012 : Epoch  4, Batch   1197, Loss  0.890393, Average Loss  0.869890, Time  0.240401
2021-09-16 08:31:55.761471 : Epoch  6, Batch   1345, Loss  0.866975, Average Loss  0.868953, Time  0.265283
2021-09-16 08:31:56.142417 : Epoch  4, Batch   1198, Loss  0.877734, Average Loss  0.869969, Time  0.240219
2021-09-16 08:31:58.718989 : Epoch  4, Batch   1199, Loss  0.884409, Average Loss  0.869997, Time  0.241082
2021-09-16 08:31:58.751882 : Epoch  6, Batch   1346, Loss  0.854830, Average Loss  0.868930, Time  0.265461
2021-09-16 08:32:01.317416 : Epoch  4, Batch   1200, Loss  0.874721, Average Loss  0.869928, Time  0.240005
2021-09-16 08:32:01.719747 : Epoch  6, Batch   1347, Loss  0.876168, Average Loss  0.868994, Time  0.266003
2021-09-16 08:32:03.930955 : Epoch  4, Batch   1201, Loss  0.877492, Average Loss  0.870013, Time  0.240993
2021-09-16 08:32:04.696863 : Epoch  6, Batch   1348, Loss  0.860352, Average Loss  0.869016, Time  0.266360
2021-09-16 08:32:06.523697 : Epoch  4, Batch   1202, Loss  0.878530, Average Loss  0.870121, Time  0.240114
2021-09-16 08:32:07.706108 : Epoch  6, Batch   1349, Loss  0.878986, Average Loss  0.868950, Time  0.267139
2021-09-16 08:32:09.139623 : Epoch  4, Batch   1203, Loss  0.878958, Average Loss  0.870162, Time  0.240920
2021-09-16 08:32:10.687002 : Epoch  6, Batch   1350, Loss  0.855247, Average Loss  0.868835, Time  0.264729
2021-09-16 08:32:11.741423 : Epoch  4, Batch   1204, Loss  0.870234, Average Loss  0.870290, Time  0.240186
2021-09-16 08:32:13.675840 : Epoch  6, Batch   1351, Loss  0.894947, Average Loss  0.868973, Time  0.265457
2021-09-16 08:32:14.331045 : Epoch  4, Batch   1205, Loss  0.872774, Average Loss  0.870251, Time  0.240286
2021-09-16 08:32:16.665385 : Epoch  6, Batch   1352, Loss  0.871658, Average Loss  0.868907, Time  0.266880
2021-09-16 08:32:16.922142 : Epoch  4, Batch   1206, Loss  0.876772, Average Loss  0.870282, Time  0.240108
2021-09-16 08:32:19.508028 : Epoch  4, Batch   1207, Loss  0.880441, Average Loss  0.870162, Time  0.240017
2021-09-16 08:32:19.651505 : Epoch  6, Batch   1353, Loss  0.852284, Average Loss  0.868909, Time  0.265437
2021-09-16 08:32:22.101578 : Epoch  4, Batch   1208, Loss  0.864376, Average Loss  0.870141, Time  0.240533
2021-09-16 08:32:22.642468 : Epoch  6, Batch   1354, Loss  0.893572, Average Loss  0.869024, Time  0.266196
2021-09-16 08:32:24.697010 : Epoch  4, Batch   1209, Loss  0.869687, Average Loss  0.870184, Time  0.240262
2021-09-16 08:32:25.628724 : Epoch  6, Batch   1355, Loss  0.858259, Average Loss  0.868965, Time  0.265135
2021-09-16 08:32:27.294560 : Epoch  4, Batch   1210, Loss  0.891183, Average Loss  0.870397, Time  0.239953
2021-09-16 08:32:28.612124 : Epoch  6, Batch   1356, Loss  0.885532, Average Loss  0.868993, Time  0.265840
2021-09-16 08:32:29.892486 : Epoch  4, Batch   1211, Loss  0.869004, Average Loss  0.870355, Time  0.240925
2021-09-16 08:32:31.608780 : Epoch  6, Batch   1357, Loss  0.844712, Average Loss  0.868844, Time  0.277101
2021-09-16 08:32:32.496957 : Epoch  4, Batch   1212, Loss  0.863264, Average Loss  0.870378, Time  0.240908
2021-09-16 08:32:34.628761 : Epoch  6, Batch   1358, Loss  0.848500, Average Loss  0.868822, Time  0.265902
2021-09-16 08:32:35.091983 : Epoch  4, Batch   1213, Loss  0.877182, Average Loss  0.870254, Time  0.240088
2021-09-16 08:32:37.609082 : Epoch  6, Batch   1359, Loss  0.860962, Average Loss  0.868811, Time  0.265681
2021-09-16 08:32:37.664927 : Epoch  4, Batch   1214, Loss  0.868404, Average Loss  0.870233, Time  0.241057
2021-09-16 08:32:40.243376 : Epoch  4, Batch   1215, Loss  0.879015, Average Loss  0.870332, Time  0.239895
2021-09-16 08:32:40.618846 : Epoch  6, Batch   1360, Loss  0.855439, Average Loss  0.868637, Time  0.266541
2021-09-16 08:32:42.827638 : Epoch  4, Batch   1216, Loss  0.876610, Average Loss  0.870385, Time  0.240825
2021-09-16 08:32:43.612531 : Epoch  6, Batch   1361, Loss  0.856945, Average Loss  0.868630, Time  0.265583
2021-09-16 08:32:45.423568 : Epoch  4, Batch   1217, Loss  0.888330, Average Loss  0.870537, Time  0.240174
2021-09-16 08:32:46.573932 : Epoch  6, Batch   1362, Loss  0.883240, Average Loss  0.868708, Time  0.266512
2021-09-16 08:32:48.004735 : Epoch  4, Batch   1218, Loss  0.842438, Average Loss  0.870393, Time  0.241587
2021-09-16 08:32:49.543165 : Epoch  6, Batch   1363, Loss  0.876276, Average Loss  0.868766, Time  0.265608
2021-09-16 08:32:50.598399 : Epoch  4, Batch   1219, Loss  0.885625, Average Loss  0.870468, Time  0.240117
2021-09-16 08:32:52.526052 : Epoch  6, Batch   1364, Loss  0.884833, Average Loss  0.868790, Time  0.265078
2021-09-16 08:32:53.192129 : Epoch  4, Batch   1220, Loss  0.886307, Average Loss  0.870570, Time  0.239799
2021-09-16 08:32:55.525083 : Epoch  6, Batch   1365, Loss  0.889003, Average Loss  0.868941, Time  0.266470
2021-09-16 08:32:55.776002 : Epoch  4, Batch   1221, Loss  0.858955, Average Loss  0.870574, Time  0.240143
2021-09-16 08:32:58.351995 : Epoch  4, Batch   1222, Loss  0.871447, Average Loss  0.870520, Time  0.240191
2021-09-16 08:32:58.502294 : Epoch  6, Batch   1366, Loss  0.860305, Average Loss  0.868905, Time  0.264420
2021-09-16 08:33:00.939840 : Epoch  4, Batch   1223, Loss  0.873884, Average Loss  0.870712, Time  0.239921
2021-09-16 08:33:01.469611 : Epoch  6, Batch   1367, Loss  0.873923, Average Loss  0.868830, Time  0.264998
2021-09-16 08:33:03.532053 : Epoch  4, Batch   1224, Loss  0.849976, Average Loss  0.870579, Time  0.239935
2021-09-16 08:33:04.464935 : Epoch  6, Batch   1368, Loss  0.868351, Average Loss  0.868828, Time  0.265829
2021-09-16 08:33:06.112407 : Epoch  4, Batch   1225, Loss  0.867764, Average Loss  0.870502, Time  0.241457
2021-09-16 08:33:07.455233 : Epoch  6, Batch   1369, Loss  0.869825, Average Loss  0.868893, Time  0.265421
2021-09-16 08:33:08.696035 : Epoch  4, Batch   1226, Loss  0.884788, Average Loss  0.870644, Time  0.240066
2021-09-16 08:33:10.447249 : Epoch  6, Batch   1370, Loss  0.859305, Average Loss  0.868744, Time  0.267582
2021-09-16 08:33:11.287128 : Epoch  4, Batch   1227, Loss  0.873346, Average Loss  0.870645, Time  0.240883
2021-09-16 08:33:13.446471 : Epoch  6, Batch   1371, Loss  0.863638, Average Loss  0.868754, Time  0.265725
2021-09-16 08:33:13.866961 : Epoch  4, Batch   1228, Loss  0.867096, Average Loss  0.870682, Time  0.240788
2021-09-16 08:33:16.444234 : Epoch  4, Batch   1229, Loss  0.874294, Average Loss  0.870772, Time  0.241983
2021-09-16 08:33:16.473700 : Epoch  6, Batch   1372, Loss  0.865475, Average Loss  0.868686, Time  0.280320
2021-09-16 08:33:19.031389 : Epoch  4, Batch   1230, Loss  0.861110, Average Loss  0.870724, Time  0.240742
2021-09-16 08:33:19.446211 : Epoch  6, Batch   1373, Loss  0.871408, Average Loss  0.868705, Time  0.266052
2021-09-16 08:33:21.620181 : Epoch  4, Batch   1231, Loss  0.851473, Average Loss  0.870614, Time  0.241319
2021-09-16 08:33:22.408495 : Epoch  6, Batch   1374, Loss  0.883791, Average Loss  0.868748, Time  0.265621
2021-09-16 08:33:24.205171 : Epoch  4, Batch   1232, Loss  0.893243, Average Loss  0.870838, Time  0.239757
2021-09-16 08:33:25.408653 : Epoch  6, Batch   1375, Loss  0.884946, Average Loss  0.868780, Time  0.266424
2021-09-16 08:33:28.422530 : Epoch  6, Batch   1376, Loss  0.862869, Average Loss  0.868716, Time  0.267242
2021-09-16 08:33:31.440137 : Epoch  6, Batch   1377, Loss  0.884596, Average Loss  0.868790, Time  0.265811
2021-09-16 08:33:34.458336 : Epoch  6, Batch   1378, Loss  0.859730, Average Loss  0.868757, Time  0.266069
2021-09-16 08:33:37.475953 : Epoch  6, Batch   1379, Loss  0.864358, Average Loss  0.868674, Time  0.265879
2021-09-16 08:33:40.493692 : Epoch  6, Batch   1380, Loss  0.868588, Average Loss  0.868639, Time  0.266017
2021-09-16 08:33:43.509591 : Epoch  6, Batch   1381, Loss  0.876578, Average Loss  0.868721, Time  0.266079
2021-09-16 08:33:46.478098 : Epoch  6, Batch   1382, Loss  0.870168, Average Loss  0.868661, Time  0.265332
2021-09-16 08:33:49.457349 : Epoch  6, Batch   1383, Loss  0.867568, Average Loss  0.868639, Time  0.265509
2021-09-16 08:33:52.436770 : Epoch  6, Batch   1384, Loss  0.884487, Average Loss  0.868809, Time  0.265095
2021-09-16 08:33:55.412579 : Epoch  6, Batch   1385, Loss  0.886196, Average Loss  0.868906, Time  0.265986
2021-09-16 08:33:58.429437 : Epoch  6, Batch   1386, Loss  0.851914, Average Loss  0.868889, Time  0.265837
2021-09-16 08:34:01.462189 : Epoch  6, Batch   1387, Loss  0.851145, Average Loss  0.868798, Time  0.278757
2021-09-16 08:34:04.442970 : Epoch  6, Batch   1388, Loss  0.868801, Average Loss  0.868789, Time  0.265867
2021-09-16 08:34:07.420729 : Epoch  6, Batch   1389, Loss  0.860084, Average Loss  0.868686, Time  0.265600
2021-09-16 08:34:10.399962 : Epoch  6, Batch   1390, Loss  0.875110, Average Loss  0.868791, Time  0.268443
2021-09-16 08:34:13.393613 : Epoch  6, Batch   1391, Loss  0.864706, Average Loss  0.868752, Time  0.266281
2021-09-16 08:34:16.395553 : Epoch  6, Batch   1392, Loss  0.871735, Average Loss  0.868718, Time  0.266120
2021-09-16 08:34:19.365443 : Epoch  6, Batch   1393, Loss  0.890043, Average Loss  0.868723, Time  0.265247
2021-09-16 08:34:22.342146 : Epoch  6, Batch   1394, Loss  0.864601, Average Loss  0.868667, Time  0.268061
2021-09-16 08:34:25.333800 : Epoch  6, Batch   1395, Loss  0.865157, Average Loss  0.868667, Time  0.266194
2021-09-16 08:34:28.317328 : Epoch  6, Batch   1396, Loss  0.876156, Average Loss  0.868718, Time  0.266071
2021-09-16 08:34:31.302637 : Epoch  6, Batch   1397, Loss  0.864741, Average Loss  0.868671, Time  0.265352
2021-09-16 08:34:34.283376 : Epoch  6, Batch   1398, Loss  0.857963, Average Loss  0.868643, Time  0.265372
2021-09-16 08:34:37.262760 : Epoch  6, Batch   1399, Loss  0.869063, Average Loss  0.868643, Time  0.265571
2021-09-16 08:34:40.244303 : Epoch  6, Batch   1400, Loss  0.874539, Average Loss  0.868654, Time  0.265323
2021-09-16 08:34:43.219655 : Epoch  6, Batch   1401, Loss  0.868558, Average Loss  0.868745, Time  0.265697
2021-09-16 08:34:46.212948 : Epoch  6, Batch   1402, Loss  0.881725, Average Loss  0.868783, Time  0.265323
2021-09-16 08:34:49.196894 : Epoch  6, Batch   1403, Loss  0.870128, Average Loss  0.868756, Time  0.272024
2021-09-16 08:34:52.207623 : Epoch  6, Batch   1404, Loss  0.863285, Average Loss  0.868788, Time  0.265682
2021-09-16 08:34:55.190877 : Epoch  6, Batch   1405, Loss  0.875619, Average Loss  0.868844, Time  0.265603
2021-09-16 08:34:58.166176 : Epoch  6, Batch   1406, Loss  0.869887, Average Loss  0.868849, Time  0.265402
2021-09-16 08:35:01.144557 : Epoch  6, Batch   1407, Loss  0.855248, Average Loss  0.868773, Time  0.265002
2021-09-16 08:35:04.114729 : Epoch  6, Batch   1408, Loss  0.848407, Average Loss  0.868677, Time  0.266077
2021-09-16 08:35:07.099520 : Epoch  6, Batch   1409, Loss  0.872534, Average Loss  0.868740, Time  0.265452
2021-09-16 08:35:10.107528 : Epoch  6, Batch   1410, Loss  0.859021, Average Loss  0.868753, Time  0.268689
2021-09-16 08:35:13.126062 : Epoch  6, Batch   1411, Loss  0.891478, Average Loss  0.868815, Time  0.266098
2021-09-16 08:35:16.138707 : Epoch  6, Batch   1412, Loss  0.883138, Average Loss  0.868939, Time  0.266701
2021-09-16 08:35:19.144774 : Epoch  6, Batch   1413, Loss  0.863497, Average Loss  0.869043, Time  0.265658
2021-09-16 08:35:22.127966 : Epoch  6, Batch   1414, Loss  0.860996, Average Loss  0.869037, Time  0.265571
2021-09-16 08:35:25.103883 : Epoch  6, Batch   1415, Loss  0.858939, Average Loss  0.868982, Time  0.267079
2021-09-16 08:35:28.096257 : Epoch  6, Batch   1416, Loss  0.860675, Average Loss  0.868972, Time  0.264855
2021-09-16 08:35:31.094571 : Epoch  6, Batch   1417, Loss  0.862682, Average Loss  0.868913, Time  0.266087
2021-09-16 08:35:34.095496 : Epoch  6, Batch   1418, Loss  0.878522, Average Loss  0.868863, Time  0.276059
2021-09-16 08:35:37.062768 : Epoch  6, Batch   1419, Loss  0.882496, Average Loss  0.868926, Time  0.265544
2021-09-16 08:35:40.041642 : Epoch  6, Batch   1420, Loss  0.853307, Average Loss  0.868869, Time  0.265146
2021-09-16 08:37:27.494709 : CheckPoint: Validation Loss  0.00030148, Best Loss  0.00029226
2021-09-16 08:37:30.118967 : Epoch  4, Batch   1233, Loss  0.871708, Average Loss  0.870794, Time  0.280754
2021-09-16 08:37:32.723087 : Epoch  4, Batch   1234, Loss  0.871085, Average Loss  0.870803, Time  0.256260
2021-09-16 08:37:35.307222 : Epoch  4, Batch   1235, Loss  0.884834, Average Loss  0.870860, Time  0.241110
2021-09-16 08:37:37.885418 : Epoch  4, Batch   1236, Loss  0.872054, Average Loss  0.871013, Time  0.240816
2021-09-16 08:37:40.469866 : Epoch  4, Batch   1237, Loss  0.875386, Average Loss  0.871111, Time  0.240685
2021-09-16 08:37:43.049497 : Epoch  4, Batch   1238, Loss  0.869699, Average Loss  0.871035, Time  0.239772
2021-09-16 08:37:45.628245 : Epoch  4, Batch   1239, Loss  0.868020, Average Loss  0.871015, Time  0.241218
2021-09-16 08:37:48.216104 : Epoch  4, Batch   1240, Loss  0.877318, Average Loss  0.871015, Time  0.240053
2021-09-16 08:37:50.800743 : Epoch  4, Batch   1241, Loss  0.859056, Average Loss  0.871001, Time  0.239863
2021-09-16 08:37:53.401364 : Epoch  4, Batch   1242, Loss  0.871684, Average Loss  0.871000, Time  0.240408
2021-09-16 08:37:55.974738 : Epoch  4, Batch   1243, Loss  0.869171, Average Loss  0.870944, Time  0.241097
2021-09-16 08:37:58.544135 : Epoch  4, Batch   1244, Loss  0.876751, Average Loss  0.871124, Time  0.240588
2021-09-16 08:38:01.119623 : Epoch  4, Batch   1245, Loss  0.854831, Average Loss  0.871110, Time  0.241225
2021-09-16 08:38:03.700881 : Epoch  4, Batch   1246, Loss  0.876048, Average Loss  0.871175, Time  0.240846
2021-09-16 08:38:06.279625 : Epoch  4, Batch   1247, Loss  0.870005, Average Loss  0.871089, Time  0.240915
2021-09-16 08:38:08.861991 : Epoch  4, Batch   1248, Loss  0.882788, Average Loss  0.871021, Time  0.241090
2021-09-16 08:38:11.446763 : Epoch  4, Batch   1249, Loss  0.875159, Average Loss  0.871027, Time  0.243180
2021-09-16 08:38:14.030767 : Epoch  4, Batch   1250, Loss  0.862960, Average Loss  0.871034, Time  0.244823
2021-09-16 08:38:16.625075 : Epoch  4, Batch   1251, Loss  0.861813, Average Loss  0.871096, Time  0.247608
2021-09-16 08:38:19.208069 : Epoch  4, Batch   1252, Loss  0.871388, Average Loss  0.871155, Time  0.241115
2021-09-16 08:38:21.798527 : Epoch  4, Batch   1253, Loss  0.869654, Average Loss  0.871201, Time  0.240143
2021-09-16 08:38:24.387019 : Epoch  4, Batch   1254, Loss  0.883739, Average Loss  0.871286, Time  0.243494
2021-09-16 08:38:26.972469 : Epoch  4, Batch   1255, Loss  0.865349, Average Loss  0.871250, Time  0.240277
2021-09-16 08:38:29.581678 : Epoch  4, Batch   1256, Loss  0.878974, Average Loss  0.871273, Time  0.240842
2021-09-16 08:38:32.162395 : Epoch  4, Batch   1257, Loss  0.858995, Average Loss  0.871265, Time  0.239975
2021-09-16 08:38:34.746859 : Epoch  4, Batch   1258, Loss  0.844931, Average Loss  0.871154, Time  0.240418
2021-09-16 08:38:37.341077 : Epoch  4, Batch   1259, Loss  0.886426, Average Loss  0.871245, Time  0.241478
2021-09-16 08:38:39.918828 : Epoch  4, Batch   1260, Loss  0.842404, Average Loss  0.871096, Time  0.240360
2021-09-16 08:38:42.608715 : Epoch  4, Batch   1261, Loss  0.883649, Average Loss  0.871112, Time  0.259929
2021-09-16 08:38:45.246143 : Epoch  4, Batch   1262, Loss  0.846087, Average Loss  0.870887, Time  0.243835
2021-09-16 08:38:47.844070 : Epoch  4, Batch   1263, Loss  0.876830, Average Loss  0.870993, Time  0.240628
2021-09-16 08:38:50.451681 : Epoch  4, Batch   1264, Loss  0.876835, Average Loss  0.871025, Time  0.244137
2021-09-16 08:38:53.048870 : Epoch  4, Batch   1265, Loss  0.856384, Average Loss  0.871052, Time  0.240477
2021-09-16 08:38:55.653642 : Epoch  4, Batch   1266, Loss  0.847083, Average Loss  0.870857, Time  0.246245
2021-09-16 08:38:58.249061 : Epoch  4, Batch   1267, Loss  0.904918, Average Loss  0.871096, Time  0.241167
2021-09-16 08:39:00.838064 : Epoch  4, Batch   1268, Loss  0.858243, Average Loss  0.871031, Time  0.242237
2021-09-16 08:39:03.437078 : Epoch  4, Batch   1269, Loss  0.882527, Average Loss  0.871073, Time  0.242608
2021-09-16 08:39:06.025296 : Epoch  4, Batch   1270, Loss  0.870498, Average Loss  0.871044, Time  0.240068
2021-09-16 08:39:08.618562 : Epoch  4, Batch   1271, Loss  0.859641, Average Loss  0.870996, Time  0.241092
2021-09-16 08:39:11.224621 : Epoch  4, Batch   1272, Loss  0.878740, Average Loss  0.871043, Time  0.245313
2021-09-16 08:39:13.826003 : Epoch  4, Batch   1273, Loss  0.894215, Average Loss  0.871056, Time  0.240827
2021-09-16 08:39:16.423256 : Epoch  4, Batch   1274, Loss  0.877295, Average Loss  0.870997, Time  0.244662
2021-09-16 08:39:19.013999 : Epoch  4, Batch   1275, Loss  0.858563, Average Loss  0.870844, Time  0.240124
2021-09-16 08:39:21.606535 : Epoch  4, Batch   1276, Loss  0.871748, Average Loss  0.870783, Time  0.242754
2021-09-16 08:39:24.203995 : Epoch  4, Batch   1277, Loss  0.870153, Average Loss  0.870777, Time  0.241782
2021-09-16 08:39:26.801906 : Epoch  4, Batch   1278, Loss  0.860645, Average Loss  0.870783, Time  0.240389
2021-09-16 08:39:29.390986 : Epoch  4, Batch   1279, Loss  0.864900, Average Loss  0.870863, Time  0.239980
2021-09-16 08:39:31.990996 : Epoch  4, Batch   1280, Loss  0.858895, Average Loss  0.870875, Time  0.244493
2021-09-16 08:39:34.587208 : Epoch  4, Batch   1281, Loss  0.873989, Average Loss  0.870898, Time  0.242767
2021-09-16 08:39:37.174938 : Epoch  4, Batch   1282, Loss  0.863511, Average Loss  0.870792, Time  0.241188
2021-09-16 08:39:39.768891 : Epoch  4, Batch   1283, Loss  0.861203, Average Loss  0.870674, Time  0.240912
2021-09-16 08:39:42.355830 : Epoch  4, Batch   1284, Loss  0.859294, Average Loss  0.870597, Time  0.240070
2021-09-16 08:39:44.950954 : Epoch  4, Batch   1285, Loss  0.882070, Average Loss  0.870607, Time  0.240125
2021-09-16 08:39:47.538103 : Epoch  4, Batch   1286, Loss  0.874040, Average Loss  0.870573, Time  0.241835
2021-09-16 08:39:50.127610 : Epoch  4, Batch   1287, Loss  0.871468, Average Loss  0.870633, Time  0.241596
2021-09-16 08:39:52.728696 : Epoch  4, Batch   1288, Loss  0.853335, Average Loss  0.870530, Time  0.240972
2021-09-16 08:39:55.313849 : Epoch  4, Batch   1289, Loss  0.872409, Average Loss  0.870495, Time  0.240084
2021-09-16 08:39:57.905017 : Epoch  4, Batch   1290, Loss  0.876224, Average Loss  0.870441, Time  0.241055
2021-09-16 08:40:00.488056 : Epoch  4, Batch   1291, Loss  0.860641, Average Loss  0.870304, Time  0.240891
2021-09-16 08:40:03.078914 : Epoch  4, Batch   1292, Loss  0.846810, Average Loss  0.870184, Time  0.240285
2021-09-16 08:40:05.671382 : Epoch  4, Batch   1293, Loss  0.853918, Average Loss  0.870099, Time  0.240826
2021-09-16 08:40:08.266037 : Epoch  4, Batch   1294, Loss  0.869587, Average Loss  0.870053, Time  0.241208
2021-09-16 08:40:10.859876 : Epoch  4, Batch   1295, Loss  0.885176, Average Loss  0.870046, Time  0.240403
2021-09-16 08:40:13.452056 : Epoch  4, Batch   1296, Loss  0.865965, Average Loss  0.870042, Time  0.241546
2021-09-16 08:40:16.072004 : Epoch  4, Batch   1297, Loss  0.853798, Average Loss  0.869948, Time  0.241447
2021-09-16 08:40:18.663532 : Epoch  4, Batch   1298, Loss  0.873151, Average Loss  0.869889, Time  0.241528
2021-09-16 08:40:21.114066 : CheckPoint: Validation Loss  0.00030050, Best Loss  0.00029295
2021-09-16 08:40:21.250835 : Epoch  4, Batch   1299, Loss  0.868601, Average Loss  0.869805, Time  0.239855
2021-09-16 08:40:23.829648 : Epoch  4, Batch   1300, Loss  0.853682, Average Loss  0.869671, Time  0.239944
2021-09-16 08:40:24.153466 : Epoch  6, Batch   1421, Loss  0.883219, Average Loss  0.868899, Time  0.267902
2021-09-16 08:40:26.428469 : Epoch  4, Batch   1301, Loss  0.839039, Average Loss  0.869605, Time  0.241703
2021-09-16 08:40:27.149190 : Epoch  6, Batch   1422, Loss  0.865040, Average Loss  0.868857, Time  0.265946
2021-09-16 08:40:29.017279 : Epoch  4, Batch   1302, Loss  0.885540, Average Loss  0.869697, Time  0.242254
2021-09-16 08:40:30.132561 : Epoch  6, Batch   1423, Loss  0.871371, Average Loss  0.868927, Time  0.265328
2021-09-16 08:40:31.608081 : Epoch  4, Batch   1303, Loss  0.868862, Average Loss  0.869723, Time  0.241125
2021-09-16 08:40:33.147078 : Epoch  6, Batch   1424, Loss  0.863922, Average Loss  0.868871, Time  0.265905
2021-09-16 08:40:34.206904 : Epoch  4, Batch   1304, Loss  0.864094, Average Loss  0.869639, Time  0.240677
2021-09-16 08:40:36.134871 : Epoch  6, Batch   1425, Loss  0.863134, Average Loss  0.868746, Time  0.266102
2021-09-16 08:40:36.790939 : Epoch  4, Batch   1305, Loss  0.876934, Average Loss  0.869620, Time  0.241528
2021-09-16 08:40:39.138105 : Epoch  6, Batch   1426, Loss  0.876142, Average Loss  0.868712, Time  0.268634
2021-09-16 08:40:39.378982 : Epoch  4, Batch   1306, Loss  0.868672, Average Loss  0.869571, Time  0.240676
2021-09-16 08:40:41.962152 : Epoch  4, Batch   1307, Loss  0.881700, Average Loss  0.869576, Time  0.241183
2021-09-16 08:40:42.127403 : Epoch  6, Batch   1427, Loss  0.874831, Average Loss  0.868677, Time  0.266395
2021-09-16 08:40:44.556680 : Epoch  4, Batch   1308, Loss  0.859398, Average Loss  0.869571, Time  0.239669
2021-09-16 08:40:45.093310 : Epoch  6, Batch   1428, Loss  0.849022, Average Loss  0.868662, Time  0.267681
2021-09-16 08:40:47.146078 : Epoch  4, Batch   1309, Loss  0.866726, Average Loss  0.869594, Time  0.240138
2021-09-16 08:40:48.082576 : Epoch  6, Batch   1429, Loss  0.884212, Average Loss  0.868726, Time  0.266273
2021-09-16 08:40:49.747013 : Epoch  4, Batch   1310, Loss  0.871455, Average Loss  0.869595, Time  0.242115
2021-09-16 08:40:51.120544 : Epoch  6, Batch   1430, Loss  0.854403, Average Loss  0.868636, Time  0.278977
2021-09-16 08:40:52.348289 : Epoch  4, Batch   1311, Loss  0.865930, Average Loss  0.869529, Time  0.241084
2021-09-16 08:40:54.135652 : Epoch  6, Batch   1431, Loss  0.851297, Average Loss  0.868562, Time  0.265996
2021-09-16 08:40:54.947087 : Epoch  4, Batch   1312, Loss  0.858424, Average Loss  0.869505, Time  0.242346
2021-09-16 08:40:57.139514 : Epoch  6, Batch   1432, Loss  0.895346, Average Loss  0.868743, Time  0.265581
2021-09-16 08:40:57.536141 : Epoch  4, Batch   1313, Loss  0.841620, Average Loss  0.869394, Time  0.240304
2021-09-16 08:41:00.119644 : Epoch  4, Batch   1314, Loss  0.877179, Average Loss  0.869504, Time  0.240103
2021-09-16 08:41:00.152167 : Epoch  6, Batch   1433, Loss  0.847948, Average Loss  0.868552, Time  0.266381
2021-09-16 08:41:02.710875 : Epoch  4, Batch   1315, Loss  0.850867, Average Loss  0.869348, Time  0.240149
2021-09-16 08:41:03.171993 : Epoch  6, Batch   1434, Loss  0.877653, Average Loss  0.868524, Time  0.266484
2021-09-16 08:41:05.302221 : Epoch  4, Batch   1316, Loss  0.862701, Average Loss  0.869249, Time  0.240366
2021-09-16 08:41:06.154978 : Epoch  6, Batch   1435, Loss  0.870791, Average Loss  0.868433, Time  0.267199
2021-09-16 08:41:07.886897 : Epoch  4, Batch   1317, Loss  0.872327, Average Loss  0.869260, Time  0.239801
2021-09-16 08:41:09.140767 : Epoch  6, Batch   1436, Loss  0.846132, Average Loss  0.868240, Time  0.266439
2021-09-16 08:41:10.492849 : Epoch  4, Batch   1318, Loss  0.861717, Average Loss  0.869261, Time  0.241002
2021-09-16 08:41:12.126662 : Epoch  6, Batch   1437, Loss  0.869762, Average Loss  0.868227, Time  0.265060
2021-09-16 08:41:13.077215 : Epoch  4, Batch   1319, Loss  0.866275, Average Loss  0.869283, Time  0.240183
2021-09-16 08:41:15.112678 : Epoch  6, Batch   1438, Loss  0.871410, Average Loss  0.868235, Time  0.265017
2021-09-16 08:41:15.665070 : Epoch  4, Batch   1320, Loss  0.880613, Average Loss  0.869420, Time  0.240563
2021-09-16 08:41:18.141742 : Epoch  6, Batch   1439, Loss  0.862311, Average Loss  0.868162, Time  0.265994
2021-09-16 08:41:18.255559 : Epoch  4, Batch   1321, Loss  0.858190, Average Loss  0.869340, Time  0.240512
2021-09-16 08:41:20.842951 : Epoch  4, Batch   1322, Loss  0.870689, Average Loss  0.869301, Time  0.241966
2021-09-16 08:41:21.151459 : Epoch  6, Batch   1440, Loss  0.872772, Average Loss  0.868339, Time  0.265342
2021-09-16 08:41:23.434872 : Epoch  4, Batch   1323, Loss  0.865720, Average Loss  0.869342, Time  0.240998
2021-09-16 08:41:24.118923 : Epoch  6, Batch   1441, Loss  0.862232, Average Loss  0.868249, Time  0.265111
2021-09-16 08:41:26.031142 : Epoch  4, Batch   1324, Loss  0.864138, Average Loss  0.869313, Time  0.241312
2021-09-16 08:41:27.109606 : Epoch  6, Batch   1442, Loss  0.860907, Average Loss  0.868098, Time  0.265120
2021-09-16 08:41:28.620012 : Epoch  4, Batch   1325, Loss  0.880395, Average Loss  0.869367, Time  0.241490
2021-09-16 08:41:30.094017 : Epoch  6, Batch   1443, Loss  0.857739, Average Loss  0.867920, Time  0.265177
2021-09-16 08:41:31.208847 : Epoch  4, Batch   1326, Loss  0.866508, Average Loss  0.869297, Time  0.240929
2021-09-16 08:41:33.070496 : Epoch  6, Batch   1444, Loss  0.882102, Average Loss  0.867939, Time  0.265591
2021-09-16 08:41:33.802023 : Epoch  4, Batch   1327, Loss  0.855215, Average Loss  0.869367, Time  0.240206
2021-09-16 08:41:36.093778 : Epoch  6, Batch   1445, Loss  0.879371, Average Loss  0.867999, Time  0.275719
2021-09-16 08:41:36.390390 : Epoch  4, Batch   1328, Loss  0.881566, Average Loss  0.869435, Time  0.240244
2021-09-16 08:41:38.966277 : Epoch  4, Batch   1329, Loss  0.860378, Average Loss  0.869399, Time  0.240134
2021-09-16 08:41:39.093299 : Epoch  6, Batch   1446, Loss  0.880889, Average Loss  0.867916, Time  0.266093
2021-09-16 08:41:41.556226 : Epoch  4, Batch   1330, Loss  0.871826, Average Loss  0.869347, Time  0.239889
2021-09-16 08:41:42.081989 : Epoch  6, Batch   1447, Loss  0.868476, Average Loss  0.867998, Time  0.265114
2021-09-16 08:41:44.144897 : Epoch  4, Batch   1331, Loss  0.866647, Average Loss  0.869370, Time  0.240163
2021-09-16 08:41:45.065945 : Epoch  6, Batch   1448, Loss  0.859311, Average Loss  0.867981, Time  0.265309
2021-09-16 08:41:46.743201 : Epoch  4, Batch   1332, Loss  0.857647, Average Loss  0.869305, Time  0.240177
2021-09-16 08:41:48.048089 : Epoch  6, Batch   1449, Loss  0.865258, Average Loss  0.868042, Time  0.267848
2021-09-16 08:41:51.040841 : Epoch  6, Batch   1450, Loss  0.862583, Average Loss  0.868176, Time  0.265692
2021-09-16 08:41:54.027531 : Epoch  6, Batch   1451, Loss  0.887322, Average Loss  0.868215, Time  0.265682
2021-09-16 08:41:57.010563 : Epoch  6, Batch   1452, Loss  0.895421, Average Loss  0.868290, Time  0.265572
2021-09-16 08:41:59.990023 : Epoch  6, Batch   1453, Loss  0.875810, Average Loss  0.868290, Time  0.267271
2021-09-16 08:42:02.983937 : Epoch  6, Batch   1454, Loss  0.865646, Average Loss  0.868394, Time  0.266563
2021-09-16 08:42:05.981493 : Epoch  6, Batch   1455, Loss  0.855664, Average Loss  0.868315, Time  0.265216
2021-09-16 08:42:08.958004 : Epoch  6, Batch   1456, Loss  0.867198, Average Loss  0.868235, Time  0.265319
2021-09-16 08:42:11.929258 : Epoch  6, Batch   1457, Loss  0.877863, Average Loss  0.868406, Time  0.265844
2021-09-16 08:42:14.903169 : Epoch  6, Batch   1458, Loss  0.874388, Average Loss  0.868453, Time  0.265565
2021-09-16 08:42:17.901453 : Epoch  6, Batch   1459, Loss  0.855187, Average Loss  0.868372, Time  0.265336
2021-09-16 08:42:20.902383 : Epoch  6, Batch   1460, Loss  0.863547, Average Loss  0.868359, Time  0.274594
2021-09-16 08:42:23.878337 : Epoch  6, Batch   1461, Loss  0.875563, Average Loss  0.868396, Time  0.266008
2021-09-16 08:42:26.892684 : Epoch  6, Batch   1462, Loss  0.840408, Average Loss  0.868231, Time  0.264969
2021-09-16 08:42:29.897123 : Epoch  6, Batch   1463, Loss  0.849098, Average Loss  0.868223, Time  0.266649
2021-09-16 08:42:32.888594 : Epoch  6, Batch   1464, Loss  0.874667, Average Loss  0.868352, Time  0.265234
2021-09-16 08:42:35.875067 : Epoch  6, Batch   1465, Loss  0.868901, Average Loss  0.868406, Time  0.266042
2021-09-16 08:42:38.857179 : Epoch  6, Batch   1466, Loss  0.843750, Average Loss  0.868296, Time  0.265682
2021-09-16 08:42:41.850376 : Epoch  6, Batch   1467, Loss  0.855445, Average Loss  0.868246, Time  0.266291
2021-09-16 08:42:44.873541 : Epoch  6, Batch   1468, Loss  0.866009, Average Loss  0.868262, Time  0.267149
2021-09-16 08:42:47.876082 : Epoch  6, Batch   1469, Loss  0.875279, Average Loss  0.868287, Time  0.265742
2021-09-16 08:42:50.861463 : Epoch  6, Batch   1470, Loss  0.877374, Average Loss  0.868375, Time  0.266233
2021-09-16 08:42:53.841532 : Epoch  6, Batch   1471, Loss  0.868252, Average Loss  0.868425, Time  0.267136
2021-09-16 08:42:56.846093 : Epoch  6, Batch   1472, Loss  0.884722, Average Loss  0.868528, Time  0.266874
2021-09-16 08:42:59.835539 : Epoch  6, Batch   1473, Loss  0.885808, Average Loss  0.868654, Time  0.265343
2021-09-16 08:43:02.817245 : Epoch  6, Batch   1474, Loss  0.863205, Average Loss  0.868718, Time  0.266635
2021-09-16 08:43:05.814877 : Epoch  6, Batch   1475, Loss  0.854166, Average Loss  0.868596, Time  0.277297
2021-09-16 08:43:08.787963 : Epoch  6, Batch   1476, Loss  0.855614, Average Loss  0.868531, Time  0.265793
2021-09-16 08:43:11.782769 : Epoch  6, Batch   1477, Loss  0.880309, Average Loss  0.868686, Time  0.266555
2021-09-16 08:43:14.766843 : Epoch  6, Batch   1478, Loss  0.878390, Average Loss  0.868727, Time  0.266077
2021-09-16 08:43:17.795016 : Epoch  6, Batch   1479, Loss  0.890933, Average Loss  0.868923, Time  0.265402
2021-09-16 08:43:20.796262 : Epoch  6, Batch   1480, Loss  0.902411, Average Loss  0.868984, Time  0.266700
2021-09-16 08:43:23.798983 : Epoch  6, Batch   1481, Loss  0.884892, Average Loss  0.869034, Time  0.265446
2021-09-16 08:43:26.775578 : Epoch  6, Batch   1482, Loss  0.867578, Average Loss  0.868921, Time  0.265292
2021-09-16 08:43:29.797692 : Epoch  6, Batch   1483, Loss  0.851157, Average Loss  0.868826, Time  0.265367
2021-09-16 08:43:32.785011 : Epoch  6, Batch   1484, Loss  0.856448, Average Loss  0.868807, Time  0.264913
2021-09-16 08:43:35.769362 : Epoch  6, Batch   1485, Loss  0.873538, Average Loss  0.868768, Time  0.267514
2021-09-16 08:43:38.806185 : Epoch  6, Batch   1486, Loss  0.858439, Average Loss  0.868761, Time  0.266878
2021-09-16 08:43:41.809202 : Epoch  6, Batch   1487, Loss  0.864880, Average Loss  0.868693, Time  0.264766
2021-09-16 08:43:44.806603 : Epoch  6, Batch   1488, Loss  0.861985, Average Loss  0.868663, Time  0.265949
2021-09-16 08:43:47.783536 : Epoch  6, Batch   1489, Loss  0.870111, Average Loss  0.868647, Time  0.266803
2021-09-16 08:43:50.816487 : Epoch  6, Batch   1490, Loss  0.855700, Average Loss  0.868568, Time  0.276636
2021-09-16 08:43:53.798012 : Epoch  6, Batch   1491, Loss  0.867527, Average Loss  0.868546, Time  0.268164
2021-09-16 08:43:56.790447 : Epoch  6, Batch   1492, Loss  0.852316, Average Loss  0.868470, Time  0.265460
2021-09-16 08:43:59.813129 : Epoch  6, Batch   1493, Loss  0.854627, Average Loss  0.868472, Time  0.265996
2021-09-16 08:44:02.807856 : Epoch  6, Batch   1494, Loss  0.871584, Average Loss  0.868589, Time  0.267097
2021-09-16 08:44:05.816770 : Epoch  6, Batch   1495, Loss  0.872749, Average Loss  0.868651, Time  0.266077
2021-09-16 08:44:08.819987 : Epoch  6, Batch   1496, Loss  0.862104, Average Loss  0.868652, Time  0.266187
2021-09-16 08:44:11.801104 : Epoch  6, Batch   1497, Loss  0.877844, Average Loss  0.868672, Time  0.265629
2021-09-16 08:44:14.812739 : Epoch  6, Batch   1498, Loss  0.863094, Average Loss  0.868573, Time  0.265590
2021-09-16 08:44:17.826522 : Epoch  6, Batch   1499, Loss  0.894436, Average Loss  0.868655, Time  0.266185
2021-09-16 08:44:20.813962 : Epoch  6, Batch   1500, Loss  0.866998, Average Loss  0.868718, Time  0.265808
2021-09-16 08:44:23.833403 : Epoch  6, Batch   1501, Loss  0.862316, Average Loss  0.868672, Time  0.266067
2021-09-16 08:44:26.828923 : Epoch  6, Batch   1502, Loss  0.844440, Average Loss  0.868501, Time  0.266655
2021-09-16 08:44:29.831853 : Epoch  6, Batch   1503, Loss  0.846428, Average Loss  0.868331, Time  0.266129
2021-09-16 08:44:32.815707 : Epoch  6, Batch   1504, Loss  0.864674, Average Loss  0.868437, Time  0.266472
2021-09-16 08:44:35.808779 : Epoch  6, Batch   1505, Loss  0.862613, Average Loss  0.868399, Time  0.274644
2021-09-16 08:44:38.820126 : Epoch  6, Batch   1506, Loss  0.856817, Average Loss  0.868307, Time  0.266362
2021-09-16 08:44:41.847476 : Epoch  6, Batch   1507, Loss  0.884376, Average Loss  0.868344, Time  0.266302
2021-09-16 08:44:44.840398 : Epoch  6, Batch   1508, Loss  0.861129, Average Loss  0.868331, Time  0.265501
2021-09-16 08:44:47.814342 : Epoch  6, Batch   1509, Loss  0.859977, Average Loss  0.868292, Time  0.265597
2021-09-16 08:44:50.811411 : Epoch  6, Batch   1510, Loss  0.873902, Average Loss  0.868410, Time  0.267056
2021-09-16 08:44:53.828929 : Epoch  6, Batch   1511, Loss  0.880850, Average Loss  0.868503, Time  0.266675
2021-09-16 08:44:56.832011 : Epoch  6, Batch   1512, Loss  0.863195, Average Loss  0.868496, Time  0.266493
2021-09-16 08:44:59.808825 : Epoch  6, Batch   1513, Loss  0.886452, Average Loss  0.868489, Time  0.265546
2021-09-16 08:45:02.794695 : Epoch  6, Batch   1514, Loss  0.832397, Average Loss  0.868261, Time  0.265790
2021-09-16 08:45:05.821095 : Epoch  6, Batch   1515, Loss  0.863575, Average Loss  0.868251, Time  0.266793
2021-09-16 08:45:08.806299 : Epoch  6, Batch   1516, Loss  0.862602, Average Loss  0.868238, Time  0.265618
2021-09-16 08:45:11.783363 : Epoch  6, Batch   1517, Loss  0.871912, Average Loss  0.868250, Time  0.264990
2021-09-16 08:45:14.778865 : Epoch  6, Batch   1518, Loss  0.855572, Average Loss  0.868193, Time  0.265908
2021-09-16 08:45:17.765064 : Epoch  6, Batch   1519, Loss  0.876693, Average Loss  0.868219, Time  0.265642
2021-09-16 08:45:20.759551 : Epoch  6, Batch   1520, Loss  0.863812, Average Loss  0.868243, Time  0.272341
2021-09-16 08:45:48.952752 : CheckPoint: Validation Loss  0.00029975, Best Loss  0.00029226
2021-09-16 08:45:51.604189 : Epoch  4, Batch   1333, Loss  0.851811, Average Loss  0.869248, Time  0.272285
2021-09-16 08:45:54.198755 : Epoch  4, Batch   1334, Loss  0.864152, Average Loss  0.869288, Time  0.250393
2021-09-16 08:45:56.810876 : Epoch  4, Batch   1335, Loss  0.859149, Average Loss  0.869206, Time  0.239976
2021-09-16 08:45:59.416175 : Epoch  4, Batch   1336, Loss  0.875149, Average Loss  0.869245, Time  0.240445
2021-09-16 08:46:01.997329 : Epoch  4, Batch   1337, Loss  0.874768, Average Loss  0.869253, Time  0.240438
2021-09-16 08:46:04.580816 : Epoch  4, Batch   1338, Loss  0.848974, Average Loss  0.869185, Time  0.240176
2021-09-16 08:46:07.176866 : Epoch  4, Batch   1339, Loss  0.889642, Average Loss  0.869339, Time  0.240488
2021-09-16 08:46:09.767413 : Epoch  4, Batch   1340, Loss  0.858403, Average Loss  0.869305, Time  0.241004
2021-09-16 08:46:12.358954 : Epoch  4, Batch   1341, Loss  0.883847, Average Loss  0.869350, Time  0.239769
2021-09-16 08:46:14.962368 : Epoch  4, Batch   1342, Loss  0.869820, Average Loss  0.869269, Time  0.241848
2021-09-16 08:46:17.557910 : Epoch  4, Batch   1343, Loss  0.877548, Average Loss  0.869292, Time  0.240273
2021-09-16 08:46:20.153071 : Epoch  4, Batch   1344, Loss  0.871773, Average Loss  0.869365, Time  0.240325
2021-09-16 08:46:22.747156 : Epoch  4, Batch   1345, Loss  0.883671, Average Loss  0.869424, Time  0.241081
2021-09-16 08:46:25.326917 : Epoch  4, Batch   1346, Loss  0.871029, Average Loss  0.869545, Time  0.240982
2021-09-16 08:46:27.918502 : Epoch  4, Batch   1347, Loss  0.885604, Average Loss  0.869588, Time  0.241076
2021-09-16 08:46:30.503146 : Epoch  4, Batch   1348, Loss  0.861773, Average Loss  0.869509, Time  0.239907
2021-09-16 08:46:33.101933 : Epoch  4, Batch   1349, Loss  0.860821, Average Loss  0.869458, Time  0.243031
2021-09-16 08:46:35.696382 : Epoch  4, Batch   1350, Loss  0.867142, Average Loss  0.869442, Time  0.239984
2021-09-16 08:46:38.293801 : Epoch  4, Batch   1351, Loss  0.885983, Average Loss  0.869501, Time  0.240920
2021-09-16 08:46:40.889880 : Epoch  4, Batch   1352, Loss  0.878359, Average Loss  0.869526, Time  0.241336
2021-09-16 08:46:43.482892 : Epoch  4, Batch   1353, Loss  0.901689, Average Loss  0.869627, Time  0.241447
2021-09-16 08:46:46.071086 : Epoch  4, Batch   1354, Loss  0.881519, Average Loss  0.869671, Time  0.242842
2021-09-16 08:46:48.657981 : Epoch  4, Batch   1355, Loss  0.870078, Average Loss  0.869778, Time  0.240284
2021-09-16 08:46:51.251888 : Epoch  4, Batch   1356, Loss  0.864035, Average Loss  0.869782, Time  0.240788
2021-09-16 08:46:53.839038 : Epoch  4, Batch   1357, Loss  0.865426, Average Loss  0.869645, Time  0.240147
2021-09-16 08:46:56.429204 : Epoch  4, Batch   1358, Loss  0.851116, Average Loss  0.869553, Time  0.241106
2021-09-16 08:46:59.018087 : Epoch  4, Batch   1359, Loss  0.891216, Average Loss  0.869643, Time  0.240591
2021-09-16 08:47:01.604928 : Epoch  4, Batch   1360, Loss  0.876761, Average Loss  0.869636, Time  0.240811
2021-09-16 08:47:04.213274 : Epoch  4, Batch   1361, Loss  0.857149, Average Loss  0.869565, Time  0.240801
2021-09-16 08:47:06.804299 : Epoch  4, Batch   1362, Loss  0.877655, Average Loss  0.869676, Time  0.240391
2021-09-16 08:47:09.400525 : Epoch  4, Batch   1363, Loss  0.851727, Average Loss  0.869564, Time  0.240755
2021-09-16 08:47:12.002910 : Epoch  4, Batch   1364, Loss  0.862648, Average Loss  0.869533, Time  0.241386
2021-09-16 08:47:14.596145 : Epoch  4, Batch   1365, Loss  0.869742, Average Loss  0.869591, Time  0.247955
2021-09-16 08:47:17.205855 : Epoch  4, Batch   1366, Loss  0.886795, Average Loss  0.869676, Time  0.247196
2021-09-16 08:47:19.791557 : Epoch  4, Batch   1367, Loss  0.899393, Average Loss  0.869765, Time  0.241281
2021-09-16 08:47:22.396776 : Epoch  4, Batch   1368, Loss  0.854805, Average Loss  0.869797, Time  0.241076
2021-09-16 08:47:25.034841 : Epoch  4, Batch   1369, Loss  0.884173, Average Loss  0.869905, Time  0.241218
2021-09-16 08:47:27.629997 : Epoch  4, Batch   1370, Loss  0.867720, Average Loss  0.869940, Time  0.240141
2021-09-16 08:47:30.230948 : Epoch  4, Batch   1371, Loss  0.870003, Average Loss  0.869904, Time  0.241146
2021-09-16 08:47:32.828864 : Epoch  4, Batch   1372, Loss  0.865502, Average Loss  0.869825, Time  0.240123
2021-09-16 08:47:35.423099 : Epoch  4, Batch   1373, Loss  0.852627, Average Loss  0.869727, Time  0.240201
2021-09-16 08:47:38.021788 : Epoch  4, Batch   1374, Loss  0.885497, Average Loss  0.869762, Time  0.240286
2021-09-16 08:47:40.604796 : Epoch  4, Batch   1375, Loss  0.863454, Average Loss  0.869739, Time  0.241560
2021-09-16 08:47:43.197470 : Epoch  4, Batch   1376, Loss  0.877003, Average Loss  0.869744, Time  0.241228
2021-09-16 08:47:45.791893 : Epoch  4, Batch   1377, Loss  0.880505, Average Loss  0.869832, Time  0.241029
2021-09-16 08:47:48.386052 : Epoch  4, Batch   1378, Loss  0.886113, Average Loss  0.869852, Time  0.241406
2021-09-16 08:47:50.989862 : Epoch  4, Batch   1379, Loss  0.871944, Average Loss  0.869850, Time  0.240419
2021-09-16 08:47:53.585218 : Epoch  4, Batch   1380, Loss  0.875631, Average Loss  0.869878, Time  0.240401
2021-09-16 08:47:56.192144 : Epoch  4, Batch   1381, Loss  0.879311, Average Loss  0.869879, Time  0.239824
2021-09-16 08:47:57.442423 : Epoch  4, Batch   1382, Loss  0.855161, Average Loss  0.869839, Time  0.144506
2021-09-16 08:48:00.021034 : Epoch  4, Batch   1383, Loss  0.872028, Average Loss  0.869839, Time  0.239909
2021-09-16 08:48:02.605742 : Epoch  4, Batch   1384, Loss  0.838749, Average Loss  0.869690, Time  0.240119
2021-09-16 08:48:05.195001 : Epoch  4, Batch   1385, Loss  0.890208, Average Loss  0.869798, Time  0.240016
2021-09-16 08:48:07.799558 : Epoch  4, Batch   1386, Loss  0.855196, Average Loss  0.869736, Time  0.242626
2021-09-16 08:48:10.389174 : Epoch  4, Batch   1387, Loss  0.866493, Average Loss  0.869759, Time  0.240869
2021-09-16 08:48:12.986071 : Epoch  4, Batch   1388, Loss  0.883488, Average Loss  0.869757, Time  0.240168
2021-09-16 08:48:15.590919 : Epoch  4, Batch   1389, Loss  0.865534, Average Loss  0.869774, Time  0.241091
2021-09-16 08:48:18.172381 : Epoch  4, Batch   1390, Loss  0.857580, Average Loss  0.869754, Time  0.241176
2021-09-16 08:48:20.769014 : Epoch  4, Batch   1391, Loss  0.854559, Average Loss  0.869756, Time  0.240849
2021-09-16 08:48:23.367019 : Epoch  4, Batch   1392, Loss  0.860770, Average Loss  0.869765, Time  0.241650
2021-09-16 08:48:25.963585 : Epoch  4, Batch   1393, Loss  0.891049, Average Loss  0.869825, Time  0.240089
2021-09-16 08:48:28.563428 : Epoch  4, Batch   1394, Loss  0.884668, Average Loss  0.869952, Time  0.241005
2021-09-16 08:48:31.155608 : Epoch  4, Batch   1395, Loss  0.856919, Average Loss  0.869938, Time  0.240099
2021-09-16 08:48:33.756089 : Epoch  4, Batch   1396, Loss  0.866908, Average Loss  0.869896, Time  0.242483
2021-09-16 08:48:36.353241 : Epoch  4, Batch   1397, Loss  0.869242, Average Loss  0.869790, Time  0.240267
2021-09-16 08:48:38.947208 : Epoch  4, Batch   1398, Loss  0.866962, Average Loss  0.869736, Time  0.240074
2021-09-16 08:48:41.543562 : Epoch  4, Batch   1399, Loss  0.901674, Average Loss  0.869823, Time  0.240184
2021-09-16 08:48:44.141689 : Epoch  4, Batch   1400, Loss  0.877616, Average Loss  0.869837, Time  0.240233
2021-09-16 08:48:46.735238 : Epoch  4, Batch   1401, Loss  0.852812, Average Loss  0.869714, Time  0.240024
2021-09-16 08:48:49.336620 : Epoch  4, Batch   1402, Loss  0.873155, Average Loss  0.869687, Time  0.239751
2021-09-16 08:48:51.934167 : Epoch  4, Batch   1403, Loss  0.856910, Average Loss  0.869577, Time  0.240085
2021-09-16 08:48:54.533893 : Epoch  4, Batch   1404, Loss  0.884094, Average Loss  0.869646, Time  0.240240
2021-09-16 08:48:57.128401 : Epoch  4, Batch   1405, Loss  0.848935, Average Loss  0.869527, Time  0.239787
2021-09-16 08:48:59.720052 : Epoch  4, Batch   1406, Loss  0.858827, Average Loss  0.869437, Time  0.240058
2021-09-16 08:49:02.309594 : Epoch  4, Batch   1407, Loss  0.874719, Average Loss  0.869408, Time  0.240377
2021-09-16 08:49:04.915464 : Epoch  4, Batch   1408, Loss  0.853425, Average Loss  0.869354, Time  0.241226
2021-09-16 08:49:07.510422 : Epoch  4, Batch   1409, Loss  0.866768, Average Loss  0.869339, Time  0.241011
2021-09-16 08:49:10.109623 : Epoch  4, Batch   1410, Loss  0.858461, Average Loss  0.869175, Time  0.241566
2021-09-16 08:49:12.727907 : Epoch  4, Batch   1411, Loss  0.861068, Average Loss  0.869136, Time  0.240880
2021-09-16 08:49:15.324472 : Epoch  4, Batch   1412, Loss  0.877048, Average Loss  0.869205, Time  0.240696
2021-09-16 08:49:17.929857 : Epoch  4, Batch   1413, Loss  0.869993, Average Loss  0.869169, Time  0.243512
2021-09-16 08:49:20.525125 : Epoch  4, Batch   1414, Loss  0.852829, Average Loss  0.869091, Time  0.241507
2021-09-16 08:49:23.130224 : Epoch  4, Batch   1415, Loss  0.849914, Average Loss  0.868945, Time  0.239997
2021-09-16 08:49:25.724001 : Epoch  4, Batch   1416, Loss  0.865024, Average Loss  0.868887, Time  0.240853
2021-09-16 08:49:28.324490 : Epoch  4, Batch   1417, Loss  0.876764, Average Loss  0.868829, Time  0.239940
2021-09-16 08:49:30.912224 : Epoch  4, Batch   1418, Loss  0.869880, Average Loss  0.868967, Time  0.240123
2021-09-16 08:49:33.513930 : Epoch  4, Batch   1419, Loss  0.865252, Average Loss  0.868865, Time  0.240411
2021-09-16 08:49:36.114062 : Epoch  4, Batch   1420, Loss  0.875128, Average Loss  0.868809, Time  0.241410
2021-09-16 08:49:38.705351 : Epoch  4, Batch   1421, Loss  0.867529, Average Loss  0.868852, Time  0.239831
2021-09-16 08:49:41.294179 : Epoch  4, Batch   1422, Loss  0.907891, Average Loss  0.869034, Time  0.240154
2021-09-16 08:49:43.896136 : Epoch  4, Batch   1423, Loss  0.847267, Average Loss  0.868901, Time  0.240405
2021-09-16 08:49:46.482001 : Epoch  4, Batch   1424, Loss  0.884505, Average Loss  0.869074, Time  0.240401
2021-09-16 08:49:49.081030 : Epoch  4, Batch   1425, Loss  0.865468, Average Loss  0.869062, Time  0.241199
2021-09-16 08:49:51.675291 : Epoch  4, Batch   1426, Loss  0.869164, Average Loss  0.868984, Time  0.240199
2021-09-16 08:49:54.270763 : Epoch  4, Batch   1427, Loss  0.879420, Average Loss  0.869014, Time  0.240209
2021-09-16 08:49:56.867010 : Epoch  4, Batch   1428, Loss  0.871240, Average Loss  0.869035, Time  0.240880
2021-09-16 08:49:59.456702 : Epoch  4, Batch   1429, Loss  0.867067, Average Loss  0.868999, Time  0.240181
2021-09-16 08:50:01.730680 : CheckPoint: Validation Loss  0.00030347, Best Loss  0.00029295
2021-09-16 08:50:02.044022 : Epoch  4, Batch   1430, Loss  0.887693, Average Loss  0.869132, Time  0.240106
2021-09-16 08:50:04.633573 : Epoch  4, Batch   1431, Loss  0.884075, Average Loss  0.869295, Time  0.239708
2021-09-16 08:50:04.785125 : Epoch  6, Batch   1521, Loss  0.867911, Average Loss  0.868298, Time  0.267226
2021-09-16 08:50:07.752824 : Epoch  6, Batch   1522, Loss  0.862021, Average Loss  0.868349, Time  0.265645
2021-09-16 08:50:10.778688 : Epoch  6, Batch   1523, Loss  0.860682, Average Loss  0.868291, Time  0.266470
2021-09-16 08:50:13.759843 : Epoch  6, Batch   1524, Loss  0.880460, Average Loss  0.868406, Time  0.265488
2021-09-16 08:50:16.122470 : Epoch  4, Batch   1432, Loss  0.861944, Average Loss  0.869138, Time  0.274476
2021-09-16 08:50:16.739975 : Epoch  6, Batch   1525, Loss  0.865382, Average Loss  0.868408, Time  0.265363
2021-09-16 08:50:19.749272 : Epoch  6, Batch   1526, Loss  0.863183, Average Loss  0.868405, Time  0.265599
2021-09-16 08:50:22.724198 : Epoch  6, Batch   1527, Loss  0.870350, Average Loss  0.868419, Time  0.265658
2021-09-16 08:50:25.727804 : Epoch  6, Batch   1528, Loss  0.844975, Average Loss  0.868233, Time  0.268494
2021-09-16 08:50:28.740684 : Epoch  6, Batch   1529, Loss  0.879430, Average Loss  0.868229, Time  0.266094
2021-09-16 08:50:31.761746 : Epoch  6, Batch   1530, Loss  0.854880, Average Loss  0.868158, Time  0.266385
2021-09-16 08:50:34.771108 : Epoch  6, Batch   1531, Loss  0.874727, Average Loss  0.868219, Time  0.266582
2021-09-16 08:50:37.793454 : Epoch  6, Batch   1532, Loss  0.862790, Average Loss  0.868131, Time  0.267554
2021-09-16 08:50:40.898741 : Epoch  6, Batch   1533, Loss  0.881223, Average Loss  0.868219, Time  0.280650
2021-09-16 08:50:43.913828 : Epoch  6, Batch   1534, Loss  0.873380, Average Loss  0.868173, Time  0.266012
2021-09-16 08:50:46.923341 : Epoch  6, Batch   1535, Loss  0.864072, Average Loss  0.868082, Time  0.265342
2021-09-16 08:50:49.912842 : Epoch  6, Batch   1536, Loss  0.880542, Average Loss  0.868078, Time  0.266938
2021-09-16 08:50:52.908207 : Epoch  6, Batch   1537, Loss  0.871714, Average Loss  0.868076, Time  0.266407
2021-09-16 08:50:55.917831 : Epoch  6, Batch   1538, Loss  0.852332, Average Loss  0.867998, Time  0.265071
2021-09-16 08:50:58.943466 : Epoch  6, Batch   1539, Loss  0.847123, Average Loss  0.867886, Time  0.266158
2021-09-16 08:51:01.963110 : Epoch  6, Batch   1540, Loss  0.866889, Average Loss  0.867801, Time  0.265817
2021-09-16 08:51:04.962399 : Epoch  6, Batch   1541, Loss  0.853446, Average Loss  0.867744, Time  0.266176
2021-09-16 08:51:07.964487 : Epoch  6, Batch   1542, Loss  0.857214, Average Loss  0.867731, Time  0.265147
2021-09-16 08:51:10.948342 : Epoch  6, Batch   1543, Loss  0.871138, Average Loss  0.867749, Time  0.264974
2021-09-16 08:51:13.967275 : Epoch  6, Batch   1544, Loss  0.872870, Average Loss  0.867796, Time  0.265244
2021-09-16 08:51:16.971574 : Epoch  6, Batch   1545, Loss  0.864890, Average Loss  0.867785, Time  0.266184
2021-09-16 08:51:19.946560 : Epoch  6, Batch   1546, Loss  0.868113, Average Loss  0.867852, Time  0.265167
2021-09-16 08:51:22.929452 : Epoch  6, Batch   1547, Loss  0.896615, Average Loss  0.867954, Time  0.265198
2021-09-16 08:51:25.925733 : Epoch  6, Batch   1548, Loss  0.860689, Average Loss  0.867956, Time  0.272302
2021-09-16 08:51:28.902938 : Epoch  6, Batch   1549, Loss  0.844696, Average Loss  0.867784, Time  0.265968
2021-09-16 08:51:31.913819 : Epoch  6, Batch   1550, Loss  0.873787, Average Loss  0.867877, Time  0.267424
2021-09-16 08:51:34.913067 : Epoch  6, Batch   1551, Loss  0.876715, Average Loss  0.867786, Time  0.265836
2021-09-16 08:51:37.915902 : Epoch  6, Batch   1552, Loss  0.861762, Average Loss  0.867736, Time  0.265419
2021-09-16 08:51:40.903194 : Epoch  6, Batch   1553, Loss  0.850451, Average Loss  0.867727, Time  0.266305
2021-09-16 08:51:43.923725 : Epoch  6, Batch   1554, Loss  0.878087, Average Loss  0.867650, Time  0.266038
2021-09-16 08:51:46.911272 : Epoch  6, Batch   1555, Loss  0.895966, Average Loss  0.867838, Time  0.266034
2021-09-16 08:51:49.935357 : Epoch  6, Batch   1556, Loss  0.874962, Average Loss  0.867785, Time  0.265687
2021-09-16 08:51:52.929248 : Epoch  6, Batch   1557, Loss  0.849324, Average Loss  0.867808, Time  0.264975
2021-09-16 08:51:55.913705 : Epoch  6, Batch   1558, Loss  0.876491, Average Loss  0.867948, Time  0.265789
2021-09-16 08:51:58.889088 : Epoch  6, Batch   1559, Loss  0.866171, Average Loss  0.867974, Time  0.265680
2021-09-16 08:52:01.894317 : Epoch  6, Batch   1560, Loss  0.863709, Average Loss  0.868016, Time  0.265454
2021-09-16 08:52:04.880353 : Epoch  6, Batch   1561, Loss  0.857325, Average Loss  0.868018, Time  0.265085
2021-09-16 08:52:07.865044 : Epoch  6, Batch   1562, Loss  0.868060, Average Loss  0.867942, Time  0.266278
2021-09-16 08:52:10.910595 : Epoch  6, Batch   1563, Loss  0.877290, Average Loss  0.867947, Time  0.280485
2021-09-16 08:52:13.917704 : Epoch  6, Batch   1564, Loss  0.862081, Average Loss  0.867833, Time  0.266298
2021-09-16 08:52:16.896658 : Epoch  6, Batch   1565, Loss  0.869025, Average Loss  0.867733, Time  0.265597
2021-09-16 08:52:19.875539 : Epoch  6, Batch   1566, Loss  0.870567, Average Loss  0.867784, Time  0.265491
2021-09-16 08:52:22.863044 : Epoch  6, Batch   1567, Loss  0.886618, Average Loss  0.867848, Time  0.265973
2021-09-16 08:52:25.850002 : Epoch  6, Batch   1568, Loss  0.868944, Average Loss  0.867851, Time  0.266333
2021-09-16 08:52:28.838423 : Epoch  6, Batch   1569, Loss  0.865375, Average Loss  0.867829, Time  0.266783
2021-09-16 08:52:31.822880 : Epoch  6, Batch   1570, Loss  0.870798, Average Loss  0.867886, Time  0.266322
2021-09-16 08:52:34.836171 : Epoch  6, Batch   1571, Loss  0.863860, Average Loss  0.867887, Time  0.266780
2021-09-16 08:52:37.815014 : Epoch  6, Batch   1572, Loss  0.840673, Average Loss  0.867763, Time  0.265513
2021-09-16 08:52:40.802896 : Epoch  6, Batch   1573, Loss  0.859927, Average Loss  0.867706, Time  0.265761
2021-09-16 08:52:43.786364 : Epoch  6, Batch   1574, Loss  0.871962, Average Loss  0.867647, Time  0.265131
2021-09-16 08:52:46.775189 : Epoch  6, Batch   1575, Loss  0.877512, Average Loss  0.867609, Time  0.266603
2021-09-16 08:52:49.806939 : Epoch  6, Batch   1576, Loss  0.873682, Average Loss  0.867664, Time  0.266022
2021-09-16 08:52:52.824516 : Epoch  6, Batch   1577, Loss  0.874073, Average Loss  0.867611, Time  0.265587
2021-09-16 08:52:55.820013 : Epoch  6, Batch   1578, Loss  0.871667, Average Loss  0.867671, Time  0.274396
2021-09-16 08:52:58.803056 : Epoch  6, Batch   1579, Loss  0.889895, Average Loss  0.867798, Time  0.265520
2021-09-16 08:53:01.776902 : Epoch  6, Batch   1580, Loss  0.875694, Average Loss  0.867834, Time  0.266220
2021-09-16 08:53:04.803450 : Epoch  6, Batch   1581, Loss  0.863036, Average Loss  0.867766, Time  0.266340
2021-09-16 08:53:07.778334 : Epoch  6, Batch   1582, Loss  0.849315, Average Loss  0.867662, Time  0.265262
2021-09-16 08:53:10.765317 : Epoch  6, Batch   1583, Loss  0.840744, Average Loss  0.867528, Time  0.265703
2021-09-16 08:53:13.742912 : Epoch  6, Batch   1584, Loss  0.854128, Average Loss  0.867376, Time  0.265662
2021-09-16 08:53:16.722788 : Epoch  6, Batch   1585, Loss  0.865392, Average Loss  0.867272, Time  0.265316
2021-09-16 08:53:19.736381 : Epoch  6, Batch   1586, Loss  0.863965, Average Loss  0.867332, Time  0.266443
2021-09-16 08:53:22.725953 : Epoch  6, Batch   1587, Loss  0.856555, Average Loss  0.867359, Time  0.266488
2021-09-16 08:53:25.735469 : Epoch  6, Batch   1588, Loss  0.874360, Average Loss  0.867387, Time  0.265616
2021-09-16 08:53:28.720326 : Epoch  6, Batch   1589, Loss  0.881771, Average Loss  0.867495, Time  0.268795
2021-09-16 08:53:31.709919 : Epoch  6, Batch   1590, Loss  0.870854, Average Loss  0.867474, Time  0.265321
2021-09-16 08:53:34.711390 : Epoch  6, Batch   1591, Loss  0.853381, Average Loss  0.867418, Time  0.268574
2021-09-16 08:53:37.748070 : Epoch  6, Batch   1592, Loss  0.864241, Average Loss  0.867380, Time  0.266485
2021-09-16 08:53:40.753327 : Epoch  6, Batch   1593, Loss  0.856998, Average Loss  0.867215, Time  0.275843
2021-09-16 08:53:43.754501 : Epoch  6, Batch   1594, Loss  0.853116, Average Loss  0.867157, Time  0.266747
2021-09-16 08:53:46.776497 : Epoch  6, Batch   1595, Loss  0.870688, Average Loss  0.867185, Time  0.265892
2021-09-16 08:53:49.785704 : Epoch  6, Batch   1596, Loss  0.882386, Average Loss  0.867216, Time  0.265828
2021-09-16 08:53:52.817329 : Epoch  6, Batch   1597, Loss  0.868899, Average Loss  0.867237, Time  0.266402
2021-09-16 08:53:55.803857 : Epoch  6, Batch   1598, Loss  0.873154, Average Loss  0.867313, Time  0.265613
2021-09-16 08:53:58.813047 : Epoch  6, Batch   1599, Loss  0.858497, Average Loss  0.867260, Time  0.264995
2021-09-16 08:54:01.829388 : Epoch  6, Batch   1600, Loss  0.863848, Average Loss  0.867207, Time  0.266372
2021-09-16 08:54:04.840723 : Epoch  6, Batch   1601, Loss  0.858441, Average Loss  0.867156, Time  0.267422
2021-09-16 08:54:07.860832 : Epoch  6, Batch   1602, Loss  0.866639, Average Loss  0.867081, Time  0.266645
2021-09-16 08:54:10.862027 : Epoch  6, Batch   1603, Loss  0.855073, Average Loss  0.867005, Time  0.263696
2021-09-16 08:54:13.753770 : Epoch  6, Batch   1604, Loss  0.874072, Average Loss  0.867059, Time  0.263657
2021-09-16 08:54:16.738759 : Epoch  6, Batch   1605, Loss  0.887510, Average Loss  0.867119, Time  0.265825
2021-09-16 08:54:17.675743 : CheckPoint: Validation Loss  0.00030357, Best Loss  0.00029226
2021-09-16 08:54:19.740562 : Epoch  6, Batch   1606, Loss  0.859029, Average Loss  0.867064, Time  0.266119
2021-09-16 08:54:20.282653 : Epoch  4, Batch   1433, Loss  0.862928, Average Loss  0.869094, Time  0.255559
2021-09-16 08:54:22.735419 : Epoch  6, Batch   1607, Loss  0.863563, Average Loss  0.867106, Time  0.265279
2021-09-16 08:54:22.875389 : Epoch  4, Batch   1434, Loss  0.866030, Average Loss  0.869069, Time  0.242695
2021-09-16 08:54:25.457461 : Epoch  4, Batch   1435, Loss  0.872162, Average Loss  0.869006, Time  0.241202
2021-09-16 08:54:25.741996 : Epoch  6, Batch   1608, Loss  0.852636, Average Loss  0.867127, Time  0.273843
2021-09-16 08:54:28.046395 : Epoch  4, Batch   1436, Loss  0.866857, Average Loss  0.868980, Time  0.239841
2021-09-16 08:54:28.775939 : Epoch  6, Batch   1609, Loss  0.870207, Average Loss  0.867116, Time  0.267370
2021-09-16 08:54:30.631951 : Epoch  4, Batch   1437, Loss  0.867481, Average Loss  0.868940, Time  0.239928
2021-09-16 08:54:31.811577 : Epoch  6, Batch   1610, Loss  0.857011, Average Loss  0.867106, Time  0.266425
2021-09-16 08:54:33.216023 : Epoch  4, Batch   1438, Loss  0.870322, Average Loss  0.868943, Time  0.241009
2021-09-16 08:54:34.806915 : Epoch  6, Batch   1611, Loss  0.864482, Average Loss  0.866971, Time  0.266653
2021-09-16 08:54:35.795966 : Epoch  4, Batch   1439, Loss  0.878034, Average Loss  0.868993, Time  0.239789
2021-09-16 08:54:37.794569 : Epoch  6, Batch   1612, Loss  0.869152, Average Loss  0.866901, Time  0.265610
2021-09-16 08:54:38.378092 : Epoch  4, Batch   1440, Loss  0.859169, Average Loss  0.868903, Time  0.241725
2021-09-16 08:54:40.795770 : Epoch  6, Batch   1613, Loss  0.872731, Average Loss  0.866947, Time  0.267037
2021-09-16 08:54:40.964019 : Epoch  4, Batch   1441, Loss  0.865212, Average Loss  0.868934, Time  0.240005
2021-09-16 08:54:43.542900 : Epoch  4, Batch   1442, Loss  0.859502, Average Loss  0.868873, Time  0.241209
2021-09-16 08:54:43.785159 : Epoch  6, Batch   1614, Loss  0.875740, Average Loss  0.867020, Time  0.265772
2021-09-16 08:54:46.125682 : Epoch  4, Batch   1443, Loss  0.867510, Average Loss  0.868864, Time  0.242794
2021-09-16 08:54:46.758415 : Epoch  6, Batch   1615, Loss  0.860212, Average Loss  0.867027, Time  0.265192
2021-09-16 08:54:48.709563 : Epoch  4, Batch   1444, Loss  0.889570, Average Loss  0.868928, Time  0.240571
2021-09-16 08:54:49.798228 : Epoch  6, Batch   1616, Loss  0.875524, Average Loss  0.867101, Time  0.266567
2021-09-16 08:54:51.293088 : Epoch  4, Batch   1445, Loss  0.882006, Average Loss  0.869064, Time  0.240871
2021-09-16 08:54:52.773739 : Epoch  6, Batch   1617, Loss  0.851187, Average Loss  0.867044, Time  0.264843
2021-09-16 08:54:53.879173 : Epoch  4, Batch   1446, Loss  0.825539, Average Loss  0.868812, Time  0.244530
2021-09-16 08:54:55.747335 : Epoch  6, Batch   1618, Loss  0.881823, Average Loss  0.867060, Time  0.265609
2021-09-16 08:54:56.469825 : Epoch  4, Batch   1447, Loss  0.884651, Average Loss  0.868885, Time  0.240608
2021-09-16 08:54:58.751905 : Epoch  6, Batch   1619, Loss  0.883256, Average Loss  0.867064, Time  0.265898
2021-09-16 08:54:59.048368 : Epoch  4, Batch   1448, Loss  0.869608, Average Loss  0.868819, Time  0.240170
2021-09-16 08:55:01.629619 : Epoch  4, Batch   1449, Loss  0.879793, Average Loss  0.868842, Time  0.241584
2021-09-16 08:55:01.739419 : Epoch  6, Batch   1620, Loss  0.855989, Average Loss  0.867077, Time  0.265015
2021-09-16 08:55:04.213174 : Epoch  4, Batch   1450, Loss  0.887917, Average Loss  0.868967, Time  0.241523
2021-09-16 08:55:06.802902 : Epoch  4, Batch   1451, Loss  0.868052, Average Loss  0.868998, Time  0.241577
2021-09-16 08:55:09.387478 : Epoch  4, Batch   1452, Loss  0.865261, Average Loss  0.868968, Time  0.239956
2021-09-16 08:55:11.979068 : Epoch  4, Batch   1453, Loss  0.875779, Average Loss  0.868998, Time  0.240617
2021-09-16 08:55:14.557913 : Epoch  4, Batch   1454, Loss  0.849580, Average Loss  0.868827, Time  0.240356
2021-09-16 08:55:17.145290 : Epoch  4, Batch   1455, Loss  0.869464, Average Loss  0.868848, Time  0.244618
2021-09-16 08:55:19.726263 : Epoch  4, Batch   1456, Loss  0.876988, Average Loss  0.868838, Time  0.240099
2021-09-16 08:55:22.321071 : Epoch  4, Batch   1457, Loss  0.857425, Average Loss  0.868830, Time  0.240067
2021-09-16 08:55:24.901393 : Epoch  4, Batch   1458, Loss  0.862231, Average Loss  0.868917, Time  0.239958
2021-09-16 08:55:27.502647 : Epoch  4, Batch   1459, Loss  0.862946, Average Loss  0.868799, Time  0.239717
2021-09-16 08:55:30.090127 : Epoch  4, Batch   1460, Loss  0.870752, Average Loss  0.868941, Time  0.240252
2021-09-16 08:55:32.674138 : Epoch  4, Batch   1461, Loss  0.888445, Average Loss  0.868965, Time  0.240022
2021-09-16 08:55:35.255962 : Epoch  4, Batch   1462, Loss  0.878758, Average Loss  0.869128, Time  0.241015
2021-09-16 08:55:37.842877 : Epoch  4, Batch   1463, Loss  0.869431, Average Loss  0.869091, Time  0.240487
2021-09-16 08:55:40.427831 : Epoch  4, Batch   1464, Loss  0.862184, Average Loss  0.869018, Time  0.240002
2021-09-16 08:55:43.008618 : Epoch  4, Batch   1465, Loss  0.867153, Average Loss  0.869072, Time  0.239984
2021-09-16 08:55:45.593108 : Epoch  4, Batch   1466, Loss  0.882423, Average Loss  0.869249, Time  0.241136
2021-09-16 08:55:48.177997 : Epoch  4, Batch   1467, Loss  0.869186, Average Loss  0.869070, Time  0.240338
2021-09-16 08:55:50.761859 : Epoch  4, Batch   1468, Loss  0.865195, Average Loss  0.869105, Time  0.240969
2021-09-16 08:55:53.347820 : Epoch  4, Batch   1469, Loss  0.876018, Average Loss  0.869072, Time  0.240043
2021-09-16 08:55:55.940898 : Epoch  4, Batch   1470, Loss  0.847872, Average Loss  0.868959, Time  0.241410
2021-09-16 08:55:58.518000 : Epoch  4, Batch   1471, Loss  0.857599, Average Loss  0.868949, Time  0.240163
2021-09-16 08:56:01.103918 : Epoch  4, Batch   1472, Loss  0.855029, Average Loss  0.868830, Time  0.240352
2021-09-16 08:56:03.693823 : Epoch  4, Batch   1473, Loss  0.861927, Average Loss  0.868669, Time  0.240600
2021-09-16 08:56:06.281068 : Epoch  4, Batch   1474, Loss  0.856290, Average Loss  0.868564, Time  0.240987
2021-09-16 08:56:08.860658 : Epoch  4, Batch   1475, Loss  0.885943, Average Loss  0.868701, Time  0.240999
2021-09-16 08:56:11.444854 : Epoch  4, Batch   1476, Loss  0.867810, Average Loss  0.868681, Time  0.240086
2021-09-16 08:56:14.035837 : Epoch  4, Batch   1477, Loss  0.867437, Average Loss  0.868668, Time  0.240916
2021-09-16 08:56:16.641958 : Epoch  4, Batch   1478, Loss  0.878326, Average Loss  0.868756, Time  0.241614
2021-09-16 08:56:19.221986 : Epoch  4, Batch   1479, Loss  0.876340, Average Loss  0.868813, Time  0.240060
2021-09-16 08:56:21.806578 : Epoch  4, Batch   1480, Loss  0.872729, Average Loss  0.868882, Time  0.240951
2021-09-16 08:56:24.387746 : Epoch  4, Batch   1481, Loss  0.868559, Average Loss  0.868855, Time  0.240143
2021-09-16 08:56:26.972890 : Epoch  4, Batch   1482, Loss  0.869816, Average Loss  0.868887, Time  0.240392
2021-09-16 08:56:29.553099 : Epoch  4, Batch   1483, Loss  0.874585, Average Loss  0.868954, Time  0.240064
2021-09-16 08:56:32.129897 : Epoch  4, Batch   1484, Loss  0.859600, Average Loss  0.868955, Time  0.239955
2021-09-16 08:56:34.720996 : Epoch  4, Batch   1485, Loss  0.889192, Average Loss  0.868991, Time  0.240313
2021-09-16 08:56:37.321612 : Epoch  4, Batch   1486, Loss  0.876639, Average Loss  0.869004, Time  0.239832
2021-09-16 08:56:39.906189 : Epoch  4, Batch   1487, Loss  0.871289, Average Loss  0.869003, Time  0.241302
2021-09-16 08:56:42.493360 : Epoch  4, Batch   1488, Loss  0.880422, Average Loss  0.869138, Time  0.244030
2021-09-16 08:56:45.077679 : Epoch  4, Batch   1489, Loss  0.875319, Average Loss  0.869153, Time  0.240698
2021-09-16 08:56:47.668908 : Epoch  4, Batch   1490, Loss  0.869160, Average Loss  0.869117, Time  0.241238
2021-09-16 08:56:50.247808 : Epoch  4, Batch   1491, Loss  0.849466, Average Loss  0.869062, Time  0.241089
2021-09-16 08:56:52.833021 : Epoch  4, Batch   1492, Loss  0.845565, Average Loss  0.869055, Time  0.241786
2021-09-16 08:56:55.414898 : Epoch  4, Batch   1493, Loss  0.862499, Average Loss  0.869098, Time  0.241673
2021-09-16 08:56:57.994865 : Epoch  4, Batch   1494, Loss  0.886935, Average Loss  0.869185, Time  0.240501
2021-09-16 08:57:00.580192 : Epoch  4, Batch   1495, Loss  0.878028, Average Loss  0.869149, Time  0.239975
2021-09-16 08:57:03.167998 : Epoch  4, Batch   1496, Loss  0.872134, Average Loss  0.869180, Time  0.240280
2021-09-16 08:57:05.759302 : Epoch  4, Batch   1497, Loss  0.882468, Average Loss  0.869323, Time  0.240259
2021-09-16 08:57:08.347954 : Epoch  4, Batch   1498, Loss  0.873038, Average Loss  0.869323, Time  0.241256
2021-09-16 08:57:10.938539 : Epoch  4, Batch   1499, Loss  0.861133, Average Loss  0.869286, Time  0.241524
2021-09-16 08:57:13.525830 : Epoch  4, Batch   1500, Loss  0.884772, Average Loss  0.869441, Time  0.241640
2021-09-16 08:57:16.108998 : Epoch  4, Batch   1501, Loss  0.856565, Average Loss  0.869529, Time  0.240845
2021-09-16 08:57:18.691994 : Epoch  4, Batch   1502, Loss  0.893529, Average Loss  0.869569, Time  0.240342
2021-09-16 08:57:21.267630 : Epoch  4, Batch   1503, Loss  0.868864, Average Loss  0.869569, Time  0.239750
2021-09-16 08:57:23.852191 : Epoch  4, Batch   1504, Loss  0.878298, Average Loss  0.869640, Time  0.239733
2021-09-16 08:57:26.442004 : Epoch  4, Batch   1505, Loss  0.851496, Average Loss  0.869512, Time  0.242612
2021-09-16 08:57:29.026041 : Epoch  4, Batch   1506, Loss  0.879716, Average Loss  0.869568, Time  0.239851
2021-09-16 08:57:31.615917 : Epoch  4, Batch   1507, Loss  0.878123, Average Loss  0.869550, Time  0.240133
2021-09-16 08:57:34.198923 : Epoch  4, Batch   1508, Loss  0.867007, Average Loss  0.869588, Time  0.240002
2021-09-16 08:57:36.785395 : Epoch  4, Batch   1509, Loss  0.880248, Average Loss  0.869655, Time  0.240086
2021-09-16 08:57:39.372170 : Epoch  4, Batch   1510, Loss  0.855962, Average Loss  0.869578, Time  0.240108
2021-09-16 08:57:41.967433 : Epoch  4, Batch   1511, Loss  0.843912, Average Loss  0.869468, Time  0.239907
2021-09-16 08:57:44.570066 : Epoch  4, Batch   1512, Loss  0.858315, Average Loss  0.869467, Time  0.240919
2021-09-16 08:57:47.173954 : Epoch  4, Batch   1513, Loss  0.892039, Average Loss  0.869719, Time  0.240375
2021-09-16 08:57:49.766238 : Epoch  4, Batch   1514, Loss  0.853419, Average Loss  0.869601, Time  0.241101
2021-09-16 08:57:52.355889 : Epoch  4, Batch   1515, Loss  0.879041, Average Loss  0.869741, Time  0.240284
2021-09-16 08:57:54.945190 : Epoch  4, Batch   1516, Loss  0.881260, Average Loss  0.869834, Time  0.241145
2021-09-16 08:57:57.531072 : Epoch  4, Batch   1517, Loss  0.860848, Average Loss  0.869777, Time  0.240534
2021-09-16 08:58:00.119090 : Epoch  4, Batch   1518, Loss  0.858371, Average Loss  0.869760, Time  0.241435
2021-09-16 08:58:02.697118 : Epoch  4, Batch   1519, Loss  0.870175, Average Loss  0.869780, Time  0.240243
2021-09-16 08:58:05.288996 : Epoch  4, Batch   1520, Loss  0.872608, Average Loss  0.869740, Time  0.241706
2021-09-16 08:58:07.867858 : Epoch  4, Batch   1521, Loss  0.877648, Average Loss  0.869837, Time  0.240704
2021-09-16 08:58:10.467201 : Epoch  4, Batch   1522, Loss  0.879078, Average Loss  0.869879, Time  0.240355
2021-09-16 08:58:13.049085 : Epoch  4, Batch   1523, Loss  0.876915, Average Loss  0.869935, Time  0.240093
2021-09-16 08:58:15.643579 : Epoch  4, Batch   1524, Loss  0.880150, Average Loss  0.870015, Time  0.240143
2021-09-16 08:58:18.233134 : Epoch  4, Batch   1525, Loss  0.883543, Average Loss  0.870031, Time  0.240170
2021-09-16 08:58:20.822017 : Epoch  4, Batch   1526, Loss  0.862875, Average Loss  0.870012, Time  0.241225
2021-09-16 08:58:23.402917 : Epoch  4, Batch   1527, Loss  0.857633, Average Loss  0.870025, Time  0.240008
2021-09-16 08:58:25.994191 : Epoch  4, Batch   1528, Loss  0.862054, Average Loss  0.869927, Time  0.239969
2021-09-16 08:58:28.592401 : Epoch  4, Batch   1529, Loss  0.883868, Average Loss  0.870044, Time  0.239840
2021-09-16 08:58:31.171390 : Epoch  4, Batch   1530, Loss  0.880885, Average Loss  0.870090, Time  0.240626
2021-09-16 08:58:33.760920 : Epoch  4, Batch   1531, Loss  0.862897, Average Loss  0.870071, Time  0.240251
2021-09-16 08:58:36.348087 : Epoch  4, Batch   1532, Loss  0.858236, Average Loss  0.870074, Time  0.241079
2021-09-16 08:59:42.364685 : CheckPoint: Validation Loss  0.00030310, Best Loss  0.00029295
2021-09-16 08:59:45.370376 : Epoch  6, Batch   1621, Loss  0.889400, Average Loss  0.867108, Time  0.267151
2021-09-16 08:59:48.379002 : Epoch  6, Batch   1622, Loss  0.868237, Average Loss  0.867124, Time  0.277957
2021-09-16 08:59:51.354714 : Epoch  6, Batch   1623, Loss  0.877245, Average Loss  0.867154, Time  0.265979
2021-09-16 08:59:54.337021 : Epoch  6, Batch   1624, Loss  0.855982, Average Loss  0.867114, Time  0.265316
2021-09-16 08:59:57.317470 : Epoch  6, Batch   1625, Loss  0.879754, Average Loss  0.867197, Time  0.267642
2021-09-16 09:00:00.310361 : Epoch  6, Batch   1626, Loss  0.862499, Average Loss  0.867129, Time  0.265229
2021-09-16 09:00:03.286854 : Epoch  6, Batch   1627, Loss  0.865130, Average Loss  0.867080, Time  0.266750
2021-09-16 09:00:06.280403 : Epoch  6, Batch   1628, Loss  0.872208, Average Loss  0.867196, Time  0.265653
2021-09-16 09:00:09.262227 : Epoch  6, Batch   1629, Loss  0.865217, Average Loss  0.867101, Time  0.266210
2021-09-16 09:00:12.234015 : Epoch  6, Batch   1630, Loss  0.897763, Average Loss  0.867318, Time  0.266316
2021-09-16 09:00:15.198346 : Epoch  6, Batch   1631, Loss  0.881029, Average Loss  0.867467, Time  0.265897
2021-09-16 09:00:18.213053 : Epoch  6, Batch   1632, Loss  0.874418, Average Loss  0.867362, Time  0.266918
2021-09-16 09:00:21.234083 : Epoch  6, Batch   1633, Loss  0.881538, Average Loss  0.867530, Time  0.265952
2021-09-16 09:00:24.228659 : Epoch  6, Batch   1634, Loss  0.885301, Average Loss  0.867568, Time  0.265551
2021-09-16 09:00:27.222646 : Epoch  6, Batch   1635, Loss  0.871791, Average Loss  0.867573, Time  0.265737
2021-09-16 09:00:30.198790 : Epoch  6, Batch   1636, Loss  0.853784, Average Loss  0.867612, Time  0.266997
2021-09-16 09:00:33.175302 : Epoch  6, Batch   1637, Loss  0.858297, Average Loss  0.867554, Time  0.265123
2021-09-16 09:00:36.174702 : Epoch  6, Batch   1638, Loss  0.867653, Average Loss  0.867535, Time  0.277881
2021-09-16 09:00:39.153871 : Epoch  6, Batch   1639, Loss  0.877154, Average Loss  0.867610, Time  0.266029
2021-09-16 09:00:42.131115 : Epoch  6, Batch   1640, Loss  0.870434, Average Loss  0.867598, Time  0.266299
2021-09-16 09:00:45.131184 : Epoch  6, Batch   1641, Loss  0.837577, Average Loss  0.867475, Time  0.266806
2021-09-16 09:00:48.153770 : Epoch  6, Batch   1642, Loss  0.871962, Average Loss  0.867530, Time  0.266161
2021-09-16 09:00:51.126627 : Epoch  6, Batch   1643, Loss  0.873292, Average Loss  0.867608, Time  0.265036
2021-09-16 09:00:54.121575 : Epoch  6, Batch   1644, Loss  0.856644, Average Loss  0.867480, Time  0.265714
2021-09-16 09:00:57.097082 : Epoch  6, Batch   1645, Loss  0.856195, Average Loss  0.867365, Time  0.266374
2021-09-16 09:01:00.085839 : Epoch  6, Batch   1646, Loss  0.859002, Average Loss  0.867255, Time  0.265594
2021-09-16 09:01:03.088648 : Epoch  6, Batch   1647, Loss  0.866188, Average Loss  0.867244, Time  0.267968
2021-09-16 09:01:06.078098 : Epoch  6, Batch   1648, Loss  0.848370, Average Loss  0.867189, Time  0.265972
2021-09-16 09:01:09.056888 : Epoch  6, Batch   1649, Loss  0.879101, Average Loss  0.867258, Time  0.265751
2021-09-16 09:01:12.064560 : Epoch  6, Batch   1650, Loss  0.881474, Average Loss  0.867353, Time  0.267239
2021-09-16 09:01:15.044492 : Epoch  6, Batch   1651, Loss  0.874915, Average Loss  0.867291, Time  0.265131
2021-09-16 09:01:18.048801 : Epoch  6, Batch   1652, Loss  0.865899, Average Loss  0.867143, Time  0.266370
2021-09-16 09:01:21.054619 : Epoch  6, Batch   1653, Loss  0.874682, Average Loss  0.867137, Time  0.272243
2021-09-16 09:01:24.062167 : Epoch  6, Batch   1654, Loss  0.889690, Average Loss  0.867258, Time  0.267238
2021-09-16 09:01:27.069868 : Epoch  6, Batch   1655, Loss  0.861390, Average Loss  0.867286, Time  0.266702
2021-09-16 09:01:30.051399 : Epoch  6, Batch   1656, Loss  0.852117, Average Loss  0.867211, Time  0.266835
2021-09-16 09:01:33.063978 : Epoch  6, Batch   1657, Loss  0.876617, Average Loss  0.867205, Time  0.265721
2021-09-16 09:01:36.051157 : Epoch  6, Batch   1658, Loss  0.872830, Average Loss  0.867197, Time  0.265281
2021-09-16 09:01:39.058625 : Epoch  6, Batch   1659, Loss  0.882754, Average Loss  0.867335, Time  0.265893
2021-09-16 09:01:42.054132 : Epoch  6, Batch   1660, Loss  0.849575, Average Loss  0.867265, Time  0.267390
2021-09-16 09:01:45.080031 : Epoch  6, Batch   1661, Loss  0.867036, Average Loss  0.867222, Time  0.265881
2021-09-16 09:01:48.053052 : Epoch  6, Batch   1662, Loss  0.852639, Average Loss  0.867283, Time  0.265642
2021-09-16 09:01:51.036284 : Epoch  6, Batch   1663, Loss  0.844109, Average Loss  0.867258, Time  0.265480
2021-09-16 09:01:54.047122 : Epoch  6, Batch   1664, Loss  0.855732, Average Loss  0.867164, Time  0.265788
2021-09-16 09:01:57.059794 : Epoch  6, Batch   1665, Loss  0.878345, Average Loss  0.867211, Time  0.266335
2021-09-16 09:02:00.072972 : Epoch  6, Batch   1666, Loss  0.864316, Average Loss  0.867314, Time  0.266571
2021-09-16 09:02:03.058864 : Epoch  6, Batch   1667, Loss  0.865500, Average Loss  0.867364, Time  0.267838
2021-09-16 09:02:06.056448 : Epoch  6, Batch   1668, Loss  0.887974, Average Loss  0.867474, Time  0.278098
2021-09-16 09:02:09.036327 : Epoch  6, Batch   1669, Loss  0.871379, Average Loss  0.867454, Time  0.266050
2021-09-16 09:02:12.033540 : Epoch  6, Batch   1670, Loss  0.873782, Average Loss  0.867436, Time  0.265387
2021-09-16 09:02:15.021979 : Epoch  6, Batch   1671, Loss  0.880368, Average Loss  0.867497, Time  0.266686
2021-09-16 09:02:18.010240 : Epoch  6, Batch   1672, Loss  0.865399, Average Loss  0.867400, Time  0.266444
2021-09-16 09:02:21.025696 : Epoch  6, Batch   1673, Loss  0.866625, Average Loss  0.867304, Time  0.266209
2021-09-16 09:02:24.035815 : Epoch  6, Batch   1674, Loss  0.853512, Average Loss  0.867256, Time  0.267462
2021-09-16 09:02:27.002530 : Epoch  6, Batch   1675, Loss  0.872684, Average Loss  0.867348, Time  0.265858
2021-09-16 09:02:29.976784 : Epoch  6, Batch   1676, Loss  0.868520, Average Loss  0.867413, Time  0.264837
2021-09-16 09:02:32.981105 : Epoch  6, Batch   1677, Loss  0.842686, Average Loss  0.867225, Time  0.265205
2021-09-16 09:02:35.981870 : Epoch  6, Batch   1678, Loss  0.858117, Average Loss  0.867124, Time  0.265546
2021-09-16 09:02:38.965982 : Epoch  6, Batch   1679, Loss  0.861091, Average Loss  0.866974, Time  0.265930
2021-09-16 09:02:40.733750 : CheckPoint: Validation Loss  0.00030025, Best Loss  0.00029226
2021-09-16 09:02:41.928799 : Epoch  6, Batch   1680, Loss  0.878134, Average Loss  0.866853, Time  0.266868
2021-09-16 09:02:43.341220 : Epoch  4, Batch   1533, Loss  0.863568, Average Loss  0.870133, Time  0.241389
2021-09-16 09:02:44.921408 : Epoch  6, Batch   1681, Loss  0.878349, Average Loss  0.866820, Time  0.265446
2021-09-16 09:02:45.951741 : Epoch  4, Batch   1534, Loss  0.862037, Average Loss  0.870122, Time  0.241500
2021-09-16 09:02:47.895621 : Epoch  6, Batch   1682, Loss  0.862702, Average Loss  0.866796, Time  0.265534
2021-09-16 09:02:48.549090 : Epoch  4, Batch   1535, Loss  0.889682, Average Loss  0.870275, Time  0.239949
2021-09-16 09:02:50.884409 : Epoch  6, Batch   1683, Loss  0.888655, Average Loss  0.866983, Time  0.278105
2021-09-16 09:02:51.144905 : Epoch  4, Batch   1536, Loss  0.854675, Average Loss  0.870172, Time  0.240115
2021-09-16 09:02:53.741074 : Epoch  4, Batch   1537, Loss  0.872146, Average Loss  0.870159, Time  0.240692
2021-09-16 09:02:53.879270 : Epoch  6, Batch   1684, Loss  0.865787, Average Loss  0.867030, Time  0.265353
2021-09-16 09:02:56.335579 : Epoch  4, Batch   1538, Loss  0.863054, Average Loss  0.870230, Time  0.240955
2021-09-16 09:02:56.840116 : Epoch  6, Batch   1685, Loss  0.868998, Average Loss  0.867007, Time  0.265645
2021-09-16 09:02:58.928086 : Epoch  4, Batch   1539, Loss  0.857385, Average Loss  0.870068, Time  0.239993
2021-09-16 09:02:59.826077 : Epoch  6, Batch   1686, Loss  0.878092, Average Loss  0.867106, Time  0.265256
2021-09-16 09:03:01.519403 : Epoch  4, Batch   1540, Loss  0.866028, Average Loss  0.870107, Time  0.239870
2021-09-16 09:03:02.810060 : Epoch  6, Batch   1687, Loss  0.875386, Average Loss  0.867158, Time  0.265812
2021-09-16 09:03:04.113677 : Epoch  4, Batch   1541, Loss  0.874240, Average Loss  0.870059, Time  0.239925
2021-09-16 09:03:05.789665 : Epoch  6, Batch   1688, Loss  0.890782, Average Loss  0.867302, Time  0.267351
2021-09-16 09:03:06.716405 : Epoch  4, Batch   1542, Loss  0.864321, Average Loss  0.870031, Time  0.239807
2021-09-16 09:03:08.769320 : Epoch  6, Batch   1689, Loss  0.859021, Average Loss  0.867247, Time  0.265738
2021-09-16 09:03:09.308400 : Epoch  4, Batch   1543, Loss  0.861511, Average Loss  0.869951, Time  0.239740
2021-09-16 09:03:11.774688 : Epoch  6, Batch   1690, Loss  0.868844, Average Loss  0.867312, Time  0.266814
2021-09-16 09:03:11.907594 : Epoch  4, Batch   1544, Loss  0.883653, Average Loss  0.870010, Time  0.240579
2021-09-16 09:03:14.495434 : Epoch  4, Batch   1545, Loss  0.898739, Average Loss  0.870086, Time  0.239662
2021-09-16 09:03:14.760211 : Epoch  6, Batch   1691, Loss  0.889587, Average Loss  0.867423, Time  0.264031
2021-09-16 09:03:17.101120 : Epoch  4, Batch   1546, Loss  0.854542, Average Loss  0.870003, Time  0.241369
2021-09-16 09:03:17.694467 : Epoch  6, Batch   1692, Loss  0.873673, Average Loss  0.867529, Time  0.265468
2021-09-16 09:03:19.701936 : Epoch  4, Batch   1547, Loss  0.896070, Average Loss  0.870055, Time  0.242666
2021-09-16 09:03:20.716076 : Epoch  6, Batch   1693, Loss  0.874400, Average Loss  0.867628, Time  0.265822
2021-09-16 09:03:22.302019 : Epoch  4, Batch   1548, Loss  0.872286, Average Loss  0.870108, Time  0.240128
2021-09-16 09:03:23.732536 : Epoch  6, Batch   1694, Loss  0.878430, Average Loss  0.867663, Time  0.266422
2021-09-16 09:03:24.908427 : Epoch  4, Batch   1549, Loss  0.855954, Average Loss  0.870084, Time  0.242046
2021-09-16 09:03:26.723630 : Epoch  6, Batch   1695, Loss  0.856753, Average Loss  0.867583, Time  0.265063
2021-09-16 09:03:27.514844 : Epoch  4, Batch   1550, Loss  0.854618, Average Loss  0.870021, Time  0.240852
2021-09-16 09:03:29.725098 : Epoch  6, Batch   1696, Loss  0.865335, Average Loss  0.867599, Time  0.266353
2021-09-16 09:03:30.122858 : Epoch  4, Batch   1551, Loss  0.854409, Average Loss  0.869863, Time  0.241735
2021-09-16 09:03:32.708198 : Epoch  4, Batch   1552, Loss  0.891076, Average Loss  0.869927, Time  0.240557
2021-09-16 09:03:32.746555 : Epoch  6, Batch   1697, Loss  0.864174, Average Loss  0.867530, Time  0.265390
2021-09-16 09:03:35.305255 : Epoch  4, Batch   1553, Loss  0.882657, Average Loss  0.869832, Time  0.240522
2021-09-16 09:03:35.760457 : Epoch  6, Batch   1698, Loss  0.867657, Average Loss  0.867553, Time  0.271665
2021-09-16 09:03:37.908617 : Epoch  4, Batch   1554, Loss  0.870770, Average Loss  0.869778, Time  0.240015
2021-09-16 09:03:38.735447 : Epoch  6, Batch   1699, Loss  0.837301, Average Loss  0.867268, Time  0.265817
2021-09-16 09:03:40.512381 : Epoch  4, Batch   1555, Loss  0.893877, Average Loss  0.869897, Time  0.240804
2021-09-16 09:03:41.724538 : Epoch  6, Batch   1700, Loss  0.878441, Average Loss  0.867325, Time  0.265961
2021-09-16 09:03:43.118064 : Epoch  4, Batch   1556, Loss  0.882322, Average Loss  0.869988, Time  0.240992
2021-09-16 09:03:44.719471 : Epoch  6, Batch   1701, Loss  0.875058, Average Loss  0.867388, Time  0.266568
2021-09-16 09:03:45.716041 : Epoch  4, Batch   1557, Loss  0.849445, Average Loss  0.869908, Time  0.240254
2021-09-16 09:03:47.725690 : Epoch  6, Batch   1702, Loss  0.872161, Average Loss  0.867527, Time  0.264336
2021-09-16 09:03:48.311853 : Epoch  4, Batch   1558, Loss  0.847259, Average Loss  0.869889, Time  0.240331
2021-09-16 09:03:50.637023 : Epoch  6, Batch   1703, Loss  0.861410, Average Loss  0.867602, Time  0.264494
2021-09-16 09:03:50.906822 : Epoch  4, Batch   1559, Loss  0.893826, Average Loss  0.869902, Time  0.240996
2021-09-16 09:03:53.509417 : Epoch  4, Batch   1560, Loss  0.866411, Average Loss  0.869850, Time  0.240033
2021-09-16 09:03:53.666060 : Epoch  6, Batch   1704, Loss  0.869889, Average Loss  0.867628, Time  0.266078
2021-09-16 09:03:56.109254 : Epoch  4, Batch   1561, Loss  0.880328, Average Loss  0.869966, Time  0.239979
2021-09-16 09:03:56.678989 : Epoch  6, Batch   1705, Loss  0.873338, Average Loss  0.867682, Time  0.266606
2021-09-16 09:03:58.711034 : Epoch  4, Batch   1562, Loss  0.895546, Average Loss  0.870056, Time  0.240928
2021-09-16 09:03:59.679053 : Epoch  6, Batch   1706, Loss  0.874270, Average Loss  0.867769, Time  0.266153
2021-09-16 09:04:01.307238 : Epoch  4, Batch   1563, Loss  0.878825, Average Loss  0.870191, Time  0.240524
2021-09-16 09:04:02.721839 : Epoch  6, Batch   1707, Loss  0.884194, Average Loss  0.867768, Time  0.267378
2021-09-16 09:04:03.905470 : Epoch  4, Batch   1564, Loss  0.854042, Average Loss  0.870148, Time  0.240248
2021-09-16 09:04:05.717334 : Epoch  6, Batch   1708, Loss  0.871242, Average Loss  0.867819, Time  0.266678
2021-09-16 09:04:06.495875 : Epoch  4, Batch   1565, Loss  0.861849, Average Loss  0.870109, Time  0.240697
2021-09-16 09:04:08.708868 : Epoch  6, Batch   1709, Loss  0.849811, Average Loss  0.867768, Time  0.266890
2021-09-16 09:04:09.097404 : Epoch  4, Batch   1566, Loss  0.855311, Average Loss  0.869951, Time  0.240019
2021-09-16 09:04:11.681852 : Epoch  4, Batch   1567, Loss  0.864446, Average Loss  0.869777, Time  0.241646
2021-09-16 09:04:11.758061 : Epoch  6, Batch   1710, Loss  0.872939, Average Loss  0.867763, Time  0.267941
2021-09-16 09:04:14.275591 : Epoch  4, Batch   1568, Loss  0.869754, Average Loss  0.869851, Time  0.240623
2021-09-16 09:04:14.768038 : Epoch  6, Batch   1711, Loss  0.876433, Average Loss  0.867741, Time  0.265136
2021-09-16 09:04:16.860102 : Epoch  4, Batch   1569, Loss  0.869080, Average Loss  0.869776, Time  0.240038
2021-09-16 09:04:17.755810 : Epoch  6, Batch   1712, Loss  0.879744, Average Loss  0.867824, Time  0.265297
2021-09-16 09:04:19.451038 : Epoch  4, Batch   1570, Loss  0.869173, Average Loss  0.869783, Time  0.240002
2021-09-16 09:04:20.776929 : Epoch  6, Batch   1713, Loss  0.873280, Average Loss  0.867758, Time  0.278107
2021-09-16 09:04:22.048448 : Epoch  4, Batch   1571, Loss  0.876997, Average Loss  0.869818, Time  0.239630
2021-09-16 09:04:23.788925 : Epoch  6, Batch   1714, Loss  0.874426, Average Loss  0.867968, Time  0.266550
2021-09-16 09:04:24.654613 : Epoch  4, Batch   1572, Loss  0.860211, Average Loss  0.869792, Time  0.240955
2021-09-16 09:04:26.800570 : Epoch  6, Batch   1715, Loss  0.860085, Average Loss  0.867950, Time  0.265872
2021-09-16 09:04:27.252413 : Epoch  4, Batch   1573, Loss  0.853028, Average Loss  0.869794, Time  0.240303
2021-09-16 09:04:29.784483 : Epoch  6, Batch   1716, Loss  0.870879, Average Loss  0.867992, Time  0.264858
2021-09-16 09:04:29.842178 : Epoch  4, Batch   1574, Loss  0.846619, Average Loss  0.869599, Time  0.240754
2021-09-16 09:04:32.443716 : Epoch  4, Batch   1575, Loss  0.889004, Average Loss  0.869727, Time  0.240584
2021-09-16 09:04:32.795064 : Epoch  6, Batch   1717, Loss  0.894555, Average Loss  0.868105, Time  0.265758
2021-09-16 09:04:35.046488 : Epoch  4, Batch   1576, Loss  0.883847, Average Loss  0.869761, Time  0.240224
2021-09-16 09:04:35.795990 : Epoch  6, Batch   1718, Loss  0.869813, Average Loss  0.868176, Time  0.265797
2021-09-16 09:04:37.663417 : Epoch  4, Batch   1577, Loss  0.879923, Average Loss  0.869758, Time  0.240904
2021-09-16 09:04:38.714714 : Epoch  6, Batch   1719, Loss  0.865101, Average Loss  0.868118, Time  0.265294
2021-09-16 09:04:40.259467 : Epoch  4, Batch   1578, Loss  0.870354, Average Loss  0.869680, Time  0.241285
2021-09-16 09:04:42.862635 : Epoch  4, Batch   1579, Loss  0.866087, Average Loss  0.869650, Time  0.240988
2021-09-16 09:04:45.461863 : Epoch  4, Batch   1580, Loss  0.880720, Average Loss  0.869676, Time  0.240127
2021-09-16 09:04:48.064406 : Epoch  4, Batch   1581, Loss  0.862181, Average Loss  0.869590, Time  0.240359
2021-09-16 09:04:49.683472 : Epoch  6, Batch   1720, Loss  0.873160, Average Loss  0.868165, Time  0.266405
2021-09-16 09:04:50.672788 : Epoch  4, Batch   1582, Loss  0.872324, Average Loss  0.869676, Time  0.241594
2021-09-16 09:04:53.274949 : Epoch  4, Batch   1583, Loss  0.884729, Average Loss  0.869739, Time  0.239829
2021-09-16 09:04:55.878011 : Epoch  4, Batch   1584, Loss  0.853819, Average Loss  0.869815, Time  0.241995
2021-09-16 09:04:58.477829 : Epoch  4, Batch   1585, Loss  0.880405, Average Loss  0.869766, Time  0.240358
2021-09-16 09:05:01.084958 : Epoch  4, Batch   1586, Loss  0.908191, Average Loss  0.870031, Time  0.240136
2021-09-16 09:05:03.705134 : Epoch  4, Batch   1587, Loss  0.853525, Average Loss  0.869966, Time  0.241021
2021-09-16 09:05:06.305426 : Epoch  4, Batch   1588, Loss  0.865542, Average Loss  0.869876, Time  0.239878
2021-09-16 09:05:08.905444 : Epoch  4, Batch   1589, Loss  0.857764, Average Loss  0.869837, Time  0.240459
2021-09-16 09:05:11.505165 : Epoch  4, Batch   1590, Loss  0.874855, Average Loss  0.869924, Time  0.240488
2021-09-16 09:05:14.098402 : Epoch  4, Batch   1591, Loss  0.880764, Average Loss  0.870055, Time  0.240673
2021-09-16 09:05:16.690920 : Epoch  4, Batch   1592, Loss  0.849023, Average Loss  0.869996, Time  0.240033
2021-09-16 09:05:19.293231 : Epoch  4, Batch   1593, Loss  0.865468, Average Loss  0.869868, Time  0.240473
2021-09-16 09:05:21.892092 : Epoch  4, Batch   1594, Loss  0.864548, Average Loss  0.869767, Time  0.240200
2021-09-16 09:05:24.523413 : Epoch  4, Batch   1595, Loss  0.872688, Average Loss  0.869846, Time  0.240766
2021-09-16 09:05:27.125457 : Epoch  4, Batch   1596, Loss  0.862477, Average Loss  0.869824, Time  0.240415
2021-09-16 09:05:29.744694 : Epoch  4, Batch   1597, Loss  0.892282, Average Loss  0.869939, Time  0.240495
2021-09-16 09:05:32.360479 : Epoch  4, Batch   1598, Loss  0.869450, Average Loss  0.869952, Time  0.241897
2021-09-16 09:05:34.953379 : Epoch  4, Batch   1599, Loss  0.866754, Average Loss  0.869777, Time  0.239788
2021-09-16 09:05:37.544463 : Epoch  4, Batch   1600, Loss  0.854918, Average Loss  0.869664, Time  0.240865
2021-09-16 09:05:40.150415 : Epoch  4, Batch   1601, Loss  0.865396, Average Loss  0.869727, Time  0.240651
2021-09-16 09:05:42.742835 : Epoch  4, Batch   1602, Loss  0.882680, Average Loss  0.869774, Time  0.242672
2021-09-16 09:05:45.344771 : Epoch  4, Batch   1603, Loss  0.881970, Average Loss  0.869900, Time  0.240750
2021-09-16 09:05:47.941143 : Epoch  4, Batch   1604, Loss  0.873676, Average Loss  0.869847, Time  0.240110
2021-09-16 09:05:50.535015 : Epoch  4, Batch   1605, Loss  0.867009, Average Loss  0.869938, Time  0.240138
2021-09-16 09:05:53.132448 : Epoch  4, Batch   1606, Loss  0.867278, Average Loss  0.869980, Time  0.240959
2021-09-16 09:05:55.733754 : Epoch  4, Batch   1607, Loss  0.847073, Average Loss  0.869842, Time  0.239899
2021-09-16 09:05:58.327426 : Epoch  4, Batch   1608, Loss  0.877580, Average Loss  0.869963, Time  0.240942
2021-09-16 09:06:00.917876 : Epoch  4, Batch   1609, Loss  0.865824, Average Loss  0.869958, Time  0.240742
2021-09-16 09:06:03.508006 : Epoch  4, Batch   1610, Loss  0.856471, Average Loss  0.869948, Time  0.241390
2021-09-16 09:06:06.124029 : Epoch  4, Batch   1611, Loss  0.863164, Average Loss  0.869958, Time  0.243648
2021-09-16 09:06:08.725422 : Epoch  4, Batch   1612, Loss  0.837646, Average Loss  0.869761, Time  0.240088
2021-09-16 09:06:11.320965 : Epoch  4, Batch   1613, Loss  0.885861, Average Loss  0.869841, Time  0.239980
2021-09-16 09:06:13.917466 : Epoch  4, Batch   1614, Loss  0.877625, Average Loss  0.869965, Time  0.240529
2021-09-16 09:06:16.515362 : Epoch  4, Batch   1615, Loss  0.872417, Average Loss  0.870077, Time  0.240113
2021-09-16 09:06:19.106761 : Epoch  4, Batch   1616, Loss  0.861534, Average Loss  0.870060, Time  0.240978
2021-09-16 09:06:21.705168 : Epoch  4, Batch   1617, Loss  0.862087, Average Loss  0.869986, Time  0.240958
2021-09-16 09:06:24.315028 : Epoch  4, Batch   1618, Loss  0.870544, Average Loss  0.869990, Time  0.240003
2021-09-16 09:06:26.912636 : Epoch  4, Batch   1619, Loss  0.878525, Average Loss  0.870056, Time  0.240794
2021-09-16 09:06:29.521928 : Epoch  4, Batch   1620, Loss  0.882743, Average Loss  0.870094, Time  0.240257
2021-09-16 09:06:32.133293 : Epoch  4, Batch   1621, Loss  0.894433, Average Loss  0.870229, Time  0.241822
2021-09-16 09:06:34.741826 : Epoch  4, Batch   1622, Loss  0.865775, Average Loss  0.870018, Time  0.243055
2021-09-16 09:06:37.340372 : Epoch  4, Batch   1623, Loss  0.866945, Average Loss  0.870117, Time  0.240222
2021-09-16 09:06:39.951039 : Epoch  4, Batch   1624, Loss  0.865493, Average Loss  0.870021, Time  0.240746
2021-09-16 09:06:42.540979 : Epoch  4, Batch   1625, Loss  0.862942, Average Loss  0.870009, Time  0.239746
2021-09-16 09:06:45.143128 : Epoch  4, Batch   1626, Loss  0.888998, Average Loss  0.870108, Time  0.240070
2021-09-16 09:06:47.741870 : Epoch  4, Batch   1627, Loss  0.870853, Average Loss  0.870065, Time  0.240186
2021-09-16 09:06:50.334865 : Epoch  4, Batch   1628, Loss  0.849237, Average Loss  0.869955, Time  0.241074
2021-09-16 09:06:52.944948 : Epoch  4, Batch   1629, Loss  0.862824, Average Loss  0.869934, Time  0.240147
2021-09-16 09:06:55.537649 : Epoch  4, Batch   1630, Loss  0.885082, Average Loss  0.869921, Time  0.240404
2021-09-16 09:06:58.141920 : Epoch  4, Batch   1631, Loss  0.888413, Average Loss  0.869943, Time  0.241045
2021-09-16 09:07:00.748029 : Epoch  4, Batch   1632, Loss  0.863867, Average Loss  0.869952, Time  0.241426
2021-09-16 09:09:30.536907 : CheckPoint: Validation Loss  0.00029780, Best Loss  0.00029295
2021-09-16 09:09:33.566038 : Epoch  6, Batch   1721, Loss  0.834807, Average Loss  0.868000, Time  0.267842
2021-09-16 09:09:36.591057 : Epoch  6, Batch   1722, Loss  0.861870, Average Loss  0.867999, Time  0.266213
2021-09-16 09:09:39.566828 : Epoch  6, Batch   1723, Loss  0.881506, Average Loss  0.868103, Time  0.273006
2021-09-16 09:09:42.572534 : Epoch  6, Batch   1724, Loss  0.864839, Average Loss  0.868025, Time  0.266137
2021-09-16 09:09:45.563683 : Epoch  6, Batch   1725, Loss  0.888136, Average Loss  0.868139, Time  0.267031
2021-09-16 09:09:48.551277 : Epoch  6, Batch   1726, Loss  0.881148, Average Loss  0.868228, Time  0.266400
2021-09-16 09:09:51.558033 : Epoch  6, Batch   1727, Loss  0.899247, Average Loss  0.868373, Time  0.266286
2021-09-16 09:09:54.551033 : Epoch  6, Batch   1728, Loss  0.873417, Average Loss  0.868515, Time  0.265643
2021-09-16 09:09:57.528561 : Epoch  6, Batch   1729, Loss  0.868721, Average Loss  0.868462, Time  0.265337
2021-09-16 09:10:00.508076 : Epoch  6, Batch   1730, Loss  0.870387, Average Loss  0.868539, Time  0.265708
2021-09-16 09:10:03.487534 : Epoch  6, Batch   1731, Loss  0.853717, Average Loss  0.868434, Time  0.265829
2021-09-16 09:10:06.497828 : Epoch  6, Batch   1732, Loss  0.860904, Average Loss  0.868425, Time  0.266483
2021-09-16 09:10:09.485518 : Epoch  6, Batch   1733, Loss  0.869659, Average Loss  0.868367, Time  0.265587
2021-09-16 09:10:12.454986 : Epoch  6, Batch   1734, Loss  0.851731, Average Loss  0.868259, Time  0.265755
2021-09-16 09:10:15.425639 : Epoch  6, Batch   1735, Loss  0.887827, Average Loss  0.868377, Time  0.265711
2021-09-16 09:10:18.408189 : Epoch  6, Batch   1736, Loss  0.880665, Average Loss  0.868378, Time  0.265384
2021-09-16 09:10:21.415835 : Epoch  6, Batch   1737, Loss  0.881768, Average Loss  0.868428, Time  0.265454
2021-09-16 09:10:24.422168 : Epoch  6, Batch   1738, Loss  0.868671, Average Loss  0.868510, Time  0.278083
2021-09-16 09:10:27.417745 : Epoch  6, Batch   1739, Loss  0.861012, Average Loss  0.868579, Time  0.266501
2021-09-16 09:10:30.441287 : Epoch  6, Batch   1740, Loss  0.876308, Average Loss  0.868626, Time  0.266286
2021-09-16 09:10:33.462054 : Epoch  6, Batch   1741, Loss  0.852591, Average Loss  0.868622, Time  0.266020
2021-09-16 09:10:36.510816 : Epoch  6, Batch   1742, Loss  0.858931, Average Loss  0.868631, Time  0.265878
2021-09-16 09:10:39.505324 : Epoch  6, Batch   1743, Loss  0.867009, Average Loss  0.868610, Time  0.266542
2021-09-16 09:10:42.510361 : Epoch  6, Batch   1744, Loss  0.858446, Average Loss  0.868538, Time  0.266460
2021-09-16 09:10:45.498148 : Epoch  6, Batch   1745, Loss  0.878270, Average Loss  0.868605, Time  0.266010
2021-09-16 09:10:48.474827 : Epoch  6, Batch   1746, Loss  0.867444, Average Loss  0.868601, Time  0.266015
2021-09-16 09:10:51.479305 : Epoch  6, Batch   1747, Loss  0.881636, Average Loss  0.868527, Time  0.266385
2021-09-16 09:10:54.495421 : Epoch  6, Batch   1748, Loss  0.859915, Average Loss  0.868523, Time  0.266418
2021-09-16 09:10:57.505866 : Epoch  6, Batch   1749, Loss  0.888248, Average Loss  0.868740, Time  0.265732
2021-09-16 09:11:00.480246 : Epoch  6, Batch   1750, Loss  0.878243, Average Loss  0.868763, Time  0.265691
2021-09-16 09:11:03.451642 : Epoch  6, Batch   1751, Loss  0.852657, Average Loss  0.868642, Time  0.265002
2021-09-16 09:11:04.371753 : CheckPoint: Validation Loss  0.00029817, Best Loss  0.00029226
2021-09-16 09:11:06.428570 : Epoch  6, Batch   1752, Loss  0.851397, Average Loss  0.868591, Time  0.265597
2021-09-16 09:11:06.976056 : Epoch  4, Batch   1633, Loss  0.866412, Average Loss  0.869970, Time  0.242453
2021-09-16 09:11:09.441221 : Epoch  6, Batch   1753, Loss  0.869971, Average Loss  0.868688, Time  0.275045
2021-09-16 09:11:09.581338 : Epoch  4, Batch   1634, Loss  0.865098, Average Loss  0.869965, Time  0.241222
2021-09-16 09:11:12.170140 : Epoch  4, Batch   1635, Loss  0.861430, Average Loss  0.869911, Time  0.240309
2021-09-16 09:11:12.449540 : Epoch  6, Batch   1754, Loss  0.887748, Average Loss  0.868737, Time  0.265589
2021-09-16 09:11:14.775386 : Epoch  4, Batch   1636, Loss  0.874454, Average Loss  0.869949, Time  0.240036
2021-09-16 09:11:15.417513 : Epoch  6, Batch   1755, Loss  0.878255, Average Loss  0.868648, Time  0.265431
2021-09-16 09:11:17.374021 : Epoch  4, Batch   1637, Loss  0.864829, Average Loss  0.869936, Time  0.240677
2021-09-16 09:11:18.394203 : Epoch  6, Batch   1756, Loss  0.875483, Average Loss  0.868651, Time  0.265157
2021-09-16 09:11:19.985012 : Epoch  4, Batch   1638, Loss  0.887870, Average Loss  0.870024, Time  0.240827
2021-09-16 09:11:21.396638 : Epoch  6, Batch   1757, Loss  0.885232, Average Loss  0.868830, Time  0.266770
2021-09-16 09:11:22.586130 : Epoch  4, Batch   1639, Loss  0.875382, Average Loss  0.870010, Time  0.240597
2021-09-16 09:11:24.369852 : Epoch  6, Batch   1758, Loss  0.876957, Average Loss  0.868832, Time  0.265494
2021-09-16 09:11:25.191643 : Epoch  4, Batch   1640, Loss  0.874844, Average Loss  0.870089, Time  0.240006
2021-09-16 09:11:27.383799 : Epoch  6, Batch   1759, Loss  0.866392, Average Loss  0.868834, Time  0.265176
2021-09-16 09:11:27.787097 : Epoch  4, Batch   1641, Loss  0.896655, Average Loss  0.870246, Time  0.241496
2021-09-16 09:11:30.361608 : Epoch  6, Batch   1760, Loss  0.860686, Average Loss  0.868818, Time  0.265038
2021-09-16 09:11:30.366939 : Epoch  4, Batch   1642, Loss  0.871657, Average Loss  0.870307, Time  0.240253
2021-09-16 09:11:32.984866 : Epoch  4, Batch   1643, Loss  0.844704, Average Loss  0.870193, Time  0.239923
2021-09-16 09:11:33.337248 : Epoch  6, Batch   1761, Loss  0.879695, Average Loss  0.868930, Time  0.265734
2021-09-16 09:11:35.584404 : Epoch  4, Batch   1644, Loss  0.857913, Average Loss  0.870035, Time  0.240346
2021-09-16 09:11:36.336502 : Epoch  6, Batch   1762, Loss  0.860289, Average Loss  0.868891, Time  0.266450
2021-09-16 09:11:38.190552 : Epoch  4, Batch   1645, Loss  0.860745, Average Loss  0.869928, Time  0.240335
2021-09-16 09:11:39.328944 : Epoch  6, Batch   1763, Loss  0.876999, Average Loss  0.868890, Time  0.267753
2021-09-16 09:11:40.792685 : Epoch  4, Batch   1646, Loss  0.850333, Average Loss  0.870052, Time  0.241292
2021-09-16 09:11:42.310260 : Epoch  6, Batch   1764, Loss  0.871845, Average Loss  0.868939, Time  0.266841
2021-09-16 09:11:43.389053 : Epoch  4, Batch   1647, Loss  0.854046, Average Loss  0.869899, Time  0.240916
2021-09-16 09:11:45.308539 : Epoch  6, Batch   1765, Loss  0.864760, Average Loss  0.868918, Time  0.266051
2021-09-16 09:11:45.988664 : Epoch  4, Batch   1648, Loss  0.875033, Average Loss  0.869926, Time  0.240232
2021-09-16 09:11:48.282006 : Epoch  6, Batch   1766, Loss  0.870477, Average Loss  0.868917, Time  0.266219
2021-09-16 09:11:48.588890 : Epoch  4, Batch   1649, Loss  0.875128, Average Loss  0.869903, Time  0.240288
2021-09-16 09:11:51.167407 : Epoch  4, Batch   1650, Loss  0.877967, Average Loss  0.869853, Time  0.240007
2021-09-16 09:11:51.299356 : Epoch  6, Batch   1767, Loss  0.874733, Average Loss  0.868858, Time  0.265471
2021-09-16 09:11:53.759860 : Epoch  4, Batch   1651, Loss  0.860623, Average Loss  0.869816, Time  0.239528
2021-09-16 09:11:54.311369 : Epoch  6, Batch   1768, Loss  0.859413, Average Loss  0.868810, Time  0.266018
2021-09-16 09:11:56.365032 : Epoch  4, Batch   1652, Loss  0.873144, Average Loss  0.869855, Time  0.240236
2021-09-16 09:11:57.341822 : Epoch  6, Batch   1769, Loss  0.871120, Average Loss  0.868839, Time  0.278797
2021-09-16 09:11:58.970394 : Epoch  4, Batch   1653, Loss  0.898925, Average Loss  0.869971, Time  0.240782
2021-09-16 09:12:00.327968 : Epoch  6, Batch   1770, Loss  0.872218, Average Loss  0.868846, Time  0.266789
2021-09-16 09:12:01.567848 : Epoch  4, Batch   1654, Loss  0.876182, Average Loss  0.870104, Time  0.240297
2021-09-16 09:12:03.347220 : Epoch  6, Batch   1771, Loss  0.847777, Average Loss  0.868765, Time  0.265595
2021-09-16 09:12:04.170146 : Epoch  4, Batch   1655, Loss  0.864603, Average Loss  0.870080, Time  0.243804
2021-09-16 09:12:06.357239 : Epoch  6, Batch   1772, Loss  0.892381, Average Loss  0.869024, Time  0.264653
2021-09-16 09:12:06.770144 : Epoch  4, Batch   1656, Loss  0.880535, Average Loss  0.870098, Time  0.240946
2021-09-16 09:12:09.324840 : Epoch  6, Batch   1773, Loss  0.862927, Average Loss  0.869039, Time  0.265345
2021-09-16 09:12:09.347955 : Epoch  4, Batch   1657, Loss  0.878605, Average Loss  0.870204, Time  0.240183
2021-09-16 09:12:11.950578 : Epoch  4, Batch   1658, Loss  0.871847, Average Loss  0.870252, Time  0.240393
2021-09-16 09:12:12.307863 : Epoch  6, Batch   1774, Loss  0.881739, Average Loss  0.869088, Time  0.266205
2021-09-16 09:12:14.552869 : Epoch  4, Batch   1659, Loss  0.862608, Average Loss  0.870250, Time  0.240507
2021-09-16 09:12:15.283938 : Epoch  6, Batch   1775, Loss  0.866401, Average Loss  0.869032, Time  0.264908
2021-09-16 09:12:17.143618 : Epoch  4, Batch   1660, Loss  0.892092, Average Loss  0.870357, Time  0.239819
2021-09-16 09:12:18.274931 : Epoch  6, Batch   1776, Loss  0.876637, Average Loss  0.869047, Time  0.265206
2021-09-16 09:12:19.738410 : Epoch  4, Batch   1661, Loss  0.860203, Average Loss  0.870215, Time  0.239780
2021-09-16 09:12:21.259180 : Epoch  6, Batch   1777, Loss  0.851335, Average Loss  0.868933, Time  0.265699
2021-09-16 09:12:22.344384 : Epoch  4, Batch   1662, Loss  0.879465, Average Loss  0.870219, Time  0.241049
2021-09-16 09:12:24.269807 : Epoch  6, Batch   1778, Loss  0.868740, Average Loss  0.868919, Time  0.265288
2021-09-16 09:12:24.948064 : Epoch  4, Batch   1663, Loss  0.865716, Average Loss  0.870200, Time  0.240681
2021-09-16 09:12:27.267812 : Epoch  6, Batch   1779, Loss  0.873522, Average Loss  0.868837, Time  0.264780
2021-09-16 09:12:27.550977 : Epoch  4, Batch   1664, Loss  0.878408, Average Loss  0.870282, Time  0.240986
2021-09-16 09:12:30.180099 : Epoch  4, Batch   1665, Loss  0.873880, Average Loss  0.870315, Time  0.239922
2021-09-16 09:12:30.241447 : Epoch  6, Batch   1780, Loss  0.871156, Average Loss  0.868814, Time  0.265637
2021-09-16 09:12:32.779039 : Epoch  4, Batch   1666, Loss  0.861986, Average Loss  0.870213, Time  0.240031
2021-09-16 09:12:33.233114 : Epoch  6, Batch   1781, Loss  0.848552, Average Loss  0.868742, Time  0.267305
2021-09-16 09:12:35.380948 : Epoch  4, Batch   1667, Loss  0.874103, Average Loss  0.870238, Time  0.240122
2021-09-16 09:12:36.225469 : Epoch  6, Batch   1782, Loss  0.857998, Average Loss  0.868785, Time  0.265336
2021-09-16 09:12:37.964913 : Epoch  4, Batch   1668, Loss  0.849096, Average Loss  0.870157, Time  0.240476
2021-09-16 09:12:39.220451 : Epoch  6, Batch   1783, Loss  0.857444, Average Loss  0.868869, Time  0.265002
2021-09-16 09:12:40.580080 : Epoch  4, Batch   1669, Loss  0.861610, Average Loss  0.870085, Time  0.241354
2021-09-16 09:12:42.202534 : Epoch  6, Batch   1784, Loss  0.881045, Average Loss  0.869003, Time  0.275301
2021-09-16 09:12:43.181055 : Epoch  4, Batch   1670, Loss  0.878937, Average Loss  0.870240, Time  0.240249
2021-09-16 09:12:45.200190 : Epoch  6, Batch   1785, Loss  0.849165, Average Loss  0.868922, Time  0.265638
2021-09-16 09:12:45.774040 : Epoch  4, Batch   1671, Loss  0.862023, Average Loss  0.870262, Time  0.240834
2021-09-16 09:12:48.212155 : Epoch  6, Batch   1786, Loss  0.862333, Average Loss  0.868914, Time  0.266742
2021-09-16 09:12:48.383602 : Epoch  4, Batch   1672, Loss  0.879932, Average Loss  0.870387, Time  0.241476
2021-09-16 09:12:50.971577 : Epoch  4, Batch   1673, Loss  0.874881, Average Loss  0.870452, Time  0.240863
2021-09-16 09:12:51.191264 : Epoch  6, Batch   1787, Loss  0.858475, Average Loss  0.868924, Time  0.265712
2021-09-16 09:12:53.567085 : Epoch  4, Batch   1674, Loss  0.874257, Average Loss  0.870542, Time  0.240441
2021-09-16 09:12:54.187941 : Epoch  6, Batch   1788, Loss  0.856286, Average Loss  0.868833, Time  0.265419
2021-09-16 09:12:56.171971 : Epoch  4, Batch   1675, Loss  0.871983, Average Loss  0.870472, Time  0.241182
2021-09-16 09:12:57.168524 : Epoch  6, Batch   1789, Loss  0.880067, Average Loss  0.868825, Time  0.266276
2021-09-16 09:12:58.771527 : Epoch  4, Batch   1676, Loss  0.871340, Average Loss  0.870489, Time  0.240303
2021-09-16 09:13:00.143605 : Epoch  6, Batch   1790, Loss  0.892180, Average Loss  0.868931, Time  0.265383
2021-09-16 09:13:01.363444 : Epoch  4, Batch   1677, Loss  0.863887, Average Loss  0.870472, Time  0.241018
2021-09-16 09:13:03.123539 : Epoch  6, Batch   1791, Loss  0.853342, Average Loss  0.868931, Time  0.265857
2021-09-16 09:13:03.964881 : Epoch  4, Batch   1678, Loss  0.871362, Average Loss  0.870437, Time  0.240449
2021-09-16 09:13:06.121747 : Epoch  6, Batch   1792, Loss  0.856548, Average Loss  0.868893, Time  0.265425
2021-09-16 09:13:06.553120 : Epoch  4, Batch   1679, Loss  0.870182, Average Loss  0.870406, Time  0.242258
2021-09-16 09:13:09.100157 : Epoch  6, Batch   1793, Loss  0.861382, Average Loss  0.868915, Time  0.265427
2021-09-16 09:13:09.143038 : Epoch  4, Batch   1680, Loss  0.863025, Average Loss  0.870358, Time  0.241121
2021-09-16 09:13:11.734827 : Epoch  4, Batch   1681, Loss  0.847935, Average Loss  0.870254, Time  0.240125
2021-09-16 09:13:12.030959 : Epoch  6, Batch   1794, Loss  0.874577, Average Loss  0.869022, Time  0.266394
2021-09-16 09:13:14.342419 : Epoch  4, Batch   1682, Loss  0.854124, Average Loss  0.870176, Time  0.240686
2021-09-16 09:13:15.007875 : Epoch  6, Batch   1795, Loss  0.872115, Average Loss  0.869029, Time  0.267968
2021-09-16 09:13:16.943147 : Epoch  4, Batch   1683, Loss  0.855220, Average Loss  0.870079, Time  0.240169
2021-09-16 09:13:17.986226 : Epoch  6, Batch   1796, Loss  0.869696, Average Loss  0.868966, Time  0.265164
2021-09-16 09:13:19.541345 : Epoch  4, Batch   1684, Loss  0.878253, Average Loss  0.870172, Time  0.241225
2021-09-16 09:13:20.998609 : Epoch  6, Batch   1797, Loss  0.881131, Average Loss  0.869027, Time  0.266125
2021-09-16 09:13:22.139860 : Epoch  4, Batch   1685, Loss  0.884720, Average Loss  0.870150, Time  0.241537
2021-09-16 09:13:24.027417 : Epoch  6, Batch   1798, Loss  0.876913, Average Loss  0.869045, Time  0.265126
2021-09-16 09:13:24.747869 : Epoch  4, Batch   1686, Loss  0.873726, Average Loss  0.870136, Time  0.239956
2021-09-16 09:13:26.976959 : Epoch  6, Batch   1799, Loss  0.839045, Average Loss  0.868948, Time  0.274542
2021-09-16 09:13:27.339399 : Epoch  4, Batch   1687, Loss  0.866326, Average Loss  0.870111, Time  0.240078
2021-09-16 09:13:29.926764 : Epoch  4, Batch   1688, Loss  0.877086, Average Loss  0.870094, Time  0.241614
2021-09-16 09:13:29.973494 : Epoch  6, Batch   1800, Loss  0.863212, Average Loss  0.868945, Time  0.266399
2021-09-16 09:13:32.529268 : Epoch  4, Batch   1689, Loss  0.882190, Average Loss  0.870128, Time  0.240967
2021-09-16 09:13:32.963765 : Epoch  6, Batch   1801, Loss  0.892572, Average Loss  0.869116, Time  0.265411
2021-09-16 09:13:35.124650 : Epoch  4, Batch   1690, Loss  0.866976, Average Loss  0.870117, Time  0.243873
2021-09-16 09:13:35.898641 : Epoch  6, Batch   1802, Loss  0.871775, Average Loss  0.869141, Time  0.265092
2021-09-16 09:13:37.716431 : Epoch  4, Batch   1691, Loss  0.864267, Average Loss  0.870191, Time  0.240711
2021-09-16 09:13:38.889170 : Epoch  6, Batch   1803, Loss  0.862324, Average Loss  0.869178, Time  0.266498
2021-09-16 09:13:40.300190 : Epoch  4, Batch   1692, Loss  0.853576, Average Loss  0.870232, Time  0.240663
2021-09-16 09:13:41.894443 : Epoch  6, Batch   1804, Loss  0.881840, Average Loss  0.869216, Time  0.265895
2021-09-16 09:13:42.895654 : Epoch  4, Batch   1693, Loss  0.895997, Average Loss  0.870399, Time  0.240438
2021-09-16 09:13:44.866300 : Epoch  6, Batch   1805, Loss  0.863349, Average Loss  0.869096, Time  0.266874
2021-09-16 09:13:45.492429 : Epoch  4, Batch   1694, Loss  0.856542, Average Loss  0.870247, Time  0.239843
2021-09-16 09:13:47.873611 : Epoch  6, Batch   1806, Loss  0.881377, Average Loss  0.869207, Time  0.266339
2021-09-16 09:13:48.089319 : Epoch  4, Batch   1695, Loss  0.874827, Average Loss  0.870231, Time  0.241072
2021-09-16 09:13:50.664678 : Epoch  4, Batch   1696, Loss  0.862571, Average Loss  0.870183, Time  0.240423
2021-09-16 09:13:50.847957 : Epoch  6, Batch   1807, Loss  0.886068, Average Loss  0.869320, Time  0.265880
2021-09-16 09:13:53.263420 : Epoch  4, Batch   1697, Loss  0.883074, Average Loss  0.870186, Time  0.241708
2021-09-16 09:13:53.800094 : Epoch  6, Batch   1808, Loss  0.892361, Average Loss  0.869519, Time  0.265469
2021-09-16 09:13:55.854608 : Epoch  4, Batch   1698, Loss  0.882698, Average Loss  0.870235, Time  0.240781
2021-09-16 09:13:56.770467 : Epoch  6, Batch   1809, Loss  0.846316, Average Loss  0.869399, Time  0.264405
2021-09-16 09:13:58.458106 : Epoch  4, Batch   1699, Loss  0.856193, Average Loss  0.870210, Time  0.240489
2021-09-16 09:13:59.752389 : Epoch  6, Batch   1810, Loss  0.869481, Average Loss  0.869461, Time  0.266351
2021-09-16 09:14:01.053563 : Epoch  4, Batch   1700, Loss  0.875142, Average Loss  0.870162, Time  0.242326
2021-09-16 09:14:02.761007 : Epoch  6, Batch   1811, Loss  0.894566, Average Loss  0.869612, Time  0.266493
2021-09-16 09:14:03.651844 : Epoch  4, Batch   1701, Loss  0.871614, Average Loss  0.870237, Time  0.243185
2021-09-16 09:14:05.786103 : Epoch  6, Batch   1812, Loss  0.871071, Average Loss  0.869621, Time  0.265667
2021-09-16 09:14:06.254456 : Epoch  4, Batch   1702, Loss  0.885627, Average Loss  0.870197, Time  0.240880
2021-09-16 09:14:08.769705 : Epoch  6, Batch   1813, Loss  0.867674, Average Loss  0.869596, Time  0.264989
2021-09-16 09:14:08.839094 : Epoch  4, Batch   1703, Loss  0.844246, Average Loss  0.870074, Time  0.241349
2021-09-16 09:14:11.428853 : Epoch  4, Batch   1704, Loss  0.854609, Average Loss  0.869956, Time  0.241362
2021-09-16 09:14:11.762016 : Epoch  6, Batch   1814, Loss  0.884986, Average Loss  0.869642, Time  0.275251
2021-09-16 09:14:14.020283 : Epoch  4, Batch   1705, Loss  0.861369, Average Loss  0.870005, Time  0.239940
2021-09-16 09:14:14.715819 : Epoch  6, Batch   1815, Loss  0.874320, Average Loss  0.869713, Time  0.265410
2021-09-16 09:14:16.628429 : Epoch  4, Batch   1706, Loss  0.848822, Average Loss  0.869851, Time  0.240395
2021-09-16 09:14:17.709651 : Epoch  6, Batch   1816, Loss  0.888117, Average Loss  0.869776, Time  0.266274
2021-09-16 09:14:19.218070 : Epoch  4, Batch   1707, Loss  0.847019, Average Loss  0.869695, Time  0.240259
2021-09-16 09:14:20.717196 : Epoch  6, Batch   1817, Loss  0.851687, Average Loss  0.869778, Time  0.265236
2021-09-16 09:14:21.819585 : Epoch  4, Batch   1708, Loss  0.887535, Average Loss  0.869798, Time  0.241134
2021-09-16 09:14:23.684369 : Epoch  6, Batch   1818, Loss  0.870433, Average Loss  0.869721, Time  0.264560
2021-09-16 09:14:24.413005 : Epoch  4, Batch   1709, Loss  0.866959, Average Loss  0.869731, Time  0.240373
2021-09-16 09:14:26.660397 : Epoch  6, Batch   1819, Loss  0.891598, Average Loss  0.869763, Time  0.266664
2021-09-16 09:14:27.012868 : Epoch  4, Batch   1710, Loss  0.853927, Average Loss  0.869721, Time  0.240628
2021-09-16 09:14:29.596153 : Epoch  4, Batch   1711, Loss  0.883523, Average Loss  0.869919, Time  0.241035
2021-09-16 09:14:29.639155 : Epoch  6, Batch   1820, Loss  0.893924, Average Loss  0.869953, Time  0.266251
2021-09-16 09:14:32.191039 : Epoch  4, Batch   1712, Loss  0.856019, Average Loss  0.869908, Time  0.240670
2021-09-16 09:14:34.801429 : Epoch  4, Batch   1713, Loss  0.866757, Average Loss  0.869781, Time  0.247777
2021-09-16 09:14:37.390048 : Epoch  4, Batch   1714, Loss  0.882030, Average Loss  0.869925, Time  0.240889
2021-09-16 09:14:39.984731 : Epoch  4, Batch   1715, Loss  0.884088, Average Loss  0.869950, Time  0.241754
2021-09-16 09:14:42.585181 : Epoch  4, Batch   1716, Loss  0.859354, Average Loss  0.869840, Time  0.240142
2021-09-16 09:14:45.175662 : Epoch  4, Batch   1717, Loss  0.843527, Average Loss  0.869754, Time  0.240088
2021-09-16 09:14:47.774816 : Epoch  4, Batch   1718, Loss  0.871898, Average Loss  0.869821, Time  0.240104
2021-09-16 09:14:50.361281 : Epoch  4, Batch   1719, Loss  0.866109, Average Loss  0.869801, Time  0.240503
2021-09-16 09:14:52.961010 : Epoch  4, Batch   1720, Loss  0.856140, Average Loss  0.869719, Time  0.241642
2021-09-16 09:14:55.560032 : Epoch  4, Batch   1721, Loss  0.852025, Average Loss  0.869590, Time  0.241048
2021-09-16 09:14:58.159736 : Epoch  4, Batch   1722, Loss  0.861463, Average Loss  0.869502, Time  0.240279
2021-09-16 09:15:00.772160 : Epoch  4, Batch   1723, Loss  0.873178, Average Loss  0.869484, Time  0.241090
2021-09-16 09:15:03.367962 : Epoch  4, Batch   1724, Loss  0.866940, Average Loss  0.869418, Time  0.240280
2021-09-16 09:15:05.972892 : Epoch  4, Batch   1725, Loss  0.878248, Average Loss  0.869391, Time  0.241786
2021-09-16 09:15:08.564921 : Epoch  4, Batch   1726, Loss  0.846561, Average Loss  0.869310, Time  0.242065
2021-09-16 09:15:11.160382 : Epoch  4, Batch   1727, Loss  0.865066, Average Loss  0.869347, Time  0.240018
2021-09-16 09:15:13.766590 : Epoch  4, Batch   1728, Loss  0.887079, Average Loss  0.869472, Time  0.241245
2021-09-16 09:15:16.361088 : Epoch  4, Batch   1729, Loss  0.887392, Average Loss  0.869490, Time  0.241137
2021-09-16 09:15:18.959011 : Epoch  4, Batch   1730, Loss  0.874943, Average Loss  0.869460, Time  0.241163
2021-09-16 09:15:21.560972 : Epoch  4, Batch   1731, Loss  0.889819, Average Loss  0.869594, Time  0.241199
2021-09-16 09:15:24.156625 : Epoch  4, Batch   1732, Loss  0.876393, Average Loss  0.869685, Time  0.241026
2021-09-16 09:19:10.653997 : CheckPoint: Validation Loss  0.00030269, Best Loss  0.00029295
2021-09-16 09:19:13.645481 : Epoch  6, Batch   1821, Loss  0.894605, Average Loss  0.869979, Time  0.267409
2021-09-16 09:19:16.643102 : Epoch  6, Batch   1822, Loss  0.849820, Average Loss  0.869887, Time  0.265935
2021-09-16 09:19:19.634662 : Epoch  6, Batch   1823, Loss  0.858056, Average Loss  0.869791, Time  0.266129
2021-09-16 09:19:22.610652 : Epoch  6, Batch   1824, Loss  0.874661, Average Loss  0.869884, Time  0.265851
2021-09-16 09:19:25.586651 : Epoch  6, Batch   1825, Loss  0.878082, Average Loss  0.869876, Time  0.265580
2021-09-16 09:19:27.671801 : CheckPoint: Validation Loss  0.00030902, Best Loss  0.00029226
2021-09-16 09:19:28.598628 : Epoch  6, Batch   1826, Loss  0.854998, Average Loss  0.869838, Time  0.266243
2021-09-16 09:19:30.278017 : Epoch  4, Batch   1733, Loss  0.857736, Average Loss  0.869656, Time  0.242464
2021-09-16 09:19:31.611000 : Epoch  6, Batch   1827, Loss  0.867928, Average Loss  0.869852, Time  0.279350
2021-09-16 09:19:32.880929 : Epoch  4, Batch   1734, Loss  0.885513, Average Loss  0.869773, Time  0.240743
2021-09-16 09:19:34.579129 : Epoch  6, Batch   1828, Loss  0.873787, Average Loss  0.869860, Time  0.265180
2021-09-16 09:19:35.479720 : Epoch  4, Batch   1735, Loss  0.860899, Average Loss  0.869630, Time  0.240226
2021-09-16 09:19:37.556718 : Epoch  6, Batch   1829, Loss  0.870117, Average Loss  0.869885, Time  0.265492
2021-09-16 09:19:38.075385 : Epoch  4, Batch   1736, Loss  0.868995, Average Loss  0.869701, Time  0.241896
2021-09-16 09:19:40.539833 : Epoch  6, Batch   1830, Loss  0.871125, Average Loss  0.869752, Time  0.267069
2021-09-16 09:19:40.662577 : Epoch  4, Batch   1737, Loss  0.858706, Average Loss  0.869634, Time  0.240139
2021-09-16 09:19:43.251647 : Epoch  4, Batch   1738, Loss  0.864665, Average Loss  0.869642, Time  0.241168
2021-09-16 09:19:43.525866 : Epoch  6, Batch   1831, Loss  0.858037, Average Loss  0.869637, Time  0.264996
2021-09-16 09:19:45.845626 : Epoch  4, Batch   1739, Loss  0.864775, Average Loss  0.869679, Time  0.240494
2021-09-16 09:19:46.527906 : Epoch  6, Batch   1832, Loss  0.863761, Average Loss  0.869583, Time  0.265132
2021-09-16 09:19:48.439423 : Epoch  4, Batch   1740, Loss  0.860547, Average Loss  0.869652, Time  0.240583
2021-09-16 09:19:49.502174 : Epoch  6, Batch   1833, Loss  0.868019, Average Loss  0.869516, Time  0.265040
2021-09-16 09:19:51.034062 : Epoch  4, Batch   1741, Loss  0.858102, Average Loss  0.869571, Time  0.240251
2021-09-16 09:19:52.484573 : Epoch  6, Batch   1834, Loss  0.869797, Average Loss  0.869438, Time  0.266024
2021-09-16 09:19:53.640126 : Epoch  4, Batch   1742, Loss  0.872598, Average Loss  0.869612, Time  0.240579
2021-09-16 09:19:55.479776 : Epoch  6, Batch   1835, Loss  0.880727, Average Loss  0.869483, Time  0.265254
2021-09-16 09:19:56.237740 : Epoch  4, Batch   1743, Loss  0.874529, Average Loss  0.869677, Time  0.240226
2021-09-16 09:19:58.459763 : Epoch  6, Batch   1836, Loss  0.868686, Average Loss  0.869557, Time  0.265797
2021-09-16 09:19:58.822871 : Epoch  4, Batch   1744, Loss  0.878875, Average Loss  0.869653, Time  0.241444
2021-09-16 09:20:01.407205 : Epoch  4, Batch   1745, Loss  0.868614, Average Loss  0.869503, Time  0.240921
2021-09-16 09:20:01.420043 : Epoch  6, Batch   1837, Loss  0.865541, Average Loss  0.869594, Time  0.266466
2021-09-16 09:20:03.996043 : Epoch  4, Batch   1746, Loss  0.869237, Average Loss  0.869576, Time  0.241095
2021-09-16 09:20:04.423366 : Epoch  6, Batch   1838, Loss  0.863165, Average Loss  0.869571, Time  0.265604
2021-09-16 09:20:06.601667 : Epoch  4, Batch   1747, Loss  0.888717, Average Loss  0.869540, Time  0.240038
2021-09-16 09:20:07.418420 : Epoch  6, Batch   1839, Loss  0.871964, Average Loss  0.869545, Time  0.265029
2021-09-16 09:20:09.192019 : Epoch  4, Batch   1748, Loss  0.867058, Average Loss  0.869513, Time  0.240371
2021-09-16 09:20:10.377839 : Epoch  6, Batch   1840, Loss  0.853657, Average Loss  0.869461, Time  0.266871
2021-09-16 09:20:11.788425 : Epoch  4, Batch   1749, Loss  0.895172, Average Loss  0.869709, Time  0.239972
2021-09-16 09:20:13.457775 : Epoch  6, Batch   1841, Loss  0.878080, Average Loss  0.869664, Time  0.267256
2021-09-16 09:20:14.386887 : Epoch  4, Batch   1750, Loss  0.873461, Average Loss  0.869804, Time  0.243716
2021-09-16 09:20:16.443683 : Epoch  6, Batch   1842, Loss  0.877640, Average Loss  0.869692, Time  0.272070
2021-09-16 09:20:16.986986 : Epoch  4, Batch   1751, Loss  0.872427, Average Loss  0.869894, Time  0.241099
2021-09-16 09:20:19.425671 : Epoch  6, Batch   1843, Loss  0.868148, Average Loss  0.869667, Time  0.267328
2021-09-16 09:20:19.586408 : Epoch  4, Batch   1752, Loss  0.860483, Average Loss  0.869741, Time  0.244043
2021-09-16 09:20:22.163607 : Epoch  4, Batch   1753, Loss  0.866971, Average Loss  0.869662, Time  0.239897
2021-09-16 09:20:22.441830 : Epoch  6, Batch   1844, Loss  0.864301, Average Loss  0.869705, Time  0.266492
2021-09-16 09:20:24.758428 : Epoch  4, Batch   1754, Loss  0.865710, Average Loss  0.869637, Time  0.244823
2021-09-16 09:20:25.431817 : Epoch  6, Batch   1845, Loss  0.881324, Average Loss  0.869830, Time  0.266178
2021-09-16 09:20:27.353383 : Epoch  4, Batch   1755, Loss  0.857023, Average Loss  0.869453, Time  0.240638
2021-09-16 09:20:28.399234 : Epoch  6, Batch   1846, Loss  0.899457, Average Loss  0.870033, Time  0.265115
2021-09-16 09:20:29.939431 : Epoch  4, Batch   1756, Loss  0.867636, Average Loss  0.869379, Time  0.240282
2021-09-16 09:20:31.387775 : Epoch  6, Batch   1847, Loss  0.868690, Average Loss  0.870045, Time  0.265926
2021-09-16 09:20:32.536688 : Epoch  4, Batch   1757, Loss  0.861219, Average Loss  0.869438, Time  0.240295
2021-09-16 09:20:34.392223 : Epoch  6, Batch   1848, Loss  0.846081, Average Loss  0.870034, Time  0.265321
2021-09-16 09:20:35.130646 : Epoch  4, Batch   1758, Loss  0.852279, Average Loss  0.869463, Time  0.239846
2021-09-16 09:20:37.373822 : Epoch  6, Batch   1849, Loss  0.873388, Average Loss  0.870005, Time  0.265332
2021-09-16 09:20:37.727383 : Epoch  4, Batch   1759, Loss  0.873565, Average Loss  0.869362, Time  0.240335
2021-09-16 09:20:40.319114 : Epoch  4, Batch   1760, Loss  0.868879, Average Loss  0.869374, Time  0.241328
2021-09-16 09:20:40.357805 : Epoch  6, Batch   1850, Loss  0.860271, Average Loss  0.869899, Time  0.265305
2021-09-16 09:20:42.917060 : Epoch  4, Batch   1761, Loss  0.851083, Average Loss  0.869228, Time  0.240663
2021-09-16 09:20:43.332780 : Epoch  6, Batch   1851, Loss  0.859752, Average Loss  0.869823, Time  0.264641
2021-09-16 09:20:45.521719 : Epoch  4, Batch   1762, Loss  0.884180, Average Loss  0.869171, Time  0.241207
2021-09-16 09:20:46.327566 : Epoch  6, Batch   1852, Loss  0.883426, Average Loss  0.869911, Time  0.266511
2021-09-16 09:20:48.113795 : Epoch  4, Batch   1763, Loss  0.865708, Average Loss  0.869106, Time  0.240649
2021-09-16 09:20:49.347697 : Epoch  6, Batch   1853, Loss  0.854575, Average Loss  0.869810, Time  0.265755
2021-09-16 09:20:50.711679 : Epoch  4, Batch   1764, Loss  0.884167, Average Loss  0.869256, Time  0.240254
2021-09-16 09:20:52.362839 : Epoch  6, Batch   1854, Loss  0.853448, Average Loss  0.869629, Time  0.264841
2021-09-16 09:20:53.316034 : Epoch  4, Batch   1765, Loss  0.868886, Average Loss  0.869292, Time  0.241337
2021-09-16 09:20:55.352259 : Epoch  6, Batch   1855, Loss  0.881488, Average Loss  0.869730, Time  0.265654
2021-09-16 09:20:55.912184 : Epoch  4, Batch   1766, Loss  0.874472, Average Loss  0.869387, Time  0.240206
2021-09-16 09:20:58.326916 : Epoch  6, Batch   1856, Loss  0.870606, Average Loss  0.869822, Time  0.264463
2021-09-16 09:20:58.358269 : Saving Model after 6-th Epoch.
2021-09-16 09:20:58.515219 : Epoch  4, Batch   1767, Loss  0.867419, Average Loss  0.869402, Time  0.240661
2021-09-16 09:20:59.275984 : Epoch Finished.
2021-09-16 09:21:01.099116 : Epoch  4, Batch   1768, Loss  0.871102, Average Loss  0.869409, Time  0.240390
2021-09-16 09:21:03.709099 : Epoch  4, Batch   1769, Loss  0.864389, Average Loss  0.869386, Time  0.240087
2021-09-16 09:21:06.306540 : Epoch  4, Batch   1770, Loss  0.856084, Average Loss  0.869320, Time  0.240793
2021-09-16 09:21:07.270704 : Batch Shuffled
2021-09-16 09:21:08.902898 : Epoch  4, Batch   1771, Loss  0.887293, Average Loss  0.869372, Time  0.240242
2021-09-16 09:21:10.289764 : Epoch  7, Batch      1, Loss  0.856893, Average Loss  0.869724, Time  0.279078
2021-09-16 09:21:11.506376 : Epoch  4, Batch   1772, Loss  0.900601, Average Loss  0.869573, Time  0.241012
2021-09-16 09:21:13.315477 : Epoch  7, Batch      2, Loss  0.876982, Average Loss  0.869744, Time  0.265827
2021-09-16 09:21:14.096505 : Epoch  4, Batch   1773, Loss  0.882205, Average Loss  0.869719, Time  0.240402
2021-09-16 09:21:16.377141 : Epoch  7, Batch      3, Loss  0.869602, Average Loss  0.869679, Time  0.265582
2021-09-16 09:21:16.690079 : Epoch  4, Batch   1774, Loss  0.876402, Average Loss  0.869868, Time  0.240094
2021-09-16 09:21:19.282790 : Epoch  4, Batch   1775, Loss  0.853854, Average Loss  0.869693, Time  0.239973
2021-09-16 09:21:19.402052 : Epoch  7, Batch      4, Loss  0.852719, Average Loss  0.869694, Time  0.267461
2021-09-16 09:21:21.883676 : Epoch  4, Batch   1776, Loss  0.870421, Average Loss  0.869625, Time  0.240020
2021-09-16 09:21:22.439874 : Epoch  7, Batch      5, Loss  0.862316, Average Loss  0.869671, Time  0.266273
2021-09-16 09:21:24.478575 : Epoch  4, Batch   1777, Loss  0.878304, Average Loss  0.869617, Time  0.239998
2021-09-16 09:21:25.490057 : Epoch  7, Batch      6, Loss  0.888069, Average Loss  0.869848, Time  0.266156
2021-09-16 09:21:27.067850 : Epoch  4, Batch   1778, Loss  0.870134, Average Loss  0.869616, Time  0.243613
2021-09-16 09:21:28.503010 : Epoch  7, Batch      7, Loss  0.864777, Average Loss  0.869951, Time  0.266369
2021-09-16 09:21:29.670077 : Epoch  4, Batch   1779, Loss  0.890841, Average Loss  0.869740, Time  0.240892
2021-09-16 09:21:31.512511 : Epoch  7, Batch      8, Loss  0.889965, Average Loss  0.870122, Time  0.266148
2021-09-16 09:21:32.282872 : Epoch  4, Batch   1780, Loss  0.873383, Average Loss  0.869703, Time  0.240143
2021-09-16 09:21:34.565490 : Epoch  7, Batch      9, Loss  0.863517, Average Loss  0.870048, Time  0.266830
2021-09-16 09:21:34.892967 : Epoch  4, Batch   1781, Loss  0.864729, Average Loss  0.869716, Time  0.241634
2021-09-16 09:21:37.497267 : Epoch  4, Batch   1782, Loss  0.854097, Average Loss  0.869625, Time  0.240058
2021-09-16 09:21:37.553684 : Epoch  7, Batch     10, Loss  0.862455, Average Loss  0.870039, Time  0.264366
2021-09-16 09:21:40.096909 : Epoch  4, Batch   1783, Loss  0.885285, Average Loss  0.869628, Time  0.241025
2021-09-16 09:21:40.597501 : Epoch  7, Batch     11, Loss  0.887219, Average Loss  0.870148, Time  0.266535
2021-09-16 09:21:42.702848 : Epoch  4, Batch   1784, Loss  0.851591, Average Loss  0.869617, Time  0.240204
2021-09-16 09:21:43.624052 : Epoch  7, Batch     12, Loss  0.871949, Average Loss  0.870067, Time  0.265729
2021-09-16 09:21:45.307011 : Epoch  4, Batch   1785, Loss  0.876897, Average Loss  0.869599, Time  0.241114
2021-09-16 09:21:46.644375 : Epoch  7, Batch     13, Loss  0.864923, Average Loss  0.870035, Time  0.265165
2021-09-16 09:21:47.893863 : Epoch  4, Batch   1786, Loss  0.865271, Average Loss  0.869384, Time  0.240577
2021-09-16 09:21:49.672156 : Epoch  7, Batch     14, Loss  0.877143, Average Loss  0.870052, Time  0.274661
2021-09-16 09:21:50.492325 : Epoch  4, Batch   1787, Loss  0.885638, Average Loss  0.869545, Time  0.240979
2021-09-16 09:21:52.719261 : Epoch  7, Batch     15, Loss  0.889690, Average Loss  0.870099, Time  0.266398
2021-09-16 09:21:53.101124 : Epoch  4, Batch   1788, Loss  0.874952, Average Loss  0.869592, Time  0.242599
2021-09-16 09:21:55.696999 : Epoch  4, Batch   1789, Loss  0.848317, Average Loss  0.869545, Time  0.240760
2021-09-16 09:21:55.757472 : Epoch  7, Batch     16, Loss  0.867093, Average Loss  0.870107, Time  0.265845
2021-09-16 09:21:58.300528 : Epoch  4, Batch   1790, Loss  0.887125, Average Loss  0.869606, Time  0.240259
2021-09-16 09:21:58.763617 : Epoch  7, Batch     17, Loss  0.881682, Average Loss  0.870182, Time  0.265465
2021-09-16 09:22:00.904891 : Epoch  4, Batch   1791, Loss  0.877909, Average Loss  0.869592, Time  0.240108
2021-09-16 09:22:01.782139 : Epoch  7, Batch     18, Loss  0.875911, Average Loss  0.870294, Time  0.266307
2021-09-16 09:22:03.516456 : Epoch  4, Batch   1792, Loss  0.846701, Average Loss  0.869580, Time  0.240006
2021-09-16 09:22:04.835575 : Epoch  7, Batch     19, Loss  0.875646, Average Loss  0.870309, Time  0.266069
2021-09-16 09:22:06.127060 : Epoch  4, Batch   1793, Loss  0.897923, Average Loss  0.869743, Time  0.240255
2021-09-16 09:22:07.847374 : Epoch  7, Batch     20, Loss  0.888602, Average Loss  0.870410, Time  0.266220
2021-09-16 09:22:08.723902 : Epoch  4, Batch   1794, Loss  0.868719, Average Loss  0.869763, Time  0.240733
2021-09-16 09:22:10.914789 : Epoch  7, Batch     21, Loss  0.871437, Average Loss  0.870553, Time  0.265708
2021-09-16 09:22:11.324886 : Epoch  4, Batch   1795, Loss  0.887009, Average Loss  0.869835, Time  0.240157
2021-09-16 09:22:13.908818 : Epoch  4, Batch   1796, Loss  0.876510, Average Loss  0.869905, Time  0.240558
2021-09-16 09:22:13.934208 : Epoch  7, Batch     22, Loss  0.873872, Average Loss  0.870632, Time  0.265779
2021-09-16 09:22:16.516988 : Epoch  4, Batch   1797, Loss  0.855937, Average Loss  0.869723, Time  0.240813
2021-09-16 09:22:16.964580 : Epoch  7, Batch     23, Loss  0.867225, Average Loss  0.870663, Time  0.267187
2021-09-16 09:22:19.112088 : Epoch  4, Batch   1798, Loss  0.876586, Average Loss  0.869759, Time  0.240254
2021-09-16 09:22:19.996351 : Epoch  7, Batch     24, Loss  0.881553, Average Loss  0.870680, Time  0.265817
2021-09-16 09:22:21.709869 : Epoch  4, Batch   1799, Loss  0.895425, Average Loss  0.869902, Time  0.240461
2021-09-16 09:22:23.058983 : Epoch  7, Batch     25, Loss  0.860260, Average Loss  0.870589, Time  0.267796
2021-09-16 09:22:24.304214 : Epoch  4, Batch   1800, Loss  0.881398, Average Loss  0.870035, Time  0.240260
2021-09-16 09:22:26.085445 : Epoch  7, Batch     26, Loss  0.855966, Average Loss  0.870556, Time  0.266019
2021-09-16 09:22:26.906588 : Epoch  4, Batch   1801, Loss  0.864779, Average Loss  0.870032, Time  0.241166
2021-09-16 09:22:29.125856 : Epoch  7, Batch     27, Loss  0.901343, Average Loss  0.870619, Time  0.266239
2021-09-16 09:22:29.495121 : Epoch  4, Batch   1802, Loss  0.874979, Average Loss  0.869993, Time  0.240115
2021-09-16 09:22:32.090112 : Epoch  4, Batch   1803, Loss  0.886822, Average Loss  0.870018, Time  0.239791
2021-09-16 09:22:32.138298 : Epoch  7, Batch     28, Loss  0.880122, Average Loss  0.870691, Time  0.265976
2021-09-16 09:22:34.695936 : Epoch  4, Batch   1804, Loss  0.879797, Average Loss  0.870048, Time  0.240893
2021-09-16 09:22:35.170406 : Epoch  7, Batch     29, Loss  0.865327, Average Loss  0.870672, Time  0.277338
2021-09-16 09:22:37.288120 : Epoch  4, Batch   1805, Loss  0.885115, Average Loss  0.870139, Time  0.241072
2021-09-16 09:22:38.191847 : Epoch  7, Batch     30, Loss  0.875305, Average Loss  0.870659, Time  0.266611
2021-09-16 09:22:39.917409 : Epoch  4, Batch   1806, Loss  0.875151, Average Loss  0.870178, Time  0.240972
2021-09-16 09:22:41.209900 : Epoch  7, Batch     31, Loss  0.867360, Average Loss  0.870618, Time  0.265985
2021-09-16 09:22:42.526874 : Epoch  4, Batch   1807, Loss  0.860694, Average Loss  0.870246, Time  0.240029
2021-09-16 09:22:44.264857 : Epoch  7, Batch     32, Loss  0.874377, Average Loss  0.870536, Time  0.265413
2021-09-16 09:22:45.125485 : Epoch  4, Batch   1808, Loss  0.879929, Average Loss  0.870258, Time  0.240613
2021-09-16 09:22:47.316012 : Epoch  7, Batch     33, Loss  0.890015, Average Loss  0.870691, Time  0.266291
2021-09-16 09:22:47.712639 : Epoch  4, Batch   1809, Loss  0.860197, Average Loss  0.870230, Time  0.241017
2021-09-16 09:22:50.309545 : Epoch  4, Batch   1810, Loss  0.864864, Average Loss  0.870272, Time  0.243006
2021-09-16 09:22:50.354934 : Epoch  7, Batch     34, Loss  0.875461, Average Loss  0.870724, Time  0.265651
2021-09-16 09:22:52.908275 : Epoch  4, Batch   1811, Loss  0.858547, Average Loss  0.870249, Time  0.241968
2021-09-16 09:22:53.374666 : Epoch  7, Batch     35, Loss  0.864580, Average Loss  0.870599, Time  0.265329
2021-09-16 09:22:55.513040 : Epoch  4, Batch   1812, Loss  0.848871, Average Loss  0.870305, Time  0.240574
2021-09-16 09:22:56.373199 : Epoch  7, Batch     36, Loss  0.882807, Average Loss  0.870645, Time  0.265883
2021-09-16 09:22:58.125440 : Epoch  4, Batch   1813, Loss  0.858937, Average Loss  0.870170, Time  0.241808
2021-09-16 09:22:59.414577 : Epoch  7, Batch     37, Loss  0.872218, Average Loss  0.870634, Time  0.267441
2021-09-16 09:23:00.721063 : Epoch  4, Batch   1814, Loss  0.865399, Average Loss  0.870109, Time  0.240094
2021-09-16 09:23:02.458856 : Epoch  7, Batch     38, Loss  0.868551, Average Loss  0.870585, Time  0.266154
2021-09-16 09:23:03.318471 : Epoch  4, Batch   1815, Loss  0.868890, Average Loss  0.870091, Time  0.240281
2021-09-16 09:23:05.497154 : Epoch  7, Batch     39, Loss  0.861413, Average Loss  0.870608, Time  0.265821
2021-09-16 09:23:05.910261 : Epoch  4, Batch   1816, Loss  0.891349, Average Loss  0.870240, Time  0.239986
2021-09-16 09:23:08.492360 : Epoch  4, Batch   1817, Loss  0.856329, Average Loss  0.870212, Time  0.239646
2021-09-16 09:23:08.540594 : Epoch  7, Batch     40, Loss  0.870356, Average Loss  0.870633, Time  0.265627
2021-09-16 09:23:11.089045 : Epoch  4, Batch   1818, Loss  0.854727, Average Loss  0.870133, Time  0.239895
2021-09-16 09:23:11.573294 : Epoch  7, Batch     41, Loss  0.885651, Average Loss  0.870741, Time  0.265704
2021-09-16 09:23:13.682614 : Epoch  4, Batch   1819, Loss  0.892642, Average Loss  0.870203, Time  0.240392
2021-09-16 09:23:14.583172 : Epoch  7, Batch     42, Loss  0.866344, Average Loss  0.870734, Time  0.265621
2021-09-16 09:23:16.284429 : Epoch  4, Batch   1820, Loss  0.846721, Average Loss  0.870023, Time  0.241167
2021-09-16 09:23:17.614726 : Epoch  7, Batch     43, Loss  0.862254, Average Loss  0.870859, Time  0.265241
2021-09-16 09:23:18.898439 : Epoch  4, Batch   1821, Loss  0.887440, Average Loss  0.869988, Time  0.241040
2021-09-16 09:23:20.680279 : Epoch  7, Batch     44, Loss  0.858644, Average Loss  0.870760, Time  0.276089
2021-09-16 09:23:21.493048 : Epoch  4, Batch   1822, Loss  0.864282, Average Loss  0.869981, Time  0.240949
2021-09-16 09:23:23.721841 : Epoch  7, Batch     45, Loss  0.863423, Average Loss  0.870702, Time  0.268532
2021-09-16 09:23:24.093538 : Epoch  4, Batch   1823, Loss  0.869426, Average Loss  0.869993, Time  0.243387
2021-09-16 09:23:26.675344 : Epoch  4, Batch   1824, Loss  0.860449, Average Loss  0.869968, Time  0.240765
2021-09-16 09:23:26.758565 : Epoch  7, Batch     46, Loss  0.868497, Average Loss  0.870683, Time  0.265592
2021-09-16 09:23:29.272841 : Epoch  4, Batch   1825, Loss  0.882416, Average Loss  0.870065, Time  0.241242
2021-09-16 09:23:29.790510 : Epoch  7, Batch     47, Loss  0.861054, Average Loss  0.870681, Time  0.267650
2021-09-16 09:23:31.873878 : Epoch  4, Batch   1826, Loss  0.875138, Average Loss  0.869996, Time  0.240113
2021-09-16 09:23:32.817760 : Epoch  7, Batch     48, Loss  0.842756, Average Loss  0.870546, Time  0.265709
2021-09-16 09:23:34.488951 : Epoch  4, Batch   1827, Loss  0.873017, Average Loss  0.870007, Time  0.240146
2021-09-16 09:23:35.836733 : Epoch  7, Batch     49, Loss  0.858914, Average Loss  0.870474, Time  0.264445
2021-09-16 09:23:37.089416 : Epoch  4, Batch   1828, Loss  0.875899, Average Loss  0.870140, Time  0.240297
2021-09-16 09:23:38.839492 : Epoch  7, Batch     50, Loss  0.877942, Average Loss  0.870492, Time  0.266287
2021-09-16 09:23:39.691114 : Epoch  4, Batch   1829, Loss  0.853992, Average Loss  0.870096, Time  0.240723
2021-09-16 09:23:41.883347 : Epoch  7, Batch     51, Loss  0.848398, Average Loss  0.870313, Time  0.266350
2021-09-16 09:23:42.297599 : Epoch  4, Batch   1830, Loss  0.868426, Average Loss  0.870013, Time  0.240768
2021-09-16 09:23:44.891829 : Epoch  4, Batch   1831, Loss  0.869307, Average Loss  0.869917, Time  0.240843
2021-09-16 09:23:44.938479 : Epoch  7, Batch     52, Loss  0.847412, Average Loss  0.870194, Time  0.265611
2021-09-16 09:23:47.491852 : Epoch  4, Batch   1832, Loss  0.877261, Average Loss  0.869984, Time  0.240683
2021-09-16 09:23:47.961168 : Epoch  7, Batch     53, Loss  0.848744, Average Loss  0.870189, Time  0.265288
2021-09-16 09:23:50.979057 : Epoch  7, Batch     54, Loss  0.875510, Average Loss  0.870201, Time  0.265636
2021-09-16 09:23:53.997484 : Epoch  7, Batch     55, Loss  0.869793, Average Loss  0.870168, Time  0.265390
2021-09-16 09:23:57.026803 : Epoch  7, Batch     56, Loss  0.868008, Average Loss  0.870110, Time  0.266576
2021-09-16 09:24:00.044884 : Epoch  7, Batch     57, Loss  0.846325, Average Loss  0.869975, Time  0.265701
2021-09-16 09:24:03.081741 : Epoch  7, Batch     58, Loss  0.883530, Average Loss  0.870020, Time  0.266553
2021-09-16 09:24:06.172319 : Epoch  7, Batch     59, Loss  0.858383, Average Loss  0.870012, Time  0.276440
2021-09-16 09:24:09.204660 : Epoch  7, Batch     60, Loss  0.868547, Average Loss  0.870000, Time  0.266288
2021-09-16 09:24:12.227969 : Epoch  7, Batch     61, Loss  0.853816, Average Loss  0.869796, Time  0.265562
2021-09-16 09:24:15.288266 : Epoch  7, Batch     62, Loss  0.863851, Average Loss  0.869767, Time  0.266426
2021-09-16 09:24:18.328313 : Epoch  7, Batch     63, Loss  0.866818, Average Loss  0.869775, Time  0.265105
2021-09-16 09:24:21.384330 : Epoch  7, Batch     64, Loss  0.872675, Average Loss  0.869773, Time  0.266881
2021-09-16 09:27:50.468767 : CheckPoint: Validation Loss  0.00030788, Best Loss  0.00029226
2021-09-16 09:27:53.058552 : Epoch  4, Batch   1833, Loss  0.870177, Average Loss  0.870003, Time  0.243038
2021-09-16 09:27:55.651259 : Epoch  4, Batch   1834, Loss  0.865318, Average Loss  0.870004, Time  0.240329
2021-09-16 09:27:58.243339 : Epoch  4, Batch   1835, Loss  0.879515, Average Loss  0.870094, Time  0.240006
2021-09-16 09:28:00.831512 : Epoch  4, Batch   1836, Loss  0.861646, Average Loss  0.870030, Time  0.239699
2021-09-16 09:28:03.424229 : Epoch  4, Batch   1837, Loss  0.873233, Average Loss  0.870072, Time  0.239843
2021-09-16 09:28:06.031410 : Epoch  4, Batch   1838, Loss  0.862034, Average Loss  0.869943, Time  0.240601
2021-09-16 09:28:08.634112 : Epoch  4, Batch   1839, Loss  0.851520, Average Loss  0.869824, Time  0.240247
2021-09-16 09:28:11.240430 : Epoch  4, Batch   1840, Loss  0.878624, Average Loss  0.869843, Time  0.240205
2021-09-16 09:28:13.833884 : Epoch  4, Batch   1841, Loss  0.874310, Average Loss  0.869731, Time  0.240022
2021-09-16 09:28:16.434577 : Epoch  4, Batch   1842, Loss  0.888598, Average Loss  0.869816, Time  0.241226
2021-09-16 09:28:19.019183 : Epoch  4, Batch   1843, Loss  0.874368, Average Loss  0.869964, Time  0.241274
2021-09-16 09:28:21.617622 : Epoch  4, Batch   1844, Loss  0.866857, Average Loss  0.870009, Time  0.240151
2021-09-16 09:28:24.218582 : Epoch  4, Batch   1845, Loss  0.881166, Average Loss  0.870111, Time  0.241065
2021-09-16 09:28:26.806210 : Epoch  4, Batch   1846, Loss  0.878344, Average Loss  0.870251, Time  0.241076
2021-09-16 09:28:29.401416 : Epoch  4, Batch   1847, Loss  0.866292, Average Loss  0.870312, Time  0.240017
2021-09-16 09:28:31.998262 : Epoch  4, Batch   1848, Loss  0.870111, Average Loss  0.870288, Time  0.241446
2021-09-16 09:28:34.603595 : Epoch  4, Batch   1849, Loss  0.867147, Average Loss  0.870248, Time  0.239791
2021-09-16 09:28:37.202804 : Epoch  4, Batch   1850, Loss  0.880632, Average Loss  0.870261, Time  0.240920
2021-09-16 09:28:39.793896 : Epoch  4, Batch   1851, Loss  0.851915, Average Loss  0.870217, Time  0.240036
2021-09-16 09:28:42.399591 : Epoch  4, Batch   1852, Loss  0.865545, Average Loss  0.870179, Time  0.240052
2021-09-16 09:28:44.994880 : Epoch  4, Batch   1853, Loss  0.861531, Average Loss  0.869992, Time  0.241513
2021-09-16 09:28:47.585193 : Epoch  4, Batch   1854, Loss  0.897080, Average Loss  0.870097, Time  0.240226
2021-09-16 09:28:50.170407 : Epoch  4, Batch   1855, Loss  0.888017, Average Loss  0.870214, Time  0.242821
2021-09-16 09:28:52.757062 : Epoch  4, Batch   1856, Loss  0.861575, Average Loss  0.870119, Time  0.240169
2021-09-16 09:28:52.795292 : Saving Model after 4-th Epoch.
2021-09-16 09:28:53.759607 : Epoch Finished.
2021-09-16 09:29:01.688642 : CheckPoint: Validation Loss  0.00029938, Best Loss  0.00029295
2021-09-16 09:29:02.497585 : Batch Shuffled
2021-09-16 09:29:04.715625 : Epoch  7, Batch     65, Loss  0.863348, Average Loss  0.869915, Time  0.268210
2021-09-16 09:29:05.112034 : Epoch  5, Batch      1, Loss  0.868909, Average Loss  0.870071, Time  0.277015
2021-09-16 09:29:07.743003 : Epoch  5, Batch      2, Loss  0.878717, Average Loss  0.870105, Time  0.261674
2021-09-16 09:29:07.770158 : Epoch  7, Batch     66, Loss  0.866664, Average Loss  0.869939, Time  0.266121
2021-09-16 09:29:10.332044 : Epoch  5, Batch      3, Loss  0.865857, Average Loss  0.870121, Time  0.244821
2021-09-16 09:29:10.806243 : Epoch  7, Batch     67, Loss  0.863143, Average Loss  0.869848, Time  0.266258
2021-09-16 09:29:12.916505 : Epoch  5, Batch      4, Loss  0.872388, Average Loss  0.870023, Time  0.240567
2021-09-16 09:29:13.844863 : Epoch  7, Batch     68, Loss  0.871834, Average Loss  0.869883, Time  0.266819
2021-09-16 09:29:15.508962 : Epoch  5, Batch      5, Loss  0.878645, Average Loss  0.870115, Time  0.241212
2021-09-16 09:29:16.858229 : Epoch  7, Batch     69, Loss  0.856186, Average Loss  0.869723, Time  0.265225
2021-09-16 09:29:18.102960 : Epoch  5, Batch      6, Loss  0.839372, Average Loss  0.869915, Time  0.240142
2021-09-16 09:29:19.896001 : Epoch  7, Batch     70, Loss  0.858201, Average Loss  0.869608, Time  0.267040
2021-09-16 09:29:20.694035 : Epoch  5, Batch      7, Loss  0.865216, Average Loss  0.869912, Time  0.240909
2021-09-16 09:29:22.915719 : Epoch  7, Batch     71, Loss  0.869344, Average Loss  0.869459, Time  0.267415
2021-09-16 09:29:23.288839 : Epoch  5, Batch      8, Loss  0.868223, Average Loss  0.869861, Time  0.240105
2021-09-16 09:29:25.873058 : Epoch  5, Batch      9, Loss  0.851922, Average Loss  0.869751, Time  0.240961
2021-09-16 09:29:25.970946 : Epoch  7, Batch     72, Loss  0.854400, Average Loss  0.869364, Time  0.265466
2021-09-16 09:29:28.473383 : Epoch  5, Batch     10, Loss  0.859824, Average Loss  0.869741, Time  0.241211
2021-09-16 09:29:29.002416 : Epoch  7, Batch     73, Loss  0.885743, Average Loss  0.869449, Time  0.266000
2021-09-16 09:29:31.061290 : Epoch  5, Batch     11, Loss  0.862947, Average Loss  0.869685, Time  0.239971
2021-09-16 09:29:32.046307 : Epoch  7, Batch     74, Loss  0.873250, Average Loss  0.869463, Time  0.276503
2021-09-16 09:29:33.652315 : Epoch  5, Batch     12, Loss  0.883021, Average Loss  0.869854, Time  0.240819
2021-09-16 09:29:35.080370 : Epoch  7, Batch     75, Loss  0.889348, Average Loss  0.869641, Time  0.264961
2021-09-16 09:29:36.243553 : Epoch  5, Batch     13, Loss  0.866779, Average Loss  0.869880, Time  0.240354
2021-09-16 09:29:38.096207 : Epoch  7, Batch     76, Loss  0.884946, Average Loss  0.869761, Time  0.266641
2021-09-16 09:29:38.841082 : Epoch  5, Batch     14, Loss  0.865437, Average Loss  0.869813, Time  0.241853
2021-09-16 09:29:41.145086 : Epoch  7, Batch     77, Loss  0.872388, Average Loss  0.869775, Time  0.265306
2021-09-16 09:29:41.434880 : Epoch  5, Batch     15, Loss  0.894541, Average Loss  0.869975, Time  0.240136
2021-09-16 09:29:44.025213 : Epoch  5, Batch     16, Loss  0.870773, Average Loss  0.869929, Time  0.242678
2021-09-16 09:29:44.187952 : Epoch  7, Batch     78, Loss  0.879198, Average Loss  0.869912, Time  0.266192
2021-09-16 09:29:46.612601 : Epoch  5, Batch     17, Loss  0.869750, Average Loss  0.869904, Time  0.240036
2021-09-16 09:29:47.240129 : Epoch  7, Batch     79, Loss  0.891337, Average Loss  0.869930, Time  0.265953
2021-09-16 09:29:49.193391 : Epoch  5, Batch     18, Loss  0.867188, Average Loss  0.869868, Time  0.240249
2021-09-16 09:29:50.257269 : Epoch  7, Batch     80, Loss  0.878312, Average Loss  0.869918, Time  0.266066
2021-09-16 09:29:51.784955 : Epoch  5, Batch     19, Loss  0.888957, Average Loss  0.869953, Time  0.240890
2021-09-16 09:29:53.290484 : Epoch  7, Batch     81, Loss  0.867390, Average Loss  0.869846, Time  0.266079
2021-09-16 09:29:54.377278 : Epoch  5, Batch     20, Loss  0.866782, Average Loss  0.869931, Time  0.240997
2021-09-16 09:29:56.327580 : Epoch  7, Batch     82, Loss  0.877235, Average Loss  0.869889, Time  0.265441
2021-09-16 09:29:56.964245 : Epoch  5, Batch     21, Loss  0.853572, Average Loss  0.869879, Time  0.240203
2021-09-16 09:29:59.338189 : Epoch  7, Batch     83, Loss  0.867769, Average Loss  0.869923, Time  0.266119
2021-09-16 09:29:59.553434 : Epoch  5, Batch     22, Loss  0.871071, Average Loss  0.869878, Time  0.241420
2021-09-16 09:30:02.138938 : Epoch  5, Batch     23, Loss  0.891995, Average Loss  0.869987, Time  0.240103
2021-09-16 09:30:02.354741 : Epoch  7, Batch     84, Loss  0.862115, Average Loss  0.869852, Time  0.265739
2021-09-16 09:30:04.734788 : Epoch  5, Batch     24, Loss  0.861944, Average Loss  0.869981, Time  0.241384
2021-09-16 09:30:05.364608 : Epoch  7, Batch     85, Loss  0.870623, Average Loss  0.869942, Time  0.268544
2021-09-16 09:30:07.329448 : Epoch  5, Batch     25, Loss  0.869390, Average Loss  0.870088, Time  0.241768
2021-09-16 09:30:08.413008 : Epoch  7, Batch     86, Loss  0.880733, Average Loss  0.870051, Time  0.265666
2021-09-16 09:30:09.920110 : Epoch  5, Batch     26, Loss  0.869422, Average Loss  0.870165, Time  0.240151
2021-09-16 09:30:11.433491 : Epoch  7, Batch     87, Loss  0.888389, Average Loss  0.870158, Time  0.266320
2021-09-16 09:30:12.507955 : Epoch  5, Batch     27, Loss  0.880564, Average Loss  0.870292, Time  0.242265
2021-09-16 09:30:14.445842 : Epoch  7, Batch     88, Loss  0.856812, Average Loss  0.870150, Time  0.265512
2021-09-16 09:30:15.095342 : Epoch  5, Batch     28, Loss  0.870186, Average Loss  0.870251, Time  0.240155
2021-09-16 09:30:17.475866 : Epoch  7, Batch     89, Loss  0.857432, Average Loss  0.870046, Time  0.277611
2021-09-16 09:30:17.678940 : Epoch  5, Batch     29, Loss  0.894710, Average Loss  0.870301, Time  0.240903
2021-09-16 09:30:20.261906 : Epoch  5, Batch     30, Loss  0.863428, Average Loss  0.870250, Time  0.240418
2021-09-16 09:30:20.502763 : Epoch  7, Batch     90, Loss  0.866788, Average Loss  0.870042, Time  0.268070
2021-09-16 09:30:22.838486 : Epoch  5, Batch     31, Loss  0.876130, Average Loss  0.870299, Time  0.240813
2021-09-16 09:30:23.510473 : Epoch  7, Batch     91, Loss  0.876009, Average Loss  0.870014, Time  0.265541
2021-09-16 09:30:25.427019 : Epoch  5, Batch     32, Loss  0.856905, Average Loss  0.870198, Time  0.241738
2021-09-16 09:30:26.523886 : Epoch  7, Batch     92, Loss  0.868089, Average Loss  0.870055, Time  0.265904
2021-09-16 09:30:28.022531 : Epoch  5, Batch     33, Loss  0.871117, Average Loss  0.870143, Time  0.242405
2021-09-16 09:30:29.548897 : Epoch  7, Batch     93, Loss  0.859399, Average Loss  0.869911, Time  0.265773
2021-09-16 09:30:30.603171 : Epoch  5, Batch     34, Loss  0.878726, Average Loss  0.870201, Time  0.240125
2021-09-16 09:30:32.610168 : Epoch  7, Batch     94, Loss  0.883488, Average Loss  0.869937, Time  0.265977
2021-09-16 09:30:33.192620 : Epoch  5, Batch     35, Loss  0.873989, Average Loss  0.870250, Time  0.240763
2021-09-16 09:30:35.630615 : Epoch  7, Batch     95, Loss  0.856832, Average Loss  0.869958, Time  0.265936
2021-09-16 09:30:35.799376 : Epoch  5, Batch     36, Loss  0.855567, Average Loss  0.870260, Time  0.241061
2021-09-16 09:30:38.380055 : Epoch  5, Batch     37, Loss  0.879274, Average Loss  0.870176, Time  0.240139
2021-09-16 09:30:38.667647 : Epoch  7, Batch     96, Loss  0.860910, Average Loss  0.870005, Time  0.264678
2021-09-16 09:30:40.992027 : Epoch  5, Batch     38, Loss  0.878247, Average Loss  0.870285, Time  0.240165
2021-09-16 09:30:41.697430 : Epoch  7, Batch     97, Loss  0.870165, Average Loss  0.870006, Time  0.265563
2021-09-16 09:30:43.592422 : Epoch  5, Batch     39, Loss  0.869334, Average Loss  0.870257, Time  0.241272
2021-09-16 09:30:44.735088 : Epoch  7, Batch     98, Loss  0.848441, Average Loss  0.869810, Time  0.265989
2021-09-16 09:30:46.176802 : Epoch  5, Batch     40, Loss  0.859793, Average Loss  0.870243, Time  0.240074
2021-09-16 09:30:47.772224 : Epoch  7, Batch     99, Loss  0.853130, Average Loss  0.869684, Time  0.266994
2021-09-16 09:30:48.762226 : Epoch  5, Batch     41, Loss  0.899014, Average Loss  0.870323, Time  0.240461
2021-09-16 09:30:50.802906 : Epoch  7, Batch    100, Loss  0.852032, Average Loss  0.869567, Time  0.266115
2021-09-16 09:30:51.344789 : Epoch  5, Batch     42, Loss  0.889893, Average Loss  0.870359, Time  0.240076
2021-09-16 09:30:53.818751 : Epoch  7, Batch    101, Loss  0.864053, Average Loss  0.869461, Time  0.265507
2021-09-16 09:30:53.937974 : Epoch  5, Batch     43, Loss  0.861440, Average Loss  0.870385, Time  0.241828
2021-09-16 09:30:56.510944 : Epoch  5, Batch     44, Loss  0.899014, Average Loss  0.870505, Time  0.239885
2021-09-16 09:30:56.826283 : Epoch  7, Batch    102, Loss  0.890416, Average Loss  0.869528, Time  0.265263
2021-09-16 09:30:59.105245 : Epoch  5, Batch     45, Loss  0.876073, Average Loss  0.870527, Time  0.240189
2021-09-16 09:30:59.852351 : Epoch  7, Batch    103, Loss  0.871269, Average Loss  0.869553, Time  0.266288
2021-09-16 09:31:01.694274 : Epoch  5, Batch     46, Loss  0.888756, Average Loss  0.870543, Time  0.239789
2021-09-16 09:31:02.917407 : Epoch  7, Batch    104, Loss  0.880223, Average Loss  0.869650, Time  0.278575
2021-09-16 09:31:04.282977 : Epoch  5, Batch     47, Loss  0.888492, Average Loss  0.870764, Time  0.240151
2021-09-16 09:31:05.933246 : Epoch  7, Batch    105, Loss  0.877624, Average Loss  0.869640, Time  0.267383
2021-09-16 09:31:06.867220 : Epoch  5, Batch     48, Loss  0.867028, Average Loss  0.870826, Time  0.240037
2021-09-16 09:31:08.951675 : Epoch  7, Batch    106, Loss  0.876454, Average Loss  0.869721, Time  0.268633
2021-09-16 09:31:09.460420 : Epoch  5, Batch     49, Loss  0.859346, Average Loss  0.870816, Time  0.241893
2021-09-16 09:31:11.963454 : Epoch  7, Batch    107, Loss  0.869283, Average Loss  0.869682, Time  0.266087
2021-09-16 09:31:12.036384 : Epoch  5, Batch     50, Loss  0.879373, Average Loss  0.870969, Time  0.241030
2021-09-16 09:31:14.618427 : Epoch  5, Batch     51, Loss  0.844701, Average Loss  0.870957, Time  0.239723
2021-09-16 09:31:14.979616 : Epoch  7, Batch    108, Loss  0.867205, Average Loss  0.869659, Time  0.266603
2021-09-16 09:31:17.209106 : Epoch  5, Batch     52, Loss  0.847266, Average Loss  0.870756, Time  0.239939
2021-09-16 09:31:18.007392 : Epoch  7, Batch    109, Loss  0.861405, Average Loss  0.869642, Time  0.265346
2021-09-16 09:31:19.809407 : Epoch  5, Batch     53, Loss  0.875119, Average Loss  0.870796, Time  0.239816
2021-09-16 09:31:21.000647 : Epoch  7, Batch    110, Loss  0.870251, Average Loss  0.869641, Time  0.265770
2021-09-16 09:31:22.409185 : Epoch  5, Batch     54, Loss  0.861175, Average Loss  0.870833, Time  0.241031
2021-09-16 09:31:24.047015 : Epoch  7, Batch    111, Loss  0.850637, Average Loss  0.869521, Time  0.267087
2021-09-16 09:31:25.000910 : Epoch  5, Batch     55, Loss  0.858165, Average Loss  0.870706, Time  0.240519
2021-09-16 09:31:27.098539 : Epoch  7, Batch    112, Loss  0.880610, Average Loss  0.869627, Time  0.265401
2021-09-16 09:31:27.592659 : Epoch  5, Batch     56, Loss  0.867382, Average Loss  0.870763, Time  0.240563
2021-09-16 09:31:30.110696 : Epoch  7, Batch    113, Loss  0.862466, Average Loss  0.869583, Time  0.265824
2021-09-16 09:31:30.181409 : Epoch  5, Batch     57, Loss  0.868164, Average Loss  0.870770, Time  0.240338
2021-09-16 09:31:32.793460 : Epoch  5, Batch     58, Loss  0.878358, Average Loss  0.870751, Time  0.240350
2021-09-16 09:31:33.131052 : Epoch  7, Batch    114, Loss  0.884186, Average Loss  0.869643, Time  0.265802
2021-09-16 09:31:35.392397 : Epoch  5, Batch     59, Loss  0.882294, Average Loss  0.870742, Time  0.239862
2021-09-16 09:31:36.151114 : Epoch  7, Batch    115, Loss  0.882473, Average Loss  0.869817, Time  0.266206
2021-09-16 09:31:37.990880 : Epoch  5, Batch     60, Loss  0.878982, Average Loss  0.870841, Time  0.240585
2021-09-16 09:31:39.205849 : Epoch  7, Batch    116, Loss  0.830398, Average Loss  0.869507, Time  0.265907
2021-09-16 09:31:40.575566 : Epoch  5, Batch     61, Loss  0.866115, Average Loss  0.870954, Time  0.240025
2021-09-16 09:31:42.223390 : Epoch  7, Batch    117, Loss  0.867837, Average Loss  0.869531, Time  0.264982
2021-09-16 09:31:43.177601 : Epoch  5, Batch     62, Loss  0.892418, Average Loss  0.871056, Time  0.241841
2021-09-16 09:31:45.237482 : Epoch  7, Batch    118, Loss  0.866867, Average Loss  0.869457, Time  0.266505
2021-09-16 09:31:45.785587 : Epoch  5, Batch     63, Loss  0.865937, Average Loss  0.871055, Time  0.239938
2021-09-16 09:31:48.265418 : Epoch  7, Batch    119, Loss  0.856467, Average Loss  0.869407, Time  0.276598
2021-09-16 09:31:48.397072 : Epoch  5, Batch     64, Loss  0.879856, Average Loss  0.871174, Time  0.240118
2021-09-16 09:31:50.975418 : Epoch  5, Batch     65, Loss  0.875273, Average Loss  0.871290, Time  0.241886
2021-09-16 09:31:51.279520 : Epoch  7, Batch    120, Loss  0.880075, Average Loss  0.869425, Time  0.267006
2021-09-16 09:31:53.564803 : Epoch  5, Batch     66, Loss  0.865269, Average Loss  0.871309, Time  0.240068
2021-09-16 09:31:54.310560 : Epoch  7, Batch    121, Loss  0.856919, Average Loss  0.869452, Time  0.266562
2021-09-16 09:31:56.149003 : Epoch  5, Batch     67, Loss  0.865916, Average Loss  0.871273, Time  0.239990
2021-09-16 09:31:57.355617 : Epoch  7, Batch    122, Loss  0.860630, Average Loss  0.869412, Time  0.265807
2021-09-16 09:31:58.744027 : Epoch  5, Batch     68, Loss  0.864008, Average Loss  0.871258, Time  0.239965
2021-09-16 09:32:00.342547 : Epoch  7, Batch    123, Loss  0.869714, Average Loss  0.869393, Time  0.263872
2021-09-16 09:32:01.331898 : Epoch  5, Batch     69, Loss  0.869930, Average Loss  0.871217, Time  0.240667
2021-09-16 09:32:03.407307 : Epoch  7, Batch    124, Loss  0.838197, Average Loss  0.869228, Time  0.266417
2021-09-16 09:32:03.923320 : Epoch  5, Batch     70, Loss  0.860419, Average Loss  0.871286, Time  0.240983
2021-09-16 09:32:06.473111 : Epoch  7, Batch    125, Loss  0.864348, Average Loss  0.869307, Time  0.267120
2021-09-16 09:32:06.512697 : Epoch  5, Batch     71, Loss  0.873208, Average Loss  0.871327, Time  0.240053
2021-09-16 09:32:09.106103 : Epoch  5, Batch     72, Loss  0.869090, Average Loss  0.871237, Time  0.240392
2021-09-16 09:32:09.484532 : Epoch  7, Batch    126, Loss  0.875410, Average Loss  0.869394, Time  0.266647
2021-09-16 09:32:11.696515 : Epoch  5, Batch     73, Loss  0.887864, Average Loss  0.871239, Time  0.240387
2021-09-16 09:32:12.496995 : Epoch  7, Batch    127, Loss  0.847238, Average Loss  0.869343, Time  0.266214
2021-09-16 09:32:14.282414 : Epoch  5, Batch     74, Loss  0.855834, Average Loss  0.871143, Time  0.240624
2021-09-16 09:32:15.514980 : Epoch  7, Batch    128, Loss  0.856998, Average Loss  0.869223, Time  0.265553
2021-09-16 09:32:16.870292 : Epoch  5, Batch     75, Loss  0.862712, Average Loss  0.871008, Time  0.239966
2021-09-16 09:32:18.561059 : Epoch  7, Batch    129, Loss  0.857203, Average Loss  0.869263, Time  0.266242
2021-09-16 09:32:19.463851 : Epoch  5, Batch     76, Loss  0.865821, Average Loss  0.870955, Time  0.241888
2021-09-16 09:32:21.581245 : Epoch  7, Batch    130, Loss  0.878368, Average Loss  0.869343, Time  0.265374
2021-09-16 09:32:24.567590 : Epoch  7, Batch    131, Loss  0.838724, Average Loss  0.869244, Time  0.266120
2021-09-16 09:32:27.605850 : Epoch  7, Batch    132, Loss  0.878810, Average Loss  0.869357, Time  0.266899
2021-09-16 09:32:30.634914 : Epoch  7, Batch    133, Loss  0.860677, Average Loss  0.869260, Time  0.265201
2021-09-16 09:32:33.676819 : Epoch  7, Batch    134, Loss  0.897765, Average Loss  0.869288, Time  0.277659
2021-09-16 09:32:36.691083 : Epoch  7, Batch    135, Loss  0.847315, Average Loss  0.869258, Time  0.266033
2021-09-16 09:32:39.712005 : Epoch  7, Batch    136, Loss  0.867103, Average Loss  0.869311, Time  0.265422
2021-09-16 09:32:42.728939 : Epoch  7, Batch    137, Loss  0.864813, Average Loss  0.869328, Time  0.267348
2021-09-16 09:32:45.756280 : Epoch  7, Batch    138, Loss  0.876050, Average Loss  0.869335, Time  0.266024
2021-09-16 09:32:48.775071 : Epoch  7, Batch    139, Loss  0.866282, Average Loss  0.869306, Time  0.266130
2021-09-16 09:32:51.808018 : Epoch  7, Batch    140, Loss  0.863465, Average Loss  0.869275, Time  0.265619
2021-09-16 09:32:54.834725 : Epoch  7, Batch    141, Loss  0.871614, Average Loss  0.869227, Time  0.265037
2021-09-16 09:32:57.867804 : Epoch  7, Batch    142, Loss  0.879632, Average Loss  0.869241, Time  0.265633
2021-09-16 09:33:00.871404 : Epoch  7, Batch    143, Loss  0.864685, Average Loss  0.869369, Time  0.265617
2021-09-16 09:33:03.911537 : Epoch  7, Batch    144, Loss  0.869584, Average Loss  0.869401, Time  0.265973
2021-09-16 09:33:06.940995 : Epoch  7, Batch    145, Loss  0.877423, Average Loss  0.869325, Time  0.267581
2021-09-16 09:33:09.984051 : Epoch  7, Batch    146, Loss  0.886745, Average Loss  0.869400, Time  0.265128
2021-09-16 09:33:13.005411 : Epoch  7, Batch    147, Loss  0.858494, Average Loss  0.869381, Time  0.265986
2021-09-16 09:33:16.010218 : Epoch  7, Batch    148, Loss  0.862434, Average Loss  0.869284, Time  0.266382
2021-09-16 09:33:19.038351 : Epoch  7, Batch    149, Loss  0.882096, Average Loss  0.869378, Time  0.275298
2021-09-16 09:33:22.095203 : Epoch  7, Batch    150, Loss  0.835982, Average Loss  0.869151, Time  0.266598
2021-09-16 09:33:25.156083 : Epoch  7, Batch    151, Loss  0.878579, Average Loss  0.869113, Time  0.265904
2021-09-16 09:33:28.181199 : Epoch  7, Batch    152, Loss  0.847942, Average Loss  0.868891, Time  0.267311
2021-09-16 09:33:31.230482 : Epoch  7, Batch    153, Loss  0.856206, Average Loss  0.868941, Time  0.266559
2021-09-16 09:33:34.250430 : Epoch  7, Batch    154, Loss  0.869749, Average Loss  0.868942, Time  0.265445
2021-09-16 09:33:37.277744 : Epoch  7, Batch    155, Loss  0.855983, Average Loss  0.868749, Time  0.265181
2021-09-16 09:33:40.295576 : Epoch  7, Batch    156, Loss  0.882003, Average Loss  0.868804, Time  0.264475
2021-09-16 09:33:43.321157 : Epoch  7, Batch    157, Loss  0.887718, Average Loss  0.868904, Time  0.264801
2021-09-16 09:33:46.345542 : Epoch  7, Batch    158, Loss  0.870356, Average Loss  0.868831, Time  0.265295
2021-09-16 09:33:49.379296 : Epoch  7, Batch    159, Loss  0.892368, Average Loss  0.868921, Time  0.265958
2021-09-16 09:33:52.418387 : Epoch  7, Batch    160, Loss  0.878175, Average Loss  0.868871, Time  0.266328
2021-09-16 09:33:55.468999 : Epoch  7, Batch    161, Loss  0.887484, Average Loss  0.869050, Time  0.265927
2021-09-16 09:33:58.521736 : Epoch  7, Batch    162, Loss  0.864199, Average Loss  0.869019, Time  0.266534
2021-09-16 09:34:01.572556 : Epoch  7, Batch    163, Loss  0.876146, Average Loss  0.868942, Time  0.265120
2021-09-16 09:34:04.595871 : Epoch  7, Batch    164, Loss  0.871804, Average Loss  0.868831, Time  0.278476
2021-09-16 09:36:21.136851 : CheckPoint: Validation Loss  0.00030490, Best Loss  0.00029226
2021-09-16 09:36:23.758968 : Epoch  5, Batch     77, Loss  0.877488, Average Loss  0.871054, Time  0.279951
2021-09-16 09:36:26.358959 : Epoch  5, Batch     78, Loss  0.841440, Average Loss  0.870833, Time  0.257151
2021-09-16 09:36:28.941153 : Epoch  5, Batch     79, Loss  0.881631, Average Loss  0.870937, Time  0.239859
2021-09-16 09:36:31.522353 : Epoch  5, Batch     80, Loss  0.870219, Average Loss  0.870943, Time  0.240495
2021-09-16 09:36:34.095803 : Epoch  5, Batch     81, Loss  0.871713, Average Loss  0.871008, Time  0.239956
2021-09-16 09:36:36.676562 : Epoch  5, Batch     82, Loss  0.864444, Average Loss  0.871007, Time  0.239960
2021-09-16 09:36:39.255213 : Epoch  5, Batch     83, Loss  0.872751, Average Loss  0.871047, Time  0.240623
2021-09-16 09:36:41.833950 : Epoch  5, Batch     84, Loss  0.881489, Average Loss  0.871152, Time  0.239825
2021-09-16 09:36:44.413009 : Epoch  5, Batch     85, Loss  0.873208, Average Loss  0.871227, Time  0.240536
2021-09-16 09:36:46.989416 : Epoch  5, Batch     86, Loss  0.865084, Average Loss  0.871190, Time  0.239903
2021-09-16 09:36:49.572900 : Epoch  5, Batch     87, Loss  0.836175, Average Loss  0.870998, Time  0.240253
2021-09-16 09:36:52.152567 : Epoch  5, Batch     88, Loss  0.882444, Average Loss  0.871016, Time  0.239966
2021-09-16 09:36:54.727161 : Epoch  5, Batch     89, Loss  0.885270, Average Loss  0.871099, Time  0.240226
2021-09-16 09:36:57.299558 : Epoch  5, Batch     90, Loss  0.886212, Average Loss  0.871184, Time  0.240202
2021-09-16 09:36:59.884216 : Epoch  5, Batch     91, Loss  0.878802, Average Loss  0.871134, Time  0.241452
2021-09-16 09:37:02.469726 : Epoch  5, Batch     92, Loss  0.881637, Average Loss  0.871207, Time  0.241414
2021-09-16 09:37:05.057938 : Epoch  5, Batch     93, Loss  0.871692, Average Loss  0.871090, Time  0.241082
2021-09-16 09:37:07.642511 : Epoch  5, Batch     94, Loss  0.882365, Average Loss  0.871134, Time  0.240946
2021-09-16 09:37:10.222897 : Epoch  5, Batch     95, Loss  0.895857, Average Loss  0.871251, Time  0.240579
2021-09-16 09:37:12.801535 : Epoch  5, Batch     96, Loss  0.866961, Average Loss  0.871284, Time  0.240052
2021-09-16 09:37:15.384993 : Epoch  5, Batch     97, Loss  0.857859, Average Loss  0.871238, Time  0.240159
2021-09-16 09:37:17.966973 : Epoch  5, Batch     98, Loss  0.861398, Average Loss  0.871217, Time  0.240509
2021-09-16 09:37:20.539167 : Epoch  5, Batch     99, Loss  0.864695, Average Loss  0.871255, Time  0.239983
2021-09-16 09:37:23.119686 : Epoch  5, Batch    100, Loss  0.858688, Average Loss  0.871210, Time  0.240420
2021-09-16 09:37:25.700343 : Epoch  5, Batch    101, Loss  0.880866, Average Loss  0.871309, Time  0.242668
2021-09-16 09:37:28.282933 : Epoch  5, Batch    102, Loss  0.860655, Average Loss  0.871350, Time  0.240177
2021-09-16 09:37:30.864921 : Epoch  5, Batch    103, Loss  0.856632, Average Loss  0.871266, Time  0.240867
2021-09-16 09:37:33.439908 : Epoch  5, Batch    104, Loss  0.869145, Average Loss  0.871267, Time  0.240634
2021-09-16 09:37:36.016442 : Epoch  5, Batch    105, Loss  0.875894, Average Loss  0.871391, Time  0.240911
2021-09-16 09:37:38.592948 : Epoch  5, Batch    106, Loss  0.851255, Average Loss  0.871227, Time  0.240659
2021-09-16 09:37:41.169613 : Epoch  5, Batch    107, Loss  0.850822, Average Loss  0.871152, Time  0.241405
2021-09-16 09:37:43.746821 : Epoch  5, Batch    108, Loss  0.870739, Average Loss  0.871085, Time  0.240062
2021-09-16 09:37:46.329434 : Epoch  5, Batch    109, Loss  0.879184, Average Loss  0.871137, Time  0.239652
2021-09-16 09:37:48.914103 : Epoch  5, Batch    110, Loss  0.863674, Average Loss  0.871083, Time  0.241100
2021-09-16 09:37:51.493104 : Epoch  5, Batch    111, Loss  0.864904, Average Loss  0.871070, Time  0.240419
2021-09-16 09:37:54.078063 : Epoch  5, Batch    112, Loss  0.848784, Average Loss  0.870958, Time  0.243228
2021-09-16 09:37:56.649558 : Epoch  5, Batch    113, Loss  0.896986, Average Loss  0.871121, Time  0.240083
2021-09-16 09:37:59.228013 : Epoch  5, Batch    114, Loss  0.879428, Average Loss  0.871238, Time  0.240379
2021-09-16 09:38:01.827251 : Epoch  5, Batch    115, Loss  0.873592, Average Loss  0.871170, Time  0.240235
2021-09-16 09:38:04.409538 : Epoch  5, Batch    116, Loss  0.879988, Average Loss  0.871066, Time  0.240798
2021-09-16 09:38:06.991716 : Epoch  5, Batch    117, Loss  0.900577, Average Loss  0.871158, Time  0.240149
2021-09-16 09:38:09.574089 : Epoch  5, Batch    118, Loss  0.874799, Average Loss  0.871150, Time  0.241296
2021-09-16 09:38:12.150891 : Epoch  5, Batch    119, Loss  0.859508, Average Loss  0.871179, Time  0.239917
2021-09-16 09:38:14.731822 : Epoch  5, Batch    120, Loss  0.886179, Average Loss  0.871257, Time  0.240288
2021-09-16 09:38:17.314009 : Epoch  5, Batch    121, Loss  0.881204, Average Loss  0.871272, Time  0.240364
2021-09-16 09:38:19.894044 : Epoch  5, Batch    122, Loss  0.877032, Average Loss  0.871306, Time  0.240819
2021-09-16 09:38:22.471688 : Epoch  5, Batch    123, Loss  0.868350, Average Loss  0.871194, Time  0.239761
2021-09-16 09:38:25.044211 : Epoch  5, Batch    124, Loss  0.865674, Average Loss  0.871155, Time  0.240338
2021-09-16 09:38:27.618579 : Epoch  5, Batch    125, Loss  0.854957, Average Loss  0.871107, Time  0.240490
2021-09-16 09:38:30.192043 : Epoch  5, Batch    126, Loss  0.859780, Average Loss  0.871135, Time  0.240559
2021-09-16 09:38:32.767855 : Epoch  5, Batch    127, Loss  0.859127, Average Loss  0.871004, Time  0.240400
2021-09-16 09:38:35.346924 : Epoch  5, Batch    128, Loss  0.847832, Average Loss  0.870985, Time  0.240394
2021-09-16 09:38:37.929031 : Epoch  5, Batch    129, Loss  0.865074, Average Loss  0.870926, Time  0.240035
2021-09-16 09:38:40.527273 : Epoch  5, Batch    130, Loss  0.871983, Average Loss  0.870960, Time  0.239982
2021-09-16 09:38:43.102825 : Epoch  5, Batch    131, Loss  0.859860, Average Loss  0.870831, Time  0.241233
2021-09-16 09:38:44.657643 : CheckPoint: Validation Loss  0.00029723, Best Loss  0.00029295
2021-09-16 09:38:45.675101 : Epoch  5, Batch    132, Loss  0.876270, Average Loss  0.870838, Time  0.240438
2021-09-16 09:38:47.696285 : Epoch  7, Batch    165, Loss  0.872123, Average Loss  0.868719, Time  0.267559
2021-09-16 09:38:48.253430 : Epoch  5, Batch    133, Loss  0.854393, Average Loss  0.870868, Time  0.242548
2021-09-16 09:38:50.727206 : Epoch  7, Batch    166, Loss  0.862699, Average Loss  0.868783, Time  0.265725
2021-09-16 09:38:50.839420 : Epoch  5, Batch    134, Loss  0.890437, Average Loss  0.870884, Time  0.240063
2021-09-16 09:38:53.399624 : Epoch  5, Batch    135, Loss  0.852662, Average Loss  0.870758, Time  0.241766
2021-09-16 09:38:53.764985 : Epoch  7, Batch    167, Loss  0.875800, Average Loss  0.868872, Time  0.266843
2021-09-16 09:38:55.979264 : Epoch  5, Batch    136, Loss  0.876868, Average Loss  0.870909, Time  0.241148
2021-09-16 09:38:56.868546 : Epoch  7, Batch    168, Loss  0.866687, Average Loss  0.868832, Time  0.266107
2021-09-16 09:38:58.546964 : Epoch  5, Batch    137, Loss  0.868778, Average Loss  0.870763, Time  0.240011
2021-09-16 09:38:59.881894 : Epoch  7, Batch    169, Loss  0.871567, Average Loss  0.868800, Time  0.265631
2021-09-16 09:39:01.135397 : Epoch  5, Batch    138, Loss  0.858442, Average Loss  0.870712, Time  0.239962
2021-09-16 09:39:02.925906 : Epoch  7, Batch    170, Loss  0.888423, Average Loss  0.868967, Time  0.266516
2021-09-16 09:39:03.720908 : Epoch  5, Batch    139, Loss  0.883353, Average Loss  0.870694, Time  0.241768
2021-09-16 09:39:05.982637 : Epoch  7, Batch    171, Loss  0.884634, Average Loss  0.869050, Time  0.265390
2021-09-16 09:39:06.296172 : Epoch  5, Batch    140, Loss  0.862746, Average Loss  0.870625, Time  0.241529
2021-09-16 09:39:08.862933 : Epoch  5, Batch    141, Loss  0.884766, Average Loss  0.870769, Time  0.240996
2021-09-16 09:39:08.994393 : Epoch  7, Batch    172, Loss  0.874128, Average Loss  0.869052, Time  0.265616
2021-09-16 09:39:11.448196 : Epoch  5, Batch    142, Loss  0.870111, Average Loss  0.870737, Time  0.240802
2021-09-16 09:39:12.000148 : Epoch  7, Batch    173, Loss  0.870631, Average Loss  0.869054, Time  0.265771
2021-09-16 09:39:14.023423 : Epoch  5, Batch    143, Loss  0.883174, Average Loss  0.870675, Time  0.239927
2021-09-16 09:39:15.015754 : Epoch  7, Batch    174, Loss  0.883977, Average Loss  0.869119, Time  0.265319
2021-09-16 09:39:16.600815 : Epoch  5, Batch    144, Loss  0.873182, Average Loss  0.870634, Time  0.240783
2021-09-16 09:39:18.069926 : Epoch  7, Batch    175, Loss  0.885300, Average Loss  0.869255, Time  0.266003
2021-09-16 09:39:19.193590 : Epoch  5, Batch    145, Loss  0.857595, Average Loss  0.870598, Time  0.240445
2021-09-16 09:39:21.082406 : Epoch  7, Batch    176, Loss  0.885508, Average Loss  0.869364, Time  0.265325
2021-09-16 09:39:21.771930 : Epoch  5, Batch    146, Loss  0.874267, Average Loss  0.870595, Time  0.240026
2021-09-16 09:39:24.082310 : Epoch  7, Batch    177, Loss  0.852140, Average Loss  0.869284, Time  0.265429
2021-09-16 09:39:24.346582 : Epoch  5, Batch    147, Loss  0.864861, Average Loss  0.870485, Time  0.241177
2021-09-16 09:39:26.911101 : Epoch  5, Batch    148, Loss  0.876203, Average Loss  0.870467, Time  0.240099
2021-09-16 09:39:27.098898 : Epoch  7, Batch    178, Loss  0.888882, Average Loss  0.869380, Time  0.265706
2021-09-16 09:39:29.484855 : Epoch  5, Batch    149, Loss  0.868070, Average Loss  0.870382, Time  0.240149
2021-09-16 09:39:30.105680 : Epoch  7, Batch    179, Loss  0.870746, Average Loss  0.869330, Time  0.278940
2021-09-16 09:39:32.066751 : Epoch  5, Batch    150, Loss  0.886094, Average Loss  0.870436, Time  0.240575
2021-09-16 09:39:33.134573 : Epoch  7, Batch    180, Loss  0.883533, Average Loss  0.869404, Time  0.267562
2021-09-16 09:39:34.654556 : Epoch  5, Batch    151, Loss  0.845651, Average Loss  0.870361, Time  0.239799
2021-09-16 09:39:36.187380 : Epoch  7, Batch    181, Loss  0.851249, Average Loss  0.869333, Time  0.266756
2021-09-16 09:39:37.234256 : Epoch  5, Batch    152, Loss  0.851514, Average Loss  0.870219, Time  0.239881
2021-09-16 09:39:39.191801 : Epoch  7, Batch    182, Loss  0.881681, Average Loss  0.869425, Time  0.265195
2021-09-16 09:39:39.813435 : Epoch  5, Batch    153, Loss  0.866875, Average Loss  0.870253, Time  0.239828
2021-09-16 09:39:42.214458 : Epoch  7, Batch    183, Loss  0.886484, Average Loss  0.869498, Time  0.266046
2021-09-16 09:39:42.393037 : Epoch  5, Batch    154, Loss  0.867700, Average Loss  0.870267, Time  0.240584
2021-09-16 09:39:44.960951 : Epoch  5, Batch    155, Loss  0.885000, Average Loss  0.870399, Time  0.240616
2021-09-16 09:39:45.228191 : Epoch  7, Batch    184, Loss  0.859249, Average Loss  0.869526, Time  0.266083
2021-09-16 09:39:47.532076 : Epoch  5, Batch    156, Loss  0.867178, Average Loss  0.870491, Time  0.240528
2021-09-16 09:39:48.229793 : Epoch  7, Batch    185, Loss  0.878330, Average Loss  0.869527, Time  0.266045
2021-09-16 09:39:50.121563 : Epoch  5, Batch    157, Loss  0.872093, Average Loss  0.870556, Time  0.239763
2021-09-16 09:39:51.241947 : Epoch  7, Batch    186, Loss  0.868828, Average Loss  0.869483, Time  0.266084
2021-09-16 09:39:52.696919 : Epoch  5, Batch    158, Loss  0.859388, Average Loss  0.870526, Time  0.240366
2021-09-16 09:39:54.247707 : Epoch  7, Batch    187, Loss  0.861825, Average Loss  0.869451, Time  0.265804
2021-09-16 09:39:55.278009 : Epoch  5, Batch    159, Loss  0.856056, Average Loss  0.870462, Time  0.240422
2021-09-16 09:39:57.260622 : Epoch  7, Batch    188, Loss  0.868748, Average Loss  0.869474, Time  0.266200
2021-09-16 09:39:57.858038 : Epoch  5, Batch    160, Loss  0.879686, Average Loss  0.870404, Time  0.240182
2021-09-16 09:40:00.280031 : Epoch  7, Batch    189, Loss  0.878425, Average Loss  0.869459, Time  0.266354
2021-09-16 09:40:00.440946 : Epoch  5, Batch    161, Loss  0.874679, Average Loss  0.870496, Time  0.239840
2021-09-16 09:40:03.011427 : Epoch  5, Batch    162, Loss  0.886806, Average Loss  0.870656, Time  0.239890
2021-09-16 09:40:03.314365 : Epoch  7, Batch    190, Loss  0.887974, Average Loss  0.869402, Time  0.265472
2021-09-16 09:40:05.594810 : Epoch  5, Batch    163, Loss  0.876646, Average Loss  0.870576, Time  0.242001
2021-09-16 09:40:06.338829 : Epoch  7, Batch    191, Loss  0.882164, Average Loss  0.869469, Time  0.266078
2021-09-16 09:40:08.177851 : Epoch  5, Batch    164, Loss  0.879194, Average Loss  0.870738, Time  0.240676
2021-09-16 09:40:09.355040 : Epoch  7, Batch    192, Loss  0.881016, Average Loss  0.869644, Time  0.265553
2021-09-16 09:40:10.763893 : Epoch  5, Batch    165, Loss  0.871157, Average Loss  0.870657, Time  0.241678
2021-09-16 09:40:12.383802 : Epoch  7, Batch    193, Loss  0.873497, Average Loss  0.869644, Time  0.266518
2021-09-16 09:40:13.340262 : Epoch  5, Batch    166, Loss  0.846974, Average Loss  0.870570, Time  0.240865
2021-09-16 09:40:15.422125 : Epoch  7, Batch    194, Loss  0.863469, Average Loss  0.869660, Time  0.277497
2021-09-16 09:40:15.922414 : Epoch  5, Batch    167, Loss  0.878349, Average Loss  0.870615, Time  0.240353
2021-09-16 09:40:18.433793 : Epoch  7, Batch    195, Loss  0.888295, Average Loss  0.869803, Time  0.265842
2021-09-16 09:40:18.504853 : Epoch  5, Batch    168, Loss  0.889360, Average Loss  0.870760, Time  0.240848
2021-09-16 09:40:21.084452 : Epoch  5, Batch    169, Loss  0.862853, Average Loss  0.870662, Time  0.240692
2021-09-16 09:40:21.436058 : Epoch  7, Batch    196, Loss  0.878544, Average Loss  0.869779, Time  0.265430
2021-09-16 09:40:23.666406 : Epoch  5, Batch    170, Loss  0.870899, Average Loss  0.870641, Time  0.240000
2021-09-16 09:40:24.439812 : Epoch  7, Batch    197, Loss  0.850996, Average Loss  0.869761, Time  0.266054
2021-09-16 09:40:26.245554 : Epoch  5, Batch    171, Loss  0.845953, Average Loss  0.870505, Time  0.240812
2021-09-16 09:40:27.442546 : Epoch  7, Batch    198, Loss  0.870635, Average Loss  0.869847, Time  0.265216
2021-09-16 09:40:28.832945 : Epoch  5, Batch    172, Loss  0.861762, Average Loss  0.870435, Time  0.241132
2021-09-16 09:40:30.442887 : Epoch  7, Batch    199, Loss  0.863553, Average Loss  0.869757, Time  0.266293
2021-09-16 09:40:31.410831 : Epoch  5, Batch    173, Loss  0.859745, Average Loss  0.870463, Time  0.240048
2021-09-16 09:40:33.444525 : Epoch  7, Batch    200, Loss  0.856370, Average Loss  0.869686, Time  0.264993
2021-09-16 09:40:33.999978 : Epoch  5, Batch    174, Loss  0.878643, Average Loss  0.870514, Time  0.240633
2021-09-16 09:40:36.504037 : Epoch  7, Batch    201, Loss  0.880944, Average Loss  0.869806, Time  0.265216
2021-09-16 09:40:36.593219 : Epoch  5, Batch    175, Loss  0.860981, Average Loss  0.870473, Time  0.240608
2021-09-16 09:40:39.168526 : Epoch  5, Batch    176, Loss  0.865885, Average Loss  0.870416, Time  0.241162
2021-09-16 09:40:39.504190 : Epoch  7, Batch    202, Loss  0.874107, Average Loss  0.869792, Time  0.264015
2021-09-16 09:40:42.488384 : Epoch  7, Batch    203, Loss  0.863472, Average Loss  0.869761, Time  0.265143
2021-09-16 09:40:45.515474 : Epoch  7, Batch    204, Loss  0.870347, Average Loss  0.869849, Time  0.266058
2021-09-16 09:40:48.521466 : Epoch  7, Batch    205, Loss  0.902220, Average Loss  0.870049, Time  0.266253
2021-09-16 09:40:51.526730 : Epoch  7, Batch    206, Loss  0.879813, Average Loss  0.870007, Time  0.265757
2021-09-16 09:40:54.531155 : Epoch  7, Batch    207, Loss  0.861850, Average Loss  0.869993, Time  0.266091
2021-09-16 09:40:57.569374 : Epoch  7, Batch    208, Loss  0.867882, Average Loss  0.869882, Time  0.265570
2021-09-16 09:41:00.594062 : Epoch  7, Batch    209, Loss  0.843672, Average Loss  0.869783, Time  0.277922
2021-09-16 09:41:03.642715 : Epoch  7, Batch    210, Loss  0.874828, Average Loss  0.869845, Time  0.266426
2021-09-16 09:41:06.680471 : Epoch  7, Batch    211, Loss  0.843697, Average Loss  0.869627, Time  0.266100
2021-09-16 09:41:09.707457 : Epoch  7, Batch    212, Loss  0.853490, Average Loss  0.869535, Time  0.266119
2021-09-16 09:41:12.711939 : Epoch  7, Batch    213, Loss  0.863624, Average Loss  0.869529, Time  0.265675
2021-09-16 09:41:15.787187 : Epoch  7, Batch    214, Loss  0.868284, Average Loss  0.869484, Time  0.267349
2021-09-16 09:41:18.800609 : Epoch  7, Batch    215, Loss  0.859311, Average Loss  0.869332, Time  0.265800
2021-09-16 09:41:21.816883 : Epoch  7, Batch    216, Loss  0.897514, Average Loss  0.869484, Time  0.264765
2021-09-16 09:41:24.817826 : Epoch  7, Batch    217, Loss  0.864570, Average Loss  0.869399, Time  0.264803
2021-09-16 09:41:27.770302 : Epoch  7, Batch    218, Loss  0.879564, Average Loss  0.869417, Time  0.265437
2021-09-16 09:41:30.808002 : Epoch  7, Batch    219, Loss  0.875218, Average Loss  0.869415, Time  0.263793
2021-09-16 09:41:33.843205 : Epoch  7, Batch    220, Loss  0.871184, Average Loss  0.869328, Time  0.265372
2021-09-16 09:41:36.869333 : Epoch  7, Batch    221, Loss  0.855434, Average Loss  0.869248, Time  0.264896
2021-09-16 09:41:39.902508 : Epoch  7, Batch    222, Loss  0.859244, Average Loss  0.869175, Time  0.265763
2021-09-16 09:41:42.910863 : Epoch  7, Batch    223, Loss  0.883286, Average Loss  0.869255, Time  0.266143
2021-09-16 09:41:45.973062 : Epoch  7, Batch    224, Loss  0.868733, Average Loss  0.869191, Time  0.280066
2021-09-16 09:41:49.006420 : Epoch  7, Batch    225, Loss  0.861694, Average Loss  0.869198, Time  0.268116
2021-09-16 09:41:52.014296 : Epoch  7, Batch    226, Loss  0.866697, Average Loss  0.869252, Time  0.266303
2021-09-16 09:41:55.025656 : Epoch  7, Batch    227, Loss  0.864409, Average Loss  0.869067, Time  0.266306
2021-09-16 09:41:58.092352 : Epoch  7, Batch    228, Loss  0.871109, Average Loss  0.869022, Time  0.266143
2021-09-16 09:42:01.135244 : Epoch  7, Batch    229, Loss  0.873726, Average Loss  0.869064, Time  0.266157
2021-09-16 09:42:04.178413 : Epoch  7, Batch    230, Loss  0.853950, Average Loss  0.868957, Time  0.265429
2021-09-16 09:42:07.216036 : Epoch  7, Batch    231, Loss  0.864709, Average Loss  0.868944, Time  0.265128
2021-09-16 09:42:10.255724 : Epoch  7, Batch    232, Loss  0.854989, Average Loss  0.868847, Time  0.266163
2021-09-16 09:42:13.291411 : Epoch  7, Batch    233, Loss  0.857054, Average Loss  0.868682, Time  0.266433
2021-09-16 09:42:16.341266 : Epoch  7, Batch    234, Loss  0.878265, Average Loss  0.868696, Time  0.265824
2021-09-16 09:42:19.374052 : Epoch  7, Batch    235, Loss  0.860573, Average Loss  0.868676, Time  0.265501
2021-09-16 09:42:22.404539 : Epoch  7, Batch    236, Loss  0.866494, Average Loss  0.868595, Time  0.266470
2021-09-16 09:42:25.443573 : Epoch  7, Batch    237, Loss  0.876130, Average Loss  0.868614, Time  0.265344
2021-09-16 09:42:28.450473 : Epoch  7, Batch    238, Loss  0.873066, Average Loss  0.868637, Time  0.265835
2021-09-16 09:42:31.485971 : Epoch  7, Batch    239, Loss  0.869011, Average Loss  0.868675, Time  0.277649
2021-09-16 09:42:34.529254 : Epoch  7, Batch    240, Loss  0.889903, Average Loss  0.868773, Time  0.266124
2021-09-16 09:42:37.535498 : Epoch  7, Batch    241, Loss  0.864396, Average Loss  0.868666, Time  0.265999
2021-09-16 09:42:40.552689 : Epoch  7, Batch    242, Loss  0.878051, Average Loss  0.868725, Time  0.265012
2021-09-16 09:42:43.553784 : Epoch  7, Batch    243, Loss  0.892449, Average Loss  0.868876, Time  0.265397
2021-09-16 09:42:46.574746 : Epoch  7, Batch    244, Loss  0.881908, Average Loss  0.868992, Time  0.266187
2021-09-16 09:42:49.584433 : Epoch  7, Batch    245, Loss  0.884530, Average Loss  0.869098, Time  0.267395
2021-09-16 09:42:52.626149 : Epoch  7, Batch    246, Loss  0.874892, Average Loss  0.869130, Time  0.266009
2021-09-16 09:42:55.662383 : Epoch  7, Batch    247, Loss  0.870331, Average Loss  0.869176, Time  0.266144
2021-09-16 09:42:58.676161 : Epoch  7, Batch    248, Loss  0.870337, Average Loss  0.869314, Time  0.266109
2021-09-16 09:43:01.686399 : Epoch  7, Batch    249, Loss  0.859836, Average Loss  0.869319, Time  0.265606
2021-09-16 09:43:04.710117 : Epoch  7, Batch    250, Loss  0.869960, Average Loss  0.869279, Time  0.265562
2021-09-16 09:43:07.718712 : Epoch  7, Batch    251, Loss  0.858129, Average Loss  0.869327, Time  0.264976
2021-09-16 09:43:10.732342 : Epoch  7, Batch    252, Loss  0.860704, Average Loss  0.869394, Time  0.265766
2021-09-16 09:43:13.735482 : Epoch  7, Batch    253, Loss  0.847926, Average Loss  0.869390, Time  0.264234
2021-09-16 09:43:16.804480 : Epoch  7, Batch    254, Loss  0.864981, Average Loss  0.869337, Time  0.276286
2021-09-16 09:43:19.814669 : Epoch  7, Batch    255, Loss  0.856133, Average Loss  0.869269, Time  0.266260
2021-09-16 09:43:22.806838 : Epoch  7, Batch    256, Loss  0.854066, Average Loss  0.869199, Time  0.264816
2021-09-16 09:43:25.816671 : Epoch  7, Batch    257, Loss  0.859323, Average Loss  0.869264, Time  0.266844
2021-09-16 09:43:28.820462 : Epoch  7, Batch    258, Loss  0.881990, Average Loss  0.869256, Time  0.265559
2021-09-16 09:43:31.798299 : Epoch  7, Batch    259, Loss  0.856530, Average Loss  0.869247, Time  0.264941
2021-09-16 09:43:34.799467 : Epoch  7, Batch    260, Loss  0.853534, Average Loss  0.869172, Time  0.265698
2021-09-16 09:43:37.830515 : Epoch  7, Batch    261, Loss  0.891397, Average Loss  0.869360, Time  0.265916
2021-09-16 09:43:40.828773 : Epoch  7, Batch    262, Loss  0.853930, Average Loss  0.869310, Time  0.266419
2021-09-16 09:43:43.851642 : Epoch  7, Batch    263, Loss  0.878716, Average Loss  0.869370, Time  0.265432
2021-09-16 09:43:46.874876 : Epoch  7, Batch    264, Loss  0.869872, Average Loss  0.869356, Time  0.266004
2021-09-16 09:44:42.327759 : CheckPoint: Validation Loss  0.00030477, Best Loss  0.00029226
2021-09-16 09:44:44.926136 : Epoch  5, Batch    177, Loss  0.882477, Average Loss  0.870477, Time  0.242550
2021-09-16 09:44:47.530107 : Epoch  5, Batch    178, Loss  0.874672, Average Loss  0.870524, Time  0.241398
2021-09-16 09:44:50.133859 : Epoch  5, Batch    179, Loss  0.875484, Average Loss  0.870504, Time  0.245162
2021-09-16 09:44:52.722694 : Epoch  5, Batch    180, Loss  0.881295, Average Loss  0.870602, Time  0.240082
2021-09-16 09:44:55.315839 : Epoch  5, Batch    181, Loss  0.896877, Average Loss  0.870720, Time  0.240576
2021-09-16 09:44:57.903419 : Epoch  5, Batch    182, Loss  0.889999, Average Loss  0.870860, Time  0.240126
2021-09-16 09:45:00.494865 : Epoch  5, Batch    183, Loss  0.884853, Average Loss  0.871027, Time  0.240377
2021-09-16 09:45:03.088235 : Epoch  5, Batch    184, Loss  0.859937, Average Loss  0.870934, Time  0.240877
2021-09-16 09:45:05.673112 : Epoch  5, Batch    185, Loss  0.859203, Average Loss  0.870858, Time  0.240009
2021-09-16 09:45:08.251275 : Epoch  5, Batch    186, Loss  0.865098, Average Loss  0.870740, Time  0.240000
2021-09-16 09:45:10.846051 : Epoch  5, Batch    187, Loss  0.872305, Average Loss  0.870730, Time  0.240358
2021-09-16 09:45:13.434319 : Epoch  5, Batch    188, Loss  0.872033, Average Loss  0.870756, Time  0.240427
2021-09-16 09:45:16.026021 : Epoch  5, Batch    189, Loss  0.882351, Average Loss  0.870762, Time  0.240785
2021-09-16 09:45:18.629110 : Epoch  5, Batch    190, Loss  0.867186, Average Loss  0.870706, Time  0.247182
2021-09-16 09:45:21.228163 : Epoch  5, Batch    191, Loss  0.861067, Average Loss  0.870680, Time  0.239955
2021-09-16 09:45:23.818630 : Epoch  5, Batch    192, Loss  0.891014, Average Loss  0.870785, Time  0.240485
2021-09-16 09:45:26.419999 : Epoch  5, Batch    193, Loss  0.872016, Average Loss  0.870809, Time  0.240347
2021-09-16 09:45:29.007285 : Epoch  5, Batch    194, Loss  0.847679, Average Loss  0.870644, Time  0.240247
2021-09-16 09:45:31.601184 : Epoch  5, Batch    195, Loss  0.892058, Average Loss  0.870845, Time  0.240103
2021-09-16 09:45:34.191588 : Epoch  5, Batch    196, Loss  0.872338, Average Loss  0.870879, Time  0.240398
2021-09-16 09:45:36.779920 : Epoch  5, Batch    197, Loss  0.863552, Average Loss  0.870889, Time  0.240100
2021-09-16 09:45:39.368478 : Epoch  5, Batch    198, Loss  0.878044, Average Loss  0.870794, Time  0.240902
2021-09-16 09:45:41.961551 : Epoch  5, Batch    199, Loss  0.869750, Average Loss  0.870702, Time  0.240726
2021-09-16 09:45:44.557825 : Epoch  5, Batch    200, Loss  0.855343, Average Loss  0.870671, Time  0.239953
2021-09-16 09:45:47.144086 : Epoch  5, Batch    201, Loss  0.884143, Average Loss  0.870747, Time  0.241128
2021-09-16 09:45:49.723116 : Epoch  5, Batch    202, Loss  0.856704, Average Loss  0.870637, Time  0.240133
2021-09-16 09:45:52.316773 : Epoch  5, Batch    203, Loss  0.857213, Average Loss  0.870594, Time  0.240264
2021-09-16 09:45:54.918196 : Epoch  5, Batch    204, Loss  0.870790, Average Loss  0.870586, Time  0.240350
2021-09-16 09:45:57.525094 : Epoch  5, Batch    205, Loss  0.874523, Average Loss  0.870566, Time  0.240272
2021-09-16 09:46:00.126669 : Epoch  5, Batch    206, Loss  0.880902, Average Loss  0.870773, Time  0.240376
2021-09-16 09:46:02.719794 : Epoch  5, Batch    207, Loss  0.860414, Average Loss  0.870749, Time  0.240813
2021-09-16 09:46:05.313205 : Epoch  5, Batch    208, Loss  0.861604, Average Loss  0.870716, Time  0.240012
2021-09-16 09:46:07.901250 : Epoch  5, Batch    209, Loss  0.864753, Average Loss  0.870780, Time  0.240026
2021-09-16 09:46:10.488553 : Epoch  5, Batch    210, Loss  0.866311, Average Loss  0.870813, Time  0.242051
2021-09-16 09:46:13.079197 : Epoch  5, Batch    211, Loss  0.869826, Average Loss  0.870847, Time  0.241356
2021-09-16 09:46:15.670832 : Epoch  5, Batch    212, Loss  0.877188, Average Loss  0.870818, Time  0.240812
2021-09-16 09:46:18.256475 : Epoch  5, Batch    213, Loss  0.870278, Average Loss  0.870835, Time  0.240136
2021-09-16 09:46:20.853033 : Epoch  5, Batch    214, Loss  0.856383, Average Loss  0.870790, Time  0.240568
2021-09-16 09:46:23.445125 : Epoch  5, Batch    215, Loss  0.888598, Average Loss  0.870760, Time  0.240699
2021-09-16 09:46:26.028882 : Epoch  5, Batch    216, Loss  0.860598, Average Loss  0.870710, Time  0.239855
2021-09-16 09:46:28.616073 : Epoch  5, Batch    217, Loss  0.874936, Average Loss  0.870735, Time  0.240238
2021-09-16 09:46:31.213990 : Epoch  5, Batch    218, Loss  0.875830, Average Loss  0.870779, Time  0.242508
2021-09-16 09:46:33.804564 : Epoch  5, Batch    219, Loss  0.864447, Average Loss  0.870656, Time  0.240205
2021-09-16 09:46:36.390383 : Epoch  5, Batch    220, Loss  0.885583, Average Loss  0.870750, Time  0.240558
2021-09-16 09:46:38.999882 : Epoch  5, Batch    221, Loss  0.871336, Average Loss  0.870839, Time  0.240337
2021-09-16 09:46:41.590133 : Epoch  5, Batch    222, Loss  0.861855, Average Loss  0.870793, Time  0.240878
2021-09-16 09:46:44.183097 : Epoch  5, Batch    223, Loss  0.877735, Average Loss  0.870722, Time  0.240284
2021-09-16 09:46:46.775247 : Epoch  5, Batch    224, Loss  0.850921, Average Loss  0.870666, Time  0.240889
2021-09-16 09:46:49.360678 : Epoch  5, Batch    225, Loss  0.874842, Average Loss  0.870694, Time  0.240662
2021-09-16 09:46:51.957041 : Epoch  5, Batch    226, Loss  0.880839, Average Loss  0.870751, Time  0.240571
2021-09-16 09:46:54.550417 : Epoch  5, Batch    227, Loss  0.883823, Average Loss  0.870767, Time  0.241571
2021-09-16 09:46:57.159547 : Epoch  5, Batch    228, Loss  0.866261, Average Loss  0.870747, Time  0.241445
2021-09-16 09:46:59.744667 : Epoch  5, Batch    229, Loss  0.873788, Average Loss  0.870643, Time  0.240083
2021-09-16 09:47:02.331602 : Epoch  5, Batch    230, Loss  0.883178, Average Loss  0.870742, Time  0.240070
2021-09-16 09:47:04.918078 : Epoch  5, Batch    231, Loss  0.871780, Average Loss  0.870720, Time  0.240202
2021-09-16 09:47:07.510911 : Epoch  5, Batch    232, Loss  0.860712, Average Loss  0.870739, Time  0.241023
2021-09-16 09:47:10.104575 : Epoch  5, Batch    233, Loss  0.881188, Average Loss  0.870789, Time  0.241358
2021-09-16 09:47:12.700853 : Epoch  5, Batch    234, Loss  0.907974, Average Loss  0.870936, Time  0.240218
2021-09-16 09:47:15.294004 : Epoch  5, Batch    235, Loss  0.857918, Average Loss  0.870855, Time  0.241018
2021-09-16 09:47:17.881438 : Epoch  5, Batch    236, Loss  0.848135, Average Loss  0.870818, Time  0.242136
2021-09-16 09:47:20.465936 : Epoch  5, Batch    237, Loss  0.869014, Average Loss  0.870767, Time  0.240825
2021-09-16 09:47:23.056915 : Epoch  5, Batch    238, Loss  0.860926, Average Loss  0.870680, Time  0.240597
2021-09-16 09:47:25.632808 : Epoch  5, Batch    239, Loss  0.842729, Average Loss  0.870547, Time  0.240120
2021-09-16 09:47:28.225059 : Epoch  5, Batch    240, Loss  0.878487, Average Loss  0.870641, Time  0.240228
2021-09-16 09:47:30.807409 : Epoch  5, Batch    241, Loss  0.873554, Average Loss  0.870513, Time  0.241192
2021-09-16 09:47:33.393913 : Epoch  5, Batch    242, Loss  0.863825, Average Loss  0.870383, Time  0.240476
2021-09-16 09:47:35.979996 : Epoch  5, Batch    243, Loss  0.880086, Average Loss  0.870476, Time  0.240222
2021-09-16 09:47:38.561813 : Epoch  5, Batch    244, Loss  0.883316, Average Loss  0.870398, Time  0.241596
2021-09-16 09:47:41.164916 : Epoch  5, Batch    245, Loss  0.876083, Average Loss  0.870398, Time  0.242006
2021-09-16 09:47:43.746868 : Epoch  5, Batch    246, Loss  0.880542, Average Loss  0.870357, Time  0.243232
2021-09-16 09:47:46.336991 : Epoch  5, Batch    247, Loss  0.863703, Average Loss  0.870233, Time  0.240378
2021-09-16 09:47:48.933076 : Epoch  5, Batch    248, Loss  0.856010, Average Loss  0.870178, Time  0.241398
2021-09-16 09:47:51.520966 : Epoch  5, Batch    249, Loss  0.865375, Average Loss  0.870208, Time  0.240238
2021-09-16 09:47:54.105990 : Epoch  5, Batch    250, Loss  0.869405, Average Loss  0.870158, Time  0.240360
2021-09-16 09:47:56.703437 : Epoch  5, Batch    251, Loss  0.872914, Average Loss  0.870299, Time  0.240825
2021-09-16 09:47:59.287656 : Epoch  5, Batch    252, Loss  0.870728, Average Loss  0.870416, Time  0.239818
2021-09-16 09:48:01.890041 : Epoch  5, Batch    253, Loss  0.884261, Average Loss  0.870462, Time  0.240295
2021-09-16 09:48:04.472827 : Epoch  5, Batch    254, Loss  0.874356, Average Loss  0.870528, Time  0.242107
2021-09-16 09:48:07.072065 : Epoch  5, Batch    255, Loss  0.876032, Average Loss  0.870617, Time  0.240232
2021-09-16 09:48:09.668112 : Epoch  5, Batch    256, Loss  0.852997, Average Loss  0.870545, Time  0.240371
2021-09-16 09:48:12.263149 : Epoch  5, Batch    257, Loss  0.871408, Average Loss  0.870562, Time  0.241753
2021-09-16 09:48:14.867919 : Epoch  5, Batch    258, Loss  0.878817, Average Loss  0.870564, Time  0.241415
2021-09-16 09:48:17.468941 : Epoch  5, Batch    259, Loss  0.873876, Average Loss  0.870522, Time  0.241194
2021-09-16 09:48:20.059837 : Epoch  5, Batch    260, Loss  0.871777, Average Loss  0.870486, Time  0.240516
2021-09-16 09:48:22.651077 : Epoch  5, Batch    261, Loss  0.848783, Average Loss  0.870399, Time  0.240259
2021-09-16 09:48:25.247814 : Epoch  5, Batch    262, Loss  0.840919, Average Loss  0.870142, Time  0.240909
2021-09-16 09:48:27.707237 : CheckPoint: Validation Loss  0.00030325, Best Loss  0.00029295
2021-09-16 09:48:27.841383 : Epoch  5, Batch    263, Loss  0.879953, Average Loss  0.870212, Time  0.243162
2021-09-16 09:48:30.421917 : Epoch  5, Batch    264, Loss  0.873392, Average Loss  0.870179, Time  0.239957
2021-09-16 09:48:30.742514 : Epoch  7, Batch    265, Loss  0.877709, Average Loss  0.869428, Time  0.267022
2021-09-16 09:48:33.006415 : Epoch  5, Batch    265, Loss  0.861361, Average Loss  0.870110, Time  0.239926
2021-09-16 09:48:33.706006 : Epoch  7, Batch    266, Loss  0.862308, Average Loss  0.869406, Time  0.265389
2021-09-16 09:48:35.599983 : Epoch  5, Batch    266, Loss  0.866035, Average Loss  0.870114, Time  0.240549
2021-09-16 09:48:36.715447 : Epoch  7, Batch    267, Loss  0.840336, Average Loss  0.869292, Time  0.265397
2021-09-16 09:48:38.189162 : Epoch  5, Batch    267, Loss  0.880246, Average Loss  0.870185, Time  0.240062
2021-09-16 09:48:39.694504 : Epoch  7, Batch    268, Loss  0.851833, Average Loss  0.869192, Time  0.277422
2021-09-16 09:48:40.783154 : Epoch  5, Batch    268, Loss  0.875641, Average Loss  0.870243, Time  0.240204
2021-09-16 09:48:42.705557 : Epoch  7, Batch    269, Loss  0.863793, Average Loss  0.869230, Time  0.265557
2021-09-16 09:48:43.381322 : Epoch  5, Batch    269, Loss  0.863012, Average Loss  0.870209, Time  0.243071
2021-09-16 09:48:45.716027 : Epoch  7, Batch    270, Loss  0.864692, Average Loss  0.869262, Time  0.265110
2021-09-16 09:48:45.969378 : Epoch  5, Batch    270, Loss  0.872512, Average Loss  0.870269, Time  0.241762
2021-09-16 09:48:48.550095 : Epoch  5, Batch    271, Loss  0.862381, Average Loss  0.870215, Time  0.246037
2021-09-16 09:48:48.697523 : Epoch  7, Batch    271, Loss  0.878935, Average Loss  0.869310, Time  0.265671
2021-09-16 09:48:51.133328 : Epoch  5, Batch    272, Loss  0.873498, Average Loss  0.870237, Time  0.240767
2021-09-16 09:48:51.685874 : Epoch  7, Batch    272, Loss  0.859374, Average Loss  0.869335, Time  0.266435
2021-09-16 09:48:53.728328 : Epoch  5, Batch    273, Loss  0.858124, Average Loss  0.870088, Time  0.240685
2021-09-16 09:48:54.684554 : Epoch  7, Batch    273, Loss  0.875816, Average Loss  0.869285, Time  0.266094
2021-09-16 09:48:56.317218 : Epoch  5, Batch    274, Loss  0.887353, Average Loss  0.870246, Time  0.241556
2021-09-16 09:48:57.574666 : Epoch  5, Batch    275, Loss  0.851800, Average Loss  0.870191, Time  0.143917
2021-09-16 09:48:57.681910 : Epoch  7, Batch    274, Loss  0.854430, Average Loss  0.869191, Time  0.265848
2021-09-16 09:49:00.163896 : Epoch  5, Batch    276, Loss  0.858841, Average Loss  0.870157, Time  0.240111
2021-09-16 09:49:00.649762 : Epoch  7, Batch    275, Loss  0.865946, Average Loss  0.869074, Time  0.265054
2021-09-16 09:49:03.625401 : Epoch  7, Batch    276, Loss  0.867893, Average Loss  0.868989, Time  0.265327
2021-09-16 09:49:06.618342 : Epoch  7, Batch    277, Loss  0.880423, Average Loss  0.869029, Time  0.266145
2021-09-16 09:49:09.604647 : Epoch  7, Batch    278, Loss  0.847581, Average Loss  0.868871, Time  0.265134
2021-09-16 09:49:12.586520 : Epoch  7, Batch    279, Loss  0.862154, Average Loss  0.868725, Time  0.266160
2021-09-16 09:49:15.573566 : Epoch  7, Batch    280, Loss  0.888214, Average Loss  0.868775, Time  0.265491
2021-09-16 09:49:18.561313 : Epoch  7, Batch    281, Loss  0.869528, Average Loss  0.868785, Time  0.265533
2021-09-16 09:49:21.534985 : Epoch  7, Batch    282, Loss  0.888191, Average Loss  0.868840, Time  0.266593
2021-09-16 09:49:24.538329 : Epoch  7, Batch    283, Loss  0.868899, Average Loss  0.868846, Time  0.272783
2021-09-16 09:49:27.560434 : Epoch  7, Batch    284, Loss  0.863881, Average Loss  0.868855, Time  0.266121
2021-09-16 09:49:30.572147 : Epoch  7, Batch    285, Loss  0.865452, Average Loss  0.868829, Time  0.266527
2021-09-16 09:49:33.565079 : Epoch  7, Batch    286, Loss  0.877883, Average Loss  0.868815, Time  0.266757
2021-09-16 09:49:36.541911 : Epoch  7, Batch    287, Loss  0.854641, Average Loss  0.868646, Time  0.265792
2021-09-16 09:49:39.550441 : Epoch  7, Batch    288, Loss  0.888916, Average Loss  0.868806, Time  0.266706
2021-09-16 09:49:42.533006 : Epoch  7, Batch    289, Loss  0.876593, Average Loss  0.868902, Time  0.265309
2021-09-16 09:49:45.520452 : Epoch  7, Batch    290, Loss  0.874459, Average Loss  0.868941, Time  0.267150
2021-09-16 09:49:48.514094 : Epoch  7, Batch    291, Loss  0.869771, Average Loss  0.868909, Time  0.265260
2021-09-16 09:49:51.506918 : Epoch  7, Batch    292, Loss  0.874095, Average Loss  0.868939, Time  0.265311
2021-09-16 09:49:54.501449 : Epoch  7, Batch    293, Loss  0.869514, Average Loss  0.868990, Time  0.266024
2021-09-16 09:49:57.507679 : Epoch  7, Batch    294, Loss  0.856163, Average Loss  0.868853, Time  0.265797
2021-09-16 09:50:00.549930 : Epoch  7, Batch    295, Loss  0.859612, Average Loss  0.868867, Time  0.265671
2021-09-16 09:50:03.530133 : Epoch  7, Batch    296, Loss  0.859666, Average Loss  0.868861, Time  0.265466
2021-09-16 09:50:06.524841 : Epoch  7, Batch    297, Loss  0.870967, Average Loss  0.868865, Time  0.265805
2021-09-16 09:50:09.535110 : Epoch  7, Batch    298, Loss  0.864997, Average Loss  0.868948, Time  0.279837
2021-09-16 09:50:12.532114 : Epoch  7, Batch    299, Loss  0.860158, Average Loss  0.868983, Time  0.266757
2021-09-16 09:50:15.541213 : Epoch  7, Batch    300, Loss  0.870983, Average Loss  0.869078, Time  0.265875
2021-09-16 09:50:18.556312 : Epoch  7, Batch    301, Loss  0.869059, Average Loss  0.869103, Time  0.265785
2021-09-16 09:50:21.542961 : Epoch  7, Batch    302, Loss  0.859582, Average Loss  0.868949, Time  0.264863
2021-09-16 09:50:24.535014 : Epoch  7, Batch    303, Loss  0.862576, Average Loss  0.868905, Time  0.266511
2021-09-16 09:50:27.527897 : Epoch  7, Batch    304, Loss  0.873353, Average Loss  0.868871, Time  0.266056
2021-09-16 09:50:30.553262 : Epoch  7, Batch    305, Loss  0.862513, Average Loss  0.868795, Time  0.268232
2021-09-16 09:50:33.563343 : Epoch  7, Batch    306, Loss  0.862127, Average Loss  0.868724, Time  0.267273
2021-09-16 09:50:36.557785 : Epoch  7, Batch    307, Loss  0.867785, Average Loss  0.868716, Time  0.265756
2021-09-16 09:50:39.538119 : Epoch  7, Batch    308, Loss  0.868748, Average Loss  0.868724, Time  0.265736
2021-09-16 09:50:42.525825 : Epoch  7, Batch    309, Loss  0.887298, Average Loss  0.868853, Time  0.266023
2021-09-16 09:50:45.526496 : Epoch  7, Batch    310, Loss  0.871891, Average Loss  0.868861, Time  0.265764
2021-09-16 09:50:48.516294 : Epoch  7, Batch    311, Loss  0.857162, Average Loss  0.868894, Time  0.265858
2021-09-16 09:50:51.505075 : Epoch  7, Batch    312, Loss  0.851654, Average Loss  0.868749, Time  0.266992
2021-09-16 09:50:54.517269 : Epoch  7, Batch    313, Loss  0.889585, Average Loss  0.868885, Time  0.278080
2021-09-16 09:50:57.535749 : Epoch  7, Batch    314, Loss  0.855514, Average Loss  0.868741, Time  0.266569
2021-09-16 09:51:00.510555 : Epoch  7, Batch    315, Loss  0.859186, Average Loss  0.868625, Time  0.265757
2021-09-16 09:51:03.537815 : Epoch  7, Batch    316, Loss  0.878908, Average Loss  0.868868, Time  0.266178
2021-09-16 09:51:06.532424 : Epoch  7, Batch    317, Loss  0.861565, Average Loss  0.868836, Time  0.265037
2021-09-16 09:51:09.510203 : Epoch  7, Batch    318, Loss  0.854657, Average Loss  0.868775, Time  0.265940
2021-09-16 09:51:12.514373 : Epoch  7, Batch    319, Loss  0.859762, Average Loss  0.868792, Time  0.265893
2021-09-16 09:51:15.470203 : Epoch  7, Batch    320, Loss  0.863290, Average Loss  0.868708, Time  0.266387
2021-09-16 09:51:18.462270 : Epoch  7, Batch    321, Loss  0.860533, Average Loss  0.868726, Time  0.265113
2021-09-16 09:51:21.433357 : Epoch  7, Batch    322, Loss  0.867121, Average Loss  0.868758, Time  0.265023
2021-09-16 09:51:24.408881 : Epoch  7, Batch    323, Loss  0.863680, Average Loss  0.868728, Time  0.265449
2021-09-16 09:51:27.394335 : Epoch  7, Batch    324, Loss  0.883038, Average Loss  0.868952, Time  0.266601
2021-09-16 09:51:30.381811 : Epoch  7, Batch    325, Loss  0.861455, Average Loss  0.868938, Time  0.265929
2021-09-16 09:51:33.365240 : Epoch  7, Batch    326, Loss  0.864213, Average Loss  0.868882, Time  0.267798
2021-09-16 09:51:36.339809 : Epoch  7, Batch    327, Loss  0.878651, Average Loss  0.869039, Time  0.264663
2021-09-16 09:51:39.322808 : Epoch  7, Batch    328, Loss  0.875352, Average Loss  0.869131, Time  0.268017
2021-09-16 09:51:42.355081 : Epoch  7, Batch    329, Loss  0.870517, Average Loss  0.869197, Time  0.276587
2021-09-16 09:51:45.345133 : Epoch  7, Batch    330, Loss  0.894855, Average Loss  0.869280, Time  0.268059
2021-09-16 09:51:48.335419 : Epoch  7, Batch    331, Loss  0.866708, Average Loss  0.869420, Time  0.265558
2021-09-16 09:51:51.321165 : Epoch  7, Batch    332, Loss  0.865502, Average Loss  0.869353, Time  0.265490
2021-09-16 09:51:54.323855 : Epoch  7, Batch    333, Loss  0.866277, Average Loss  0.869381, Time  0.266398
2021-09-16 09:51:57.344416 : Epoch  7, Batch    334, Loss  0.864769, Average Loss  0.869216, Time  0.266066
2021-09-16 09:52:00.381232 : Epoch  7, Batch    335, Loss  0.852746, Average Loss  0.869243, Time  0.264911
2021-09-16 09:52:03.381446 : Epoch  7, Batch    336, Loss  0.861049, Average Loss  0.869213, Time  0.266459
2021-09-16 09:52:06.369344 : Epoch  7, Batch    337, Loss  0.866143, Average Loss  0.869220, Time  0.266052
2021-09-16 09:52:09.354286 : Epoch  7, Batch    338, Loss  0.869545, Average Loss  0.869187, Time  0.265594
2021-09-16 09:52:12.334892 : Epoch  7, Batch    339, Loss  0.862345, Average Loss  0.869167, Time  0.265388
2021-09-16 09:52:15.337053 : Epoch  7, Batch    340, Loss  0.868806, Average Loss  0.869194, Time  0.264841
2021-09-16 09:52:18.330705 : Epoch  7, Batch    341, Loss  0.864825, Average Loss  0.869160, Time  0.264729
2021-09-16 09:52:21.313778 : Epoch  7, Batch    342, Loss  0.865613, Average Loss  0.869090, Time  0.266398
2021-09-16 09:52:24.290527 : Epoch  7, Batch    343, Loss  0.860740, Average Loss  0.869070, Time  0.265618
2021-09-16 09:52:27.285024 : Epoch  7, Batch    344, Loss  0.878431, Average Loss  0.869115, Time  0.278182
2021-09-16 09:52:30.305561 : Epoch  7, Batch    345, Loss  0.895528, Average Loss  0.869205, Time  0.266011
2021-09-16 09:52:33.303032 : Epoch  7, Batch    346, Loss  0.873038, Average Loss  0.869137, Time  0.268194
2021-09-16 09:52:36.323671 : Epoch  7, Batch    347, Loss  0.873403, Average Loss  0.869211, Time  0.266245
2021-09-16 09:52:39.331813 : Epoch  7, Batch    348, Loss  0.873643, Average Loss  0.869267, Time  0.265743
2021-09-16 09:52:42.278219 : Epoch  7, Batch    349, Loss  0.876213, Average Loss  0.869238, Time  0.264214
2021-09-16 09:52:45.210481 : Epoch  7, Batch    350, Loss  0.889927, Average Loss  0.869507, Time  0.266088
2021-09-16 09:52:48.179492 : Epoch  7, Batch    351, Loss  0.868725, Average Loss  0.869458, Time  0.265725
2021-09-16 09:52:51.183163 : Epoch  7, Batch    352, Loss  0.879162, Average Loss  0.869614, Time  0.265163
2021-09-16 09:52:54.165885 : Epoch  7, Batch    353, Loss  0.857591, Average Loss  0.869621, Time  0.267825
2021-09-16 09:52:57.160530 : Epoch  7, Batch    354, Loss  0.867798, Average Loss  0.869611, Time  0.264347
2021-09-16 09:53:00.160709 : Epoch  7, Batch    355, Loss  0.855582, Average Loss  0.869609, Time  0.265114
2021-09-16 09:53:01.945727 : CheckPoint: Validation Loss  0.00030065, Best Loss  0.00029226
2021-09-16 09:53:03.142488 : Epoch  7, Batch    356, Loss  0.845989, Average Loss  0.869429, Time  0.266958
2021-09-16 09:53:04.563069 : Epoch  5, Batch    277, Loss  0.882984, Average Loss  0.870184, Time  0.266534
2021-09-16 09:53:06.150085 : Epoch  7, Batch    357, Loss  0.863418, Average Loss  0.869308, Time  0.265367
2021-09-16 09:53:07.148067 : Epoch  5, Batch    278, Loss  0.852750, Average Loss  0.870241, Time  0.243357
2021-09-16 09:53:09.159111 : Epoch  7, Batch    358, Loss  0.866066, Average Loss  0.869286, Time  0.265336
2021-09-16 09:53:09.731477 : Epoch  5, Batch    279, Loss  0.861033, Average Loss  0.870138, Time  0.240878
2021-09-16 09:53:12.147882 : Epoch  7, Batch    359, Loss  0.877222, Average Loss  0.869211, Time  0.273631
2021-09-16 09:53:12.313452 : Epoch  5, Batch    280, Loss  0.884916, Average Loss  0.870211, Time  0.240293
2021-09-16 09:53:14.885175 : Epoch  5, Batch    281, Loss  0.855924, Average Loss  0.870132, Time  0.241388
2021-09-16 09:53:15.139387 : Epoch  7, Batch    360, Loss  0.850917, Average Loss  0.869074, Time  0.265296
2021-09-16 09:53:17.470586 : Epoch  5, Batch    282, Loss  0.866935, Average Loss  0.870145, Time  0.240309
2021-09-16 09:53:18.102922 : Epoch  7, Batch    361, Loss  0.845095, Average Loss  0.868862, Time  0.265868
2021-09-16 09:53:20.061181 : Epoch  5, Batch    283, Loss  0.840583, Average Loss  0.869984, Time  0.241025
2021-09-16 09:53:21.093439 : Epoch  7, Batch    362, Loss  0.883659, Average Loss  0.868960, Time  0.264264
2021-09-16 09:53:22.648412 : Epoch  5, Batch    284, Loss  0.887211, Average Loss  0.870012, Time  0.241096
2021-09-16 09:53:24.101240 : Epoch  7, Batch    363, Loss  0.896460, Average Loss  0.869061, Time  0.265670
2021-09-16 09:53:25.235666 : Epoch  5, Batch    285, Loss  0.880604, Average Loss  0.870049, Time  0.240445
2021-09-16 09:53:27.084571 : Epoch  7, Batch    364, Loss  0.849021, Average Loss  0.868947, Time  0.266293
2021-09-16 09:53:27.828347 : Epoch  5, Batch    286, Loss  0.886441, Average Loss  0.870156, Time  0.242611
2021-09-16 09:53:30.413984 : Epoch  5, Batch    287, Loss  0.855534, Average Loss  0.870253, Time  0.240369
2021-09-16 09:53:33.007400 : Epoch  5, Batch    288, Loss  0.870608, Average Loss  0.870194, Time  0.241049
2021-09-16 09:53:35.596271 : Epoch  5, Batch    289, Loss  0.879199, Average Loss  0.870163, Time  0.241095
2021-09-16 09:53:38.179603 : Epoch  5, Batch    290, Loss  0.864298, Average Loss  0.870054, Time  0.239988
2021-09-16 09:53:40.769426 : Epoch  5, Batch    291, Loss  0.850478, Average Loss  0.869912, Time  0.240109
2021-09-16 09:53:43.354407 : Epoch  5, Batch    292, Loss  0.872483, Average Loss  0.869866, Time  0.239877
2021-09-16 09:53:45.942277 : Epoch  5, Batch    293, Loss  0.870833, Average Loss  0.869862, Time  0.239821
2021-09-16 09:53:48.531108 : Epoch  5, Batch    294, Loss  0.857335, Average Loss  0.869737, Time  0.240058
2021-09-16 09:53:51.116390 : Epoch  5, Batch    295, Loss  0.879822, Average Loss  0.869657, Time  0.240601
2021-09-16 09:53:53.695880 : Epoch  5, Batch    296, Loss  0.862857, Average Loss  0.869636, Time  0.241093
2021-09-16 09:53:56.278647 : Epoch  5, Batch    297, Loss  0.886834, Average Loss  0.869781, Time  0.239882
2021-09-16 09:53:58.855208 : Epoch  5, Batch    298, Loss  0.858278, Average Loss  0.869766, Time  0.240297
2021-09-16 09:54:01.444693 : Epoch  5, Batch    299, Loss  0.860626, Average Loss  0.869745, Time  0.240395
2021-09-16 09:54:04.030062 : Epoch  5, Batch    300, Loss  0.863498, Average Loss  0.869769, Time  0.242142
2021-09-16 09:54:06.621040 : Epoch  5, Batch    301, Loss  0.868090, Average Loss  0.869705, Time  0.240909
2021-09-16 09:54:09.200300 : Epoch  5, Batch    302, Loss  0.862732, Average Loss  0.869716, Time  0.241763
2021-09-16 09:54:11.786876 : Epoch  5, Batch    303, Loss  0.886105, Average Loss  0.869863, Time  0.240413
2021-09-16 09:54:14.374266 : Epoch  5, Batch    304, Loss  0.870437, Average Loss  0.869870, Time  0.241728
2021-09-16 09:54:16.965893 : Epoch  5, Batch    305, Loss  0.896225, Average Loss  0.869971, Time  0.242376
2021-09-16 09:54:19.563914 : Epoch  5, Batch    306, Loss  0.859228, Average Loss  0.870011, Time  0.240794
2021-09-16 09:54:22.148615 : Epoch  5, Batch    307, Loss  0.879003, Average Loss  0.870152, Time  0.240819
2021-09-16 09:54:24.729389 : Epoch  5, Batch    308, Loss  0.889569, Average Loss  0.870246, Time  0.240061
2021-09-16 09:54:27.308675 : Epoch  5, Batch    309, Loss  0.877709, Average Loss  0.870239, Time  0.240847
2021-09-16 09:54:29.896889 : Epoch  5, Batch    310, Loss  0.859156, Average Loss  0.870216, Time  0.240436
2021-09-16 09:54:32.480076 : Epoch  5, Batch    311, Loss  0.887243, Average Loss  0.870328, Time  0.241401
2021-09-16 09:54:35.063019 : Epoch  5, Batch    312, Loss  0.879813, Average Loss  0.870483, Time  0.240317
2021-09-16 09:54:37.645602 : Epoch  5, Batch    313, Loss  0.836605, Average Loss  0.870181, Time  0.239969
2021-09-16 09:54:40.224951 : Epoch  5, Batch    314, Loss  0.883683, Average Loss  0.870202, Time  0.240211
2021-09-16 09:54:42.802746 : Epoch  5, Batch    315, Loss  0.868754, Average Loss  0.870178, Time  0.239996
2021-09-16 09:54:45.382865 : Epoch  5, Batch    316, Loss  0.881390, Average Loss  0.870185, Time  0.239872
2021-09-16 09:54:47.977914 : Epoch  5, Batch    317, Loss  0.849026, Average Loss  0.869927, Time  0.240554
2021-09-16 09:54:50.560258 : Epoch  5, Batch    318, Loss  0.873969, Average Loss  0.869923, Time  0.240932
2021-09-16 09:54:53.153027 : Epoch  5, Batch    319, Loss  0.851493, Average Loss  0.869883, Time  0.241418
2021-09-16 09:54:55.738174 : Epoch  5, Batch    320, Loss  0.881730, Average Loss  0.869861, Time  0.240800
2021-09-16 09:54:58.315849 : Epoch  5, Batch    321, Loss  0.880374, Average Loss  0.869857, Time  0.240291
2021-09-16 09:55:00.891920 : Epoch  5, Batch    322, Loss  0.851578, Average Loss  0.869730, Time  0.240358
2021-09-16 09:55:03.470375 : Epoch  5, Batch    323, Loss  0.877104, Average Loss  0.869773, Time  0.240206
2021-09-16 09:55:06.059171 : Epoch  5, Batch    324, Loss  0.869323, Average Loss  0.869792, Time  0.242453
2021-09-16 09:55:08.633584 : Epoch  5, Batch    325, Loss  0.871062, Average Loss  0.869872, Time  0.240484
2021-09-16 09:55:11.206166 : Epoch  5, Batch    326, Loss  0.888812, Average Loss  0.870017, Time  0.240578
2021-09-16 09:55:13.790985 : Epoch  5, Batch    327, Loss  0.873293, Average Loss  0.870088, Time  0.241062
2021-09-16 09:55:16.364600 : Epoch  5, Batch    328, Loss  0.877839, Average Loss  0.870238, Time  0.240230
2021-09-16 09:55:18.955061 : Epoch  5, Batch    329, Loss  0.887273, Average Loss  0.870349, Time  0.240610
2021-09-16 09:55:21.539559 : Epoch  5, Batch    330, Loss  0.894664, Average Loss  0.870463, Time  0.241119
2021-09-16 09:55:24.114993 : Epoch  5, Batch    331, Loss  0.875877, Average Loss  0.870543, Time  0.240154
2021-09-16 09:55:26.694273 : Epoch  5, Batch    332, Loss  0.856464, Average Loss  0.870444, Time  0.240813
2021-09-16 09:55:29.278586 : Epoch  5, Batch    333, Loss  0.878111, Average Loss  0.870562, Time  0.240980
2021-09-16 09:55:31.868846 : Epoch  5, Batch    334, Loss  0.861951, Average Loss  0.870420, Time  0.240318
2021-09-16 09:55:34.449655 : Epoch  5, Batch    335, Loss  0.868557, Average Loss  0.870499, Time  0.240403
2021-09-16 09:55:37.041456 : Epoch  5, Batch    336, Loss  0.866153, Average Loss  0.870446, Time  0.240434
2021-09-16 09:55:39.632926 : Epoch  5, Batch    337, Loss  0.896072, Average Loss  0.870582, Time  0.240456
2021-09-16 09:55:42.214836 : Epoch  5, Batch    338, Loss  0.863217, Average Loss  0.870606, Time  0.241206
2021-09-16 09:55:44.799614 : Epoch  5, Batch    339, Loss  0.883772, Average Loss  0.870608, Time  0.240024
2021-09-16 09:55:47.391934 : Epoch  5, Batch    340, Loss  0.856798, Average Loss  0.870578, Time  0.240298
2021-09-16 09:55:49.971957 : Epoch  5, Batch    341, Loss  0.877596, Average Loss  0.870543, Time  0.240874
2021-09-16 09:55:52.560939 : Epoch  5, Batch    342, Loss  0.855888, Average Loss  0.870471, Time  0.240184
2021-09-16 09:55:55.142329 : Epoch  5, Batch    343, Loss  0.898268, Average Loss  0.870547, Time  0.240534
2021-09-16 09:55:57.729832 : Epoch  5, Batch    344, Loss  0.881718, Average Loss  0.870590, Time  0.240322
2021-09-16 09:56:00.313948 : Epoch  5, Batch    345, Loss  0.859804, Average Loss  0.870601, Time  0.240508
2021-09-16 09:56:02.892853 : Epoch  5, Batch    346, Loss  0.885930, Average Loss  0.870659, Time  0.240182
2021-09-16 09:56:05.479020 : Epoch  5, Batch    347, Loss  0.874553, Average Loss  0.870707, Time  0.240334
2021-09-16 09:56:08.064911 : Epoch  5, Batch    348, Loss  0.864286, Average Loss  0.870648, Time  0.240360
2021-09-16 09:56:10.640279 : Epoch  5, Batch    349, Loss  0.875998, Average Loss  0.870687, Time  0.240286
2021-09-16 09:56:13.213156 : Epoch  5, Batch    350, Loss  0.880878, Average Loss  0.870661, Time  0.239808
2021-09-16 09:56:15.792378 : Epoch  5, Batch    351, Loss  0.887251, Average Loss  0.870869, Time  0.240974
2021-09-16 09:56:18.374297 : Epoch  5, Batch    352, Loss  0.858928, Average Loss  0.870906, Time  0.239813
2021-09-16 09:56:20.952885 : Epoch  5, Batch    353, Loss  0.879372, Average Loss  0.870969, Time  0.241290
2021-09-16 09:56:23.529156 : Epoch  5, Batch    354, Loss  0.881157, Average Loss  0.871036, Time  0.241127
2021-09-16 09:56:26.109874 : Epoch  5, Batch    355, Loss  0.850233, Average Loss  0.870862, Time  0.243483
2021-09-16 09:56:28.686443 : Epoch  5, Batch    356, Loss  0.876699, Average Loss  0.870910, Time  0.241407
2021-09-16 09:56:31.283042 : Epoch  5, Batch    357, Loss  0.893998, Average Loss  0.871020, Time  0.240662
2021-09-16 09:56:33.855485 : Epoch  5, Batch    358, Loss  0.860430, Average Loss  0.871025, Time  0.240521
2021-09-16 09:56:36.433274 : Epoch  5, Batch    359, Loss  0.870313, Average Loss  0.871096, Time  0.241107
2021-09-16 09:56:39.009957 : Epoch  5, Batch    360, Loss  0.855160, Average Loss  0.870973, Time  0.241335
2021-09-16 09:56:41.592079 : Epoch  5, Batch    361, Loss  0.867003, Average Loss  0.870935, Time  0.239975
2021-09-16 09:56:44.174091 : Epoch  5, Batch    362, Loss  0.883330, Average Loss  0.870918, Time  0.240614
2021-09-16 09:56:46.748482 : Epoch  5, Batch    363, Loss  0.883467, Average Loss  0.870952, Time  0.240184
2021-09-16 09:56:49.336016 : Epoch  5, Batch    364, Loss  0.857306, Average Loss  0.870842, Time  0.240136
2021-09-16 09:56:51.914430 : Epoch  5, Batch    365, Loss  0.866076, Average Loss  0.870817, Time  0.241924
2021-09-16 09:56:54.498798 : Epoch  5, Batch    366, Loss  0.882367, Average Loss  0.870994, Time  0.241123
2021-09-16 09:56:57.081046 : Epoch  5, Batch    367, Loss  0.884035, Average Loss  0.871022, Time  0.241223
2021-09-16 09:56:59.657917 : Epoch  5, Batch    368, Loss  0.880730, Average Loss  0.870979, Time  0.239776
2021-09-16 09:57:02.239413 : Epoch  5, Batch    369, Loss  0.869521, Average Loss  0.871012, Time  0.241206
2021-09-16 09:57:04.816530 : Epoch  5, Batch    370, Loss  0.853931, Average Loss  0.870928, Time  0.241956
2021-09-16 09:57:07.394085 : Epoch  5, Batch    371, Loss  0.876180, Average Loss  0.871079, Time  0.241276
2021-09-16 09:57:09.961112 : Epoch  5, Batch    372, Loss  0.866271, Average Loss  0.871101, Time  0.240307
2021-09-16 09:57:12.533427 : Epoch  5, Batch    373, Loss  0.881018, Average Loss  0.871208, Time  0.241000
2021-09-16 09:57:15.118957 : Epoch  5, Batch    374, Loss  0.885982, Average Loss  0.871244, Time  0.241474
2021-09-16 09:57:17.713077 : Epoch  5, Batch    375, Loss  0.875770, Average Loss  0.871318, Time  0.240233
2021-09-16 09:57:20.300633 : Epoch  5, Batch    376, Loss  0.851038, Average Loss  0.871244, Time  0.240061
2021-09-16 09:58:07.965968 : CheckPoint: Validation Loss  0.00030715, Best Loss  0.00029295
2021-09-16 09:58:10.968359 : Epoch  7, Batch    365, Loss  0.862726, Average Loss  0.868900, Time  0.268151
2021-09-16 09:58:13.969031 : Epoch  7, Batch    366, Loss  0.854341, Average Loss  0.868859, Time  0.265918
2021-09-16 09:58:16.945887 : Epoch  7, Batch    367, Loss  0.847051, Average Loss  0.868715, Time  0.266516
2021-09-16 09:58:19.927004 : Epoch  7, Batch    368, Loss  0.881073, Average Loss  0.868787, Time  0.266228
2021-09-16 09:58:22.909553 : Epoch  7, Batch    369, Loss  0.853531, Average Loss  0.868697, Time  0.266203
2021-09-16 09:58:25.931802 : Epoch  7, Batch    370, Loss  0.858274, Average Loss  0.868546, Time  0.266587
2021-09-16 09:58:28.949158 : Epoch  7, Batch    371, Loss  0.871628, Average Loss  0.868481, Time  0.266035
2021-09-16 09:58:31.951158 : Epoch  7, Batch    372, Loss  0.861508, Average Loss  0.868418, Time  0.265041
2021-09-16 09:58:34.924219 : Epoch  7, Batch    373, Loss  0.893064, Average Loss  0.868530, Time  0.265126
2021-09-16 09:58:37.939980 : Epoch  7, Batch    374, Loss  0.863520, Average Loss  0.868428, Time  0.280952
2021-09-16 09:58:40.965683 : Epoch  7, Batch    375, Loss  0.855766, Average Loss  0.868280, Time  0.266482
2021-09-16 09:58:43.938553 : Epoch  7, Batch    376, Loss  0.865274, Average Loss  0.868179, Time  0.265603
2021-09-16 09:58:46.898194 : Epoch  7, Batch    377, Loss  0.865561, Average Loss  0.868246, Time  0.265110
2021-09-16 09:58:49.881306 : Epoch  7, Batch    378, Loss  0.848472, Average Loss  0.868044, Time  0.265678
2021-09-16 09:58:52.854111 : Epoch  7, Batch    379, Loss  0.867722, Average Loss  0.868029, Time  0.265625
2021-09-16 09:58:55.838075 : Epoch  7, Batch    380, Loss  0.893726, Average Loss  0.868080, Time  0.266714
2021-09-16 09:58:58.844253 : Epoch  7, Batch    381, Loss  0.888392, Average Loss  0.868265, Time  0.264693
2021-09-16 09:59:01.817951 : Epoch  7, Batch    382, Loss  0.862207, Average Loss  0.868168, Time  0.265533
2021-09-16 09:59:04.794226 : Epoch  7, Batch    383, Loss  0.870896, Average Loss  0.868090, Time  0.265054
2021-09-16 09:59:07.766579 : Epoch  7, Batch    384, Loss  0.861590, Average Loss  0.868102, Time  0.266004
2021-09-16 09:59:10.748765 : Epoch  7, Batch    385, Loss  0.864226, Average Loss  0.868031, Time  0.266960
2021-09-16 09:59:13.713833 : Epoch  7, Batch    386, Loss  0.865440, Average Loss  0.868014, Time  0.264875
2021-09-16 09:59:16.720631 : Epoch  7, Batch    387, Loss  0.871616, Average Loss  0.868063, Time  0.266590
2021-09-16 09:59:19.742626 : Epoch  7, Batch    388, Loss  0.865863, Average Loss  0.868049, Time  0.266368
2021-09-16 09:59:22.733696 : Epoch  7, Batch    389, Loss  0.869735, Average Loss  0.868005, Time  0.277076
2021-09-16 09:59:25.718897 : Epoch  7, Batch    390, Loss  0.860979, Average Loss  0.867870, Time  0.266613
2021-09-16 09:59:28.727345 : Epoch  7, Batch    391, Loss  0.861847, Average Loss  0.867769, Time  0.264921
2021-09-16 09:59:31.726114 : Epoch  7, Batch    392, Loss  0.870270, Average Loss  0.867715, Time  0.266137
2021-09-16 09:59:34.694426 : Epoch  7, Batch    393, Loss  0.877903, Average Loss  0.867737, Time  0.266908
2021-09-16 09:59:37.651947 : Epoch  7, Batch    394, Loss  0.867989, Average Loss  0.867760, Time  0.263569
2021-09-16 09:59:40.671235 : Epoch  7, Batch    395, Loss  0.869327, Average Loss  0.867665, Time  0.265759
2021-09-16 09:59:43.670253 : Epoch  7, Batch    396, Loss  0.866219, Average Loss  0.867603, Time  0.266291
2021-09-16 09:59:46.661702 : Epoch  7, Batch    397, Loss  0.856199, Average Loss  0.867629, Time  0.265461
2021-09-16 09:59:49.673179 : Epoch  7, Batch    398, Loss  0.867416, Average Loss  0.867613, Time  0.267923
2021-09-16 09:59:52.654171 : Epoch  7, Batch    399, Loss  0.883090, Average Loss  0.867711, Time  0.265242
2021-09-16 09:59:55.624853 : Epoch  7, Batch    400, Loss  0.869535, Average Loss  0.867777, Time  0.265447
2021-09-16 09:59:58.592684 : Epoch  7, Batch    401, Loss  0.871806, Average Loss  0.867731, Time  0.265647
2021-09-16 10:00:01.584103 : Epoch  7, Batch    402, Loss  0.879662, Average Loss  0.867759, Time  0.264574
2021-09-16 10:00:04.565809 : Epoch  7, Batch    403, Loss  0.864893, Average Loss  0.867766, Time  0.266282
2021-09-16 10:00:07.574396 : Epoch  7, Batch    404, Loss  0.867320, Average Loss  0.867751, Time  0.275695
2021-09-16 10:00:10.592783 : Epoch  7, Batch    405, Loss  0.885786, Average Loss  0.867669, Time  0.266621
2021-09-16 10:00:13.591071 : Epoch  7, Batch    406, Loss  0.887419, Average Loss  0.867707, Time  0.266268
2021-09-16 10:00:16.577480 : Epoch  7, Batch    407, Loss  0.832876, Average Loss  0.867562, Time  0.267385
2021-09-16 10:00:19.571144 : Epoch  7, Batch    408, Loss  0.865859, Average Loss  0.867552, Time  0.265998
2021-09-16 10:00:22.563417 : Epoch  7, Batch    409, Loss  0.816015, Average Loss  0.867413, Time  0.265975
2021-09-16 10:00:25.574579 : Epoch  7, Batch    410, Loss  0.849115, Average Loss  0.867285, Time  0.266490
2021-09-16 10:00:28.592624 : Epoch  7, Batch    411, Loss  0.876815, Average Loss  0.867450, Time  0.265382
2021-09-16 10:00:31.595101 : Epoch  7, Batch    412, Loss  0.865943, Average Loss  0.867513, Time  0.266038
2021-09-16 10:00:34.607564 : Epoch  7, Batch    413, Loss  0.892723, Average Loss  0.867658, Time  0.266126
2021-09-16 10:00:37.626126 : Epoch  7, Batch    414, Loss  0.860441, Average Loss  0.867619, Time  0.265959
2021-09-16 10:00:40.627799 : Epoch  7, Batch    415, Loss  0.870177, Average Loss  0.867673, Time  0.265599
2021-09-16 10:00:43.602651 : Epoch  7, Batch    416, Loss  0.851151, Average Loss  0.867441, Time  0.265195
2021-09-16 10:00:46.605220 : Epoch  7, Batch    417, Loss  0.894737, Average Loss  0.867592, Time  0.267701
2021-09-16 10:00:49.607487 : Epoch  7, Batch    418, Loss  0.859902, Average Loss  0.867494, Time  0.266875
2021-09-16 10:00:52.615103 : Epoch  7, Batch    419, Loss  0.876230, Average Loss  0.867499, Time  0.278257
2021-09-16 10:00:55.600366 : Epoch  7, Batch    420, Loss  0.884867, Average Loss  0.867567, Time  0.265818
2021-09-16 10:00:58.597301 : Epoch  7, Batch    421, Loss  0.855586, Average Loss  0.867568, Time  0.265705
2021-09-16 10:01:01.575266 : Epoch  7, Batch    422, Loss  0.853739, Average Loss  0.867541, Time  0.265229
2021-09-16 10:01:04.580084 : Epoch  7, Batch    423, Loss  0.861615, Average Loss  0.867432, Time  0.265602
2021-09-16 10:01:07.567881 : Epoch  7, Batch    424, Loss  0.874987, Average Loss  0.867464, Time  0.264988
2021-09-16 10:01:10.577228 : Epoch  7, Batch    425, Loss  0.861195, Average Loss  0.867461, Time  0.265358
2021-09-16 10:01:13.577292 : Epoch  7, Batch    426, Loss  0.876067, Average Loss  0.867508, Time  0.267021
2021-09-16 10:01:16.556549 : Epoch  7, Batch    427, Loss  0.864759, Average Loss  0.867510, Time  0.265503
2021-09-16 10:01:19.541297 : Epoch  7, Batch    428, Loss  0.877361, Average Loss  0.867541, Time  0.266354
2021-09-16 10:01:21.961745 : CheckPoint: Validation Loss  0.00030635, Best Loss  0.00029226
2021-09-16 10:01:22.521571 : Epoch  7, Batch    429, Loss  0.862717, Average Loss  0.867486, Time  0.265625
2021-09-16 10:01:24.570918 : Epoch  5, Batch    377, Loss  0.865664, Average Loss  0.871160, Time  0.256265
2021-09-16 10:01:25.507083 : Epoch  7, Batch    430, Loss  0.862569, Average Loss  0.867529, Time  0.266369
2021-09-16 10:01:27.170016 : Epoch  5, Batch    378, Loss  0.866476, Average Loss  0.871119, Time  0.240747
2021-09-16 10:01:28.533329 : Epoch  7, Batch    431, Loss  0.886542, Average Loss  0.867638, Time  0.266560
2021-09-16 10:01:29.764340 : Epoch  5, Batch    379, Loss  0.868856, Average Loss  0.871086, Time  0.239991
2021-09-16 10:01:31.553097 : Epoch  7, Batch    432, Loss  0.880608, Average Loss  0.867766, Time  0.266417
2021-09-16 10:01:32.365363 : Epoch  5, Batch    380, Loss  0.865306, Average Loss  0.871006, Time  0.240766
2021-09-16 10:01:34.542323 : Epoch  7, Batch    433, Loss  0.861251, Average Loss  0.867787, Time  0.265693
2021-09-16 10:01:34.956562 : Epoch  5, Batch    381, Loss  0.870506, Average Loss  0.870874, Time  0.240182
2021-09-16 10:01:37.536868 : Epoch  5, Batch    382, Loss  0.850124, Average Loss  0.870675, Time  0.240282
2021-09-16 10:01:37.543686 : Epoch  7, Batch    434, Loss  0.862221, Average Loss  0.867707, Time  0.276638
2021-09-16 10:01:40.130867 : Epoch  5, Batch    383, Loss  0.882643, Average Loss  0.870664, Time  0.241857
2021-09-16 10:01:40.557217 : Epoch  7, Batch    435, Loss  0.855910, Average Loss  0.867684, Time  0.265491
2021-09-16 10:01:42.728435 : Epoch  5, Batch    384, Loss  0.869178, Average Loss  0.870710, Time  0.240230
2021-09-16 10:01:43.554470 : Epoch  7, Batch    436, Loss  0.875480, Average Loss  0.867729, Time  0.265366
2021-09-16 10:01:45.320665 : Epoch  5, Batch    385, Loss  0.857258, Average Loss  0.870700, Time  0.241190
2021-09-16 10:01:46.547845 : Epoch  7, Batch    437, Loss  0.878624, Average Loss  0.867741, Time  0.265704
2021-09-16 10:01:47.909853 : Epoch  5, Batch    386, Loss  0.862691, Average Loss  0.870688, Time  0.242252
2021-09-16 10:01:49.553148 : Epoch  7, Batch    438, Loss  0.875746, Average Loss  0.867755, Time  0.265608
2021-09-16 10:01:50.509877 : Epoch  5, Batch    387, Loss  0.869408, Average Loss  0.870674, Time  0.240664
2021-09-16 10:01:52.548824 : Epoch  7, Batch    439, Loss  0.875655, Average Loss  0.867788, Time  0.265311
2021-09-16 10:01:53.092605 : Epoch  5, Batch    388, Loss  0.875359, Average Loss  0.870690, Time  0.240109
2021-09-16 10:01:55.542896 : Epoch  7, Batch    440, Loss  0.859467, Average Loss  0.867636, Time  0.266114
2021-09-16 10:01:55.668160 : Epoch  5, Batch    389, Loss  0.861542, Average Loss  0.870586, Time  0.239958
2021-09-16 10:01:58.245170 : Epoch  5, Batch    390, Loss  0.890357, Average Loss  0.870702, Time  0.240873
2021-09-16 10:01:58.555020 : Epoch  7, Batch    441, Loss  0.860268, Average Loss  0.867615, Time  0.267043
2021-09-16 10:02:00.833891 : Epoch  5, Batch    391, Loss  0.865889, Average Loss  0.870726, Time  0.241397
2021-09-16 10:02:01.531045 : Epoch  7, Batch    442, Loss  0.859477, Average Loss  0.867522, Time  0.266135
2021-09-16 10:02:03.416563 : Epoch  5, Batch    392, Loss  0.864109, Average Loss  0.870592, Time  0.240195
2021-09-16 10:02:04.520981 : Epoch  7, Batch    443, Loss  0.886011, Average Loss  0.867490, Time  0.264622
2021-09-16 10:02:06.005377 : Epoch  5, Batch    393, Loss  0.869362, Average Loss  0.870578, Time  0.241300
2021-09-16 10:02:07.500922 : Epoch  7, Batch    444, Loss  0.867628, Average Loss  0.867419, Time  0.266551
2021-09-16 10:02:08.592981 : Epoch  5, Batch    394, Loss  0.859384, Average Loss  0.870637, Time  0.241943
2021-09-16 10:02:10.475053 : Epoch  7, Batch    445, Loss  0.876976, Average Loss  0.867381, Time  0.266633
2021-09-16 10:02:11.175987 : Epoch  5, Batch    395, Loss  0.873263, Average Loss  0.870543, Time  0.240353
2021-09-16 10:02:13.473485 : Epoch  7, Batch    446, Loss  0.868021, Average Loss  0.867346, Time  0.267188
2021-09-16 10:02:13.756318 : Epoch  5, Batch    396, Loss  0.873680, Average Loss  0.870550, Time  0.240271
2021-09-16 10:02:16.343132 : Epoch  5, Batch    397, Loss  0.888281, Average Loss  0.870673, Time  0.241105
2021-09-16 10:02:16.490464 : Epoch  7, Batch    447, Loss  0.865873, Average Loss  0.867324, Time  0.266098
2021-09-16 10:02:18.955957 : Epoch  5, Batch    398, Loss  0.894826, Average Loss  0.870757, Time  0.239713
2021-09-16 10:02:19.495145 : Epoch  7, Batch    448, Loss  0.856431, Average Loss  0.867255, Time  0.266856
2021-09-16 10:02:21.549073 : Epoch  5, Batch    399, Loss  0.876774, Average Loss  0.870792, Time  0.241971
2021-09-16 10:02:22.506212 : Epoch  7, Batch    449, Loss  0.879694, Average Loss  0.867354, Time  0.266703
2021-09-16 10:02:24.140163 : Epoch  5, Batch    400, Loss  0.862776, Average Loss  0.870829, Time  0.242061
2021-09-16 10:02:25.538137 : Epoch  7, Batch    450, Loss  0.883375, Average Loss  0.867421, Time  0.279601
2021-09-16 10:02:26.728627 : Epoch  5, Batch    401, Loss  0.855826, Average Loss  0.870688, Time  0.241399
2021-09-16 10:02:28.546985 : Epoch  7, Batch    451, Loss  0.873295, Average Loss  0.867497, Time  0.267187
2021-09-16 10:02:29.316099 : Epoch  5, Batch    402, Loss  0.848934, Average Loss  0.870649, Time  0.240025
2021-09-16 10:02:31.536303 : Epoch  7, Batch    452, Loss  0.853433, Average Loss  0.867460, Time  0.266123
2021-09-16 10:02:31.903160 : Epoch  5, Batch    403, Loss  0.871945, Average Loss  0.870723, Time  0.240983
2021-09-16 10:02:34.476457 : Epoch  5, Batch    404, Loss  0.856532, Average Loss  0.870651, Time  0.241930
2021-09-16 10:02:34.534334 : Epoch  7, Batch    453, Loss  0.853909, Average Loss  0.867490, Time  0.265148
2021-09-16 10:02:37.065747 : Epoch  5, Batch    405, Loss  0.873198, Average Loss  0.870645, Time  0.241524
2021-09-16 10:02:37.501825 : Epoch  7, Batch    454, Loss  0.884729, Average Loss  0.867589, Time  0.265849
2021-09-16 10:02:39.640990 : Epoch  5, Batch    406, Loss  0.892365, Average Loss  0.870702, Time  0.241437
2021-09-16 10:02:40.493547 : Epoch  7, Batch    455, Loss  0.857960, Average Loss  0.867598, Time  0.265690
2021-09-16 10:02:42.221918 : Epoch  5, Batch    407, Loss  0.869509, Average Loss  0.870748, Time  0.240314
2021-09-16 10:02:43.460402 : Epoch  7, Batch    456, Loss  0.866962, Average Loss  0.867663, Time  0.267260
2021-09-16 10:02:44.817813 : Epoch  5, Batch    408, Loss  0.861754, Average Loss  0.870748, Time  0.241427
2021-09-16 10:02:46.462740 : Epoch  7, Batch    457, Loss  0.873500, Average Loss  0.867734, Time  0.265550
2021-09-16 10:02:47.405800 : Epoch  5, Batch    409, Loss  0.870807, Average Loss  0.870779, Time  0.240422
2021-09-16 10:02:49.505880 : Epoch  7, Batch    458, Loss  0.852610, Average Loss  0.867587, Time  0.265290
2021-09-16 10:02:49.986841 : Epoch  5, Batch    410, Loss  0.863379, Average Loss  0.870764, Time  0.240583
2021-09-16 10:02:52.508468 : Epoch  7, Batch    459, Loss  0.869336, Average Loss  0.867651, Time  0.265825
2021-09-16 10:02:52.562994 : Epoch  5, Batch    411, Loss  0.867960, Average Loss  0.870755, Time  0.244392
2021-09-16 10:02:55.140262 : Epoch  5, Batch    412, Loss  0.894151, Average Loss  0.870839, Time  0.240363
2021-09-16 10:02:55.505897 : Epoch  7, Batch    460, Loss  0.866588, Average Loss  0.867716, Time  0.265480
2021-09-16 10:02:57.734879 : Epoch  5, Batch    413, Loss  0.867408, Average Loss  0.870825, Time  0.240880
2021-09-16 10:02:58.485558 : Epoch  7, Batch    461, Loss  0.871459, Average Loss  0.867616, Time  0.266649
2021-09-16 10:03:00.325202 : Epoch  5, Batch    414, Loss  0.858471, Average Loss  0.870836, Time  0.241180
2021-09-16 10:03:01.500757 : Epoch  7, Batch    462, Loss  0.861413, Average Loss  0.867654, Time  0.267012
2021-09-16 10:03:02.917166 : Epoch  5, Batch    415, Loss  0.858106, Average Loss  0.870683, Time  0.240467
2021-09-16 10:03:04.527484 : Epoch  7, Batch    463, Loss  0.877042, Average Loss  0.867645, Time  0.266471
2021-09-16 10:03:05.507931 : Epoch  5, Batch    416, Loss  0.873195, Average Loss  0.870746, Time  0.241740
2021-09-16 10:03:07.551850 : Epoch  7, Batch    464, Loss  0.881632, Average Loss  0.867704, Time  0.266138
2021-09-16 10:03:08.100132 : Epoch  5, Batch    417, Loss  0.904382, Average Loss  0.870893, Time  0.241063
2021-09-16 10:03:10.685122 : Epoch  5, Batch    418, Loss  0.862978, Average Loss  0.870829, Time  0.240563
2021-09-16 10:03:13.272442 : Epoch  5, Batch    419, Loss  0.880149, Average Loss  0.870908, Time  0.240960
2021-09-16 10:03:15.864377 : Epoch  5, Batch    420, Loss  0.878565, Average Loss  0.870872, Time  0.240591
2021-09-16 10:03:18.451804 : Epoch  5, Batch    421, Loss  0.871679, Average Loss  0.870874, Time  0.240187
2021-09-16 10:03:21.035405 : Epoch  5, Batch    422, Loss  0.860042, Average Loss  0.870865, Time  0.240805
2021-09-16 10:03:23.620858 : Epoch  5, Batch    423, Loss  0.872868, Average Loss  0.870841, Time  0.240262
2021-09-16 10:03:26.204415 : Epoch  5, Batch    424, Loss  0.872514, Average Loss  0.870949, Time  0.241525
2021-09-16 10:03:28.788436 : Epoch  5, Batch    425, Loss  0.878673, Average Loss  0.870968, Time  0.240182
2021-09-16 10:03:31.369819 : Epoch  5, Batch    426, Loss  0.882533, Average Loss  0.870976, Time  0.240238
2021-09-16 10:03:33.950296 : Epoch  5, Batch    427, Loss  0.879205, Average Loss  0.870953, Time  0.241122
2021-09-16 10:03:36.530429 : Epoch  5, Batch    428, Loss  0.856022, Average Loss  0.870902, Time  0.242964
2021-09-16 10:03:39.110046 : Epoch  5, Batch    429, Loss  0.882472, Average Loss  0.870945, Time  0.239972
2021-09-16 10:03:41.705677 : Epoch  5, Batch    430, Loss  0.859119, Average Loss  0.870825, Time  0.239727
2021-09-16 10:03:44.287135 : Epoch  5, Batch    431, Loss  0.861859, Average Loss  0.870776, Time  0.240332
2021-09-16 10:03:46.878229 : Epoch  5, Batch    432, Loss  0.858026, Average Loss  0.870762, Time  0.241346
2021-09-16 10:03:49.458470 : Epoch  5, Batch    433, Loss  0.866130, Average Loss  0.870687, Time  0.240476
2021-09-16 10:03:52.046914 : Epoch  5, Batch    434, Loss  0.884876, Average Loss  0.870571, Time  0.240668
2021-09-16 10:03:54.632142 : Epoch  5, Batch    435, Loss  0.880597, Average Loss  0.870685, Time  0.241309
2021-09-16 10:03:57.213171 : Epoch  5, Batch    436, Loss  0.886903, Average Loss  0.870879, Time  0.242346
2021-09-16 10:03:59.800886 : Epoch  5, Batch    437, Loss  0.882689, Average Loss  0.870947, Time  0.241216
2021-09-16 10:04:02.400837 : Epoch  5, Batch    438, Loss  0.880265, Average Loss  0.871044, Time  0.241158
2021-09-16 10:04:04.985655 : Epoch  5, Batch    439, Loss  0.879722, Average Loss  0.871229, Time  0.240937
2021-09-16 10:04:07.578255 : Epoch  5, Batch    440, Loss  0.883695, Average Loss  0.871255, Time  0.241300
2021-09-16 10:04:10.165996 : Epoch  5, Batch    441, Loss  0.868390, Average Loss  0.871229, Time  0.240140
2021-09-16 10:04:12.743919 : Epoch  5, Batch    442, Loss  0.877580, Average Loss  0.871298, Time  0.240242
2021-09-16 10:04:15.335201 : Epoch  5, Batch    443, Loss  0.873177, Average Loss  0.871263, Time  0.242712
2021-09-16 10:04:17.932889 : Epoch  5, Batch    444, Loss  0.852549, Average Loss  0.871109, Time  0.240649
2021-09-16 10:04:20.522780 : Epoch  5, Batch    445, Loss  0.869600, Average Loss  0.871077, Time  0.240606
2021-09-16 10:04:23.111272 : Epoch  5, Batch    446, Loss  0.871419, Average Loss  0.871031, Time  0.241096
2021-09-16 10:04:25.702871 : Epoch  5, Batch    447, Loss  0.879242, Average Loss  0.871109, Time  0.241138
2021-09-16 10:04:28.284112 : Epoch  5, Batch    448, Loss  0.859710, Average Loss  0.871127, Time  0.240366
2021-09-16 10:04:30.871770 : Epoch  5, Batch    449, Loss  0.869301, Average Loss  0.871147, Time  0.240440
2021-09-16 10:04:33.463912 : Epoch  5, Batch    450, Loss  0.860948, Average Loss  0.871105, Time  0.241724
2021-09-16 10:04:36.045471 : Epoch  5, Batch    451, Loss  0.859929, Average Loss  0.871040, Time  0.240241
2021-09-16 10:04:38.624936 : Epoch  5, Batch    452, Loss  0.877422, Average Loss  0.871073, Time  0.241059
2021-09-16 10:04:41.210331 : Epoch  5, Batch    453, Loss  0.876645, Average Loss  0.871035, Time  0.241432
2021-09-16 10:04:43.804252 : Epoch  5, Batch    454, Loss  0.879124, Average Loss  0.871059, Time  0.241668
2021-09-16 10:04:46.392143 : Epoch  5, Batch    455, Loss  0.856027, Average Loss  0.870959, Time  0.240443
2021-09-16 10:04:48.981945 : Epoch  5, Batch    456, Loss  0.868449, Average Loss  0.871036, Time  0.240670
2021-09-16 10:04:51.571042 : Epoch  5, Batch    457, Loss  0.875140, Average Loss  0.871055, Time  0.240587
2021-09-16 10:04:54.148430 : Epoch  5, Batch    458, Loss  0.886305, Average Loss  0.871092, Time  0.239740
2021-09-16 10:04:56.736413 : Epoch  5, Batch    459, Loss  0.866217, Average Loss  0.871054, Time  0.241353
2021-09-16 10:04:59.321392 : Epoch  5, Batch    460, Loss  0.875610, Average Loss  0.871073, Time  0.241202
2021-09-16 10:05:01.914636 : Epoch  5, Batch    461, Loss  0.859070, Average Loss  0.871125, Time  0.241042
2021-09-16 10:05:04.497216 : Epoch  5, Batch    462, Loss  0.854827, Average Loss  0.871194, Time  0.241023
2021-09-16 10:05:07.080870 : Epoch  5, Batch    463, Loss  0.884498, Average Loss  0.871217, Time  0.242023
2021-09-16 10:05:09.676439 : Epoch  5, Batch    464, Loss  0.863605, Average Loss  0.871168, Time  0.241271
2021-09-16 10:05:12.279090 : Epoch  5, Batch    465, Loss  0.865911, Average Loss  0.871191, Time  0.240705
2021-09-16 10:05:14.870565 : Epoch  5, Batch    466, Loss  0.883790, Average Loss  0.871280, Time  0.241976
2021-09-16 10:05:17.462432 : Epoch  5, Batch    467, Loss  0.876318, Average Loss  0.871260, Time  0.240528
2021-09-16 10:05:20.050713 : Epoch  5, Batch    468, Loss  0.865670, Average Loss  0.871210, Time  0.240022
2021-09-16 10:05:22.638015 : Epoch  5, Batch    469, Loss  0.867225, Average Loss  0.871231, Time  0.240229
2021-09-16 10:05:25.244987 : Epoch  5, Batch    470, Loss  0.883765, Average Loss  0.871287, Time  0.240446
2021-09-16 10:05:27.823169 : Epoch  5, Batch    471, Loss  0.888522, Average Loss  0.871418, Time  0.240156
2021-09-16 10:05:30.417501 : Epoch  5, Batch    472, Loss  0.880929, Average Loss  0.871455, Time  0.240751
2021-09-16 10:05:33.005941 : Epoch  5, Batch    473, Loss  0.865783, Average Loss  0.871494, Time  0.240041
2021-09-16 10:05:35.591569 : Epoch  5, Batch    474, Loss  0.882502, Average Loss  0.871469, Time  0.240126
2021-09-16 10:05:38.183426 : Epoch  5, Batch    475, Loss  0.874856, Average Loss  0.871585, Time  0.239803
2021-09-16 10:05:40.761270 : Epoch  5, Batch    476, Loss  0.853840, Average Loss  0.871560, Time  0.240553
2021-09-16 10:07:48.446121 : CheckPoint: Validation Loss  0.00029633, Best Loss  0.00029295
2021-09-16 10:07:51.465179 : Epoch  7, Batch    465, Loss  0.886949, Average Loss  0.867750, Time  0.267242
2021-09-16 10:07:54.473688 : Epoch  7, Batch    466, Loss  0.864555, Average Loss  0.867762, Time  0.267528
2021-09-16 10:07:57.471061 : Epoch  7, Batch    467, Loss  0.873940, Average Loss  0.867930, Time  0.266199
2021-09-16 10:08:00.491323 : Epoch  7, Batch    468, Loss  0.885034, Average Loss  0.868096, Time  0.265798
2021-09-16 10:08:03.471246 : Epoch  7, Batch    469, Loss  0.868789, Average Loss  0.868121, Time  0.265496
2021-09-16 10:08:06.465343 : Epoch  7, Batch    470, Loss  0.870338, Average Loss  0.868149, Time  0.265861
2021-09-16 10:08:09.471186 : Epoch  7, Batch    471, Loss  0.855634, Average Loss  0.868032, Time  0.264964
2021-09-16 10:08:12.494448 : Epoch  7, Batch    472, Loss  0.873502, Average Loss  0.868103, Time  0.266603
2021-09-16 10:08:15.513038 : Epoch  7, Batch    473, Loss  0.868054, Average Loss  0.868064, Time  0.266366
2021-09-16 10:08:18.531216 : Epoch  7, Batch    474, Loss  0.883463, Average Loss  0.868209, Time  0.267253
2021-09-16 10:08:21.534947 : Epoch  7, Batch    475, Loss  0.889992, Average Loss  0.868329, Time  0.265715
2021-09-16 10:08:24.560252 : Epoch  7, Batch    476, Loss  0.865257, Average Loss  0.868316, Time  0.266048
2021-09-16 10:08:27.555105 : Epoch  7, Batch    477, Loss  0.872768, Average Loss  0.868278, Time  0.265717
2021-09-16 10:08:30.571996 : Epoch  7, Batch    478, Loss  0.853661, Average Loss  0.868308, Time  0.279059
2021-09-16 10:08:33.590445 : Epoch  7, Batch    479, Loss  0.885232, Average Loss  0.868424, Time  0.266392
2021-09-16 10:08:36.611794 : Epoch  7, Batch    480, Loss  0.869613, Average Loss  0.868331, Time  0.266166
2021-09-16 10:08:39.621186 : Epoch  7, Batch    481, Loss  0.865260, Average Loss  0.868309, Time  0.265165
2021-09-16 10:08:42.607329 : Epoch  7, Batch    482, Loss  0.867905, Average Loss  0.868208, Time  0.265753
2021-09-16 10:08:45.594095 : Epoch  7, Batch    483, Loss  0.877772, Average Loss  0.868252, Time  0.265350
2021-09-16 10:08:48.579058 : Epoch  7, Batch    484, Loss  0.864937, Average Loss  0.868258, Time  0.266114
2021-09-16 10:08:51.609947 : Epoch  7, Batch    485, Loss  0.871982, Average Loss  0.868290, Time  0.267593
2021-09-16 10:08:54.601291 : Epoch  7, Batch    486, Loss  0.868442, Average Loss  0.868243, Time  0.265054
2021-09-16 10:08:57.602970 : Epoch  7, Batch    487, Loss  0.860960, Average Loss  0.868275, Time  0.266627
2021-09-16 10:09:00.607562 : Epoch  7, Batch    488, Loss  0.849097, Average Loss  0.868076, Time  0.266441
2021-09-16 10:09:03.611877 : Epoch  7, Batch    489, Loss  0.874851, Average Loss  0.868067, Time  0.265485
2021-09-16 10:09:06.608834 : Epoch  7, Batch    490, Loss  0.874073, Average Loss  0.868065, Time  0.266476
2021-09-16 10:09:09.625041 : Epoch  7, Batch    491, Loss  0.870565, Average Loss  0.868069, Time  0.267096
2021-09-16 10:09:12.599890 : Epoch  7, Batch    492, Loss  0.901689, Average Loss  0.868207, Time  0.265374
2021-09-16 10:09:15.601782 : Epoch  7, Batch    493, Loss  0.873732, Average Loss  0.868228, Time  0.273508
2021-09-16 10:09:18.626298 : Epoch  7, Batch    494, Loss  0.864793, Average Loss  0.868271, Time  0.266017
2021-09-16 10:09:21.630653 : Epoch  7, Batch    495, Loss  0.868571, Average Loss  0.868316, Time  0.266207
2021-09-16 10:09:24.630028 : Epoch  7, Batch    496, Loss  0.859799, Average Loss  0.868317, Time  0.265574
2021-09-16 10:09:27.622656 : Epoch  7, Batch    497, Loss  0.843958, Average Loss  0.868182, Time  0.265400
2021-09-16 10:09:30.596554 : Epoch  7, Batch    498, Loss  0.876880, Average Loss  0.868241, Time  0.265314
2021-09-16 10:09:33.616757 : Epoch  7, Batch    499, Loss  0.868040, Average Loss  0.868280, Time  0.266047
2021-09-16 10:09:36.636668 : Epoch  7, Batch    500, Loss  0.872038, Average Loss  0.868286, Time  0.265756
2021-09-16 10:09:39.623706 : Epoch  7, Batch    501, Loss  0.881945, Average Loss  0.868350, Time  0.265249
2021-09-16 10:09:42.597413 : Epoch  7, Batch    502, Loss  0.877138, Average Loss  0.868438, Time  0.265367
2021-09-16 10:09:42.972757 : CheckPoint: Validation Loss  0.00030546, Best Loss  0.00029226
2021-09-16 10:09:45.565392 : Epoch  5, Batch    477, Loss  0.867835, Average Loss  0.871484, Time  0.241241
2021-09-16 10:09:45.576696 : Epoch  7, Batch    503, Loss  0.867613, Average Loss  0.868463, Time  0.265776
2021-09-16 10:09:48.148059 : Epoch  5, Batch    478, Loss  0.877569, Average Loss  0.871608, Time  0.240444
2021-09-16 10:09:48.576005 : Epoch  7, Batch    504, Loss  0.864072, Average Loss  0.868417, Time  0.266357
2021-09-16 10:09:50.735823 : Epoch  5, Batch    479, Loss  0.866751, Average Loss  0.871636, Time  0.241225
2021-09-16 10:09:51.586893 : Epoch  7, Batch    505, Loss  0.876319, Average Loss  0.868486, Time  0.267615
2021-09-16 10:09:53.323915 : Epoch  5, Batch    480, Loss  0.870663, Average Loss  0.871565, Time  0.241546
2021-09-16 10:09:54.598059 : Epoch  7, Batch    506, Loss  0.868138, Average Loss  0.868516, Time  0.265337
2021-09-16 10:09:55.914598 : Epoch  5, Batch    481, Loss  0.859791, Average Loss  0.871585, Time  0.239858
2021-09-16 10:09:57.606541 : Epoch  7, Batch    507, Loss  0.885453, Average Loss  0.868604, Time  0.266326
2021-09-16 10:09:58.508281 : Epoch  5, Batch    482, Loss  0.844078, Average Loss  0.871470, Time  0.242016
2021-09-16 10:10:00.603035 : Epoch  7, Batch    508, Loss  0.894987, Average Loss  0.868735, Time  0.280304
2021-09-16 10:10:01.119087 : Epoch  5, Batch    483, Loss  0.862158, Average Loss  0.871578, Time  0.240991
2021-09-16 10:10:03.589037 : Epoch  7, Batch    509, Loss  0.863353, Average Loss  0.868616, Time  0.266629
2021-09-16 10:10:03.694261 : Epoch  5, Batch    484, Loss  0.865120, Average Loss  0.871468, Time  0.240979
2021-09-16 10:10:06.267125 : Epoch  5, Batch    485, Loss  0.882266, Average Loss  0.871476, Time  0.242511
2021-09-16 10:10:06.586895 : Epoch  7, Batch    510, Loss  0.864176, Average Loss  0.868577, Time  0.267699
2021-09-16 10:10:08.853864 : Epoch  5, Batch    486, Loss  0.877073, Average Loss  0.871429, Time  0.240510
2021-09-16 10:10:09.572026 : Epoch  7, Batch    511, Loss  0.856092, Average Loss  0.868572, Time  0.268194
2021-09-16 10:10:11.443829 : Epoch  5, Batch    487, Loss  0.873322, Average Loss  0.871518, Time  0.240193
2021-09-16 10:10:12.585172 : Epoch  7, Batch    512, Loss  0.880512, Average Loss  0.868716, Time  0.266119
2021-09-16 10:10:14.033850 : Epoch  5, Batch    488, Loss  0.878295, Average Loss  0.871557, Time  0.240598
2021-09-16 10:10:15.577299 : Epoch  7, Batch    513, Loss  0.863162, Average Loss  0.868584, Time  0.265343
2021-09-16 10:10:16.621715 : Epoch  5, Batch    489, Loss  0.890314, Average Loss  0.871612, Time  0.240098
2021-09-16 10:10:18.546864 : Epoch  7, Batch    514, Loss  0.874594, Average Loss  0.868679, Time  0.265631
2021-09-16 10:10:19.211703 : Epoch  5, Batch    490, Loss  0.888992, Average Loss  0.871736, Time  0.243629
2021-09-16 10:10:21.538591 : Epoch  7, Batch    515, Loss  0.862157, Average Loss  0.868694, Time  0.265926
2021-09-16 10:10:21.802979 : Epoch  5, Batch    491, Loss  0.844744, Average Loss  0.871707, Time  0.240837
2021-09-16 10:10:24.374098 : Epoch  5, Batch    492, Loss  0.887860, Average Loss  0.871784, Time  0.240078
2021-09-16 10:10:24.527061 : Epoch  7, Batch    516, Loss  0.850831, Average Loss  0.868554, Time  0.265883
2021-09-16 10:10:26.964158 : Epoch  5, Batch    493, Loss  0.863901, Average Loss  0.871749, Time  0.240274
2021-09-16 10:10:27.513026 : Epoch  7, Batch    517, Loss  0.872100, Average Loss  0.868606, Time  0.266173
2021-09-16 10:10:29.545579 : Epoch  5, Batch    494, Loss  0.869781, Average Loss  0.871811, Time  0.240123
2021-09-16 10:10:30.543835 : Epoch  7, Batch    518, Loss  0.880951, Average Loss  0.868738, Time  0.266366
2021-09-16 10:10:32.132158 : Epoch  5, Batch    495, Loss  0.865519, Average Loss  0.871740, Time  0.240012
2021-09-16 10:10:33.534524 : Epoch  7, Batch    519, Loss  0.862853, Average Loss  0.868753, Time  0.265395
2021-09-16 10:10:34.729146 : Epoch  5, Batch    496, Loss  0.863044, Average Loss  0.871741, Time  0.240329
2021-09-16 10:10:36.533441 : Epoch  7, Batch    520, Loss  0.864987, Average Loss  0.868762, Time  0.266828
2021-09-16 10:10:37.319118 : Epoch  5, Batch    497, Loss  0.855601, Average Loss  0.871585, Time  0.241228
2021-09-16 10:10:39.529505 : Epoch  7, Batch    521, Loss  0.863049, Average Loss  0.868774, Time  0.265749
2021-09-16 10:10:39.911169 : Epoch  5, Batch    498, Loss  0.878880, Average Loss  0.871688, Time  0.240325
2021-09-16 10:10:42.495788 : Epoch  5, Batch    499, Loss  0.859923, Average Loss  0.871684, Time  0.242617
2021-09-16 10:10:42.505659 : Epoch  7, Batch    522, Loss  0.869331, Average Loss  0.868785, Time  0.265916
2021-09-16 10:10:45.075219 : Epoch  5, Batch    500, Loss  0.863996, Average Loss  0.871687, Time  0.245931
2021-09-16 10:10:45.517205 : Epoch  7, Batch    523, Loss  0.876371, Average Loss  0.868849, Time  0.271327
2021-09-16 10:10:47.655827 : Epoch  5, Batch    501, Loss  0.886540, Average Loss  0.871779, Time  0.240952
2021-09-16 10:10:48.508409 : Epoch  7, Batch    524, Loss  0.858791, Average Loss  0.868728, Time  0.266923
2021-09-16 10:10:50.241069 : Epoch  5, Batch    502, Loss  0.873233, Average Loss  0.871831, Time  0.243062
2021-09-16 10:10:51.535202 : Epoch  7, Batch    525, Loss  0.893775, Average Loss  0.868889, Time  0.267605
2021-09-16 10:10:52.833105 : Epoch  5, Batch    503, Loss  0.874675, Average Loss  0.871774, Time  0.240361
2021-09-16 10:10:54.564557 : Epoch  7, Batch    526, Loss  0.872388, Average Loss  0.868930, Time  0.266323
2021-09-16 10:10:55.427885 : Epoch  5, Batch    504, Loss  0.883171, Average Loss  0.871838, Time  0.241475
2021-09-16 10:10:57.562853 : Epoch  7, Batch    527, Loss  0.876913, Average Loss  0.868921, Time  0.265656
2021-09-16 10:10:58.018407 : Epoch  5, Batch    505, Loss  0.876285, Average Loss  0.871738, Time  0.240277
2021-09-16 10:11:00.562801 : Epoch  7, Batch    528, Loss  0.840951, Average Loss  0.868749, Time  0.266166
2021-09-16 10:11:00.596167 : Epoch  5, Batch    506, Loss  0.881689, Average Loss  0.871850, Time  0.240242
2021-09-16 10:11:03.184238 : Epoch  5, Batch    507, Loss  0.855917, Average Loss  0.871735, Time  0.240770
2021-09-16 10:11:03.590296 : Epoch  7, Batch    529, Loss  0.872311, Average Loss  0.868758, Time  0.267463
2021-09-16 10:11:05.766605 : Epoch  5, Batch    508, Loss  0.863218, Average Loss  0.871603, Time  0.240197
2021-09-16 10:11:06.575489 : Epoch  7, Batch    530, Loss  0.870331, Average Loss  0.868636, Time  0.265551
2021-09-16 10:11:08.349140 : Epoch  5, Batch    509, Loss  0.881112, Average Loss  0.871620, Time  0.240131
2021-09-16 10:11:09.584272 : Epoch  7, Batch    531, Loss  0.849401, Average Loss  0.868549, Time  0.265858
2021-09-16 10:11:10.948444 : Epoch  5, Batch    510, Loss  0.870065, Average Loss  0.871675, Time  0.240624
2021-09-16 10:11:12.607339 : Epoch  7, Batch    532, Loss  0.882109, Average Loss  0.868632, Time  0.267043
2021-09-16 10:11:13.532706 : Epoch  5, Batch    511, Loss  0.863141, Average Loss  0.871554, Time  0.239787
2021-09-16 10:11:15.620368 : Epoch  7, Batch    533, Loss  0.869566, Average Loss  0.868649, Time  0.266483
2021-09-16 10:11:16.111711 : Epoch  5, Batch    512, Loss  0.847255, Average Loss  0.871392, Time  0.239818
2021-09-16 10:11:18.631186 : Epoch  7, Batch    534, Loss  0.881515, Average Loss  0.868732, Time  0.265257
2021-09-16 10:11:18.678710 : Epoch  5, Batch    513, Loss  0.873069, Average Loss  0.871574, Time  0.240020
2021-09-16 10:11:21.255607 : Epoch  5, Batch    514, Loss  0.877505, Average Loss  0.871543, Time  0.240518
2021-09-16 10:11:21.616387 : Epoch  7, Batch    535, Loss  0.876378, Average Loss  0.868851, Time  0.265280
2021-09-16 10:11:23.840936 : Epoch  5, Batch    515, Loss  0.865281, Average Loss  0.871526, Time  0.240437
2021-09-16 10:11:24.599463 : Epoch  7, Batch    536, Loss  0.856360, Average Loss  0.868827, Time  0.265738
2021-09-16 10:11:26.426500 : Epoch  5, Batch    516, Loss  0.883674, Average Loss  0.871537, Time  0.242177
2021-09-16 10:11:27.595770 : Epoch  7, Batch    537, Loss  0.872250, Average Loss  0.868858, Time  0.266484
2021-09-16 10:11:29.013529 : Epoch  5, Batch    517, Loss  0.876867, Average Loss  0.871676, Time  0.241377
2021-09-16 10:11:30.617999 : Epoch  7, Batch    538, Loss  0.863217, Average Loss  0.868826, Time  0.274066
2021-09-16 10:11:31.596882 : Epoch  5, Batch    518, Loss  0.858456, Average Loss  0.871599, Time  0.241600
2021-09-16 10:11:33.601532 : Epoch  7, Batch    539, Loss  0.863953, Average Loss  0.868834, Time  0.265297
2021-09-16 10:11:34.185420 : Epoch  5, Batch    519, Loss  0.871677, Average Loss  0.871700, Time  0.240453
2021-09-16 10:11:36.592502 : Epoch  7, Batch    540, Loss  0.874146, Average Loss  0.868861, Time  0.265934
2021-09-16 10:11:36.778181 : Epoch  5, Batch    520, Loss  0.866997, Average Loss  0.871626, Time  0.241907
2021-09-16 10:11:39.364936 : Epoch  5, Batch    521, Loss  0.889837, Average Loss  0.871673, Time  0.240167
2021-09-16 10:11:39.568321 : Epoch  7, Batch    541, Loss  0.897179, Average Loss  0.869023, Time  0.266284
2021-09-16 10:11:41.956188 : Epoch  5, Batch    522, Loss  0.849123, Average Loss  0.871661, Time  0.240672
2021-09-16 10:11:42.538510 : Epoch  7, Batch    542, Loss  0.874729, Average Loss  0.869068, Time  0.265244
2021-09-16 10:11:44.539197 : Epoch  5, Batch    523, Loss  0.865962, Average Loss  0.871605, Time  0.241319
2021-09-16 10:11:45.526103 : Epoch  7, Batch    543, Loss  0.873192, Average Loss  0.869130, Time  0.265633
2021-09-16 10:11:47.115959 : Epoch  5, Batch    524, Loss  0.860896, Average Loss  0.871563, Time  0.240179
2021-09-16 10:11:48.500893 : Epoch  7, Batch    544, Loss  0.848413, Average Loss  0.868980, Time  0.265594
2021-09-16 10:11:49.708624 : Epoch  5, Batch    525, Loss  0.880526, Average Loss  0.871610, Time  0.239856
2021-09-16 10:11:51.504613 : Epoch  7, Batch    545, Loss  0.883861, Average Loss  0.868922, Time  0.266833
2021-09-16 10:11:52.293946 : Epoch  5, Batch    526, Loss  0.855158, Average Loss  0.871442, Time  0.240600
2021-09-16 10:11:54.527223 : Epoch  7, Batch    546, Loss  0.867615, Average Loss  0.868895, Time  0.267309
2021-09-16 10:11:54.890171 : Epoch  5, Batch    527, Loss  0.847296, Average Loss  0.871312, Time  0.241876
2021-09-16 10:11:57.461829 : Epoch  5, Batch    528, Loss  0.882428, Average Loss  0.871335, Time  0.240861
2021-09-16 10:11:57.550371 : Epoch  7, Batch    547, Loss  0.884665, Average Loss  0.868951, Time  0.266805
2021-09-16 10:12:00.042197 : Epoch  5, Batch    529, Loss  0.858637, Average Loss  0.871192, Time  0.240181
2021-09-16 10:12:00.530994 : Epoch  7, Batch    548, Loss  0.857063, Average Loss  0.868868, Time  0.265828
2021-09-16 10:12:02.630360 : Epoch  5, Batch    530, Loss  0.858276, Average Loss  0.871010, Time  0.240315
2021-09-16 10:12:03.497599 : Epoch  7, Batch    549, Loss  0.885354, Average Loss  0.868914, Time  0.265775
2021-09-16 10:12:05.220453 : Epoch  5, Batch    531, Loss  0.890203, Average Loss  0.871082, Time  0.240247
2021-09-16 10:12:06.489898 : Epoch  7, Batch    550, Loss  0.863190, Average Loss  0.868780, Time  0.265566
2021-09-16 10:12:07.805093 : Epoch  5, Batch    532, Loss  0.872957, Average Loss  0.871164, Time  0.240564
2021-09-16 10:12:09.500542 : Epoch  7, Batch    551, Loss  0.857608, Average Loss  0.868725, Time  0.265883
2021-09-16 10:12:10.381941 : Epoch  5, Batch    533, Loss  0.871194, Average Loss  0.871130, Time  0.240227
2021-09-16 10:12:12.447515 : Epoch  7, Batch    552, Loss  0.883213, Average Loss  0.868745, Time  0.266545
2021-09-16 10:12:12.992184 : Epoch  5, Batch    534, Loss  0.865527, Average Loss  0.871147, Time  0.241481
2021-09-16 10:12:15.458071 : Epoch  7, Batch    553, Loss  0.880990, Average Loss  0.868862, Time  0.265100
2021-09-16 10:12:15.580384 : Epoch  5, Batch    535, Loss  0.883246, Average Loss  0.871221, Time  0.240044
2021-09-16 10:12:18.170117 : Epoch  5, Batch    536, Loss  0.881051, Average Loss  0.871295, Time  0.240127
2021-09-16 10:12:18.447763 : Epoch  7, Batch    554, Loss  0.862874, Average Loss  0.868837, Time  0.272853
2021-09-16 10:12:20.749741 : Epoch  5, Batch    537, Loss  0.867600, Average Loss  0.871153, Time  0.240705
2021-09-16 10:12:21.427527 : Epoch  7, Batch    555, Loss  0.883281, Average Loss  0.868976, Time  0.266135
2021-09-16 10:12:23.343861 : Epoch  5, Batch    538, Loss  0.857240, Average Loss  0.871123, Time  0.239950
2021-09-16 10:12:24.487211 : Epoch  7, Batch    556, Loss  0.868600, Average Loss  0.869089, Time  0.266143
2021-09-16 10:12:25.953194 : Epoch  5, Batch    539, Loss  0.885907, Average Loss  0.871134, Time  0.240095
2021-09-16 10:12:27.489751 : Epoch  7, Batch    557, Loss  0.864599, Average Loss  0.869095, Time  0.265439
2021-09-16 10:12:28.567781 : Epoch  5, Batch    540, Loss  0.882871, Average Loss  0.871264, Time  0.239969
2021-09-16 10:12:30.500224 : Epoch  7, Batch    558, Loss  0.860986, Average Loss  0.869069, Time  0.266217
2021-09-16 10:12:31.174449 : Epoch  5, Batch    541, Loss  0.860702, Average Loss  0.871180, Time  0.240561
2021-09-16 10:12:33.512039 : Epoch  7, Batch    559, Loss  0.865204, Average Loss  0.869009, Time  0.267366
2021-09-16 10:12:33.764839 : Epoch  5, Batch    542, Loss  0.866529, Average Loss  0.871233, Time  0.241531
2021-09-16 10:12:36.348871 : Epoch  5, Batch    543, Loss  0.880664, Average Loss  0.871145, Time  0.241242
2021-09-16 10:12:36.495258 : Epoch  7, Batch    560, Loss  0.881345, Average Loss  0.869161, Time  0.265331
2021-09-16 10:12:38.971636 : Epoch  5, Batch    544, Loss  0.844587, Average Loss  0.870959, Time  0.240162
2021-09-16 10:12:39.482088 : Epoch  7, Batch    561, Loss  0.864761, Average Loss  0.869260, Time  0.265305
2021-09-16 10:12:41.560856 : Epoch  5, Batch    545, Loss  0.868313, Average Loss  0.871002, Time  0.239443
2021-09-16 10:12:42.441502 : Epoch  7, Batch    562, Loss  0.857752, Average Loss  0.869130, Time  0.265321
2021-09-16 10:12:44.142446 : Epoch  5, Batch    546, Loss  0.863367, Average Loss  0.870889, Time  0.241023
2021-09-16 10:12:45.457207 : Epoch  7, Batch    563, Loss  0.865113, Average Loss  0.868974, Time  0.265663
2021-09-16 10:12:46.720166 : Epoch  5, Batch    547, Loss  0.855772, Average Loss  0.870795, Time  0.240536
2021-09-16 10:12:48.439015 : Epoch  7, Batch    564, Loss  0.851849, Average Loss  0.868988, Time  0.265322
2021-09-16 10:12:49.309099 : Epoch  5, Batch    548, Loss  0.874788, Average Loss  0.870848, Time  0.241223
2021-09-16 10:12:51.893567 : Epoch  5, Batch    549, Loss  0.879229, Average Loss  0.870864, Time  0.240211
2021-09-16 10:12:54.485392 : Epoch  5, Batch    550, Loss  0.873237, Average Loss  0.870826, Time  0.240219
2021-09-16 10:12:57.064502 : Epoch  5, Batch    551, Loss  0.855291, Average Loss  0.870666, Time  0.240283
2021-09-16 10:12:59.646884 : Epoch  5, Batch    552, Loss  0.885830, Average Loss  0.870800, Time  0.240380
2021-09-16 10:13:02.233081 : Epoch  5, Batch    553, Loss  0.880344, Average Loss  0.870805, Time  0.240242
2021-09-16 10:13:04.825727 : Epoch  5, Batch    554, Loss  0.877464, Average Loss  0.870787, Time  0.240032
2021-09-16 10:13:07.414041 : Epoch  5, Batch    555, Loss  0.863744, Average Loss  0.870854, Time  0.239923
2021-09-16 10:13:09.986906 : Epoch  5, Batch    556, Loss  0.868512, Average Loss  0.870813, Time  0.240563
2021-09-16 10:13:12.573080 : Epoch  5, Batch    557, Loss  0.878991, Average Loss  0.870738, Time  0.240126
2021-09-16 10:13:15.168267 : Epoch  5, Batch    558, Loss  0.877769, Average Loss  0.870825, Time  0.243345
2021-09-16 10:13:17.757052 : Epoch  5, Batch    559, Loss  0.869175, Average Loss  0.870819, Time  0.240363
2021-09-16 10:13:20.346433 : Epoch  5, Batch    560, Loss  0.859131, Average Loss  0.870839, Time  0.241471
2021-09-16 10:13:22.931904 : Epoch  5, Batch    561, Loss  0.859745, Average Loss  0.870803, Time  0.240020
2021-09-16 10:13:25.514413 : Epoch  5, Batch    562, Loss  0.864694, Average Loss  0.870710, Time  0.239849
2021-09-16 10:13:28.096057 : Epoch  5, Batch    563, Loss  0.870635, Average Loss  0.870645, Time  0.240959
2021-09-16 10:13:30.683381 : Epoch  5, Batch    564, Loss  0.862436, Average Loss  0.870671, Time  0.240243
2021-09-16 10:13:33.269082 : Epoch  5, Batch    565, Loss  0.880092, Average Loss  0.870741, Time  0.240984
2021-09-16 10:13:35.860642 : Epoch  5, Batch    566, Loss  0.864489, Average Loss  0.870652, Time  0.240064
2021-09-16 10:13:38.451822 : Epoch  5, Batch    567, Loss  0.871712, Average Loss  0.870590, Time  0.243371
2021-09-16 10:13:41.039703 : Epoch  5, Batch    568, Loss  0.879170, Average Loss  0.870582, Time  0.239971
2021-09-16 10:13:43.627082 : Epoch  5, Batch    569, Loss  0.872651, Average Loss  0.870598, Time  0.241183
2021-09-16 10:13:46.231285 : Epoch  5, Batch    570, Loss  0.881081, Average Loss  0.870734, Time  0.241067
2021-09-16 10:13:48.822155 : Epoch  5, Batch    571, Loss  0.868892, Average Loss  0.870697, Time  0.240672
2021-09-16 10:13:51.416859 : Epoch  5, Batch    572, Loss  0.879747, Average Loss  0.870765, Time  0.240415
2021-09-16 10:13:54.005708 : Epoch  5, Batch    573, Loss  0.868832, Average Loss  0.870704, Time  0.240271
2021-09-16 10:13:56.586681 : Epoch  5, Batch    574, Loss  0.899296, Average Loss  0.870770, Time  0.240527
2021-09-16 10:13:59.170399 : Epoch  5, Batch    575, Loss  0.867831, Average Loss  0.870731, Time  0.239819
2021-09-16 10:14:10.617159 : Epoch  5, Batch    576, Loss  0.859908, Average Loss  0.870775, Time  0.280633
2021-09-16 10:17:30.859536 : CheckPoint: Validation Loss  0.00030490, Best Loss  0.00029295
2021-09-16 10:17:33.873577 : Epoch  7, Batch    565, Loss  0.860840, Average Loss  0.868978, Time  0.267768
2021-09-16 10:17:36.859735 : Epoch  7, Batch    566, Loss  0.844779, Average Loss  0.868930, Time  0.264915
2021-09-16 10:17:39.872525 : Epoch  7, Batch    567, Loss  0.876851, Average Loss  0.869079, Time  0.278938
2021-09-16 10:17:42.858576 : Epoch  7, Batch    568, Loss  0.879609, Average Loss  0.869072, Time  0.266331
2021-09-16 10:17:45.856549 : Epoch  7, Batch    569, Loss  0.867808, Average Loss  0.869143, Time  0.266419
2021-09-16 10:17:48.865747 : Epoch  7, Batch    570, Loss  0.860468, Average Loss  0.869154, Time  0.265374
2021-09-16 10:17:51.850836 : Epoch  7, Batch    571, Loss  0.886237, Average Loss  0.869227, Time  0.266582
2021-09-16 10:17:54.842239 : Epoch  7, Batch    572, Loss  0.873410, Average Loss  0.869287, Time  0.265242
2021-09-16 10:17:57.850533 : Epoch  7, Batch    573, Loss  0.874212, Average Loss  0.869193, Time  0.265728
2021-09-16 10:18:00.852967 : Epoch  7, Batch    574, Loss  0.882918, Average Loss  0.869290, Time  0.265259
2021-09-16 10:18:03.842075 : Epoch  7, Batch    575, Loss  0.871742, Average Loss  0.869370, Time  0.266379
2021-09-16 10:18:06.833231 : Epoch  7, Batch    576, Loss  0.877098, Average Loss  0.869429, Time  0.265884
2021-09-16 10:18:09.827373 : Epoch  7, Batch    577, Loss  0.859030, Average Loss  0.869396, Time  0.265063
2021-09-16 10:18:11.133880 : CheckPoint: Validation Loss  0.00030402, Best Loss  0.00029226
2021-09-16 10:18:12.829765 : Epoch  7, Batch    578, Loss  0.849656, Average Loss  0.869402, Time  0.265471
2021-09-16 10:18:13.763928 : Epoch  5, Batch    577, Loss  0.883618, Average Loss  0.870865, Time  0.270515
2021-09-16 10:18:15.829217 : Epoch  7, Batch    579, Loss  0.878112, Average Loss  0.869454, Time  0.265720
2021-09-16 10:18:16.355862 : Epoch  5, Batch    578, Loss  0.878102, Average Loss  0.870923, Time  0.243603
2021-09-16 10:18:18.797609 : Epoch  7, Batch    580, Loss  0.881707, Average Loss  0.869394, Time  0.266379
2021-09-16 10:18:18.941019 : Epoch  5, Batch    579, Loss  0.851329, Average Loss  0.870835, Time  0.239622
2021-09-16 10:18:21.516073 : Epoch  5, Batch    580, Loss  0.882720, Average Loss  0.870922, Time  0.240920
2021-09-16 10:18:21.833701 : Epoch  7, Batch    581, Loss  0.867693, Average Loss  0.869290, Time  0.266407
2021-09-16 10:18:24.098264 : Epoch  5, Batch    581, Loss  0.869537, Average Loss  0.870917, Time  0.239960
2021-09-16 10:18:24.849724 : Epoch  7, Batch    582, Loss  0.853733, Average Loss  0.869248, Time  0.278345
2021-09-16 10:18:26.679754 : Epoch  5, Batch    582, Loss  0.864590, Average Loss  0.870990, Time  0.240062
2021-09-16 10:18:27.855533 : Epoch  7, Batch    583, Loss  0.875738, Average Loss  0.869272, Time  0.267938
2021-09-16 10:18:29.283556 : Epoch  5, Batch    583, Loss  0.866858, Average Loss  0.870911, Time  0.240553
2021-09-16 10:18:30.856497 : Epoch  7, Batch    584, Loss  0.868352, Average Loss  0.869306, Time  0.266350
2021-09-16 10:18:31.873179 : Epoch  5, Batch    584, Loss  0.866309, Average Loss  0.870897, Time  0.242139
2021-09-16 10:18:33.835732 : Epoch  7, Batch    585, Loss  0.859709, Average Loss  0.869283, Time  0.265777
2021-09-16 10:18:34.466974 : Epoch  5, Batch    585, Loss  0.872804, Average Loss  0.870974, Time  0.241297
2021-09-16 10:18:36.818092 : Epoch  7, Batch    586, Loss  0.873398, Average Loss  0.869323, Time  0.266685
2021-09-16 10:18:37.054420 : Epoch  5, Batch    586, Loss  0.876203, Average Loss  0.871042, Time  0.240068
2021-09-16 10:18:39.630815 : Epoch  5, Batch    587, Loss  0.875713, Average Loss  0.871073, Time  0.240330
2021-09-16 10:18:39.831620 : Epoch  7, Batch    587, Loss  0.852962, Average Loss  0.869230, Time  0.266758
2021-09-16 10:18:42.216490 : Epoch  5, Batch    588, Loss  0.877307, Average Loss  0.871083, Time  0.240045
2021-09-16 10:18:42.821486 : Epoch  7, Batch    588, Loss  0.880487, Average Loss  0.869303, Time  0.266495
2021-09-16 10:18:44.798834 : Epoch  5, Batch    589, Loss  0.876062, Average Loss  0.871156, Time  0.240276
2021-09-16 10:18:45.847881 : Epoch  7, Batch    589, Loss  0.850654, Average Loss  0.869208, Time  0.266311
2021-09-16 10:18:47.377848 : Epoch  5, Batch    590, Loss  0.891111, Average Loss  0.871159, Time  0.240119
2021-09-16 10:18:48.866195 : Epoch  7, Batch    590, Loss  0.866488, Average Loss  0.869235, Time  0.265390
2021-09-16 10:18:49.967865 : Epoch  5, Batch    591, Loss  0.859900, Average Loss  0.871130, Time  0.239811
2021-09-16 10:18:51.880921 : Epoch  7, Batch    591, Loss  0.871735, Average Loss  0.869285, Time  0.264836
2021-09-16 10:18:52.553231 : Epoch  5, Batch    592, Loss  0.860641, Average Loss  0.871112, Time  0.241793
2021-09-16 10:18:54.876059 : Epoch  7, Batch    592, Loss  0.860580, Average Loss  0.869236, Time  0.265608
2021-09-16 10:18:55.141816 : Epoch  5, Batch    593, Loss  0.858069, Average Loss  0.871056, Time  0.240521
2021-09-16 10:18:57.716693 : Epoch  5, Batch    594, Loss  0.885194, Average Loss  0.871185, Time  0.240035
2021-09-16 10:18:57.865708 : Epoch  7, Batch    593, Loss  0.857498, Average Loss  0.869134, Time  0.265375
2021-09-16 10:19:00.290884 : Epoch  5, Batch    595, Loss  0.889948, Average Loss  0.871268, Time  0.239938
2021-09-16 10:19:00.850326 : Epoch  7, Batch    594, Loss  0.866387, Average Loss  0.869126, Time  0.265935
2021-09-16 10:19:02.885578 : Epoch  5, Batch    596, Loss  0.867122, Average Loss  0.871235, Time  0.240280
2021-09-16 10:19:03.849927 : Epoch  7, Batch    595, Loss  0.885756, Average Loss  0.869208, Time  0.265872
2021-09-16 10:19:05.470416 : Epoch  5, Batch    597, Loss  0.868245, Average Loss  0.871135, Time  0.241899
2021-09-16 10:19:06.832115 : Epoch  7, Batch    596, Loss  0.884262, Average Loss  0.869299, Time  0.264961
2021-09-16 10:19:08.057471 : Epoch  5, Batch    598, Loss  0.869843, Average Loss  0.871010, Time  0.240390
2021-09-16 10:19:09.809327 : Epoch  7, Batch    597, Loss  0.877566, Average Loss  0.869405, Time  0.278074
2021-09-16 10:19:10.631204 : Epoch  5, Batch    599, Loss  0.873238, Average Loss  0.870993, Time  0.240254
2021-09-16 10:19:12.794950 : Epoch  7, Batch    598, Loss  0.869933, Average Loss  0.869418, Time  0.266200
2021-09-16 10:19:13.222398 : Epoch  5, Batch    600, Loss  0.854065, Average Loss  0.870949, Time  0.239844
2021-09-16 10:19:15.787909 : Epoch  7, Batch    599, Loss  0.845349, Average Loss  0.869229, Time  0.266269
2021-09-16 10:19:15.790096 : Epoch  5, Batch    601, Loss  0.884840, Average Loss  0.871094, Time  0.242254
2021-09-16 10:19:18.411408 : Epoch  5, Batch    602, Loss  0.858970, Average Loss  0.871144, Time  0.239901
2021-09-16 10:19:18.790258 : Epoch  7, Batch    600, Loss  0.896700, Average Loss  0.869365, Time  0.265005
2021-09-16 10:19:20.996883 : Epoch  5, Batch    603, Loss  0.881466, Average Loss  0.871192, Time  0.240806
2021-09-16 10:19:21.766272 : Epoch  7, Batch    601, Loss  0.881867, Average Loss  0.869415, Time  0.265667
2021-09-16 10:19:23.581482 : Epoch  5, Batch    604, Loss  0.843694, Average Loss  0.871128, Time  0.240629
2021-09-16 10:19:24.793745 : Epoch  7, Batch    602, Loss  0.881477, Average Loss  0.869424, Time  0.266441
2021-09-16 10:19:26.176879 : Epoch  5, Batch    605, Loss  0.878628, Average Loss  0.871155, Time  0.244417
2021-09-16 10:19:27.793177 : Epoch  7, Batch    603, Loss  0.855017, Average Loss  0.869375, Time  0.265510
2021-09-16 10:19:28.770505 : Epoch  5, Batch    606, Loss  0.876469, Average Loss  0.871075, Time  0.240421
2021-09-16 10:19:30.765088 : Epoch  7, Batch    604, Loss  0.853118, Average Loss  0.869304, Time  0.266069
2021-09-16 10:19:31.356219 : Epoch  5, Batch    607, Loss  0.873333, Average Loss  0.871095, Time  0.240328
2021-09-16 10:19:33.747687 : Epoch  7, Batch    605, Loss  0.868744, Average Loss  0.869219, Time  0.265938
2021-09-16 10:19:33.952022 : Epoch  5, Batch    608, Loss  0.848923, Average Loss  0.871030, Time  0.240249
2021-09-16 10:19:36.527988 : Epoch  5, Batch    609, Loss  0.854791, Average Loss  0.870950, Time  0.241065
2021-09-16 10:19:36.757452 : Epoch  7, Batch    606, Loss  0.842699, Average Loss  0.868995, Time  0.267761
2021-09-16 10:19:39.117264 : Epoch  5, Batch    610, Loss  0.888053, Average Loss  0.871074, Time  0.239953
2021-09-16 10:19:39.757915 : Epoch  7, Batch    607, Loss  0.865963, Average Loss  0.869161, Time  0.265293
2021-09-16 10:19:41.726211 : Epoch  5, Batch    611, Loss  0.847641, Average Loss  0.870972, Time  0.240637
2021-09-16 10:19:42.755187 : Epoch  7, Batch    608, Loss  0.863991, Average Loss  0.869151, Time  0.265845
2021-09-16 10:19:44.306344 : Epoch  5, Batch    612, Loss  0.866492, Average Loss  0.870834, Time  0.240777
2021-09-16 10:19:45.737169 : Epoch  7, Batch    609, Loss  0.865584, Average Loss  0.869399, Time  0.265741
2021-09-16 10:19:46.899091 : Epoch  5, Batch    613, Loss  0.863445, Average Loss  0.870814, Time  0.241311
2021-09-16 10:19:48.735163 : Epoch  7, Batch    610, Loss  0.871741, Average Loss  0.869512, Time  0.266667
2021-09-16 10:19:49.483956 : Epoch  5, Batch    614, Loss  0.867497, Average Loss  0.870859, Time  0.239978
2021-09-16 10:19:51.742439 : Epoch  7, Batch    611, Loss  0.880638, Average Loss  0.869531, Time  0.265446
2021-09-16 10:19:52.074802 : Epoch  5, Batch    615, Loss  0.862809, Average Loss  0.870883, Time  0.240595
2021-09-16 10:19:54.653035 : Epoch  5, Batch    616, Loss  0.860153, Average Loss  0.870817, Time  0.240926
2021-09-16 10:19:54.735909 : Epoch  7, Batch    612, Loss  0.877449, Average Loss  0.869589, Time  0.279134
2021-09-16 10:19:57.252082 : Epoch  5, Batch    617, Loss  0.857701, Average Loss  0.870584, Time  0.241840
2021-09-16 10:19:57.742685 : Epoch  7, Batch    613, Loss  0.852096, Average Loss  0.869386, Time  0.265903
2021-09-16 10:19:59.843097 : Epoch  5, Batch    618, Loss  0.862368, Average Loss  0.870581, Time  0.240544
2021-09-16 10:20:00.736341 : Epoch  7, Batch    614, Loss  0.877920, Average Loss  0.869473, Time  0.266322
2021-09-16 10:20:02.440536 : Epoch  5, Batch    619, Loss  0.867906, Average Loss  0.870520, Time  0.240196
2021-09-16 10:20:03.715769 : Epoch  7, Batch    615, Loss  0.884933, Average Loss  0.869547, Time  0.265170
2021-09-16 10:20:05.025860 : Epoch  5, Batch    620, Loss  0.839624, Average Loss  0.870325, Time  0.240790
2021-09-16 10:20:06.706717 : Epoch  7, Batch    616, Loss  0.856636, Average Loss  0.869574, Time  0.264881
2021-09-16 10:20:07.608816 : Epoch  5, Batch    621, Loss  0.883699, Average Loss  0.870385, Time  0.240238
2021-09-16 10:20:09.721103 : Epoch  7, Batch    617, Loss  0.854517, Average Loss  0.869373, Time  0.266116
2021-09-16 10:20:10.201392 : Epoch  5, Batch    622, Loss  0.862020, Average Loss  0.870395, Time  0.242962
2021-09-16 10:20:12.710986 : Epoch  7, Batch    618, Loss  0.862274, Average Loss  0.869385, Time  0.264488
2021-09-16 10:20:12.786397 : Epoch  5, Batch    623, Loss  0.885195, Average Loss  0.870457, Time  0.241662
2021-09-16 10:20:15.376407 : Epoch  5, Batch    624, Loss  0.882554, Average Loss  0.870507, Time  0.240798
2021-09-16 10:20:15.696489 : Epoch  7, Batch    619, Loss  0.854110, Average Loss  0.869275, Time  0.265419
2021-09-16 10:20:17.958960 : Epoch  5, Batch    625, Loss  0.870585, Average Loss  0.870466, Time  0.241218
2021-09-16 10:20:18.698525 : Epoch  7, Batch    620, Loss  0.858895, Average Loss  0.869145, Time  0.266131
2021-09-16 10:20:20.545322 : Epoch  5, Batch    626, Loss  0.869491, Average Loss  0.870401, Time  0.240157
2021-09-16 10:20:21.617081 : Epoch  7, Batch    621, Loss  0.863413, Average Loss  0.869184, Time  0.263900
2021-09-16 10:20:23.151149 : Epoch  5, Batch    627, Loss  0.883897, Average Loss  0.870425, Time  0.242223
2021-09-16 10:20:24.620775 : Epoch  7, Batch    622, Loss  0.848510, Average Loss  0.869158, Time  0.265907
2021-09-16 10:20:25.727461 : Epoch  5, Batch    628, Loss  0.864648, Average Loss  0.870468, Time  0.241238
2021-09-16 10:20:27.628599 : Epoch  7, Batch    623, Loss  0.863281, Average Loss  0.869166, Time  0.265814
2021-09-16 10:20:28.322296 : Epoch  5, Batch    629, Loss  0.873093, Average Loss  0.870421, Time  0.241181
2021-09-16 10:20:30.635997 : Epoch  7, Batch    624, Loss  0.872959, Average Loss  0.869156, Time  0.267614
2021-09-16 10:20:30.909659 : Epoch  5, Batch    630, Loss  0.877743, Average Loss  0.870514, Time  0.240788
2021-09-16 10:20:33.490006 : Epoch  5, Batch    631, Loss  0.869965, Average Loss  0.870555, Time  0.240252
2021-09-16 10:20:33.667975 : Epoch  7, Batch    625, Loss  0.863203, Average Loss  0.869166, Time  0.266603
2021-09-16 10:20:36.076100 : Epoch  5, Batch    632, Loss  0.877321, Average Loss  0.870651, Time  0.240294
2021-09-16 10:20:36.714124 : Epoch  7, Batch    626, Loss  0.855405, Average Loss  0.869063, Time  0.267578
2021-09-16 10:20:38.673453 : Epoch  5, Batch    633, Loss  0.883750, Average Loss  0.870739, Time  0.240150
2021-09-16 10:20:39.738520 : Epoch  7, Batch    627, Loss  0.893856, Average Loss  0.869208, Time  0.278014
2021-09-16 10:20:41.255380 : Epoch  5, Batch    634, Loss  0.870574, Average Loss  0.870668, Time  0.240501
2021-09-16 10:20:42.743559 : Epoch  7, Batch    628, Loss  0.860722, Average Loss  0.869125, Time  0.266313
2021-09-16 10:20:43.848412 : Epoch  5, Batch    635, Loss  0.859583, Average Loss  0.870563, Time  0.242778
2021-09-16 10:20:45.739922 : Epoch  7, Batch    629, Loss  0.859773, Average Loss  0.869110, Time  0.265304
2021-09-16 10:20:46.439806 : Epoch  5, Batch    636, Loss  0.870035, Average Loss  0.870478, Time  0.243164
2021-09-16 10:20:48.730654 : Epoch  7, Batch    630, Loss  0.876327, Average Loss  0.869179, Time  0.266617
2021-09-16 10:20:49.027712 : Epoch  5, Batch    637, Loss  0.866368, Average Loss  0.870397, Time  0.239818
2021-09-16 10:20:51.603430 : Epoch  5, Batch    638, Loss  0.874425, Average Loss  0.870367, Time  0.240560
2021-09-16 10:20:51.767205 : Epoch  7, Batch    631, Loss  0.876922, Average Loss  0.869131, Time  0.266346
2021-09-16 10:20:54.189671 : Epoch  5, Batch    639, Loss  0.852737, Average Loss  0.870232, Time  0.240703
2021-09-16 10:20:54.777374 : Epoch  7, Batch    632, Loss  0.878314, Average Loss  0.869119, Time  0.265285
2021-09-16 10:20:56.773054 : Epoch  5, Batch    640, Loss  0.862100, Average Loss  0.870124, Time  0.240665
2021-09-16 10:20:57.778435 : Epoch  7, Batch    633, Loss  0.878260, Average Loss  0.869204, Time  0.265276
2021-09-16 10:20:59.358115 : Epoch  5, Batch    641, Loss  0.882026, Average Loss  0.870193, Time  0.240103
2021-09-16 10:21:00.758860 : Epoch  7, Batch    634, Loss  0.861144, Average Loss  0.869199, Time  0.265167
2021-09-16 10:21:01.953116 : Epoch  5, Batch    642, Loss  0.877822, Average Loss  0.870194, Time  0.241328
2021-09-16 10:21:03.728748 : Epoch  7, Batch    635, Loss  0.844923, Average Loss  0.869144, Time  0.267486
2021-09-16 10:21:04.548061 : Epoch  5, Batch    643, Loss  0.849862, Average Loss  0.870077, Time  0.240860
2021-09-16 10:21:06.720669 : Epoch  7, Batch    636, Loss  0.853025, Average Loss  0.869032, Time  0.265421
2021-09-16 10:21:07.144420 : Epoch  5, Batch    644, Loss  0.885512, Average Loss  0.870242, Time  0.242364
2021-09-16 10:21:09.697449 : Epoch  7, Batch    637, Loss  0.860761, Average Loss  0.868943, Time  0.265181
2021-09-16 10:21:09.724427 : Epoch  5, Batch    645, Loss  0.878676, Average Loss  0.870287, Time  0.239866
2021-09-16 10:21:12.312653 : Epoch  5, Batch    646, Loss  0.870982, Average Loss  0.870285, Time  0.239961
2021-09-16 10:21:12.661504 : Epoch  7, Batch    638, Loss  0.870622, Average Loss  0.868917, Time  0.264789
2021-09-16 10:21:14.903246 : Epoch  5, Batch    647, Loss  0.880668, Average Loss  0.870292, Time  0.240693
2021-09-16 10:21:15.632904 : Epoch  7, Batch    639, Loss  0.881083, Average Loss  0.868944, Time  0.266589
2021-09-16 10:21:17.508017 : Epoch  5, Batch    648, Loss  0.884126, Average Loss  0.870415, Time  0.242381
2021-09-16 10:21:18.622557 : Epoch  7, Batch    640, Loss  0.864434, Average Loss  0.868969, Time  0.266101
2021-09-16 10:21:20.091655 : Epoch  5, Batch    649, Loss  0.859249, Average Loss  0.870364, Time  0.240080
2021-09-16 10:21:21.601067 : Epoch  7, Batch    641, Loss  0.898744, Average Loss  0.869161, Time  0.265294
2021-09-16 10:21:22.682717 : Epoch  5, Batch    650, Loss  0.873312, Average Loss  0.870426, Time  0.242940
2021-09-16 10:21:24.648381 : Epoch  7, Batch    642, Loss  0.875574, Average Loss  0.869242, Time  0.281698
2021-09-16 10:21:25.257426 : Epoch  5, Batch    651, Loss  0.868759, Average Loss  0.870470, Time  0.241385
2021-09-16 10:21:27.646839 : Epoch  7, Batch    643, Loss  0.863287, Average Loss  0.869128, Time  0.265649
2021-09-16 10:21:27.855430 : Epoch  5, Batch    652, Loss  0.873384, Average Loss  0.870450, Time  0.240458
2021-09-16 10:21:30.434613 : Epoch  5, Batch    653, Loss  0.881308, Average Loss  0.870473, Time  0.240872
2021-09-16 10:21:30.627034 : Epoch  7, Batch    644, Loss  0.872570, Average Loss  0.869153, Time  0.266388
2021-09-16 10:21:33.024196 : Epoch  5, Batch    654, Loss  0.878980, Average Loss  0.870473, Time  0.240251
2021-09-16 10:21:33.599285 : Epoch  7, Batch    645, Loss  0.857066, Average Loss  0.869053, Time  0.266525
2021-09-16 10:21:35.613393 : Epoch  5, Batch    655, Loss  0.860570, Average Loss  0.870495, Time  0.239995
2021-09-16 10:21:36.617747 : Epoch  7, Batch    646, Loss  0.866962, Average Loss  0.869048, Time  0.266212
2021-09-16 10:21:38.200632 : Epoch  5, Batch    656, Loss  0.864951, Average Loss  0.870478, Time  0.239913
2021-09-16 10:21:39.616456 : Epoch  7, Batch    647, Loss  0.891290, Average Loss  0.869175, Time  0.265914
2021-09-16 10:21:40.783408 : Epoch  5, Batch    657, Loss  0.859692, Average Loss  0.870401, Time  0.239831
2021-09-16 10:21:42.619183 : Epoch  7, Batch    648, Loss  0.855628, Average Loss  0.869171, Time  0.265103
2021-09-16 10:21:43.368379 : Epoch  5, Batch    658, Loss  0.861188, Average Loss  0.870275, Time  0.240089
2021-09-16 10:21:45.609616 : Epoch  7, Batch    649, Loss  0.873128, Average Loss  0.869138, Time  0.265080
2021-09-16 10:21:45.947415 : Epoch  5, Batch    659, Loss  0.867704, Average Loss  0.870282, Time  0.241673
2021-09-16 10:21:48.524914 : Epoch  5, Batch    660, Loss  0.850095, Average Loss  0.870155, Time  0.240186
2021-09-16 10:21:48.605471 : Epoch  7, Batch    650, Loss  0.868364, Average Loss  0.869063, Time  0.266435
2021-09-16 10:21:51.123082 : Epoch  5, Batch    661, Loss  0.878276, Average Loss  0.870251, Time  0.240119
2021-09-16 10:21:51.615565 : Epoch  7, Batch    651, Loss  0.866086, Average Loss  0.869027, Time  0.266746
2021-09-16 10:21:53.710035 : Epoch  5, Batch    662, Loss  0.874201, Average Loss  0.870348, Time  0.240893
2021-09-16 10:21:54.586215 : Epoch  7, Batch    652, Loss  0.861973, Average Loss  0.869070, Time  0.266050
2021-09-16 10:21:56.298972 : Epoch  5, Batch    663, Loss  0.873523, Average Loss  0.870293, Time  0.240067
2021-09-16 10:21:57.606837 : Epoch  7, Batch    653, Loss  0.877243, Average Loss  0.869187, Time  0.266222
2021-09-16 10:21:58.878138 : Epoch  5, Batch    664, Loss  0.881336, Average Loss  0.870382, Time  0.242028
2021-09-16 10:22:00.600733 : Epoch  7, Batch    654, Loss  0.867223, Average Loss  0.869099, Time  0.266764
2021-09-16 10:22:01.459931 : Epoch  5, Batch    665, Loss  0.871466, Average Loss  0.870409, Time  0.239870
2021-09-16 10:22:03.578273 : Epoch  7, Batch    655, Loss  0.877349, Average Loss  0.869196, Time  0.266050
2021-09-16 10:22:04.069288 : Epoch  5, Batch    666, Loss  0.856262, Average Loss  0.870272, Time  0.239891
2021-09-16 10:22:06.566007 : Epoch  7, Batch    656, Loss  0.872685, Average Loss  0.869225, Time  0.265746
2021-09-16 10:22:06.644032 : Epoch  5, Batch    667, Loss  0.878482, Average Loss  0.870283, Time  0.240403
2021-09-16 10:22:09.246546 : Epoch  5, Batch    668, Loss  0.865596, Average Loss  0.870282, Time  0.240706
2021-09-16 10:22:09.551098 : Epoch  7, Batch    657, Loss  0.873544, Average Loss  0.869225, Time  0.275113
2021-09-16 10:22:11.821865 : Epoch  5, Batch    669, Loss  0.865786, Average Loss  0.870275, Time  0.241717
2021-09-16 10:22:12.547952 : Epoch  7, Batch    658, Loss  0.875418, Average Loss  0.869339, Time  0.265831
2021-09-16 10:22:14.411885 : Epoch  5, Batch    670, Loss  0.868202, Average Loss  0.870197, Time  0.241713
2021-09-16 10:22:15.538116 : Epoch  7, Batch    659, Loss  0.866307, Average Loss  0.869324, Time  0.265790
2021-09-16 10:22:17.004904 : Epoch  5, Batch    671, Loss  0.883564, Average Loss  0.870172, Time  0.243530
2021-09-16 10:22:18.539398 : Epoch  7, Batch    660, Loss  0.870842, Average Loss  0.869345, Time  0.265579
2021-09-16 10:22:19.575821 : Epoch  5, Batch    672, Loss  0.887989, Average Loss  0.870208, Time  0.240444
2021-09-16 10:22:21.536417 : Epoch  7, Batch    661, Loss  0.881319, Average Loss  0.869394, Time  0.265260
2021-09-16 10:22:22.152128 : Epoch  5, Batch    673, Loss  0.861713, Average Loss  0.870187, Time  0.241443
2021-09-16 10:22:24.517662 : Epoch  7, Batch    662, Loss  0.878442, Average Loss  0.869479, Time  0.265832
2021-09-16 10:22:24.735267 : Epoch  5, Batch    674, Loss  0.865096, Average Loss  0.870100, Time  0.241297
2021-09-16 10:22:27.314621 : Epoch  5, Batch    675, Loss  0.865702, Average Loss  0.870055, Time  0.240475
2021-09-16 10:22:27.539643 : Epoch  7, Batch    663, Loss  0.854421, Average Loss  0.869366, Time  0.265697
2021-09-16 10:22:29.901836 : Epoch  5, Batch    676, Loss  0.871527, Average Loss  0.870143, Time  0.240751
2021-09-16 10:22:30.550530 : Epoch  7, Batch    664, Loss  0.876343, Average Loss  0.869340, Time  0.266602
2021-09-16 10:26:32.968748 : CheckPoint: Validation Loss  0.00030687, Best Loss  0.00029226
2021-09-16 10:26:35.563495 : Epoch  5, Batch    677, Loss  0.870395, Average Loss  0.870156, Time  0.241524
2021-09-16 10:26:38.151927 : Epoch  5, Batch    678, Loss  0.857555, Average Loss  0.870056, Time  0.240036
2021-09-16 10:26:40.738400 : Epoch  5, Batch    679, Loss  0.872855, Average Loss  0.870086, Time  0.240847
2021-09-16 10:26:43.319541 : Epoch  5, Batch    680, Loss  0.871325, Average Loss  0.870090, Time  0.239964
2021-09-16 10:26:45.901158 : Epoch  5, Batch    681, Loss  0.879286, Average Loss  0.870187, Time  0.241171
2021-09-16 10:26:48.477718 : Epoch  5, Batch    682, Loss  0.883151, Average Loss  0.870382, Time  0.241631
2021-09-16 10:26:51.057650 : Epoch  5, Batch    683, Loss  0.848592, Average Loss  0.870315, Time  0.240035
2021-09-16 10:26:53.648689 : Epoch  5, Batch    684, Loss  0.874466, Average Loss  0.870361, Time  0.240129
2021-09-16 10:26:56.232168 : Epoch  5, Batch    685, Loss  0.858657, Average Loss  0.870243, Time  0.242625
2021-09-16 10:26:58.816070 : Epoch  5, Batch    686, Loss  0.854010, Average Loss  0.870128, Time  0.242861
2021-09-16 10:27:01.398176 : Epoch  5, Batch    687, Loss  0.880545, Average Loss  0.870164, Time  0.243531
2021-09-16 10:27:03.982983 : Epoch  5, Batch    688, Loss  0.887309, Average Loss  0.870209, Time  0.240264
2021-09-16 10:27:06.562316 : Epoch  5, Batch    689, Loss  0.875507, Average Loss  0.870135, Time  0.240244
2021-09-16 10:27:09.146147 : Epoch  5, Batch    690, Loss  0.868445, Average Loss  0.870032, Time  0.242610
2021-09-16 10:27:10.519242 : CheckPoint: Validation Loss  0.00029973, Best Loss  0.00029295
2021-09-16 10:27:11.728204 : Epoch  5, Batch    691, Loss  0.872640, Average Loss  0.870172, Time  0.240353
2021-09-16 10:27:13.510513 : Epoch  7, Batch    665, Loss  0.865232, Average Loss  0.869231, Time  0.268256
2021-09-16 10:27:14.316920 : Epoch  5, Batch    692, Loss  0.875673, Average Loss  0.870111, Time  0.240405
2021-09-16 10:27:16.503580 : Epoch  7, Batch    666, Loss  0.863173, Average Loss  0.869224, Time  0.266492
2021-09-16 10:27:16.904903 : Epoch  5, Batch    693, Loss  0.868239, Average Loss  0.870133, Time  0.240948
2021-09-16 10:27:19.480425 : Epoch  5, Batch    694, Loss  0.866688, Average Loss  0.870117, Time  0.239983
2021-09-16 10:27:19.503391 : Epoch  7, Batch    667, Loss  0.872926, Average Loss  0.869219, Time  0.265546
2021-09-16 10:27:22.065023 : Epoch  5, Batch    695, Loss  0.870232, Average Loss  0.870141, Time  0.240172
2021-09-16 10:27:22.484580 : Epoch  7, Batch    668, Loss  0.872313, Average Loss  0.869156, Time  0.265466
2021-09-16 10:27:24.652962 : Epoch  5, Batch    696, Loss  0.880725, Average Loss  0.870229, Time  0.240638
2021-09-16 10:27:25.472141 : Epoch  7, Batch    669, Loss  0.882421, Average Loss  0.869224, Time  0.266486
2021-09-16 10:27:27.245429 : Epoch  5, Batch    697, Loss  0.870039, Average Loss  0.870301, Time  0.239682
2021-09-16 10:27:28.498173 : Epoch  7, Batch    670, Loss  0.886902, Average Loss  0.869307, Time  0.264939
2021-09-16 10:27:29.847717 : Epoch  5, Batch    698, Loss  0.890398, Average Loss  0.870359, Time  0.240693
2021-09-16 10:27:31.521961 : Epoch  7, Batch    671, Loss  0.860144, Average Loss  0.869329, Time  0.277745
2021-09-16 10:27:32.422195 : Epoch  5, Batch    699, Loss  0.847451, Average Loss  0.870296, Time  0.240154
2021-09-16 10:27:34.511933 : Epoch  7, Batch    672, Loss  0.874722, Average Loss  0.869335, Time  0.267360
2021-09-16 10:27:35.012230 : Epoch  5, Batch    700, Loss  0.870028, Average Loss  0.870327, Time  0.240182
2021-09-16 10:27:37.495332 : Epoch  7, Batch    673, Loss  0.884378, Average Loss  0.869417, Time  0.265059
2021-09-16 10:27:37.573883 : Epoch  5, Batch    701, Loss  0.857422, Average Loss  0.870181, Time  0.240283
2021-09-16 10:27:40.138843 : Epoch  5, Batch    702, Loss  0.873218, Average Loss  0.870181, Time  0.240112
2021-09-16 10:27:40.494599 : Epoch  7, Batch    674, Loss  0.867194, Average Loss  0.869336, Time  0.265729
2021-09-16 10:27:42.713433 : Epoch  5, Batch    703, Loss  0.861121, Average Loss  0.870113, Time  0.240084
2021-09-16 10:27:43.446090 : Epoch  7, Batch    675, Loss  0.862677, Average Loss  0.869199, Time  0.266576
2021-09-16 10:27:45.304388 : Epoch  5, Batch    704, Loss  0.866174, Average Loss  0.870028, Time  0.241229
2021-09-16 10:27:46.434827 : Epoch  7, Batch    676, Loss  0.866654, Average Loss  0.869206, Time  0.265232
2021-09-16 10:27:47.885146 : Epoch  5, Batch    705, Loss  0.869005, Average Loss  0.869992, Time  0.240431
2021-09-16 10:27:49.415499 : Epoch  7, Batch    677, Loss  0.864185, Average Loss  0.869163, Time  0.265416
2021-09-16 10:27:50.468354 : Epoch  5, Batch    706, Loss  0.862762, Average Loss  0.869897, Time  0.240306
2021-09-16 10:27:52.389806 : Epoch  7, Batch    678, Loss  0.879930, Average Loss  0.869294, Time  0.266911
2021-09-16 10:27:53.062387 : Epoch  5, Batch    707, Loss  0.872554, Average Loss  0.869980, Time  0.242336
2021-09-16 10:27:55.386755 : Epoch  7, Batch    679, Loss  0.878131, Average Loss  0.869259, Time  0.266140
2021-09-16 10:27:55.658380 : Epoch  5, Batch    708, Loss  0.876153, Average Loss  0.870045, Time  0.240609
2021-09-16 10:27:58.221799 : Epoch  5, Batch    709, Loss  0.883069, Average Loss  0.870055, Time  0.241183
2021-09-16 10:27:58.396815 : Epoch  7, Batch    680, Loss  0.870852, Average Loss  0.869265, Time  0.265407
2021-09-16 10:28:00.812822 : Epoch  5, Batch    710, Loss  0.881047, Average Loss  0.870110, Time  0.242275
2021-09-16 10:28:01.364025 : Epoch  7, Batch    681, Loss  0.886873, Average Loss  0.869373, Time  0.265718
2021-09-16 10:28:03.398664 : Epoch  5, Batch    711, Loss  0.860497, Average Loss  0.870097, Time  0.241065
2021-09-16 10:28:04.380441 : Epoch  7, Batch    682, Loss  0.869780, Average Loss  0.869383, Time  0.266856
2021-09-16 10:28:05.990417 : Epoch  5, Batch    712, Loss  0.871093, Average Loss  0.870216, Time  0.240453
2021-09-16 10:28:07.374079 : Epoch  7, Batch    683, Loss  0.868776, Average Loss  0.869338, Time  0.265795
2021-09-16 10:28:08.569233 : Epoch  5, Batch    713, Loss  0.878637, Average Loss  0.870244, Time  0.240121
2021-09-16 10:28:10.367923 : Epoch  7, Batch    684, Loss  0.872298, Average Loss  0.869374, Time  0.266414
2021-09-16 10:28:11.165785 : Epoch  5, Batch    714, Loss  0.867023, Average Loss  0.870191, Time  0.241448
2021-09-16 10:28:13.353695 : Epoch  7, Batch    685, Loss  0.877669, Average Loss  0.869403, Time  0.266032
2021-09-16 10:28:13.757445 : Epoch  5, Batch    715, Loss  0.878048, Average Loss  0.870255, Time  0.239920
2021-09-16 10:28:16.330405 : Epoch  5, Batch    716, Loss  0.851278, Average Loss  0.870093, Time  0.240172
2021-09-16 10:28:16.344334 : Epoch  7, Batch    686, Loss  0.901170, Average Loss  0.869566, Time  0.277714
2021-09-16 10:28:18.923602 : Epoch  5, Batch    717, Loss  0.860032, Average Loss  0.870009, Time  0.239860
2021-09-16 10:28:19.350577 : Epoch  7, Batch    687, Loss  0.878541, Average Loss  0.869654, Time  0.265524
2021-09-16 10:28:21.511389 : Epoch  5, Batch    718, Loss  0.864575, Average Loss  0.870039, Time  0.239932
2021-09-16 10:28:22.323393 : Epoch  7, Batch    688, Loss  0.865982, Average Loss  0.869739, Time  0.265943
2021-09-16 10:28:24.100186 : Epoch  5, Batch    719, Loss  0.887937, Average Loss  0.870121, Time  0.240471
2021-09-16 10:28:25.343011 : Epoch  7, Batch    689, Loss  0.886928, Average Loss  0.869799, Time  0.265370
2021-09-16 10:28:26.678242 : Epoch  5, Batch    720, Loss  0.899623, Average Loss  0.870284, Time  0.240581
2021-09-16 10:28:28.309136 : Epoch  7, Batch    690, Loss  0.851205, Average Loss  0.869685, Time  0.264738
2021-09-16 10:28:29.267050 : Epoch  5, Batch    721, Loss  0.864612, Average Loss  0.870158, Time  0.240997
2021-09-16 10:28:31.300820 : Epoch  7, Batch    691, Loss  0.884810, Average Loss  0.869756, Time  0.265313
2021-09-16 10:28:31.848489 : Epoch  5, Batch    722, Loss  0.863331, Average Loss  0.870229, Time  0.240107
2021-09-16 10:28:34.279415 : Epoch  7, Batch    692, Loss  0.861825, Average Loss  0.869557, Time  0.265831
2021-09-16 10:28:34.430927 : Epoch  5, Batch    723, Loss  0.872968, Average Loss  0.870264, Time  0.240548
2021-09-16 10:28:37.005358 : Epoch  5, Batch    724, Loss  0.876941, Average Loss  0.870344, Time  0.240008
2021-09-16 10:28:37.262352 : Epoch  7, Batch    693, Loss  0.850607, Average Loss  0.869441, Time  0.264944
2021-09-16 10:28:39.585586 : Epoch  5, Batch    725, Loss  0.858170, Average Loss  0.870232, Time  0.240189
2021-09-16 10:28:40.230395 : Epoch  7, Batch    694, Loss  0.853859, Average Loss  0.869386, Time  0.265741
2021-09-16 10:28:42.184412 : Epoch  5, Batch    726, Loss  0.874098, Average Loss  0.870327, Time  0.240066
2021-09-16 10:28:43.252241 : Epoch  7, Batch    695, Loss  0.867720, Average Loss  0.869382, Time  0.265087
2021-09-16 10:28:44.764087 : Epoch  5, Batch    727, Loss  0.878056, Average Loss  0.870481, Time  0.241499
2021-09-16 10:28:46.235460 : Epoch  7, Batch    696, Loss  0.871330, Average Loss  0.869440, Time  0.265270
2021-09-16 10:28:47.357384 : Epoch  5, Batch    728, Loss  0.861083, Average Loss  0.870374, Time  0.241289
2021-09-16 10:28:49.237093 : Epoch  7, Batch    697, Loss  0.863881, Average Loss  0.869539, Time  0.267212
2021-09-16 10:28:49.962953 : Epoch  5, Batch    729, Loss  0.875111, Average Loss  0.870456, Time  0.240413
2021-09-16 10:28:52.266133 : Epoch  7, Batch    698, Loss  0.870003, Average Loss  0.869505, Time  0.266182
2021-09-16 10:28:52.541190 : Epoch  5, Batch    730, Loss  0.862941, Average Loss  0.870480, Time  0.239726
2021-09-16 10:28:55.123434 : Epoch  5, Batch    731, Loss  0.875566, Average Loss  0.870406, Time  0.240821
2021-09-16 10:28:55.252115 : Epoch  7, Batch    699, Loss  0.869532, Average Loss  0.869513, Time  0.265194
2021-09-16 10:28:57.704336 : Epoch  5, Batch    732, Loss  0.875899, Average Loss  0.870421, Time  0.240786
2021-09-16 10:28:58.231312 : Epoch  7, Batch    700, Loss  0.863736, Average Loss  0.869471, Time  0.266591
2021-09-16 10:29:00.286918 : Epoch  5, Batch    733, Loss  0.887523, Average Loss  0.870503, Time  0.242686
2021-09-16 10:29:01.267790 : Epoch  7, Batch    701, Loss  0.862023, Average Loss  0.869371, Time  0.277585
2021-09-16 10:29:02.897027 : Epoch  5, Batch    734, Loss  0.872747, Average Loss  0.870539, Time  0.243560
2021-09-16 10:29:04.252996 : Epoch  7, Batch    702, Loss  0.844336, Average Loss  0.869207, Time  0.266802
2021-09-16 10:29:05.483964 : Epoch  5, Batch    735, Loss  0.856662, Average Loss  0.870406, Time  0.240059
2021-09-16 10:29:07.244953 : Epoch  7, Batch    703, Loss  0.871204, Average Loss  0.869225, Time  0.266233
2021-09-16 10:29:08.067421 : Epoch  5, Batch    736, Loss  0.884724, Average Loss  0.870424, Time  0.240947
2021-09-16 10:29:10.251677 : Epoch  7, Batch    704, Loss  0.894062, Average Loss  0.869375, Time  0.267205
2021-09-16 10:29:10.654704 : Epoch  5, Batch    737, Loss  0.877156, Average Loss  0.870472, Time  0.240289
2021-09-16 10:29:13.232384 : Epoch  5, Batch    738, Loss  0.859224, Average Loss  0.870482, Time  0.239977
2021-09-16 10:29:13.270102 : Epoch  7, Batch    705, Loss  0.871379, Average Loss  0.869351, Time  0.266064
2021-09-16 10:29:15.817716 : Epoch  5, Batch    739, Loss  0.863661, Average Loss  0.870371, Time  0.240175
2021-09-16 10:29:16.284677 : Epoch  7, Batch    706, Loss  0.873918, Average Loss  0.869380, Time  0.266402
2021-09-16 10:29:18.393621 : Epoch  5, Batch    740, Loss  0.888588, Average Loss  0.870399, Time  0.240092
2021-09-16 10:29:19.284474 : Epoch  7, Batch    707, Loss  0.864164, Average Loss  0.869273, Time  0.265589
2021-09-16 10:29:20.994993 : Epoch  5, Batch    741, Loss  0.879142, Average Loss  0.870492, Time  0.241851
2021-09-16 10:29:22.272479 : Epoch  7, Batch    708, Loss  0.887362, Average Loss  0.869235, Time  0.266202
2021-09-16 10:29:23.585053 : Epoch  5, Batch    742, Loss  0.859256, Average Loss  0.870455, Time  0.243462
2021-09-16 10:29:25.253790 : Epoch  7, Batch    709, Loss  0.881171, Average Loss  0.869324, Time  0.265919
2021-09-16 10:29:26.167442 : Epoch  5, Batch    743, Loss  0.865534, Average Loss  0.870380, Time  0.241434
2021-09-16 10:29:28.236320 : Epoch  7, Batch    710, Loss  0.856968, Average Loss  0.869288, Time  0.266616
2021-09-16 10:29:28.754324 : Epoch  5, Batch    744, Loss  0.857324, Average Loss  0.870443, Time  0.240976
2021-09-16 10:29:31.253794 : Epoch  7, Batch    711, Loss  0.895459, Average Loss  0.869485, Time  0.266403
2021-09-16 10:29:31.342930 : Epoch  5, Batch    745, Loss  0.862833, Average Loss  0.870416, Time  0.241097
2021-09-16 10:29:33.930385 : Epoch  5, Batch    746, Loss  0.863017, Average Loss  0.870414, Time  0.241835
2021-09-16 10:29:34.266700 : Epoch  7, Batch    712, Loss  0.853594, Average Loss  0.869350, Time  0.266313
2021-09-16 10:29:36.510406 : Epoch  5, Batch    747, Loss  0.846763, Average Loss  0.870369, Time  0.239919
2021-09-16 10:29:37.242060 : Epoch  7, Batch    713, Loss  0.850137, Average Loss  0.869285, Time  0.265934
2021-09-16 10:29:39.112405 : Epoch  5, Batch    748, Loss  0.859953, Average Loss  0.870295, Time  0.240284
2021-09-16 10:29:40.225138 : Epoch  7, Batch    714, Loss  0.859937, Average Loss  0.869212, Time  0.265738
2021-09-16 10:29:41.690936 : Epoch  5, Batch    749, Loss  0.853486, Average Loss  0.870166, Time  0.240198
2021-09-16 10:29:43.214481 : Epoch  7, Batch    715, Loss  0.856227, Average Loss  0.869182, Time  0.266126
2021-09-16 10:29:44.263131 : Epoch  5, Batch    750, Loss  0.832365, Average Loss  0.869962, Time  0.240410
2021-09-16 10:29:46.254323 : Epoch  7, Batch    716, Loss  0.889055, Average Loss  0.869373, Time  0.277327
2021-09-16 10:29:46.843497 : Epoch  5, Batch    751, Loss  0.889802, Average Loss  0.870134, Time  0.241058
2021-09-16 10:29:49.271463 : Epoch  7, Batch    717, Loss  0.875197, Average Loss  0.869389, Time  0.266094
2021-09-16 10:29:49.430911 : Epoch  5, Batch    752, Loss  0.880822, Average Loss  0.870109, Time  0.240925
2021-09-16 10:29:52.004651 : Epoch  5, Batch    753, Loss  0.879212, Average Loss  0.870104, Time  0.240463
2021-09-16 10:29:52.249034 : Epoch  7, Batch    718, Loss  0.860434, Average Loss  0.869286, Time  0.265455
2021-09-16 10:29:54.597489 : Epoch  5, Batch    754, Loss  0.860777, Average Loss  0.870020, Time  0.240128
2021-09-16 10:29:55.255382 : Epoch  7, Batch    719, Loss  0.855557, Average Loss  0.869250, Time  0.266383
2021-09-16 10:29:57.184169 : Epoch  5, Batch    755, Loss  0.871608, Average Loss  0.870060, Time  0.241208
2021-09-16 10:29:58.224501 : Epoch  7, Batch    720, Loss  0.861922, Average Loss  0.869234, Time  0.264572
2021-09-16 10:29:59.780791 : Epoch  5, Batch    756, Loss  0.872172, Average Loss  0.870078, Time  0.241440
2021-09-16 10:30:01.212962 : Epoch  7, Batch    721, Loss  0.852201, Average Loss  0.869180, Time  0.265694
2021-09-16 10:30:02.381776 : Epoch  5, Batch    757, Loss  0.884792, Average Loss  0.870107, Time  0.242145
2021-09-16 10:30:04.181782 : Epoch  7, Batch    722, Loss  0.855478, Average Loss  0.869111, Time  0.266007
2021-09-16 10:30:04.996268 : Epoch  5, Batch    758, Loss  0.875954, Average Loss  0.870098, Time  0.263772
2021-09-16 10:30:07.176378 : Epoch  7, Batch    723, Loss  0.880784, Average Loss  0.869133, Time  0.266326
2021-09-16 10:30:07.579026 : Epoch  5, Batch    759, Loss  0.876013, Average Loss  0.870132, Time  0.240160
2021-09-16 10:30:10.169956 : Epoch  5, Batch    760, Loss  0.872396, Average Loss  0.870198, Time  0.242112
2021-09-16 10:30:10.184363 : Epoch  7, Batch    724, Loss  0.881390, Average Loss  0.869246, Time  0.266412
2021-09-16 10:30:12.752143 : Epoch  5, Batch    761, Loss  0.853321, Average Loss  0.870166, Time  0.240772
2021-09-16 10:30:13.182439 : Epoch  7, Batch    725, Loss  0.871844, Average Loss  0.869136, Time  0.267268
2021-09-16 10:30:15.334207 : Epoch  5, Batch    762, Loss  0.885560, Average Loss  0.870271, Time  0.240020
2021-09-16 10:30:16.203865 : Epoch  7, Batch    726, Loss  0.889075, Average Loss  0.869220, Time  0.266647
2021-09-16 10:30:17.922195 : Epoch  5, Batch    763, Loss  0.872420, Average Loss  0.870279, Time  0.241206
2021-09-16 10:30:19.189065 : Epoch  7, Batch    727, Loss  0.865147, Average Loss  0.869161, Time  0.265334
2021-09-16 10:30:20.517007 : Epoch  5, Batch    764, Loss  0.875642, Average Loss  0.870346, Time  0.240378
2021-09-16 10:30:22.170029 : Epoch  7, Batch    728, Loss  0.889974, Average Loss  0.869406, Time  0.265797
2021-09-16 10:30:23.127827 : Epoch  5, Batch    765, Loss  0.875259, Average Loss  0.870321, Time  0.241247
2021-09-16 10:30:25.164590 : Epoch  7, Batch    729, Loss  0.862714, Average Loss  0.869358, Time  0.265354
2021-09-16 10:30:25.753733 : Epoch  5, Batch    766, Loss  0.875306, Average Loss  0.870375, Time  0.239927
2021-09-16 10:30:28.155723 : Epoch  7, Batch    730, Loss  0.852713, Average Loss  0.869270, Time  0.265874
2021-09-16 10:30:28.342516 : Epoch  5, Batch    767, Loss  0.871110, Average Loss  0.870372, Time  0.240201
2021-09-16 10:30:30.926043 : Epoch  5, Batch    768, Loss  0.878005, Average Loss  0.870367, Time  0.244860
2021-09-16 10:30:31.186935 : Epoch  7, Batch    731, Loss  0.865341, Average Loss  0.869350, Time  0.277264
2021-09-16 10:30:33.519458 : Epoch  5, Batch    769, Loss  0.876727, Average Loss  0.870387, Time  0.240247
2021-09-16 10:30:34.160992 : Epoch  7, Batch    732, Loss  0.851349, Average Loss  0.869196, Time  0.266199
2021-09-16 10:30:36.104784 : Epoch  5, Batch    770, Loss  0.894066, Average Loss  0.870452, Time  0.240988
2021-09-16 10:30:37.189903 : Epoch  7, Batch    733, Loss  0.866684, Average Loss  0.869181, Time  0.265311
2021-09-16 10:30:38.689011 : Epoch  5, Batch    771, Loss  0.861595, Average Loss  0.870415, Time  0.240180
2021-09-16 10:30:40.164649 : Epoch  7, Batch    734, Loss  0.876164, Average Loss  0.869155, Time  0.265793
2021-09-16 10:30:41.269539 : Epoch  5, Batch    772, Loss  0.876521, Average Loss  0.870399, Time  0.241584
2021-09-16 10:30:43.169577 : Epoch  7, Batch    735, Loss  0.881263, Average Loss  0.869179, Time  0.265380
2021-09-16 10:30:43.855338 : Epoch  5, Batch    773, Loss  0.891353, Average Loss  0.870512, Time  0.240523
2021-09-16 10:30:46.182595 : Epoch  7, Batch    736, Loss  0.865545, Average Loss  0.869225, Time  0.266328
2021-09-16 10:30:46.433331 : Epoch  5, Batch    774, Loss  0.864491, Average Loss  0.870338, Time  0.239825
2021-09-16 10:30:49.008876 : Epoch  5, Batch    775, Loss  0.869394, Average Loss  0.870346, Time  0.240491
2021-09-16 10:30:49.170351 : Epoch  7, Batch    737, Loss  0.877418, Average Loss  0.869251, Time  0.265432
2021-09-16 10:30:51.595735 : Epoch  5, Batch    776, Loss  0.887847, Average Loss  0.870485, Time  0.239913
2021-09-16 10:30:52.134358 : Epoch  7, Batch    738, Loss  0.865106, Average Loss  0.869260, Time  0.265693
2021-09-16 10:30:55.113913 : Epoch  7, Batch    739, Loss  0.872939, Average Loss  0.869305, Time  0.266380
2021-09-16 10:30:58.109975 : Epoch  7, Batch    740, Loss  0.878764, Average Loss  0.869328, Time  0.267953
2021-09-16 10:31:01.109104 : Epoch  7, Batch    741, Loss  0.889369, Average Loss  0.869289, Time  0.266791
2021-09-16 10:31:04.135814 : Epoch  7, Batch    742, Loss  0.854795, Average Loss  0.869190, Time  0.265498
2021-09-16 10:31:07.120968 : Epoch  7, Batch    743, Loss  0.878118, Average Loss  0.869214, Time  0.267653
2021-09-16 10:31:10.097566 : Epoch  7, Batch    744, Loss  0.864917, Average Loss  0.869297, Time  0.265216
2021-09-16 10:31:13.071116 : Epoch  7, Batch    745, Loss  0.863926, Average Loss  0.869197, Time  0.265647
2021-09-16 10:31:16.059201 : Epoch  7, Batch    746, Loss  0.846262, Average Loss  0.869090, Time  0.274865
2021-09-16 10:31:19.009063 : Epoch  7, Batch    747, Loss  0.856587, Average Loss  0.868950, Time  0.264520
2021-09-16 10:31:21.985517 : Epoch  7, Batch    748, Loss  0.865864, Average Loss  0.868994, Time  0.266714
2021-09-16 10:31:24.975274 : Epoch  7, Batch    749, Loss  0.875968, Average Loss  0.868947, Time  0.265577
2021-09-16 10:31:27.942287 : Epoch  7, Batch    750, Loss  0.856866, Average Loss  0.868915, Time  0.265709
2021-09-16 10:31:30.966930 : Epoch  7, Batch    751, Loss  0.873982, Average Loss  0.868997, Time  0.266387
2021-09-16 10:31:33.994873 : Epoch  7, Batch    752, Loss  0.842920, Average Loss  0.868796, Time  0.266005
2021-09-16 10:31:36.984300 : Epoch  7, Batch    753, Loss  0.870241, Average Loss  0.868742, Time  0.265826
2021-09-16 10:31:39.986977 : Epoch  7, Batch    754, Loss  0.842303, Average Loss  0.868639, Time  0.264804
2021-09-16 10:31:42.983693 : Epoch  7, Batch    755, Loss  0.868108, Average Loss  0.868563, Time  0.266047
2021-09-16 10:31:45.929941 : Epoch  7, Batch    756, Loss  0.844974, Average Loss  0.868445, Time  0.266889
2021-09-16 10:31:48.922488 : Epoch  7, Batch    757, Loss  0.870409, Average Loss  0.868474, Time  0.266261
2021-09-16 10:31:51.921039 : Epoch  7, Batch    758, Loss  0.870062, Average Loss  0.868520, Time  0.266271
2021-09-16 10:31:54.951190 : Epoch  7, Batch    759, Loss  0.849596, Average Loss  0.868442, Time  0.266609
2021-09-16 10:31:57.959632 : Epoch  7, Batch    760, Loss  0.841711, Average Loss  0.868243, Time  0.265933
2021-09-16 10:32:00.957236 : Epoch  7, Batch    761, Loss  0.857629, Average Loss  0.868208, Time  0.276412
2021-09-16 10:32:03.957728 : Epoch  7, Batch    762, Loss  0.853761, Average Loss  0.868188, Time  0.266206
2021-09-16 10:32:06.991826 : Epoch  7, Batch    763, Loss  0.870082, Average Loss  0.868213, Time  0.267454
2021-09-16 10:32:09.984439 : Epoch  7, Batch    764, Loss  0.880648, Average Loss  0.868357, Time  0.268005
2021-09-16 10:34:53.515216 : CheckPoint: Validation Loss  0.00030240, Best Loss  0.00029226
2021-09-16 10:34:56.097290 : Epoch  5, Batch    777, Loss  0.879096, Average Loss  0.870463, Time  0.241373
2021-09-16 10:34:58.678543 : Epoch  5, Batch    778, Loss  0.876678, Average Loss  0.870456, Time  0.239974
2021-09-16 10:35:01.256367 : Epoch  5, Batch    779, Loss  0.868304, Average Loss  0.870541, Time  0.239758
2021-09-16 10:35:03.860067 : Epoch  5, Batch    780, Loss  0.877485, Average Loss  0.870514, Time  0.240841
2021-09-16 10:35:06.443226 : Epoch  5, Batch    781, Loss  0.859732, Average Loss  0.870465, Time  0.240806
2021-09-16 10:35:09.022326 : Epoch  5, Batch    782, Loss  0.874399, Average Loss  0.870514, Time  0.240108
2021-09-16 10:35:11.600642 : Epoch  5, Batch    783, Loss  0.893062, Average Loss  0.870645, Time  0.241947
2021-09-16 10:35:14.183037 : Epoch  5, Batch    784, Loss  0.871840, Average Loss  0.870673, Time  0.240048
2021-09-16 10:35:16.777215 : Epoch  5, Batch    785, Loss  0.879234, Average Loss  0.870705, Time  0.240164
2021-09-16 10:35:19.357202 : Epoch  5, Batch    786, Loss  0.879823, Average Loss  0.870723, Time  0.240126
2021-09-16 10:35:21.931809 : Epoch  5, Batch    787, Loss  0.885223, Average Loss  0.870771, Time  0.240354
2021-09-16 10:35:24.511377 : Epoch  5, Batch    788, Loss  0.874736, Average Loss  0.870758, Time  0.240626
2021-09-16 10:35:27.094887 : Epoch  5, Batch    789, Loss  0.861547, Average Loss  0.870685, Time  0.243443
2021-09-16 10:35:29.689413 : Epoch  5, Batch    790, Loss  0.863274, Average Loss  0.870546, Time  0.240048
2021-09-16 10:35:32.273966 : Epoch  5, Batch    791, Loss  0.859262, Average Loss  0.870543, Time  0.241538
2021-09-16 10:35:34.867028 : Epoch  5, Batch    792, Loss  0.860842, Average Loss  0.870544, Time  0.241349
2021-09-16 10:35:37.444921 : Epoch  5, Batch    793, Loss  0.863344, Average Loss  0.870570, Time  0.242297
2021-09-16 10:35:40.029578 : Epoch  5, Batch    794, Loss  0.860765, Average Loss  0.870448, Time  0.240899
2021-09-16 10:35:42.617968 : Epoch  5, Batch    795, Loss  0.864280, Average Loss  0.870320, Time  0.240839
2021-09-16 10:35:45.205149 : Epoch  5, Batch    796, Loss  0.856043, Average Loss  0.870265, Time  0.240855
2021-09-16 10:35:47.780174 : Epoch  5, Batch    797, Loss  0.858445, Average Loss  0.870216, Time  0.240063
2021-09-16 10:35:50.368208 : Epoch  5, Batch    798, Loss  0.886689, Average Loss  0.870300, Time  0.241092
2021-09-16 10:35:52.946298 : Epoch  5, Batch    799, Loss  0.871186, Average Loss  0.870290, Time  0.240106
2021-09-16 10:35:55.526824 : Epoch  5, Batch    800, Loss  0.866427, Average Loss  0.870351, Time  0.241838
2021-09-16 10:35:58.107138 : Epoch  5, Batch    801, Loss  0.870359, Average Loss  0.870279, Time  0.240685
2021-09-16 10:36:00.681446 : Epoch  5, Batch    802, Loss  0.872413, Average Loss  0.870346, Time  0.240038
2021-09-16 10:36:03.254412 : Epoch  5, Batch    803, Loss  0.865559, Average Loss  0.870267, Time  0.243011
2021-09-16 10:36:05.834399 : Epoch  5, Batch    804, Loss  0.878068, Average Loss  0.870438, Time  0.240100
2021-09-16 10:36:08.414072 : Epoch  5, Batch    805, Loss  0.886784, Average Loss  0.870479, Time  0.240679
2021-09-16 10:36:10.989112 : Epoch  5, Batch    806, Loss  0.872606, Average Loss  0.870460, Time  0.240232
2021-09-16 10:36:13.571920 : Epoch  5, Batch    807, Loss  0.867745, Average Loss  0.870432, Time  0.241734
2021-09-16 10:36:16.147620 : Epoch  5, Batch    808, Loss  0.891794, Average Loss  0.870646, Time  0.240124
2021-09-16 10:36:18.728069 : Epoch  5, Batch    809, Loss  0.880759, Average Loss  0.870776, Time  0.240829
2021-09-16 10:36:21.311163 : Epoch  5, Batch    810, Loss  0.879834, Average Loss  0.870735, Time  0.240105
2021-09-16 10:36:23.886018 : Epoch  5, Batch    811, Loss  0.859970, Average Loss  0.870797, Time  0.240585
2021-09-16 10:36:26.456698 : Epoch  5, Batch    812, Loss  0.860776, Average Loss  0.870768, Time  0.240190
2021-09-16 10:36:29.038971 : Epoch  5, Batch    813, Loss  0.877168, Average Loss  0.870837, Time  0.240188
2021-09-16 10:36:31.621382 : Epoch  5, Batch    814, Loss  0.853138, Average Loss  0.870765, Time  0.239879
2021-09-16 10:36:34.206121 : Epoch  5, Batch    815, Loss  0.869073, Average Loss  0.870796, Time  0.242071
2021-09-16 10:36:36.779618 : Epoch  5, Batch    816, Loss  0.850903, Average Loss  0.870750, Time  0.241044
2021-09-16 10:36:39.361388 : Epoch  5, Batch    817, Loss  0.865021, Average Loss  0.870787, Time  0.240004
2021-09-16 10:36:41.950206 : Epoch  5, Batch    818, Loss  0.861901, Average Loss  0.870784, Time  0.241060
2021-09-16 10:36:44.525825 : Epoch  5, Batch    819, Loss  0.859859, Average Loss  0.870744, Time  0.240358
2021-09-16 10:36:47.104204 : Epoch  5, Batch    820, Loss  0.869750, Average Loss  0.870895, Time  0.240338
2021-09-16 10:36:49.688086 : Epoch  5, Batch    821, Loss  0.869498, Average Loss  0.870824, Time  0.240358
2021-09-16 10:36:49.856851 : CheckPoint: Validation Loss  0.00030318, Best Loss  0.00029295
2021-09-16 10:36:52.262852 : Epoch  5, Batch    822, Loss  0.867191, Average Loss  0.870850, Time  0.240106
2021-09-16 10:36:52.826514 : Epoch  7, Batch    765, Loss  0.874999, Average Loss  0.868427, Time  0.267602
2021-09-16 10:36:54.836977 : Epoch  5, Batch    823, Loss  0.881771, Average Loss  0.870832, Time  0.241115
2021-09-16 10:36:55.809568 : Epoch  7, Batch    766, Loss  0.858453, Average Loss  0.868496, Time  0.265716
2021-09-16 10:36:57.410344 : Epoch  5, Batch    824, Loss  0.856341, Average Loss  0.870701, Time  0.240128
2021-09-16 10:36:58.801434 : Epoch  7, Batch    767, Loss  0.856651, Average Loss  0.868395, Time  0.266036
2021-09-16 10:37:00.001604 : Epoch  5, Batch    825, Loss  0.871778, Average Loss  0.870707, Time  0.240141
2021-09-16 10:37:01.800708 : Epoch  7, Batch    768, Loss  0.877810, Average Loss  0.868386, Time  0.267311
2021-09-16 10:37:02.586426 : Epoch  5, Batch    826, Loss  0.863437, Average Loss  0.870677, Time  0.241254
2021-09-16 10:37:04.806189 : Epoch  7, Batch    769, Loss  0.903519, Average Loss  0.868564, Time  0.266386
2021-09-16 10:37:05.167097 : Epoch  5, Batch    827, Loss  0.865458, Average Loss  0.870585, Time  0.241937
2021-09-16 10:37:07.730198 : Epoch  5, Batch    828, Loss  0.883973, Average Loss  0.870682, Time  0.240767
2021-09-16 10:37:07.819955 : Epoch  7, Batch    770, Loss  0.860086, Average Loss  0.868562, Time  0.266145
2021-09-16 10:37:10.314636 : Epoch  5, Batch    829, Loss  0.869749, Average Loss  0.870665, Time  0.240285
2021-09-16 10:37:10.816100 : Epoch  7, Batch    771, Loss  0.866849, Average Loss  0.868466, Time  0.265966
2021-09-16 10:37:12.891357 : Epoch  5, Batch    830, Loss  0.877814, Average Loss  0.870665, Time  0.240305
2021-09-16 10:37:13.784111 : Epoch  7, Batch    772, Loss  0.877901, Average Loss  0.868488, Time  0.266083
2021-09-16 10:37:15.468147 : Epoch  5, Batch    831, Loss  0.866879, Average Loss  0.870650, Time  0.240707
2021-09-16 10:37:16.832778 : Epoch  7, Batch    773, Loss  0.872673, Average Loss  0.868480, Time  0.266978
2021-09-16 10:37:18.042400 : Epoch  5, Batch    832, Loss  0.883737, Average Loss  0.870682, Time  0.240022
2021-09-16 10:37:19.812956 : Epoch  7, Batch    774, Loss  0.884927, Average Loss  0.868490, Time  0.265348
2021-09-16 10:37:20.609283 : Epoch  5, Batch    833, Loss  0.883571, Average Loss  0.870681, Time  0.240329
2021-09-16 10:37:22.816067 : Epoch  7, Batch    775, Loss  0.882679, Average Loss  0.868545, Time  0.265532
2021-09-16 10:37:23.191516 : Epoch  5, Batch    834, Loss  0.867330, Average Loss  0.870665, Time  0.241260
2021-09-16 10:37:25.760141 : Epoch  5, Batch    835, Loss  0.884208, Average Loss  0.870788, Time  0.241572
2021-09-16 10:37:25.837682 : Epoch  7, Batch    776, Loss  0.876821, Average Loss  0.868544, Time  0.279957
2021-09-16 10:37:28.341885 : Epoch  5, Batch    836, Loss  0.868241, Average Loss  0.870779, Time  0.240556
2021-09-16 10:37:28.830523 : Epoch  7, Batch    777, Loss  0.854992, Average Loss  0.868523, Time  0.266302
2021-09-16 10:37:30.931650 : Epoch  5, Batch    837, Loss  0.854644, Average Loss  0.870720, Time  0.239874
2021-09-16 10:37:31.781531 : Epoch  7, Batch    778, Loss  0.871846, Average Loss  0.868634, Time  0.265939
2021-09-16 10:37:33.515830 : Epoch  5, Batch    838, Loss  0.874696, Average Loss  0.870722, Time  0.240978
2021-09-16 10:37:34.766320 : Epoch  7, Batch    779, Loss  0.877437, Average Loss  0.868631, Time  0.265205
2021-09-16 10:37:36.096342 : Epoch  5, Batch    839, Loss  0.859189, Average Loss  0.870754, Time  0.241705
2021-09-16 10:37:37.745682 : Epoch  7, Batch    780, Loss  0.870579, Average Loss  0.868575, Time  0.265373
2021-09-16 10:37:38.681577 : Epoch  5, Batch    840, Loss  0.896818, Average Loss  0.870927, Time  0.240175
2021-09-16 10:37:40.742454 : Epoch  7, Batch    781, Loss  0.870453, Average Loss  0.868589, Time  0.266349
2021-09-16 10:37:41.274764 : Epoch  5, Batch    841, Loss  0.869841, Average Loss  0.870866, Time  0.241215
2021-09-16 10:37:43.770007 : Epoch  7, Batch    782, Loss  0.878641, Average Loss  0.868714, Time  0.269019
2021-09-16 10:37:43.857995 : Epoch  5, Batch    842, Loss  0.877840, Average Loss  0.870867, Time  0.239942
2021-09-16 10:37:46.432697 : Epoch  5, Batch    843, Loss  0.861465, Average Loss  0.870925, Time  0.239637
2021-09-16 10:37:46.747938 : Epoch  7, Batch    783, Loss  0.868109, Average Loss  0.868676, Time  0.264753
2021-09-16 10:37:49.006702 : Epoch  5, Batch    844, Loss  0.875066, Average Loss  0.870872, Time  0.240077
2021-09-16 10:37:49.733478 : Epoch  7, Batch    784, Loss  0.878005, Average Loss  0.868724, Time  0.266154
2021-09-16 10:37:51.596729 : Epoch  5, Batch    845, Loss  0.884510, Average Loss  0.870902, Time  0.239831
2021-09-16 10:37:52.716186 : Epoch  7, Batch    785, Loss  0.886515, Average Loss  0.868858, Time  0.266234
2021-09-16 10:37:54.181430 : Epoch  5, Batch    846, Loss  0.870359, Average Loss  0.870898, Time  0.240173
2021-09-16 10:37:55.728151 : Epoch  7, Batch    786, Loss  0.879099, Average Loss  0.868886, Time  0.265973
2021-09-16 10:37:56.760398 : Epoch  5, Batch    847, Loss  0.857995, Average Loss  0.870785, Time  0.239918
2021-09-16 10:37:58.730086 : Epoch  7, Batch    787, Loss  0.854007, Average Loss  0.868892, Time  0.267954
2021-09-16 10:37:59.346172 : Epoch  5, Batch    848, Loss  0.873329, Average Loss  0.870731, Time  0.240804
2021-09-16 10:38:01.743885 : Epoch  7, Batch    788, Loss  0.862274, Average Loss  0.868801, Time  0.266136
2021-09-16 10:38:01.921197 : Epoch  5, Batch    849, Loss  0.862184, Average Loss  0.870746, Time  0.240988
2021-09-16 10:38:04.485088 : Epoch  5, Batch    850, Loss  0.852422, Average Loss  0.870641, Time  0.240166
2021-09-16 10:38:04.742332 : Epoch  7, Batch    789, Loss  0.847052, Average Loss  0.868783, Time  0.265250
2021-09-16 10:38:07.063554 : Epoch  5, Batch    851, Loss  0.879170, Average Loss  0.870693, Time  0.240138
2021-09-16 10:38:07.744554 : Epoch  7, Batch    790, Loss  0.884459, Average Loss  0.868872, Time  0.266018
2021-09-16 10:38:09.641147 : Epoch  5, Batch    852, Loss  0.888418, Average Loss  0.870769, Time  0.240861
2021-09-16 10:38:10.783829 : Epoch  7, Batch    791, Loss  0.864803, Average Loss  0.868838, Time  0.276928
2021-09-16 10:38:12.229245 : Epoch  5, Batch    853, Loss  0.857766, Average Loss  0.870651, Time  0.240094
2021-09-16 10:38:13.787801 : Epoch  7, Batch    792, Loss  0.863981, Average Loss  0.868855, Time  0.265949
2021-09-16 10:38:14.818308 : Epoch  5, Batch    854, Loss  0.881964, Average Loss  0.870666, Time  0.240051
2021-09-16 10:38:16.759915 : Epoch  7, Batch    793, Loss  0.861095, Average Loss  0.868873, Time  0.264660
2021-09-16 10:38:17.407061 : Epoch  5, Batch    855, Loss  0.860591, Average Loss  0.870666, Time  0.240175
2021-09-16 10:38:19.748088 : Epoch  7, Batch    794, Loss  0.877870, Average Loss  0.868930, Time  0.265069
2021-09-16 10:38:19.982904 : Epoch  5, Batch    856, Loss  0.869910, Average Loss  0.870691, Time  0.240325
2021-09-16 10:38:22.563420 : Epoch  5, Batch    857, Loss  0.872613, Average Loss  0.870755, Time  0.240136
2021-09-16 10:38:22.720822 : Epoch  7, Batch    795, Loss  0.861092, Average Loss  0.868807, Time  0.265422
2021-09-16 10:38:25.142111 : Epoch  5, Batch    858, Loss  0.878503, Average Loss  0.870842, Time  0.240181
2021-09-16 10:38:25.682035 : Epoch  7, Batch    796, Loss  0.881337, Average Loss  0.868792, Time  0.265751
2021-09-16 10:38:27.712190 : Epoch  5, Batch    859, Loss  0.851663, Average Loss  0.870762, Time  0.241593
2021-09-16 10:38:28.665054 : Epoch  7, Batch    797, Loss  0.883191, Average Loss  0.868820, Time  0.265280
2021-09-16 10:38:30.294830 : Epoch  5, Batch    860, Loss  0.863343, Average Loss  0.870828, Time  0.240754
2021-09-16 10:38:31.634487 : Epoch  7, Batch    798, Loss  0.856614, Average Loss  0.868754, Time  0.266179
2021-09-16 10:38:32.878518 : Epoch  5, Batch    861, Loss  0.874863, Average Loss  0.870811, Time  0.240482
2021-09-16 10:38:34.607408 : Epoch  7, Batch    799, Loss  0.865238, Average Loss  0.868853, Time  0.264914
2021-09-16 10:38:35.465886 : Epoch  5, Batch    862, Loss  0.867531, Average Loss  0.870777, Time  0.241194
2021-09-16 10:38:37.576187 : Epoch  7, Batch    800, Loss  0.870625, Average Loss  0.868723, Time  0.264921
2021-09-16 10:38:38.067871 : Epoch  5, Batch    863, Loss  0.855162, Average Loss  0.870686, Time  0.240227
2021-09-16 10:38:40.576219 : Epoch  7, Batch    801, Loss  0.887048, Average Loss  0.868749, Time  0.266374
2021-09-16 10:38:40.636231 : Epoch  5, Batch    864, Loss  0.867973, Average Loss  0.870619, Time  0.242394
2021-09-16 10:38:43.202120 : Epoch  5, Batch    865, Loss  0.884577, Average Loss  0.870684, Time  0.241785
2021-09-16 10:38:43.580078 : Epoch  7, Batch    802, Loss  0.863632, Average Loss  0.868659, Time  0.267759
2021-09-16 10:38:45.780397 : Epoch  5, Batch    866, Loss  0.855774, Average Loss  0.870682, Time  0.239848
2021-09-16 10:38:46.558965 : Epoch  7, Batch    803, Loss  0.852325, Average Loss  0.868646, Time  0.265327
2021-09-16 10:38:48.367703 : Epoch  5, Batch    867, Loss  0.867001, Average Loss  0.870625, Time  0.239890
2021-09-16 10:38:49.525707 : Epoch  7, Batch    804, Loss  0.867258, Average Loss  0.868717, Time  0.265291
2021-09-16 10:38:50.962091 : Epoch  5, Batch    868, Loss  0.874840, Average Loss  0.870671, Time  0.241491
2021-09-16 10:38:52.504228 : Epoch  7, Batch    805, Loss  0.892174, Average Loss  0.868834, Time  0.265754
2021-09-16 10:38:53.536658 : Epoch  5, Batch    869, Loss  0.877012, Average Loss  0.870727, Time  0.240410
2021-09-16 10:38:55.472673 : Epoch  7, Batch    806, Loss  0.866985, Average Loss  0.868955, Time  0.266543
2021-09-16 10:38:56.116629 : Epoch  5, Batch    870, Loss  0.868020, Average Loss  0.870726, Time  0.240315
2021-09-16 10:38:58.472061 : Epoch  7, Batch    807, Loss  0.847580, Average Loss  0.868863, Time  0.271759
2021-09-16 10:38:58.687860 : Epoch  5, Batch    871, Loss  0.873747, Average Loss  0.870677, Time  0.240320
2021-09-16 10:39:01.251374 : Epoch  5, Batch    872, Loss  0.875602, Average Loss  0.870615, Time  0.239911
2021-09-16 10:39:01.454420 : Epoch  7, Batch    808, Loss  0.874107, Average Loss  0.868914, Time  0.265720
2021-09-16 10:39:03.830196 : Epoch  5, Batch    873, Loss  0.877467, Average Loss  0.870694, Time  0.240129
2021-09-16 10:39:04.455121 : Epoch  7, Batch    809, Loss  0.868558, Average Loss  0.868929, Time  0.265997
2021-09-16 10:39:06.406164 : Epoch  5, Batch    874, Loss  0.857449, Average Loss  0.870655, Time  0.240440
2021-09-16 10:39:07.441934 : Epoch  7, Batch    810, Loss  0.881247, Average Loss  0.868976, Time  0.265960
2021-09-16 10:39:08.989175 : Epoch  5, Batch    875, Loss  0.870027, Average Loss  0.870677, Time  0.240100
2021-09-16 10:39:10.448802 : Epoch  7, Batch    811, Loss  0.881946, Average Loss  0.868983, Time  0.265813
2021-09-16 10:39:11.576300 : Epoch  5, Batch    876, Loss  0.861873, Average Loss  0.870629, Time  0.240062
2021-09-16 10:39:13.415126 : Epoch  7, Batch    812, Loss  0.870685, Average Loss  0.868949, Time  0.265882
2021-09-16 10:39:16.387761 : Epoch  7, Batch    813, Loss  0.861784, Average Loss  0.868998, Time  0.265404
2021-09-16 10:39:19.361085 : Epoch  7, Batch    814, Loss  0.856283, Average Loss  0.868889, Time  0.265248
2021-09-16 10:39:22.346866 : Epoch  7, Batch    815, Loss  0.886027, Average Loss  0.868895, Time  0.266135
2021-09-16 10:39:25.316994 : Epoch  7, Batch    816, Loss  0.874277, Average Loss  0.868983, Time  0.265269
2021-09-16 10:39:28.285424 : Epoch  7, Batch    817, Loss  0.881449, Average Loss  0.869118, Time  0.265357
2021-09-16 10:39:31.255934 : Epoch  7, Batch    818, Loss  0.863344, Average Loss  0.869123, Time  0.265383
2021-09-16 10:39:34.223888 : Epoch  7, Batch    819, Loss  0.845844, Average Loss  0.869082, Time  0.265522
2021-09-16 10:39:37.208714 : Epoch  7, Batch    820, Loss  0.865565, Average Loss  0.869115, Time  0.265430
2021-09-16 10:39:40.181096 : Epoch  7, Batch    821, Loss  0.881509, Average Loss  0.869206, Time  0.265380
2021-09-16 10:39:43.169421 : Epoch  7, Batch    822, Loss  0.859881, Average Loss  0.869262, Time  0.278275
2021-09-16 10:39:46.144186 : Epoch  7, Batch    823, Loss  0.865695, Average Loss  0.869274, Time  0.267239
2021-09-16 10:39:49.166532 : Epoch  7, Batch    824, Loss  0.858582, Average Loss  0.869203, Time  0.267316
2021-09-16 10:39:52.176343 : Epoch  7, Batch    825, Loss  0.875052, Average Loss  0.869262, Time  0.266523
2021-09-16 10:39:55.146651 : Epoch  7, Batch    826, Loss  0.856794, Average Loss  0.869269, Time  0.264843
2021-09-16 10:39:58.134403 : Epoch  7, Batch    827, Loss  0.873645, Average Loss  0.869168, Time  0.265802
2021-09-16 10:40:01.138207 : Epoch  7, Batch    828, Loss  0.853533, Average Loss  0.869132, Time  0.266315
2021-09-16 10:40:04.119701 : Epoch  7, Batch    829, Loss  0.866230, Average Loss  0.869164, Time  0.266427
2021-09-16 10:40:07.121666 : Epoch  7, Batch    830, Loss  0.866077, Average Loss  0.869113, Time  0.265126
2021-09-16 10:40:10.105362 : Epoch  7, Batch    831, Loss  0.877328, Average Loss  0.869115, Time  0.265505
2021-09-16 10:40:13.084000 : Epoch  7, Batch    832, Loss  0.869052, Average Loss  0.869069, Time  0.265363
2021-09-16 10:40:16.057483 : Epoch  7, Batch    833, Loss  0.865749, Average Loss  0.869006, Time  0.265658
2021-09-16 10:40:19.034373 : Epoch  7, Batch    834, Loss  0.907664, Average Loss  0.869239, Time  0.266176
2021-09-16 10:40:22.056792 : Epoch  7, Batch    835, Loss  0.862736, Average Loss  0.869328, Time  0.265410
2021-09-16 10:40:25.040522 : Epoch  7, Batch    836, Loss  0.869024, Average Loss  0.869408, Time  0.265787
2021-09-16 10:40:28.019757 : Epoch  7, Batch    837, Loss  0.856230, Average Loss  0.869385, Time  0.275064
2021-09-16 10:40:31.021804 : Epoch  7, Batch    838, Loss  0.866143, Average Loss  0.869363, Time  0.265605
2021-09-16 10:40:34.012980 : Epoch  7, Batch    839, Loss  0.860804, Average Loss  0.869261, Time  0.266632
2021-09-16 10:40:37.002938 : Epoch  7, Batch    840, Loss  0.873466, Average Loss  0.869306, Time  0.266092
2021-09-16 10:40:40.025927 : Epoch  7, Batch    841, Loss  0.872633, Average Loss  0.869176, Time  0.267400
2021-09-16 10:40:43.016674 : Epoch  7, Batch    842, Loss  0.873115, Average Loss  0.869163, Time  0.266029
2021-09-16 10:40:46.025900 : Epoch  7, Batch    843, Loss  0.873077, Average Loss  0.869212, Time  0.266686
2021-09-16 10:40:49.000880 : Epoch  7, Batch    844, Loss  0.892858, Average Loss  0.869314, Time  0.265312
2021-09-16 10:40:51.976187 : Epoch  7, Batch    845, Loss  0.858197, Average Loss  0.869320, Time  0.266856
2021-09-16 10:40:54.937389 : Epoch  7, Batch    846, Loss  0.867403, Average Loss  0.869322, Time  0.266318
2021-09-16 10:40:57.925186 : Epoch  7, Batch    847, Loss  0.877781, Average Loss  0.869254, Time  0.266521
2021-09-16 10:41:00.931891 : Epoch  7, Batch    848, Loss  0.867406, Average Loss  0.869313, Time  0.265788
2021-09-16 10:41:03.909050 : Epoch  7, Batch    849, Loss  0.855068, Average Loss  0.869223, Time  0.265771
2021-09-16 10:41:06.898847 : Epoch  7, Batch    850, Loss  0.868254, Average Loss  0.869222, Time  0.267043
2021-09-16 10:41:09.902258 : Epoch  7, Batch    851, Loss  0.861441, Average Loss  0.869199, Time  0.265635
2021-09-16 10:41:12.911120 : Epoch  7, Batch    852, Loss  0.879788, Average Loss  0.869288, Time  0.277509
2021-09-16 10:41:15.897233 : Epoch  7, Batch    853, Loss  0.865171, Average Loss  0.869228, Time  0.265667
2021-09-16 10:41:18.904090 : Epoch  7, Batch    854, Loss  0.855593, Average Loss  0.869170, Time  0.267263
2021-09-16 10:41:21.837430 : Epoch  7, Batch    855, Loss  0.867286, Average Loss  0.869119, Time  0.265163
2021-09-16 10:41:24.807088 : Epoch  7, Batch    856, Loss  0.883395, Average Loss  0.869173, Time  0.265381
2021-09-16 10:41:27.783742 : Epoch  7, Batch    857, Loss  0.889112, Average Loss  0.869251, Time  0.264809
2021-09-16 10:41:30.783376 : Epoch  7, Batch    858, Loss  0.844860, Average Loss  0.869098, Time  0.265028
2021-09-16 10:41:33.754304 : Epoch  7, Batch    859, Loss  0.880145, Average Loss  0.869167, Time  0.266315
2021-09-16 10:41:36.751072 : Epoch  7, Batch    860, Loss  0.868820, Average Loss  0.869157, Time  0.266143
2021-09-16 10:41:39.756969 : Epoch  7, Batch    861, Loss  0.887617, Average Loss  0.869188, Time  0.266829
2021-09-16 10:41:42.765843 : Epoch  7, Batch    862, Loss  0.855784, Average Loss  0.869075, Time  0.265236
2021-09-16 10:41:45.752751 : Epoch  7, Batch    863, Loss  0.835723, Average Loss  0.868982, Time  0.268219
2021-09-16 10:41:56.692168 : Epoch  7, Batch    864, Loss  0.876502, Average Loss  0.868982, Time  0.267319
2021-09-16 10:43:13.547204 : CheckPoint: Validation Loss  0.00030263, Best Loss  0.00029226
2021-09-16 10:43:16.144507 : Epoch  5, Batch    877, Loss  0.879612, Average Loss  0.870675, Time  0.260656
2021-09-16 10:43:18.725015 : Epoch  5, Batch    878, Loss  0.862694, Average Loss  0.870701, Time  0.244431
2021-09-16 10:43:21.303097 : Epoch  5, Batch    879, Loss  0.847582, Average Loss  0.870574, Time  0.240085
2021-09-16 10:43:23.882432 : Epoch  5, Batch    880, Loss  0.886153, Average Loss  0.870648, Time  0.241555
2021-09-16 10:43:26.457548 : Epoch  5, Batch    881, Loss  0.863356, Average Loss  0.870569, Time  0.241478
2021-09-16 10:43:29.047055 : Epoch  5, Batch    882, Loss  0.873712, Average Loss  0.870522, Time  0.242581
2021-09-16 10:43:31.627081 : Epoch  5, Batch    883, Loss  0.882247, Average Loss  0.870690, Time  0.242505
2021-09-16 10:43:34.207432 : Epoch  5, Batch    884, Loss  0.881539, Average Loss  0.870725, Time  0.240162
2021-09-16 10:43:36.787073 : Epoch  5, Batch    885, Loss  0.874506, Average Loss  0.870804, Time  0.240064
2021-09-16 10:43:39.369759 : Epoch  5, Batch    886, Loss  0.852203, Average Loss  0.870795, Time  0.240531
2021-09-16 10:43:41.951957 : Epoch  5, Batch    887, Loss  0.891694, Average Loss  0.870851, Time  0.239862
2021-09-16 10:43:44.529385 : Epoch  5, Batch    888, Loss  0.874133, Average Loss  0.870785, Time  0.240144
2021-09-16 10:43:47.095896 : Epoch  5, Batch    889, Loss  0.853720, Average Loss  0.870676, Time  0.241509
2021-09-16 10:43:49.675856 : Epoch  5, Batch    890, Loss  0.867791, Average Loss  0.870673, Time  0.240229
2021-09-16 10:43:52.256967 : Epoch  5, Batch    891, Loss  0.869212, Average Loss  0.870656, Time  0.239836
2021-09-16 10:43:54.833747 : Epoch  5, Batch    892, Loss  0.856760, Average Loss  0.870561, Time  0.240022
2021-09-16 10:43:57.410050 : Epoch  5, Batch    893, Loss  0.870870, Average Loss  0.870575, Time  0.240734
2021-09-16 10:43:59.982730 : Epoch  5, Batch    894, Loss  0.887790, Average Loss  0.870680, Time  0.240261
2021-09-16 10:44:02.552464 : Epoch  5, Batch    895, Loss  0.868769, Average Loss  0.870673, Time  0.240827
2021-09-16 10:44:05.125860 : Epoch  5, Batch    896, Loss  0.861184, Average Loss  0.870575, Time  0.239909
2021-09-16 10:44:07.722409 : Epoch  5, Batch    897, Loss  0.851394, Average Loss  0.870482, Time  0.240754
2021-09-16 10:44:10.295572 : Epoch  5, Batch    898, Loss  0.897854, Average Loss  0.870519, Time  0.240234
2021-09-16 10:44:12.875213 : Epoch  5, Batch    899, Loss  0.869138, Average Loss  0.870628, Time  0.241318
2021-09-16 10:44:15.455131 : Epoch  5, Batch    900, Loss  0.870614, Average Loss  0.870630, Time  0.243184
2021-09-16 10:44:18.034884 : Epoch  5, Batch    901, Loss  0.881293, Average Loss  0.870750, Time  0.240378
2021-09-16 10:44:20.616189 : Epoch  5, Batch    902, Loss  0.877506, Average Loss  0.870771, Time  0.240732
2021-09-16 10:44:23.188451 : Epoch  5, Batch    903, Loss  0.878284, Average Loss  0.870857, Time  0.240461
2021-09-16 10:44:25.758425 : Epoch  5, Batch    904, Loss  0.872426, Average Loss  0.870888, Time  0.241302
2021-09-16 10:44:28.341497 : Epoch  5, Batch    905, Loss  0.878511, Average Loss  0.870936, Time  0.240354
2021-09-16 10:44:30.911181 : Epoch  5, Batch    906, Loss  0.862609, Average Loss  0.870935, Time  0.240771
2021-09-16 10:44:33.488886 : Epoch  5, Batch    907, Loss  0.875566, Average Loss  0.870950, Time  0.241424
2021-09-16 10:44:36.069068 : Epoch  5, Batch    908, Loss  0.865463, Average Loss  0.870897, Time  0.240533
2021-09-16 10:44:38.651188 : Epoch  5, Batch    909, Loss  0.861825, Average Loss  0.870790, Time  0.240550
2021-09-16 10:44:41.226703 : Epoch  5, Batch    910, Loss  0.864843, Average Loss  0.870709, Time  0.240841
2021-09-16 10:44:43.803788 : Epoch  5, Batch    911, Loss  0.871955, Average Loss  0.870767, Time  0.243172
2021-09-16 10:44:46.371568 : Epoch  5, Batch    912, Loss  0.873851, Average Loss  0.870781, Time  0.241337
2021-09-16 10:44:48.953013 : Epoch  5, Batch    913, Loss  0.862497, Average Loss  0.870700, Time  0.241538
2021-09-16 10:44:51.533509 : Epoch  5, Batch    914, Loss  0.887042, Average Loss  0.870800, Time  0.241528
2021-09-16 10:44:54.109499 : Epoch  5, Batch    915, Loss  0.877065, Average Loss  0.870795, Time  0.241108
2021-09-16 10:44:56.678226 : Epoch  5, Batch    916, Loss  0.856828, Average Loss  0.870823, Time  0.240187
2021-09-16 10:44:59.256147 : Epoch  5, Batch    917, Loss  0.856995, Average Loss  0.870808, Time  0.241032
2021-09-16 10:45:01.826714 : Epoch  5, Batch    918, Loss  0.866388, Average Loss  0.870817, Time  0.239942
2021-09-16 10:45:04.405883 : Epoch  5, Batch    919, Loss  0.855127, Average Loss  0.870653, Time  0.241734
2021-09-16 10:45:06.992475 : Epoch  5, Batch    920, Loss  0.856963, Average Loss  0.870439, Time  0.242692
2021-09-16 10:45:09.571862 : Epoch  5, Batch    921, Loss  0.864170, Average Loss  0.870437, Time  0.240103
2021-09-16 10:45:12.149240 : Epoch  5, Batch    922, Loss  0.879671, Average Loss  0.870519, Time  0.242312
2021-09-16 10:45:14.724769 : Epoch  5, Batch    923, Loss  0.880058, Average Loss  0.870554, Time  0.240074
2021-09-16 10:45:17.300497 : Epoch  5, Batch    924, Loss  0.872385, Average Loss  0.870531, Time  0.240956
2021-09-16 10:45:19.873925 : Epoch  5, Batch    925, Loss  0.851806, Average Loss  0.870500, Time  0.241174
2021-09-16 10:45:22.446514 : Epoch  5, Batch    926, Loss  0.876058, Average Loss  0.870509, Time  0.240569
2021-09-16 10:45:25.015288 : Epoch  5, Batch    927, Loss  0.856210, Average Loss  0.870400, Time  0.240602
2021-09-16 10:45:27.597867 : Epoch  5, Batch    928, Loss  0.868055, Average Loss  0.870435, Time  0.240420
2021-09-16 10:45:30.182115 : Epoch  5, Batch    929, Loss  0.857471, Average Loss  0.870347, Time  0.240767
2021-09-16 10:45:32.754306 : Epoch  5, Batch    930, Loss  0.838911, Average Loss  0.870227, Time  0.239724
2021-09-16 10:45:35.331947 : Epoch  5, Batch    931, Loss  0.865137, Average Loss  0.870175, Time  0.240757
2021-09-16 10:45:37.919415 : Epoch  5, Batch    932, Loss  0.872911, Average Loss  0.870160, Time  0.242404
2021-09-16 10:45:40.496957 : Epoch  5, Batch    933, Loss  0.862823, Average Loss  0.870036, Time  0.240297
2021-09-16 10:45:43.068980 : Epoch  5, Batch    934, Loss  0.874350, Average Loss  0.870044, Time  0.240457
2021-09-16 10:45:45.640413 : Epoch  5, Batch    935, Loss  0.863581, Average Loss  0.870079, Time  0.240412
2021-09-16 10:45:48.219243 : Epoch  5, Batch    936, Loss  0.881316, Average Loss  0.870062, Time  0.240265
2021-09-16 10:45:50.796378 : Epoch  5, Batch    937, Loss  0.890004, Average Loss  0.870126, Time  0.239974
2021-09-16 10:45:53.366445 : Epoch  5, Batch    938, Loss  0.863667, Average Loss  0.870148, Time  0.240036
2021-09-16 10:45:55.942943 : Epoch  5, Batch    939, Loss  0.867927, Average Loss  0.870169, Time  0.241204
2021-09-16 10:45:58.514287 : Epoch  5, Batch    940, Loss  0.852414, Average Loss  0.869989, Time  0.240166
2021-09-16 10:46:01.136304 : Epoch  5, Batch    941, Loss  0.863664, Average Loss  0.869911, Time  0.240146
2021-09-16 10:46:03.719890 : Epoch  5, Batch    942, Loss  0.889674, Average Loss  0.870063, Time  0.240699
2021-09-16 10:46:06.297228 : Epoch  5, Batch    943, Loss  0.894336, Average Loss  0.870207, Time  0.240360
2021-09-16 10:46:08.873505 : Epoch  5, Batch    944, Loss  0.857372, Average Loss  0.870208, Time  0.239738
2021-09-16 10:46:11.450997 : Epoch  5, Batch    945, Loss  0.867081, Average Loss  0.870229, Time  0.240196
2021-09-16 10:46:14.031444 : Epoch  5, Batch    946, Loss  0.882134, Average Loss  0.870324, Time  0.240787
2021-09-16 10:46:16.607197 : Epoch  5, Batch    947, Loss  0.858561, Average Loss  0.870383, Time  0.240064
2021-09-16 10:46:19.187104 : Epoch  5, Batch    948, Loss  0.867304, Average Loss  0.870420, Time  0.241230
2021-09-16 10:46:21.762266 : Epoch  5, Batch    949, Loss  0.856660, Average Loss  0.870436, Time  0.240571
2021-09-16 10:46:24.332284 : Epoch  5, Batch    950, Loss  0.866839, Average Loss  0.870608, Time  0.240546
2021-09-16 10:46:26.909849 : Epoch  5, Batch    951, Loss  0.871029, Average Loss  0.870515, Time  0.240001
2021-09-16 10:46:29.504868 : Epoch  5, Batch    952, Loss  0.856009, Average Loss  0.870390, Time  0.240330
2021-09-16 10:46:32.082638 : Epoch  5, Batch    953, Loss  0.860528, Average Loss  0.870297, Time  0.239973
2021-09-16 10:46:34.666172 : Epoch  5, Batch    954, Loss  0.859371, Average Loss  0.870290, Time  0.240621
2021-09-16 10:46:36.262494 : CheckPoint: Validation Loss  0.00029747, Best Loss  0.00029295
2021-09-16 10:46:37.249198 : Epoch  5, Batch    955, Loss  0.878504, Average Loss  0.870324, Time  0.240044
2021-09-16 10:46:39.270761 : Epoch  7, Batch    865, Loss  0.868272, Average Loss  0.868998, Time  0.267967
2021-09-16 10:46:39.828941 : Epoch  5, Batch    956, Loss  0.863178, Average Loss  0.870280, Time  0.240069
2021-09-16 10:46:42.254186 : Epoch  7, Batch    866, Loss  0.853964, Average Loss  0.868952, Time  0.266484
2021-09-16 10:46:42.431874 : Epoch  5, Batch    957, Loss  0.886349, Average Loss  0.870287, Time  0.245115
2021-09-16 10:46:44.998424 : Epoch  5, Batch    958, Loss  0.876679, Average Loss  0.870291, Time  0.240095
2021-09-16 10:46:45.246558 : Epoch  7, Batch    867, Loss  0.882500, Average Loss  0.868999, Time  0.265198
2021-09-16 10:46:47.589128 : Epoch  5, Batch    959, Loss  0.885653, Average Loss  0.870339, Time  0.240052
2021-09-16 10:46:48.218217 : Epoch  7, Batch    868, Loss  0.879798, Average Loss  0.869037, Time  0.265464
2021-09-16 10:46:50.163418 : Epoch  5, Batch    960, Loss  0.875318, Average Loss  0.870354, Time  0.240009
2021-09-16 10:46:51.206695 : Epoch  7, Batch    869, Loss  0.861867, Average Loss  0.868934, Time  0.265506
2021-09-16 10:46:52.750029 : Epoch  5, Batch    961, Loss  0.861025, Average Loss  0.870392, Time  0.241028
2021-09-16 10:46:54.193856 : Epoch  7, Batch    870, Loss  0.872668, Average Loss  0.868863, Time  0.265615
2021-09-16 10:46:55.329251 : Epoch  5, Batch    962, Loss  0.868273, Average Loss  0.870306, Time  0.241094
2021-09-16 10:46:57.212313 : Epoch  7, Batch    871, Loss  0.865736, Average Loss  0.868891, Time  0.266196
2021-09-16 10:46:57.908158 : Epoch  5, Batch    963, Loss  0.869733, Average Loss  0.870292, Time  0.239814
2021-09-16 10:47:00.243807 : Epoch  7, Batch    872, Loss  0.867133, Average Loss  0.868853, Time  0.267443
2021-09-16 10:47:00.480266 : Epoch  5, Batch    964, Loss  0.871927, Average Loss  0.870274, Time  0.240664
2021-09-16 10:47:03.055670 : Epoch  5, Batch    965, Loss  0.864469, Average Loss  0.870220, Time  0.241537
2021-09-16 10:47:03.258562 : Epoch  7, Batch    873, Loss  0.877357, Average Loss  0.868818, Time  0.266070
2021-09-16 10:47:05.632776 : Epoch  5, Batch    966, Loss  0.854268, Average Loss  0.870115, Time  0.239794
2021-09-16 10:47:06.262591 : Epoch  7, Batch    874, Loss  0.884935, Average Loss  0.868907, Time  0.266129
2021-09-16 10:47:08.228538 : Epoch  5, Batch    967, Loss  0.858723, Average Loss  0.870053, Time  0.240762
2021-09-16 10:47:09.265748 : Epoch  7, Batch    875, Loss  0.848693, Average Loss  0.868837, Time  0.266105
2021-09-16 10:47:10.811898 : Epoch  5, Batch    968, Loss  0.865055, Average Loss  0.869988, Time  0.239990
2021-09-16 10:47:12.252392 : Epoch  7, Batch    876, Loss  0.860207, Average Loss  0.868804, Time  0.265400
2021-09-16 10:47:13.395614 : Epoch  5, Batch    969, Loss  0.874777, Average Loss  0.869978, Time  0.241280
2021-09-16 10:47:15.235556 : Epoch  7, Batch    877, Loss  0.871645, Average Loss  0.868842, Time  0.266085
2021-09-16 10:47:15.977217 : Epoch  5, Batch    970, Loss  0.895870, Average Loss  0.869987, Time  0.241236
2021-09-16 10:47:18.258081 : Epoch  7, Batch    878, Loss  0.874900, Average Loss  0.868817, Time  0.265779
2021-09-16 10:47:18.563123 : Epoch  5, Batch    971, Loss  0.871337, Average Loss  0.870036, Time  0.241287
2021-09-16 10:47:21.142129 : Epoch  5, Batch    972, Loss  0.844761, Average Loss  0.869877, Time  0.241647
2021-09-16 10:47:21.270169 : Epoch  7, Batch    879, Loss  0.870681, Average Loss  0.868779, Time  0.277119
2021-09-16 10:47:23.729131 : Epoch  5, Batch    973, Loss  0.874022, Average Loss  0.869790, Time  0.240462
2021-09-16 10:47:24.275161 : Epoch  7, Batch    880, Loss  0.872236, Average Loss  0.868786, Time  0.268161
2021-09-16 10:47:26.318060 : Epoch  5, Batch    974, Loss  0.858542, Average Loss  0.869761, Time  0.240710
2021-09-16 10:47:27.287764 : Epoch  7, Batch    881, Loss  0.870335, Average Loss  0.868704, Time  0.266030
2021-09-16 10:47:28.909976 : Epoch  5, Batch    975, Loss  0.876003, Average Loss  0.869794, Time  0.240742
2021-09-16 10:47:30.264956 : Epoch  7, Batch    882, Loss  0.865440, Average Loss  0.868682, Time  0.265670
2021-09-16 10:47:31.495612 : Epoch  5, Batch    976, Loss  0.866068, Average Loss  0.869685, Time  0.240940
2021-09-16 10:47:33.246520 : Epoch  7, Batch    883, Loss  0.856033, Average Loss  0.868618, Time  0.265686
2021-09-16 10:47:36.246261 : Epoch  7, Batch    884, Loss  0.887419, Average Loss  0.868694, Time  0.268405
2021-09-16 10:47:39.267028 : Epoch  7, Batch    885, Loss  0.836082, Average Loss  0.868486, Time  0.265893
2021-09-16 10:47:42.287892 : Epoch  7, Batch    886, Loss  0.880416, Average Loss  0.868382, Time  0.266181
2021-09-16 10:47:45.284213 : Epoch  7, Batch    887, Loss  0.890641, Average Loss  0.868443, Time  0.266087
2021-09-16 10:47:48.268569 : Epoch  7, Batch    888, Loss  0.858600, Average Loss  0.868406, Time  0.265925
2021-09-16 10:47:51.259862 : Epoch  7, Batch    889, Loss  0.860038, Average Loss  0.868271, Time  0.265958
2021-09-16 10:47:54.283996 : Epoch  7, Batch    890, Loss  0.877940, Average Loss  0.868405, Time  0.265940
2021-09-16 10:47:57.315706 : Epoch  7, Batch    891, Loss  0.861573, Average Loss  0.868289, Time  0.267040
2021-09-16 10:48:00.373684 : Epoch  7, Batch    892, Loss  0.885102, Average Loss  0.868405, Time  0.265801
2021-09-16 10:48:03.392799 : Epoch  7, Batch    893, Loss  0.859145, Average Loss  0.868448, Time  0.265468
2021-09-16 10:48:06.401333 : Epoch  7, Batch    894, Loss  0.874932, Average Loss  0.868553, Time  0.277526
2021-09-16 10:48:09.418036 : Epoch  7, Batch    895, Loss  0.858257, Average Loss  0.868506, Time  0.264449
2021-09-16 10:48:12.392392 : Epoch  7, Batch    896, Loss  0.850108, Average Loss  0.868400, Time  0.266566
2021-09-16 10:48:15.405831 : Epoch  7, Batch    897, Loss  0.880597, Average Loss  0.868483, Time  0.265689
2021-09-16 10:48:18.395813 : Epoch  7, Batch    898, Loss  0.890256, Average Loss  0.868584, Time  0.265995
2021-09-16 10:48:21.422507 : Epoch  7, Batch    899, Loss  0.873511, Average Loss  0.868604, Time  0.265907
2021-09-16 10:48:24.413593 : Epoch  7, Batch    900, Loss  0.862296, Average Loss  0.868597, Time  0.266666
2021-09-16 10:48:27.409622 : Epoch  7, Batch    901, Loss  0.879446, Average Loss  0.868684, Time  0.266129
2021-09-16 10:48:30.405721 : Epoch  7, Batch    902, Loss  0.887094, Average Loss  0.868898, Time  0.267928
2021-09-16 10:48:33.406228 : Epoch  7, Batch    903, Loss  0.878320, Average Loss  0.868934, Time  0.265218
2021-09-16 10:48:36.394930 : Epoch  7, Batch    904, Loss  0.861750, Average Loss  0.868772, Time  0.265171
2021-09-16 10:48:39.393066 : Epoch  7, Batch    905, Loss  0.872384, Average Loss  0.868777, Time  0.266009
2021-09-16 10:48:42.416096 : Epoch  7, Batch    906, Loss  0.852110, Average Loss  0.868668, Time  0.266166
2021-09-16 10:48:45.411222 : Epoch  7, Batch    907, Loss  0.871732, Average Loss  0.868706, Time  0.265419
2021-09-16 10:48:48.392056 : Epoch  7, Batch    908, Loss  0.858738, Average Loss  0.868563, Time  0.264864
2021-09-16 10:48:51.408167 : Epoch  7, Batch    909, Loss  0.894037, Average Loss  0.868627, Time  0.271807
2021-09-16 10:48:54.402218 : Epoch  7, Batch    910, Loss  0.862570, Average Loss  0.868655, Time  0.265948
2021-09-16 10:48:57.405026 : Epoch  7, Batch    911, Loss  0.865881, Average Loss  0.868507, Time  0.266078
2021-09-16 10:49:00.417461 : Epoch  7, Batch    912, Loss  0.860876, Average Loss  0.868544, Time  0.266111
2021-09-16 10:49:03.391888 : Epoch  7, Batch    913, Loss  0.890464, Average Loss  0.868745, Time  0.264912
2021-09-16 10:49:06.361832 : Epoch  7, Batch    914, Loss  0.866160, Average Loss  0.868776, Time  0.264682
2021-09-16 10:49:09.350208 : Epoch  7, Batch    915, Loss  0.890365, Average Loss  0.868947, Time  0.266402
2021-09-16 10:49:12.356710 : Epoch  7, Batch    916, Loss  0.863083, Average Loss  0.868817, Time  0.265451
2021-09-16 10:49:15.348347 : Epoch  7, Batch    917, Loss  0.870574, Average Loss  0.868794, Time  0.266318
2021-09-16 10:49:18.344360 : Epoch  7, Batch    918, Loss  0.862836, Average Loss  0.868806, Time  0.265574
2021-09-16 10:49:21.325858 : Epoch  7, Batch    919, Loss  0.881178, Average Loss  0.868934, Time  0.266098
2021-09-16 10:49:24.309865 : Epoch  7, Batch    920, Loss  0.903362, Average Loss  0.869141, Time  0.267550
2021-09-16 10:49:27.294068 : Epoch  7, Batch    921, Loss  0.869671, Average Loss  0.869229, Time  0.266361
2021-09-16 10:49:30.293215 : Epoch  7, Batch    922, Loss  0.873475, Average Loss  0.869319, Time  0.266003
2021-09-16 10:49:33.297550 : Epoch  7, Batch    923, Loss  0.879297, Average Loss  0.869311, Time  0.266103
2021-09-16 10:49:36.315218 : Epoch  7, Batch    924, Loss  0.865339, Average Loss  0.869231, Time  0.275825
2021-09-16 10:49:39.337992 : Epoch  7, Batch    925, Loss  0.860940, Average Loss  0.869177, Time  0.266368
2021-09-16 10:49:42.333551 : Epoch  7, Batch    926, Loss  0.880272, Average Loss  0.869133, Time  0.266090
2021-09-16 10:49:45.309696 : Epoch  7, Batch    927, Loss  0.863556, Average Loss  0.869125, Time  0.264834
2021-09-16 10:49:48.297185 : Epoch  7, Batch    928, Loss  0.853856, Average Loss  0.868944, Time  0.264854
2021-09-16 10:49:51.279826 : Epoch  7, Batch    929, Loss  0.846096, Average Loss  0.868861, Time  0.265593
2021-09-16 10:49:54.278642 : Epoch  7, Batch    930, Loss  0.872984, Average Loss  0.868962, Time  0.267933
2021-09-16 10:49:57.273183 : Epoch  7, Batch    931, Loss  0.884015, Average Loss  0.869056, Time  0.266971
2021-09-16 10:50:00.298498 : Epoch  7, Batch    932, Loss  0.863685, Average Loss  0.869117, Time  0.264941
2021-09-16 10:50:03.310209 : Epoch  7, Batch    933, Loss  0.884053, Average Loss  0.869204, Time  0.265040
2021-09-16 10:50:06.308981 : Epoch  7, Batch    934, Loss  0.874744, Average Loss  0.869197, Time  0.265457
2021-09-16 10:50:09.320041 : Epoch  7, Batch    935, Loss  0.865791, Average Loss  0.869120, Time  0.266321
2021-09-16 10:50:12.305986 : Epoch  7, Batch    936, Loss  0.867340, Average Loss  0.869129, Time  0.265024
2021-09-16 10:50:15.299521 : Epoch  7, Batch    937, Loss  0.863737, Average Loss  0.869060, Time  0.265855
2021-09-16 10:50:18.314543 : Epoch  7, Batch    938, Loss  0.860343, Average Loss  0.869036, Time  0.265726
2021-09-16 10:50:21.345768 : Epoch  7, Batch    939, Loss  0.855229, Average Loss  0.868948, Time  0.279811
2021-09-16 10:50:24.363141 : Epoch  7, Batch    940, Loss  0.880854, Average Loss  0.868958, Time  0.268743
2021-09-16 10:50:27.338090 : Epoch  7, Batch    941, Loss  0.889804, Average Loss  0.868961, Time  0.265319
2021-09-16 10:50:30.359399 : Epoch  7, Batch    942, Loss  0.868773, Average Loss  0.869030, Time  0.266051
2021-09-16 10:50:33.333649 : Epoch  7, Batch    943, Loss  0.868276, Average Loss  0.868981, Time  0.265924
2021-09-16 10:50:36.336167 : Epoch  7, Batch    944, Loss  0.892695, Average Loss  0.869120, Time  0.266255
2021-09-16 10:50:37.805094 : Epoch  7, Batch    945, Loss  0.908374, Average Loss  0.869342, Time  0.165560
2021-09-16 10:50:40.794295 : Epoch  7, Batch    946, Loss  0.884356, Average Loss  0.869533, Time  0.265229
2021-09-16 10:50:43.788920 : Epoch  7, Batch    947, Loss  0.871013, Average Loss  0.869605, Time  0.266338
2021-09-16 10:50:46.809240 : Epoch  7, Batch    948, Loss  0.864266, Average Loss  0.869597, Time  0.266004
2021-09-16 10:50:49.818574 : Epoch  7, Batch    949, Loss  0.861499, Average Loss  0.869525, Time  0.265649
2021-09-16 10:50:52.807329 : Epoch  7, Batch    950, Loss  0.871327, Average Loss  0.869597, Time  0.267898
2021-09-16 10:50:55.783424 : Epoch  7, Batch    951, Loss  0.870232, Average Loss  0.869578, Time  0.265315
2021-09-16 10:50:58.761143 : Epoch  7, Batch    952, Loss  0.888940, Average Loss  0.869808, Time  0.265645
2021-09-16 10:51:01.755506 : Epoch  7, Batch    953, Loss  0.866215, Average Loss  0.869788, Time  0.265054
2021-09-16 10:51:04.736325 : Epoch  7, Batch    954, Loss  0.841886, Average Loss  0.869786, Time  0.265205
2021-09-16 10:51:07.728830 : Epoch  7, Batch    955, Loss  0.879040, Average Loss  0.869841, Time  0.276407
2021-09-16 10:51:10.712631 : Epoch  7, Batch    956, Loss  0.880259, Average Loss  0.870017, Time  0.265427
2021-09-16 10:51:13.683262 : Epoch  7, Batch    957, Loss  0.868301, Average Loss  0.870007, Time  0.264705
2021-09-16 10:51:16.598037 : Epoch  7, Batch    958, Loss  0.860722, Average Loss  0.869960, Time  0.266700
2021-09-16 10:51:19.570926 : Epoch  7, Batch    959, Loss  0.850641, Average Loss  0.869965, Time  0.265084
2021-09-16 10:51:22.560620 : Epoch  7, Batch    960, Loss  0.868537, Average Loss  0.870099, Time  0.265126
2021-09-16 10:51:25.562484 : Epoch  7, Batch    961, Loss  0.862418, Average Loss  0.870123, Time  0.267919
2021-09-16 10:51:28.574147 : Epoch  7, Batch    962, Loss  0.872741, Average Loss  0.870218, Time  0.266128
2021-09-16 10:51:31.553160 : Epoch  7, Batch    963, Loss  0.878094, Average Loss  0.870258, Time  0.267185
2021-09-16 10:51:34.555314 : Epoch  7, Batch    964, Loss  0.886685, Average Loss  0.870288, Time  0.265953
2021-09-16 10:51:34.784135 : CheckPoint: Validation Loss  0.00029746, Best Loss  0.00029226
2021-09-16 10:51:37.358820 : Epoch  5, Batch    977, Loss  0.877729, Average Loss  0.869678, Time  0.241609
2021-09-16 10:51:39.953072 : Epoch  5, Batch    978, Loss  0.865707, Average Loss  0.869623, Time  0.242923
2021-09-16 10:51:42.539117 : Epoch  5, Batch    979, Loss  0.876025, Average Loss  0.869662, Time  0.240146
2021-09-16 10:51:45.121379 : Epoch  5, Batch    980, Loss  0.870947, Average Loss  0.869629, Time  0.240119
2021-09-16 10:51:47.699716 : Epoch  5, Batch    981, Loss  0.868855, Average Loss  0.869675, Time  0.239593
2021-09-16 10:51:50.293667 : Epoch  5, Batch    982, Loss  0.876909, Average Loss  0.869687, Time  0.239912
2021-09-16 10:51:52.871234 : Epoch  5, Batch    983, Loss  0.862812, Average Loss  0.869536, Time  0.240778
2021-09-16 10:51:55.447590 : Epoch  5, Batch    984, Loss  0.863097, Average Loss  0.869492, Time  0.241251
2021-09-16 10:51:58.028332 : Epoch  5, Batch    985, Loss  0.881727, Average Loss  0.869505, Time  0.242620
2021-09-16 10:52:00.613190 : Epoch  5, Batch    986, Loss  0.858874, Average Loss  0.869400, Time  0.241965
2021-09-16 10:52:03.193629 : Epoch  5, Batch    987, Loss  0.862139, Average Loss  0.869285, Time  0.240011
2021-09-16 10:52:05.775431 : Epoch  5, Batch    988, Loss  0.867592, Average Loss  0.869249, Time  0.240382
2021-09-16 10:52:08.362872 : Epoch  5, Batch    989, Loss  0.860942, Average Loss  0.869246, Time  0.241662
2021-09-16 10:52:10.953902 : Epoch  5, Batch    990, Loss  0.853993, Average Loss  0.869199, Time  0.241119
2021-09-16 10:52:13.538416 : Epoch  5, Batch    991, Loss  0.864912, Average Loss  0.869228, Time  0.241400
2021-09-16 10:52:16.122427 : Epoch  5, Batch    992, Loss  0.873617, Average Loss  0.869292, Time  0.239976
2021-09-16 10:52:18.709144 : Epoch  5, Batch    993, Loss  0.879994, Average Loss  0.869375, Time  0.241231
2021-09-16 10:52:21.292821 : Epoch  5, Batch    994, Loss  0.866921, Average Loss  0.869406, Time  0.240185
2021-09-16 10:52:23.879103 : Epoch  5, Batch    995, Loss  0.848205, Average Loss  0.869325, Time  0.239975
2021-09-16 10:52:26.454250 : Epoch  5, Batch    996, Loss  0.874772, Average Loss  0.869419, Time  0.240020
2021-09-16 10:52:29.051033 : Epoch  5, Batch    997, Loss  0.872916, Average Loss  0.869491, Time  0.243884
2021-09-16 10:52:31.619991 : Epoch  5, Batch    998, Loss  0.868254, Average Loss  0.869399, Time  0.240742
2021-09-16 10:52:34.192352 : Epoch  5, Batch    999, Loss  0.873435, Average Loss  0.869410, Time  0.240009
2021-09-16 10:52:36.786863 : Epoch  5, Batch   1000, Loss  0.858452, Average Loss  0.869370, Time  0.240863
2021-09-16 10:52:39.358703 : Epoch  5, Batch   1001, Loss  0.864194, Average Loss  0.869340, Time  0.240591
2021-09-16 10:52:41.936854 : Epoch  5, Batch   1002, Loss  0.849846, Average Loss  0.869227, Time  0.240346
2021-09-16 10:52:44.508262 : Epoch  5, Batch   1003, Loss  0.857999, Average Loss  0.869189, Time  0.239830
2021-09-16 10:52:47.099905 : Epoch  5, Batch   1004, Loss  0.856365, Average Loss  0.869080, Time  0.240100
2021-09-16 10:52:49.685749 : Epoch  5, Batch   1005, Loss  0.877877, Average Loss  0.869036, Time  0.240044
2021-09-16 10:52:52.270419 : Epoch  5, Batch   1006, Loss  0.892208, Average Loss  0.869134, Time  0.240731
2021-09-16 10:52:54.858864 : Epoch  5, Batch   1007, Loss  0.866561, Average Loss  0.869128, Time  0.240754
2021-09-16 10:52:57.445925 : Epoch  5, Batch   1008, Loss  0.880085, Average Loss  0.869069, Time  0.241921
2021-09-16 10:53:00.030087 : Epoch  5, Batch   1009, Loss  0.863779, Average Loss  0.868985, Time  0.240603
2021-09-16 10:53:02.627232 : Epoch  5, Batch   1010, Loss  0.891832, Average Loss  0.869045, Time  0.240235
2021-09-16 10:53:05.194985 : Epoch  5, Batch   1011, Loss  0.872527, Average Loss  0.869107, Time  0.240296
2021-09-16 10:53:07.772853 : Epoch  5, Batch   1012, Loss  0.856066, Average Loss  0.869084, Time  0.240836
2021-09-16 10:53:10.346219 : Epoch  5, Batch   1013, Loss  0.889332, Average Loss  0.869145, Time  0.240312
2021-09-16 10:53:12.921472 : Epoch  5, Batch   1014, Loss  0.861109, Average Loss  0.869184, Time  0.240134
2021-09-16 10:53:15.491082 : Epoch  5, Batch   1015, Loss  0.884134, Average Loss  0.869260, Time  0.240690
2021-09-16 10:53:18.066435 : Epoch  5, Batch   1016, Loss  0.872155, Average Loss  0.869366, Time  0.239735
2021-09-16 10:53:20.643554 : Epoch  5, Batch   1017, Loss  0.876996, Average Loss  0.869426, Time  0.241232
2021-09-16 10:53:23.220093 : Epoch  5, Batch   1018, Loss  0.854104, Average Loss  0.869387, Time  0.240521
2021-09-16 10:53:25.796444 : Epoch  5, Batch   1019, Loss  0.866691, Average Loss  0.869421, Time  0.240583
2021-09-16 10:53:28.387322 : Epoch  5, Batch   1020, Loss  0.882885, Average Loss  0.869487, Time  0.240951
2021-09-16 10:53:30.975432 : Epoch  5, Batch   1021, Loss  0.876057, Average Loss  0.869520, Time  0.241052
2021-09-16 10:53:33.544721 : Epoch  5, Batch   1022, Loss  0.863015, Average Loss  0.869499, Time  0.240243
2021-09-16 10:53:36.115430 : Epoch  5, Batch   1023, Loss  0.857252, Average Loss  0.869376, Time  0.239808
2021-09-16 10:53:38.695864 : Epoch  5, Batch   1024, Loss  0.868717, Average Loss  0.869438, Time  0.240988
2021-09-16 10:53:41.274379 : Epoch  5, Batch   1025, Loss  0.871451, Average Loss  0.869436, Time  0.240005
2021-09-16 10:53:43.881413 : Epoch  5, Batch   1026, Loss  0.872567, Average Loss  0.869482, Time  0.240290
2021-09-16 10:53:46.454116 : Epoch  5, Batch   1027, Loss  0.854075, Average Loss  0.869425, Time  0.240074
2021-09-16 10:53:49.031454 : Epoch  5, Batch   1028, Loss  0.850306, Average Loss  0.869257, Time  0.240140
2021-09-16 10:53:51.613387 : Epoch  5, Batch   1029, Loss  0.914591, Average Loss  0.869481, Time  0.240043
2021-09-16 10:53:54.188200 : Epoch  5, Batch   1030, Loss  0.866700, Average Loss  0.869425, Time  0.241051
2021-09-16 10:53:56.766887 : Epoch  5, Batch   1031, Loss  0.868863, Average Loss  0.869435, Time  0.240239
2021-09-16 10:53:59.345978 : Epoch  5, Batch   1032, Loss  0.892926, Average Loss  0.869481, Time  0.241316
2021-09-16 10:54:01.921387 : Epoch  5, Batch   1033, Loss  0.865321, Average Loss  0.869390, Time  0.239980
2021-09-16 10:54:04.527638 : Epoch  5, Batch   1034, Loss  0.861404, Average Loss  0.869360, Time  0.240307
2021-09-16 10:54:07.109779 : Epoch  5, Batch   1035, Loss  0.885164, Average Loss  0.869365, Time  0.240333
2021-09-16 10:54:09.682451 : Epoch  5, Batch   1036, Loss  0.885316, Average Loss  0.869451, Time  0.239779
2021-09-16 10:54:12.259886 : Epoch  5, Batch   1037, Loss  0.858877, Average Loss  0.869472, Time  0.239675
2021-09-16 10:54:14.843713 : Epoch  5, Batch   1038, Loss  0.845415, Average Loss  0.869325, Time  0.240688
2021-09-16 10:54:17.418857 : Epoch  5, Batch   1039, Loss  0.865765, Average Loss  0.869358, Time  0.239945
2021-09-16 10:54:20.010392 : Epoch  5, Batch   1040, Loss  0.854883, Average Loss  0.869148, Time  0.240744
2021-09-16 10:54:22.591810 : Epoch  5, Batch   1041, Loss  0.853573, Average Loss  0.869067, Time  0.240411
2021-09-16 10:54:25.220857 : Epoch  5, Batch   1042, Loss  0.859195, Average Loss  0.868974, Time  0.259924
2021-09-16 10:54:27.809804 : Epoch  5, Batch   1043, Loss  0.864947, Average Loss  0.868991, Time  0.239975
2021-09-16 10:54:30.391305 : Epoch  5, Batch   1044, Loss  0.889294, Average Loss  0.869062, Time  0.239994
2021-09-16 10:54:32.968839 : Epoch  5, Batch   1045, Loss  0.900283, Average Loss  0.869141, Time  0.240170
2021-09-16 10:54:35.569913 : Epoch  5, Batch   1046, Loss  0.871999, Average Loss  0.869150, Time  0.240045
2021-09-16 10:54:38.147468 : Epoch  5, Batch   1047, Loss  0.877427, Average Loss  0.869247, Time  0.241306
2021-09-16 10:54:40.727270 : Epoch  5, Batch   1048, Loss  0.873246, Average Loss  0.869246, Time  0.241542
2021-09-16 10:54:43.305380 : Epoch  5, Batch   1049, Loss  0.863951, Average Loss  0.869255, Time  0.240242
2021-09-16 10:54:45.878422 : Epoch  5, Batch   1050, Loss  0.859546, Average Loss  0.869291, Time  0.239967
2021-09-16 10:54:48.469800 : Epoch  5, Batch   1051, Loss  0.853847, Average Loss  0.869164, Time  0.242030
2021-09-16 10:54:51.064324 : Epoch  5, Batch   1052, Loss  0.881548, Average Loss  0.869130, Time  0.240332
2021-09-16 10:54:53.646409 : Epoch  5, Batch   1053, Loss  0.858604, Average Loss  0.869134, Time  0.242355
2021-09-16 10:54:56.225683 : Epoch  5, Batch   1054, Loss  0.883102, Average Loss  0.869140, Time  0.239712
2021-09-16 10:54:58.798854 : Epoch  5, Batch   1055, Loss  0.871591, Average Loss  0.869195, Time  0.240760
2021-09-16 10:55:01.375371 : Epoch  5, Batch   1056, Loss  0.876183, Average Loss  0.869226, Time  0.239973
2021-09-16 10:55:03.966352 : Epoch  5, Batch   1057, Loss  0.827694, Average Loss  0.869001, Time  0.240591
2021-09-16 10:55:06.568197 : Epoch  5, Batch   1058, Loss  0.859098, Average Loss  0.868904, Time  0.239963
2021-09-16 10:55:09.149096 : Epoch  5, Batch   1059, Loss  0.860989, Average Loss  0.868951, Time  0.240067
2021-09-16 10:55:11.731217 : Epoch  5, Batch   1060, Loss  0.871422, Average Loss  0.868991, Time  0.240586
2021-09-16 10:55:14.313552 : Epoch  5, Batch   1061, Loss  0.881630, Average Loss  0.869025, Time  0.240012
2021-09-16 10:55:16.899952 : Epoch  5, Batch   1062, Loss  0.875120, Average Loss  0.869063, Time  0.240297
2021-09-16 10:55:19.484814 : Epoch  5, Batch   1063, Loss  0.872429, Average Loss  0.869150, Time  0.240955
2021-09-16 10:55:22.070128 : Epoch  5, Batch   1064, Loss  0.863194, Average Loss  0.869126, Time  0.240540
2021-09-16 10:55:24.650405 : Epoch  5, Batch   1065, Loss  0.883249, Average Loss  0.869119, Time  0.239727
2021-09-16 10:55:27.235424 : Epoch  5, Batch   1066, Loss  0.863199, Average Loss  0.869156, Time  0.239790
2021-09-16 10:55:29.818331 : Epoch  5, Batch   1067, Loss  0.859266, Average Loss  0.869117, Time  0.240128
2021-09-16 10:55:32.398400 : Epoch  5, Batch   1068, Loss  0.864394, Average Loss  0.869065, Time  0.240470
2021-09-16 10:55:34.979165 : Epoch  5, Batch   1069, Loss  0.868249, Average Loss  0.869021, Time  0.240235
2021-09-16 10:55:37.560001 : Epoch  5, Batch   1070, Loss  0.869270, Average Loss  0.869028, Time  0.240119
2021-09-16 10:55:40.143945 : Epoch  5, Batch   1071, Loss  0.870150, Average Loss  0.869010, Time  0.241791
2021-09-16 10:55:42.725199 : Epoch  5, Batch   1072, Loss  0.857568, Average Loss  0.868919, Time  0.240070
2021-09-16 10:55:45.297039 : Epoch  5, Batch   1073, Loss  0.885404, Average Loss  0.868959, Time  0.240421
2021-09-16 10:55:47.875830 : Epoch  5, Batch   1074, Loss  0.866874, Average Loss  0.869006, Time  0.240228
2021-09-16 10:55:50.468068 : Epoch  5, Batch   1075, Loss  0.857842, Average Loss  0.868945, Time  0.240383
2021-09-16 10:55:53.057219 : Epoch  5, Batch   1076, Loss  0.863704, Average Loss  0.868955, Time  0.241301
2021-09-16 10:56:14.484928 : CheckPoint: Validation Loss  0.00029509, Best Loss  0.00029295
2021-09-16 10:56:17.474330 : Epoch  7, Batch    965, Loss  0.872393, Average Loss  0.870275, Time  0.267422
2021-09-16 10:56:20.463826 : Epoch  7, Batch    966, Loss  0.880237, Average Loss  0.870384, Time  0.265553
2021-09-16 10:56:23.447929 : Epoch  7, Batch    967, Loss  0.885442, Average Loss  0.870528, Time  0.265298
2021-09-16 10:56:26.453056 : Epoch  7, Batch    968, Loss  0.848533, Average Loss  0.870382, Time  0.266115
2021-09-16 10:56:29.442146 : Epoch  7, Batch    969, Loss  0.870603, Average Loss  0.870217, Time  0.266296
2021-09-16 10:56:32.443554 : Epoch  7, Batch    970, Loss  0.866205, Average Loss  0.870248, Time  0.277136
2021-09-16 10:56:35.460097 : Epoch  7, Batch    971, Loss  0.859406, Average Loss  0.870211, Time  0.265972
2021-09-16 10:56:38.478940 : Epoch  7, Batch    972, Loss  0.882544, Average Loss  0.870234, Time  0.265835
2021-09-16 10:56:41.491488 : Epoch  7, Batch    973, Loss  0.869893, Average Loss  0.870220, Time  0.265424
2021-09-16 10:56:44.480091 : Epoch  7, Batch    974, Loss  0.874865, Average Loss  0.870170, Time  0.266171
2021-09-16 10:56:47.473484 : Epoch  7, Batch    975, Loss  0.865702, Average Loss  0.870085, Time  0.265241
2021-09-16 10:56:50.455721 : Epoch  7, Batch    976, Loss  0.879415, Average Loss  0.870098, Time  0.265205
2021-09-16 10:56:53.449327 : Epoch  7, Batch    977, Loss  0.861563, Average Loss  0.870131, Time  0.267980
2021-09-16 10:56:56.464978 : Epoch  7, Batch    978, Loss  0.870714, Average Loss  0.870125, Time  0.265535
2021-09-16 10:56:59.452998 : Epoch  7, Batch    979, Loss  0.865256, Average Loss  0.870064, Time  0.267894
2021-09-16 10:57:02.427994 : Epoch  7, Batch    980, Loss  0.863915, Average Loss  0.870031, Time  0.265470
2021-09-16 10:57:05.437466 : Epoch  7, Batch    981, Loss  0.862641, Average Loss  0.869992, Time  0.266428
2021-09-16 10:57:08.465163 : Epoch  7, Batch    982, Loss  0.865965, Average Loss  0.869928, Time  0.266530
2021-09-16 10:57:11.455414 : Epoch  7, Batch    983, Loss  0.863304, Average Loss  0.869904, Time  0.265886
2021-09-16 10:57:14.464106 : Epoch  7, Batch    984, Loss  0.871237, Average Loss  0.869870, Time  0.265986
2021-09-16 10:57:17.482840 : Epoch  7, Batch    985, Loss  0.867391, Average Loss  0.869775, Time  0.277999
2021-09-16 10:57:20.490416 : Epoch  7, Batch    986, Loss  0.878479, Average Loss  0.869772, Time  0.266602
2021-09-16 10:57:23.498073 : Epoch  7, Batch    987, Loss  0.889394, Average Loss  0.869949, Time  0.265963
2021-09-16 10:57:26.519453 : Epoch  7, Batch    988, Loss  0.867069, Average Loss  0.869973, Time  0.264960
2021-09-16 10:57:29.512058 : Epoch  7, Batch    989, Loss  0.856937, Average Loss  0.870022, Time  0.264599
2021-09-16 10:57:32.501182 : Epoch  7, Batch    990, Loss  0.888157, Average Loss  0.870040, Time  0.267741
2021-09-16 10:57:35.531182 : Epoch  7, Batch    991, Loss  0.872649, Average Loss  0.870080, Time  0.265270
2021-09-16 10:57:38.537989 : Epoch  7, Batch    992, Loss  0.856845, Average Loss  0.870044, Time  0.265900
2021-09-16 10:57:41.521475 : Epoch  7, Batch    993, Loss  0.872448, Average Loss  0.870101, Time  0.265124
2021-09-16 10:57:44.558217 : Epoch  7, Batch    994, Loss  0.879839, Average Loss  0.870111, Time  0.267836
2021-09-16 10:57:47.581341 : Epoch  7, Batch    995, Loss  0.878963, Average Loss  0.870200, Time  0.265170
2021-09-16 10:57:50.563702 : Epoch  7, Batch    996, Loss  0.887139, Average Loss  0.870229, Time  0.266037
2021-09-16 10:57:53.573272 : Epoch  7, Batch    997, Loss  0.874606, Average Loss  0.870186, Time  0.265399
2021-09-16 10:57:56.559353 : Epoch  7, Batch    998, Loss  0.868072, Average Loss  0.870243, Time  0.266217
2021-09-16 10:57:59.546030 : Epoch  7, Batch    999, Loss  0.863865, Average Loss  0.870236, Time  0.266997
2021-09-16 10:58:02.554548 : Epoch  7, Batch   1000, Loss  0.866378, Average Loss  0.870215, Time  0.274814
2021-09-16 10:58:05.564534 : Epoch  7, Batch   1001, Loss  0.863682, Average Loss  0.870098, Time  0.266379
2021-09-16 10:58:08.556211 : Epoch  7, Batch   1002, Loss  0.859335, Average Loss  0.870077, Time  0.267534
2021-09-16 10:58:11.566540 : Epoch  7, Batch   1003, Loss  0.866378, Average Loss  0.870147, Time  0.266921
2021-09-16 10:58:14.589959 : Epoch  7, Batch   1004, Loss  0.880554, Average Loss  0.870214, Time  0.267301
2021-09-16 10:58:17.614558 : Epoch  7, Batch   1005, Loss  0.874456, Average Loss  0.870125, Time  0.266053
2021-09-16 10:58:20.634059 : Epoch  7, Batch   1006, Loss  0.863915, Average Loss  0.870110, Time  0.266241
2021-09-16 10:58:23.618623 : Epoch  7, Batch   1007, Loss  0.869900, Average Loss  0.870221, Time  0.264217
2021-09-16 10:58:26.606032 : Epoch  7, Batch   1008, Loss  0.872138, Average Loss  0.870211, Time  0.264922
2021-09-16 10:58:29.598318 : Epoch  7, Batch   1009, Loss  0.857581, Average Loss  0.870157, Time  0.265658
2021-09-16 10:58:32.584231 : Epoch  7, Batch   1010, Loss  0.870595, Average Loss  0.870103, Time  0.266556
2021-09-16 10:58:35.560907 : Epoch  7, Batch   1011, Loss  0.874096, Average Loss  0.870064, Time  0.266001
2021-09-16 10:58:38.556978 : Epoch  7, Batch   1012, Loss  0.859317, Average Loss  0.870007, Time  0.266376
2021-09-16 10:58:41.559668 : Epoch  7, Batch   1013, Loss  0.853223, Average Loss  0.869964, Time  0.265890
2021-09-16 10:58:44.547427 : Epoch  7, Batch   1014, Loss  0.864934, Average Loss  0.870008, Time  0.265859
2021-09-16 10:58:47.580433 : Epoch  7, Batch   1015, Loss  0.883433, Average Loss  0.869995, Time  0.279001
2021-09-16 10:58:50.567947 : Epoch  7, Batch   1016, Loss  0.896102, Average Loss  0.870104, Time  0.265617
2021-09-16 10:58:53.542070 : Epoch  7, Batch   1017, Loss  0.872387, Average Loss  0.870059, Time  0.265403
2021-09-16 10:58:56.524391 : Epoch  7, Batch   1018, Loss  0.840155, Average Loss  0.869943, Time  0.266085
2021-09-16 10:58:59.542332 : Epoch  7, Batch   1019, Loss  0.854692, Average Loss  0.869987, Time  0.267457
2021-09-16 10:59:02.537655 : Epoch  7, Batch   1020, Loss  0.868786, Average Loss  0.870003, Time  0.266271
2021-09-16 10:59:05.523783 : Epoch  7, Batch   1021, Loss  0.880917, Average Loss  0.870000, Time  0.265762
2021-09-16 10:59:08.503832 : Epoch  7, Batch   1022, Loss  0.866738, Average Loss  0.870034, Time  0.265887
2021-09-16 10:59:11.496302 : Epoch  7, Batch   1023, Loss  0.863069, Average Loss  0.870021, Time  0.266258
2021-09-16 10:59:14.481126 : Epoch  7, Batch   1024, Loss  0.868687, Average Loss  0.870072, Time  0.266013
2021-09-16 10:59:17.497757 : Epoch  7, Batch   1025, Loss  0.866157, Average Loss  0.870027, Time  0.266664
2021-09-16 10:59:20.504980 : Epoch  7, Batch   1026, Loss  0.873141, Average Loss  0.870109, Time  0.266739
2021-09-16 10:59:23.483330 : Epoch  7, Batch   1027, Loss  0.877006, Average Loss  0.870126, Time  0.265218
2021-09-16 10:59:26.470619 : Epoch  7, Batch   1028, Loss  0.881145, Average Loss  0.870264, Time  0.266082
2021-09-16 10:59:29.449716 : Epoch  7, Batch   1029, Loss  0.861718, Average Loss  0.870241, Time  0.265387
2021-09-16 10:59:32.431946 : Epoch  7, Batch   1030, Loss  0.872404, Average Loss  0.870273, Time  0.277461
2021-09-16 10:59:35.408668 : Epoch  7, Batch   1031, Loss  0.861375, Average Loss  0.870193, Time  0.265739
2021-09-16 10:59:38.417597 : Epoch  7, Batch   1032, Loss  0.850833, Average Loss  0.870102, Time  0.265969
2021-09-16 10:59:41.397728 : Epoch  7, Batch   1033, Loss  0.885163, Average Loss  0.870199, Time  0.265821
2021-09-16 10:59:44.373160 : Epoch  7, Batch   1034, Loss  0.857851, Average Loss  0.869950, Time  0.265488
2021-09-16 10:59:47.358210 : Epoch  7, Batch   1035, Loss  0.864215, Average Loss  0.869957, Time  0.266140
2021-09-16 10:59:50.375039 : Epoch  7, Batch   1036, Loss  0.881386, Average Loss  0.870019, Time  0.265820
2021-09-16 10:59:53.373012 : Epoch  7, Batch   1037, Loss  0.874431, Average Loss  0.870110, Time  0.266374
2021-09-16 10:59:55.841749 : CheckPoint: Validation Loss  0.00030435, Best Loss  0.00029226
2021-09-16 10:59:56.371056 : Epoch  7, Batch   1038, Loss  0.882965, Average Loss  0.870194, Time  0.265433
2021-09-16 10:59:58.440340 : Epoch  5, Batch   1077, Loss  0.874213, Average Loss  0.868928, Time  0.241057
2021-09-16 10:59:59.367527 : Epoch  7, Batch   1039, Loss  0.858361, Average Loss  0.870182, Time  0.266206
2021-09-16 11:00:01.037056 : Epoch  5, Batch   1078, Loss  0.873327, Average Loss  0.868981, Time  0.240066
2021-09-16 11:00:02.346607 : Epoch  7, Batch   1040, Loss  0.869942, Average Loss  0.870164, Time  0.267473
2021-09-16 11:00:03.638429 : Epoch  5, Batch   1079, Loss  0.859083, Average Loss  0.869038, Time  0.241590
2021-09-16 11:00:05.364717 : Epoch  7, Batch   1041, Loss  0.859465, Average Loss  0.870099, Time  0.266788
2021-09-16 11:00:06.224398 : Epoch  5, Batch   1080, Loss  0.873152, Average Loss  0.868973, Time  0.241245
2021-09-16 11:00:08.354313 : Epoch  7, Batch   1042, Loss  0.845628, Average Loss  0.869961, Time  0.267076
2021-09-16 11:00:08.810347 : Epoch  5, Batch   1081, Loss  0.872933, Average Loss  0.869021, Time  0.240867
2021-09-16 11:00:11.333029 : Epoch  7, Batch   1043, Loss  0.847830, Average Loss  0.869835, Time  0.266215
2021-09-16 11:00:11.398416 : Epoch  5, Batch   1082, Loss  0.862767, Average Loss  0.868966, Time  0.241203
2021-09-16 11:00:13.993092 : Epoch  5, Batch   1083, Loss  0.872954, Average Loss  0.868920, Time  0.239771
2021-09-16 11:00:14.316037 : Epoch  7, Batch   1044, Loss  0.865642, Average Loss  0.869699, Time  0.265975
2021-09-16 11:00:16.589560 : Epoch  5, Batch   1084, Loss  0.873099, Average Loss  0.868878, Time  0.240608
2021-09-16 11:00:17.332204 : Epoch  7, Batch   1045, Loss  0.891146, Average Loss  0.869864, Time  0.279488
2021-09-16 11:00:19.189813 : Epoch  5, Batch   1085, Loss  0.870098, Average Loss  0.868856, Time  0.241178
2021-09-16 11:00:20.314284 : Epoch  7, Batch   1046, Loss  0.865088, Average Loss  0.869852, Time  0.267974
2021-09-16 11:00:21.776395 : Epoch  5, Batch   1086, Loss  0.891792, Average Loss  0.869054, Time  0.240343
2021-09-16 11:00:23.334121 : Epoch  7, Batch   1047, Loss  0.876905, Average Loss  0.869848, Time  0.265716
2021-09-16 11:00:24.366931 : Epoch  5, Batch   1087, Loss  0.864406, Average Loss  0.868917, Time  0.240074
2021-09-16 11:00:26.345147 : Epoch  7, Batch   1048, Loss  0.866014, Average Loss  0.869841, Time  0.266359
2021-09-16 11:00:26.946414 : Epoch  5, Batch   1088, Loss  0.869822, Average Loss  0.868896, Time  0.240188
2021-09-16 11:00:29.330850 : Epoch  7, Batch   1049, Loss  0.877432, Average Loss  0.869953, Time  0.265398
2021-09-16 11:00:29.544447 : Epoch  5, Batch   1089, Loss  0.867238, Average Loss  0.868963, Time  0.241036
2021-09-16 11:00:32.140129 : Epoch  5, Batch   1090, Loss  0.857795, Average Loss  0.868913, Time  0.241517
2021-09-16 11:00:32.321331 : Epoch  7, Batch   1050, Loss  0.843140, Average Loss  0.869827, Time  0.266072
2021-09-16 11:00:34.737834 : Epoch  5, Batch   1091, Loss  0.859270, Average Loss  0.868863, Time  0.243695
2021-09-16 11:00:35.313814 : Epoch  7, Batch   1051, Loss  0.844185, Average Loss  0.869741, Time  0.263362
2021-09-16 11:00:37.329068 : Epoch  5, Batch   1092, Loss  0.893786, Average Loss  0.869049, Time  0.240464
2021-09-16 11:00:38.289929 : Epoch  7, Batch   1052, Loss  0.879799, Average Loss  0.869741, Time  0.266052
2021-09-16 11:00:39.918733 : Epoch  5, Batch   1093, Loss  0.855772, Average Loss  0.868973, Time  0.244200
2021-09-16 11:00:41.291874 : Epoch  7, Batch   1053, Loss  0.890011, Average Loss  0.869865, Time  0.265833
2021-09-16 11:00:42.496848 : Epoch  5, Batch   1094, Loss  0.859354, Average Loss  0.868831, Time  0.240161
2021-09-16 11:00:44.305360 : Epoch  7, Batch   1054, Loss  0.883636, Average Loss  0.870005, Time  0.265861
2021-09-16 11:00:45.088666 : Epoch  5, Batch   1095, Loss  0.872755, Average Loss  0.868851, Time  0.240927
2021-09-16 11:00:47.314684 : Epoch  7, Batch   1055, Loss  0.853640, Average Loss  0.869937, Time  0.266894
2021-09-16 11:00:47.694442 : Epoch  5, Batch   1096, Loss  0.850883, Average Loss  0.868799, Time  0.241716
2021-09-16 11:00:50.277444 : Epoch  5, Batch   1097, Loss  0.889831, Average Loss  0.868992, Time  0.240378
2021-09-16 11:00:50.330230 : Epoch  7, Batch   1056, Loss  0.871103, Average Loss  0.869875, Time  0.265346
2021-09-16 11:00:52.873857 : Epoch  5, Batch   1098, Loss  0.859542, Average Loss  0.868800, Time  0.241029
2021-09-16 11:00:53.332322 : Epoch  7, Batch   1057, Loss  0.869382, Average Loss  0.869777, Time  0.265431
2021-09-16 11:00:55.471705 : Epoch  5, Batch   1099, Loss  0.858982, Average Loss  0.868749, Time  0.240094
2021-09-16 11:00:56.301790 : Epoch  7, Batch   1058, Loss  0.870309, Average Loss  0.869904, Time  0.265173
2021-09-16 11:00:58.061131 : Epoch  5, Batch   1100, Loss  0.869011, Average Loss  0.868741, Time  0.242058
2021-09-16 11:00:59.313027 : Epoch  7, Batch   1059, Loss  0.870241, Average Loss  0.869855, Time  0.268307
2021-09-16 11:01:00.656855 : Epoch  5, Batch   1101, Loss  0.893381, Average Loss  0.868802, Time  0.241210
2021-09-16 11:01:02.333054 : Epoch  7, Batch   1060, Loss  0.864580, Average Loss  0.869833, Time  0.278720
2021-09-16 11:01:03.244347 : Epoch  5, Batch   1102, Loss  0.877797, Average Loss  0.868803, Time  0.240159
2021-09-16 11:01:05.326783 : Epoch  7, Batch   1061, Loss  0.863144, Average Loss  0.869711, Time  0.267694
2021-09-16 11:01:05.835660 : Epoch  5, Batch   1103, Loss  0.861481, Average Loss  0.868719, Time  0.240001
2021-09-16 11:01:08.332645 : Epoch  7, Batch   1062, Loss  0.855733, Average Loss  0.869711, Time  0.265944
2021-09-16 11:01:08.412745 : Epoch  5, Batch   1104, Loss  0.847412, Average Loss  0.868594, Time  0.240706
2021-09-16 11:01:11.006338 : Epoch  5, Batch   1105, Loss  0.888222, Average Loss  0.868643, Time  0.245986
2021-09-16 11:01:11.337151 : Epoch  7, Batch   1063, Loss  0.884128, Average Loss  0.869953, Time  0.265687
2021-09-16 11:01:13.601172 : Epoch  5, Batch   1106, Loss  0.866205, Average Loss  0.868661, Time  0.241154
2021-09-16 11:01:14.297882 : Epoch  7, Batch   1064, Loss  0.865215, Average Loss  0.869896, Time  0.265870
2021-09-16 11:01:16.190851 : Epoch  5, Batch   1107, Loss  0.854135, Average Loss  0.868553, Time  0.240701
2021-09-16 11:01:18.779391 : Epoch  5, Batch   1108, Loss  0.850781, Average Loss  0.868480, Time  0.241072
2021-09-16 11:01:21.385073 : Epoch  5, Batch   1109, Loss  0.869911, Average Loss  0.868520, Time  0.244079
2021-09-16 11:01:23.975688 : Epoch  5, Batch   1110, Loss  0.882766, Average Loss  0.868610, Time  0.240286
2021-09-16 11:01:26.569897 : Epoch  5, Batch   1111, Loss  0.859725, Average Loss  0.868549, Time  0.241383
2021-09-16 11:01:29.159820 : Epoch  5, Batch   1112, Loss  0.863792, Average Loss  0.868499, Time  0.240079
2021-09-16 11:01:31.738642 : Epoch  5, Batch   1113, Loss  0.868247, Average Loss  0.868527, Time  0.240065
2021-09-16 11:01:34.324941 : Epoch  5, Batch   1114, Loss  0.865933, Average Loss  0.868422, Time  0.241900
2021-09-16 11:01:36.914821 : Epoch  5, Batch   1115, Loss  0.855380, Average Loss  0.868313, Time  0.240656
2021-09-16 11:01:39.510883 : Epoch  5, Batch   1116, Loss  0.880297, Average Loss  0.868431, Time  0.241220
2021-09-16 11:01:42.105992 : Epoch  5, Batch   1117, Loss  0.867884, Average Loss  0.868485, Time  0.240248
2021-09-16 11:01:44.688545 : Epoch  5, Batch   1118, Loss  0.870356, Average Loss  0.868505, Time  0.240093
2021-09-16 11:01:47.279031 : Epoch  5, Batch   1119, Loss  0.891331, Average Loss  0.868686, Time  0.241176
2021-09-16 11:01:49.874739 : Epoch  5, Batch   1120, Loss  0.885309, Average Loss  0.868828, Time  0.240270
2021-09-16 11:01:52.457383 : Epoch  5, Batch   1121, Loss  0.867975, Average Loss  0.868847, Time  0.240357
2021-09-16 11:01:55.042395 : Epoch  5, Batch   1122, Loss  0.877986, Average Loss  0.868838, Time  0.240744
2021-09-16 11:01:57.635750 : Epoch  5, Batch   1123, Loss  0.869852, Average Loss  0.868787, Time  0.240310
2021-09-16 11:02:00.223313 : Epoch  5, Batch   1124, Loss  0.861819, Average Loss  0.868734, Time  0.240745
2021-09-16 11:02:02.804086 : Epoch  5, Batch   1125, Loss  0.844928, Average Loss  0.868700, Time  0.241315
2021-09-16 11:02:05.412266 : Epoch  5, Batch   1126, Loss  0.895777, Average Loss  0.868799, Time  0.240023
2021-09-16 11:02:07.992636 : Epoch  5, Batch   1127, Loss  0.868310, Average Loss  0.868859, Time  0.242097
2021-09-16 11:02:10.605451 : Epoch  5, Batch   1128, Loss  0.865925, Average Loss  0.868849, Time  0.240796
2021-09-16 11:02:13.186034 : Epoch  5, Batch   1129, Loss  0.871908, Average Loss  0.868921, Time  0.240804
2021-09-16 11:02:15.789395 : Epoch  5, Batch   1130, Loss  0.853984, Average Loss  0.868996, Time  0.239895
2021-09-16 11:02:18.377959 : Epoch  5, Batch   1131, Loss  0.864720, Average Loss  0.868994, Time  0.241770
2021-09-16 11:02:20.974736 : Epoch  5, Batch   1132, Loss  0.881922, Average Loss  0.869039, Time  0.240333
2021-09-16 11:02:23.559089 : Epoch  5, Batch   1133, Loss  0.872378, Average Loss  0.869087, Time  0.240673
2021-09-16 11:02:26.149401 : Epoch  5, Batch   1134, Loss  0.855401, Average Loss  0.868992, Time  0.240960
2021-09-16 11:02:28.763747 : Epoch  5, Batch   1135, Loss  0.841554, Average Loss  0.868882, Time  0.240290
2021-09-16 11:02:31.363416 : Epoch  5, Batch   1136, Loss  0.880264, Average Loss  0.868877, Time  0.241160
2021-09-16 11:02:33.957158 : Epoch  5, Batch   1137, Loss  0.902563, Average Loss  0.868939, Time  0.241431
2021-09-16 11:02:36.540720 : Epoch  5, Batch   1138, Loss  0.874470, Average Loss  0.868994, Time  0.240265
2021-09-16 11:02:39.138158 : Epoch  5, Batch   1139, Loss  0.870581, Average Loss  0.869007, Time  0.241384
2021-09-16 11:02:41.864140 : Epoch  5, Batch   1140, Loss  0.869335, Average Loss  0.869091, Time  0.240144
2021-09-16 11:02:44.454921 : Epoch  5, Batch   1141, Loss  0.852727, Average Loss  0.869037, Time  0.240517
2021-09-16 11:02:47.042420 : Epoch  5, Batch   1142, Loss  0.853066, Average Loss  0.868854, Time  0.240038
2021-09-16 11:02:49.636304 : Epoch  5, Batch   1143, Loss  0.865416, Average Loss  0.868709, Time  0.240284
2021-09-16 11:02:52.228192 : Epoch  5, Batch   1144, Loss  0.855864, Average Loss  0.868702, Time  0.240030
2021-09-16 11:02:54.814399 : Epoch  5, Batch   1145, Loss  0.870515, Average Loss  0.868719, Time  0.239837
2021-09-16 11:02:57.405117 : Epoch  5, Batch   1146, Loss  0.864634, Average Loss  0.868631, Time  0.240079
2021-09-16 11:03:00.001404 : Epoch  5, Batch   1147, Loss  0.854765, Average Loss  0.868612, Time  0.239709
2021-09-16 11:03:02.590459 : Epoch  5, Batch   1148, Loss  0.864350, Average Loss  0.868597, Time  0.240143
2021-09-16 11:03:05.185336 : Epoch  5, Batch   1149, Loss  0.887561, Average Loss  0.868752, Time  0.240074
2021-09-16 11:03:07.772408 : Epoch  5, Batch   1150, Loss  0.872612, Average Loss  0.868781, Time  0.240268
2021-09-16 11:03:10.363673 : Epoch  5, Batch   1151, Loss  0.860977, Average Loss  0.868731, Time  0.240728
2021-09-16 11:03:12.945024 : Epoch  5, Batch   1152, Loss  0.868504, Average Loss  0.868793, Time  0.240280
2021-09-16 11:03:15.544694 : Epoch  5, Batch   1153, Loss  0.870690, Average Loss  0.868844, Time  0.239909
2021-09-16 11:03:18.128341 : Epoch  5, Batch   1154, Loss  0.875025, Average Loss  0.868922, Time  0.240200
2021-09-16 11:03:20.726517 : Epoch  5, Batch   1155, Loss  0.862888, Average Loss  0.868844, Time  0.240144
2021-09-16 11:03:23.317430 : Epoch  5, Batch   1156, Loss  0.869706, Average Loss  0.868877, Time  0.239810
2021-09-16 11:03:25.911403 : Epoch  5, Batch   1157, Loss  0.871070, Average Loss  0.868800, Time  0.239932
2021-09-16 11:03:28.501188 : Epoch  5, Batch   1158, Loss  0.877905, Average Loss  0.868806, Time  0.240597
2021-09-16 11:03:31.097914 : Epoch  5, Batch   1159, Loss  0.862814, Average Loss  0.868692, Time  0.241035
2021-09-16 11:03:33.690868 : Epoch  5, Batch   1160, Loss  0.865772, Average Loss  0.868644, Time  0.241826
2021-09-16 11:03:36.273761 : Epoch  5, Batch   1161, Loss  0.876499, Average Loss  0.868722, Time  0.239692
2021-09-16 11:03:38.865360 : Epoch  5, Batch   1162, Loss  0.874193, Average Loss  0.868751, Time  0.240773
2021-09-16 11:03:41.476309 : Epoch  5, Batch   1163, Loss  0.878374, Average Loss  0.868795, Time  0.246326
2021-09-16 11:03:44.061087 : Epoch  5, Batch   1164, Loss  0.855849, Average Loss  0.868714, Time  0.241352
2021-09-16 11:03:46.661155 : Epoch  5, Batch   1165, Loss  0.854017, Average Loss  0.868662, Time  0.240262
2021-09-16 11:03:49.255730 : Epoch  5, Batch   1166, Loss  0.877671, Average Loss  0.868779, Time  0.240515
2021-09-16 11:03:51.843900 : Epoch  5, Batch   1167, Loss  0.876516, Average Loss  0.868868, Time  0.241903
2021-09-16 11:03:54.429195 : Epoch  5, Batch   1168, Loss  0.875514, Average Loss  0.868920, Time  0.240229
2021-09-16 11:03:57.028332 : Epoch  5, Batch   1169, Loss  0.853292, Average Loss  0.868813, Time  0.240466
2021-09-16 11:03:59.613201 : Epoch  5, Batch   1170, Loss  0.883707, Average Loss  0.868752, Time  0.240031
2021-09-16 11:04:02.198268 : Epoch  5, Batch   1171, Loss  0.880913, Average Loss  0.868800, Time  0.240060
2021-09-16 11:04:04.780393 : Epoch  5, Batch   1172, Loss  0.867805, Average Loss  0.868915, Time  0.239918
2021-09-16 11:04:07.369262 : Epoch  5, Batch   1173, Loss  0.863760, Average Loss  0.868864, Time  0.240029
2021-09-16 11:04:09.956406 : Epoch  5, Batch   1174, Loss  0.877479, Average Loss  0.868959, Time  0.240871
2021-09-16 11:04:12.537229 : Epoch  5, Batch   1175, Loss  0.863906, Average Loss  0.868898, Time  0.241271
2021-09-16 11:04:15.146410 : Epoch  5, Batch   1176, Loss  0.867137, Average Loss  0.868903, Time  0.240303
2021-09-16 11:05:55.112723 : CheckPoint: Validation Loss  0.00031405, Best Loss  0.00029295
2021-09-16 11:05:58.133163 : Epoch  7, Batch   1065, Loss  0.869560, Average Loss  0.869903, Time  0.266821
2021-09-16 11:06:01.110003 : Epoch  7, Batch   1066, Loss  0.871606, Average Loss  0.869991, Time  0.265982
2021-09-16 11:06:04.184703 : Epoch  7, Batch   1067, Loss  0.864886, Average Loss  0.869903, Time  0.265191
2021-09-16 11:06:07.200042 : Epoch  7, Batch   1068, Loss  0.877928, Average Loss  0.869894, Time  0.266129
2021-09-16 11:06:10.184052 : Epoch  7, Batch   1069, Loss  0.879455, Average Loss  0.869982, Time  0.266163
2021-09-16 11:06:13.192056 : Epoch  7, Batch   1070, Loss  0.853582, Average Loss  0.869886, Time  0.266748
2021-09-16 11:06:16.184451 : Epoch  7, Batch   1071, Loss  0.854556, Average Loss  0.869830, Time  0.266033
2021-09-16 11:06:19.184891 : Epoch  7, Batch   1072, Loss  0.825634, Average Loss  0.869623, Time  0.265707
2021-09-16 11:06:22.209072 : Epoch  7, Batch   1073, Loss  0.870406, Average Loss  0.869588, Time  0.277158
2021-09-16 11:06:25.205070 : Epoch  7, Batch   1074, Loss  0.875030, Average Loss  0.869538, Time  0.266638
2021-09-16 11:06:28.243218 : Epoch  7, Batch   1075, Loss  0.875067, Average Loss  0.869670, Time  0.266016
2021-09-16 11:06:31.265513 : Epoch  7, Batch   1076, Loss  0.881300, Average Loss  0.869776, Time  0.265942
2021-09-16 11:06:34.253912 : Epoch  7, Batch   1077, Loss  0.875682, Average Loss  0.869796, Time  0.265670
2021-09-16 11:06:37.240660 : Epoch  7, Batch   1078, Loss  0.879116, Average Loss  0.869817, Time  0.266082
2021-09-16 11:06:40.228522 : Epoch  7, Batch   1079, Loss  0.866562, Average Loss  0.869796, Time  0.265915
2021-09-16 11:06:43.266151 : Epoch  7, Batch   1080, Loss  0.853267, Average Loss  0.869702, Time  0.266730
2021-09-16 11:06:46.276853 : Epoch  7, Batch   1081, Loss  0.905763, Average Loss  0.869879, Time  0.265061
2021-09-16 11:06:49.261287 : Epoch  7, Batch   1082, Loss  0.884703, Average Loss  0.869975, Time  0.264922
2021-09-16 11:06:52.251811 : Epoch  7, Batch   1083, Loss  0.876543, Average Loss  0.870078, Time  0.265900
2021-09-16 11:06:55.236260 : Epoch  7, Batch   1084, Loss  0.868972, Average Loss  0.869985, Time  0.265748
2021-09-16 11:06:58.248818 : Epoch  7, Batch   1085, Loss  0.871145, Average Loss  0.870161, Time  0.265076
2021-09-16 11:07:01.232392 : Epoch  7, Batch   1086, Loss  0.883729, Average Loss  0.870177, Time  0.265240
2021-09-16 11:07:04.211655 : Epoch  7, Batch   1087, Loss  0.879902, Average Loss  0.870124, Time  0.264281
2021-09-16 11:07:07.195767 : Epoch  7, Batch   1088, Loss  0.886918, Average Loss  0.870265, Time  0.275627
2021-09-16 11:07:10.175756 : Epoch  7, Batch   1089, Loss  0.888906, Average Loss  0.870409, Time  0.265915
2021-09-16 11:07:13.163196 : Epoch  7, Batch   1090, Loss  0.866774, Average Loss  0.870354, Time  0.265105
2021-09-16 11:07:16.142447 : Epoch  7, Batch   1091, Loss  0.848843, Average Loss  0.870290, Time  0.264805
2021-09-16 11:07:19.163784 : Epoch  7, Batch   1092, Loss  0.869845, Average Loss  0.870214, Time  0.266463
2021-09-16 11:07:22.236155 : Epoch  7, Batch   1093, Loss  0.875165, Average Loss  0.870294, Time  0.265029
2021-09-16 11:07:25.221474 : Epoch  7, Batch   1094, Loss  0.869572, Average Loss  0.870267, Time  0.265834
2021-09-16 11:07:28.216034 : Epoch  7, Batch   1095, Loss  0.849973, Average Loss  0.870226, Time  0.265767
2021-09-16 11:07:31.206773 : Epoch  7, Batch   1096, Loss  0.865019, Average Loss  0.870300, Time  0.265241
2021-09-16 11:07:34.190397 : Epoch  7, Batch   1097, Loss  0.865877, Average Loss  0.870227, Time  0.265780
2021-09-16 11:07:37.162086 : Epoch  7, Batch   1098, Loss  0.862962, Average Loss  0.870090, Time  0.265690
2021-09-16 11:07:40.158905 : Epoch  7, Batch   1099, Loss  0.846280, Average Loss  0.869954, Time  0.264476
2021-09-16 11:07:43.140710 : Epoch  7, Batch   1100, Loss  0.877675, Average Loss  0.870031, Time  0.265802
2021-09-16 11:07:46.119332 : Epoch  7, Batch   1101, Loss  0.860486, Average Loss  0.869936, Time  0.264587
2021-09-16 11:07:49.094836 : Epoch  7, Batch   1102, Loss  0.851577, Average Loss  0.869758, Time  0.264899
2021-09-16 11:07:52.078671 : Epoch  7, Batch   1103, Loss  0.861237, Average Loss  0.869673, Time  0.276804
2021-09-16 11:07:55.101237 : Epoch  7, Batch   1104, Loss  0.866451, Average Loss  0.869696, Time  0.266334
2021-09-16 11:07:58.083673 : Epoch  7, Batch   1105, Loss  0.868459, Average Loss  0.869677, Time  0.266517
2021-09-16 11:08:01.063053 : Epoch  7, Batch   1106, Loss  0.887876, Average Loss  0.869856, Time  0.265091
2021-09-16 11:08:04.066018 : Epoch  7, Batch   1107, Loss  0.881732, Average Loss  0.869906, Time  0.265165
2021-09-16 11:08:07.042071 : Epoch  7, Batch   1108, Loss  0.867311, Average Loss  0.869949, Time  0.265456
2021-09-16 11:08:10.028841 : Epoch  7, Batch   1109, Loss  0.880690, Average Loss  0.869882, Time  0.264530
2021-09-16 11:08:13.025285 : Epoch  7, Batch   1110, Loss  0.867255, Average Loss  0.869905, Time  0.265445
2021-09-16 11:08:16.026708 : Epoch  7, Batch   1111, Loss  0.887416, Average Loss  0.870013, Time  0.265821
2021-09-16 11:08:18.993501 : Epoch  7, Batch   1112, Loss  0.870014, Average Loss  0.870059, Time  0.264444
2021-09-16 11:08:19.287241 : CheckPoint: Validation Loss  0.00030485, Best Loss  0.00029226
2021-09-16 11:08:21.870023 : Epoch  5, Batch   1177, Loss  0.872395, Average Loss  0.868877, Time  0.241346
2021-09-16 11:08:21.966035 : Epoch  7, Batch   1113, Loss  0.871587, Average Loss  0.869964, Time  0.266183
2021-09-16 11:08:24.460663 : Epoch  5, Batch   1178, Loss  0.884507, Average Loss  0.868971, Time  0.239881
2021-09-16 11:08:24.974715 : Epoch  7, Batch   1114, Loss  0.877420, Average Loss  0.870021, Time  0.265460
2021-09-16 11:08:27.060713 : Epoch  5, Batch   1179, Loss  0.875883, Average Loss  0.868970, Time  0.239928
2021-09-16 11:08:27.963022 : Epoch  7, Batch   1115, Loss  0.838242, Average Loss  0.869760, Time  0.264859
2021-09-16 11:08:29.657555 : Epoch  5, Batch   1180, Loss  0.858612, Average Loss  0.868908, Time  0.240233
2021-09-16 11:08:30.925137 : Epoch  7, Batch   1116, Loss  0.877280, Average Loss  0.869831, Time  0.265394
2021-09-16 11:08:32.258170 : Epoch  5, Batch   1181, Loss  0.865274, Average Loss  0.868890, Time  0.242424
2021-09-16 11:08:33.901380 : Epoch  7, Batch   1117, Loss  0.880673, Average Loss  0.869881, Time  0.264854
2021-09-16 11:08:34.843839 : Epoch  5, Batch   1182, Loss  0.871865, Average Loss  0.868865, Time  0.241654
2021-09-16 11:08:36.897366 : Epoch  7, Batch   1118, Loss  0.872922, Average Loss  0.869932, Time  0.278658
2021-09-16 11:08:37.430217 : Epoch  5, Batch   1183, Loss  0.866575, Average Loss  0.868884, Time  0.240768
2021-09-16 11:08:39.902842 : Epoch  7, Batch   1119, Loss  0.871273, Average Loss  0.869882, Time  0.265786
2021-09-16 11:08:40.022121 : Epoch  5, Batch   1184, Loss  0.864739, Average Loss  0.868892, Time  0.240410
2021-09-16 11:08:42.597695 : Epoch  5, Batch   1185, Loss  0.884925, Average Loss  0.868908, Time  0.240300
2021-09-16 11:08:42.881809 : Epoch  7, Batch   1120, Loss  0.879219, Average Loss  0.869762, Time  0.265292
2021-09-16 11:08:45.194283 : Epoch  5, Batch   1186, Loss  0.857065, Average Loss  0.868899, Time  0.240487
2021-09-16 11:08:45.836939 : Epoch  7, Batch   1121, Loss  0.873778, Average Loss  0.869782, Time  0.264562
2021-09-16 11:08:47.800651 : Epoch  5, Batch   1187, Loss  0.869639, Average Loss  0.868937, Time  0.243323
2021-09-16 11:08:48.819452 : Epoch  7, Batch   1122, Loss  0.857376, Average Loss  0.869702, Time  0.265122
2021-09-16 11:08:50.404142 : Epoch  5, Batch   1188, Loss  0.831359, Average Loss  0.868755, Time  0.240063
2021-09-16 11:08:51.787798 : Epoch  7, Batch   1123, Loss  0.875989, Average Loss  0.869685, Time  0.266165
2021-09-16 11:08:52.993681 : Epoch  5, Batch   1189, Loss  0.874027, Average Loss  0.868821, Time  0.240510
2021-09-16 11:08:54.799896 : Epoch  7, Batch   1124, Loss  0.864237, Average Loss  0.869680, Time  0.264867
2021-09-16 11:08:55.595588 : Epoch  5, Batch   1190, Loss  0.885915, Average Loss  0.868981, Time  0.240067
2021-09-16 11:08:57.794743 : Epoch  7, Batch   1125, Loss  0.854896, Average Loss  0.869649, Time  0.265799
2021-09-16 11:08:58.185979 : Epoch  5, Batch   1191, Loss  0.871005, Average Loss  0.869011, Time  0.239660
2021-09-16 11:09:00.767934 : Epoch  5, Batch   1192, Loss  0.867901, Average Loss  0.868982, Time  0.241001
2021-09-16 11:09:00.788495 : Epoch  7, Batch   1126, Loss  0.882083, Average Loss  0.869658, Time  0.265297
2021-09-16 11:09:03.363793 : Epoch  5, Batch   1193, Loss  0.890804, Average Loss  0.869036, Time  0.243028
2021-09-16 11:09:03.778244 : Epoch  7, Batch   1127, Loss  0.875695, Average Loss  0.869719, Time  0.265101
2021-09-16 11:09:05.952334 : Epoch  5, Batch   1194, Loss  0.860799, Average Loss  0.869006, Time  0.240366
2021-09-16 11:09:06.757497 : Epoch  7, Batch   1128, Loss  0.890655, Average Loss  0.869903, Time  0.264134
2021-09-16 11:09:08.543232 : Epoch  5, Batch   1195, Loss  0.855342, Average Loss  0.869042, Time  0.241699
2021-09-16 11:09:09.744569 : Epoch  7, Batch   1129, Loss  0.863605, Average Loss  0.869991, Time  0.265468
2021-09-16 11:09:11.148150 : Epoch  5, Batch   1196, Loss  0.874318, Average Loss  0.869039, Time  0.242141
2021-09-16 11:09:12.782901 : Epoch  7, Batch   1130, Loss  0.865845, Average Loss  0.869955, Time  0.265591
2021-09-16 11:09:13.750072 : Epoch  5, Batch   1197, Loss  0.849463, Average Loss  0.868922, Time  0.241218
2021-09-16 11:09:15.785912 : Epoch  7, Batch   1131, Loss  0.873185, Average Loss  0.869901, Time  0.265117
2021-09-16 11:09:16.339810 : Epoch  5, Batch   1198, Loss  0.860074, Average Loss  0.868881, Time  0.241562
2021-09-16 11:09:18.790761 : Epoch  7, Batch   1132, Loss  0.870421, Average Loss  0.869934, Time  0.265029
2021-09-16 11:09:18.957962 : Epoch  5, Batch   1199, Loss  0.866081, Average Loss  0.868844, Time  0.240128
2021-09-16 11:09:21.552126 : Epoch  5, Batch   1200, Loss  0.872567, Average Loss  0.868915, Time  0.241185
2021-09-16 11:09:21.829096 : Epoch  7, Batch   1133, Loss  0.871650, Average Loss  0.869872, Time  0.279127
2021-09-16 11:09:24.149902 : Epoch  5, Batch   1201, Loss  0.849654, Average Loss  0.868842, Time  0.241364
2021-09-16 11:09:24.792981 : Epoch  7, Batch   1134, Loss  0.887117, Average Loss  0.869934, Time  0.265488
2021-09-16 11:09:26.760792 : Epoch  5, Batch   1202, Loss  0.883452, Average Loss  0.869010, Time  0.241352
2021-09-16 11:09:27.778563 : Epoch  7, Batch   1135, Loss  0.881985, Average Loss  0.870015, Time  0.265121
2021-09-16 11:09:29.355393 : Epoch  5, Batch   1203, Loss  0.878166, Average Loss  0.869111, Time  0.240259
2021-09-16 11:09:30.760033 : Epoch  7, Batch   1136, Loss  0.876116, Average Loss  0.870059, Time  0.264719
2021-09-16 11:09:31.949024 : Epoch  5, Batch   1204, Loss  0.879778, Average Loss  0.869228, Time  0.239969
2021-09-16 11:09:33.779328 : Epoch  7, Batch   1137, Loss  0.878024, Average Loss  0.870131, Time  0.264387
2021-09-16 11:09:34.554351 : Epoch  5, Batch   1205, Loss  0.859749, Average Loss  0.869138, Time  0.240084
2021-09-16 11:09:36.769012 : Epoch  7, Batch   1138, Loss  0.877148, Average Loss  0.870215, Time  0.264884
2021-09-16 11:09:37.148706 : Epoch  5, Batch   1206, Loss  0.882878, Average Loss  0.869091, Time  0.240045
2021-09-16 11:09:39.750175 : Epoch  5, Batch   1207, Loss  0.896664, Average Loss  0.869241, Time  0.240062
2021-09-16 11:09:39.755915 : Epoch  7, Batch   1139, Loss  0.884047, Average Loss  0.870359, Time  0.265626
2021-09-16 11:09:42.341101 : Epoch  5, Batch   1208, Loss  0.861456, Average Loss  0.869148, Time  0.240063
2021-09-16 11:09:42.751980 : Epoch  7, Batch   1140, Loss  0.865694, Average Loss  0.870283, Time  0.266094
2021-09-16 11:09:44.937388 : Epoch  5, Batch   1209, Loss  0.887736, Average Loss  0.869268, Time  0.240773
2021-09-16 11:09:45.763050 : Epoch  7, Batch   1141, Loss  0.887800, Average Loss  0.870273, Time  0.266312
2021-09-16 11:09:47.518040 : Epoch  5, Batch   1210, Loss  0.885083, Average Loss  0.869234, Time  0.240532
2021-09-16 11:09:48.743596 : Epoch  7, Batch   1142, Loss  0.867375, Average Loss  0.870266, Time  0.265471
2021-09-16 11:09:50.104427 : Epoch  5, Batch   1211, Loss  0.876926, Average Loss  0.869256, Time  0.240981
2021-09-16 11:09:51.758687 : Epoch  7, Batch   1143, Loss  0.876931, Average Loss  0.870309, Time  0.264854
2021-09-16 11:09:52.691014 : Epoch  5, Batch   1212, Loss  0.881598, Average Loss  0.869384, Time  0.240373
2021-09-16 11:09:54.761300 : Epoch  7, Batch   1144, Loss  0.869977, Average Loss  0.870196, Time  0.264647
2021-09-16 11:09:55.284443 : Epoch  5, Batch   1213, Loss  0.856233, Average Loss  0.869218, Time  0.241812
2021-09-16 11:09:57.765745 : Epoch  7, Batch   1145, Loss  0.868744, Average Loss  0.869997, Time  0.265148
2021-09-16 11:09:57.860221 : Epoch  5, Batch   1214, Loss  0.854427, Average Loss  0.869185, Time  0.241720
2021-09-16 11:10:00.440461 : Epoch  5, Batch   1215, Loss  0.870428, Average Loss  0.869116, Time  0.239873
2021-09-16 11:10:00.762310 : Epoch  7, Batch   1146, Loss  0.881866, Average Loss  0.869985, Time  0.265265
2021-09-16 11:10:03.028885 : Epoch  5, Batch   1216, Loss  0.876709, Average Loss  0.869139, Time  0.239872
2021-09-16 11:10:03.731913 : Epoch  7, Batch   1147, Loss  0.866689, Average Loss  0.869963, Time  0.264744
2021-09-16 11:10:05.624082 : Epoch  5, Batch   1217, Loss  0.862502, Average Loss  0.869067, Time  0.240862
2021-09-16 11:10:06.708959 : Epoch  7, Batch   1148, Loss  0.856473, Average Loss  0.869924, Time  0.273280
2021-09-16 11:10:08.221945 : Epoch  5, Batch   1218, Loss  0.879617, Average Loss  0.869194, Time  0.241663
2021-09-16 11:10:09.681310 : Epoch  7, Batch   1149, Loss  0.859643, Average Loss  0.869915, Time  0.265035
2021-09-16 11:10:10.814490 : Epoch  5, Batch   1219, Loss  0.879284, Average Loss  0.869257, Time  0.240006
2021-09-16 11:10:12.666984 : Epoch  7, Batch   1150, Loss  0.858298, Average Loss  0.869850, Time  0.265373
2021-09-16 11:10:13.406801 : Epoch  5, Batch   1220, Loss  0.876167, Average Loss  0.869224, Time  0.240928
2021-09-16 11:10:15.641497 : Epoch  7, Batch   1151, Loss  0.866995, Average Loss  0.869834, Time  0.264990
2021-09-16 11:10:16.004571 : Epoch  5, Batch   1221, Loss  0.868271, Average Loss  0.869185, Time  0.243239
2021-09-16 11:10:18.578403 : Epoch  5, Batch   1222, Loss  0.868795, Average Loss  0.869214, Time  0.239858
2021-09-16 11:10:18.620879 : Epoch  7, Batch   1152, Loss  0.846699, Average Loss  0.869623, Time  0.267474
2021-09-16 11:10:21.174360 : Epoch  5, Batch   1223, Loss  0.850584, Average Loss  0.869180, Time  0.240294
2021-09-16 11:10:21.636255 : Epoch  7, Batch   1153, Loss  0.887234, Average Loss  0.869728, Time  0.264954
2021-09-16 11:10:23.779313 : Epoch  5, Batch   1224, Loss  0.882769, Average Loss  0.869251, Time  0.239933
2021-09-16 11:10:24.622845 : Epoch  7, Batch   1154, Loss  0.889445, Average Loss  0.869966, Time  0.265335
2021-09-16 11:10:26.381870 : Epoch  5, Batch   1225, Loss  0.870820, Average Loss  0.869247, Time  0.241559
2021-09-16 11:10:27.588928 : Epoch  7, Batch   1155, Loss  0.898602, Average Loss  0.870063, Time  0.264582
2021-09-16 11:10:28.971643 : Epoch  5, Batch   1226, Loss  0.899062, Average Loss  0.869380, Time  0.240017
2021-09-16 11:10:30.599037 : Epoch  7, Batch   1156, Loss  0.868639, Average Loss  0.870005, Time  0.264523
2021-09-16 11:10:31.559483 : Epoch  5, Batch   1227, Loss  0.868947, Average Loss  0.869454, Time  0.241569
2021-09-16 11:10:33.572851 : Epoch  7, Batch   1157, Loss  0.857075, Average Loss  0.869949, Time  0.265960
2021-09-16 11:10:34.189223 : Epoch  5, Batch   1228, Loss  0.868247, Average Loss  0.869544, Time  0.241111
2021-09-16 11:10:36.574168 : Epoch  7, Batch   1158, Loss  0.872143, Average Loss  0.870006, Time  0.265522
2021-09-16 11:10:36.786255 : Epoch  5, Batch   1229, Loss  0.866117, Average Loss  0.869302, Time  0.240532
2021-09-16 11:10:39.354107 : Epoch  5, Batch   1230, Loss  0.862479, Average Loss  0.869281, Time  0.240242
2021-09-16 11:10:39.582811 : Epoch  7, Batch   1159, Loss  0.868209, Average Loss  0.870094, Time  0.268462
2021-09-16 11:10:41.968274 : Epoch  5, Batch   1231, Loss  0.856307, Average Loss  0.869218, Time  0.240736
2021-09-16 11:10:42.553537 : Epoch  7, Batch   1160, Loss  0.891416, Average Loss  0.870208, Time  0.264606
2021-09-16 11:10:44.556872 : Epoch  5, Batch   1232, Loss  0.854883, Average Loss  0.869028, Time  0.240970
2021-09-16 11:10:45.517483 : Epoch  7, Batch   1161, Loss  0.893982, Average Loss  0.870366, Time  0.265286
2021-09-16 11:10:47.153807 : Epoch  5, Batch   1233, Loss  0.862884, Average Loss  0.869015, Time  0.241763
2021-09-16 11:10:48.503730 : Epoch  7, Batch   1162, Loss  0.853612, Average Loss  0.870271, Time  0.265322
2021-09-16 11:10:49.740106 : Epoch  5, Batch   1234, Loss  0.889431, Average Loss  0.869155, Time  0.240233
2021-09-16 11:10:51.474833 : Epoch  7, Batch   1163, Loss  0.867176, Average Loss  0.870216, Time  0.265020
2021-09-16 11:10:52.319922 : Epoch  5, Batch   1235, Loss  0.855490, Average Loss  0.869007, Time  0.240407
2021-09-16 11:10:54.489516 : Epoch  7, Batch   1164, Loss  0.869184, Average Loss  0.870128, Time  0.276424
2021-09-16 11:10:54.916122 : Epoch  5, Batch   1236, Loss  0.882255, Average Loss  0.868992, Time  0.239725
2021-09-16 11:10:57.513440 : Epoch  5, Batch   1237, Loss  0.867582, Average Loss  0.869035, Time  0.240073
2021-09-16 11:11:00.108104 : Epoch  5, Batch   1238, Loss  0.889682, Average Loss  0.869257, Time  0.241207
2021-09-16 11:11:02.739421 : Epoch  5, Batch   1239, Loss  0.883597, Average Loss  0.869346, Time  0.257549
2021-09-16 11:11:05.335248 : Epoch  5, Batch   1240, Loss  0.851577, Average Loss  0.869329, Time  0.240495
2021-09-16 11:11:07.931486 : Epoch  5, Batch   1241, Loss  0.867771, Average Loss  0.869400, Time  0.241872
2021-09-16 11:11:10.518545 : Epoch  5, Batch   1242, Loss  0.871793, Average Loss  0.869463, Time  0.240249
2021-09-16 11:11:13.108656 : Epoch  5, Batch   1243, Loss  0.901262, Average Loss  0.869645, Time  0.240104
2021-09-16 11:11:15.707131 : Epoch  5, Batch   1244, Loss  0.873295, Average Loss  0.869565, Time  0.241353
2021-09-16 11:11:18.309110 : Epoch  5, Batch   1245, Loss  0.878637, Average Loss  0.869457, Time  0.241220
2021-09-16 11:11:20.903772 : Epoch  5, Batch   1246, Loss  0.863644, Average Loss  0.869415, Time  0.240822
2021-09-16 11:11:23.516915 : Epoch  5, Batch   1247, Loss  0.864823, Average Loss  0.869352, Time  0.240828
2021-09-16 11:11:26.115221 : Epoch  5, Batch   1248, Loss  0.852554, Average Loss  0.869248, Time  0.240096
2021-09-16 11:11:28.727961 : Epoch  5, Batch   1249, Loss  0.882627, Average Loss  0.869342, Time  0.240839
2021-09-16 11:11:31.325244 : Epoch  5, Batch   1250, Loss  0.876215, Average Loss  0.869425, Time  0.239911
2021-09-16 11:11:33.908148 : Epoch  5, Batch   1251, Loss  0.858344, Average Loss  0.869448, Time  0.240028
2021-09-16 11:11:36.505190 : Epoch  5, Batch   1252, Loss  0.858695, Average Loss  0.869333, Time  0.240305
2021-09-16 11:11:39.102074 : Epoch  5, Batch   1253, Loss  0.864738, Average Loss  0.869364, Time  0.244779
2021-09-16 11:11:41.704804 : Epoch  5, Batch   1254, Loss  0.842416, Average Loss  0.869161, Time  0.242372
2021-09-16 11:11:44.294609 : Epoch  5, Batch   1255, Loss  0.862667, Average Loss  0.869116, Time  0.240705
2021-09-16 11:11:46.877813 : Epoch  5, Batch   1256, Loss  0.885570, Average Loss  0.869163, Time  0.239970
2021-09-16 11:11:49.459696 : Epoch  5, Batch   1257, Loss  0.852573, Average Loss  0.869287, Time  0.241476
2021-09-16 11:11:52.056246 : Epoch  5, Batch   1258, Loss  0.878790, Average Loss  0.869386, Time  0.241171
2021-09-16 11:11:54.646077 : Epoch  5, Batch   1259, Loss  0.855590, Average Loss  0.869359, Time  0.240730
2021-09-16 11:11:57.230384 : Epoch  5, Batch   1260, Loss  0.872488, Average Loss  0.869364, Time  0.240705
2021-09-16 11:11:59.814619 : Epoch  5, Batch   1261, Loss  0.863304, Average Loss  0.869272, Time  0.239710
2021-09-16 11:12:02.405808 : Epoch  5, Batch   1262, Loss  0.871485, Average Loss  0.869254, Time  0.242816
2021-09-16 11:12:04.993862 : Epoch  5, Batch   1263, Loss  0.889247, Average Loss  0.869338, Time  0.240583
2021-09-16 11:12:07.594184 : Epoch  5, Batch   1264, Loss  0.872408, Average Loss  0.869384, Time  0.241610
2021-09-16 11:12:10.196868 : Epoch  5, Batch   1265, Loss  0.852848, Average Loss  0.869232, Time  0.243152
2021-09-16 11:12:12.793243 : Epoch  5, Batch   1266, Loss  0.858980, Average Loss  0.869211, Time  0.239664
2021-09-16 11:12:15.381680 : Epoch  5, Batch   1267, Loss  0.860508, Average Loss  0.869218, Time  0.240698
2021-09-16 11:12:17.969082 : Epoch  5, Batch   1268, Loss  0.883010, Average Loss  0.869311, Time  0.241842
2021-09-16 11:12:20.553196 : Epoch  5, Batch   1269, Loss  0.843251, Average Loss  0.869186, Time  0.240294
2021-09-16 11:12:23.147192 : Epoch  5, Batch   1270, Loss  0.881059, Average Loss  0.869245, Time  0.241323
2021-09-16 11:12:25.747428 : Epoch  5, Batch   1271, Loss  0.892161, Average Loss  0.869355, Time  0.242894
2021-09-16 11:12:28.343174 : Epoch  5, Batch   1272, Loss  0.876201, Average Loss  0.869448, Time  0.240704
2021-09-16 11:12:30.928625 : Epoch  5, Batch   1273, Loss  0.865954, Average Loss  0.869351, Time  0.244843
2021-09-16 11:12:33.515998 : Epoch  5, Batch   1274, Loss  0.855618, Average Loss  0.869294, Time  0.241577
2021-09-16 11:12:36.122671 : Epoch  5, Batch   1275, Loss  0.862373, Average Loss  0.869317, Time  0.239842
2021-09-16 11:12:38.715883 : Epoch  5, Batch   1276, Loss  0.886720, Average Loss  0.869432, Time  0.241224
2021-09-16 11:15:34.341040 : CheckPoint: Validation Loss  0.00030287, Best Loss  0.00029295
2021-09-16 11:15:37.347731 : Epoch  7, Batch   1165, Loss  0.869092, Average Loss  0.870112, Time  0.285650
2021-09-16 11:15:40.315546 : Epoch  7, Batch   1166, Loss  0.870352, Average Loss  0.870063, Time  0.264386
2021-09-16 11:15:43.296487 : Epoch  7, Batch   1167, Loss  0.899165, Average Loss  0.870131, Time  0.265400
2021-09-16 11:15:46.273550 : Epoch  7, Batch   1168, Loss  0.867679, Average Loss  0.870227, Time  0.265129
2021-09-16 11:15:49.290775 : Epoch  7, Batch   1169, Loss  0.850600, Average Loss  0.870127, Time  0.265150
2021-09-16 11:15:52.261922 : Epoch  7, Batch   1170, Loss  0.878010, Average Loss  0.870186, Time  0.265420
2021-09-16 11:15:55.257836 : Epoch  7, Batch   1171, Loss  0.870782, Average Loss  0.870243, Time  0.264494
2021-09-16 11:15:58.223378 : Epoch  7, Batch   1172, Loss  0.859242, Average Loss  0.870126, Time  0.264400
2021-09-16 11:16:01.197776 : Epoch  7, Batch   1173, Loss  0.890685, Average Loss  0.870230, Time  0.265241
2021-09-16 11:16:04.139574 : Epoch  7, Batch   1174, Loss  0.864491, Average Loss  0.870178, Time  0.265822
2021-09-16 11:16:07.142158 : Epoch  7, Batch   1175, Loss  0.856503, Average Loss  0.870132, Time  0.267385
2021-09-16 11:16:10.175669 : Epoch  7, Batch   1176, Loss  0.873080, Average Loss  0.870101, Time  0.266561
2021-09-16 11:16:13.197780 : Epoch  7, Batch   1177, Loss  0.858551, Average Loss  0.870086, Time  0.265837
2021-09-16 11:16:16.230012 : Epoch  7, Batch   1178, Loss  0.862465, Average Loss  0.870044, Time  0.267613
2021-09-16 11:16:19.242139 : Epoch  7, Batch   1179, Loss  0.881418, Average Loss  0.870125, Time  0.266065
2021-09-16 11:16:22.244420 : Epoch  7, Batch   1180, Loss  0.839052, Average Loss  0.870001, Time  0.271138
2021-09-16 11:16:25.222486 : Epoch  7, Batch   1181, Loss  0.884556, Average Loss  0.870110, Time  0.264648
2021-09-16 11:16:28.214619 : Epoch  7, Batch   1182, Loss  0.881767, Average Loss  0.870189, Time  0.263617
2021-09-16 11:16:31.211482 : Epoch  7, Batch   1183, Loss  0.897190, Average Loss  0.870359, Time  0.265328
2021-09-16 11:16:34.228714 : Epoch  7, Batch   1184, Loss  0.882663, Average Loss  0.870416, Time  0.267221
2021-09-16 11:16:37.254325 : Epoch  7, Batch   1185, Loss  0.866564, Average Loss  0.870412, Time  0.265437
2021-09-16 11:16:40.278081 : Epoch  7, Batch   1186, Loss  0.855939, Average Loss  0.870299, Time  0.265477
2021-09-16 11:16:40.556831 : CheckPoint: Validation Loss  0.00029869, Best Loss  0.00029226
2021-09-16 11:16:43.167972 : Epoch  5, Batch   1277, Loss  0.881238, Average Loss  0.869467, Time  0.271878
2021-09-16 11:16:43.298614 : Epoch  7, Batch   1187, Loss  0.868980, Average Loss  0.870197, Time  0.265710
2021-09-16 11:16:45.778893 : Epoch  5, Batch   1278, Loss  0.867956, Average Loss  0.869440, Time  0.250970
2021-09-16 11:16:46.314519 : Epoch  7, Batch   1188, Loss  0.874645, Average Loss  0.870235, Time  0.265867
2021-09-16 11:16:48.378189 : Epoch  5, Batch   1279, Loss  0.881017, Average Loss  0.869550, Time  0.241688
2021-09-16 11:16:49.311099 : Epoch  7, Batch   1189, Loss  0.848817, Average Loss  0.870194, Time  0.264641
2021-09-16 11:16:50.975870 : Epoch  5, Batch   1280, Loss  0.868121, Average Loss  0.869525, Time  0.239727
2021-09-16 11:16:52.310561 : Epoch  7, Batch   1190, Loss  0.875136, Average Loss  0.870129, Time  0.264574
2021-09-16 11:16:53.583960 : Epoch  5, Batch   1281, Loss  0.850415, Average Loss  0.869412, Time  0.241367
2021-09-16 11:16:55.284312 : Epoch  7, Batch   1191, Loss  0.882044, Average Loss  0.870176, Time  0.263939
2021-09-16 11:16:56.170560 : Epoch  5, Batch   1282, Loss  0.875519, Average Loss  0.869476, Time  0.239956
2021-09-16 11:16:58.267770 : Epoch  7, Batch   1192, Loss  0.857387, Average Loss  0.870179, Time  0.266280
2021-09-16 11:16:58.776067 : Epoch  5, Batch   1283, Loss  0.846496, Average Loss  0.869344, Time  0.240132
2021-09-16 11:17:01.289340 : Epoch  7, Batch   1193, Loss  0.855826, Average Loss  0.870096, Time  0.265088
2021-09-16 11:17:01.375666 : Epoch  5, Batch   1284, Loss  0.870399, Average Loss  0.869330, Time  0.241800
2021-09-16 11:17:03.966979 : Epoch  5, Batch   1285, Loss  0.872981, Average Loss  0.869345, Time  0.239839
2021-09-16 11:17:04.292398 : Epoch  7, Batch   1194, Loss  0.856731, Average Loss  0.869980, Time  0.264326
2021-09-16 11:17:06.568391 : Epoch  5, Batch   1286, Loss  0.867188, Average Loss  0.869222, Time  0.240620
2021-09-16 11:17:07.308418 : Epoch  7, Batch   1195, Loss  0.867168, Average Loss  0.869921, Time  0.276793
2021-09-16 11:17:09.174121 : Epoch  5, Batch   1287, Loss  0.859903, Average Loss  0.869199, Time  0.241589
2021-09-16 11:17:10.315887 : Epoch  7, Batch   1196, Loss  0.860879, Average Loss  0.869790, Time  0.264706
2021-09-16 11:17:11.776557 : Epoch  5, Batch   1288, Loss  0.837199, Average Loss  0.869036, Time  0.239845
2021-09-16 11:17:13.288421 : Epoch  7, Batch   1197, Loss  0.879896, Average Loss  0.869817, Time  0.265809
2021-09-16 11:17:14.375072 : Epoch  5, Batch   1289, Loss  0.872924, Average Loss  0.869064, Time  0.239682
2021-09-16 11:17:16.276974 : Epoch  7, Batch   1198, Loss  0.868055, Average Loss  0.869816, Time  0.266091
2021-09-16 11:17:16.972817 : Epoch  5, Batch   1290, Loss  0.881616, Average Loss  0.869183, Time  0.240853
2021-09-16 11:17:19.273735 : Epoch  7, Batch   1199, Loss  0.866312, Average Loss  0.869829, Time  0.264686
2021-09-16 11:17:19.562633 : Epoch  5, Batch   1291, Loss  0.877749, Average Loss  0.869276, Time  0.240213
2021-09-16 11:17:22.146828 : Epoch  5, Batch   1292, Loss  0.856257, Average Loss  0.869088, Time  0.239785
2021-09-16 11:17:22.266730 : Epoch  7, Batch   1200, Loss  0.883541, Average Loss  0.869915, Time  0.265543
2021-09-16 11:17:24.733608 : Epoch  5, Batch   1293, Loss  0.882076, Average Loss  0.869220, Time  0.239821
2021-09-16 11:17:25.252216 : Epoch  7, Batch   1201, Loss  0.871613, Average Loss  0.869954, Time  0.265810
2021-09-16 11:17:27.326865 : Epoch  5, Batch   1294, Loss  0.854654, Average Loss  0.869196, Time  0.241169
2021-09-16 11:17:28.291810 : Epoch  7, Batch   1202, Loss  0.867115, Average Loss  0.869993, Time  0.266412
2021-09-16 11:17:29.922740 : Epoch  5, Batch   1295, Loss  0.864986, Average Loss  0.869157, Time  0.240513
2021-09-16 11:17:31.281295 : Epoch  7, Batch   1203, Loss  0.865077, Average Loss  0.869987, Time  0.265718
2021-09-16 11:17:32.517681 : Epoch  5, Batch   1296, Loss  0.853312, Average Loss  0.869170, Time  0.241182
2021-09-16 11:17:34.267473 : Epoch  7, Batch   1204, Loss  0.876042, Average Loss  0.869964, Time  0.265481
2021-09-16 11:17:35.117912 : Epoch  5, Batch   1297, Loss  0.856780, Average Loss  0.869004, Time  0.240388
2021-09-16 11:17:37.280151 : Epoch  7, Batch   1205, Loss  0.852845, Average Loss  0.869856, Time  0.265479
2021-09-16 11:17:37.717643 : Epoch  5, Batch   1298, Loss  0.878803, Average Loss  0.869101, Time  0.242758
2021-09-16 11:17:40.273661 : Epoch  7, Batch   1206, Loss  0.876015, Average Loss  0.869916, Time  0.265440
2021-09-16 11:17:40.294097 : Epoch  5, Batch   1299, Loss  0.867927, Average Loss  0.869145, Time  0.240496
2021-09-16 11:17:42.892590 : Epoch  5, Batch   1300, Loss  0.877260, Average Loss  0.869187, Time  0.241551
2021-09-16 11:17:43.254274 : Epoch  7, Batch   1207, Loss  0.841501, Average Loss  0.869774, Time  0.264311
2021-09-16 11:17:45.487266 : Epoch  5, Batch   1301, Loss  0.853314, Average Loss  0.868986, Time  0.239958
2021-09-16 11:17:46.247531 : Epoch  7, Batch   1208, Loss  0.871986, Average Loss  0.869774, Time  0.264872
2021-09-16 11:17:48.085920 : Epoch  5, Batch   1302, Loss  0.885566, Average Loss  0.869025, Time  0.242440
2021-09-16 11:17:49.274486 : Epoch  7, Batch   1209, Loss  0.862299, Average Loss  0.869797, Time  0.265007
2021-09-16 11:17:50.687862 : Epoch  5, Batch   1303, Loss  0.862960, Average Loss  0.869032, Time  0.240721
2021-09-16 11:17:52.269832 : Epoch  7, Batch   1210, Loss  0.881311, Average Loss  0.869851, Time  0.275841
2021-09-16 11:17:53.278125 : Epoch  5, Batch   1304, Loss  0.865166, Average Loss  0.869121, Time  0.241310
2021-09-16 11:17:55.256524 : Epoch  7, Batch   1211, Loss  0.866759, Average Loss  0.869814, Time  0.265046
2021-09-16 11:17:55.884217 : Epoch  5, Batch   1305, Loss  0.859653, Average Loss  0.868978, Time  0.240275
2021-09-16 11:17:58.240133 : Epoch  7, Batch   1212, Loss  0.883064, Average Loss  0.869933, Time  0.265990
2021-09-16 11:17:58.479126 : Epoch  5, Batch   1306, Loss  0.859854, Average Loss  0.868947, Time  0.242249
2021-09-16 11:18:01.072378 : Epoch  5, Batch   1307, Loss  0.889558, Average Loss  0.869124, Time  0.240032
2021-09-16 11:18:01.256797 : Epoch  7, Batch   1213, Loss  0.852429, Average Loss  0.869929, Time  0.264290
2021-09-16 11:18:03.663609 : Epoch  5, Batch   1308, Loss  0.868739, Average Loss  0.869214, Time  0.240650
2021-09-16 11:18:04.233647 : Epoch  7, Batch   1214, Loss  0.864139, Average Loss  0.869925, Time  0.265934
2021-09-16 11:18:06.269395 : Epoch  5, Batch   1309, Loss  0.867219, Average Loss  0.869200, Time  0.241982
2021-09-16 11:18:07.231228 : Epoch  7, Batch   1215, Loss  0.894912, Average Loss  0.869982, Time  0.265863
2021-09-16 11:18:08.869167 : Epoch  5, Batch   1310, Loss  0.863539, Average Loss  0.869104, Time  0.240135
2021-09-16 11:18:10.219100 : Epoch  7, Batch   1216, Loss  0.861810, Average Loss  0.869811, Time  0.266220
2021-09-16 11:18:11.472033 : Epoch  5, Batch   1311, Loss  0.862420, Average Loss  0.869117, Time  0.242185
2021-09-16 11:18:13.226653 : Epoch  7, Batch   1217, Loss  0.861635, Average Loss  0.869757, Time  0.264582
2021-09-16 11:18:14.054441 : Epoch  5, Batch   1312, Loss  0.869087, Average Loss  0.869144, Time  0.239635
2021-09-16 11:18:16.235760 : Epoch  7, Batch   1218, Loss  0.866319, Average Loss  0.869888, Time  0.265257
2021-09-16 11:18:16.664058 : Epoch  5, Batch   1313, Loss  0.876484, Average Loss  0.869185, Time  0.240183
2021-09-16 11:18:19.211200 : Epoch  7, Batch   1219, Loss  0.884821, Average Loss  0.870039, Time  0.264931
2021-09-16 11:18:19.252084 : Epoch  5, Batch   1314, Loss  0.871923, Average Loss  0.869215, Time  0.242244
2021-09-16 11:18:21.843373 : Epoch  5, Batch   1315, Loss  0.859806, Average Loss  0.869237, Time  0.239594
2021-09-16 11:18:22.218875 : Epoch  7, Batch   1220, Loss  0.852422, Average Loss  0.869957, Time  0.265153
2021-09-16 11:18:24.450935 : Epoch  5, Batch   1316, Loss  0.863611, Average Loss  0.869154, Time  0.245113
2021-09-16 11:18:25.198648 : Epoch  7, Batch   1221, Loss  0.873488, Average Loss  0.869920, Time  0.265043
2021-09-16 11:18:27.030471 : Epoch  5, Batch   1317, Loss  0.872710, Average Loss  0.869178, Time  0.240544
2021-09-16 11:18:28.186033 : Epoch  7, Batch   1222, Loss  0.865834, Average Loss  0.869915, Time  0.264735
2021-09-16 11:18:29.638297 : Epoch  5, Batch   1318, Loss  0.878802, Average Loss  0.869220, Time  0.240753
2021-09-16 11:18:31.168996 : Epoch  7, Batch   1223, Loss  0.884833, Average Loss  0.870024, Time  0.265298
2021-09-16 11:18:32.235840 : Epoch  5, Batch   1319, Loss  0.875300, Average Loss  0.869140, Time  0.239848
2021-09-16 11:18:34.152636 : Epoch  7, Batch   1224, Loss  0.844525, Average Loss  0.869903, Time  0.263664
2021-09-16 11:18:34.850684 : Epoch  5, Batch   1320, Loss  0.883499, Average Loss  0.869131, Time  0.240242
2021-09-16 11:18:37.163366 : Epoch  7, Batch   1225, Loss  0.862161, Average Loss  0.869883, Time  0.277548
2021-09-16 11:18:37.438338 : Epoch  5, Batch   1321, Loss  0.859395, Average Loss  0.869088, Time  0.239864
2021-09-16 11:18:40.018353 : Epoch  5, Batch   1322, Loss  0.863984, Average Loss  0.869018, Time  0.240958
2021-09-16 11:18:40.163069 : Epoch  7, Batch   1226, Loss  0.889811, Average Loss  0.869967, Time  0.265717
2021-09-16 11:18:42.622012 : Epoch  5, Batch   1323, Loss  0.881300, Average Loss  0.869075, Time  0.240201
2021-09-16 11:18:43.157452 : Epoch  7, Batch   1227, Loss  0.863373, Average Loss  0.869898, Time  0.265086
2021-09-16 11:18:45.228400 : Epoch  5, Batch   1324, Loss  0.885606, Average Loss  0.869194, Time  0.240261
2021-09-16 11:18:46.141440 : Epoch  7, Batch   1228, Loss  0.866340, Average Loss  0.869824, Time  0.264892
2021-09-16 11:18:47.827926 : Epoch  5, Batch   1325, Loss  0.865888, Average Loss  0.869299, Time  0.240998
2021-09-16 11:18:49.122426 : Epoch  7, Batch   1229, Loss  0.838220, Average Loss  0.869707, Time  0.264182
2021-09-16 11:18:50.430321 : Epoch  5, Batch   1326, Loss  0.880645, Average Loss  0.869223, Time  0.240027
2021-09-16 11:18:52.099081 : Epoch  7, Batch   1230, Loss  0.875371, Average Loss  0.869722, Time  0.263947
2021-09-16 11:18:53.019360 : Epoch  5, Batch   1327, Loss  0.859023, Average Loss  0.869177, Time  0.239562
2021-09-16 11:18:55.110027 : Epoch  7, Batch   1231, Loss  0.887661, Average Loss  0.869853, Time  0.265618
2021-09-16 11:18:55.622550 : Epoch  5, Batch   1328, Loss  0.863054, Average Loss  0.869162, Time  0.239967
2021-09-16 11:18:58.060746 : Epoch  7, Batch   1232, Loss  0.866408, Average Loss  0.869931, Time  0.264231
2021-09-16 11:18:58.208295 : Epoch  5, Batch   1329, Loss  0.876426, Average Loss  0.869185, Time  0.239685
2021-09-16 11:19:00.792943 : Epoch  5, Batch   1330, Loss  0.879784, Average Loss  0.869314, Time  0.239762
2021-09-16 11:19:01.055392 : Epoch  7, Batch   1233, Loss  0.853064, Average Loss  0.869770, Time  0.265113
2021-09-16 11:19:03.391310 : Epoch  5, Batch   1331, Loss  0.871936, Average Loss  0.869350, Time  0.240599
2021-09-16 11:19:04.056324 : Epoch  7, Batch   1234, Loss  0.872497, Average Loss  0.869844, Time  0.264187
2021-09-16 11:19:05.990375 : Epoch  5, Batch   1332, Loss  0.871317, Average Loss  0.869297, Time  0.240101
2021-09-16 11:19:07.036608 : Epoch  7, Batch   1235, Loss  0.868538, Average Loss  0.869865, Time  0.265435
2021-09-16 11:19:08.605857 : Epoch  5, Batch   1333, Loss  0.854890, Average Loss  0.869210, Time  0.240515
2021-09-16 11:19:10.041134 : Epoch  7, Batch   1236, Loss  0.849910, Average Loss  0.869708, Time  0.266028
2021-09-16 11:19:11.195990 : Epoch  5, Batch   1334, Loss  0.874545, Average Loss  0.869305, Time  0.241025
2021-09-16 11:19:13.060768 : Epoch  7, Batch   1237, Loss  0.846609, Average Loss  0.869569, Time  0.265395
2021-09-16 11:19:13.799537 : Epoch  5, Batch   1335, Loss  0.876150, Average Loss  0.869478, Time  0.240417
2021-09-16 11:19:16.060404 : Epoch  7, Batch   1238, Loss  0.864248, Average Loss  0.869475, Time  0.265002
2021-09-16 11:19:16.389303 : Epoch  5, Batch   1336, Loss  0.850273, Average Loss  0.869328, Time  0.239638
2021-09-16 11:19:18.973413 : Epoch  5, Batch   1337, Loss  0.882255, Average Loss  0.869227, Time  0.241310
2021-09-16 11:19:19.047891 : Epoch  7, Batch   1239, Loss  0.882672, Average Loss  0.869597, Time  0.264676
2021-09-16 11:19:21.569941 : Epoch  5, Batch   1338, Loss  0.869188, Average Loss  0.869200, Time  0.240627
2021-09-16 11:19:22.039952 : Epoch  7, Batch   1240, Loss  0.867653, Average Loss  0.869585, Time  0.274306
2021-09-16 11:19:24.172755 : Epoch  5, Batch   1339, Loss  0.870706, Average Loss  0.869201, Time  0.239996
2021-09-16 11:19:25.019063 : Epoch  7, Batch   1241, Loss  0.883303, Average Loss  0.869705, Time  0.265977
2021-09-16 11:19:26.760516 : Epoch  5, Batch   1340, Loss  0.862601, Average Loss  0.869167, Time  0.239342
2021-09-16 11:19:28.006428 : Epoch  7, Batch   1242, Loss  0.875668, Average Loss  0.869855, Time  0.264603
2021-09-16 11:19:29.361402 : Epoch  5, Batch   1341, Loss  0.847243, Average Loss  0.869140, Time  0.239265
2021-09-16 11:19:31.002949 : Epoch  7, Batch   1243, Loss  0.870706, Average Loss  0.869969, Time  0.264736
2021-09-16 11:19:31.940776 : Epoch  5, Batch   1342, Loss  0.861468, Average Loss  0.869182, Time  0.239495
2021-09-16 11:19:33.973075 : Epoch  7, Batch   1244, Loss  0.869568, Average Loss  0.869989, Time  0.264726
2021-09-16 11:19:34.542919 : Epoch  5, Batch   1343, Loss  0.861062, Average Loss  0.869160, Time  0.240179
2021-09-16 11:19:36.960934 : Epoch  7, Batch   1245, Loss  0.893399, Average Loss  0.870000, Time  0.265889
2021-09-16 11:19:37.143299 : Epoch  5, Batch   1344, Loss  0.850635, Average Loss  0.869134, Time  0.240416
2021-09-16 11:19:39.721252 : Epoch  5, Batch   1345, Loss  0.880897, Average Loss  0.869186, Time  0.239949
2021-09-16 11:19:39.951872 : Epoch  7, Batch   1246, Loss  0.856885, Average Loss  0.869959, Time  0.264562
2021-09-16 11:19:42.311443 : Epoch  5, Batch   1346, Loss  0.878241, Average Loss  0.869254, Time  0.239715
2021-09-16 11:19:42.929259 : Epoch  7, Batch   1247, Loss  0.838311, Average Loss  0.869766, Time  0.265084
2021-09-16 11:19:44.909738 : Epoch  5, Batch   1347, Loss  0.874717, Average Loss  0.869354, Time  0.239512
2021-09-16 11:19:45.947515 : Epoch  7, Batch   1248, Loss  0.859805, Average Loss  0.869735, Time  0.264922
2021-09-16 11:19:47.506343 : Epoch  5, Batch   1348, Loss  0.874617, Average Loss  0.869405, Time  0.242684
2021-09-16 11:19:48.925403 : Epoch  7, Batch   1249, Loss  0.865861, Average Loss  0.869677, Time  0.265151
2021-09-16 11:19:50.095332 : Epoch  5, Batch   1349, Loss  0.857487, Average Loss  0.869255, Time  0.239554
2021-09-16 11:19:51.908099 : Epoch  7, Batch   1250, Loss  0.851216, Average Loss  0.869718, Time  0.265920
2021-09-16 11:19:52.701990 : Epoch  5, Batch   1350, Loss  0.866620, Average Loss  0.869225, Time  0.239727
2021-09-16 11:19:54.913398 : Epoch  7, Batch   1251, Loss  0.861118, Average Loss  0.869802, Time  0.264827
2021-09-16 11:19:55.300580 : Epoch  5, Batch   1351, Loss  0.885952, Average Loss  0.869350, Time  0.240524
2021-09-16 11:19:57.888876 : Epoch  5, Batch   1352, Loss  0.861445, Average Loss  0.869314, Time  0.239563
2021-09-16 11:19:57.897929 : Epoch  7, Batch   1252, Loss  0.842851, Average Loss  0.869617, Time  0.264604
2021-09-16 11:20:00.485339 : Epoch  5, Batch   1353, Loss  0.863656, Average Loss  0.869279, Time  0.239669
2021-09-16 11:20:00.934519 : Epoch  7, Batch   1253, Loss  0.871117, Average Loss  0.869523, Time  0.265365
2021-09-16 11:20:03.085266 : Epoch  5, Batch   1354, Loss  0.874010, Average Loss  0.869274, Time  0.239945
2021-09-16 11:20:03.944351 : Epoch  7, Batch   1254, Loss  0.873696, Average Loss  0.869473, Time  0.266465
2021-09-16 11:20:05.677492 : Epoch  5, Batch   1355, Loss  0.868397, Average Loss  0.869302, Time  0.239954
2021-09-16 11:20:06.954087 : Epoch  7, Batch   1255, Loss  0.866370, Average Loss  0.869537, Time  0.278247
2021-09-16 11:20:08.271790 : Epoch  5, Batch   1356, Loss  0.873811, Average Loss  0.869322, Time  0.239551
2021-09-16 11:20:09.968978 : Epoch  7, Batch   1256, Loss  0.856195, Average Loss  0.869462, Time  0.265700
2021-09-16 11:20:10.874340 : Epoch  5, Batch   1357, Loss  0.873289, Average Loss  0.869333, Time  0.239333
2021-09-16 11:20:12.982765 : Epoch  7, Batch   1257, Loss  0.894173, Average Loss  0.869586, Time  0.265775
2021-09-16 11:20:13.465797 : Epoch  5, Batch   1358, Loss  0.867234, Average Loss  0.869280, Time  0.239231
2021-09-16 11:20:15.955285 : Epoch  7, Batch   1258, Loss  0.860092, Average Loss  0.869535, Time  0.264956
2021-09-16 11:20:16.048956 : Epoch  5, Batch   1359, Loss  0.862701, Average Loss  0.869279, Time  0.239326
2021-09-16 11:20:18.636755 : Epoch  5, Batch   1360, Loss  0.878136, Average Loss  0.869341, Time  0.239960
2021-09-16 11:20:18.972084 : Epoch  7, Batch   1259, Loss  0.869657, Average Loss  0.869532, Time  0.265706
2021-09-16 11:20:21.245323 : Epoch  5, Batch   1361, Loss  0.858857, Average Loss  0.869253, Time  0.239142
2021-09-16 11:20:21.959377 : Epoch  7, Batch   1260, Loss  0.845458, Average Loss  0.869437, Time  0.265172
2021-09-16 11:20:23.839467 : Epoch  5, Batch   1362, Loss  0.867274, Average Loss  0.869218, Time  0.239722
2021-09-16 11:20:24.939382 : Epoch  7, Batch   1261, Loss  0.852767, Average Loss  0.869385, Time  0.265244
2021-09-16 11:20:26.431088 : Epoch  5, Batch   1363, Loss  0.874318, Average Loss  0.869198, Time  0.240329
2021-09-16 11:20:27.953940 : Epoch  7, Batch   1262, Loss  0.869053, Average Loss  0.869451, Time  0.264772
2021-09-16 11:20:29.035148 : Epoch  5, Batch   1364, Loss  0.862741, Average Loss  0.869233, Time  0.239686
2021-09-16 11:20:30.956235 : Epoch  7, Batch   1263, Loss  0.872383, Average Loss  0.869393, Time  0.266732
2021-09-16 11:20:31.631395 : Epoch  5, Batch   1365, Loss  0.875445, Average Loss  0.869340, Time  0.240955
2021-09-16 11:20:33.933946 : Epoch  7, Batch   1264, Loss  0.872492, Average Loss  0.869429, Time  0.263275
2021-09-16 11:20:34.225349 : Epoch  5, Batch   1366, Loss  0.860976, Average Loss  0.869256, Time  0.239632
2021-09-16 11:20:36.813008 : Epoch  5, Batch   1367, Loss  0.859082, Average Loss  0.869169, Time  0.239257
2021-09-16 11:20:39.412346 : Epoch  5, Batch   1368, Loss  0.857014, Average Loss  0.869077, Time  0.239726
2021-09-16 11:20:42.012162 : Epoch  5, Batch   1369, Loss  0.870927, Average Loss  0.869165, Time  0.241487
2021-09-16 11:20:44.601281 : Epoch  5, Batch   1370, Loss  0.862986, Average Loss  0.869061, Time  0.239256
2021-09-16 11:20:47.192998 : Epoch  5, Batch   1371, Loss  0.873418, Average Loss  0.869024, Time  0.239166
2021-09-16 11:20:49.814599 : Epoch  5, Batch   1372, Loss  0.893685, Average Loss  0.869153, Time  0.243364
2021-09-16 11:20:52.409372 : Epoch  5, Batch   1373, Loss  0.841135, Average Loss  0.869040, Time  0.239301
2021-09-16 11:20:55.013068 : Epoch  5, Batch   1374, Loss  0.876236, Average Loss  0.869034, Time  0.241504
2021-09-16 11:20:57.610933 : Epoch  5, Batch   1375, Loss  0.870085, Average Loss  0.869065, Time  0.240140
2021-09-16 11:21:00.205736 : Epoch  5, Batch   1376, Loss  0.881786, Average Loss  0.869138, Time  0.239462
2021-09-16 11:25:02.625741 : CheckPoint: Validation Loss  0.00029463, Best Loss  0.00029226
2021-09-16 11:25:05.223936 : Epoch  5, Batch   1377, Loss  0.857085, Average Loss  0.869061, Time  0.265187
2021-09-16 11:25:07.800711 : Epoch  5, Batch   1378, Loss  0.852780, Average Loss  0.868903, Time  0.240478
2021-09-16 11:25:10.379949 : Epoch  5, Batch   1379, Loss  0.877064, Average Loss  0.868909, Time  0.238115
2021-09-16 11:25:12.791750 : CheckPoint: Validation Loss  0.00030530, Best Loss  0.00029295
2021-09-16 11:25:12.957912 : Epoch  5, Batch   1380, Loss  0.878755, Average Loss  0.869009, Time  0.238165
2021-09-16 11:25:15.523927 : Epoch  5, Batch   1381, Loss  0.861270, Average Loss  0.868989, Time  0.238206
2021-09-16 11:25:15.790480 : Epoch  7, Batch   1265, Loss  0.865367, Average Loss  0.869408, Time  0.266300
2021-09-16 11:25:18.091917 : Epoch  5, Batch   1382, Loss  0.859086, Average Loss  0.868925, Time  0.237801
2021-09-16 11:25:18.761932 : Epoch  7, Batch   1266, Loss  0.862128, Average Loss  0.869361, Time  0.264577
2021-09-16 11:25:20.671849 : Epoch  5, Batch   1383, Loss  0.861080, Average Loss  0.868898, Time  0.237965
2021-09-16 11:25:21.772695 : Epoch  7, Batch   1267, Loss  0.885384, Average Loss  0.869463, Time  0.264553
2021-09-16 11:25:23.254133 : Epoch  5, Batch   1384, Loss  0.876347, Average Loss  0.868956, Time  0.238167
2021-09-16 11:25:24.782676 : Epoch  7, Batch   1268, Loss  0.883830, Average Loss  0.869493, Time  0.265644
2021-09-16 11:25:25.825952 : Epoch  5, Batch   1385, Loss  0.872590, Average Loss  0.868894, Time  0.238755
2021-09-16 11:25:27.758156 : Epoch  7, Batch   1269, Loss  0.868877, Average Loss  0.869440, Time  0.264782
2021-09-16 11:25:28.406952 : Epoch  5, Batch   1386, Loss  0.878007, Average Loss  0.868999, Time  0.238576
2021-09-16 11:25:30.759840 : Epoch  7, Batch   1270, Loss  0.884543, Average Loss  0.869595, Time  0.264391
2021-09-16 11:25:30.983204 : Epoch  5, Batch   1387, Loss  0.857956, Average Loss  0.868941, Time  0.238473
2021-09-16 11:25:33.551955 : Epoch  5, Batch   1388, Loss  0.891809, Average Loss  0.869243, Time  0.238561
2021-09-16 11:25:33.729073 : Epoch  7, Batch   1271, Loss  0.868144, Average Loss  0.869663, Time  0.264335
2021-09-16 11:25:36.123369 : Epoch  5, Batch   1389, Loss  0.870316, Average Loss  0.869224, Time  0.238321
2021-09-16 11:25:36.689558 : Epoch  7, Batch   1272, Loss  0.860969, Average Loss  0.869839, Time  0.265804
2021-09-16 11:25:38.701771 : Epoch  5, Batch   1390, Loss  0.883196, Average Loss  0.869211, Time  0.238087
2021-09-16 11:25:39.669938 : Epoch  7, Batch   1273, Loss  0.854885, Average Loss  0.869762, Time  0.264725
2021-09-16 11:25:41.265495 : Epoch  5, Batch   1391, Loss  0.890340, Average Loss  0.869307, Time  0.238774
2021-09-16 11:25:42.679032 : Epoch  7, Batch   1274, Loss  0.861245, Average Loss  0.869693, Time  0.278356
2021-09-16 11:25:43.848925 : Epoch  5, Batch   1392, Loss  0.870758, Average Loss  0.869322, Time  0.238118
2021-09-16 11:25:45.644282 : Epoch  7, Batch   1275, Loss  0.876197, Average Loss  0.869698, Time  0.265460
2021-09-16 11:25:46.425807 : Epoch  5, Batch   1393, Loss  0.860429, Average Loss  0.869170, Time  0.237993
2021-09-16 11:25:48.616838 : Epoch  7, Batch   1276, Loss  0.876879, Average Loss  0.869676, Time  0.265225
2021-09-16 11:25:49.008744 : Epoch  5, Batch   1394, Loss  0.851279, Average Loss  0.869122, Time  0.238441
2021-09-16 11:25:51.575374 : Epoch  7, Batch   1277, Loss  0.854566, Average Loss  0.869571, Time  0.264446
2021-09-16 11:25:51.577106 : Epoch  5, Batch   1395, Loss  0.868673, Average Loss  0.869189, Time  0.238188
2021-09-16 11:25:54.183792 : Epoch  5, Batch   1396, Loss  0.864091, Average Loss  0.869138, Time  0.237858
2021-09-16 11:25:54.552962 : Epoch  7, Batch   1278, Loss  0.882299, Average Loss  0.869587, Time  0.264921
2021-09-16 11:25:56.781937 : Epoch  5, Batch   1397, Loss  0.885161, Average Loss  0.869316, Time  0.238449
2021-09-16 11:25:57.520874 : Epoch  7, Batch   1279, Loss  0.877402, Average Loss  0.869641, Time  0.265101
2021-09-16 11:25:59.378941 : Epoch  5, Batch   1398, Loss  0.858660, Average Loss  0.869309, Time  0.241390
2021-09-16 11:26:00.514507 : Epoch  7, Batch   1280, Loss  0.834539, Average Loss  0.869547, Time  0.264537
2021-09-16 11:26:01.985736 : Epoch  5, Batch   1399, Loss  0.879803, Average Loss  0.869378, Time  0.238867
2021-09-16 11:26:03.481436 : Epoch  7, Batch   1281, Loss  0.860128, Average Loss  0.869319, Time  0.263843
2021-09-16 11:26:04.569841 : Epoch  5, Batch   1400, Loss  0.849790, Average Loss  0.869264, Time  0.239888
2021-09-16 11:26:06.452784 : Epoch  7, Batch   1282, Loss  0.862774, Average Loss  0.869209, Time  0.264394
2021-09-16 11:26:07.151908 : Epoch  5, Batch   1401, Loss  0.865593, Average Loss  0.869344, Time  0.238169
2021-09-16 11:26:09.415158 : Epoch  7, Batch   1283, Loss  0.868179, Average Loss  0.869168, Time  0.264304
2021-09-16 11:26:09.733136 : Epoch  5, Batch   1402, Loss  0.852300, Average Loss  0.869188, Time  0.238077
2021-09-16 11:26:12.301875 : Epoch  5, Batch   1403, Loss  0.859872, Average Loss  0.869096, Time  0.238059
2021-09-16 11:26:12.391399 : Epoch  7, Batch   1284, Loss  0.883569, Average Loss  0.869240, Time  0.265812
2021-09-16 11:26:14.867116 : Epoch  5, Batch   1404, Loss  0.840559, Average Loss  0.868900, Time  0.238339
2021-09-16 11:26:15.377610 : Epoch  7, Batch   1285, Loss  0.867010, Average Loss  0.869220, Time  0.263940
2021-09-16 11:26:17.440894 : Epoch  5, Batch   1405, Loss  0.863827, Average Loss  0.868921, Time  0.238209
2021-09-16 11:26:18.328477 : Epoch  7, Batch   1286, Loss  0.873480, Average Loss  0.869169, Time  0.264321
2021-09-16 11:26:20.006693 : Epoch  5, Batch   1406, Loss  0.867018, Average Loss  0.868841, Time  0.238288
2021-09-16 11:26:21.289088 : Epoch  7, Batch   1287, Loss  0.859679, Average Loss  0.869067, Time  0.264541
2021-09-16 11:26:22.596689 : Epoch  5, Batch   1407, Loss  0.874976, Average Loss  0.868733, Time  0.238588
2021-09-16 11:26:24.269008 : Epoch  7, Batch   1288, Loss  0.856622, Average Loss  0.868916, Time  0.264610
2021-09-16 11:26:25.173029 : Epoch  5, Batch   1408, Loss  0.871138, Average Loss  0.868781, Time  0.238424
2021-09-16 11:26:27.243268 : Epoch  7, Batch   1289, Loss  0.880168, Average Loss  0.868872, Time  0.272088
2021-09-16 11:26:27.740716 : Epoch  5, Batch   1409, Loss  0.871948, Average Loss  0.868702, Time  0.239216
2021-09-16 11:26:30.211097 : Epoch  7, Batch   1290, Loss  0.844558, Average Loss  0.868761, Time  0.264713
2021-09-16 11:26:30.298026 : Epoch  5, Batch   1410, Loss  0.875529, Average Loss  0.868655, Time  0.238304
2021-09-16 11:26:32.870277 : Epoch  5, Batch   1411, Loss  0.891680, Average Loss  0.868728, Time  0.238745
2021-09-16 11:26:33.192676 : Epoch  7, Batch   1291, Loss  0.854575, Average Loss  0.868790, Time  0.264642
2021-09-16 11:26:35.451968 : Epoch  5, Batch   1412, Loss  0.853096, Average Loss  0.868586, Time  0.238444
2021-09-16 11:26:36.172280 : Epoch  7, Batch   1292, Loss  0.854369, Average Loss  0.868712, Time  0.265205
2021-09-16 11:26:38.020017 : Epoch  5, Batch   1413, Loss  0.869776, Average Loss  0.868654, Time  0.238003
2021-09-16 11:26:39.178298 : Epoch  7, Batch   1293, Loss  0.883059, Average Loss  0.868752, Time  0.263853
2021-09-16 11:26:40.588187 : Epoch  5, Batch   1414, Loss  0.856410, Average Loss  0.868663, Time  0.238504
2021-09-16 11:26:42.192019 : Epoch  7, Batch   1294, Loss  0.895067, Average Loss  0.868879, Time  0.264931
2021-09-16 11:26:43.186724 : Epoch  5, Batch   1415, Loss  0.877548, Average Loss  0.868699, Time  0.238105
2021-09-16 11:26:45.173818 : Epoch  7, Batch   1295, Loss  0.872630, Average Loss  0.868993, Time  0.264171
2021-09-16 11:26:45.769206 : Epoch  5, Batch   1416, Loss  0.900235, Average Loss  0.868817, Time  0.237979
2021-09-16 11:26:48.156808 : Epoch  7, Batch   1296, Loss  0.875391, Average Loss  0.869045, Time  0.265734
2021-09-16 11:26:48.346013 : Epoch  5, Batch   1417, Loss  0.843912, Average Loss  0.868724, Time  0.238252
2021-09-16 11:26:50.929073 : Epoch  5, Batch   1418, Loss  0.880681, Average Loss  0.868729, Time  0.238225
2021-09-16 11:26:51.142889 : Epoch  7, Batch   1297, Loss  0.864485, Average Loss  0.869038, Time  0.265710
2021-09-16 11:26:53.497739 : Epoch  5, Batch   1419, Loss  0.871276, Average Loss  0.868689, Time  0.238013
2021-09-16 11:26:54.101976 : Epoch  7, Batch   1298, Loss  0.852342, Average Loss  0.868985, Time  0.264509
2021-09-16 11:26:56.072707 : Epoch  5, Batch   1420, Loss  0.881902, Average Loss  0.868718, Time  0.238422
2021-09-16 11:26:57.075914 : Epoch  7, Batch   1299, Loss  0.859598, Average Loss  0.869051, Time  0.264478
2021-09-16 11:26:58.661417 : Epoch  5, Batch   1421, Loss  0.864860, Average Loss  0.868701, Time  0.238009
2021-09-16 11:27:00.047928 : Epoch  7, Batch   1300, Loss  0.895522, Average Loss  0.869140, Time  0.264962
2021-09-16 11:27:01.233144 : Epoch  5, Batch   1422, Loss  0.850071, Average Loss  0.868607, Time  0.238230
2021-09-16 11:27:03.006826 : Epoch  7, Batch   1301, Loss  0.873716, Average Loss  0.869206, Time  0.264529
2021-09-16 11:27:03.807016 : Epoch  5, Batch   1423, Loss  0.843333, Average Loss  0.868571, Time  0.238013
2021-09-16 11:27:06.007384 : Epoch  7, Batch   1302, Loss  0.866047, Average Loss  0.869279, Time  0.263850
2021-09-16 11:27:06.391933 : Epoch  5, Batch   1424, Loss  0.892156, Average Loss  0.868618, Time  0.237855
2021-09-16 11:27:08.957710 : Epoch  5, Batch   1425, Loss  0.877475, Average Loss  0.868651, Time  0.238461
2021-09-16 11:27:08.980440 : Epoch  7, Batch   1303, Loss  0.877632, Average Loss  0.869361, Time  0.264836
2021-09-16 11:27:11.533043 : Epoch  5, Batch   1426, Loss  0.858836, Average Loss  0.868450, Time  0.238269
2021-09-16 11:27:11.999780 : Epoch  7, Batch   1304, Loss  0.873115, Average Loss  0.869394, Time  0.275079
2021-09-16 11:27:14.100980 : Epoch  5, Batch   1427, Loss  0.869073, Average Loss  0.868450, Time  0.238136
2021-09-16 11:27:14.978734 : Epoch  7, Batch   1305, Loss  0.848335, Average Loss  0.869294, Time  0.264423
2021-09-16 11:27:16.690964 : Epoch  5, Batch   1428, Loss  0.858265, Average Loss  0.868401, Time  0.238410
2021-09-16 11:27:17.971190 : Epoch  7, Batch   1306, Loss  0.883135, Average Loss  0.869270, Time  0.264259
2021-09-16 11:27:19.257013 : Epoch  5, Batch   1429, Loss  0.876152, Average Loss  0.868451, Time  0.238475
2021-09-16 11:27:20.935679 : Epoch  7, Batch   1307, Loss  0.877549, Average Loss  0.869249, Time  0.263936
2021-09-16 11:27:21.838709 : Epoch  5, Batch   1430, Loss  0.870913, Average Loss  0.868493, Time  0.238257
2021-09-16 11:27:23.909905 : Epoch  7, Batch   1308, Loss  0.862305, Average Loss  0.869224, Time  0.265144
2021-09-16 11:27:24.413204 : Epoch  5, Batch   1431, Loss  0.853709, Average Loss  0.868480, Time  0.238038
2021-09-16 11:27:26.886027 : Epoch  7, Batch   1309, Loss  0.881266, Average Loss  0.869227, Time  0.264753
2021-09-16 11:27:26.973018 : Epoch  5, Batch   1432, Loss  0.882636, Average Loss  0.868619, Time  0.239167
2021-09-16 11:27:29.548077 : Epoch  5, Batch   1433, Loss  0.892035, Average Loss  0.868764, Time  0.238124
2021-09-16 11:27:29.856252 : Epoch  7, Batch   1310, Loss  0.855177, Average Loss  0.869166, Time  0.265624
2021-09-16 11:27:32.121746 : Epoch  5, Batch   1434, Loss  0.861703, Average Loss  0.868626, Time  0.238656
2021-09-16 11:27:32.816031 : Epoch  7, Batch   1311, Loss  0.859706, Average Loss  0.869028, Time  0.266971
2021-09-16 11:27:34.695232 : Epoch  5, Batch   1435, Loss  0.865534, Average Loss  0.868676, Time  0.238365
2021-09-16 11:27:35.823163 : Epoch  7, Batch   1312, Loss  0.873227, Average Loss  0.869044, Time  0.265952
2021-09-16 11:27:37.268196 : Epoch  5, Batch   1436, Loss  0.870361, Average Loss  0.868617, Time  0.237972
2021-09-16 11:27:38.832131 : Epoch  7, Batch   1313, Loss  0.876193, Average Loss  0.869067, Time  0.265923
2021-09-16 11:27:39.839238 : Epoch  5, Batch   1437, Loss  0.870781, Average Loss  0.868633, Time  0.239134
2021-09-16 11:27:41.828611 : Epoch  7, Batch   1314, Loss  0.876461, Average Loss  0.869062, Time  0.266789
2021-09-16 11:27:42.408003 : Epoch  5, Batch   1438, Loss  0.861415, Average Loss  0.868491, Time  0.238505
2021-09-16 11:27:44.797477 : Epoch  7, Batch   1315, Loss  0.867687, Average Loss  0.869209, Time  0.264380
2021-09-16 11:27:44.986025 : Epoch  5, Batch   1439, Loss  0.869970, Average Loss  0.868423, Time  0.238111
2021-09-16 11:27:47.549975 : Epoch  5, Batch   1440, Loss  0.852144, Average Loss  0.868426, Time  0.238675
2021-09-16 11:27:47.774882 : Epoch  7, Batch   1316, Loss  0.871202, Average Loss  0.869179, Time  0.264971
2021-09-16 11:27:50.118713 : Epoch  5, Batch   1441, Loss  0.851170, Average Loss  0.868343, Time  0.238891
2021-09-16 11:27:50.762362 : Epoch  7, Batch   1317, Loss  0.859377, Average Loss  0.869072, Time  0.264961
2021-09-16 11:27:52.686095 : Epoch  5, Batch   1442, Loss  0.871124, Average Loss  0.868340, Time  0.238010
2021-09-16 11:27:53.754850 : Epoch  7, Batch   1318, Loss  0.860174, Average Loss  0.869009, Time  0.264578
2021-09-16 11:27:55.259213 : Epoch  5, Batch   1443, Loss  0.871947, Average Loss  0.868193, Time  0.238092
2021-09-16 11:27:56.735760 : Epoch  7, Batch   1319, Loss  0.875226, Average Loss  0.869028, Time  0.277605
2021-09-16 11:27:57.833221 : Epoch  5, Batch   1444, Loss  0.853154, Average Loss  0.868092, Time  0.238043
2021-09-16 11:27:59.717454 : Epoch  7, Batch   1320, Loss  0.855480, Average Loss  0.868910, Time  0.265493
2021-09-16 11:28:00.446683 : Epoch  5, Batch   1445, Loss  0.889524, Average Loss  0.868147, Time  0.256012
2021-09-16 11:28:02.732046 : Epoch  7, Batch   1321, Loss  0.870443, Average Loss  0.868893, Time  0.266377
2021-09-16 11:28:03.012809 : Epoch  5, Batch   1446, Loss  0.875125, Average Loss  0.868204, Time  0.238028
2021-09-16 11:28:05.579962 : Epoch  5, Batch   1447, Loss  0.850113, Average Loss  0.868131, Time  0.238160
2021-09-16 11:28:05.711201 : Epoch  7, Batch   1322, Loss  0.873150, Average Loss  0.868972, Time  0.264357
2021-09-16 11:28:08.161815 : Epoch  5, Batch   1448, Loss  0.871946, Average Loss  0.868228, Time  0.237950
2021-09-16 11:28:08.698962 : Epoch  7, Batch   1323, Loss  0.870541, Average Loss  0.868945, Time  0.265140
2021-09-16 11:28:10.747033 : Epoch  5, Batch   1449, Loss  0.847756, Average Loss  0.868053, Time  0.238533
2021-09-16 11:28:11.722117 : Epoch  7, Batch   1324, Loss  0.860099, Average Loss  0.868924, Time  0.265227
2021-09-16 11:28:13.320035 : Epoch  5, Batch   1450, Loss  0.873077, Average Loss  0.868037, Time  0.238368
2021-09-16 11:28:14.689259 : Epoch  7, Batch   1325, Loss  0.850791, Average Loss  0.868904, Time  0.264145
2021-09-16 11:28:15.890224 : Epoch  5, Batch   1451, Loss  0.869912, Average Loss  0.868095, Time  0.238050
2021-09-16 11:28:17.680677 : Epoch  7, Batch   1326, Loss  0.869115, Average Loss  0.868839, Time  0.263902
2021-09-16 11:28:18.482927 : Epoch  5, Batch   1452, Loss  0.856472, Average Loss  0.868084, Time  0.237974
2021-09-16 11:28:20.641920 : Epoch  7, Batch   1327, Loss  0.879388, Average Loss  0.868857, Time  0.264647
2021-09-16 11:28:21.069465 : Epoch  5, Batch   1453, Loss  0.865973, Average Loss  0.868090, Time  0.242389
2021-09-16 11:28:23.605991 : Epoch  7, Batch   1328, Loss  0.863394, Average Loss  0.868721, Time  0.264359
2021-09-16 11:28:23.622987 : Epoch  5, Batch   1454, Loss  0.871005, Average Loss  0.868233, Time  0.238015
2021-09-16 11:28:26.202218 : Epoch  5, Batch   1455, Loss  0.865281, Average Loss  0.868246, Time  0.238083
2021-09-16 11:28:26.564686 : Epoch  7, Batch   1329, Loss  0.862117, Average Loss  0.868713, Time  0.264234
2021-09-16 11:28:28.768227 : Epoch  5, Batch   1456, Loss  0.852002, Average Loss  0.868079, Time  0.238988
2021-09-16 11:28:29.504685 : Epoch  7, Batch   1330, Loss  0.860516, Average Loss  0.868687, Time  0.264587
2021-09-16 11:28:31.338214 : Epoch  5, Batch   1457, Loss  0.848251, Average Loss  0.868057, Time  0.237941
2021-09-16 11:28:32.454038 : Epoch  7, Batch   1331, Loss  0.876017, Average Loss  0.868701, Time  0.264729
2021-09-16 11:28:33.915308 : Epoch  5, Batch   1458, Loss  0.864065, Average Loss  0.867983, Time  0.239078
2021-09-16 11:28:35.418037 : Epoch  7, Batch   1332, Loss  0.891824, Average Loss  0.868808, Time  0.264115
2021-09-16 11:28:36.495046 : Epoch  5, Batch   1459, Loss  0.870846, Average Loss  0.868060, Time  0.238188
2021-09-16 11:28:38.420370 : Epoch  7, Batch   1333, Loss  0.852000, Average Loss  0.868710, Time  0.266547
2021-09-16 11:28:39.062746 : Epoch  5, Batch   1460, Loss  0.870055, Average Loss  0.868047, Time  0.238335
2021-09-16 11:28:41.400994 : Epoch  7, Batch   1334, Loss  0.892949, Average Loss  0.868739, Time  0.266040
2021-09-16 11:28:41.652999 : Epoch  5, Batch   1461, Loss  0.867707, Average Loss  0.868069, Time  0.238670
2021-09-16 11:28:44.226946 : Epoch  5, Batch   1462, Loss  0.859633, Average Loss  0.868010, Time  0.238149
2021-09-16 11:28:44.405398 : Epoch  7, Batch   1335, Loss  0.870605, Average Loss  0.868682, Time  0.274508
2021-09-16 11:28:46.803124 : Epoch  5, Batch   1463, Loss  0.863825, Average Loss  0.867883, Time  0.238325
2021-09-16 11:28:47.364400 : Epoch  7, Batch   1336, Loss  0.881037, Average Loss  0.868707, Time  0.263894
2021-09-16 11:28:49.373046 : Epoch  5, Batch   1464, Loss  0.902895, Average Loss  0.868035, Time  0.237938
2021-09-16 11:28:50.376909 : Epoch  7, Batch   1337, Loss  0.849366, Average Loss  0.868563, Time  0.264249
2021-09-16 11:28:51.952824 : Epoch  5, Batch   1465, Loss  0.874471, Average Loss  0.868144, Time  0.238378
2021-09-16 11:28:53.387602 : Epoch  7, Batch   1338, Loss  0.872630, Average Loss  0.868541, Time  0.264635
2021-09-16 11:28:54.545927 : Epoch  5, Batch   1466, Loss  0.851742, Average Loss  0.868107, Time  0.238374
2021-09-16 11:28:56.358054 : Epoch  7, Batch   1339, Loss  0.854207, Average Loss  0.868391, Time  0.264301
2021-09-16 11:28:57.126199 : Epoch  5, Batch   1467, Loss  0.872525, Average Loss  0.868167, Time  0.238042
2021-09-16 11:28:59.317654 : Epoch  7, Batch   1340, Loss  0.876783, Average Loss  0.868447, Time  0.263819
2021-09-16 11:28:59.704213 : Epoch  5, Batch   1468, Loss  0.837590, Average Loss  0.867940, Time  0.238136
2021-09-16 11:29:02.278030 : Epoch  5, Batch   1469, Loss  0.870743, Average Loss  0.868078, Time  0.237997
2021-09-16 11:29:02.285917 : Epoch  7, Batch   1341, Loss  0.860521, Average Loss  0.868311, Time  0.264937
2021-09-16 11:29:04.848737 : Epoch  5, Batch   1470, Loss  0.887562, Average Loss  0.868110, Time  0.237982
2021-09-16 11:29:05.269495 : Epoch  7, Batch   1342, Loss  0.867142, Average Loss  0.868309, Time  0.265859
2021-09-16 11:29:07.418224 : Epoch  5, Batch   1471, Loss  0.871230, Average Loss  0.868006, Time  0.237859
2021-09-16 11:29:08.234995 : Epoch  7, Batch   1343, Loss  0.868862, Average Loss  0.868269, Time  0.263774
2021-09-16 11:29:09.994791 : Epoch  5, Batch   1472, Loss  0.873728, Average Loss  0.867993, Time  0.238102
2021-09-16 11:29:11.201427 : Epoch  7, Batch   1344, Loss  0.861238, Average Loss  0.868225, Time  0.264466
2021-09-16 11:29:12.576921 : Epoch  5, Batch   1473, Loss  0.874555, Average Loss  0.868036, Time  0.238510
2021-09-16 11:29:14.163704 : Epoch  7, Batch   1345, Loss  0.874416, Average Loss  0.868254, Time  0.264828
2021-09-16 11:29:15.165734 : Epoch  5, Batch   1474, Loss  0.862223, Average Loss  0.868069, Time  0.238117
2021-09-16 11:29:17.139971 : Epoch  7, Batch   1346, Loss  0.861897, Average Loss  0.868154, Time  0.264593
2021-09-16 11:29:17.740459 : Epoch  5, Batch   1475, Loss  0.886609, Average Loss  0.868191, Time  0.238265
2021-09-16 11:29:20.138870 : Epoch  7, Batch   1347, Loss  0.856214, Average Loss  0.868101, Time  0.265333
2021-09-16 11:29:20.313014 : Epoch  5, Batch   1476, Loss  0.854645, Average Loss  0.868030, Time  0.238047
2021-09-16 11:29:23.131419 : Epoch  7, Batch   1348, Loss  0.868494, Average Loss  0.868162, Time  0.263707
2021-09-16 11:29:26.131038 : Epoch  7, Batch   1349, Loss  0.855506, Average Loss  0.868141, Time  0.264602
2021-09-16 11:29:29.142895 : Epoch  7, Batch   1350, Loss  0.870701, Average Loss  0.868203, Time  0.276152
2021-09-16 11:29:32.107116 : Epoch  7, Batch   1351, Loss  0.857763, Average Loss  0.868157, Time  0.264341
2021-09-16 11:29:35.072075 : Epoch  7, Batch   1352, Loss  0.871844, Average Loss  0.868282, Time  0.264627
2021-09-16 11:29:38.042854 : Epoch  7, Batch   1353, Loss  0.872411, Average Loss  0.868208, Time  0.265220
2021-09-16 11:29:41.011372 : Epoch  7, Batch   1354, Loss  0.878284, Average Loss  0.868153, Time  0.264881
2021-09-16 11:29:43.983288 : Epoch  7, Batch   1355, Loss  0.869343, Average Loss  0.868006, Time  0.264633
2021-09-16 11:29:46.920940 : Epoch  7, Batch   1356, Loss  0.887695, Average Loss  0.868102, Time  0.263038
2021-09-16 11:29:49.873899 : Epoch  7, Batch   1357, Loss  0.866222, Average Loss  0.868147, Time  0.263531
2021-09-16 11:29:52.858421 : Epoch  7, Batch   1358, Loss  0.873156, Average Loss  0.868152, Time  0.265669
2021-09-16 11:29:55.768334 : Epoch  7, Batch   1359, Loss  0.871662, Average Loss  0.868170, Time  0.262323
2021-09-16 11:29:58.720365 : Epoch  7, Batch   1360, Loss  0.884170, Average Loss  0.868133, Time  0.264610
2021-09-16 11:30:01.706929 : Epoch  7, Batch   1361, Loss  0.877597, Average Loss  0.868051, Time  0.264959
2021-09-16 11:30:04.669670 : Epoch  7, Batch   1362, Loss  0.876066, Average Loss  0.868164, Time  0.264426
2021-09-16 11:30:07.642882 : Epoch  7, Batch   1363, Loss  0.875029, Average Loss  0.868203, Time  0.263659
2021-09-16 11:30:10.601262 : Epoch  7, Batch   1364, Loss  0.897161, Average Loss  0.868343, Time  0.264569
2021-09-16 11:33:20.714695 : CheckPoint: Validation Loss  0.00030836, Best Loss  0.00029226
2021-09-16 11:33:23.292828 : Epoch  5, Batch   1477, Loss  0.882105, Average Loss  0.868035, Time  0.239357
2021-09-16 11:33:25.859950 : Epoch  5, Batch   1478, Loss  0.863502, Average Loss  0.868012, Time  0.238015
2021-09-16 11:33:28.433107 : Epoch  5, Batch   1479, Loss  0.876837, Average Loss  0.867991, Time  0.237966
2021-09-16 11:33:30.994028 : Epoch  5, Batch   1480, Loss  0.874199, Average Loss  0.868022, Time  0.239464
2021-09-16 11:33:33.563947 : Epoch  5, Batch   1481, Loss  0.871503, Average Loss  0.868127, Time  0.238241
2021-09-16 11:33:36.135950 : Epoch  5, Batch   1482, Loss  0.867253, Average Loss  0.868086, Time  0.238951
2021-09-16 11:33:38.723795 : Epoch  5, Batch   1483, Loss  0.866875, Average Loss  0.868188, Time  0.238072
2021-09-16 11:33:41.296204 : Epoch  5, Batch   1484, Loss  0.845667, Average Loss  0.868064, Time  0.238430
2021-09-16 11:33:43.863002 : Epoch  5, Batch   1485, Loss  0.856095, Average Loss  0.867980, Time  0.237808
2021-09-16 11:33:46.428739 : Epoch  5, Batch   1486, Loss  0.858750, Average Loss  0.867937, Time  0.238992
2021-09-16 11:33:49.003871 : Epoch  5, Batch   1487, Loss  0.886320, Average Loss  0.868070, Time  0.238171
2021-09-16 11:33:51.565089 : Epoch  5, Batch   1488, Loss  0.875147, Average Loss  0.868259, Time  0.237937
2021-09-16 11:33:54.121714 : Epoch  5, Batch   1489, Loss  0.861358, Average Loss  0.868201, Time  0.237974
2021-09-16 11:33:56.692041 : Epoch  5, Batch   1490, Loss  0.884569, Average Loss  0.868216, Time  0.238096
2021-09-16 11:33:59.317057 : Epoch  5, Batch   1491, Loss  0.865638, Average Loss  0.868156, Time  0.238086
2021-09-16 11:34:01.892690 : Epoch  5, Batch   1492, Loss  0.864061, Average Loss  0.868195, Time  0.238229
2021-09-16 11:34:04.451471 : Epoch  5, Batch   1493, Loss  0.859217, Average Loss  0.868080, Time  0.239401
2021-09-16 11:34:07.019724 : Epoch  5, Batch   1494, Loss  0.861777, Average Loss  0.868116, Time  0.238039
2021-09-16 11:34:09.591051 : Epoch  5, Batch   1495, Loss  0.861983, Average Loss  0.868101, Time  0.239081
2021-09-16 11:34:12.158956 : Epoch  5, Batch   1496, Loss  0.867467, Average Loss  0.868172, Time  0.238353
2021-09-16 11:34:14.724981 : Epoch  5, Batch   1497, Loss  0.873945, Average Loss  0.868258, Time  0.238326
2021-09-16 11:34:17.290980 : Epoch  5, Batch   1498, Loss  0.879051, Average Loss  0.868259, Time  0.238350
2021-09-16 11:34:19.867081 : Epoch  5, Batch   1499, Loss  0.869105, Average Loss  0.868265, Time  0.238382
2021-09-16 11:34:22.441943 : Epoch  5, Batch   1500, Loss  0.872797, Average Loss  0.868242, Time  0.238199
2021-09-16 11:34:25.006719 : Epoch  5, Batch   1501, Loss  0.888271, Average Loss  0.868417, Time  0.237984
2021-09-16 11:34:27.572005 : Epoch  5, Batch   1502, Loss  0.858491, Average Loss  0.868282, Time  0.237998
2021-09-16 11:34:30.142856 : Epoch  5, Batch   1503, Loss  0.862111, Average Loss  0.868278, Time  0.238342
2021-09-16 11:34:32.702033 : Epoch  5, Batch   1504, Loss  0.873345, Average Loss  0.868318, Time  0.238014
2021-09-16 11:34:35.288980 : Epoch  5, Batch   1505, Loss  0.864679, Average Loss  0.868344, Time  0.237905
2021-09-16 11:34:37.857742 : Epoch  5, Batch   1506, Loss  0.873458, Average Loss  0.868412, Time  0.238370
2021-09-16 11:34:40.428220 : Epoch  5, Batch   1507, Loss  0.847359, Average Loss  0.868201, Time  0.237973
2021-09-16 11:34:42.997618 : Epoch  5, Batch   1508, Loss  0.873803, Average Loss  0.868226, Time  0.238019
2021-09-16 11:34:45.562969 : Epoch  5, Batch   1509, Loss  0.877861, Average Loss  0.868279, Time  0.238199
2021-09-16 11:34:48.123973 : Epoch  5, Batch   1510, Loss  0.870269, Average Loss  0.868313, Time  0.238342
2021-09-16 11:34:49.180769 : CheckPoint: Validation Loss  0.00029717, Best Loss  0.00029295
2021-09-16 11:34:50.685703 : Epoch  5, Batch   1511, Loss  0.877117, Average Loss  0.868386, Time  0.238037
2021-09-16 11:34:52.145024 : Epoch  7, Batch   1365, Loss  0.887428, Average Loss  0.868435, Time  0.265601
2021-09-16 11:34:53.249212 : Epoch  5, Batch   1512, Loss  0.872540, Average Loss  0.868404, Time  0.237759
2021-09-16 11:34:55.109774 : Epoch  7, Batch   1366, Loss  0.843271, Average Loss  0.868299, Time  0.264670
2021-09-16 11:34:55.822694 : Epoch  5, Batch   1513, Loss  0.890633, Average Loss  0.868474, Time  0.238212
2021-09-16 11:34:58.091207 : Epoch  7, Batch   1367, Loss  0.863047, Average Loss  0.868119, Time  0.274920
2021-09-16 11:34:58.380242 : Epoch  5, Batch   1514, Loss  0.860382, Average Loss  0.868417, Time  0.238802
2021-09-16 11:35:00.935970 : Epoch  5, Batch   1515, Loss  0.872605, Average Loss  0.868481, Time  0.238250
2021-09-16 11:35:01.095203 : Epoch  7, Batch   1368, Loss  0.858408, Average Loss  0.868072, Time  0.263831
2021-09-16 11:35:03.513688 : Epoch  5, Batch   1516, Loss  0.865854, Average Loss  0.868492, Time  0.239017
2021-09-16 11:35:04.057393 : Epoch  7, Batch   1369, Loss  0.881568, Average Loss  0.868227, Time  0.264299
2021-09-16 11:35:06.084763 : Epoch  5, Batch   1517, Loss  0.879992, Average Loss  0.868528, Time  0.237916
2021-09-16 11:35:07.027059 : Epoch  7, Batch   1370, Loss  0.862834, Average Loss  0.868151, Time  0.264469
2021-09-16 11:35:08.669094 : Epoch  5, Batch   1518, Loss  0.873332, Average Loss  0.868501, Time  0.239242
2021-09-16 11:35:10.003319 : Epoch  7, Batch   1371, Loss  0.894835, Average Loss  0.868271, Time  0.264803
2021-09-16 11:35:11.229022 : Epoch  5, Batch   1519, Loss  0.876243, Average Loss  0.868506, Time  0.238738
2021-09-16 11:35:12.995666 : Epoch  7, Batch   1372, Loss  0.853835, Average Loss  0.868244, Time  0.266446
2021-09-16 11:35:13.790968 : Epoch  5, Batch   1520, Loss  0.868987, Average Loss  0.868433, Time  0.238048
2021-09-16 11:35:15.977231 : Epoch  7, Batch   1373, Loss  0.866151, Average Loss  0.868122, Time  0.264678
2021-09-16 11:35:16.348661 : Epoch  5, Batch   1521, Loss  0.869732, Average Loss  0.868485, Time  0.238048
2021-09-16 11:35:18.911991 : Epoch  5, Batch   1522, Loss  0.857956, Average Loss  0.868455, Time  0.238565
2021-09-16 11:35:18.952074 : Epoch  7, Batch   1374, Loss  0.860641, Average Loss  0.868102, Time  0.265937
2021-09-16 11:35:21.481143 : Epoch  5, Batch   1523, Loss  0.886353, Average Loss  0.868480, Time  0.237920
2021-09-16 11:35:21.946532 : Epoch  7, Batch   1375, Loss  0.875191, Average Loss  0.868196, Time  0.263945
2021-09-16 11:35:24.046954 : Epoch  5, Batch   1524, Loss  0.862298, Average Loss  0.868363, Time  0.238294
2021-09-16 11:35:24.910471 : Epoch  7, Batch   1376, Loss  0.866979, Average Loss  0.868165, Time  0.263805
2021-09-16 11:35:26.614765 : Epoch  5, Batch   1525, Loss  0.882687, Average Loss  0.868447, Time  0.237854
2021-09-16 11:35:27.896092 : Epoch  7, Batch   1377, Loss  0.865636, Average Loss  0.868201, Time  0.264832
2021-09-16 11:35:29.191046 : Epoch  5, Batch   1526, Loss  0.863845, Average Loss  0.868363, Time  0.238309
2021-09-16 11:35:30.892732 : Epoch  7, Batch   1378, Loss  0.857817, Average Loss  0.868178, Time  0.264236
2021-09-16 11:35:31.753251 : Epoch  5, Batch   1527, Loss  0.865073, Average Loss  0.868394, Time  0.238590
2021-09-16 11:35:33.891175 : Epoch  7, Batch   1379, Loss  0.854479, Average Loss  0.868043, Time  0.265265
2021-09-16 11:35:34.314209 : Epoch  5, Batch   1528, Loss  0.859198, Average Loss  0.868374, Time  0.238011
2021-09-16 11:35:36.868195 : Epoch  5, Batch   1529, Loss  0.854156, Average Loss  0.868263, Time  0.238089
2021-09-16 11:35:36.887532 : Epoch  7, Batch   1380, Loss  0.876820, Average Loss  0.868232, Time  0.263994
2021-09-16 11:35:39.431294 : Epoch  5, Batch   1530, Loss  0.866692, Average Loss  0.868197, Time  0.238581
2021-09-16 11:35:39.847104 : Epoch  7, Batch   1381, Loss  0.863537, Average Loss  0.868127, Time  0.264469
2021-09-16 11:35:42.000961 : Epoch  5, Batch   1531, Loss  0.876567, Average Loss  0.868221, Time  0.238608
2021-09-16 11:35:42.820714 : Epoch  7, Batch   1382, Loss  0.879270, Average Loss  0.868114, Time  0.276443
2021-09-16 11:35:44.568991 : Epoch  5, Batch   1532, Loss  0.880391, Average Loss  0.868266, Time  0.238439
2021-09-16 11:35:45.811588 : Epoch  7, Batch   1383, Loss  0.890588, Average Loss  0.868081, Time  0.265150
2021-09-16 11:35:47.146030 : Epoch  5, Batch   1533, Loss  0.872258, Average Loss  0.868353, Time  0.238288
2021-09-16 11:35:48.795632 : Epoch  7, Batch   1384, Loss  0.884383, Average Loss  0.868090, Time  0.264238
2021-09-16 11:35:49.719008 : Epoch  5, Batch   1534, Loss  0.879049, Average Loss  0.868375, Time  0.237982
2021-09-16 11:35:51.765599 : Epoch  7, Batch   1385, Loss  0.858807, Average Loss  0.868051, Time  0.264394
2021-09-16 11:35:52.286906 : Epoch  5, Batch   1535, Loss  0.869148, Average Loss  0.868340, Time  0.238259
2021-09-16 11:35:54.753827 : Epoch  7, Batch   1386, Loss  0.860002, Average Loss  0.868071, Time  0.263594
2021-09-16 11:35:54.841168 : Epoch  5, Batch   1536, Loss  0.866262, Average Loss  0.868420, Time  0.238316
2021-09-16 11:35:57.387018 : Epoch  5, Batch   1537, Loss  0.885347, Average Loss  0.868436, Time  0.238393
2021-09-16 11:35:57.753350 : Epoch  7, Batch   1387, Loss  0.866505, Average Loss  0.868059, Time  0.264232
2021-09-16 11:35:59.968761 : Epoch  5, Batch   1538, Loss  0.880481, Average Loss  0.868492, Time  0.238451
2021-09-16 11:36:00.710769 : Epoch  7, Batch   1388, Loss  0.868109, Average Loss  0.868026, Time  0.265516
2021-09-16 11:36:02.528989 : Epoch  5, Batch   1539, Loss  0.864349, Average Loss  0.868460, Time  0.238211
2021-09-16 11:36:03.717478 : Epoch  7, Batch   1389, Loss  0.879306, Average Loss  0.868179, Time  0.264962
2021-09-16 11:36:05.105706 : Epoch  5, Batch   1540, Loss  0.884581, Average Loss  0.868570, Time  0.239323
2021-09-16 11:36:06.693653 : Epoch  7, Batch   1390, Loss  0.861518, Average Loss  0.868111, Time  0.264821
2021-09-16 11:36:07.678030 : Epoch  5, Batch   1541, Loss  0.854800, Average Loss  0.868608, Time  0.238648
2021-09-16 11:36:09.711160 : Epoch  7, Batch   1391, Loss  0.869182, Average Loss  0.868046, Time  0.265034
2021-09-16 11:36:10.255827 : Epoch  5, Batch   1542, Loss  0.879257, Average Loss  0.868697, Time  0.240115
2021-09-16 11:36:12.690129 : Epoch  7, Batch   1392, Loss  0.877604, Average Loss  0.868147, Time  0.264403
2021-09-16 11:36:12.834718 : Epoch  5, Batch   1543, Loss  0.860457, Average Loss  0.868694, Time  0.238721
2021-09-16 11:36:15.390927 : Epoch  5, Batch   1544, Loss  0.874383, Average Loss  0.868813, Time  0.238369
2021-09-16 11:36:15.649316 : Epoch  7, Batch   1393, Loss  0.869817, Average Loss  0.868217, Time  0.265564
2021-09-16 11:36:17.986926 : Epoch  5, Batch   1545, Loss  0.853762, Average Loss  0.868677, Time  0.238287
2021-09-16 11:36:18.612353 : Epoch  7, Batch   1394, Loss  0.885742, Average Loss  0.868362, Time  0.264147
2021-09-16 11:36:20.559135 : Epoch  5, Batch   1546, Loss  0.863485, Average Loss  0.868603, Time  0.238410
2021-09-16 11:36:21.590436 : Epoch  7, Batch   1395, Loss  0.861845, Average Loss  0.868336, Time  0.264764
2021-09-16 11:36:23.122743 : Epoch  5, Batch   1547, Loss  0.868985, Average Loss  0.868575, Time  0.238338
2021-09-16 11:36:24.559139 : Epoch  7, Batch   1396, Loss  0.889677, Average Loss  0.868480, Time  0.264161
2021-09-16 11:36:25.694705 : Epoch  5, Batch   1548, Loss  0.868182, Average Loss  0.868542, Time  0.238096
2021-09-16 11:36:27.547974 : Epoch  7, Batch   1397, Loss  0.859510, Average Loss  0.868378, Time  0.265251
2021-09-16 11:36:28.256682 : Epoch  5, Batch   1549, Loss  0.868267, Average Loss  0.868596, Time  0.238134
2021-09-16 11:36:30.550995 : Epoch  7, Batch   1398, Loss  0.876460, Average Loss  0.868420, Time  0.270675
2021-09-16 11:36:30.837196 : Epoch  5, Batch   1550, Loss  0.871725, Average Loss  0.868622, Time  0.238004
2021-09-16 11:36:33.381954 : Epoch  5, Batch   1551, Loss  0.868180, Average Loss  0.868533, Time  0.238187
2021-09-16 11:36:33.519096 : Epoch  7, Batch   1399, Loss  0.867020, Average Loss  0.868423, Time  0.263929
2021-09-16 11:36:35.964844 : Epoch  5, Batch   1552, Loss  0.865862, Average Loss  0.868555, Time  0.238250
2021-09-16 11:36:36.479919 : Epoch  7, Batch   1400, Loss  0.862368, Average Loss  0.868317, Time  0.263974
2021-09-16 11:36:38.532722 : Epoch  5, Batch   1553, Loss  0.865219, Average Loss  0.868563, Time  0.237948
2021-09-16 11:36:39.436021 : Epoch  7, Batch   1401, Loss  0.865331, Average Loss  0.868286, Time  0.263898
2021-09-16 11:36:41.099952 : Epoch  5, Batch   1554, Loss  0.872990, Average Loss  0.868558, Time  0.237974
2021-09-16 11:36:42.405570 : Epoch  7, Batch   1402, Loss  0.863775, Average Loss  0.868269, Time  0.264290
2021-09-16 11:36:43.675944 : Epoch  5, Batch   1555, Loss  0.868918, Average Loss  0.868560, Time  0.238067
2021-09-16 11:36:45.394959 : Epoch  7, Batch   1403, Loss  0.856048, Average Loss  0.868224, Time  0.265771
2021-09-16 11:36:46.242963 : Epoch  5, Batch   1556, Loss  0.866670, Average Loss  0.868525, Time  0.238277
2021-09-16 11:36:48.445453 : Epoch  7, Batch   1404, Loss  0.858664, Average Loss  0.868137, Time  0.263990
2021-09-16 11:36:48.814158 : Epoch  5, Batch   1557, Loss  0.865054, Average Loss  0.868484, Time  0.238283
2021-09-16 11:36:51.354921 : Epoch  5, Batch   1558, Loss  0.879116, Average Loss  0.868543, Time  0.237948
2021-09-16 11:36:51.423177 : Epoch  7, Batch   1405, Loss  0.870645, Average Loss  0.868226, Time  0.263828
2021-09-16 11:36:53.943340 : Epoch  5, Batch   1559, Loss  0.863725, Average Loss  0.868548, Time  0.237813
2021-09-16 11:36:54.418964 : Epoch  7, Batch   1406, Loss  0.865178, Average Loss  0.868172, Time  0.264558
2021-09-16 11:36:56.525882 : Epoch  5, Batch   1560, Loss  0.860913, Average Loss  0.868462, Time  0.237991
2021-09-16 11:36:57.369567 : Epoch  7, Batch   1407, Loss  0.872331, Average Loss  0.868326, Time  0.265599
2021-09-16 11:36:59.097700 : Epoch  5, Batch   1561, Loss  0.866101, Average Loss  0.868498, Time  0.238357
2021-09-16 11:37:00.355695 : Epoch  7, Batch   1408, Loss  0.863609, Average Loss  0.868284, Time  0.264673
2021-09-16 11:37:01.661957 : Epoch  5, Batch   1562, Loss  0.878202, Average Loss  0.868553, Time  0.238223
2021-09-16 11:37:03.332034 : Epoch  7, Batch   1409, Loss  0.855075, Average Loss  0.868248, Time  0.264053
2021-09-16 11:37:04.238194 : Epoch  5, Batch   1563, Loss  0.852300, Average Loss  0.868443, Time  0.239108
2021-09-16 11:37:06.329294 : Epoch  7, Batch   1410, Loss  0.874027, Average Loss  0.868212, Time  0.265096
2021-09-16 11:37:06.800086 : Epoch  5, Batch   1564, Loss  0.896225, Average Loss  0.868610, Time  0.238037
2021-09-16 11:37:09.308268 : Epoch  7, Batch   1411, Loss  0.863479, Average Loss  0.868195, Time  0.264573
2021-09-16 11:37:09.365038 : Epoch  5, Batch   1565, Loss  0.857398, Average Loss  0.868520, Time  0.238613
2021-09-16 11:37:11.910694 : Epoch  5, Batch   1566, Loss  0.853029, Average Loss  0.868480, Time  0.239372
2021-09-16 11:37:12.305453 : Epoch  7, Batch   1412, Loss  0.869353, Average Loss  0.868127, Time  0.263434
2021-09-16 11:37:14.478266 : Epoch  5, Batch   1567, Loss  0.849494, Average Loss  0.868432, Time  0.238045
2021-09-16 11:37:15.276803 : Epoch  7, Batch   1413, Loss  0.860700, Average Loss  0.868168, Time  0.278125
2021-09-16 11:37:17.056701 : Epoch  5, Batch   1568, Loss  0.857376, Average Loss  0.868434, Time  0.238073
2021-09-16 11:37:18.277548 : Epoch  7, Batch   1414, Loss  0.872633, Average Loss  0.868211, Time  0.265139
2021-09-16 11:37:19.628789 : Epoch  5, Batch   1569, Loss  0.854979, Average Loss  0.868354, Time  0.239137
2021-09-16 11:37:21.332513 : Epoch  7, Batch   1415, Loss  0.882862, Average Loss  0.868150, Time  0.264777
2021-09-16 11:37:22.195739 : Epoch  5, Batch   1570, Loss  0.862790, Average Loss  0.868353, Time  0.238251
2021-09-16 11:37:24.401553 : Epoch  7, Batch   1416, Loss  0.854674, Average Loss  0.868115, Time  0.264295
2021-09-16 11:37:24.764033 : Epoch  5, Batch   1571, Loss  0.881139, Average Loss  0.868392, Time  0.238717
2021-09-16 11:37:27.311068 : Epoch  5, Batch   1572, Loss  0.879656, Average Loss  0.868322, Time  0.238095
2021-09-16 11:37:27.361184 : Epoch  7, Batch   1417, Loss  0.846418, Average Loss  0.868039, Time  0.265385
2021-09-16 11:37:29.871724 : Epoch  5, Batch   1573, Loss  0.867394, Average Loss  0.868453, Time  0.238049
2021-09-16 11:37:30.318607 : Epoch  7, Batch   1418, Loss  0.869135, Average Loss  0.868053, Time  0.264027
2021-09-16 11:37:32.435791 : Epoch  5, Batch   1574, Loss  0.881625, Average Loss  0.868480, Time  0.238109
2021-09-16 11:37:33.269198 : Epoch  7, Batch   1419, Loss  0.867650, Average Loss  0.867967, Time  0.264761
2021-09-16 11:37:35.008742 : Epoch  5, Batch   1575, Loss  0.855719, Average Loss  0.868408, Time  0.238169
2021-09-16 11:37:36.238249 : Epoch  7, Batch   1420, Loss  0.865681, Average Loss  0.868033, Time  0.264611
2021-09-16 11:37:39.172262 : Epoch  7, Batch   1421, Loss  0.864755, Average Loss  0.867990, Time  0.263361
2021-09-16 11:37:42.125312 : Epoch  7, Batch   1422, Loss  0.859646, Average Loss  0.867959, Time  0.264867
2021-09-16 11:37:45.098426 : Epoch  7, Batch   1423, Loss  0.857015, Average Loss  0.867820, Time  0.264427
2021-09-16 11:37:46.337264 : Epoch  5, Batch   1576, Loss  0.862737, Average Loss  0.868313, Time  0.272828
2021-09-16 11:37:48.085181 : Epoch  7, Batch   1424, Loss  0.866093, Average Loss  0.867927, Time  0.262990
2021-09-16 11:37:51.032019 : Epoch  7, Batch   1425, Loss  0.874793, Average Loss  0.867991, Time  0.265093
2021-09-16 11:37:54.015371 : Epoch  7, Batch   1426, Loss  0.851833, Average Loss  0.867801, Time  0.264689
2021-09-16 11:37:56.966508 : Epoch  7, Batch   1427, Loss  0.843725, Average Loss  0.867702, Time  0.264421
2021-09-16 11:37:59.987533 : Epoch  7, Batch   1428, Loss  0.871479, Average Loss  0.867728, Time  0.278762
2021-09-16 11:38:02.949823 : Epoch  7, Batch   1429, Loss  0.893444, Average Loss  0.868004, Time  0.265174
2021-09-16 11:38:05.961683 : Epoch  7, Batch   1430, Loss  0.866362, Average Loss  0.867959, Time  0.264959
2021-09-16 11:38:08.947968 : Epoch  7, Batch   1431, Loss  0.872754, Average Loss  0.867885, Time  0.263649
2021-09-16 11:38:11.896748 : Epoch  7, Batch   1432, Loss  0.848314, Average Loss  0.867794, Time  0.264453
2021-09-16 11:38:14.891483 : Epoch  7, Batch   1433, Loss  0.843607, Average Loss  0.867747, Time  0.264518
2021-09-16 11:38:17.865553 : Epoch  7, Batch   1434, Loss  0.874250, Average Loss  0.867756, Time  0.267198
2021-09-16 11:38:20.850187 : Epoch  7, Batch   1435, Loss  0.860545, Average Loss  0.867716, Time  0.265467
2021-09-16 11:38:23.845275 : Epoch  7, Batch   1436, Loss  0.872198, Average Loss  0.867827, Time  0.264397
2021-09-16 11:38:26.816358 : Epoch  7, Batch   1437, Loss  0.863563, Average Loss  0.867912, Time  0.265008
2021-09-16 11:38:29.804146 : Epoch  7, Batch   1438, Loss  0.872672, Average Loss  0.867954, Time  0.264723
2021-09-16 11:38:32.788412 : Epoch  7, Batch   1439, Loss  0.848440, Average Loss  0.867783, Time  0.264457
2021-09-16 11:38:35.750168 : Epoch  7, Batch   1440, Loss  0.871852, Average Loss  0.867804, Time  0.263989
2021-09-16 11:38:38.712950 : Epoch  7, Batch   1441, Loss  0.887927, Average Loss  0.867827, Time  0.263823
2021-09-16 11:38:41.680504 : Epoch  7, Batch   1442, Loss  0.877116, Average Loss  0.867834, Time  0.264719
2021-09-16 11:38:44.680639 : Epoch  7, Batch   1443, Loss  0.847143, Average Loss  0.867716, Time  0.264295
2021-09-16 11:38:47.651529 : Epoch  7, Batch   1444, Loss  0.860475, Average Loss  0.867671, Time  0.275706
2021-09-16 11:38:50.617498 : Epoch  7, Batch   1445, Loss  0.858395, Average Loss  0.867496, Time  0.264936
2021-09-16 11:38:53.612300 : Epoch  7, Batch   1446, Loss  0.871106, Average Loss  0.867567, Time  0.264614
2021-09-16 11:38:56.592029 : Epoch  7, Batch   1447, Loss  0.857197, Average Loss  0.867661, Time  0.264817
2021-09-16 11:38:59.591205 : Epoch  7, Batch   1448, Loss  0.878603, Average Loss  0.867755, Time  0.264970
2021-09-16 11:39:02.558860 : Epoch  7, Batch   1449, Loss  0.869339, Average Loss  0.867773, Time  0.263916
2021-09-16 11:39:05.524206 : Epoch  7, Batch   1450, Loss  0.871200, Average Loss  0.867873, Time  0.264039
2021-09-16 11:39:08.489399 : Epoch  7, Batch   1451, Loss  0.878701, Average Loss  0.867961, Time  0.265950
2021-09-16 11:39:11.505821 : Epoch  7, Batch   1452, Loss  0.867536, Average Loss  0.868084, Time  0.264203
2021-09-16 11:39:14.479937 : Epoch  7, Batch   1453, Loss  0.875334, Average Loss  0.868105, Time  0.264828
2021-09-16 11:39:17.442025 : Epoch  7, Batch   1454, Loss  0.879443, Average Loss  0.868134, Time  0.265479
2021-09-16 11:39:20.415496 : Epoch  7, Batch   1455, Loss  0.879812, Average Loss  0.868201, Time  0.264807
2021-09-16 11:39:23.423835 : Epoch  7, Batch   1456, Loss  0.882231, Average Loss  0.868331, Time  0.265389
2021-09-16 11:39:26.406839 : Epoch  7, Batch   1457, Loss  0.875057, Average Loss  0.868236, Time  0.264241
2021-09-16 11:39:29.386214 : Epoch  7, Batch   1458, Loss  0.885001, Average Loss  0.868360, Time  0.266152
2021-09-16 11:39:32.460966 : Epoch  7, Batch   1459, Loss  0.883399, Average Loss  0.868429, Time  0.276282
2021-09-16 11:39:35.463863 : Epoch  7, Batch   1460, Loss  0.880909, Average Loss  0.868606, Time  0.265842
2021-09-16 11:39:38.477032 : Epoch  7, Batch   1461, Loss  0.852248, Average Loss  0.868604, Time  0.266253
2021-09-16 11:39:41.444111 : Epoch  7, Batch   1462, Loss  0.858910, Average Loss  0.868553, Time  0.263951
2021-09-16 11:39:44.427106 : Epoch  7, Batch   1463, Loss  0.859733, Average Loss  0.868490, Time  0.265275
2021-09-16 11:39:47.453762 : Epoch  7, Batch   1464, Loss  0.867805, Average Loss  0.868466, Time  0.264662
2021-09-16 11:41:44.904542 : CheckPoint: Validation Loss  0.00029207, Best Loss  0.00029207
2021-09-16 11:41:44.941240 : Best Model Updated
2021-09-16 11:41:48.274882 : Epoch  5, Batch   1577, Loss  0.858011, Average Loss  0.868318, Time  0.239686
2021-09-16 11:41:50.841932 : Epoch  5, Batch   1578, Loss  0.867052, Average Loss  0.868389, Time  0.238241
2021-09-16 11:41:53.414770 : Epoch  5, Batch   1579, Loss  0.871652, Average Loss  0.868362, Time  0.238230
2021-09-16 11:41:56.052668 : Epoch  5, Batch   1580, Loss  0.880193, Average Loss  0.868369, Time  0.260485
2021-09-16 11:41:58.625726 : Epoch  5, Batch   1581, Loss  0.878940, Average Loss  0.868457, Time  0.238166
2021-09-16 11:42:01.199132 : Epoch  5, Batch   1582, Loss  0.860526, Average Loss  0.868465, Time  0.239153
2021-09-16 11:42:03.769927 : Epoch  5, Batch   1583, Loss  0.866526, Average Loss  0.868492, Time  0.238005
2021-09-16 11:42:06.345817 : Epoch  5, Batch   1584, Loss  0.854191, Average Loss  0.868381, Time  0.238079
2021-09-16 11:42:08.913868 : Epoch  5, Batch   1585, Loss  0.885553, Average Loss  0.868446, Time  0.238156
2021-09-16 11:42:11.493882 : Epoch  5, Batch   1586, Loss  0.859708, Average Loss  0.868354, Time  0.238250
2021-09-16 11:42:14.053965 : Epoch  5, Batch   1587, Loss  0.863382, Average Loss  0.868382, Time  0.238310
2021-09-16 11:42:16.611947 : Epoch  5, Batch   1588, Loss  0.861643, Average Loss  0.868231, Time  0.238159
2021-09-16 11:42:19.177744 : Epoch  5, Batch   1589, Loss  0.876101, Average Loss  0.868260, Time  0.237987
2021-09-16 11:42:21.744710 : Epoch  5, Batch   1590, Loss  0.873964, Average Loss  0.868213, Time  0.238210
2021-09-16 11:42:24.302893 : Epoch  5, Batch   1591, Loss  0.872792, Average Loss  0.868126, Time  0.238045
2021-09-16 11:42:26.866150 : Epoch  5, Batch   1592, Loss  0.865233, Average Loss  0.868098, Time  0.238583
2021-09-16 11:42:29.422102 : Epoch  5, Batch   1593, Loss  0.869572, Average Loss  0.868144, Time  0.237956
2021-09-16 11:42:31.983952 : Epoch  5, Batch   1594, Loss  0.872244, Average Loss  0.868249, Time  0.237922
2021-09-16 11:42:34.541880 : Epoch  5, Batch   1595, Loss  0.872345, Average Loss  0.868267, Time  0.237956
2021-09-16 11:42:37.103869 : Epoch  5, Batch   1596, Loss  0.880558, Average Loss  0.868349, Time  0.237990
2021-09-16 11:42:39.668852 : Epoch  5, Batch   1597, Loss  0.863045, Average Loss  0.868239, Time  0.239736
2021-09-16 11:42:42.235944 : Epoch  5, Batch   1598, Loss  0.868201, Average Loss  0.868286, Time  0.238122
2021-09-16 11:42:44.797735 : Epoch  5, Batch   1599, Loss  0.889470, Average Loss  0.868335, Time  0.239182
2021-09-16 11:42:47.371153 : Epoch  5, Batch   1600, Loss  0.874250, Average Loss  0.868457, Time  0.239062
2021-09-16 11:42:49.933689 : Epoch  5, Batch   1601, Loss  0.860287, Average Loss  0.868431, Time  0.238152
2021-09-16 11:42:52.506696 : Epoch  5, Batch   1602, Loss  0.856373, Average Loss  0.868451, Time  0.238805
2021-09-16 11:42:55.075061 : Epoch  5, Batch   1603, Loss  0.867369, Average Loss  0.868488, Time  0.238162
2021-09-16 11:42:57.635128 : Epoch  5, Batch   1604, Loss  0.878187, Average Loss  0.868677, Time  0.238416
2021-09-16 11:43:00.205754 : Epoch  5, Batch   1605, Loss  0.875266, Average Loss  0.868734, Time  0.238471
2021-09-16 11:43:02.764897 : Epoch  5, Batch   1606, Loss  0.860512, Average Loss  0.868701, Time  0.237995
2021-09-16 11:43:05.324812 : Epoch  5, Batch   1607, Loss  0.874735, Average Loss  0.868700, Time  0.239024
2021-09-16 11:43:07.899868 : Epoch  5, Batch   1608, Loss  0.880467, Average Loss  0.868747, Time  0.238648
2021-09-16 11:43:10.465101 : Epoch  5, Batch   1609, Loss  0.855662, Average Loss  0.868665, Time  0.238013
2021-09-16 11:43:13.038939 : Epoch  5, Batch   1610, Loss  0.864063, Average Loss  0.868608, Time  0.237943
2021-09-16 11:43:15.596689 : Epoch  5, Batch   1611, Loss  0.869002, Average Loss  0.868495, Time  0.238003
2021-09-16 11:43:18.174876 : Epoch  5, Batch   1612, Loss  0.863834, Average Loss  0.868548, Time  0.238435
2021-09-16 11:43:20.748906 : Epoch  5, Batch   1613, Loss  0.877110, Average Loss  0.868585, Time  0.238243
2021-09-16 11:43:23.322915 : Epoch  5, Batch   1614, Loss  0.872553, Average Loss  0.868666, Time  0.238398
2021-09-16 11:43:25.894070 : Epoch  5, Batch   1615, Loss  0.860269, Average Loss  0.868579, Time  0.238394
2021-09-16 11:43:28.457884 : Epoch  5, Batch   1616, Loss  0.873839, Average Loss  0.868447, Time  0.238382
2021-09-16 11:43:31.022809 : Epoch  5, Batch   1617, Loss  0.878194, Average Loss  0.868619, Time  0.237946
2021-09-16 11:43:33.593144 : Epoch  5, Batch   1618, Loss  0.880966, Average Loss  0.868620, Time  0.239051
2021-09-16 11:43:36.162959 : Epoch  5, Batch   1619, Loss  0.854492, Average Loss  0.868536, Time  0.237971
2021-09-16 11:43:38.736943 : Epoch  5, Batch   1620, Loss  0.898686, Average Loss  0.868620, Time  0.238507
2021-09-16 11:43:41.310031 : Epoch  5, Batch   1621, Loss  0.870581, Average Loss  0.868649, Time  0.239360
2021-09-16 11:43:43.893800 : Epoch  5, Batch   1622, Loss  0.888434, Average Loss  0.868840, Time  0.238492
2021-09-16 11:43:46.466998 : Epoch  5, Batch   1623, Loss  0.874639, Average Loss  0.868997, Time  0.238978
2021-09-16 11:43:49.029717 : Epoch  5, Batch   1624, Loss  0.863549, Average Loss  0.868854, Time  0.238199
2021-09-16 11:43:51.603886 : Epoch  5, Batch   1625, Loss  0.847723, Average Loss  0.868705, Time  0.238526
2021-09-16 11:43:54.172713 : Epoch  5, Batch   1626, Loss  0.884547, Average Loss  0.868834, Time  0.238168
2021-09-16 11:43:56.739998 : Epoch  5, Batch   1627, Loss  0.886669, Average Loss  0.868922, Time  0.238410
2021-09-16 11:43:59.353139 : Epoch  5, Batch   1628, Loss  0.869525, Average Loss  0.868978, Time  0.237924
2021-09-16 11:44:01.927125 : Epoch  5, Batch   1629, Loss  0.861223, Average Loss  0.868903, Time  0.238061
2021-09-16 11:44:04.492961 : Epoch  5, Batch   1630, Loss  0.870229, Average Loss  0.868900, Time  0.237991
2021-09-16 11:44:07.057070 : Epoch  5, Batch   1631, Loss  0.886619, Average Loss  0.869065, Time  0.238184
2021-09-16 11:44:09.623999 : Epoch  5, Batch   1632, Loss  0.874536, Average Loss  0.869024, Time  0.239026
2021-09-16 11:44:12.194720 : Epoch  5, Batch   1633, Loss  0.875918, Average Loss  0.868943, Time  0.237983
2021-09-16 11:44:14.769951 : Epoch  5, Batch   1634, Loss  0.875201, Average Loss  0.869011, Time  0.238121
2021-09-16 11:44:17.366783 : Epoch  5, Batch   1635, Loss  0.852795, Average Loss  0.868947, Time  0.246486
2021-09-16 11:44:19.935931 : Epoch  5, Batch   1636, Loss  0.874245, Average Loss  0.868967, Time  0.237986
2021-09-16 11:44:22.527972 : Epoch  5, Batch   1637, Loss  0.877202, Average Loss  0.868999, Time  0.238044
2021-09-16 11:44:25.092928 : Epoch  5, Batch   1638, Loss  0.861932, Average Loss  0.869001, Time  0.238548
2021-09-16 11:44:25.504193 : CheckPoint: Validation Loss  0.00029863, Best Loss  0.00029295
2021-09-16 11:44:27.656533 : Epoch  5, Batch   1639, Loss  0.862683, Average Loss  0.868965, Time  0.238134
2021-09-16 11:44:28.484018 : Epoch  7, Batch   1465, Loss  0.857119, Average Loss  0.868425, Time  0.266285
2021-09-16 11:44:30.233903 : Epoch  5, Batch   1640, Loss  0.861784, Average Loss  0.869013, Time  0.238322
2021-09-16 11:44:31.478388 : Epoch  7, Batch   1466, Loss  0.876600, Average Loss  0.868497, Time  0.263814
2021-09-16 11:44:32.804724 : Epoch  5, Batch   1641, Loss  0.872967, Average Loss  0.869122, Time  0.237851
2021-09-16 11:44:34.484654 : Epoch  7, Batch   1467, Loss  0.860872, Average Loss  0.868375, Time  0.265843
2021-09-16 11:44:35.365116 : Epoch  5, Batch   1642, Loss  0.867437, Average Loss  0.869104, Time  0.238138
2021-09-16 11:44:37.463727 : Epoch  7, Batch   1468, Loss  0.862488, Average Loss  0.868268, Time  0.265499
2021-09-16 11:44:37.931676 : Epoch  5, Batch   1643, Loss  0.853035, Average Loss  0.869009, Time  0.238283
2021-09-16 11:44:40.441937 : Epoch  7, Batch   1469, Loss  0.852715, Average Loss  0.868187, Time  0.264092
2021-09-16 11:44:40.495016 : Epoch  5, Batch   1644, Loss  0.880983, Average Loss  0.869148, Time  0.239131
2021-09-16 11:44:43.054976 : Epoch  5, Batch   1645, Loss  0.893361, Average Loss  0.869167, Time  0.238081
2021-09-16 11:44:43.433695 : Epoch  7, Batch   1470, Loss  0.892439, Average Loss  0.868227, Time  0.264655
2021-09-16 11:44:45.633048 : Epoch  5, Batch   1646, Loss  0.869173, Average Loss  0.869138, Time  0.238737
2021-09-16 11:44:46.419365 : Epoch  7, Batch   1471, Loss  0.894433, Average Loss  0.868358, Time  0.264838
2021-09-16 11:44:48.217715 : Epoch  5, Batch   1647, Loss  0.856547, Average Loss  0.869170, Time  0.238775
2021-09-16 11:44:49.386954 : Epoch  7, Batch   1472, Loss  0.876165, Average Loss  0.868434, Time  0.266083
2021-09-16 11:44:50.793705 : Epoch  5, Batch   1648, Loss  0.863806, Average Loss  0.869129, Time  0.238260
2021-09-16 11:44:52.375382 : Epoch  7, Batch   1473, Loss  0.852350, Average Loss  0.868422, Time  0.264446
2021-09-16 11:44:53.363929 : Epoch  5, Batch   1649, Loss  0.873892, Average Loss  0.869260, Time  0.239050
2021-09-16 11:44:55.352627 : Epoch  7, Batch   1474, Loss  0.887012, Average Loss  0.868550, Time  0.278275
2021-09-16 11:44:55.943795 : Epoch  5, Batch   1650, Loss  0.885676, Average Loss  0.869323, Time  0.238497
2021-09-16 11:44:58.329117 : Epoch  7, Batch   1475, Loss  0.852480, Average Loss  0.868432, Time  0.264094
2021-09-16 11:44:58.545699 : Epoch  5, Batch   1651, Loss  0.872228, Average Loss  0.869334, Time  0.237775
2021-09-16 11:45:01.106864 : Epoch  5, Batch   1652, Loss  0.863592, Average Loss  0.869370, Time  0.238320
2021-09-16 11:45:01.287040 : Epoch  7, Batch   1476, Loss  0.882058, Average Loss  0.868458, Time  0.264211
2021-09-16 11:45:03.679030 : Epoch  5, Batch   1653, Loss  0.875293, Average Loss  0.869417, Time  0.237950
2021-09-16 11:45:04.263405 : Epoch  7, Batch   1477, Loss  0.873097, Average Loss  0.868550, Time  0.264694
2021-09-16 11:45:06.285035 : Epoch  5, Batch   1654, Loss  0.887075, Average Loss  0.869497, Time  0.238964
2021-09-16 11:45:07.259953 : Epoch  7, Batch   1478, Loss  0.843628, Average Loss  0.868357, Time  0.265116
2021-09-16 11:45:08.847222 : Epoch  5, Batch   1655, Loss  0.861938, Average Loss  0.869480, Time  0.238129
2021-09-16 11:45:10.222977 : Epoch  7, Batch   1479, Loss  0.878843, Average Loss  0.868364, Time  0.264981
2021-09-16 11:45:11.417799 : Epoch  5, Batch   1656, Loss  0.853911, Average Loss  0.869490, Time  0.238030
2021-09-16 11:45:13.189860 : Epoch  7, Batch   1480, Loss  0.870206, Average Loss  0.868542, Time  0.264717
2021-09-16 11:45:13.988410 : Epoch  5, Batch   1657, Loss  0.887690, Average Loss  0.869687, Time  0.239100
2021-09-16 11:45:16.144730 : Epoch  7, Batch   1481, Loss  0.887232, Average Loss  0.868678, Time  0.263672
2021-09-16 11:45:16.552216 : Epoch  5, Batch   1658, Loss  0.895334, Average Loss  0.869843, Time  0.238135
2021-09-16 11:45:19.109155 : Epoch  7, Batch   1482, Loss  0.854237, Average Loss  0.868635, Time  0.264683
2021-09-16 11:45:19.147575 : Epoch  5, Batch   1659, Loss  0.893852, Average Loss  0.869958, Time  0.238107
2021-09-16 11:45:21.736848 : Epoch  5, Batch   1660, Loss  0.874500, Average Loss  0.869981, Time  0.238223
2021-09-16 11:45:22.103110 : Epoch  7, Batch   1483, Loss  0.872787, Average Loss  0.868658, Time  0.264357
2021-09-16 11:45:24.328925 : Epoch  5, Batch   1661, Loss  0.858994, Average Loss  0.869937, Time  0.238254
2021-09-16 11:45:25.066031 : Epoch  7, Batch   1484, Loss  0.882363, Average Loss  0.868652, Time  0.263972
2021-09-16 11:45:26.892979 : Epoch  5, Batch   1662, Loss  0.871648, Average Loss  0.869997, Time  0.238183
2021-09-16 11:45:28.058370 : Epoch  7, Batch   1485, Loss  0.883432, Average Loss  0.868734, Time  0.263661
2021-09-16 11:45:29.455973 : Epoch  5, Batch   1663, Loss  0.879794, Average Loss  0.870077, Time  0.238405
2021-09-16 11:45:31.023931 : Epoch  7, Batch   1486, Loss  0.859033, Average Loss  0.868662, Time  0.263688
2021-09-16 11:45:32.020896 : Epoch  5, Batch   1664, Loss  0.854869, Average Loss  0.869837, Time  0.238798
2021-09-16 11:45:33.991486 : Epoch  7, Batch   1487, Loss  0.857193, Average Loss  0.868650, Time  0.264794
2021-09-16 11:45:34.582949 : Epoch  5, Batch   1665, Loss  0.877486, Average Loss  0.869852, Time  0.238082
2021-09-16 11:45:37.005143 : Epoch  7, Batch   1488, Loss  0.878090, Average Loss  0.868757, Time  0.266691
2021-09-16 11:45:37.153714 : Epoch  5, Batch   1666, Loss  0.904324, Average Loss  0.870115, Time  0.238085
2021-09-16 11:45:39.721854 : Epoch  5, Batch   1667, Loss  0.849102, Average Loss  0.869998, Time  0.238352
2021-09-16 11:45:39.989282 : Epoch  7, Batch   1489, Loss  0.881716, Average Loss  0.868765, Time  0.274136
2021-09-16 11:45:42.284924 : Epoch  5, Batch   1668, Loss  0.878995, Average Loss  0.870205, Time  0.238720
2021-09-16 11:45:42.944790 : Epoch  7, Batch   1490, Loss  0.866661, Average Loss  0.868875, Time  0.265211
2021-09-16 11:45:44.850201 : Epoch  5, Batch   1669, Loss  0.861137, Average Loss  0.870157, Time  0.238163
2021-09-16 11:45:45.933544 : Epoch  7, Batch   1491, Loss  0.866695, Average Loss  0.868936, Time  0.264006
2021-09-16 11:45:47.446842 : Epoch  5, Batch   1670, Loss  0.857147, Average Loss  0.870005, Time  0.239130
2021-09-16 11:45:48.903105 : Epoch  7, Batch   1492, Loss  0.874782, Average Loss  0.869038, Time  0.264562
2021-09-16 11:45:50.012209 : Epoch  5, Batch   1671, Loss  0.866093, Average Loss  0.869979, Time  0.238227
2021-09-16 11:45:51.895504 : Epoch  7, Batch   1493, Loss  0.874053, Average Loss  0.868993, Time  0.266010
2021-09-16 11:45:52.586905 : Epoch  5, Batch   1672, Loss  0.882632, Average Loss  0.870023, Time  0.238279
2021-09-16 11:45:54.901462 : Epoch  7, Batch   1494, Loss  0.872620, Average Loss  0.868881, Time  0.264899
2021-09-16 11:45:55.200763 : Epoch  5, Batch   1673, Loss  0.894619, Average Loss  0.870124, Time  0.238276
2021-09-16 11:45:57.764890 : Epoch  5, Batch   1674, Loss  0.865444, Average Loss  0.870140, Time  0.238627
2021-09-16 11:45:57.876162 : Epoch  7, Batch   1495, Loss  0.873864, Average Loss  0.868887, Time  0.264469
2021-09-16 11:46:00.332945 : Epoch  5, Batch   1675, Loss  0.860901, Average Loss  0.870011, Time  0.238097
2021-09-16 11:46:00.829779 : Epoch  7, Batch   1496, Loss  0.874287, Average Loss  0.868881, Time  0.264314
2021-09-16 11:46:02.896701 : Epoch  5, Batch   1676, Loss  0.857805, Average Loss  0.870027, Time  0.237927
2021-09-16 11:46:03.791622 : Epoch  7, Batch   1497, Loss  0.904072, Average Loss  0.869079, Time  0.263373
2021-09-16 11:46:06.759602 : Epoch  7, Batch   1498, Loss  0.875608, Average Loss  0.869196, Time  0.265670
2021-09-16 11:46:09.787236 : Epoch  7, Batch   1499, Loss  0.866105, Average Loss  0.869228, Time  0.265517
2021-09-16 11:46:12.772082 : Epoch  7, Batch   1500, Loss  0.854675, Average Loss  0.869024, Time  0.264057
2021-09-16 11:46:15.736990 : Epoch  7, Batch   1501, Loss  0.862990, Average Loss  0.868970, Time  0.264195
2021-09-16 11:46:18.699800 : Epoch  7, Batch   1502, Loss  0.847283, Average Loss  0.868877, Time  0.264066
2021-09-16 11:46:21.658348 : Epoch  7, Batch   1503, Loss  0.874402, Average Loss  0.868860, Time  0.264211
2021-09-16 11:46:24.635515 : Epoch  7, Batch   1504, Loss  0.857384, Average Loss  0.868782, Time  0.264652
2021-09-16 11:46:27.622138 : Epoch  7, Batch   1505, Loss  0.859307, Average Loss  0.868837, Time  0.276351
2021-09-16 11:46:30.584989 : Epoch  7, Batch   1506, Loss  0.849836, Average Loss  0.868670, Time  0.264267
2021-09-16 11:46:33.574916 : Epoch  7, Batch   1507, Loss  0.870243, Average Loss  0.868634, Time  0.264919
2021-09-16 11:46:36.541623 : Epoch  7, Batch   1508, Loss  0.880769, Average Loss  0.868726, Time  0.263759
2021-09-16 11:46:39.522323 : Epoch  7, Batch   1509, Loss  0.846218, Average Loss  0.868551, Time  0.263809
2021-09-16 11:46:42.494359 : Epoch  7, Batch   1510, Loss  0.870154, Average Loss  0.868626, Time  0.264930
2021-09-16 11:46:45.422173 : Epoch  7, Batch   1511, Loss  0.864164, Average Loss  0.868648, Time  0.264621
2021-09-16 11:46:48.363170 : Epoch  7, Batch   1512, Loss  0.868794, Average Loss  0.868626, Time  0.265532
2021-09-16 11:46:51.332841 : Epoch  7, Batch   1513, Loss  0.848699, Average Loss  0.868488, Time  0.266136
2021-09-16 11:46:54.321965 : Epoch  7, Batch   1514, Loss  0.859964, Average Loss  0.868406, Time  0.264873
2021-09-16 11:46:57.289293 : Epoch  7, Batch   1515, Loss  0.856679, Average Loss  0.868351, Time  0.264427
2021-09-16 11:47:00.273147 : Epoch  7, Batch   1516, Loss  0.873312, Average Loss  0.868361, Time  0.264177
2021-09-16 11:47:03.243917 : Epoch  7, Batch   1517, Loss  0.873636, Average Loss  0.868433, Time  0.263624
2021-09-16 11:47:06.180977 : Epoch  7, Batch   1518, Loss  0.874457, Average Loss  0.868504, Time  0.264220
2021-09-16 11:47:09.134085 : Epoch  7, Batch   1519, Loss  0.861065, Average Loss  0.868433, Time  0.264554
2021-09-16 11:47:12.123017 : Epoch  7, Batch   1520, Loss  0.872228, Average Loss  0.868517, Time  0.270905
2021-09-16 11:47:15.072048 : Epoch  7, Batch   1521, Loss  0.868263, Average Loss  0.868506, Time  0.262366
2021-09-16 11:47:18.033388 : Epoch  7, Batch   1522, Loss  0.877467, Average Loss  0.868528, Time  0.265472
2021-09-16 11:47:20.998258 : Epoch  7, Batch   1523, Loss  0.839911, Average Loss  0.868374, Time  0.264794
2021-09-16 11:47:23.997628 : Epoch  7, Batch   1524, Loss  0.860397, Average Loss  0.868376, Time  0.265484
2021-09-16 11:47:26.962937 : Epoch  7, Batch   1525, Loss  0.877115, Average Loss  0.868508, Time  0.264046
2021-09-16 11:47:29.941937 : Epoch  7, Batch   1526, Loss  0.874956, Average Loss  0.868537, Time  0.263996
2021-09-16 11:47:32.925632 : Epoch  7, Batch   1527, Loss  0.854378, Average Loss  0.868412, Time  0.265563
2021-09-16 11:47:35.893708 : Epoch  7, Batch   1528, Loss  0.874904, Average Loss  0.868469, Time  0.263783
2021-09-16 11:47:38.869532 : Epoch  7, Batch   1529, Loss  0.890845, Average Loss  0.868613, Time  0.264277
2021-09-16 11:47:41.853163 : Epoch  7, Batch   1530, Loss  0.871283, Average Loss  0.868667, Time  0.265125
2021-09-16 11:47:44.861565 : Epoch  7, Batch   1531, Loss  0.877607, Average Loss  0.868675, Time  0.264373
2021-09-16 11:47:47.826955 : Epoch  7, Batch   1532, Loss  0.860756, Average Loss  0.868519, Time  0.264502
2021-09-16 11:47:50.821098 : Epoch  7, Batch   1533, Loss  0.875575, Average Loss  0.868637, Time  0.266296
2021-09-16 11:47:53.822216 : Epoch  7, Batch   1534, Loss  0.892054, Average Loss  0.868633, Time  0.266154
2021-09-16 11:47:56.810425 : Epoch  7, Batch   1535, Loss  0.867912, Average Loss  0.868619, Time  0.275656
2021-09-16 11:47:59.775806 : Epoch  7, Batch   1536, Loss  0.864293, Average Loss  0.868536, Time  0.264990
2021-09-16 11:48:02.753829 : Epoch  7, Batch   1537, Loss  0.857886, Average Loss  0.868578, Time  0.262872
2021-09-16 11:48:05.712119 : Epoch  7, Batch   1538, Loss  0.840417, Average Loss  0.868417, Time  0.264219
2021-09-16 11:48:08.696656 : Epoch  7, Batch   1539, Loss  0.870217, Average Loss  0.868497, Time  0.264961
2021-09-16 11:48:11.670548 : Epoch  7, Batch   1540, Loss  0.855003, Average Loss  0.868388, Time  0.263709
2021-09-16 11:48:14.687114 : Epoch  7, Batch   1541, Loss  0.872837, Average Loss  0.868450, Time  0.264933
2021-09-16 11:48:17.673123 : Epoch  7, Batch   1542, Loss  0.872335, Average Loss  0.868476, Time  0.264398
2021-09-16 11:48:20.654419 : Epoch  7, Batch   1543, Loss  0.872457, Average Loss  0.868494, Time  0.264424
2021-09-16 11:48:23.616980 : Epoch  7, Batch   1544, Loss  0.893538, Average Loss  0.868655, Time  0.265312
2021-09-16 11:48:26.595526 : Epoch  7, Batch   1545, Loss  0.861934, Average Loss  0.868593, Time  0.264789
2021-09-16 11:48:29.576853 : Epoch  7, Batch   1546, Loss  0.863130, Average Loss  0.868599, Time  0.263896
2021-09-16 11:48:32.544280 : Epoch  7, Batch   1547, Loss  0.874296, Average Loss  0.868689, Time  0.264226
2021-09-16 11:48:35.497677 : Epoch  7, Batch   1548, Loss  0.860183, Average Loss  0.868648, Time  0.262745
2021-09-16 11:48:38.472338 : Epoch  7, Batch   1549, Loss  0.869549, Average Loss  0.868718, Time  0.264840
2021-09-16 11:48:41.443128 : Epoch  7, Batch   1550, Loss  0.859228, Average Loss  0.868661, Time  0.264317
2021-09-16 11:48:44.416328 : Epoch  7, Batch   1551, Loss  0.891357, Average Loss  0.868829, Time  0.275860
2021-09-16 11:48:47.404171 : Epoch  7, Batch   1552, Loss  0.873790, Average Loss  0.868838, Time  0.264883
2021-09-16 11:48:50.416370 : Epoch  7, Batch   1553, Loss  0.862325, Average Loss  0.868788, Time  0.264536
2021-09-16 11:48:53.378690 : Epoch  7, Batch   1554, Loss  0.880780, Average Loss  0.868800, Time  0.265602
2021-09-16 11:48:56.339553 : Epoch  7, Batch   1555, Loss  0.872612, Average Loss  0.868817, Time  0.263746
2021-09-16 11:48:59.314227 : Epoch  7, Batch   1556, Loss  0.863247, Average Loss  0.868695, Time  0.264489
2021-09-16 11:49:02.296306 : Epoch  7, Batch   1557, Loss  0.862493, Average Loss  0.868676, Time  0.264256
2021-09-16 11:49:05.258676 : Epoch  7, Batch   1558, Loss  0.874313, Average Loss  0.868682, Time  0.264653
2021-09-16 11:49:08.227792 : Epoch  7, Batch   1559, Loss  0.878411, Average Loss  0.868715, Time  0.264132
2021-09-16 11:49:11.233438 : Epoch  7, Batch   1560, Loss  0.859234, Average Loss  0.868591, Time  0.264953
2021-09-16 11:49:14.200963 : Epoch  7, Batch   1561, Loss  0.859958, Average Loss  0.868503, Time  0.264877
2021-09-16 11:49:17.206225 : Epoch  7, Batch   1562, Loss  0.871510, Average Loss  0.868480, Time  0.264745
2021-09-16 11:49:20.202621 : Epoch  7, Batch   1563, Loss  0.877318, Average Loss  0.868491, Time  0.263807
2021-09-16 11:49:23.165411 : Epoch  7, Batch   1564, Loss  0.864909, Average Loss  0.868330, Time  0.264122
2021-09-16 11:50:04.504474 : CheckPoint: Validation Loss  0.00030270, Best Loss  0.00029207
2021-09-16 11:50:07.092871 : Epoch  5, Batch   1677, Loss  0.869341, Average Loss  0.869963, Time  0.239661
2021-09-16 11:50:09.679251 : Epoch  5, Batch   1678, Loss  0.856785, Average Loss  0.869930, Time  0.238476
2021-09-16 11:50:12.256863 : Epoch  5, Batch   1679, Loss  0.848447, Average Loss  0.869788, Time  0.238354
2021-09-16 11:50:14.833899 : Epoch  5, Batch   1680, Loss  0.899459, Average Loss  0.869914, Time  0.238589
2021-09-16 11:50:17.423040 : Epoch  5, Batch   1681, Loss  0.858707, Average Loss  0.869850, Time  0.238811
2021-09-16 11:50:20.009999 : Epoch  5, Batch   1682, Loss  0.871605, Average Loss  0.869872, Time  0.239294
2021-09-16 11:50:22.594931 : Epoch  5, Batch   1683, Loss  0.860951, Average Loss  0.869842, Time  0.238260
2021-09-16 11:50:25.180853 : Epoch  5, Batch   1684, Loss  0.841373, Average Loss  0.869821, Time  0.239381
2021-09-16 11:50:27.761095 : Epoch  5, Batch   1685, Loss  0.881030, Average Loss  0.869945, Time  0.238786
2021-09-16 11:50:30.337192 : Epoch  5, Batch   1686, Loss  0.879750, Average Loss  0.870050, Time  0.238382
2021-09-16 11:50:32.910182 : Epoch  5, Batch   1687, Loss  0.870232, Average Loss  0.869970, Time  0.238328
2021-09-16 11:50:35.497121 : Epoch  5, Batch   1688, Loss  0.889873, Average Loss  0.870044, Time  0.238596
2021-09-16 11:50:38.090058 : Epoch  5, Batch   1689, Loss  0.845013, Average Loss  0.869962, Time  0.238613
2021-09-16 11:50:40.669867 : Epoch  5, Batch   1690, Loss  0.869520, Average Loss  0.869887, Time  0.238717
2021-09-16 11:50:43.253268 : Epoch  5, Batch   1691, Loss  0.880895, Average Loss  0.869963, Time  0.238496
2021-09-16 11:50:45.839033 : Epoch  5, Batch   1692, Loss  0.859405, Average Loss  0.869940, Time  0.238668
2021-09-16 11:50:48.432051 : Epoch  5, Batch   1693, Loss  0.870269, Average Loss  0.869995, Time  0.238580
2021-09-16 11:50:51.010718 : Epoch  5, Batch   1694, Loss  0.855612, Average Loss  0.869964, Time  0.238239
2021-09-16 11:50:53.610996 : Epoch  5, Batch   1695, Loss  0.872157, Average Loss  0.870015, Time  0.238219
2021-09-16 11:50:56.190014 : Epoch  5, Batch   1696, Loss  0.873525, Average Loss  0.870045, Time  0.238230
2021-09-16 11:50:58.767040 : Epoch  5, Batch   1697, Loss  0.858316, Average Loss  0.869967, Time  0.238718
2021-09-16 11:51:01.356796 : Epoch  5, Batch   1698, Loss  0.853643, Average Loss  0.869840, Time  0.238543
2021-09-16 11:51:03.944692 : Epoch  5, Batch   1699, Loss  0.842216, Average Loss  0.869706, Time  0.238620
2021-09-16 11:51:06.528944 : Epoch  5, Batch   1700, Loss  0.868995, Average Loss  0.869687, Time  0.238183
2021-09-16 11:51:09.114341 : Epoch  5, Batch   1701, Loss  0.883023, Average Loss  0.869660, Time  0.239211
2021-09-16 11:51:11.687238 : Epoch  5, Batch   1702, Loss  0.876638, Average Loss  0.869751, Time  0.239241
2021-09-16 11:51:14.266785 : Epoch  5, Batch   1703, Loss  0.875555, Average Loss  0.869818, Time  0.238641
2021-09-16 11:51:16.847212 : Epoch  5, Batch   1704, Loss  0.859225, Average Loss  0.869748, Time  0.238361
2021-09-16 11:51:19.431142 : Epoch  5, Batch   1705, Loss  0.862226, Average Loss  0.869735, Time  0.239594
2021-09-16 11:51:22.017723 : Epoch  5, Batch   1706, Loss  0.847288, Average Loss  0.869605, Time  0.238591
2021-09-16 11:51:24.610999 : Epoch  5, Batch   1707, Loss  0.873799, Average Loss  0.869737, Time  0.239121
2021-09-16 11:51:27.211211 : Epoch  5, Batch   1708, Loss  0.881643, Average Loss  0.869776, Time  0.238747
2021-09-16 11:51:29.799303 : Epoch  5, Batch   1709, Loss  0.858153, Average Loss  0.869677, Time  0.238307
2021-09-16 11:51:32.375754 : Epoch  5, Batch   1710, Loss  0.871930, Average Loss  0.869686, Time  0.238638
2021-09-16 11:51:34.966803 : Epoch  5, Batch   1711, Loss  0.887221, Average Loss  0.869736, Time  0.238505
2021-09-16 11:51:37.551799 : Epoch  5, Batch   1712, Loss  0.851603, Average Loss  0.869632, Time  0.238370
2021-09-16 11:51:40.131941 : Epoch  5, Batch   1713, Loss  0.884057, Average Loss  0.869599, Time  0.238628
2021-09-16 11:51:42.718136 : Epoch  5, Batch   1714, Loss  0.858969, Average Loss  0.869592, Time  0.238484
2021-09-16 11:51:45.311950 : Epoch  5, Batch   1715, Loss  0.867409, Average Loss  0.869566, Time  0.238316
2021-09-16 11:51:47.894029 : Epoch  5, Batch   1716, Loss  0.857373, Average Loss  0.869523, Time  0.238189
2021-09-16 11:51:50.480089 : Epoch  5, Batch   1717, Loss  0.876717, Average Loss  0.869507, Time  0.238429
2021-09-16 11:51:53.057925 : Epoch  5, Batch   1718, Loss  0.878407, Average Loss  0.869532, Time  0.238405
2021-09-16 11:51:55.633816 : Epoch  5, Batch   1719, Loss  0.863520, Average Loss  0.869469, Time  0.238246
2021-09-16 11:51:58.215961 : Epoch  5, Batch   1720, Loss  0.880137, Average Loss  0.869524, Time  0.238560
2021-09-16 11:52:00.798187 : Epoch  5, Batch   1721, Loss  0.879346, Average Loss  0.869572, Time  0.238130
2021-09-16 11:52:03.401880 : Epoch  5, Batch   1722, Loss  0.858330, Average Loss  0.869574, Time  0.238501
2021-09-16 11:52:05.983174 : Epoch  5, Batch   1723, Loss  0.864984, Average Loss  0.869467, Time  0.238250
2021-09-16 11:52:08.553828 : Epoch  5, Batch   1724, Loss  0.867071, Average Loss  0.869491, Time  0.238558
2021-09-16 11:52:11.125220 : Epoch  5, Batch   1725, Loss  0.856781, Average Loss  0.869362, Time  0.238307
2021-09-16 11:52:13.698201 : Epoch  5, Batch   1726, Loss  0.856364, Average Loss  0.869324, Time  0.238519
2021-09-16 11:52:16.276697 : Epoch  5, Batch   1727, Loss  0.878503, Average Loss  0.869392, Time  0.238252
2021-09-16 11:52:18.856227 : Epoch  5, Batch   1728, Loss  0.879307, Average Loss  0.869492, Time  0.238550
2021-09-16 11:52:21.441786 : Epoch  5, Batch   1729, Loss  0.864852, Average Loss  0.869546, Time  0.239001
2021-09-16 11:52:24.018115 : Epoch  5, Batch   1730, Loss  0.870173, Average Loss  0.869563, Time  0.238402
2021-09-16 11:52:26.605019 : Epoch  5, Batch   1731, Loss  0.884945, Average Loss  0.869605, Time  0.239448
2021-09-16 11:52:29.194205 : Epoch  5, Batch   1732, Loss  0.883729, Average Loss  0.869622, Time  0.238564
2021-09-16 11:52:31.776985 : Epoch  5, Batch   1733, Loss  0.859672, Average Loss  0.869559, Time  0.238417
2021-09-16 11:52:34.368317 : Epoch  5, Batch   1734, Loss  0.855965, Average Loss  0.869443, Time  0.238945
2021-09-16 11:52:36.955943 : Epoch  5, Batch   1735, Loss  0.884791, Average Loss  0.869521, Time  0.238218
2021-09-16 11:52:39.544045 : Epoch  5, Batch   1736, Loss  0.860308, Average Loss  0.869492, Time  0.238576
2021-09-16 11:52:42.149743 : Epoch  5, Batch   1737, Loss  0.866213, Average Loss  0.869396, Time  0.238055
2021-09-16 11:52:44.746887 : Epoch  5, Batch   1738, Loss  0.876764, Average Loss  0.869377, Time  0.238319
2021-09-16 11:52:47.337689 : Epoch  5, Batch   1739, Loss  0.898334, Average Loss  0.869547, Time  0.238705
2021-09-16 11:52:49.912944 : Epoch  5, Batch   1740, Loss  0.861277, Average Loss  0.869431, Time  0.238276
2021-09-16 11:52:52.497745 : Epoch  5, Batch   1741, Loss  0.871328, Average Loss  0.869513, Time  0.238593
2021-09-16 11:52:55.088146 : Epoch  5, Batch   1742, Loss  0.862544, Average Loss  0.869430, Time  0.238451
2021-09-16 11:52:57.700747 : Epoch  5, Batch   1743, Loss  0.869978, Average Loss  0.869477, Time  0.238562
2021-09-16 11:53:00.290987 : Epoch  5, Batch   1744, Loss  0.858842, Average Loss  0.869400, Time  0.238750
2021-09-16 11:53:02.874888 : Epoch  5, Batch   1745, Loss  0.848771, Average Loss  0.869375, Time  0.238503
2021-09-16 11:53:05.464787 : Epoch  5, Batch   1746, Loss  0.854516, Average Loss  0.869330, Time  0.238523
2021-09-16 11:53:08.041602 : Epoch  5, Batch   1747, Loss  0.859721, Average Loss  0.869284, Time  0.238230
2021-09-16 11:53:10.632924 : Epoch  5, Batch   1748, Loss  0.858589, Average Loss  0.869236, Time  0.238176
2021-09-16 11:53:13.218974 : Epoch  5, Batch   1749, Loss  0.859770, Average Loss  0.869193, Time  0.238448
2021-09-16 11:53:15.844702 : Epoch  5, Batch   1750, Loss  0.864775, Average Loss  0.869158, Time  0.239033
2021-09-16 11:53:18.479807 : Epoch  5, Batch   1751, Loss  0.884009, Average Loss  0.869238, Time  0.238373
2021-09-16 11:53:21.062998 : Epoch  5, Batch   1752, Loss  0.884352, Average Loss  0.869330, Time  0.239173
2021-09-16 11:53:23.644627 : Epoch  5, Batch   1753, Loss  0.877576, Average Loss  0.869392, Time  0.238425
2021-09-16 11:53:26.238987 : Epoch  5, Batch   1754, Loss  0.864537, Average Loss  0.869350, Time  0.239520
2021-09-16 11:53:28.822006 : Epoch  5, Batch   1755, Loss  0.875096, Average Loss  0.869380, Time  0.238583
2021-09-16 11:53:31.399708 : Epoch  5, Batch   1756, Loss  0.886943, Average Loss  0.869482, Time  0.238418
2021-09-16 11:53:34.000706 : Epoch  5, Batch   1757, Loss  0.857629, Average Loss  0.869445, Time  0.239464
2021-09-16 11:53:36.583008 : Epoch  5, Batch   1758, Loss  0.878833, Average Loss  0.869443, Time  0.238840
2021-09-16 11:53:39.175032 : Epoch  5, Batch   1759, Loss  0.862885, Average Loss  0.869439, Time  0.238522
2021-09-16 11:53:41.746067 : Epoch  5, Batch   1760, Loss  0.848862, Average Loss  0.869379, Time  0.238984
2021-09-16 11:53:44.329072 : Epoch  5, Batch   1761, Loss  0.867686, Average Loss  0.869387, Time  0.238025
2021-09-16 11:53:46.919092 : Epoch  5, Batch   1762, Loss  0.846627, Average Loss  0.869229, Time  0.238994
2021-09-16 11:53:49.523266 : Epoch  5, Batch   1763, Loss  0.878483, Average Loss  0.869360, Time  0.238736
2021-09-16 11:53:52.123108 : Epoch  5, Batch   1764, Loss  0.879561, Average Loss  0.869276, Time  0.238429
2021-09-16 11:53:54.719755 : Epoch  5, Batch   1765, Loss  0.867557, Average Loss  0.869327, Time  0.238520
2021-09-16 11:53:57.305941 : Epoch  5, Batch   1766, Loss  0.865434, Average Loss  0.869389, Time  0.238222
2021-09-16 11:53:59.883386 : Epoch  5, Batch   1767, Loss  0.867224, Average Loss  0.869478, Time  0.238620
2021-09-16 11:54:00.585217 : CheckPoint: Validation Loss  0.00030650, Best Loss  0.00029295
2021-09-16 11:54:02.468237 : Epoch  5, Batch   1768, Loss  0.883473, Average Loss  0.869608, Time  0.238372
2021-09-16 11:54:03.562157 : Epoch  7, Batch   1565, Loss  0.843213, Average Loss  0.868109, Time  0.265806
2021-09-16 11:54:05.063713 : Epoch  5, Batch   1769, Loss  0.854979, Average Loss  0.869608, Time  0.238595
2021-09-16 11:54:06.543718 : Epoch  7, Batch   1566, Loss  0.879451, Average Loss  0.868290, Time  0.264535
2021-09-16 11:54:07.651116 : Epoch  5, Batch   1770, Loss  0.873144, Average Loss  0.869660, Time  0.238777
2021-09-16 11:54:09.545650 : Epoch  7, Batch   1567, Loss  0.858480, Average Loss  0.868267, Time  0.264860
2021-09-16 11:54:10.226688 : Epoch  5, Batch   1771, Loss  0.849509, Average Loss  0.869502, Time  0.238355
2021-09-16 11:54:12.550980 : Epoch  7, Batch   1568, Loss  0.865001, Average Loss  0.868300, Time  0.274120
2021-09-16 11:54:12.812746 : Epoch  5, Batch   1772, Loss  0.884493, Average Loss  0.869526, Time  0.238393
2021-09-16 11:54:15.402115 : Epoch  5, Batch   1773, Loss  0.865661, Average Loss  0.869518, Time  0.238512
2021-09-16 11:54:15.526862 : Epoch  7, Batch   1569, Loss  0.887003, Average Loss  0.868327, Time  0.264637
2021-09-16 11:54:17.996360 : Epoch  5, Batch   1774, Loss  0.862476, Average Loss  0.869422, Time  0.238568
2021-09-16 11:54:18.505282 : Epoch  7, Batch   1570, Loss  0.869723, Average Loss  0.868362, Time  0.265556
2021-09-16 11:54:20.592865 : Epoch  5, Batch   1775, Loss  0.876552, Average Loss  0.869526, Time  0.239538
2021-09-16 11:54:21.505942 : Epoch  7, Batch   1571, Loss  0.855958, Average Loss  0.868167, Time  0.264942
2021-09-16 11:54:23.166968 : Epoch  5, Batch   1776, Loss  0.858950, Average Loss  0.869507, Time  0.238174
2021-09-16 11:54:24.477639 : Epoch  7, Batch   1572, Loss  0.850941, Average Loss  0.868153, Time  0.264462
2021-09-16 11:54:27.439528 : Epoch  7, Batch   1573, Loss  0.864534, Average Loss  0.868145, Time  0.266218
2021-09-16 11:54:30.433162 : Epoch  7, Batch   1574, Loss  0.873174, Average Loss  0.868207, Time  0.264164
2021-09-16 11:54:33.420072 : Epoch  7, Batch   1575, Loss  0.883720, Average Loss  0.868250, Time  0.265293
2021-09-16 11:54:36.426058 : Epoch  7, Batch   1576, Loss  0.873108, Average Loss  0.868281, Time  0.264582
2021-09-16 11:54:39.418078 : Epoch  7, Batch   1577, Loss  0.857112, Average Loss  0.868238, Time  0.263606
2021-09-16 11:54:42.378096 : Epoch  7, Batch   1578, Loss  0.882137, Average Loss  0.868360, Time  0.265182
2021-09-16 11:54:45.347343 : Epoch  7, Batch   1579, Loss  0.853857, Average Loss  0.868356, Time  0.265121
2021-09-16 11:54:48.314826 : Epoch  7, Batch   1580, Loss  0.888857, Average Loss  0.868417, Time  0.263807
2021-09-16 11:54:51.269394 : Epoch  7, Batch   1581, Loss  0.873782, Average Loss  0.868468, Time  0.263115
2021-09-16 11:54:54.223042 : Epoch  7, Batch   1582, Loss  0.839510, Average Loss  0.868269, Time  0.264652
2021-09-16 11:54:57.193889 : Epoch  7, Batch   1583, Loss  0.884237, Average Loss  0.868237, Time  0.273001
2021-09-16 11:55:00.179570 : Epoch  7, Batch   1584, Loss  0.847543, Average Loss  0.868053, Time  0.264031
2021-09-16 11:55:03.126040 : Epoch  7, Batch   1585, Loss  0.873808, Average Loss  0.868128, Time  0.264903
2021-09-16 11:55:06.102435 : Epoch  7, Batch   1586, Loss  0.848041, Average Loss  0.868068, Time  0.264225
2021-09-16 11:55:09.069622 : Epoch  7, Batch   1587, Loss  0.877769, Average Loss  0.868125, Time  0.265977
2021-09-16 11:55:12.046648 : Epoch  7, Batch   1588, Loss  0.863679, Average Loss  0.868102, Time  0.263807
2021-09-16 11:55:15.037248 : Epoch  7, Batch   1589, Loss  0.911487, Average Loss  0.868263, Time  0.265411
2021-09-16 11:55:18.040239 : Epoch  7, Batch   1590, Loss  0.874163, Average Loss  0.868327, Time  0.264425
2021-09-16 11:55:21.039024 : Epoch  7, Batch   1591, Loss  0.857927, Average Loss  0.868270, Time  0.264764
2021-09-16 11:55:24.024319 : Epoch  7, Batch   1592, Loss  0.889586, Average Loss  0.868330, Time  0.264892
2021-09-16 11:55:27.065696 : Epoch  7, Batch   1593, Loss  0.870631, Average Loss  0.868334, Time  0.266016
2021-09-16 11:55:30.042758 : Epoch  7, Batch   1594, Loss  0.873002, Average Loss  0.868271, Time  0.265351
2021-09-16 11:55:33.013620 : Epoch  7, Batch   1595, Loss  0.883485, Average Loss  0.868379, Time  0.264933
2021-09-16 11:55:36.022154 : Epoch  7, Batch   1596, Loss  0.844642, Average Loss  0.868154, Time  0.264002
2021-09-16 11:55:38.995237 : Epoch  7, Batch   1597, Loss  0.872820, Average Loss  0.868220, Time  0.264512
2021-09-16 11:55:42.047376 : Epoch  7, Batch   1598, Loss  0.871714, Average Loss  0.868196, Time  0.277218
2021-09-16 11:55:45.025810 : Epoch  7, Batch   1599, Loss  0.880305, Average Loss  0.868263, Time  0.265430
2021-09-16 11:55:48.027445 : Epoch  7, Batch   1600, Loss  0.865408, Average Loss  0.868278, Time  0.264867
2021-09-16 11:55:50.993737 : Epoch  7, Batch   1601, Loss  0.855561, Average Loss  0.868229, Time  0.264546
2021-09-16 11:55:53.970037 : Epoch  7, Batch   1602, Loss  0.850784, Average Loss  0.868164, Time  0.265135
2021-09-16 11:55:56.963161 : Epoch  7, Batch   1603, Loss  0.867808, Average Loss  0.868223, Time  0.264803
2021-09-16 11:55:59.954068 : Epoch  7, Batch   1604, Loss  0.859152, Average Loss  0.868225, Time  0.265167
2021-09-16 11:56:02.932517 : Epoch  7, Batch   1605, Loss  0.841006, Average Loss  0.868077, Time  0.264933
2021-09-16 11:56:05.935847 : Epoch  7, Batch   1606, Loss  0.877252, Average Loss  0.868138, Time  0.263053
2021-09-16 11:56:08.874194 : Epoch  7, Batch   1607, Loss  0.891553, Average Loss  0.868234, Time  0.265190
2021-09-16 11:56:11.861893 : Epoch  7, Batch   1608, Loss  0.876218, Average Loss  0.868297, Time  0.264702
2021-09-16 11:56:14.827827 : Epoch  7, Batch   1609, Loss  0.884430, Average Loss  0.868444, Time  0.264542
2021-09-16 11:56:17.812005 : Epoch  7, Batch   1610, Loss  0.886434, Average Loss  0.868506, Time  0.263705
2021-09-16 11:56:20.771469 : Epoch  7, Batch   1611, Loss  0.839039, Average Loss  0.868383, Time  0.264514
2021-09-16 11:56:23.733944 : Epoch  7, Batch   1612, Loss  0.873318, Average Loss  0.868403, Time  0.264611
2021-09-16 11:56:26.661350 : Epoch  7, Batch   1613, Loss  0.876684, Average Loss  0.868483, Time  0.265191
2021-09-16 11:56:29.665291 : Epoch  7, Batch   1614, Loss  0.869285, Average Loss  0.868466, Time  0.279311
2021-09-16 11:56:32.645092 : Epoch  7, Batch   1615, Loss  0.868691, Average Loss  0.868396, Time  0.264553
2021-09-16 11:56:35.618441 : Epoch  7, Batch   1616, Loss  0.844465, Average Loss  0.868345, Time  0.265594
2021-09-16 11:56:38.586166 : Epoch  7, Batch   1617, Loss  0.874350, Average Loss  0.868484, Time  0.264673
2021-09-16 11:56:41.550136 : Epoch  7, Batch   1618, Loss  0.867302, Average Loss  0.868475, Time  0.264423
2021-09-16 11:56:44.526768 : Epoch  7, Batch   1619, Loss  0.881322, Average Loss  0.868543, Time  0.264623
2021-09-16 11:56:47.512369 : Epoch  7, Batch   1620, Loss  0.860588, Average Loss  0.868518, Time  0.264851
2021-09-16 11:56:50.483194 : Epoch  7, Batch   1621, Loss  0.856842, Average Loss  0.868478, Time  0.265996
2021-09-16 11:56:53.459188 : Epoch  7, Batch   1622, Loss  0.865562, Average Loss  0.868508, Time  0.264020
2021-09-16 11:56:56.425882 : Epoch  7, Batch   1623, Loss  0.879277, Average Loss  0.868619, Time  0.263925
2021-09-16 11:56:59.377888 : Epoch  7, Batch   1624, Loss  0.855417, Average Loss  0.868566, Time  0.263445
2021-09-16 11:57:02.353624 : Epoch  7, Batch   1625, Loss  0.862112, Average Loss  0.868502, Time  0.265280
2021-09-16 11:57:05.352136 : Epoch  7, Batch   1626, Loss  0.854596, Average Loss  0.868516, Time  0.264826
2021-09-16 11:57:08.356724 : Epoch  7, Batch   1627, Loss  0.868236, Average Loss  0.868639, Time  0.264271
2021-09-16 11:57:11.357892 : Epoch  7, Batch   1628, Loss  0.868981, Average Loss  0.868626, Time  0.263948
2021-09-16 11:57:14.367208 : Epoch  7, Batch   1629, Loss  0.867726, Average Loss  0.868498, Time  0.276373
2021-09-16 11:57:17.370723 : Epoch  7, Batch   1630, Loss  0.855028, Average Loss  0.868441, Time  0.264644
2021-09-16 11:57:20.343021 : Epoch  7, Batch   1631, Loss  0.855316, Average Loss  0.868354, Time  0.264586
2021-09-16 11:57:23.316953 : Epoch  7, Batch   1632, Loss  0.864200, Average Loss  0.868433, Time  0.264795
2021-09-16 11:57:26.311322 : Epoch  7, Batch   1633, Loss  0.880056, Average Loss  0.868616, Time  0.264165
2021-09-16 11:57:29.281876 : Epoch  7, Batch   1634, Loss  0.864702, Average Loss  0.868568, Time  0.266579
2021-09-16 11:57:32.269381 : Epoch  7, Batch   1635, Loss  0.874515, Average Loss  0.868638, Time  0.265702
2021-09-16 11:57:35.236633 : Epoch  7, Batch   1636, Loss  0.877741, Average Loss  0.868665, Time  0.265087
2021-09-16 11:57:38.232798 : Epoch  7, Batch   1637, Loss  0.890043, Average Loss  0.868798, Time  0.264640
2021-09-16 11:57:41.227892 : Epoch  7, Batch   1638, Loss  0.873331, Average Loss  0.868801, Time  0.264771
2021-09-16 11:57:44.213027 : Epoch  7, Batch   1639, Loss  0.878836, Average Loss  0.868953, Time  0.265179
2021-09-16 11:57:47.208502 : Epoch  7, Batch   1640, Loss  0.866623, Average Loss  0.868927, Time  0.264126
2021-09-16 11:57:50.190778 : Epoch  7, Batch   1641, Loss  0.867012, Average Loss  0.868822, Time  0.265021
2021-09-16 11:57:53.199111 : Epoch  7, Batch   1642, Loss  0.872342, Average Loss  0.868798, Time  0.264308
2021-09-16 11:57:56.204091 : Epoch  7, Batch   1643, Loss  0.896953, Average Loss  0.869048, Time  0.264794
2021-09-16 11:57:59.195691 : Epoch  7, Batch   1644, Loss  0.858364, Average Loss  0.869037, Time  0.275134
2021-09-16 11:58:02.172160 : Epoch  7, Batch   1645, Loss  0.849167, Average Loss  0.868991, Time  0.264569
2021-09-16 11:58:05.131831 : Epoch  7, Batch   1646, Loss  0.853027, Average Loss  0.868900, Time  0.264546
2021-09-16 11:58:08.114007 : Epoch  7, Batch   1647, Loss  0.874409, Average Loss  0.868987, Time  0.264770
2021-09-16 11:58:11.087056 : Epoch  7, Batch   1648, Loss  0.871446, Average Loss  0.868951, Time  0.264102
2021-09-16 11:58:14.056334 : Epoch  7, Batch   1649, Loss  0.865848, Average Loss  0.868933, Time  0.263785
2021-09-16 11:58:17.017178 : Epoch  7, Batch   1650, Loss  0.864683, Average Loss  0.868901, Time  0.264171
2021-09-16 11:58:19.984100 : Epoch  7, Batch   1651, Loss  0.874440, Average Loss  0.868879, Time  0.263985
2021-09-16 11:58:22.957707 : Epoch  7, Batch   1652, Loss  0.862144, Average Loss  0.868852, Time  0.264452
2021-09-16 11:58:23.589717 : CheckPoint: Validation Loss  0.00030270, Best Loss  0.00029207
2021-09-16 11:58:25.969457 : Epoch  7, Batch   1653, Loss  0.870079, Average Loss  0.868826, Time  0.265275
2021-09-16 11:58:26.156451 : Epoch  5, Batch   1777, Loss  0.869796, Average Loss  0.869566, Time  0.239667
2021-09-16 11:58:28.727970 : Epoch  5, Batch   1778, Loss  0.857193, Average Loss  0.869517, Time  0.238492
2021-09-16 11:58:28.937549 : Epoch  7, Batch   1654, Loss  0.850160, Average Loss  0.868680, Time  0.264287
2021-09-16 11:58:31.308058 : Epoch  5, Batch   1779, Loss  0.862687, Average Loss  0.869472, Time  0.238090
2021-09-16 11:58:31.904678 : Epoch  7, Batch   1655, Loss  0.869368, Average Loss  0.868628, Time  0.265238
2021-09-16 11:58:33.893912 : Epoch  5, Batch   1780, Loss  0.867788, Average Loss  0.869410, Time  0.238588
2021-09-16 11:58:34.874371 : Epoch  7, Batch   1656, Loss  0.857366, Average Loss  0.868503, Time  0.265610
2021-09-16 11:58:36.479963 : Epoch  5, Batch   1781, Loss  0.881487, Average Loss  0.869423, Time  0.238561
2021-09-16 11:58:37.873951 : Epoch  7, Batch   1657, Loss  0.853677, Average Loss  0.868396, Time  0.266001
2021-09-16 11:58:39.053158 : Epoch  5, Batch   1782, Loss  0.856794, Average Loss  0.869404, Time  0.238504
2021-09-16 11:58:40.868665 : Epoch  7, Batch   1658, Loss  0.889716, Average Loss  0.868420, Time  0.264974
2021-09-16 11:58:41.644844 : Epoch  5, Batch   1783, Loss  0.865558, Average Loss  0.869399, Time  0.238677
2021-09-16 11:58:43.849947 : Epoch  7, Batch   1659, Loss  0.886190, Average Loss  0.868434, Time  0.264117
2021-09-16 11:58:44.231681 : Epoch  5, Batch   1784, Loss  0.860265, Average Loss  0.869429, Time  0.238758
2021-09-16 11:58:46.802948 : Epoch  5, Batch   1785, Loss  0.855750, Average Loss  0.869280, Time  0.238139
2021-09-16 11:58:46.823408 : Epoch  7, Batch   1660, Loss  0.861161, Average Loss  0.868335, Time  0.275056
2021-09-16 11:58:49.383968 : Epoch  5, Batch   1786, Loss  0.871398, Average Loss  0.869339, Time  0.238359
2021-09-16 11:58:49.824514 : Epoch  7, Batch   1661, Loss  0.873906, Average Loss  0.868443, Time  0.265958
2021-09-16 11:58:51.986144 : Epoch  5, Batch   1787, Loss  0.861448, Average Loss  0.869329, Time  0.239157
2021-09-16 11:58:52.838279 : Epoch  7, Batch   1662, Loss  0.875493, Average Loss  0.868526, Time  0.266758
2021-09-16 11:58:54.573986 : Epoch  5, Batch   1788, Loss  0.848765, Average Loss  0.869265, Time  0.238085
2021-09-16 11:58:55.828190 : Epoch  7, Batch   1663, Loss  0.898360, Average Loss  0.868719, Time  0.263951
2021-09-16 11:58:57.146893 : Epoch  5, Batch   1789, Loss  0.873550, Average Loss  0.869252, Time  0.238343
2021-09-16 11:58:58.800306 : Epoch  7, Batch   1664, Loss  0.859827, Average Loss  0.868680, Time  0.264073
2021-09-16 11:58:59.750981 : Epoch  5, Batch   1790, Loss  0.883110, Average Loss  0.869298, Time  0.239235
2021-09-16 11:59:02.332032 : Epoch  5, Batch   1791, Loss  0.865022, Average Loss  0.869259, Time  0.238517
2021-09-16 11:59:04.917744 : Epoch  5, Batch   1792, Loss  0.883908, Average Loss  0.869352, Time  0.239561
2021-09-16 11:59:07.497979 : Epoch  5, Batch   1793, Loss  0.891099, Average Loss  0.869460, Time  0.238700
2021-09-16 11:59:10.088274 : Epoch  5, Batch   1794, Loss  0.872418, Average Loss  0.869461, Time  0.238457
2021-09-16 11:59:12.653551 : Epoch  5, Batch   1795, Loss  0.881484, Average Loss  0.869507, Time  0.238542
2021-09-16 11:59:15.230266 : Epoch  5, Batch   1796, Loss  0.862212, Average Loss  0.869415, Time  0.238700
2021-09-16 11:59:17.820081 : Epoch  5, Batch   1797, Loss  0.875799, Average Loss  0.869479, Time  0.239077
2021-09-16 11:59:20.391977 : Epoch  5, Batch   1798, Loss  0.868882, Average Loss  0.869482, Time  0.238347
2021-09-16 11:59:22.972978 : Epoch  5, Batch   1799, Loss  0.876030, Average Loss  0.869415, Time  0.239108
2021-09-16 11:59:25.571071 : Epoch  5, Batch   1800, Loss  0.865647, Average Loss  0.869372, Time  0.238615
2021-09-16 11:59:28.146245 : Epoch  5, Batch   1801, Loss  0.893574, Average Loss  0.869538, Time  0.238300
2021-09-16 11:59:30.718886 : Epoch  5, Batch   1802, Loss  0.855923, Average Loss  0.869536, Time  0.238303
2021-09-16 11:59:33.300262 : Epoch  5, Batch   1803, Loss  0.846966, Average Loss  0.869434, Time  0.238193
2021-09-16 11:59:35.877219 : Epoch  5, Batch   1804, Loss  0.854375, Average Loss  0.869315, Time  0.238665
2021-09-16 11:59:38.457991 : Epoch  5, Batch   1805, Loss  0.896279, Average Loss  0.869420, Time  0.238760
2021-09-16 11:59:41.038981 : Epoch  5, Batch   1806, Loss  0.866467, Average Loss  0.869450, Time  0.238467
2021-09-16 11:59:43.639953 : Epoch  5, Batch   1807, Loss  0.856372, Average Loss  0.869358, Time  0.238276
2021-09-16 11:59:46.223633 : Epoch  5, Batch   1808, Loss  0.859115, Average Loss  0.869251, Time  0.238639
2021-09-16 11:59:48.805933 : Epoch  5, Batch   1809, Loss  0.889291, Average Loss  0.869419, Time  0.238646
2021-09-16 11:59:51.398989 : Epoch  5, Batch   1810, Loss  0.863968, Average Loss  0.869419, Time  0.238453
2021-09-16 11:59:53.982962 : Epoch  5, Batch   1811, Loss  0.872837, Average Loss  0.869438, Time  0.238635
2021-09-16 11:59:56.553013 : Epoch  5, Batch   1812, Loss  0.879262, Average Loss  0.869515, Time  0.238384
2021-09-16 11:59:59.137349 : Epoch  5, Batch   1813, Loss  0.880370, Average Loss  0.869531, Time  0.238671
2021-09-16 12:00:01.717485 : Epoch  5, Batch   1814, Loss  0.869688, Average Loss  0.869517, Time  0.240242
2021-09-16 12:00:04.318904 : Epoch  5, Batch   1815, Loss  0.857900, Average Loss  0.869505, Time  0.238831
2021-09-16 12:00:06.913282 : Epoch  5, Batch   1816, Loss  0.876966, Average Loss  0.869521, Time  0.239633
2021-09-16 12:00:09.494148 : Epoch  5, Batch   1817, Loss  0.854939, Average Loss  0.869405, Time  0.238683
2021-09-16 12:00:12.072843 : Epoch  5, Batch   1818, Loss  0.852197, Average Loss  0.869261, Time  0.238828
2021-09-16 12:00:14.656958 : Epoch  5, Batch   1819, Loss  0.850077, Average Loss  0.869239, Time  0.240057
2021-09-16 12:00:17.235889 : Epoch  5, Batch   1820, Loss  0.884256, Average Loss  0.869167, Time  0.238338
2021-09-16 12:00:19.825802 : Epoch  5, Batch   1821, Loss  0.859779, Average Loss  0.869113, Time  0.238740
2021-09-16 12:00:22.415901 : Epoch  5, Batch   1822, Loss  0.876173, Average Loss  0.869051, Time  0.238241
2021-09-16 12:00:25.013247 : Epoch  5, Batch   1823, Loss  0.871271, Average Loss  0.869034, Time  0.238486
2021-09-16 12:00:27.621753 : Epoch  5, Batch   1824, Loss  0.882620, Average Loss  0.869130, Time  0.238749
2021-09-16 12:00:30.197261 : Epoch  5, Batch   1825, Loss  0.871801, Average Loss  0.869250, Time  0.238515
2021-09-16 12:00:32.779185 : Epoch  5, Batch   1826, Loss  0.869789, Average Loss  0.869176, Time  0.238611
2021-09-16 12:00:35.373072 : Epoch  5, Batch   1827, Loss  0.855196, Average Loss  0.869019, Time  0.238742
2021-09-16 12:00:37.957882 : Epoch  5, Batch   1828, Loss  0.881494, Average Loss  0.869079, Time  0.238413
2021-09-16 12:00:40.531147 : Epoch  5, Batch   1829, Loss  0.870104, Average Loss  0.869123, Time  0.238507
2021-09-16 12:00:43.118884 : Epoch  5, Batch   1830, Loss  0.863213, Average Loss  0.869088, Time  0.238806
2021-09-16 12:00:45.700117 : Epoch  5, Batch   1831, Loss  0.870876, Average Loss  0.869009, Time  0.238159
2021-09-16 12:00:48.278960 : Epoch  5, Batch   1832, Loss  0.870584, Average Loss  0.868990, Time  0.238318
2021-09-16 12:00:50.867709 : Epoch  5, Batch   1833, Loss  0.866734, Average Loss  0.868944, Time  0.238542
2021-09-16 12:00:53.457040 : Epoch  5, Batch   1834, Loss  0.889097, Average Loss  0.869013, Time  0.238456
2021-09-16 12:00:56.047898 : Epoch  5, Batch   1835, Loss  0.865883, Average Loss  0.869079, Time  0.238316
2021-09-16 12:00:58.629964 : Epoch  5, Batch   1836, Loss  0.858661, Average Loss  0.869001, Time  0.238503
2021-09-16 12:01:01.208993 : Epoch  5, Batch   1837, Loss  0.887880, Average Loss  0.869054, Time  0.239774
2021-09-16 12:01:03.796257 : Epoch  5, Batch   1838, Loss  0.875231, Average Loss  0.869121, Time  0.238732
2021-09-16 12:01:06.388773 : Epoch  5, Batch   1839, Loss  0.862115, Average Loss  0.869118, Time  0.238952
2021-09-16 12:01:08.972750 : Epoch  5, Batch   1840, Loss  0.873918, Average Loss  0.869178, Time  0.239033
2021-09-16 12:01:11.560921 : Epoch  5, Batch   1841, Loss  0.876765, Average Loss  0.869197, Time  0.239011
2021-09-16 12:01:14.139133 : Epoch  5, Batch   1842, Loss  0.889956, Average Loss  0.869310, Time  0.238362
2021-09-16 12:01:16.728886 : Epoch  5, Batch   1843, Loss  0.861014, Average Loss  0.869350, Time  0.238540
2021-09-16 12:01:19.309355 : Epoch  5, Batch   1844, Loss  0.855746, Average Loss  0.869224, Time  0.239016
2021-09-16 12:01:21.895045 : Epoch  5, Batch   1845, Loss  0.868669, Average Loss  0.869100, Time  0.238342
2021-09-16 12:01:24.479748 : Epoch  5, Batch   1846, Loss  0.868325, Average Loss  0.869096, Time  0.238236
2021-09-16 12:01:27.062056 : Epoch  5, Batch   1847, Loss  0.865179, Average Loss  0.869139, Time  0.238770
2021-09-16 12:01:29.646817 : Epoch  5, Batch   1848, Loss  0.862200, Average Loss  0.869131, Time  0.238586
2021-09-16 12:01:32.226755 : Epoch  5, Batch   1849, Loss  0.837931, Average Loss  0.868951, Time  0.238370
2021-09-16 12:01:34.811841 : Epoch  5, Batch   1850, Loss  0.882606, Average Loss  0.868936, Time  0.238516
2021-09-16 12:01:37.395972 : Epoch  5, Batch   1851, Loss  0.874499, Average Loss  0.868947, Time  0.238290
2021-09-16 12:01:39.982876 : Epoch  5, Batch   1852, Loss  0.857360, Average Loss  0.868916, Time  0.238822
2021-09-16 12:01:42.549894 : Epoch  5, Batch   1853, Loss  0.864745, Average Loss  0.868864, Time  0.238737
2021-09-16 12:01:45.129125 : Epoch  5, Batch   1854, Loss  0.883026, Average Loss  0.868843, Time  0.238465
2021-09-16 12:01:47.704010 : Epoch  5, Batch   1855, Loss  0.864398, Average Loss  0.868856, Time  0.238377
2021-09-16 12:01:50.275870 : Epoch  5, Batch   1856, Loss  0.880735, Average Loss  0.868990, Time  0.238363
2021-09-16 12:01:50.304727 : Saving Model after 5-th Epoch.
2021-09-16 12:01:51.254799 : Epoch Finished.
2021-09-16 12:02:00.007175 : Batch Shuffled
2021-09-16 12:02:02.616740 : Epoch  6, Batch      1, Loss  0.874399, Average Loss  0.868923, Time  0.268330
2021-09-16 12:02:05.195145 : Epoch  6, Batch      2, Loss  0.881686, Average Loss  0.868855, Time  0.243330
2021-09-16 12:02:07.767143 : Epoch  6, Batch      3, Loss  0.860449, Average Loss  0.868688, Time  0.238578
2021-09-16 12:02:10.340805 : Epoch  6, Batch      4, Loss  0.858638, Average Loss  0.868609, Time  0.239202
2021-09-16 12:02:12.900936 : Epoch  6, Batch      5, Loss  0.867211, Average Loss  0.868650, Time  0.238429
2021-09-16 12:02:15.469929 : Epoch  6, Batch      6, Loss  0.872474, Average Loss  0.868654, Time  0.238945
2021-09-16 12:02:18.029194 : Epoch  6, Batch      7, Loss  0.872518, Average Loss  0.868618, Time  0.238796
2021-09-16 12:02:20.603948 : Epoch  6, Batch      8, Loss  0.873209, Average Loss  0.868709, Time  0.238299
2021-09-16 12:02:23.176975 : Epoch  6, Batch      9, Loss  0.868198, Average Loss  0.868663, Time  0.238394
2021-09-16 12:02:25.742933 : Epoch  6, Batch     10, Loss  0.893201, Average Loss  0.868607, Time  0.238324
2021-09-16 12:02:28.314803 : Epoch  6, Batch     11, Loss  0.885324, Average Loss  0.868788, Time  0.238855
2021-09-16 12:02:30.892597 : Epoch  6, Batch     12, Loss  0.881218, Average Loss  0.868799, Time  0.238487
2021-09-16 12:02:33.466922 : Epoch  6, Batch     13, Loss  0.855388, Average Loss  0.868771, Time  0.238512
2021-09-16 12:02:36.044064 : Epoch  6, Batch     14, Loss  0.882331, Average Loss  0.868897, Time  0.238173
2021-09-16 12:02:38.617798 : Epoch  6, Batch     15, Loss  0.868609, Average Loss  0.868909, Time  0.238470
2021-09-16 12:02:41.183794 : Epoch  6, Batch     16, Loss  0.874838, Average Loss  0.868870, Time  0.238762
2021-09-16 12:02:43.773908 : Epoch  6, Batch     17, Loss  0.887799, Average Loss  0.868836, Time  0.239218
2021-09-16 12:02:46.344841 : Epoch  6, Batch     18, Loss  0.883481, Average Loss  0.868926, Time  0.239296
2021-09-16 12:02:48.922971 : Epoch  6, Batch     19, Loss  0.882834, Average Loss  0.869036, Time  0.238059
2021-09-16 12:02:51.494918 : Epoch  6, Batch     20, Loss  0.878497, Average Loss  0.869139, Time  0.238798
2021-09-16 12:03:37.598843 : CheckPoint: Validation Loss  0.00029410, Best Loss  0.00029295
2021-09-16 12:03:40.579494 : Epoch  7, Batch   1665, Loss  0.872186, Average Loss  0.868755, Time  0.265270
2021-09-16 12:03:43.557265 : Epoch  7, Batch   1666, Loss  0.880215, Average Loss  0.868773, Time  0.264336
2021-09-16 12:03:46.541553 : Epoch  7, Batch   1667, Loss  0.838953, Average Loss  0.868663, Time  0.264520
2021-09-16 12:03:49.545558 : Epoch  7, Batch   1668, Loss  0.859820, Average Loss  0.868650, Time  0.263087
2021-09-16 12:03:52.543932 : Epoch  7, Batch   1669, Loss  0.895015, Average Loss  0.868861, Time  0.265068
2021-09-16 12:03:55.551825 : Epoch  7, Batch   1670, Loss  0.872578, Average Loss  0.868762, Time  0.265823
2021-09-16 12:03:58.528938 : Epoch  7, Batch   1671, Loss  0.871274, Average Loss  0.868646, Time  0.265082
2021-09-16 12:04:01.527321 : Epoch  7, Batch   1672, Loss  0.859669, Average Loss  0.868564, Time  0.265349
2021-09-16 12:04:04.533387 : Epoch  7, Batch   1673, Loss  0.878761, Average Loss  0.868696, Time  0.265115
2021-09-16 12:04:07.502541 : Epoch  7, Batch   1674, Loss  0.879928, Average Loss  0.868661, Time  0.265193
2021-09-16 12:04:10.474370 : Epoch  7, Batch   1675, Loss  0.885252, Average Loss  0.868824, Time  0.276207
2021-09-16 12:04:13.460655 : Epoch  7, Batch   1676, Loss  0.885701, Average Loss  0.868843, Time  0.264858
2021-09-16 12:04:16.461222 : Epoch  7, Batch   1677, Loss  0.885971, Average Loss  0.868907, Time  0.264344
2021-09-16 12:04:19.436915 : Epoch  7, Batch   1678, Loss  0.899453, Average Loss  0.869186, Time  0.264864
2021-09-16 12:04:22.422223 : Epoch  7, Batch   1679, Loss  0.861936, Average Loss  0.869102, Time  0.264631
2021-09-16 12:04:25.430395 : Epoch  7, Batch   1680, Loss  0.863092, Average Loss  0.869066, Time  0.264331
2021-09-16 12:04:28.438557 : Epoch  7, Batch   1681, Loss  0.868234, Average Loss  0.868971, Time  0.265136
2021-09-16 12:04:31.414425 : Epoch  7, Batch   1682, Loss  0.866975, Average Loss  0.869035, Time  0.264102
2021-09-16 12:04:34.407564 : Epoch  7, Batch   1683, Loss  0.856473, Average Loss  0.868953, Time  0.264949
2021-09-16 12:04:37.412989 : Epoch  7, Batch   1684, Loss  0.881555, Average Loss  0.868949, Time  0.264191
2021-09-16 12:04:40.379004 : Epoch  7, Batch   1685, Loss  0.849426, Average Loss  0.868779, Time  0.263596
2021-09-16 12:04:43.369730 : Epoch  7, Batch   1686, Loss  0.887650, Average Loss  0.868922, Time  0.265277
2021-09-16 12:04:46.374969 : Epoch  7, Batch   1687, Loss  0.871536, Average Loss  0.868994, Time  0.264162
2021-09-16 12:04:49.330505 : Epoch  7, Batch   1688, Loss  0.886853, Average Loss  0.869038, Time  0.264158
2021-09-16 12:04:52.301542 : Epoch  7, Batch   1689, Loss  0.853509, Average Loss  0.868897, Time  0.263955
2021-09-16 12:04:55.279926 : Epoch  7, Batch   1690, Loss  0.880855, Average Loss  0.868968, Time  0.276742
2021-09-16 12:04:58.269266 : Epoch  7, Batch   1691, Loss  0.849549, Average Loss  0.868882, Time  0.264022
2021-09-16 12:05:01.255341 : Epoch  7, Batch   1692, Loss  0.870861, Average Loss  0.868862, Time  0.264977
2021-09-16 12:05:04.236686 : Epoch  7, Batch   1693, Loss  0.878332, Average Loss  0.868884, Time  0.264863
2021-09-16 12:05:07.200577 : Epoch  7, Batch   1694, Loss  0.861258, Average Loss  0.868827, Time  0.264014
2021-09-16 12:05:10.165740 : Epoch  7, Batch   1695, Loss  0.878617, Average Loss  0.868851, Time  0.264268
2021-09-16 12:05:13.142862 : Epoch  7, Batch   1696, Loss  0.864423, Average Loss  0.868801, Time  0.264074
2021-09-16 12:05:16.114382 : Epoch  7, Batch   1697, Loss  0.853186, Average Loss  0.868547, Time  0.264317
2021-09-16 12:05:19.116593 : Epoch  7, Batch   1698, Loss  0.864613, Average Loss  0.868492, Time  0.264346
2021-09-16 12:05:22.083341 : Epoch  7, Batch   1699, Loss  0.873689, Average Loss  0.868530, Time  0.263160
2021-09-16 12:05:25.080070 : Epoch  7, Batch   1700, Loss  0.878496, Average Loss  0.868649, Time  0.265692
2021-09-16 12:05:28.059603 : Epoch  7, Batch   1701, Loss  0.882781, Average Loss  0.868748, Time  0.264261
2021-09-16 12:05:31.028507 : Epoch  7, Batch   1702, Loss  0.880532, Average Loss  0.868914, Time  0.264067
2021-09-16 12:05:34.017687 : Epoch  7, Batch   1703, Loss  0.868584, Average Loss  0.868885, Time  0.263782
2021-09-16 12:05:37.013642 : Epoch  7, Batch   1704, Loss  0.850586, Average Loss  0.868851, Time  0.263663
2021-09-16 12:05:39.990085 : Epoch  7, Batch   1705, Loss  0.893115, Average Loss  0.869020, Time  0.270379
2021-09-16 12:05:42.965692 : Epoch  7, Batch   1706, Loss  0.871915, Average Loss  0.869130, Time  0.263204
2021-09-16 12:05:45.915430 : Epoch  7, Batch   1707, Loss  0.857658, Average Loss  0.869068, Time  0.263200
2021-09-16 12:05:48.926453 : Epoch  7, Batch   1708, Loss  0.871492, Average Loss  0.869021, Time  0.263623
2021-09-16 12:05:51.903476 : Epoch  7, Batch   1709, Loss  0.882385, Average Loss  0.869202, Time  0.264744
2021-09-16 12:05:54.904156 : Epoch  7, Batch   1710, Loss  0.886331, Average Loss  0.869283, Time  0.264467
2021-09-16 12:05:57.869014 : Epoch  7, Batch   1711, Loss  0.857731, Average Loss  0.869251, Time  0.264274
2021-09-16 12:06:00.857444 : Epoch  7, Batch   1712, Loss  0.861472, Average Loss  0.869214, Time  0.264046
2021-09-16 12:06:03.838996 : Epoch  7, Batch   1713, Loss  0.844804, Average Loss  0.869195, Time  0.266759
2021-09-16 12:06:06.817563 : Epoch  7, Batch   1714, Loss  0.860293, Average Loss  0.869196, Time  0.264218
2021-09-16 12:06:09.813022 : Epoch  7, Batch   1715, Loss  0.867997, Average Loss  0.869253, Time  0.265924
2021-09-16 12:06:12.801433 : Epoch  7, Batch   1716, Loss  0.872319, Average Loss  0.869248, Time  0.264286
2021-09-16 12:06:15.775814 : Epoch  7, Batch   1717, Loss  0.849666, Average Loss  0.869128, Time  0.264077
2021-09-16 12:06:18.742142 : Epoch  7, Batch   1718, Loss  0.869723, Average Loss  0.869104, Time  0.264345
2021-09-16 12:06:21.711181 : Epoch  7, Batch   1719, Loss  0.868292, Average Loss  0.869141, Time  0.264375
2021-09-16 12:06:24.713487 : Epoch  7, Batch   1720, Loss  0.848452, Average Loss  0.869022, Time  0.265328
2021-09-16 12:06:27.702940 : Epoch  7, Batch   1721, Loss  0.878261, Average Loss  0.869072, Time  0.276818
2021-09-16 12:06:30.709357 : Epoch  7, Batch   1722, Loss  0.866613, Average Loss  0.869017, Time  0.265243
2021-09-16 12:06:33.671754 : Epoch  7, Batch   1723, Loss  0.880052, Average Loss  0.869218, Time  0.263598
2021-09-16 12:06:36.654117 : Epoch  7, Batch   1724, Loss  0.850106, Average Loss  0.869167, Time  0.265162
2021-09-16 12:06:39.644038 : Epoch  7, Batch   1725, Loss  0.849142, Average Loss  0.869027, Time  0.266184
2021-09-16 12:06:42.618087 : Epoch  7, Batch   1726, Loss  0.873749, Average Loss  0.869021, Time  0.264555
2021-09-16 12:06:45.585571 : Epoch  7, Batch   1727, Loss  0.885256, Average Loss  0.869175, Time  0.264281
2021-09-16 12:06:48.584733 : Epoch  7, Batch   1728, Loss  0.858016, Average Loss  0.869091, Time  0.264838
2021-09-16 12:06:51.430928 : CheckPoint: Validation Loss  0.00030232, Best Loss  0.00029207
2021-09-16 12:06:51.594616 : Epoch  7, Batch   1729, Loss  0.872041, Average Loss  0.868997, Time  0.264456
2021-09-16 12:06:54.003107 : Epoch  6, Batch     21, Loss  0.875749, Average Loss  0.869171, Time  0.239936
2021-09-16 12:06:54.577603 : Epoch  7, Batch   1730, Loss  0.854392, Average Loss  0.868912, Time  0.265123
2021-09-16 12:06:56.578259 : Epoch  6, Batch     22, Loss  0.870428, Average Loss  0.869240, Time  0.238270
2021-09-16 12:06:57.555993 : Epoch  7, Batch   1731, Loss  0.846617, Average Loss  0.868757, Time  0.264491
2021-09-16 12:06:59.141039 : Epoch  6, Batch     23, Loss  0.865094, Average Loss  0.869323, Time  0.238280
2021-09-16 12:07:00.550022 : Epoch  7, Batch   1732, Loss  0.868405, Average Loss  0.868796, Time  0.263884
2021-09-16 12:07:01.706049 : Epoch  6, Batch     24, Loss  0.868472, Average Loss  0.869168, Time  0.238120
2021-09-16 12:07:03.503925 : Epoch  7, Batch   1733, Loss  0.864311, Average Loss  0.868739, Time  0.265029
2021-09-16 12:07:04.277981 : Epoch  6, Batch     25, Loss  0.872913, Average Loss  0.869239, Time  0.238146
2021-09-16 12:07:06.489725 : Epoch  7, Batch   1734, Loss  0.863724, Average Loss  0.868598, Time  0.265972
2021-09-16 12:07:06.866341 : Epoch  6, Batch     26, Loss  0.867021, Average Loss  0.869216, Time  0.238382
2021-09-16 12:07:09.426765 : Epoch  6, Batch     27, Loss  0.880472, Average Loss  0.869314, Time  0.238342
2021-09-16 12:07:09.472457 : Epoch  7, Batch   1735, Loss  0.864072, Average Loss  0.868578, Time  0.265069
2021-09-16 12:07:11.989245 : Epoch  6, Batch     28, Loss  0.870425, Average Loss  0.869459, Time  0.238348
2021-09-16 12:07:12.446949 : Epoch  7, Batch   1736, Loss  0.866683, Average Loss  0.868590, Time  0.275640
2021-09-16 12:07:14.552995 : Epoch  6, Batch     29, Loss  0.856324, Average Loss  0.869335, Time  0.238506
2021-09-16 12:07:15.397911 : Epoch  7, Batch   1737, Loss  0.887917, Average Loss  0.868740, Time  0.265095
2021-09-16 12:07:17.118958 : Epoch  6, Batch     30, Loss  0.878172, Average Loss  0.869327, Time  0.238274
2021-09-16 12:07:18.377025 : Epoch  7, Batch   1738, Loss  0.893811, Average Loss  0.869007, Time  0.264452
2021-09-16 12:07:19.683970 : Epoch  6, Batch     31, Loss  0.895402, Average Loss  0.869453, Time  0.238024
2021-09-16 12:07:21.358986 : Epoch  7, Batch   1739, Loss  0.862106, Average Loss  0.868967, Time  0.264502
2021-09-16 12:07:22.252072 : Epoch  6, Batch     32, Loss  0.873070, Average Loss  0.869369, Time  0.238437
2021-09-16 12:07:24.312404 : Epoch  7, Batch   1740, Loss  0.851790, Average Loss  0.868951, Time  0.264871
2021-09-16 12:07:24.825227 : Epoch  6, Batch     33, Loss  0.878334, Average Loss  0.869536, Time  0.238222
2021-09-16 12:07:27.303743 : Epoch  7, Batch   1741, Loss  0.868066, Average Loss  0.868927, Time  0.263668
2021-09-16 12:07:27.383709 : Epoch  6, Batch     34, Loss  0.862309, Average Loss  0.869500, Time  0.238271
2021-09-16 12:07:29.945348 : Epoch  6, Batch     35, Loss  0.874247, Average Loss  0.869467, Time  0.238346
2021-09-16 12:07:30.264829 : Epoch  7, Batch   1742, Loss  0.883878, Average Loss  0.868985, Time  0.263817
2021-09-16 12:07:32.511742 : Epoch  6, Batch     36, Loss  0.875129, Average Loss  0.869545, Time  0.238143
2021-09-16 12:07:33.200259 : Epoch  7, Batch   1743, Loss  0.879498, Average Loss  0.869020, Time  0.264498
2021-09-16 12:07:35.080247 : Epoch  6, Batch     37, Loss  0.869411, Average Loss  0.869541, Time  0.238072
2021-09-16 12:07:36.152772 : Epoch  7, Batch   1744, Loss  0.851562, Average Loss  0.868810, Time  0.264939
2021-09-16 12:07:37.643038 : Epoch  6, Batch     38, Loss  0.861780, Average Loss  0.869572, Time  0.238288
2021-09-16 12:07:39.125768 : Epoch  7, Batch   1745, Loss  0.868243, Average Loss  0.868842, Time  0.264265
2021-09-16 12:07:40.207715 : Epoch  6, Batch     39, Loss  0.866043, Average Loss  0.869541, Time  0.239496
2021-09-16 12:07:42.135623 : Epoch  7, Batch   1746, Loss  0.897527, Average Loss  0.869014, Time  0.264056
2021-09-16 12:07:42.809771 : Epoch  6, Batch     40, Loss  0.878359, Average Loss  0.869565, Time  0.238452
2021-09-16 12:07:45.140683 : Epoch  7, Batch   1747, Loss  0.870236, Average Loss  0.868993, Time  0.264964
2021-09-16 12:07:45.402464 : Epoch  6, Batch     41, Loss  0.862584, Average Loss  0.869587, Time  0.238863
2021-09-16 12:07:47.961743 : Epoch  6, Batch     42, Loss  0.854709, Average Loss  0.869592, Time  0.239081
2021-09-16 12:07:48.107375 : Epoch  7, Batch   1748, Loss  0.865014, Average Loss  0.869017, Time  0.264609
2021-09-16 12:07:50.526759 : Epoch  6, Batch     43, Loss  0.865013, Average Loss  0.869706, Time  0.238645
2021-09-16 12:07:51.090424 : Epoch  7, Batch   1749, Loss  0.865390, Average Loss  0.868997, Time  0.263730
2021-09-16 12:07:53.094737 : Epoch  6, Batch     44, Loss  0.870565, Average Loss  0.869714, Time  0.238530
2021-09-16 12:07:54.066032 : Epoch  7, Batch   1750, Loss  0.858430, Average Loss  0.868993, Time  0.264831
2021-09-16 12:07:55.669722 : Epoch  6, Batch     45, Loss  0.851025, Average Loss  0.869554, Time  0.240022
2021-09-16 12:07:57.072257 : Epoch  7, Batch   1751, Loss  0.884163, Average Loss  0.868957, Time  0.277013
2021-09-16 12:07:58.240746 : Epoch  6, Batch     46, Loss  0.883128, Average Loss  0.869586, Time  0.239774
2021-09-16 12:08:00.051803 : Epoch  7, Batch   1752, Loss  0.834899, Average Loss  0.868762, Time  0.264728
2021-09-16 12:08:00.805729 : Epoch  6, Batch     47, Loss  0.851237, Average Loss  0.869465, Time  0.238298
2021-09-16 12:08:03.018012 : Epoch  7, Batch   1753, Loss  0.855160, Average Loss  0.868726, Time  0.264806
2021-09-16 12:08:03.372702 : Epoch  6, Batch     48, Loss  0.865370, Average Loss  0.869496, Time  0.238198
2021-09-16 12:08:05.923972 : Epoch  6, Batch     49, Loss  0.868944, Average Loss  0.869529, Time  0.238612
2021-09-16 12:08:06.038818 : Epoch  7, Batch   1754, Loss  0.878136, Average Loss  0.868713, Time  0.267226
2021-09-16 12:08:08.485285 : Epoch  6, Batch     50, Loss  0.862780, Average Loss  0.869607, Time  0.238169
2021-09-16 12:08:09.011756 : Epoch  7, Batch   1755, Loss  0.863701, Average Loss  0.868669, Time  0.263757
2021-09-16 12:08:11.046010 : Epoch  6, Batch     51, Loss  0.855243, Average Loss  0.869514, Time  0.238150
2021-09-16 12:08:12.023948 : Epoch  7, Batch   1756, Loss  0.879552, Average Loss  0.868750, Time  0.264838
2021-09-16 12:08:13.617048 : Epoch  6, Batch     52, Loss  0.873787, Average Loss  0.869474, Time  0.239069
2021-09-16 12:08:15.003407 : Epoch  7, Batch   1757, Loss  0.876358, Average Loss  0.868819, Time  0.264829
2021-09-16 12:08:16.198025 : Epoch  6, Batch     53, Loss  0.879222, Average Loss  0.869580, Time  0.238326
2021-09-16 12:08:17.975215 : Epoch  7, Batch   1758, Loss  0.867978, Average Loss  0.868788, Time  0.264756
2021-09-16 12:08:18.764948 : Epoch  6, Batch     54, Loss  0.854190, Average Loss  0.869491, Time  0.238255
2021-09-16 12:08:20.918406 : Epoch  7, Batch   1759, Loss  0.878223, Average Loss  0.868787, Time  0.263312
2021-09-16 12:08:21.338716 : Epoch  6, Batch     55, Loss  0.868158, Average Loss  0.869396, Time  0.238478
2021-09-16 12:08:23.826256 : Epoch  7, Batch   1760, Loss  0.868707, Average Loss  0.868834, Time  0.263441
2021-09-16 12:08:23.902733 : Epoch  6, Batch     56, Loss  0.862590, Average Loss  0.869451, Time  0.238988
2021-09-16 12:08:26.467784 : Epoch  6, Batch     57, Loss  0.857078, Average Loss  0.869316, Time  0.238374
2021-09-16 12:08:26.808936 : Epoch  7, Batch   1761, Loss  0.871177, Average Loss  0.868890, Time  0.264743
2021-09-16 12:08:29.034729 : Epoch  6, Batch     58, Loss  0.870365, Average Loss  0.869373, Time  0.238708
2021-09-16 12:08:29.806428 : Epoch  7, Batch   1762, Loss  0.882507, Average Loss  0.868945, Time  0.264833
2021-09-16 12:08:31.599023 : Epoch  6, Batch     59, Loss  0.842245, Average Loss  0.869247, Time  0.238627
2021-09-16 12:08:32.802450 : Epoch  7, Batch   1763, Loss  0.858358, Average Loss  0.868850, Time  0.264933
2021-09-16 12:08:34.162514 : Epoch  6, Batch     60, Loss  0.873363, Average Loss  0.869327, Time  0.238802
2021-09-16 12:08:35.783462 : Epoch  7, Batch   1764, Loss  0.869931, Average Loss  0.868876, Time  0.264104
2021-09-16 12:08:36.724005 : Epoch  6, Batch     61, Loss  0.889804, Average Loss  0.869392, Time  0.238098
2021-09-16 12:08:39.313249 : Epoch  6, Batch     62, Loss  0.876082, Average Loss  0.869381, Time  0.238379
2021-09-16 12:08:41.898830 : Epoch  6, Batch     63, Loss  0.856752, Average Loss  0.869347, Time  0.239546
2021-09-16 12:08:44.479231 : Epoch  6, Batch     64, Loss  0.863515, Average Loss  0.869264, Time  0.238227
2021-09-16 12:08:47.049778 : Epoch  6, Batch     65, Loss  0.869146, Average Loss  0.869213, Time  0.238990
2021-09-16 12:08:49.619925 : Epoch  6, Batch     66, Loss  0.862891, Average Loss  0.869236, Time  0.239116
2021-09-16 12:08:52.180678 : Epoch  6, Batch     67, Loss  0.885147, Average Loss  0.869336, Time  0.238513
2021-09-16 12:08:54.779719 : Epoch  6, Batch     68, Loss  0.858286, Average Loss  0.869293, Time  0.238582
2021-09-16 12:08:57.364967 : Epoch  6, Batch     69, Loss  0.876627, Average Loss  0.869392, Time  0.238484
2021-09-16 12:08:59.934910 : Epoch  6, Batch     70, Loss  0.869173, Average Loss  0.869456, Time  0.238307
2021-09-16 12:09:02.500979 : Epoch  6, Batch     71, Loss  0.858382, Average Loss  0.869355, Time  0.238288
2021-09-16 12:09:05.075963 : Epoch  6, Batch     72, Loss  0.892796, Average Loss  0.869423, Time  0.238737
2021-09-16 12:09:07.648974 : Epoch  6, Batch     73, Loss  0.859511, Average Loss  0.869396, Time  0.238257
2021-09-16 12:09:10.216759 : Epoch  6, Batch     74, Loss  0.865060, Average Loss  0.869370, Time  0.238123
2021-09-16 12:09:12.794007 : Epoch  6, Batch     75, Loss  0.849419, Average Loss  0.869193, Time  0.238580
2021-09-16 12:09:15.363796 : Epoch  6, Batch     76, Loss  0.882627, Average Loss  0.869187, Time  0.238291
2021-09-16 12:09:17.920248 : Epoch  6, Batch     77, Loss  0.861074, Average Loss  0.869194, Time  0.238032
2021-09-16 12:09:20.475268 : Epoch  6, Batch     78, Loss  0.879099, Average Loss  0.869310, Time  0.238250
2021-09-16 12:09:23.033919 : Epoch  6, Batch     79, Loss  0.880989, Average Loss  0.869291, Time  0.238463
2021-09-16 12:09:25.600735 : Epoch  6, Batch     80, Loss  0.873805, Average Loss  0.869358, Time  0.238493
2021-09-16 12:09:28.161322 : Epoch  6, Batch     81, Loss  0.887094, Average Loss  0.869463, Time  0.238242
2021-09-16 12:09:30.722921 : Epoch  6, Batch     82, Loss  0.881221, Average Loss  0.869485, Time  0.238182
2021-09-16 12:09:33.296235 : Epoch  6, Batch     83, Loss  0.877736, Average Loss  0.869382, Time  0.238025
2021-09-16 12:09:35.878040 : Epoch  6, Batch     84, Loss  0.872086, Average Loss  0.869436, Time  0.238554
2021-09-16 12:09:38.442853 : Epoch  6, Batch     85, Loss  0.875541, Average Loss  0.869457, Time  0.238270
2021-09-16 12:09:41.010733 : Epoch  6, Batch     86, Loss  0.863386, Average Loss  0.869461, Time  0.239201
2021-09-16 12:09:43.582978 : Epoch  6, Batch     87, Loss  0.860010, Average Loss  0.869412, Time  0.238421
2021-09-16 12:09:46.157750 : Epoch  6, Batch     88, Loss  0.884178, Average Loss  0.869538, Time  0.239123
2021-09-16 12:09:48.748911 : Epoch  6, Batch     89, Loss  0.875430, Average Loss  0.869672, Time  0.238686
2021-09-16 12:09:51.312979 : Epoch  6, Batch     90, Loss  0.891342, Average Loss  0.869856, Time  0.238723
2021-09-16 12:09:53.882010 : Epoch  6, Batch     91, Loss  0.858661, Average Loss  0.869850, Time  0.238292
2021-09-16 12:09:56.466718 : Epoch  6, Batch     92, Loss  0.870324, Average Loss  0.869909, Time  0.238935
2021-09-16 12:09:59.043121 : Epoch  6, Batch     93, Loss  0.866424, Average Loss  0.869942, Time  0.238253
2021-09-16 12:10:01.607708 : Epoch  6, Batch     94, Loss  0.866906, Average Loss  0.869953, Time  0.239213
2021-09-16 12:10:04.174096 : Epoch  6, Batch     95, Loss  0.880322, Average Loss  0.869935, Time  0.238421
2021-09-16 12:10:06.750078 : Epoch  6, Batch     96, Loss  0.879737, Average Loss  0.869911, Time  0.238224
2021-09-16 12:10:09.320260 : Epoch  6, Batch     97, Loss  0.870327, Average Loss  0.869875, Time  0.238193
2021-09-16 12:10:11.890041 : Epoch  6, Batch     98, Loss  0.877423, Average Loss  0.869940, Time  0.238224
2021-09-16 12:10:14.463017 : Epoch  6, Batch     99, Loss  0.861564, Average Loss  0.869872, Time  0.238400
2021-09-16 12:10:17.039451 : Epoch  6, Batch    100, Loss  0.879495, Average Loss  0.869835, Time  0.238378
2021-09-16 12:10:19.632223 : Epoch  6, Batch    101, Loss  0.851783, Average Loss  0.869806, Time  0.237909
2021-09-16 12:10:22.219336 : Epoch  6, Batch    102, Loss  0.867905, Average Loss  0.869751, Time  0.244863
2021-09-16 12:10:24.787983 : Epoch  6, Batch    103, Loss  0.879986, Average Loss  0.869836, Time  0.238087
2021-09-16 12:10:27.373961 : Epoch  6, Batch    104, Loss  0.864490, Average Loss  0.869915, Time  0.238340
2021-09-16 12:10:29.950132 : Epoch  6, Batch    105, Loss  0.871081, Average Loss  0.869932, Time  0.238401
2021-09-16 12:10:32.515072 : Epoch  6, Batch    106, Loss  0.861638, Average Loss  0.870007, Time  0.238261
2021-09-16 12:10:35.082950 : Epoch  6, Batch    107, Loss  0.861969, Average Loss  0.869924, Time  0.238013
2021-09-16 12:10:37.654043 : Epoch  6, Batch    108, Loss  0.876594, Average Loss  0.869909, Time  0.238419
2021-09-16 12:10:40.229992 : Epoch  6, Batch    109, Loss  0.865793, Average Loss  0.869900, Time  0.238099
2021-09-16 12:10:42.849998 : Epoch  6, Batch    110, Loss  0.881320, Average Loss  0.869980, Time  0.239330
2021-09-16 12:10:45.420029 : Epoch  6, Batch    111, Loss  0.871614, Average Loss  0.870002, Time  0.238484
2021-09-16 12:10:47.995772 : Epoch  6, Batch    112, Loss  0.877065, Average Loss  0.869970, Time  0.239314
2021-09-16 12:10:50.563940 : Epoch  6, Batch    113, Loss  0.852295, Average Loss  0.869956, Time  0.238146
2021-09-16 12:10:53.132974 : Epoch  6, Batch    114, Loss  0.872497, Average Loss  0.869953, Time  0.238687
2021-09-16 12:10:55.711851 : Epoch  6, Batch    115, Loss  0.856739, Average Loss  0.869989, Time  0.239004
2021-09-16 12:10:58.306967 : Epoch  6, Batch    116, Loss  0.830763, Average Loss  0.869721, Time  0.237992
2021-09-16 12:11:00.876107 : Epoch  6, Batch    117, Loss  0.870161, Average Loss  0.869743, Time  0.238632
2021-09-16 12:11:03.451263 : Epoch  6, Batch    118, Loss  0.866170, Average Loss  0.869761, Time  0.238376
2021-09-16 12:11:06.027220 : Epoch  6, Batch    119, Loss  0.885816, Average Loss  0.869808, Time  0.238107
2021-09-16 12:11:08.610800 : Epoch  6, Batch    120, Loss  0.851232, Average Loss  0.869769, Time  0.238538
2021-09-16 12:13:13.772492 : CheckPoint: Validation Loss  0.00030598, Best Loss  0.00029295
2021-09-16 12:13:16.756272 : Epoch  7, Batch   1765, Loss  0.879892, Average Loss  0.869059, Time  0.265208
2021-09-16 12:13:19.756513 : Epoch  7, Batch   1766, Loss  0.876882, Average Loss  0.869046, Time  0.265351
2021-09-16 12:13:22.762813 : Epoch  7, Batch   1767, Loss  0.864358, Average Loss  0.869075, Time  0.274732
2021-09-16 12:13:25.726669 : Epoch  7, Batch   1768, Loss  0.866557, Average Loss  0.869083, Time  0.263840
2021-09-16 12:13:28.689065 : Epoch  7, Batch   1769, Loss  0.877610, Average Loss  0.869036, Time  0.265136
2021-09-16 12:13:31.684651 : Epoch  7, Batch   1770, Loss  0.882400, Average Loss  0.869100, Time  0.264301
2021-09-16 12:13:34.658676 : Epoch  7, Batch   1771, Loss  0.870922, Average Loss  0.869174, Time  0.264895
2021-09-16 12:13:37.654909 : Epoch  7, Batch   1772, Loss  0.861377, Average Loss  0.869227, Time  0.266109
2021-09-16 12:13:40.641797 : Epoch  7, Batch   1773, Loss  0.867001, Average Loss  0.869239, Time  0.263736
2021-09-16 12:13:43.608918 : Epoch  7, Batch   1774, Loss  0.866556, Average Loss  0.869206, Time  0.264376
2021-09-16 12:13:46.571825 : Epoch  7, Batch   1775, Loss  0.859394, Average Loss  0.869084, Time  0.264398
2021-09-16 12:13:49.544777 : Epoch  7, Batch   1776, Loss  0.869702, Average Loss  0.869067, Time  0.264562
2021-09-16 12:13:52.536169 : Epoch  7, Batch   1777, Loss  0.859746, Average Loss  0.869080, Time  0.265406
2021-09-16 12:13:55.546687 : Epoch  7, Batch   1778, Loss  0.852949, Average Loss  0.868934, Time  0.263750
2021-09-16 12:13:58.511257 : Epoch  7, Batch   1779, Loss  0.865909, Average Loss  0.868995, Time  0.264008
2021-09-16 12:14:01.475449 : Epoch  7, Batch   1780, Loss  0.858279, Average Loss  0.868842, Time  0.264939
2021-09-16 12:14:04.481029 : Epoch  7, Batch   1781, Loss  0.872896, Average Loss  0.868837, Time  0.265007
2021-09-16 12:14:07.474488 : Epoch  7, Batch   1782, Loss  0.857920, Average Loss  0.868929, Time  0.274052
2021-09-16 12:14:10.442465 : Epoch  7, Batch   1783, Loss  0.872975, Average Loss  0.868873, Time  0.264206
2021-09-16 12:14:13.463860 : Epoch  7, Batch   1784, Loss  0.866826, Average Loss  0.868970, Time  0.265003
2021-09-16 12:14:16.471771 : Epoch  7, Batch   1785, Loss  0.874567, Average Loss  0.868973, Time  0.266153
2021-09-16 12:14:19.452110 : Epoch  7, Batch   1786, Loss  0.878757, Average Loss  0.869127, Time  0.266355
2021-09-16 12:14:22.417935 : Epoch  7, Batch   1787, Loss  0.877716, Average Loss  0.869127, Time  0.264672
2021-09-16 12:14:25.388758 : Epoch  7, Batch   1788, Loss  0.871799, Average Loss  0.869167, Time  0.264325
2021-09-16 12:14:28.354302 : Epoch  7, Batch   1789, Loss  0.872340, Average Loss  0.868972, Time  0.263645
2021-09-16 12:14:31.317819 : Epoch  7, Batch   1790, Loss  0.864590, Average Loss  0.868924, Time  0.264349
2021-09-16 12:14:34.305069 : Epoch  7, Batch   1791, Loss  0.869261, Average Loss  0.868980, Time  0.263891
2021-09-16 12:14:37.285361 : Epoch  7, Batch   1792, Loss  0.873191, Average Loss  0.868898, Time  0.266231
2021-09-16 12:14:40.291152 : Epoch  7, Batch   1793, Loss  0.852562, Average Loss  0.868808, Time  0.264890
2021-09-16 12:14:43.305771 : Epoch  7, Batch   1794, Loss  0.868900, Average Loss  0.868788, Time  0.265453
2021-09-16 12:14:46.297687 : Epoch  7, Batch   1795, Loss  0.857769, Average Loss  0.868659, Time  0.265004
2021-09-16 12:14:49.296385 : Epoch  7, Batch   1796, Loss  0.866390, Average Loss  0.868768, Time  0.264668
2021-09-16 12:14:52.265051 : Epoch  7, Batch   1797, Loss  0.869608, Average Loss  0.868752, Time  0.275701
2021-09-16 12:14:55.235859 : Epoch  7, Batch   1798, Loss  0.874044, Average Loss  0.868763, Time  0.263924
2021-09-16 12:14:58.225301 : Epoch  7, Batch   1799, Loss  0.863275, Average Loss  0.868678, Time  0.263345
2021-09-16 12:15:01.187039 : Epoch  7, Batch   1800, Loss  0.869626, Average Loss  0.868699, Time  0.264694
2021-09-16 12:15:04.152534 : Epoch  7, Batch   1801, Loss  0.868426, Average Loss  0.868764, Time  0.264351
2021-09-16 12:15:07.123010 : Epoch  7, Batch   1802, Loss  0.858598, Average Loss  0.868803, Time  0.262358
2021-09-16 12:15:08.848687 : CheckPoint: Validation Loss  0.00030884, Best Loss  0.00029207
2021-09-16 12:15:10.076264 : Epoch  7, Batch   1803, Loss  0.877729, Average Loss  0.868852, Time  0.264229
2021-09-16 12:15:11.420778 : Epoch  6, Batch    121, Loss  0.880891, Average Loss  0.869825, Time  0.240144
2021-09-16 12:15:13.049955 : Epoch  7, Batch   1804, Loss  0.873798, Average Loss  0.868925, Time  0.264229
2021-09-16 12:15:13.992060 : Epoch  6, Batch    122, Loss  0.855621, Average Loss  0.869817, Time  0.238373
2021-09-16 12:15:16.025173 : Epoch  7, Batch   1805, Loss  0.857754, Average Loss  0.869009, Time  0.264941
2021-09-16 12:15:16.554075 : Epoch  6, Batch    123, Loss  0.861534, Average Loss  0.869811, Time  0.238191
2021-09-16 12:15:19.033505 : Epoch  7, Batch   1806, Loss  0.858802, Average Loss  0.868917, Time  0.265185
2021-09-16 12:15:19.132765 : Epoch  6, Batch    124, Loss  0.860783, Average Loss  0.869776, Time  0.239680
2021-09-16 12:15:21.690013 : Epoch  6, Batch    125, Loss  0.874710, Average Loss  0.869742, Time  0.238290
2021-09-16 12:15:22.014501 : Epoch  7, Batch   1807, Loss  0.852943, Average Loss  0.868724, Time  0.264846
2021-09-16 12:15:24.258150 : Epoch  6, Batch    126, Loss  0.877537, Average Loss  0.869846, Time  0.238879
2021-09-16 12:15:24.998914 : Epoch  7, Batch   1808, Loss  0.879271, Average Loss  0.868739, Time  0.264633
2021-09-16 12:15:26.825079 : Epoch  6, Batch    127, Loss  0.865661, Average Loss  0.869846, Time  0.239228
2021-09-16 12:15:27.998467 : Epoch  7, Batch   1809, Loss  0.875091, Average Loss  0.868692, Time  0.265521
2021-09-16 12:15:29.387270 : Epoch  6, Batch    128, Loss  0.874712, Average Loss  0.869919, Time  0.238498
2021-09-16 12:15:31.009924 : Epoch  7, Batch   1810, Loss  0.846307, Average Loss  0.868492, Time  0.265247
2021-09-16 12:15:31.954973 : Epoch  6, Batch    129, Loss  0.854881, Average Loss  0.869914, Time  0.238363
2021-09-16 12:15:34.020493 : Epoch  7, Batch   1811, Loss  0.891914, Average Loss  0.868756, Time  0.265387
2021-09-16 12:15:34.529071 : Epoch  6, Batch    130, Loss  0.855803, Average Loss  0.869836, Time  0.239864
2021-09-16 12:15:37.049165 : Epoch  7, Batch   1812, Loss  0.878208, Average Loss  0.868781, Time  0.275242
2021-09-16 12:15:37.083260 : Epoch  6, Batch    131, Loss  0.881400, Average Loss  0.869936, Time  0.238232
2021-09-16 12:15:39.644059 : Epoch  6, Batch    132, Loss  0.877083, Average Loss  0.870078, Time  0.238759
2021-09-16 12:15:40.047311 : Epoch  7, Batch   1813, Loss  0.862517, Average Loss  0.868710, Time  0.265870
2021-09-16 12:15:42.216974 : Epoch  6, Batch    133, Loss  0.890552, Average Loss  0.870163, Time  0.239552
2021-09-16 12:15:43.043027 : Epoch  7, Batch   1814, Loss  0.875827, Average Loss  0.868743, Time  0.264561
2021-09-16 12:15:44.783736 : Epoch  6, Batch    134, Loss  0.878606, Average Loss  0.870140, Time  0.238202
2021-09-16 12:15:46.020359 : Epoch  7, Batch   1815, Loss  0.863502, Average Loss  0.868717, Time  0.265660
2021-09-16 12:15:47.349223 : Epoch  6, Batch    135, Loss  0.887800, Average Loss  0.870254, Time  0.238330
2021-09-16 12:15:49.011452 : Epoch  7, Batch   1816, Loss  0.851800, Average Loss  0.868753, Time  0.264283
2021-09-16 12:15:49.912755 : Epoch  6, Batch    136, Loss  0.863306, Average Loss  0.870151, Time  0.238566
2021-09-16 12:15:51.969767 : Epoch  7, Batch   1817, Loss  0.849456, Average Loss  0.868629, Time  0.263940
2021-09-16 12:15:52.476974 : Epoch  6, Batch    137, Loss  0.888266, Average Loss  0.870137, Time  0.238108
2021-09-16 12:15:54.962061 : Epoch  7, Batch   1818, Loss  0.867352, Average Loss  0.868629, Time  0.264765
2021-09-16 12:15:55.039256 : Epoch  6, Batch    138, Loss  0.856963, Average Loss  0.870060, Time  0.238283
2021-09-16 12:15:57.583315 : Epoch  6, Batch    139, Loss  0.867495, Average Loss  0.869990, Time  0.238182
2021-09-16 12:15:57.925950 : Epoch  7, Batch   1819, Loss  0.864574, Average Loss  0.868545, Time  0.264857
2021-09-16 12:16:00.145357 : Epoch  6, Batch    140, Loss  0.885512, Average Loss  0.870106, Time  0.238690
2021-09-16 12:16:00.889419 : Epoch  7, Batch   1820, Loss  0.860333, Average Loss  0.868544, Time  0.264273
2021-09-16 12:16:02.707050 : Epoch  6, Batch    141, Loss  0.868784, Average Loss  0.870071, Time  0.238257
2021-09-16 12:16:03.851542 : Epoch  7, Batch   1821, Loss  0.870911, Average Loss  0.868614, Time  0.264316
2021-09-16 12:16:05.272768 : Epoch  6, Batch    142, Loss  0.875986, Average Loss  0.870107, Time  0.238335
2021-09-16 12:16:06.816011 : Epoch  7, Batch   1822, Loss  0.890565, Average Loss  0.868739, Time  0.263549
2021-09-16 12:16:07.840700 : Epoch  6, Batch    143, Loss  0.875516, Average Loss  0.870104, Time  0.238406
2021-09-16 12:16:09.787275 : Epoch  7, Batch   1823, Loss  0.859348, Average Loss  0.868640, Time  0.265135
2021-09-16 12:16:10.406686 : Epoch  6, Batch    144, Loss  0.872365, Average Loss  0.870138, Time  0.238476
2021-09-16 12:16:12.747224 : Epoch  7, Batch   1824, Loss  0.879859, Average Loss  0.868762, Time  0.265127
2021-09-16 12:16:12.968691 : Epoch  6, Batch    145, Loss  0.893335, Average Loss  0.870136, Time  0.238515
2021-09-16 12:16:15.563710 : Epoch  6, Batch    146, Loss  0.872170, Average Loss  0.870218, Time  0.238669
2021-09-16 12:16:15.713054 : Epoch  7, Batch   1825, Loss  0.864511, Average Loss  0.868774, Time  0.264486
2021-09-16 12:16:18.133985 : Epoch  6, Batch    147, Loss  0.875227, Average Loss  0.870359, Time  0.238335
2021-09-16 12:16:18.657413 : Epoch  7, Batch   1826, Loss  0.866939, Average Loss  0.868836, Time  0.263803
2021-09-16 12:16:20.702115 : Epoch  6, Batch    148, Loss  0.857416, Average Loss  0.870374, Time  0.239131
2021-09-16 12:16:21.616608 : Epoch  7, Batch   1827, Loss  0.876203, Average Loss  0.868876, Time  0.264581
2021-09-16 12:16:23.265984 : Epoch  6, Batch    149, Loss  0.862137, Average Loss  0.870203, Time  0.238259
2021-09-16 12:16:24.523271 : Epoch  7, Batch   1828, Loss  0.864715, Average Loss  0.868854, Time  0.273738
2021-09-16 12:16:25.858127 : Epoch  6, Batch    150, Loss  0.873222, Average Loss  0.870237, Time  0.239709
2021-09-16 12:16:27.493910 : Epoch  7, Batch   1829, Loss  0.887971, Average Loss  0.868955, Time  0.264720
2021-09-16 12:16:28.426114 : Epoch  6, Batch    151, Loss  0.863635, Average Loss  0.870274, Time  0.238286
2021-09-16 12:16:30.469846 : Epoch  7, Batch   1830, Loss  0.874613, Average Loss  0.869053, Time  0.265620
2021-09-16 12:16:30.993721 : Epoch  6, Batch    152, Loss  0.873973, Average Loss  0.870348, Time  0.238522
2021-09-16 12:16:33.471326 : Epoch  7, Batch   1831, Loss  0.888347, Average Loss  0.869218, Time  0.264817
2021-09-16 12:16:33.591238 : Epoch  6, Batch    153, Loss  0.879485, Average Loss  0.870299, Time  0.238682
2021-09-16 12:16:36.146997 : Epoch  6, Batch    154, Loss  0.892155, Average Loss  0.870440, Time  0.238267
2021-09-16 12:16:36.468550 : Epoch  7, Batch   1832, Loss  0.879578, Average Loss  0.869295, Time  0.264272
2021-09-16 12:16:38.725747 : Epoch  6, Batch    155, Loss  0.882318, Average Loss  0.870487, Time  0.238781
2021-09-16 12:16:39.470087 : Epoch  7, Batch   1833, Loss  0.843470, Average Loss  0.869112, Time  0.266142
2021-09-16 12:16:41.297965 : Epoch  6, Batch    156, Loss  0.865368, Average Loss  0.870418, Time  0.238306
2021-09-16 12:16:42.458072 : Epoch  7, Batch   1834, Loss  0.867136, Average Loss  0.869125, Time  0.264402
2021-09-16 12:16:43.860041 : Epoch  6, Batch    157, Loss  0.872813, Average Loss  0.870380, Time  0.238330
2021-09-16 12:16:45.436635 : Epoch  7, Batch   1835, Loss  0.854148, Average Loss  0.869023, Time  0.265354
2021-09-16 12:16:46.428184 : Epoch  6, Batch    158, Loss  0.877945, Average Loss  0.870421, Time  0.238342
2021-09-16 12:16:48.396410 : Epoch  7, Batch   1836, Loss  0.882358, Average Loss  0.869046, Time  0.263994
2021-09-16 12:16:48.994016 : Epoch  6, Batch    159, Loss  0.880632, Average Loss  0.870535, Time  0.238266
2021-09-16 12:16:51.357593 : Epoch  7, Batch   1837, Loss  0.882835, Average Loss  0.869010, Time  0.263932
2021-09-16 12:16:51.567517 : Epoch  6, Batch    160, Loss  0.876749, Average Loss  0.870534, Time  0.238900
2021-09-16 12:16:54.131047 : Epoch  6, Batch    161, Loss  0.867312, Average Loss  0.870596, Time  0.238203
2021-09-16 12:16:54.321081 : Epoch  7, Batch   1838, Loss  0.851394, Average Loss  0.868900, Time  0.264233
2021-09-16 12:16:56.703718 : Epoch  6, Batch    162, Loss  0.867053, Average Loss  0.870670, Time  0.238172
2021-09-16 12:16:57.290827 : Epoch  7, Batch   1839, Loss  0.889957, Average Loss  0.868956, Time  0.264461
2021-09-16 12:16:59.271771 : Epoch  6, Batch    163, Loss  0.890325, Average Loss  0.870871, Time  0.238352
2021-09-16 12:17:00.279425 : Epoch  7, Batch   1840, Loss  0.871909, Average Loss  0.868982, Time  0.264176
2021-09-16 12:17:01.845100 : Epoch  6, Batch    164, Loss  0.902221, Average Loss  0.870961, Time  0.237761
2021-09-16 12:17:03.245370 : Epoch  7, Batch   1841, Loss  0.861770, Average Loss  0.868956, Time  0.264969
2021-09-16 12:17:04.409955 : Epoch  6, Batch    165, Loss  0.894492, Average Loss  0.871135, Time  0.238329
2021-09-16 12:17:06.244479 : Epoch  7, Batch   1842, Loss  0.891519, Average Loss  0.869052, Time  0.266402
2021-09-16 12:17:06.979696 : Epoch  6, Batch    166, Loss  0.884796, Average Loss  0.871178, Time  0.238536
2021-09-16 12:17:09.251907 : Epoch  7, Batch   1843, Loss  0.879038, Average Loss  0.868962, Time  0.277008
2021-09-16 12:17:09.548089 : Epoch  6, Batch    167, Loss  0.860048, Average Loss  0.871122, Time  0.238292
2021-09-16 12:17:12.140713 : Epoch  6, Batch    168, Loss  0.886350, Average Loss  0.871140, Time  0.238264
2021-09-16 12:17:12.274229 : Epoch  7, Batch   1844, Loss  0.887467, Average Loss  0.869108, Time  0.266250
2021-09-16 12:17:14.711780 : Epoch  6, Batch    169, Loss  0.863357, Average Loss  0.871098, Time  0.238333
2021-09-16 12:17:15.246254 : Epoch  7, Batch   1845, Loss  0.859091, Average Loss  0.869157, Time  0.266788
2021-09-16 12:17:17.281104 : Epoch  6, Batch    170, Loss  0.882019, Average Loss  0.871159, Time  0.238699
2021-09-16 12:17:18.220183 : Epoch  7, Batch   1846, Loss  0.878231, Average Loss  0.869283, Time  0.263941
2021-09-16 12:17:19.852058 : Epoch  6, Batch    171, Loss  0.874210, Average Loss  0.871254, Time  0.239527
2021-09-16 12:17:21.200953 : Epoch  7, Batch   1847, Loss  0.843256, Average Loss  0.869128, Time  0.265542
2021-09-16 12:17:22.426310 : Epoch  6, Batch    172, Loss  0.875234, Average Loss  0.871223, Time  0.238281
2021-09-16 12:17:24.199870 : Epoch  7, Batch   1848, Loss  0.871939, Average Loss  0.869130, Time  0.265393
2021-09-16 12:17:25.000786 : Epoch  6, Batch    173, Loss  0.877739, Average Loss  0.871261, Time  0.238925
2021-09-16 12:17:27.180622 : Epoch  7, Batch   1849, Loss  0.866912, Average Loss  0.869135, Time  0.264499
2021-09-16 12:17:27.569733 : Epoch  6, Batch    174, Loss  0.852492, Average Loss  0.871207, Time  0.239134
2021-09-16 12:17:30.126794 : Epoch  6, Batch    175, Loss  0.863653, Average Loss  0.871171, Time  0.238525
2021-09-16 12:17:30.175334 : Epoch  7, Batch   1850, Loss  0.877521, Average Loss  0.869200, Time  0.263625
2021-09-16 12:17:32.698441 : Epoch  6, Batch    176, Loss  0.853494, Average Loss  0.871086, Time  0.238792
2021-09-16 12:17:33.162791 : Epoch  7, Batch   1851, Loss  0.888501, Average Loss  0.869270, Time  0.267252
2021-09-16 12:17:35.266367 : Epoch  6, Batch    177, Loss  0.877858, Average Loss  0.871141, Time  0.238648
2021-09-16 12:17:36.161891 : Epoch  7, Batch   1852, Loss  0.856572, Average Loss  0.869242, Time  0.264585
2021-09-16 12:17:37.850069 : Epoch  6, Batch    178, Loss  0.868932, Average Loss  0.871041, Time  0.238354
2021-09-16 12:17:39.157746 : Epoch  7, Batch   1853, Loss  0.859050, Average Loss  0.869187, Time  0.264548
2021-09-16 12:17:40.424007 : Epoch  6, Batch    179, Loss  0.846402, Average Loss  0.870943, Time  0.238346
2021-09-16 12:17:42.149460 : Epoch  7, Batch   1854, Loss  0.884374, Average Loss  0.869358, Time  0.264576
2021-09-16 12:17:43.003938 : Epoch  6, Batch    180, Loss  0.852493, Average Loss  0.870912, Time  0.238479
2021-09-16 12:17:45.116454 : Epoch  7, Batch   1855, Loss  0.873183, Average Loss  0.869377, Time  0.265172
2021-09-16 12:17:45.570418 : Epoch  6, Batch    181, Loss  0.852055, Average Loss  0.870733, Time  0.238405
2021-09-16 12:17:48.104996 : Epoch  7, Batch   1856, Loss  0.883475, Average Loss  0.869508, Time  0.264468
2021-09-16 12:17:48.127910 : Epoch  6, Batch    182, Loss  0.874421, Average Loss  0.870729, Time  0.238266
2021-09-16 12:17:48.134810 : Saving Model after 7-th Epoch.
2021-09-16 12:17:49.143695 : Epoch Finished.
2021-09-16 12:17:50.690063 : Epoch  6, Batch    183, Loss  0.845065, Average Loss  0.870644, Time  0.239888
2021-09-16 12:17:53.253750 : Epoch  6, Batch    184, Loss  0.867063, Average Loss  0.870610, Time  0.238055
2021-09-16 12:17:55.821150 : Epoch  6, Batch    185, Loss  0.849840, Average Loss  0.870475, Time  0.238178
2021-09-16 12:17:55.968677 : Batch Shuffled
2021-09-16 12:17:58.394850 : Epoch  6, Batch    186, Loss  0.861979, Average Loss  0.870335, Time  0.238709
2021-09-16 12:17:59.013864 : Epoch  8, Batch      1, Loss  0.882417, Average Loss  0.869651, Time  0.277813
2021-09-16 12:18:00.968984 : Epoch  6, Batch    187, Loss  0.884382, Average Loss  0.870452, Time  0.238169
2021-09-16 12:18:02.058691 : Epoch  8, Batch      2, Loss  0.868452, Average Loss  0.869545, Time  0.265424
2021-09-16 12:18:03.537838 : Epoch  6, Batch    188, Loss  0.862903, Average Loss  0.870488, Time  0.238353
2021-09-16 12:18:05.085006 : Epoch  8, Batch      3, Loss  0.888481, Average Loss  0.869556, Time  0.264633
2021-09-16 12:18:06.098951 : Epoch  6, Batch    189, Loss  0.862482, Average Loss  0.870457, Time  0.238511
2021-09-16 12:18:08.171037 : Epoch  8, Batch      4, Loss  0.898278, Average Loss  0.869742, Time  0.264472
2021-09-16 12:18:08.660801 : Epoch  6, Batch    190, Loss  0.864521, Average Loss  0.870438, Time  0.238274
2021-09-16 12:18:11.158132 : Epoch  8, Batch      5, Loss  0.862915, Average Loss  0.869687, Time  0.265735
2021-09-16 12:18:11.207175 : Epoch  6, Batch    191, Loss  0.842458, Average Loss  0.870324, Time  0.238459
2021-09-16 12:18:13.770723 : Epoch  6, Batch    192, Loss  0.872105, Average Loss  0.870374, Time  0.238279
2021-09-16 12:18:14.137910 : Epoch  8, Batch      6, Loss  0.873621, Average Loss  0.869678, Time  0.263491
2021-09-16 12:18:16.332714 : Epoch  6, Batch    193, Loss  0.850953, Average Loss  0.870439, Time  0.238145
2021-09-16 12:18:17.127057 : Epoch  8, Batch      7, Loss  0.888181, Average Loss  0.869627, Time  0.265618
2021-09-16 12:18:18.907024 : Epoch  6, Batch    194, Loss  0.868073, Average Loss  0.870366, Time  0.238480
2021-09-16 12:18:21.486378 : Epoch  6, Batch    195, Loss  0.841576, Average Loss  0.870202, Time  0.239146
2021-09-16 12:18:24.059078 : Epoch  6, Batch    196, Loss  0.859823, Average Loss  0.870214, Time  0.238441
2021-09-16 12:18:26.627051 : Epoch  6, Batch    197, Loss  0.864621, Average Loss  0.870213, Time  0.239444
2021-09-16 12:18:26.871942 : Epoch  8, Batch      8, Loss  0.879829, Average Loss  0.869727, Time  0.265598
2021-09-16 12:18:29.203886 : Epoch  6, Batch    198, Loss  0.869544, Average Loss  0.870146, Time  0.238752
2021-09-16 12:18:31.783975 : Epoch  6, Batch    199, Loss  0.861119, Average Loss  0.870130, Time  0.238562
2021-09-16 12:18:34.352966 : Epoch  6, Batch    200, Loss  0.889014, Average Loss  0.870171, Time  0.239694
2021-09-16 12:18:36.917085 : Epoch  6, Batch    201, Loss  0.859028, Average Loss  0.870094, Time  0.238574
2021-09-16 12:18:39.482129 : Epoch  6, Batch    202, Loss  0.876856, Average Loss  0.870070, Time  0.238367
2021-09-16 12:18:42.046975 : Epoch  6, Batch    203, Loss  0.868086, Average Loss  0.870108, Time  0.238385
2021-09-16 12:18:44.619027 : Epoch  6, Batch    204, Loss  0.862262, Average Loss  0.870126, Time  0.238255
2021-09-16 12:18:47.180993 : Epoch  6, Batch    205, Loss  0.863450, Average Loss  0.870107, Time  0.238207
2021-09-16 12:18:49.745992 : Epoch  6, Batch    206, Loss  0.868558, Average Loss  0.870088, Time  0.238249
2021-09-16 12:18:52.310175 : Epoch  6, Batch    207, Loss  0.856125, Average Loss  0.870006, Time  0.238274
2021-09-16 12:18:54.874069 : Epoch  6, Batch    208, Loss  0.883075, Average Loss  0.870055, Time  0.238278
2021-09-16 12:18:57.443868 : Epoch  6, Batch    209, Loss  0.874415, Average Loss  0.870086, Time  0.238158
2021-09-16 12:19:00.007753 : Epoch  6, Batch    210, Loss  0.862591, Average Loss  0.869933, Time  0.238692
2021-09-16 12:19:02.583971 : Epoch  6, Batch    211, Loss  0.884502, Average Loss  0.869929, Time  0.238930
2021-09-16 12:19:05.157980 : Epoch  6, Batch    212, Loss  0.844376, Average Loss  0.869745, Time  0.238454
2021-09-16 12:19:07.722138 : Epoch  6, Batch    213, Loss  0.867016, Average Loss  0.869803, Time  0.238412
2021-09-16 12:19:10.292045 : Epoch  6, Batch    214, Loss  0.873411, Average Loss  0.869758, Time  0.238454
2021-09-16 12:19:12.855244 : Epoch  6, Batch    215, Loss  0.880070, Average Loss  0.869816, Time  0.238060
2021-09-16 12:19:15.421758 : Epoch  6, Batch    216, Loss  0.877570, Average Loss  0.869829, Time  0.238220
2021-09-16 12:19:18.001059 : Epoch  6, Batch    217, Loss  0.877596, Average Loss  0.869778, Time  0.238349
2021-09-16 12:19:20.569807 : Epoch  6, Batch    218, Loss  0.875477, Average Loss  0.869738, Time  0.239282
2021-09-16 12:19:23.138597 : Epoch  6, Batch    219, Loss  0.864833, Average Loss  0.869648, Time  0.238349
2021-09-16 12:19:25.706888 : Epoch  6, Batch    220, Loss  0.886883, Average Loss  0.869690, Time  0.238903
2021-09-16 12:23:04.447498 : CheckPoint: Validation Loss  0.00030287, Best Loss  0.00029295
2021-09-16 12:23:07.447624 : Epoch  8, Batch      9, Loss  0.857351, Average Loss  0.869653, Time  0.265939
2021-09-16 12:23:10.507007 : Epoch  8, Batch     10, Loss  0.878724, Average Loss  0.869645, Time  0.266273
2021-09-16 12:23:13.494137 : Epoch  8, Batch     11, Loss  0.881510, Average Loss  0.869858, Time  0.265161
2021-09-16 12:23:16.488175 : Epoch  8, Batch     12, Loss  0.886067, Average Loss  0.869989, Time  0.265962
2021-09-16 12:23:19.478147 : Epoch  8, Batch     13, Loss  0.874123, Average Loss  0.869885, Time  0.276119
2021-09-16 12:23:22.471906 : Epoch  8, Batch     14, Loss  0.852622, Average Loss  0.869785, Time  0.264118
2021-09-16 12:23:25.470929 : Epoch  8, Batch     15, Loss  0.880081, Average Loss  0.869829, Time  0.264452
2021-09-16 12:23:26.002696 : CheckPoint: Validation Loss  0.00030083, Best Loss  0.00029207
2021-09-16 12:23:28.497049 : Epoch  8, Batch     16, Loss  0.858196, Average Loss  0.869822, Time  0.264792
2021-09-16 12:23:28.597932 : Epoch  6, Batch    221, Loss  0.867366, Average Loss  0.869648, Time  0.239745
2021-09-16 12:23:31.158021 : Epoch  6, Batch    222, Loss  0.885648, Average Loss  0.869724, Time  0.238208
2021-09-16 12:23:31.522359 : Epoch  8, Batch     17, Loss  0.870935, Average Loss  0.869783, Time  0.266319
2021-09-16 12:23:33.726376 : Epoch  6, Batch    223, Loss  0.882478, Average Loss  0.869811, Time  0.238423
2021-09-16 12:23:34.532455 : Epoch  8, Batch     18, Loss  0.881902, Average Loss  0.869792, Time  0.263865
2021-09-16 12:23:36.291948 : Epoch  6, Batch    224, Loss  0.885035, Average Loss  0.869894, Time  0.238385
2021-09-16 12:23:37.519673 : Epoch  8, Batch     19, Loss  0.857970, Average Loss  0.869656, Time  0.263293
2021-09-16 12:23:38.858176 : Epoch  6, Batch    225, Loss  0.879345, Average Loss  0.869926, Time  0.238275
2021-09-16 12:23:40.507351 : Epoch  8, Batch     20, Loss  0.871926, Average Loss  0.869587, Time  0.264859
2021-09-16 12:23:41.425260 : Epoch  6, Batch    226, Loss  0.857056, Average Loss  0.869877, Time  0.238529
2021-09-16 12:23:43.515018 : Epoch  8, Batch     21, Loss  0.862677, Average Loss  0.869471, Time  0.263971
2021-09-16 12:23:43.988914 : Epoch  6, Batch    227, Loss  0.878744, Average Loss  0.869868, Time  0.238047
2021-09-16 12:23:46.514406 : Epoch  8, Batch     22, Loss  0.841637, Average Loss  0.869182, Time  0.265524
2021-09-16 12:23:46.552773 : Epoch  6, Batch    228, Loss  0.862897, Average Loss  0.869830, Time  0.238243
2021-09-16 12:23:49.113487 : Epoch  6, Batch    229, Loss  0.871973, Average Loss  0.869909, Time  0.238565
2021-09-16 12:23:49.508931 : Epoch  8, Batch     23, Loss  0.847226, Average Loss  0.869108, Time  0.264005
2021-09-16 12:23:51.685041 : Epoch  6, Batch    230, Loss  0.843320, Average Loss  0.869734, Time  0.238230
2021-09-16 12:23:52.533376 : Epoch  8, Batch     24, Loss  0.871442, Average Loss  0.869150, Time  0.265350
2021-09-16 12:23:54.251011 : Epoch  6, Batch    231, Loss  0.848527, Average Loss  0.869500, Time  0.238290
2021-09-16 12:23:55.566577 : Epoch  8, Batch     25, Loss  0.859999, Average Loss  0.869109, Time  0.265724
2021-09-16 12:23:56.830252 : Epoch  6, Batch    232, Loss  0.893988, Average Loss  0.869604, Time  0.238711
2021-09-16 12:23:58.583718 : Epoch  8, Batch     26, Loss  0.869455, Average Loss  0.869121, Time  0.264168
2021-09-16 12:23:59.400043 : Epoch  6, Batch    233, Loss  0.874183, Average Loss  0.869584, Time  0.239288
2021-09-16 12:24:01.600707 : Epoch  8, Batch     27, Loss  0.878094, Average Loss  0.869229, Time  0.264236
2021-09-16 12:24:01.976010 : Epoch  6, Batch    234, Loss  0.840742, Average Loss  0.869476, Time  0.238208
2021-09-16 12:24:04.539324 : Epoch  6, Batch    235, Loss  0.892182, Average Loss  0.869566, Time  0.239140
2021-09-16 12:24:04.614122 : Epoch  8, Batch     28, Loss  0.889297, Average Loss  0.869268, Time  0.275282
2021-09-16 12:24:07.104960 : Epoch  6, Batch    236, Loss  0.863122, Average Loss  0.869506, Time  0.238703
2021-09-16 12:24:07.605074 : Epoch  8, Batch     29, Loss  0.886321, Average Loss  0.869452, Time  0.264209
2021-09-16 12:24:09.670994 : Epoch  6, Batch    237, Loss  0.871846, Average Loss  0.869518, Time  0.238459
2021-09-16 12:24:10.606333 : Epoch  8, Batch     30, Loss  0.857893, Average Loss  0.869304, Time  0.264074
2021-09-16 12:24:12.233365 : Epoch  6, Batch    238, Loss  0.873537, Average Loss  0.869576, Time  0.238652
2021-09-16 12:24:13.595766 : Epoch  8, Batch     31, Loss  0.883637, Average Loss  0.869364, Time  0.264093
2021-09-16 12:24:14.805715 : Epoch  6, Batch    239, Loss  0.886180, Average Loss  0.869677, Time  0.238539
2021-09-16 12:24:16.599288 : Epoch  8, Batch     32, Loss  0.877573, Average Loss  0.869318, Time  0.264393
2021-09-16 12:24:17.377354 : Epoch  6, Batch    240, Loss  0.869647, Average Loss  0.869634, Time  0.238257
2021-09-16 12:24:19.614832 : Epoch  8, Batch     33, Loss  0.867987, Average Loss  0.869390, Time  0.264004
2021-09-16 12:24:19.950716 : Epoch  6, Batch    241, Loss  0.885155, Average Loss  0.869746, Time  0.238034
2021-09-16 12:24:22.506159 : Epoch  6, Batch    242, Loss  0.879181, Average Loss  0.869869, Time  0.238183
2021-09-16 12:24:22.610731 : Epoch  8, Batch     34, Loss  0.869848, Average Loss  0.869335, Time  0.263434
2021-09-16 12:24:25.075347 : Epoch  6, Batch    243, Loss  0.877965, Average Loss  0.869934, Time  0.238194
2021-09-16 12:24:25.625536 : Epoch  8, Batch     35, Loss  0.872468, Average Loss  0.869450, Time  0.264370
2021-09-16 12:24:27.636683 : Epoch  6, Batch    244, Loss  0.876690, Average Loss  0.869964, Time  0.238631
2021-09-16 12:24:28.643552 : Epoch  8, Batch     36, Loss  0.847980, Average Loss  0.869335, Time  0.264849
2021-09-16 12:24:30.210247 : Epoch  6, Batch    245, Loss  0.879523, Average Loss  0.870107, Time  0.238227
2021-09-16 12:24:31.646977 : Epoch  8, Batch     37, Loss  0.876744, Average Loss  0.869327, Time  0.265048
2021-09-16 12:24:32.776978 : Epoch  6, Batch    246, Loss  0.884189, Average Loss  0.870112, Time  0.238527
2021-09-16 12:24:34.640496 : Epoch  8, Batch     38, Loss  0.865247, Average Loss  0.869347, Time  0.264251
2021-09-16 12:24:35.382108 : Epoch  6, Batch    247, Loss  0.848938, Average Loss  0.870100, Time  0.238390
2021-09-16 12:24:37.643437 : Epoch  8, Batch     39, Loss  0.845752, Average Loss  0.869183, Time  0.264701
2021-09-16 12:24:37.987047 : Epoch  6, Batch    248, Loss  0.885428, Average Loss  0.870201, Time  0.238359
2021-09-16 12:24:40.542288 : Epoch  6, Batch    249, Loss  0.870569, Average Loss  0.870209, Time  0.238466
2021-09-16 12:24:40.629971 : Epoch  8, Batch     40, Loss  0.878862, Average Loss  0.869255, Time  0.263899
2021-09-16 12:24:43.117989 : Epoch  6, Batch    250, Loss  0.872813, Average Loss  0.870259, Time  0.238002
2021-09-16 12:24:43.622798 : Epoch  8, Batch     41, Loss  0.855490, Average Loss  0.869267, Time  0.264927
2021-09-16 12:24:45.679990 : Epoch  6, Batch    251, Loss  0.858297, Average Loss  0.870274, Time  0.238236
2021-09-16 12:24:46.603014 : Epoch  8, Batch     42, Loss  0.892503, Average Loss  0.869406, Time  0.266844
2021-09-16 12:24:48.243908 : Epoch  6, Batch    252, Loss  0.864066, Average Loss  0.870226, Time  0.238375
2021-09-16 12:24:49.600948 : Epoch  8, Batch     43, Loss  0.864594, Average Loss  0.869361, Time  0.272296
2021-09-16 12:24:50.824973 : Epoch  6, Batch    253, Loss  0.879758, Average Loss  0.870228, Time  0.237933
2021-09-16 12:24:52.616873 : Epoch  8, Batch     44, Loss  0.866976, Average Loss  0.869303, Time  0.266569
2021-09-16 12:24:53.389023 : Epoch  6, Batch    254, Loss  0.878950, Average Loss  0.870352, Time  0.238774
2021-09-16 12:24:55.653968 : Epoch  8, Batch     45, Loss  0.864293, Average Loss  0.869211, Time  0.265754
2021-09-16 12:24:55.962414 : Epoch  6, Batch    255, Loss  0.879564, Average Loss  0.870409, Time  0.238658
2021-09-16 12:24:58.549827 : Epoch  6, Batch    256, Loss  0.863211, Average Loss  0.870412, Time  0.239300
2021-09-16 12:24:58.681764 : Epoch  8, Batch     46, Loss  0.866368, Average Loss  0.869140, Time  0.264684
2021-09-16 12:25:01.146368 : Epoch  6, Batch    257, Loss  0.858003, Average Loss  0.870417, Time  0.238596
2021-09-16 12:25:01.670610 : Epoch  8, Batch     47, Loss  0.840256, Average Loss  0.868998, Time  0.264459
2021-09-16 12:25:03.747782 : Epoch  6, Batch    258, Loss  0.868496, Average Loss  0.870408, Time  0.238949
2021-09-16 12:25:04.690703 : Epoch  8, Batch     48, Loss  0.866815, Average Loss  0.869079, Time  0.264833
2021-09-16 12:25:06.337023 : Epoch  6, Batch    259, Loss  0.856793, Average Loss  0.870480, Time  0.239039
2021-09-16 12:25:07.703924 : Epoch  8, Batch     49, Loss  0.866996, Average Loss  0.868949, Time  0.264263
2021-09-16 12:25:08.936272 : Epoch  6, Batch    260, Loss  0.860787, Average Loss  0.870418, Time  0.238678
2021-09-16 12:25:10.692561 : Epoch  8, Batch     50, Loss  0.865326, Average Loss  0.868916, Time  0.264836
2021-09-16 12:25:11.518959 : Epoch  6, Batch    261, Loss  0.860196, Average Loss  0.870269, Time  0.239434
2021-09-16 12:25:13.703091 : Epoch  8, Batch     51, Loss  0.847659, Average Loss  0.868866, Time  0.264322
2021-09-16 12:25:14.110717 : Epoch  6, Batch    262, Loss  0.860135, Average Loss  0.870190, Time  0.239568
2021-09-16 12:25:16.683996 : Epoch  6, Batch    263, Loss  0.872015, Average Loss  0.870266, Time  0.238335
2021-09-16 12:25:16.702291 : Epoch  8, Batch     52, Loss  0.887974, Average Loss  0.868948, Time  0.264725
2021-09-16 12:25:19.284890 : Epoch  6, Batch    264, Loss  0.862670, Average Loss  0.870262, Time  0.238513
2021-09-16 12:25:19.716258 : Epoch  8, Batch     53, Loss  0.880980, Average Loss  0.868941, Time  0.263792
2021-09-16 12:25:21.878059 : Epoch  6, Batch    265, Loss  0.877013, Average Loss  0.870301, Time  0.238484
2021-09-16 12:25:22.698207 : Epoch  8, Batch     54, Loss  0.875975, Average Loss  0.868889, Time  0.264166
2021-09-16 12:25:24.444993 : Epoch  6, Batch    266, Loss  0.881370, Average Loss  0.870394, Time  0.238395
2021-09-16 12:25:25.713501 : Epoch  8, Batch     55, Loss  0.881238, Average Loss  0.869007, Time  0.264245
2021-09-16 12:25:27.033010 : Epoch  6, Batch    267, Loss  0.869799, Average Loss  0.870317, Time  0.238070
2021-09-16 12:25:28.721890 : Epoch  8, Batch     56, Loss  0.866968, Average Loss  0.869034, Time  0.264215
2021-09-16 12:25:29.609776 : Epoch  6, Batch    268, Loss  0.872709, Average Loss  0.870389, Time  0.238586
2021-09-16 12:25:31.716855 : Epoch  8, Batch     57, Loss  0.869923, Average Loss  0.869160, Time  0.263697
2021-09-16 12:25:32.186711 : Epoch  6, Batch    269, Loss  0.860123, Average Loss  0.870306, Time  0.238244
2021-09-16 12:25:34.712446 : Epoch  8, Batch     58, Loss  0.850370, Average Loss  0.869110, Time  0.272680
2021-09-16 12:25:34.757242 : Epoch  6, Batch    270, Loss  0.863251, Average Loss  0.870277, Time  0.238295
2021-09-16 12:25:37.342967 : Epoch  6, Batch    271, Loss  0.853752, Average Loss  0.870254, Time  0.238567
2021-09-16 12:25:37.714198 : Epoch  8, Batch     59, Loss  0.871565, Average Loss  0.869128, Time  0.263679
2021-09-16 12:25:39.934271 : Epoch  6, Batch    272, Loss  0.852881, Average Loss  0.870054, Time  0.238200
2021-09-16 12:25:40.695078 : Epoch  8, Batch     60, Loss  0.851762, Average Loss  0.869025, Time  0.264859
2021-09-16 12:25:42.513111 : Epoch  6, Batch    273, Loss  0.878877, Average Loss  0.870151, Time  0.238309
2021-09-16 12:25:43.697178 : Epoch  8, Batch     61, Loss  0.842415, Average Loss  0.868989, Time  0.264120
2021-09-16 12:25:45.095981 : Epoch  6, Batch    274, Loss  0.869205, Average Loss  0.870172, Time  0.238205
2021-09-16 12:25:46.712006 : Epoch  8, Batch     62, Loss  0.869617, Average Loss  0.868989, Time  0.264870
2021-09-16 12:25:47.676795 : Epoch  6, Batch    275, Loss  0.872138, Average Loss  0.870285, Time  0.237927
2021-09-16 12:25:49.795260 : Epoch  8, Batch     63, Loss  0.855973, Average Loss  0.868927, Time  0.265477
2021-09-16 12:25:50.257803 : Epoch  6, Batch    276, Loss  0.886784, Average Loss  0.870306, Time  0.238745
2021-09-16 12:25:52.789707 : Epoch  8, Batch     64, Loss  0.878576, Average Loss  0.869078, Time  0.265379
2021-09-16 12:25:52.843248 : Epoch  6, Batch    277, Loss  0.878642, Average Loss  0.870394, Time  0.238247
2021-09-16 12:25:55.422562 : Epoch  6, Batch    278, Loss  0.873632, Average Loss  0.870367, Time  0.238266
2021-09-16 12:25:55.817255 : Epoch  8, Batch     65, Loss  0.869253, Average Loss  0.869032, Time  0.265760
2021-09-16 12:25:58.014125 : Epoch  6, Batch    279, Loss  0.889002, Average Loss  0.870407, Time  0.238706
2021-09-16 12:25:58.797895 : Epoch  8, Batch     66, Loss  0.871465, Average Loss  0.869057, Time  0.264173
2021-09-16 12:26:00.600678 : Epoch  6, Batch    280, Loss  0.878346, Average Loss  0.870429, Time  0.239335
2021-09-16 12:26:01.784291 : Epoch  8, Batch     67, Loss  0.876463, Average Loss  0.869039, Time  0.264045
2021-09-16 12:26:03.185288 : Epoch  6, Batch    281, Loss  0.861583, Average Loss  0.870302, Time  0.238115
2021-09-16 12:26:04.779515 : Epoch  8, Batch     68, Loss  0.874522, Average Loss  0.869161, Time  0.264618
2021-09-16 12:26:05.770829 : Epoch  6, Batch    282, Loss  0.873530, Average Loss  0.870263, Time  0.239744
2021-09-16 12:26:07.766616 : Epoch  8, Batch     69, Loss  0.862005, Average Loss  0.869225, Time  0.264138
2021-09-16 12:26:08.347105 : Epoch  6, Batch    283, Loss  0.860711, Average Loss  0.870178, Time  0.238890
2021-09-16 12:26:10.756192 : Epoch  8, Batch     70, Loss  0.850964, Average Loss  0.869111, Time  0.263869
2021-09-16 12:26:10.926997 : Epoch  6, Batch    284, Loss  0.848735, Average Loss  0.870061, Time  0.238614
2021-09-16 12:26:13.505313 : Epoch  6, Batch    285, Loss  0.881486, Average Loss  0.870091, Time  0.238510
2021-09-16 12:26:13.754286 : Epoch  8, Batch     71, Loss  0.871170, Average Loss  0.869041, Time  0.264317
2021-09-16 12:26:16.095012 : Epoch  6, Batch    286, Loss  0.866590, Average Loss  0.870107, Time  0.238160
2021-09-16 12:26:16.730086 : Epoch  8, Batch     72, Loss  0.874310, Average Loss  0.869122, Time  0.263536
2021-09-16 12:26:18.679195 : Epoch  6, Batch    287, Loss  0.872966, Average Loss  0.870172, Time  0.238906
2021-09-16 12:26:19.740896 : Epoch  8, Batch     73, Loss  0.888000, Average Loss  0.869202, Time  0.276860
2021-09-16 12:26:21.260980 : Epoch  6, Batch    288, Loss  0.888135, Average Loss  0.870192, Time  0.237964
2021-09-16 12:26:22.729392 : Epoch  8, Batch     74, Loss  0.846597, Average Loss  0.869163, Time  0.264746
2021-09-16 12:26:23.835000 : Epoch  6, Batch    289, Loss  0.855422, Average Loss  0.870092, Time  0.238151
2021-09-16 12:26:25.733291 : Epoch  8, Batch     75, Loss  0.880237, Average Loss  0.869331, Time  0.264068
2021-09-16 12:26:26.426397 : Epoch  6, Batch    290, Loss  0.881159, Average Loss  0.870041, Time  0.239045
2021-09-16 12:26:28.719869 : Epoch  8, Batch     76, Loss  0.865070, Average Loss  0.869315, Time  0.264799
2021-09-16 12:26:29.008598 : Epoch  6, Batch    291, Loss  0.881347, Average Loss  0.870154, Time  0.238379
2021-09-16 12:26:31.587770 : Epoch  6, Batch    292, Loss  0.859134, Average Loss  0.870098, Time  0.238396
2021-09-16 12:26:31.711685 : Epoch  8, Batch     77, Loss  0.850462, Average Loss  0.869245, Time  0.264604
2021-09-16 12:26:34.167059 : Epoch  6, Batch    293, Loss  0.884707, Average Loss  0.870190, Time  0.238437
2021-09-16 12:26:34.728981 : Epoch  8, Batch     78, Loss  0.875190, Average Loss  0.869303, Time  0.264628
2021-09-16 12:26:36.742238 : Epoch  6, Batch    294, Loss  0.881531, Average Loss  0.870263, Time  0.237952
2021-09-16 12:26:37.729804 : Epoch  8, Batch     79, Loss  0.865510, Average Loss  0.869310, Time  0.264070
2021-09-16 12:26:39.331712 : Epoch  6, Batch    295, Loss  0.850289, Average Loss  0.870113, Time  0.238390
2021-09-16 12:26:40.767353 : Epoch  8, Batch     80, Loss  0.867530, Average Loss  0.869314, Time  0.265005
2021-09-16 12:26:41.911350 : Epoch  6, Batch    296, Loss  0.869505, Average Loss  0.870061, Time  0.238074
2021-09-16 12:26:43.793012 : Epoch  8, Batch     81, Loss  0.864033, Average Loss  0.869195, Time  0.265517
2021-09-16 12:26:44.486269 : Epoch  6, Batch    297, Loss  0.871770, Average Loss  0.870069, Time  0.238394
2021-09-16 12:26:46.790888 : Epoch  8, Batch     82, Loss  0.873317, Average Loss  0.869092, Time  0.264357
2021-09-16 12:26:47.071025 : Epoch  6, Batch    298, Loss  0.879762, Average Loss  0.870080, Time  0.237932
2021-09-16 12:26:49.688121 : Epoch  6, Batch    299, Loss  0.868755, Average Loss  0.870116, Time  0.238480
2021-09-16 12:26:49.795831 : Epoch  8, Batch     83, Loss  0.852828, Average Loss  0.869046, Time  0.265658
2021-09-16 12:26:52.264028 : Epoch  6, Batch    300, Loss  0.862934, Average Loss  0.870033, Time  0.239810
2021-09-16 12:26:52.809670 : Epoch  8, Batch     84, Loss  0.846604, Average Loss  0.869020, Time  0.264901
2021-09-16 12:26:54.850208 : Epoch  6, Batch    301, Loss  0.858873, Average Loss  0.870069, Time  0.238801
2021-09-16 12:26:55.836433 : Epoch  8, Batch     85, Loss  0.872684, Average Loss  0.869043, Time  0.264550
2021-09-16 12:26:57.434121 : Epoch  6, Batch    302, Loss  0.870405, Average Loss  0.870081, Time  0.238362
2021-09-16 12:26:58.835289 : Epoch  8, Batch     86, Loss  0.880772, Average Loss  0.869027, Time  0.265095
2021-09-16 12:27:00.024984 : Epoch  6, Batch    303, Loss  0.865810, Average Loss  0.870011, Time  0.239623
2021-09-16 12:27:01.828004 : Epoch  8, Batch     87, Loss  0.879393, Average Loss  0.869027, Time  0.265021
2021-09-16 12:27:02.626991 : Epoch  6, Batch    304, Loss  0.840864, Average Loss  0.869892, Time  0.239212
2021-09-16 12:27:04.874998 : Epoch  8, Batch     88, Loss  0.881335, Average Loss  0.869176, Time  0.278437
2021-09-16 12:27:05.213311 : Epoch  6, Batch    305, Loss  0.898791, Average Loss  0.870031, Time  0.239116
2021-09-16 12:27:07.790972 : Epoch  6, Batch    306, Loss  0.866941, Average Loss  0.870058, Time  0.239197
2021-09-16 12:27:07.873508 : Epoch  8, Batch     89, Loss  0.877858, Average Loss  0.869224, Time  0.264805
2021-09-16 12:27:10.376347 : Epoch  6, Batch    307, Loss  0.873628, Average Loss  0.870116, Time  0.238604
2021-09-16 12:27:10.904721 : Epoch  8, Batch     90, Loss  0.866402, Average Loss  0.869068, Time  0.264833
2021-09-16 12:27:12.953156 : Epoch  6, Batch    308, Loss  0.857558, Average Loss  0.870021, Time  0.238297
2021-09-16 12:27:13.911892 : Epoch  8, Batch     91, Loss  0.874146, Average Loss  0.869088, Time  0.264501
2021-09-16 12:27:15.544257 : Epoch  6, Batch    309, Loss  0.880029, Average Loss  0.870092, Time  0.238240
2021-09-16 12:27:16.914048 : Epoch  8, Batch     92, Loss  0.875887, Average Loss  0.869142, Time  0.265089
2021-09-16 12:27:18.129270 : Epoch  6, Batch    310, Loss  0.859805, Average Loss  0.869984, Time  0.238515
2021-09-16 12:27:19.951407 : Epoch  8, Batch     93, Loss  0.860377, Average Loss  0.869117, Time  0.264208
2021-09-16 12:27:20.706705 : Epoch  6, Batch    311, Loss  0.860911, Average Loss  0.869931, Time  0.238293
2021-09-16 12:27:22.977747 : Epoch  8, Batch     94, Loss  0.877693, Average Loss  0.869213, Time  0.264466
2021-09-16 12:27:23.281297 : Epoch  6, Batch    312, Loss  0.883678, Average Loss  0.869964, Time  0.238192
2021-09-16 12:27:25.863975 : Epoch  6, Batch    313, Loss  0.863207, Average Loss  0.870018, Time  0.238275
2021-09-16 12:27:25.992632 : Epoch  8, Batch     95, Loss  0.880523, Average Loss  0.869195, Time  0.264488
2021-09-16 12:27:28.430720 : Epoch  6, Batch    314, Loss  0.880065, Average Loss  0.870056, Time  0.238094
2021-09-16 12:27:28.994502 : Epoch  8, Batch     96, Loss  0.866430, Average Loss  0.869353, Time  0.263587
2021-09-16 12:27:31.010704 : Epoch  6, Batch    315, Loss  0.854541, Average Loss  0.870045, Time  0.238138
2021-09-16 12:27:31.993527 : Epoch  8, Batch     97, Loss  0.886629, Average Loss  0.869510, Time  0.265105
2021-09-16 12:27:33.594999 : Epoch  6, Batch    316, Loss  0.884627, Average Loss  0.870315, Time  0.238645
2021-09-16 12:27:35.008320 : Epoch  8, Batch     98, Loss  0.878130, Average Loss  0.869510, Time  0.265120
2021-09-16 12:27:36.230801 : Epoch  6, Batch    317, Loss  0.885232, Average Loss  0.870390, Time  0.256503
2021-09-16 12:27:38.034401 : Epoch  8, Batch     99, Loss  0.880294, Average Loss  0.869593, Time  0.263697
2021-09-16 12:27:38.903216 : Epoch  6, Batch    318, Loss  0.876173, Average Loss  0.870440, Time  0.242441
2021-09-16 12:27:41.032444 : Epoch  8, Batch    100, Loss  0.873873, Average Loss  0.869565, Time  0.263659
2021-09-16 12:27:41.509715 : Epoch  6, Batch    319, Loss  0.865759, Average Loss  0.870340, Time  0.239991
2021-09-16 12:27:44.030379 : Epoch  8, Batch    101, Loss  0.858822, Average Loss  0.869477, Time  0.264339
2021-09-16 12:27:44.096970 : Epoch  6, Batch    320, Loss  0.879206, Average Loss  0.870479, Time  0.238776
2021-09-16 12:27:47.043481 : Epoch  8, Batch    102, Loss  0.839577, Average Loss  0.869335, Time  0.264282
2021-09-16 12:27:50.047933 : Epoch  8, Batch    103, Loss  0.871060, Average Loss  0.869299, Time  0.275546
2021-09-16 12:27:53.032366 : Epoch  8, Batch    104, Loss  0.872722, Average Loss  0.869319, Time  0.264380
2021-09-16 12:27:56.048610 : Epoch  8, Batch    105, Loss  0.854853, Average Loss  0.869238, Time  0.264993
2021-09-16 12:27:59.065818 : Epoch  8, Batch    106, Loss  0.844444, Average Loss  0.869047, Time  0.264883
2021-09-16 12:28:02.011472 : Epoch  8, Batch    107, Loss  0.861662, Average Loss  0.869064, Time  0.262552
2021-09-16 12:28:04.969940 : Epoch  8, Batch    108, Loss  0.893373, Average Loss  0.869181, Time  0.264790
2021-09-16 12:31:46.485710 : CheckPoint: Validation Loss  0.00031001, Best Loss  0.00029207
2021-09-16 12:31:49.066935 : Epoch  6, Batch    321, Loss  0.881326, Average Loss  0.870482, Time  0.239615
2021-09-16 12:31:51.652869 : Epoch  6, Batch    322, Loss  0.879450, Average Loss  0.870601, Time  0.238294
2021-09-16 12:31:54.220996 : Epoch  6, Batch    323, Loss  0.868921, Average Loss  0.870638, Time  0.238752
2021-09-16 12:31:56.794239 : Epoch  6, Batch    324, Loss  0.874381, Average Loss  0.870706, Time  0.239251
2021-09-16 12:31:59.370955 : Epoch  6, Batch    325, Loss  0.877543, Average Loss  0.870720, Time  0.238123
2021-09-16 12:32:01.937236 : Epoch  6, Batch    326, Loss  0.863996, Average Loss  0.870652, Time  0.238083
2021-09-16 12:32:04.509978 : Epoch  6, Batch    327, Loss  0.873738, Average Loss  0.870693, Time  0.238551
2021-09-16 12:32:07.079212 : Epoch  6, Batch    328, Loss  0.874466, Average Loss  0.870691, Time  0.238272
2021-09-16 12:32:09.649780 : Epoch  6, Batch    329, Loss  0.873360, Average Loss  0.870784, Time  0.238355
2021-09-16 12:32:12.219812 : Epoch  6, Batch    330, Loss  0.866917, Average Loss  0.870839, Time  0.238433
2021-09-16 12:32:14.792763 : Epoch  6, Batch    331, Loss  0.867399, Average Loss  0.870769, Time  0.239331
2021-09-16 12:32:17.364783 : Epoch  6, Batch    332, Loss  0.874653, Average Loss  0.870757, Time  0.238392
2021-09-16 12:32:19.931747 : Epoch  6, Batch    333, Loss  0.877727, Average Loss  0.870693, Time  0.238568
2021-09-16 12:32:22.498231 : Epoch  6, Batch    334, Loss  0.859543, Average Loss  0.870598, Time  0.238027
2021-09-16 12:32:25.068973 : Epoch  6, Batch    335, Loss  0.870377, Average Loss  0.870511, Time  0.238220
2021-09-16 12:32:27.641313 : Epoch  6, Batch    336, Loss  0.853662, Average Loss  0.870462, Time  0.238529
2021-09-16 12:32:30.223108 : Epoch  6, Batch    337, Loss  0.854886, Average Loss  0.870295, Time  0.238721
2021-09-16 12:32:32.798870 : Epoch  6, Batch    338, Loss  0.867232, Average Loss  0.870347, Time  0.238980
2021-09-16 12:32:35.370453 : Epoch  6, Batch    339, Loss  0.862847, Average Loss  0.870324, Time  0.238535
2021-09-16 12:32:37.955047 : Epoch  6, Batch    340, Loss  0.877688, Average Loss  0.870284, Time  0.240494
2021-09-16 12:32:40.527000 : Epoch  6, Batch    341, Loss  0.886341, Average Loss  0.870372, Time  0.238417
2021-09-16 12:32:43.094080 : Epoch  6, Batch    342, Loss  0.877268, Average Loss  0.870379, Time  0.238823
2021-09-16 12:32:43.409449 : CheckPoint: Validation Loss  0.00030241, Best Loss  0.00029295
2021-09-16 12:32:45.660729 : Epoch  6, Batch    343, Loss  0.871073, Average Loss  0.870356, Time  0.238961
2021-09-16 12:32:46.417256 : Epoch  8, Batch    109, Loss  0.867351, Average Loss  0.869118, Time  0.265661
2021-09-16 12:32:48.230346 : Epoch  6, Batch    344, Loss  0.869775, Average Loss  0.870343, Time  0.238318
2021-09-16 12:32:49.384604 : Epoch  8, Batch    110, Loss  0.867400, Average Loss  0.869071, Time  0.264205
2021-09-16 12:32:50.795024 : Epoch  6, Batch    345, Loss  0.842249, Average Loss  0.870088, Time  0.238519
2021-09-16 12:32:52.375053 : Epoch  8, Batch    111, Loss  0.869674, Average Loss  0.869098, Time  0.263906
2021-09-16 12:32:53.537983 : Epoch  6, Batch    346, Loss  0.863075, Average Loss  0.870043, Time  0.238475
2021-09-16 12:32:55.338070 : Epoch  8, Batch    112, Loss  0.877013, Average Loss  0.869150, Time  0.264630
2021-09-16 12:32:56.147979 : Epoch  6, Batch    347, Loss  0.865232, Average Loss  0.869993, Time  0.238142
2021-09-16 12:32:58.327076 : Epoch  8, Batch    113, Loss  0.856055, Average Loss  0.869042, Time  0.263612
2021-09-16 12:32:58.720231 : Epoch  6, Batch    348, Loss  0.853281, Average Loss  0.869972, Time  0.238595
2021-09-16 12:33:01.279581 : Epoch  6, Batch    349, Loss  0.867059, Average Loss  0.869997, Time  0.238568
2021-09-16 12:33:01.315623 : Epoch  8, Batch    114, Loss  0.879417, Average Loss  0.869027, Time  0.264815
2021-09-16 12:33:03.851322 : Epoch  6, Batch    350, Loss  0.873779, Average Loss  0.869999, Time  0.238263
2021-09-16 12:33:04.314297 : Epoch  8, Batch    115, Loss  0.878693, Average Loss  0.869066, Time  0.265023
2021-09-16 12:33:06.434027 : Epoch  6, Batch    351, Loss  0.855594, Average Loss  0.869959, Time  0.238374
2021-09-16 12:33:07.354030 : Epoch  8, Batch    116, Loss  0.883930, Average Loss  0.869179, Time  0.264525
2021-09-16 12:33:09.024952 : Epoch  6, Batch    352, Loss  0.883813, Average Loss  0.870008, Time  0.238089
2021-09-16 12:33:10.329179 : Epoch  8, Batch    117, Loss  0.884324, Average Loss  0.869265, Time  0.264457
2021-09-16 12:33:11.643041 : Epoch  6, Batch    353, Loss  0.864532, Average Loss  0.869934, Time  0.238206
2021-09-16 12:33:13.311043 : Epoch  8, Batch    118, Loss  0.897163, Average Loss  0.869418, Time  0.270029
2021-09-16 12:33:14.246051 : Epoch  6, Batch    354, Loss  0.876061, Average Loss  0.869853, Time  0.238192
2021-09-16 12:33:16.287237 : Epoch  8, Batch    119, Loss  0.880553, Average Loss  0.869524, Time  0.264924
2021-09-16 12:33:16.808986 : Epoch  6, Batch    355, Loss  0.866125, Average Loss  0.869772, Time  0.238379
2021-09-16 12:33:19.264802 : Epoch  8, Batch    120, Loss  0.863305, Average Loss  0.869492, Time  0.264585
2021-09-16 12:33:19.369124 : Epoch  6, Batch    356, Loss  0.863992, Average Loss  0.869765, Time  0.238384
2021-09-16 12:33:21.923704 : Epoch  6, Batch    357, Loss  0.857568, Average Loss  0.869689, Time  0.238184
2021-09-16 12:33:22.249382 : Epoch  8, Batch    121, Loss  0.858168, Average Loss  0.869484, Time  0.265962
2021-09-16 12:33:24.488052 : Epoch  6, Batch    358, Loss  0.864026, Average Loss  0.869619, Time  0.238639
2021-09-16 12:33:25.241982 : Epoch  8, Batch    122, Loss  0.863877, Average Loss  0.869539, Time  0.264006
2021-09-16 12:33:27.063992 : Epoch  6, Batch    359, Loss  0.872832, Average Loss  0.869580, Time  0.238433
2021-09-16 12:33:28.222700 : Epoch  8, Batch    123, Loss  0.885421, Average Loss  0.869637, Time  0.264817
2021-09-16 12:33:29.644744 : Epoch  6, Batch    360, Loss  0.868183, Average Loss  0.869538, Time  0.238228
2021-09-16 12:33:31.219007 : Epoch  8, Batch    124, Loss  0.863778, Average Loss  0.869664, Time  0.264950
2021-09-16 12:33:32.220107 : Epoch  6, Batch    361, Loss  0.845710, Average Loss  0.869430, Time  0.239524
2021-09-16 12:33:34.239049 : Epoch  8, Batch    125, Loss  0.884047, Average Loss  0.869720, Time  0.264559
2021-09-16 12:33:34.789999 : Epoch  6, Batch    362, Loss  0.864111, Average Loss  0.869415, Time  0.238530
2021-09-16 12:33:37.258976 : Epoch  8, Batch    126, Loss  0.879370, Average Loss  0.869827, Time  0.268921
2021-09-16 12:33:37.360454 : Epoch  6, Batch    363, Loss  0.880188, Average Loss  0.869364, Time  0.239331
2021-09-16 12:33:39.921958 : Epoch  6, Batch    364, Loss  0.862202, Average Loss  0.869164, Time  0.239385
2021-09-16 12:33:40.254309 : Epoch  8, Batch    127, Loss  0.865770, Average Loss  0.869791, Time  0.264527
2021-09-16 12:33:42.490995 : Epoch  6, Batch    365, Loss  0.866588, Average Loss  0.869025, Time  0.238221
2021-09-16 12:33:43.235061 : Epoch  8, Batch    128, Loss  0.872971, Average Loss  0.869822, Time  0.264605
2021-09-16 12:33:45.058707 : Epoch  6, Batch    366, Loss  0.872277, Average Loss  0.868962, Time  0.238836
2021-09-16 12:33:46.235125 : Epoch  8, Batch    129, Loss  0.877525, Average Loss  0.869837, Time  0.264104
2021-09-16 12:33:47.630301 : Epoch  6, Batch    367, Loss  0.868681, Average Loss  0.869005, Time  0.238770
2021-09-16 12:33:49.249976 : Epoch  8, Batch    130, Loss  0.847219, Average Loss  0.869679, Time  0.264876
2021-09-16 12:33:50.202964 : Epoch  6, Batch    368, Loss  0.876330, Average Loss  0.868955, Time  0.238391
2021-09-16 12:33:52.242467 : Epoch  8, Batch    131, Loss  0.872199, Average Loss  0.869651, Time  0.265106
2021-09-16 12:33:52.771983 : Epoch  6, Batch    369, Loss  0.853327, Average Loss  0.868905, Time  0.238121
2021-09-16 12:33:55.253809 : Epoch  8, Batch    132, Loss  0.871968, Average Loss  0.869652, Time  0.265056
2021-09-16 12:33:55.376716 : Epoch  6, Batch    370, Loss  0.883624, Average Loss  0.868913, Time  0.239448
2021-09-16 12:33:57.953981 : Epoch  6, Batch    371, Loss  0.882149, Average Loss  0.868953, Time  0.238912
2021-09-16 12:33:58.270605 : Epoch  8, Batch    133, Loss  0.852627, Average Loss  0.869554, Time  0.270845
2021-09-16 12:34:00.519862 : Epoch  6, Batch    372, Loss  0.868203, Average Loss  0.868917, Time  0.238319
2021-09-16 12:34:01.282663 : Epoch  8, Batch    134, Loss  0.864796, Average Loss  0.869555, Time  0.265386
2021-09-16 12:34:03.079976 : Epoch  6, Batch    373, Loss  0.849945, Average Loss  0.868778, Time  0.238362
2021-09-16 12:34:04.281736 : Epoch  8, Batch    135, Loss  0.877637, Average Loss  0.869596, Time  0.264394
2021-09-16 12:34:05.648019 : Epoch  6, Batch    374, Loss  0.861811, Average Loss  0.868825, Time  0.238383
2021-09-16 12:34:07.256868 : Epoch  8, Batch    136, Loss  0.863163, Average Loss  0.869546, Time  0.264225
2021-09-16 12:34:08.215770 : Epoch  6, Batch    375, Loss  0.889218, Average Loss  0.868953, Time  0.238254
2021-09-16 12:34:10.266850 : Epoch  8, Batch    137, Loss  0.866713, Average Loss  0.869617, Time  0.264862
2021-09-16 12:34:10.791446 : Epoch  6, Batch    376, Loss  0.883765, Average Loss  0.869104, Time  0.238723
2021-09-16 12:34:13.264109 : Epoch  8, Batch    138, Loss  0.874306, Average Loss  0.869644, Time  0.263736
2021-09-16 12:34:13.598359 : Epoch  6, Batch    377, Loss  0.873441, Average Loss  0.869082, Time  0.238549
2021-09-16 12:34:16.155148 : Epoch  6, Batch    378, Loss  0.880038, Average Loss  0.869138, Time  0.238437
2021-09-16 12:34:16.240090 : Epoch  8, Batch    139, Loss  0.861315, Average Loss  0.869662, Time  0.264321
2021-09-16 12:34:18.722685 : Epoch  6, Batch    379, Loss  0.871489, Average Loss  0.869263, Time  0.238299
2021-09-16 12:34:19.228599 : Epoch  8, Batch    140, Loss  0.879437, Average Loss  0.869727, Time  0.264632
2021-09-16 12:34:21.295985 : Epoch  6, Batch    380, Loss  0.855048, Average Loss  0.869276, Time  0.238485
2021-09-16 12:34:22.193510 : Epoch  8, Batch    141, Loss  0.868338, Average Loss  0.869721, Time  0.264829
2021-09-16 12:34:23.869834 : Epoch  6, Batch    381, Loss  0.869223, Average Loss  0.869362, Time  0.238889
2021-09-16 12:34:25.169564 : Epoch  8, Batch    142, Loss  0.845493, Average Loss  0.869578, Time  0.266176
2021-09-16 12:34:26.439990 : Epoch  6, Batch    382, Loss  0.878699, Average Loss  0.869383, Time  0.238035
2021-09-16 12:34:28.157629 : Epoch  8, Batch    143, Loss  0.862482, Average Loss  0.869574, Time  0.266260
2021-09-16 12:34:29.009028 : Epoch  6, Batch    383, Loss  0.862895, Average Loss  0.869472, Time  0.238284
2021-09-16 12:34:31.147444 : Epoch  8, Batch    144, Loss  0.858883, Average Loss  0.869520, Time  0.264102
2021-09-16 12:34:31.578282 : Epoch  6, Batch    384, Loss  0.862867, Average Loss  0.869451, Time  0.238498
2021-09-16 12:34:34.119259 : Epoch  8, Batch    145, Loss  0.841565, Average Loss  0.869386, Time  0.264419
2021-09-16 12:34:34.141715 : Epoch  6, Batch    385, Loss  0.857581, Average Loss  0.869490, Time  0.240258
2021-09-16 12:34:36.720137 : Epoch  6, Batch    386, Loss  0.871018, Average Loss  0.869535, Time  0.238212
2021-09-16 12:34:37.120061 : Epoch  8, Batch    146, Loss  0.843885, Average Loss  0.869312, Time  0.264335
2021-09-16 12:34:39.297054 : Epoch  6, Batch    387, Loss  0.907020, Average Loss  0.869648, Time  0.239582
2021-09-16 12:34:40.121849 : Epoch  8, Batch    147, Loss  0.863451, Average Loss  0.869241, Time  0.264517
2021-09-16 12:34:41.864884 : Epoch  6, Batch    388, Loss  0.875784, Average Loss  0.869713, Time  0.238453
2021-09-16 12:34:43.145250 : Epoch  8, Batch    148, Loss  0.871231, Average Loss  0.869228, Time  0.276754
2021-09-16 12:34:44.442727 : Epoch  6, Batch    389, Loss  0.867338, Average Loss  0.869737, Time  0.238948
2021-09-16 12:34:46.128480 : Epoch  8, Batch    149, Loss  0.861431, Average Loss  0.869247, Time  0.264108
2021-09-16 12:34:47.019058 : Epoch  6, Batch    390, Loss  0.867304, Average Loss  0.869751, Time  0.238634
2021-09-16 12:34:49.102261 : Epoch  8, Batch    150, Loss  0.868027, Average Loss  0.869293, Time  0.264767
2021-09-16 12:34:49.588074 : Epoch  6, Batch    391, Loss  0.854220, Average Loss  0.869810, Time  0.238528
2021-09-16 12:34:52.098092 : Epoch  8, Batch    151, Loss  0.856768, Average Loss  0.869312, Time  0.262972
2021-09-16 12:34:52.163080 : Epoch  6, Batch    392, Loss  0.889475, Average Loss  0.869897, Time  0.238448
2021-09-16 12:34:54.729026 : Epoch  6, Batch    393, Loss  0.882524, Average Loss  0.870055, Time  0.238189
2021-09-16 12:34:55.118271 : Epoch  8, Batch    152, Loss  0.884581, Average Loss  0.869338, Time  0.265787
2021-09-16 12:34:57.296327 : Epoch  6, Batch    394, Loss  0.885176, Average Loss  0.870140, Time  0.238472
2021-09-16 12:34:58.143876 : Epoch  8, Batch    153, Loss  0.881646, Average Loss  0.869371, Time  0.264601
2021-09-16 12:34:59.858978 : Epoch  6, Batch    395, Loss  0.878517, Average Loss  0.870325, Time  0.238211
2021-09-16 12:35:01.103518 : Epoch  8, Batch    154, Loss  0.843561, Average Loss  0.869357, Time  0.264184
2021-09-16 12:35:02.427822 : Epoch  6, Batch    396, Loss  0.861568, Average Loss  0.870333, Time  0.238471
2021-09-16 12:35:04.072057 : Epoch  8, Batch    155, Loss  0.863804, Average Loss  0.869217, Time  0.264897
2021-09-16 12:35:04.995689 : Epoch  6, Batch    397, Loss  0.868862, Average Loss  0.870355, Time  0.238359
2021-09-16 12:35:07.057208 : Epoch  8, Batch    156, Loss  0.889362, Average Loss  0.869273, Time  0.264113
2021-09-16 12:35:07.564694 : Epoch  6, Batch    398, Loss  0.883232, Average Loss  0.870423, Time  0.238436
2021-09-16 12:35:10.038206 : Epoch  8, Batch    157, Loss  0.884255, Average Loss  0.869381, Time  0.263868
2021-09-16 12:35:10.121777 : Epoch  6, Batch    399, Loss  0.870748, Average Loss  0.870471, Time  0.238194
2021-09-16 12:35:12.682050 : Epoch  6, Batch    400, Loss  0.871245, Average Loss  0.870382, Time  0.237994
2021-09-16 12:35:13.012215 : Epoch  8, Batch    158, Loss  0.871651, Average Loss  0.869360, Time  0.264330
2021-09-16 12:35:15.244354 : Epoch  6, Batch    401, Loss  0.882710, Average Loss  0.870501, Time  0.238586
2021-09-16 12:35:15.983775 : Epoch  8, Batch    159, Loss  0.866591, Average Loss  0.869376, Time  0.263432
2021-09-16 12:35:17.816083 : Epoch  6, Batch    402, Loss  0.853044, Average Loss  0.870382, Time  0.238549
2021-09-16 12:35:18.949669 : Epoch  8, Batch    160, Loss  0.879858, Average Loss  0.869516, Time  0.264653
2021-09-16 12:35:20.395046 : Epoch  6, Batch    403, Loss  0.883767, Average Loss  0.870460, Time  0.238448
2021-09-16 12:35:21.993516 : Epoch  8, Batch    161, Loss  0.866336, Average Loss  0.869601, Time  0.265420
2021-09-16 12:35:22.967176 : Epoch  6, Batch    404, Loss  0.865299, Average Loss  0.870475, Time  0.238291
2021-09-16 12:35:24.997988 : Epoch  8, Batch    162, Loss  0.866833, Average Loss  0.869598, Time  0.264905
2021-09-16 12:35:25.525204 : Epoch  6, Batch    405, Loss  0.865697, Average Loss  0.870487, Time  0.238145
2021-09-16 12:35:27.980994 : Epoch  8, Batch    163, Loss  0.856320, Average Loss  0.869557, Time  0.273873
2021-09-16 12:35:28.095036 : Epoch  6, Batch    406, Loss  0.883454, Average Loss  0.870561, Time  0.238757
2021-09-16 12:35:30.642124 : Epoch  6, Batch    407, Loss  0.863581, Average Loss  0.870598, Time  0.238327
2021-09-16 12:35:30.969840 : Epoch  8, Batch    164, Loss  0.869528, Average Loss  0.869603, Time  0.264338
2021-09-16 12:35:33.219992 : Epoch  6, Batch    408, Loss  0.827076, Average Loss  0.870318, Time  0.239373
2021-09-16 12:35:33.932669 : Epoch  8, Batch    165, Loss  0.898591, Average Loss  0.869741, Time  0.263662
2021-09-16 12:35:35.781706 : Epoch  6, Batch    409, Loss  0.884037, Average Loss  0.870366, Time  0.238632
2021-09-16 12:35:36.910209 : Epoch  8, Batch    166, Loss  0.885116, Average Loss  0.869714, Time  0.265111
2021-09-16 12:35:38.347439 : Epoch  6, Batch    410, Loss  0.864293, Average Loss  0.870375, Time  0.238697
2021-09-16 12:35:39.886219 : Epoch  8, Batch    167, Loss  0.849166, Average Loss  0.869663, Time  0.265853
2021-09-16 12:35:40.915112 : Epoch  6, Batch    411, Loss  0.869007, Average Loss  0.870297, Time  0.238731
2021-09-16 12:35:42.856765 : Epoch  8, Batch    168, Loss  0.872137, Average Loss  0.869624, Time  0.264044
2021-09-16 12:35:43.501992 : Epoch  6, Batch    412, Loss  0.876090, Average Loss  0.870456, Time  0.238365
2021-09-16 12:35:45.851591 : Epoch  8, Batch    169, Loss  0.868110, Average Loss  0.869642, Time  0.264621
2021-09-16 12:35:46.123711 : Epoch  6, Batch    413, Loss  0.881451, Average Loss  0.870528, Time  0.237999
2021-09-16 12:35:48.701082 : Epoch  6, Batch    414, Loss  0.869057, Average Loss  0.870506, Time  0.238786
2021-09-16 12:35:48.876576 : Epoch  8, Batch    170, Loss  0.865641, Average Loss  0.869636, Time  0.265011
2021-09-16 12:35:51.271008 : Epoch  6, Batch    415, Loss  0.902691, Average Loss  0.870620, Time  0.238675
2021-09-16 12:35:51.878995 : Epoch  8, Batch    171, Loss  0.859128, Average Loss  0.869550, Time  0.263934
2021-09-16 12:35:53.841074 : Epoch  6, Batch    416, Loss  0.862084, Average Loss  0.870542, Time  0.238709
2021-09-16 12:35:54.853280 : Epoch  8, Batch    172, Loss  0.858811, Average Loss  0.869521, Time  0.264491
2021-09-16 12:35:56.412050 : Epoch  6, Batch    417, Loss  0.874166, Average Loss  0.870525, Time  0.238396
2021-09-16 12:35:57.832254 : Epoch  8, Batch    173, Loss  0.843283, Average Loss  0.869297, Time  0.264185
2021-09-16 12:35:58.981975 : Epoch  6, Batch    418, Loss  0.885864, Average Loss  0.870577, Time  0.238322
2021-09-16 12:36:00.808483 : Epoch  8, Batch    174, Loss  0.866358, Average Loss  0.869256, Time  0.263707
2021-09-16 12:36:01.552988 : Epoch  6, Batch    419, Loss  0.862470, Average Loss  0.870565, Time  0.238342
2021-09-16 12:36:03.777051 : Epoch  8, Batch    175, Loss  0.849457, Average Loss  0.869062, Time  0.264348
2021-09-16 12:36:04.122062 : Epoch  6, Batch    420, Loss  0.871647, Average Loss  0.870489, Time  0.238103
2021-09-16 12:36:06.738814 : Epoch  8, Batch    176, Loss  0.855695, Average Loss  0.868942, Time  0.264836
2021-09-16 12:36:09.731375 : Epoch  8, Batch    177, Loss  0.870891, Average Loss  0.869079, Time  0.264907
2021-09-16 12:36:12.715651 : Epoch  8, Batch    178, Loss  0.865572, Average Loss  0.869072, Time  0.264098
2021-09-16 12:36:15.703176 : Epoch  8, Batch    179, Loss  0.880541, Average Loss  0.869204, Time  0.275965
2021-09-16 12:36:18.690235 : Epoch  8, Batch    180, Loss  0.873640, Average Loss  0.869160, Time  0.265339
2021-09-16 12:36:21.672648 : Epoch  8, Batch    181, Loss  0.851791, Average Loss  0.869005, Time  0.265425
2021-09-16 12:36:24.676554 : Epoch  8, Batch    182, Loss  0.868376, Average Loss  0.869090, Time  0.265457
2021-09-16 12:36:27.654490 : Epoch  8, Batch    183, Loss  0.886229, Average Loss  0.869071, Time  0.264450
2021-09-16 12:36:30.639626 : Epoch  8, Batch    184, Loss  0.891927, Average Loss  0.869171, Time  0.265463
2021-09-16 12:36:33.612876 : Epoch  8, Batch    185, Loss  0.863041, Average Loss  0.869177, Time  0.264121
2021-09-16 12:36:36.582064 : Epoch  8, Batch    186, Loss  0.849196, Average Loss  0.868966, Time  0.264780
2021-09-16 12:36:39.595123 : Epoch  8, Batch    187, Loss  0.867698, Average Loss  0.868909, Time  0.264148
2021-09-16 12:36:42.596520 : Epoch  8, Batch    188, Loss  0.876763, Average Loss  0.868856, Time  0.265054
2021-09-16 12:36:45.573990 : Epoch  8, Batch    189, Loss  0.876909, Average Loss  0.868945, Time  0.263975
2021-09-16 12:36:48.591177 : Epoch  8, Batch    190, Loss  0.877910, Average Loss  0.868943, Time  0.265512
2021-09-16 12:36:51.579845 : Epoch  8, Batch    191, Loss  0.866584, Average Loss  0.869060, Time  0.264757
2021-09-16 12:36:54.587553 : Epoch  8, Batch    192, Loss  0.865405, Average Loss  0.869027, Time  0.263760
2021-09-16 12:36:57.561983 : Epoch  8, Batch    193, Loss  0.858142, Average Loss  0.868983, Time  0.266185
2021-09-16 12:37:00.639387 : Epoch  8, Batch    194, Loss  0.874551, Average Loss  0.868968, Time  0.278159
2021-09-16 12:37:03.634745 : Epoch  8, Batch    195, Loss  0.890456, Average Loss  0.868978, Time  0.264583
2021-09-16 12:37:06.606732 : Epoch  8, Batch    196, Loss  0.858601, Average Loss  0.868988, Time  0.264161
2021-09-16 12:37:09.600182 : Epoch  8, Batch    197, Loss  0.848578, Average Loss  0.868936, Time  0.263260
2021-09-16 12:37:12.574385 : Epoch  8, Batch    198, Loss  0.880649, Average Loss  0.868917, Time  0.263761
2021-09-16 12:37:15.557339 : Epoch  8, Batch    199, Loss  0.845769, Average Loss  0.868780, Time  0.264106
2021-09-16 12:37:18.550468 : Epoch  8, Batch    200, Loss  0.874531, Average Loss  0.868736, Time  0.264419
2021-09-16 12:37:21.571880 : Epoch  8, Batch    201, Loss  0.868022, Average Loss  0.868664, Time  0.265317
2021-09-16 12:37:24.587408 : Epoch  8, Batch    202, Loss  0.888986, Average Loss  0.868766, Time  0.267462
2021-09-16 12:37:27.569283 : Epoch  8, Batch    203, Loss  0.885938, Average Loss  0.868753, Time  0.264811
2021-09-16 12:37:30.574986 : Epoch  8, Batch    204, Loss  0.855870, Average Loss  0.868541, Time  0.264261
2021-09-16 12:37:33.562463 : Epoch  8, Batch    205, Loss  0.858902, Average Loss  0.868521, Time  0.265318
2021-09-16 12:37:36.561086 : Epoch  8, Batch    206, Loss  0.864121, Average Loss  0.868474, Time  0.264091
2021-09-16 12:37:39.551579 : Epoch  8, Batch    207, Loss  0.859461, Average Loss  0.868330, Time  0.263925
2021-09-16 12:37:42.543159 : Epoch  8, Batch    208, Loss  0.866508, Average Loss  0.868264, Time  0.263971
2021-09-16 12:40:06.079173 : CheckPoint: Validation Loss  0.00029564, Best Loss  0.00029207
2021-09-16 12:40:08.681815 : Epoch  6, Batch    421, Loss  0.826298, Average Loss  0.870284, Time  0.240625
2021-09-16 12:40:11.266070 : Epoch  6, Batch    422, Loss  0.873792, Average Loss  0.870224, Time  0.238949
2021-09-16 12:40:13.843955 : Epoch  6, Batch    423, Loss  0.869767, Average Loss  0.870161, Time  0.238393
2021-09-16 12:40:16.427131 : Epoch  6, Batch    424, Loss  0.875033, Average Loss  0.870111, Time  0.239188
2021-09-16 12:40:19.016755 : Epoch  6, Batch    425, Loss  0.872597, Average Loss  0.870077, Time  0.238871
2021-09-16 12:40:21.607103 : Epoch  6, Batch    426, Loss  0.873441, Average Loss  0.870159, Time  0.238601
2021-09-16 12:40:24.193685 : Epoch  6, Batch    427, Loss  0.869572, Average Loss  0.870113, Time  0.238474
2021-09-16 12:40:26.777277 : Epoch  6, Batch    428, Loss  0.851298, Average Loss  0.870055, Time  0.238599
2021-09-16 12:40:29.366680 : Epoch  6, Batch    429, Loss  0.885916, Average Loss  0.870125, Time  0.238422
2021-09-16 12:40:31.947020 : Epoch  6, Batch    430, Loss  0.871197, Average Loss  0.870264, Time  0.238239
2021-09-16 12:40:34.526245 : Epoch  6, Batch    431, Loss  0.880014, Average Loss  0.870422, Time  0.238477
2021-09-16 12:40:37.114004 : Epoch  6, Batch    432, Loss  0.877392, Average Loss  0.870339, Time  0.238481
2021-09-16 12:40:39.685746 : Epoch  6, Batch    433, Loss  0.880442, Average Loss  0.870370, Time  0.238916
2021-09-16 12:40:42.266237 : Epoch  6, Batch    434, Loss  0.894405, Average Loss  0.870638, Time  0.238208
2021-09-16 12:40:44.831866 : Epoch  6, Batch    435, Loss  0.869352, Average Loss  0.870524, Time  0.238308
2021-09-16 12:40:47.401982 : Epoch  6, Batch    436, Loss  0.873662, Average Loss  0.870577, Time  0.238240
2021-09-16 12:40:49.978257 : Epoch  6, Batch    437, Loss  0.881239, Average Loss  0.870624, Time  0.238246
2021-09-16 12:40:52.555028 : Epoch  6, Batch    438, Loss  0.874052, Average Loss  0.870626, Time  0.238475
2021-09-16 12:40:55.139027 : Epoch  6, Batch    439, Loss  0.885315, Average Loss  0.870622, Time  0.238401
2021-09-16 12:40:57.746763 : Epoch  6, Batch    440, Loss  0.880524, Average Loss  0.870676, Time  0.238237
2021-09-16 12:41:00.341787 : Epoch  6, Batch    441, Loss  0.867609, Average Loss  0.870589, Time  0.238556
2021-09-16 12:41:02.923048 : Epoch  6, Batch    442, Loss  0.857696, Average Loss  0.870481, Time  0.239027
2021-09-16 12:41:05.584241 : Epoch  6, Batch    443, Loss  0.871137, Average Loss  0.870447, Time  0.238297
2021-09-16 12:41:08.177842 : Epoch  6, Batch    444, Loss  0.875516, Average Loss  0.870441, Time  0.238479
2021-09-16 12:41:10.768711 : Epoch  6, Batch    445, Loss  0.836177, Average Loss  0.870224, Time  0.240371
2021-09-16 12:41:13.350325 : Epoch  6, Batch    446, Loss  0.891352, Average Loss  0.870260, Time  0.238109
2021-09-16 12:41:15.921084 : Epoch  6, Batch    447, Loss  0.867603, Average Loss  0.870354, Time  0.238081
2021-09-16 12:41:18.506098 : Epoch  6, Batch    448, Loss  0.879807, Average Loss  0.870326, Time  0.239617
2021-09-16 12:41:21.099212 : Epoch  6, Batch    449, Loss  0.882448, Average Loss  0.870385, Time  0.238371
2021-09-16 12:41:23.677713 : Epoch  6, Batch    450, Loss  0.866042, Average Loss  0.870351, Time  0.239273
2021-09-16 12:41:26.268011 : Epoch  6, Batch    451, Loss  0.870895, Average Loss  0.870414, Time  0.238839
2021-09-16 12:41:28.841782 : Epoch  6, Batch    452, Loss  0.859103, Average Loss  0.870389, Time  0.238407
2021-09-16 12:41:31.429983 : Epoch  6, Batch    453, Loss  0.853142, Average Loss  0.870256, Time  0.238155
2021-09-16 12:41:34.016030 : Epoch  6, Batch    454, Loss  0.891403, Average Loss  0.870318, Time  0.238590
2021-09-16 12:41:36.588232 : Epoch  6, Batch    455, Loss  0.855750, Average Loss  0.870199, Time  0.238450
2021-09-16 12:41:39.157085 : Epoch  6, Batch    456, Loss  0.873748, Average Loss  0.870252, Time  0.238620
2021-09-16 12:41:41.743036 : Epoch  6, Batch    457, Loss  0.862656, Average Loss  0.870275, Time  0.238611
2021-09-16 12:41:44.321575 : Epoch  6, Batch    458, Loss  0.889370, Average Loss  0.870380, Time  0.238590
2021-09-16 12:41:46.901990 : Epoch  6, Batch    459, Loss  0.855106, Average Loss  0.870371, Time  0.238032
2021-09-16 12:41:49.487741 : Epoch  6, Batch    460, Loss  0.884079, Average Loss  0.870488, Time  0.238103
2021-09-16 12:41:52.102836 : Epoch  6, Batch    461, Loss  0.855954, Average Loss  0.870466, Time  0.238440
2021-09-16 12:41:54.696999 : Epoch  6, Batch    462, Loss  0.874277, Average Loss  0.870537, Time  0.238637
2021-09-16 12:41:57.270106 : Epoch  6, Batch    463, Loss  0.858062, Average Loss  0.870467, Time  0.238092
2021-09-16 12:41:59.849009 : Epoch  6, Batch    464, Loss  0.851363, Average Loss  0.870411, Time  0.238367
2021-09-16 12:42:02.428708 : Epoch  6, Batch    465, Loss  0.877096, Average Loss  0.870411, Time  0.238269
2021-09-16 12:42:05.010725 : Epoch  6, Batch    466, Loss  0.885563, Average Loss  0.870432, Time  0.238166
2021-09-16 12:42:07.590996 : Epoch  6, Batch    467, Loss  0.877872, Average Loss  0.870473, Time  0.238305
2021-09-16 12:42:10.178737 : Epoch  6, Batch    468, Loss  0.875575, Average Loss  0.870487, Time  0.238416
2021-09-16 12:42:12.768264 : Epoch  6, Batch    469, Loss  0.897577, Average Loss  0.870674, Time  0.239286
2021-09-16 12:42:15.349971 : Epoch  6, Batch    470, Loss  0.869161, Average Loss  0.870704, Time  0.238066
2021-09-16 12:42:17.946386 : Epoch  6, Batch    471, Loss  0.871968, Average Loss  0.870795, Time  0.239380
2021-09-16 12:42:19.414394 : CheckPoint: Validation Loss  0.00029763, Best Loss  0.00029295
2021-09-16 12:42:20.565703 : Epoch  6, Batch    472, Loss  0.872275, Average Loss  0.870892, Time  0.239580
2021-09-16 12:42:22.395627 : Epoch  8, Batch    209, Loss  0.880122, Average Loss  0.868378, Time  0.266229
2021-09-16 12:42:23.144078 : Epoch  6, Batch    473, Loss  0.873604, Average Loss  0.870865, Time  0.238475
2021-09-16 12:42:25.378259 : Epoch  8, Batch    210, Loss  0.856903, Average Loss  0.868268, Time  0.276214
2021-09-16 12:42:25.741027 : Epoch  6, Batch    474, Loss  0.872931, Average Loss  0.870884, Time  0.238550
2021-09-16 12:42:28.363163 : Epoch  8, Batch    211, Loss  0.875921, Average Loss  0.868240, Time  0.264981
2021-09-16 12:42:28.388998 : Epoch  6, Batch    475, Loss  0.857178, Average Loss  0.870809, Time  0.238685
2021-09-16 12:42:30.958712 : Epoch  6, Batch    476, Loss  0.856640, Average Loss  0.870659, Time  0.238997
2021-09-16 12:42:31.380311 : Epoch  8, Batch    212, Loss  0.872804, Average Loss  0.868174, Time  0.264219
2021-09-16 12:42:33.538233 : Epoch  6, Batch    477, Loss  0.879862, Average Loss  0.870665, Time  0.237944
2021-09-16 12:42:34.372873 : Epoch  8, Batch    213, Loss  0.869507, Average Loss  0.868151, Time  0.264104
2021-09-16 12:42:36.127296 : Epoch  6, Batch    478, Loss  0.873546, Average Loss  0.870664, Time  0.238244
2021-09-16 12:42:37.353032 : Epoch  8, Batch    214, Loss  0.875406, Average Loss  0.868265, Time  0.263831
2021-09-16 12:42:38.705958 : Epoch  6, Batch    479, Loss  0.885170, Average Loss  0.870645, Time  0.238137
2021-09-16 12:42:40.344367 : Epoch  8, Batch    215, Loss  0.866674, Average Loss  0.868198, Time  0.264730
2021-09-16 12:42:41.292226 : Epoch  6, Batch    480, Loss  0.880470, Average Loss  0.870656, Time  0.238058
2021-09-16 12:42:43.327963 : Epoch  8, Batch    216, Loss  0.862796, Average Loss  0.868221, Time  0.264351
2021-09-16 12:42:43.866329 : Epoch  6, Batch    481, Loss  0.872554, Average Loss  0.870711, Time  0.238593
2021-09-16 12:42:46.298295 : Epoch  8, Batch    217, Loss  0.864435, Average Loss  0.868188, Time  0.263635
2021-09-16 12:42:46.453754 : Epoch  6, Batch    482, Loss  0.872274, Average Loss  0.870704, Time  0.238363
2021-09-16 12:42:49.010975 : Epoch  6, Batch    483, Loss  0.874918, Average Loss  0.870775, Time  0.238212
2021-09-16 12:42:49.276289 : Epoch  8, Batch    218, Loss  0.891492, Average Loss  0.868236, Time  0.264985
2021-09-16 12:42:51.598014 : Epoch  6, Batch    484, Loss  0.867312, Average Loss  0.870868, Time  0.238602
2021-09-16 12:42:52.269096 : Epoch  8, Batch    219, Loss  0.862172, Average Loss  0.868257, Time  0.264036
2021-09-16 12:42:54.174968 : Epoch  6, Batch    485, Loss  0.852316, Average Loss  0.870722, Time  0.238038
2021-09-16 12:42:55.242567 : Epoch  8, Batch    220, Loss  0.868797, Average Loss  0.868242, Time  0.265765
2021-09-16 12:42:56.760399 : Epoch  6, Batch    486, Loss  0.880432, Average Loss  0.870792, Time  0.239147
2021-09-16 12:42:58.191657 : Epoch  8, Batch    221, Loss  0.886637, Average Loss  0.868362, Time  0.263805
2021-09-16 12:42:59.339162 : Epoch  6, Batch    487, Loss  0.882607, Average Loss  0.870840, Time  0.238421
2021-09-16 12:43:01.175308 : Epoch  8, Batch    222, Loss  0.863460, Average Loss  0.868471, Time  0.265065
2021-09-16 12:43:01.918758 : Epoch  6, Batch    488, Loss  0.862287, Average Loss  0.870711, Time  0.238145
2021-09-16 12:43:04.204514 : Epoch  8, Batch    223, Loss  0.870969, Average Loss  0.868589, Time  0.266099
2021-09-16 12:43:04.522373 : Epoch  6, Batch    489, Loss  0.861463, Average Loss  0.870741, Time  0.238111
2021-09-16 12:43:07.077119 : Epoch  6, Batch    490, Loss  0.872730, Average Loss  0.870699, Time  0.238607
2021-09-16 12:43:07.199663 : Epoch  8, Batch    224, Loss  0.878093, Average Loss  0.868623, Time  0.265068
2021-09-16 12:43:09.657734 : Epoch  6, Batch    491, Loss  0.862035, Average Loss  0.870602, Time  0.238497
2021-09-16 12:43:10.176913 : Epoch  8, Batch    225, Loss  0.870103, Average Loss  0.868673, Time  0.276599
2021-09-16 12:43:12.247171 : Epoch  6, Batch    492, Loss  0.869012, Average Loss  0.870651, Time  0.239433
2021-09-16 12:43:13.135252 : Epoch  8, Batch    226, Loss  0.861016, Average Loss  0.868631, Time  0.263768
2021-09-16 12:43:14.828144 : Epoch  6, Batch    493, Loss  0.887697, Average Loss  0.870666, Time  0.238357
2021-09-16 12:43:16.134832 : Epoch  8, Batch    227, Loss  0.847202, Average Loss  0.868477, Time  0.265438
2021-09-16 12:43:17.406281 : Epoch  6, Batch    494, Loss  0.873490, Average Loss  0.870626, Time  0.238927
2021-09-16 12:43:19.161046 : Epoch  8, Batch    228, Loss  0.867658, Average Loss  0.868368, Time  0.264697
2021-09-16 12:43:19.989097 : Epoch  6, Batch    495, Loss  0.847806, Average Loss  0.870614, Time  0.238944
2021-09-16 12:43:22.166274 : Epoch  8, Batch    229, Loss  0.854155, Average Loss  0.868208, Time  0.264007
2021-09-16 12:43:22.577760 : Epoch  6, Batch    496, Loss  0.870400, Average Loss  0.870618, Time  0.238600
2021-09-16 12:43:25.131005 : Epoch  6, Batch    497, Loss  0.880406, Average Loss  0.870661, Time  0.238480
2021-09-16 12:43:25.156276 : Epoch  8, Batch    230, Loss  0.869631, Average Loss  0.868266, Time  0.264674
2021-09-16 12:43:27.704376 : Epoch  6, Batch    498, Loss  0.881518, Average Loss  0.870670, Time  0.238795
2021-09-16 12:43:28.158929 : Epoch  8, Batch    231, Loss  0.880031, Average Loss  0.868248, Time  0.265256
2021-09-16 12:43:30.276064 : Epoch  6, Batch    499, Loss  0.868756, Average Loss  0.870670, Time  0.238062
2021-09-16 12:43:31.125399 : Epoch  8, Batch    232, Loss  0.886360, Average Loss  0.868292, Time  0.264491
2021-09-16 12:43:32.859257 : Epoch  6, Batch    500, Loss  0.875123, Average Loss  0.870731, Time  0.238303
2021-09-16 12:43:34.125485 : Epoch  8, Batch    233, Loss  0.863653, Average Loss  0.868270, Time  0.264043
2021-09-16 12:43:35.445445 : Epoch  6, Batch    501, Loss  0.876599, Average Loss  0.870820, Time  0.238469
2021-09-16 12:43:37.116952 : Epoch  8, Batch    234, Loss  0.856905, Average Loss  0.868206, Time  0.264589
2021-09-16 12:43:38.026967 : Epoch  6, Batch    502, Loss  0.877464, Average Loss  0.870855, Time  0.238172
2021-09-16 12:43:40.098475 : Epoch  8, Batch    235, Loss  0.850366, Average Loss  0.868095, Time  0.263601
2021-09-16 12:43:40.605012 : Epoch  6, Batch    503, Loss  0.870799, Average Loss  0.870880, Time  0.238226
2021-09-16 12:43:43.062440 : Epoch  8, Batch    236, Loss  0.869141, Average Loss  0.868201, Time  0.263421
2021-09-16 12:43:43.162716 : Epoch  6, Batch    504, Loss  0.865921, Average Loss  0.871005, Time  0.238703
2021-09-16 12:43:45.725988 : Epoch  6, Batch    505, Loss  0.875292, Average Loss  0.870888, Time  0.238212
2021-09-16 12:43:46.030105 : Epoch  8, Batch    237, Loss  0.861916, Average Loss  0.868127, Time  0.264206
2021-09-16 12:43:48.309037 : Epoch  6, Batch    506, Loss  0.868645, Average Loss  0.870896, Time  0.238412
2021-09-16 12:43:48.993984 : Epoch  8, Batch    238, Loss  0.883741, Average Loss  0.868219, Time  0.264170
2021-09-16 12:43:50.881113 : Epoch  6, Batch    507, Loss  0.865819, Average Loss  0.870857, Time  0.238397
2021-09-16 12:43:51.989517 : Epoch  8, Batch    239, Loss  0.856621, Average Loss  0.868274, Time  0.264292
2021-09-16 12:43:53.473406 : Epoch  6, Batch    508, Loss  0.887840, Average Loss  0.871009, Time  0.238466
2021-09-16 12:43:54.996180 : Epoch  8, Batch    240, Loss  0.862936, Average Loss  0.868194, Time  0.276935
2021-09-16 12:43:56.048042 : Epoch  6, Batch    509, Loss  0.874510, Average Loss  0.870981, Time  0.238059
2021-09-16 12:43:57.981090 : Epoch  8, Batch    241, Loss  0.894052, Average Loss  0.868387, Time  0.264796
2021-09-16 12:43:58.628953 : Epoch  6, Batch    510, Loss  0.847802, Average Loss  0.870921, Time  0.238539
2021-09-16 12:44:00.995704 : Epoch  8, Batch    242, Loss  0.897312, Average Loss  0.868411, Time  0.265252
2021-09-16 12:44:01.195939 : Epoch  6, Batch    511, Loss  0.868023, Average Loss  0.870957, Time  0.238347
2021-09-16 12:44:03.759012 : Epoch  6, Batch    512, Loss  0.876812, Average Loss  0.870922, Time  0.238057
2021-09-16 12:44:03.978759 : Epoch  8, Batch    243, Loss  0.865756, Average Loss  0.868417, Time  0.264047
2021-09-16 12:44:06.339918 : Epoch  6, Batch    513, Loss  0.863589, Average Loss  0.870924, Time  0.238380
2021-09-16 12:44:06.932091 : Epoch  8, Batch    244, Loss  0.879709, Average Loss  0.868480, Time  0.263887
2021-09-16 12:44:08.919988 : Epoch  6, Batch    514, Loss  0.865415, Average Loss  0.870851, Time  0.238204
2021-09-16 12:44:09.955143 : Epoch  8, Batch    245, Loss  0.859766, Average Loss  0.868458, Time  0.266267
2021-09-16 12:44:11.510751 : Epoch  6, Batch    515, Loss  0.859906, Average Loss  0.870878, Time  0.238267
2021-09-16 12:44:12.953758 : Epoch  8, Batch    246, Loss  0.883576, Average Loss  0.868544, Time  0.263124
2021-09-16 12:44:14.103808 : Epoch  6, Batch    516, Loss  0.882003, Average Loss  0.870865, Time  0.239503
2021-09-16 12:44:15.874958 : Epoch  8, Batch    247, Loss  0.859872, Average Loss  0.868642, Time  0.264404
2021-09-16 12:44:16.685994 : Epoch  6, Batch    517, Loss  0.856286, Average Loss  0.870720, Time  0.238359
2021-09-16 12:44:18.846144 : Epoch  8, Batch    248, Loss  0.865528, Average Loss  0.868635, Time  0.264053
2021-09-16 12:44:19.268155 : Epoch  6, Batch    518, Loss  0.876815, Average Loss  0.870723, Time  0.239234
2021-09-16 12:44:21.810689 : Epoch  8, Batch    249, Loss  0.875792, Average Loss  0.868679, Time  0.263985
2021-09-16 12:44:21.827983 : Epoch  6, Batch    519, Loss  0.905678, Average Loss  0.870923, Time  0.240171
2021-09-16 12:44:24.412112 : Epoch  6, Batch    520, Loss  0.878905, Average Loss  0.870921, Time  0.238820
2021-09-16 12:44:24.822565 : Epoch  8, Batch    250, Loss  0.843345, Average Loss  0.868570, Time  0.264213
2021-09-16 12:44:27.807205 : Epoch  8, Batch    251, Loss  0.863740, Average Loss  0.868650, Time  0.265282
2021-09-16 12:44:30.832429 : Epoch  8, Batch    252, Loss  0.870114, Average Loss  0.868561, Time  0.264870
2021-09-16 12:44:33.824138 : Epoch  8, Batch    253, Loss  0.863600, Average Loss  0.868474, Time  0.265660
2021-09-16 12:44:36.822053 : Epoch  8, Batch    254, Loss  0.861646, Average Loss  0.868402, Time  0.264508
2021-09-16 12:44:39.817007 : Epoch  8, Batch    255, Loss  0.870812, Average Loss  0.868350, Time  0.263893
2021-09-16 12:44:42.802257 : Epoch  8, Batch    256, Loss  0.873519, Average Loss  0.868383, Time  0.274680
2021-09-16 12:44:45.799978 : Epoch  8, Batch    257, Loss  0.876193, Average Loss  0.868414, Time  0.264540
2021-09-16 12:44:48.746926 : Epoch  8, Batch    258, Loss  0.859239, Average Loss  0.868458, Time  0.263811
2021-09-16 12:44:51.732873 : Epoch  8, Batch    259, Loss  0.847675, Average Loss  0.868339, Time  0.265076
2021-09-16 12:44:54.711422 : Epoch  8, Batch    260, Loss  0.871325, Average Loss  0.868437, Time  0.265399
2021-09-16 12:44:57.674053 : Epoch  8, Batch    261, Loss  0.862662, Average Loss  0.868538, Time  0.265488
2021-09-16 12:45:00.670782 : Epoch  8, Batch    262, Loss  0.887181, Average Loss  0.868626, Time  0.264929
2021-09-16 12:45:03.663844 : Epoch  8, Batch    263, Loss  0.868828, Average Loss  0.868690, Time  0.264864
2021-09-16 12:45:06.647325 : Epoch  8, Batch    264, Loss  0.869989, Average Loss  0.868647, Time  0.264353
2021-09-16 12:45:09.628765 : Epoch  8, Batch    265, Loss  0.870498, Average Loss  0.868653, Time  0.264800
2021-09-16 12:45:12.586724 : Epoch  8, Batch    266, Loss  0.850205, Average Loss  0.868547, Time  0.264175
2021-09-16 12:45:15.579948 : Epoch  8, Batch    267, Loss  0.866236, Average Loss  0.868496, Time  0.264835
2021-09-16 12:45:18.552124 : Epoch  8, Batch    268, Loss  0.888056, Average Loss  0.868564, Time  0.264162
2021-09-16 12:45:21.513233 : Epoch  8, Batch    269, Loss  0.862906, Average Loss  0.868568, Time  0.263587
2021-09-16 12:45:24.476298 : Epoch  8, Batch    270, Loss  0.884443, Average Loss  0.868736, Time  0.264822
2021-09-16 12:45:27.438854 : Epoch  8, Batch    271, Loss  0.843924, Average Loss  0.868599, Time  0.273880
2021-09-16 12:45:30.412854 : Epoch  8, Batch    272, Loss  0.868440, Average Loss  0.868570, Time  0.264042
2021-09-16 12:45:33.370867 : Epoch  8, Batch    273, Loss  0.858873, Average Loss  0.868424, Time  0.264400
2021-09-16 12:45:36.328811 : Epoch  8, Batch    274, Loss  0.859451, Average Loss  0.868489, Time  0.265677
2021-09-16 12:45:39.284732 : Epoch  8, Batch    275, Loss  0.853411, Average Loss  0.868354, Time  0.264463
2021-09-16 12:45:42.272612 : Epoch  8, Batch    276, Loss  0.859946, Average Loss  0.868329, Time  0.264647
2021-09-16 12:45:45.262362 : Epoch  8, Batch    277, Loss  0.864300, Average Loss  0.868398, Time  0.263729
2021-09-16 12:45:48.218432 : Epoch  8, Batch    278, Loss  0.861265, Average Loss  0.868328, Time  0.263380
2021-09-16 12:45:51.178938 : Epoch  8, Batch    279, Loss  0.870023, Average Loss  0.868351, Time  0.264396
2021-09-16 12:45:54.144365 : Epoch  8, Batch    280, Loss  0.864204, Average Loss  0.868334, Time  0.264689
2021-09-16 12:45:57.117715 : Epoch  8, Batch    281, Loss  0.874487, Average Loss  0.868387, Time  0.265503
2021-09-16 12:46:00.105539 : Epoch  8, Batch    282, Loss  0.864351, Average Loss  0.868342, Time  0.264488
2021-09-16 12:46:03.105520 : Epoch  8, Batch    283, Loss  0.857607, Average Loss  0.868366, Time  0.263700
2021-09-16 12:46:06.118234 : Epoch  8, Batch    284, Loss  0.849649, Average Loss  0.868381, Time  0.265129
2021-09-16 12:46:09.090211 : Epoch  8, Batch    285, Loss  0.865048, Average Loss  0.868343, Time  0.266900
2021-09-16 12:46:12.114064 : Epoch  8, Batch    286, Loss  0.851009, Average Loss  0.868194, Time  0.278175
2021-09-16 12:46:15.086136 : Epoch  8, Batch    287, Loss  0.852728, Average Loss  0.868061, Time  0.266088
2021-09-16 12:46:18.063917 : Epoch  8, Batch    288, Loss  0.864634, Average Loss  0.867977, Time  0.264741
2021-09-16 12:46:21.023705 : Epoch  8, Batch    289, Loss  0.870365, Average Loss  0.867940, Time  0.264428
2021-09-16 12:46:23.982745 : Epoch  8, Batch    290, Loss  0.869537, Average Loss  0.867955, Time  0.265202
2021-09-16 12:46:26.988004 : Epoch  8, Batch    291, Loss  0.858457, Average Loss  0.867877, Time  0.265452
2021-09-16 12:46:29.969910 : Epoch  8, Batch    292, Loss  0.868712, Average Loss  0.867841, Time  0.264747
2021-09-16 12:46:32.959032 : Epoch  8, Batch    293, Loss  0.855734, Average Loss  0.867818, Time  0.264260
2021-09-16 12:46:35.921846 : Epoch  8, Batch    294, Loss  0.880575, Average Loss  0.867832, Time  0.264523
2021-09-16 12:46:38.890657 : Epoch  8, Batch    295, Loss  0.865531, Average Loss  0.867757, Time  0.264604
2021-09-16 12:46:41.860702 : Epoch  8, Batch    296, Loss  0.859543, Average Loss  0.867723, Time  0.263797
2021-09-16 12:46:44.816412 : Epoch  8, Batch    297, Loss  0.863265, Average Loss  0.867606, Time  0.263935
2021-09-16 12:46:47.773193 : Epoch  8, Batch    298, Loss  0.870079, Average Loss  0.867566, Time  0.265409
2021-09-16 12:46:50.734076 : Epoch  8, Batch    299, Loss  0.856090, Average Loss  0.867445, Time  0.264441
2021-09-16 12:46:53.739443 : Epoch  8, Batch    300, Loss  0.858384, Average Loss  0.867367, Time  0.265111
2021-09-16 12:46:56.739055 : Epoch  8, Batch    301, Loss  0.861617, Average Loss  0.867381, Time  0.265991
2021-09-16 12:46:59.722944 : Epoch  8, Batch    302, Loss  0.868367, Average Loss  0.867525, Time  0.277618
2021-09-16 12:47:02.701176 : Epoch  8, Batch    303, Loss  0.874153, Average Loss  0.867541, Time  0.264591
2021-09-16 12:47:05.662474 : Epoch  8, Batch    304, Loss  0.863259, Average Loss  0.867493, Time  0.266280
2021-09-16 12:47:08.631782 : Epoch  8, Batch    305, Loss  0.875340, Average Loss  0.867596, Time  0.265112
2021-09-16 12:47:11.605690 : Epoch  8, Batch    306, Loss  0.867455, Average Loss  0.867711, Time  0.263875
2021-09-16 12:47:14.567578 : Epoch  8, Batch    307, Loss  0.875363, Average Loss  0.867779, Time  0.265203
2021-09-16 12:47:17.569107 : Epoch  8, Batch    308, Loss  0.873641, Average Loss  0.867681, Time  0.264036
2021-09-16 12:48:26.132690 : CheckPoint: Validation Loss  0.00030355, Best Loss  0.00029207
2021-09-16 12:48:28.728117 : Epoch  6, Batch    521, Loss  0.875124, Average Loss  0.870890, Time  0.264233
2021-09-16 12:48:31.317750 : Epoch  6, Batch    522, Loss  0.872459, Average Loss  0.870855, Time  0.240328
2021-09-16 12:48:33.902784 : Epoch  6, Batch    523, Loss  0.862405, Average Loss  0.870823, Time  0.239466
2021-09-16 12:48:36.497292 : Epoch  6, Batch    524, Loss  0.867850, Average Loss  0.870790, Time  0.238619
2021-09-16 12:48:39.083750 : Epoch  6, Batch    525, Loss  0.851594, Average Loss  0.870660, Time  0.238235
2021-09-16 12:48:41.667084 : Epoch  6, Batch    526, Loss  0.894994, Average Loss  0.870815, Time  0.238465
2021-09-16 12:48:44.260803 : Epoch  6, Batch    527, Loss  0.865874, Average Loss  0.870776, Time  0.238006
2021-09-16 12:48:46.859050 : Epoch  6, Batch    528, Loss  0.849756, Average Loss  0.870652, Time  0.238100
2021-09-16 12:48:49.453761 : Epoch  6, Batch    529, Loss  0.875398, Average Loss  0.870663, Time  0.239588
2021-09-16 12:48:52.036995 : Epoch  6, Batch    530, Loss  0.865794, Average Loss  0.870657, Time  0.238671
2021-09-16 12:48:54.628028 : Epoch  6, Batch    531, Loss  0.890371, Average Loss  0.870772, Time  0.238101
2021-09-16 12:48:57.216817 : Epoch  6, Batch    532, Loss  0.874258, Average Loss  0.870770, Time  0.239290
2021-09-16 12:48:59.796990 : Epoch  6, Batch    533, Loss  0.873992, Average Loss  0.870751, Time  0.238164
2021-09-16 12:49:02.385769 : Epoch  6, Batch    534, Loss  0.869706, Average Loss  0.870802, Time  0.238646
2021-09-16 12:49:04.976989 : Epoch  6, Batch    535, Loss  0.875002, Average Loss  0.870825, Time  0.238774
2021-09-16 12:49:07.569033 : Epoch  6, Batch    536, Loss  0.872418, Average Loss  0.870919, Time  0.238237
2021-09-16 12:49:10.156844 : Epoch  6, Batch    537, Loss  0.870459, Average Loss  0.870997, Time  0.238690
2021-09-16 12:49:12.742735 : Epoch  6, Batch    538, Loss  0.847475, Average Loss  0.870898, Time  0.238270
2021-09-16 12:49:15.336763 : Epoch  6, Batch    539, Loss  0.867295, Average Loss  0.870920, Time  0.238946
2021-09-16 12:49:17.925058 : Epoch  6, Batch    540, Loss  0.881765, Average Loss  0.870941, Time  0.238456
2021-09-16 12:49:20.510086 : Epoch  6, Batch    541, Loss  0.875435, Average Loss  0.870886, Time  0.238078
2021-09-16 12:49:23.094209 : Epoch  6, Batch    542, Loss  0.882115, Average Loss  0.870910, Time  0.238549
2021-09-16 12:49:25.680715 : Epoch  6, Batch    543, Loss  0.865097, Average Loss  0.870880, Time  0.238545
2021-09-16 12:49:28.265229 : Epoch  6, Batch    544, Loss  0.861777, Average Loss  0.870840, Time  0.238341
2021-09-16 12:49:30.855030 : Epoch  6, Batch    545, Loss  0.870319, Average Loss  0.870981, Time  0.238418
2021-09-16 12:49:33.440071 : Epoch  6, Batch    546, Loss  0.870584, Average Loss  0.871018, Time  0.238247
2021-09-16 12:49:36.024708 : Epoch  6, Batch    547, Loss  0.864891, Average Loss  0.871017, Time  0.238730
2021-09-16 12:49:38.615129 : Epoch  6, Batch    548, Loss  0.839734, Average Loss  0.870949, Time  0.238954
2021-09-16 12:49:41.201823 : Epoch  6, Batch    549, Loss  0.835126, Average Loss  0.870789, Time  0.239323
2021-09-16 12:49:43.796278 : Epoch  6, Batch    550, Loss  0.861817, Average Loss  0.870729, Time  0.238441
2021-09-16 12:49:46.384728 : Epoch  6, Batch    551, Loss  0.858274, Average Loss  0.870743, Time  0.238566
2021-09-16 12:49:48.985004 : Epoch  6, Batch    552, Loss  0.865508, Average Loss  0.870651, Time  0.238591
2021-09-16 12:49:51.575731 : Epoch  6, Batch    553, Loss  0.882072, Average Loss  0.870739, Time  0.242438
2021-09-16 12:49:54.168585 : Epoch  6, Batch    554, Loss  0.852895, Average Loss  0.870623, Time  0.238862
2021-09-16 12:49:56.756119 : Epoch  6, Batch    555, Loss  0.865060, Average Loss  0.870618, Time  0.239519
2021-09-16 12:49:59.359248 : Epoch  6, Batch    556, Loss  0.881985, Average Loss  0.870708, Time  0.238483
2021-09-16 12:50:01.941236 : Epoch  6, Batch    557, Loss  0.867697, Average Loss  0.870758, Time  0.238600
2021-09-16 12:50:04.522275 : Epoch  6, Batch    558, Loss  0.884331, Average Loss  0.870860, Time  0.238397
2021-09-16 12:50:07.118026 : Epoch  6, Batch    559, Loss  0.863268, Average Loss  0.870812, Time  0.238725
2021-09-16 12:50:09.701303 : Epoch  6, Batch    560, Loss  0.856820, Average Loss  0.870755, Time  0.238507
2021-09-16 12:50:12.293950 : Epoch  6, Batch    561, Loss  0.865621, Average Loss  0.870855, Time  0.238325
2021-09-16 12:50:14.882249 : Epoch  6, Batch    562, Loss  0.866868, Average Loss  0.870869, Time  0.238405
2021-09-16 12:50:17.475067 : Epoch  6, Batch    563, Loss  0.874083, Average Loss  0.870838, Time  0.238429
2021-09-16 12:50:20.063713 : Epoch  6, Batch    564, Loss  0.898194, Average Loss  0.871018, Time  0.238918
2021-09-16 12:50:22.650768 : Epoch  6, Batch    565, Loss  0.851493, Average Loss  0.870943, Time  0.238489
2021-09-16 12:50:25.238905 : Epoch  6, Batch    566, Loss  0.860006, Average Loss  0.870881, Time  0.238790
2021-09-16 12:50:27.826009 : Epoch  6, Batch    567, Loss  0.872590, Average Loss  0.870901, Time  0.238364
2021-09-16 12:50:30.408731 : Epoch  6, Batch    568, Loss  0.871594, Average Loss  0.870877, Time  0.237912
2021-09-16 12:50:32.991340 : Epoch  6, Batch    569, Loss  0.880279, Average Loss  0.871012, Time  0.238237
2021-09-16 12:50:35.578746 : Epoch  6, Batch    570, Loss  0.875675, Average Loss  0.870972, Time  0.238958
2021-09-16 12:50:38.175013 : Epoch  6, Batch    571, Loss  0.880022, Average Loss  0.870962, Time  0.238501
2021-09-16 12:50:40.761450 : Epoch  6, Batch    572, Loss  0.876414, Average Loss  0.871003, Time  0.238813
2021-09-16 12:50:43.347987 : Epoch  6, Batch    573, Loss  0.889582, Average Loss  0.871201, Time  0.238276
2021-09-16 12:50:45.932099 : Epoch  6, Batch    574, Loss  0.881274, Average Loss  0.871298, Time  0.238204
2021-09-16 12:50:48.516439 : Epoch  6, Batch    575, Loss  0.880931, Average Loss  0.871257, Time  0.238502
2021-09-16 12:50:51.101727 : Epoch  6, Batch    576, Loss  0.848548, Average Loss  0.871081, Time  0.239395
2021-09-16 12:50:53.698987 : Epoch  6, Batch    577, Loss  0.869624, Average Loss  0.871062, Time  0.239360
2021-09-16 12:50:56.287059 : Epoch  6, Batch    578, Loss  0.856499, Average Loss  0.870944, Time  0.238963
2021-09-16 12:50:58.868279 : Epoch  6, Batch    579, Loss  0.863285, Average Loss  0.870903, Time  0.238920
2021-09-16 12:51:01.446068 : Epoch  6, Batch    580, Loss  0.881123, Average Loss  0.871033, Time  0.238605
2021-09-16 12:51:04.035221 : Epoch  6, Batch    581, Loss  0.883994, Average Loss  0.871107, Time  0.238298
2021-09-16 12:51:06.628415 : Epoch  6, Batch    582, Loss  0.863437, Average Loss  0.871031, Time  0.239273
2021-09-16 12:51:09.208083 : Epoch  6, Batch    583, Loss  0.853318, Average Loss  0.870983, Time  0.238795
2021-09-16 12:51:11.800723 : Epoch  6, Batch    584, Loss  0.867254, Average Loss  0.871005, Time  0.238325
2021-09-16 12:51:14.401229 : Epoch  6, Batch    585, Loss  0.866798, Average Loss  0.871051, Time  0.238833
2021-09-16 12:51:16.990533 : Epoch  6, Batch    586, Loss  0.873331, Average Loss  0.871062, Time  0.238378
2021-09-16 12:51:19.577266 : Epoch  6, Batch    587, Loss  0.873532, Average Loss  0.870895, Time  0.238663
2021-09-16 12:51:22.165353 : Epoch  6, Batch    588, Loss  0.869163, Average Loss  0.870862, Time  0.238225
2021-09-16 12:51:24.761027 : Epoch  6, Batch    589, Loss  0.877670, Average Loss  0.870914, Time  0.238533
2021-09-16 12:51:27.346976 : Epoch  6, Batch    590, Loss  0.873182, Average Loss  0.870943, Time  0.238368
2021-09-16 12:51:29.921448 : Epoch  6, Batch    591, Loss  0.855858, Average Loss  0.870951, Time  0.238609
2021-09-16 12:51:32.511705 : Epoch  6, Batch    592, Loss  0.889717, Average Loss  0.870952, Time  0.238531
2021-09-16 12:51:35.121164 : Epoch  6, Batch    593, Loss  0.861028, Average Loss  0.870845, Time  0.238343
2021-09-16 12:51:37.705258 : Epoch  6, Batch    594, Loss  0.872668, Average Loss  0.870782, Time  0.238219
2021-09-16 12:51:40.286269 : Epoch  6, Batch    595, Loss  0.864837, Average Loss  0.870714, Time  0.238423
2021-09-16 12:51:42.878171 : Epoch  6, Batch    596, Loss  0.876984, Average Loss  0.870791, Time  0.238258
2021-09-16 12:51:45.496223 : Epoch  6, Batch    597, Loss  0.881394, Average Loss  0.870854, Time  0.238357
2021-09-16 12:51:48.078886 : Epoch  6, Batch    598, Loss  0.884111, Average Loss  0.870858, Time  0.238111
2021-09-16 12:51:50.703047 : Epoch  6, Batch    599, Loss  0.878242, Average Loss  0.870896, Time  0.238667
2021-09-16 12:51:52.687630 : CheckPoint: Validation Loss  0.00030521, Best Loss  0.00029295
2021-09-16 12:51:53.295167 : Epoch  6, Batch    600, Loss  0.845152, Average Loss  0.870765, Time  0.239342
2021-09-16 12:51:55.654450 : Epoch  8, Batch    309, Loss  0.867515, Average Loss  0.867681, Time  0.265302
2021-09-16 12:51:55.882962 : Epoch  6, Batch    601, Loss  0.862174, Average Loss  0.870662, Time  0.238240
2021-09-16 12:51:58.474652 : Epoch  6, Batch    602, Loss  0.849905, Average Loss  0.870647, Time  0.239436
2021-09-16 12:51:58.641409 : Epoch  8, Batch    310, Loss  0.851703, Average Loss  0.867603, Time  0.263984
2021-09-16 12:52:01.055936 : Epoch  6, Batch    603, Loss  0.870980, Average Loss  0.870583, Time  0.238070
2021-09-16 12:52:01.596242 : Epoch  8, Batch    311, Loss  0.884891, Average Loss  0.867679, Time  0.265536
2021-09-16 12:52:03.633206 : Epoch  6, Batch    604, Loss  0.869745, Average Loss  0.870605, Time  0.238038
2021-09-16 12:52:04.591984 : Epoch  8, Batch    312, Loss  0.856577, Average Loss  0.867577, Time  0.264036
2021-09-16 12:52:06.231719 : Epoch  6, Batch    605, Loss  0.901447, Average Loss  0.870784, Time  0.239001
2021-09-16 12:52:07.554983 : Epoch  8, Batch    313, Loss  0.850508, Average Loss  0.867549, Time  0.264561
2021-09-16 12:52:08.823067 : Epoch  6, Batch    606, Loss  0.872377, Average Loss  0.870728, Time  0.238356
2021-09-16 12:52:10.536843 : Epoch  8, Batch    314, Loss  0.847804, Average Loss  0.867391, Time  0.265027
2021-09-16 12:52:11.417040 : Epoch  6, Batch    607, Loss  0.875772, Average Loss  0.870789, Time  0.238435
2021-09-16 12:52:13.541183 : Epoch  8, Batch    315, Loss  0.857829, Average Loss  0.867287, Time  0.264866
2021-09-16 12:52:13.998975 : Epoch  6, Batch    608, Loss  0.861631, Average Loss  0.870962, Time  0.238448
2021-09-16 12:52:16.539236 : Epoch  8, Batch    316, Loss  0.847712, Average Loss  0.867106, Time  0.264831
2021-09-16 12:52:16.576689 : Epoch  6, Batch    609, Loss  0.887966, Average Loss  0.870982, Time  0.238859
2021-09-16 12:52:19.171080 : Epoch  6, Batch    610, Loss  0.856623, Average Loss  0.870943, Time  0.238495
2021-09-16 12:52:19.538462 : Epoch  8, Batch    317, Loss  0.865814, Average Loss  0.867013, Time  0.264011
2021-09-16 12:52:21.765985 : Epoch  6, Batch    611, Loss  0.866006, Average Loss  0.870928, Time  0.238134
2021-09-16 12:52:22.489298 : Epoch  8, Batch    318, Loss  0.874874, Average Loss  0.866902, Time  0.264084
2021-09-16 12:52:24.358019 : Epoch  6, Batch    612, Loss  0.845947, Average Loss  0.870778, Time  0.238051
2021-09-16 12:52:25.468011 : Epoch  8, Batch    319, Loss  0.861913, Average Loss  0.866808, Time  0.275467
2021-09-16 12:52:26.947720 : Epoch  6, Batch    613, Loss  0.876439, Average Loss  0.870753, Time  0.238502
2021-09-16 12:52:28.432021 : Epoch  8, Batch    320, Loss  0.872229, Average Loss  0.866853, Time  0.266874
2021-09-16 12:52:29.535276 : Epoch  6, Batch    614, Loss  0.871075, Average Loss  0.870763, Time  0.238156
2021-09-16 12:52:31.398431 : Epoch  8, Batch    321, Loss  0.876196, Average Loss  0.866943, Time  0.264668
2021-09-16 12:52:32.122204 : Epoch  6, Batch    615, Loss  0.870200, Average Loss  0.870600, Time  0.238237
2021-09-16 12:52:34.359640 : Epoch  8, Batch    322, Loss  0.887178, Average Loss  0.867060, Time  0.265795
2021-09-16 12:52:34.709986 : Epoch  6, Batch    616, Loss  0.843408, Average Loss  0.870507, Time  0.238568
2021-09-16 12:52:37.290201 : Epoch  6, Batch    617, Loss  0.852738, Average Loss  0.870400, Time  0.238174
2021-09-16 12:52:37.331716 : Epoch  8, Batch    323, Loss  0.854859, Average Loss  0.866907, Time  0.264676
2021-09-16 12:52:39.872857 : Epoch  6, Batch    618, Loss  0.871314, Average Loss  0.870327, Time  0.239227
2021-09-16 12:52:40.323517 : Epoch  8, Batch    324, Loss  0.897637, Average Loss  0.867076, Time  0.263747
2021-09-16 12:52:42.460049 : Epoch  6, Batch    619, Loss  0.870800, Average Loss  0.870369, Time  0.238732
2021-09-16 12:52:43.298752 : Epoch  8, Batch    325, Loss  0.870401, Average Loss  0.867008, Time  0.264955
2021-09-16 12:52:45.094958 : Epoch  6, Batch    620, Loss  0.884379, Average Loss  0.870432, Time  0.238226
2021-09-16 12:52:46.302021 : Epoch  8, Batch    326, Loss  0.860086, Average Loss  0.866912, Time  0.265026
2021-09-16 12:52:49.300739 : Epoch  8, Batch    327, Loss  0.868238, Average Loss  0.866924, Time  0.263695
2021-09-16 12:52:52.292005 : Epoch  8, Batch    328, Loss  0.860607, Average Loss  0.866862, Time  0.264369
2021-09-16 12:52:55.229766 : Epoch  8, Batch    329, Loss  0.894516, Average Loss  0.866947, Time  0.265501
2021-09-16 12:52:58.226173 : Epoch  8, Batch    330, Loss  0.864752, Average Loss  0.867035, Time  0.264556
2021-09-16 12:53:01.255229 : Epoch  8, Batch    331, Loss  0.865265, Average Loss  0.867000, Time  0.264172
2021-09-16 12:53:04.255734 : Epoch  8, Batch    332, Loss  0.874337, Average Loss  0.867012, Time  0.264527
2021-09-16 12:53:07.242942 : Epoch  8, Batch    333, Loss  0.861338, Average Loss  0.867055, Time  0.264003
2021-09-16 12:53:10.225994 : Epoch  8, Batch    334, Loss  0.863614, Average Loss  0.867050, Time  0.278888
2021-09-16 12:53:13.200199 : Epoch  8, Batch    335, Loss  0.868504, Average Loss  0.867004, Time  0.264683
2021-09-16 12:53:16.166230 : Epoch  8, Batch    336, Loss  0.870080, Average Loss  0.867038, Time  0.263913
2021-09-16 12:53:19.140178 : Epoch  8, Batch    337, Loss  0.869615, Average Loss  0.867053, Time  0.265445
2021-09-16 12:53:22.131347 : Epoch  8, Batch    338, Loss  0.869613, Average Loss  0.867030, Time  0.264044
2021-09-16 12:53:25.090410 : Epoch  8, Batch    339, Loss  0.855371, Average Loss  0.867000, Time  0.264155
2021-09-16 12:53:28.090650 : Epoch  8, Batch    340, Loss  0.892204, Average Loss  0.867064, Time  0.265730
2021-09-16 12:53:31.092817 : Epoch  8, Batch    341, Loss  0.882283, Average Loss  0.867133, Time  0.264849
2021-09-16 12:53:34.082239 : Epoch  8, Batch    342, Loss  0.849043, Average Loss  0.867151, Time  0.265826
2021-09-16 12:53:37.084058 : Epoch  8, Batch    343, Loss  0.870665, Average Loss  0.867192, Time  0.264944
2021-09-16 12:53:40.090178 : Epoch  8, Batch    344, Loss  0.846329, Average Loss  0.867129, Time  0.265507
2021-09-16 12:53:43.061610 : Epoch  8, Batch    345, Loss  0.843805, Average Loss  0.867140, Time  0.264699
2021-09-16 12:53:46.058570 : Epoch  8, Batch    346, Loss  0.855227, Average Loss  0.867197, Time  0.265097
2021-09-16 12:53:49.027441 : Epoch  8, Batch    347, Loss  0.862356, Average Loss  0.867192, Time  0.264361
2021-09-16 12:53:52.014188 : Epoch  8, Batch    348, Loss  0.851615, Average Loss  0.867094, Time  0.264479
2021-09-16 12:53:55.004054 : Epoch  8, Batch    349, Loss  0.881258, Average Loss  0.867193, Time  0.263677
2021-09-16 12:53:57.979516 : Epoch  8, Batch    350, Loss  0.886567, Average Loss  0.867285, Time  0.272967
2021-09-16 12:54:00.982282 : Epoch  8, Batch    351, Loss  0.870900, Average Loss  0.867356, Time  0.264719
2021-09-16 12:54:03.940487 : Epoch  8, Batch    352, Loss  0.861810, Average Loss  0.867242, Time  0.264117
2021-09-16 12:54:06.915419 : Epoch  8, Batch    353, Loss  0.870299, Average Loss  0.867186, Time  0.264434
2021-09-16 12:54:09.906664 : Epoch  8, Batch    354, Loss  0.859678, Average Loss  0.867266, Time  0.265820
2021-09-16 12:54:12.873435 : Epoch  8, Batch    355, Loss  0.882065, Average Loss  0.867357, Time  0.264070
2021-09-16 12:54:15.838305 : Epoch  8, Batch    356, Loss  0.859042, Average Loss  0.867206, Time  0.265070
2021-09-16 12:54:18.825954 : Epoch  8, Batch    357, Loss  0.901102, Average Loss  0.867290, Time  0.264931
2021-09-16 12:54:21.788193 : Epoch  8, Batch    358, Loss  0.872541, Average Loss  0.867295, Time  0.264056
2021-09-16 12:54:24.754847 : Epoch  8, Batch    359, Loss  0.855271, Average Loss  0.867238, Time  0.265854
2021-09-16 12:54:27.777575 : Epoch  8, Batch    360, Loss  0.882717, Average Loss  0.867252, Time  0.264347
2021-09-16 12:54:30.740563 : Epoch  8, Batch    361, Loss  0.868322, Average Loss  0.867262, Time  0.267184
2021-09-16 12:54:33.752881 : Epoch  8, Batch    362, Loss  0.850585, Average Loss  0.867181, Time  0.264092
2021-09-16 12:54:36.712358 : Epoch  8, Batch    363, Loss  0.865319, Average Loss  0.867226, Time  0.264448
2021-09-16 12:54:39.672025 : Epoch  8, Batch    364, Loss  0.864649, Average Loss  0.867201, Time  0.264466
2021-09-16 12:54:42.672437 : Epoch  8, Batch    365, Loss  0.870760, Average Loss  0.867062, Time  0.276636
2021-09-16 12:54:45.643295 : Epoch  8, Batch    366, Loss  0.903189, Average Loss  0.867153, Time  0.264849
2021-09-16 12:54:48.626778 : Epoch  8, Batch    367, Loss  0.877367, Average Loss  0.867294, Time  0.264887
2021-09-16 12:54:51.604423 : Epoch  8, Batch    368, Loss  0.861377, Average Loss  0.867240, Time  0.263773
2021-09-16 12:54:54.562836 : Epoch  8, Batch    369, Loss  0.860614, Average Loss  0.867202, Time  0.264342
2021-09-16 12:54:57.549374 : Epoch  8, Batch    370, Loss  0.865987, Average Loss  0.867204, Time  0.264177
2021-09-16 12:55:00.544078 : Epoch  8, Batch    371, Loss  0.868111, Average Loss  0.867249, Time  0.264606
2021-09-16 12:55:03.529215 : Epoch  8, Batch    372, Loss  0.856278, Average Loss  0.867236, Time  0.263843
2021-09-16 12:55:06.515577 : Epoch  8, Batch    373, Loss  0.861909, Average Loss  0.867330, Time  0.263721
2021-09-16 12:55:09.478545 : Epoch  8, Batch    374, Loss  0.871495, Average Loss  0.867355, Time  0.264324
2021-09-16 12:55:12.433421 : Epoch  8, Batch    375, Loss  0.872523, Average Loss  0.867471, Time  0.264109
2021-09-16 12:55:15.401090 : Epoch  8, Batch    376, Loss  0.871750, Average Loss  0.867551, Time  0.263878
2021-09-16 12:55:18.376745 : Epoch  8, Batch    377, Loss  0.881376, Average Loss  0.867603, Time  0.264684
2021-09-16 12:55:21.374459 : Epoch  8, Batch    378, Loss  0.865040, Average Loss  0.867601, Time  0.264802
2021-09-16 12:55:24.349682 : Epoch  8, Batch    379, Loss  0.877276, Average Loss  0.867584, Time  0.264253
2021-09-16 12:55:27.318378 : Epoch  8, Batch    380, Loss  0.853098, Average Loss  0.867482, Time  0.276927
2021-09-16 12:55:30.276413 : Epoch  8, Batch    381, Loss  0.863430, Average Loss  0.867540, Time  0.265086
2021-09-16 12:55:33.226294 : Epoch  8, Batch    382, Loss  0.848109, Average Loss  0.867438, Time  0.263951
2021-09-16 12:55:36.192480 : Epoch  8, Batch    383, Loss  0.876208, Average Loss  0.867388, Time  0.264482
2021-09-16 12:55:39.166845 : Epoch  8, Batch    384, Loss  0.875832, Average Loss  0.867308, Time  0.264385
2021-09-16 12:55:42.156294 : Epoch  8, Batch    385, Loss  0.896510, Average Loss  0.867475, Time  0.264347
2021-09-16 12:55:45.123545 : Epoch  8, Batch    386, Loss  0.871836, Average Loss  0.867588, Time  0.263812
2021-09-16 12:55:48.119853 : Epoch  8, Batch    387, Loss  0.872789, Average Loss  0.867614, Time  0.264674
2021-09-16 12:55:51.084362 : Epoch  8, Batch    388, Loss  0.887228, Average Loss  0.867666, Time  0.265409
2021-09-16 12:55:54.042373 : Epoch  8, Batch    389, Loss  0.869252, Average Loss  0.867628, Time  0.263806
2021-09-16 12:55:57.046473 : Epoch  8, Batch    390, Loss  0.881929, Average Loss  0.867648, Time  0.264753
2021-09-16 12:56:00.007864 : Epoch  8, Batch    391, Loss  0.870730, Average Loss  0.867669, Time  0.263925
2021-09-16 12:56:02.965417 : Epoch  8, Batch    392, Loss  0.872486, Average Loss  0.867704, Time  0.263483
2021-09-16 12:56:05.924444 : Epoch  8, Batch    393, Loss  0.861049, Average Loss  0.867719, Time  0.264330
2021-09-16 12:56:08.926437 : Epoch  8, Batch    394, Loss  0.849247, Average Loss  0.867592, Time  0.265033
2021-09-16 12:56:11.893885 : Epoch  8, Batch    395, Loss  0.870609, Average Loss  0.867493, Time  0.263949
2021-09-16 12:56:14.860532 : Epoch  8, Batch    396, Loss  0.858286, Average Loss  0.867491, Time  0.271343
2021-09-16 12:56:17.824123 : Epoch  8, Batch    397, Loss  0.858219, Average Loss  0.867540, Time  0.263952
2021-09-16 12:56:20.784245 : Epoch  8, Batch    398, Loss  0.860366, Average Loss  0.867438, Time  0.265107
2021-09-16 12:56:23.762969 : Epoch  8, Batch    399, Loss  0.872673, Average Loss  0.867573, Time  0.265024
2021-09-16 12:56:26.740302 : Epoch  8, Batch    400, Loss  0.870741, Average Loss  0.867554, Time  0.264138
2021-09-16 12:56:29.726116 : Epoch  8, Batch    401, Loss  0.868420, Average Loss  0.867556, Time  0.264350
2021-09-16 12:56:32.673754 : Epoch  8, Batch    402, Loss  0.874975, Average Loss  0.867486, Time  0.264293
2021-09-16 12:56:35.653433 : Epoch  8, Batch    403, Loss  0.882575, Average Loss  0.867469, Time  0.266224
2021-09-16 12:56:38.631924 : Epoch  8, Batch    404, Loss  0.857356, Average Loss  0.867476, Time  0.265100
2021-09-16 12:56:41.632854 : Epoch  8, Batch    405, Loss  0.869287, Average Loss  0.867528, Time  0.264580
2021-09-16 12:56:44.622318 : Epoch  8, Batch    406, Loss  0.869693, Average Loss  0.867556, Time  0.264931
2021-09-16 12:56:47.590568 : Epoch  8, Batch    407, Loss  0.881720, Average Loss  0.867667, Time  0.264785
2021-09-16 12:56:48.298690 : CheckPoint: Validation Loss  0.00030219, Best Loss  0.00029207
2021-09-16 12:56:50.583064 : Epoch  8, Batch    408, Loss  0.881588, Average Loss  0.867743, Time  0.264133
2021-09-16 12:56:50.888241 : Epoch  6, Batch    621, Loss  0.860481, Average Loss  0.870603, Time  0.239425
2021-09-16 12:56:53.462069 : Epoch  6, Batch    622, Loss  0.880445, Average Loss  0.870636, Time  0.238450
2021-09-16 12:56:56.057705 : Epoch  6, Batch    623, Loss  0.852627, Average Loss  0.870551, Time  0.238000
2021-09-16 12:56:58.644397 : Epoch  6, Batch    624, Loss  0.872600, Average Loss  0.870539, Time  0.238340
2021-09-16 12:57:01.234958 : Epoch  6, Batch    625, Loss  0.871450, Average Loss  0.870533, Time  0.237991
2021-09-16 12:57:03.827068 : Epoch  6, Batch    626, Loss  0.843590, Average Loss  0.870384, Time  0.239138
2021-09-16 12:57:06.406056 : Epoch  6, Batch    627, Loss  0.871464, Average Loss  0.870393, Time  0.238036
2021-09-16 12:57:08.989949 : Epoch  6, Batch    628, Loss  0.893024, Average Loss  0.870602, Time  0.238226
2021-09-16 12:57:11.572974 : Epoch  6, Batch    629, Loss  0.865207, Average Loss  0.870498, Time  0.238240
2021-09-16 12:57:14.153233 : Epoch  6, Batch    630, Loss  0.877229, Average Loss  0.870528, Time  0.238507
2021-09-16 12:57:16.734324 : Epoch  6, Batch    631, Loss  0.879458, Average Loss  0.870526, Time  0.238476
2021-09-16 12:57:19.316836 : Epoch  6, Batch    632, Loss  0.865406, Average Loss  0.870466, Time  0.238158
2021-09-16 12:57:21.893919 : Epoch  6, Batch    633, Loss  0.868286, Average Loss  0.870405, Time  0.238583
2021-09-16 12:57:24.481921 : Epoch  6, Batch    634, Loss  0.897096, Average Loss  0.870418, Time  0.238611
2021-09-16 12:57:27.078991 : Epoch  6, Batch    635, Loss  0.886127, Average Loss  0.870502, Time  0.239263
2021-09-16 12:57:29.664265 : Epoch  6, Batch    636, Loss  0.860219, Average Loss  0.870435, Time  0.238407
2021-09-16 12:57:32.250035 : Epoch  6, Batch    637, Loss  0.881725, Average Loss  0.870437, Time  0.238876
2021-09-16 12:57:34.839973 : Epoch  6, Batch    638, Loss  0.853643, Average Loss  0.870335, Time  0.239022
2021-09-16 12:57:37.425953 : Epoch  6, Batch    639, Loss  0.882450, Average Loss  0.870321, Time  0.238287
2021-09-16 12:57:40.002781 : Epoch  6, Batch    640, Loss  0.863186, Average Loss  0.870234, Time  0.238153
2021-09-16 12:57:42.596247 : Epoch  6, Batch    641, Loss  0.889718, Average Loss  0.870345, Time  0.239239
2021-09-16 12:57:45.176015 : Epoch  6, Batch    642, Loss  0.883163, Average Loss  0.870472, Time  0.239718
2021-09-16 12:57:47.766169 : Epoch  6, Batch    643, Loss  0.877707, Average Loss  0.870505, Time  0.238286
2021-09-16 12:57:50.349473 : Epoch  6, Batch    644, Loss  0.878404, Average Loss  0.870519, Time  0.238642
2021-09-16 12:57:52.927251 : Epoch  6, Batch    645, Loss  0.881254, Average Loss  0.870745, Time  0.238265
2021-09-16 12:57:55.516196 : Epoch  6, Batch    646, Loss  0.881855, Average Loss  0.870697, Time  0.238289
2021-09-16 12:57:58.114262 : Epoch  6, Batch    647, Loss  0.881940, Average Loss  0.870769, Time  0.238250
2021-09-16 12:58:00.693988 : Epoch  6, Batch    648, Loss  0.836955, Average Loss  0.870555, Time  0.238203
2021-09-16 12:58:03.303712 : Epoch  6, Batch    649, Loss  0.869213, Average Loss  0.870489, Time  0.238472
2021-09-16 12:58:05.893731 : Epoch  6, Batch    650, Loss  0.848227, Average Loss  0.870400, Time  0.238595
2021-09-16 12:58:08.481749 : Epoch  6, Batch    651, Loss  0.885474, Average Loss  0.870472, Time  0.239540
2021-09-16 12:58:11.071273 : Epoch  6, Batch    652, Loss  0.862403, Average Loss  0.870489, Time  0.238586
2021-09-16 12:58:13.653954 : Epoch  6, Batch    653, Loss  0.861454, Average Loss  0.870530, Time  0.238635
2021-09-16 12:58:16.233038 : Epoch  6, Batch    654, Loss  0.873632, Average Loss  0.870442, Time  0.238132
2021-09-16 12:58:18.827168 : Epoch  6, Batch    655, Loss  0.872636, Average Loss  0.870526, Time  0.238493
2021-09-16 12:58:21.415923 : Epoch  6, Batch    656, Loss  0.854686, Average Loss  0.870431, Time  0.238081
2021-09-16 12:58:24.016708 : Epoch  6, Batch    657, Loss  0.878600, Average Loss  0.870510, Time  0.238326
2021-09-16 12:58:26.610931 : Epoch  6, Batch    658, Loss  0.876723, Average Loss  0.870447, Time  0.238861
2021-09-16 12:58:29.199214 : Epoch  6, Batch    659, Loss  0.857098, Average Loss  0.870457, Time  0.239404
2021-09-16 12:58:31.795186 : Epoch  6, Batch    660, Loss  0.882188, Average Loss  0.870448, Time  0.238468
2021-09-16 12:58:34.392284 : Epoch  6, Batch    661, Loss  0.886176, Average Loss  0.870599, Time  0.239622
2021-09-16 12:58:36.977720 : Epoch  6, Batch    662, Loss  0.863684, Average Loss  0.870546, Time  0.238503
2021-09-16 12:58:39.572974 : Epoch  6, Batch    663, Loss  0.886858, Average Loss  0.870690, Time  0.238498
2021-09-16 12:58:42.159002 : Epoch  6, Batch    664, Loss  0.869758, Average Loss  0.870782, Time  0.238799
2021-09-16 12:58:44.747814 : Epoch  6, Batch    665, Loss  0.853784, Average Loss  0.870665, Time  0.238506
2021-09-16 12:58:47.340684 : Epoch  6, Batch    666, Loss  0.869065, Average Loss  0.870583, Time  0.238755
2021-09-16 12:58:49.928857 : Epoch  6, Batch    667, Loss  0.872062, Average Loss  0.870554, Time  0.238257
2021-09-16 12:58:52.511185 : Epoch  6, Batch    668, Loss  0.862872, Average Loss  0.870490, Time  0.238483
2021-09-16 12:58:55.091035 : Epoch  6, Batch    669, Loss  0.879867, Average Loss  0.870402, Time  0.238321
2021-09-16 12:58:57.676239 : Epoch  6, Batch    670, Loss  0.857764, Average Loss  0.870345, Time  0.238206
2021-09-16 12:59:00.256998 : Epoch  6, Batch    671, Loss  0.840103, Average Loss  0.870185, Time  0.237938
2021-09-16 12:59:02.841909 : Epoch  6, Batch    672, Loss  0.861988, Average Loss  0.870134, Time  0.238583
2021-09-16 12:59:05.423975 : Epoch  6, Batch    673, Loss  0.876460, Average Loss  0.870148, Time  0.238135
2021-09-16 12:59:08.004098 : Epoch  6, Batch    674, Loss  0.878030, Average Loss  0.870174, Time  0.238025
2021-09-16 12:59:10.590928 : Epoch  6, Batch    675, Loss  0.869463, Average Loss  0.870235, Time  0.238738
2021-09-16 12:59:13.184906 : Epoch  6, Batch    676, Loss  0.882594, Average Loss  0.870365, Time  0.238666
2021-09-16 12:59:15.760841 : Epoch  6, Batch    677, Loss  0.881192, Average Loss  0.870372, Time  0.238526
2021-09-16 12:59:18.358910 : Epoch  6, Batch    678, Loss  0.876432, Average Loss  0.870386, Time  0.238950
2021-09-16 12:59:20.950255 : Epoch  6, Batch    679, Loss  0.895824, Average Loss  0.870439, Time  0.238345
2021-09-16 12:59:23.536204 : Epoch  6, Batch    680, Loss  0.870667, Average Loss  0.870390, Time  0.238572
2021-09-16 12:59:26.120037 : Epoch  6, Batch    681, Loss  0.880568, Average Loss  0.870430, Time  0.238535
2021-09-16 12:59:28.716059 : Epoch  6, Batch    682, Loss  0.867867, Average Loss  0.870408, Time  0.239157
2021-09-16 12:59:31.306921 : Epoch  6, Batch    683, Loss  0.873646, Average Loss  0.870402, Time  0.238412
2021-09-16 12:59:33.903809 : Epoch  6, Batch    684, Loss  0.894662, Average Loss  0.870539, Time  0.239077
2021-09-16 12:59:36.488049 : Epoch  6, Batch    685, Loss  0.873269, Average Loss  0.870643, Time  0.238976
2021-09-16 12:59:39.080774 : Epoch  6, Batch    686, Loss  0.873137, Average Loss  0.870607, Time  0.238811
2021-09-16 12:59:41.673796 : Epoch  6, Batch    687, Loss  0.890235, Average Loss  0.870645, Time  0.238665
2021-09-16 12:59:44.264687 : Epoch  6, Batch    688, Loss  0.875351, Average Loss  0.870710, Time  0.238545
2021-09-16 12:59:46.857004 : Epoch  6, Batch    689, Loss  0.872125, Average Loss  0.870764, Time  0.238611
2021-09-16 12:59:49.442893 : Epoch  6, Batch    690, Loss  0.875140, Average Loss  0.870776, Time  0.237968
2021-09-16 12:59:52.036976 : Epoch  6, Batch    691, Loss  0.859218, Average Loss  0.870762, Time  0.238370
2021-09-16 12:59:54.640800 : Epoch  6, Batch    692, Loss  0.876630, Average Loss  0.870800, Time  0.238924
2021-09-16 12:59:57.229226 : Epoch  6, Batch    693, Loss  0.856837, Average Loss  0.870645, Time  0.238208
2021-09-16 12:59:59.813898 : Epoch  6, Batch    694, Loss  0.887677, Average Loss  0.870716, Time  0.238288
2021-09-16 13:00:02.395121 : Epoch  6, Batch    695, Loss  0.869051, Average Loss  0.870823, Time  0.238332
2021-09-16 13:00:04.995820 : Epoch  6, Batch    696, Loss  0.869350, Average Loss  0.870817, Time  0.238465
2021-09-16 13:00:07.579104 : Epoch  6, Batch    697, Loss  0.876199, Average Loss  0.870796, Time  0.238400
2021-09-16 13:00:10.191002 : Epoch  6, Batch    698, Loss  0.865831, Average Loss  0.870718, Time  0.238347
2021-09-16 13:00:12.769803 : Epoch  6, Batch    699, Loss  0.869500, Average Loss  0.870722, Time  0.238377
2021-09-16 13:00:15.352230 : Epoch  6, Batch    700, Loss  0.861994, Average Loss  0.870656, Time  0.238420
2021-09-16 13:00:17.933744 : Epoch  6, Batch    701, Loss  0.845359, Average Loss  0.870500, Time  0.238332
2021-09-16 13:00:20.508976 : Epoch  6, Batch    702, Loss  0.880966, Average Loss  0.870517, Time  0.238204
2021-09-16 13:00:23.090935 : Epoch  6, Batch    703, Loss  0.863012, Average Loss  0.870478, Time  0.238380
2021-09-16 13:00:25.676873 : Epoch  6, Batch    704, Loss  0.866213, Average Loss  0.870480, Time  0.238233
2021-09-16 13:00:28.268700 : Epoch  6, Batch    705, Loss  0.893859, Average Loss  0.870573, Time  0.239615
2021-09-16 13:00:30.860885 : Epoch  6, Batch    706, Loss  0.867144, Average Loss  0.870565, Time  0.239001
2021-09-16 13:00:33.446163 : Epoch  6, Batch    707, Loss  0.853738, Average Loss  0.870505, Time  0.237994
2021-09-16 13:00:36.038250 : Epoch  6, Batch    708, Loss  0.857683, Average Loss  0.870354, Time  0.239266
2021-09-16 13:00:38.623151 : Epoch  6, Batch    709, Loss  0.878906, Average Loss  0.870376, Time  0.238263
2021-09-16 13:00:41.206047 : Epoch  6, Batch    710, Loss  0.872101, Average Loss  0.870497, Time  0.238734
2021-09-16 13:00:43.784727 : Epoch  6, Batch    711, Loss  0.855591, Average Loss  0.870435, Time  0.238964
2021-09-16 13:00:46.370948 : Epoch  6, Batch    712, Loss  0.885660, Average Loss  0.870480, Time  0.238177
2021-09-16 13:00:48.955953 : Epoch  6, Batch    713, Loss  0.873182, Average Loss  0.870527, Time  0.238820
2021-09-16 13:00:51.547062 : Epoch  6, Batch    714, Loss  0.866255, Average Loss  0.870532, Time  0.238599
2021-09-16 13:00:54.126255 : Epoch  6, Batch    715, Loss  0.858269, Average Loss  0.870523, Time  0.238369
2021-09-16 13:00:56.711835 : Epoch  6, Batch    716, Loss  0.861619, Average Loss  0.870422, Time  0.239202
2021-09-16 13:00:59.299011 : Epoch  6, Batch    717, Loss  0.873392, Average Loss  0.870507, Time  0.238469
2021-09-16 13:01:01.882967 : Epoch  6, Batch    718, Loss  0.889921, Average Loss  0.870573, Time  0.238698
2021-09-16 13:01:04.493219 : Epoch  6, Batch    719, Loss  0.869097, Average Loss  0.870390, Time  0.238655
2021-09-16 13:01:15.853589 : Epoch  6, Batch    720, Loss  0.859024, Average Loss  0.870290, Time  0.275734
2021-09-16 13:01:25.772245 : CheckPoint: Validation Loss  0.00030520, Best Loss  0.00029295
2021-09-16 13:01:28.735624 : Epoch  8, Batch    409, Loss  0.848949, Average Loss  0.867587, Time  0.264881
2021-09-16 13:01:31.729727 : Epoch  8, Batch    410, Loss  0.853174, Average Loss  0.867568, Time  0.264242
2021-09-16 13:01:34.699514 : Epoch  8, Batch    411, Loss  0.889215, Average Loss  0.867635, Time  0.265048
2021-09-16 13:01:37.711060 : Epoch  8, Batch    412, Loss  0.846101, Average Loss  0.867501, Time  0.263854
2021-09-16 13:01:40.707861 : Epoch  8, Batch    413, Loss  0.875476, Average Loss  0.867531, Time  0.276151
2021-09-16 13:01:43.706378 : Epoch  8, Batch    414, Loss  0.872357, Average Loss  0.867516, Time  0.264439
2021-09-16 13:01:46.681019 : Epoch  8, Batch    415, Loss  0.872056, Average Loss  0.867543, Time  0.264435
2021-09-16 13:01:49.662334 : Epoch  8, Batch    416, Loss  0.859567, Average Loss  0.867527, Time  0.264642
2021-09-16 13:01:52.656275 : Epoch  8, Batch    417, Loss  0.840350, Average Loss  0.867406, Time  0.264579
2021-09-16 13:01:55.662058 : Epoch  8, Batch    418, Loss  0.867655, Average Loss  0.867287, Time  0.264556
2021-09-16 13:01:58.638667 : Epoch  8, Batch    419, Loss  0.852396, Average Loss  0.867238, Time  0.263888
2021-09-16 13:02:01.613298 : Epoch  8, Batch    420, Loss  0.868463, Average Loss  0.867236, Time  0.265019
2021-09-16 13:02:04.623247 : Epoch  8, Batch    421, Loss  0.873190, Average Loss  0.867169, Time  0.264524
2021-09-16 13:02:07.675312 : Epoch  8, Batch    422, Loss  0.870328, Average Loss  0.867203, Time  0.265406
2021-09-16 13:02:10.723120 : Epoch  8, Batch    423, Loss  0.863324, Average Loss  0.867165, Time  0.264376
2021-09-16 13:02:13.695937 : Epoch  8, Batch    424, Loss  0.859412, Average Loss  0.867072, Time  0.264699
2021-09-16 13:02:16.667458 : Epoch  8, Batch    425, Loss  0.872645, Average Loss  0.867085, Time  0.265662
2021-09-16 13:02:19.638722 : Epoch  8, Batch    426, Loss  0.872116, Average Loss  0.867140, Time  0.264110
2021-09-16 13:02:22.618743 : Epoch  8, Batch    427, Loss  0.870130, Average Loss  0.867255, Time  0.265181
2021-09-16 13:02:25.632286 : Epoch  8, Batch    428, Loss  0.853726, Average Loss  0.867185, Time  0.276543
2021-09-16 13:02:28.643694 : Epoch  8, Batch    429, Loss  0.879332, Average Loss  0.867311, Time  0.265059
2021-09-16 13:02:31.610522 : Epoch  8, Batch    430, Loss  0.843380, Average Loss  0.867180, Time  0.264142
2021-09-16 13:02:34.584807 : Epoch  8, Batch    431, Loss  0.862783, Average Loss  0.867093, Time  0.264537
2021-09-16 13:02:37.592707 : Epoch  8, Batch    432, Loss  0.857076, Average Loss  0.866947, Time  0.264131
2021-09-16 13:02:40.584422 : Epoch  8, Batch    433, Loss  0.856481, Average Loss  0.866911, Time  0.264793
2021-09-16 13:02:43.545809 : Epoch  8, Batch    434, Loss  0.859053, Average Loss  0.866922, Time  0.263964
2021-09-16 13:02:46.513133 : Epoch  8, Batch    435, Loss  0.865387, Average Loss  0.866997, Time  0.263840
2021-09-16 13:02:49.508890 : Epoch  8, Batch    436, Loss  0.869754, Average Loss  0.867000, Time  0.264005
2021-09-16 13:02:52.490784 : Epoch  8, Batch    437, Loss  0.864974, Average Loss  0.867015, Time  0.263993
2021-09-16 13:02:55.456096 : Epoch  8, Batch    438, Loss  0.850468, Average Loss  0.866849, Time  0.264677
2021-09-16 13:02:58.431502 : Epoch  8, Batch    439, Loss  0.872696, Average Loss  0.866929, Time  0.264164
2021-09-16 13:03:01.407474 : Epoch  8, Batch    440, Loss  0.869796, Average Loss  0.866964, Time  0.263917
2021-09-16 13:03:04.378128 : Epoch  8, Batch    441, Loss  0.871543, Average Loss  0.866851, Time  0.264641
2021-09-16 13:03:07.337805 : Epoch  8, Batch    442, Loss  0.853886, Average Loss  0.866634, Time  0.263927
2021-09-16 13:03:10.322243 : Epoch  8, Batch    443, Loss  0.876699, Average Loss  0.866689, Time  0.273131
2021-09-16 13:03:13.297504 : Epoch  8, Batch    444, Loss  0.872369, Average Loss  0.866652, Time  0.265510
2021-09-16 13:03:16.284877 : Epoch  8, Batch    445, Loss  0.895637, Average Loss  0.866831, Time  0.264551
2021-09-16 13:03:19.266085 : Epoch  8, Batch    446, Loss  0.860885, Average Loss  0.866718, Time  0.263823
2021-09-16 13:03:22.233207 : Epoch  8, Batch    447, Loss  0.872977, Average Loss  0.866783, Time  0.264556
2021-09-16 13:03:25.245931 : Epoch  8, Batch    448, Loss  0.875488, Average Loss  0.866833, Time  0.263597
2021-09-16 13:03:28.203723 : Epoch  8, Batch    449, Loss  0.862714, Average Loss  0.866768, Time  0.264328
2021-09-16 13:03:31.172497 : Epoch  8, Batch    450, Loss  0.861545, Average Loss  0.866859, Time  0.264523
2021-09-16 13:03:34.135016 : Epoch  8, Batch    451, Loss  0.871302, Average Loss  0.866897, Time  0.263480
2021-09-16 13:03:37.121021 : Epoch  8, Batch    452, Loss  0.859339, Average Loss  0.866843, Time  0.263911
2021-09-16 13:03:40.086483 : Epoch  8, Batch    453, Loss  0.893710, Average Loss  0.866993, Time  0.264367
2021-09-16 13:03:43.072564 : Epoch  8, Batch    454, Loss  0.864859, Average Loss  0.867009, Time  0.264424
2021-09-16 13:03:46.080438 : Epoch  8, Batch    455, Loss  0.859805, Average Loss  0.866954, Time  0.265148
2021-09-16 13:03:49.065468 : Epoch  8, Batch    456, Loss  0.873736, Average Loss  0.866955, Time  0.265166
2021-09-16 13:03:52.039676 : Epoch  8, Batch    457, Loss  0.887401, Average Loss  0.867011, Time  0.264409
2021-09-16 13:03:55.043432 : Epoch  8, Batch    458, Loss  0.855603, Average Loss  0.866993, Time  0.275800
2021-09-16 13:03:58.011482 : Epoch  8, Batch    459, Loss  0.859198, Average Loss  0.867051, Time  0.264302
2021-09-16 13:04:01.002775 : Epoch  8, Batch    460, Loss  0.868703, Average Loss  0.867038, Time  0.262974
2021-09-16 13:04:02.449165 : Epoch  8, Batch    461, Loss  0.862622, Average Loss  0.867038, Time  0.165489
2021-09-16 13:04:05.450270 : Epoch  8, Batch    462, Loss  0.869155, Average Loss  0.866947, Time  0.264032
2021-09-16 13:04:08.416227 : Epoch  8, Batch    463, Loss  0.854827, Average Loss  0.866877, Time  0.263913
2021-09-16 13:04:11.378103 : Epoch  8, Batch    464, Loss  0.855696, Average Loss  0.866806, Time  0.264698
2021-09-16 13:04:14.395284 : Epoch  8, Batch    465, Loss  0.849867, Average Loss  0.866703, Time  0.264813
2021-09-16 13:04:17.423124 : Epoch  8, Batch    466, Loss  0.876840, Average Loss  0.866836, Time  0.265202
2021-09-16 13:04:20.430702 : Epoch  8, Batch    467, Loss  0.881354, Average Loss  0.866912, Time  0.264388
2021-09-16 13:04:23.431052 : Epoch  8, Batch    468, Loss  0.852384, Average Loss  0.866733, Time  0.264834
2021-09-16 13:04:26.433478 : Epoch  8, Batch    469, Loss  0.854358, Average Loss  0.866690, Time  0.265246
2021-09-16 13:04:29.405129 : Epoch  8, Batch    470, Loss  0.840995, Average Loss  0.866473, Time  0.264087
2021-09-16 13:04:32.419025 : Epoch  8, Batch    471, Loss  0.876377, Average Loss  0.866636, Time  0.265982
2021-09-16 13:04:35.382749 : Epoch  8, Batch    472, Loss  0.852093, Average Loss  0.866554, Time  0.263823
2021-09-16 13:04:38.347976 : Epoch  8, Batch    473, Loss  0.847359, Average Loss  0.866496, Time  0.263891
2021-09-16 13:04:41.321579 : Epoch  8, Batch    474, Loss  0.886711, Average Loss  0.866633, Time  0.277024
2021-09-16 13:04:44.286155 : Epoch  8, Batch    475, Loss  0.856069, Average Loss  0.866646, Time  0.263870
2021-09-16 13:04:47.247897 : Epoch  8, Batch    476, Loss  0.879087, Average Loss  0.866742, Time  0.264169
2021-09-16 13:04:50.210338 : Epoch  8, Batch    477, Loss  0.865615, Average Loss  0.866748, Time  0.263492
2021-09-16 13:04:53.175662 : Epoch  8, Batch    478, Loss  0.844070, Average Loss  0.866662, Time  0.263633
2021-09-16 13:04:56.170734 : Epoch  8, Batch    479, Loss  0.849700, Average Loss  0.866560, Time  0.264416
2021-09-16 13:04:59.131446 : Epoch  8, Batch    480, Loss  0.877950, Average Loss  0.866629, Time  0.264133
2021-09-16 13:05:02.096420 : Epoch  8, Batch    481, Loss  0.854354, Average Loss  0.866529, Time  0.264821
2021-09-16 13:05:05.079686 : Epoch  8, Batch    482, Loss  0.858096, Average Loss  0.866497, Time  0.264903
2021-09-16 13:05:08.072675 : Epoch  8, Batch    483, Loss  0.867242, Average Loss  0.866545, Time  0.266039
2021-09-16 13:05:11.051470 : Epoch  8, Batch    484, Loss  0.882400, Average Loss  0.866709, Time  0.264904
2021-09-16 13:05:14.064862 : Epoch  8, Batch    485, Loss  0.863041, Average Loss  0.866699, Time  0.264348
2021-09-16 13:05:15.536703 : CheckPoint: Validation Loss  0.00029885, Best Loss  0.00029207
2021-09-16 13:05:17.064705 : Epoch  8, Batch    486, Loss  0.882390, Average Loss  0.866856, Time  0.263838
2021-09-16 13:05:18.135051 : Epoch  6, Batch    721, Loss  0.869975, Average Loss  0.870265, Time  0.239517
2021-09-16 13:05:20.050516 : Epoch  8, Batch    487, Loss  0.885228, Average Loss  0.867019, Time  0.264363
2021-09-16 13:05:20.724710 : Epoch  6, Batch    722, Loss  0.865103, Average Loss  0.870228, Time  0.238193
2021-09-16 13:05:23.024347 : Epoch  8, Batch    488, Loss  0.874689, Average Loss  0.867069, Time  0.263216
2021-09-16 13:05:23.322050 : Epoch  6, Batch    723, Loss  0.883243, Average Loss  0.870332, Time  0.238647
2021-09-16 13:05:25.927942 : Epoch  6, Batch    724, Loss  0.875667, Average Loss  0.870371, Time  0.238156
2021-09-16 13:05:25.983612 : Epoch  8, Batch    489, Loss  0.862924, Average Loss  0.867032, Time  0.263717
2021-09-16 13:05:28.523985 : Epoch  6, Batch    725, Loss  0.874138, Average Loss  0.870484, Time  0.238078
2021-09-16 13:05:28.951966 : Epoch  8, Batch    490, Loss  0.869830, Average Loss  0.867033, Time  0.277251
2021-09-16 13:05:31.113952 : Epoch  6, Batch    726, Loss  0.880057, Average Loss  0.870409, Time  0.238257
2021-09-16 13:05:31.941067 : Epoch  8, Batch    491, Loss  0.876723, Average Loss  0.867124, Time  0.264623
2021-09-16 13:05:33.708117 : Epoch  6, Batch    727, Loss  0.865858, Average Loss  0.870409, Time  0.238307
2021-09-16 13:05:34.935384 : Epoch  8, Batch    492, Loss  0.863784, Average Loss  0.867100, Time  0.264468
2021-09-16 13:05:36.306076 : Epoch  6, Batch    728, Loss  0.870239, Average Loss  0.870511, Time  0.238595
2021-09-16 13:05:37.930290 : Epoch  8, Batch    493, Loss  0.872483, Average Loss  0.867184, Time  0.264100
2021-09-16 13:05:38.898960 : Epoch  6, Batch    729, Loss  0.878416, Average Loss  0.870527, Time  0.238250
2021-09-16 13:05:40.906657 : Epoch  8, Batch    494, Loss  0.863921, Average Loss  0.867100, Time  0.264705
2021-09-16 13:05:41.497302 : Epoch  6, Batch    730, Loss  0.891795, Average Loss  0.870657, Time  0.238559
2021-09-16 13:05:43.906827 : Epoch  8, Batch    495, Loss  0.878351, Average Loss  0.867164, Time  0.263825
2021-09-16 13:05:44.095753 : Epoch  6, Batch    731, Loss  0.872497, Average Loss  0.870567, Time  0.239416
2021-09-16 13:05:46.670509 : Epoch  6, Batch    732, Loss  0.863377, Average Loss  0.870513, Time  0.238493
2021-09-16 13:05:46.874826 : Epoch  8, Batch    496, Loss  0.872357, Average Loss  0.867228, Time  0.263784
2021-09-16 13:05:49.259214 : Epoch  6, Batch    733, Loss  0.876885, Average Loss  0.870527, Time  0.238436
2021-09-16 13:05:49.830038 : Epoch  8, Batch    497, Loss  0.859390, Average Loss  0.867209, Time  0.263762
2021-09-16 13:05:51.848766 : Epoch  6, Batch    734, Loss  0.877228, Average Loss  0.870565, Time  0.238321
2021-09-16 13:05:52.835009 : Epoch  8, Batch    498, Loss  0.850278, Average Loss  0.867110, Time  0.265185
2021-09-16 13:05:54.450197 : Epoch  6, Batch    735, Loss  0.862300, Average Loss  0.870501, Time  0.238186
2021-09-16 13:05:55.845631 : Epoch  8, Batch    499, Loss  0.863003, Average Loss  0.867145, Time  0.264627
2021-09-16 13:05:57.034936 : Epoch  6, Batch    736, Loss  0.860290, Average Loss  0.870441, Time  0.238293
2021-09-16 13:05:58.838694 : Epoch  8, Batch    500, Loss  0.857741, Average Loss  0.867141, Time  0.263677
2021-09-16 13:05:59.627688 : Epoch  6, Batch    737, Loss  0.858283, Average Loss  0.870380, Time  0.238658
2021-09-16 13:06:01.797479 : Epoch  8, Batch    501, Loss  0.872648, Average Loss  0.867197, Time  0.263650
2021-09-16 13:06:02.447737 : Epoch  6, Batch    738, Loss  0.887452, Average Loss  0.870580, Time  0.239286
2021-09-16 13:06:04.762867 : Epoch  8, Batch    502, Loss  0.869694, Average Loss  0.867203, Time  0.264593
2021-09-16 13:06:05.039685 : Epoch  6, Batch    739, Loss  0.885380, Average Loss  0.870670, Time  0.239226
2021-09-16 13:06:07.624942 : Epoch  6, Batch    740, Loss  0.870532, Average Loss  0.870614, Time  0.238328
2021-09-16 13:06:07.724389 : Epoch  8, Batch    503, Loss  0.861125, Average Loss  0.867138, Time  0.264367
2021-09-16 13:06:10.223356 : Epoch  6, Batch    741, Loss  0.861948, Average Loss  0.870547, Time  0.239231
2021-09-16 13:06:10.716803 : Epoch  8, Batch    504, Loss  0.883016, Average Loss  0.867237, Time  0.264926
2021-09-16 13:06:12.822865 : Epoch  6, Batch    742, Loss  0.885187, Average Loss  0.870562, Time  0.238449
2021-09-16 13:06:13.698814 : Epoch  8, Batch    505, Loss  0.884667, Average Loss  0.867283, Time  0.276761
2021-09-16 13:06:15.427265 : Epoch  6, Batch    743, Loss  0.840326, Average Loss  0.870438, Time  0.238455
2021-09-16 13:06:16.703057 : Epoch  8, Batch    506, Loss  0.869543, Average Loss  0.867294, Time  0.265190
2021-09-16 13:06:18.021004 : Epoch  6, Batch    744, Loss  0.856220, Average Loss  0.870410, Time  0.240100
2021-09-16 13:06:19.698756 : Epoch  8, Batch    507, Loss  0.880037, Average Loss  0.867317, Time  0.266196
2021-09-16 13:06:20.609256 : Epoch  6, Batch    745, Loss  0.878751, Average Loss  0.870452, Time  0.238304
2021-09-16 13:06:22.676053 : Epoch  8, Batch    508, Loss  0.883527, Average Loss  0.867367, Time  0.264062
2021-09-16 13:06:23.203353 : Epoch  6, Batch    746, Loss  0.881736, Average Loss  0.870508, Time  0.238791
2021-09-16 13:06:25.796170 : Epoch  6, Batch    747, Loss  0.845691, Average Loss  0.870412, Time  0.238484
2021-09-16 13:06:28.392077 : Epoch  6, Batch    748, Loss  0.886443, Average Loss  0.870646, Time  0.238220
2021-09-16 13:06:30.990137 : Epoch  6, Batch    749, Loss  0.865153, Average Loss  0.870796, Time  0.238510
2021-09-16 13:06:33.578318 : Epoch  6, Batch    750, Loss  0.873604, Average Loss  0.870855, Time  0.238196
2021-09-16 13:06:36.168921 : Epoch  6, Batch    751, Loss  0.885579, Average Loss  0.870991, Time  0.238423
2021-09-16 13:06:38.756963 : Epoch  6, Batch    752, Loss  0.867700, Average Loss  0.871002, Time  0.238197
2021-09-16 13:06:41.348785 : Epoch  6, Batch    753, Loss  0.883840, Average Loss  0.871011, Time  0.239100
2021-09-16 13:06:43.933916 : Epoch  6, Batch    754, Loss  0.862539, Average Loss  0.871059, Time  0.238499
2021-09-16 13:06:46.526959 : Epoch  6, Batch    755, Loss  0.861284, Average Loss  0.871040, Time  0.238014
2021-09-16 13:06:49.124862 : Epoch  6, Batch    756, Loss  0.874486, Average Loss  0.871003, Time  0.238049
2021-09-16 13:06:51.708013 : Epoch  6, Batch    757, Loss  0.855536, Average Loss  0.870942, Time  0.238252
2021-09-16 13:06:54.293716 : Epoch  6, Batch    758, Loss  0.858879, Average Loss  0.870815, Time  0.238271
2021-09-16 13:06:56.880902 : Epoch  6, Batch    759, Loss  0.858616, Average Loss  0.870792, Time  0.238109
2021-09-16 13:06:59.465979 : Epoch  6, Batch    760, Loss  0.887653, Average Loss  0.870946, Time  0.238364
2021-09-16 13:07:02.054702 : Epoch  6, Batch    761, Loss  0.844805, Average Loss  0.870842, Time  0.238095
2021-09-16 13:07:04.649058 : Epoch  6, Batch    762, Loss  0.886682, Average Loss  0.870941, Time  0.239285
2021-09-16 13:07:07.240917 : Epoch  6, Batch    763, Loss  0.862422, Average Loss  0.870882, Time  0.238673
2021-09-16 13:07:09.838092 : Epoch  6, Batch    764, Loss  0.880170, Average Loss  0.870792, Time  0.238858
2021-09-16 13:07:12.431465 : Epoch  6, Batch    765, Loss  0.843631, Average Loss  0.870753, Time  0.239136
2021-09-16 13:07:15.013955 : Epoch  6, Batch    766, Loss  0.873635, Average Loss  0.870821, Time  0.238168
2021-09-16 13:07:17.603958 : Epoch  6, Batch    767, Loss  0.853196, Average Loss  0.870724, Time  0.238376
2021-09-16 13:07:20.199706 : Epoch  6, Batch    768, Loss  0.884068, Average Loss  0.870787, Time  0.238744
2021-09-16 13:07:22.787702 : Epoch  6, Batch    769, Loss  0.883965, Average Loss  0.870805, Time  0.238339
2021-09-16 13:07:25.373982 : Epoch  6, Batch    770, Loss  0.845123, Average Loss  0.870652, Time  0.238531
2021-09-16 13:07:27.963962 : Epoch  6, Batch    771, Loss  0.887944, Average Loss  0.870692, Time  0.238428
2021-09-16 13:07:30.556713 : Epoch  6, Batch    772, Loss  0.864411, Average Loss  0.870632, Time  0.238679
2021-09-16 13:07:33.143727 : Epoch  6, Batch    773, Loss  0.861074, Average Loss  0.870489, Time  0.238349
2021-09-16 13:07:35.733717 : Epoch  6, Batch    774, Loss  0.859259, Average Loss  0.870379, Time  0.239325
2021-09-16 13:07:38.327006 : Epoch  6, Batch    775, Loss  0.852824, Average Loss  0.870239, Time  0.238266
2021-09-16 13:07:40.913060 : Epoch  6, Batch    776, Loss  0.855181, Average Loss  0.870272, Time  0.238264
2021-09-16 13:07:43.498764 : Epoch  6, Batch    777, Loss  0.867110, Average Loss  0.870259, Time  0.238548
2021-09-16 13:07:46.073089 : Epoch  6, Batch    778, Loss  0.872388, Average Loss  0.870339, Time  0.238310
2021-09-16 13:07:48.659006 : Epoch  6, Batch    779, Loss  0.873086, Average Loss  0.870388, Time  0.238970
2021-09-16 13:07:49.912692 : Epoch  6, Batch    780, Loss  0.872963, Average Loss  0.870347, Time  0.141338
2021-09-16 13:07:52.493979 : Epoch  6, Batch    781, Loss  0.857249, Average Loss  0.870213, Time  0.238281
2021-09-16 13:07:55.079372 : Epoch  6, Batch    782, Loss  0.870486, Average Loss  0.870248, Time  0.239379
2021-09-16 13:07:57.660714 : Epoch  6, Batch    783, Loss  0.878620, Average Loss  0.870375, Time  0.238474
2021-09-16 13:08:00.256722 : Epoch  6, Batch    784, Loss  0.858899, Average Loss  0.870333, Time  0.238387
2021-09-16 13:08:02.855689 : Epoch  6, Batch    785, Loss  0.871709, Average Loss  0.870358, Time  0.238283
2021-09-16 13:08:05.447196 : Epoch  6, Batch    786, Loss  0.890083, Average Loss  0.870442, Time  0.238952
2021-09-16 13:08:08.037011 : Epoch  6, Batch    787, Loss  0.863767, Average Loss  0.870393, Time  0.238228
2021-09-16 13:08:10.627020 : Epoch  6, Batch    788, Loss  0.864865, Average Loss  0.870371, Time  0.238912
2021-09-16 13:08:13.215997 : Epoch  6, Batch    789, Loss  0.883186, Average Loss  0.870399, Time  0.239074
2021-09-16 13:08:15.799782 : Epoch  6, Batch    790, Loss  0.858324, Average Loss  0.870324, Time  0.238644
2021-09-16 13:08:18.388016 : Epoch  6, Batch    791, Loss  0.871019, Average Loss  0.870400, Time  0.238502
2021-09-16 13:08:20.995975 : Epoch  6, Batch    792, Loss  0.886431, Average Loss  0.870384, Time  0.239351
2021-09-16 13:08:23.587840 : Epoch  6, Batch    793, Loss  0.875402, Average Loss  0.870456, Time  0.238540
2021-09-16 13:08:26.195983 : Epoch  6, Batch    794, Loss  0.857531, Average Loss  0.870380, Time  0.238396
2021-09-16 13:08:28.783064 : Epoch  6, Batch    795, Loss  0.838615, Average Loss  0.870249, Time  0.238347
2021-09-16 13:08:31.369795 : Epoch  6, Batch    796, Loss  0.844758, Average Loss  0.870088, Time  0.239368
2021-09-16 13:08:33.979822 : Epoch  6, Batch    797, Loss  0.863120, Average Loss  0.869996, Time  0.238603
2021-09-16 13:08:36.571288 : Epoch  6, Batch    798, Loss  0.875937, Average Loss  0.869956, Time  0.238857
2021-09-16 13:08:39.173001 : Epoch  6, Batch    799, Loss  0.863846, Average Loss  0.869884, Time  0.238339
2021-09-16 13:08:41.865936 : Epoch  6, Batch    800, Loss  0.874154, Average Loss  0.870029, Time  0.238274
2021-09-16 13:08:44.461716 : Epoch  6, Batch    801, Loss  0.870963, Average Loss  0.870073, Time  0.238401
2021-09-16 13:08:47.047046 : Epoch  6, Batch    802, Loss  0.882700, Average Loss  0.870237, Time  0.238348
2021-09-16 13:08:49.639724 : Epoch  6, Batch    803, Loss  0.886616, Average Loss  0.870315, Time  0.239028
2021-09-16 13:08:52.234699 : Epoch  6, Batch    804, Loss  0.877441, Average Loss  0.870353, Time  0.237951
2021-09-16 13:08:54.829696 : Epoch  6, Batch    805, Loss  0.870053, Average Loss  0.870196, Time  0.238374
2021-09-16 13:08:57.426993 : Epoch  6, Batch    806, Loss  0.866318, Average Loss  0.870166, Time  0.239524
2021-09-16 13:09:00.043937 : Epoch  6, Batch    807, Loss  0.872849, Average Loss  0.870151, Time  0.237926
2021-09-16 13:09:02.638009 : Epoch  6, Batch    808, Loss  0.873755, Average Loss  0.870212, Time  0.238619
2021-09-16 13:09:05.228676 : Epoch  6, Batch    809, Loss  0.892093, Average Loss  0.870233, Time  0.239516
2021-09-16 13:09:07.810744 : Epoch  6, Batch    810, Loss  0.860860, Average Loss  0.870254, Time  0.238092
2021-09-16 13:09:10.399758 : Epoch  6, Batch    811, Loss  0.849452, Average Loss  0.870171, Time  0.239063
2021-09-16 13:09:12.983960 : Epoch  6, Batch    812, Loss  0.875000, Average Loss  0.870316, Time  0.238791
2021-09-16 13:09:15.579106 : Epoch  6, Batch    813, Loss  0.865918, Average Loss  0.870264, Time  0.238342
2021-09-16 13:09:18.160956 : Epoch  6, Batch    814, Loss  0.866886, Average Loss  0.870243, Time  0.238851
2021-09-16 13:09:20.746626 : Epoch  6, Batch    815, Loss  0.892650, Average Loss  0.870355, Time  0.238831
2021-09-16 13:09:23.340215 : Epoch  6, Batch    816, Loss  0.870669, Average Loss  0.870491, Time  0.238951
2021-09-16 13:09:25.921410 : Epoch  6, Batch    817, Loss  0.864364, Average Loss  0.870549, Time  0.238262
2021-09-16 13:09:28.504038 : Epoch  6, Batch    818, Loss  0.898387, Average Loss  0.870685, Time  0.238396
2021-09-16 13:09:31.087977 : Epoch  6, Batch    819, Loss  0.870742, Average Loss  0.870684, Time  0.239298
2021-09-16 13:09:33.678714 : Epoch  6, Batch    820, Loss  0.858888, Average Loss  0.870557, Time  0.238662
2021-09-16 13:10:57.934293 : CheckPoint: Validation Loss  0.00031214, Best Loss  0.00029295
2021-09-16 13:11:00.937858 : Epoch  8, Batch    509, Loss  0.854372, Average Loss  0.867301, Time  0.275532
2021-09-16 13:11:03.922544 : Epoch  8, Batch    510, Loss  0.861814, Average Loss  0.867352, Time  0.264308
2021-09-16 13:11:06.902005 : Epoch  8, Batch    511, Loss  0.857404, Average Loss  0.867214, Time  0.264174
2021-09-16 13:11:09.885236 : Epoch  8, Batch    512, Loss  0.858409, Average Loss  0.867223, Time  0.264380
2021-09-16 13:11:12.883938 : Epoch  8, Batch    513, Loss  0.868335, Average Loss  0.867312, Time  0.265695
2021-09-16 13:11:15.858798 : Epoch  8, Batch    514, Loss  0.874085, Average Loss  0.867444, Time  0.264082
2021-09-16 13:11:18.825902 : Epoch  8, Batch    515, Loss  0.875223, Average Loss  0.867531, Time  0.263808
2021-09-16 13:11:21.785063 : Epoch  8, Batch    516, Loss  0.905256, Average Loss  0.867819, Time  0.264173
2021-09-16 13:11:24.738636 : Epoch  8, Batch    517, Loss  0.862312, Average Loss  0.867801, Time  0.265099
2021-09-16 13:11:27.716314 : Epoch  8, Batch    518, Loss  0.846298, Average Loss  0.867658, Time  0.264473
2021-09-16 13:11:30.698020 : Epoch  8, Batch    519, Loss  0.874465, Average Loss  0.867721, Time  0.264075
2021-09-16 13:11:33.665614 : Epoch  8, Batch    520, Loss  0.861207, Average Loss  0.867666, Time  0.264117
2021-09-16 13:11:36.650531 : Epoch  8, Batch    521, Loss  0.876270, Average Loss  0.867666, Time  0.264419
2021-09-16 13:11:39.656673 : Epoch  8, Batch    522, Loss  0.864667, Average Loss  0.867554, Time  0.265107
2021-09-16 13:11:42.642455 : Epoch  8, Batch    523, Loss  0.866836, Average Loss  0.867613, Time  0.265557
2021-09-16 13:11:45.628315 : Epoch  8, Batch    524, Loss  0.878152, Average Loss  0.867516, Time  0.276135
2021-09-16 13:11:48.583492 : Epoch  8, Batch    525, Loss  0.872555, Average Loss  0.867527, Time  0.264839
2021-09-16 13:11:51.552799 : Epoch  8, Batch    526, Loss  0.864974, Average Loss  0.867551, Time  0.264177
2021-09-16 13:11:54.501615 : Epoch  8, Batch    527, Loss  0.855418, Average Loss  0.867487, Time  0.264283
2021-09-16 13:11:57.483613 : Epoch  8, Batch    528, Loss  0.862921, Average Loss  0.867499, Time  0.264661
2021-09-16 13:12:00.471222 : Epoch  8, Batch    529, Loss  0.867542, Average Loss  0.867364, Time  0.263715
2021-09-16 13:12:03.445326 : Epoch  8, Batch    530, Loss  0.889997, Average Loss  0.867490, Time  0.264028
2021-09-16 13:12:06.417157 : Epoch  8, Batch    531, Loss  0.877945, Average Loss  0.867553, Time  0.264694
2021-09-16 13:12:09.390917 : Epoch  8, Batch    532, Loss  0.864024, Average Loss  0.867502, Time  0.263701
2021-09-16 13:12:12.361130 : Epoch  8, Batch    533, Loss  0.872515, Average Loss  0.867558, Time  0.263518
2021-09-16 13:12:15.316300 : Epoch  8, Batch    534, Loss  0.876184, Average Loss  0.867621, Time  0.265540
2021-09-16 13:12:18.268135 : Epoch  8, Batch    535, Loss  0.860375, Average Loss  0.867580, Time  0.263830
2021-09-16 13:12:21.240061 : Epoch  8, Batch    536, Loss  0.870753, Average Loss  0.867583, Time  0.264823
2021-09-16 13:12:24.202453 : Epoch  8, Batch    537, Loss  0.859499, Average Loss  0.867533, Time  0.263698
2021-09-16 13:12:27.164639 : Epoch  8, Batch    538, Loss  0.874957, Average Loss  0.867560, Time  0.263863
2021-09-16 13:12:30.130972 : Epoch  8, Batch    539, Loss  0.858906, Average Loss  0.867577, Time  0.274550
2021-09-16 13:12:33.107117 : Epoch  8, Batch    540, Loss  0.882177, Average Loss  0.867527, Time  0.264371
2021-09-16 13:12:36.062085 : Epoch  8, Batch    541, Loss  0.867938, Average Loss  0.867455, Time  0.264335
2021-09-16 13:12:39.034974 : Epoch  8, Batch    542, Loss  0.882022, Average Loss  0.867620, Time  0.264625
2021-09-16 13:12:42.007818 : Epoch  8, Batch    543, Loss  0.846734, Average Loss  0.867501, Time  0.263902
2021-09-16 13:12:44.977843 : Epoch  8, Batch    544, Loss  0.884170, Average Loss  0.867690, Time  0.263739
2021-09-16 13:12:47.909336 : Epoch  8, Batch    545, Loss  0.873307, Average Loss  0.867837, Time  0.265080
2021-09-16 13:12:50.887457 : Epoch  8, Batch    546, Loss  0.884988, Average Loss  0.867986, Time  0.264034
2021-09-16 13:12:53.853402 : Epoch  8, Batch    547, Loss  0.849592, Average Loss  0.867922, Time  0.265704
2021-09-16 13:12:56.830131 : Epoch  8, Batch    548, Loss  0.863459, Average Loss  0.867981, Time  0.265228
2021-09-16 13:12:59.784758 : Epoch  8, Batch    549, Loss  0.877164, Average Loss  0.867961, Time  0.264819
2021-09-16 13:13:02.782854 : Epoch  8, Batch    550, Loss  0.850057, Average Loss  0.867778, Time  0.264566
2021-09-16 13:13:05.747220 : Epoch  8, Batch    551, Loss  0.880457, Average Loss  0.867826, Time  0.264331
2021-09-16 13:13:08.726322 : Epoch  8, Batch    552, Loss  0.847639, Average Loss  0.867755, Time  0.263689
2021-09-16 13:13:11.697026 : Epoch  8, Batch    553, Loss  0.870531, Average Loss  0.867757, Time  0.264724
2021-09-16 13:13:14.670070 : Epoch  8, Batch    554, Loss  0.862002, Average Loss  0.867768, Time  0.264629
2021-09-16 13:13:17.639059 : Epoch  8, Batch    555, Loss  0.856881, Average Loss  0.867642, Time  0.271089
2021-09-16 13:13:20.625596 : Epoch  8, Batch    556, Loss  0.859334, Average Loss  0.867644, Time  0.264230
2021-09-16 13:13:23.585321 : Epoch  8, Batch    557, Loss  0.877908, Average Loss  0.867528, Time  0.265373
2021-09-16 13:13:26.632789 : Epoch  8, Batch    558, Loss  0.851722, Average Loss  0.867424, Time  0.265814
2021-09-16 13:13:29.658988 : Epoch  8, Batch    559, Loss  0.858209, Average Loss  0.867438, Time  0.264604
2021-09-16 13:13:32.622320 : Epoch  8, Batch    560, Loss  0.856032, Average Loss  0.867305, Time  0.263615
2021-09-16 13:13:35.591470 : Epoch  8, Batch    561, Loss  0.875962, Average Loss  0.867343, Time  0.263981
2021-09-16 13:13:36.513696 : CheckPoint: Validation Loss  0.00030202, Best Loss  0.00029207
2021-09-16 13:13:38.569708 : Epoch  8, Batch    562, Loss  0.880404, Average Loss  0.867492, Time  0.264568
2021-09-16 13:13:39.115772 : Epoch  6, Batch    821, Loss  0.873236, Average Loss  0.870621, Time  0.239487
2021-09-16 13:13:41.562926 : Epoch  8, Batch    563, Loss  0.855262, Average Loss  0.867442, Time  0.262853
2021-09-16 13:13:41.731215 : Epoch  6, Batch    822, Loss  0.879729, Average Loss  0.870617, Time  0.238591
2021-09-16 13:13:44.327725 : Epoch  6, Batch    823, Loss  0.861236, Average Loss  0.870660, Time  0.239078
2021-09-16 13:13:44.510129 : Epoch  8, Batch    564, Loss  0.857661, Average Loss  0.867407, Time  0.263738
2021-09-16 13:13:46.939261 : Epoch  6, Batch    824, Loss  0.878773, Average Loss  0.870691, Time  0.238775
2021-09-16 13:13:47.459025 : Epoch  8, Batch    565, Loss  0.866119, Average Loss  0.867384, Time  0.264210
2021-09-16 13:13:49.543266 : Epoch  6, Batch    825, Loss  0.866286, Average Loss  0.870665, Time  0.239337
2021-09-16 13:13:50.432928 : Epoch  8, Batch    566, Loss  0.849464, Average Loss  0.867115, Time  0.264299
2021-09-16 13:13:52.158903 : Epoch  6, Batch    826, Loss  0.871696, Average Loss  0.870806, Time  0.239001
2021-09-16 13:13:53.435960 : Epoch  8, Batch    567, Loss  0.866807, Average Loss  0.867062, Time  0.264791
2021-09-16 13:13:54.765062 : Epoch  6, Batch    827, Loss  0.850211, Average Loss  0.870700, Time  0.238298
2021-09-16 13:13:56.429213 : Epoch  8, Batch    568, Loss  0.865882, Average Loss  0.867085, Time  0.264229
2021-09-16 13:13:57.438233 : Epoch  6, Batch    828, Loss  0.846502, Average Loss  0.870467, Time  0.267025
2021-09-16 13:13:59.417889 : Epoch  8, Batch    569, Loss  0.883997, Average Loss  0.867202, Time  0.263861
2021-09-16 13:14:00.046992 : Epoch  6, Batch    829, Loss  0.873676, Average Loss  0.870509, Time  0.238063
2021-09-16 13:14:02.419727 : Epoch  8, Batch    570, Loss  0.890000, Average Loss  0.867322, Time  0.274069
2021-09-16 13:14:02.650989 : Epoch  6, Batch    830, Loss  0.881085, Average Loss  0.870529, Time  0.238195
2021-09-16 13:14:05.251023 : Epoch  6, Batch    831, Loss  0.855689, Average Loss  0.870410, Time  0.238766
2021-09-16 13:14:05.412029 : Epoch  8, Batch    571, Loss  0.857770, Average Loss  0.867270, Time  0.264241
2021-09-16 13:14:07.854942 : Epoch  6, Batch    832, Loss  0.856496, Average Loss  0.870365, Time  0.238769
2021-09-16 13:14:08.362796 : Epoch  8, Batch    572, Loss  0.857255, Average Loss  0.867275, Time  0.264489
2021-09-16 13:14:10.457999 : Epoch  6, Batch    833, Loss  0.874071, Average Loss  0.870394, Time  0.238079
2021-09-16 13:14:11.345338 : Epoch  8, Batch    573, Loss  0.866930, Average Loss  0.867300, Time  0.263902
2021-09-16 13:14:13.057601 : Epoch  6, Batch    834, Loss  0.880586, Average Loss  0.870312, Time  0.238159
2021-09-16 13:14:14.314536 : Epoch  8, Batch    574, Loss  0.871836, Average Loss  0.867302, Time  0.264544
2021-09-16 13:14:15.665937 : Epoch  6, Batch    835, Loss  0.839895, Average Loss  0.870080, Time  0.238131
2021-09-16 13:14:17.285901 : Epoch  8, Batch    575, Loss  0.861813, Average Loss  0.867248, Time  0.263556
2021-09-16 13:14:18.273711 : Epoch  6, Batch    836, Loss  0.878280, Average Loss  0.870171, Time  0.238373
2021-09-16 13:14:20.247929 : Epoch  8, Batch    576, Loss  0.880835, Average Loss  0.867294, Time  0.263740
2021-09-16 13:14:20.880700 : Epoch  6, Batch    837, Loss  0.858374, Average Loss  0.870054, Time  0.238190
2021-09-16 13:14:23.227891 : Epoch  8, Batch    577, Loss  0.861002, Average Loss  0.867192, Time  0.264835
2021-09-16 13:14:23.493273 : Epoch  6, Batch    838, Loss  0.878237, Average Loss  0.870177, Time  0.238616
2021-09-16 13:14:26.089133 : Epoch  6, Batch    839, Loss  0.881343, Average Loss  0.870171, Time  0.238151
2021-09-16 13:14:26.213442 : Epoch  8, Batch    578, Loss  0.877536, Average Loss  0.867254, Time  0.264071
2021-09-16 13:14:28.716020 : Epoch  6, Batch    840, Loss  0.851153, Average Loss  0.870111, Time  0.238202
2021-09-16 13:14:29.174182 : Epoch  8, Batch    579, Loss  0.905961, Average Loss  0.867398, Time  0.264550
2021-09-16 13:14:31.314949 : Epoch  6, Batch    841, Loss  0.858244, Average Loss  0.869954, Time  0.238086
2021-09-16 13:14:32.128178 : Epoch  8, Batch    580, Loss  0.861761, Average Loss  0.867441, Time  0.263638
2021-09-16 13:14:33.914318 : Epoch  6, Batch    842, Loss  0.860053, Average Loss  0.869838, Time  0.238148
2021-09-16 13:14:35.084103 : Epoch  8, Batch    581, Loss  0.865731, Average Loss  0.867453, Time  0.263818
2021-09-16 13:14:36.514732 : Epoch  6, Batch    843, Loss  0.881036, Average Loss  0.869855, Time  0.238429
2021-09-16 13:14:38.045081 : Epoch  8, Batch    582, Loss  0.867651, Average Loss  0.867550, Time  0.264722
2021-09-16 13:14:39.123089 : Epoch  6, Batch    844, Loss  0.859017, Average Loss  0.869758, Time  0.238158
2021-09-16 13:14:41.007323 : Epoch  8, Batch    583, Loss  0.835704, Average Loss  0.867348, Time  0.264372
2021-09-16 13:14:41.726245 : Epoch  6, Batch    845, Loss  0.869022, Average Loss  0.869697, Time  0.238527
2021-09-16 13:14:43.979852 : Epoch  8, Batch    584, Loss  0.877599, Average Loss  0.867357, Time  0.263599
2021-09-16 13:14:44.339981 : Epoch  6, Batch    846, Loss  0.863519, Average Loss  0.869605, Time  0.239097
2021-09-16 13:14:46.930120 : Epoch  6, Batch    847, Loss  0.866656, Average Loss  0.869529, Time  0.238217
2021-09-16 13:14:46.954641 : Epoch  8, Batch    585, Loss  0.847656, Average Loss  0.867112, Time  0.264231
2021-09-16 13:14:49.535773 : Epoch  6, Batch    848, Loss  0.866478, Average Loss  0.869676, Time  0.239360
2021-09-16 13:14:49.945430 : Epoch  8, Batch    586, Loss  0.863047, Average Loss  0.867068, Time  0.276023
2021-09-16 13:14:52.134920 : Epoch  6, Batch    849, Loss  0.852053, Average Loss  0.869591, Time  0.238019
2021-09-16 13:14:52.889950 : Epoch  8, Batch    587, Loss  0.870365, Average Loss  0.867056, Time  0.265665
2021-09-16 13:14:54.738752 : Epoch  6, Batch    850, Loss  0.884493, Average Loss  0.869772, Time  0.238452
2021-09-16 13:14:55.883529 : Epoch  8, Batch    588, Loss  0.866274, Average Loss  0.866952, Time  0.265045
2021-09-16 13:14:57.339750 : Epoch  6, Batch    851, Loss  0.876533, Average Loss  0.869727, Time  0.239853
2021-09-16 13:14:58.880815 : Epoch  8, Batch    589, Loss  0.861686, Average Loss  0.866914, Time  0.263824
2021-09-16 13:14:59.958877 : Epoch  6, Batch    852, Loss  0.874311, Average Loss  0.869787, Time  0.238612
2021-09-16 13:15:01.829720 : Epoch  8, Batch    590, Loss  0.889410, Average Loss  0.866951, Time  0.264311
2021-09-16 13:15:02.570121 : Epoch  6, Batch    853, Loss  0.876230, Average Loss  0.869861, Time  0.238772
2021-09-16 13:15:04.792943 : Epoch  8, Batch    591, Loss  0.864953, Average Loss  0.866922, Time  0.263915
2021-09-16 13:15:05.172930 : Epoch  6, Batch    854, Loss  0.869259, Average Loss  0.869839, Time  0.239479
2021-09-16 13:15:07.752129 : Epoch  8, Batch    592, Loss  0.869179, Average Loss  0.866906, Time  0.263556
2021-09-16 13:15:07.761041 : Epoch  6, Batch    855, Loss  0.880678, Average Loss  0.869879, Time  0.238922
2021-09-16 13:15:10.402942 : Epoch  6, Batch    856, Loss  0.877133, Average Loss  0.869991, Time  0.238432
2021-09-16 13:15:10.700315 : Epoch  8, Batch    593, Loss  0.852337, Average Loss  0.866862, Time  0.263761
2021-09-16 13:15:13.005051 : Epoch  6, Batch    857, Loss  0.867988, Average Loss  0.869938, Time  0.238062
2021-09-16 13:15:13.661650 : Epoch  8, Batch    594, Loss  0.863804, Average Loss  0.866935, Time  0.264122
2021-09-16 13:15:15.605910 : Epoch  6, Batch    858, Loss  0.848122, Average Loss  0.869795, Time  0.238315
2021-09-16 13:15:16.619206 : Epoch  8, Batch    595, Loss  0.884403, Average Loss  0.867004, Time  0.264147
2021-09-16 13:15:18.209779 : Epoch  6, Batch    859, Loss  0.854015, Average Loss  0.869780, Time  0.238180
2021-09-16 13:15:19.579513 : Epoch  8, Batch    596, Loss  0.876607, Average Loss  0.867095, Time  0.263496
2021-09-16 13:15:20.812959 : Epoch  6, Batch    860, Loss  0.871268, Average Loss  0.869725, Time  0.238513
2021-09-16 13:15:22.542250 : Epoch  8, Batch    597, Loss  0.894332, Average Loss  0.867276, Time  0.265292
2021-09-16 13:15:23.424734 : Epoch  6, Batch    861, Loss  0.883693, Average Loss  0.869713, Time  0.238091
2021-09-16 13:15:25.504496 : Epoch  8, Batch    598, Loss  0.864213, Average Loss  0.867295, Time  0.265812
2021-09-16 13:15:26.021955 : Epoch  6, Batch    862, Loss  0.879987, Average Loss  0.869794, Time  0.238075
2021-09-16 13:15:28.476764 : Epoch  8, Batch    599, Loss  0.882188, Average Loss  0.867343, Time  0.263588
2021-09-16 13:15:28.617828 : Epoch  6, Batch    863, Loss  0.892813, Average Loss  0.869824, Time  0.238216
2021-09-16 13:15:31.214939 : Epoch  6, Batch    864, Loss  0.865128, Average Loss  0.869801, Time  0.238295
2021-09-16 13:15:31.443002 : Epoch  8, Batch    600, Loss  0.882471, Average Loss  0.867401, Time  0.264503
2021-09-16 13:15:33.814996 : Epoch  6, Batch    865, Loss  0.869198, Average Loss  0.869878, Time  0.238242
2021-09-16 13:15:34.398610 : Epoch  8, Batch    601, Loss  0.880910, Average Loss  0.867464, Time  0.276197
2021-09-16 13:15:36.409965 : Epoch  6, Batch    866, Loss  0.851310, Average Loss  0.869789, Time  0.238659
2021-09-16 13:15:37.357397 : Epoch  8, Batch    602, Loss  0.850668, Average Loss  0.867342, Time  0.265296
2021-09-16 13:15:39.009956 : Epoch  6, Batch    867, Loss  0.857259, Average Loss  0.869715, Time  0.237923
2021-09-16 13:15:40.312665 : Epoch  8, Batch    603, Loss  0.861799, Average Loss  0.867239, Time  0.262933
2021-09-16 13:15:41.606966 : Epoch  6, Batch    868, Loss  0.854619, Average Loss  0.869674, Time  0.239299
2021-09-16 13:15:43.271827 : Epoch  8, Batch    604, Loss  0.860157, Average Loss  0.867253, Time  0.265574
2021-09-16 13:15:44.210184 : Epoch  6, Batch    869, Loss  0.861182, Average Loss  0.869580, Time  0.239157
2021-09-16 13:15:46.269059 : Epoch  8, Batch    605, Loss  0.883847, Average Loss  0.867325, Time  0.264820
2021-09-16 13:15:46.809101 : Epoch  6, Batch    870, Loss  0.874017, Average Loss  0.869662, Time  0.238124
2021-09-16 13:15:49.252854 : Epoch  8, Batch    606, Loss  0.859304, Average Loss  0.867273, Time  0.265839
2021-09-16 13:15:49.410763 : Epoch  6, Batch    871, Loss  0.864960, Average Loss  0.869786, Time  0.239917
2021-09-16 13:15:51.998193 : Epoch  6, Batch    872, Loss  0.860479, Average Loss  0.869778, Time  0.238879
2021-09-16 13:15:52.258796 : Epoch  8, Batch    607, Loss  0.865605, Average Loss  0.867193, Time  0.265173
2021-09-16 13:15:54.595720 : Epoch  6, Batch    873, Loss  0.851867, Average Loss  0.869655, Time  0.238361
2021-09-16 13:15:55.212775 : Epoch  8, Batch    608, Loss  0.853405, Average Loss  0.867052, Time  0.263517
2021-09-16 13:15:57.195566 : Epoch  6, Batch    874, Loss  0.864141, Average Loss  0.869586, Time  0.238740
2021-09-16 13:15:59.792908 : Epoch  6, Batch    875, Loss  0.896004, Average Loss  0.869719, Time  0.238748
2021-09-16 13:16:02.392119 : Epoch  6, Batch    876, Loss  0.864039, Average Loss  0.869626, Time  0.239176
2021-09-16 13:16:04.987957 : Epoch  6, Batch    877, Loss  0.848891, Average Loss  0.869464, Time  0.238214
2021-09-16 13:16:07.587903 : Epoch  6, Batch    878, Loss  0.871923, Average Loss  0.869442, Time  0.238192
2021-09-16 13:16:10.199180 : Epoch  6, Batch    879, Loss  0.861571, Average Loss  0.869271, Time  0.238589
2021-09-16 13:16:12.799896 : Epoch  6, Batch    880, Loss  0.867249, Average Loss  0.869254, Time  0.238414
2021-09-16 13:16:15.404752 : Epoch  6, Batch    881, Loss  0.871970, Average Loss  0.869211, Time  0.238405
2021-09-16 13:16:18.005764 : Epoch  6, Batch    882, Loss  0.887790, Average Loss  0.869310, Time  0.238507
2021-09-16 13:16:20.604896 : Epoch  6, Batch    883, Loss  0.889293, Average Loss  0.869388, Time  0.238264
2021-09-16 13:16:23.211190 : Epoch  6, Batch    884, Loss  0.892782, Average Loss  0.869379, Time  0.238375
2021-09-16 13:16:25.809707 : Epoch  6, Batch    885, Loss  0.876499, Average Loss  0.869395, Time  0.238162
2021-09-16 13:16:28.410339 : Epoch  6, Batch    886, Loss  0.865729, Average Loss  0.869358, Time  0.238449
2021-09-16 13:16:31.008985 : Epoch  6, Batch    887, Loss  0.870532, Average Loss  0.869260, Time  0.238129
2021-09-16 13:16:33.604043 : Epoch  6, Batch    888, Loss  0.857901, Average Loss  0.869172, Time  0.238254
2021-09-16 13:16:36.209939 : Epoch  6, Batch    889, Loss  0.864558, Average Loss  0.869134, Time  0.238430
2021-09-16 13:16:38.811919 : Epoch  6, Batch    890, Loss  0.875642, Average Loss  0.869137, Time  0.238584
2021-09-16 13:16:41.424700 : Epoch  6, Batch    891, Loss  0.855544, Average Loss  0.869119, Time  0.238584
2021-09-16 13:16:44.026905 : Epoch  6, Batch    892, Loss  0.887071, Average Loss  0.869171, Time  0.239575
2021-09-16 13:16:46.628720 : Epoch  6, Batch    893, Loss  0.862062, Average Loss  0.869197, Time  0.238371
2021-09-16 13:16:49.231244 : Epoch  6, Batch    894, Loss  0.859002, Average Loss  0.869054, Time  0.239155
2021-09-16 13:16:51.833012 : Epoch  6, Batch    895, Loss  0.849713, Average Loss  0.868957, Time  0.238930
2021-09-16 13:16:54.444066 : Epoch  6, Batch    896, Loss  0.870880, Average Loss  0.868965, Time  0.238464
2021-09-16 13:16:57.041207 : Epoch  6, Batch    897, Loss  0.865264, Average Loss  0.868910, Time  0.238177
2021-09-16 13:16:59.647183 : Epoch  6, Batch    898, Loss  0.887049, Average Loss  0.869016, Time  0.238358
2021-09-16 13:17:02.260701 : Epoch  6, Batch    899, Loss  0.860549, Average Loss  0.868971, Time  0.238836
2021-09-16 13:17:04.870168 : Epoch  6, Batch    900, Loss  0.861541, Average Loss  0.868969, Time  0.238185
2021-09-16 13:17:07.461713 : Epoch  6, Batch    901, Loss  0.866112, Average Loss  0.869073, Time  0.238005
2021-09-16 13:17:10.068741 : Epoch  6, Batch    902, Loss  0.848223, Average Loss  0.868909, Time  0.238846
2021-09-16 13:17:12.668965 : Epoch  6, Batch    903, Loss  0.878354, Average Loss  0.868986, Time  0.238175
2021-09-16 13:17:15.271716 : Epoch  6, Batch    904, Loss  0.863190, Average Loss  0.868971, Time  0.238812
2021-09-16 13:17:17.887960 : Epoch  6, Batch    905, Loss  0.882897, Average Loss  0.868916, Time  0.238113
2021-09-16 13:17:20.488748 : Epoch  6, Batch    906, Loss  0.871238, Average Loss  0.868936, Time  0.238728
2021-09-16 13:17:23.109157 : Epoch  6, Batch    907, Loss  0.870163, Average Loss  0.869018, Time  0.238164
2021-09-16 13:17:25.724718 : Epoch  6, Batch    908, Loss  0.877429, Average Loss  0.869117, Time  0.238833
2021-09-16 13:17:28.324994 : Epoch  6, Batch    909, Loss  0.866911, Average Loss  0.869057, Time  0.238278
2021-09-16 13:17:30.920945 : Epoch  6, Batch    910, Loss  0.851692, Average Loss  0.868955, Time  0.238204
2021-09-16 13:17:33.530218 : Epoch  6, Batch    911, Loss  0.886236, Average Loss  0.869108, Time  0.238093
2021-09-16 13:17:36.139697 : Epoch  6, Batch    912, Loss  0.868884, Average Loss  0.869024, Time  0.238519
2021-09-16 13:17:38.739903 : Epoch  6, Batch    913, Loss  0.865436, Average Loss  0.868986, Time  0.238408
2021-09-16 13:17:41.342967 : Epoch  6, Batch    914, Loss  0.873845, Average Loss  0.869024, Time  0.238585
2021-09-16 13:17:43.944976 : Epoch  6, Batch    915, Loss  0.875735, Average Loss  0.869111, Time  0.239421
2021-09-16 13:17:46.544965 : Epoch  6, Batch    916, Loss  0.866873, Average Loss  0.869137, Time  0.238641
2021-09-16 13:17:49.143785 : Epoch  6, Batch    917, Loss  0.896706, Average Loss  0.869254, Time  0.239306
2021-09-16 13:17:51.737176 : Epoch  6, Batch    918, Loss  0.867576, Average Loss  0.869142, Time  0.238564
2021-09-16 13:17:54.335930 : Epoch  6, Batch    919, Loss  0.873505, Average Loss  0.869164, Time  0.238692
2021-09-16 13:17:56.933957 : Epoch  6, Batch    920, Loss  0.868591, Average Loss  0.869212, Time  0.238611
2021-09-16 13:20:30.870068 : CheckPoint: Validation Loss  0.00030339, Best Loss  0.00029295
2021-09-16 13:20:33.821626 : Epoch  8, Batch    609, Loss  0.871906, Average Loss  0.867167, Time  0.265928
2021-09-16 13:20:36.752071 : Epoch  8, Batch    610, Loss  0.881008, Average Loss  0.867306, Time  0.264831
2021-09-16 13:20:39.703637 : Epoch  8, Batch    611, Loss  0.849350, Average Loss  0.867107, Time  0.263814
2021-09-16 13:20:42.656798 : Epoch  8, Batch    612, Loss  0.882977, Average Loss  0.867291, Time  0.264091
2021-09-16 13:20:45.645437 : Epoch  8, Batch    613, Loss  0.873482, Average Loss  0.867281, Time  0.264697
2021-09-16 13:20:48.643498 : Epoch  8, Batch    614, Loss  0.855143, Average Loss  0.867195, Time  0.264935
2021-09-16 13:20:51.624887 : Epoch  8, Batch    615, Loss  0.861147, Average Loss  0.867140, Time  0.264805
2021-09-16 13:20:54.602872 : Epoch  8, Batch    616, Loss  0.882978, Average Loss  0.867257, Time  0.262970
2021-09-16 13:20:57.527259 : Epoch  8, Batch    617, Loss  0.862622, Average Loss  0.867369, Time  0.264465
2021-09-16 13:21:00.477676 : Epoch  8, Batch    618, Loss  0.878063, Average Loss  0.867421, Time  0.264452
2021-09-16 13:21:03.441426 : Epoch  8, Batch    619, Loss  0.859445, Average Loss  0.867456, Time  0.275445
2021-09-16 13:21:06.394850 : Epoch  8, Batch    620, Loss  0.866525, Average Loss  0.867446, Time  0.264741
2021-09-16 13:21:09.356082 : Epoch  8, Batch    621, Loss  0.869360, Average Loss  0.867427, Time  0.265746
2021-09-16 13:21:12.314302 : Epoch  8, Batch    622, Loss  0.842731, Average Loss  0.867289, Time  0.264058
2021-09-16 13:21:15.274740 : Epoch  8, Batch    623, Loss  0.878822, Average Loss  0.867367, Time  0.265143
2021-09-16 13:21:18.205803 : Epoch  8, Batch    624, Loss  0.860287, Average Loss  0.867371, Time  0.264202
2021-09-16 13:21:21.145023 : Epoch  8, Batch    625, Loss  0.868457, Average Loss  0.867350, Time  0.263433
2021-09-16 13:21:24.104111 : Epoch  8, Batch    626, Loss  0.858015, Average Loss  0.867280, Time  0.263768
2021-09-16 13:21:27.105542 : Epoch  8, Batch    627, Loss  0.861127, Average Loss  0.867235, Time  0.265318
2021-09-16 13:21:30.059523 : Epoch  8, Batch    628, Loss  0.861120, Average Loss  0.867272, Time  0.264515
2021-09-16 13:21:33.024169 : Epoch  8, Batch    629, Loss  0.894090, Average Loss  0.867345, Time  0.264696
2021-09-16 13:21:36.010223 : Epoch  8, Batch    630, Loss  0.878223, Average Loss  0.867520, Time  0.264472
2021-09-16 13:21:38.990372 : Epoch  8, Batch    631, Loss  0.855667, Average Loss  0.867484, Time  0.264797
2021-09-16 13:21:41.974157 : Epoch  8, Batch    632, Loss  0.864275, Average Loss  0.867520, Time  0.265368
2021-09-16 13:21:44.938944 : Epoch  8, Batch    633, Loss  0.867182, Average Loss  0.867573, Time  0.265783
2021-09-16 13:21:47.896371 : Epoch  8, Batch    634, Loss  0.877495, Average Loss  0.867666, Time  0.264281
2021-09-16 13:21:50.895472 : Epoch  8, Batch    635, Loss  0.874559, Average Loss  0.867712, Time  0.278706
2021-09-16 13:21:53.836808 : Epoch  8, Batch    636, Loss  0.874336, Average Loss  0.867734, Time  0.265999
2021-09-16 13:21:56.826478 : Epoch  8, Batch    637, Loss  0.858492, Average Loss  0.867702, Time  0.264821
2021-09-16 13:21:58.981688 : CheckPoint: Validation Loss  0.00030586, Best Loss  0.00029207
2021-09-16 13:21:59.801471 : Epoch  8, Batch    638, Loss  0.884895, Average Loss  0.867874, Time  0.264868
2021-09-16 13:22:01.549908 : Epoch  6, Batch    921, Loss  0.853976, Average Loss  0.869132, Time  0.239530
2021-09-16 13:22:02.777440 : Epoch  8, Batch    639, Loss  0.870525, Average Loss  0.867863, Time  0.264133
2021-09-16 13:22:04.133937 : Epoch  6, Batch    922, Loss  0.879269, Average Loss  0.869203, Time  0.238417
2021-09-16 13:22:05.737908 : Epoch  8, Batch    640, Loss  0.856776, Average Loss  0.867798, Time  0.264967
2021-09-16 13:22:06.720691 : Epoch  6, Batch    923, Loss  0.864872, Average Loss  0.869111, Time  0.238264
2021-09-16 13:22:08.685379 : Epoch  8, Batch    641, Loss  0.862980, Average Loss  0.867755, Time  0.264554
2021-09-16 13:22:09.300905 : Epoch  6, Batch    924, Loss  0.854971, Average Loss  0.869007, Time  0.238311
2021-09-16 13:22:11.644548 : Epoch  8, Batch    642, Loss  0.864050, Average Loss  0.867806, Time  0.264215
2021-09-16 13:22:11.890708 : Epoch  6, Batch    925, Loss  0.846155, Average Loss  0.868868, Time  0.238228
2021-09-16 13:22:14.460590 : Epoch  6, Batch    926, Loss  0.882821, Average Loss  0.868881, Time  0.238198
2021-09-16 13:22:14.601347 : Epoch  8, Batch    643, Loss  0.897473, Average Loss  0.867910, Time  0.263896
2021-09-16 13:22:17.045716 : Epoch  6, Batch    927, Loss  0.877426, Average Loss  0.868939, Time  0.238670
2021-09-16 13:22:17.559401 : Epoch  8, Batch    644, Loss  0.872325, Average Loss  0.867910, Time  0.264753
2021-09-16 13:22:19.634936 : Epoch  6, Batch    928, Loss  0.868433, Average Loss  0.868930, Time  0.238415
2021-09-16 13:22:20.502043 : Epoch  8, Batch    645, Loss  0.846321, Average Loss  0.867663, Time  0.265456
2021-09-16 13:22:22.224947 : Epoch  6, Batch    929, Loss  0.879423, Average Loss  0.868935, Time  0.238876
2021-09-16 13:22:23.452796 : Epoch  8, Batch    646, Loss  0.861369, Average Loss  0.867666, Time  0.264060
2021-09-16 13:22:24.817072 : Epoch  6, Batch    930, Loss  0.869050, Average Loss  0.868821, Time  0.238967
2021-09-16 13:22:26.436028 : Epoch  8, Batch    647, Loss  0.844589, Average Loss  0.867524, Time  0.264081
2021-09-16 13:22:27.402012 : Epoch  6, Batch    931, Loss  0.874743, Average Loss  0.868833, Time  0.238901
2021-09-16 13:22:29.388679 : Epoch  8, Batch    648, Loss  0.868971, Average Loss  0.867491, Time  0.264144
2021-09-16 13:22:29.977967 : Epoch  6, Batch    932, Loss  0.879970, Average Loss  0.868916, Time  0.238617
2021-09-16 13:22:32.380492 : Epoch  8, Batch    649, Loss  0.874429, Average Loss  0.867550, Time  0.263693
2021-09-16 13:22:32.561955 : Epoch  6, Batch    933, Loss  0.865068, Average Loss  0.868857, Time  0.238333
2021-09-16 13:22:35.133905 : Epoch  6, Batch    934, Loss  0.864433, Average Loss  0.868793, Time  0.238339
2021-09-16 13:22:35.380288 : Epoch  8, Batch    650, Loss  0.889235, Average Loss  0.867688, Time  0.277076
2021-09-16 13:22:37.733822 : Epoch  6, Batch    935, Loss  0.879052, Average Loss  0.868876, Time  0.238614
2021-09-16 13:22:38.325821 : Epoch  8, Batch    651, Loss  0.864801, Average Loss  0.867656, Time  0.264957
2021-09-16 13:22:40.320916 : Epoch  6, Batch    936, Loss  0.893559, Average Loss  0.869043, Time  0.238760
2021-09-16 13:22:41.295677 : Epoch  8, Batch    652, Loss  0.843876, Average Loss  0.867578, Time  0.265564
2021-09-16 13:22:42.912803 : Epoch  6, Batch    937, Loss  0.888105, Average Loss  0.869192, Time  0.238362
2021-09-16 13:22:44.291867 : Epoch  8, Batch    653, Loss  0.861665, Average Loss  0.867418, Time  0.264188
2021-09-16 13:22:45.491915 : Epoch  6, Batch    938, Loss  0.867226, Average Loss  0.869091, Time  0.238068
2021-09-16 13:22:47.237932 : Epoch  8, Batch    654, Loss  0.859032, Average Loss  0.867389, Time  0.263967
2021-09-16 13:22:48.143839 : Epoch  6, Batch    939, Loss  0.893032, Average Loss  0.869129, Time  0.238609
2021-09-16 13:22:50.205664 : Epoch  8, Batch    655, Loss  0.886990, Average Loss  0.867525, Time  0.265514
2021-09-16 13:22:50.733172 : Epoch  6, Batch    940, Loss  0.869510, Average Loss  0.869124, Time  0.238129
2021-09-16 13:22:53.184564 : Epoch  8, Batch    656, Loss  0.884490, Average Loss  0.867579, Time  0.264654
2021-09-16 13:22:53.317081 : Epoch  6, Batch    941, Loss  0.868777, Average Loss  0.869158, Time  0.238732
2021-09-16 13:22:55.887929 : Epoch  6, Batch    942, Loss  0.872555, Average Loss  0.869095, Time  0.238269
2021-09-16 13:22:56.176714 : Epoch  8, Batch    657, Loss  0.877416, Average Loss  0.867529, Time  0.265131
2021-09-16 13:22:58.469931 : Epoch  6, Batch    943, Loss  0.864153, Average Loss  0.869214, Time  0.238127
2021-09-16 13:22:59.135745 : Epoch  8, Batch    658, Loss  0.863852, Average Loss  0.867570, Time  0.264264
2021-09-16 13:23:01.078039 : Epoch  6, Batch    944, Loss  0.880537, Average Loss  0.869336, Time  0.238505
2021-09-16 13:23:02.111385 : Epoch  8, Batch    659, Loss  0.869102, Average Loss  0.867620, Time  0.264655
2021-09-16 13:23:03.658164 : Epoch  6, Batch    945, Loss  0.858757, Average Loss  0.869236, Time  0.237955
2021-09-16 13:23:05.073500 : Epoch  8, Batch    660, Loss  0.875265, Average Loss  0.867652, Time  0.264170
2021-09-16 13:23:06.260973 : Epoch  6, Batch    946, Loss  0.886195, Average Loss  0.869258, Time  0.238452
2021-09-16 13:23:08.027315 : Epoch  8, Batch    661, Loss  0.880412, Average Loss  0.867741, Time  0.264398
2021-09-16 13:23:08.849000 : Epoch  6, Batch    947, Loss  0.878141, Average Loss  0.869420, Time  0.238011
2021-09-16 13:23:10.988567 : Epoch  8, Batch    662, Loss  0.857273, Average Loss  0.867682, Time  0.263587
2021-09-16 13:23:11.428726 : Epoch  6, Batch    948, Loss  0.860646, Average Loss  0.869291, Time  0.238159
2021-09-16 13:23:13.958292 : Epoch  8, Batch    663, Loss  0.888892, Average Loss  0.867852, Time  0.264471
2021-09-16 13:23:14.008964 : Epoch  6, Batch    949, Loss  0.867339, Average Loss  0.869302, Time  0.238712
2021-09-16 13:23:16.597923 : Epoch  6, Batch    950, Loss  0.856929, Average Loss  0.869219, Time  0.238534
2021-09-16 13:23:16.938446 : Epoch  8, Batch    664, Loss  0.874422, Average Loss  0.867946, Time  0.264002
2021-09-16 13:23:19.180785 : Epoch  6, Batch    951, Loss  0.858687, Average Loss  0.869084, Time  0.238128
2021-09-16 13:23:19.883816 : Epoch  8, Batch    665, Loss  0.868271, Average Loss  0.868038, Time  0.264173
2021-09-16 13:23:21.795183 : Epoch  6, Batch    952, Loss  0.872922, Average Loss  0.869110, Time  0.238357
2021-09-16 13:23:22.861967 : Epoch  8, Batch    666, Loss  0.854865, Average Loss  0.867928, Time  0.276504
2021-09-16 13:23:24.379970 : Epoch  6, Batch    953, Loss  0.864658, Average Loss  0.869014, Time  0.238885
2021-09-16 13:23:25.824506 : Epoch  8, Batch    667, Loss  0.876195, Average Loss  0.867902, Time  0.265160
2021-09-16 13:23:26.964927 : Epoch  6, Batch    954, Loss  0.873959, Average Loss  0.869072, Time  0.238486
2021-09-16 13:23:28.813399 : Epoch  8, Batch    668, Loss  0.871040, Average Loss  0.867996, Time  0.264826
2021-09-16 13:23:29.556254 : Epoch  6, Batch    955, Loss  0.862372, Average Loss  0.869077, Time  0.239323
2021-09-16 13:23:31.780259 : Epoch  8, Batch    669, Loss  0.868122, Average Loss  0.868064, Time  0.264807
2021-09-16 13:23:32.140971 : Epoch  6, Batch    956, Loss  0.866373, Average Loss  0.869036, Time  0.238472
2021-09-16 13:23:34.721085 : Epoch  6, Batch    957, Loss  0.862453, Average Loss  0.869071, Time  0.238800
2021-09-16 13:23:34.726168 : Epoch  8, Batch    670, Loss  0.857783, Average Loss  0.868148, Time  0.263951
2021-09-16 13:23:37.312975 : Epoch  6, Batch    958, Loss  0.893446, Average Loss  0.869244, Time  0.238868
2021-09-16 13:23:37.718082 : Epoch  8, Batch    671, Loss  0.842287, Average Loss  0.867978, Time  0.264851
2021-09-16 13:23:39.895940 : Epoch  6, Batch    959, Loss  0.862195, Average Loss  0.869262, Time  0.238211
2021-09-16 13:23:40.700758 : Epoch  8, Batch    672, Loss  0.869455, Average Loss  0.868065, Time  0.264613
2021-09-16 13:23:42.491748 : Epoch  6, Batch    960, Loss  0.892268, Average Loss  0.869285, Time  0.238505
2021-09-16 13:23:43.665187 : Epoch  8, Batch    673, Loss  0.883630, Average Loss  0.868246, Time  0.263970
2021-09-16 13:23:45.079846 : Epoch  6, Batch    961, Loss  0.878298, Average Loss  0.869452, Time  0.238343
2021-09-16 13:23:46.618281 : Epoch  8, Batch    674, Loss  0.865597, Average Loss  0.868140, Time  0.263547
2021-09-16 13:23:47.668949 : Epoch  6, Batch    962, Loss  0.869762, Average Loss  0.869368, Time  0.238748
2021-09-16 13:23:49.571780 : Epoch  8, Batch    675, Loss  0.867760, Average Loss  0.868199, Time  0.264716
2021-09-16 13:23:50.254959 : Epoch  6, Batch    963, Loss  0.876270, Average Loss  0.869437, Time  0.238556
2021-09-16 13:23:52.528403 : Epoch  8, Batch    676, Loss  0.880682, Average Loss  0.868207, Time  0.264618
2021-09-16 13:23:52.836990 : Epoch  6, Batch    964, Loss  0.878265, Average Loss  0.869427, Time  0.238133
2021-09-16 13:23:55.443864 : Epoch  6, Batch    965, Loss  0.870495, Average Loss  0.869562, Time  0.238553
2021-09-16 13:23:55.519071 : Epoch  8, Batch    677, Loss  0.892920, Average Loss  0.868343, Time  0.264722
2021-09-16 13:23:58.028954 : Epoch  6, Batch    966, Loss  0.874188, Average Loss  0.869564, Time  0.238236
2021-09-16 13:23:58.476232 : Epoch  8, Batch    678, Loss  0.863461, Average Loss  0.868440, Time  0.264427
2021-09-16 13:24:00.608958 : Epoch  6, Batch    967, Loss  0.851595, Average Loss  0.869556, Time  0.238713
2021-09-16 13:24:01.417791 : Epoch  8, Batch    679, Loss  0.879776, Average Loss  0.868591, Time  0.263661
2021-09-16 13:24:03.188642 : Epoch  6, Batch    968, Loss  0.894824, Average Loss  0.869610, Time  0.238314
2021-09-16 13:24:04.369368 : Epoch  8, Batch    680, Loss  0.866943, Average Loss  0.868536, Time  0.264657
2021-09-16 13:24:05.780977 : Epoch  6, Batch    969, Loss  0.855824, Average Loss  0.869470, Time  0.238464
2021-09-16 13:24:07.370387 : Epoch  8, Batch    681, Loss  0.869763, Average Loss  0.868613, Time  0.274767
2021-09-16 13:24:08.366229 : Epoch  6, Batch    970, Loss  0.877587, Average Loss  0.869632, Time  0.238535
2021-09-16 13:24:10.326206 : Epoch  8, Batch    682, Loss  0.883326, Average Loss  0.868739, Time  0.264201
2021-09-16 13:24:10.956904 : Epoch  6, Batch    971, Loss  0.868344, Average Loss  0.869534, Time  0.238357
2021-09-16 13:24:13.281937 : Epoch  8, Batch    683, Loss  0.895532, Average Loss  0.868880, Time  0.263989
2021-09-16 13:24:13.548920 : Epoch  6, Batch    972, Loss  0.862673, Average Loss  0.869525, Time  0.238246
2021-09-16 13:24:16.128737 : Epoch  6, Batch    973, Loss  0.864774, Average Loss  0.869544, Time  0.238420
2021-09-16 13:24:16.237944 : Epoch  8, Batch    684, Loss  0.900432, Average Loss  0.868970, Time  0.264127
2021-09-16 13:24:18.715054 : Epoch  6, Batch    974, Loss  0.872720, Average Loss  0.869611, Time  0.238544
2021-09-16 13:24:19.180633 : Epoch  8, Batch    685, Loss  0.872131, Average Loss  0.869016, Time  0.264965
2021-09-16 13:24:21.313788 : Epoch  6, Batch    975, Loss  0.873870, Average Loss  0.869716, Time  0.238406
2021-09-16 13:24:22.159068 : Epoch  8, Batch    686, Loss  0.886959, Average Loss  0.869039, Time  0.263711
2021-09-16 13:24:23.902914 : Epoch  6, Batch    976, Loss  0.868520, Average Loss  0.869783, Time  0.239496
2021-09-16 13:24:25.118053 : Epoch  8, Batch    687, Loss  0.873013, Average Loss  0.868978, Time  0.263633
2021-09-16 13:24:26.495286 : Epoch  6, Batch    977, Loss  0.853189, Average Loss  0.869713, Time  0.238101
2021-09-16 13:24:28.094860 : Epoch  8, Batch    688, Loss  0.863604, Average Loss  0.868922, Time  0.263942
2021-09-16 13:24:29.081306 : Epoch  6, Batch    978, Loss  0.868798, Average Loss  0.869695, Time  0.239209
2021-09-16 13:24:31.058863 : Epoch  8, Batch    689, Loss  0.884976, Average Loss  0.869033, Time  0.264682
2021-09-16 13:24:31.694192 : Epoch  6, Batch    979, Loss  0.864497, Average Loss  0.869652, Time  0.238636
2021-09-16 13:24:34.021799 : Epoch  8, Batch    690, Loss  0.859262, Average Loss  0.868980, Time  0.264169
2021-09-16 13:24:34.281757 : Epoch  6, Batch    980, Loss  0.860779, Average Loss  0.869591, Time  0.238334
2021-09-16 13:24:36.860885 : Epoch  6, Batch    981, Loss  0.866378, Average Loss  0.869637, Time  0.239503
2021-09-16 13:24:36.989905 : Epoch  8, Batch    691, Loss  0.876992, Average Loss  0.868981, Time  0.265099
2021-09-16 13:24:39.455084 : Epoch  6, Batch    982, Loss  0.857010, Average Loss  0.869570, Time  0.238584
2021-09-16 13:24:39.958522 : Epoch  8, Batch    692, Loss  0.866611, Average Loss  0.868995, Time  0.264950
2021-09-16 13:24:42.043891 : Epoch  6, Batch    983, Loss  0.862338, Average Loss  0.869488, Time  0.238675
2021-09-16 13:24:42.941669 : Epoch  8, Batch    693, Loss  0.859807, Average Loss  0.868932, Time  0.264301
2021-09-16 13:24:44.628439 : Epoch  6, Batch    984, Loss  0.836659, Average Loss  0.869377, Time  0.238862
2021-09-16 13:24:45.932955 : Epoch  8, Batch    694, Loss  0.854993, Average Loss  0.868887, Time  0.264808
2021-09-16 13:24:47.226048 : Epoch  6, Batch    985, Loss  0.869915, Average Loss  0.869368, Time  0.238102
2021-09-16 13:24:48.897779 : Epoch  8, Batch    695, Loss  0.875207, Average Loss  0.868871, Time  0.264164
2021-09-16 13:24:49.813866 : Epoch  6, Batch    986, Loss  0.866983, Average Loss  0.869253, Time  0.238318
2021-09-16 13:24:51.892785 : Epoch  8, Batch    696, Loss  0.859798, Average Loss  0.868809, Time  0.264626
2021-09-16 13:24:52.408140 : Epoch  6, Batch    987, Loss  0.878390, Average Loss  0.869326, Time  0.238457
2021-09-16 13:24:54.867660 : Epoch  8, Batch    697, Loss  0.847232, Average Loss  0.868748, Time  0.271807
2021-09-16 13:24:54.991887 : Epoch  6, Batch    988, Loss  0.872975, Average Loss  0.869366, Time  0.238534
2021-09-16 13:24:57.569749 : Epoch  6, Batch    989, Loss  0.869272, Average Loss  0.869297, Time  0.238357
2021-09-16 13:24:57.816731 : Epoch  8, Batch    698, Loss  0.851646, Average Loss  0.868755, Time  0.264683
2021-09-16 13:25:00.158229 : Epoch  6, Batch    990, Loss  0.871242, Average Loss  0.869361, Time  0.238430
2021-09-16 13:25:00.743676 : Epoch  8, Batch    699, Loss  0.874961, Average Loss  0.868814, Time  0.262593
2021-09-16 13:25:02.767743 : Epoch  6, Batch    991, Loss  0.892537, Average Loss  0.869469, Time  0.238379
2021-09-16 13:25:03.632216 : Epoch  8, Batch    700, Loss  0.898109, Average Loss  0.869016, Time  0.264965
2021-09-16 13:25:05.361104 : Epoch  6, Batch    992, Loss  0.851435, Average Loss  0.869294, Time  0.238424
2021-09-16 13:25:06.614251 : Epoch  8, Batch    701, Loss  0.865776, Average Loss  0.868982, Time  0.265587
2021-09-16 13:25:07.949724 : Epoch  6, Batch    993, Loss  0.881643, Average Loss  0.869325, Time  0.238201
2021-09-16 13:25:09.575971 : Epoch  8, Batch    702, Loss  0.892923, Average Loss  0.869098, Time  0.264307
2021-09-16 13:25:10.531989 : Epoch  6, Batch    994, Loss  0.870440, Average Loss  0.869390, Time  0.238163
2021-09-16 13:25:12.537256 : Epoch  8, Batch    703, Loss  0.879773, Average Loss  0.869191, Time  0.263416
2021-09-16 13:25:13.122717 : Epoch  6, Batch    995, Loss  0.888009, Average Loss  0.869637, Time  0.238343
2021-09-16 13:25:15.486342 : Epoch  8, Batch    704, Loss  0.865066, Average Loss  0.869102, Time  0.263933
2021-09-16 13:25:15.716793 : Epoch  6, Batch    996, Loss  0.866134, Average Loss  0.869744, Time  0.238208
2021-09-16 13:25:18.286955 : Epoch  6, Batch    997, Loss  0.870552, Average Loss  0.869781, Time  0.238880
2021-09-16 13:25:18.483148 : Epoch  8, Batch    705, Loss  0.860454, Average Loss  0.868981, Time  0.265135
2021-09-16 13:25:20.873776 : Epoch  6, Batch    998, Loss  0.882357, Average Loss  0.869813, Time  0.238392
2021-09-16 13:25:21.437995 : Epoch  8, Batch    706, Loss  0.856806, Average Loss  0.868917, Time  0.265501
2021-09-16 13:25:23.469893 : Epoch  6, Batch    999, Loss  0.896624, Average Loss  0.869977, Time  0.239246
2021-09-16 13:25:24.394788 : Epoch  8, Batch    707, Loss  0.863719, Average Loss  0.868835, Time  0.264090
2021-09-16 13:25:26.065712 : Epoch  6, Batch   1000, Loss  0.848827, Average Loss  0.869850, Time  0.238537
2021-09-16 13:25:27.359991 : Epoch  8, Batch    708, Loss  0.872527, Average Loss  0.868780, Time  0.264073
2021-09-16 13:25:28.658822 : Epoch  6, Batch   1001, Loss  0.871317, Average Loss  0.869852, Time  0.239154
2021-09-16 13:25:31.241768 : Epoch  6, Batch   1002, Loss  0.867418, Average Loss  0.869775, Time  0.239128
2021-09-16 13:25:33.824730 : Epoch  6, Batch   1003, Loss  0.854141, Average Loss  0.869613, Time  0.238554
2021-09-16 13:25:36.408072 : Epoch  6, Batch   1004, Loss  0.876026, Average Loss  0.869606, Time  0.239235
2021-09-16 13:25:39.000728 : Epoch  6, Batch   1005, Loss  0.877637, Average Loss  0.869644, Time  0.238845
2021-09-16 13:25:41.589947 : Epoch  6, Batch   1006, Loss  0.863749, Average Loss  0.869631, Time  0.238191
2021-09-16 13:25:44.178494 : Epoch  6, Batch   1007, Loss  0.870821, Average Loss  0.869621, Time  0.238779
2021-09-16 13:25:46.765982 : Epoch  6, Batch   1008, Loss  0.867567, Average Loss  0.869590, Time  0.238225
2021-09-16 13:25:49.367066 : Epoch  6, Batch   1009, Loss  0.848905, Average Loss  0.869374, Time  0.239376
2021-09-16 13:25:51.952988 : Epoch  6, Batch   1010, Loss  0.874621, Average Loss  0.869443, Time  0.238486
2021-09-16 13:25:54.534952 : Epoch  6, Batch   1011, Loss  0.853697, Average Loss  0.869464, Time  0.238418
2021-09-16 13:25:57.130965 : Epoch  6, Batch   1012, Loss  0.876725, Average Loss  0.869473, Time  0.238351
2021-09-16 13:25:59.712715 : Epoch  6, Batch   1013, Loss  0.858260, Average Loss  0.869434, Time  0.238834
2021-09-16 13:26:02.297185 : Epoch  6, Batch   1014, Loss  0.859349, Average Loss  0.869397, Time  0.238140
2021-09-16 13:26:04.883706 : Epoch  6, Batch   1015, Loss  0.871143, Average Loss  0.869289, Time  0.238296
2021-09-16 13:26:07.461732 : Epoch  6, Batch   1016, Loss  0.880015, Average Loss  0.869336, Time  0.238710
2021-09-16 13:26:10.046887 : Epoch  6, Batch   1017, Loss  0.884663, Average Loss  0.869437, Time  0.238263
2021-09-16 13:26:12.628705 : Epoch  6, Batch   1018, Loss  0.878784, Average Loss  0.869339, Time  0.238026
2021-09-16 13:26:15.223953 : Epoch  6, Batch   1019, Loss  0.856556, Average Loss  0.869268, Time  0.238876
2021-09-16 13:26:17.812941 : Epoch  6, Batch   1020, Loss  0.885766, Average Loss  0.869403, Time  0.238328
2021-09-16 13:30:02.402517 : CheckPoint: Validation Loss  0.00030435, Best Loss  0.00029295
2021-09-16 13:30:05.370935 : Epoch  8, Batch    709, Loss  0.843613, Average Loss  0.868726, Time  0.263981
2021-09-16 13:30:08.345566 : Epoch  8, Batch    710, Loss  0.873654, Average Loss  0.868786, Time  0.263470
2021-09-16 13:30:11.327399 : Epoch  8, Batch    711, Loss  0.874489, Average Loss  0.868871, Time  0.264177
2021-09-16 13:30:14.308474 : Epoch  8, Batch    712, Loss  0.884599, Average Loss  0.869002, Time  0.264098
2021-09-16 13:30:17.309149 : Epoch  8, Batch    713, Loss  0.890912, Average Loss  0.869115, Time  0.263912
2021-09-16 13:30:19.706691 : CheckPoint: Validation Loss  0.00030125, Best Loss  0.00029207
2021-09-16 13:30:20.280445 : Epoch  8, Batch    714, Loss  0.884429, Average Loss  0.869167, Time  0.264254
2021-09-16 13:30:22.301711 : Epoch  6, Batch   1021, Loss  0.879535, Average Loss  0.869434, Time  0.239707
2021-09-16 13:30:23.277508 : Epoch  8, Batch    715, Loss  0.839986, Average Loss  0.868990, Time  0.264741
2021-09-16 13:30:24.913870 : Epoch  6, Batch   1022, Loss  0.869548, Average Loss  0.869383, Time  0.238126
2021-09-16 13:30:26.270610 : Epoch  8, Batch    716, Loss  0.887071, Average Loss  0.868900, Time  0.264844
2021-09-16 13:30:27.521916 : Epoch  6, Batch   1023, Loss  0.876680, Average Loss  0.869461, Time  0.238117
2021-09-16 13:30:29.271348 : Epoch  8, Batch    717, Loss  0.869873, Average Loss  0.868937, Time  0.272688
2021-09-16 13:30:30.136993 : Epoch  6, Batch   1024, Loss  0.891010, Average Loss  0.869522, Time  0.238922
2021-09-16 13:30:32.240964 : Epoch  8, Batch    718, Loss  0.842720, Average Loss  0.868919, Time  0.264885
2021-09-16 13:30:32.747744 : Epoch  6, Batch   1025, Loss  0.867101, Average Loss  0.869526, Time  0.238209
2021-09-16 13:30:35.223764 : Epoch  8, Batch    719, Loss  0.864319, Average Loss  0.868869, Time  0.263983
2021-09-16 13:30:35.371768 : Epoch  6, Batch   1026, Loss  0.884085, Average Loss  0.869588, Time  0.238867
2021-09-16 13:30:37.979127 : Epoch  6, Batch   1027, Loss  0.861814, Average Loss  0.869646, Time  0.238007
2021-09-16 13:30:38.196162 : Epoch  8, Batch    720, Loss  0.865567, Average Loss  0.868891, Time  0.264180
2021-09-16 13:30:40.600260 : Epoch  6, Batch   1028, Loss  0.871265, Average Loss  0.869770, Time  0.238437
2021-09-16 13:30:41.184822 : Epoch  8, Batch    721, Loss  0.876752, Average Loss  0.868893, Time  0.265263
2021-09-16 13:30:43.215844 : Epoch  6, Batch   1029, Loss  0.869897, Average Loss  0.869751, Time  0.238414
2021-09-16 13:30:44.187516 : Epoch  8, Batch    722, Loss  0.848125, Average Loss  0.868810, Time  0.265276
2021-09-16 13:30:45.836018 : Epoch  6, Batch   1030, Loss  0.873084, Average Loss  0.869711, Time  0.238271
2021-09-16 13:30:47.191726 : Epoch  8, Batch    723, Loss  0.867832, Average Loss  0.868815, Time  0.265416
2021-09-16 13:30:48.466020 : Epoch  6, Batch   1031, Loss  0.879902, Average Loss  0.869832, Time  0.238577
2021-09-16 13:30:50.149455 : Epoch  8, Batch    724, Loss  0.863176, Average Loss  0.868740, Time  0.264055
2021-09-16 13:30:51.089949 : Epoch  6, Batch   1032, Loss  0.904333, Average Loss  0.870071, Time  0.238042
2021-09-16 13:30:53.126100 : Epoch  8, Batch    725, Loss  0.881197, Average Loss  0.868784, Time  0.264798
2021-09-16 13:30:53.707940 : Epoch  6, Batch   1033, Loss  0.847265, Average Loss  0.869937, Time  0.238256
2021-09-16 13:30:56.088325 : Epoch  8, Batch    726, Loss  0.873299, Average Loss  0.868825, Time  0.265198
2021-09-16 13:30:56.321139 : Epoch  6, Batch   1034, Loss  0.849615, Average Loss  0.869782, Time  0.238202
2021-09-16 13:30:58.927038 : Epoch  6, Batch   1035, Loss  0.862034, Average Loss  0.869893, Time  0.238600
2021-09-16 13:30:59.087135 : Epoch  8, Batch    727, Loss  0.853630, Average Loss  0.868816, Time  0.263974
2021-09-16 13:31:01.537024 : Epoch  6, Batch   1036, Loss  0.885200, Average Loss  0.869927, Time  0.239336
2021-09-16 13:31:02.060628 : Epoch  8, Batch    728, Loss  0.865129, Average Loss  0.868827, Time  0.264068
2021-09-16 13:31:04.146729 : Epoch  6, Batch   1037, Loss  0.873340, Average Loss  0.870002, Time  0.238875
2021-09-16 13:31:05.030402 : Epoch  8, Batch    729, Loss  0.867270, Average Loss  0.868826, Time  0.265304
2021-09-16 13:31:06.769154 : Epoch  6, Batch   1038, Loss  0.889525, Average Loss  0.870059, Time  0.239464
2021-09-16 13:31:08.022793 : Epoch  8, Batch    730, Loss  0.854472, Average Loss  0.868648, Time  0.264859
2021-09-16 13:31:09.378148 : Epoch  6, Batch   1039, Loss  0.880983, Average Loss  0.870057, Time  0.238199
2021-09-16 13:31:11.000975 : Epoch  8, Batch    731, Loss  0.873835, Average Loss  0.868628, Time  0.264287
2021-09-16 13:31:11.998068 : Epoch  6, Batch   1040, Loss  0.865257, Average Loss  0.870127, Time  0.238598
2021-09-16 13:31:13.966007 : Epoch  8, Batch    732, Loss  0.886401, Average Loss  0.868740, Time  0.264668
2021-09-16 13:31:14.620136 : Epoch  6, Batch   1041, Loss  0.846592, Average Loss  0.870069, Time  0.238729
2021-09-16 13:31:16.963209 : Epoch  8, Batch    733, Loss  0.862369, Average Loss  0.868689, Time  0.276708
2021-09-16 13:31:17.230831 : Epoch  6, Batch   1042, Loss  0.887821, Average Loss  0.870208, Time  0.238427
2021-09-16 13:31:19.833757 : Epoch  6, Batch   1043, Loss  0.856401, Average Loss  0.870085, Time  0.238895
2021-09-16 13:31:19.924818 : Epoch  8, Batch    734, Loss  0.865394, Average Loss  0.868635, Time  0.265889
2021-09-16 13:31:22.444830 : Epoch  6, Batch   1044, Loss  0.872038, Average Loss  0.870150, Time  0.238332
2021-09-16 13:31:22.926263 : Epoch  8, Batch    735, Loss  0.861750, Average Loss  0.868642, Time  0.266580
2021-09-16 13:31:25.059884 : Epoch  6, Batch   1045, Loss  0.866740, Average Loss  0.870139, Time  0.238444
2021-09-16 13:31:25.918564 : Epoch  8, Batch    736, Loss  0.880067, Average Loss  0.868688, Time  0.265450
2021-09-16 13:31:27.676726 : Epoch  6, Batch   1046, Loss  0.882241, Average Loss  0.870232, Time  0.238344
2021-09-16 13:31:28.911698 : Epoch  8, Batch    737, Loss  0.871521, Average Loss  0.868748, Time  0.262737
2021-09-16 13:31:30.291902 : Epoch  6, Batch   1047, Loss  0.856705, Average Loss  0.870182, Time  0.238157
2021-09-16 13:31:31.884788 : Epoch  8, Batch    738, Loss  0.875095, Average Loss  0.868749, Time  0.263725
2021-09-16 13:31:32.903090 : Epoch  6, Batch   1048, Loss  0.870191, Average Loss  0.870201, Time  0.238791
2021-09-16 13:31:34.861301 : Epoch  8, Batch    739, Loss  0.872101, Average Loss  0.868815, Time  0.265070
2021-09-16 13:31:35.515728 : Epoch  6, Batch   1049, Loss  0.877378, Average Loss  0.870328, Time  0.238500
2021-09-16 13:31:37.826355 : Epoch  8, Batch    740, Loss  0.864413, Average Loss  0.868726, Time  0.263903
2021-09-16 13:31:38.126693 : Epoch  6, Batch   1050, Loss  0.885170, Average Loss  0.870331, Time  0.238308
2021-09-16 13:31:40.729149 : Epoch  6, Batch   1051, Loss  0.871200, Average Loss  0.870304, Time  0.238220
2021-09-16 13:31:40.804499 : Epoch  8, Batch    741, Loss  0.867543, Average Loss  0.868724, Time  0.263767
2021-09-16 13:31:43.337825 : Epoch  6, Batch   1052, Loss  0.879717, Average Loss  0.870331, Time  0.238360
2021-09-16 13:31:43.812011 : Epoch  8, Batch    742, Loss  0.844098, Average Loss  0.868535, Time  0.264867
2021-09-16 13:31:45.949009 : Epoch  6, Batch   1053, Loss  0.874386, Average Loss  0.870322, Time  0.238252
2021-09-16 13:31:46.771425 : Epoch  8, Batch    743, Loss  0.853947, Average Loss  0.868571, Time  0.264337
2021-09-16 13:31:48.560775 : Epoch  6, Batch   1054, Loss  0.872652, Average Loss  0.870339, Time  0.238308
2021-09-16 13:31:49.750592 : Epoch  8, Batch    744, Loss  0.856760, Average Loss  0.868434, Time  0.263889
2021-09-16 13:31:51.171990 : Epoch  6, Batch   1055, Loss  0.866522, Average Loss  0.870268, Time  0.238155
2021-09-16 13:31:52.714651 : Epoch  8, Batch    745, Loss  0.869102, Average Loss  0.868413, Time  0.265382
2021-09-16 13:31:53.791233 : Epoch  6, Batch   1056, Loss  0.846854, Average Loss  0.870117, Time  0.238684
2021-09-16 13:31:55.701372 : Epoch  8, Batch    746, Loss  0.852384, Average Loss  0.868250, Time  0.265016
2021-09-16 13:31:56.400740 : Epoch  6, Batch   1057, Loss  0.870434, Average Loss  0.870129, Time  0.237934
2021-09-16 13:31:58.704195 : Epoch  8, Batch    747, Loss  0.873639, Average Loss  0.868370, Time  0.264811
2021-09-16 13:31:59.016015 : Epoch  6, Batch   1058, Loss  0.856964, Average Loss  0.870173, Time  0.238424
2021-09-16 13:32:01.628743 : Epoch  6, Batch   1059, Loss  0.865519, Average Loss  0.870231, Time  0.239408
2021-09-16 13:32:01.688659 : Epoch  8, Batch    748, Loss  0.880124, Average Loss  0.868453, Time  0.272532
2021-09-16 13:32:04.249711 : Epoch  6, Batch   1060, Loss  0.854415, Average Loss  0.870147, Time  0.238351
2021-09-16 13:32:04.681420 : Epoch  8, Batch    749, Loss  0.862433, Average Loss  0.868380, Time  0.264700
2021-09-16 13:32:06.862760 : Epoch  6, Batch   1061, Loss  0.862105, Average Loss  0.870039, Time  0.239741
2021-09-16 13:32:07.659245 : Epoch  8, Batch    750, Loss  0.856374, Average Loss  0.868411, Time  0.264346
2021-09-16 13:32:09.479189 : Epoch  6, Batch   1062, Loss  0.884328, Average Loss  0.870060, Time  0.238389
2021-09-16 13:32:10.624767 : Epoch  8, Batch    751, Loss  0.880536, Average Loss  0.868412, Time  0.263592
2021-09-16 13:32:12.093935 : Epoch  6, Batch   1063, Loss  0.883479, Average Loss  0.870014, Time  0.238318
2021-09-16 13:32:13.609285 : Epoch  8, Batch    752, Loss  0.869649, Average Loss  0.868522, Time  0.264767
2021-09-16 13:32:14.716968 : Epoch  6, Batch   1064, Loss  0.880948, Average Loss  0.870093, Time  0.238366
2021-09-16 13:32:16.594453 : Epoch  8, Batch    753, Loss  0.860884, Average Loss  0.868473, Time  0.264205
2021-09-16 13:32:17.331695 : Epoch  6, Batch   1065, Loss  0.872985, Average Loss  0.870112, Time  0.238507
2021-09-16 13:32:19.546551 : Epoch  8, Batch    754, Loss  0.869115, Average Loss  0.868509, Time  0.265024
2021-09-16 13:32:19.947722 : Epoch  6, Batch   1066, Loss  0.868435, Average Loss  0.870197, Time  0.238624
2021-09-16 13:32:22.527857 : Epoch  8, Batch    755, Loss  0.876471, Average Loss  0.868607, Time  0.264144
2021-09-16 13:32:22.550679 : Epoch  6, Batch   1067, Loss  0.867027, Average Loss  0.870246, Time  0.238354
2021-09-16 13:32:25.170771 : Epoch  6, Batch   1068, Loss  0.873496, Average Loss  0.870341, Time  0.238693
2021-09-16 13:32:25.511263 : Epoch  8, Batch    756, Loss  0.869132, Average Loss  0.868656, Time  0.264426
2021-09-16 13:32:27.790065 : Epoch  6, Batch   1069, Loss  0.865971, Average Loss  0.870365, Time  0.239917
2021-09-16 13:32:28.475384 : Epoch  8, Batch    757, Loss  0.860585, Average Loss  0.868569, Time  0.264414
2021-09-16 13:32:30.406134 : Epoch  6, Batch   1070, Loss  0.865769, Average Loss  0.870323, Time  0.238059
2021-09-16 13:32:31.464145 : Epoch  8, Batch    758, Loss  0.872694, Average Loss  0.868674, Time  0.264114
2021-09-16 13:32:33.022030 : Epoch  6, Batch   1071, Loss  0.855333, Average Loss  0.870275, Time  0.238263
2021-09-16 13:32:34.453029 : Epoch  8, Batch    759, Loss  0.857616, Average Loss  0.868671, Time  0.264552
2021-09-16 13:32:35.639005 : Epoch  6, Batch   1072, Loss  0.877731, Average Loss  0.870361, Time  0.238375
2021-09-16 13:32:37.466012 : Epoch  8, Batch    760, Loss  0.849355, Average Loss  0.868638, Time  0.265439
2021-09-16 13:32:38.251972 : Epoch  6, Batch   1073, Loss  0.890646, Average Loss  0.870555, Time  0.238337
2021-09-16 13:32:40.463058 : Epoch  8, Batch    761, Loss  0.849383, Average Loss  0.868505, Time  0.265481
2021-09-16 13:32:40.872904 : Epoch  6, Batch   1074, Loss  0.854196, Average Loss  0.870506, Time  0.238595
2021-09-16 13:32:43.425622 : Epoch  8, Batch    762, Loss  0.875898, Average Loss  0.868482, Time  0.264617
2021-09-16 13:32:43.478952 : Epoch  6, Batch   1075, Loss  0.863354, Average Loss  0.870342, Time  0.238271
2021-09-16 13:32:46.093997 : Epoch  6, Batch   1076, Loss  0.859848, Average Loss  0.870321, Time  0.238652
2021-09-16 13:32:46.407696 : Epoch  8, Batch    763, Loss  0.869967, Average Loss  0.868556, Time  0.276773
2021-09-16 13:32:48.704981 : Epoch  6, Batch   1077, Loss  0.876422, Average Loss  0.870459, Time  0.238130
2021-09-16 13:32:49.393836 : Epoch  8, Batch    764, Loss  0.864338, Average Loss  0.868589, Time  0.265653
2021-09-16 13:32:51.313864 : Epoch  6, Batch   1078, Loss  0.850635, Average Loss  0.870353, Time  0.238736
2021-09-16 13:32:52.397163 : Epoch  8, Batch    765, Loss  0.878718, Average Loss  0.868652, Time  0.264452
2021-09-16 13:32:53.937972 : Epoch  6, Batch   1079, Loss  0.882615, Average Loss  0.870458, Time  0.238093
2021-09-16 13:32:55.370514 : Epoch  8, Batch    766, Loss  0.863751, Average Loss  0.868724, Time  0.264427
2021-09-16 13:32:56.547147 : Epoch  6, Batch   1080, Loss  0.878441, Average Loss  0.870514, Time  0.238310
2021-09-16 13:32:58.336405 : Epoch  8, Batch    767, Loss  0.898775, Average Loss  0.868884, Time  0.264224
2021-09-16 13:32:59.180167 : Epoch  6, Batch   1081, Loss  0.881191, Average Loss  0.870560, Time  0.238387
2021-09-16 13:33:01.362327 : Epoch  8, Batch    768, Loss  0.875252, Average Loss  0.868930, Time  0.264226
2021-09-16 13:33:01.796763 : Epoch  6, Batch   1082, Loss  0.888789, Average Loss  0.870565, Time  0.239274
2021-09-16 13:33:04.337777 : Epoch  8, Batch    769, Loss  0.879414, Average Loss  0.868907, Time  0.263850
2021-09-16 13:33:04.409150 : Epoch  6, Batch   1083, Loss  0.884192, Average Loss  0.870539, Time  0.238759
2021-09-16 13:33:07.030053 : Epoch  6, Batch   1084, Loss  0.859077, Average Loss  0.870371, Time  0.238883
2021-09-16 13:33:07.295620 : Epoch  8, Batch    770, Loss  0.858746, Average Loss  0.868751, Time  0.263768
2021-09-16 13:33:09.656176 : Epoch  6, Batch   1085, Loss  0.865197, Average Loss  0.870314, Time  0.239051
2021-09-16 13:33:10.260459 : Epoch  8, Batch    771, Loss  0.875736, Average Loss  0.868841, Time  0.264721
2021-09-16 13:33:12.264078 : Epoch  6, Batch   1086, Loss  0.854337, Average Loss  0.870257, Time  0.238452
2021-09-16 13:33:13.267307 : Epoch  8, Batch    772, Loss  0.866633, Average Loss  0.868888, Time  0.264451
2021-09-16 13:33:14.882711 : Epoch  6, Batch   1087, Loss  0.850943, Average Loss  0.870159, Time  0.240052
2021-09-16 13:33:16.245449 : Epoch  8, Batch    773, Loss  0.853988, Average Loss  0.868823, Time  0.263977
2021-09-16 13:33:17.500896 : Epoch  6, Batch   1088, Loss  0.869132, Average Loss  0.870216, Time  0.238924
2021-09-16 13:33:19.217099 : Epoch  8, Batch    774, Loss  0.879982, Average Loss  0.868864, Time  0.263896
2021-09-16 13:33:20.406585 : Epoch  6, Batch   1089, Loss  0.855710, Average Loss  0.870171, Time  0.270794
2021-09-16 13:33:22.228802 : Epoch  8, Batch    775, Loss  0.860053, Average Loss  0.868855, Time  0.265340
2021-09-16 13:33:23.029228 : Epoch  6, Batch   1090, Loss  0.859882, Average Loss  0.870093, Time  0.243665
2021-09-16 13:33:25.251929 : Epoch  8, Batch    776, Loss  0.878969, Average Loss  0.868846, Time  0.264526
2021-09-16 13:33:25.641919 : Epoch  6, Batch   1091, Loss  0.878852, Average Loss  0.870209, Time  0.239143
2021-09-16 13:33:28.233864 : Epoch  8, Batch    777, Loss  0.871175, Average Loss  0.868897, Time  0.264241
2021-09-16 13:33:28.238898 : Epoch  6, Batch   1092, Loss  0.862617, Average Loss  0.870087, Time  0.238733
2021-09-16 13:33:30.856693 : Epoch  6, Batch   1093, Loss  0.874827, Average Loss  0.870151, Time  0.238281
2021-09-16 13:33:31.213260 : Epoch  8, Batch    778, Loss  0.869383, Average Loss  0.868856, Time  0.275960
2021-09-16 13:33:33.477023 : Epoch  6, Batch   1094, Loss  0.860876, Average Loss  0.870160, Time  0.238538
2021-09-16 13:33:34.190439 : Epoch  8, Batch    779, Loss  0.867806, Average Loss  0.868665, Time  0.265099
2021-09-16 13:33:36.096750 : Epoch  6, Batch   1095, Loss  0.884131, Average Loss  0.870332, Time  0.238478
2021-09-16 13:33:37.155153 : Epoch  8, Batch    780, Loss  0.835004, Average Loss  0.868531, Time  0.263894
2021-09-16 13:33:38.713745 : Epoch  6, Batch   1096, Loss  0.878810, Average Loss  0.870372, Time  0.238239
2021-09-16 13:33:40.118762 : Epoch  8, Batch    781, Loss  0.869810, Average Loss  0.868552, Time  0.264728
2021-09-16 13:33:41.318721 : Epoch  6, Batch   1097, Loss  0.862366, Average Loss  0.870357, Time  0.239223
2021-09-16 13:33:43.084967 : Epoch  8, Batch    782, Loss  0.853460, Average Loss  0.868481, Time  0.264182
2021-09-16 13:33:43.921911 : Epoch  6, Batch   1098, Loss  0.861942, Average Loss  0.870232, Time  0.238283
2021-09-16 13:33:46.062203 : Epoch  8, Batch    783, Loss  0.843768, Average Loss  0.868521, Time  0.264039
2021-09-16 13:33:46.536971 : Epoch  6, Batch   1099, Loss  0.871780, Average Loss  0.870288, Time  0.238406
2021-09-16 13:33:49.052010 : Epoch  8, Batch    784, Loss  0.867276, Average Loss  0.868469, Time  0.264425
2021-09-16 13:33:49.131998 : Epoch  6, Batch   1100, Loss  0.882238, Average Loss  0.870391, Time  0.238902
2021-09-16 13:33:51.735911 : Epoch  6, Batch   1101, Loss  0.888448, Average Loss  0.870503, Time  0.238364
2021-09-16 13:33:52.057369 : Epoch  8, Batch    785, Loss  0.853825, Average Loss  0.868500, Time  0.265153
2021-09-16 13:33:54.346015 : Epoch  6, Batch   1102, Loss  0.884085, Average Loss  0.870682, Time  0.238600
2021-09-16 13:33:55.015212 : Epoch  8, Batch    786, Loss  0.897458, Average Loss  0.868672, Time  0.264646
2021-09-16 13:33:56.954743 : Epoch  6, Batch   1103, Loss  0.849542, Average Loss  0.870538, Time  0.238441
2021-09-16 13:33:57.982341 : Epoch  8, Batch    787, Loss  0.859116, Average Loss  0.868616, Time  0.263703
2021-09-16 13:33:59.575681 : Epoch  6, Batch   1104, Loss  0.850146, Average Loss  0.870473, Time  0.238647
2021-09-16 13:34:00.959516 : Epoch  8, Batch    788, Loss  0.838387, Average Loss  0.868477, Time  0.263697
2021-09-16 13:34:02.204887 : Epoch  6, Batch   1105, Loss  0.854138, Average Loss  0.870329, Time  0.239726
2021-09-16 13:34:03.956806 : Epoch  8, Batch    789, Loss  0.872330, Average Loss  0.868530, Time  0.265302
2021-09-16 13:34:04.828767 : Epoch  6, Batch   1106, Loss  0.873938, Average Loss  0.870343, Time  0.238723
2021-09-16 13:34:06.935034 : Epoch  8, Batch    790, Loss  0.855007, Average Loss  0.868358, Time  0.265663
2021-09-16 13:34:07.449271 : Epoch  6, Batch   1107, Loss  0.867346, Average Loss  0.870329, Time  0.239155
2021-09-16 13:34:09.904173 : Epoch  8, Batch    791, Loss  0.867149, Average Loss  0.868369, Time  0.264281
2021-09-16 13:34:10.051915 : Epoch  6, Batch   1108, Loss  0.853353, Average Loss  0.870208, Time  0.238621
2021-09-16 13:34:12.658947 : Epoch  6, Batch   1109, Loss  0.868619, Average Loss  0.870217, Time  0.238389
2021-09-16 13:34:12.885954 : Epoch  8, Batch    792, Loss  0.870998, Average Loss  0.868378, Time  0.264749
2021-09-16 13:34:15.266176 : Epoch  6, Batch   1110, Loss  0.877493, Average Loss  0.870346, Time  0.238367
2021-09-16 13:34:15.876073 : Epoch  8, Batch    793, Loss  0.884186, Average Loss  0.868537, Time  0.263841
2021-09-16 13:34:17.880182 : Epoch  6, Batch   1111, Loss  0.889910, Average Loss  0.870364, Time  0.238958
2021-09-16 13:34:18.880893 : Epoch  8, Batch    794, Loss  0.858534, Average Loss  0.868511, Time  0.274158
2021-09-16 13:34:20.490156 : Epoch  6, Batch   1112, Loss  0.878950, Average Loss  0.870415, Time  0.239356
2021-09-16 13:34:21.843614 : Epoch  8, Batch    795, Loss  0.885181, Average Loss  0.868515, Time  0.265275
2021-09-16 13:34:23.107063 : Epoch  6, Batch   1113, Loss  0.861980, Average Loss  0.870397, Time  0.238233
2021-09-16 13:34:24.810489 : Epoch  8, Batch    796, Loss  0.892715, Average Loss  0.868595, Time  0.264257
2021-09-16 13:34:25.717148 : Epoch  6, Batch   1114, Loss  0.875203, Average Loss  0.870404, Time  0.238287
2021-09-16 13:34:27.790384 : Epoch  8, Batch    797, Loss  0.865743, Average Loss  0.868452, Time  0.264125
2021-09-16 13:34:28.329328 : Epoch  6, Batch   1115, Loss  0.879844, Average Loss  0.870425, Time  0.239071
2021-09-16 13:34:30.773744 : Epoch  8, Batch    798, Loss  0.880278, Average Loss  0.868533, Time  0.264171
2021-09-16 13:34:30.956138 : Epoch  6, Batch   1116, Loss  0.889634, Average Loss  0.870538, Time  0.238919
2021-09-16 13:34:33.563034 : Epoch  6, Batch   1117, Loss  0.850590, Average Loss  0.870308, Time  0.238324
2021-09-16 13:34:33.731296 : Epoch  8, Batch    799, Loss  0.862541, Average Loss  0.868434, Time  0.264042
2021-09-16 13:34:36.177800 : Epoch  6, Batch   1118, Loss  0.871898, Average Loss  0.870329, Time  0.238296
2021-09-16 13:34:36.701687 : Epoch  8, Batch    800, Loss  0.867547, Average Loss  0.868360, Time  0.264670
2021-09-16 13:34:38.793143 : Epoch  6, Batch   1119, Loss  0.862326, Average Loss  0.870274, Time  0.238086
2021-09-16 13:34:39.672518 : Epoch  8, Batch    801, Loss  0.860854, Average Loss  0.868260, Time  0.264077
2021-09-16 13:34:41.408250 : Epoch  6, Batch   1120, Loss  0.878937, Average Loss  0.870325, Time  0.238411
2021-09-16 13:34:42.637220 : Epoch  8, Batch    802, Loss  0.860657, Average Loss  0.868310, Time  0.263817
2021-09-16 13:34:45.602538 : Epoch  8, Batch    803, Loss  0.860943, Average Loss  0.868305, Time  0.264691
2021-09-16 13:34:48.578263 : Epoch  8, Batch    804, Loss  0.864433, Average Loss  0.868327, Time  0.264233
2021-09-16 13:34:51.540467 : Epoch  8, Batch    805, Loss  0.870282, Average Loss  0.868259, Time  0.264914
2021-09-16 13:34:54.509323 : Epoch  8, Batch    806, Loss  0.879354, Average Loss  0.868359, Time  0.264771
2021-09-16 13:34:57.497553 : Epoch  8, Batch    807, Loss  0.881590, Average Loss  0.868439, Time  0.264740
2021-09-16 13:35:00.467070 : Epoch  8, Batch    808, Loss  0.872891, Average Loss  0.868536, Time  0.263834
2021-09-16 13:38:42.638688 : CheckPoint: Validation Loss  0.00029679, Best Loss  0.00029207
2021-09-16 13:38:45.211984 : Epoch  6, Batch   1121, Loss  0.859433, Average Loss  0.870353, Time  0.239361
2021-09-16 13:38:47.799940 : Epoch  6, Batch   1122, Loss  0.869771, Average Loss  0.870305, Time  0.238491
2021-09-16 13:38:50.389941 : Epoch  6, Batch   1123, Loss  0.862159, Average Loss  0.870292, Time  0.238512
2021-09-16 13:38:53.006940 : Epoch  6, Batch   1124, Loss  0.875963, Average Loss  0.870396, Time  0.238370
2021-09-16 13:38:55.614133 : Epoch  6, Batch   1125, Loss  0.874327, Average Loss  0.870537, Time  0.238419
2021-09-16 13:38:58.222962 : Epoch  6, Batch   1126, Loss  0.890410, Average Loss  0.870575, Time  0.238516
2021-09-16 13:39:00.814954 : Epoch  6, Batch   1127, Loss  0.879472, Average Loss  0.870586, Time  0.238319
2021-09-16 13:39:03.408992 : Epoch  6, Batch   1128, Loss  0.876263, Average Loss  0.870625, Time  0.238852
2021-09-16 13:39:05.995747 : Epoch  6, Batch   1129, Loss  0.857765, Average Loss  0.870516, Time  0.238203
2021-09-16 13:39:08.579469 : Epoch  6, Batch   1130, Loss  0.867249, Average Loss  0.870507, Time  0.238801
2021-09-16 13:39:11.175882 : Epoch  6, Batch   1131, Loss  0.864263, Average Loss  0.870455, Time  0.238124
2021-09-16 13:39:13.766714 : Epoch  6, Batch   1132, Loss  0.880275, Average Loss  0.870456, Time  0.238411
2021-09-16 13:39:16.347076 : Epoch  6, Batch   1133, Loss  0.877483, Average Loss  0.870519, Time  0.238345
2021-09-16 13:39:18.932028 : Epoch  6, Batch   1134, Loss  0.879574, Average Loss  0.870594, Time  0.238465
2021-09-16 13:39:21.530280 : Epoch  6, Batch   1135, Loss  0.861698, Average Loss  0.870507, Time  0.238700
2021-09-16 13:39:24.123137 : Epoch  6, Batch   1136, Loss  0.896262, Average Loss  0.870521, Time  0.238538
2021-09-16 13:39:26.709937 : Epoch  6, Batch   1137, Loss  0.858452, Average Loss  0.870373, Time  0.238737
2021-09-16 13:39:29.307130 : Epoch  6, Batch   1138, Loss  0.868380, Average Loss  0.870379, Time  0.238638
2021-09-16 13:39:31.910962 : Epoch  6, Batch   1139, Loss  0.900491, Average Loss  0.870416, Time  0.238042
2021-09-16 13:39:34.507943 : Epoch  6, Batch   1140, Loss  0.871242, Average Loss  0.870424, Time  0.238554
2021-09-16 13:39:35.552390 : CheckPoint: Validation Loss  0.00030717, Best Loss  0.00029295
2021-09-16 13:39:37.100985 : Epoch  6, Batch   1141, Loss  0.864576, Average Loss  0.870403, Time  0.239559
2021-09-16 13:39:38.519412 : Epoch  8, Batch    809, Loss  0.869817, Average Loss  0.868526, Time  0.263937
2021-09-16 13:39:39.696032 : Epoch  6, Batch   1142, Loss  0.855773, Average Loss  0.870320, Time  0.238564
2021-09-16 13:39:41.490161 : Epoch  8, Batch    810, Loss  0.881929, Average Loss  0.868531, Time  0.264742
2021-09-16 13:39:42.291304 : Epoch  6, Batch   1143, Loss  0.878874, Average Loss  0.870393, Time  0.239418
2021-09-16 13:39:44.497368 : Epoch  8, Batch    811, Loss  0.876894, Average Loss  0.868668, Time  0.264121
2021-09-16 13:39:44.875961 : Epoch  6, Batch   1144, Loss  0.857585, Average Loss  0.870278, Time  0.238366
2021-09-16 13:39:47.448988 : Epoch  6, Batch   1145, Loss  0.863526, Average Loss  0.870302, Time  0.238186
2021-09-16 13:39:47.462058 : Epoch  8, Batch    812, Loss  0.870951, Average Loss  0.868608, Time  0.270181
2021-09-16 13:39:50.046195 : Epoch  6, Batch   1146, Loss  0.843433, Average Loss  0.870088, Time  0.238830
2021-09-16 13:39:50.450260 : Epoch  8, Batch    813, Loss  0.903468, Average Loss  0.868758, Time  0.264564
2021-09-16 13:39:52.648045 : Epoch  6, Batch   1147, Loss  0.866747, Average Loss  0.870031, Time  0.238610
2021-09-16 13:39:53.410832 : Epoch  8, Batch    814, Loss  0.854491, Average Loss  0.868755, Time  0.264179
2021-09-16 13:39:55.238697 : Epoch  6, Batch   1148, Loss  0.863149, Average Loss  0.870044, Time  0.238484
2021-09-16 13:39:56.404425 : Epoch  8, Batch    815, Loss  0.865884, Average Loss  0.868778, Time  0.264265
2021-09-16 13:39:57.834174 : Epoch  6, Batch   1149, Loss  0.868998, Average Loss  0.870052, Time  0.239438
2021-09-16 13:39:59.376639 : Epoch  8, Batch    816, Loss  0.863909, Average Loss  0.868683, Time  0.265717
2021-09-16 13:40:00.511891 : Epoch  6, Batch   1150, Loss  0.874302, Average Loss  0.870139, Time  0.238672
2021-09-16 13:40:02.368621 : Epoch  8, Batch    817, Loss  0.873509, Average Loss  0.868738, Time  0.265361
2021-09-16 13:40:03.159220 : Epoch  6, Batch   1151, Loss  0.881123, Average Loss  0.870251, Time  0.238353
2021-09-16 13:40:05.346790 : Epoch  8, Batch    818, Loss  0.878317, Average Loss  0.868739, Time  0.264360
2021-09-16 13:40:05.762679 : Epoch  6, Batch   1152, Loss  0.861821, Average Loss  0.870196, Time  0.241618
2021-09-16 13:40:08.311994 : Epoch  8, Batch    819, Loss  0.886654, Average Loss  0.868875, Time  0.264550
2021-09-16 13:40:08.364829 : Epoch  6, Batch   1153, Loss  0.873450, Average Loss  0.870240, Time  0.238545
2021-09-16 13:40:10.935965 : Epoch  6, Batch   1154, Loss  0.893810, Average Loss  0.870339, Time  0.238681
2021-09-16 13:40:11.286997 : Epoch  8, Batch    820, Loss  0.888476, Average Loss  0.868985, Time  0.264781
2021-09-16 13:40:13.537964 : Epoch  6, Batch   1155, Loss  0.879769, Average Loss  0.870426, Time  0.238102
2021-09-16 13:40:14.285533 : Epoch  8, Batch    821, Loss  0.869915, Average Loss  0.868987, Time  0.264762
2021-09-16 13:40:16.119059 : Epoch  6, Batch   1156, Loss  0.871717, Average Loss  0.870453, Time  0.238748
2021-09-16 13:40:17.259679 : Epoch  8, Batch    822, Loss  0.872185, Average Loss  0.869135, Time  0.264987
2021-09-16 13:40:18.708713 : Epoch  6, Batch   1157, Loss  0.877835, Average Loss  0.870530, Time  0.239480
2021-09-16 13:40:20.251028 : Epoch  8, Batch    823, Loss  0.894900, Average Loss  0.869215, Time  0.263621
2021-09-16 13:40:21.306978 : Epoch  6, Batch   1158, Loss  0.852671, Average Loss  0.870326, Time  0.238430
2021-09-16 13:40:23.236423 : Epoch  8, Batch    824, Loss  0.865001, Average Loss  0.869239, Time  0.264234
2021-09-16 13:40:23.901298 : Epoch  6, Batch   1159, Loss  0.868080, Average Loss  0.870355, Time  0.238584
2021-09-16 13:40:26.206834 : Epoch  8, Batch    825, Loss  0.880505, Average Loss  0.869299, Time  0.263180
2021-09-16 13:40:26.502182 : Epoch  6, Batch   1160, Loss  0.876315, Average Loss  0.870275, Time  0.238480
2021-09-16 13:40:29.088716 : Epoch  6, Batch   1161, Loss  0.879175, Average Loss  0.870280, Time  0.238353
2021-09-16 13:40:29.162502 : Epoch  8, Batch    826, Loss  0.860635, Average Loss  0.869312, Time  0.264083
2021-09-16 13:40:31.680012 : Epoch  6, Batch   1162, Loss  0.856240, Average Loss  0.870212, Time  0.238621
2021-09-16 13:40:32.139405 : Epoch  8, Batch    827, Loss  0.852604, Average Loss  0.869269, Time  0.276337
2021-09-16 13:40:34.387194 : Epoch  6, Batch   1163, Loss  0.877362, Average Loss  0.870218, Time  0.238062
2021-09-16 13:40:35.123832 : Epoch  8, Batch    828, Loss  0.864940, Average Loss  0.869288, Time  0.265100
2021-09-16 13:40:36.982758 : Epoch  6, Batch   1164, Loss  0.870593, Average Loss  0.870179, Time  0.240412
2021-09-16 13:40:38.086092 : Epoch  8, Batch    829, Loss  0.851461, Average Loss  0.869075, Time  0.264044
2021-09-16 13:40:39.584991 : Epoch  6, Batch   1165, Loss  0.867273, Average Loss  0.870163, Time  0.238572
2021-09-16 13:40:41.045420 : Epoch  8, Batch    830, Loss  0.863740, Average Loss  0.869003, Time  0.263494
2021-09-16 13:40:42.179025 : Epoch  6, Batch   1166, Loss  0.865999, Average Loss  0.870122, Time  0.239196
2021-09-16 13:40:44.017945 : Epoch  8, Batch    831, Loss  0.890960, Average Loss  0.869179, Time  0.264023
2021-09-16 13:40:44.780714 : Epoch  6, Batch   1167, Loss  0.876375, Average Loss  0.870246, Time  0.239241
2021-09-16 13:40:47.015375 : Epoch  8, Batch    832, Loss  0.864256, Average Loss  0.869179, Time  0.265210
2021-09-16 13:40:47.359199 : Epoch  6, Batch   1168, Loss  0.852983, Average Loss  0.870037, Time  0.238758
2021-09-16 13:40:49.940915 : Epoch  6, Batch   1169, Loss  0.879597, Average Loss  0.870156, Time  0.238487
2021-09-16 13:40:50.001680 : Epoch  8, Batch    833, Loss  0.866395, Average Loss  0.869175, Time  0.263721
2021-09-16 13:40:52.540172 : Epoch  6, Batch   1170, Loss  0.869644, Average Loss  0.870116, Time  0.238338
2021-09-16 13:40:52.963987 : Epoch  8, Batch    834, Loss  0.884371, Average Loss  0.869210, Time  0.264813
2021-09-16 13:40:55.134718 : Epoch  6, Batch   1171, Loss  0.854163, Average Loss  0.870045, Time  0.238882
2021-09-16 13:40:55.922457 : Epoch  8, Batch    835, Loss  0.857294, Average Loss  0.869123, Time  0.263505
2021-09-16 13:40:57.728871 : Epoch  6, Batch   1172, Loss  0.867135, Average Loss  0.870067, Time  0.238595
2021-09-16 13:40:58.835285 : Epoch  8, Batch    836, Loss  0.875469, Average Loss  0.869129, Time  0.263883
2021-09-16 13:41:00.317966 : Epoch  6, Batch   1173, Loss  0.872971, Average Loss  0.870108, Time  0.238221
2021-09-16 13:41:01.801515 : Epoch  8, Batch    837, Loss  0.855224, Average Loss  0.869113, Time  0.264763
2021-09-16 13:41:02.918968 : Epoch  6, Batch   1174, Loss  0.862581, Average Loss  0.870058, Time  0.238109
2021-09-16 13:41:04.771166 : Epoch  8, Batch    838, Loss  0.843524, Average Loss  0.868906, Time  0.264941
2021-09-16 13:41:05.513861 : Epoch  6, Batch   1175, Loss  0.868650, Average Loss  0.870032, Time  0.238434
2021-09-16 13:41:07.731923 : Epoch  8, Batch    839, Loss  0.871880, Average Loss  0.868913, Time  0.264117
2021-09-16 13:41:08.353154 : Epoch  6, Batch   1176, Loss  0.870854, Average Loss  0.870043, Time  0.238241
2021-09-16 13:41:10.691377 : Epoch  8, Batch    840, Loss  0.867930, Average Loss  0.868968, Time  0.264655
2021-09-16 13:41:10.944909 : Epoch  6, Batch   1177, Loss  0.889656, Average Loss  0.870226, Time  0.238417
2021-09-16 13:41:13.517115 : Epoch  6, Batch   1178, Loss  0.845913, Average Loss  0.870111, Time  0.238524
2021-09-16 13:41:13.655643 : Epoch  8, Batch    841, Loss  0.877087, Average Loss  0.869039, Time  0.264548
2021-09-16 13:41:16.105026 : Epoch  6, Batch   1179, Loss  0.892951, Average Loss  0.870254, Time  0.239522
2021-09-16 13:41:16.607799 : Epoch  8, Batch    842, Loss  0.876878, Average Loss  0.869103, Time  0.264566
2021-09-16 13:41:18.691316 : Epoch  6, Batch   1180, Loss  0.870538, Average Loss  0.870302, Time  0.238769
2021-09-16 13:41:19.598155 : Epoch  8, Batch    843, Loss  0.870267, Average Loss  0.868967, Time  0.275623
2021-09-16 13:41:21.264714 : Epoch  6, Batch   1181, Loss  0.865209, Average Loss  0.870296, Time  0.238096
2021-09-16 13:41:22.573718 : Epoch  8, Batch    844, Loss  0.869896, Average Loss  0.868955, Time  0.265192
2021-09-16 13:41:23.859873 : Epoch  6, Batch   1182, Loss  0.865358, Average Loss  0.870338, Time  0.238671
2021-09-16 13:41:25.542977 : Epoch  8, Batch    845, Loss  0.899487, Average Loss  0.869221, Time  0.265454
2021-09-16 13:41:26.446945 : Epoch  6, Batch   1183, Loss  0.845832, Average Loss  0.870256, Time  0.238467
2021-09-16 13:41:28.510490 : Epoch  8, Batch    846, Loss  0.855531, Average Loss  0.869192, Time  0.265191
2021-09-16 13:41:29.030058 : Epoch  6, Batch   1184, Loss  0.875350, Average Loss  0.870449, Time  0.238347
2021-09-16 13:41:31.476922 : Epoch  8, Batch    847, Loss  0.860891, Average Loss  0.869273, Time  0.264749
2021-09-16 13:41:31.599942 : Epoch  6, Batch   1185, Loss  0.861561, Average Loss  0.870407, Time  0.238322
2021-09-16 13:41:34.172978 : Epoch  6, Batch   1186, Loss  0.857289, Average Loss  0.870359, Time  0.238264
2021-09-16 13:41:34.478193 : Epoch  8, Batch    848, Loss  0.872374, Average Loss  0.869290, Time  0.264867
2021-09-16 13:41:36.762769 : Epoch  6, Batch   1187, Loss  0.850537, Average Loss  0.870220, Time  0.238775
2021-09-16 13:41:37.448862 : Epoch  8, Batch    849, Loss  0.859357, Average Loss  0.869215, Time  0.264574
2021-09-16 13:41:39.356992 : Epoch  6, Batch   1188, Loss  0.864824, Average Loss  0.870179, Time  0.239188
2021-09-16 13:41:40.456001 : Epoch  8, Batch    850, Loss  0.877859, Average Loss  0.869158, Time  0.265016
2021-09-16 13:41:41.973894 : Epoch  6, Batch   1189, Loss  0.881225, Average Loss  0.870239, Time  0.238150
2021-09-16 13:41:43.463471 : Epoch  8, Batch    851, Loss  0.874617, Average Loss  0.869207, Time  0.264724
2021-09-16 13:41:44.558855 : Epoch  6, Batch   1190, Loss  0.877872, Average Loss  0.870272, Time  0.239729
2021-09-16 13:41:46.432088 : Epoch  8, Batch    852, Loss  0.872833, Average Loss  0.869352, Time  0.265018
2021-09-16 13:41:47.145972 : Epoch  6, Batch   1191, Loss  0.872804, Average Loss  0.870173, Time  0.239407
2021-09-16 13:41:49.413566 : Epoch  8, Batch    853, Loss  0.866465, Average Loss  0.869376, Time  0.263527
2021-09-16 13:41:49.744852 : Epoch  6, Batch   1192, Loss  0.888729, Average Loss  0.870360, Time  0.238819
2021-09-16 13:41:52.334914 : Epoch  6, Batch   1193, Loss  0.878244, Average Loss  0.870343, Time  0.238683
2021-09-16 13:41:52.369935 : Epoch  8, Batch    854, Loss  0.872086, Average Loss  0.869441, Time  0.263324
2021-09-16 13:41:54.925759 : Epoch  6, Batch   1194, Loss  0.855952, Average Loss  0.870270, Time  0.238420
2021-09-16 13:41:55.308919 : Epoch  8, Batch    855, Loss  0.869241, Average Loss  0.869352, Time  0.263740
2021-09-16 13:41:57.517148 : Epoch  6, Batch   1195, Loss  0.872799, Average Loss  0.870194, Time  0.238366
2021-09-16 13:41:58.245792 : Epoch  8, Batch    856, Loss  0.870047, Average Loss  0.869280, Time  0.263975
2021-09-16 13:42:00.095920 : Epoch  6, Batch   1196, Loss  0.883130, Average Loss  0.870279, Time  0.238362
2021-09-16 13:42:01.214933 : Epoch  8, Batch    857, Loss  0.878631, Average Loss  0.869286, Time  0.265530
2021-09-16 13:42:02.676284 : Epoch  6, Batch   1197, Loss  0.850066, Average Loss  0.870177, Time  0.238564
2021-09-16 13:42:04.195390 : Epoch  8, Batch    858, Loss  0.878968, Average Loss  0.869362, Time  0.275680
2021-09-16 13:42:05.263870 : Epoch  6, Batch   1198, Loss  0.857400, Average Loss  0.870052, Time  0.238802
2021-09-16 13:42:07.186516 : Epoch  8, Batch    859, Loss  0.889306, Average Loss  0.869463, Time  0.265995
2021-09-16 13:42:07.849749 : Epoch  6, Batch   1199, Loss  0.871819, Average Loss  0.869928, Time  0.238482
2021-09-16 13:42:10.145473 : Epoch  8, Batch    860, Loss  0.876148, Average Loss  0.869467, Time  0.264639
2021-09-16 13:42:10.434745 : Epoch  6, Batch   1200, Loss  0.860842, Average Loss  0.869988, Time  0.238228
2021-09-16 13:42:13.011874 : Epoch  6, Batch   1201, Loss  0.878656, Average Loss  0.870025, Time  0.238534
2021-09-16 13:42:13.107488 : Epoch  8, Batch    861, Loss  0.889362, Average Loss  0.869512, Time  0.264102
2021-09-16 13:42:15.594902 : Epoch  6, Batch   1202, Loss  0.871589, Average Loss  0.870045, Time  0.238595
2021-09-16 13:42:16.076282 : Epoch  8, Batch    862, Loss  0.859944, Average Loss  0.869525, Time  0.265141
2021-09-16 13:42:18.173067 : Epoch  6, Batch   1203, Loss  0.886856, Average Loss  0.870209, Time  0.238417
2021-09-16 13:42:19.038424 : Epoch  8, Batch    863, Loss  0.865560, Average Loss  0.869409, Time  0.263595
2021-09-16 13:42:20.748591 : Epoch  6, Batch   1204, Loss  0.882347, Average Loss  0.870241, Time  0.238621
2021-09-16 13:42:21.988809 : Epoch  8, Batch    864, Loss  0.866412, Average Loss  0.869369, Time  0.263781
2021-09-16 13:42:23.331933 : Epoch  6, Batch   1205, Loss  0.853166, Average Loss  0.870118, Time  0.238314
2021-09-16 13:42:24.957769 : Epoch  8, Batch    865, Loss  0.875284, Average Loss  0.869404, Time  0.265555
2021-09-16 13:42:25.920156 : Epoch  6, Batch   1206, Loss  0.880068, Average Loss  0.870200, Time  0.238489
2021-09-16 13:42:27.917936 : Epoch  8, Batch    866, Loss  0.869195, Average Loss  0.869475, Time  0.264291
2021-09-16 13:42:28.511754 : Epoch  6, Batch   1207, Loss  0.873206, Average Loss  0.870212, Time  0.238233
2021-09-16 13:42:30.877827 : Epoch  8, Batch    867, Loss  0.851729, Average Loss  0.869353, Time  0.264271
2021-09-16 13:42:31.104104 : Epoch  6, Batch   1208, Loss  0.884443, Average Loss  0.870296, Time  0.238072
2021-09-16 13:42:33.678812 : Epoch  6, Batch   1209, Loss  0.872104, Average Loss  0.870412, Time  0.238914
2021-09-16 13:42:33.846366 : Epoch  8, Batch    868, Loss  0.845858, Average Loss  0.869227, Time  0.264929
2021-09-16 13:42:36.268722 : Epoch  6, Batch   1210, Loss  0.885518, Average Loss  0.870467, Time  0.238419
2021-09-16 13:42:36.799680 : Epoch  8, Batch    869, Loss  0.895586, Average Loss  0.869364, Time  0.263921
2021-09-16 13:42:38.854238 : Epoch  6, Batch   1211, Loss  0.878981, Average Loss  0.870593, Time  0.239280
2021-09-16 13:42:39.766227 : Epoch  8, Batch    870, Loss  0.887400, Average Loss  0.869512, Time  0.264999
2021-09-16 13:42:41.438937 : Epoch  6, Batch   1212, Loss  0.876545, Average Loss  0.870592, Time  0.238431
2021-09-16 13:42:42.721486 : Epoch  8, Batch    871, Loss  0.875812, Average Loss  0.869680, Time  0.263711
2021-09-16 13:42:44.027939 : Epoch  6, Batch   1213, Loss  0.873794, Average Loss  0.870670, Time  0.238880
2021-09-16 13:42:45.715211 : Epoch  8, Batch    872, Loss  0.843528, Average Loss  0.869550, Time  0.263883
2021-09-16 13:42:46.617918 : Epoch  6, Batch   1214, Loss  0.862698, Average Loss  0.870687, Time  0.239743
2021-09-16 13:42:48.667465 : Epoch  8, Batch    873, Loss  0.885400, Average Loss  0.869559, Time  0.263648
2021-09-16 13:42:49.198003 : Epoch  6, Batch   1215, Loss  0.848855, Average Loss  0.870575, Time  0.238298
2021-09-16 13:42:51.664836 : Epoch  8, Batch    874, Loss  0.856265, Average Loss  0.869513, Time  0.277318
2021-09-16 13:42:51.789802 : Epoch  6, Batch   1216, Loss  0.884227, Average Loss  0.870596, Time  0.238245
2021-09-16 13:42:54.367288 : Epoch  6, Batch   1217, Loss  0.888753, Average Loss  0.870617, Time  0.238849
2021-09-16 13:42:54.622285 : Epoch  8, Batch    875, Loss  0.872173, Average Loss  0.869535, Time  0.265400
2021-09-16 13:42:56.950138 : Epoch  6, Batch   1218, Loss  0.875144, Average Loss  0.870598, Time  0.238290
2021-09-16 13:42:57.586085 : Epoch  8, Batch    876, Loss  0.858305, Average Loss  0.869423, Time  0.264652
2021-09-16 13:42:59.538024 : Epoch  6, Batch   1219, Loss  0.877224, Average Loss  0.870702, Time  0.238451
2021-09-16 13:43:00.532419 : Epoch  8, Batch    877, Loss  0.875517, Average Loss  0.869336, Time  0.264108
2021-09-16 13:43:02.119693 : Epoch  6, Batch   1220, Loss  0.863882, Average Loss  0.870592, Time  0.238893
2021-09-16 13:43:03.484127 : Epoch  8, Batch    878, Loss  0.853502, Average Loss  0.869286, Time  0.264077
2021-09-16 13:43:06.469241 : Epoch  8, Batch    879, Loss  0.851808, Average Loss  0.869146, Time  0.265541
2021-09-16 13:43:09.426308 : Epoch  8, Batch    880, Loss  0.906669, Average Loss  0.869345, Time  0.264507
2021-09-16 13:43:12.388887 : Epoch  8, Batch    881, Loss  0.883688, Average Loss  0.869414, Time  0.264465
2021-09-16 13:43:15.365306 : Epoch  8, Batch    882, Loss  0.861437, Average Loss  0.869305, Time  0.264940
2021-09-16 13:43:18.322161 : Epoch  8, Batch    883, Loss  0.869393, Average Loss  0.869174, Time  0.264206
2021-09-16 13:43:21.280149 : Epoch  8, Batch    884, Loss  0.863781, Average Loss  0.868991, Time  0.262678
2021-09-16 13:43:24.214156 : Epoch  8, Batch    885, Loss  0.846578, Average Loss  0.868863, Time  0.264155
2021-09-16 13:43:27.162419 : Epoch  8, Batch    886, Loss  0.871313, Average Loss  0.868785, Time  0.263829
2021-09-16 13:43:30.095454 : Epoch  8, Batch    887, Loss  0.887616, Average Loss  0.868858, Time  0.262808
2021-09-16 13:43:33.053458 : Epoch  8, Batch    888, Loss  0.866588, Average Loss  0.868873, Time  0.265008
2021-09-16 13:43:36.032372 : Epoch  8, Batch    889, Loss  0.861400, Average Loss  0.868755, Time  0.264668
2021-09-16 13:43:39.017065 : Epoch  8, Batch    890, Loss  0.865920, Average Loss  0.868788, Time  0.275823
2021-09-16 13:43:42.013034 : Epoch  8, Batch    891, Loss  0.854331, Average Loss  0.868675, Time  0.264934
2021-09-16 13:43:44.969305 : Epoch  8, Batch    892, Loss  0.877244, Average Loss  0.868728, Time  0.264530
2021-09-16 13:43:47.921183 : Epoch  8, Batch    893, Loss  0.870227, Average Loss  0.868780, Time  0.264341
2021-09-16 13:43:50.873575 : Epoch  8, Batch    894, Loss  0.851766, Average Loss  0.868764, Time  0.262498
2021-09-16 13:43:53.854279 : Epoch  8, Batch    895, Loss  0.865531, Average Loss  0.868716, Time  0.264253
2021-09-16 13:43:56.823382 : Epoch  8, Batch    896, Loss  0.840835, Average Loss  0.868621, Time  0.264245
2021-09-16 13:43:59.779506 : Epoch  8, Batch    897, Loss  0.858430, Average Loss  0.868677, Time  0.264298
2021-09-16 13:44:02.734389 : Epoch  8, Batch    898, Loss  0.873060, Average Loss  0.868784, Time  0.264160
2021-09-16 13:44:05.738963 : Epoch  8, Batch    899, Loss  0.885388, Average Loss  0.868836, Time  0.267553
2021-09-16 13:44:08.716248 : Epoch  8, Batch    900, Loss  0.858073, Average Loss  0.868636, Time  0.264044
2021-09-16 13:44:11.693318 : Epoch  8, Batch    901, Loss  0.851505, Average Loss  0.868565, Time  0.265448
2021-09-16 13:44:14.675520 : Epoch  8, Batch    902, Loss  0.857611, Average Loss  0.868388, Time  0.264639
2021-09-16 13:44:17.651636 : Epoch  8, Batch    903, Loss  0.879736, Average Loss  0.868388, Time  0.263943
2021-09-16 13:44:20.623191 : Epoch  8, Batch    904, Loss  0.854923, Average Loss  0.868337, Time  0.265444
2021-09-16 13:44:23.642475 : Epoch  8, Batch    905, Loss  0.865304, Average Loss  0.868361, Time  0.275130
2021-09-16 13:44:26.590227 : Epoch  8, Batch    906, Loss  0.869421, Average Loss  0.868424, Time  0.262681
2021-09-16 13:44:29.528998 : Epoch  8, Batch    907, Loss  0.862087, Average Loss  0.868416, Time  0.264146
2021-09-16 13:44:32.516229 : Epoch  8, Batch    908, Loss  0.859034, Average Loss  0.868349, Time  0.264621
2021-09-16 13:47:03.064693 : CheckPoint: Validation Loss  0.00030182, Best Loss  0.00029207
2021-09-16 13:47:05.636895 : Epoch  6, Batch   1221, Loss  0.868620, Average Loss  0.870538, Time  0.239631
2021-09-16 13:47:08.231070 : Epoch  6, Batch   1222, Loss  0.868383, Average Loss  0.870532, Time  0.239388
2021-09-16 13:47:10.824956 : Epoch  6, Batch   1223, Loss  0.872576, Average Loss  0.870511, Time  0.238697
2021-09-16 13:47:13.427978 : Epoch  6, Batch   1224, Loss  0.873156, Average Loss  0.870422, Time  0.238456
2021-09-16 13:47:16.021182 : Epoch  6, Batch   1225, Loss  0.881300, Average Loss  0.870493, Time  0.239427
2021-09-16 13:47:18.605964 : Epoch  6, Batch   1226, Loss  0.872297, Average Loss  0.870434, Time  0.238428
2021-09-16 13:47:21.196148 : Epoch  6, Batch   1227, Loss  0.868873, Average Loss  0.870470, Time  0.238803
2021-09-16 13:47:23.788139 : Epoch  6, Batch   1228, Loss  0.877513, Average Loss  0.870501, Time  0.239142
2021-09-16 13:47:26.371144 : Epoch  6, Batch   1229, Loss  0.864952, Average Loss  0.870476, Time  0.238087
2021-09-16 13:47:28.961092 : Epoch  6, Batch   1230, Loss  0.872540, Average Loss  0.870473, Time  0.238518
2021-09-16 13:47:31.542354 : Epoch  6, Batch   1231, Loss  0.853252, Average Loss  0.870340, Time  0.238535
2021-09-16 13:47:34.125499 : Epoch  6, Batch   1232, Loss  0.888705, Average Loss  0.870262, Time  0.238539
2021-09-16 13:47:36.707942 : Epoch  6, Batch   1233, Loss  0.856915, Average Loss  0.870310, Time  0.238831
2021-09-16 13:47:39.305700 : Epoch  6, Batch   1234, Loss  0.873783, Average Loss  0.870431, Time  0.238310
2021-09-16 13:47:41.885972 : Epoch  6, Batch   1235, Loss  0.883212, Average Loss  0.870537, Time  0.238213
2021-09-16 13:47:44.474174 : Epoch  6, Batch   1236, Loss  0.870117, Average Loss  0.870462, Time  0.238435
2021-09-16 13:47:47.070034 : Epoch  6, Batch   1237, Loss  0.848171, Average Loss  0.870336, Time  0.239161
2021-09-16 13:47:49.650163 : Epoch  6, Batch   1238, Loss  0.881329, Average Loss  0.870295, Time  0.238369
2021-09-16 13:47:52.234997 : Epoch  6, Batch   1239, Loss  0.891783, Average Loss  0.870349, Time  0.238126
2021-09-16 13:47:54.812188 : Epoch  6, Batch   1240, Loss  0.879636, Average Loss  0.870421, Time  0.238446
2021-09-16 13:47:57.390991 : Epoch  6, Batch   1241, Loss  0.859236, Average Loss  0.870484, Time  0.238723
2021-09-16 13:47:59.975177 : Epoch  6, Batch   1242, Loss  0.861890, Average Loss  0.870354, Time  0.238288
2021-09-16 13:48:02.566698 : Epoch  6, Batch   1243, Loss  0.860759, Average Loss  0.870376, Time  0.238229
2021-09-16 13:48:05.151085 : Epoch  6, Batch   1244, Loss  0.869735, Average Loss  0.870364, Time  0.238660
2021-09-16 13:48:07.743710 : Epoch  6, Batch   1245, Loss  0.840902, Average Loss  0.870235, Time  0.238564
2021-09-16 13:48:10.323782 : Epoch  6, Batch   1246, Loss  0.890568, Average Loss  0.870277, Time  0.238327
2021-09-16 13:48:12.910005 : Epoch  6, Batch   1247, Loss  0.857959, Average Loss  0.870283, Time  0.238665
2021-09-16 13:48:15.501942 : Epoch  6, Batch   1248, Loss  0.881570, Average Loss  0.870340, Time  0.239065
2021-09-16 13:48:18.088910 : Epoch  6, Batch   1249, Loss  0.865828, Average Loss  0.870282, Time  0.238450
2021-09-16 13:48:20.673926 : Epoch  6, Batch   1250, Loss  0.846884, Average Loss  0.870091, Time  0.239109
2021-09-16 13:48:23.259840 : Epoch  6, Batch   1251, Loss  0.856295, Average Loss  0.870016, Time  0.238879
2021-09-16 13:48:25.843998 : Epoch  6, Batch   1252, Loss  0.874928, Average Loss  0.869992, Time  0.238458
2021-09-16 13:48:28.426956 : Epoch  6, Batch   1253, Loss  0.879355, Average Loss  0.870017, Time  0.238308
2021-09-16 13:48:31.003480 : Epoch  6, Batch   1254, Loss  0.873806, Average Loss  0.870023, Time  0.239080
2021-09-16 13:48:33.600899 : Epoch  6, Batch   1255, Loss  0.873804, Average Loss  0.870059, Time  0.238379
2021-09-16 13:48:36.189941 : Epoch  6, Batch   1256, Loss  0.860334, Average Loss  0.870127, Time  0.238718
2021-09-16 13:48:38.776018 : Epoch  6, Batch   1257, Loss  0.873860, Average Loss  0.870144, Time  0.238345
2021-09-16 13:48:41.362986 : Epoch  6, Batch   1258, Loss  0.844150, Average Loss  0.870080, Time  0.238353
2021-09-16 13:48:43.946233 : Epoch  6, Batch   1259, Loss  0.860196, Average Loss  0.870053, Time  0.238260
2021-09-16 13:48:46.531723 : Epoch  6, Batch   1260, Loss  0.868007, Average Loss  0.870121, Time  0.238940
2021-09-16 13:48:49.121858 : Epoch  6, Batch   1261, Loss  0.874254, Average Loss  0.870182, Time  0.238209
2021-09-16 13:48:51.703842 : Epoch  6, Batch   1262, Loss  0.874719, Average Loss  0.870134, Time  0.238391
2021-09-16 13:48:54.307106 : Epoch  6, Batch   1263, Loss  0.871243, Average Loss  0.870073, Time  0.237936
2021-09-16 13:48:56.906700 : Epoch  6, Batch   1264, Loss  0.851625, Average Loss  0.869926, Time  0.238268
2021-09-16 13:48:59.493720 : Epoch  6, Batch   1265, Loss  0.871604, Average Loss  0.869919, Time  0.238642
2021-09-16 13:49:02.096040 : Epoch  6, Batch   1266, Loss  0.889829, Average Loss  0.870026, Time  0.238348
2021-09-16 13:49:04.675095 : Epoch  6, Batch   1267, Loss  0.858823, Average Loss  0.869985, Time  0.237999
2021-09-16 13:49:06.553296 : CheckPoint: Validation Loss  0.00029852, Best Loss  0.00029295
2021-09-16 13:49:07.261752 : Epoch  6, Batch   1268, Loss  0.874084, Average Loss  0.869988, Time  0.238188
2021-09-16 13:49:09.507495 : Epoch  8, Batch    909, Loss  0.865617, Average Loss  0.868459, Time  0.264014
2021-09-16 13:49:09.840147 : Epoch  6, Batch   1269, Loss  0.877504, Average Loss  0.870046, Time  0.238020
2021-09-16 13:49:12.422516 : Epoch  6, Batch   1270, Loss  0.879066, Average Loss  0.870112, Time  0.238318
2021-09-16 13:49:12.474402 : Epoch  8, Batch    910, Loss  0.882009, Average Loss  0.868501, Time  0.264961
2021-09-16 13:49:15.012148 : Epoch  6, Batch   1271, Loss  0.875076, Average Loss  0.870211, Time  0.238442
2021-09-16 13:49:15.429392 : Epoch  8, Batch    911, Loss  0.844289, Average Loss  0.868350, Time  0.263864
2021-09-16 13:49:17.598720 : Epoch  6, Batch   1272, Loss  0.869201, Average Loss  0.870168, Time  0.239180
2021-09-16 13:49:18.363975 : Epoch  8, Batch    912, Loss  0.878153, Average Loss  0.868317, Time  0.264966
2021-09-16 13:49:20.185174 : Epoch  6, Batch   1273, Loss  0.864172, Average Loss  0.870036, Time  0.238306
2021-09-16 13:49:21.356710 : Epoch  8, Batch    913, Loss  0.878575, Average Loss  0.868256, Time  0.264875
2021-09-16 13:49:22.771033 : Epoch  6, Batch   1274, Loss  0.880197, Average Loss  0.870166, Time  0.239229
2021-09-16 13:49:24.357838 : Epoch  8, Batch    914, Loss  0.877446, Average Loss  0.868221, Time  0.264469
2021-09-16 13:49:25.356209 : Epoch  6, Batch   1275, Loss  0.868455, Average Loss  0.870191, Time  0.238777
2021-09-16 13:49:27.308568 : Epoch  8, Batch    915, Loss  0.877276, Average Loss  0.868407, Time  0.264359
2021-09-16 13:49:27.948969 : Epoch  6, Batch   1276, Loss  0.866821, Average Loss  0.870226, Time  0.238391
2021-09-16 13:49:30.281635 : Epoch  8, Batch    916, Loss  0.868132, Average Loss  0.868313, Time  0.263934
2021-09-16 13:49:30.533183 : Epoch  6, Batch   1277, Loss  0.881122, Average Loss  0.870250, Time  0.238210
2021-09-16 13:49:33.106009 : Epoch  6, Batch   1278, Loss  0.834994, Average Loss  0.870172, Time  0.238788
2021-09-16 13:49:33.261524 : Epoch  8, Batch    917, Loss  0.887942, Average Loss  0.868403, Time  0.265584
2021-09-16 13:49:35.728020 : Epoch  6, Batch   1279, Loss  0.861591, Average Loss  0.870067, Time  0.238561
2021-09-16 13:49:36.226943 : Epoch  8, Batch    918, Loss  0.872343, Average Loss  0.868551, Time  0.264482
2021-09-16 13:49:38.315008 : Epoch  6, Batch   1280, Loss  0.870013, Average Loss  0.870024, Time  0.238374
2021-09-16 13:49:39.217468 : Epoch  8, Batch    919, Loss  0.893079, Average Loss  0.868695, Time  0.264318
2021-09-16 13:49:40.903770 : Epoch  6, Batch   1281, Loss  0.878077, Average Loss  0.870009, Time  0.238724
2021-09-16 13:49:42.178820 : Epoch  8, Batch    920, Loss  0.884585, Average Loss  0.868790, Time  0.263963
2021-09-16 13:49:43.489966 : Epoch  6, Batch   1282, Loss  0.837624, Average Loss  0.869753, Time  0.238149
2021-09-16 13:49:45.161190 : Epoch  8, Batch    921, Loss  0.878009, Average Loss  0.868796, Time  0.264332
2021-09-16 13:49:46.075955 : Epoch  6, Batch   1283, Loss  0.871304, Average Loss  0.869689, Time  0.238473
2021-09-16 13:49:48.129717 : Epoch  8, Batch    922, Loss  0.882775, Average Loss  0.868969, Time  0.277132
2021-09-16 13:49:48.666221 : Epoch  6, Batch   1284, Loss  0.862903, Average Loss  0.869708, Time  0.238343
2021-09-16 13:49:51.112929 : Epoch  8, Batch    923, Loss  0.876500, Average Loss  0.869013, Time  0.264952
2021-09-16 13:49:51.258715 : Epoch  6, Batch   1285, Loss  0.866099, Average Loss  0.869712, Time  0.238380
2021-09-16 13:49:53.840912 : Epoch  6, Batch   1286, Loss  0.867901, Average Loss  0.869780, Time  0.238146
2021-09-16 13:49:54.076139 : Epoch  8, Batch    924, Loss  0.868324, Average Loss  0.869039, Time  0.264348
2021-09-16 13:49:56.425729 : Epoch  6, Batch   1287, Loss  0.865451, Average Loss  0.869853, Time  0.238378
2021-09-16 13:49:57.051380 : Epoch  8, Batch    925, Loss  0.881136, Average Loss  0.869038, Time  0.264227
2021-09-16 13:49:59.019904 : Epoch  6, Batch   1288, Loss  0.866248, Average Loss  0.869838, Time  0.238441
2021-09-16 13:50:00.012310 : Epoch  8, Batch    926, Loss  0.866479, Average Loss  0.869004, Time  0.263712
2021-09-16 13:50:01.618834 : Epoch  6, Batch   1289, Loss  0.888319, Average Loss  0.870001, Time  0.238902
2021-09-16 13:50:02.975838 : Epoch  8, Batch    927, Loss  0.843108, Average Loss  0.868952, Time  0.264371
2021-09-16 13:50:04.211218 : Epoch  6, Batch   1290, Loss  0.860761, Average Loss  0.870006, Time  0.238431
2021-09-16 13:50:05.940473 : Epoch  8, Batch    928, Loss  0.856938, Average Loss  0.868911, Time  0.264470
2021-09-16 13:50:06.795122 : Epoch  6, Batch   1291, Loss  0.886130, Average Loss  0.870042, Time  0.238243
2021-09-16 13:50:08.897506 : Epoch  8, Batch    929, Loss  0.870989, Average Loss  0.868929, Time  0.264351
2021-09-16 13:50:09.410735 : Epoch  6, Batch   1292, Loss  0.861656, Average Loss  0.870037, Time  0.239198
2021-09-16 13:50:11.885696 : Epoch  8, Batch    930, Loss  0.848747, Average Loss  0.868901, Time  0.264753
2021-09-16 13:50:11.982960 : Epoch  6, Batch   1293, Loss  0.847927, Average Loss  0.869903, Time  0.238118
2021-09-16 13:50:14.567716 : Epoch  6, Batch   1294, Loss  0.860528, Average Loss  0.869901, Time  0.238297
2021-09-16 13:50:14.866131 : Epoch  8, Batch    931, Loss  0.871724, Average Loss  0.868890, Time  0.264673
2021-09-16 13:50:17.164964 : Epoch  6, Batch   1295, Loss  0.883595, Average Loss  0.869898, Time  0.239615
2021-09-16 13:50:17.813532 : Epoch  8, Batch    932, Loss  0.860565, Average Loss  0.868761, Time  0.264323
2021-09-16 13:50:19.753836 : Epoch  6, Batch   1296, Loss  0.877101, Average Loss  0.869890, Time  0.238224
2021-09-16 13:50:20.805800 : Epoch  8, Batch    933, Loss  0.847099, Average Loss  0.868684, Time  0.264502
2021-09-16 13:50:22.344010 : Epoch  6, Batch   1297, Loss  0.888354, Average Loss  0.870020, Time  0.239412
2021-09-16 13:50:23.792855 : Epoch  8, Batch    934, Loss  0.881701, Average Loss  0.868766, Time  0.264495
2021-09-16 13:50:24.937119 : Epoch  6, Batch   1298, Loss  0.874274, Average Loss  0.870081, Time  0.238847
2021-09-16 13:50:26.783935 : Epoch  8, Batch    935, Loss  0.857475, Average Loss  0.868745, Time  0.264014
2021-09-16 13:50:27.526883 : Epoch  6, Batch   1299, Loss  0.900450, Average Loss  0.870225, Time  0.238289
2021-09-16 13:50:29.738156 : Epoch  8, Batch    936, Loss  0.876496, Average Loss  0.868727, Time  0.263929
2021-09-16 13:50:30.124726 : Epoch  6, Batch   1300, Loss  0.871124, Average Loss  0.870169, Time  0.238801
2021-09-16 13:50:32.703806 : Epoch  6, Batch   1301, Loss  0.872688, Average Loss  0.870090, Time  0.238502
2021-09-16 13:50:32.721374 : Epoch  8, Batch    937, Loss  0.857528, Average Loss  0.868657, Time  0.264408
2021-09-16 13:50:35.302802 : Epoch  6, Batch   1302, Loss  0.856069, Average Loss  0.869950, Time  0.238645
2021-09-16 13:50:35.708397 : Epoch  8, Batch    938, Loss  0.862851, Average Loss  0.868596, Time  0.270780
2021-09-16 13:50:37.879971 : Epoch  6, Batch   1303, Loss  0.851515, Average Loss  0.869960, Time  0.238568
2021-09-16 13:50:38.671758 : Epoch  8, Batch    939, Loss  0.853603, Average Loss  0.868503, Time  0.264657
2021-09-16 13:50:40.463270 : Epoch  6, Batch   1304, Loss  0.873881, Average Loss  0.870079, Time  0.237928
2021-09-16 13:50:41.665970 : Epoch  8, Batch    940, Loss  0.855799, Average Loss  0.868460, Time  0.265266
2021-09-16 13:50:43.048991 : Epoch  6, Batch   1305, Loss  0.862295, Average Loss  0.870119, Time  0.238232
2021-09-16 13:50:44.648069 : Epoch  8, Batch    941, Loss  0.869833, Average Loss  0.868471, Time  0.263720
2021-09-16 13:50:45.637796 : Epoch  6, Batch   1306, Loss  0.878288, Average Loss  0.870141, Time  0.238246
2021-09-16 13:50:47.599000 : Epoch  8, Batch    942, Loss  0.872897, Average Loss  0.868615, Time  0.264616
2021-09-16 13:50:48.229922 : Epoch  6, Batch   1307, Loss  0.854540, Average Loss  0.870077, Time  0.238489
2021-09-16 13:50:50.551600 : Epoch  8, Batch    943, Loss  0.872679, Average Loss  0.868709, Time  0.264678
2021-09-16 13:50:50.836971 : Epoch  6, Batch   1308, Loss  0.856569, Average Loss  0.870093, Time  0.238541
2021-09-16 13:50:53.418860 : Epoch  6, Batch   1309, Loss  0.881932, Average Loss  0.870160, Time  0.239928
2021-09-16 13:50:53.546887 : Epoch  8, Batch    944, Loss  0.877865, Average Loss  0.868815, Time  0.264052
2021-09-16 13:50:56.001932 : Epoch  6, Batch   1310, Loss  0.899715, Average Loss  0.870271, Time  0.238162
2021-09-16 13:50:56.534984 : Epoch  8, Batch    945, Loss  0.852045, Average Loss  0.868729, Time  0.264648
2021-09-16 13:50:58.581234 : Epoch  6, Batch   1311, Loss  0.878839, Average Loss  0.870216, Time  0.238425
2021-09-16 13:50:59.497247 : Epoch  8, Batch    946, Loss  0.885719, Average Loss  0.868896, Time  0.266037
2021-09-16 13:51:01.166881 : Epoch  6, Batch   1312, Loss  0.859860, Average Loss  0.870120, Time  0.238301
2021-09-16 13:51:02.459342 : Epoch  8, Batch    947, Loss  0.880078, Average Loss  0.868928, Time  0.263717
2021-09-16 13:51:03.752843 : Epoch  6, Batch   1313, Loss  0.863114, Average Loss  0.870126, Time  0.238230
2021-09-16 13:51:05.428633 : Epoch  8, Batch    948, Loss  0.855675, Average Loss  0.868806, Time  0.263833
2021-09-16 13:51:06.336719 : Epoch  6, Batch   1314, Loss  0.864801, Average Loss  0.870074, Time  0.239013
2021-09-16 13:51:08.391108 : Epoch  8, Batch    949, Loss  0.876175, Average Loss  0.868875, Time  0.264513
2021-09-16 13:51:08.930204 : Epoch  6, Batch   1315, Loss  0.865092, Average Loss  0.870000, Time  0.238390
2021-09-16 13:51:11.358541 : Epoch  8, Batch    950, Loss  0.861063, Average Loss  0.868898, Time  0.264019
2021-09-16 13:51:11.522010 : Epoch  6, Batch   1316, Loss  0.873050, Average Loss  0.869917, Time  0.238265
2021-09-16 13:51:14.096817 : Epoch  6, Batch   1317, Loss  0.833029, Average Loss  0.869829, Time  0.240255
2021-09-16 13:51:14.337959 : Epoch  8, Batch    951, Loss  0.851255, Average Loss  0.868752, Time  0.264072
2021-09-16 13:51:16.694877 : Epoch  6, Batch   1318, Loss  0.892045, Average Loss  0.869930, Time  0.238354
2021-09-16 13:51:17.288743 : Epoch  8, Batch    952, Loss  0.879422, Average Loss  0.868801, Time  0.265046
2021-09-16 13:51:19.285916 : Epoch  6, Batch   1319, Loss  0.868337, Average Loss  0.869960, Time  0.239439
2021-09-16 13:51:20.258706 : Epoch  8, Batch    953, Loss  0.878139, Average Loss  0.868887, Time  0.276298
2021-09-16 13:51:21.870943 : Epoch  6, Batch   1320, Loss  0.861254, Average Loss  0.869872, Time  0.238212
2021-09-16 13:51:23.216520 : Epoch  8, Batch    954, Loss  0.865668, Average Loss  0.868870, Time  0.265089
2021-09-16 13:51:26.201059 : Epoch  8, Batch    955, Loss  0.867612, Average Loss  0.868825, Time  0.263035
2021-09-16 13:51:29.156150 : Epoch  8, Batch    956, Loss  0.876340, Average Loss  0.868861, Time  0.264850
2021-09-16 13:51:32.122740 : Epoch  8, Batch    957, Loss  0.868767, Average Loss  0.868902, Time  0.264266
2021-09-16 13:51:35.076997 : Epoch  8, Batch    958, Loss  0.854553, Average Loss  0.868812, Time  0.263852
2021-09-16 13:51:38.033892 : Epoch  8, Batch    959, Loss  0.871479, Average Loss  0.868881, Time  0.264793
2021-09-16 13:51:40.996099 : Epoch  8, Batch    960, Loss  0.890825, Average Loss  0.869088, Time  0.263285
2021-09-16 13:51:43.972605 : Epoch  8, Batch    961, Loss  0.864366, Average Loss  0.869163, Time  0.264672
2021-09-16 13:51:46.933539 : Epoch  8, Batch    962, Loss  0.865069, Average Loss  0.869109, Time  0.264836
2021-09-16 13:51:49.886713 : Epoch  8, Batch    963, Loss  0.872411, Average Loss  0.869121, Time  0.263830
2021-09-16 13:51:52.844927 : Epoch  8, Batch    964, Loss  0.867337, Average Loss  0.869136, Time  0.264225
2021-09-16 13:51:55.795976 : Epoch  8, Batch    965, Loss  0.837554, Average Loss  0.868930, Time  0.264804
2021-09-16 13:51:58.752459 : Epoch  8, Batch    966, Loss  0.870506, Average Loss  0.868964, Time  0.265175
2021-09-16 13:52:01.704359 : Epoch  8, Batch    967, Loss  0.860284, Average Loss  0.868772, Time  0.262810
2021-09-16 13:52:04.622135 : Epoch  8, Batch    968, Loss  0.865092, Average Loss  0.868721, Time  0.264391
2021-09-16 13:52:07.607332 : Epoch  8, Batch    969, Loss  0.882919, Average Loss  0.868738, Time  0.272102
2021-09-16 13:52:10.570942 : Epoch  8, Batch    970, Loss  0.876546, Average Loss  0.868827, Time  0.264447
2021-09-16 13:52:13.520416 : Epoch  8, Batch    971, Loss  0.879471, Average Loss  0.868846, Time  0.264647
2021-09-16 13:52:16.464015 : Epoch  8, Batch    972, Loss  0.867374, Average Loss  0.868850, Time  0.263463
2021-09-16 13:52:19.424770 : Epoch  8, Batch    973, Loss  0.878184, Average Loss  0.868971, Time  0.263702
2021-09-16 13:52:22.373917 : Epoch  8, Batch    974, Loss  0.871100, Average Loss  0.868926, Time  0.264501
2021-09-16 13:52:25.363918 : Epoch  8, Batch    975, Loss  0.861373, Average Loss  0.868933, Time  0.264620
2021-09-16 13:52:28.358708 : Epoch  8, Batch    976, Loss  0.847465, Average Loss  0.868776, Time  0.264571
2021-09-16 13:52:31.347536 : Epoch  8, Batch    977, Loss  0.845299, Average Loss  0.868646, Time  0.264886
2021-09-16 13:52:34.338172 : Epoch  8, Batch    978, Loss  0.877897, Average Loss  0.868689, Time  0.265105
2021-09-16 13:52:37.303442 : Epoch  8, Batch    979, Loss  0.869331, Average Loss  0.868696, Time  0.264582
2021-09-16 13:52:40.257950 : Epoch  8, Batch    980, Loss  0.865438, Average Loss  0.868848, Time  0.265342
2021-09-16 13:52:43.242219 : Epoch  8, Batch    981, Loss  0.863525, Average Loss  0.868817, Time  0.264350
2021-09-16 13:52:46.193069 : Epoch  8, Batch    982, Loss  0.876238, Average Loss  0.868931, Time  0.263782
2021-09-16 13:52:49.135917 : Epoch  8, Batch    983, Loss  0.876386, Average Loss  0.869094, Time  0.263829
2021-09-16 13:52:52.083546 : Epoch  8, Batch    984, Loss  0.881314, Average Loss  0.869164, Time  0.264455
2021-09-16 13:52:55.041098 : Epoch  8, Batch    985, Loss  0.865780, Average Loss  0.869224, Time  0.273965
2021-09-16 13:52:57.955126 : Epoch  8, Batch    986, Loss  0.876369, Average Loss  0.869119, Time  0.264177
2021-09-16 13:53:00.939958 : Epoch  8, Batch    987, Loss  0.869915, Average Loss  0.869173, Time  0.264357
2021-09-16 13:53:03.934992 : Epoch  8, Batch    988, Loss  0.869134, Average Loss  0.869326, Time  0.265647
2021-09-16 13:53:06.898234 : Epoch  8, Batch    989, Loss  0.845604, Average Loss  0.869193, Time  0.263041
2021-09-16 13:53:09.863748 : Epoch  8, Batch    990, Loss  0.890143, Average Loss  0.869368, Time  0.264736
2021-09-16 13:53:12.855162 : Epoch  8, Batch    991, Loss  0.879279, Average Loss  0.869429, Time  0.264912
2021-09-16 13:53:15.804687 : Epoch  8, Batch    992, Loss  0.870237, Average Loss  0.869425, Time  0.264607
2021-09-16 13:53:18.794802 : Epoch  8, Batch    993, Loss  0.835114, Average Loss  0.869180, Time  0.263527
2021-09-16 13:53:21.763055 : Epoch  8, Batch    994, Loss  0.874487, Average Loss  0.869260, Time  0.266834
2021-09-16 13:53:24.713313 : Epoch  8, Batch    995, Loss  0.894266, Average Loss  0.869305, Time  0.264129
2021-09-16 13:53:27.706519 : Epoch  8, Batch    996, Loss  0.856040, Average Loss  0.869122, Time  0.264331
2021-09-16 13:53:30.691118 : Epoch  8, Batch    997, Loss  0.879911, Average Loss  0.869192, Time  0.264720
2021-09-16 13:53:33.643632 : Epoch  8, Batch    998, Loss  0.868029, Average Loss  0.869131, Time  0.264220
2021-09-16 13:53:36.591674 : Epoch  8, Batch    999, Loss  0.866065, Average Loss  0.869149, Time  0.264139
2021-09-16 13:53:39.577162 : Epoch  8, Batch   1000, Loss  0.862816, Average Loss  0.869125, Time  0.275371
2021-09-16 13:53:42.535739 : Epoch  8, Batch   1001, Loss  0.864057, Average Loss  0.869141, Time  0.264494
2021-09-16 13:53:45.519286 : Epoch  8, Batch   1002, Loss  0.858551, Average Loss  0.869131, Time  0.265276
2021-09-16 13:53:48.487113 : Epoch  8, Batch   1003, Loss  0.889833, Average Loss  0.869275, Time  0.265008
2021-09-16 13:53:51.477717 : Epoch  8, Batch   1004, Loss  0.890787, Average Loss  0.869407, Time  0.264876
2021-09-16 13:53:54.458814 : Epoch  8, Batch   1005, Loss  0.851948, Average Loss  0.869315, Time  0.264817
2021-09-16 13:53:57.415841 : Epoch  8, Batch   1006, Loss  0.857641, Average Loss  0.869207, Time  0.264536
2021-09-16 13:54:00.373789 : Epoch  8, Batch   1007, Loss  0.868229, Average Loss  0.869140, Time  0.263740
2021-09-16 13:54:09.027477 : Epoch  8, Batch   1008, Loss  0.863402, Average Loss  0.869092, Time  0.265989
2021-09-16 13:55:22.582688 : CheckPoint: Validation Loss  0.00029792, Best Loss  0.00029207
2021-09-16 13:55:25.199897 : Epoch  6, Batch   1321, Loss  0.866029, Average Loss  0.869905, Time  0.271023
2021-09-16 13:55:27.790745 : Epoch  6, Batch   1322, Loss  0.851789, Average Loss  0.869815, Time  0.244704
2021-09-16 13:55:30.370792 : Epoch  6, Batch   1323, Loss  0.847938, Average Loss  0.869744, Time  0.238353
2021-09-16 13:55:32.952390 : Epoch  6, Batch   1324, Loss  0.864734, Average Loss  0.869688, Time  0.238925
2021-09-16 13:55:35.535077 : Epoch  6, Batch   1325, Loss  0.845899, Average Loss  0.869545, Time  0.238347
2021-09-16 13:55:38.113814 : Epoch  6, Batch   1326, Loss  0.855794, Average Loss  0.869372, Time  0.238998
2021-09-16 13:55:40.699857 : Epoch  6, Batch   1327, Loss  0.867869, Average Loss  0.869314, Time  0.239047
2021-09-16 13:55:43.269482 : Epoch  6, Batch   1328, Loss  0.860711, Average Loss  0.869237, Time  0.238535
2021-09-16 13:55:45.850991 : Epoch  6, Batch   1329, Loss  0.861298, Average Loss  0.869254, Time  0.238046
2021-09-16 13:55:48.430796 : Epoch  6, Batch   1330, Loss  0.861169, Average Loss  0.869224, Time  0.239282
2021-09-16 13:55:51.026805 : Epoch  6, Batch   1331, Loss  0.835652, Average Loss  0.869081, Time  0.239304
2021-09-16 13:55:53.614135 : Epoch  6, Batch   1332, Loss  0.862676, Average Loss  0.868993, Time  0.238112
2021-09-16 13:55:56.229995 : Epoch  6, Batch   1333, Loss  0.872027, Average Loss  0.868965, Time  0.239362
2021-09-16 13:55:58.878130 : Epoch  6, Batch   1334, Loss  0.876905, Average Loss  0.868952, Time  0.238271
2021-09-16 13:56:01.462031 : Epoch  6, Batch   1335, Loss  0.893430, Average Loss  0.869111, Time  0.238840
2021-09-16 13:56:04.045196 : Epoch  6, Batch   1336, Loss  0.878428, Average Loss  0.869022, Time  0.238925
2021-09-16 13:56:06.622192 : Epoch  6, Batch   1337, Loss  0.874403, Average Loss  0.869101, Time  0.238588
2021-09-16 13:56:09.204004 : Epoch  6, Batch   1338, Loss  0.887450, Average Loss  0.869197, Time  0.238438
2021-09-16 13:56:11.794915 : Epoch  6, Batch   1339, Loss  0.852213, Average Loss  0.868955, Time  0.238919
2021-09-16 13:56:14.389133 : Epoch  6, Batch   1340, Loss  0.860719, Average Loss  0.868903, Time  0.238362
2021-09-16 13:56:16.963795 : Epoch  6, Batch   1341, Loss  0.877565, Average Loss  0.868968, Time  0.238649
2021-09-16 13:56:19.539384 : Epoch  6, Batch   1342, Loss  0.865555, Average Loss  0.869017, Time  0.238265
2021-09-16 13:56:22.112972 : Epoch  6, Batch   1343, Loss  0.849743, Average Loss  0.868871, Time  0.238532
2021-09-16 13:56:24.699721 : Epoch  6, Batch   1344, Loss  0.868206, Average Loss  0.868924, Time  0.238689
2021-09-16 13:56:27.277870 : Epoch  6, Batch   1345, Loss  0.872238, Average Loss  0.868968, Time  0.238337
2021-09-16 13:56:29.862121 : Epoch  6, Batch   1346, Loss  0.861196, Average Loss  0.869056, Time  0.238054
2021-09-16 13:56:32.439883 : Epoch  6, Batch   1347, Loss  0.861398, Average Loss  0.869030, Time  0.238559
2021-09-16 13:56:35.022845 : Epoch  6, Batch   1348, Loss  0.880289, Average Loss  0.869115, Time  0.238121
2021-09-16 13:56:37.608899 : Epoch  6, Batch   1349, Loss  0.854901, Average Loss  0.869045, Time  0.238731
2021-09-16 13:56:40.188115 : Epoch  6, Batch   1350, Loss  0.877463, Average Loss  0.869061, Time  0.238122
2021-09-16 13:56:42.762839 : Epoch  6, Batch   1351, Loss  0.849040, Average Loss  0.868900, Time  0.238054
2021-09-16 13:56:45.351079 : Epoch  6, Batch   1352, Loss  0.865203, Average Loss  0.868917, Time  0.238795
2021-09-16 13:56:47.931792 : Epoch  6, Batch   1353, Loss  0.847675, Average Loss  0.868788, Time  0.237968
2021-09-16 13:56:50.506727 : Epoch  6, Batch   1354, Loss  0.880057, Average Loss  0.868720, Time  0.238275
2021-09-16 13:56:53.103976 : Epoch  6, Batch   1355, Loss  0.881984, Average Loss  0.868731, Time  0.238097
2021-09-16 13:56:55.681882 : Epoch  6, Batch   1356, Loss  0.874278, Average Loss  0.868743, Time  0.238262
2021-09-16 13:56:58.268987 : Epoch  6, Batch   1357, Loss  0.866995, Average Loss  0.868689, Time  0.239289
2021-09-16 13:57:00.861975 : Epoch  6, Batch   1358, Loss  0.856167, Average Loss  0.868707, Time  0.238511
2021-09-16 13:57:03.480154 : Epoch  6, Batch   1359, Loss  0.871137, Average Loss  0.868722, Time  0.239555
2021-09-16 13:57:06.068108 : Epoch  6, Batch   1360, Loss  0.857628, Average Loss  0.868629, Time  0.238795
2021-09-16 13:57:08.653784 : Epoch  6, Batch   1361, Loss  0.879638, Average Loss  0.868631, Time  0.238445
2021-09-16 13:57:11.251141 : Epoch  6, Batch   1362, Loss  0.894609, Average Loss  0.868823, Time  0.239209
2021-09-16 13:57:13.835925 : Epoch  6, Batch   1363, Loss  0.882145, Average Loss  0.868847, Time  0.238656
2021-09-16 13:57:16.418716 : Epoch  6, Batch   1364, Loss  0.860959, Average Loss  0.868798, Time  0.238187
2021-09-16 13:57:18.988865 : Epoch  6, Batch   1365, Loss  0.871130, Average Loss  0.868818, Time  0.238109
2021-09-16 13:57:21.598025 : Epoch  6, Batch   1366, Loss  0.871690, Average Loss  0.868846, Time  0.238490
2021-09-16 13:57:24.170800 : Epoch  6, Batch   1367, Loss  0.881700, Average Loss  0.868873, Time  0.238123
2021-09-16 13:57:26.759727 : Epoch  6, Batch   1368, Loss  0.862226, Average Loss  0.868919, Time  0.238335
2021-09-16 13:57:29.338758 : Epoch  6, Batch   1369, Loss  0.897128, Average Loss  0.869007, Time  0.238053
2021-09-16 13:57:31.928181 : Epoch  6, Batch   1370, Loss  0.872846, Average Loss  0.869023, Time  0.238240
2021-09-16 13:57:34.506885 : Epoch  6, Batch   1371, Loss  0.876218, Average Loss  0.869133, Time  0.238930
2021-09-16 13:57:37.095808 : Epoch  6, Batch   1372, Loss  0.881551, Average Loss  0.869205, Time  0.238204
2021-09-16 13:57:39.677707 : Epoch  6, Batch   1373, Loss  0.868220, Average Loss  0.869181, Time  0.238636
2021-09-16 13:57:42.266162 : Epoch  6, Batch   1374, Loss  0.870027, Average Loss  0.869219, Time  0.239004
2021-09-16 13:57:44.845912 : Epoch  6, Batch   1375, Loss  0.880341, Average Loss  0.869277, Time  0.238350
2021-09-16 13:57:47.432821 : Epoch  6, Batch   1376, Loss  0.869942, Average Loss  0.869272, Time  0.238879
2021-09-16 13:57:50.006920 : Epoch  6, Batch   1377, Loss  0.862136, Average Loss  0.869135, Time  0.238397
2021-09-16 13:57:52.594162 : Epoch  6, Batch   1378, Loss  0.839768, Average Loss  0.869104, Time  0.238993
2021-09-16 13:57:55.170783 : Epoch  6, Batch   1379, Loss  0.865223, Average Loss  0.868965, Time  0.238418
2021-09-16 13:57:57.757911 : Epoch  6, Batch   1380, Loss  0.866101, Average Loss  0.868943, Time  0.239473
2021-09-16 13:58:00.332957 : Epoch  6, Batch   1381, Loss  0.849281, Average Loss  0.868864, Time  0.238345
2021-09-16 13:58:02.913127 : Epoch  6, Batch   1382, Loss  0.884761, Average Loss  0.868961, Time  0.238957
2021-09-16 13:58:05.493783 : Epoch  6, Batch   1383, Loss  0.866512, Average Loss  0.869064, Time  0.238864
2021-09-16 13:58:08.066088 : Epoch  6, Batch   1384, Loss  0.854147, Average Loss  0.868958, Time  0.238526
2021-09-16 13:58:10.643434 : Epoch  6, Batch   1385, Loss  0.856557, Average Loss  0.868933, Time  0.238291
2021-09-16 13:58:13.221110 : Epoch  6, Batch   1386, Loss  0.887075, Average Loss  0.869082, Time  0.238212
2021-09-16 13:58:15.790300 : Epoch  6, Batch   1387, Loss  0.870610, Average Loss  0.869182, Time  0.238126
2021-09-16 13:58:18.356873 : Epoch  6, Batch   1388, Loss  0.860282, Average Loss  0.869160, Time  0.238283
2021-09-16 13:58:20.928752 : Epoch  6, Batch   1389, Loss  0.859016, Average Loss  0.869049, Time  0.238357
2021-09-16 13:58:23.495106 : Epoch  6, Batch   1390, Loss  0.875089, Average Loss  0.869035, Time  0.238805
2021-09-16 13:58:26.074855 : Epoch  6, Batch   1391, Loss  0.864408, Average Loss  0.868993, Time  0.238040
2021-09-16 13:58:28.647784 : Epoch  6, Batch   1392, Loss  0.899626, Average Loss  0.869047, Time  0.238060
2021-09-16 13:58:31.214998 : Epoch  6, Batch   1393, Loss  0.877572, Average Loss  0.869044, Time  0.238206
2021-09-16 13:58:33.780118 : Epoch  6, Batch   1394, Loss  0.848342, Average Loss  0.869006, Time  0.238137
2021-09-16 13:58:36.348123 : Epoch  6, Batch   1395, Loss  0.862865, Average Loss  0.868956, Time  0.238117
2021-09-16 13:58:38.918124 : Epoch  6, Batch   1396, Loss  0.854570, Average Loss  0.868813, Time  0.238028
2021-09-16 13:58:41.494849 : Epoch  6, Batch   1397, Loss  0.848833, Average Loss  0.868807, Time  0.238450
2021-09-16 13:58:43.728458 : CheckPoint: Validation Loss  0.00030400, Best Loss  0.00029295
2021-09-16 13:58:44.066918 : Epoch  6, Batch   1398, Loss  0.855049, Average Loss  0.868795, Time  0.238548
2021-09-16 13:58:46.628777 : Epoch  6, Batch   1399, Loss  0.870807, Average Loss  0.868790, Time  0.238057
2021-09-16 13:58:46.693638 : Epoch  8, Batch   1009, Loss  0.857798, Average Loss  0.869032, Time  0.264854
2021-09-16 13:58:49.193857 : Epoch  6, Batch   1400, Loss  0.889816, Average Loss  0.868935, Time  0.238237
2021-09-16 13:58:49.680594 : Epoch  8, Batch   1010, Loss  0.861528, Average Loss  0.868930, Time  0.264931
2021-09-16 13:58:51.757216 : Epoch  6, Batch   1401, Loss  0.858917, Average Loss  0.868836, Time  0.238132
2021-09-16 13:58:52.664708 : Epoch  8, Batch   1011, Loss  0.867275, Average Loss  0.868882, Time  0.265148
2021-09-16 13:58:54.319904 : Epoch  6, Batch   1402, Loss  0.861585, Average Loss  0.868786, Time  0.238117
2021-09-16 13:58:55.727974 : Epoch  8, Batch   1012, Loss  0.878242, Average Loss  0.868919, Time  0.265720
2021-09-16 13:58:56.903967 : Epoch  6, Batch   1403, Loss  0.873139, Average Loss  0.868718, Time  0.238238
2021-09-16 13:58:58.784372 : Epoch  8, Batch   1013, Loss  0.867138, Average Loss  0.868737, Time  0.266722
2021-09-16 13:58:59.488725 : Epoch  6, Batch   1404, Loss  0.865562, Average Loss  0.868634, Time  0.239059
2021-09-16 13:59:01.782537 : Epoch  8, Batch   1014, Loss  0.845065, Average Loss  0.868690, Time  0.264065
2021-09-16 13:59:02.060925 : Epoch  6, Batch   1405, Loss  0.873051, Average Loss  0.868733, Time  0.238169
2021-09-16 13:59:04.627909 : Epoch  6, Batch   1406, Loss  0.866230, Average Loss  0.868664, Time  0.239279
2021-09-16 13:59:04.752550 : Epoch  8, Batch   1015, Loss  0.885062, Average Loss  0.868786, Time  0.264043
2021-09-16 13:59:07.211094 : Epoch  6, Batch   1407, Loss  0.871760, Average Loss  0.868657, Time  0.238402
2021-09-16 13:59:07.732461 : Epoch  8, Batch   1016, Loss  0.889494, Average Loss  0.868914, Time  0.275586
2021-09-16 13:59:09.790955 : Epoch  6, Batch   1408, Loss  0.868796, Average Loss  0.868579, Time  0.238417
2021-09-16 13:59:10.719325 : Epoch  8, Batch   1017, Loss  0.855986, Average Loss  0.868826, Time  0.265244
2021-09-16 13:59:12.373894 : Epoch  6, Batch   1409, Loss  0.879765, Average Loss  0.868617, Time  0.238841
2021-09-16 13:59:13.714329 : Epoch  8, Batch   1018, Loss  0.865450, Average Loss  0.868762, Time  0.265058
2021-09-16 13:59:14.947965 : Epoch  6, Batch   1410, Loss  0.885871, Average Loss  0.868619, Time  0.238460
2021-09-16 13:59:16.683922 : Epoch  8, Batch   1019, Loss  0.857688, Average Loss  0.868617, Time  0.264461
2021-09-16 13:59:17.529860 : Epoch  6, Batch   1411, Loss  0.857179, Average Loss  0.868510, Time  0.238846
2021-09-16 13:59:19.712755 : Epoch  8, Batch   1020, Loss  0.845102, Average Loss  0.868400, Time  0.265584
2021-09-16 13:59:20.114891 : Epoch  6, Batch   1412, Loss  0.855603, Average Loss  0.868405, Time  0.238103
2021-09-16 13:59:22.677884 : Epoch  6, Batch   1413, Loss  0.863178, Average Loss  0.868352, Time  0.238999
2021-09-16 13:59:22.711863 : Epoch  8, Batch   1021, Loss  0.848013, Average Loss  0.868291, Time  0.264323
2021-09-16 13:59:25.249885 : Epoch  6, Batch   1414, Loss  0.876949, Average Loss  0.868423, Time  0.238028
2021-09-16 13:59:25.766898 : Epoch  8, Batch   1022, Loss  0.858765, Average Loss  0.868223, Time  0.266284
2021-09-16 13:59:27.826962 : Epoch  6, Batch   1415, Loss  0.873815, Average Loss  0.868548, Time  0.237944
2021-09-16 13:59:28.805492 : Epoch  8, Batch   1023, Loss  0.843413, Average Loss  0.867966, Time  0.263230
2021-09-16 13:59:30.405916 : Epoch  6, Batch   1416, Loss  0.867205, Average Loss  0.868463, Time  0.238204
2021-09-16 13:59:31.761004 : Epoch  8, Batch   1024, Loss  0.874439, Average Loss  0.868013, Time  0.264400
2021-09-16 13:59:32.989952 : Epoch  6, Batch   1417, Loss  0.873290, Average Loss  0.868386, Time  0.238122
2021-09-16 13:59:34.756309 : Epoch  8, Batch   1025, Loss  0.863950, Average Loss  0.867930, Time  0.265138
2021-09-16 13:59:35.570002 : Epoch  6, Batch   1418, Loss  0.863626, Average Loss  0.868328, Time  0.238150
2021-09-16 13:59:37.724366 : Epoch  8, Batch   1026, Loss  0.865890, Average Loss  0.867957, Time  0.264117
2021-09-16 13:59:38.142081 : Epoch  6, Batch   1419, Loss  0.856009, Average Loss  0.868222, Time  0.237890
2021-09-16 13:59:40.677496 : Epoch  8, Batch   1027, Loss  0.888406, Average Loss  0.868136, Time  0.263647
2021-09-16 13:59:40.706944 : Epoch  6, Batch   1420, Loss  0.850306, Average Loss  0.868154, Time  0.237801
2021-09-16 13:59:43.637670 : Epoch  8, Batch   1028, Loss  0.894752, Average Loss  0.868285, Time  0.263879
2021-09-16 13:59:46.601241 : Epoch  8, Batch   1029, Loss  0.862279, Average Loss  0.868339, Time  0.264574
2021-09-16 13:59:49.556840 : Epoch  8, Batch   1030, Loss  0.862418, Average Loss  0.868332, Time  0.263713
2021-09-16 13:59:52.531076 : Epoch  8, Batch   1031, Loss  0.886603, Average Loss  0.868310, Time  0.272083
2021-09-16 13:59:55.556758 : Epoch  8, Batch   1032, Loss  0.882802, Average Loss  0.868403, Time  0.264136
2021-09-16 13:59:58.535397 : Epoch  8, Batch   1033, Loss  0.876025, Average Loss  0.868451, Time  0.265390
2021-09-16 14:00:01.520371 : Epoch  8, Batch   1034, Loss  0.879009, Average Loss  0.868425, Time  0.264514
2021-09-16 14:00:04.496287 : Epoch  8, Batch   1035, Loss  0.871474, Average Loss  0.868495, Time  0.264448
2021-09-16 14:00:07.505794 : Epoch  8, Batch   1036, Loss  0.869538, Average Loss  0.868466, Time  0.264706
2021-09-16 14:00:10.456719 : Epoch  8, Batch   1037, Loss  0.852030, Average Loss  0.868450, Time  0.263564
2021-09-16 14:00:13.439576 : Epoch  8, Batch   1038, Loss  0.859149, Average Loss  0.868528, Time  0.263754
2021-09-16 14:00:16.442951 : Epoch  8, Batch   1039, Loss  0.842505, Average Loss  0.868381, Time  0.265329
2021-09-16 14:00:19.427176 : Epoch  8, Batch   1040, Loss  0.865118, Average Loss  0.868367, Time  0.264338
2021-09-16 14:00:22.403502 : Epoch  8, Batch   1041, Loss  0.853016, Average Loss  0.868247, Time  0.263913
2021-09-16 14:00:25.348113 : Epoch  8, Batch   1042, Loss  0.869322, Average Loss  0.868209, Time  0.264148
2021-09-16 14:00:28.313668 : Epoch  8, Batch   1043, Loss  0.875365, Average Loss  0.868234, Time  0.264361
2021-09-16 14:00:31.304138 : Epoch  8, Batch   1044, Loss  0.866945, Average Loss  0.868220, Time  0.264212
2021-09-16 14:00:34.277722 : Epoch  8, Batch   1045, Loss  0.846208, Average Loss  0.867953, Time  0.264303
2021-09-16 14:00:37.255481 : Epoch  8, Batch   1046, Loss  0.892190, Average Loss  0.868137, Time  0.276245
2021-09-16 14:00:40.238069 : Epoch  8, Batch   1047, Loss  0.868904, Average Loss  0.868177, Time  0.264717
2021-09-16 14:00:43.199049 : Epoch  8, Batch   1048, Loss  0.860069, Average Loss  0.868115, Time  0.264139
2021-09-16 14:00:46.150851 : Epoch  8, Batch   1049, Loss  0.894930, Average Loss  0.868293, Time  0.263958
2021-09-16 14:00:49.116733 : Epoch  8, Batch   1050, Loss  0.863855, Average Loss  0.868223, Time  0.264258
2021-09-16 14:00:52.086596 : Epoch  8, Batch   1051, Loss  0.864575, Average Loss  0.868173, Time  0.264527
2021-09-16 14:00:55.043089 : Epoch  8, Batch   1052, Loss  0.849032, Average Loss  0.868054, Time  0.263708
2021-09-16 14:00:57.998555 : Epoch  8, Batch   1053, Loss  0.866696, Average Loss  0.868055, Time  0.264584
2021-09-16 14:01:01.000930 : Epoch  8, Batch   1054, Loss  0.876795, Average Loss  0.868078, Time  0.266603
2021-09-16 14:01:03.976064 : Epoch  8, Batch   1055, Loss  0.881900, Average Loss  0.868142, Time  0.264714
2021-09-16 14:01:06.968920 : Epoch  8, Batch   1056, Loss  0.856462, Average Loss  0.868074, Time  0.264905
2021-09-16 14:01:09.939104 : Epoch  8, Batch   1057, Loss  0.870958, Average Loss  0.868035, Time  0.264689
2021-09-16 14:01:12.917444 : Epoch  8, Batch   1058, Loss  0.879627, Average Loss  0.868039, Time  0.263889
2021-09-16 14:01:15.873692 : Epoch  8, Batch   1059, Loss  0.861897, Average Loss  0.867902, Time  0.264132
2021-09-16 14:01:18.853004 : Epoch  8, Batch   1060, Loss  0.850444, Average Loss  0.867773, Time  0.264943
2021-09-16 14:01:21.856392 : Epoch  8, Batch   1061, Loss  0.889670, Average Loss  0.867775, Time  0.265437
2021-09-16 14:01:24.827658 : Epoch  8, Batch   1062, Loss  0.873817, Average Loss  0.867844, Time  0.277565
2021-09-16 14:01:27.801664 : Epoch  8, Batch   1063, Loss  0.866981, Average Loss  0.867851, Time  0.265230
2021-09-16 14:01:30.763527 : Epoch  8, Batch   1064, Loss  0.881727, Average Loss  0.867928, Time  0.264582
2021-09-16 14:01:33.715402 : Epoch  8, Batch   1065, Loss  0.881528, Average Loss  0.867959, Time  0.263723
2021-09-16 14:01:36.671723 : Epoch  8, Batch   1066, Loss  0.879416, Average Loss  0.868010, Time  0.264281
2021-09-16 14:01:39.636907 : Epoch  8, Batch   1067, Loss  0.854264, Average Loss  0.868023, Time  0.265245
2021-09-16 14:01:42.601776 : Epoch  8, Batch   1068, Loss  0.889559, Average Loss  0.868241, Time  0.263494
2021-09-16 14:01:45.555758 : Epoch  8, Batch   1069, Loss  0.877425, Average Loss  0.868150, Time  0.264064
2021-09-16 14:01:48.523992 : Epoch  8, Batch   1070, Loss  0.858547, Average Loss  0.868006, Time  0.264740
2021-09-16 14:01:51.481960 : Epoch  8, Batch   1071, Loss  0.858403, Average Loss  0.867919, Time  0.264462
2021-09-16 14:01:54.481474 : Epoch  8, Batch   1072, Loss  0.856612, Average Loss  0.867985, Time  0.264620
2021-09-16 14:01:57.484415 : Epoch  8, Batch   1073, Loss  0.869684, Average Loss  0.867906, Time  0.264680
2021-09-16 14:02:00.484844 : Epoch  8, Batch   1074, Loss  0.884152, Average Loss  0.868045, Time  0.265639
2021-09-16 14:02:03.481510 : Epoch  8, Batch   1075, Loss  0.869965, Average Loss  0.868034, Time  0.264126
2021-09-16 14:02:06.481381 : Epoch  8, Batch   1076, Loss  0.877027, Average Loss  0.868128, Time  0.264534
2021-09-16 14:02:09.456426 : Epoch  8, Batch   1077, Loss  0.881192, Average Loss  0.868156, Time  0.274998
2021-09-16 14:02:12.440400 : Epoch  8, Batch   1078, Loss  0.867105, Average Loss  0.868224, Time  0.264790
2021-09-16 14:02:15.405820 : Epoch  8, Batch   1079, Loss  0.886495, Average Loss  0.868398, Time  0.264869
2021-09-16 14:02:18.385969 : Epoch  8, Batch   1080, Loss  0.850611, Average Loss  0.868117, Time  0.265152
2021-09-16 14:02:21.376515 : Epoch  8, Batch   1081, Loss  0.885357, Average Loss  0.868126, Time  0.264929
2021-09-16 14:02:24.369635 : Epoch  8, Batch   1082, Loss  0.879883, Average Loss  0.868218, Time  0.264242
2021-09-16 14:02:27.377610 : Epoch  8, Batch   1083, Loss  0.873625, Average Loss  0.868239, Time  0.265400
2021-09-16 14:02:30.340327 : Epoch  8, Batch   1084, Loss  0.846503, Average Loss  0.868153, Time  0.265492
2021-09-16 14:02:33.317950 : Epoch  8, Batch   1085, Loss  0.855382, Average Loss  0.868197, Time  0.264220
2021-09-16 14:02:36.300093 : Epoch  8, Batch   1086, Loss  0.864195, Average Loss  0.868161, Time  0.264851
2021-09-16 14:02:39.297468 : Epoch  8, Batch   1087, Loss  0.868131, Average Loss  0.868064, Time  0.264462
2021-09-16 14:02:42.256377 : Epoch  8, Batch   1088, Loss  0.878965, Average Loss  0.868126, Time  0.264785
2021-09-16 14:02:45.231731 : Epoch  8, Batch   1089, Loss  0.888119, Average Loss  0.868259, Time  0.264686
2021-09-16 14:02:48.213857 : Epoch  8, Batch   1090, Loss  0.888124, Average Loss  0.868370, Time  0.263774
2021-09-16 14:02:51.179608 : Epoch  8, Batch   1091, Loss  0.872434, Average Loss  0.868461, Time  0.264617
2021-09-16 14:02:54.154422 : Epoch  8, Batch   1092, Loss  0.863653, Average Loss  0.868393, Time  0.263691
2021-09-16 14:02:57.133019 : Epoch  8, Batch   1093, Loss  0.861284, Average Loss  0.868348, Time  0.277165
2021-09-16 14:03:00.108342 : Epoch  8, Batch   1094, Loss  0.869123, Average Loss  0.868435, Time  0.264281
2021-09-16 14:03:03.104270 : Epoch  8, Batch   1095, Loss  0.870422, Average Loss  0.868459, Time  0.264965
2021-09-16 14:03:06.112433 : Epoch  8, Batch   1096, Loss  0.876224, Average Loss  0.868636, Time  0.264339
2021-09-16 14:03:09.097782 : Epoch  8, Batch   1097, Loss  0.888865, Average Loss  0.868789, Time  0.265802
2021-09-16 14:03:12.130467 : Epoch  8, Batch   1098, Loss  0.856048, Average Loss  0.868703, Time  0.267040
2021-09-16 14:03:15.201936 : Epoch  8, Batch   1099, Loss  0.847149, Average Loss  0.868512, Time  0.266377
2021-09-16 14:03:18.272743 : Epoch  8, Batch   1100, Loss  0.877389, Average Loss  0.868609, Time  0.266486
2021-09-16 14:03:21.343672 : Epoch  8, Batch   1101, Loss  0.866255, Average Loss  0.868683, Time  0.266637
2021-09-16 14:03:24.421733 : Epoch  8, Batch   1102, Loss  0.868227, Average Loss  0.868736, Time  0.266296
2021-09-16 14:03:27.489504 : Epoch  8, Batch   1103, Loss  0.879321, Average Loss  0.868734, Time  0.267006
2021-09-16 14:03:30.579525 : Epoch  8, Batch   1104, Loss  0.874219, Average Loss  0.868830, Time  0.266962
2021-09-16 14:03:33.624404 : Epoch  8, Batch   1105, Loss  0.865537, Average Loss  0.868831, Time  0.266057
2021-09-16 14:03:36.666941 : Epoch  8, Batch   1106, Loss  0.854079, Average Loss  0.868755, Time  0.265427
2021-09-16 14:03:39.742924 : Epoch  8, Batch   1107, Loss  0.847535, Average Loss  0.868682, Time  0.266922
2021-09-16 14:03:41.947704 : CheckPoint: Validation Loss  0.00030676, Best Loss  0.00029207
2021-09-16 14:03:42.803325 : Epoch  8, Batch   1108, Loss  0.855283, Average Loss  0.868663, Time  0.276218
2021-09-16 14:03:44.528152 : Epoch  6, Batch   1421, Loss  0.853777, Average Loss  0.868080, Time  0.240546
2021-09-16 14:03:47.128021 : Epoch  6, Batch   1422, Loss  0.881698, Average Loss  0.868146, Time  0.239390
2021-09-16 14:03:49.794300 : Epoch  6, Batch   1423, Loss  0.836159, Average Loss  0.867964, Time  0.263901
2021-09-16 14:03:52.394966 : Epoch  6, Batch   1424, Loss  0.847462, Average Loss  0.867836, Time  0.238193
2021-09-16 14:03:54.970114 : Epoch  6, Batch   1425, Loss  0.877875, Average Loss  0.867819, Time  0.238453
2021-09-16 14:03:57.547995 : Epoch  6, Batch   1426, Loss  0.890153, Average Loss  0.867908, Time  0.238639
2021-09-16 14:04:00.119728 : Epoch  6, Batch   1427, Loss  0.863290, Average Loss  0.867880, Time  0.238486
2021-09-16 14:04:02.702236 : Epoch  6, Batch   1428, Loss  0.876851, Average Loss  0.867877, Time  0.238598
2021-09-16 14:04:05.276955 : Epoch  6, Batch   1429, Loss  0.869267, Average Loss  0.867898, Time  0.238398
2021-09-16 14:04:07.852198 : Epoch  6, Batch   1430, Loss  0.856360, Average Loss  0.867818, Time  0.238519
2021-09-16 14:04:10.436693 : Epoch  6, Batch   1431, Loss  0.876138, Average Loss  0.867932, Time  0.237897
2021-09-16 14:04:13.015776 : Epoch  6, Batch   1432, Loss  0.891267, Average Loss  0.867945, Time  0.238245
2021-09-16 14:04:15.595962 : Epoch  6, Batch   1433, Loss  0.885433, Average Loss  0.868087, Time  0.238097
2021-09-16 14:04:18.182691 : Epoch  6, Batch   1434, Loss  0.882458, Average Loss  0.868131, Time  0.238357
2021-09-16 14:04:20.765097 : Epoch  6, Batch   1435, Loss  0.869285, Average Loss  0.868061, Time  0.238435
2021-09-16 14:04:23.511849 : Epoch  6, Batch   1436, Loss  0.851141, Average Loss  0.867966, Time  0.239120
2021-09-16 14:04:26.095712 : Epoch  6, Batch   1437, Loss  0.881181, Average Loss  0.868131, Time  0.238637
2021-09-16 14:04:28.687005 : Epoch  6, Batch   1438, Loss  0.887770, Average Loss  0.868163, Time  0.238789
2021-09-16 14:04:31.301226 : Epoch  6, Batch   1439, Loss  0.874698, Average Loss  0.868078, Time  0.238388
2021-09-16 14:04:33.898950 : Epoch  6, Batch   1440, Loss  0.888224, Average Loss  0.868121, Time  0.239629
2021-09-16 14:04:36.481875 : Epoch  6, Batch   1441, Loss  0.872560, Average Loss  0.868188, Time  0.238099
2021-09-16 14:04:39.072919 : Epoch  6, Batch   1442, Loss  0.875136, Average Loss  0.868254, Time  0.239734
2021-09-16 14:04:41.667126 : Epoch  6, Batch   1443, Loss  0.877587, Average Loss  0.868338, Time  0.238516
2021-09-16 14:04:44.242892 : Epoch  6, Batch   1444, Loss  0.876631, Average Loss  0.868372, Time  0.239048
2021-09-16 14:04:46.826988 : Epoch  6, Batch   1445, Loss  0.863919, Average Loss  0.868488, Time  0.238441
2021-09-16 14:04:49.406715 : Epoch  6, Batch   1446, Loss  0.863559, Average Loss  0.868352, Time  0.238519
2021-09-16 14:04:51.985707 : Epoch  6, Batch   1447, Loss  0.865108, Average Loss  0.868388, Time  0.238677
2021-09-16 14:04:54.559581 : Epoch  6, Batch   1448, Loss  0.891549, Average Loss  0.868438, Time  0.238348
2021-09-16 14:04:57.141203 : Epoch  6, Batch   1449, Loss  0.874443, Average Loss  0.868481, Time  0.238510
2021-09-16 14:04:59.722058 : Epoch  6, Batch   1450, Loss  0.853862, Average Loss  0.868516, Time  0.238289
2021-09-16 14:05:02.301055 : Epoch  6, Batch   1451, Loss  0.877192, Average Loss  0.868621, Time  0.238820
2021-09-16 14:05:04.898750 : Epoch  6, Batch   1452, Loss  0.866476, Average Loss  0.868578, Time  0.240588
2021-09-16 14:05:07.479903 : Epoch  6, Batch   1453, Loss  0.881567, Average Loss  0.868589, Time  0.238425
2021-09-16 14:05:10.056963 : Epoch  6, Batch   1454, Loss  0.833378, Average Loss  0.868387, Time  0.238220
2021-09-16 14:05:12.626853 : Epoch  6, Batch   1455, Loss  0.877928, Average Loss  0.868408, Time  0.238406
2021-09-16 14:05:15.204791 : Epoch  6, Batch   1456, Loss  0.870210, Average Loss  0.868457, Time  0.238825
2021-09-16 14:05:17.784141 : Epoch  6, Batch   1457, Loss  0.859717, Average Loss  0.868387, Time  0.238283
2021-09-16 14:05:20.355953 : Epoch  6, Batch   1458, Loss  0.861943, Average Loss  0.868475, Time  0.238302
2021-09-16 14:05:23.116819 : Epoch  6, Batch   1459, Loss  0.879974, Average Loss  0.868574, Time  0.238393
2021-09-16 14:05:25.689977 : Epoch  6, Batch   1460, Loss  0.848295, Average Loss  0.868476, Time  0.238493
2021-09-16 14:05:28.267862 : Epoch  6, Batch   1461, Loss  0.862578, Average Loss  0.868417, Time  0.237849
2021-09-16 14:05:30.854927 : Epoch  6, Batch   1462, Loss  0.883718, Average Loss  0.868462, Time  0.238360
2021-09-16 14:05:33.434918 : Epoch  6, Batch   1463, Loss  0.877833, Average Loss  0.868495, Time  0.239516
2021-09-16 14:05:36.031940 : Epoch  6, Batch   1464, Loss  0.884406, Average Loss  0.868659, Time  0.238174
2021-09-16 14:05:38.607971 : Epoch  6, Batch   1465, Loss  0.861469, Average Loss  0.868609, Time  0.239040
2021-09-16 14:05:41.184065 : Epoch  6, Batch   1466, Loss  0.855021, Average Loss  0.868435, Time  0.238990
2021-09-16 14:05:43.758977 : Epoch  6, Batch   1467, Loss  0.856252, Average Loss  0.868422, Time  0.238687
2021-09-16 14:05:46.339955 : Epoch  6, Batch   1468, Loss  0.879038, Average Loss  0.868446, Time  0.238959
2021-09-16 14:05:48.916968 : Epoch  6, Batch   1469, Loss  0.853689, Average Loss  0.868327, Time  0.238231
2021-09-16 14:05:51.515808 : Epoch  6, Batch   1470, Loss  0.852482, Average Loss  0.868194, Time  0.238840
2021-09-16 14:05:54.104878 : Epoch  6, Batch   1471, Loss  0.866406, Average Loss  0.868151, Time  0.238387
2021-09-16 14:05:56.693248 : Epoch  6, Batch   1472, Loss  0.866251, Average Loss  0.868136, Time  0.238545
2021-09-16 14:05:59.278839 : Epoch  6, Batch   1473, Loss  0.867798, Average Loss  0.868154, Time  0.238609
2021-09-16 14:06:01.847967 : Epoch  6, Batch   1474, Loss  0.856917, Average Loss  0.868038, Time  0.238157
2021-09-16 14:06:04.430146 : Epoch  6, Batch   1475, Loss  0.878971, Average Loss  0.868091, Time  0.238579
2021-09-16 14:06:07.024134 : Epoch  6, Batch   1476, Loss  0.849566, Average Loss  0.868004, Time  0.238520
2021-09-16 14:06:09.600902 : Epoch  6, Batch   1477, Loss  0.896363, Average Loss  0.868081, Time  0.238495
2021-09-16 14:06:12.168991 : Epoch  6, Batch   1478, Loss  0.899261, Average Loss  0.868402, Time  0.238050
2021-09-16 14:06:14.743870 : Epoch  6, Batch   1479, Loss  0.872828, Average Loss  0.868458, Time  0.238259
2021-09-16 14:06:17.331750 : Epoch  6, Batch   1480, Loss  0.847909, Average Loss  0.868348, Time  0.238221
2021-09-16 14:06:19.912806 : Epoch  6, Batch   1481, Loss  0.849542, Average Loss  0.868205, Time  0.238553
2021-09-16 14:06:22.495272 : Epoch  6, Batch   1482, Loss  0.879215, Average Loss  0.868413, Time  0.238263
2021-09-16 14:06:25.067039 : Epoch  6, Batch   1483, Loss  0.871455, Average Loss  0.868414, Time  0.238548
2021-09-16 14:06:27.642929 : Epoch  6, Batch   1484, Loss  0.864773, Average Loss  0.868423, Time  0.238460
2021-09-16 14:06:30.222313 : Epoch  6, Batch   1485, Loss  0.880881, Average Loss  0.868497, Time  0.238378
2021-09-16 14:06:32.803930 : Epoch  6, Batch   1486, Loss  0.874846, Average Loss  0.868532, Time  0.239362
2021-09-16 14:06:35.390209 : Epoch  6, Batch   1487, Loss  0.869945, Average Loss  0.868554, Time  0.238666
2021-09-16 14:06:37.973734 : Epoch  6, Batch   1488, Loss  0.849933, Average Loss  0.868473, Time  0.238281
2021-09-16 14:06:40.563938 : Epoch  6, Batch   1489, Loss  0.867447, Average Loss  0.868368, Time  0.239449
2021-09-16 14:06:43.153203 : Epoch  6, Batch   1490, Loss  0.869556, Average Loss  0.868412, Time  0.238586
2021-09-16 14:06:45.734888 : Epoch  6, Batch   1491, Loss  0.877940, Average Loss  0.868371, Time  0.238996
2021-09-16 14:06:48.313736 : Epoch  6, Batch   1492, Loss  0.872108, Average Loss  0.868423, Time  0.238814
2021-09-16 14:06:50.895987 : Epoch  6, Batch   1493, Loss  0.873649, Average Loss  0.868552, Time  0.238569
2021-09-16 14:06:53.471849 : Epoch  6, Batch   1494, Loss  0.876581, Average Loss  0.868632, Time  0.238633
2021-09-16 14:06:56.063024 : Epoch  6, Batch   1495, Loss  0.860869, Average Loss  0.868519, Time  0.238678
2021-09-16 14:06:58.652138 : Epoch  6, Batch   1496, Loss  0.863635, Average Loss  0.868451, Time  0.238214
2021-09-16 14:07:01.241214 : Epoch  6, Batch   1497, Loss  0.869605, Average Loss  0.868358, Time  0.238492
2021-09-16 14:07:03.828878 : Epoch  6, Batch   1498, Loss  0.873259, Average Loss  0.868353, Time  0.238549
2021-09-16 14:07:06.416912 : Epoch  6, Batch   1499, Loss  0.878682, Average Loss  0.868244, Time  0.238859
2021-09-16 14:07:08.999798 : Epoch  6, Batch   1500, Loss  0.882019, Average Loss  0.868298, Time  0.238325
2021-09-16 14:07:11.591149 : Epoch  6, Batch   1501, Loss  0.877725, Average Loss  0.868323, Time  0.238545
2021-09-16 14:07:14.167919 : Epoch  6, Batch   1502, Loss  0.881368, Average Loss  0.868450, Time  0.238486
2021-09-16 14:07:16.744968 : Epoch  6, Batch   1503, Loss  0.864548, Average Loss  0.868515, Time  0.238323
2021-09-16 14:07:19.330904 : Epoch  6, Batch   1504, Loss  0.867401, Average Loss  0.868483, Time  0.238109
2021-09-16 14:07:21.914868 : Epoch  6, Batch   1505, Loss  0.867774, Average Loss  0.868510, Time  0.238440
2021-09-16 14:07:24.503902 : Epoch  6, Batch   1506, Loss  0.882125, Average Loss  0.868529, Time  0.238488
2021-09-16 14:07:27.093638 : Epoch  6, Batch   1507, Loss  0.875935, Average Loss  0.868636, Time  0.238556
2021-09-16 14:07:29.676977 : Epoch  6, Batch   1508, Loss  0.879448, Average Loss  0.868751, Time  0.238293
2021-09-16 14:07:32.255181 : Epoch  6, Batch   1509, Loss  0.911524, Average Loss  0.868899, Time  0.238427
2021-09-16 14:07:34.846216 : Epoch  6, Batch   1510, Loss  0.869641, Average Loss  0.868748, Time  0.239161
2021-09-16 14:07:37.425960 : Epoch  6, Batch   1511, Loss  0.840441, Average Loss  0.868556, Time  0.238490
2021-09-16 14:07:40.017005 : Epoch  6, Batch   1512, Loss  0.857402, Average Loss  0.868544, Time  0.239032
2021-09-16 14:07:42.592919 : Epoch  6, Batch   1513, Loss  0.858877, Average Loss  0.868523, Time  0.238731
2021-09-16 14:07:45.171313 : Epoch  6, Batch   1514, Loss  0.885877, Average Loss  0.868628, Time  0.238678
2021-09-16 14:07:47.765849 : Epoch  6, Batch   1515, Loss  0.871269, Average Loss  0.868659, Time  0.239010
2021-09-16 14:07:50.360968 : Epoch  6, Batch   1516, Loss  0.852694, Average Loss  0.868557, Time  0.238719
2021-09-16 14:07:52.938229 : Epoch  6, Batch   1517, Loss  0.878007, Average Loss  0.868782, Time  0.238434
2021-09-16 14:07:55.517987 : Epoch  6, Batch   1518, Loss  0.859120, Average Loss  0.868617, Time  0.238412
2021-09-16 14:07:58.105285 : Epoch  6, Batch   1519, Loss  0.888407, Average Loss  0.868718, Time  0.238575
2021-09-16 14:08:00.684834 : Epoch  6, Batch   1520, Loss  0.842142, Average Loss  0.868622, Time  0.238762
2021-09-16 14:08:23.478811 : CheckPoint: Validation Loss  0.00031500, Best Loss  0.00029295
2021-09-16 14:08:26.549944 : Epoch  8, Batch   1109, Loss  0.860480, Average Loss  0.868637, Time  0.275029
2021-09-16 14:08:29.622787 : Epoch  8, Batch   1110, Loss  0.873354, Average Loss  0.868594, Time  0.265033
2021-09-16 14:08:32.673400 : Epoch  8, Batch   1111, Loss  0.875405, Average Loss  0.868750, Time  0.265432
2021-09-16 14:08:35.724306 : Epoch  8, Batch   1112, Loss  0.861781, Average Loss  0.868668, Time  0.265267
2021-09-16 14:08:38.781659 : Epoch  8, Batch   1113, Loss  0.869448, Average Loss  0.868622, Time  0.264672
2021-09-16 14:08:41.837400 : Epoch  8, Batch   1114, Loss  0.874460, Average Loss  0.868607, Time  0.265021
2021-09-16 14:08:44.905043 : Epoch  8, Batch   1115, Loss  0.872521, Average Loss  0.868583, Time  0.265334
2021-09-16 14:08:47.965104 : Epoch  8, Batch   1116, Loss  0.864740, Average Loss  0.868566, Time  0.265374
2021-09-16 14:08:51.039237 : Epoch  8, Batch   1117, Loss  0.872160, Average Loss  0.868488, Time  0.264826
2021-09-16 14:08:54.088636 : Epoch  8, Batch   1118, Loss  0.888922, Average Loss  0.868570, Time  0.265623
2021-09-16 14:08:57.164277 : Epoch  8, Batch   1119, Loss  0.848401, Average Loss  0.868347, Time  0.264509
2021-09-16 14:09:00.229407 : Epoch  8, Batch   1120, Loss  0.869617, Average Loss  0.868272, Time  0.265542
2021-09-16 14:09:03.305799 : Epoch  8, Batch   1121, Loss  0.873882, Average Loss  0.868252, Time  0.265211
2021-09-16 14:09:06.373468 : Epoch  8, Batch   1122, Loss  0.859902, Average Loss  0.868137, Time  0.273189
2021-09-16 14:09:09.429766 : Epoch  8, Batch   1123, Loss  0.877528, Average Loss  0.868142, Time  0.265130
2021-09-16 14:09:12.502010 : Epoch  8, Batch   1124, Loss  0.882773, Average Loss  0.868215, Time  0.265131
2021-09-16 14:09:15.572955 : Epoch  8, Batch   1125, Loss  0.855811, Average Loss  0.868088, Time  0.265713
2021-09-16 14:09:18.628471 : Epoch  8, Batch   1126, Loss  0.869202, Average Loss  0.868102, Time  0.265059
2021-09-16 14:09:21.685443 : Epoch  8, Batch   1127, Loss  0.870266, Average Loss  0.868237, Time  0.264889
2021-09-16 14:09:24.733543 : Epoch  8, Batch   1128, Loss  0.884514, Average Loss  0.868375, Time  0.265584
2021-09-16 14:09:27.812672 : Epoch  8, Batch   1129, Loss  0.858003, Average Loss  0.868310, Time  0.264970
2021-09-16 14:09:30.862513 : Epoch  8, Batch   1130, Loss  0.861138, Average Loss  0.868372, Time  0.265453
2021-09-16 14:09:33.920403 : Epoch  8, Batch   1131, Loss  0.884429, Average Loss  0.868436, Time  0.265154
2021-09-16 14:09:36.977413 : Epoch  8, Batch   1132, Loss  0.861739, Average Loss  0.868442, Time  0.265205
2021-09-16 14:09:40.036016 : Epoch  8, Batch   1133, Loss  0.870372, Average Loss  0.868558, Time  0.265030
2021-09-16 14:09:43.085317 : Epoch  8, Batch   1134, Loss  0.890470, Average Loss  0.868602, Time  0.266081
2021-09-16 14:09:46.148811 : Epoch  8, Batch   1135, Loss  0.880757, Average Loss  0.868718, Time  0.265654
2021-09-16 14:09:49.205812 : Epoch  8, Batch   1136, Loss  0.855599, Average Loss  0.868614, Time  0.264922
2021-09-16 14:09:52.276552 : Epoch  8, Batch   1137, Loss  0.850277, Average Loss  0.868578, Time  0.276950
2021-09-16 14:09:55.341754 : Epoch  8, Batch   1138, Loss  0.876968, Average Loss  0.868648, Time  0.266145
2021-09-16 14:09:58.426829 : Epoch  8, Batch   1139, Loss  0.867744, Average Loss  0.868719, Time  0.264830
2021-09-16 14:10:01.497910 : Epoch  8, Batch   1140, Loss  0.855120, Average Loss  0.868715, Time  0.265320
2021-09-16 14:10:04.555334 : Epoch  8, Batch   1141, Loss  0.871401, Average Loss  0.868723, Time  0.265197
2021-09-16 14:10:07.621818 : Epoch  8, Batch   1142, Loss  0.882297, Average Loss  0.868770, Time  0.265233
2021-09-16 14:10:10.676959 : Epoch  8, Batch   1143, Loss  0.877525, Average Loss  0.868795, Time  0.266320
2021-09-16 14:10:13.737496 : Epoch  8, Batch   1144, Loss  0.873318, Average Loss  0.868772, Time  0.265456
2021-09-16 14:10:16.803248 : Epoch  8, Batch   1145, Loss  0.851998, Average Loss  0.868772, Time  0.265135
2021-09-16 14:10:19.856919 : Epoch  8, Batch   1146, Loss  0.865356, Average Loss  0.868670, Time  0.265015
2021-09-16 14:10:22.922746 : Epoch  8, Batch   1147, Loss  0.868527, Average Loss  0.868612, Time  0.265570
2021-09-16 14:10:25.986403 : Epoch  8, Batch   1148, Loss  0.857899, Average Loss  0.868623, Time  0.264642
2021-09-16 14:10:29.042334 : Epoch  8, Batch   1149, Loss  0.871467, Average Loss  0.868600, Time  0.265260
2021-09-16 14:10:32.100721 : Epoch  8, Batch   1150, Loss  0.848831, Average Loss  0.868538, Time  0.266378
2021-09-16 14:10:35.164269 : Epoch  8, Batch   1151, Loss  0.867292, Average Loss  0.868619, Time  0.268866
2021-09-16 14:10:38.257431 : Epoch  8, Batch   1152, Loss  0.896830, Average Loss  0.868706, Time  0.277260
2021-09-16 14:10:41.337289 : Epoch  8, Batch   1153, Loss  0.863134, Average Loss  0.868631, Time  0.265747
2021-09-16 14:10:44.398767 : Epoch  8, Batch   1154, Loss  0.845942, Average Loss  0.868532, Time  0.265703
2021-09-16 14:10:47.453892 : Epoch  8, Batch   1155, Loss  0.863318, Average Loss  0.868511, Time  0.265315
2021-09-16 14:10:50.506115 : Epoch  8, Batch   1156, Loss  0.872844, Average Loss  0.868493, Time  0.265331
2021-09-16 14:10:53.581898 : Epoch  8, Batch   1157, Loss  0.874397, Average Loss  0.868521, Time  0.265592
2021-09-16 14:10:56.636323 : Epoch  8, Batch   1158, Loss  0.849736, Average Loss  0.868497, Time  0.265521
2021-09-16 14:10:59.710002 : Epoch  8, Batch   1159, Loss  0.861059, Average Loss  0.868445, Time  0.265600
2021-09-16 14:11:02.764051 : Epoch  8, Batch   1160, Loss  0.884889, Average Loss  0.868415, Time  0.265283
2021-09-16 14:11:05.829200 : Epoch  8, Batch   1161, Loss  0.874860, Average Loss  0.868468, Time  0.265822
2021-09-16 14:11:08.875882 : Epoch  8, Batch   1162, Loss  0.880285, Average Loss  0.868544, Time  0.264706
2021-09-16 14:11:11.926956 : Epoch  8, Batch   1163, Loss  0.869425, Average Loss  0.868529, Time  0.264957
2021-09-16 14:11:14.997991 : Epoch  8, Batch   1164, Loss  0.852183, Average Loss  0.868453, Time  0.264834
2021-09-16 14:11:18.067256 : Epoch  8, Batch   1165, Loss  0.836359, Average Loss  0.868447, Time  0.265043
2021-09-16 14:11:21.150425 : Epoch  8, Batch   1166, Loss  0.847593, Average Loss  0.868333, Time  0.265025
2021-09-16 14:11:24.233929 : Epoch  8, Batch   1167, Loss  0.863171, Average Loss  0.868347, Time  0.273374
2021-09-16 14:11:27.313903 : Epoch  8, Batch   1168, Loss  0.865329, Average Loss  0.868348, Time  0.265530
2021-09-16 14:11:30.367607 : Epoch  8, Batch   1169, Loss  0.858723, Average Loss  0.868227, Time  0.264855
2021-09-16 14:11:33.491831 : Epoch  8, Batch   1170, Loss  0.860107, Average Loss  0.868145, Time  0.265497
2021-09-16 14:11:36.536305 : Epoch  8, Batch   1171, Loss  0.859750, Average Loss  0.868046, Time  0.264920
2021-09-16 14:11:39.593937 : Epoch  8, Batch   1172, Loss  0.852067, Average Loss  0.867970, Time  0.265229
2021-09-16 14:11:42.646290 : Epoch  8, Batch   1173, Loss  0.868201, Average Loss  0.867920, Time  0.265519
2021-09-16 14:11:45.712723 : Epoch  8, Batch   1174, Loss  0.859937, Average Loss  0.867864, Time  0.265193
2021-09-16 14:11:48.783930 : Epoch  8, Batch   1175, Loss  0.846426, Average Loss  0.867789, Time  0.265163
2021-09-16 14:11:51.857685 : Epoch  8, Batch   1176, Loss  0.859727, Average Loss  0.867851, Time  0.266527
2021-09-16 14:11:54.920935 : Epoch  8, Batch   1177, Loss  0.881939, Average Loss  0.868034, Time  0.265497
2021-09-16 14:11:57.977899 : Epoch  8, Batch   1178, Loss  0.881298, Average Loss  0.868051, Time  0.265218
2021-09-16 14:12:01.027268 : Epoch  8, Batch   1179, Loss  0.877334, Average Loss  0.868091, Time  0.265481
2021-09-16 14:12:03.025711 : CheckPoint: Validation Loss  0.00030830, Best Loss  0.00029207
2021-09-16 14:12:04.100855 : Epoch  8, Batch   1180, Loss  0.887247, Average Loss  0.868200, Time  0.264672
2021-09-16 14:12:05.635914 : Epoch  6, Batch   1521, Loss  0.860901, Average Loss  0.868597, Time  0.239299
2021-09-16 14:12:07.170278 : Epoch  8, Batch   1181, Loss  0.883024, Average Loss  0.868298, Time  0.265197
2021-09-16 14:12:08.246812 : Epoch  6, Batch   1522, Loss  0.878884, Average Loss  0.868732, Time  0.238221
2021-09-16 14:12:10.252362 : Epoch  8, Batch   1182, Loss  0.866589, Average Loss  0.868249, Time  0.279599
2021-09-16 14:12:10.864884 : Epoch  6, Batch   1523, Loss  0.854705, Average Loss  0.868766, Time  0.238411
2021-09-16 14:12:13.300926 : Epoch  8, Batch   1183, Loss  0.879039, Average Loss  0.868263, Time  0.266424
2021-09-16 14:12:13.476683 : Epoch  6, Batch   1524, Loss  0.891994, Average Loss  0.868902, Time  0.239582
2021-09-16 14:12:16.086700 : Epoch  6, Batch   1525, Loss  0.856658, Average Loss  0.868956, Time  0.238882
2021-09-16 14:12:16.378283 : Epoch  8, Batch   1184, Loss  0.874662, Average Loss  0.868229, Time  0.264886
2021-09-16 14:12:18.713287 : Epoch  6, Batch   1526, Loss  0.878011, Average Loss  0.869067, Time  0.239602
2021-09-16 14:12:19.444418 : Epoch  8, Batch   1185, Loss  0.851249, Average Loss  0.868157, Time  0.264916
2021-09-16 14:12:21.322617 : Epoch  6, Batch   1527, Loss  0.866529, Average Loss  0.869060, Time  0.238806
2021-09-16 14:12:22.526663 : Epoch  8, Batch   1186, Loss  0.848215, Average Loss  0.868016, Time  0.265635
2021-09-16 14:12:23.932117 : Epoch  6, Batch   1528, Loss  0.880397, Average Loss  0.869159, Time  0.238871
2021-09-16 14:12:25.607123 : Epoch  8, Batch   1187, Loss  0.844772, Average Loss  0.867890, Time  0.264908
2021-09-16 14:12:26.551652 : Epoch  6, Batch   1529, Loss  0.880124, Average Loss  0.869253, Time  0.239082
2021-09-16 14:12:28.683897 : Epoch  8, Batch   1188, Loss  0.877448, Average Loss  0.867932, Time  0.265472
2021-09-16 14:12:29.160442 : Epoch  6, Batch   1530, Loss  0.856324, Average Loss  0.869229, Time  0.238261
2021-09-16 14:12:31.762086 : Epoch  6, Batch   1531, Loss  0.876672, Average Loss  0.869434, Time  0.238500
2021-09-16 14:12:31.767927 : Epoch  8, Batch   1189, Loss  0.858082, Average Loss  0.867994, Time  0.265182
2021-09-16 14:12:34.377842 : Epoch  6, Batch   1532, Loss  0.842549, Average Loss  0.869333, Time  0.238425
2021-09-16 14:12:34.862231 : Epoch  8, Batch   1190, Loss  0.876892, Average Loss  0.867928, Time  0.264968
2021-09-16 14:12:36.984936 : Epoch  6, Batch   1533, Loss  0.876874, Average Loss  0.869357, Time  0.238433
2021-09-16 14:12:37.902372 : Epoch  8, Batch   1191, Loss  0.871121, Average Loss  0.867887, Time  0.264480
2021-09-16 14:12:39.597089 : Epoch  6, Batch   1534, Loss  0.875025, Average Loss  0.869348, Time  0.239215
2021-09-16 14:12:40.956436 : Epoch  8, Batch   1192, Loss  0.865839, Average Loss  0.867865, Time  0.265246
2021-09-16 14:12:42.248191 : Epoch  6, Batch   1535, Loss  0.878418, Average Loss  0.869273, Time  0.238158
2021-09-16 14:12:44.032782 : Epoch  8, Batch   1193, Loss  0.849923, Average Loss  0.867939, Time  0.266290
2021-09-16 14:12:44.874123 : Epoch  6, Batch   1536, Loss  0.864669, Average Loss  0.869204, Time  0.238647
2021-09-16 14:12:47.114139 : Epoch  8, Batch   1194, Loss  0.860709, Average Loss  0.867870, Time  0.265195
2021-09-16 14:12:47.483947 : Epoch  6, Batch   1537, Loss  0.875249, Average Loss  0.869208, Time  0.238644
2021-09-16 14:12:50.089602 : Epoch  6, Batch   1538, Loss  0.855023, Average Loss  0.869046, Time  0.238612
2021-09-16 14:12:50.183012 : Epoch  8, Batch   1195, Loss  0.880139, Average Loss  0.867800, Time  0.265414
2021-09-16 14:12:52.706917 : Epoch  6, Batch   1539, Loss  0.871348, Average Loss  0.869142, Time  0.238764
2021-09-16 14:12:53.286525 : Epoch  8, Batch   1196, Loss  0.858235, Average Loss  0.867811, Time  0.265261
2021-09-16 14:12:55.319987 : Epoch  6, Batch   1540, Loss  0.855562, Average Loss  0.869116, Time  0.238492
2021-09-16 14:12:56.359924 : Epoch  8, Batch   1197, Loss  0.872929, Average Loss  0.867776, Time  0.273500
2021-09-16 14:12:57.933032 : Epoch  6, Batch   1541, Loss  0.838533, Average Loss  0.868921, Time  0.238380
2021-09-16 14:12:59.417500 : Epoch  8, Batch   1198, Loss  0.845945, Average Loss  0.867665, Time  0.265496
2021-09-16 14:13:00.543167 : Epoch  6, Batch   1542, Loss  0.888102, Average Loss  0.869034, Time  0.238846
2021-09-16 14:13:02.484219 : Epoch  8, Batch   1199, Loss  0.869820, Average Loss  0.867684, Time  0.265228
2021-09-16 14:13:03.157733 : Epoch  6, Batch   1543, Loss  0.871092, Average Loss  0.869140, Time  0.238249
2021-09-16 14:13:05.551153 : Epoch  8, Batch   1200, Loss  0.878868, Average Loss  0.867764, Time  0.264777
2021-09-16 14:13:05.773268 : Epoch  6, Batch   1544, Loss  0.876842, Average Loss  0.869184, Time  0.238985
2021-09-16 14:13:08.375820 : Epoch  6, Batch   1545, Loss  0.868868, Average Loss  0.869167, Time  0.238731
2021-09-16 14:13:08.620400 : Epoch  8, Batch   1201, Loss  0.881912, Average Loss  0.867854, Time  0.265027
2021-09-16 14:13:11.003936 : Epoch  6, Batch   1546, Loss  0.873246, Average Loss  0.869227, Time  0.238831
2021-09-16 14:13:11.661011 : Epoch  8, Batch   1202, Loss  0.895091, Average Loss  0.868036, Time  0.265246
2021-09-16 14:13:13.629974 : Epoch  6, Batch   1547, Loss  0.901802, Average Loss  0.869429, Time  0.239105
2021-09-16 14:13:14.736802 : Epoch  8, Batch   1203, Loss  0.893942, Average Loss  0.868057, Time  0.265095
2021-09-16 14:13:16.343958 : Epoch  6, Batch   1548, Loss  0.856456, Average Loss  0.869310, Time  0.238598
2021-09-16 14:13:17.787842 : Epoch  8, Batch   1204, Loss  0.865548, Average Loss  0.867931, Time  0.264884
2021-09-16 14:13:18.967908 : Epoch  6, Batch   1549, Loss  0.867130, Average Loss  0.869371, Time  0.239529
2021-09-16 14:13:20.857417 : Epoch  8, Batch   1205, Loss  0.865954, Average Loss  0.868001, Time  0.265445
2021-09-16 14:13:21.598921 : Epoch  6, Batch   1550, Loss  0.869991, Average Loss  0.869334, Time  0.238593
2021-09-16 14:13:23.915929 : Epoch  8, Batch   1206, Loss  0.869000, Average Loss  0.868057, Time  0.265046
2021-09-16 14:13:24.204923 : Epoch  6, Batch   1551, Loss  0.894001, Average Loss  0.869559, Time  0.238495
2021-09-16 14:13:26.799919 : Epoch  6, Batch   1552, Loss  0.872340, Average Loss  0.869594, Time  0.238739
2021-09-16 14:13:26.998967 : Epoch  8, Batch   1207, Loss  0.875844, Average Loss  0.868096, Time  0.264703
2021-09-16 14:13:29.412955 : Epoch  6, Batch   1553, Loss  0.867457, Average Loss  0.869693, Time  0.238220
2021-09-16 14:13:30.062041 : Epoch  8, Batch   1208, Loss  0.881774, Average Loss  0.868187, Time  0.266418
2021-09-16 14:13:32.021847 : Epoch  6, Batch   1554, Loss  0.880113, Average Loss  0.869693, Time  0.238694
2021-09-16 14:13:34.629216 : Epoch  6, Batch   1555, Loss  0.878317, Average Loss  0.869675, Time  0.238285
2021-09-16 14:13:37.241123 : Epoch  6, Batch   1556, Loss  0.890809, Average Loss  0.869758, Time  0.238396
2021-09-16 14:13:39.852804 : Epoch  6, Batch   1557, Loss  0.886117, Average Loss  0.869853, Time  0.238240
2021-09-16 14:13:42.470766 : Epoch  6, Batch   1558, Loss  0.876387, Average Loss  0.869954, Time  0.239271
2021-09-16 14:13:45.083882 : Epoch  6, Batch   1559, Loss  0.886180, Average Loss  0.870030, Time  0.238658
2021-09-16 14:13:47.699101 : Epoch  6, Batch   1560, Loss  0.855829, Average Loss  0.870021, Time  0.238131
2021-09-16 14:13:50.305875 : Epoch  6, Batch   1561, Loss  0.848066, Average Loss  0.869863, Time  0.238563
2021-09-16 14:13:52.922048 : Epoch  6, Batch   1562, Loss  0.867960, Average Loss  0.869730, Time  0.238557
2021-09-16 14:13:55.542218 : Epoch  6, Batch   1563, Loss  0.882244, Average Loss  0.869730, Time  0.238439
2021-09-16 14:13:58.147966 : Epoch  6, Batch   1564, Loss  0.870842, Average Loss  0.869779, Time  0.238249
2021-09-16 14:14:00.752370 : Epoch  6, Batch   1565, Loss  0.861694, Average Loss  0.869732, Time  0.238621
2021-09-16 14:14:03.364964 : Epoch  6, Batch   1566, Loss  0.870244, Average Loss  0.869725, Time  0.238373
2021-09-16 14:14:05.975904 : Epoch  6, Batch   1567, Loss  0.866394, Average Loss  0.869648, Time  0.238723
2021-09-16 14:14:08.591988 : Epoch  6, Batch   1568, Loss  0.860175, Average Loss  0.869638, Time  0.238371
2021-09-16 14:14:11.212993 : Epoch  6, Batch   1569, Loss  0.853740, Average Loss  0.869421, Time  0.238354
2021-09-16 14:14:13.825079 : Epoch  6, Batch   1570, Loss  0.866240, Average Loss  0.869388, Time  0.239271
2021-09-16 14:14:16.437113 : Epoch  6, Batch   1571, Loss  0.868065, Average Loss  0.869348, Time  0.238530
2021-09-16 14:14:19.065774 : Epoch  6, Batch   1572, Loss  0.855019, Average Loss  0.869215, Time  0.239756
2021-09-16 14:14:21.683877 : Epoch  6, Batch   1573, Loss  0.883969, Average Loss  0.869294, Time  0.238714
2021-09-16 14:14:24.290379 : Epoch  6, Batch   1574, Loss  0.866374, Average Loss  0.869275, Time  0.238621
2021-09-16 14:14:26.910990 : Epoch  6, Batch   1575, Loss  0.856781, Average Loss  0.869158, Time  0.238930
2021-09-16 14:14:29.527103 : Epoch  6, Batch   1576, Loss  0.870897, Average Loss  0.869162, Time  0.238490
2021-09-16 14:14:32.141748 : Epoch  6, Batch   1577, Loss  0.876594, Average Loss  0.869235, Time  0.238512
2021-09-16 14:14:34.753213 : Epoch  6, Batch   1578, Loss  0.849362, Average Loss  0.869283, Time  0.238336
2021-09-16 14:14:37.364850 : Epoch  6, Batch   1579, Loss  0.846249, Average Loss  0.869188, Time  0.238167
2021-09-16 14:14:39.971719 : Epoch  6, Batch   1580, Loss  0.876348, Average Loss  0.869239, Time  0.238686
2021-09-16 14:14:42.590233 : Epoch  6, Batch   1581, Loss  0.861501, Average Loss  0.869300, Time  0.239411
2021-09-16 14:14:45.192847 : Epoch  6, Batch   1582, Loss  0.851156, Average Loss  0.869132, Time  0.238226
2021-09-16 14:14:47.802704 : Epoch  6, Batch   1583, Loss  0.868515, Average Loss  0.869142, Time  0.238490
2021-09-16 14:14:50.414807 : Epoch  6, Batch   1584, Loss  0.876372, Average Loss  0.869253, Time  0.238619
2021-09-16 14:14:53.026829 : Epoch  6, Batch   1585, Loss  0.886407, Average Loss  0.869402, Time  0.238873
2021-09-16 14:14:55.639984 : Epoch  6, Batch   1586, Loss  0.867754, Average Loss  0.869306, Time  0.238604
2021-09-16 14:14:58.263944 : Epoch  6, Batch   1587, Loss  0.881154, Average Loss  0.869358, Time  0.238488
2021-09-16 14:15:00.895095 : Epoch  6, Batch   1588, Loss  0.877962, Average Loss  0.869447, Time  0.238711
2021-09-16 14:15:03.516972 : Epoch  6, Batch   1589, Loss  0.883941, Average Loss  0.869572, Time  0.238717
2021-09-16 14:15:06.144349 : Epoch  6, Batch   1590, Loss  0.859017, Average Loss  0.869491, Time  0.238534
2021-09-16 14:15:08.756109 : Epoch  6, Batch   1591, Loss  0.878317, Average Loss  0.869561, Time  0.238144
2021-09-16 14:15:11.383059 : Epoch  6, Batch   1592, Loss  0.855865, Average Loss  0.869342, Time  0.238420
2021-09-16 14:15:14.007976 : Epoch  6, Batch   1593, Loss  0.853611, Average Loss  0.869222, Time  0.239256
2021-09-16 14:15:16.622887 : Epoch  6, Batch   1594, Loss  0.857376, Average Loss  0.869267, Time  0.238431
2021-09-16 14:15:19.244946 : Epoch  6, Batch   1595, Loss  0.863915, Average Loss  0.869273, Time  0.239540
2021-09-16 14:15:21.860153 : Epoch  6, Batch   1596, Loss  0.878097, Average Loss  0.869390, Time  0.238346
2021-09-16 14:15:24.474823 : Epoch  6, Batch   1597, Loss  0.846403, Average Loss  0.869378, Time  0.238666
2021-09-16 14:15:27.089238 : Epoch  6, Batch   1598, Loss  0.867169, Average Loss  0.869439, Time  0.238671
2021-09-16 14:15:29.712083 : Epoch  6, Batch   1599, Loss  0.868215, Average Loss  0.869426, Time  0.238736
2021-09-16 14:15:32.329230 : Epoch  6, Batch   1600, Loss  0.873907, Average Loss  0.869346, Time  0.238504
2021-09-16 14:15:34.961965 : Epoch  6, Batch   1601, Loss  0.866517, Average Loss  0.869384, Time  0.238161
2021-09-16 14:15:37.579741 : Epoch  6, Batch   1602, Loss  0.889664, Average Loss  0.869524, Time  0.238883
2021-09-16 14:15:40.198977 : Epoch  6, Batch   1603, Loss  0.861748, Average Loss  0.869468, Time  0.238268
2021-09-16 14:15:42.810826 : Epoch  6, Batch   1604, Loss  0.860435, Average Loss  0.869442, Time  0.238569
2021-09-16 14:15:45.417000 : Epoch  6, Batch   1605, Loss  0.860260, Average Loss  0.869378, Time  0.238056
2021-09-16 14:15:48.031936 : Epoch  6, Batch   1606, Loss  0.868438, Average Loss  0.869389, Time  0.238705
2021-09-16 14:15:50.635918 : Epoch  6, Batch   1607, Loss  0.876052, Average Loss  0.869410, Time  0.238336
2021-09-16 14:15:53.248668 : Epoch  6, Batch   1608, Loss  0.871089, Average Loss  0.869422, Time  0.238269
2021-09-16 14:15:55.870373 : Epoch  6, Batch   1609, Loss  0.871966, Average Loss  0.869383, Time  0.239239
2021-09-16 14:15:58.477848 : Epoch  6, Batch   1610, Loss  0.864261, Average Loss  0.869275, Time  0.238120
2021-09-16 14:16:01.085103 : Epoch  6, Batch   1611, Loss  0.872581, Average Loss  0.869352, Time  0.239068
2021-09-16 14:16:03.693830 : Epoch  6, Batch   1612, Loss  0.892699, Average Loss  0.869537, Time  0.238541
2021-09-16 14:16:06.363903 : Epoch  6, Batch   1613, Loss  0.881550, Average Loss  0.869629, Time  0.238714
2021-09-16 14:16:08.974952 : Epoch  6, Batch   1614, Loss  0.888706, Average Loss  0.869688, Time  0.238196
2021-09-16 14:16:11.590127 : Epoch  6, Batch   1615, Loss  0.871556, Average Loss  0.869677, Time  0.238780
2021-09-16 14:16:14.201004 : Epoch  6, Batch   1616, Loss  0.871745, Average Loss  0.869699, Time  0.239339
2021-09-16 14:16:16.811131 : Epoch  6, Batch   1617, Loss  0.878771, Average Loss  0.869727, Time  0.237990
2021-09-16 14:16:19.425187 : Epoch  6, Batch   1618, Loss  0.852560, Average Loss  0.869671, Time  0.239073
2021-09-16 14:16:22.028185 : Epoch  6, Batch   1619, Loss  0.876131, Average Loss  0.869772, Time  0.238860
2021-09-16 14:16:24.640971 : Epoch  6, Batch   1620, Loss  0.855645, Average Loss  0.869799, Time  0.238598
2021-09-16 14:18:11.712623 : CheckPoint: Validation Loss  0.00030876, Best Loss  0.00029295
2021-09-16 14:18:14.755009 : Epoch  8, Batch   1209, Loss  0.886855, Average Loss  0.868333, Time  0.264293
2021-09-16 14:18:17.825729 : Epoch  8, Batch   1210, Loss  0.868752, Average Loss  0.868369, Time  0.275400
2021-09-16 14:18:20.884787 : Epoch  8, Batch   1211, Loss  0.882760, Average Loss  0.868446, Time  0.264286
2021-09-16 14:18:23.930131 : Epoch  8, Batch   1212, Loss  0.865177, Average Loss  0.868381, Time  0.264706
2021-09-16 14:18:26.974093 : Epoch  8, Batch   1213, Loss  0.873092, Average Loss  0.868411, Time  0.264520
2021-09-16 14:18:30.049200 : Epoch  8, Batch   1214, Loss  0.873251, Average Loss  0.868552, Time  0.264494
2021-09-16 14:18:33.100934 : Epoch  8, Batch   1215, Loss  0.855759, Average Loss  0.868405, Time  0.264238
2021-09-16 14:18:36.150673 : Epoch  8, Batch   1216, Loss  0.885692, Average Loss  0.868386, Time  0.265232
2021-09-16 14:18:39.205232 : Epoch  8, Batch   1217, Loss  0.855394, Average Loss  0.868383, Time  0.264456
2021-09-16 14:18:42.246253 : Epoch  8, Batch   1218, Loss  0.877319, Average Loss  0.868442, Time  0.265036
2021-09-16 14:18:45.291400 : Epoch  8, Batch   1219, Loss  0.871453, Average Loss  0.868511, Time  0.264777
2021-09-16 14:18:48.345945 : Epoch  8, Batch   1220, Loss  0.854155, Average Loss  0.868557, Time  0.264611
2021-09-16 14:18:51.407326 : Epoch  8, Batch   1221, Loss  0.868952, Average Loss  0.868661, Time  0.264556
2021-09-16 14:18:54.445820 : Epoch  8, Batch   1222, Loss  0.868664, Average Loss  0.868711, Time  0.265023
2021-09-16 14:18:57.527213 : Epoch  8, Batch   1223, Loss  0.865108, Average Loss  0.868819, Time  0.266088
2021-09-16 14:19:00.582829 : Epoch  8, Batch   1224, Loss  0.865927, Average Loss  0.868777, Time  0.264414
2021-09-16 14:19:03.637347 : Epoch  8, Batch   1225, Loss  0.849135, Average Loss  0.868703, Time  0.274320
2021-09-16 14:19:06.704864 : Epoch  8, Batch   1226, Loss  0.864051, Average Loss  0.868693, Time  0.264038
2021-09-16 14:19:09.762814 : Epoch  8, Batch   1227, Loss  0.898569, Average Loss  0.868744, Time  0.264773
2021-09-16 14:19:12.882773 : Epoch  8, Batch   1228, Loss  0.861728, Average Loss  0.868579, Time  0.273324
2021-09-16 14:19:15.942993 : Epoch  8, Batch   1229, Loss  0.869874, Average Loss  0.868617, Time  0.264709
2021-09-16 14:19:19.009730 : Epoch  8, Batch   1230, Loss  0.859245, Average Loss  0.868601, Time  0.264230
2021-09-16 14:19:22.065173 : Epoch  8, Batch   1231, Loss  0.865837, Average Loss  0.868497, Time  0.264238
2021-09-16 14:19:25.133879 : Epoch  8, Batch   1232, Loss  0.886969, Average Loss  0.868518, Time  0.264351
2021-09-16 14:19:28.186792 : Epoch  8, Batch   1233, Loss  0.880542, Average Loss  0.868541, Time  0.264532
2021-09-16 14:19:31.243125 : Epoch  8, Batch   1234, Loss  0.868130, Average Loss  0.868486, Time  0.264476
2021-09-16 14:19:34.281538 : Epoch  8, Batch   1235, Loss  0.849023, Average Loss  0.868374, Time  0.264238
2021-09-16 14:19:37.350216 : Epoch  8, Batch   1236, Loss  0.845221, Average Loss  0.868253, Time  0.264472
2021-09-16 14:19:40.403988 : Epoch  8, Batch   1237, Loss  0.862680, Average Loss  0.868306, Time  0.264257
2021-09-16 14:19:43.462407 : Epoch  8, Batch   1238, Loss  0.852746, Average Loss  0.868274, Time  0.264157
2021-09-16 14:19:46.511770 : Epoch  8, Batch   1239, Loss  0.869976, Average Loss  0.868411, Time  0.264475
2021-09-16 14:19:49.575391 : Epoch  8, Batch   1240, Loss  0.878249, Average Loss  0.868477, Time  0.275125
2021-09-16 14:19:52.616313 : Epoch  8, Batch   1241, Loss  0.847598, Average Loss  0.868450, Time  0.264289
2021-09-16 14:19:55.673916 : Epoch  8, Batch   1242, Loss  0.850707, Average Loss  0.868357, Time  0.264300
2021-09-16 14:19:58.748968 : Epoch  8, Batch   1243, Loss  0.848880, Average Loss  0.868224, Time  0.264004
2021-09-16 14:20:01.790150 : Epoch  8, Batch   1244, Loss  0.870605, Average Loss  0.868242, Time  0.263966
2021-09-16 14:20:04.850870 : Epoch  8, Batch   1245, Loss  0.873410, Average Loss  0.868378, Time  0.264620
2021-09-16 14:20:07.903365 : Epoch  8, Batch   1246, Loss  0.860772, Average Loss  0.868221, Time  0.263852
2021-09-16 14:20:10.949875 : Epoch  8, Batch   1247, Loss  0.890963, Average Loss  0.868332, Time  0.264069
2021-09-16 14:20:14.009844 : Epoch  8, Batch   1248, Loss  0.866386, Average Loss  0.868363, Time  0.264610
2021-09-16 14:20:17.065230 : Epoch  8, Batch   1249, Loss  0.862286, Average Loss  0.868200, Time  0.264440
2021-09-16 14:20:20.119943 : Epoch  8, Batch   1250, Loss  0.859388, Average Loss  0.868178, Time  0.264448
2021-09-16 14:20:23.173448 : Epoch  8, Batch   1251, Loss  0.874142, Average Loss  0.868226, Time  0.264230
2021-09-16 14:20:25.633695 : CheckPoint: Validation Loss  0.00029647, Best Loss  0.00029207
2021-09-16 14:20:26.229189 : Epoch  8, Batch   1252, Loss  0.858596, Average Loss  0.868273, Time  0.264229
2021-09-16 14:20:28.214986 : Epoch  6, Batch   1621, Loss  0.868511, Average Loss  0.869872, Time  0.239701
2021-09-16 14:20:29.286650 : Epoch  8, Batch   1253, Loss  0.878581, Average Loss  0.868333, Time  0.264641
2021-09-16 14:20:30.795789 : Epoch  6, Batch   1622, Loss  0.869137, Average Loss  0.869810, Time  0.238708
2021-09-16 14:20:32.351104 : Epoch  8, Batch   1254, Loss  0.856780, Average Loss  0.868233, Time  0.264235
2021-09-16 14:20:33.397984 : Epoch  6, Batch   1623, Loss  0.859639, Average Loss  0.869927, Time  0.238156
2021-09-16 14:20:35.411467 : Epoch  8, Batch   1255, Loss  0.871619, Average Loss  0.868181, Time  0.273545
2021-09-16 14:20:35.981215 : Epoch  6, Batch   1624, Loss  0.881587, Average Loss  0.870098, Time  0.238388
2021-09-16 14:20:38.474250 : Epoch  8, Batch   1256, Loss  0.858606, Average Loss  0.868192, Time  0.264104
2021-09-16 14:20:38.571766 : Epoch  6, Batch   1625, Loss  0.889145, Average Loss  0.870154, Time  0.238332
2021-09-16 14:20:41.150104 : Epoch  6, Batch   1626, Loss  0.877175, Average Loss  0.870089, Time  0.238246
2021-09-16 14:20:41.520117 : Epoch  8, Batch   1257, Loss  0.838800, Average Loss  0.868031, Time  0.264453
2021-09-16 14:20:43.732982 : Epoch  6, Batch   1627, Loss  0.876293, Average Loss  0.870154, Time  0.239049
2021-09-16 14:20:44.552136 : Epoch  8, Batch   1258, Loss  0.864007, Average Loss  0.867953, Time  0.264298
2021-09-16 14:20:46.325500 : Epoch  6, Batch   1628, Loss  0.872144, Average Loss  0.870131, Time  0.238820
2021-09-16 14:20:47.597193 : Epoch  8, Batch   1259, Loss  0.864111, Average Loss  0.867964, Time  0.264942
2021-09-16 14:20:48.921897 : Epoch  6, Batch   1629, Loss  0.874567, Average Loss  0.870157, Time  0.238320
2021-09-16 14:20:50.657299 : Epoch  8, Batch   1260, Loss  0.851458, Average Loss  0.867969, Time  0.264330
2021-09-16 14:20:51.515947 : Epoch  6, Batch   1630, Loss  0.850751, Average Loss  0.870129, Time  0.239722
2021-09-16 14:20:53.712830 : Epoch  8, Batch   1261, Loss  0.855659, Average Loss  0.867799, Time  0.264755
2021-09-16 14:20:54.102149 : Epoch  6, Batch   1631, Loss  0.877523, Average Loss  0.870136, Time  0.238549
2021-09-16 14:20:56.673807 : Epoch  6, Batch   1632, Loss  0.872294, Average Loss  0.870041, Time  0.239095
2021-09-16 14:20:56.764318 : Epoch  8, Batch   1262, Loss  0.864202, Average Loss  0.867751, Time  0.264583
2021-09-16 14:20:59.264714 : Epoch  6, Batch   1633, Loss  0.854929, Average Loss  0.869889, Time  0.239103
2021-09-16 14:20:59.840176 : Epoch  8, Batch   1263, Loss  0.884239, Average Loss  0.867837, Time  0.264302
2021-09-16 14:21:01.841893 : Epoch  6, Batch   1634, Loss  0.862870, Average Loss  0.869791, Time  0.238449
2021-09-16 14:21:02.887877 : Epoch  8, Batch   1264, Loss  0.858715, Average Loss  0.867722, Time  0.264244
2021-09-16 14:21:04.425711 : Epoch  6, Batch   1635, Loss  0.855890, Average Loss  0.869724, Time  0.238951
2021-09-16 14:21:05.948756 : Epoch  8, Batch   1265, Loss  0.859259, Average Loss  0.867611, Time  0.264295
2021-09-16 14:21:07.004242 : Epoch  6, Batch   1636, Loss  0.878521, Average Loss  0.869861, Time  0.238628
2021-09-16 14:21:08.999825 : Epoch  8, Batch   1266, Loss  0.882235, Average Loss  0.867625, Time  0.266047
2021-09-16 14:21:09.588845 : Epoch  6, Batch   1637, Loss  0.858569, Average Loss  0.869748, Time  0.238984
2021-09-16 14:21:12.060778 : Epoch  8, Batch   1267, Loss  0.882954, Average Loss  0.867769, Time  0.264603
2021-09-16 14:21:12.175199 : Epoch  6, Batch   1638, Loss  0.873093, Average Loss  0.869674, Time  0.238481
2021-09-16 14:21:14.746703 : Epoch  6, Batch   1639, Loss  0.854757, Average Loss  0.869574, Time  0.238489
2021-09-16 14:21:15.126981 : Epoch  8, Batch   1268, Loss  0.859651, Average Loss  0.867619, Time  0.264024
2021-09-16 14:21:17.326952 : Epoch  6, Batch   1640, Loss  0.882100, Average Loss  0.869544, Time  0.238555
2021-09-16 14:21:18.163143 : Epoch  8, Batch   1269, Loss  0.882265, Average Loss  0.867643, Time  0.263848
2021-09-16 14:21:19.902126 : Epoch  6, Batch   1641, Loss  0.877493, Average Loss  0.869568, Time  0.238564
2021-09-16 14:21:21.216535 : Epoch  8, Batch   1270, Loss  0.875825, Average Loss  0.867730, Time  0.272962
2021-09-16 14:21:22.482714 : Epoch  6, Batch   1642, Loss  0.855903, Average Loss  0.869472, Time  0.238554
2021-09-16 14:21:24.277178 : Epoch  8, Batch   1271, Loss  0.874165, Average Loss  0.867808, Time  0.264236
2021-09-16 14:21:25.054937 : Epoch  6, Batch   1643, Loss  0.854236, Average Loss  0.869356, Time  0.238316
2021-09-16 14:21:27.325885 : Epoch  8, Batch   1272, Loss  0.840797, Average Loss  0.867729, Time  0.265265
2021-09-16 14:21:27.633151 : Epoch  6, Batch   1644, Loss  0.854152, Average Loss  0.869243, Time  0.238686
2021-09-16 14:21:30.197819 : Epoch  6, Batch   1645, Loss  0.862867, Average Loss  0.869238, Time  0.238634
2021-09-16 14:21:30.389788 : Epoch  8, Batch   1273, Loss  0.894266, Average Loss  0.867852, Time  0.264269
2021-09-16 14:21:32.786043 : Epoch  6, Batch   1646, Loss  0.860132, Average Loss  0.869221, Time  0.238445
2021-09-16 14:21:33.448112 : Epoch  8, Batch   1274, Loss  0.860766, Average Loss  0.867735, Time  0.264150
2021-09-16 14:21:35.367761 : Epoch  6, Batch   1647, Loss  0.871293, Average Loss  0.869252, Time  0.239036
2021-09-16 14:21:36.506601 : Epoch  8, Batch   1275, Loss  0.874408, Average Loss  0.867758, Time  0.264356
2021-09-16 14:21:37.946955 : Epoch  6, Batch   1648, Loss  0.876955, Average Loss  0.869179, Time  0.238394
2021-09-16 14:21:39.553956 : Epoch  8, Batch   1276, Loss  0.853805, Average Loss  0.867641, Time  0.264569
2021-09-16 14:21:40.527973 : Epoch  6, Batch   1649, Loss  0.857281, Average Loss  0.869093, Time  0.238816
2021-09-16 14:21:42.615384 : Epoch  8, Batch   1277, Loss  0.875369, Average Loss  0.867612, Time  0.263832
2021-09-16 14:21:43.098974 : Epoch  6, Batch   1650, Loss  0.887940, Average Loss  0.869263, Time  0.238417
2021-09-16 14:21:45.679382 : Epoch  8, Batch   1278, Loss  0.857605, Average Loss  0.867565, Time  0.264168
2021-09-16 14:21:45.698102 : Epoch  6, Batch   1651, Loss  0.878262, Average Loss  0.869269, Time  0.238013
2021-09-16 14:21:48.288947 : Epoch  6, Batch   1652, Loss  0.860458, Average Loss  0.869239, Time  0.238530
2021-09-16 14:21:48.740113 : Epoch  8, Batch   1279, Loss  0.876326, Average Loss  0.867514, Time  0.264813
2021-09-16 14:21:50.866965 : Epoch  6, Batch   1653, Loss  0.872700, Average Loss  0.869194, Time  0.238687
2021-09-16 14:21:51.782036 : Epoch  8, Batch   1280, Loss  0.877423, Average Loss  0.867648, Time  0.264005
2021-09-16 14:21:53.463001 : Epoch  6, Batch   1654, Loss  0.864294, Average Loss  0.869349, Time  0.239501
2021-09-16 14:21:54.839790 : Epoch  8, Batch   1281, Loss  0.858237, Average Loss  0.867512, Time  0.264264
2021-09-16 14:21:56.039899 : Epoch  6, Batch   1655, Loss  0.872729, Average Loss  0.869323, Time  0.238372
2021-09-16 14:21:57.890830 : Epoch  8, Batch   1282, Loss  0.860682, Average Loss  0.867416, Time  0.264191
2021-09-16 14:21:58.673953 : Epoch  6, Batch   1656, Loss  0.870874, Average Loss  0.869326, Time  0.239966
2021-09-16 14:22:00.937628 : Epoch  8, Batch   1283, Loss  0.861220, Average Loss  0.867354, Time  0.264493
2021-09-16 14:22:01.269914 : Epoch  6, Batch   1657, Loss  0.867014, Average Loss  0.869363, Time  0.239479
2021-09-16 14:22:03.856939 : Epoch  6, Batch   1658, Loss  0.884622, Average Loss  0.869476, Time  0.238866
2021-09-16 14:22:03.985962 : Epoch  8, Batch   1284, Loss  0.863310, Average Loss  0.867438, Time  0.264022
2021-09-16 14:22:06.440922 : Epoch  6, Batch   1659, Loss  0.851961, Average Loss  0.869336, Time  0.239261
2021-09-16 14:22:07.027004 : Epoch  8, Batch   1285, Loss  0.826978, Average Loss  0.867296, Time  0.272000
2021-09-16 14:22:09.021062 : Epoch  6, Batch   1660, Loss  0.880031, Average Loss  0.869495, Time  0.238905
2021-09-16 14:22:10.077797 : Epoch  8, Batch   1286, Loss  0.866411, Average Loss  0.867308, Time  0.264405
2021-09-16 14:22:11.616845 : Epoch  6, Batch   1661, Loss  0.882760, Average Loss  0.869596, Time  0.238749
2021-09-16 14:22:13.135843 : Epoch  8, Batch   1287, Loss  0.866387, Average Loss  0.867299, Time  0.264868
2021-09-16 14:22:14.204761 : Epoch  6, Batch   1662, Loss  0.874732, Average Loss  0.869551, Time  0.238062
2021-09-16 14:22:16.202962 : Epoch  8, Batch   1288, Loss  0.881342, Average Loss  0.867311, Time  0.264190
2021-09-16 14:22:16.789095 : Epoch  6, Batch   1663, Loss  0.881391, Average Loss  0.869568, Time  0.238941
2021-09-16 14:22:19.261765 : Epoch  8, Batch   1289, Loss  0.851503, Average Loss  0.867128, Time  0.264821
2021-09-16 14:22:19.375880 : Epoch  6, Batch   1664, Loss  0.842942, Average Loss  0.869361, Time  0.238270
2021-09-16 14:22:21.943696 : Epoch  6, Batch   1665, Loss  0.858620, Average Loss  0.869347, Time  0.238332
2021-09-16 14:22:22.330081 : Epoch  8, Batch   1290, Loss  0.860235, Average Loss  0.866988, Time  0.264430
2021-09-16 14:22:24.530995 : Epoch  6, Batch   1666, Loss  0.863237, Average Loss  0.869388, Time  0.238523
2021-09-16 14:22:25.385210 : Epoch  8, Batch   1291, Loss  0.857920, Average Loss  0.866916, Time  0.264540
2021-09-16 14:22:27.113797 : Epoch  6, Batch   1667, Loss  0.896035, Average Loss  0.869587, Time  0.238404
2021-09-16 14:22:28.434717 : Epoch  8, Batch   1292, Loss  0.896925, Average Loss  0.867082, Time  0.264910
2021-09-16 14:22:29.698906 : Epoch  6, Batch   1668, Loss  0.867729, Average Loss  0.869530, Time  0.239149
2021-09-16 14:22:31.498617 : Epoch  8, Batch   1293, Loss  0.879711, Average Loss  0.867174, Time  0.264277
2021-09-16 14:22:32.286987 : Epoch  6, Batch   1669, Loss  0.854319, Average Loss  0.869533, Time  0.238316
2021-09-16 14:22:34.546756 : Epoch  8, Batch   1294, Loss  0.859218, Average Loss  0.867125, Time  0.264401
2021-09-16 14:22:34.866040 : Epoch  6, Batch   1670, Loss  0.860625, Average Loss  0.869574, Time  0.238347
2021-09-16 14:22:37.437125 : Epoch  6, Batch   1671, Loss  0.848383, Average Loss  0.869484, Time  0.239300
2021-09-16 14:22:37.598265 : Epoch  8, Batch   1295, Loss  0.874777, Average Loss  0.867146, Time  0.265357
2021-09-16 14:22:40.017791 : Epoch  6, Batch   1672, Loss  0.865136, Average Loss  0.869478, Time  0.238830
2021-09-16 14:22:40.633508 : Epoch  8, Batch   1296, Loss  0.868288, Average Loss  0.867107, Time  0.263951
2021-09-16 14:22:42.601003 : Epoch  6, Batch   1673, Loss  0.848827, Average Loss  0.869384, Time  0.239073
2021-09-16 14:22:43.693938 : Epoch  8, Batch   1297, Loss  0.848576, Average Loss  0.866905, Time  0.264369
2021-09-16 14:22:45.186713 : Epoch  6, Batch   1674, Loss  0.875940, Average Loss  0.869479, Time  0.238619
2021-09-16 14:22:46.747119 : Epoch  8, Batch   1298, Loss  0.863707, Average Loss  0.866944, Time  0.264049
2021-09-16 14:22:47.769980 : Epoch  6, Batch   1675, Loss  0.852740, Average Loss  0.869348, Time  0.238355
2021-09-16 14:22:49.813227 : Epoch  8, Batch   1299, Loss  0.854956, Average Loss  0.866983, Time  0.264078
2021-09-16 14:22:50.350915 : Epoch  6, Batch   1676, Loss  0.862358, Average Loss  0.869412, Time  0.238795
2021-09-16 14:22:52.875904 : Epoch  8, Batch   1300, Loss  0.854863, Average Loss  0.866870, Time  0.276436
2021-09-16 14:22:52.934132 : Epoch  6, Batch   1677, Loss  0.881020, Average Loss  0.869335, Time  0.239355
2021-09-16 14:22:55.519015 : Epoch  6, Batch   1678, Loss  0.877930, Average Loss  0.869228, Time  0.238357
2021-09-16 14:22:55.922414 : Epoch  8, Batch   1301, Loss  0.871988, Average Loss  0.866899, Time  0.264626
2021-09-16 14:22:58.105763 : Epoch  6, Batch   1679, Loss  0.872613, Average Loss  0.869227, Time  0.240354
2021-09-16 14:22:58.968405 : Epoch  8, Batch   1302, Loss  0.875299, Average Loss  0.866934, Time  0.265004
2021-09-16 14:23:00.695954 : Epoch  6, Batch   1680, Loss  0.860202, Average Loss  0.869289, Time  0.239165
2021-09-16 14:23:02.023722 : Epoch  8, Batch   1303, Loss  0.894031, Average Loss  0.867007, Time  0.264699
2021-09-16 14:23:03.274914 : Epoch  6, Batch   1681, Loss  0.876147, Average Loss  0.869422, Time  0.238605
2021-09-16 14:23:05.073794 : Epoch  8, Batch   1304, Loss  0.860116, Average Loss  0.866937, Time  0.264382
2021-09-16 14:23:05.874744 : Epoch  6, Batch   1682, Loss  0.866184, Average Loss  0.869356, Time  0.238625
2021-09-16 14:23:08.137041 : Epoch  8, Batch   1305, Loss  0.886099, Average Loss  0.867040, Time  0.264035
2021-09-16 14:23:08.462032 : Epoch  6, Batch   1683, Loss  0.864920, Average Loss  0.869324, Time  0.238788
2021-09-16 14:23:11.067165 : Epoch  6, Batch   1684, Loss  0.860062, Average Loss  0.869300, Time  0.238090
2021-09-16 14:23:11.206797 : Epoch  8, Batch   1306, Loss  0.864707, Average Loss  0.867093, Time  0.264325
2021-09-16 14:23:13.670744 : Epoch  6, Batch   1685, Loss  0.846615, Average Loss  0.869129, Time  0.238426
2021-09-16 14:23:14.254958 : Epoch  8, Batch   1307, Loss  0.870458, Average Loss  0.867208, Time  0.266185
2021-09-16 14:23:16.260767 : Epoch  6, Batch   1686, Loss  0.875032, Average Loss  0.869130, Time  0.238451
2021-09-16 14:23:17.304475 : Epoch  8, Batch   1308, Loss  0.867358, Average Loss  0.867268, Time  0.264069
2021-09-16 14:23:18.849454 : Epoch  6, Batch   1687, Loss  0.870462, Average Loss  0.869132, Time  0.238989
2021-09-16 14:23:21.431182 : Epoch  6, Batch   1688, Loss  0.865598, Average Loss  0.869211, Time  0.238329
2021-09-16 14:23:24.014103 : Epoch  6, Batch   1689, Loss  0.848294, Average Loss  0.869115, Time  0.238511
2021-09-16 14:23:26.592234 : Epoch  6, Batch   1690, Loss  0.859688, Average Loss  0.869066, Time  0.238146
2021-09-16 14:23:29.173095 : Epoch  6, Batch   1691, Loss  0.889014, Average Loss  0.869121, Time  0.238611
2021-09-16 14:23:31.762081 : Epoch  6, Batch   1692, Loss  0.871119, Average Loss  0.869116, Time  0.238527
2021-09-16 14:23:34.347070 : Epoch  6, Batch   1693, Loss  0.886816, Average Loss  0.869182, Time  0.238572
2021-09-16 14:23:36.934898 : Epoch  6, Batch   1694, Loss  0.873972, Average Loss  0.869169, Time  0.239954
2021-09-16 14:23:39.512980 : Epoch  6, Batch   1695, Loss  0.880817, Average Loss  0.869269, Time  0.238375
2021-09-16 14:23:42.099033 : Epoch  6, Batch   1696, Loss  0.868807, Average Loss  0.869294, Time  0.238604
2021-09-16 14:23:44.694449 : Epoch  6, Batch   1697, Loss  0.894383, Average Loss  0.869418, Time  0.257865
2021-09-16 14:23:47.295122 : Epoch  6, Batch   1698, Loss  0.896122, Average Loss  0.869533, Time  0.238337
2021-09-16 14:23:49.874739 : Epoch  6, Batch   1699, Loss  0.866145, Average Loss  0.869470, Time  0.238621
2021-09-16 14:23:52.461810 : Epoch  6, Batch   1700, Loss  0.881203, Average Loss  0.869466, Time  0.239461
2021-09-16 14:23:55.039344 : Epoch  6, Batch   1701, Loss  0.860697, Average Loss  0.869381, Time  0.238869
2021-09-16 14:23:57.621978 : Epoch  6, Batch   1702, Loss  0.863485, Average Loss  0.869291, Time  0.238966
2021-09-16 14:24:00.221002 : Epoch  6, Batch   1703, Loss  0.862275, Average Loss  0.869280, Time  0.239346
2021-09-16 14:24:02.805912 : Epoch  6, Batch   1704, Loss  0.882173, Average Loss  0.869354, Time  0.238492
2021-09-16 14:24:05.403002 : Epoch  6, Batch   1705, Loss  0.886608, Average Loss  0.869448, Time  0.239037
2021-09-16 14:24:07.991695 : Epoch  6, Batch   1706, Loss  0.872345, Average Loss  0.869399, Time  0.239266
2021-09-16 14:24:10.571747 : Epoch  6, Batch   1707, Loss  0.862659, Average Loss  0.869333, Time  0.238323
2021-09-16 14:24:13.161081 : Epoch  6, Batch   1708, Loss  0.856498, Average Loss  0.869218, Time  0.238745
2021-09-16 14:24:15.772885 : Epoch  6, Batch   1709, Loss  0.869882, Average Loss  0.869010, Time  0.238895
2021-09-16 14:24:18.357111 : Epoch  6, Batch   1710, Loss  0.862423, Average Loss  0.868974, Time  0.238359
2021-09-16 14:24:20.950863 : Epoch  6, Batch   1711, Loss  0.861684, Average Loss  0.869080, Time  0.239153
2021-09-16 14:24:23.535863 : Epoch  6, Batch   1712, Loss  0.862642, Average Loss  0.869106, Time  0.238703
2021-09-16 14:24:26.123977 : Epoch  6, Batch   1713, Loss  0.879239, Average Loss  0.869208, Time  0.238272
2021-09-16 14:24:28.711778 : Epoch  6, Batch   1714, Loss  0.874845, Average Loss  0.869153, Time  0.238150
2021-09-16 14:24:31.295866 : Epoch  6, Batch   1715, Loss  0.865301, Average Loss  0.869123, Time  0.238646
2021-09-16 14:24:33.877078 : Epoch  6, Batch   1716, Loss  0.879180, Average Loss  0.869255, Time  0.238646
2021-09-16 14:24:36.458604 : Epoch  6, Batch   1717, Loss  0.878512, Average Loss  0.869258, Time  0.238663
2021-09-16 14:24:39.039571 : Epoch  6, Batch   1718, Loss  0.879816, Average Loss  0.869361, Time  0.238878
2021-09-16 14:24:41.618840 : Epoch  6, Batch   1719, Loss  0.865619, Average Loss  0.869247, Time  0.238436
2021-09-16 14:24:53.104881 : Epoch  6, Batch   1720, Loss  0.875398, Average Loss  0.869414, Time  0.270952
2021-09-16 14:27:51.313499 : CheckPoint: Validation Loss  0.00030231, Best Loss  0.00029295
2021-09-16 14:27:54.330723 : Epoch  8, Batch   1309, Loss  0.872515, Average Loss  0.867328, Time  0.265537
2021-09-16 14:27:57.292803 : Epoch  8, Batch   1310, Loss  0.860364, Average Loss  0.867263, Time  0.264107
2021-09-16 14:28:00.255264 : Epoch  8, Batch   1311, Loss  0.850155, Average Loss  0.867137, Time  0.263483
2021-09-16 14:28:03.236421 : Epoch  8, Batch   1312, Loss  0.867954, Average Loss  0.867168, Time  0.266356
2021-09-16 14:28:06.232106 : Epoch  8, Batch   1313, Loss  0.897027, Average Loss  0.867306, Time  0.263989
2021-09-16 14:28:09.212642 : Epoch  8, Batch   1314, Loss  0.880883, Average Loss  0.867338, Time  0.264017
2021-09-16 14:28:12.171404 : Epoch  8, Batch   1315, Loss  0.886439, Average Loss  0.867407, Time  0.264099
2021-09-16 14:28:15.122964 : Epoch  8, Batch   1316, Loss  0.879451, Average Loss  0.867481, Time  0.263821
2021-09-16 14:28:18.073664 : Epoch  8, Batch   1317, Loss  0.875757, Average Loss  0.867499, Time  0.264737
2021-09-16 14:28:21.041020 : Epoch  8, Batch   1318, Loss  0.863092, Average Loss  0.867370, Time  0.264408
2021-09-16 14:28:24.016883 : Epoch  8, Batch   1319, Loss  0.863186, Average Loss  0.867444, Time  0.273440
2021-09-16 14:28:26.971709 : Epoch  8, Batch   1320, Loss  0.865384, Average Loss  0.867423, Time  0.263932
2021-09-16 14:28:29.945947 : Epoch  8, Batch   1321, Loss  0.855452, Average Loss  0.867330, Time  0.265068
2021-09-16 14:28:32.907000 : Epoch  8, Batch   1322, Loss  0.872634, Average Loss  0.867394, Time  0.265389
2021-09-16 14:28:35.878360 : Epoch  8, Batch   1323, Loss  0.878577, Average Loss  0.867399, Time  0.264901
2021-09-16 14:28:38.850540 : Epoch  8, Batch   1324, Loss  0.890398, Average Loss  0.867437, Time  0.264041
2021-09-16 14:28:41.833910 : Epoch  8, Batch   1325, Loss  0.861535, Average Loss  0.867466, Time  0.264415
2021-09-16 14:28:44.806860 : Epoch  8, Batch   1326, Loss  0.874864, Average Loss  0.867494, Time  0.264138
2021-09-16 14:28:47.765022 : Epoch  8, Batch   1327, Loss  0.845056, Average Loss  0.867368, Time  0.263429
2021-09-16 14:28:50.724554 : Epoch  8, Batch   1328, Loss  0.867154, Average Loss  0.867281, Time  0.264661
2021-09-16 14:28:53.726982 : Epoch  8, Batch   1329, Loss  0.875310, Average Loss  0.867368, Time  0.263924
2021-09-16 14:28:54.481696 : CheckPoint: Validation Loss  0.00029901, Best Loss  0.00029207
2021-09-16 14:28:56.690096 : Epoch  8, Batch   1330, Loss  0.851467, Average Loss  0.867320, Time  0.264758
2021-09-16 14:28:57.072045 : Epoch  6, Batch   1721, Loss  0.870897, Average Loss  0.869464, Time  0.239384
2021-09-16 14:28:59.677634 : Epoch  6, Batch   1722, Loss  0.872417, Average Loss  0.869431, Time  0.238940
2021-09-16 14:28:59.681553 : Epoch  8, Batch   1331, Loss  0.883180, Average Loss  0.867313, Time  0.264599
2021-09-16 14:29:02.290946 : Epoch  6, Batch   1723, Loss  0.867563, Average Loss  0.869496, Time  0.238420
2021-09-16 14:29:02.694444 : Epoch  8, Batch   1332, Loss  0.856983, Average Loss  0.867290, Time  0.264870
2021-09-16 14:29:04.923056 : Epoch  6, Batch   1724, Loss  0.897811, Average Loss  0.869525, Time  0.238400
2021-09-16 14:29:05.654978 : Epoch  8, Batch   1333, Loss  0.878301, Average Loss  0.867329, Time  0.264867
2021-09-16 14:29:07.528242 : Epoch  6, Batch   1725, Loss  0.869310, Average Loss  0.869588, Time  0.238281
2021-09-16 14:29:08.643024 : Epoch  8, Batch   1334, Loss  0.876781, Average Loss  0.867261, Time  0.272798
2021-09-16 14:29:10.137347 : Epoch  6, Batch   1726, Loss  0.865737, Average Loss  0.869527, Time  0.238378
2021-09-16 14:29:11.634921 : Epoch  8, Batch   1335, Loss  0.852518, Average Loss  0.867120, Time  0.266954
2021-09-16 14:29:12.780863 : Epoch  6, Batch   1727, Loss  0.868016, Average Loss  0.869534, Time  0.238391
2021-09-16 14:29:14.631927 : Epoch  8, Batch   1336, Loss  0.882034, Average Loss  0.867252, Time  0.264275
2021-09-16 14:29:15.393819 : Epoch  6, Batch   1728, Loss  0.859039, Average Loss  0.869427, Time  0.238148
2021-09-16 14:29:17.607261 : Epoch  8, Batch   1337, Loss  0.874312, Average Loss  0.867372, Time  0.264051
2021-09-16 14:29:18.006986 : Epoch  6, Batch   1729, Loss  0.870576, Average Loss  0.869379, Time  0.238754
2021-09-16 14:29:20.579782 : Epoch  8, Batch   1338, Loss  0.882988, Average Loss  0.867402, Time  0.264635
2021-09-16 14:29:20.608691 : Epoch  6, Batch   1730, Loss  0.869672, Average Loss  0.869446, Time  0.239102
2021-09-16 14:29:23.211791 : Epoch  6, Batch   1731, Loss  0.869983, Average Loss  0.869413, Time  0.238424
2021-09-16 14:29:23.562804 : Epoch  8, Batch   1339, Loss  0.877928, Average Loss  0.867453, Time  0.263997
2021-09-16 14:29:25.819888 : Epoch  6, Batch   1732, Loss  0.861730, Average Loss  0.869509, Time  0.238219
2021-09-16 14:29:26.511440 : Epoch  8, Batch   1340, Loss  0.868177, Average Loss  0.867518, Time  0.264449
2021-09-16 14:29:28.448975 : Epoch  6, Batch   1733, Loss  0.880341, Average Loss  0.869526, Time  0.238383
2021-09-16 14:29:29.494760 : Epoch  8, Batch   1341, Loss  0.861617, Average Loss  0.867469, Time  0.264281
2021-09-16 14:29:31.076949 : Epoch  6, Batch   1734, Loss  0.876136, Average Loss  0.869532, Time  0.238678
2021-09-16 14:29:32.495270 : Epoch  8, Batch   1342, Loss  0.870594, Average Loss  0.867411, Time  0.263939
2021-09-16 14:29:33.683065 : Epoch  6, Batch   1735, Loss  0.859744, Average Loss  0.869438, Time  0.239477
2021-09-16 14:29:35.457923 : Epoch  8, Batch   1343, Loss  0.879850, Average Loss  0.867422, Time  0.264364
2021-09-16 14:29:36.313863 : Epoch  6, Batch   1736, Loss  0.887117, Average Loss  0.869550, Time  0.240462
2021-09-16 14:29:38.413029 : Epoch  8, Batch   1344, Loss  0.854529, Average Loss  0.867329, Time  0.263439
2021-09-16 14:29:38.963059 : Epoch  6, Batch   1737, Loss  0.864754, Average Loss  0.869498, Time  0.239625
2021-09-16 14:29:41.382518 : Epoch  8, Batch   1345, Loss  0.875297, Average Loss  0.867445, Time  0.264202
2021-09-16 14:29:41.601857 : Epoch  6, Batch   1738, Loss  0.874526, Average Loss  0.869595, Time  0.238824
2021-09-16 14:29:44.204734 : Epoch  6, Batch   1739, Loss  0.871747, Average Loss  0.869597, Time  0.238730
2021-09-16 14:29:44.358213 : Epoch  8, Batch   1346, Loss  0.882853, Average Loss  0.867533, Time  0.264542
2021-09-16 14:29:46.819085 : Epoch  6, Batch   1740, Loss  0.856259, Average Loss  0.869601, Time  0.238617
2021-09-16 14:29:47.310442 : Epoch  8, Batch   1347, Loss  0.889779, Average Loss  0.867639, Time  0.263892
2021-09-16 14:29:49.428209 : Epoch  6, Batch   1741, Loss  0.857255, Average Loss  0.869695, Time  0.238487
2021-09-16 14:29:50.254967 : Epoch  8, Batch   1348, Loss  0.874404, Average Loss  0.867721, Time  0.264209
2021-09-16 14:29:52.038641 : Epoch  6, Batch   1742, Loss  0.846397, Average Loss  0.869486, Time  0.238503
2021-09-16 14:29:53.239096 : Epoch  8, Batch   1349, Loss  0.869070, Average Loss  0.867709, Time  0.263947
2021-09-16 14:29:54.663731 : Epoch  6, Batch   1743, Loss  0.888172, Average Loss  0.869571, Time  0.238274
2021-09-16 14:29:56.219498 : Epoch  8, Batch   1350, Loss  0.870244, Average Loss  0.867816, Time  0.276250
2021-09-16 14:29:57.294102 : Epoch  6, Batch   1744, Loss  0.868579, Average Loss  0.869530, Time  0.238202
2021-09-16 14:29:59.188395 : Epoch  8, Batch   1351, Loss  0.854237, Average Loss  0.867751, Time  0.264656
2021-09-16 14:29:59.895102 : Epoch  6, Batch   1745, Loss  0.875575, Average Loss  0.869564, Time  0.238530
2021-09-16 14:30:02.158360 : Epoch  8, Batch   1352, Loss  0.851443, Average Loss  0.867524, Time  0.264452
2021-09-16 14:30:02.505286 : Epoch  6, Batch   1746, Loss  0.862216, Average Loss  0.869508, Time  0.238325
2021-09-16 14:30:05.118068 : Epoch  8, Batch   1353, Loss  0.887207, Average Loss  0.867645, Time  0.263519
2021-09-16 14:30:05.118254 : Epoch  6, Batch   1747, Loss  0.876239, Average Loss  0.869381, Time  0.238624
2021-09-16 14:30:07.734220 : Epoch  6, Batch   1748, Loss  0.863816, Average Loss  0.869417, Time  0.238245
2021-09-16 14:30:08.077597 : Epoch  8, Batch   1354, Loss  0.858471, Average Loss  0.867707, Time  0.263644
2021-09-16 14:30:10.338205 : Epoch  6, Batch   1749, Loss  0.896401, Average Loss  0.869564, Time  0.238688
2021-09-16 14:30:11.055310 : Epoch  8, Batch   1355, Loss  0.897894, Average Loss  0.867880, Time  0.265190
2021-09-16 14:30:12.955134 : Epoch  6, Batch   1750, Loss  0.866258, Average Loss  0.869545, Time  0.238004
2021-09-16 14:30:14.051561 : Epoch  8, Batch   1356, Loss  0.884673, Average Loss  0.867939, Time  0.264066
2021-09-16 14:30:15.555910 : Epoch  6, Batch   1751, Loss  0.873673, Average Loss  0.869444, Time  0.238416
2021-09-16 14:30:17.010417 : Epoch  8, Batch   1357, Loss  0.859930, Average Loss  0.867867, Time  0.263697
2021-09-16 14:30:18.193960 : Epoch  6, Batch   1752, Loss  0.861101, Average Loss  0.869387, Time  0.238303
2021-09-16 14:30:20.001776 : Epoch  8, Batch   1358, Loss  0.876266, Average Loss  0.868000, Time  0.263806
2021-09-16 14:30:20.828276 : Epoch  6, Batch   1753, Loss  0.891046, Average Loss  0.869505, Time  0.238196
2021-09-16 14:30:22.961166 : Epoch  8, Batch   1359, Loss  0.868018, Average Loss  0.868034, Time  0.264169
2021-09-16 14:30:23.439991 : Epoch  6, Batch   1754, Loss  0.873861, Average Loss  0.869474, Time  0.238901
2021-09-16 14:30:25.917494 : Epoch  8, Batch   1360, Loss  0.882958, Average Loss  0.868025, Time  0.265819
2021-09-16 14:30:26.048988 : Epoch  6, Batch   1755, Loss  0.882198, Average Loss  0.869493, Time  0.238265
2021-09-16 14:30:28.698639 : Epoch  6, Batch   1756, Loss  0.870297, Average Loss  0.869391, Time  0.238802
2021-09-16 14:30:28.885286 : Epoch  8, Batch   1361, Loss  0.883367, Average Loss  0.868067, Time  0.264879
2021-09-16 14:30:31.312791 : Epoch  6, Batch   1757, Loss  0.873140, Average Loss  0.869326, Time  0.238294
2021-09-16 14:30:31.856295 : Epoch  8, Batch   1362, Loss  0.845681, Average Loss  0.867894, Time  0.264094
2021-09-16 14:30:33.940300 : Epoch  6, Batch   1758, Loss  0.867468, Average Loss  0.869281, Time  0.239498
2021-09-16 14:30:34.831541 : Epoch  8, Batch   1363, Loss  0.859318, Average Loss  0.867844, Time  0.264134
2021-09-16 14:30:36.582100 : Epoch  6, Batch   1759, Loss  0.873225, Average Loss  0.869217, Time  0.238631
2021-09-16 14:30:37.790865 : Epoch  8, Batch   1364, Loss  0.847703, Average Loss  0.867821, Time  0.264552
2021-09-16 14:30:39.245894 : Epoch  6, Batch   1760, Loss  0.870302, Average Loss  0.869289, Time  0.258140
2021-09-16 14:30:40.794337 : Epoch  8, Batch   1365, Loss  0.875046, Average Loss  0.868015, Time  0.277860
2021-09-16 14:30:41.962666 : Epoch  6, Batch   1761, Loss  0.874860, Average Loss  0.869423, Time  0.260418
2021-09-16 14:30:43.753929 : Epoch  8, Batch   1366, Loss  0.882533, Average Loss  0.868189, Time  0.265127
2021-09-16 14:30:44.607822 : Epoch  6, Batch   1762, Loss  0.844069, Average Loss  0.869303, Time  0.241486
2021-09-16 14:30:46.711613 : Epoch  8, Batch   1367, Loss  0.871223, Average Loss  0.868230, Time  0.264009
2021-09-16 14:30:47.231287 : Epoch  6, Batch   1763, Loss  0.866400, Average Loss  0.869224, Time  0.239068
2021-09-16 14:30:49.667143 : Epoch  8, Batch   1368, Loss  0.877239, Average Loss  0.868289, Time  0.263704
2021-09-16 14:30:49.840058 : Epoch  6, Batch   1764, Loss  0.854893, Average Loss  0.869145, Time  0.240616
2021-09-16 14:30:52.466745 : Epoch  6, Batch   1765, Loss  0.866390, Average Loss  0.869168, Time  0.239151
2021-09-16 14:30:52.622075 : Epoch  8, Batch   1369, Loss  0.891466, Average Loss  0.868453, Time  0.264319
2021-09-16 14:30:55.084087 : Epoch  6, Batch   1766, Loss  0.862071, Average Loss  0.869127, Time  0.238261
2021-09-16 14:30:55.574945 : Epoch  8, Batch   1370, Loss  0.871321, Average Loss  0.868509, Time  0.263291
2021-09-16 14:30:57.717059 : Epoch  6, Batch   1767, Loss  0.866905, Average Loss  0.869130, Time  0.239459
2021-09-16 14:30:58.526929 : Epoch  8, Batch   1371, Loss  0.854908, Average Loss  0.868485, Time  0.264099
2021-09-16 14:31:00.328950 : Epoch  6, Batch   1768, Loss  0.888261, Average Loss  0.869270, Time  0.240049
2021-09-16 14:31:01.494732 : Epoch  8, Batch   1372, Loss  0.859118, Average Loss  0.868520, Time  0.264483
2021-09-16 14:31:02.979994 : Epoch  6, Batch   1769, Loss  0.856876, Average Loss  0.869286, Time  0.261646
2021-09-16 14:31:04.504526 : Epoch  8, Batch   1373, Loss  0.859551, Average Loss  0.868477, Time  0.264519
2021-09-16 14:31:05.594082 : Epoch  6, Batch   1770, Loss  0.854846, Average Loss  0.869229, Time  0.238776
2021-09-16 14:31:07.471301 : Epoch  8, Batch   1374, Loss  0.865643, Average Loss  0.868505, Time  0.263937
2021-09-16 14:31:08.224347 : Epoch  6, Batch   1771, Loss  0.875455, Average Loss  0.869266, Time  0.240842
2021-09-16 14:31:10.430666 : Epoch  8, Batch   1375, Loss  0.857367, Average Loss  0.868560, Time  0.264190
2021-09-16 14:31:10.837264 : Epoch  6, Batch   1772, Loss  0.862456, Average Loss  0.869303, Time  0.238594
2021-09-16 14:31:13.399983 : Epoch  8, Batch   1376, Loss  0.875050, Average Loss  0.868637, Time  0.264787
2021-09-16 14:31:13.477728 : Epoch  6, Batch   1773, Loss  0.852281, Average Loss  0.869145, Time  0.238712
2021-09-16 14:31:16.126093 : Epoch  6, Batch   1774, Loss  0.859922, Average Loss  0.869112, Time  0.239145
2021-09-16 14:31:16.406945 : Epoch  8, Batch   1377, Loss  0.856334, Average Loss  0.868509, Time  0.264509
2021-09-16 14:31:18.737866 : Epoch  6, Batch   1775, Loss  0.864914, Average Loss  0.869153, Time  0.239974
2021-09-16 14:31:19.359859 : Epoch  8, Batch   1378, Loss  0.859398, Average Loss  0.868399, Time  0.264462
2021-09-16 14:31:21.375796 : Epoch  6, Batch   1776, Loss  0.862562, Average Loss  0.869111, Time  0.238526
2021-09-16 14:31:22.342926 : Epoch  8, Batch   1379, Loss  0.881465, Average Loss  0.868420, Time  0.263537
2021-09-16 14:31:23.979903 : Epoch  6, Batch   1777, Loss  0.877067, Average Loss  0.869114, Time  0.238342
2021-09-16 14:31:25.321494 : Epoch  8, Batch   1380, Loss  0.884913, Average Loss  0.868408, Time  0.275977
2021-09-16 14:31:26.580027 : Epoch  6, Batch   1778, Loss  0.872731, Average Loss  0.869230, Time  0.238433
2021-09-16 14:31:28.311164 : Epoch  8, Batch   1381, Loss  0.858863, Average Loss  0.868287, Time  0.265779
2021-09-16 14:31:29.204941 : Epoch  6, Batch   1779, Loss  0.877087, Average Loss  0.869385, Time  0.240518
2021-09-16 14:31:31.320434 : Epoch  8, Batch   1382, Loss  0.874343, Average Loss  0.868326, Time  0.264431
2021-09-16 14:31:31.836884 : Epoch  6, Batch   1780, Loss  0.880463, Average Loss  0.869405, Time  0.240228
2021-09-16 14:31:34.314533 : Epoch  8, Batch   1383, Loss  0.862857, Average Loss  0.868245, Time  0.264575
2021-09-16 14:31:34.442076 : Epoch  6, Batch   1781, Loss  0.864013, Average Loss  0.869418, Time  0.238580
2021-09-16 14:31:37.062949 : Epoch  6, Batch   1782, Loss  0.879289, Average Loss  0.869558, Time  0.238074
2021-09-16 14:31:37.283863 : Epoch  8, Batch   1384, Loss  0.863839, Average Loss  0.868191, Time  0.264247
2021-09-16 14:31:39.692909 : Epoch  6, Batch   1783, Loss  0.889763, Average Loss  0.869665, Time  0.238269
2021-09-16 14:31:40.298066 : Epoch  8, Batch   1385, Loss  0.874125, Average Loss  0.868305, Time  0.264647
2021-09-16 14:31:42.311960 : Epoch  6, Batch   1784, Loss  0.876178, Average Loss  0.869664, Time  0.238418
2021-09-16 14:31:43.272988 : Epoch  8, Batch   1386, Loss  0.860183, Average Loss  0.868365, Time  0.264268
2021-09-16 14:31:44.948911 : Epoch  6, Batch   1785, Loss  0.862495, Average Loss  0.869544, Time  0.240481
2021-09-16 14:31:46.237322 : Epoch  8, Batch   1387, Loss  0.872157, Average Loss  0.868502, Time  0.263455
2021-09-16 14:31:47.577980 : Epoch  6, Batch   1786, Loss  0.862965, Average Loss  0.869520, Time  0.238528
2021-09-16 14:31:49.192016 : Epoch  8, Batch   1388, Loss  0.860913, Average Loss  0.868419, Time  0.264247
2021-09-16 14:31:50.191014 : Epoch  6, Batch   1787, Loss  0.880645, Average Loss  0.869518, Time  0.238601
2021-09-16 14:31:52.186560 : Epoch  8, Batch   1389, Loss  0.878325, Average Loss  0.868521, Time  0.264798
2021-09-16 14:31:52.791954 : Epoch  6, Batch   1788, Loss  0.874569, Average Loss  0.869501, Time  0.238246
2021-09-16 14:31:55.150496 : Epoch  8, Batch   1390, Loss  0.881506, Average Loss  0.868544, Time  0.264133
2021-09-16 14:31:55.432060 : Epoch  6, Batch   1789, Loss  0.874131, Average Loss  0.869452, Time  0.238313
2021-09-16 14:31:58.043839 : Epoch  6, Batch   1790, Loss  0.839166, Average Loss  0.869352, Time  0.238692
2021-09-16 14:31:58.134739 : Epoch  8, Batch   1391, Loss  0.888744, Average Loss  0.868632, Time  0.263923
2021-09-16 14:32:00.661184 : Epoch  6, Batch   1791, Loss  0.868566, Average Loss  0.869304, Time  0.239278
2021-09-16 14:32:01.096129 : Epoch  8, Batch   1392, Loss  0.845053, Average Loss  0.868528, Time  0.265057
2021-09-16 14:32:03.271375 : Epoch  6, Batch   1792, Loss  0.847414, Average Loss  0.869261, Time  0.240015
2021-09-16 14:32:04.068848 : Epoch  8, Batch   1393, Loss  0.856839, Average Loss  0.868563, Time  0.265834
2021-09-16 14:32:05.897976 : Epoch  6, Batch   1793, Loss  0.874101, Average Loss  0.869364, Time  0.239049
2021-09-16 14:32:07.071775 : Epoch  8, Batch   1394, Loss  0.860638, Average Loss  0.868562, Time  0.265366
2021-09-16 14:32:08.540068 : Epoch  6, Batch   1794, Loss  0.858951, Average Loss  0.869372, Time  0.238569
2021-09-16 14:32:10.076283 : Epoch  8, Batch   1395, Loss  0.908794, Average Loss  0.868705, Time  0.265348
2021-09-16 14:32:11.149988 : Epoch  6, Batch   1795, Loss  0.850869, Average Loss  0.869306, Time  0.238348
2021-09-16 14:32:13.070872 : Epoch  8, Batch   1396, Loss  0.864648, Average Loss  0.868738, Time  0.276839
2021-09-16 14:32:13.759098 : Epoch  6, Batch   1796, Loss  0.868611, Average Loss  0.869259, Time  0.238519
2021-09-16 14:32:16.054431 : Epoch  8, Batch   1397, Loss  0.880374, Average Loss  0.868775, Time  0.264983
2021-09-16 14:32:16.371762 : Epoch  6, Batch   1797, Loss  0.884028, Average Loss  0.869447, Time  0.238251
2021-09-16 14:32:19.009099 : Epoch  6, Batch   1798, Loss  0.848433, Average Loss  0.869353, Time  0.238682
2021-09-16 14:32:19.014351 : Epoch  8, Batch   1398, Loss  0.882718, Average Loss  0.868959, Time  0.264889
2021-09-16 14:32:21.619097 : Epoch  6, Batch   1799, Loss  0.879220, Average Loss  0.869409, Time  0.239613
2021-09-16 14:32:22.039354 : Epoch  8, Batch   1399, Loss  0.862262, Average Loss  0.868921, Time  0.266272
2021-09-16 14:32:24.257220 : Epoch  6, Batch   1800, Loss  0.880691, Average Loss  0.869442, Time  0.239033
2021-09-16 14:32:25.000755 : Epoch  8, Batch   1400, Loss  0.875775, Average Loss  0.868905, Time  0.264713
2021-09-16 14:32:26.891885 : Epoch  6, Batch   1801, Loss  0.879265, Average Loss  0.869506, Time  0.238646
2021-09-16 14:32:27.995307 : Epoch  8, Batch   1401, Loss  0.869754, Average Loss  0.868845, Time  0.264844
2021-09-16 14:32:29.500937 : Epoch  6, Batch   1802, Loss  0.872121, Average Loss  0.869418, Time  0.238663
2021-09-16 14:32:30.983790 : Epoch  8, Batch   1402, Loss  0.869993, Average Loss  0.868719, Time  0.263434
2021-09-16 14:32:32.126884 : Epoch  6, Batch   1803, Loss  0.872621, Average Loss  0.869473, Time  0.238788
2021-09-16 14:32:33.973335 : Epoch  8, Batch   1403, Loss  0.848713, Average Loss  0.868493, Time  0.263767
2021-09-16 14:32:34.737843 : Epoch  6, Batch   1804, Loss  0.888330, Average Loss  0.869612, Time  0.238065
2021-09-16 14:32:36.935476 : Epoch  8, Batch   1404, Loss  0.876246, Average Loss  0.868546, Time  0.264436
2021-09-16 14:32:37.384047 : Epoch  6, Batch   1805, Loss  0.873058, Average Loss  0.869676, Time  0.247196
2021-09-16 14:32:39.918487 : Epoch  8, Batch   1405, Loss  0.861654, Average Loss  0.868525, Time  0.264695
2021-09-16 14:32:39.998766 : Epoch  6, Batch   1806, Loss  0.859153, Average Loss  0.869630, Time  0.239279
2021-09-16 14:32:42.597320 : Epoch  6, Batch   1807, Loss  0.868565, Average Loss  0.869592, Time  0.238373
2021-09-16 14:32:42.881887 : Epoch  8, Batch   1406, Loss  0.885587, Average Loss  0.868608, Time  0.263946
2021-09-16 14:32:45.237738 : Epoch  6, Batch   1808, Loss  0.882758, Average Loss  0.869651, Time  0.238150
2021-09-16 14:32:45.838267 : Epoch  8, Batch   1407, Loss  0.865982, Average Loss  0.868559, Time  0.264441
2021-09-16 14:32:47.894809 : Epoch  6, Batch   1809, Loss  0.867869, Average Loss  0.869630, Time  0.239266
2021-09-16 14:32:48.800973 : Epoch  8, Batch   1408, Loss  0.882851, Average Loss  0.868564, Time  0.265136
2021-09-16 14:32:50.505088 : Epoch  6, Batch   1810, Loss  0.895328, Average Loss  0.869786, Time  0.240699
2021-09-16 14:32:53.119867 : Epoch  6, Batch   1811, Loss  0.889429, Average Loss  0.869870, Time  0.238515
2021-09-16 14:32:55.763759 : Epoch  6, Batch   1812, Loss  0.853619, Average Loss  0.869674, Time  0.252059
2021-09-16 14:32:58.393141 : Epoch  6, Batch   1813, Loss  0.881827, Average Loss  0.869676, Time  0.239414
2021-09-16 14:33:01.028337 : Epoch  6, Batch   1814, Loss  0.872761, Average Loss  0.869596, Time  0.238327
2021-09-16 14:33:03.636095 : Epoch  6, Batch   1815, Loss  0.861764, Average Loss  0.869547, Time  0.238234
2021-09-16 14:33:06.281738 : Epoch  6, Batch   1816, Loss  0.846474, Average Loss  0.869421, Time  0.238475
2021-09-16 14:33:08.887088 : Epoch  6, Batch   1817, Loss  0.843461, Average Loss  0.869244, Time  0.238284
2021-09-16 14:33:11.514822 : Epoch  6, Batch   1818, Loss  0.887827, Average Loss  0.869421, Time  0.238445
2021-09-16 14:33:14.151413 : Epoch  6, Batch   1819, Loss  0.877155, Average Loss  0.869426, Time  0.238230
2021-09-16 14:33:16.763095 : Epoch  6, Batch   1820, Loss  0.859343, Average Loss  0.869444, Time  0.238493
2021-09-16 14:37:20.605696 : CheckPoint: Validation Loss  0.00029793, Best Loss  0.00029207
2021-09-16 14:37:23.205891 : Epoch  6, Batch   1821, Loss  0.872307, Average Loss  0.869463, Time  0.239520
2021-09-16 14:37:25.157330 : CheckPoint: Validation Loss  0.00030120, Best Loss  0.00029295
2021-09-16 14:37:25.819888 : Epoch  6, Batch   1822, Loss  0.877974, Average Loss  0.869507, Time  0.238487
2021-09-16 14:37:28.234504 : Epoch  8, Batch   1409, Loss  0.864604, Average Loss  0.868453, Time  0.266682
2021-09-16 14:37:28.484867 : Epoch  6, Batch   1823, Loss  0.880439, Average Loss  0.869611, Time  0.238356
2021-09-16 14:37:31.086917 : Epoch  6, Batch   1824, Loss  0.858253, Average Loss  0.869495, Time  0.238712
2021-09-16 14:37:31.296672 : Epoch  8, Batch   1410, Loss  0.876694, Average Loss  0.868492, Time  0.266258
2021-09-16 14:37:33.731752 : Epoch  6, Batch   1825, Loss  0.867263, Average Loss  0.869385, Time  0.238512
2021-09-16 14:37:34.365529 : Epoch  8, Batch   1411, Loss  0.862840, Average Loss  0.868393, Time  0.266433
2021-09-16 14:37:36.348702 : Epoch  6, Batch   1826, Loss  0.857378, Average Loss  0.869286, Time  0.239028
2021-09-16 14:37:37.451666 : Epoch  8, Batch   1412, Loss  0.875288, Average Loss  0.868443, Time  0.279338
2021-09-16 14:37:38.970758 : Epoch  6, Batch   1827, Loss  0.856113, Average Loss  0.869185, Time  0.238524
2021-09-16 14:37:40.525087 : Epoch  8, Batch   1413, Loss  0.857387, Average Loss  0.868365, Time  0.267018
2021-09-16 14:37:41.595078 : Epoch  6, Batch   1828, Loss  0.890378, Average Loss  0.869277, Time  0.239426
2021-09-16 14:37:43.597256 : Epoch  8, Batch   1414, Loss  0.868422, Average Loss  0.868341, Time  0.266409
2021-09-16 14:37:44.212961 : Epoch  6, Batch   1829, Loss  0.858644, Average Loss  0.869197, Time  0.238138
2021-09-16 14:37:46.640354 : Epoch  8, Batch   1415, Loss  0.893018, Average Loss  0.868527, Time  0.266152
2021-09-16 14:37:46.822168 : Epoch  6, Batch   1830, Loss  0.884910, Average Loss  0.869368, Time  0.238842
2021-09-16 14:37:49.439850 : Epoch  6, Batch   1831, Loss  0.882794, Average Loss  0.869394, Time  0.238537
2021-09-16 14:37:49.704888 : Epoch  8, Batch   1416, Loss  0.867316, Average Loss  0.868435, Time  0.267035
2021-09-16 14:37:52.073705 : Epoch  6, Batch   1832, Loss  0.887716, Average Loss  0.869471, Time  0.238248
2021-09-16 14:37:52.746957 : Epoch  8, Batch   1417, Loss  0.885529, Average Loss  0.868586, Time  0.265189
2021-09-16 14:37:54.700916 : Epoch  6, Batch   1833, Loss  0.877136, Average Loss  0.869582, Time  0.239114
2021-09-16 14:37:55.741929 : Epoch  8, Batch   1418, Loss  0.862903, Average Loss  0.868514, Time  0.264934
2021-09-16 14:37:57.332889 : Epoch  6, Batch   1834, Loss  0.876510, Average Loss  0.869650, Time  0.238564
2021-09-16 14:37:58.703174 : Epoch  8, Batch   1419, Loss  0.877456, Average Loss  0.868544, Time  0.265312
2021-09-16 14:37:59.934381 : Epoch  6, Batch   1835, Loss  0.876166, Average Loss  0.869752, Time  0.239469
2021-09-16 14:38:01.662118 : Epoch  8, Batch   1420, Loss  0.856941, Average Loss  0.868558, Time  0.264573
2021-09-16 14:38:02.564735 : Epoch  6, Batch   1836, Loss  0.880870, Average Loss  0.869764, Time  0.238530
2021-09-16 14:38:04.640520 : Epoch  8, Batch   1421, Loss  0.865946, Average Loss  0.868543, Time  0.264903
2021-09-16 14:38:05.215750 : Epoch  6, Batch   1837, Loss  0.875973, Average Loss  0.869851, Time  0.239494
2021-09-16 14:38:07.607278 : Epoch  8, Batch   1422, Loss  0.882949, Average Loss  0.868614, Time  0.264141
2021-09-16 14:38:07.831795 : Epoch  6, Batch   1838, Loss  0.866761, Average Loss  0.869819, Time  0.238490
2021-09-16 14:38:10.429011 : Epoch  6, Batch   1839, Loss  0.886434, Average Loss  0.869977, Time  0.238781
2021-09-16 14:38:10.589464 : Epoch  8, Batch   1423, Loss  0.868241, Average Loss  0.868630, Time  0.264554
2021-09-16 14:38:13.039740 : Epoch  6, Batch   1840, Loss  0.872322, Average Loss  0.869928, Time  0.239350
2021-09-16 14:38:13.565749 : Epoch  8, Batch   1424, Loss  0.856430, Average Loss  0.868582, Time  0.263824
2021-09-16 14:38:15.675795 : Epoch  6, Batch   1841, Loss  0.866854, Average Loss  0.869875, Time  0.238457
2021-09-16 14:38:16.562343 : Epoch  8, Batch   1425, Loss  0.872044, Average Loss  0.868697, Time  0.264616
2021-09-16 14:38:18.286709 : Epoch  6, Batch   1842, Loss  0.886282, Average Loss  0.870027, Time  0.238710
2021-09-16 14:38:19.522260 : Epoch  8, Batch   1426, Loss  0.877476, Average Loss  0.868764, Time  0.263880
2021-09-16 14:38:20.897155 : Epoch  6, Batch   1843, Loss  0.873899, Average Loss  0.870125, Time  0.238721
2021-09-16 14:38:22.493787 : Epoch  8, Batch   1427, Loss  0.861892, Average Loss  0.868580, Time  0.275772
2021-09-16 14:38:23.540941 : Epoch  6, Batch   1844, Loss  0.874602, Average Loss  0.870228, Time  0.238566
2021-09-16 14:38:25.465639 : Epoch  8, Batch   1428, Loss  0.864372, Average Loss  0.868594, Time  0.264525
2021-09-16 14:38:26.150925 : Epoch  6, Batch   1845, Loss  0.879422, Average Loss  0.870310, Time  0.238270
2021-09-16 14:38:28.463394 : Epoch  8, Batch   1429, Loss  0.871263, Average Loss  0.868601, Time  0.265218
2021-09-16 14:38:28.782845 : Epoch  6, Batch   1846, Loss  0.848291, Average Loss  0.870251, Time  0.238617
2021-09-16 14:38:31.395113 : Epoch  6, Batch   1847, Loss  0.887147, Average Loss  0.870331, Time  0.238281
2021-09-16 14:38:31.448736 : Epoch  8, Batch   1430, Loss  0.847590, Average Loss  0.868542, Time  0.265325
2021-09-16 14:38:34.009138 : Epoch  6, Batch   1848, Loss  0.873042, Average Loss  0.870311, Time  0.238688
2021-09-16 14:38:34.412265 : Epoch  8, Batch   1431, Loss  0.855138, Average Loss  0.868489, Time  0.264994
2021-09-16 14:38:36.609318 : Epoch  6, Batch   1849, Loss  0.845489, Average Loss  0.870252, Time  0.238559
2021-09-16 14:38:37.355820 : Epoch  8, Batch   1432, Loss  0.870235, Average Loss  0.868405, Time  0.264294
2021-09-16 14:38:39.226877 : Epoch  6, Batch   1850, Loss  0.884410, Average Loss  0.870234, Time  0.238353
2021-09-16 14:38:40.308336 : Epoch  8, Batch   1433, Loss  0.866855, Average Loss  0.868337, Time  0.264537
2021-09-16 14:38:41.830827 : Epoch  6, Batch   1851, Loss  0.880719, Average Loss  0.870247, Time  0.238820
2021-09-16 14:38:43.260513 : Epoch  8, Batch   1434, Loss  0.846669, Average Loss  0.868229, Time  0.263654
2021-09-16 14:38:44.446967 : Epoch  6, Batch   1852, Loss  0.863449, Average Loss  0.870262, Time  0.238367
2021-09-16 14:38:46.214328 : Epoch  8, Batch   1435, Loss  0.867751, Average Loss  0.868323, Time  0.264333
2021-09-16 14:38:47.054999 : Epoch  6, Batch   1853, Loss  0.876534, Average Loss  0.870281, Time  0.238597
2021-09-16 14:38:49.181960 : Epoch  8, Batch   1436, Loss  0.874110, Average Loss  0.868468, Time  0.265148
2021-09-16 14:38:49.663166 : Epoch  6, Batch   1854, Loss  0.860664, Average Loss  0.870263, Time  0.238713
2021-09-16 14:38:52.140302 : Epoch  8, Batch   1437, Loss  0.855298, Average Loss  0.868431, Time  0.263943
2021-09-16 14:38:52.308167 : Epoch  6, Batch   1855, Loss  0.884642, Average Loss  0.870322, Time  0.237993
2021-09-16 14:38:54.899989 : Epoch  6, Batch   1856, Loss  0.860172, Average Loss  0.870269, Time  0.238272
2021-09-16 14:38:54.937557 : Saving Model after 6-th Epoch.
2021-09-16 14:38:55.133473 : Epoch  8, Batch   1438, Loss  0.867454, Average Loss  0.868504, Time  0.264896
2021-09-16 14:38:55.857594 : Epoch Finished.
2021-09-16 14:38:58.166312 : Epoch  8, Batch   1439, Loss  0.874697, Average Loss  0.868528, Time  0.265133
2021-09-16 14:39:01.139595 : Epoch  8, Batch   1440, Loss  0.845563, Average Loss  0.868364, Time  0.263889
2021-09-16 14:39:04.102473 : Epoch  8, Batch   1441, Loss  0.856270, Average Loss  0.868408, Time  0.265816
2021-09-16 14:39:04.631585 : Batch Shuffled
2021-09-16 14:39:07.154017 : Epoch  8, Batch   1442, Loss  0.885070, Average Loss  0.868580, Time  0.265386
2021-09-16 14:39:07.241116 : Epoch  7, Batch      1, Loss  0.859568, Average Loss  0.870231, Time  0.272949
2021-09-16 14:39:09.850125 : Epoch  7, Batch      2, Loss  0.880123, Average Loss  0.870209, Time  0.244492
2021-09-16 14:39:10.159522 : Epoch  8, Batch   1443, Loss  0.865590, Average Loss  0.868663, Time  0.270162
2021-09-16 14:39:12.469276 : Epoch  7, Batch      3, Loss  0.863182, Average Loss  0.870265, Time  0.252915
2021-09-16 14:39:13.110307 : Epoch  8, Batch   1444, Loss  0.859497, Average Loss  0.868608, Time  0.263761
2021-09-16 14:39:15.035985 : Epoch  7, Batch      4, Loss  0.864655, Average Loss  0.870188, Time  0.238872
2021-09-16 14:39:16.070910 : Epoch  8, Batch   1445, Loss  0.853321, Average Loss  0.868507, Time  0.265843
2021-09-16 14:39:17.609964 : Epoch  7, Batch      5, Loss  0.857019, Average Loss  0.870059, Time  0.238943
2021-09-16 14:39:19.132769 : Epoch  8, Batch   1446, Loss  0.840450, Average Loss  0.868405, Time  0.265753
2021-09-16 14:39:20.203117 : Epoch  7, Batch      6, Loss  0.875380, Average Loss  0.870063, Time  0.238347
2021-09-16 14:39:22.205039 : Epoch  8, Batch   1447, Loss  0.861718, Average Loss  0.868259, Time  0.265834
2021-09-16 14:39:22.778107 : Epoch  7, Batch      7, Loss  0.885314, Average Loss  0.870082, Time  0.239050
2021-09-16 14:39:25.270295 : Epoch  8, Batch   1448, Loss  0.857594, Average Loss  0.868215, Time  0.266198
2021-09-16 14:39:25.354955 : Epoch  7, Batch      8, Loss  0.875672, Average Loss  0.870246, Time  0.238089
2021-09-16 14:39:27.951111 : Epoch  7, Batch      9, Loss  0.878703, Average Loss  0.870346, Time  0.238241
2021-09-16 14:39:28.343149 : Epoch  8, Batch   1449, Loss  0.889526, Average Loss  0.868351, Time  0.265272
2021-09-16 14:39:30.551230 : Epoch  7, Batch     10, Loss  0.849902, Average Loss  0.870280, Time  0.238622
2021-09-16 14:39:31.392338 : Epoch  8, Batch   1450, Loss  0.855325, Average Loss  0.868331, Time  0.265044
2021-09-16 14:39:33.165813 : Epoch  7, Batch     11, Loss  0.882342, Average Loss  0.870211, Time  0.238519
2021-09-16 14:39:34.456855 : Epoch  8, Batch   1451, Loss  0.870457, Average Loss  0.868313, Time  0.265857
2021-09-16 14:39:35.757772 : Epoch  7, Batch     12, Loss  0.865911, Average Loss  0.870202, Time  0.238583
2021-09-16 14:39:37.522461 : Epoch  8, Batch   1452, Loss  0.878406, Average Loss  0.868412, Time  0.265690
2021-09-16 14:39:38.333992 : Epoch  7, Batch     13, Loss  0.863261, Average Loss  0.870247, Time  0.238679
2021-09-16 14:39:40.603289 : Epoch  8, Batch   1453, Loss  0.866548, Average Loss  0.868352, Time  0.266640
2021-09-16 14:39:40.912945 : Epoch  7, Batch     14, Loss  0.870715, Average Loss  0.870297, Time  0.238799
2021-09-16 14:39:43.514857 : Epoch  7, Batch     15, Loss  0.852028, Average Loss  0.870316, Time  0.238873
2021-09-16 14:39:43.672105 : Epoch  8, Batch   1454, Loss  0.882666, Average Loss  0.868481, Time  0.266239
2021-09-16 14:39:46.111138 : Epoch  7, Batch     16, Loss  0.883115, Average Loss  0.870405, Time  0.237922
2021-09-16 14:39:46.723351 : Epoch  8, Batch   1455, Loss  0.881621, Average Loss  0.868531, Time  0.265566
2021-09-16 14:39:48.689734 : Epoch  7, Batch     17, Loss  0.863508, Average Loss  0.870479, Time  0.239608
2021-09-16 14:39:49.790821 : Epoch  8, Batch   1456, Loss  0.881913, Average Loss  0.868648, Time  0.266096
2021-09-16 14:39:51.287136 : Epoch  7, Batch     18, Loss  0.862346, Average Loss  0.870411, Time  0.238159
2021-09-16 14:39:52.915220 : Epoch  8, Batch   1457, Loss  0.884367, Average Loss  0.868875, Time  0.266255
2021-09-16 14:39:53.853699 : Epoch  7, Batch     19, Loss  0.873076, Average Loss  0.870513, Time  0.238453
2021-09-16 14:39:55.987857 : Epoch  8, Batch   1458, Loss  0.861683, Average Loss  0.868864, Time  0.279989
2021-09-16 14:39:56.433963 : Epoch  7, Batch     20, Loss  0.866840, Average Loss  0.870535, Time  0.238615
2021-09-16 14:39:59.033857 : Epoch  7, Batch     21, Loss  0.860788, Average Loss  0.870434, Time  0.238064
2021-09-16 14:39:59.046137 : Epoch  8, Batch   1459, Loss  0.855399, Average Loss  0.868820, Time  0.267230
2021-09-16 14:40:01.637768 : Epoch  7, Batch     22, Loss  0.870990, Average Loss  0.870399, Time  0.238796
2021-09-16 14:40:02.097124 : Epoch  8, Batch   1460, Loss  0.870761, Average Loss  0.868917, Time  0.264405
2021-09-16 14:40:04.224866 : Epoch  7, Batch     23, Loss  0.875047, Average Loss  0.870411, Time  0.239036
2021-09-16 14:40:05.102272 : Epoch  8, Batch   1461, Loss  0.874278, Average Loss  0.869010, Time  0.267122
2021-09-16 14:40:06.805866 : Epoch  7, Batch     24, Loss  0.885513, Average Loss  0.870538, Time  0.238188
2021-09-16 14:40:08.105704 : Epoch  8, Batch   1462, Loss  0.860037, Average Loss  0.868989, Time  0.264041
2021-09-16 14:40:09.399659 : Epoch  7, Batch     25, Loss  0.868858, Average Loss  0.870501, Time  0.239600
2021-09-16 14:40:11.120529 : Epoch  8, Batch   1463, Loss  0.869041, Average Loss  0.868913, Time  0.264088
2021-09-16 14:40:11.993885 : Epoch  7, Batch     26, Loss  0.869167, Average Loss  0.870516, Time  0.238423
2021-09-16 14:40:14.101037 : Epoch  8, Batch   1464, Loss  0.862696, Average Loss  0.868933, Time  0.269522
2021-09-16 14:40:14.572960 : Epoch  7, Batch     27, Loss  0.874203, Average Loss  0.870563, Time  0.239100
2021-09-16 14:40:17.165802 : Epoch  7, Batch     28, Loss  0.844450, Average Loss  0.870485, Time  0.238831
2021-09-16 14:40:17.179790 : Epoch  8, Batch   1465, Loss  0.875667, Average Loss  0.869015, Time  0.265308
2021-09-16 14:40:19.759960 : Epoch  7, Batch     29, Loss  0.868005, Average Loss  0.870592, Time  0.238147
2021-09-16 14:40:20.233146 : Epoch  8, Batch   1466, Loss  0.874123, Average Loss  0.868974, Time  0.264477
2021-09-16 14:40:22.388886 : Epoch  7, Batch     30, Loss  0.880060, Average Loss  0.870617, Time  0.238563
2021-09-16 14:40:23.275950 : Epoch  8, Batch   1467, Loss  0.869117, Average Loss  0.868905, Time  0.264741
2021-09-16 14:40:25.015787 : Epoch  7, Batch     31, Loss  0.868850, Average Loss  0.870609, Time  0.238791
2021-09-16 14:40:26.332126 : Epoch  8, Batch   1468, Loss  0.849581, Average Loss  0.868855, Time  0.266245
2021-09-16 14:40:27.617004 : Epoch  7, Batch     32, Loss  0.869506, Average Loss  0.870628, Time  0.238201
2021-09-16 14:40:29.408344 : Epoch  8, Batch   1469, Loss  0.842765, Average Loss  0.868657, Time  0.264249
2021-09-16 14:40:30.201069 : Epoch  7, Batch     33, Loss  0.877578, Average Loss  0.870775, Time  0.238307
2021-09-16 14:40:32.461542 : Epoch  8, Batch   1470, Loss  0.874950, Average Loss  0.868653, Time  0.264274
2021-09-16 14:40:32.795763 : Epoch  7, Batch     34, Loss  0.886215, Average Loss  0.870907, Time  0.238123
2021-09-16 14:40:35.363691 : Epoch  7, Batch     35, Loss  0.855813, Average Loss  0.870741, Time  0.238623
2021-09-16 14:40:35.499429 : Epoch  8, Batch   1471, Loss  0.859185, Average Loss  0.868578, Time  0.265882
2021-09-16 14:40:37.949938 : Epoch  7, Batch     36, Loss  0.869157, Average Loss  0.870731, Time  0.238223
2021-09-16 14:40:38.547109 : Epoch  8, Batch   1472, Loss  0.877678, Average Loss  0.868763, Time  0.264389
2021-09-16 14:40:40.548071 : Epoch  7, Batch     37, Loss  0.861713, Average Loss  0.870606, Time  0.238375
2021-09-16 14:40:41.619841 : Epoch  8, Batch   1473, Loss  0.869805, Average Loss  0.868640, Time  0.277137
2021-09-16 14:40:43.133863 : Epoch  7, Batch     38, Loss  0.841808, Average Loss  0.870445, Time  0.238319
2021-09-16 14:40:44.675485 : Epoch  8, Batch   1474, Loss  0.845680, Average Loss  0.868565, Time  0.265109
2021-09-16 14:40:45.720727 : Epoch  7, Batch     39, Loss  0.882381, Average Loss  0.870453, Time  0.238252
2021-09-16 14:40:47.725999 : Epoch  8, Batch   1475, Loss  0.867238, Average Loss  0.868529, Time  0.264180
2021-09-16 14:40:48.304802 : Epoch  7, Batch     40, Loss  0.885423, Average Loss  0.870536, Time  0.238711
2021-09-16 14:40:50.776735 : Epoch  8, Batch   1476, Loss  0.882835, Average Loss  0.868674, Time  0.266148
2021-09-16 14:40:50.875725 : Epoch  7, Batch     41, Loss  0.858788, Average Loss  0.870358, Time  0.238650
2021-09-16 14:40:53.447922 : Epoch  7, Batch     42, Loss  0.866608, Average Loss  0.870211, Time  0.238934
2021-09-16 14:40:53.863400 : Epoch  8, Batch   1477, Loss  0.856990, Average Loss  0.868582, Time  0.265545
2021-09-16 14:40:56.021930 : Epoch  7, Batch     43, Loss  0.866461, Average Loss  0.870212, Time  0.238274
2021-09-16 14:40:56.914850 : Epoch  8, Batch   1478, Loss  0.863986, Average Loss  0.868614, Time  0.264810
2021-09-16 14:40:58.613570 : Epoch  7, Batch     44, Loss  0.863992, Average Loss  0.870126, Time  0.238622
2021-09-16 14:40:59.992762 : Epoch  8, Batch   1479, Loss  0.870656, Average Loss  0.868586, Time  0.265003
2021-09-16 14:41:01.199866 : Epoch  7, Batch     45, Loss  0.885972, Average Loss  0.870252, Time  0.238644
2021-09-16 14:41:03.037396 : Epoch  8, Batch   1480, Loss  0.884707, Average Loss  0.868622, Time  0.265041
2021-09-16 14:41:03.788817 : Epoch  7, Batch     46, Loss  0.858244, Average Loss  0.870226, Time  0.238238
2021-09-16 14:41:06.120938 : Epoch  8, Batch   1481, Loss  0.868972, Average Loss  0.868676, Time  0.265951
2021-09-16 14:41:06.386730 : Epoch  7, Batch     47, Loss  0.852457, Average Loss  0.870177, Time  0.238849
2021-09-16 14:41:08.966807 : Epoch  7, Batch     48, Loss  0.848889, Average Loss  0.870011, Time  0.239338
2021-09-16 14:41:09.186644 : Epoch  8, Batch   1482, Loss  0.865922, Average Loss  0.868702, Time  0.264865
2021-09-16 14:41:11.553704 : Epoch  7, Batch     49, Loss  0.868802, Average Loss  0.869922, Time  0.239412
2021-09-16 14:41:12.225247 : Epoch  8, Batch   1483, Loss  0.876446, Average Loss  0.868778, Time  0.265312
2021-09-16 14:41:14.132894 : Epoch  7, Batch     50, Loss  0.880319, Average Loss  0.869962, Time  0.238357
2021-09-16 14:41:15.291248 : Epoch  8, Batch   1484, Loss  0.843533, Average Loss  0.868679, Time  0.264682
2021-09-16 14:41:16.741048 : Epoch  7, Batch     51, Loss  0.853102, Average Loss  0.869914, Time  0.239135
2021-09-16 14:41:18.340438 : Epoch  8, Batch   1485, Loss  0.894162, Average Loss  0.869015, Time  0.265840
2021-09-16 14:41:19.308873 : Epoch  7, Batch     52, Loss  0.856499, Average Loss  0.869914, Time  0.238829
2021-09-16 14:41:21.404349 : Epoch  8, Batch   1486, Loss  0.882889, Average Loss  0.869098, Time  0.264951
2021-09-16 14:41:21.924865 : Epoch  7, Batch     53, Loss  0.881005, Average Loss  0.869969, Time  0.238454
2021-09-16 14:41:24.462346 : Epoch  8, Batch   1487, Loss  0.864177, Average Loss  0.869087, Time  0.265236
2021-09-16 14:41:24.520863 : Epoch  7, Batch     54, Loss  0.860937, Average Loss  0.869962, Time  0.238614
2021-09-16 14:41:27.086968 : Epoch  7, Batch     55, Loss  0.864041, Average Loss  0.869974, Time  0.238211
2021-09-16 14:41:27.527612 : Epoch  8, Batch   1488, Loss  0.857122, Average Loss  0.868965, Time  0.272200
2021-09-16 14:41:29.690138 : Epoch  7, Batch     56, Loss  0.874325, Average Loss  0.870032, Time  0.238419
2021-09-16 14:41:30.564271 : Epoch  8, Batch   1489, Loss  0.872734, Average Loss  0.869072, Time  0.265567
2021-09-16 14:41:32.290820 : Epoch  7, Batch     57, Loss  0.868784, Average Loss  0.869980, Time  0.238515
2021-09-16 14:41:33.627512 : Epoch  8, Batch   1490, Loss  0.877435, Average Loss  0.869158, Time  0.264466
2021-09-16 14:41:34.891987 : Epoch  7, Batch     58, Loss  0.871657, Average Loss  0.869964, Time  0.238036
2021-09-16 14:41:36.700560 : Epoch  8, Batch   1491, Loss  0.862492, Average Loss  0.869180, Time  0.264837
2021-09-16 14:41:37.475284 : Epoch  7, Batch     59, Loss  0.845087, Average Loss  0.869863, Time  0.238609
2021-09-16 14:41:39.775532 : Epoch  8, Batch   1492, Loss  0.884437, Average Loss  0.869118, Time  0.265546
2021-09-16 14:41:40.066088 : Epoch  7, Batch     60, Loss  0.883047, Average Loss  0.869882, Time  0.238517
2021-09-16 14:41:42.639941 : Epoch  7, Batch     61, Loss  0.867200, Average Loss  0.869826, Time  0.238267
2021-09-16 14:41:42.849276 : Epoch  8, Batch   1493, Loss  0.865310, Average Loss  0.869046, Time  0.268479
2021-09-16 14:41:45.221987 : Epoch  7, Batch     62, Loss  0.856571, Average Loss  0.869709, Time  0.239508
2021-09-16 14:41:45.966333 : Epoch  8, Batch   1494, Loss  0.879108, Average Loss  0.869145, Time  0.264709
2021-09-16 14:41:47.805700 : Epoch  7, Batch     63, Loss  0.860317, Average Loss  0.869683, Time  0.238431
2021-09-16 14:41:49.065948 : Epoch  8, Batch   1495, Loss  0.876499, Average Loss  0.869154, Time  0.265718
2021-09-16 14:41:50.379974 : Epoch  7, Batch     64, Loss  0.871163, Average Loss  0.869662, Time  0.238822
2021-09-16 14:41:52.133953 : Epoch  8, Batch   1496, Loss  0.857875, Average Loss  0.869102, Time  0.265486
2021-09-16 14:41:55.210228 : Epoch  8, Batch   1497, Loss  0.867071, Average Loss  0.869194, Time  0.264276
2021-09-16 14:41:58.279414 : Epoch  8, Batch   1498, Loss  0.881055, Average Loss  0.869281, Time  0.264886
2021-09-16 14:42:01.373859 : Epoch  8, Batch   1499, Loss  0.858439, Average Loss  0.869299, Time  0.267499
2021-09-16 14:42:04.468471 : Epoch  8, Batch   1500, Loss  0.856239, Average Loss  0.869306, Time  0.266129
2021-09-16 14:42:07.555884 : Epoch  8, Batch   1501, Loss  0.868433, Average Loss  0.869288, Time  0.265696
2021-09-16 14:42:10.616642 : Epoch  8, Batch   1502, Loss  0.872481, Average Loss  0.869274, Time  0.265317
2021-09-16 14:42:13.696913 : Epoch  8, Batch   1503, Loss  0.868849, Average Loss  0.869148, Time  0.278973
2021-09-16 14:42:16.762838 : Epoch  8, Batch   1504, Loss  0.867127, Average Loss  0.869183, Time  0.267060
2021-09-16 14:42:19.835037 : Epoch  8, Batch   1505, Loss  0.872377, Average Loss  0.869114, Time  0.265497
2021-09-16 14:42:22.912943 : Epoch  8, Batch   1506, Loss  0.887671, Average Loss  0.869229, Time  0.265629
2021-09-16 14:42:25.987310 : Epoch  8, Batch   1507, Loss  0.866758, Average Loss  0.869211, Time  0.265024
2021-09-16 14:42:29.071424 : Epoch  8, Batch   1508, Loss  0.847617, Average Loss  0.869112, Time  0.264999
2021-09-16 14:45:52.126688 : CheckPoint: Validation Loss  0.00029363, Best Loss  0.00029207
2021-09-16 14:45:54.708121 : Epoch  7, Batch     65, Loss  0.867774, Average Loss  0.869646, Time  0.240332
2021-09-16 14:45:57.317731 : Epoch  7, Batch     66, Loss  0.883268, Average Loss  0.869700, Time  0.238939
2021-09-16 14:45:59.929710 : Epoch  7, Batch     67, Loss  0.882387, Average Loss  0.869774, Time  0.238388
2021-09-16 14:46:02.514836 : Epoch  7, Batch     68, Loss  0.880026, Average Loss  0.869686, Time  0.238373
2021-09-16 14:46:05.104121 : Epoch  7, Batch     69, Loss  0.877197, Average Loss  0.869725, Time  0.238017
2021-09-16 14:46:07.710095 : Epoch  7, Batch     70, Loss  0.859035, Average Loss  0.869691, Time  0.238159
2021-09-16 14:46:10.314075 : Epoch  7, Batch     71, Loss  0.896595, Average Loss  0.869834, Time  0.238370
2021-09-16 14:46:12.884191 : Epoch  7, Batch     72, Loss  0.856870, Average Loss  0.869824, Time  0.238533
2021-09-16 14:46:15.476819 : Epoch  7, Batch     73, Loss  0.860054, Average Loss  0.869771, Time  0.239853
2021-09-16 14:46:18.083913 : Epoch  7, Batch     74, Loss  0.872936, Average Loss  0.869787, Time  0.239458
2021-09-16 14:46:20.670849 : Epoch  7, Batch     75, Loss  0.865764, Average Loss  0.869766, Time  0.239040
2021-09-16 14:46:23.249091 : Epoch  7, Batch     76, Loss  0.874182, Average Loss  0.869828, Time  0.238825
2021-09-16 14:46:25.857715 : Epoch  7, Batch     77, Loss  0.878190, Average Loss  0.869818, Time  0.238159
2021-09-16 14:46:28.454148 : Epoch  7, Batch     78, Loss  0.873130, Average Loss  0.869803, Time  0.238096
2021-09-16 14:46:31.034719 : Epoch  7, Batch     79, Loss  0.869302, Average Loss  0.869850, Time  0.238084
2021-09-16 14:46:33.621205 : Epoch  7, Batch     80, Loss  0.874858, Average Loss  0.869789, Time  0.238523
2021-09-16 14:46:36.221235 : Epoch  7, Batch     81, Loss  0.867498, Average Loss  0.869803, Time  0.238296
2021-09-16 14:46:38.807124 : Epoch  7, Batch     82, Loss  0.868537, Average Loss  0.869773, Time  0.238798
2021-09-16 14:46:41.434571 : Epoch  7, Batch     83, Loss  0.863980, Average Loss  0.869734, Time  0.238783
2021-09-16 14:46:44.046994 : Epoch  7, Batch     84, Loss  0.879527, Average Loss  0.869850, Time  0.239540
2021-09-16 14:46:46.634795 : Epoch  7, Batch     85, Loss  0.858115, Average Loss  0.869855, Time  0.239586
2021-09-16 14:46:49.234941 : Epoch  7, Batch     86, Loss  0.856380, Average Loss  0.869905, Time  0.238763
2021-09-16 14:46:51.830940 : Epoch  7, Batch     87, Loss  0.863718, Average Loss  0.869782, Time  0.238777
2021-09-16 14:46:54.429712 : Epoch  7, Batch     88, Loss  0.868650, Average Loss  0.869783, Time  0.238837
2021-09-16 14:46:57.030824 : Epoch  7, Batch     89, Loss  0.880402, Average Loss  0.869807, Time  0.238631
2021-09-16 14:46:59.591896 : Epoch  7, Batch     90, Loss  0.871249, Average Loss  0.869852, Time  0.238837
2021-09-16 14:47:02.159096 : Epoch  7, Batch     91, Loss  0.867032, Average Loss  0.869806, Time  0.238030
2021-09-16 14:47:04.779869 : Epoch  7, Batch     92, Loss  0.856774, Average Loss  0.869771, Time  0.238568
2021-09-16 14:47:07.369849 : Epoch  7, Batch     93, Loss  0.864514, Average Loss  0.869611, Time  0.238034
2021-09-16 14:47:09.995749 : Epoch  7, Batch     94, Loss  0.861135, Average Loss  0.869586, Time  0.238671
2021-09-16 14:47:11.135824 : CheckPoint: Validation Loss  0.00030881, Best Loss  0.00029295
2021-09-16 14:47:12.589955 : Epoch  7, Batch     95, Loss  0.869152, Average Loss  0.869563, Time  0.238205
2021-09-16 14:47:14.195266 : Epoch  8, Batch   1509, Loss  0.869734, Average Loss  0.869098, Time  0.265055
2021-09-16 14:47:15.179001 : Epoch  7, Batch     96, Loss  0.872778, Average Loss  0.869621, Time  0.239228
2021-09-16 14:47:17.284007 : Epoch  8, Batch   1510, Loss  0.886742, Average Loss  0.869230, Time  0.265611
2021-09-16 14:47:17.791215 : Epoch  7, Batch     97, Loss  0.862113, Average Loss  0.869477, Time  0.238424
2021-09-16 14:47:20.339830 : Epoch  8, Batch   1511, Loss  0.876580, Average Loss  0.869362, Time  0.265346
2021-09-16 14:47:20.397000 : Epoch  7, Batch     98, Loss  0.861604, Average Loss  0.869416, Time  0.239795
2021-09-16 14:47:22.969060 : Epoch  7, Batch     99, Loss  0.869467, Average Loss  0.869352, Time  0.238827
2021-09-16 14:47:23.394859 : Epoch  8, Batch   1512, Loss  0.866679, Average Loss  0.869356, Time  0.265305
2021-09-16 14:47:25.553729 : Epoch  7, Batch    100, Loss  0.899243, Average Loss  0.869497, Time  0.238667
2021-09-16 14:47:26.446548 : Epoch  8, Batch   1513, Loss  0.874059, Average Loss  0.869241, Time  0.266645
2021-09-16 14:47:28.155239 : Epoch  7, Batch    101, Loss  0.877017, Average Loss  0.869516, Time  0.238800
2021-09-16 14:47:29.507271 : Epoch  8, Batch   1514, Loss  0.874904, Average Loss  0.869211, Time  0.265444
2021-09-16 14:47:30.737144 : Epoch  7, Batch    102, Loss  0.889201, Average Loss  0.869625, Time  0.238447
2021-09-16 14:47:32.579825 : Epoch  8, Batch   1515, Loss  0.875754, Average Loss  0.869157, Time  0.278572
2021-09-16 14:47:33.318104 : Epoch  7, Batch    103, Loss  0.865239, Average Loss  0.869585, Time  0.238372
2021-09-16 14:47:35.646271 : Epoch  8, Batch   1516, Loss  0.875605, Average Loss  0.869138, Time  0.265379
2021-09-16 14:47:35.904898 : Epoch  7, Batch    104, Loss  0.848275, Average Loss  0.869475, Time  0.238465
2021-09-16 14:47:38.483797 : Epoch  7, Batch    105, Loss  0.868154, Average Loss  0.869441, Time  0.238569
2021-09-16 14:47:38.720250 : Epoch  8, Batch   1517, Loss  0.880348, Average Loss  0.869161, Time  0.265783
2021-09-16 14:47:41.065145 : Epoch  7, Batch    106, Loss  0.872021, Average Loss  0.869581, Time  0.238974
2021-09-16 14:47:41.767803 : Epoch  8, Batch   1518, Loss  0.871119, Average Loss  0.869201, Time  0.264837
2021-09-16 14:47:43.662967 : Epoch  7, Batch    107, Loss  0.845884, Average Loss  0.869478, Time  0.238123
2021-09-16 14:47:44.825778 : Epoch  8, Batch   1519, Loss  0.867894, Average Loss  0.869225, Time  0.264396
2021-09-16 14:47:46.240971 : Epoch  7, Batch    108, Loss  0.864233, Average Loss  0.869525, Time  0.238341
2021-09-16 14:47:47.887911 : Epoch  8, Batch   1520, Loss  0.878337, Average Loss  0.869290, Time  0.264715
2021-09-16 14:47:48.857736 : Epoch  7, Batch    109, Loss  0.870228, Average Loss  0.869544, Time  0.238536
2021-09-16 14:47:50.929756 : Epoch  8, Batch   1521, Loss  0.854154, Average Loss  0.869283, Time  0.264729
2021-09-16 14:47:51.437879 : Epoch  7, Batch    110, Loss  0.870496, Average Loss  0.869586, Time  0.238304
2021-09-16 14:47:53.985906 : Epoch  8, Batch   1522, Loss  0.883193, Average Loss  0.869336, Time  0.265015
2021-09-16 14:47:54.006252 : Epoch  7, Batch    111, Loss  0.870610, Average Loss  0.869605, Time  0.238716
2021-09-16 14:47:56.593821 : Epoch  7, Batch    112, Loss  0.856708, Average Loss  0.869447, Time  0.239162
2021-09-16 14:47:57.045438 : Epoch  8, Batch   1523, Loss  0.869761, Average Loss  0.869292, Time  0.264333
2021-09-16 14:47:59.176200 : Epoch  7, Batch    113, Loss  0.875075, Average Loss  0.869538, Time  0.239686
2021-09-16 14:48:00.112797 : Epoch  8, Batch   1524, Loss  0.877012, Average Loss  0.869225, Time  0.264324
2021-09-16 14:48:01.762123 : Epoch  7, Batch    114, Loss  0.858387, Average Loss  0.869556, Time  0.238458
2021-09-16 14:48:03.156459 : Epoch  8, Batch   1525, Loss  0.881176, Average Loss  0.869323, Time  0.264691
2021-09-16 14:48:04.331723 : Epoch  7, Batch    115, Loss  0.853530, Average Loss  0.869446, Time  0.238416
2021-09-16 14:48:06.226972 : Epoch  8, Batch   1526, Loss  0.890070, Average Loss  0.869399, Time  0.267097
2021-09-16 14:48:06.917714 : Epoch  7, Batch    116, Loss  0.855311, Average Loss  0.869410, Time  0.238901
2021-09-16 14:48:09.288623 : Epoch  8, Batch   1527, Loss  0.858931, Average Loss  0.869468, Time  0.264959
2021-09-16 14:48:09.509809 : Epoch  7, Batch    117, Loss  0.884042, Average Loss  0.869569, Time  0.238330
2021-09-16 14:48:12.080003 : Epoch  7, Batch    118, Loss  0.862530, Average Loss  0.869582, Time  0.238242
2021-09-16 14:48:12.365789 : Epoch  8, Batch   1528, Loss  0.874608, Average Loss  0.869506, Time  0.264489
2021-09-16 14:48:14.664700 : Epoch  7, Batch    119, Loss  0.860261, Average Loss  0.869559, Time  0.238130
2021-09-16 14:48:15.403913 : Epoch  8, Batch   1529, Loss  0.866569, Average Loss  0.869462, Time  0.264598
2021-09-16 14:48:17.238758 : Epoch  7, Batch    120, Loss  0.872019, Average Loss  0.869606, Time  0.238453
2021-09-16 14:48:18.459018 : Epoch  8, Batch   1530, Loss  0.875701, Average Loss  0.869583, Time  0.274459
2021-09-16 14:48:19.812753 : Epoch  7, Batch    121, Loss  0.875689, Average Loss  0.869599, Time  0.238165
2021-09-16 14:48:21.517056 : Epoch  8, Batch   1531, Loss  0.867837, Average Loss  0.869506, Time  0.265436
2021-09-16 14:48:22.385695 : Epoch  7, Batch    122, Loss  0.882477, Average Loss  0.869648, Time  0.238267
2021-09-16 14:48:24.584293 : Epoch  8, Batch   1532, Loss  0.866744, Average Loss  0.869555, Time  0.264875
2021-09-16 14:48:24.962744 : Epoch  7, Batch    123, Loss  0.856865, Average Loss  0.869547, Time  0.241374
2021-09-16 14:48:27.531975 : Epoch  7, Batch    124, Loss  0.886324, Average Loss  0.869576, Time  0.238482
2021-09-16 14:48:27.645831 : Epoch  8, Batch   1533, Loss  0.890398, Average Loss  0.869616, Time  0.265325
2021-09-16 14:48:30.124150 : Epoch  7, Batch    125, Loss  0.868090, Average Loss  0.869597, Time  0.238939
2021-09-16 14:48:30.670918 : Epoch  8, Batch   1534, Loss  0.858598, Average Loss  0.869525, Time  0.264480
2021-09-16 14:48:32.696783 : Epoch  7, Batch    126, Loss  0.860952, Average Loss  0.869505, Time  0.238633
2021-09-16 14:48:33.742162 : Epoch  8, Batch   1535, Loss  0.863177, Average Loss  0.869578, Time  0.264642
2021-09-16 14:48:35.277892 : Epoch  7, Batch    127, Loss  0.871784, Average Loss  0.869415, Time  0.238182
2021-09-16 14:48:36.786949 : Epoch  8, Batch   1536, Loss  0.883918, Average Loss  0.869588, Time  0.265046
2021-09-16 14:48:37.879694 : Epoch  7, Batch    128, Loss  0.862179, Average Loss  0.869345, Time  0.238410
2021-09-16 14:48:39.862802 : Epoch  8, Batch   1537, Loss  0.846883, Average Loss  0.869450, Time  0.265317
2021-09-16 14:48:40.481918 : Epoch  7, Batch    129, Loss  0.875504, Average Loss  0.869410, Time  0.238409
2021-09-16 14:48:42.909555 : Epoch  8, Batch   1538, Loss  0.848612, Average Loss  0.869279, Time  0.264550
2021-09-16 14:48:43.066999 : Epoch  7, Batch    130, Loss  0.881823, Average Loss  0.869504, Time  0.239208
2021-09-16 14:48:45.654948 : Epoch  7, Batch    131, Loss  0.864014, Average Loss  0.869421, Time  0.238468
2021-09-16 14:48:45.964956 : Epoch  8, Batch   1539, Loss  0.868271, Average Loss  0.869230, Time  0.264387
2021-09-16 14:48:48.278752 : Epoch  7, Batch    132, Loss  0.873298, Average Loss  0.869415, Time  0.239482
2021-09-16 14:48:49.013759 : Epoch  8, Batch   1540, Loss  0.847142, Average Loss  0.869125, Time  0.264540
2021-09-16 14:48:50.871883 : Epoch  7, Batch    133, Loss  0.863540, Average Loss  0.869362, Time  0.238651
2021-09-16 14:48:52.075188 : Epoch  8, Batch   1541, Loss  0.847769, Average Loss  0.869056, Time  0.264760
2021-09-16 14:48:53.449680 : Epoch  7, Batch    134, Loss  0.884304, Average Loss  0.869588, Time  0.238519
2021-09-16 14:48:55.131229 : Epoch  8, Batch   1542, Loss  0.852858, Average Loss  0.868967, Time  0.264482
2021-09-16 14:48:56.031710 : Epoch  7, Batch    135, Loss  0.858319, Average Loss  0.869536, Time  0.238644
2021-09-16 14:48:58.182650 : Epoch  8, Batch   1543, Loss  0.879530, Average Loss  0.868966, Time  0.264631
2021-09-16 14:48:58.608763 : Epoch  7, Batch    136, Loss  0.880126, Average Loss  0.869700, Time  0.238269
2021-09-16 14:49:01.185907 : Epoch  7, Batch    137, Loss  0.825395, Average Loss  0.869456, Time  0.238369
2021-09-16 14:49:01.231966 : Epoch  8, Batch   1544, Loss  0.865281, Average Loss  0.869019, Time  0.264988
2021-09-16 14:49:03.767868 : Epoch  7, Batch    138, Loss  0.866652, Average Loss  0.869495, Time  0.238668
2021-09-16 14:49:04.318007 : Epoch  8, Batch   1545, Loss  0.878822, Average Loss  0.869037, Time  0.278819
2021-09-16 14:49:06.354045 : Epoch  7, Batch    139, Loss  0.861976, Average Loss  0.869550, Time  0.238429
2021-09-16 14:49:07.384249 : Epoch  8, Batch   1546, Loss  0.851292, Average Loss  0.868879, Time  0.265573
2021-09-16 14:49:08.936269 : Epoch  7, Batch    140, Loss  0.881288, Average Loss  0.869614, Time  0.238406
2021-09-16 14:49:10.436814 : Epoch  8, Batch   1547, Loss  0.865924, Average Loss  0.868760, Time  0.265358
2021-09-16 14:49:11.520968 : Epoch  7, Batch    141, Loss  0.885917, Average Loss  0.869623, Time  0.238391
2021-09-16 14:49:13.551928 : Epoch  8, Batch   1548, Loss  0.872232, Average Loss  0.868749, Time  0.265085
2021-09-16 14:49:14.094945 : Epoch  7, Batch    142, Loss  0.895496, Average Loss  0.869859, Time  0.238298
2021-09-16 14:49:16.634279 : Epoch  8, Batch   1549, Loss  0.874384, Average Loss  0.868776, Time  0.265019
2021-09-16 14:49:16.666610 : Epoch  7, Batch    143, Loss  0.884686, Average Loss  0.869886, Time  0.238876
2021-09-16 14:49:19.272955 : Epoch  7, Batch    144, Loss  0.861012, Average Loss  0.869788, Time  0.238577
2021-09-16 14:49:19.698306 : Epoch  8, Batch   1550, Loss  0.857605, Average Loss  0.868712, Time  0.265446
2021-09-16 14:49:21.878889 : Epoch  7, Batch    145, Loss  0.867100, Average Loss  0.869727, Time  0.238863
2021-09-16 14:49:22.747483 : Epoch  8, Batch   1551, Loss  0.849945, Average Loss  0.868691, Time  0.264873
2021-09-16 14:49:24.462418 : Epoch  7, Batch    146, Loss  0.877758, Average Loss  0.869755, Time  0.238369
2021-09-16 14:49:25.807228 : Epoch  8, Batch   1552, Loss  0.869243, Average Loss  0.868780, Time  0.264738
2021-09-16 14:49:27.083860 : Epoch  7, Batch    147, Loss  0.867812, Average Loss  0.869731, Time  0.238339
2021-09-16 14:49:28.882979 : Epoch  8, Batch   1553, Loss  0.861889, Average Loss  0.868653, Time  0.265166
2021-09-16 14:49:29.693808 : Epoch  7, Batch    148, Loss  0.882113, Average Loss  0.869700, Time  0.238706
2021-09-16 14:49:31.950449 : Epoch  8, Batch   1554, Loss  0.838204, Average Loss  0.868552, Time  0.264163
2021-09-16 14:49:32.296680 : Epoch  7, Batch    149, Loss  0.874168, Average Loss  0.869705, Time  0.238232
2021-09-16 14:49:34.882682 : Epoch  7, Batch    150, Loss  0.858001, Average Loss  0.869700, Time  0.239207
2021-09-16 14:49:35.016928 : Epoch  8, Batch   1555, Loss  0.861213, Average Loss  0.868369, Time  0.264679
2021-09-16 14:49:37.494840 : Epoch  7, Batch    151, Loss  0.865297, Average Loss  0.869683, Time  0.238132
2021-09-16 14:49:38.060248 : Epoch  8, Batch   1556, Loss  0.856697, Average Loss  0.868229, Time  0.265212
2021-09-16 14:49:40.097011 : Epoch  7, Batch    152, Loss  0.866319, Average Loss  0.869601, Time  0.239612
2021-09-16 14:49:41.112886 : Epoch  8, Batch   1557, Loss  0.874628, Average Loss  0.868302, Time  0.264577
2021-09-16 14:49:42.674968 : Epoch  7, Batch    153, Loss  0.878771, Average Loss  0.869656, Time  0.238420
2021-09-16 14:49:44.165145 : Epoch  8, Batch   1558, Loss  0.879946, Average Loss  0.868321, Time  0.266670
2021-09-16 14:49:45.285825 : Epoch  7, Batch    154, Loss  0.873613, Average Loss  0.869547, Time  0.239060
2021-09-16 14:49:47.227173 : Epoch  8, Batch   1559, Loss  0.864044, Average Loss  0.868301, Time  0.264186
2021-09-16 14:49:47.868993 : Epoch  7, Batch    155, Loss  0.861469, Average Loss  0.869407, Time  0.238663
2021-09-16 14:49:50.296437 : Epoch  8, Batch   1560, Loss  0.896315, Average Loss  0.868368, Time  0.277298
2021-09-16 14:49:50.480971 : Epoch  7, Batch    156, Loss  0.866267, Average Loss  0.869470, Time  0.238489
2021-09-16 14:49:53.069886 : Epoch  7, Batch    157, Loss  0.829764, Average Loss  0.869210, Time  0.238342
2021-09-16 14:49:53.345896 : Epoch  8, Batch   1561, Loss  0.865913, Average Loss  0.868280, Time  0.266948
2021-09-16 14:49:55.668977 : Epoch  7, Batch    158, Loss  0.866795, Average Loss  0.869180, Time  0.238572
2021-09-16 14:49:56.380881 : Epoch  8, Batch   1562, Loss  0.871169, Average Loss  0.868408, Time  0.264277
2021-09-16 14:49:58.258909 : Epoch  7, Batch    159, Loss  0.859836, Average Loss  0.869171, Time  0.239107
2021-09-16 14:49:59.452913 : Epoch  8, Batch   1563, Loss  0.864553, Average Loss  0.868434, Time  0.264099
2021-09-16 14:50:00.864710 : Epoch  7, Batch    160, Loss  0.864147, Average Loss  0.869259, Time  0.238304
2021-09-16 14:50:02.505857 : Epoch  8, Batch   1564, Loss  0.869924, Average Loss  0.868545, Time  0.264511
2021-09-16 14:50:03.460788 : Epoch  7, Batch    161, Loss  0.882635, Average Loss  0.869455, Time  0.239009
2021-09-16 14:50:05.557109 : Epoch  8, Batch   1565, Loss  0.860671, Average Loss  0.868473, Time  0.264221
2021-09-16 14:50:06.052819 : Epoch  7, Batch    162, Loss  0.875897, Average Loss  0.869395, Time  0.238337
2021-09-16 14:50:08.602814 : Epoch  8, Batch   1566, Loss  0.884749, Average Loss  0.868484, Time  0.264001
2021-09-16 14:50:08.630969 : Epoch  7, Batch    163, Loss  0.869113, Average Loss  0.869355, Time  0.238370
2021-09-16 14:50:11.209150 : Epoch  7, Batch    164, Loss  0.862637, Average Loss  0.869371, Time  0.238682
2021-09-16 14:50:11.677188 : Epoch  8, Batch   1567, Loss  0.885492, Average Loss  0.868556, Time  0.263935
2021-09-16 14:50:14.722541 : Epoch  8, Batch   1568, Loss  0.881502, Average Loss  0.868577, Time  0.264799
2021-09-16 14:50:17.794905 : Epoch  8, Batch   1569, Loss  0.860555, Average Loss  0.868422, Time  0.268719
2021-09-16 14:50:20.845105 : Epoch  8, Batch   1570, Loss  0.847837, Average Loss  0.868305, Time  0.265289
2021-09-16 14:50:23.890187 : Epoch  8, Batch   1571, Loss  0.890357, Average Loss  0.868482, Time  0.264321
2021-09-16 14:50:26.945533 : Epoch  8, Batch   1572, Loss  0.859270, Average Loss  0.868483, Time  0.265099
2021-09-16 14:50:29.995948 : Epoch  8, Batch   1573, Loss  0.864985, Average Loss  0.868510, Time  0.265504
2021-09-16 14:50:33.038216 : Epoch  8, Batch   1574, Loss  0.863553, Average Loss  0.868500, Time  0.264443
2021-09-16 14:50:36.092937 : Epoch  8, Batch   1575, Loss  0.871614, Average Loss  0.868571, Time  0.277178
2021-09-16 14:50:39.133092 : Epoch  8, Batch   1576, Loss  0.865811, Average Loss  0.868525, Time  0.265558
2021-09-16 14:50:42.195271 : Epoch  8, Batch   1577, Loss  0.840243, Average Loss  0.868444, Time  0.264567
2021-09-16 14:50:45.241530 : Epoch  8, Batch   1578, Loss  0.879532, Average Loss  0.868545, Time  0.264256
2021-09-16 14:50:48.279820 : Epoch  8, Batch   1579, Loss  0.874326, Average Loss  0.868509, Time  0.264060
2021-09-16 14:50:51.339622 : Epoch  8, Batch   1580, Loss  0.848336, Average Loss  0.868326, Time  0.264512
2021-09-16 14:50:54.391865 : Epoch  8, Batch   1581, Loss  0.868906, Average Loss  0.868376, Time  0.263950
2021-09-16 14:50:57.454286 : Epoch  8, Batch   1582, Loss  0.873656, Average Loss  0.868373, Time  0.264457
2021-09-16 14:51:00.500129 : Epoch  8, Batch   1583, Loss  0.892576, Average Loss  0.868522, Time  0.264126
2021-09-16 14:51:03.546949 : Epoch  8, Batch   1584, Loss  0.875270, Average Loss  0.868579, Time  0.264529
2021-09-16 14:51:06.606607 : Epoch  8, Batch   1585, Loss  0.884524, Average Loss  0.868631, Time  0.264375
2021-09-16 14:51:09.653107 : Epoch  8, Batch   1586, Loss  0.878622, Average Loss  0.868723, Time  0.264257
2021-09-16 14:51:12.728218 : Epoch  8, Batch   1587, Loss  0.855604, Average Loss  0.868640, Time  0.264385
2021-09-16 14:51:15.800223 : Epoch  8, Batch   1588, Loss  0.865466, Average Loss  0.868663, Time  0.265180
2021-09-16 14:51:18.845143 : Epoch  8, Batch   1589, Loss  0.861612, Average Loss  0.868579, Time  0.264374
2021-09-16 14:51:21.905577 : Epoch  8, Batch   1590, Loss  0.853655, Average Loss  0.868440, Time  0.276228
2021-09-16 14:51:24.954822 : Epoch  8, Batch   1591, Loss  0.871601, Average Loss  0.868354, Time  0.264400
2021-09-16 14:51:28.003627 : Epoch  8, Batch   1592, Loss  0.856403, Average Loss  0.868411, Time  0.265549
2021-09-16 14:51:31.082531 : Epoch  8, Batch   1593, Loss  0.873379, Average Loss  0.868494, Time  0.264309
2021-09-16 14:51:34.132547 : Epoch  8, Batch   1594, Loss  0.854312, Average Loss  0.868462, Time  0.264669
2021-09-16 14:51:37.194235 : Epoch  8, Batch   1595, Loss  0.851448, Average Loss  0.868176, Time  0.264844
2021-09-16 14:51:40.258428 : Epoch  8, Batch   1596, Loss  0.865598, Average Loss  0.868180, Time  0.264433
2021-09-16 14:51:43.312189 : Epoch  8, Batch   1597, Loss  0.863567, Average Loss  0.868096, Time  0.264386
2021-09-16 14:51:46.368444 : Epoch  8, Batch   1598, Loss  0.870403, Average Loss  0.868035, Time  0.264821
2021-09-16 14:51:49.422922 : Epoch  8, Batch   1599, Loss  0.840680, Average Loss  0.867927, Time  0.264337
2021-09-16 14:51:52.478146 : Epoch  8, Batch   1600, Loss  0.874618, Average Loss  0.867921, Time  0.264041
2021-09-16 14:51:55.563355 : Epoch  8, Batch   1601, Loss  0.878266, Average Loss  0.867964, Time  0.264451
2021-09-16 14:51:58.605121 : Epoch  8, Batch   1602, Loss  0.873682, Average Loss  0.867982, Time  0.264395
2021-09-16 14:52:01.643979 : Epoch  8, Batch   1603, Loss  0.880781, Average Loss  0.868142, Time  0.264367
2021-09-16 14:52:04.683290 : Epoch  8, Batch   1604, Loss  0.867873, Average Loss  0.868100, Time  0.264460
2021-09-16 14:52:07.735530 : Epoch  8, Batch   1605, Loss  0.861496, Average Loss  0.868100, Time  0.275149
2021-09-16 14:52:10.810934 : Epoch  8, Batch   1606, Loss  0.850591, Average Loss  0.867925, Time  0.264379
2021-09-16 14:52:13.853589 : Epoch  8, Batch   1607, Loss  0.875666, Average Loss  0.867973, Time  0.264430
2021-09-16 14:52:16.902179 : Epoch  8, Batch   1608, Loss  0.853299, Average Loss  0.867825, Time  0.264385
2021-09-16 14:54:12.226690 : CheckPoint: Validation Loss  0.00030600, Best Loss  0.00029207
2021-09-16 14:54:14.807747 : Epoch  7, Batch    165, Loss  0.854221, Average Loss  0.869281, Time  0.239161
2021-09-16 14:54:17.390857 : Epoch  7, Batch    166, Loss  0.887760, Average Loss  0.869330, Time  0.239237
2021-09-16 14:54:19.962783 : Epoch  7, Batch    167, Loss  0.881173, Average Loss  0.869334, Time  0.237934
2021-09-16 14:54:22.541178 : Epoch  7, Batch    168, Loss  0.860194, Average Loss  0.869343, Time  0.238724
2021-09-16 14:54:25.156718 : Epoch  7, Batch    169, Loss  0.872566, Average Loss  0.869370, Time  0.238699
2021-09-16 14:54:27.762982 : Epoch  7, Batch    170, Loss  0.865981, Average Loss  0.869413, Time  0.238255
2021-09-16 14:54:30.345835 : Epoch  7, Batch    171, Loss  0.864781, Average Loss  0.869456, Time  0.238805
2021-09-16 14:54:32.955770 : Epoch  7, Batch    172, Loss  0.863613, Average Loss  0.869322, Time  0.238406
2021-09-16 14:54:35.542801 : Epoch  7, Batch    173, Loss  0.880803, Average Loss  0.869433, Time  0.238203
2021-09-16 14:54:38.183007 : Epoch  7, Batch    174, Loss  0.885846, Average Loss  0.869438, Time  0.238506
2021-09-16 14:54:40.772937 : Epoch  7, Batch    175, Loss  0.853086, Average Loss  0.869289, Time  0.238481
2021-09-16 14:54:43.385789 : Epoch  7, Batch    176, Loss  0.868115, Average Loss  0.869191, Time  0.238564
2021-09-16 14:54:45.996763 : Epoch  7, Batch    177, Loss  0.884344, Average Loss  0.869227, Time  0.238111
2021-09-16 14:54:48.574745 : Epoch  7, Batch    178, Loss  0.869483, Average Loss  0.869192, Time  0.238907
2021-09-16 14:54:51.163088 : Epoch  7, Batch    179, Loss  0.862959, Average Loss  0.869126, Time  0.238121
2021-09-16 14:54:53.766804 : Epoch  7, Batch    180, Loss  0.850793, Average Loss  0.868976, Time  0.239058
2021-09-16 14:54:56.335855 : Epoch  7, Batch    181, Loss  0.868574, Average Loss  0.868939, Time  0.238509
2021-09-16 14:54:58.941380 : Epoch  7, Batch    182, Loss  0.865177, Average Loss  0.868931, Time  0.238272
2021-09-16 14:55:01.528973 : Epoch  7, Batch    183, Loss  0.865355, Average Loss  0.868825, Time  0.240649
2021-09-16 14:55:04.119061 : Epoch  7, Batch    184, Loss  0.889469, Average Loss  0.868911, Time  0.239023
2021-09-16 14:55:06.722772 : Epoch  7, Batch    185, Loss  0.879830, Average Loss  0.868976, Time  0.238581
2021-09-16 14:55:09.303175 : Epoch  7, Batch    186, Loss  0.863380, Average Loss  0.868862, Time  0.238318
2021-09-16 14:55:11.890917 : Epoch  7, Batch    187, Loss  0.890710, Average Loss  0.868946, Time  0.238775
2021-09-16 14:55:14.467735 : Epoch  7, Batch    188, Loss  0.860636, Average Loss  0.868876, Time  0.238281
2021-09-16 14:55:17.067514 : Epoch  7, Batch    189, Loss  0.860984, Average Loss  0.868784, Time  0.238870
2021-09-16 14:55:19.663936 : Epoch  7, Batch    190, Loss  0.890783, Average Loss  0.868996, Time  0.239720
2021-09-16 14:55:22.246170 : Epoch  7, Batch    191, Loss  0.856209, Average Loss  0.868841, Time  0.238483
2021-09-16 14:55:24.861063 : Epoch  7, Batch    192, Loss  0.868447, Average Loss  0.868818, Time  0.239301
2021-09-16 14:55:27.438046 : Epoch  7, Batch    193, Loss  0.886810, Average Loss  0.869025, Time  0.238503
2021-09-16 14:55:30.041080 : Epoch  7, Batch    194, Loss  0.869157, Average Loss  0.868949, Time  0.238466
2021-09-16 14:55:32.644806 : Epoch  7, Batch    195, Loss  0.868580, Average Loss  0.868888, Time  0.240405
2021-09-16 14:55:35.259976 : Epoch  7, Batch    196, Loss  0.876207, Average Loss  0.868952, Time  0.238796
2021-09-16 14:55:37.868089 : Epoch  7, Batch    197, Loss  0.861308, Average Loss  0.868876, Time  0.238393
2021-09-16 14:55:40.459174 : Epoch  7, Batch    198, Loss  0.879423, Average Loss  0.868970, Time  0.238705
2021-09-16 14:55:43.058197 : Epoch  7, Batch    199, Loss  0.865504, Average Loss  0.868874, Time  0.238345
2021-09-16 14:55:45.660642 : Epoch  7, Batch    200, Loss  0.883058, Average Loss  0.868988, Time  0.238632
2021-09-16 14:55:48.261824 : Epoch  7, Batch    201, Loss  0.870840, Average Loss  0.869045, Time  0.238326
2021-09-16 14:55:50.858881 : Epoch  7, Batch    202, Loss  0.879581, Average Loss  0.869042, Time  0.238785
2021-09-16 14:55:53.432744 : Epoch  7, Batch    203, Loss  0.859962, Average Loss  0.869026, Time  0.238571
2021-09-16 14:55:56.017894 : Epoch  7, Batch    204, Loss  0.866496, Average Loss  0.869035, Time  0.238393
2021-09-16 14:55:58.603825 : Epoch  7, Batch    205, Loss  0.881928, Average Loss  0.869160, Time  0.238560
2021-09-16 14:56:01.209946 : Epoch  7, Batch    206, Loss  0.860372, Average Loss  0.869085, Time  0.238552
2021-09-16 14:56:03.803905 : Epoch  7, Batch    207, Loss  0.882837, Average Loss  0.869072, Time  0.238513
2021-09-16 14:56:06.431959 : Epoch  7, Batch    208, Loss  0.895545, Average Loss  0.869171, Time  0.257689
2021-09-16 14:56:09.030854 : Epoch  7, Batch    209, Loss  0.871784, Average Loss  0.869137, Time  0.239254
2021-09-16 14:56:11.635265 : Epoch  7, Batch    210, Loss  0.881709, Average Loss  0.869296, Time  0.238573
2021-09-16 14:56:14.218085 : Epoch  7, Batch    211, Loss  0.876443, Average Loss  0.869266, Time  0.238347
2021-09-16 14:56:16.842628 : Epoch  7, Batch    212, Loss  0.875642, Average Loss  0.869315, Time  0.238441
2021-09-16 14:56:19.425864 : Epoch  7, Batch    213, Loss  0.857127, Average Loss  0.869284, Time  0.239221
2021-09-16 14:56:22.005824 : Epoch  7, Batch    214, Loss  0.863289, Average Loss  0.869247, Time  0.238477
2021-09-16 14:56:24.626931 : Epoch  7, Batch    215, Loss  0.860448, Average Loss  0.869289, Time  0.258637
2021-09-16 14:56:27.217123 : Epoch  7, Batch    216, Loss  0.864049, Average Loss  0.869194, Time  0.239189
2021-09-16 14:56:29.799725 : Epoch  7, Batch    217, Loss  0.877566, Average Loss  0.869264, Time  0.238657
2021-09-16 14:56:32.376844 : Epoch  7, Batch    218, Loss  0.889455, Average Loss  0.869400, Time  0.238521
2021-09-16 14:56:34.983168 : Epoch  7, Batch    219, Loss  0.873903, Average Loss  0.869404, Time  0.238809
2021-09-16 14:56:37.587982 : Epoch  7, Batch    220, Loss  0.867514, Average Loss  0.869407, Time  0.238563
2021-09-16 14:56:40.177747 : Epoch  7, Batch    221, Loss  0.882976, Average Loss  0.869518, Time  0.238504
2021-09-16 14:56:42.761980 : Epoch  7, Batch    222, Loss  0.881899, Average Loss  0.869573, Time  0.238554
2021-09-16 14:56:45.343027 : Epoch  7, Batch    223, Loss  0.842009, Average Loss  0.869408, Time  0.238402
2021-09-16 14:56:47.948507 : Epoch  7, Batch    224, Loss  0.852815, Average Loss  0.869244, Time  0.238754
2021-09-16 14:56:50.551077 : Epoch  7, Batch    225, Loss  0.853502, Average Loss  0.869167, Time  0.238449
2021-09-16 14:56:53.157982 : Epoch  7, Batch    226, Loss  0.877833, Average Loss  0.869211, Time  0.238398
2021-09-16 14:56:55.785088 : Epoch  7, Batch    227, Loss  0.865266, Average Loss  0.869166, Time  0.238471
2021-09-16 14:56:58.306772 : CheckPoint: Validation Loss  0.00029796, Best Loss  0.00029295
2021-09-16 14:56:58.385852 : Epoch  7, Batch    228, Loss  0.875112, Average Loss  0.869319, Time  0.238442
2021-09-16 14:57:00.963699 : Epoch  7, Batch    229, Loss  0.874542, Average Loss  0.869352, Time  0.239705
2021-09-16 14:57:01.347135 : Epoch  8, Batch   1609, Loss  0.872751, Average Loss  0.867866, Time  0.264814
2021-09-16 14:57:03.546551 : Epoch  7, Batch    230, Loss  0.883034, Average Loss  0.869367, Time  0.238190
2021-09-16 14:57:04.366999 : Epoch  8, Batch   1610, Loss  0.850850, Average Loss  0.867737, Time  0.264383
2021-09-16 14:57:06.127033 : Epoch  7, Batch    231, Loss  0.874742, Average Loss  0.869396, Time  0.238469
2021-09-16 14:57:07.423222 : Epoch  8, Batch   1611, Loss  0.860089, Average Loss  0.867723, Time  0.264243
2021-09-16 14:57:08.730840 : Epoch  7, Batch    232, Loss  0.878408, Average Loss  0.869441, Time  0.238440
2021-09-16 14:57:10.473546 : Epoch  8, Batch   1612, Loss  0.864123, Average Loss  0.867667, Time  0.264218
2021-09-16 14:57:11.336712 : Epoch  7, Batch    233, Loss  0.870251, Average Loss  0.869404, Time  0.238332
2021-09-16 14:57:13.525545 : Epoch  8, Batch   1613, Loss  0.893569, Average Loss  0.867848, Time  0.264467
2021-09-16 14:57:13.924716 : Epoch  7, Batch    234, Loss  0.872911, Average Loss  0.869338, Time  0.241043
2021-09-16 14:57:16.505113 : Epoch  7, Batch    235, Loss  0.856235, Average Loss  0.869340, Time  0.238404
2021-09-16 14:57:16.585811 : Epoch  8, Batch   1614, Loss  0.870050, Average Loss  0.867856, Time  0.264329
2021-09-16 14:57:19.118924 : Epoch  7, Batch    236, Loss  0.845411, Average Loss  0.869221, Time  0.238659
2021-09-16 14:57:19.631613 : Epoch  8, Batch   1615, Loss  0.874294, Average Loss  0.867763, Time  0.263901
2021-09-16 14:57:21.697894 : Epoch  7, Batch    237, Loss  0.863373, Average Loss  0.869229, Time  0.239496
2021-09-16 14:57:22.674915 : Epoch  8, Batch   1616, Loss  0.868858, Average Loss  0.867770, Time  0.264654
2021-09-16 14:57:24.291101 : Epoch  7, Batch    238, Loss  0.871539, Average Loss  0.869378, Time  0.238209
2021-09-16 14:57:25.734117 : Epoch  8, Batch   1617, Loss  0.861547, Average Loss  0.867651, Time  0.264476
2021-09-16 14:57:26.873893 : Epoch  7, Batch    239, Loss  0.876163, Average Loss  0.869347, Time  0.239339
2021-09-16 14:57:28.811881 : Epoch  8, Batch   1618, Loss  0.849484, Average Loss  0.867583, Time  0.272317
2021-09-16 14:57:29.482794 : Epoch  7, Batch    240, Loss  0.859594, Average Loss  0.869218, Time  0.238446
2021-09-16 14:57:31.871838 : Epoch  8, Batch   1619, Loss  0.880379, Average Loss  0.867598, Time  0.264827
2021-09-16 14:57:32.088966 : Epoch  7, Batch    241, Loss  0.869380, Average Loss  0.869271, Time  0.238328
2021-09-16 14:57:34.661138 : Epoch  7, Batch    242, Loss  0.882533, Average Loss  0.869350, Time  0.238536
2021-09-16 14:57:34.925300 : Epoch  8, Batch   1620, Loss  0.885386, Average Loss  0.867740, Time  0.265197
2021-09-16 14:57:37.278136 : Epoch  7, Batch    243, Loss  0.834743, Average Loss  0.869192, Time  0.238426
2021-09-16 14:57:37.967937 : Epoch  8, Batch   1621, Loss  0.867722, Average Loss  0.867749, Time  0.265325
2021-09-16 14:57:39.863980 : Epoch  7, Batch    244, Loss  0.859716, Average Loss  0.869170, Time  0.238391
2021-09-16 14:57:41.017731 : Epoch  8, Batch   1622, Loss  0.852220, Average Loss  0.867595, Time  0.264973
2021-09-16 14:57:42.449715 : Epoch  7, Batch    245, Loss  0.898419, Average Loss  0.869233, Time  0.239109
2021-09-16 14:57:44.068885 : Epoch  8, Batch   1623, Loss  0.863513, Average Loss  0.867572, Time  0.266034
2021-09-16 14:57:45.063970 : Epoch  7, Batch    246, Loss  0.859351, Average Loss  0.869238, Time  0.238072
2021-09-16 14:57:47.141210 : Epoch  8, Batch   1624, Loss  0.863855, Average Loss  0.867609, Time  0.264173
2021-09-16 14:57:47.672476 : Epoch  7, Batch    247, Loss  0.878220, Average Loss  0.869367, Time  0.238331
2021-09-16 14:57:50.205213 : Epoch  8, Batch   1625, Loss  0.858157, Average Loss  0.867540, Time  0.264341
2021-09-16 14:57:50.268842 : Epoch  7, Batch    248, Loss  0.851984, Average Loss  0.869383, Time  0.238124
2021-09-16 14:57:52.850887 : Epoch  7, Batch    249, Loss  0.865190, Average Loss  0.869364, Time  0.238547
2021-09-16 14:57:53.269332 : Epoch  8, Batch   1626, Loss  0.837908, Average Loss  0.867342, Time  0.264433
2021-09-16 14:57:55.436771 : Epoch  7, Batch    250, Loss  0.870235, Average Loss  0.869314, Time  0.238631
2021-09-16 14:57:56.328791 : Epoch  8, Batch   1627, Loss  0.871644, Average Loss  0.867390, Time  0.264396
2021-09-16 14:57:58.047961 : Epoch  7, Batch    251, Loss  0.869025, Average Loss  0.869394, Time  0.238152
2021-09-16 14:57:59.378806 : Epoch  8, Batch   1628, Loss  0.871423, Average Loss  0.867426, Time  0.264031
2021-09-16 14:58:00.679635 : Epoch  7, Batch    252, Loss  0.885855, Average Loss  0.869540, Time  0.239535
2021-09-16 14:58:02.455942 : Epoch  8, Batch   1629, Loss  0.874771, Average Loss  0.867443, Time  0.263991
2021-09-16 14:58:03.270148 : Epoch  7, Batch    253, Loss  0.884502, Average Loss  0.869558, Time  0.238488
2021-09-16 14:58:05.520361 : Epoch  8, Batch   1630, Loss  0.852219, Average Loss  0.867466, Time  0.265600
2021-09-16 14:58:05.861015 : Epoch  7, Batch    254, Loss  0.873478, Average Loss  0.869621, Time  0.238651
2021-09-16 14:58:08.458216 : Epoch  7, Batch    255, Loss  0.859721, Average Loss  0.869599, Time  0.238458
2021-09-16 14:58:08.571485 : Epoch  8, Batch   1631, Loss  0.886858, Average Loss  0.867625, Time  0.264619
2021-09-16 14:58:11.062846 : Epoch  7, Batch    256, Loss  0.895391, Average Loss  0.869704, Time  0.238461
2021-09-16 14:58:11.616227 : Epoch  8, Batch   1632, Loss  0.874898, Average Loss  0.867648, Time  0.264484
2021-09-16 14:58:13.706999 : Epoch  7, Batch    257, Loss  0.865404, Average Loss  0.869687, Time  0.238281
2021-09-16 14:58:14.688329 : Epoch  8, Batch   1633, Loss  0.860767, Average Loss  0.867618, Time  0.276681
2021-09-16 14:58:16.276970 : Epoch  7, Batch    258, Loss  0.859536, Average Loss  0.869627, Time  0.238303
2021-09-16 14:58:17.739219 : Epoch  8, Batch   1634, Loss  0.863678, Average Loss  0.867703, Time  0.264891
2021-09-16 14:58:18.871687 : Epoch  7, Batch    259, Loss  0.874399, Average Loss  0.869773, Time  0.238676
2021-09-16 14:58:20.793186 : Epoch  8, Batch   1635, Loss  0.873568, Average Loss  0.867732, Time  0.264336
2021-09-16 14:58:21.490717 : Epoch  7, Batch    260, Loss  0.854735, Average Loss  0.869632, Time  0.240236
2021-09-16 14:58:23.855254 : Epoch  8, Batch   1636, Loss  0.888144, Average Loss  0.867802, Time  0.264233
2021-09-16 14:58:24.068144 : Epoch  7, Batch    261, Loss  0.869574, Average Loss  0.869644, Time  0.238707
2021-09-16 14:58:26.658980 : Epoch  7, Batch    262, Loss  0.868601, Average Loss  0.869704, Time  0.239443
2021-09-16 14:58:26.913630 : Epoch  8, Batch   1637, Loss  0.865076, Average Loss  0.867851, Time  0.264575
2021-09-16 14:58:29.239170 : Epoch  7, Batch    263, Loss  0.868761, Average Loss  0.869746, Time  0.238695
2021-09-16 14:58:29.950941 : Epoch  8, Batch   1638, Loss  0.859049, Average Loss  0.867809, Time  0.264192
2021-09-16 14:58:31.870705 : Epoch  7, Batch    264, Loss  0.882020, Average Loss  0.869800, Time  0.238315
2021-09-16 14:58:33.020877 : Epoch  8, Batch   1639, Loss  0.866152, Average Loss  0.867766, Time  0.267042
2021-09-16 14:58:36.083062 : Epoch  8, Batch   1640, Loss  0.863688, Average Loss  0.867857, Time  0.264477
2021-09-16 14:58:39.154374 : Epoch  8, Batch   1641, Loss  0.858334, Average Loss  0.867867, Time  0.264349
2021-09-16 14:58:42.225936 : Epoch  8, Batch   1642, Loss  0.867808, Average Loss  0.867781, Time  0.264275
2021-09-16 14:58:45.300436 : Epoch  8, Batch   1643, Loss  0.888791, Average Loss  0.867897, Time  0.264392
2021-09-16 14:58:48.351932 : Epoch  8, Batch   1644, Loss  0.875783, Average Loss  0.867978, Time  0.264760
2021-09-16 14:58:51.406042 : Epoch  8, Batch   1645, Loss  0.859518, Average Loss  0.868009, Time  0.264460
2021-09-16 14:58:54.456837 : Epoch  8, Batch   1646, Loss  0.878412, Average Loss  0.868199, Time  0.264163
2021-09-16 14:58:57.517374 : Epoch  8, Batch   1647, Loss  0.869313, Average Loss  0.868237, Time  0.265354
2021-09-16 14:59:00.596399 : Epoch  8, Batch   1648, Loss  0.883460, Average Loss  0.868366, Time  0.278040
2021-09-16 14:59:03.653659 : Epoch  8, Batch   1649, Loss  0.851646, Average Loss  0.868177, Time  0.264857
2021-09-16 14:59:06.714316 : Epoch  8, Batch   1650, Loss  0.869286, Average Loss  0.868247, Time  0.264516
2021-09-16 14:59:09.763782 : Epoch  8, Batch   1651, Loss  0.879195, Average Loss  0.868291, Time  0.265207
2021-09-16 14:59:12.842089 : Epoch  8, Batch   1652, Loss  0.845607, Average Loss  0.868127, Time  0.264555
2021-09-16 14:59:15.902080 : Epoch  8, Batch   1653, Loss  0.852885, Average Loss  0.868058, Time  0.264317
2021-09-16 14:59:18.957206 : Epoch  8, Batch   1654, Loss  0.873137, Average Loss  0.868011, Time  0.264390
2021-09-16 14:59:22.020273 : Epoch  8, Batch   1655, Loss  0.862339, Average Loss  0.867914, Time  0.264541
2021-09-16 14:59:25.100202 : Epoch  8, Batch   1656, Loss  0.881120, Average Loss  0.867910, Time  0.264022
2021-09-16 14:59:28.180147 : Epoch  8, Batch   1657, Loss  0.858962, Average Loss  0.867783, Time  0.264542
2021-09-16 14:59:31.250888 : Epoch  8, Batch   1658, Loss  0.856500, Average Loss  0.867757, Time  0.264250
2021-09-16 14:59:34.315389 : Epoch  8, Batch   1659, Loss  0.890227, Average Loss  0.867931, Time  0.264827
2021-09-16 14:59:37.382936 : Epoch  8, Batch   1660, Loss  0.859585, Average Loss  0.867876, Time  0.263905
2021-09-16 14:59:40.432528 : Epoch  8, Batch   1661, Loss  0.823915, Average Loss  0.867624, Time  0.264539
2021-09-16 14:59:43.474949 : Epoch  8, Batch   1662, Loss  0.866483, Average Loss  0.867656, Time  0.267115
2021-09-16 14:59:46.532761 : Epoch  8, Batch   1663, Loss  0.875795, Average Loss  0.867690, Time  0.272552
2021-09-16 14:59:49.594216 : Epoch  8, Batch   1664, Loss  0.873043, Average Loss  0.867741, Time  0.264571
2021-09-16 14:59:52.664664 : Epoch  8, Batch   1665, Loss  0.869192, Average Loss  0.867709, Time  0.264849
2021-09-16 14:59:55.727839 : Epoch  8, Batch   1666, Loss  0.884291, Average Loss  0.867760, Time  0.263977
2021-09-16 14:59:58.802938 : Epoch  8, Batch   1667, Loss  0.863245, Average Loss  0.867731, Time  0.265026
2021-09-16 15:00:01.872127 : Epoch  8, Batch   1668, Loss  0.853868, Average Loss  0.867752, Time  0.264468
2021-09-16 15:00:04.925840 : Epoch  8, Batch   1669, Loss  0.869702, Average Loss  0.867887, Time  0.263968
2021-09-16 15:00:08.001794 : Epoch  8, Batch   1670, Loss  0.887139, Average Loss  0.867948, Time  0.266920
2021-09-16 15:00:11.053484 : Epoch  8, Batch   1671, Loss  0.858640, Average Loss  0.867945, Time  0.264348
2021-09-16 15:00:14.106288 : Epoch  8, Batch   1672, Loss  0.889853, Average Loss  0.868006, Time  0.264467
2021-09-16 15:00:17.174229 : Epoch  8, Batch   1673, Loss  0.851138, Average Loss  0.867912, Time  0.264311
2021-09-16 15:00:20.239228 : Epoch  8, Batch   1674, Loss  0.865557, Average Loss  0.868012, Time  0.264411
2021-09-16 15:00:23.290952 : Epoch  8, Batch   1675, Loss  0.851398, Average Loss  0.867933, Time  0.264301
2021-09-16 15:00:26.346252 : Epoch  8, Batch   1676, Loss  0.881512, Average Loss  0.867926, Time  0.265303
2021-09-16 15:00:29.407796 : Epoch  8, Batch   1677, Loss  0.851157, Average Loss  0.867897, Time  0.264827
2021-09-16 15:00:32.467207 : Epoch  8, Batch   1678, Loss  0.869861, Average Loss  0.867926, Time  0.272853
2021-09-16 15:00:35.528996 : Epoch  8, Batch   1679, Loss  0.889846, Average Loss  0.868022, Time  0.264567
2021-09-16 15:00:38.602839 : Epoch  8, Batch   1680, Loss  0.861844, Average Loss  0.867908, Time  0.264602
2021-09-16 15:00:41.651324 : Epoch  8, Batch   1681, Loss  0.847706, Average Loss  0.867802, Time  0.264317
2021-09-16 15:00:44.712869 : Epoch  8, Batch   1682, Loss  0.860289, Average Loss  0.867773, Time  0.264661
2021-09-16 15:00:47.768260 : Epoch  8, Batch   1683, Loss  0.875898, Average Loss  0.867771, Time  0.264516
2021-09-16 15:00:50.830029 : Epoch  8, Batch   1684, Loss  0.866088, Average Loss  0.867883, Time  0.264971
2021-09-16 15:00:53.883874 : Epoch  8, Batch   1685, Loss  0.874215, Average Loss  0.867784, Time  0.264262
2021-09-16 15:00:56.928186 : Epoch  8, Batch   1686, Loss  0.872372, Average Loss  0.867731, Time  0.264176
2021-09-16 15:01:00.021836 : Epoch  8, Batch   1687, Loss  0.874732, Average Loss  0.867784, Time  0.265408
2021-09-16 15:01:03.087679 : Epoch  8, Batch   1688, Loss  0.884834, Average Loss  0.867922, Time  0.264021
2021-09-16 15:01:06.172968 : Epoch  8, Batch   1689, Loss  0.889437, Average Loss  0.868006, Time  0.264249
2021-09-16 15:01:09.243769 : Epoch  8, Batch   1690, Loss  0.872108, Average Loss  0.867979, Time  0.265215
2021-09-16 15:01:12.315256 : Epoch  8, Batch   1691, Loss  0.860859, Average Loss  0.867971, Time  0.264253
2021-09-16 15:01:15.378079 : Epoch  8, Batch   1692, Loss  0.868260, Average Loss  0.867890, Time  0.264720
2021-09-16 15:01:18.444123 : Epoch  8, Batch   1693, Loss  0.853589, Average Loss  0.867832, Time  0.271618
2021-09-16 15:01:21.494262 : Epoch  8, Batch   1694, Loss  0.892825, Average Loss  0.867900, Time  0.265071
2021-09-16 15:01:24.549954 : Epoch  8, Batch   1695, Loss  0.883172, Average Loss  0.867934, Time  0.264634
2021-09-16 15:01:27.607362 : Epoch  8, Batch   1696, Loss  0.872825, Average Loss  0.868008, Time  0.264251
2021-09-16 15:01:30.646027 : Epoch  8, Batch   1697, Loss  0.869832, Average Loss  0.868022, Time  0.263870
2021-09-16 15:01:33.699538 : Epoch  8, Batch   1698, Loss  0.864754, Average Loss  0.867941, Time  0.264466
2021-09-16 15:01:36.756853 : Epoch  8, Batch   1699, Loss  0.866243, Average Loss  0.867980, Time  0.264117
2021-09-16 15:01:39.827245 : Epoch  8, Batch   1700, Loss  0.859169, Average Loss  0.867994, Time  0.264491
2021-09-16 15:01:42.890337 : Epoch  8, Batch   1701, Loss  0.861650, Average Loss  0.867960, Time  0.264768
2021-09-16 15:01:45.944231 : Epoch  8, Batch   1702, Loss  0.852906, Average Loss  0.867863, Time  0.264676
2021-09-16 15:01:49.020197 : Epoch  8, Batch   1703, Loss  0.864747, Average Loss  0.867842, Time  0.264265
2021-09-16 15:01:52.087503 : Epoch  8, Batch   1704, Loss  0.873771, Average Loss  0.867875, Time  0.264752
2021-09-16 15:01:55.135659 : Epoch  8, Batch   1705, Loss  0.849675, Average Loss  0.867762, Time  0.264095
2021-09-16 15:01:58.188184 : Epoch  8, Batch   1706, Loss  0.876272, Average Loss  0.867705, Time  0.265029
2021-09-16 15:02:01.238819 : Epoch  8, Batch   1707, Loss  0.863499, Average Loss  0.867688, Time  0.264357
2021-09-16 15:02:04.331400 : Epoch  8, Batch   1708, Loss  0.868373, Average Loss  0.867792, Time  0.275151
2021-09-16 15:02:32.866692 : CheckPoint: Validation Loss  0.00030083, Best Loss  0.00029207
2021-09-16 15:02:35.444035 : Epoch  7, Batch    265, Loss  0.870604, Average Loss  0.869815, Time  0.239908
2021-09-16 15:02:38.021802 : Epoch  7, Batch    266, Loss  0.878807, Average Loss  0.869792, Time  0.238391
2021-09-16 15:02:40.597830 : Epoch  7, Batch    267, Loss  0.845713, Average Loss  0.869609, Time  0.238465
2021-09-16 15:02:43.174826 : Epoch  7, Batch    268, Loss  0.879229, Average Loss  0.869605, Time  0.238393
2021-09-16 15:02:45.759843 : Epoch  7, Batch    269, Loss  0.879023, Average Loss  0.869614, Time  0.239351
2021-09-16 15:02:48.340198 : Epoch  7, Batch    270, Loss  0.863503, Average Loss  0.869636, Time  0.238492
2021-09-16 15:02:50.921941 : Epoch  7, Batch    271, Loss  0.863656, Average Loss  0.869472, Time  0.238337
2021-09-16 15:02:53.499101 : Epoch  7, Batch    272, Loss  0.845124, Average Loss  0.869413, Time  0.238290
2021-09-16 15:02:56.086863 : Epoch  7, Batch    273, Loss  0.859626, Average Loss  0.869411, Time  0.238313
2021-09-16 15:02:58.670090 : Epoch  7, Batch    274, Loss  0.863410, Average Loss  0.869363, Time  0.239403
2021-09-16 15:03:01.242742 : Epoch  7, Batch    275, Loss  0.873348, Average Loss  0.869401, Time  0.238618
2021-09-16 15:03:03.824117 : Epoch  7, Batch    276, Loss  0.885042, Average Loss  0.869455, Time  0.239236
2021-09-16 15:03:06.402056 : Epoch  7, Batch    277, Loss  0.876592, Average Loss  0.869447, Time  0.238579
2021-09-16 15:03:08.979760 : Epoch  7, Batch    278, Loss  0.871450, Average Loss  0.869439, Time  0.238694
2021-09-16 15:03:11.568773 : Epoch  7, Batch    279, Loss  0.873666, Average Loss  0.869461, Time  0.238416
2021-09-16 15:03:14.155993 : Epoch  7, Batch    280, Loss  0.870884, Average Loss  0.869441, Time  0.238744
2021-09-16 15:03:16.742853 : Epoch  7, Batch    281, Loss  0.858693, Average Loss  0.869397, Time  0.238437
2021-09-16 15:03:19.323669 : Epoch  7, Batch    282, Loss  0.873338, Average Loss  0.869421, Time  0.238360
2021-09-16 15:03:21.896852 : Epoch  7, Batch    283, Loss  0.851730, Average Loss  0.869360, Time  0.238615
2021-09-16 15:03:24.476096 : Epoch  7, Batch    284, Loss  0.866012, Average Loss  0.869292, Time  0.238286
2021-09-16 15:03:27.046855 : Epoch  7, Batch    285, Loss  0.853640, Average Loss  0.869270, Time  0.238536
2021-09-16 15:03:29.619095 : Epoch  7, Batch    286, Loss  0.888838, Average Loss  0.869432, Time  0.238165
2021-09-16 15:03:32.197703 : Epoch  7, Batch    287, Loss  0.863685, Average Loss  0.869432, Time  0.238022
2021-09-16 15:03:34.789792 : Epoch  7, Batch    288, Loss  0.865700, Average Loss  0.869417, Time  0.238668
2021-09-16 15:03:37.372931 : Epoch  7, Batch    289, Loss  0.886997, Average Loss  0.869450, Time  0.238028
2021-09-16 15:03:39.945199 : Epoch  7, Batch    290, Loss  0.872508, Average Loss  0.869456, Time  0.238534
2021-09-16 15:03:42.524079 : Epoch  7, Batch    291, Loss  0.884245, Average Loss  0.869542, Time  0.238432
2021-09-16 15:03:45.099578 : Epoch  7, Batch    292, Loss  0.873940, Average Loss  0.869628, Time  0.239291
2021-09-16 15:03:47.669971 : Epoch  7, Batch    293, Loss  0.872042, Average Loss  0.869666, Time  0.238312
2021-09-16 15:03:50.244989 : Epoch  7, Batch    294, Loss  0.847195, Average Loss  0.869596, Time  0.238444
2021-09-16 15:03:52.818091 : Epoch  7, Batch    295, Loss  0.867075, Average Loss  0.869586, Time  0.238228
2021-09-16 15:03:55.392873 : Epoch  7, Batch    296, Loss  0.860369, Average Loss  0.869524, Time  0.238459
2021-09-16 15:03:57.974707 : Epoch  7, Batch    297, Loss  0.871202, Average Loss  0.869569, Time  0.238532
2021-09-16 15:04:00.553007 : Epoch  7, Batch    298, Loss  0.871851, Average Loss  0.869620, Time  0.239282
2021-09-16 15:04:03.145763 : Epoch  7, Batch    299, Loss  0.860990, Average Loss  0.869578, Time  0.238430
2021-09-16 15:04:05.732842 : Epoch  7, Batch    300, Loss  0.861386, Average Loss  0.869389, Time  0.239295
2021-09-16 15:04:08.314223 : Epoch  7, Batch    301, Loss  0.872262, Average Loss  0.869365, Time  0.238693
2021-09-16 15:04:10.896030 : Epoch  7, Batch    302, Loss  0.853475, Average Loss  0.869186, Time  0.238722
2021-09-16 15:04:13.480876 : Epoch  7, Batch    303, Loss  0.870626, Average Loss  0.869213, Time  0.238782
2021-09-16 15:04:16.067022 : Epoch  7, Batch    304, Loss  0.873356, Average Loss  0.869339, Time  0.238823
2021-09-16 15:04:18.645112 : Epoch  7, Batch    305, Loss  0.853935, Average Loss  0.869268, Time  0.238031
2021-09-16 15:04:21.227026 : Epoch  7, Batch    306, Loss  0.869812, Average Loss  0.869257, Time  0.239080
2021-09-16 15:04:23.810044 : Epoch  7, Batch    307, Loss  0.853216, Average Loss  0.869293, Time  0.238307
2021-09-16 15:04:26.395961 : Epoch  7, Batch    308, Loss  0.848408, Average Loss  0.869214, Time  0.238335
2021-09-16 15:04:28.971934 : Epoch  7, Batch    309, Loss  0.870966, Average Loss  0.869218, Time  0.238615
2021-09-16 15:04:31.546004 : Epoch  7, Batch    310, Loss  0.861522, Average Loss  0.869173, Time  0.238097
2021-09-16 15:04:34.123825 : Epoch  7, Batch    311, Loss  0.867688, Average Loss  0.869158, Time  0.238325
2021-09-16 15:04:36.703720 : Epoch  7, Batch    312, Loss  0.886782, Average Loss  0.869309, Time  0.238589
2021-09-16 15:04:39.286851 : Epoch  7, Batch    313, Loss  0.901671, Average Loss  0.869442, Time  0.238309
2021-09-16 15:04:41.865732 : Epoch  7, Batch    314, Loss  0.866240, Average Loss  0.869481, Time  0.238350
2021-09-16 15:04:44.438857 : Epoch  7, Batch    315, Loss  0.862089, Average Loss  0.869524, Time  0.238435
2021-09-16 15:04:47.013832 : Epoch  7, Batch    316, Loss  0.853760, Average Loss  0.869516, Time  0.237929
2021-09-16 15:04:49.592860 : Epoch  7, Batch    317, Loss  0.886717, Average Loss  0.869529, Time  0.238567
2021-09-16 15:04:52.178034 : Epoch  7, Batch    318, Loss  0.865732, Average Loss  0.869545, Time  0.238438
2021-09-16 15:04:54.761668 : Epoch  7, Batch    319, Loss  0.890458, Average Loss  0.869696, Time  0.238324
2021-09-16 15:04:57.343892 : Epoch  7, Batch    320, Loss  0.878450, Average Loss  0.869729, Time  0.238564
2021-09-16 15:04:59.938760 : Epoch  7, Batch    321, Loss  0.860516, Average Loss  0.869653, Time  0.239395
2021-09-16 15:05:02.521721 : Epoch  7, Batch    322, Loss  0.878755, Average Loss  0.869634, Time  0.239268
2021-09-16 15:05:05.108853 : Epoch  7, Batch    323, Loss  0.876291, Average Loss  0.869731, Time  0.239002
2021-09-16 15:05:07.693768 : Epoch  7, Batch    324, Loss  0.828952, Average Loss  0.869444, Time  0.239025
2021-09-16 15:05:10.278016 : Epoch  7, Batch    325, Loss  0.874479, Average Loss  0.869476, Time  0.239350
2021-09-16 15:05:12.853819 : Epoch  7, Batch    326, Loss  0.872754, Average Loss  0.869535, Time  0.238230
2021-09-16 15:05:15.451215 : Epoch  7, Batch    327, Loss  0.892556, Average Loss  0.869639, Time  0.238475
2021-09-16 15:05:18.029771 : Epoch  7, Batch    328, Loss  0.863315, Average Loss  0.869645, Time  0.238143
2021-09-16 15:05:20.612891 : Epoch  7, Batch    329, Loss  0.885144, Average Loss  0.869693, Time  0.238457
2021-09-16 15:05:23.188950 : Epoch  7, Batch    330, Loss  0.855846, Average Loss  0.869563, Time  0.238214
2021-09-16 15:05:25.771762 : Epoch  7, Batch    331, Loss  0.858560, Average Loss  0.869536, Time  0.238793
2021-09-16 15:05:28.355980 : Epoch  7, Batch    332, Loss  0.884214, Average Loss  0.869590, Time  0.238772
2021-09-16 15:05:30.951841 : Epoch  7, Batch    333, Loss  0.860876, Average Loss  0.869577, Time  0.238477
2021-09-16 15:05:33.532899 : Epoch  7, Batch    334, Loss  0.892804, Average Loss  0.869620, Time  0.238134
2021-09-16 15:05:36.113830 : Epoch  7, Batch    335, Loss  0.846593, Average Loss  0.869561, Time  0.238199
2021-09-16 15:05:38.687845 : Epoch  7, Batch    336, Loss  0.867011, Average Loss  0.869495, Time  0.238435
2021-09-16 15:05:41.266844 : Epoch  7, Batch    337, Loss  0.887651, Average Loss  0.869807, Time  0.238420
2021-09-16 15:05:43.844945 : Epoch  7, Batch    338, Loss  0.888795, Average Loss  0.869917, Time  0.238346
2021-09-16 15:05:46.425974 : Epoch  7, Batch    339, Loss  0.875333, Average Loss  0.869984, Time  0.238263
2021-09-16 15:05:49.013958 : Epoch  7, Batch    340, Loss  0.868475, Average Loss  0.869920, Time  0.238138
2021-09-16 15:05:51.584320 : Epoch  7, Batch    341, Loss  0.870851, Average Loss  0.869845, Time  0.238770
2021-09-16 15:05:54.171002 : Epoch  7, Batch    342, Loss  0.872756, Average Loss  0.869731, Time  0.238311
2021-09-16 15:05:56.750247 : Epoch  7, Batch    343, Loss  0.869183, Average Loss  0.869654, Time  0.239192
2021-09-16 15:05:59.338725 : Epoch  7, Batch    344, Loss  0.858659, Average Loss  0.869642, Time  0.238554
2021-09-16 15:06:01.919711 : Epoch  7, Batch    345, Loss  0.853110, Average Loss  0.869572, Time  0.239130
2021-09-16 15:06:04.495751 : Epoch  7, Batch    346, Loss  0.877043, Average Loss  0.869568, Time  0.238735
2021-09-16 15:06:07.074849 : Epoch  7, Batch    347, Loss  0.860699, Average Loss  0.869533, Time  0.239109
2021-09-16 15:06:09.649972 : Epoch  7, Batch    348, Loss  0.862669, Average Loss  0.869435, Time  0.238269
2021-09-16 15:06:12.224280 : Epoch  7, Batch    349, Loss  0.875355, Average Loss  0.869441, Time  0.238472
2021-09-16 15:06:14.811759 : Epoch  7, Batch    350, Loss  0.859254, Average Loss  0.869448, Time  0.238725
2021-09-16 15:06:17.383810 : Epoch  7, Batch    351, Loss  0.874520, Average Loss  0.869494, Time  0.238353
2021-09-16 15:06:19.957740 : Epoch  7, Batch    352, Loss  0.880472, Average Loss  0.869565, Time  0.238780
2021-09-16 15:06:22.534940 : Epoch  7, Batch    353, Loss  0.852745, Average Loss  0.869434, Time  0.238490
2021-09-16 15:06:25.119991 : Epoch  7, Batch    354, Loss  0.875283, Average Loss  0.869443, Time  0.238668
2021-09-16 15:06:27.691902 : Epoch  7, Batch    355, Loss  0.870371, Average Loss  0.869487, Time  0.238143
2021-09-16 15:06:30.273715 : Epoch  7, Batch    356, Loss  0.875783, Average Loss  0.869535, Time  0.238347
2021-09-16 15:06:32.850295 : Epoch  7, Batch    357, Loss  0.871006, Average Loss  0.869741, Time  0.238213
2021-09-16 15:06:35.430766 : Epoch  7, Batch    358, Loss  0.888984, Average Loss  0.869852, Time  0.239436
2021-09-16 15:06:38.006197 : Epoch  7, Batch    359, Loss  0.872851, Average Loss  0.869917, Time  0.238499
2021-09-16 15:06:40.587719 : Epoch  7, Batch    360, Loss  0.872440, Average Loss  0.869959, Time  0.238237
2021-09-16 15:06:43.162207 : Epoch  7, Batch    361, Loss  0.865014, Average Loss  0.869870, Time  0.238191
2021-09-16 15:06:45.570807 : CheckPoint: Validation Loss  0.00029750, Best Loss  0.00029295
2021-09-16 15:06:45.736977 : Epoch  7, Batch    362, Loss  0.866920, Average Loss  0.869826, Time  0.238357
2021-09-16 15:06:48.301018 : Epoch  7, Batch    363, Loss  0.880123, Average Loss  0.869881, Time  0.238481
2021-09-16 15:06:48.604461 : Epoch  8, Batch   1709, Loss  0.857889, Average Loss  0.867733, Time  0.264150
2021-09-16 15:06:50.876897 : Epoch  7, Batch    364, Loss  0.873025, Average Loss  0.869933, Time  0.238124
2021-09-16 15:06:51.636900 : Epoch  8, Batch   1710, Loss  0.853349, Average Loss  0.867566, Time  0.264352
2021-09-16 15:06:54.691776 : Epoch  8, Batch   1711, Loss  0.868896, Average Loss  0.867528, Time  0.264614
2021-09-16 15:06:57.727044 : Epoch  8, Batch   1712, Loss  0.872485, Average Loss  0.867557, Time  0.264218
2021-09-16 15:07:00.764831 : Epoch  8, Batch   1713, Loss  0.881779, Average Loss  0.867595, Time  0.263966
2021-09-16 15:07:03.805086 : Epoch  8, Batch   1714, Loss  0.876823, Average Loss  0.867605, Time  0.264487
2021-09-16 15:07:06.867080 : Epoch  8, Batch   1715, Loss  0.878990, Average Loss  0.867621, Time  0.264284
2021-09-16 15:07:09.909710 : Epoch  8, Batch   1716, Loss  0.861340, Average Loss  0.867550, Time  0.263950
2021-09-16 15:07:12.950955 : Epoch  8, Batch   1717, Loss  0.876693, Average Loss  0.867531, Time  0.264206
2021-09-16 15:07:15.989852 : Epoch  8, Batch   1718, Loss  0.879876, Average Loss  0.867575, Time  0.265438
2021-09-16 15:07:19.023805 : Epoch  8, Batch   1719, Loss  0.868515, Average Loss  0.867578, Time  0.264555
2021-09-16 15:07:22.071344 : Epoch  8, Batch   1720, Loss  0.872051, Average Loss  0.867547, Time  0.273880
2021-09-16 15:07:25.105843 : Epoch  8, Batch   1721, Loss  0.868078, Average Loss  0.867617, Time  0.264558
2021-09-16 15:07:28.145207 : Epoch  8, Batch   1722, Loss  0.865714, Average Loss  0.867529, Time  0.264464
2021-09-16 15:07:31.187037 : Epoch  8, Batch   1723, Loss  0.865640, Average Loss  0.867509, Time  0.264777
2021-09-16 15:07:34.232833 : Epoch  8, Batch   1724, Loss  0.860221, Average Loss  0.867425, Time  0.264319
2021-09-16 15:07:37.274827 : Epoch  8, Batch   1725, Loss  0.870138, Average Loss  0.867369, Time  0.264600
2021-09-16 15:07:40.311686 : Epoch  8, Batch   1726, Loss  0.870744, Average Loss  0.867273, Time  0.264792
2021-09-16 15:07:43.352858 : Epoch  8, Batch   1727, Loss  0.873111, Average Loss  0.867344, Time  0.264451
2021-09-16 15:07:46.394367 : Epoch  8, Batch   1728, Loss  0.855034, Average Loss  0.867246, Time  0.264118
2021-09-16 15:07:49.439709 : Epoch  8, Batch   1729, Loss  0.849685, Average Loss  0.867161, Time  0.264406
2021-09-16 15:07:52.473884 : Epoch  8, Batch   1730, Loss  0.868598, Average Loss  0.867126, Time  0.264517
2021-09-16 15:07:55.508651 : Epoch  8, Batch   1731, Loss  0.857656, Average Loss  0.867075, Time  0.264363
2021-09-16 15:07:58.550275 : Epoch  8, Batch   1732, Loss  0.888164, Average Loss  0.867182, Time  0.264990
2021-09-16 15:08:01.584969 : Epoch  8, Batch   1733, Loss  0.854836, Average Loss  0.867004, Time  0.264098
2021-09-16 15:08:04.622053 : Epoch  8, Batch   1734, Loss  0.862327, Average Loss  0.867023, Time  0.264672
2021-09-16 15:08:07.675799 : Epoch  8, Batch   1735, Loss  0.873111, Average Loss  0.867073, Time  0.276525
2021-09-16 15:08:10.717321 : Epoch  8, Batch   1736, Loss  0.853321, Average Loss  0.866920, Time  0.264542
2021-09-16 15:08:13.767153 : Epoch  8, Batch   1737, Loss  0.873570, Average Loss  0.867053, Time  0.264186
2021-09-16 15:08:16.811666 : Epoch  8, Batch   1738, Loss  0.851968, Average Loss  0.867070, Time  0.264245
2021-09-16 15:08:19.849760 : Epoch  8, Batch   1739, Loss  0.886006, Average Loss  0.867158, Time  0.264404
2021-09-16 15:08:22.882514 : Epoch  8, Batch   1740, Loss  0.870640, Average Loss  0.867276, Time  0.264098
2021-09-16 15:08:25.935333 : Epoch  8, Batch   1741, Loss  0.873114, Average Loss  0.867403, Time  0.264354
2021-09-16 15:08:28.964302 : Epoch  8, Batch   1742, Loss  0.858218, Average Loss  0.867429, Time  0.264087
2021-09-16 15:08:32.005664 : Epoch  8, Batch   1743, Loss  0.867933, Average Loss  0.867371, Time  0.264800
2021-09-16 15:08:35.036159 : Epoch  8, Batch   1744, Loss  0.850960, Average Loss  0.867300, Time  0.264350
2021-09-16 15:08:38.067423 : Epoch  8, Batch   1745, Loss  0.881744, Average Loss  0.867314, Time  0.264203
2021-09-16 15:08:41.096897 : Epoch  8, Batch   1746, Loss  0.853587, Average Loss  0.867326, Time  0.264266
2021-09-16 15:08:44.129330 : Epoch  8, Batch   1747, Loss  0.862219, Average Loss  0.867307, Time  0.264203
2021-09-16 15:08:47.158892 : Epoch  8, Batch   1748, Loss  0.864635, Average Loss  0.867269, Time  0.263970
2021-09-16 15:08:50.189806 : Epoch  8, Batch   1749, Loss  0.860537, Average Loss  0.867200, Time  0.264222
2021-09-16 15:08:53.245022 : Epoch  8, Batch   1750, Loss  0.881011, Average Loss  0.867317, Time  0.276235
2021-09-16 15:08:56.283863 : Epoch  8, Batch   1751, Loss  0.858962, Average Loss  0.867362, Time  0.265282
2021-09-16 15:08:59.323908 : Epoch  8, Batch   1752, Loss  0.892355, Average Loss  0.867478, Time  0.264245
2021-09-16 15:09:02.363813 : Epoch  8, Batch   1753, Loss  0.864772, Average Loss  0.867492, Time  0.264073
2021-09-16 15:09:05.410239 : Epoch  8, Batch   1754, Loss  0.880256, Average Loss  0.867703, Time  0.264219
2021-09-16 15:09:08.439965 : Epoch  8, Batch   1755, Loss  0.860867, Average Loss  0.867701, Time  0.264426
2021-09-16 15:09:11.479019 : Epoch  8, Batch   1756, Loss  0.873423, Average Loss  0.867784, Time  0.264324
2021-09-16 15:09:14.529433 : Epoch  8, Batch   1757, Loss  0.861172, Average Loss  0.867717, Time  0.264045
2021-09-16 15:09:17.574852 : Epoch  8, Batch   1758, Loss  0.857069, Average Loss  0.867603, Time  0.264359
2021-09-16 15:09:20.619199 : Epoch  8, Batch   1759, Loss  0.892860, Average Loss  0.867747, Time  0.264576
2021-09-16 15:09:23.657326 : Epoch  8, Batch   1760, Loss  0.871024, Average Loss  0.867620, Time  0.264602
2021-09-16 15:09:26.705618 : Epoch  8, Batch   1761, Loss  0.867399, Average Loss  0.867628, Time  0.264772
2021-09-16 15:09:29.745819 : Epoch  8, Batch   1762, Loss  0.861182, Average Loss  0.867578, Time  0.264737
2021-09-16 15:09:32.789789 : Epoch  8, Batch   1763, Loss  0.864495, Average Loss  0.867578, Time  0.264693
2021-09-16 15:09:35.823805 : Epoch  8, Batch   1764, Loss  0.883188, Average Loss  0.867644, Time  0.264131
2021-09-16 15:09:38.889055 : Epoch  8, Batch   1765, Loss  0.862820, Average Loss  0.867655, Time  0.276392
2021-09-16 15:09:41.928220 : Epoch  8, Batch   1766, Loss  0.858659, Average Loss  0.867524, Time  0.264219
2021-09-16 15:09:44.967579 : Epoch  8, Batch   1767, Loss  0.859746, Average Loss  0.867396, Time  0.264173
2021-09-16 15:09:48.001506 : Epoch  8, Batch   1768, Loss  0.868452, Average Loss  0.867330, Time  0.264132
2021-09-16 15:09:51.044862 : Epoch  8, Batch   1769, Loss  0.844684, Average Loss  0.867251, Time  0.263993
2021-09-16 15:09:54.104000 : Epoch  8, Batch   1770, Loss  0.855340, Average Loss  0.867288, Time  0.263852
2021-09-16 15:09:57.136753 : Epoch  8, Batch   1771, Loss  0.886096, Average Loss  0.867267, Time  0.264548
2021-09-16 15:10:00.175300 : Epoch  8, Batch   1772, Loss  0.869972, Average Loss  0.867321, Time  0.264470
2021-09-16 15:10:03.206540 : Epoch  8, Batch   1773, Loss  0.886429, Average Loss  0.867428, Time  0.263831
2021-09-16 15:10:06.248478 : Epoch  8, Batch   1774, Loss  0.870218, Average Loss  0.867461, Time  0.264417
2021-09-16 15:10:09.287496 : Epoch  8, Batch   1775, Loss  0.873344, Average Loss  0.867470, Time  0.263964
2021-09-16 15:10:12.324678 : Epoch  8, Batch   1776, Loss  0.862408, Average Loss  0.867453, Time  0.264155
2021-09-16 15:10:15.355091 : Epoch  8, Batch   1777, Loss  0.859443, Average Loss  0.867549, Time  0.264462
2021-09-16 15:10:18.386539 : Epoch  8, Batch   1778, Loss  0.889315, Average Loss  0.867598, Time  0.264553
2021-09-16 15:10:21.422809 : Epoch  8, Batch   1779, Loss  0.841460, Average Loss  0.867433, Time  0.264616
2021-09-16 15:10:24.470787 : Epoch  8, Batch   1780, Loss  0.868733, Average Loss  0.867535, Time  0.277576
2021-09-16 15:10:27.515434 : Epoch  8, Batch   1781, Loss  0.859163, Average Loss  0.867487, Time  0.264963
2021-09-16 15:10:30.542376 : Epoch  8, Batch   1782, Loss  0.857594, Average Loss  0.867406, Time  0.264158
2021-09-16 15:10:33.577865 : Epoch  8, Batch   1783, Loss  0.869513, Average Loss  0.867291, Time  0.264221
2021-09-16 15:10:36.616919 : Epoch  8, Batch   1784, Loss  0.896833, Average Loss  0.867399, Time  0.264498
2021-09-16 15:10:39.655777 : Epoch  8, Batch   1785, Loss  0.875671, Average Loss  0.867355, Time  0.264189
2021-09-16 15:10:42.683575 : Epoch  8, Batch   1786, Loss  0.864010, Average Loss  0.867282, Time  0.264299
2021-09-16 15:10:45.722709 : Epoch  8, Batch   1787, Loss  0.865204, Average Loss  0.867330, Time  0.264179
2021-09-16 15:10:48.758883 : Epoch  8, Batch   1788, Loss  0.872135, Average Loss  0.867363, Time  0.264262
2021-09-16 15:10:51.273692 : CheckPoint: Validation Loss  0.00030504, Best Loss  0.00029207
2021-09-16 15:10:51.794063 : Epoch  8, Batch   1789, Loss  0.875902, Average Loss  0.867434, Time  0.264137
2021-09-16 15:10:53.856668 : Epoch  7, Batch    365, Loss  0.846961, Average Loss  0.869896, Time  0.240504
2021-09-16 15:10:54.811108 : Epoch  8, Batch   1790, Loss  0.872573, Average Loss  0.867529, Time  0.264161
2021-09-16 15:10:56.434188 : Epoch  7, Batch    366, Loss  0.871016, Average Loss  0.869813, Time  0.238235
2021-09-16 15:10:57.853539 : Epoch  8, Batch   1791, Loss  0.873447, Average Loss  0.867538, Time  0.264213
2021-09-16 15:10:59.013957 : Epoch  7, Batch    367, Loss  0.863539, Average Loss  0.869724, Time  0.238576
2021-09-16 15:11:00.885651 : Epoch  8, Batch   1792, Loss  0.876597, Average Loss  0.867639, Time  0.264558
2021-09-16 15:11:01.596187 : Epoch  7, Batch    368, Loss  0.885716, Average Loss  0.869852, Time  0.238304
2021-09-16 15:11:03.921572 : Epoch  8, Batch   1793, Loss  0.890607, Average Loss  0.867725, Time  0.264035
2021-09-16 15:11:04.186234 : Epoch  7, Batch    369, Loss  0.881232, Average Loss  0.869895, Time  0.238489
2021-09-16 15:11:06.752768 : Epoch  7, Batch    370, Loss  0.863489, Average Loss  0.869883, Time  0.238574
2021-09-16 15:11:06.970105 : Epoch  8, Batch   1794, Loss  0.887522, Average Loss  0.867891, Time  0.263968
2021-09-16 15:11:09.332988 : Epoch  7, Batch    371, Loss  0.871242, Average Loss  0.869915, Time  0.238264
2021-09-16 15:11:10.009778 : Epoch  8, Batch   1795, Loss  0.852032, Average Loss  0.867894, Time  0.274811
2021-09-16 15:11:11.952746 : Epoch  7, Batch    372, Loss  0.857279, Average Loss  0.869883, Time  0.238519
2021-09-16 15:11:13.043045 : Epoch  8, Batch   1796, Loss  0.875145, Average Loss  0.867942, Time  0.265967
2021-09-16 15:11:14.542283 : Epoch  7, Batch    373, Loss  0.853142, Average Loss  0.869745, Time  0.238204
2021-09-16 15:11:16.075714 : Epoch  8, Batch   1797, Loss  0.874229, Average Loss  0.867995, Time  0.266163
2021-09-16 15:11:17.211287 : Epoch  7, Batch    374, Loss  0.859269, Average Loss  0.869612, Time  0.238724
2021-09-16 15:11:19.115909 : Epoch  8, Batch   1798, Loss  0.881349, Average Loss  0.868050, Time  0.264225
2021-09-16 15:11:19.805898 : Epoch  7, Batch    375, Loss  0.875291, Average Loss  0.869723, Time  0.238460
2021-09-16 15:11:22.157135 : Epoch  8, Batch   1799, Loss  0.875658, Average Loss  0.868225, Time  0.264067
2021-09-16 15:11:22.383403 : Epoch  7, Batch    376, Loss  0.849265, Average Loss  0.869629, Time  0.238771
2021-09-16 15:11:24.950021 : Epoch  7, Batch    377, Loss  0.863452, Average Loss  0.869525, Time  0.238101
2021-09-16 15:11:25.192233 : Epoch  8, Batch   1800, Loss  0.874248, Average Loss  0.868223, Time  0.264035
2021-09-16 15:11:27.533176 : Epoch  7, Batch    378, Loss  0.856975, Average Loss  0.869462, Time  0.238120
2021-09-16 15:11:28.230581 : Epoch  8, Batch   1801, Loss  0.870861, Average Loss  0.868186, Time  0.264245
2021-09-16 15:11:30.119990 : Epoch  7, Batch    379, Loss  0.863935, Average Loss  0.869467, Time  0.238337
2021-09-16 15:11:31.258481 : Epoch  8, Batch   1802, Loss  0.869448, Average Loss  0.868165, Time  0.264759
2021-09-16 15:11:32.704197 : Epoch  7, Batch    380, Loss  0.875885, Average Loss  0.869592, Time  0.238036
2021-09-16 15:11:34.294969 : Epoch  8, Batch   1803, Loss  0.871973, Average Loss  0.868121, Time  0.264416
2021-09-16 15:11:35.281986 : Epoch  7, Batch    381, Loss  0.866538, Average Loss  0.869582, Time  0.240158
2021-09-16 15:11:37.326629 : Epoch  8, Batch   1804, Loss  0.836040, Average Loss  0.867962, Time  0.264305
2021-09-16 15:11:37.863791 : Epoch  7, Batch    382, Loss  0.855874, Average Loss  0.869536, Time  0.238516
2021-09-16 15:11:40.362105 : Epoch  8, Batch   1805, Loss  0.889351, Average Loss  0.868101, Time  0.264029
2021-09-16 15:11:40.446132 : Epoch  7, Batch    383, Loss  0.870655, Average Loss  0.869562, Time  0.238620
2021-09-16 15:11:43.006236 : Epoch  7, Batch    384, Loss  0.861650, Average Loss  0.869423, Time  0.238765
2021-09-16 15:11:43.388915 : Epoch  8, Batch   1806, Loss  0.863459, Average Loss  0.868165, Time  0.264208
2021-09-16 15:11:45.593765 : Epoch  7, Batch    385, Loss  0.859047, Average Loss  0.869319, Time  0.238738
2021-09-16 15:11:46.409659 : Epoch  8, Batch   1807, Loss  0.866595, Average Loss  0.868120, Time  0.264359
2021-09-16 15:11:48.168439 : Epoch  7, Batch    386, Loss  0.849685, Average Loss  0.869251, Time  0.238592
2021-09-16 15:11:49.449789 : Epoch  8, Batch   1808, Loss  0.855474, Average Loss  0.868131, Time  0.264177
2021-09-16 15:11:50.761162 : Epoch  7, Batch    387, Loss  0.871645, Average Loss  0.869155, Time  0.239081
2021-09-16 15:11:53.347825 : Epoch  7, Batch    388, Loss  0.869756, Average Loss  0.869201, Time  0.238881
2021-09-16 15:11:55.935123 : Epoch  7, Batch    389, Loss  0.875358, Average Loss  0.869273, Time  0.238228
2021-09-16 15:11:58.526953 : Epoch  7, Batch    390, Loss  0.874952, Average Loss  0.869194, Time  0.238613
2021-09-16 15:12:01.114724 : Epoch  7, Batch    391, Loss  0.865522, Average Loss  0.869240, Time  0.239443
2021-09-16 15:12:03.696928 : Epoch  7, Batch    392, Loss  0.876537, Average Loss  0.869281, Time  0.238465
2021-09-16 15:12:06.284843 : Epoch  7, Batch    393, Loss  0.870732, Average Loss  0.869200, Time  0.238536
2021-09-16 15:12:08.871896 : Epoch  7, Batch    394, Loss  0.865641, Average Loss  0.869183, Time  0.238497
2021-09-16 15:12:11.452711 : Epoch  7, Batch    395, Loss  0.887455, Average Loss  0.869277, Time  0.238640
2021-09-16 15:12:14.029964 : Epoch  7, Batch    396, Loss  0.871613, Average Loss  0.869254, Time  0.238436
2021-09-16 15:12:16.607966 : Epoch  7, Batch    397, Loss  0.875153, Average Loss  0.869323, Time  0.238492
2021-09-16 15:12:19.189923 : Epoch  7, Batch    398, Loss  0.874126, Average Loss  0.869297, Time  0.238274
2021-09-16 15:12:21.768678 : Epoch  7, Batch    399, Loss  0.871167, Average Loss  0.869325, Time  0.238561
2021-09-16 15:12:24.344353 : Epoch  7, Batch    400, Loss  0.841128, Average Loss  0.869116, Time  0.238542
2021-09-16 15:12:26.920822 : Epoch  7, Batch    401, Loss  0.857016, Average Loss  0.869046, Time  0.238322
2021-09-16 15:12:29.496938 : Epoch  7, Batch    402, Loss  0.869054, Average Loss  0.868994, Time  0.238806
2021-09-16 15:12:32.079947 : Epoch  7, Batch    403, Loss  0.859759, Average Loss  0.868993, Time  0.238536
2021-09-16 15:12:34.666154 : Epoch  7, Batch    404, Loss  0.863833, Average Loss  0.868979, Time  0.238482
2021-09-16 15:12:37.250989 : Epoch  7, Batch    405, Loss  0.848839, Average Loss  0.868814, Time  0.239608
2021-09-16 15:12:39.830277 : Epoch  7, Batch    406, Loss  0.869617, Average Loss  0.868860, Time  0.238854
2021-09-16 15:12:42.419826 : Epoch  7, Batch    407, Loss  0.875991, Average Loss  0.868826, Time  0.239750
2021-09-16 15:12:45.002168 : Epoch  7, Batch    408, Loss  0.888803, Average Loss  0.868792, Time  0.238527
2021-09-16 15:12:47.593381 : Epoch  7, Batch    409, Loss  0.866736, Average Loss  0.868767, Time  0.238828
2021-09-16 15:12:50.189067 : Epoch  7, Batch    410, Loss  0.855189, Average Loss  0.868634, Time  0.238554
2021-09-16 15:12:52.938016 : Epoch  7, Batch    411, Loss  0.871173, Average Loss  0.868608, Time  0.238399
2021-09-16 15:12:55.557194 : Epoch  7, Batch    412, Loss  0.865334, Average Loss  0.868557, Time  0.238658
2021-09-16 15:12:58.266106 : Epoch  7, Batch    413, Loss  0.881153, Average Loss  0.868677, Time  0.237946
2021-09-16 15:13:00.852005 : Epoch  7, Batch    414, Loss  0.866086, Average Loss  0.868691, Time  0.238305
2021-09-16 15:13:03.431199 : Epoch  7, Batch    415, Loss  0.869739, Average Loss  0.868737, Time  0.238106
2021-09-16 15:13:06.005715 : Epoch  7, Batch    416, Loss  0.863575, Average Loss  0.868735, Time  0.238744
2021-09-16 15:13:08.581880 : Epoch  7, Batch    417, Loss  0.844893, Average Loss  0.868571, Time  0.239119
2021-09-16 15:13:11.165312 : Epoch  7, Batch    418, Loss  0.869261, Average Loss  0.868470, Time  0.238097
2021-09-16 15:13:13.739902 : Epoch  7, Batch    419, Loss  0.876895, Average Loss  0.868485, Time  0.239269
2021-09-16 15:13:16.324860 : Epoch  7, Batch    420, Loss  0.845406, Average Loss  0.868375, Time  0.238950
2021-09-16 15:13:18.912998 : Epoch  7, Batch    421, Loss  0.850112, Average Loss  0.868211, Time  0.238546
2021-09-16 15:13:21.489859 : Epoch  7, Batch    422, Loss  0.851689, Average Loss  0.868060, Time  0.238445
2021-09-16 15:13:24.065220 : Epoch  7, Batch    423, Loss  0.888622, Average Loss  0.868293, Time  0.238543
2021-09-16 15:13:26.656925 : Epoch  7, Batch    424, Loss  0.856221, Average Loss  0.868310, Time  0.238331
2021-09-16 15:13:29.234878 : Epoch  7, Batch    425, Loss  0.858252, Average Loss  0.868333, Time  0.238233
2021-09-16 15:13:31.803928 : Epoch  7, Batch    426, Loss  0.869087, Average Loss  0.868290, Time  0.238426
2021-09-16 15:13:34.379897 : Epoch  7, Batch    427, Loss  0.866126, Average Loss  0.868294, Time  0.238389
2021-09-16 15:13:36.951895 : Epoch  7, Batch    428, Loss  0.853123, Average Loss  0.868184, Time  0.239448
2021-09-16 15:13:39.525198 : Epoch  7, Batch    429, Loss  0.857248, Average Loss  0.868098, Time  0.238140
2021-09-16 15:13:42.102959 : Epoch  7, Batch    430, Loss  0.869501, Average Loss  0.868030, Time  0.238819
2021-09-16 15:13:44.679060 : Epoch  7, Batch    431, Loss  0.867058, Average Loss  0.867991, Time  0.238953
2021-09-16 15:13:47.247896 : Epoch  7, Batch    432, Loss  0.872564, Average Loss  0.867962, Time  0.238768
2021-09-16 15:13:49.825811 : Epoch  7, Batch    433, Loss  0.872137, Average Loss  0.867972, Time  0.238621
2021-09-16 15:13:52.398951 : Epoch  7, Batch    434, Loss  0.872265, Average Loss  0.867968, Time  0.238675
2021-09-16 15:13:54.977223 : Epoch  7, Batch    435, Loss  0.885176, Average Loss  0.868113, Time  0.238552
2021-09-16 15:13:57.553702 : Epoch  7, Batch    436, Loss  0.853735, Average Loss  0.868155, Time  0.238371
2021-09-16 15:14:00.133964 : Epoch  7, Batch    437, Loss  0.875965, Average Loss  0.868218, Time  0.237978
2021-09-16 15:14:02.713878 : Epoch  7, Batch    438, Loss  0.882707, Average Loss  0.868274, Time  0.238597
2021-09-16 15:14:05.289980 : Epoch  7, Batch    439, Loss  0.882481, Average Loss  0.868305, Time  0.238539
2021-09-16 15:14:07.871950 : Epoch  7, Batch    440, Loss  0.845751, Average Loss  0.868236, Time  0.238608
2021-09-16 15:14:10.483981 : Epoch  7, Batch    441, Loss  0.882138, Average Loss  0.868300, Time  0.237955
2021-09-16 15:14:13.060932 : Epoch  7, Batch    442, Loss  0.884222, Average Loss  0.868308, Time  0.238448
2021-09-16 15:14:15.638258 : Epoch  7, Batch    443, Loss  0.882572, Average Loss  0.868547, Time  0.238332
2021-09-16 15:14:18.221736 : Epoch  7, Batch    444, Loss  0.877536, Average Loss  0.868636, Time  0.239160
2021-09-16 15:14:20.820188 : Epoch  7, Batch    445, Loss  0.865685, Average Loss  0.868473, Time  0.238463
2021-09-16 15:14:23.393195 : Epoch  7, Batch    446, Loss  0.875103, Average Loss  0.868551, Time  0.238285
2021-09-16 15:14:25.974976 : Epoch  7, Batch    447, Loss  0.886512, Average Loss  0.868593, Time  0.238440
2021-09-16 15:14:28.558710 : Epoch  7, Batch    448, Loss  0.863991, Average Loss  0.868653, Time  0.238368
2021-09-16 15:14:31.131109 : Epoch  7, Batch    449, Loss  0.865334, Average Loss  0.868654, Time  0.238360
2021-09-16 15:14:33.701986 : Epoch  7, Batch    450, Loss  0.861613, Average Loss  0.868611, Time  0.238389
2021-09-16 15:14:36.278250 : Epoch  7, Batch    451, Loss  0.868653, Average Loss  0.868609, Time  0.238730
2021-09-16 15:14:38.859726 : Epoch  7, Batch    452, Loss  0.844462, Average Loss  0.868402, Time  0.239214
2021-09-16 15:14:41.443573 : Epoch  7, Batch    453, Loss  0.858987, Average Loss  0.868274, Time  0.238393
2021-09-16 15:14:44.029945 : Epoch  7, Batch    454, Loss  0.869431, Average Loss  0.868254, Time  0.239417
2021-09-16 15:14:46.616728 : Epoch  7, Batch    455, Loss  0.877374, Average Loss  0.868342, Time  0.239171
2021-09-16 15:14:49.194840 : Epoch  7, Batch    456, Loss  0.844222, Average Loss  0.868086, Time  0.238944
2021-09-16 15:14:51.781391 : Epoch  7, Batch    457, Loss  0.879617, Average Loss  0.868157, Time  0.238930
2021-09-16 15:14:54.355804 : Epoch  7, Batch    458, Loss  0.889115, Average Loss  0.868305, Time  0.238221
2021-09-16 15:14:56.940934 : Epoch  7, Batch    459, Loss  0.869575, Average Loss  0.868281, Time  0.238360
2021-09-16 15:14:59.516990 : Epoch  7, Batch    460, Loss  0.885270, Average Loss  0.868434, Time  0.238762
2021-09-16 15:15:02.091977 : Epoch  7, Batch    461, Loss  0.847992, Average Loss  0.868326, Time  0.238504
2021-09-16 15:15:04.702952 : Epoch  7, Batch    462, Loss  0.876859, Average Loss  0.868367, Time  0.238850
2021-09-16 15:15:07.303637 : Epoch  7, Batch    463, Loss  0.853526, Average Loss  0.868291, Time  0.239475
2021-09-16 15:15:09.904761 : Epoch  7, Batch    464, Loss  0.857221, Average Loss  0.868167, Time  0.238520
2021-09-16 15:16:31.279060 : CheckPoint: Validation Loss  0.00030357, Best Loss  0.00029295
2021-09-16 15:16:34.344857 : Epoch  8, Batch   1809, Loss  0.875100, Average Loss  0.868143, Time  0.276908
2021-09-16 15:16:37.396139 : Epoch  8, Batch   1810, Loss  0.857652, Average Loss  0.868177, Time  0.264541
2021-09-16 15:16:40.455962 : Epoch  8, Batch   1811, Loss  0.870929, Average Loss  0.868231, Time  0.265105
2021-09-16 15:16:43.497500 : Epoch  8, Batch   1812, Loss  0.876825, Average Loss  0.868294, Time  0.265027
2021-09-16 15:16:46.540874 : Epoch  8, Batch   1813, Loss  0.852728, Average Loss  0.868090, Time  0.265410
2021-09-16 15:16:49.590057 : Epoch  8, Batch   1814, Loss  0.851314, Average Loss  0.867996, Time  0.265926
2021-09-16 15:16:52.661944 : Epoch  8, Batch   1815, Loss  0.874143, Average Loss  0.867996, Time  0.265365
2021-09-16 15:16:55.707861 : Epoch  8, Batch   1816, Loss  0.866478, Average Loss  0.867984, Time  0.264891
2021-09-16 15:16:58.756832 : Epoch  8, Batch   1817, Loss  0.875674, Average Loss  0.868054, Time  0.265867
2021-09-16 15:17:01.800548 : Epoch  8, Batch   1818, Loss  0.863211, Average Loss  0.868123, Time  0.265861
2021-09-16 15:17:04.853978 : Epoch  8, Batch   1819, Loss  0.858476, Average Loss  0.868013, Time  0.265704
2021-09-16 15:17:07.901866 : Epoch  8, Batch   1820, Loss  0.855724, Average Loss  0.867865, Time  0.265355
2021-09-16 15:17:10.945208 : Epoch  8, Batch   1821, Loss  0.885502, Average Loss  0.867954, Time  0.265236
2021-09-16 15:17:14.012128 : Epoch  8, Batch   1822, Loss  0.865863, Average Loss  0.868022, Time  0.275400
2021-09-16 15:17:17.054270 : Epoch  8, Batch   1823, Loss  0.846029, Average Loss  0.867935, Time  0.265660
2021-09-16 15:17:20.109294 : Epoch  8, Batch   1824, Loss  0.878010, Average Loss  0.868006, Time  0.265798
2021-09-16 15:17:23.156359 : Epoch  8, Batch   1825, Loss  0.854775, Average Loss  0.867989, Time  0.264651
2021-09-16 15:17:26.218625 : Epoch  8, Batch   1826, Loss  0.866066, Average Loss  0.868130, Time  0.264224
2021-09-16 15:17:29.251874 : Epoch  8, Batch   1827, Loss  0.870605, Average Loss  0.868124, Time  0.264728
2021-09-16 15:17:32.302803 : Epoch  8, Batch   1828, Loss  0.902230, Average Loss  0.868278, Time  0.264757
2021-09-16 15:17:35.350507 : Epoch  8, Batch   1829, Loss  0.875407, Average Loss  0.868282, Time  0.265122
2021-09-16 15:17:38.404510 : Epoch  8, Batch   1830, Loss  0.867475, Average Loss  0.868358, Time  0.265242
2021-09-16 15:17:41.459277 : Epoch  8, Batch   1831, Loss  0.840680, Average Loss  0.868127, Time  0.264966
2021-09-16 15:17:44.509921 : Epoch  8, Batch   1832, Loss  0.858560, Average Loss  0.868045, Time  0.266061
2021-09-16 15:17:47.569547 : Epoch  8, Batch   1833, Loss  0.886759, Average Loss  0.868175, Time  0.265865
2021-09-16 15:17:50.615624 : Epoch  8, Batch   1834, Loss  0.857698, Average Loss  0.868145, Time  0.264669
2021-09-16 15:17:53.650819 : Epoch  8, Batch   1835, Loss  0.884176, Average Loss  0.868198, Time  0.265349
2021-09-16 15:17:56.695860 : Epoch  8, Batch   1836, Loss  0.865286, Average Loss  0.868084, Time  0.265463
2021-09-16 15:17:59.776811 : Epoch  8, Batch   1837, Loss  0.861913, Average Loss  0.868068, Time  0.275789
2021-09-16 15:18:02.832909 : Epoch  8, Batch   1838, Loss  0.861253, Average Loss  0.868079, Time  0.265988
2021-09-16 15:18:05.874875 : Epoch  8, Batch   1839, Loss  0.857308, Average Loss  0.868035, Time  0.265781
2021-09-16 15:18:08.932929 : Epoch  8, Batch   1840, Loss  0.881596, Average Loss  0.868125, Time  0.265684
2021-09-16 15:18:11.995181 : Epoch  8, Batch   1841, Loss  0.887083, Average Loss  0.868268, Time  0.264399
2021-09-16 15:18:15.043013 : Epoch  8, Batch   1842, Loss  0.885838, Average Loss  0.868358, Time  0.265368
2021-09-16 15:18:18.095678 : Epoch  8, Batch   1843, Loss  0.883262, Average Loss  0.868331, Time  0.265447
2021-09-16 15:18:21.139668 : Epoch  8, Batch   1844, Loss  0.877269, Average Loss  0.868338, Time  0.265392
2021-09-16 15:18:24.174360 : Epoch  8, Batch   1845, Loss  0.882584, Average Loss  0.868454, Time  0.265056
2021-09-16 15:18:27.213934 : Epoch  8, Batch   1846, Loss  0.878614, Average Loss  0.868455, Time  0.265055
2021-09-16 15:18:30.269020 : Epoch  8, Batch   1847, Loss  0.850377, Average Loss  0.868360, Time  0.264629
2021-09-16 15:18:33.307224 : Epoch  8, Batch   1848, Loss  0.881635, Average Loss  0.868351, Time  0.264419
2021-09-16 15:18:36.346205 : Epoch  8, Batch   1849, Loss  0.886876, Average Loss  0.868527, Time  0.265477
2021-09-16 15:18:39.398768 : Epoch  8, Batch   1850, Loss  0.869520, Average Loss  0.868528, Time  0.265352
2021-09-16 15:18:42.429218 : Epoch  8, Batch   1851, Loss  0.880962, Average Loss  0.868537, Time  0.265102
2021-09-16 15:18:45.492222 : Epoch  8, Batch   1852, Loss  0.875648, Average Loss  0.868687, Time  0.279142
2021-09-16 15:18:48.551907 : Epoch  8, Batch   1853, Loss  0.864179, Average Loss  0.868744, Time  0.265303
2021-09-16 15:18:51.598731 : Epoch  8, Batch   1854, Loss  0.889802, Average Loss  0.868827, Time  0.265021
2021-09-16 15:18:54.642192 : Epoch  8, Batch   1855, Loss  0.863819, Average Loss  0.868834, Time  0.265694
2021-09-16 15:18:57.686158 : Epoch  8, Batch   1856, Loss  0.863299, Average Loss  0.868745, Time  0.264890
2021-09-16 15:18:57.723666 : Saving Model after 8-th Epoch.
2021-09-16 15:18:58.635670 : Epoch Finished.
2021-09-16 15:19:04.232398 : Batch Shuffled
2021-09-16 15:19:07.317422 : Epoch  9, Batch      1, Loss  0.850739, Average Loss  0.868704, Time  0.266247
2021-09-16 15:19:10.415468 : Epoch  9, Batch      2, Loss  0.887120, Average Loss  0.868857, Time  0.265443
2021-09-16 15:19:10.811689 : CheckPoint: Validation Loss  0.00031117, Best Loss  0.00029207
2021-09-16 15:19:13.392760 : Epoch  7, Batch    465, Loss  0.869098, Average Loss  0.868160, Time  0.261043
2021-09-16 15:19:13.496801 : Epoch  9, Batch      3, Loss  0.869450, Average Loss  0.868753, Time  0.265225
2021-09-16 15:19:15.965686 : Epoch  7, Batch    466, Loss  0.857013, Average Loss  0.868051, Time  0.239687
2021-09-16 15:19:16.542510 : Epoch  9, Batch      4, Loss  0.889678, Average Loss  0.868904, Time  0.264930
2021-09-16 15:19:18.541148 : Epoch  7, Batch    467, Loss  0.862698, Average Loss  0.868136, Time  0.238203
2021-09-16 15:19:19.625163 : Epoch  9, Batch      5, Loss  0.860686, Average Loss  0.869088, Time  0.265422
2021-09-16 15:19:21.119804 : Epoch  7, Batch    468, Loss  0.855466, Average Loss  0.868017, Time  0.239305
2021-09-16 15:19:22.704922 : Epoch  9, Batch      6, Loss  0.865031, Average Loss  0.869080, Time  0.265020
2021-09-16 15:19:23.703781 : Epoch  7, Batch    469, Loss  0.882081, Average Loss  0.868032, Time  0.238644
2021-09-16 15:19:25.770269 : Epoch  9, Batch      7, Loss  0.845916, Average Loss  0.868931, Time  0.265415
2021-09-16 15:19:26.284070 : Epoch  7, Batch    470, Loss  0.878709, Average Loss  0.868108, Time  0.238914
2021-09-16 15:19:28.847847 : Epoch  9, Batch      8, Loss  0.866278, Average Loss  0.868897, Time  0.265288
2021-09-16 15:19:28.869498 : Epoch  7, Batch    471, Loss  0.860571, Average Loss  0.868093, Time  0.238527
2021-09-16 15:19:31.449877 : Epoch  7, Batch    472, Loss  0.855735, Average Loss  0.868146, Time  0.238363
2021-09-16 15:19:31.908867 : Epoch  9, Batch      9, Loss  0.895937, Average Loss  0.869031, Time  0.273101
2021-09-16 15:19:34.051002 : Epoch  7, Batch    473, Loss  0.857075, Average Loss  0.868133, Time  0.238518
2021-09-16 15:19:34.966740 : Epoch  9, Batch     10, Loss  0.879786, Average Loss  0.869008, Time  0.265092
2021-09-16 15:19:36.652716 : Epoch  7, Batch    474, Loss  0.863933, Average Loss  0.868136, Time  0.237972
2021-09-16 15:19:38.038895 : Epoch  9, Batch     11, Loss  0.869311, Average Loss  0.869039, Time  0.264935
2021-09-16 15:19:39.226332 : Epoch  7, Batch    475, Loss  0.875879, Average Loss  0.868148, Time  0.238337
2021-09-16 15:19:41.111869 : Epoch  9, Batch     12, Loss  0.843368, Average Loss  0.868986, Time  0.265645
2021-09-16 15:19:41.805953 : Epoch  7, Batch    476, Loss  0.867028, Average Loss  0.868058, Time  0.238169
2021-09-16 15:19:44.193338 : Epoch  9, Batch     13, Loss  0.872205, Average Loss  0.868999, Time  0.265772
2021-09-16 15:19:44.383008 : Epoch  7, Batch    477, Loss  0.863171, Average Loss  0.867991, Time  0.238950
2021-09-16 15:19:46.947507 : Epoch  7, Batch    478, Loss  0.857348, Average Loss  0.867920, Time  0.238815
2021-09-16 15:19:47.255771 : Epoch  9, Batch     14, Loss  0.862494, Average Loss  0.868875, Time  0.265198
2021-09-16 15:19:49.522012 : Epoch  7, Batch    479, Loss  0.881641, Average Loss  0.867960, Time  0.238335
2021-09-16 15:19:50.318088 : Epoch  9, Batch     15, Loss  0.869374, Average Loss  0.868929, Time  0.265181
2021-09-16 15:19:52.105239 : Epoch  7, Batch    480, Loss  0.863888, Average Loss  0.867925, Time  0.238699
2021-09-16 15:19:53.390343 : Epoch  9, Batch     16, Loss  0.873493, Average Loss  0.868847, Time  0.265181
2021-09-16 15:19:54.685950 : Epoch  7, Batch    481, Loss  0.877731, Average Loss  0.868021, Time  0.238622
2021-09-16 15:19:56.450388 : Epoch  9, Batch     17, Loss  0.868730, Average Loss  0.868935, Time  0.264866
2021-09-16 15:19:57.270787 : Epoch  7, Batch    482, Loss  0.879911, Average Loss  0.868053, Time  0.238252
2021-09-16 15:19:59.523454 : Epoch  9, Batch     18, Loss  0.865311, Average Loss  0.868934, Time  0.264692
2021-09-16 15:19:59.846267 : Epoch  7, Batch    483, Loss  0.866457, Average Loss  0.868127, Time  0.238559
2021-09-16 15:20:02.427149 : Epoch  7, Batch    484, Loss  0.874022, Average Loss  0.868167, Time  0.238569
2021-09-16 15:20:02.602658 : Epoch  9, Batch     19, Loss  0.864269, Average Loss  0.868998, Time  0.265795
2021-09-16 15:20:05.017111 : Epoch  7, Batch    485, Loss  0.887573, Average Loss  0.868337, Time  0.238537
2021-09-16 15:20:05.654007 : Epoch  9, Batch     20, Loss  0.872285, Average Loss  0.868952, Time  0.264947
2021-09-16 15:20:07.599975 : Epoch  7, Batch    486, Loss  0.840798, Average Loss  0.868097, Time  0.238306
2021-09-16 15:20:08.733227 : Epoch  9, Batch     21, Loss  0.858639, Average Loss  0.868990, Time  0.267786
2021-09-16 15:20:10.175205 : Epoch  7, Batch    487, Loss  0.862851, Average Loss  0.868092, Time  0.238883
2021-09-16 15:20:11.805358 : Epoch  9, Batch     22, Loss  0.877694, Average Loss  0.869029, Time  0.265276
2021-09-16 15:20:12.753742 : Epoch  7, Batch    488, Loss  0.851323, Average Loss  0.868021, Time  0.238758
2021-09-16 15:20:14.898866 : Epoch  9, Batch     23, Loss  0.857389, Average Loss  0.868867, Time  0.265154
2021-09-16 15:20:15.341074 : Epoch  7, Batch    489, Loss  0.868972, Average Loss  0.867930, Time  0.239351
2021-09-16 15:20:17.906024 : Epoch  7, Batch    490, Loss  0.871352, Average Loss  0.867925, Time  0.238303
2021-09-16 15:20:17.989209 : Epoch  9, Batch     24, Loss  0.861573, Average Loss  0.868865, Time  0.275940
2021-09-16 15:20:20.543175 : Epoch  7, Batch    491, Loss  0.880028, Average Loss  0.867904, Time  0.238280
2021-09-16 15:20:21.061187 : Epoch  9, Batch     25, Loss  0.857315, Average Loss  0.868913, Time  0.264702
2021-09-16 15:20:23.124088 : Epoch  7, Batch    492, Loss  0.880390, Average Loss  0.867936, Time  0.239847
2021-09-16 15:20:24.140038 : Epoch  9, Batch     26, Loss  0.859868, Average Loss  0.868911, Time  0.265360
2021-09-16 15:20:25.710029 : Epoch  7, Batch    493, Loss  0.850552, Average Loss  0.867828, Time  0.238587
2021-09-16 15:20:27.200313 : Epoch  9, Batch     27, Loss  0.876198, Average Loss  0.868913, Time  0.264694
2021-09-16 15:20:28.291919 : Epoch  7, Batch    494, Loss  0.863847, Average Loss  0.867912, Time  0.238659
2021-09-16 15:20:30.284116 : Epoch  9, Batch     28, Loss  0.874910, Average Loss  0.868957, Time  0.264457
2021-09-16 15:20:30.879784 : Epoch  7, Batch    495, Loss  0.870468, Average Loss  0.867929, Time  0.238788
2021-09-16 15:20:33.368154 : Epoch  9, Batch     29, Loss  0.876573, Average Loss  0.868969, Time  0.265214
2021-09-16 15:20:33.466957 : Epoch  7, Batch    496, Loss  0.903015, Average Loss  0.868142, Time  0.238480
2021-09-16 15:20:36.028383 : Epoch  7, Batch    497, Loss  0.873531, Average Loss  0.868153, Time  0.238508
2021-09-16 15:20:36.452759 : Epoch  9, Batch     30, Loss  0.867585, Average Loss  0.868945, Time  0.264861
2021-09-16 15:20:38.612917 : Epoch  7, Batch    498, Loss  0.866299, Average Loss  0.868126, Time  0.238508
2021-09-16 15:20:39.523955 : Epoch  9, Batch     31, Loss  0.856015, Average Loss  0.868851, Time  0.265203
2021-09-16 15:20:41.198724 : Epoch  7, Batch    499, Loss  0.868144, Average Loss  0.868161, Time  0.238417
2021-09-16 15:20:42.606127 : Epoch  9, Batch     32, Loss  0.854775, Average Loss  0.868701, Time  0.265400
2021-09-16 15:20:43.774965 : Epoch  7, Batch    500, Loss  0.848271, Average Loss  0.868096, Time  0.238225
2021-09-16 15:20:45.695082 : Epoch  9, Batch     33, Loss  0.863663, Average Loss  0.868572, Time  0.265120
2021-09-16 15:20:46.360699 : Epoch  7, Batch    501, Loss  0.884735, Average Loss  0.868158, Time  0.238467
2021-09-16 15:20:48.769175 : Epoch  9, Batch     34, Loss  0.874704, Average Loss  0.868585, Time  0.264886
2021-09-16 15:20:48.938984 : Epoch  7, Batch    502, Loss  0.867309, Average Loss  0.868227, Time  0.238277
2021-09-16 15:20:51.504908 : Epoch  7, Batch    503, Loss  0.877098, Average Loss  0.868260, Time  0.238501
2021-09-16 15:20:51.841547 : Epoch  9, Batch     35, Loss  0.869028, Average Loss  0.868626, Time  0.265658
2021-09-16 15:20:54.083252 : Epoch  7, Batch    504, Loss  0.874146, Average Loss  0.868264, Time  0.238384
2021-09-16 15:20:54.905124 : Epoch  9, Batch     36, Loss  0.876677, Average Loss  0.868668, Time  0.266043
2021-09-16 15:20:56.666761 : Epoch  7, Batch    505, Loss  0.859032, Average Loss  0.868289, Time  0.237960
2021-09-16 15:20:57.977042 : Epoch  9, Batch     37, Loss  0.869533, Average Loss  0.868748, Time  0.265442
2021-09-16 15:20:59.248008 : Epoch  7, Batch    506, Loss  0.870810, Average Loss  0.868294, Time  0.238694
2021-09-16 15:21:01.049007 : Epoch  9, Batch     38, Loss  0.851452, Average Loss  0.868541, Time  0.265766
2021-09-16 15:21:01.811241 : Epoch  7, Batch    507, Loss  0.876718, Average Loss  0.868412, Time  0.238524
2021-09-16 15:21:04.143217 : Epoch  9, Batch     39, Loss  0.871408, Average Loss  0.868482, Time  0.273711
2021-09-16 15:21:04.390695 : Epoch  7, Batch    508, Loss  0.881621, Average Loss  0.868578, Time  0.238392
2021-09-16 15:21:06.962658 : Epoch  7, Batch    509, Loss  0.862093, Average Loss  0.868533, Time  0.238499
2021-09-16 15:21:07.247336 : Epoch  9, Batch     40, Loss  0.892048, Average Loss  0.868578, Time  0.266212
2021-09-16 15:21:09.586826 : Epoch  7, Batch    510, Loss  0.880127, Average Loss  0.868626, Time  0.241016
2021-09-16 15:21:10.340514 : Epoch  9, Batch     41, Loss  0.879375, Average Loss  0.868626, Time  0.264647
2021-09-16 15:21:12.198108 : Epoch  7, Batch    511, Loss  0.857492, Average Loss  0.868575, Time  0.241295
2021-09-16 15:21:13.437954 : Epoch  9, Batch     42, Loss  0.880904, Average Loss  0.868706, Time  0.265622
2021-09-16 15:21:14.787776 : Epoch  7, Batch    512, Loss  0.851561, Average Loss  0.868399, Time  0.238737
2021-09-16 15:21:16.514839 : Epoch  9, Batch     43, Loss  0.864686, Average Loss  0.868699, Time  0.265858
2021-09-16 15:21:17.382153 : Epoch  7, Batch    513, Loss  0.869092, Average Loss  0.868236, Time  0.240152
2021-09-16 15:21:19.598977 : Epoch  9, Batch     44, Loss  0.845976, Average Loss  0.868633, Time  0.264793
2021-09-16 15:21:19.968148 : Epoch  7, Batch    514, Loss  0.862967, Average Loss  0.868220, Time  0.239284
2021-09-16 15:21:22.541865 : Epoch  7, Batch    515, Loss  0.866851, Average Loss  0.868244, Time  0.238297
2021-09-16 15:21:22.662173 : Epoch  9, Batch     45, Loss  0.852264, Average Loss  0.868586, Time  0.264813
2021-09-16 15:21:25.136792 : Epoch  7, Batch    516, Loss  0.858715, Average Loss  0.868269, Time  0.241177
2021-09-16 15:21:25.732084 : Epoch  9, Batch     46, Loss  0.872940, Average Loss  0.868686, Time  0.265982
2021-09-16 15:21:27.727017 : Epoch  7, Batch    517, Loss  0.875227, Average Loss  0.868211, Time  0.238537
2021-09-16 15:21:28.805076 : Epoch  9, Batch     47, Loss  0.885877, Average Loss  0.868792, Time  0.264932
2021-09-16 15:21:30.306500 : Epoch  7, Batch    518, Loss  0.888378, Average Loss  0.868324, Time  0.238307
2021-09-16 15:21:31.872220 : Epoch  9, Batch     48, Loss  0.891264, Average Loss  0.868879, Time  0.264032
2021-09-16 15:21:32.903937 : Epoch  7, Batch    519, Loss  0.866287, Average Loss  0.868204, Time  0.240396
2021-09-16 15:21:34.930056 : Epoch  9, Batch     49, Loss  0.870805, Average Loss  0.868985, Time  0.264135
2021-09-16 15:21:35.483755 : Epoch  7, Batch    520, Loss  0.862760, Average Loss  0.868125, Time  0.239012
2021-09-16 15:21:37.989291 : Epoch  9, Batch     50, Loss  0.855083, Average Loss  0.868879, Time  0.264184
2021-09-16 15:21:38.078032 : Epoch  7, Batch    521, Loss  0.882486, Average Loss  0.868235, Time  0.238216
2021-09-16 15:21:40.654969 : Epoch  7, Batch    522, Loss  0.883796, Average Loss  0.868260, Time  0.238470
2021-09-16 15:21:41.036814 : Epoch  9, Batch     51, Loss  0.859607, Average Loss  0.868859, Time  0.264202
2021-09-16 15:21:43.238135 : Epoch  7, Batch    523, Loss  0.870396, Average Loss  0.868231, Time  0.240128
2021-09-16 15:21:44.070277 : Epoch  9, Batch     52, Loss  0.861340, Average Loss  0.868824, Time  0.264186
2021-09-16 15:21:45.822992 : Epoch  7, Batch    524, Loss  0.885355, Average Loss  0.868513, Time  0.239440
2021-09-16 15:21:48.412092 : Epoch  7, Batch    525, Loss  0.873984, Average Loss  0.868510, Time  0.238257
2021-09-16 15:21:51.010734 : Epoch  7, Batch    526, Loss  0.888481, Average Loss  0.868589, Time  0.238636
2021-09-16 15:21:53.591957 : Epoch  7, Batch    527, Loss  0.877133, Average Loss  0.868512, Time  0.238716
2021-09-16 15:21:56.197887 : Epoch  7, Batch    528, Loss  0.849522, Average Loss  0.868443, Time  0.240951
2021-09-16 15:21:58.785943 : Epoch  7, Batch    529, Loss  0.881809, Average Loss  0.868426, Time  0.238924
2021-09-16 15:22:01.370720 : Epoch  7, Batch    530, Loss  0.880512, Average Loss  0.868549, Time  0.238323
2021-09-16 15:22:03.951156 : Epoch  7, Batch    531, Loss  0.881836, Average Loss  0.868666, Time  0.238315
2021-09-16 15:22:06.528135 : Epoch  7, Batch    532, Loss  0.887613, Average Loss  0.868683, Time  0.238329
2021-09-16 15:22:09.119968 : Epoch  7, Batch    533, Loss  0.851280, Average Loss  0.868635, Time  0.239586
2021-09-16 15:22:11.714846 : Epoch  7, Batch    534, Loss  0.867226, Average Loss  0.868507, Time  0.239757
2021-09-16 15:22:14.289762 : Epoch  7, Batch    535, Loss  0.867417, Average Loss  0.868611, Time  0.238817
2021-09-16 15:22:16.879863 : Epoch  7, Batch    536, Loss  0.836313, Average Loss  0.868458, Time  0.238821
2021-09-16 15:22:19.462909 : Epoch  7, Batch    537, Loss  0.886345, Average Loss  0.868451, Time  0.238450
2021-09-16 15:22:22.067212 : Epoch  7, Batch    538, Loss  0.864349, Average Loss  0.868329, Time  0.238479
2021-09-16 15:22:24.659913 : Epoch  7, Batch    539, Loss  0.850350, Average Loss  0.868204, Time  0.238761
2021-09-16 15:22:27.258744 : Epoch  7, Batch    540, Loss  0.856044, Average Loss  0.868142, Time  0.239772
2021-09-16 15:22:29.841261 : Epoch  7, Batch    541, Loss  0.874806, Average Loss  0.868162, Time  0.239355
2021-09-16 15:22:32.422975 : Epoch  7, Batch    542, Loss  0.857166, Average Loss  0.868084, Time  0.239403
2021-09-16 15:22:35.036872 : Epoch  7, Batch    543, Loss  0.889541, Average Loss  0.868185, Time  0.238322
2021-09-16 15:22:37.626135 : Epoch  7, Batch    544, Loss  0.874946, Average Loss  0.868267, Time  0.238784
2021-09-16 15:22:40.211256 : Epoch  7, Batch    545, Loss  0.844873, Average Loss  0.868226, Time  0.238600
2021-09-16 15:22:42.787158 : Epoch  7, Batch    546, Loss  0.870334, Average Loss  0.868192, Time  0.238214
2021-09-16 15:22:45.368003 : Epoch  7, Batch    547, Loss  0.869102, Average Loss  0.868234, Time  0.238428
2021-09-16 15:22:47.945728 : Epoch  7, Batch    548, Loss  0.858818, Average Loss  0.868215, Time  0.239642
2021-09-16 15:22:50.531268 : Epoch  7, Batch    549, Loss  0.859618, Average Loss  0.868136, Time  0.239596
2021-09-16 15:22:53.112197 : Epoch  7, Batch    550, Loss  0.866689, Average Loss  0.868173, Time  0.239360
2021-09-16 15:22:55.692908 : Epoch  7, Batch    551, Loss  0.843895, Average Loss  0.868020, Time  0.238440
2021-09-16 15:22:58.279872 : Epoch  7, Batch    552, Loss  0.853543, Average Loss  0.867886, Time  0.238562
2021-09-16 15:23:00.859691 : Epoch  7, Batch    553, Loss  0.889718, Average Loss  0.868070, Time  0.238198
2021-09-16 15:23:03.439156 : Epoch  7, Batch    554, Loss  0.872985, Average Loss  0.868059, Time  0.238024
2021-09-16 15:23:06.025080 : Epoch  7, Batch    555, Loss  0.870400, Average Loss  0.868059, Time  0.238345
2021-09-16 15:23:08.607967 : Epoch  7, Batch    556, Loss  0.880744, Average Loss  0.868084, Time  0.238320
2021-09-16 15:23:11.204715 : Epoch  7, Batch    557, Loss  0.872934, Average Loss  0.868094, Time  0.238776
2021-09-16 15:23:13.792720 : Epoch  7, Batch    558, Loss  0.848792, Average Loss  0.867893, Time  0.239387
2021-09-16 15:23:16.367920 : Epoch  7, Batch    559, Loss  0.879901, Average Loss  0.867928, Time  0.239380
2021-09-16 15:23:18.946713 : Epoch  7, Batch    560, Loss  0.868597, Average Loss  0.867909, Time  0.238915
2021-09-16 15:23:21.533114 : Epoch  7, Batch    561, Loss  0.874147, Average Loss  0.867954, Time  0.238582
2021-09-16 15:23:24.115880 : Epoch  7, Batch    562, Loss  0.867466, Average Loss  0.867957, Time  0.238939
2021-09-16 15:23:26.699061 : Epoch  7, Batch    563, Loss  0.860460, Average Loss  0.867859, Time  0.238301
2021-09-16 15:23:29.273829 : Epoch  7, Batch    564, Loss  0.891396, Average Loss  0.867951, Time  0.238654
2021-09-16 15:26:26.037790 : CheckPoint: Validation Loss  0.00030508, Best Loss  0.00029295
2021-09-16 15:26:29.103426 : Epoch  9, Batch     53, Loss  0.870874, Average Loss  0.868889, Time  0.264441
2021-09-16 15:26:32.160515 : Epoch  9, Batch     54, Loss  0.875360, Average Loss  0.868999, Time  0.264206
2021-09-16 15:26:35.212783 : Epoch  9, Batch     55, Loss  0.868346, Average Loss  0.868996, Time  0.264241
2021-09-16 15:26:38.273167 : Epoch  9, Batch     56, Loss  0.856129, Average Loss  0.868915, Time  0.264002
2021-09-16 15:26:41.324735 : Epoch  9, Batch     57, Loss  0.853009, Average Loss  0.868771, Time  0.264294
2021-09-16 15:26:44.379863 : Epoch  9, Batch     58, Loss  0.881265, Average Loss  0.868793, Time  0.264017
2021-09-16 15:26:47.433778 : Epoch  9, Batch     59, Loss  0.880689, Average Loss  0.868801, Time  0.264412
2021-09-16 15:26:50.488461 : Epoch  9, Batch     60, Loss  0.870350, Average Loss  0.868846, Time  0.264009
2021-09-16 15:26:53.537776 : Epoch  9, Batch     61, Loss  0.879980, Average Loss  0.868863, Time  0.263779
2021-09-16 15:26:56.594468 : Epoch  9, Batch     62, Loss  0.859387, Average Loss  0.868760, Time  0.264407
2021-09-16 15:26:59.646976 : Epoch  9, Batch     63, Loss  0.874977, Average Loss  0.868793, Time  0.264371
2021-09-16 15:27:02.708080 : Epoch  9, Batch     64, Loss  0.882200, Average Loss  0.868844, Time  0.264405
2021-09-16 15:27:05.760994 : Epoch  9, Batch     65, Loss  0.856465, Average Loss  0.868785, Time  0.264261
2021-09-16 15:27:08.827196 : Epoch  9, Batch     66, Loss  0.854282, Average Loss  0.868728, Time  0.272207
2021-09-16 15:27:11.873993 : Epoch  9, Batch     67, Loss  0.883582, Average Loss  0.868818, Time  0.264468
2021-09-16 15:27:14.928814 : Epoch  9, Batch     68, Loss  0.826842, Average Loss  0.868651, Time  0.264327
2021-09-16 15:27:17.975484 : Epoch  9, Batch     69, Loss  0.886149, Average Loss  0.868731, Time  0.264668
2021-09-16 15:27:21.029844 : Epoch  9, Batch     70, Loss  0.872028, Average Loss  0.868738, Time  0.263834
2021-09-16 15:27:24.107264 : Epoch  9, Batch     71, Loss  0.869702, Average Loss  0.868721, Time  0.264161
2021-09-16 15:27:27.156047 : Epoch  9, Batch     72, Loss  0.872753, Average Loss  0.868809, Time  0.264132
2021-09-16 15:27:30.203851 : Epoch  9, Batch     73, Loss  0.868232, Average Loss  0.868902, Time  0.263842
2021-09-16 15:27:30.570653 : CheckPoint: Validation Loss  0.00030804, Best Loss  0.00029207
2021-09-16 15:27:33.119356 : Epoch  7, Batch    565, Loss  0.874836, Average Loss  0.868090, Time  0.239937
2021-09-16 15:27:33.249445 : Epoch  9, Batch     74, Loss  0.880651, Average Loss  0.868962, Time  0.264024
2021-09-16 15:27:35.701801 : Epoch  7, Batch    566, Loss  0.857204, Average Loss  0.868021, Time  0.239398
2021-09-16 15:27:36.296919 : Epoch  9, Batch     75, Loss  0.873108, Average Loss  0.869039, Time  0.263791
2021-09-16 15:27:38.280923 : Epoch  7, Batch    567, Loss  0.863256, Average Loss  0.868019, Time  0.238141
2021-09-16 15:27:39.352564 : Epoch  9, Batch     76, Loss  0.855341, Average Loss  0.868875, Time  0.264196
2021-09-16 15:27:40.886139 : Epoch  7, Batch    568, Loss  0.871940, Average Loss  0.867951, Time  0.238687
2021-09-16 15:27:42.403098 : Epoch  9, Batch     77, Loss  0.875384, Average Loss  0.868978, Time  0.264539
2021-09-16 15:27:43.471099 : Epoch  7, Batch    569, Loss  0.869192, Average Loss  0.867890, Time  0.238904
2021-09-16 15:27:45.452304 : Epoch  9, Batch     78, Loss  0.877033, Average Loss  0.869052, Time  0.264126
2021-09-16 15:27:46.054194 : Epoch  7, Batch    570, Loss  0.872306, Average Loss  0.867934, Time  0.238401
2021-09-16 15:27:48.513092 : Epoch  9, Batch     79, Loss  0.869754, Average Loss  0.869035, Time  0.264177
2021-09-16 15:27:48.647128 : Epoch  7, Batch    571, Loss  0.867773, Average Loss  0.867917, Time  0.238169
2021-09-16 15:27:51.214958 : Epoch  7, Batch    572, Loss  0.869548, Average Loss  0.867978, Time  0.238261
2021-09-16 15:27:51.559621 : Epoch  9, Batch     80, Loss  0.860228, Average Loss  0.869069, Time  0.264308
2021-09-16 15:27:53.784956 : Epoch  7, Batch    573, Loss  0.858594, Average Loss  0.868006, Time  0.238050
2021-09-16 15:27:54.608784 : Epoch  9, Batch     81, Loss  0.866777, Average Loss  0.869035, Time  0.272934
2021-09-16 15:27:56.360955 : Epoch  7, Batch    574, Loss  0.866982, Average Loss  0.868044, Time  0.238873
2021-09-16 15:27:57.672697 : Epoch  9, Batch     82, Loss  0.867170, Average Loss  0.869111, Time  0.264376
2021-09-16 15:27:58.932730 : Epoch  7, Batch    575, Loss  0.853881, Average Loss  0.867937, Time  0.238296
2021-09-16 15:28:00.716317 : Epoch  9, Batch     83, Loss  0.878706, Average Loss  0.869075, Time  0.264209
2021-09-16 15:28:01.509223 : Epoch  7, Batch    576, Loss  0.875829, Average Loss  0.868070, Time  0.238917
2021-09-16 15:28:03.782152 : Epoch  9, Batch     84, Loss  0.875544, Average Loss  0.869099, Time  0.263898
2021-09-16 15:28:04.091197 : Epoch  7, Batch    577, Loss  0.873514, Average Loss  0.868120, Time  0.238544
2021-09-16 15:28:06.648278 : Epoch  7, Batch    578, Loss  0.881283, Average Loss  0.868242, Time  0.238652
2021-09-16 15:28:06.877373 : Epoch  9, Batch     85, Loss  0.882505, Average Loss  0.869146, Time  0.263955
2021-09-16 15:28:09.227890 : Epoch  7, Batch    579, Loss  0.871550, Average Loss  0.868280, Time  0.238329
2021-09-16 15:28:09.924511 : Epoch  9, Batch     86, Loss  0.859855, Average Loss  0.869154, Time  0.264043
2021-09-16 15:28:11.808205 : Epoch  7, Batch    580, Loss  0.874429, Average Loss  0.868273, Time  0.238569
2021-09-16 15:28:12.983339 : Epoch  9, Batch     87, Loss  0.867453, Average Loss  0.869152, Time  0.264154
2021-09-16 15:28:14.373902 : Epoch  7, Batch    581, Loss  0.849254, Average Loss  0.868186, Time  0.238372
2021-09-16 15:28:16.041854 : Epoch  9, Batch     88, Loss  0.853544, Average Loss  0.869165, Time  0.265265
2021-09-16 15:28:16.955967 : Epoch  7, Batch    582, Loss  0.875492, Average Loss  0.868284, Time  0.238452
2021-09-16 15:28:19.097843 : Epoch  9, Batch     89, Loss  0.872404, Average Loss  0.869118, Time  0.264064
2021-09-16 15:28:19.541021 : Epoch  7, Batch    583, Loss  0.865571, Average Loss  0.868259, Time  0.238443
2021-09-16 15:28:22.101964 : Epoch  7, Batch    584, Loss  0.860929, Average Loss  0.868255, Time  0.238226
2021-09-16 15:28:22.150131 : Epoch  9, Batch     90, Loss  0.865002, Average Loss  0.869175, Time  0.264259
2021-09-16 15:28:24.685065 : Epoch  7, Batch    585, Loss  0.856012, Average Loss  0.868240, Time  0.238565
2021-09-16 15:28:25.191479 : Epoch  9, Batch     91, Loss  0.880602, Average Loss  0.869267, Time  0.264266
2021-09-16 15:28:27.260887 : Epoch  7, Batch    586, Loss  0.865155, Average Loss  0.868318, Time  0.238664
2021-09-16 15:28:28.224142 : Epoch  9, Batch     92, Loss  0.868827, Average Loss  0.869288, Time  0.264361
2021-09-16 15:28:29.845949 : Epoch  7, Batch    587, Loss  0.885176, Average Loss  0.868385, Time  0.239317
2021-09-16 15:28:31.285156 : Epoch  9, Batch     93, Loss  0.878220, Average Loss  0.869377, Time  0.264003
2021-09-16 15:28:32.419371 : Epoch  7, Batch    588, Loss  0.859650, Average Loss  0.868335, Time  0.238074
2021-09-16 15:28:34.336281 : Epoch  9, Batch     94, Loss  0.871715, Average Loss  0.869330, Time  0.263847
2021-09-16 15:28:34.995160 : Epoch  7, Batch    589, Loss  0.881024, Average Loss  0.868363, Time  0.238619
2021-09-16 15:28:37.386083 : Epoch  9, Batch     95, Loss  0.862144, Average Loss  0.869346, Time  0.264099
2021-09-16 15:28:37.573977 : Epoch  7, Batch    590, Loss  0.878027, Average Loss  0.868378, Time  0.239026
2021-09-16 15:28:40.142081 : Epoch  7, Batch    591, Loss  0.870070, Average Loss  0.868401, Time  0.238580
2021-09-16 15:28:40.445300 : Epoch  9, Batch     96, Loss  0.886522, Average Loss  0.869317, Time  0.277759
2021-09-16 15:28:42.717703 : Epoch  7, Batch    592, Loss  0.859332, Average Loss  0.868315, Time  0.238197
2021-09-16 15:28:43.479369 : Epoch  9, Batch     97, Loss  0.868344, Average Loss  0.869335, Time  0.264693
2021-09-16 15:28:45.303327 : Epoch  7, Batch    593, Loss  0.876338, Average Loss  0.868343, Time  0.238448
2021-09-16 15:28:46.526827 : Epoch  9, Batch     98, Loss  0.886575, Average Loss  0.869366, Time  0.264706
2021-09-16 15:28:47.882899 : Epoch  7, Batch    594, Loss  0.882132, Average Loss  0.868426, Time  0.238408
2021-09-16 15:28:49.590255 : Epoch  9, Batch     99, Loss  0.875041, Average Loss  0.869437, Time  0.264360
2021-09-16 15:28:50.462907 : Epoch  7, Batch    595, Loss  0.873146, Average Loss  0.868354, Time  0.238517
2021-09-16 15:28:52.641139 : Epoch  9, Batch    100, Loss  0.855430, Average Loss  0.869347, Time  0.264168
2021-09-16 15:28:53.046731 : Epoch  7, Batch    596, Loss  0.890069, Average Loss  0.868446, Time  0.238636
2021-09-16 15:28:55.616951 : Epoch  7, Batch    597, Loss  0.861718, Average Loss  0.868379, Time  0.238389
2021-09-16 15:28:55.721893 : Epoch  9, Batch    101, Loss  0.851875, Average Loss  0.869301, Time  0.265802
2021-09-16 15:28:58.198902 : Epoch  7, Batch    598, Loss  0.853235, Average Loss  0.868275, Time  0.238429
2021-09-16 15:28:58.782954 : Epoch  9, Batch    102, Loss  0.867783, Average Loss  0.869354, Time  0.263795
2021-09-16 15:29:00.778857 : Epoch  7, Batch    599, Loss  0.872168, Average Loss  0.868280, Time  0.238579
2021-09-16 15:29:01.843123 : Epoch  9, Batch    103, Loss  0.878873, Average Loss  0.869284, Time  0.264317
2021-09-16 15:29:03.349150 : Epoch  7, Batch    600, Loss  0.843187, Average Loss  0.868290, Time  0.238373
2021-09-16 15:29:04.895250 : Epoch  9, Batch    104, Loss  0.856176, Average Loss  0.869210, Time  0.264251
2021-09-16 15:29:05.930181 : Epoch  7, Batch    601, Loss  0.857802, Average Loss  0.868294, Time  0.238017
2021-09-16 15:29:07.942911 : Epoch  9, Batch    105, Loss  0.868278, Average Loss  0.869215, Time  0.264105
2021-09-16 15:29:08.512705 : Epoch  7, Batch    602, Loss  0.864212, Average Loss  0.868270, Time  0.238328
2021-09-16 15:29:11.000079 : Epoch  9, Batch    106, Loss  0.860461, Average Loss  0.869211, Time  0.263905
2021-09-16 15:29:11.083411 : Epoch  7, Batch    603, Loss  0.855252, Average Loss  0.868247, Time  0.238907
2021-09-16 15:29:13.655941 : Epoch  7, Batch    604, Loss  0.878867, Average Loss  0.868322, Time  0.238611
2021-09-16 15:29:14.061077 : Epoch  9, Batch    107, Loss  0.845830, Average Loss  0.869118, Time  0.264375
2021-09-16 15:29:16.241066 : Epoch  7, Batch    605, Loss  0.884986, Average Loss  0.868503, Time  0.238317
2021-09-16 15:29:17.114106 : Epoch  9, Batch    108, Loss  0.860625, Average Loss  0.869005, Time  0.263491
2021-09-16 15:29:18.813954 : Epoch  7, Batch    606, Loss  0.873393, Average Loss  0.868522, Time  0.238327
2021-09-16 15:29:20.169865 : Epoch  9, Batch    109, Loss  0.884201, Average Loss  0.869112, Time  0.263991
2021-09-16 15:29:21.397241 : Epoch  7, Batch    607, Loss  0.884763, Average Loss  0.868566, Time  0.238584
2021-09-16 15:29:23.227024 : Epoch  9, Batch    110, Loss  0.862409, Average Loss  0.869131, Time  0.264374
2021-09-16 15:29:23.969931 : Epoch  7, Batch    608, Loss  0.869325, Average Loss  0.868468, Time  0.238427
2021-09-16 15:29:26.291327 : Epoch  9, Batch    111, Loss  0.851855, Average Loss  0.869091, Time  0.275347
2021-09-16 15:29:26.553075 : Epoch  7, Batch    609, Loss  0.876944, Average Loss  0.868519, Time  0.238536
2021-09-16 15:29:29.116041 : Epoch  7, Batch    610, Loss  0.872589, Average Loss  0.868606, Time  0.239510
2021-09-16 15:29:29.346182 : Epoch  9, Batch    112, Loss  0.879489, Average Loss  0.869146, Time  0.264621
2021-09-16 15:29:31.685940 : Epoch  7, Batch    611, Loss  0.859491, Average Loss  0.868548, Time  0.238183
2021-09-16 15:29:32.390635 : Epoch  9, Batch    113, Loss  0.852074, Average Loss  0.869183, Time  0.264663
2021-09-16 15:29:34.259190 : Epoch  7, Batch    612, Loss  0.866969, Average Loss  0.868556, Time  0.239254
2021-09-16 15:29:35.440468 : Epoch  9, Batch    114, Loss  0.862731, Average Loss  0.869220, Time  0.264146
2021-09-16 15:29:36.834104 : Epoch  7, Batch    613, Loss  0.882746, Average Loss  0.868564, Time  0.239423
2021-09-16 15:29:38.501797 : Epoch  9, Batch    115, Loss  0.859583, Average Loss  0.869088, Time  0.264127
2021-09-16 15:29:39.408060 : Epoch  7, Batch    614, Loss  0.870962, Average Loss  0.868589, Time  0.239435
2021-09-16 15:29:41.555878 : Epoch  9, Batch    116, Loss  0.878065, Average Loss  0.869128, Time  0.264718
2021-09-16 15:29:41.983706 : Epoch  7, Batch    615, Loss  0.863706, Average Loss  0.868558, Time  0.238905
2021-09-16 15:29:44.558778 : Epoch  7, Batch    616, Loss  0.859166, Average Loss  0.868536, Time  0.239857
2021-09-16 15:29:44.609903 : Epoch  9, Batch    117, Loss  0.874861, Average Loss  0.869070, Time  0.264034
2021-09-16 15:29:47.139297 : Epoch  7, Batch    617, Loss  0.874621, Average Loss  0.868685, Time  0.238237
2021-09-16 15:29:47.683944 : Epoch  9, Batch    118, Loss  0.855650, Average Loss  0.868997, Time  0.263734
2021-09-16 15:29:49.721419 : Epoch  7, Batch    618, Loss  0.867575, Average Loss  0.868677, Time  0.238740
2021-09-16 15:29:50.742165 : Epoch  9, Batch    119, Loss  0.832452, Average Loss  0.868793, Time  0.264216
2021-09-16 15:29:52.299113 : Epoch  7, Batch    619, Loss  0.846986, Average Loss  0.868527, Time  0.238150
2021-09-16 15:29:53.795791 : Epoch  9, Batch    120, Loss  0.881288, Average Loss  0.868887, Time  0.264573
2021-09-16 15:29:54.890041 : Epoch  7, Batch    620, Loss  0.874508, Average Loss  0.868673, Time  0.238229
2021-09-16 15:29:56.862147 : Epoch  9, Batch    121, Loss  0.867445, Average Loss  0.868927, Time  0.264028
2021-09-16 15:29:57.462044 : Epoch  7, Batch    621, Loss  0.874902, Average Loss  0.868796, Time  0.238277
2021-09-16 15:29:59.921162 : Epoch  9, Batch    122, Loss  0.870567, Average Loss  0.868834, Time  0.265840
2021-09-16 15:30:00.044242 : Epoch  7, Batch    622, Loss  0.908980, Average Loss  0.869083, Time  0.238498
2021-09-16 15:30:02.615516 : Epoch  7, Batch    623, Loss  0.890156, Average Loss  0.869091, Time  0.238822
2021-09-16 15:30:02.985182 : Epoch  9, Batch    123, Loss  0.880638, Average Loss  0.869029, Time  0.263830
2021-09-16 15:30:05.197843 : Epoch  7, Batch    624, Loss  0.862223, Average Loss  0.869121, Time  0.239219
2021-09-16 15:30:06.031493 : Epoch  9, Batch    124, Loss  0.853596, Average Loss  0.868954, Time  0.264031
2021-09-16 15:30:07.777210 : Epoch  7, Batch    625, Loss  0.888844, Average Loss  0.869274, Time  0.238096
2021-09-16 15:30:09.093363 : Epoch  9, Batch    125, Loss  0.862259, Average Loss  0.868969, Time  0.264292
2021-09-16 15:30:10.354811 : Epoch  7, Batch    626, Loss  0.852895, Average Loss  0.869193, Time  0.238564
2021-09-16 15:30:12.147816 : Epoch  9, Batch    126, Loss  0.857765, Average Loss  0.868970, Time  0.272610
2021-09-16 15:30:12.932865 : Epoch  7, Batch    627, Loss  0.857378, Average Loss  0.869149, Time  0.238650
2021-09-16 15:30:15.201090 : Epoch  9, Batch    127, Loss  0.860325, Average Loss  0.868924, Time  0.264251
2021-09-16 15:30:15.519820 : Epoch  7, Batch    628, Loss  0.863809, Average Loss  0.869202, Time  0.238969
2021-09-16 15:30:18.091050 : Epoch  7, Batch    629, Loss  0.871757, Average Loss  0.869275, Time  0.238702
2021-09-16 15:30:18.256419 : Epoch  9, Batch    128, Loss  0.868178, Average Loss  0.868781, Time  0.263866
2021-09-16 15:30:20.665844 : Epoch  7, Batch    630, Loss  0.860367, Average Loss  0.869229, Time  0.238256
2021-09-16 15:30:21.302456 : Epoch  9, Batch    129, Loss  0.864078, Average Loss  0.868723, Time  0.264204
2021-09-16 15:30:23.393082 : Epoch  7, Batch    631, Loss  0.887202, Average Loss  0.869330, Time  0.238506
2021-09-16 15:30:24.359658 : Epoch  9, Batch    130, Loss  0.873336, Average Loss  0.868770, Time  0.263898
2021-09-16 15:30:25.969891 : Epoch  7, Batch    632, Loss  0.864709, Average Loss  0.869291, Time  0.238364
2021-09-16 15:30:27.414649 : Epoch  9, Batch    131, Loss  0.881031, Average Loss  0.868849, Time  0.264131
2021-09-16 15:30:28.553900 : Epoch  7, Batch    633, Loss  0.882692, Average Loss  0.869343, Time  0.238615
2021-09-16 15:30:30.493881 : Epoch  9, Batch    132, Loss  0.888748, Average Loss  0.868932, Time  0.265321
2021-09-16 15:30:31.141036 : Epoch  7, Batch    634, Loss  0.870823, Average Loss  0.869336, Time  0.239127
2021-09-16 15:30:33.573071 : Epoch  9, Batch    133, Loss  0.860668, Average Loss  0.868856, Time  0.265241
2021-09-16 15:30:33.729258 : Epoch  7, Batch    635, Loss  0.859366, Average Loss  0.869207, Time  0.238760
2021-09-16 15:30:36.301823 : Epoch  7, Batch    636, Loss  0.884401, Average Loss  0.869360, Time  0.239980
2021-09-16 15:30:36.633877 : Epoch  9, Batch    134, Loss  0.864850, Average Loss  0.868817, Time  0.263767
2021-09-16 15:30:38.878513 : Epoch  7, Batch    637, Loss  0.892833, Average Loss  0.869445, Time  0.238733
2021-09-16 15:30:39.677248 : Epoch  9, Batch    135, Loss  0.858438, Average Loss  0.868742, Time  0.265260
2021-09-16 15:30:41.461928 : Epoch  7, Batch    638, Loss  0.884241, Average Loss  0.869452, Time  0.238612
2021-09-16 15:30:42.733902 : Epoch  9, Batch    136, Loss  0.857423, Average Loss  0.868646, Time  0.264264
2021-09-16 15:30:44.058169 : Epoch  7, Batch    639, Loss  0.872502, Average Loss  0.869403, Time  0.238239
2021-09-16 15:30:45.799018 : Epoch  9, Batch    137, Loss  0.873886, Average Loss  0.868562, Time  0.264303
2021-09-16 15:30:46.638897 : Epoch  7, Batch    640, Loss  0.850572, Average Loss  0.869427, Time  0.238426
2021-09-16 15:30:48.851154 : Epoch  9, Batch    138, Loss  0.869134, Average Loss  0.868471, Time  0.263801
2021-09-16 15:30:49.223992 : Epoch  7, Batch    641, Loss  0.898476, Average Loss  0.869508, Time  0.238579
2021-09-16 15:30:51.787920 : Epoch  7, Batch    642, Loss  0.869523, Average Loss  0.869435, Time  0.238811
2021-09-16 15:30:51.903418 : Epoch  9, Batch    139, Loss  0.860939, Average Loss  0.868515, Time  0.264163
2021-09-16 15:30:54.361254 : Epoch  7, Batch    643, Loss  0.853298, Average Loss  0.869288, Time  0.238872
2021-09-16 15:30:54.936950 : Epoch  9, Batch    140, Loss  0.853112, Average Loss  0.868405, Time  0.264334
2021-09-16 15:30:56.940854 : Epoch  7, Batch    644, Loss  0.872464, Average Loss  0.869263, Time  0.238281
2021-09-16 15:30:58.009272 : Epoch  9, Batch    141, Loss  0.844612, Average Loss  0.868257, Time  0.276411
2021-09-16 15:30:59.520964 : Epoch  7, Batch    645, Loss  0.877127, Average Loss  0.869320, Time  0.238075
2021-09-16 15:31:01.067688 : Epoch  9, Batch    142, Loss  0.853713, Average Loss  0.868119, Time  0.265928
2021-09-16 15:31:02.101813 : Epoch  7, Batch    646, Loss  0.870215, Average Loss  0.869296, Time  0.238179
2021-09-16 15:31:04.125149 : Epoch  9, Batch    143, Loss  0.876331, Average Loss  0.868122, Time  0.263881
2021-09-16 15:31:04.684971 : Epoch  7, Batch    647, Loss  0.877283, Average Loss  0.869250, Time  0.238392
2021-09-16 15:31:07.185378 : Epoch  9, Batch    144, Loss  0.858957, Average Loss  0.868046, Time  0.263957
2021-09-16 15:31:07.268910 : Epoch  7, Batch    648, Loss  0.842300, Average Loss  0.869141, Time  0.238591
2021-09-16 15:31:09.839127 : Epoch  7, Batch    649, Loss  0.867761, Average Loss  0.869153, Time  0.237958
2021-09-16 15:31:10.243423 : Epoch  9, Batch    145, Loss  0.862356, Average Loss  0.868003, Time  0.264442
2021-09-16 15:31:12.409795 : Epoch  7, Batch    650, Loss  0.867347, Average Loss  0.869182, Time  0.238212
2021-09-16 15:31:13.299315 : Epoch  9, Batch    146, Loss  0.884388, Average Loss  0.868078, Time  0.265175
2021-09-16 15:31:14.994918 : Epoch  7, Batch    651, Loss  0.842713, Average Loss  0.869052, Time  0.238508
2021-09-16 15:31:16.349154 : Epoch  9, Batch    147, Loss  0.882005, Average Loss  0.868128, Time  0.263799
2021-09-16 15:31:17.572741 : Epoch  7, Batch    652, Loss  0.862970, Average Loss  0.869145, Time  0.238057
2021-09-16 15:31:19.396827 : Epoch  9, Batch    148, Loss  0.879642, Average Loss  0.868346, Time  0.264326
2021-09-16 15:31:20.151853 : Epoch  7, Batch    653, Loss  0.855101, Average Loss  0.869125, Time  0.238394
2021-09-16 15:31:22.441863 : Epoch  9, Batch    149, Loss  0.851895, Average Loss  0.868159, Time  0.264388
2021-09-16 15:31:22.729992 : Epoch  7, Batch    654, Loss  0.871532, Average Loss  0.869136, Time  0.238097
2021-09-16 15:31:25.291637 : Epoch  7, Batch    655, Loss  0.866054, Average Loss  0.869079, Time  0.238362
2021-09-16 15:31:25.501281 : Epoch  9, Batch    150, Loss  0.855318, Average Loss  0.868118, Time  0.264187
2021-09-16 15:31:27.883706 : Epoch  7, Batch    656, Loss  0.886337, Average Loss  0.869290, Time  0.238742
2021-09-16 15:31:28.538326 : Epoch  9, Batch    151, Loss  0.855699, Average Loss  0.868063, Time  0.265261
2021-09-16 15:31:30.466979 : Epoch  7, Batch    657, Loss  0.869954, Average Loss  0.869242, Time  0.239166
2021-09-16 15:31:33.039718 : Epoch  7, Batch    658, Loss  0.881927, Average Loss  0.869206, Time  0.238420
2021-09-16 15:31:35.620207 : Epoch  7, Batch    659, Loss  0.853951, Average Loss  0.869128, Time  0.238893
2021-09-16 15:31:37.192328 : Epoch  9, Batch    152, Loss  0.859400, Average Loss  0.868083, Time  0.265065
2021-09-16 15:31:38.192159 : Epoch  7, Batch    660, Loss  0.865183, Average Loss  0.869027, Time  0.240211
2021-09-16 15:31:40.767032 : Epoch  7, Batch    661, Loss  0.868583, Average Loss  0.869130, Time  0.238923
2021-09-16 15:31:43.348888 : Epoch  7, Batch    662, Loss  0.846077, Average Loss  0.868976, Time  0.239446
2021-09-16 15:31:45.937169 : Epoch  7, Batch    663, Loss  0.865815, Average Loss  0.869038, Time  0.238591
2021-09-16 15:31:48.506334 : Epoch  7, Batch    664, Loss  0.878197, Average Loss  0.869143, Time  0.238505
2021-09-16 15:35:50.120024 : CheckPoint: Validation Loss  0.00029840, Best Loss  0.00029207
2021-09-16 15:35:52.704844 : Epoch  7, Batch    665, Loss  0.852150, Average Loss  0.869058, Time  0.239800
2021-09-16 15:35:55.338887 : Epoch  7, Batch    666, Loss  0.857362, Average Loss  0.869060, Time  0.238687
2021-09-16 15:35:57.965032 : Epoch  7, Batch    667, Loss  0.875116, Average Loss  0.869122, Time  0.238105
2021-09-16 15:36:00.728205 : Epoch  7, Batch    668, Loss  0.864906, Average Loss  0.869169, Time  0.238559
2021-09-16 15:36:03.324892 : Epoch  7, Batch    669, Loss  0.875397, Average Loss  0.869135, Time  0.238174
2021-09-16 15:36:05.962238 : Epoch  7, Batch    670, Loss  0.899697, Average Loss  0.869240, Time  0.238625
2021-09-16 15:36:08.581897 : Epoch  7, Batch    671, Loss  0.840761, Average Loss  0.869141, Time  0.239587
2021-09-16 15:36:11.216018 : Epoch  7, Batch    672, Loss  0.875952, Average Loss  0.869242, Time  0.238547
2021-09-16 15:36:13.826110 : Epoch  7, Batch    673, Loss  0.872009, Average Loss  0.869317, Time  0.238853
2021-09-16 15:36:16.445011 : Epoch  7, Batch    674, Loss  0.895060, Average Loss  0.869473, Time  0.238990
2021-09-16 15:36:19.050894 : Epoch  7, Batch    675, Loss  0.899649, Average Loss  0.869592, Time  0.238406
2021-09-16 15:36:20.458114 : CheckPoint: Validation Loss  0.00030232, Best Loss  0.00029295
2021-09-16 15:36:21.675728 : Epoch  7, Batch    676, Loss  0.872636, Average Loss  0.869620, Time  0.238513
2021-09-16 15:36:23.533763 : Epoch  9, Batch    153, Loss  0.874170, Average Loss  0.868078, Time  0.263959
2021-09-16 15:36:24.308889 : Epoch  7, Batch    677, Loss  0.865343, Average Loss  0.869630, Time  0.238279
2021-09-16 15:36:26.596922 : Epoch  9, Batch    154, Loss  0.867600, Average Loss  0.868128, Time  0.264024
2021-09-16 15:36:26.942744 : Epoch  7, Batch    678, Loss  0.871716, Average Loss  0.869702, Time  0.261356
2021-09-16 15:36:29.532757 : Epoch  7, Batch    679, Loss  0.879059, Average Loss  0.869689, Time  0.238415
2021-09-16 15:36:29.663842 : Epoch  9, Batch    155, Loss  0.872319, Average Loss  0.868135, Time  0.264039
2021-09-16 15:36:32.147714 : Epoch  7, Batch    680, Loss  0.882592, Average Loss  0.869783, Time  0.238569
2021-09-16 15:36:32.720301 : Epoch  9, Batch    156, Loss  0.848901, Average Loss  0.867995, Time  0.264016
2021-09-16 15:36:34.756905 : Epoch  7, Batch    681, Loss  0.883593, Average Loss  0.869812, Time  0.238481
2021-09-16 15:36:35.799073 : Epoch  9, Batch    157, Loss  0.884305, Average Loss  0.868153, Time  0.264921
2021-09-16 15:36:37.416862 : Epoch  7, Batch    682, Loss  0.897167, Average Loss  0.869898, Time  0.266473
2021-09-16 15:36:38.858161 : Epoch  9, Batch    158, Loss  0.836035, Average Loss  0.868077, Time  0.264140
2021-09-16 15:36:40.039975 : Epoch  7, Batch    683, Loss  0.861033, Average Loss  0.869871, Time  0.239018
2021-09-16 15:36:41.916393 : Epoch  9, Batch    159, Loss  0.875598, Average Loss  0.868084, Time  0.264260
2021-09-16 15:36:42.642929 : Epoch  7, Batch    684, Loss  0.863285, Average Loss  0.869818, Time  0.238288
2021-09-16 15:36:44.985858 : Epoch  9, Batch    160, Loss  0.849198, Average Loss  0.867998, Time  0.264311
2021-09-16 15:36:45.266898 : Epoch  7, Batch    685, Loss  0.859045, Average Loss  0.869675, Time  0.238168
2021-09-16 15:36:47.849967 : Epoch  7, Batch    686, Loss  0.883182, Average Loss  0.869887, Time  0.239483
2021-09-16 15:36:48.048233 : Epoch  9, Batch    161, Loss  0.878591, Average Loss  0.868012, Time  0.263913
2021-09-16 15:36:50.468711 : Epoch  7, Batch    687, Loss  0.863251, Average Loss  0.869889, Time  0.238802
2021-09-16 15:36:51.103788 : Epoch  9, Batch    162, Loss  0.865058, Average Loss  0.868022, Time  0.264092
2021-09-16 15:36:53.096169 : Epoch  7, Batch    688, Loss  0.869330, Average Loss  0.869979, Time  0.238527
2021-09-16 15:36:54.163672 : Epoch  9, Batch    163, Loss  0.872283, Average Loss  0.868091, Time  0.264926
2021-09-16 15:36:55.708700 : Epoch  7, Batch    689, Loss  0.849501, Average Loss  0.869882, Time  0.238629
2021-09-16 15:36:57.225981 : Epoch  9, Batch    164, Loss  0.878867, Average Loss  0.868206, Time  0.263722
2021-09-16 15:36:58.316277 : Epoch  7, Batch    690, Loss  0.852896, Average Loss  0.869789, Time  0.238525
2021-09-16 15:37:00.290865 : Epoch  9, Batch    165, Loss  0.879595, Average Loss  0.868177, Time  0.263803
2021-09-16 15:37:00.937760 : Epoch  7, Batch    691, Loss  0.855885, Average Loss  0.869669, Time  0.238110
2021-09-16 15:37:03.360952 : Epoch  9, Batch    166, Loss  0.866315, Average Loss  0.868179, Time  0.275095
2021-09-16 15:37:03.541779 : Epoch  7, Batch    692, Loss  0.867346, Average Loss  0.869603, Time  0.238359
2021-09-16 15:37:06.148153 : Epoch  7, Batch    693, Loss  0.879704, Average Loss  0.869749, Time  0.238309
2021-09-16 15:37:06.424417 : Epoch  9, Batch    167, Loss  0.879862, Average Loss  0.868348, Time  0.264316
2021-09-16 15:37:08.786882 : Epoch  7, Batch    694, Loss  0.850800, Average Loss  0.869684, Time  0.239286
2021-09-16 15:37:09.466657 : Epoch  9, Batch    168, Loss  0.865136, Average Loss  0.868284, Time  0.264327
2021-09-16 15:37:11.432970 : Epoch  7, Batch    695, Loss  0.871457, Average Loss  0.869689, Time  0.238637
2021-09-16 15:37:12.531377 : Epoch  9, Batch    169, Loss  0.884369, Average Loss  0.868432, Time  0.264462
2021-09-16 15:37:14.085751 : Epoch  7, Batch    696, Loss  0.876410, Average Loss  0.869556, Time  0.239450
2021-09-16 15:37:15.592984 : Epoch  9, Batch    170, Loss  0.862221, Average Loss  0.868413, Time  0.264055
2021-09-16 15:37:16.690199 : Epoch  7, Batch    697, Loss  0.871218, Average Loss  0.869544, Time  0.239137
2021-09-16 15:37:18.679037 : Epoch  9, Batch    171, Loss  0.857010, Average Loss  0.868345, Time  0.263839
2021-09-16 15:37:19.308029 : Epoch  7, Batch    698, Loss  0.885871, Average Loss  0.869642, Time  0.238630
2021-09-16 15:37:21.751193 : Epoch  9, Batch    172, Loss  0.873963, Average Loss  0.868203, Time  0.263816
2021-09-16 15:37:21.918020 : Epoch  7, Batch    699, Loss  0.856304, Average Loss  0.869583, Time  0.238688
2021-09-16 15:37:24.530256 : Epoch  7, Batch    700, Loss  0.854965, Average Loss  0.869616, Time  0.239182
2021-09-16 15:37:24.813966 : Epoch  9, Batch    173, Loss  0.863154, Average Loss  0.868142, Time  0.264111
2021-09-16 15:37:27.133747 : Epoch  7, Batch    701, Loss  0.880359, Average Loss  0.869595, Time  0.238737
2021-09-16 15:37:27.856694 : Epoch  9, Batch    174, Loss  0.857252, Average Loss  0.868091, Time  0.264375
2021-09-16 15:37:29.760938 : Epoch  7, Batch    702, Loss  0.864842, Average Loss  0.869582, Time  0.238238
2021-09-16 15:37:30.916839 : Epoch  9, Batch    175, Loss  0.863940, Average Loss  0.868207, Time  0.264482
2021-09-16 15:37:32.362126 : Epoch  7, Batch    703, Loss  0.872505, Average Loss  0.869559, Time  0.238706
2021-09-16 15:37:33.996635 : Epoch  9, Batch    176, Loss  0.850628, Average Loss  0.868168, Time  0.263965
2021-09-16 15:37:35.003903 : Epoch  7, Batch    704, Loss  0.873194, Average Loss  0.869554, Time  0.238469
2021-09-16 15:37:37.064615 : Epoch  9, Batch    177, Loss  0.882692, Average Loss  0.868147, Time  0.264164
2021-09-16 15:37:37.611793 : Epoch  7, Batch    705, Loss  0.844812, Average Loss  0.869483, Time  0.238344
2021-09-16 15:37:40.136760 : Epoch  9, Batch    178, Loss  0.850685, Average Loss  0.868112, Time  0.264189
2021-09-16 15:37:40.215253 : Epoch  7, Batch    706, Loss  0.846140, Average Loss  0.869360, Time  0.238311
2021-09-16 15:37:42.824791 : Epoch  7, Batch    707, Loss  0.880662, Average Loss  0.869380, Time  0.238845
2021-09-16 15:37:43.203198 : Epoch  9, Batch    179, Loss  0.868676, Average Loss  0.868035, Time  0.264488
2021-09-16 15:37:45.418551 : Epoch  7, Batch    708, Loss  0.859984, Average Loss  0.869272, Time  0.238262
2021-09-16 15:37:46.270435 : Epoch  9, Batch    180, Loss  0.891124, Average Loss  0.868164, Time  0.264287
2021-09-16 15:37:48.014716 : Epoch  7, Batch    709, Loss  0.881763, Average Loss  0.869370, Time  0.238997
2021-09-16 15:37:49.350141 : Epoch  9, Batch    181, Loss  0.876849, Average Loss  0.868239, Time  0.273708
2021-09-16 15:37:50.631964 : Epoch  7, Batch    710, Loss  0.865835, Average Loss  0.869298, Time  0.238698
2021-09-16 15:37:52.427357 : Epoch  9, Batch    182, Loss  0.863370, Average Loss  0.868249, Time  0.264771
2021-09-16 15:37:53.247226 : Epoch  7, Batch    711, Loss  0.859651, Average Loss  0.869309, Time  0.238492
2021-09-16 15:37:55.498520 : Epoch  9, Batch    183, Loss  0.875146, Average Loss  0.868338, Time  0.264369
2021-09-16 15:37:55.848909 : Epoch  7, Batch    712, Loss  0.877559, Average Loss  0.869439, Time  0.238688
2021-09-16 15:37:58.456971 : Epoch  7, Batch    713, Loss  0.880696, Average Loss  0.869497, Time  0.238703
2021-09-16 15:37:58.558024 : Epoch  9, Batch    184, Loss  0.851361, Average Loss  0.868187, Time  0.263761
2021-09-16 15:38:01.081715 : Epoch  7, Batch    714, Loss  0.875881, Average Loss  0.869562, Time  0.238187
2021-09-16 15:38:01.613089 : Epoch  9, Batch    185, Loss  0.874099, Average Loss  0.868122, Time  0.265791
2021-09-16 15:38:03.686979 : Epoch  7, Batch    715, Loss  0.869023, Average Loss  0.869573, Time  0.238211
2021-09-16 15:38:04.664905 : Epoch  9, Batch    186, Loss  0.873775, Average Loss  0.868062, Time  0.263865
2021-09-16 15:38:06.301790 : Epoch  7, Batch    716, Loss  0.865547, Average Loss  0.869607, Time  0.238398
2021-09-16 15:38:07.724020 : Epoch  9, Batch    187, Loss  0.863813, Average Loss  0.867965, Time  0.263788
2021-09-16 15:38:08.933687 : Epoch  7, Batch    717, Loss  0.876282, Average Loss  0.869612, Time  0.239278
2021-09-16 15:38:10.784732 : Epoch  9, Batch    188, Loss  0.875847, Average Loss  0.867958, Time  0.263731
2021-09-16 15:38:11.573013 : Epoch  7, Batch    718, Loss  0.865639, Average Loss  0.869498, Time  0.238922
2021-09-16 15:38:13.850035 : Epoch  9, Batch    189, Loss  0.859716, Average Loss  0.867843, Time  0.264199
2021-09-16 15:38:14.204868 : Epoch  7, Batch    719, Loss  0.863842, Average Loss  0.869486, Time  0.238194
2021-09-16 15:38:16.834839 : Epoch  7, Batch    720, Loss  0.848773, Average Loss  0.869416, Time  0.240839
2021-09-16 15:38:16.935351 : Epoch  9, Batch    190, Loss  0.871603, Average Loss  0.867808, Time  0.264108
2021-09-16 15:38:19.436042 : Epoch  7, Batch    721, Loss  0.878487, Average Loss  0.869396, Time  0.238392
2021-09-16 15:38:19.986483 : Epoch  9, Batch    191, Loss  0.860141, Average Loss  0.867857, Time  0.263790
2021-09-16 15:38:22.038757 : Epoch  7, Batch    722, Loss  0.871807, Average Loss  0.869336, Time  0.238265
2021-09-16 15:38:23.061831 : Epoch  9, Batch    192, Loss  0.865596, Average Loss  0.867777, Time  0.264194
2021-09-16 15:38:24.645983 : Epoch  7, Batch    723, Loss  0.859535, Average Loss  0.869282, Time  0.238703
2021-09-16 15:38:26.122064 : Epoch  9, Batch    193, Loss  0.887830, Average Loss  0.867782, Time  0.264101
2021-09-16 15:38:27.249683 : Epoch  7, Batch    724, Loss  0.868502, Average Loss  0.869198, Time  0.238558
2021-09-16 15:38:29.180064 : Epoch  9, Batch    194, Loss  0.852520, Average Loss  0.867697, Time  0.263855
2021-09-16 15:38:29.849123 : Epoch  7, Batch    725, Loss  0.858299, Average Loss  0.869119, Time  0.238944
2021-09-16 15:38:32.239901 : Epoch  9, Batch    195, Loss  0.848280, Average Loss  0.867533, Time  0.263789
2021-09-16 15:38:32.457732 : Epoch  7, Batch    726, Loss  0.869891, Average Loss  0.869026, Time  0.238251
2021-09-16 15:38:35.048947 : Epoch  7, Batch    727, Loss  0.867281, Average Loss  0.868977, Time  0.238869
2021-09-16 15:38:35.323674 : Epoch  9, Batch    196, Loss  0.867279, Average Loss  0.867491, Time  0.272943
2021-09-16 15:38:37.667970 : Epoch  7, Batch    728, Loss  0.853616, Average Loss  0.868998, Time  0.238237
2021-09-16 15:38:38.377289 : Epoch  9, Batch    197, Loss  0.865350, Average Loss  0.867497, Time  0.264088
2021-09-16 15:38:40.278812 : Epoch  7, Batch    729, Loss  0.848528, Average Loss  0.868831, Time  0.238277
2021-09-16 15:38:41.455424 : Epoch  9, Batch    198, Loss  0.864306, Average Loss  0.867370, Time  0.264476
2021-09-16 15:38:42.877900 : Epoch  7, Batch    730, Loss  0.883059, Average Loss  0.868844, Time  0.238407
2021-09-16 15:38:44.521516 : Epoch  9, Batch    199, Loss  0.865784, Average Loss  0.867380, Time  0.264158
2021-09-16 15:38:45.505876 : Epoch  7, Batch    731, Loss  0.852900, Average Loss  0.868699, Time  0.238269
2021-09-16 15:38:47.580465 : Epoch  9, Batch    200, Loss  0.862840, Average Loss  0.867377, Time  0.264195
2021-09-16 15:38:48.117137 : Epoch  7, Batch    732, Loss  0.860822, Average Loss  0.868565, Time  0.238776
2021-09-16 15:38:50.642053 : Epoch  9, Batch    201, Loss  0.857416, Average Loss  0.867411, Time  0.263825
2021-09-16 15:38:50.751754 : Epoch  7, Batch    733, Loss  0.869703, Average Loss  0.868657, Time  0.238299
2021-09-16 15:38:53.335986 : Epoch  7, Batch    734, Loss  0.873493, Average Loss  0.868689, Time  0.239794
2021-09-16 15:38:53.705663 : Epoch  9, Batch    202, Loss  0.882521, Average Loss  0.867388, Time  0.264398
2021-09-16 15:38:55.949227 : Epoch  7, Batch    735, Loss  0.858823, Average Loss  0.868646, Time  0.238582
2021-09-16 15:38:56.767137 : Epoch  9, Batch    203, Loss  0.842495, Average Loss  0.867253, Time  0.264503
2021-09-16 15:38:58.562469 : Epoch  7, Batch    736, Loss  0.869923, Average Loss  0.868814, Time  0.238596
2021-09-16 15:38:59.832754 : Epoch  9, Batch    204, Loss  0.886212, Average Loss  0.867236, Time  0.263724
2021-09-16 15:39:01.167046 : Epoch  7, Batch    737, Loss  0.882678, Average Loss  0.868795, Time  0.238321
2021-09-16 15:39:02.908096 : Epoch  9, Batch    205, Loss  0.856718, Average Loss  0.867216, Time  0.263878
2021-09-16 15:39:03.788973 : Epoch  7, Batch    738, Loss  0.871742, Average Loss  0.868832, Time  0.238621
2021-09-16 15:39:05.979056 : Epoch  9, Batch    206, Loss  0.872976, Average Loss  0.867255, Time  0.264337
2021-09-16 15:39:06.421072 : Epoch  7, Batch    739, Loss  0.854919, Average Loss  0.868855, Time  0.238038
2021-09-16 15:39:09.042364 : Epoch  9, Batch    207, Loss  0.898691, Average Loss  0.867519, Time  0.263988
2021-09-16 15:39:09.060860 : Epoch  7, Batch    740, Loss  0.864911, Average Loss  0.868900, Time  0.238138
2021-09-16 15:39:11.672425 : Epoch  7, Batch    741, Loss  0.851736, Average Loss  0.868784, Time  0.239445
2021-09-16 15:39:12.109153 : Epoch  9, Batch    208, Loss  0.861656, Average Loss  0.867496, Time  0.264162
2021-09-16 15:39:14.284102 : Epoch  7, Batch    742, Loss  0.859586, Average Loss  0.868796, Time  0.238474
2021-09-16 15:39:15.163533 : Epoch  9, Batch    209, Loss  0.871253, Average Loss  0.867373, Time  0.264098
2021-09-16 15:39:16.914685 : Epoch  7, Batch    743, Loss  0.854578, Average Loss  0.868622, Time  0.242033
2021-09-16 15:39:18.236973 : Epoch  9, Batch    210, Loss  0.881738, Average Loss  0.867383, Time  0.264021
2021-09-16 15:39:19.537029 : Epoch  7, Batch    744, Loss  0.869764, Average Loss  0.868596, Time  0.238857
2021-09-16 15:39:21.307127 : Epoch  9, Batch    211, Loss  0.882245, Average Loss  0.867447, Time  0.271935
2021-09-16 15:39:22.160903 : Epoch  7, Batch    745, Loss  0.870102, Average Loss  0.868722, Time  0.238540
2021-09-16 15:39:24.390166 : Epoch  9, Batch    212, Loss  0.855163, Average Loss  0.867506, Time  0.264354
2021-09-16 15:39:24.764071 : Epoch  7, Batch    746, Loss  0.874793, Average Loss  0.868744, Time  0.238977
2021-09-16 15:39:27.389999 : Epoch  7, Batch    747, Loss  0.853318, Average Loss  0.868665, Time  0.238302
2021-09-16 15:39:27.454510 : Epoch  9, Batch    213, Loss  0.869663, Average Loss  0.867493, Time  0.264124
2021-09-16 15:39:30.010988 : Epoch  7, Batch    748, Loss  0.883917, Average Loss  0.868791, Time  0.238456
2021-09-16 15:39:30.517477 : Epoch  9, Batch    214, Loss  0.876466, Average Loss  0.867563, Time  0.264534
2021-09-16 15:39:32.611107 : Epoch  7, Batch    749, Loss  0.872539, Average Loss  0.868855, Time  0.238265
2021-09-16 15:39:33.572813 : Epoch  9, Batch    215, Loss  0.857900, Average Loss  0.867506, Time  0.264176
2021-09-16 15:39:35.236771 : Epoch  7, Batch    750, Loss  0.872870, Average Loss  0.868886, Time  0.238165
2021-09-16 15:39:36.627555 : Epoch  9, Batch    216, Loss  0.881113, Average Loss  0.867544, Time  0.263828
2021-09-16 15:39:37.846800 : Epoch  7, Batch    751, Loss  0.857255, Average Loss  0.868953, Time  0.238815
2021-09-16 15:39:39.691296 : Epoch  9, Batch    217, Loss  0.867195, Average Loss  0.867536, Time  0.263936
2021-09-16 15:39:40.444044 : Epoch  7, Batch    752, Loss  0.861147, Average Loss  0.868991, Time  0.238269
2021-09-16 15:39:42.754989 : Epoch  9, Batch    218, Loss  0.871660, Average Loss  0.867568, Time  0.264234
2021-09-16 15:39:43.074024 : Epoch  7, Batch    753, Loss  0.857337, Average Loss  0.868829, Time  0.238479
2021-09-16 15:39:45.689768 : Epoch  7, Batch    754, Loss  0.875751, Average Loss  0.868843, Time  0.238860
2021-09-16 15:39:45.828760 : Epoch  9, Batch    219, Loss  0.883150, Average Loss  0.867663, Time  0.264188
2021-09-16 15:39:48.314041 : Epoch  7, Batch    755, Loss  0.867190, Average Loss  0.868827, Time  0.238238
2021-09-16 15:39:48.889488 : Epoch  9, Batch    220, Loss  0.857528, Average Loss  0.867589, Time  0.264244
2021-09-16 15:39:50.917900 : Epoch  7, Batch    756, Loss  0.886013, Average Loss  0.868853, Time  0.238205
2021-09-16 15:39:51.956606 : Epoch  9, Batch    221, Loss  0.867801, Average Loss  0.867635, Time  0.264650
2021-09-16 15:39:53.509710 : Epoch  7, Batch    757, Loss  0.872092, Average Loss  0.868849, Time  0.238015
2021-09-16 15:39:55.021097 : Epoch  9, Batch    222, Loss  0.897520, Average Loss  0.867734, Time  0.263937
2021-09-16 15:39:56.110961 : Epoch  7, Batch    758, Loss  0.858436, Average Loss  0.868897, Time  0.238594
2021-09-16 15:39:58.085697 : Epoch  9, Batch    223, Loss  0.851681, Average Loss  0.867705, Time  0.264238
2021-09-16 15:39:58.745061 : Epoch  7, Batch    759, Loss  0.863194, Average Loss  0.868814, Time  0.238570
2021-09-16 15:40:01.150202 : Epoch  9, Batch    224, Loss  0.874094, Average Loss  0.867768, Time  0.264282
2021-09-16 15:40:01.384743 : Epoch  7, Batch    760, Loss  0.871370, Average Loss  0.868828, Time  0.239152
2021-09-16 15:40:03.999096 : Epoch  7, Batch    761, Loss  0.870552, Average Loss  0.868810, Time  0.238424
2021-09-16 15:40:04.232833 : Epoch  9, Batch    225, Loss  0.866398, Average Loss  0.867813, Time  0.264026
2021-09-16 15:40:06.636953 : Epoch  7, Batch    762, Loss  0.856211, Average Loss  0.868753, Time  0.238538
2021-09-16 15:40:07.316785 : Epoch  9, Batch    226, Loss  0.870200, Average Loss  0.867865, Time  0.278803
2021-09-16 15:40:09.257202 : Epoch  7, Batch    763, Loss  0.891104, Average Loss  0.868907, Time  0.238383
2021-09-16 15:40:10.385443 : Epoch  9, Batch    227, Loss  0.858947, Average Loss  0.867779, Time  0.265125
2021-09-16 15:40:11.870951 : Epoch  7, Batch    764, Loss  0.869447, Average Loss  0.868797, Time  0.239370
2021-09-16 15:40:13.450427 : Epoch  9, Batch    228, Loss  0.869044, Average Loss  0.867749, Time  0.264631
2021-09-16 15:40:16.509405 : Epoch  9, Batch    229, Loss  0.884195, Average Loss  0.867787, Time  0.264405
2021-09-16 15:40:19.576315 : Epoch  9, Batch    230, Loss  0.863814, Average Loss  0.867769, Time  0.264317
2021-09-16 15:40:22.639812 : Epoch  9, Batch    231, Loss  0.879617, Average Loss  0.867887, Time  0.264284
2021-09-16 15:40:25.712876 : Epoch  9, Batch    232, Loss  0.886385, Average Loss  0.868045, Time  0.264024
2021-09-16 15:40:28.884457 : Epoch  9, Batch    233, Loss  0.897469, Average Loss  0.868214, Time  0.263847
2021-09-16 15:40:31.954895 : Epoch  9, Batch    234, Loss  0.860897, Average Loss  0.868145, Time  0.263665
2021-09-16 15:40:35.042102 : Epoch  9, Batch    235, Loss  0.849050, Average Loss  0.868045, Time  0.264012
2021-09-16 15:40:38.095592 : Epoch  9, Batch    236, Loss  0.915050, Average Loss  0.868237, Time  0.263941
2021-09-16 15:40:41.159158 : Epoch  9, Batch    237, Loss  0.862429, Average Loss  0.868201, Time  0.264480
2021-09-16 15:40:44.222481 : Epoch  9, Batch    238, Loss  0.866295, Average Loss  0.868275, Time  0.264143
2021-09-16 15:40:47.285454 : Epoch  9, Batch    239, Loss  0.874092, Average Loss  0.868289, Time  0.264005
2021-09-16 15:40:50.359191 : Epoch  9, Batch    240, Loss  0.866556, Average Loss  0.868161, Time  0.263693
2021-09-16 15:40:53.432016 : Epoch  9, Batch    241, Loss  0.865548, Average Loss  0.868092, Time  0.278284
2021-09-16 15:40:56.491500 : Epoch  9, Batch    242, Loss  0.853658, Average Loss  0.867956, Time  0.264746
2021-09-16 15:40:59.564822 : Epoch  9, Batch    243, Loss  0.870093, Average Loss  0.867983, Time  0.264217
2021-09-16 15:41:02.622989 : Epoch  9, Batch    244, Loss  0.861883, Average Loss  0.868062, Time  0.264039
2021-09-16 15:41:05.698186 : Epoch  9, Batch    245, Loss  0.858191, Average Loss  0.868092, Time  0.264322
2021-09-16 15:41:08.761460 : Epoch  9, Batch    246, Loss  0.866756, Average Loss  0.868061, Time  0.264524
2021-09-16 15:41:11.816414 : Epoch  9, Batch    247, Loss  0.883786, Average Loss  0.868051, Time  0.264075
2021-09-16 15:41:14.884527 : Epoch  9, Batch    248, Loss  0.879342, Average Loss  0.867991, Time  0.264344
2021-09-16 15:41:17.952405 : Epoch  9, Batch    249, Loss  0.890991, Average Loss  0.868092, Time  0.264244
2021-09-16 15:41:21.014390 : Epoch  9, Batch    250, Loss  0.847148, Average Loss  0.868052, Time  0.263871
2021-09-16 15:41:24.084149 : Epoch  9, Batch    251, Loss  0.878257, Average Loss  0.868146, Time  0.264050
2021-09-16 15:41:27.172473 : Epoch  9, Batch    252, Loss  0.873365, Average Loss  0.868206, Time  0.263638
2021-09-16 15:44:13.612692 : CheckPoint: Validation Loss  0.00029958, Best Loss  0.00029207
2021-09-16 15:44:16.206685 : Epoch  7, Batch    765, Loss  0.867213, Average Loss  0.868759, Time  0.239500
2021-09-16 15:44:18.815953 : Epoch  7, Batch    766, Loss  0.880633, Average Loss  0.868876, Time  0.238827
2021-09-16 15:44:21.437885 : Epoch  7, Batch    767, Loss  0.882704, Average Loss  0.868973, Time  0.238597
2021-09-16 15:44:24.067987 : Epoch  7, Batch    768, Loss  0.852129, Average Loss  0.868874, Time  0.238402
2021-09-16 15:44:26.678070 : Epoch  7, Batch    769, Loss  0.846764, Average Loss  0.868762, Time  0.238098
2021-09-16 15:44:29.283209 : Epoch  7, Batch    770, Loss  0.881008, Average Loss  0.868805, Time  0.238446
2021-09-16 15:44:31.901982 : Epoch  7, Batch    771, Loss  0.858517, Average Loss  0.868759, Time  0.238679
2021-09-16 15:44:34.502013 : Epoch  7, Batch    772, Loss  0.881604, Average Loss  0.868819, Time  0.238632
2021-09-16 15:44:37.114718 : Epoch  7, Batch    773, Loss  0.866106, Average Loss  0.868857, Time  0.240209
2021-09-16 15:44:39.735247 : Epoch  7, Batch    774, Loss  0.874398, Average Loss  0.868894, Time  0.238910
2021-09-16 15:44:42.338771 : Epoch  7, Batch    775, Loss  0.879234, Average Loss  0.869021, Time  0.238518
2021-09-16 15:44:44.946151 : Epoch  7, Batch    776, Loss  0.873213, Average Loss  0.869008, Time  0.238488
2021-09-16 15:44:47.661768 : Epoch  7, Batch    777, Loss  0.871983, Average Loss  0.869000, Time  0.238216
2021-09-16 15:44:50.272011 : Epoch  7, Batch    778, Loss  0.882091, Average Loss  0.869004, Time  0.239647
2021-09-16 15:44:52.889686 : Epoch  7, Batch    779, Loss  0.871246, Average Loss  0.869003, Time  0.238165
2021-09-16 15:44:55.494998 : Epoch  7, Batch    780, Loss  0.862740, Average Loss  0.868944, Time  0.239370
2021-09-16 15:44:58.105697 : Epoch  7, Batch    781, Loss  0.861951, Average Loss  0.869008, Time  0.238861
2021-09-16 15:45:00.710679 : Epoch  7, Batch    782, Loss  0.861422, Average Loss  0.868937, Time  0.238629
2021-09-16 15:45:03.332076 : Epoch  7, Batch    783, Loss  0.868152, Average Loss  0.868950, Time  0.238719
2021-09-16 15:45:05.938192 : Epoch  7, Batch    784, Loss  0.862462, Average Loss  0.868958, Time  0.238398
2021-09-16 15:45:08.544937 : Epoch  7, Batch    785, Loss  0.868480, Average Loss  0.869020, Time  0.238238
2021-09-16 15:45:11.166766 : Epoch  7, Batch    786, Loss  0.889891, Average Loss  0.869144, Time  0.238233
2021-09-16 15:45:13.803730 : Epoch  7, Batch    787, Loss  0.885260, Average Loss  0.869144, Time  0.238762
2021-09-16 15:45:16.432909 : Epoch  7, Batch    788, Loss  0.864674, Average Loss  0.869169, Time  0.238455
2021-09-16 15:45:19.035699 : Epoch  7, Batch    789, Loss  0.864209, Average Loss  0.869085, Time  0.238235
2021-09-16 15:45:21.639968 : Epoch  7, Batch    790, Loss  0.868290, Average Loss  0.869037, Time  0.238621
2021-09-16 15:45:24.256072 : Epoch  7, Batch    791, Loss  0.888126, Average Loss  0.869127, Time  0.238411
2021-09-16 15:45:26.880944 : Epoch  7, Batch    792, Loss  0.870155, Average Loss  0.869181, Time  0.238535
2021-09-16 15:45:29.481098 : Epoch  7, Batch    793, Loss  0.862798, Average Loss  0.869113, Time  0.238188
2021-09-16 15:45:32.090040 : Epoch  7, Batch    794, Loss  0.854963, Average Loss  0.868977, Time  0.238056
2021-09-16 15:45:34.701973 : Epoch  7, Batch    795, Loss  0.882587, Average Loss  0.869025, Time  0.238168
2021-09-16 15:45:37.301784 : Epoch  7, Batch    796, Loss  0.870431, Average Loss  0.868926, Time  0.238360
2021-09-16 15:45:39.932967 : Epoch  7, Batch    797, Loss  0.856085, Average Loss  0.868898, Time  0.238723
2021-09-16 15:45:42.562089 : Epoch  7, Batch    798, Loss  0.877647, Average Loss  0.869020, Time  0.238433
2021-09-16 15:45:45.164931 : Epoch  7, Batch    799, Loss  0.867421, Average Loss  0.868997, Time  0.238518
2021-09-16 15:45:47.783955 : Epoch  7, Batch    800, Loss  0.881662, Average Loss  0.869189, Time  0.237942
2021-09-16 15:45:50.440080 : Epoch  7, Batch    801, Loss  0.879227, Average Loss  0.869296, Time  0.239473
2021-09-16 15:45:53.064698 : Epoch  7, Batch    802, Loss  0.872932, Average Loss  0.869340, Time  0.238329
2021-09-16 15:45:55.676052 : Epoch  7, Batch    803, Loss  0.874928, Average Loss  0.869438, Time  0.238905
2021-09-16 15:45:58.325241 : Epoch  7, Batch    804, Loss  0.873576, Average Loss  0.869412, Time  0.257928
2021-09-16 15:46:00.931275 : Epoch  7, Batch    805, Loss  0.859362, Average Loss  0.869284, Time  0.238540
2021-09-16 15:46:03.563971 : Epoch  7, Batch    806, Loss  0.858725, Average Loss  0.869210, Time  0.238630
2021-09-16 15:46:06.168021 : Epoch  7, Batch    807, Loss  0.871403, Average Loss  0.869143, Time  0.238941
2021-09-16 15:46:08.826142 : Epoch  7, Batch    808, Loss  0.871305, Average Loss  0.869153, Time  0.239089
2021-09-16 15:46:10.137664 : CheckPoint: Validation Loss  0.00030632, Best Loss  0.00029295
2021-09-16 15:46:11.436696 : Epoch  7, Batch    809, Loss  0.842103, Average Loss  0.868979, Time  0.238809
2021-09-16 15:46:13.210865 : Epoch  9, Batch    253, Loss  0.855379, Average Loss  0.868128, Time  0.274349
2021-09-16 15:46:14.041066 : Epoch  7, Batch    810, Loss  0.856851, Average Loss  0.868900, Time  0.238460
2021-09-16 15:46:16.259747 : Epoch  9, Batch    254, Loss  0.839985, Average Loss  0.867951, Time  0.264257
2021-09-16 15:46:16.641232 : Epoch  7, Batch    811, Loss  0.871139, Average Loss  0.868959, Time  0.238136
2021-09-16 15:46:19.292715 : Epoch  7, Batch    812, Loss  0.860957, Average Loss  0.868929, Time  0.238348
2021-09-16 15:46:19.307564 : Epoch  9, Batch    255, Loss  0.889173, Average Loss  0.868055, Time  0.263704
2021-09-16 15:46:21.904149 : Epoch  7, Batch    813, Loss  0.865242, Average Loss  0.868841, Time  0.238179
2021-09-16 15:46:22.384632 : Epoch  9, Batch    256, Loss  0.878279, Average Loss  0.868166, Time  0.264209
2021-09-16 15:46:24.521052 : Epoch  7, Batch    814, Loss  0.868225, Average Loss  0.868827, Time  0.238417
2021-09-16 15:46:25.426373 : Epoch  9, Batch    257, Loss  0.896808, Average Loss  0.868385, Time  0.264667
2021-09-16 15:46:27.151993 : Epoch  7, Batch    815, Loss  0.873939, Average Loss  0.868879, Time  0.250173
2021-09-16 15:46:28.461850 : Epoch  9, Batch    258, Loss  0.890265, Average Loss  0.868430, Time  0.264249
2021-09-16 15:46:29.759138 : Epoch  7, Batch    816, Loss  0.862247, Average Loss  0.868894, Time  0.239185
2021-09-16 15:46:31.509939 : Epoch  9, Batch    259, Loss  0.859113, Average Loss  0.868322, Time  0.263799
2021-09-16 15:46:32.366945 : Epoch  7, Batch    817, Loss  0.876269, Average Loss  0.868902, Time  0.238619
2021-09-16 15:46:34.544058 : Epoch  9, Batch    260, Loss  0.892067, Average Loss  0.868431, Time  0.264201
2021-09-16 15:46:34.994151 : Epoch  7, Batch    818, Loss  0.866010, Average Loss  0.868894, Time  0.238120
2021-09-16 15:46:37.584006 : Epoch  9, Batch    261, Loss  0.880556, Average Loss  0.868434, Time  0.264027
2021-09-16 15:46:37.623872 : Epoch  7, Batch    819, Loss  0.866245, Average Loss  0.868991, Time  0.238478
2021-09-16 15:46:40.225219 : Epoch  7, Batch    820, Loss  0.876025, Average Loss  0.868998, Time  0.238161
2021-09-16 15:46:40.613501 : Epoch  9, Batch    262, Loss  0.874581, Average Loss  0.868510, Time  0.264476
2021-09-16 15:46:42.849964 : Epoch  7, Batch    821, Loss  0.865231, Average Loss  0.868950, Time  0.241452
2021-09-16 15:46:43.630367 : Epoch  9, Batch    263, Loss  0.874270, Average Loss  0.868506, Time  0.263841
2021-09-16 15:46:45.469978 : Epoch  7, Batch    822, Loss  0.872359, Average Loss  0.868767, Time  0.238449
2021-09-16 15:46:46.670254 : Epoch  9, Batch    264, Loss  0.895665, Average Loss  0.868574, Time  0.264626
2021-09-16 15:46:48.073333 : Epoch  7, Batch    823, Loss  0.894081, Average Loss  0.868786, Time  0.239083
2021-09-16 15:46:49.706919 : Epoch  9, Batch    265, Loss  0.888823, Average Loss  0.868735, Time  0.264363
2021-09-16 15:46:50.679699 : Epoch  7, Batch    824, Loss  0.881001, Average Loss  0.868880, Time  0.238981
2021-09-16 15:46:52.736660 : Epoch  9, Batch    266, Loss  0.860308, Average Loss  0.868765, Time  0.264456
2021-09-16 15:46:53.295002 : Epoch  7, Batch    825, Loss  0.866300, Average Loss  0.868768, Time  0.239190
2021-09-16 15:46:55.778393 : Epoch  9, Batch    267, Loss  0.878162, Average Loss  0.868738, Time  0.276823
2021-09-16 15:46:55.912960 : Epoch  7, Batch    826, Loss  0.878808, Average Loss  0.868897, Time  0.238684
2021-09-16 15:46:58.513687 : Epoch  7, Batch    827, Loss  0.843821, Average Loss  0.868829, Time  0.239306
2021-09-16 15:46:58.815930 : Epoch  9, Batch    268, Loss  0.882154, Average Loss  0.869015, Time  0.265070
2021-09-16 15:47:01.117968 : Epoch  7, Batch    828, Loss  0.859939, Average Loss  0.868810, Time  0.238686
2021-09-16 15:47:01.840866 : Epoch  9, Batch    269, Loss  0.869224, Average Loss  0.868930, Time  0.264247
2021-09-16 15:47:03.749903 : Epoch  7, Batch    829, Loss  0.890954, Average Loss  0.868906, Time  0.238305
2021-09-16 15:47:04.874434 : Epoch  9, Batch    270, Loss  0.879409, Average Loss  0.868967, Time  0.263955
2021-09-16 15:47:06.352357 : Epoch  7, Batch    830, Loss  0.845554, Average Loss  0.868832, Time  0.239037
2021-09-16 15:47:07.921084 : Epoch  9, Batch    271, Loss  0.883639, Average Loss  0.869037, Time  0.264326
2021-09-16 15:47:08.978895 : Epoch  7, Batch    831, Loss  0.838909, Average Loss  0.868590, Time  0.238258
2021-09-16 15:47:10.952858 : Epoch  9, Batch    272, Loss  0.874639, Average Loss  0.869046, Time  0.264113
2021-09-16 15:47:11.603747 : Epoch  7, Batch    832, Loss  0.867714, Average Loss  0.868605, Time  0.238281
2021-09-16 15:47:13.992253 : Epoch  9, Batch    273, Loss  0.863159, Average Loss  0.869021, Time  0.264259
2021-09-16 15:47:14.218726 : Epoch  7, Batch    833, Loss  0.864181, Average Loss  0.868513, Time  0.238425
2021-09-16 15:47:16.801964 : Epoch  7, Batch    834, Loss  0.860968, Average Loss  0.868464, Time  0.238214
2021-09-16 15:47:17.025070 : Epoch  9, Batch    274, Loss  0.874109, Average Loss  0.868988, Time  0.263826
2021-09-16 15:47:19.428089 : Epoch  7, Batch    835, Loss  0.869731, Average Loss  0.868515, Time  0.238251
2021-09-16 15:47:20.059500 : Epoch  9, Batch    275, Loss  0.862327, Average Loss  0.868934, Time  0.264458
2021-09-16 15:47:22.072942 : Epoch  7, Batch    836, Loss  0.893743, Average Loss  0.868562, Time  0.238386
2021-09-16 15:47:23.091356 : Epoch  9, Batch    276, Loss  0.857396, Average Loss  0.868945, Time  0.264355
2021-09-16 15:47:24.724079 : Epoch  7, Batch    837, Loss  0.863211, Average Loss  0.868414, Time  0.238286
2021-09-16 15:47:26.129088 : Epoch  9, Batch    277, Loss  0.857522, Average Loss  0.868855, Time  0.264952
2021-09-16 15:47:27.325990 : Epoch  7, Batch    838, Loss  0.848503, Average Loss  0.868235, Time  0.238632
2021-09-16 15:47:29.168786 : Epoch  9, Batch    278, Loss  0.872977, Average Loss  0.868835, Time  0.264388
2021-09-16 15:47:29.952765 : Epoch  7, Batch    839, Loss  0.884462, Average Loss  0.868295, Time  0.238406
2021-09-16 15:47:32.207502 : Epoch  9, Batch    279, Loss  0.882707, Average Loss  0.868900, Time  0.264388
2021-09-16 15:47:32.565859 : Epoch  7, Batch    840, Loss  0.867285, Average Loss  0.868379, Time  0.252756
2021-09-16 15:47:35.180879 : Epoch  7, Batch    841, Loss  0.874610, Average Loss  0.868259, Time  0.238798
2021-09-16 15:47:35.258754 : Epoch  9, Batch    280, Loss  0.877815, Average Loss  0.868988, Time  0.264254
2021-09-16 15:47:37.793255 : Epoch  7, Batch    842, Loss  0.879202, Average Loss  0.868308, Time  0.238699
2021-09-16 15:47:38.290724 : Epoch  9, Batch    281, Loss  0.854069, Average Loss  0.868924, Time  0.263829
2021-09-16 15:47:40.416048 : Epoch  7, Batch    843, Loss  0.870112, Average Loss  0.868392, Time  0.238188
2021-09-16 15:47:41.324451 : Epoch  9, Batch    282, Loss  0.886409, Average Loss  0.869020, Time  0.272943
2021-09-16 15:47:43.031679 : Epoch  7, Batch    844, Loss  0.866692, Average Loss  0.868363, Time  0.238454
2021-09-16 15:47:44.366023 : Epoch  9, Batch    283, Loss  0.840671, Average Loss  0.868830, Time  0.265098
2021-09-16 15:47:45.637978 : Epoch  7, Batch    845, Loss  0.868296, Average Loss  0.868319, Time  0.238304
2021-09-16 15:47:47.409335 : Epoch  9, Batch    284, Loss  0.860472, Average Loss  0.868755, Time  0.264505
2021-09-16 15:47:48.256259 : Epoch  7, Batch    846, Loss  0.879510, Average Loss  0.868365, Time  0.237963
2021-09-16 15:47:50.446263 : Epoch  9, Batch    285, Loss  0.867003, Average Loss  0.868677, Time  0.263684
2021-09-16 15:47:50.870286 : Epoch  7, Batch    847, Loss  0.857729, Average Loss  0.868268, Time  0.238626
2021-09-16 15:47:53.479774 : Epoch  9, Batch    286, Loss  0.877709, Average Loss  0.868767, Time  0.264005
2021-09-16 15:47:53.492285 : Epoch  7, Batch    848, Loss  0.863474, Average Loss  0.868373, Time  0.239115
2021-09-16 15:47:56.097762 : Epoch  7, Batch    849, Loss  0.876283, Average Loss  0.868416, Time  0.238275
2021-09-16 15:47:56.511902 : Epoch  9, Batch    287, Loss  0.875239, Average Loss  0.868806, Time  0.264104
2021-09-16 15:47:58.696065 : Epoch  7, Batch    850, Loss  0.850117, Average Loss  0.868330, Time  0.239602
2021-09-16 15:47:59.537731 : Epoch  9, Batch    288, Loss  0.864574, Average Loss  0.868861, Time  0.264134
2021-09-16 15:48:01.321723 : Epoch  7, Batch    851, Loss  0.886134, Average Loss  0.868547, Time  0.238929
2021-09-16 15:48:02.563804 : Epoch  9, Batch    289, Loss  0.877327, Average Loss  0.868885, Time  0.265674
2021-09-16 15:48:03.937740 : Epoch  7, Batch    852, Loss  0.866101, Average Loss  0.868563, Time  0.238977
2021-09-16 15:48:05.595122 : Epoch  9, Batch    290, Loss  0.867601, Average Loss  0.868898, Time  0.264155
2021-09-16 15:48:06.541067 : Epoch  7, Batch    853, Loss  0.870354, Average Loss  0.868639, Time  0.238938
2021-09-16 15:48:08.624283 : Epoch  9, Batch    291, Loss  0.856847, Average Loss  0.868780, Time  0.264326
2021-09-16 15:48:09.145869 : Epoch  7, Batch    854, Loss  0.853927, Average Loss  0.868551, Time  0.238312
2021-09-16 15:48:11.679892 : Epoch  9, Batch    292, Loss  0.880606, Average Loss  0.868838, Time  0.264101
2021-09-16 15:48:11.762974 : Epoch  7, Batch    855, Loss  0.875103, Average Loss  0.868596, Time  0.238666
2021-09-16 15:48:14.382008 : Epoch  7, Batch    856, Loss  0.859589, Average Loss  0.868462, Time  0.238309
2021-09-16 15:48:14.719818 : Epoch  9, Batch    293, Loss  0.883264, Average Loss  0.868864, Time  0.264247
2021-09-16 15:48:16.975975 : Epoch  7, Batch    857, Loss  0.882473, Average Loss  0.868525, Time  0.238172
2021-09-16 15:48:17.741603 : Epoch  9, Batch    294, Loss  0.848926, Average Loss  0.868750, Time  0.264193
2021-09-16 15:48:19.590968 : Epoch  7, Batch    858, Loss  0.865668, Average Loss  0.868444, Time  0.238513
2021-09-16 15:48:20.770925 : Epoch  9, Batch    295, Loss  0.888119, Average Loss  0.868880, Time  0.264288
2021-09-16 15:48:22.193296 : Epoch  7, Batch    859, Loss  0.864356, Average Loss  0.868496, Time  0.238420
2021-09-16 15:48:23.806415 : Epoch  9, Batch    296, Loss  0.860683, Average Loss  0.868750, Time  0.264408
2021-09-16 15:48:24.830638 : Epoch  7, Batch    860, Loss  0.877209, Average Loss  0.868556, Time  0.238163
2021-09-16 15:48:26.843404 : Epoch  9, Batch    297, Loss  0.851010, Average Loss  0.868664, Time  0.277509
2021-09-16 15:48:27.421001 : Epoch  7, Batch    861, Loss  0.878447, Average Loss  0.868605, Time  0.238666
2021-09-16 15:48:29.871404 : Epoch  9, Batch    298, Loss  0.872565, Average Loss  0.868594, Time  0.264912
2021-09-16 15:48:30.043070 : Epoch  7, Batch    862, Loss  0.848932, Average Loss  0.868619, Time  0.238477
2021-09-16 15:48:32.645625 : Epoch  7, Batch    863, Loss  0.863444, Average Loss  0.868608, Time  0.238534
2021-09-16 15:48:32.894809 : Epoch  9, Batch    299, Loss  0.875378, Average Loss  0.868595, Time  0.264446
2021-09-16 15:48:35.908469 : Epoch  9, Batch    300, Loss  0.862245, Average Loss  0.868629, Time  0.264421
2021-09-16 15:48:38.932788 : Epoch  9, Batch    301, Loss  0.876573, Average Loss  0.868753, Time  0.263822
2021-09-16 15:48:41.967932 : Epoch  9, Batch    302, Loss  0.877148, Average Loss  0.868800, Time  0.263960
2021-09-16 15:48:44.066271 : Epoch  7, Batch    864, Loss  0.860039, Average Loss  0.868517, Time  0.267939
2021-09-16 15:48:44.993343 : Epoch  9, Batch    303, Loss  0.895844, Average Loss  0.868885, Time  0.264210
2021-09-16 15:48:48.023020 : Epoch  9, Batch    304, Loss  0.889578, Average Loss  0.869052, Time  0.263848
2021-09-16 15:48:51.056276 : Epoch  9, Batch    305, Loss  0.866966, Average Loss  0.869045, Time  0.264493
2021-09-16 15:48:54.094304 : Epoch  9, Batch    306, Loss  0.882705, Average Loss  0.869156, Time  0.263941
2021-09-16 15:48:57.127988 : Epoch  9, Batch    307, Loss  0.852413, Average Loss  0.869189, Time  0.264202
2021-09-16 15:49:00.163624 : Epoch  9, Batch    308, Loss  0.897829, Average Loss  0.869375, Time  0.263803
2021-09-16 15:49:03.198604 : Epoch  9, Batch    309, Loss  0.897781, Average Loss  0.869443, Time  0.264234
2021-09-16 15:49:06.227828 : Epoch  9, Batch    310, Loss  0.874653, Average Loss  0.869504, Time  0.264278
2021-09-16 15:49:09.252852 : Epoch  9, Batch    311, Loss  0.874804, Average Loss  0.869619, Time  0.264411
2021-09-16 15:49:12.292760 : Epoch  9, Batch    312, Loss  0.887099, Average Loss  0.869657, Time  0.277343
2021-09-16 15:49:15.318955 : Epoch  9, Batch    313, Loss  0.853592, Average Loss  0.869665, Time  0.264755
2021-09-16 15:49:18.351180 : Epoch  9, Batch    314, Loss  0.880222, Average Loss  0.869752, Time  0.264311
2021-09-16 15:49:21.385282 : Epoch  9, Batch    315, Loss  0.847397, Average Loss  0.869691, Time  0.264336
2021-09-16 15:49:24.416839 : Epoch  9, Batch    316, Loss  0.872614, Average Loss  0.869664, Time  0.263828
2021-09-16 15:49:27.441870 : Epoch  9, Batch    317, Loss  0.863140, Average Loss  0.869605, Time  0.263920
2021-09-16 15:49:30.483751 : Epoch  9, Batch    318, Loss  0.874303, Average Loss  0.869699, Time  0.268297
2021-09-16 15:49:33.508703 : Epoch  9, Batch    319, Loss  0.886507, Average Loss  0.869969, Time  0.264008
2021-09-16 15:49:36.544925 : Epoch  9, Batch    320, Loss  0.844397, Average Loss  0.869784, Time  0.264105
2021-09-16 15:49:39.575427 : Epoch  9, Batch    321, Loss  0.884711, Average Loss  0.869871, Time  0.264354
2021-09-16 15:49:42.602194 : Epoch  9, Batch    322, Loss  0.884517, Average Loss  0.869941, Time  0.264123
2021-09-16 15:49:45.646914 : Epoch  9, Batch    323, Loss  0.873571, Average Loss  0.869905, Time  0.264977
2021-09-16 15:49:48.680246 : Epoch  9, Batch    324, Loss  0.865865, Average Loss  0.869967, Time  0.264074
2021-09-16 15:49:51.708377 : Epoch  9, Batch    325, Loss  0.874064, Average Loss  0.870026, Time  0.263918
2021-09-16 15:49:54.741507 : Epoch  9, Batch    326, Loss  0.860458, Average Loss  0.870039, Time  0.264454
2021-09-16 15:49:57.779685 : Epoch  9, Batch    327, Loss  0.870381, Average Loss  0.870089, Time  0.276457
2021-09-16 15:50:00.815284 : Epoch  9, Batch    328, Loss  0.869662, Average Loss  0.870097, Time  0.264788
2021-09-16 15:50:03.847892 : Epoch  9, Batch    329, Loss  0.873930, Average Loss  0.870146, Time  0.264241
2021-09-16 15:50:06.877860 : Epoch  9, Batch    330, Loss  0.869356, Average Loss  0.870126, Time  0.265432
2021-09-16 15:50:09.907050 : Epoch  9, Batch    331, Loss  0.845129, Average Loss  0.869947, Time  0.264189
2021-09-16 15:50:12.937912 : Epoch  9, Batch    332, Loss  0.871596, Average Loss  0.869861, Time  0.264320
2021-09-16 15:50:15.972297 : Epoch  9, Batch    333, Loss  0.889754, Average Loss  0.870006, Time  0.264153
2021-09-16 15:50:19.007944 : Epoch  9, Batch    334, Loss  0.862463, Average Loss  0.869994, Time  0.263894
2021-09-16 15:50:22.037613 : Epoch  9, Batch    335, Loss  0.871545, Average Loss  0.870060, Time  0.263983
2021-09-16 15:50:25.074569 : Epoch  9, Batch    336, Loss  0.846933, Average Loss  0.870007, Time  0.264204
2021-09-16 15:50:28.103455 : Epoch  9, Batch    337, Loss  0.890317, Average Loss  0.870090, Time  0.264159
2021-09-16 15:50:31.133838 : Epoch  9, Batch    338, Loss  0.853097, Average Loss  0.870009, Time  0.264156
2021-09-16 15:50:34.168834 : Epoch  9, Batch    339, Loss  0.855528, Average Loss  0.869982, Time  0.264046
2021-09-16 15:50:37.204290 : Epoch  9, Batch    340, Loss  0.860632, Average Loss  0.870020, Time  0.263973
2021-09-16 15:50:40.232999 : Epoch  9, Batch    341, Loss  0.880328, Average Loss  0.870198, Time  0.264143
2021-09-16 15:50:43.272546 : Epoch  9, Batch    342, Loss  0.859001, Average Loss  0.870225, Time  0.275553
2021-09-16 15:50:46.305498 : Epoch  9, Batch    343, Loss  0.871276, Average Loss  0.870200, Time  0.264263
2021-09-16 15:50:49.331383 : Epoch  9, Batch    344, Loss  0.865850, Average Loss  0.870234, Time  0.264412
2021-09-16 15:50:52.369060 : Epoch  9, Batch    345, Loss  0.874172, Average Loss  0.870293, Time  0.263918
2021-09-16 15:50:55.404831 : Epoch  9, Batch    346, Loss  0.875007, Average Loss  0.870246, Time  0.264414
2021-09-16 15:50:58.439520 : Epoch  9, Batch    347, Loss  0.867042, Average Loss  0.870171, Time  0.264270
2021-09-16 15:51:01.479550 : Epoch  9, Batch    348, Loss  0.863717, Average Loss  0.870092, Time  0.263890
2021-09-16 15:51:04.515429 : Epoch  9, Batch    349, Loss  0.868228, Average Loss  0.870174, Time  0.263702
2021-09-16 15:51:07.548285 : Epoch  9, Batch    350, Loss  0.867562, Average Loss  0.870235, Time  0.264001
2021-09-16 15:51:10.580665 : Epoch  9, Batch    351, Loss  0.847691, Average Loss  0.870195, Time  0.264175
2021-09-16 15:51:13.618565 : Epoch  9, Batch    352, Loss  0.889235, Average Loss  0.870344, Time  0.264094
2021-09-16 15:52:45.331700 : CheckPoint: Validation Loss  0.00030359, Best Loss  0.00029207
2021-09-16 15:52:47.941971 : Epoch  7, Batch    865, Loss  0.888067, Average Loss  0.868696, Time  0.244267
2021-09-16 15:52:50.578124 : Epoch  7, Batch    866, Loss  0.866510, Average Loss  0.868742, Time  0.238327
2021-09-16 15:52:53.214308 : Epoch  7, Batch    867, Loss  0.884886, Average Loss  0.868791, Time  0.238396
2021-09-16 15:52:55.859973 : Epoch  7, Batch    868, Loss  0.879114, Average Loss  0.868862, Time  0.238192
2021-09-16 15:52:58.488988 : Epoch  7, Batch    869, Loss  0.847269, Average Loss  0.868721, Time  0.238443
2021-09-16 15:53:01.122928 : Epoch  7, Batch    870, Loss  0.849840, Average Loss  0.868472, Time  0.239369
2021-09-16 15:53:03.768067 : Epoch  7, Batch    871, Loss  0.849839, Average Loss  0.868518, Time  0.238453
2021-09-16 15:53:06.404211 : Epoch  7, Batch    872, Loss  0.890306, Average Loss  0.868589, Time  0.238402
2021-09-16 15:53:09.045977 : Epoch  7, Batch    873, Loss  0.849611, Average Loss  0.868477, Time  0.238163
2021-09-16 15:53:11.688709 : Epoch  7, Batch    874, Loss  0.878816, Average Loss  0.868396, Time  0.238505
2021-09-16 15:53:14.330673 : Epoch  7, Batch    875, Loss  0.858743, Average Loss  0.868192, Time  0.238456
2021-09-16 15:53:16.963971 : Epoch  7, Batch    876, Loss  0.875035, Average Loss  0.868204, Time  0.238915
2021-09-16 15:53:19.591750 : Epoch  7, Batch    877, Loss  0.851424, Average Loss  0.868134, Time  0.238041
2021-09-16 15:53:22.228220 : Epoch  7, Batch    878, Loss  0.881082, Average Loss  0.868181, Time  0.238611
2021-09-16 15:53:24.858804 : Epoch  7, Batch    879, Loss  0.890803, Average Loss  0.868239, Time  0.240031
2021-09-16 15:53:27.494272 : Epoch  7, Batch    880, Loss  0.869335, Average Loss  0.868173, Time  0.238424
2021-09-16 15:53:30.132694 : Epoch  7, Batch    881, Loss  0.868106, Average Loss  0.868096, Time  0.239383
2021-09-16 15:53:32.791095 : Epoch  7, Batch    882, Loss  0.830506, Average Loss  0.867762, Time  0.238753
2021-09-16 15:53:35.430363 : Epoch  7, Batch    883, Loss  0.867688, Average Loss  0.867796, Time  0.239294
2021-09-16 15:53:38.061712 : Epoch  7, Batch    884, Loss  0.886574, Average Loss  0.867912, Time  0.238326
2021-09-16 15:53:40.707271 : Epoch  7, Batch    885, Loss  0.887824, Average Loss  0.868056, Time  0.238451
2021-09-16 15:53:43.341687 : Epoch  7, Batch    886, Loss  0.872426, Average Loss  0.868002, Time  0.238800
2021-09-16 15:53:45.974719 : Epoch  7, Batch    887, Loss  0.880457, Average Loss  0.868088, Time  0.238255
2021-09-16 15:53:48.601752 : Epoch  7, Batch    888, Loss  0.863533, Average Loss  0.868059, Time  0.238178
2021-09-16 15:53:51.231699 : Epoch  7, Batch    889, Loss  0.881633, Average Loss  0.868220, Time  0.238571
2021-09-16 15:53:53.856582 : Epoch  7, Batch    890, Loss  0.873400, Average Loss  0.868323, Time  0.238171
2021-09-16 15:53:56.498062 : Epoch  7, Batch    891, Loss  0.843351, Average Loss  0.868260, Time  0.238514
2021-09-16 15:53:59.129578 : Epoch  7, Batch    892, Loss  0.866243, Average Loss  0.868254, Time  0.238389
2021-09-16 15:54:01.760469 : Epoch  7, Batch    893, Loss  0.858894, Average Loss  0.868150, Time  0.238596
2021-09-16 15:54:04.402572 : Epoch  7, Batch    894, Loss  0.868547, Average Loss  0.868239, Time  0.238201
2021-09-16 15:54:07.040725 : Epoch  7, Batch    895, Loss  0.860487, Average Loss  0.868184, Time  0.238256
2021-09-16 15:54:09.667166 : Epoch  7, Batch    896, Loss  0.853519, Average Loss  0.868070, Time  0.238515
2021-09-16 15:54:12.311901 : Epoch  7, Batch    897, Loss  0.874306, Average Loss  0.868085, Time  0.238352
2021-09-16 15:54:14.939003 : Epoch  7, Batch    898, Loss  0.846922, Average Loss  0.867890, Time  0.238474
2021-09-16 15:54:17.562128 : Epoch  7, Batch    899, Loss  0.885591, Average Loss  0.868037, Time  0.238252
2021-09-16 15:54:20.188772 : Epoch  7, Batch    900, Loss  0.879107, Average Loss  0.868158, Time  0.238840
2021-09-16 15:54:22.823138 : Epoch  7, Batch    901, Loss  0.882093, Average Loss  0.868166, Time  0.238207
2021-09-16 15:54:25.458892 : Epoch  7, Batch    902, Loss  0.885367, Average Loss  0.868269, Time  0.238650
2021-09-16 15:54:28.090932 : Epoch  7, Batch    903, Loss  0.837334, Average Loss  0.868093, Time  0.239240
2021-09-16 15:54:30.722976 : Epoch  7, Batch    904, Loss  0.868079, Average Loss  0.868067, Time  0.238630
2021-09-16 15:54:33.361240 : Epoch  7, Batch    905, Loss  0.875045, Average Loss  0.868219, Time  0.239028
2021-09-16 15:54:36.002808 : Epoch  7, Batch    906, Loss  0.877647, Average Loss  0.868376, Time  0.239140
2021-09-16 15:54:38.635035 : Epoch  7, Batch    907, Loss  0.868836, Average Loss  0.868317, Time  0.238826
2021-09-16 15:54:41.275809 : Epoch  7, Batch    908, Loss  0.885217, Average Loss  0.868443, Time  0.239064
2021-09-16 15:54:43.921075 : Epoch  7, Batch    909, Loss  0.874226, Average Loss  0.868405, Time  0.239066
2021-09-16 15:54:46.552691 : Epoch  7, Batch    910, Loss  0.865889, Average Loss  0.868406, Time  0.238824
2021-09-16 15:54:49.198312 : Epoch  7, Batch    911, Loss  0.851532, Average Loss  0.868365, Time  0.239175
2021-09-16 15:54:51.838733 : Epoch  7, Batch    912, Loss  0.863406, Average Loss  0.868294, Time  0.238338
2021-09-16 15:54:54.489740 : Epoch  7, Batch    913, Loss  0.854726, Average Loss  0.868165, Time  0.239129
2021-09-16 15:54:57.125197 : Epoch  7, Batch    914, Loss  0.849421, Average Loss  0.868032, Time  0.238597
2021-09-16 15:54:59.759294 : Epoch  7, Batch    915, Loss  0.870448, Average Loss  0.868039, Time  0.238370
2021-09-16 15:55:02.400785 : Epoch  7, Batch    916, Loss  0.863810, Average Loss  0.868031, Time  0.238313
2021-09-16 15:55:05.040899 : Epoch  7, Batch    917, Loss  0.842099, Average Loss  0.867860, Time  0.238657
2021-09-16 15:55:07.678111 : Epoch  7, Batch    918, Loss  0.857300, Average Loss  0.867818, Time  0.239027
2021-09-16 15:55:10.311048 : Epoch  7, Batch    919, Loss  0.872790, Average Loss  0.867863, Time  0.239285
2021-09-16 15:55:12.935596 : Epoch  7, Batch    920, Loss  0.861421, Average Loss  0.867926, Time  0.238616
2021-09-16 15:55:15.557986 : Epoch  7, Batch    921, Loss  0.857393, Average Loss  0.867821, Time  0.238615
2021-09-16 15:55:18.186838 : Epoch  7, Batch    922, Loss  0.878365, Average Loss  0.867853, Time  0.238862
2021-09-16 15:55:20.817257 : Epoch  7, Batch    923, Loss  0.857438, Average Loss  0.867843, Time  0.238337
2021-09-16 15:55:23.447694 : Epoch  7, Batch    924, Loss  0.881378, Average Loss  0.867907, Time  0.238820
2021-09-16 15:55:26.093128 : Epoch  7, Batch    925, Loss  0.885039, Average Loss  0.868041, Time  0.238656
2021-09-16 15:55:28.735961 : Epoch  7, Batch    926, Loss  0.883528, Average Loss  0.868109, Time  0.239490
2021-09-16 15:55:31.379977 : Epoch  7, Batch    927, Loss  0.875515, Average Loss  0.868150, Time  0.238205
2021-09-16 15:55:34.016991 : Epoch  7, Batch    928, Loss  0.869377, Average Loss  0.868229, Time  0.239317
2021-09-16 15:55:36.651148 : Epoch  7, Batch    929, Loss  0.862835, Average Loss  0.868301, Time  0.238680
2021-09-16 15:55:39.287217 : Epoch  7, Batch    930, Loss  0.894282, Average Loss  0.868357, Time  0.238233
2021-09-16 15:55:41.927767 : Epoch  7, Batch    931, Loss  0.864317, Average Loss  0.868414, Time  0.238579
2021-09-16 15:55:44.562957 : Epoch  7, Batch    932, Loss  0.874865, Average Loss  0.868484, Time  0.238485
2021-09-16 15:55:47.206726 : Epoch  7, Batch    933, Loss  0.875776, Average Loss  0.868514, Time  0.238944
2021-09-16 15:55:49.831772 : Epoch  7, Batch    934, Loss  0.879460, Average Loss  0.868544, Time  0.238479
2021-09-16 15:55:52.466674 : Epoch  7, Batch    935, Loss  0.866397, Average Loss  0.868582, Time  0.238226
2021-09-16 15:55:54.406781 : CheckPoint: Validation Loss  0.00030179, Best Loss  0.00029295
2021-09-16 15:55:55.094914 : Epoch  7, Batch    936, Loss  0.861440, Average Loss  0.868540, Time  0.238726
2021-09-16 15:55:57.449479 : Epoch  9, Batch    353, Loss  0.857019, Average Loss  0.870258, Time  0.264014
2021-09-16 15:55:57.725976 : Epoch  7, Batch    937, Loss  0.867908, Average Loss  0.868466, Time  0.238337
2021-09-16 15:56:00.348002 : Epoch  7, Batch    938, Loss  0.862869, Average Loss  0.868422, Time  0.238631
2021-09-16 15:56:00.486107 : Epoch  9, Batch    354, Loss  0.880538, Average Loss  0.870323, Time  0.274161
2021-09-16 15:56:02.998970 : Epoch  7, Batch    939, Loss  0.880594, Average Loss  0.868550, Time  0.238245
2021-09-16 15:56:03.514295 : Epoch  9, Batch    355, Loss  0.861076, Average Loss  0.870267, Time  0.264073
2021-09-16 15:56:05.628849 : Epoch  7, Batch    940, Loss  0.874609, Average Loss  0.868598, Time  0.239186
2021-09-16 15:56:06.529993 : Epoch  9, Batch    356, Loss  0.869233, Average Loss  0.870368, Time  0.264155
2021-09-16 15:56:08.273105 : Epoch  7, Batch    941, Loss  0.861179, Average Loss  0.868646, Time  0.238063
2021-09-16 15:56:09.563054 : Epoch  9, Batch    357, Loss  0.879406, Average Loss  0.870344, Time  0.264408
2021-09-16 15:56:10.903263 : Epoch  7, Batch    942, Loss  0.903283, Average Loss  0.868864, Time  0.238488
2021-09-16 15:56:12.599214 : Epoch  9, Batch    358, Loss  0.877068, Average Loss  0.870549, Time  0.264143
2021-09-16 15:56:13.536699 : Epoch  7, Batch    943, Loss  0.868835, Average Loss  0.868935, Time  0.238175
2021-09-16 15:56:15.640887 : Epoch  9, Batch    359, Loss  0.867923, Average Loss  0.870511, Time  0.263760
2021-09-16 15:56:16.176088 : Epoch  7, Batch    944, Loss  0.870568, Average Loss  0.868939, Time  0.238633
2021-09-16 15:56:18.690790 : Epoch  9, Batch    360, Loss  0.872139, Average Loss  0.870625, Time  0.264459
2021-09-16 15:56:18.794764 : Epoch  7, Batch    945, Loss  0.861160, Average Loss  0.868895, Time  0.238356
2021-09-16 15:56:21.407175 : Epoch  7, Batch    946, Loss  0.842946, Average Loss  0.868735, Time  0.238241
2021-09-16 15:56:21.716949 : Epoch  9, Batch    361, Loss  0.846936, Average Loss  0.870467, Time  0.264030
2021-09-16 15:56:24.041813 : Epoch  7, Batch    947, Loss  0.862844, Average Loss  0.868783, Time  0.238346
2021-09-16 15:56:24.740888 : Epoch  9, Batch    362, Loss  0.874917, Average Loss  0.870516, Time  0.264569
2021-09-16 15:56:26.676801 : Epoch  7, Batch    948, Loss  0.869383, Average Loss  0.868710, Time  0.238163
2021-09-16 15:56:27.779314 : Epoch  9, Batch    363, Loss  0.850008, Average Loss  0.870405, Time  0.264113
2021-09-16 15:56:29.314990 : Epoch  7, Batch    949, Loss  0.873489, Average Loss  0.868715, Time  0.239215
2021-09-16 15:56:30.819263 : Epoch  9, Batch    364, Loss  0.877438, Average Loss  0.870398, Time  0.264316
2021-09-16 15:56:31.943146 : Epoch  7, Batch    950, Loss  0.862754, Average Loss  0.868665, Time  0.238384
2021-09-16 15:56:33.855879 : Epoch  9, Batch    365, Loss  0.888734, Average Loss  0.870443, Time  0.264211
2021-09-16 15:56:34.584203 : Epoch  7, Batch    951, Loss  0.855491, Average Loss  0.868656, Time  0.238909
2021-09-16 15:56:36.893607 : Epoch  9, Batch    366, Loss  0.870390, Average Loss  0.870464, Time  0.264282
2021-09-16 15:56:37.223125 : Epoch  7, Batch    952, Loss  0.885367, Average Loss  0.868777, Time  0.238800
2021-09-16 15:56:39.846256 : Epoch  7, Batch    953, Loss  0.877318, Average Loss  0.868877, Time  0.238732
2021-09-16 15:56:39.927445 : Epoch  9, Batch    367, Loss  0.878068, Average Loss  0.870455, Time  0.264124
2021-09-16 15:56:42.471702 : Epoch  7, Batch    954, Loss  0.852819, Average Loss  0.868762, Time  0.238539
2021-09-16 15:56:42.960138 : Epoch  9, Batch    368, Loss  0.884751, Average Loss  0.870553, Time  0.264152
2021-09-16 15:56:45.116745 : Epoch  7, Batch    955, Loss  0.868561, Average Loss  0.868769, Time  0.238964
2021-09-16 15:56:45.991326 : Epoch  9, Batch    369, Loss  0.884640, Average Loss  0.870554, Time  0.270209
2021-09-16 15:56:47.743152 : Epoch  7, Batch    956, Loss  0.883634, Average Loss  0.868757, Time  0.238567
2021-09-16 15:56:49.032346 : Epoch  9, Batch    370, Loss  0.865997, Average Loss  0.870573, Time  0.265104
2021-09-16 15:56:50.375175 : Epoch  7, Batch    957, Loss  0.887901, Average Loss  0.868836, Time  0.238801
2021-09-16 15:56:52.063932 : Epoch  9, Batch    371, Loss  0.865630, Average Loss  0.870616, Time  0.264476
2021-09-16 15:56:52.999251 : Epoch  7, Batch    958, Loss  0.874961, Average Loss  0.868919, Time  0.238016
2021-09-16 15:56:55.108453 : Epoch  9, Batch    372, Loss  0.864031, Average Loss  0.870567, Time  0.263898
2021-09-16 15:56:55.623976 : Epoch  7, Batch    959, Loss  0.880713, Average Loss  0.869006, Time  0.238753
2021-09-16 15:56:58.141446 : Epoch  9, Batch    373, Loss  0.880055, Average Loss  0.870651, Time  0.263860
2021-09-16 15:56:58.247153 : Epoch  7, Batch    960, Loss  0.868950, Average Loss  0.868994, Time  0.238200
2021-09-16 15:57:00.873971 : Epoch  7, Batch    961, Loss  0.877776, Average Loss  0.869030, Time  0.238775
2021-09-16 15:57:01.168685 : Epoch  9, Batch    374, Loss  0.887019, Average Loss  0.870800, Time  0.264057
2021-09-16 15:57:03.500870 : Epoch  7, Batch    962, Loss  0.876653, Average Loss  0.869133, Time  0.238128
2021-09-16 15:57:04.193306 : Epoch  9, Batch    375, Loss  0.884097, Average Loss  0.870901, Time  0.263888
2021-09-16 15:57:06.134949 : Epoch  7, Batch    963, Loss  0.879429, Average Loss  0.869074, Time  0.238382
2021-09-16 15:57:07.225728 : Epoch  9, Batch    376, Loss  0.851637, Average Loss  0.870906, Time  0.264892
2021-09-16 15:57:08.767248 : Epoch  7, Batch    964, Loss  0.869469, Average Loss  0.869074, Time  0.238794
2021-09-16 15:57:10.258947 : Epoch  9, Batch    377, Loss  0.855166, Average Loss  0.870768, Time  0.263990
2021-09-16 15:57:13.287926 : Epoch  9, Batch    378, Loss  0.848945, Average Loss  0.870759, Time  0.264267
2021-09-16 15:57:16.329251 : Epoch  9, Batch    379, Loss  0.873704, Average Loss  0.870785, Time  0.263987
2021-09-16 15:57:19.374093 : Epoch  9, Batch    380, Loss  0.886590, Average Loss  0.870762, Time  0.264688
2021-09-16 15:57:22.411565 : Epoch  9, Batch    381, Loss  0.868616, Average Loss  0.870721, Time  0.264107
2021-09-16 15:57:25.439171 : Epoch  9, Batch    382, Loss  0.867390, Average Loss  0.870741, Time  0.264142
2021-09-16 15:57:28.469896 : Epoch  9, Batch    383, Loss  0.869876, Average Loss  0.870715, Time  0.263869
2021-09-16 15:57:31.525315 : Epoch  9, Batch    384, Loss  0.848966, Average Loss  0.870703, Time  0.275543
2021-09-16 15:57:34.561403 : Epoch  9, Batch    385, Loss  0.873049, Average Loss  0.870697, Time  0.264396
2021-09-16 15:57:37.602970 : Epoch  9, Batch    386, Loss  0.906591, Average Loss  0.870861, Time  0.264049
2021-09-16 15:57:40.643102 : Epoch  9, Batch    387, Loss  0.847873, Average Loss  0.870782, Time  0.264125
2021-09-16 15:57:43.679794 : Epoch  9, Batch    388, Loss  0.859750, Average Loss  0.870701, Time  0.263682
2021-09-16 15:57:46.736943 : Epoch  9, Batch    389, Loss  0.869980, Average Loss  0.870753, Time  0.264333
2021-09-16 15:57:49.771095 : Epoch  9, Batch    390, Loss  0.868565, Average Loss  0.870737, Time  0.263963
2021-09-16 15:57:52.801343 : Epoch  9, Batch    391, Loss  0.848209, Average Loss  0.870678, Time  0.264179
2021-09-16 15:57:55.839830 : Epoch  9, Batch    392, Loss  0.868722, Average Loss  0.870693, Time  0.264358
2021-09-16 15:57:58.876100 : Epoch  9, Batch    393, Loss  0.882889, Average Loss  0.870669, Time  0.264100
2021-09-16 15:58:01.910864 : Epoch  9, Batch    394, Loss  0.901875, Average Loss  0.870915, Time  0.264105
2021-09-16 15:58:04.937436 : Epoch  9, Batch    395, Loss  0.865606, Average Loss  0.871002, Time  0.264166
2021-09-16 15:58:07.969902 : Epoch  9, Batch    396, Loss  0.865017, Average Loss  0.870991, Time  0.266320
2021-09-16 15:58:11.004050 : Epoch  9, Batch    397, Loss  0.849422, Average Loss  0.870911, Time  0.264262
2021-09-16 15:58:14.037833 : Epoch  9, Batch    398, Loss  0.877322, Average Loss  0.870976, Time  0.264205
2021-09-16 15:58:17.086960 : Epoch  9, Batch    399, Loss  0.865563, Average Loss  0.870975, Time  0.278304
2021-09-16 15:58:20.123991 : Epoch  9, Batch    400, Loss  0.867491, Average Loss  0.870998, Time  0.265141
2021-09-16 15:58:23.166808 : Epoch  9, Batch    401, Loss  0.855737, Average Loss  0.870990, Time  0.264244
2021-09-16 15:58:26.196560 : Epoch  9, Batch    402, Loss  0.865161, Average Loss  0.870903, Time  0.264571
2021-09-16 15:58:29.226061 : Epoch  9, Batch    403, Loss  0.867971, Average Loss  0.871030, Time  0.264140
2021-09-16 15:58:32.260997 : Epoch  9, Batch    404, Loss  0.881829, Average Loss  0.871009, Time  0.264322
2021-09-16 15:58:35.291894 : Epoch  9, Batch    405, Loss  0.867764, Average Loss  0.871064, Time  0.264014
2021-09-16 15:58:38.322569 : Epoch  9, Batch    406, Loss  0.864812, Average Loss  0.871023, Time  0.264022
2021-09-16 15:58:41.368792 : Epoch  9, Batch    407, Loss  0.879025, Average Loss  0.870925, Time  0.264270
2021-09-16 15:58:44.399785 : Epoch  9, Batch    408, Loss  0.863810, Average Loss  0.870935, Time  0.263956
2021-09-16 15:58:47.433109 : Epoch  9, Batch    409, Loss  0.889612, Average Loss  0.871027, Time  0.263856
2021-09-16 15:58:50.475459 : Epoch  9, Batch    410, Loss  0.892702, Average Loss  0.871082, Time  0.264250
2021-09-16 15:58:53.503267 : Epoch  9, Batch    411, Loss  0.855062, Average Loss  0.870946, Time  0.263655
2021-09-16 15:58:56.543099 : Epoch  9, Batch    412, Loss  0.876656, Average Loss  0.871054, Time  0.263740
2021-09-16 15:58:59.579141 : Epoch  9, Batch    413, Loss  0.875201, Average Loss  0.871081, Time  0.263942
2021-09-16 15:59:02.633197 : Epoch  9, Batch    414, Loss  0.889614, Average Loss  0.871147, Time  0.274194
2021-09-16 15:59:05.666607 : Epoch  9, Batch    415, Loss  0.877288, Average Loss  0.871244, Time  0.264152
2021-09-16 15:59:08.703798 : Epoch  9, Batch    416, Loss  0.876119, Average Loss  0.871219, Time  0.263662
2021-09-16 15:59:11.739293 : Epoch  9, Batch    417, Loss  0.870816, Average Loss  0.871237, Time  0.265541
2021-09-16 15:59:14.784815 : Epoch  9, Batch    418, Loss  0.900662, Average Loss  0.871382, Time  0.264108
2021-09-16 15:59:17.827018 : Epoch  9, Batch    419, Loss  0.863171, Average Loss  0.871282, Time  0.266075
2021-09-16 15:59:20.867703 : Epoch  9, Batch    420, Loss  0.880881, Average Loss  0.871399, Time  0.264521
2021-09-16 15:59:23.918297 : Epoch  9, Batch    421, Loss  0.858410, Average Loss  0.871352, Time  0.263927
2021-09-16 15:59:26.951181 : Epoch  9, Batch    422, Loss  0.873657, Average Loss  0.871233, Time  0.263944
2021-09-16 15:59:29.982218 : Epoch  9, Batch    423, Loss  0.872035, Average Loss  0.871334, Time  0.264005
2021-09-16 15:59:33.016431 : Epoch  9, Batch    424, Loss  0.883032, Average Loss  0.871379, Time  0.263894
2021-09-16 15:59:36.043793 : Epoch  9, Batch    425, Loss  0.858829, Average Loss  0.871341, Time  0.263868
2021-09-16 15:59:39.082083 : Epoch  9, Batch    426, Loss  0.881904, Average Loss  0.871400, Time  0.264134
2021-09-16 15:59:42.122103 : Epoch  9, Batch    427, Loss  0.877487, Average Loss  0.871493, Time  0.263847
2021-09-16 15:59:45.158963 : Epoch  9, Batch    428, Loss  0.875376, Average Loss  0.871524, Time  0.264138
2021-09-16 15:59:48.216819 : Epoch  9, Batch    429, Loss  0.878805, Average Loss  0.871497, Time  0.278361
2021-09-16 15:59:51.249410 : Epoch  9, Batch    430, Loss  0.878379, Average Loss  0.871570, Time  0.264984
2021-09-16 15:59:54.279142 : Epoch  9, Batch    431, Loss  0.861571, Average Loss  0.871480, Time  0.264465
2021-09-16 15:59:57.317495 : Epoch  9, Batch    432, Loss  0.896328, Average Loss  0.871530, Time  0.264581
2021-09-16 16:00:00.355026 : Epoch  9, Batch    433, Loss  0.870438, Average Loss  0.871394, Time  0.264257
2021-09-16 16:00:03.398465 : Epoch  9, Batch    434, Loss  0.867050, Average Loss  0.871425, Time  0.264221
2021-09-16 16:00:06.435950 : Epoch  9, Batch    435, Loss  0.875561, Average Loss  0.871558, Time  0.264594
2021-09-16 16:00:09.478907 : Epoch  9, Batch    436, Loss  0.857594, Average Loss  0.871270, Time  0.264388
2021-09-16 16:00:12.508802 : Epoch  9, Batch    437, Loss  0.861219, Average Loss  0.871264, Time  0.264146
2021-09-16 16:00:15.539878 : Epoch  9, Batch    438, Loss  0.870700, Average Loss  0.871286, Time  0.264549
2021-09-16 16:00:18.571934 : Epoch  9, Batch    439, Loss  0.873794, Average Loss  0.871285, Time  0.264061
2021-09-16 16:00:21.616104 : Epoch  9, Batch    440, Loss  0.866814, Average Loss  0.871286, Time  0.264694
2021-09-16 16:00:24.672079 : Epoch  9, Batch    441, Loss  0.867021, Average Loss  0.871294, Time  0.270517
2021-09-16 16:00:27.706845 : Epoch  9, Batch    442, Loss  0.883389, Average Loss  0.871442, Time  0.264239
2021-09-16 16:00:30.741146 : Epoch  9, Batch    443, Loss  0.861446, Average Loss  0.871399, Time  0.264337
2021-09-16 16:00:33.798810 : Epoch  9, Batch    444, Loss  0.866979, Average Loss  0.871424, Time  0.283028
2021-09-16 16:00:36.833135 : Epoch  9, Batch    445, Loss  0.878249, Average Loss  0.871525, Time  0.264935
2021-09-16 16:00:39.868793 : Epoch  9, Batch    446, Loss  0.853991, Average Loss  0.871461, Time  0.264059
2021-09-16 16:00:42.901047 : Epoch  9, Batch    447, Loss  0.858894, Average Loss  0.871336, Time  0.264213
2021-09-16 16:00:45.941319 : Epoch  9, Batch    448, Loss  0.855268, Average Loss  0.871216, Time  0.264208
2021-09-16 16:00:48.981797 : Epoch  9, Batch    449, Loss  0.868796, Average Loss  0.871105, Time  0.263940
2021-09-16 16:00:52.019752 : Epoch  9, Batch    450, Loss  0.882654, Average Loss  0.871283, Time  0.264042
2021-09-16 16:00:55.055195 : Epoch  9, Batch    451, Loss  0.864650, Average Loss  0.871215, Time  0.264012
2021-09-16 16:00:58.094087 : Epoch  9, Batch    452, Loss  0.848635, Average Loss  0.871091, Time  0.265963
2021-09-16 16:01:10.828708 : CheckPoint: Validation Loss  0.00030790, Best Loss  0.00029207
2021-09-16 16:01:13.423952 : Epoch  7, Batch    965, Loss  0.870534, Average Loss  0.869091, Time  0.239800
2021-09-16 16:01:16.035979 : Epoch  7, Batch    966, Loss  0.849414, Average Loss  0.868935, Time  0.238456
2021-09-16 16:01:18.655221 : Epoch  7, Batch    967, Loss  0.849355, Average Loss  0.868768, Time  0.238403
2021-09-16 16:01:21.263276 : Epoch  7, Batch    968, Loss  0.883816, Average Loss  0.868927, Time  0.238662
2021-09-16 16:01:23.878942 : Epoch  7, Batch    969, Loss  0.839901, Average Loss  0.868892, Time  0.238456
2021-09-16 16:01:26.500041 : Epoch  7, Batch    970, Loss  0.856505, Average Loss  0.868770, Time  0.238361
2021-09-16 16:01:29.110050 : Epoch  7, Batch    971, Loss  0.872418, Average Loss  0.868839, Time  0.238650
2021-09-16 16:01:31.722728 : Epoch  7, Batch    972, Loss  0.862089, Average Loss  0.868742, Time  0.238535
2021-09-16 16:01:34.333944 : Epoch  7, Batch    973, Loss  0.865924, Average Loss  0.868741, Time  0.238883
2021-09-16 16:01:36.943866 : Epoch  7, Batch    974, Loss  0.856779, Average Loss  0.868653, Time  0.238225
2021-09-16 16:01:39.554882 : Epoch  7, Batch    975, Loss  0.874608, Average Loss  0.868629, Time  0.238393
2021-09-16 16:01:42.169232 : Epoch  7, Batch    976, Loss  0.856335, Average Loss  0.868545, Time  0.238297
2021-09-16 16:01:44.781009 : Epoch  7, Batch    977, Loss  0.862759, Average Loss  0.868499, Time  0.238372
2021-09-16 16:01:47.390064 : Epoch  7, Batch    978, Loss  0.872610, Average Loss  0.868452, Time  0.238498
2021-09-16 16:01:49.996985 : Epoch  7, Batch    979, Loss  0.873247, Average Loss  0.868462, Time  0.238619
2021-09-16 16:01:52.613365 : Epoch  7, Batch    980, Loss  0.868038, Average Loss  0.868488, Time  0.238559
2021-09-16 16:01:55.225634 : Epoch  7, Batch    981, Loss  0.862840, Average Loss  0.868493, Time  0.238288
2021-09-16 16:01:57.835255 : Epoch  7, Batch    982, Loss  0.882451, Average Loss  0.868598, Time  0.238232
2021-09-16 16:02:00.447983 : Epoch  7, Batch    983, Loss  0.859235, Average Loss  0.868553, Time  0.238613
2021-09-16 16:02:03.069737 : Epoch  7, Batch    984, Loss  0.873837, Average Loss  0.868610, Time  0.239790
2021-09-16 16:02:05.678747 : Epoch  7, Batch    985, Loss  0.872631, Average Loss  0.868631, Time  0.238117
2021-09-16 16:02:08.313950 : Epoch  7, Batch    986, Loss  0.873360, Average Loss  0.868548, Time  0.239042
2021-09-16 16:02:10.923997 : Epoch  7, Batch    987, Loss  0.880371, Average Loss  0.868524, Time  0.239125
2021-09-16 16:02:13.543067 : Epoch  7, Batch    988, Loss  0.852389, Average Loss  0.868462, Time  0.238588
2021-09-16 16:02:16.152638 : Epoch  7, Batch    989, Loss  0.856360, Average Loss  0.868423, Time  0.238485
2021-09-16 16:02:18.776040 : Epoch  7, Batch    990, Loss  0.861808, Average Loss  0.868391, Time  0.238889
2021-09-16 16:02:21.399543 : Epoch  7, Batch    991, Loss  0.867823, Average Loss  0.868289, Time  0.238739
2021-09-16 16:02:24.009778 : Epoch  7, Batch    992, Loss  0.856931, Average Loss  0.868223, Time  0.238441
2021-09-16 16:02:26.623270 : Epoch  7, Batch    993, Loss  0.882979, Average Loss  0.868324, Time  0.238501
2021-09-16 16:02:29.235430 : Epoch  7, Batch    994, Loss  0.882968, Average Loss  0.868464, Time  0.238319
2021-09-16 16:02:31.844083 : Epoch  7, Batch    995, Loss  0.875209, Average Loss  0.868427, Time  0.238632
2021-09-16 16:02:34.457053 : Epoch  7, Batch    996, Loss  0.869546, Average Loss  0.868422, Time  0.238394
2021-09-16 16:02:37.060029 : Epoch  7, Batch    997, Loss  0.854226, Average Loss  0.868413, Time  0.238311
2021-09-16 16:02:39.674294 : Epoch  7, Batch    998, Loss  0.874678, Average Loss  0.868398, Time  0.238692
2021-09-16 16:02:42.292253 : Epoch  7, Batch    999, Loss  0.880274, Average Loss  0.868463, Time  0.238288
2021-09-16 16:02:44.930147 : Epoch  7, Batch   1000, Loss  0.870520, Average Loss  0.868407, Time  0.238785
2021-09-16 16:02:47.542984 : Epoch  7, Batch   1001, Loss  0.886400, Average Loss  0.868443, Time  0.238216
2021-09-16 16:02:50.155852 : Epoch  7, Batch   1002, Loss  0.856928, Average Loss  0.868363, Time  0.238797
2021-09-16 16:02:52.762912 : Epoch  7, Batch   1003, Loss  0.889487, Average Loss  0.868436, Time  0.238302
2021-09-16 16:02:55.378974 : Epoch  7, Batch   1004, Loss  0.870787, Average Loss  0.868422, Time  0.238282
2021-09-16 16:02:57.985952 : Epoch  7, Batch   1005, Loss  0.863699, Average Loss  0.868443, Time  0.238291
2021-09-16 16:03:00.595717 : Epoch  7, Batch   1006, Loss  0.858762, Average Loss  0.868443, Time  0.238080
2021-09-16 16:03:03.203745 : Epoch  7, Batch   1007, Loss  0.882229, Average Loss  0.868498, Time  0.239804
2021-09-16 16:03:05.817213 : Epoch  7, Batch   1008, Loss  0.846488, Average Loss  0.868374, Time  0.237883
2021-09-16 16:03:08.470852 : Epoch  7, Batch   1009, Loss  0.867038, Average Loss  0.868498, Time  0.238582
2021-09-16 16:03:11.104784 : Epoch  7, Batch   1010, Loss  0.869134, Average Loss  0.868560, Time  0.239235
2021-09-16 16:03:13.712050 : Epoch  7, Batch   1011, Loss  0.875761, Average Loss  0.868583, Time  0.238564
2021-09-16 16:03:16.322995 : Epoch  7, Batch   1012, Loss  0.865994, Average Loss  0.868608, Time  0.238489
2021-09-16 16:03:18.937309 : Epoch  7, Batch   1013, Loss  0.879006, Average Loss  0.868677, Time  0.238863
2021-09-16 16:03:21.551968 : Epoch  7, Batch   1014, Loss  0.865303, Average Loss  0.868662, Time  0.238434
2021-09-16 16:03:24.164895 : Epoch  7, Batch   1015, Loss  0.905592, Average Loss  0.868820, Time  0.238330
2021-09-16 16:03:26.775095 : Epoch  7, Batch   1016, Loss  0.866949, Average Loss  0.868844, Time  0.238729
2021-09-16 16:03:29.386984 : Epoch  7, Batch   1017, Loss  0.870161, Average Loss  0.868813, Time  0.238389
2021-09-16 16:03:32.005454 : Epoch  7, Batch   1018, Loss  0.878739, Average Loss  0.868877, Time  0.238729
2021-09-16 16:03:34.621940 : Epoch  7, Batch   1019, Loss  0.881261, Average Loss  0.868952, Time  0.238398
2021-09-16 16:03:37.238821 : Epoch  7, Batch   1020, Loss  0.868081, Average Loss  0.868912, Time  0.238687
2021-09-16 16:03:39.861086 : Epoch  7, Batch   1021, Loss  0.867709, Average Loss  0.868925, Time  0.238373
2021-09-16 16:03:42.474705 : Epoch  7, Batch   1022, Loss  0.868492, Average Loss  0.868905, Time  0.238333
2021-09-16 16:03:45.085182 : Epoch  7, Batch   1023, Loss  0.885025, Average Loss  0.868860, Time  0.238506
2021-09-16 16:03:47.738694 : Epoch  7, Batch   1024, Loss  0.852338, Average Loss  0.868717, Time  0.238150
2021-09-16 16:03:50.347258 : Epoch  7, Batch   1025, Loss  0.852738, Average Loss  0.868649, Time  0.238847
2021-09-16 16:03:52.969912 : Epoch  7, Batch   1026, Loss  0.878695, Average Loss  0.868648, Time  0.238389
2021-09-16 16:03:55.592990 : Epoch  7, Batch   1027, Loss  0.825626, Average Loss  0.868557, Time  0.238876
2021-09-16 16:03:58.208177 : Epoch  7, Batch   1028, Loss  0.862914, Average Loss  0.868572, Time  0.238309
2021-09-16 16:04:00.820777 : Epoch  7, Batch   1029, Loss  0.886919, Average Loss  0.868552, Time  0.239393
2021-09-16 16:04:03.442001 : Epoch  7, Batch   1030, Loss  0.871052, Average Loss  0.868680, Time  0.238517
2021-09-16 16:04:06.058174 : Epoch  7, Batch   1031, Loss  0.872604, Average Loss  0.868848, Time  0.239454
2021-09-16 16:04:08.670306 : Epoch  7, Batch   1032, Loss  0.878734, Average Loss  0.868903, Time  0.238128
2021-09-16 16:04:11.278133 : Epoch  7, Batch   1033, Loss  0.862426, Average Loss  0.868894, Time  0.239436
2021-09-16 16:04:13.886351 : Epoch  7, Batch   1034, Loss  0.876726, Average Loss  0.868973, Time  0.238811
2021-09-16 16:04:16.501218 : Epoch  7, Batch   1035, Loss  0.866345, Average Loss  0.868956, Time  0.238261
2021-09-16 16:04:19.120232 : Epoch  7, Batch   1036, Loss  0.867352, Average Loss  0.868824, Time  0.239449
2021-09-16 16:04:21.726254 : Epoch  7, Batch   1037, Loss  0.870988, Average Loss  0.868863, Time  0.238153
2021-09-16 16:04:24.336307 : Epoch  7, Batch   1038, Loss  0.886236, Average Loss  0.869052, Time  0.238525
2021-09-16 16:04:26.955963 : Epoch  7, Batch   1039, Loss  0.863676, Average Loss  0.868948, Time  0.238458
2021-09-16 16:04:29.569721 : Epoch  7, Batch   1040, Loss  0.867593, Average Loss  0.868950, Time  0.238310
2021-09-16 16:04:32.178064 : Epoch  7, Batch   1041, Loss  0.863855, Average Loss  0.868896, Time  0.238300
2021-09-16 16:04:34.794957 : Epoch  7, Batch   1042, Loss  0.868265, Average Loss  0.868841, Time  0.238497
2021-09-16 16:04:37.403642 : Epoch  7, Batch   1043, Loss  0.858950, Average Loss  0.868785, Time  0.238937
2021-09-16 16:04:40.024983 : Epoch  7, Batch   1044, Loss  0.878639, Average Loss  0.868845, Time  0.238964
2021-09-16 16:04:42.636259 : Epoch  7, Batch   1045, Loss  0.867146, Average Loss  0.868839, Time  0.238198
2021-09-16 16:04:45.248707 : Epoch  7, Batch   1046, Loss  0.846520, Average Loss  0.868674, Time  0.238480
2021-09-16 16:04:47.851992 : Epoch  7, Batch   1047, Loss  0.870200, Average Loss  0.868737, Time  0.238264
2021-09-16 16:04:50.468974 : Epoch  7, Batch   1048, Loss  0.841706, Average Loss  0.868628, Time  0.238565
2021-09-16 16:04:53.074998 : Epoch  7, Batch   1049, Loss  0.882311, Average Loss  0.868658, Time  0.238354
2021-09-16 16:04:55.690795 : Epoch  7, Batch   1050, Loss  0.840530, Average Loss  0.868610, Time  0.238546
2021-09-16 16:04:58.308971 : Epoch  7, Batch   1051, Loss  0.873190, Average Loss  0.868545, Time  0.238119
2021-09-16 16:05:00.913594 : Epoch  7, Batch   1052, Loss  0.864627, Average Loss  0.868538, Time  0.238488
2021-09-16 16:05:03.531331 : Epoch  7, Batch   1053, Loss  0.868144, Average Loss  0.868527, Time  0.238363
2021-09-16 16:05:06.142745 : Epoch  7, Batch   1054, Loss  0.859645, Average Loss  0.868555, Time  0.239022
2021-09-16 16:05:08.764187 : Epoch  7, Batch   1055, Loss  0.858716, Average Loss  0.868474, Time  0.238325
2021-09-16 16:05:11.386079 : Epoch  7, Batch   1056, Loss  0.871892, Average Loss  0.868535, Time  0.239307
2021-09-16 16:05:14.005720 : Epoch  7, Batch   1057, Loss  0.863139, Average Loss  0.868438, Time  0.238701
2021-09-16 16:05:16.609823 : Epoch  7, Batch   1058, Loss  0.863009, Average Loss  0.868425, Time  0.238471
2021-09-16 16:05:19.223990 : Epoch  7, Batch   1059, Loss  0.844791, Average Loss  0.868327, Time  0.238777
2021-09-16 16:05:21.831454 : Epoch  7, Batch   1060, Loss  0.868903, Average Loss  0.868286, Time  0.238519
2021-09-16 16:05:24.462851 : Epoch  7, Batch   1061, Loss  0.866453, Average Loss  0.868226, Time  0.238927
2021-09-16 16:05:27.084111 : Epoch  7, Batch   1062, Loss  0.891791, Average Loss  0.868440, Time  0.238285
2021-09-16 16:05:29.700119 : Epoch  7, Batch   1063, Loss  0.871680, Average Loss  0.868481, Time  0.238223
2021-09-16 16:05:32.340000 : Epoch  7, Batch   1064, Loss  0.843656, Average Loss  0.868399, Time  0.238449
2021-09-16 16:05:40.020601 : CheckPoint: Validation Loss  0.00029806, Best Loss  0.00029295
2021-09-16 16:05:43.061059 : Epoch  9, Batch    453, Loss  0.883456, Average Loss  0.871231, Time  0.264131
2021-09-16 16:05:46.094548 : Epoch  9, Batch    454, Loss  0.879164, Average Loss  0.871427, Time  0.264352
2021-09-16 16:05:49.127056 : Epoch  9, Batch    455, Loss  0.867096, Average Loss  0.871317, Time  0.263853
2021-09-16 16:05:52.189638 : Epoch  9, Batch    456, Loss  0.879999, Average Loss  0.871325, Time  0.276867
2021-09-16 16:05:55.237432 : Epoch  9, Batch    457, Loss  0.861948, Average Loss  0.871151, Time  0.265247
2021-09-16 16:05:58.815439 : Epoch  9, Batch    458, Loss  0.834731, Average Loss  0.870873, Time  0.269788
2021-09-16 16:06:02.383296 : Epoch  9, Batch    459, Loss  0.850728, Average Loss  0.870832, Time  0.266154
2021-09-16 16:06:31.666632 : Epoch  9, Batch    460, Loss  0.866859, Average Loss  0.870705, Time  0.264759
2021-09-16 16:06:34.659951 : Epoch  9, Batch    461, Loss  0.841972, Average Loss  0.870513, Time  0.265466
2021-09-16 16:06:37.667813 : Epoch  9, Batch    462, Loss  0.848408, Average Loss  0.870382, Time  0.276306
2021-09-16 16:06:40.645424 : Epoch  9, Batch    463, Loss  0.875054, Average Loss  0.870386, Time  0.266088
2021-09-16 16:06:43.662728 : Epoch  9, Batch    464, Loss  0.901278, Average Loss  0.870414, Time  0.265509
2021-09-16 16:06:46.636414 : Epoch  9, Batch    465, Loss  0.862015, Average Loss  0.870280, Time  0.264442
2021-09-16 16:06:49.637906 : Epoch  9, Batch    466, Loss  0.827827, Average Loss  0.870117, Time  0.264942
2021-09-16 16:06:52.601490 : Epoch  9, Batch    467, Loss  0.873281, Average Loss  0.870093, Time  0.265375
2021-09-16 16:06:55.593068 : Epoch  9, Batch    468, Loss  0.871782, Average Loss  0.870041, Time  0.264462
2021-09-16 16:06:58.566369 : Epoch  9, Batch    469, Loss  0.850764, Average Loss  0.869949, Time  0.264645
2021-09-16 16:07:01.548364 : Epoch  9, Batch    470, Loss  0.844063, Average Loss  0.869772, Time  0.263932
2021-09-16 16:07:04.511716 : Epoch  9, Batch    471, Loss  0.864484, Average Loss  0.869676, Time  0.264133
2021-09-16 16:07:07.488072 : Epoch  9, Batch    472, Loss  0.858967, Average Loss  0.869598, Time  0.264390
2021-09-16 16:07:10.450199 : Epoch  9, Batch    473, Loss  0.845853, Average Loss  0.869511, Time  0.264252
2021-09-16 16:07:13.438861 : Epoch  9, Batch    474, Loss  0.871797, Average Loss  0.869500, Time  0.265747
2021-09-16 16:07:16.409185 : Epoch  9, Batch    475, Loss  0.888093, Average Loss  0.869629, Time  0.264803
2021-09-16 16:07:19.366114 : Epoch  9, Batch    476, Loss  0.860914, Average Loss  0.869646, Time  0.264270
2021-09-16 16:07:22.320126 : Epoch  9, Batch    477, Loss  0.852915, Average Loss  0.869623, Time  0.264470
2021-09-16 16:07:25.318652 : Epoch  9, Batch    478, Loss  0.865677, Average Loss  0.869587, Time  0.277708
2021-09-16 16:07:28.321869 : Epoch  9, Batch    479, Loss  0.888226, Average Loss  0.869614, Time  0.264746
2021-09-16 16:07:31.322464 : Epoch  9, Batch    480, Loss  0.867687, Average Loss  0.869564, Time  0.264464
2021-09-16 16:07:34.311667 : Epoch  9, Batch    481, Loss  0.871028, Average Loss  0.869648, Time  0.263523
2021-09-16 16:07:37.278242 : Epoch  9, Batch    482, Loss  0.870483, Average Loss  0.869569, Time  0.264604
2021-09-16 16:07:40.286687 : Epoch  9, Batch    483, Loss  0.886526, Average Loss  0.869798, Time  0.265174
2021-09-16 16:07:43.298367 : Epoch  9, Batch    484, Loss  0.880923, Average Loss  0.869900, Time  0.265134
2021-09-16 16:07:46.274127 : Epoch  9, Batch    485, Loss  0.864622, Average Loss  0.869888, Time  0.264401
2021-09-16 16:07:49.250870 : Epoch  9, Batch    486, Loss  0.876305, Average Loss  0.869881, Time  0.265617
2021-09-16 16:07:52.229838 : Epoch  9, Batch    487, Loss  0.857370, Average Loss  0.869792, Time  0.264538
2021-09-16 16:07:55.215806 : Epoch  9, Batch    488, Loss  0.874151, Average Loss  0.869840, Time  0.263950
2021-09-16 16:07:58.205231 : Epoch  9, Batch    489, Loss  0.860909, Average Loss  0.869758, Time  0.264366
2021-09-16 16:08:01.175426 : Epoch  9, Batch    490, Loss  0.865865, Average Loss  0.869749, Time  0.265488
2021-09-16 16:08:04.215325 : Epoch  9, Batch    491, Loss  0.861666, Average Loss  0.869773, Time  0.264944
2021-09-16 16:08:07.203276 : Epoch  9, Batch    492, Loss  0.875100, Average Loss  0.869746, Time  0.265338
2021-09-16 16:08:10.205268 : Epoch  9, Batch    493, Loss  0.887625, Average Loss  0.869767, Time  0.280000
2021-09-16 16:08:13.280410 : Epoch  9, Batch    494, Loss  0.871883, Average Loss  0.869882, Time  0.266529
2021-09-16 16:08:16.278284 : Epoch  9, Batch    495, Loss  0.860978, Average Loss  0.869747, Time  0.263991
2021-09-16 16:08:19.270875 : Epoch  9, Batch    496, Loss  0.892191, Average Loss  0.869904, Time  0.264428
2021-09-16 16:08:22.278020 : Epoch  9, Batch    497, Loss  0.859066, Average Loss  0.869944, Time  0.265047
2021-09-16 16:08:25.250248 : Epoch  9, Batch    498, Loss  0.878502, Average Loss  0.869974, Time  0.264478
2021-09-16 16:08:28.248936 : Epoch  9, Batch    499, Loss  0.885656, Average Loss  0.870025, Time  0.263677
2021-09-16 16:08:31.237438 : Epoch  9, Batch    500, Loss  0.857275, Average Loss  0.870001, Time  0.264999
2021-09-16 16:08:34.218107 : Epoch  9, Batch    501, Loss  0.887931, Average Loss  0.870057, Time  0.264700
2021-09-16 16:08:37.223886 : Epoch  9, Batch    502, Loss  0.868893, Average Loss  0.870016, Time  0.264359
2021-09-16 16:08:40.184336 : Epoch  9, Batch    503, Loss  0.861802, Average Loss  0.869846, Time  0.264187
2021-09-16 16:08:43.188123 : Epoch  9, Batch    504, Loss  0.871930, Average Loss  0.869758, Time  0.265007
2021-09-16 16:08:46.175520 : Epoch  9, Batch    505, Loss  0.850854, Average Loss  0.869677, Time  0.264051
2021-09-16 16:08:49.136485 : Epoch  9, Batch    506, Loss  0.867756, Average Loss  0.869602, Time  0.265592
2021-09-16 16:08:52.126410 : Epoch  9, Batch    507, Loss  0.851965, Average Loss  0.869600, Time  0.264879
2021-09-16 16:08:55.157376 : Epoch  9, Batch    508, Loss  0.875453, Average Loss  0.869488, Time  0.276586
2021-09-16 16:08:58.114131 : Epoch  9, Batch    509, Loss  0.872171, Average Loss  0.869360, Time  0.264454
2021-09-16 16:09:01.073009 : Epoch  9, Batch    510, Loss  0.863240, Average Loss  0.869303, Time  0.264631
2021-09-16 16:09:04.076470 : Epoch  9, Batch    511, Loss  0.878724, Average Loss  0.869323, Time  0.265214
2021-09-16 16:09:07.085135 : Epoch  9, Batch    512, Loss  0.870226, Average Loss  0.869238, Time  0.265049
2021-09-16 16:09:10.060373 : Epoch  9, Batch    513, Loss  0.858474, Average Loss  0.869263, Time  0.264584
2021-09-16 16:09:13.021030 : Epoch  9, Batch    514, Loss  0.875084, Average Loss  0.869237, Time  0.264882
2021-09-16 16:09:15.996721 : Epoch  9, Batch    515, Loss  0.864442, Average Loss  0.869322, Time  0.263560
2021-09-16 16:09:18.966168 : Epoch  9, Batch    516, Loss  0.870930, Average Loss  0.869314, Time  0.263868
2021-09-16 16:09:21.929788 : Epoch  9, Batch    517, Loss  0.874540, Average Loss  0.869371, Time  0.264624
2021-09-16 16:09:24.906804 : Epoch  9, Batch    518, Loss  0.863884, Average Loss  0.869319, Time  0.264412
2021-09-16 16:09:27.859128 : Epoch  9, Batch    519, Loss  0.884421, Average Loss  0.869308, Time  0.263919
2021-09-16 16:09:30.851518 : Epoch  9, Batch    520, Loss  0.880831, Average Loss  0.869491, Time  0.265560
2021-09-16 16:09:33.884789 : Epoch  9, Batch    521, Loss  0.871049, Average Loss  0.869422, Time  0.265671
2021-09-16 16:09:33.946693 : CheckPoint: Validation Loss  0.00030152, Best Loss  0.00029207
2021-09-16 16:09:36.507072 : Epoch  7, Batch   1065, Loss  0.899732, Average Loss  0.868458, Time  0.240021
2021-09-16 16:09:36.927296 : Epoch  9, Batch    522, Loss  0.871767, Average Loss  0.869358, Time  0.264978
2021-09-16 16:09:39.093264 : Epoch  7, Batch   1066, Loss  0.879330, Average Loss  0.868522, Time  0.239453
2021-09-16 16:09:39.913782 : Epoch  9, Batch    523, Loss  0.884076, Average Loss  0.869411, Time  0.273914
2021-09-16 16:09:41.673882 : Epoch  7, Batch   1067, Loss  0.837014, Average Loss  0.868282, Time  0.238786
2021-09-16 16:09:42.905040 : Epoch  9, Batch    524, Loss  0.885434, Average Loss  0.869509, Time  0.264276
2021-09-16 16:09:44.255948 : Epoch  7, Batch   1068, Loss  0.891443, Average Loss  0.868344, Time  0.239153
2021-09-16 16:09:45.891300 : Epoch  9, Batch    525, Loss  0.865869, Average Loss  0.869468, Time  0.264718
2021-09-16 16:09:46.841914 : Epoch  7, Batch   1069, Loss  0.871274, Average Loss  0.868464, Time  0.238751
2021-09-16 16:09:48.866134 : Epoch  9, Batch    526, Loss  0.859092, Average Loss  0.869461, Time  0.266436
2021-09-16 16:09:49.431716 : Epoch  7, Batch   1070, Loss  0.875989, Average Loss  0.868595, Time  0.238451
2021-09-16 16:09:51.869006 : Epoch  9, Batch    527, Loss  0.863676, Average Loss  0.869428, Time  0.264109
2021-09-16 16:09:52.000650 : Epoch  7, Batch   1071, Loss  0.873825, Average Loss  0.868715, Time  0.238403
2021-09-16 16:09:54.559772 : Epoch  7, Batch   1072, Loss  0.911168, Average Loss  0.868819, Time  0.238482
2021-09-16 16:09:54.851560 : Epoch  9, Batch    528, Loss  0.869925, Average Loss  0.869429, Time  0.264568
2021-09-16 16:09:57.134962 : Epoch  7, Batch   1073, Loss  0.860960, Average Loss  0.868876, Time  0.238729
2021-09-16 16:09:57.790548 : Epoch  9, Batch    529, Loss  0.881376, Average Loss  0.869466, Time  0.264678
2021-09-16 16:09:59.708703 : Epoch  7, Batch   1074, Loss  0.889796, Average Loss  0.868931, Time  0.239096
2021-09-16 16:10:00.780455 : Epoch  9, Batch    530, Loss  0.846757, Average Loss  0.869353, Time  0.265434
2021-09-16 16:10:02.294703 : Epoch  7, Batch   1075, Loss  0.879531, Average Loss  0.869035, Time  0.238389
2021-09-16 16:10:03.746308 : Epoch  9, Batch    531, Loss  0.886088, Average Loss  0.869558, Time  0.264062
2021-09-16 16:10:04.875006 : Epoch  7, Batch   1076, Loss  0.876365, Average Loss  0.869041, Time  0.238256
2021-09-16 16:10:06.726759 : Epoch  9, Batch    532, Loss  0.888085, Average Loss  0.869640, Time  0.265531
2021-09-16 16:10:07.455965 : Epoch  7, Batch   1077, Loss  0.867198, Average Loss  0.869120, Time  0.238496
2021-09-16 16:10:09.685975 : Epoch  9, Batch    533, Loss  0.866886, Average Loss  0.869526, Time  0.264388
2021-09-16 16:10:10.031699 : Epoch  7, Batch   1078, Loss  0.849712, Average Loss  0.868963, Time  0.238282
2021-09-16 16:10:12.596012 : Epoch  7, Batch   1079, Loss  0.867889, Average Loss  0.868849, Time  0.238242
2021-09-16 16:10:12.676785 : Epoch  9, Batch    534, Loss  0.857546, Average Loss  0.869501, Time  0.265278
2021-09-16 16:10:15.173210 : Epoch  7, Batch   1080, Loss  0.868647, Average Loss  0.868845, Time  0.238266
2021-09-16 16:10:15.650380 : Epoch  9, Batch    535, Loss  0.847670, Average Loss  0.869382, Time  0.264849
2021-09-16 16:10:17.746853 : Epoch  7, Batch   1081, Loss  0.882735, Average Loss  0.868918, Time  0.238570
2021-09-16 16:10:18.597230 : Epoch  9, Batch    536, Loss  0.868598, Average Loss  0.869490, Time  0.263784
2021-09-16 16:10:20.318102 : Epoch  7, Batch   1082, Loss  0.864191, Average Loss  0.869087, Time  0.239249
2021-09-16 16:10:21.576631 : Epoch  9, Batch    537, Loss  0.871977, Average Loss  0.869399, Time  0.264843
2021-09-16 16:10:22.907443 : Epoch  7, Batch   1083, Loss  0.844427, Average Loss  0.868971, Time  0.239088
2021-09-16 16:10:24.551576 : Epoch  9, Batch    538, Loss  0.860661, Average Loss  0.869436, Time  0.263882
2021-09-16 16:10:25.491955 : Epoch  7, Batch   1084, Loss  0.868038, Average Loss  0.868878, Time  0.238836
2021-09-16 16:10:27.521733 : Epoch  9, Batch    539, Loss  0.861380, Average Loss  0.869466, Time  0.274851
2021-09-16 16:10:28.065034 : Epoch  7, Batch   1085, Loss  0.868018, Average Loss  0.868779, Time  0.238118
2021-09-16 16:10:30.485883 : Epoch  9, Batch    540, Loss  0.854240, Average Loss  0.869434, Time  0.264171
2021-09-16 16:10:30.641102 : Epoch  7, Batch   1086, Loss  0.869572, Average Loss  0.868765, Time  0.238010
2021-09-16 16:10:33.204799 : Epoch  7, Batch   1087, Loss  0.852894, Average Loss  0.868627, Time  0.238426
2021-09-16 16:10:33.505363 : Epoch  9, Batch    541, Loss  0.878924, Average Loss  0.869427, Time  0.264653
2021-09-16 16:10:35.788764 : Epoch  7, Batch   1088, Loss  0.871734, Average Loss  0.868668, Time  0.238314
2021-09-16 16:10:36.454261 : Epoch  9, Batch    542, Loss  0.868980, Average Loss  0.869477, Time  0.264280
2021-09-16 16:10:38.378755 : Epoch  7, Batch   1089, Loss  0.867535, Average Loss  0.868597, Time  0.238243
2021-09-16 16:10:39.416968 : Epoch  9, Batch    543, Loss  0.853691, Average Loss  0.869389, Time  0.264956
2021-09-16 16:10:40.952241 : Epoch  7, Batch   1090, Loss  0.862444, Average Loss  0.868542, Time  0.238561
2021-09-16 16:10:42.418706 : Epoch  9, Batch    544, Loss  0.875112, Average Loss  0.869435, Time  0.264100
2021-09-16 16:10:43.538722 : Epoch  7, Batch   1091, Loss  0.869864, Average Loss  0.868675, Time  0.238303
2021-09-16 16:10:45.380726 : Epoch  9, Batch    545, Loss  0.860053, Average Loss  0.869364, Time  0.264041
2021-09-16 16:10:46.112924 : Epoch  7, Batch   1092, Loss  0.885300, Average Loss  0.868770, Time  0.238400
2021-09-16 16:10:48.365571 : Epoch  9, Batch    546, Loss  0.888146, Average Loss  0.869430, Time  0.264698
2021-09-16 16:10:48.694977 : Epoch  7, Batch   1093, Loss  0.875541, Average Loss  0.868854, Time  0.238883
2021-09-16 16:10:51.247213 : Epoch  7, Batch   1094, Loss  0.867937, Average Loss  0.868851, Time  0.239021
2021-09-16 16:10:51.364216 : Epoch  9, Batch    547, Loss  0.860421, Average Loss  0.869397, Time  0.264133
2021-09-16 16:10:53.826295 : Epoch  7, Batch   1095, Loss  0.901455, Average Loss  0.869055, Time  0.238452
2021-09-16 16:10:54.307781 : Epoch  9, Batch    548, Loss  0.859318, Average Loss  0.869375, Time  0.263830
2021-09-16 16:10:56.405885 : Epoch  7, Batch   1096, Loss  0.850646, Average Loss  0.869041, Time  0.238187
2021-09-16 16:10:57.261981 : Epoch  9, Batch    549, Loss  0.868909, Average Loss  0.869378, Time  0.265578
2021-09-16 16:10:58.983917 : Epoch  7, Batch   1097, Loss  0.863922, Average Loss  0.868989, Time  0.238317
2021-09-16 16:11:00.232888 : Epoch  9, Batch    550, Loss  0.863478, Average Loss  0.869358, Time  0.265318
2021-09-16 16:11:01.560568 : Epoch  7, Batch   1098, Loss  0.874865, Average Loss  0.869129, Time  0.238556
2021-09-16 16:11:03.220169 : Epoch  9, Batch    551, Loss  0.865313, Average Loss  0.869446, Time  0.264945
2021-09-16 16:11:04.139674 : Epoch  7, Batch   1099, Loss  0.870830, Average Loss  0.869055, Time  0.238730
2021-09-16 16:11:06.195002 : Epoch  9, Batch    552, Loss  0.870314, Average Loss  0.869352, Time  0.264959
2021-09-16 16:11:06.745988 : Epoch  7, Batch   1100, Loss  0.852289, Average Loss  0.868921, Time  0.238543
2021-09-16 16:11:09.342718 : Epoch  7, Batch   1101, Loss  0.853596, Average Loss  0.868778, Time  0.238538
2021-09-16 16:11:11.935955 : Epoch  7, Batch   1102, Loss  0.872087, Average Loss  0.868712, Time  0.238610
2021-09-16 16:11:14.530970 : Epoch  7, Batch   1103, Loss  0.892230, Average Loss  0.868987, Time  0.239860
2021-09-16 16:11:17.113972 : Epoch  7, Batch   1104, Loss  0.881654, Average Loss  0.869054, Time  0.238137
2021-09-16 16:11:19.702981 : Epoch  7, Batch   1105, Loss  0.887098, Average Loss  0.869115, Time  0.239078
2021-09-16 16:11:22.277763 : Epoch  7, Batch   1106, Loss  0.855377, Average Loss  0.869003, Time  0.238678
2021-09-16 16:11:24.859817 : Epoch  7, Batch   1107, Loss  0.868665, Average Loss  0.869002, Time  0.238310
2021-09-16 16:11:27.440868 : Epoch  7, Batch   1108, Loss  0.887827, Average Loss  0.869015, Time  0.239488
2021-09-16 16:11:30.036923 : Epoch  7, Batch   1109, Loss  0.872072, Average Loss  0.869005, Time  0.238944
2021-09-16 16:11:32.628928 : Epoch  7, Batch   1110, Loss  0.854096, Average Loss  0.868946, Time  0.239157
2021-09-16 16:11:35.202785 : Epoch  7, Batch   1111, Loss  0.849560, Average Loss  0.868936, Time  0.238234
2021-09-16 16:11:37.792773 : Epoch  7, Batch   1112, Loss  0.876033, Average Loss  0.868999, Time  0.239524
2021-09-16 16:11:40.371888 : Epoch  7, Batch   1113, Loss  0.874029, Average Loss  0.869096, Time  0.238363
2021-09-16 16:11:42.947792 : Epoch  7, Batch   1114, Loss  0.886949, Average Loss  0.869283, Time  0.238246
2021-09-16 16:11:45.529145 : Epoch  7, Batch   1115, Loss  0.891334, Average Loss  0.869388, Time  0.238984
2021-09-16 16:11:48.124873 : Epoch  7, Batch   1116, Loss  0.862164, Average Loss  0.869379, Time  0.238294
2021-09-16 16:11:50.701268 : Epoch  7, Batch   1117, Loss  0.862336, Average Loss  0.869481, Time  0.238143
2021-09-16 16:11:53.275793 : Epoch  7, Batch   1118, Loss  0.866503, Average Loss  0.869527, Time  0.238785
2021-09-16 16:11:55.851902 : Epoch  7, Batch   1119, Loss  0.870289, Average Loss  0.869514, Time  0.238459
2021-09-16 16:11:58.430935 : Epoch  7, Batch   1120, Loss  0.859094, Average Loss  0.869502, Time  0.238774
2021-09-16 16:12:01.013011 : Epoch  7, Batch   1121, Loss  0.861670, Average Loss  0.869524, Time  0.238190
2021-09-16 16:12:03.584147 : Epoch  7, Batch   1122, Loss  0.872339, Average Loss  0.869494, Time  0.238066
2021-09-16 16:12:06.162743 : Epoch  7, Batch   1123, Loss  0.877508, Average Loss  0.869594, Time  0.238490
2021-09-16 16:12:08.734882 : Epoch  7, Batch   1124, Loss  0.861616, Average Loss  0.869495, Time  0.238158
2021-09-16 16:12:11.305988 : Epoch  7, Batch   1125, Loss  0.868817, Average Loss  0.869414, Time  0.238254
2021-09-16 16:12:13.885904 : Epoch  7, Batch   1126, Loss  0.886013, Average Loss  0.869427, Time  0.239217
2021-09-16 16:12:16.463718 : Epoch  7, Batch   1127, Loss  0.851097, Average Loss  0.869304, Time  0.238068
2021-09-16 16:12:19.045721 : Epoch  7, Batch   1128, Loss  0.837241, Average Loss  0.869144, Time  0.238373
2021-09-16 16:12:21.622069 : Epoch  7, Batch   1129, Loss  0.862685, Average Loss  0.869143, Time  0.239110
2021-09-16 16:12:24.208076 : Epoch  7, Batch   1130, Loss  0.859821, Average Loss  0.868971, Time  0.239055
2021-09-16 16:12:26.782868 : Epoch  7, Batch   1131, Loss  0.871289, Average Loss  0.869006, Time  0.238480
2021-09-16 16:12:29.362597 : Epoch  7, Batch   1132, Loss  0.856029, Average Loss  0.868911, Time  0.239310
2021-09-16 16:12:31.932934 : Epoch  7, Batch   1133, Loss  0.859391, Average Loss  0.868829, Time  0.238427
2021-09-16 16:12:34.519699 : Epoch  7, Batch   1134, Loss  0.866054, Average Loss  0.868762, Time  0.238729
2021-09-16 16:12:37.099965 : Epoch  7, Batch   1135, Loss  0.891082, Average Loss  0.868886, Time  0.238438
2021-09-16 16:12:39.692944 : Epoch  7, Batch   1136, Loss  0.883018, Average Loss  0.868994, Time  0.239182
2021-09-16 16:12:42.259299 : Epoch  7, Batch   1137, Loss  0.870705, Average Loss  0.869008, Time  0.238931
2021-09-16 16:12:44.839159 : Epoch  7, Batch   1138, Loss  0.884656, Average Loss  0.869117, Time  0.238721
2021-09-16 16:12:47.429915 : Epoch  7, Batch   1139, Loss  0.881933, Average Loss  0.869123, Time  0.238716
2021-09-16 16:12:50.009799 : Epoch  7, Batch   1140, Loss  0.870054, Average Loss  0.869101, Time  0.238248
2021-09-16 16:12:52.603758 : Epoch  7, Batch   1141, Loss  0.866525, Average Loss  0.869127, Time  0.238185
2021-09-16 16:12:55.186984 : Epoch  7, Batch   1142, Loss  0.861055, Average Loss  0.868916, Time  0.238758
2021-09-16 16:12:57.766238 : Epoch  7, Batch   1143, Loss  0.866602, Average Loss  0.868905, Time  0.238321
2021-09-16 16:13:00.343204 : Epoch  7, Batch   1144, Loss  0.880144, Average Loss  0.868953, Time  0.238417
2021-09-16 16:13:02.925138 : Epoch  7, Batch   1145, Loss  0.865970, Average Loss  0.868977, Time  0.238117
2021-09-16 16:13:05.503968 : Epoch  7, Batch   1146, Loss  0.866695, Average Loss  0.869096, Time  0.238543
2021-09-16 16:13:08.085135 : Epoch  7, Batch   1147, Loss  0.878268, Average Loss  0.869173, Time  0.238359
2021-09-16 16:13:10.655753 : Epoch  7, Batch   1148, Loss  0.872754, Average Loss  0.869190, Time  0.238638
2021-09-16 16:13:13.242569 : Epoch  7, Batch   1149, Loss  0.840365, Average Loss  0.869024, Time  0.238770
2021-09-16 16:13:15.832843 : Epoch  7, Batch   1150, Loss  0.884000, Average Loss  0.869130, Time  0.239545
2021-09-16 16:13:18.410971 : Epoch  7, Batch   1151, Loss  0.871152, Average Loss  0.869209, Time  0.238202
2021-09-16 16:13:20.996033 : Epoch  7, Batch   1152, Loss  0.863055, Average Loss  0.869097, Time  0.239630
2021-09-16 16:13:23.572051 : Epoch  7, Batch   1153, Loss  0.879353, Average Loss  0.869107, Time  0.238716
2021-09-16 16:13:26.151698 : Epoch  7, Batch   1154, Loss  0.874834, Average Loss  0.869217, Time  0.238530
2021-09-16 16:13:28.729958 : Epoch  7, Batch   1155, Loss  0.840145, Average Loss  0.869075, Time  0.238279
2021-09-16 16:13:31.317040 : Epoch  7, Batch   1156, Loss  0.853087, Average Loss  0.868922, Time  0.238863
2021-09-16 16:13:33.907178 : Epoch  7, Batch   1157, Loss  0.881189, Average Loss  0.868889, Time  0.238357
2021-09-16 16:13:36.495280 : Epoch  7, Batch   1158, Loss  0.864452, Average Loss  0.868836, Time  0.238300
2021-09-16 16:13:39.069161 : Epoch  7, Batch   1159, Loss  0.857224, Average Loss  0.868719, Time  0.238407
2021-09-16 16:13:41.653982 : Epoch  7, Batch   1160, Loss  0.885119, Average Loss  0.868800, Time  0.237993
2021-09-16 16:13:44.235119 : Epoch  7, Batch   1161, Loss  0.889665, Average Loss  0.868859, Time  0.238505
2021-09-16 16:13:46.815174 : Epoch  7, Batch   1162, Loss  0.863400, Average Loss  0.868793, Time  0.238118
2021-09-16 16:13:49.395204 : Epoch  7, Batch   1163, Loss  0.871217, Average Loss  0.868752, Time  0.238036
2021-09-16 16:13:51.979814 : Epoch  7, Batch   1164, Loss  0.880391, Average Loss  0.868806, Time  0.238225
2021-09-16 16:15:41.356673 : CheckPoint: Validation Loss  0.00030219, Best Loss  0.00029295
2021-09-16 16:15:44.368703 : Epoch  9, Batch    553, Loss  0.856826, Average Loss  0.869351, Time  0.264318
2021-09-16 16:15:47.374992 : Epoch  9, Batch    554, Loss  0.884625, Average Loss  0.869371, Time  0.264675
2021-09-16 16:15:50.343522 : Epoch  9, Batch    555, Loss  0.868763, Average Loss  0.869409, Time  0.264329
2021-09-16 16:15:53.352706 : Epoch  9, Batch    556, Loss  0.881972, Average Loss  0.869473, Time  0.277427
2021-09-16 16:15:56.309541 : Epoch  9, Batch    557, Loss  0.883015, Average Loss  0.869491, Time  0.264423
2021-09-16 16:15:59.275473 : Epoch  9, Batch    558, Loss  0.898344, Average Loss  0.869598, Time  0.264729
2021-09-16 16:16:02.253082 : Epoch  9, Batch    559, Loss  0.867755, Average Loss  0.869597, Time  0.264782
2021-09-16 16:16:05.228686 : Epoch  9, Batch    560, Loss  0.845259, Average Loss  0.869462, Time  0.264390
2021-09-16 16:16:08.186698 : Epoch  9, Batch    561, Loss  0.869003, Average Loss  0.869573, Time  0.264221
2021-09-16 16:16:11.172467 : Epoch  9, Batch    562, Loss  0.857567, Average Loss  0.869486, Time  0.265314
2021-09-16 16:16:14.164395 : Epoch  9, Batch    563, Loss  0.851830, Average Loss  0.869495, Time  0.263726
2021-09-16 16:16:17.151755 : Epoch  9, Batch    564, Loss  0.871909, Average Loss  0.869467, Time  0.263665
2021-09-16 16:16:20.149080 : Epoch  9, Batch    565, Loss  0.855571, Average Loss  0.869302, Time  0.265229
2021-09-16 16:16:23.114001 : Epoch  9, Batch    566, Loss  0.870225, Average Loss  0.869301, Time  0.264239
2021-09-16 16:16:26.080121 : Epoch  9, Batch    567, Loss  0.874060, Average Loss  0.869281, Time  0.264881
2021-09-16 16:16:29.099312 : Epoch  9, Batch    568, Loss  0.890505, Average Loss  0.869309, Time  0.264473
2021-09-16 16:16:32.098935 : Epoch  9, Batch    569, Loss  0.868229, Average Loss  0.869227, Time  0.264631
2021-09-16 16:16:35.086250 : Epoch  9, Batch    570, Loss  0.861896, Average Loss  0.869207, Time  0.264602
2021-09-16 16:16:38.070408 : Epoch  9, Batch    571, Loss  0.865313, Average Loss  0.869205, Time  0.278716
2021-09-16 16:16:41.067742 : Epoch  9, Batch    572, Loss  0.859898, Average Loss  0.869185, Time  0.264949
2021-09-16 16:16:44.048751 : Epoch  9, Batch    573, Loss  0.850398, Average Loss  0.869036, Time  0.264331
2021-09-16 16:16:47.037997 : Epoch  9, Batch    574, Loss  0.878092, Average Loss  0.868992, Time  0.264022
2021-09-16 16:16:50.013176 : Epoch  9, Batch    575, Loss  0.877279, Average Loss  0.868958, Time  0.264250
2021-09-16 16:16:52.992182 : Epoch  9, Batch    576, Loss  0.867534, Average Loss  0.869037, Time  0.264651
2021-09-16 16:16:56.024547 : Epoch  9, Batch    577, Loss  0.882332, Average Loss  0.869173, Time  0.265953
2021-09-16 16:16:59.062289 : Epoch  9, Batch    578, Loss  0.879744, Average Loss  0.869327, Time  0.265670
2021-09-16 16:17:02.047143 : Epoch  9, Batch    579, Loss  0.871377, Average Loss  0.869315, Time  0.264062
2021-09-16 16:17:05.048047 : Epoch  9, Batch    580, Loss  0.862569, Average Loss  0.869195, Time  0.265861
2021-09-16 16:17:08.026931 : Epoch  9, Batch    581, Loss  0.884679, Average Loss  0.869275, Time  0.264110
2021-09-16 16:17:11.019619 : Epoch  9, Batch    582, Loss  0.857516, Average Loss  0.869226, Time  0.265018
2021-09-16 16:17:14.007200 : Epoch  9, Batch    583, Loss  0.881192, Average Loss  0.869283, Time  0.264642
2021-09-16 16:17:17.004768 : Epoch  9, Batch    584, Loss  0.871084, Average Loss  0.869393, Time  0.265708
2021-09-16 16:17:19.994920 : Epoch  9, Batch    585, Loss  0.863519, Average Loss  0.869346, Time  0.264688
2021-09-16 16:17:22.985630 : Epoch  9, Batch    586, Loss  0.863913, Average Loss  0.869132, Time  0.275696
2021-09-16 16:17:26.072054 : Epoch  9, Batch    587, Loss  0.838176, Average Loss  0.869084, Time  0.265290
2021-09-16 16:17:29.146056 : Epoch  9, Batch    588, Loss  0.878717, Average Loss  0.869179, Time  0.266567
2021-09-16 16:17:32.221715 : Epoch  9, Batch    589, Loss  0.872390, Average Loss  0.869191, Time  0.266511
2021-09-16 16:17:35.313436 : Epoch  9, Batch    590, Loss  0.886003, Average Loss  0.869278, Time  0.266537
2021-09-16 16:17:38.411362 : Epoch  9, Batch    591, Loss  0.880374, Average Loss  0.869439, Time  0.268113
2021-09-16 16:17:41.505804 : Epoch  9, Batch    592, Loss  0.875840, Average Loss  0.869474, Time  0.266581
2021-09-16 16:17:44.580655 : Epoch  9, Batch    593, Loss  0.865234, Average Loss  0.869386, Time  0.266294
2021-09-16 16:17:47.620735 : Epoch  9, Batch    594, Loss  0.859330, Average Loss  0.869173, Time  0.266027
2021-09-16 16:17:50.696685 : Epoch  9, Batch    595, Loss  0.864296, Average Loss  0.869167, Time  0.266244
2021-09-16 16:17:53.665688 : CheckPoint: Validation Loss  0.00029868, Best Loss  0.00029207
2021-09-16 16:17:53.766942 : Epoch  9, Batch    596, Loss  0.880631, Average Loss  0.869245, Time  0.266172
2021-09-16 16:17:56.248048 : Epoch  7, Batch   1165, Loss  0.864499, Average Loss  0.868776, Time  0.239782
2021-09-16 16:17:56.826348 : Epoch  9, Batch    597, Loss  0.863617, Average Loss  0.869316, Time  0.266434
2021-09-16 16:17:58.843381 : Epoch  7, Batch   1166, Loss  0.881682, Average Loss  0.868938, Time  0.238760
2021-09-16 16:17:59.903811 : Epoch  9, Batch    598, Loss  0.862034, Average Loss  0.869239, Time  0.266365
2021-09-16 16:18:01.458742 : Epoch  7, Batch   1167, Loss  0.878254, Average Loss  0.869082, Time  0.239054
2021-09-16 16:18:02.967770 : Epoch  9, Batch    599, Loss  0.863411, Average Loss  0.869229, Time  0.265793
2021-09-16 16:18:04.073215 : Epoch  7, Batch   1168, Loss  0.883644, Average Loss  0.869081, Time  0.239148
2021-09-16 16:18:06.036728 : Epoch  9, Batch    600, Loss  0.870073, Average Loss  0.869241, Time  0.267340
2021-09-16 16:18:06.679941 : Epoch  7, Batch   1169, Loss  0.870241, Average Loss  0.869233, Time  0.237955
2021-09-16 16:18:09.125074 : Epoch  9, Batch    601, Loss  0.890269, Average Loss  0.869414, Time  0.274155
2021-09-16 16:18:09.295226 : Epoch  7, Batch   1170, Loss  0.887674, Average Loss  0.869389, Time  0.238447
2021-09-16 16:18:11.902740 : Epoch  7, Batch   1171, Loss  0.874593, Average Loss  0.869400, Time  0.238164
2021-09-16 16:18:12.221470 : Epoch  9, Batch    602, Loss  0.866354, Average Loss  0.869420, Time  0.267375
2021-09-16 16:18:14.554246 : Epoch  7, Batch   1172, Loss  0.861482, Average Loss  0.869397, Time  0.238094
2021-09-16 16:18:15.297045 : Epoch  9, Batch    603, Loss  0.858130, Average Loss  0.869371, Time  0.267743
2021-09-16 16:18:17.160017 : Epoch  7, Batch   1173, Loss  0.885158, Average Loss  0.869493, Time  0.238733
2021-09-16 16:18:18.386811 : Epoch  9, Batch    604, Loss  0.885584, Average Loss  0.869390, Time  0.269087
2021-09-16 16:18:19.763177 : Epoch  7, Batch   1174, Loss  0.862566, Average Loss  0.869522, Time  0.238812
2021-09-16 16:18:21.483964 : Epoch  9, Batch    605, Loss  0.864263, Average Loss  0.869372, Time  0.267993
2021-09-16 16:18:22.376325 : Epoch  7, Batch   1175, Loss  0.868390, Average Loss  0.869491, Time  0.239646
2021-09-16 16:18:24.552347 : Epoch  9, Batch    606, Loss  0.877703, Average Loss  0.869437, Time  0.265408
2021-09-16 16:18:24.978972 : Epoch  7, Batch   1176, Loss  0.880251, Average Loss  0.869610, Time  0.238106
2021-09-16 16:18:27.579012 : Epoch  7, Batch   1177, Loss  0.875068, Average Loss  0.869672, Time  0.238328
2021-09-16 16:18:27.617976 : Epoch  9, Batch    607, Loss  0.876291, Average Loss  0.869423, Time  0.265307
2021-09-16 16:18:30.185701 : Epoch  7, Batch   1178, Loss  0.868845, Average Loss  0.869653, Time  0.238242
2021-09-16 16:18:30.664089 : Epoch  9, Batch    608, Loss  0.865433, Average Loss  0.869431, Time  0.265387
2021-09-16 16:18:32.794792 : Epoch  7, Batch   1179, Loss  0.859812, Average Loss  0.869586, Time  0.238301
2021-09-16 16:18:33.711940 : Epoch  9, Batch    609, Loss  0.880179, Average Loss  0.869384, Time  0.265793
2021-09-16 16:18:35.407258 : Epoch  7, Batch   1180, Loss  0.877392, Average Loss  0.869633, Time  0.238500
2021-09-16 16:18:36.774340 : Epoch  9, Batch    610, Loss  0.878531, Average Loss  0.869313, Time  0.266229
2021-09-16 16:18:38.020173 : Epoch  7, Batch   1181, Loss  0.866407, Average Loss  0.869650, Time  0.238312
2021-09-16 16:18:39.824247 : Epoch  9, Batch    611, Loss  0.878351, Average Loss  0.869430, Time  0.264721
2021-09-16 16:18:40.624095 : Epoch  7, Batch   1182, Loss  0.865472, Average Loss  0.869566, Time  0.238409
2021-09-16 16:18:42.893173 : Epoch  9, Batch    612, Loss  0.885147, Average Loss  0.869472, Time  0.265405
2021-09-16 16:18:43.238971 : Epoch  7, Batch   1183, Loss  0.886846, Average Loss  0.869704, Time  0.241591
2021-09-16 16:18:45.833981 : Epoch  7, Batch   1184, Loss  0.859101, Average Loss  0.869630, Time  0.239357
2021-09-16 16:18:45.943530 : Epoch  9, Batch    613, Loss  0.886633, Average Loss  0.869529, Time  0.264690
2021-09-16 16:18:48.444944 : Epoch  7, Batch   1185, Loss  0.884636, Average Loss  0.869690, Time  0.240052
2021-09-16 16:18:48.973645 : Epoch  9, Batch    614, Loss  0.845791, Average Loss  0.869310, Time  0.264138
2021-09-16 16:18:51.048850 : Epoch  7, Batch   1186, Loss  0.884610, Average Loss  0.869746, Time  0.239178
2021-09-16 16:18:52.017626 : Epoch  9, Batch    615, Loss  0.890566, Average Loss  0.869376, Time  0.265557
2021-09-16 16:18:53.653847 : Epoch  7, Batch   1187, Loss  0.875009, Average Loss  0.869719, Time  0.238335
2021-09-16 16:18:55.094362 : Epoch  9, Batch    616, Loss  0.877116, Average Loss  0.869381, Time  0.271473
2021-09-16 16:18:56.265002 : Epoch  7, Batch   1188, Loss  0.861350, Average Loss  0.869764, Time  0.239485
2021-09-16 16:18:58.156214 : Epoch  9, Batch    617, Loss  0.863360, Average Loss  0.869344, Time  0.264791
2021-09-16 16:18:58.870368 : Epoch  7, Batch   1189, Loss  0.897375, Average Loss  0.869969, Time  0.238859
2021-09-16 16:19:01.180980 : Epoch  9, Batch    618, Loss  0.854331, Average Loss  0.869112, Time  0.266047
2021-09-16 16:19:01.465966 : Epoch  7, Batch   1190, Loss  0.888334, Average Loss  0.870102, Time  0.238227
2021-09-16 16:19:04.099067 : Epoch  7, Batch   1191, Loss  0.874415, Average Loss  0.870135, Time  0.238721
2021-09-16 16:19:04.211893 : Epoch  9, Batch    619, Loss  0.885187, Average Loss  0.869222, Time  0.265165
2021-09-16 16:19:06.701819 : Epoch  7, Batch   1192, Loss  0.861092, Average Loss  0.870156, Time  0.238806
2021-09-16 16:19:07.271363 : Epoch  9, Batch    620, Loss  0.866330, Average Loss  0.869150, Time  0.264894
2021-09-16 16:19:09.307971 : Epoch  7, Batch   1193, Loss  0.857068, Average Loss  0.870026, Time  0.238184
2021-09-16 16:19:10.361767 : Epoch  9, Batch    621, Loss  0.863226, Average Loss  0.869174, Time  0.265276
2021-09-16 16:19:11.901855 : Epoch  7, Batch   1194, Loss  0.878530, Average Loss  0.870004, Time  0.238401
2021-09-16 16:19:13.405619 : Epoch  9, Batch    622, Loss  0.870253, Average Loss  0.869157, Time  0.264669
2021-09-16 16:19:14.506897 : Epoch  7, Batch   1195, Loss  0.856144, Average Loss  0.869909, Time  0.238267
2021-09-16 16:19:16.465151 : Epoch  9, Batch    623, Loss  0.849335, Average Loss  0.869043, Time  0.264387
2021-09-16 16:19:17.108845 : Epoch  7, Batch   1196, Loss  0.888659, Average Loss  0.870004, Time  0.238201
2021-09-16 16:19:19.513297 : Epoch  9, Batch    624, Loss  0.872436, Average Loss  0.868990, Time  0.265077
2021-09-16 16:19:19.719917 : Epoch  7, Batch   1197, Loss  0.856090, Average Loss  0.870013, Time  0.238470
2021-09-16 16:19:22.313910 : Epoch  7, Batch   1198, Loss  0.873339, Average Loss  0.870007, Time  0.238176
2021-09-16 16:19:22.570934 : Epoch  9, Batch    625, Loss  0.867074, Average Loss  0.869032, Time  0.265302
2021-09-16 16:19:24.921962 : Epoch  7, Batch   1199, Loss  0.855151, Average Loss  0.869881, Time  0.238671
2021-09-16 16:19:25.621832 : Epoch  9, Batch    626, Loss  0.872472, Average Loss  0.868984, Time  0.265470
2021-09-16 16:19:27.531735 : Epoch  7, Batch   1200, Loss  0.868451, Average Loss  0.869871, Time  0.238634
2021-09-16 16:19:28.696831 : Epoch  9, Batch    627, Loss  0.878375, Average Loss  0.868989, Time  0.264711
2021-09-16 16:19:30.148759 : Epoch  7, Batch   1201, Loss  0.862226, Average Loss  0.869750, Time  0.239074
2021-09-16 16:19:31.747855 : Epoch  9, Batch    628, Loss  0.863105, Average Loss  0.868927, Time  0.265534
2021-09-16 16:19:32.756696 : Epoch  7, Batch   1202, Loss  0.844623, Average Loss  0.869688, Time  0.238246
2021-09-16 16:19:34.808631 : Epoch  9, Batch    629, Loss  0.845850, Average Loss  0.868763, Time  0.264221
2021-09-16 16:19:35.371008 : Epoch  7, Batch   1203, Loss  0.879330, Average Loss  0.869638, Time  0.238851
2021-09-16 16:19:37.864303 : Epoch  9, Batch    630, Loss  0.884506, Average Loss  0.868793, Time  0.264468
2021-09-16 16:19:37.985052 : Epoch  7, Batch   1204, Loss  0.870833, Average Loss  0.869638, Time  0.238344
2021-09-16 16:19:40.591082 : Epoch  7, Batch   1205, Loss  0.891012, Average Loss  0.869774, Time  0.238423
2021-09-16 16:19:40.940771 : Epoch  9, Batch    631, Loss  0.880359, Average Loss  0.868887, Time  0.277232
2021-09-16 16:19:43.204931 : Epoch  7, Batch   1206, Loss  0.854802, Average Loss  0.869755, Time  0.238712
2021-09-16 16:19:43.980277 : Epoch  9, Batch    632, Loss  0.868906, Average Loss  0.868750, Time  0.265519
2021-09-16 16:19:45.813872 : Epoch  7, Batch   1207, Loss  0.841854, Average Loss  0.869553, Time  0.238316
2021-09-16 16:19:47.043101 : Epoch  9, Batch    633, Loss  0.861266, Average Loss  0.868704, Time  0.264827
2021-09-16 16:19:48.433292 : Epoch  7, Batch   1208, Loss  0.889911, Average Loss  0.869770, Time  0.238270
2021-09-16 16:19:50.110050 : Epoch  9, Batch    634, Loss  0.870391, Average Loss  0.868721, Time  0.264616
2021-09-16 16:19:51.053709 : Epoch  7, Batch   1209, Loss  0.875732, Average Loss  0.869813, Time  0.239191
2021-09-16 16:19:53.186796 : Epoch  9, Batch    635, Loss  0.866923, Average Loss  0.868678, Time  0.264699
2021-09-16 16:19:53.663050 : Epoch  7, Batch   1210, Loss  0.859211, Average Loss  0.869764, Time  0.238213
2021-09-16 16:19:56.235864 : Epoch  9, Batch    636, Loss  0.862088, Average Loss  0.868700, Time  0.264317
2021-09-16 16:19:56.272847 : Epoch  7, Batch   1211, Loss  0.883691, Average Loss  0.869803, Time  0.239798
2021-09-16 16:19:58.871978 : Epoch  7, Batch   1212, Loss  0.862559, Average Loss  0.869786, Time  0.238515
2021-09-16 16:19:59.292497 : Epoch  9, Batch    637, Loss  0.883783, Average Loss  0.868813, Time  0.265919
2021-09-16 16:20:01.477104 : Epoch  7, Batch   1213, Loss  0.837876, Average Loss  0.869581, Time  0.239560
2021-09-16 16:20:02.346437 : Epoch  9, Batch    638, Loss  0.886462, Average Loss  0.868892, Time  0.263855
2021-09-16 16:20:04.089702 : Epoch  7, Batch   1214, Loss  0.858993, Average Loss  0.869549, Time  0.238582
2021-09-16 16:20:05.419627 : Epoch  9, Batch    639, Loss  0.849216, Average Loss  0.868769, Time  0.269513
2021-09-16 16:20:06.732041 : Epoch  7, Batch   1215, Loss  0.884008, Average Loss  0.869441, Time  0.238379
2021-09-16 16:20:08.475374 : Epoch  9, Batch    640, Loss  0.881548, Average Loss  0.868843, Time  0.264272
2021-09-16 16:20:09.389863 : Epoch  7, Batch   1216, Loss  0.879262, Average Loss  0.869503, Time  0.238624
2021-09-16 16:20:11.526940 : Epoch  9, Batch    641, Loss  0.872456, Average Loss  0.868870, Time  0.264401
2021-09-16 16:20:12.021785 : Epoch  7, Batch   1217, Loss  0.858262, Average Loss  0.869443, Time  0.238695
2021-09-16 16:20:14.586199 : Epoch  9, Batch    642, Loss  0.886633, Average Loss  0.868886, Time  0.264417
2021-09-16 16:20:14.671954 : Epoch  7, Batch   1218, Loss  0.881982, Average Loss  0.869459, Time  0.260081
2021-09-16 16:20:17.275197 : Epoch  7, Batch   1219, Loss  0.888297, Average Loss  0.869495, Time  0.238612
2021-09-16 16:20:17.641358 : Epoch  9, Batch    643, Loss  0.864179, Average Loss  0.868900, Time  0.264695
2021-09-16 16:20:19.882418 : Epoch  7, Batch   1220, Loss  0.873858, Average Loss  0.869523, Time  0.238214
2021-09-16 16:20:20.679644 : Epoch  9, Batch    644, Loss  0.871279, Average Loss  0.868921, Time  0.264260
2021-09-16 16:20:22.496985 : Epoch  7, Batch   1221, Loss  0.894202, Average Loss  0.869656, Time  0.238186
2021-09-16 16:20:23.749919 : Epoch  9, Batch    645, Loss  0.859666, Average Loss  0.868828, Time  0.265055
2021-09-16 16:20:25.119106 : Epoch  7, Batch   1222, Loss  0.870802, Average Loss  0.869667, Time  0.239331
2021-09-16 16:20:26.803857 : Epoch  9, Batch    646, Loss  0.870773, Average Loss  0.868912, Time  0.274126
2021-09-16 16:20:27.717914 : Epoch  7, Batch   1223, Loss  0.872230, Average Loss  0.869603, Time  0.238395
2021-09-16 16:20:29.852350 : Epoch  9, Batch    647, Loss  0.862643, Average Loss  0.868931, Time  0.264880
2021-09-16 16:20:30.320917 : Epoch  7, Batch   1224, Loss  0.864951, Average Loss  0.869667, Time  0.238270
2021-09-16 16:20:32.895256 : Epoch  9, Batch    648, Loss  0.866277, Average Loss  0.868986, Time  0.264427
2021-09-16 16:20:32.912891 : Epoch  7, Batch   1225, Loss  0.883773, Average Loss  0.869822, Time  0.238312
2021-09-16 16:20:35.529164 : Epoch  7, Batch   1226, Loss  0.852217, Average Loss  0.869689, Time  0.238093
2021-09-16 16:20:35.939971 : Epoch  9, Batch    649, Loss  0.877205, Average Loss  0.869028, Time  0.265273
2021-09-16 16:20:38.142936 : Epoch  7, Batch   1227, Loss  0.859166, Average Loss  0.869857, Time  0.238385
2021-09-16 16:20:38.985622 : Epoch  9, Batch    650, Loss  0.861839, Average Loss  0.868924, Time  0.264592
2021-09-16 16:20:40.758021 : Epoch  7, Batch   1228, Loss  0.850999, Average Loss  0.869797, Time  0.238173
2021-09-16 16:20:42.030085 : Epoch  9, Batch    651, Loss  0.868619, Average Loss  0.868944, Time  0.264373
2021-09-16 16:20:44.626098 : Epoch  7, Batch   1230, Loss  0.877232, Average Loss  0.869576, Time  0.238405
2021-09-16 16:20:45.101626 : Epoch  9, Batch    652, Loss  0.871156, Average Loss  0.869056, Time  0.264452
2021-09-16 16:20:47.235951 : Epoch  7, Batch   1231, Loss  0.881600, Average Loss  0.869621, Time  0.238290
2021-09-16 16:20:49.860752 : Epoch  7, Batch   1232, Loss  0.861574, Average Loss  0.869535, Time  0.239075
2021-09-16 16:20:52.476808 : Epoch  7, Batch   1233, Loss  0.872907, Average Loss  0.869588, Time  0.238329
2021-09-16 16:20:55.089964 : Epoch  7, Batch   1234, Loss  0.885408, Average Loss  0.869631, Time  0.238149
2021-09-16 16:20:57.708782 : Epoch  7, Batch   1235, Loss  0.852737, Average Loss  0.869563, Time  0.239533
2021-09-16 16:21:00.326992 : Epoch  7, Batch   1236, Loss  0.870609, Average Loss  0.869579, Time  0.238297
2021-09-16 16:21:02.951094 : Epoch  7, Batch   1237, Loss  0.865508, Average Loss  0.869552, Time  0.238970
2021-09-16 16:21:05.562233 : Epoch  7, Batch   1238, Loss  0.861148, Average Loss  0.869426, Time  0.238802
2021-09-16 16:21:08.164774 : Epoch  7, Batch   1239, Loss  0.868630, Average Loss  0.869451, Time  0.238294
2021-09-16 16:21:10.772314 : Epoch  7, Batch   1240, Loss  0.864720, Average Loss  0.869437, Time  0.238841
2021-09-16 16:21:13.381772 : Epoch  7, Batch   1241, Loss  0.881105, Average Loss  0.869523, Time  0.238127
2021-09-16 16:21:15.983298 : Epoch  7, Batch   1242, Loss  0.864973, Average Loss  0.869507, Time  0.238184
2021-09-16 16:21:18.583878 : Epoch  7, Batch   1243, Loss  0.863935, Average Loss  0.869532, Time  0.238165
2021-09-16 16:21:21.177988 : Epoch  7, Batch   1244, Loss  0.848996, Average Loss  0.869383, Time  0.238071
2021-09-16 16:21:23.791237 : Epoch  7, Batch   1245, Loss  0.878892, Average Loss  0.869442, Time  0.238498
2021-09-16 16:21:26.391952 : Epoch  7, Batch   1246, Loss  0.872937, Average Loss  0.869574, Time  0.238256
2021-09-16 16:21:28.997822 : Epoch  7, Batch   1247, Loss  0.839053, Average Loss  0.869418, Time  0.238455
2021-09-16 16:21:31.604739 : Epoch  7, Batch   1248, Loss  0.856848, Average Loss  0.869494, Time  0.238514
2021-09-16 16:21:34.205040 : Epoch  7, Batch   1249, Loss  0.877503, Average Loss  0.869470, Time  0.240062
2021-09-16 16:21:36.808957 : Epoch  7, Batch   1250, Loss  0.873047, Average Loss  0.869633, Time  0.238169
2021-09-16 16:21:39.418750 : Epoch  7, Batch   1251, Loss  0.862414, Average Loss  0.869579, Time  0.238845
2021-09-16 16:21:42.030788 : Epoch  7, Batch   1252, Loss  0.873192, Average Loss  0.869622, Time  0.239350
2021-09-16 16:21:44.636081 : Epoch  7, Batch   1253, Loss  0.881098, Average Loss  0.869686, Time  0.238168
2021-09-16 16:21:47.234151 : Epoch  7, Batch   1254, Loss  0.877800, Average Loss  0.869777, Time  0.238818
2021-09-16 16:21:49.842894 : Epoch  7, Batch   1255, Loss  0.869265, Average Loss  0.869830, Time  0.238305
2021-09-16 16:21:52.450215 : Epoch  7, Batch   1256, Loss  0.865381, Average Loss  0.869797, Time  0.239051
2021-09-16 16:21:55.085893 : Epoch  7, Batch   1257, Loss  0.858272, Average Loss  0.869773, Time  0.238343
2021-09-16 16:21:57.683067 : Epoch  7, Batch   1258, Loss  0.867048, Average Loss  0.869793, Time  0.239064
2021-09-16 16:22:00.290000 : Epoch  7, Batch   1259, Loss  0.863824, Average Loss  0.869888, Time  0.238627
2021-09-16 16:22:02.901700 : Epoch  7, Batch   1260, Loss  0.889408, Average Loss  0.869991, Time  0.238453
2021-09-16 16:22:05.520936 : Epoch  7, Batch   1261, Loss  0.847768, Average Loss  0.869898, Time  0.239372
2021-09-16 16:22:08.146341 : Epoch  7, Batch   1262, Loss  0.846808, Average Loss  0.869673, Time  0.239220
2021-09-16 16:22:10.757205 : Epoch  7, Batch   1263, Loss  0.866178, Average Loss  0.869645, Time  0.238670
2021-09-16 16:22:13.353347 : Epoch  7, Batch   1264, Loss  0.871314, Average Loss  0.869783, Time  0.238550
2021-09-16 16:25:26.500841 : CheckPoint: Validation Loss  0.00029763, Best Loss  0.00029295
2021-09-16 16:25:29.533969 : Epoch  9, Batch    653, Loss  0.858920, Average Loss  0.868934, Time  0.264522
2021-09-16 16:25:32.585812 : Epoch  9, Batch    654, Loss  0.878564, Average Loss  0.868931, Time  0.264195
2021-09-16 16:25:35.641911 : Epoch  9, Batch    655, Loss  0.876576, Average Loss  0.868978, Time  0.264291
2021-09-16 16:25:38.692066 : Epoch  9, Batch    656, Loss  0.858399, Average Loss  0.868870, Time  0.264985
2021-09-16 16:25:41.739027 : Epoch  9, Batch    657, Loss  0.853014, Average Loss  0.868826, Time  0.264484
2021-09-16 16:25:44.792903 : Epoch  9, Batch    658, Loss  0.861776, Average Loss  0.868961, Time  0.276701
2021-09-16 16:25:47.827881 : Epoch  9, Batch    659, Loss  0.888655, Average Loss  0.869150, Time  0.265505
2021-09-16 16:25:50.883017 : Epoch  9, Batch    660, Loss  0.872779, Average Loss  0.869180, Time  0.264982
2021-09-16 16:25:53.934409 : Epoch  9, Batch    661, Loss  0.868748, Average Loss  0.869314, Time  0.264589
2021-09-16 16:25:56.992411 : Epoch  9, Batch    662, Loss  0.869626, Average Loss  0.869420, Time  0.264212
2021-09-16 16:26:00.056161 : Epoch  9, Batch    663, Loss  0.872573, Average Loss  0.869408, Time  0.270642
2021-09-16 16:26:03.098043 : Epoch  9, Batch    664, Loss  0.864799, Average Loss  0.869225, Time  0.264912
2021-09-16 16:26:06.171387 : Epoch  9, Batch    665, Loss  0.865069, Average Loss  0.869240, Time  0.264632
2021-09-16 16:26:09.211376 : Epoch  9, Batch    666, Loss  0.870379, Average Loss  0.869453, Time  0.264981
2021-09-16 16:26:12.257646 : Epoch  9, Batch    667, Loss  0.872616, Average Loss  0.869450, Time  0.264369
2021-09-16 16:26:15.303534 : Epoch  9, Batch    668, Loss  0.855076, Average Loss  0.869366, Time  0.264802
2021-09-16 16:26:15.401709 : CheckPoint: Validation Loss  0.00029956, Best Loss  0.00029207
2021-09-16 16:26:17.977715 : Epoch  7, Batch   1265, Loss  0.869168, Average Loss  0.869631, Time  0.239897
2021-09-16 16:26:18.335604 : Epoch  9, Batch    669, Loss  0.857836, Average Loss  0.869402, Time  0.264335
2021-09-16 16:26:20.584945 : Epoch  7, Batch   1266, Loss  0.862279, Average Loss  0.869545, Time  0.238290
2021-09-16 16:26:21.364341 : Epoch  9, Batch    670, Loss  0.862432, Average Loss  0.869494, Time  0.264697
2021-09-16 16:26:23.191915 : Epoch  7, Batch   1267, Loss  0.862564, Average Loss  0.869673, Time  0.238642
2021-09-16 16:26:24.419885 : Epoch  9, Batch    671, Loss  0.890906, Average Loss  0.869626, Time  0.266046
2021-09-16 16:26:25.808977 : Epoch  7, Batch   1268, Loss  0.859653, Average Loss  0.869514, Time  0.238183
2021-09-16 16:26:27.469799 : Epoch  9, Batch    672, Loss  0.857965, Average Loss  0.869621, Time  0.266093
2021-09-16 16:26:28.417002 : Epoch  7, Batch   1269, Loss  0.884673, Average Loss  0.869581, Time  0.239147
2021-09-16 16:26:30.539172 : Epoch  9, Batch    673, Loss  0.862426, Average Loss  0.869703, Time  0.278467
2021-09-16 16:26:31.021001 : Epoch  7, Batch   1270, Loss  0.871293, Average Loss  0.869558, Time  0.238423
2021-09-16 16:26:33.602512 : Epoch  9, Batch    674, Loss  0.876024, Average Loss  0.869725, Time  0.264839
2021-09-16 16:26:33.616159 : Epoch  7, Batch   1271, Loss  0.897932, Average Loss  0.869678, Time  0.238862
2021-09-16 16:26:36.231745 : Epoch  7, Batch   1272, Loss  0.868894, Average Loss  0.869467, Time  0.239002
2021-09-16 16:26:36.669959 : Epoch  9, Batch    675, Loss  0.853931, Average Loss  0.869554, Time  0.264497
2021-09-16 16:26:38.834172 : Epoch  7, Batch   1273, Loss  0.853989, Average Loss  0.869432, Time  0.238224
2021-09-16 16:26:39.711231 : Epoch  9, Batch    676, Loss  0.884135, Average Loss  0.869670, Time  0.264576
2021-09-16 16:26:41.435051 : Epoch  7, Batch   1274, Loss  0.863388, Average Loss  0.869300, Time  0.238770
2021-09-16 16:26:42.767963 : Epoch  9, Batch    677, Loss  0.879272, Average Loss  0.869802, Time  0.264249
2021-09-16 16:26:44.045257 : Epoch  7, Batch   1275, Loss  0.886510, Average Loss  0.869335, Time  0.238318
2021-09-16 16:26:45.812438 : Epoch  9, Batch    678, Loss  0.868733, Average Loss  0.869817, Time  0.264880
2021-09-16 16:26:46.643232 : Epoch  7, Batch   1276, Loss  0.858830, Average Loss  0.869247, Time  0.238500
2021-09-16 16:26:48.856063 : Epoch  9, Batch    679, Loss  0.854685, Average Loss  0.869649, Time  0.265136
2021-09-16 16:26:49.251188 : Epoch  7, Batch   1277, Loss  0.873587, Average Loss  0.869279, Time  0.238528
2021-09-16 16:26:51.841035 : Epoch  7, Batch   1278, Loss  0.874125, Average Loss  0.869401, Time  0.238371
2021-09-16 16:26:51.898782 : Epoch  9, Batch    680, Loss  0.893147, Average Loss  0.869777, Time  0.265367
2021-09-16 16:26:54.451094 : Epoch  7, Batch   1279, Loss  0.867627, Average Loss  0.869400, Time  0.238109
2021-09-16 16:26:54.974968 : Epoch  9, Batch    681, Loss  0.886446, Average Loss  0.869854, Time  0.265684
2021-09-16 16:26:57.055018 : Epoch  7, Batch   1280, Loss  0.866906, Average Loss  0.869391, Time  0.238482
2021-09-16 16:26:58.017294 : Epoch  9, Batch    682, Loss  0.838095, Average Loss  0.869692, Time  0.265105
2021-09-16 16:26:59.670123 : Epoch  7, Batch   1281, Loss  0.886594, Average Loss  0.869410, Time  0.239356
2021-09-16 16:27:01.094455 : Epoch  9, Batch    683, Loss  0.903715, Average Loss  0.869778, Time  0.264718
2021-09-16 16:27:02.280252 : Epoch  7, Batch   1282, Loss  0.866670, Average Loss  0.869423, Time  0.238748
2021-09-16 16:27:04.139863 : Epoch  9, Batch    684, Loss  0.873288, Average Loss  0.869740, Time  0.265608
2021-09-16 16:27:04.884074 : Epoch  7, Batch   1283, Loss  0.875562, Average Loss  0.869578, Time  0.238515
2021-09-16 16:27:07.195563 : Epoch  9, Batch    685, Loss  0.874827, Average Loss  0.869791, Time  0.265484
2021-09-16 16:27:07.499045 : Epoch  7, Batch   1284, Loss  0.870752, Average Loss  0.869592, Time  0.238621
2021-09-16 16:27:10.105034 : Epoch  7, Batch   1285, Loss  0.869845, Average Loss  0.869601, Time  0.238104
2021-09-16 16:27:10.247432 : Epoch  9, Batch    686, Loss  0.873186, Average Loss  0.869775, Time  0.267218
2021-09-16 16:27:12.712155 : Epoch  7, Batch   1286, Loss  0.864770, Average Loss  0.869577, Time  0.238574
2021-09-16 16:27:13.340819 : Epoch  9, Batch    687, Loss  0.862412, Average Loss  0.869800, Time  0.265170
2021-09-16 16:27:15.317007 : Epoch  7, Batch   1287, Loss  0.863304, Average Loss  0.869629, Time  0.238132
2021-09-16 16:27:16.409153 : Epoch  9, Batch    688, Loss  0.852458, Average Loss  0.869692, Time  0.275002
2021-09-16 16:27:17.919574 : Epoch  7, Batch   1288, Loss  0.863508, Average Loss  0.869588, Time  0.238225
2021-09-16 16:27:19.467035 : Epoch  9, Batch    689, Loss  0.857230, Average Loss  0.869673, Time  0.264396
2021-09-16 16:27:20.517677 : Epoch  7, Batch   1289, Loss  0.856329, Average Loss  0.869532, Time  0.239485
2021-09-16 16:27:22.525191 : Epoch  9, Batch    690, Loss  0.885402, Average Loss  0.869771, Time  0.264327
2021-09-16 16:27:23.136766 : Epoch  7, Batch   1290, Loss  0.856558, Average Loss  0.869503, Time  0.238960
2021-09-16 16:27:25.560873 : Epoch  9, Batch    691, Loss  0.857761, Average Loss  0.869751, Time  0.264742
2021-09-16 16:27:25.746204 : Epoch  7, Batch   1291, Loss  0.870713, Average Loss  0.869507, Time  0.239507
2021-09-16 16:27:28.357413 : Epoch  7, Batch   1292, Loss  0.857854, Average Loss  0.869370, Time  0.239614
2021-09-16 16:27:28.617232 : Epoch  9, Batch    692, Loss  0.878356, Average Loss  0.869768, Time  0.265365
2021-09-16 16:27:30.964966 : Epoch  7, Batch   1293, Loss  0.843383, Average Loss  0.869209, Time  0.238540
2021-09-16 16:27:31.648025 : Epoch  9, Batch    693, Loss  0.874772, Average Loss  0.869703, Time  0.265180
2021-09-16 16:27:33.592785 : Epoch  7, Batch   1294, Loss  0.866305, Average Loss  0.869201, Time  0.238887
2021-09-16 16:27:34.696003 : Epoch  9, Batch    694, Loss  0.854993, Average Loss  0.869619, Time  0.264814
2021-09-16 16:27:36.230731 : Epoch  7, Batch   1295, Loss  0.863527, Average Loss  0.869011, Time  0.239019
2021-09-16 16:27:37.754038 : Epoch  9, Batch    695, Loss  0.873554, Average Loss  0.869682, Time  0.264076
2021-09-16 16:27:38.860816 : Epoch  7, Batch   1296, Loss  0.843027, Average Loss  0.868973, Time  0.238224
2021-09-16 16:27:40.797632 : Epoch  9, Batch    696, Loss  0.868072, Average Loss  0.869561, Time  0.264626
2021-09-16 16:27:41.474094 : Epoch  7, Batch   1297, Loss  0.874257, Average Loss  0.869025, Time  0.238971
2021-09-16 16:27:43.851195 : Epoch  9, Batch    697, Loss  0.858295, Average Loss  0.869557, Time  0.264803
2021-09-16 16:27:44.083681 : Epoch  7, Batch   1298, Loss  0.868941, Average Loss  0.868995, Time  0.238490
2021-09-16 16:27:46.691761 : Epoch  7, Batch   1299, Loss  0.862922, Average Loss  0.868955, Time  0.238594
2021-09-16 16:27:46.893524 : Epoch  9, Batch    698, Loss  0.863060, Average Loss  0.869480, Time  0.264582
2021-09-16 16:27:49.306769 : Epoch  7, Batch   1300, Loss  0.853287, Average Loss  0.868960, Time  0.238669
2021-09-16 16:27:49.931490 : Epoch  9, Batch    699, Loss  0.862373, Average Loss  0.869364, Time  0.264576
2021-09-16 16:27:51.907251 : Epoch  7, Batch   1301, Loss  0.873740, Average Loss  0.869061, Time  0.238311
2021-09-16 16:27:52.985170 : Epoch  9, Batch    700, Loss  0.847958, Average Loss  0.869317, Time  0.264696
2021-09-16 16:27:54.516055 : Epoch  7, Batch   1302, Loss  0.854038, Average Loss  0.868971, Time  0.238780
2021-09-16 16:27:56.048858 : Epoch  9, Batch    701, Loss  0.860147, Average Loss  0.869178, Time  0.264385
2021-09-16 16:27:57.197690 : Epoch  7, Batch   1303, Loss  0.865887, Average Loss  0.868839, Time  0.238237
2021-09-16 16:27:59.097726 : Epoch  9, Batch    702, Loss  0.887545, Average Loss  0.869272, Time  0.264293
2021-09-16 16:27:59.800080 : Epoch  7, Batch   1304, Loss  0.864490, Average Loss  0.868753, Time  0.238578
2021-09-16 16:28:02.151729 : Epoch  9, Batch    703, Loss  0.855582, Average Loss  0.869240, Time  0.276590
2021-09-16 16:28:02.516846 : Epoch  7, Batch   1305, Loss  0.865929, Average Loss  0.868648, Time  0.238354
2021-09-16 16:28:05.117966 : Epoch  7, Batch   1306, Loss  0.886914, Average Loss  0.868805, Time  0.238594
2021-09-16 16:28:05.210386 : Epoch  9, Batch    704, Loss  0.875356, Average Loss  0.869258, Time  0.265395
2021-09-16 16:28:07.724992 : Epoch  7, Batch   1307, Loss  0.881718, Average Loss  0.868871, Time  0.238528
2021-09-16 16:28:08.253327 : Epoch  9, Batch    705, Loss  0.871398, Average Loss  0.869360, Time  0.264813
2021-09-16 16:28:10.392881 : Epoch  7, Batch   1308, Loss  0.873100, Average Loss  0.868797, Time  0.238822
2021-09-16 16:28:11.296285 : Epoch  9, Batch    706, Loss  0.873701, Average Loss  0.869390, Time  0.265216
2021-09-16 16:28:12.994177 : Epoch  7, Batch   1309, Loss  0.845783, Average Loss  0.868665, Time  0.238800
2021-09-16 16:28:14.354547 : Epoch  9, Batch    707, Loss  0.859394, Average Loss  0.869427, Time  0.264989
2021-09-16 16:28:15.606702 : Epoch  7, Batch   1310, Loss  0.865078, Average Loss  0.868720, Time  0.238480
2021-09-16 16:28:17.402262 : Epoch  9, Batch    708, Loss  0.869002, Average Loss  0.869395, Time  0.265649
2021-09-16 16:28:18.219971 : Epoch  7, Batch   1311, Loss  0.883273, Average Loss  0.868889, Time  0.238374
2021-09-16 16:28:20.465751 : Epoch  9, Batch    709, Loss  0.872196, Average Loss  0.869395, Time  0.265082
2021-09-16 16:28:20.835704 : Epoch  7, Batch   1312, Loss  0.868736, Average Loss  0.868852, Time  0.238364
2021-09-16 16:28:23.433306 : Epoch  7, Batch   1313, Loss  0.855861, Average Loss  0.868762, Time  0.238778
2021-09-16 16:28:23.528873 : Epoch  9, Batch    710, Loss  0.869663, Average Loss  0.869427, Time  0.265353
2021-09-16 16:28:26.039277 : Epoch  7, Batch   1314, Loss  0.886389, Average Loss  0.868759, Time  0.239567
2021-09-16 16:28:26.567535 : Epoch  9, Batch    711, Loss  0.859569, Average Loss  0.869331, Time  0.265044
2021-09-16 16:28:28.652102 : Epoch  7, Batch   1315, Loss  0.837433, Average Loss  0.868489, Time  0.239177
2021-09-16 16:28:29.612053 : Epoch  9, Batch    712, Loss  0.863408, Average Loss  0.869297, Time  0.264940
2021-09-16 16:28:31.266016 : Epoch  7, Batch   1316, Loss  0.842002, Average Loss  0.868388, Time  0.239717
2021-09-16 16:28:32.664216 : Epoch  9, Batch    713, Loss  0.846699, Average Loss  0.869238, Time  0.266404
2021-09-16 16:28:33.869005 : Epoch  7, Batch   1317, Loss  0.875431, Average Loss  0.868454, Time  0.238817
2021-09-16 16:28:35.714246 : Epoch  9, Batch    714, Loss  0.878653, Average Loss  0.869256, Time  0.264474
2021-09-16 16:28:36.485758 : Epoch  7, Batch   1318, Loss  0.872724, Average Loss  0.868485, Time  0.239384
2021-09-16 16:28:38.771035 : Epoch  9, Batch    715, Loss  0.848735, Average Loss  0.869178, Time  0.267653
2021-09-16 16:28:39.101867 : Epoch  7, Batch   1319, Loss  0.861091, Average Loss  0.868439, Time  0.238484
2021-09-16 16:28:41.701695 : Epoch  7, Batch   1320, Loss  0.874938, Average Loss  0.868518, Time  0.238429
2021-09-16 16:28:41.846996 : Epoch  9, Batch    716, Loss  0.882254, Average Loss  0.869234, Time  0.265432
2021-09-16 16:28:44.321957 : Epoch  7, Batch   1321, Loss  0.858556, Average Loss  0.868503, Time  0.238374
2021-09-16 16:28:44.890544 : Epoch  9, Batch    717, Loss  0.867483, Average Loss  0.869199, Time  0.264853
2021-09-16 16:28:46.932690 : Epoch  7, Batch   1322, Loss  0.861093, Average Loss  0.868446, Time  0.238614
2021-09-16 16:28:47.958816 : Epoch  9, Batch    718, Loss  0.860772, Average Loss  0.869184, Time  0.276603
2021-09-16 16:28:49.552312 : Epoch  7, Batch   1323, Loss  0.861861, Average Loss  0.868368, Time  0.238276
2021-09-16 16:28:51.005146 : Epoch  9, Batch    719, Loss  0.898034, Average Loss  0.869252, Time  0.265678
2021-09-16 16:28:52.196603 : Epoch  7, Batch   1324, Loss  0.875342, Average Loss  0.868437, Time  0.238959
2021-09-16 16:28:54.057546 : Epoch  9, Batch    720, Loss  0.891697, Average Loss  0.869306, Time  0.265561
2021-09-16 16:28:54.814699 : Epoch  7, Batch   1325, Loss  0.866441, Average Loss  0.868425, Time  0.238701
2021-09-16 16:28:57.121317 : Epoch  9, Batch    721, Loss  0.884293, Average Loss  0.869372, Time  0.264742
2021-09-16 16:28:57.425000 : Epoch  7, Batch   1326, Loss  0.858716, Average Loss  0.868289, Time  0.238611
2021-09-16 16:29:00.050699 : Epoch  7, Batch   1327, Loss  0.856815, Average Loss  0.868317, Time  0.238095
2021-09-16 16:29:00.203747 : Epoch  9, Batch    722, Loss  0.849773, Average Loss  0.869262, Time  0.264581
2021-09-16 16:29:02.670047 : Epoch  7, Batch   1328, Loss  0.879292, Average Loss  0.868527, Time  0.238545
2021-09-16 16:29:03.252407 : Epoch  9, Batch    723, Loss  0.875083, Average Loss  0.869217, Time  0.266154
2021-09-16 16:29:05.293982 : Epoch  7, Batch   1329, Loss  0.862635, Average Loss  0.868527, Time  0.238507
2021-09-16 16:29:06.313061 : Epoch  9, Batch    724, Loss  0.863168, Average Loss  0.869106, Time  0.265098
2021-09-16 16:29:07.911175 : Epoch  7, Batch   1330, Loss  0.870877, Average Loss  0.868582, Time  0.238293
2021-09-16 16:29:09.377690 : Epoch  9, Batch    725, Loss  0.842275, Average Loss  0.868988, Time  0.265171
2021-09-16 16:29:10.524085 : Epoch  7, Batch   1331, Loss  0.862322, Average Loss  0.868538, Time  0.238795
2021-09-16 16:29:12.445227 : Epoch  9, Batch    726, Loss  0.866053, Average Loss  0.869023, Time  0.265934
2021-09-16 16:29:13.175079 : Epoch  7, Batch   1332, Loss  0.874504, Average Loss  0.868630, Time  0.260178
2021-09-16 16:29:15.516856 : Epoch  9, Batch    727, Loss  0.873523, Average Loss  0.869072, Time  0.264937
2021-09-16 16:29:15.789092 : Epoch  7, Batch   1333, Loss  0.857314, Average Loss  0.868620, Time  0.239011
2021-09-16 16:29:18.390965 : Epoch  7, Batch   1334, Loss  0.852591, Average Loss  0.868552, Time  0.238447
2021-09-16 16:29:18.572015 : Epoch  9, Batch    728, Loss  0.860585, Average Loss  0.869025, Time  0.265225
2021-09-16 16:29:20.994012 : Epoch  7, Batch   1335, Loss  0.861908, Average Loss  0.868406, Time  0.238901
2021-09-16 16:29:21.610029 : Epoch  9, Batch    729, Loss  0.860070, Average Loss  0.868919, Time  0.266701
2021-09-16 16:29:23.599693 : Epoch  7, Batch   1336, Loss  0.857811, Average Loss  0.868280, Time  0.238466
2021-09-16 16:29:24.660274 : Epoch  9, Batch    730, Loss  0.851828, Average Loss  0.868944, Time  0.265074
2021-09-16 16:29:26.210967 : Epoch  7, Batch   1337, Loss  0.864081, Average Loss  0.868247, Time  0.238268
2021-09-16 16:29:27.705804 : Epoch  9, Batch    731, Loss  0.870926, Average Loss  0.868868, Time  0.264642
2021-09-16 16:29:28.825705 : Epoch  7, Batch   1338, Loss  0.886752, Average Loss  0.868258, Time  0.238663
2021-09-16 16:29:30.756811 : Epoch  9, Batch    732, Loss  0.872122, Average Loss  0.868788, Time  0.264827
2021-09-16 16:29:31.447739 : Epoch  7, Batch   1339, Loss  0.854241, Average Loss  0.868119, Time  0.239688
2021-09-16 16:29:33.818031 : Epoch  9, Batch    733, Loss  0.859755, Average Loss  0.868753, Time  0.273529
2021-09-16 16:29:34.063997 : Epoch  7, Batch   1340, Loss  0.882014, Average Loss  0.868179, Time  0.238707
2021-09-16 16:29:36.661849 : Epoch  7, Batch   1341, Loss  0.873010, Average Loss  0.868211, Time  0.239177
2021-09-16 16:29:36.874403 : Epoch  9, Batch    734, Loss  0.863990, Average Loss  0.868785, Time  0.264759
2021-09-16 16:29:39.271808 : Epoch  7, Batch   1342, Loss  0.869128, Average Loss  0.868252, Time  0.238546
2021-09-16 16:29:39.926446 : Epoch  9, Batch    735, Loss  0.858874, Average Loss  0.868841, Time  0.265280
2021-09-16 16:29:41.878010 : Epoch  7, Batch   1343, Loss  0.879575, Average Loss  0.868317, Time  0.238342
2021-09-16 16:29:42.987110 : Epoch  9, Batch    736, Loss  0.881839, Average Loss  0.868907, Time  0.265066
2021-09-16 16:29:44.488726 : Epoch  7, Batch   1344, Loss  0.869211, Average Loss  0.868262, Time  0.238737
2021-09-16 16:29:46.079266 : Epoch  9, Batch    737, Loss  0.864044, Average Loss  0.868868, Time  0.265245
2021-09-16 16:29:47.100998 : Epoch  7, Batch   1345, Loss  0.853082, Average Loss  0.868198, Time  0.238337
2021-09-16 16:29:49.139908 : Epoch  9, Batch    738, Loss  0.875018, Average Loss  0.868939, Time  0.264818
2021-09-16 16:29:49.708936 : Epoch  7, Batch   1346, Loss  0.868536, Average Loss  0.868207, Time  0.238396
2021-09-16 16:29:52.189534 : Epoch  9, Batch    739, Loss  0.884984, Average Loss  0.869057, Time  0.265144
2021-09-16 16:29:52.321856 : Epoch  7, Batch   1347, Loss  0.866698, Average Loss  0.868149, Time  0.238510
2021-09-16 16:29:54.917710 : Epoch  7, Batch   1348, Loss  0.866262, Average Loss  0.868116, Time  0.238213
2021-09-16 16:29:55.249371 : Epoch  9, Batch    740, Loss  0.871252, Average Loss  0.869142, Time  0.265096
2021-09-16 16:29:57.517968 : Epoch  7, Batch   1349, Loss  0.859747, Average Loss  0.868213, Time  0.238462
2021-09-16 16:29:58.295494 : Epoch  9, Batch    741, Loss  0.854599, Average Loss  0.869021, Time  0.264738
2021-09-16 16:30:00.182923 : Epoch  7, Batch   1350, Loss  0.865830, Average Loss  0.868123, Time  0.238029
2021-09-16 16:30:01.366537 : Epoch  9, Batch    742, Loss  0.877663, Average Loss  0.869064, Time  0.264868
2021-09-16 16:30:02.806963 : Epoch  7, Batch   1351, Loss  0.885590, Average Loss  0.868195, Time  0.239188
2021-09-16 16:30:04.444650 : Epoch  9, Batch    743, Loss  0.854516, Average Loss  0.869068, Time  0.267562
2021-09-16 16:30:05.419207 : Epoch  7, Batch   1352, Loss  0.865595, Average Loss  0.868207, Time  0.238320
2021-09-16 16:30:07.496813 : Epoch  9, Batch    744, Loss  0.864494, Average Loss  0.869015, Time  0.265203
2021-09-16 16:30:08.025823 : Epoch  7, Batch   1353, Loss  0.865294, Average Loss  0.868137, Time  0.238352
2021-09-16 16:30:10.554287 : Epoch  9, Batch    745, Loss  0.866135, Average Loss  0.869046, Time  0.264648
2021-09-16 16:30:10.639091 : Epoch  7, Batch   1354, Loss  0.877863, Average Loss  0.868152, Time  0.238486
2021-09-16 16:30:13.239762 : Epoch  7, Batch   1355, Loss  0.871748, Average Loss  0.868310, Time  0.238186
2021-09-16 16:30:13.602353 : Epoch  9, Batch    746, Loss  0.877443, Average Loss  0.868992, Time  0.264963
2021-09-16 16:30:15.854781 : Epoch  7, Batch   1356, Loss  0.868319, Average Loss  0.868386, Time  0.238361
2021-09-16 16:30:16.634306 : Epoch  9, Batch    747, Loss  0.847131, Average Loss  0.868926, Time  0.264539
2021-09-16 16:30:18.470812 : Epoch  7, Batch   1357, Loss  0.858606, Average Loss  0.868274, Time  0.237997
2021-09-16 16:30:19.699939 : Epoch  9, Batch    748, Loss  0.876553, Average Loss  0.869012, Time  0.276473
2021-09-16 16:30:21.076538 : Epoch  7, Batch   1358, Loss  0.898320, Average Loss  0.868443, Time  0.238503
2021-09-16 16:30:22.759239 : Epoch  9, Batch    749, Loss  0.885060, Average Loss  0.869093, Time  0.265021
2021-09-16 16:30:23.685245 : Epoch  7, Batch   1359, Loss  0.876918, Average Loss  0.868541, Time  0.237948
2021-09-16 16:30:25.812154 : Epoch  9, Batch    750, Loss  0.865412, Average Loss  0.869102, Time  0.265602
2021-09-16 16:30:26.344982 : Epoch  7, Batch   1360, Loss  0.859280, Average Loss  0.868412, Time  0.238445
2021-09-16 16:30:28.852980 : Epoch  9, Batch    751, Loss  0.881893, Average Loss  0.869185, Time  0.264425
2021-09-16 16:30:28.955035 : Epoch  7, Batch   1361, Loss  0.877968, Average Loss  0.868354, Time  0.238608
2021-09-16 16:30:31.552320 : Epoch  7, Batch   1362, Loss  0.857599, Average Loss  0.868325, Time  0.239383
2021-09-16 16:30:31.905450 : Epoch  9, Batch    752, Loss  0.858877, Average Loss  0.869128, Time  0.266667
2021-09-16 16:30:34.164053 : Epoch  7, Batch   1363, Loss  0.877289, Average Loss  0.868355, Time  0.238783
2021-09-16 16:30:36.786849 : Epoch  7, Batch   1364, Loss  0.859710, Average Loss  0.868252, Time  0.239649
2021-09-16 16:34:37.224706 : CheckPoint: Validation Loss  0.00030107, Best Loss  0.00029207
2021-09-16 16:34:39.809767 : Epoch  7, Batch   1365, Loss  0.873589, Average Loss  0.868297, Time  0.240109
2021-09-16 16:34:42.393769 : Epoch  7, Batch   1366, Loss  0.885170, Average Loss  0.868315, Time  0.238112
2021-09-16 16:34:44.969517 : Epoch  7, Batch   1367, Loss  0.905852, Average Loss  0.868452, Time  0.238768
2021-09-16 16:34:47.548159 : Epoch  7, Batch   1368, Loss  0.868447, Average Loss  0.868377, Time  0.238069
2021-09-16 16:34:50.130717 : Epoch  7, Batch   1369, Loss  0.879818, Average Loss  0.868424, Time  0.238286
2021-09-16 16:34:52.712963 : Epoch  7, Batch   1370, Loss  0.873786, Average Loss  0.868355, Time  0.238346
2021-09-16 16:34:55.300693 : Epoch  7, Batch   1371, Loss  0.884055, Average Loss  0.868402, Time  0.238589
2021-09-16 16:34:57.884505 : Epoch  7, Batch   1372, Loss  0.871681, Average Loss  0.868453, Time  0.238781
2021-09-16 16:35:00.466714 : Epoch  7, Batch   1373, Loss  0.872384, Average Loss  0.868389, Time  0.238534
2021-09-16 16:35:03.043413 : Epoch  7, Batch   1374, Loss  0.859712, Average Loss  0.868375, Time  0.238780
2021-09-16 16:35:05.625992 : Epoch  7, Batch   1375, Loss  0.876478, Average Loss  0.868416, Time  0.238121
2021-09-16 16:35:08.214360 : Epoch  7, Batch   1376, Loss  0.863419, Average Loss  0.868331, Time  0.239501
2021-09-16 16:35:10.796965 : Epoch  7, Batch   1377, Loss  0.849509, Average Loss  0.868204, Time  0.238680
2021-09-16 16:35:13.384014 : Epoch  7, Batch   1378, Loss  0.877402, Average Loss  0.868246, Time  0.238720
2021-09-16 16:35:14.943775 : CheckPoint: Validation Loss  0.00029332, Best Loss  0.00029295
2021-09-16 16:35:15.963984 : Epoch  7, Batch   1379, Loss  0.895288, Average Loss  0.868424, Time  0.238573
2021-09-16 16:35:18.011039 : Epoch  9, Batch    753, Loss  0.870976, Average Loss  0.869199, Time  0.276299
2021-09-16 16:35:18.554167 : Epoch  7, Batch   1380, Loss  0.903055, Average Loss  0.868552, Time  0.238278
2021-09-16 16:35:21.063772 : Epoch  9, Batch    754, Loss  0.873882, Average Loss  0.869145, Time  0.264963
2021-09-16 16:35:21.134013 : Epoch  7, Batch   1381, Loss  0.868852, Average Loss  0.868564, Time  0.238642
2021-09-16 16:35:23.716701 : Epoch  7, Batch   1382, Loss  0.884786, Average Loss  0.868661, Time  0.239188
2021-09-16 16:35:24.123248 : Epoch  9, Batch    755, Loss  0.849281, Average Loss  0.869048, Time  0.265085
2021-09-16 16:35:26.306769 : Epoch  7, Batch   1383, Loss  0.879576, Average Loss  0.868625, Time  0.238712
2021-09-16 16:35:27.169303 : Epoch  9, Batch    756, Loss  0.874884, Average Loss  0.869012, Time  0.264735
2021-09-16 16:35:28.934754 : Epoch  7, Batch   1384, Loss  0.864062, Average Loss  0.868649, Time  0.238751
2021-09-16 16:35:30.249627 : Epoch  9, Batch    757, Loss  0.863480, Average Loss  0.868915, Time  0.264992
2021-09-16 16:35:31.519007 : Epoch  7, Batch   1385, Loss  0.883477, Average Loss  0.868644, Time  0.238652
2021-09-16 16:35:33.298543 : Epoch  9, Batch    758, Loss  0.858399, Average Loss  0.868715, Time  0.264781
2021-09-16 16:35:34.105088 : Epoch  7, Batch   1386, Loss  0.868971, Average Loss  0.868565, Time  0.238177
2021-09-16 16:35:36.350940 : Epoch  9, Batch    759, Loss  0.875483, Average Loss  0.868753, Time  0.265170
2021-09-16 16:35:36.695227 : Epoch  7, Batch   1387, Loss  0.859228, Average Loss  0.868486, Time  0.238190
2021-09-16 16:35:39.267716 : Epoch  7, Batch   1388, Loss  0.850063, Average Loss  0.868430, Time  0.238890
2021-09-16 16:35:39.406257 : Epoch  9, Batch    760, Loss  0.863291, Average Loss  0.868844, Time  0.264626
2021-09-16 16:35:41.847247 : Epoch  7, Batch   1389, Loss  0.874861, Average Loss  0.868317, Time  0.239472
2021-09-16 16:35:42.468092 : Epoch  9, Batch    761, Loss  0.849103, Average Loss  0.868744, Time  0.265603
2021-09-16 16:35:44.434342 : Epoch  7, Batch   1390, Loss  0.865215, Average Loss  0.868202, Time  0.238611
2021-09-16 16:35:45.523271 : Epoch  9, Batch    762, Loss  0.845506, Average Loss  0.868684, Time  0.264761
2021-09-16 16:35:47.010991 : Epoch  7, Batch   1391, Loss  0.888124, Average Loss  0.868270, Time  0.238023
2021-09-16 16:35:48.590266 : Epoch  9, Batch    763, Loss  0.863560, Average Loss  0.868742, Time  0.265162
2021-09-16 16:35:49.598955 : Epoch  7, Batch   1392, Loss  0.862778, Average Loss  0.868279, Time  0.238363
2021-09-16 16:35:51.676874 : Epoch  9, Batch    764, Loss  0.858201, Average Loss  0.868674, Time  0.273414
2021-09-16 16:35:52.176167 : Epoch  7, Batch   1393, Loss  0.879681, Average Loss  0.868392, Time  0.238433
2021-09-16 16:35:54.735984 : Epoch  9, Batch    765, Loss  0.859621, Average Loss  0.868694, Time  0.264587
2021-09-16 16:35:54.742390 : Epoch  7, Batch   1394, Loss  0.864647, Average Loss  0.868322, Time  0.239142
2021-09-16 16:35:57.338978 : Epoch  7, Batch   1395, Loss  0.873631, Average Loss  0.868410, Time  0.238617
2021-09-16 16:35:57.806941 : Epoch  9, Batch    766, Loss  0.866425, Average Loss  0.868675, Time  0.264829
2021-09-16 16:35:59.918427 : Epoch  7, Batch   1396, Loss  0.860796, Average Loss  0.868271, Time  0.238457
2021-09-16 16:36:00.849338 : Epoch  9, Batch    767, Loss  0.880339, Average Loss  0.868707, Time  0.265176
2021-09-16 16:36:02.497156 : Epoch  7, Batch   1397, Loss  0.869845, Average Loss  0.868339, Time  0.238183
2021-09-16 16:36:03.908026 : Epoch  9, Batch    768, Loss  0.860771, Average Loss  0.868558, Time  0.264835
2021-09-16 16:36:05.084206 : Epoch  7, Batch   1398, Loss  0.882107, Average Loss  0.868383, Time  0.238226
2021-09-16 16:36:06.964402 : Epoch  9, Batch    769, Loss  0.852212, Average Loss  0.868478, Time  0.264597
2021-09-16 16:36:07.675988 : Epoch  7, Batch   1399, Loss  0.865792, Average Loss  0.868436, Time  0.238233
2021-09-16 16:36:10.018637 : Epoch  9, Batch    770, Loss  0.878010, Average Loss  0.868558, Time  0.266891
2021-09-16 16:36:10.265129 : Epoch  7, Batch   1400, Loss  0.849402, Average Loss  0.868341, Time  0.239604
2021-09-16 16:36:12.833109 : Epoch  7, Batch   1401, Loss  0.869756, Average Loss  0.868379, Time  0.238376
2021-09-16 16:36:13.073701 : Epoch  9, Batch    771, Loss  0.851168, Average Loss  0.868488, Time  0.264815
2021-09-16 16:36:15.413047 : Epoch  7, Batch   1402, Loss  0.863649, Average Loss  0.868474, Time  0.239268
2021-09-16 16:36:16.127248 : Epoch  9, Batch    772, Loss  0.871132, Average Loss  0.868544, Time  0.265474
2021-09-16 16:36:17.993981 : Epoch  7, Batch   1403, Loss  0.880057, Average Loss  0.868478, Time  0.238621
2021-09-16 16:36:19.197116 : Epoch  9, Batch    773, Loss  0.891136, Average Loss  0.868747, Time  0.264875
2021-09-16 16:36:20.575245 : Epoch  7, Batch   1404, Loss  0.873633, Average Loss  0.868492, Time  0.238125
2021-09-16 16:36:22.276272 : Epoch  9, Batch    774, Loss  0.860925, Average Loss  0.868662, Time  0.265301
2021-09-16 16:36:23.172030 : Epoch  7, Batch   1405, Loss  0.851613, Average Loss  0.868295, Time  0.239012
2021-09-16 16:36:25.339218 : Epoch  9, Batch    775, Loss  0.882976, Average Loss  0.868690, Time  0.265075
2021-09-16 16:36:25.754979 : Epoch  7, Batch   1406, Loss  0.860196, Average Loss  0.868322, Time  0.239206
2021-09-16 16:36:28.331875 : Epoch  7, Batch   1407, Loss  0.888281, Average Loss  0.868554, Time  0.238353
2021-09-16 16:36:28.442677 : Epoch  9, Batch    776, Loss  0.897038, Average Loss  0.868838, Time  0.265388
2021-09-16 16:36:30.928992 : Epoch  7, Batch   1408, Loss  0.893537, Average Loss  0.868572, Time  0.238597
2021-09-16 16:36:31.491231 : Epoch  9, Batch    777, Loss  0.871181, Average Loss  0.868782, Time  0.265699
2021-09-16 16:36:33.503497 : Epoch  7, Batch   1409, Loss  0.888183, Average Loss  0.868634, Time  0.238459
2021-09-16 16:36:34.557869 : Epoch  9, Batch    778, Loss  0.863483, Average Loss  0.868701, Time  0.265236
2021-09-16 16:36:36.082975 : Epoch  7, Batch   1410, Loss  0.858507, Average Loss  0.868631, Time  0.238442
2021-09-16 16:36:37.653798 : Epoch  9, Batch    779, Loss  0.859988, Average Loss  0.868644, Time  0.278745
2021-09-16 16:36:38.664196 : Epoch  7, Batch   1411, Loss  0.878652, Average Loss  0.868605, Time  0.238132
2021-09-16 16:36:40.755374 : Epoch  9, Batch    780, Loss  0.872008, Average Loss  0.868691, Time  0.266107
2021-09-16 16:36:41.247790 : Epoch  7, Batch   1412, Loss  0.877442, Average Loss  0.868680, Time  0.238472
2021-09-16 16:36:43.809956 : Epoch  7, Batch   1413, Loss  0.867995, Average Loss  0.868830, Time  0.238371
2021-09-16 16:36:46.419735 : Epoch  7, Batch   1414, Loss  0.869501, Average Loss  0.868883, Time  0.238277
2021-09-16 16:36:46.882404 : Epoch  9, Batch    782, Loss  0.846655, Average Loss  0.868525, Time  0.266663
2021-09-16 16:36:48.993956 : Epoch  7, Batch   1415, Loss  0.877771, Average Loss  0.868852, Time  0.238198
2021-09-16 16:36:49.931855 : Epoch  9, Batch    783, Loss  0.872224, Average Loss  0.868480, Time  0.265114
2021-09-16 16:36:51.570911 : Epoch  7, Batch   1416, Loss  0.869060, Average Loss  0.868801, Time  0.238111
2021-09-16 16:36:52.990448 : Epoch  9, Batch    784, Loss  0.888944, Average Loss  0.868570, Time  0.264579
2021-09-16 16:36:54.143352 : Epoch  7, Batch   1417, Loss  0.863956, Average Loss  0.868829, Time  0.238861
2021-09-16 16:36:56.066083 : Epoch  9, Batch    785, Loss  0.885297, Average Loss  0.868678, Time  0.264996
2021-09-16 16:36:56.718585 : Epoch  7, Batch   1418, Loss  0.880462, Average Loss  0.868822, Time  0.239172
2021-09-16 16:36:59.115678 : Epoch  9, Batch    786, Loss  0.860628, Average Loss  0.868662, Time  0.264336
2021-09-16 16:36:59.313939 : Epoch  7, Batch   1419, Loss  0.881813, Average Loss  0.868789, Time  0.238216
2021-09-16 16:37:01.888678 : Epoch  7, Batch   1420, Loss  0.882453, Average Loss  0.868832, Time  0.238455
2021-09-16 16:37:02.173339 : Epoch  9, Batch    787, Loss  0.885730, Average Loss  0.868900, Time  0.265312
2021-09-16 16:37:04.506747 : Epoch  7, Batch   1421, Loss  0.871830, Average Loss  0.868720, Time  0.238202
2021-09-16 16:37:05.214876 : Epoch  9, Batch    788, Loss  0.834917, Average Loss  0.868681, Time  0.264849
2021-09-16 16:37:07.108251 : Epoch  7, Batch   1422, Loss  0.868156, Average Loss  0.868707, Time  0.238374
2021-09-16 16:37:08.278726 : Epoch  9, Batch    789, Loss  0.863740, Average Loss  0.868638, Time  0.265130
2021-09-16 16:37:09.691020 : Epoch  7, Batch   1423, Loss  0.878713, Average Loss  0.868739, Time  0.239301
2021-09-16 16:37:11.360672 : Epoch  9, Batch    790, Loss  0.866237, Average Loss  0.868539, Time  0.264693
2021-09-16 16:37:12.276298 : Epoch  7, Batch   1424, Loss  0.866488, Average Loss  0.868747, Time  0.238604
2021-09-16 16:37:14.441827 : Epoch  9, Batch    791, Loss  0.875840, Average Loss  0.868516, Time  0.266016
2021-09-16 16:37:14.868009 : Epoch  7, Batch   1425, Loss  0.870655, Average Loss  0.868682, Time  0.239075
2021-09-16 16:37:17.445251 : Epoch  7, Batch   1426, Loss  0.864333, Average Loss  0.868742, Time  0.238671
2021-09-16 16:37:17.522830 : Epoch  9, Batch    792, Loss  0.887157, Average Loss  0.868573, Time  0.265986
2021-09-16 16:37:20.018968 : Epoch  7, Batch   1427, Loss  0.870233, Average Loss  0.868798, Time  0.238872
2021-09-16 16:37:20.617241 : Epoch  9, Batch    793, Loss  0.883447, Average Loss  0.868664, Time  0.264498
2021-09-16 16:37:22.644058 : Epoch  7, Batch   1428, Loss  0.865438, Average Loss  0.868870, Time  0.261578
2021-09-16 16:37:23.698281 : Epoch  9, Batch    794, Loss  0.869985, Average Loss  0.868717, Time  0.274865
2021-09-16 16:37:25.227055 : Epoch  7, Batch   1429, Loss  0.886490, Average Loss  0.869120, Time  0.238364
2021-09-16 16:37:26.752730 : Epoch  9, Batch    795, Loss  0.874220, Average Loss  0.868767, Time  0.265037
2021-09-16 16:37:27.803224 : Epoch  7, Batch   1430, Loss  0.850669, Average Loss  0.868987, Time  0.238333
2021-09-16 16:37:29.818180 : Epoch  9, Batch    796, Loss  0.874449, Average Loss  0.868736, Time  0.264755
2021-09-16 16:37:30.381970 : Epoch  7, Batch   1431, Loss  0.887185, Average Loss  0.869015, Time  0.238166
2021-09-16 16:37:32.896511 : Epoch  9, Batch    797, Loss  0.862965, Average Loss  0.868732, Time  0.264133
2021-09-16 16:37:32.965785 : Epoch  7, Batch   1432, Loss  0.870481, Average Loss  0.869059, Time  0.238821
2021-09-16 16:37:35.541751 : Epoch  7, Batch   1433, Loss  0.859981, Average Loss  0.868995, Time  0.238316
2021-09-16 16:37:35.938381 : Epoch  9, Batch    798, Loss  0.855512, Average Loss  0.868700, Time  0.264390
2021-09-16 16:37:38.126020 : Epoch  7, Batch   1434, Loss  0.856264, Average Loss  0.868849, Time  0.238652
2021-09-16 16:37:38.969025 : Epoch  9, Batch    799, Loss  0.848466, Average Loss  0.868625, Time  0.264279
2021-09-16 16:37:40.708953 : Epoch  7, Batch   1435, Loss  0.854039, Average Loss  0.868856, Time  0.237994
2021-09-16 16:37:42.035894 : Epoch  9, Batch    800, Loss  0.863296, Average Loss  0.868591, Time  0.264844
2021-09-16 16:37:43.293724 : Epoch  7, Batch   1436, Loss  0.874685, Average Loss  0.868876, Time  0.238324
2021-09-16 16:37:45.094658 : Epoch  9, Batch    801, Loss  0.872413, Average Loss  0.868502, Time  0.265249
2021-09-16 16:37:45.876736 : Epoch  7, Batch   1437, Loss  0.865531, Average Loss  0.868876, Time  0.238356
2021-09-16 16:37:48.146984 : Epoch  9, Batch    802, Loss  0.875893, Average Loss  0.868550, Time  0.264930
2021-09-16 16:37:48.455152 : Epoch  7, Batch   1438, Loss  0.865559, Average Loss  0.868898, Time  0.238479
2021-09-16 16:37:51.031977 : Epoch  7, Batch   1439, Loss  0.867024, Average Loss  0.868890, Time  0.238526
2021-09-16 16:37:51.207874 : Epoch  9, Batch    803, Loss  0.884558, Average Loss  0.868682, Time  0.265215
2021-09-16 16:37:53.611918 : Epoch  7, Batch   1440, Loss  0.896028, Average Loss  0.869047, Time  0.238252
2021-09-16 16:37:54.255307 : Epoch  9, Batch    804, Loss  0.882191, Average Loss  0.868665, Time  0.265012
2021-09-16 16:37:56.197789 : Epoch  7, Batch   1441, Loss  0.865119, Average Loss  0.868967, Time  0.238133
2021-09-16 16:37:57.317660 : Epoch  9, Batch    805, Loss  0.861963, Average Loss  0.868653, Time  0.264804
2021-09-16 16:37:58.782708 : Epoch  7, Batch   1442, Loss  0.876623, Average Loss  0.869025, Time  0.238374
2021-09-16 16:38:00.383861 : Epoch  9, Batch    806, Loss  0.877463, Average Loss  0.868652, Time  0.264968
2021-09-16 16:38:01.368010 : Epoch  7, Batch   1443, Loss  0.842843, Average Loss  0.868920, Time  0.238750
2021-09-16 16:38:03.438668 : Epoch  9, Batch    807, Loss  0.881016, Average Loss  0.868676, Time  0.264487
2021-09-16 16:38:03.940311 : Epoch  7, Batch   1444, Loss  0.888148, Average Loss  0.869115, Time  0.238264
2021-09-16 16:38:06.488649 : Epoch  9, Batch    808, Loss  0.863475, Average Loss  0.868666, Time  0.264928
2021-09-16 16:38:06.520973 : Epoch  7, Batch   1445, Loss  0.870377, Average Loss  0.869073, Time  0.238407
2021-09-16 16:38:09.099079 : Epoch  7, Batch   1446, Loss  0.863838, Average Loss  0.869027, Time  0.239678
2021-09-16 16:38:09.573800 : Epoch  9, Batch    809, Loss  0.862614, Average Loss  0.868578, Time  0.278268
2021-09-16 16:38:11.678965 : Epoch  7, Batch   1447, Loss  0.850408, Average Loss  0.869084, Time  0.239107
2021-09-16 16:38:12.630790 : Epoch  9, Batch    810, Loss  0.882015, Average Loss  0.868596, Time  0.265774
2021-09-16 16:38:14.261235 : Epoch  7, Batch   1448, Loss  0.873860, Average Loss  0.869169, Time  0.237879
2021-09-16 16:38:15.692898 : Epoch  9, Batch    811, Loss  0.890597, Average Loss  0.868657, Time  0.264712
2021-09-16 16:38:16.849024 : Epoch  7, Batch   1449, Loss  0.871866, Average Loss  0.869141, Time  0.239548
2021-09-16 16:38:18.756350 : Epoch  9, Batch    812, Loss  0.872565, Average Loss  0.868594, Time  0.265304
2021-09-16 16:38:19.432255 : Epoch  7, Batch   1450, Loss  0.836752, Average Loss  0.868959, Time  0.238515
2021-09-16 16:38:21.808776 : Epoch  9, Batch    813, Loss  0.877254, Average Loss  0.868547, Time  0.265452
2021-09-16 16:38:22.016362 : Epoch  7, Batch   1451, Loss  0.875352, Average Loss  0.869024, Time  0.238816
2021-09-16 16:38:24.590379 : Epoch  7, Batch   1452, Loss  0.865930, Average Loss  0.868988, Time  0.238561
2021-09-16 16:38:24.866979 : Epoch  9, Batch    814, Loss  0.869376, Average Loss  0.868665, Time  0.265947
2021-09-16 16:38:27.178972 : Epoch  7, Batch   1453, Loss  0.854928, Average Loss  0.868857, Time  0.238445
2021-09-16 16:38:27.915245 : Epoch  9, Batch    815, Loss  0.870725, Average Loss  0.868566, Time  0.265046
2021-09-16 16:38:29.753073 : Epoch  7, Batch   1454, Loss  0.863295, Average Loss  0.868784, Time  0.238478
2021-09-16 16:38:30.980908 : Epoch  9, Batch    816, Loss  0.864190, Average Loss  0.868501, Time  0.264792
2021-09-16 16:38:32.332981 : Epoch  7, Batch   1455, Loss  0.856578, Average Loss  0.868721, Time  0.240282
2021-09-16 16:38:34.049851 : Epoch  9, Batch    817, Loss  0.872803, Average Loss  0.868548, Time  0.265008
2021-09-16 16:38:34.910748 : Epoch  7, Batch   1456, Loss  0.884082, Average Loss  0.868814, Time  0.238103
2021-09-16 16:38:37.119646 : Epoch  9, Batch    818, Loss  0.856748, Average Loss  0.868560, Time  0.264706
2021-09-16 16:38:37.516074 : Epoch  7, Batch   1457, Loss  0.854513, Average Loss  0.868796, Time  0.238197
2021-09-16 16:38:40.079410 : Epoch  7, Batch   1458, Loss  0.871338, Average Loss  0.868817, Time  0.238489
2021-09-16 16:38:40.188899 : Epoch  9, Batch    819, Loss  0.877571, Average Loss  0.868522, Time  0.264600
2021-09-16 16:38:42.654800 : Epoch  7, Batch   1459, Loss  0.844217, Average Loss  0.868719, Time  0.238719
2021-09-16 16:38:43.238136 : Epoch  9, Batch    820, Loss  0.885341, Average Loss  0.868617, Time  0.264892
2021-09-16 16:38:45.240693 : Epoch  7, Batch   1460, Loss  0.866061, Average Loss  0.868602, Time  0.238253
2021-09-16 16:38:46.321881 : Epoch  9, Batch    821, Loss  0.874294, Average Loss  0.868673, Time  0.264683
2021-09-16 16:38:47.822095 : Epoch  7, Batch   1461, Loss  0.859756, Average Loss  0.868662, Time  0.238202
2021-09-16 16:38:49.384458 : Epoch  9, Batch    822, Loss  0.885148, Average Loss  0.868747, Time  0.264105
2021-09-16 16:38:50.402766 : Epoch  7, Batch   1462, Loss  0.870215, Average Loss  0.868779, Time  0.238519
2021-09-16 16:38:52.459944 : Epoch  9, Batch    823, Loss  0.861553, Average Loss  0.868808, Time  0.264788
2021-09-16 16:38:52.985285 : Epoch  7, Batch   1463, Loss  0.873374, Average Loss  0.868815, Time  0.238486
2021-09-16 16:38:55.550004 : Epoch  9, Batch    824, Loss  0.854960, Average Loss  0.868721, Time  0.277898
2021-09-16 16:38:55.602967 : Epoch  7, Batch   1464, Loss  0.871858, Average Loss  0.868818, Time  0.238064
2021-09-16 16:38:58.622889 : Epoch  9, Batch    825, Loss  0.878631, Average Loss  0.868779, Time  0.266757
2021-09-16 16:39:01.666401 : Epoch  9, Batch    826, Loss  0.857447, Average Loss  0.868704, Time  0.264858
2021-09-16 16:39:04.726642 : Epoch  9, Batch    827, Loss  0.849108, Average Loss  0.868557, Time  0.265187
2021-09-16 16:39:07.793937 : Epoch  9, Batch    828, Loss  0.856587, Average Loss  0.868525, Time  0.265538
2021-09-16 16:39:10.859559 : Epoch  9, Batch    829, Loss  0.859812, Average Loss  0.868594, Time  0.265599
2021-09-16 16:39:13.915903 : Epoch  9, Batch    830, Loss  0.854496, Average Loss  0.868444, Time  0.265177
2021-09-16 16:39:16.965296 : Epoch  9, Batch    831, Loss  0.877166, Average Loss  0.868428, Time  0.265613
2021-09-16 16:39:20.022894 : Epoch  9, Batch    832, Loss  0.856650, Average Loss  0.868367, Time  0.264866
2021-09-16 16:39:23.084939 : Epoch  9, Batch    833, Loss  0.852818, Average Loss  0.868325, Time  0.264466
2021-09-16 16:39:26.163604 : Epoch  9, Batch    834, Loss  0.863414, Average Loss  0.868290, Time  0.265172
2021-09-16 16:39:29.244107 : Epoch  9, Batch    835, Loss  0.870265, Average Loss  0.868307, Time  0.264694
2021-09-16 16:39:32.301957 : Epoch  9, Batch    836, Loss  0.861690, Average Loss  0.868305, Time  0.265232
2021-09-16 16:39:35.369915 : Epoch  9, Batch    837, Loss  0.866991, Average Loss  0.868221, Time  0.265142
2021-09-16 16:39:38.449718 : Epoch  9, Batch    838, Loss  0.863833, Average Loss  0.868108, Time  0.264808
2021-09-16 16:39:41.532170 : Epoch  9, Batch    839, Loss  0.859574, Average Loss  0.868159, Time  0.276942
2021-09-16 16:39:44.591368 : Epoch  9, Batch    840, Loss  0.884262, Average Loss  0.868173, Time  0.265863
2021-09-16 16:39:47.643601 : Epoch  9, Batch    841, Loss  0.863390, Average Loss  0.868128, Time  0.265275
2021-09-16 16:39:50.741202 : Epoch  9, Batch    842, Loss  0.876125, Average Loss  0.868075, Time  0.264759
2021-09-16 16:39:53.796250 : Epoch  9, Batch    843, Loss  0.864865, Average Loss  0.868079, Time  0.264550
2021-09-16 16:39:56.859598 : Epoch  9, Batch    844, Loss  0.864684, Average Loss  0.868046, Time  0.264906
2021-09-16 16:39:59.917245 : Epoch  9, Batch    845, Loss  0.857816, Average Loss  0.868036, Time  0.267040
2021-09-16 16:40:02.969635 : Epoch  9, Batch    846, Loss  0.888544, Average Loss  0.868125, Time  0.264846
2021-09-16 16:40:06.038771 : Epoch  9, Batch    847, Loss  0.859395, Average Loss  0.868109, Time  0.265018
2021-09-16 16:40:09.099705 : Epoch  9, Batch    848, Loss  0.869743, Average Loss  0.868126, Time  0.264567
2021-09-16 16:40:12.191756 : Epoch  9, Batch    849, Loss  0.869842, Average Loss  0.868089, Time  0.264493
2021-09-16 16:40:15.269578 : Epoch  9, Batch    850, Loss  0.873771, Average Loss  0.868149, Time  0.265155
2021-09-16 16:40:18.343838 : Epoch  9, Batch    851, Loss  0.885976, Average Loss  0.868236, Time  0.265033
2021-09-16 16:40:21.408235 : Epoch  9, Batch    852, Loss  0.883524, Average Loss  0.868298, Time  0.264348
2021-09-16 16:42:58.102691 : CheckPoint: Validation Loss  0.00029905, Best Loss  0.00029207
2021-09-16 16:43:00.731770 : Epoch  7, Batch   1465, Loss  0.878638, Average Loss  0.868865, Time  0.270001
2021-09-16 16:43:03.341039 : Epoch  7, Batch   1466, Loss  0.878008, Average Loss  0.868944, Time  0.242948
2021-09-16 16:43:05.958768 : Epoch  7, Batch   1467, Loss  0.859851, Average Loss  0.868930, Time  0.238616
2021-09-16 16:43:08.566826 : Epoch  7, Batch   1468, Loss  0.860700, Average Loss  0.868936, Time  0.238472
2021-09-16 16:43:11.226024 : Epoch  7, Batch   1469, Loss  0.866297, Average Loss  0.868844, Time  0.238225
2021-09-16 16:43:13.848227 : Epoch  7, Batch   1470, Loss  0.854278, Average Loss  0.868759, Time  0.238700
2021-09-16 16:43:16.459113 : Epoch  7, Batch   1471, Loss  0.892533, Average Loss  0.868732, Time  0.238074
2021-09-16 16:43:19.071165 : Epoch  7, Batch   1472, Loss  0.867220, Average Loss  0.868723, Time  0.238996
2021-09-16 16:43:21.675696 : Epoch  7, Batch   1473, Loss  0.854918, Average Loss  0.868728, Time  0.238348
2021-09-16 16:43:24.288986 : Epoch  7, Batch   1474, Loss  0.876117, Average Loss  0.868792, Time  0.238598
2021-09-16 16:43:26.896046 : Epoch  7, Batch   1475, Loss  0.860171, Average Loss  0.868660, Time  0.238056
2021-09-16 16:43:29.545016 : Epoch  7, Batch   1476, Loss  0.888590, Average Loss  0.868809, Time  0.238207
2021-09-16 16:43:32.163730 : Epoch  7, Batch   1477, Loss  0.868662, Average Loss  0.868784, Time  0.238554
2021-09-16 16:43:34.762974 : Epoch  7, Batch   1478, Loss  0.846450, Average Loss  0.868646, Time  0.238494
2021-09-16 16:43:37.376011 : Epoch  7, Batch   1479, Loss  0.876021, Average Loss  0.868688, Time  0.239033
2021-09-16 16:43:39.987028 : Epoch  7, Batch   1480, Loss  0.871468, Average Loss  0.868711, Time  0.238705
2021-09-16 16:43:42.597178 : Epoch  7, Batch   1481, Loss  0.868211, Average Loss  0.868619, Time  0.238489
2021-09-16 16:43:45.204897 : Epoch  7, Batch   1482, Loss  0.872080, Average Loss  0.868646, Time  0.239305
2021-09-16 16:43:47.815051 : Epoch  7, Batch   1483, Loss  0.874084, Average Loss  0.868638, Time  0.238422
2021-09-16 16:43:50.433056 : Epoch  7, Batch   1484, Loss  0.879569, Average Loss  0.868682, Time  0.239272
2021-09-16 16:43:53.045228 : Epoch  7, Batch   1485, Loss  0.868379, Average Loss  0.868675, Time  0.238535
2021-09-16 16:43:55.669108 : Epoch  7, Batch   1486, Loss  0.863900, Average Loss  0.868671, Time  0.238736
2021-09-16 16:43:58.277975 : Epoch  7, Batch   1487, Loss  0.875722, Average Loss  0.868733, Time  0.239965
2021-09-16 16:44:00.888072 : Epoch  7, Batch   1488, Loss  0.862405, Average Loss  0.868727, Time  0.238505
2021-09-16 16:44:03.510839 : Epoch  7, Batch   1489, Loss  0.883526, Average Loss  0.868863, Time  0.238219
2021-09-16 16:44:06.121868 : Epoch  7, Batch   1490, Loss  0.854620, Average Loss  0.868854, Time  0.239329
2021-09-16 16:44:08.731012 : Epoch  7, Batch   1491, Loss  0.866263, Average Loss  0.868831, Time  0.238582
2021-09-16 16:44:11.332581 : Epoch  7, Batch   1492, Loss  0.865750, Average Loss  0.868871, Time  0.238151
2021-09-16 16:44:13.948745 : Epoch  7, Batch   1493, Loss  0.879163, Average Loss  0.869050, Time  0.238509
2021-09-16 16:44:16.560025 : Epoch  7, Batch   1494, Loss  0.865130, Average Loss  0.869044, Time  0.238534
2021-09-16 16:44:19.175328 : Epoch  7, Batch   1495, Loss  0.838175, Average Loss  0.868917, Time  0.238534
2021-09-16 16:44:21.782042 : Epoch  7, Batch   1496, Loss  0.869228, Average Loss  0.869048, Time  0.238339
2021-09-16 16:44:24.411052 : Epoch  7, Batch   1497, Loss  0.866362, Average Loss  0.869009, Time  0.238511
2021-09-16 16:44:27.057963 : Epoch  7, Batch   1498, Loss  0.868462, Average Loss  0.869006, Time  0.238253
2021-09-16 16:44:29.686158 : Epoch  7, Batch   1499, Loss  0.873836, Average Loss  0.869061, Time  0.238319
2021-09-16 16:44:32.292037 : Epoch  7, Batch   1500, Loss  0.883493, Average Loss  0.869212, Time  0.238090
2021-09-16 16:44:34.898971 : Epoch  7, Batch   1501, Loss  0.855117, Average Loss  0.869119, Time  0.238401
2021-09-16 16:44:37.505905 : Epoch  7, Batch   1502, Loss  0.848036, Average Loss  0.869089, Time  0.238775
2021-09-16 16:44:40.130926 : Epoch  7, Batch   1503, Loss  0.887850, Average Loss  0.869198, Time  0.238157
2021-09-16 16:44:42.728303 : Epoch  7, Batch   1504, Loss  0.843974, Average Loss  0.869096, Time  0.239182
2021-09-16 16:44:45.346146 : Epoch  7, Batch   1505, Loss  0.868234, Average Loss  0.869107, Time  0.239084
2021-09-16 16:44:47.962811 : Epoch  7, Batch   1506, Loss  0.852563, Average Loss  0.868936, Time  0.238576
2021-09-16 16:44:50.585194 : Epoch  7, Batch   1507, Loss  0.877413, Average Loss  0.868914, Time  0.238696
2021-09-16 16:44:53.202868 : Epoch  7, Batch   1508, Loss  0.851253, Average Loss  0.868805, Time  0.239806
2021-09-16 16:44:55.806997 : Epoch  7, Batch   1509, Loss  0.868991, Average Loss  0.868921, Time  0.238445
2021-09-16 16:44:58.419734 : Epoch  7, Batch   1510, Loss  0.866300, Average Loss  0.868927, Time  0.238442
2021-09-16 16:45:01.029992 : Epoch  7, Batch   1511, Loss  0.855541, Average Loss  0.868788, Time  0.238779
2021-09-16 16:45:03.549423 : CheckPoint: Validation Loss  0.00029014, Best Loss  0.00029014
2021-09-16 16:45:03.594655 : Best Model Updated
2021-09-16 16:45:03.652793 : Epoch  7, Batch   1512, Loss  0.870343, Average Loss  0.868796, Time  0.240516
2021-09-16 16:45:06.267826 : Epoch  7, Batch   1513, Loss  0.873859, Average Loss  0.868886, Time  0.238871
2021-09-16 16:45:07.802983 : Epoch  9, Batch    853, Loss  0.869748, Average Loss  0.868352, Time  0.274559
2021-09-16 16:45:08.873997 : Epoch  7, Batch   1514, Loss  0.863365, Average Loss  0.868771, Time  0.239206
2021-09-16 16:45:10.884839 : Epoch  9, Batch    854, Loss  0.897434, Average Loss  0.868446, Time  0.265448
2021-09-16 16:45:11.477809 : Epoch  7, Batch   1515, Loss  0.865169, Average Loss  0.868910, Time  0.238819
2021-09-16 16:45:13.950514 : Epoch  9, Batch    855, Loss  0.869224, Average Loss  0.868409, Time  0.264996
2021-09-16 16:45:14.090987 : Epoch  7, Batch   1516, Loss  0.901101, Average Loss  0.869205, Time  0.238201
2021-09-16 16:45:16.704054 : Epoch  7, Batch   1517, Loss  0.884520, Average Loss  0.869251, Time  0.246797
2021-09-16 16:45:16.992779 : Epoch  9, Batch    856, Loss  0.868469, Average Loss  0.868460, Time  0.264901
2021-09-16 16:45:19.343215 : Epoch  7, Batch   1518, Loss  0.856005, Average Loss  0.869167, Time  0.238480
2021-09-16 16:45:20.040996 : Epoch  9, Batch    857, Loss  0.850444, Average Loss  0.868447, Time  0.265067
2021-09-16 16:45:21.949200 : Epoch  7, Batch   1519, Loss  0.875312, Average Loss  0.869238, Time  0.238211
2021-09-16 16:45:23.091748 : Epoch  9, Batch    858, Loss  0.870663, Average Loss  0.868491, Time  0.265164
2021-09-16 16:45:24.553982 : Epoch  7, Batch   1520, Loss  0.870423, Average Loss  0.869216, Time  0.238600
2021-09-16 16:45:26.154985 : Epoch  9, Batch    859, Loss  0.869249, Average Loss  0.868394, Time  0.266980
2021-09-16 16:45:27.167823 : Epoch  7, Batch   1521, Loss  0.870484, Average Loss  0.869275, Time  0.238050
2021-09-16 16:45:29.217857 : Epoch  9, Batch    860, Loss  0.862923, Average Loss  0.868345, Time  0.266005
2021-09-16 16:45:29.769093 : Epoch  7, Batch   1522, Loss  0.874877, Average Loss  0.869344, Time  0.238472
2021-09-16 16:45:32.294349 : Epoch  9, Batch    861, Loss  0.877063, Average Loss  0.868387, Time  0.265167
2021-09-16 16:45:32.388062 : Epoch  7, Batch   1523, Loss  0.873755, Average Loss  0.869404, Time  0.238574
2021-09-16 16:45:34.986307 : Epoch  7, Batch   1524, Loss  0.853272, Average Loss  0.869293, Time  0.238430
2021-09-16 16:45:35.408987 : Epoch  9, Batch    862, Loss  0.883589, Average Loss  0.868456, Time  0.265170
2021-09-16 16:45:37.590905 : Epoch  7, Batch   1525, Loss  0.867548, Average Loss  0.869299, Time  0.238337
2021-09-16 16:45:38.480802 : Epoch  9, Batch    863, Loss  0.848850, Average Loss  0.868338, Time  0.265352
2021-09-16 16:45:40.203961 : Epoch  7, Batch   1526, Loss  0.871398, Average Loss  0.869362, Time  0.238315
2021-09-16 16:45:41.533518 : Epoch  9, Batch    864, Loss  0.853055, Average Loss  0.868279, Time  0.264620
2021-09-16 16:45:42.822839 : Epoch  7, Batch   1527, Loss  0.847782, Average Loss  0.869317, Time  0.238421
2021-09-16 16:45:44.603540 : Epoch  9, Batch    865, Loss  0.856912, Average Loss  0.868238, Time  0.272748
2021-09-16 16:45:45.442904 : Epoch  7, Batch   1528, Loss  0.887188, Average Loss  0.869357, Time  0.239270
2021-09-16 16:45:47.668340 : Epoch  9, Batch    866, Loss  0.875162, Average Loss  0.868262, Time  0.265323
2021-09-16 16:45:48.057901 : Epoch  7, Batch   1529, Loss  0.868846, Average Loss  0.869388, Time  0.238256
2021-09-16 16:45:50.667042 : Epoch  7, Batch   1530, Loss  0.877563, Average Loss  0.869421, Time  0.239057
2021-09-16 16:45:50.720815 : Epoch  9, Batch    867, Loss  0.881596, Average Loss  0.868307, Time  0.264783
2021-09-16 16:45:53.271945 : Epoch  7, Batch   1531, Loss  0.872801, Average Loss  0.869474, Time  0.238930
2021-09-16 16:45:53.787093 : Epoch  9, Batch    868, Loss  0.887053, Average Loss  0.868467, Time  0.265170
2021-09-16 16:45:55.886955 : Epoch  7, Batch   1532, Loss  0.882294, Average Loss  0.869513, Time  0.238757
2021-09-16 16:45:56.865318 : Epoch  9, Batch    869, Loss  0.854157, Average Loss  0.868449, Time  0.264852
2021-09-16 16:45:58.513699 : Epoch  7, Batch   1533, Loss  0.869829, Average Loss  0.869575, Time  0.238316
2021-09-16 16:45:59.942157 : Epoch  9, Batch    870, Loss  0.863931, Average Loss  0.868456, Time  0.265017
2021-09-16 16:46:01.122777 : Epoch  7, Batch   1534, Loss  0.877516, Average Loss  0.869700, Time  0.238675
2021-09-16 16:46:03.030924 : Epoch  9, Batch    871, Loss  0.875648, Average Loss  0.868380, Time  0.265276
2021-09-16 16:46:03.734954 : Epoch  7, Batch   1535, Loss  0.874340, Average Loss  0.869762, Time  0.238154
2021-09-16 16:46:06.145893 : Epoch  9, Batch    872, Loss  0.893063, Average Loss  0.868555, Time  0.265025
2021-09-16 16:46:06.343956 : Epoch  7, Batch   1536, Loss  0.871532, Average Loss  0.869831, Time  0.238156
2021-09-16 16:46:08.937249 : Epoch  7, Batch   1537, Loss  0.866512, Average Loss  0.869843, Time  0.238381
2021-09-16 16:46:09.202727 : Epoch  9, Batch    873, Loss  0.861483, Average Loss  0.868551, Time  0.265015
2021-09-16 16:46:11.559946 : Epoch  7, Batch   1538, Loss  0.860847, Average Loss  0.869713, Time  0.238112
2021-09-16 16:46:12.249888 : Epoch  9, Batch    874, Loss  0.863618, Average Loss  0.868489, Time  0.266882
2021-09-16 16:46:14.164292 : Epoch  7, Batch   1539, Loss  0.880039, Average Loss  0.869842, Time  0.238758
2021-09-16 16:46:15.339679 : Epoch  9, Batch    875, Loss  0.857530, Average Loss  0.868507, Time  0.265109
2021-09-16 16:46:16.778142 : Epoch  7, Batch   1540, Loss  0.858361, Average Loss  0.869724, Time  0.238629
2021-09-16 16:46:18.410411 : Epoch  9, Batch    876, Loss  0.865715, Average Loss  0.868415, Time  0.265698
2021-09-16 16:46:19.387090 : Epoch  7, Batch   1541, Loss  0.858444, Average Loss  0.869651, Time  0.238400
2021-09-16 16:46:21.470099 : Epoch  9, Batch    877, Loss  0.860687, Average Loss  0.868322, Time  0.264379
2021-09-16 16:46:21.996981 : Epoch  7, Batch   1542, Loss  0.879060, Average Loss  0.869701, Time  0.238552
2021-09-16 16:46:24.543205 : Epoch  9, Batch    878, Loss  0.857923, Average Loss  0.868268, Time  0.264517
2021-09-16 16:46:24.608802 : Epoch  7, Batch   1543, Loss  0.864350, Average Loss  0.869625, Time  0.238168
2021-09-16 16:46:27.217212 : Epoch  7, Batch   1544, Loss  0.869739, Average Loss  0.869627, Time  0.238513
2021-09-16 16:46:27.595985 : Epoch  9, Batch    879, Loss  0.897485, Average Loss  0.868482, Time  0.264529
2021-09-16 16:46:29.824959 : Epoch  7, Batch   1545, Loss  0.876934, Average Loss  0.869747, Time  0.238127
2021-09-16 16:46:30.658533 : Epoch  9, Batch    880, Loss  0.889951, Average Loss  0.868466, Time  0.276208
2021-09-16 16:46:32.416265 : Epoch  7, Batch   1546, Loss  0.871224, Average Loss  0.869760, Time  0.238394
2021-09-16 16:46:33.741185 : Epoch  9, Batch    881, Loss  0.869646, Average Loss  0.868382, Time  0.264792
2021-09-16 16:46:35.030795 : Epoch  7, Batch   1547, Loss  0.882478, Average Loss  0.869839, Time  0.238360
2021-09-16 16:46:36.795702 : Epoch  9, Batch    882, Loss  0.849104, Average Loss  0.868437, Time  0.264966
2021-09-16 16:46:37.647737 : Epoch  7, Batch   1548, Loss  0.886727, Average Loss  0.869941, Time  0.238945
2021-09-16 16:46:39.858223 : Epoch  9, Batch    883, Loss  0.878473, Average Loss  0.868310, Time  0.265234
2021-09-16 16:46:40.248168 : Epoch  7, Batch   1549, Loss  0.876245, Average Loss  0.870024, Time  0.238127
2021-09-16 16:46:42.833182 : Epoch  7, Batch   1550, Loss  0.881533, Average Loss  0.870102, Time  0.238166
2021-09-16 16:46:42.918750 : Epoch  9, Batch    884, Loss  0.883353, Average Loss  0.868361, Time  0.264856
2021-09-16 16:46:45.437043 : Epoch  7, Batch   1551, Loss  0.865103, Average Loss  0.870000, Time  0.239491
2021-09-16 16:46:45.948036 : Epoch  9, Batch    885, Loss  0.877344, Average Loss  0.868373, Time  0.266057
2021-09-16 16:46:48.035232 : Epoch  7, Batch   1552, Loss  0.875445, Average Loss  0.870049, Time  0.239370
2021-09-16 16:46:49.006713 : Epoch  9, Batch    886, Loss  0.896339, Average Loss  0.868489, Time  0.264723
2021-09-16 16:46:50.642502 : Epoch  7, Batch   1553, Loss  0.876084, Average Loss  0.870103, Time  0.239200
2021-09-16 16:46:52.056953 : Epoch  9, Batch    887, Loss  0.848092, Average Loss  0.868417, Time  0.265234
2021-09-16 16:46:53.250982 : Epoch  7, Batch   1554, Loss  0.862686, Average Loss  0.870027, Time  0.238713
2021-09-16 16:46:55.120867 : Epoch  9, Batch    888, Loss  0.889454, Average Loss  0.868602, Time  0.264793
2021-09-16 16:46:55.861028 : Epoch  7, Batch   1555, Loss  0.880890, Average Loss  0.870073, Time  0.238227
2021-09-16 16:46:58.164921 : Epoch  9, Batch    889, Loss  0.874318, Average Loss  0.868688, Time  0.265302
2021-09-16 16:46:58.466735 : Epoch  7, Batch   1556, Loss  0.859856, Average Loss  0.870030, Time  0.238263
2021-09-16 16:47:01.060972 : Epoch  7, Batch   1557, Loss  0.870149, Average Loss  0.870088, Time  0.238350
2021-09-16 16:47:01.224081 : Epoch  9, Batch    890, Loss  0.894154, Average Loss  0.868732, Time  0.265123
2021-09-16 16:47:03.659804 : Epoch  7, Batch   1558, Loss  0.864404, Average Loss  0.869919, Time  0.238401
2021-09-16 16:47:04.255096 : Epoch  9, Batch    891, Loss  0.865880, Average Loss  0.868772, Time  0.264605
2021-09-16 16:47:06.264230 : Epoch  7, Batch   1559, Loss  0.867947, Average Loss  0.869874, Time  0.238196
2021-09-16 16:47:07.317488 : Epoch  9, Batch    892, Loss  0.867267, Average Loss  0.868717, Time  0.264702
2021-09-16 16:47:08.867024 : Epoch  7, Batch   1560, Loss  0.857191, Average Loss  0.869863, Time  0.238929
2021-09-16 16:47:10.381502 : Epoch  9, Batch    893, Loss  0.863009, Average Loss  0.868658, Time  0.265400
2021-09-16 16:47:11.465046 : Epoch  7, Batch   1561, Loss  0.868340, Average Loss  0.869815, Time  0.238680
2021-09-16 16:47:13.419070 : Epoch  9, Batch    894, Loss  0.852860, Average Loss  0.868647, Time  0.265057
2021-09-16 16:47:14.067977 : Epoch  7, Batch   1562, Loss  0.864304, Average Loss  0.869849, Time  0.238544
2021-09-16 16:47:16.482719 : Epoch  9, Batch    895, Loss  0.877024, Average Loss  0.868665, Time  0.274720
2021-09-16 16:47:16.674726 : Epoch  7, Batch   1563, Loss  0.879602, Average Loss  0.869860, Time  0.239269
2021-09-16 16:47:19.258340 : Epoch  7, Batch   1564, Loss  0.887020, Average Loss  0.869997, Time  0.238811
2021-09-16 16:47:19.544915 : Epoch  9, Batch    896, Loss  0.842526, Average Loss  0.868537, Time  0.264943
2021-09-16 16:47:22.589685 : Epoch  9, Batch    897, Loss  0.870884, Average Loss  0.868600, Time  0.264581
2021-09-16 16:47:25.645830 : Epoch  9, Batch    898, Loss  0.859598, Average Loss  0.868583, Time  0.264499
2021-09-16 16:47:28.737945 : Epoch  9, Batch    899, Loss  0.859058, Average Loss  0.868566, Time  0.264664
2021-09-16 16:47:31.789871 : Epoch  9, Batch    900, Loss  0.867392, Average Loss  0.868663, Time  0.266360
2021-09-16 16:47:34.858169 : Epoch  9, Batch    901, Loss  0.867798, Average Loss  0.868701, Time  0.267184
2021-09-16 16:47:37.913856 : Epoch  9, Batch    902, Loss  0.862307, Average Loss  0.868575, Time  0.264920
2021-09-16 16:47:40.978107 : Epoch  9, Batch    903, Loss  0.858788, Average Loss  0.868591, Time  0.264482
2021-09-16 16:47:44.034929 : Epoch  9, Batch    904, Loss  0.847114, Average Loss  0.868450, Time  0.267259
2021-09-16 16:47:47.101693 : Epoch  9, Batch    905, Loss  0.839570, Average Loss  0.868291, Time  0.264530
2021-09-16 16:47:50.184926 : Epoch  9, Batch    906, Loss  0.855757, Average Loss  0.868201, Time  0.264841
2021-09-16 16:47:53.245009 : Epoch  9, Batch    907, Loss  0.862603, Average Loss  0.868217, Time  0.265633
2021-09-16 16:47:56.301829 : Epoch  9, Batch    908, Loss  0.861514, Average Loss  0.868180, Time  0.264404
2021-09-16 16:47:59.375676 : Epoch  9, Batch    909, Loss  0.855259, Average Loss  0.868095, Time  0.264625
2021-09-16 16:48:02.435738 : Epoch  9, Batch    910, Loss  0.871031, Average Loss  0.868102, Time  0.275288
2021-09-16 16:48:05.501179 : Epoch  9, Batch    911, Loss  0.852541, Average Loss  0.868067, Time  0.265074
2021-09-16 16:48:08.564597 : Epoch  9, Batch    912, Loss  0.867704, Average Loss  0.868088, Time  0.264896
2021-09-16 16:48:11.642166 : Epoch  9, Batch    913, Loss  0.858248, Average Loss  0.868146, Time  0.264572
2021-09-16 16:48:14.715218 : Epoch  9, Batch    914, Loss  0.892908, Average Loss  0.868217, Time  0.265005
2021-09-16 16:48:17.772745 : Epoch  9, Batch    915, Loss  0.867718, Average Loss  0.868312, Time  0.264942
2021-09-16 16:48:20.825994 : Epoch  9, Batch    916, Loss  0.872341, Average Loss  0.868263, Time  0.267011
2021-09-16 16:48:23.874702 : Epoch  9, Batch    917, Loss  0.871688, Average Loss  0.868284, Time  0.264865
2021-09-16 16:48:26.933400 : Epoch  9, Batch    918, Loss  0.851241, Average Loss  0.868236, Time  0.265473
2021-09-16 16:48:30.000069 : Epoch  9, Batch    919, Loss  0.896747, Average Loss  0.868230, Time  0.265403
2021-09-16 16:48:33.059543 : Epoch  9, Batch    920, Loss  0.882329, Average Loss  0.868183, Time  0.265469
2021-09-16 16:48:36.133228 : Epoch  9, Batch    921, Loss  0.864874, Average Loss  0.868086, Time  0.264639
2021-09-16 16:48:39.200175 : Epoch  9, Batch    922, Loss  0.886561, Average Loss  0.868270, Time  0.264458
2021-09-16 16:48:42.287797 : Epoch  9, Batch    923, Loss  0.877872, Average Loss  0.868284, Time  0.265392
2021-09-16 16:48:45.373257 : Epoch  9, Batch    924, Loss  0.866690, Average Loss  0.868301, Time  0.264693
2021-09-16 16:48:48.459956 : Epoch  9, Batch    925, Loss  0.862522, Average Loss  0.868402, Time  0.270293
2021-09-16 16:48:51.507187 : Epoch  9, Batch    926, Loss  0.885365, Average Loss  0.868499, Time  0.264413
2021-09-16 16:48:54.554816 : Epoch  9, Batch    927, Loss  0.848360, Average Loss  0.868373, Time  0.266211
2021-09-16 16:48:57.623896 : Epoch  9, Batch    928, Loss  0.887327, Average Loss  0.868507, Time  0.265101
2021-09-16 16:49:00.711303 : Epoch  9, Batch    929, Loss  0.870738, Average Loss  0.868560, Time  0.265631
2021-09-16 16:49:03.767344 : Epoch  9, Batch    930, Loss  0.839348, Average Loss  0.868498, Time  0.265269
2021-09-16 16:49:06.846691 : Epoch  9, Batch    931, Loss  0.863922, Average Loss  0.868463, Time  0.265244
2021-09-16 16:49:09.926752 : Epoch  9, Batch    932, Loss  0.877146, Average Loss  0.868488, Time  0.264917
2021-09-16 16:49:13.000477 : Epoch  9, Batch    933, Loss  0.851593, Average Loss  0.868447, Time  0.264605
2021-09-16 16:49:16.069850 : Epoch  9, Batch    934, Loss  0.865061, Average Loss  0.868452, Time  0.264330
2021-09-16 16:49:19.150170 : Epoch  9, Batch    935, Loss  0.874277, Average Loss  0.868529, Time  0.264950
2021-09-16 16:49:22.203870 : Epoch  9, Batch    936, Loss  0.845134, Average Loss  0.868346, Time  0.265644
2021-09-16 16:49:25.279467 : Epoch  9, Batch    937, Loss  0.874843, Average Loss  0.868400, Time  0.265516
2021-09-16 16:49:28.345009 : Epoch  9, Batch    938, Loss  0.886749, Average Loss  0.868459, Time  0.265295
2021-09-16 16:49:31.403074 : Epoch  9, Batch    939, Loss  0.878104, Average Loss  0.868424, Time  0.265661
2021-09-16 16:49:34.473849 : Epoch  9, Batch    940, Loss  0.872208, Average Loss  0.868429, Time  0.277928
2021-09-16 16:49:37.540771 : Epoch  9, Batch    941, Loss  0.866067, Average Loss  0.868486, Time  0.266746
2021-09-16 16:49:40.597561 : Epoch  9, Batch    942, Loss  0.853498, Average Loss  0.868365, Time  0.265942
2021-09-16 16:49:43.639831 : Epoch  9, Batch    943, Loss  0.874457, Average Loss  0.868465, Time  0.264895
2021-09-16 16:49:46.696825 : Epoch  9, Batch    944, Loss  0.863644, Average Loss  0.868461, Time  0.266828
2021-09-16 16:49:49.765792 : Epoch  9, Batch    945, Loss  0.880738, Average Loss  0.868534, Time  0.264832
2021-09-16 16:49:52.817892 : Epoch  9, Batch    946, Loss  0.881398, Average Loss  0.868554, Time  0.265282
2021-09-16 16:49:55.887105 : Epoch  9, Batch    947, Loss  0.842978, Average Loss  0.868533, Time  0.265548
2021-09-16 16:49:58.940801 : Epoch  9, Batch    948, Loss  0.881840, Average Loss  0.868559, Time  0.265527
2021-09-16 16:50:01.997231 : Epoch  9, Batch    949, Loss  0.855991, Average Loss  0.868414, Time  0.265524
2021-09-16 16:50:05.051293 : Epoch  9, Batch    950, Loss  0.875719, Average Loss  0.868466, Time  0.265507
2021-09-16 16:50:08.120638 : Epoch  9, Batch    951, Loss  0.874016, Average Loss  0.868426, Time  0.265355
2021-09-16 16:50:11.217737 : Epoch  9, Batch    952, Loss  0.857987, Average Loss  0.868422, Time  0.264779
2021-09-16 16:51:21.235693 : CheckPoint: Validation Loss  0.00030216, Best Loss  0.00029207
2021-09-16 16:51:23.824149 : Epoch  7, Batch   1565, Loss  0.853818, Average Loss  0.869898, Time  0.239713
2021-09-16 16:51:26.435032 : Epoch  7, Batch   1566, Loss  0.878600, Average Loss  0.869865, Time  0.239173
2021-09-16 16:51:29.054171 : Epoch  7, Batch   1567, Loss  0.863588, Average Loss  0.869654, Time  0.239820
2021-09-16 16:51:31.660231 : Epoch  7, Batch   1568, Loss  0.874095, Average Loss  0.869682, Time  0.238437
2021-09-16 16:51:34.265226 : Epoch  7, Batch   1569, Loss  0.857733, Average Loss  0.869572, Time  0.238687
2021-09-16 16:51:36.880077 : Epoch  7, Batch   1570, Loss  0.872067, Average Loss  0.869563, Time  0.238760
2021-09-16 16:51:39.477381 : Epoch  7, Batch   1571, Loss  0.881292, Average Loss  0.869549, Time  0.238249
2021-09-16 16:51:42.097209 : Epoch  7, Batch   1572, Loss  0.876617, Average Loss  0.869574, Time  0.238586
2021-09-16 16:51:44.716036 : Epoch  7, Batch   1573, Loss  0.865245, Average Loss  0.869538, Time  0.238504
2021-09-16 16:51:47.326956 : Epoch  7, Batch   1574, Loss  0.866757, Average Loss  0.869573, Time  0.238659
2021-09-16 16:51:49.942834 : Epoch  7, Batch   1575, Loss  0.861974, Average Loss  0.869501, Time  0.238882
2021-09-16 16:51:52.565355 : Epoch  7, Batch   1576, Loss  0.882059, Average Loss  0.869594, Time  0.238781
2021-09-16 16:51:55.179817 : Epoch  7, Batch   1577, Loss  0.875132, Average Loss  0.869722, Time  0.238304
2021-09-16 16:51:57.787983 : Epoch  7, Batch   1578, Loss  0.892442, Average Loss  0.869797, Time  0.238684
2021-09-16 16:52:00.402953 : Epoch  7, Batch   1579, Loss  0.887700, Average Loss  0.869759, Time  0.238544
2021-09-16 16:52:03.012960 : Epoch  7, Batch   1580, Loss  0.857298, Average Loss  0.869531, Time  0.238441
2021-09-16 16:52:05.627940 : Epoch  7, Batch   1581, Loss  0.871817, Average Loss  0.869545, Time  0.238561
2021-09-16 16:52:08.237225 : Epoch  7, Batch   1582, Loss  0.872872, Average Loss  0.869486, Time  0.238150
2021-09-16 16:52:10.844950 : Epoch  7, Batch   1583, Loss  0.886723, Average Loss  0.869522, Time  0.238903
2021-09-16 16:52:13.454070 : Epoch  7, Batch   1584, Loss  0.857224, Average Loss  0.869487, Time  0.238023
2021-09-16 16:52:16.059107 : Epoch  7, Batch   1585, Loss  0.875280, Average Loss  0.869446, Time  0.238762
2021-09-16 16:52:18.653935 : Epoch  7, Batch   1586, Loss  0.881614, Average Loss  0.869510, Time  0.238264
2021-09-16 16:52:21.268779 : Epoch  7, Batch   1587, Loss  0.857645, Average Loss  0.869502, Time  0.238065
2021-09-16 16:52:23.878230 : Epoch  7, Batch   1588, Loss  0.851876, Average Loss  0.869511, Time  0.239300
2021-09-16 16:52:26.480197 : Epoch  7, Batch   1589, Loss  0.869233, Average Loss  0.869483, Time  0.238238
2021-09-16 16:52:29.089174 : Epoch  7, Batch   1590, Loss  0.879395, Average Loss  0.869554, Time  0.239196
2021-09-16 16:52:31.699124 : Epoch  7, Batch   1591, Loss  0.874818, Average Loss  0.869487, Time  0.238357
2021-09-16 16:52:34.302125 : Epoch  7, Batch   1592, Loss  0.873628, Average Loss  0.869541, Time  0.238372
2021-09-16 16:52:36.906968 : Epoch  7, Batch   1593, Loss  0.885846, Average Loss  0.869572, Time  0.239101
2021-09-16 16:52:39.534779 : Epoch  7, Batch   1594, Loss  0.845817, Average Loss  0.869478, Time  0.238239
2021-09-16 16:52:42.143265 : Epoch  7, Batch   1595, Loss  0.875938, Average Loss  0.869490, Time  0.238313
2021-09-16 16:52:44.756908 : Epoch  7, Batch   1596, Loss  0.853526, Average Loss  0.869453, Time  0.238049
2021-09-16 16:52:47.358038 : Epoch  7, Batch   1597, Loss  0.859767, Average Loss  0.869403, Time  0.238072
2021-09-16 16:52:49.964236 : Epoch  7, Batch   1598, Loss  0.872368, Average Loss  0.869354, Time  0.238318
2021-09-16 16:52:52.576104 : Epoch  7, Batch   1599, Loss  0.869314, Average Loss  0.869372, Time  0.238970
2021-09-16 16:52:55.174232 : Epoch  7, Batch   1600, Loss  0.892196, Average Loss  0.869586, Time  0.237868
2021-09-16 16:52:57.773920 : Epoch  7, Batch   1601, Loss  0.876148, Average Loss  0.869618, Time  0.238370
2021-09-16 16:53:00.380023 : Epoch  7, Batch   1602, Loss  0.860510, Average Loss  0.869602, Time  0.238019
2021-09-16 16:53:02.995025 : Epoch  7, Batch   1603, Loss  0.867725, Average Loss  0.869540, Time  0.237940
2021-09-16 16:53:05.597976 : Epoch  7, Batch   1604, Loss  0.828203, Average Loss  0.869313, Time  0.238413
2021-09-16 16:53:08.208067 : Epoch  7, Batch   1605, Loss  0.867508, Average Loss  0.869393, Time  0.238354
2021-09-16 16:53:10.815119 : Epoch  7, Batch   1606, Loss  0.863667, Average Loss  0.869410, Time  0.237997
2021-09-16 16:53:13.438973 : Epoch  7, Batch   1607, Loss  0.895796, Average Loss  0.869448, Time  0.237978
2021-09-16 16:53:16.047960 : Epoch  7, Batch   1608, Loss  0.881405, Average Loss  0.869387, Time  0.238231
2021-09-16 16:53:18.646235 : Epoch  7, Batch   1609, Loss  0.863374, Average Loss  0.869263, Time  0.238066
2021-09-16 16:53:21.254337 : Epoch  7, Batch   1610, Loss  0.873165, Average Loss  0.869336, Time  0.238528
2021-09-16 16:53:23.860780 : Epoch  7, Batch   1611, Loss  0.861407, Average Loss  0.869250, Time  0.239276
2021-09-16 16:53:26.465655 : Epoch  7, Batch   1612, Loss  0.854016, Average Loss  0.869133, Time  0.237754
2021-09-16 16:53:29.070120 : Epoch  7, Batch   1613, Loss  0.872846, Average Loss  0.869157, Time  0.238736
2021-09-16 16:53:31.667012 : Epoch  7, Batch   1614, Loss  0.870347, Average Loss  0.869161, Time  0.238463
2021-09-16 16:53:34.277261 : Epoch  7, Batch   1615, Loss  0.840072, Average Loss  0.868973, Time  0.238262
2021-09-16 16:53:36.886985 : Epoch  7, Batch   1616, Loss  0.883181, Average Loss  0.869043, Time  0.238532
2021-09-16 16:53:39.504840 : Epoch  7, Batch   1617, Loss  0.842527, Average Loss  0.868936, Time  0.238603
2021-09-16 16:53:42.105992 : Epoch  7, Batch   1618, Loss  0.854394, Average Loss  0.868806, Time  0.238574
2021-09-16 16:53:44.710060 : Epoch  7, Batch   1619, Loss  0.880798, Average Loss  0.868801, Time  0.238400
2021-09-16 16:53:47.316073 : Epoch  7, Batch   1620, Loss  0.851682, Average Loss  0.868647, Time  0.237795
2021-09-16 16:53:49.926056 : Epoch  7, Batch   1621, Loss  0.848932, Average Loss  0.868532, Time  0.238374
2021-09-16 16:53:52.531706 : Epoch  7, Batch   1622, Loss  0.879643, Average Loss  0.868590, Time  0.238146
2021-09-16 16:53:55.137055 : Epoch  7, Batch   1623, Loss  0.903586, Average Loss  0.868714, Time  0.238440
2021-09-16 16:53:57.733072 : Epoch  7, Batch   1624, Loss  0.882874, Average Loss  0.868796, Time  0.238020
2021-09-16 16:54:00.344081 : Epoch  7, Batch   1625, Loss  0.869400, Average Loss  0.868790, Time  0.238193
2021-09-16 16:54:02.945238 : Epoch  7, Batch   1626, Loss  0.862982, Average Loss  0.868783, Time  0.238147
2021-09-16 16:54:05.549066 : Epoch  7, Batch   1627, Loss  0.864517, Average Loss  0.868755, Time  0.237983
2021-09-16 16:54:08.154020 : Epoch  7, Batch   1628, Loss  0.862425, Average Loss  0.868739, Time  0.238006
2021-09-16 16:54:10.754764 : Epoch  7, Batch   1629, Loss  0.865360, Average Loss  0.868634, Time  0.238023
2021-09-16 16:54:13.359067 : Epoch  7, Batch   1630, Loss  0.866181, Average Loss  0.868711, Time  0.238334
2021-09-16 16:54:15.966115 : Epoch  7, Batch   1631, Loss  0.896632, Average Loss  0.868759, Time  0.238640
2021-09-16 16:54:18.570908 : Epoch  7, Batch   1632, Loss  0.871071, Average Loss  0.868762, Time  0.238364
2021-09-16 16:54:21.176087 : Epoch  7, Batch   1633, Loss  0.862301, Average Loss  0.868773, Time  0.238155
2021-09-16 16:54:23.789220 : Epoch  7, Batch   1634, Loss  0.868707, Average Loss  0.868835, Time  0.238957
2021-09-16 16:54:26.398723 : Epoch  7, Batch   1635, Loss  0.855150, Average Loss  0.868841, Time  0.238302
2021-09-16 16:54:29.007995 : Epoch  7, Batch   1636, Loss  0.886038, Average Loss  0.868898, Time  0.238362
2021-09-16 16:54:31.606766 : Epoch  7, Batch   1637, Loss  0.849578, Average Loss  0.868818, Time  0.238123
2021-09-16 16:54:34.207699 : Epoch  7, Batch   1638, Loss  0.875606, Average Loss  0.868868, Time  0.238258
2021-09-16 16:54:36.827438 : Epoch  7, Batch   1639, Loss  0.880207, Average Loss  0.868934, Time  0.238375
2021-09-16 16:54:39.434329 : Epoch  7, Batch   1640, Loss  0.863576, Average Loss  0.868772, Time  0.238317
2021-09-16 16:54:42.044985 : Epoch  7, Batch   1641, Loss  0.856789, Average Loss  0.868730, Time  0.238141
2021-09-16 16:54:44.646040 : Epoch  7, Batch   1642, Loss  0.847981, Average Loss  0.868587, Time  0.238025
2021-09-16 16:54:47.254249 : Epoch  7, Batch   1643, Loss  0.864979, Average Loss  0.868698, Time  0.238070
2021-09-16 16:54:49.862212 : Epoch  7, Batch   1644, Loss  0.859406, Average Loss  0.868554, Time  0.238296
2021-09-16 16:54:52.467042 : Epoch  7, Batch   1645, Loss  0.871045, Average Loss  0.868557, Time  0.238306
2021-09-16 16:54:52.991785 : CheckPoint: Validation Loss  0.00029677, Best Loss  0.00029014
2021-09-16 16:54:55.071714 : Epoch  7, Batch   1646, Loss  0.868403, Average Loss  0.868580, Time  0.238048
2021-09-16 16:54:56.032004 : Epoch  9, Batch    953, Loss  0.863965, Average Loss  0.868387, Time  0.268247
2021-09-16 16:54:57.668010 : Epoch  7, Batch   1647, Loss  0.857886, Average Loss  0.868618, Time  0.240254
2021-09-16 16:54:59.080019 : Epoch  9, Batch    954, Loss  0.844050, Average Loss  0.868238, Time  0.265776
2021-09-16 16:55:00.266981 : Epoch  7, Batch   1648, Loss  0.863267, Average Loss  0.868565, Time  0.238254
2021-09-16 16:55:02.132051 : Epoch  9, Batch    955, Loss  0.867981, Average Loss  0.868331, Time  0.264888
2021-09-16 16:55:02.874755 : Epoch  7, Batch   1649, Loss  0.884028, Average Loss  0.868625, Time  0.238042
2021-09-16 16:55:05.182451 : Epoch  9, Batch    956, Loss  0.877329, Average Loss  0.868343, Time  0.265015
2021-09-16 16:55:05.473713 : Epoch  7, Batch   1650, Loss  0.885928, Average Loss  0.868871, Time  0.237939
2021-09-16 16:55:08.075882 : Epoch  7, Batch   1651, Loss  0.861237, Average Loss  0.868801, Time  0.238437
2021-09-16 16:55:08.250725 : Epoch  9, Batch    957, Loss  0.864365, Average Loss  0.868348, Time  0.264354
2021-09-16 16:55:10.678259 : Epoch  7, Batch   1652, Loss  0.864197, Average Loss  0.868792, Time  0.237841
2021-09-16 16:55:11.292430 : Epoch  9, Batch    958, Loss  0.858768, Average Loss  0.868350, Time  0.264275
2021-09-16 16:55:13.288976 : Epoch  7, Batch   1653, Loss  0.854430, Average Loss  0.868790, Time  0.238246
2021-09-16 16:55:14.342067 : Epoch  9, Batch    959, Loss  0.893446, Average Loss  0.868439, Time  0.265312
2021-09-16 16:55:15.885707 : Epoch  7, Batch   1654, Loss  0.891926, Average Loss  0.868933, Time  0.238275
2021-09-16 16:55:17.393266 : Epoch  9, Batch    960, Loss  0.856397, Average Loss  0.868405, Time  0.264577
2021-09-16 16:55:18.486375 : Epoch  7, Batch   1655, Loss  0.880541, Average Loss  0.869052, Time  0.239140
2021-09-16 16:55:20.456494 : Epoch  9, Batch    961, Loss  0.846726, Average Loss  0.868393, Time  0.264928
2021-09-16 16:55:21.086364 : Epoch  7, Batch   1656, Loss  0.873458, Average Loss  0.868999, Time  0.238392
2021-09-16 16:55:23.534576 : Epoch  9, Batch    962, Loss  0.862011, Average Loss  0.868476, Time  0.264719
2021-09-16 16:55:23.703926 : Epoch  7, Batch   1657, Loss  0.860303, Average Loss  0.869028, Time  0.239234
2021-09-16 16:55:26.298202 : Epoch  7, Batch   1658, Loss  0.871158, Average Loss  0.869027, Time  0.238041
2021-09-16 16:55:26.599208 : Epoch  9, Batch    963, Loss  0.885833, Average Loss  0.868587, Time  0.265085
2021-09-16 16:55:28.911799 : Epoch  7, Batch   1659, Loss  0.855635, Average Loss  0.869084, Time  0.238919
2021-09-16 16:55:29.642691 : Epoch  9, Batch    964, Loss  0.867605, Average Loss  0.868634, Time  0.264912
2021-09-16 16:55:31.515929 : Epoch  7, Batch   1660, Loss  0.859437, Average Loss  0.869051, Time  0.238098
2021-09-16 16:55:32.699338 : Epoch  9, Batch    965, Loss  0.872287, Average Loss  0.868697, Time  0.265179
2021-09-16 16:55:34.106991 : Epoch  7, Batch   1661, Loss  0.891651, Average Loss  0.869211, Time  0.238262
2021-09-16 16:55:35.775747 : Epoch  9, Batch    966, Loss  0.885473, Average Loss  0.868792, Time  0.277448
2021-09-16 16:55:36.704072 : Epoch  7, Batch   1662, Loss  0.874182, Average Loss  0.869231, Time  0.238092
2021-09-16 16:55:38.827669 : Epoch  9, Batch    967, Loss  0.864997, Average Loss  0.868716, Time  0.266193
2021-09-16 16:55:39.307386 : Epoch  7, Batch   1663, Loss  0.864465, Average Loss  0.869186, Time  0.238357
2021-09-16 16:55:41.863827 : Epoch  9, Batch    968, Loss  0.865288, Average Loss  0.868738, Time  0.264491
2021-09-16 16:55:41.896347 : Epoch  7, Batch   1664, Loss  0.866757, Average Loss  0.869161, Time  0.238545
2021-09-16 16:55:44.972806 : Epoch  9, Batch    969, Loss  0.861099, Average Loss  0.868783, Time  0.265250
2021-09-16 16:55:48.052826 : Epoch  9, Batch    970, Loss  0.863904, Average Loss  0.868712, Time  0.264749
2021-09-16 16:55:51.130888 : Epoch  9, Batch    971, Loss  0.870674, Average Loss  0.868810, Time  0.264817
2021-09-16 16:55:54.215296 : Epoch  9, Batch    972, Loss  0.868837, Average Loss  0.868798, Time  0.264788
2021-09-16 16:55:57.277240 : Epoch  9, Batch    973, Loss  0.876482, Average Loss  0.868725, Time  0.265092
2021-09-16 16:56:00.334246 : Epoch  9, Batch    974, Loss  0.872089, Average Loss  0.868781, Time  0.264757
2021-09-16 16:56:03.414975 : Epoch  9, Batch    975, Loss  0.882697, Average Loss  0.868779, Time  0.264784
2021-09-16 16:56:06.494852 : Epoch  9, Batch    976, Loss  0.885026, Average Loss  0.868719, Time  0.267412
2021-09-16 16:56:09.569904 : Epoch  9, Batch    977, Loss  0.891668, Average Loss  0.868822, Time  0.265625
2021-09-16 16:56:12.613033 : Epoch  9, Batch    978, Loss  0.881652, Average Loss  0.868913, Time  0.266102
2021-09-16 16:56:15.663158 : Epoch  9, Batch    979, Loss  0.849484, Average Loss  0.868860, Time  0.265426
2021-09-16 16:56:18.714915 : Epoch  9, Batch    980, Loss  0.890712, Average Loss  0.868954, Time  0.265530
2021-09-16 16:56:21.785177 : Epoch  9, Batch    981, Loss  0.870155, Average Loss  0.868992, Time  0.274478
2021-09-16 16:56:24.835846 : Epoch  9, Batch    982, Loss  0.882470, Average Loss  0.869172, Time  0.265646
2021-09-16 16:56:27.904191 : Epoch  9, Batch    983, Loss  0.899073, Average Loss  0.869306, Time  0.264916
2021-09-16 16:56:30.968919 : Epoch  9, Batch    984, Loss  0.869209, Average Loss  0.869207, Time  0.265058
2021-09-16 16:56:34.027343 : Epoch  9, Batch    985, Loss  0.883532, Average Loss  0.869198, Time  0.265007
2021-09-16 16:56:37.078858 : Epoch  9, Batch    986, Loss  0.883436, Average Loss  0.869312, Time  0.264795
2021-09-16 16:56:40.135887 : Epoch  9, Batch    987, Loss  0.880304, Average Loss  0.869285, Time  0.264645
2021-09-16 16:56:43.197333 : Epoch  9, Batch    988, Loss  0.871301, Average Loss  0.869467, Time  0.265447
2021-09-16 16:56:46.258443 : Epoch  9, Batch    989, Loss  0.854872, Average Loss  0.869423, Time  0.265095
2021-09-16 16:56:49.319898 : Epoch  9, Batch    990, Loss  0.884488, Average Loss  0.869514, Time  0.264698
2021-09-16 16:56:52.378729 : Epoch  9, Batch    991, Loss  0.867425, Average Loss  0.869472, Time  0.265192
2021-09-16 16:56:55.450932 : Epoch  9, Batch    992, Loss  0.861502, Average Loss  0.869344, Time  0.264681
2021-09-16 16:56:58.513934 : Epoch  9, Batch    993, Loss  0.854141, Average Loss  0.869197, Time  0.265200
2021-09-16 16:57:01.575355 : Epoch  9, Batch    994, Loss  0.872660, Average Loss  0.869211, Time  0.265304
2021-09-16 16:57:04.660235 : Epoch  9, Batch    995, Loss  0.870464, Average Loss  0.869192, Time  0.265227
2021-09-16 16:57:07.733569 : Epoch  9, Batch    996, Loss  0.858948, Average Loss  0.869114, Time  0.276805
2021-09-16 16:57:10.801538 : Epoch  9, Batch    997, Loss  0.844074, Average Loss  0.869020, Time  0.265163
2021-09-16 16:57:13.865291 : Epoch  9, Batch    998, Loss  0.875178, Average Loss  0.869118, Time  0.266470
2021-09-16 16:57:16.934897 : Epoch  9, Batch    999, Loss  0.864063, Average Loss  0.869196, Time  0.265106
2021-09-16 16:57:20.004420 : Epoch  9, Batch   1000, Loss  0.896088, Average Loss  0.869360, Time  0.264963
2021-09-16 16:57:23.063162 : Epoch  9, Batch   1001, Loss  0.880935, Average Loss  0.869403, Time  0.264404
2021-09-16 16:57:26.123828 : Epoch  9, Batch   1002, Loss  0.881334, Average Loss  0.869430, Time  0.265367
2021-09-16 16:57:29.180278 : Epoch  9, Batch   1003, Loss  0.881153, Average Loss  0.869413, Time  0.264736
2021-09-16 16:57:32.270286 : Epoch  9, Batch   1004, Loss  0.869851, Average Loss  0.869351, Time  0.265376
2021-09-16 16:57:35.345049 : Epoch  9, Batch   1005, Loss  0.879648, Average Loss  0.869440, Time  0.265462
2021-09-16 16:57:38.412873 : Epoch  9, Batch   1006, Loss  0.865227, Average Loss  0.869378, Time  0.264672
2021-09-16 16:57:41.484360 : Epoch  9, Batch   1007, Loss  0.851622, Average Loss  0.869231, Time  0.264894
2021-09-16 16:57:44.527212 : Epoch  9, Batch   1008, Loss  0.884504, Average Loss  0.869337, Time  0.265170
2021-09-16 16:57:47.585225 : Epoch  9, Batch   1009, Loss  0.867574, Average Loss  0.869361, Time  0.264754
2021-09-16 16:57:50.652416 : Epoch  9, Batch   1010, Loss  0.839815, Average Loss  0.869150, Time  0.264510
2021-09-16 16:57:53.729871 : Epoch  9, Batch   1011, Loss  0.850783, Average Loss  0.868951, Time  0.273000
2021-09-16 16:57:56.791864 : Epoch  9, Batch   1012, Loss  0.865499, Average Loss  0.868916, Time  0.264778
2021-09-16 16:57:59.852298 : Epoch  9, Batch   1013, Loss  0.880877, Average Loss  0.868934, Time  0.264730
2021-09-16 16:58:02.904729 : Epoch  9, Batch   1014, Loss  0.878482, Average Loss  0.868980, Time  0.264661
2021-09-16 16:58:05.959196 : Epoch  9, Batch   1015, Loss  0.858326, Average Loss  0.868918, Time  0.264714
2021-09-16 16:58:09.032868 : Epoch  9, Batch   1016, Loss  0.860450, Average Loss  0.868899, Time  0.265370
2021-09-16 16:58:12.094489 : Epoch  9, Batch   1017, Loss  0.884437, Average Loss  0.868957, Time  0.264892
2021-09-16 16:58:15.171278 : Epoch  9, Batch   1018, Loss  0.877604, Average Loss  0.869061, Time  0.264748
2021-09-16 16:58:18.224098 : Epoch  9, Batch   1019, Loss  0.893629, Average Loss  0.869142, Time  0.264718
2021-09-16 16:58:21.290693 : Epoch  9, Batch   1020, Loss  0.881043, Average Loss  0.869120, Time  0.265576
2021-09-16 16:58:24.360063 : Epoch  9, Batch   1021, Loss  0.850421, Average Loss  0.869001, Time  0.265474
2021-09-16 16:58:27.404151 : Epoch  9, Batch   1022, Loss  0.884785, Average Loss  0.868999, Time  0.265622
2021-09-16 16:58:30.465695 : Epoch  9, Batch   1023, Loss  0.875398, Average Loss  0.869068, Time  0.264471
2021-09-16 16:58:33.527269 : Epoch  9, Batch   1024, Loss  0.857599, Average Loss  0.869081, Time  0.265211
2021-09-16 16:58:36.623445 : Epoch  9, Batch   1025, Loss  0.872547, Average Loss  0.869051, Time  0.265121
2021-09-16 16:58:39.710025 : Epoch  9, Batch   1026, Loss  0.858914, Average Loss  0.869058, Time  0.271424
2021-09-16 16:58:42.765795 : Epoch  9, Batch   1027, Loss  0.883272, Average Loss  0.869229, Time  0.264858
2021-09-16 16:58:45.847823 : Epoch  9, Batch   1028, Loss  0.881431, Average Loss  0.869353, Time  0.265036
2021-09-16 16:58:48.907771 : Epoch  9, Batch   1029, Loss  0.847918, Average Loss  0.869294, Time  0.264599
2021-09-16 16:58:51.970940 : Epoch  9, Batch   1030, Loss  0.877816, Average Loss  0.869410, Time  0.264617
2021-09-16 16:58:55.030954 : Epoch  9, Batch   1031, Loss  0.868686, Average Loss  0.869368, Time  0.265333
2021-09-16 16:58:58.092139 : Epoch  9, Batch   1032, Loss  0.856705, Average Loss  0.869368, Time  0.265404
2021-09-16 16:59:01.171974 : Epoch  9, Batch   1033, Loss  0.848928, Average Loss  0.869349, Time  0.264627
2021-09-16 16:59:04.232086 : Epoch  9, Batch   1034, Loss  0.856186, Average Loss  0.869313, Time  0.264625
2021-09-16 16:59:07.289994 : Epoch  9, Batch   1035, Loss  0.876993, Average Loss  0.869346, Time  0.265411
2021-09-16 16:59:10.359666 : Epoch  9, Batch   1036, Loss  0.876361, Average Loss  0.869420, Time  0.264452
2021-09-16 16:59:13.417858 : Epoch  9, Batch   1037, Loss  0.880135, Average Loss  0.869485, Time  0.264630
2021-09-16 16:59:16.477630 : Epoch  9, Batch   1038, Loss  0.882126, Average Loss  0.869577, Time  0.267152
2021-09-16 16:59:19.521353 : Epoch  9, Batch   1039, Loss  0.870539, Average Loss  0.869632, Time  0.264529
2021-09-16 16:59:22.592766 : Epoch  9, Batch   1040, Loss  0.871760, Average Loss  0.869569, Time  0.264874
2021-09-16 16:59:25.653795 : Epoch  9, Batch   1041, Loss  0.849399, Average Loss  0.869499, Time  0.272983
2021-09-16 16:59:28.710353 : Epoch  9, Batch   1042, Loss  0.869792, Average Loss  0.869468, Time  0.265250
2021-09-16 16:59:31.755742 : Epoch  9, Batch   1043, Loss  0.844267, Average Loss  0.869365, Time  0.265212
2021-09-16 16:59:34.809281 : Epoch  9, Batch   1044, Loss  0.881077, Average Loss  0.869447, Time  0.265881
2021-09-16 16:59:37.871219 : Epoch  9, Batch   1045, Loss  0.864848, Average Loss  0.869482, Time  0.264695
2021-09-16 16:59:40.937305 : Epoch  9, Batch   1046, Loss  0.874168, Average Loss  0.869410, Time  0.265737
2021-09-16 16:59:42.476618 : CheckPoint: Validation Loss  0.00031196, Best Loss  0.00029207
2021-09-16 16:59:43.995381 : Epoch  9, Batch   1047, Loss  0.869608, Average Loss  0.869461, Time  0.264615
2021-09-16 16:59:45.048018 : Epoch  7, Batch   1665, Loss  0.870931, Average Loss  0.869122, Time  0.239622
2021-09-16 16:59:47.046160 : Epoch  9, Batch   1048, Loss  0.859775, Average Loss  0.869411, Time  0.266809
2021-09-16 16:59:47.631681 : Epoch  7, Batch   1666, Loss  0.884469, Average Loss  0.869154, Time  0.238182
2021-09-16 16:59:50.101767 : Epoch  9, Batch   1049, Loss  0.847024, Average Loss  0.869297, Time  0.264347
2021-09-16 16:59:50.212276 : Epoch  7, Batch   1667, Loss  0.874537, Average Loss  0.869228, Time  0.237838
2021-09-16 16:59:52.785082 : Epoch  7, Batch   1668, Loss  0.859818, Average Loss  0.869223, Time  0.238155
2021-09-16 16:59:53.172739 : Epoch  9, Batch   1050, Loss  0.857306, Average Loss  0.869215, Time  0.264872
2021-09-16 16:59:55.357759 : Epoch  7, Batch   1669, Loss  0.887248, Average Loss  0.869328, Time  0.238190
2021-09-16 16:59:56.227439 : Epoch  9, Batch   1051, Loss  0.873178, Average Loss  0.869151, Time  0.265405
2021-09-16 16:59:57.935719 : Epoch  7, Batch   1670, Loss  0.864862, Average Loss  0.869381, Time  0.238074
2021-09-16 16:59:59.283282 : Epoch  9, Batch   1052, Loss  0.880236, Average Loss  0.869134, Time  0.264887
2021-09-16 17:00:00.512735 : Epoch  7, Batch   1671, Loss  0.858757, Average Loss  0.869212, Time  0.238335
2021-09-16 17:00:03.092906 : Epoch  7, Batch   1672, Loss  0.866609, Average Loss  0.869209, Time  0.239254
2021-09-16 17:00:05.666073 : Epoch  7, Batch   1673, Loss  0.864833, Average Loss  0.869259, Time  0.238461
2021-09-16 17:00:08.250237 : Epoch  7, Batch   1674, Loss  0.860009, Average Loss  0.869178, Time  0.238628
2021-09-16 17:00:10.831079 : Epoch  7, Batch   1675, Loss  0.889467, Average Loss  0.869325, Time  0.238279
2021-09-16 17:00:13.410011 : Epoch  7, Batch   1676, Loss  0.883952, Average Loss  0.869301, Time  0.238405
2021-09-16 17:00:15.987903 : Epoch  7, Batch   1677, Loss  0.871357, Average Loss  0.869315, Time  0.238425
2021-09-16 17:00:18.562072 : Epoch  7, Batch   1678, Loss  0.834649, Average Loss  0.869256, Time  0.239388
2021-09-16 17:00:21.135182 : Epoch  7, Batch   1679, Loss  0.882335, Average Loss  0.869288, Time  0.237806
2021-09-16 17:00:23.720984 : Epoch  7, Batch   1680, Loss  0.855629, Average Loss  0.869208, Time  0.241897
2021-09-16 17:00:26.305213 : Epoch  7, Batch   1681, Loss  0.871128, Average Loss  0.869223, Time  0.238169
2021-09-16 17:00:28.877963 : Epoch  7, Batch   1682, Loss  0.863414, Average Loss  0.869180, Time  0.237995
2021-09-16 17:00:31.455999 : Epoch  7, Batch   1683, Loss  0.867612, Average Loss  0.869147, Time  0.238709
2021-09-16 17:00:34.036093 : Epoch  7, Batch   1684, Loss  0.860092, Average Loss  0.869050, Time  0.237874
2021-09-16 17:00:36.623972 : Epoch  7, Batch   1685, Loss  0.887450, Average Loss  0.869145, Time  0.237895
2021-09-16 17:00:39.210077 : Epoch  7, Batch   1686, Loss  0.864505, Average Loss  0.869148, Time  0.238239
2021-09-16 17:00:41.796946 : Epoch  7, Batch   1687, Loss  0.857722, Average Loss  0.869058, Time  0.238171
2021-09-16 17:00:44.384753 : Epoch  7, Batch   1688, Loss  0.868332, Average Loss  0.869088, Time  0.238029
2021-09-16 17:00:46.976037 : Epoch  7, Batch   1689, Loss  0.854424, Average Loss  0.868942, Time  0.237727
2021-09-16 17:00:49.557705 : Epoch  7, Batch   1690, Loss  0.853307, Average Loss  0.868936, Time  0.238164
2021-09-16 17:00:52.134084 : Epoch  7, Batch   1691, Loss  0.877120, Average Loss  0.868990, Time  0.239275
2021-09-16 17:00:54.703443 : Epoch  7, Batch   1692, Loss  0.877500, Average Loss  0.869049, Time  0.237751
2021-09-16 17:00:57.296930 : Epoch  7, Batch   1693, Loss  0.862992, Average Loss  0.868968, Time  0.238284
2021-09-16 17:00:59.882068 : Epoch  7, Batch   1694, Loss  0.879615, Average Loss  0.869040, Time  0.238275
2021-09-16 17:01:02.469224 : Epoch  7, Batch   1695, Loss  0.883146, Average Loss  0.869265, Time  0.239875
2021-09-16 17:01:05.048731 : Epoch  7, Batch   1696, Loss  0.874036, Average Loss  0.869289, Time  0.238274
2021-09-16 17:01:07.627840 : Epoch  7, Batch   1697, Loss  0.876095, Average Loss  0.869338, Time  0.238510
2021-09-16 17:01:10.204006 : Epoch  7, Batch   1698, Loss  0.870700, Average Loss  0.869349, Time  0.238158
2021-09-16 17:01:12.778727 : Epoch  7, Batch   1699, Loss  0.867159, Average Loss  0.869316, Time  0.238291
2021-09-16 17:01:15.351049 : Epoch  7, Batch   1700, Loss  0.866024, Average Loss  0.869228, Time  0.238101
2021-09-16 17:01:17.937957 : Epoch  7, Batch   1701, Loss  0.857541, Average Loss  0.869241, Time  0.238502
2021-09-16 17:01:20.514160 : Epoch  7, Batch   1702, Loss  0.877717, Average Loss  0.869389, Time  0.237806
2021-09-16 17:01:23.090727 : Epoch  7, Batch   1703, Loss  0.881040, Average Loss  0.869355, Time  0.237676
2021-09-16 17:01:25.666848 : Epoch  7, Batch   1704, Loss  0.875465, Average Loss  0.869512, Time  0.238199
2021-09-16 17:01:28.255992 : Epoch  7, Batch   1705, Loss  0.875370, Average Loss  0.869548, Time  0.238352
2021-09-16 17:01:30.834701 : Epoch  7, Batch   1706, Loss  0.885566, Average Loss  0.869713, Time  0.237767
2021-09-16 17:01:33.406741 : Epoch  7, Batch   1707, Loss  0.879497, Average Loss  0.869723, Time  0.238631
2021-09-16 17:01:35.985823 : Epoch  7, Batch   1708, Loss  0.879200, Average Loss  0.869863, Time  0.237735
2021-09-16 17:01:38.571171 : Epoch  7, Batch   1709, Loss  0.882783, Average Loss  0.869932, Time  0.237987
2021-09-16 17:01:41.145187 : Epoch  7, Batch   1710, Loss  0.876979, Average Loss  0.869986, Time  0.238028
2021-09-16 17:01:43.720959 : Epoch  7, Batch   1711, Loss  0.872108, Average Loss  0.870068, Time  0.237727
2021-09-16 17:01:46.293759 : Epoch  7, Batch   1712, Loss  0.885803, Average Loss  0.870146, Time  0.238699
2021-09-16 17:01:48.866166 : Epoch  7, Batch   1713, Loss  0.867728, Average Loss  0.870115, Time  0.237845
2021-09-16 17:01:51.451514 : Epoch  7, Batch   1714, Loss  0.850089, Average Loss  0.870049, Time  0.238076
2021-09-16 17:01:54.020953 : Epoch  7, Batch   1715, Loss  0.870020, Average Loss  0.870073, Time  0.238345
2021-09-16 17:01:56.593931 : Epoch  7, Batch   1716, Loss  0.872338, Average Loss  0.869929, Time  0.238032
2021-09-16 17:01:59.194294 : Epoch  7, Batch   1717, Loss  0.899959, Average Loss  0.870006, Time  0.238365
2021-09-16 17:02:01.773122 : Epoch  7, Batch   1718, Loss  0.873910, Average Loss  0.870096, Time  0.238857
2021-09-16 17:02:04.344161 : Epoch  7, Batch   1719, Loss  0.850933, Average Loss  0.869974, Time  0.237726
2021-09-16 17:02:06.917755 : Epoch  7, Batch   1720, Loss  0.890047, Average Loss  0.870072, Time  0.238166
2021-09-16 17:02:09.509278 : Epoch  7, Batch   1721, Loss  0.856368, Average Loss  0.870001, Time  0.238806
2021-09-16 17:02:12.089960 : Epoch  7, Batch   1722, Loss  0.871010, Average Loss  0.869982, Time  0.238099
2021-09-16 17:02:14.663915 : Epoch  7, Batch   1723, Loss  0.892584, Average Loss  0.870076, Time  0.237956
2021-09-16 17:02:17.260206 : Epoch  7, Batch   1724, Loss  0.880478, Average Loss  0.870212, Time  0.238277
2021-09-16 17:02:19.857270 : Epoch  7, Batch   1725, Loss  0.878170, Average Loss  0.870265, Time  0.262112
2021-09-16 17:02:22.430034 : Epoch  7, Batch   1726, Loss  0.855223, Average Loss  0.870185, Time  0.237890
2021-09-16 17:02:25.023252 : Epoch  7, Batch   1727, Loss  0.893064, Average Loss  0.870411, Time  0.238858
2021-09-16 17:02:27.600982 : Epoch  7, Batch   1728, Loss  0.869379, Average Loss  0.870322, Time  0.237593
2021-09-16 17:02:30.182169 : Epoch  7, Batch   1729, Loss  0.861680, Average Loss  0.870286, Time  0.238223
2021-09-16 17:02:32.751999 : Epoch  7, Batch   1730, Loss  0.860416, Average Loss  0.870200, Time  0.238046
2021-09-16 17:02:35.334080 : Epoch  7, Batch   1731, Loss  0.847051, Average Loss  0.870072, Time  0.238356
2021-09-16 17:02:37.922987 : Epoch  7, Batch   1732, Loss  0.858810, Average Loss  0.869954, Time  0.238598
2021-09-16 17:02:40.500991 : Epoch  7, Batch   1733, Loss  0.856391, Average Loss  0.869887, Time  0.238003
2021-09-16 17:02:43.071179 : Epoch  7, Batch   1734, Loss  0.889238, Average Loss  0.869946, Time  0.238007
2021-09-16 17:02:45.644026 : Epoch  7, Batch   1735, Loss  0.877655, Average Loss  0.869962, Time  0.237875
2021-09-16 17:02:48.214987 : Epoch  7, Batch   1736, Loss  0.876803, Average Loss  0.869989, Time  0.237775
2021-09-16 17:02:50.795719 : Epoch  7, Batch   1737, Loss  0.848173, Average Loss  0.869897, Time  0.238266
2021-09-16 17:02:53.381975 : Epoch  7, Batch   1738, Loss  0.891306, Average Loss  0.870049, Time  0.238573
2021-09-16 17:02:55.966048 : Epoch  7, Batch   1739, Loss  0.850030, Average Loss  0.869899, Time  0.237902
2021-09-16 17:02:58.546900 : Epoch  7, Batch   1740, Loss  0.846652, Average Loss  0.869841, Time  0.238359
2021-09-16 17:03:01.125047 : Epoch  7, Batch   1741, Loss  0.863328, Average Loss  0.869865, Time  0.238442
2021-09-16 17:03:03.710213 : Epoch  7, Batch   1742, Loss  0.866463, Average Loss  0.869802, Time  0.239106
2021-09-16 17:03:06.291039 : Epoch  7, Batch   1743, Loss  0.876859, Average Loss  0.869865, Time  0.238320
2021-09-16 17:03:08.883470 : Epoch  7, Batch   1744, Loss  0.865613, Average Loss  0.869844, Time  0.239157
2021-09-16 17:03:11.459950 : Epoch  7, Batch   1745, Loss  0.865567, Average Loss  0.869787, Time  0.237814
2021-09-16 17:03:14.032134 : Epoch  7, Batch   1746, Loss  0.882332, Average Loss  0.869843, Time  0.238347
2021-09-16 17:03:16.607254 : Epoch  7, Batch   1747, Loss  0.865996, Average Loss  0.869760, Time  0.238073
2021-09-16 17:03:19.175728 : Epoch  7, Batch   1748, Loss  0.869434, Average Loss  0.869674, Time  0.238247
2021-09-16 17:03:21.762326 : Epoch  7, Batch   1749, Loss  0.858788, Average Loss  0.869586, Time  0.238182
2021-09-16 17:03:24.357114 : Epoch  7, Batch   1750, Loss  0.874183, Average Loss  0.869550, Time  0.237895
2021-09-16 17:03:26.931970 : Epoch  7, Batch   1751, Loss  0.867967, Average Loss  0.869564, Time  0.237984
2021-09-16 17:03:29.511006 : Epoch  7, Batch   1752, Loss  0.849057, Average Loss  0.869432, Time  0.238351
2021-09-16 17:03:32.087069 : Epoch  7, Batch   1753, Loss  0.868062, Average Loss  0.869392, Time  0.238126
2021-09-16 17:03:34.664201 : Epoch  7, Batch   1754, Loss  0.853310, Average Loss  0.869345, Time  0.238378
2021-09-16 17:03:37.237235 : Epoch  7, Batch   1755, Loss  0.865607, Average Loss  0.869269, Time  0.237991
2021-09-16 17:03:39.814986 : Epoch  7, Batch   1756, Loss  0.890424, Average Loss  0.869421, Time  0.238058
2021-09-16 17:03:42.387974 : Epoch  7, Batch   1757, Loss  0.844859, Average Loss  0.869295, Time  0.238063
2021-09-16 17:03:44.963956 : Epoch  7, Batch   1758, Loss  0.887323, Average Loss  0.869410, Time  0.237784
2021-09-16 17:03:47.553084 : Epoch  7, Batch   1759, Loss  0.860676, Average Loss  0.869373, Time  0.238281
2021-09-16 17:03:50.130704 : Epoch  7, Batch   1760, Loss  0.888189, Average Loss  0.869528, Time  0.239033
2021-09-16 17:03:52.705160 : Epoch  7, Batch   1761, Loss  0.868784, Average Loss  0.869530, Time  0.238770
2021-09-16 17:03:55.271768 : Epoch  7, Batch   1762, Loss  0.873471, Average Loss  0.869576, Time  0.238369
2021-09-16 17:03:57.851300 : Epoch  7, Batch   1763, Loss  0.862367, Average Loss  0.869490, Time  0.238167
2021-09-16 17:04:00.428291 : Epoch  7, Batch   1764, Loss  0.888100, Average Loss  0.869496, Time  0.238091
2021-09-16 17:04:41.058767 : CheckPoint: Validation Loss  0.00030074, Best Loss  0.00029014
2021-09-16 17:04:44.133669 : Epoch  9, Batch   1053, Loss  0.851068, Average Loss  0.869041, Time  0.276240
2021-09-16 17:04:47.191212 : Epoch  9, Batch   1054, Loss  0.876947, Average Loss  0.868938, Time  0.265597
2021-09-16 17:04:50.256900 : Epoch  9, Batch   1055, Loss  0.887169, Average Loss  0.869028, Time  0.265272
2021-09-16 17:04:53.312887 : Epoch  9, Batch   1056, Loss  0.860768, Average Loss  0.868990, Time  0.264652
2021-09-16 17:04:56.380830 : Epoch  9, Batch   1057, Loss  0.845616, Average Loss  0.868966, Time  0.264867
2021-09-16 17:04:59.435685 : Epoch  9, Batch   1058, Loss  0.899268, Average Loss  0.869109, Time  0.264529
2021-09-16 17:05:02.488120 : Epoch  9, Batch   1059, Loss  0.878559, Average Loss  0.869155, Time  0.264858
2021-09-16 17:05:05.548093 : Epoch  9, Batch   1060, Loss  0.869786, Average Loss  0.869189, Time  0.264917
2021-09-16 17:05:08.609220 : Epoch  9, Batch   1061, Loss  0.890645, Average Loss  0.869257, Time  0.265126
2021-09-16 17:05:11.667392 : Epoch  9, Batch   1062, Loss  0.866138, Average Loss  0.869170, Time  0.264823
2021-09-16 17:05:14.713696 : Epoch  9, Batch   1063, Loss  0.883885, Average Loss  0.869345, Time  0.264992
2021-09-16 17:05:17.775563 : Epoch  9, Batch   1064, Loss  0.877909, Average Loss  0.869470, Time  0.265239
2021-09-16 17:05:20.839231 : Epoch  9, Batch   1065, Loss  0.891097, Average Loss  0.869640, Time  0.267149
2021-09-16 17:05:23.901983 : Epoch  9, Batch   1066, Loss  0.885445, Average Loss  0.869692, Time  0.264908
2021-09-16 17:05:26.966709 : Epoch  9, Batch   1067, Loss  0.871190, Average Loss  0.869640, Time  0.274704
2021-09-16 17:05:30.045282 : Epoch  9, Batch   1068, Loss  0.857201, Average Loss  0.869491, Time  0.265018
2021-09-16 17:05:33.120272 : Epoch  9, Batch   1069, Loss  0.847421, Average Loss  0.869457, Time  0.264621
2021-09-16 17:05:36.191922 : Epoch  9, Batch   1070, Loss  0.857494, Average Loss  0.869425, Time  0.266139
2021-09-16 17:05:39.269274 : Epoch  9, Batch   1071, Loss  0.872245, Average Loss  0.869408, Time  0.264950
2021-09-16 17:05:42.343924 : Epoch  9, Batch   1072, Loss  0.886879, Average Loss  0.869377, Time  0.265095
2021-09-16 17:05:45.414066 : Epoch  9, Batch   1073, Loss  0.867570, Average Loss  0.869407, Time  0.264766
2021-09-16 17:05:48.477493 : Epoch  9, Batch   1074, Loss  0.880478, Average Loss  0.869491, Time  0.264938
2021-09-16 17:05:51.536363 : Epoch  9, Batch   1075, Loss  0.867826, Average Loss  0.869543, Time  0.264974
2021-09-16 17:05:54.589931 : Epoch  9, Batch   1076, Loss  0.861731, Average Loss  0.869523, Time  0.265053
2021-09-16 17:05:57.666817 : Epoch  9, Batch   1077, Loss  0.873824, Average Loss  0.869589, Time  0.264908
2021-09-16 17:06:00.717202 : Epoch  9, Batch   1078, Loss  0.864754, Average Loss  0.869623, Time  0.267377
2021-09-16 17:06:03.778572 : Epoch  9, Batch   1079, Loss  0.884237, Average Loss  0.869557, Time  0.265190
2021-09-16 17:06:06.842464 : Epoch  9, Batch   1080, Loss  0.870682, Average Loss  0.869460, Time  0.265182
2021-09-16 17:06:09.913928 : Epoch  9, Batch   1081, Loss  0.882667, Average Loss  0.869525, Time  0.265123
2021-09-16 17:06:12.997544 : Epoch  9, Batch   1082, Loss  0.857716, Average Loss  0.869568, Time  0.278380
2021-09-16 17:06:16.058494 : Epoch  9, Batch   1083, Loss  0.868072, Average Loss  0.869516, Time  0.266308
2021-09-16 17:06:19.131899 : Epoch  9, Batch   1084, Loss  0.873232, Average Loss  0.869466, Time  0.271738
2021-09-16 17:06:22.204836 : Epoch  9, Batch   1085, Loss  0.866078, Average Loss  0.869410, Time  0.265239
2021-09-16 17:06:25.268048 : Epoch  9, Batch   1086, Loss  0.881037, Average Loss  0.869333, Time  0.264457
2021-09-16 17:06:28.323958 : Epoch  9, Batch   1087, Loss  0.839071, Average Loss  0.869288, Time  0.264704
2021-09-16 17:06:31.387510 : Epoch  9, Batch   1088, Loss  0.874612, Average Loss  0.869214, Time  0.264472
2021-09-16 17:06:34.440682 : Epoch  9, Batch   1089, Loss  0.881040, Average Loss  0.869247, Time  0.264588
2021-09-16 17:06:37.494217 : Epoch  9, Batch   1090, Loss  0.851904, Average Loss  0.869036, Time  0.264353
2021-09-16 17:06:40.565758 : Epoch  9, Batch   1091, Loss  0.869398, Average Loss  0.869054, Time  0.267617
2021-09-16 17:06:43.627895 : Epoch  9, Batch   1092, Loss  0.878573, Average Loss  0.869110, Time  0.266673
2021-09-16 17:06:46.704464 : Epoch  9, Batch   1093, Loss  0.873734, Average Loss  0.869164, Time  0.264834
2021-09-16 17:06:49.777075 : Epoch  9, Batch   1094, Loss  0.865597, Average Loss  0.869227, Time  0.264819
2021-09-16 17:06:52.840517 : Epoch  9, Batch   1095, Loss  0.846106, Average Loss  0.869073, Time  0.266753
2021-09-16 17:06:55.901730 : Epoch  9, Batch   1096, Loss  0.885678, Average Loss  0.869289, Time  0.265623
2021-09-16 17:06:58.978405 : Epoch  9, Batch   1097, Loss  0.876778, Average Loss  0.869318, Time  0.276875
2021-09-16 17:07:02.060133 : Epoch  9, Batch   1098, Loss  0.859143, Average Loss  0.869316, Time  0.266793
2021-09-16 17:07:05.125829 : Epoch  9, Batch   1099, Loss  0.901756, Average Loss  0.869529, Time  0.265934
2021-09-16 17:07:08.189656 : Epoch  9, Batch   1100, Loss  0.870719, Average Loss  0.869546, Time  0.265836
2021-09-16 17:07:11.252689 : Epoch  9, Batch   1101, Loss  0.854844, Average Loss  0.869481, Time  0.265056
2021-09-16 17:07:14.315009 : Epoch  9, Batch   1102, Loss  0.845358, Average Loss  0.869396, Time  0.265600
2021-09-16 17:07:17.386902 : Epoch  9, Batch   1103, Loss  0.888047, Average Loss  0.869543, Time  0.265449
2021-09-16 17:07:20.442526 : Epoch  9, Batch   1104, Loss  0.870726, Average Loss  0.869661, Time  0.265364
2021-09-16 17:07:23.500163 : Epoch  9, Batch   1105, Loss  0.850357, Average Loss  0.869715, Time  0.264936
2021-09-16 17:07:26.579525 : Epoch  9, Batch   1106, Loss  0.858656, Average Loss  0.869729, Time  0.264883
2021-09-16 17:07:29.639823 : Epoch  9, Batch   1107, Loss  0.855890, Average Loss  0.869696, Time  0.265274
2021-09-16 17:07:32.706972 : Epoch  9, Batch   1108, Loss  0.873270, Average Loss  0.869754, Time  0.266501
2021-09-16 17:07:35.766232 : Epoch  9, Batch   1109, Loss  0.880173, Average Loss  0.869879, Time  0.264842
2021-09-16 17:07:38.838337 : Epoch  9, Batch   1110, Loss  0.856534, Average Loss  0.869807, Time  0.265041
2021-09-16 17:07:41.906374 : Epoch  9, Batch   1111, Loss  0.888957, Average Loss  0.869989, Time  0.265561
2021-09-16 17:07:44.973962 : Epoch  9, Batch   1112, Loss  0.857142, Average Loss  0.869936, Time  0.275717
2021-09-16 17:07:48.038891 : Epoch  9, Batch   1113, Loss  0.870591, Average Loss  0.869998, Time  0.265473
2021-09-16 17:07:51.103748 : Epoch  9, Batch   1114, Loss  0.877435, Average Loss  0.869920, Time  0.265189
2021-09-16 17:07:54.166562 : Epoch  9, Batch   1115, Loss  0.868958, Average Loss  0.869926, Time  0.265901
2021-09-16 17:07:57.239336 : Epoch  9, Batch   1116, Loss  0.870714, Average Loss  0.869918, Time  0.264604
2021-09-16 17:08:00.296812 : Epoch  9, Batch   1117, Loss  0.852635, Average Loss  0.869823, Time  0.264414
2021-09-16 17:08:01.964708 : CheckPoint: Validation Loss  0.00031169, Best Loss  0.00029207
2021-09-16 17:08:03.367742 : Epoch  9, Batch   1118, Loss  0.876194, Average Loss  0.869948, Time  0.265238
2021-09-16 17:08:04.543648 : Epoch  7, Batch   1765, Loss  0.866706, Average Loss  0.869560, Time  0.239446
2021-09-16 17:08:06.465170 : Epoch  9, Batch   1119, Loss  0.870925, Average Loss  0.869819, Time  0.264618
2021-09-16 17:08:07.137042 : Epoch  7, Batch   1766, Loss  0.875484, Average Loss  0.869544, Time  0.237874
2021-09-16 17:08:09.545483 : Epoch  9, Batch   1120, Loss  0.881023, Average Loss  0.869812, Time  0.265490
2021-09-16 17:08:09.740950 : Epoch  7, Batch   1767, Loss  0.880671, Average Loss  0.869630, Time  0.237671
2021-09-16 17:08:12.322019 : Epoch  7, Batch   1768, Loss  0.869717, Average Loss  0.869608, Time  0.238366
2021-09-16 17:08:12.593620 : Epoch  9, Batch   1121, Loss  0.867914, Average Loss  0.869827, Time  0.265337
2021-09-16 17:08:14.918794 : Epoch  7, Batch   1769, Loss  0.874734, Average Loss  0.869693, Time  0.238518
2021-09-16 17:08:15.641053 : Epoch  9, Batch   1122, Loss  0.875102, Average Loss  0.869770, Time  0.265094
2021-09-16 17:08:17.522774 : Epoch  7, Batch   1770, Loss  0.889719, Average Loss  0.869781, Time  0.237759
2021-09-16 17:08:18.697818 : Epoch  9, Batch   1123, Loss  0.882421, Average Loss  0.869793, Time  0.265346
2021-09-16 17:08:20.129780 : Epoch  7, Batch   1771, Loss  0.883079, Average Loss  0.869790, Time  0.237919
2021-09-16 17:08:21.762084 : Epoch  9, Batch   1124, Loss  0.849874, Average Loss  0.869709, Time  0.265065
2021-09-16 17:08:22.732166 : Epoch  7, Batch   1772, Loss  0.881595, Average Loss  0.869815, Time  0.237791
2021-09-16 17:08:24.819422 : Epoch  9, Batch   1125, Loss  0.866636, Average Loss  0.869729, Time  0.265252
2021-09-16 17:08:25.332076 : Epoch  7, Batch   1773, Loss  0.854284, Average Loss  0.869760, Time  0.237940
2021-09-16 17:08:27.881798 : Epoch  9, Batch   1126, Loss  0.874093, Average Loss  0.869673, Time  0.264918
2021-09-16 17:08:27.913963 : Epoch  7, Batch   1774, Loss  0.859619, Average Loss  0.869725, Time  0.237822
2021-09-16 17:08:30.507740 : Epoch  7, Batch   1775, Loss  0.848678, Average Loss  0.869658, Time  0.241311
2021-09-16 17:08:30.967567 : Epoch  9, Batch   1127, Loss  0.836934, Average Loss  0.869616, Time  0.274025
2021-09-16 17:08:33.107269 : Epoch  7, Batch   1776, Loss  0.864685, Average Loss  0.869571, Time  0.237792
2021-09-16 17:08:34.006789 : Epoch  9, Batch   1128, Loss  0.885744, Average Loss  0.869608, Time  0.265552
2021-09-16 17:08:35.693629 : Epoch  7, Batch   1777, Loss  0.877614, Average Loss  0.869584, Time  0.238019
2021-09-16 17:08:37.062989 : Epoch  9, Batch   1129, Loss  0.847273, Average Loss  0.869490, Time  0.264545
2021-09-16 17:08:38.285315 : Epoch  7, Batch   1778, Loss  0.863733, Average Loss  0.869440, Time  0.237992
2021-09-16 17:08:40.138059 : Epoch  9, Batch   1130, Loss  0.872663, Average Loss  0.869657, Time  0.264730
2021-09-16 17:08:40.883244 : Epoch  7, Batch   1779, Loss  0.873764, Average Loss  0.869370, Time  0.239203
2021-09-16 17:08:43.206214 : Epoch  9, Batch   1131, Loss  0.857578, Average Loss  0.869625, Time  0.264496
2021-09-16 17:08:43.490370 : Epoch  7, Batch   1780, Loss  0.864334, Average Loss  0.869406, Time  0.238192
2021-09-16 17:08:46.069218 : Epoch  7, Batch   1781, Loss  0.864960, Average Loss  0.869371, Time  0.238663
2021-09-16 17:08:46.267962 : Epoch  9, Batch   1132, Loss  0.843904, Average Loss  0.869459, Time  0.264994
2021-09-16 17:08:48.668991 : Epoch  7, Batch   1782, Loss  0.870633, Average Loss  0.869360, Time  0.238038
2021-09-16 17:08:49.354255 : Epoch  9, Batch   1133, Loss  0.869108, Average Loss  0.869547, Time  0.265162
2021-09-16 17:08:51.269856 : Epoch  7, Batch   1783, Loss  0.855264, Average Loss  0.869203, Time  0.238441
2021-09-16 17:08:52.417338 : Epoch  9, Batch   1134, Loss  0.869666, Average Loss  0.869570, Time  0.266836
2021-09-16 17:08:53.879738 : Epoch  7, Batch   1784, Loss  0.879011, Average Loss  0.869312, Time  0.238227
2021-09-16 17:08:55.485006 : Epoch  9, Batch   1135, Loss  0.883444, Average Loss  0.869616, Time  0.264764
2021-09-16 17:08:56.483252 : Epoch  7, Batch   1785, Loss  0.853097, Average Loss  0.869201, Time  0.237906
2021-09-16 17:08:58.544869 : Epoch  9, Batch   1136, Loss  0.873418, Average Loss  0.869757, Time  0.265125
2021-09-16 17:08:59.088816 : Epoch  7, Batch   1786, Loss  0.862823, Average Loss  0.869107, Time  0.238825
2021-09-16 17:09:01.612867 : Epoch  9, Batch   1137, Loss  0.873951, Average Loss  0.869753, Time  0.265319
2021-09-16 17:09:01.691025 : Epoch  7, Batch   1787, Loss  0.871322, Average Loss  0.869175, Time  0.237978
2021-09-16 17:09:04.291857 : Epoch  7, Batch   1788, Loss  0.892829, Average Loss  0.869380, Time  0.238003
2021-09-16 17:09:04.687572 : Epoch  9, Batch   1138, Loss  0.869190, Average Loss  0.869665, Time  0.265053
2021-09-16 17:09:06.893039 : Epoch  7, Batch   1789, Loss  0.881059, Average Loss  0.869439, Time  0.238520
2021-09-16 17:09:07.749068 : Epoch  9, Batch   1139, Loss  0.879445, Average Loss  0.869671, Time  0.264929
2021-09-16 17:09:09.490099 : Epoch  7, Batch   1790, Loss  0.870994, Average Loss  0.869397, Time  0.238062
2021-09-16 17:09:10.813412 : Epoch  9, Batch   1140, Loss  0.880967, Average Loss  0.869715, Time  0.265641
2021-09-16 17:09:12.088249 : Epoch  7, Batch   1791, Loss  0.868648, Average Loss  0.869366, Time  0.237917
2021-09-16 17:09:13.870941 : Epoch  9, Batch   1141, Loss  0.855582, Average Loss  0.869663, Time  0.265438
2021-09-16 17:09:14.693985 : Epoch  7, Batch   1792, Loss  0.864861, Average Loss  0.869322, Time  0.237651
2021-09-16 17:09:16.927346 : Epoch  9, Batch   1142, Loss  0.873250, Average Loss  0.869762, Time  0.273793
2021-09-16 17:09:17.294005 : Epoch  7, Batch   1793, Loss  0.893800, Average Loss  0.869362, Time  0.237754
2021-09-16 17:09:19.876991 : Epoch  7, Batch   1794, Loss  0.865247, Average Loss  0.869459, Time  0.238293
2021-09-16 17:09:20.002923 : Epoch  9, Batch   1143, Loss  0.870685, Average Loss  0.869743, Time  0.265045
2021-09-16 17:09:22.479787 : Epoch  7, Batch   1795, Loss  0.889052, Average Loss  0.869525, Time  0.238317
2021-09-16 17:09:23.062225 : Epoch  9, Batch   1144, Loss  0.858443, Average Loss  0.869717, Time  0.264707
2021-09-16 17:09:25.074498 : Epoch  7, Batch   1796, Loss  0.856935, Average Loss  0.869542, Time  0.238290
2021-09-16 17:09:26.126058 : Epoch  9, Batch   1145, Loss  0.856447, Average Loss  0.869595, Time  0.264572
2021-09-16 17:09:27.666248 : Epoch  7, Batch   1797, Loss  0.858442, Average Loss  0.869535, Time  0.237596
2021-09-16 17:09:29.206061 : Epoch  9, Batch   1146, Loss  0.870104, Average Loss  0.869539, Time  0.264817
2021-09-16 17:09:30.262015 : Epoch  7, Batch   1798, Loss  0.875267, Average Loss  0.869550, Time  0.237859
2021-09-16 17:09:32.256921 : Epoch  9, Batch   1147, Loss  0.861755, Average Loss  0.869633, Time  0.264495
2021-09-16 17:09:32.862996 : Epoch  7, Batch   1799, Loss  0.847073, Average Loss  0.869439, Time  0.237717
2021-09-16 17:09:35.327374 : Epoch  9, Batch   1148, Loss  0.887458, Average Loss  0.869661, Time  0.264939
2021-09-16 17:09:35.464999 : Epoch  7, Batch   1800, Loss  0.884381, Average Loss  0.869400, Time  0.237683
2021-09-16 17:09:38.050978 : Epoch  7, Batch   1801, Loss  0.846204, Average Loss  0.869250, Time  0.238389
2021-09-16 17:09:38.381196 : Epoch  9, Batch   1149, Loss  0.859935, Average Loss  0.869680, Time  0.264881
2021-09-16 17:09:40.659964 : Epoch  7, Batch   1802, Loss  0.878925, Average Loss  0.869342, Time  0.237852
2021-09-16 17:09:41.426171 : Epoch  9, Batch   1150, Loss  0.847605, Average Loss  0.869540, Time  0.265620
2021-09-16 17:09:43.265150 : Epoch  7, Batch   1803, Loss  0.863132, Average Loss  0.869319, Time  0.237733
2021-09-16 17:09:44.479706 : Epoch  9, Batch   1151, Loss  0.873394, Average Loss  0.869537, Time  0.265168
2021-09-16 17:09:45.885028 : Epoch  7, Batch   1804, Loss  0.852043, Average Loss  0.869438, Time  0.239185
2021-09-16 17:09:48.481328 : Epoch  7, Batch   1805, Loss  0.894153, Average Loss  0.869571, Time  0.237939
2021-09-16 17:09:51.089052 : Epoch  7, Batch   1806, Loss  0.876234, Average Loss  0.869634, Time  0.238433
2021-09-16 17:09:53.092630 : Epoch  9, Batch   1152, Loss  0.871798, Average Loss  0.869606, Time  0.265135
2021-09-16 17:09:53.682068 : Epoch  7, Batch   1807, Loss  0.863049, Average Loss  0.869470, Time  0.238047
2021-09-16 17:09:56.284676 : Epoch  7, Batch   1808, Loss  0.879294, Average Loss  0.869460, Time  0.237543
2021-09-16 17:09:58.871171 : Epoch  7, Batch   1809, Loss  0.866020, Average Loss  0.869473, Time  0.237814
2021-09-16 17:10:01.462757 : Epoch  7, Batch   1810, Loss  0.869140, Average Loss  0.869453, Time  0.237748
2021-09-16 17:10:04.062008 : Epoch  7, Batch   1811, Loss  0.885549, Average Loss  0.869574, Time  0.237902
2021-09-16 17:10:06.657832 : Epoch  7, Batch   1812, Loss  0.886479, Average Loss  0.869736, Time  0.237965
2021-09-16 17:10:09.252914 : Epoch  7, Batch   1813, Loss  0.876459, Average Loss  0.869754, Time  0.237859
2021-09-16 17:10:11.850164 : Epoch  7, Batch   1814, Loss  0.860849, Average Loss  0.869707, Time  0.237534
2021-09-16 17:10:14.438905 : Epoch  7, Batch   1815, Loss  0.877202, Average Loss  0.869892, Time  0.237417
2021-09-16 17:10:17.032988 : Epoch  7, Batch   1816, Loss  0.862005, Average Loss  0.869786, Time  0.238384
2021-09-16 17:10:19.627926 : Epoch  7, Batch   1817, Loss  0.877860, Average Loss  0.869963, Time  0.237890
2021-09-16 17:10:22.213928 : Epoch  7, Batch   1818, Loss  0.862004, Average Loss  0.870001, Time  0.237393
2021-09-16 17:10:24.813214 : Epoch  7, Batch   1819, Loss  0.866723, Average Loss  0.869931, Time  0.237696
2021-09-16 17:10:27.410154 : Epoch  7, Batch   1820, Loss  0.889712, Average Loss  0.870121, Time  0.237481
2021-09-16 17:10:30.008013 : Epoch  7, Batch   1821, Loss  0.876383, Average Loss  0.870258, Time  0.237803
2021-09-16 17:10:32.609759 : Epoch  7, Batch   1822, Loss  0.882596, Average Loss  0.870273, Time  0.237783
2021-09-16 17:10:35.197958 : Epoch  7, Batch   1823, Loss  0.854445, Average Loss  0.870027, Time  0.237594
2021-09-16 17:10:37.792680 : Epoch  7, Batch   1824, Loss  0.862812, Average Loss  0.869927, Time  0.238059
2021-09-16 17:10:40.389972 : Epoch  7, Batch   1825, Loss  0.860249, Average Loss  0.869881, Time  0.237750
2021-09-16 17:10:42.989975 : Epoch  7, Batch   1826, Loss  0.864467, Average Loss  0.869889, Time  0.237827
2021-09-16 17:10:45.595001 : Epoch  7, Batch   1827, Loss  0.869754, Average Loss  0.869915, Time  0.238791
2021-09-16 17:10:48.192018 : Epoch  7, Batch   1828, Loss  0.848501, Average Loss  0.869845, Time  0.237614
2021-09-16 17:10:50.792171 : Epoch  7, Batch   1829, Loss  0.861361, Average Loss  0.869825, Time  0.238514
2021-09-16 17:10:53.381867 : Epoch  7, Batch   1830, Loss  0.877876, Average Loss  0.869884, Time  0.237743
2021-09-16 17:10:55.972329 : Epoch  7, Batch   1831, Loss  0.876518, Average Loss  0.869783, Time  0.237636
2021-09-16 17:10:58.564854 : Epoch  7, Batch   1832, Loss  0.877618, Average Loss  0.869816, Time  0.237800
2021-09-16 17:11:01.168111 : Epoch  7, Batch   1833, Loss  0.849352, Average Loss  0.869751, Time  0.237811
2021-09-16 17:11:03.766201 : Epoch  7, Batch   1834, Loss  0.868979, Average Loss  0.869752, Time  0.237772
2021-09-16 17:11:06.384179 : Epoch  7, Batch   1835, Loss  0.849531, Average Loss  0.869724, Time  0.237900
2021-09-16 17:11:08.978983 : Epoch  7, Batch   1836, Loss  0.844777, Average Loss  0.869518, Time  0.237776
2021-09-16 17:11:11.577693 : Epoch  7, Batch   1837, Loss  0.838007, Average Loss  0.869460, Time  0.238495
2021-09-16 17:11:14.173239 : Epoch  7, Batch   1838, Loss  0.889589, Average Loss  0.869530, Time  0.238119
2021-09-16 17:11:16.775288 : Epoch  7, Batch   1839, Loss  0.840595, Average Loss  0.869332, Time  0.237831
2021-09-16 17:11:19.363000 : Epoch  7, Batch   1840, Loss  0.850107, Average Loss  0.869265, Time  0.237648
2021-09-16 17:11:21.959697 : Epoch  7, Batch   1841, Loss  0.867591, Average Loss  0.869319, Time  0.237943
2021-09-16 17:11:24.571612 : Epoch  7, Batch   1842, Loss  0.885647, Average Loss  0.869507, Time  0.237583
2021-09-16 17:11:27.191700 : Epoch  7, Batch   1843, Loss  0.855990, Average Loss  0.869462, Time  0.237893
2021-09-16 17:11:29.778427 : Epoch  7, Batch   1844, Loss  0.892771, Average Loss  0.869629, Time  0.237944
2021-09-16 17:11:32.371952 : Epoch  7, Batch   1845, Loss  0.854735, Average Loss  0.869547, Time  0.237995
2021-09-16 17:11:34.972939 : Epoch  7, Batch   1846, Loss  0.887531, Average Loss  0.869643, Time  0.237882
2021-09-16 17:11:37.571742 : Epoch  7, Batch   1847, Loss  0.866622, Average Loss  0.869687, Time  0.237636
2021-09-16 17:11:40.164859 : Epoch  7, Batch   1848, Loss  0.867005, Average Loss  0.869705, Time  0.238297
2021-09-16 17:11:42.754042 : Epoch  7, Batch   1849, Loss  0.865096, Average Loss  0.869611, Time  0.237839
2021-09-16 17:11:45.349131 : Epoch  7, Batch   1850, Loss  0.878427, Average Loss  0.869573, Time  0.238635
2021-09-16 17:11:47.943771 : Epoch  7, Batch   1851, Loss  0.868294, Average Loss  0.869608, Time  0.237862
2021-09-16 17:11:50.542976 : Epoch  7, Batch   1852, Loss  0.861551, Average Loss  0.869595, Time  0.238099
2021-09-16 17:11:53.135722 : Epoch  7, Batch   1853, Loss  0.878352, Average Loss  0.869715, Time  0.237700
2021-09-16 17:11:55.752098 : Epoch  7, Batch   1854, Loss  0.853725, Average Loss  0.869524, Time  0.237566
2021-09-16 17:11:58.345510 : Epoch  7, Batch   1855, Loss  0.865525, Average Loss  0.869449, Time  0.237775
2021-09-16 17:12:00.941104 : Epoch  7, Batch   1856, Loss  0.870781, Average Loss  0.869435, Time  0.237919
2021-09-16 17:12:00.986566 : Saving Model after 7-th Epoch.
2021-09-16 17:12:02.078814 : Epoch Finished.
2021-09-16 17:12:10.816582 : Batch Shuffled
2021-09-16 17:12:13.415797 : Epoch  8, Batch      1, Loss  0.838936, Average Loss  0.869329, Time  0.270239
2021-09-16 17:12:15.989920 : Epoch  8, Batch      2, Loss  0.849871, Average Loss  0.869222, Time  0.248281
2021-09-16 17:12:18.554093 : Epoch  8, Batch      3, Loss  0.883343, Average Loss  0.869361, Time  0.237384
2021-09-16 17:12:21.118021 : Epoch  8, Batch      4, Loss  0.875391, Average Loss  0.869440, Time  0.237745
2021-09-16 17:12:23.686102 : Epoch  8, Batch      5, Loss  0.864347, Average Loss  0.869304, Time  0.237693
2021-09-16 17:12:26.235852 : Epoch  8, Batch      6, Loss  0.861305, Average Loss  0.869239, Time  0.237856
2021-09-16 17:12:28.802147 : Epoch  8, Batch      7, Loss  0.852085, Average Loss  0.869178, Time  0.237978
2021-09-16 17:12:39.024920 : Epoch  8, Batch      8, Loss  0.882941, Average Loss  0.869259, Time  0.238021
2021-09-16 17:14:35.016478 : CheckPoint: Validation Loss  0.00031137, Best Loss  0.00029014
2021-09-16 17:14:38.079342 : Epoch  9, Batch   1153, Loss  0.886359, Average Loss  0.869718, Time  0.275647
2021-09-16 17:14:41.123481 : Epoch  9, Batch   1154, Loss  0.849469, Average Loss  0.869745, Time  0.265294
2021-09-16 17:14:44.173501 : Epoch  9, Batch   1155, Loss  0.868759, Average Loss  0.869749, Time  0.265059
2021-09-16 17:14:47.228406 : Epoch  9, Batch   1156, Loss  0.860087, Average Loss  0.869663, Time  0.264993
2021-09-16 17:14:50.289981 : Epoch  9, Batch   1157, Loss  0.863222, Average Loss  0.869657, Time  0.265014
2021-09-16 17:14:53.338027 : Epoch  9, Batch   1158, Loss  0.855890, Average Loss  0.869642, Time  0.265389
2021-09-16 17:14:54.844759 : Epoch  9, Batch   1159, Loss  0.856467, Average Loss  0.869458, Time  0.164853
2021-09-16 17:14:57.921881 : Epoch  9, Batch   1160, Loss  0.876666, Average Loss  0.869559, Time  0.265043
2021-09-16 17:15:00.970265 : Epoch  9, Batch   1161, Loss  0.858130, Average Loss  0.869616, Time  0.264896
2021-09-16 17:15:04.018284 : Epoch  9, Batch   1162, Loss  0.867281, Average Loss  0.869642, Time  0.265400
2021-09-16 17:15:07.070166 : Epoch  9, Batch   1163, Loss  0.848332, Average Loss  0.869455, Time  0.264851
2021-09-16 17:15:10.121250 : Epoch  9, Batch   1164, Loss  0.877808, Average Loss  0.869506, Time  0.264895
2021-09-16 17:15:13.173205 : Epoch  9, Batch   1165, Loss  0.910914, Average Loss  0.869699, Time  0.264919
2021-09-16 17:15:16.228267 : Epoch  9, Batch   1166, Loss  0.859730, Average Loss  0.869570, Time  0.265725
2021-09-16 17:15:19.298784 : Epoch  9, Batch   1167, Loss  0.869727, Average Loss  0.869594, Time  0.265338
2021-09-16 17:15:22.367415 : Epoch  9, Batch   1168, Loss  0.879709, Average Loss  0.869666, Time  0.276193
2021-09-16 17:15:25.417389 : Epoch  9, Batch   1169, Loss  0.871855, Average Loss  0.869720, Time  0.265128
2021-09-16 17:15:28.463919 : Epoch  9, Batch   1170, Loss  0.878002, Average Loss  0.869790, Time  0.264498
2021-09-16 17:15:31.513865 : Epoch  9, Batch   1171, Loss  0.895729, Average Loss  0.869916, Time  0.265734
2021-09-16 17:15:34.575921 : Epoch  9, Batch   1172, Loss  0.874908, Average Loss  0.869946, Time  0.265005
2021-09-16 17:15:37.627078 : Epoch  9, Batch   1173, Loss  0.861056, Average Loss  0.869869, Time  0.264965
2021-09-16 17:15:40.673522 : Epoch  9, Batch   1174, Loss  0.862114, Average Loss  0.869819, Time  0.264795
2021-09-16 17:15:43.728672 : Epoch  9, Batch   1175, Loss  0.849189, Average Loss  0.869651, Time  0.265709
2021-09-16 17:15:46.787161 : Epoch  9, Batch   1176, Loss  0.855598, Average Loss  0.869504, Time  0.265986
2021-09-16 17:15:49.849483 : Epoch  9, Batch   1177, Loss  0.890254, Average Loss  0.869497, Time  0.265752
2021-09-16 17:15:52.911177 : Epoch  9, Batch   1178, Loss  0.855913, Average Loss  0.869368, Time  0.265611
2021-09-16 17:15:55.957903 : Epoch  9, Batch   1179, Loss  0.862133, Average Loss  0.869432, Time  0.264857
2021-09-16 17:15:59.027763 : Epoch  9, Batch   1180, Loss  0.857175, Average Loss  0.869264, Time  0.264607
2021-09-16 17:16:02.079018 : Epoch  9, Batch   1181, Loss  0.868188, Average Loss  0.869254, Time  0.264657
2021-09-16 17:16:05.136815 : Epoch  9, Batch   1182, Loss  0.863502, Average Loss  0.869159, Time  0.265764
2021-09-16 17:16:08.211255 : Epoch  9, Batch   1183, Loss  0.871102, Average Loss  0.869019, Time  0.274315
2021-09-16 17:16:11.260270 : Epoch  9, Batch   1184, Loss  0.899178, Average Loss  0.869169, Time  0.265000
2021-09-16 17:16:14.324080 : Epoch  9, Batch   1185, Loss  0.870649, Average Loss  0.869105, Time  0.264834
2021-09-16 17:16:17.383921 : Epoch  9, Batch   1186, Loss  0.857393, Average Loss  0.868975, Time  0.265269
2021-09-16 17:16:20.448759 : Epoch  9, Batch   1187, Loss  0.859504, Average Loss  0.868871, Time  0.265121
2021-09-16 17:16:23.507619 : Epoch  9, Batch   1188, Loss  0.862014, Average Loss  0.868824, Time  0.265120
2021-09-16 17:16:26.550976 : Epoch  9, Batch   1189, Loss  0.856952, Average Loss  0.868835, Time  0.265643
2021-09-16 17:16:29.615815 : Epoch  9, Batch   1190, Loss  0.858416, Average Loss  0.868704, Time  0.264730
2021-09-16 17:16:32.681262 : Epoch  9, Batch   1191, Loss  0.857107, Average Loss  0.868653, Time  0.264456
2021-09-16 17:16:35.747690 : Epoch  9, Batch   1192, Loss  0.843381, Average Loss  0.868562, Time  0.265537
2021-09-16 17:16:38.602681 : CheckPoint: Validation Loss  0.00030944, Best Loss  0.00029207
2021-09-16 17:16:38.809907 : Epoch  9, Batch   1193, Loss  0.878295, Average Loss  0.868683, Time  0.265139
2021-09-16 17:16:41.183683 : Epoch  8, Batch      9, Loss  0.877927, Average Loss  0.869293, Time  0.238598
2021-09-16 17:16:41.856951 : Epoch  9, Batch   1194, Loss  0.845752, Average Loss  0.868548, Time  0.264504
2021-09-16 17:16:43.761886 : Epoch  8, Batch     10, Loss  0.853613, Average Loss  0.869139, Time  0.237675
2021-09-16 17:16:44.924554 : Epoch  9, Batch   1195, Loss  0.855222, Average Loss  0.868472, Time  0.265781
2021-09-16 17:16:46.334971 : Epoch  8, Batch     11, Loss  0.897516, Average Loss  0.869254, Time  0.237598
2021-09-16 17:16:47.999237 : Epoch  9, Batch   1196, Loss  0.896905, Average Loss  0.868662, Time  0.264690
2021-09-16 17:16:48.923819 : Epoch  8, Batch     12, Loss  0.857179, Average Loss  0.869241, Time  0.237393
2021-09-16 17:16:51.072512 : Epoch  9, Batch   1197, Loss  0.883994, Average Loss  0.868861, Time  0.265170
2021-09-16 17:16:51.501200 : Epoch  8, Batch     13, Loss  0.885647, Average Loss  0.869233, Time  0.237889
2021-09-16 17:16:54.065885 : Epoch  8, Batch     14, Loss  0.858412, Average Loss  0.869201, Time  0.237595
2021-09-16 17:16:54.140028 : Epoch  9, Batch   1198, Loss  0.858168, Average Loss  0.868776, Time  0.274993
2021-09-16 17:16:56.647918 : Epoch  8, Batch     15, Loss  0.872039, Average Loss  0.869267, Time  0.237875
2021-09-16 17:16:57.191630 : Epoch  9, Batch   1199, Loss  0.876798, Average Loss  0.868840, Time  0.265149
2021-09-16 17:16:59.228935 : Epoch  8, Batch     16, Loss  0.879223, Average Loss  0.869330, Time  0.237741
2021-09-16 17:17:00.247769 : Epoch  9, Batch   1200, Loss  0.867688, Average Loss  0.868698, Time  0.264615
2021-09-16 17:17:01.808158 : Epoch  8, Batch     17, Loss  0.866509, Average Loss  0.869339, Time  0.237571
2021-09-16 17:17:03.326850 : Epoch  9, Batch   1201, Loss  0.868247, Average Loss  0.868635, Time  0.268956
2021-09-16 17:17:04.372939 : Epoch  8, Batch     18, Loss  0.856231, Average Loss  0.869320, Time  0.237810
2021-09-16 17:17:06.390560 : Epoch  9, Batch   1202, Loss  0.868995, Average Loss  0.868573, Time  0.264410
2021-09-16 17:17:06.985183 : Epoch  8, Batch     19, Loss  0.871358, Average Loss  0.869229, Time  0.237677
2021-09-16 17:17:09.457757 : Epoch  9, Batch   1203, Loss  0.863336, Average Loss  0.868484, Time  0.264900
2021-09-16 17:17:09.563061 : Epoch  8, Batch     20, Loss  0.876508, Average Loss  0.869192, Time  0.237844
2021-09-16 17:17:12.142318 : Epoch  8, Batch     21, Loss  0.865013, Average Loss  0.869160, Time  0.237800
2021-09-16 17:17:12.520621 : Epoch  9, Batch   1204, Loss  0.862563, Average Loss  0.868447, Time  0.276355
2021-09-16 17:17:14.723664 : Epoch  8, Batch     22, Loss  0.871581, Average Loss  0.869345, Time  0.237934
2021-09-16 17:17:15.571691 : Epoch  9, Batch   1205, Loss  0.883416, Average Loss  0.868466, Time  0.265303
2021-09-16 17:17:17.308708 : Epoch  8, Batch     23, Loss  0.846304, Average Loss  0.869165, Time  0.237499
2021-09-16 17:17:18.622215 : Epoch  9, Batch   1206, Loss  0.868662, Average Loss  0.868483, Time  0.265368
2021-09-16 17:17:19.905667 : Epoch  8, Batch     24, Loss  0.859502, Average Loss  0.869184, Time  0.237912
2021-09-16 17:17:21.671110 : Epoch  9, Batch   1207, Loss  0.879472, Average Loss  0.868623, Time  0.266498
2021-09-16 17:17:22.491126 : Epoch  8, Batch     25, Loss  0.858113, Average Loss  0.869119, Time  0.238558
2021-09-16 17:17:24.733342 : Epoch  9, Batch   1208, Loss  0.857485, Average Loss  0.868488, Time  0.265029
2021-09-16 17:17:25.082962 : Epoch  8, Batch     26, Loss  0.880641, Average Loss  0.869205, Time  0.238318
2021-09-16 17:17:27.644129 : Epoch  8, Batch     27, Loss  0.878537, Average Loss  0.869260, Time  0.238280
2021-09-16 17:17:27.779294 : Epoch  9, Batch   1209, Loss  0.842548, Average Loss  0.868362, Time  0.264885
2021-09-16 17:17:30.230968 : Epoch  8, Batch     28, Loss  0.845374, Average Loss  0.869186, Time  0.237630
2021-09-16 17:17:30.849291 : Epoch  9, Batch   1210, Loss  0.888188, Average Loss  0.868604, Time  0.265645
2021-09-16 17:17:32.804999 : Epoch  8, Batch     29, Loss  0.879499, Average Loss  0.869146, Time  0.237598
2021-09-16 17:17:33.898313 : Epoch  9, Batch   1211, Loss  0.856781, Average Loss  0.868634, Time  0.264928
2021-09-16 17:17:35.377975 : Epoch  8, Batch     30, Loss  0.855070, Average Loss  0.869099, Time  0.239064
2021-09-16 17:17:36.955016 : Epoch  9, Batch   1212, Loss  0.852918, Average Loss  0.868571, Time  0.265845
2021-09-16 17:17:37.962951 : Epoch  8, Batch     31, Loss  0.871859, Average Loss  0.869170, Time  0.237667
2021-09-16 17:17:40.031282 : Epoch  9, Batch   1213, Loss  0.875489, Average Loss  0.868545, Time  0.279120
2021-09-16 17:17:40.543673 : Epoch  8, Batch     32, Loss  0.861274, Average Loss  0.869135, Time  0.237967
2021-09-16 17:17:43.087805 : Epoch  9, Batch   1214, Loss  0.867908, Average Loss  0.868492, Time  0.265541
2021-09-16 17:17:43.115894 : Epoch  8, Batch     33, Loss  0.860946, Average Loss  0.869167, Time  0.237388
2021-09-16 17:17:45.674768 : Epoch  8, Batch     34, Loss  0.867417, Average Loss  0.869238, Time  0.237677
2021-09-16 17:17:46.138969 : Epoch  9, Batch   1215, Loss  0.859526, Average Loss  0.868498, Time  0.265151
2021-09-16 17:17:48.262050 : Epoch  8, Batch     35, Loss  0.855099, Average Loss  0.869128, Time  0.237764
2021-09-16 17:17:49.197912 : Epoch  9, Batch   1216, Loss  0.860836, Average Loss  0.868500, Time  0.264970
2021-09-16 17:17:50.849946 : Epoch  8, Batch     36, Loss  0.877496, Average Loss  0.869128, Time  0.237656
2021-09-16 17:17:52.277881 : Epoch  9, Batch   1217, Loss  0.858297, Average Loss  0.868369, Time  0.265172
2021-09-16 17:17:53.433765 : Epoch  8, Batch     37, Loss  0.844090, Average Loss  0.869033, Time  0.238127
2021-09-16 17:17:55.327038 : Epoch  9, Batch   1218, Loss  0.880593, Average Loss  0.868384, Time  0.264774
2021-09-16 17:17:56.016098 : Epoch  8, Batch     38, Loss  0.855567, Average Loss  0.868913, Time  0.238585
2021-09-16 17:17:58.386301 : Epoch  9, Batch   1219, Loss  0.876899, Average Loss  0.868300, Time  0.264711
2021-09-16 17:17:58.595191 : Epoch  8, Batch     39, Loss  0.868512, Average Loss  0.868840, Time  0.237502
2021-09-16 17:18:01.175681 : Epoch  8, Batch     40, Loss  0.869448, Average Loss  0.868817, Time  0.237885
2021-09-16 17:18:01.470205 : Epoch  9, Batch   1220, Loss  0.856217, Average Loss  0.868176, Time  0.266342
2021-09-16 17:18:03.761105 : Epoch  8, Batch     41, Loss  0.889456, Average Loss  0.868884, Time  0.237717
2021-09-16 17:18:04.518378 : Epoch  9, Batch   1221, Loss  0.853453, Average Loss  0.868191, Time  0.264823
2021-09-16 17:18:06.334807 : Epoch  8, Batch     42, Loss  0.874292, Average Loss  0.868902, Time  0.238203
2021-09-16 17:18:07.574882 : Epoch  9, Batch   1222, Loss  0.864684, Average Loss  0.868091, Time  0.264924
2021-09-16 17:18:08.905642 : Epoch  8, Batch     43, Loss  0.882055, Average Loss  0.868976, Time  0.238046
2021-09-16 17:18:10.628096 : Epoch  9, Batch   1223, Loss  0.851229, Average Loss  0.867970, Time  0.265060
2021-09-16 17:18:11.487080 : Epoch  8, Batch     44, Loss  0.878312, Average Loss  0.869037, Time  0.237950
2021-09-16 17:18:13.690045 : Epoch  9, Batch   1224, Loss  0.876329, Average Loss  0.868064, Time  0.265419
2021-09-16 17:18:14.054979 : Epoch  8, Batch     45, Loss  0.871818, Average Loss  0.869109, Time  0.238172
2021-09-16 17:18:16.622970 : Epoch  8, Batch     46, Loss  0.841008, Average Loss  0.868925, Time  0.237704
2021-09-16 17:18:16.737008 : Epoch  9, Batch   1225, Loss  0.852231, Average Loss  0.867962, Time  0.264782
2021-09-16 17:18:19.203997 : Epoch  8, Batch     47, Loss  0.869093, Average Loss  0.868866, Time  0.237869
2021-09-16 17:18:19.788000 : Epoch  9, Batch   1226, Loss  0.897263, Average Loss  0.868154, Time  0.265560
2021-09-16 17:18:21.783695 : Epoch  8, Batch     48, Loss  0.858865, Average Loss  0.868783, Time  0.238953
2021-09-16 17:18:22.834728 : Epoch  9, Batch   1227, Loss  0.853805, Average Loss  0.868006, Time  0.264643
2021-09-16 17:18:24.401728 : Epoch  8, Batch     49, Loss  0.878486, Average Loss  0.868798, Time  0.238387
2021-09-16 17:18:25.899932 : Epoch  9, Batch   1228, Loss  0.857999, Average Loss  0.867889, Time  0.275038
2021-09-16 17:18:26.983025 : Epoch  8, Batch     50, Loss  0.869185, Average Loss  0.868716, Time  0.238965
2021-09-16 17:18:28.959959 : Epoch  9, Batch   1229, Loss  0.869244, Average Loss  0.867996, Time  0.264707
2021-09-16 17:18:29.567243 : Epoch  8, Batch     51, Loss  0.869716, Average Loss  0.868667, Time  0.238249
2021-09-16 17:18:32.027187 : Epoch  9, Batch   1230, Loss  0.868606, Average Loss  0.867950, Time  0.264508
2021-09-16 17:18:32.154915 : Epoch  8, Batch     52, Loss  0.878212, Average Loss  0.868662, Time  0.238425
2021-09-16 17:18:34.722895 : Epoch  8, Batch     53, Loss  0.861533, Average Loss  0.868556, Time  0.238076
2021-09-16 17:18:35.079463 : Epoch  9, Batch   1231, Loss  0.878477, Average Loss  0.867999, Time  0.265411
2021-09-16 17:18:37.301968 : Epoch  8, Batch     54, Loss  0.870384, Average Loss  0.868523, Time  0.237864
2021-09-16 17:18:38.114709 : Epoch  9, Batch   1232, Loss  0.863328, Average Loss  0.868032, Time  0.265083
2021-09-16 17:18:39.876335 : Epoch  8, Batch     55, Loss  0.859124, Average Loss  0.868458, Time  0.237808
2021-09-16 17:18:41.165711 : Epoch  9, Batch   1233, Loss  0.866800, Average Loss  0.868121, Time  0.264882
2021-09-16 17:18:42.450696 : Epoch  8, Batch     56, Loss  0.889997, Average Loss  0.868479, Time  0.237835
2021-09-16 17:18:44.204402 : Epoch  9, Batch   1234, Loss  0.854706, Average Loss  0.868114, Time  0.264948
2021-09-16 17:18:45.022721 : Epoch  8, Batch     57, Loss  0.859638, Average Loss  0.868439, Time  0.237861
2021-09-16 17:18:47.253366 : Epoch  9, Batch   1235, Loss  0.857083, Average Loss  0.868014, Time  0.264836
2021-09-16 17:18:47.611168 : Epoch  8, Batch     58, Loss  0.870234, Average Loss  0.868539, Time  0.237999
2021-09-16 17:18:50.187134 : Epoch  8, Batch     59, Loss  0.884663, Average Loss  0.868613, Time  0.237697
2021-09-16 17:18:50.302398 : Epoch  9, Batch   1236, Loss  0.861755, Average Loss  0.867941, Time  0.264630
2021-09-16 17:18:52.760933 : Epoch  8, Batch     60, Loss  0.862791, Average Loss  0.868565, Time  0.237777
2021-09-16 17:18:53.334568 : Epoch  9, Batch   1237, Loss  0.887587, Average Loss  0.867978, Time  0.264960
2021-09-16 17:18:55.317972 : Epoch  8, Batch     61, Loss  0.866451, Average Loss  0.868397, Time  0.237481
2021-09-16 17:18:56.381133 : Epoch  9, Batch   1238, Loss  0.880373, Average Loss  0.867970, Time  0.266349
2021-09-16 17:18:57.891832 : Epoch  8, Batch     62, Loss  0.867248, Average Loss  0.868364, Time  0.238187
2021-09-16 17:18:59.441511 : Epoch  9, Batch   1239, Loss  0.850712, Average Loss  0.867871, Time  0.264578
2021-09-16 17:19:00.463141 : Epoch  8, Batch     63, Loss  0.857610, Average Loss  0.868397, Time  0.237742
2021-09-16 17:19:02.487766 : Epoch  9, Batch   1240, Loss  0.849010, Average Loss  0.867757, Time  0.265110
2021-09-16 17:19:03.045183 : Epoch  8, Batch     64, Loss  0.883428, Average Loss  0.868364, Time  0.238050
2021-09-16 17:19:05.549380 : Epoch  9, Batch   1241, Loss  0.886162, Average Loss  0.867941, Time  0.264400
2021-09-16 17:19:05.633462 : Epoch  8, Batch     65, Loss  0.858637, Average Loss  0.868376, Time  0.238035
2021-09-16 17:19:08.211315 : Epoch  8, Batch     66, Loss  0.877101, Average Loss  0.868406, Time  0.238045
2021-09-16 17:19:08.612498 : Epoch  9, Batch   1242, Loss  0.871263, Average Loss  0.867948, Time  0.264344
2021-09-16 17:19:10.784132 : Epoch  8, Batch     67, Loss  0.864107, Average Loss  0.868264, Time  0.237441
2021-09-16 17:19:11.650374 : Epoch  9, Batch   1243, Loss  0.904225, Average Loss  0.868248, Time  0.276612
2021-09-16 17:19:13.362285 : Epoch  8, Batch     68, Loss  0.869460, Average Loss  0.868209, Time  0.237869
2021-09-16 17:19:14.707829 : Epoch  9, Batch   1244, Loss  0.865276, Average Loss  0.868169, Time  0.265481
2021-09-16 17:19:15.944602 : Epoch  8, Batch     69, Loss  0.861725, Average Loss  0.868126, Time  0.237843
2021-09-16 17:19:17.746848 : Epoch  9, Batch   1245, Loss  0.873627, Average Loss  0.868213, Time  0.264889
2021-09-16 17:19:18.517890 : Epoch  8, Batch     70, Loss  0.845108, Average Loss  0.868076, Time  0.237459
2021-09-16 17:19:20.795285 : Epoch  9, Batch   1246, Loss  0.860187, Average Loss  0.868143, Time  0.265038
2021-09-16 17:19:21.100940 : Epoch  8, Batch     71, Loss  0.855073, Average Loss  0.867886, Time  0.237864
2021-09-16 17:19:23.660879 : Epoch  8, Batch     72, Loss  0.873908, Average Loss  0.867909, Time  0.238327
2021-09-16 17:19:23.846743 : Epoch  9, Batch   1247, Loss  0.879548, Average Loss  0.868192, Time  0.264898
2021-09-16 17:19:26.233962 : Epoch  8, Batch     73, Loss  0.867871, Average Loss  0.867940, Time  0.237839
2021-09-16 17:19:26.882981 : Epoch  9, Batch   1248, Loss  0.894061, Average Loss  0.868364, Time  0.264508
2021-09-16 17:19:28.810367 : Epoch  8, Batch     74, Loss  0.892831, Average Loss  0.868102, Time  0.238563
2021-09-16 17:19:29.948954 : Epoch  9, Batch   1249, Loss  0.877737, Average Loss  0.868517, Time  0.264703
2021-09-16 17:19:31.499692 : Epoch  8, Batch     75, Loss  0.882474, Average Loss  0.868279, Time  0.237745
2021-09-16 17:19:33.000617 : Epoch  9, Batch   1250, Loss  0.854429, Average Loss  0.868503, Time  0.264716
2021-09-16 17:19:34.076043 : Epoch  8, Batch     76, Loss  0.855037, Average Loss  0.868260, Time  0.238255
2021-09-16 17:19:36.053601 : Epoch  9, Batch   1251, Loss  0.866324, Average Loss  0.868469, Time  0.265439
2021-09-16 17:19:36.645979 : Epoch  8, Batch     77, Loss  0.874970, Average Loss  0.868353, Time  0.237592
2021-09-16 17:19:39.100910 : Epoch  9, Batch   1252, Loss  0.865115, Average Loss  0.868393, Time  0.264959
2021-09-16 17:19:39.228971 : Epoch  8, Batch     78, Loss  0.862630, Average Loss  0.868220, Time  0.237637
2021-09-16 17:19:41.783815 : Epoch  8, Batch     79, Loss  0.863297, Average Loss  0.868148, Time  0.237725
2021-09-16 17:19:44.365767 : Epoch  8, Batch     80, Loss  0.874412, Average Loss  0.868136, Time  0.237809
2021-09-16 17:19:46.943077 : Epoch  8, Batch     81, Loss  0.854267, Average Loss  0.868166, Time  0.237633
2021-09-16 17:19:49.524743 : Epoch  8, Batch     82, Loss  0.877922, Average Loss  0.868100, Time  0.237405
2021-09-16 17:19:52.103295 : Epoch  8, Batch     83, Loss  0.872371, Average Loss  0.868211, Time  0.237490
2021-09-16 17:19:54.664984 : Epoch  8, Batch     84, Loss  0.870767, Average Loss  0.868332, Time  0.237787
2021-09-16 17:19:57.239934 : Epoch  8, Batch     85, Loss  0.845241, Average Loss  0.868241, Time  0.237765
2021-09-16 17:19:59.801693 : Epoch  8, Batch     86, Loss  0.885691, Average Loss  0.868338, Time  0.238170
2021-09-16 17:20:02.405915 : Epoch  8, Batch     87, Loss  0.869412, Average Loss  0.868300, Time  0.237731
2021-09-16 17:20:04.993937 : Epoch  8, Batch     88, Loss  0.878279, Average Loss  0.868364, Time  0.237994
2021-09-16 17:20:06.252083 : Epoch  8, Batch     89, Loss  0.874721, Average Loss  0.868409, Time  0.140083
2021-09-16 17:20:08.836893 : Epoch  8, Batch     90, Loss  0.862938, Average Loss  0.868312, Time  0.237973
2021-09-16 17:20:11.419078 : Epoch  8, Batch     91, Loss  0.863223, Average Loss  0.868299, Time  0.237645
2021-09-16 17:20:13.980001 : Epoch  8, Batch     92, Loss  0.881492, Average Loss  0.868359, Time  0.237465
2021-09-16 17:20:16.551800 : Epoch  8, Batch     93, Loss  0.873131, Average Loss  0.868431, Time  0.237767
2021-09-16 17:20:19.126017 : Epoch  8, Batch     94, Loss  0.870567, Average Loss  0.868412, Time  0.237857
2021-09-16 17:20:21.701882 : Epoch  8, Batch     95, Loss  0.864682, Average Loss  0.868396, Time  0.238147
2021-09-16 17:20:24.277684 : Epoch  8, Batch     96, Loss  0.882627, Average Loss  0.868564, Time  0.238570
2021-09-16 17:20:26.853874 : Epoch  8, Batch     97, Loss  0.869260, Average Loss  0.868570, Time  0.237684
2021-09-16 17:20:29.433006 : Epoch  8, Batch     98, Loss  0.857719, Average Loss  0.868592, Time  0.238413
2021-09-16 17:20:32.020771 : Epoch  8, Batch     99, Loss  0.878746, Average Loss  0.868658, Time  0.237962
2021-09-16 17:20:34.591078 : Epoch  8, Batch    100, Loss  0.879671, Average Loss  0.868604, Time  0.237891
2021-09-16 17:20:37.177927 : Epoch  8, Batch    101, Loss  0.894042, Average Loss  0.868850, Time  0.237626
2021-09-16 17:20:39.759958 : Epoch  8, Batch    102, Loss  0.879416, Average Loss  0.868810, Time  0.237823
2021-09-16 17:20:42.338822 : Epoch  8, Batch    103, Loss  0.862228, Average Loss  0.868818, Time  0.237415
2021-09-16 17:20:44.937690 : Epoch  8, Batch    104, Loss  0.881101, Average Loss  0.868783, Time  0.237695
2021-09-16 17:20:47.511931 : Epoch  8, Batch    105, Loss  0.867634, Average Loss  0.868777, Time  0.237754
2021-09-16 17:20:50.091916 : Epoch  8, Batch    106, Loss  0.857622, Average Loss  0.868698, Time  0.238266
2021-09-16 17:20:52.668054 : Epoch  8, Batch    107, Loss  0.881498, Average Loss  0.868793, Time  0.237723
2021-09-16 17:20:55.232865 : Epoch  8, Batch    108, Loss  0.866977, Average Loss  0.868688, Time  0.237707
2021-09-16 17:24:21.219139 : CheckPoint: Validation Loss  0.00030353, Best Loss  0.00029014
2021-09-16 17:24:24.301114 : Epoch  9, Batch   1253, Loss  0.840831, Average Loss  0.868342, Time  0.265308
2021-09-16 17:24:27.375078 : Epoch  9, Batch   1254, Loss  0.868744, Average Loss  0.868301, Time  0.265725
2021-09-16 17:24:30.474308 : Epoch  9, Batch   1255, Loss  0.867772, Average Loss  0.868204, Time  0.280852
2021-09-16 17:24:33.547086 : Epoch  9, Batch   1256, Loss  0.865937, Average Loss  0.868230, Time  0.265805
2021-09-16 17:24:36.612404 : Epoch  9, Batch   1257, Loss  0.845148, Average Loss  0.868228, Time  0.265093
2021-09-16 17:24:39.665177 : Epoch  9, Batch   1258, Loss  0.859739, Average Loss  0.868030, Time  0.265161
2021-09-16 17:24:42.741986 : Epoch  9, Batch   1259, Loss  0.899401, Average Loss  0.868134, Time  0.264876
2021-09-16 17:24:45.800910 : Epoch  9, Batch   1260, Loss  0.865252, Average Loss  0.868111, Time  0.264900
2021-09-16 17:24:48.878038 : Epoch  9, Batch   1261, Loss  0.892529, Average Loss  0.868121, Time  0.265346
2021-09-16 17:24:51.944236 : Epoch  9, Batch   1262, Loss  0.888640, Average Loss  0.868233, Time  0.265325
2021-09-16 17:24:53.891679 : CheckPoint: Validation Loss  0.00031155, Best Loss  0.00029207
2021-09-16 17:24:55.031310 : Epoch  9, Batch   1263, Loss  0.884379, Average Loss  0.868236, Time  0.265275
2021-09-16 17:24:56.459739 : Epoch  8, Batch    109, Loss  0.894665, Average Loss  0.868827, Time  0.238411
2021-09-16 17:24:58.089011 : Epoch  9, Batch   1264, Loss  0.848335, Average Loss  0.868088, Time  0.266978
2021-09-16 17:24:59.018872 : Epoch  8, Batch    110, Loss  0.848250, Average Loss  0.868691, Time  0.237954
2021-09-16 17:25:01.157963 : Epoch  9, Batch   1265, Loss  0.885062, Average Loss  0.868058, Time  0.264363
2021-09-16 17:25:01.602153 : Epoch  8, Batch    111, Loss  0.864140, Average Loss  0.868609, Time  0.238567
2021-09-16 17:25:04.180689 : Epoch  8, Batch    112, Loss  0.844337, Average Loss  0.868482, Time  0.238107
2021-09-16 17:25:04.227151 : Epoch  9, Batch   1266, Loss  0.853732, Average Loss  0.867899, Time  0.265719
2021-09-16 17:25:06.760995 : Epoch  8, Batch    113, Loss  0.884072, Average Loss  0.868528, Time  0.238313
2021-09-16 17:25:07.290688 : Epoch  9, Batch   1267, Loss  0.849668, Average Loss  0.867792, Time  0.265341
2021-09-16 17:25:09.325009 : Epoch  8, Batch    114, Loss  0.865348, Average Loss  0.868407, Time  0.237462
2021-09-16 17:25:10.341805 : Epoch  9, Batch   1268, Loss  0.847291, Average Loss  0.867742, Time  0.264916
2021-09-16 17:25:11.902368 : Epoch  8, Batch    115, Loss  0.849243, Average Loss  0.868237, Time  0.237876
2021-09-16 17:25:13.393190 : Epoch  9, Batch   1269, Loss  0.876548, Average Loss  0.867888, Time  0.265363
2021-09-16 17:25:14.472159 : Epoch  8, Batch    116, Loss  0.864145, Average Loss  0.868150, Time  0.237462
2021-09-16 17:25:16.474616 : Epoch  9, Batch   1270, Loss  0.861401, Average Loss  0.867907, Time  0.276558
2021-09-16 17:25:17.031926 : Epoch  8, Batch    117, Loss  0.870636, Average Loss  0.868232, Time  0.237391
2021-09-16 17:25:19.526633 : Epoch  9, Batch   1271, Loss  0.884740, Average Loss  0.867970, Time  0.265304
2021-09-16 17:25:19.610217 : Epoch  8, Batch    118, Loss  0.863144, Average Loss  0.868249, Time  0.237930
2021-09-16 17:25:22.161011 : Epoch  8, Batch    119, Loss  0.878687, Average Loss  0.868400, Time  0.238461
2021-09-16 17:25:22.603999 : Epoch  9, Batch   1272, Loss  0.879904, Average Loss  0.867935, Time  0.265032
2021-09-16 17:25:24.717942 : Epoch  8, Batch    120, Loss  0.868022, Average Loss  0.868416, Time  0.238135
2021-09-16 17:25:25.649005 : Epoch  9, Batch   1273, Loss  0.878349, Average Loss  0.867989, Time  0.264877
2021-09-16 17:25:27.286709 : Epoch  8, Batch    121, Loss  0.856918, Average Loss  0.868313, Time  0.237374
2021-09-16 17:25:28.716763 : Epoch  9, Batch   1274, Loss  0.878590, Average Loss  0.867979, Time  0.265497
2021-09-16 17:25:29.997728 : Epoch  8, Batch    122, Loss  0.880993, Average Loss  0.868399, Time  0.237474
2021-09-16 17:25:31.767510 : Epoch  9, Batch   1275, Loss  0.881366, Average Loss  0.868047, Time  0.265258
2021-09-16 17:25:32.552258 : Epoch  8, Batch    123, Loss  0.865119, Average Loss  0.868356, Time  0.238722
2021-09-16 17:25:34.852734 : Epoch  9, Batch   1276, Loss  0.839925, Average Loss  0.867938, Time  0.267721
2021-09-16 17:25:35.116745 : Epoch  8, Batch    124, Loss  0.855897, Average Loss  0.868314, Time  0.237529
2021-09-16 17:25:37.667411 : Epoch  8, Batch    125, Loss  0.842330, Average Loss  0.868200, Time  0.237995
2021-09-16 17:25:37.913944 : Epoch  9, Batch   1277, Loss  0.882734, Average Loss  0.867982, Time  0.265439
2021-09-16 17:25:40.232789 : Epoch  8, Batch    126, Loss  0.857219, Average Loss  0.868133, Time  0.237756
2021-09-16 17:25:40.954517 : Epoch  9, Batch   1278, Loss  0.862590, Average Loss  0.867972, Time  0.264684
2021-09-16 17:25:42.788833 : Epoch  8, Batch    127, Loss  0.853002, Average Loss  0.868122, Time  0.237805
2021-09-16 17:25:44.017101 : Epoch  9, Batch   1279, Loss  0.883723, Average Loss  0.867969, Time  0.264738
2021-09-16 17:25:45.351734 : Epoch  8, Batch    128, Loss  0.875711, Average Loss  0.868106, Time  0.237751
2021-09-16 17:25:47.076391 : Epoch  9, Batch   1280, Loss  0.854448, Average Loss  0.867888, Time  0.265174
2021-09-16 17:25:47.911009 : Epoch  8, Batch    129, Loss  0.862346, Average Loss  0.868152, Time  0.237630
2021-09-16 17:25:50.143933 : Epoch  9, Batch   1281, Loss  0.855951, Average Loss  0.867754, Time  0.265783
2021-09-16 17:25:50.467009 : Epoch  8, Batch    130, Loss  0.870496, Average Loss  0.868190, Time  0.238055
2021-09-16 17:25:53.012986 : Epoch  8, Batch    131, Loss  0.861298, Average Loss  0.868140, Time  0.237581
2021-09-16 17:25:53.225253 : Epoch  9, Batch   1282, Loss  0.878237, Average Loss  0.867857, Time  0.264960
2021-09-16 17:25:55.585122 : Epoch  8, Batch    132, Loss  0.856752, Average Loss  0.867960, Time  0.238653
2021-09-16 17:25:56.267740 : Epoch  9, Batch   1283, Loss  0.879390, Average Loss  0.867914, Time  0.264566
2021-09-16 17:25:58.150687 : Epoch  8, Batch    133, Loss  0.867876, Average Loss  0.867894, Time  0.237701
2021-09-16 17:25:59.344910 : Epoch  9, Batch   1284, Loss  0.871389, Average Loss  0.867904, Time  0.265536
2021-09-16 17:26:00.718995 : Epoch  8, Batch    134, Loss  0.863552, Average Loss  0.867857, Time  0.237602
2021-09-16 17:26:02.429228 : Epoch  9, Batch   1285, Loss  0.863976, Average Loss  0.867894, Time  0.276417
2021-09-16 17:26:03.270048 : Epoch  8, Batch    135, Loss  0.869035, Average Loss  0.867858, Time  0.238757
2021-09-16 17:26:05.511934 : Epoch  9, Batch   1286, Loss  0.866224, Average Loss  0.867820, Time  0.266229
2021-09-16 17:26:05.830680 : Epoch  8, Batch    136, Loss  0.864944, Average Loss  0.867859, Time  0.238175
2021-09-16 17:26:08.396905 : Epoch  8, Batch    137, Loss  0.880955, Average Loss  0.867795, Time  0.238521
2021-09-16 17:26:08.569187 : Epoch  9, Batch   1287, Loss  0.870955, Average Loss  0.867979, Time  0.265023
2021-09-16 17:26:10.956925 : Epoch  8, Batch    138, Loss  0.863132, Average Loss  0.867784, Time  0.238170
2021-09-16 17:26:11.629024 : Epoch  9, Batch   1288, Loss  0.866312, Average Loss  0.867938, Time  0.266221
2021-09-16 17:26:13.525698 : Epoch  8, Batch    139, Loss  0.873869, Average Loss  0.867708, Time  0.237586
2021-09-16 17:26:14.724758 : Epoch  9, Batch   1289, Loss  0.876353, Average Loss  0.867914, Time  0.264700
2021-09-16 17:26:16.155945 : Epoch  8, Batch    140, Loss  0.862150, Average Loss  0.867734, Time  0.237739
2021-09-16 17:26:17.803999 : Epoch  9, Batch   1290, Loss  0.864319, Average Loss  0.867976, Time  0.264834
2021-09-16 17:26:18.722949 : Epoch  8, Batch    141, Loss  0.839997, Average Loss  0.867642, Time  0.238638
2021-09-16 17:26:20.861963 : Epoch  9, Batch   1291, Loss  0.846200, Average Loss  0.867860, Time  0.266195
2021-09-16 17:26:21.281051 : Epoch  8, Batch    142, Loss  0.865564, Average Loss  0.867594, Time  0.237864
2021-09-16 17:26:23.863221 : Epoch  8, Batch    143, Loss  0.892745, Average Loss  0.867822, Time  0.237598
2021-09-16 17:26:23.932359 : Epoch  9, Batch   1292, Loss  0.859596, Average Loss  0.867765, Time  0.265173
2021-09-16 17:26:26.420938 : Epoch  8, Batch    144, Loss  0.861524, Average Loss  0.867708, Time  0.237921
2021-09-16 17:26:26.981780 : Epoch  9, Batch   1293, Loss  0.880404, Average Loss  0.867799, Time  0.265136
2021-09-16 17:26:28.986136 : Epoch  8, Batch    145, Loss  0.891325, Average Loss  0.867933, Time  0.237372
2021-09-16 17:26:30.063111 : Epoch  9, Batch   1294, Loss  0.868372, Average Loss  0.867813, Time  0.264796
2021-09-16 17:26:31.554901 : Epoch  8, Batch    146, Loss  0.866043, Average Loss  0.867869, Time  0.238073
2021-09-16 17:26:33.122187 : Epoch  9, Batch   1295, Loss  0.881505, Average Loss  0.867990, Time  0.264550
2021-09-16 17:26:34.111472 : Epoch  8, Batch    147, Loss  0.876625, Average Loss  0.867936, Time  0.237994
2021-09-16 17:26:36.196560 : Epoch  9, Batch   1296, Loss  0.854660, Average Loss  0.867835, Time  0.264784
2021-09-16 17:26:36.668276 : Epoch  8, Batch    148, Loss  0.871388, Average Loss  0.868033, Time  0.237612
2021-09-16 17:26:39.213692 : Epoch  8, Batch    149, Loss  0.861988, Average Loss  0.867872, Time  0.238054
2021-09-16 17:26:39.246568 : Epoch  9, Batch   1297, Loss  0.888223, Average Loss  0.867892, Time  0.264886
2021-09-16 17:26:41.775178 : Epoch  8, Batch    150, Loss  0.845712, Average Loss  0.867720, Time  0.237870
2021-09-16 17:26:42.305375 : Epoch  9, Batch   1298, Loss  0.872540, Average Loss  0.867959, Time  0.265477
2021-09-16 17:26:44.341669 : Epoch  8, Batch    151, Loss  0.855831, Average Loss  0.867683, Time  0.237670
2021-09-16 17:26:45.402267 : Epoch  9, Batch   1299, Loss  0.857512, Average Loss  0.867738, Time  0.264677
2021-09-16 17:26:46.900236 : Epoch  8, Batch    152, Loss  0.883020, Average Loss  0.867702, Time  0.237789
2021-09-16 17:26:48.474117 : Epoch  9, Batch   1300, Loss  0.853526, Average Loss  0.867652, Time  0.272902
2021-09-16 17:26:49.460940 : Epoch  8, Batch    153, Loss  0.853874, Average Loss  0.867641, Time  0.237538
2021-09-16 17:26:51.547529 : Epoch  9, Batch   1301, Loss  0.854966, Average Loss  0.867652, Time  0.265824
2021-09-16 17:26:52.027049 : Epoch  8, Batch    154, Loss  0.874560, Average Loss  0.867668, Time  0.237528
2021-09-16 17:26:54.568919 : Epoch  8, Batch    155, Loss  0.870513, Average Loss  0.867593, Time  0.237844
2021-09-16 17:26:54.618520 : Epoch  9, Batch   1302, Loss  0.864690, Average Loss  0.867749, Time  0.264710
2021-09-16 17:26:57.132010 : Epoch  8, Batch    156, Loss  0.867799, Average Loss  0.867500, Time  0.237848
2021-09-16 17:26:57.665560 : Epoch  9, Batch   1303, Loss  0.872654, Average Loss  0.867672, Time  0.264787
2021-09-16 17:26:59.684981 : Epoch  8, Batch    157, Loss  0.900485, Average Loss  0.867620, Time  0.237388
2021-09-16 17:27:00.728772 : Epoch  9, Batch   1304, Loss  0.871660, Average Loss  0.867677, Time  0.265894
2021-09-16 17:27:02.257945 : Epoch  8, Batch    158, Loss  0.843711, Average Loss  0.867534, Time  0.238834
2021-09-16 17:27:03.802155 : Epoch  9, Batch   1305, Loss  0.852776, Average Loss  0.867689, Time  0.265601
2021-09-16 17:27:04.825698 : Epoch  8, Batch    159, Loss  0.868295, Average Loss  0.867490, Time  0.237466
2021-09-16 17:27:06.878736 : Epoch  9, Batch   1306, Loss  0.881948, Average Loss  0.867805, Time  0.264618
2021-09-16 17:27:07.393761 : Epoch  8, Batch    160, Loss  0.877919, Average Loss  0.867569, Time  0.238761
2021-09-16 17:27:09.946306 : Epoch  9, Batch   1307, Loss  0.860284, Average Loss  0.867827, Time  0.265454
2021-09-16 17:27:09.957331 : Epoch  8, Batch    161, Loss  0.856628, Average Loss  0.867463, Time  0.237773
2021-09-16 17:27:12.528932 : Epoch  8, Batch    162, Loss  0.859184, Average Loss  0.867449, Time  0.237628
2021-09-16 17:27:13.023656 : Epoch  9, Batch   1308, Loss  0.876840, Average Loss  0.867845, Time  0.264584
2021-09-16 17:27:15.101927 : Epoch  8, Batch    163, Loss  0.869453, Average Loss  0.867463, Time  0.237861
2021-09-16 17:27:16.067906 : Epoch  9, Batch   1309, Loss  0.880767, Average Loss  0.867848, Time  0.264851
2021-09-16 17:27:17.672017 : Epoch  8, Batch    164, Loss  0.904816, Average Loss  0.867538, Time  0.237571
2021-09-16 17:27:19.125137 : Epoch  9, Batch   1310, Loss  0.863795, Average Loss  0.867884, Time  0.265167
2021-09-16 17:27:20.237713 : Epoch  8, Batch    165, Loss  0.882858, Average Loss  0.867571, Time  0.237770
2021-09-16 17:27:22.189444 : Epoch  9, Batch   1311, Loss  0.861281, Average Loss  0.867746, Time  0.264805
2021-09-16 17:27:22.803419 : Epoch  8, Batch    166, Loss  0.859042, Average Loss  0.867453, Time  0.237742
2021-09-16 17:27:25.269913 : Epoch  9, Batch   1312, Loss  0.882670, Average Loss  0.867873, Time  0.264422
2021-09-16 17:27:25.367674 : Epoch  8, Batch    167, Loss  0.850848, Average Loss  0.867435, Time  0.237626
2021-09-16 17:27:27.912888 : Epoch  8, Batch    168, Loss  0.844162, Average Loss  0.867342, Time  0.238001
2021-09-16 17:27:28.332837 : Epoch  9, Batch   1313, Loss  0.866139, Average Loss  0.867851, Time  0.264869
2021-09-16 17:27:30.482801 : Epoch  8, Batch    169, Loss  0.879789, Average Loss  0.867439, Time  0.237977
2021-09-16 17:27:31.388884 : Epoch  9, Batch   1314, Loss  0.863666, Average Loss  0.867782, Time  0.265127
2021-09-16 17:27:33.045225 : Epoch  8, Batch    170, Loss  0.872636, Average Loss  0.867480, Time  0.237910
2021-09-16 17:27:34.483158 : Epoch  9, Batch   1315, Loss  0.862692, Average Loss  0.867751, Time  0.277982
2021-09-16 17:27:35.627202 : Epoch  8, Batch    171, Loss  0.853322, Average Loss  0.867398, Time  0.237923
2021-09-16 17:27:37.544514 : Epoch  9, Batch   1316, Loss  0.836102, Average Loss  0.867578, Time  0.265924
2021-09-16 17:27:38.188118 : Epoch  8, Batch    172, Loss  0.863875, Average Loss  0.867475, Time  0.237409
2021-09-16 17:27:40.636904 : Epoch  9, Batch   1317, Loss  0.889645, Average Loss  0.867763, Time  0.264803
2021-09-16 17:27:40.752730 : Epoch  8, Batch    173, Loss  0.885099, Average Loss  0.867594, Time  0.237726
2021-09-16 17:27:43.318839 : Epoch  8, Batch    174, Loss  0.874003, Average Loss  0.867574, Time  0.237715
2021-09-16 17:27:43.698867 : Epoch  9, Batch   1318, Loss  0.879755, Average Loss  0.867781, Time  0.265159
2021-09-16 17:27:45.869695 : Epoch  8, Batch    175, Loss  0.854639, Average Loss  0.867465, Time  0.237764
2021-09-16 17:27:46.751188 : Epoch  9, Batch   1319, Loss  0.882824, Average Loss  0.867840, Time  0.265217
2021-09-16 17:27:48.458876 : Epoch  8, Batch    176, Loss  0.883465, Average Loss  0.867494, Time  0.237808
2021-09-16 17:27:49.822929 : Epoch  9, Batch   1320, Loss  0.878523, Average Loss  0.867828, Time  0.265020
2021-09-16 17:27:51.029907 : Epoch  8, Batch    177, Loss  0.892749, Average Loss  0.867711, Time  0.237575
2021-09-16 17:27:52.878866 : Epoch  9, Batch   1321, Loss  0.860845, Average Loss  0.867793, Time  0.265141
2021-09-16 17:27:53.605895 : Epoch  8, Batch    178, Loss  0.837636, Average Loss  0.867554, Time  0.237961
2021-09-16 17:27:55.928703 : Epoch  9, Batch   1322, Loss  0.882234, Average Loss  0.867828, Time  0.265418
2021-09-16 17:27:56.173142 : Epoch  8, Batch    179, Loss  0.861817, Average Loss  0.867616, Time  0.237770
2021-09-16 17:27:58.719921 : Epoch  8, Batch    180, Loss  0.869619, Average Loss  0.867740, Time  0.237484
2021-09-16 17:27:58.996713 : Epoch  9, Batch   1323, Loss  0.860554, Average Loss  0.867719, Time  0.266125
2021-09-16 17:28:01.294945 : Epoch  8, Batch    181, Loss  0.876396, Average Loss  0.867932, Time  0.238252
2021-09-16 17:28:02.051667 : Epoch  9, Batch   1324, Loss  0.878183, Average Loss  0.867860, Time  0.265399
2021-09-16 17:28:03.870726 : Epoch  8, Batch    182, Loss  0.886524, Average Loss  0.867917, Time  0.238470
2021-09-16 17:28:05.103282 : Epoch  9, Batch   1325, Loss  0.877035, Average Loss  0.867912, Time  0.265224
2021-09-16 17:28:06.431771 : Epoch  8, Batch    183, Loss  0.855767, Average Loss  0.867992, Time  0.238007
2021-09-16 17:28:08.172112 : Epoch  9, Batch   1326, Loss  0.850049, Average Loss  0.867792, Time  0.265039
2021-09-16 17:28:08.999811 : Epoch  8, Batch    184, Loss  0.868205, Average Loss  0.868083, Time  0.238523
2021-09-16 17:28:11.247939 : Epoch  9, Batch   1327, Loss  0.861650, Average Loss  0.867916, Time  0.265354
2021-09-16 17:28:11.559902 : Epoch  8, Batch    185, Loss  0.848383, Average Loss  0.867987, Time  0.237880
2021-09-16 17:28:14.160664 : Epoch  8, Batch    186, Loss  0.852666, Average Loss  0.867822, Time  0.266110
2021-09-16 17:28:14.320286 : Epoch  9, Batch   1328, Loss  0.885543, Average Loss  0.867915, Time  0.264995
2021-09-16 17:28:16.718036 : Epoch  8, Batch    187, Loss  0.873811, Average Loss  0.867911, Time  0.237785
2021-09-16 17:28:17.420141 : Epoch  9, Batch   1329, Loss  0.855524, Average Loss  0.867956, Time  0.265761
2021-09-16 17:28:19.287721 : Epoch  8, Batch    188, Loss  0.847242, Average Loss  0.867683, Time  0.237642
2021-09-16 17:28:20.519772 : Epoch  9, Batch   1330, Loss  0.873498, Average Loss  0.867960, Time  0.274131
2021-09-16 17:28:21.849218 : Epoch  8, Batch    189, Loss  0.860953, Average Loss  0.867715, Time  0.237703
2021-09-16 17:28:23.585126 : Epoch  9, Batch   1331, Loss  0.869800, Average Loss  0.868021, Time  0.265653
2021-09-16 17:28:24.410398 : Epoch  8, Batch    190, Loss  0.858364, Average Loss  0.867569, Time  0.240174
2021-09-16 17:28:26.649361 : Epoch  9, Batch   1332, Loss  0.866390, Average Loss  0.868134, Time  0.265034
2021-09-16 17:28:26.986697 : Epoch  8, Batch    191, Loss  0.890028, Average Loss  0.867686, Time  0.237585
2021-09-16 17:28:29.558935 : Epoch  8, Batch    192, Loss  0.880037, Average Loss  0.867751, Time  0.237642
2021-09-16 17:28:29.710021 : Epoch  9, Batch   1333, Loss  0.856682, Average Loss  0.868072, Time  0.264759
2021-09-16 17:28:32.119084 : Epoch  8, Batch    193, Loss  0.880526, Average Loss  0.867828, Time  0.237630
2021-09-16 17:28:32.804823 : Epoch  9, Batch   1334, Loss  0.874560, Average Loss  0.868096, Time  0.267101
2021-09-16 17:28:34.685959 : Epoch  8, Batch    194, Loss  0.882477, Average Loss  0.867848, Time  0.238055
2021-09-16 17:28:35.874398 : Epoch  9, Batch   1335, Loss  0.877443, Average Loss  0.868066, Time  0.264477
2021-09-16 17:28:37.251779 : Epoch  8, Batch    195, Loss  0.858967, Average Loss  0.867802, Time  0.237590
2021-09-16 17:28:38.922488 : Epoch  9, Batch   1336, Loss  0.852315, Average Loss  0.867961, Time  0.264863
2021-09-16 17:28:39.811907 : Epoch  8, Batch    196, Loss  0.875259, Average Loss  0.867870, Time  0.237864
2021-09-16 17:28:42.009274 : Epoch  9, Batch   1337, Loss  0.879751, Average Loss  0.867990, Time  0.265814
2021-09-16 17:28:42.368714 : Epoch  8, Batch    197, Loss  0.872833, Average Loss  0.867843, Time  0.237725
2021-09-16 17:28:44.954015 : Epoch  8, Batch    198, Loss  0.877841, Average Loss  0.867963, Time  0.238373
2021-09-16 17:28:45.065726 : Epoch  9, Batch   1338, Loss  0.890625, Average Loss  0.868097, Time  0.264925
2021-09-16 17:28:47.517739 : Epoch  8, Batch    199, Loss  0.876773, Average Loss  0.868019, Time  0.237665
2021-09-16 17:28:48.126025 : Epoch  9, Batch   1339, Loss  0.882673, Average Loss  0.868113, Time  0.264590
2021-09-16 17:28:50.098007 : Epoch  8, Batch    200, Loss  0.861785, Average Loss  0.867974, Time  0.238111
2021-09-16 17:28:51.196039 : Epoch  9, Batch   1340, Loss  0.850971, Average Loss  0.867963, Time  0.264807
2021-09-16 17:28:52.656184 : Epoch  8, Batch    201, Loss  0.885391, Average Loss  0.868207, Time  0.237481
2021-09-16 17:28:54.262411 : Epoch  9, Batch   1341, Loss  0.881478, Average Loss  0.868092, Time  0.265657
2021-09-16 17:28:55.211254 : Epoch  8, Batch    202, Loss  0.897028, Average Loss  0.868442, Time  0.237812
2021-09-16 17:28:57.327397 : Epoch  9, Batch   1342, Loss  0.875711, Average Loss  0.868105, Time  0.266362
2021-09-16 17:28:57.778197 : Epoch  8, Batch    203, Loss  0.867812, Average Loss  0.868365, Time  0.237853
2021-09-16 17:29:00.329692 : Epoch  8, Batch    204, Loss  0.865088, Average Loss  0.868313, Time  0.237585
2021-09-16 17:29:00.397366 : Epoch  9, Batch   1343, Loss  0.885032, Average Loss  0.868176, Time  0.264632
2021-09-16 17:29:02.912006 : Epoch  8, Batch    205, Loss  0.883407, Average Loss  0.868409, Time  0.238705
2021-09-16 17:29:03.418999 : Epoch  9, Batch   1344, Loss  0.888160, Average Loss  0.868325, Time  0.265167
2021-09-16 17:29:05.472153 : Epoch  8, Batch    206, Loss  0.863225, Average Loss  0.868418, Time  0.238476
2021-09-16 17:29:06.476419 : Epoch  9, Batch   1345, Loss  0.868568, Average Loss  0.868386, Time  0.275814
2021-09-16 17:29:08.035711 : Epoch  8, Batch    207, Loss  0.872682, Average Loss  0.868521, Time  0.238066
2021-09-16 17:29:09.550660 : Epoch  9, Batch   1346, Loss  0.868981, Average Loss  0.868380, Time  0.264907
2021-09-16 17:29:10.591959 : Epoch  8, Batch    208, Loss  0.887847, Average Loss  0.868546, Time  0.238370
2021-09-16 17:29:12.615800 : Epoch  9, Batch   1347, Loss  0.858383, Average Loss  0.868363, Time  0.265421
2021-09-16 17:29:15.709913 : Epoch  9, Batch   1348, Loss  0.899466, Average Loss  0.868423, Time  0.265278
2021-09-16 17:29:18.797089 : Epoch  9, Batch   1349, Loss  0.854548, Average Loss  0.868396, Time  0.265422
2021-09-16 17:29:21.858572 : Epoch  9, Batch   1350, Loss  0.867989, Average Loss  0.868498, Time  0.264803
2021-09-16 17:29:24.927365 : Epoch  9, Batch   1351, Loss  0.878952, Average Loss  0.868526, Time  0.265059
2021-09-16 17:29:27.985805 : Epoch  9, Batch   1352, Loss  0.886364, Average Loss  0.868599, Time  0.265326
2021-09-16 17:33:09.806685 : CheckPoint: Validation Loss  0.00029872, Best Loss  0.00029207
2021-09-16 17:33:12.381026 : Epoch  8, Batch    209, Loss  0.850447, Average Loss  0.868408, Time  0.238613
2021-09-16 17:33:14.940936 : Epoch  8, Batch    210, Loss  0.864716, Average Loss  0.868464, Time  0.237759
2021-09-16 17:33:17.517681 : Epoch  8, Batch    211, Loss  0.863639, Average Loss  0.868294, Time  0.237837
2021-09-16 17:33:20.080874 : Epoch  8, Batch    212, Loss  0.876500, Average Loss  0.868391, Time  0.237684
2021-09-16 17:33:22.642961 : Epoch  8, Batch    213, Loss  0.872377, Average Loss  0.868325, Time  0.237688
2021-09-16 17:33:25.215666 : Epoch  8, Batch    214, Loss  0.883832, Average Loss  0.868452, Time  0.237428
2021-09-16 17:33:27.774874 : Epoch  8, Batch    215, Loss  0.874095, Average Loss  0.868462, Time  0.237670
2021-09-16 17:33:30.354096 : Epoch  8, Batch    216, Loss  0.856789, Average Loss  0.868350, Time  0.237847
2021-09-16 17:33:32.944354 : Epoch  8, Batch    217, Loss  0.840718, Average Loss  0.868221, Time  0.237848
2021-09-16 17:33:35.508041 : Epoch  8, Batch    218, Loss  0.876310, Average Loss  0.868321, Time  0.238036
2021-09-16 17:33:38.112935 : Epoch  8, Batch    219, Loss  0.874762, Average Loss  0.868338, Time  0.238422
2021-09-16 17:33:40.691864 : Epoch  8, Batch    220, Loss  0.880171, Average Loss  0.868357, Time  0.238860
2021-09-16 17:33:43.266871 : Epoch  8, Batch    221, Loss  0.853310, Average Loss  0.868298, Time  0.238438
2021-09-16 17:33:45.836909 : Epoch  8, Batch    222, Loss  0.887000, Average Loss  0.868375, Time  0.238080
2021-09-16 17:33:48.447750 : Epoch  8, Batch    223, Loss  0.892094, Average Loss  0.868604, Time  0.257963
2021-09-16 17:33:51.114826 : Epoch  8, Batch    224, Loss  0.871619, Average Loss  0.868665, Time  0.259307
2021-09-16 17:33:53.717692 : Epoch  8, Batch    225, Loss  0.871316, Average Loss  0.868731, Time  0.240441
2021-09-16 17:33:56.301770 : Epoch  8, Batch    226, Loss  0.870932, Average Loss  0.868682, Time  0.239384
2021-09-16 17:33:58.877240 : Epoch  8, Batch    227, Loss  0.871583, Average Loss  0.868648, Time  0.237529
2021-09-16 17:34:01.450179 : Epoch  8, Batch    228, Loss  0.884490, Average Loss  0.868843, Time  0.239929
2021-09-16 17:34:04.027912 : Epoch  8, Batch    229, Loss  0.867750, Average Loss  0.868784, Time  0.237749
2021-09-16 17:34:06.637907 : Epoch  8, Batch    230, Loss  0.872287, Average Loss  0.868870, Time  0.237713
2021-09-16 17:34:09.217216 : Epoch  8, Batch    231, Loss  0.860363, Average Loss  0.868813, Time  0.239905
2021-09-16 17:34:10.023786 : CheckPoint: Validation Loss  0.00030534, Best Loss  0.00029014
2021-09-16 17:34:11.777705 : Epoch  8, Batch    232, Loss  0.873007, Average Loss  0.868872, Time  0.237854
2021-09-16 17:34:13.102911 : Epoch  9, Batch   1353, Loss  0.858299, Average Loss  0.868458, Time  0.265267
2021-09-16 17:34:14.354324 : Epoch  8, Batch    233, Loss  0.882981, Average Loss  0.868982, Time  0.237839
2021-09-16 17:34:16.152719 : Epoch  9, Batch   1354, Loss  0.867161, Average Loss  0.868547, Time  0.265053
2021-09-16 17:34:16.928899 : Epoch  8, Batch    234, Loss  0.875346, Average Loss  0.869021, Time  0.239043
2021-09-16 17:34:19.223613 : Epoch  9, Batch   1355, Loss  0.869578, Average Loss  0.868551, Time  0.264806
2021-09-16 17:34:19.500224 : Epoch  8, Batch    235, Loss  0.862660, Average Loss  0.869059, Time  0.238528
2021-09-16 17:34:22.058006 : Epoch  8, Batch    236, Loss  0.887712, Average Loss  0.869110, Time  0.237862
2021-09-16 17:34:22.293371 : Epoch  9, Batch   1356, Loss  0.872201, Average Loss  0.868612, Time  0.276559
2021-09-16 17:34:24.614026 : Epoch  8, Batch    237, Loss  0.869156, Average Loss  0.869236, Time  0.237458
2021-09-16 17:34:25.335611 : Epoch  9, Batch   1357, Loss  0.869461, Average Loss  0.868643, Time  0.265750
2021-09-16 17:34:27.180307 : Epoch  8, Batch    238, Loss  0.857632, Average Loss  0.869246, Time  0.238099
2021-09-16 17:34:28.413816 : Epoch  9, Batch   1358, Loss  0.867859, Average Loss  0.868703, Time  0.265194
2021-09-16 17:34:29.763064 : Epoch  8, Batch    239, Loss  0.885680, Average Loss  0.869332, Time  0.239372
2021-09-16 17:34:31.469691 : Epoch  9, Batch   1359, Loss  0.879684, Average Loss  0.868819, Time  0.265046
2021-09-16 17:34:32.326756 : Epoch  8, Batch    240, Loss  0.863635, Average Loss  0.869303, Time  0.237763
2021-09-16 17:34:34.525880 : Epoch  9, Batch   1360, Loss  0.888841, Average Loss  0.868880, Time  0.265424
2021-09-16 17:34:34.893930 : Epoch  8, Batch    241, Loss  0.851447, Average Loss  0.869113, Time  0.237827
2021-09-16 17:34:37.438946 : Epoch  8, Batch    242, Loss  0.856641, Average Loss  0.869024, Time  0.237895
2021-09-16 17:34:37.584637 : Epoch  9, Batch   1361, Loss  0.856056, Average Loss  0.868869, Time  0.266405
2021-09-16 17:34:40.017925 : Epoch  8, Batch    243, Loss  0.857071, Average Loss  0.868900, Time  0.237839
2021-09-16 17:34:40.627253 : Epoch  9, Batch   1362, Loss  0.858134, Average Loss  0.868823, Time  0.265080
2021-09-16 17:34:42.575672 : Epoch  8, Batch    244, Loss  0.863215, Average Loss  0.868824, Time  0.238627
2021-09-16 17:34:43.672746 : Epoch  9, Batch   1363, Loss  0.869510, Average Loss  0.868929, Time  0.264953
2021-09-16 17:34:45.144988 : Epoch  8, Batch    245, Loss  0.865409, Average Loss  0.868792, Time  0.238546
2021-09-16 17:34:46.733528 : Epoch  9, Batch   1364, Loss  0.879534, Average Loss  0.868938, Time  0.265106
2021-09-16 17:34:47.719805 : Epoch  8, Batch    246, Loss  0.894745, Average Loss  0.869061, Time  0.237798
2021-09-16 17:34:49.806980 : Epoch  9, Batch   1365, Loss  0.874521, Average Loss  0.868756, Time  0.272612
2021-09-16 17:34:50.285080 : Epoch  8, Batch    247, Loss  0.840984, Average Loss  0.868920, Time  0.237994
2021-09-16 17:34:52.828726 : Epoch  8, Batch    248, Loss  0.874129, Average Loss  0.868996, Time  0.237980
2021-09-16 17:34:52.885260 : Epoch  9, Batch   1366, Loss  0.871969, Average Loss  0.868817, Time  0.265284
2021-09-16 17:34:55.417937 : Epoch  8, Batch    249, Loss  0.898297, Average Loss  0.869096, Time  0.237601
2021-09-16 17:34:55.950218 : Epoch  9, Batch   1367, Loss  0.858713, Average Loss  0.868762, Time  0.264928
2021-09-16 17:34:57.997755 : Epoch  8, Batch    250, Loss  0.881414, Average Loss  0.869157, Time  0.238123
2021-09-16 17:34:59.037131 : Epoch  9, Batch   1368, Loss  0.880017, Average Loss  0.868764, Time  0.266411
2021-09-16 17:35:00.578911 : Epoch  8, Batch    251, Loss  0.858279, Average Loss  0.869099, Time  0.238611
2021-09-16 17:35:02.097750 : Epoch  9, Batch   1369, Loss  0.854544, Average Loss  0.868677, Time  0.265506
2021-09-16 17:35:03.145025 : Epoch  8, Batch    252, Loss  0.857257, Average Loss  0.868995, Time  0.239123
2021-09-16 17:35:05.154308 : Epoch  9, Batch   1370, Loss  0.877954, Average Loss  0.868677, Time  0.264970
2021-09-16 17:35:05.708883 : Epoch  8, Batch    253, Loss  0.876926, Average Loss  0.869072, Time  0.239841
2021-09-16 17:35:08.233050 : Epoch  9, Batch   1371, Loss  0.868717, Average Loss  0.868542, Time  0.277550
2021-09-16 17:35:08.280969 : Epoch  8, Batch    254, Loss  0.869726, Average Loss  0.869068, Time  0.237672
2021-09-16 17:35:10.834789 : Epoch  8, Batch    255, Loss  0.884709, Average Loss  0.869196, Time  0.237664
2021-09-16 17:35:11.307409 : Epoch  9, Batch   1372, Loss  0.868775, Average Loss  0.868511, Time  0.266524
2021-09-16 17:35:13.399826 : Epoch  8, Batch    256, Loss  0.855908, Average Loss  0.869026, Time  0.237939
2021-09-16 17:35:14.370374 : Epoch  9, Batch   1373, Loss  0.857890, Average Loss  0.868495, Time  0.265376
2021-09-16 17:35:15.968069 : Epoch  8, Batch    257, Loss  0.873416, Average Loss  0.869095, Time  0.237885
2021-09-16 17:35:17.420033 : Epoch  9, Batch   1374, Loss  0.840775, Average Loss  0.868389, Time  0.264589
2021-09-16 17:35:18.537991 : Epoch  8, Batch    258, Loss  0.860386, Average Loss  0.869046, Time  0.237514
2021-09-16 17:35:20.476280 : Epoch  9, Batch   1375, Loss  0.885050, Average Loss  0.868568, Time  0.264491
2021-09-16 17:35:21.145856 : Epoch  8, Batch    259, Loss  0.859604, Average Loss  0.868920, Time  0.237824
2021-09-16 17:35:23.525640 : Epoch  9, Batch   1376, Loss  0.865028, Average Loss  0.868615, Time  0.264926
2021-09-16 17:35:23.743165 : Epoch  8, Batch    260, Loss  0.870299, Average Loss  0.868958, Time  0.239287
2021-09-16 17:35:26.337014 : Epoch  8, Batch    261, Loss  0.871938, Average Loss  0.868985, Time  0.237787
2021-09-16 17:35:26.574982 : Epoch  9, Batch   1377, Loss  0.863695, Average Loss  0.868482, Time  0.264711
2021-09-16 17:35:28.934153 : Epoch  8, Batch    262, Loss  0.877868, Average Loss  0.869038, Time  0.238245
2021-09-16 17:35:29.612834 : Epoch  9, Batch   1378, Loss  0.881105, Average Loss  0.868608, Time  0.264305
2021-09-16 17:35:31.524927 : Epoch  8, Batch    263, Loss  0.867906, Average Loss  0.869090, Time  0.237660
2021-09-16 17:35:32.663848 : Epoch  9, Batch   1379, Loss  0.867494, Average Loss  0.868635, Time  0.264516
2021-09-16 17:35:34.114034 : Epoch  8, Batch    264, Loss  0.879844, Average Loss  0.869072, Time  0.237827
2021-09-16 17:35:35.721724 : Epoch  9, Batch   1380, Loss  0.865722, Average Loss  0.868678, Time  0.265305
2021-09-16 17:35:36.706981 : Epoch  8, Batch    265, Loss  0.863479, Average Loss  0.869096, Time  0.238027
2021-09-16 17:35:38.786269 : Epoch  9, Batch   1381, Loss  0.857697, Average Loss  0.868625, Time  0.265303
2021-09-16 17:35:39.297706 : Epoch  8, Batch    266, Loss  0.855658, Average Loss  0.868989, Time  0.238481
2021-09-16 17:35:41.847024 : Epoch  9, Batch   1382, Loss  0.859227, Average Loss  0.868604, Time  0.264740
2021-09-16 17:35:41.875006 : Epoch  8, Batch    267, Loss  0.869092, Average Loss  0.869014, Time  0.237461
2021-09-16 17:35:44.469163 : Epoch  8, Batch    268, Loss  0.871785, Average Loss  0.869025, Time  0.237902
2021-09-16 17:35:44.909480 : Epoch  9, Batch   1383, Loss  0.868579, Average Loss  0.868591, Time  0.266042
2021-09-16 17:35:47.062729 : Epoch  8, Batch    269, Loss  0.868014, Average Loss  0.869057, Time  0.237527
2021-09-16 17:35:47.980356 : Epoch  9, Batch   1384, Loss  0.865921, Average Loss  0.868425, Time  0.264680
2021-09-16 17:35:49.666211 : Epoch  8, Batch    270, Loss  0.880966, Average Loss  0.869236, Time  0.238058
2021-09-16 17:35:51.043221 : Epoch  9, Batch   1385, Loss  0.871780, Average Loss  0.868431, Time  0.264411
2021-09-16 17:35:52.255931 : Epoch  8, Batch    271, Loss  0.854274, Average Loss  0.869232, Time  0.238410
2021-09-16 17:35:54.117842 : Epoch  9, Batch   1386, Loss  0.862671, Average Loss  0.868457, Time  0.273620
2021-09-16 17:35:54.850805 : Epoch  8, Batch    272, Loss  0.869069, Average Loss  0.869208, Time  0.238123
2021-09-16 17:35:57.218050 : Epoch  9, Batch   1387, Loss  0.868794, Average Loss  0.868504, Time  0.265460
2021-09-16 17:35:57.471907 : Epoch  8, Batch    273, Loss  0.869314, Average Loss  0.869215, Time  0.237778
2021-09-16 17:36:00.072900 : Epoch  8, Batch    274, Loss  0.863157, Average Loss  0.869067, Time  0.238029
2021-09-16 17:36:00.281480 : Epoch  9, Batch   1388, Loss  0.877844, Average Loss  0.868583, Time  0.265195
2021-09-16 17:36:02.663927 : Epoch  8, Batch    275, Loss  0.885365, Average Loss  0.869081, Time  0.237564
2021-09-16 17:36:03.331958 : Epoch  9, Batch   1389, Loss  0.877014, Average Loss  0.868683, Time  0.265612
2021-09-16 17:36:05.249879 : Epoch  8, Batch    276, Loss  0.855920, Average Loss  0.869086, Time  0.237790
2021-09-16 17:36:06.413833 : Epoch  9, Batch   1390, Loss  0.865010, Average Loss  0.868716, Time  0.265375
2021-09-16 17:36:07.855937 : Epoch  8, Batch    277, Loss  0.868115, Average Loss  0.869051, Time  0.238687
2021-09-16 17:36:09.485154 : Epoch  9, Batch   1391, Loss  0.887836, Average Loss  0.868870, Time  0.265416
2021-09-16 17:36:10.443667 : Epoch  8, Batch    278, Loss  0.861266, Average Loss  0.869045, Time  0.237721
2021-09-16 17:36:12.559986 : Epoch  9, Batch   1392, Loss  0.864836, Average Loss  0.868977, Time  0.265333
2021-09-16 17:36:13.031765 : Epoch  8, Batch    279, Loss  0.863357, Average Loss  0.869045, Time  0.238046
2021-09-16 17:36:15.617830 : Epoch  8, Batch    280, Loss  0.856832, Average Loss  0.868957, Time  0.237993
2021-09-16 17:36:15.625663 : Epoch  9, Batch   1393, Loss  0.882842, Average Loss  0.869000, Time  0.266238
2021-09-16 17:36:18.210895 : Epoch  8, Batch    281, Loss  0.880686, Average Loss  0.869089, Time  0.237764
2021-09-16 17:36:18.693187 : Epoch  9, Batch   1394, Loss  0.876161, Average Loss  0.869152, Time  0.265237
2021-09-16 17:36:20.797920 : Epoch  8, Batch    282, Loss  0.867104, Average Loss  0.869035, Time  0.237622
2021-09-16 17:36:21.735876 : Epoch  9, Batch   1395, Loss  0.899247, Average Loss  0.869372, Time  0.265365
2021-09-16 17:36:23.384698 : Epoch  8, Batch    283, Loss  0.873216, Average Loss  0.869039, Time  0.237646
2021-09-16 17:36:24.815868 : Epoch  9, Batch   1396, Loss  0.857119, Average Loss  0.869173, Time  0.264677
2021-09-16 17:36:25.973774 : Epoch  8, Batch    284, Loss  0.880518, Average Loss  0.869088, Time  0.237966
2021-09-16 17:36:27.864922 : Epoch  9, Batch   1397, Loss  0.868330, Average Loss  0.869095, Time  0.264787
2021-09-16 17:36:28.586902 : Epoch  8, Batch    285, Loss  0.869967, Average Loss  0.869212, Time  0.238804
2021-09-16 17:36:30.942190 : Epoch  9, Batch   1398, Loss  0.874003, Average Loss  0.869174, Time  0.264856
2021-09-16 17:36:31.171964 : Epoch  8, Batch    286, Loss  0.866100, Average Loss  0.869114, Time  0.237819
2021-09-16 17:36:33.758123 : Epoch  8, Batch    287, Loss  0.880041, Average Loss  0.869167, Time  0.238596
2021-09-16 17:36:34.009366 : Epoch  9, Batch   1399, Loss  0.881869, Average Loss  0.869199, Time  0.264561
2021-09-16 17:36:36.347746 : Epoch  8, Batch    288, Loss  0.889294, Average Loss  0.869222, Time  0.237703
2021-09-16 17:36:37.059779 : Epoch  9, Batch   1400, Loss  0.876645, Average Loss  0.869244, Time  0.264401
2021-09-16 17:36:38.945926 : Epoch  8, Batch    289, Loss  0.869323, Average Loss  0.869195, Time  0.237915
2021-09-16 17:36:40.138457 : Epoch  9, Batch   1401, Loss  0.878194, Average Loss  0.869294, Time  0.278563
2021-09-16 17:36:41.535126 : Epoch  8, Batch    290, Loss  0.876120, Average Loss  0.869261, Time  0.237665
2021-09-16 17:36:43.212854 : Epoch  9, Batch   1402, Loss  0.852555, Average Loss  0.869211, Time  0.266155
2021-09-16 17:36:44.121011 : Epoch  8, Batch    291, Loss  0.854243, Average Loss  0.869216, Time  0.237985
2021-09-16 17:36:46.281307 : Epoch  9, Batch   1403, Loss  0.886316, Average Loss  0.869326, Time  0.264901
2021-09-16 17:36:46.717157 : Epoch  8, Batch    292, Loss  0.875427, Average Loss  0.869186, Time  0.237909
2021-09-16 17:36:49.291083 : Epoch  8, Batch    293, Loss  0.870275, Average Loss  0.869171, Time  0.237787
2021-09-16 17:36:49.333840 : Epoch  9, Batch   1404, Loss  0.850922, Average Loss  0.869268, Time  0.264647
2021-09-16 17:36:51.879756 : Epoch  8, Batch    294, Loss  0.886522, Average Loss  0.869251, Time  0.237732
2021-09-16 17:36:52.374219 : Epoch  9, Batch   1405, Loss  0.891194, Average Loss  0.869307, Time  0.265210
2021-09-16 17:36:54.482979 : Epoch  8, Batch    295, Loss  0.861602, Average Loss  0.869236, Time  0.238844
2021-09-16 17:36:55.420828 : Epoch  9, Batch   1406, Loss  0.880837, Average Loss  0.869368, Time  0.264444
2021-09-16 17:36:57.072853 : Epoch  8, Batch    296, Loss  0.864893, Average Loss  0.869147, Time  0.237911
2021-09-16 17:36:58.488105 : Epoch  9, Batch   1407, Loss  0.866660, Average Loss  0.869304, Time  0.265061
2021-09-16 17:36:59.669100 : Epoch  8, Batch    297, Loss  0.871888, Average Loss  0.869160, Time  0.238209
2021-09-16 17:37:01.548613 : Epoch  9, Batch   1408, Loss  0.854904, Average Loss  0.869291, Time  0.267135
2021-09-16 17:37:02.259007 : Epoch  8, Batch    298, Loss  0.863812, Average Loss  0.869191, Time  0.237382
2021-09-16 17:37:04.606168 : Epoch  9, Batch   1409, Loss  0.864810, Average Loss  0.869402, Time  0.264603
2021-09-16 17:37:04.857917 : Epoch  8, Batch    299, Loss  0.865704, Average Loss  0.869125, Time  0.238117
2021-09-16 17:37:07.441680 : Epoch  8, Batch    300, Loss  0.854611, Average Loss  0.869000, Time  0.237913
2021-09-16 17:37:07.658332 : Epoch  9, Batch   1410, Loss  0.854327, Average Loss  0.869233, Time  0.264475
2021-09-16 17:37:10.038003 : Epoch  8, Batch    301, Loss  0.875213, Average Loss  0.868906, Time  0.238044
2021-09-16 17:37:10.704095 : Epoch  9, Batch   1411, Loss  0.860045, Average Loss  0.869249, Time  0.264419
2021-09-16 17:37:12.636929 : Epoch  8, Batch    302, Loss  0.872528, Average Loss  0.868871, Time  0.237880
2021-09-16 17:37:13.767862 : Epoch  9, Batch   1412, Loss  0.878095, Average Loss  0.869375, Time  0.265033
2021-09-16 17:37:15.237091 : Epoch  8, Batch    303, Loss  0.872822, Average Loss  0.868924, Time  0.238466
2021-09-16 17:37:16.841072 : Epoch  9, Batch   1413, Loss  0.864197, Average Loss  0.869319, Time  0.265486
2021-09-16 17:37:17.830941 : Epoch  8, Batch    304, Loss  0.863581, Average Loss  0.868837, Time  0.238675
2021-09-16 17:37:19.942853 : Epoch  9, Batch   1414, Loss  0.874988, Average Loss  0.869354, Time  0.264880
2021-09-16 17:37:20.424850 : Epoch  8, Batch    305, Loss  0.872105, Average Loss  0.868859, Time  0.237840
2021-09-16 17:37:23.001400 : Epoch  9, Batch   1415, Loss  0.863883, Average Loss  0.869376, Time  0.264599
2021-09-16 17:37:23.005956 : Epoch  8, Batch    306, Loss  0.884948, Average Loss  0.868996, Time  0.238018
2021-09-16 17:37:25.619923 : Epoch  8, Batch    307, Loss  0.873245, Average Loss  0.868955, Time  0.237638
2021-09-16 17:37:26.060414 : Epoch  9, Batch   1416, Loss  0.864355, Average Loss  0.869393, Time  0.271004
2021-09-16 17:37:28.213666 : Epoch  8, Batch    308, Loss  0.863588, Average Loss  0.868938, Time  0.237689
2021-09-16 17:37:29.127555 : Epoch  9, Batch   1417, Loss  0.899867, Average Loss  0.869601, Time  0.265246
2021-09-16 17:37:32.190128 : Epoch  9, Batch   1418, Loss  0.855894, Average Loss  0.869478, Time  0.267450
2021-09-16 17:37:35.261639 : Epoch  9, Batch   1419, Loss  0.855137, Average Loss  0.869369, Time  0.264775
2021-09-16 17:37:38.318410 : Epoch  9, Batch   1420, Loss  0.867502, Average Loss  0.869425, Time  0.264284
2021-09-16 17:37:41.391431 : Epoch  9, Batch   1421, Loss  0.871801, Average Loss  0.869517, Time  0.264861
2021-09-16 17:37:44.448480 : Epoch  9, Batch   1422, Loss  0.872721, Average Loss  0.869557, Time  0.265624
2021-09-16 17:37:47.518259 : Epoch  9, Batch   1423, Loss  0.849695, Average Loss  0.869550, Time  0.264600
2021-09-16 17:37:50.590867 : Epoch  9, Batch   1424, Loss  0.887170, Average Loss  0.869604, Time  0.264761
2021-09-16 17:37:53.648938 : Epoch  9, Batch   1425, Loss  0.853825, Average Loss  0.869612, Time  0.264723
2021-09-16 17:37:56.714141 : Epoch  9, Batch   1426, Loss  0.869319, Average Loss  0.869472, Time  0.265537
2021-09-16 17:37:59.767296 : Epoch  9, Batch   1427, Loss  0.883306, Average Loss  0.869620, Time  0.264768
2021-09-16 17:38:02.826118 : Epoch  9, Batch   1428, Loss  0.879355, Average Loss  0.869726, Time  0.264689
2021-09-16 17:38:05.888502 : Epoch  9, Batch   1429, Loss  0.868412, Average Loss  0.869722, Time  0.265340
2021-09-16 17:38:08.941458 : Epoch  9, Batch   1430, Loss  0.871611, Average Loss  0.869737, Time  0.264439
2021-09-16 17:38:12.035228 : Epoch  9, Batch   1431, Loss  0.887508, Average Loss  0.869782, Time  0.278856
2021-09-16 17:38:15.106186 : Epoch  9, Batch   1432, Loss  0.860663, Average Loss  0.869769, Time  0.265809
2021-09-16 17:38:18.191999 : Epoch  9, Batch   1433, Loss  0.891336, Average Loss  0.869892, Time  0.264696
2021-09-16 17:38:21.249871 : Epoch  9, Batch   1434, Loss  0.851400, Average Loss  0.869875, Time  0.264231
2021-09-16 17:38:24.324665 : Epoch  9, Batch   1435, Loss  0.843146, Average Loss  0.869806, Time  0.263994
2021-09-16 17:38:27.385439 : Epoch  9, Batch   1436, Loss  0.884053, Average Loss  0.869917, Time  0.264789
2021-09-16 17:38:30.429666 : Epoch  9, Batch   1437, Loss  0.866236, Average Loss  0.869810, Time  0.264374
2021-09-16 17:38:33.494353 : Epoch  9, Batch   1438, Loss  0.865552, Average Loss  0.869736, Time  0.265094
2021-09-16 17:38:36.553528 : Epoch  9, Batch   1439, Loss  0.872624, Average Loss  0.869846, Time  0.264113
2021-09-16 17:38:39.632865 : Epoch  9, Batch   1440, Loss  0.869665, Average Loss  0.869949, Time  0.264626
2021-09-16 17:38:42.692782 : Epoch  9, Batch   1441, Loss  0.891019, Average Loss  0.869973, Time  0.265022
2021-09-16 17:38:45.775043 : Epoch  9, Batch   1442, Loss  0.882466, Average Loss  0.870029, Time  0.265621
2021-09-16 17:38:48.835534 : Epoch  9, Batch   1443, Loss  0.854175, Average Loss  0.869779, Time  0.264850
2021-09-16 17:38:51.908392 : Epoch  9, Batch   1444, Loss  0.868113, Average Loss  0.869793, Time  0.264694
2021-09-16 17:38:54.993730 : Epoch  9, Batch   1445, Loss  0.859557, Average Loss  0.869723, Time  0.264981
2021-09-16 17:38:58.066622 : Epoch  9, Batch   1446, Loss  0.865241, Average Loss  0.869748, Time  0.275878
2021-09-16 17:39:01.131212 : Epoch  9, Batch   1447, Loss  0.857554, Average Loss  0.869638, Time  0.265538
2021-09-16 17:39:04.186366 : Epoch  9, Batch   1448, Loss  0.868113, Average Loss  0.869508, Time  0.265055
2021-09-16 17:39:07.245552 : Epoch  9, Batch   1449, Loss  0.870636, Average Loss  0.869473, Time  0.264829
2021-09-16 17:39:10.297554 : Epoch  9, Batch   1450, Loss  0.885210, Average Loss  0.869627, Time  0.265694
2021-09-16 17:39:13.354236 : Epoch  9, Batch   1451, Loss  0.871097, Average Loss  0.869651, Time  0.265298
2021-09-16 17:39:16.425145 : Epoch  9, Batch   1452, Loss  0.884444, Average Loss  0.869747, Time  0.264914
2021-09-16 17:41:26.422697 : CheckPoint: Validation Loss  0.00030796, Best Loss  0.00029207
2021-09-16 17:41:29.022795 : Epoch  8, Batch    309, Loss  0.885029, Average Loss  0.868889, Time  0.260521
2021-09-16 17:41:31.603712 : Epoch  8, Batch    310, Loss  0.852014, Average Loss  0.868908, Time  0.237596
2021-09-16 17:41:34.176750 : Epoch  8, Batch    311, Loss  0.871745, Average Loss  0.868946, Time  0.237620
2021-09-16 17:41:36.752894 : Epoch  8, Batch    312, Loss  0.877428, Average Loss  0.869112, Time  0.237760
2021-09-16 17:41:39.328869 : Epoch  8, Batch    313, Loss  0.887283, Average Loss  0.869128, Time  0.238195
2021-09-16 17:41:41.904115 : Epoch  8, Batch    314, Loss  0.859780, Average Loss  0.869100, Time  0.238355
2021-09-16 17:41:44.485843 : Epoch  8, Batch    315, Loss  0.857414, Average Loss  0.869141, Time  0.237926
2021-09-16 17:41:47.063722 : Epoch  8, Batch    316, Loss  0.891561, Average Loss  0.869278, Time  0.237768
2021-09-16 17:41:49.653272 : Epoch  8, Batch    317, Loss  0.877019, Average Loss  0.869310, Time  0.238940
2021-09-16 17:41:52.226855 : Epoch  8, Batch    318, Loss  0.870380, Average Loss  0.869346, Time  0.237753
2021-09-16 17:41:54.802179 : Epoch  8, Batch    319, Loss  0.867252, Average Loss  0.869289, Time  0.238403
2021-09-16 17:41:57.376156 : Epoch  8, Batch    320, Loss  0.849021, Average Loss  0.869194, Time  0.238750
2021-09-16 17:41:59.947959 : Epoch  8, Batch    321, Loss  0.876059, Average Loss  0.869290, Time  0.237680
2021-09-16 17:42:02.521898 : Epoch  8, Batch    322, Loss  0.876360, Average Loss  0.869266, Time  0.237525
2021-09-16 17:42:05.089810 : Epoch  8, Batch    323, Loss  0.873580, Average Loss  0.869309, Time  0.238347
2021-09-16 17:42:07.658785 : Epoch  8, Batch    324, Loss  0.855754, Average Loss  0.869308, Time  0.237518
2021-09-16 17:42:10.263912 : Epoch  8, Batch    325, Loss  0.876114, Average Loss  0.869477, Time  0.238469
2021-09-16 17:42:12.835673 : Epoch  8, Batch    326, Loss  0.860359, Average Loss  0.869493, Time  0.238521
2021-09-16 17:42:15.417707 : Epoch  8, Batch    327, Loss  0.867681, Average Loss  0.869566, Time  0.237490
2021-09-16 17:42:17.992731 : Epoch  8, Batch    328, Loss  0.845006, Average Loss  0.869412, Time  0.238164
2021-09-16 17:42:20.577780 : Epoch  8, Batch    329, Loss  0.867523, Average Loss  0.869438, Time  0.237783
2021-09-16 17:42:23.148977 : Epoch  8, Batch    330, Loss  0.857874, Average Loss  0.869375, Time  0.237495
2021-09-16 17:42:25.727878 : Epoch  8, Batch    331, Loss  0.851748, Average Loss  0.869327, Time  0.237679
2021-09-16 17:42:28.308707 : Epoch  8, Batch    332, Loss  0.864874, Average Loss  0.869368, Time  0.237635
2021-09-16 17:42:30.874264 : Epoch  8, Batch    333, Loss  0.866281, Average Loss  0.869360, Time  0.237780
2021-09-16 17:42:33.468861 : Epoch  8, Batch    334, Loss  0.879142, Average Loss  0.869438, Time  0.238426
2021-09-16 17:42:36.065717 : Epoch  8, Batch    335, Loss  0.852224, Average Loss  0.869354, Time  0.237435
2021-09-16 17:42:38.640998 : Epoch  8, Batch    336, Loss  0.877557, Average Loss  0.869417, Time  0.238161
2021-09-16 17:42:41.241119 : Epoch  8, Batch    337, Loss  0.845495, Average Loss  0.869240, Time  0.237526
2021-09-16 17:42:43.817700 : Epoch  8, Batch    338, Loss  0.863791, Average Loss  0.869243, Time  0.237546
2021-09-16 17:42:46.394880 : Epoch  8, Batch    339, Loss  0.856273, Average Loss  0.869155, Time  0.237736
2021-09-16 17:42:48.963866 : Epoch  8, Batch    340, Loss  0.885405, Average Loss  0.869271, Time  0.238581
2021-09-16 17:42:51.538875 : Epoch  8, Batch    341, Loss  0.898208, Average Loss  0.869562, Time  0.237414
2021-09-16 17:42:54.110721 : Epoch  8, Batch    342, Loss  0.856001, Average Loss  0.869515, Time  0.238620
2021-09-16 17:42:56.685904 : Epoch  8, Batch    343, Loss  0.871379, Average Loss  0.869408, Time  0.238054
2021-09-16 17:42:59.261816 : Epoch  8, Batch    344, Loss  0.866935, Average Loss  0.869435, Time  0.237836
2021-09-16 17:43:01.861857 : Epoch  8, Batch    345, Loss  0.877998, Average Loss  0.869368, Time  0.237457
2021-09-16 17:43:04.426917 : Epoch  8, Batch    346, Loss  0.877040, Average Loss  0.869423, Time  0.237718
2021-09-16 17:43:07.005196 : Epoch  8, Batch    347, Loss  0.869627, Average Loss  0.869388, Time  0.238229
2021-09-16 17:43:09.579999 : Epoch  8, Batch    348, Loss  0.865489, Average Loss  0.869359, Time  0.237698
2021-09-16 17:43:12.171881 : Epoch  8, Batch    349, Loss  0.877815, Average Loss  0.869438, Time  0.238008
2021-09-16 17:43:14.740043 : Epoch  8, Batch    350, Loss  0.881561, Average Loss  0.869617, Time  0.237810
2021-09-16 17:43:17.336012 : Epoch  8, Batch    351, Loss  0.858631, Average Loss  0.869631, Time  0.238178
2021-09-16 17:43:19.907046 : Epoch  8, Batch    352, Loss  0.859540, Average Loss  0.869514, Time  0.237935
2021-09-16 17:43:22.488570 : Epoch  8, Batch    353, Loss  0.859690, Average Loss  0.869543, Time  0.237439
2021-09-16 17:43:25.062868 : Epoch  8, Batch    354, Loss  0.849092, Average Loss  0.869415, Time  0.238005
2021-09-16 17:43:27.630178 : Epoch  8, Batch    355, Loss  0.875674, Average Loss  0.869441, Time  0.238732
2021-09-16 17:43:30.208692 : Epoch  8, Batch    356, Loss  0.864212, Average Loss  0.869423, Time  0.237660
2021-09-16 17:43:32.780995 : Epoch  8, Batch    357, Loss  0.876655, Average Loss  0.869304, Time  0.237731
2021-09-16 17:43:35.340851 : Epoch  8, Batch    358, Loss  0.859746, Average Loss  0.869384, Time  0.238186
2021-09-16 17:43:37.917126 : Epoch  8, Batch    359, Loss  0.861413, Average Loss  0.869350, Time  0.237393
2021-09-16 17:43:40.483683 : Epoch  8, Batch    360, Loss  0.889613, Average Loss  0.869408, Time  0.237664
2021-09-16 17:43:43.050864 : Epoch  8, Batch    361, Loss  0.874042, Average Loss  0.869495, Time  0.237700
2021-09-16 17:43:45.622874 : Epoch  8, Batch    362, Loss  0.887454, Average Loss  0.869637, Time  0.237990
2021-09-16 17:43:48.196105 : Epoch  8, Batch    363, Loss  0.865719, Average Loss  0.869618, Time  0.237571
2021-09-16 17:43:50.770877 : Epoch  8, Batch    364, Loss  0.847253, Average Loss  0.869330, Time  0.238671
2021-09-16 17:43:53.338894 : Epoch  8, Batch    365, Loss  0.856063, Average Loss  0.869196, Time  0.237963
2021-09-16 17:43:55.348403 : CheckPoint: Validation Loss  0.00030665, Best Loss  0.00029014
2021-09-16 17:43:55.907757 : Epoch  8, Batch    366, Loss  0.874348, Average Loss  0.869273, Time  0.238523
2021-09-16 17:43:58.331983 : Epoch  9, Batch   1453, Loss  0.872701, Average Loss  0.869907, Time  0.264917
2021-09-16 17:43:58.477913 : Epoch  8, Batch    367, Loss  0.894538, Average Loss  0.869491, Time  0.237582
2021-09-16 17:44:01.034625 : Epoch  8, Batch    368, Loss  0.889789, Average Loss  0.869719, Time  0.238006
2021-09-16 17:44:01.335778 : Epoch  9, Batch   1454, Loss  0.876418, Average Loss  0.869945, Time  0.264591
2021-09-16 17:44:03.631001 : Epoch  8, Batch    369, Loss  0.873357, Average Loss  0.869687, Time  0.237514
2021-09-16 17:44:04.311331 : Epoch  9, Batch   1455, Loss  0.869085, Average Loss  0.869952, Time  0.264075
2021-09-16 17:44:06.211942 : Epoch  8, Batch    370, Loss  0.868621, Average Loss  0.869667, Time  0.238251
2021-09-16 17:44:07.274730 : Epoch  9, Batch   1456, Loss  0.877703, Average Loss  0.870010, Time  0.263817
2021-09-16 17:44:08.791680 : Epoch  8, Batch    371, Loss  0.834704, Average Loss  0.869574, Time  0.237498
2021-09-16 17:44:10.242536 : Epoch  9, Batch   1457, Loss  0.883517, Average Loss  0.870202, Time  0.264620
2021-09-16 17:44:11.377603 : Epoch  8, Batch    372, Loss  0.861869, Average Loss  0.869564, Time  0.237604
2021-09-16 17:44:13.199076 : Epoch  9, Batch   1458, Loss  0.865006, Average Loss  0.870229, Time  0.264799
2021-09-16 17:44:13.968695 : Epoch  8, Batch    373, Loss  0.874211, Average Loss  0.869510, Time  0.237839
2021-09-16 17:44:16.192507 : Epoch  9, Batch   1459, Loss  0.894315, Average Loss  0.870203, Time  0.265168
2021-09-16 17:44:16.536004 : Epoch  8, Batch    374, Loss  0.855935, Average Loss  0.869419, Time  0.237576
2021-09-16 17:44:19.099804 : Epoch  8, Batch    375, Loss  0.861666, Average Loss  0.869454, Time  0.237759
2021-09-16 17:44:19.175389 : Epoch  9, Batch   1460, Loss  0.866261, Average Loss  0.870208, Time  0.272326
2021-09-16 17:44:21.664944 : Epoch  8, Batch    376, Loss  0.882419, Average Loss  0.869449, Time  0.237796
2021-09-16 17:44:22.169003 : Epoch  9, Batch   1461, Loss  0.860037, Average Loss  0.870046, Time  0.264281
2021-09-16 17:44:24.237030 : Epoch  8, Batch    377, Loss  0.864483, Average Loss  0.869308, Time  0.237506
2021-09-16 17:44:25.139901 : Epoch  9, Batch   1462, Loss  0.883118, Average Loss  0.870018, Time  0.265023
2021-09-16 17:44:26.801981 : Epoch  8, Batch    378, Loss  0.882868, Average Loss  0.869534, Time  0.238089
2021-09-16 17:44:28.123107 : Epoch  9, Batch   1463, Loss  0.869969, Average Loss  0.869946, Time  0.263947
2021-09-16 17:44:29.369895 : Epoch  8, Batch    379, Loss  0.892360, Average Loss  0.869687, Time  0.237567
2021-09-16 17:44:31.090160 : Epoch  9, Batch   1464, Loss  0.875668, Average Loss  0.870083, Time  0.264290
2021-09-16 17:44:31.940907 : Epoch  8, Batch    380, Loss  0.900593, Average Loss  0.869842, Time  0.237473
2021-09-16 17:44:34.078741 : Epoch  9, Batch   1465, Loss  0.856977, Average Loss  0.869942, Time  0.264411
2021-09-16 17:44:34.514141 : Epoch  8, Batch    381, Loss  0.878984, Average Loss  0.869855, Time  0.238266
2021-09-16 17:44:37.075730 : Epoch  9, Batch   1466, Loss  0.873752, Average Loss  0.870043, Time  0.266275
2021-09-16 17:44:37.078081 : Epoch  8, Batch    382, Loss  0.873629, Average Loss  0.869790, Time  0.237424
2021-09-16 17:44:39.673559 : Epoch  8, Batch    383, Loss  0.867999, Average Loss  0.869851, Time  0.238238
2021-09-16 17:44:40.046299 : Epoch  9, Batch   1467, Loss  0.898586, Average Loss  0.870287, Time  0.263840
2021-09-16 17:44:42.240887 : Epoch  8, Batch    384, Loss  0.870571, Average Loss  0.869863, Time  0.237660
2021-09-16 17:44:43.022788 : Epoch  9, Batch   1468, Loss  0.881073, Average Loss  0.870456, Time  0.265047
2021-09-16 17:44:44.816720 : Epoch  8, Batch    385, Loss  0.869059, Average Loss  0.869966, Time  0.237754
2021-09-16 17:44:45.970387 : Epoch  9, Batch   1469, Loss  0.870429, Average Loss  0.870425, Time  0.263931
2021-09-16 17:44:47.394008 : Epoch  8, Batch    386, Loss  0.858015, Average Loss  0.869993, Time  0.238103
2021-09-16 17:44:48.932896 : Epoch  9, Batch   1470, Loss  0.866722, Average Loss  0.870452, Time  0.264177
2021-09-16 17:44:49.975658 : Epoch  8, Batch    387, Loss  0.872182, Average Loss  0.869985, Time  0.238685
2021-09-16 17:44:51.900451 : Epoch  9, Batch   1471, Loss  0.840343, Average Loss  0.870230, Time  0.263855
2021-09-16 17:44:52.547911 : Epoch  8, Batch    388, Loss  0.884477, Average Loss  0.870171, Time  0.237849
2021-09-16 17:44:54.872082 : Epoch  9, Batch   1472, Loss  0.851588, Average Loss  0.870088, Time  0.264759
2021-09-16 17:44:55.118265 : Epoch  8, Batch    389, Loss  0.876375, Average Loss  0.870248, Time  0.238514
2021-09-16 17:44:57.691927 : Epoch  8, Batch    390, Loss  0.865262, Average Loss  0.870283, Time  0.237893
2021-09-16 17:44:57.875641 : Epoch  9, Batch   1473, Loss  0.860316, Average Loss  0.869998, Time  0.264820
2021-09-16 17:45:00.271916 : Epoch  8, Batch    391, Loss  0.872386, Average Loss  0.870195, Time  0.237602
2021-09-16 17:45:00.828219 : Epoch  9, Batch   1474, Loss  0.870879, Average Loss  0.869960, Time  0.264451
2021-09-16 17:45:02.841152 : Epoch  8, Batch    392, Loss  0.884259, Average Loss  0.870216, Time  0.237837
2021-09-16 17:45:03.800520 : Epoch  9, Batch   1475, Loss  0.862659, Average Loss  0.869866, Time  0.263888
2021-09-16 17:45:05.419713 : Epoch  8, Batch    393, Loss  0.860539, Average Loss  0.870116, Time  0.237959
2021-09-16 17:45:06.772131 : Epoch  9, Batch   1476, Loss  0.865297, Average Loss  0.869993, Time  0.274180
2021-09-16 17:45:07.985723 : Epoch  8, Batch    394, Loss  0.863233, Average Loss  0.870020, Time  0.238272
2021-09-16 17:45:09.734797 : Epoch  9, Batch   1477, Loss  0.873014, Average Loss  0.869944, Time  0.264151
2021-09-16 17:45:10.558742 : Epoch  8, Batch    395, Loss  0.880512, Average Loss  0.870127, Time  0.237596
2021-09-16 17:45:12.694505 : Epoch  9, Batch   1478, Loss  0.843468, Average Loss  0.869849, Time  0.263762
2021-09-16 17:45:13.130158 : Epoch  8, Batch    396, Loss  0.846764, Average Loss  0.869985, Time  0.237459
2021-09-16 17:45:15.661323 : Epoch  9, Batch   1479, Loss  0.870041, Average Loss  0.869780, Time  0.264282
2021-09-16 17:45:15.689064 : Epoch  8, Batch    397, Loss  0.858693, Average Loss  0.869914, Time  0.238045
2021-09-16 17:45:18.260905 : Epoch  8, Batch    398, Loss  0.885360, Average Loss  0.869952, Time  0.238097
2021-09-16 17:45:18.648959 : Epoch  9, Batch   1480, Loss  0.883161, Average Loss  0.869924, Time  0.265151
2021-09-16 17:45:20.832819 : Epoch  8, Batch    399, Loss  0.882502, Average Loss  0.869980, Time  0.237656
2021-09-16 17:45:21.626003 : Epoch  9, Batch   1481, Loss  0.884779, Average Loss  0.870068, Time  0.264016
2021-09-16 17:45:23.402953 : Epoch  8, Batch    400, Loss  0.851992, Average Loss  0.869931, Time  0.237727
2021-09-16 17:45:24.607806 : Epoch  9, Batch   1482, Loss  0.881918, Average Loss  0.870087, Time  0.265079
2021-09-16 17:45:25.976133 : Epoch  8, Batch    401, Loss  0.854236, Average Loss  0.869776, Time  0.237848
2021-09-16 17:45:27.608309 : Epoch  9, Batch   1483, Loss  0.875233, Average Loss  0.870066, Time  0.266427
2021-09-16 17:45:28.557056 : Epoch  8, Batch    402, Loss  0.873498, Average Loss  0.869658, Time  0.238499
2021-09-16 17:45:30.586993 : Epoch  9, Batch   1484, Loss  0.873925, Average Loss  0.870078, Time  0.264430
2021-09-16 17:45:31.124934 : Epoch  8, Batch    403, Loss  0.870013, Average Loss  0.869669, Time  0.237808
2021-09-16 17:45:33.553413 : Epoch  9, Batch   1485, Loss  0.862891, Average Loss  0.870073, Time  0.264317
2021-09-16 17:45:33.684722 : Epoch  8, Batch    404, Loss  0.863127, Average Loss  0.869659, Time  0.237639
2021-09-16 17:45:36.254968 : Epoch  8, Batch    405, Loss  0.844922, Average Loss  0.869467, Time  0.238093
2021-09-16 17:45:36.517035 : Epoch  9, Batch   1486, Loss  0.863360, Average Loss  0.870059, Time  0.264091
2021-09-16 17:45:38.830935 : Epoch  8, Batch    406, Loss  0.867423, Average Loss  0.869488, Time  0.237645
2021-09-16 17:45:39.467981 : Epoch  9, Batch   1487, Loss  0.861122, Average Loss  0.870010, Time  0.263721
2021-09-16 17:45:41.404953 : Epoch  8, Batch    407, Loss  0.855763, Average Loss  0.869403, Time  0.237727
2021-09-16 17:45:42.433021 : Epoch  9, Batch   1488, Loss  0.862340, Average Loss  0.869990, Time  0.264641
2021-09-16 17:45:43.966012 : Epoch  8, Batch    408, Loss  0.850031, Average Loss  0.869214, Time  0.237648
2021-09-16 17:45:45.413532 : Epoch  9, Batch   1489, Loss  0.855530, Average Loss  0.869886, Time  0.265438
2021-09-16 17:45:48.386310 : Epoch  9, Batch   1490, Loss  0.873710, Average Loss  0.869933, Time  0.264382
2021-09-16 17:45:51.341073 : Epoch  9, Batch   1491, Loss  0.864209, Average Loss  0.870023, Time  0.264057
2021-09-16 17:45:54.315264 : Epoch  9, Batch   1492, Loss  0.867543, Average Loss  0.870062, Time  0.276249
2021-09-16 17:45:57.300506 : Epoch  9, Batch   1493, Loss  0.859865, Average Loss  0.869960, Time  0.264977
2021-09-16 17:46:00.290210 : Epoch  9, Batch   1494, Loss  0.860208, Average Loss  0.869919, Time  0.264375
2021-09-16 17:46:03.252314 : Epoch  9, Batch   1495, Loss  0.834178, Average Loss  0.869682, Time  0.264848
2021-09-16 17:46:06.209345 : Epoch  9, Batch   1496, Loss  0.858512, Average Loss  0.869701, Time  0.263841
2021-09-16 17:46:09.169568 : Epoch  9, Batch   1497, Loss  0.876382, Average Loss  0.869642, Time  0.264637
2021-09-16 17:46:12.138817 : Epoch  9, Batch   1498, Loss  0.870434, Average Loss  0.869632, Time  0.265065
2021-09-16 17:46:15.143328 : Epoch  9, Batch   1499, Loss  0.869698, Average Loss  0.869693, Time  0.265127
2021-09-16 17:46:18.113239 : Epoch  9, Batch   1500, Loss  0.865046, Average Loss  0.869750, Time  0.264668
2021-09-16 17:46:21.108024 : Epoch  9, Batch   1501, Loss  0.886518, Average Loss  0.869908, Time  0.264757
2021-09-16 17:46:24.106080 : Epoch  9, Batch   1502, Loss  0.877225, Average Loss  0.869971, Time  0.266174
2021-09-16 17:46:27.084840 : Epoch  9, Batch   1503, Loss  0.852834, Average Loss  0.869872, Time  0.264771
2021-09-16 17:46:30.083887 : Epoch  9, Batch   1504, Loss  0.887776, Average Loss  0.869952, Time  0.263879
2021-09-16 17:46:33.035477 : Epoch  9, Batch   1505, Loss  0.865570, Average Loss  0.870016, Time  0.263593
2021-09-16 17:46:36.003155 : Epoch  9, Batch   1506, Loss  0.846735, Average Loss  0.869840, Time  0.264067
2021-09-16 17:46:38.991988 : Epoch  9, Batch   1507, Loss  0.852228, Average Loss  0.869800, Time  0.276849
2021-09-16 17:46:41.993180 : Epoch  9, Batch   1508, Loss  0.869120, Average Loss  0.869761, Time  0.264266
2021-09-16 17:46:44.947788 : Epoch  9, Batch   1509, Loss  0.859848, Average Loss  0.869657, Time  0.263836
2021-09-16 17:46:47.901574 : Epoch  9, Batch   1510, Loss  0.842123, Average Loss  0.869548, Time  0.263992
2021-09-16 17:46:50.867113 : Epoch  9, Batch   1511, Loss  0.849819, Average Loss  0.869491, Time  0.264554
2021-09-16 17:46:53.842066 : Epoch  9, Batch   1512, Loss  0.879701, Average Loss  0.869476, Time  0.264292
2021-09-16 17:46:56.835487 : Epoch  9, Batch   1513, Loss  0.851350, Average Loss  0.869402, Time  0.264604
2021-09-16 17:46:59.808401 : Epoch  9, Batch   1514, Loss  0.872404, Average Loss  0.869446, Time  0.265182
2021-09-16 17:47:02.775197 : Epoch  9, Batch   1515, Loss  0.861699, Average Loss  0.869441, Time  0.264074
2021-09-16 17:47:05.758274 : Epoch  9, Batch   1516, Loss  0.894025, Average Loss  0.869730, Time  0.265414
2021-09-16 17:47:08.728244 : Epoch  9, Batch   1517, Loss  0.872255, Average Loss  0.869643, Time  0.264714
2021-09-16 17:47:11.711618 : Epoch  9, Batch   1518, Loss  0.867309, Average Loss  0.869581, Time  0.264026
2021-09-16 17:47:14.672501 : Epoch  9, Batch   1519, Loss  0.888496, Average Loss  0.869610, Time  0.264258
2021-09-16 17:47:17.636435 : Epoch  9, Batch   1520, Loss  0.871487, Average Loss  0.869574, Time  0.264402
2021-09-16 17:47:20.607499 : Epoch  9, Batch   1521, Loss  0.852785, Average Loss  0.869534, Time  0.263883
2021-09-16 17:47:23.566362 : Epoch  9, Batch   1522, Loss  0.886804, Average Loss  0.869557, Time  0.264308
2021-09-16 17:47:26.557022 : Epoch  9, Batch   1523, Loss  0.864422, Average Loss  0.869576, Time  0.278432
2021-09-16 17:47:29.559461 : Epoch  9, Batch   1524, Loss  0.875945, Average Loss  0.869565, Time  0.265388
2021-09-16 17:47:32.561104 : Epoch  9, Batch   1525, Loss  0.868056, Average Loss  0.869520, Time  0.264276
2021-09-16 17:47:35.536017 : Epoch  9, Batch   1526, Loss  0.873591, Average Loss  0.869638, Time  0.265087
2021-09-16 17:47:38.521921 : Epoch  9, Batch   1527, Loss  0.871487, Average Loss  0.869687, Time  0.264772
2021-09-16 17:47:41.492719 : Epoch  9, Batch   1528, Loss  0.859077, Average Loss  0.869555, Time  0.263729
2021-09-16 17:47:44.459920 : Epoch  9, Batch   1529, Loss  0.875130, Average Loss  0.869653, Time  0.264649
2021-09-16 17:47:47.444678 : Epoch  9, Batch   1530, Loss  0.860427, Average Loss  0.869587, Time  0.264677
2021-09-16 17:47:50.458758 : Epoch  9, Batch   1531, Loss  0.890097, Average Loss  0.869689, Time  0.265889
2021-09-16 17:47:53.458563 : Epoch  9, Batch   1532, Loss  0.864239, Average Loss  0.869678, Time  0.265097
2021-09-16 17:47:56.462818 : Epoch  9, Batch   1533, Loss  0.890491, Average Loss  0.869847, Time  0.264832
2021-09-16 17:47:59.469787 : Epoch  9, Batch   1534, Loss  0.860516, Average Loss  0.869777, Time  0.264958
2021-09-16 17:48:02.433799 : Epoch  9, Batch   1535, Loss  0.858559, Average Loss  0.869683, Time  0.264531
2021-09-16 17:48:05.393652 : Epoch  9, Batch   1536, Loss  0.854303, Average Loss  0.869693, Time  0.264245
2021-09-16 17:48:08.360834 : Epoch  9, Batch   1537, Loss  0.858563, Average Loss  0.869587, Time  0.264706
2021-09-16 17:48:11.352634 : Epoch  9, Batch   1538, Loss  0.868862, Average Loss  0.869478, Time  0.277829
2021-09-16 17:48:14.342554 : Epoch  9, Batch   1539, Loss  0.871659, Average Loss  0.869423, Time  0.264377
2021-09-16 17:48:17.349010 : Epoch  9, Batch   1540, Loss  0.865371, Average Loss  0.869495, Time  0.264049
2021-09-16 17:48:20.324523 : Epoch  9, Batch   1541, Loss  0.859706, Average Loss  0.869386, Time  0.264593
2021-09-16 17:48:23.300135 : Epoch  9, Batch   1542, Loss  0.857578, Average Loss  0.869295, Time  0.264017
2021-09-16 17:48:26.265368 : Epoch  9, Batch   1543, Loss  0.861144, Average Loss  0.869176, Time  0.264496
2021-09-16 17:48:29.236140 : Epoch  9, Batch   1544, Loss  0.902162, Average Loss  0.869246, Time  0.264693
2021-09-16 17:48:32.257793 : Epoch  9, Batch   1545, Loss  0.890049, Average Loss  0.869353, Time  0.266056
2021-09-16 17:48:35.264179 : Epoch  9, Batch   1546, Loss  0.860590, Average Loss  0.869311, Time  0.264630
2021-09-16 17:48:38.266138 : Epoch  9, Batch   1547, Loss  0.876380, Average Loss  0.869401, Time  0.263834
2021-09-16 17:48:41.223748 : Epoch  9, Batch   1548, Loss  0.894129, Average Loss  0.869375, Time  0.264612
2021-09-16 17:48:44.213148 : Epoch  9, Batch   1549, Loss  0.834567, Average Loss  0.869275, Time  0.264023
2021-09-16 17:48:47.184746 : Epoch  9, Batch   1550, Loss  0.868608, Average Loss  0.869278, Time  0.264600
2021-09-16 17:48:50.169490 : Epoch  9, Batch   1551, Loss  0.870847, Average Loss  0.869237, Time  0.264973
2021-09-16 17:48:53.174952 : Epoch  9, Batch   1552, Loss  0.860381, Average Loss  0.869107, Time  0.265451
2021-09-16 17:49:42.817702 : CheckPoint: Validation Loss  0.00030695, Best Loss  0.00029207
2021-09-16 17:49:45.380110 : Epoch  8, Batch    409, Loss  0.871084, Average Loss  0.869317, Time  0.238837
2021-09-16 17:49:47.955900 : Epoch  8, Batch    410, Loss  0.867105, Average Loss  0.869329, Time  0.237310
2021-09-16 17:49:50.525953 : Epoch  8, Batch    411, Loss  0.871562, Average Loss  0.869369, Time  0.237758
2021-09-16 17:49:53.091731 : Epoch  8, Batch    412, Loss  0.859230, Average Loss  0.869282, Time  0.237821
2021-09-16 17:49:55.655903 : Epoch  8, Batch    413, Loss  0.842284, Average Loss  0.869132, Time  0.237735
2021-09-16 17:49:58.225063 : Epoch  8, Batch    414, Loss  0.868009, Average Loss  0.869053, Time  0.237654
2021-09-16 17:50:00.782995 : Epoch  8, Batch    415, Loss  0.894423, Average Loss  0.869154, Time  0.237779
2021-09-16 17:50:03.338668 : Epoch  8, Batch    416, Loss  0.863167, Average Loss  0.869186, Time  0.237962
2021-09-16 17:50:05.910755 : Epoch  8, Batch    417, Loss  0.883055, Average Loss  0.869398, Time  0.237815
2021-09-16 17:50:08.467472 : Epoch  8, Batch    418, Loss  0.882727, Average Loss  0.869430, Time  0.237711
2021-09-16 17:50:11.021905 : Epoch  8, Batch    419, Loss  0.879055, Average Loss  0.869452, Time  0.237901
2021-09-16 17:50:13.582001 : Epoch  8, Batch    420, Loss  0.883032, Average Loss  0.869466, Time  0.238304
2021-09-16 17:50:16.134184 : Epoch  8, Batch    421, Loss  0.864078, Average Loss  0.869520, Time  0.237620
2021-09-16 17:50:18.693291 : Epoch  8, Batch    422, Loss  0.870984, Average Loss  0.869440, Time  0.237837
2021-09-16 17:50:21.252517 : Epoch  8, Batch    423, Loss  0.855238, Average Loss  0.869255, Time  0.237698
2021-09-16 17:50:23.813922 : Epoch  8, Batch    424, Loss  0.866780, Average Loss  0.869231, Time  0.237631
2021-09-16 17:50:26.377924 : Epoch  8, Batch    425, Loss  0.873503, Average Loss  0.869242, Time  0.238834
2021-09-16 17:50:28.937143 : Epoch  8, Batch    426, Loss  0.890176, Average Loss  0.869338, Time  0.237940
2021-09-16 17:50:31.497049 : Epoch  8, Batch    427, Loss  0.868035, Average Loss  0.869321, Time  0.238836
2021-09-16 17:50:34.059739 : Epoch  8, Batch    428, Loss  0.862802, Average Loss  0.869212, Time  0.237700
2021-09-16 17:50:36.615974 : Epoch  8, Batch    429, Loss  0.862548, Average Loss  0.869186, Time  0.237646
2021-09-16 17:50:39.183104 : Epoch  8, Batch    430, Loss  0.862441, Average Loss  0.869137, Time  0.237779
2021-09-16 17:50:41.740071 : Epoch  8, Batch    431, Loss  0.862461, Average Loss  0.869147, Time  0.237719
2021-09-16 17:50:44.329919 : Epoch  8, Batch    432, Loss  0.892827, Average Loss  0.869247, Time  0.237568
2021-09-16 17:50:46.889251 : Epoch  8, Batch    433, Loss  0.886079, Average Loss  0.869262, Time  0.238018
2021-09-16 17:50:49.441995 : Epoch  8, Batch    434, Loss  0.869444, Average Loss  0.869233, Time  0.237535
2021-09-16 17:50:52.012816 : Epoch  8, Batch    435, Loss  0.890301, Average Loss  0.869371, Time  0.237824
2021-09-16 17:50:54.579927 : Epoch  8, Batch    436, Loss  0.873586, Average Loss  0.869300, Time  0.237602
2021-09-16 17:50:57.152718 : Epoch  8, Batch    437, Loss  0.870441, Average Loss  0.869307, Time  0.237648
2021-09-16 17:50:59.708287 : Epoch  8, Batch    438, Loss  0.852311, Average Loss  0.869280, Time  0.237775
2021-09-16 17:51:02.279398 : Epoch  8, Batch    439, Loss  0.883492, Average Loss  0.869269, Time  0.238011
2021-09-16 17:51:04.849954 : Epoch  8, Batch    440, Loss  0.865019, Average Loss  0.869276, Time  0.237676
2021-09-16 17:51:07.413928 : Epoch  8, Batch    441, Loss  0.867983, Average Loss  0.869359, Time  0.238112
2021-09-16 17:51:09.973939 : Epoch  8, Batch    442, Loss  0.892396, Average Loss  0.869537, Time  0.238168
2021-09-16 17:51:12.531721 : Epoch  8, Batch    443, Loss  0.884777, Average Loss  0.869676, Time  0.237592
2021-09-16 17:51:15.089677 : Epoch  8, Batch    444, Loss  0.850395, Average Loss  0.869612, Time  0.238055
2021-09-16 17:51:17.655913 : Epoch  8, Batch    445, Loss  0.860393, Average Loss  0.869587, Time  0.237499
2021-09-16 17:51:20.218810 : Epoch  8, Batch    446, Loss  0.854575, Average Loss  0.869386, Time  0.238746
2021-09-16 17:51:22.770039 : Epoch  8, Batch    447, Loss  0.866996, Average Loss  0.869516, Time  0.238204
2021-09-16 17:51:25.332702 : Epoch  8, Batch    448, Loss  0.868744, Average Loss  0.869489, Time  0.237841
2021-09-16 17:51:27.900758 : Epoch  8, Batch    449, Loss  0.863149, Average Loss  0.869313, Time  0.238878
2021-09-16 17:51:30.457989 : Epoch  8, Batch    450, Loss  0.844619, Average Loss  0.869129, Time  0.237440
2021-09-16 17:51:33.022020 : Epoch  8, Batch    451, Loss  0.860597, Average Loss  0.869141, Time  0.238370
2021-09-16 17:51:35.573970 : Epoch  8, Batch    452, Loss  0.853034, Average Loss  0.869120, Time  0.238127
2021-09-16 17:51:38.133165 : Epoch  8, Batch    453, Loss  0.844872, Average Loss  0.868959, Time  0.237283
2021-09-16 17:51:40.682207 : Epoch  8, Batch    454, Loss  0.882400, Average Loss  0.869023, Time  0.237526
2021-09-16 17:51:43.233720 : Epoch  8, Batch    455, Loss  0.860949, Average Loss  0.868904, Time  0.237930
2021-09-16 17:51:45.798953 : Epoch  8, Batch    456, Loss  0.902938, Average Loss  0.869139, Time  0.237553
2021-09-16 17:51:48.354008 : Epoch  8, Batch    457, Loss  0.878690, Average Loss  0.869166, Time  0.237634
2021-09-16 17:51:50.913033 : Epoch  8, Batch    458, Loss  0.866083, Average Loss  0.869194, Time  0.237532
2021-09-16 17:51:53.471021 : Epoch  8, Batch    459, Loss  0.882332, Average Loss  0.869308, Time  0.237616
2021-09-16 17:51:56.029950 : Epoch  8, Batch    460, Loss  0.866471, Average Loss  0.869289, Time  0.237849
2021-09-16 17:51:58.597661 : Epoch  8, Batch    461, Loss  0.853059, Average Loss  0.869194, Time  0.237772
2021-09-16 17:52:01.157331 : Epoch  8, Batch    462, Loss  0.862172, Average Loss  0.869116, Time  0.238156
2021-09-16 17:52:03.719033 : Epoch  8, Batch    463, Loss  0.884173, Average Loss  0.869197, Time  0.237718
2021-09-16 17:52:06.276691 : Epoch  8, Batch    464, Loss  0.886999, Average Loss  0.869233, Time  0.237698
2021-09-16 17:52:08.836050 : Epoch  8, Batch    465, Loss  0.849634, Average Loss  0.869164, Time  0.238000
2021-09-16 17:52:11.406162 : Epoch  8, Batch    466, Loss  0.884371, Average Loss  0.869307, Time  0.237694
2021-09-16 17:52:13.956293 : Epoch  8, Batch    467, Loss  0.879644, Average Loss  0.869360, Time  0.237931
2021-09-16 17:52:16.517057 : Epoch  8, Batch    468, Loss  0.861342, Average Loss  0.869308, Time  0.237617
2021-09-16 17:52:19.079913 : Epoch  8, Batch    469, Loss  0.866294, Average Loss  0.869299, Time  0.237756
2021-09-16 17:52:21.642747 : Epoch  8, Batch    470, Loss  0.887840, Average Loss  0.869333, Time  0.238141
2021-09-16 17:52:24.207959 : Epoch  8, Batch    471, Loss  0.882900, Average Loss  0.869477, Time  0.237604
2021-09-16 17:52:26.769960 : Epoch  8, Batch    472, Loss  0.890267, Average Loss  0.869583, Time  0.238636
2021-09-16 17:52:29.325291 : Epoch  8, Batch    473, Loss  0.893811, Average Loss  0.869705, Time  0.237896
2021-09-16 17:52:31.897063 : Epoch  8, Batch    474, Loss  0.835842, Average Loss  0.869568, Time  0.238630
2021-09-16 17:52:34.459997 : Epoch  8, Batch    475, Loss  0.851489, Average Loss  0.869399, Time  0.238344
2021-09-16 17:52:37.028122 : Epoch  8, Batch    476, Loss  0.868838, Average Loss  0.869464, Time  0.238126
2021-09-16 17:52:39.588452 : Epoch  8, Batch    477, Loss  0.850462, Average Loss  0.869375, Time  0.239635
2021-09-16 17:52:42.198730 : Epoch  8, Batch    478, Loss  0.878900, Average Loss  0.869464, Time  0.237558
2021-09-16 17:52:44.754185 : Epoch  8, Batch    479, Loss  0.864087, Average Loss  0.869467, Time  0.237813
2021-09-16 17:52:47.310085 : Epoch  8, Batch    480, Loss  0.874695, Average Loss  0.869557, Time  0.237901
2021-09-16 17:52:49.868790 : Epoch  8, Batch    481, Loss  0.865767, Average Loss  0.869482, Time  0.237819
2021-09-16 17:52:52.423137 : Epoch  8, Batch    482, Loss  0.863287, Average Loss  0.869463, Time  0.238192
2021-09-16 17:52:54.983906 : Epoch  8, Batch    483, Loss  0.876896, Average Loss  0.869481, Time  0.237746
2021-09-16 17:52:57.544165 : Epoch  8, Batch    484, Loss  0.863351, Average Loss  0.869395, Time  0.237543
2021-09-16 17:53:00.104358 : Epoch  8, Batch    485, Loss  0.863150, Average Loss  0.869361, Time  0.237354
2021-09-16 17:53:02.664898 : Epoch  8, Batch    486, Loss  0.891258, Average Loss  0.869487, Time  0.237437
2021-09-16 17:53:05.236730 : Epoch  8, Batch    487, Loss  0.850689, Average Loss  0.869340, Time  0.238150
2021-09-16 17:53:07.790882 : Epoch  8, Batch    488, Loss  0.891223, Average Loss  0.869350, Time  0.237524
2021-09-16 17:53:10.351226 : Epoch  8, Batch    489, Loss  0.862851, Average Loss  0.869318, Time  0.237826
2021-09-16 17:53:12.918855 : Epoch  8, Batch    490, Loss  0.874738, Average Loss  0.869311, Time  0.238355
2021-09-16 17:53:15.477754 : Epoch  8, Batch    491, Loss  0.852135, Average Loss  0.869300, Time  0.238003
2021-09-16 17:53:18.035853 : Epoch  8, Batch    492, Loss  0.871258, Average Loss  0.869279, Time  0.237481
2021-09-16 17:53:20.601684 : Epoch  8, Batch    493, Loss  0.869569, Average Loss  0.869276, Time  0.237796
2021-09-16 17:53:23.301957 : Epoch  8, Batch    494, Loss  0.853802, Average Loss  0.869112, Time  0.237624
2021-09-16 17:53:25.881042 : Epoch  8, Batch    495, Loss  0.852424, Average Loss  0.869066, Time  0.237711
2021-09-16 17:53:28.449071 : CheckPoint: Validation Loss  0.00030734, Best Loss  0.00029014
2021-09-16 17:53:28.465696 : Epoch  8, Batch    496, Loss  0.869180, Average Loss  0.869088, Time  0.239350
2021-09-16 17:53:31.033917 : Epoch  8, Batch    497, Loss  0.856030, Average Loss  0.869008, Time  0.237591
2021-09-16 17:53:31.431768 : Epoch  9, Batch   1553, Loss  0.866250, Average Loss  0.869147, Time  0.264591
2021-09-16 17:53:33.600003 : Epoch  8, Batch    498, Loss  0.872503, Average Loss  0.869052, Time  0.238389
2021-09-16 17:53:34.420630 : Epoch  9, Batch   1554, Loss  0.859685, Average Loss  0.869110, Time  0.265778
2021-09-16 17:53:36.161211 : Epoch  8, Batch    499, Loss  0.858402, Average Loss  0.869015, Time  0.237512
2021-09-16 17:53:37.395244 : Epoch  9, Batch   1555, Loss  0.858073, Average Loss  0.869052, Time  0.275302
2021-09-16 17:53:38.719050 : Epoch  8, Batch    500, Loss  0.870258, Average Loss  0.869094, Time  0.237702
2021-09-16 17:53:40.398978 : Epoch  9, Batch   1556, Loss  0.876287, Average Loss  0.869073, Time  0.265489
2021-09-16 17:53:41.277745 : Epoch  8, Batch    501, Loss  0.878950, Average Loss  0.869112, Time  0.237714
2021-09-16 17:53:43.417498 : Epoch  9, Batch   1557, Loss  0.860757, Average Loss  0.869029, Time  0.264606
2021-09-16 17:53:43.843932 : Epoch  8, Batch    502, Loss  0.881906, Average Loss  0.869159, Time  0.237942
2021-09-16 17:53:46.381690 : Epoch  9, Batch   1558, Loss  0.860409, Average Loss  0.868992, Time  0.264106
2021-09-16 17:53:46.390022 : Epoch  8, Batch    503, Loss  0.881760, Average Loss  0.869204, Time  0.237861
2021-09-16 17:53:48.962671 : Epoch  8, Batch    504, Loss  0.880480, Average Loss  0.869288, Time  0.237541
2021-09-16 17:53:49.357134 : Epoch  9, Batch   1559, Loss  0.862447, Average Loss  0.868906, Time  0.265265
2021-09-16 17:53:51.521900 : Epoch  8, Batch    505, Loss  0.879662, Average Loss  0.869326, Time  0.237678
2021-09-16 17:53:52.351180 : Epoch  9, Batch   1560, Loss  0.889571, Average Loss  0.868909, Time  0.264315
2021-09-16 17:53:54.079916 : Epoch  8, Batch    506, Loss  0.872874, Average Loss  0.869266, Time  0.238080
2021-09-16 17:53:55.312375 : Epoch  9, Batch   1561, Loss  0.845812, Average Loss  0.868858, Time  0.264353
2021-09-16 17:53:56.639990 : Epoch  8, Batch    507, Loss  0.890998, Average Loss  0.869355, Time  0.237430
2021-09-16 17:53:58.302258 : Epoch  9, Batch   1562, Loss  0.878391, Average Loss  0.868959, Time  0.265398
2021-09-16 17:53:59.200681 : Epoch  8, Batch    508, Loss  0.862216, Average Loss  0.869348, Time  0.237520
2021-09-16 17:54:01.298263 : Epoch  9, Batch   1563, Loss  0.866374, Average Loss  0.868944, Time  0.264761
2021-09-16 17:54:04.261738 : Epoch  9, Batch   1564, Loss  0.870751, Average Loss  0.868900, Time  0.265190
2021-09-16 17:54:07.225475 : Epoch  9, Batch   1565, Loss  0.851489, Average Loss  0.868785, Time  0.264796
2021-09-16 17:54:10.212706 : Epoch  9, Batch   1566, Loss  0.869794, Average Loss  0.868774, Time  0.264750
2021-09-16 17:54:13.181796 : Epoch  9, Batch   1567, Loss  0.836190, Average Loss  0.868661, Time  0.264291
2021-09-16 17:54:16.156070 : Epoch  9, Batch   1568, Loss  0.849545, Average Loss  0.868509, Time  0.263805
2021-09-16 17:54:19.140029 : Epoch  9, Batch   1569, Loss  0.854878, Average Loss  0.868510, Time  0.265587
2021-09-16 17:54:22.112304 : Epoch  9, Batch   1570, Loss  0.867589, Average Loss  0.868459, Time  0.274259
2021-09-16 17:54:25.085882 : Epoch  9, Batch   1571, Loss  0.869100, Average Loss  0.868460, Time  0.264064
2021-09-16 17:54:28.040140 : Epoch  9, Batch   1572, Loss  0.892830, Average Loss  0.868581, Time  0.264828
2021-09-16 17:54:31.006782 : Epoch  9, Batch   1573, Loss  0.865936, Average Loss  0.868621, Time  0.264350
2021-09-16 17:54:33.962667 : Epoch  9, Batch   1574, Loss  0.859371, Average Loss  0.868714, Time  0.265518
2021-09-16 17:54:36.924729 : Epoch  9, Batch   1575, Loss  0.883897, Average Loss  0.868708, Time  0.264073
2021-09-16 17:54:39.884847 : Epoch  9, Batch   1576, Loss  0.857765, Average Loss  0.868672, Time  0.264204
2021-09-16 17:54:42.867983 : Epoch  9, Batch   1577, Loss  0.857972, Average Loss  0.868643, Time  0.265520
2021-09-16 17:54:45.857503 : Epoch  9, Batch   1578, Loss  0.854516, Average Loss  0.868510, Time  0.266526
2021-09-16 17:54:48.840354 : Epoch  9, Batch   1579, Loss  0.874776, Average Loss  0.868547, Time  0.264756
2021-09-16 17:54:51.810111 : Epoch  9, Batch   1580, Loss  0.839761, Average Loss  0.868417, Time  0.264980
2021-09-16 17:54:54.815710 : Epoch  9, Batch   1581, Loss  0.863248, Average Loss  0.868445, Time  0.264698
2021-09-16 17:54:57.795857 : Epoch  9, Batch   1582, Loss  0.859653, Average Loss  0.868447, Time  0.265584
2021-09-16 17:55:00.807376 : Epoch  9, Batch   1583, Loss  0.874129, Average Loss  0.868475, Time  0.265732
2021-09-16 17:55:03.784863 : Epoch  9, Batch   1584, Loss  0.866161, Average Loss  0.868476, Time  0.264768
2021-09-16 17:55:06.849954 : Epoch  9, Batch   1585, Loss  0.861202, Average Loss  0.868423, Time  0.265294
2021-09-16 17:55:09.903853 : Epoch  9, Batch   1586, Loss  0.873899, Average Loss  0.868479, Time  0.276098
2021-09-16 17:55:12.867323 : Epoch  9, Batch   1587, Loss  0.852209, Average Loss  0.868396, Time  0.263985
2021-09-16 17:55:15.861577 : Epoch  9, Batch   1588, Loss  0.863096, Average Loss  0.868322, Time  0.264733
2021-09-16 17:55:18.857447 : Epoch  9, Batch   1589, Loss  0.899345, Average Loss  0.868434, Time  0.263899
2021-09-16 17:55:21.833969 : Epoch  9, Batch   1590, Loss  0.890327, Average Loss  0.868561, Time  0.265259
2021-09-16 17:55:24.802758 : Epoch  9, Batch   1591, Loss  0.860724, Average Loss  0.868425, Time  0.264060
2021-09-16 17:55:27.790798 : Epoch  9, Batch   1592, Loss  0.856065, Average Loss  0.868381, Time  0.264863
2021-09-16 17:55:30.758909 : Epoch  9, Batch   1593, Loss  0.880072, Average Loss  0.868367, Time  0.264427
2021-09-16 17:55:33.734051 : Epoch  9, Batch   1594, Loss  0.891492, Average Loss  0.868444, Time  0.265578
2021-09-16 17:55:36.741705 : Epoch  9, Batch   1595, Loss  0.872709, Average Loss  0.868311, Time  0.264422
2021-09-16 17:55:39.696931 : Epoch  9, Batch   1596, Loss  0.872958, Average Loss  0.868390, Time  0.264455
2021-09-16 17:55:42.702099 : Epoch  9, Batch   1597, Loss  0.875872, Average Loss  0.868428, Time  0.264979
2021-09-16 17:55:45.697481 : Epoch  9, Batch   1598, Loss  0.875343, Average Loss  0.868435, Time  0.265642
2021-09-16 17:55:48.667747 : Epoch  9, Batch   1599, Loss  0.870305, Average Loss  0.868377, Time  0.264539
2021-09-16 17:55:51.670803 : Epoch  9, Batch   1600, Loss  0.856969, Average Loss  0.868279, Time  0.265599
2021-09-16 17:55:54.630491 : Epoch  9, Batch   1601, Loss  0.866908, Average Loss  0.868222, Time  0.264662
2021-09-16 17:55:57.626658 : Epoch  9, Batch   1602, Loss  0.848015, Average Loss  0.868200, Time  0.277452
2021-09-16 17:56:00.595289 : Epoch  9, Batch   1603, Loss  0.874218, Average Loss  0.868139, Time  0.265225
2021-09-16 17:56:03.571640 : Epoch  9, Batch   1604, Loss  0.889559, Average Loss  0.868332, Time  0.264846
2021-09-16 17:56:06.539071 : Epoch  9, Batch   1605, Loss  0.839019, Average Loss  0.868071, Time  0.263943
2021-09-16 17:56:09.514231 : Epoch  9, Batch   1606, Loss  0.878478, Average Loss  0.868060, Time  0.264088
2021-09-16 17:56:12.496730 : Epoch  9, Batch   1607, Loss  0.870676, Average Loss  0.868080, Time  0.264376
2021-09-16 17:56:15.481820 : Epoch  9, Batch   1608, Loss  0.859592, Average Loss  0.868103, Time  0.265187
2021-09-16 17:56:18.458615 : Epoch  9, Batch   1609, Loss  0.882368, Average Loss  0.868191, Time  0.264405
2021-09-16 17:56:21.430681 : Epoch  9, Batch   1610, Loss  0.842085, Average Loss  0.868130, Time  0.264106
2021-09-16 17:56:24.389191 : Epoch  9, Batch   1611, Loss  0.869174, Average Loss  0.868175, Time  0.265136
2021-09-16 17:56:27.364022 : Epoch  9, Batch   1612, Loss  0.851570, Average Loss  0.868043, Time  0.265364
2021-09-16 17:56:30.333484 : Epoch  9, Batch   1613, Loss  0.880116, Average Loss  0.868122, Time  0.264315
2021-09-16 17:56:33.325933 : Epoch  9, Batch   1614, Loss  0.885009, Average Loss  0.868172, Time  0.264584
2021-09-16 17:56:36.292784 : Epoch  9, Batch   1615, Loss  0.863380, Average Loss  0.868170, Time  0.263911
2021-09-16 17:56:39.274108 : Epoch  9, Batch   1616, Loss  0.881072, Average Loss  0.868253, Time  0.265460
2021-09-16 17:56:42.292793 : Epoch  9, Batch   1617, Loss  0.852950, Average Loss  0.868019, Time  0.277161
2021-09-16 17:56:45.281708 : Epoch  9, Batch   1618, Loss  0.855262, Average Loss  0.868016, Time  0.264871
2021-09-16 17:56:48.268943 : Epoch  9, Batch   1619, Loss  0.891780, Average Loss  0.868199, Time  0.264925
2021-09-16 17:56:51.263414 : Epoch  9, Batch   1620, Loss  0.873078, Average Loss  0.868227, Time  0.264911
2021-09-16 17:56:54.257549 : Epoch  9, Batch   1621, Loss  0.881939, Average Loss  0.868278, Time  0.265591
2021-09-16 17:56:57.236703 : Epoch  9, Batch   1622, Loss  0.857891, Average Loss  0.868203, Time  0.264216
2021-09-16 17:57:00.209717 : Epoch  9, Batch   1623, Loss  0.875782, Average Loss  0.868334, Time  0.264026
2021-09-16 17:57:03.236235 : Epoch  9, Batch   1624, Loss  0.866818, Average Loss  0.868232, Time  0.265867
2021-09-16 17:57:06.290491 : Epoch  9, Batch   1625, Loss  0.864049, Average Loss  0.868283, Time  0.264120
2021-09-16 17:57:09.245394 : Epoch  9, Batch   1626, Loss  0.866198, Average Loss  0.868268, Time  0.263906
2021-09-16 17:57:12.221355 : Epoch  9, Batch   1627, Loss  0.857399, Average Loss  0.868138, Time  0.264664
2021-09-16 17:57:15.202773 : Epoch  9, Batch   1628, Loss  0.858782, Average Loss  0.868035, Time  0.264087
2021-09-16 17:57:18.206304 : Epoch  9, Batch   1629, Loss  0.857620, Average Loss  0.867981, Time  0.264126
2021-09-16 17:57:21.172715 : Epoch  9, Batch   1630, Loss  0.880210, Average Loss  0.868024, Time  0.264224
2021-09-16 17:57:24.140220 : Epoch  9, Batch   1631, Loss  0.867944, Average Loss  0.867926, Time  0.264965
2021-09-16 17:57:27.117849 : Epoch  9, Batch   1632, Loss  0.862615, Average Loss  0.867936, Time  0.272894
2021-09-16 17:57:30.131524 : Epoch  9, Batch   1633, Loss  0.856214, Average Loss  0.867761, Time  0.265132
2021-09-16 17:57:33.121591 : Epoch  9, Batch   1634, Loss  0.868232, Average Loss  0.867845, Time  0.264184
2021-09-16 17:57:36.095442 : Epoch  9, Batch   1635, Loss  0.863191, Average Loss  0.867945, Time  0.264035
2021-09-16 17:57:39.060861 : Epoch  9, Batch   1636, Loss  0.869354, Average Loss  0.867871, Time  0.264024
2021-09-16 17:57:42.050281 : Epoch  9, Batch   1637, Loss  0.861584, Average Loss  0.867848, Time  0.265449
2021-09-16 17:57:45.024753 : Epoch  9, Batch   1638, Loss  0.854278, Average Loss  0.867792, Time  0.264539
2021-09-16 17:57:48.034303 : Epoch  9, Batch   1639, Loss  0.866425, Average Loss  0.867761, Time  0.263904
2021-09-16 17:57:51.029519 : Epoch  9, Batch   1640, Loss  0.878817, Average Loss  0.867807, Time  0.264816
2021-09-16 17:57:54.035676 : Epoch  9, Batch   1641, Loss  0.863014, Average Loss  0.867667, Time  0.265687
2021-09-16 17:57:57.041616 : Epoch  9, Batch   1642, Loss  0.869138, Average Loss  0.867600, Time  0.265445
2021-09-16 17:57:58.490686 : CheckPoint: Validation Loss  0.00030835, Best Loss  0.00029207
2021-09-16 17:58:00.034374 : Epoch  9, Batch   1643, Loss  0.875011, Average Loss  0.867704, Time  0.264161
2021-09-16 17:58:01.075019 : Epoch  8, Batch    509, Loss  0.880311, Average Loss  0.869324, Time  0.238407
2021-09-16 17:58:03.085841 : Epoch  9, Batch   1644, Loss  0.871836, Average Loss  0.867723, Time  0.263967
2021-09-16 17:58:03.696949 : Epoch  8, Batch    510, Loss  0.862100, Average Loss  0.869375, Time  0.238689
2021-09-16 17:58:06.052139 : Epoch  9, Batch   1645, Loss  0.869972, Average Loss  0.867775, Time  0.263656
2021-09-16 17:58:06.310163 : Epoch  8, Batch    511, Loss  0.872528, Average Loss  0.869378, Time  0.237557
2021-09-16 17:58:08.921755 : Epoch  8, Batch    512, Loss  0.871395, Average Loss  0.869348, Time  0.238308
2021-09-16 17:58:09.019621 : Epoch  9, Batch   1646, Loss  0.877652, Average Loss  0.867837, Time  0.263936
2021-09-16 17:58:11.547705 : Epoch  8, Batch    513, Loss  0.881971, Average Loss  0.869322, Time  0.238536
2021-09-16 17:58:12.010371 : Epoch  9, Batch   1647, Loss  0.866069, Average Loss  0.867879, Time  0.276148
2021-09-16 17:58:14.173001 : Epoch  8, Batch    514, Loss  0.876410, Average Loss  0.869405, Time  0.237949
2021-09-16 17:58:14.959486 : Epoch  9, Batch   1648, Loss  0.877024, Average Loss  0.867924, Time  0.264513
2021-09-16 17:58:16.788681 : Epoch  8, Batch    515, Loss  0.854958, Average Loss  0.869393, Time  0.237867
2021-09-16 17:58:17.925380 : Epoch  9, Batch   1649, Loss  0.883573, Average Loss  0.867989, Time  0.265344
2021-09-16 17:58:19.418259 : Epoch  8, Batch    516, Loss  0.858822, Average Loss  0.869229, Time  0.238004
2021-09-16 17:58:20.932867 : Epoch  9, Batch   1650, Loss  0.863898, Average Loss  0.867882, Time  0.264927
2021-09-16 17:58:22.035745 : Epoch  8, Batch    517, Loss  0.883717, Average Loss  0.869262, Time  0.237782
2021-09-16 17:58:23.907854 : Epoch  9, Batch   1651, Loss  0.865534, Average Loss  0.867854, Time  0.265506
2021-09-16 17:58:24.652972 : Epoch  8, Batch    518, Loss  0.868701, Average Loss  0.869254, Time  0.237772
2021-09-16 17:58:26.866771 : Epoch  9, Batch   1652, Loss  0.870888, Average Loss  0.867786, Time  0.263736
2021-09-16 17:58:27.265901 : Epoch  8, Batch    519, Loss  0.868788, Average Loss  0.869262, Time  0.237389
2021-09-16 17:58:29.861386 : Epoch  8, Batch    520, Loss  0.896915, Average Loss  0.869501, Time  0.237510
2021-09-16 17:58:32.474907 : Epoch  8, Batch    521, Loss  0.867722, Average Loss  0.869460, Time  0.237651
2021-09-16 17:58:35.090960 : Epoch  8, Batch    522, Loss  0.870299, Average Loss  0.869429, Time  0.237717
2021-09-16 17:58:37.705924 : Epoch  8, Batch    523, Loss  0.880268, Average Loss  0.869463, Time  0.237440
2021-09-16 17:58:40.324173 : Epoch  8, Batch    524, Loss  0.844858, Average Loss  0.869408, Time  0.238484
2021-09-16 17:58:42.939988 : Epoch  8, Batch    525, Loss  0.872338, Average Loss  0.869389, Time  0.237843
2021-09-16 17:58:45.556929 : Epoch  8, Batch    526, Loss  0.871501, Average Loss  0.869445, Time  0.237709
2021-09-16 17:58:48.168183 : Epoch  8, Batch    527, Loss  0.859867, Average Loss  0.869406, Time  0.237609
2021-09-16 17:58:50.777923 : Epoch  8, Batch    528, Loss  0.899379, Average Loss  0.869678, Time  0.237976
2021-09-16 17:58:53.385939 : Epoch  8, Batch    529, Loss  0.873200, Average Loss  0.869706, Time  0.237735
2021-09-16 17:58:56.013813 : Epoch  8, Batch    530, Loss  0.866835, Average Loss  0.869751, Time  0.237600
2021-09-16 17:58:58.627177 : Epoch  8, Batch    531, Loss  0.864202, Average Loss  0.869813, Time  0.237626
2021-09-16 17:59:01.236166 : Epoch  8, Batch    532, Loss  0.859559, Average Loss  0.869787, Time  0.237539
2021-09-16 17:59:03.861710 : Epoch  8, Batch    533, Loss  0.890357, Average Loss  0.869907, Time  0.238825
2021-09-16 17:59:06.479984 : Epoch  8, Batch    534, Loss  0.863530, Average Loss  0.869829, Time  0.238740
2021-09-16 17:59:09.094964 : Epoch  8, Batch    535, Loss  0.868178, Average Loss  0.869909, Time  0.238039
2021-09-16 17:59:11.709112 : Epoch  8, Batch    536, Loss  0.893578, Average Loss  0.869989, Time  0.238777
2021-09-16 17:59:14.326940 : Epoch  8, Batch    537, Loss  0.884378, Average Loss  0.870183, Time  0.238877
2021-09-16 17:59:16.938965 : Epoch  8, Batch    538, Loss  0.867352, Average Loss  0.870201, Time  0.237629
2021-09-16 17:59:19.553921 : Epoch  8, Batch    539, Loss  0.858039, Average Loss  0.870210, Time  0.237640
2021-09-16 17:59:22.174003 : Epoch  8, Batch    540, Loss  0.882863, Average Loss  0.870197, Time  0.237861
2021-09-16 17:59:24.786897 : Epoch  8, Batch    541, Loss  0.845191, Average Loss  0.869932, Time  0.237644
2021-09-16 17:59:27.400158 : Epoch  8, Batch    542, Loss  0.884281, Average Loss  0.870074, Time  0.238017
2021-09-16 17:59:30.011913 : Epoch  8, Batch    543, Loss  0.850002, Average Loss  0.869967, Time  0.238028
2021-09-16 17:59:32.625891 : Epoch  8, Batch    544, Loss  0.895630, Average Loss  0.870110, Time  0.237916
2021-09-16 17:59:35.236912 : Epoch  8, Batch    545, Loss  0.855577, Average Loss  0.869998, Time  0.237680
2021-09-16 17:59:37.857098 : Epoch  8, Batch    546, Loss  0.862661, Average Loss  0.869926, Time  0.237497
2021-09-16 17:59:40.466256 : Epoch  8, Batch    547, Loss  0.867077, Average Loss  0.869913, Time  0.238009
2021-09-16 17:59:43.077022 : Epoch  8, Batch    548, Loss  0.868206, Average Loss  0.869927, Time  0.237578
2021-09-16 17:59:45.687703 : Epoch  8, Batch    549, Loss  0.864618, Average Loss  0.869861, Time  0.237458
2021-09-16 17:59:48.294926 : Epoch  8, Batch    550, Loss  0.874113, Average Loss  0.869824, Time  0.237670
2021-09-16 17:59:50.903988 : Epoch  8, Batch    551, Loss  0.867627, Average Loss  0.869869, Time  0.237671
2021-09-16 17:59:53.514117 : Epoch  8, Batch    552, Loss  0.862088, Average Loss  0.869881, Time  0.238005
2021-09-16 17:59:56.118235 : Epoch  8, Batch    553, Loss  0.864216, Average Loss  0.869904, Time  0.238651
2021-09-16 17:59:58.729674 : Epoch  8, Batch    554, Loss  0.879093, Average Loss  0.870054, Time  0.237773
2021-09-16 18:00:01.344770 : Epoch  8, Batch    555, Loss  0.870276, Average Loss  0.870027, Time  0.237903
2021-09-16 18:00:03.992046 : Epoch  8, Batch    556, Loss  0.874709, Average Loss  0.870080, Time  0.238988
2021-09-16 18:00:06.628891 : Epoch  8, Batch    557, Loss  0.873962, Average Loss  0.870066, Time  0.238544
2021-09-16 18:00:09.241113 : Epoch  8, Batch    558, Loss  0.875219, Average Loss  0.870143, Time  0.238822
2021-09-16 18:00:11.854725 : Epoch  8, Batch    559, Loss  0.885343, Average Loss  0.870263, Time  0.238560
2021-09-16 18:00:14.459166 : Epoch  8, Batch    560, Loss  0.855763, Average Loss  0.870094, Time  0.237844
2021-09-16 18:00:17.076920 : Epoch  8, Batch    561, Loss  0.874786, Average Loss  0.870098, Time  0.237659
2021-09-16 18:00:19.704796 : Epoch  8, Batch    562, Loss  0.883806, Average Loss  0.870079, Time  0.237900
2021-09-16 18:00:22.320687 : Epoch  8, Batch    563, Loss  0.863395, Average Loss  0.870068, Time  0.238234
2021-09-16 18:00:24.928736 : Epoch  8, Batch    564, Loss  0.886968, Average Loss  0.870266, Time  0.237598
2021-09-16 18:00:27.535008 : Epoch  8, Batch    565, Loss  0.842175, Average Loss  0.870197, Time  0.237804
2021-09-16 18:00:30.141981 : Epoch  8, Batch    566, Loss  0.888493, Average Loss  0.870268, Time  0.237674
2021-09-16 18:00:32.740954 : Epoch  8, Batch    567, Loss  0.830244, Average Loss  0.869946, Time  0.237687
2021-09-16 18:00:35.350882 : Epoch  8, Batch    568, Loss  0.858545, Average Loss  0.869790, Time  0.237767
2021-09-16 18:00:37.978748 : Epoch  8, Batch    569, Loss  0.848026, Average Loss  0.869663, Time  0.237577
2021-09-16 18:00:40.595823 : Epoch  8, Batch    570, Loss  0.875400, Average Loss  0.869697, Time  0.237606
2021-09-16 18:00:43.201909 : Epoch  8, Batch    571, Loss  0.877905, Average Loss  0.869913, Time  0.237576
2021-09-16 18:00:45.817861 : Epoch  8, Batch    572, Loss  0.864286, Average Loss  0.869925, Time  0.237957
2021-09-16 18:00:48.452709 : Epoch  8, Batch    573, Loss  0.890501, Average Loss  0.870007, Time  0.237723
2021-09-16 18:00:51.070655 : Epoch  8, Batch    574, Loss  0.861753, Average Loss  0.870036, Time  0.237805
2021-09-16 18:00:53.683173 : Epoch  8, Batch    575, Loss  0.854909, Average Loss  0.870002, Time  0.237940
2021-09-16 18:00:56.293229 : Epoch  8, Batch    576, Loss  0.852151, Average Loss  0.869851, Time  0.237861
2021-09-16 18:00:58.919698 : Epoch  8, Batch    577, Loss  0.831764, Average Loss  0.869687, Time  0.237857
2021-09-16 18:01:01.532736 : Epoch  8, Batch    578, Loss  0.842945, Average Loss  0.869487, Time  0.237881
2021-09-16 18:01:04.160100 : Epoch  8, Batch    579, Loss  0.845352, Average Loss  0.869252, Time  0.238350
2021-09-16 18:01:06.772943 : Epoch  8, Batch    580, Loss  0.883677, Average Loss  0.869168, Time  0.238875
2021-09-16 18:01:09.386860 : Epoch  8, Batch    581, Loss  0.883140, Average Loss  0.869189, Time  0.237604
2021-09-16 18:01:12.006193 : Epoch  8, Batch    582, Loss  0.869958, Average Loss  0.869170, Time  0.237998
2021-09-16 18:01:14.611895 : Epoch  8, Batch    583, Loss  0.849555, Average Loss  0.869078, Time  0.237914
2021-09-16 18:01:17.223006 : Epoch  8, Batch    584, Loss  0.866264, Average Loss  0.869056, Time  0.237847
2021-09-16 18:01:19.829936 : Epoch  8, Batch    585, Loss  0.871374, Average Loss  0.869068, Time  0.237859
2021-09-16 18:01:22.445876 : Epoch  8, Batch    586, Loss  0.862023, Average Loss  0.869088, Time  0.237746
2021-09-16 18:01:25.068947 : Epoch  8, Batch    587, Loss  0.875256, Average Loss  0.869103, Time  0.237710
2021-09-16 18:01:27.681693 : Epoch  8, Batch    588, Loss  0.854129, Average Loss  0.868952, Time  0.237544
2021-09-16 18:01:30.296166 : Epoch  8, Batch    589, Loss  0.878676, Average Loss  0.868963, Time  0.237687
2021-09-16 18:01:32.990724 : Epoch  8, Batch    590, Loss  0.842178, Average Loss  0.868848, Time  0.238129
2021-09-16 18:01:35.601849 : Epoch  8, Batch    591, Loss  0.869359, Average Loss  0.868833, Time  0.237792
2021-09-16 18:01:38.220849 : Epoch  8, Batch    592, Loss  0.852286, Average Loss  0.868673, Time  0.237741
2021-09-16 18:01:40.835687 : Epoch  8, Batch    593, Loss  0.858931, Average Loss  0.868665, Time  0.238439
2021-09-16 18:01:43.455728 : Epoch  8, Batch    594, Loss  0.845097, Average Loss  0.868574, Time  0.238102
2021-09-16 18:01:46.072187 : Epoch  8, Batch    595, Loss  0.874896, Average Loss  0.868546, Time  0.237958
2021-09-16 18:01:48.686669 : Epoch  8, Batch    596, Loss  0.896688, Average Loss  0.868796, Time  0.237510
2021-09-16 18:01:51.300678 : Epoch  8, Batch    597, Loss  0.890736, Average Loss  0.868956, Time  0.237487
2021-09-16 18:01:53.925125 : Epoch  8, Batch    598, Loss  0.885036, Average Loss  0.868954, Time  0.238584
2021-09-16 18:01:56.538916 : Epoch  8, Batch    599, Loss  0.866731, Average Loss  0.868875, Time  0.237653
2021-09-16 18:01:59.158774 : Epoch  8, Batch    600, Loss  0.871439, Average Loss  0.868973, Time  0.237602
2021-09-16 18:02:01.775717 : Epoch  8, Batch    601, Loss  0.872447, Average Loss  0.869064, Time  0.237816
2021-09-16 18:02:04.399942 : Epoch  8, Batch    602, Loss  0.846010, Average Loss  0.868926, Time  0.237850
2021-09-16 18:02:07.017909 : Epoch  8, Batch    603, Loss  0.863616, Average Loss  0.868894, Time  0.238866
2021-09-16 18:02:09.638915 : Epoch  8, Batch    604, Loss  0.888822, Average Loss  0.869023, Time  0.237277
2021-09-16 18:02:12.252943 : Epoch  8, Batch    605, Loss  0.874756, Average Loss  0.869172, Time  0.238504
2021-09-16 18:02:14.856908 : Epoch  8, Batch    606, Loss  0.876029, Average Loss  0.869215, Time  0.237620
2021-09-16 18:02:17.466871 : Epoch  8, Batch    607, Loss  0.882750, Average Loss  0.869350, Time  0.237921
2021-09-16 18:02:20.076080 : Epoch  8, Batch    608, Loss  0.889821, Average Loss  0.869549, Time  0.237749
2021-09-16 18:03:02.279395 : CheckPoint: Validation Loss  0.00029529, Best Loss  0.00029014
2021-09-16 18:03:05.255901 : Epoch  9, Batch   1653, Loss  0.872029, Average Loss  0.867783, Time  0.264507
2021-09-16 18:03:08.229510 : Epoch  9, Batch   1654, Loss  0.861949, Average Loss  0.867711, Time  0.264033
2021-09-16 18:03:11.193192 : Epoch  9, Batch   1655, Loss  0.881016, Average Loss  0.867770, Time  0.264285
2021-09-16 18:03:14.160631 : Epoch  9, Batch   1656, Loss  0.871432, Average Loss  0.867739, Time  0.265259
2021-09-16 18:03:17.132557 : Epoch  9, Batch   1657, Loss  0.862498, Average Loss  0.867634, Time  0.264153
2021-09-16 18:03:20.091869 : Epoch  9, Batch   1658, Loss  0.872349, Average Loss  0.867671, Time  0.264406
2021-09-16 18:03:23.079877 : Epoch  9, Batch   1659, Loss  0.857567, Average Loss  0.867487, Time  0.265077
2021-09-16 18:03:26.057595 : Epoch  9, Batch   1660, Loss  0.863523, Average Loss  0.867473, Time  0.264841
2021-09-16 18:03:29.038069 : Epoch  9, Batch   1661, Loss  0.858509, Average Loss  0.867466, Time  0.265144
2021-09-16 18:03:32.031519 : Epoch  9, Batch   1662, Loss  0.910689, Average Loss  0.867603, Time  0.263977
2021-09-16 18:03:34.994576 : Epoch  9, Batch   1663, Loss  0.871349, Average Loss  0.867610, Time  0.263968
2021-09-16 18:03:37.954772 : Epoch  9, Batch   1664, Loss  0.874158, Average Loss  0.867603, Time  0.263385
2021-09-16 18:03:40.941065 : Epoch  9, Batch   1665, Loss  0.861960, Average Loss  0.867628, Time  0.274518
2021-09-16 18:03:43.893449 : Epoch  9, Batch   1666, Loss  0.880448, Average Loss  0.867661, Time  0.264016
2021-09-16 18:03:46.849625 : Epoch  9, Batch   1667, Loss  0.865807, Average Loss  0.867497, Time  0.263799
2021-09-16 18:03:49.806496 : Epoch  9, Batch   1668, Loss  0.847629, Average Loss  0.867330, Time  0.265430
2021-09-16 18:03:52.794377 : Epoch  9, Batch   1669, Loss  0.874819, Average Loss  0.867352, Time  0.264720
2021-09-16 18:03:55.776073 : Epoch  9, Batch   1670, Loss  0.891177, Average Loss  0.867474, Time  0.264811
2021-09-16 18:03:58.737894 : Epoch  9, Batch   1671, Loss  0.874760, Average Loss  0.867646, Time  0.264032
2021-09-16 18:04:01.705362 : Epoch  9, Batch   1672, Loss  0.877172, Average Loss  0.867774, Time  0.264991
2021-09-16 18:04:04.675192 : Epoch  9, Batch   1673, Loss  0.874963, Average Loss  0.867848, Time  0.264354
2021-09-16 18:04:07.671843 : Epoch  9, Batch   1674, Loss  0.859943, Average Loss  0.867793, Time  0.267069
2021-09-16 18:04:10.672464 : Epoch  9, Batch   1675, Loss  0.854137, Average Loss  0.867750, Time  0.264806
2021-09-16 18:04:13.656906 : Epoch  9, Batch   1676, Loss  0.861979, Average Loss  0.867734, Time  0.264435
2021-09-16 18:04:16.638554 : Epoch  9, Batch   1677, Loss  0.854992, Average Loss  0.867644, Time  0.265868
2021-09-16 18:04:19.611270 : Epoch  9, Batch   1678, Loss  0.872696, Average Loss  0.867790, Time  0.265898
2021-09-16 18:04:22.593910 : Epoch  9, Batch   1679, Loss  0.855751, Average Loss  0.867718, Time  0.265225
2021-09-16 18:04:25.555135 : Epoch  9, Batch   1680, Loss  0.875639, Average Loss  0.867681, Time  0.265272
2021-09-16 18:04:28.588257 : Epoch  9, Batch   1681, Loss  0.882742, Average Loss  0.867670, Time  0.274333
2021-09-16 18:04:31.558620 : Epoch  9, Batch   1682, Loss  0.838776, Average Loss  0.867455, Time  0.264310
2021-09-16 18:04:34.521856 : Epoch  9, Batch   1683, Loss  0.874643, Average Loss  0.867452, Time  0.265004
2021-09-16 18:04:37.511080 : Epoch  9, Batch   1684, Loss  0.851831, Average Loss  0.867341, Time  0.264636
2021-09-16 18:04:40.506610 : Epoch  9, Batch   1685, Loss  0.876844, Average Loss  0.867411, Time  0.265587
2021-09-16 18:04:43.496751 : Epoch  9, Batch   1686, Loss  0.864336, Average Loss  0.867416, Time  0.264837
2021-09-16 18:04:46.477116 : Epoch  9, Batch   1687, Loss  0.853725, Average Loss  0.867379, Time  0.264403
2021-09-16 18:04:49.442003 : Epoch  9, Batch   1688, Loss  0.870665, Average Loss  0.867421, Time  0.264087
2021-09-16 18:04:52.436544 : Epoch  9, Batch   1689, Loss  0.871739, Average Loss  0.867502, Time  0.264096
2021-09-16 18:04:55.403639 : Epoch  9, Batch   1690, Loss  0.877974, Average Loss  0.867523, Time  0.264381
2021-09-16 18:04:58.412624 : Epoch  9, Batch   1691, Loss  0.864429, Average Loss  0.867524, Time  0.264486
2021-09-16 18:05:01.386448 : Epoch  9, Batch   1692, Loss  0.893027, Average Loss  0.867651, Time  0.263671
2021-09-16 18:05:04.398034 : Epoch  9, Batch   1693, Loss  0.864865, Average Loss  0.867676, Time  0.264915
2021-09-16 18:05:07.399399 : Epoch  9, Batch   1694, Loss  0.849162, Average Loss  0.867621, Time  0.265048
2021-09-16 18:05:10.369510 : Epoch  9, Batch   1695, Loss  0.867343, Average Loss  0.867787, Time  0.263965
2021-09-16 18:05:13.396996 : Epoch  9, Batch   1696, Loss  0.882718, Average Loss  0.867908, Time  0.273850
2021-09-16 18:05:16.392217 : Epoch  9, Batch   1697, Loss  0.867709, Average Loss  0.867865, Time  0.265969
2021-09-16 18:05:19.413947 : Epoch  9, Batch   1698, Loss  0.865134, Average Loss  0.867838, Time  0.265832
2021-09-16 18:05:22.438957 : Epoch  9, Batch   1699, Loss  0.848646, Average Loss  0.867733, Time  0.265430
2021-09-16 18:05:25.414638 : Epoch  9, Batch   1700, Loss  0.869379, Average Loss  0.867755, Time  0.263976
2021-09-16 18:05:28.404239 : Epoch  9, Batch   1701, Loss  0.877622, Average Loss  0.867710, Time  0.264202
2021-09-16 18:05:31.368608 : Epoch  9, Batch   1702, Loss  0.880825, Average Loss  0.867728, Time  0.264520
2021-09-16 18:05:34.346653 : Epoch  9, Batch   1703, Loss  0.874514, Average Loss  0.867837, Time  0.264693
2021-09-16 18:05:37.322566 : Epoch  9, Batch   1704, Loss  0.855957, Average Loss  0.867677, Time  0.264817
2021-09-16 18:05:40.283864 : Epoch  9, Batch   1705, Loss  0.882330, Average Loss  0.867761, Time  0.263823
2021-09-16 18:05:43.268148 : Epoch  9, Batch   1706, Loss  0.867843, Average Loss  0.867867, Time  0.263917
2021-09-16 18:05:46.227389 : Epoch  9, Batch   1707, Loss  0.885164, Average Loss  0.868032, Time  0.264709
2021-09-16 18:05:49.199081 : Epoch  9, Batch   1708, Loss  0.878137, Average Loss  0.868077, Time  0.264473
2021-09-16 18:05:52.165601 : Epoch  9, Batch   1709, Loss  0.860810, Average Loss  0.868081, Time  0.263719
2021-09-16 18:05:55.134331 : Epoch  9, Batch   1710, Loss  0.863506, Average Loss  0.868188, Time  0.264937
2021-09-16 18:05:58.154762 : Epoch  9, Batch   1711, Loss  0.865556, Average Loss  0.868267, Time  0.274778
2021-09-16 18:06:01.130241 : Epoch  9, Batch   1712, Loss  0.858947, Average Loss  0.868163, Time  0.265034
2021-09-16 18:06:04.097871 : Epoch  9, Batch   1713, Loss  0.862050, Average Loss  0.868217, Time  0.264134
2021-09-16 18:06:07.060915 : Epoch  9, Batch   1714, Loss  0.863585, Average Loss  0.868173, Time  0.264909
2021-09-16 18:06:10.063297 : Epoch  9, Batch   1715, Loss  0.883657, Average Loss  0.868282, Time  0.264134
2021-09-16 18:06:13.060180 : Epoch  9, Batch   1716, Loss  0.856654, Average Loss  0.868096, Time  0.264457
2021-09-16 18:06:16.072114 : Epoch  9, Batch   1717, Loss  0.890727, Average Loss  0.868188, Time  0.266691
2021-09-16 18:06:18.482686 : CheckPoint: Validation Loss  0.00029592, Best Loss  0.00029207
2021-09-16 18:06:19.093813 : Epoch  9, Batch   1718, Loss  0.881163, Average Loss  0.868257, Time  0.264073
2021-09-16 18:06:21.061772 : Epoch  8, Batch    609, Loss  0.846232, Average Loss  0.869425, Time  0.238731
2021-09-16 18:06:22.084990 : Epoch  9, Batch   1719, Loss  0.876715, Average Loss  0.868198, Time  0.265776
2021-09-16 18:06:23.659692 : Epoch  8, Batch    610, Loss  0.861315, Average Loss  0.869396, Time  0.237839
2021-09-16 18:06:25.064107 : Epoch  9, Batch   1720, Loss  0.862697, Average Loss  0.868154, Time  0.263851
2021-09-16 18:06:26.271175 : Epoch  8, Batch    611, Loss  0.881470, Average Loss  0.869445, Time  0.237795
2021-09-16 18:06:28.047190 : Epoch  9, Batch   1721, Loss  0.872030, Average Loss  0.868251, Time  0.265844
2021-09-16 18:06:28.865679 : Epoch  8, Batch    612, Loss  0.852643, Average Loss  0.869412, Time  0.237800
2021-09-16 18:06:31.120739 : Epoch  9, Batch   1722, Loss  0.874540, Average Loss  0.868189, Time  0.289265
2021-09-16 18:06:31.461934 : Epoch  8, Batch    613, Loss  0.858510, Average Loss  0.869493, Time  0.238071
2021-09-16 18:06:34.038935 : Epoch  8, Batch    614, Loss  0.870690, Average Loss  0.869507, Time  0.237690
2021-09-16 18:06:34.130366 : Epoch  9, Batch   1723, Loss  0.886810, Average Loss  0.868301, Time  0.264021
2021-09-16 18:06:36.629019 : Epoch  8, Batch    615, Loss  0.864036, Average Loss  0.869355, Time  0.238746
2021-09-16 18:06:37.105114 : Epoch  9, Batch   1724, Loss  0.884755, Average Loss  0.868345, Time  0.265319
2021-09-16 18:06:39.214802 : Epoch  8, Batch    616, Loss  0.874838, Average Loss  0.869413, Time  0.237420
2021-09-16 18:06:40.072287 : Epoch  9, Batch   1725, Loss  0.876360, Average Loss  0.868387, Time  0.264129
2021-09-16 18:06:41.810189 : Epoch  8, Batch    617, Loss  0.877782, Average Loss  0.869387, Time  0.238543
2021-09-16 18:06:43.095720 : Epoch  9, Batch   1726, Loss  0.854816, Average Loss  0.868293, Time  0.276712
2021-09-16 18:06:44.416749 : Epoch  8, Batch    618, Loss  0.846851, Average Loss  0.869207, Time  0.238000
2021-09-16 18:06:46.093145 : Epoch  9, Batch   1727, Loss  0.886421, Average Loss  0.868368, Time  0.265219
2021-09-16 18:06:47.014122 : Epoch  8, Batch    619, Loss  0.881367, Average Loss  0.869219, Time  0.238009
2021-09-16 18:06:49.059966 : Epoch  9, Batch   1728, Loss  0.862874, Average Loss  0.868387, Time  0.264706
2021-09-16 18:06:49.614732 : Epoch  8, Batch    620, Loss  0.883106, Average Loss  0.869219, Time  0.238694
2021-09-16 18:06:52.018437 : Epoch  9, Batch   1729, Loss  0.859455, Average Loss  0.868308, Time  0.264264
2021-09-16 18:06:52.209684 : Epoch  8, Batch    621, Loss  0.867709, Average Loss  0.869237, Time  0.237447
2021-09-16 18:06:54.794708 : Epoch  8, Batch    622, Loss  0.878819, Average Loss  0.869277, Time  0.237848
2021-09-16 18:06:54.972124 : Epoch  9, Batch   1730, Loss  0.890447, Average Loss  0.868458, Time  0.263818
2021-09-16 18:06:57.391916 : Epoch  8, Batch    623, Loss  0.882794, Average Loss  0.869414, Time  0.237729
2021-09-16 18:06:57.926180 : Epoch  9, Batch   1731, Loss  0.869407, Average Loss  0.868355, Time  0.264117
2021-09-16 18:06:59.988923 : Epoch  8, Batch    624, Loss  0.887010, Average Loss  0.869516, Time  0.237493
2021-09-16 18:07:00.901378 : Epoch  9, Batch   1732, Loss  0.855243, Average Loss  0.868310, Time  0.264091
2021-09-16 18:07:02.587684 : Epoch  8, Batch    625, Loss  0.856208, Average Loss  0.869429, Time  0.237820
2021-09-16 18:07:03.887049 : Epoch  9, Batch   1733, Loss  0.862050, Average Loss  0.868168, Time  0.264689
2021-09-16 18:07:05.202941 : Epoch  8, Batch    626, Loss  0.878550, Average Loss  0.869371, Time  0.238533
2021-09-16 18:07:06.889345 : Epoch  9, Batch   1734, Loss  0.876821, Average Loss  0.868249, Time  0.264625
2021-09-16 18:07:07.792245 : Epoch  8, Batch    627, Loss  0.861489, Average Loss  0.869338, Time  0.237800
2021-09-16 18:07:09.884862 : Epoch  9, Batch   1735, Loss  0.878664, Average Loss  0.868350, Time  0.264373
2021-09-16 18:07:10.453285 : Epoch  8, Batch    628, Loss  0.863111, Average Loss  0.869340, Time  0.258950
2021-09-16 18:07:12.877752 : Epoch  9, Batch   1736, Loss  0.870796, Average Loss  0.868432, Time  0.266188
2021-09-16 18:07:13.144272 : Epoch  8, Batch    629, Loss  0.862690, Average Loss  0.869341, Time  0.244576
2021-09-16 18:07:15.742975 : Epoch  8, Batch    630, Loss  0.879470, Average Loss  0.869426, Time  0.238279
2021-09-16 18:07:15.862194 : Epoch  9, Batch   1737, Loss  0.867105, Average Loss  0.868475, Time  0.263920
2021-09-16 18:07:18.339951 : Epoch  8, Batch    631, Loss  0.877692, Average Loss  0.869502, Time  0.238118
2021-09-16 18:07:18.835557 : Epoch  9, Batch   1738, Loss  0.863898, Average Loss  0.868450, Time  0.264150
2021-09-16 18:07:20.949005 : Epoch  8, Batch    632, Loss  0.861837, Average Loss  0.869347, Time  0.239667
2021-09-16 18:07:21.789453 : Epoch  9, Batch   1739, Loss  0.864425, Average Loss  0.868414, Time  0.264062
2021-09-16 18:07:23.543121 : Epoch  8, Batch    633, Loss  0.884568, Average Loss  0.869339, Time  0.237929
2021-09-16 18:07:24.750002 : Epoch  9, Batch   1740, Loss  0.884003, Average Loss  0.868507, Time  0.263625
2021-09-16 18:07:26.150993 : Epoch  8, Batch    634, Loss  0.890608, Average Loss  0.869445, Time  0.239913
2021-09-16 18:07:27.727755 : Epoch  9, Batch   1741, Loss  0.870950, Average Loss  0.868563, Time  0.264754
2021-09-16 18:07:28.741968 : Epoch  8, Batch    635, Loss  0.848979, Average Loss  0.869239, Time  0.237786
2021-09-16 18:07:30.705829 : Epoch  9, Batch   1742, Loss  0.849325, Average Loss  0.868522, Time  0.276514
2021-09-16 18:07:31.339743 : Epoch  8, Batch    636, Loss  0.867628, Average Loss  0.869209, Time  0.238073
2021-09-16 18:07:33.675579 : Epoch  9, Batch   1743, Loss  0.864685, Average Loss  0.868540, Time  0.264518
2021-09-16 18:07:33.940152 : Epoch  8, Batch    637, Loss  0.865527, Average Loss  0.869184, Time  0.237749
2021-09-16 18:07:36.538856 : Epoch  8, Batch    638, Loss  0.846717, Average Loss  0.869156, Time  0.239487
2021-09-16 18:07:36.640227 : Epoch  9, Batch   1744, Loss  0.839397, Average Loss  0.868226, Time  0.264466
2021-09-16 18:07:39.142837 : Epoch  8, Batch    639, Loss  0.866081, Average Loss  0.869069, Time  0.239576
2021-09-16 18:07:39.604671 : Epoch  9, Batch   1745, Loss  0.888110, Average Loss  0.868216, Time  0.264102
2021-09-16 18:07:41.735246 : Epoch  8, Batch    640, Loss  0.866300, Average Loss  0.869076, Time  0.237455
2021-09-16 18:07:42.564505 : Epoch  9, Batch   1746, Loss  0.858406, Average Loss  0.868205, Time  0.265146
2021-09-16 18:07:44.337918 : Epoch  8, Batch    641, Loss  0.880882, Average Loss  0.869140, Time  0.237617
2021-09-16 18:07:45.602828 : Epoch  9, Batch   1747, Loss  0.897916, Average Loss  0.868313, Time  0.265862
2021-09-16 18:07:46.946247 : Epoch  8, Batch    642, Loss  0.889398, Average Loss  0.869125, Time  0.239454
2021-09-16 18:07:48.555722 : Epoch  9, Batch   1748, Loss  0.862661, Average Loss  0.868156, Time  0.263891
2021-09-16 18:07:49.542881 : Epoch  8, Batch    643, Loss  0.874358, Average Loss  0.869073, Time  0.238074
2021-09-16 18:07:51.528807 : Epoch  9, Batch   1749, Loss  0.869305, Average Loss  0.868329, Time  0.264757
2021-09-16 18:07:52.136317 : Epoch  8, Batch    644, Loss  0.860291, Average Loss  0.869122, Time  0.238079
2021-09-16 18:07:54.499614 : Epoch  9, Batch   1750, Loss  0.874748, Average Loss  0.868360, Time  0.264465
2021-09-16 18:07:54.739673 : Epoch  8, Batch    645, Loss  0.869214, Average Loss  0.869167, Time  0.237825
2021-09-16 18:07:57.322105 : Epoch  8, Batch    646, Loss  0.844824, Average Loss  0.869118, Time  0.237404
2021-09-16 18:07:57.473361 : Epoch  9, Batch   1751, Loss  0.841359, Average Loss  0.868213, Time  0.264796
2021-09-16 18:07:59.932711 : Epoch  8, Batch    647, Loss  0.866803, Average Loss  0.869117, Time  0.238579
2021-09-16 18:08:00.430700 : Epoch  9, Batch   1752, Loss  0.865836, Average Loss  0.868240, Time  0.263820
2021-09-16 18:08:02.543757 : Epoch  8, Batch    648, Loss  0.885071, Average Loss  0.869198, Time  0.238511
2021-09-16 18:08:05.142650 : Epoch  8, Batch    649, Loss  0.883213, Average Loss  0.869299, Time  0.238130
2021-09-16 18:08:07.751479 : Epoch  8, Batch    650, Loss  0.877069, Average Loss  0.869461, Time  0.237786
2021-09-16 18:08:10.343896 : Epoch  8, Batch    651, Loss  0.854184, Average Loss  0.869429, Time  0.238139
2021-09-16 18:08:12.937835 : Epoch  8, Batch    652, Loss  0.878923, Average Loss  0.869558, Time  0.237769
2021-09-16 18:08:15.539114 : Epoch  8, Batch    653, Loss  0.842558, Average Loss  0.869547, Time  0.237429
2021-09-16 18:08:18.150225 : Epoch  8, Batch    654, Loss  0.867846, Average Loss  0.869474, Time  0.238893
2021-09-16 18:08:20.744947 : Epoch  8, Batch    655, Loss  0.858943, Average Loss  0.869464, Time  0.238499
2021-09-16 18:08:23.339063 : Epoch  8, Batch    656, Loss  0.851680, Average Loss  0.869208, Time  0.238026
2021-09-16 18:08:25.929036 : Epoch  8, Batch    657, Loss  0.862758, Average Loss  0.869128, Time  0.237984
2021-09-16 18:08:28.518842 : Epoch  8, Batch    658, Loss  0.887594, Average Loss  0.869236, Time  0.237598
2021-09-16 18:08:31.119953 : Epoch  8, Batch    659, Loss  0.877816, Average Loss  0.869213, Time  0.238225
2021-09-16 18:08:33.735184 : Epoch  8, Batch    660, Loss  0.862375, Average Loss  0.869193, Time  0.237731
2021-09-16 18:08:36.331934 : Epoch  8, Batch    661, Loss  0.860138, Average Loss  0.869228, Time  0.238005
2021-09-16 18:08:38.936176 : Epoch  8, Batch    662, Loss  0.867148, Average Loss  0.869253, Time  0.237761
2021-09-16 18:08:41.538925 : Epoch  8, Batch    663, Loss  0.868381, Average Loss  0.869174, Time  0.238846
2021-09-16 18:08:44.156995 : Epoch  8, Batch    664, Loss  0.863620, Average Loss  0.869057, Time  0.238425
2021-09-16 18:08:46.784188 : Epoch  8, Batch    665, Loss  0.876421, Average Loss  0.869191, Time  0.237643
2021-09-16 18:08:49.384748 : Epoch  8, Batch    666, Loss  0.859050, Average Loss  0.869064, Time  0.238179
2021-09-16 18:08:51.988765 : Epoch  8, Batch    667, Loss  0.852792, Average Loss  0.868930, Time  0.237817
2021-09-16 18:08:54.583716 : Epoch  8, Batch    668, Loss  0.861837, Average Loss  0.868933, Time  0.238128
2021-09-16 18:08:57.182910 : Epoch  8, Batch    669, Loss  0.875660, Average Loss  0.868979, Time  0.237489
2021-09-16 18:08:59.785661 : Epoch  8, Batch    670, Loss  0.866608, Average Loss  0.868873, Time  0.240561
2021-09-16 18:09:02.387924 : Epoch  8, Batch    671, Loss  0.891448, Average Loss  0.868916, Time  0.237814
2021-09-16 18:09:04.982694 : Epoch  8, Batch    672, Loss  0.852571, Average Loss  0.868727, Time  0.237411
2021-09-16 18:09:07.584015 : Epoch  8, Batch    673, Loss  0.873199, Average Loss  0.868624, Time  0.239036
2021-09-16 18:09:10.179571 : Epoch  8, Batch    674, Loss  0.882938, Average Loss  0.868860, Time  0.238433
2021-09-16 18:09:12.787750 : Epoch  8, Batch    675, Loss  0.872526, Average Loss  0.868965, Time  0.238291
2021-09-16 18:09:15.393470 : Epoch  8, Batch    676, Loss  0.871360, Average Loss  0.868978, Time  0.238362
2021-09-16 18:09:17.996845 : Epoch  8, Batch    677, Loss  0.857399, Average Loss  0.869012, Time  0.238060
2021-09-16 18:09:20.597744 : Epoch  8, Batch    678, Loss  0.899505, Average Loss  0.869115, Time  0.237699
2021-09-16 18:09:23.201867 : Epoch  8, Batch    679, Loss  0.851114, Average Loss  0.869051, Time  0.237679
2021-09-16 18:09:25.805677 : Epoch  8, Batch    680, Loss  0.880225, Average Loss  0.869078, Time  0.237922
2021-09-16 18:09:28.407202 : Epoch  8, Batch    681, Loss  0.871160, Average Loss  0.869105, Time  0.237660
2021-09-16 18:09:31.001000 : Epoch  8, Batch    682, Loss  0.865684, Average Loss  0.869117, Time  0.237503
2021-09-16 18:09:33.594002 : Epoch  8, Batch    683, Loss  0.851421, Average Loss  0.868990, Time  0.238166
2021-09-16 18:09:36.184967 : Epoch  8, Batch    684, Loss  0.884478, Average Loss  0.869095, Time  0.237711
2021-09-16 18:09:38.786409 : Epoch  8, Batch    685, Loss  0.873851, Average Loss  0.869149, Time  0.237900
2021-09-16 18:09:41.387055 : Epoch  8, Batch    686, Loss  0.874121, Average Loss  0.869063, Time  0.238667
2021-09-16 18:09:43.981926 : Epoch  8, Batch    687, Loss  0.875024, Average Loss  0.869185, Time  0.237636
2021-09-16 18:09:46.587262 : Epoch  8, Batch    688, Loss  0.866635, Average Loss  0.869062, Time  0.238782
2021-09-16 18:09:49.187770 : Epoch  8, Batch    689, Loss  0.872130, Average Loss  0.869108, Time  0.238194
2021-09-16 18:09:51.788756 : Epoch  8, Batch    690, Loss  0.869229, Average Loss  0.869081, Time  0.238315
2021-09-16 18:09:54.386700 : Epoch  8, Batch    691, Loss  0.836466, Average Loss  0.869002, Time  0.237780
2021-09-16 18:09:56.991910 : Epoch  8, Batch    692, Loss  0.866562, Average Loss  0.868979, Time  0.237998
2021-09-16 18:09:59.621680 : Epoch  8, Batch    693, Loss  0.862072, Average Loss  0.868941, Time  0.237832
2021-09-16 18:10:02.218709 : Epoch  8, Batch    694, Loss  0.857044, Average Loss  0.868958, Time  0.237588
2021-09-16 18:10:04.814036 : Epoch  8, Batch    695, Loss  0.874521, Average Loss  0.869068, Time  0.237798
2021-09-16 18:10:07.412710 : Epoch  8, Batch    696, Loss  0.885862, Average Loss  0.869152, Time  0.237756
2021-09-16 18:10:10.010928 : Epoch  8, Batch    697, Loss  0.860355, Average Loss  0.869173, Time  0.237712
2021-09-16 18:10:12.617003 : Epoch  8, Batch    698, Loss  0.894415, Average Loss  0.869283, Time  0.237745
2021-09-16 18:10:15.213064 : Epoch  8, Batch    699, Loss  0.864589, Average Loss  0.869314, Time  0.237798
2021-09-16 18:10:17.804042 : Epoch  8, Batch    700, Loss  0.856615, Average Loss  0.869245, Time  0.237704
2021-09-16 18:10:20.403784 : Epoch  8, Batch    701, Loss  0.863838, Average Loss  0.869170, Time  0.238017
2021-09-16 18:10:23.017027 : Epoch  8, Batch    702, Loss  0.859382, Average Loss  0.869057, Time  0.239011
2021-09-16 18:10:25.646216 : Epoch  8, Batch    703, Loss  0.856293, Average Loss  0.868930, Time  0.238104
2021-09-16 18:10:28.239807 : Epoch  8, Batch    704, Loss  0.873987, Average Loss  0.868898, Time  0.238264
2021-09-16 18:10:30.878794 : Epoch  8, Batch    705, Loss  0.868513, Average Loss  0.868842, Time  0.237944
2021-09-16 18:10:33.483953 : Epoch  8, Batch    706, Loss  0.855111, Average Loss  0.868753, Time  0.237721
2021-09-16 18:10:36.082021 : Epoch  8, Batch    707, Loss  0.853931, Average Loss  0.868568, Time  0.237975
2021-09-16 18:10:38.673161 : Epoch  8, Batch    708, Loss  0.876460, Average Loss  0.868639, Time  0.238034
2021-09-16 18:12:35.912027 : CheckPoint: Validation Loss  0.00029508, Best Loss  0.00029014
2021-09-16 18:12:38.907377 : Epoch  9, Batch   1753, Loss  0.878085, Average Loss  0.868299, Time  0.264757
2021-09-16 18:12:41.875668 : Epoch  9, Batch   1754, Loss  0.855978, Average Loss  0.868280, Time  0.264234
2021-09-16 18:12:44.849907 : Epoch  9, Batch   1755, Loss  0.875547, Average Loss  0.868368, Time  0.264649
2021-09-16 18:12:47.846046 : Epoch  9, Batch   1756, Loss  0.880253, Average Loss  0.868388, Time  0.265824
2021-09-16 18:12:50.805502 : Epoch  9, Batch   1757, Loss  0.876735, Average Loss  0.868468, Time  0.264030
2021-09-16 18:12:53.777384 : Epoch  9, Batch   1758, Loss  0.849651, Average Loss  0.868414, Time  0.264352
2021-09-16 18:12:56.767549 : Epoch  9, Batch   1759, Loss  0.863901, Average Loss  0.868421, Time  0.265163
2021-09-16 18:12:59.751248 : Epoch  9, Batch   1760, Loss  0.883747, Average Loss  0.868392, Time  0.264413
2021-09-16 18:13:02.766896 : Epoch  9, Batch   1761, Loss  0.873277, Average Loss  0.868529, Time  0.275856
2021-09-16 18:13:05.734968 : Epoch  9, Batch   1762, Loss  0.874476, Average Loss  0.868510, Time  0.264183
2021-09-16 18:13:08.702031 : Epoch  9, Batch   1763, Loss  0.846704, Average Loss  0.868411, Time  0.264697
2021-09-16 18:13:11.698555 : Epoch  9, Batch   1764, Loss  0.867143, Average Loss  0.868393, Time  0.264645
2021-09-16 18:13:14.668974 : Epoch  9, Batch   1765, Loss  0.871291, Average Loss  0.868492, Time  0.264784
2021-09-16 18:13:17.666514 : Epoch  9, Batch   1766, Loss  0.870988, Average Loss  0.868498, Time  0.264970
2021-09-16 18:13:20.684449 : Epoch  9, Batch   1767, Loss  0.867721, Average Loss  0.868656, Time  0.264546
2021-09-16 18:13:23.691577 : Epoch  9, Batch   1768, Loss  0.866391, Average Loss  0.868740, Time  0.264557
2021-09-16 18:13:26.677077 : Epoch  9, Batch   1769, Loss  0.884358, Average Loss  0.868887, Time  0.265738
2021-09-16 18:13:29.676197 : Epoch  9, Batch   1770, Loss  0.861757, Average Loss  0.868858, Time  0.264057
2021-09-16 18:13:32.654591 : Epoch  9, Batch   1771, Loss  0.848011, Average Loss  0.868753, Time  0.265728
2021-09-16 18:13:35.626720 : Epoch  9, Batch   1772, Loss  0.863847, Average Loss  0.868608, Time  0.263903
2021-09-16 18:13:38.620115 : Epoch  9, Batch   1773, Loss  0.857744, Average Loss  0.868567, Time  0.264941
2021-09-16 18:13:41.624332 : Epoch  9, Batch   1774, Loss  0.865983, Average Loss  0.868600, Time  0.265283
2021-09-16 18:13:44.612277 : Epoch  9, Batch   1775, Loss  0.873915, Average Loss  0.868550, Time  0.264888
2021-09-16 18:13:47.614532 : Epoch  9, Batch   1776, Loss  0.863072, Average Loss  0.868577, Time  0.272637
2021-09-16 18:13:50.625007 : Epoch  9, Batch   1777, Loss  0.863484, Average Loss  0.868604, Time  0.265102
2021-09-16 18:13:53.617696 : Epoch  9, Batch   1778, Loss  0.863627, Average Loss  0.868650, Time  0.264169
2021-09-16 18:13:56.579776 : Epoch  9, Batch   1779, Loss  0.870821, Average Loss  0.868630, Time  0.264411
2021-09-16 18:13:59.568525 : Epoch  9, Batch   1780, Loss  0.869647, Average Loss  0.868779, Time  0.265900
2021-09-16 18:14:02.559939 : Epoch  9, Batch   1781, Loss  0.875202, Average Loss  0.868839, Time  0.264756
2021-09-16 18:14:05.551169 : Epoch  9, Batch   1782, Loss  0.895034, Average Loss  0.869016, Time  0.264570
2021-09-16 18:14:08.524401 : Epoch  9, Batch   1783, Loss  0.867650, Average Loss  0.868984, Time  0.264814
2021-09-16 18:14:11.510178 : Epoch  9, Batch   1784, Loss  0.880771, Average Loss  0.869057, Time  0.265069
2021-09-16 18:14:14.482426 : Epoch  9, Batch   1785, Loss  0.875056, Average Loss  0.869126, Time  0.264279
2021-09-16 18:14:17.463763 : Epoch  9, Batch   1786, Loss  0.876051, Average Loss  0.869137, Time  0.264951
2021-09-16 18:14:20.450963 : Epoch  9, Batch   1787, Loss  0.875146, Average Loss  0.869252, Time  0.263747
2021-09-16 18:14:23.445048 : Epoch  9, Batch   1788, Loss  0.877260, Average Loss  0.869322, Time  0.265558
2021-09-16 18:14:26.404618 : Epoch  9, Batch   1789, Loss  0.873068, Average Loss  0.869191, Time  0.264254
2021-09-16 18:14:29.360592 : Epoch  9, Batch   1790, Loss  0.871494, Average Loss  0.869097, Time  0.263640
2021-09-16 18:14:32.358146 : Epoch  9, Batch   1791, Loss  0.856958, Average Loss  0.869078, Time  0.274970
2021-09-16 18:14:35.360904 : Epoch  9, Batch   1792, Loss  0.873498, Average Loss  0.869165, Time  0.264304
2021-09-16 18:14:36.124677 : CheckPoint: Validation Loss  0.00029517, Best Loss  0.00029207
2021-09-16 18:14:38.350885 : Epoch  9, Batch   1793, Loss  0.874719, Average Loss  0.869138, Time  0.264830
2021-09-16 18:14:38.691995 : Epoch  8, Batch    709, Loss  0.873333, Average Loss  0.868604, Time  0.238559
2021-09-16 18:14:41.273074 : Epoch  8, Batch    710, Loss  0.865216, Average Loss  0.868620, Time  0.237603
2021-09-16 18:14:41.372098 : Epoch  9, Batch   1794, Loss  0.860268, Average Loss  0.868982, Time  0.264817
2021-09-16 18:14:43.866848 : Epoch  8, Batch    711, Loss  0.872964, Average Loss  0.868622, Time  0.237290
2021-09-16 18:14:44.319964 : Epoch  9, Batch   1795, Loss  0.882614, Average Loss  0.869032, Time  0.264693
2021-09-16 18:14:46.460103 : Epoch  8, Batch    712, Loss  0.844168, Average Loss  0.868486, Time  0.237915
2021-09-16 18:14:47.279592 : Epoch  9, Batch   1796, Loss  0.886298, Average Loss  0.869098, Time  0.264617
2021-09-16 18:14:49.058939 : Epoch  8, Batch    713, Loss  0.868087, Average Loss  0.868416, Time  0.238547
2021-09-16 18:14:50.298229 : Epoch  9, Batch   1797, Loss  0.871441, Average Loss  0.869076, Time  0.264499
2021-09-16 18:14:51.660977 : Epoch  8, Batch    714, Loss  0.879204, Average Loss  0.868430, Time  0.237955
2021-09-16 18:14:53.317916 : Epoch  9, Batch   1798, Loss  0.874541, Average Loss  0.869072, Time  0.265098
2021-09-16 18:14:54.247182 : Epoch  8, Batch    715, Loss  0.863376, Average Loss  0.868472, Time  0.238251
2021-09-16 18:14:56.314844 : Epoch  9, Batch   1799, Loss  0.867578, Average Loss  0.869059, Time  0.265381
2021-09-16 18:14:56.842971 : Epoch  8, Batch    716, Loss  0.862724, Average Loss  0.868492, Time  0.237788
2021-09-16 18:14:59.293391 : Epoch  9, Batch   1800, Loss  0.862635, Average Loss  0.869087, Time  0.265233
2021-09-16 18:14:59.447688 : Epoch  8, Batch    717, Loss  0.858741, Average Loss  0.868367, Time  0.237744
2021-09-16 18:15:02.012113 : Epoch  8, Batch    718, Loss  0.871616, Average Loss  0.868381, Time  0.237985
2021-09-16 18:15:02.286776 : Epoch  9, Batch   1801, Loss  0.866711, Average Loss  0.869086, Time  0.265416
2021-09-16 18:15:04.609996 : Epoch  8, Batch    719, Loss  0.867894, Average Loss  0.868377, Time  0.237676
2021-09-16 18:15:05.233167 : Epoch  9, Batch   1802, Loss  0.864955, Average Loss  0.869171, Time  0.266255
2021-09-16 18:15:07.205910 : Epoch  8, Batch    720, Loss  0.865833, Average Loss  0.868222, Time  0.237343
2021-09-16 18:15:08.301096 : Epoch  9, Batch   1803, Loss  0.867322, Average Loss  0.869136, Time  0.266365
2021-09-16 18:15:09.795927 : Epoch  8, Batch    721, Loss  0.856166, Average Loss  0.868164, Time  0.237861
2021-09-16 18:15:11.301490 : Epoch  9, Batch   1804, Loss  0.845782, Average Loss  0.868917, Time  0.265282
2021-09-16 18:15:12.432937 : Epoch  8, Batch    722, Loss  0.861793, Average Loss  0.868121, Time  0.237813
2021-09-16 18:15:14.300881 : Epoch  9, Batch   1805, Loss  0.873616, Average Loss  0.869090, Time  0.265985
2021-09-16 18:15:15.023967 : Epoch  8, Batch    723, Loss  0.879354, Average Loss  0.868117, Time  0.238429
2021-09-16 18:15:17.325148 : Epoch  9, Batch   1806, Loss  0.867801, Average Loss  0.869037, Time  0.275444
2021-09-16 18:15:17.600901 : Epoch  8, Batch    724, Loss  0.863399, Average Loss  0.868209, Time  0.237511
2021-09-16 18:15:20.166043 : Epoch  8, Batch    725, Loss  0.869882, Average Loss  0.868197, Time  0.237812
2021-09-16 18:15:20.328246 : Epoch  9, Batch   1807, Loss  0.875007, Average Loss  0.869059, Time  0.263730
2021-09-16 18:15:22.753948 : Epoch  8, Batch    726, Loss  0.870443, Average Loss  0.868192, Time  0.237833
2021-09-16 18:15:23.281904 : Epoch  9, Batch   1808, Loss  0.846458, Average Loss  0.868993, Time  0.265087
2021-09-16 18:15:25.355039 : Epoch  8, Batch    727, Loss  0.865281, Average Loss  0.868219, Time  0.237807
2021-09-16 18:15:26.282193 : Epoch  9, Batch   1809, Loss  0.865505, Average Loss  0.868909, Time  0.264377
2021-09-16 18:15:27.954997 : Epoch  8, Batch    728, Loss  0.881859, Average Loss  0.868131, Time  0.237836
2021-09-16 18:15:29.270627 : Epoch  9, Batch   1810, Loss  0.875717, Average Loss  0.869077, Time  0.265109
2021-09-16 18:15:30.555800 : Epoch  8, Batch    729, Loss  0.890026, Average Loss  0.868215, Time  0.237827
2021-09-16 18:15:32.277572 : Epoch  9, Batch   1811, Loss  0.866697, Average Loss  0.869064, Time  0.264803
2021-09-16 18:15:33.154053 : Epoch  8, Batch    730, Loss  0.860326, Average Loss  0.868183, Time  0.237986
2021-09-16 18:15:35.291161 : Epoch  9, Batch   1812, Loss  0.866889, Average Loss  0.869141, Time  0.265503
2021-09-16 18:15:35.746017 : Epoch  8, Batch    731, Loss  0.863630, Average Loss  0.868180, Time  0.237953
2021-09-16 18:15:38.275448 : Epoch  9, Batch   1813, Loss  0.866289, Average Loss  0.869072, Time  0.264891
2021-09-16 18:15:38.326703 : Epoch  8, Batch    732, Loss  0.866212, Average Loss  0.868213, Time  0.237591
2021-09-16 18:15:40.913885 : Epoch  8, Batch    733, Loss  0.861329, Average Loss  0.868068, Time  0.237818
2021-09-16 18:15:41.297824 : Epoch  9, Batch   1814, Loss  0.867363, Average Loss  0.868984, Time  0.265674
2021-09-16 18:15:43.500971 : Epoch  8, Batch    734, Loss  0.852393, Average Loss  0.868012, Time  0.237682
2021-09-16 18:15:44.299431 : Epoch  9, Batch   1815, Loss  0.875812, Average Loss  0.869046, Time  0.267409
2021-09-16 18:15:46.096697 : Epoch  8, Batch    735, Loss  0.880670, Average Loss  0.868075, Time  0.237944
2021-09-16 18:15:47.286614 : Epoch  9, Batch   1816, Loss  0.868500, Average Loss  0.868983, Time  0.263591
2021-09-16 18:15:48.691109 : Epoch  8, Batch    736, Loss  0.873711, Average Loss  0.867976, Time  0.238338
2021-09-16 18:15:50.294634 : Epoch  9, Batch   1817, Loss  0.875421, Average Loss  0.869095, Time  0.264447
2021-09-16 18:15:51.274039 : Epoch  8, Batch    737, Loss  0.856143, Average Loss  0.867834, Time  0.238056
2021-09-16 18:15:53.282038 : Epoch  9, Batch   1818, Loss  0.856756, Average Loss  0.869103, Time  0.265540
2021-09-16 18:15:53.869930 : Epoch  8, Batch    738, Loss  0.874799, Average Loss  0.867872, Time  0.238073
2021-09-16 18:15:56.281312 : Epoch  9, Batch   1819, Loss  0.867185, Average Loss  0.868980, Time  0.263844
2021-09-16 18:15:56.468714 : Epoch  8, Batch    739, Loss  0.873765, Average Loss  0.867950, Time  0.237791
2021-09-16 18:15:59.054890 : Epoch  8, Batch    740, Loss  0.865348, Average Loss  0.867863, Time  0.237577
2021-09-16 18:15:59.233651 : Epoch  9, Batch   1820, Loss  0.843267, Average Loss  0.868831, Time  0.263856
2021-09-16 18:16:01.643691 : Epoch  8, Batch    741, Loss  0.848310, Average Loss  0.867878, Time  0.238361
2021-09-16 18:16:02.211839 : Epoch  9, Batch   1821, Loss  0.868227, Average Loss  0.868762, Time  0.275753
2021-09-16 18:16:04.232909 : Epoch  8, Batch    742, Loss  0.851494, Average Loss  0.867714, Time  0.238171
2021-09-16 18:16:05.197009 : Epoch  9, Batch   1822, Loss  0.852853, Average Loss  0.868737, Time  0.264627
2021-09-16 18:16:06.817012 : Epoch  8, Batch    743, Loss  0.850053, Average Loss  0.867715, Time  0.237735
2021-09-16 18:16:08.190673 : Epoch  9, Batch   1823, Loss  0.872848, Average Loss  0.868722, Time  0.264338
2021-09-16 18:16:09.417988 : Epoch  8, Batch    744, Loss  0.863175, Average Loss  0.867552, Time  0.238106
2021-09-16 18:16:11.144818 : Epoch  9, Batch   1824, Loss  0.850628, Average Loss  0.868641, Time  0.264476
2021-09-16 18:16:12.009972 : Epoch  8, Batch    745, Loss  0.879567, Average Loss  0.867672, Time  0.237529
2021-09-16 18:16:14.134434 : Epoch  9, Batch   1825, Loss  0.871946, Average Loss  0.868681, Time  0.266583
2021-09-16 18:16:14.600989 : Epoch  8, Batch    746, Loss  0.871346, Average Loss  0.867716, Time  0.237588
2021-09-16 18:16:17.164198 : Epoch  9, Batch   1826, Loss  0.854182, Average Loss  0.868621, Time  0.265541
2021-09-16 18:16:17.181669 : Epoch  8, Batch    747, Loss  0.873960, Average Loss  0.867750, Time  0.237324
2021-09-16 18:16:19.776167 : Epoch  8, Batch    748, Loss  0.875786, Average Loss  0.867788, Time  0.237685
2021-09-16 18:16:20.134559 : Epoch  9, Batch   1827, Loss  0.870246, Average Loss  0.868685, Time  0.264706
2021-09-16 18:16:22.360966 : Epoch  8, Batch    749, Loss  0.859177, Average Loss  0.867761, Time  0.237756
2021-09-16 18:16:23.087995 : Epoch  9, Batch   1828, Loss  0.874432, Average Loss  0.868763, Time  0.263891
2021-09-16 18:16:24.947959 : Epoch  8, Batch    750, Loss  0.872867, Average Loss  0.867755, Time  0.237825
2021-09-16 18:16:26.070055 : Epoch  9, Batch   1829, Loss  0.868276, Average Loss  0.868817, Time  0.264466
2021-09-16 18:16:27.530028 : Epoch  8, Batch    751, Loss  0.862057, Average Loss  0.867727, Time  0.237722
2021-09-16 18:16:29.055391 : Epoch  9, Batch   1830, Loss  0.859500, Average Loss  0.868713, Time  0.265216
2021-09-16 18:16:30.109173 : Epoch  8, Batch    752, Loss  0.876174, Average Loss  0.867797, Time  0.237700
2021-09-16 18:16:32.052116 : Epoch  9, Batch   1831, Loss  0.869238, Average Loss  0.868719, Time  0.264942
2021-09-16 18:16:32.692792 : Epoch  8, Batch    753, Loss  0.866550, Average Loss  0.867809, Time  0.237731
2021-09-16 18:16:35.014771 : Epoch  9, Batch   1832, Loss  0.856434, Average Loss  0.868689, Time  0.264843
2021-09-16 18:16:35.358877 : Epoch  8, Batch    754, Loss  0.867400, Average Loss  0.867750, Time  0.237725
2021-09-16 18:16:37.938202 : Epoch  8, Batch    755, Loss  0.863228, Average Loss  0.867715, Time  0.237733
2021-09-16 18:16:38.011760 : Epoch  9, Batch   1833, Loss  0.880690, Average Loss  0.868811, Time  0.264140
2021-09-16 18:16:40.522684 : Epoch  8, Batch    756, Loss  0.854999, Average Loss  0.867617, Time  0.237996
2021-09-16 18:16:40.958037 : Epoch  9, Batch   1834, Loss  0.860821, Average Loss  0.868774, Time  0.264332
2021-09-16 18:16:43.109013 : Epoch  8, Batch    757, Loss  0.846457, Average Loss  0.867479, Time  0.237620
2021-09-16 18:16:43.910355 : Epoch  9, Batch   1835, Loss  0.845594, Average Loss  0.868686, Time  0.263971
2021-09-16 18:16:45.694900 : Epoch  8, Batch    758, Loss  0.863351, Average Loss  0.867420, Time  0.237648
2021-09-16 18:16:46.897910 : Epoch  9, Batch   1836, Loss  0.869650, Average Loss  0.868687, Time  0.275967
2021-09-16 18:16:48.295950 : Epoch  8, Batch    759, Loss  0.844882, Average Loss  0.867217, Time  0.237504
2021-09-16 18:16:49.898324 : Epoch  9, Batch   1837, Loss  0.883383, Average Loss  0.868796, Time  0.265418
2021-09-16 18:16:50.885036 : Epoch  8, Batch    760, Loss  0.850019, Average Loss  0.867189, Time  0.238663
2021-09-16 18:16:52.905899 : Epoch  9, Batch   1838, Loss  0.851317, Average Loss  0.868782, Time  0.264642
2021-09-16 18:16:53.470977 : Epoch  8, Batch    761, Loss  0.872553, Average Loss  0.867178, Time  0.237983
2021-09-16 18:16:55.877799 : Epoch  9, Batch   1839, Loss  0.845254, Average Loss  0.868676, Time  0.265001
2021-09-16 18:16:56.061737 : Epoch  8, Batch    762, Loss  0.872731, Average Loss  0.867122, Time  0.238435
2021-09-16 18:16:58.647970 : Epoch  8, Batch    763, Loss  0.870329, Average Loss  0.867157, Time  0.237809
2021-09-16 18:16:58.886896 : Epoch  9, Batch   1840, Loss  0.875261, Average Loss  0.868658, Time  0.265111
2021-09-16 18:17:01.262744 : Epoch  8, Batch    764, Loss  0.875760, Average Loss  0.867101, Time  0.238025
2021-09-16 18:17:01.858476 : Epoch  9, Batch   1841, Loss  0.872659, Average Loss  0.868706, Time  0.264769
2021-09-16 18:17:03.867923 : Epoch  8, Batch    765, Loss  0.870082, Average Loss  0.867240, Time  0.238059
2021-09-16 18:17:04.826402 : Epoch  9, Batch   1842, Loss  0.867219, Average Loss  0.868697, Time  0.264325
2021-09-16 18:17:06.458886 : Epoch  8, Batch    766, Loss  0.856479, Average Loss  0.867080, Time  0.237747
2021-09-16 18:17:07.810279 : Epoch  9, Batch   1843, Loss  0.887575, Average Loss  0.868759, Time  0.265251
2021-09-16 18:17:09.044178 : Epoch  8, Batch    767, Loss  0.851825, Average Loss  0.867188, Time  0.237937
2021-09-16 18:17:10.783827 : Epoch  9, Batch   1844, Loss  0.867608, Average Loss  0.868738, Time  0.264510
2021-09-16 18:17:11.625906 : Epoch  8, Batch    768, Loss  0.884189, Average Loss  0.867316, Time  0.238537
2021-09-16 18:17:13.759887 : Epoch  9, Batch   1845, Loss  0.871831, Average Loss  0.868748, Time  0.264348
2021-09-16 18:17:14.204724 : Epoch  8, Batch    769, Loss  0.895307, Average Loss  0.867553, Time  0.237458
2021-09-16 18:17:16.727042 : Epoch  9, Batch   1846, Loss  0.846732, Average Loss  0.868593, Time  0.263927
2021-09-16 18:17:16.782920 : Epoch  8, Batch    770, Loss  0.862668, Average Loss  0.867489, Time  0.237366
2021-09-16 18:17:19.365146 : Epoch  8, Batch    771, Loss  0.862981, Average Loss  0.867414, Time  0.237900
2021-09-16 18:17:19.690270 : Epoch  9, Batch   1847, Loss  0.881131, Average Loss  0.868668, Time  0.265101
2021-09-16 18:17:21.954195 : Epoch  8, Batch    772, Loss  0.877650, Average Loss  0.867481, Time  0.237736
2021-09-16 18:17:22.628020 : Epoch  9, Batch   1848, Loss  0.862417, Average Loss  0.868595, Time  0.263981
2021-09-16 18:17:24.546248 : Epoch  8, Batch    773, Loss  0.866148, Average Loss  0.867360, Time  0.237688
2021-09-16 18:17:25.580135 : Epoch  9, Batch   1849, Loss  0.886861, Average Loss  0.868612, Time  0.265361
2021-09-16 18:17:27.149989 : Epoch  8, Batch    774, Loss  0.874967, Average Loss  0.867426, Time  0.237645
2021-09-16 18:17:28.545664 : Epoch  9, Batch   1850, Loss  0.872765, Average Loss  0.868656, Time  0.265362
2021-09-16 18:17:29.740735 : Epoch  8, Batch    775, Loss  0.845729, Average Loss  0.867380, Time  0.237705
2021-09-16 18:17:31.538727 : Epoch  9, Batch   1851, Loss  0.866812, Average Loss  0.868662, Time  0.264380
2021-09-16 18:17:32.324733 : Epoch  8, Batch    776, Loss  0.872105, Average Loss  0.867479, Time  0.237684
2021-09-16 18:17:34.534194 : Epoch  9, Batch   1852, Loss  0.872981, Average Loss  0.868673, Time  0.273669
2021-09-16 18:17:34.906902 : Epoch  8, Batch    777, Loss  0.867327, Average Loss  0.867657, Time  0.237487
2021-09-16 18:17:37.479979 : Epoch  8, Batch    778, Loss  0.872400, Average Loss  0.867805, Time  0.238194
2021-09-16 18:17:40.074258 : Epoch  8, Batch    779, Loss  0.856723, Average Loss  0.867861, Time  0.238033
2021-09-16 18:17:42.658660 : Epoch  8, Batch    780, Loss  0.866393, Average Loss  0.867775, Time  0.237619
2021-09-16 18:17:45.242183 : Epoch  8, Batch    781, Loss  0.838907, Average Loss  0.867554, Time  0.237690
2021-09-16 18:17:47.835142 : Epoch  8, Batch    782, Loss  0.891172, Average Loss  0.867660, Time  0.237698
2021-09-16 18:17:50.416907 : Epoch  8, Batch    783, Loss  0.888378, Average Loss  0.867854, Time  0.238652
2021-09-16 18:17:52.999911 : Epoch  8, Batch    784, Loss  0.887246, Average Loss  0.867959, Time  0.237645
2021-09-16 18:17:55.588164 : Epoch  8, Batch    785, Loss  0.884088, Average Loss  0.868023, Time  0.238063
2021-09-16 18:17:58.178049 : Epoch  8, Batch    786, Loss  0.881282, Average Loss  0.868119, Time  0.238404
2021-09-16 18:18:00.765112 : Epoch  8, Batch    787, Loss  0.861185, Average Loss  0.868048, Time  0.237563
2021-09-16 18:18:03.350964 : Epoch  8, Batch    788, Loss  0.851345, Average Loss  0.868035, Time  0.237769
2021-09-16 18:18:05.956032 : Epoch  8, Batch    789, Loss  0.855543, Average Loss  0.867919, Time  0.237767
2021-09-16 18:18:08.546765 : Epoch  8, Batch    790, Loss  0.880499, Average Loss  0.868110, Time  0.237669
2021-09-16 18:18:11.176722 : Epoch  8, Batch    791, Loss  0.880992, Average Loss  0.868169, Time  0.237976
2021-09-16 18:18:13.783109 : Epoch  8, Batch    792, Loss  0.896368, Average Loss  0.868389, Time  0.237332
2021-09-16 18:18:16.367106 : Epoch  8, Batch    793, Loss  0.866483, Average Loss  0.868427, Time  0.237836
2021-09-16 18:18:18.952865 : Epoch  8, Batch    794, Loss  0.872754, Average Loss  0.868565, Time  0.237853
2021-09-16 18:18:21.543903 : Epoch  8, Batch    795, Loss  0.870997, Average Loss  0.868546, Time  0.237541
2021-09-16 18:18:24.135045 : Epoch  8, Batch    796, Loss  0.862786, Average Loss  0.868376, Time  0.237689
2021-09-16 18:18:26.718932 : Epoch  8, Batch    797, Loss  0.873544, Average Loss  0.868290, Time  0.237748
2021-09-16 18:18:29.328245 : Epoch  8, Batch    798, Loss  0.855357, Average Loss  0.868142, Time  0.237967
2021-09-16 18:18:31.902930 : Epoch  8, Batch    799, Loss  0.880010, Average Loss  0.868208, Time  0.237921
2021-09-16 18:18:34.494867 : Epoch  8, Batch    800, Loss  0.849563, Average Loss  0.868099, Time  0.237806
2021-09-16 18:18:37.075791 : Epoch  8, Batch    801, Loss  0.866335, Average Loss  0.868068, Time  0.237399
2021-09-16 18:18:39.669904 : Epoch  8, Batch    802, Loss  0.859495, Average Loss  0.868136, Time  0.237747
2021-09-16 18:18:42.259744 : Epoch  8, Batch    803, Loss  0.869605, Average Loss  0.868166, Time  0.237995
2021-09-16 18:18:44.850025 : Epoch  8, Batch    804, Loss  0.867441, Average Loss  0.868059, Time  0.237665
2021-09-16 18:18:47.441720 : Epoch  8, Batch    805, Loss  0.881337, Average Loss  0.868092, Time  0.237476
2021-09-16 18:18:50.039875 : Epoch  8, Batch    806, Loss  0.876876, Average Loss  0.868096, Time  0.238800
2021-09-16 18:18:52.622881 : Epoch  8, Batch    807, Loss  0.877769, Average Loss  0.868071, Time  0.237836
2021-09-16 18:18:55.210001 : Epoch  8, Batch    808, Loss  0.870723, Average Loss  0.867975, Time  0.238228
2021-09-16 18:22:09.621502 : CheckPoint: Validation Loss  0.00029313, Best Loss  0.00029014
2021-09-16 18:22:12.593095 : Epoch  9, Batch   1853, Loss  0.881491, Average Loss  0.868720, Time  0.274345
2021-09-16 18:22:15.562723 : Epoch  9, Batch   1854, Loss  0.865452, Average Loss  0.868738, Time  0.263998
2021-09-16 18:22:18.563883 : Epoch  9, Batch   1855, Loss  0.888913, Average Loss  0.868777, Time  0.264117
2021-09-16 18:22:21.558372 : Epoch  9, Batch   1856, Loss  0.886893, Average Loss  0.868854, Time  0.264282
2021-09-16 18:22:21.595694 : Saving Model after 9-th Epoch.
2021-09-16 18:22:22.538503 : Epoch Finished.
2021-09-16 18:22:28.235363 : Batch Shuffled
2021-09-16 18:22:31.264869 : Epoch 10, Batch      1, Loss  0.889685, Average Loss  0.868990, Time  0.265582
2021-09-16 18:22:34.270454 : Epoch 10, Batch      2, Loss  0.873498, Average Loss  0.868996, Time  0.264442
2021-09-16 18:22:37.230812 : Epoch 10, Batch      3, Loss  0.860937, Average Loss  0.869013, Time  0.264772
2021-09-16 18:22:40.240702 : Epoch 10, Batch      4, Loss  0.864348, Average Loss  0.869017, Time  0.264827
2021-09-16 18:22:43.208466 : Epoch 10, Batch      5, Loss  0.846431, Average Loss  0.868957, Time  0.264983
2021-09-16 18:22:46.188501 : Epoch 10, Batch      6, Loss  0.864679, Average Loss  0.868727, Time  0.264445
2021-09-16 18:22:49.165306 : Epoch 10, Batch      7, Loss  0.848568, Average Loss  0.868613, Time  0.263853
2021-09-16 18:22:52.246803 : Epoch 10, Batch      8, Loss  0.857406, Average Loss  0.868529, Time  0.264274
2021-09-16 18:22:53.476684 : CheckPoint: Validation Loss  0.00029409, Best Loss  0.00029207
2021-09-16 18:22:55.272187 : Epoch 10, Batch      9, Loss  0.881764, Average Loss  0.868628, Time  0.271046
2021-09-16 18:22:56.041675 : Epoch  8, Batch    809, Loss  0.879486, Average Loss  0.868142, Time  0.238903
2021-09-16 18:22:58.261914 : Epoch 10, Batch     10, Loss  0.867621, Average Loss  0.868564, Time  0.264260
2021-09-16 18:22:58.595149 : Epoch  8, Batch    810, Loss  0.867903, Average Loss  0.868175, Time  0.237499
2021-09-16 18:23:01.171937 : Epoch  8, Batch    811, Loss  0.873757, Average Loss  0.868136, Time  0.237931
2021-09-16 18:23:01.305252 : Epoch 10, Batch     11, Loss  0.857484, Average Loss  0.868522, Time  0.263802
2021-09-16 18:23:03.738768 : Epoch  8, Batch    812, Loss  0.861080, Average Loss  0.868178, Time  0.238750
2021-09-16 18:23:04.294926 : Epoch 10, Batch     12, Loss  0.886146, Average Loss  0.868715, Time  0.265506
2021-09-16 18:23:06.302974 : Epoch  8, Batch    813, Loss  0.875322, Average Loss  0.868262, Time  0.237925
2021-09-16 18:23:07.290931 : Epoch 10, Batch     13, Loss  0.884391, Average Loss  0.868763, Time  0.265399
2021-09-16 18:23:08.870911 : Epoch  8, Batch    814, Loss  0.856066, Average Loss  0.868189, Time  0.237394
2021-09-16 18:23:10.271543 : Epoch 10, Batch     14, Loss  0.873933, Average Loss  0.868677, Time  0.264468
2021-09-16 18:23:11.430861 : Epoch  8, Batch    815, Loss  0.881871, Average Loss  0.868278, Time  0.237755
2021-09-16 18:23:13.252304 : Epoch 10, Batch     15, Loss  0.887197, Average Loss  0.868739, Time  0.265500
2021-09-16 18:23:14.000916 : Epoch  8, Batch    816, Loss  0.841489, Average Loss  0.868112, Time  0.237654
2021-09-16 18:23:16.246644 : Epoch 10, Batch     16, Loss  0.865452, Average Loss  0.868680, Time  0.264408
2021-09-16 18:23:16.561384 : Epoch  8, Batch    817, Loss  0.847746, Average Loss  0.867961, Time  0.237490
2021-09-16 18:23:19.117964 : Epoch  8, Batch    818, Loss  0.858833, Average Loss  0.868021, Time  0.237774
2021-09-16 18:23:19.223908 : Epoch 10, Batch     17, Loss  0.850395, Average Loss  0.868557, Time  0.264373
2021-09-16 18:23:21.680212 : Epoch  8, Batch    819, Loss  0.866016, Average Loss  0.867945, Time  0.237577
2021-09-16 18:23:22.192430 : Epoch 10, Batch     18, Loss  0.855311, Average Loss  0.868534, Time  0.263708
2021-09-16 18:23:24.248722 : Epoch  8, Batch    820, Loss  0.865697, Average Loss  0.867858, Time  0.237403
2021-09-16 18:23:25.164778 : Epoch 10, Batch     19, Loss  0.867123, Average Loss  0.868599, Time  0.265307
2021-09-16 18:23:26.811989 : Epoch  8, Batch    821, Loss  0.866441, Average Loss  0.867851, Time  0.238883
2021-09-16 18:23:28.162035 : Epoch 10, Batch     20, Loss  0.875408, Average Loss  0.868666, Time  0.264823
2021-09-16 18:23:29.373914 : Epoch  8, Batch    822, Loss  0.870501, Average Loss  0.867810, Time  0.237501
2021-09-16 18:23:31.175915 : Epoch 10, Batch     21, Loss  0.875074, Average Loss  0.868767, Time  0.265513
2021-09-16 18:23:31.954349 : Epoch  8, Batch    823, Loss  0.885302, Average Loss  0.867822, Time  0.239712
2021-09-16 18:23:34.177822 : Epoch 10, Batch     22, Loss  0.876931, Average Loss  0.868788, Time  0.264522
2021-09-16 18:23:34.515096 : Epoch  8, Batch    824, Loss  0.883550, Average Loss  0.867805, Time  0.237468
2021-09-16 18:23:37.064936 : Epoch  8, Batch    825, Loss  0.876416, Average Loss  0.867906, Time  0.237725
2021-09-16 18:23:37.167385 : Epoch 10, Batch     23, Loss  0.863823, Average Loss  0.868828, Time  0.263829
2021-09-16 18:23:39.629027 : Epoch  8, Batch    826, Loss  0.864597, Average Loss  0.867836, Time  0.237800
2021-09-16 18:23:40.166865 : Epoch 10, Batch     24, Loss  0.885543, Average Loss  0.868878, Time  0.277735
2021-09-16 18:23:42.197826 : Epoch  8, Batch    827, Loss  0.866785, Average Loss  0.867863, Time  0.238795
2021-09-16 18:23:43.152791 : Epoch 10, Batch     25, Loss  0.861047, Average Loss  0.868769, Time  0.264115
2021-09-16 18:23:44.765948 : Epoch  8, Batch    828, Loss  0.877590, Average Loss  0.867935, Time  0.238385
2021-09-16 18:23:46.170381 : Epoch 10, Batch     26, Loss  0.872462, Average Loss  0.868938, Time  0.263978
2021-09-16 18:23:47.323699 : Epoch  8, Batch    829, Loss  0.867902, Average Loss  0.867961, Time  0.238144
2021-09-16 18:23:49.156826 : Epoch 10, Batch     27, Loss  0.892379, Average Loss  0.869026, Time  0.265443
2021-09-16 18:23:49.910173 : Epoch  8, Batch    830, Loss  0.873719, Average Loss  0.867932, Time  0.237688
2021-09-16 18:23:52.164975 : Epoch 10, Batch     28, Loss  0.888360, Average Loss  0.869209, Time  0.264100
2021-09-16 18:23:52.466972 : Epoch  8, Batch    831, Loss  0.864835, Average Loss  0.867868, Time  0.237717
2021-09-16 18:23:55.010785 : Epoch  8, Batch    832, Loss  0.887712, Average Loss  0.867997, Time  0.237620
2021-09-16 18:23:55.142800 : Epoch 10, Batch     29, Loss  0.865454, Average Loss  0.869152, Time  0.263584
2021-09-16 18:23:57.569910 : Epoch  8, Batch    833, Loss  0.859066, Average Loss  0.867870, Time  0.237598
2021-09-16 18:23:58.100068 : Epoch 10, Batch     30, Loss  0.845406, Average Loss  0.869057, Time  0.264844
2021-09-16 18:24:00.126165 : Epoch  8, Batch    834, Loss  0.881944, Average Loss  0.867827, Time  0.237315
2021-09-16 18:24:01.129959 : Epoch 10, Batch     31, Loss  0.864218, Average Loss  0.869110, Time  0.265366
2021-09-16 18:24:02.681329 : Epoch  8, Batch    835, Loss  0.896326, Average Loss  0.868063, Time  0.237704
2021-09-16 18:24:04.140530 : Epoch 10, Batch     32, Loss  0.861305, Average Loss  0.869063, Time  0.264574
2021-09-16 18:24:05.237744 : Epoch  8, Batch    836, Loss  0.872285, Average Loss  0.868087, Time  0.237680
2021-09-16 18:24:07.123599 : Epoch 10, Batch     33, Loss  0.851110, Average Loss  0.868960, Time  0.264361
2021-09-16 18:24:07.798932 : Epoch  8, Batch    837, Loss  0.883257, Average Loss  0.868175, Time  0.237738
2021-09-16 18:24:10.096356 : Epoch 10, Batch     34, Loss  0.880942, Average Loss  0.868975, Time  0.264982
2021-09-16 18:24:10.363259 : Epoch  8, Batch    838, Loss  0.856456, Average Loss  0.868224, Time  0.237824
2021-09-16 18:24:12.912127 : Epoch  8, Batch    839, Loss  0.877479, Average Loss  0.868281, Time  0.237588
2021-09-16 18:24:13.086805 : Epoch 10, Batch     35, Loss  0.866260, Average Loss  0.868984, Time  0.264135
2021-09-16 18:24:15.475940 : Epoch  8, Batch    840, Loss  0.851792, Average Loss  0.868208, Time  0.237691
2021-09-16 18:24:16.073507 : Epoch 10, Batch     36, Loss  0.867046, Average Loss  0.868854, Time  0.264281
2021-09-16 18:24:18.040801 : Epoch  8, Batch    841, Loss  0.858759, Average Loss  0.868098, Time  0.237765
2021-09-16 18:24:19.081732 : Epoch 10, Batch     37, Loss  0.845876, Average Loss  0.868759, Time  0.264078
2021-09-16 18:24:20.600108 : Epoch  8, Batch    842, Loss  0.860656, Average Loss  0.867954, Time  0.237702
2021-09-16 18:24:22.053671 : Epoch 10, Batch     38, Loss  0.878375, Average Loss  0.868905, Time  0.263911
2021-09-16 18:24:23.160664 : Epoch  8, Batch    843, Loss  0.876418, Average Loss  0.867964, Time  0.237861
2021-09-16 18:24:25.041942 : Epoch 10, Batch     39, Loss  0.901171, Average Loss  0.869074, Time  0.278306
2021-09-16 18:24:25.727665 : Epoch  8, Batch    844, Loss  0.885623, Average Loss  0.868091, Time  0.238085
2021-09-16 18:24:28.013952 : Epoch 10, Batch     40, Loss  0.867417, Average Loss  0.868998, Time  0.264573
2021-09-16 18:24:28.288990 : Epoch  8, Batch    845, Loss  0.859517, Average Loss  0.868043, Time  0.238797
2021-09-16 18:24:30.836873 : Epoch  8, Batch    846, Loss  0.860901, Average Loss  0.868123, Time  0.237398
2021-09-16 18:24:31.009252 : Epoch 10, Batch     41, Loss  0.869414, Average Loss  0.869006, Time  0.264847
2021-09-16 18:24:33.393997 : Epoch  8, Batch    847, Loss  0.845805, Average Loss  0.868018, Time  0.238579
2021-09-16 18:24:33.983260 : Epoch 10, Batch     42, Loss  0.853253, Average Loss  0.868947, Time  0.264882
2021-09-16 18:24:35.954880 : Epoch  8, Batch    848, Loss  0.864813, Average Loss  0.867917, Time  0.237720
2021-09-16 18:24:36.978532 : Epoch 10, Batch     43, Loss  0.885681, Average Loss  0.869132, Time  0.264565
2021-09-16 18:24:38.511724 : Epoch  8, Batch    849, Loss  0.883530, Average Loss  0.867918, Time  0.237731
2021-09-16 18:24:39.950172 : Epoch 10, Batch     44, Loss  0.861814, Average Loss  0.869094, Time  0.264972
2021-09-16 18:24:41.076680 : Epoch  8, Batch    850, Loss  0.866947, Average Loss  0.867868, Time  0.238022
2021-09-16 18:24:42.925226 : Epoch 10, Batch     45, Loss  0.880201, Average Loss  0.869107, Time  0.264076
2021-09-16 18:24:43.636269 : Epoch  8, Batch    851, Loss  0.886965, Average Loss  0.868032, Time  0.237796
2021-09-16 18:24:45.896791 : Epoch 10, Batch     46, Loss  0.871439, Average Loss  0.869060, Time  0.263799
2021-09-16 18:24:46.193706 : Epoch  8, Batch    852, Loss  0.887141, Average Loss  0.868073, Time  0.237733
2021-09-16 18:24:48.741861 : Epoch  8, Batch    853, Loss  0.863251, Average Loss  0.868176, Time  0.237576
2021-09-16 18:24:48.867386 : Epoch 10, Batch     47, Loss  0.847171, Average Loss  0.868923, Time  0.263916
2021-09-16 18:24:51.290210 : Epoch  8, Batch    854, Loss  0.854996, Average Loss  0.868112, Time  0.237845
2021-09-16 18:24:51.848975 : Epoch 10, Batch     48, Loss  0.867030, Average Loss  0.868979, Time  0.264116
2021-09-16 18:24:53.843168 : Epoch  8, Batch    855, Loss  0.877449, Average Loss  0.868204, Time  0.238326
2021-09-16 18:24:54.834684 : Epoch 10, Batch     49, Loss  0.893841, Average Loss  0.869036, Time  0.264261
2021-09-16 18:24:56.402800 : Epoch  8, Batch    856, Loss  0.867306, Average Loss  0.868282, Time  0.237431
2021-09-16 18:24:57.816375 : Epoch 10, Batch     50, Loss  0.870481, Average Loss  0.869049, Time  0.265182
2021-09-16 18:24:58.957917 : Epoch  8, Batch    857, Loss  0.860289, Average Loss  0.868270, Time  0.237533
2021-09-16 18:25:00.790961 : Epoch 10, Batch     51, Loss  0.879439, Average Loss  0.869021, Time  0.264060
2021-09-16 18:25:01.532933 : Epoch  8, Batch    858, Loss  0.881751, Average Loss  0.868241, Time  0.238284
2021-09-16 18:25:03.770721 : Epoch 10, Batch     52, Loss  0.873467, Average Loss  0.868998, Time  0.265550
2021-09-16 18:25:04.100797 : Epoch  8, Batch    859, Loss  0.870332, Average Loss  0.868203, Time  0.237969
2021-09-16 18:25:06.658761 : Epoch  8, Batch    860, Loss  0.869790, Average Loss  0.868241, Time  0.237984
2021-09-16 18:25:06.760945 : Epoch 10, Batch     53, Loss  0.854097, Average Loss  0.868964, Time  0.265164
2021-09-16 18:25:09.224930 : Epoch  8, Batch    861, Loss  0.853953, Average Loss  0.868210, Time  0.237600
2021-09-16 18:25:09.789651 : Epoch 10, Batch     54, Loss  0.872707, Average Loss  0.869010, Time  0.265620
2021-09-16 18:25:11.786676 : Epoch  8, Batch    862, Loss  0.860923, Average Loss  0.868179, Time  0.237556
2021-09-16 18:25:12.788294 : Epoch 10, Batch     55, Loss  0.859328, Average Loss  0.868979, Time  0.273647
2021-09-16 18:25:14.345737 : Epoch  8, Batch    863, Loss  0.883874, Average Loss  0.868256, Time  0.237683
2021-09-16 18:25:15.787469 : Epoch 10, Batch     56, Loss  0.866457, Average Loss  0.869016, Time  0.264761
2021-09-16 18:25:16.910890 : Epoch  8, Batch    864, Loss  0.890050, Average Loss  0.868388, Time  0.237546
2021-09-16 18:25:18.769534 : Epoch 10, Batch     57, Loss  0.858908, Average Loss  0.869001, Time  0.263937
2021-09-16 18:25:19.482280 : Epoch  8, Batch    865, Loss  0.869935, Average Loss  0.868356, Time  0.237920
2021-09-16 18:25:21.744282 : Epoch 10, Batch     58, Loss  0.861540, Average Loss  0.868990, Time  0.264320
2021-09-16 18:25:22.048689 : Epoch  8, Batch    866, Loss  0.882925, Average Loss  0.868475, Time  0.237890
2021-09-16 18:25:24.609863 : Epoch  8, Batch    867, Loss  0.855276, Average Loss  0.868487, Time  0.238051
2021-09-16 18:25:24.738931 : Epoch 10, Batch     59, Loss  0.880169, Average Loss  0.868973, Time  0.264602
2021-09-16 18:25:27.171742 : Epoch  8, Batch    868, Loss  0.854038, Average Loss  0.868448, Time  0.238949
2021-09-16 18:25:27.720732 : Epoch 10, Batch     60, Loss  0.870812, Average Loss  0.869044, Time  0.264516
2021-09-16 18:25:29.727032 : Epoch  8, Batch    869, Loss  0.875963, Average Loss  0.868450, Time  0.237707
2021-09-16 18:25:30.716564 : Epoch 10, Batch     61, Loss  0.860115, Average Loss  0.868891, Time  0.265059
2021-09-16 18:25:32.288152 : Epoch  8, Batch    870, Loss  0.872419, Average Loss  0.868479, Time  0.238616
2021-09-16 18:25:33.689750 : Epoch 10, Batch     62, Loss  0.857622, Average Loss  0.868773, Time  0.263826
2021-09-16 18:25:34.848726 : Epoch  8, Batch    871, Loss  0.856214, Average Loss  0.868303, Time  0.237569
2021-09-16 18:25:36.675793 : Epoch 10, Batch     63, Loss  0.842334, Average Loss  0.868601, Time  0.264831
2021-09-16 18:25:37.419000 : Epoch  8, Batch    872, Loss  0.861045, Average Loss  0.868345, Time  0.237748
2021-09-16 18:25:39.679163 : Epoch 10, Batch     64, Loss  0.879820, Average Loss  0.868687, Time  0.264716
2021-09-16 18:25:39.980921 : Epoch  8, Batch    873, Loss  0.862676, Average Loss  0.868293, Time  0.237777
2021-09-16 18:25:42.532896 : Epoch  8, Batch    874, Loss  0.859372, Average Loss  0.868175, Time  0.237657
2021-09-16 18:25:42.664453 : Epoch 10, Batch     65, Loss  0.886001, Average Loss  0.868757, Time  0.263999
2021-09-16 18:25:45.092693 : Epoch  8, Batch    875, Loss  0.878272, Average Loss  0.868204, Time  0.237895
2021-09-16 18:25:45.621282 : Epoch 10, Batch     66, Loss  0.870032, Average Loss  0.868734, Time  0.264312
2021-09-16 18:25:47.652969 : Epoch  8, Batch    876, Loss  0.854314, Average Loss  0.868118, Time  0.237636
2021-09-16 18:25:48.598513 : Epoch 10, Batch     67, Loss  0.868872, Average Loss  0.868644, Time  0.264214
2021-09-16 18:25:50.208750 : Epoch  8, Batch    877, Loss  0.860921, Average Loss  0.868136, Time  0.237560
2021-09-16 18:25:51.562614 : Epoch 10, Batch     68, Loss  0.849271, Average Loss  0.868467, Time  0.264256
2021-09-16 18:25:52.766151 : Epoch  8, Batch    878, Loss  0.853267, Average Loss  0.867905, Time  0.237593
2021-09-16 18:25:54.568205 : Epoch 10, Batch     69, Loss  0.847684, Average Loss  0.868324, Time  0.263936
2021-09-16 18:25:55.326940 : Epoch  8, Batch    879, Loss  0.873228, Average Loss  0.868015, Time  0.237619
2021-09-16 18:25:57.545254 : Epoch 10, Batch     70, Loss  0.891344, Average Loss  0.868506, Time  0.275105
2021-09-16 18:25:57.892716 : Epoch  8, Batch    880, Loss  0.855658, Average Loss  0.867892, Time  0.237900
2021-09-16 18:26:00.449671 : Epoch  8, Batch    881, Loss  0.859155, Average Loss  0.867832, Time  0.237983
2021-09-16 18:26:00.521291 : Epoch 10, Batch     71, Loss  0.854325, Average Loss  0.868346, Time  0.263967
2021-09-16 18:26:03.012109 : Epoch  8, Batch    882, Loss  0.895220, Average Loss  0.867980, Time  0.237533
2021-09-16 18:26:03.500308 : Epoch 10, Batch     72, Loss  0.879164, Average Loss  0.868427, Time  0.264994
2021-09-16 18:26:05.583054 : Epoch  8, Batch    883, Loss  0.879456, Average Loss  0.868120, Time  0.238221
2021-09-16 18:26:06.487622 : Epoch 10, Batch     73, Loss  0.844411, Average Loss  0.868352, Time  0.264957
2021-09-16 18:26:08.146794 : Epoch  8, Batch    884, Loss  0.857469, Average Loss  0.867985, Time  0.237655
2021-09-16 18:26:09.459055 : Epoch 10, Batch     74, Loss  0.877237, Average Loss  0.868286, Time  0.263848
2021-09-16 18:26:10.708043 : Epoch  8, Batch    885, Loss  0.864703, Average Loss  0.867940, Time  0.237804
2021-09-16 18:26:12.438224 : Epoch 10, Batch     75, Loss  0.874639, Average Loss  0.868312, Time  0.264085
2021-09-16 18:26:13.264779 : Epoch  8, Batch    886, Loss  0.864917, Average Loss  0.867893, Time  0.237324
2021-09-16 18:26:15.415315 : Epoch 10, Batch     76, Loss  0.882456, Average Loss  0.868448, Time  0.264462
2021-09-16 18:26:15.822669 : Epoch  8, Batch    887, Loss  0.868600, Average Loss  0.867861, Time  0.237711
2021-09-16 18:26:18.371915 : Epoch  8, Batch    888, Loss  0.888712, Average Loss  0.867972, Time  0.237714
2021-09-16 18:26:18.411096 : Epoch 10, Batch     77, Loss  0.861235, Average Loss  0.868444, Time  0.264322
2021-09-16 18:26:20.922735 : Epoch  8, Batch    889, Loss  0.879766, Average Loss  0.868010, Time  0.237315
2021-09-16 18:26:21.390088 : Epoch 10, Batch     78, Loss  0.863735, Average Loss  0.868379, Time  0.263881
2021-09-16 18:26:23.482779 : Epoch  8, Batch    890, Loss  0.876697, Average Loss  0.868047, Time  0.238071
2021-09-16 18:26:24.354224 : Epoch 10, Batch     79, Loss  0.840277, Average Loss  0.868187, Time  0.264040
2021-09-16 18:26:26.041513 : Epoch  8, Batch    891, Loss  0.865964, Average Loss  0.868195, Time  0.238313
2021-09-16 18:26:27.345563 : Epoch 10, Batch     80, Loss  0.840758, Average Loss  0.868036, Time  0.265179
2021-09-16 18:26:28.619918 : Epoch  8, Batch    892, Loss  0.877643, Average Loss  0.868250, Time  0.238971
2021-09-16 18:26:30.327630 : Epoch 10, Batch     81, Loss  0.854211, Average Loss  0.867972, Time  0.263901
2021-09-16 18:26:31.199270 : Epoch  8, Batch    893, Loss  0.871214, Average Loss  0.868296, Time  0.237978
2021-09-16 18:26:33.305547 : Epoch 10, Batch     82, Loss  0.868323, Average Loss  0.867994, Time  0.264978
2021-09-16 18:26:33.770047 : Epoch  8, Batch    894, Loss  0.867039, Average Loss  0.868346, Time  0.239431
2021-09-16 18:26:36.295447 : Epoch 10, Batch     83, Loss  0.865286, Average Loss  0.867998, Time  0.264149
2021-09-16 18:26:36.319861 : Epoch  8, Batch    895, Loss  0.870893, Average Loss  0.868328, Time  0.237674
2021-09-16 18:26:38.873921 : Epoch  8, Batch    896, Loss  0.866054, Average Loss  0.868229, Time  0.237565
2021-09-16 18:26:39.269401 : Epoch 10, Batch     84, Loss  0.879210, Average Loss  0.867974, Time  0.264229
2021-09-16 18:26:41.443661 : Epoch  8, Batch    897, Loss  0.856903, Average Loss  0.868211, Time  0.237633
2021-09-16 18:26:42.266096 : Epoch 10, Batch     85, Loss  0.870482, Average Loss  0.867972, Time  0.278098
2021-09-16 18:26:44.008746 : Epoch  8, Batch    898, Loss  0.855503, Average Loss  0.868017, Time  0.237687
2021-09-16 18:26:45.277547 : Epoch 10, Batch     86, Loss  0.839217, Average Loss  0.867922, Time  0.265593
2021-09-16 18:26:46.577657 : Epoch  8, Batch    899, Loss  0.859564, Average Loss  0.867992, Time  0.237740
2021-09-16 18:26:48.261522 : Epoch 10, Batch     87, Loss  0.860877, Average Loss  0.867903, Time  0.264088
2021-09-16 18:26:49.141925 : Epoch  8, Batch    900, Loss  0.886903, Average Loss  0.868143, Time  0.237735
2021-09-16 18:26:51.231776 : Epoch 10, Batch     88, Loss  0.855328, Average Loss  0.867982, Time  0.263671
2021-09-16 18:26:51.703750 : Epoch  8, Batch    901, Loss  0.862881, Average Loss  0.868138, Time  0.237891
2021-09-16 18:26:54.241899 : Epoch  8, Batch    902, Loss  0.871870, Average Loss  0.868201, Time  0.237384
2021-09-16 18:26:54.249340 : Epoch 10, Batch     89, Loss  0.888119, Average Loss  0.867982, Time  0.264803
2021-09-16 18:26:56.809083 : Epoch  8, Batch    903, Loss  0.857161, Average Loss  0.868205, Time  0.237774
2021-09-16 18:26:57.269978 : Epoch 10, Batch     90, Loss  0.867620, Average Loss  0.868028, Time  0.265207
2021-09-16 18:26:59.386681 : Epoch  8, Batch    904, Loss  0.880190, Average Loss  0.868236, Time  0.238167
2021-09-16 18:27:00.236159 : Epoch 10, Batch     91, Loss  0.870706, Average Loss  0.867892, Time  0.264225
2021-09-16 18:27:01.952048 : Epoch  8, Batch    905, Loss  0.868521, Average Loss  0.868236, Time  0.237572
2021-09-16 18:27:03.253065 : Epoch 10, Batch     92, Loss  0.894074, Average Loss  0.868049, Time  0.264122
2021-09-16 18:27:04.518921 : Epoch  8, Batch    906, Loss  0.859204, Average Loss  0.868257, Time  0.237695
2021-09-16 18:27:06.227556 : Epoch 10, Batch     93, Loss  0.878131, Average Loss  0.868093, Time  0.264120
2021-09-16 18:27:07.084727 : Epoch  8, Batch    907, Loss  0.872075, Average Loss  0.868347, Time  0.238331
2021-09-16 18:27:09.237295 : Epoch 10, Batch     94, Loss  0.851275, Average Loss  0.867976, Time  0.265379
2021-09-16 18:27:09.643945 : Epoch  8, Batch    908, Loss  0.874715, Average Loss  0.868339, Time  0.238237
2021-09-16 18:27:12.204929 : Epoch 10, Batch     95, Loss  0.879426, Average Loss  0.868166, Time  0.263988
2021-09-16 18:27:15.175326 : Epoch 10, Batch     96, Loss  0.875781, Average Loss  0.868216, Time  0.263935
2021-09-16 18:31:06.947534 : CheckPoint: Validation Loss  0.00030498, Best Loss  0.00029207
2021-09-16 18:31:09.513951 : Epoch  8, Batch    909, Loss  0.858615, Average Loss  0.868265, Time  0.238950
2021-09-16 18:31:12.100107 : Epoch  8, Batch    910, Loss  0.854999, Average Loss  0.868214, Time  0.237890
2021-09-16 18:31:14.765085 : Epoch  8, Batch    911, Loss  0.859458, Average Loss  0.868146, Time  0.257637
2021-09-16 18:31:17.352843 : Epoch  8, Batch    912, Loss  0.856155, Average Loss  0.868206, Time  0.238078
2021-09-16 18:31:19.974863 : Epoch  8, Batch    913, Loss  0.887937, Average Loss  0.868306, Time  0.237689
2021-09-16 18:31:22.562747 : Epoch  8, Batch    914, Loss  0.866473, Average Loss  0.868242, Time  0.238169
2021-09-16 18:31:25.153893 : Epoch  8, Batch    915, Loss  0.871095, Average Loss  0.868281, Time  0.237920
2021-09-16 18:31:27.751852 : Epoch  8, Batch    916, Loss  0.866037, Average Loss  0.868297, Time  0.237593
2021-09-16 18:31:30.344414 : Epoch  8, Batch    917, Loss  0.892048, Average Loss  0.868464, Time  0.237840
2021-09-16 18:31:32.935914 : Epoch  8, Batch    918, Loss  0.880269, Average Loss  0.868507, Time  0.237709
2021-09-16 18:31:35.516142 : Epoch  8, Batch    919, Loss  0.854746, Average Loss  0.868441, Time  0.237646
2021-09-16 18:31:38.097052 : Epoch  8, Batch    920, Loss  0.861322, Average Loss  0.868419, Time  0.237851
2021-09-16 18:31:40.678917 : Epoch  8, Batch    921, Loss  0.866484, Average Loss  0.868470, Time  0.237440
2021-09-16 18:31:43.260267 : Epoch  8, Batch    922, Loss  0.862259, Average Loss  0.868473, Time  0.237695
2021-09-16 18:31:45.849892 : Epoch  8, Batch    923, Loss  0.875333, Average Loss  0.868452, Time  0.237286
2021-09-16 18:31:48.436701 : Epoch  8, Batch    924, Loss  0.885798, Average Loss  0.868564, Time  0.237900
2021-09-16 18:31:51.022788 : Epoch  8, Batch    925, Loss  0.881886, Average Loss  0.868625, Time  0.237421
2021-09-16 18:31:51.115372 : CheckPoint: Validation Loss  0.00030532, Best Loss  0.00029014
2021-09-16 18:31:53.598206 : Epoch  8, Batch    926, Loss  0.853049, Average Loss  0.868538, Time  0.237457
2021-09-16 18:31:54.088901 : Epoch 10, Batch     97, Loss  0.884535, Average Loss  0.868248, Time  0.263688
2021-09-16 18:31:56.188937 : Epoch  8, Batch    927, Loss  0.862861, Average Loss  0.868525, Time  0.237880
2021-09-16 18:31:57.081638 : Epoch 10, Batch     98, Loss  0.882639, Average Loss  0.868382, Time  0.264085
2021-09-16 18:31:58.783087 : Epoch  8, Batch    928, Loss  0.858106, Average Loss  0.868407, Time  0.237580
2021-09-16 18:32:00.058551 : Epoch 10, Batch     99, Loss  0.868522, Average Loss  0.868347, Time  0.265001
2021-09-16 18:32:01.379963 : Epoch  8, Batch    929, Loss  0.867496, Average Loss  0.868294, Time  0.238919
2021-09-16 18:32:03.056331 : Epoch 10, Batch    100, Loss  0.859649, Average Loss  0.868244, Time  0.264901
2021-09-16 18:32:03.988589 : Epoch  8, Batch    930, Loss  0.865209, Average Loss  0.868318, Time  0.238045
2021-09-16 18:32:06.059939 : Epoch 10, Batch    101, Loss  0.881649, Average Loss  0.868268, Time  0.264121
2021-09-16 18:32:06.604318 : Epoch  8, Batch    931, Loss  0.871455, Average Loss  0.868358, Time  0.238275
2021-09-16 18:32:09.031051 : Epoch 10, Batch    102, Loss  0.856070, Average Loss  0.868300, Time  0.264114
2021-09-16 18:32:09.192932 : Epoch  8, Batch    932, Loss  0.865018, Average Loss  0.868352, Time  0.237708
2021-09-16 18:32:11.771916 : Epoch  8, Batch    933, Loss  0.891362, Average Loss  0.868502, Time  0.237375
2021-09-16 18:32:12.012034 : Epoch 10, Batch    103, Loss  0.867806, Average Loss  0.868320, Time  0.265715
2021-09-16 18:32:14.362092 : Epoch  8, Batch    934, Loss  0.857970, Average Loss  0.868530, Time  0.237835
2021-09-16 18:32:14.974743 : Epoch 10, Batch    104, Loss  0.872892, Average Loss  0.868266, Time  0.269376
2021-09-16 18:32:16.944450 : Epoch  8, Batch    935, Loss  0.858716, Average Loss  0.868420, Time  0.237785
2021-09-16 18:32:17.993845 : Epoch 10, Batch    105, Loss  0.839598, Average Loss  0.868097, Time  0.263827
2021-09-16 18:32:19.567283 : Epoch  8, Batch    936, Loss  0.856865, Average Loss  0.868336, Time  0.237894
2021-09-16 18:32:20.970542 : Epoch 10, Batch    106, Loss  0.882144, Average Loss  0.868135, Time  0.264642
2021-09-16 18:32:22.172901 : Epoch  8, Batch    937, Loss  0.877924, Average Loss  0.868445, Time  0.237854
2021-09-16 18:32:23.978776 : Epoch 10, Batch    107, Loss  0.886398, Average Loss  0.868334, Time  0.264777
2021-09-16 18:32:24.778604 : Epoch  8, Batch    938, Loss  0.846224, Average Loss  0.868302, Time  0.238024
2021-09-16 18:32:26.972528 : Epoch 10, Batch    108, Loss  0.879105, Average Loss  0.868394, Time  0.265379
2021-09-16 18:32:27.371939 : Epoch  8, Batch    939, Loss  0.867531, Average Loss  0.868271, Time  0.237482
2021-09-16 18:32:29.946901 : Epoch  8, Batch    940, Loss  0.884055, Average Loss  0.868364, Time  0.237507
2021-09-16 18:32:29.983988 : Epoch 10, Batch    109, Loss  0.861098, Average Loss  0.868343, Time  0.264637
2021-09-16 18:32:32.537849 : Epoch  8, Batch    941, Loss  0.850690, Average Loss  0.868376, Time  0.237748
2021-09-16 18:32:32.964727 : Epoch 10, Batch    110, Loss  0.867573, Average Loss  0.868326, Time  0.265094
2021-09-16 18:32:35.125847 : Epoch  8, Batch    942, Loss  0.866307, Average Loss  0.868450, Time  0.237702
2021-09-16 18:32:35.935844 : Epoch 10, Batch    111, Loss  0.880235, Average Loss  0.868388, Time  0.264249
2021-09-16 18:32:37.718155 : Epoch  8, Batch    943, Loss  0.855733, Average Loss  0.868478, Time  0.237955
2021-09-16 18:32:38.912234 : Epoch 10, Batch    112, Loss  0.868578, Average Loss  0.868399, Time  0.264444
2021-09-16 18:32:40.306338 : Epoch  8, Batch    944, Loss  0.866107, Average Loss  0.868493, Time  0.238250
2021-09-16 18:32:41.906444 : Epoch 10, Batch    113, Loss  0.888497, Average Loss  0.868420, Time  0.265342
2021-09-16 18:32:42.883589 : Epoch  8, Batch    945, Loss  0.861420, Average Loss  0.868402, Time  0.237666
2021-09-16 18:32:44.875280 : Epoch 10, Batch    114, Loss  0.873868, Average Loss  0.868480, Time  0.264122
2021-09-16 18:32:45.473845 : Epoch  8, Batch    946, Loss  0.868041, Average Loss  0.868386, Time  0.237686
2021-09-16 18:32:47.851820 : Epoch 10, Batch    115, Loss  0.903397, Average Loss  0.868757, Time  0.264133
2021-09-16 18:32:48.061085 : Epoch  8, Batch    947, Loss  0.857942, Average Loss  0.868306, Time  0.237419
2021-09-16 18:32:50.640800 : Epoch  8, Batch    948, Loss  0.869922, Average Loss  0.868276, Time  0.237969
2021-09-16 18:32:50.848949 : Epoch 10, Batch    116, Loss  0.861963, Average Loss  0.868748, Time  0.264639
2021-09-16 18:32:53.236866 : Epoch  8, Batch    949, Loss  0.872090, Average Loss  0.868341, Time  0.237828
2021-09-16 18:32:53.843028 : Epoch 10, Batch    117, Loss  0.874996, Average Loss  0.868834, Time  0.264166
2021-09-16 18:32:55.826593 : Epoch  8, Batch    950, Loss  0.856481, Average Loss  0.868259, Time  0.238098
2021-09-16 18:32:56.823487 : Epoch 10, Batch    118, Loss  0.855852, Average Loss  0.868784, Time  0.264283
2021-09-16 18:32:58.408068 : Epoch  8, Batch    951, Loss  0.872211, Average Loss  0.868310, Time  0.237370
2021-09-16 18:32:59.824915 : Epoch 10, Batch    119, Loss  0.880433, Average Loss  0.868816, Time  0.265126
2021-09-16 18:33:01.009922 : Epoch  8, Batch    952, Loss  0.866336, Average Loss  0.868261, Time  0.237563
2021-09-16 18:33:02.838986 : Epoch 10, Batch    120, Loss  0.881782, Average Loss  0.868910, Time  0.276955
2021-09-16 18:33:03.611684 : Epoch  8, Batch    953, Loss  0.856146, Average Loss  0.868209, Time  0.238717
2021-09-16 18:33:05.847074 : Epoch 10, Batch    121, Loss  0.873121, Average Loss  0.868958, Time  0.265165
2021-09-16 18:33:06.193183 : Epoch  8, Batch    954, Loss  0.859633, Average Loss  0.868170, Time  0.238309
2021-09-16 18:33:08.766105 : Epoch  8, Batch    955, Loss  0.844606, Average Loss  0.868077, Time  0.238432
2021-09-16 18:33:08.825031 : Epoch 10, Batch    122, Loss  0.847723, Average Loss  0.868878, Time  0.264243
2021-09-16 18:33:11.352762 : Epoch  8, Batch    956, Loss  0.864789, Average Loss  0.868126, Time  0.237787
2021-09-16 18:33:11.794237 : Epoch 10, Batch    123, Loss  0.867366, Average Loss  0.868861, Time  0.264661
2021-09-16 18:33:13.937861 : Epoch  8, Batch    957, Loss  0.859321, Average Loss  0.868190, Time  0.237634
2021-09-16 18:33:14.779145 : Epoch 10, Batch    124, Loss  0.891418, Average Loss  0.868970, Time  0.265020
2021-09-16 18:33:16.523973 : Epoch  8, Batch    958, Loss  0.860920, Average Loss  0.868178, Time  0.238239
2021-09-16 18:33:17.764233 : Epoch 10, Batch    125, Loss  0.876450, Average Loss  0.868976, Time  0.264184
2021-09-16 18:33:19.110137 : Epoch  8, Batch    959, Loss  0.865731, Average Loss  0.868282, Time  0.237444
2021-09-16 18:33:20.773125 : Epoch 10, Batch    126, Loss  0.875638, Average Loss  0.868879, Time  0.264843
2021-09-16 18:33:21.706707 : Epoch  8, Batch    960, Loss  0.869307, Average Loss  0.868378, Time  0.237880
2021-09-16 18:33:23.757385 : Epoch 10, Batch    127, Loss  0.876204, Average Loss  0.868922, Time  0.265531
2021-09-16 18:33:24.322886 : Epoch  8, Batch    961, Loss  0.873325, Average Loss  0.868382, Time  0.237558
2021-09-16 18:33:26.731498 : Epoch 10, Batch    128, Loss  0.851596, Average Loss  0.868776, Time  0.263979
2021-09-16 18:33:26.910744 : Epoch  8, Batch    962, Loss  0.855964, Average Loss  0.868298, Time  0.237792
2021-09-16 18:33:29.499135 : Epoch  8, Batch    963, Loss  0.872076, Average Loss  0.868307, Time  0.237806
2021-09-16 18:33:29.705961 : Epoch 10, Batch    129, Loss  0.872270, Average Loss  0.868762, Time  0.264566
2021-09-16 18:33:32.083847 : Epoch  8, Batch    964, Loss  0.864802, Average Loss  0.868252, Time  0.237803
2021-09-16 18:33:32.706325 : Epoch 10, Batch    130, Loss  0.895501, Average Loss  0.868859, Time  0.264834
2021-09-16 18:33:34.672885 : Epoch  8, Batch    965, Loss  0.870947, Average Loss  0.868257, Time  0.237670
2021-09-16 18:33:35.714529 : Epoch 10, Batch    131, Loss  0.869699, Average Loss  0.868832, Time  0.263258
2021-09-16 18:33:37.250889 : Epoch  8, Batch    966, Loss  0.867896, Average Loss  0.868314, Time  0.237465
2021-09-16 18:33:38.682915 : Epoch 10, Batch    132, Loss  0.847400, Average Loss  0.868683, Time  0.263901
2021-09-16 18:33:39.843930 : Epoch  8, Batch    967, Loss  0.875248, Average Loss  0.868431, Time  0.237863
2021-09-16 18:33:41.674673 : Epoch 10, Batch    133, Loss  0.855730, Average Loss  0.868596, Time  0.265114
2021-09-16 18:33:42.424976 : Epoch  8, Batch    968, Loss  0.884664, Average Loss  0.868433, Time  0.237890
2021-09-16 18:33:44.666461 : Epoch 10, Batch    134, Loss  0.894743, Average Loss  0.868712, Time  0.264674
2021-09-16 18:33:45.015044 : Epoch  8, Batch    969, Loss  0.877319, Average Loss  0.868343, Time  0.237810
2021-09-16 18:33:47.591714 : Epoch  8, Batch    970, Loss  0.872690, Average Loss  0.868393, Time  0.237618
2021-09-16 18:33:47.674815 : Epoch 10, Batch    135, Loss  0.886005, Average Loss  0.868858, Time  0.274694
2021-09-16 18:33:50.171104 : Epoch  8, Batch    971, Loss  0.869149, Average Loss  0.868424, Time  0.237697
2021-09-16 18:33:50.687841 : Epoch 10, Batch    136, Loss  0.873718, Average Loss  0.868859, Time  0.265737
2021-09-16 18:33:52.751930 : Epoch  8, Batch    972, Loss  0.876697, Average Loss  0.868420, Time  0.237370
2021-09-16 18:33:53.687281 : Epoch 10, Batch    137, Loss  0.900134, Average Loss  0.868986, Time  0.264277
2021-09-16 18:33:55.333678 : Epoch  8, Batch    973, Loss  0.836637, Average Loss  0.868272, Time  0.237557
2021-09-16 18:33:56.662599 : Epoch 10, Batch    138, Loss  0.857647, Average Loss  0.868973, Time  0.264925
2021-09-16 18:33:57.917837 : Epoch  8, Batch    974, Loss  0.869587, Average Loss  0.868245, Time  0.237963
2021-09-16 18:33:59.679074 : Epoch 10, Batch    139, Loss  0.862567, Average Loss  0.868873, Time  0.264537
2021-09-16 18:34:00.504856 : Epoch  8, Batch    975, Loss  0.879982, Average Loss  0.868416, Time  0.238159
2021-09-16 18:34:02.699306 : Epoch 10, Batch    140, Loss  0.865984, Average Loss  0.868771, Time  0.264981
2021-09-16 18:34:03.097944 : Epoch  8, Batch    976, Loss  0.864881, Average Loss  0.868380, Time  0.239002
2021-09-16 18:34:05.678854 : Epoch  8, Batch    977, Loss  0.877634, Average Loss  0.868432, Time  0.237554
2021-09-16 18:34:08.299865 : Epoch  8, Batch    978, Loss  0.872462, Average Loss  0.868432, Time  0.238135
2021-09-16 18:34:08.684049 : Epoch 10, Batch    142, Loss  0.863684, Average Loss  0.868594, Time  0.265291
2021-09-16 18:34:10.884154 : Epoch  8, Batch    979, Loss  0.871366, Average Loss  0.868505, Time  0.238175
2021-09-16 18:34:11.673370 : Epoch 10, Batch    143, Loss  0.874018, Average Loss  0.868626, Time  0.265766
2021-09-16 18:34:13.481675 : Epoch  8, Batch    980, Loss  0.857784, Average Loss  0.868462, Time  0.237788
2021-09-16 18:34:14.667918 : Epoch 10, Batch    144, Loss  0.869584, Average Loss  0.868661, Time  0.265399
2021-09-16 18:34:16.078886 : Epoch  8, Batch    981, Loss  0.850286, Average Loss  0.868519, Time  0.237857
2021-09-16 18:34:17.690322 : Epoch 10, Batch    145, Loss  0.863633, Average Loss  0.868645, Time  0.263608
2021-09-16 18:34:18.667759 : Epoch  8, Batch    982, Loss  0.882701, Average Loss  0.868477, Time  0.237799
2021-09-16 18:34:20.667654 : Epoch 10, Batch    146, Loss  0.879524, Average Loss  0.868718, Time  0.263778
2021-09-16 18:34:21.264232 : Epoch  8, Batch    983, Loss  0.865835, Average Loss  0.868364, Time  0.237668
2021-09-16 18:34:23.662680 : Epoch 10, Batch    147, Loss  0.855812, Average Loss  0.868660, Time  0.264803
2021-09-16 18:34:23.850123 : Epoch  8, Batch    984, Loss  0.881514, Average Loss  0.868335, Time  0.237439
2021-09-16 18:34:26.431704 : Epoch  8, Batch    985, Loss  0.879009, Average Loss  0.868310, Time  0.237499
2021-09-16 18:34:26.668044 : Epoch 10, Batch    148, Loss  0.887419, Average Loss  0.868869, Time  0.264418
2021-09-16 18:34:29.021880 : Epoch  8, Batch    986, Loss  0.867911, Average Loss  0.868243, Time  0.238314
2021-09-16 18:34:29.633533 : Epoch 10, Batch    149, Loss  0.874503, Average Loss  0.868873, Time  0.264888
2021-09-16 18:34:31.612007 : Epoch  8, Batch    987, Loss  0.851463, Average Loss  0.868195, Time  0.237726
2021-09-16 18:34:32.662429 : Epoch 10, Batch    150, Loss  0.859568, Average Loss  0.868832, Time  0.273125
2021-09-16 18:34:34.188015 : Epoch  8, Batch    988, Loss  0.866379, Average Loss  0.868270, Time  0.237735
2021-09-16 18:34:35.656858 : Epoch 10, Batch    151, Loss  0.878497, Average Loss  0.868849, Time  0.264390
2021-09-16 18:34:36.780663 : Epoch  8, Batch    989, Loss  0.889732, Average Loss  0.868441, Time  0.237621
2021-09-16 18:34:38.634639 : Epoch 10, Batch    152, Loss  0.863916, Average Loss  0.868937, Time  0.264644
2021-09-16 18:34:39.380715 : Epoch  8, Batch    990, Loss  0.877373, Average Loss  0.868425, Time  0.237844
2021-09-16 18:34:41.607872 : Epoch 10, Batch    153, Loss  0.869092, Average Loss  0.868955, Time  0.264727
2021-09-16 18:34:41.963106 : Epoch  8, Batch    991, Loss  0.851578, Average Loss  0.868278, Time  0.238120
2021-09-16 18:34:44.547113 : Epoch  8, Batch    992, Loss  0.876519, Average Loss  0.868179, Time  0.238084
2021-09-16 18:34:44.596314 : Epoch 10, Batch    154, Loss  0.874127, Average Loss  0.868947, Time  0.264773
2021-09-16 18:34:47.141118 : Epoch  8, Batch    993, Loss  0.854282, Average Loss  0.868118, Time  0.237674
2021-09-16 18:34:47.567996 : Epoch 10, Batch    155, Loss  0.889157, Average Loss  0.869059, Time  0.263905
2021-09-16 18:34:49.742067 : Epoch  8, Batch    994, Loss  0.862985, Average Loss  0.868069, Time  0.237624
2021-09-16 18:34:50.539928 : Epoch 10, Batch    156, Loss  0.881112, Average Loss  0.869130, Time  0.266718
2021-09-16 18:34:52.323969 : Epoch  8, Batch    995, Loss  0.876411, Average Loss  0.868096, Time  0.237714
2021-09-16 18:34:53.557866 : Epoch 10, Batch    157, Loss  0.869978, Average Loss  0.869148, Time  0.264973
2021-09-16 18:34:54.912941 : Epoch  8, Batch    996, Loss  0.852115, Average Loss  0.868043, Time  0.237469
2021-09-16 18:34:56.594794 : Epoch 10, Batch    158, Loss  0.859230, Average Loss  0.869108, Time  0.265914
2021-09-16 18:34:57.504822 : Epoch  8, Batch    997, Loss  0.899294, Average Loss  0.868171, Time  0.237666
2021-09-16 18:34:59.615845 : Epoch 10, Batch    159, Loss  0.875970, Average Loss  0.869109, Time  0.264053
2021-09-16 18:35:00.096811 : Epoch  8, Batch    998, Loss  0.871848, Average Loss  0.868254, Time  0.238148
2021-09-16 18:35:02.595022 : Epoch 10, Batch    160, Loss  0.883553, Average Loss  0.869184, Time  0.266011
2021-09-16 18:35:02.683478 : Epoch  8, Batch    999, Loss  0.858964, Average Loss  0.868149, Time  0.238928
2021-09-16 18:35:05.286750 : Epoch  8, Batch   1000, Loss  0.869134, Average Loss  0.868246, Time  0.238013
2021-09-16 18:35:05.573509 : Epoch 10, Batch    161, Loss  0.873479, Average Loss  0.869174, Time  0.264778
2021-09-16 18:35:07.879983 : Epoch  8, Batch   1001, Loss  0.862797, Average Loss  0.868229, Time  0.238323
2021-09-16 18:35:08.575015 : Epoch 10, Batch    162, Loss  0.851440, Average Loss  0.869148, Time  0.264919
2021-09-16 18:35:10.463913 : Epoch  8, Batch   1002, Loss  0.867861, Average Loss  0.868271, Time  0.237933
2021-09-16 18:35:11.557293 : Epoch 10, Batch    163, Loss  0.865013, Average Loss  0.869137, Time  0.264199
2021-09-16 18:35:13.061952 : Epoch  8, Batch   1003, Loss  0.875747, Average Loss  0.868301, Time  0.238802
2021-09-16 18:35:14.531398 : Epoch 10, Batch    164, Loss  0.871761, Average Loss  0.869279, Time  0.264503
2021-09-16 18:35:15.650906 : Epoch  8, Batch   1004, Loss  0.867565, Average Loss  0.868302, Time  0.237755
2021-09-16 18:35:17.538932 : Epoch 10, Batch    165, Loss  0.860285, Average Loss  0.869239, Time  0.277085
2021-09-16 18:35:18.248051 : Epoch  8, Batch   1005, Loss  0.895252, Average Loss  0.868371, Time  0.238225
2021-09-16 18:35:20.527459 : Epoch 10, Batch    166, Loss  0.848097, Average Loss  0.869216, Time  0.265148
2021-09-16 18:35:20.832899 : Epoch  8, Batch   1006, Loss  0.870651, Average Loss  0.868340, Time  0.237884
2021-09-16 18:35:23.408048 : Epoch  8, Batch   1007, Loss  0.879052, Average Loss  0.868347, Time  0.237544
2021-09-16 18:35:23.513063 : Epoch 10, Batch    167, Loss  0.874377, Average Loss  0.869223, Time  0.265296
2021-09-16 18:35:26.505102 : Epoch 10, Batch    168, Loss  0.881920, Average Loss  0.869380, Time  0.264851
2021-09-16 18:35:29.511823 : Epoch 10, Batch    169, Loss  0.861237, Average Loss  0.869326, Time  0.264541
2021-09-16 18:35:32.391913 : Epoch  8, Batch   1008, Loss  0.887516, Average Loss  0.868431, Time  0.268692
2021-09-16 18:35:32.507523 : Epoch 10, Batch    170, Loss  0.866374, Average Loss  0.869387, Time  0.265529
2021-09-16 18:35:35.574330 : Epoch 10, Batch    171, Loss  0.867314, Average Loss  0.869373, Time  0.265207
2021-09-16 18:35:38.626011 : Epoch 10, Batch    172, Loss  0.867432, Average Loss  0.869338, Time  0.265125
2021-09-16 18:35:41.620763 : Epoch 10, Batch    173, Loss  0.862365, Average Loss  0.869308, Time  0.266658
2021-09-16 18:35:44.656571 : Epoch 10, Batch    174, Loss  0.870547, Average Loss  0.869363, Time  0.265687
2021-09-16 18:35:47.628000 : Epoch 10, Batch    175, Loss  0.850964, Average Loss  0.869272, Time  0.263757
2021-09-16 18:35:50.602772 : Epoch 10, Batch    176, Loss  0.842216, Average Loss  0.869201, Time  0.264072
2021-09-16 18:35:53.578956 : Epoch 10, Batch    177, Loss  0.895622, Average Loss  0.869275, Time  0.264701
2021-09-16 18:35:56.592501 : Epoch 10, Batch    178, Loss  0.859678, Average Loss  0.869270, Time  0.264696
2021-09-16 18:35:59.577937 : Epoch 10, Batch    179, Loss  0.868770, Average Loss  0.869386, Time  0.263968
2021-09-16 18:36:02.555622 : Epoch 10, Batch    180, Loss  0.865950, Average Loss  0.869367, Time  0.273782
2021-09-16 18:36:05.577344 : Epoch 10, Batch    181, Loss  0.865288, Average Loss  0.869277, Time  0.265308
2021-09-16 18:36:08.587048 : Epoch 10, Batch    182, Loss  0.890117, Average Loss  0.869471, Time  0.264982
2021-09-16 18:36:11.591920 : Epoch 10, Batch    183, Loss  0.868359, Average Loss  0.869586, Time  0.264589
2021-09-16 18:36:14.593800 : Epoch 10, Batch    184, Loss  0.863156, Average Loss  0.869526, Time  0.264883
2021-09-16 18:36:17.608847 : Epoch 10, Batch    185, Loss  0.870344, Average Loss  0.869514, Time  0.264703
2021-09-16 18:36:20.586993 : Epoch 10, Batch    186, Loss  0.859887, Average Loss  0.869477, Time  0.264960
2021-09-16 18:36:23.588256 : Epoch 10, Batch    187, Loss  0.857552, Average Loss  0.869327, Time  0.265205
2021-09-16 18:36:26.562552 : Epoch 10, Batch    188, Loss  0.864502, Average Loss  0.869312, Time  0.263524
2021-09-16 18:36:29.537847 : Epoch 10, Batch    189, Loss  0.840401, Average Loss  0.869155, Time  0.264143
2021-09-16 18:36:32.516901 : Epoch 10, Batch    190, Loss  0.865705, Average Loss  0.869249, Time  0.264645
2021-09-16 18:36:35.487929 : Epoch 10, Batch    191, Loss  0.874213, Average Loss  0.869215, Time  0.264421
2021-09-16 18:36:38.464557 : Epoch 10, Batch    192, Loss  0.869021, Average Loss  0.869248, Time  0.264807
2021-09-16 18:36:41.473165 : Epoch 10, Batch    193, Loss  0.851097, Average Loss  0.869069, Time  0.264615
2021-09-16 18:36:44.469126 : Epoch 10, Batch    194, Loss  0.872077, Average Loss  0.869066, Time  0.264591
2021-09-16 18:36:47.462865 : Epoch 10, Batch    195, Loss  0.874337, Average Loss  0.869103, Time  0.276487
2021-09-16 18:36:50.464937 : Epoch 10, Batch    196, Loss  0.862654, Average Loss  0.869052, Time  0.264844
2021-09-16 18:39:28.563680 : CheckPoint: Validation Loss  0.00030659, Best Loss  0.00029207
2021-09-16 18:39:31.125647 : Epoch  8, Batch   1009, Loss  0.882101, Average Loss  0.868444, Time  0.238582
2021-09-16 18:39:33.703878 : Epoch  8, Batch   1010, Loss  0.871159, Average Loss  0.868460, Time  0.237730
2021-09-16 18:39:36.277262 : Epoch  8, Batch   1011, Loss  0.873687, Average Loss  0.868460, Time  0.237902
2021-09-16 18:39:38.851036 : Epoch  8, Batch   1012, Loss  0.869100, Average Loss  0.868500, Time  0.237623
2021-09-16 18:39:41.426155 : Epoch  8, Batch   1013, Loss  0.885265, Average Loss  0.868550, Time  0.237712
2021-09-16 18:39:44.020915 : Epoch  8, Batch   1014, Loss  0.870607, Average Loss  0.868622, Time  0.238826
2021-09-16 18:39:46.601844 : Epoch  8, Batch   1015, Loss  0.837268, Average Loss  0.868399, Time  0.237906
2021-09-16 18:39:49.181196 : Epoch  8, Batch   1016, Loss  0.897197, Average Loss  0.868678, Time  0.238663
2021-09-16 18:39:51.760743 : Epoch  8, Batch   1017, Loss  0.862544, Average Loss  0.868752, Time  0.237770
2021-09-16 18:39:54.348815 : Epoch  8, Batch   1018, Loss  0.896845, Average Loss  0.868942, Time  0.237907
2021-09-16 18:39:56.944026 : Epoch  8, Batch   1019, Loss  0.857534, Average Loss  0.868899, Time  0.237468
2021-09-16 18:39:59.529071 : Epoch  8, Batch   1020, Loss  0.853795, Average Loss  0.868840, Time  0.237568
2021-09-16 18:40:02.107720 : Epoch  8, Batch   1021, Loss  0.849337, Average Loss  0.868754, Time  0.237671
2021-09-16 18:40:04.681555 : Epoch  8, Batch   1022, Loss  0.858466, Average Loss  0.868694, Time  0.237660
2021-09-16 18:40:07.292955 : Epoch  8, Batch   1023, Loss  0.859870, Average Loss  0.868567, Time  0.238451
2021-09-16 18:40:09.887028 : Epoch  8, Batch   1024, Loss  0.865294, Average Loss  0.868476, Time  0.237458
2021-09-16 18:40:12.486515 : Epoch  8, Batch   1025, Loss  0.859916, Average Loss  0.868393, Time  0.237674
2021-09-16 18:40:15.071088 : Epoch  8, Batch   1026, Loss  0.861700, Average Loss  0.868379, Time  0.237804
2021-09-16 18:40:17.654804 : Epoch  8, Batch   1027, Loss  0.869820, Average Loss  0.868394, Time  0.237784
2021-09-16 18:40:20.246801 : Epoch  8, Batch   1028, Loss  0.844447, Average Loss  0.868228, Time  0.239207
2021-09-16 18:40:22.838836 : Epoch  8, Batch   1029, Loss  0.863090, Average Loss  0.868204, Time  0.238052
2021-09-16 18:40:25.431976 : Epoch  8, Batch   1030, Loss  0.857407, Average Loss  0.868123, Time  0.237965
2021-09-16 18:40:28.039142 : Epoch  8, Batch   1031, Loss  0.873723, Average Loss  0.868167, Time  0.237702
2021-09-16 18:40:30.619065 : Epoch  8, Batch   1032, Loss  0.867509, Average Loss  0.868066, Time  0.237333
2021-09-16 18:40:33.194221 : Epoch  8, Batch   1033, Loss  0.846997, Average Loss  0.868006, Time  0.237898
2021-09-16 18:40:35.782693 : Epoch  8, Batch   1034, Loss  0.872851, Average Loss  0.867960, Time  0.237864
2021-09-16 18:40:38.373913 : Epoch  8, Batch   1035, Loss  0.877778, Average Loss  0.867868, Time  0.237732
2021-09-16 18:40:40.970896 : Epoch  8, Batch   1036, Loss  0.858020, Average Loss  0.867796, Time  0.238107
2021-09-16 18:40:43.558742 : Epoch  8, Batch   1037, Loss  0.850035, Average Loss  0.867630, Time  0.238582
2021-09-16 18:40:46.157991 : Epoch  8, Batch   1038, Loss  0.874711, Average Loss  0.867721, Time  0.258403
2021-09-16 18:40:48.738904 : Epoch  8, Batch   1039, Loss  0.874566, Average Loss  0.867707, Time  0.238169
2021-09-16 18:40:51.317291 : Epoch  8, Batch   1040, Loss  0.888353, Average Loss  0.867890, Time  0.238134
2021-09-16 18:40:53.901940 : Epoch  8, Batch   1041, Loss  0.866263, Average Loss  0.867927, Time  0.237813
2021-09-16 18:40:56.497836 : Epoch  8, Batch   1042, Loss  0.899636, Average Loss  0.868122, Time  0.237757
2021-09-16 18:40:59.085698 : Epoch  8, Batch   1043, Loss  0.860038, Average Loss  0.868040, Time  0.237977
2021-09-16 18:41:01.669687 : Epoch  8, Batch   1044, Loss  0.864743, Average Loss  0.867936, Time  0.237776
2021-09-16 18:41:04.263916 : Epoch  8, Batch   1045, Loss  0.892021, Average Loss  0.868098, Time  0.237813
2021-09-16 18:41:06.858059 : Epoch  8, Batch   1046, Loss  0.875580, Average Loss  0.868172, Time  0.239061
2021-09-16 18:41:09.445681 : Epoch  8, Batch   1047, Loss  0.873461, Average Loss  0.868310, Time  0.237702
2021-09-16 18:41:12.024837 : Epoch  8, Batch   1048, Loss  0.867002, Average Loss  0.868321, Time  0.237931
2021-09-16 18:41:14.611203 : Epoch  8, Batch   1049, Loss  0.889009, Average Loss  0.868348, Time  0.239439
2021-09-16 18:41:17.248970 : Epoch  8, Batch   1050, Loss  0.864407, Average Loss  0.868336, Time  0.239016
2021-09-16 18:41:19.834736 : Epoch  8, Batch   1051, Loss  0.843670, Average Loss  0.868119, Time  0.237644
2021-09-16 18:41:22.418855 : Epoch  8, Batch   1052, Loss  0.862396, Average Loss  0.867995, Time  0.237695
2021-09-16 18:41:25.003709 : Epoch  8, Batch   1053, Loss  0.861404, Average Loss  0.867986, Time  0.237890
2021-09-16 18:41:26.936026 : CheckPoint: Validation Loss  0.00029991, Best Loss  0.00029014
2021-09-16 18:41:27.576904 : Epoch  8, Batch   1054, Loss  0.882427, Average Loss  0.868123, Time  0.237717
2021-09-16 18:41:29.949974 : Epoch 10, Batch    197, Loss  0.853750, Average Loss  0.868913, Time  0.268460
2021-09-16 18:41:30.170970 : Epoch  8, Batch   1055, Loss  0.890720, Average Loss  0.868190, Time  0.237588
2021-09-16 18:41:32.741728 : Epoch  8, Batch   1056, Loss  0.860251, Average Loss  0.868154, Time  0.237919
2021-09-16 18:41:32.938116 : Epoch 10, Batch    198, Loss  0.864785, Average Loss  0.868910, Time  0.264530
2021-09-16 18:41:35.319829 : Epoch  8, Batch   1057, Loss  0.871097, Average Loss  0.868208, Time  0.237931
2021-09-16 18:41:35.899324 : Epoch 10, Batch    199, Loss  0.890037, Average Loss  0.868915, Time  0.265473
2021-09-16 18:41:37.901035 : Epoch  8, Batch   1058, Loss  0.856268, Average Loss  0.868081, Time  0.237788
2021-09-16 18:41:38.897082 : Epoch 10, Batch    200, Loss  0.855924, Average Loss  0.868760, Time  0.263640
2021-09-16 18:41:40.474082 : Epoch  8, Batch   1059, Loss  0.866159, Average Loss  0.868060, Time  0.237373
2021-09-16 18:41:41.870940 : Epoch 10, Batch    201, Loss  0.870274, Average Loss  0.868663, Time  0.264139
2021-09-16 18:41:43.064752 : Epoch  8, Batch   1060, Loss  0.897232, Average Loss  0.868197, Time  0.238461
2021-09-16 18:41:44.865231 : Epoch 10, Batch    202, Loss  0.860222, Average Loss  0.868597, Time  0.266083
2021-09-16 18:41:45.663711 : Epoch  8, Batch   1061, Loss  0.876374, Average Loss  0.868309, Time  0.238074
2021-09-16 18:41:47.863967 : Epoch 10, Batch    203, Loss  0.886102, Average Loss  0.868723, Time  0.264766
2021-09-16 18:41:48.265576 : Epoch  8, Batch   1062, Loss  0.880478, Average Loss  0.868407, Time  0.238420
2021-09-16 18:41:50.832866 : Epoch  8, Batch   1063, Loss  0.883045, Average Loss  0.868403, Time  0.238200
2021-09-16 18:41:50.871183 : Epoch 10, Batch    204, Loss  0.873049, Average Loss  0.868766, Time  0.264578
2021-09-16 18:41:53.416994 : Epoch  8, Batch   1064, Loss  0.857529, Average Loss  0.868240, Time  0.237927
2021-09-16 18:41:53.868898 : Epoch 10, Batch    205, Loss  0.836931, Average Loss  0.868719, Time  0.263817
2021-09-16 18:41:56.013906 : Epoch  8, Batch   1065, Loss  0.866463, Average Loss  0.868223, Time  0.237767
2021-09-16 18:41:56.829512 : Epoch 10, Batch    206, Loss  0.855138, Average Loss  0.868671, Time  0.264569
2021-09-16 18:41:58.611863 : Epoch  8, Batch   1066, Loss  0.854676, Average Loss  0.868082, Time  0.238303
2021-09-16 18:41:59.821105 : Epoch 10, Batch    207, Loss  0.865014, Average Loss  0.868753, Time  0.265433
2021-09-16 18:42:01.234681 : Epoch  8, Batch   1067, Loss  0.847196, Average Loss  0.868041, Time  0.237666
2021-09-16 18:42:02.823251 : Epoch 10, Batch    208, Loss  0.865692, Average Loss  0.868795, Time  0.264376
2021-09-16 18:42:03.845888 : Epoch  8, Batch   1068, Loss  0.872087, Average Loss  0.868132, Time  0.237713
2021-09-16 18:42:05.803750 : Epoch 10, Batch    209, Loss  0.890087, Average Loss  0.868836, Time  0.265031
2021-09-16 18:42:06.432700 : Epoch  8, Batch   1069, Loss  0.891181, Average Loss  0.868208, Time  0.237626
2021-09-16 18:42:08.776759 : Epoch 10, Batch    210, Loss  0.845395, Average Loss  0.868725, Time  0.263880
2021-09-16 18:42:09.023886 : Epoch  8, Batch   1070, Loss  0.861277, Average Loss  0.868152, Time  0.237600
2021-09-16 18:42:11.600789 : Epoch  8, Batch   1071, Loss  0.867501, Average Loss  0.868209, Time  0.237947
2021-09-16 18:42:11.764351 : Epoch 10, Batch    211, Loss  0.877340, Average Loss  0.868824, Time  0.271565
2021-09-16 18:42:14.176913 : Epoch  8, Batch   1072, Loss  0.867880, Average Loss  0.868243, Time  0.237427
2021-09-16 18:42:14.743603 : Epoch 10, Batch    212, Loss  0.849606, Average Loss  0.868642, Time  0.264665
2021-09-16 18:42:16.760980 : Epoch  8, Batch   1073, Loss  0.868550, Average Loss  0.868272, Time  0.237865
2021-09-16 18:42:17.749498 : Epoch 10, Batch    213, Loss  0.859033, Average Loss  0.868515, Time  0.264902
2021-09-16 18:42:19.350722 : Epoch  8, Batch   1074, Loss  0.868673, Average Loss  0.868319, Time  0.237493
2021-09-16 18:42:20.760411 : Epoch 10, Batch    214, Loss  0.890460, Average Loss  0.868598, Time  0.264114
2021-09-16 18:42:21.935901 : Epoch  8, Batch   1075, Loss  0.879373, Average Loss  0.868324, Time  0.237368
2021-09-16 18:42:23.751851 : Epoch 10, Batch    215, Loss  0.859981, Average Loss  0.868462, Time  0.264250
2021-09-16 18:42:24.521680 : Epoch  8, Batch   1076, Loss  0.898072, Average Loss  0.868543, Time  0.238158
2021-09-16 18:42:26.734657 : Epoch 10, Batch    216, Loss  0.885587, Average Loss  0.868562, Time  0.264263
2021-09-16 18:42:27.102854 : Epoch  8, Batch   1077, Loss  0.844257, Average Loss  0.868460, Time  0.238208
2021-09-16 18:42:29.664918 : Epoch  8, Batch   1078, Loss  0.872870, Average Loss  0.868558, Time  0.237916
2021-09-16 18:42:29.721303 : Epoch 10, Batch    217, Loss  0.861562, Average Loss  0.868618, Time  0.265326
2021-09-16 18:42:32.245874 : Epoch  8, Batch   1079, Loss  0.864216, Average Loss  0.868512, Time  0.237670
2021-09-16 18:42:32.733715 : Epoch 10, Batch    218, Loss  0.871740, Average Loss  0.868700, Time  0.265588
2021-09-16 18:42:34.829794 : Epoch  8, Batch   1080, Loss  0.858864, Average Loss  0.868529, Time  0.239049
2021-09-16 18:42:35.718206 : Epoch 10, Batch    219, Loss  0.887273, Average Loss  0.868801, Time  0.265157
2021-09-16 18:42:37.411918 : Epoch  8, Batch   1081, Loss  0.883732, Average Loss  0.868651, Time  0.238153
2021-09-16 18:42:38.737768 : Epoch 10, Batch    220, Loss  0.863676, Average Loss  0.868742, Time  0.265130
2021-09-16 18:42:39.998697 : Epoch  8, Batch   1082, Loss  0.874891, Average Loss  0.868550, Time  0.237676
2021-09-16 18:42:41.791663 : Epoch 10, Batch    221, Loss  0.867328, Average Loss  0.868704, Time  0.265021
2021-09-16 18:42:42.581067 : Epoch  8, Batch   1083, Loss  0.871619, Average Loss  0.868511, Time  0.237833
2021-09-16 18:42:44.794528 : Epoch 10, Batch    222, Loss  0.842039, Average Loss  0.868529, Time  0.265335
2021-09-16 18:42:45.168895 : Epoch  8, Batch   1084, Loss  0.876832, Average Loss  0.868607, Time  0.237788
2021-09-16 18:42:47.728039 : Epoch  8, Batch   1085, Loss  0.878394, Average Loss  0.868676, Time  0.238068
2021-09-16 18:42:47.792292 : Epoch 10, Batch    223, Loss  0.902781, Average Loss  0.868724, Time  0.264015
2021-09-16 18:42:50.315743 : Epoch  8, Batch   1086, Loss  0.873016, Average Loss  0.868716, Time  0.238290
2021-09-16 18:42:50.787155 : Epoch 10, Batch    224, Loss  0.847215, Average Loss  0.868532, Time  0.264509
2021-09-16 18:42:52.902719 : Epoch  8, Batch   1087, Loss  0.885900, Average Loss  0.868803, Time  0.237744
2021-09-16 18:42:53.777004 : Epoch 10, Batch    225, Loss  0.874246, Average Loss  0.868598, Time  0.264196
2021-09-16 18:42:55.498966 : Epoch  8, Batch   1088, Loss  0.858292, Average Loss  0.868651, Time  0.237996
2021-09-16 18:42:56.782212 : Epoch 10, Batch    226, Loss  0.858957, Average Loss  0.868531, Time  0.277879
2021-09-16 18:42:58.085103 : Epoch  8, Batch   1089, Loss  0.865626, Average Loss  0.868580, Time  0.237870
2021-09-16 18:42:59.756813 : Epoch 10, Batch    227, Loss  0.874768, Average Loss  0.868443, Time  0.265765
2021-09-16 18:43:00.686013 : Epoch  8, Batch   1090, Loss  0.877960, Average Loss  0.868586, Time  0.238805
2021-09-16 18:43:02.753543 : Epoch 10, Batch    228, Loss  0.856356, Average Loss  0.868283, Time  0.265138
2021-09-16 18:43:03.267915 : Epoch  8, Batch   1091, Loss  0.874543, Average Loss  0.868629, Time  0.237899
2021-09-16 18:43:05.797050 : Epoch 10, Batch    229, Loss  0.884411, Average Loss  0.868377, Time  0.266367
2021-09-16 18:43:05.837883 : Epoch  8, Batch   1092, Loss  0.856765, Average Loss  0.868525, Time  0.237925
2021-09-16 18:43:08.402935 : Epoch  8, Batch   1093, Loss  0.856547, Average Loss  0.868452, Time  0.238033
2021-09-16 18:43:08.771447 : Epoch 10, Batch    230, Loss  0.886461, Average Loss  0.868583, Time  0.265927
2021-09-16 18:43:10.988688 : Epoch  8, Batch   1094, Loss  0.862484, Average Loss  0.868429, Time  0.237897
2021-09-16 18:43:11.738892 : Epoch 10, Batch    231, Loss  0.880729, Average Loss  0.868665, Time  0.266425
2021-09-16 18:43:13.568878 : Epoch  8, Batch   1095, Loss  0.870610, Average Loss  0.868427, Time  0.237626
2021-09-16 18:43:14.727432 : Epoch 10, Batch    232, Loss  0.848777, Average Loss  0.868603, Time  0.264418
2021-09-16 18:43:16.168857 : Epoch  8, Batch   1096, Loss  0.894160, Average Loss  0.868568, Time  0.237915
2021-09-16 18:43:17.716254 : Epoch 10, Batch    233, Loss  0.886215, Average Loss  0.868778, Time  0.265597
2021-09-16 18:43:18.750022 : Epoch  8, Batch   1097, Loss  0.875152, Average Loss  0.868659, Time  0.238771
2021-09-16 18:43:20.708109 : Epoch 10, Batch    234, Loss  0.860542, Average Loss  0.868676, Time  0.264101
2021-09-16 18:43:21.328969 : Epoch  8, Batch   1098, Loss  0.871197, Average Loss  0.868738, Time  0.237749
2021-09-16 18:43:23.712815 : Epoch 10, Batch    235, Loss  0.838178, Average Loss  0.868536, Time  0.263682
2021-09-16 18:43:23.903756 : Epoch  8, Batch   1099, Loss  0.874860, Average Loss  0.868814, Time  0.237674
2021-09-16 18:43:26.482968 : Epoch  8, Batch   1100, Loss  0.870007, Average Loss  0.868730, Time  0.237755
2021-09-16 18:43:26.691683 : Epoch 10, Batch    236, Loss  0.856002, Average Loss  0.868480, Time  0.265509
2021-09-16 18:43:29.068953 : Epoch  8, Batch   1101, Loss  0.850466, Average Loss  0.868668, Time  0.237604
2021-09-16 18:43:29.713280 : Epoch 10, Batch    237, Loss  0.892868, Average Loss  0.868715, Time  0.265599
2021-09-16 18:43:31.648906 : Epoch  8, Batch   1102, Loss  0.882679, Average Loss  0.868722, Time  0.237598
2021-09-16 18:43:32.686163 : Epoch 10, Batch    238, Loss  0.872886, Average Loss  0.868688, Time  0.263833
2021-09-16 18:43:34.237252 : Epoch  8, Batch   1103, Loss  0.875824, Average Loss  0.868815, Time  0.237635
2021-09-16 18:43:35.676752 : Epoch 10, Batch    239, Loss  0.860342, Average Loss  0.868484, Time  0.265162
2021-09-16 18:43:36.844728 : Epoch  8, Batch   1104, Loss  0.862938, Average Loss  0.868729, Time  0.237736
2021-09-16 18:43:38.653105 : Epoch 10, Batch    240, Loss  0.852275, Average Loss  0.868408, Time  0.263771
2021-09-16 18:43:39.432935 : Epoch  8, Batch   1105, Loss  0.868002, Average Loss  0.868726, Time  0.237716
2021-09-16 18:43:41.644390 : Epoch 10, Batch    241, Loss  0.852209, Average Loss  0.868322, Time  0.274738
2021-09-16 18:43:42.018866 : Epoch  8, Batch   1106, Loss  0.861636, Average Loss  0.868738, Time  0.237469
2021-09-16 18:43:44.594882 : Epoch  8, Batch   1107, Loss  0.867970, Average Loss  0.868718, Time  0.237580
2021-09-16 18:43:44.649814 : Epoch 10, Batch    242, Loss  0.892923, Average Loss  0.868520, Time  0.264923
2021-09-16 18:43:47.192104 : Epoch  8, Batch   1108, Loss  0.863207, Average Loss  0.868660, Time  0.237971
2021-09-16 18:43:47.634377 : Epoch 10, Batch    243, Loss  0.861812, Average Loss  0.868401, Time  0.264779
2021-09-16 18:43:50.597751 : Epoch 10, Batch    244, Loss  0.852917, Average Loss  0.868357, Time  0.264645
2021-09-16 18:43:53.591959 : Epoch 10, Batch    245, Loss  0.876954, Average Loss  0.868340, Time  0.264525
2021-09-16 18:43:56.586279 : Epoch 10, Batch    246, Loss  0.875574, Average Loss  0.868361, Time  0.264552
2021-09-16 18:43:59.590821 : Epoch 10, Batch    247, Loss  0.874135, Average Loss  0.868496, Time  0.265796
2021-09-16 18:44:02.622351 : Epoch 10, Batch    248, Loss  0.855380, Average Loss  0.868438, Time  0.264678
2021-09-16 18:44:05.623099 : Epoch 10, Batch    249, Loss  0.859101, Average Loss  0.868264, Time  0.263975
2021-09-16 18:44:08.604362 : Epoch 10, Batch    250, Loss  0.865172, Average Loss  0.868237, Time  0.264502
2021-09-16 18:44:11.608432 : Epoch 10, Batch    251, Loss  0.873479, Average Loss  0.868208, Time  0.263917
2021-09-16 18:44:14.589187 : Epoch 10, Batch    252, Loss  0.868247, Average Loss  0.868182, Time  0.264173
2021-09-16 18:44:17.574779 : Epoch 10, Batch    253, Loss  0.883610, Average Loss  0.868329, Time  0.264063
2021-09-16 18:44:20.583467 : Epoch 10, Batch    254, Loss  0.875641, Average Loss  0.868344, Time  0.264788
2021-09-16 18:44:23.578267 : Epoch 10, Batch    255, Loss  0.887730, Average Loss  0.868486, Time  0.264008
2021-09-16 18:44:26.607252 : Epoch 10, Batch    256, Loss  0.855328, Average Loss  0.868430, Time  0.273175
2021-09-16 18:44:29.594019 : Epoch 10, Batch    257, Loss  0.879244, Average Loss  0.868532, Time  0.264287
2021-09-16 18:44:32.551038 : Epoch 10, Batch    258, Loss  0.880690, Average Loss  0.868628, Time  0.264111
2021-09-16 18:44:35.530385 : Epoch 10, Batch    259, Loss  0.857139, Average Loss  0.868512, Time  0.264988
2021-09-16 18:44:38.483373 : Epoch 10, Batch    260, Loss  0.852789, Average Loss  0.868422, Time  0.263829
2021-09-16 18:44:41.481998 : Epoch 10, Batch    261, Loss  0.872736, Average Loss  0.868485, Time  0.263890
2021-09-16 18:44:44.483181 : Epoch 10, Batch    262, Loss  0.849908, Average Loss  0.868447, Time  0.263909
2021-09-16 18:44:47.448269 : Epoch 10, Batch    263, Loss  0.869352, Average Loss  0.868582, Time  0.264227
2021-09-16 18:44:50.411698 : Epoch 10, Batch    264, Loss  0.879191, Average Loss  0.868579, Time  0.264336
2021-09-16 18:44:53.412721 : Epoch 10, Batch    265, Loss  0.859112, Average Loss  0.868444, Time  0.263956
2021-09-16 18:44:56.375693 : Epoch 10, Batch    266, Loss  0.879164, Average Loss  0.868490, Time  0.264468
2021-09-16 18:44:59.341746 : Epoch 10, Batch    267, Loss  0.886051, Average Loss  0.868576, Time  0.263730
2021-09-16 18:45:02.321260 : Epoch 10, Batch    268, Loss  0.853133, Average Loss  0.868595, Time  0.266463
2021-09-16 18:45:05.341927 : Epoch 10, Batch    269, Loss  0.857673, Average Loss  0.868645, Time  0.265494
2021-09-16 18:45:08.295505 : Epoch 10, Batch    270, Loss  0.885885, Average Loss  0.868618, Time  0.265201
2021-09-16 18:45:11.295436 : Epoch 10, Batch    271, Loss  0.863645, Average Loss  0.868664, Time  0.277043
2021-09-16 18:45:14.251500 : Epoch 10, Batch    272, Loss  0.867596, Average Loss  0.868607, Time  0.265306
2021-09-16 18:45:17.271159 : Epoch 10, Batch    273, Loss  0.854245, Average Loss  0.868656, Time  0.263768
2021-09-16 18:45:20.242576 : Epoch 10, Batch    274, Loss  0.871481, Average Loss  0.868627, Time  0.264212
2021-09-16 18:45:23.221593 : Epoch 10, Batch    275, Loss  0.868420, Average Loss  0.868596, Time  0.265479
2021-09-16 18:45:26.223132 : Epoch 10, Batch    276, Loss  0.853922, Average Loss  0.868453, Time  0.264760
2021-09-16 18:45:29.192148 : Epoch 10, Batch    277, Loss  0.863992, Average Loss  0.868467, Time  0.264239
2021-09-16 18:45:32.156514 : Epoch 10, Batch    278, Loss  0.871092, Average Loss  0.868504, Time  0.264146
2021-09-16 18:45:35.124180 : Epoch 10, Batch    279, Loss  0.870187, Average Loss  0.868653, Time  0.265083
2021-09-16 18:45:38.109452 : Epoch 10, Batch    280, Loss  0.860686, Average Loss  0.868753, Time  0.263968
2021-09-16 18:45:41.077836 : Epoch 10, Batch    281, Loss  0.863209, Average Loss  0.868798, Time  0.263651
2021-09-16 18:45:44.055771 : Epoch 10, Batch    282, Loss  0.854324, Average Loss  0.868728, Time  0.263492
2021-09-16 18:45:47.091173 : Epoch 10, Batch    283, Loss  0.877062, Average Loss  0.868787, Time  0.265658
2021-09-16 18:45:50.081448 : Epoch 10, Batch    284, Loss  0.877801, Average Loss  0.868780, Time  0.264235
2021-09-16 18:45:53.043303 : Epoch 10, Batch    285, Loss  0.867469, Average Loss  0.868765, Time  0.265330
2021-09-16 18:45:56.007365 : Epoch 10, Batch    286, Loss  0.861776, Average Loss  0.868878, Time  0.274444
2021-09-16 18:45:58.976988 : Epoch 10, Batch    287, Loss  0.872845, Average Loss  0.868937, Time  0.264551
2021-09-16 18:46:01.977211 : Epoch 10, Batch    288, Loss  0.867005, Average Loss  0.868996, Time  0.264965
2021-09-16 18:46:04.975897 : Epoch 10, Batch    289, Loss  0.881225, Average Loss  0.868961, Time  0.264358
2021-09-16 18:46:07.940769 : Epoch 10, Batch    290, Loss  0.857491, Average Loss  0.868911, Time  0.264182
2021-09-16 18:46:10.902246 : Epoch 10, Batch    291, Loss  0.866622, Average Loss  0.868890, Time  0.264381
2021-09-16 18:46:13.881068 : Epoch 10, Batch    292, Loss  0.881986, Average Loss  0.868830, Time  0.264021
2021-09-16 18:46:16.836085 : Epoch 10, Batch    293, Loss  0.850323, Average Loss  0.868691, Time  0.264161
2021-09-16 18:46:19.818108 : Epoch 10, Batch    294, Loss  0.875506, Average Loss  0.868812, Time  0.264447
2021-09-16 18:46:22.792688 : Epoch 10, Batch    295, Loss  0.885418, Average Loss  0.868842, Time  0.264196
2021-09-16 18:46:31.381826 : Epoch 10, Batch    296, Loss  0.849023, Average Loss  0.868708, Time  0.264554
2021-09-16 18:47:42.001679 : CheckPoint: Validation Loss  0.00030370, Best Loss  0.00029207
2021-09-16 18:47:44.581867 : Epoch  8, Batch   1109, Loss  0.857640, Average Loss  0.868655, Time  0.274022
2021-09-16 18:47:47.158678 : Epoch  8, Batch   1110, Loss  0.866386, Average Loss  0.868712, Time  0.251386
2021-09-16 18:47:49.713329 : Epoch  8, Batch   1111, Loss  0.862730, Average Loss  0.868729, Time  0.238403
2021-09-16 18:47:52.272359 : Epoch  8, Batch   1112, Loss  0.856985, Average Loss  0.868733, Time  0.238254
2021-09-16 18:47:54.827823 : Epoch  8, Batch   1113, Loss  0.865056, Average Loss  0.868618, Time  0.237354
2021-09-16 18:47:57.394950 : Epoch  8, Batch   1114, Loss  0.867611, Average Loss  0.868624, Time  0.237881
2021-09-16 18:47:59.955020 : Epoch  8, Batch   1115, Loss  0.852984, Average Loss  0.868533, Time  0.237631
2021-09-16 18:48:02.511044 : Epoch  8, Batch   1116, Loss  0.846079, Average Loss  0.868434, Time  0.237463
2021-09-16 18:48:05.071814 : Epoch  8, Batch   1117, Loss  0.876803, Average Loss  0.868357, Time  0.239002
2021-09-16 18:48:07.633855 : Epoch  8, Batch   1118, Loss  0.861668, Average Loss  0.868264, Time  0.237936
2021-09-16 18:48:10.184048 : Epoch  8, Batch   1119, Loss  0.887681, Average Loss  0.868429, Time  0.237690
2021-09-16 18:48:12.739876 : Epoch  8, Batch   1120, Loss  0.844365, Average Loss  0.868344, Time  0.238090
2021-09-16 18:48:15.296729 : Epoch  8, Batch   1121, Loss  0.859829, Average Loss  0.868311, Time  0.237773
2021-09-16 18:48:17.865836 : Epoch  8, Batch   1122, Loss  0.873591, Average Loss  0.868368, Time  0.237830
2021-09-16 18:48:20.415082 : Epoch  8, Batch   1123, Loss  0.880113, Average Loss  0.868392, Time  0.237543
2021-09-16 18:48:22.962703 : Epoch  8, Batch   1124, Loss  0.857497, Average Loss  0.868250, Time  0.237536
2021-09-16 18:48:25.510048 : Epoch  8, Batch   1125, Loss  0.898791, Average Loss  0.868335, Time  0.237539
2021-09-16 18:48:28.067133 : Epoch  8, Batch   1126, Loss  0.892710, Average Loss  0.868533, Time  0.237517
2021-09-16 18:48:30.622938 : Epoch  8, Batch   1127, Loss  0.882809, Average Loss  0.868633, Time  0.238329
2021-09-16 18:48:33.178846 : Epoch  8, Batch   1128, Loss  0.866050, Average Loss  0.868672, Time  0.237906
2021-09-16 18:48:35.731023 : Epoch  8, Batch   1129, Loss  0.856011, Average Loss  0.868615, Time  0.237804
2021-09-16 18:48:38.286681 : Epoch  8, Batch   1130, Loss  0.865538, Average Loss  0.868617, Time  0.239139
2021-09-16 18:48:40.841842 : Epoch  8, Batch   1131, Loss  0.878154, Average Loss  0.868650, Time  0.237933
2021-09-16 18:48:43.393042 : Epoch  8, Batch   1132, Loss  0.868251, Average Loss  0.868666, Time  0.238046
2021-09-16 18:48:45.944309 : Epoch  8, Batch   1133, Loss  0.881919, Average Loss  0.868619, Time  0.237700
2021-09-16 18:48:48.501871 : Epoch  8, Batch   1134, Loss  0.860408, Average Loss  0.868631, Time  0.237865
2021-09-16 18:48:51.063837 : Epoch  8, Batch   1135, Loss  0.866173, Average Loss  0.868669, Time  0.237668
2021-09-16 18:48:53.621899 : Epoch  8, Batch   1136, Loss  0.871978, Average Loss  0.868744, Time  0.238053
2021-09-16 18:48:56.192702 : Epoch  8, Batch   1137, Loss  0.857033, Average Loss  0.868640, Time  0.238025
2021-09-16 18:48:58.747919 : Epoch  8, Batch   1138, Loss  0.888183, Average Loss  0.868849, Time  0.238004
2021-09-16 18:49:01.313661 : Epoch  8, Batch   1139, Loss  0.878156, Average Loss  0.868903, Time  0.237574
2021-09-16 18:49:03.875672 : Epoch  8, Batch   1140, Loss  0.893130, Average Loss  0.868948, Time  0.238129
2021-09-16 18:49:06.450897 : Epoch  8, Batch   1141, Loss  0.867983, Average Loss  0.869034, Time  0.237444
2021-09-16 18:49:09.000911 : Epoch  8, Batch   1142, Loss  0.860036, Average Loss  0.869003, Time  0.237623
2021-09-16 18:49:11.558671 : Epoch  8, Batch   1143, Loss  0.884383, Average Loss  0.869146, Time  0.238155
2021-09-16 18:49:14.135927 : Epoch  8, Batch   1144, Loss  0.850246, Average Loss  0.869067, Time  0.238212
2021-09-16 18:49:16.699716 : Epoch  8, Batch   1145, Loss  0.876564, Average Loss  0.869143, Time  0.237391
2021-09-16 18:49:19.258119 : Epoch  8, Batch   1146, Loss  0.872813, Average Loss  0.869167, Time  0.237769
2021-09-16 18:49:21.815898 : Epoch  8, Batch   1147, Loss  0.877201, Average Loss  0.869263, Time  0.237218
2021-09-16 18:49:24.384724 : Epoch  8, Batch   1148, Loss  0.848723, Average Loss  0.869157, Time  0.237808
2021-09-16 18:49:26.953911 : Epoch  8, Batch   1149, Loss  0.874396, Average Loss  0.869168, Time  0.237983
2021-09-16 18:49:29.511641 : Epoch  8, Batch   1150, Loss  0.856591, Average Loss  0.869169, Time  0.237625
2021-09-16 18:49:32.071875 : Epoch  8, Batch   1151, Loss  0.863552, Average Loss  0.869126, Time  0.237771
2021-09-16 18:49:34.629890 : Epoch  8, Batch   1152, Loss  0.889086, Average Loss  0.869239, Time  0.237900
2021-09-16 18:49:37.192967 : Epoch  8, Batch   1153, Loss  0.870411, Average Loss  0.869311, Time  0.238366
2021-09-16 18:49:39.742197 : Epoch  8, Batch   1154, Loss  0.873689, Average Loss  0.869381, Time  0.237799
2021-09-16 18:49:42.296836 : Epoch  8, Batch   1155, Loss  0.865105, Average Loss  0.869483, Time  0.237725
2021-09-16 18:49:44.861712 : Epoch  8, Batch   1156, Loss  0.881838, Average Loss  0.869569, Time  0.237708
2021-09-16 18:49:47.419113 : Epoch  8, Batch   1157, Loss  0.868245, Average Loss  0.869613, Time  0.238237
2021-09-16 18:49:50.009841 : Epoch  8, Batch   1158, Loss  0.873670, Average Loss  0.869677, Time  0.237453
2021-09-16 18:49:52.562918 : Epoch  8, Batch   1159, Loss  0.873048, Average Loss  0.869714, Time  0.237533
2021-09-16 18:49:55.113896 : Epoch  8, Batch   1160, Loss  0.872465, Average Loss  0.869729, Time  0.237817
2021-09-16 18:49:57.662841 : Epoch  8, Batch   1161, Loss  0.860900, Average Loss  0.869667, Time  0.237474
2021-09-16 18:50:00.223931 : Epoch  8, Batch   1162, Loss  0.864093, Average Loss  0.869708, Time  0.238098
2021-09-16 18:50:02.779082 : Epoch  8, Batch   1163, Loss  0.879104, Average Loss  0.869743, Time  0.237619
2021-09-16 18:50:05.348948 : Epoch  8, Batch   1164, Loss  0.881004, Average Loss  0.869824, Time  0.237964
2021-09-16 18:50:07.905945 : Epoch  8, Batch   1165, Loss  0.875368, Average Loss  0.869846, Time  0.237688
2021-09-16 18:50:10.468733 : Epoch  8, Batch   1166, Loss  0.893961, Average Loss  0.869977, Time  0.237411
2021-09-16 18:50:13.022800 : Epoch  8, Batch   1167, Loss  0.856085, Average Loss  0.869881, Time  0.237381
2021-09-16 18:50:15.576081 : Epoch  8, Batch   1168, Loss  0.857286, Average Loss  0.869744, Time  0.237468
2021-09-16 18:50:18.124937 : Epoch  8, Batch   1169, Loss  0.873930, Average Loss  0.869727, Time  0.237612
2021-09-16 18:50:20.678962 : Epoch  8, Batch   1170, Loss  0.852693, Average Loss  0.869627, Time  0.237525
2021-09-16 18:50:23.228032 : Epoch  8, Batch   1171, Loss  0.888130, Average Loss  0.869722, Time  0.237492
2021-09-16 18:50:25.776684 : Epoch  8, Batch   1172, Loss  0.868196, Average Loss  0.869679, Time  0.237865
2021-09-16 18:50:28.343842 : Epoch  8, Batch   1173, Loss  0.879397, Average Loss  0.869893, Time  0.237828
2021-09-16 18:50:30.906863 : Epoch  8, Batch   1174, Loss  0.884830, Average Loss  0.869969, Time  0.237945
2021-09-16 18:50:33.459896 : Epoch  8, Batch   1175, Loss  0.866757, Average Loss  0.869903, Time  0.237694
2021-09-16 18:50:36.013705 : Epoch  8, Batch   1176, Loss  0.880045, Average Loss  0.869979, Time  0.237767
2021-09-16 18:50:38.568398 : Epoch  8, Batch   1177, Loss  0.877739, Average Loss  0.869980, Time  0.237691
2021-09-16 18:50:41.114863 : Epoch  8, Batch   1178, Loss  0.892686, Average Loss  0.870081, Time  0.237803
2021-09-16 18:50:43.676060 : Epoch  8, Batch   1179, Loss  0.850136, Average Loss  0.869975, Time  0.237638
2021-09-16 18:50:46.226727 : Epoch  8, Batch   1180, Loss  0.861482, Average Loss  0.869993, Time  0.238086
2021-09-16 18:50:48.773509 : Epoch  8, Batch   1181, Loss  0.876354, Average Loss  0.870123, Time  0.237574
2021-09-16 18:50:51.320357 : Epoch  8, Batch   1182, Loss  0.878378, Average Loss  0.870102, Time  0.237420
2021-09-16 18:50:53.881948 : Epoch  8, Batch   1183, Loss  0.862195, Average Loss  0.870084, Time  0.238207
2021-09-16 18:50:56.440696 : Epoch  8, Batch   1184, Loss  0.866488, Average Loss  0.870008, Time  0.237835
2021-09-16 18:50:59.024848 : Epoch  8, Batch   1185, Loss  0.883006, Average Loss  0.870028, Time  0.237521
2021-09-16 18:51:01.586787 : Epoch  8, Batch   1186, Loss  0.873609, Average Loss  0.870057, Time  0.238297
2021-09-16 18:51:04.148905 : Epoch  8, Batch   1187, Loss  0.853079, Average Loss  0.870065, Time  0.237640
2021-09-16 18:51:06.709748 : Epoch  8, Batch   1188, Loss  0.862569, Average Loss  0.870046, Time  0.238338
2021-09-16 18:51:06.880645 : CheckPoint: Validation Loss  0.00030330, Best Loss  0.00029014
2021-09-16 18:51:09.262952 : Epoch  8, Batch   1189, Loss  0.873555, Average Loss  0.869965, Time  0.237566
2021-09-16 18:51:09.852926 : Epoch 10, Batch    297, Loss  0.882999, Average Loss  0.868700, Time  0.264729
2021-09-16 18:51:11.813670 : Epoch  8, Batch   1190, Loss  0.867263, Average Loss  0.869914, Time  0.237692
2021-09-16 18:51:12.850789 : Epoch 10, Batch    298, Loss  0.884150, Average Loss  0.868708, Time  0.264657
2021-09-16 18:51:14.367929 : Epoch  8, Batch   1191, Loss  0.885175, Average Loss  0.870082, Time  0.237864
2021-09-16 18:51:15.833065 : Epoch 10, Batch    299, Loss  0.887775, Average Loss  0.868804, Time  0.263823
2021-09-16 18:51:16.914892 : Epoch  8, Batch   1192, Loss  0.876240, Average Loss  0.870081, Time  0.237715
2021-09-16 18:51:18.795293 : Epoch 10, Batch    300, Loss  0.864430, Average Loss  0.868828, Time  0.265173
2021-09-16 18:51:19.471675 : Epoch  8, Batch   1193, Loss  0.859196, Average Loss  0.870106, Time  0.237696
2021-09-16 18:51:21.780611 : Epoch 10, Batch    301, Loss  0.873873, Average Loss  0.868789, Time  0.278401
2021-09-16 18:51:22.029924 : Epoch  8, Batch   1194, Loss  0.867513, Average Loss  0.870128, Time  0.237263
2021-09-16 18:51:24.571720 : Epoch  8, Batch   1195, Loss  0.879858, Average Loss  0.870146, Time  0.237479
2021-09-16 18:51:24.753292 : Epoch 10, Batch    302, Loss  0.871353, Average Loss  0.868866, Time  0.265491
2021-09-16 18:51:27.131664 : Epoch  8, Batch   1196, Loss  0.845717, Average Loss  0.870114, Time  0.237686
2021-09-16 18:51:27.736410 : Epoch 10, Batch    303, Loss  0.874922, Average Loss  0.868901, Time  0.265769
2021-09-16 18:51:29.690900 : Epoch  8, Batch   1197, Loss  0.875510, Average Loss  0.869995, Time  0.237893
2021-09-16 18:51:30.712130 : Epoch 10, Batch    304, Loss  0.863662, Average Loss  0.868855, Time  0.264230
2021-09-16 18:51:32.259016 : Epoch  8, Batch   1198, Loss  0.855330, Average Loss  0.869912, Time  0.239419
2021-09-16 18:51:33.678245 : Epoch 10, Batch    305, Loss  0.863546, Average Loss  0.868975, Time  0.264040
2021-09-16 18:51:34.816918 : Epoch  8, Batch   1199, Loss  0.881809, Average Loss  0.870026, Time  0.237394
2021-09-16 18:51:36.656064 : Epoch 10, Batch    306, Loss  0.864663, Average Loss  0.868887, Time  0.265313
2021-09-16 18:51:37.390274 : Epoch  8, Batch   1200, Loss  0.879039, Average Loss  0.870076, Time  0.237962
2021-09-16 18:51:39.654826 : Epoch 10, Batch    307, Loss  0.872672, Average Loss  0.868819, Time  0.264276
2021-09-16 18:51:39.935820 : Epoch  8, Batch   1201, Loss  0.873790, Average Loss  0.870131, Time  0.237747
2021-09-16 18:51:42.479792 : Epoch  8, Batch   1202, Loss  0.874553, Average Loss  0.870164, Time  0.237499
2021-09-16 18:51:42.616688 : Epoch 10, Batch    308, Loss  0.859272, Average Loss  0.868720, Time  0.264045
2021-09-16 18:51:45.042182 : Epoch  8, Batch   1203, Loss  0.869120, Average Loss  0.870131, Time  0.237746
2021-09-16 18:51:45.574231 : Epoch 10, Batch    309, Loss  0.874571, Average Loss  0.868787, Time  0.264687
2021-09-16 18:51:47.604702 : Epoch  8, Batch   1204, Loss  0.889812, Average Loss  0.870242, Time  0.237742
2021-09-16 18:51:48.560793 : Epoch 10, Batch    310, Loss  0.859932, Average Loss  0.868749, Time  0.265335
2021-09-16 18:51:50.164924 : Epoch  8, Batch   1205, Loss  0.861709, Average Loss  0.870075, Time  0.237319
2021-09-16 18:51:51.570618 : Epoch 10, Batch    311, Loss  0.885163, Average Loss  0.868773, Time  0.264140
2021-09-16 18:51:52.734138 : Epoch  8, Batch   1206, Loss  0.850037, Average Loss  0.869972, Time  0.237920
2021-09-16 18:51:54.528033 : Epoch 10, Batch    312, Loss  0.867474, Average Loss  0.868768, Time  0.264513
2021-09-16 18:51:55.297877 : Epoch  8, Batch   1207, Loss  0.868308, Average Loss  0.869918, Time  0.238056
2021-09-16 18:51:57.485559 : Epoch 10, Batch    313, Loss  0.859369, Average Loss  0.868622, Time  0.264989
2021-09-16 18:51:57.854698 : Epoch  8, Batch   1208, Loss  0.870403, Average Loss  0.869832, Time  0.237406
2021-09-16 18:52:00.451933 : Epoch 10, Batch    314, Loss  0.874673, Average Loss  0.868626, Time  0.263924
2021-09-16 18:52:03.430226 : Epoch 10, Batch    315, Loss  0.868444, Average Loss  0.868451, Time  0.265443
2021-09-16 18:52:06.419146 : Epoch 10, Batch    316, Loss  0.869342, Average Loss  0.868488, Time  0.277165
2021-09-16 18:52:09.426149 : Epoch 10, Batch    317, Loss  0.871655, Average Loss  0.868472, Time  0.264755
2021-09-16 18:52:12.382579 : Epoch 10, Batch    318, Loss  0.867186, Average Loss  0.868528, Time  0.263909
2021-09-16 18:52:15.362170 : Epoch 10, Batch    319, Loss  0.862441, Average Loss  0.868438, Time  0.265362
2021-09-16 18:52:18.368331 : Epoch 10, Batch    320, Loss  0.849856, Average Loss  0.868279, Time  0.265124
2021-09-16 18:52:21.359184 : Epoch 10, Batch    321, Loss  0.859656, Average Loss  0.868211, Time  0.265547
2021-09-16 18:52:24.357716 : Epoch 10, Batch    322, Loss  0.862848, Average Loss  0.868287, Time  0.264046
2021-09-16 18:52:27.335039 : Epoch 10, Batch    323, Loss  0.839939, Average Loss  0.868150, Time  0.264154
2021-09-16 18:52:30.325805 : Epoch 10, Batch    324, Loss  0.878639, Average Loss  0.868086, Time  0.264050
2021-09-16 18:52:33.288353 : Epoch 10, Batch    325, Loss  0.861641, Average Loss  0.868012, Time  0.264056
2021-09-16 18:52:36.257085 : Epoch 10, Batch    326, Loss  0.884507, Average Loss  0.868056, Time  0.264512
2021-09-16 18:52:39.234109 : Epoch 10, Batch    327, Loss  0.866803, Average Loss  0.868009, Time  0.264620
2021-09-16 18:52:42.200890 : Epoch 10, Batch    328, Loss  0.850239, Average Loss  0.868003, Time  0.264782
2021-09-16 18:52:45.206749 : Epoch 10, Batch    329, Loss  0.865814, Average Loss  0.867970, Time  0.264167
2021-09-16 18:52:48.186518 : Epoch 10, Batch    330, Loss  0.866196, Average Loss  0.867824, Time  0.265750
2021-09-16 18:52:51.168775 : Epoch 10, Batch    331, Loss  0.881737, Average Loss  0.867884, Time  0.271190
2021-09-16 18:52:54.149548 : Epoch 10, Batch    332, Loss  0.849718, Average Loss  0.867896, Time  0.265143
2021-09-16 18:52:57.130661 : Epoch 10, Batch    333, Loss  0.856209, Average Loss  0.867898, Time  0.264214
2021-09-16 18:53:00.114945 : Epoch 10, Batch    334, Loss  0.864820, Average Loss  0.867748, Time  0.264003
2021-09-16 18:53:03.077380 : Epoch 10, Batch    335, Loss  0.865459, Average Loss  0.867646, Time  0.264468
2021-09-16 18:53:06.057712 : Epoch 10, Batch    336, Loss  0.841221, Average Loss  0.867483, Time  0.265169
2021-09-16 18:53:09.047802 : Epoch 10, Batch    337, Loss  0.875566, Average Loss  0.867360, Time  0.264184
2021-09-16 18:53:12.067554 : Epoch 10, Batch    338, Loss  0.885009, Average Loss  0.867497, Time  0.265675
2021-09-16 18:53:15.071492 : Epoch 10, Batch    339, Loss  0.882841, Average Loss  0.867598, Time  0.265878
2021-09-16 18:53:18.032693 : Epoch 10, Batch    340, Loss  0.874723, Average Loss  0.867642, Time  0.265170
2021-09-16 18:53:21.008899 : Epoch 10, Batch    341, Loss  0.866063, Average Loss  0.867738, Time  0.264656
2021-09-16 18:53:23.979368 : Epoch 10, Batch    342, Loss  0.869515, Average Loss  0.867767, Time  0.264321
2021-09-16 18:53:26.939522 : Epoch 10, Batch    343, Loss  0.874277, Average Loss  0.867769, Time  0.263434
2021-09-16 18:53:29.899954 : Epoch 10, Batch    344, Loss  0.869095, Average Loss  0.867766, Time  0.265582
2021-09-16 18:53:32.912858 : Epoch 10, Batch    345, Loss  0.868017, Average Loss  0.867788, Time  0.263991
2021-09-16 18:53:35.883903 : Epoch 10, Batch    346, Loss  0.884480, Average Loss  0.867813, Time  0.263674
2021-09-16 18:53:38.857377 : Epoch 10, Batch    347, Loss  0.860091, Average Loss  0.867834, Time  0.276008
2021-09-16 18:53:41.850012 : Epoch 10, Batch    348, Loss  0.873838, Average Loss  0.867767, Time  0.264479
2021-09-16 18:53:44.818441 : Epoch 10, Batch    349, Loss  0.872672, Average Loss  0.867757, Time  0.264593
2021-09-16 18:53:47.805122 : Epoch 10, Batch    350, Loss  0.887714, Average Loss  0.867898, Time  0.265117
2021-09-16 18:53:50.793049 : Epoch 10, Batch    351, Loss  0.874834, Average Loss  0.867880, Time  0.264475
2021-09-16 18:53:53.754137 : Epoch 10, Batch    352, Loss  0.874448, Average Loss  0.867932, Time  0.263754
2021-09-16 18:53:56.741218 : Epoch 10, Batch    353, Loss  0.860039, Average Loss  0.867887, Time  0.265036
2021-09-16 18:53:59.735150 : Epoch 10, Batch    354, Loss  0.861164, Average Loss  0.867822, Time  0.264124
2021-09-16 18:54:02.772939 : Epoch 10, Batch    355, Loss  0.844991, Average Loss  0.867602, Time  0.263590
2021-09-16 18:54:05.762016 : Epoch 10, Batch    356, Loss  0.848767, Average Loss  0.867440, Time  0.263486
2021-09-16 18:54:08.746349 : Epoch 10, Batch    357, Loss  0.867324, Average Loss  0.867427, Time  0.265358
2021-09-16 18:54:11.705297 : Epoch 10, Batch    358, Loss  0.855542, Average Loss  0.867408, Time  0.263637
2021-09-16 18:54:14.695951 : Epoch 10, Batch    359, Loss  0.863180, Average Loss  0.867344, Time  0.265043
2021-09-16 18:54:17.665743 : Epoch 10, Batch    360, Loss  0.846443, Average Loss  0.867159, Time  0.264538
2021-09-16 18:54:20.653737 : Epoch 10, Batch    361, Loss  0.869517, Average Loss  0.867139, Time  0.265872
2021-09-16 18:54:23.635013 : Epoch 10, Batch    362, Loss  0.888897, Average Loss  0.867326, Time  0.275826
2021-09-16 18:54:26.618227 : Epoch 10, Batch    363, Loss  0.895305, Average Loss  0.867478, Time  0.264953
2021-09-16 18:54:29.606831 : Epoch 10, Batch    364, Loss  0.863683, Average Loss  0.867437, Time  0.265178
2021-09-16 18:54:32.590819 : Epoch 10, Batch    365, Loss  0.897283, Average Loss  0.867622, Time  0.264767
2021-09-16 18:54:35.598636 : Epoch 10, Batch    366, Loss  0.860298, Average Loss  0.867683, Time  0.264583
2021-09-16 18:54:38.564125 : Epoch 10, Batch    367, Loss  0.879490, Average Loss  0.867709, Time  0.264212
2021-09-16 18:54:41.543108 : Epoch 10, Batch    368, Loss  0.858645, Average Loss  0.867592, Time  0.264853
2021-09-16 18:54:44.536881 : Epoch 10, Batch    369, Loss  0.871367, Average Loss  0.867643, Time  0.264294
2021-09-16 18:54:47.509565 : Epoch 10, Batch    370, Loss  0.860666, Average Loss  0.867614, Time  0.265754
2021-09-16 18:54:50.496956 : Epoch 10, Batch    371, Loss  0.843308, Average Loss  0.867494, Time  0.265406
2021-09-16 18:54:53.473303 : Epoch 10, Batch    372, Loss  0.855986, Average Loss  0.867437, Time  0.266314
2021-09-16 18:54:56.461006 : Epoch 10, Batch    373, Loss  0.866514, Average Loss  0.867458, Time  0.263677
2021-09-16 18:54:59.430134 : Epoch 10, Batch    374, Loss  0.867335, Average Loss  0.867442, Time  0.264804
2021-09-16 18:55:02.411591 : Epoch 10, Batch    375, Loss  0.871863, Average Loss  0.867546, Time  0.263738
2021-09-16 18:55:05.382013 : Epoch 10, Batch    376, Loss  0.885198, Average Loss  0.867761, Time  0.266012
2021-09-16 18:55:08.363448 : Epoch 10, Batch    377, Loss  0.869050, Average Loss  0.867628, Time  0.273128
2021-09-16 18:55:11.351688 : Epoch 10, Batch    378, Loss  0.864414, Average Loss  0.867652, Time  0.265931
2021-09-16 18:55:14.330929 : Epoch 10, Batch    379, Loss  0.865258, Average Loss  0.867635, Time  0.265303
2021-09-16 18:55:17.320337 : Epoch 10, Batch    380, Loss  0.865016, Average Loss  0.867630, Time  0.265120
2021-09-16 18:55:20.322349 : Epoch 10, Batch    381, Loss  0.888619, Average Loss  0.867746, Time  0.264909
2021-09-16 18:55:23.331956 : Epoch 10, Batch    382, Loss  0.880088, Average Loss  0.867696, Time  0.265463
2021-09-16 18:55:26.312066 : Epoch 10, Batch    383, Loss  0.868605, Average Loss  0.867698, Time  0.266013
2021-09-16 18:55:29.320257 : Epoch 10, Batch    384, Loss  0.874118, Average Loss  0.867752, Time  0.264867
2021-09-16 18:55:32.283134 : Epoch 10, Batch    385, Loss  0.853149, Average Loss  0.867666, Time  0.264366
2021-09-16 18:55:35.270134 : Epoch 10, Batch    386, Loss  0.881678, Average Loss  0.867775, Time  0.263893
2021-09-16 18:55:38.233004 : Epoch 10, Batch    387, Loss  0.863454, Average Loss  0.867805, Time  0.264288
2021-09-16 18:55:41.203170 : Epoch 10, Batch    388, Loss  0.892333, Average Loss  0.867944, Time  0.267175
2021-09-16 18:55:44.202415 : Epoch 10, Batch    389, Loss  0.869433, Average Loss  0.868089, Time  0.264969
2021-09-16 18:55:47.201876 : Epoch 10, Batch    390, Loss  0.884739, Average Loss  0.868184, Time  0.265373
2021-09-16 18:55:50.220770 : Epoch 10, Batch    391, Loss  0.888348, Average Loss  0.868255, Time  0.264562
2021-09-16 18:55:52.283680 : CheckPoint: Validation Loss  0.00030743, Best Loss  0.00029207
2021-09-16 18:55:53.206245 : Epoch 10, Batch    392, Loss  0.871938, Average Loss  0.868270, Time  0.278090
2021-09-16 18:55:54.833973 : Epoch  8, Batch   1209, Loss  0.855511, Average Loss  0.869699, Time  0.237566
2021-09-16 18:55:56.196150 : Epoch 10, Batch    393, Loss  0.881971, Average Loss  0.868424, Time  0.265974
2021-09-16 18:55:57.390087 : Epoch  8, Batch   1210, Loss  0.870252, Average Loss  0.869695, Time  0.237417
2021-09-16 18:55:59.182535 : Epoch 10, Batch    394, Loss  0.874514, Average Loss  0.868436, Time  0.265071
2021-09-16 18:55:59.944780 : Epoch  8, Batch   1211, Loss  0.881421, Average Loss  0.869733, Time  0.237736
2021-09-16 18:56:02.180444 : Epoch 10, Batch    395, Loss  0.872939, Average Loss  0.868429, Time  0.264914
2021-09-16 18:56:02.501079 : Epoch  8, Batch   1212, Loss  0.877164, Average Loss  0.869774, Time  0.237669
2021-09-16 18:56:05.048676 : Epoch  8, Batch   1213, Loss  0.868809, Average Loss  0.869691, Time  0.237567
2021-09-16 18:56:05.183888 : Epoch 10, Batch    396, Loss  0.863144, Average Loss  0.868432, Time  0.264741
2021-09-16 18:56:07.608741 : Epoch  8, Batch   1214, Loss  0.845536, Average Loss  0.869566, Time  0.238147
2021-09-16 18:56:10.157797 : Epoch  8, Batch   1215, Loss  0.876075, Average Loss  0.869760, Time  0.237155
2021-09-16 18:56:12.718158 : Epoch  8, Batch   1216, Loss  0.887470, Average Loss  0.869712, Time  0.237884
2021-09-16 18:56:15.270867 : Epoch  8, Batch   1217, Loss  0.854758, Average Loss  0.869673, Time  0.237394
2021-09-16 18:56:17.829133 : Epoch  8, Batch   1218, Loss  0.864249, Average Loss  0.869510, Time  0.237755
2021-09-16 18:56:20.392853 : Epoch  8, Batch   1219, Loss  0.889467, Average Loss  0.869669, Time  0.237883
2021-09-16 18:56:22.939951 : Epoch  8, Batch   1220, Loss  0.895847, Average Loss  0.869880, Time  0.237750
2021-09-16 18:56:25.490094 : Epoch  8, Batch   1221, Loss  0.903526, Average Loss  0.870150, Time  0.237335
2021-09-16 18:56:28.040890 : Epoch  8, Batch   1222, Loss  0.858759, Average Loss  0.870152, Time  0.237720
2021-09-16 18:56:30.625879 : Epoch  8, Batch   1223, Loss  0.837504, Average Loss  0.870040, Time  0.237809
2021-09-16 18:56:33.179990 : Epoch  8, Batch   1224, Loss  0.898697, Average Loss  0.870207, Time  0.237674
2021-09-16 18:56:35.736907 : Epoch  8, Batch   1225, Loss  0.845015, Average Loss  0.870133, Time  0.237252
2021-09-16 18:56:38.299110 : Epoch  8, Batch   1226, Loss  0.859309, Average Loss  0.870121, Time  0.237691
2021-09-16 18:56:40.855822 : Epoch  8, Batch   1227, Loss  0.867287, Average Loss  0.870108, Time  0.239045
2021-09-16 18:56:43.413883 : Epoch  8, Batch   1228, Loss  0.853721, Average Loss  0.870154, Time  0.238011
2021-09-16 18:56:45.962849 : Epoch  8, Batch   1229, Loss  0.883298, Average Loss  0.870255, Time  0.237975
2021-09-16 18:56:48.520712 : Epoch  8, Batch   1230, Loss  0.855951, Average Loss  0.870248, Time  0.237549
2021-09-16 18:56:51.072812 : Epoch  8, Batch   1231, Loss  0.875261, Average Loss  0.870256, Time  0.237383
2021-09-16 18:56:53.635361 : Epoch  8, Batch   1232, Loss  0.878630, Average Loss  0.870311, Time  0.238765
2021-09-16 18:56:56.186952 : Epoch  8, Batch   1233, Loss  0.865987, Average Loss  0.870406, Time  0.237447
2021-09-16 18:56:58.737945 : Epoch  8, Batch   1234, Loss  0.872011, Average Loss  0.870402, Time  0.237274
2021-09-16 18:57:01.294690 : Epoch  8, Batch   1235, Loss  0.853430, Average Loss  0.870280, Time  0.237627
2021-09-16 18:57:03.849092 : Epoch  8, Batch   1236, Loss  0.861620, Average Loss  0.870298, Time  0.237424
2021-09-16 18:57:06.407174 : Epoch  8, Batch   1237, Loss  0.870048, Average Loss  0.870398, Time  0.237865
2021-09-16 18:57:08.970398 : Epoch  8, Batch   1238, Loss  0.869649, Average Loss  0.870373, Time  0.237708
2021-09-16 18:57:11.520052 : Epoch  8, Batch   1239, Loss  0.866459, Average Loss  0.870333, Time  0.237465
2021-09-16 18:57:14.083205 : Epoch  8, Batch   1240, Loss  0.851073, Average Loss  0.870146, Time  0.237988
2021-09-16 18:57:16.642103 : Epoch  8, Batch   1241, Loss  0.865647, Average Loss  0.870143, Time  0.237430
2021-09-16 18:57:19.195169 : Epoch  8, Batch   1242, Loss  0.851166, Average Loss  0.869901, Time  0.237611
2021-09-16 18:57:21.752867 : Epoch  8, Batch   1243, Loss  0.859935, Average Loss  0.869900, Time  0.237550
2021-09-16 18:57:24.314768 : Epoch  8, Batch   1244, Loss  0.860638, Average Loss  0.869880, Time  0.237756
2021-09-16 18:57:26.873775 : Epoch  8, Batch   1245, Loss  0.863491, Average Loss  0.869737, Time  0.237831
2021-09-16 18:57:29.441032 : Epoch  8, Batch   1246, Loss  0.887197, Average Loss  0.869795, Time  0.237591
2021-09-16 18:57:32.009098 : Epoch  8, Batch   1247, Loss  0.867118, Average Loss  0.869763, Time  0.237541
2021-09-16 18:57:34.570047 : Epoch  8, Batch   1248, Loss  0.886817, Average Loss  0.869863, Time  0.238155
2021-09-16 18:57:37.119820 : Epoch  8, Batch   1249, Loss  0.886126, Average Loss  0.869848, Time  0.237753
2021-09-16 18:57:39.677840 : Epoch  8, Batch   1250, Loss  0.857325, Average Loss  0.869813, Time  0.237921
2021-09-16 18:57:42.237908 : Epoch  8, Batch   1251, Loss  0.886827, Average Loss  0.870029, Time  0.237693
2021-09-16 18:57:44.818720 : Epoch  8, Batch   1252, Loss  0.869521, Average Loss  0.870064, Time  0.237662
2021-09-16 18:57:47.394676 : Epoch  8, Batch   1253, Loss  0.852029, Average Loss  0.870017, Time  0.237766
2021-09-16 18:57:49.973904 : Epoch  8, Batch   1254, Loss  0.902090, Average Loss  0.870116, Time  0.237358
2021-09-16 18:57:52.571761 : Epoch  8, Batch   1255, Loss  0.879299, Average Loss  0.870058, Time  0.237733
2021-09-16 18:57:55.125908 : Epoch  8, Batch   1256, Loss  0.850387, Average Loss  0.870009, Time  0.237465
2021-09-16 18:57:57.681768 : Epoch  8, Batch   1257, Loss  0.871891, Average Loss  0.870013, Time  0.237292
2021-09-16 18:58:00.234016 : Epoch  8, Batch   1258, Loss  0.866646, Average Loss  0.870065, Time  0.237960
2021-09-16 18:58:02.813919 : Epoch  8, Batch   1259, Loss  0.876786, Average Loss  0.870118, Time  0.237552
2021-09-16 18:58:05.368716 : Epoch  8, Batch   1260, Loss  0.864539, Average Loss  0.869955, Time  0.237957
2021-09-16 18:58:07.930876 : Epoch  8, Batch   1261, Loss  0.862599, Average Loss  0.869886, Time  0.237212
2021-09-16 18:58:10.487749 : Epoch  8, Batch   1262, Loss  0.862008, Average Loss  0.869793, Time  0.237864
2021-09-16 18:58:13.043032 : Epoch  8, Batch   1263, Loss  0.860736, Average Loss  0.869682, Time  0.237680
2021-09-16 18:58:15.593049 : Epoch  8, Batch   1264, Loss  0.863069, Average Loss  0.869710, Time  0.237566
2021-09-16 18:58:18.145809 : Epoch  8, Batch   1265, Loss  0.890135, Average Loss  0.869828, Time  0.237664
2021-09-16 18:58:20.702134 : Epoch  8, Batch   1266, Loss  0.878127, Average Loss  0.869945, Time  0.238239
2021-09-16 18:58:23.273760 : Epoch  8, Batch   1267, Loss  0.858817, Average Loss  0.870003, Time  0.237821
2021-09-16 18:58:25.839712 : Epoch  8, Batch   1268, Loss  0.891924, Average Loss  0.870103, Time  0.239272
2021-09-16 18:58:28.447912 : Epoch  8, Batch   1269, Loss  0.873684, Average Loss  0.870015, Time  0.238768
2021-09-16 18:58:31.010146 : Epoch  8, Batch   1270, Loss  0.866305, Average Loss  0.870040, Time  0.238425
2021-09-16 18:58:33.588784 : Epoch  8, Batch   1271, Loss  0.861692, Average Loss  0.870011, Time  0.237757
2021-09-16 18:58:36.184831 : Epoch  8, Batch   1272, Loss  0.894479, Average Loss  0.870144, Time  0.238619
2021-09-16 18:58:38.747961 : Epoch  8, Batch   1273, Loss  0.872251, Average Loss  0.870163, Time  0.237914
2021-09-16 18:58:41.314780 : Epoch  8, Batch   1274, Loss  0.870490, Average Loss  0.870172, Time  0.237591
2021-09-16 18:58:43.872128 : Epoch  8, Batch   1275, Loss  0.856502, Average Loss  0.870057, Time  0.237872
2021-09-16 18:58:46.423701 : Epoch  8, Batch   1276, Loss  0.887936, Average Loss  0.870007, Time  0.237881
2021-09-16 18:58:48.976414 : Epoch  8, Batch   1277, Loss  0.900437, Average Loss  0.870288, Time  0.237889
2021-09-16 18:58:51.532053 : Epoch  8, Batch   1278, Loss  0.849277, Average Loss  0.870170, Time  0.237795
2021-09-16 18:58:54.082107 : Epoch  8, Batch   1279, Loss  0.862700, Average Loss  0.870162, Time  0.237569
2021-09-16 18:58:56.641712 : Epoch  8, Batch   1280, Loss  0.873885, Average Loss  0.870237, Time  0.237622
2021-09-16 18:58:59.203761 : Epoch  8, Batch   1281, Loss  0.858073, Average Loss  0.870109, Time  0.237516
2021-09-16 18:59:01.760923 : Epoch  8, Batch   1282, Loss  0.853882, Average Loss  0.870004, Time  0.237518
2021-09-16 18:59:04.317819 : Epoch  8, Batch   1283, Loss  0.869266, Average Loss  0.869992, Time  0.238257
2021-09-16 18:59:06.892652 : Epoch  8, Batch   1284, Loss  0.848061, Average Loss  0.869848, Time  0.237862
2021-09-16 18:59:09.451753 : Epoch  8, Batch   1285, Loss  0.883612, Average Loss  0.869874, Time  0.238361
2021-09-16 18:59:12.011056 : Epoch  8, Batch   1286, Loss  0.870784, Average Loss  0.869863, Time  0.237574
2021-09-16 18:59:14.566819 : Epoch  8, Batch   1287, Loss  0.880277, Average Loss  0.869835, Time  0.237494
2021-09-16 18:59:17.125798 : Epoch  8, Batch   1288, Loss  0.867699, Average Loss  0.869882, Time  0.237820
2021-09-16 18:59:19.677810 : Epoch  8, Batch   1289, Loss  0.850676, Average Loss  0.869807, Time  0.237710
2021-09-16 18:59:22.234023 : Epoch  8, Batch   1290, Loss  0.874123, Average Loss  0.869788, Time  0.237524
2021-09-16 18:59:24.790815 : Epoch  8, Batch   1291, Loss  0.845262, Average Loss  0.869642, Time  0.237569
2021-09-16 18:59:27.344904 : Epoch  8, Batch   1292, Loss  0.890169, Average Loss  0.869809, Time  0.237435
2021-09-16 18:59:29.902696 : Epoch  8, Batch   1293, Loss  0.856012, Average Loss  0.869806, Time  0.237603
2021-09-16 18:59:32.453902 : Epoch  8, Batch   1294, Loss  0.865366, Average Loss  0.869820, Time  0.237346
2021-09-16 18:59:34.999032 : Epoch  8, Batch   1295, Loss  0.890612, Average Loss  0.869920, Time  0.237414
2021-09-16 18:59:37.552696 : Epoch  8, Batch   1296, Loss  0.849575, Average Loss  0.869698, Time  0.237591
2021-09-16 18:59:40.108859 : Epoch  8, Batch   1297, Loss  0.877311, Average Loss  0.869708, Time  0.237340
2021-09-16 18:59:42.663161 : Epoch  8, Batch   1298, Loss  0.866431, Average Loss  0.869684, Time  0.237613
2021-09-16 18:59:45.223810 : Epoch  8, Batch   1299, Loss  0.882105, Average Loss  0.869721, Time  0.237266
2021-09-16 18:59:47.775823 : Epoch  8, Batch   1300, Loss  0.861946, Average Loss  0.869680, Time  0.237434
2021-09-16 18:59:50.326739 : Epoch  8, Batch   1301, Loss  0.854870, Average Loss  0.869702, Time  0.237845
2021-09-16 18:59:52.884813 : Epoch  8, Batch   1302, Loss  0.865576, Average Loss  0.869617, Time  0.237574
2021-09-16 18:59:55.444932 : Epoch  8, Batch   1303, Loss  0.869504, Average Loss  0.869585, Time  0.237974
2021-09-16 18:59:57.998663 : Epoch  8, Batch   1304, Loss  0.878166, Average Loss  0.869661, Time  0.237574
2021-09-16 19:00:00.549079 : Epoch  8, Batch   1305, Loss  0.842156, Average Loss  0.869532, Time  0.237531
2021-09-16 19:00:03.104882 : Epoch  8, Batch   1306, Loss  0.861477, Average Loss  0.869531, Time  0.237402
2021-09-16 19:00:05.665925 : Epoch  8, Batch   1307, Loss  0.876192, Average Loss  0.869573, Time  0.237607
2021-09-16 19:00:08.233904 : Epoch  8, Batch   1308, Loss  0.874290, Average Loss  0.869628, Time  0.238544
2021-09-16 19:00:40.554311 : CheckPoint: Validation Loss  0.00029429, Best Loss  0.00029014
2021-09-16 19:00:43.514571 : Epoch 10, Batch    397, Loss  0.883181, Average Loss  0.868579, Time  0.264870
2021-09-16 19:00:46.520111 : Epoch 10, Batch    398, Loss  0.853509, Average Loss  0.868522, Time  0.264455
2021-09-16 19:00:49.483269 : Epoch 10, Batch    399, Loss  0.874791, Average Loss  0.868446, Time  0.264774
2021-09-16 19:00:52.480545 : Epoch 10, Batch    400, Loss  0.877088, Average Loss  0.868552, Time  0.264272
2021-09-16 19:00:55.434879 : Epoch 10, Batch    401, Loss  0.874689, Average Loss  0.868574, Time  0.263957
2021-09-16 19:00:58.395446 : Epoch 10, Batch    402, Loss  0.869867, Average Loss  0.868622, Time  0.264134
2021-09-16 19:01:01.371751 : Epoch 10, Batch    403, Loss  0.870272, Average Loss  0.868543, Time  0.264138
2021-09-16 19:01:04.330145 : Epoch 10, Batch    404, Loss  0.902792, Average Loss  0.868692, Time  0.264249
2021-09-16 19:01:07.280781 : Epoch 10, Batch    405, Loss  0.862295, Average Loss  0.868819, Time  0.264086
2021-09-16 19:01:10.240496 : Epoch 10, Batch    406, Loss  0.887873, Average Loss  0.868982, Time  0.265218
2021-09-16 19:01:13.201863 : Epoch 10, Batch    407, Loss  0.866776, Average Loss  0.868991, Time  0.266604
2021-09-16 19:01:16.157658 : Epoch 10, Batch    408, Loss  0.854793, Average Loss  0.868937, Time  0.264804
2021-09-16 19:01:19.112750 : Epoch 10, Batch    409, Loss  0.858246, Average Loss  0.868777, Time  0.263769
2021-09-16 19:01:22.098452 : Epoch 10, Batch    410, Loss  0.882607, Average Loss  0.868964, Time  0.275702
2021-09-16 19:01:25.102345 : Epoch 10, Batch    411, Loss  0.860658, Average Loss  0.868880, Time  0.266416
2021-09-16 19:01:28.102545 : Epoch 10, Batch    412, Loss  0.894161, Average Loss  0.869103, Time  0.265022
2021-09-16 19:01:31.085033 : Epoch 10, Batch    413, Loss  0.888590, Average Loss  0.869251, Time  0.265515
2021-09-16 19:01:34.084788 : Epoch 10, Batch    414, Loss  0.851618, Average Loss  0.869056, Time  0.264808
2021-09-16 19:01:37.077843 : Epoch 10, Batch    415, Loss  0.858729, Average Loss  0.869050, Time  0.264743
2021-09-16 19:01:40.043699 : Epoch 10, Batch    416, Loss  0.877275, Average Loss  0.869009, Time  0.265022
2021-09-16 19:01:43.032630 : Epoch 10, Batch    417, Loss  0.856446, Average Loss  0.868983, Time  0.264083
2021-09-16 19:01:46.019067 : Epoch 10, Batch    418, Loss  0.872611, Average Loss  0.868987, Time  0.263977
2021-09-16 19:01:48.970964 : Epoch 10, Batch    419, Loss  0.858871, Average Loss  0.868845, Time  0.263721
2021-09-16 19:01:51.939378 : Epoch 10, Batch    420, Loss  0.882526, Average Loss  0.868940, Time  0.265165
2021-09-16 19:01:54.934766 : Epoch 10, Batch    421, Loss  0.858247, Average Loss  0.868894, Time  0.264125
2021-09-16 19:01:57.908094 : Epoch 10, Batch    422, Loss  0.873699, Average Loss  0.869053, Time  0.265545
2021-09-16 19:02:00.968128 : Epoch 10, Batch    423, Loss  0.858999, Average Loss  0.868834, Time  0.266146
2021-09-16 19:02:03.994393 : Epoch 10, Batch    424, Loss  0.855346, Average Loss  0.868874, Time  0.265774
2021-09-16 19:02:07.008300 : Epoch 10, Batch    425, Loss  0.871920, Average Loss  0.868863, Time  0.265207
2021-09-16 19:02:10.014119 : Epoch 10, Batch    426, Loss  0.869415, Average Loss  0.868915, Time  0.273288
2021-09-16 19:02:12.996464 : Epoch 10, Batch    427, Loss  0.882048, Average Loss  0.868951, Time  0.265017
2021-09-16 19:02:16.001895 : Epoch 10, Batch    428, Loss  0.860780, Average Loss  0.868973, Time  0.265406
2021-09-16 19:02:18.964047 : Epoch 10, Batch    429, Loss  0.856914, Average Loss  0.868836, Time  0.263790
2021-09-16 19:02:21.952442 : Epoch 10, Batch    430, Loss  0.864460, Average Loss  0.868726, Time  0.265038
2021-09-16 19:02:24.960357 : Epoch 10, Batch    431, Loss  0.887316, Average Loss  0.868759, Time  0.264881
2021-09-16 19:02:27.952179 : Epoch 10, Batch    432, Loss  0.865482, Average Loss  0.868842, Time  0.264328
2021-09-16 19:02:30.901801 : Epoch 10, Batch    433, Loss  0.870368, Average Loss  0.868763, Time  0.264643
2021-09-16 19:02:33.873379 : Epoch 10, Batch    434, Loss  0.865104, Average Loss  0.868786, Time  0.264818
2021-09-16 19:02:36.840610 : Epoch 10, Batch    435, Loss  0.857101, Average Loss  0.868881, Time  0.264402
2021-09-16 19:02:39.799998 : Epoch 10, Batch    436, Loss  0.885538, Average Loss  0.869028, Time  0.263725
2021-09-16 19:02:42.788999 : Epoch 10, Batch    437, Loss  0.858749, Average Loss  0.868858, Time  0.264830
2021-09-16 19:02:45.790108 : Epoch 10, Batch    438, Loss  0.891466, Average Loss  0.868951, Time  0.264922
2021-09-16 19:02:48.752956 : Epoch 10, Batch    439, Loss  0.872809, Average Loss  0.869013, Time  0.263847
2021-09-16 19:02:51.721544 : Epoch 10, Batch    440, Loss  0.859866, Average Loss  0.869051, Time  0.264872
2021-09-16 19:02:54.722706 : Epoch 10, Batch    441, Loss  0.875186, Average Loss  0.869166, Time  0.277666
2021-09-16 19:02:57.707996 : Epoch 10, Batch    442, Loss  0.894798, Average Loss  0.869175, Time  0.265014
2021-09-16 19:03:00.693847 : Epoch 10, Batch    443, Loss  0.870295, Average Loss  0.869218, Time  0.264802
2021-09-16 19:03:03.686958 : Epoch 10, Batch    444, Loss  0.874519, Average Loss  0.869326, Time  0.264993
2021-09-16 19:03:06.664969 : Epoch 10, Batch    445, Loss  0.901356, Average Loss  0.869448, Time  0.264767
2021-09-16 19:03:09.647350 : Epoch 10, Batch    446, Loss  0.857355, Average Loss  0.869357, Time  0.264095
2021-09-16 19:03:12.601163 : Epoch 10, Batch    447, Loss  0.859329, Average Loss  0.869282, Time  0.264123
2021-09-16 19:03:15.562173 : Epoch 10, Batch    448, Loss  0.884250, Average Loss  0.869427, Time  0.264829
2021-09-16 19:03:18.541236 : Epoch 10, Batch    449, Loss  0.872341, Average Loss  0.869493, Time  0.264163
2021-09-16 19:03:21.508186 : Epoch 10, Batch    450, Loss  0.863833, Average Loss  0.869486, Time  0.265014
2021-09-16 19:03:24.472517 : Epoch 10, Batch    451, Loss  0.865986, Average Loss  0.869449, Time  0.263971
2021-09-16 19:03:27.449773 : Epoch 10, Batch    452, Loss  0.872879, Average Loss  0.869472, Time  0.264435
2021-09-16 19:03:30.397541 : Epoch 10, Batch    453, Loss  0.858548, Average Loss  0.869347, Time  0.265098
2021-09-16 19:03:33.363938 : Epoch 10, Batch    454, Loss  0.864521, Average Loss  0.869291, Time  0.264086
2021-09-16 19:03:36.321251 : Epoch 10, Batch    455, Loss  0.874733, Average Loss  0.869226, Time  0.264765
2021-09-16 19:03:39.306731 : Epoch 10, Batch    456, Loss  0.894860, Average Loss  0.869424, Time  0.275512
2021-09-16 19:03:42.260266 : Epoch 10, Batch    457, Loss  0.855159, Average Loss  0.869303, Time  0.264855
2021-09-16 19:03:45.211122 : Epoch 10, Batch    458, Loss  0.864185, Average Loss  0.869221, Time  0.263496
2021-09-16 19:03:48.175862 : Epoch 10, Batch    459, Loss  0.865608, Average Loss  0.869263, Time  0.264347
2021-09-16 19:03:51.167619 : Epoch 10, Batch    460, Loss  0.876836, Average Loss  0.869383, Time  0.264783
2021-09-16 19:03:54.166715 : Epoch 10, Batch    461, Loss  0.870213, Average Loss  0.869371, Time  0.263683
2021-09-16 19:03:57.142066 : Epoch 10, Batch    462, Loss  0.850951, Average Loss  0.869376, Time  0.264595
2021-09-16 19:04:00.104693 : Epoch 10, Batch    463, Loss  0.847832, Average Loss  0.869268, Time  0.266726
2021-09-16 19:04:02.824142 : CheckPoint: Validation Loss  0.00029582, Best Loss  0.00029207
2021-09-16 19:04:03.104070 : Epoch 10, Batch    464, Loss  0.854493, Average Loss  0.869145, Time  0.265187
2021-09-16 19:04:05.362905 : Epoch  8, Batch   1309, Loss  0.877706, Average Loss  0.869728, Time  0.237931
2021-09-16 19:04:06.061019 : Epoch 10, Batch    465, Loss  0.884203, Average Loss  0.869270, Time  0.264023
2021-09-16 19:04:07.915739 : Epoch  8, Batch   1310, Loss  0.861786, Average Loss  0.869705, Time  0.237328
2021-09-16 19:04:09.038117 : Epoch 10, Batch    466, Loss  0.864676, Average Loss  0.869198, Time  0.264422
2021-09-16 19:04:10.478677 : Epoch  8, Batch   1311, Loss  0.871566, Average Loss  0.869749, Time  0.237475
2021-09-16 19:04:12.067427 : Epoch 10, Batch    467, Loss  0.853233, Average Loss  0.869034, Time  0.265694
2021-09-16 19:04:13.055911 : Epoch  8, Batch   1312, Loss  0.867063, Average Loss  0.869800, Time  0.237397
2021-09-16 19:04:15.100778 : Epoch 10, Batch    468, Loss  0.885638, Average Loss  0.869196, Time  0.265653
2021-09-16 19:04:15.607750 : Epoch  8, Batch   1313, Loss  0.858036, Average Loss  0.869765, Time  0.237583
2021-09-16 19:04:18.137072 : Epoch 10, Batch    469, Loss  0.872276, Average Loss  0.869269, Time  0.263479
2021-09-16 19:04:18.174043 : Epoch  8, Batch   1314, Loss  0.849767, Average Loss  0.869676, Time  0.238709
2021-09-16 19:04:20.753734 : Epoch  8, Batch   1315, Loss  0.866093, Average Loss  0.869741, Time  0.237261
2021-09-16 19:04:21.101045 : Epoch 10, Batch    470, Loss  0.865057, Average Loss  0.869165, Time  0.264088
2021-09-16 19:04:23.295930 : Epoch  8, Batch   1316, Loss  0.875854, Average Loss  0.869890, Time  0.237967
2021-09-16 19:04:24.070400 : Epoch 10, Batch    471, Loss  0.876334, Average Loss  0.869229, Time  0.277055
2021-09-16 19:04:25.848684 : Epoch  8, Batch   1317, Loss  0.852563, Average Loss  0.869769, Time  0.237756
2021-09-16 19:04:27.050033 : Epoch 10, Batch    472, Loss  0.857953, Average Loss  0.869180, Time  0.264568
2021-09-16 19:04:28.407924 : Epoch  8, Batch   1318, Loss  0.857824, Average Loss  0.869750, Time  0.237465
2021-09-16 19:04:30.011408 : Epoch 10, Batch    473, Loss  0.848481, Average Loss  0.869152, Time  0.264595
2021-09-16 19:04:30.953898 : Epoch  8, Batch   1319, Loss  0.872225, Average Loss  0.869672, Time  0.237406
2021-09-16 19:04:32.983774 : Epoch 10, Batch    474, Loss  0.866133, Average Loss  0.869125, Time  0.264974
2021-09-16 19:04:33.535050 : Epoch  8, Batch   1320, Loss  0.865887, Average Loss  0.869780, Time  0.237577
2021-09-16 19:04:35.974423 : Epoch 10, Batch    475, Loss  0.861225, Average Loss  0.869089, Time  0.264326
2021-09-16 19:04:36.095737 : Epoch  8, Batch   1321, Loss  0.859242, Average Loss  0.869777, Time  0.238069
2021-09-16 19:04:38.633836 : Epoch  8, Batch   1322, Loss  0.852884, Average Loss  0.869673, Time  0.237646
2021-09-16 19:04:38.976071 : Epoch 10, Batch    476, Loss  0.864787, Average Loss  0.869143, Time  0.264630
2021-09-16 19:04:41.185879 : Epoch  8, Batch   1323, Loss  0.873885, Average Loss  0.869642, Time  0.238434
2021-09-16 19:04:41.964326 : Epoch 10, Batch    477, Loss  0.873261, Average Loss  0.869190, Time  0.263916
2021-09-16 19:04:43.742926 : Epoch  8, Batch   1324, Loss  0.852228, Average Loss  0.869616, Time  0.238070
2021-09-16 19:04:44.932376 : Epoch 10, Batch    478, Loss  0.880899, Average Loss  0.869239, Time  0.263981
2021-09-16 19:04:46.298088 : Epoch  8, Batch   1325, Loss  0.857092, Average Loss  0.869407, Time  0.237781
2021-09-16 19:04:47.912396 : Epoch 10, Batch    479, Loss  0.880496, Average Loss  0.869290, Time  0.264440
2021-09-16 19:04:48.846023 : Epoch  8, Batch   1326, Loss  0.897664, Average Loss  0.869432, Time  0.238405
2021-09-16 19:04:50.873369 : Epoch 10, Batch    480, Loss  0.866554, Average Loss  0.869320, Time  0.264423
2021-09-16 19:04:51.393106 : Epoch  8, Batch   1327, Loss  0.860472, Average Loss  0.869320, Time  0.237437
2021-09-16 19:04:53.852465 : Epoch 10, Batch    481, Loss  0.854916, Average Loss  0.869278, Time  0.264098
2021-09-16 19:04:53.935947 : Epoch  8, Batch   1328, Loss  0.857995, Average Loss  0.869280, Time  0.237628
2021-09-16 19:04:56.482868 : Epoch  8, Batch   1329, Loss  0.843038, Average Loss  0.869215, Time  0.238007
2021-09-16 19:04:56.821526 : Epoch 10, Batch    482, Loss  0.858096, Average Loss  0.869297, Time  0.264921
2021-09-16 19:04:59.040137 : Epoch  8, Batch   1330, Loss  0.840384, Average Loss  0.869090, Time  0.237272
2021-09-16 19:04:59.782206 : Epoch 10, Batch    483, Loss  0.880298, Average Loss  0.869313, Time  0.263849
2021-09-16 19:05:01.594023 : Epoch  8, Batch   1331, Loss  0.863094, Average Loss  0.869014, Time  0.237510
2021-09-16 19:05:02.763018 : Epoch 10, Batch    484, Loss  0.854153, Average Loss  0.869195, Time  0.264262
2021-09-16 19:05:04.181294 : Epoch  8, Batch   1332, Loss  0.856833, Average Loss  0.868957, Time  0.238089
2021-09-16 19:05:05.718443 : Epoch 10, Batch    485, Loss  0.866757, Average Loss  0.869191, Time  0.263583
2021-09-16 19:05:06.732793 : Epoch  8, Batch   1333, Loss  0.860474, Average Loss  0.868850, Time  0.237719
2021-09-16 19:05:08.691350 : Epoch 10, Batch    486, Loss  0.864420, Average Loss  0.869205, Time  0.263660
2021-09-16 19:05:09.286790 : Epoch  8, Batch   1334, Loss  0.890496, Average Loss  0.869000, Time  0.237851
2021-09-16 19:05:11.657693 : Epoch 10, Batch    487, Loss  0.863493, Average Loss  0.869158, Time  0.272982
2021-09-16 19:05:11.842872 : Epoch  8, Batch   1335, Loss  0.869191, Average Loss  0.869015, Time  0.237339
2021-09-16 19:05:14.386929 : Epoch  8, Batch   1336, Loss  0.854659, Average Loss  0.868929, Time  0.237420
2021-09-16 19:05:14.642833 : Epoch 10, Batch    488, Loss  0.887492, Average Loss  0.869260, Time  0.264499
2021-09-16 19:05:16.942940 : Epoch  8, Batch   1337, Loss  0.868874, Average Loss  0.868988, Time  0.238119
2021-09-16 19:05:17.591106 : Epoch 10, Batch    489, Loss  0.889499, Average Loss  0.869302, Time  0.264357
2021-09-16 19:05:19.494886 : Epoch  8, Batch   1338, Loss  0.849929, Average Loss  0.868797, Time  0.237347
2021-09-16 19:05:20.564143 : Epoch 10, Batch    490, Loss  0.869996, Average Loss  0.869364, Time  0.264742
2021-09-16 19:05:22.049133 : Epoch  8, Batch   1339, Loss  0.860138, Average Loss  0.868707, Time  0.238668
2021-09-16 19:05:23.519729 : Epoch 10, Batch    491, Loss  0.861005, Average Loss  0.869336, Time  0.265148
2021-09-16 19:05:24.604913 : Epoch  8, Batch   1340, Loss  0.857219, Average Loss  0.868527, Time  0.237557
2021-09-16 19:05:26.496108 : Epoch 10, Batch    492, Loss  0.862132, Average Loss  0.869237, Time  0.264368
2021-09-16 19:05:27.161039 : Epoch  8, Batch   1341, Loss  0.865181, Average Loss  0.868513, Time  0.238029
2021-09-16 19:05:29.465735 : Epoch 10, Batch    493, Loss  0.877534, Average Loss  0.869373, Time  0.264953
2021-09-16 19:05:29.716923 : Epoch  8, Batch   1342, Loss  0.864969, Average Loss  0.868538, Time  0.237641
2021-09-16 19:05:32.264052 : Epoch  8, Batch   1343, Loss  0.874158, Average Loss  0.868487, Time  0.237456
2021-09-16 19:05:32.495504 : Epoch 10, Batch    494, Loss  0.891106, Average Loss  0.869451, Time  0.263258
2021-09-16 19:05:34.810046 : Epoch  8, Batch   1344, Loss  0.871373, Average Loss  0.868592, Time  0.237144
2021-09-16 19:05:35.457082 : Epoch 10, Batch    495, Loss  0.858903, Average Loss  0.869318, Time  0.263889
2021-09-16 19:05:37.362044 : Epoch  8, Batch   1345, Loss  0.849233, Average Loss  0.868456, Time  0.237327
2021-09-16 19:05:38.412537 : Epoch 10, Batch    496, Loss  0.869757, Average Loss  0.869422, Time  0.264797
2021-09-16 19:05:39.911758 : Epoch  8, Batch   1346, Loss  0.880364, Average Loss  0.868493, Time  0.237227
2021-09-16 19:05:42.463908 : Epoch  8, Batch   1347, Loss  0.868382, Average Loss  0.868449, Time  0.237581
2021-09-16 19:05:45.036920 : Epoch  8, Batch   1348, Loss  0.850705, Average Loss  0.868459, Time  0.237341
2021-09-16 19:05:47.593172 : Epoch  8, Batch   1349, Loss  0.869830, Average Loss  0.868436, Time  0.238132
2021-09-16 19:05:50.144990 : Epoch  8, Batch   1350, Loss  0.861349, Average Loss  0.868460, Time  0.237503
2021-09-16 19:05:52.700676 : Epoch  8, Batch   1351, Loss  0.862941, Average Loss  0.868457, Time  0.237636
2021-09-16 19:05:55.243882 : Epoch  8, Batch   1352, Loss  0.863225, Average Loss  0.868328, Time  0.237613
2021-09-16 19:05:57.801687 : Epoch  8, Batch   1353, Loss  0.849807, Average Loss  0.868225, Time  0.237895
2021-09-16 19:06:00.357689 : Epoch  8, Batch   1354, Loss  0.879842, Average Loss  0.868256, Time  0.237678
2021-09-16 19:06:02.921764 : Epoch  8, Batch   1355, Loss  0.885660, Average Loss  0.868358, Time  0.237896
2021-09-16 19:06:05.471673 : Epoch  8, Batch   1356, Loss  0.888800, Average Loss  0.868393, Time  0.237495
2021-09-16 19:06:08.021813 : Epoch  8, Batch   1357, Loss  0.863427, Average Loss  0.868369, Time  0.237648
2021-09-16 19:06:10.570914 : Epoch  8, Batch   1358, Loss  0.868040, Average Loss  0.868341, Time  0.237454
2021-09-16 19:06:13.126231 : Epoch  8, Batch   1359, Loss  0.840414, Average Loss  0.868178, Time  0.237580
2021-09-16 19:06:15.689945 : Epoch  8, Batch   1360, Loss  0.847265, Average Loss  0.868052, Time  0.237576
2021-09-16 19:06:18.245683 : Epoch  8, Batch   1361, Loss  0.890023, Average Loss  0.868197, Time  0.237958
2021-09-16 19:06:20.791046 : Epoch  8, Batch   1362, Loss  0.891776, Average Loss  0.868336, Time  0.237657
2021-09-16 19:06:23.335921 : Epoch  8, Batch   1363, Loss  0.890761, Average Loss  0.868394, Time  0.237511
2021-09-16 19:06:25.900788 : Epoch  8, Batch   1364, Loss  0.872713, Average Loss  0.868353, Time  0.237581
2021-09-16 19:06:28.465067 : Epoch  8, Batch   1365, Loss  0.868007, Average Loss  0.868316, Time  0.237639
2021-09-16 19:06:31.016836 : Epoch  8, Batch   1366, Loss  0.871058, Average Loss  0.868201, Time  0.237524
2021-09-16 19:06:33.576658 : Epoch  8, Batch   1367, Loss  0.875944, Average Loss  0.868301, Time  0.237709
2021-09-16 19:06:36.145031 : Epoch  8, Batch   1368, Loss  0.874891, Average Loss  0.868389, Time  0.237400
2021-09-16 19:06:38.692806 : Epoch  8, Batch   1369, Loss  0.856765, Average Loss  0.868303, Time  0.237489
2021-09-16 19:06:41.259714 : Epoch  8, Batch   1370, Loss  0.878878, Average Loss  0.868434, Time  0.237959
2021-09-16 19:06:43.828807 : Epoch  8, Batch   1371, Loss  0.891379, Average Loss  0.868450, Time  0.237608
2021-09-16 19:06:46.380689 : Epoch  8, Batch   1372, Loss  0.856539, Average Loss  0.868392, Time  0.237825
2021-09-16 19:06:48.945814 : Epoch  8, Batch   1373, Loss  0.885276, Average Loss  0.868421, Time  0.238230
2021-09-16 19:06:51.503853 : Epoch  8, Batch   1374, Loss  0.883839, Average Loss  0.868416, Time  0.237890
2021-09-16 19:06:54.081770 : Epoch  8, Batch   1375, Loss  0.865732, Average Loss  0.868411, Time  0.237684
2021-09-16 19:06:56.653939 : Epoch  8, Batch   1376, Loss  0.857067, Average Loss  0.868296, Time  0.237567
2021-09-16 19:06:59.199889 : Epoch  8, Batch   1377, Loss  0.875170, Average Loss  0.868283, Time  0.237607
2021-09-16 19:07:01.749820 : Epoch  8, Batch   1378, Loss  0.866225, Average Loss  0.868151, Time  0.237665
2021-09-16 19:07:04.294685 : Epoch  8, Batch   1379, Loss  0.867249, Average Loss  0.868237, Time  0.237298
2021-09-16 19:07:06.844091 : Epoch  8, Batch   1380, Loss  0.861900, Average Loss  0.868239, Time  0.237769
2021-09-16 19:07:09.394820 : Epoch  8, Batch   1381, Loss  0.882673, Average Loss  0.868270, Time  0.237497
2021-09-16 19:07:11.952824 : Epoch  8, Batch   1382, Loss  0.847186, Average Loss  0.868114, Time  0.237595
2021-09-16 19:07:14.506651 : Epoch  8, Batch   1383, Loss  0.886277, Average Loss  0.868235, Time  0.237795
2021-09-16 19:07:17.064971 : Epoch  8, Batch   1384, Loss  0.873164, Average Loss  0.868268, Time  0.238127
2021-09-16 19:07:19.616683 : Epoch  8, Batch   1385, Loss  0.872547, Average Loss  0.868216, Time  0.237705
2021-09-16 19:07:22.168701 : Epoch  8, Batch   1386, Loss  0.881859, Average Loss  0.868257, Time  0.237854
2021-09-16 19:07:24.732936 : Epoch  8, Batch   1387, Loss  0.874403, Average Loss  0.868364, Time  0.237591
2021-09-16 19:07:27.289882 : Epoch  8, Batch   1388, Loss  0.862486, Average Loss  0.868363, Time  0.237447
2021-09-16 19:07:29.856737 : Epoch  8, Batch   1389, Loss  0.865033, Average Loss  0.868321, Time  0.239327
2021-09-16 19:07:32.407875 : Epoch  8, Batch   1390, Loss  0.854765, Average Loss  0.868258, Time  0.237635
2021-09-16 19:07:34.968931 : Epoch  8, Batch   1391, Loss  0.873943, Average Loss  0.868202, Time  0.238088
2021-09-16 19:07:37.520814 : Epoch  8, Batch   1392, Loss  0.882301, Average Loss  0.868232, Time  0.237616
2021-09-16 19:07:40.087085 : Epoch  8, Batch   1393, Loss  0.870993, Average Loss  0.868291, Time  0.237536
2021-09-16 19:07:42.640735 : Epoch  8, Batch   1394, Loss  0.860069, Average Loss  0.868254, Time  0.237689
2021-09-16 19:07:45.180641 : Epoch  8, Batch   1395, Loss  0.862859, Average Loss  0.868169, Time  0.238042
2021-09-16 19:07:47.737765 : Epoch  8, Batch   1396, Loss  0.865100, Average Loss  0.868266, Time  0.238435
2021-09-16 19:07:50.290699 : Epoch  8, Batch   1397, Loss  0.850739, Average Loss  0.868142, Time  0.238424
2021-09-16 19:07:52.850869 : Epoch  8, Batch   1398, Loss  0.876120, Average Loss  0.868246, Time  0.238050
2021-09-16 19:07:55.406920 : Epoch  8, Batch   1399, Loss  0.876103, Average Loss  0.868218, Time  0.239361
2021-09-16 19:07:57.964732 : Epoch  8, Batch   1400, Loss  0.856429, Average Loss  0.868104, Time  0.237462
2021-09-16 19:08:00.523218 : Epoch  8, Batch   1401, Loss  0.841083, Average Loss  0.867941, Time  0.238496
2021-09-16 19:08:03.075782 : Epoch  8, Batch   1402, Loss  0.885695, Average Loss  0.867997, Time  0.237561
2021-09-16 19:08:05.634029 : Epoch  8, Batch   1403, Loss  0.862605, Average Loss  0.867964, Time  0.237497
2021-09-16 19:08:08.189767 : Epoch  8, Batch   1404, Loss  0.849965, Average Loss  0.867765, Time  0.237877
2021-09-16 19:08:10.747708 : Epoch  8, Batch   1405, Loss  0.871931, Average Loss  0.867816, Time  0.237921
2021-09-16 19:08:13.302691 : Epoch  8, Batch   1406, Loss  0.859755, Average Loss  0.867865, Time  0.237792
2021-09-16 19:08:15.852805 : Epoch  8, Batch   1407, Loss  0.882186, Average Loss  0.867934, Time  0.237738
2021-09-16 19:08:18.404834 : Epoch  8, Batch   1408, Loss  0.883926, Average Loss  0.868002, Time  0.238003
2021-09-16 19:10:13.580480 : CheckPoint: Validation Loss  0.00030125, Best Loss  0.00029014
2021-09-16 19:10:16.523069 : Epoch 10, Batch    497, Loss  0.839164, Average Loss  0.869203, Time  0.264214
2021-09-16 19:10:19.508210 : Epoch 10, Batch    498, Loss  0.868924, Average Loss  0.869127, Time  0.264335
2021-09-16 19:10:22.494357 : Epoch 10, Batch    499, Loss  0.865918, Average Loss  0.869017, Time  0.264462
2021-09-16 19:10:25.494500 : Epoch 10, Batch    500, Loss  0.865182, Average Loss  0.869021, Time  0.264337
2021-09-16 19:10:28.457492 : Epoch 10, Batch    501, Loss  0.863103, Average Loss  0.868967, Time  0.264778
2021-09-16 19:10:31.413423 : Epoch 10, Batch    502, Loss  0.864010, Average Loss  0.868931, Time  0.264056
2021-09-16 19:10:34.379113 : Epoch 10, Batch    503, Loss  0.870558, Average Loss  0.868909, Time  0.263956
2021-09-16 19:10:37.354872 : Epoch 10, Batch    504, Loss  0.854759, Average Loss  0.868864, Time  0.263699
2021-09-16 19:10:40.335439 : Epoch 10, Batch    505, Loss  0.864214, Average Loss  0.868868, Time  0.278464
2021-09-16 19:10:43.310622 : Epoch 10, Batch    506, Loss  0.864731, Average Loss  0.868868, Time  0.265413
2021-09-16 19:10:46.283760 : Epoch 10, Batch    507, Loss  0.878409, Average Loss  0.868897, Time  0.264334
2021-09-16 19:10:49.246871 : Epoch 10, Batch    508, Loss  0.860698, Average Loss  0.868904, Time  0.265186
2021-09-16 19:10:52.216180 : Epoch 10, Batch    509, Loss  0.873401, Average Loss  0.868898, Time  0.265111
2021-09-16 19:10:55.196704 : Epoch 10, Batch    510, Loss  0.888850, Average Loss  0.869042, Time  0.264612
2021-09-16 19:10:58.177490 : Epoch 10, Batch    511, Loss  0.871015, Average Loss  0.868972, Time  0.265408
2021-09-16 19:11:01.143694 : Epoch 10, Batch    512, Loss  0.871164, Average Loss  0.868990, Time  0.264464
2021-09-16 19:11:04.107057 : Epoch 10, Batch    513, Loss  0.865856, Average Loss  0.869023, Time  0.263740
2021-09-16 19:11:07.070097 : Epoch 10, Batch    514, Loss  0.870684, Average Loss  0.869003, Time  0.263767
2021-09-16 19:11:10.063129 : Epoch 10, Batch    515, Loss  0.869952, Average Loss  0.869010, Time  0.264514
2021-09-16 19:11:13.059976 : Epoch 10, Batch    516, Loss  0.865241, Average Loss  0.868990, Time  0.264507
2021-09-16 19:11:16.066190 : Epoch 10, Batch    517, Loss  0.883367, Average Loss  0.869048, Time  0.265665
2021-09-16 19:11:19.061755 : Epoch 10, Batch    518, Loss  0.897170, Average Loss  0.869198, Time  0.264958
2021-09-16 19:11:22.053158 : Epoch 10, Batch    519, Loss  0.872191, Average Loss  0.869247, Time  0.264931
2021-09-16 19:11:25.053028 : Epoch 10, Batch    520, Loss  0.868692, Average Loss  0.869341, Time  0.264135
2021-09-16 19:11:28.062465 : Epoch 10, Batch    521, Loss  0.852252, Average Loss  0.869304, Time  0.278247
2021-09-16 19:11:31.022452 : Epoch 10, Batch    522, Loss  0.890682, Average Loss  0.869443, Time  0.265869
2021-09-16 19:11:33.981057 : Epoch 10, Batch    523, Loss  0.849941, Average Loss  0.869493, Time  0.264091
2021-09-16 19:11:36.953459 : Epoch 10, Batch    524, Loss  0.858462, Average Loss  0.869392, Time  0.264959
2021-09-16 19:11:39.947821 : Epoch 10, Batch    525, Loss  0.856034, Average Loss  0.869364, Time  0.265385
2021-09-16 19:11:42.926156 : Epoch 10, Batch    526, Loss  0.873585, Average Loss  0.869310, Time  0.264236
2021-09-16 19:11:45.900866 : Epoch 10, Batch    527, Loss  0.884946, Average Loss  0.869400, Time  0.264949
2021-09-16 19:11:48.868285 : Epoch 10, Batch    528, Loss  0.866046, Average Loss  0.869479, Time  0.264687
2021-09-16 19:11:51.837940 : Epoch 10, Batch    529, Loss  0.834935, Average Loss  0.869325, Time  0.264629
2021-09-16 19:11:54.832557 : Epoch 10, Batch    530, Loss  0.865183, Average Loss  0.869320, Time  0.263755
2021-09-16 19:11:57.791634 : Epoch 10, Batch    531, Loss  0.856219, Average Loss  0.869192, Time  0.264572
2021-09-16 19:12:00.758302 : Epoch 10, Batch    532, Loss  0.881206, Average Loss  0.869350, Time  0.263838
2021-09-16 19:12:03.729828 : Epoch 10, Batch    533, Loss  0.873001, Average Loss  0.869434, Time  0.265171
2021-09-16 19:12:06.688157 : Epoch 10, Batch    534, Loss  0.890373, Average Loss  0.869562, Time  0.264177
2021-09-16 19:12:09.665514 : Epoch 10, Batch    535, Loss  0.863735, Average Loss  0.869553, Time  0.265034
2021-09-16 19:12:12.664937 : Epoch 10, Batch    536, Loss  0.846169, Average Loss  0.869578, Time  0.270925
2021-09-16 19:12:13.679680 : CheckPoint: Validation Loss  0.00030203, Best Loss  0.00029207
2021-09-16 19:12:15.630321 : Epoch 10, Batch    537, Loss  0.873308, Average Loss  0.869566, Time  0.264222
2021-09-16 19:12:16.256885 : Epoch  8, Batch   1409, Loss  0.892961, Average Loss  0.868189, Time  0.270265
2021-09-16 19:12:18.605908 : Epoch 10, Batch    538, Loss  0.870884, Average Loss  0.869496, Time  0.265072
2021-09-16 19:12:18.836687 : Epoch  8, Batch   1410, Loss  0.861560, Average Loss  0.868145, Time  0.248823
2021-09-16 19:12:21.378138 : Epoch  8, Batch   1411, Loss  0.863612, Average Loss  0.868056, Time  0.237958
2021-09-16 19:12:21.583150 : Epoch 10, Batch    539, Loss  0.865732, Average Loss  0.869410, Time  0.264535
2021-09-16 19:12:23.941273 : Epoch  8, Batch   1412, Loss  0.853830, Average Loss  0.867940, Time  0.237681
2021-09-16 19:12:24.550664 : Epoch 10, Batch    540, Loss  0.857966, Average Loss  0.869326, Time  0.264593
2021-09-16 19:12:26.507112 : Epoch  8, Batch   1413, Loss  0.865295, Average Loss  0.867922, Time  0.237591
2021-09-16 19:12:27.530399 : Epoch 10, Batch    541, Loss  0.874480, Average Loss  0.869369, Time  0.264576
2021-09-16 19:12:29.074882 : Epoch  8, Batch   1414, Loss  0.844130, Average Loss  0.867915, Time  0.237476
2021-09-16 19:12:30.493004 : Epoch 10, Batch    542, Loss  0.850718, Average Loss  0.869275, Time  0.264520
2021-09-16 19:12:31.648094 : Epoch  8, Batch   1415, Loss  0.879612, Average Loss  0.867933, Time  0.237327
2021-09-16 19:12:33.456378 : Epoch 10, Batch    543, Loss  0.867522, Average Loss  0.869241, Time  0.264269
2021-09-16 19:12:34.214725 : Epoch  8, Batch   1416, Loss  0.863326, Average Loss  0.867812, Time  0.237512
2021-09-16 19:12:36.437047 : Epoch 10, Batch    544, Loss  0.880751, Average Loss  0.869299, Time  0.264100
2021-09-16 19:12:36.770718 : Epoch  8, Batch   1417, Loss  0.866595, Average Loss  0.867871, Time  0.237762
2021-09-16 19:12:39.313822 : Epoch  8, Batch   1418, Loss  0.889094, Average Loss  0.867995, Time  0.237350
2021-09-16 19:12:39.408974 : Epoch 10, Batch    545, Loss  0.882729, Average Loss  0.869373, Time  0.264817
2021-09-16 19:12:41.876947 : Epoch  8, Batch   1419, Loss  0.857735, Average Loss  0.867837, Time  0.237542
2021-09-16 19:12:42.362526 : Epoch 10, Batch    546, Loss  0.870772, Average Loss  0.869304, Time  0.264289
2021-09-16 19:12:44.433963 : Epoch  8, Batch   1420, Loss  0.872132, Average Loss  0.867718, Time  0.237419
2021-09-16 19:12:45.324877 : Epoch 10, Batch    547, Loss  0.854575, Average Loss  0.869276, Time  0.264222
2021-09-16 19:12:46.994751 : Epoch  8, Batch   1421, Loss  0.872338, Average Loss  0.867562, Time  0.238469
2021-09-16 19:12:48.283356 : Epoch 10, Batch    548, Loss  0.887768, Average Loss  0.869346, Time  0.264297
2021-09-16 19:12:49.555825 : Epoch  8, Batch   1422, Loss  0.855992, Average Loss  0.867548, Time  0.237439
2021-09-16 19:12:51.255245 : Epoch 10, Batch    549, Loss  0.851252, Average Loss  0.869239, Time  0.266062
2021-09-16 19:12:52.112128 : Epoch  8, Batch   1423, Loss  0.862525, Average Loss  0.867673, Time  0.237600
2021-09-16 19:12:54.243080 : Epoch 10, Batch    550, Loss  0.882616, Average Loss  0.869214, Time  0.266121
2021-09-16 19:12:54.677068 : Epoch  8, Batch   1424, Loss  0.862837, Average Loss  0.867494, Time  0.238338
2021-09-16 19:12:57.230426 : Epoch 10, Batch    551, Loss  0.880341, Average Loss  0.869241, Time  0.276012
2021-09-16 19:12:57.235110 : Epoch  8, Batch   1425, Loss  0.865893, Average Loss  0.867599, Time  0.238464
2021-09-16 19:12:59.800830 : Epoch  8, Batch   1426, Loss  0.883569, Average Loss  0.867720, Time  0.237499
2021-09-16 19:13:00.228098 : Epoch 10, Batch    552, Loss  0.873227, Average Loss  0.869235, Time  0.264636
2021-09-16 19:13:02.353893 : Epoch  8, Batch   1427, Loss  0.867325, Average Loss  0.867720, Time  0.237532
2021-09-16 19:13:03.150662 : Epoch 10, Batch    553, Loss  0.863460, Average Loss  0.869252, Time  0.264826
2021-09-16 19:13:04.913089 : Epoch  8, Batch   1428, Loss  0.851109, Average Loss  0.867707, Time  0.237311
2021-09-16 19:13:06.033219 : Epoch 10, Batch    554, Loss  0.885097, Average Loss  0.869372, Time  0.264331
2021-09-16 19:13:07.484875 : Epoch  8, Batch   1429, Loss  0.877479, Average Loss  0.867678, Time  0.238077
2021-09-16 19:13:08.929177 : Epoch 10, Batch    555, Loss  0.861979, Average Loss  0.869457, Time  0.266352
2021-09-16 19:13:10.043758 : Epoch  8, Batch   1430, Loss  0.860934, Average Loss  0.867703, Time  0.237658
2021-09-16 19:13:11.900058 : Epoch 10, Batch    556, Loss  0.872027, Average Loss  0.869573, Time  0.283520
2021-09-16 19:13:12.617981 : Epoch  8, Batch   1431, Loss  0.861115, Average Loss  0.867632, Time  0.238126
2021-09-16 19:13:14.881070 : Epoch 10, Batch    557, Loss  0.852007, Average Loss  0.869496, Time  0.300437
2021-09-16 19:13:15.176882 : Epoch  8, Batch   1432, Loss  0.877254, Average Loss  0.867625, Time  0.237763
2021-09-16 19:13:17.723693 : Epoch  8, Batch   1433, Loss  0.880080, Average Loss  0.867696, Time  0.238359
2021-09-16 19:13:18.085614 : Epoch 10, Batch    558, Loss  0.862337, Average Loss  0.869530, Time  0.264534
2021-09-16 19:13:20.286948 : Epoch  8, Batch   1434, Loss  0.856784, Average Loss  0.867620, Time  0.237460
2021-09-16 19:13:21.068985 : Epoch 10, Batch    559, Loss  0.844768, Average Loss  0.869438, Time  0.265532
2021-09-16 19:13:22.852715 : Epoch  8, Batch   1435, Loss  0.827883, Average Loss  0.867492, Time  0.237947
2021-09-16 19:13:24.058767 : Epoch 10, Batch    560, Loss  0.864389, Average Loss  0.869528, Time  0.264553
2021-09-16 19:13:25.413819 : Epoch  8, Batch   1436, Loss  0.864253, Average Loss  0.867505, Time  0.238151
2021-09-16 19:13:27.148458 : Epoch 10, Batch    561, Loss  0.863680, Average Loss  0.869499, Time  0.322811
2021-09-16 19:13:27.971918 : Epoch  8, Batch   1437, Loss  0.879067, Average Loss  0.867550, Time  0.237824
2021-09-16 19:13:30.227486 : Epoch 10, Batch    562, Loss  0.860483, Average Loss  0.869357, Time  0.264382
2021-09-16 19:13:30.530100 : Epoch  8, Batch   1438, Loss  0.872731, Average Loss  0.867565, Time  0.237267
2021-09-16 19:13:33.069570 : Epoch  8, Batch   1439, Loss  0.867512, Average Loss  0.867571, Time  0.237386
2021-09-16 19:13:33.207838 : Epoch 10, Batch    563, Loss  0.849722, Average Loss  0.869129, Time  0.263959
2021-09-16 19:13:35.628018 : Epoch  8, Batch   1440, Loss  0.873566, Average Loss  0.867683, Time  0.237533
2021-09-16 19:13:36.218468 : Epoch 10, Batch    564, Loss  0.889964, Average Loss  0.869260, Time  0.264920
2021-09-16 19:13:38.202894 : Epoch  8, Batch   1441, Loss  0.872894, Average Loss  0.867719, Time  0.237870
2021-09-16 19:13:39.227747 : Epoch 10, Batch    565, Loss  0.866699, Average Loss  0.869107, Time  0.264652
2021-09-16 19:13:40.755203 : Epoch  8, Batch   1442, Loss  0.870732, Average Loss  0.867817, Time  0.237448
2021-09-16 19:13:42.230218 : Epoch 10, Batch    566, Loss  0.863434, Average Loss  0.869123, Time  0.272440
2021-09-16 19:13:43.322995 : Epoch  8, Batch   1443, Loss  0.887582, Average Loss  0.867956, Time  0.239209
2021-09-16 19:13:45.252442 : Epoch 10, Batch    567, Loss  0.872161, Average Loss  0.869086, Time  0.263972
2021-09-16 19:13:45.884112 : Epoch  8, Batch   1444, Loss  0.880913, Average Loss  0.868057, Time  0.237544
2021-09-16 19:13:48.219605 : Epoch 10, Batch    568, Loss  0.883135, Average Loss  0.869209, Time  0.265172
2021-09-16 19:13:48.445056 : Epoch  8, Batch   1445, Loss  0.871630, Average Loss  0.868098, Time  0.237897
2021-09-16 19:13:50.992840 : Epoch  8, Batch   1446, Loss  0.872297, Average Loss  0.868023, Time  0.237401
2021-09-16 19:13:51.216813 : Epoch 10, Batch    569, Loss  0.876118, Average Loss  0.869233, Time  0.264280
2021-09-16 19:13:53.545042 : Epoch  8, Batch   1447, Loss  0.902430, Average Loss  0.868200, Time  0.237930
2021-09-16 19:13:54.222484 : Epoch 10, Batch    570, Loss  0.859195, Average Loss  0.869225, Time  0.265193
2021-09-16 19:13:56.110035 : Epoch  8, Batch   1448, Loss  0.855645, Average Loss  0.868044, Time  0.237554
2021-09-16 19:13:57.219376 : Epoch 10, Batch    571, Loss  0.900091, Average Loss  0.869509, Time  0.264795
2021-09-16 19:13:58.667746 : Epoch  8, Batch   1449, Loss  0.853837, Average Loss  0.867882, Time  0.237587
2021-09-16 19:14:00.211975 : Epoch 10, Batch    572, Loss  0.853283, Average Loss  0.869496, Time  0.264186
2021-09-16 19:14:01.233109 : Epoch  8, Batch   1450, Loss  0.844649, Average Loss  0.867819, Time  0.237374
2021-09-16 19:14:03.175168 : Epoch 10, Batch    573, Loss  0.892174, Average Loss  0.869624, Time  0.264040
2021-09-16 19:14:03.794061 : Epoch  8, Batch   1451, Loss  0.873004, Average Loss  0.867750, Time  0.237733
2021-09-16 19:14:06.163761 : Epoch 10, Batch    574, Loss  0.867042, Average Loss  0.869622, Time  0.264729
2021-09-16 19:14:06.360038 : Epoch  8, Batch   1452, Loss  0.858415, Average Loss  0.867694, Time  0.237490
2021-09-16 19:14:08.907845 : Epoch  8, Batch   1453, Loss  0.861145, Average Loss  0.867740, Time  0.237925
2021-09-16 19:14:09.151695 : Epoch 10, Batch    575, Loss  0.881135, Average Loss  0.869669, Time  0.264988
2021-09-16 19:14:11.478059 : Epoch  8, Batch   1454, Loss  0.864017, Average Loss  0.867550, Time  0.237498
2021-09-16 19:14:12.109361 : Epoch 10, Batch    576, Loss  0.880314, Average Loss  0.869644, Time  0.264623
2021-09-16 19:14:14.059907 : Epoch  8, Batch   1455, Loss  0.868774, Average Loss  0.867497, Time  0.237948
2021-09-16 19:14:15.080297 : Epoch 10, Batch    577, Loss  0.853587, Average Loss  0.869567, Time  0.264515
2021-09-16 19:14:16.628681 : Epoch  8, Batch   1456, Loss  0.850119, Average Loss  0.867496, Time  0.237684
2021-09-16 19:14:18.043020 : Epoch 10, Batch    578, Loss  0.863883, Average Loss  0.869564, Time  0.264395
2021-09-16 19:14:19.185724 : Epoch  8, Batch   1457, Loss  0.892323, Average Loss  0.867598, Time  0.237614
2021-09-16 19:14:21.006538 : Epoch 10, Batch    579, Loss  0.889607, Average Loss  0.869686, Time  0.264381
2021-09-16 19:14:21.750944 : Epoch  8, Batch   1458, Loss  0.877830, Average Loss  0.867654, Time  0.237858
2021-09-16 19:14:23.965666 : Epoch 10, Batch    580, Loss  0.863652, Average Loss  0.869679, Time  0.264489
2021-09-16 19:14:24.317969 : Epoch  8, Batch   1459, Loss  0.892776, Average Loss  0.867734, Time  0.237647
2021-09-16 19:14:26.874763 : Epoch  8, Batch   1460, Loss  0.854626, Average Loss  0.867684, Time  0.237724
2021-09-16 19:14:26.960133 : Epoch 10, Batch    581, Loss  0.846105, Average Loss  0.869467, Time  0.265762
2021-09-16 19:14:29.432386 : Epoch  8, Batch   1461, Loss  0.876520, Average Loss  0.867754, Time  0.237523
2021-09-16 19:14:29.955343 : Epoch 10, Batch    582, Loss  0.888032, Average Loss  0.869507, Time  0.276724
2021-09-16 19:14:31.989677 : Epoch  8, Batch   1462, Loss  0.855581, Average Loss  0.867721, Time  0.237427
2021-09-16 19:14:32.926991 : Epoch 10, Batch    583, Loss  0.873746, Average Loss  0.869532, Time  0.264558
2021-09-16 19:14:34.547209 : Epoch  8, Batch   1463, Loss  0.875745, Average Loss  0.867797, Time  0.237748
2021-09-16 19:14:35.902911 : Epoch 10, Batch    584, Loss  0.878753, Average Loss  0.869555, Time  0.265289
2021-09-16 19:14:37.108892 : Epoch  8, Batch   1464, Loss  0.874519, Average Loss  0.867854, Time  0.237479
2021-09-16 19:14:38.906210 : Epoch 10, Batch    585, Loss  0.860278, Average Loss  0.869591, Time  0.263775
2021-09-16 19:14:39.673998 : Epoch  8, Batch   1465, Loss  0.868771, Average Loss  0.867747, Time  0.237664
2021-09-16 19:14:41.871945 : Epoch 10, Batch    586, Loss  0.857864, Average Loss  0.869472, Time  0.265908
2021-09-16 19:14:42.228907 : Epoch  8, Batch   1466, Loss  0.866776, Average Loss  0.867690, Time  0.237634
2021-09-16 19:14:44.777825 : Epoch  8, Batch   1467, Loss  0.875985, Average Loss  0.867776, Time  0.237587
2021-09-16 19:14:44.833961 : Epoch 10, Batch    587, Loss  0.869928, Average Loss  0.869504, Time  0.265671
2021-09-16 19:14:47.351978 : Epoch  8, Batch   1468, Loss  0.874319, Average Loss  0.867688, Time  0.238143
2021-09-16 19:14:47.819538 : Epoch 10, Batch    588, Loss  0.886280, Average Loss  0.869474, Time  0.265029
2021-09-16 19:14:49.907046 : Epoch  8, Batch   1469, Loss  0.860489, Average Loss  0.867622, Time  0.237560
2021-09-16 19:14:50.777172 : Epoch 10, Batch    589, Loss  0.868461, Average Loss  0.869469, Time  0.264026
2021-09-16 19:14:52.464123 : Epoch  8, Batch   1470, Loss  0.868353, Average Loss  0.867632, Time  0.237401
2021-09-16 19:14:53.730703 : Epoch 10, Batch    590, Loss  0.890443, Average Loss  0.869498, Time  0.264329
2021-09-16 19:14:55.015725 : Epoch  8, Batch   1471, Loss  0.884664, Average Loss  0.867747, Time  0.237557
2021-09-16 19:14:56.691171 : Epoch 10, Batch    591, Loss  0.853249, Average Loss  0.869322, Time  0.264197
2021-09-16 19:14:57.579883 : Epoch  8, Batch   1472, Loss  0.872398, Average Loss  0.867637, Time  0.237827
2021-09-16 19:14:59.688908 : Epoch 10, Batch    592, Loss  0.863745, Average Loss  0.869281, Time  0.264277
2021-09-16 19:15:00.142787 : Epoch  8, Batch   1473, Loss  0.864707, Average Loss  0.867599, Time  0.237323
2021-09-16 19:15:02.680521 : Epoch 10, Batch    593, Loss  0.868146, Average Loss  0.869212, Time  0.264305
2021-09-16 19:15:02.708224 : Epoch  8, Batch   1474, Loss  0.850056, Average Loss  0.867497, Time  0.240231
2021-09-16 19:15:05.279695 : Epoch  8, Batch   1475, Loss  0.863436, Average Loss  0.867532, Time  0.237370
2021-09-16 19:15:05.653416 : Epoch 10, Batch    594, Loss  0.875624, Average Loss  0.869218, Time  0.264639
2021-09-16 19:15:07.837737 : Epoch  8, Batch   1476, Loss  0.874004, Average Loss  0.867462, Time  0.237761
2021-09-16 19:15:08.688501 : Epoch 10, Batch    595, Loss  0.868646, Average Loss  0.869196, Time  0.265221
2021-09-16 19:15:10.404976 : Epoch  8, Batch   1477, Loss  0.875395, Average Loss  0.867337, Time  0.237488
2021-09-16 19:15:11.708940 : Epoch 10, Batch    596, Loss  0.882769, Average Loss  0.869294, Time  0.264660
2021-09-16 19:15:12.976143 : Epoch  8, Batch   1478, Loss  0.866986, Average Loss  0.867425, Time  0.238250
2021-09-16 19:15:15.538930 : Epoch  8, Batch   1479, Loss  0.852759, Average Loss  0.867376, Time  0.237460
2021-09-16 19:15:18.110917 : Epoch  8, Batch   1480, Loss  0.870759, Average Loss  0.867360, Time  0.237620
2021-09-16 19:15:20.673783 : Epoch  8, Batch   1481, Loss  0.870821, Average Loss  0.867424, Time  0.238144
2021-09-16 19:15:23.243880 : Epoch  8, Batch   1482, Loss  0.863653, Average Loss  0.867472, Time  0.237777
2021-09-16 19:15:25.818845 : Epoch  8, Batch   1483, Loss  0.867889, Average Loss  0.867466, Time  0.238156
2021-09-16 19:15:28.382579 : Epoch  8, Batch   1484, Loss  0.852003, Average Loss  0.867485, Time  0.237942
2021-09-16 19:15:30.948706 : Epoch  8, Batch   1485, Loss  0.882944, Average Loss  0.867482, Time  0.237688
2021-09-16 19:15:33.516963 : Epoch  8, Batch   1486, Loss  0.876425, Average Loss  0.867510, Time  0.237807
2021-09-16 19:15:36.076920 : Epoch  8, Batch   1487, Loss  0.860709, Average Loss  0.867412, Time  0.237248
2021-09-16 19:15:38.646674 : Epoch  8, Batch   1488, Loss  0.861645, Average Loss  0.867382, Time  0.237731
2021-09-16 19:15:41.211674 : Epoch  8, Batch   1489, Loss  0.881860, Average Loss  0.867538, Time  0.238731
2021-09-16 19:15:43.768873 : Epoch  8, Batch   1490, Loss  0.878400, Average Loss  0.867559, Time  0.237486
2021-09-16 19:15:46.330718 : Epoch  8, Batch   1491, Loss  0.888615, Average Loss  0.867776, Time  0.237399
2021-09-16 19:15:48.893068 : Epoch  8, Batch   1492, Loss  0.870799, Average Loss  0.867679, Time  0.237653
2021-09-16 19:15:51.448805 : Epoch  8, Batch   1493, Loss  0.873065, Average Loss  0.867765, Time  0.237555
2021-09-16 19:15:54.030812 : Epoch  8, Batch   1494, Loss  0.870972, Average Loss  0.867793, Time  0.237862
2021-09-16 19:15:56.628840 : Epoch  8, Batch   1495, Loss  0.866472, Average Loss  0.867672, Time  0.237502
2021-09-16 19:15:59.201819 : Epoch  8, Batch   1496, Loss  0.872484, Average Loss  0.867786, Time  0.237928
2021-09-16 19:16:01.763139 : Epoch  8, Batch   1497, Loss  0.878483, Average Loss  0.867792, Time  0.237273
2021-09-16 19:16:04.322915 : Epoch  8, Batch   1498, Loss  0.852140, Average Loss  0.867721, Time  0.237950
2021-09-16 19:16:06.891846 : Epoch  8, Batch   1499, Loss  0.874812, Average Loss  0.867684, Time  0.237405
2021-09-16 19:16:09.453069 : Epoch  8, Batch   1500, Loss  0.884332, Average Loss  0.867796, Time  0.237605
2021-09-16 19:16:12.021089 : Epoch  8, Batch   1501, Loss  0.855490, Average Loss  0.867799, Time  0.237487
2021-09-16 19:16:14.584908 : Epoch  8, Batch   1502, Loss  0.854756, Average Loss  0.867745, Time  0.238055
2021-09-16 19:16:17.180916 : Epoch  8, Batch   1503, Loss  0.862755, Average Loss  0.867712, Time  0.238016
2021-09-16 19:16:19.740890 : Epoch  8, Batch   1504, Loss  0.868300, Average Loss  0.867662, Time  0.237623
2021-09-16 19:16:22.300738 : Epoch  8, Batch   1505, Loss  0.870605, Average Loss  0.867804, Time  0.237543
2021-09-16 19:16:24.869976 : Epoch  8, Batch   1506, Loss  0.853669, Average Loss  0.867765, Time  0.237789
2021-09-16 19:16:27.431046 : Epoch  8, Batch   1507, Loss  0.847585, Average Loss  0.867622, Time  0.237366
2021-09-16 19:16:29.988922 : Epoch  8, Batch   1508, Loss  0.860648, Average Loss  0.867554, Time  0.237264
2021-09-16 19:19:46.921484 : CheckPoint: Validation Loss  0.00029226, Best Loss  0.00029014
2021-09-16 19:19:49.918118 : Epoch 10, Batch    597, Loss  0.855930, Average Loss  0.869158, Time  0.264651
2021-09-16 19:19:52.896349 : Epoch 10, Batch    598, Loss  0.853660, Average Loss  0.869159, Time  0.272613
2021-09-16 19:19:55.909098 : Epoch 10, Batch    599, Loss  0.874513, Average Loss  0.869157, Time  0.264083
2021-09-16 19:19:58.869834 : Epoch 10, Batch    600, Loss  0.894412, Average Loss  0.869244, Time  0.264021
2021-09-16 19:20:01.854959 : Epoch 10, Batch    601, Loss  0.869902, Average Loss  0.869220, Time  0.265174
2021-09-16 19:20:04.813884 : Epoch 10, Batch    602, Loss  0.861404, Average Loss  0.869178, Time  0.264345
2021-09-16 19:20:07.772853 : Epoch 10, Batch    603, Loss  0.876847, Average Loss  0.869211, Time  0.263780
2021-09-16 19:20:10.723106 : Epoch 10, Batch    604, Loss  0.892134, Average Loss  0.869157, Time  0.264148
2021-09-16 19:20:13.699999 : Epoch 10, Batch    605, Loss  0.853950, Average Loss  0.869116, Time  0.264745
2021-09-16 19:20:16.649191 : Epoch 10, Batch    606, Loss  0.848832, Average Loss  0.868921, Time  0.264596
2021-09-16 19:20:19.619260 : Epoch 10, Batch    607, Loss  0.882058, Average Loss  0.868997, Time  0.264250
2021-09-16 19:20:22.602816 : Epoch 10, Batch    608, Loss  0.863105, Average Loss  0.869038, Time  0.263923
2021-09-16 19:20:25.087938 : CheckPoint: Validation Loss  0.00029971, Best Loss  0.00029207
2021-09-16 19:20:25.567450 : Epoch 10, Batch    609, Loss  0.884414, Average Loss  0.869169, Time  0.264075
2021-09-16 19:20:27.647700 : Epoch  8, Batch   1509, Loss  0.887155, Average Loss  0.867601, Time  0.237713
2021-09-16 19:20:28.541556 : Epoch 10, Batch    610, Loss  0.830743, Average Loss  0.868910, Time  0.265370
2021-09-16 19:20:30.218701 : Epoch  8, Batch   1510, Loss  0.879613, Average Loss  0.867691, Time  0.237979
2021-09-16 19:20:31.494603 : Epoch 10, Batch    611, Loss  0.860639, Average Loss  0.868910, Time  0.266571
2021-09-16 19:20:32.785901 : Epoch  8, Batch   1511, Loss  0.875145, Average Loss  0.867708, Time  0.237775
2021-09-16 19:20:34.493044 : Epoch 10, Batch    612, Loss  0.898126, Average Loss  0.868930, Time  0.265954
2021-09-16 19:20:35.349802 : Epoch  8, Batch   1512, Loss  0.844359, Average Loss  0.867595, Time  0.237657
2021-09-16 19:20:37.524615 : Epoch 10, Batch    613, Loss  0.862704, Average Loss  0.868800, Time  0.271786
2021-09-16 19:20:37.910832 : Epoch  8, Batch   1513, Loss  0.852607, Average Loss  0.867568, Time  0.237493
2021-09-16 19:20:40.483094 : Epoch  8, Batch   1514, Loss  0.864942, Average Loss  0.867644, Time  0.237976
2021-09-16 19:20:40.495404 : Epoch 10, Batch    614, Loss  0.860243, Average Loss  0.868843, Time  0.265804
2021-09-16 19:20:43.077673 : Epoch  8, Batch   1515, Loss  0.869552, Average Loss  0.867661, Time  0.237395
2021-09-16 19:20:43.509490 : Epoch 10, Batch    615, Loss  0.878001, Average Loss  0.868940, Time  0.264244
2021-09-16 19:20:45.670033 : Epoch  8, Batch   1516, Loss  0.875882, Average Loss  0.867661, Time  0.237835
2021-09-16 19:20:46.486818 : Epoch 10, Batch    616, Loss  0.854173, Average Loss  0.868824, Time  0.264267
2021-09-16 19:20:48.238656 : Epoch  8, Batch   1517, Loss  0.865932, Average Loss  0.867728, Time  0.237496
2021-09-16 19:20:49.455674 : Epoch 10, Batch    617, Loss  0.867005, Average Loss  0.868877, Time  0.265270
2021-09-16 19:20:50.811750 : Epoch  8, Batch   1518, Loss  0.853743, Average Loss  0.867708, Time  0.238222
2021-09-16 19:20:52.408619 : Epoch 10, Batch    618, Loss  0.882304, Average Loss  0.868926, Time  0.264022
2021-09-16 19:20:53.373752 : Epoch  8, Batch   1519, Loss  0.839204, Average Loss  0.867542, Time  0.237484
2021-09-16 19:20:55.360789 : Epoch 10, Batch    619, Loss  0.883774, Average Loss  0.869050, Time  0.264748
2021-09-16 19:20:55.924868 : Epoch  8, Batch   1520, Loss  0.885256, Average Loss  0.867639, Time  0.237501
2021-09-16 19:20:58.310370 : Epoch 10, Batch    620, Loss  0.875601, Average Loss  0.869015, Time  0.263973
2021-09-16 19:20:58.496383 : Epoch  8, Batch   1521, Loss  0.887220, Average Loss  0.867779, Time  0.237978
2021-09-16 19:21:01.042079 : Epoch  8, Batch   1522, Loss  0.889115, Average Loss  0.867960, Time  0.237466
2021-09-16 19:21:01.277067 : Epoch 10, Batch    621, Loss  0.868188, Average Loss  0.869065, Time  0.264252
2021-09-16 19:21:03.612889 : Epoch  8, Batch   1523, Loss  0.857734, Average Loss  0.867880, Time  0.237423
2021-09-16 19:21:04.217349 : Epoch 10, Batch    622, Loss  0.861623, Average Loss  0.869005, Time  0.264196
2021-09-16 19:21:06.296724 : Epoch  8, Batch   1524, Loss  0.879747, Average Loss  0.868017, Time  0.237629
2021-09-16 19:21:07.221111 : Epoch 10, Batch    623, Loss  0.865421, Average Loss  0.869037, Time  0.264883
2021-09-16 19:21:08.861931 : Epoch  8, Batch   1525, Loss  0.882215, Average Loss  0.868143, Time  0.237505
2021-09-16 19:21:10.215828 : Epoch 10, Batch    624, Loss  0.891869, Average Loss  0.869219, Time  0.265826
2021-09-16 19:21:11.428966 : Epoch  8, Batch   1526, Loss  0.870018, Average Loss  0.868005, Time  0.237688
2021-09-16 19:21:13.178375 : Epoch 10, Batch    625, Loss  0.856163, Average Loss  0.869141, Time  0.264179
2021-09-16 19:21:13.999873 : Epoch  8, Batch   1527, Loss  0.871499, Average Loss  0.868060, Time  0.237301
2021-09-16 19:21:16.178989 : Epoch 10, Batch    626, Loss  0.848567, Average Loss  0.869036, Time  0.265366
2021-09-16 19:21:16.567927 : Epoch  8, Batch   1528, Loss  0.877991, Average Loss  0.868160, Time  0.237488
2021-09-16 19:21:19.117814 : Epoch  8, Batch   1529, Loss  0.869981, Average Loss  0.868294, Time  0.237287
2021-09-16 19:21:19.158960 : Epoch 10, Batch    627, Loss  0.862706, Average Loss  0.868940, Time  0.264131
2021-09-16 19:21:21.686048 : Epoch  8, Batch   1530, Loss  0.866692, Average Loss  0.868426, Time  0.237379
2021-09-16 19:21:22.140983 : Epoch 10, Batch    628, Loss  0.859998, Average Loss  0.868936, Time  0.271434
2021-09-16 19:21:24.245701 : Epoch  8, Batch   1531, Loss  0.890396, Average Loss  0.868562, Time  0.237715
2021-09-16 19:21:25.110056 : Epoch 10, Batch    629, Loss  0.879292, Average Loss  0.869048, Time  0.266270
2021-09-16 19:21:26.830958 : Epoch  8, Batch   1532, Loss  0.874380, Average Loss  0.868650, Time  0.237470
2021-09-16 19:21:28.151975 : Epoch 10, Batch    630, Loss  0.875944, Average Loss  0.869105, Time  0.264229
2021-09-16 19:21:29.394683 : Epoch  8, Batch   1533, Loss  0.862886, Average Loss  0.868662, Time  0.237869
2021-09-16 19:21:31.149482 : Epoch 10, Batch    631, Loss  0.846837, Average Loss  0.868903, Time  0.264649
2021-09-16 19:21:31.963881 : Epoch  8, Batch   1534, Loss  0.876648, Average Loss  0.868593, Time  0.237579
2021-09-16 19:21:34.113074 : Epoch 10, Batch    632, Loss  0.894055, Average Loss  0.869046, Time  0.264705
2021-09-16 19:21:34.530104 : Epoch  8, Batch   1535, Loss  0.867333, Average Loss  0.868584, Time  0.237460
2021-09-16 19:21:37.078667 : Epoch  8, Batch   1536, Loss  0.909147, Average Loss  0.868856, Time  0.237733
2021-09-16 19:21:37.104229 : Epoch 10, Batch    633, Loss  0.851465, Average Loss  0.868951, Time  0.264019
2021-09-16 19:21:39.641726 : Epoch  8, Batch   1537, Loss  0.861360, Average Loss  0.868819, Time  0.237885
2021-09-16 19:21:40.085687 : Epoch 10, Batch    634, Loss  0.880805, Average Loss  0.869030, Time  0.265671
2021-09-16 19:21:42.241913 : Epoch  8, Batch   1538, Loss  0.872095, Average Loss  0.868929, Time  0.237501
2021-09-16 19:21:43.056358 : Epoch 10, Batch    635, Loss  0.867269, Average Loss  0.869080, Time  0.263995
2021-09-16 19:21:44.811904 : Epoch  8, Batch   1539, Loss  0.865718, Average Loss  0.868957, Time  0.237934
2021-09-16 19:21:46.009275 : Epoch 10, Batch    636, Loss  0.866871, Average Loss  0.868987, Time  0.264438
2021-09-16 19:21:47.383914 : Epoch  8, Batch   1540, Loss  0.882887, Average Loss  0.869086, Time  0.238470
2021-09-16 19:21:49.004011 : Epoch 10, Batch    637, Loss  0.872116, Average Loss  0.869054, Time  0.265268
2021-09-16 19:21:49.950658 : Epoch  8, Batch   1541, Loss  0.869751, Average Loss  0.869108, Time  0.238207
2021-09-16 19:21:51.994022 : Epoch 10, Batch    638, Loss  0.887750, Average Loss  0.869035, Time  0.264447
2021-09-16 19:21:52.517907 : Epoch  8, Batch   1542, Loss  0.875726, Average Loss  0.869162, Time  0.237825
2021-09-16 19:21:54.981742 : Epoch 10, Batch    639, Loss  0.878198, Average Loss  0.869062, Time  0.265939
2021-09-16 19:21:55.069958 : Epoch  8, Batch   1543, Loss  0.868155, Average Loss  0.869132, Time  0.237587
2021-09-16 19:21:57.633798 : Epoch  8, Batch   1544, Loss  0.870730, Average Loss  0.869129, Time  0.237924
2021-09-16 19:21:57.967853 : Epoch 10, Batch    640, Loss  0.866406, Average Loss  0.869095, Time  0.264498
2021-09-16 19:22:00.200261 : Epoch  8, Batch   1545, Loss  0.877418, Average Loss  0.869270, Time  0.237943
2021-09-16 19:22:00.923760 : Epoch 10, Batch    641, Loss  0.857536, Average Loss  0.869007, Time  0.265350
2021-09-16 19:22:02.763006 : Epoch  8, Batch   1546, Loss  0.882291, Average Loss  0.869280, Time  0.237652
2021-09-16 19:22:03.917696 : Epoch 10, Batch    642, Loss  0.888800, Average Loss  0.868977, Time  0.264858
2021-09-16 19:22:05.347961 : Epoch  8, Batch   1547, Loss  0.872773, Average Loss  0.869302, Time  0.237547
2021-09-16 19:22:06.884205 : Epoch 10, Batch    643, Loss  0.856308, Average Loss  0.868907, Time  0.264844
2021-09-16 19:22:07.898909 : Epoch  8, Batch   1548, Loss  0.876662, Average Loss  0.869431, Time  0.237735
2021-09-16 19:22:09.852341 : Epoch 10, Batch    644, Loss  0.842657, Average Loss  0.868748, Time  0.276173
2021-09-16 19:22:10.458778 : Epoch  8, Batch   1549, Loss  0.871293, Average Loss  0.869439, Time  0.237695
2021-09-16 19:22:12.822737 : Epoch 10, Batch    645, Loss  0.857446, Average Loss  0.868528, Time  0.265117
2021-09-16 19:22:13.031866 : Epoch  8, Batch   1550, Loss  0.887578, Average Loss  0.869570, Time  0.237641
2021-09-16 19:22:15.586289 : Epoch  8, Batch   1551, Loss  0.870152, Average Loss  0.869606, Time  0.237732
2021-09-16 19:22:15.822407 : Epoch 10, Batch    646, Loss  0.859115, Average Loss  0.868537, Time  0.263886
2021-09-16 19:22:18.148920 : Epoch  8, Batch   1552, Loss  0.879793, Average Loss  0.869689, Time  0.237645
2021-09-16 19:22:18.759685 : Epoch 10, Batch    647, Loss  0.879733, Average Loss  0.868639, Time  0.264108
2021-09-16 19:22:20.713813 : Epoch  8, Batch   1553, Loss  0.847010, Average Loss  0.869675, Time  0.237590
2021-09-16 19:22:21.719504 : Epoch 10, Batch    648, Loss  0.861637, Average Loss  0.868526, Time  0.264503
2021-09-16 19:22:23.282916 : Epoch  8, Batch   1554, Loss  0.877063, Average Loss  0.869661, Time  0.237943
2021-09-16 19:22:24.700254 : Epoch 10, Batch    649, Loss  0.871894, Average Loss  0.868524, Time  0.264184
2021-09-16 19:22:25.846949 : Epoch  8, Batch   1555, Loss  0.884582, Average Loss  0.869655, Time  0.237597
2021-09-16 19:22:27.653150 : Epoch 10, Batch    650, Loss  0.874152, Average Loss  0.868575, Time  0.263761
2021-09-16 19:22:28.407715 : Epoch  8, Batch   1556, Loss  0.886248, Average Loss  0.869643, Time  0.237616
2021-09-16 19:22:30.621484 : Epoch 10, Batch    651, Loss  0.888686, Average Loss  0.868689, Time  0.264398
2021-09-16 19:22:30.967898 : Epoch  8, Batch   1557, Loss  0.859718, Average Loss  0.869624, Time  0.237440
2021-09-16 19:22:33.527691 : Epoch  8, Batch   1558, Loss  0.858645, Average Loss  0.869577, Time  0.237612
2021-09-16 19:22:33.581944 : Epoch 10, Batch    652, Loss  0.867024, Average Loss  0.868659, Time  0.263809
2021-09-16 19:22:36.100120 : Epoch  8, Batch   1559, Loss  0.863124, Average Loss  0.869691, Time  0.237773
2021-09-16 19:22:36.559799 : Epoch 10, Batch    653, Loss  0.872878, Average Loss  0.868731, Time  0.265100
2021-09-16 19:22:38.665068 : Epoch  8, Batch   1560, Loss  0.867313, Average Loss  0.869791, Time  0.237577
2021-09-16 19:22:39.520915 : Epoch 10, Batch    654, Loss  0.890390, Average Loss  0.868860, Time  0.264659
2021-09-16 19:22:41.235028 : Epoch  8, Batch   1561, Loss  0.847237, Average Loss  0.869577, Time  0.238714
2021-09-16 19:22:42.512861 : Epoch 10, Batch    655, Loss  0.887073, Average Loss  0.868922, Time  0.264528
2021-09-16 19:22:43.802750 : Epoch  8, Batch   1562, Loss  0.870321, Average Loss  0.869470, Time  0.237567
2021-09-16 19:22:45.482197 : Epoch 10, Batch    656, Loss  0.864581, Average Loss  0.868771, Time  0.265679
2021-09-16 19:22:46.370729 : Epoch  8, Batch   1563, Loss  0.839468, Average Loss  0.869213, Time  0.237699
2021-09-16 19:22:48.484967 : Epoch 10, Batch    657, Loss  0.837581, Average Loss  0.868683, Time  0.265049
2021-09-16 19:22:48.943967 : Epoch  8, Batch   1564, Loss  0.867461, Average Loss  0.869187, Time  0.237673
2021-09-16 19:22:51.494795 : Epoch 10, Batch    658, Loss  0.861915, Average Loss  0.868671, Time  0.263909
2021-09-16 19:22:51.493414 : Epoch  8, Batch   1565, Loss  0.863205, Average Loss  0.869163, Time  0.238188
2021-09-16 19:22:54.083068 : Epoch  8, Batch   1566, Loss  0.884145, Average Loss  0.869228, Time  0.237556
2021-09-16 19:22:54.457178 : Epoch 10, Batch    659, Loss  0.871878, Average Loss  0.868703, Time  0.276241
2021-09-16 19:22:56.657950 : Epoch  8, Batch   1567, Loss  0.859122, Average Loss  0.869144, Time  0.237919
2021-09-16 19:22:57.418632 : Epoch 10, Batch    660, Loss  0.856993, Average Loss  0.868604, Time  0.264853
2021-09-16 19:22:59.219650 : Epoch  8, Batch   1568, Loss  0.869508, Average Loss  0.869117, Time  0.237347
2021-09-16 19:23:00.387096 : Epoch 10, Batch    661, Loss  0.853015, Average Loss  0.868518, Time  0.264715
2021-09-16 19:23:01.787891 : Epoch  8, Batch   1569, Loss  0.876372, Average Loss  0.869215, Time  0.238050
2021-09-16 19:23:03.403974 : Epoch 10, Batch    662, Loss  0.855289, Average Loss  0.868539, Time  0.266099
2021-09-16 19:23:04.357840 : Epoch  8, Batch   1570, Loss  0.882701, Average Loss  0.869235, Time  0.237755
2021-09-16 19:23:06.395450 : Epoch 10, Batch    663, Loss  0.872280, Average Loss  0.868661, Time  0.264404
2021-09-16 19:23:06.908670 : Epoch  8, Batch   1571, Loss  0.874519, Average Loss  0.869150, Time  0.237784
2021-09-16 19:23:09.355984 : Epoch 10, Batch    664, Loss  0.860878, Average Loss  0.868693, Time  0.264623
2021-09-16 19:23:09.463903 : Epoch  8, Batch   1572, Loss  0.851557, Average Loss  0.869125, Time  0.237298
2021-09-16 19:23:12.013069 : Epoch  8, Batch   1573, Loss  0.850669, Average Loss  0.868952, Time  0.237590
2021-09-16 19:23:12.311469 : Epoch 10, Batch    665, Loss  0.865077, Average Loss  0.868598, Time  0.264014
2021-09-16 19:23:14.577967 : Epoch  8, Batch   1574, Loss  0.869290, Average Loss  0.868880, Time  0.237854
2021-09-16 19:23:15.272678 : Epoch 10, Batch    666, Loss  0.877672, Average Loss  0.868663, Time  0.263952
2021-09-16 19:23:17.153905 : Epoch  8, Batch   1575, Loss  0.872579, Average Loss  0.868914, Time  0.237699
2021-09-16 19:23:18.267414 : Epoch 10, Batch    667, Loss  0.852684, Average Loss  0.868660, Time  0.265098
2021-09-16 19:23:19.728696 : Epoch  8, Batch   1576, Loss  0.886791, Average Loss  0.869062, Time  0.237679
2021-09-16 19:23:21.265038 : Epoch 10, Batch    668, Loss  0.881730, Average Loss  0.868640, Time  0.264073
2021-09-16 19:23:22.297945 : Epoch  8, Batch   1577, Loss  0.874854, Average Loss  0.869061, Time  0.237451
2021-09-16 19:23:24.230066 : Epoch 10, Batch    669, Loss  0.867667, Average Loss  0.868617, Time  0.264354
2021-09-16 19:23:24.870657 : Epoch  8, Batch   1578, Loss  0.863353, Average Loss  0.869046, Time  0.237970
2021-09-16 19:23:27.193037 : Epoch 10, Batch    670, Loss  0.851623, Average Loss  0.868550, Time  0.265292
2021-09-16 19:23:27.432221 : Epoch  8, Batch   1579, Loss  0.866991, Average Loss  0.869045, Time  0.237557
2021-09-16 19:23:29.983796 : Epoch  8, Batch   1580, Loss  0.890160, Average Loss  0.869186, Time  0.237695
2021-09-16 19:23:30.192336 : Epoch 10, Batch    671, Loss  0.859771, Average Loss  0.868467, Time  0.264357
2021-09-16 19:23:32.551928 : Epoch  8, Batch   1581, Loss  0.879689, Average Loss  0.869172, Time  0.237394
2021-09-16 19:23:33.162565 : Epoch 10, Batch    672, Loss  0.869999, Average Loss  0.868528, Time  0.264953
2021-09-16 19:23:35.110135 : Epoch  8, Batch   1582, Loss  0.854113, Average Loss  0.869206, Time  0.237705
2021-09-16 19:23:36.130393 : Epoch 10, Batch    673, Loss  0.874977, Average Loss  0.868660, Time  0.266136
2021-09-16 19:23:37.678131 : Epoch  8, Batch   1583, Loss  0.857646, Average Loss  0.869063, Time  0.237235
2021-09-16 19:23:39.182009 : Epoch 10, Batch    674, Loss  0.861152, Average Loss  0.868635, Time  0.271543
2021-09-16 19:23:40.237445 : Epoch  8, Batch   1584, Loss  0.852258, Average Loss  0.868959, Time  0.237879
2021-09-16 19:23:42.142868 : Epoch 10, Batch    675, Loss  0.862834, Average Loss  0.868643, Time  0.264062
2021-09-16 19:23:42.798908 : Epoch  8, Batch   1585, Loss  0.896262, Average Loss  0.869077, Time  0.237646
2021-09-16 19:23:45.122182 : Epoch 10, Batch    676, Loss  0.864116, Average Loss  0.868640, Time  0.264011
2021-09-16 19:23:45.365026 : Epoch  8, Batch   1586, Loss  0.872240, Average Loss  0.869029, Time  0.238100
2021-09-16 19:23:47.914828 : Epoch  8, Batch   1587, Loss  0.858438, Average Loss  0.868949, Time  0.237471
2021-09-16 19:23:48.080936 : Epoch 10, Batch    677, Loss  0.858347, Average Loss  0.868565, Time  0.263875
2021-09-16 19:23:50.482784 : Epoch  8, Batch   1588, Loss  0.864850, Average Loss  0.868961, Time  0.238600
2021-09-16 19:23:51.047924 : Epoch 10, Batch    678, Loss  0.890463, Average Loss  0.868613, Time  0.264310
2021-09-16 19:23:53.041896 : Epoch  8, Batch   1589, Loss  0.859414, Average Loss  0.868933, Time  0.238129
2021-09-16 19:23:54.059739 : Epoch 10, Batch    679, Loss  0.877814, Average Loss  0.868600, Time  0.263840
2021-09-16 19:23:55.623732 : Epoch  8, Batch   1590, Loss  0.859903, Average Loss  0.868959, Time  0.238574
2021-09-16 19:23:57.026743 : Epoch 10, Batch    680, Loss  0.860776, Average Loss  0.868571, Time  0.265719
2021-09-16 19:23:58.178125 : Epoch  8, Batch   1591, Loss  0.854783, Average Loss  0.868863, Time  0.237569
2021-09-16 19:24:00.002717 : Epoch 10, Batch    681, Loss  0.847973, Average Loss  0.868536, Time  0.264790
2021-09-16 19:24:00.737678 : Epoch  8, Batch   1592, Loss  0.884685, Average Loss  0.868875, Time  0.238391
2021-09-16 19:24:02.978696 : Epoch 10, Batch    682, Loss  0.869589, Average Loss  0.868594, Time  0.265208
2021-09-16 19:24:03.320913 : Epoch  8, Batch   1593, Loss  0.855463, Average Loss  0.868797, Time  0.237597
2021-09-16 19:24:05.875705 : Epoch  8, Batch   1594, Loss  0.870748, Average Loss  0.868850, Time  0.237585
2021-09-16 19:24:05.973944 : Epoch 10, Batch    683, Loss  0.870343, Average Loss  0.868544, Time  0.264784
2021-09-16 19:24:08.517686 : Epoch  8, Batch   1595, Loss  0.875021, Average Loss  0.868911, Time  0.237662
2021-09-16 19:24:08.947219 : Epoch 10, Batch    684, Loss  0.870996, Average Loss  0.868628, Time  0.263968
2021-09-16 19:24:11.082659 : Epoch  8, Batch   1596, Loss  0.874480, Average Loss  0.868958, Time  0.237756
2021-09-16 19:24:11.896493 : Epoch 10, Batch    685, Loss  0.877745, Average Loss  0.868683, Time  0.263880
2021-09-16 19:24:13.646919 : Epoch  8, Batch   1597, Loss  0.852790, Average Loss  0.868968, Time  0.237882
2021-09-16 19:24:14.904395 : Epoch 10, Batch    686, Loss  0.882799, Average Loss  0.868775, Time  0.264123
2021-09-16 19:24:16.211979 : Epoch  8, Batch   1598, Loss  0.864096, Average Loss  0.868908, Time  0.237558
2021-09-16 19:24:17.866615 : Epoch 10, Batch    687, Loss  0.851638, Average Loss  0.868716, Time  0.264837
2021-09-16 19:24:18.777818 : Epoch  8, Batch   1599, Loss  0.874063, Average Loss  0.868898, Time  0.237526
2021-09-16 19:24:20.853350 : Epoch 10, Batch    688, Loss  0.852445, Average Loss  0.868540, Time  0.264386
2021-09-16 19:24:21.343666 : Epoch  8, Batch   1600, Loss  0.867834, Average Loss  0.868955, Time  0.237726
2021-09-16 19:24:23.840423 : Epoch 10, Batch    689, Loss  0.854860, Average Loss  0.868367, Time  0.264327
2021-09-16 19:24:23.894936 : Epoch  8, Batch   1601, Loss  0.829236, Average Loss  0.868896, Time  0.238152
2021-09-16 19:24:26.463325 : Epoch  8, Batch   1602, Loss  0.874051, Average Loss  0.868838, Time  0.237604
2021-09-16 19:24:26.826570 : Epoch 10, Batch    690, Loss  0.869091, Average Loss  0.868363, Time  0.271890
2021-09-16 19:24:29.030121 : Epoch  8, Batch   1603, Loss  0.859678, Average Loss  0.868823, Time  0.237800
2021-09-16 19:24:29.764612 : Epoch 10, Batch    691, Loss  0.863203, Average Loss  0.868374, Time  0.263422
2021-09-16 19:24:31.596054 : Epoch  8, Batch   1604, Loss  0.895230, Average Loss  0.869049, Time  0.237607
2021-09-16 19:24:32.750838 : Epoch 10, Batch    692, Loss  0.868469, Average Loss  0.868405, Time  0.265004
2021-09-16 19:24:34.167117 : Epoch  8, Batch   1605, Loss  0.870956, Average Loss  0.869044, Time  0.238002
2021-09-16 19:24:35.716116 : Epoch 10, Batch    693, Loss  0.864811, Average Loss  0.868342, Time  0.265107
2021-09-16 19:24:36.732923 : Epoch  8, Batch   1606, Loss  0.871059, Average Loss  0.869101, Time  0.237615
2021-09-16 19:24:38.720809 : Epoch 10, Batch    694, Loss  0.882635, Average Loss  0.868299, Time  0.263632
2021-09-16 19:24:39.314707 : Epoch  8, Batch   1607, Loss  0.877920, Average Loss  0.869080, Time  0.237971
2021-09-16 19:24:41.714990 : Epoch 10, Batch    695, Loss  0.869732, Average Loss  0.868354, Time  0.265400
2021-09-16 19:24:41.887706 : Epoch  8, Batch   1608, Loss  0.856494, Average Loss  0.868942, Time  0.237632
2021-09-16 19:24:44.684826 : Epoch 10, Batch    696, Loss  0.876131, Average Loss  0.868385, Time  0.264218
2021-09-16 19:28:37.018679 : CheckPoint: Validation Loss  0.00030188, Best Loss  0.00029207
2021-09-16 19:28:39.604689 : Epoch  8, Batch   1609, Loss  0.846866, Average Loss  0.868712, Time  0.265831
2021-09-16 19:28:42.163907 : Epoch  8, Batch   1610, Loss  0.884626, Average Loss  0.868827, Time  0.239391
2021-09-16 19:28:44.716102 : Epoch  8, Batch   1611, Loss  0.866070, Average Loss  0.868840, Time  0.238219
2021-09-16 19:28:47.288042 : Epoch  8, Batch   1612, Loss  0.881679, Average Loss  0.868979, Time  0.237471
2021-09-16 19:28:49.844081 : Epoch  8, Batch   1613, Loss  0.880453, Average Loss  0.869055, Time  0.237533
2021-09-16 19:28:52.409483 : Epoch  8, Batch   1614, Loss  0.865039, Average Loss  0.869159, Time  0.237557
2021-09-16 19:28:54.961187 : Epoch  8, Batch   1615, Loss  0.879043, Average Loss  0.869156, Time  0.237593
2021-09-16 19:28:57.517915 : Epoch  8, Batch   1616, Loss  0.886644, Average Loss  0.869273, Time  0.237519
2021-09-16 19:29:00.078851 : Epoch  8, Batch   1617, Loss  0.864216, Average Loss  0.869261, Time  0.237566
2021-09-16 19:29:02.636918 : Epoch  8, Batch   1618, Loss  0.876318, Average Loss  0.869197, Time  0.237794
2021-09-16 19:29:05.191790 : Epoch  8, Batch   1619, Loss  0.852130, Average Loss  0.869169, Time  0.237720
2021-09-16 19:29:07.752879 : Epoch  8, Batch   1620, Loss  0.841684, Average Loss  0.869017, Time  0.237619
2021-09-16 19:29:10.312773 : Epoch  8, Batch   1621, Loss  0.897189, Average Loss  0.869141, Time  0.237605
2021-09-16 19:29:12.868919 : Epoch  8, Batch   1622, Loss  0.869950, Average Loss  0.869211, Time  0.237666
2021-09-16 19:29:15.423751 : Epoch  8, Batch   1623, Loss  0.888893, Average Loss  0.869343, Time  0.237788
2021-09-16 19:29:18.003830 : Epoch  8, Batch   1624, Loss  0.858538, Average Loss  0.869321, Time  0.237372
2021-09-16 19:29:20.288706 : CheckPoint: Validation Loss  0.00029932, Best Loss  0.00029014
2021-09-16 19:29:20.557967 : Epoch  8, Batch   1625, Loss  0.859176, Average Loss  0.869288, Time  0.237504
2021-09-16 19:29:23.104826 : Epoch  8, Batch   1626, Loss  0.891217, Average Loss  0.869326, Time  0.237777
2021-09-16 19:29:23.253229 : Epoch 10, Batch    697, Loss  0.862744, Average Loss  0.868503, Time  0.263947
2021-09-16 19:29:25.674029 : Epoch  8, Batch   1627, Loss  0.882142, Average Loss  0.869400, Time  0.238291
2021-09-16 19:29:26.218202 : Epoch 10, Batch    698, Loss  0.853182, Average Loss  0.868425, Time  0.263663
2021-09-16 19:29:28.243652 : Epoch  8, Batch   1628, Loss  0.863443, Average Loss  0.869462, Time  0.237676
2021-09-16 19:29:29.173004 : Epoch 10, Batch    699, Loss  0.880229, Average Loss  0.868496, Time  0.264176
2021-09-16 19:29:30.796865 : Epoch  8, Batch   1629, Loss  0.860726, Average Loss  0.869378, Time  0.237363
2021-09-16 19:29:32.142163 : Epoch 10, Batch    700, Loss  0.859998, Average Loss  0.868470, Time  0.265665
2021-09-16 19:29:33.347128 : Epoch  8, Batch   1630, Loss  0.863065, Average Loss  0.869389, Time  0.237677
2021-09-16 19:29:35.109407 : Epoch 10, Batch    701, Loss  0.877197, Average Loss  0.868541, Time  0.264291
2021-09-16 19:29:35.926022 : Epoch  8, Batch   1631, Loss  0.867284, Average Loss  0.869419, Time  0.237567
2021-09-16 19:29:38.112634 : Epoch 10, Batch    702, Loss  0.875737, Average Loss  0.868599, Time  0.264385
2021-09-16 19:29:38.473149 : Epoch  8, Batch   1632, Loss  0.847247, Average Loss  0.869269, Time  0.237467
2021-09-16 19:29:41.017017 : Epoch  8, Batch   1633, Loss  0.870700, Average Loss  0.869223, Time  0.237475
2021-09-16 19:29:41.111146 : Epoch 10, Batch    703, Loss  0.867498, Average Loss  0.868584, Time  0.265393
2021-09-16 19:29:43.576086 : Epoch  8, Batch   1634, Loss  0.870830, Average Loss  0.869293, Time  0.237768
2021-09-16 19:29:44.179754 : Epoch 10, Batch    704, Loss  0.865748, Average Loss  0.868639, Time  0.265392
2021-09-16 19:29:46.138874 : Epoch  8, Batch   1635, Loss  0.848607, Average Loss  0.869396, Time  0.237379
2021-09-16 19:29:47.244990 : Epoch 10, Batch    705, Loss  0.869105, Average Loss  0.868663, Time  0.264251
2021-09-16 19:29:48.691823 : Epoch  8, Batch   1636, Loss  0.877873, Average Loss  0.869464, Time  0.237442
2021-09-16 19:29:50.264802 : Epoch 10, Batch    706, Loss  0.878293, Average Loss  0.868731, Time  0.264629
2021-09-16 19:29:51.244696 : Epoch  8, Batch   1637, Loss  0.868170, Average Loss  0.869410, Time  0.237520
2021-09-16 19:29:53.256119 : Epoch 10, Batch    707, Loss  0.865290, Average Loss  0.868666, Time  0.264517
2021-09-16 19:29:53.800680 : Epoch  8, Batch   1638, Loss  0.892257, Average Loss  0.869508, Time  0.237537
2021-09-16 19:29:56.210740 : Epoch 10, Batch    708, Loss  0.850112, Average Loss  0.868613, Time  0.271748
2021-09-16 19:29:56.383764 : Epoch  8, Batch   1639, Loss  0.865748, Average Loss  0.869499, Time  0.237541
2021-09-16 19:29:58.922528 : Epoch  8, Batch   1640, Loss  0.855996, Average Loss  0.869411, Time  0.238109
2021-09-16 19:29:59.215475 : Epoch 10, Batch    709, Loss  0.871350, Average Loss  0.868602, Time  0.264747
2021-09-16 19:30:01.474254 : Epoch  8, Batch   1641, Loss  0.887163, Average Loss  0.869482, Time  0.238124
2021-09-16 19:30:02.172568 : Epoch 10, Batch    710, Loss  0.847876, Average Loss  0.868398, Time  0.264062
2021-09-16 19:30:04.035906 : Epoch  8, Batch   1642, Loss  0.880162, Average Loss  0.869529, Time  0.238580
2021-09-16 19:30:05.131783 : Epoch 10, Batch    711, Loss  0.871179, Average Loss  0.868398, Time  0.263739
2021-09-16 19:30:06.589788 : Epoch  8, Batch   1643, Loss  0.870024, Average Loss  0.869442, Time  0.237656
2021-09-16 19:30:08.123648 : Epoch 10, Batch    712, Loss  0.869028, Average Loss  0.868388, Time  0.263806
2021-09-16 19:30:09.140889 : Epoch  8, Batch   1644, Loss  0.864409, Average Loss  0.869359, Time  0.237513
2021-09-16 19:30:11.080525 : Epoch 10, Batch    713, Loss  0.883618, Average Loss  0.868477, Time  0.264233
2021-09-16 19:30:11.701099 : Epoch  8, Batch   1645, Loss  0.866617, Average Loss  0.869334, Time  0.237935
2021-09-16 19:30:14.038906 : Epoch 10, Batch    714, Loss  0.865910, Average Loss  0.868453, Time  0.263743
2021-09-16 19:30:14.254909 : Epoch  8, Batch   1646, Loss  0.846174, Average Loss  0.869203, Time  0.237408
2021-09-16 19:30:16.792059 : Epoch  8, Batch   1647, Loss  0.874021, Average Loss  0.869061, Time  0.237349
2021-09-16 19:30:17.014196 : Epoch 10, Batch    715, Loss  0.857089, Average Loss  0.868388, Time  0.263971
2021-09-16 19:30:19.345694 : Epoch  8, Batch   1648, Loss  0.866542, Average Loss  0.869116, Time  0.237714
2021-09-16 19:30:19.972658 : Epoch 10, Batch    716, Loss  0.869625, Average Loss  0.868410, Time  0.263703
2021-09-16 19:30:21.908168 : Epoch  8, Batch   1649, Loss  0.873941, Average Loss  0.869216, Time  0.237815
2021-09-16 19:30:22.955652 : Epoch 10, Batch    717, Loss  0.857750, Average Loss  0.868282, Time  0.264483
2021-09-16 19:30:24.466734 : Epoch  8, Batch   1650, Loss  0.850758, Average Loss  0.869247, Time  0.237535
2021-09-16 19:30:25.943917 : Epoch 10, Batch    718, Loss  0.880766, Average Loss  0.868200, Time  0.264305
2021-09-16 19:30:27.031163 : Epoch  8, Batch   1651, Loss  0.872641, Average Loss  0.869245, Time  0.237680
2021-09-16 19:30:28.903648 : Epoch 10, Batch    719, Loss  0.874980, Average Loss  0.868214, Time  0.265800
2021-09-16 19:30:29.584890 : Epoch  8, Batch   1652, Loss  0.859100, Average Loss  0.869249, Time  0.237726
2021-09-16 19:30:31.864109 : Epoch 10, Batch    720, Loss  0.879323, Average Loss  0.868267, Time  0.263965
2021-09-16 19:30:32.140671 : Epoch  8, Batch   1653, Loss  0.876130, Average Loss  0.869323, Time  0.238052
2021-09-16 19:30:34.679068 : Epoch  8, Batch   1654, Loss  0.868228, Average Loss  0.869345, Time  0.237889
2021-09-16 19:30:34.839416 : Epoch 10, Batch    721, Loss  0.888965, Average Loss  0.868451, Time  0.265176
2021-09-16 19:30:37.224259 : Epoch  8, Batch   1655, Loss  0.862628, Average Loss  0.869314, Time  0.237877
2021-09-16 19:30:37.796967 : Epoch 10, Batch    722, Loss  0.880978, Average Loss  0.868402, Time  0.264724
2021-09-16 19:30:39.785695 : Epoch  8, Batch   1656, Loss  0.862926, Average Loss  0.869378, Time  0.238317
2021-09-16 19:30:40.769020 : Epoch 10, Batch    723, Loss  0.859872, Average Loss  0.868452, Time  0.265599
2021-09-16 19:30:42.336945 : Epoch  8, Batch   1657, Loss  0.865356, Average Loss  0.869243, Time  0.237460
2021-09-16 19:30:43.771909 : Epoch 10, Batch    724, Loss  0.856645, Average Loss  0.868443, Time  0.276521
2021-09-16 19:30:44.897878 : Epoch  8, Batch   1658, Loss  0.889270, Average Loss  0.869300, Time  0.237945
2021-09-16 19:30:46.750410 : Epoch 10, Batch    725, Loss  0.851320, Average Loss  0.868419, Time  0.265796
2021-09-16 19:30:47.448812 : Epoch  8, Batch   1659, Loss  0.880086, Average Loss  0.869237, Time  0.237627
2021-09-16 19:30:49.754510 : Epoch 10, Batch    726, Loss  0.868203, Average Loss  0.868392, Time  0.264331
2021-09-16 19:30:50.000671 : Epoch  8, Batch   1660, Loss  0.849705, Average Loss  0.869212, Time  0.237767
2021-09-16 19:30:52.556841 : Epoch  8, Batch   1661, Loss  0.865252, Average Loss  0.869156, Time  0.237903
2021-09-16 19:30:52.751441 : Epoch 10, Batch    727, Loss  0.856222, Average Loss  0.868249, Time  0.264950
2021-09-16 19:30:55.113864 : Epoch  8, Batch   1662, Loss  0.866172, Average Loss  0.869209, Time  0.237920
2021-09-16 19:30:55.733713 : Epoch 10, Batch    728, Loss  0.881850, Average Loss  0.868328, Time  0.265010
2021-09-16 19:30:57.677837 : Epoch  8, Batch   1663, Loss  0.875353, Average Loss  0.869207, Time  0.237484
2021-09-16 19:30:58.693843 : Epoch 10, Batch    729, Loss  0.868813, Average Loss  0.868497, Time  0.264378
2021-09-16 19:31:00.230808 : Epoch  8, Batch   1664, Loss  0.888068, Average Loss  0.869275, Time  0.237466
2021-09-16 19:31:01.701723 : Epoch 10, Batch    730, Loss  0.850899, Average Loss  0.868426, Time  0.263666
2021-09-16 19:31:02.800036 : Epoch  8, Batch   1665, Loss  0.862798, Average Loss  0.869245, Time  0.237510
2021-09-16 19:31:04.670312 : Epoch 10, Batch    731, Loss  0.861702, Average Loss  0.868453, Time  0.264424
2021-09-16 19:31:05.347907 : Epoch  8, Batch   1666, Loss  0.873351, Average Loss  0.869278, Time  0.237879
2021-09-16 19:31:07.659030 : Epoch 10, Batch    732, Loss  0.878183, Average Loss  0.868438, Time  0.264513
2021-09-16 19:31:07.899050 : Epoch  8, Batch   1667, Loss  0.871200, Average Loss  0.869254, Time  0.237688
2021-09-16 19:31:10.437889 : Epoch  8, Batch   1668, Loss  0.851608, Average Loss  0.869140, Time  0.238316
2021-09-16 19:31:10.669686 : Epoch 10, Batch    733, Loss  0.863307, Average Loss  0.868390, Time  0.264716
2021-09-16 19:31:12.987590 : Epoch  8, Batch   1669, Loss  0.861813, Average Loss  0.869147, Time  0.238402
2021-09-16 19:31:13.670526 : Epoch 10, Batch    734, Loss  0.848777, Average Loss  0.868182, Time  0.264625
2021-09-16 19:31:15.561805 : Epoch  8, Batch   1670, Loss  0.843495, Average Loss  0.869022, Time  0.238006
2021-09-16 19:31:16.662759 : Epoch 10, Batch    735, Loss  0.876388, Average Loss  0.868245, Time  0.264416
2021-09-16 19:31:18.120786 : Epoch  8, Batch   1671, Loss  0.870790, Average Loss  0.868953, Time  0.237561
2021-09-16 19:31:19.635724 : Epoch 10, Batch    736, Loss  0.880870, Average Loss  0.868418, Time  0.264041
2021-09-16 19:31:20.681897 : Epoch  8, Batch   1672, Loss  0.853932, Average Loss  0.868861, Time  0.237826
2021-09-16 19:31:22.622428 : Epoch 10, Batch    737, Loss  0.869139, Average Loss  0.868398, Time  0.263956
2021-09-16 19:31:23.241707 : Epoch  8, Batch   1673, Loss  0.869654, Average Loss  0.868885, Time  0.237406
2021-09-16 19:31:25.586029 : Epoch 10, Batch    738, Loss  0.868187, Average Loss  0.868384, Time  0.264978
2021-09-16 19:31:25.799891 : Epoch  8, Batch   1674, Loss  0.881447, Average Loss  0.869042, Time  0.238237
2021-09-16 19:31:28.334052 : Epoch  8, Batch   1675, Loss  0.872228, Average Loss  0.869086, Time  0.237343
2021-09-16 19:31:28.582261 : Epoch 10, Batch    739, Loss  0.866920, Average Loss  0.868390, Time  0.275222
2021-09-16 19:31:30.889880 : Epoch  8, Batch   1676, Loss  0.875381, Average Loss  0.869093, Time  0.237779
2021-09-16 19:31:31.555390 : Epoch 10, Batch    740, Loss  0.849121, Average Loss  0.868346, Time  0.264133
2021-09-16 19:31:33.447696 : Epoch  8, Batch   1677, Loss  0.869298, Average Loss  0.869063, Time  0.237313
2021-09-16 19:31:34.518633 : Epoch 10, Batch    741, Loss  0.848912, Average Loss  0.868218, Time  0.263842
2021-09-16 19:31:35.995707 : Epoch  8, Batch   1678, Loss  0.865827, Average Loss  0.869057, Time  0.237795
2021-09-16 19:31:37.481289 : Epoch 10, Batch    742, Loss  0.844878, Average Loss  0.868189, Time  0.265257
2021-09-16 19:31:38.551923 : Epoch  8, Batch   1679, Loss  0.855600, Average Loss  0.869071, Time  0.237423
2021-09-16 19:31:40.466941 : Epoch 10, Batch    743, Loss  0.856811, Average Loss  0.868135, Time  0.264153
2021-09-16 19:31:41.102773 : Epoch  8, Batch   1680, Loss  0.867273, Average Loss  0.869054, Time  0.237681
2021-09-16 19:31:43.461372 : Epoch 10, Batch    744, Loss  0.863586, Average Loss  0.868049, Time  0.264741
2021-09-16 19:31:43.663043 : Epoch  8, Batch   1681, Loss  0.856228, Average Loss  0.868981, Time  0.237665
2021-09-16 19:31:46.204775 : Epoch  8, Batch   1682, Loss  0.864899, Average Loss  0.868987, Time  0.238030
2021-09-16 19:31:46.457759 : Epoch 10, Batch    745, Loss  0.869077, Average Loss  0.867981, Time  0.263717
2021-09-16 19:31:48.764089 : Epoch  8, Batch   1683, Loss  0.869601, Average Loss  0.868996, Time  0.237284
2021-09-16 19:31:49.422485 : Epoch 10, Batch    746, Loss  0.863785, Average Loss  0.867946, Time  0.265232
2021-09-16 19:31:51.319888 : Epoch  8, Batch   1684, Loss  0.860759, Average Loss  0.869039, Time  0.237563
2021-09-16 19:31:52.425243 : Epoch 10, Batch    747, Loss  0.878865, Average Loss  0.868068, Time  0.264264
2021-09-16 19:31:53.894032 : Epoch  8, Batch   1685, Loss  0.875054, Average Loss  0.869000, Time  0.237441
2021-09-16 19:31:55.400838 : Epoch 10, Batch    748, Loss  0.871815, Average Loss  0.867988, Time  0.263646
2021-09-16 19:31:56.452855 : Epoch  8, Batch   1686, Loss  0.845866, Average Loss  0.868847, Time  0.237471
2021-09-16 19:31:58.383392 : Epoch 10, Batch    749, Loss  0.852224, Average Loss  0.867993, Time  0.264659
2021-09-16 19:31:59.003935 : Epoch  8, Batch   1687, Loss  0.889538, Average Loss  0.868991, Time  0.237366
2021-09-16 19:32:01.347172 : Epoch 10, Batch    750, Loss  0.866749, Average Loss  0.867913, Time  0.264573
2021-09-16 19:32:01.564659 : Epoch  8, Batch   1688, Loss  0.890530, Average Loss  0.869136, Time  0.238502
2021-09-16 19:32:04.106842 : Epoch  8, Batch   1689, Loss  0.883298, Average Loss  0.869143, Time  0.237302
2021-09-16 19:32:04.315042 : Epoch 10, Batch    751, Loss  0.850081, Average Loss  0.867762, Time  0.264509
2021-09-16 19:32:06.677904 : Epoch  8, Batch   1690, Loss  0.858187, Average Loss  0.869042, Time  0.237854
2021-09-16 19:32:07.295448 : Epoch 10, Batch    752, Loss  0.848643, Average Loss  0.867639, Time  0.263992
2021-09-16 19:32:09.225895 : Epoch  8, Batch   1691, Loss  0.873948, Average Loss  0.868968, Time  0.237246
2021-09-16 19:32:10.256656 : Epoch 10, Batch    753, Loss  0.872064, Average Loss  0.867682, Time  0.264281
2021-09-16 19:32:11.782945 : Epoch  8, Batch   1692, Loss  0.852902, Average Loss  0.868879, Time  0.237210
2021-09-16 19:32:13.260127 : Epoch 10, Batch    754, Loss  0.887252, Average Loss  0.867693, Time  0.270709
2021-09-16 19:32:14.344005 : Epoch  8, Batch   1693, Loss  0.855905, Average Loss  0.868793, Time  0.237652
2021-09-16 19:32:16.233081 : Epoch 10, Batch    755, Loss  0.862220, Average Loss  0.867694, Time  0.264999
2021-09-16 19:32:16.905688 : Epoch  8, Batch   1694, Loss  0.846122, Average Loss  0.868669, Time  0.237697
2021-09-16 19:32:19.230108 : Epoch 10, Batch    756, Loss  0.836804, Average Loss  0.867518, Time  0.264428
2021-09-16 19:32:19.462142 : Epoch  8, Batch   1695, Loss  0.859437, Average Loss  0.868634, Time  0.237814
2021-09-16 19:32:22.005844 : Epoch  8, Batch   1696, Loss  0.870383, Average Loss  0.868623, Time  0.237594
2021-09-16 19:32:22.202410 : Epoch 10, Batch    757, Loss  0.861738, Average Loss  0.867567, Time  0.263917
2021-09-16 19:32:24.566226 : Epoch  8, Batch   1697, Loss  0.871719, Average Loss  0.868589, Time  0.237847
2021-09-16 19:32:25.158538 : Epoch 10, Batch    758, Loss  0.859803, Average Loss  0.867554, Time  0.264288
2021-09-16 19:32:27.130978 : Epoch  8, Batch   1698, Loss  0.849161, Average Loss  0.868575, Time  0.237713
2021-09-16 19:32:28.139146 : Epoch 10, Batch    759, Loss  0.854073, Average Loss  0.867601, Time  0.265252
2021-09-16 19:32:29.683871 : Epoch  8, Batch   1699, Loss  0.883210, Average Loss  0.868617, Time  0.237668
2021-09-16 19:32:31.100075 : Epoch 10, Batch    760, Loss  0.877291, Average Loss  0.867665, Time  0.264117
2021-09-16 19:32:32.240913 : Epoch  8, Batch   1700, Loss  0.843320, Average Loss  0.868411, Time  0.237699
2021-09-16 19:32:34.072437 : Epoch 10, Batch    761, Loss  0.873205, Average Loss  0.867713, Time  0.264555
2021-09-16 19:32:34.794906 : Epoch  8, Batch   1701, Loss  0.858825, Average Loss  0.868428, Time  0.237850
2021-09-16 19:32:37.032374 : Epoch 10, Batch    762, Loss  0.863784, Average Loss  0.867729, Time  0.263916
2021-09-16 19:32:37.342780 : Epoch  8, Batch   1702, Loss  0.888529, Average Loss  0.868597, Time  0.237742
2021-09-16 19:32:39.895810 : Epoch  8, Batch   1703, Loss  0.885308, Average Loss  0.868710, Time  0.238412
2021-09-16 19:32:40.028110 : Epoch 10, Batch    763, Loss  0.872307, Average Loss  0.867842, Time  0.264546
2021-09-16 19:32:42.448928 : Epoch  8, Batch   1704, Loss  0.870301, Average Loss  0.868720, Time  0.237320
2021-09-16 19:32:42.999457 : Epoch 10, Batch    764, Loss  0.886179, Average Loss  0.867823, Time  0.264673
2021-09-16 19:32:44.991121 : Epoch  8, Batch   1705, Loss  0.868454, Average Loss  0.868709, Time  0.237708
2021-09-16 19:32:45.989343 : Epoch 10, Batch    765, Loss  0.869125, Average Loss  0.867835, Time  0.264219
2021-09-16 19:32:47.540659 : Epoch  8, Batch   1706, Loss  0.852202, Average Loss  0.868702, Time  0.237398
2021-09-16 19:32:48.987068 : Epoch 10, Batch    766, Loss  0.891828, Average Loss  0.867977, Time  0.264763
2021-09-16 19:32:50.098912 : Epoch  8, Batch   1707, Loss  0.859829, Average Loss  0.868763, Time  0.237640
2021-09-16 19:32:51.954091 : Epoch 10, Batch    767, Loss  0.854246, Average Loss  0.867888, Time  0.265911
2021-09-16 19:32:52.667844 : Epoch  8, Batch   1708, Loss  0.860065, Average Loss  0.868760, Time  0.237569
2021-09-16 19:32:54.930102 : Epoch 10, Batch    768, Loss  0.866728, Average Loss  0.867806, Time  0.264937
2021-09-16 19:32:57.919007 : Epoch 10, Batch    769, Loss  0.866876, Average Loss  0.867759, Time  0.264638
2021-09-16 19:33:00.904784 : Epoch 10, Batch    770, Loss  0.874641, Average Loss  0.867837, Time  0.271988
2021-09-16 19:33:03.868783 : Epoch 10, Batch    771, Loss  0.867852, Average Loss  0.867675, Time  0.263874
2021-09-16 19:33:06.851767 : Epoch 10, Batch    772, Loss  0.884371, Average Loss  0.867831, Time  0.265134
2021-09-16 19:33:09.840018 : Epoch 10, Batch    773, Loss  0.879933, Average Loss  0.867770, Time  0.264246
2021-09-16 19:33:12.795270 : Epoch 10, Batch    774, Loss  0.860037, Average Loss  0.867735, Time  0.264327
2021-09-16 19:33:15.761776 : Epoch 10, Batch    775, Loss  0.866440, Average Loss  0.867661, Time  0.263969
2021-09-16 19:33:18.768836 : Epoch 10, Batch    776, Loss  0.877634, Average Loss  0.867648, Time  0.266037
2021-09-16 19:33:21.741182 : Epoch 10, Batch    777, Loss  0.862583, Average Loss  0.867693, Time  0.264117
2021-09-16 19:33:24.721973 : Epoch 10, Batch    778, Loss  0.869295, Average Loss  0.867720, Time  0.264035
2021-09-16 19:33:27.719872 : Epoch 10, Batch    779, Loss  0.877074, Average Loss  0.867657, Time  0.264916
2021-09-16 19:33:30.687658 : Epoch 10, Batch    780, Loss  0.879572, Average Loss  0.867737, Time  0.264700
2021-09-16 19:33:33.655384 : Epoch 10, Batch    781, Loss  0.869564, Average Loss  0.867854, Time  0.263674
2021-09-16 19:33:36.624614 : Epoch 10, Batch    782, Loss  0.871507, Average Loss  0.867771, Time  0.264164
2021-09-16 19:33:39.609642 : Epoch 10, Batch    783, Loss  0.851674, Average Loss  0.867661, Time  0.263714
2021-09-16 19:33:42.572954 : Epoch 10, Batch    784, Loss  0.856858, Average Loss  0.867552, Time  0.264575
2021-09-16 19:33:45.561574 : Epoch 10, Batch    785, Loss  0.854322, Average Loss  0.867522, Time  0.278125
2021-09-16 19:33:48.557081 : Epoch 10, Batch    786, Loss  0.875926, Average Loss  0.867612, Time  0.264608
2021-09-16 19:33:51.519557 : Epoch 10, Batch    787, Loss  0.877255, Average Loss  0.867649, Time  0.265849
2021-09-16 19:33:54.489314 : Epoch 10, Batch    788, Loss  0.884229, Average Loss  0.867639, Time  0.264678
2021-09-16 19:33:57.452675 : Epoch 10, Batch    789, Loss  0.865241, Average Loss  0.867622, Time  0.265008
2021-09-16 19:34:00.476950 : Epoch 10, Batch    790, Loss  0.877218, Average Loss  0.867556, Time  0.264147
2021-09-16 19:34:03.455556 : Epoch 10, Batch    791, Loss  0.865067, Average Loss  0.867615, Time  0.264244
2021-09-16 19:34:06.432251 : Epoch 10, Batch    792, Loss  0.883498, Average Loss  0.867714, Time  0.264576
2021-09-16 19:34:09.400014 : Epoch 10, Batch    793, Loss  0.860676, Average Loss  0.867677, Time  0.263781
2021-09-16 19:34:12.367465 : Epoch 10, Batch    794, Loss  0.862999, Average Loss  0.867614, Time  0.264983
2021-09-16 19:34:15.372904 : Epoch 10, Batch    795, Loss  0.862500, Average Loss  0.867583, Time  0.265213
2021-09-16 19:34:18.381024 : Epoch 10, Batch    796, Loss  0.881442, Average Loss  0.867576, Time  0.265059
2021-09-16 19:36:47.655851 : CheckPoint: Validation Loss  0.00030583, Best Loss  0.00029207
2021-09-16 19:36:50.238850 : Epoch  8, Batch   1709, Loss  0.873199, Average Loss  0.868690, Time  0.269951
2021-09-16 19:36:52.802860 : Epoch  8, Batch   1710, Loss  0.862127, Average Loss  0.868603, Time  0.250727
2021-09-16 19:36:55.357745 : Epoch  8, Batch   1711, Loss  0.877843, Average Loss  0.868616, Time  0.237343
2021-09-16 19:36:57.908851 : Epoch  8, Batch   1712, Loss  0.879055, Average Loss  0.868790, Time  0.237800
2021-09-16 19:37:00.467801 : Epoch  8, Batch   1713, Loss  0.874042, Average Loss  0.868897, Time  0.237488
2021-09-16 19:37:03.022120 : Epoch  8, Batch   1714, Loss  0.874305, Average Loss  0.868944, Time  0.238279
2021-09-16 19:37:05.618872 : Epoch  8, Batch   1715, Loss  0.855696, Average Loss  0.868874, Time  0.237612
2021-09-16 19:37:08.173912 : Epoch  8, Batch   1716, Loss  0.888195, Average Loss  0.868936, Time  0.237333
2021-09-16 19:37:10.734674 : Epoch  8, Batch   1717, Loss  0.849278, Average Loss  0.868853, Time  0.237689
2021-09-16 19:37:13.308932 : Epoch  8, Batch   1718, Loss  0.876172, Average Loss  0.868965, Time  0.237509
2021-09-16 19:37:15.849165 : Epoch  8, Batch   1719, Loss  0.852760, Average Loss  0.869033, Time  0.237446
2021-09-16 19:37:18.425704 : Epoch  8, Batch   1720, Loss  0.855004, Average Loss  0.868881, Time  0.237681
2021-09-16 19:37:20.977888 : Epoch  8, Batch   1721, Loss  0.853995, Average Loss  0.868715, Time  0.237564
2021-09-16 19:37:23.523416 : Epoch  8, Batch   1722, Loss  0.875825, Average Loss  0.868649, Time  0.237574
2021-09-16 19:37:26.080695 : Epoch  8, Batch   1723, Loss  0.842045, Average Loss  0.868570, Time  0.237864
2021-09-16 19:37:28.624845 : Epoch  8, Batch   1724, Loss  0.863627, Average Loss  0.868490, Time  0.237403
2021-09-16 19:37:31.200975 : Epoch  8, Batch   1725, Loss  0.860270, Average Loss  0.868380, Time  0.237602
2021-09-16 19:37:33.803709 : Epoch  8, Batch   1726, Loss  0.865429, Average Loss  0.868357, Time  0.237487
2021-09-16 19:37:36.350139 : Epoch  8, Batch   1727, Loss  0.864400, Average Loss  0.868322, Time  0.237750
2021-09-16 19:37:38.903819 : Epoch  8, Batch   1728, Loss  0.869937, Average Loss  0.868281, Time  0.237572
2021-09-16 19:37:41.471861 : Epoch  8, Batch   1729, Loss  0.878766, Average Loss  0.868325, Time  0.237782
2021-09-16 19:37:44.042742 : Epoch  8, Batch   1730, Loss  0.852832, Average Loss  0.868256, Time  0.237613
2021-09-16 19:37:46.600924 : Epoch  8, Batch   1731, Loss  0.872803, Average Loss  0.868168, Time  0.237330
2021-09-16 19:37:49.157673 : Epoch  8, Batch   1732, Loss  0.874055, Average Loss  0.868166, Time  0.237659
2021-09-16 19:37:51.729038 : Epoch  8, Batch   1733, Loss  0.867675, Average Loss  0.868190, Time  0.238044
2021-09-16 19:37:54.298867 : Epoch  8, Batch   1734, Loss  0.863249, Average Loss  0.868123, Time  0.237679
2021-09-16 19:37:56.890844 : Epoch  8, Batch   1735, Loss  0.883611, Average Loss  0.868205, Time  0.237655
2021-09-16 19:37:59.448846 : Epoch  8, Batch   1736, Loss  0.865281, Average Loss  0.867985, Time  0.237873
2021-09-16 19:38:02.020015 : Epoch  8, Batch   1737, Loss  0.880702, Average Loss  0.868082, Time  0.237472
2021-09-16 19:38:04.601902 : Epoch  8, Batch   1738, Loss  0.884080, Average Loss  0.868142, Time  0.238445
2021-09-16 19:38:07.164931 : Epoch  8, Batch   1739, Loss  0.860283, Average Loss  0.868115, Time  0.237470
2021-09-16 19:38:09.725956 : Epoch  8, Batch   1740, Loss  0.866537, Average Loss  0.868033, Time  0.237693
2021-09-16 19:38:12.278689 : Epoch  8, Batch   1741, Loss  0.869785, Average Loss  0.868033, Time  0.237491
2021-09-16 19:38:14.835688 : Epoch  8, Batch   1742, Loss  0.890911, Average Loss  0.868109, Time  0.238210
2021-09-16 19:38:17.387822 : Epoch  8, Batch   1743, Loss  0.865541, Average Loss  0.868096, Time  0.237541
2021-09-16 19:38:19.961684 : Epoch  8, Batch   1744, Loss  0.849861, Average Loss  0.867992, Time  0.238340
2021-09-16 19:38:22.519907 : Epoch  8, Batch   1745, Loss  0.859101, Average Loss  0.867900, Time  0.237401
2021-09-16 19:38:25.095905 : Epoch  8, Batch   1746, Loss  0.878253, Average Loss  0.867880, Time  0.237333
2021-09-16 19:38:27.651678 : Epoch  8, Batch   1747, Loss  0.868302, Average Loss  0.867858, Time  0.238539
2021-09-16 19:38:30.225847 : Epoch  8, Batch   1748, Loss  0.857923, Average Loss  0.867764, Time  0.237436
2021-09-16 19:38:32.772925 : Epoch  8, Batch   1749, Loss  0.865510, Average Loss  0.867735, Time  0.237656
2021-09-16 19:38:35.349762 : Epoch  8, Batch   1750, Loss  0.875625, Average Loss  0.867675, Time  0.237763
2021-09-16 19:38:37.913203 : Epoch  8, Batch   1751, Loss  0.869740, Average Loss  0.867673, Time  0.238000
2021-09-16 19:38:40.486063 : Epoch  8, Batch   1752, Loss  0.870127, Average Loss  0.867625, Time  0.237544
2021-09-16 19:38:43.061846 : Epoch  8, Batch   1753, Loss  0.881217, Average Loss  0.867796, Time  0.237513
2021-09-16 19:38:45.629824 : Epoch  8, Batch   1754, Loss  0.874359, Average Loss  0.867782, Time  0.237700
2021-09-16 19:38:48.188863 : Epoch  8, Batch   1755, Loss  0.844845, Average Loss  0.867584, Time  0.237615
2021-09-16 19:38:50.762688 : Epoch  8, Batch   1756, Loss  0.846741, Average Loss  0.867386, Time  0.237783
2021-09-16 19:38:53.330919 : Epoch  8, Batch   1757, Loss  0.886674, Average Loss  0.867521, Time  0.237720
2021-09-16 19:38:54.018179 : CheckPoint: Validation Loss  0.00029718, Best Loss  0.00029014
2021-09-16 19:38:55.917641 : Epoch  8, Batch   1758, Loss  0.862836, Average Loss  0.867542, Time  0.237921
2021-09-16 19:38:56.987605 : Epoch 10, Batch    797, Loss  0.873899, Average Loss  0.867666, Time  0.265491
2021-09-16 19:38:58.501665 : Epoch  8, Batch   1759, Loss  0.893145, Average Loss  0.867692, Time  0.237989
2021-09-16 19:38:59.973331 : Epoch 10, Batch    798, Loss  0.874133, Average Loss  0.867769, Time  0.264271
2021-09-16 19:39:01.072033 : Epoch  8, Batch   1760, Loss  0.898483, Average Loss  0.867848, Time  0.237517
2021-09-16 19:39:02.979860 : Epoch 10, Batch    799, Loss  0.855854, Average Loss  0.867675, Time  0.264606
2021-09-16 19:39:03.652020 : Epoch  8, Batch   1761, Loss  0.888003, Average Loss  0.868052, Time  0.238231
2021-09-16 19:39:05.967305 : Epoch 10, Batch    800, Loss  0.880665, Average Loss  0.867606, Time  0.263995
2021-09-16 19:39:06.208884 : Epoch  8, Batch   1762, Loss  0.851416, Average Loss  0.867957, Time  0.237866
2021-09-16 19:39:08.770734 : Epoch  8, Batch   1763, Loss  0.863812, Average Loss  0.868079, Time  0.237292
2021-09-16 19:39:08.952839 : Epoch 10, Batch    801, Loss  0.857361, Average Loss  0.867544, Time  0.263984
2021-09-16 19:39:11.326912 : Epoch  8, Batch   1764, Loss  0.857238, Average Loss  0.868028, Time  0.237565
2021-09-16 19:39:11.912066 : Epoch 10, Batch    802, Loss  0.856470, Average Loss  0.867519, Time  0.264130
2021-09-16 19:39:13.904092 : Epoch  8, Batch   1765, Loss  0.862382, Average Loss  0.868024, Time  0.237333
2021-09-16 19:39:14.918399 : Epoch 10, Batch    803, Loss  0.885782, Average Loss  0.867564, Time  0.270302
2021-09-16 19:39:16.454786 : Epoch  8, Batch   1766, Loss  0.858458, Average Loss  0.867895, Time  0.238145
2021-09-16 19:39:17.881800 : Epoch 10, Batch    804, Loss  0.864423, Average Loss  0.867425, Time  0.264513
2021-09-16 19:39:19.009976 : Epoch  8, Batch   1767, Loss  0.860049, Average Loss  0.867900, Time  0.237627
2021-09-16 19:39:20.865012 : Epoch 10, Batch    805, Loss  0.852873, Average Loss  0.867420, Time  0.264439
2021-09-16 19:39:21.576838 : Epoch  8, Batch   1768, Loss  0.877263, Average Loss  0.867939, Time  0.237483
2021-09-16 19:39:23.842477 : Epoch 10, Batch    806, Loss  0.891995, Average Loss  0.867636, Time  0.265053
2021-09-16 19:39:24.130924 : Epoch  8, Batch   1769, Loss  0.871971, Average Loss  0.867917, Time  0.237847
2021-09-16 19:39:26.692873 : Epoch  8, Batch   1770, Loss  0.861091, Average Loss  0.867809, Time  0.238334
2021-09-16 19:39:26.789179 : Epoch 10, Batch    807, Loss  0.850115, Average Loss  0.867476, Time  0.265032
2021-09-16 19:39:29.252877 : Epoch  8, Batch   1771, Loss  0.864879, Average Loss  0.867760, Time  0.237410
2021-09-16 19:39:29.748889 : Epoch 10, Batch    808, Loss  0.887145, Average Loss  0.867596, Time  0.264371
2021-09-16 19:39:31.845768 : Epoch  8, Batch   1772, Loss  0.865691, Average Loss  0.867831, Time  0.237650
2021-09-16 19:39:32.693725 : Epoch 10, Batch    809, Loss  0.885473, Average Loss  0.867601, Time  0.264147
2021-09-16 19:39:34.398089 : Epoch  8, Batch   1773, Loss  0.855785, Average Loss  0.867857, Time  0.237497
2021-09-16 19:39:35.661809 : Epoch 10, Batch    810, Loss  0.853764, Average Loss  0.867717, Time  0.263720
2021-09-16 19:39:36.977728 : Epoch  8, Batch   1774, Loss  0.873187, Average Loss  0.867876, Time  0.238804
2021-09-16 19:39:38.626951 : Epoch 10, Batch    811, Loss  0.880065, Average Loss  0.867814, Time  0.263640
2021-09-16 19:39:39.542909 : Epoch  8, Batch   1775, Loss  0.857641, Average Loss  0.867801, Time  0.237700
2021-09-16 19:39:41.598258 : Epoch 10, Batch    812, Loss  0.887332, Average Loss  0.867760, Time  0.264482
2021-09-16 19:39:42.114965 : Epoch  8, Batch   1776, Loss  0.864134, Average Loss  0.867688, Time  0.237522
2021-09-16 19:39:44.591632 : Epoch 10, Batch    813, Loss  0.876228, Average Loss  0.867827, Time  0.264653
2021-09-16 19:39:44.657681 : Epoch  8, Batch   1777, Loss  0.853779, Average Loss  0.867583, Time  0.237674
2021-09-16 19:39:47.204683 : Epoch  8, Batch   1778, Loss  0.893949, Average Loss  0.867736, Time  0.237654
2021-09-16 19:39:47.563165 : Epoch 10, Batch    814, Loss  0.875232, Average Loss  0.867902, Time  0.264918
2021-09-16 19:39:49.763864 : Epoch  8, Batch   1779, Loss  0.869422, Average Loss  0.867748, Time  0.238005
2021-09-16 19:39:50.522415 : Epoch 10, Batch    815, Loss  0.870387, Average Loss  0.867864, Time  0.264881
2021-09-16 19:39:52.328912 : Epoch  8, Batch   1780, Loss  0.885157, Average Loss  0.867723, Time  0.237321
2021-09-16 19:39:53.489710 : Epoch 10, Batch    816, Loss  0.863972, Average Loss  0.867913, Time  0.264591
2021-09-16 19:39:54.879879 : Epoch  8, Batch   1781, Loss  0.873420, Average Loss  0.867692, Time  0.237694
2021-09-16 19:39:56.451169 : Epoch 10, Batch    817, Loss  0.841862, Average Loss  0.867787, Time  0.264086
2021-09-16 19:39:57.460980 : Epoch  8, Batch   1782, Loss  0.852896, Average Loss  0.867685, Time  0.237774
2021-09-16 19:39:59.455801 : Epoch 10, Batch    818, Loss  0.878629, Average Loss  0.867769, Time  0.276613
2021-09-16 19:40:00.009871 : Epoch  8, Batch   1783, Loss  0.865247, Average Loss  0.867723, Time  0.237827
2021-09-16 19:40:02.441599 : Epoch 10, Batch    819, Loss  0.855259, Average Loss  0.867627, Time  0.265657
2021-09-16 19:40:02.592820 : Epoch  8, Batch   1784, Loss  0.885546, Average Loss  0.867890, Time  0.237737
2021-09-16 19:40:05.147900 : Epoch  8, Batch   1785, Loss  0.851847, Average Loss  0.867668, Time  0.237919
2021-09-16 19:40:05.432442 : Epoch 10, Batch    820, Loss  0.869782, Average Loss  0.867597, Time  0.265407
2021-09-16 19:40:07.692838 : Epoch  8, Batch   1786, Loss  0.875335, Average Loss  0.867683, Time  0.237876
2021-09-16 19:40:08.405779 : Epoch 10, Batch    821, Loss  0.863302, Average Loss  0.867573, Time  0.265179
2021-09-16 19:40:10.245785 : Epoch  8, Batch   1787, Loss  0.893772, Average Loss  0.867860, Time  0.237761
2021-09-16 19:40:11.436274 : Epoch 10, Batch    822, Loss  0.892603, Average Loss  0.867728, Time  0.264600
2021-09-16 19:40:12.809888 : Epoch  8, Batch   1788, Loss  0.872900, Average Loss  0.867900, Time  0.237792
2021-09-16 19:40:14.468105 : Epoch 10, Batch    823, Loss  0.882985, Average Loss  0.867816, Time  0.263998
2021-09-16 19:40:15.385144 : Epoch  8, Batch   1789, Loss  0.860079, Average Loss  0.867904, Time  0.237619
2021-09-16 19:40:17.445911 : Epoch 10, Batch    824, Loss  0.867568, Average Loss  0.867694, Time  0.265659
2021-09-16 19:40:17.940262 : Epoch  8, Batch   1790, Loss  0.852259, Average Loss  0.867865, Time  0.237877
2021-09-16 19:40:20.407082 : Epoch 10, Batch    825, Loss  0.881248, Average Loss  0.867820, Time  0.263639
2021-09-16 19:40:20.546282 : Epoch  8, Batch   1791, Loss  0.857773, Average Loss  0.867880, Time  0.255138
2021-09-16 19:40:23.182899 : Epoch  8, Batch   1792, Loss  0.883711, Average Loss  0.867875, Time  0.253186
2021-09-16 19:40:23.422007 : Epoch 10, Batch    826, Loss  0.872654, Average Loss  0.867940, Time  0.266413
2021-09-16 19:40:25.775781 : Epoch  8, Batch   1793, Loss  0.872792, Average Loss  0.867962, Time  0.238561
2021-09-16 19:40:26.400858 : Epoch 10, Batch    827, Loss  0.862678, Average Loss  0.867940, Time  0.263981
2021-09-16 19:40:28.379866 : Epoch  8, Batch   1794, Loss  0.876224, Average Loss  0.867989, Time  0.237895
2021-09-16 19:40:29.439048 : Epoch 10, Batch    828, Loss  0.876259, Average Loss  0.868021, Time  0.265493
2021-09-16 19:40:30.939952 : Epoch  8, Batch   1795, Loss  0.859459, Average Loss  0.867912, Time  0.238332
2021-09-16 19:40:32.447560 : Epoch 10, Batch    829, Loss  0.885276, Average Loss  0.868051, Time  0.264544
2021-09-16 19:40:33.501925 : Epoch  8, Batch   1796, Loss  0.865057, Average Loss  0.867865, Time  0.237909
2021-09-16 19:40:35.417858 : Epoch 10, Batch    830, Loss  0.883328, Average Loss  0.868088, Time  0.264023
2021-09-16 19:40:36.066831 : Epoch  8, Batch   1797, Loss  0.864735, Average Loss  0.867924, Time  0.237855
2021-09-16 19:40:38.384245 : Epoch 10, Batch    831, Loss  0.893207, Average Loss  0.868320, Time  0.264791
2021-09-16 19:40:38.667852 : Epoch  8, Batch   1798, Loss  0.869850, Average Loss  0.867953, Time  0.238109
2021-09-16 19:40:41.220142 : Epoch  8, Batch   1799, Loss  0.854217, Average Loss  0.867854, Time  0.238217
2021-09-16 19:40:41.391040 : Epoch 10, Batch    832, Loss  0.858897, Average Loss  0.868144, Time  0.264668
2021-09-16 19:40:43.800358 : Epoch  8, Batch   1800, Loss  0.876515, Average Loss  0.867897, Time  0.237288
2021-09-16 19:40:44.403756 : Epoch 10, Batch    833, Loss  0.866304, Average Loss  0.868218, Time  0.276764
2021-09-16 19:40:46.376687 : Epoch  8, Batch   1801, Loss  0.869015, Average Loss  0.868096, Time  0.237455
2021-09-16 19:40:47.398711 : Epoch 10, Batch    834, Loss  0.879468, Average Loss  0.868212, Time  0.264860
2021-09-16 19:40:48.980135 : Epoch  8, Batch   1802, Loss  0.870766, Average Loss  0.868080, Time  0.238580
2021-09-16 19:40:50.367955 : Epoch 10, Batch    835, Loss  0.893760, Average Loss  0.868344, Time  0.264044
2021-09-16 19:40:51.560854 : Epoch  8, Batch   1803, Loss  0.881140, Average Loss  0.868187, Time  0.237501
2021-09-16 19:40:53.382021 : Epoch 10, Batch    836, Loss  0.868700, Average Loss  0.868353, Time  0.264887
2021-09-16 19:40:54.119028 : Epoch  8, Batch   1804, Loss  0.900075, Average Loss  0.868211, Time  0.238036
2021-09-16 19:40:56.382290 : Epoch 10, Batch    837, Loss  0.850922, Average Loss  0.868247, Time  0.265265
2021-09-16 19:40:56.706932 : Epoch  8, Batch   1805, Loss  0.860857, Average Loss  0.868161, Time  0.237561
2021-09-16 19:40:59.248678 : Epoch  8, Batch   1806, Loss  0.892111, Average Loss  0.868266, Time  0.238353
2021-09-16 19:40:59.348755 : Epoch 10, Batch    838, Loss  0.863329, Average Loss  0.868125, Time  0.264759
2021-09-16 19:41:01.810185 : Epoch  8, Batch   1807, Loss  0.866138, Average Loss  0.868207, Time  0.238592
2021-09-16 19:41:02.324572 : Epoch 10, Batch    839, Loss  0.861211, Average Loss  0.868040, Time  0.264812
2021-09-16 19:41:04.365983 : Epoch  8, Batch   1808, Loss  0.865576, Average Loss  0.868252, Time  0.237881
2021-09-16 19:41:05.313954 : Epoch 10, Batch    840, Loss  0.848353, Average Loss  0.867950, Time  0.264778
2021-09-16 19:41:08.355474 : Epoch 10, Batch    841, Loss  0.877748, Average Loss  0.868051, Time  0.264328
2021-09-16 19:41:11.328233 : Epoch 10, Batch    842, Loss  0.881758, Average Loss  0.868016, Time  0.264845
2021-09-16 19:41:14.342790 : Epoch 10, Batch    843, Loss  0.865199, Average Loss  0.868060, Time  0.265214
2021-09-16 19:41:17.307333 : Epoch 10, Batch    844, Loss  0.878979, Average Loss  0.868242, Time  0.264131
2021-09-16 19:41:20.274374 : Epoch 10, Batch    845, Loss  0.860849, Average Loss  0.868259, Time  0.265022
2021-09-16 19:41:23.244233 : Epoch 10, Batch    846, Loss  0.878032, Average Loss  0.868353, Time  0.263781
2021-09-16 19:41:26.203522 : Epoch 10, Batch    847, Loss  0.863851, Average Loss  0.868274, Time  0.263701
2021-09-16 19:41:29.187882 : Epoch 10, Batch    848, Loss  0.866311, Average Loss  0.868297, Time  0.276585
2021-09-16 19:41:32.172985 : Epoch 10, Batch    849, Loss  0.878541, Average Loss  0.868331, Time  0.264636
2021-09-16 19:41:35.141132 : Epoch 10, Batch    850, Loss  0.859658, Average Loss  0.868258, Time  0.264792
2021-09-16 19:41:38.105776 : Epoch 10, Batch    851, Loss  0.868303, Average Loss  0.868156, Time  0.263797
2021-09-16 19:41:41.075751 : Epoch 10, Batch    852, Loss  0.874241, Average Loss  0.868192, Time  0.264762
2021-09-16 19:41:44.090163 : Epoch 10, Batch    853, Loss  0.859681, Average Loss  0.868126, Time  0.264428
2021-09-16 19:41:47.054089 : Epoch 10, Batch    854, Loss  0.874979, Average Loss  0.868049, Time  0.263764
2021-09-16 19:41:50.059530 : Epoch 10, Batch    855, Loss  0.878347, Average Loss  0.868006, Time  0.264248
2021-09-16 19:41:53.050094 : Epoch 10, Batch    856, Loss  0.877103, Average Loss  0.868068, Time  0.265483
2021-09-16 19:41:56.027266 : Epoch 10, Batch    857, Loss  0.860052, Average Loss  0.868181, Time  0.265276
2021-09-16 19:41:59.014522 : Epoch 10, Batch    858, Loss  0.872320, Average Loss  0.868233, Time  0.265531
2021-09-16 19:42:02.020483 : Epoch 10, Batch    859, Loss  0.870524, Average Loss  0.868226, Time  0.264545
2021-09-16 19:42:04.994008 : Epoch 10, Batch    860, Loss  0.865189, Average Loss  0.868267, Time  0.263930
2021-09-16 19:42:07.962994 : Epoch 10, Batch    861, Loss  0.876940, Average Loss  0.868387, Time  0.264662
2021-09-16 19:42:10.944493 : Epoch 10, Batch    862, Loss  0.892295, Average Loss  0.868572, Time  0.264599
2021-09-16 19:42:13.939961 : Epoch 10, Batch    863, Loss  0.868128, Average Loss  0.868551, Time  0.264960
2021-09-16 19:42:16.912770 : Epoch 10, Batch    864, Loss  0.875932, Average Loss  0.868626, Time  0.271045
2021-09-16 19:42:19.887137 : Epoch 10, Batch    865, Loss  0.874129, Average Loss  0.868671, Time  0.263997
2021-09-16 19:42:22.845093 : Epoch 10, Batch    866, Loss  0.867325, Average Loss  0.868620, Time  0.264609
2021-09-16 19:42:25.816241 : Epoch 10, Batch    867, Loss  0.876505, Average Loss  0.868739, Time  0.264684
2021-09-16 19:42:28.797393 : Epoch 10, Batch    868, Loss  0.866808, Average Loss  0.868664, Time  0.264506
2021-09-16 19:42:31.789071 : Epoch 10, Batch    869, Loss  0.869003, Average Loss  0.868671, Time  0.264346
2021-09-16 19:42:34.766862 : Epoch 10, Batch    870, Loss  0.855049, Average Loss  0.868688, Time  0.263706
2021-09-16 19:42:37.762193 : Epoch 10, Batch    871, Loss  0.874452, Average Loss  0.868761, Time  0.264866
2021-09-16 19:42:40.761384 : Epoch 10, Batch    872, Loss  0.864459, Average Loss  0.868734, Time  0.264367
2021-09-16 19:42:43.737450 : Epoch 10, Batch    873, Loss  0.856848, Average Loss  0.868643, Time  0.264455
2021-09-16 19:42:46.749558 : Epoch 10, Batch    874, Loss  0.865922, Average Loss  0.868667, Time  0.265454
2021-09-16 19:42:49.721281 : Epoch 10, Batch    875, Loss  0.866748, Average Loss  0.868686, Time  0.265054
2021-09-16 19:42:52.688478 : Epoch 10, Batch    876, Loss  0.858934, Average Loss  0.868660, Time  0.264556
2021-09-16 19:42:55.696460 : Epoch 10, Batch    877, Loss  0.868026, Average Loss  0.868709, Time  0.264601
2021-09-16 19:42:58.678924 : Epoch 10, Batch    878, Loss  0.898086, Average Loss  0.868747, Time  0.263840
2021-09-16 19:43:01.658172 : Epoch 10, Batch    879, Loss  0.878418, Average Loss  0.868750, Time  0.274194
2021-09-16 19:43:04.634412 : Epoch 10, Batch    880, Loss  0.872108, Average Loss  0.868807, Time  0.265741
2021-09-16 19:43:07.609759 : Epoch 10, Batch    881, Loss  0.866273, Average Loss  0.868898, Time  0.265378
2021-09-16 19:43:10.621740 : Epoch 10, Batch    882, Loss  0.886145, Average Loss  0.868981, Time  0.264227
2021-09-16 19:43:13.586868 : Epoch 10, Batch    883, Loss  0.874322, Average Loss  0.869001, Time  0.264345
2021-09-16 19:43:16.581977 : Epoch 10, Batch    884, Loss  0.870009, Average Loss  0.868996, Time  0.264151
2021-09-16 19:43:19.552508 : Epoch 10, Batch    885, Loss  0.860761, Average Loss  0.868911, Time  0.264233
2021-09-16 19:43:22.520773 : Epoch 10, Batch    886, Loss  0.869606, Average Loss  0.868845, Time  0.263845
2021-09-16 19:43:25.497855 : Epoch 10, Batch    887, Loss  0.868183, Average Loss  0.868928, Time  0.264589
2021-09-16 19:43:28.496559 : Epoch 10, Batch    888, Loss  0.858746, Average Loss  0.868959, Time  0.264238
2021-09-16 19:43:31.463856 : Epoch 10, Batch    889, Loss  0.867900, Average Loss  0.869024, Time  0.264291
2021-09-16 19:43:34.431019 : Epoch 10, Batch    890, Loss  0.861656, Average Loss  0.868987, Time  0.264794
2021-09-16 19:43:37.407531 : Epoch 10, Batch    891, Loss  0.875626, Average Loss  0.869049, Time  0.264157
2021-09-16 19:43:40.375459 : Epoch 10, Batch    892, Loss  0.875525, Average Loss  0.869085, Time  0.264542
2021-09-16 19:43:43.363982 : Epoch 10, Batch    893, Loss  0.868287, Average Loss  0.869102, Time  0.264826
2021-09-16 19:43:46.366577 : Epoch 10, Batch    894, Loss  0.867293, Average Loss  0.869025, Time  0.278359
2021-09-16 19:43:49.365636 : Epoch 10, Batch    895, Loss  0.848831, Average Loss  0.868921, Time  0.265366
2021-09-16 19:43:52.380150 : Epoch 10, Batch    896, Loss  0.868239, Average Loss  0.868881, Time  0.264921
2021-09-16 19:44:59.158691 : CheckPoint: Validation Loss  0.00030020, Best Loss  0.00029207
2021-09-16 19:45:01.732889 : Epoch  8, Batch   1809, Loss  0.877716, Average Loss  0.868407, Time  0.269473
2021-09-16 19:45:04.298828 : Epoch  8, Batch   1810, Loss  0.856292, Average Loss  0.868265, Time  0.244279
2021-09-16 19:45:06.856095 : Epoch  8, Batch   1811, Loss  0.879651, Average Loss  0.868333, Time  0.237662
2021-09-16 19:45:09.415032 : Epoch  8, Batch   1812, Loss  0.886446, Average Loss  0.868357, Time  0.238802
2021-09-16 19:45:11.975962 : Epoch  8, Batch   1813, Loss  0.856588, Average Loss  0.868237, Time  0.237362
2021-09-16 19:45:14.571804 : Epoch  8, Batch   1814, Loss  0.862749, Average Loss  0.868226, Time  0.237514
2021-09-16 19:45:17.177903 : Epoch  8, Batch   1815, Loss  0.849664, Average Loss  0.868079, Time  0.237670
2021-09-16 19:45:19.757687 : Epoch  8, Batch   1816, Loss  0.870963, Average Loss  0.868001, Time  0.237696
2021-09-16 19:45:22.313289 : Epoch  8, Batch   1817, Loss  0.867626, Average Loss  0.868018, Time  0.238659
2021-09-16 19:45:24.894910 : Epoch  8, Batch   1818, Loss  0.851282, Average Loss  0.867893, Time  0.238050
2021-09-16 19:45:27.446133 : Epoch  8, Batch   1819, Loss  0.884572, Average Loss  0.868055, Time  0.237934
2021-09-16 19:45:30.004823 : Epoch  8, Batch   1820, Loss  0.883610, Average Loss  0.868264, Time  0.237766
2021-09-16 19:45:32.577920 : Epoch  8, Batch   1821, Loss  0.855740, Average Loss  0.868057, Time  0.237719
2021-09-16 19:45:35.137140 : Epoch  8, Batch   1822, Loss  0.866242, Average Loss  0.868039, Time  0.237740
2021-09-16 19:45:37.745055 : Epoch  8, Batch   1823, Loss  0.881338, Average Loss  0.868001, Time  0.237173
2021-09-16 19:45:40.293131 : Epoch  8, Batch   1824, Loss  0.885573, Average Loss  0.868136, Time  0.237552
2021-09-16 19:45:42.863872 : Epoch  8, Batch   1825, Loss  0.880253, Average Loss  0.868241, Time  0.237334
2021-09-16 19:45:45.424698 : Epoch  8, Batch   1826, Loss  0.868515, Average Loss  0.868128, Time  0.237833
2021-09-16 19:45:47.994721 : Epoch  8, Batch   1827, Loss  0.863663, Average Loss  0.868036, Time  0.238972
2021-09-16 19:45:50.565081 : Epoch  8, Batch   1828, Loss  0.878358, Average Loss  0.868110, Time  0.237676
2021-09-16 19:45:53.112032 : Epoch  8, Batch   1829, Loss  0.874564, Average Loss  0.868179, Time  0.237564
2021-09-16 19:45:55.679831 : Epoch  8, Batch   1830, Loss  0.849024, Average Loss  0.868109, Time  0.237476
2021-09-16 19:45:58.232804 : Epoch  8, Batch   1831, Loss  0.868172, Average Loss  0.868114, Time  0.237815
2021-09-16 19:46:00.800957 : Epoch  8, Batch   1832, Loss  0.857731, Average Loss  0.868166, Time  0.237496
2021-09-16 19:46:03.354083 : Epoch  8, Batch   1833, Loss  0.866038, Average Loss  0.868143, Time  0.237415
2021-09-16 19:46:05.929474 : Epoch  8, Batch   1834, Loss  0.878270, Average Loss  0.868180, Time  0.237514
2021-09-16 19:46:08.483123 : Epoch  8, Batch   1835, Loss  0.841194, Average Loss  0.868143, Time  0.237958
2021-09-16 19:46:11.058911 : Epoch  8, Batch   1836, Loss  0.875634, Average Loss  0.868132, Time  0.237416
2021-09-16 19:46:13.613042 : Epoch  8, Batch   1837, Loss  0.861007, Average Loss  0.868096, Time  0.237634
2021-09-16 19:46:16.172857 : Epoch  8, Batch   1838, Loss  0.859888, Average Loss  0.867934, Time  0.238017
2021-09-16 19:46:18.771814 : Epoch  8, Batch   1839, Loss  0.862908, Average Loss  0.867920, Time  0.237823
2021-09-16 19:46:21.331905 : Epoch  8, Batch   1840, Loss  0.852452, Average Loss  0.867902, Time  0.237704
2021-09-16 19:46:23.915718 : Epoch  8, Batch   1841, Loss  0.872160, Average Loss  0.867827, Time  0.238166
2021-09-16 19:46:26.520771 : Epoch  8, Batch   1842, Loss  0.846603, Average Loss  0.867659, Time  0.260569
2021-09-16 19:46:29.074076 : Epoch  8, Batch   1843, Loss  0.874435, Average Loss  0.867681, Time  0.237612
2021-09-16 19:46:31.641723 : Epoch  8, Batch   1844, Loss  0.877580, Average Loss  0.867747, Time  0.238050
2021-09-16 19:46:34.207898 : Epoch  8, Batch   1845, Loss  0.873440, Average Loss  0.867781, Time  0.237694
2021-09-16 19:46:36.806341 : Epoch  8, Batch   1846, Loss  0.862860, Average Loss  0.867865, Time  0.237779
2021-09-16 19:46:39.368075 : Epoch  8, Batch   1847, Loss  0.869865, Average Loss  0.867844, Time  0.238071
2021-09-16 19:46:41.957592 : Epoch  8, Batch   1848, Loss  0.899623, Average Loss  0.868009, Time  0.237992
2021-09-16 19:46:44.510948 : Epoch  8, Batch   1849, Loss  0.857600, Average Loss  0.867928, Time  0.237708
2021-09-16 19:46:47.064865 : Epoch  8, Batch   1850, Loss  0.864725, Average Loss  0.867997, Time  0.239429
2021-09-16 19:46:49.646786 : Epoch  8, Batch   1851, Loss  0.872528, Average Loss  0.867997, Time  0.237775
2021-09-16 19:46:52.237828 : Epoch  8, Batch   1852, Loss  0.893977, Average Loss  0.868171, Time  0.237814
2021-09-16 19:46:54.820738 : Epoch  8, Batch   1853, Loss  0.842031, Average Loss  0.868001, Time  0.237664
2021-09-16 19:46:57.374080 : Epoch  8, Batch   1854, Loss  0.872790, Average Loss  0.868024, Time  0.237679
2021-09-16 19:46:59.921871 : Epoch  8, Batch   1855, Loss  0.881201, Average Loss  0.868116, Time  0.237484
2021-09-16 19:47:02.481711 : Epoch  8, Batch   1856, Loss  0.881823, Average Loss  0.868211, Time  0.237759
2021-09-16 19:47:02.520562 : Saving Model after 8-th Epoch.
2021-09-16 19:47:03.288604 : Epoch Finished.
2021-09-16 19:47:09.234765 : Batch Shuffled
2021-09-16 19:47:11.866719 : Epoch  9, Batch      1, Loss  0.872697, Average Loss  0.868248, Time  0.274510
2021-09-16 19:47:14.427887 : Epoch  9, Batch      2, Loss  0.852188, Average Loss  0.868062, Time  0.252903
2021-09-16 19:47:16.966875 : Epoch  9, Batch      3, Loss  0.850709, Average Loss  0.867915, Time  0.237527
2021-09-16 19:47:19.532034 : Epoch  9, Batch      4, Loss  0.859860, Average Loss  0.867966, Time  0.237853
2021-09-16 19:47:22.068782 : Epoch  9, Batch      5, Loss  0.858747, Average Loss  0.867934, Time  0.237597
2021-09-16 19:47:24.611412 : Epoch  9, Batch      6, Loss  0.867232, Average Loss  0.867939, Time  0.238339
2021-09-16 19:47:27.159108 : Epoch  9, Batch      7, Loss  0.870017, Average Loss  0.867912, Time  0.237678
2021-09-16 19:47:29.698774 : Epoch  9, Batch      8, Loss  0.861664, Average Loss  0.867780, Time  0.237849
2021-09-16 19:47:32.245847 : Epoch  9, Batch      9, Loss  0.847688, Average Loss  0.867705, Time  0.237724
2021-09-16 19:47:34.814065 : Epoch  9, Batch     10, Loss  0.860684, Average Loss  0.867641, Time  0.237604
2021-09-16 19:47:37.376829 : Epoch  9, Batch     11, Loss  0.863083, Average Loss  0.867601, Time  0.237509
2021-09-16 19:47:39.945924 : Epoch  9, Batch     12, Loss  0.882529, Average Loss  0.867755, Time  0.237754
2021-09-16 19:47:42.522671 : Epoch  9, Batch     13, Loss  0.863620, Average Loss  0.867764, Time  0.237593
2021-09-16 19:47:45.063677 : Epoch  9, Batch     14, Loss  0.875356, Average Loss  0.867924, Time  0.239280
2021-09-16 19:47:47.608944 : Epoch  9, Batch     15, Loss  0.864184, Average Loss  0.867891, Time  0.237557
2021-09-16 19:47:50.148847 : Epoch  9, Batch     16, Loss  0.867850, Average Loss  0.867960, Time  0.237442
2021-09-16 19:47:52.715836 : Epoch  9, Batch     17, Loss  0.880722, Average Loss  0.868015, Time  0.249254
2021-09-16 19:47:55.284842 : Epoch  9, Batch     18, Loss  0.865125, Average Loss  0.867934, Time  0.237815
2021-09-16 19:47:57.846936 : Epoch  9, Batch     19, Loss  0.873918, Average Loss  0.867942, Time  0.237828
2021-09-16 19:48:00.385904 : Epoch  9, Batch     20, Loss  0.865781, Average Loss  0.867894, Time  0.237377
2021-09-16 19:48:02.971008 : Epoch  9, Batch     21, Loss  0.883900, Average Loss  0.867967, Time  0.237971
2021-09-16 19:48:05.517943 : Epoch  9, Batch     22, Loss  0.867312, Average Loss  0.867975, Time  0.237425
2021-09-16 19:48:08.059715 : Epoch  9, Batch     23, Loss  0.866428, Average Loss  0.868029, Time  0.237748
2021-09-16 19:48:10.610696 : Epoch  9, Batch     24, Loss  0.874359, Average Loss  0.868064, Time  0.237672
2021-09-16 19:48:13.168090 : Epoch  9, Batch     25, Loss  0.864607, Average Loss  0.868106, Time  0.238007
2021-09-16 19:48:15.706844 : Epoch  9, Batch     26, Loss  0.854168, Average Loss  0.868053, Time  0.237411
2021-09-16 19:48:18.247812 : Epoch  9, Batch     27, Loss  0.885756, Average Loss  0.868133, Time  0.237831
2021-09-16 19:48:20.790773 : Epoch  9, Batch     28, Loss  0.870162, Average Loss  0.868180, Time  0.237581
2021-09-16 19:48:23.347669 : Epoch  9, Batch     29, Loss  0.851905, Average Loss  0.868065, Time  0.240669
2021-09-16 19:48:25.889674 : Epoch  9, Batch     30, Loss  0.853711, Average Loss  0.868104, Time  0.237591
2021-09-16 19:48:27.776634 : CheckPoint: Validation Loss  0.00030751, Best Loss  0.00029014
2021-09-16 19:48:28.448832 : Epoch  9, Batch     31, Loss  0.854267, Average Loss  0.867928, Time  0.238138
2021-09-16 19:48:30.733959 : Epoch 10, Batch    897, Loss  0.842918, Average Loss  0.868782, Time  0.264853
2021-09-16 19:48:30.987090 : Epoch  9, Batch     32, Loss  0.866531, Average Loss  0.867808, Time  0.237268
2021-09-16 19:48:33.541066 : Epoch  9, Batch     33, Loss  0.889845, Average Loss  0.867840, Time  0.237300
2021-09-16 19:48:33.722315 : Epoch 10, Batch    898, Loss  0.880404, Average Loss  0.868918, Time  0.264796
2021-09-16 19:48:36.082881 : Epoch  9, Batch     34, Loss  0.861491, Average Loss  0.867857, Time  0.237863
2021-09-16 19:48:36.715216 : Epoch 10, Batch    899, Loss  0.868654, Average Loss  0.868860, Time  0.265562
2021-09-16 19:48:38.651061 : Epoch  9, Batch     35, Loss  0.861525, Average Loss  0.867795, Time  0.237476
2021-09-16 19:48:39.685664 : Epoch 10, Batch    900, Loss  0.875313, Average Loss  0.868937, Time  0.263956
2021-09-16 19:48:41.217869 : Epoch  9, Batch     36, Loss  0.867792, Average Loss  0.867869, Time  0.237779
2021-09-16 19:48:42.649028 : Epoch 10, Batch    901, Loss  0.862353, Average Loss  0.868863, Time  0.264784
2021-09-16 19:48:43.791052 : Epoch  9, Batch     37, Loss  0.866601, Average Loss  0.867923, Time  0.237371
2021-09-16 19:48:45.650477 : Epoch 10, Batch    902, Loss  0.879318, Average Loss  0.868881, Time  0.266266
2021-09-16 19:48:46.361000 : Epoch  9, Batch     38, Loss  0.864601, Average Loss  0.868015, Time  0.237631
2021-09-16 19:48:48.659818 : Epoch 10, Batch    903, Loss  0.874451, Average Loss  0.868915, Time  0.264055
2021-09-16 19:48:48.904822 : Epoch  9, Batch     39, Loss  0.866783, Average Loss  0.868052, Time  0.237422
2021-09-16 19:48:51.460738 : Epoch  9, Batch     40, Loss  0.860543, Average Loss  0.868002, Time  0.237530
2021-09-16 19:48:51.633669 : Epoch 10, Batch    904, Loss  0.886392, Average Loss  0.869019, Time  0.264628
2021-09-16 19:48:54.035798 : Epoch  9, Batch     41, Loss  0.862054, Average Loss  0.867954, Time  0.237441
2021-09-16 19:48:54.596166 : Epoch 10, Batch    905, Loss  0.862124, Average Loss  0.868984, Time  0.265798
2021-09-16 19:48:56.601923 : Epoch  9, Batch     42, Loss  0.912048, Average Loss  0.868269, Time  0.237572
2021-09-16 19:48:57.571498 : Epoch 10, Batch    906, Loss  0.873698, Average Loss  0.868961, Time  0.264089
2021-09-16 19:48:59.142928 : Epoch  9, Batch     43, Loss  0.853388, Average Loss  0.868119, Time  0.237792
2021-09-16 19:49:00.550195 : Epoch 10, Batch    907, Loss  0.882579, Average Loss  0.869047, Time  0.264966
2021-09-16 19:49:01.679918 : Epoch  9, Batch     44, Loss  0.848915, Average Loss  0.868147, Time  0.237941
2021-09-16 19:49:03.523045 : Epoch 10, Batch    908, Loss  0.850398, Average Loss  0.869049, Time  0.265668
2021-09-16 19:49:04.224078 : Epoch  9, Batch     45, Loss  0.870799, Average Loss  0.868207, Time  0.237551
2021-09-16 19:49:06.484062 : Epoch 10, Batch    909, Loss  0.880999, Average Loss  0.869097, Time  0.265821
2021-09-16 19:49:06.775017 : Epoch  9, Batch     46, Loss  0.883695, Average Loss  0.868183, Time  0.238666
2021-09-16 19:49:09.309913 : Epoch  9, Batch     47, Loss  0.871911, Average Loss  0.868116, Time  0.237441
2021-09-16 19:49:09.480867 : Epoch 10, Batch    910, Loss  0.880545, Average Loss  0.869260, Time  0.264576
2021-09-16 19:49:11.848928 : Epoch  9, Batch     48, Loss  0.866489, Average Loss  0.868097, Time  0.237940
2021-09-16 19:49:12.456958 : Epoch 10, Batch    911, Loss  0.852348, Average Loss  0.869166, Time  0.276625
2021-09-16 19:49:14.422286 : Epoch  9, Batch     49, Loss  0.861941, Average Loss  0.868065, Time  0.237487
2021-09-16 19:49:15.440905 : Epoch 10, Batch    912, Loss  0.868835, Average Loss  0.869165, Time  0.264040
2021-09-16 19:49:16.984098 : Epoch  9, Batch     50, Loss  0.876750, Average Loss  0.868187, Time  0.237461
2021-09-16 19:49:18.407081 : Epoch 10, Batch    913, Loss  0.860537, Average Loss  0.869050, Time  0.264003
2021-09-16 19:49:19.546911 : Epoch  9, Batch     51, Loss  0.851723, Average Loss  0.868147, Time  0.237459
2021-09-16 19:49:21.384741 : Epoch 10, Batch    914, Loss  0.862901, Average Loss  0.869035, Time  0.263549
2021-09-16 19:49:22.094731 : Epoch  9, Batch     52, Loss  0.870087, Average Loss  0.868197, Time  0.237797
2021-09-16 19:49:24.356091 : Epoch 10, Batch    915, Loss  0.877825, Average Loss  0.869138, Time  0.264429
2021-09-16 19:49:27.325884 : Epoch 10, Batch    916, Loss  0.876706, Average Loss  0.869174, Time  0.264920
2021-09-16 19:49:30.292176 : Epoch 10, Batch    917, Loss  0.891309, Average Loss  0.869342, Time  0.263821
2021-09-16 19:49:33.285181 : Epoch 10, Batch    918, Loss  0.874109, Average Loss  0.869308, Time  0.264311
2021-09-16 19:49:36.263772 : Epoch 10, Batch    919, Loss  0.869142, Average Loss  0.869279, Time  0.264700
2021-09-16 19:49:39.266347 : Epoch 10, Batch    920, Loss  0.870565, Average Loss  0.869235, Time  0.264853
2021-09-16 19:49:42.252453 : Epoch 10, Batch    921, Loss  0.857179, Average Loss  0.869076, Time  0.264737
2021-09-16 19:49:45.218674 : Epoch 10, Batch    922, Loss  0.904432, Average Loss  0.869194, Time  0.265077
2021-09-16 19:49:48.204107 : Epoch 10, Batch    923, Loss  0.848154, Average Loss  0.869135, Time  0.264202
2021-09-16 19:49:51.177876 : Epoch 10, Batch    924, Loss  0.856299, Average Loss  0.869133, Time  0.264642
2021-09-16 19:49:54.158699 : Epoch 10, Batch    925, Loss  0.838294, Average Loss  0.869068, Time  0.264344
2021-09-16 19:49:57.130477 : Epoch 10, Batch    926, Loss  0.864287, Average Loss  0.869049, Time  0.264285
2021-09-16 19:50:00.126317 : Epoch 10, Batch    927, Loss  0.879488, Average Loss  0.869165, Time  0.274670
2021-09-16 19:50:03.099058 : Epoch 10, Batch    928, Loss  0.858350, Average Loss  0.869047, Time  0.264781
2021-09-16 19:50:06.060332 : Epoch 10, Batch    929, Loss  0.878469, Average Loss  0.869096, Time  0.263794
2021-09-16 19:50:09.015348 : Epoch 10, Batch    930, Loss  0.847316, Average Loss  0.869078, Time  0.264199
2021-09-16 19:50:11.995255 : Epoch 10, Batch    931, Loss  0.858041, Average Loss  0.869060, Time  0.264836
2021-09-16 19:50:14.957342 : Epoch 10, Batch    932, Loss  0.876445, Average Loss  0.869051, Time  0.263748
2021-09-16 19:50:17.949908 : Epoch 10, Batch    933, Loss  0.876208, Average Loss  0.869115, Time  0.265387
2021-09-16 19:50:20.922862 : Epoch 10, Batch    934, Loss  0.875733, Average Loss  0.869250, Time  0.263821
2021-09-16 19:50:23.885360 : Epoch 10, Batch    935, Loss  0.888020, Average Loss  0.869308, Time  0.263578
2021-09-16 19:50:26.845782 : Epoch 10, Batch    936, Loss  0.857497, Average Loss  0.869191, Time  0.263701
2021-09-16 19:50:29.825613 : Epoch 10, Batch    937, Loss  0.889009, Average Loss  0.869291, Time  0.264288
2021-09-16 19:50:32.791677 : Epoch 10, Batch    938, Loss  0.863966, Average Loss  0.869270, Time  0.264390
2021-09-16 19:50:35.770179 : Epoch 10, Batch    939, Loss  0.863805, Average Loss  0.869254, Time  0.263904
2021-09-16 19:50:38.721076 : Epoch 10, Batch    940, Loss  0.889865, Average Loss  0.869458, Time  0.263893
2021-09-16 19:50:41.687502 : Epoch 10, Batch    941, Loss  0.871110, Average Loss  0.869569, Time  0.264727
2021-09-16 19:50:44.673384 : Epoch 10, Batch    942, Loss  0.854207, Average Loss  0.869615, Time  0.276266
2021-09-16 19:50:47.653720 : Epoch 10, Batch    943, Loss  0.866626, Average Loss  0.869665, Time  0.266852
2021-09-16 19:50:50.656247 : Epoch 10, Batch    944, Loss  0.890989, Average Loss  0.869802, Time  0.263856
2021-09-16 19:50:53.621789 : Epoch 10, Batch    945, Loss  0.897915, Average Loss  0.869946, Time  0.264348
2021-09-16 19:50:56.628999 : Epoch 10, Batch    946, Loss  0.853180, Average Loss  0.869893, Time  0.265383
2021-09-16 19:50:59.671177 : Epoch 10, Batch    947, Loss  0.881679, Average Loss  0.869907, Time  0.264050
2021-09-16 19:51:02.660457 : Epoch 10, Batch    948, Loss  0.858033, Average Loss  0.869838, Time  0.264973
2021-09-16 19:51:05.639045 : Epoch 10, Batch    949, Loss  0.870007, Average Loss  0.869927, Time  0.264791
2021-09-16 19:51:08.637086 : Epoch 10, Batch    950, Loss  0.880635, Average Loss  0.869996, Time  0.265521
2021-09-16 19:51:11.632011 : Epoch 10, Batch    951, Loss  0.870404, Average Loss  0.870098, Time  0.264469
2021-09-16 19:51:14.591699 : Epoch 10, Batch    952, Loss  0.884318, Average Loss  0.870276, Time  0.264424
2021-09-16 19:51:17.561313 : Epoch 10, Batch    953, Loss  0.847590, Average Loss  0.870154, Time  0.264346
2021-09-16 19:51:20.521487 : Epoch 10, Batch    954, Loss  0.876110, Average Loss  0.870098, Time  0.264388
2021-09-16 19:51:23.523737 : Epoch 10, Batch    955, Loss  0.878247, Average Loss  0.870178, Time  0.264503
2021-09-16 19:51:26.521109 : Epoch 10, Batch    956, Loss  0.857191, Average Loss  0.870280, Time  0.264897
2021-09-16 19:51:29.503831 : Epoch 10, Batch    957, Loss  0.867102, Average Loss  0.870307, Time  0.275893
2021-09-16 19:51:32.499213 : Epoch 10, Batch    958, Loss  0.878194, Average Loss  0.870399, Time  0.265031
2021-09-16 19:51:35.482178 : Epoch 10, Batch    959, Loss  0.875171, Average Loss  0.870504, Time  0.266079
2021-09-16 19:51:38.443712 : Epoch 10, Batch    960, Loss  0.873978, Average Loss  0.870488, Time  0.265793
2021-09-16 19:51:41.420660 : Epoch 10, Batch    961, Loss  0.862395, Average Loss  0.870434, Time  0.265786
2021-09-16 19:51:44.424621 : Epoch 10, Batch    962, Loss  0.862169, Average Loss  0.870426, Time  0.264410
2021-09-16 19:51:47.412189 : Epoch 10, Batch    963, Loss  0.884255, Average Loss  0.870486, Time  0.264491
2021-09-16 19:51:50.406315 : Epoch 10, Batch    964, Loss  0.854435, Average Loss  0.870327, Time  0.265087
2021-09-16 19:51:53.433873 : Epoch 10, Batch    965, Loss  0.888899, Average Loss  0.870426, Time  0.264951
2021-09-16 19:51:56.394464 : Epoch 10, Batch    966, Loss  0.851359, Average Loss  0.870223, Time  0.265008
2021-09-16 19:51:59.388361 : Epoch 10, Batch    967, Loss  0.856780, Average Loss  0.870236, Time  0.264297
2021-09-16 19:52:02.393839 : Epoch 10, Batch    968, Loss  0.865766, Average Loss  0.870231, Time  0.264695
2021-09-16 19:52:05.360625 : Epoch 10, Batch    969, Loss  0.861824, Average Loss  0.870206, Time  0.264122
2021-09-16 19:52:08.352683 : Epoch 10, Batch    970, Loss  0.854035, Average Loss  0.870103, Time  0.264621
2021-09-16 19:52:11.316104 : Epoch 10, Batch    971, Loss  0.876114, Average Loss  0.870144, Time  0.265772
2021-09-16 19:52:14.288111 : Epoch 10, Batch    972, Loss  0.882497, Average Loss  0.870135, Time  0.276856
2021-09-16 19:52:17.276357 : Epoch 10, Batch    973, Loss  0.863262, Average Loss  0.870051, Time  0.264051
2021-09-16 19:52:20.273698 : Epoch 10, Batch    974, Loss  0.855932, Average Loss  0.870031, Time  0.265352
2021-09-16 19:52:23.325498 : Epoch 10, Batch    975, Loss  0.846500, Average Loss  0.869931, Time  0.265971
2021-09-16 19:52:26.283414 : Epoch 10, Batch    976, Loss  0.869904, Average Loss  0.869893, Time  0.263915
2021-09-16 19:52:29.262216 : Epoch 10, Batch    977, Loss  0.870220, Average Loss  0.869931, Time  0.265320
2021-09-16 19:52:32.241117 : Epoch 10, Batch    978, Loss  0.885572, Average Loss  0.870012, Time  0.263861
2021-09-16 19:52:35.194629 : Epoch 10, Batch    979, Loss  0.859564, Average Loss  0.869925, Time  0.264260
2021-09-16 19:52:38.169336 : Epoch 10, Batch    980, Loss  0.886404, Average Loss  0.869959, Time  0.264641
2021-09-16 19:52:41.150290 : Epoch 10, Batch    981, Loss  0.864533, Average Loss  0.869934, Time  0.265615
2021-09-16 19:52:44.094200 : Epoch 10, Batch    982, Loss  0.893803, Average Loss  0.870045, Time  0.264143
2021-09-16 19:52:47.086207 : Epoch 10, Batch    983, Loss  0.873780, Average Loss  0.870156, Time  0.265219
2021-09-16 19:52:50.069374 : Epoch 10, Batch    984, Loss  0.856386, Average Loss  0.870153, Time  0.265158
2021-09-16 19:52:53.036053 : Epoch 10, Batch    985, Loss  0.872302, Average Loss  0.870243, Time  0.264211
2021-09-16 19:52:56.010433 : Epoch 10, Batch    986, Loss  0.865917, Average Loss  0.870193, Time  0.265682
2021-09-16 19:52:58.971276 : Epoch 10, Batch    987, Loss  0.879492, Average Loss  0.870204, Time  0.263954
2021-09-16 19:53:01.954705 : Epoch 10, Batch    988, Loss  0.894658, Average Loss  0.870256, Time  0.274566
2021-09-16 19:53:04.953961 : Epoch 10, Batch    989, Loss  0.910978, Average Loss  0.870485, Time  0.264374
2021-09-16 19:53:07.913880 : Epoch 10, Batch    990, Loss  0.856108, Average Loss  0.870380, Time  0.265570
2021-09-16 19:53:10.904921 : Epoch 10, Batch    991, Loss  0.875003, Average Loss  0.870429, Time  0.264095
2021-09-16 19:53:13.888717 : Epoch 10, Batch    992, Loss  0.872255, Average Loss  0.870373, Time  0.264418
2021-09-16 19:53:16.726682 : CheckPoint: Validation Loss  0.00031166, Best Loss  0.00029207
2021-09-16 19:53:16.886808 : Epoch 10, Batch    993, Loss  0.875854, Average Loss  0.870449, Time  0.264426
2021-09-16 19:53:19.290896 : Epoch  9, Batch     53, Loss  0.865671, Average Loss  0.868159, Time  0.261848
2021-09-16 19:53:19.846466 : Epoch 10, Batch    994, Loss  0.873192, Average Loss  0.870500, Time  0.264967
2021-09-16 19:53:21.844665 : Epoch  9, Batch     54, Loss  0.856998, Average Loss  0.868134, Time  0.242820
2021-09-16 19:53:22.813345 : Epoch 10, Batch    995, Loss  0.856237, Average Loss  0.870469, Time  0.264638
2021-09-16 19:53:24.377882 : Epoch  9, Batch     55, Loss  0.861240, Average Loss  0.868051, Time  0.237807
2021-09-16 19:53:25.781809 : Epoch 10, Batch    996, Loss  0.864843, Average Loss  0.870386, Time  0.264014
2021-09-16 19:53:26.915080 : Epoch  9, Batch     56, Loss  0.859716, Average Loss  0.867954, Time  0.237568
2021-09-16 19:53:29.454874 : Epoch  9, Batch     57, Loss  0.848408, Average Loss  0.867826, Time  0.237784
2021-09-16 19:53:31.992903 : Epoch  9, Batch     58, Loss  0.868506, Average Loss  0.867797, Time  0.237643
2021-09-16 19:53:34.528952 : Epoch  9, Batch     59, Loss  0.867529, Average Loss  0.867856, Time  0.237620
2021-09-16 19:53:37.129922 : Epoch  9, Batch     60, Loss  0.853356, Average Loss  0.867682, Time  0.237561
2021-09-16 19:53:39.678934 : Epoch  9, Batch     61, Loss  0.873856, Average Loss  0.867805, Time  0.237821
2021-09-16 19:53:42.215693 : Epoch  9, Batch     62, Loss  0.855738, Average Loss  0.867702, Time  0.237796
2021-09-16 19:53:44.757604 : Epoch  9, Batch     63, Loss  0.880330, Average Loss  0.867840, Time  0.237664
2021-09-16 19:53:47.295935 : Epoch  9, Batch     64, Loss  0.865896, Average Loss  0.867895, Time  0.237758
2021-09-16 19:53:49.835935 : Epoch  9, Batch     65, Loss  0.856541, Average Loss  0.867907, Time  0.238016
2021-09-16 19:53:52.376904 : Epoch  9, Batch     66, Loss  0.859244, Average Loss  0.867825, Time  0.237426
2021-09-16 19:53:54.920802 : Epoch  9, Batch     67, Loss  0.884815, Average Loss  0.868038, Time  0.237428
2021-09-16 19:53:57.488770 : Epoch  9, Batch     68, Loss  0.872750, Average Loss  0.868084, Time  0.237891
2021-09-16 19:54:00.033695 : Epoch  9, Batch     69, Loss  0.863589, Average Loss  0.868101, Time  0.237850
2021-09-16 19:54:02.587254 : Epoch  9, Batch     70, Loss  0.855262, Average Loss  0.868050, Time  0.238106
2021-09-16 19:54:05.132976 : Epoch  9, Batch     71, Loss  0.860208, Average Loss  0.868029, Time  0.237898
2021-09-16 19:54:07.675056 : Epoch  9, Batch     72, Loss  0.872833, Average Loss  0.868043, Time  0.237678
2021-09-16 19:54:10.224930 : Epoch  9, Batch     73, Loss  0.872390, Average Loss  0.868011, Time  0.237515
2021-09-16 19:54:12.759708 : Epoch  9, Batch     74, Loss  0.876086, Average Loss  0.868128, Time  0.237419
2021-09-16 19:54:15.313282 : Epoch  9, Batch     75, Loss  0.843533, Average Loss  0.867981, Time  0.238271
2021-09-16 19:54:17.854035 : Epoch  9, Batch     76, Loss  0.877857, Average Loss  0.868000, Time  0.237692
2021-09-16 19:54:20.392704 : Epoch  9, Batch     77, Loss  0.872707, Average Loss  0.868025, Time  0.237457
2021-09-16 19:54:22.933200 : Epoch  9, Batch     78, Loss  0.862782, Average Loss  0.868023, Time  0.237672
2021-09-16 19:54:25.482098 : Epoch  9, Batch     79, Loss  0.868031, Average Loss  0.867945, Time  0.237635
2021-09-16 19:54:28.031895 : Epoch  9, Batch     80, Loss  0.861819, Average Loss  0.867928, Time  0.237790
2021-09-16 19:54:30.569899 : Epoch  9, Batch     81, Loss  0.856570, Average Loss  0.867807, Time  0.237548
2021-09-16 19:54:33.117097 : Epoch  9, Batch     82, Loss  0.863158, Average Loss  0.867703, Time  0.237721
2021-09-16 19:54:35.665896 : Epoch  9, Batch     83, Loss  0.887822, Average Loss  0.867840, Time  0.238782
2021-09-16 19:54:38.209690 : Epoch  9, Batch     84, Loss  0.862386, Average Loss  0.867820, Time  0.237594
2021-09-16 19:54:40.742064 : Epoch  9, Batch     85, Loss  0.842801, Average Loss  0.867685, Time  0.237468
2021-09-16 19:54:43.284065 : Epoch  9, Batch     86, Loss  0.861394, Average Loss  0.867537, Time  0.237147
2021-09-16 19:54:45.832676 : Epoch  9, Batch     87, Loss  0.855669, Average Loss  0.867488, Time  0.237771
2021-09-16 19:54:48.381895 : Epoch  9, Batch     88, Loss  0.860740, Average Loss  0.867542, Time  0.237656
2021-09-16 19:54:50.915120 : Epoch  9, Batch     89, Loss  0.866665, Average Loss  0.867580, Time  0.237566
2021-09-16 19:54:53.446248 : Epoch  9, Batch     90, Loss  0.875410, Average Loss  0.867566, Time  0.237952
2021-09-16 19:54:56.002242 : Epoch  9, Batch     91, Loss  0.893761, Average Loss  0.867693, Time  0.238322
2021-09-16 19:54:58.538666 : Epoch  9, Batch     92, Loss  0.866179, Average Loss  0.867734, Time  0.237786
2021-09-16 19:55:01.086200 : Epoch  9, Batch     93, Loss  0.890707, Average Loss  0.867860, Time  0.238358
2021-09-16 19:55:03.626683 : Epoch  9, Batch     94, Loss  0.880449, Average Loss  0.867884, Time  0.238070
2021-09-16 19:55:06.170093 : Epoch  9, Batch     95, Loss  0.879373, Average Loss  0.867933, Time  0.238269
2021-09-16 19:55:08.716038 : Epoch  9, Batch     96, Loss  0.889369, Average Loss  0.868029, Time  0.237745
2021-09-16 19:55:11.255951 : Epoch  9, Batch     97, Loss  0.856996, Average Loss  0.867908, Time  0.238052
2021-09-16 19:55:13.787106 : Epoch  9, Batch     98, Loss  0.873970, Average Loss  0.867906, Time  0.237669
2021-09-16 19:55:16.318301 : Epoch  9, Batch     99, Loss  0.881676, Average Loss  0.868090, Time  0.237953
2021-09-16 19:55:18.853081 : Epoch  9, Batch    100, Loss  0.848464, Average Loss  0.868099, Time  0.237358
2021-09-16 19:55:21.388981 : Epoch  9, Batch    101, Loss  0.874359, Average Loss  0.868037, Time  0.237961
2021-09-16 19:55:23.925220 : Epoch  9, Batch    102, Loss  0.857426, Average Loss  0.868010, Time  0.237838
2021-09-16 19:55:26.476207 : Epoch  9, Batch    103, Loss  0.862227, Average Loss  0.867855, Time  0.237598
2021-09-16 19:55:29.013697 : Epoch  9, Batch    104, Loss  0.878881, Average Loss  0.867757, Time  0.237551
2021-09-16 19:55:31.557017 : Epoch  9, Batch    105, Loss  0.833565, Average Loss  0.867485, Time  0.238013
2021-09-16 19:55:34.101696 : Epoch  9, Batch    106, Loss  0.864874, Average Loss  0.867552, Time  0.237513
2021-09-16 19:55:36.642701 : Epoch  9, Batch    107, Loss  0.861959, Average Loss  0.867543, Time  0.237662
2021-09-16 19:55:39.176170 : Epoch  9, Batch    108, Loss  0.887379, Average Loss  0.867694, Time  0.237841
2021-09-16 19:55:41.728892 : Epoch  9, Batch    109, Loss  0.869837, Average Loss  0.867731, Time  0.237738
2021-09-16 19:55:44.269785 : Epoch  9, Batch    110, Loss  0.879579, Average Loss  0.867837, Time  0.237743
2021-09-16 19:55:46.808796 : Epoch  9, Batch    111, Loss  0.863033, Average Loss  0.867852, Time  0.237488
2021-09-16 19:55:49.353685 : Epoch  9, Batch    112, Loss  0.872056, Average Loss  0.867826, Time  0.237463
2021-09-16 19:55:51.892148 : Epoch  9, Batch    113, Loss  0.848835, Average Loss  0.867710, Time  0.237670
2021-09-16 19:55:54.441880 : Epoch  9, Batch    114, Loss  0.886418, Average Loss  0.867837, Time  0.237823
2021-09-16 19:55:56.985923 : Epoch  9, Batch    115, Loss  0.877961, Average Loss  0.867902, Time  0.237404
2021-09-16 19:55:59.530741 : Epoch  9, Batch    116, Loss  0.859761, Average Loss  0.867872, Time  0.237694
2021-09-16 19:56:02.087232 : Epoch  9, Batch    117, Loss  0.891237, Average Loss  0.868050, Time  0.237729
2021-09-16 19:56:04.625904 : Epoch  9, Batch    118, Loss  0.863209, Average Loss  0.868000, Time  0.237882
2021-09-16 19:56:07.177129 : Epoch  9, Batch    119, Loss  0.857268, Average Loss  0.867998, Time  0.238055
2021-09-16 19:56:09.720719 : Epoch  9, Batch    120, Loss  0.864120, Average Loss  0.867998, Time  0.237837
2021-09-16 19:56:12.257749 : Epoch  9, Batch    121, Loss  0.851253, Average Loss  0.867985, Time  0.237975
2021-09-16 19:56:14.810908 : Epoch  9, Batch    122, Loss  0.860521, Average Loss  0.867818, Time  0.237927
2021-09-16 19:56:17.356691 : Epoch  9, Batch    123, Loss  0.877453, Average Loss  0.867858, Time  0.237641
2021-09-16 19:56:19.894705 : Epoch  9, Batch    124, Loss  0.841248, Average Loss  0.867639, Time  0.237913
2021-09-16 19:56:22.432940 : Epoch  9, Batch    125, Loss  0.871184, Average Loss  0.867627, Time  0.237449
2021-09-16 19:56:24.972865 : Epoch  9, Batch    126, Loss  0.881863, Average Loss  0.867772, Time  0.238125
2021-09-16 19:56:27.509671 : Epoch  9, Batch    127, Loss  0.853583, Average Loss  0.867714, Time  0.237460
2021-09-16 19:56:30.045846 : Epoch  9, Batch    128, Loss  0.869602, Average Loss  0.867634, Time  0.237630
2021-09-16 19:56:32.581288 : Epoch  9, Batch    129, Loss  0.876415, Average Loss  0.867757, Time  0.237803
2021-09-16 19:56:35.125797 : Epoch  9, Batch    130, Loss  0.842427, Average Loss  0.867592, Time  0.237933
2021-09-16 19:56:37.667927 : Epoch  9, Batch    131, Loss  0.862822, Average Loss  0.867438, Time  0.237880
2021-09-16 19:56:40.215061 : Epoch  9, Batch    132, Loss  0.892062, Average Loss  0.867534, Time  0.237861
2021-09-16 19:56:42.784854 : Epoch  9, Batch    133, Loss  0.855656, Average Loss  0.867511, Time  0.237450
2021-09-16 19:56:45.324904 : Epoch  9, Batch    134, Loss  0.865873, Average Loss  0.867580, Time  0.237470
2021-09-16 19:56:47.872682 : Epoch  9, Batch    135, Loss  0.870344, Average Loss  0.867642, Time  0.237712
2021-09-16 19:56:50.411684 : Epoch  9, Batch    136, Loss  0.861331, Average Loss  0.867530, Time  0.237845
2021-09-16 19:56:52.963891 : Epoch  9, Batch    137, Loss  0.865964, Average Loss  0.867496, Time  0.237597
2021-09-16 19:56:55.513908 : Epoch  9, Batch    138, Loss  0.874562, Average Loss  0.867488, Time  0.237568
2021-09-16 19:56:58.059127 : Epoch  9, Batch    139, Loss  0.865843, Average Loss  0.867520, Time  0.237664
2021-09-16 19:57:00.614971 : Epoch  9, Batch    140, Loss  0.875248, Average Loss  0.867571, Time  0.237492
2021-09-16 19:57:03.205924 : Epoch  9, Batch    141, Loss  0.854729, Average Loss  0.867521, Time  0.237580
2021-09-16 19:57:05.758814 : Epoch  9, Batch    142, Loss  0.865521, Average Loss  0.867499, Time  0.237849
2021-09-16 19:57:08.299993 : Epoch  9, Batch    143, Loss  0.886299, Average Loss  0.867660, Time  0.237873
2021-09-16 19:57:10.842379 : Epoch  9, Batch    144, Loss  0.869356, Average Loss  0.867624, Time  0.237866
2021-09-16 19:57:13.396752 : Epoch  9, Batch    145, Loss  0.850272, Average Loss  0.867530, Time  0.237644
2021-09-16 19:57:15.948863 : Epoch  9, Batch    146, Loss  0.851205, Average Loss  0.867432, Time  0.237616
2021-09-16 19:57:18.491859 : Epoch  9, Batch    147, Loss  0.887753, Average Loss  0.867465, Time  0.237764
2021-09-16 19:57:21.039911 : Epoch  9, Batch    148, Loss  0.863362, Average Loss  0.867282, Time  0.237936
2021-09-16 19:57:23.604006 : Epoch  9, Batch    149, Loss  0.866406, Average Loss  0.867310, Time  0.237408
2021-09-16 19:57:26.156905 : Epoch  9, Batch    150, Loss  0.874722, Average Loss  0.867223, Time  0.237708
2021-09-16 19:57:28.703663 : Epoch  9, Batch    151, Loss  0.849724, Average Loss  0.867141, Time  0.237754
2021-09-16 19:57:37.205793 : Epoch  9, Batch    152, Loss  0.871993, Average Loss  0.867173, Time  0.267676
2021-09-16 19:58:01.894778 : CheckPoint: Validation Loss  0.00030304, Best Loss  0.00029014
2021-09-16 19:58:04.857125 : Epoch 10, Batch    997, Loss  0.842942, Average Loss  0.870231, Time  0.264439
2021-09-16 19:58:07.821462 : Epoch 10, Batch    998, Loss  0.887044, Average Loss  0.870295, Time  0.264025
2021-09-16 19:58:10.790739 : Epoch 10, Batch    999, Loss  0.860962, Average Loss  0.870321, Time  0.264041
2021-09-16 19:58:13.760679 : Epoch 10, Batch   1000, Loss  0.883380, Average Loss  0.870335, Time  0.264573
2021-09-16 19:58:16.726163 : Epoch 10, Batch   1001, Loss  0.874005, Average Loss  0.870418, Time  0.264897
2021-09-16 19:58:19.687306 : Epoch 10, Batch   1002, Loss  0.871216, Average Loss  0.870491, Time  0.264751
2021-09-16 19:58:22.670791 : Epoch 10, Batch   1003, Loss  0.867333, Average Loss  0.870399, Time  0.263992
2021-09-16 19:58:25.636321 : Epoch 10, Batch   1004, Loss  0.873575, Average Loss  0.870445, Time  0.264345
2021-09-16 19:58:28.630956 : Epoch 10, Batch   1005, Loss  0.876545, Average Loss  0.870563, Time  0.276537
2021-09-16 19:58:31.602138 : Epoch 10, Batch   1006, Loss  0.884809, Average Loss  0.870527, Time  0.264105
2021-09-16 19:58:34.557381 : Epoch 10, Batch   1007, Loss  0.863545, Average Loss  0.870595, Time  0.264743
2021-09-16 19:58:37.529784 : Epoch 10, Batch   1008, Loss  0.870670, Average Loss  0.870512, Time  0.263540
2021-09-16 19:58:40.492783 : Epoch 10, Batch   1009, Loss  0.847238, Average Loss  0.870321, Time  0.264354
2021-09-16 19:58:43.446360 : Epoch 10, Batch   1010, Loss  0.857141, Average Loss  0.870338, Time  0.263927
2021-09-16 19:58:46.399633 : Epoch 10, Batch   1011, Loss  0.861880, Average Loss  0.870247, Time  0.264358
2021-09-16 19:58:49.380842 : Epoch 10, Batch   1012, Loss  0.874768, Average Loss  0.870184, Time  0.264122
2021-09-16 19:58:52.364341 : Epoch 10, Batch   1013, Loss  0.862650, Average Loss  0.870116, Time  0.264738
2021-09-16 19:58:55.355523 : Epoch 10, Batch   1014, Loss  0.861005, Average Loss  0.870045, Time  0.263921
2021-09-16 19:58:58.314675 : Epoch 10, Batch   1015, Loss  0.855287, Average Loss  0.869970, Time  0.263499
2021-09-16 19:59:01.286526 : Epoch 10, Batch   1016, Loss  0.892758, Average Loss  0.870114, Time  0.264357
2021-09-16 19:59:04.264225 : Epoch 10, Batch   1017, Loss  0.868365, Average Loss  0.870246, Time  0.264235
2021-09-16 19:59:07.227019 : Epoch 10, Batch   1018, Loss  0.875961, Average Loss  0.870233, Time  0.264231
2021-09-16 19:59:10.196524 : Epoch 10, Batch   1019, Loss  0.881779, Average Loss  0.870365, Time  0.264011
2021-09-16 19:59:13.150887 : Epoch 10, Batch   1020, Loss  0.864413, Average Loss  0.870338, Time  0.264260
2021-09-16 19:59:16.118801 : Epoch 10, Batch   1021, Loss  0.895000, Average Loss  0.870497, Time  0.275542
2021-09-16 19:59:19.087072 : Epoch 10, Batch   1022, Loss  0.849165, Average Loss  0.870280, Time  0.264969
2021-09-16 19:59:22.055885 : Epoch 10, Batch   1023, Loss  0.873294, Average Loss  0.870231, Time  0.265144
2021-09-16 19:59:25.027144 : Epoch 10, Batch   1024, Loss  0.871241, Average Loss  0.870250, Time  0.264114
2021-09-16 19:59:27.979349 : Epoch 10, Batch   1025, Loss  0.859352, Average Loss  0.870140, Time  0.264301
2021-09-16 19:59:30.984219 : Epoch 10, Batch   1026, Loss  0.859910, Average Loss  0.870077, Time  0.264763
2021-09-16 19:59:33.947409 : Epoch 10, Batch   1027, Loss  0.883119, Average Loss  0.870179, Time  0.264207
2021-09-16 19:59:36.898945 : Epoch 10, Batch   1028, Loss  0.863222, Average Loss  0.870114, Time  0.264140
2021-09-16 19:59:39.866382 : Epoch 10, Batch   1029, Loss  0.855930, Average Loss  0.869967, Time  0.263930
2021-09-16 19:59:42.837847 : Epoch 10, Batch   1030, Loss  0.867999, Average Loss  0.869890, Time  0.265667
2021-09-16 19:59:45.803048 : Epoch 10, Batch   1031, Loss  0.875682, Average Loss  0.869803, Time  0.263962
2021-09-16 19:59:48.756604 : Epoch 10, Batch   1032, Loss  0.860351, Average Loss  0.869810, Time  0.265997
2021-09-16 19:59:51.723684 : Epoch 10, Batch   1033, Loss  0.875355, Average Loss  0.869855, Time  0.264431
2021-09-16 19:59:54.807758 : Epoch 10, Batch   1034, Loss  0.864900, Average Loss  0.869782, Time  0.266838
2021-09-16 19:59:57.860701 : Epoch 10, Batch   1035, Loss  0.868535, Average Loss  0.869656, Time  0.264177
2021-09-16 20:00:00.838368 : Epoch 10, Batch   1036, Loss  0.874935, Average Loss  0.869687, Time  0.275970
2021-09-16 20:00:03.917891 : Epoch 10, Batch   1037, Loss  0.891207, Average Loss  0.869889, Time  0.267717
2021-09-16 20:00:06.934703 : Epoch 10, Batch   1038, Loss  0.872802, Average Loss  0.869936, Time  0.265166
2021-09-16 20:00:10.017442 : Epoch 10, Batch   1039, Loss  0.875115, Average Loss  0.870006, Time  0.266588
2021-09-16 20:00:13.107289 : Epoch 10, Batch   1040, Loss  0.895321, Average Loss  0.870240, Time  0.267481
2021-09-16 20:00:16.199040 : Epoch 10, Batch   1041, Loss  0.866864, Average Loss  0.870186, Time  0.267238
2021-09-16 20:00:19.322905 : Epoch 10, Batch   1042, Loss  0.878804, Average Loss  0.870171, Time  0.266366
2021-09-16 20:00:22.445268 : Epoch 10, Batch   1043, Loss  0.865719, Average Loss  0.870174, Time  0.267470
2021-09-16 20:00:25.519779 : Epoch 10, Batch   1044, Loss  0.891943, Average Loss  0.870239, Time  0.266432
2021-09-16 20:00:28.592275 : Epoch 10, Batch   1045, Loss  0.857784, Average Loss  0.870223, Time  0.265957
2021-09-16 20:00:31.665048 : Epoch 10, Batch   1046, Loss  0.877289, Average Loss  0.870220, Time  0.265325
2021-09-16 20:00:34.739162 : Epoch 10, Batch   1047, Loss  0.881040, Average Loss  0.870306, Time  0.264945
2021-09-16 20:00:37.810878 : Epoch 10, Batch   1048, Loss  0.869441, Average Loss  0.870321, Time  0.267183
2021-09-16 20:00:40.879989 : Epoch 10, Batch   1049, Loss  0.877046, Average Loss  0.870314, Time  0.267040
2021-09-16 20:00:43.956203 : Epoch 10, Batch   1050, Loss  0.865719, Average Loss  0.870344, Time  0.266607
2021-09-16 20:00:47.049340 : Epoch 10, Batch   1051, Loss  0.884984, Average Loss  0.870427, Time  0.275765
2021-09-16 20:00:50.122372 : Epoch 10, Batch   1052, Loss  0.844489, Average Loss  0.870279, Time  0.267974
2021-09-16 20:00:53.194167 : Epoch 10, Batch   1053, Loss  0.873884, Average Loss  0.870350, Time  0.267652
2021-09-16 20:00:56.275302 : Epoch 10, Batch   1054, Loss  0.876015, Average Loss  0.870355, Time  0.267371
2021-09-16 20:00:59.363445 : Epoch 10, Batch   1055, Loss  0.873262, Average Loss  0.870329, Time  0.268818
2021-09-16 20:01:02.454398 : Epoch 10, Batch   1056, Loss  0.867705, Average Loss  0.870282, Time  0.267797
2021-09-16 20:01:05.533363 : Epoch 10, Batch   1057, Loss  0.907234, Average Loss  0.870518, Time  0.267017
2021-09-16 20:01:08.627354 : Epoch 10, Batch   1058, Loss  0.885807, Average Loss  0.870586, Time  0.265700
2021-09-16 20:01:11.703136 : Epoch 10, Batch   1059, Loss  0.860822, Average Loss  0.870537, Time  0.265125
2021-09-16 20:01:14.765358 : Epoch 10, Batch   1060, Loss  0.860597, Average Loss  0.870514, Time  0.265527
2021-09-16 20:01:17.841832 : Epoch 10, Batch   1061, Loss  0.868457, Average Loss  0.870472, Time  0.269131
2021-09-16 20:01:20.903863 : Epoch 10, Batch   1062, Loss  0.876551, Average Loss  0.870393, Time  0.265556
2021-09-16 20:01:23.963947 : Epoch 10, Batch   1063, Loss  0.865778, Average Loss  0.870381, Time  0.265613
2021-09-16 20:01:27.016888 : Epoch 10, Batch   1064, Loss  0.881298, Average Loss  0.870408, Time  0.266062
2021-09-16 20:01:30.092944 : Epoch 10, Batch   1065, Loss  0.889180, Average Loss  0.870484, Time  0.265510
2021-09-16 20:01:31.929680 : CheckPoint: Validation Loss  0.00030523, Best Loss  0.00029207
2021-09-16 20:01:33.164607 : Epoch 10, Batch   1066, Loss  0.867010, Average Loss  0.870482, Time  0.274438
2021-09-16 20:01:34.477779 : Epoch  9, Batch    153, Loss  0.848273, Average Loss  0.867025, Time  0.239533
2021-09-16 20:01:36.229889 : Epoch 10, Batch   1067, Loss  0.865435, Average Loss  0.870427, Time  0.271484
2021-09-16 20:01:37.012026 : Epoch  9, Batch    154, Loss  0.853915, Average Loss  0.867014, Time  0.237465
2021-09-16 20:01:39.314110 : Epoch 10, Batch   1068, Loss  0.880409, Average Loss  0.870495, Time  0.265775
2021-09-16 20:01:39.554201 : Epoch  9, Batch    155, Loss  0.859710, Average Loss  0.866914, Time  0.237498
2021-09-16 20:01:42.089960 : Epoch  9, Batch    156, Loss  0.877190, Average Loss  0.866868, Time  0.238030
2021-09-16 20:01:42.370940 : Epoch 10, Batch   1069, Loss  0.868630, Average Loss  0.870493, Time  0.265495
2021-09-16 20:01:44.629919 : Epoch  9, Batch    157, Loss  0.853509, Average Loss  0.866852, Time  0.237246
2021-09-16 20:01:45.406284 : Epoch 10, Batch   1070, Loss  0.871643, Average Loss  0.870576, Time  0.264949
2021-09-16 20:01:47.164915 : Epoch  9, Batch    158, Loss  0.865679, Average Loss  0.866867, Time  0.237381
2021-09-16 20:01:48.470250 : Epoch 10, Batch   1071, Loss  0.869691, Average Loss  0.870552, Time  0.265169
2021-09-16 20:01:49.707840 : Epoch  9, Batch    159, Loss  0.872492, Average Loss  0.866981, Time  0.237842
2021-09-16 20:01:51.572207 : Epoch 10, Batch   1072, Loss  0.878793, Average Loss  0.870624, Time  0.265039
2021-09-16 20:01:52.251235 : Epoch  9, Batch    160, Loss  0.866771, Average Loss  0.866960, Time  0.237957
2021-09-16 20:01:54.630057 : Epoch 10, Batch   1073, Loss  0.866003, Average Loss  0.870669, Time  0.264962
2021-09-16 20:01:54.791751 : Epoch  9, Batch    161, Loss  0.868269, Average Loss  0.866963, Time  0.237189
2021-09-16 20:01:57.326168 : Epoch  9, Batch    162, Loss  0.854363, Average Loss  0.866979, Time  0.237342
2021-09-16 20:01:57.714731 : Epoch 10, Batch   1074, Loss  0.882426, Average Loss  0.870752, Time  0.266095
2021-09-16 20:01:59.862992 : Epoch  9, Batch    163, Loss  0.863396, Average Loss  0.866873, Time  0.237591
2021-09-16 20:02:00.748832 : Epoch 10, Batch   1075, Loss  0.864815, Average Loss  0.870742, Time  0.265036
2021-09-16 20:02:02.398193 : Epoch  9, Batch    164, Loss  0.868698, Average Loss  0.866798, Time  0.237435
2021-09-16 20:02:03.820388 : Epoch 10, Batch   1076, Loss  0.845722, Average Loss  0.870676, Time  0.264406
2021-09-16 20:02:04.934106 : Epoch  9, Batch    165, Loss  0.869886, Average Loss  0.866869, Time  0.237739
2021-09-16 20:02:06.899987 : Epoch 10, Batch   1077, Loss  0.867428, Average Loss  0.870673, Time  0.265645
2021-09-16 20:02:07.470928 : Epoch  9, Batch    166, Loss  0.840482, Average Loss  0.866740, Time  0.237268
2021-09-16 20:02:10.001894 : Epoch 10, Batch   1078, Loss  0.873052, Average Loss  0.870548, Time  0.264449
2021-09-16 20:02:10.014718 : Epoch  9, Batch    167, Loss  0.833396, Average Loss  0.866500, Time  0.237830
2021-09-16 20:02:12.559000 : Epoch  9, Batch    168, Loss  0.864080, Average Loss  0.866393, Time  0.237688
2021-09-16 20:02:13.069772 : Epoch 10, Batch   1079, Loss  0.851116, Average Loss  0.870411, Time  0.264787
2021-09-16 20:02:15.104284 : Epoch  9, Batch    169, Loss  0.854175, Average Loss  0.866263, Time  0.237737
2021-09-16 20:02:16.129984 : Epoch 10, Batch   1080, Loss  0.851935, Average Loss  0.870311, Time  0.265288
2021-09-16 20:02:17.637080 : Epoch  9, Batch    170, Loss  0.865264, Average Loss  0.866246, Time  0.237545
2021-09-16 20:02:19.209719 : Epoch 10, Batch   1081, Loss  0.890629, Average Loss  0.870432, Time  0.278418
2021-09-16 20:02:20.182043 : Epoch  9, Batch    171, Loss  0.854430, Average Loss  0.866200, Time  0.237602
2021-09-16 20:02:22.283089 : Epoch 10, Batch   1082, Loss  0.853066, Average Loss  0.870267, Time  0.266162
2021-09-16 20:02:22.725944 : Epoch  9, Batch    172, Loss  0.885344, Average Loss  0.866235, Time  0.237669
2021-09-16 20:02:25.268985 : Epoch  9, Batch    173, Loss  0.866316, Average Loss  0.866194, Time  0.237997
2021-09-16 20:02:25.345800 : Epoch 10, Batch   1083, Loss  0.876923, Average Loss  0.870280, Time  0.265983
2021-09-16 20:02:26.515687 : Epoch  9, Batch    174, Loss  0.856753, Average Loss  0.866232, Time  0.139947
2021-09-16 20:02:28.427690 : Epoch 10, Batch   1084, Loss  0.869032, Average Loss  0.870275, Time  0.264871
2021-09-16 20:02:29.063971 : Epoch  9, Batch    175, Loss  0.865909, Average Loss  0.866221, Time  0.237737
2021-09-16 20:02:31.485803 : Epoch 10, Batch   1085, Loss  0.853907, Average Loss  0.870241, Time  0.265091
2021-09-16 20:02:31.604677 : Epoch  9, Batch    176, Loss  0.870245, Average Loss  0.866284, Time  0.237391
2021-09-16 20:02:34.155709 : Epoch  9, Batch    177, Loss  0.870367, Average Loss  0.866305, Time  0.237618
2021-09-16 20:02:34.546164 : Epoch 10, Batch   1086, Loss  0.862105, Average Loss  0.870203, Time  0.265564
2021-09-16 20:02:36.693689 : Epoch  9, Batch    178, Loss  0.862155, Average Loss  0.866225, Time  0.237302
2021-09-16 20:02:37.607021 : Epoch 10, Batch   1087, Loss  0.866045, Average Loss  0.870193, Time  0.265036
2021-09-16 20:02:39.241752 : Epoch  9, Batch    179, Loss  0.883892, Average Loss  0.866438, Time  0.237727
2021-09-16 20:02:40.689018 : Epoch 10, Batch   1088, Loss  0.890371, Average Loss  0.870351, Time  0.266993
2021-09-16 20:02:41.786860 : Epoch  9, Batch    180, Loss  0.856058, Average Loss  0.866340, Time  0.237752
2021-09-16 20:02:43.779733 : Epoch 10, Batch   1089, Loss  0.856547, Average Loss  0.870294, Time  0.264634
2021-09-16 20:02:44.330932 : Epoch  9, Batch    181, Loss  0.849191, Average Loss  0.866281, Time  0.237559
2021-09-16 20:02:46.838794 : Epoch 10, Batch   1090, Loss  0.842612, Average Loss  0.870199, Time  0.264783
2021-09-16 20:02:46.874015 : Epoch  9, Batch    182, Loss  0.859870, Average Loss  0.866281, Time  0.237485
2021-09-16 20:02:49.413051 : Epoch  9, Batch    183, Loss  0.865870, Average Loss  0.866296, Time  0.237598
2021-09-16 20:02:49.904328 : Epoch 10, Batch   1091, Loss  0.896533, Average Loss  0.870303, Time  0.269963
2021-09-16 20:02:51.968140 : Epoch  9, Batch    184, Loss  0.891933, Average Loss  0.866493, Time  0.238281
2021-09-16 20:02:52.950924 : Epoch 10, Batch   1092, Loss  0.874442, Average Loss  0.870298, Time  0.267904
2021-09-16 20:02:54.512898 : Epoch  9, Batch    185, Loss  0.865901, Average Loss  0.866462, Time  0.237357
2021-09-16 20:02:56.012755 : Epoch 10, Batch   1093, Loss  0.858670, Average Loss  0.870250, Time  0.265080
2021-09-16 20:02:57.062890 : Epoch  9, Batch    186, Loss  0.863036, Average Loss  0.866544, Time  0.237788
2021-09-16 20:02:59.086794 : Epoch 10, Batch   1094, Loss  0.863615, Average Loss  0.870231, Time  0.264834
2021-09-16 20:02:59.607129 : Epoch  9, Batch    187, Loss  0.852422, Average Loss  0.866434, Time  0.237513
2021-09-16 20:03:02.147926 : Epoch 10, Batch   1095, Loss  0.864793, Average Loss  0.870311, Time  0.265547
2021-09-16 20:03:02.156293 : Epoch  9, Batch    188, Loss  0.862966, Average Loss  0.866361, Time  0.237732
2021-09-16 20:03:04.724892 : Epoch  9, Batch    189, Loss  0.851997, Average Loss  0.866254, Time  0.237587
2021-09-16 20:03:05.207358 : Epoch 10, Batch   1096, Loss  0.869083, Average Loss  0.870315, Time  0.276628
2021-09-16 20:03:07.271058 : Epoch  9, Batch    190, Loss  0.867491, Average Loss  0.866277, Time  0.238169
2021-09-16 20:03:09.812154 : Epoch  9, Batch    191, Loss  0.866630, Average Loss  0.866261, Time  0.237455
2021-09-16 20:03:12.356878 : Epoch  9, Batch    192, Loss  0.854607, Average Loss  0.866036, Time  0.238074
2021-09-16 20:03:14.909890 : Epoch  9, Batch    193, Loss  0.875118, Average Loss  0.866123, Time  0.238418
2021-09-16 20:03:17.458711 : Epoch  9, Batch    194, Loss  0.855726, Average Loss  0.866078, Time  0.237556
2021-09-16 20:03:20.006702 : Epoch  9, Batch    195, Loss  0.846415, Average Loss  0.865948, Time  0.237269
2021-09-16 20:03:22.560667 : Epoch  9, Batch    196, Loss  0.869901, Average Loss  0.865828, Time  0.237868
2021-09-16 20:03:25.099055 : Epoch  9, Batch    197, Loss  0.845711, Average Loss  0.865846, Time  0.237474
2021-09-16 20:03:27.646020 : Epoch  9, Batch    198, Loss  0.873062, Average Loss  0.865847, Time  0.237896
2021-09-16 20:03:30.188149 : Epoch  9, Batch    199, Loss  0.861365, Average Loss  0.865748, Time  0.237548
2021-09-16 20:03:32.726923 : Epoch  9, Batch    200, Loss  0.848381, Average Loss  0.865581, Time  0.237500
2021-09-16 20:03:35.274054 : Epoch  9, Batch    201, Loss  0.849214, Average Loss  0.865463, Time  0.237846
2021-09-16 20:03:37.819880 : Epoch  9, Batch    202, Loss  0.862773, Average Loss  0.865516, Time  0.237732
2021-09-16 20:03:40.356274 : Epoch  9, Batch    203, Loss  0.870480, Average Loss  0.865615, Time  0.237297
2021-09-16 20:03:42.899013 : Epoch  9, Batch    204, Loss  0.848351, Average Loss  0.865558, Time  0.238251
2021-09-16 20:03:45.441238 : Epoch  9, Batch    205, Loss  0.856333, Average Loss  0.865546, Time  0.237917
2021-09-16 20:03:47.979957 : Epoch  9, Batch    206, Loss  0.854368, Average Loss  0.865481, Time  0.237450
2021-09-16 20:03:50.520942 : Epoch  9, Batch    207, Loss  0.880643, Average Loss  0.865534, Time  0.238658
2021-09-16 20:03:53.070809 : Epoch  9, Batch    208, Loss  0.848972, Average Loss  0.865471, Time  0.237709
2021-09-16 20:03:55.619942 : Epoch  9, Batch    209, Loss  0.855265, Average Loss  0.865509, Time  0.238575
2021-09-16 20:03:58.160028 : Epoch  9, Batch    210, Loss  0.854751, Average Loss  0.865479, Time  0.237233
2021-09-16 20:04:00.703815 : Epoch  9, Batch    211, Loss  0.860720, Average Loss  0.865467, Time  0.237583
2021-09-16 20:04:03.249031 : Epoch  9, Batch    212, Loss  0.866335, Average Loss  0.865386, Time  0.237480
2021-09-16 20:04:05.791020 : Epoch  9, Batch    213, Loss  0.862454, Average Loss  0.865381, Time  0.237812
2021-09-16 20:04:08.340725 : Epoch  9, Batch    214, Loss  0.876082, Average Loss  0.865384, Time  0.237992
2021-09-16 20:04:10.887006 : Epoch  9, Batch    215, Loss  0.845210, Average Loss  0.865289, Time  0.237537
2021-09-16 20:04:13.429009 : Epoch  9, Batch    216, Loss  0.855148, Average Loss  0.865226, Time  0.237509
2021-09-16 20:04:15.987189 : Epoch  9, Batch    217, Loss  0.854029, Average Loss  0.865092, Time  0.238069
2021-09-16 20:04:18.529757 : Epoch  9, Batch    218, Loss  0.875168, Average Loss  0.865143, Time  0.237627
2021-09-16 20:04:21.073086 : Epoch  9, Batch    219, Loss  0.874679, Average Loss  0.865146, Time  0.237648
2021-09-16 20:04:23.615864 : Epoch  9, Batch    220, Loss  0.849982, Average Loss  0.865067, Time  0.237555
2021-09-16 20:04:26.157985 : Epoch  9, Batch    221, Loss  0.840529, Average Loss  0.864851, Time  0.237798
2021-09-16 20:04:28.723896 : Epoch  9, Batch    222, Loss  0.857856, Average Loss  0.864803, Time  0.237706
2021-09-16 20:04:31.269856 : Epoch  9, Batch    223, Loss  0.882438, Average Loss  0.864883, Time  0.237703
2021-09-16 20:04:33.804237 : Epoch  9, Batch    224, Loss  0.853923, Average Loss  0.864781, Time  0.237502
2021-09-16 20:04:36.354145 : Epoch  9, Batch    225, Loss  0.863149, Average Loss  0.864774, Time  0.237708
2021-09-16 20:04:38.898179 : Epoch  9, Batch    226, Loss  0.862826, Average Loss  0.864817, Time  0.237470
2021-09-16 20:04:41.449185 : Epoch  9, Batch    227, Loss  0.842289, Average Loss  0.864600, Time  0.237801
2021-09-16 20:04:43.995826 : Epoch  9, Batch    228, Loss  0.860997, Average Loss  0.864554, Time  0.237808
2021-09-16 20:04:46.542167 : Epoch  9, Batch    229, Loss  0.876509, Average Loss  0.864677, Time  0.238098
2021-09-16 20:04:49.081100 : Epoch  9, Batch    230, Loss  0.858604, Average Loss  0.864701, Time  0.238500
2021-09-16 20:04:51.628690 : Epoch  9, Batch    231, Loss  0.847089, Average Loss  0.864666, Time  0.238766
2021-09-16 20:04:54.175800 : Epoch  9, Batch    232, Loss  0.854848, Average Loss  0.864607, Time  0.237771
2021-09-16 20:04:56.756145 : Epoch  9, Batch    233, Loss  0.855047, Average Loss  0.864433, Time  0.237594
2021-09-16 20:04:59.296723 : Epoch  9, Batch    234, Loss  0.862786, Average Loss  0.864440, Time  0.237445
2021-09-16 20:05:01.840911 : Epoch  9, Batch    235, Loss  0.857321, Average Loss  0.864419, Time  0.238349
2021-09-16 20:05:04.383696 : Epoch  9, Batch    236, Loss  0.860606, Average Loss  0.864383, Time  0.237420
2021-09-16 20:05:06.925023 : Epoch  9, Batch    237, Loss  0.852214, Average Loss  0.864311, Time  0.237828
2021-09-16 20:05:09.471695 : Epoch  9, Batch    238, Loss  0.865469, Average Loss  0.864315, Time  0.237567
2021-09-16 20:05:12.010089 : Epoch  9, Batch    239, Loss  0.838862, Average Loss  0.864175, Time  0.238116
2021-09-16 20:05:14.548696 : Epoch  9, Batch    240, Loss  0.872376, Average Loss  0.864235, Time  0.237447
2021-09-16 20:05:17.084969 : Epoch  9, Batch    241, Loss  0.863723, Average Loss  0.864243, Time  0.237909
2021-09-16 20:05:19.622883 : Epoch  9, Batch    242, Loss  0.857385, Average Loss  0.863970, Time  0.237627
2021-09-16 20:05:22.162843 : Epoch  9, Batch    243, Loss  0.855199, Average Loss  0.863979, Time  0.238266
2021-09-16 20:05:24.705894 : Epoch  9, Batch    244, Loss  0.862862, Average Loss  0.864048, Time  0.237555
2021-09-16 20:05:27.236026 : Epoch  9, Batch    245, Loss  0.861851, Average Loss  0.864004, Time  0.237941
2021-09-16 20:05:29.774945 : Epoch  9, Batch    246, Loss  0.846927, Average Loss  0.863820, Time  0.237458
2021-09-16 20:05:32.314161 : Epoch  9, Batch    247, Loss  0.865775, Average Loss  0.863789, Time  0.237653
2021-09-16 20:05:34.857736 : Epoch  9, Batch    248, Loss  0.866379, Average Loss  0.863789, Time  0.237803
2021-09-16 20:05:37.393985 : Epoch  9, Batch    249, Loss  0.843092, Average Loss  0.863694, Time  0.237756
2021-09-16 20:05:39.935947 : Epoch  9, Batch    250, Loss  0.849000, Average Loss  0.863556, Time  0.237468
2021-09-16 20:05:42.493818 : Epoch  9, Batch    251, Loss  0.847738, Average Loss  0.863536, Time  0.237704
2021-09-16 20:05:45.034598 : Epoch  9, Batch    252, Loss  0.874183, Average Loss  0.863556, Time  0.238053
2021-09-16 20:07:47.415924 : CheckPoint: Validation Loss  0.00030231, Best Loss  0.00029014
2021-09-16 20:07:50.484324 : Epoch 10, Batch   1097, Loss  0.872860, Average Loss  0.870465, Time  0.277024
2021-09-16 20:07:53.546221 : Epoch 10, Batch   1098, Loss  0.851631, Average Loss  0.870321, Time  0.265407
2021-09-16 20:07:56.619759 : Epoch 10, Batch   1099, Loss  0.850551, Average Loss  0.870231, Time  0.265081
2021-09-16 20:07:59.687235 : Epoch 10, Batch   1100, Loss  0.846025, Average Loss  0.870084, Time  0.264585
2021-09-16 20:08:02.756032 : Epoch 10, Batch   1101, Loss  0.872810, Average Loss  0.870137, Time  0.266226
2021-09-16 20:08:05.821772 : Epoch 10, Batch   1102, Loss  0.892877, Average Loss  0.870204, Time  0.265688
2021-09-16 20:08:08.877790 : Epoch 10, Batch   1103, Loss  0.869524, Average Loss  0.870180, Time  0.265554
2021-09-16 20:08:11.930110 : Epoch 10, Batch   1104, Loss  0.866549, Average Loss  0.870081, Time  0.265244
2021-09-16 20:08:14.990398 : Epoch 10, Batch   1105, Loss  0.884008, Average Loss  0.870190, Time  0.265714
2021-09-16 20:08:18.053297 : Epoch 10, Batch   1106, Loss  0.869720, Average Loss  0.870170, Time  0.265363
2021-09-16 20:08:21.103859 : Epoch 10, Batch   1107, Loss  0.866925, Average Loss  0.870092, Time  0.264990
2021-09-16 20:08:24.175398 : Epoch 10, Batch   1108, Loss  0.886385, Average Loss  0.870272, Time  0.271477
2021-09-16 20:08:27.229219 : Epoch 10, Batch   1109, Loss  0.857053, Average Loss  0.870152, Time  0.265091
2021-09-16 20:08:30.286170 : Epoch 10, Batch   1110, Loss  0.866203, Average Loss  0.870080, Time  0.264748
2021-09-16 20:08:33.350636 : Epoch 10, Batch   1111, Loss  0.853645, Average Loss  0.870087, Time  0.264578
2021-09-16 20:08:36.413448 : Epoch 10, Batch   1112, Loss  0.893254, Average Loss  0.870209, Time  0.265169
2021-09-16 20:08:39.494086 : Epoch 10, Batch   1113, Loss  0.864426, Average Loss  0.870228, Time  0.264569
2021-09-16 20:08:42.544788 : Epoch 10, Batch   1114, Loss  0.867262, Average Loss  0.870250, Time  0.265098
2021-09-16 20:08:45.607931 : Epoch 10, Batch   1115, Loss  0.847620, Average Loss  0.870099, Time  0.265017
2021-09-16 20:08:48.659575 : Epoch 10, Batch   1116, Loss  0.843449, Average Loss  0.869933, Time  0.265452
2021-09-16 20:08:51.729381 : Epoch 10, Batch   1117, Loss  0.871195, Average Loss  0.869832, Time  0.265587
2021-09-16 20:08:54.797245 : Epoch 10, Batch   1118, Loss  0.856176, Average Loss  0.869743, Time  0.264756
2021-09-16 20:08:57.861123 : Epoch 10, Batch   1119, Loss  0.873727, Average Loss  0.869766, Time  0.264796
2021-09-16 20:09:00.925568 : Epoch 10, Batch   1120, Loss  0.877046, Average Loss  0.869798, Time  0.267857
2021-09-16 20:09:04.010968 : Epoch 10, Batch   1121, Loss  0.848386, Average Loss  0.869754, Time  0.265287
2021-09-16 20:09:07.082868 : Epoch 10, Batch   1122, Loss  0.874590, Average Loss  0.869605, Time  0.265688
2021-09-16 20:09:10.157652 : Epoch 10, Batch   1123, Loss  0.868207, Average Loss  0.869705, Time  0.278323
2021-09-16 20:09:13.234780 : Epoch 10, Batch   1124, Loss  0.849792, Average Loss  0.869673, Time  0.265656
2021-09-16 20:09:16.304278 : Epoch 10, Batch   1125, Loss  0.850454, Average Loss  0.869733, Time  0.265325
2021-09-16 20:09:19.366253 : Epoch 10, Batch   1126, Loss  0.866090, Average Loss  0.869742, Time  0.265006
2021-09-16 20:09:22.437295 : Epoch 10, Batch   1127, Loss  0.848864, Average Loss  0.869589, Time  0.264839
2021-09-16 20:09:25.509553 : Epoch 10, Batch   1128, Loss  0.868560, Average Loss  0.869640, Time  0.264855
2021-09-16 20:09:28.572910 : Epoch 10, Batch   1129, Loss  0.863608, Average Loss  0.869566, Time  0.264966
2021-09-16 20:09:31.627988 : Epoch 10, Batch   1130, Loss  0.871792, Average Loss  0.869688, Time  0.266189
2021-09-16 20:09:34.691303 : Epoch 10, Batch   1131, Loss  0.881233, Average Loss  0.869804, Time  0.265714
2021-09-16 20:09:37.758140 : Epoch 10, Batch   1132, Loss  0.886127, Average Loss  0.869853, Time  0.264382
2021-09-16 20:09:40.743674 : CheckPoint: Validation Loss  0.00029879, Best Loss  0.00029207
2021-09-16 20:09:40.819335 : Epoch 10, Batch   1133, Loss  0.875303, Average Loss  0.869848, Time  0.265557
2021-09-16 20:09:43.298923 : Epoch  9, Batch    253, Loss  0.856568, Average Loss  0.863511, Time  0.237447
2021-09-16 20:09:43.884896 : Epoch 10, Batch   1134, Loss  0.884421, Average Loss  0.869892, Time  0.264795
2021-09-16 20:09:45.861098 : Epoch  9, Batch    254, Loss  0.866276, Average Loss  0.863557, Time  0.237438
2021-09-16 20:09:46.948549 : Epoch 10, Batch   1135, Loss  0.887909, Average Loss  0.869891, Time  0.265234
2021-09-16 20:09:48.420960 : Epoch  9, Batch    255, Loss  0.847617, Average Loss  0.863489, Time  0.237477
2021-09-16 20:09:50.013812 : Epoch 10, Batch   1136, Loss  0.870632, Average Loss  0.869957, Time  0.265446
2021-09-16 20:09:50.984165 : Epoch  9, Batch    256, Loss  0.866318, Average Loss  0.863522, Time  0.237418
2021-09-16 20:09:53.080796 : Epoch 10, Batch   1137, Loss  0.868446, Average Loss  0.869854, Time  0.264944
2021-09-16 20:09:53.527967 : Epoch  9, Batch    257, Loss  0.884549, Average Loss  0.863703, Time  0.237841
2021-09-16 20:09:56.068699 : Epoch  9, Batch    258, Loss  0.857005, Average Loss  0.863645, Time  0.237733
2021-09-16 20:09:56.179120 : Epoch 10, Batch   1138, Loss  0.886178, Average Loss  0.869965, Time  0.276644
2021-09-16 20:09:58.620964 : Epoch  9, Batch    259, Loss  0.852726, Average Loss  0.863571, Time  0.237853
2021-09-16 20:09:59.218920 : Epoch 10, Batch   1139, Loss  0.866883, Average Loss  0.869980, Time  0.265964
2021-09-16 20:10:01.171301 : Epoch  9, Batch    260, Loss  0.853758, Average Loss  0.863573, Time  0.237345
2021-09-16 20:10:02.279901 : Epoch 10, Batch   1140, Loss  0.872897, Average Loss  0.869896, Time  0.265446
2021-09-16 20:10:03.723753 : Epoch  9, Batch    261, Loss  0.850597, Average Loss  0.863457, Time  0.237800
2021-09-16 20:10:05.368221 : Epoch 10, Batch   1141, Loss  0.850281, Average Loss  0.869791, Time  0.265739
2021-09-16 20:10:06.276155 : Epoch  9, Batch    262, Loss  0.859749, Average Loss  0.863477, Time  0.237406
2021-09-16 20:10:08.440966 : Epoch 10, Batch   1142, Loss  0.864067, Average Loss  0.869841, Time  0.264909
2021-09-16 20:10:08.825838 : Epoch  9, Batch    263, Loss  0.859277, Average Loss  0.863372, Time  0.237881
2021-09-16 20:10:11.358941 : Epoch  9, Batch    264, Loss  0.851134, Average Loss  0.863298, Time  0.237362
2021-09-16 20:10:11.511657 : Epoch 10, Batch   1143, Loss  0.871402, Average Loss  0.869865, Time  0.265288
2021-09-16 20:10:13.948076 : Epoch  9, Batch    265, Loss  0.874989, Average Loss  0.863390, Time  0.245494
2021-09-16 20:10:14.548088 : Epoch 10, Batch   1144, Loss  0.862236, Average Loss  0.869721, Time  0.268380
2021-09-16 20:10:16.515670 : Epoch  9, Batch    266, Loss  0.863740, Average Loss  0.863413, Time  0.237950
2021-09-16 20:10:17.612802 : Epoch 10, Batch   1145, Loss  0.874562, Average Loss  0.869604, Time  0.265122
2021-09-16 20:10:19.070138 : Epoch  9, Batch    267, Loss  0.856479, Average Loss  0.863271, Time  0.237687
2021-09-16 20:10:20.681911 : Epoch 10, Batch   1146, Loss  0.848853, Average Loss  0.869582, Time  0.265766
2021-09-16 20:10:21.620973 : Epoch  9, Batch    268, Loss  0.845960, Average Loss  0.863137, Time  0.237703
2021-09-16 20:10:23.766422 : Epoch 10, Batch   1147, Loss  0.866090, Average Loss  0.869504, Time  0.265194
2021-09-16 20:10:24.208981 : Epoch  9, Batch    269, Loss  0.850976, Average Loss  0.863074, Time  0.257772
2021-09-16 20:10:26.760822 : Epoch  9, Batch    270, Loss  0.851539, Average Loss  0.863055, Time  0.237765
2021-09-16 20:10:26.825302 : Epoch 10, Batch   1148, Loss  0.859364, Average Loss  0.869511, Time  0.264554
2021-09-16 20:10:29.314868 : Epoch  9, Batch    271, Loss  0.858451, Average Loss  0.863047, Time  0.238022
2021-09-16 20:10:29.894755 : Epoch 10, Batch   1149, Loss  0.876654, Average Loss  0.869544, Time  0.265473
2021-09-16 20:10:31.886760 : Epoch  9, Batch    272, Loss  0.852058, Average Loss  0.862943, Time  0.237711
2021-09-16 20:10:32.965900 : Epoch 10, Batch   1150, Loss  0.870282, Average Loss  0.869493, Time  0.265006
2021-09-16 20:10:34.437889 : Epoch  9, Batch    273, Loss  0.847791, Average Loss  0.862820, Time  0.237638
2021-09-16 20:10:36.027516 : Epoch 10, Batch   1151, Loss  0.863120, Average Loss  0.869456, Time  0.265457
2021-09-16 20:10:36.987011 : Epoch  9, Batch    274, Loss  0.871830, Average Loss  0.862798, Time  0.237651
2021-09-16 20:10:39.089872 : Epoch 10, Batch   1152, Loss  0.879403, Average Loss  0.869432, Time  0.265837
2021-09-16 20:10:39.537890 : Epoch  9, Batch    275, Loss  0.874140, Average Loss  0.862951, Time  0.237505
2021-09-16 20:10:42.078694 : Epoch  9, Batch    276, Loss  0.863345, Average Loss  0.862879, Time  0.237854
2021-09-16 20:10:42.160673 : Epoch 10, Batch   1153, Loss  0.879555, Average Loss  0.869591, Time  0.275345
2021-09-16 20:10:44.635930 : Epoch  9, Batch    277, Loss  0.850642, Average Loss  0.862769, Time  0.237643
2021-09-16 20:10:45.221841 : Epoch 10, Batch   1154, Loss  0.888783, Average Loss  0.869655, Time  0.266009
2021-09-16 20:10:47.180934 : Epoch  9, Batch    278, Loss  0.879945, Average Loss  0.862854, Time  0.237769
2021-09-16 20:10:48.284800 : Epoch 10, Batch   1155, Loss  0.874174, Average Loss  0.869634, Time  0.265085
2021-09-16 20:10:49.731909 : Epoch  9, Batch    279, Loss  0.823346, Average Loss  0.862631, Time  0.237503
2021-09-16 20:10:51.353982 : Epoch 10, Batch   1156, Loss  0.860496, Average Loss  0.869651, Time  0.265211
2021-09-16 20:10:52.280925 : Epoch  9, Batch    280, Loss  0.856199, Average Loss  0.862603, Time  0.237381
2021-09-16 20:10:54.409937 : Epoch 10, Batch   1157, Loss  0.882700, Average Loss  0.869729, Time  0.264999
2021-09-16 20:10:54.825979 : Epoch  9, Batch    281, Loss  0.862576, Average Loss  0.862633, Time  0.237707
2021-09-16 20:10:57.370907 : Epoch  9, Batch    282, Loss  0.853642, Average Loss  0.862585, Time  0.237496
2021-09-16 20:10:57.470272 : Epoch 10, Batch   1158, Loss  0.866607, Average Loss  0.869671, Time  0.265603
2021-09-16 20:10:59.921883 : Epoch  9, Batch    283, Loss  0.867497, Average Loss  0.862484, Time  0.237400
2021-09-16 20:11:00.529268 : Epoch 10, Batch   1159, Loss  0.850030, Average Loss  0.869545, Time  0.265900
2021-09-16 20:11:02.467838 : Epoch  9, Batch    284, Loss  0.868268, Average Loss  0.862513, Time  0.237420
2021-09-16 20:11:03.576615 : Epoch 10, Batch   1160, Loss  0.885297, Average Loss  0.869602, Time  0.264566
2021-09-16 20:11:05.021671 : Epoch  9, Batch    285, Loss  0.878541, Average Loss  0.862692, Time  0.237301
2021-09-16 20:11:06.638737 : Epoch 10, Batch   1161, Loss  0.880237, Average Loss  0.869691, Time  0.265052
2021-09-16 20:11:07.571915 : Epoch  9, Batch    286, Loss  0.859600, Average Loss  0.862683, Time  0.237427
2021-09-16 20:11:09.707179 : Epoch 10, Batch   1162, Loss  0.869111, Average Loss  0.869726, Time  0.265627
2021-09-16 20:11:10.128685 : Epoch  9, Batch    287, Loss  0.857271, Average Loss  0.862691, Time  0.237505
2021-09-16 20:11:12.674896 : Epoch  9, Batch    288, Loss  0.862102, Average Loss  0.862698, Time  0.237324
2021-09-16 20:11:12.773955 : Epoch 10, Batch   1163, Loss  0.863861, Average Loss  0.869624, Time  0.265203
2021-09-16 20:11:15.231017 : Epoch  9, Batch    289, Loss  0.859254, Average Loss  0.862661, Time  0.237773
2021-09-16 20:11:15.835479 : Epoch 10, Batch   1164, Loss  0.856053, Average Loss  0.869632, Time  0.265638
2021-09-16 20:11:17.775818 : Epoch  9, Batch    290, Loss  0.866651, Average Loss  0.862617, Time  0.237544
2021-09-16 20:11:18.908768 : Epoch 10, Batch   1165, Loss  0.872649, Average Loss  0.869551, Time  0.266033
2021-09-16 20:11:20.327921 : Epoch  9, Batch    291, Loss  0.843896, Average Loss  0.862367, Time  0.238456
2021-09-16 20:11:21.978121 : Epoch 10, Batch   1166, Loss  0.884762, Average Loss  0.869718, Time  0.265441
2021-09-16 20:11:22.876758 : Epoch  9, Batch    292, Loss  0.855299, Average Loss  0.862313, Time  0.237917
2021-09-16 20:11:25.026325 : Epoch 10, Batch   1167, Loss  0.860886, Average Loss  0.869738, Time  0.266819
2021-09-16 20:11:25.425202 : Epoch  9, Batch    293, Loss  0.877097, Average Loss  0.862245, Time  0.237655
2021-09-16 20:11:27.968156 : Epoch  9, Batch    294, Loss  0.878695, Average Loss  0.862236, Time  0.237641
2021-09-16 20:11:28.105314 : Epoch 10, Batch   1168, Loss  0.842725, Average Loss  0.869623, Time  0.275303
2021-09-16 20:11:30.524790 : Epoch  9, Batch    295, Loss  0.865452, Average Loss  0.862167, Time  0.237770
2021-09-16 20:11:31.158493 : Epoch 10, Batch   1169, Loss  0.862676, Average Loss  0.869627, Time  0.265497
2021-09-16 20:11:33.081827 : Epoch  9, Batch    296, Loss  0.856644, Average Loss  0.862003, Time  0.237326
2021-09-16 20:11:34.234874 : Epoch 10, Batch   1170, Loss  0.871074, Average Loss  0.869712, Time  0.265398
2021-09-16 20:11:35.638338 : Epoch  9, Batch    297, Loss  0.848647, Average Loss  0.861961, Time  0.237711
2021-09-16 20:11:37.304041 : Epoch 10, Batch   1171, Loss  0.862929, Average Loss  0.869647, Time  0.265110
2021-09-16 20:11:38.195184 : Epoch  9, Batch    298, Loss  0.850153, Average Loss  0.861842, Time  0.237550
2021-09-16 20:11:40.349021 : Epoch 10, Batch   1172, Loss  0.860377, Average Loss  0.869536, Time  0.264387
2021-09-16 20:11:40.755049 : Epoch  9, Batch    299, Loss  0.839507, Average Loss  0.861631, Time  0.237853
2021-09-16 20:11:43.297694 : Epoch  9, Batch    300, Loss  0.863550, Average Loss  0.861707, Time  0.237588
2021-09-16 20:11:43.407234 : Epoch 10, Batch   1173, Loss  0.877244, Average Loss  0.869606, Time  0.266065
2021-09-16 20:11:45.841920 : Epoch  9, Batch    301, Loss  0.865839, Average Loss  0.861664, Time  0.237871
2021-09-16 20:11:46.472170 : Epoch 10, Batch   1174, Loss  0.856692, Average Loss  0.869610, Time  0.264938
2021-09-16 20:11:48.393027 : Epoch  9, Batch    302, Loss  0.846146, Average Loss  0.861608, Time  0.237603
2021-09-16 20:11:49.519114 : Epoch 10, Batch   1175, Loss  0.839162, Average Loss  0.869573, Time  0.265567
2021-09-16 20:11:50.952949 : Epoch  9, Batch    303, Loss  0.845145, Average Loss  0.861522, Time  0.237935
2021-09-16 20:11:52.606851 : Epoch 10, Batch   1176, Loss  0.859667, Average Loss  0.869522, Time  0.265489
2021-09-16 20:11:53.520706 : Epoch  9, Batch    304, Loss  0.879632, Average Loss  0.861526, Time  0.237487
2021-09-16 20:11:55.663028 : Epoch 10, Batch   1177, Loss  0.891961, Average Loss  0.869630, Time  0.265084
2021-09-16 20:11:56.087042 : Epoch  9, Batch    305, Loss  0.872168, Average Loss  0.861719, Time  0.237417
2021-09-16 20:11:58.634697 : Epoch  9, Batch    306, Loss  0.845121, Average Loss  0.861620, Time  0.237288
2021-09-16 20:11:58.716597 : Epoch 10, Batch   1178, Loss  0.837771, Average Loss  0.869391, Time  0.265927
2021-09-16 20:12:01.181864 : Epoch  9, Batch    307, Loss  0.869007, Average Loss  0.861656, Time  0.237423
2021-09-16 20:12:01.782887 : Epoch 10, Batch   1179, Loss  0.876906, Average Loss  0.869478, Time  0.264994
2021-09-16 20:12:03.735858 : Epoch  9, Batch    308, Loss  0.863967, Average Loss  0.861538, Time  0.237661
2021-09-16 20:12:04.862387 : Epoch 10, Batch   1180, Loss  0.862177, Average Loss  0.869357, Time  0.265570
2021-09-16 20:12:06.283941 : Epoch  9, Batch    309, Loss  0.843283, Average Loss  0.861406, Time  0.237597
2021-09-16 20:12:07.927372 : Epoch 10, Batch   1181, Loss  0.860197, Average Loss  0.869335, Time  0.264893
2021-09-16 20:12:08.835916 : Epoch  9, Batch    310, Loss  0.882193, Average Loss  0.861419, Time  0.237535
2021-09-16 20:12:10.986939 : Epoch 10, Batch   1182, Loss  0.867922, Average Loss  0.869206, Time  0.265231
2021-09-16 20:12:11.381711 : Epoch  9, Batch    311, Loss  0.865639, Average Loss  0.861432, Time  0.237765
2021-09-16 20:12:13.921873 : Epoch  9, Batch    312, Loss  0.850669, Average Loss  0.861325, Time  0.237442
2021-09-16 20:12:14.050612 : Epoch 10, Batch   1183, Loss  0.870895, Average Loss  0.869192, Time  0.275406
2021-09-16 20:12:16.477715 : Epoch  9, Batch    313, Loss  0.873269, Average Loss  0.861447, Time  0.237887
2021-09-16 20:12:17.134981 : Epoch 10, Batch   1184, Loss  0.873284, Average Loss  0.869276, Time  0.266338
2021-09-16 20:12:19.028842 : Epoch  9, Batch    314, Loss  0.829909, Average Loss  0.861165, Time  0.237591
2021-09-16 20:12:20.191309 : Epoch 10, Batch   1185, Loss  0.864657, Average Loss  0.869238, Time  0.264781
2021-09-16 20:12:21.586997 : Epoch  9, Batch    315, Loss  0.879768, Average Loss  0.861174, Time  0.237940
2021-09-16 20:12:23.244209 : Epoch 10, Batch   1186, Loss  0.889392, Average Loss  0.869355, Time  0.265693
2021-09-16 20:12:24.136150 : Epoch  9, Batch    316, Loss  0.870188, Average Loss  0.861226, Time  0.237641
2021-09-16 20:12:26.307113 : Epoch 10, Batch   1187, Loss  0.867722, Average Loss  0.869296, Time  0.265690
2021-09-16 20:12:26.692909 : Epoch  9, Batch    317, Loss  0.853250, Average Loss  0.861036, Time  0.237513
2021-09-16 20:12:29.239006 : Epoch  9, Batch    318, Loss  0.867260, Average Loss  0.861056, Time  0.238049
2021-09-16 20:12:29.361300 : Epoch 10, Batch   1188, Loss  0.849515, Average Loss  0.869071, Time  0.264957
2021-09-16 20:12:31.800200 : Epoch  9, Batch    319, Loss  0.836065, Average Loss  0.860950, Time  0.237504
2021-09-16 20:12:32.454278 : Epoch 10, Batch   1189, Loss  0.877161, Average Loss  0.868902, Time  0.268703
2021-09-16 20:12:34.357383 : Epoch  9, Batch    320, Loss  0.847898, Average Loss  0.860869, Time  0.237650
2021-09-16 20:12:35.507801 : Epoch 10, Batch   1190, Loss  0.860686, Average Loss  0.868924, Time  0.265208
2021-09-16 20:12:36.907944 : Epoch  9, Batch    321, Loss  0.831914, Average Loss  0.860772, Time  0.237580
2021-09-16 20:12:38.578204 : Epoch 10, Batch   1191, Loss  0.857070, Average Loss  0.868835, Time  0.265735
2021-09-16 20:12:39.464694 : Epoch  9, Batch    322, Loss  0.817192, Average Loss  0.860556, Time  0.238137
2021-09-16 20:12:41.634323 : Epoch 10, Batch   1192, Loss  0.861488, Average Loss  0.868781, Time  0.265002
2021-09-16 20:12:42.095991 : Epoch  9, Batch    323, Loss  0.836323, Average Loss  0.860350, Time  0.237647
2021-09-16 20:12:44.657747 : Epoch  9, Batch    324, Loss  0.864237, Average Loss  0.860465, Time  0.237624
2021-09-16 20:12:44.705731 : Epoch 10, Batch   1193, Loss  0.883363, Average Loss  0.868818, Time  0.265529
2021-09-16 20:12:47.211092 : Epoch  9, Batch    325, Loss  0.849204, Average Loss  0.860355, Time  0.237733
2021-09-16 20:12:47.757996 : Epoch 10, Batch   1194, Loss  0.893301, Average Loss  0.868919, Time  0.264638
2021-09-16 20:12:49.759950 : Epoch  9, Batch    326, Loss  0.873195, Average Loss  0.860312, Time  0.237983
2021-09-16 20:12:50.830310 : Epoch 10, Batch   1195, Loss  0.877108, Average Loss  0.869023, Time  0.265827
2021-09-16 20:12:52.312152 : Epoch  9, Batch    327, Loss  0.844819, Average Loss  0.860268, Time  0.237304
2021-09-16 20:12:53.892242 : Epoch 10, Batch   1196, Loss  0.859041, Average Loss  0.868994, Time  0.265439
2021-09-16 20:12:54.861956 : Epoch  9, Batch    328, Loss  0.860777, Average Loss  0.860224, Time  0.237511
2021-09-16 20:12:57.417780 : Epoch  9, Batch    329, Loss  0.873730, Average Loss  0.860210, Time  0.237207
2021-09-16 20:12:59.970048 : Epoch  9, Batch    330, Loss  0.836035, Average Loss  0.860178, Time  0.237659
2021-09-16 20:13:02.527907 : Epoch  9, Batch    331, Loss  0.846235, Average Loss  0.860095, Time  0.237379
2021-09-16 20:13:05.083070 : Epoch  9, Batch    332, Loss  0.847645, Average Loss  0.859873, Time  0.237470
2021-09-16 20:13:07.632851 : Epoch  9, Batch    333, Loss  0.856508, Average Loss  0.859877, Time  0.237967
2021-09-16 20:13:10.178967 : Epoch  9, Batch    334, Loss  0.836809, Average Loss  0.859732, Time  0.237463
2021-09-16 20:13:12.732040 : Epoch  9, Batch    335, Loss  0.835398, Average Loss  0.859557, Time  0.237956
2021-09-16 20:13:15.282919 : Epoch  9, Batch    336, Loss  0.821107, Average Loss  0.859356, Time  0.237630
2021-09-16 20:13:17.836753 : Epoch  9, Batch    337, Loss  0.864419, Average Loss  0.859349, Time  0.237745
2021-09-16 20:13:20.381252 : Epoch  9, Batch    338, Loss  0.836431, Average Loss  0.859158, Time  0.238279
2021-09-16 20:13:22.934950 : Epoch  9, Batch    339, Loss  0.839191, Average Loss  0.859025, Time  0.237856
2021-09-16 20:13:25.486917 : Epoch  9, Batch    340, Loss  0.825858, Average Loss  0.858778, Time  0.237554
2021-09-16 20:13:28.043740 : Epoch  9, Batch    341, Loss  0.873342, Average Loss  0.858871, Time  0.237730
2021-09-16 20:13:30.590998 : Epoch  9, Batch    342, Loss  0.848732, Average Loss  0.858787, Time  0.237542
2021-09-16 20:13:33.135716 : Epoch  9, Batch    343, Loss  0.851705, Average Loss  0.858614, Time  0.238153
2021-09-16 20:13:35.685906 : Epoch  9, Batch    344, Loss  0.842363, Average Loss  0.858479, Time  0.237520
2021-09-16 20:13:38.232959 : Epoch  9, Batch    345, Loss  0.853004, Average Loss  0.858493, Time  0.237532
2021-09-16 20:13:40.784664 : Epoch  9, Batch    346, Loss  0.856513, Average Loss  0.858519, Time  0.237798
2021-09-16 20:13:43.329926 : Epoch  9, Batch    347, Loss  0.859549, Average Loss  0.858378, Time  0.237508
2021-09-16 20:13:45.880660 : Epoch  9, Batch    348, Loss  0.847360, Average Loss  0.858298, Time  0.237529
2021-09-16 20:13:48.427911 : Epoch  9, Batch    349, Loss  0.826411, Average Loss  0.858098, Time  0.237325
2021-09-16 20:13:50.973015 : Epoch  9, Batch    350, Loss  0.845500, Average Loss  0.857952, Time  0.237602
2021-09-16 20:13:53.543973 : Epoch  9, Batch    351, Loss  0.847417, Average Loss  0.857940, Time  0.238088
2021-09-16 20:13:56.093297 : Epoch  9, Batch    352, Loss  0.848731, Average Loss  0.857824, Time  0.237533
2021-09-16 20:17:35.527974 : CheckPoint: Validation Loss  0.00029494, Best Loss  0.00029014
2021-09-16 20:17:38.568007 : Epoch 10, Batch   1197, Loss  0.861724, Average Loss  0.869088, Time  0.264258
2021-09-16 20:17:41.617918 : Epoch 10, Batch   1198, Loss  0.868286, Average Loss  0.868994, Time  0.274995
2021-09-16 20:17:44.667777 : Epoch 10, Batch   1199, Loss  0.889214, Average Loss  0.869136, Time  0.264993
2021-09-16 20:17:47.714808 : Epoch 10, Batch   1200, Loss  0.882562, Average Loss  0.869132, Time  0.264554
2021-09-16 20:17:50.773861 : Epoch 10, Batch   1201, Loss  0.863709, Average Loss  0.869080, Time  0.264401
2021-09-16 20:17:50.988908 : CheckPoint: Validation Loss  0.00030035, Best Loss  0.00029207
2021-09-16 20:17:53.520938 : Epoch  9, Batch    353, Loss  0.839396, Average Loss  0.857780, Time  0.237741
2021-09-16 20:17:53.812845 : Epoch 10, Batch   1202, Loss  0.858494, Average Loss  0.869017, Time  0.264480
2021-09-16 20:17:56.074943 : Epoch  9, Batch    354, Loss  0.868439, Average Loss  0.857852, Time  0.238110
2021-09-16 20:17:56.854231 : Epoch 10, Batch   1203, Loss  0.876908, Average Loss  0.869064, Time  0.264441
2021-09-16 20:17:58.631086 : Epoch  9, Batch    355, Loss  0.846206, Average Loss  0.857785, Time  0.237607
2021-09-16 20:17:59.905195 : Epoch 10, Batch   1204, Loss  0.868508, Average Loss  0.869039, Time  0.264288
2021-09-16 20:18:01.184914 : Epoch  9, Batch    356, Loss  0.876663, Average Loss  0.857782, Time  0.237409
2021-09-16 20:18:02.957658 : Epoch 10, Batch   1205, Loss  0.832296, Average Loss  0.868818, Time  0.264421
2021-09-16 20:18:03.747215 : Epoch  9, Batch    357, Loss  0.843370, Average Loss  0.857732, Time  0.238741
2021-09-16 20:18:05.993943 : Epoch 10, Batch   1206, Loss  0.881399, Average Loss  0.868801, Time  0.264301
2021-09-16 20:18:06.303686 : Epoch  9, Batch    358, Loss  0.858121, Average Loss  0.857694, Time  0.237627
2021-09-16 20:18:08.842688 : Epoch  9, Batch    359, Loss  0.836974, Average Loss  0.857516, Time  0.237509
2021-09-16 20:18:09.054763 : Epoch 10, Batch   1207, Loss  0.869602, Average Loss  0.868831, Time  0.264032
2021-09-16 20:18:11.391961 : Epoch  9, Batch    360, Loss  0.850023, Average Loss  0.857432, Time  0.237516
2021-09-16 20:18:12.075203 : Epoch 10, Batch   1208, Loss  0.847387, Average Loss  0.868715, Time  0.264006
2021-09-16 20:18:13.946043 : Epoch  9, Batch    361, Loss  0.854433, Average Loss  0.857363, Time  0.237299
2021-09-16 20:18:15.108129 : Epoch 10, Batch   1209, Loss  0.858039, Average Loss  0.868769, Time  0.264105
2021-09-16 20:18:16.499691 : Epoch  9, Batch    362, Loss  0.863308, Average Loss  0.857408, Time  0.237347
2021-09-16 20:18:18.145488 : Epoch 10, Batch   1210, Loss  0.870597, Average Loss  0.868836, Time  0.263903
2021-09-16 20:18:19.054408 : Epoch  9, Batch    363, Loss  0.835262, Average Loss  0.857267, Time  0.237777
2021-09-16 20:18:21.183201 : Epoch 10, Batch   1211, Loss  0.854916, Average Loss  0.868801, Time  0.264205
2021-09-16 20:18:21.611977 : Epoch  9, Batch    364, Loss  0.866078, Average Loss  0.857254, Time  0.237411
2021-09-16 20:18:24.158294 : Epoch  9, Batch    365, Loss  0.841043, Average Loss  0.857110, Time  0.237623
2021-09-16 20:18:24.232573 : Epoch 10, Batch   1212, Loss  0.869684, Average Loss  0.868776, Time  0.263895
2021-09-16 20:18:26.718105 : Epoch  9, Batch    366, Loss  0.857776, Average Loss  0.857196, Time  0.237538
2021-09-16 20:18:27.317305 : Epoch 10, Batch   1213, Loss  0.872944, Average Loss  0.868827, Time  0.282553
2021-09-16 20:18:29.268288 : Epoch  9, Batch    367, Loss  0.874672, Average Loss  0.857403, Time  0.237706
2021-09-16 20:18:30.373640 : Epoch 10, Batch   1214, Loss  0.844202, Average Loss  0.868743, Time  0.266401
2021-09-16 20:18:31.827079 : Epoch  9, Batch    368, Loss  0.858481, Average Loss  0.857375, Time  0.237482
2021-09-16 20:18:33.419456 : Epoch 10, Batch   1215, Loss  0.858427, Average Loss  0.868759, Time  0.264499
2021-09-16 20:18:34.383950 : Epoch  9, Batch    369, Loss  0.859548, Average Loss  0.857402, Time  0.237530
2021-09-16 20:18:36.468276 : Epoch 10, Batch   1216, Loss  0.850901, Average Loss  0.868550, Time  0.266141
2021-09-16 20:18:36.943062 : Epoch  9, Batch    370, Loss  0.849096, Average Loss  0.857321, Time  0.237477
2021-09-16 20:18:39.510438 : Epoch 10, Batch   1217, Loss  0.864264, Average Loss  0.868529, Time  0.264212
2021-09-16 20:18:39.519741 : Epoch  9, Batch    371, Loss  0.843274, Average Loss  0.857265, Time  0.237868
2021-09-16 20:18:42.109161 : Epoch  9, Batch    372, Loss  0.842456, Average Loss  0.857051, Time  0.237602
2021-09-16 20:18:42.552292 : Epoch 10, Batch   1218, Loss  0.866933, Average Loss  0.868484, Time  0.264492
2021-09-16 20:18:44.676015 : Epoch  9, Batch    373, Loss  0.837854, Average Loss  0.856908, Time  0.237756
2021-09-16 20:18:45.583761 : Epoch 10, Batch   1219, Loss  0.884769, Average Loss  0.868499, Time  0.264056
2021-09-16 20:18:47.237042 : Epoch  9, Batch    374, Loss  0.847074, Average Loss  0.856860, Time  0.237364
2021-09-16 20:18:48.629415 : Epoch 10, Batch   1220, Loss  0.872738, Average Loss  0.868541, Time  0.264097
2021-09-16 20:18:49.802213 : Epoch  9, Batch    375, Loss  0.860394, Average Loss  0.856832, Time  0.237780
2021-09-16 20:18:51.673807 : Epoch 10, Batch   1221, Loss  0.855704, Average Loss  0.868344, Time  0.263922
2021-09-16 20:18:52.372931 : Epoch  9, Batch    376, Loss  0.838403, Average Loss  0.856673, Time  0.237342
2021-09-16 20:18:54.732892 : Epoch 10, Batch   1222, Loss  0.861731, Average Loss  0.868407, Time  0.264673
2021-09-16 20:18:54.935388 : Epoch  9, Batch    377, Loss  0.845006, Average Loss  0.856546, Time  0.237919
2021-09-16 20:18:57.489101 : Epoch  9, Batch    378, Loss  0.835280, Average Loss  0.856412, Time  0.237639
2021-09-16 20:18:57.778292 : Epoch 10, Batch   1223, Loss  0.875338, Average Loss  0.868417, Time  0.264533
2021-09-16 20:19:00.054914 : Epoch  9, Batch    379, Loss  0.858634, Average Loss  0.856286, Time  0.237586
2021-09-16 20:19:00.815152 : Epoch 10, Batch   1224, Loss  0.853410, Average Loss  0.868328, Time  0.264414
2021-09-16 20:19:02.632113 : Epoch  9, Batch    380, Loss  0.857727, Average Loss  0.856294, Time  0.237766
2021-09-16 20:19:03.858317 : Epoch 10, Batch   1225, Loss  0.865565, Average Loss  0.868359, Time  0.264041
2021-09-16 20:19:05.207925 : Epoch  9, Batch    381, Loss  0.878933, Average Loss  0.856443, Time  0.237595
2021-09-16 20:19:06.913542 : Epoch 10, Batch   1226, Loss  0.866974, Average Loss  0.868394, Time  0.263703
2021-09-16 20:19:07.772265 : Epoch  9, Batch    382, Loss  0.849627, Average Loss  0.856392, Time  0.237807
2021-09-16 20:19:09.959019 : Epoch 10, Batch   1227, Loss  0.850017, Average Loss  0.868229, Time  0.264238
2021-09-16 20:19:10.332735 : Epoch  9, Batch    383, Loss  0.854418, Average Loss  0.856334, Time  0.237591
2021-09-16 20:19:12.884975 : Epoch  9, Batch    384, Loss  0.850164, Average Loss  0.856125, Time  0.237651
2021-09-16 20:19:13.024051 : Epoch 10, Batch   1228, Loss  0.880898, Average Loss  0.868317, Time  0.275341
2021-09-16 20:19:15.452690 : Epoch  9, Batch    385, Loss  0.871045, Average Loss  0.856151, Time  0.237951
2021-09-16 20:19:16.060980 : Epoch 10, Batch   1229, Loss  0.884537, Average Loss  0.868460, Time  0.266100
2021-09-16 20:19:18.009161 : Epoch  9, Batch    386, Loss  0.855066, Average Loss  0.856111, Time  0.237697
2021-09-16 20:19:19.105006 : Epoch 10, Batch   1230, Loss  0.877831, Average Loss  0.868509, Time  0.264310
2021-09-16 20:19:20.564736 : Epoch  9, Batch    387, Loss  0.847634, Average Loss  0.856087, Time  0.237397
2021-09-16 20:19:22.145007 : Epoch 10, Batch   1231, Loss  0.850785, Average Loss  0.868385, Time  0.264107
2021-09-16 20:19:23.117904 : Epoch  9, Batch    388, Loss  0.836585, Average Loss  0.855955, Time  0.237690
2021-09-16 20:19:25.194058 : Epoch 10, Batch   1232, Loss  0.886689, Average Loss  0.868517, Time  0.264129
2021-09-16 20:19:25.675862 : Epoch  9, Batch    389, Loss  0.850741, Average Loss  0.855949, Time  0.237504
2021-09-16 20:19:28.220713 : Epoch  9, Batch    390, Loss  0.858399, Average Loss  0.855904, Time  0.237379
2021-09-16 20:19:28.236758 : Epoch 10, Batch   1233, Loss  0.844076, Average Loss  0.868360, Time  0.264440
2021-09-16 20:19:30.789000 : Epoch  9, Batch    391, Loss  0.857756, Average Loss  0.855859, Time  0.237508
2021-09-16 20:19:31.307510 : Epoch 10, Batch   1234, Loss  0.865259, Average Loss  0.868362, Time  0.264107
2021-09-16 20:19:33.346921 : Epoch  9, Batch    392, Loss  0.840829, Average Loss  0.855790, Time  0.237489
2021-09-16 20:19:34.347481 : Epoch 10, Batch   1235, Loss  0.850880, Average Loss  0.868274, Time  0.263835
2021-09-16 20:19:35.905291 : Epoch  9, Batch    393, Loss  0.852315, Average Loss  0.855676, Time  0.238013
2021-09-16 20:19:37.393047 : Epoch 10, Batch   1236, Loss  0.867019, Average Loss  0.868234, Time  0.263955
2021-09-16 20:19:38.466772 : Epoch  9, Batch    394, Loss  0.840733, Average Loss  0.855601, Time  0.237643
2021-09-16 20:19:40.429233 : Epoch 10, Batch   1237, Loss  0.855159, Average Loss  0.868054, Time  0.264040
2021-09-16 20:19:41.031636 : Epoch  9, Batch    395, Loss  0.849958, Average Loss  0.855619, Time  0.237775
2021-09-16 20:19:43.478843 : Epoch 10, Batch   1238, Loss  0.856993, Average Loss  0.867975, Time  0.264015
2021-09-16 20:19:43.597856 : Epoch  9, Batch    396, Loss  0.833191, Average Loss  0.855436, Time  0.237680
2021-09-16 20:19:46.151747 : Epoch  9, Batch    397, Loss  0.861496, Average Loss  0.855515, Time  0.237871
2021-09-16 20:19:46.538261 : Epoch 10, Batch   1239, Loss  0.873839, Average Loss  0.867968, Time  0.264195
2021-09-16 20:19:48.709178 : Epoch  9, Batch    398, Loss  0.843499, Average Loss  0.855367, Time  0.237601
2021-09-16 20:19:49.575877 : Epoch 10, Batch   1240, Loss  0.856674, Average Loss  0.867775, Time  0.263931
2021-09-16 20:19:51.271118 : Epoch  9, Batch    399, Loss  0.853967, Average Loss  0.855330, Time  0.238161
2021-09-16 20:19:52.624006 : Epoch 10, Batch   1241, Loss  0.842579, Average Loss  0.867654, Time  0.264246
2021-09-16 20:19:53.837674 : Epoch  9, Batch    400, Loss  0.866145, Average Loss  0.855419, Time  0.237530
2021-09-16 20:19:55.667799 : Epoch 10, Batch   1242, Loss  0.865047, Average Loss  0.867585, Time  0.264632
2021-09-16 20:19:56.405995 : Epoch  9, Batch    401, Loss  0.846870, Average Loss  0.855407, Time  0.238338
2021-09-16 20:19:58.729558 : Epoch 10, Batch   1243, Loss  0.849374, Average Loss  0.867503, Time  0.276221
2021-09-16 20:19:58.968965 : Epoch  9, Batch    402, Loss  0.841504, Average Loss  0.855301, Time  0.237893
2021-09-16 20:20:01.521712 : Epoch  9, Batch    403, Loss  0.836654, Average Loss  0.855131, Time  0.237876
2021-09-16 20:20:01.774861 : Epoch 10, Batch   1244, Loss  0.864476, Average Loss  0.867366, Time  0.263897
2021-09-16 20:20:04.123673 : Epoch  9, Batch    404, Loss  0.838129, Average Loss  0.855080, Time  0.238755
2021-09-16 20:20:04.815453 : Epoch 10, Batch   1245, Loss  0.876175, Average Loss  0.867458, Time  0.264980
2021-09-16 20:20:06.684934 : Epoch  9, Batch    405, Loss  0.849537, Average Loss  0.855046, Time  0.237689
2021-09-16 20:20:07.853662 : Epoch 10, Batch   1246, Loss  0.872818, Average Loss  0.867436, Time  0.263863
2021-09-16 20:20:09.240712 : Epoch  9, Batch    406, Loss  0.852038, Average Loss  0.855035, Time  0.237593
2021-09-16 20:20:10.904385 : Epoch 10, Batch   1247, Loss  0.867897, Average Loss  0.867370, Time  0.264180
2021-09-16 20:20:11.796876 : Epoch  9, Batch    407, Loss  0.869685, Average Loss  0.854980, Time  0.237432
2021-09-16 20:20:13.953655 : Epoch 10, Batch   1248, Loss  0.871449, Average Loss  0.867380, Time  0.264308
2021-09-16 20:20:14.351948 : Epoch  9, Batch    408, Loss  0.853396, Average Loss  0.855002, Time  0.238088
2021-09-16 20:20:16.900046 : Epoch  9, Batch    409, Loss  0.846683, Average Loss  0.854959, Time  0.237757
2021-09-16 20:20:17.004436 : Epoch 10, Batch   1249, Loss  0.879429, Average Loss  0.867392, Time  0.263946
2021-09-16 20:20:19.451948 : Epoch  9, Batch    410, Loss  0.869520, Average Loss  0.855033, Time  0.237631
2021-09-16 20:20:20.038213 : Epoch 10, Batch   1250, Loss  0.888274, Average Loss  0.867505, Time  0.264126
2021-09-16 20:20:22.011872 : Epoch  9, Batch    411, Loss  0.845503, Average Loss  0.854957, Time  0.237554
2021-09-16 20:20:23.090048 : Epoch 10, Batch   1251, Loss  0.858852, Average Loss  0.867374, Time  0.263824
2021-09-16 20:20:24.574838 : Epoch  9, Batch    412, Loss  0.846064, Average Loss  0.854855, Time  0.237733
2021-09-16 20:20:26.124310 : Epoch 10, Batch   1252, Loss  0.857353, Average Loss  0.867438, Time  0.263987
2021-09-16 20:20:27.139048 : Epoch  9, Batch    413, Loss  0.848330, Average Loss  0.854785, Time  0.237727
2021-09-16 20:20:29.174566 : Epoch 10, Batch   1253, Loss  0.890392, Average Loss  0.867521, Time  0.266109
2021-09-16 20:20:29.698854 : Epoch  9, Batch    414, Loss  0.863881, Average Loss  0.854724, Time  0.237834
2021-09-16 20:20:32.213615 : Epoch 10, Batch   1254, Loss  0.866000, Average Loss  0.867471, Time  0.264253
2021-09-16 20:20:32.264858 : Epoch  9, Batch    415, Loss  0.839533, Average Loss  0.854695, Time  0.237686
2021-09-16 20:20:34.822508 : Epoch  9, Batch    416, Loss  0.870016, Average Loss  0.854770, Time  0.237638
2021-09-16 20:20:35.275573 : Epoch 10, Batch   1255, Loss  0.883310, Average Loss  0.867521, Time  0.264555
2021-09-16 20:20:37.375984 : Epoch  9, Batch    417, Loss  0.866055, Average Loss  0.854830, Time  0.237364
2021-09-16 20:20:38.307867 : Epoch 10, Batch   1256, Loss  0.861739, Average Loss  0.867491, Time  0.263668
2021-09-16 20:20:39.933325 : Epoch  9, Batch    418, Loss  0.854473, Average Loss  0.854726, Time  0.237393
2021-09-16 20:20:41.362810 : Epoch 10, Batch   1257, Loss  0.888399, Average Loss  0.867397, Time  0.266056
2021-09-16 20:20:42.500016 : Epoch  9, Batch    419, Loss  0.879850, Average Loss  0.854752, Time  0.237721
2021-09-16 20:20:44.418837 : Epoch 10, Batch   1258, Loss  0.873521, Average Loss  0.867335, Time  0.276443
2021-09-16 20:20:45.067943 : Epoch  9, Batch    420, Loss  0.847755, Average Loss  0.854741, Time  0.237477
2021-09-16 20:20:47.466513 : Epoch 10, Batch   1259, Loss  0.872650, Average Loss  0.867395, Time  0.265267
2021-09-16 20:20:47.625014 : Epoch  9, Batch    421, Loss  0.847662, Average Loss  0.854777, Time  0.237832
2021-09-16 20:20:50.175149 : Epoch  9, Batch    422, Loss  0.855716, Average Loss  0.854766, Time  0.237359
2021-09-16 20:20:50.541218 : Epoch 10, Batch   1260, Loss  0.859901, Average Loss  0.867391, Time  0.264362
2021-09-16 20:20:52.738734 : Epoch  9, Batch    423, Loss  0.854529, Average Loss  0.854627, Time  0.237652
2021-09-16 20:20:53.578360 : Epoch 10, Batch   1261, Loss  0.849196, Average Loss  0.867295, Time  0.264382
2021-09-16 20:20:55.300664 : Epoch  9, Batch    424, Loss  0.841548, Average Loss  0.854565, Time  0.237464
2021-09-16 20:20:56.622960 : Epoch 10, Batch   1262, Loss  0.890804, Average Loss  0.867366, Time  0.264404
2021-09-16 20:20:57.866008 : Epoch  9, Batch    425, Loss  0.872464, Average Loss  0.854611, Time  0.238306
2021-09-16 20:20:59.663974 : Epoch 10, Batch   1263, Loss  0.865640, Average Loss  0.867365, Time  0.264030
2021-09-16 20:21:00.428300 : Epoch  9, Batch    426, Loss  0.880742, Average Loss  0.854701, Time  0.237811
2021-09-16 20:21:02.719991 : Epoch 10, Batch   1264, Loss  0.860299, Average Loss  0.867260, Time  0.264206
2021-09-16 20:21:02.988951 : Epoch  9, Batch    427, Loss  0.865982, Average Loss  0.854819, Time  0.237883
2021-09-16 20:21:05.537171 : Epoch  9, Batch    428, Loss  0.848585, Average Loss  0.854757, Time  0.237274
2021-09-16 20:21:05.784751 : Epoch 10, Batch   1265, Loss  0.868007, Average Loss  0.867155, Time  0.264243
2021-09-16 20:21:08.090874 : Epoch  9, Batch    429, Loss  0.853772, Average Loss  0.854644, Time  0.237730
2021-09-16 20:21:08.810392 : Epoch 10, Batch   1266, Loss  0.856976, Average Loss  0.867104, Time  0.265815
2021-09-16 20:21:10.659842 : Epoch  9, Batch    430, Loss  0.838846, Average Loss  0.854545, Time  0.237381
2021-09-16 20:21:11.853324 : Epoch 10, Batch   1267, Loss  0.865665, Average Loss  0.867106, Time  0.264096
2021-09-16 20:21:13.218770 : Epoch  9, Batch    431, Loss  0.845060, Average Loss  0.854535, Time  0.237536
2021-09-16 20:21:14.900810 : Epoch 10, Batch   1268, Loss  0.842897, Average Loss  0.866918, Time  0.264230
2021-09-16 20:21:15.786674 : Epoch  9, Batch    432, Loss  0.849168, Average Loss  0.854506, Time  0.237421
2021-09-16 20:21:17.946215 : Epoch 10, Batch   1269, Loss  0.840201, Average Loss  0.866776, Time  0.263961
2021-09-16 20:21:18.349919 : Epoch  9, Batch    433, Loss  0.870328, Average Loss  0.854583, Time  0.237497
2021-09-16 20:21:20.894973 : Epoch  9, Batch    434, Loss  0.864147, Average Loss  0.854589, Time  0.237724
2021-09-16 20:21:20.987125 : Epoch 10, Batch   1270, Loss  0.875100, Average Loss  0.866793, Time  0.263835
2021-09-16 20:21:23.452164 : Epoch  9, Batch    435, Loss  0.846422, Average Loss  0.854535, Time  0.237420
2021-09-16 20:21:24.043909 : Epoch 10, Batch   1271, Loss  0.864815, Average Loss  0.866769, Time  0.264334
2021-09-16 20:21:26.007681 : Epoch  9, Batch    436, Loss  0.845944, Average Loss  0.854462, Time  0.237743
2021-09-16 20:21:27.098969 : Epoch 10, Batch   1272, Loss  0.859838, Average Loss  0.866674, Time  0.263865
2021-09-16 20:21:28.570816 : Epoch  9, Batch    437, Loss  0.855958, Average Loss  0.854480, Time  0.237482
2021-09-16 20:21:30.171213 : Epoch 10, Batch   1273, Loss  0.891464, Average Loss  0.866801, Time  0.278013
2021-09-16 20:21:31.130853 : Epoch  9, Batch    438, Loss  0.839506, Average Loss  0.854351, Time  0.237967
2021-09-16 20:21:33.220878 : Epoch 10, Batch   1274, Loss  0.874377, Average Loss  0.866761, Time  0.264547
2021-09-16 20:21:33.687155 : Epoch  9, Batch    439, Loss  0.835637, Average Loss  0.854334, Time  0.237742
2021-09-16 20:21:36.235869 : Epoch  9, Batch    440, Loss  0.852391, Average Loss  0.854235, Time  0.237972
2021-09-16 20:21:36.284682 : Epoch 10, Batch   1275, Loss  0.868738, Average Loss  0.866781, Time  0.263895
2021-09-16 20:21:38.798684 : Epoch  9, Batch    441, Loss  0.842820, Average Loss  0.854130, Time  0.237622
2021-09-16 20:21:39.324056 : Epoch 10, Batch   1276, Loss  0.852550, Average Loss  0.866815, Time  0.264386
2021-09-16 20:21:41.356918 : Epoch  9, Batch    442, Loss  0.857072, Average Loss  0.854128, Time  0.238098
2021-09-16 20:21:42.382753 : Epoch 10, Batch   1277, Loss  0.844818, Average Loss  0.866702, Time  0.265428
2021-09-16 20:21:43.913926 : Epoch  9, Batch    443, Loss  0.865046, Average Loss  0.854178, Time  0.237388
2021-09-16 20:21:45.421963 : Epoch 10, Batch   1278, Loss  0.860971, Average Loss  0.866641, Time  0.263412
2021-09-16 20:21:46.469870 : Epoch  9, Batch    444, Loss  0.849977, Average Loss  0.854113, Time  0.237727
2021-09-16 20:21:48.461009 : Epoch 10, Batch   1279, Loss  0.838442, Average Loss  0.866578, Time  0.264621
2021-09-16 20:21:49.021138 : Epoch  9, Batch    445, Loss  0.838003, Average Loss  0.853994, Time  0.237382
2021-09-16 20:21:51.503843 : Epoch 10, Batch   1280, Loss  0.860055, Average Loss  0.866619, Time  0.264395
2021-09-16 20:21:51.594940 : Epoch  9, Batch    446, Loss  0.834939, Average Loss  0.853934, Time  0.237944
2021-09-16 20:21:54.164145 : Epoch  9, Batch    447, Loss  0.878519, Average Loss  0.853998, Time  0.237535
2021-09-16 20:21:54.549137 : Epoch 10, Batch   1281, Loss  0.900221, Average Loss  0.866667, Time  0.264530
2021-09-16 20:21:56.734007 : Epoch  9, Batch    448, Loss  0.836473, Average Loss  0.853848, Time  0.238227
2021-09-16 20:21:57.583288 : Epoch 10, Batch   1282, Loss  0.882260, Average Loss  0.866813, Time  0.264344
2021-09-16 20:21:59.290243 : Epoch  9, Batch    449, Loss  0.868663, Average Loss  0.853976, Time  0.238029
2021-09-16 20:22:00.624406 : Epoch 10, Batch   1283, Loss  0.879228, Average Loss  0.866824, Time  0.264279
2021-09-16 20:22:01.835498 : Epoch  9, Batch    450, Loss  0.858389, Average Loss  0.854023, Time  0.237742
2021-09-16 20:22:03.668647 : Epoch 10, Batch   1284, Loss  0.868577, Average Loss  0.866822, Time  0.264113
2021-09-16 20:22:04.397677 : Epoch  9, Batch    451, Loss  0.868406, Average Loss  0.854126, Time  0.237549
2021-09-16 20:22:06.714634 : Epoch 10, Batch   1285, Loss  0.900015, Average Loss  0.867052, Time  0.264287
2021-09-16 20:22:06.948128 : Epoch  9, Batch    452, Loss  0.857591, Average Loss  0.854043, Time  0.237937
2021-09-16 20:22:09.753399 : Epoch 10, Batch   1286, Loss  0.856560, Average Loss  0.867025, Time  0.264047
2021-09-16 20:22:12.794005 : Epoch 10, Batch   1287, Loss  0.854743, Average Loss  0.866968, Time  0.264849
2021-09-16 20:22:15.846341 : Epoch 10, Batch   1288, Loss  0.858507, Average Loss  0.866809, Time  0.276082
2021-09-16 20:22:18.893915 : Epoch 10, Batch   1289, Loss  0.874835, Average Loss  0.866900, Time  0.264872
2021-09-16 20:22:21.935923 : Epoch 10, Batch   1290, Loss  0.870580, Average Loss  0.867040, Time  0.263937
2021-09-16 20:22:24.982795 : Epoch 10, Batch   1291, Loss  0.868953, Average Loss  0.866902, Time  0.264156
2021-09-16 20:22:28.020277 : Epoch 10, Batch   1292, Loss  0.861151, Average Loss  0.866836, Time  0.263986
2021-09-16 20:22:31.059456 : Epoch 10, Batch   1293, Loss  0.888749, Average Loss  0.866986, Time  0.263879
2021-09-16 20:22:34.098202 : Epoch 10, Batch   1294, Loss  0.874961, Average Loss  0.867043, Time  0.264053
2021-09-16 20:22:37.146761 : Epoch 10, Batch   1295, Loss  0.885851, Average Loss  0.867148, Time  0.264253
2021-09-16 20:22:45.799928 : Epoch 10, Batch   1296, Loss  0.856083, Average Loss  0.867083, Time  0.264543
2021-09-16 20:26:02.783680 : CheckPoint: Validation Loss  0.00028775, Best Loss  0.00028775
2021-09-16 20:26:02.828565 : Best Model Updated
2021-09-16 20:26:06.317989 : Epoch  9, Batch    453, Loss  0.863514, Average Loss  0.854078, Time  0.238115
2021-09-16 20:26:08.898122 : Epoch  9, Batch    454, Loss  0.859564, Average Loss  0.854045, Time  0.237805
2021-09-16 20:26:11.462856 : Epoch  9, Batch    455, Loss  0.841844, Average Loss  0.854016, Time  0.237666
2021-09-16 20:26:14.046994 : Epoch  9, Batch    456, Loss  0.846918, Average Loss  0.853919, Time  0.237855
2021-09-16 20:26:16.617927 : Epoch  9, Batch    457, Loss  0.870853, Average Loss  0.853850, Time  0.237654
2021-09-16 20:26:19.191933 : Epoch  9, Batch    458, Loss  0.853517, Average Loss  0.853833, Time  0.237515
2021-09-16 20:26:21.778145 : Epoch  9, Batch    459, Loss  0.841448, Average Loss  0.853776, Time  0.237483
2021-09-16 20:26:24.350927 : Epoch  9, Batch    460, Loss  0.859371, Average Loss  0.853805, Time  0.237701
2021-09-16 20:26:26.927832 : Epoch  9, Batch    461, Loss  0.845541, Average Loss  0.853779, Time  0.238954
2021-09-16 20:26:29.502963 : Epoch  9, Batch    462, Loss  0.852719, Average Loss  0.853744, Time  0.237651
2021-09-16 20:26:32.084254 : Epoch  9, Batch    463, Loss  0.852515, Average Loss  0.853710, Time  0.237673
2021-09-16 20:26:34.671043 : Epoch  9, Batch    464, Loss  0.858144, Average Loss  0.853745, Time  0.238218
2021-09-16 20:26:37.265006 : Epoch  9, Batch    465, Loss  0.858169, Average Loss  0.853661, Time  0.237863
2021-09-16 20:26:39.838860 : Epoch  9, Batch    466, Loss  0.862180, Average Loss  0.853653, Time  0.237758
2021-09-16 20:26:42.424681 : Epoch  9, Batch    467, Loss  0.854394, Average Loss  0.853643, Time  0.240463
2021-09-16 20:26:45.005391 : Epoch  9, Batch    468, Loss  0.864224, Average Loss  0.853734, Time  0.237514
2021-09-16 20:26:47.579972 : Epoch  9, Batch    469, Loss  0.853003, Average Loss  0.853744, Time  0.237343
2021-09-16 20:26:50.165982 : Epoch  9, Batch    470, Loss  0.869053, Average Loss  0.853832, Time  0.237444
2021-09-16 20:26:52.748692 : Epoch  9, Batch    471, Loss  0.828052, Average Loss  0.853680, Time  0.237717
2021-09-16 20:26:55.330149 : Epoch  9, Batch    472, Loss  0.854028, Average Loss  0.853690, Time  0.237851
2021-09-16 20:26:57.906792 : Epoch  9, Batch    473, Loss  0.862861, Average Loss  0.853765, Time  0.237785
2021-09-16 20:27:00.485789 : Epoch  9, Batch    474, Loss  0.833753, Average Loss  0.853575, Time  0.237793
2021-09-16 20:27:03.065729 : Epoch  9, Batch    475, Loss  0.841994, Average Loss  0.853414, Time  0.237606
2021-09-16 20:27:05.649827 : Epoch  9, Batch    476, Loss  0.844178, Average Loss  0.853318, Time  0.237457
2021-09-16 20:27:08.225986 : Epoch  9, Batch    477, Loss  0.834715, Average Loss  0.853239, Time  0.237527
2021-09-16 20:27:10.802502 : Epoch  9, Batch    478, Loss  0.829245, Average Loss  0.852985, Time  0.237660
2021-09-16 20:27:13.377752 : Epoch  9, Batch    479, Loss  0.849039, Average Loss  0.853114, Time  0.237738
2021-09-16 20:27:15.957980 : Epoch  9, Batch    480, Loss  0.853482, Average Loss  0.853100, Time  0.237821
2021-09-16 20:27:18.537881 : Epoch  9, Batch    481, Loss  0.861752, Average Loss  0.853096, Time  0.237702
2021-09-16 20:27:21.109698 : Epoch  9, Batch    482, Loss  0.852017, Average Loss  0.853088, Time  0.237201
2021-09-16 20:27:23.681593 : Epoch  9, Batch    483, Loss  0.842465, Average Loss  0.852963, Time  0.237897
2021-09-16 20:27:26.256204 : Epoch  9, Batch    484, Loss  0.848118, Average Loss  0.852862, Time  0.237620
2021-09-16 20:27:27.009778 : CheckPoint: Validation Loss  0.00029550, Best Loss  0.00029014
2021-09-16 20:27:28.831850 : Epoch  9, Batch    485, Loss  0.851246, Average Loss  0.852725, Time  0.237535
2021-09-16 20:27:30.063766 : Epoch 10, Batch   1297, Loss  0.877894, Average Loss  0.867108, Time  0.264299
2021-09-16 20:27:31.409952 : Epoch  9, Batch    486, Loss  0.863266, Average Loss  0.852744, Time  0.237552
2021-09-16 20:27:33.103237 : Epoch 10, Batch   1298, Loss  0.857852, Average Loss  0.867139, Time  0.264318
2021-09-16 20:27:33.985214 : Epoch  9, Batch    487, Loss  0.854796, Average Loss  0.852731, Time  0.237981
2021-09-16 20:27:36.162761 : Epoch 10, Batch   1299, Loss  0.870288, Average Loss  0.867238, Time  0.279613
2021-09-16 20:27:36.561328 : Epoch  9, Batch    488, Loss  0.856059, Average Loss  0.852701, Time  0.238256
2021-09-16 20:27:39.124878 : Epoch  9, Batch    489, Loss  0.835965, Average Loss  0.852585, Time  0.237620
2021-09-16 20:27:39.189042 : Epoch 10, Batch   1300, Loss  0.861461, Average Loss  0.867315, Time  0.264105
2021-09-16 20:27:41.695022 : Epoch  9, Batch    490, Loss  0.848953, Average Loss  0.852496, Time  0.238106
2021-09-16 20:27:42.230321 : Epoch 10, Batch   1301, Loss  0.895760, Average Loss  0.867430, Time  0.263999
2021-09-16 20:27:44.297705 : Epoch  9, Batch    491, Loss  0.865555, Average Loss  0.852604, Time  0.237577
2021-09-16 20:27:45.269618 : Epoch 10, Batch   1302, Loss  0.846695, Average Loss  0.867199, Time  0.264445
2021-09-16 20:27:46.873997 : Epoch  9, Batch    492, Loss  0.864346, Average Loss  0.852650, Time  0.237675
2021-09-16 20:27:48.300915 : Epoch 10, Batch   1303, Loss  0.880558, Average Loss  0.867254, Time  0.264271
2021-09-16 20:27:49.452673 : Epoch  9, Batch    493, Loss  0.835941, Average Loss  0.852444, Time  0.238022
2021-09-16 20:27:51.335121 : Epoch 10, Batch   1304, Loss  0.859179, Average Loss  0.867217, Time  0.264371
2021-09-16 20:27:52.030915 : Epoch  9, Batch    494, Loss  0.853520, Average Loss  0.852318, Time  0.237528
2021-09-16 20:27:54.375721 : Epoch 10, Batch   1305, Loss  0.869276, Average Loss  0.867144, Time  0.264212
2021-09-16 20:27:54.611922 : Epoch  9, Batch    495, Loss  0.853391, Average Loss  0.852258, Time  0.237433
2021-09-16 20:27:57.175695 : Epoch  9, Batch    496, Loss  0.843009, Average Loss  0.852190, Time  0.237283
2021-09-16 20:27:57.434374 : Epoch 10, Batch   1306, Loss  0.888904, Average Loss  0.867240, Time  0.264237
2021-09-16 20:27:59.751057 : Epoch  9, Batch    497, Loss  0.846543, Average Loss  0.852179, Time  0.237778
2021-09-16 20:28:00.472768 : Epoch 10, Batch   1307, Loss  0.869012, Average Loss  0.867250, Time  0.264212
2021-09-16 20:28:02.321239 : Epoch  9, Batch    498, Loss  0.854261, Average Loss  0.852200, Time  0.237456
2021-09-16 20:28:03.515463 : Epoch 10, Batch   1308, Loss  0.888594, Average Loss  0.867261, Time  0.264211
2021-09-16 20:28:04.904729 : Epoch  9, Batch    499, Loss  0.840480, Average Loss  0.852204, Time  0.238037
2021-09-16 20:28:06.550892 : Epoch 10, Batch   1309, Loss  0.851458, Average Loss  0.867233, Time  0.263975
2021-09-16 20:28:07.478927 : Epoch  9, Batch    500, Loss  0.854732, Average Loss  0.852160, Time  0.237255
2021-09-16 20:28:09.593108 : Epoch 10, Batch   1310, Loss  0.841875, Average Loss  0.867112, Time  0.264369
2021-09-16 20:28:10.049902 : Epoch  9, Batch    501, Loss  0.839388, Average Loss  0.852028, Time  0.237717
2021-09-16 20:28:12.609088 : Epoch  9, Batch    502, Loss  0.843936, Average Loss  0.852017, Time  0.237358
2021-09-16 20:28:12.632442 : Epoch 10, Batch   1311, Loss  0.855803, Average Loss  0.867122, Time  0.264129
2021-09-16 20:28:15.186994 : Epoch  9, Batch    503, Loss  0.860524, Average Loss  0.852094, Time  0.237558
2021-09-16 20:28:15.683708 : Epoch 10, Batch   1312, Loss  0.873156, Average Loss  0.867022, Time  0.264426
2021-09-16 20:28:17.767014 : Epoch  9, Batch    504, Loss  0.848483, Average Loss  0.851938, Time  0.237706
2021-09-16 20:28:18.710570 : Epoch 10, Batch   1313, Loss  0.879787, Average Loss  0.867099, Time  0.264012
2021-09-16 20:28:20.344748 : Epoch  9, Batch    505, Loss  0.861672, Average Loss  0.851886, Time  0.238567
2021-09-16 20:28:21.753289 : Epoch 10, Batch   1314, Loss  0.864751, Average Loss  0.867086, Time  0.271768
2021-09-16 20:28:22.923907 : Epoch  9, Batch    506, Loss  0.829725, Average Loss  0.851809, Time  0.237974
2021-09-16 20:28:24.806517 : Epoch 10, Batch   1315, Loss  0.874582, Average Loss  0.867221, Time  0.264868
2021-09-16 20:28:25.497960 : Epoch  9, Batch    507, Loss  0.852584, Average Loss  0.851727, Time  0.237550
2021-09-16 20:28:27.844782 : Epoch 10, Batch   1316, Loss  0.871736, Average Loss  0.867362, Time  0.264718
2021-09-16 20:28:28.072177 : Epoch  9, Batch    508, Loss  0.856221, Average Loss  0.851688, Time  0.237825
2021-09-16 20:28:30.633668 : Epoch  9, Batch    509, Loss  0.856587, Average Loss  0.851754, Time  0.237474
2021-09-16 20:28:30.890850 : Epoch 10, Batch   1317, Loss  0.875549, Average Loss  0.867384, Time  0.264283
2021-09-16 20:28:33.210864 : Epoch  9, Batch    510, Loss  0.870242, Average Loss  0.851695, Time  0.238955
2021-09-16 20:28:33.928195 : Epoch 10, Batch   1318, Loss  0.867882, Average Loss  0.867443, Time  0.264573
2021-09-16 20:28:35.785386 : Epoch  9, Batch    511, Loss  0.865044, Average Loss  0.851692, Time  0.238220
2021-09-16 20:28:36.961970 : Epoch 10, Batch   1319, Loss  0.875941, Average Loss  0.867454, Time  0.264387
2021-09-16 20:28:38.356127 : Epoch  9, Batch    512, Loss  0.871390, Average Loss  0.851795, Time  0.237677
2021-09-16 20:28:40.006163 : Epoch 10, Batch   1320, Loss  0.857347, Average Loss  0.867355, Time  0.264602
2021-09-16 20:28:40.922025 : Epoch  9, Batch    513, Loss  0.814197, Average Loss  0.851500, Time  0.237684
2021-09-16 20:28:43.041537 : Epoch 10, Batch   1321, Loss  0.870376, Average Loss  0.867465, Time  0.265851
2021-09-16 20:28:43.487179 : Epoch  9, Batch    514, Loss  0.865900, Average Loss  0.851680, Time  0.237701
2021-09-16 20:28:46.070345 : Epoch  9, Batch    515, Loss  0.823934, Average Loss  0.851401, Time  0.237771
2021-09-16 20:28:46.084391 : Epoch 10, Batch   1322, Loss  0.865103, Average Loss  0.867418, Time  0.264307
2021-09-16 20:28:48.635364 : Epoch  9, Batch    516, Loss  0.864009, Average Loss  0.851370, Time  0.237335
2021-09-16 20:28:49.140107 : Epoch 10, Batch   1323, Loss  0.870329, Average Loss  0.867428, Time  0.264181
2021-09-16 20:28:51.214821 : Epoch  9, Batch    517, Loss  0.856703, Average Loss  0.851387, Time  0.238053
2021-09-16 20:28:52.182447 : Epoch 10, Batch   1324, Loss  0.889132, Average Loss  0.867625, Time  0.264020
2021-09-16 20:28:53.793973 : Epoch  9, Batch    518, Loss  0.858020, Average Loss  0.851341, Time  0.237317
2021-09-16 20:28:55.216579 : Epoch 10, Batch   1325, Loss  0.897310, Average Loss  0.867859, Time  0.264270
2021-09-16 20:28:56.365681 : Epoch  9, Batch    519, Loss  0.874236, Average Loss  0.851532, Time  0.238275
2021-09-16 20:28:58.256058 : Epoch 10, Batch   1326, Loss  0.872738, Average Loss  0.867893, Time  0.264335
2021-09-16 20:28:58.940909 : Epoch  9, Batch    520, Loss  0.822079, Average Loss  0.851403, Time  0.237553
2021-09-16 20:29:01.290854 : Epoch 10, Batch   1327, Loss  0.875774, Average Loss  0.868027, Time  0.263770
2021-09-16 20:29:01.512074 : Epoch  9, Batch    521, Loss  0.846627, Average Loss  0.851476, Time  0.237539
2021-09-16 20:29:02.773298 : Epoch 10, Batch   1328, Loss  0.886456, Average Loss  0.868117, Time  0.164053
2021-09-16 20:29:04.075912 : Epoch  9, Batch    522, Loss  0.839259, Average Loss  0.851587, Time  0.237760
2021-09-16 20:29:05.810570 : Epoch 10, Batch   1329, Loss  0.858139, Average Loss  0.868089, Time  0.263763
2021-09-16 20:29:06.653681 : Epoch  9, Batch    523, Loss  0.835703, Average Loss  0.851583, Time  0.237542
2021-09-16 20:29:08.864472 : Epoch 10, Batch   1330, Loss  0.873084, Average Loss  0.868096, Time  0.273626
2021-09-16 20:29:09.235678 : Epoch  9, Batch    524, Loss  0.865069, Average Loss  0.851588, Time  0.237748
2021-09-16 20:29:11.803927 : Epoch  9, Batch    525, Loss  0.845332, Average Loss  0.851568, Time  0.237605
2021-09-16 20:29:11.907643 : Epoch 10, Batch   1331, Loss  0.871550, Average Loss  0.868047, Time  0.264293
2021-09-16 20:29:14.376828 : Epoch  9, Batch    526, Loss  0.847083, Average Loss  0.851438, Time  0.238010
2021-09-16 20:29:14.934109 : Epoch 10, Batch   1332, Loss  0.868442, Average Loss  0.867959, Time  0.263899
2021-09-16 20:29:16.943232 : Epoch  9, Batch    527, Loss  0.854817, Average Loss  0.851488, Time  0.238243
2021-09-16 20:29:17.985492 : Epoch 10, Batch   1333, Loss  0.862032, Average Loss  0.867892, Time  0.264534
2021-09-16 20:29:19.539686 : Epoch  9, Batch    528, Loss  0.849816, Average Loss  0.851433, Time  0.238200
2021-09-16 20:29:21.019604 : Epoch 10, Batch   1334, Loss  0.864803, Average Loss  0.867794, Time  0.264043
2021-09-16 20:29:22.116924 : Epoch  9, Batch    529, Loss  0.836731, Average Loss  0.851248, Time  0.237371
2021-09-16 20:29:24.055448 : Epoch 10, Batch   1335, Loss  0.857503, Average Loss  0.867642, Time  0.263811
2021-09-16 20:29:24.690965 : Epoch  9, Batch    530, Loss  0.838473, Average Loss  0.851260, Time  0.237602
2021-09-16 20:29:27.093395 : Epoch 10, Batch   1336, Loss  0.890968, Average Loss  0.867744, Time  0.266350
2021-09-16 20:29:27.264985 : Epoch  9, Batch    531, Loss  0.829664, Average Loss  0.851177, Time  0.237811
2021-09-16 20:29:29.834156 : Epoch  9, Batch    532, Loss  0.844673, Average Loss  0.851162, Time  0.237809
2021-09-16 20:29:30.130123 : Epoch 10, Batch   1337, Loss  0.881795, Average Loss  0.867811, Time  0.264410
2021-09-16 20:29:32.410034 : Epoch  9, Batch    533, Loss  0.852524, Average Loss  0.851142, Time  0.237663
2021-09-16 20:29:33.162282 : Epoch 10, Batch   1338, Loss  0.851429, Average Loss  0.867637, Time  0.264188
2021-09-16 20:29:34.984938 : Epoch  9, Batch    534, Loss  0.853986, Average Loss  0.851228, Time  0.238216
2021-09-16 20:29:36.201109 : Epoch 10, Batch   1339, Loss  0.863436, Average Loss  0.867620, Time  0.264237
2021-09-16 20:29:37.559676 : Epoch  9, Batch    535, Loss  0.858098, Average Loss  0.851342, Time  0.237499
2021-09-16 20:29:39.239753 : Epoch 10, Batch   1340, Loss  0.868532, Average Loss  0.867598, Time  0.264887
2021-09-16 20:29:40.132233 : Epoch  9, Batch    536, Loss  0.842239, Average Loss  0.851448, Time  0.238369
2021-09-16 20:29:42.283818 : Epoch 10, Batch   1341, Loss  0.875066, Average Loss  0.867722, Time  0.264367
2021-09-16 20:29:42.710674 : Epoch  9, Batch    537, Loss  0.859470, Average Loss  0.851423, Time  0.237843
2021-09-16 20:29:45.276951 : Epoch  9, Batch    538, Loss  0.824413, Average Loss  0.851363, Time  0.237635
2021-09-16 20:29:45.326136 : Epoch 10, Batch   1342, Loss  0.868873, Average Loss  0.867746, Time  0.264021
2021-09-16 20:29:47.837978 : Epoch  9, Batch    539, Loss  0.814757, Average Loss  0.851241, Time  0.237645
2021-09-16 20:29:48.360950 : Epoch 10, Batch   1343, Loss  0.856359, Average Loss  0.867671, Time  0.264318
2021-09-16 20:29:50.409692 : Epoch  9, Batch    540, Loss  0.880824, Average Loss  0.851515, Time  0.237387
2021-09-16 20:29:51.388124 : Epoch 10, Batch   1344, Loss  0.856278, Average Loss  0.867641, Time  0.264143
2021-09-16 20:29:52.994778 : Epoch  9, Batch    541, Loss  0.845505, Average Loss  0.851376, Time  0.237976
2021-09-16 20:29:54.435000 : Epoch 10, Batch   1345, Loss  0.873455, Average Loss  0.867635, Time  0.275378
2021-09-16 20:29:55.568052 : Epoch  9, Batch    542, Loss  0.847546, Average Loss  0.851370, Time  0.238054
2021-09-16 20:29:57.495884 : Epoch 10, Batch   1346, Loss  0.871451, Average Loss  0.867748, Time  0.264877
2021-09-16 20:29:58.147973 : Epoch  9, Batch    543, Loss  0.857119, Average Loss  0.851397, Time  0.237712
2021-09-16 20:30:00.541997 : Epoch 10, Batch   1347, Loss  0.836875, Average Loss  0.867602, Time  0.264601
2021-09-16 20:30:00.728942 : Epoch  9, Batch    544, Loss  0.837475, Average Loss  0.851373, Time  0.237579
2021-09-16 20:30:03.307758 : Epoch  9, Batch    545, Loss  0.846365, Average Loss  0.851340, Time  0.237826
2021-09-16 20:30:03.587003 : Epoch 10, Batch   1348, Loss  0.860989, Average Loss  0.867610, Time  0.264104
2021-09-16 20:30:05.897695 : Epoch  9, Batch    546, Loss  0.854839, Average Loss  0.851331, Time  0.237708
2021-09-16 20:30:06.634105 : Epoch 10, Batch   1349, Loss  0.864165, Average Loss  0.867548, Time  0.264081
2021-09-16 20:30:08.481219 : Epoch  9, Batch    547, Loss  0.839275, Average Loss  0.851230, Time  0.237440
2021-09-16 20:30:09.669196 : Epoch 10, Batch   1350, Loss  0.860592, Average Loss  0.867500, Time  0.264334
2021-09-16 20:30:11.064093 : Epoch  9, Batch    548, Loss  0.830080, Average Loss  0.851144, Time  0.238094
2021-09-16 20:30:12.708054 : Epoch 10, Batch   1351, Loss  0.849194, Average Loss  0.867430, Time  0.264271
2021-09-16 20:30:13.641195 : Epoch  9, Batch    549, Loss  0.857816, Average Loss  0.851301, Time  0.237443
2021-09-16 20:30:15.752734 : Epoch 10, Batch   1352, Loss  0.902634, Average Loss  0.867546, Time  0.264182
2021-09-16 20:30:16.213226 : Epoch  9, Batch    550, Loss  0.859553, Average Loss  0.851371, Time  0.237979
2021-09-16 20:30:18.791701 : Epoch  9, Batch    551, Loss  0.856731, Average Loss  0.851417, Time  0.237619
2021-09-16 20:30:21.399995 : Epoch  9, Batch    552, Loss  0.839600, Average Loss  0.851372, Time  0.237541
2021-09-16 20:30:21.826045 : Epoch 10, Batch   1354, Loss  0.888000, Average Loss  0.867533, Time  0.265280
2021-09-16 20:30:24.859968 : Epoch 10, Batch   1355, Loss  0.880643, Average Loss  0.867565, Time  0.264188
2021-09-16 20:30:27.898330 : Epoch 10, Batch   1356, Loss  0.892619, Average Loss  0.867726, Time  0.264537
2021-09-16 20:30:30.937523 : Epoch 10, Batch   1357, Loss  0.861541, Average Loss  0.867620, Time  0.264094
2021-09-16 20:30:33.982400 : Epoch 10, Batch   1358, Loss  0.866755, Average Loss  0.867620, Time  0.264413
2021-09-16 20:30:37.027435 : Epoch 10, Batch   1359, Loss  0.870996, Average Loss  0.867725, Time  0.264161
2021-09-16 20:30:40.063127 : Epoch 10, Batch   1360, Loss  0.876049, Average Loss  0.867679, Time  0.276230
2021-09-16 20:30:43.115616 : Epoch 10, Batch   1361, Loss  0.861269, Average Loss  0.867584, Time  0.264412
2021-09-16 20:30:46.160811 : Epoch 10, Batch   1362, Loss  0.858728, Average Loss  0.867532, Time  0.263758
2021-09-16 20:30:49.209410 : Epoch 10, Batch   1363, Loss  0.885789, Average Loss  0.867642, Time  0.263648
2021-09-16 20:30:52.243409 : Epoch 10, Batch   1364, Loss  0.871081, Average Loss  0.867717, Time  0.263876
2021-09-16 20:30:55.288503 : Epoch 10, Batch   1365, Loss  0.871161, Average Loss  0.867710, Time  0.264661
2021-09-16 20:30:58.333189 : Epoch 10, Batch   1366, Loss  0.859838, Average Loss  0.867585, Time  0.264224
2021-09-16 20:31:01.373303 : Epoch 10, Batch   1367, Loss  0.873669, Average Loss  0.867649, Time  0.264334
2021-09-16 20:31:04.407229 : Epoch 10, Batch   1368, Loss  0.858503, Average Loss  0.867728, Time  0.264292
2021-09-16 20:31:07.458605 : Epoch 10, Batch   1369, Loss  0.863306, Average Loss  0.867731, Time  0.264213
2021-09-16 20:31:10.489538 : Epoch 10, Batch   1370, Loss  0.875162, Average Loss  0.867751, Time  0.264405
2021-09-16 20:31:13.531510 : Epoch 10, Batch   1371, Loss  0.865634, Average Loss  0.867765, Time  0.263937
2021-09-16 20:31:16.574560 : Epoch 10, Batch   1372, Loss  0.867351, Average Loss  0.867800, Time  0.264206
2021-09-16 20:31:19.620405 : Epoch 10, Batch   1373, Loss  0.857172, Average Loss  0.867699, Time  0.264136
2021-09-16 20:31:22.662106 : Epoch 10, Batch   1374, Loss  0.884564, Average Loss  0.867839, Time  0.264130
2021-09-16 20:31:25.718854 : Epoch 10, Batch   1375, Loss  0.873721, Average Loss  0.868012, Time  0.273955
2021-09-16 20:31:28.756338 : Epoch 10, Batch   1376, Loss  0.876868, Average Loss  0.868098, Time  0.264622
2021-09-16 20:31:31.811895 : Epoch 10, Batch   1377, Loss  0.870977, Average Loss  0.867993, Time  0.264543
2021-09-16 20:31:34.858191 : Epoch 10, Batch   1378, Loss  0.844941, Average Loss  0.868029, Time  0.264112
2021-09-16 20:31:37.908870 : Epoch 10, Batch   1379, Loss  0.864414, Average Loss  0.867966, Time  0.264476
2021-09-16 20:31:40.948549 : Epoch 10, Batch   1380, Loss  0.887976, Average Loss  0.868095, Time  0.264325
2021-09-16 20:31:43.980755 : Epoch 10, Batch   1381, Loss  0.864770, Average Loss  0.868118, Time  0.264268
2021-09-16 20:31:47.021889 : Epoch 10, Batch   1382, Loss  0.876191, Average Loss  0.868159, Time  0.264214
2021-09-16 20:31:50.067278 : Epoch 10, Batch   1383, Loss  0.867287, Average Loss  0.868141, Time  0.264371
2021-09-16 20:31:53.121514 : Epoch 10, Batch   1384, Loss  0.850448, Average Loss  0.868027, Time  0.264308
2021-09-16 20:31:56.173863 : Epoch 10, Batch   1385, Loss  0.876113, Average Loss  0.868084, Time  0.263965
2021-09-16 20:31:59.218692 : Epoch 10, Batch   1386, Loss  0.860389, Average Loss  0.867939, Time  0.264329
2021-09-16 20:32:02.263996 : Epoch 10, Batch   1387, Loss  0.880158, Average Loss  0.868002, Time  0.263779
2021-09-16 20:32:05.313754 : Epoch 10, Batch   1388, Loss  0.847939, Average Loss  0.867994, Time  0.264024
2021-09-16 20:32:08.365350 : Epoch 10, Batch   1389, Loss  0.883919, Average Loss  0.868027, Time  0.264142
2021-09-16 20:32:11.416126 : Epoch 10, Batch   1390, Loss  0.858265, Average Loss  0.868015, Time  0.277776
2021-09-16 20:32:14.465902 : Epoch 10, Batch   1391, Loss  0.870716, Average Loss  0.868084, Time  0.266068
2021-09-16 20:32:17.520878 : Epoch 10, Batch   1392, Loss  0.852663, Average Loss  0.868039, Time  0.264194
2021-09-16 20:32:20.563202 : Epoch 10, Batch   1393, Loss  0.857022, Average Loss  0.867908, Time  0.265166
2021-09-16 20:32:23.602064 : Epoch 10, Batch   1394, Loss  0.867848, Average Loss  0.867780, Time  0.264610
2021-09-16 20:32:26.641999 : Epoch 10, Batch   1395, Loss  0.896968, Average Loss  0.867880, Time  0.264326
2021-09-16 20:32:29.688034 : Epoch 10, Batch   1396, Loss  0.878814, Average Loss  0.867979, Time  0.264714
2021-09-16 20:34:15.742907 : CheckPoint: Validation Loss  0.00029438, Best Loss  0.00028775
2021-09-16 20:34:18.325247 : Epoch  9, Batch    553, Loss  0.837185, Average Loss  0.851361, Time  0.267582
2021-09-16 20:34:20.906035 : Epoch  9, Batch    554, Loss  0.835229, Average Loss  0.851195, Time  0.243633
2021-09-16 20:34:23.472170 : Epoch  9, Batch    555, Loss  0.854328, Average Loss  0.851235, Time  0.237342
2021-09-16 20:34:26.040011 : Epoch  9, Batch    556, Loss  0.825337, Average Loss  0.850979, Time  0.237748
2021-09-16 20:34:28.596786 : Epoch  9, Batch    557, Loss  0.865283, Average Loss  0.851088, Time  0.237833
2021-09-16 20:34:31.149909 : Epoch  9, Batch    558, Loss  0.821979, Average Loss  0.850907, Time  0.237555
2021-09-16 20:34:33.703738 : Epoch  9, Batch    559, Loss  0.824233, Average Loss  0.850844, Time  0.237221
2021-09-16 20:34:36.280288 : Epoch  9, Batch    560, Loss  0.867514, Average Loss  0.850931, Time  0.237852
2021-09-16 20:34:38.836837 : Epoch  9, Batch    561, Loss  0.862697, Average Loss  0.850973, Time  0.237560
2021-09-16 20:34:41.391504 : Epoch  9, Batch    562, Loss  0.833617, Average Loss  0.850824, Time  0.237523
2021-09-16 20:34:43.940933 : Epoch  9, Batch    563, Loss  0.845957, Average Loss  0.850878, Time  0.237248
2021-09-16 20:34:46.500669 : Epoch  9, Batch    564, Loss  0.837174, Average Loss  0.850733, Time  0.239163
2021-09-16 20:34:49.056972 : Epoch  9, Batch    565, Loss  0.865202, Average Loss  0.850854, Time  0.237763
2021-09-16 20:34:51.608474 : Epoch  9, Batch    566, Loss  0.844344, Average Loss  0.850787, Time  0.237557
2021-09-16 20:34:54.170348 : Epoch  9, Batch    567, Loss  0.844901, Average Loss  0.850638, Time  0.238116
2021-09-16 20:34:56.739127 : Epoch  9, Batch    568, Loss  0.839225, Average Loss  0.850542, Time  0.237497
2021-09-16 20:34:59.306179 : Epoch  9, Batch    569, Loss  0.847235, Average Loss  0.850480, Time  0.237575
2021-09-16 20:35:01.873182 : Epoch  9, Batch    570, Loss  0.836260, Average Loss  0.850416, Time  0.238071
2021-09-16 20:35:04.426066 : Epoch  9, Batch    571, Loss  0.833450, Average Loss  0.850367, Time  0.238743
2021-09-16 20:35:06.996332 : Epoch  9, Batch    572, Loss  0.835065, Average Loss  0.850330, Time  0.238757
2021-09-16 20:35:09.546795 : Epoch  9, Batch    573, Loss  0.846000, Average Loss  0.850370, Time  0.237710
2021-09-16 20:35:12.136918 : Epoch  9, Batch    574, Loss  0.844939, Average Loss  0.850360, Time  0.238757
2021-09-16 20:35:14.699371 : Epoch  9, Batch    575, Loss  0.834113, Average Loss  0.850228, Time  0.238932
2021-09-16 20:35:17.251669 : Epoch  9, Batch    576, Loss  0.835637, Average Loss  0.850215, Time  0.238217
2021-09-16 20:35:19.807049 : Epoch  9, Batch    577, Loss  0.851379, Average Loss  0.850246, Time  0.237823
2021-09-16 20:35:22.373707 : Epoch  9, Batch    578, Loss  0.840144, Average Loss  0.850271, Time  0.237435
2021-09-16 20:35:24.932102 : Epoch  9, Batch    579, Loss  0.841318, Average Loss  0.850184, Time  0.237613
2021-09-16 20:35:27.485031 : Epoch  9, Batch    580, Loss  0.823688, Average Loss  0.850014, Time  0.237551
2021-09-16 20:35:30.038984 : Epoch  9, Batch    581, Loss  0.844065, Average Loss  0.849840, Time  0.237520
2021-09-16 20:35:32.590194 : Epoch  9, Batch    582, Loss  0.865437, Average Loss  0.849919, Time  0.237361
2021-09-16 20:35:35.144921 : Epoch  9, Batch    583, Loss  0.829623, Average Loss  0.849795, Time  0.237388
2021-09-16 20:35:37.703720 : Epoch  9, Batch    584, Loss  0.859015, Average Loss  0.849839, Time  0.238036
2021-09-16 20:35:40.253873 : Epoch  9, Batch    585, Loss  0.862851, Average Loss  0.849798, Time  0.237644
2021-09-16 20:35:42.821067 : Epoch  9, Batch    586, Loss  0.828536, Average Loss  0.849665, Time  0.237400
2021-09-16 20:35:45.374969 : Epoch  9, Batch    587, Loss  0.850637, Average Loss  0.849680, Time  0.237603
2021-09-16 20:35:47.936744 : Epoch  9, Batch    588, Loss  0.861121, Average Loss  0.849803, Time  0.237600
2021-09-16 20:35:50.486987 : Epoch  9, Batch    589, Loss  0.858698, Average Loss  0.849843, Time  0.237688
2021-09-16 20:35:53.059246 : Epoch  9, Batch    590, Loss  0.842812, Average Loss  0.849765, Time  0.238286
2021-09-16 20:35:55.648948 : Epoch  9, Batch    591, Loss  0.821336, Average Loss  0.849583, Time  0.237659
2021-09-16 20:35:58.210989 : Epoch  9, Batch    592, Loss  0.851606, Average Loss  0.849637, Time  0.237796
2021-09-16 20:36:00.769708 : Epoch  9, Batch    593, Loss  0.832041, Average Loss  0.849535, Time  0.237399
2021-09-16 20:36:03.354037 : Epoch  9, Batch    594, Loss  0.845141, Average Loss  0.849557, Time  0.238146
2021-09-16 20:36:05.912922 : Epoch  9, Batch    595, Loss  0.819577, Average Loss  0.849405, Time  0.237446
2021-09-16 20:36:08.471984 : Epoch  9, Batch    596, Loss  0.841589, Average Loss  0.849447, Time  0.238330
2021-09-16 20:36:11.034185 : Epoch  9, Batch    597, Loss  0.854119, Average Loss  0.849411, Time  0.237562
2021-09-16 20:36:13.591228 : Epoch  9, Batch    598, Loss  0.856698, Average Loss  0.849477, Time  0.237572
2021-09-16 20:36:16.155922 : Epoch  9, Batch    599, Loss  0.847897, Average Loss  0.849446, Time  0.237715
2021-09-16 20:36:18.720708 : Epoch  9, Batch    600, Loss  0.840711, Average Loss  0.849319, Time  0.237612
2021-09-16 20:36:21.282665 : Epoch  9, Batch    601, Loss  0.858921, Average Loss  0.849379, Time  0.237674
2021-09-16 20:36:23.846953 : Epoch  9, Batch    602, Loss  0.862366, Average Loss  0.849484, Time  0.237592
2021-09-16 20:36:26.428342 : Epoch  9, Batch    603, Loss  0.844749, Average Loss  0.849524, Time  0.237674
2021-09-16 20:36:28.999730 : Epoch  9, Batch    604, Loss  0.849196, Average Loss  0.849579, Time  0.245381
2021-09-16 20:36:31.563218 : Epoch  9, Batch    605, Loss  0.835614, Average Loss  0.849510, Time  0.237623
2021-09-16 20:36:34.128703 : Epoch  9, Batch    606, Loss  0.850797, Average Loss  0.849504, Time  0.237710
2021-09-16 20:36:36.695079 : Epoch  9, Batch    607, Loss  0.843343, Average Loss  0.849372, Time  0.237685
2021-09-16 20:36:39.253932 : Epoch  9, Batch    608, Loss  0.852494, Average Loss  0.849367, Time  0.237614
2021-09-16 20:36:41.816991 : Epoch  9, Batch    609, Loss  0.840574, Average Loss  0.849337, Time  0.238029
2021-09-16 20:36:44.370073 : Epoch  9, Batch    610, Loss  0.873297, Average Loss  0.849356, Time  0.237472
2021-09-16 20:36:46.940695 : Epoch  9, Batch    611, Loss  0.855597, Average Loss  0.849406, Time  0.237673
2021-09-16 20:36:49.496956 : Epoch  9, Batch    612, Loss  0.849078, Average Loss  0.849421, Time  0.237906
2021-09-16 20:36:52.081119 : Epoch  9, Batch    613, Loss  0.851049, Average Loss  0.849435, Time  0.237309
2021-09-16 20:36:54.639688 : Epoch  9, Batch    614, Loss  0.834263, Average Loss  0.849287, Time  0.238206
2021-09-16 20:36:57.209040 : Epoch  9, Batch    615, Loss  0.822975, Average Loss  0.849204, Time  0.237404
2021-09-16 20:36:59.771033 : Epoch  9, Batch    616, Loss  0.863885, Average Loss  0.849173, Time  0.237824
2021-09-16 20:37:02.334958 : Epoch  9, Batch    617, Loss  0.849327, Average Loss  0.849090, Time  0.237618
2021-09-16 20:37:04.897007 : Epoch  9, Batch    618, Loss  0.868004, Average Loss  0.849157, Time  0.237783
2021-09-16 20:37:07.476305 : Epoch  9, Batch    619, Loss  0.860938, Average Loss  0.849063, Time  0.237275
2021-09-16 20:37:10.044047 : Epoch  9, Batch    620, Loss  0.853633, Average Loss  0.849092, Time  0.238336
2021-09-16 20:37:10.726466 : CheckPoint: Validation Loss  0.00029792, Best Loss  0.00029014
2021-09-16 20:37:12.592195 : Epoch  9, Batch    621, Loss  0.828698, Average Loss  0.848997, Time  0.237650
2021-09-16 20:37:13.766805 : Epoch 10, Batch   1397, Loss  0.868265, Average Loss  0.868011, Time  0.263952
2021-09-16 20:37:15.144968 : Epoch  9, Batch    622, Loss  0.835074, Average Loss  0.848894, Time  0.237635
2021-09-16 20:37:16.804520 : Epoch 10, Batch   1398, Loss  0.879804, Average Loss  0.868069, Time  0.264507
2021-09-16 20:37:17.707199 : Epoch  9, Batch    623, Loss  0.863635, Average Loss  0.848940, Time  0.237637
2021-09-16 20:37:19.851291 : Epoch 10, Batch   1399, Loss  0.862698, Average Loss  0.867936, Time  0.264232
2021-09-16 20:37:20.264771 : Epoch  9, Batch    624, Loss  0.848035, Average Loss  0.848972, Time  0.237945
2021-09-16 20:37:22.813966 : Epoch  9, Batch    625, Loss  0.853324, Average Loss  0.848876, Time  0.237517
2021-09-16 20:37:22.881271 : Epoch 10, Batch   1400, Loss  0.900854, Average Loss  0.868028, Time  0.264153
2021-09-16 20:37:25.379857 : Epoch  9, Batch    626, Loss  0.831175, Average Loss  0.848628, Time  0.237555
2021-09-16 20:37:25.918847 : Epoch 10, Batch   1401, Loss  0.867018, Average Loss  0.868044, Time  0.264182
2021-09-16 20:37:27.935261 : Epoch  9, Batch    627, Loss  0.832338, Average Loss  0.848460, Time  0.237386
2021-09-16 20:37:28.965817 : Epoch 10, Batch   1402, Loss  0.869378, Average Loss  0.868099, Time  0.276277
2021-09-16 20:37:30.533915 : Epoch  9, Batch    628, Loss  0.841692, Average Loss  0.848426, Time  0.237541
2021-09-16 20:37:31.999123 : Epoch 10, Batch   1403, Loss  0.850760, Average Loss  0.867968, Time  0.265023
2021-09-16 20:37:33.090982 : Epoch  9, Batch    629, Loss  0.827326, Average Loss  0.848294, Time  0.237971
2021-09-16 20:37:35.042958 : Epoch 10, Batch   1404, Loss  0.862779, Average Loss  0.867939, Time  0.264637
2021-09-16 20:37:35.646205 : Epoch  9, Batch    630, Loss  0.829101, Average Loss  0.848245, Time  0.238247
2021-09-16 20:37:38.072028 : Epoch 10, Batch   1405, Loss  0.871922, Average Loss  0.868138, Time  0.263607
2021-09-16 20:37:38.206750 : Epoch  9, Batch    631, Loss  0.834782, Average Loss  0.848193, Time  0.237630
2021-09-16 20:37:40.751702 : Epoch  9, Batch    632, Loss  0.859262, Average Loss  0.848244, Time  0.237744
2021-09-16 20:37:41.103141 : Epoch 10, Batch   1406, Loss  0.867626, Average Loss  0.868069, Time  0.264169
2021-09-16 20:37:43.305682 : Epoch  9, Batch    633, Loss  0.865690, Average Loss  0.848221, Time  0.237966
2021-09-16 20:37:44.127372 : Epoch 10, Batch   1407, Loss  0.852094, Average Loss  0.867981, Time  0.264688
2021-09-16 20:37:45.873961 : Epoch  9, Batch    634, Loss  0.823214, Average Loss  0.848016, Time  0.237682
2021-09-16 20:37:47.166050 : Epoch 10, Batch   1408, Loss  0.869862, Average Loss  0.868093, Time  0.264628
2021-09-16 20:37:48.585916 : Epoch  9, Batch    635, Loss  0.853996, Average Loss  0.848054, Time  0.237434
2021-09-16 20:37:50.203531 : Epoch 10, Batch   1409, Loss  0.862601, Average Loss  0.868116, Time  0.264420
2021-09-16 20:37:51.150093 : Epoch  9, Batch    636, Loss  0.848812, Average Loss  0.848068, Time  0.237611
2021-09-16 20:37:53.246040 : Epoch 10, Batch   1410, Loss  0.854817, Average Loss  0.868037, Time  0.264400
2021-09-16 20:37:53.715202 : Epoch  9, Batch    637, Loss  0.832699, Average Loss  0.847952, Time  0.237907
2021-09-16 20:37:56.270053 : Epoch  9, Batch    638, Loss  0.843959, Average Loss  0.847974, Time  0.237754
2021-09-16 20:37:56.285845 : Epoch 10, Batch   1411, Loss  0.859623, Average Loss  0.868061, Time  0.264211
2021-09-16 20:37:58.831916 : Epoch  9, Batch    639, Loss  0.855690, Average Loss  0.848075, Time  0.238270
2021-09-16 20:37:59.337732 : Epoch 10, Batch   1412, Loss  0.866074, Average Loss  0.868043, Time  0.264658
2021-09-16 20:38:01.378569 : Epoch  9, Batch    640, Loss  0.824313, Average Loss  0.847934, Time  0.237900
2021-09-16 20:38:02.362776 : Epoch 10, Batch   1413, Loss  0.872737, Average Loss  0.868042, Time  0.264748
2021-09-16 20:38:03.938184 : Epoch  9, Batch    641, Loss  0.850005, Average Loss  0.847970, Time  0.237566
2021-09-16 20:38:05.390908 : Epoch 10, Batch   1414, Loss  0.840622, Average Loss  0.868024, Time  0.264024
2021-09-16 20:38:06.498701 : Epoch  9, Batch    642, Loss  0.849926, Average Loss  0.847934, Time  0.237491
2021-09-16 20:38:08.425855 : Epoch 10, Batch   1415, Loss  0.847160, Average Loss  0.867968, Time  0.264539
2021-09-16 20:38:09.071088 : Epoch  9, Batch    643, Loss  0.860806, Average Loss  0.847913, Time  0.238279
2021-09-16 20:38:11.474117 : Epoch 10, Batch   1416, Loss  0.846936, Average Loss  0.867948, Time  0.264262
2021-09-16 20:38:11.624206 : Epoch  9, Batch    644, Loss  0.840564, Average Loss  0.847866, Time  0.237701
2021-09-16 20:38:14.174955 : Epoch  9, Batch    645, Loss  0.839283, Average Loss  0.847872, Time  0.238032
2021-09-16 20:38:14.514067 : Epoch 10, Batch   1417, Loss  0.872520, Average Loss  0.867989, Time  0.271857
2021-09-16 20:38:16.727930 : Epoch  9, Batch    646, Loss  0.846524, Average Loss  0.847930, Time  0.237497
2021-09-16 20:38:17.536248 : Epoch 10, Batch   1418, Loss  0.846639, Average Loss  0.867888, Time  0.264454
2021-09-16 20:38:19.289731 : Epoch  9, Batch    647, Loss  0.833616, Average Loss  0.847706, Time  0.237373
2021-09-16 20:38:20.565699 : Epoch 10, Batch   1419, Loss  0.863425, Average Loss  0.867781, Time  0.263754
2021-09-16 20:38:21.860661 : Epoch  9, Batch    648, Loss  0.826731, Average Loss  0.847657, Time  0.240901
2021-09-16 20:38:23.607511 : Epoch 10, Batch   1420, Loss  0.860826, Average Loss  0.867721, Time  0.264400
2021-09-16 20:38:24.417997 : Epoch  9, Batch    649, Loss  0.855889, Average Loss  0.847593, Time  0.237666
2021-09-16 20:38:26.639120 : Epoch 10, Batch   1421, Loss  0.860188, Average Loss  0.867744, Time  0.264173
2021-09-16 20:38:26.975684 : Epoch  9, Batch    650, Loss  0.852538, Average Loss  0.847564, Time  0.237470
2021-09-16 20:38:29.530758 : Epoch  9, Batch    651, Loss  0.846535, Average Loss  0.847455, Time  0.237820
2021-09-16 20:38:29.674199 : Epoch 10, Batch   1422, Loss  0.852913, Average Loss  0.867700, Time  0.264367
2021-09-16 20:38:32.087711 : Epoch  9, Batch    652, Loss  0.842520, Average Loss  0.847379, Time  0.237492
2021-09-16 20:38:32.697207 : Epoch 10, Batch   1423, Loss  0.873969, Average Loss  0.867693, Time  0.264037
2021-09-16 20:38:35.728835 : Epoch 10, Batch   1424, Loss  0.894687, Average Loss  0.867899, Time  0.264172
2021-09-16 20:38:38.758625 : Epoch 10, Batch   1425, Loss  0.842055, Average Loss  0.867782, Time  0.263977
2021-09-16 20:38:41.797866 : Epoch 10, Batch   1426, Loss  0.857958, Average Loss  0.867737, Time  0.266342
2021-09-16 20:38:44.823989 : Epoch 10, Batch   1427, Loss  0.885662, Average Loss  0.867915, Time  0.264007
2021-09-16 20:38:47.856842 : Epoch 10, Batch   1428, Loss  0.868810, Average Loss  0.867854, Time  0.264150
2021-09-16 20:38:50.892052 : Epoch 10, Batch   1429, Loss  0.855989, Average Loss  0.867712, Time  0.263734
2021-09-16 20:38:53.921175 : Epoch 10, Batch   1430, Loss  0.859130, Average Loss  0.867618, Time  0.264625
2021-09-16 20:38:56.947657 : Epoch 10, Batch   1431, Loss  0.880647, Average Loss  0.867767, Time  0.264479
2021-09-16 20:38:59.989693 : Epoch 10, Batch   1432, Loss  0.885161, Average Loss  0.867760, Time  0.270148
2021-09-16 20:39:03.022755 : Epoch 10, Batch   1433, Loss  0.866083, Average Loss  0.867870, Time  0.264387
2021-09-16 20:39:06.053820 : Epoch 10, Batch   1434, Loss  0.885623, Average Loss  0.867972, Time  0.264462
2021-09-16 20:39:09.077140 : Epoch 10, Batch   1435, Loss  0.873553, Average Loss  0.868085, Time  0.264075
2021-09-16 20:39:12.105930 : Epoch 10, Batch   1436, Loss  0.853406, Average Loss  0.868017, Time  0.264035
2021-09-16 20:39:15.132701 : Epoch 10, Batch   1437, Loss  0.875811, Average Loss  0.868120, Time  0.264227
2021-09-16 20:39:18.169760 : Epoch 10, Batch   1438, Loss  0.855809, Average Loss  0.868114, Time  0.263924
2021-09-16 20:39:21.208169 : Epoch 10, Batch   1439, Loss  0.848151, Average Loss  0.867986, Time  0.263831
2021-09-16 20:39:24.232273 : Epoch 10, Batch   1440, Loss  0.869339, Average Loss  0.868049, Time  0.264336
2021-09-16 20:39:27.267129 : Epoch 10, Batch   1441, Loss  0.886701, Average Loss  0.868270, Time  0.264587
2021-09-16 20:39:30.300187 : Epoch 10, Batch   1442, Loss  0.885962, Average Loss  0.868374, Time  0.264875
2021-09-16 20:39:33.347017 : Epoch 10, Batch   1443, Loss  0.858318, Average Loss  0.868419, Time  0.264190
2021-09-16 20:39:36.368819 : Epoch 10, Batch   1444, Loss  0.886635, Average Loss  0.868530, Time  0.264160
2021-09-16 20:39:39.399929 : Epoch 10, Batch   1445, Loss  0.879471, Average Loss  0.868546, Time  0.264208
2021-09-16 20:39:42.430835 : Epoch 10, Batch   1446, Loss  0.882719, Average Loss  0.868596, Time  0.263794
2021-09-16 20:39:45.474251 : Epoch 10, Batch   1447, Loss  0.859020, Average Loss  0.868551, Time  0.278386
2021-09-16 20:39:48.510752 : Epoch 10, Batch   1448, Loss  0.855127, Average Loss  0.868470, Time  0.265062
2021-09-16 20:39:51.530692 : Epoch 10, Batch   1449, Loss  0.877552, Average Loss  0.868460, Time  0.264160
2021-09-16 20:39:54.566631 : Epoch 10, Batch   1450, Loss  0.848681, Average Loss  0.868262, Time  0.264179
2021-09-16 20:39:57.606327 : Epoch 10, Batch   1451, Loss  0.861825, Average Loss  0.868277, Time  0.264401
2021-09-16 20:40:00.645439 : Epoch 10, Batch   1452, Loss  0.866449, Average Loss  0.868323, Time  0.264276
2021-09-16 20:40:03.694100 : Epoch 10, Batch   1453, Loss  0.884203, Average Loss  0.868292, Time  0.264656
2021-09-16 20:40:06.726194 : Epoch 10, Batch   1454, Loss  0.872141, Average Loss  0.868323, Time  0.264567
2021-09-16 20:40:09.754935 : Epoch 10, Batch   1455, Loss  0.877366, Average Loss  0.868293, Time  0.264367
2021-09-16 20:40:12.789311 : Epoch 10, Batch   1456, Loss  0.889965, Average Loss  0.868434, Time  0.264544
2021-09-16 20:40:15.816108 : Epoch 10, Batch   1457, Loss  0.870326, Average Loss  0.868344, Time  0.264371
2021-09-16 20:40:18.848181 : Epoch 10, Batch   1458, Loss  0.855616, Average Loss  0.868254, Time  0.265389
2021-09-16 20:40:21.879094 : Epoch 10, Batch   1459, Loss  0.874794, Average Loss  0.868265, Time  0.264390
2021-09-16 20:40:24.916959 : Epoch 10, Batch   1460, Loss  0.856258, Average Loss  0.868247, Time  0.264673
2021-09-16 20:40:27.949215 : Epoch 10, Batch   1461, Loss  0.879644, Average Loss  0.868399, Time  0.264791
2021-09-16 20:40:30.996268 : Epoch 10, Batch   1462, Loss  0.839878, Average Loss  0.868144, Time  0.274769
2021-09-16 20:40:34.026132 : Epoch 10, Batch   1463, Loss  0.886190, Average Loss  0.868247, Time  0.264176
2021-09-16 20:40:37.060214 : Epoch 10, Batch   1464, Loss  0.865733, Average Loss  0.868274, Time  0.264419
2021-09-16 20:40:40.092135 : Epoch 10, Batch   1465, Loss  0.869679, Average Loss  0.868282, Time  0.264133
2021-09-16 20:40:43.134119 : Epoch 10, Batch   1466, Loss  0.870308, Average Loss  0.868349, Time  0.264411
2021-09-16 20:40:46.181271 : Epoch 10, Batch   1467, Loss  0.856582, Average Loss  0.868304, Time  0.264584
2021-09-16 20:40:49.220746 : Epoch 10, Batch   1468, Loss  0.875186, Average Loss  0.868465, Time  0.265084
2021-09-16 20:40:52.249717 : Epoch 10, Batch   1469, Loss  0.879733, Average Loss  0.868663, Time  0.264054
2021-09-16 20:40:55.284760 : Epoch 10, Batch   1470, Loss  0.876964, Average Loss  0.868672, Time  0.264355
2021-09-16 20:40:58.345029 : Epoch 10, Batch   1471, Loss  0.863550, Average Loss  0.868666, Time  0.264780
2021-09-16 20:41:01.380944 : Epoch 10, Batch   1472, Loss  0.874812, Average Loss  0.868741, Time  0.264246
2021-09-16 20:41:04.411125 : Epoch 10, Batch   1473, Loss  0.878808, Average Loss  0.868677, Time  0.264063
2021-09-16 20:41:07.442221 : Epoch 10, Batch   1474, Loss  0.869001, Average Loss  0.868651, Time  0.264241
2021-09-16 20:41:10.470510 : Epoch 10, Batch   1475, Loss  0.880781, Average Loss  0.868711, Time  0.264119
2021-09-16 20:41:13.500577 : Epoch 10, Batch   1476, Loss  0.866591, Average Loss  0.868781, Time  0.264122
2021-09-16 20:41:16.541437 : Epoch 10, Batch   1477, Loss  0.862683, Average Loss  0.868870, Time  0.278067
2021-09-16 20:41:19.573590 : Epoch 10, Batch   1478, Loss  0.848324, Average Loss  0.868807, Time  0.264640
2021-09-16 20:41:22.595756 : Epoch 10, Batch   1479, Loss  0.877496, Average Loss  0.869002, Time  0.264343
2021-09-16 20:41:25.633831 : Epoch 10, Batch   1480, Loss  0.869079, Average Loss  0.869047, Time  0.264224
2021-09-16 20:41:28.662904 : Epoch 10, Batch   1481, Loss  0.891181, Average Loss  0.869002, Time  0.264327
2021-09-16 20:41:31.697421 : Epoch 10, Batch   1482, Loss  0.834818, Average Loss  0.868765, Time  0.264032
2021-09-16 20:41:34.726610 : Epoch 10, Batch   1483, Loss  0.875846, Average Loss  0.868748, Time  0.264486
2021-09-16 20:41:37.760857 : Epoch 10, Batch   1484, Loss  0.864892, Average Loss  0.868730, Time  0.264492
2021-09-16 20:41:40.801755 : Epoch 10, Batch   1485, Loss  0.867597, Average Loss  0.868568, Time  0.264379
2021-09-16 20:41:43.846976 : Epoch 10, Batch   1486, Loss  0.860614, Average Loss  0.868588, Time  0.264272
2021-09-16 20:41:46.882109 : Epoch 10, Batch   1487, Loss  0.870355, Average Loss  0.868666, Time  0.263961
2021-09-16 20:41:49.913438 : Epoch 10, Batch   1488, Loss  0.847781, Average Loss  0.868612, Time  0.264563
2021-09-16 20:41:52.943185 : Epoch 10, Batch   1489, Loss  0.892188, Average Loss  0.868699, Time  0.264431
2021-09-16 20:41:55.974215 : Epoch 10, Batch   1490, Loss  0.882522, Average Loss  0.868759, Time  0.264246
2021-09-16 20:41:59.006006 : Epoch 10, Batch   1491, Loss  0.891072, Average Loss  0.868869, Time  0.264105
2021-09-16 20:42:02.046825 : Epoch 10, Batch   1492, Loss  0.873543, Average Loss  0.868931, Time  0.278395
2021-09-16 20:42:05.099052 : Epoch 10, Batch   1493, Loss  0.861477, Average Loss  0.868795, Time  0.265244
2021-09-16 20:42:08.126739 : Epoch 10, Batch   1494, Loss  0.855726, Average Loss  0.868699, Time  0.264361
2021-09-16 20:42:11.159855 : Epoch 10, Batch   1495, Loss  0.878474, Average Loss  0.868662, Time  0.264114
2021-09-16 20:42:14.195836 : Epoch 10, Batch   1496, Loss  0.882362, Average Loss  0.868793, Time  0.264147
2021-09-16 20:42:27.712677 : CheckPoint: Validation Loss  0.00029315, Best Loss  0.00028775
2021-09-16 20:42:30.275660 : Epoch  9, Batch    653, Loss  0.840303, Average Loss  0.847263, Time  0.237562
2021-09-16 20:42:32.849055 : Epoch  9, Batch    654, Loss  0.839534, Average Loss  0.847163, Time  0.237307
2021-09-16 20:42:35.433744 : Epoch  9, Batch    655, Loss  0.852818, Average Loss  0.847218, Time  0.237794
2021-09-16 20:42:38.022278 : Epoch  9, Batch    656, Loss  0.838269, Average Loss  0.847175, Time  0.238233
2021-09-16 20:42:40.600704 : Epoch  9, Batch    657, Loss  0.833813, Average Loss  0.846990, Time  0.237311
2021-09-16 20:42:43.199204 : Epoch  9, Batch    658, Loss  0.861775, Average Loss  0.847031, Time  0.238321
2021-09-16 20:42:45.782338 : Epoch  9, Batch    659, Loss  0.826674, Average Loss  0.846957, Time  0.239509
2021-09-16 20:42:48.361939 : Epoch  9, Batch    660, Loss  0.869112, Average Loss  0.847006, Time  0.237734
2021-09-16 20:42:50.944947 : Epoch  9, Batch    661, Loss  0.841710, Average Loss  0.846987, Time  0.237109
2021-09-16 20:42:53.520176 : Epoch  9, Batch    662, Loss  0.851628, Average Loss  0.846981, Time  0.237720
2021-09-16 20:42:56.110001 : Epoch  9, Batch    663, Loss  0.817692, Average Loss  0.846807, Time  0.237850
2021-09-16 20:42:58.699923 : Epoch  9, Batch    664, Loss  0.840593, Average Loss  0.846719, Time  0.237744
2021-09-16 20:43:01.281107 : Epoch  9, Batch    665, Loss  0.837310, Average Loss  0.846615, Time  0.237401
2021-09-16 20:43:03.869005 : Epoch  9, Batch    666, Loss  0.845662, Average Loss  0.846532, Time  0.237379
2021-09-16 20:43:06.448238 : Epoch  9, Batch    667, Loss  0.840848, Average Loss  0.846465, Time  0.237935
2021-09-16 20:43:09.029947 : Epoch  9, Batch    668, Loss  0.845858, Average Loss  0.846373, Time  0.237529
2021-09-16 20:43:11.613787 : Epoch  9, Batch    669, Loss  0.816327, Average Loss  0.846189, Time  0.237706
2021-09-16 20:43:14.198689 : Epoch  9, Batch    670, Loss  0.850668, Average Loss  0.846097, Time  0.237568
2021-09-16 20:43:16.790184 : Epoch  9, Batch    671, Loss  0.828254, Average Loss  0.846098, Time  0.237617
2021-09-16 20:43:19.376919 : Epoch  9, Batch    672, Loss  0.837608, Average Loss  0.846016, Time  0.237571
2021-09-16 20:43:21.952213 : Epoch  9, Batch    673, Loss  0.855274, Average Loss  0.845978, Time  0.237629
2021-09-16 20:43:24.546040 : Epoch  9, Batch    674, Loss  0.850375, Average Loss  0.846062, Time  0.237718
2021-09-16 20:43:27.118986 : Epoch  9, Batch    675, Loss  0.833511, Average Loss  0.846019, Time  0.237484
2021-09-16 20:43:29.713754 : Epoch  9, Batch    676, Loss  0.849162, Average Loss  0.846044, Time  0.237853
2021-09-16 20:43:32.288210 : Epoch  9, Batch    677, Loss  0.844837, Average Loss  0.846095, Time  0.237315
2021-09-16 20:43:34.869035 : Epoch  9, Batch    678, Loss  0.833973, Average Loss  0.846118, Time  0.238005
2021-09-16 20:43:37.447742 : Epoch  9, Batch    679, Loss  0.861033, Average Loss  0.846178, Time  0.237623
2021-09-16 20:43:40.029340 : Epoch  9, Batch    680, Loss  0.824948, Average Loss  0.846036, Time  0.238557
2021-09-16 20:43:42.607745 : Epoch  9, Batch    681, Loss  0.857126, Average Loss  0.846012, Time  0.237259
2021-09-16 20:43:45.185307 : Epoch  9, Batch    682, Loss  0.817933, Average Loss  0.845842, Time  0.238215
2021-09-16 20:43:47.760883 : Epoch  9, Batch    683, Loss  0.839841, Average Loss  0.845829, Time  0.237482
2021-09-16 20:43:50.329535 : Epoch  9, Batch    684, Loss  0.852483, Average Loss  0.845851, Time  0.237913
2021-09-16 20:43:52.910280 : Epoch  9, Batch    685, Loss  0.876074, Average Loss  0.845975, Time  0.239248
2021-09-16 20:43:55.497263 : Epoch  9, Batch    686, Loss  0.848812, Average Loss  0.845903, Time  0.238122
2021-09-16 20:43:58.078304 : Epoch  9, Batch    687, Loss  0.885607, Average Loss  0.846057, Time  0.237549
2021-09-16 20:44:00.654917 : Epoch  9, Batch    688, Loss  0.864150, Average Loss  0.846097, Time  0.237408
2021-09-16 20:44:03.265001 : Epoch  9, Batch    689, Loss  0.858263, Average Loss  0.846209, Time  0.237768
2021-09-16 20:44:05.830963 : Epoch  9, Batch    690, Loss  0.814304, Average Loss  0.846035, Time  0.237492
2021-09-16 20:44:08.411050 : Epoch  9, Batch    691, Loss  0.827984, Average Loss  0.845848, Time  0.237657
2021-09-16 20:44:10.992208 : Epoch  9, Batch    692, Loss  0.842025, Average Loss  0.845736, Time  0.237356
2021-09-16 20:44:13.567039 : Epoch  9, Batch    693, Loss  0.854074, Average Loss  0.845827, Time  0.237548
2021-09-16 20:44:16.143181 : Epoch  9, Batch    694, Loss  0.867169, Average Loss  0.845895, Time  0.237447
2021-09-16 20:44:18.730709 : Epoch  9, Batch    695, Loss  0.839842, Average Loss  0.845827, Time  0.237434
2021-09-16 20:44:21.303282 : Epoch  9, Batch    696, Loss  0.861384, Average Loss  0.845919, Time  0.237947
2021-09-16 20:44:23.882450 : Epoch  9, Batch    697, Loss  0.823004, Average Loss  0.845801, Time  0.237791
2021-09-16 20:44:26.454268 : Epoch  9, Batch    698, Loss  0.838084, Average Loss  0.845720, Time  0.237746
2021-09-16 20:44:29.032007 : Epoch  9, Batch    699, Loss  0.833957, Average Loss  0.845688, Time  0.237413
2021-09-16 20:44:31.618944 : Epoch  9, Batch    700, Loss  0.849751, Average Loss  0.845663, Time  0.237500
2021-09-16 20:44:34.194994 : Epoch  9, Batch    701, Loss  0.850547, Average Loss  0.845719, Time  0.237339
2021-09-16 20:44:36.765775 : Epoch  9, Batch    702, Loss  0.852605, Average Loss  0.845762, Time  0.237750
2021-09-16 20:44:39.346961 : Epoch  9, Batch    703, Loss  0.850654, Average Loss  0.845713, Time  0.237784
2021-09-16 20:44:41.931943 : Epoch  9, Batch    704, Loss  0.853127, Average Loss  0.845736, Time  0.237636
2021-09-16 20:44:44.506989 : Epoch  9, Batch    705, Loss  0.843272, Average Loss  0.845644, Time  0.237716
2021-09-16 20:44:47.092034 : Epoch  9, Batch    706, Loss  0.814274, Average Loss  0.845567, Time  0.238700
2021-09-16 20:44:49.667708 : Epoch  9, Batch    707, Loss  0.833563, Average Loss  0.845471, Time  0.238002
2021-09-16 20:44:52.236919 : Epoch  9, Batch    708, Loss  0.836768, Average Loss  0.845374, Time  0.237361
2021-09-16 20:44:54.810699 : Epoch  9, Batch    709, Loss  0.844209, Average Loss  0.845312, Time  0.238173
2021-09-16 20:44:57.380721 : Epoch  9, Batch    710, Loss  0.853910, Average Loss  0.845231, Time  0.237372
2021-09-16 20:44:59.966174 : Epoch  9, Batch    711, Loss  0.857026, Average Loss  0.845191, Time  0.237455
2021-09-16 20:45:02.545187 : Epoch  9, Batch    712, Loss  0.856990, Average Loss  0.845119, Time  0.237622
2021-09-16 20:45:05.132725 : Epoch  9, Batch    713, Loss  0.834824, Average Loss  0.845222, Time  0.237884
2021-09-16 20:45:07.710918 : Epoch  9, Batch    714, Loss  0.853621, Average Loss  0.845160, Time  0.238400
2021-09-16 20:45:10.286712 : Epoch  9, Batch    715, Loss  0.840165, Average Loss  0.845241, Time  0.237600
2021-09-16 20:45:12.867004 : Epoch  9, Batch    716, Loss  0.856188, Average Loss  0.845202, Time  0.237762
2021-09-16 20:45:15.448818 : Epoch  9, Batch    717, Loss  0.831240, Average Loss  0.845075, Time  0.238283
2021-09-16 20:45:18.031694 : Epoch  9, Batch    718, Loss  0.841958, Average Loss  0.844995, Time  0.237616
2021-09-16 20:45:20.607316 : Epoch  9, Batch    719, Loss  0.822067, Average Loss  0.844734, Time  0.237813
2021-09-16 20:45:23.186999 : Epoch  9, Batch    720, Loss  0.865728, Average Loss  0.844952, Time  0.237901
2021-09-16 20:45:25.771202 : Epoch  9, Batch    721, Loss  0.849072, Average Loss  0.844964, Time  0.237443
2021-09-16 20:45:28.349975 : Epoch  9, Batch    722, Loss  0.858806, Average Loss  0.845062, Time  0.237383
2021-09-16 20:45:30.923010 : Epoch  9, Batch    723, Loss  0.848630, Average Loss  0.845127, Time  0.237387
2021-09-16 20:45:33.498942 : Epoch  9, Batch    724, Loss  0.834192, Average Loss  0.844972, Time  0.237594
2021-09-16 20:45:36.079713 : Epoch  9, Batch    725, Loss  0.848224, Average Loss  0.844987, Time  0.237320
2021-09-16 20:45:38.661670 : Epoch  9, Batch    726, Loss  0.847751, Average Loss  0.844990, Time  0.237628
2021-09-16 20:45:41.245987 : Epoch  9, Batch    727, Loss  0.841198, Average Loss  0.844922, Time  0.237982
2021-09-16 20:45:43.816691 : Epoch  9, Batch    728, Loss  0.848630, Average Loss  0.844916, Time  0.237993
2021-09-16 20:45:46.396114 : Epoch  9, Batch    729, Loss  0.836588, Average Loss  0.844915, Time  0.238217
2021-09-16 20:45:48.984543 : Epoch  9, Batch    730, Loss  0.838793, Average Loss  0.844917, Time  0.237803
2021-09-16 20:45:51.564760 : Epoch  9, Batch    731, Loss  0.851993, Average Loss  0.845029, Time  0.237787
2021-09-16 20:45:54.152753 : Epoch  9, Batch    732, Loss  0.846386, Average Loss  0.845037, Time  0.237674
2021-09-16 20:45:56.732811 : Epoch  9, Batch    733, Loss  0.858810, Average Loss  0.845069, Time  0.237751
2021-09-16 20:45:59.312875 : Epoch  9, Batch    734, Loss  0.814668, Average Loss  0.844872, Time  0.237738
2021-09-16 20:46:01.883476 : Epoch  9, Batch    735, Loss  0.832872, Average Loss  0.844746, Time  0.237740
2021-09-16 20:46:04.469864 : Epoch  9, Batch    736, Loss  0.857691, Average Loss  0.844823, Time  0.237523
2021-09-16 20:46:07.055910 : Epoch  9, Batch    737, Loss  0.855355, Average Loss  0.844803, Time  0.237283
2021-09-16 20:46:09.636704 : Epoch  9, Batch    738, Loss  0.805753, Average Loss  0.844709, Time  0.237360
2021-09-16 20:46:12.211077 : Epoch  9, Batch    739, Loss  0.850652, Average Loss  0.844889, Time  0.237313
2021-09-16 20:46:14.789739 : Epoch  9, Batch    740, Loss  0.834409, Average Loss  0.844657, Time  0.237443
2021-09-16 20:46:17.363112 : Epoch  9, Batch    741, Loss  0.837581, Average Loss  0.844617, Time  0.237276
2021-09-16 20:46:19.940978 : Epoch  9, Batch    742, Loss  0.844600, Average Loss  0.844602, Time  0.237727
2021-09-16 20:46:22.521859 : Epoch  9, Batch    743, Loss  0.837284, Average Loss  0.844503, Time  0.237580
2021-09-16 20:46:25.104132 : Epoch  9, Batch    744, Loss  0.850599, Average Loss  0.844569, Time  0.237706
2021-09-16 20:46:27.688671 : Epoch  9, Batch    745, Loss  0.831094, Average Loss  0.844492, Time  0.237803
2021-09-16 20:46:30.269877 : Epoch  9, Batch    746, Loss  0.822432, Average Loss  0.844330, Time  0.237679
2021-09-16 20:46:32.843087 : Epoch  9, Batch    747, Loss  0.840526, Average Loss  0.844337, Time  0.237407
2021-09-16 20:46:35.433678 : Epoch  9, Batch    748, Loss  0.835646, Average Loss  0.844365, Time  0.237465
2021-09-16 20:46:38.007957 : Epoch  9, Batch    749, Loss  0.855954, Average Loss  0.844355, Time  0.237714
2021-09-16 20:46:40.580969 : Epoch  9, Batch    750, Loss  0.823356, Average Loss  0.844174, Time  0.237992
2021-09-16 20:46:43.162891 : Epoch  9, Batch    751, Loss  0.858293, Average Loss  0.844182, Time  0.239669
2021-09-16 20:46:45.739773 : Epoch  9, Batch    752, Loss  0.853782, Average Loss  0.844253, Time  0.238192
2021-09-16 20:46:55.414200 : CheckPoint: Validation Loss  0.00030934, Best Loss  0.00029014
2021-09-16 20:46:58.454893 : Epoch 10, Batch   1497, Loss  0.845805, Average Loss  0.868633, Time  0.263971
2021-09-16 20:47:01.508693 : Epoch 10, Batch   1498, Loss  0.886447, Average Loss  0.868776, Time  0.264287
2021-09-16 20:47:04.547988 : Epoch 10, Batch   1499, Loss  0.875121, Average Loss  0.868800, Time  0.263991
2021-09-16 20:47:07.589364 : Epoch 10, Batch   1500, Loss  0.849181, Average Loss  0.868739, Time  0.264318
2021-09-16 20:47:10.630101 : Epoch 10, Batch   1501, Loss  0.860061, Average Loss  0.868560, Time  0.264349
2021-09-16 20:47:13.665052 : Epoch 10, Batch   1502, Loss  0.849858, Average Loss  0.868576, Time  0.264032
2021-09-16 20:47:16.705959 : Epoch 10, Batch   1503, Loss  0.863914, Average Loss  0.868493, Time  0.264505
2021-09-16 20:47:19.761902 : Epoch 10, Batch   1504, Loss  0.858066, Average Loss  0.868487, Time  0.275075
2021-09-16 20:47:22.811170 : Epoch 10, Batch   1505, Loss  0.859717, Average Loss  0.868439, Time  0.264615
2021-09-16 20:47:25.851230 : Epoch 10, Batch   1506, Loss  0.881963, Average Loss  0.868405, Time  0.264395
2021-09-16 20:47:28.885881 : Epoch 10, Batch   1507, Loss  0.854073, Average Loss  0.868330, Time  0.264292
2021-09-16 20:47:31.930792 : Epoch 10, Batch   1508, Loss  0.873874, Average Loss  0.868256, Time  0.264045
2021-09-16 20:47:34.976849 : Epoch 10, Batch   1509, Loss  0.850575, Average Loss  0.868252, Time  0.264094
2021-09-16 20:47:38.019141 : Epoch 10, Batch   1510, Loss  0.853665, Average Loss  0.868311, Time  0.264794
2021-09-16 20:47:41.063357 : Epoch 10, Batch   1511, Loss  0.875589, Average Loss  0.868410, Time  0.264440
2021-09-16 20:47:44.102315 : Epoch 10, Batch   1512, Loss  0.875969, Average Loss  0.868424, Time  0.264627
2021-09-16 20:47:47.157309 : Epoch 10, Batch   1513, Loss  0.850343, Average Loss  0.868277, Time  0.264505
2021-09-16 20:47:50.198111 : Epoch 10, Batch   1514, Loss  0.845052, Average Loss  0.868178, Time  0.264433
2021-09-16 20:47:53.234082 : Epoch 10, Batch   1515, Loss  0.894145, Average Loss  0.868276, Time  0.264229
2021-09-16 20:47:56.273511 : Epoch 10, Batch   1516, Loss  0.881429, Average Loss  0.868324, Time  0.264531
2021-09-16 20:47:59.332122 : Epoch 10, Batch   1517, Loss  0.868436, Average Loss  0.868289, Time  0.264177
2021-09-16 20:48:02.369991 : Epoch 10, Batch   1518, Loss  0.882426, Average Loss  0.868362, Time  0.264738
2021-09-16 20:48:05.423899 : Epoch 10, Batch   1519, Loss  0.860467, Average Loss  0.868284, Time  0.274266
2021-09-16 20:48:08.473821 : Epoch 10, Batch   1520, Loss  0.870160, Average Loss  0.868348, Time  0.264504
2021-09-16 20:48:11.513152 : Epoch 10, Batch   1521, Loss  0.851300, Average Loss  0.868253, Time  0.264268
2021-09-16 20:48:14.545087 : Epoch 10, Batch   1522, Loss  0.860244, Average Loss  0.868229, Time  0.264250
2021-09-16 20:48:17.581843 : Epoch 10, Batch   1523, Loss  0.885697, Average Loss  0.868305, Time  0.264166
2021-09-16 20:48:20.620857 : Epoch 10, Batch   1524, Loss  0.866257, Average Loss  0.868191, Time  0.264211
2021-09-16 20:48:23.658841 : Epoch 10, Batch   1525, Loss  0.888086, Average Loss  0.868145, Time  0.264129
2021-09-16 20:48:26.700095 : Epoch 10, Batch   1526, Loss  0.857889, Average Loss  0.868071, Time  0.264140
2021-09-16 20:48:29.739510 : Epoch 10, Batch   1527, Loss  0.872848, Average Loss  0.868056, Time  0.263965
2021-09-16 20:48:32.772519 : Epoch 10, Batch   1528, Loss  0.868710, Average Loss  0.867967, Time  0.264673
2021-09-16 20:48:35.817710 : Epoch 10, Batch   1529, Loss  0.860176, Average Loss  0.867978, Time  0.266995
2021-09-16 20:48:38.852220 : Epoch 10, Batch   1530, Loss  0.854148, Average Loss  0.867883, Time  0.264322
2021-09-16 20:48:41.898407 : Epoch 10, Batch   1531, Loss  0.879538, Average Loss  0.867923, Time  0.264621
2021-09-16 20:48:44.937515 : Epoch 10, Batch   1532, Loss  0.872910, Average Loss  0.867945, Time  0.264495
2021-09-16 20:48:47.982032 : Epoch 10, Batch   1533, Loss  0.830554, Average Loss  0.867788, Time  0.264323
2021-09-16 20:48:51.032609 : Epoch 10, Batch   1534, Loss  0.892367, Average Loss  0.867926, Time  0.275224
2021-09-16 20:48:54.072852 : Epoch 10, Batch   1535, Loss  0.877909, Average Loss  0.868028, Time  0.264383
2021-09-16 20:48:57.112638 : Epoch 10, Batch   1536, Loss  0.875002, Average Loss  0.867948, Time  0.264297
2021-09-16 20:49:00.167242 : Epoch 10, Batch   1537, Loss  0.873234, Average Loss  0.867905, Time  0.264293
2021-09-16 20:49:03.213697 : Epoch 10, Batch   1538, Loss  0.881354, Average Loss  0.868055, Time  0.264533
2021-09-16 20:49:06.255330 : Epoch 10, Batch   1539, Loss  0.878371, Average Loss  0.868129, Time  0.263869
2021-09-16 20:49:09.296374 : Epoch 10, Batch   1540, Loss  0.881286, Average Loss  0.868193, Time  0.263718
2021-09-16 20:49:12.334515 : Epoch 10, Batch   1541, Loss  0.875938, Average Loss  0.868197, Time  0.264182
2021-09-16 20:49:15.373416 : Epoch 10, Batch   1542, Loss  0.875287, Average Loss  0.868229, Time  0.264160
2021-09-16 20:49:18.420403 : Epoch 10, Batch   1543, Loss  0.883083, Average Loss  0.868363, Time  0.265911
2021-09-16 20:49:21.456050 : Epoch 10, Batch   1544, Loss  0.871661, Average Loss  0.868440, Time  0.264370
2021-09-16 20:49:24.501046 : Epoch 10, Batch   1545, Loss  0.867168, Average Loss  0.868409, Time  0.264203
2021-09-16 20:49:27.538577 : Epoch 10, Batch   1546, Loss  0.894102, Average Loss  0.868522, Time  0.264282
2021-09-16 20:49:30.573365 : Epoch 10, Batch   1547, Loss  0.865201, Average Loss  0.868663, Time  0.264143
2021-09-16 20:49:33.606279 : Epoch 10, Batch   1548, Loss  0.863128, Average Loss  0.868674, Time  0.264305
2021-09-16 20:49:36.662831 : Epoch 10, Batch   1549, Loss  0.883860, Average Loss  0.868773, Time  0.275438
2021-09-16 20:49:39.701471 : Epoch 10, Batch   1550, Loss  0.874569, Average Loss  0.868842, Time  0.264692
2021-09-16 20:49:42.744111 : Epoch 10, Batch   1551, Loss  0.867579, Average Loss  0.868934, Time  0.264163
2021-09-16 20:49:45.787646 : Epoch 10, Batch   1552, Loss  0.864501, Average Loss  0.868744, Time  0.264328
2021-09-16 20:49:48.825352 : Epoch 10, Batch   1553, Loss  0.860784, Average Loss  0.868659, Time  0.264338
2021-09-16 20:49:51.870839 : Epoch 10, Batch   1554, Loss  0.856081, Average Loss  0.868500, Time  0.264154
2021-09-16 20:49:54.917742 : Epoch 10, Batch   1555, Loss  0.851131, Average Loss  0.868352, Time  0.264368
2021-09-16 20:49:57.958945 : Epoch 10, Batch   1556, Loss  0.859875, Average Loss  0.868189, Time  0.264254
2021-09-16 20:50:01.004878 : Epoch 10, Batch   1557, Loss  0.863543, Average Loss  0.868199, Time  0.264315
2021-09-16 20:50:04.052577 : Epoch 10, Batch   1558, Loss  0.873701, Average Loss  0.868233, Time  0.264259
2021-09-16 20:50:07.093872 : Epoch 10, Batch   1559, Loss  0.869939, Average Loss  0.868228, Time  0.264598
2021-09-16 20:50:10.124316 : Epoch 10, Batch   1560, Loss  0.860324, Average Loss  0.868149, Time  0.264156
2021-09-16 20:50:13.164688 : Epoch 10, Batch   1561, Loss  0.866216, Average Loss  0.868174, Time  0.264512
2021-09-16 20:50:16.208864 : Epoch 10, Batch   1562, Loss  0.862765, Average Loss  0.868194, Time  0.264212
2021-09-16 20:50:19.277896 : Epoch 10, Batch   1563, Loss  0.882582, Average Loss  0.868178, Time  0.263792
2021-09-16 20:50:22.329342 : Epoch 10, Batch   1564, Loss  0.865538, Average Loss  0.868151, Time  0.271383
2021-09-16 20:50:25.377019 : Epoch 10, Batch   1565, Loss  0.871949, Average Loss  0.868155, Time  0.264197
2021-09-16 20:50:28.419087 : Epoch 10, Batch   1566, Loss  0.867864, Average Loss  0.868195, Time  0.264280
2021-09-16 20:50:31.456963 : Epoch 10, Batch   1567, Loss  0.876675, Average Loss  0.868210, Time  0.264786
2021-09-16 20:50:34.503864 : Epoch 10, Batch   1568, Loss  0.867274, Average Loss  0.868254, Time  0.264596
2021-09-16 20:50:37.549877 : Epoch 10, Batch   1569, Loss  0.875994, Average Loss  0.868317, Time  0.264759
2021-09-16 20:50:40.594689 : Epoch 10, Batch   1570, Loss  0.855631, Average Loss  0.868219, Time  0.264348
2021-09-16 20:50:41.563685 : CheckPoint: Validation Loss  0.00029088, Best Loss  0.00028775
2021-09-16 20:50:43.626544 : Epoch 10, Batch   1571, Loss  0.872377, Average Loss  0.868253, Time  0.264211
2021-09-16 20:50:44.137981 : Epoch  9, Batch    753, Loss  0.832744, Average Loss  0.844231, Time  0.270457
2021-09-16 20:50:46.671461 : Epoch 10, Batch   1572, Loss  0.876304, Average Loss  0.868298, Time  0.264280
2021-09-16 20:50:46.706928 : Epoch  9, Batch    754, Loss  0.845175, Average Loss  0.844280, Time  0.251038
2021-09-16 20:50:49.257969 : Epoch  9, Batch    755, Loss  0.837615, Average Loss  0.844197, Time  0.237370
2021-09-16 20:50:49.710173 : Epoch 10, Batch   1573, Loss  0.870323, Average Loss  0.868364, Time  0.264193
2021-09-16 20:50:51.820976 : Epoch  9, Batch    756, Loss  0.839042, Average Loss  0.844265, Time  0.237546
2021-09-16 20:50:52.747824 : Epoch 10, Batch   1574, Loss  0.880652, Average Loss  0.868344, Time  0.264160
2021-09-16 20:50:54.380874 : Epoch  9, Batch    757, Loss  0.823740, Average Loss  0.844058, Time  0.237464
2021-09-16 20:50:55.794652 : Epoch 10, Batch   1575, Loss  0.870527, Average Loss  0.868328, Time  0.263832
2021-09-16 20:50:56.949910 : Epoch  9, Batch    758, Loss  0.812180, Average Loss  0.844009, Time  0.237747
2021-09-16 20:50:58.845020 : Epoch 10, Batch   1576, Loss  0.863791, Average Loss  0.868263, Time  0.264257
2021-09-16 20:50:59.513299 : Epoch  9, Batch    759, Loss  0.842190, Average Loss  0.844099, Time  0.237652
2021-09-16 20:51:01.887306 : Epoch 10, Batch   1577, Loss  0.870107, Average Loss  0.868258, Time  0.264026
2021-09-16 20:51:02.070935 : Epoch  9, Batch    760, Loss  0.844283, Average Loss  0.843982, Time  0.237460
2021-09-16 20:51:04.624916 : Epoch  9, Batch    761, Loss  0.850492, Average Loss  0.843921, Time  0.237628
2021-09-16 20:51:04.936367 : Epoch 10, Batch   1578, Loss  0.866957, Average Loss  0.868368, Time  0.263865
2021-09-16 20:51:07.189951 : Epoch  9, Batch    762, Loss  0.873138, Average Loss  0.844119, Time  0.237509
2021-09-16 20:51:07.973353 : Epoch 10, Batch   1579, Loss  0.885956, Average Loss  0.868476, Time  0.274331
2021-09-16 20:51:09.750980 : Epoch  9, Batch    763, Loss  0.833066, Average Loss  0.844054, Time  0.238112
2021-09-16 20:51:11.013485 : Epoch 10, Batch   1580, Loss  0.870554, Average Loss  0.868389, Time  0.264023
2021-09-16 20:51:12.300814 : Epoch  9, Batch    764, Loss  0.825513, Average Loss  0.843996, Time  0.237520
2021-09-16 20:51:14.058785 : Epoch 10, Batch   1581, Loss  0.874269, Average Loss  0.868437, Time  0.264093
2021-09-16 20:51:14.869913 : Epoch  9, Batch    765, Loss  0.864594, Average Loss  0.843993, Time  0.238085
2021-09-16 20:51:17.107371 : Epoch 10, Batch   1582, Loss  0.865684, Average Loss  0.868384, Time  0.267153
2021-09-16 20:51:17.424091 : Epoch  9, Batch    766, Loss  0.836372, Average Loss  0.843953, Time  0.237603
2021-09-16 20:51:19.976825 : Epoch  9, Batch    767, Loss  0.818099, Average Loss  0.843819, Time  0.237709
2021-09-16 20:51:20.152203 : Epoch 10, Batch   1583, Loss  0.870234, Average Loss  0.868399, Time  0.264141
2021-09-16 20:51:22.548061 : Epoch  9, Batch    768, Loss  0.842843, Average Loss  0.843837, Time  0.238057
2021-09-16 20:51:23.180580 : Epoch 10, Batch   1584, Loss  0.894344, Average Loss  0.868618, Time  0.264567
2021-09-16 20:51:25.100967 : Epoch  9, Batch    769, Loss  0.853925, Average Loss  0.843871, Time  0.237848
2021-09-16 20:51:26.227850 : Epoch 10, Batch   1585, Loss  0.887946, Average Loss  0.868677, Time  0.266023
2021-09-16 20:51:27.660886 : Epoch  9, Batch    770, Loss  0.838890, Average Loss  0.843884, Time  0.237865
2021-09-16 20:51:29.276260 : Epoch 10, Batch   1586, Loss  0.867972, Average Loss  0.868715, Time  0.264656
2021-09-16 20:51:30.231952 : Epoch  9, Batch    771, Loss  0.836697, Average Loss  0.843900, Time  0.237695
2021-09-16 20:51:32.319092 : Epoch 10, Batch   1587, Loss  0.870791, Average Loss  0.868668, Time  0.264092
2021-09-16 20:51:32.786696 : Epoch  9, Batch    772, Loss  0.855877, Average Loss  0.844004, Time  0.237711
2021-09-16 20:51:35.345696 : Epoch  9, Batch    773, Loss  0.825590, Average Loss  0.843902, Time  0.237505
2021-09-16 20:51:35.369016 : Epoch 10, Batch   1588, Loss  0.863416, Average Loss  0.868746, Time  0.264127
2021-09-16 20:51:37.898834 : Epoch  9, Batch    774, Loss  0.827939, Average Loss  0.843817, Time  0.238191
2021-09-16 20:51:38.423909 : Epoch 10, Batch   1589, Loss  0.876272, Average Loss  0.868708, Time  0.264458
2021-09-16 20:51:40.468001 : Epoch  9, Batch    775, Loss  0.865209, Average Loss  0.843973, Time  0.237684
2021-09-16 20:51:41.456980 : Epoch 10, Batch   1590, Loss  0.870335, Average Loss  0.868768, Time  0.263849
2021-09-16 20:51:43.033707 : Epoch  9, Batch    776, Loss  0.843700, Average Loss  0.844013, Time  0.237423
2021-09-16 20:51:44.497750 : Epoch 10, Batch   1591, Loss  0.866648, Average Loss  0.868748, Time  0.264379
2021-09-16 20:51:45.598915 : Epoch  9, Batch    777, Loss  0.821008, Average Loss  0.843861, Time  0.237563
2021-09-16 20:51:47.540040 : Epoch 10, Batch   1592, Loss  0.874348, Average Loss  0.868856, Time  0.264039
2021-09-16 20:51:48.157117 : Epoch  9, Batch    778, Loss  0.848782, Average Loss  0.843904, Time  0.237294
2021-09-16 20:51:50.587888 : Epoch 10, Batch   1593, Loss  0.885151, Average Loss  0.868997, Time  0.264088
2021-09-16 20:51:50.727247 : Epoch  9, Batch    779, Loss  0.835225, Average Loss  0.843874, Time  0.237385
2021-09-16 20:51:53.278132 : Epoch  9, Batch    780, Loss  0.839918, Average Loss  0.843955, Time  0.237618
2021-09-16 20:51:53.649932 : Epoch 10, Batch   1594, Loss  0.855592, Average Loss  0.868935, Time  0.275917
2021-09-16 20:51:55.850944 : Epoch  9, Batch    781, Loss  0.844931, Average Loss  0.843959, Time  0.237871
2021-09-16 20:51:56.688661 : Epoch 10, Batch   1595, Loss  0.862890, Average Loss  0.868765, Time  0.264923
2021-09-16 20:51:58.419924 : Epoch  9, Batch    782, Loss  0.861520, Average Loss  0.843940, Time  0.238079
2021-09-16 20:51:59.722015 : Epoch 10, Batch   1596, Loss  0.884090, Average Loss  0.868791, Time  0.264200
2021-09-16 20:52:00.979895 : Epoch  9, Batch    783, Loss  0.839798, Average Loss  0.843991, Time  0.237311
2021-09-16 20:52:03.538041 : Epoch  9, Batch    784, Loss  0.822269, Average Loss  0.843807, Time  0.237890
2021-09-16 20:52:06.085927 : Epoch  9, Batch    785, Loss  0.861716, Average Loss  0.843801, Time  0.237326
2021-09-16 20:52:08.642033 : Epoch  9, Batch    786, Loss  0.839575, Average Loss  0.843856, Time  0.237543
2021-09-16 20:52:11.195205 : Epoch  9, Batch    787, Loss  0.822150, Average Loss  0.843714, Time  0.237550
2021-09-16 20:52:13.764163 : Epoch  9, Batch    788, Loss  0.834796, Average Loss  0.843582, Time  0.237492
2021-09-16 20:52:16.325924 : Epoch  9, Batch    789, Loss  0.839895, Average Loss  0.843488, Time  0.237526
2021-09-16 20:52:18.876965 : Epoch  9, Batch    790, Loss  0.847222, Average Loss  0.843510, Time  0.237692
2021-09-16 20:52:21.443144 : Epoch  9, Batch    791, Loss  0.847156, Average Loss  0.843639, Time  0.237239
2021-09-16 20:52:24.006074 : Epoch  9, Batch    792, Loss  0.832827, Average Loss  0.843546, Time  0.238147
2021-09-16 20:52:26.567930 : Epoch  9, Batch    793, Loss  0.855398, Average Loss  0.843662, Time  0.237735
2021-09-16 20:52:29.116773 : Epoch  9, Batch    794, Loss  0.853793, Average Loss  0.843706, Time  0.237689
2021-09-16 20:52:31.668956 : Epoch  9, Batch    795, Loss  0.825452, Average Loss  0.843735, Time  0.237779
2021-09-16 20:52:34.222003 : Epoch  9, Batch    796, Loss  0.833830, Average Loss  0.843696, Time  0.237258
2021-09-16 20:52:36.780930 : Epoch  9, Batch    797, Loss  0.808578, Average Loss  0.843469, Time  0.237240
2021-09-16 20:52:39.338901 : Epoch  9, Batch    798, Loss  0.863387, Average Loss  0.843502, Time  0.237329
2021-09-16 20:52:41.895121 : Epoch  9, Batch    799, Loss  0.837186, Average Loss  0.843448, Time  0.237402
2021-09-16 20:52:44.455785 : Epoch  9, Batch    800, Loss  0.846570, Average Loss  0.843478, Time  0.237881
2021-09-16 20:52:47.014235 : Epoch  9, Batch    801, Loss  0.843051, Average Loss  0.843398, Time  0.237506
2021-09-16 20:52:49.573095 : Epoch  9, Batch    802, Loss  0.846364, Average Loss  0.843318, Time  0.237304
2021-09-16 20:52:52.135811 : Epoch  9, Batch    803, Loss  0.837843, Average Loss  0.843284, Time  0.237884
2021-09-16 20:52:54.690671 : Epoch  9, Batch    804, Loss  0.815521, Average Loss  0.843115, Time  0.238491
2021-09-16 20:52:57.245360 : Epoch  9, Batch    805, Loss  0.843347, Average Loss  0.843154, Time  0.237573
2021-09-16 20:52:59.801681 : Epoch  9, Batch    806, Loss  0.865701, Average Loss  0.843229, Time  0.237304
2021-09-16 20:53:02.362735 : Epoch  9, Batch    807, Loss  0.842533, Average Loss  0.843225, Time  0.237837
2021-09-16 20:53:04.915939 : Epoch  9, Batch    808, Loss  0.856337, Average Loss  0.843244, Time  0.237716
2021-09-16 20:53:07.478933 : Epoch  9, Batch    809, Loss  0.833888, Average Loss  0.843210, Time  0.237826
2021-09-16 20:53:10.032722 : Epoch  9, Batch    810, Loss  0.859470, Average Loss  0.843141, Time  0.237461
2021-09-16 20:53:12.588709 : Epoch  9, Batch    811, Loss  0.842423, Average Loss  0.843075, Time  0.237784
2021-09-16 20:53:15.147999 : Epoch  9, Batch    812, Loss  0.839867, Average Loss  0.843029, Time  0.237547
2021-09-16 20:53:17.703867 : Epoch  9, Batch    813, Loss  0.849449, Average Loss  0.843021, Time  0.237850
2021-09-16 20:53:20.259884 : Epoch  9, Batch    814, Loss  0.837556, Average Loss  0.843038, Time  0.237320
2021-09-16 20:53:22.812999 : Epoch  9, Batch    815, Loss  0.857362, Average Loss  0.843210, Time  0.238335
2021-09-16 20:53:25.362704 : Epoch  9, Batch    816, Loss  0.820219, Average Loss  0.842991, Time  0.237473
2021-09-16 20:53:27.922684 : Epoch  9, Batch    817, Loss  0.819607, Average Loss  0.842843, Time  0.241064
2021-09-16 20:53:30.477913 : Epoch  9, Batch    818, Loss  0.818459, Average Loss  0.842595, Time  0.237663
2021-09-16 20:53:33.046601 : Epoch  9, Batch    819, Loss  0.819571, Average Loss  0.842388, Time  0.237625
2021-09-16 20:53:35.611406 : Epoch  9, Batch    820, Loss  0.823626, Average Loss  0.842238, Time  0.237535
2021-09-16 20:53:38.163373 : Epoch  9, Batch    821, Loss  0.868484, Average Loss  0.842437, Time  0.237432
2021-09-16 20:53:40.723699 : Epoch  9, Batch    822, Loss  0.816943, Average Loss  0.842346, Time  0.237557
2021-09-16 20:53:43.279696 : Epoch  9, Batch    823, Loss  0.830862, Average Loss  0.842183, Time  0.237741
2021-09-16 20:53:45.835744 : Epoch  9, Batch    824, Loss  0.837929, Average Loss  0.842132, Time  0.238028
2021-09-16 20:53:48.399773 : Epoch  9, Batch    825, Loss  0.850455, Average Loss  0.842118, Time  0.237510
2021-09-16 20:53:50.951890 : Epoch  9, Batch    826, Loss  0.820822, Average Loss  0.842066, Time  0.237647
2021-09-16 20:53:53.507077 : Epoch  9, Batch    827, Loss  0.835846, Average Loss  0.842084, Time  0.237454
2021-09-16 20:53:56.070809 : Epoch  9, Batch    828, Loss  0.863146, Average Loss  0.842191, Time  0.238135
2021-09-16 20:53:58.633146 : Epoch  9, Batch    829, Loss  0.844096, Average Loss  0.842275, Time  0.237933
2021-09-16 20:54:01.196674 : Epoch  9, Batch    830, Loss  0.843620, Average Loss  0.842347, Time  0.237664
2021-09-16 20:54:03.757914 : Epoch  9, Batch    831, Loss  0.830534, Average Loss  0.842326, Time  0.237728
2021-09-16 20:54:06.318973 : Epoch  9, Batch    832, Loss  0.852708, Average Loss  0.842293, Time  0.237716
2021-09-16 20:54:08.876679 : Epoch  9, Batch    833, Loss  0.843060, Average Loss  0.842180, Time  0.237549
2021-09-16 20:54:11.432809 : Epoch  9, Batch    834, Loss  0.835815, Average Loss  0.842243, Time  0.238673
2021-09-16 20:54:13.991911 : Epoch  9, Batch    835, Loss  0.843736, Average Loss  0.842192, Time  0.237591
2021-09-16 20:54:16.560919 : Epoch  9, Batch    836, Loss  0.823310, Average Loss  0.842064, Time  0.237604
2021-09-16 20:54:19.114928 : Epoch  9, Batch    837, Loss  0.833794, Average Loss  0.842070, Time  0.237781
2021-09-16 20:54:21.681200 : Epoch  9, Batch    838, Loss  0.848446, Average Loss  0.842092, Time  0.237439
2021-09-16 20:54:24.245762 : Epoch  9, Batch    839, Loss  0.836749, Average Loss  0.841997, Time  0.239085
2021-09-16 20:54:26.804905 : Epoch  9, Batch    840, Loss  0.858137, Average Loss  0.842167, Time  0.237608
2021-09-16 20:54:29.357921 : Epoch  9, Batch    841, Loss  0.830132, Average Loss  0.842067, Time  0.237344
2021-09-16 20:54:31.912917 : Epoch  9, Batch    842, Loss  0.835236, Average Loss  0.841994, Time  0.237353
2021-09-16 20:54:34.466180 : Epoch  9, Batch    843, Loss  0.849387, Average Loss  0.841937, Time  0.237787
2021-09-16 20:54:37.016034 : Epoch  9, Batch    844, Loss  0.822971, Average Loss  0.841849, Time  0.237524
2021-09-16 20:54:39.579555 : Epoch  9, Batch    845, Loss  0.843483, Average Loss  0.841870, Time  0.237796
2021-09-16 20:54:42.142938 : Epoch  9, Batch    846, Loss  0.844449, Average Loss  0.841859, Time  0.237425
2021-09-16 20:54:44.707063 : Epoch  9, Batch    847, Loss  0.825746, Average Loss  0.841820, Time  0.237934
2021-09-16 20:54:47.273899 : Epoch  9, Batch    848, Loss  0.833872, Average Loss  0.841856, Time  0.237548
2021-09-16 20:54:49.838017 : Epoch  9, Batch    849, Loss  0.855240, Average Loss  0.841852, Time  0.237533
2021-09-16 20:54:52.404698 : Epoch  9, Batch    850, Loss  0.856486, Average Loss  0.841872, Time  0.237501
2021-09-16 20:54:54.958761 : Epoch  9, Batch    851, Loss  0.848611, Average Loss  0.841883, Time  0.237880
2021-09-16 20:54:57.520091 : Epoch  9, Batch    852, Loss  0.831846, Average Loss  0.841829, Time  0.237574
2021-09-16 20:56:40.400773 : CheckPoint: Validation Loss  0.00031260, Best Loss  0.00029014
2021-09-16 20:56:43.445780 : Epoch 10, Batch   1597, Loss  0.861219, Average Loss  0.868756, Time  0.264046
2021-09-16 20:56:46.500171 : Epoch 10, Batch   1598, Loss  0.849833, Average Loss  0.868606, Time  0.264007
2021-09-16 20:56:49.539396 : Epoch 10, Batch   1599, Loss  0.880913, Average Loss  0.868697, Time  0.264336
2021-09-16 20:56:52.590002 : Epoch 10, Batch   1600, Loss  0.859066, Average Loss  0.868488, Time  0.264183
2021-09-16 20:56:55.629345 : Epoch 10, Batch   1601, Loss  0.868358, Average Loss  0.868495, Time  0.264195
2021-09-16 20:56:58.670416 : Epoch 10, Batch   1602, Loss  0.878954, Average Loss  0.868543, Time  0.264375
2021-09-16 20:57:01.712621 : Epoch 10, Batch   1603, Loss  0.869949, Average Loss  0.868639, Time  0.264440
2021-09-16 20:57:04.752839 : Epoch 10, Batch   1604, Loss  0.896739, Average Loss  0.868809, Time  0.264374
2021-09-16 20:57:07.797727 : Epoch 10, Batch   1605, Loss  0.872678, Average Loss  0.868813, Time  0.264553
2021-09-16 20:57:10.847554 : Epoch 10, Batch   1606, Loss  0.888132, Average Loss  0.868915, Time  0.275511
2021-09-16 20:57:13.886177 : Epoch 10, Batch   1607, Loss  0.876926, Average Loss  0.869039, Time  0.264402
2021-09-16 20:57:16.958268 : Epoch 10, Batch   1608, Loss  0.878091, Average Loss  0.869080, Time  0.272067
2021-09-16 20:57:20.025064 : Epoch 10, Batch   1609, Loss  0.873473, Average Loss  0.869135, Time  0.264198
2021-09-16 20:57:23.065707 : Epoch 10, Batch   1610, Loss  0.869971, Average Loss  0.869210, Time  0.264452
2021-09-16 20:57:26.101863 : Epoch 10, Batch   1611, Loss  0.884346, Average Loss  0.869334, Time  0.264058
2021-09-16 20:57:29.149442 : Epoch 10, Batch   1612, Loss  0.873021, Average Loss  0.869369, Time  0.264031
2021-09-16 20:57:32.191174 : Epoch 10, Batch   1613, Loss  0.859035, Average Loss  0.869300, Time  0.264855
2021-09-16 20:57:35.228886 : Epoch 10, Batch   1614, Loss  0.861961, Average Loss  0.869407, Time  0.264743
2021-09-16 20:57:38.264765 : Epoch 10, Batch   1615, Loss  0.876379, Average Loss  0.869553, Time  0.264163
2021-09-16 20:57:41.310450 : Epoch 10, Batch   1616, Loss  0.889648, Average Loss  0.869767, Time  0.264499
2021-09-16 20:57:44.351763 : Epoch 10, Batch   1617, Loss  0.858831, Average Loss  0.869698, Time  0.266785
2021-09-16 20:57:47.392814 : Epoch 10, Batch   1618, Loss  0.880240, Average Loss  0.869866, Time  0.264055
2021-09-16 20:57:50.419637 : Epoch 10, Batch   1619, Loss  0.871813, Average Loss  0.869908, Time  0.264225
2021-09-16 20:57:53.451108 : Epoch 10, Batch   1620, Loss  0.865620, Average Loss  0.869932, Time  0.264080
2021-09-16 20:57:56.488895 : Epoch 10, Batch   1621, Loss  0.887029, Average Loss  0.870066, Time  0.274995
2021-09-16 20:57:59.544222 : Epoch 10, Batch   1622, Loss  0.850924, Average Loss  0.870056, Time  0.264765
2021-09-16 20:58:02.573729 : Epoch 10, Batch   1623, Loss  0.854946, Average Loss  0.869961, Time  0.264015
2021-09-16 20:58:05.611942 : Epoch 10, Batch   1624, Loss  0.868308, Average Loss  0.869829, Time  0.264090
2021-09-16 20:58:08.655149 : Epoch 10, Batch   1625, Loss  0.849547, Average Loss  0.869867, Time  0.264735
2021-09-16 20:58:11.692996 : Epoch 10, Batch   1626, Loss  0.864550, Average Loss  0.869900, Time  0.264254
2021-09-16 20:58:14.728708 : Epoch 10, Batch   1627, Loss  0.868780, Average Loss  0.869815, Time  0.264069
2021-09-16 20:58:17.777359 : Epoch 10, Batch   1628, Loss  0.880026, Average Loss  0.869871, Time  0.264386
2021-09-16 20:58:20.821761 : Epoch 10, Batch   1629, Loss  0.873814, Average Loss  0.869961, Time  0.265917
2021-09-16 20:58:23.863428 : Epoch 10, Batch   1630, Loss  0.879191, Average Loss  0.870061, Time  0.264001
2021-09-16 20:58:26.899095 : Epoch 10, Batch   1631, Loss  0.858538, Average Loss  0.869950, Time  0.264359
2021-09-16 20:58:29.939009 : Epoch 10, Batch   1632, Loss  0.851475, Average Loss  0.869782, Time  0.264125
2021-09-16 20:58:32.974250 : Epoch 10, Batch   1633, Loss  0.863557, Average Loss  0.869769, Time  0.264050
2021-09-16 20:58:36.009769 : Epoch 10, Batch   1634, Loss  0.872979, Average Loss  0.869706, Time  0.263894
2021-09-16 20:58:39.062101 : Epoch 10, Batch   1635, Loss  0.874367, Average Loss  0.869710, Time  0.263963
2021-09-16 20:58:42.106673 : Epoch 10, Batch   1636, Loss  0.863907, Average Loss  0.869763, Time  0.275611
2021-09-16 20:58:45.155752 : Epoch 10, Batch   1637, Loss  0.879821, Average Loss  0.869783, Time  0.264614
2021-09-16 20:58:48.195507 : Epoch 10, Batch   1638, Loss  0.869658, Average Loss  0.869852, Time  0.264474
2021-09-16 20:58:51.233000 : Epoch 10, Batch   1639, Loss  0.876888, Average Loss  0.869996, Time  0.263942
2021-09-16 20:58:52.377677 : CheckPoint: Validation Loss  0.00028450, Best Loss  0.00028450
2021-09-16 20:58:52.421548 : Best Model Updated
2021-09-16 20:58:54.278771 : Epoch 10, Batch   1640, Loss  0.860556, Average Loss  0.869952, Time  0.264278
2021-09-16 20:58:55.737958 : Epoch  9, Batch    853, Loss  0.820378, Average Loss  0.841730, Time  0.237580
2021-09-16 20:58:57.328452 : Epoch 10, Batch   1641, Loss  0.849047, Average Loss  0.869763, Time  0.264261
2021-09-16 20:58:58.325056 : Epoch  9, Batch    854, Loss  0.850970, Average Loss  0.841787, Time  0.239046
2021-09-16 20:59:00.373314 : Epoch 10, Batch   1642, Loss  0.852130, Average Loss  0.869594, Time  0.264347
2021-09-16 20:59:00.902054 : Epoch  9, Batch    855, Loss  0.843768, Average Loss  0.841741, Time  0.237705
2021-09-16 20:59:03.420611 : Epoch 10, Batch   1643, Loss  0.865931, Average Loss  0.869632, Time  0.264457
2021-09-16 20:59:03.482238 : Epoch  9, Batch    856, Loss  0.856425, Average Loss  0.841832, Time  0.237567
2021-09-16 20:59:06.050681 : Epoch  9, Batch    857, Loss  0.855047, Average Loss  0.841938, Time  0.237317
2021-09-16 20:59:06.464370 : Epoch 10, Batch   1644, Loss  0.851094, Average Loss  0.869455, Time  0.263850
2021-09-16 20:59:08.629712 : Epoch  9, Batch    858, Loss  0.834981, Average Loss  0.841804, Time  0.237684
2021-09-16 20:59:09.496515 : Epoch 10, Batch   1645, Loss  0.856524, Average Loss  0.869340, Time  0.264492
2021-09-16 20:59:11.206017 : Epoch  9, Batch    859, Loss  0.826323, Average Loss  0.841803, Time  0.237854
2021-09-16 20:59:12.559342 : Epoch 10, Batch   1646, Loss  0.855687, Average Loss  0.869205, Time  0.263840
2021-09-16 20:59:13.782921 : Epoch  9, Batch    860, Loss  0.838428, Average Loss  0.841649, Time  0.237449
2021-09-16 20:59:15.594990 : Epoch 10, Batch   1647, Loss  0.873387, Average Loss  0.869277, Time  0.264180
2021-09-16 20:59:16.357940 : Epoch  9, Batch    861, Loss  0.812161, Average Loss  0.841502, Time  0.237653
2021-09-16 20:59:18.634052 : Epoch 10, Batch   1648, Loss  0.867019, Average Loss  0.869336, Time  0.264156
2021-09-16 20:59:18.948731 : Epoch  9, Batch    862, Loss  0.849247, Average Loss  0.841490, Time  0.237384
2021-09-16 20:59:21.556963 : Epoch  9, Batch    863, Loss  0.838546, Average Loss  0.841594, Time  0.238128
2021-09-16 20:59:21.673095 : Epoch 10, Batch   1649, Loss  0.892520, Average Loss  0.869411, Time  0.264024
2021-09-16 20:59:24.158157 : Epoch  9, Batch    864, Loss  0.846149, Average Loss  0.841622, Time  0.237710
2021-09-16 20:59:24.720816 : Epoch 10, Batch   1650, Loss  0.870112, Average Loss  0.869518, Time  0.264185
2021-09-16 20:59:26.735908 : Epoch  9, Batch    865, Loss  0.840679, Average Loss  0.841639, Time  0.237493
2021-09-16 20:59:27.776602 : Epoch 10, Batch   1651, Loss  0.882235, Average Loss  0.869620, Time  0.272261
2021-09-16 20:59:29.312914 : Epoch  9, Batch    866, Loss  0.847649, Average Loss  0.841648, Time  0.237915
2021-09-16 20:59:30.825682 : Epoch 10, Batch   1652, Loss  0.892419, Average Loss  0.869750, Time  0.266193
2021-09-16 20:59:31.885943 : Epoch  9, Batch    867, Loss  0.835397, Average Loss  0.841621, Time  0.237353
2021-09-16 20:59:33.862932 : Epoch 10, Batch   1653, Loss  0.863157, Average Loss  0.869645, Time  0.264027
2021-09-16 20:59:34.464170 : Epoch  9, Batch    868, Loss  0.821710, Average Loss  0.841500, Time  0.237483
2021-09-16 20:59:36.919115 : Epoch 10, Batch   1654, Loss  0.855726, Average Loss  0.869563, Time  0.264039
2021-09-16 20:59:37.047122 : Epoch  9, Batch    869, Loss  0.851890, Average Loss  0.841678, Time  0.237434
2021-09-16 20:59:39.609232 : Epoch  9, Batch    870, Loss  0.836680, Average Loss  0.841608, Time  0.237793
2021-09-16 20:59:39.960883 : Epoch 10, Batch   1655, Loss  0.867411, Average Loss  0.869513, Time  0.264570
2021-09-16 20:59:42.187242 : Epoch  9, Batch    871, Loss  0.861206, Average Loss  0.841773, Time  0.237832
2021-09-16 20:59:43.001046 : Epoch 10, Batch   1656, Loss  0.875769, Average Loss  0.869442, Time  0.264423
2021-09-16 20:59:44.759707 : Epoch  9, Batch    872, Loss  0.849317, Average Loss  0.841832, Time  0.237497
2021-09-16 20:59:46.045226 : Epoch 10, Batch   1657, Loss  0.868946, Average Loss  0.869435, Time  0.263941
2021-09-16 20:59:47.338940 : Epoch  9, Batch    873, Loss  0.834626, Average Loss  0.841728, Time  0.238101
2021-09-16 20:59:49.081484 : Epoch 10, Batch   1658, Loss  0.866584, Average Loss  0.869490, Time  0.264531
2021-09-16 20:59:49.914913 : Epoch  9, Batch    874, Loss  0.823916, Average Loss  0.841596, Time  0.237923
2021-09-16 20:59:52.128968 : Epoch 10, Batch   1659, Loss  0.861414, Average Loss  0.869423, Time  0.264058
2021-09-16 20:59:52.526026 : Epoch  9, Batch    875, Loss  0.831902, Average Loss  0.841588, Time  0.237674
2021-09-16 20:59:55.095921 : Epoch  9, Batch    876, Loss  0.842741, Average Loss  0.841556, Time  0.237439
2021-09-16 20:59:55.175199 : Epoch 10, Batch   1660, Loss  0.852261, Average Loss  0.869403, Time  0.264214
2021-09-16 20:59:57.669502 : Epoch  9, Batch    877, Loss  0.853756, Average Loss  0.841601, Time  0.237380
2021-09-16 20:59:58.214484 : Epoch 10, Batch   1661, Loss  0.875358, Average Loss  0.869382, Time  0.264385
2021-09-16 21:00:00.310701 : Epoch  9, Batch    878, Loss  0.832822, Average Loss  0.841595, Time  0.238454
2021-09-16 21:00:01.248927 : Epoch 10, Batch   1662, Loss  0.868002, Average Loss  0.869522, Time  0.264294
2021-09-16 21:00:02.884687 : Epoch  9, Batch    879, Loss  0.864124, Average Loss  0.841610, Time  0.238502
2021-09-16 21:00:04.295202 : Epoch 10, Batch   1663, Loss  0.865381, Average Loss  0.869418, Time  0.264530
2021-09-16 21:00:05.476669 : Epoch  9, Batch    880, Loss  0.831233, Average Loss  0.841642, Time  0.237450
2021-09-16 21:00:07.338872 : Epoch 10, Batch   1664, Loss  0.864679, Average Loss  0.869413, Time  0.264248
2021-09-16 21:00:08.050942 : Epoch  9, Batch    881, Loss  0.833526, Average Loss  0.841524, Time  0.237797
2021-09-16 21:00:10.377740 : Epoch 10, Batch   1665, Loss  0.889260, Average Loss  0.869511, Time  0.264763
2021-09-16 21:00:10.629991 : Epoch  9, Batch    882, Loss  0.827720, Average Loss  0.841573, Time  0.237511
2021-09-16 21:00:13.215793 : Epoch  9, Batch    883, Loss  0.842435, Average Loss  0.841586, Time  0.237913
2021-09-16 21:00:13.411075 : Epoch 10, Batch   1666, Loss  0.872266, Average Loss  0.869521, Time  0.272362
2021-09-16 21:00:15.801963 : Epoch  9, Batch    884, Loss  0.836314, Average Loss  0.841505, Time  0.237683
2021-09-16 21:00:16.441863 : Epoch 10, Batch   1667, Loss  0.857426, Average Loss  0.869525, Time  0.264478
2021-09-16 21:00:18.378981 : Epoch  9, Batch    885, Loss  0.853319, Average Loss  0.841391, Time  0.237819
2021-09-16 21:00:19.484349 : Epoch 10, Batch   1668, Loss  0.888208, Average Loss  0.869590, Time  0.264287
2021-09-16 21:00:20.964269 : Epoch  9, Batch    886, Loss  0.832573, Average Loss  0.841310, Time  0.237316
2021-09-16 21:00:22.517114 : Epoch 10, Batch   1669, Loss  0.869622, Average Loss  0.869539, Time  0.264642
2021-09-16 21:00:23.545016 : Epoch  9, Batch    887, Loss  0.827576, Average Loss  0.841020, Time  0.237346
2021-09-16 21:00:25.548980 : Epoch 10, Batch   1670, Loss  0.848437, Average Loss  0.869397, Time  0.264232
2021-09-16 21:00:26.146928 : Epoch  9, Batch    888, Loss  0.839291, Average Loss  0.840895, Time  0.237643
2021-09-16 21:00:28.584506 : Epoch 10, Batch   1671, Loss  0.874789, Average Loss  0.869453, Time  0.264356
2021-09-16 21:00:28.728672 : Epoch  9, Batch    889, Loss  0.817226, Average Loss  0.840690, Time  0.237688
2021-09-16 21:00:31.286917 : Epoch  9, Batch    890, Loss  0.840177, Average Loss  0.840820, Time  0.237556
2021-09-16 21:00:31.621350 : Epoch 10, Batch   1672, Loss  0.847452, Average Loss  0.869316, Time  0.263734
2021-09-16 21:00:33.870731 : Epoch  9, Batch    891, Loss  0.816895, Average Loss  0.840764, Time  0.237819
2021-09-16 21:00:34.645839 : Epoch 10, Batch   1673, Loss  0.870076, Average Loss  0.869272, Time  0.263917
2021-09-16 21:00:36.447903 : Epoch  9, Batch    892, Loss  0.857122, Average Loss  0.840840, Time  0.237481
2021-09-16 21:00:37.677888 : Epoch 10, Batch   1674, Loss  0.906579, Average Loss  0.869460, Time  0.264064
2021-09-16 21:00:39.024169 : Epoch  9, Batch    893, Loss  0.835855, Average Loss  0.840748, Time  0.237443
2021-09-16 21:00:40.720408 : Epoch 10, Batch   1675, Loss  0.861461, Average Loss  0.869364, Time  0.263967
2021-09-16 21:00:41.603942 : Epoch  9, Batch    894, Loss  0.841671, Average Loss  0.840621, Time  0.237347
2021-09-16 21:00:43.775958 : Epoch 10, Batch   1676, Loss  0.853817, Average Loss  0.869300, Time  0.266095
2021-09-16 21:00:44.183252 : Epoch  9, Batch    895, Loss  0.825936, Average Loss  0.840551, Time  0.237642
2021-09-16 21:00:46.745897 : Epoch  9, Batch    896, Loss  0.837328, Average Loss  0.840431, Time  0.237329
2021-09-16 21:00:46.810668 : Epoch 10, Batch   1677, Loss  0.889273, Average Loss  0.869433, Time  0.264245
2021-09-16 21:00:49.324153 : Epoch  9, Batch    897, Loss  0.838566, Average Loss  0.840509, Time  0.237360
2021-09-16 21:00:49.849777 : Epoch 10, Batch   1678, Loss  0.868186, Average Loss  0.869532, Time  0.263845
2021-09-16 21:00:51.906944 : Epoch  9, Batch    898, Loss  0.835708, Average Loss  0.840497, Time  0.237530
2021-09-16 21:00:52.882776 : Epoch 10, Batch   1679, Loss  0.867737, Average Loss  0.869483, Time  0.264003
2021-09-16 21:00:54.482749 : Epoch  9, Batch    899, Loss  0.863569, Average Loss  0.840645, Time  0.237674
2021-09-16 21:00:55.932106 : Epoch 10, Batch   1680, Loss  0.852898, Average Loss  0.869402, Time  0.264035
2021-09-16 21:00:57.062742 : Epoch  9, Batch    900, Loss  0.852669, Average Loss  0.840660, Time  0.237629
2021-09-16 21:00:58.984998 : Epoch 10, Batch   1681, Loss  0.865675, Average Loss  0.869275, Time  0.274534
2021-09-16 21:00:59.654907 : Epoch  9, Batch    901, Loss  0.840859, Average Loss  0.840611, Time  0.238159
2021-09-16 21:01:02.027983 : Epoch 10, Batch   1682, Loss  0.869617, Average Loss  0.869449, Time  0.264073
2021-09-16 21:01:02.238777 : Epoch  9, Batch    902, Loss  0.832668, Average Loss  0.840512, Time  0.237728
2021-09-16 21:01:04.811019 : Epoch  9, Batch    903, Loss  0.845677, Average Loss  0.840487, Time  0.237922
2021-09-16 21:01:05.083378 : Epoch 10, Batch   1683, Loss  0.860072, Average Loss  0.869370, Time  0.264394
2021-09-16 21:01:07.387923 : Epoch  9, Batch    904, Loss  0.846065, Average Loss  0.840451, Time  0.237567
2021-09-16 21:01:08.109810 : Epoch 10, Batch   1684, Loss  0.853921, Average Loss  0.869315, Time  0.264173
2021-09-16 21:01:09.972009 : Epoch  9, Batch    905, Loss  0.867032, Average Loss  0.840570, Time  0.238121
2021-09-16 21:01:11.162774 : Epoch 10, Batch   1685, Loss  0.869611, Average Loss  0.869325, Time  0.264192
2021-09-16 21:01:12.547692 : Epoch  9, Batch    906, Loss  0.841207, Average Loss  0.840705, Time  0.237340
2021-09-16 21:01:14.209031 : Epoch 10, Batch   1686, Loss  0.875283, Average Loss  0.869399, Time  0.263891
2021-09-16 21:01:15.116971 : Epoch  9, Batch    907, Loss  0.836204, Average Loss  0.840718, Time  0.237637
2021-09-16 21:01:17.245840 : Epoch 10, Batch   1687, Loss  0.865605, Average Loss  0.869375, Time  0.264403
2021-09-16 21:01:17.704012 : Epoch  9, Batch    908, Loss  0.842592, Average Loss  0.840747, Time  0.237468
2021-09-16 21:01:20.269683 : Epoch  9, Batch    909, Loss  0.838262, Average Loss  0.840717, Time  0.237478
2021-09-16 21:01:20.288814 : Epoch 10, Batch   1688, Loss  0.864156, Average Loss  0.869457, Time  0.264180
2021-09-16 21:01:22.852766 : Epoch  9, Batch    910, Loss  0.837471, Average Loss  0.840635, Time  0.237898
2021-09-16 21:01:23.344758 : Epoch 10, Batch   1689, Loss  0.865129, Average Loss  0.869321, Time  0.264222
2021-09-16 21:01:25.426126 : Epoch  9, Batch    911, Loss  0.832576, Average Loss  0.840513, Time  0.237413
2021-09-16 21:01:26.369670 : Epoch 10, Batch   1690, Loss  0.879440, Average Loss  0.869306, Time  0.264310
2021-09-16 21:01:28.000042 : Epoch  9, Batch    912, Loss  0.831450, Average Loss  0.840385, Time  0.238248
2021-09-16 21:01:29.403904 : Epoch 10, Batch   1691, Loss  0.878436, Average Loss  0.869243, Time  0.266228
2021-09-16 21:01:30.570672 : Epoch  9, Batch    913, Loss  0.830758, Average Loss  0.840365, Time  0.238033
2021-09-16 21:01:32.441403 : Epoch 10, Batch   1692, Loss  0.874927, Average Loss  0.869250, Time  0.264308
2021-09-16 21:01:33.150182 : Epoch  9, Batch    914, Loss  0.829760, Average Loss  0.840246, Time  0.237471
2021-09-16 21:01:35.476684 : Epoch 10, Batch   1693, Loss  0.868430, Average Loss  0.869284, Time  0.264151
2021-09-16 21:01:35.723945 : Epoch  9, Batch    915, Loss  0.823898, Average Loss  0.840164, Time  0.237456
2021-09-16 21:01:38.280956 : Epoch  9, Batch    916, Loss  0.831133, Average Loss  0.840039, Time  0.237712
2021-09-16 21:01:38.511459 : Epoch 10, Batch   1694, Loss  0.863670, Average Loss  0.869324, Time  0.263960
2021-09-16 21:01:40.852974 : Epoch  9, Batch    917, Loss  0.836100, Average Loss  0.840063, Time  0.238555
2021-09-16 21:01:41.541949 : Epoch 10, Batch   1695, Loss  0.889846, Average Loss  0.869381, Time  0.264251
2021-09-16 21:01:43.431725 : Epoch  9, Batch    918, Loss  0.860455, Average Loss  0.840156, Time  0.237877
2021-09-16 21:01:44.603896 : Epoch 10, Batch   1696, Loss  0.869434, Average Loss  0.869316, Time  0.273803
2021-09-16 21:01:46.010987 : Epoch  9, Batch    919, Loss  0.832739, Average Loss  0.840209, Time  0.237902
2021-09-16 21:01:48.579939 : Epoch  9, Batch    920, Loss  0.843446, Average Loss  0.840098, Time  0.237646
2021-09-16 21:01:51.158718 : Epoch  9, Batch    921, Loss  0.854737, Average Loss  0.840126, Time  0.237607
2021-09-16 21:01:53.746909 : Epoch  9, Batch    922, Loss  0.817309, Average Loss  0.839919, Time  0.237650
2021-09-16 21:01:56.318701 : Epoch  9, Batch    923, Loss  0.839441, Average Loss  0.839873, Time  0.237723
2021-09-16 21:01:58.886882 : Epoch  9, Batch    924, Loss  0.859514, Average Loss  0.839999, Time  0.237708
2021-09-16 21:02:01.460981 : Epoch  9, Batch    925, Loss  0.835176, Average Loss  0.839934, Time  0.238104
2021-09-16 21:02:04.038928 : Epoch  9, Batch    926, Loss  0.835618, Average Loss  0.839873, Time  0.237413
2021-09-16 21:02:06.605926 : Epoch  9, Batch    927, Loss  0.843407, Average Loss  0.839884, Time  0.237640
2021-09-16 21:02:09.187121 : Epoch  9, Batch    928, Loss  0.845754, Average Loss  0.839870, Time  0.237792
2021-09-16 21:02:11.773686 : Epoch  9, Batch    929, Loss  0.847563, Average Loss  0.839925, Time  0.237687
2021-09-16 21:02:14.356673 : Epoch  9, Batch    930, Loss  0.863173, Average Loss  0.840047, Time  0.237746
2021-09-16 21:02:16.934886 : Epoch  9, Batch    931, Loss  0.830361, Average Loss  0.839939, Time  0.237575
2021-09-16 21:02:19.526892 : Epoch  9, Batch    932, Loss  0.839323, Average Loss  0.839903, Time  0.237718
2021-09-16 21:02:22.102899 : Epoch  9, Batch    933, Loss  0.824447, Average Loss  0.839732, Time  0.238035
2021-09-16 21:02:24.682862 : Epoch  9, Batch    934, Loss  0.850348, Average Loss  0.839910, Time  0.237557
2021-09-16 21:02:27.265061 : Epoch  9, Batch    935, Loss  0.831385, Average Loss  0.839903, Time  0.237312
2021-09-16 21:02:29.904921 : Epoch  9, Batch    936, Loss  0.850638, Average Loss  0.839867, Time  0.237535
2021-09-16 21:02:32.508974 : Epoch  9, Batch    937, Loss  0.837730, Average Loss  0.839779, Time  0.238065
2021-09-16 21:02:35.079921 : Epoch  9, Batch    938, Loss  0.841574, Average Loss  0.839958, Time  0.237550
2021-09-16 21:02:37.650337 : Epoch  9, Batch    939, Loss  0.834843, Average Loss  0.839879, Time  0.237774
2021-09-16 21:02:40.219028 : Epoch  9, Batch    940, Loss  0.855874, Average Loss  0.839987, Time  0.237416
2021-09-16 21:02:42.795752 : Epoch  9, Batch    941, Loss  0.828215, Average Loss  0.839940, Time  0.237572
2021-09-16 21:02:45.374925 : Epoch  9, Batch    942, Loss  0.841147, Average Loss  0.839922, Time  0.237750
2021-09-16 21:02:47.943870 : Epoch  9, Batch    943, Loss  0.837027, Average Loss  0.839921, Time  0.237639
2021-09-16 21:02:50.521929 : Epoch  9, Batch    944, Loss  0.826834, Average Loss  0.839802, Time  0.237921
2021-09-16 21:02:53.097107 : Epoch  9, Batch    945, Loss  0.840987, Average Loss  0.839852, Time  0.237665
2021-09-16 21:02:55.677813 : Epoch  9, Batch    946, Loss  0.831937, Average Loss  0.839899, Time  0.238093
2021-09-16 21:02:58.256776 : Epoch  9, Batch    947, Loss  0.856128, Average Loss  0.839977, Time  0.238260
2021-09-16 21:03:00.840921 : Epoch  9, Batch    948, Loss  0.838612, Average Loss  0.839992, Time  0.238242
2021-09-16 21:03:03.415706 : Epoch  9, Batch    949, Loss  0.834442, Average Loss  0.839885, Time  0.237409
2021-09-16 21:03:05.997439 : Epoch  9, Batch    950, Loss  0.850910, Average Loss  0.840022, Time  0.237975
2021-09-16 21:03:08.574687 : Epoch  9, Batch    951, Loss  0.836458, Average Loss  0.839913, Time  0.237518
2021-09-16 21:03:11.150059 : Epoch  9, Batch    952, Loss  0.840607, Average Loss  0.839847, Time  0.237422
2021-09-16 21:06:25.223734 : CheckPoint: Validation Loss  0.00032315, Best Loss  0.00029014
2021-09-16 21:06:28.265949 : Epoch 10, Batch   1697, Loss  0.857353, Average Loss  0.869374, Time  0.265076
2021-09-16 21:06:31.315100 : Epoch 10, Batch   1698, Loss  0.861191, Average Loss  0.869248, Time  0.264454
2021-09-16 21:06:34.359263 : Epoch 10, Batch   1699, Loss  0.871626, Average Loss  0.869230, Time  0.263965
2021-09-16 21:06:37.401210 : Epoch 10, Batch   1700, Loss  0.856013, Average Loss  0.869265, Time  0.264442
2021-09-16 21:06:40.452765 : Epoch 10, Batch   1701, Loss  0.870728, Average Loss  0.869318, Time  0.264639
2021-09-16 21:06:43.512099 : Epoch 10, Batch   1702, Loss  0.871035, Average Loss  0.869424, Time  0.264830
2021-09-16 21:06:46.561361 : Epoch 10, Batch   1703, Loss  0.861795, Average Loss  0.869413, Time  0.264043
2021-09-16 21:06:49.599581 : Epoch 10, Batch   1704, Loss  0.861170, Average Loss  0.869429, Time  0.264304
2021-09-16 21:06:52.666174 : Epoch 10, Batch   1705, Loss  0.858665, Average Loss  0.869423, Time  0.264431
2021-09-16 21:06:55.693226 : Epoch 10, Batch   1706, Loss  0.865757, Average Loss  0.869342, Time  0.263927
2021-09-16 21:06:58.744099 : Epoch 10, Batch   1707, Loss  0.870549, Average Loss  0.869425, Time  0.264375
2021-09-16 21:07:01.795050 : Epoch 10, Batch   1708, Loss  0.857516, Average Loss  0.869343, Time  0.275607
2021-09-16 21:07:04.841061 : Epoch 10, Batch   1709, Loss  0.882707, Average Loss  0.869504, Time  0.264236
2021-09-16 21:07:07.351684 : CheckPoint: Validation Loss  0.00029337, Best Loss  0.00028450
2021-09-16 21:07:07.888824 : Epoch 10, Batch   1710, Loss  0.841236, Average Loss  0.869442, Time  0.263752
2021-09-16 21:07:09.931769 : Epoch  9, Batch    953, Loss  0.838693, Average Loss  0.839877, Time  0.241255
2021-09-16 21:07:10.922634 : Epoch 10, Batch   1711, Loss  0.867609, Average Loss  0.869402, Time  0.264505
2021-09-16 21:07:12.512368 : Epoch  9, Batch    954, Loss  0.838875, Average Loss  0.839846, Time  0.237861
2021-09-16 21:07:13.978781 : Epoch 10, Batch   1712, Loss  0.870492, Average Loss  0.869374, Time  0.263821
2021-09-16 21:07:15.102452 : Epoch  9, Batch    955, Loss  0.856401, Average Loss  0.839939, Time  0.237945
2021-09-16 21:07:17.018819 : Epoch 10, Batch   1713, Loss  0.867173, Average Loss  0.869458, Time  0.264530
2021-09-16 21:07:17.687051 : Epoch  9, Batch    956, Loss  0.830836, Average Loss  0.839898, Time  0.237461
2021-09-16 21:07:20.057610 : Epoch 10, Batch   1714, Loss  0.873778, Average Loss  0.869602, Time  0.264267
2021-09-16 21:07:20.289733 : Epoch  9, Batch    957, Loss  0.822893, Average Loss  0.839894, Time  0.238054
2021-09-16 21:07:22.859095 : Epoch  9, Batch    958, Loss  0.830688, Average Loss  0.839987, Time  0.237830
2021-09-16 21:07:23.101391 : Epoch 10, Batch   1715, Loss  0.857349, Average Loss  0.869418, Time  0.264054
2021-09-16 21:07:25.447976 : Epoch  9, Batch    959, Loss  0.842925, Average Loss  0.839990, Time  0.237506
2021-09-16 21:07:26.132011 : Epoch 10, Batch   1716, Loss  0.862477, Average Loss  0.869323, Time  0.263943
2021-09-16 21:07:28.059719 : Epoch  9, Batch    960, Loss  0.843159, Average Loss  0.839985, Time  0.237663
2021-09-16 21:07:29.179781 : Epoch 10, Batch   1717, Loss  0.878025, Average Loss  0.869371, Time  0.264125
2021-09-16 21:07:30.651917 : Epoch  9, Batch    961, Loss  0.853411, Average Loss  0.839999, Time  0.237769
2021-09-16 21:07:32.227794 : Epoch 10, Batch   1718, Loss  0.863174, Average Loss  0.869275, Time  0.264223
2021-09-16 21:07:33.257018 : Epoch  9, Batch    962, Loss  0.845530, Average Loss  0.839861, Time  0.237743
2021-09-16 21:07:35.273536 : Epoch 10, Batch   1719, Loss  0.863973, Average Loss  0.869292, Time  0.264488
2021-09-16 21:07:35.838193 : Epoch  9, Batch    963, Loss  0.833258, Average Loss  0.839862, Time  0.237890
2021-09-16 21:07:38.322758 : Epoch 10, Batch   1720, Loss  0.870918, Average Loss  0.869296, Time  0.264514
2021-09-16 21:07:38.436067 : Epoch  9, Batch    964, Loss  0.858632, Average Loss  0.840028, Time  0.237745
2021-09-16 21:07:41.032710 : Epoch  9, Batch    965, Loss  0.844265, Average Loss  0.839926, Time  0.238345
2021-09-16 21:07:41.369481 : Epoch 10, Batch   1721, Loss  0.873496, Average Loss  0.869407, Time  0.264077
2021-09-16 21:07:43.613930 : Epoch  9, Batch    966, Loss  0.836912, Average Loss  0.839929, Time  0.238024
2021-09-16 21:07:44.402625 : Epoch 10, Batch   1722, Loss  0.866735, Average Loss  0.869440, Time  0.264583
2021-09-16 21:07:46.201103 : Epoch  9, Batch    967, Loss  0.838509, Average Loss  0.840031, Time  0.237645
2021-09-16 21:07:47.475682 : Epoch 10, Batch   1723, Loss  0.873881, Average Loss  0.869381, Time  0.269933
2021-09-16 21:07:48.812797 : Epoch  9, Batch    968, Loss  0.840990, Average Loss  0.840022, Time  0.237769
2021-09-16 21:07:50.515066 : Epoch 10, Batch   1724, Loss  0.873465, Average Loss  0.869417, Time  0.264288
2021-09-16 21:07:51.438693 : Epoch  9, Batch    969, Loss  0.826871, Average Loss  0.839886, Time  0.237528
2021-09-16 21:07:53.556134 : Epoch 10, Batch   1725, Loss  0.856122, Average Loss  0.869257, Time  0.264152
2021-09-16 21:07:54.024971 : Epoch  9, Batch    970, Loss  0.850303, Average Loss  0.839944, Time  0.237781
2021-09-16 21:07:56.597965 : Epoch  9, Batch    971, Loss  0.809841, Average Loss  0.839809, Time  0.237812
2021-09-16 21:07:59.274194 : Epoch  9, Batch    972, Loss  0.823072, Average Loss  0.839645, Time  0.238068
2021-09-16 21:07:59.651809 : Epoch 10, Batch   1727, Loss  0.868972, Average Loss  0.869272, Time  0.263850
2021-09-16 21:08:01.857680 : Epoch  9, Batch    973, Loss  0.856088, Average Loss  0.839798, Time  0.237831
2021-09-16 21:08:02.679183 : Epoch 10, Batch   1728, Loss  0.889727, Average Loss  0.869377, Time  0.264180
2021-09-16 21:08:04.441690 : Epoch  9, Batch    974, Loss  0.860518, Average Loss  0.839961, Time  0.237622
2021-09-16 21:08:05.719774 : Epoch 10, Batch   1729, Loss  0.861770, Average Loss  0.869385, Time  0.263692
2021-09-16 21:08:07.024705 : Epoch  9, Batch    975, Loss  0.836549, Average Loss  0.839817, Time  0.237677
2021-09-16 21:08:08.757307 : Epoch 10, Batch   1730, Loss  0.882885, Average Loss  0.869528, Time  0.264145
2021-09-16 21:08:09.618895 : Epoch  9, Batch    976, Loss  0.828963, Average Loss  0.839744, Time  0.237570
2021-09-16 21:08:11.806867 : Epoch 10, Batch   1731, Loss  0.891092, Average Loss  0.869586, Time  0.264138
2021-09-16 21:08:12.195739 : Epoch  9, Batch    977, Loss  0.826374, Average Loss  0.839770, Time  0.237744
2021-09-16 21:08:14.771798 : Epoch  9, Batch    978, Loss  0.850239, Average Loss  0.839778, Time  0.237807
2021-09-16 21:08:14.850764 : Epoch 10, Batch   1732, Loss  0.877445, Average Loss  0.869609, Time  0.264474
2021-09-16 21:08:17.351714 : Epoch  9, Batch    979, Loss  0.833788, Average Loss  0.839771, Time  0.237829
2021-09-16 21:08:17.904504 : Epoch 10, Batch   1733, Loss  0.863192, Average Loss  0.869772, Time  0.264417
2021-09-16 21:08:19.936715 : Epoch  9, Batch    980, Loss  0.830029, Average Loss  0.839721, Time  0.237523
2021-09-16 21:08:20.957108 : Epoch 10, Batch   1734, Loss  0.871659, Average Loss  0.869668, Time  0.264213
2021-09-16 21:08:22.542736 : Epoch  9, Batch    981, Loss  0.819956, Average Loss  0.839596, Time  0.237717
2021-09-16 21:08:23.996363 : Epoch 10, Batch   1735, Loss  0.870792, Average Loss  0.869633, Time  0.263983
2021-09-16 21:08:25.188016 : Epoch  9, Batch    982, Loss  0.852986, Average Loss  0.839554, Time  0.237527
2021-09-16 21:08:27.036748 : Epoch 10, Batch   1736, Loss  0.849860, Average Loss  0.869507, Time  0.264482
2021-09-16 21:08:27.772956 : Epoch  9, Batch    983, Loss  0.837143, Average Loss  0.839540, Time  0.237643
2021-09-16 21:08:30.090853 : Epoch 10, Batch   1737, Loss  0.861012, Average Loss  0.869446, Time  0.264189
2021-09-16 21:08:30.395676 : Epoch  9, Batch    984, Loss  0.851102, Average Loss  0.839684, Time  0.237766
2021-09-16 21:08:32.980845 : Epoch  9, Batch    985, Loss  0.821374, Average Loss  0.839483, Time  0.237849
2021-09-16 21:08:33.155536 : Epoch 10, Batch   1738, Loss  0.871559, Average Loss  0.869397, Time  0.276497
2021-09-16 21:08:35.562205 : Epoch  9, Batch    986, Loss  0.805869, Average Loss  0.839314, Time  0.237766
2021-09-16 21:08:36.186104 : Epoch 10, Batch   1739, Loss  0.854052, Average Loss  0.869276, Time  0.264764
2021-09-16 21:08:38.155376 : Epoch  9, Batch    987, Loss  0.818226, Average Loss  0.839295, Time  0.238270
2021-09-16 21:08:39.237464 : Epoch 10, Batch   1740, Loss  0.859516, Average Loss  0.869167, Time  0.264488
2021-09-16 21:08:40.786199 : Epoch  9, Batch    988, Loss  0.813361, Average Loss  0.839187, Time  0.237767
2021-09-16 21:08:42.280482 : Epoch 10, Batch   1741, Loss  0.858981, Average Loss  0.869082, Time  0.263957
2021-09-16 21:08:43.395000 : Epoch  9, Batch    989, Loss  0.819771, Average Loss  0.839087, Time  0.237513
2021-09-16 21:08:45.350984 : Epoch 10, Batch   1742, Loss  0.879225, Average Loss  0.869102, Time  0.264585
2021-09-16 21:08:45.984046 : Epoch  9, Batch    990, Loss  0.830977, Average Loss  0.839006, Time  0.237812
2021-09-16 21:08:48.396940 : Epoch 10, Batch   1743, Loss  0.885420, Average Loss  0.869113, Time  0.263868
2021-09-16 21:08:48.573938 : Epoch  9, Batch    991, Loss  0.820018, Average Loss  0.838870, Time  0.237436
2021-09-16 21:08:51.142938 : Epoch  9, Batch    992, Loss  0.839141, Average Loss  0.838901, Time  0.237794
2021-09-16 21:08:51.440906 : Epoch 10, Batch   1744, Loss  0.880295, Average Loss  0.869156, Time  0.264324
2021-09-16 21:08:53.746097 : Epoch  9, Batch    993, Loss  0.844564, Average Loss  0.838847, Time  0.237601
2021-09-16 21:08:54.476953 : Epoch 10, Batch   1745, Loss  0.865301, Average Loss  0.869147, Time  0.264293
2021-09-16 21:08:56.318765 : Epoch  9, Batch    994, Loss  0.847045, Average Loss  0.838814, Time  0.237788
2021-09-16 21:08:57.538446 : Epoch 10, Batch   1746, Loss  0.837284, Average Loss  0.868863, Time  0.264288
2021-09-16 21:08:58.906947 : Epoch  9, Batch    995, Loss  0.824936, Average Loss  0.838811, Time  0.237380
2021-09-16 21:09:00.603888 : Epoch 10, Batch   1747, Loss  0.853762, Average Loss  0.868806, Time  0.264445
2021-09-16 21:09:01.502892 : Epoch  9, Batch    996, Loss  0.842682, Average Loss  0.838855, Time  0.237645
2021-09-16 21:09:03.656120 : Epoch 10, Batch   1748, Loss  0.863761, Average Loss  0.868809, Time  0.265094
2021-09-16 21:09:04.098738 : Epoch  9, Batch    997, Loss  0.834874, Average Loss  0.838987, Time  0.237395
2021-09-16 21:09:06.675698 : Epoch  9, Batch    998, Loss  0.853919, Average Loss  0.838939, Time  0.237721
2021-09-16 21:09:06.702797 : Epoch 10, Batch   1749, Loss  0.864311, Average Loss  0.868711, Time  0.264324
2021-09-16 21:09:09.279127 : Epoch  9, Batch    999, Loss  0.837265, Average Loss  0.838940, Time  0.237636
2021-09-16 21:09:09.754480 : Epoch 10, Batch   1750, Loss  0.851077, Average Loss  0.868594, Time  0.264338
2021-09-16 21:09:11.881680 : Epoch  9, Batch   1000, Loss  0.826323, Average Loss  0.838839, Time  0.237776
2021-09-16 21:09:12.790811 : Epoch 10, Batch   1751, Loss  0.867201, Average Loss  0.868592, Time  0.264470
2021-09-16 21:09:14.467923 : Epoch  9, Batch   1001, Loss  0.840185, Average Loss  0.838824, Time  0.237650
2021-09-16 21:09:15.841569 : Epoch 10, Batch   1752, Loss  0.877073, Average Loss  0.868655, Time  0.264554
2021-09-16 21:09:17.042963 : Epoch  9, Batch   1002, Loss  0.848813, Average Loss  0.838836, Time  0.237574
2021-09-16 21:09:18.902996 : Epoch 10, Batch   1753, Loss  0.883391, Average Loss  0.868768, Time  0.276736
2021-09-16 21:09:19.626672 : Epoch  9, Batch   1003, Loss  0.848001, Average Loss  0.838887, Time  0.237504
2021-09-16 21:09:21.946366 : Epoch 10, Batch   1754, Loss  0.854783, Average Loss  0.868761, Time  0.264506
2021-09-16 21:09:22.203992 : Epoch  9, Batch   1004, Loss  0.863759, Average Loss  0.839128, Time  0.237487
2021-09-16 21:09:24.799058 : Epoch  9, Batch   1005, Loss  0.822703, Average Loss  0.839025, Time  0.238188
2021-09-16 21:09:24.990948 : Epoch 10, Batch   1755, Loss  0.854813, Average Loss  0.868780, Time  0.264404
2021-09-16 21:09:27.387045 : Epoch  9, Batch   1006, Loss  0.842133, Average Loss  0.838907, Time  0.237883
2021-09-16 21:09:28.018461 : Epoch 10, Batch   1756, Loss  0.874257, Average Loss  0.868852, Time  0.264183
2021-09-16 21:09:30.129994 : Epoch  9, Batch   1007, Loss  0.843022, Average Loss  0.838910, Time  0.237472
2021-09-16 21:09:31.056516 : Epoch 10, Batch   1757, Loss  0.879528, Average Loss  0.868932, Time  0.264187
2021-09-16 21:09:32.707172 : Epoch  9, Batch   1008, Loss  0.847365, Average Loss  0.838865, Time  0.237310
2021-09-16 21:09:34.105055 : Epoch 10, Batch   1758, Loss  0.874787, Average Loss  0.868937, Time  0.264539
2021-09-16 21:09:35.304231 : Epoch  9, Batch   1009, Loss  0.833122, Average Loss  0.838861, Time  0.237365
2021-09-16 21:09:37.157859 : Epoch 10, Batch   1759, Loss  0.878636, Average Loss  0.868980, Time  0.264020
2021-09-16 21:09:37.890027 : Epoch  9, Batch   1010, Loss  0.835610, Average Loss  0.838742, Time  0.238427
2021-09-16 21:09:40.219536 : Epoch 10, Batch   1760, Loss  0.869234, Average Loss  0.869025, Time  0.264038
2021-09-16 21:09:40.464555 : Epoch  9, Batch   1011, Loss  0.844783, Average Loss  0.838754, Time  0.238329
2021-09-16 21:09:43.058949 : Epoch  9, Batch   1012, Loss  0.813228, Average Loss  0.838620, Time  0.237536
2021-09-16 21:09:43.263914 : Epoch 10, Batch   1761, Loss  0.860782, Average Loss  0.868998, Time  0.264279
2021-09-16 21:09:45.648128 : Epoch  9, Batch   1013, Loss  0.847128, Average Loss  0.838609, Time  0.237849
2021-09-16 21:09:46.284453 : Epoch 10, Batch   1762, Loss  0.862229, Average Loss  0.868995, Time  0.264017
2021-09-16 21:09:48.231098 : Epoch  9, Batch   1014, Loss  0.835074, Average Loss  0.838596, Time  0.238084
2021-09-16 21:09:49.319704 : Epoch 10, Batch   1763, Loss  0.862600, Average Loss  0.868895, Time  0.264150
2021-09-16 21:09:50.826195 : Epoch  9, Batch   1015, Loss  0.833171, Average Loss  0.838475, Time  0.237669
2021-09-16 21:09:52.376243 : Epoch 10, Batch   1764, Loss  0.874043, Average Loss  0.868938, Time  0.264203
2021-09-16 21:09:53.415993 : Epoch  9, Batch   1016, Loss  0.856887, Average Loss  0.838659, Time  0.237638
2021-09-16 21:09:55.426257 : Epoch 10, Batch   1765, Loss  0.884622, Average Loss  0.869001, Time  0.264303
2021-09-16 21:09:56.047199 : Epoch  9, Batch   1017, Loss  0.843006, Average Loss  0.838776, Time  0.255876
2021-09-16 21:09:58.466532 : Epoch 10, Batch   1766, Loss  0.871620, Average Loss  0.869020, Time  0.264124
2021-09-16 21:09:58.645863 : Epoch  9, Batch   1018, Loss  0.824613, Average Loss  0.838807, Time  0.237883
2021-09-16 21:10:01.233293 : Epoch  9, Batch   1019, Loss  0.832604, Average Loss  0.838872, Time  0.238199
2021-09-16 21:10:01.508396 : Epoch 10, Batch   1767, Loss  0.869559, Average Loss  0.868984, Time  0.264266
2021-09-16 21:10:03.827742 : Epoch  9, Batch   1020, Loss  0.830536, Average Loss  0.838906, Time  0.237777
2021-09-16 21:10:04.542903 : Epoch 10, Batch   1768, Loss  0.849786, Average Loss  0.868897, Time  0.278547
2021-09-16 21:10:06.418918 : Epoch  9, Batch   1021, Loss  0.831867, Average Loss  0.838723, Time  0.237568
2021-09-16 21:10:07.586280 : Epoch 10, Batch   1769, Loss  0.862857, Average Loss  0.868831, Time  0.265066
2021-09-16 21:10:08.999163 : Epoch  9, Batch   1022, Loss  0.859979, Average Loss  0.838938, Time  0.237749
2021-09-16 21:10:10.643828 : Epoch 10, Batch   1770, Loss  0.865409, Average Loss  0.868880, Time  0.264581
2021-09-16 21:10:11.582673 : Epoch  9, Batch   1023, Loss  0.834502, Average Loss  0.838957, Time  0.238005
2021-09-16 21:10:13.677968 : Epoch 10, Batch   1771, Loss  0.860288, Average Loss  0.868820, Time  0.264616
2021-09-16 21:10:14.166175 : Epoch  9, Batch   1024, Loss  0.830868, Average Loss  0.838921, Time  0.238025
2021-09-16 21:10:16.739735 : Epoch  9, Batch   1025, Loss  0.823584, Average Loss  0.838787, Time  0.237632
2021-09-16 21:10:19.347761 : Epoch  9, Batch   1026, Loss  0.817840, Average Loss  0.838772, Time  0.237694
2021-09-16 21:10:19.785244 : Epoch 10, Batch   1773, Loss  0.857439, Average Loss  0.868717, Time  0.264143
2021-09-16 21:10:21.932022 : Epoch  9, Batch   1027, Loss  0.838953, Average Loss  0.838788, Time  0.237812
2021-09-16 21:10:22.819880 : Epoch 10, Batch   1774, Loss  0.864845, Average Loss  0.868638, Time  0.264329
2021-09-16 21:10:24.536949 : Epoch  9, Batch   1028, Loss  0.844712, Average Loss  0.838695, Time  0.237361
2021-09-16 21:10:25.866948 : Epoch 10, Batch   1775, Loss  0.889359, Average Loss  0.868733, Time  0.264677
2021-09-16 21:10:27.153672 : Epoch  9, Batch   1029, Loss  0.840037, Average Loss  0.838675, Time  0.237432
2021-09-16 21:10:28.915913 : Epoch 10, Batch   1776, Loss  0.834987, Average Loss  0.868589, Time  0.264255
2021-09-16 21:10:29.758894 : Epoch  9, Batch   1030, Loss  0.844717, Average Loss  0.838681, Time  0.237443
2021-09-16 21:10:31.959302 : Epoch 10, Batch   1777, Loss  0.882172, Average Loss  0.868649, Time  0.264227
2021-09-16 21:10:32.364975 : Epoch  9, Batch   1031, Loss  0.838582, Average Loss  0.838721, Time  0.237641
2021-09-16 21:10:34.958953 : Epoch  9, Batch   1032, Loss  0.844374, Average Loss  0.838679, Time  0.243565
2021-09-16 21:10:35.022749 : Epoch 10, Batch   1778, Loss  0.871015, Average Loss  0.868669, Time  0.264239
2021-09-16 21:10:37.537019 : Epoch  9, Batch   1033, Loss  0.849613, Average Loss  0.838712, Time  0.238041
2021-09-16 21:10:38.062919 : Epoch 10, Batch   1779, Loss  0.886545, Average Loss  0.868672, Time  0.264493
2021-09-16 21:10:40.112883 : Epoch  9, Batch   1034, Loss  0.823783, Average Loss  0.838652, Time  0.237952
2021-09-16 21:10:41.095611 : Epoch 10, Batch   1780, Loss  0.871348, Average Loss  0.868676, Time  0.264470
2021-09-16 21:10:42.715784 : Epoch  9, Batch   1035, Loss  0.838808, Average Loss  0.838627, Time  0.237715
2021-09-16 21:10:44.135315 : Epoch 10, Batch   1781, Loss  0.861679, Average Loss  0.868613, Time  0.264446
2021-09-16 21:10:45.301279 : Epoch  9, Batch   1036, Loss  0.835747, Average Loss  0.838689, Time  0.237968
2021-09-16 21:10:47.183079 : Epoch 10, Batch   1782, Loss  0.874624, Average Loss  0.868658, Time  0.264208
2021-09-16 21:10:47.904081 : Epoch  9, Batch   1037, Loss  0.848375, Average Loss  0.838762, Time  0.237525
2021-09-16 21:10:50.231101 : Epoch 10, Batch   1783, Loss  0.834047, Average Loss  0.868477, Time  0.274526
2021-09-16 21:10:50.478119 : Epoch  9, Batch   1038, Loss  0.864553, Average Loss  0.838843, Time  0.237603
2021-09-16 21:10:53.061816 : Epoch  9, Batch   1039, Loss  0.857710, Average Loss  0.838948, Time  0.237793
2021-09-16 21:10:53.274696 : Epoch 10, Batch   1784, Loss  0.870011, Average Loss  0.868355, Time  0.264176
2021-09-16 21:10:55.653715 : Epoch  9, Batch   1040, Loss  0.811959, Average Loss  0.838717, Time  0.237799
2021-09-16 21:10:56.307107 : Epoch 10, Batch   1785, Loss  0.878468, Average Loss  0.868308, Time  0.264030
2021-09-16 21:10:58.234001 : Epoch  9, Batch   1041, Loss  0.837361, Average Loss  0.838753, Time  0.237483
2021-09-16 21:10:59.341713 : Epoch 10, Batch   1786, Loss  0.860792, Average Loss  0.868272, Time  0.263846
2021-09-16 21:11:00.833746 : Epoch  9, Batch   1042, Loss  0.827386, Average Loss  0.838714, Time  0.237459
2021-09-16 21:11:02.384330 : Epoch 10, Batch   1787, Loss  0.861256, Average Loss  0.868224, Time  0.263890
2021-09-16 21:11:03.443688 : Epoch  9, Batch   1043, Loss  0.844778, Average Loss  0.838690, Time  0.237780
2021-09-16 21:11:05.422613 : Epoch 10, Batch   1788, Loss  0.852212, Average Loss  0.868168, Time  0.264166
2021-09-16 21:11:06.026778 : Epoch  9, Batch   1044, Loss  0.853526, Average Loss  0.838843, Time  0.237711
2021-09-16 21:11:08.468549 : Epoch 10, Batch   1789, Loss  0.874574, Average Loss  0.868160, Time  0.263984
2021-09-16 21:11:08.628670 : Epoch  9, Batch   1045, Loss  0.839177, Average Loss  0.838822, Time  0.238786
2021-09-16 21:11:11.197925 : Epoch  9, Batch   1046, Loss  0.817744, Average Loss  0.838688, Time  0.237370
2021-09-16 21:11:11.516111 : Epoch 10, Batch   1790, Loss  0.868913, Average Loss  0.868153, Time  0.264386
2021-09-16 21:11:13.779708 : Epoch  9, Batch   1047, Loss  0.845733, Average Loss  0.838788, Time  0.237925
2021-09-16 21:11:14.549993 : Epoch 10, Batch   1791, Loss  0.894020, Average Loss  0.868290, Time  0.264085
2021-09-16 21:11:16.359708 : Epoch  9, Batch   1048, Loss  0.837420, Average Loss  0.838806, Time  0.238487
2021-09-16 21:11:17.590983 : Epoch 10, Batch   1792, Loss  0.898738, Average Loss  0.868411, Time  0.263942
2021-09-16 21:11:18.963765 : Epoch  9, Batch   1049, Loss  0.807195, Average Loss  0.838566, Time  0.237525
2021-09-16 21:11:20.636952 : Epoch 10, Batch   1793, Loss  0.882091, Average Loss  0.868396, Time  0.263887
2021-09-16 21:11:21.543176 : Epoch  9, Batch   1050, Loss  0.835647, Average Loss  0.838461, Time  0.237599
2021-09-16 21:11:23.676601 : Epoch 10, Batch   1794, Loss  0.866715, Average Loss  0.868452, Time  0.263876
2021-09-16 21:11:24.126896 : Epoch  9, Batch   1051, Loss  0.824659, Average Loss  0.838342, Time  0.237651
2021-09-16 21:11:26.724115 : Epoch 10, Batch   1795, Loss  0.866369, Average Loss  0.868469, Time  0.264362
2021-09-16 21:11:26.723290 : Epoch  9, Batch   1052, Loss  0.840943, Average Loss  0.838387, Time  0.237715
2021-09-16 21:11:29.761649 : Epoch 10, Batch   1796, Loss  0.846747, Average Loss  0.868282, Time  0.264409
2021-09-16 21:15:22.381683 : CheckPoint: Validation Loss  0.00028847, Best Loss  0.00028450
2021-09-16 21:15:24.940987 : Epoch  9, Batch   1053, Loss  0.860592, Average Loss  0.838588, Time  0.237698
2021-09-16 21:15:27.511003 : Epoch  9, Batch   1054, Loss  0.828606, Average Loss  0.838476, Time  0.237938
2021-09-16 21:15:30.099747 : Epoch  9, Batch   1055, Loss  0.834846, Average Loss  0.838432, Time  0.238383
2021-09-16 21:15:32.697148 : Epoch  9, Batch   1056, Loss  0.827727, Average Loss  0.838288, Time  0.238147
2021-09-16 21:15:35.282314 : Epoch  9, Batch   1057, Loss  0.852001, Average Loss  0.838273, Time  0.238128
2021-09-16 21:15:37.858144 : Epoch  9, Batch   1058, Loss  0.828234, Average Loss  0.838239, Time  0.237765
2021-09-16 21:15:40.443829 : Epoch  9, Batch   1059, Loss  0.832322, Average Loss  0.838269, Time  0.237583
2021-09-16 21:15:43.029119 : Epoch  9, Batch   1060, Loss  0.842090, Average Loss  0.838288, Time  0.238490
2021-09-16 21:15:45.613930 : Epoch  9, Batch   1061, Loss  0.835384, Average Loss  0.838404, Time  0.237571
2021-09-16 21:15:48.204754 : Epoch  9, Batch   1062, Loss  0.846262, Average Loss  0.838389, Time  0.237863
2021-09-16 21:15:50.804954 : Epoch  9, Batch   1063, Loss  0.816530, Average Loss  0.838279, Time  0.237658
2021-09-16 21:15:53.392048 : Epoch  9, Batch   1064, Loss  0.818837, Average Loss  0.838142, Time  0.238235
2021-09-16 21:15:55.971869 : Epoch  9, Batch   1065, Loss  0.830410, Average Loss  0.838091, Time  0.238054
2021-09-16 21:15:58.557726 : Epoch  9, Batch   1066, Loss  0.836981, Average Loss  0.838038, Time  0.237695
2021-09-16 21:16:01.145689 : Epoch  9, Batch   1067, Loss  0.858946, Average Loss  0.838155, Time  0.237778
2021-09-16 21:16:03.729485 : Epoch  9, Batch   1068, Loss  0.835698, Average Loss  0.838225, Time  0.238278
2021-09-16 21:16:06.330909 : Epoch  9, Batch   1069, Loss  0.833322, Average Loss  0.838132, Time  0.237715
2021-09-16 21:16:09.163241 : Epoch  9, Batch   1070, Loss  0.829329, Average Loss  0.838096, Time  0.238144
2021-09-16 21:16:10.881790 : CheckPoint: Validation Loss  0.00030756, Best Loss  0.00029014
2021-09-16 21:16:11.749925 : Epoch  9, Batch   1071, Loss  0.839502, Average Loss  0.837987, Time  0.237455
2021-09-16 21:16:13.928863 : Epoch 10, Batch   1797, Loss  0.848320, Average Loss  0.868218, Time  0.265590
2021-09-16 21:16:14.339735 : Epoch  9, Batch   1072, Loss  0.836312, Average Loss  0.837922, Time  0.237909
2021-09-16 21:16:16.914961 : Epoch  9, Batch   1073, Loss  0.825458, Average Loss  0.837876, Time  0.238056
2021-09-16 21:16:16.966200 : Epoch 10, Batch   1798, Loss  0.868222, Average Loss  0.868310, Time  0.264173
2021-09-16 21:16:19.493028 : Epoch  9, Batch   1074, Loss  0.823160, Average Loss  0.837872, Time  0.238053
2021-09-16 21:16:19.999347 : Epoch 10, Batch   1799, Loss  0.865977, Average Loss  0.868235, Time  0.264127
2021-09-16 21:16:22.074988 : Epoch  9, Batch   1075, Loss  0.851485, Average Loss  0.837970, Time  0.238067
2021-09-16 21:16:23.023702 : Epoch 10, Batch   1800, Loss  0.847563, Average Loss  0.868178, Time  0.264380
2021-09-16 21:16:24.657744 : Epoch  9, Batch   1076, Loss  0.811392, Average Loss  0.837814, Time  0.237796
2021-09-16 21:16:26.070329 : Epoch 10, Batch   1801, Loss  0.876678, Average Loss  0.868219, Time  0.263998
2021-09-16 21:16:27.240673 : Epoch  9, Batch   1077, Loss  0.849786, Average Loss  0.837794, Time  0.238213
2021-09-16 21:16:29.100537 : Epoch 10, Batch   1802, Loss  0.849749, Average Loss  0.868073, Time  0.264460
2021-09-16 21:16:29.829641 : Epoch  9, Batch   1078, Loss  0.840900, Average Loss  0.837834, Time  0.237636
2021-09-16 21:16:32.143495 : Epoch 10, Batch   1803, Loss  0.855150, Average Loss  0.867999, Time  0.264108
2021-09-16 21:16:32.408743 : Epoch  9, Batch   1079, Loss  0.831999, Average Loss  0.837674, Time  0.237475
2021-09-16 21:16:34.978944 : Epoch  9, Batch   1080, Loss  0.811522, Average Loss  0.837575, Time  0.237589
2021-09-16 21:16:35.178598 : Epoch 10, Batch   1804, Loss  0.865137, Average Loss  0.867841, Time  0.264660
2021-09-16 21:16:37.560465 : Epoch  9, Batch   1081, Loss  0.856421, Average Loss  0.837689, Time  0.238364
2021-09-16 21:16:38.199937 : Epoch 10, Batch   1805, Loss  0.856556, Average Loss  0.867761, Time  0.264257
2021-09-16 21:16:40.152612 : Epoch  9, Batch   1082, Loss  0.840380, Average Loss  0.837753, Time  0.238267
2021-09-16 21:16:41.235762 : Epoch 10, Batch   1806, Loss  0.873640, Average Loss  0.867688, Time  0.264413
2021-09-16 21:16:42.759006 : Epoch  9, Batch   1083, Loss  0.821198, Average Loss  0.837647, Time  0.237820
2021-09-16 21:16:44.271577 : Epoch 10, Batch   1807, Loss  0.877369, Average Loss  0.867690, Time  0.264870
2021-09-16 21:16:45.341767 : Epoch  9, Batch   1084, Loss  0.839400, Average Loss  0.837662, Time  0.237893
2021-09-16 21:16:47.317274 : Epoch 10, Batch   1808, Loss  0.851848, Average Loss  0.867559, Time  0.264478
2021-09-16 21:16:47.935723 : Epoch  9, Batch   1085, Loss  0.828603, Average Loss  0.837538, Time  0.237334
2021-09-16 21:16:50.355309 : Epoch 10, Batch   1809, Loss  0.860096, Average Loss  0.867492, Time  0.264585
2021-09-16 21:16:50.521822 : Epoch  9, Batch   1086, Loss  0.830150, Average Loss  0.837526, Time  0.238012
2021-09-16 21:16:53.091920 : Epoch  9, Batch   1087, Loss  0.846916, Average Loss  0.837623, Time  0.237411
2021-09-16 21:16:53.402648 : Epoch 10, Batch   1810, Loss  0.856534, Average Loss  0.867425, Time  0.275121
2021-09-16 21:16:55.670962 : Epoch  9, Batch   1088, Loss  0.819265, Average Loss  0.837523, Time  0.237618
2021-09-16 21:16:56.426980 : Epoch 10, Batch   1811, Loss  0.868715, Average Loss  0.867347, Time  0.264452
2021-09-16 21:16:58.256957 : Epoch  9, Batch   1089, Loss  0.844315, Average Loss  0.837658, Time  0.237956
2021-09-16 21:16:59.449351 : Epoch 10, Batch   1812, Loss  0.859754, Average Loss  0.867281, Time  0.264038
2021-09-16 21:17:00.836978 : Epoch  9, Batch   1090, Loss  0.836092, Average Loss  0.837638, Time  0.237704
2021-09-16 21:17:02.489307 : Epoch 10, Batch   1813, Loss  0.869670, Average Loss  0.867334, Time  0.264090
2021-09-16 21:17:03.419031 : Epoch  9, Batch   1091, Loss  0.828052, Average Loss  0.837694, Time  0.237539
2021-09-16 21:17:05.533206 : Epoch 10, Batch   1814, Loss  0.875923, Average Loss  0.867404, Time  0.264304
2021-09-16 21:17:06.002689 : Epoch  9, Batch   1092, Loss  0.840431, Average Loss  0.837610, Time  0.237652
2021-09-16 21:17:08.573039 : Epoch 10, Batch   1815, Loss  0.894667, Average Loss  0.867495, Time  0.263810
2021-09-16 21:17:08.572500 : Epoch  9, Batch   1093, Loss  0.821472, Average Loss  0.837538, Time  0.238099
2021-09-16 21:17:11.199962 : Epoch  9, Batch   1094, Loss  0.855156, Average Loss  0.837606, Time  0.237448
2021-09-16 21:17:11.608598 : Epoch 10, Batch   1816, Loss  0.869733, Average Loss  0.867396, Time  0.264286
2021-09-16 21:17:13.806210 : Epoch  9, Batch   1095, Loss  0.822852, Average Loss  0.837590, Time  0.237523
2021-09-16 21:17:14.629789 : Epoch 10, Batch   1817, Loss  0.854911, Average Loss  0.867376, Time  0.264508
2021-09-16 21:17:16.384675 : Epoch  9, Batch   1096, Loss  0.828191, Average Loss  0.837545, Time  0.237740
2021-09-16 21:17:17.679482 : Epoch 10, Batch   1818, Loss  0.863488, Average Loss  0.867292, Time  0.263954
2021-09-16 21:17:18.966608 : Epoch  9, Batch   1097, Loss  0.842328, Average Loss  0.837563, Time  0.237748
2021-09-16 21:17:20.715041 : Epoch 10, Batch   1819, Loss  0.871929, Average Loss  0.867293, Time  0.264056
2021-09-16 21:17:21.542168 : Epoch  9, Batch   1098, Loss  0.828115, Average Loss  0.837525, Time  0.237607
2021-09-16 21:17:23.751324 : Epoch 10, Batch   1820, Loss  0.877884, Average Loss  0.867354, Time  0.264137
2021-09-16 21:17:24.145240 : Epoch  9, Batch   1099, Loss  0.838715, Average Loss  0.837401, Time  0.238242
2021-09-16 21:17:26.756915 : Epoch  9, Batch   1100, Loss  0.850571, Average Loss  0.837391, Time  0.237810
2021-09-16 21:17:26.792801 : Epoch 10, Batch   1821, Loss  0.863464, Average Loss  0.867236, Time  0.264066
2021-09-16 21:17:29.379027 : Epoch  9, Batch   1101, Loss  0.841426, Average Loss  0.837394, Time  0.237587
2021-09-16 21:17:29.833184 : Epoch 10, Batch   1822, Loss  0.879686, Average Loss  0.867380, Time  0.264135
2021-09-16 21:17:31.968818 : Epoch  9, Batch   1102, Loss  0.839385, Average Loss  0.837427, Time  0.237560
2021-09-16 21:17:32.851862 : Epoch 10, Batch   1823, Loss  0.851068, Average Loss  0.867361, Time  0.263901
2021-09-16 21:17:34.557884 : Epoch  9, Batch   1103, Loss  0.838844, Average Loss  0.837393, Time  0.237688
2021-09-16 21:17:35.887949 : Epoch 10, Batch   1824, Loss  0.846511, Average Loss  0.867252, Time  0.263849
2021-09-16 21:17:37.143970 : Epoch  9, Batch   1104, Loss  0.807694, Average Loss  0.837201, Time  0.237738
2021-09-16 21:17:38.942987 : Epoch 10, Batch   1825, Loss  0.850212, Average Loss  0.867255, Time  0.277801
2021-09-16 21:17:39.724958 : Epoch  9, Batch   1105, Loss  0.842865, Average Loss  0.837080, Time  0.237796
2021-09-16 21:17:41.999100 : Epoch 10, Batch   1826, Loss  0.871788, Average Loss  0.867291, Time  0.264694
2021-09-16 21:17:42.306820 : Epoch  9, Batch   1106, Loss  0.820288, Average Loss  0.836976, Time  0.237472
2021-09-16 21:17:44.884273 : Epoch  9, Batch   1107, Loss  0.843578, Average Loss  0.837013, Time  0.237594
2021-09-16 21:17:45.039742 : Epoch 10, Batch   1827, Loss  0.896821, Average Loss  0.867431, Time  0.264524
2021-09-16 21:17:47.470947 : Epoch  9, Batch   1108, Loss  0.835555, Average Loss  0.836977, Time  0.238109
2021-09-16 21:17:48.066714 : Epoch 10, Batch   1828, Loss  0.864907, Average Loss  0.867356, Time  0.264255
2021-09-16 21:17:50.051972 : Epoch  9, Batch   1109, Loss  0.834832, Average Loss  0.836960, Time  0.237704
2021-09-16 21:17:51.119589 : Epoch 10, Batch   1829, Loss  0.854631, Average Loss  0.867260, Time  0.264297
2021-09-16 21:17:52.625907 : Epoch  9, Batch   1110, Loss  0.837866, Average Loss  0.836962, Time  0.237771
2021-09-16 21:17:54.157499 : Epoch 10, Batch   1830, Loss  0.847974, Average Loss  0.867104, Time  0.263921
2021-09-16 21:17:55.202075 : Epoch  9, Batch   1111, Loss  0.855246, Average Loss  0.837076, Time  0.238205
2021-09-16 21:17:57.192781 : Epoch 10, Batch   1831, Loss  0.844847, Average Loss  0.867035, Time  0.264441
2021-09-16 21:17:57.784917 : Epoch  9, Batch   1112, Loss  0.817348, Average Loss  0.837005, Time  0.237937
2021-09-16 21:18:00.236615 : Epoch 10, Batch   1832, Loss  0.881646, Average Loss  0.867186, Time  0.264187
2021-09-16 21:18:00.357680 : Epoch  9, Batch   1113, Loss  0.856188, Average Loss  0.837132, Time  0.237807
2021-09-16 21:18:02.929691 : Epoch  9, Batch   1114, Loss  0.838142, Average Loss  0.837174, Time  0.237492
2021-09-16 21:18:03.275108 : Epoch 10, Batch   1833, Loss  0.858355, Average Loss  0.867160, Time  0.264191
2021-09-16 21:18:05.513733 : Epoch  9, Batch   1115, Loss  0.855533, Average Loss  0.837332, Time  0.238181
2021-09-16 21:18:06.318986 : Epoch 10, Batch   1834, Loss  0.871464, Average Loss  0.867153, Time  0.266312
2021-09-16 21:18:08.085188 : Epoch  9, Batch   1116, Loss  0.843111, Average Loss  0.837392, Time  0.237419
2021-09-16 21:18:09.352098 : Epoch 10, Batch   1835, Loss  0.874959, Average Loss  0.867156, Time  0.264113
2021-09-16 21:18:10.664731 : Epoch  9, Batch   1117, Loss  0.836221, Average Loss  0.837393, Time  0.237567
2021-09-16 21:18:12.386227 : Epoch 10, Batch   1836, Loss  0.881751, Average Loss  0.867245, Time  0.264501
2021-09-16 21:18:13.244835 : Epoch  9, Batch   1118, Loss  0.838649, Average Loss  0.837284, Time  0.237506
2021-09-16 21:18:15.426999 : Epoch 10, Batch   1837, Loss  0.867781, Average Loss  0.867185, Time  0.264149
2021-09-16 21:18:15.821940 : Epoch  9, Batch   1119, Loss  0.856983, Average Loss  0.837405, Time  0.237463
2021-09-16 21:18:18.392979 : Epoch  9, Batch   1120, Loss  0.844569, Average Loss  0.837411, Time  0.237517
2021-09-16 21:18:18.466934 : Epoch 10, Batch   1838, Loss  0.882400, Average Loss  0.867248, Time  0.264098
2021-09-16 21:18:20.974926 : Epoch  9, Batch   1121, Loss  0.848889, Average Loss  0.837381, Time  0.237427
2021-09-16 21:18:21.499674 : Epoch 10, Batch   1839, Loss  0.852712, Average Loss  0.867127, Time  0.264320
2021-09-16 21:18:23.556358 : Epoch  9, Batch   1122, Loss  0.853024, Average Loss  0.837560, Time  0.237741
2021-09-16 21:18:24.539721 : Epoch 10, Batch   1840, Loss  0.863770, Average Loss  0.867144, Time  0.271842
2021-09-16 21:18:26.137960 : Epoch  9, Batch   1123, Loss  0.858280, Average Loss  0.837654, Time  0.237667
2021-09-16 21:18:27.573082 : Epoch 10, Batch   1841, Loss  0.851427, Average Loss  0.867155, Time  0.264455
2021-09-16 21:18:28.721736 : Epoch  9, Batch   1124, Loss  0.842355, Average Loss  0.837568, Time  0.238151
2021-09-16 21:18:30.604303 : Epoch 10, Batch   1842, Loss  0.855523, Average Loss  0.867172, Time  0.264466
2021-09-16 21:18:31.347907 : Epoch  9, Batch   1125, Loss  0.839833, Average Loss  0.837592, Time  0.237412
2021-09-16 21:18:33.638259 : Epoch 10, Batch   1843, Loss  0.873335, Average Loss  0.867209, Time  0.264110
2021-09-16 21:18:33.928963 : Epoch  9, Batch   1126, Loss  0.846161, Average Loss  0.837644, Time  0.237628
2021-09-16 21:18:36.522982 : Epoch  9, Batch   1127, Loss  0.854719, Average Loss  0.837701, Time  0.237450
2021-09-16 21:18:36.672518 : Epoch 10, Batch   1844, Loss  0.872584, Average Loss  0.867317, Time  0.264238
2021-09-16 21:18:39.106045 : Epoch  9, Batch   1128, Loss  0.833327, Average Loss  0.837639, Time  0.238028
2021-09-16 21:18:39.702476 : Epoch 10, Batch   1845, Loss  0.889978, Average Loss  0.867484, Time  0.264363
2021-09-16 21:18:41.685017 : Epoch  9, Batch   1129, Loss  0.831486, Average Loss  0.837558, Time  0.237500
2021-09-16 21:18:42.745163 : Epoch 10, Batch   1846, Loss  0.868548, Average Loss  0.867548, Time  0.264031
2021-09-16 21:18:44.273735 : Epoch  9, Batch   1130, Loss  0.832592, Average Loss  0.837405, Time  0.237420
2021-09-16 21:18:45.785819 : Epoch 10, Batch   1847, Loss  0.881819, Average Loss  0.867591, Time  0.264609
2021-09-16 21:18:46.870457 : Epoch  9, Batch   1131, Loss  0.836440, Average Loss  0.837436, Time  0.238052
2021-09-16 21:18:48.834073 : Epoch 10, Batch   1848, Loss  0.875245, Average Loss  0.867632, Time  0.264177
2021-09-16 21:18:49.440919 : Epoch  9, Batch   1132, Loss  0.836408, Average Loss  0.837421, Time  0.237533
2021-09-16 21:18:51.875083 : Epoch 10, Batch   1849, Loss  0.846149, Average Loss  0.867400, Time  0.264345
2021-09-16 21:18:52.013228 : Epoch  9, Batch   1133, Loss  0.810784, Average Loss  0.837353, Time  0.237494
2021-09-16 21:18:54.580744 : Epoch  9, Batch   1134, Loss  0.838446, Average Loss  0.837293, Time  0.237734
2021-09-16 21:18:54.931638 : Epoch 10, Batch   1850, Loss  0.877620, Average Loss  0.867437, Time  0.264207
2021-09-16 21:18:57.170715 : Epoch  9, Batch   1135, Loss  0.824386, Average Loss  0.837258, Time  0.237385
2021-09-16 21:18:57.957527 : Epoch 10, Batch   1851, Loss  0.849283, Average Loss  0.867273, Time  0.264476
2021-09-16 21:18:59.785986 : Epoch  9, Batch   1136, Loss  0.830848, Average Loss  0.837159, Time  0.237365
2021-09-16 21:19:00.998100 : Epoch 10, Batch   1852, Loss  0.868805, Average Loss  0.867155, Time  0.264343
2021-09-16 21:19:02.378984 : Epoch  9, Batch   1137, Loss  0.815954, Average Loss  0.837051, Time  0.237488
2021-09-16 21:19:04.048336 : Epoch 10, Batch   1853, Loss  0.868678, Average Loss  0.867182, Time  0.264295
2021-09-16 21:19:04.954950 : Epoch  9, Batch   1138, Loss  0.821232, Average Loss  0.836949, Time  0.237689
2021-09-16 21:19:07.088800 : Epoch 10, Batch   1854, Loss  0.849874, Average Loss  0.867153, Time  0.264204
2021-09-16 21:19:07.538744 : Epoch  9, Batch   1139, Loss  0.849828, Average Loss  0.837024, Time  0.237439
2021-09-16 21:19:10.108985 : Epoch  9, Batch   1140, Loss  0.837201, Average Loss  0.836930, Time  0.237500
2021-09-16 21:19:10.129711 : Epoch 10, Batch   1855, Loss  0.884224, Average Loss  0.867237, Time  0.272927
2021-09-16 21:19:12.682967 : Epoch  9, Batch   1141, Loss  0.839398, Average Loss  0.836986, Time  0.237474
2021-09-16 21:19:13.175773 : Epoch 10, Batch   1856, Loss  0.861323, Average Loss  0.867165, Time  0.264226
2021-09-16 21:19:13.202393 : Saving Model after 10-th Epoch.
2021-09-16 21:19:14.168644 : Epoch Finished.
2021-09-16 21:19:15.273708 : Epoch  9, Batch   1142, Loss  0.825986, Average Loss  0.836911, Time  0.237994
2021-09-16 21:19:17.858911 : Epoch  9, Batch   1143, Loss  0.844396, Average Loss  0.836947, Time  0.238044
2021-09-16 21:19:20.434135 : Epoch  9, Batch   1144, Loss  0.821573, Average Loss  0.836921, Time  0.237554
2021-09-16 21:19:23.014948 : Epoch  9, Batch   1145, Loss  0.822126, Average Loss  0.836827, Time  0.237373
2021-09-16 21:19:25.604692 : Epoch  9, Batch   1146, Loss  0.826137, Average Loss  0.836798, Time  0.237657
2021-09-16 21:19:28.185726 : Epoch  9, Batch   1147, Loss  0.847913, Average Loss  0.836757, Time  0.237941
2021-09-16 21:19:30.765936 : Epoch  9, Batch   1148, Loss  0.849771, Average Loss  0.836813, Time  0.237592
2021-09-16 21:19:33.340675 : Epoch  9, Batch   1149, Loss  0.814930, Average Loss  0.836715, Time  0.237686
2021-09-16 21:19:35.929038 : Epoch  9, Batch   1150, Loss  0.831832, Average Loss  0.836620, Time  0.237231
2021-09-16 21:19:38.516922 : Epoch  9, Batch   1151, Loss  0.853294, Average Loss  0.836704, Time  0.237854
2021-09-16 21:19:47.039017 : Epoch  9, Batch   1152, Loss  0.823199, Average Loss  0.836617, Time  0.273855
2021-09-16 21:23:41.754683 : CheckPoint: Validation Loss  0.00029404, Best Loss  0.00028450
2021-09-16 21:23:44.300027 : Epoch  9, Batch   1153, Loss  0.833857, Average Loss  0.836593, Time  0.237667
2021-09-16 21:23:46.864734 : Epoch  9, Batch   1154, Loss  0.833023, Average Loss  0.836563, Time  0.238084
2021-09-16 21:23:49.427940 : Epoch  9, Batch   1155, Loss  0.851835, Average Loss  0.836540, Time  0.237300
2021-09-16 21:23:51.980011 : Epoch  9, Batch   1156, Loss  0.823013, Average Loss  0.836501, Time  0.237624
2021-09-16 21:23:54.539676 : Epoch  9, Batch   1157, Loss  0.849290, Average Loss  0.836633, Time  0.237833
2021-09-16 21:23:57.102993 : Epoch  9, Batch   1158, Loss  0.846273, Average Loss  0.836711, Time  0.237706
2021-09-16 21:23:59.662601 : Epoch  9, Batch   1159, Loss  0.850789, Average Loss  0.836751, Time  0.237771
2021-09-16 21:24:02.212736 : Epoch  9, Batch   1160, Loss  0.867978, Average Loss  0.836875, Time  0.237655
2021-09-16 21:24:04.781783 : Epoch  9, Batch   1161, Loss  0.842283, Average Loss  0.836819, Time  0.238039
2021-09-16 21:24:07.329848 : Epoch  9, Batch   1162, Loss  0.837330, Average Loss  0.836778, Time  0.237833
2021-09-16 21:24:09.874810 : Epoch  9, Batch   1163, Loss  0.844036, Average Loss  0.836832, Time  0.238643
2021-09-16 21:24:12.433023 : Epoch  9, Batch   1164, Loss  0.837518, Average Loss  0.836726, Time  0.238361
2021-09-16 21:24:14.986050 : Epoch  9, Batch   1165, Loss  0.831147, Average Loss  0.836661, Time  0.237497
2021-09-16 21:24:17.537899 : Epoch  9, Batch   1166, Loss  0.854606, Average Loss  0.836749, Time  0.237590
2021-09-16 21:24:20.094934 : Epoch  9, Batch   1167, Loss  0.845494, Average Loss  0.836784, Time  0.237857
2021-09-16 21:24:22.652974 : Epoch  9, Batch   1168, Loss  0.806233, Average Loss  0.836610, Time  0.237689
2021-09-16 21:24:25.212804 : Epoch  9, Batch   1169, Loss  0.827750, Average Loss  0.836615, Time  0.237395
2021-09-16 21:24:27.770960 : Epoch  9, Batch   1170, Loss  0.858549, Average Loss  0.836656, Time  0.237579
2021-09-16 21:24:30.330076 : Epoch  9, Batch   1171, Loss  0.851516, Average Loss  0.836864, Time  0.237684
2021-09-16 21:24:32.885031 : Epoch  9, Batch   1172, Loss  0.855770, Average Loss  0.837028, Time  0.238648
2021-09-16 21:24:35.446038 : Epoch  9, Batch   1173, Loss  0.844473, Average Loss  0.836970, Time  0.237811
2021-09-16 21:24:38.004913 : Epoch  9, Batch   1174, Loss  0.815378, Average Loss  0.836744, Time  0.237524
2021-09-16 21:24:40.559676 : Epoch  9, Batch   1175, Loss  0.858841, Average Loss  0.836856, Time  0.237669
2021-09-16 21:24:43.120678 : Epoch  9, Batch   1176, Loss  0.833299, Average Loss  0.836877, Time  0.237637
2021-09-16 21:24:45.672115 : Epoch  9, Batch   1177, Loss  0.838466, Average Loss  0.836938, Time  0.237530
2021-09-16 21:24:48.224690 : Epoch  9, Batch   1178, Loss  0.853769, Average Loss  0.836955, Time  0.237497
2021-09-16 21:24:50.783957 : Epoch  9, Batch   1179, Loss  0.846810, Average Loss  0.837020, Time  0.237405
2021-09-16 21:24:53.348190 : Epoch  9, Batch   1180, Loss  0.840781, Average Loss  0.837074, Time  0.237729
2021-09-16 21:24:55.910025 : Epoch  9, Batch   1181, Loss  0.849164, Average Loss  0.837220, Time  0.237551
2021-09-16 21:24:58.468718 : Epoch  9, Batch   1182, Loss  0.845969, Average Loss  0.837185, Time  0.237630
2021-09-16 21:25:01.021678 : Epoch  9, Batch   1183, Loss  0.840689, Average Loss  0.837203, Time  0.237633
2021-09-16 21:25:03.586876 : Epoch  9, Batch   1184, Loss  0.837236, Average Loss  0.837134, Time  0.238551
2021-09-16 21:25:06.150898 : Epoch  9, Batch   1185, Loss  0.825677, Average Loss  0.837155, Time  0.237766
2021-09-16 21:25:08.709740 : Epoch  9, Batch   1186, Loss  0.845774, Average Loss  0.837355, Time  0.237807
2021-09-16 21:25:11.279029 : Epoch  9, Batch   1187, Loss  0.827156, Average Loss  0.837399, Time  0.237699
2021-09-16 21:25:13.834009 : Epoch  9, Batch   1188, Loss  0.830914, Average Loss  0.837487, Time  0.238125
2021-09-16 21:25:16.390030 : Epoch  9, Batch   1189, Loss  0.832280, Average Loss  0.837550, Time  0.237364
2021-09-16 21:25:18.953178 : Epoch  9, Batch   1190, Loss  0.826048, Average Loss  0.837525, Time  0.237631
2021-09-16 21:25:21.509997 : Epoch  9, Batch   1191, Loss  0.856284, Average Loss  0.837706, Time  0.237805
2021-09-16 21:25:24.070951 : Epoch  9, Batch   1192, Loss  0.843200, Average Loss  0.837727, Time  0.238757
2021-09-16 21:25:26.622243 : Epoch  9, Batch   1193, Loss  0.843900, Average Loss  0.837723, Time  0.237540
2021-09-16 21:25:29.185932 : Epoch  9, Batch   1194, Loss  0.829787, Average Loss  0.837637, Time  0.237664
2021-09-16 21:25:31.751003 : Epoch  9, Batch   1195, Loss  0.834526, Average Loss  0.837685, Time  0.237855
2021-09-16 21:25:34.318324 : Epoch  9, Batch   1196, Loss  0.852898, Average Loss  0.837736, Time  0.238101
2021-09-16 21:25:36.878989 : Epoch  9, Batch   1197, Loss  0.808405, Average Loss  0.837604, Time  0.237342
2021-09-16 21:25:39.430209 : Epoch  9, Batch   1198, Loss  0.806291, Average Loss  0.837365, Time  0.237756
2021-09-16 21:25:41.984831 : Epoch  9, Batch   1199, Loss  0.849821, Average Loss  0.837428, Time  0.237689
2021-09-16 21:25:44.545726 : Epoch  9, Batch   1200, Loss  0.836218, Average Loss  0.837478, Time  0.237665
2021-09-16 21:25:47.097275 : Epoch  9, Batch   1201, Loss  0.849406, Average Loss  0.837524, Time  0.237443
2021-09-16 21:25:49.661205 : Epoch  9, Batch   1202, Loss  0.865024, Average Loss  0.837605, Time  0.237518
2021-09-16 21:25:52.222126 : Epoch  9, Batch   1203, Loss  0.835979, Average Loss  0.837545, Time  0.237337
2021-09-16 21:25:54.787113 : Epoch  9, Batch   1204, Loss  0.821842, Average Loss  0.837335, Time  0.237549
2021-09-16 21:25:57.336969 : Epoch  9, Batch   1205, Loss  0.830117, Average Loss  0.837372, Time  0.237520
2021-09-16 21:25:59.918681 : Epoch  9, Batch   1206, Loss  0.842180, Average Loss  0.837372, Time  0.237846
2021-09-16 21:26:02.474734 : Epoch  9, Batch   1207, Loss  0.821177, Average Loss  0.837263, Time  0.237325
2021-09-16 21:26:05.040383 : Epoch  9, Batch   1208, Loss  0.824355, Average Loss  0.837148, Time  0.237885
2021-09-16 21:26:07.598978 : Epoch  9, Batch   1209, Loss  0.845518, Average Loss  0.837210, Time  0.237884
2021-09-16 21:26:10.150913 : Epoch  9, Batch   1210, Loss  0.842617, Average Loss  0.837245, Time  0.237556
2021-09-16 21:26:12.698207 : Epoch  9, Batch   1211, Loss  0.835885, Average Loss  0.837201, Time  0.237576
2021-09-16 21:26:15.253696 : Epoch  9, Batch   1212, Loss  0.827940, Average Loss  0.837274, Time  0.237505
2021-09-16 21:26:17.831176 : Epoch  9, Batch   1213, Loss  0.820800, Average Loss  0.837143, Time  0.237441
2021-09-16 21:26:20.391692 : Epoch  9, Batch   1214, Loss  0.833936, Average Loss  0.837137, Time  0.237587
2021-09-16 21:26:22.947977 : Epoch  9, Batch   1215, Loss  0.805075, Average Loss  0.836996, Time  0.237840
2021-09-16 21:26:25.500962 : Epoch  9, Batch   1216, Loss  0.853934, Average Loss  0.836982, Time  0.237670
2021-09-16 21:26:28.065255 : Epoch  9, Batch   1217, Loss  0.871625, Average Loss  0.837125, Time  0.237762
2021-09-16 21:26:30.615679 : Epoch  9, Batch   1218, Loss  0.825331, Average Loss  0.837128, Time  0.237548
2021-09-16 21:26:33.181419 : Epoch  9, Batch   1219, Loss  0.837315, Average Loss  0.837152, Time  0.237451
2021-09-16 21:26:35.744809 : Epoch  9, Batch   1220, Loss  0.839352, Average Loss  0.837196, Time  0.237770
2021-09-16 21:26:38.299954 : Epoch  9, Batch   1221, Loss  0.815968, Average Loss  0.837117, Time  0.237724
2021-09-16 21:26:40.848012 : Epoch  9, Batch   1222, Loss  0.837229, Average Loss  0.837003, Time  0.238175
2021-09-16 21:26:43.399005 : Epoch  9, Batch   1223, Loss  0.838693, Average Loss  0.837024, Time  0.237929
2021-09-16 21:26:45.965714 : Epoch  9, Batch   1224, Loss  0.841861, Average Loss  0.837079, Time  0.237585
2021-09-16 21:26:48.520922 : Epoch  9, Batch   1225, Loss  0.860653, Average Loss  0.837264, Time  0.237693
2021-09-16 21:26:51.078908 : Epoch  9, Batch   1226, Loss  0.835548, Average Loss  0.837353, Time  0.237577
2021-09-16 21:26:53.631235 : Epoch  9, Batch   1227, Loss  0.826680, Average Loss  0.837291, Time  0.237748
2021-09-16 21:26:56.190935 : Epoch  9, Batch   1228, Loss  0.815643, Average Loss  0.837146, Time  0.237309
2021-09-16 21:26:58.741961 : Epoch  9, Batch   1229, Loss  0.843364, Average Loss  0.837163, Time  0.237408
2021-09-16 21:27:01.288669 : Epoch  9, Batch   1230, Loss  0.848806, Average Loss  0.837183, Time  0.237711
2021-09-16 21:27:03.838188 : Epoch  9, Batch   1231, Loss  0.854230, Average Loss  0.837261, Time  0.237477
2021-09-16 21:27:06.389777 : Epoch  9, Batch   1232, Loss  0.839350, Average Loss  0.837236, Time  0.238236
2021-09-16 21:27:08.947675 : Epoch  9, Batch   1233, Loss  0.833133, Average Loss  0.837154, Time  0.237617
2021-09-16 21:27:11.498288 : Epoch  9, Batch   1234, Loss  0.833490, Average Loss  0.837202, Time  0.237686
2021-09-16 21:27:14.060923 : Epoch  9, Batch   1235, Loss  0.815362, Average Loss  0.837085, Time  0.238168
2021-09-16 21:27:16.616056 : Epoch  9, Batch   1236, Loss  0.831503, Average Loss  0.837064, Time  0.237898
2021-09-16 21:27:19.189204 : Epoch  9, Batch   1237, Loss  0.871895, Average Loss  0.837181, Time  0.237389
2021-09-16 21:27:21.748728 : Epoch  9, Batch   1238, Loss  0.841635, Average Loss  0.837067, Time  0.238980
2021-09-16 21:27:24.327353 : Epoch  9, Batch   1239, Loss  0.855067, Average Loss  0.837054, Time  0.237434
2021-09-16 21:27:26.934120 : Epoch  9, Batch   1240, Loss  0.849668, Average Loss  0.837242, Time  0.237417
2021-09-16 21:27:29.482966 : Epoch  9, Batch   1241, Loss  0.844471, Average Loss  0.837278, Time  0.237459
2021-09-16 21:27:32.045716 : Epoch  9, Batch   1242, Loss  0.843193, Average Loss  0.837357, Time  0.239326
2021-09-16 21:27:34.603383 : Epoch  9, Batch   1243, Loss  0.835069, Average Loss  0.837308, Time  0.237641
2021-09-16 21:27:37.177905 : Epoch  9, Batch   1244, Loss  0.840236, Average Loss  0.837242, Time  0.238662
2021-09-16 21:27:39.741692 : Epoch  9, Batch   1245, Loss  0.850563, Average Loss  0.837299, Time  0.237771
2021-09-16 21:27:42.289935 : Epoch  9, Batch   1246, Loss  0.817066, Average Loss  0.837295, Time  0.237701
2021-09-16 21:27:44.846772 : Epoch  9, Batch   1247, Loss  0.809033, Average Loss  0.837112, Time  0.238632
2021-09-16 21:27:47.403709 : Epoch  9, Batch   1248, Loss  0.838028, Average Loss  0.837115, Time  0.237440
2021-09-16 21:27:49.964070 : Epoch  9, Batch   1249, Loss  0.843732, Average Loss  0.837297, Time  0.237952
2021-09-16 21:27:52.514696 : Epoch  9, Batch   1250, Loss  0.844948, Average Loss  0.837344, Time  0.237859
2021-09-16 21:27:55.071962 : Epoch  9, Batch   1251, Loss  0.850985, Average Loss  0.837476, Time  0.237480
2021-09-16 21:27:57.624952 : Epoch  9, Batch   1252, Loss  0.829021, Average Loss  0.837416, Time  0.237427
2021-09-16 21:31:53.301714 : CheckPoint: Validation Loss  0.00028305, Best Loss  0.00028305
2021-09-16 21:31:53.366566 : Best Model Updated
2021-09-16 21:31:56.925010 : Epoch  9, Batch   1253, Loss  0.828189, Average Loss  0.837254, Time  0.268128
2021-09-16 21:31:59.511767 : Epoch  9, Batch   1254, Loss  0.843177, Average Loss  0.837327, Time  0.244618
2021-09-16 21:32:02.092771 : Epoch  9, Batch   1255, Loss  0.830039, Average Loss  0.837303, Time  0.237385
2021-09-16 21:32:04.667236 : Epoch  9, Batch   1256, Loss  0.820258, Average Loss  0.837265, Time  0.237685
2021-09-16 21:32:07.239940 : Epoch  9, Batch   1257, Loss  0.832125, Average Loss  0.837166, Time  0.237469
2021-09-16 21:32:09.810895 : Epoch  9, Batch   1258, Loss  0.822935, Average Loss  0.837140, Time  0.237349
2021-09-16 21:32:12.384890 : Epoch  9, Batch   1259, Loss  0.843631, Average Loss  0.837196, Time  0.237695
2021-09-16 21:32:14.957069 : Epoch  9, Batch   1260, Loss  0.846948, Average Loss  0.837220, Time  0.237478
2021-09-16 21:32:17.528738 : Epoch  9, Batch   1261, Loss  0.830397, Average Loss  0.837196, Time  0.237948
2021-09-16 21:32:20.121274 : Epoch  9, Batch   1262, Loss  0.842653, Average Loss  0.837177, Time  0.237631
2021-09-16 21:32:22.712960 : Epoch  9, Batch   1263, Loss  0.816304, Average Loss  0.837176, Time  0.237846
2021-09-16 21:32:25.282849 : Epoch  9, Batch   1264, Loss  0.832303, Average Loss  0.837244, Time  0.237829
2021-09-16 21:32:27.859978 : Epoch  9, Batch   1265, Loss  0.849192, Average Loss  0.837338, Time  0.237564
2021-09-16 21:32:30.460719 : Epoch  9, Batch   1266, Loss  0.849682, Average Loss  0.837401, Time  0.237612
2021-09-16 21:32:33.024869 : Epoch  9, Batch   1267, Loss  0.840431, Average Loss  0.837309, Time  0.237686
2021-09-16 21:32:35.600969 : Epoch  9, Batch   1268, Loss  0.859063, Average Loss  0.837425, Time  0.237486
2021-09-16 21:32:38.158456 : Epoch  9, Batch   1269, Loss  0.836622, Average Loss  0.837442, Time  0.237554
2021-09-16 21:32:40.753967 : Epoch  9, Batch   1270, Loss  0.838972, Average Loss  0.837490, Time  0.237883
2021-09-16 21:32:43.312759 : Epoch  9, Batch   1271, Loss  0.808991, Average Loss  0.837337, Time  0.237793
2021-09-16 21:32:45.878233 : Epoch  9, Batch   1272, Loss  0.828175, Average Loss  0.837297, Time  0.237479
2021-09-16 21:32:48.446271 : Epoch  9, Batch   1273, Loss  0.842691, Average Loss  0.837383, Time  0.238630
2021-09-16 21:32:51.012899 : Epoch  9, Batch   1274, Loss  0.864389, Average Loss  0.837589, Time  0.237909
2021-09-16 21:32:53.592743 : Epoch  9, Batch   1275, Loss  0.817455, Average Loss  0.837419, Time  0.237637
2021-09-16 21:32:56.157715 : Epoch  9, Batch   1276, Loss  0.840411, Average Loss  0.837564, Time  0.237971
2021-09-16 21:32:58.727751 : Epoch  9, Batch   1277, Loss  0.809691, Average Loss  0.837364, Time  0.237612
2021-09-16 21:33:01.314461 : Epoch  9, Batch   1278, Loss  0.831808, Average Loss  0.837318, Time  0.237885
2021-09-16 21:33:03.885051 : Epoch  9, Batch   1279, Loss  0.852546, Average Loss  0.837421, Time  0.237583
2021-09-16 21:33:06.461717 : Epoch  9, Batch   1280, Loss  0.838402, Average Loss  0.837555, Time  0.237751
2021-09-16 21:33:09.027038 : Epoch  9, Batch   1281, Loss  0.817911, Average Loss  0.837363, Time  0.237737
2021-09-16 21:33:11.591277 : Epoch  9, Batch   1282, Loss  0.841026, Average Loss  0.837366, Time  0.238699
2021-09-16 21:33:14.155989 : Epoch  9, Batch   1283, Loss  0.840369, Average Loss  0.837462, Time  0.237767
2021-09-16 21:33:16.726595 : Epoch  9, Batch   1284, Loss  0.839115, Average Loss  0.837460, Time  0.238019
2021-09-16 21:33:19.298912 : Epoch  9, Batch   1285, Loss  0.847654, Average Loss  0.837556, Time  0.240344
2021-09-16 21:33:21.866234 : Epoch  9, Batch   1286, Loss  0.812885, Average Loss  0.837469, Time  0.237694
2021-09-16 21:33:24.451952 : Epoch  9, Batch   1287, Loss  0.849024, Average Loss  0.837480, Time  0.237683
2021-09-16 21:33:27.026727 : Epoch  9, Batch   1288, Loss  0.852287, Average Loss  0.837645, Time  0.238058
2021-09-16 21:33:29.595022 : Epoch  9, Batch   1289, Loss  0.862953, Average Loss  0.837738, Time  0.237460
2021-09-16 21:33:32.169933 : Epoch  9, Batch   1290, Loss  0.842095, Average Loss  0.837768, Time  0.237348
2021-09-16 21:33:34.736003 : Epoch  9, Batch   1291, Loss  0.860510, Average Loss  0.837930, Time  0.237438
2021-09-16 21:33:37.301283 : Epoch  9, Batch   1292, Loss  0.844109, Average Loss  0.837949, Time  0.237755
2021-09-16 21:33:39.866002 : Epoch  9, Batch   1293, Loss  0.827053, Average Loss  0.837977, Time  0.238106
2021-09-16 21:33:42.434273 : Epoch  9, Batch   1294, Loss  0.859772, Average Loss  0.838000, Time  0.238264
2021-09-16 21:33:44.994795 : Epoch  9, Batch   1295, Loss  0.831704, Average Loss  0.838044, Time  0.237600
2021-09-16 21:33:47.560977 : Epoch  9, Batch   1296, Loss  0.844547, Average Loss  0.838126, Time  0.237653
2021-09-16 21:33:50.126682 : Epoch  9, Batch   1297, Loss  0.832048, Average Loss  0.838074, Time  0.237939
2021-09-16 21:33:52.696125 : Epoch  9, Batch   1298, Loss  0.821433, Average Loss  0.838041, Time  0.237652
2021-09-16 21:33:55.267701 : Epoch  9, Batch   1299, Loss  0.820496, Average Loss  0.837950, Time  0.237559
2021-09-16 21:33:57.837120 : Epoch  9, Batch   1300, Loss  0.835272, Average Loss  0.837873, Time  0.237431
2021-09-16 21:34:00.407113 : Epoch  9, Batch   1301, Loss  0.820304, Average Loss  0.837768, Time  0.237911
2021-09-16 21:34:02.974927 : Epoch  9, Batch   1302, Loss  0.843594, Average Loss  0.837789, Time  0.237478
2021-09-16 21:34:05.544727 : Epoch  9, Batch   1303, Loss  0.812357, Average Loss  0.837656, Time  0.237616
2021-09-16 21:34:08.118219 : Epoch  9, Batch   1304, Loss  0.828583, Average Loss  0.837761, Time  0.237491
2021-09-16 21:34:10.678186 : Epoch  9, Batch   1305, Loss  0.855546, Average Loss  0.837824, Time  0.237862
2021-09-16 21:34:13.240287 : Epoch  9, Batch   1306, Loss  0.856717, Average Loss  0.838006, Time  0.237274
2021-09-16 21:34:15.827914 : Epoch  9, Batch   1307, Loss  0.825610, Average Loss  0.837917, Time  0.238288
2021-09-16 21:34:18.395975 : Epoch  9, Batch   1308, Loss  0.827319, Average Loss  0.837875, Time  0.238140
2021-09-16 21:34:20.976930 : Epoch  9, Batch   1309, Loss  0.848159, Average Loss  0.837942, Time  0.237763
2021-09-16 21:34:23.548306 : Epoch  9, Batch   1310, Loss  0.844873, Average Loss  0.837977, Time  0.237638
2021-09-16 21:34:26.115993 : Epoch  9, Batch   1311, Loss  0.855977, Average Loss  0.837981, Time  0.237640
2021-09-16 21:34:28.687971 : Epoch  9, Batch   1312, Loss  0.833890, Average Loss  0.838063, Time  0.237637
2021-09-16 21:34:31.259253 : Epoch  9, Batch   1313, Loss  0.853745, Average Loss  0.838051, Time  0.237808
2021-09-16 21:34:33.820662 : Epoch  9, Batch   1314, Loss  0.821628, Average Loss  0.837969, Time  0.237624
2021-09-16 21:34:36.383093 : Epoch  9, Batch   1315, Loss  0.822016, Average Loss  0.837801, Time  0.237677
2021-09-16 21:34:38.949683 : Epoch  9, Batch   1316, Loss  0.834809, Average Loss  0.837760, Time  0.237711
2021-09-16 21:34:41.513265 : Epoch  9, Batch   1317, Loss  0.852869, Average Loss  0.837843, Time  0.238137
2021-09-16 21:34:44.074125 : Epoch  9, Batch   1318, Loss  0.845836, Average Loss  0.837879, Time  0.237673
2021-09-16 21:34:46.642231 : Epoch  9, Batch   1319, Loss  0.827512, Average Loss  0.837731, Time  0.237653
2021-09-16 21:34:49.204221 : Epoch  9, Batch   1320, Loss  0.822968, Average Loss  0.837623, Time  0.237445
2021-09-16 21:34:51.777250 : Epoch  9, Batch   1321, Loss  0.824063, Average Loss  0.837499, Time  0.237937
2021-09-16 21:34:54.346023 : Epoch  9, Batch   1322, Loss  0.831349, Average Loss  0.837391, Time  0.238415
2021-09-16 21:34:56.918798 : Epoch  9, Batch   1323, Loss  0.846409, Average Loss  0.837332, Time  0.237999
2021-09-16 21:34:59.487036 : Epoch  9, Batch   1324, Loss  0.820407, Average Loss  0.837222, Time  0.237449
2021-09-16 21:35:02.065684 : Epoch  9, Batch   1325, Loss  0.827204, Average Loss  0.837159, Time  0.237916
2021-09-16 21:35:04.649789 : Epoch  9, Batch   1326, Loss  0.829921, Average Loss  0.837077, Time  0.237446
2021-09-16 21:35:07.232232 : Epoch  9, Batch   1327, Loss  0.828303, Average Loss  0.836945, Time  0.237411
2021-09-16 21:35:09.791032 : Epoch  9, Batch   1328, Loss  0.834789, Average Loss  0.836953, Time  0.237572
2021-09-16 21:35:12.372059 : Epoch  9, Batch   1329, Loss  0.827003, Average Loss  0.836930, Time  0.237618
2021-09-16 21:35:14.934678 : Epoch  9, Batch   1330, Loss  0.851806, Average Loss  0.837026, Time  0.237424
2021-09-16 21:35:17.495917 : Epoch  9, Batch   1331, Loss  0.856181, Average Loss  0.837125, Time  0.237851
2021-09-16 21:35:20.061216 : Epoch  9, Batch   1332, Loss  0.833711, Average Loss  0.837112, Time  0.237550
2021-09-16 21:35:22.623243 : Epoch  9, Batch   1333, Loss  0.841901, Average Loss  0.837267, Time  0.237439
2021-09-16 21:35:25.217211 : Epoch  9, Batch   1334, Loss  0.835818, Average Loss  0.837254, Time  0.237386
2021-09-16 21:35:27.777716 : Epoch  9, Batch   1335, Loss  0.838526, Average Loss  0.837325, Time  0.237564
2021-09-16 21:35:30.345502 : Epoch  9, Batch   1336, Loss  0.843752, Average Loss  0.837389, Time  0.237392
2021-09-16 21:35:32.909903 : Epoch  9, Batch   1337, Loss  0.847657, Average Loss  0.837548, Time  0.237315
2021-09-16 21:35:35.475207 : Epoch  9, Batch   1338, Loss  0.814503, Average Loss  0.837514, Time  0.238141
2021-09-16 21:35:38.071987 : Epoch  9, Batch   1339, Loss  0.832075, Average Loss  0.837425, Time  0.251902
2021-09-16 21:35:40.630007 : Epoch  9, Batch   1340, Loss  0.825073, Average Loss  0.837365, Time  0.237683
2021-09-16 21:35:43.195996 : Epoch  9, Batch   1341, Loss  0.818938, Average Loss  0.837262, Time  0.238008
2021-09-16 21:35:45.761731 : Epoch  9, Batch   1342, Loss  0.818297, Average Loss  0.837224, Time  0.237975
2021-09-16 21:35:48.333108 : Epoch  9, Batch   1343, Loss  0.816609, Average Loss  0.837085, Time  0.237848
2021-09-16 21:35:50.898924 : Epoch  9, Batch   1344, Loss  0.841635, Average Loss  0.837185, Time  0.237834
2021-09-16 21:35:53.469998 : Epoch  9, Batch   1345, Loss  0.834112, Average Loss  0.837245, Time  0.237463
2021-09-16 21:35:56.048922 : Epoch  9, Batch   1346, Loss  0.825462, Average Loss  0.837242, Time  0.237385
2021-09-16 21:35:58.640771 : Epoch  9, Batch   1347, Loss  0.819899, Average Loss  0.837102, Time  0.237602
2021-09-16 21:36:01.203994 : Epoch  9, Batch   1348, Loss  0.851578, Average Loss  0.837111, Time  0.237514
2021-09-16 21:36:03.771021 : Epoch  9, Batch   1349, Loss  0.809870, Average Loss  0.837086, Time  0.237686
2021-09-16 21:36:06.339909 : Epoch  9, Batch   1350, Loss  0.838547, Average Loss  0.837119, Time  0.237354
2021-09-16 21:36:08.913043 : Epoch  9, Batch   1351, Loss  0.817786, Average Loss  0.836942, Time  0.237964
2021-09-16 21:36:11.477701 : Epoch  9, Batch   1352, Loss  0.809194, Average Loss  0.836872, Time  0.237689
2021-09-16 21:40:06.352678 : CheckPoint: Validation Loss  0.00029503, Best Loss  0.00028305
2021-09-16 21:40:08.898706 : Epoch  9, Batch   1353, Loss  0.854091, Average Loss  0.836973, Time  0.237711
2021-09-16 21:40:11.459738 : Epoch  9, Batch   1354, Loss  0.830056, Average Loss  0.836958, Time  0.237772
2021-09-16 21:40:14.031681 : Epoch  9, Batch   1355, Loss  0.853645, Average Loss  0.836967, Time  0.237821
2021-09-16 21:40:16.588044 : Epoch  9, Batch   1356, Loss  0.831052, Average Loss  0.837007, Time  0.237741
2021-09-16 21:40:19.155106 : Epoch  9, Batch   1357, Loss  0.829930, Average Loss  0.836910, Time  0.238556
2021-09-16 21:40:21.703728 : Epoch  9, Batch   1358, Loss  0.834728, Average Loss  0.836853, Time  0.237967
2021-09-16 21:40:24.254697 : Epoch  9, Batch   1359, Loss  0.854939, Average Loss  0.836873, Time  0.237610
2021-09-16 21:40:26.841517 : Epoch  9, Batch   1360, Loss  0.829954, Average Loss  0.836683, Time  0.243727
2021-09-16 21:40:29.393770 : Epoch  9, Batch   1361, Loss  0.859380, Average Loss  0.836769, Time  0.237801
2021-09-16 21:40:31.947841 : Epoch  9, Batch   1362, Loss  0.842421, Average Loss  0.836794, Time  0.238028
2021-09-16 21:40:34.499742 : Epoch  9, Batch   1363, Loss  0.848456, Average Loss  0.836816, Time  0.237686
2021-09-16 21:40:37.056392 : Epoch  9, Batch   1364, Loss  0.838834, Average Loss  0.836823, Time  0.237661
2021-09-16 21:40:39.609930 : Epoch  9, Batch   1365, Loss  0.824813, Average Loss  0.836791, Time  0.237669
2021-09-16 21:40:42.163912 : Epoch  9, Batch   1366, Loss  0.832933, Average Loss  0.836683, Time  0.237271
2021-09-16 21:40:44.711916 : Epoch  9, Batch   1367, Loss  0.835626, Average Loss  0.836634, Time  0.238590
2021-09-16 21:40:47.272960 : Epoch  9, Batch   1368, Loss  0.839539, Average Loss  0.836800, Time  0.237493
2021-09-16 21:40:49.823722 : Epoch  9, Batch   1369, Loss  0.818866, Average Loss  0.836756, Time  0.237487
2021-09-16 21:40:52.380730 : Epoch  9, Batch   1370, Loss  0.856971, Average Loss  0.836748, Time  0.237346
2021-09-16 21:40:54.935216 : Epoch  9, Batch   1371, Loss  0.819308, Average Loss  0.836587, Time  0.237882
2021-09-16 21:40:57.497735 : Epoch  9, Batch   1372, Loss  0.841126, Average Loss  0.836513, Time  0.237760
2021-09-16 21:41:00.049997 : Epoch  9, Batch   1373, Loss  0.820486, Average Loss  0.836394, Time  0.237607
2021-09-16 21:41:02.876932 : Epoch  9, Batch   1374, Loss  0.838473, Average Loss  0.836509, Time  0.268235
2021-09-16 21:41:05.440942 : Epoch  9, Batch   1375, Loss  0.817736, Average Loss  0.836303, Time  0.254157
2021-09-16 21:41:08.000002 : Epoch  9, Batch   1376, Loss  0.824340, Average Loss  0.836259, Time  0.238039
2021-09-16 21:41:10.566706 : Epoch  9, Batch   1377, Loss  0.841778, Average Loss  0.836275, Time  0.237215
2021-09-16 21:41:13.123669 : Epoch  9, Batch   1378, Loss  0.843605, Average Loss  0.836224, Time  0.237801
2021-09-16 21:41:15.681934 : Epoch  9, Batch   1379, Loss  0.835198, Average Loss  0.836166, Time  0.237590
2021-09-16 21:41:18.228948 : Epoch  9, Batch   1380, Loss  0.843442, Average Loss  0.836180, Time  0.238015
2021-09-16 21:41:20.789976 : Epoch  9, Batch   1381, Loss  0.833608, Average Loss  0.836102, Time  0.238450
2021-09-16 21:41:23.344685 : Epoch  9, Batch   1382, Loss  0.852500, Average Loss  0.836135, Time  0.237726
2021-09-16 21:41:25.894156 : Epoch  9, Batch   1383, Loss  0.852900, Average Loss  0.836196, Time  0.237375
2021-09-16 21:41:28.448675 : Epoch  9, Batch   1384, Loss  0.834851, Average Loss  0.836184, Time  0.237528
2021-09-16 21:41:30.994729 : Epoch  9, Batch   1385, Loss  0.839903, Average Loss  0.836255, Time  0.237340
2021-09-16 21:41:33.544901 : Epoch  9, Batch   1386, Loss  0.838795, Average Loss  0.836220, Time  0.237883
2021-09-16 21:41:36.100891 : Epoch  9, Batch   1387, Loss  0.830926, Average Loss  0.836239, Time  0.237691
2021-09-16 21:41:38.656857 : Epoch  9, Batch   1388, Loss  0.839075, Average Loss  0.836280, Time  0.237424
2021-09-16 21:41:41.216969 : Epoch  9, Batch   1389, Loss  0.832468, Average Loss  0.836280, Time  0.237590
2021-09-16 21:41:43.768929 : Epoch  9, Batch   1390, Loss  0.830086, Average Loss  0.836301, Time  0.237544
2021-09-16 21:41:46.323928 : Epoch  9, Batch   1391, Loss  0.820326, Average Loss  0.836121, Time  0.237452
2021-09-16 21:41:48.867918 : Epoch  9, Batch   1392, Loss  0.821478, Average Loss  0.836012, Time  0.237991
2021-09-16 21:41:51.425147 : Epoch  9, Batch   1393, Loss  0.826226, Average Loss  0.835924, Time  0.237606
2021-09-16 21:41:53.983829 : Epoch  9, Batch   1394, Loss  0.834860, Average Loss  0.835949, Time  0.237677
2021-09-16 21:41:56.540857 : Epoch  9, Batch   1395, Loss  0.833875, Average Loss  0.835946, Time  0.237315
2021-09-16 21:41:59.100092 : Epoch  9, Batch   1396, Loss  0.830025, Average Loss  0.835832, Time  0.237514
2021-09-16 21:42:01.654108 : Epoch  9, Batch   1397, Loss  0.840349, Average Loss  0.835991, Time  0.237765
2021-09-16 21:42:04.217930 : Epoch  9, Batch   1398, Loss  0.840353, Average Loss  0.836162, Time  0.237502
2021-09-16 21:42:06.773975 : Epoch  9, Batch   1399, Loss  0.835956, Average Loss  0.836092, Time  0.237515
2021-09-16 21:42:09.322974 : Epoch  9, Batch   1400, Loss  0.816533, Average Loss  0.835994, Time  0.237610
2021-09-16 21:42:11.877482 : Epoch  9, Batch   1401, Loss  0.843343, Average Loss  0.835964, Time  0.237627
2021-09-16 21:42:14.439906 : Epoch  9, Batch   1402, Loss  0.804458, Average Loss  0.835661, Time  0.237844
2021-09-16 21:42:17.001011 : Epoch  9, Batch   1403, Loss  0.839004, Average Loss  0.835676, Time  0.237465
2021-09-16 21:42:19.556265 : Epoch  9, Batch   1404, Loss  0.855449, Average Loss  0.835844, Time  0.237924
2021-09-16 21:42:22.108384 : Epoch  9, Batch   1405, Loss  0.812201, Average Loss  0.835754, Time  0.237504
2021-09-16 21:42:24.656895 : Epoch  9, Batch   1406, Loss  0.847991, Average Loss  0.835783, Time  0.237490
2021-09-16 21:42:27.198923 : Epoch  9, Batch   1407, Loss  0.830821, Average Loss  0.835832, Time  0.237787
2021-09-16 21:42:29.759687 : Epoch  9, Batch   1408, Loss  0.815581, Average Loss  0.835788, Time  0.238055
2021-09-16 21:42:32.321985 : Epoch  9, Batch   1409, Loss  0.829743, Average Loss  0.835709, Time  0.237538
2021-09-16 21:42:34.874910 : Epoch  9, Batch   1410, Loss  0.830388, Average Loss  0.835648, Time  0.237731
2021-09-16 21:42:37.439742 : Epoch  9, Batch   1411, Loss  0.833286, Average Loss  0.835635, Time  0.237597
2021-09-16 21:42:39.994868 : Epoch  9, Batch   1412, Loss  0.823103, Average Loss  0.835611, Time  0.237603
2021-09-16 21:42:42.547100 : Epoch  9, Batch   1413, Loss  0.836493, Average Loss  0.835689, Time  0.238651
2021-09-16 21:42:45.103848 : Epoch  9, Batch   1414, Loss  0.830553, Average Loss  0.835672, Time  0.237340
2021-09-16 21:42:47.654951 : Epoch  9, Batch   1415, Loss  0.850900, Average Loss  0.835901, Time  0.237390
2021-09-16 21:42:50.207085 : Epoch  9, Batch   1416, Loss  0.847575, Average Loss  0.835869, Time  0.237890
2021-09-16 21:42:52.785102 : Epoch  9, Batch   1417, Loss  0.848814, Average Loss  0.835755, Time  0.237576
2021-09-16 21:42:55.332861 : Epoch  9, Batch   1418, Loss  0.837280, Average Loss  0.835815, Time  0.237487
2021-09-16 21:42:57.886888 : Epoch  9, Batch   1419, Loss  0.829084, Average Loss  0.835774, Time  0.237819
2021-09-16 21:43:00.438703 : Epoch  9, Batch   1420, Loss  0.824194, Average Loss  0.835698, Time  0.237899
2021-09-16 21:43:03.005206 : Epoch  9, Batch   1421, Loss  0.853011, Average Loss  0.835883, Time  0.237779
2021-09-16 21:43:05.550933 : Epoch  9, Batch   1422, Loss  0.838376, Average Loss  0.835889, Time  0.238948
2021-09-16 21:43:08.100025 : Epoch  9, Batch   1423, Loss  0.812747, Average Loss  0.835759, Time  0.237740
2021-09-16 21:43:10.646768 : Epoch  9, Batch   1424, Loss  0.842614, Average Loss  0.835763, Time  0.237661
2021-09-16 21:43:13.212943 : Epoch  9, Batch   1425, Loss  0.835643, Average Loss  0.835638, Time  0.237805
2021-09-16 21:43:15.764681 : Epoch  9, Batch   1426, Loss  0.846166, Average Loss  0.835691, Time  0.237427
2021-09-16 21:43:18.399972 : Epoch  9, Batch   1427, Loss  0.818195, Average Loss  0.835649, Time  0.238610
2021-09-16 21:43:20.964063 : Epoch  9, Batch   1428, Loss  0.852281, Average Loss  0.835832, Time  0.238488
2021-09-16 21:43:23.522719 : Epoch  9, Batch   1429, Loss  0.840383, Average Loss  0.835817, Time  0.238580
2021-09-16 21:43:26.083008 : Epoch  9, Batch   1430, Loss  0.820106, Average Loss  0.835674, Time  0.237964
2021-09-16 21:43:28.641974 : Epoch  9, Batch   1431, Loss  0.828195, Average Loss  0.835543, Time  0.237440
2021-09-16 21:43:31.200336 : Epoch  9, Batch   1432, Loss  0.852520, Average Loss  0.835609, Time  0.237878
2021-09-16 21:43:33.750014 : Epoch  9, Batch   1433, Loss  0.843947, Average Loss  0.835663, Time  0.237527
2021-09-16 21:43:36.304946 : Epoch  9, Batch   1434, Loss  0.825524, Average Loss  0.835623, Time  0.237646
2021-09-16 21:43:38.861732 : Epoch  9, Batch   1435, Loss  0.854230, Average Loss  0.835818, Time  0.237268
2021-09-16 21:43:41.414690 : Epoch  9, Batch   1436, Loss  0.824496, Average Loss  0.835783, Time  0.238016
2021-09-16 21:43:43.970727 : Epoch  9, Batch   1437, Loss  0.825733, Average Loss  0.835552, Time  0.237347
2021-09-16 21:43:46.523997 : Epoch  9, Batch   1438, Loss  0.844343, Average Loss  0.835566, Time  0.237386
2021-09-16 21:43:49.075690 : Epoch  9, Batch   1439, Loss  0.838430, Average Loss  0.835482, Time  0.237669
2021-09-16 21:43:51.623952 : Epoch  9, Batch   1440, Loss  0.845095, Average Loss  0.835459, Time  0.237711
2021-09-16 21:43:54.177327 : Epoch  9, Batch   1441, Loss  0.822728, Average Loss  0.835351, Time  0.237787
2021-09-16 21:43:56.731188 : Epoch  9, Batch   1442, Loss  0.838124, Average Loss  0.835325, Time  0.237533
2021-09-16 21:43:59.287070 : Epoch  9, Batch   1443, Loss  0.828870, Average Loss  0.835294, Time  0.237700
2021-09-16 21:44:01.845550 : Epoch  9, Batch   1444, Loss  0.833771, Average Loss  0.835262, Time  0.237430
2021-09-16 21:44:04.399187 : Epoch  9, Batch   1445, Loss  0.846649, Average Loss  0.835243, Time  0.237651
2021-09-16 21:44:06.944299 : Epoch  9, Batch   1446, Loss  0.826629, Average Loss  0.835290, Time  0.237838
2021-09-16 21:44:09.487963 : Epoch  9, Batch   1447, Loss  0.861880, Average Loss  0.835555, Time  0.237566
2021-09-16 21:44:12.041817 : Epoch  9, Batch   1448, Loss  0.859368, Average Loss  0.835661, Time  0.237434
2021-09-16 21:44:14.596859 : Epoch  9, Batch   1449, Loss  0.817786, Average Loss  0.835532, Time  0.237707
2021-09-16 21:44:17.145910 : Epoch  9, Batch   1450, Loss  0.832258, Average Loss  0.835468, Time  0.237896
2021-09-16 21:44:19.697022 : Epoch  9, Batch   1451, Loss  0.829973, Average Loss  0.835363, Time  0.237383
2021-09-16 21:44:22.256095 : Epoch  9, Batch   1452, Loss  0.840803, Average Loss  0.835422, Time  0.238180
2021-09-16 21:48:17.040673 : CheckPoint: Validation Loss  0.00028930, Best Loss  0.00028305
2021-09-16 21:48:19.581632 : Epoch  9, Batch   1453, Loss  0.834262, Average Loss  0.835452, Time  0.237974
2021-09-16 21:48:22.135920 : Epoch  9, Batch   1454, Loss  0.827093, Average Loss  0.835372, Time  0.237608
2021-09-16 21:48:24.705744 : Epoch  9, Batch   1455, Loss  0.836828, Average Loss  0.835406, Time  0.237358
2021-09-16 21:48:27.265970 : Epoch  9, Batch   1456, Loss  0.828341, Average Loss  0.835446, Time  0.237830
2021-09-16 21:48:29.810997 : Epoch  9, Batch   1457, Loss  0.833050, Average Loss  0.835451, Time  0.237546
2021-09-16 21:48:32.372219 : Epoch  9, Batch   1458, Loss  0.800527, Average Loss  0.835339, Time  0.237602
2021-09-16 21:48:34.931998 : Epoch  9, Batch   1459, Loss  0.844772, Average Loss  0.835345, Time  0.238007
2021-09-16 21:48:37.484688 : Epoch  9, Batch   1460, Loss  0.828187, Average Loss  0.835251, Time  0.237461
2021-09-16 21:48:40.046295 : Epoch  9, Batch   1461, Loss  0.835717, Average Loss  0.835277, Time  0.237875
2021-09-16 21:48:42.610185 : Epoch  9, Batch   1462, Loss  0.826188, Average Loss  0.835195, Time  0.237863
2021-09-16 21:48:45.163781 : Epoch  9, Batch   1463, Loss  0.835253, Average Loss  0.835290, Time  0.237804
2021-09-16 21:48:47.716528 : Epoch  9, Batch   1464, Loss  0.841159, Average Loss  0.835334, Time  0.237552
2021-09-16 21:48:50.304898 : Epoch  9, Batch   1465, Loss  0.816397, Average Loss  0.835170, Time  0.237434
2021-09-16 21:48:52.898053 : Epoch  9, Batch   1466, Loss  0.833142, Average Loss  0.835087, Time  0.238014
2021-09-16 21:48:55.488262 : Epoch  9, Batch   1467, Loss  0.846584, Average Loss  0.835118, Time  0.237672
2021-09-16 21:48:58.071429 : Epoch  9, Batch   1468, Loss  0.840125, Average Loss  0.835023, Time  0.238427
2021-09-16 21:49:00.632684 : Epoch  9, Batch   1469, Loss  0.861114, Average Loss  0.835146, Time  0.237702
2021-09-16 21:49:03.204727 : Epoch  9, Batch   1470, Loss  0.838127, Average Loss  0.835142, Time  0.238089
2021-09-16 21:49:05.768065 : Epoch  9, Batch   1471, Loss  0.827059, Average Loss  0.835232, Time  0.237885
2021-09-16 21:49:08.427681 : Epoch  9, Batch   1472, Loss  0.820655, Average Loss  0.835194, Time  0.237694
2021-09-16 21:49:10.981957 : Epoch  9, Batch   1473, Loss  0.840791, Average Loss  0.835185, Time  0.237509
2021-09-16 21:49:13.536706 : Epoch  9, Batch   1474, Loss  0.827919, Average Loss  0.835003, Time  0.237995
2021-09-16 21:49:16.086216 : Epoch  9, Batch   1475, Loss  0.854387, Average Loss  0.835187, Time  0.237629
2021-09-16 21:49:18.639734 : Epoch  9, Batch   1476, Loss  0.829579, Average Loss  0.835133, Time  0.237594
2021-09-16 21:49:21.187681 : Epoch  9, Batch   1477, Loss  0.846099, Average Loss  0.835315, Time  0.237633
2021-09-16 21:49:23.742072 : Epoch  9, Batch   1478, Loss  0.822225, Average Loss  0.835267, Time  0.237402
2021-09-16 21:49:26.293910 : Epoch  9, Batch   1479, Loss  0.850329, Average Loss  0.835256, Time  0.237327
2021-09-16 21:49:28.850990 : Epoch  9, Batch   1480, Loss  0.836575, Average Loss  0.835247, Time  0.237622
2021-09-16 21:49:31.405765 : Epoch  9, Batch   1481, Loss  0.828488, Average Loss  0.835300, Time  0.237845
2021-09-16 21:49:33.958031 : Epoch  9, Batch   1482, Loss  0.835542, Average Loss  0.835272, Time  0.237439
2021-09-16 21:49:36.544001 : Epoch  9, Batch   1483, Loss  0.840289, Average Loss  0.835272, Time  0.237632
2021-09-16 21:49:39.121764 : Epoch  9, Batch   1484, Loss  0.829321, Average Loss  0.835223, Time  0.237478
2021-09-16 21:49:41.665994 : Epoch  9, Batch   1485, Loss  0.826029, Average Loss  0.835115, Time  0.237521
2021-09-16 21:49:44.214250 : Epoch  9, Batch   1486, Loss  0.830626, Average Loss  0.835204, Time  0.237764
2021-09-16 21:49:46.768761 : Epoch  9, Batch   1487, Loss  0.850452, Average Loss  0.835211, Time  0.237812
2021-09-16 21:49:49.321676 : Epoch  9, Batch   1488, Loss  0.845221, Average Loss  0.835175, Time  0.237921
2021-09-16 21:49:51.873995 : Epoch  9, Batch   1489, Loss  0.849295, Average Loss  0.835107, Time  0.237741
2021-09-16 21:49:54.422952 : Epoch  9, Batch   1490, Loss  0.846780, Average Loss  0.835131, Time  0.237737
2021-09-16 21:49:56.982454 : Epoch  9, Batch   1491, Loss  0.821825, Average Loss  0.834937, Time  0.238584
2021-09-16 21:49:59.533706 : Epoch  9, Batch   1492, Loss  0.853430, Average Loss  0.834984, Time  0.237948
2021-09-16 21:50:02.090881 : Epoch  9, Batch   1493, Loss  0.832362, Average Loss  0.835010, Time  0.238023
2021-09-16 21:50:04.647971 : Epoch  9, Batch   1494, Loss  0.813268, Average Loss  0.834778, Time  0.238682
2021-09-16 21:50:07.204939 : Epoch  9, Batch   1495, Loss  0.838838, Average Loss  0.834813, Time  0.237668
2021-09-16 21:50:09.754073 : Epoch  9, Batch   1496, Loss  0.857195, Average Loss  0.834877, Time  0.238173
2021-09-16 21:50:12.306171 : Epoch  9, Batch   1497, Loss  0.834519, Average Loss  0.834889, Time  0.237273
2021-09-16 21:50:14.863589 : Epoch  9, Batch   1498, Loss  0.856670, Average Loss  0.835065, Time  0.237299
2021-09-16 21:50:17.412354 : Epoch  9, Batch   1499, Loss  0.838805, Average Loss  0.835157, Time  0.237704
2021-09-16 21:50:19.967709 : Epoch  9, Batch   1500, Loss  0.847555, Average Loss  0.835218, Time  0.237280
2021-09-16 21:50:22.526132 : Epoch  9, Batch   1501, Loss  0.862671, Average Loss  0.835430, Time  0.237941
2021-09-16 21:50:25.078830 : Epoch  9, Batch   1502, Loss  0.837514, Average Loss  0.835400, Time  0.237505
2021-09-16 21:50:27.627885 : Epoch  9, Batch   1503, Loss  0.835239, Average Loss  0.835514, Time  0.237926
2021-09-16 21:50:30.184914 : Epoch  9, Batch   1504, Loss  0.834976, Average Loss  0.835546, Time  0.237728
2021-09-16 21:50:32.745093 : Epoch  9, Batch   1505, Loss  0.854973, Average Loss  0.835543, Time  0.237576
2021-09-16 21:50:35.315170 : Epoch  9, Batch   1506, Loss  0.843082, Average Loss  0.835475, Time  0.237852
2021-09-16 21:50:37.862666 : Epoch  9, Batch   1507, Loss  0.829119, Average Loss  0.835493, Time  0.237708
2021-09-16 21:50:40.413077 : Epoch  9, Batch   1508, Loss  0.842821, Average Loss  0.835570, Time  0.237304
2021-09-16 21:50:42.964229 : Epoch  9, Batch   1509, Loss  0.835024, Average Loss  0.835504, Time  0.237791
2021-09-16 21:50:45.513717 : Epoch  9, Batch   1510, Loss  0.840192, Average Loss  0.835481, Time  0.237729
2021-09-16 21:50:48.088686 : Epoch  9, Batch   1511, Loss  0.811076, Average Loss  0.835256, Time  0.237754
2021-09-16 21:50:50.655989 : Epoch  9, Batch   1512, Loss  0.837507, Average Loss  0.835275, Time  0.237469
2021-09-16 21:50:53.229736 : Epoch  9, Batch   1513, Loss  0.830164, Average Loss  0.835157, Time  0.237891
2021-09-16 21:50:55.783705 : Epoch  9, Batch   1514, Loss  0.850382, Average Loss  0.835300, Time  0.238666
2021-09-16 21:50:58.332750 : Epoch  9, Batch   1515, Loss  0.845293, Average Loss  0.835417, Time  0.238125
2021-09-16 21:51:00.876088 : Epoch  9, Batch   1516, Loss  0.862517, Average Loss  0.835555, Time  0.237460
2021-09-16 21:51:03.433152 : Epoch  9, Batch   1517, Loss  0.856879, Average Loss  0.835575, Time  0.237494
2021-09-16 21:51:05.991841 : Epoch  9, Batch   1518, Loss  0.836522, Average Loss  0.835529, Time  0.237856
2021-09-16 21:51:08.549850 : Epoch  9, Batch   1519, Loss  0.845690, Average Loss  0.835620, Time  0.238279
2021-09-16 21:51:11.101863 : Epoch  9, Batch   1520, Loss  0.839601, Average Loss  0.835703, Time  0.237506
2021-09-16 21:51:13.642029 : Epoch  9, Batch   1521, Loss  0.854102, Average Loss  0.835853, Time  0.237652
2021-09-16 21:51:16.180758 : Epoch  9, Batch   1522, Loss  0.830430, Average Loss  0.835848, Time  0.237651
2021-09-16 21:51:18.732180 : Epoch  9, Batch   1523, Loss  0.854850, Average Loss  0.835891, Time  0.237848
2021-09-16 21:51:21.285906 : Epoch  9, Batch   1524, Loss  0.828471, Average Loss  0.835931, Time  0.237545
2021-09-16 21:51:23.829588 : Epoch  9, Batch   1525, Loss  0.841430, Average Loss  0.836002, Time  0.237719
2021-09-16 21:51:26.378131 : Epoch  9, Batch   1526, Loss  0.822721, Average Loss  0.835966, Time  0.237516
2021-09-16 21:51:28.931242 : Epoch  9, Batch   1527, Loss  0.835590, Average Loss  0.836003, Time  0.237861
2021-09-16 21:51:31.485735 : Epoch  9, Batch   1528, Loss  0.808974, Average Loss  0.835873, Time  0.238311
2021-09-16 21:51:34.052782 : Epoch  9, Batch   1529, Loss  0.846782, Average Loss  0.835972, Time  0.238605
2021-09-16 21:51:36.610159 : Epoch  9, Batch   1530, Loss  0.844799, Average Loss  0.835937, Time  0.237782
2021-09-16 21:51:39.172023 : Epoch  9, Batch   1531, Loss  0.844849, Average Loss  0.835881, Time  0.237664
2021-09-16 21:51:41.726960 : Epoch  9, Batch   1532, Loss  0.815282, Average Loss  0.835788, Time  0.237622
2021-09-16 21:51:44.274235 : Epoch  9, Batch   1533, Loss  0.849201, Average Loss  0.835825, Time  0.237463
2021-09-16 21:51:46.831229 : Epoch  9, Batch   1534, Loss  0.824127, Average Loss  0.835767, Time  0.237531
2021-09-16 21:51:49.386990 : Epoch  9, Batch   1535, Loss  0.813914, Average Loss  0.835643, Time  0.237964
2021-09-16 21:51:51.958765 : Epoch  9, Batch   1536, Loss  0.804986, Average Loss  0.835450, Time  0.237489
2021-09-16 21:51:54.500361 : Epoch  9, Batch   1537, Loss  0.817598, Average Loss  0.835299, Time  0.237703
2021-09-16 21:51:57.060710 : Epoch  9, Batch   1538, Loss  0.826438, Average Loss  0.835359, Time  0.238073
2021-09-16 21:51:59.627121 : Epoch  9, Batch   1539, Loss  0.837186, Average Loss  0.835385, Time  0.238697
2021-09-16 21:52:02.169672 : Epoch  9, Batch   1540, Loss  0.850342, Average Loss  0.835511, Time  0.237889
2021-09-16 21:52:04.716922 : Epoch  9, Batch   1541, Loss  0.858535, Average Loss  0.835709, Time  0.237962
2021-09-16 21:52:07.268698 : Epoch  9, Batch   1542, Loss  0.822620, Average Loss  0.835731, Time  0.237680
2021-09-16 21:52:09.818729 : Epoch  9, Batch   1543, Loss  0.843091, Average Loss  0.835863, Time  0.237719
2021-09-16 21:52:12.363703 : Epoch  9, Batch   1544, Loss  0.832928, Average Loss  0.835819, Time  0.237505
2021-09-16 21:52:14.932713 : Epoch  9, Batch   1545, Loss  0.850551, Average Loss  0.835902, Time  0.237858
2021-09-16 21:52:17.470933 : Epoch  9, Batch   1546, Loss  0.810927, Average Loss  0.835829, Time  0.237753
2021-09-16 21:52:20.014294 : Epoch  9, Batch   1547, Loss  0.839835, Average Loss  0.835929, Time  0.237717
2021-09-16 21:52:22.584761 : Epoch  9, Batch   1548, Loss  0.841091, Average Loss  0.835876, Time  0.237559
2021-09-16 21:52:25.138028 : Epoch  9, Batch   1549, Loss  0.837111, Average Loss  0.836012, Time  0.237706
2021-09-16 21:52:27.718682 : Epoch  9, Batch   1550, Loss  0.829646, Average Loss  0.835968, Time  0.244056
2021-09-16 21:52:30.275850 : Epoch  9, Batch   1551, Loss  0.810989, Average Loss  0.835934, Time  0.238026
2021-09-16 21:52:32.827680 : Epoch  9, Batch   1552, Loss  0.831125, Average Loss  0.836044, Time  0.238648
2021-09-16 21:56:28.475689 : CheckPoint: Validation Loss  0.00029043, Best Loss  0.00028305
2021-09-16 21:56:31.016019 : Epoch  9, Batch   1553, Loss  0.848496, Average Loss  0.836016, Time  0.237431
2021-09-16 21:56:33.573029 : Epoch  9, Batch   1554, Loss  0.867152, Average Loss  0.836201, Time  0.238669
2021-09-16 21:56:36.132868 : Epoch  9, Batch   1555, Loss  0.840241, Average Loss  0.836134, Time  0.237327
2021-09-16 21:56:38.686706 : Epoch  9, Batch   1556, Loss  0.857436, Average Loss  0.836266, Time  0.237551
2021-09-16 21:56:41.240685 : Epoch  9, Batch   1557, Loss  0.860246, Average Loss  0.836418, Time  0.237584
2021-09-16 21:56:43.826787 : Epoch  9, Batch   1558, Loss  0.823715, Average Loss  0.836362, Time  0.237716
2021-09-16 21:56:46.371993 : Epoch  9, Batch   1559, Loss  0.844689, Average Loss  0.836311, Time  0.237500
2021-09-16 21:56:48.929729 : Epoch  9, Batch   1560, Loss  0.839740, Average Loss  0.836360, Time  0.237732
2021-09-16 21:56:51.491979 : Epoch  9, Batch   1561, Loss  0.848585, Average Loss  0.836306, Time  0.237498
2021-09-16 21:56:54.056792 : Epoch  9, Batch   1562, Loss  0.827146, Average Loss  0.836230, Time  0.237964
2021-09-16 21:56:56.608677 : Epoch  9, Batch   1563, Loss  0.843759, Average Loss  0.836206, Time  0.237618
2021-09-16 21:56:59.159083 : Epoch  9, Batch   1564, Loss  0.836511, Average Loss  0.836195, Time  0.237721
2021-09-16 21:57:01.713979 : Epoch  9, Batch   1565, Loss  0.834424, Average Loss  0.836243, Time  0.237737
2021-09-16 21:57:04.283981 : Epoch  9, Batch   1566, Loss  0.851062, Average Loss  0.836333, Time  0.237864
2021-09-16 21:57:06.843949 : Epoch  9, Batch   1567, Loss  0.842727, Average Loss  0.836369, Time  0.237411
2021-09-16 21:57:09.409728 : Epoch  9, Batch   1568, Loss  0.824625, Average Loss  0.836294, Time  0.237713
2021-09-16 21:57:11.957715 : Epoch  9, Batch   1569, Loss  0.830351, Average Loss  0.836352, Time  0.237892
2021-09-16 21:57:14.518254 : Epoch  9, Batch   1570, Loss  0.833134, Average Loss  0.836233, Time  0.237849
2021-09-16 21:57:17.082014 : Epoch  9, Batch   1571, Loss  0.861057, Average Loss  0.836441, Time  0.237320
2021-09-16 21:57:19.638945 : Epoch  9, Batch   1572, Loss  0.819434, Average Loss  0.836333, Time  0.237781
2021-09-16 21:57:22.196677 : Epoch  9, Batch   1573, Loss  0.861938, Average Loss  0.836540, Time  0.237792
2021-09-16 21:57:24.758949 : Epoch  9, Batch   1574, Loss  0.827760, Average Loss  0.836487, Time  0.237679
2021-09-16 21:57:27.312851 : Epoch  9, Batch   1575, Loss  0.837734, Average Loss  0.836587, Time  0.238171
2021-09-16 21:57:29.865116 : Epoch  9, Batch   1576, Loss  0.820060, Average Loss  0.836565, Time  0.237461
2021-09-16 21:57:32.420943 : Epoch  9, Batch   1577, Loss  0.828222, Average Loss  0.836497, Time  0.238363
2021-09-16 21:57:34.981985 : Epoch  9, Batch   1578, Loss  0.821281, Average Loss  0.836386, Time  0.237905
2021-09-16 21:57:37.539860 : Epoch  9, Batch   1579, Loss  0.817308, Average Loss  0.836296, Time  0.237640
2021-09-16 21:57:40.107781 : Epoch  9, Batch   1580, Loss  0.823179, Average Loss  0.836195, Time  0.237660
2021-09-16 21:57:42.664780 : Epoch  9, Batch   1581, Loss  0.837943, Average Loss  0.836217, Time  0.237915
2021-09-16 21:57:45.231714 : Epoch  9, Batch   1582, Loss  0.849736, Average Loss  0.836203, Time  0.238023
2021-09-16 21:57:47.792118 : Epoch  9, Batch   1583, Loss  0.824690, Average Loss  0.836062, Time  0.238285
2021-09-16 21:57:50.354666 : Epoch  9, Batch   1584, Loss  0.844398, Average Loss  0.836110, Time  0.237422
2021-09-16 21:57:52.910024 : Epoch  9, Batch   1585, Loss  0.846471, Average Loss  0.836142, Time  0.237792
2021-09-16 21:57:55.461001 : Epoch  9, Batch   1586, Loss  0.844108, Average Loss  0.836169, Time  0.237413
2021-09-16 21:57:58.015959 : Epoch  9, Batch   1587, Loss  0.828861, Average Loss  0.836159, Time  0.237746
2021-09-16 21:58:00.571868 : Epoch  9, Batch   1588, Loss  0.833433, Average Loss  0.836130, Time  0.237640
2021-09-16 21:58:03.123879 : Epoch  9, Batch   1589, Loss  0.839788, Average Loss  0.836167, Time  0.237471
2021-09-16 21:58:05.681903 : Epoch  9, Batch   1590, Loss  0.810841, Average Loss  0.836071, Time  0.237873
2021-09-16 21:58:08.237897 : Epoch  9, Batch   1591, Loss  0.836569, Average Loss  0.836152, Time  0.237411
2021-09-16 21:58:10.793693 : Epoch  9, Batch   1592, Loss  0.817069, Average Loss  0.836130, Time  0.237629
2021-09-16 21:58:13.353813 : Epoch  9, Batch   1593, Loss  0.832452, Average Loss  0.836161, Time  0.237594
2021-09-16 21:58:15.911742 : Epoch  9, Batch   1594, Loss  0.816635, Average Loss  0.836070, Time  0.237814
2021-09-16 21:58:18.479810 : Epoch  9, Batch   1595, Loss  0.818327, Average Loss  0.835992, Time  0.237621
2021-09-16 21:58:21.034629 : Epoch  9, Batch   1596, Loss  0.847628, Average Loss  0.836080, Time  0.237971
2021-09-16 21:58:23.599682 : Epoch  9, Batch   1597, Loss  0.833718, Average Loss  0.836047, Time  0.237556
2021-09-16 21:58:26.153747 : Epoch  9, Batch   1598, Loss  0.828613, Average Loss  0.835988, Time  0.237955
2021-09-16 21:58:28.715678 : Epoch  9, Batch   1599, Loss  0.835891, Average Loss  0.835988, Time  0.237792
2021-09-16 21:58:31.283037 : Epoch  9, Batch   1600, Loss  0.834129, Average Loss  0.836076, Time  0.237672
2021-09-16 21:58:33.843288 : Epoch  9, Batch   1601, Loss  0.855381, Average Loss  0.836136, Time  0.238275
2021-09-16 21:58:36.395887 : Epoch  9, Batch   1602, Loss  0.847762, Average Loss  0.836353, Time  0.237880
2021-09-16 21:58:38.959750 : Epoch  9, Batch   1603, Loss  0.833406, Average Loss  0.836325, Time  0.237807
2021-09-16 21:58:41.518921 : Epoch  9, Batch   1604, Loss  0.838571, Average Loss  0.836240, Time  0.237719
2021-09-16 21:58:44.080958 : Epoch  9, Batch   1605, Loss  0.841132, Average Loss  0.836385, Time  0.237736
2021-09-16 21:58:46.645677 : Epoch  9, Batch   1606, Loss  0.836558, Average Loss  0.836328, Time  0.238136
2021-09-16 21:58:49.203981 : Epoch  9, Batch   1607, Loss  0.836357, Average Loss  0.836356, Time  0.237566
2021-09-16 21:58:51.756229 : Epoch  9, Batch   1608, Loss  0.844504, Average Loss  0.836500, Time  0.237575
2021-09-16 21:58:54.312977 : Epoch  9, Batch   1609, Loss  0.819607, Average Loss  0.836449, Time  0.237829
2021-09-16 21:58:56.869008 : Epoch  9, Batch   1610, Loss  0.849987, Average Loss  0.836547, Time  0.237730
2021-09-16 21:58:59.432338 : Epoch  9, Batch   1611, Loss  0.832204, Average Loss  0.836542, Time  0.238697
2021-09-16 21:59:01.992844 : Epoch  9, Batch   1612, Loss  0.812587, Average Loss  0.836489, Time  0.237569
2021-09-16 21:59:04.548905 : Epoch  9, Batch   1613, Loss  0.848086, Average Loss  0.836547, Time  0.237875
2021-09-16 21:59:07.104989 : Epoch  9, Batch   1614, Loss  0.853684, Average Loss  0.836663, Time  0.237859
2021-09-16 21:59:09.659903 : Epoch  9, Batch   1615, Loss  0.813142, Average Loss  0.836474, Time  0.237564
2021-09-16 21:59:12.213006 : Epoch  9, Batch   1616, Loss  0.851887, Average Loss  0.836496, Time  0.238084
2021-09-16 21:59:14.768926 : Epoch  9, Batch   1617, Loss  0.837807, Average Loss  0.836441, Time  0.237570
2021-09-16 21:59:17.345786 : Epoch  9, Batch   1618, Loss  0.838732, Average Loss  0.836448, Time  0.237947
2021-09-16 21:59:19.894124 : Epoch  9, Batch   1619, Loss  0.857334, Average Loss  0.836589, Time  0.237657
2021-09-16 21:59:22.458994 : Epoch  9, Batch   1620, Loss  0.841217, Average Loss  0.836674, Time  0.237355
2021-09-16 21:59:25.014658 : Epoch  9, Batch   1621, Loss  0.827011, Average Loss  0.836544, Time  0.237994
2021-09-16 21:59:27.578810 : Epoch  9, Batch   1622, Loss  0.827675, Average Loss  0.836491, Time  0.237641
2021-09-16 21:59:30.135537 : Epoch  9, Batch   1623, Loss  0.844944, Average Loss  0.836652, Time  0.237770
2021-09-16 21:59:32.713690 : Epoch  9, Batch   1624, Loss  0.835538, Average Loss  0.836617, Time  0.237532
2021-09-16 21:59:35.280098 : Epoch  9, Batch   1625, Loss  0.827151, Average Loss  0.836574, Time  0.238384
2021-09-16 21:59:37.841901 : Epoch  9, Batch   1626, Loss  0.838508, Average Loss  0.836536, Time  0.237857
2021-09-16 21:59:40.408891 : Epoch  9, Batch   1627, Loss  0.799698, Average Loss  0.836443, Time  0.238013
2021-09-16 21:59:42.992890 : Epoch  9, Batch   1628, Loss  0.830724, Average Loss  0.836336, Time  0.237418
2021-09-16 21:59:45.560327 : Epoch  9, Batch   1629, Loss  0.829174, Average Loss  0.836279, Time  0.238084
2021-09-16 21:59:48.127934 : Epoch  9, Batch   1630, Loss  0.829995, Average Loss  0.836329, Time  0.237732
2021-09-16 21:59:50.682877 : Epoch  9, Batch   1631, Loss  0.815354, Average Loss  0.836265, Time  0.237794
2021-09-16 21:59:53.236675 : Epoch  9, Batch   1632, Loss  0.849660, Average Loss  0.836250, Time  0.237502
2021-09-16 21:59:55.800707 : Epoch  9, Batch   1633, Loss  0.838155, Average Loss  0.836221, Time  0.237884
2021-09-16 21:59:58.358703 : Epoch  9, Batch   1634, Loss  0.846174, Average Loss  0.836325, Time  0.238039
2021-09-16 22:00:00.919886 : Epoch  9, Batch   1635, Loss  0.838695, Average Loss  0.836247, Time  0.237648
2021-09-16 22:00:03.477892 : Epoch  9, Batch   1636, Loss  0.848255, Average Loss  0.836366, Time  0.237408
2021-09-16 22:00:06.042103 : Epoch  9, Batch   1637, Loss  0.853345, Average Loss  0.836504, Time  0.237480
2021-09-16 22:00:08.603906 : Epoch  9, Batch   1638, Loss  0.829026, Average Loss  0.836427, Time  0.237867
2021-09-16 22:00:11.180982 : Epoch  9, Batch   1639, Loss  0.867791, Average Loss  0.836574, Time  0.237476
2021-09-16 22:00:13.743922 : Epoch  9, Batch   1640, Loss  0.851125, Average Loss  0.836604, Time  0.237633
2021-09-16 22:00:16.360120 : Epoch  9, Batch   1641, Loss  0.847031, Average Loss  0.836726, Time  0.237584
2021-09-16 22:00:18.920973 : Epoch  9, Batch   1642, Loss  0.817008, Average Loss  0.836620, Time  0.237608
2021-09-16 22:00:21.483148 : Epoch  9, Batch   1643, Loss  0.842366, Average Loss  0.836688, Time  0.237603
2021-09-16 22:00:24.041804 : Epoch  9, Batch   1644, Loss  0.832504, Average Loss  0.836681, Time  0.238031
2021-09-16 22:00:26.595902 : Epoch  9, Batch   1645, Loss  0.828097, Average Loss  0.836589, Time  0.237414
2021-09-16 22:00:29.150764 : Epoch  9, Batch   1646, Loss  0.833041, Average Loss  0.836621, Time  0.238112
2021-09-16 22:00:31.736167 : Epoch  9, Batch   1647, Loss  0.852157, Average Loss  0.836572, Time  0.237406
2021-09-16 22:00:34.306842 : Epoch  9, Batch   1648, Loss  0.829679, Average Loss  0.836424, Time  0.238353
2021-09-16 22:00:36.864758 : Epoch  9, Batch   1649, Loss  0.822400, Average Loss  0.836447, Time  0.237559
2021-09-16 22:00:39.428945 : Epoch  9, Batch   1650, Loss  0.814346, Average Loss  0.836357, Time  0.238432
2021-09-16 22:00:41.987962 : Epoch  9, Batch   1651, Loss  0.830131, Average Loss  0.836358, Time  0.237897
2021-09-16 22:00:44.548697 : Epoch  9, Batch   1652, Loss  0.839692, Average Loss  0.836352, Time  0.237708
2021-09-16 22:04:39.427675 : CheckPoint: Validation Loss  0.00027885, Best Loss  0.00027885
2021-09-16 22:04:39.478549 : Best Model Updated
2021-09-16 22:04:42.814029 : Epoch  9, Batch   1653, Loss  0.846480, Average Loss  0.836413, Time  0.237426
2021-09-16 22:04:45.385990 : Epoch  9, Batch   1654, Loss  0.839232, Average Loss  0.836474, Time  0.237818
2021-09-16 22:04:47.956750 : Epoch  9, Batch   1655, Loss  0.840375, Average Loss  0.836492, Time  0.237609
2021-09-16 22:04:50.522241 : Epoch  9, Batch   1656, Loss  0.829016, Average Loss  0.836495, Time  0.237995
2021-09-16 22:04:53.083985 : Epoch  9, Batch   1657, Loss  0.809123, Average Loss  0.836376, Time  0.237492
2021-09-16 22:04:55.668939 : Epoch  9, Batch   1658, Loss  0.831598, Average Loss  0.836531, Time  0.237949
2021-09-16 22:04:58.235913 : Epoch  9, Batch   1659, Loss  0.837688, Average Loss  0.836495, Time  0.237343
2021-09-16 22:05:00.795947 : Epoch  9, Batch   1660, Loss  0.847862, Average Loss  0.836594, Time  0.238150
2021-09-16 22:05:03.360131 : Epoch  9, Batch   1661, Loss  0.858515, Average Loss  0.836708, Time  0.237335
2021-09-16 22:05:05.943747 : Epoch  9, Batch   1662, Loss  0.836747, Average Loss  0.836761, Time  0.238290
2021-09-16 22:05:08.538115 : Epoch  9, Batch   1663, Loss  0.828430, Average Loss  0.836727, Time  0.237279
2021-09-16 22:05:11.115997 : Epoch  9, Batch   1664, Loss  0.838019, Average Loss  0.836711, Time  0.238117
2021-09-16 22:05:13.670890 : Epoch  9, Batch   1665, Loss  0.809681, Average Loss  0.836677, Time  0.237528
2021-09-16 22:05:16.235860 : Epoch  9, Batch   1666, Loss  0.851247, Average Loss  0.836768, Time  0.237872
2021-09-16 22:05:18.802912 : Epoch  9, Batch   1667, Loss  0.822804, Average Loss  0.836649, Time  0.237440
2021-09-16 22:05:21.362849 : Epoch  9, Batch   1668, Loss  0.841882, Average Loss  0.836658, Time  0.238112
2021-09-16 22:05:23.926286 : Epoch  9, Batch   1669, Loss  0.837815, Average Loss  0.836541, Time  0.237718
2021-09-16 22:05:26.495119 : Epoch  9, Batch   1670, Loss  0.852649, Average Loss  0.836614, Time  0.237793
2021-09-16 22:05:29.059997 : Epoch  9, Batch   1671, Loss  0.840382, Average Loss  0.836680, Time  0.237409
2021-09-16 22:05:31.628929 : Epoch  9, Batch   1672, Loss  0.845061, Average Loss  0.836802, Time  0.237642
2021-09-16 22:05:34.192886 : Epoch  9, Batch   1673, Loss  0.833637, Average Loss  0.836767, Time  0.237807
2021-09-16 22:05:36.760905 : Epoch  9, Batch   1674, Loss  0.820201, Average Loss  0.836728, Time  0.237623
2021-09-16 22:05:39.325720 : Epoch  9, Batch   1675, Loss  0.827973, Average Loss  0.836596, Time  0.237757
2021-09-16 22:05:41.889673 : Epoch  9, Batch   1676, Loss  0.825263, Average Loss  0.836574, Time  0.237556
2021-09-16 22:05:44.459720 : Epoch  9, Batch   1677, Loss  0.822645, Average Loss  0.836457, Time  0.237666
2021-09-16 22:05:47.024862 : Epoch  9, Batch   1678, Loss  0.832563, Average Loss  0.836509, Time  0.237721
2021-09-16 22:05:49.591842 : Epoch  9, Batch   1679, Loss  0.834499, Average Loss  0.836430, Time  0.237419
2021-09-16 22:05:52.166822 : Epoch  9, Batch   1680, Loss  0.839367, Average Loss  0.836444, Time  0.237570
2021-09-16 22:05:54.733018 : Epoch  9, Batch   1681, Loss  0.834323, Average Loss  0.836473, Time  0.237667
2021-09-16 22:05:57.305900 : Epoch  9, Batch   1682, Loss  0.835063, Average Loss  0.836470, Time  0.237965
2021-09-16 22:05:59.870558 : Epoch  9, Batch   1683, Loss  0.810643, Average Loss  0.836322, Time  0.237635
2021-09-16 22:06:02.440862 : Epoch  9, Batch   1684, Loss  0.841264, Average Loss  0.836382, Time  0.238215
2021-09-16 22:06:05.011714 : Epoch  9, Batch   1685, Loss  0.853779, Average Loss  0.836521, Time  0.237782
2021-09-16 22:06:07.586768 : Epoch  9, Batch   1686, Loss  0.844400, Average Loss  0.836590, Time  0.237815
2021-09-16 22:06:10.160152 : Epoch  9, Batch   1687, Loss  0.833565, Average Loss  0.836505, Time  0.237677
2021-09-16 22:06:12.737800 : Epoch  9, Batch   1688, Loss  0.842435, Average Loss  0.836491, Time  0.238204
2021-09-16 22:06:15.304901 : Epoch  9, Batch   1689, Loss  0.848560, Average Loss  0.836488, Time  0.237436
2021-09-16 22:06:17.882748 : Epoch  9, Batch   1690, Loss  0.838520, Average Loss  0.836446, Time  0.237542
2021-09-16 22:06:20.451055 : Epoch  9, Batch   1691, Loss  0.825729, Average Loss  0.836466, Time  0.237550
2021-09-16 22:06:23.009688 : Epoch  9, Batch   1692, Loss  0.837524, Average Loss  0.836386, Time  0.237849
2021-09-16 22:06:25.578937 : Epoch  9, Batch   1693, Loss  0.807716, Average Loss  0.836263, Time  0.237720
2021-09-16 22:06:28.147682 : Epoch  9, Batch   1694, Loss  0.826030, Average Loss  0.836327, Time  0.237455
2021-09-16 22:06:30.712830 : Epoch  9, Batch   1695, Loss  0.843095, Average Loss  0.836348, Time  0.237670
2021-09-16 22:06:33.292413 : Epoch  9, Batch   1696, Loss  0.828728, Average Loss  0.836206, Time  0.237781
2021-09-16 22:06:35.872864 : Epoch  9, Batch   1697, Loss  0.850296, Average Loss  0.836285, Time  0.238164
2021-09-16 22:06:38.434895 : Epoch  9, Batch   1698, Loss  0.830717, Average Loss  0.836155, Time  0.237175
2021-09-16 22:06:41.002912 : Epoch  9, Batch   1699, Loss  0.835450, Average Loss  0.836138, Time  0.238162
2021-09-16 22:06:43.571846 : Epoch  9, Batch   1700, Loss  0.830468, Average Loss  0.836053, Time  0.237381
2021-09-16 22:06:46.138932 : Epoch  9, Batch   1701, Loss  0.817400, Average Loss  0.835826, Time  0.237894
2021-09-16 22:06:48.704120 : Epoch  9, Batch   1702, Loss  0.815628, Average Loss  0.835717, Time  0.237594
2021-09-16 22:06:51.267829 : Epoch  9, Batch   1703, Loss  0.799193, Average Loss  0.835537, Time  0.237445
2021-09-16 22:06:53.830914 : Epoch  9, Batch   1704, Loss  0.840268, Average Loss  0.835563, Time  0.237651
2021-09-16 22:06:56.397861 : Epoch  9, Batch   1705, Loss  0.831791, Average Loss  0.835447, Time  0.237311
2021-09-16 22:06:58.963226 : Epoch  9, Batch   1706, Loss  0.816362, Average Loss  0.835314, Time  0.237259
2021-09-16 22:07:01.528795 : Epoch  9, Batch   1707, Loss  0.841769, Average Loss  0.835377, Time  0.237914
2021-09-16 22:07:04.100833 : Epoch  9, Batch   1708, Loss  0.818994, Average Loss  0.835258, Time  0.237708
2021-09-16 22:07:06.666106 : Epoch  9, Batch   1709, Loss  0.838778, Average Loss  0.835276, Time  0.237520
2021-09-16 22:07:09.240195 : Epoch  9, Batch   1710, Loss  0.839598, Average Loss  0.835273, Time  0.237785
2021-09-16 22:07:11.803845 : Epoch  9, Batch   1711, Loss  0.853502, Average Loss  0.835486, Time  0.237756
2021-09-16 22:07:14.370722 : Epoch  9, Batch   1712, Loss  0.828950, Average Loss  0.835443, Time  0.238000
2021-09-16 22:07:16.929822 : Epoch  9, Batch   1713, Loss  0.832909, Average Loss  0.835457, Time  0.237357
2021-09-16 22:07:19.491138 : Epoch  9, Batch   1714, Loss  0.839583, Average Loss  0.835403, Time  0.237798
2021-09-16 22:07:22.057851 : Epoch  9, Batch   1715, Loss  0.813116, Average Loss  0.835242, Time  0.237531
2021-09-16 22:07:24.622925 : Epoch  9, Batch   1716, Loss  0.828946, Average Loss  0.835074, Time  0.237864
2021-09-16 22:07:27.193122 : Epoch  9, Batch   1717, Loss  0.803125, Average Loss  0.834805, Time  0.237339
2021-09-16 22:07:29.746305 : Epoch  9, Batch   1718, Loss  0.844108, Average Loss  0.834843, Time  0.237631
2021-09-16 22:07:32.318095 : Epoch  9, Batch   1719, Loss  0.840189, Average Loss  0.834815, Time  0.237484
2021-09-16 22:07:34.872117 : Epoch  9, Batch   1720, Loss  0.845597, Average Loss  0.834845, Time  0.237353
2021-09-16 22:07:37.452131 : Epoch  9, Batch   1721, Loss  0.848706, Average Loss  0.834818, Time  0.237680
2021-09-16 22:07:40.027127 : Epoch  9, Batch   1722, Loss  0.824198, Average Loss  0.834787, Time  0.237371
2021-09-16 22:07:42.600011 : Epoch  9, Batch   1723, Loss  0.857344, Average Loss  0.834800, Time  0.237732
2021-09-16 22:07:45.177910 : Epoch  9, Batch   1724, Loss  0.817503, Average Loss  0.834745, Time  0.237595
2021-09-16 22:07:47.737999 : Epoch  9, Batch   1725, Loss  0.843048, Average Loss  0.834753, Time  0.237747
2021-09-16 22:07:50.305935 : Epoch  9, Batch   1726, Loss  0.823497, Average Loss  0.834757, Time  0.237576
2021-09-16 22:07:52.876025 : Epoch  9, Batch   1727, Loss  0.812074, Average Loss  0.834639, Time  0.237627
2021-09-16 22:07:55.440742 : Epoch  9, Batch   1728, Loss  0.837755, Average Loss  0.834783, Time  0.237440
2021-09-16 22:07:58.007997 : Epoch  9, Batch   1729, Loss  0.834691, Average Loss  0.834723, Time  0.237672
2021-09-16 22:08:00.567668 : Epoch  9, Batch   1730, Loss  0.815655, Average Loss  0.834577, Time  0.237605
2021-09-16 22:08:03.134216 : Epoch  9, Batch   1731, Loss  0.837446, Average Loss  0.834540, Time  0.237825
2021-09-16 22:08:05.701906 : Epoch  9, Batch   1732, Loss  0.824404, Average Loss  0.834586, Time  0.237678
2021-09-16 22:08:08.274161 : Epoch  9, Batch   1733, Loss  0.846430, Average Loss  0.834572, Time  0.237600
2021-09-16 22:08:10.837045 : Epoch  9, Batch   1734, Loss  0.835504, Average Loss  0.834629, Time  0.237547
2021-09-16 22:08:13.403219 : Epoch  9, Batch   1735, Loss  0.844897, Average Loss  0.834784, Time  0.237906
2021-09-16 22:08:15.979903 : Epoch  9, Batch   1736, Loss  0.818411, Average Loss  0.834851, Time  0.237851
2021-09-16 22:08:18.545664 : Epoch  9, Batch   1737, Loss  0.834826, Average Loss  0.834937, Time  0.237673
2021-09-16 22:08:21.126848 : Epoch  9, Batch   1738, Loss  0.844512, Average Loss  0.835027, Time  0.238052
2021-09-16 22:08:23.700105 : Epoch  9, Batch   1739, Loss  0.801424, Average Loss  0.834848, Time  0.237678
2021-09-16 22:08:26.296047 : Epoch  9, Batch   1740, Loss  0.837341, Average Loss  0.834783, Time  0.237923
2021-09-16 22:08:28.862929 : Epoch  9, Batch   1741, Loss  0.829820, Average Loss  0.834640, Time  0.237398
2021-09-16 22:08:31.437031 : Epoch  9, Batch   1742, Loss  0.834963, Average Loss  0.834702, Time  0.237808
2021-09-16 22:08:34.002500 : Epoch  9, Batch   1743, Loss  0.817303, Average Loss  0.834573, Time  0.237785
2021-09-16 22:08:36.584996 : Epoch  9, Batch   1744, Loss  0.824181, Average Loss  0.834529, Time  0.238105
2021-09-16 22:08:39.144901 : Epoch  9, Batch   1745, Loss  0.849778, Average Loss  0.834525, Time  0.237441
2021-09-16 22:08:41.711887 : Epoch  9, Batch   1746, Loss  0.838715, Average Loss  0.834664, Time  0.237712
2021-09-16 22:08:44.273992 : Epoch  9, Batch   1747, Loss  0.831237, Average Loss  0.834621, Time  0.237582
2021-09-16 22:08:46.848911 : Epoch  9, Batch   1748, Loss  0.841990, Average Loss  0.834625, Time  0.237811
2021-09-16 22:08:49.415762 : Epoch  9, Batch   1749, Loss  0.853885, Average Loss  0.834709, Time  0.237924
2021-09-16 22:08:51.992896 : Epoch  9, Batch   1750, Loss  0.832764, Average Loss  0.834725, Time  0.237465
2021-09-16 22:08:54.562200 : Epoch  9, Batch   1751, Loss  0.841077, Average Loss  0.834875, Time  0.238177
2021-09-16 22:08:57.134921 : Epoch  9, Batch   1752, Loss  0.846889, Average Loss  0.834954, Time  0.237324
2021-09-16 22:12:53.204692 : CheckPoint: Validation Loss  0.00028998, Best Loss  0.00027885
2021-09-16 22:12:55.792011 : Epoch  9, Batch   1753, Loss  0.816803, Average Loss  0.834796, Time  0.274768
2021-09-16 22:12:58.362924 : Epoch  9, Batch   1754, Loss  0.836236, Average Loss  0.834641, Time  0.251939
2021-09-16 22:13:00.922802 : Epoch  9, Batch   1755, Loss  0.824525, Average Loss  0.834563, Time  0.237692
2021-09-16 22:13:03.486924 : Epoch  9, Batch   1756, Loss  0.823737, Average Loss  0.834394, Time  0.237654
2021-09-16 22:13:06.040810 : Epoch  9, Batch   1757, Loss  0.859923, Average Loss  0.834392, Time  0.237760
2021-09-16 22:13:08.603091 : Epoch  9, Batch   1758, Loss  0.826096, Average Loss  0.834404, Time  0.237634
2021-09-16 22:13:11.162837 : Epoch  9, Batch   1759, Loss  0.818452, Average Loss  0.834273, Time  0.237236
2021-09-16 22:13:13.736323 : Epoch  9, Batch   1760, Loss  0.846116, Average Loss  0.834305, Time  0.237575
2021-09-16 22:13:16.293817 : Epoch  9, Batch   1761, Loss  0.839328, Average Loss  0.834259, Time  0.237674
2021-09-16 22:13:18.851258 : Epoch  9, Batch   1762, Loss  0.831339, Average Loss  0.834280, Time  0.238000
2021-09-16 22:13:21.403661 : Epoch  9, Batch   1763, Loss  0.819769, Average Loss  0.834160, Time  0.237722
2021-09-16 22:13:23.959842 : Epoch  9, Batch   1764, Loss  0.814869, Average Loss  0.834052, Time  0.237777
2021-09-16 22:13:26.507909 : Epoch  9, Batch   1765, Loss  0.854058, Average Loss  0.834150, Time  0.237640
2021-09-16 22:13:29.069861 : Epoch  9, Batch   1766, Loss  0.845817, Average Loss  0.834124, Time  0.238333
2021-09-16 22:13:31.640746 : Epoch  9, Batch   1767, Loss  0.832372, Average Loss  0.834072, Time  0.237686
2021-09-16 22:13:34.192890 : Epoch  9, Batch   1768, Loss  0.827470, Average Loss  0.834086, Time  0.237908
2021-09-16 22:13:36.749678 : Epoch  9, Batch   1769, Loss  0.835213, Average Loss  0.834110, Time  0.237662
2021-09-16 22:13:39.307447 : Epoch  9, Batch   1770, Loss  0.836415, Average Loss  0.834127, Time  0.238549
2021-09-16 22:13:41.870722 : Epoch  9, Batch   1771, Loss  0.823989, Average Loss  0.833941, Time  0.237328
2021-09-16 22:13:44.428915 : Epoch  9, Batch   1772, Loss  0.821292, Average Loss  0.833951, Time  0.238357
2021-09-16 22:13:46.981017 : Epoch  9, Batch   1773, Loss  0.834735, Average Loss  0.833815, Time  0.237620
2021-09-16 22:13:49.534921 : Epoch  9, Batch   1774, Loss  0.811982, Average Loss  0.833736, Time  0.237865
2021-09-16 22:13:52.085016 : Epoch  9, Batch   1775, Loss  0.845180, Average Loss  0.833773, Time  0.237630
2021-09-16 22:13:54.642943 : Epoch  9, Batch   1776, Loss  0.811233, Average Loss  0.833729, Time  0.238211
2021-09-16 22:13:57.208041 : Epoch  9, Batch   1777, Loss  0.836175, Average Loss  0.833769, Time  0.237512
2021-09-16 22:13:59.762726 : Epoch  9, Batch   1778, Loss  0.823898, Average Loss  0.833782, Time  0.238072
2021-09-16 22:14:02.323674 : Epoch  9, Batch   1779, Loss  0.842468, Average Loss  0.833907, Time  0.237742
2021-09-16 22:14:04.872820 : Epoch  9, Batch   1780, Loss  0.823924, Average Loss  0.833911, Time  0.238204
2021-09-16 22:14:07.437693 : Epoch  9, Batch   1781, Loss  0.855165, Average Loss  0.833997, Time  0.237445
2021-09-16 22:14:09.985823 : Epoch  9, Batch   1782, Loss  0.840880, Average Loss  0.833953, Time  0.238010
2021-09-16 22:14:12.523694 : Epoch  9, Batch   1783, Loss  0.824685, Average Loss  0.833953, Time  0.237674
2021-09-16 22:14:15.077943 : Epoch  9, Batch   1784, Loss  0.838866, Average Loss  0.833925, Time  0.237828
2021-09-16 22:14:17.634928 : Epoch  9, Batch   1785, Loss  0.847957, Average Loss  0.833933, Time  0.237337
2021-09-16 22:14:20.189873 : Epoch  9, Batch   1786, Loss  0.817253, Average Loss  0.833799, Time  0.238043
2021-09-16 22:14:22.749911 : Epoch  9, Batch   1787, Loss  0.837789, Average Loss  0.833843, Time  0.237609
2021-09-16 22:14:25.301830 : Epoch  9, Batch   1788, Loss  0.840217, Average Loss  0.833877, Time  0.238429
2021-09-16 22:14:27.861781 : Epoch  9, Batch   1789, Loss  0.840170, Average Loss  0.833879, Time  0.237523
2021-09-16 22:14:30.408958 : Epoch  9, Batch   1790, Loss  0.831917, Average Loss  0.833984, Time  0.237655
2021-09-16 22:14:32.960730 : Epoch  9, Batch   1791, Loss  0.824622, Average Loss  0.833925, Time  0.237411
2021-09-16 22:14:35.519854 : Epoch  9, Batch   1792, Loss  0.805444, Average Loss  0.833866, Time  0.237452
2021-09-16 22:14:38.071769 : Epoch  9, Batch   1793, Loss  0.831653, Average Loss  0.833862, Time  0.237444
2021-09-16 22:14:40.634007 : Epoch  9, Batch   1794, Loss  0.853697, Average Loss  0.834048, Time  0.238135
2021-09-16 22:14:43.188920 : Epoch  9, Batch   1795, Loss  0.846118, Average Loss  0.834187, Time  0.237321
2021-09-16 22:14:45.737263 : Epoch  9, Batch   1796, Loss  0.867486, Average Loss  0.834286, Time  0.238106
2021-09-16 22:14:48.296894 : Epoch  9, Batch   1797, Loss  0.836624, Average Loss  0.834301, Time  0.237643
2021-09-16 22:14:50.841853 : Epoch  9, Batch   1798, Loss  0.833073, Average Loss  0.834323, Time  0.237520
2021-09-16 22:14:53.385854 : Epoch  9, Batch   1799, Loss  0.806593, Average Loss  0.834176, Time  0.238296
2021-09-16 22:14:55.932779 : Epoch  9, Batch   1800, Loss  0.844699, Average Loss  0.834229, Time  0.237498
2021-09-16 22:14:58.483754 : Epoch  9, Batch   1801, Loss  0.833193, Average Loss  0.834118, Time  0.237489
2021-09-16 22:15:01.040852 : Epoch  9, Batch   1802, Loss  0.823180, Average Loss  0.833995, Time  0.237819
2021-09-16 22:15:03.596813 : Epoch  9, Batch   1803, Loss  0.814715, Average Loss  0.833902, Time  0.237561
2021-09-16 22:15:06.151071 : Epoch  9, Batch   1804, Loss  0.814760, Average Loss  0.833783, Time  0.237584
2021-09-16 22:15:08.711810 : Epoch  9, Batch   1805, Loss  0.824436, Average Loss  0.833699, Time  0.237585
2021-09-16 22:15:11.252954 : Epoch  9, Batch   1806, Loss  0.817549, Average Loss  0.833604, Time  0.237329
2021-09-16 22:15:13.811839 : Epoch  9, Batch   1807, Loss  0.843678, Average Loss  0.833641, Time  0.237341
2021-09-16 22:15:16.363974 : Epoch  9, Batch   1808, Loss  0.823443, Average Loss  0.833536, Time  0.237537
2021-09-16 22:15:18.918260 : Epoch  9, Batch   1809, Loss  0.848862, Average Loss  0.833682, Time  0.238193
2021-09-16 22:15:21.478881 : Epoch  9, Batch   1810, Loss  0.831694, Average Loss  0.833590, Time  0.237362
2021-09-16 22:15:24.027251 : Epoch  9, Batch   1811, Loss  0.839184, Average Loss  0.833625, Time  0.237550
2021-09-16 22:15:26.573624 : Epoch  9, Batch   1812, Loss  0.835674, Average Loss  0.833741, Time  0.237540
2021-09-16 22:15:29.121808 : Epoch  9, Batch   1813, Loss  0.816038, Average Loss  0.833581, Time  0.237886
2021-09-16 22:15:31.670812 : Epoch  9, Batch   1814, Loss  0.837903, Average Loss  0.833502, Time  0.237525
2021-09-16 22:15:34.223010 : Epoch  9, Batch   1815, Loss  0.829810, Average Loss  0.833585, Time  0.237672
2021-09-16 22:15:36.783991 : Epoch  9, Batch   1816, Loss  0.825618, Average Loss  0.833454, Time  0.237367
2021-09-16 22:15:39.334436 : Epoch  9, Batch   1817, Loss  0.831755, Average Loss  0.833423, Time  0.237762
2021-09-16 22:15:41.882022 : Epoch  9, Batch   1818, Loss  0.827091, Average Loss  0.833365, Time  0.237514
2021-09-16 22:15:44.443927 : Epoch  9, Batch   1819, Loss  0.837169, Average Loss  0.833264, Time  0.238127
2021-09-16 22:15:46.997894 : Epoch  9, Batch   1820, Loss  0.830991, Average Loss  0.833213, Time  0.238199
2021-09-16 22:15:49.554912 : Epoch  9, Batch   1821, Loss  0.828156, Average Loss  0.833219, Time  0.237632
2021-09-16 22:15:52.123903 : Epoch  9, Batch   1822, Loss  0.864343, Average Loss  0.833402, Time  0.237359
2021-09-16 22:15:54.681902 : Epoch  9, Batch   1823, Loss  0.830098, Average Loss  0.833328, Time  0.237662
2021-09-16 22:15:57.235032 : Epoch  9, Batch   1824, Loss  0.822823, Average Loss  0.833264, Time  0.237854
2021-09-16 22:15:59.796141 : Epoch  9, Batch   1825, Loss  0.837000, Average Loss  0.833314, Time  0.238179
2021-09-16 22:16:02.367807 : Epoch  9, Batch   1826, Loss  0.831143, Average Loss  0.833277, Time  0.238486
2021-09-16 22:16:04.924748 : Epoch  9, Batch   1827, Loss  0.832018, Average Loss  0.833439, Time  0.237266
2021-09-16 22:16:07.471833 : Epoch  9, Batch   1828, Loss  0.814378, Average Loss  0.833357, Time  0.237795
2021-09-16 22:16:10.025874 : Epoch  9, Batch   1829, Loss  0.829725, Average Loss  0.833360, Time  0.237278
2021-09-16 22:16:12.591161 : Epoch  9, Batch   1830, Loss  0.863403, Average Loss  0.833527, Time  0.237920
2021-09-16 22:16:15.163703 : Epoch  9, Batch   1831, Loss  0.835681, Average Loss  0.833628, Time  0.237617
2021-09-16 22:16:17.739839 : Epoch  9, Batch   1832, Loss  0.857281, Average Loss  0.833666, Time  0.237801
2021-09-16 22:16:20.292806 : Epoch  9, Batch   1833, Loss  0.848994, Average Loss  0.833721, Time  0.237804
2021-09-16 22:16:22.851218 : Epoch  9, Batch   1834, Loss  0.838471, Average Loss  0.833682, Time  0.237828
2021-09-16 22:16:25.407751 : Epoch  9, Batch   1835, Loss  0.808818, Average Loss  0.833533, Time  0.237376
2021-09-16 22:16:27.966880 : Epoch  9, Batch   1836, Loss  0.848449, Average Loss  0.833534, Time  0.237442
2021-09-16 22:16:30.521888 : Epoch  9, Batch   1837, Loss  0.821608, Average Loss  0.833375, Time  0.237414
2021-09-16 22:16:33.076023 : Epoch  9, Batch   1838, Loss  0.833677, Average Loss  0.833398, Time  0.238210
2021-09-16 22:16:35.641823 : Epoch  9, Batch   1839, Loss  0.840105, Average Loss  0.833260, Time  0.237608
2021-09-16 22:16:38.191884 : Epoch  9, Batch   1840, Loss  0.867763, Average Loss  0.833343, Time  0.237652
2021-09-16 22:16:40.737891 : Epoch  9, Batch   1841, Loss  0.823296, Average Loss  0.833224, Time  0.238035
2021-09-16 22:16:43.293796 : Epoch  9, Batch   1842, Loss  0.849730, Average Loss  0.833388, Time  0.237822
2021-09-16 22:16:45.851011 : Epoch  9, Batch   1843, Loss  0.836040, Average Loss  0.833356, Time  0.238009
2021-09-16 22:16:48.414989 : Epoch  9, Batch   1844, Loss  0.792841, Average Loss  0.833158, Time  0.237582
2021-09-16 22:16:50.975802 : Epoch  9, Batch   1845, Loss  0.846194, Average Loss  0.833248, Time  0.237745
2021-09-16 22:16:53.523802 : Epoch  9, Batch   1846, Loss  0.854248, Average Loss  0.833354, Time  0.238025
2021-09-16 22:16:56.075887 : Epoch  9, Batch   1847, Loss  0.848426, Average Loss  0.833336, Time  0.237458
2021-09-16 22:16:58.651756 : Epoch  9, Batch   1848, Loss  0.804294, Average Loss  0.833209, Time  0.237964
2021-09-16 22:17:01.230063 : Epoch  9, Batch   1849, Loss  0.835044, Average Loss  0.833272, Time  0.237488
2021-09-16 22:17:03.775766 : Epoch  9, Batch   1850, Loss  0.841142, Average Loss  0.833406, Time  0.237469
2021-09-16 22:17:06.333122 : Epoch  9, Batch   1851, Loss  0.815567, Average Loss  0.833333, Time  0.237696
2021-09-16 22:17:08.882793 : Epoch  9, Batch   1852, Loss  0.812131, Average Loss  0.833195, Time  0.237428
2021-09-16 22:21:03.513698 : CheckPoint: Validation Loss  0.00029383, Best Loss  0.00027885
2021-09-16 22:21:06.080912 : Epoch  9, Batch   1853, Loss  0.843574, Average Loss  0.833181, Time  0.257872
2021-09-16 22:21:08.631030 : Epoch  9, Batch   1854, Loss  0.835345, Average Loss  0.833161, Time  0.239106
2021-09-16 22:21:11.189839 : Epoch  9, Batch   1855, Loss  0.864406, Average Loss  0.833282, Time  0.237341
2021-09-16 22:21:13.766712 : Epoch  9, Batch   1856, Loss  0.832782, Average Loss  0.833300, Time  0.241130
2021-09-16 22:21:13.808551 : Saving Model after 9-th Epoch.
2021-09-16 22:21:14.537595 : Epoch Finished.
2021-09-16 22:21:20.496229 : Batch Shuffled
2021-09-16 22:21:23.099053 : Epoch 10, Batch      1, Loss  0.838448, Average Loss  0.833447, Time  0.238180
2021-09-16 22:21:25.666013 : Epoch 10, Batch      2, Loss  0.845792, Average Loss  0.833518, Time  0.237878
2021-09-16 22:21:28.217965 : Epoch 10, Batch      3, Loss  0.837906, Average Loss  0.833519, Time  0.237877
2021-09-16 22:21:30.752742 : Epoch 10, Batch      4, Loss  0.851131, Average Loss  0.833535, Time  0.237347
2021-09-16 22:21:33.288978 : Epoch 10, Batch      5, Loss  0.832665, Average Loss  0.833406, Time  0.237798
2021-09-16 22:21:35.831913 : Epoch 10, Batch      6, Loss  0.835842, Average Loss  0.833402, Time  0.237376
2021-09-16 22:21:38.373315 : Epoch 10, Batch      7, Loss  0.835454, Average Loss  0.833437, Time  0.238260
2021-09-16 22:21:40.915084 : Epoch 10, Batch      8, Loss  0.856728, Average Loss  0.833530, Time  0.238686
2021-09-16 22:21:43.458178 : Epoch 10, Batch      9, Loss  0.839279, Average Loss  0.833678, Time  0.237490
2021-09-16 22:21:46.007154 : Epoch 10, Batch     10, Loss  0.833523, Average Loss  0.833590, Time  0.237498
2021-09-16 22:21:48.561176 : Epoch 10, Batch     11, Loss  0.833728, Average Loss  0.833644, Time  0.237867
2021-09-16 22:21:51.101074 : Epoch 10, Batch     12, Loss  0.840533, Average Loss  0.833638, Time  0.237755
2021-09-16 22:21:53.632761 : Epoch 10, Batch     13, Loss  0.840970, Average Loss  0.833653, Time  0.237805
2021-09-16 22:21:56.174876 : Epoch 10, Batch     14, Loss  0.837306, Average Loss  0.833577, Time  0.237697
2021-09-16 22:21:58.717074 : Epoch 10, Batch     15, Loss  0.835586, Average Loss  0.833553, Time  0.237541
2021-09-16 22:22:01.256883 : Epoch 10, Batch     16, Loss  0.849855, Average Loss  0.833577, Time  0.238010
2021-09-16 22:22:03.795815 : Epoch 10, Batch     17, Loss  0.861673, Average Loss  0.833717, Time  0.237525
2021-09-16 22:22:06.333852 : Epoch 10, Batch     18, Loss  0.827367, Average Loss  0.833753, Time  0.237687
2021-09-16 22:22:08.878923 : Epoch 10, Batch     19, Loss  0.841598, Average Loss  0.833821, Time  0.237508
2021-09-16 22:22:11.425716 : Epoch 10, Batch     20, Loss  0.819912, Average Loss  0.833794, Time  0.237934
2021-09-16 22:22:13.965670 : Epoch 10, Batch     21, Loss  0.824831, Average Loss  0.833805, Time  0.238510
2021-09-16 22:22:16.508895 : Epoch 10, Batch     22, Loss  0.814186, Average Loss  0.833713, Time  0.237652
2021-09-16 22:22:19.052804 : Epoch 10, Batch     23, Loss  0.834281, Average Loss  0.833712, Time  0.237353
2021-09-16 22:22:21.610877 : Epoch 10, Batch     24, Loss  0.823491, Average Loss  0.833633, Time  0.237914
2021-09-16 22:22:24.156739 : Epoch 10, Batch     25, Loss  0.830640, Average Loss  0.833614, Time  0.237833
2021-09-16 22:22:26.699152 : Epoch 10, Batch     26, Loss  0.861398, Average Loss  0.833746, Time  0.237784
2021-09-16 22:22:29.236919 : Epoch 10, Batch     27, Loss  0.846481, Average Loss  0.833925, Time  0.237443
2021-09-16 22:22:31.779702 : Epoch 10, Batch     28, Loss  0.820494, Average Loss  0.833821, Time  0.237771
2021-09-16 22:22:34.323835 : Epoch 10, Batch     29, Loss  0.827888, Average Loss  0.833692, Time  0.237843
2021-09-16 22:22:36.874858 : Epoch 10, Batch     30, Loss  0.833938, Average Loss  0.833639, Time  0.237487
2021-09-16 22:22:39.439737 : Epoch 10, Batch     31, Loss  0.816714, Average Loss  0.833555, Time  0.237516
2021-09-16 22:22:41.984949 : Epoch 10, Batch     32, Loss  0.833827, Average Loss  0.833512, Time  0.238165
2021-09-16 22:22:44.534819 : Epoch 10, Batch     33, Loss  0.813373, Average Loss  0.833336, Time  0.237481
2021-09-16 22:22:47.077865 : Epoch 10, Batch     34, Loss  0.821269, Average Loss  0.833250, Time  0.237871
2021-09-16 22:22:49.618720 : Epoch 10, Batch     35, Loss  0.826025, Average Loss  0.833251, Time  0.237335
2021-09-16 22:22:52.154954 : Epoch 10, Batch     36, Loss  0.832614, Average Loss  0.833227, Time  0.237733
2021-09-16 22:22:54.698948 : Epoch 10, Batch     37, Loss  0.834285, Average Loss  0.833360, Time  0.237488
2021-09-16 22:22:57.239226 : Epoch 10, Batch     38, Loss  0.823958, Average Loss  0.833349, Time  0.237402
2021-09-16 22:22:59.787816 : Epoch 10, Batch     39, Loss  0.833171, Average Loss  0.833300, Time  0.237496
2021-09-16 22:23:02.333167 : Epoch 10, Batch     40, Loss  0.849025, Average Loss  0.833401, Time  0.237545
2021-09-16 22:23:04.885721 : Epoch 10, Batch     41, Loss  0.846074, Average Loss  0.833380, Time  0.238427
2021-09-16 22:23:07.426920 : Epoch 10, Batch     42, Loss  0.804860, Average Loss  0.833251, Time  0.237755
2021-09-16 22:23:09.971107 : Epoch 10, Batch     43, Loss  0.836569, Average Loss  0.833256, Time  0.237367
2021-09-16 22:23:12.514703 : Epoch 10, Batch     44, Loss  0.810386, Average Loss  0.833156, Time  0.237420
2021-09-16 22:23:15.051123 : Epoch 10, Batch     45, Loss  0.836056, Average Loss  0.833249, Time  0.237551
2021-09-16 22:23:17.596818 : Epoch 10, Batch     46, Loss  0.830636, Average Loss  0.833324, Time  0.237738
2021-09-16 22:23:20.143043 : Epoch 10, Batch     47, Loss  0.857175, Average Loss  0.833614, Time  0.237357
2021-09-16 22:23:22.697703 : Epoch 10, Batch     48, Loss  0.842197, Average Loss  0.833624, Time  0.238587
2021-09-16 22:23:25.248908 : Epoch 10, Batch     49, Loss  0.836904, Average Loss  0.833649, Time  0.239218
2021-09-16 22:23:27.795501 : Epoch 10, Batch     50, Loss  0.837570, Average Loss  0.833756, Time  0.237782
2021-09-16 22:23:30.338679 : Epoch 10, Batch     51, Loss  0.806593, Average Loss  0.833580, Time  0.237679
2021-09-16 22:23:32.887895 : Epoch 10, Batch     52, Loss  0.844395, Average Loss  0.833707, Time  0.237561
2021-09-16 22:23:35.435137 : Epoch 10, Batch     53, Loss  0.849105, Average Loss  0.833758, Time  0.237537
2021-09-16 22:23:37.985693 : Epoch 10, Batch     54, Loss  0.851748, Average Loss  0.833819, Time  0.237760
2021-09-16 22:23:40.518637 : Epoch 10, Batch     55, Loss  0.815613, Average Loss  0.833630, Time  0.237852
2021-09-16 22:23:43.067750 : Epoch 10, Batch     56, Loss  0.839854, Average Loss  0.833684, Time  0.237819
2021-09-16 22:23:45.611105 : Epoch 10, Batch     57, Loss  0.817237, Average Loss  0.833606, Time  0.237485
2021-09-16 22:23:48.159762 : Epoch 10, Batch     58, Loss  0.835876, Average Loss  0.833587, Time  0.238311
2021-09-16 22:23:50.714143 : Epoch 10, Batch     59, Loss  0.847213, Average Loss  0.833758, Time  0.237325
2021-09-16 22:23:53.255950 : Epoch 10, Batch     60, Loss  0.819029, Average Loss  0.833708, Time  0.237753
2021-09-16 22:23:55.798096 : Epoch 10, Batch     61, Loss  0.817023, Average Loss  0.833778, Time  0.238059
2021-09-16 22:23:58.348936 : Epoch 10, Batch     62, Loss  0.851097, Average Loss  0.833813, Time  0.237595
2021-09-16 22:24:00.894192 : Epoch 10, Batch     63, Loss  0.838083, Average Loss  0.833802, Time  0.237828
2021-09-16 22:24:03.437094 : Epoch 10, Batch     64, Loss  0.827657, Average Loss  0.833712, Time  0.237852
2021-09-16 22:24:05.987138 : Epoch 10, Batch     65, Loss  0.834064, Average Loss  0.833639, Time  0.238929
2021-09-16 22:24:08.537843 : Epoch 10, Batch     66, Loss  0.821664, Average Loss  0.833626, Time  0.237953
2021-09-16 22:24:11.083072 : Epoch 10, Batch     67, Loss  0.846632, Average Loss  0.833573, Time  0.237568
2021-09-16 22:24:13.632554 : Epoch 10, Batch     68, Loss  0.828368, Average Loss  0.833627, Time  0.237763
2021-09-16 22:24:16.180570 : Epoch 10, Batch     69, Loss  0.826696, Average Loss  0.833545, Time  0.237584
2021-09-16 22:24:18.728896 : Epoch 10, Batch     70, Loss  0.837607, Average Loss  0.833616, Time  0.237597
2021-09-16 22:24:21.350290 : Epoch 10, Batch     71, Loss  0.830689, Average Loss  0.833709, Time  0.257407
2021-09-16 22:24:23.913814 : Epoch 10, Batch     72, Loss  0.840786, Average Loss  0.833724, Time  0.238479
2021-09-16 22:24:26.476829 : Epoch 10, Batch     73, Loss  0.847146, Average Loss  0.833786, Time  0.237913
2021-09-16 22:24:29.028989 : Epoch 10, Batch     74, Loss  0.836750, Average Loss  0.833892, Time  0.238042
2021-09-16 22:24:31.594073 : Epoch 10, Batch     75, Loss  0.822651, Average Loss  0.833818, Time  0.237419
2021-09-16 22:24:34.161926 : Epoch 10, Batch     76, Loss  0.818459, Average Loss  0.833788, Time  0.237388
2021-09-16 22:24:36.709846 : Epoch 10, Batch     77, Loss  0.834624, Average Loss  0.833729, Time  0.238379
2021-09-16 22:24:39.259083 : Epoch 10, Batch     78, Loss  0.828335, Average Loss  0.833693, Time  0.237567
2021-09-16 22:24:41.830722 : Epoch 10, Batch     79, Loss  0.833952, Average Loss  0.833639, Time  0.237532
2021-09-16 22:24:44.374853 : Epoch 10, Batch     80, Loss  0.847910, Average Loss  0.833786, Time  0.237926
2021-09-16 22:24:46.941824 : Epoch 10, Batch     81, Loss  0.828300, Average Loss  0.833754, Time  0.238910
2021-09-16 22:24:49.490837 : Epoch 10, Batch     82, Loss  0.837333, Average Loss  0.833718, Time  0.237461
2021-09-16 22:24:52.058700 : Epoch 10, Batch     83, Loss  0.842697, Average Loss  0.833924, Time  0.237570
2021-09-16 22:24:54.604910 : Epoch 10, Batch     84, Loss  0.819332, Average Loss  0.833834, Time  0.237505
2021-09-16 22:24:57.143265 : Epoch 10, Batch     85, Loss  0.830918, Average Loss  0.833839, Time  0.242003
2021-09-16 22:24:59.686849 : Epoch 10, Batch     86, Loss  0.820700, Average Loss  0.833768, Time  0.237774
2021-09-16 22:25:02.236041 : Epoch 10, Batch     87, Loss  0.833154, Average Loss  0.833847, Time  0.237569
2021-09-16 22:25:04.787704 : Epoch 10, Batch     88, Loss  0.869809, Average Loss  0.834076, Time  0.237386
2021-09-16 22:25:07.343144 : Epoch 10, Batch     89, Loss  0.837774, Average Loss  0.834016, Time  0.237771
2021-09-16 22:25:09.885867 : Epoch 10, Batch     90, Loss  0.829289, Average Loss  0.833968, Time  0.237593
2021-09-16 22:25:12.430672 : Epoch 10, Batch     91, Loss  0.828411, Average Loss  0.833954, Time  0.238481
2021-09-16 22:25:14.982783 : Epoch 10, Batch     92, Loss  0.805801, Average Loss  0.833773, Time  0.238029
2021-09-16 22:25:17.535735 : Epoch 10, Batch     93, Loss  0.833714, Average Loss  0.833672, Time  0.237821
2021-09-16 22:25:20.111091 : Epoch 10, Batch     94, Loss  0.839808, Average Loss  0.833708, Time  0.237583
2021-09-16 22:25:22.662686 : Epoch 10, Batch     95, Loss  0.846109, Average Loss  0.833733, Time  0.237683
2021-09-16 22:25:25.240757 : Epoch 10, Batch     96, Loss  0.840155, Average Loss  0.833699, Time  0.238289
2021-09-16 22:29:21.156676 : CheckPoint: Validation Loss  0.00028646, Best Loss  0.00027885
2021-09-16 22:29:23.714148 : Epoch 10, Batch     97, Loss  0.843540, Average Loss  0.833833, Time  0.237634
2021-09-16 22:29:26.265919 : Epoch 10, Batch     98, Loss  0.817374, Average Loss  0.833739, Time  0.237818
2021-09-16 22:29:28.827168 : Epoch 10, Batch     99, Loss  0.855075, Average Loss  0.833891, Time  0.237736
2021-09-16 22:29:31.391774 : Epoch 10, Batch    100, Loss  0.845190, Average Loss  0.833999, Time  0.237838
2021-09-16 22:29:33.949144 : Epoch 10, Batch    101, Loss  0.829972, Average Loss  0.833849, Time  0.238247
2021-09-16 22:29:36.522239 : Epoch 10, Batch    102, Loss  0.819883, Average Loss  0.833818, Time  0.237662
2021-09-16 22:29:39.063889 : Epoch 10, Batch    103, Loss  0.833322, Average Loss  0.833892, Time  0.237679
2021-09-16 22:29:41.621012 : Epoch 10, Batch    104, Loss  0.833892, Average Loss  0.833831, Time  0.237583
2021-09-16 22:29:44.173707 : Epoch 10, Batch    105, Loss  0.831744, Average Loss  0.833793, Time  0.237329
2021-09-16 22:29:46.725138 : Epoch 10, Batch    106, Loss  0.835110, Average Loss  0.833812, Time  0.237444
2021-09-16 22:29:49.283029 : Epoch 10, Batch    107, Loss  0.830415, Average Loss  0.833865, Time  0.237327
2021-09-16 22:29:51.838908 : Epoch 10, Batch    108, Loss  0.783550, Average Loss  0.833709, Time  0.237680
2021-09-16 22:29:54.404896 : Epoch 10, Batch    109, Loss  0.830183, Average Loss  0.833589, Time  0.237284
2021-09-16 22:29:56.956014 : Epoch 10, Batch    110, Loss  0.833474, Average Loss  0.833527, Time  0.237418
2021-09-16 22:29:59.510905 : Epoch 10, Batch    111, Loss  0.812055, Average Loss  0.833426, Time  0.237613
2021-09-16 22:30:02.081042 : Epoch 10, Batch    112, Loss  0.829608, Average Loss  0.833437, Time  0.238348
2021-09-16 22:30:04.643726 : Epoch 10, Batch    113, Loss  0.847425, Average Loss  0.833498, Time  0.237694
2021-09-16 22:30:07.204340 : Epoch 10, Batch    114, Loss  0.829521, Average Loss  0.833463, Time  0.238264
2021-09-16 22:30:09.767992 : Epoch 10, Batch    115, Loss  0.839469, Average Loss  0.833541, Time  0.237589
2021-09-16 22:30:12.321994 : Epoch 10, Batch    116, Loss  0.850784, Average Loss  0.833688, Time  0.239305
2021-09-16 22:30:14.878732 : Epoch 10, Batch    117, Loss  0.862138, Average Loss  0.833825, Time  0.237781
2021-09-16 22:30:17.449716 : Epoch 10, Batch    118, Loss  0.826380, Average Loss  0.833897, Time  0.237772
2021-09-16 22:30:20.011896 : Epoch 10, Batch    119, Loss  0.851778, Average Loss  0.833930, Time  0.237302
2021-09-16 22:30:22.569826 : Epoch 10, Batch    120, Loss  0.857956, Average Loss  0.834164, Time  0.237609
2021-09-16 22:30:25.130140 : Epoch 10, Batch    121, Loss  0.831850, Average Loss  0.834142, Time  0.237821
2021-09-16 22:30:27.687937 : Epoch 10, Batch    122, Loss  0.832784, Average Loss  0.834186, Time  0.237832
2021-09-16 22:30:30.249365 : Epoch 10, Batch    123, Loss  0.826068, Average Loss  0.834104, Time  0.237677
2021-09-16 22:30:32.806684 : Epoch 10, Batch    124, Loss  0.872602, Average Loss  0.834348, Time  0.237617
2021-09-16 22:30:35.362898 : Epoch 10, Batch    125, Loss  0.839208, Average Loss  0.834268, Time  0.237468
2021-09-16 22:30:37.924974 : Epoch 10, Batch    126, Loss  0.802678, Average Loss  0.834077, Time  0.237986
2021-09-16 22:30:40.489687 : Epoch 10, Batch    127, Loss  0.818418, Average Loss  0.834046, Time  0.237336
2021-09-16 22:30:43.046679 : Epoch 10, Batch    128, Loss  0.843649, Average Loss  0.834070, Time  0.237727
2021-09-16 22:30:45.605918 : Epoch 10, Batch    129, Loss  0.831998, Average Loss  0.833990, Time  0.237616
2021-09-16 22:30:48.168971 : Epoch 10, Batch    130, Loss  0.817020, Average Loss  0.833989, Time  0.238702
2021-09-16 22:30:50.740105 : Epoch 10, Batch    131, Loss  0.838724, Average Loss  0.833993, Time  0.238226
2021-09-16 22:30:53.299958 : Epoch 10, Batch    132, Loss  0.836362, Average Loss  0.833974, Time  0.237634
2021-09-16 22:30:55.858131 : Epoch 10, Batch    133, Loss  0.848045, Average Loss  0.834013, Time  0.237477
2021-09-16 22:30:58.410956 : Epoch 10, Batch    134, Loss  0.837765, Average Loss  0.834043, Time  0.237920
2021-09-16 22:31:00.984763 : Epoch 10, Batch    135, Loss  0.849529, Average Loss  0.834167, Time  0.237643
2021-09-16 22:31:03.543256 : Epoch 10, Batch    136, Loss  0.830280, Average Loss  0.834291, Time  0.237701
2021-09-16 22:31:06.101932 : Epoch 10, Batch    137, Loss  0.843478, Average Loss  0.834350, Time  0.238009
2021-09-16 22:31:08.662944 : Epoch 10, Batch    138, Loss  0.820444, Average Loss  0.834184, Time  0.237415
2021-09-16 22:31:11.218067 : Epoch 10, Batch    139, Loss  0.828251, Average Loss  0.834095, Time  0.237595
2021-09-16 22:31:13.781168 : Epoch 10, Batch    140, Loss  0.844076, Average Loss  0.833978, Time  0.237271
2021-09-16 22:31:16.344995 : Epoch 10, Batch    141, Loss  0.831996, Average Loss  0.833955, Time  0.237714
2021-09-16 22:31:18.908697 : Epoch 10, Batch    142, Loss  0.847656, Average Loss  0.834028, Time  0.237529
2021-09-16 22:31:21.461029 : Epoch 10, Batch    143, Loss  0.817557, Average Loss  0.834082, Time  0.237653
2021-09-16 22:31:24.021915 : Epoch 10, Batch    144, Loss  0.824000, Average Loss  0.833979, Time  0.237793
2021-09-16 22:31:26.585022 : Epoch 10, Batch    145, Loss  0.814668, Average Loss  0.833886, Time  0.237545
2021-09-16 22:31:29.133698 : Epoch 10, Batch    146, Loss  0.836851, Average Loss  0.833955, Time  0.237472
2021-09-16 22:31:31.687284 : Epoch 10, Batch    147, Loss  0.831575, Average Loss  0.834039, Time  0.237776
2021-09-16 22:31:34.243128 : Epoch 10, Batch    148, Loss  0.845280, Average Loss  0.834192, Time  0.237285
2021-09-16 22:31:36.802240 : Epoch 10, Batch    149, Loss  0.827611, Average Loss  0.834207, Time  0.238121
2021-09-16 22:31:39.365971 : Epoch 10, Batch    150, Loss  0.840490, Average Loss  0.834322, Time  0.237552
2021-09-16 22:31:41.921995 : Epoch 10, Batch    151, Loss  0.835463, Average Loss  0.834281, Time  0.238538
2021-09-16 22:31:44.475950 : Epoch 10, Batch    152, Loss  0.838929, Average Loss  0.834358, Time  0.237748
2021-09-16 22:31:47.034927 : Epoch 10, Batch    153, Loss  0.860097, Average Loss  0.834415, Time  0.237621
2021-09-16 22:31:49.586855 : Epoch 10, Batch    154, Loss  0.837856, Average Loss  0.834445, Time  0.237814
2021-09-16 22:31:52.148955 : Epoch 10, Batch    155, Loss  0.838026, Average Loss  0.834440, Time  0.237522
2021-09-16 22:31:54.705895 : Epoch 10, Batch    156, Loss  0.829286, Average Loss  0.834408, Time  0.237500
2021-09-16 22:31:57.254992 : Epoch 10, Batch    157, Loss  0.837976, Average Loss  0.834517, Time  0.237949
2021-09-16 22:31:59.808710 : Epoch 10, Batch    158, Loss  0.840481, Average Loss  0.834530, Time  0.237573
2021-09-16 22:32:02.382190 : Epoch 10, Batch    159, Loss  0.817682, Average Loss  0.834470, Time  0.237617
2021-09-16 22:32:04.933907 : Epoch 10, Batch    160, Loss  0.840386, Average Loss  0.834544, Time  0.237272
2021-09-16 22:32:07.488941 : Epoch 10, Batch    161, Loss  0.828116, Average Loss  0.834525, Time  0.237653
2021-09-16 22:32:10.058664 : Epoch 10, Batch    162, Loss  0.827795, Average Loss  0.834529, Time  0.237807
2021-09-16 22:32:12.619160 : Epoch 10, Batch    163, Loss  0.834522, Average Loss  0.834516, Time  0.237253
2021-09-16 22:32:15.189891 : Epoch 10, Batch    164, Loss  0.815048, Average Loss  0.834436, Time  0.237431
2021-09-16 22:32:17.751958 : Epoch 10, Batch    165, Loss  0.834579, Average Loss  0.834468, Time  0.237465
2021-09-16 22:32:20.314167 : Epoch 10, Batch    166, Loss  0.833180, Average Loss  0.834312, Time  0.237487
2021-09-16 22:32:22.864710 : Epoch 10, Batch    167, Loss  0.859198, Average Loss  0.834458, Time  0.237575
2021-09-16 22:32:25.421778 : Epoch 10, Batch    168, Loss  0.830007, Average Loss  0.834494, Time  0.237368
2021-09-16 22:32:27.987181 : Epoch 10, Batch    169, Loss  0.848141, Average Loss  0.834549, Time  0.237558
2021-09-16 22:32:30.542154 : Epoch 10, Batch    170, Loss  0.822681, Average Loss  0.834507, Time  0.238281
2021-09-16 22:32:33.103966 : Epoch 10, Batch    171, Loss  0.852001, Average Loss  0.834607, Time  0.237426
2021-09-16 22:32:35.661987 : Epoch 10, Batch    172, Loss  0.826857, Average Loss  0.834669, Time  0.237849
2021-09-16 22:32:38.229687 : Epoch 10, Batch    173, Loss  0.809261, Average Loss  0.834567, Time  0.237581
2021-09-16 22:32:40.786316 : Epoch 10, Batch    174, Loss  0.809987, Average Loss  0.834300, Time  0.237746
2021-09-16 22:32:43.344698 : Epoch 10, Batch    175, Loss  0.814829, Average Loss  0.834196, Time  0.237304
2021-09-16 22:32:45.935992 : Epoch 10, Batch    176, Loss  0.827955, Average Loss  0.834049, Time  0.238342
2021-09-16 22:32:48.492810 : Epoch 10, Batch    177, Loss  0.820148, Average Loss  0.833905, Time  0.238292
2021-09-16 22:32:51.056862 : Epoch 10, Batch    178, Loss  0.825003, Average Loss  0.833837, Time  0.237722
2021-09-16 22:32:53.607896 : Epoch 10, Batch    179, Loss  0.833768, Average Loss  0.833962, Time  0.237620
2021-09-16 22:32:56.166870 : Epoch 10, Batch    180, Loss  0.821035, Average Loss  0.833825, Time  0.237623
2021-09-16 22:32:58.714146 : Epoch 10, Batch    181, Loss  0.836376, Average Loss  0.833899, Time  0.237363
2021-09-16 22:33:01.268967 : Epoch 10, Batch    182, Loss  0.861797, Average Loss  0.834040, Time  0.238117
2021-09-16 22:33:03.823904 : Epoch 10, Batch    183, Loss  0.837841, Average Loss  0.834028, Time  0.237360
2021-09-16 22:33:06.395060 : Epoch 10, Batch    184, Loss  0.815591, Average Loss  0.833767, Time  0.237972
2021-09-16 22:33:08.962914 : Epoch 10, Batch    185, Loss  0.820123, Average Loss  0.833752, Time  0.237814
2021-09-16 22:33:11.512715 : Epoch 10, Batch    186, Loss  0.849901, Average Loss  0.833752, Time  0.237864
2021-09-16 22:33:14.080938 : Epoch 10, Batch    187, Loss  0.804502, Average Loss  0.833595, Time  0.237590
2021-09-16 22:33:16.639776 : Epoch 10, Batch    188, Loss  0.816796, Average Loss  0.833714, Time  0.237621
2021-09-16 22:33:19.208912 : Epoch 10, Batch    189, Loss  0.800909, Average Loss  0.833488, Time  0.237561
2021-09-16 22:33:21.766763 : Epoch 10, Batch    190, Loss  0.823682, Average Loss  0.833335, Time  0.238266
2021-09-16 22:33:24.335909 : Epoch 10, Batch    191, Loss  0.835497, Average Loss  0.833271, Time  0.237490
2021-09-16 22:33:26.888931 : Epoch 10, Batch    192, Loss  0.831451, Average Loss  0.833406, Time  0.237661
2021-09-16 22:33:29.451110 : Epoch 10, Batch    193, Loss  0.819290, Average Loss  0.833328, Time  0.237452
2021-09-16 22:33:32.003930 : Epoch 10, Batch    194, Loss  0.827125, Average Loss  0.833257, Time  0.237365
2021-09-16 22:33:34.574431 : Epoch 10, Batch    195, Loss  0.823598, Average Loss  0.833298, Time  0.238165
2021-09-16 22:33:37.142875 : Epoch 10, Batch    196, Loss  0.855565, Average Loss  0.833515, Time  0.237483
2021-09-16 22:37:33.375682 : CheckPoint: Validation Loss  0.00029032, Best Loss  0.00027885
2021-09-16 22:37:35.970027 : Epoch 10, Batch    197, Loss  0.852517, Average Loss  0.833560, Time  0.269549
2021-09-16 22:37:38.520370 : Epoch 10, Batch    198, Loss  0.830088, Average Loss  0.833533, Time  0.244497
2021-09-16 22:37:41.081670 : Epoch 10, Batch    199, Loss  0.835396, Average Loss  0.833388, Time  0.237439
2021-09-16 22:37:43.643684 : Epoch 10, Batch    200, Loss  0.840791, Average Loss  0.833428, Time  0.238210
2021-09-16 22:37:46.202782 : Epoch 10, Batch    201, Loss  0.831273, Average Loss  0.833392, Time  0.237716
2021-09-16 22:37:48.751043 : Epoch 10, Batch    202, Loss  0.835127, Average Loss  0.833339, Time  0.237884
2021-09-16 22:37:51.322953 : Epoch 10, Batch    203, Loss  0.827802, Average Loss  0.833289, Time  0.237626
2021-09-16 22:37:53.885696 : Epoch 10, Batch    204, Loss  0.809503, Average Loss  0.833080, Time  0.237707
2021-09-16 22:37:56.452058 : Epoch 10, Batch    205, Loss  0.857196, Average Loss  0.833203, Time  0.237560
2021-09-16 22:37:59.012000 : Epoch 10, Batch    206, Loss  0.817608, Average Loss  0.833112, Time  0.237608
2021-09-16 22:38:01.577767 : Epoch 10, Batch    207, Loss  0.873022, Average Loss  0.833300, Time  0.237487
2021-09-16 22:38:04.128292 : Epoch 10, Batch    208, Loss  0.844252, Average Loss  0.833237, Time  0.237735
2021-09-16 22:38:06.681740 : Epoch 10, Batch    209, Loss  0.832196, Average Loss  0.833202, Time  0.237553
2021-09-16 22:38:09.245944 : Epoch 10, Batch    210, Loss  0.811034, Average Loss  0.833089, Time  0.237488
2021-09-16 22:38:11.810705 : Epoch 10, Batch    211, Loss  0.832748, Average Loss  0.833085, Time  0.237489
2021-09-16 22:38:14.388921 : Epoch 10, Batch    212, Loss  0.817157, Average Loss  0.832968, Time  0.237711
2021-09-16 22:38:16.948093 : Epoch 10, Batch    213, Loss  0.841685, Average Loss  0.832971, Time  0.237415
2021-09-16 22:38:19.508105 : Epoch 10, Batch    214, Loss  0.817782, Average Loss  0.832874, Time  0.238145
2021-09-16 22:38:22.085976 : Epoch 10, Batch    215, Loss  0.824986, Average Loss  0.832821, Time  0.237928
2021-09-16 22:38:24.655961 : Epoch 10, Batch    216, Loss  0.826921, Average Loss  0.832706, Time  0.237278
2021-09-16 22:38:27.218924 : Epoch 10, Batch    217, Loss  0.836136, Average Loss  0.832578, Time  0.238013
2021-09-16 22:38:29.788861 : Epoch 10, Batch    218, Loss  0.853319, Average Loss  0.832708, Time  0.237612
2021-09-16 22:38:32.422041 : Epoch 10, Batch    219, Loss  0.829850, Average Loss  0.832649, Time  0.238041
2021-09-16 22:38:34.980729 : Epoch 10, Batch    220, Loss  0.820677, Average Loss  0.832653, Time  0.237535
2021-09-16 22:38:37.534748 : Epoch 10, Batch    221, Loss  0.829889, Average Loss  0.832678, Time  0.237652
2021-09-16 22:38:40.087754 : Epoch 10, Batch    222, Loss  0.832667, Average Loss  0.832771, Time  0.237756
2021-09-16 22:38:42.647684 : Epoch 10, Batch    223, Loss  0.848770, Average Loss  0.832843, Time  0.237919
2021-09-16 22:38:45.224127 : Epoch 10, Batch    224, Loss  0.839106, Average Loss  0.832921, Time  0.237611
2021-09-16 22:38:47.781727 : Epoch 10, Batch    225, Loss  0.836461, Average Loss  0.832950, Time  0.237561
2021-09-16 22:38:50.327883 : Epoch 10, Batch    226, Loss  0.828708, Average Loss  0.832787, Time  0.237356
2021-09-16 22:38:52.895728 : Epoch 10, Batch    227, Loss  0.827463, Average Loss  0.832692, Time  0.237674
2021-09-16 22:38:55.447224 : Epoch 10, Batch    228, Loss  0.825789, Average Loss  0.832718, Time  0.237535
2021-09-16 22:38:58.005179 : Epoch 10, Batch    229, Loss  0.833192, Average Loss  0.832745, Time  0.237726
2021-09-16 22:39:00.559111 : Epoch 10, Batch    230, Loss  0.848026, Average Loss  0.832815, Time  0.237488
2021-09-16 22:39:03.161055 : Epoch 10, Batch    231, Loss  0.838289, Average Loss  0.832923, Time  0.237717
2021-09-16 22:39:05.721699 : Epoch 10, Batch    232, Loss  0.853343, Average Loss  0.833021, Time  0.237913
2021-09-16 22:39:08.275361 : Epoch 10, Batch    233, Loss  0.815689, Average Loss  0.833032, Time  0.237903
2021-09-16 22:39:10.836103 : Epoch 10, Batch    234, Loss  0.844670, Average Loss  0.833149, Time  0.237494
2021-09-16 22:39:13.395739 : Epoch 10, Batch    235, Loss  0.842955, Average Loss  0.833234, Time  0.237631
2021-09-16 22:39:15.956132 : Epoch 10, Batch    236, Loss  0.828202, Average Loss  0.833212, Time  0.237575
2021-09-16 22:39:18.520742 : Epoch 10, Batch    237, Loss  0.820038, Average Loss  0.833141, Time  0.238261
2021-09-16 22:39:21.100938 : Epoch 10, Batch    238, Loss  0.830459, Average Loss  0.833173, Time  0.238274
2021-09-16 22:39:23.659079 : Epoch 10, Batch    239, Loss  0.834361, Average Loss  0.833179, Time  0.237626
2021-09-16 22:39:26.209281 : Epoch 10, Batch    240, Loss  0.827868, Average Loss  0.833073, Time  0.237759
2021-09-16 22:39:28.774898 : Epoch 10, Batch    241, Loss  0.839569, Average Loss  0.833041, Time  0.237453
2021-09-16 22:39:31.326976 : Epoch 10, Batch    242, Loss  0.822063, Average Loss  0.833127, Time  0.237530
2021-09-16 22:39:33.881657 : Epoch 10, Batch    243, Loss  0.833900, Average Loss  0.833114, Time  0.237389
2021-09-16 22:39:36.447926 : Epoch 10, Batch    244, Loss  0.834654, Average Loss  0.833235, Time  0.237843
2021-09-16 22:39:39.004723 : Epoch 10, Batch    245, Loss  0.831226, Average Loss  0.833211, Time  0.238122
2021-09-16 22:39:41.556247 : Epoch 10, Batch    246, Loss  0.859145, Average Loss  0.833353, Time  0.238836
2021-09-16 22:39:44.117857 : Epoch 10, Batch    247, Loss  0.834427, Average Loss  0.833240, Time  0.238497
2021-09-16 22:39:46.674181 : Epoch 10, Batch    248, Loss  0.835351, Average Loss  0.833205, Time  0.237706
2021-09-16 22:39:49.257095 : Epoch 10, Batch    249, Loss  0.839015, Average Loss  0.833216, Time  0.237857
2021-09-16 22:39:51.826004 : Epoch 10, Batch    250, Loss  0.832597, Average Loss  0.833191, Time  0.237667
2021-09-16 22:39:54.373933 : Epoch 10, Batch    251, Loss  0.828155, Average Loss  0.833299, Time  0.237821
2021-09-16 22:39:56.932865 : Epoch 10, Batch    252, Loss  0.843986, Average Loss  0.833297, Time  0.237664
2021-09-16 22:39:59.489973 : Epoch 10, Batch    253, Loss  0.838287, Average Loss  0.833243, Time  0.237605
2021-09-16 22:40:02.054924 : Epoch 10, Batch    254, Loss  0.845655, Average Loss  0.833212, Time  0.237563
2021-09-16 22:40:04.625748 : Epoch 10, Batch    255, Loss  0.816638, Average Loss  0.833217, Time  0.238377
2021-09-16 22:40:07.189197 : Epoch 10, Batch    256, Loss  0.842277, Average Loss  0.833229, Time  0.237704
2021-09-16 22:40:09.750254 : Epoch 10, Batch    257, Loss  0.839995, Average Loss  0.833343, Time  0.237737
2021-09-16 22:40:12.315727 : Epoch 10, Batch    258, Loss  0.842805, Average Loss  0.833378, Time  0.237575
2021-09-16 22:40:14.906732 : Epoch 10, Batch    259, Loss  0.831580, Average Loss  0.833300, Time  0.237875
2021-09-16 22:40:17.497214 : Epoch 10, Batch    260, Loss  0.840026, Average Loss  0.833405, Time  0.237586
2021-09-16 22:40:20.079080 : Epoch 10, Batch    261, Loss  0.818120, Average Loss  0.833410, Time  0.237605
2021-09-16 22:40:22.665019 : Epoch 10, Batch    262, Loss  0.819188, Average Loss  0.833251, Time  0.238222
2021-09-16 22:40:25.252911 : Epoch 10, Batch    263, Loss  0.824746, Average Loss  0.833184, Time  0.237583
2021-09-16 22:40:27.856790 : Epoch 10, Batch    264, Loss  0.824356, Average Loss  0.833167, Time  0.237851
2021-09-16 22:40:30.444102 : Epoch 10, Batch    265, Loss  0.831085, Average Loss  0.833153, Time  0.237526
2021-09-16 22:40:33.029905 : Epoch 10, Batch    266, Loss  0.816526, Average Loss  0.833127, Time  0.237896
2021-09-16 22:40:35.622206 : Epoch 10, Batch    267, Loss  0.835810, Average Loss  0.833073, Time  0.237425
2021-09-16 22:40:38.209928 : Epoch 10, Batch    268, Loss  0.849687, Average Loss  0.833179, Time  0.237747
2021-09-16 22:40:40.799471 : Epoch 10, Batch    269, Loss  0.815146, Average Loss  0.833122, Time  0.237987
2021-09-16 22:40:43.386683 : Epoch 10, Batch    270, Loss  0.810929, Average Loss  0.832988, Time  0.237763
2021-09-16 22:40:45.965851 : Epoch 10, Batch    271, Loss  0.833349, Average Loss  0.833002, Time  0.237767
2021-09-16 22:40:48.562997 : Epoch 10, Batch    272, Loss  0.831000, Average Loss  0.832953, Time  0.237450
2021-09-16 22:40:51.146113 : Epoch 10, Batch    273, Loss  0.830096, Average Loss  0.832867, Time  0.237544
2021-09-16 22:40:53.729213 : Epoch 10, Batch    274, Loss  0.834999, Average Loss  0.832859, Time  0.237614
2021-09-16 22:40:56.322985 : Epoch 10, Batch    275, Loss  0.834822, Average Loss  0.832919, Time  0.237159
2021-09-16 22:40:58.912036 : Epoch 10, Batch    276, Loss  0.825502, Average Loss  0.832955, Time  0.237480
2021-09-16 22:41:01.501898 : Epoch 10, Batch    277, Loss  0.827649, Average Loss  0.832920, Time  0.237190
2021-09-16 22:41:04.083147 : Epoch 10, Batch    278, Loss  0.837837, Average Loss  0.832967, Time  0.237435
2021-09-16 22:41:06.662760 : Epoch 10, Batch    279, Loss  0.836281, Average Loss  0.832979, Time  0.237668
2021-09-16 22:41:09.253936 : Epoch 10, Batch    280, Loss  0.843925, Average Loss  0.832959, Time  0.237722
2021-09-16 22:41:11.839874 : Epoch 10, Batch    281, Loss  0.837623, Average Loss  0.833006, Time  0.238293
2021-09-16 22:41:14.428913 : Epoch 10, Batch    282, Loss  0.820245, Average Loss  0.832920, Time  0.237385
2021-09-16 22:41:17.021714 : Epoch 10, Batch    283, Loss  0.867131, Average Loss  0.833042, Time  0.237907
2021-09-16 22:41:19.607021 : Epoch 10, Batch    284, Loss  0.839009, Average Loss  0.833141, Time  0.237785
2021-09-16 22:41:22.192044 : Epoch 10, Batch    285, Loss  0.834433, Average Loss  0.833158, Time  0.238312
2021-09-16 22:41:24.770936 : Epoch 10, Batch    286, Loss  0.834507, Average Loss  0.833227, Time  0.237351
2021-09-16 22:41:27.372956 : Epoch 10, Batch    287, Loss  0.834401, Average Loss  0.833234, Time  0.237440
2021-09-16 22:41:29.968853 : Epoch 10, Batch    288, Loss  0.845084, Average Loss  0.833110, Time  0.238025
2021-09-16 22:41:32.559108 : Epoch 10, Batch    289, Loss  0.839869, Average Loss  0.833120, Time  0.237832
2021-09-16 22:41:35.148905 : Epoch 10, Batch    290, Loss  0.846711, Average Loss  0.833208, Time  0.237510
2021-09-16 22:41:37.731955 : Epoch 10, Batch    291, Loss  0.849919, Average Loss  0.833315, Time  0.237776
2021-09-16 22:41:40.315455 : Epoch 10, Batch    292, Loss  0.853009, Average Loss  0.833551, Time  0.237644
2021-09-16 22:41:42.900855 : Epoch 10, Batch    293, Loss  0.859791, Average Loss  0.833681, Time  0.237749
2021-09-16 22:41:45.502914 : Epoch 10, Batch    294, Loss  0.811973, Average Loss  0.833542, Time  0.237595
2021-09-16 22:41:48.090865 : Epoch 10, Batch    295, Loss  0.828354, Average Loss  0.833454, Time  0.237544
2021-09-16 22:41:56.668892 : Epoch 10, Batch    296, Loss  0.843072, Average Loss  0.833468, Time  0.276954
2021-09-16 22:45:52.404674 : CheckPoint: Validation Loss  0.00028271, Best Loss  0.00027885
2021-09-16 22:45:54.966872 : Epoch 10, Batch    297, Loss  0.839092, Average Loss  0.833446, Time  0.237654
2021-09-16 22:45:57.545124 : Epoch 10, Batch    298, Loss  0.827884, Average Loss  0.833498, Time  0.237782
2021-09-16 22:46:00.130940 : Epoch 10, Batch    299, Loss  0.820248, Average Loss  0.833324, Time  0.238050
2021-09-16 22:46:02.717952 : Epoch 10, Batch    300, Loss  0.842336, Average Loss  0.833310, Time  0.237595
2021-09-16 22:46:05.304717 : Epoch 10, Batch    301, Loss  0.850589, Average Loss  0.833413, Time  0.237370
2021-09-16 22:46:07.893681 : Epoch 10, Batch    302, Loss  0.827567, Average Loss  0.833452, Time  0.237476
2021-09-16 22:46:10.484217 : Epoch 10, Batch    303, Loss  0.815354, Average Loss  0.833362, Time  0.238059
2021-09-16 22:46:13.067214 : Epoch 10, Batch    304, Loss  0.838544, Average Loss  0.833385, Time  0.238571
2021-09-16 22:46:15.643128 : Epoch 10, Batch    305, Loss  0.837818, Average Loss  0.833415, Time  0.237553
2021-09-16 22:46:18.231686 : Epoch 10, Batch    306, Loss  0.827757, Average Loss  0.833379, Time  0.237755
2021-09-16 22:46:20.814666 : Epoch 10, Batch    307, Loss  0.841061, Average Loss  0.833432, Time  0.237532
2021-09-16 22:46:23.386266 : Epoch 10, Batch    308, Loss  0.839245, Average Loss  0.833710, Time  0.237708
2021-09-16 22:46:25.972748 : Epoch 10, Batch    309, Loss  0.847362, Average Loss  0.833796, Time  0.237839
2021-09-16 22:46:28.559983 : Epoch 10, Batch    310, Loss  0.828932, Average Loss  0.833773, Time  0.237872
2021-09-16 22:46:31.146955 : Epoch 10, Batch    311, Loss  0.826890, Average Loss  0.833848, Time  0.237482
2021-09-16 22:46:33.728687 : Epoch 10, Batch    312, Loss  0.830495, Average Loss  0.833852, Time  0.237683
2021-09-16 22:46:36.315758 : Epoch 10, Batch    313, Loss  0.821837, Average Loss  0.833724, Time  0.237758
2021-09-16 22:46:38.905708 : Epoch 10, Batch    314, Loss  0.859110, Average Loss  0.833872, Time  0.237957
2021-09-16 22:46:41.482990 : Epoch 10, Batch    315, Loss  0.820097, Average Loss  0.833775, Time  0.237949
2021-09-16 22:46:44.071707 : Epoch 10, Batch    316, Loss  0.851644, Average Loss  0.833780, Time  0.238060
2021-09-16 22:46:46.662669 : Epoch 10, Batch    317, Loss  0.819276, Average Loss  0.833565, Time  0.238054
2021-09-16 22:46:49.247992 : Epoch 10, Batch    318, Loss  0.853589, Average Loss  0.833701, Time  0.237515
2021-09-16 22:46:51.829859 : Epoch 10, Batch    319, Loss  0.851113, Average Loss  0.833698, Time  0.237319
2021-09-16 22:46:54.418825 : Epoch 10, Batch    320, Loss  0.816691, Average Loss  0.833492, Time  0.238297
2021-09-16 22:46:56.992871 : Epoch 10, Batch    321, Loss  0.813689, Average Loss  0.833401, Time  0.237720
2021-09-16 22:46:59.575679 : Epoch 10, Batch    322, Loss  0.847611, Average Loss  0.833475, Time  0.237610
2021-09-16 22:47:02.169945 : Epoch 10, Batch    323, Loss  0.799028, Average Loss  0.833340, Time  0.237998
2021-09-16 22:47:04.748932 : Epoch 10, Batch    324, Loss  0.832829, Average Loss  0.833141, Time  0.237424
2021-09-16 22:47:07.324904 : Epoch 10, Batch    325, Loss  0.835340, Average Loss  0.833122, Time  0.237727
2021-09-16 22:47:09.905075 : Epoch 10, Batch    326, Loss  0.843659, Average Loss  0.833326, Time  0.237279
2021-09-16 22:47:12.480946 : Epoch 10, Batch    327, Loss  0.835705, Average Loss  0.833413, Time  0.237504
2021-09-16 22:47:15.068185 : Epoch 10, Batch    328, Loss  0.828595, Average Loss  0.833338, Time  0.237626
2021-09-16 22:47:17.637872 : Epoch 10, Batch    329, Loss  0.824937, Average Loss  0.833302, Time  0.237911
2021-09-16 22:47:20.211594 : Epoch 10, Batch    330, Loss  0.824698, Average Loss  0.833341, Time  0.237581
2021-09-16 22:47:22.793925 : Epoch 10, Batch    331, Loss  0.830718, Average Loss  0.833301, Time  0.238082
2021-09-16 22:47:25.374741 : Epoch 10, Batch    332, Loss  0.832383, Average Loss  0.833281, Time  0.237418
2021-09-16 22:47:27.947195 : Epoch 10, Batch    333, Loss  0.818328, Average Loss  0.833132, Time  0.237434
2021-09-16 22:47:30.527260 : Epoch 10, Batch    334, Loss  0.840538, Average Loss  0.833146, Time  0.237653
2021-09-16 22:47:33.106337 : Epoch 10, Batch    335, Loss  0.797058, Average Loss  0.832884, Time  0.238088
2021-09-16 22:47:35.681249 : Epoch 10, Batch    336, Loss  0.825948, Average Loss  0.832862, Time  0.237670
2021-09-16 22:47:38.268977 : Epoch 10, Batch    337, Loss  0.818870, Average Loss  0.832739, Time  0.237708
2021-09-16 22:47:40.857878 : Epoch 10, Batch    338, Loss  0.832756, Average Loss  0.832801, Time  0.237584
2021-09-16 22:47:43.441938 : Epoch 10, Batch    339, Loss  0.834433, Average Loss  0.832831, Time  0.237349
2021-09-16 22:47:46.034936 : Epoch 10, Batch    340, Loss  0.824296, Average Loss  0.832733, Time  0.237759
2021-09-16 22:47:48.624706 : Epoch 10, Batch    341, Loss  0.830390, Average Loss  0.832725, Time  0.238345
2021-09-16 22:47:51.210942 : Epoch 10, Batch    342, Loss  0.831969, Average Loss  0.832646, Time  0.237909
2021-09-16 22:47:53.790209 : Epoch 10, Batch    343, Loss  0.838793, Average Loss  0.832752, Time  0.237909
2021-09-16 22:47:56.377699 : Epoch 10, Batch    344, Loss  0.844657, Average Loss  0.832856, Time  0.238667
2021-09-16 22:47:58.964892 : Epoch 10, Batch    345, Loss  0.846444, Average Loss  0.833014, Time  0.237636
2021-09-16 22:48:01.545921 : Epoch 10, Batch    346, Loss  0.819619, Average Loss  0.832928, Time  0.237680
2021-09-16 22:48:04.149689 : Epoch 10, Batch    347, Loss  0.818688, Average Loss  0.832864, Time  0.239434
2021-09-16 22:48:06.756093 : Epoch 10, Batch    348, Loss  0.824816, Average Loss  0.832762, Time  0.237464
2021-09-16 22:48:09.343332 : Epoch 10, Batch    349, Loss  0.843791, Average Loss  0.832842, Time  0.238164
2021-09-16 22:48:11.921938 : Epoch 10, Batch    350, Loss  0.819098, Average Loss  0.832735, Time  0.237630
2021-09-16 22:48:14.506130 : Epoch 10, Batch    351, Loss  0.822663, Average Loss  0.832671, Time  0.237710
2021-09-16 22:48:17.089750 : Epoch 10, Batch    352, Loss  0.817060, Average Loss  0.832562, Time  0.238445
2021-09-16 22:48:19.676802 : Epoch 10, Batch    353, Loss  0.818388, Average Loss  0.832354, Time  0.237695
2021-09-16 22:48:22.262939 : Epoch 10, Batch    354, Loss  0.830658, Average Loss  0.832318, Time  0.238000
2021-09-16 22:48:24.840988 : Epoch 10, Batch    355, Loss  0.826432, Average Loss  0.832260, Time  0.237684
2021-09-16 22:48:27.421792 : Epoch 10, Batch    356, Loss  0.797649, Average Loss  0.832101, Time  0.237602
2021-09-16 22:48:30.010669 : Epoch 10, Batch    357, Loss  0.846027, Average Loss  0.832142, Time  0.237721
2021-09-16 22:48:32.600216 : Epoch 10, Batch    358, Loss  0.824713, Average Loss  0.832063, Time  0.237936
2021-09-16 22:48:35.181947 : Epoch 10, Batch    359, Loss  0.815381, Average Loss  0.832051, Time  0.237329
2021-09-16 22:48:37.772758 : Epoch 10, Batch    360, Loss  0.828796, Average Loss  0.831993, Time  0.237720
2021-09-16 22:48:40.352684 : Epoch 10, Batch    361, Loss  0.852283, Average Loss  0.832114, Time  0.237814
2021-09-16 22:48:42.930933 : Epoch 10, Batch    362, Loss  0.841192, Average Loss  0.832181, Time  0.238009
2021-09-16 22:48:45.509921 : Epoch 10, Batch    363, Loss  0.833409, Average Loss  0.832176, Time  0.237521
2021-09-16 22:48:48.097852 : Epoch 10, Batch    364, Loss  0.834376, Average Loss  0.832272, Time  0.237655
2021-09-16 22:48:50.671041 : Epoch 10, Batch    365, Loss  0.850050, Average Loss  0.832350, Time  0.237502
2021-09-16 22:48:53.233108 : Epoch 10, Batch    366, Loss  0.830607, Average Loss  0.832337, Time  0.237380
2021-09-16 22:48:55.814209 : Epoch 10, Batch    367, Loss  0.844605, Average Loss  0.832264, Time  0.238325
2021-09-16 22:48:58.401911 : Epoch 10, Batch    368, Loss  0.838975, Average Loss  0.832309, Time  0.237680
2021-09-16 22:49:00.978298 : Epoch 10, Batch    369, Loss  0.836336, Average Loss  0.832250, Time  0.237915
2021-09-16 22:49:03.546168 : Epoch 10, Batch    370, Loss  0.833779, Average Loss  0.832305, Time  0.237475
2021-09-16 22:49:06.119902 : Epoch 10, Batch    371, Loss  0.834198, Average Loss  0.832216, Time  0.237745
2021-09-16 22:49:08.724928 : Epoch 10, Batch    372, Loss  0.839849, Average Loss  0.832281, Time  0.237674
2021-09-16 22:49:11.305117 : Epoch 10, Batch    373, Loss  0.826389, Average Loss  0.832367, Time  0.237677
2021-09-16 22:49:13.876869 : Epoch 10, Batch    374, Loss  0.814537, Average Loss  0.832389, Time  0.237555
2021-09-16 22:49:16.477873 : Epoch 10, Batch    375, Loss  0.823833, Average Loss  0.832434, Time  0.237364
2021-09-16 22:49:19.047999 : Epoch 10, Batch    376, Loss  0.837730, Average Loss  0.832483, Time  0.237422
2021-09-16 22:49:21.631714 : Epoch 10, Batch    377, Loss  0.862933, Average Loss  0.832697, Time  0.237916
2021-09-16 22:49:24.210920 : Epoch 10, Batch    378, Loss  0.820173, Average Loss  0.832673, Time  0.239173
2021-09-16 22:49:26.782753 : Epoch 10, Batch    379, Loss  0.844211, Average Loss  0.832725, Time  0.237155
2021-09-16 22:49:29.360859 : Epoch 10, Batch    380, Loss  0.824510, Average Loss  0.832743, Time  0.237610
2021-09-16 22:49:31.933494 : Epoch 10, Batch    381, Loss  0.854713, Average Loss  0.832834, Time  0.237552
2021-09-16 22:49:34.507080 : Epoch 10, Batch    382, Loss  0.842360, Average Loss  0.832737, Time  0.237624
2021-09-16 22:49:37.079880 : Epoch 10, Batch    383, Loss  0.845642, Average Loss  0.832776, Time  0.237829
2021-09-16 22:49:39.661747 : Epoch 10, Batch    384, Loss  0.829737, Average Loss  0.832847, Time  0.237357
2021-09-16 22:49:42.238894 : Epoch 10, Batch    385, Loss  0.834375, Average Loss  0.832918, Time  0.237378
2021-09-16 22:49:44.816783 : Epoch 10, Batch    386, Loss  0.834196, Average Loss  0.832840, Time  0.237367
2021-09-16 22:49:47.410088 : Epoch 10, Batch    387, Loss  0.839494, Average Loss  0.833015, Time  0.238065
2021-09-16 22:49:49.976700 : Epoch 10, Batch    388, Loss  0.823325, Average Loss  0.833047, Time  0.237464
2021-09-16 22:49:52.547705 : Epoch 10, Batch    389, Loss  0.841246, Average Loss  0.833249, Time  0.238152
2021-09-16 22:49:55.129783 : Epoch 10, Batch    390, Loss  0.833635, Average Loss  0.833299, Time  0.238432
2021-09-16 22:49:57.707927 : Epoch 10, Batch    391, Loss  0.832446, Average Loss  0.833283, Time  0.237635
2021-09-16 22:50:00.287712 : Epoch 10, Batch    392, Loss  0.826766, Average Loss  0.833260, Time  0.238075
2021-09-16 22:50:02.869680 : Epoch 10, Batch    393, Loss  0.816014, Average Loss  0.833244, Time  0.237970
2021-09-16 22:50:05.498707 : Epoch 10, Batch    394, Loss  0.834364, Average Loss  0.833280, Time  0.237917
2021-09-16 22:50:08.072212 : Epoch 10, Batch    395, Loss  0.839011, Average Loss  0.833357, Time  0.237732
2021-09-16 22:50:10.655147 : Epoch 10, Batch    396, Loss  0.832072, Average Loss  0.833239, Time  0.237629
2021-09-16 22:54:06.274703 : CheckPoint: Validation Loss  0.00028912, Best Loss  0.00027885
2021-09-16 22:54:08.834983 : Epoch 10, Batch    397, Loss  0.822993, Average Loss  0.833092, Time  0.237553
2021-09-16 22:54:11.419098 : Epoch 10, Batch    398, Loss  0.844899, Average Loss  0.833166, Time  0.237442
2021-09-16 22:54:13.996893 : Epoch 10, Batch    399, Loss  0.837173, Average Loss  0.833175, Time  0.237607
2021-09-16 22:54:16.578195 : Epoch 10, Batch    400, Loss  0.851274, Average Loss  0.833227, Time  0.237639
2021-09-16 22:54:19.161967 : Epoch 10, Batch    401, Loss  0.825749, Average Loss  0.833200, Time  0.237592
2021-09-16 22:54:21.748191 : Epoch 10, Batch    402, Loss  0.826040, Average Loss  0.833154, Time  0.237514
2021-09-16 22:54:24.334371 : Epoch 10, Batch    403, Loss  0.821018, Average Loss  0.833120, Time  0.237845
2021-09-16 22:54:26.917686 : Epoch 10, Batch    404, Loss  0.788639, Average Loss  0.833016, Time  0.237549
2021-09-16 22:54:29.499446 : Epoch 10, Batch    405, Loss  0.811270, Average Loss  0.832786, Time  0.238174
2021-09-16 22:54:32.072932 : Epoch 10, Batch    406, Loss  0.829133, Average Loss  0.832844, Time  0.237918
2021-09-16 22:54:34.649701 : Epoch 10, Batch    407, Loss  0.821088, Average Loss  0.832584, Time  0.237644
2021-09-16 22:54:37.257687 : Epoch 10, Batch    408, Loss  0.839739, Average Loss  0.832562, Time  0.237873
2021-09-16 22:54:39.846060 : Epoch 10, Batch    409, Loss  0.822835, Average Loss  0.832515, Time  0.238627
2021-09-16 22:54:42.431007 : Epoch 10, Batch    410, Loss  0.841874, Average Loss  0.832669, Time  0.238058
2021-09-16 22:54:45.030644 : Epoch 10, Batch    411, Loss  0.836567, Average Loss  0.832688, Time  0.237815
2021-09-16 22:54:47.643752 : Epoch 10, Batch    412, Loss  0.817844, Average Loss  0.832692, Time  0.237977
2021-09-16 22:54:50.231177 : Epoch 10, Batch    413, Loss  0.839826, Average Loss  0.832682, Time  0.237399
2021-09-16 22:54:52.842875 : Epoch 10, Batch    414, Loss  0.846271, Average Loss  0.832825, Time  0.237922
2021-09-16 22:54:55.433725 : Epoch 10, Batch    415, Loss  0.810690, Average Loss  0.832753, Time  0.237467
2021-09-16 22:54:58.016960 : Epoch 10, Batch    416, Loss  0.841219, Average Loss  0.832825, Time  0.237850
2021-09-16 22:55:00.602776 : Epoch 10, Batch    417, Loss  0.830274, Average Loss  0.832795, Time  0.237956
2021-09-16 22:55:03.180978 : Epoch 10, Batch    418, Loss  0.825253, Average Loss  0.832655, Time  0.237377
2021-09-16 22:55:05.766904 : Epoch 10, Batch    419, Loss  0.830126, Average Loss  0.832656, Time  0.237797
2021-09-16 22:55:08.345862 : Epoch 10, Batch    420, Loss  0.823141, Average Loss  0.832669, Time  0.237820
2021-09-16 22:55:10.921178 : Epoch 10, Batch    421, Loss  0.823330, Average Loss  0.832636, Time  0.237369
2021-09-16 22:55:13.492529 : Epoch 10, Batch    422, Loss  0.811132, Average Loss  0.832528, Time  0.237600
2021-09-16 22:55:16.081268 : Epoch 10, Batch    423, Loss  0.854739, Average Loss  0.832558, Time  0.237725
2021-09-16 22:55:18.667688 : Epoch 10, Batch    424, Loss  0.843005, Average Loss  0.832578, Time  0.237603
2021-09-16 22:55:21.248287 : Epoch 10, Batch    425, Loss  0.840481, Average Loss  0.832598, Time  0.237388
2021-09-16 22:55:23.833227 : Epoch 10, Batch    426, Loss  0.844708, Average Loss  0.832678, Time  0.237330
2021-09-16 22:55:26.430754 : Epoch 10, Batch    427, Loss  0.847609, Average Loss  0.832778, Time  0.238033
2021-09-16 22:55:29.021959 : Epoch 10, Batch    428, Loss  0.840006, Average Loss  0.832850, Time  0.237740
2021-09-16 22:55:31.597031 : Epoch 10, Batch    429, Loss  0.827062, Average Loss  0.832819, Time  0.238447
2021-09-16 22:55:34.181243 : Epoch 10, Batch    430, Loss  0.840819, Average Loss  0.832783, Time  0.237635
2021-09-16 22:55:36.759022 : Epoch 10, Batch    431, Loss  0.847543, Average Loss  0.832829, Time  0.237449
2021-09-16 22:55:39.346516 : Epoch 10, Batch    432, Loss  0.833991, Average Loss  0.832732, Time  0.238226
2021-09-16 22:55:41.928193 : Epoch 10, Batch    433, Loss  0.826456, Average Loss  0.832786, Time  0.237422
2021-09-16 22:55:44.507708 : Epoch 10, Batch    434, Loss  0.850245, Average Loss  0.832814, Time  0.237814
2021-09-16 22:55:47.092671 : Epoch 10, Batch    435, Loss  0.830962, Average Loss  0.832754, Time  0.237680
2021-09-16 22:55:49.692073 : Epoch 10, Batch    436, Loss  0.819435, Average Loss  0.832710, Time  0.237529
2021-09-16 22:55:52.270030 : Epoch 10, Batch    437, Loss  0.847863, Average Loss  0.832849, Time  0.237487
2021-09-16 22:55:54.883027 : Epoch 10, Batch    438, Loss  0.832727, Average Loss  0.832861, Time  0.237857
2021-09-16 22:55:57.453997 : Epoch 10, Batch    439, Loss  0.814666, Average Loss  0.832762, Time  0.238032
2021-09-16 22:56:00.061687 : Epoch 10, Batch    440, Loss  0.807226, Average Loss  0.832659, Time  0.237816
2021-09-16 22:56:02.647179 : Epoch 10, Batch    441, Loss  0.837515, Average Loss  0.832649, Time  0.237355
2021-09-16 22:56:05.255103 : Epoch 10, Batch    442, Loss  0.823455, Average Loss  0.832656, Time  0.237446
2021-09-16 22:56:07.834167 : Epoch 10, Batch    443, Loss  0.828191, Average Loss  0.832627, Time  0.237461
2021-09-16 22:56:10.415757 : Epoch 10, Batch    444, Loss  0.827338, Average Loss  0.832591, Time  0.237434
2021-09-16 22:56:13.004834 : Epoch 10, Batch    445, Loss  0.837522, Average Loss  0.832622, Time  0.238115
2021-09-16 22:56:15.583327 : Epoch 10, Batch    446, Loss  0.811291, Average Loss  0.832383, Time  0.237643
2021-09-16 22:56:18.180289 : Epoch 10, Batch    447, Loss  0.817811, Average Loss  0.832300, Time  0.237640
2021-09-16 22:56:20.757716 : Epoch 10, Batch    448, Loss  0.836612, Average Loss  0.832306, Time  0.237560
2021-09-16 22:56:23.343968 : Epoch 10, Batch    449, Loss  0.826381, Average Loss  0.832243, Time  0.237984
2021-09-16 22:56:25.934752 : Epoch 10, Batch    450, Loss  0.832926, Average Loss  0.832245, Time  0.237791
2021-09-16 22:56:28.516958 : Epoch 10, Batch    451, Loss  0.852321, Average Loss  0.832365, Time  0.238165
2021-09-16 22:56:31.113776 : Epoch 10, Batch    452, Loss  0.842601, Average Loss  0.832358, Time  0.237999
2021-09-16 22:56:33.698481 : Epoch 10, Batch    453, Loss  0.829288, Average Loss  0.832314, Time  0.238162
2021-09-16 22:56:36.293955 : Epoch 10, Batch    454, Loss  0.827504, Average Loss  0.832223, Time  0.238795
2021-09-16 22:56:38.874759 : Epoch 10, Batch    455, Loss  0.841804, Average Loss  0.832349, Time  0.237617
2021-09-16 22:56:41.455025 : Epoch 10, Batch    456, Loss  0.833031, Average Loss  0.832302, Time  0.237761
2021-09-16 22:56:44.032945 : Epoch 10, Batch    457, Loss  0.841262, Average Loss  0.832309, Time  0.237423
2021-09-16 22:56:46.610580 : Epoch 10, Batch    458, Loss  0.836830, Average Loss  0.832279, Time  0.237671
2021-09-16 22:56:49.193984 : Epoch 10, Batch    459, Loss  0.827209, Average Loss  0.832257, Time  0.237524
2021-09-16 22:56:51.787193 : Epoch 10, Batch    460, Loss  0.824030, Average Loss  0.832177, Time  0.237861
2021-09-16 22:56:54.368757 : Epoch 10, Batch    461, Loss  0.846652, Average Loss  0.832320, Time  0.237410
2021-09-16 22:56:56.951058 : Epoch 10, Batch    462, Loss  0.830761, Average Loss  0.832378, Time  0.237362
2021-09-16 22:56:59.532118 : Epoch 10, Batch    463, Loss  0.829745, Average Loss  0.832402, Time  0.237719
2021-09-16 22:57:02.124090 : Epoch 10, Batch    464, Loss  0.841414, Average Loss  0.832488, Time  0.237966
2021-09-16 22:57:04.703027 : Epoch 10, Batch    465, Loss  0.815000, Average Loss  0.832407, Time  0.237681
2021-09-16 22:57:07.287671 : Epoch 10, Batch    466, Loss  0.856257, Average Loss  0.832606, Time  0.237385
2021-09-16 22:57:09.877968 : Epoch 10, Batch    467, Loss  0.829070, Average Loss  0.832572, Time  0.238047
2021-09-16 22:57:12.472705 : Epoch 10, Batch    468, Loss  0.832521, Average Loss  0.832486, Time  0.237936
2021-09-16 22:57:15.054935 : Epoch 10, Batch    469, Loss  0.824050, Average Loss  0.832531, Time  0.237463
2021-09-16 22:57:17.635487 : Epoch 10, Batch    470, Loss  0.820613, Average Loss  0.832579, Time  0.238072
2021-09-16 22:57:20.232760 : Epoch 10, Batch    471, Loss  0.838619, Average Loss  0.832606, Time  0.237666
2021-09-16 22:57:22.817922 : Epoch 10, Batch    472, Loss  0.833620, Average Loss  0.832619, Time  0.238706
2021-09-16 22:57:25.403942 : Epoch 10, Batch    473, Loss  0.823742, Average Loss  0.832587, Time  0.237417
2021-09-16 22:57:27.985949 : Epoch 10, Batch    474, Loss  0.814513, Average Loss  0.832485, Time  0.237687
2021-09-16 22:57:30.568761 : Epoch 10, Batch    475, Loss  0.815743, Average Loss  0.832389, Time  0.238207
2021-09-16 22:57:33.151985 : Epoch 10, Batch    476, Loss  0.846308, Average Loss  0.832493, Time  0.238193
2021-09-16 22:57:35.741936 : Epoch 10, Batch    477, Loss  0.834480, Average Loss  0.832527, Time  0.237942
2021-09-16 22:57:38.331927 : Epoch 10, Batch    478, Loss  0.846624, Average Loss  0.832571, Time  0.237994
2021-09-16 22:57:40.919695 : Epoch 10, Batch    479, Loss  0.808550, Average Loss  0.832433, Time  0.238072
2021-09-16 22:57:43.500121 : Epoch 10, Batch    480, Loss  0.839109, Average Loss  0.832409, Time  0.237651
2021-09-16 22:57:46.077016 : Epoch 10, Batch    481, Loss  0.840528, Average Loss  0.832423, Time  0.237975
2021-09-16 22:57:48.655682 : Epoch 10, Batch    482, Loss  0.812152, Average Loss  0.832383, Time  0.238224
2021-09-16 22:57:51.273174 : Epoch 10, Batch    483, Loss  0.857308, Average Loss  0.832334, Time  0.237780
2021-09-16 22:57:53.854054 : Epoch 10, Batch    484, Loss  0.827634, Average Loss  0.832277, Time  0.237756
2021-09-16 22:57:56.440952 : Epoch 10, Batch    485, Loss  0.838843, Average Loss  0.832299, Time  0.237465
2021-09-16 22:57:59.021018 : Epoch 10, Batch    486, Loss  0.848736, Average Loss  0.832370, Time  0.237742
2021-09-16 22:58:01.611055 : Epoch 10, Batch    487, Loss  0.829130, Average Loss  0.832344, Time  0.237736
2021-09-16 22:58:04.200944 : Epoch 10, Batch    488, Loss  0.822412, Average Loss  0.832230, Time  0.237609
2021-09-16 22:58:06.790181 : Epoch 10, Batch    489, Loss  0.847956, Average Loss  0.832271, Time  0.237611
2021-09-16 22:58:09.378032 : Epoch 10, Batch    490, Loss  0.830246, Average Loss  0.832188, Time  0.237403
2021-09-16 22:58:11.974072 : Epoch 10, Batch    491, Loss  0.836144, Average Loss  0.832119, Time  0.238754
2021-09-16 22:58:14.576680 : Epoch 10, Batch    492, Loss  0.841374, Average Loss  0.832061, Time  0.237810
2021-09-16 22:58:17.160151 : Epoch 10, Batch    493, Loss  0.811569, Average Loss  0.831820, Time  0.237823
2021-09-16 22:58:19.745699 : Epoch 10, Batch    494, Loss  0.834278, Average Loss  0.831932, Time  0.237740
2021-09-16 22:58:22.326992 : Epoch 10, Batch    495, Loss  0.850495, Average Loss  0.832042, Time  0.237982
2021-09-16 22:58:24.908732 : Epoch 10, Batch    496, Loss  0.835777, Average Loss  0.832006, Time  0.237721
2021-09-16 23:02:20.627679 : CheckPoint: Validation Loss  0.00028206, Best Loss  0.00027885
2021-09-16 23:02:23.173675 : Epoch 10, Batch    497, Loss  0.816714, Average Loss  0.831894, Time  0.237695
2021-09-16 23:02:25.727915 : Epoch 10, Batch    498, Loss  0.827686, Average Loss  0.831893, Time  0.238260
2021-09-16 23:02:28.275940 : Epoch 10, Batch    499, Loss  0.843918, Average Loss  0.832011, Time  0.238638
2021-09-16 23:02:30.824083 : Epoch 10, Batch    500, Loss  0.818585, Average Loss  0.831893, Time  0.237284
2021-09-16 23:02:33.379761 : Epoch 10, Batch    501, Loss  0.825106, Average Loss  0.831765, Time  0.237442
2021-09-16 23:02:35.932093 : Epoch 10, Batch    502, Loss  0.825962, Average Loss  0.831757, Time  0.237645
2021-09-16 23:02:38.486126 : Epoch 10, Batch    503, Loss  0.836787, Average Loss  0.831864, Time  0.237461
2021-09-16 23:02:41.042818 : Epoch 10, Batch    504, Loss  0.811079, Average Loss  0.831727, Time  0.237536
2021-09-16 23:02:43.591917 : Epoch 10, Batch    505, Loss  0.845311, Average Loss  0.831764, Time  0.237410
2021-09-16 23:02:46.144898 : Epoch 10, Batch    506, Loss  0.824129, Average Loss  0.831746, Time  0.237453
2021-09-16 23:02:48.677974 : Epoch 10, Batch    507, Loss  0.817320, Average Loss  0.831628, Time  0.237512
2021-09-16 23:02:51.230861 : Epoch 10, Batch    508, Loss  0.846593, Average Loss  0.831664, Time  0.237371
2021-09-16 23:02:53.779929 : Epoch 10, Batch    509, Loss  0.814701, Average Loss  0.831501, Time  0.238345
2021-09-16 23:02:56.329022 : Epoch 10, Batch    510, Loss  0.826152, Average Loss  0.831487, Time  0.237610
2021-09-16 23:02:58.881091 : Epoch 10, Batch    511, Loss  0.821821, Average Loss  0.831462, Time  0.237427
2021-09-16 23:03:01.435104 : Epoch 10, Batch    512, Loss  0.816942, Average Loss  0.831394, Time  0.237878
2021-09-16 23:03:03.994082 : Epoch 10, Batch    513, Loss  0.830084, Average Loss  0.831435, Time  0.237521
2021-09-16 23:03:06.545848 : Epoch 10, Batch    514, Loss  0.819006, Average Loss  0.831235, Time  0.237374
2021-09-16 23:03:09.101943 : Epoch 10, Batch    515, Loss  0.835647, Average Loss  0.831313, Time  0.238708
2021-09-16 23:03:11.669118 : Epoch 10, Batch    516, Loss  0.816056, Average Loss  0.831135, Time  0.237534
2021-09-16 23:03:14.218897 : Epoch 10, Batch    517, Loss  0.838435, Average Loss  0.831230, Time  0.237695
2021-09-16 23:03:16.772103 : Epoch 10, Batch    518, Loss  0.832702, Average Loss  0.831126, Time  0.237458
2021-09-16 23:03:19.322569 : Epoch 10, Batch    519, Loss  0.832070, Average Loss  0.831031, Time  0.237542
2021-09-16 23:03:21.870844 : Epoch 10, Batch    520, Loss  0.839625, Average Loss  0.831145, Time  0.237919
2021-09-16 23:03:24.430911 : Epoch 10, Batch    521, Loss  0.848021, Average Loss  0.831317, Time  0.238349
2021-09-16 23:03:26.993223 : Epoch 10, Batch    522, Loss  0.831466, Average Loss  0.831236, Time  0.237784
2021-09-16 23:03:29.545930 : Epoch 10, Batch    523, Loss  0.834604, Average Loss  0.831414, Time  0.237531
2021-09-16 23:03:32.120248 : Epoch 10, Batch    524, Loss  0.835903, Average Loss  0.831430, Time  0.237895
2021-09-16 23:03:34.669878 : Epoch 10, Batch    525, Loss  0.835122, Average Loss  0.831428, Time  0.237617
2021-09-16 23:03:37.229940 : Epoch 10, Batch    526, Loss  0.844295, Average Loss  0.831432, Time  0.237918
2021-09-16 23:03:39.786731 : Epoch 10, Batch    527, Loss  0.820694, Average Loss  0.831357, Time  0.237613
2021-09-16 23:03:42.367920 : Epoch 10, Batch    528, Loss  0.843640, Average Loss  0.831432, Time  0.237599
2021-09-16 23:03:44.920943 : Epoch 10, Batch    529, Loss  0.858430, Average Loss  0.831599, Time  0.237639
2021-09-16 23:03:47.475803 : Epoch 10, Batch    530, Loss  0.836421, Average Loss  0.831658, Time  0.237528
2021-09-16 23:03:50.022916 : Epoch 10, Batch    531, Loss  0.812224, Average Loss  0.831565, Time  0.237527
2021-09-16 23:03:52.572141 : Epoch 10, Batch    532, Loss  0.824699, Average Loss  0.831527, Time  0.237764
2021-09-16 23:03:55.123695 : Epoch 10, Batch    533, Loss  0.832229, Average Loss  0.831597, Time  0.237908
2021-09-16 23:03:57.683890 : Epoch 10, Batch    534, Loss  0.819447, Average Loss  0.831491, Time  0.237701
2021-09-16 23:04:00.230743 : Epoch 10, Batch    535, Loss  0.827675, Average Loss  0.831644, Time  0.237833
2021-09-16 23:04:02.786704 : Epoch 10, Batch    536, Loss  0.825357, Average Loss  0.831641, Time  0.237313
2021-09-16 23:04:05.346683 : Epoch 10, Batch    537, Loss  0.831569, Average Loss  0.831705, Time  0.237845
2021-09-16 23:04:07.899867 : Epoch 10, Batch    538, Loss  0.813689, Average Loss  0.831609, Time  0.237900
2021-09-16 23:04:10.493170 : Epoch 10, Batch    539, Loss  0.818944, Average Loss  0.831532, Time  0.237963
2021-09-16 23:04:13.041114 : Epoch 10, Batch    540, Loss  0.839927, Average Loss  0.831610, Time  0.237388
2021-09-16 23:04:15.606921 : Epoch 10, Batch    541, Loss  0.850519, Average Loss  0.831711, Time  0.237885
2021-09-16 23:04:18.161684 : Epoch 10, Batch    542, Loss  0.814683, Average Loss  0.831624, Time  0.237672
2021-09-16 23:04:20.715656 : Epoch 10, Batch    543, Loss  0.834127, Average Loss  0.831601, Time  0.237505
2021-09-16 23:04:23.270901 : Epoch 10, Batch    544, Loss  0.847452, Average Loss  0.831615, Time  0.237385
2021-09-16 23:04:25.827666 : Epoch 10, Batch    545, Loss  0.859147, Average Loss  0.831678, Time  0.237400
2021-09-16 23:04:28.382873 : Epoch 10, Batch    546, Loss  0.840395, Average Loss  0.831782, Time  0.237843
2021-09-16 23:04:30.937993 : Epoch 10, Batch    547, Loss  0.822042, Average Loss  0.831799, Time  0.237615
2021-09-16 23:04:33.490112 : Epoch 10, Batch    548, Loss  0.846194, Average Loss  0.831906, Time  0.237301
2021-09-16 23:04:36.035875 : Epoch 10, Batch    549, Loss  0.823840, Average Loss  0.831806, Time  0.237530
2021-09-16 23:04:38.586103 : Epoch 10, Batch    550, Loss  0.860846, Average Loss  0.832015, Time  0.237201
2021-09-16 23:04:41.140177 : Epoch 10, Batch    551, Loss  0.848076, Average Loss  0.832142, Time  0.237563
2021-09-16 23:04:43.695062 : Epoch 10, Batch    552, Loss  0.825147, Average Loss  0.832183, Time  0.237411
2021-09-16 23:04:46.252104 : Epoch 10, Batch    553, Loss  0.816185, Average Loss  0.832171, Time  0.237429
2021-09-16 23:04:48.804801 : Epoch 10, Batch    554, Loss  0.818468, Average Loss  0.832111, Time  0.237632
2021-09-16 23:04:51.358141 : Epoch 10, Batch    555, Loss  0.829552, Average Loss  0.832126, Time  0.237683
2021-09-16 23:04:53.908007 : Epoch 10, Batch    556, Loss  0.828892, Average Loss  0.832282, Time  0.237396
2021-09-16 23:04:56.466690 : Epoch 10, Batch    557, Loss  0.839293, Average Loss  0.832249, Time  0.237450
2021-09-16 23:04:59.016896 : Epoch 10, Batch    558, Loss  0.804855, Average Loss  0.832149, Time  0.237347
2021-09-16 23:05:01.580747 : Epoch 10, Batch    559, Loss  0.821308, Average Loss  0.832179, Time  0.238408
2021-09-16 23:05:04.134280 : Epoch 10, Batch    560, Loss  0.830807, Average Loss  0.832189, Time  0.237899
2021-09-16 23:05:06.684894 : Epoch 10, Batch    561, Loss  0.842842, Average Loss  0.832142, Time  0.237284
2021-09-16 23:05:09.244093 : Epoch 10, Batch    562, Loss  0.815828, Average Loss  0.832015, Time  0.238223
2021-09-16 23:05:11.802940 : Epoch 10, Batch    563, Loss  0.819849, Average Loss  0.831947, Time  0.237755
2021-09-16 23:05:14.356927 : Epoch 10, Batch    564, Loss  0.860857, Average Loss  0.832080, Time  0.237928
2021-09-16 23:05:16.948708 : Epoch 10, Batch    565, Loss  0.832914, Average Loss  0.831994, Time  0.237836
2021-09-16 23:05:19.506212 : Epoch 10, Batch    566, Loss  0.816002, Average Loss  0.831921, Time  0.237767
2021-09-16 23:05:22.055166 : Epoch 10, Batch    567, Loss  0.825899, Average Loss  0.831827, Time  0.237665
2021-09-16 23:05:24.607965 : Epoch 10, Batch    568, Loss  0.830353, Average Loss  0.831784, Time  0.237580
2021-09-16 23:05:27.165674 : Epoch 10, Batch    569, Loss  0.835127, Average Loss  0.831778, Time  0.237653
2021-09-16 23:05:29.724677 : Epoch 10, Batch    570, Loss  0.822924, Average Loss  0.831724, Time  0.237755
2021-09-16 23:05:32.280948 : Epoch 10, Batch    571, Loss  0.819003, Average Loss  0.831648, Time  0.237382
2021-09-16 23:05:34.833946 : Epoch 10, Batch    572, Loss  0.842130, Average Loss  0.831659, Time  0.238005
2021-09-16 23:05:37.388019 : Epoch 10, Batch    573, Loss  0.841671, Average Loss  0.831736, Time  0.237579
2021-09-16 23:05:39.938887 : Epoch 10, Batch    574, Loss  0.842593, Average Loss  0.831876, Time  0.238117
2021-09-16 23:05:42.500909 : Epoch 10, Batch    575, Loss  0.834252, Average Loss  0.831928, Time  0.237717
2021-09-16 23:05:45.057697 : Epoch 10, Batch    576, Loss  0.822931, Average Loss  0.831854, Time  0.237987
2021-09-16 23:05:47.618890 : Epoch 10, Batch    577, Loss  0.839328, Average Loss  0.831736, Time  0.237625
2021-09-16 23:05:50.170151 : Epoch 10, Batch    578, Loss  0.822490, Average Loss  0.831748, Time  0.237671
2021-09-16 23:05:52.719170 : Epoch 10, Batch    579, Loss  0.845150, Average Loss  0.831752, Time  0.237381
2021-09-16 23:05:55.270893 : Epoch 10, Batch    580, Loss  0.828577, Average Loss  0.831773, Time  0.237487
2021-09-16 23:05:57.826937 : Epoch 10, Batch    581, Loss  0.845396, Average Loss  0.831726, Time  0.237443
2021-09-16 23:06:00.384786 : Epoch 10, Batch    582, Loss  0.843871, Average Loss  0.831734, Time  0.237967
2021-09-16 23:06:02.935902 : Epoch 10, Batch    583, Loss  0.846181, Average Loss  0.831736, Time  0.237783
2021-09-16 23:06:05.483688 : Epoch 10, Batch    584, Loss  0.833235, Average Loss  0.831754, Time  0.237704
2021-09-16 23:06:08.038025 : Epoch 10, Batch    585, Loss  0.820129, Average Loss  0.831683, Time  0.237698
2021-09-16 23:06:10.600798 : Epoch 10, Batch    586, Loss  0.813616, Average Loss  0.831580, Time  0.238339
2021-09-16 23:06:13.150191 : Epoch 10, Batch    587, Loss  0.835561, Average Loss  0.831560, Time  0.237683
2021-09-16 23:06:15.705960 : Epoch 10, Batch    588, Loss  0.817801, Average Loss  0.831533, Time  0.237571
2021-09-16 23:06:18.259122 : Epoch 10, Batch    589, Loss  0.837589, Average Loss  0.831514, Time  0.237522
2021-09-16 23:06:20.819751 : Epoch 10, Batch    590, Loss  0.831555, Average Loss  0.831504, Time  0.237864
2021-09-16 23:06:23.375761 : Epoch 10, Batch    591, Loss  0.841509, Average Loss  0.831549, Time  0.238141
2021-09-16 23:06:25.931742 : Epoch 10, Batch    592, Loss  0.843657, Average Loss  0.831634, Time  0.237688
2021-09-16 23:06:28.489116 : Epoch 10, Batch    593, Loss  0.845963, Average Loss  0.831783, Time  0.237669
2021-09-16 23:06:31.047691 : Epoch 10, Batch    594, Loss  0.806682, Average Loss  0.831645, Time  0.238157
2021-09-16 23:06:33.606677 : Epoch 10, Batch    595, Loss  0.822660, Average Loss  0.831563, Time  0.238600
2021-09-16 23:06:36.162087 : Epoch 10, Batch    596, Loss  0.828375, Average Loss  0.831545, Time  0.237619
2021-09-16 23:10:30.660682 : CheckPoint: Validation Loss  0.00028911, Best Loss  0.00027885
2021-09-16 23:10:33.203371 : Epoch 10, Batch    597, Loss  0.837552, Average Loss  0.831618, Time  0.237683
2021-09-16 23:10:35.759924 : Epoch 10, Batch    598, Loss  0.819933, Average Loss  0.831493, Time  0.237598
2021-09-16 23:10:38.327842 : Epoch 10, Batch    599, Loss  0.836610, Average Loss  0.831490, Time  0.237658
2021-09-16 23:10:40.883828 : Epoch 10, Batch    600, Loss  0.836161, Average Loss  0.831414, Time  0.237799
2021-09-16 23:10:43.449719 : Epoch 10, Batch    601, Loss  0.839297, Average Loss  0.831482, Time  0.243221
2021-09-16 23:10:46.009768 : Epoch 10, Batch    602, Loss  0.833625, Average Loss  0.831520, Time  0.238194
2021-09-16 23:10:48.569007 : Epoch 10, Batch    603, Loss  0.787990, Average Loss  0.831355, Time  0.237428
2021-09-16 23:10:51.124937 : Epoch 10, Batch    604, Loss  0.804772, Average Loss  0.831436, Time  0.237676
2021-09-16 23:10:53.688758 : Epoch 10, Batch    605, Loss  0.832653, Average Loss  0.831542, Time  0.237824
2021-09-16 23:10:56.240927 : Epoch 10, Batch    606, Loss  0.808404, Average Loss  0.831439, Time  0.237499
2021-09-16 23:10:58.799692 : Epoch 10, Batch    607, Loss  0.818826, Average Loss  0.831427, Time  0.237457
2021-09-16 23:11:01.347238 : Epoch 10, Batch    608, Loss  0.835734, Average Loss  0.831407, Time  0.237951
2021-09-16 23:11:03.892920 : Epoch 10, Batch    609, Loss  0.841794, Average Loss  0.831502, Time  0.237388
2021-09-16 23:11:06.445675 : Epoch 10, Batch    610, Loss  0.825106, Average Loss  0.831418, Time  0.237451
2021-09-16 23:11:09.006926 : Epoch 10, Batch    611, Loss  0.834669, Average Loss  0.831409, Time  0.237239
2021-09-16 23:11:11.560109 : Epoch 10, Batch    612, Loss  0.811696, Average Loss  0.831378, Time  0.237796
2021-09-16 23:11:14.113245 : Epoch 10, Batch    613, Loss  0.838363, Average Loss  0.831371, Time  0.237575
2021-09-16 23:11:16.663972 : Epoch 10, Batch    614, Loss  0.842699, Average Loss  0.831353, Time  0.237646
2021-09-16 23:11:19.228082 : Epoch 10, Batch    615, Loss  0.830861, Average Loss  0.831454, Time  0.237575
2021-09-16 23:11:21.782886 : Epoch 10, Batch    616, Loss  0.825568, Average Loss  0.831376, Time  0.237921
2021-09-16 23:11:24.350678 : Epoch 10, Batch    617, Loss  0.851760, Average Loss  0.831483, Time  0.238374
2021-09-16 23:11:26.904894 : Epoch 10, Batch    618, Loss  0.809213, Average Loss  0.831403, Time  0.238203
2021-09-16 23:11:29.461676 : Epoch 10, Batch    619, Loss  0.823210, Average Loss  0.831368, Time  0.237727
2021-09-16 23:11:32.036932 : Epoch 10, Batch    620, Loss  0.841482, Average Loss  0.831460, Time  0.237719
2021-09-16 23:11:34.591924 : Epoch 10, Batch    621, Loss  0.829870, Average Loss  0.831493, Time  0.238529
2021-09-16 23:11:37.149239 : Epoch 10, Batch    622, Loss  0.815424, Average Loss  0.831514, Time  0.237782
2021-09-16 23:11:39.701990 : Epoch 10, Batch    623, Loss  0.822470, Average Loss  0.831353, Time  0.237701
2021-09-16 23:11:42.264172 : Epoch 10, Batch    624, Loss  0.824933, Average Loss  0.831262, Time  0.237417
2021-09-16 23:11:44.823988 : Epoch 10, Batch    625, Loss  0.831720, Average Loss  0.831219, Time  0.237689
2021-09-16 23:11:47.377952 : Epoch 10, Batch    626, Loss  0.836188, Average Loss  0.831176, Time  0.237671
2021-09-16 23:11:49.928918 : Epoch 10, Batch    627, Loss  0.826853, Average Loss  0.831072, Time  0.237541
2021-09-16 23:11:52.481745 : Epoch 10, Batch    628, Loss  0.851908, Average Loss  0.831132, Time  0.237575
2021-09-16 23:11:55.034706 : Epoch 10, Batch    629, Loss  0.841008, Average Loss  0.831201, Time  0.237606
2021-09-16 23:11:57.592014 : Epoch 10, Batch    630, Loss  0.818175, Average Loss  0.831088, Time  0.237500
2021-09-16 23:12:00.141073 : Epoch 10, Batch    631, Loss  0.845816, Average Loss  0.831080, Time  0.237955
2021-09-16 23:12:02.699737 : Epoch 10, Batch    632, Loss  0.849424, Average Loss  0.831157, Time  0.237641
2021-09-16 23:12:05.268979 : Epoch 10, Batch    633, Loss  0.842416, Average Loss  0.831237, Time  0.237612
2021-09-16 23:12:07.832000 : Epoch 10, Batch    634, Loss  0.838784, Average Loss  0.831179, Time  0.237584
2021-09-16 23:12:10.386943 : Epoch 10, Batch    635, Loss  0.818076, Average Loss  0.831115, Time  0.238688
2021-09-16 23:12:12.941059 : Epoch 10, Batch    636, Loss  0.815363, Average Loss  0.831094, Time  0.237697
2021-09-16 23:12:15.495847 : Epoch 10, Batch    637, Loss  0.833461, Average Loss  0.831022, Time  0.237485
2021-09-16 23:12:18.094965 : Epoch 10, Batch    638, Loss  0.816170, Average Loss  0.830940, Time  0.237678
2021-09-16 23:12:20.648917 : Epoch 10, Batch    639, Loss  0.824367, Average Loss  0.830988, Time  0.237433
2021-09-16 23:12:23.213139 : Epoch 10, Batch    640, Loss  0.805817, Average Loss  0.830981, Time  0.237442
2021-09-16 23:12:25.763297 : Epoch 10, Batch    641, Loss  0.822079, Average Loss  0.830904, Time  0.238018
2021-09-16 23:12:28.324728 : Epoch 10, Batch    642, Loss  0.839833, Average Loss  0.830986, Time  0.237636
2021-09-16 23:12:30.911316 : Epoch 10, Batch    643, Loss  0.840002, Average Loss  0.831045, Time  0.238258
2021-09-16 23:12:33.473720 : Epoch 10, Batch    644, Loss  0.832009, Average Loss  0.831068, Time  0.238441
2021-09-16 23:12:36.034035 : Epoch 10, Batch    645, Loss  0.813210, Average Loss  0.830947, Time  0.238930
2021-09-16 23:12:38.592750 : Epoch 10, Batch    646, Loss  0.835578, Average Loss  0.831068, Time  0.237340
2021-09-16 23:12:41.146279 : Epoch 10, Batch    647, Loss  0.808280, Average Loss  0.831020, Time  0.237782
2021-09-16 23:12:43.697667 : Epoch 10, Batch    648, Loss  0.821676, Average Loss  0.830946, Time  0.237649
2021-09-16 23:12:46.260296 : Epoch 10, Batch    649, Loss  0.837363, Average Loss  0.831001, Time  0.238046
2021-09-16 23:12:48.819719 : Epoch 10, Batch    650, Loss  0.840957, Average Loss  0.831041, Time  0.237478
2021-09-16 23:12:51.376176 : Epoch 10, Batch    651, Loss  0.824166, Average Loss  0.830900, Time  0.238176
2021-09-16 23:12:53.930933 : Epoch 10, Batch    652, Loss  0.828035, Average Loss  0.830827, Time  0.237328
2021-09-16 23:12:56.487076 : Epoch 10, Batch    653, Loss  0.826019, Average Loss  0.830811, Time  0.238111
2021-09-16 23:12:59.055994 : Epoch 10, Batch    654, Loss  0.842985, Average Loss  0.830888, Time  0.237281
2021-09-16 23:13:01.626887 : Epoch 10, Batch    655, Loss  0.814561, Average Loss  0.830752, Time  0.237807
2021-09-16 23:13:04.180808 : Epoch 10, Batch    656, Loss  0.803962, Average Loss  0.830607, Time  0.237561
2021-09-16 23:13:06.740089 : Epoch 10, Batch    657, Loss  0.816998, Average Loss  0.830485, Time  0.237752
2021-09-16 23:13:09.304050 : Epoch 10, Batch    658, Loss  0.841067, Average Loss  0.830507, Time  0.237515
2021-09-16 23:13:11.858103 : Epoch 10, Batch    659, Loss  0.829703, Average Loss  0.830519, Time  0.237515
2021-09-16 23:13:14.422724 : Epoch 10, Batch    660, Loss  0.845210, Average Loss  0.830625, Time  0.237730
2021-09-16 23:13:16.997936 : Epoch 10, Batch    661, Loss  0.841780, Average Loss  0.830601, Time  0.237743
2021-09-16 23:13:19.561693 : Epoch 10, Batch    662, Loss  0.813252, Average Loss  0.830513, Time  0.237795
2021-09-16 23:13:22.118925 : Epoch 10, Batch    663, Loss  0.811066, Average Loss  0.830420, Time  0.237415
2021-09-16 23:13:24.674037 : Epoch 10, Batch    664, Loss  0.837158, Average Loss  0.830398, Time  0.237420
2021-09-16 23:13:27.264631 : Epoch 10, Batch    665, Loss  0.839976, Average Loss  0.830523, Time  0.237422
2021-09-16 23:13:29.821870 : Epoch 10, Batch    666, Loss  0.819820, Average Loss  0.830341, Time  0.238314
2021-09-16 23:13:32.376971 : Epoch 10, Batch    667, Loss  0.844286, Average Loss  0.830417, Time  0.238758
2021-09-16 23:13:34.937923 : Epoch 10, Batch    668, Loss  0.854069, Average Loss  0.830525, Time  0.237564
2021-09-16 23:13:37.499040 : Epoch 10, Batch    669, Loss  0.839051, Average Loss  0.830600, Time  0.238189
2021-09-16 23:13:40.055924 : Epoch 10, Batch    670, Loss  0.838988, Average Loss  0.830692, Time  0.237481
2021-09-16 23:13:42.617136 : Epoch 10, Batch    671, Loss  0.844158, Average Loss  0.830720, Time  0.237910
2021-09-16 23:13:45.186099 : Epoch 10, Batch    672, Loss  0.839018, Average Loss  0.830747, Time  0.237611
2021-09-16 23:13:47.747658 : Epoch 10, Batch    673, Loss  0.837152, Average Loss  0.830814, Time  0.238442
2021-09-16 23:13:50.305804 : Epoch 10, Batch    674, Loss  0.833013, Average Loss  0.830906, Time  0.237643
2021-09-16 23:13:52.862112 : Epoch 10, Batch    675, Loss  0.840119, Average Loss  0.831028, Time  0.237609
2021-09-16 23:13:55.416038 : Epoch 10, Batch    676, Loss  0.844586, Average Loss  0.831019, Time  0.237833
2021-09-16 23:13:57.977209 : Epoch 10, Batch    677, Loss  0.836607, Average Loss  0.831030, Time  0.237673
2021-09-16 23:14:00.534949 : Epoch 10, Batch    678, Loss  0.830124, Average Loss  0.830947, Time  0.237428
2021-09-16 23:14:03.091033 : Epoch 10, Batch    679, Loss  0.838139, Average Loss  0.831095, Time  0.237660
2021-09-16 23:14:05.636038 : Epoch 10, Batch    680, Loss  0.819360, Average Loss  0.830997, Time  0.238025
2021-09-16 23:14:08.203701 : Epoch 10, Batch    681, Loss  0.853174, Average Loss  0.831060, Time  0.237877
2021-09-16 23:14:10.755115 : Epoch 10, Batch    682, Loss  0.838051, Average Loss  0.831189, Time  0.237575
2021-09-16 23:14:13.305952 : Epoch 10, Batch    683, Loss  0.823821, Average Loss  0.831022, Time  0.237658
2021-09-16 23:14:15.857824 : Epoch 10, Batch    684, Loss  0.833081, Average Loss  0.831049, Time  0.237975
2021-09-16 23:14:18.417694 : Epoch 10, Batch    685, Loss  0.840932, Average Loss  0.831060, Time  0.237526
2021-09-16 23:14:20.974111 : Epoch 10, Batch    686, Loss  0.822435, Average Loss  0.830928, Time  0.237900
2021-09-16 23:14:23.517847 : Epoch 10, Batch    687, Loss  0.841708, Average Loss  0.830991, Time  0.237646
2021-09-16 23:14:26.071213 : Epoch 10, Batch    688, Loss  0.832703, Average Loss  0.831042, Time  0.237618
2021-09-16 23:14:28.628723 : Epoch 10, Batch    689, Loss  0.831512, Average Loss  0.830960, Time  0.237528
2021-09-16 23:14:31.181962 : Epoch 10, Batch    690, Loss  0.837252, Average Loss  0.830995, Time  0.237691
2021-09-16 23:14:33.732713 : Epoch 10, Batch    691, Loss  0.840625, Average Loss  0.831018, Time  0.237514
2021-09-16 23:14:36.286257 : Epoch 10, Batch    692, Loss  0.811862, Average Loss  0.830870, Time  0.238394
2021-09-16 23:14:38.844706 : Epoch 10, Batch    693, Loss  0.823669, Average Loss  0.830931, Time  0.237751
2021-09-16 23:14:41.392095 : Epoch 10, Batch    694, Loss  0.824862, Average Loss  0.830884, Time  0.237524
2021-09-16 23:14:43.942685 : Epoch 10, Batch    695, Loss  0.828683, Average Loss  0.830775, Time  0.237679
2021-09-16 23:14:46.498014 : Epoch 10, Batch    696, Loss  0.813887, Average Loss  0.830665, Time  0.238007
2021-09-16 23:18:42.331682 : CheckPoint: Validation Loss  0.00029040, Best Loss  0.00027885
2021-09-16 23:18:44.925852 : Epoch 10, Batch    697, Loss  0.827194, Average Loss  0.830717, Time  0.267138
2021-09-16 23:18:47.511959 : Epoch 10, Batch    698, Loss  0.816881, Average Loss  0.830663, Time  0.242907
2021-09-16 23:18:50.086652 : Epoch 10, Batch    699, Loss  0.848855, Average Loss  0.830688, Time  0.237517
2021-09-16 23:18:52.673803 : Epoch 10, Batch    700, Loss  0.827564, Average Loss  0.830733, Time  0.237662
2021-09-16 23:18:55.250663 : Epoch 10, Batch    701, Loss  0.823847, Average Loss  0.830727, Time  0.237796
2021-09-16 23:18:57.830997 : Epoch 10, Batch    702, Loss  0.831846, Average Loss  0.830756, Time  0.237617
2021-09-16 23:19:00.412985 : Epoch 10, Batch    703, Loss  0.823094, Average Loss  0.830688, Time  0.238728
2021-09-16 23:19:03.004906 : Epoch 10, Batch    704, Loss  0.807973, Average Loss  0.830672, Time  0.240359
2021-09-16 23:19:05.587158 : Epoch 10, Batch    705, Loss  0.832379, Average Loss  0.830607, Time  0.238083
2021-09-16 23:19:08.155438 : Epoch 10, Batch    706, Loss  0.819147, Average Loss  0.830583, Time  0.237551
2021-09-16 23:19:10.734661 : Epoch 10, Batch    707, Loss  0.828069, Average Loss  0.830636, Time  0.237610
2021-09-16 23:19:13.309906 : Epoch 10, Batch    708, Loss  0.841890, Average Loss  0.830613, Time  0.238156
2021-09-16 23:19:15.895660 : Epoch 10, Batch    709, Loss  0.833539, Average Loss  0.830707, Time  0.237677
2021-09-16 23:19:18.490059 : Epoch 10, Batch    710, Loss  0.828170, Average Loss  0.830717, Time  0.237765
2021-09-16 23:19:21.071916 : Epoch 10, Batch    711, Loss  0.824636, Average Loss  0.830731, Time  0.237494
2021-09-16 23:19:23.647285 : Epoch 10, Batch    712, Loss  0.820689, Average Loss  0.830750, Time  0.238537
2021-09-16 23:19:26.222680 : Epoch 10, Batch    713, Loss  0.818541, Average Loss  0.830692, Time  0.237425
2021-09-16 23:19:28.807191 : Epoch 10, Batch    714, Loss  0.834751, Average Loss  0.830771, Time  0.237768
2021-09-16 23:19:31.385676 : Epoch 10, Batch    715, Loss  0.840045, Average Loss  0.830793, Time  0.237449
2021-09-16 23:19:33.973980 : Epoch 10, Batch    716, Loss  0.821613, Average Loss  0.830821, Time  0.238330
2021-09-16 23:19:36.550003 : Epoch 10, Batch    717, Loss  0.827780, Average Loss  0.830767, Time  0.237530
2021-09-16 23:19:39.126983 : Epoch 10, Batch    718, Loss  0.843601, Average Loss  0.830822, Time  0.238728
2021-09-16 23:19:41.734297 : Epoch 10, Batch    719, Loss  0.845108, Average Loss  0.830887, Time  0.237779
2021-09-16 23:19:44.360823 : Epoch 10, Batch    720, Loss  0.830253, Average Loss  0.830840, Time  0.237570
2021-09-16 23:19:46.942782 : Epoch 10, Batch    721, Loss  0.830433, Average Loss  0.830752, Time  0.237623
2021-09-16 23:19:49.523125 : Epoch 10, Batch    722, Loss  0.842258, Average Loss  0.830806, Time  0.237651
2021-09-16 23:19:52.108530 : Epoch 10, Batch    723, Loss  0.866879, Average Loss  0.830968, Time  0.237996
2021-09-16 23:19:54.686342 : Epoch 10, Batch    724, Loss  0.854707, Average Loss  0.831062, Time  0.237810
2021-09-16 23:19:57.258193 : Epoch 10, Batch    725, Loss  0.839246, Average Loss  0.831082, Time  0.237355
2021-09-16 23:19:59.857052 : Epoch 10, Batch    726, Loss  0.821396, Average Loss  0.830968, Time  0.238025
2021-09-16 23:20:02.431008 : Epoch 10, Batch    727, Loss  0.850741, Average Loss  0.831118, Time  0.237210
2021-09-16 23:20:05.009469 : Epoch 10, Batch    728, Loss  0.836143, Average Loss  0.831081, Time  0.238136
2021-09-16 23:20:07.615993 : Epoch 10, Batch    729, Loss  0.849531, Average Loss  0.831036, Time  0.237311
2021-09-16 23:20:10.192006 : Epoch 10, Batch    730, Loss  0.835372, Average Loss  0.831031, Time  0.237308
2021-09-16 23:20:12.776063 : Epoch 10, Batch    731, Loss  0.828738, Average Loss  0.831113, Time  0.237820
2021-09-16 23:20:15.350935 : Epoch 10, Batch    732, Loss  0.850298, Average Loss  0.831241, Time  0.238878
2021-09-16 23:20:17.924943 : Epoch 10, Batch    733, Loss  0.835504, Average Loss  0.831258, Time  0.238245
2021-09-16 23:20:20.501136 : Epoch 10, Batch    734, Loss  0.832393, Average Loss  0.831322, Time  0.237445
2021-09-16 23:20:23.089331 : Epoch 10, Batch    735, Loss  0.829407, Average Loss  0.831331, Time  0.238484
2021-09-16 23:20:25.661016 : Epoch 10, Batch    736, Loss  0.825260, Average Loss  0.831331, Time  0.237812
2021-09-16 23:20:28.234770 : Epoch 10, Batch    737, Loss  0.871679, Average Loss  0.831531, Time  0.238169
2021-09-16 23:20:30.810297 : Epoch 10, Batch    738, Loss  0.820082, Average Loss  0.831563, Time  0.237434
2021-09-16 23:20:33.392962 : Epoch 10, Batch    739, Loss  0.829520, Average Loss  0.831616, Time  0.237512
2021-09-16 23:20:35.970724 : Epoch 10, Batch    740, Loss  0.826188, Average Loss  0.831547, Time  0.237353
2021-09-16 23:20:38.552435 : Epoch 10, Batch    741, Loss  0.833588, Average Loss  0.831463, Time  0.237592
2021-09-16 23:20:41.128819 : Epoch 10, Batch    742, Loss  0.817239, Average Loss  0.831475, Time  0.237813
2021-09-16 23:20:43.713699 : Epoch 10, Batch    743, Loss  0.812661, Average Loss  0.831368, Time  0.237823
2021-09-16 23:20:46.291728 : Epoch 10, Batch    744, Loss  0.818686, Average Loss  0.831224, Time  0.237505
2021-09-16 23:20:48.871664 : Epoch 10, Batch    745, Loss  0.840234, Average Loss  0.831130, Time  0.237973
2021-09-16 23:20:51.448950 : Epoch 10, Batch    746, Loss  0.828740, Average Loss  0.831071, Time  0.237628
2021-09-16 23:20:54.027007 : Epoch 10, Batch    747, Loss  0.839079, Average Loss  0.831157, Time  0.237454
2021-09-16 23:20:56.604781 : Epoch 10, Batch    748, Loss  0.827895, Average Loss  0.831065, Time  0.237847
2021-09-16 23:20:59.180165 : Epoch 10, Batch    749, Loss  0.836617, Average Loss  0.831129, Time  0.237359
2021-09-16 23:21:01.757931 : Epoch 10, Batch    750, Loss  0.817683, Average Loss  0.830913, Time  0.237239
2021-09-16 23:21:04.342145 : Epoch 10, Batch    751, Loss  0.841278, Average Loss  0.830879, Time  0.237391
2021-09-16 23:21:06.927991 : Epoch 10, Batch    752, Loss  0.841024, Average Loss  0.830959, Time  0.237580
2021-09-16 23:21:09.505968 : Epoch 10, Batch    753, Loss  0.822704, Average Loss  0.830991, Time  0.237987
2021-09-16 23:21:12.077192 : Epoch 10, Batch    754, Loss  0.831972, Average Loss  0.831059, Time  0.237325
2021-09-16 23:21:14.660731 : Epoch 10, Batch    755, Loss  0.808574, Average Loss  0.830954, Time  0.240468
2021-09-16 23:21:17.243949 : Epoch 10, Batch    756, Loss  0.830194, Average Loss  0.830960, Time  0.238117
2021-09-16 23:21:19.822923 : Epoch 10, Batch    757, Loss  0.836558, Average Loss  0.830947, Time  0.237613
2021-09-16 23:21:22.403235 : Epoch 10, Batch    758, Loss  0.805626, Average Loss  0.830950, Time  0.237694
2021-09-16 23:21:24.977015 : Epoch 10, Batch    759, Loss  0.807911, Average Loss  0.830884, Time  0.237755
2021-09-16 23:21:27.547341 : Epoch 10, Batch    760, Loss  0.842486, Average Loss  0.830942, Time  0.238001
2021-09-16 23:21:30.131931 : Epoch 10, Batch    761, Loss  0.822426, Average Loss  0.830840, Time  0.237523
2021-09-16 23:21:32.709089 : Epoch 10, Batch    762, Loss  0.824400, Average Loss  0.830883, Time  0.237670
2021-09-16 23:21:35.297926 : Epoch 10, Batch    763, Loss  0.837402, Average Loss  0.830970, Time  0.238195
2021-09-16 23:21:37.879953 : Epoch 10, Batch    764, Loss  0.814722, Average Loss  0.830740, Time  0.237773
2021-09-16 23:21:40.456665 : Epoch 10, Batch    765, Loss  0.844073, Average Loss  0.830796, Time  0.237600
2021-09-16 23:21:43.036708 : Epoch 10, Batch    766, Loss  0.816360, Average Loss  0.830797, Time  0.237590
2021-09-16 23:21:48.153719 : Epoch 10, Batch    767, Loss  0.829534, Average Loss  0.830816, Time  0.270968
2021-09-16 23:21:51.645745 : Epoch 10, Batch    768, Loss  0.842000, Average Loss  0.830874, Time  0.242460
2021-09-16 23:21:55.014674 : Epoch 10, Batch    769, Loss  0.848730, Average Loss  0.830942, Time  0.237533
2021-09-16 23:21:58.375685 : Epoch 10, Batch    770, Loss  0.818489, Average Loss  0.830920, Time  0.237519
2021-09-16 23:22:01.461141 : Epoch 10, Batch    771, Loss  0.833784, Average Loss  0.830994, Time  0.237452
2021-09-16 23:22:04.678970 : Epoch 10, Batch    772, Loss  0.819461, Average Loss  0.830880, Time  0.237764
2021-09-16 23:22:07.342935 : Epoch 10, Batch    773, Loss  0.850968, Average Loss  0.830927, Time  0.237643
2021-09-16 23:22:09.921925 : Epoch 10, Batch    774, Loss  0.835298, Average Loss  0.830890, Time  0.237480
2021-09-16 23:22:12.523856 : Epoch 10, Batch    775, Loss  0.826978, Average Loss  0.830854, Time  0.237615
2021-09-16 23:22:15.113848 : Epoch 10, Batch    776, Loss  0.833959, Average Loss  0.830909, Time  0.237882
2021-09-16 23:22:17.696705 : Epoch 10, Batch    777, Loss  0.837716, Average Loss  0.830901, Time  0.237791
2021-09-16 23:22:20.279679 : Epoch 10, Batch    778, Loss  0.821539, Average Loss  0.830896, Time  0.237407
2021-09-16 23:22:22.866731 : Epoch 10, Batch    779, Loss  0.812840, Average Loss  0.830735, Time  0.237646
2021-09-16 23:22:25.452702 : Epoch 10, Batch    780, Loss  0.827512, Average Loss  0.830729, Time  0.238149
2021-09-16 23:22:28.055975 : Epoch 10, Batch    781, Loss  0.818048, Average Loss  0.830593, Time  0.237764
2021-09-16 23:22:30.632830 : Epoch 10, Batch    782, Loss  0.823164, Average Loss  0.830489, Time  0.238483
2021-09-16 23:22:33.216067 : Epoch 10, Batch    783, Loss  0.827632, Average Loss  0.830396, Time  0.237486
2021-09-16 23:22:35.793668 : Epoch 10, Batch    784, Loss  0.844298, Average Loss  0.830452, Time  0.237408
2021-09-16 23:22:38.373290 : Epoch 10, Batch    785, Loss  0.846370, Average Loss  0.830583, Time  0.237827
2021-09-16 23:22:40.960925 : Epoch 10, Batch    786, Loss  0.807723, Average Loss  0.830553, Time  0.237499
2021-09-16 23:22:43.536189 : Epoch 10, Batch    787, Loss  0.829415, Average Loss  0.830523, Time  0.237715
2021-09-16 23:22:46.114914 : Epoch 10, Batch    788, Loss  0.856387, Average Loss  0.830715, Time  0.237935
2021-09-16 23:22:48.693781 : Epoch 10, Batch    789, Loss  0.818995, Average Loss  0.830623, Time  0.237648
2021-09-16 23:22:51.271681 : Epoch 10, Batch    790, Loss  0.838999, Average Loss  0.830660, Time  0.237385
2021-09-16 23:22:53.852708 : Epoch 10, Batch    791, Loss  0.850170, Average Loss  0.830703, Time  0.237640
2021-09-16 23:22:56.429973 : Epoch 10, Batch    792, Loss  0.827461, Average Loss  0.830622, Time  0.237465
2021-09-16 23:22:59.012967 : Epoch 10, Batch    793, Loss  0.822784, Average Loss  0.830506, Time  0.237683
2021-09-16 23:23:01.603000 : Epoch 10, Batch    794, Loss  0.812323, Average Loss  0.830534, Time  0.237535
2021-09-16 23:23:04.178182 : Epoch 10, Batch    795, Loss  0.826418, Average Loss  0.830553, Time  0.237507
2021-09-16 23:23:06.762674 : Epoch 10, Batch    796, Loss  0.818350, Average Loss  0.830503, Time  0.237974
2021-09-16 23:27:02.668686 : CheckPoint: Validation Loss  0.00029174, Best Loss  0.00027885
2021-09-16 23:27:05.271704 : Epoch 10, Batch    797, Loss  0.835750, Average Loss  0.830494, Time  0.268514
2021-09-16 23:27:07.889707 : Epoch 10, Batch    798, Loss  0.811037, Average Loss  0.830450, Time  0.255729
2021-09-16 23:27:10.477953 : Epoch 10, Batch    799, Loss  0.827381, Average Loss  0.830403, Time  0.240788
2021-09-16 23:27:13.077917 : Epoch 10, Batch    800, Loss  0.848722, Average Loss  0.830466, Time  0.238282
2021-09-16 23:27:15.664946 : Epoch 10, Batch    801, Loss  0.848555, Average Loss  0.830512, Time  0.237501
2021-09-16 23:27:18.255757 : Epoch 10, Batch    802, Loss  0.847810, Average Loss  0.830583, Time  0.237613
2021-09-16 23:27:20.841961 : Epoch 10, Batch    803, Loss  0.824461, Average Loss  0.830766, Time  0.237536
2021-09-16 23:27:23.432906 : Epoch 10, Batch    804, Loss  0.823307, Average Loss  0.830858, Time  0.237437
2021-09-16 23:27:26.025728 : Epoch 10, Batch    805, Loss  0.847452, Average Loss  0.830932, Time  0.237621
2021-09-16 23:27:28.617913 : Epoch 10, Batch    806, Loss  0.835723, Average Loss  0.831069, Time  0.237508
2021-09-16 23:27:31.204740 : Epoch 10, Batch    807, Loss  0.805592, Average Loss  0.831003, Time  0.238292
2021-09-16 23:27:33.793990 : Epoch 10, Batch    808, Loss  0.811772, Average Loss  0.830883, Time  0.237319
2021-09-16 23:27:36.380654 : Epoch 10, Batch    809, Loss  0.830167, Average Loss  0.830825, Time  0.237168
2021-09-16 23:27:38.959683 : Epoch 10, Batch    810, Loss  0.833314, Average Loss  0.830866, Time  0.237245
2021-09-16 23:27:41.542709 : Epoch 10, Batch    811, Loss  0.854040, Average Loss  0.830963, Time  0.237264
2021-09-16 23:27:44.124518 : Epoch 10, Batch    812, Loss  0.848070, Average Loss  0.831145, Time  0.237206
2021-09-16 23:27:46.702953 : Epoch 10, Batch    813, Loss  0.832341, Average Loss  0.831115, Time  0.237453
2021-09-16 23:27:49.294142 : Epoch 10, Batch    814, Loss  0.825118, Average Loss  0.831027, Time  0.237371
2021-09-16 23:27:51.878967 : Epoch 10, Batch    815, Loss  0.852565, Average Loss  0.831135, Time  0.237525
2021-09-16 23:27:54.465945 : Epoch 10, Batch    816, Loss  0.821460, Average Loss  0.831115, Time  0.237517
2021-09-16 23:27:57.048700 : Epoch 10, Batch    817, Loss  0.824795, Average Loss  0.830980, Time  0.237581
2021-09-16 23:27:59.633972 : Epoch 10, Batch    818, Loss  0.831545, Average Loss  0.831091, Time  0.237605
2021-09-16 23:28:02.209064 : Epoch 10, Batch    819, Loss  0.860108, Average Loss  0.831276, Time  0.237789
2021-09-16 23:28:04.793699 : Epoch 10, Batch    820, Loss  0.817515, Average Loss  0.831156, Time  0.237449
2021-09-16 23:28:07.376731 : Epoch 10, Batch    821, Loss  0.812470, Average Loss  0.831069, Time  0.237371
2021-09-16 23:28:09.984891 : Epoch 10, Batch    822, Loss  0.849065, Average Loss  0.831237, Time  0.258796
2021-09-16 23:28:12.562989 : Epoch 10, Batch    823, Loss  0.848475, Average Loss  0.831367, Time  0.237500
2021-09-16 23:28:15.143019 : Epoch 10, Batch    824, Loss  0.830029, Average Loss  0.831393, Time  0.237525
2021-09-16 23:28:17.728164 : Epoch 10, Batch    825, Loss  0.862810, Average Loss  0.831548, Time  0.237567
2021-09-16 23:28:20.310142 : Epoch 10, Batch    826, Loss  0.814990, Average Loss  0.831442, Time  0.237090
2021-09-16 23:28:22.893993 : Epoch 10, Batch    827, Loss  0.826951, Average Loss  0.831443, Time  0.237502
2021-09-16 23:28:25.476045 : Epoch 10, Batch    828, Loss  0.840623, Average Loss  0.831386, Time  0.237333
2021-09-16 23:28:28.054725 : Epoch 10, Batch    829, Loss  0.832122, Average Loss  0.831342, Time  0.237758
2021-09-16 23:28:30.639960 : Epoch 10, Batch    830, Loss  0.830788, Average Loss  0.831405, Time  0.237490
2021-09-16 23:28:33.244892 : Epoch 10, Batch    831, Loss  0.821289, Average Loss  0.831282, Time  0.237639
2021-09-16 23:28:35.826976 : Epoch 10, Batch    832, Loss  0.840356, Average Loss  0.831237, Time  0.237192
2021-09-16 23:28:38.402966 : Epoch 10, Batch    833, Loss  0.821116, Average Loss  0.831131, Time  0.237055
2021-09-16 23:28:40.985675 : Epoch 10, Batch    834, Loss  0.831172, Average Loss  0.831092, Time  0.237316
2021-09-16 23:28:43.565013 : Epoch 10, Batch    835, Loss  0.855233, Average Loss  0.831278, Time  0.237947
2021-09-16 23:28:46.140358 : Epoch 10, Batch    836, Loss  0.817217, Average Loss  0.831288, Time  0.237306
2021-09-16 23:28:48.721954 : Epoch 10, Batch    837, Loss  0.829793, Average Loss  0.831269, Time  0.237456
2021-09-16 23:28:51.303168 : Epoch 10, Batch    838, Loss  0.830764, Average Loss  0.831342, Time  0.238149
2021-09-16 23:28:53.879978 : Epoch 10, Batch    839, Loss  0.834095, Average Loss  0.831391, Time  0.238775
2021-09-16 23:28:56.455668 : Epoch 10, Batch    840, Loss  0.834172, Average Loss  0.831533, Time  0.237445
2021-09-16 23:28:59.032823 : Epoch 10, Batch    841, Loss  0.849299, Average Loss  0.831669, Time  0.237581
2021-09-16 23:29:01.620030 : Epoch 10, Batch    842, Loss  0.836034, Average Loss  0.831650, Time  0.238411
2021-09-16 23:29:04.206683 : Epoch 10, Batch    843, Loss  0.838385, Average Loss  0.831642, Time  0.238071
2021-09-16 23:29:06.796886 : Epoch 10, Batch    844, Loss  0.826101, Average Loss  0.831612, Time  0.237376
2021-09-16 23:29:09.376953 : Epoch 10, Batch    845, Loss  0.841315, Average Loss  0.831753, Time  0.237970
2021-09-16 23:29:11.958679 : Epoch 10, Batch    846, Loss  0.832797, Average Loss  0.831739, Time  0.237814
2021-09-16 23:29:14.537934 : Epoch 10, Batch    847, Loss  0.817197, Average Loss  0.831783, Time  0.237184
2021-09-16 23:29:17.121161 : Epoch 10, Batch    848, Loss  0.831349, Average Loss  0.831832, Time  0.237278
2021-09-16 23:29:19.712949 : Epoch 10, Batch    849, Loss  0.825620, Average Loss  0.831773, Time  0.237329
2021-09-16 23:29:22.301908 : Epoch 10, Batch    850, Loss  0.828520, Average Loss  0.831711, Time  0.237403
2021-09-16 23:29:24.879945 : Epoch 10, Batch    851, Loss  0.824903, Average Loss  0.831714, Time  0.237268
2021-09-16 23:29:27.462152 : Epoch 10, Batch    852, Loss  0.838330, Average Loss  0.831766, Time  0.237182
2021-09-16 23:29:30.046633 : Epoch 10, Batch    853, Loss  0.847027, Average Loss  0.831871, Time  0.237646
2021-09-16 23:29:32.626660 : Epoch 10, Batch    854, Loss  0.828261, Average Loss  0.831797, Time  0.237995
2021-09-16 23:29:35.209705 : Epoch 10, Batch    855, Loss  0.830348, Average Loss  0.831876, Time  0.237438
2021-09-16 23:29:37.784864 : Epoch 10, Batch    856, Loss  0.808829, Average Loss  0.831901, Time  0.237429
2021-09-16 23:29:40.370701 : Epoch 10, Batch    857, Loss  0.847239, Average Loss  0.832052, Time  0.237290
2021-09-16 23:29:42.956970 : Epoch 10, Batch    858, Loss  0.846882, Average Loss  0.832081, Time  0.237442
2021-09-16 23:29:45.526671 : Epoch 10, Batch    859, Loss  0.827839, Average Loss  0.832072, Time  0.237429
2021-09-16 23:29:48.117930 : Epoch 10, Batch    860, Loss  0.853718, Average Loss  0.832114, Time  0.237590
2021-09-16 23:29:50.703149 : Epoch 10, Batch    861, Loss  0.821577, Average Loss  0.832013, Time  0.237246
2021-09-16 23:29:53.277692 : Epoch 10, Batch    862, Loss  0.829645, Average Loss  0.832095, Time  0.237270
2021-09-16 23:29:55.870852 : Epoch 10, Batch    863, Loss  0.832125, Average Loss  0.832200, Time  0.238411
2021-09-16 23:29:58.460880 : Epoch 10, Batch    864, Loss  0.839830, Average Loss  0.832214, Time  0.237525
2021-09-16 23:30:01.064764 : Epoch 10, Batch    865, Loss  0.841533, Average Loss  0.832221, Time  0.237461
2021-09-16 23:30:03.686990 : Epoch 10, Batch    866, Loss  0.850125, Average Loss  0.832373, Time  0.238785
2021-09-16 23:30:06.276965 : Epoch 10, Batch    867, Loss  0.811994, Average Loss  0.832212, Time  0.237296
2021-09-16 23:30:08.852883 : Epoch 10, Batch    868, Loss  0.807609, Average Loss  0.831979, Time  0.237605
2021-09-16 23:30:11.437711 : Epoch 10, Batch    869, Loss  0.832161, Average Loss  0.831945, Time  0.237277
2021-09-16 23:30:14.012962 : Epoch 10, Batch    870, Loss  0.842918, Average Loss  0.831964, Time  0.238079
2021-09-16 23:30:16.586957 : Epoch 10, Batch    871, Loss  0.832250, Average Loss  0.831905, Time  0.237238
2021-09-16 23:30:19.168933 : Epoch 10, Batch    872, Loss  0.831283, Average Loss  0.831866, Time  0.237810
2021-09-16 23:30:21.758670 : Epoch 10, Batch    873, Loss  0.824372, Average Loss  0.831802, Time  0.237424
2021-09-16 23:30:24.340773 : Epoch 10, Batch    874, Loss  0.823495, Average Loss  0.831755, Time  0.237467
2021-09-16 23:30:26.924931 : Epoch 10, Batch    875, Loss  0.801615, Average Loss  0.831562, Time  0.237608
2021-09-16 23:30:29.501168 : Epoch 10, Batch    876, Loss  0.822840, Average Loss  0.831453, Time  0.237310
2021-09-16 23:30:32.083840 : Epoch 10, Batch    877, Loss  0.835539, Average Loss  0.831448, Time  0.237846
2021-09-16 23:30:34.660935 : Epoch 10, Batch    878, Loss  0.830369, Average Loss  0.831449, Time  0.237152
2021-09-16 23:30:37.235165 : Epoch 10, Batch    879, Loss  0.849849, Average Loss  0.831508, Time  0.237302
2021-09-16 23:30:39.816738 : Epoch 10, Batch    880, Loss  0.842753, Average Loss  0.831625, Time  0.237379
2021-09-16 23:30:42.406888 : Epoch 10, Batch    881, Loss  0.845158, Average Loss  0.831585, Time  0.237495
2021-09-16 23:30:44.996941 : Epoch 10, Batch    882, Loss  0.831642, Average Loss  0.831553, Time  0.237279
2021-09-16 23:30:47.584666 : Epoch 10, Batch    883, Loss  0.828957, Average Loss  0.831578, Time  0.237264
2021-09-16 23:30:50.174819 : Epoch 10, Batch    884, Loss  0.857675, Average Loss  0.831701, Time  0.237455
2021-09-16 23:30:52.758931 : Epoch 10, Batch    885, Loss  0.821245, Average Loss  0.831603, Time  0.237334
2021-09-16 23:30:55.337927 : Epoch 10, Batch    886, Loss  0.835201, Average Loss  0.831667, Time  0.237427
2021-09-16 23:30:57.917975 : Epoch 10, Batch    887, Loss  0.850161, Average Loss  0.831709, Time  0.237448
2021-09-16 23:31:00.505959 : Epoch 10, Batch    888, Loss  0.829996, Average Loss  0.831696, Time  0.237517
2021-09-16 23:31:03.079667 : Epoch 10, Batch    889, Loss  0.820272, Average Loss  0.831639, Time  0.237997
2021-09-16 23:31:05.659946 : Epoch 10, Batch    890, Loss  0.832707, Average Loss  0.831617, Time  0.237498
2021-09-16 23:31:08.243916 : Epoch 10, Batch    891, Loss  0.844420, Average Loss  0.831636, Time  0.237487
2021-09-16 23:31:10.835659 : Epoch 10, Batch    892, Loss  0.803238, Average Loss  0.831592, Time  0.237477
2021-09-16 23:31:13.425147 : Epoch 10, Batch    893, Loss  0.829682, Average Loss  0.831623, Time  0.237190
2021-09-16 23:31:16.013700 : Epoch 10, Batch    894, Loss  0.824885, Average Loss  0.831623, Time  0.237392
2021-09-16 23:31:18.591683 : Epoch 10, Batch    895, Loss  0.827994, Average Loss  0.831619, Time  0.237500
2021-09-16 23:31:21.166236 : Epoch 10, Batch    896, Loss  0.828587, Average Loss  0.831693, Time  0.237352
2021-09-16 23:35:16.106676 : CheckPoint: Validation Loss  0.00029186, Best Loss  0.00027885
2021-09-16 23:35:18.695735 : Epoch 10, Batch    897, Loss  0.818070, Average Loss  0.831647, Time  0.270830
2021-09-16 23:35:21.274998 : Epoch 10, Batch    898, Loss  0.810669, Average Loss  0.831616, Time  0.244109
2021-09-16 23:35:23.848950 : Epoch 10, Batch    899, Loss  0.824553, Average Loss  0.831495, Time  0.237299
2021-09-16 23:35:26.433753 : Epoch 10, Batch    900, Loss  0.835412, Average Loss  0.831534, Time  0.237620
2021-09-16 23:35:29.021739 : Epoch 10, Batch    901, Loss  0.836758, Average Loss  0.831598, Time  0.237275
2021-09-16 23:35:31.591387 : Epoch 10, Batch    902, Loss  0.827085, Average Loss  0.831575, Time  0.237338
2021-09-16 23:35:34.176729 : Epoch 10, Batch    903, Loss  0.829796, Average Loss  0.831608, Time  0.237188
2021-09-16 23:35:36.758891 : Epoch 10, Batch    904, Loss  0.833401, Average Loss  0.831735, Time  0.237375
2021-09-16 23:35:39.339711 : Epoch 10, Batch    905, Loss  0.815522, Average Loss  0.831651, Time  0.237772
2021-09-16 23:35:41.915615 : Epoch 10, Batch    906, Loss  0.833487, Average Loss  0.831723, Time  0.237192
2021-09-16 23:35:44.490071 : Epoch 10, Batch    907, Loss  0.826820, Average Loss  0.831716, Time  0.237327
2021-09-16 23:35:47.068084 : Epoch 10, Batch    908, Loss  0.841966, Average Loss  0.831717, Time  0.237483
2021-09-16 23:35:49.643072 : Epoch 10, Batch    909, Loss  0.805284, Average Loss  0.831575, Time  0.237396
2021-09-16 23:35:52.233762 : Epoch 10, Batch    910, Loss  0.838045, Average Loss  0.831625, Time  0.237344
2021-09-16 23:35:54.815823 : Epoch 10, Batch    911, Loss  0.827707, Average Loss  0.831640, Time  0.237452
2021-09-16 23:35:57.382177 : Epoch 10, Batch    912, Loss  0.832352, Average Loss  0.831698, Time  0.237745
2021-09-16 23:35:59.982995 : Epoch 10, Batch    913, Loss  0.819701, Average Loss  0.831704, Time  0.237448
2021-09-16 23:36:02.555967 : Epoch 10, Batch    914, Loss  0.839228, Average Loss  0.831727, Time  0.237732
2021-09-16 23:36:05.131156 : Epoch 10, Batch    915, Loss  0.831394, Average Loss  0.831683, Time  0.237265
2021-09-16 23:36:07.705709 : Epoch 10, Batch    916, Loss  0.826925, Average Loss  0.831710, Time  0.237712
2021-09-16 23:36:10.276168 : Epoch 10, Batch    917, Loss  0.795880, Average Loss  0.831550, Time  0.237433
2021-09-16 23:36:12.851945 : Epoch 10, Batch    918, Loss  0.837032, Average Loss  0.831518, Time  0.237191
2021-09-16 23:36:15.440691 : Epoch 10, Batch    919, Loss  0.805867, Average Loss  0.831321, Time  0.237792
2021-09-16 23:36:18.012868 : Epoch 10, Batch    920, Loss  0.815718, Average Loss  0.831249, Time  0.237209
2021-09-16 23:36:20.593010 : Epoch 10, Batch    921, Loss  0.835247, Average Loss  0.831273, Time  0.237625
2021-09-16 23:36:23.169965 : Epoch 10, Batch    922, Loss  0.830686, Average Loss  0.831215, Time  0.237332
2021-09-16 23:36:25.751956 : Epoch 10, Batch    923, Loss  0.828129, Average Loss  0.831021, Time  0.237553
2021-09-16 23:36:28.326960 : Epoch 10, Batch    924, Loss  0.804622, Average Loss  0.830771, Time  0.238753
2021-09-16 23:36:30.901237 : Epoch 10, Batch    925, Loss  0.832872, Average Loss  0.830739, Time  0.237173
2021-09-16 23:36:33.472947 : Epoch 10, Batch    926, Loss  0.815664, Average Loss  0.830710, Time  0.237524
2021-09-16 23:36:36.055705 : Epoch 10, Batch    927, Loss  0.839917, Average Loss  0.830656, Time  0.237536
2021-09-16 23:36:38.634996 : Epoch 10, Batch    928, Loss  0.834527, Average Loss  0.830648, Time  0.237652
2021-09-16 23:36:41.221732 : Epoch 10, Batch    929, Loss  0.840588, Average Loss  0.830603, Time  0.237338
2021-09-16 23:36:43.792470 : Epoch 10, Batch    930, Loss  0.832948, Average Loss  0.830591, Time  0.237371
2021-09-16 23:36:46.373968 : Epoch 10, Batch    931, Loss  0.851931, Average Loss  0.830707, Time  0.237603
2021-09-16 23:36:48.955958 : Epoch 10, Batch    932, Loss  0.820997, Average Loss  0.830561, Time  0.237547
2021-09-16 23:36:51.544956 : Epoch 10, Batch    933, Loss  0.804570, Average Loss  0.830406, Time  0.237406
2021-09-16 23:36:54.123223 : Epoch 10, Batch    934, Loss  0.805631, Average Loss  0.830272, Time  0.237378
2021-09-16 23:36:56.697966 : Epoch 10, Batch    935, Loss  0.797113, Average Loss  0.830111, Time  0.237765
2021-09-16 23:36:59.277970 : Epoch 10, Batch    936, Loss  0.821414, Average Loss  0.830091, Time  0.237280
2021-09-16 23:37:01.864023 : Epoch 10, Batch    937, Loss  0.829156, Average Loss  0.829879, Time  0.237542
2021-09-16 23:37:04.437982 : Epoch 10, Batch    938, Loss  0.839838, Average Loss  0.829978, Time  0.237397
2021-09-16 23:37:07.025277 : Epoch 10, Batch    939, Loss  0.808810, Average Loss  0.829874, Time  0.237830
2021-09-16 23:37:09.612894 : Epoch 10, Batch    940, Loss  0.839106, Average Loss  0.829939, Time  0.237493
2021-09-16 23:37:12.203907 : Epoch 10, Batch    941, Loss  0.807882, Average Loss  0.829810, Time  0.237510
2021-09-16 23:37:14.784750 : Epoch 10, Batch    942, Loss  0.838991, Average Loss  0.829919, Time  0.237526
2021-09-16 23:37:17.356939 : Epoch 10, Batch    943, Loss  0.851570, Average Loss  0.830113, Time  0.237357
2021-09-16 23:37:19.935708 : Epoch 10, Batch    944, Loss  0.833129, Average Loss  0.830186, Time  0.237352
2021-09-16 23:37:22.517679 : Epoch 10, Batch    945, Loss  0.828521, Average Loss  0.830127, Time  0.237452
2021-09-16 23:37:25.094919 : Epoch 10, Batch    946, Loss  0.826598, Average Loss  0.830116, Time  0.237295
2021-09-16 23:37:27.683967 : Epoch 10, Batch    947, Loss  0.833903, Average Loss  0.830091, Time  0.237285
2021-09-16 23:37:30.266931 : Epoch 10, Batch    948, Loss  0.836285, Average Loss  0.830132, Time  0.237458
2021-09-16 23:37:32.860694 : Epoch 10, Batch    949, Loss  0.843870, Average Loss  0.830169, Time  0.237476
2021-09-16 23:37:35.444001 : Epoch 10, Batch    950, Loss  0.837991, Average Loss  0.830270, Time  0.237372
2021-09-16 23:37:38.018689 : Epoch 10, Batch    951, Loss  0.824130, Average Loss  0.830185, Time  0.237334
2021-09-16 23:37:40.593006 : Epoch 10, Batch    952, Loss  0.834874, Average Loss  0.830154, Time  0.237725
2021-09-16 23:37:43.166708 : Epoch 10, Batch    953, Loss  0.841277, Average Loss  0.830247, Time  0.237249
2021-09-16 23:37:45.746160 : Epoch 10, Batch    954, Loss  0.841305, Average Loss  0.830293, Time  0.237787
2021-09-16 23:37:48.326650 : Epoch 10, Batch    955, Loss  0.831595, Average Loss  0.830408, Time  0.237577
2021-09-16 23:37:50.897711 : Epoch 10, Batch    956, Loss  0.825911, Average Loss  0.830387, Time  0.237347
2021-09-16 23:37:53.487722 : Epoch 10, Batch    957, Loss  0.844036, Average Loss  0.830424, Time  0.237543
2021-09-16 23:37:56.069672 : Epoch 10, Batch    958, Loss  0.825666, Average Loss  0.830525, Time  0.237328
2021-09-16 23:37:58.654064 : Epoch 10, Batch    959, Loss  0.817457, Average Loss  0.830572, Time  0.237099
2021-09-16 23:38:01.226671 : Epoch 10, Batch    960, Loss  0.823701, Average Loss  0.830478, Time  0.237233
2021-09-16 23:38:03.805960 : Epoch 10, Batch    961, Loss  0.837487, Average Loss  0.830554, Time  0.237277
2021-09-16 23:38:06.379910 : Epoch 10, Batch    962, Loss  0.845351, Average Loss  0.830658, Time  0.237265
2021-09-16 23:38:08.958127 : Epoch 10, Batch    963, Loss  0.825089, Average Loss  0.830597, Time  0.237306
2021-09-16 23:38:11.550667 : Epoch 10, Batch    964, Loss  0.815055, Average Loss  0.830599, Time  0.237400
2021-09-16 23:38:14.126239 : Epoch 10, Batch    965, Loss  0.819427, Average Loss  0.830475, Time  0.237274
2021-09-16 23:38:16.700716 : Epoch 10, Batch    966, Loss  0.820892, Average Loss  0.830498, Time  0.237367
2021-09-16 23:38:19.269875 : Epoch 10, Batch    967, Loss  0.862411, Average Loss  0.830662, Time  0.237156
2021-09-16 23:38:21.851664 : Epoch 10, Batch    968, Loss  0.826010, Average Loss  0.830582, Time  0.237350
2021-09-16 23:38:24.451093 : Epoch 10, Batch    969, Loss  0.847522, Average Loss  0.830576, Time  0.237356
2021-09-16 23:38:27.036081 : Epoch 10, Batch    970, Loss  0.825469, Average Loss  0.830611, Time  0.237405
2021-09-16 23:38:29.605927 : Epoch 10, Batch    971, Loss  0.823038, Average Loss  0.830558, Time  0.237558
2021-09-16 23:38:32.185730 : Epoch 10, Batch    972, Loss  0.815607, Average Loss  0.830538, Time  0.237290
2021-09-16 23:38:34.763880 : Epoch 10, Batch    973, Loss  0.830554, Average Loss  0.830436, Time  0.237629
2021-09-16 23:38:37.339087 : Epoch 10, Batch    974, Loss  0.820923, Average Loss  0.830364, Time  0.237226
2021-09-16 23:38:39.926714 : Epoch 10, Batch    975, Loss  0.833806, Average Loss  0.830399, Time  0.237977
2021-09-16 23:38:42.508885 : Epoch 10, Batch    976, Loss  0.831558, Average Loss  0.830386, Time  0.237655
2021-09-16 23:38:45.092743 : Epoch 10, Batch    977, Loss  0.827653, Average Loss  0.830336, Time  0.237427
2021-09-16 23:38:47.668234 : Epoch 10, Batch    978, Loss  0.822870, Average Loss  0.830343, Time  0.237544
2021-09-16 23:38:50.239885 : Epoch 10, Batch    979, Loss  0.812413, Average Loss  0.830341, Time  0.237310
2021-09-16 23:38:52.830351 : Epoch 10, Batch    980, Loss  0.825246, Average Loss  0.830329, Time  0.236959
2021-09-16 23:38:55.480007 : Epoch 10, Batch    981, Loss  0.842533, Average Loss  0.830452, Time  0.237322
2021-09-16 23:38:58.058739 : Epoch 10, Batch    982, Loss  0.845980, Average Loss  0.830566, Time  0.237279
2021-09-16 23:39:00.626001 : Epoch 10, Batch    983, Loss  0.831169, Average Loss  0.830584, Time  0.237405
2021-09-16 23:39:03.200981 : Epoch 10, Batch    984, Loss  0.837818, Average Loss  0.830551, Time  0.237134
2021-09-16 23:39:05.780754 : Epoch 10, Batch    985, Loss  0.833318, Average Loss  0.830486, Time  0.237252
2021-09-16 23:39:08.358030 : Epoch 10, Batch    986, Loss  0.822166, Average Loss  0.830558, Time  0.237110
2021-09-16 23:39:10.934905 : Epoch 10, Batch    987, Loss  0.845399, Average Loss  0.830638, Time  0.238181
2021-09-16 23:39:13.520710 : Epoch 10, Batch    988, Loss  0.807989, Average Loss  0.830396, Time  0.238516
2021-09-16 23:39:16.122939 : Epoch 10, Batch    989, Loss  0.841730, Average Loss  0.830510, Time  0.237473
2021-09-16 23:39:18.697246 : Epoch 10, Batch    990, Loss  0.829975, Average Loss  0.830465, Time  0.237452
2021-09-16 23:39:21.269954 : Epoch 10, Batch    991, Loss  0.842290, Average Loss  0.830425, Time  0.237201
2021-09-16 23:39:23.844670 : Epoch 10, Batch    992, Loss  0.827382, Average Loss  0.830425, Time  0.237115
2021-09-16 23:39:26.422149 : Epoch 10, Batch    993, Loss  0.841829, Average Loss  0.830520, Time  0.237304
2021-09-16 23:39:28.995158 : Epoch 10, Batch    994, Loss  0.851002, Average Loss  0.830713, Time  0.237597
2021-09-16 23:39:31.582776 : Epoch 10, Batch    995, Loss  0.817128, Average Loss  0.830667, Time  0.238196
2021-09-16 23:39:34.161010 : Epoch 10, Batch    996, Loss  0.830376, Average Loss  0.830727, Time  0.237264
2021-09-16 23:43:29.795679 : CheckPoint: Validation Loss  0.00028408, Best Loss  0.00027885
2021-09-16 23:43:32.376257 : Epoch 10, Batch    997, Loss  0.818287, Average Loss  0.830640, Time  0.268297
2021-09-16 23:43:34.962580 : Epoch 10, Batch    998, Loss  0.829019, Average Loss  0.830730, Time  0.247071
2021-09-16 23:43:37.540972 : Epoch 10, Batch    999, Loss  0.795413, Average Loss  0.830570, Time  0.237435
2021-09-16 23:43:40.125155 : Epoch 10, Batch   1000, Loss  0.831395, Average Loss  0.830483, Time  0.237687
2021-09-16 23:43:42.700987 : Epoch 10, Batch   1001, Loss  0.830276, Average Loss  0.830392, Time  0.237198
2021-09-16 23:43:45.274892 : Epoch 10, Batch   1002, Loss  0.838059, Average Loss  0.830343, Time  0.237431
2021-09-16 23:43:47.847689 : Epoch 10, Batch   1003, Loss  0.839148, Average Loss  0.830417, Time  0.237295
2021-09-16 23:43:50.413918 : Epoch 10, Batch   1004, Loss  0.820317, Average Loss  0.830402, Time  0.237520
2021-09-16 23:43:52.995790 : Epoch 10, Batch   1005, Loss  0.860153, Average Loss  0.830465, Time  0.237992
2021-09-16 23:43:55.575795 : Epoch 10, Batch   1006, Loss  0.843443, Average Loss  0.830504, Time  0.237355
2021-09-16 23:43:58.150948 : Epoch 10, Batch   1007, Loss  0.827014, Average Loss  0.830611, Time  0.238199
2021-09-16 23:44:00.710896 : Epoch 10, Batch   1008, Loss  0.838833, Average Loss  0.830746, Time  0.237021
2021-09-16 23:44:03.279440 : Epoch 10, Batch   1009, Loss  0.844182, Average Loss  0.830816, Time  0.237316
2021-09-16 23:44:05.862041 : Epoch 10, Batch   1010, Loss  0.841760, Average Loss  0.830858, Time  0.237530
2021-09-16 23:44:08.437716 : Epoch 10, Batch   1011, Loss  0.834584, Average Loss  0.830761, Time  0.237402
2021-09-16 23:44:11.018685 : Epoch 10, Batch   1012, Loss  0.828064, Average Loss  0.830661, Time  0.237496
2021-09-16 23:44:13.601748 : Epoch 10, Batch   1013, Loss  0.819979, Average Loss  0.830599, Time  0.237428
2021-09-16 23:44:16.171978 : Epoch 10, Batch   1014, Loss  0.846259, Average Loss  0.830705, Time  0.237801
2021-09-16 23:44:18.741431 : Epoch 10, Batch   1015, Loss  0.811881, Average Loss  0.830502, Time  0.237224
2021-09-16 23:44:21.327692 : Epoch 10, Batch   1016, Loss  0.843172, Average Loss  0.830610, Time  0.237571
2021-09-16 23:44:23.896950 : Epoch 10, Batch   1017, Loss  0.816248, Average Loss  0.830567, Time  0.237562
2021-09-16 23:44:26.466875 : Epoch 10, Batch   1018, Loss  0.822313, Average Loss  0.830521, Time  0.237399
2021-09-16 23:44:29.040981 : Epoch 10, Batch   1019, Loss  0.834842, Average Loss  0.830395, Time  0.237375
2021-09-16 23:44:31.620872 : Epoch 10, Batch   1020, Loss  0.833281, Average Loss  0.830474, Time  0.237197
2021-09-16 23:44:34.198911 : Epoch 10, Batch   1021, Loss  0.834925, Average Loss  0.830586, Time  0.237373
2021-09-16 23:44:36.775850 : Epoch 10, Batch   1022, Loss  0.830827, Average Loss  0.830495, Time  0.237585
2021-09-16 23:44:39.350017 : Epoch 10, Batch   1023, Loss  0.825969, Average Loss  0.830382, Time  0.237274
2021-09-16 23:44:41.924978 : Epoch 10, Batch   1024, Loss  0.814044, Average Loss  0.830302, Time  0.238014
2021-09-16 23:44:44.512984 : Epoch 10, Batch   1025, Loss  0.839197, Average Loss  0.830184, Time  0.237319
2021-09-16 23:44:47.092893 : Epoch 10, Batch   1026, Loss  0.841786, Average Loss  0.830318, Time  0.236992
2021-09-16 23:44:49.668730 : Epoch 10, Batch   1027, Loss  0.817814, Average Loss  0.830273, Time  0.237204
2021-09-16 23:44:52.246940 : Epoch 10, Batch   1028, Loss  0.810947, Average Loss  0.830124, Time  0.237411
2021-09-16 23:44:54.816990 : Epoch 10, Batch   1029, Loss  0.839359, Average Loss  0.830160, Time  0.237485
2021-09-16 23:44:57.401877 : Epoch 10, Batch   1030, Loss  0.857234, Average Loss  0.830293, Time  0.237275
2021-09-16 23:44:59.979716 : Epoch 10, Batch   1031, Loss  0.823750, Average Loss  0.830305, Time  0.237560
2021-09-16 23:45:02.566736 : Epoch 10, Batch   1032, Loss  0.829265, Average Loss  0.830249, Time  0.237873
2021-09-16 23:45:05.154689 : Epoch 10, Batch   1033, Loss  0.810412, Average Loss  0.830196, Time  0.237255
2021-09-16 23:45:07.728995 : Epoch 10, Batch   1034, Loss  0.836518, Average Loss  0.830223, Time  0.237190
2021-09-16 23:45:10.308876 : Epoch 10, Batch   1035, Loss  0.800006, Average Loss  0.829947, Time  0.237441
2021-09-16 23:45:12.894920 : Epoch 10, Batch   1036, Loss  0.849744, Average Loss  0.830109, Time  0.237867
2021-09-16 23:45:15.481749 : Epoch 10, Batch   1037, Loss  0.838849, Average Loss  0.830154, Time  0.237318
2021-09-16 23:45:18.068032 : Epoch 10, Batch   1038, Loss  0.846761, Average Loss  0.830234, Time  0.237903
2021-09-16 23:45:20.650660 : Epoch 10, Batch   1039, Loss  0.835491, Average Loss  0.830241, Time  0.237586
2021-09-16 23:45:23.226876 : Epoch 10, Batch   1040, Loss  0.796652, Average Loss  0.830054, Time  0.237342
2021-09-16 23:45:25.812699 : Epoch 10, Batch   1041, Loss  0.828709, Average Loss  0.829951, Time  0.237462
2021-09-16 23:45:28.388985 : Epoch 10, Batch   1042, Loss  0.831465, Average Loss  0.829928, Time  0.238053
2021-09-16 23:45:30.954672 : Epoch 10, Batch   1043, Loss  0.836569, Average Loss  0.829919, Time  0.237257
2021-09-16 23:45:33.539021 : Epoch 10, Batch   1044, Loss  0.850480, Average Loss  0.830041, Time  0.237451
2021-09-16 23:45:36.113664 : Epoch 10, Batch   1045, Loss  0.797360, Average Loss  0.829821, Time  0.237434
2021-09-16 23:45:38.694779 : Epoch 10, Batch   1046, Loss  0.821260, Average Loss  0.829763, Time  0.238378
2021-09-16 23:45:41.285748 : Epoch 10, Batch   1047, Loss  0.825880, Average Loss  0.829807, Time  0.237796
2021-09-16 23:45:43.856997 : Epoch 10, Batch   1048, Loss  0.845430, Average Loss  0.829877, Time  0.237395
2021-09-16 23:45:46.443051 : Epoch 10, Batch   1049, Loss  0.795747, Average Loss  0.829728, Time  0.237437
2021-09-16 23:45:49.015927 : Epoch 10, Batch   1050, Loss  0.839333, Average Loss  0.829782, Time  0.237249
2021-09-16 23:45:51.589815 : Epoch 10, Batch   1051, Loss  0.818293, Average Loss  0.829749, Time  0.237426
2021-09-16 23:45:54.163879 : Epoch 10, Batch   1052, Loss  0.836159, Average Loss  0.829738, Time  0.237520
2021-09-16 23:45:56.738951 : Epoch 10, Batch   1053, Loss  0.838507, Average Loss  0.829695, Time  0.237164
2021-09-16 23:45:59.315947 : Epoch 10, Batch   1054, Loss  0.834474, Average Loss  0.829726, Time  0.237254
2021-09-16 23:46:01.890005 : Epoch 10, Batch   1055, Loss  0.837610, Average Loss  0.829763, Time  0.237246
2021-09-16 23:46:04.469751 : Epoch 10, Batch   1056, Loss  0.837653, Average Loss  0.829907, Time  0.239038
2021-09-16 23:46:07.049876 : Epoch 10, Batch   1057, Loss  0.821343, Average Loss  0.829777, Time  0.237448
2021-09-16 23:46:09.623447 : Epoch 10, Batch   1058, Loss  0.826152, Average Loss  0.829674, Time  0.237661
2021-09-16 23:46:12.208978 : Epoch 10, Batch   1059, Loss  0.826286, Average Loss  0.829666, Time  0.237693
2021-09-16 23:46:14.798672 : Epoch 10, Batch   1060, Loss  0.833576, Average Loss  0.829565, Time  0.237489
2021-09-16 23:46:17.376004 : Epoch 10, Batch   1061, Loss  0.813063, Average Loss  0.829523, Time  0.237901
2021-09-16 23:46:19.958725 : Epoch 10, Batch   1062, Loss  0.829466, Average Loss  0.829522, Time  0.237398
2021-09-16 23:46:22.538955 : Epoch 10, Batch   1063, Loss  0.831509, Average Loss  0.829519, Time  0.237478
2021-09-16 23:46:25.130981 : Epoch 10, Batch   1064, Loss  0.825208, Average Loss  0.829446, Time  0.238173
2021-09-16 23:46:27.758169 : Epoch 10, Batch   1065, Loss  0.841446, Average Loss  0.829445, Time  0.238441
2021-09-16 23:46:30.346411 : Epoch 10, Batch   1066, Loss  0.839567, Average Loss  0.829392, Time  0.238567
2021-09-16 23:46:32.937281 : Epoch 10, Batch   1067, Loss  0.833252, Average Loss  0.829499, Time  0.238257
2021-09-16 23:46:35.544963 : Epoch 10, Batch   1068, Loss  0.836474, Average Loss  0.829643, Time  0.237717
2021-09-16 23:46:38.133153 : Epoch 10, Batch   1069, Loss  0.832393, Average Loss  0.829644, Time  0.237562
2021-09-16 23:46:40.716016 : Epoch 10, Batch   1070, Loss  0.840593, Average Loss  0.829633, Time  0.237897
2021-09-16 23:46:43.307693 : Epoch 10, Batch   1071, Loss  0.826196, Average Loss  0.829602, Time  0.237303
2021-09-16 23:46:45.894899 : Epoch 10, Batch   1072, Loss  0.850362, Average Loss  0.829698, Time  0.237676
2021-09-16 23:46:48.495001 : Epoch 10, Batch   1073, Loss  0.815295, Average Loss  0.829652, Time  0.237987
2021-09-16 23:46:51.076762 : Epoch 10, Batch   1074, Loss  0.827754, Average Loss  0.829674, Time  0.237749
2021-09-16 23:46:53.665068 : Epoch 10, Batch   1075, Loss  0.809213, Average Loss  0.829712, Time  0.239103
2021-09-16 23:46:56.249168 : Epoch 10, Batch   1076, Loss  0.827381, Average Loss  0.829734, Time  0.237563
2021-09-16 23:46:58.840940 : Epoch 10, Batch   1077, Loss  0.823609, Average Loss  0.829675, Time  0.237694
2021-09-16 23:47:01.423263 : Epoch 10, Batch   1078, Loss  0.815504, Average Loss  0.829600, Time  0.239499
2021-09-16 23:47:04.004975 : Epoch 10, Batch   1079, Loss  0.833150, Average Loss  0.829517, Time  0.237912
2021-09-16 23:47:06.588335 : Epoch 10, Batch   1080, Loss  0.817389, Average Loss  0.829390, Time  0.238802
2021-09-16 23:47:09.207980 : Epoch 10, Batch   1081, Loss  0.836591, Average Loss  0.829347, Time  0.237808
2021-09-16 23:47:11.804728 : Epoch 10, Batch   1082, Loss  0.838696, Average Loss  0.829382, Time  0.238431
2021-09-16 23:47:14.398056 : Epoch 10, Batch   1083, Loss  0.859216, Average Loss  0.829534, Time  0.238458
2021-09-16 23:47:17.038200 : Epoch 10, Batch   1084, Loss  0.833236, Average Loss  0.829412, Time  0.238082
2021-09-16 23:47:19.719297 : Epoch 10, Batch   1085, Loss  0.827795, Average Loss  0.829444, Time  0.239900
2021-09-16 23:47:22.316814 : Epoch 10, Batch   1086, Loss  0.819357, Average Loss  0.829365, Time  0.238918
2021-09-16 23:47:24.907699 : Epoch 10, Batch   1087, Loss  0.822452, Average Loss  0.829227, Time  0.237403
2021-09-16 23:47:27.501000 : Epoch 10, Batch   1088, Loss  0.819029, Average Loss  0.829172, Time  0.237687
2021-09-16 23:47:30.073962 : Epoch 10, Batch   1089, Loss  0.847360, Average Loss  0.829307, Time  0.237452
2021-09-16 23:47:32.655676 : Epoch 10, Batch   1090, Loss  0.814318, Average Loss  0.829215, Time  0.237620
2021-09-16 23:47:35.234215 : Epoch 10, Batch   1091, Loss  0.821481, Average Loss  0.829100, Time  0.237692
2021-09-16 23:47:37.824692 : Epoch 10, Batch   1092, Loss  0.826326, Average Loss  0.829216, Time  0.237689
2021-09-16 23:47:40.388854 : Epoch 10, Batch   1093, Loss  0.819444, Average Loss  0.829165, Time  0.237922
2021-09-16 23:47:42.973011 : Epoch 10, Batch   1094, Loss  0.844626, Average Loss  0.829263, Time  0.237792
2021-09-16 23:47:45.553000 : Epoch 10, Batch   1095, Loss  0.820134, Average Loss  0.829224, Time  0.237627
2021-09-16 23:47:48.135838 : Epoch 10, Batch   1096, Loss  0.811320, Average Loss  0.829138, Time  0.237662
2021-09-16 23:51:43.900705 : CheckPoint: Validation Loss  0.00028178, Best Loss  0.00027885
2021-09-16 23:51:46.463360 : Epoch 10, Batch   1097, Loss  0.849376, Average Loss  0.829294, Time  0.237981
2021-09-16 23:51:49.047740 : Epoch 10, Batch   1098, Loss  0.817686, Average Loss  0.829329, Time  0.237680
2021-09-16 23:51:51.625002 : Epoch 10, Batch   1099, Loss  0.800112, Average Loss  0.829207, Time  0.237341
2021-09-16 23:51:54.218331 : Epoch 10, Batch   1100, Loss  0.814132, Average Loss  0.829101, Time  0.238607
2021-09-16 23:51:56.801161 : Epoch 10, Batch   1101, Loss  0.834002, Average Loss  0.829087, Time  0.237544
2021-09-16 23:51:59.386977 : Epoch 10, Batch   1102, Loss  0.829715, Average Loss  0.829100, Time  0.238042
2021-09-16 23:52:01.985896 : Epoch 10, Batch   1103, Loss  0.816864, Average Loss  0.829036, Time  0.237603
2021-09-16 23:52:04.572116 : Epoch 10, Batch   1104, Loss  0.839101, Average Loss  0.829064, Time  0.237699
2021-09-16 23:52:07.152957 : Epoch 10, Batch   1105, Loss  0.814940, Average Loss  0.829061, Time  0.237442
2021-09-16 23:52:09.721958 : Epoch 10, Batch   1106, Loss  0.844923, Average Loss  0.829118, Time  0.237775
2021-09-16 23:52:12.305674 : Epoch 10, Batch   1107, Loss  0.858888, Average Loss  0.829279, Time  0.237664
2021-09-16 23:52:14.881972 : Epoch 10, Batch   1108, Loss  0.827946, Average Loss  0.829209, Time  0.237508
2021-09-16 23:52:17.464018 : Epoch 10, Batch   1109, Loss  0.828630, Average Loss  0.829325, Time  0.237333
2021-09-16 23:52:20.039975 : Epoch 10, Batch   1110, Loss  0.811791, Average Loss  0.829194, Time  0.237838
2021-09-16 23:52:22.640915 : Epoch 10, Batch   1111, Loss  0.805662, Average Loss  0.829084, Time  0.237448
2021-09-16 23:52:25.228944 : Epoch 10, Batch   1112, Loss  0.851180, Average Loss  0.829178, Time  0.237856
2021-09-16 23:52:27.817918 : Epoch 10, Batch   1113, Loss  0.796586, Average Loss  0.829062, Time  0.237599
2021-09-16 23:52:30.407604 : Epoch 10, Batch   1114, Loss  0.836546, Average Loss  0.829049, Time  0.238190
2021-09-16 23:52:33.029060 : Epoch 10, Batch   1115, Loss  0.846774, Average Loss  0.829126, Time  0.237699
2021-09-16 23:52:35.610679 : Epoch 10, Batch   1116, Loss  0.839521, Average Loss  0.829189, Time  0.237633
2021-09-16 23:52:38.203965 : Epoch 10, Batch   1117, Loss  0.833603, Average Loss  0.829377, Time  0.237749
2021-09-16 23:52:40.781320 : Epoch 10, Batch   1118, Loss  0.841642, Average Loss  0.829400, Time  0.237655
2021-09-16 23:52:43.367980 : Epoch 10, Batch   1119, Loss  0.809119, Average Loss  0.829417, Time  0.238160
2021-09-16 23:52:45.946682 : Epoch 10, Batch   1120, Loss  0.847326, Average Loss  0.829575, Time  0.237639
2021-09-16 23:52:48.527924 : Epoch 10, Batch   1121, Loss  0.841613, Average Loss  0.829607, Time  0.238919
2021-09-16 23:52:51.108938 : Epoch 10, Batch   1122, Loss  0.802261, Average Loss  0.829464, Time  0.237640
2021-09-16 23:52:53.688787 : Epoch 10, Batch   1123, Loss  0.820350, Average Loss  0.829426, Time  0.238134
2021-09-16 23:52:56.264801 : Epoch 10, Batch   1124, Loss  0.814286, Average Loss  0.829474, Time  0.237459
2021-09-16 23:52:58.852969 : Epoch 10, Batch   1125, Loss  0.811492, Average Loss  0.829367, Time  0.237729
2021-09-16 23:53:01.451182 : Epoch 10, Batch   1126, Loss  0.839718, Average Loss  0.829487, Time  0.237647
2021-09-16 23:53:04.032914 : Epoch 10, Batch   1127, Loss  0.833712, Average Loss  0.829456, Time  0.237216
2021-09-16 23:53:06.620221 : Epoch 10, Batch   1128, Loss  0.824482, Average Loss  0.829406, Time  0.237436
2021-09-16 23:53:09.265946 : Epoch 10, Batch   1129, Loss  0.872917, Average Loss  0.829568, Time  0.261748
2021-09-16 23:53:11.847024 : Epoch 10, Batch   1130, Loss  0.829557, Average Loss  0.829551, Time  0.237637
2021-09-16 23:53:14.423032 : Epoch 10, Batch   1131, Loss  0.827387, Average Loss  0.829428, Time  0.237652
2021-09-16 23:53:17.000191 : Epoch 10, Batch   1132, Loss  0.834096, Average Loss  0.829493, Time  0.237720
2021-09-16 23:53:19.585886 : Epoch 10, Batch   1133, Loss  0.833368, Average Loss  0.829637, Time  0.237645
2021-09-16 23:53:22.166701 : Epoch 10, Batch   1134, Loss  0.832231, Average Loss  0.829770, Time  0.237335
2021-09-16 23:53:24.747159 : Epoch 10, Batch   1135, Loss  0.834930, Average Loss  0.829960, Time  0.237587
2021-09-16 23:53:27.322793 : Epoch 10, Batch   1136, Loss  0.827856, Average Loss  0.829992, Time  0.237876
2021-09-16 23:53:29.905202 : Epoch 10, Batch   1137, Loss  0.827850, Average Loss  0.829985, Time  0.237638
2021-09-16 23:53:32.484968 : Epoch 10, Batch   1138, Loss  0.847197, Average Loss  0.830022, Time  0.237601
2021-09-16 23:53:35.064197 : Epoch 10, Batch   1139, Loss  0.825863, Average Loss  0.830107, Time  0.237490
2021-09-16 23:53:37.642182 : Epoch 10, Batch   1140, Loss  0.829881, Average Loss  0.830061, Time  0.237819
2021-09-16 23:53:40.233930 : Epoch 10, Batch   1141, Loss  0.850677, Average Loss  0.830275, Time  0.237407
2021-09-16 23:53:42.829803 : Epoch 10, Batch   1142, Loss  0.838468, Average Loss  0.830273, Time  0.237628
2021-09-16 23:53:45.413458 : Epoch 10, Batch   1143, Loss  0.811849, Average Loss  0.830074, Time  0.237577
2021-09-16 23:53:47.998953 : Epoch 10, Batch   1144, Loss  0.807245, Average Loss  0.829945, Time  0.237593
2021-09-16 23:53:50.581187 : Epoch 10, Batch   1145, Loss  0.823577, Average Loss  0.829920, Time  0.237607
2021-09-16 23:53:53.155196 : Epoch 10, Batch   1146, Loss  0.837298, Average Loss  0.829973, Time  0.237724
2021-09-16 23:53:55.735291 : Epoch 10, Batch   1147, Loss  0.816256, Average Loss  0.829885, Time  0.238191
2021-09-16 23:53:58.316069 : Epoch 10, Batch   1148, Loss  0.844925, Average Loss  0.829928, Time  0.238134
2021-09-16 23:54:00.900002 : Epoch 10, Batch   1149, Loss  0.858254, Average Loss  0.830000, Time  0.237580
2021-09-16 23:54:03.485679 : Epoch 10, Batch   1150, Loss  0.814916, Average Loss  0.829885, Time  0.237838
2021-09-16 23:54:06.073912 : Epoch 10, Batch   1151, Loss  0.823447, Average Loss  0.829881, Time  0.237428
2021-09-16 23:54:08.666077 : Epoch 10, Batch   1152, Loss  0.831180, Average Loss  0.829863, Time  0.237681
2021-09-16 23:54:11.256121 : Epoch 10, Batch   1153, Loss  0.831013, Average Loss  0.829812, Time  0.237951
2021-09-16 23:54:13.837949 : Epoch 10, Batch   1154, Loss  0.811032, Average Loss  0.829660, Time  0.237533
2021-09-16 23:54:16.629308 : Epoch 10, Batch   1155, Loss  0.806395, Average Loss  0.829534, Time  0.237520
2021-09-16 23:54:19.210942 : Epoch 10, Batch   1156, Loss  0.852521, Average Loss  0.829667, Time  0.237356
2021-09-16 23:54:21.795000 : Epoch 10, Batch   1157, Loss  0.819295, Average Loss  0.829544, Time  0.237613
2021-09-16 23:54:24.374277 : Epoch 10, Batch   1158, Loss  0.821876, Average Loss  0.829525, Time  0.237620
2021-09-16 23:54:26.954958 : Epoch 10, Batch   1159, Loss  0.840591, Average Loss  0.829640, Time  0.237662
2021-09-16 23:54:29.539952 : Epoch 10, Batch   1160, Loss  0.836253, Average Loss  0.829703, Time  0.237556
2021-09-16 23:54:32.124564 : Epoch 10, Batch   1161, Loss  0.824483, Average Loss  0.829638, Time  0.237453
2021-09-16 23:54:34.710208 : Epoch 10, Batch   1162, Loss  0.814167, Average Loss  0.829482, Time  0.237795
2021-09-16 23:54:37.292277 : Epoch 10, Batch   1163, Loss  0.818947, Average Loss  0.829451, Time  0.237641
2021-09-16 23:54:39.873015 : Epoch 10, Batch   1164, Loss  0.831842, Average Loss  0.829535, Time  0.237753
2021-09-16 23:54:42.457994 : Epoch 10, Batch   1165, Loss  0.813458, Average Loss  0.829506, Time  0.237743
2021-09-16 23:54:45.033209 : Epoch 10, Batch   1166, Loss  0.803080, Average Loss  0.829416, Time  0.237384
2021-09-16 23:54:47.664734 : Epoch 10, Batch   1167, Loss  0.838781, Average Loss  0.829298, Time  0.238051
2021-09-16 23:54:50.249699 : Epoch 10, Batch   1168, Loss  0.826951, Average Loss  0.829303, Time  0.238095
2021-09-16 23:54:52.831083 : Epoch 10, Batch   1169, Loss  0.823292, Average Loss  0.829182, Time  0.237844
2021-09-16 23:54:55.418241 : Epoch 10, Batch   1170, Loss  0.842294, Average Loss  0.829266, Time  0.238118
2021-09-16 23:54:58.000211 : Epoch 10, Batch   1171, Loss  0.825657, Average Loss  0.829279, Time  0.237393
2021-09-16 23:55:00.572255 : Epoch 10, Batch   1172, Loss  0.830092, Average Loss  0.829351, Time  0.237705
2021-09-16 23:55:03.189916 : Epoch 10, Batch   1173, Loss  0.851557, Average Loss  0.829457, Time  0.237777
2021-09-16 23:55:05.776981 : Epoch 10, Batch   1174, Loss  0.853555, Average Loss  0.829620, Time  0.238122
2021-09-16 23:55:08.365269 : Epoch 10, Batch   1175, Loss  0.835233, Average Loss  0.829627, Time  0.237472
2021-09-16 23:55:10.942980 : Epoch 10, Batch   1176, Loss  0.845913, Average Loss  0.829699, Time  0.237586
2021-09-16 23:55:13.528936 : Epoch 10, Batch   1177, Loss  0.848005, Average Loss  0.829800, Time  0.237334
2021-09-16 23:55:16.105196 : Epoch 10, Batch   1178, Loss  0.830044, Average Loss  0.829836, Time  0.237766
2021-09-16 23:55:18.683043 : Epoch 10, Batch   1179, Loss  0.843175, Average Loss  0.829990, Time  0.237343
2021-09-16 23:55:21.260694 : Epoch 10, Batch   1180, Loss  0.848999, Average Loss  0.830109, Time  0.237583
2021-09-16 23:55:23.836920 : Epoch 10, Batch   1181, Loss  0.843847, Average Loss  0.830115, Time  0.237733
2021-09-16 23:55:26.416760 : Epoch 10, Batch   1182, Loss  0.839418, Average Loss  0.830083, Time  0.237714
2021-09-16 23:55:28.998932 : Epoch 10, Batch   1183, Loss  0.817470, Average Loss  0.830014, Time  0.237735
2021-09-16 23:55:31.578717 : Epoch 10, Batch   1184, Loss  0.819360, Average Loss  0.829922, Time  0.237452
2021-09-16 23:55:34.170950 : Epoch 10, Batch   1185, Loss  0.838529, Average Loss  0.829948, Time  0.237621
2021-09-16 23:55:36.749957 : Epoch 10, Batch   1186, Loss  0.817672, Average Loss  0.829925, Time  0.237890
2021-09-16 23:55:39.332181 : Epoch 10, Batch   1187, Loss  0.852951, Average Loss  0.829963, Time  0.237489
2021-09-16 23:55:41.908767 : Epoch 10, Batch   1188, Loss  0.819891, Average Loss  0.830023, Time  0.237536
2021-09-16 23:55:44.499751 : Epoch 10, Batch   1189, Loss  0.852262, Average Loss  0.830075, Time  0.237726
2021-09-16 23:55:47.084193 : Epoch 10, Batch   1190, Loss  0.821350, Average Loss  0.830032, Time  0.237490
2021-09-16 23:55:49.667126 : Epoch 10, Batch   1191, Loss  0.820248, Average Loss  0.829922, Time  0.237751
2021-09-16 23:55:52.248914 : Epoch 10, Batch   1192, Loss  0.821042, Average Loss  0.829890, Time  0.237302
2021-09-16 23:55:54.837145 : Epoch 10, Batch   1193, Loss  0.820292, Average Loss  0.829783, Time  0.237939
2021-09-16 23:55:57.422817 : Epoch 10, Batch   1194, Loss  0.816513, Average Loss  0.829610, Time  0.237903
2021-09-16 23:56:00.005239 : Epoch 10, Batch   1195, Loss  0.831097, Average Loss  0.829680, Time  0.237651
2021-09-16 23:56:02.601194 : Epoch 10, Batch   1196, Loss  0.852642, Average Loss  0.829791, Time  0.237795
2021-09-16 23:59:58.464678 : CheckPoint: Validation Loss  0.00029409, Best Loss  0.00027885
2021-09-17 00:00:01.027206 : Epoch 10, Batch   1197, Loss  0.823673, Average Loss  0.829818, Time  0.238394
2021-09-17 00:00:03.625861 : Epoch 10, Batch   1198, Loss  0.818207, Average Loss  0.829764, Time  0.237688
2021-09-17 00:00:06.214981 : Epoch 10, Batch   1199, Loss  0.829706, Average Loss  0.829936, Time  0.237866
2021-09-17 00:00:08.796086 : Epoch 10, Batch   1200, Loss  0.813608, Average Loss  0.829847, Time  0.237315
2021-09-17 00:00:11.428844 : Epoch 10, Batch   1201, Loss  0.840811, Average Loss  0.829899, Time  0.237405
2021-09-17 00:00:14.004306 : Epoch 10, Batch   1202, Loss  0.835142, Average Loss  0.829885, Time  0.237829
2021-09-17 00:00:16.578969 : Epoch 10, Batch   1203, Loss  0.822245, Average Loss  0.829800, Time  0.237541
2021-09-17 00:00:19.188790 : Epoch 10, Batch   1204, Loss  0.810771, Average Loss  0.829753, Time  0.237788
2021-09-17 00:00:21.769096 : Epoch 10, Batch   1205, Loss  0.817562, Average Loss  0.829540, Time  0.237574
2021-09-17 00:00:24.350818 : Epoch 10, Batch   1206, Loss  0.839275, Average Loss  0.829519, Time  0.241943
2021-09-17 00:00:26.929683 : Epoch 10, Batch   1207, Loss  0.846950, Average Loss  0.829618, Time  0.237301
2021-09-17 00:00:29.509009 : Epoch 10, Batch   1208, Loss  0.823591, Average Loss  0.829542, Time  0.237343
2021-09-17 00:00:32.095735 : Epoch 10, Batch   1209, Loss  0.821437, Average Loss  0.829428, Time  0.239345
2021-09-17 00:00:34.666854 : Epoch 10, Batch   1210, Loss  0.835026, Average Loss  0.829395, Time  0.237394
2021-09-17 00:00:37.239719 : Epoch 10, Batch   1211, Loss  0.824584, Average Loss  0.829345, Time  0.237592
2021-09-17 00:00:39.813855 : Epoch 10, Batch   1212, Loss  0.841958, Average Loss  0.829414, Time  0.238200
2021-09-17 00:00:42.387719 : Epoch 10, Batch   1213, Loss  0.832209, Average Loss  0.829475, Time  0.237212
2021-09-17 00:00:44.960675 : Epoch 10, Batch   1214, Loss  0.829359, Average Loss  0.829391, Time  0.237409
2021-09-17 00:00:47.537850 : Epoch 10, Batch   1215, Loss  0.848000, Average Loss  0.829572, Time  0.237241
2021-09-17 00:00:50.110888 : Epoch 10, Batch   1216, Loss  0.836651, Average Loss  0.829539, Time  0.237263
2021-09-17 00:00:52.685664 : Epoch 10, Batch   1217, Loss  0.845002, Average Loss  0.829683, Time  0.237501
2021-09-17 00:00:55.260871 : Epoch 10, Batch   1218, Loss  0.807170, Average Loss  0.829607, Time  0.237184
2021-09-17 00:00:57.838833 : Epoch 10, Batch   1219, Loss  0.818905, Average Loss  0.829527, Time  0.237397
2021-09-17 00:01:00.424826 : Epoch 10, Batch   1220, Loss  0.844478, Average Loss  0.829583, Time  0.237379
2021-09-17 00:01:03.002683 : Epoch 10, Batch   1221, Loss  0.840953, Average Loss  0.829613, Time  0.237240
2021-09-17 00:01:05.579054 : Epoch 10, Batch   1222, Loss  0.827551, Average Loss  0.829597, Time  0.237186
2021-09-17 00:01:08.158736 : Epoch 10, Batch   1223, Loss  0.823444, Average Loss  0.829584, Time  0.237380
2021-09-17 00:01:10.746795 : Epoch 10, Batch   1224, Loss  0.823160, Average Loss  0.829630, Time  0.237297
2021-09-17 00:01:13.322892 : Epoch 10, Batch   1225, Loss  0.840568, Average Loss  0.829637, Time  0.237362
2021-09-17 00:01:15.895612 : Epoch 10, Batch   1226, Loss  0.837072, Average Loss  0.829613, Time  0.237291
2021-09-17 00:01:18.472067 : Epoch 10, Batch   1227, Loss  0.807375, Average Loss  0.829561, Time  0.237224
2021-09-17 00:01:21.043862 : Epoch 10, Batch   1228, Loss  0.826902, Average Loss  0.829641, Time  0.237347
2021-09-17 00:01:23.617462 : Epoch 10, Batch   1229, Loss  0.849547, Average Loss  0.829692, Time  0.237332
2021-09-17 00:01:26.195112 : Epoch 10, Batch   1230, Loss  0.818527, Average Loss  0.829498, Time  0.237501
2021-09-17 00:01:28.776718 : Epoch 10, Batch   1231, Loss  0.852760, Average Loss  0.829643, Time  0.237633
2021-09-17 00:01:31.361950 : Epoch 10, Batch   1232, Loss  0.846297, Average Loss  0.829728, Time  0.238866
2021-09-17 00:01:33.933370 : Epoch 10, Batch   1233, Loss  0.817691, Average Loss  0.829765, Time  0.237580
2021-09-17 00:01:36.507136 : Epoch 10, Batch   1234, Loss  0.848310, Average Loss  0.829824, Time  0.237878
2021-09-17 00:01:39.081071 : Epoch 10, Batch   1235, Loss  0.824258, Average Loss  0.829945, Time  0.238520
2021-09-17 00:01:41.658074 : Epoch 10, Batch   1236, Loss  0.819137, Average Loss  0.829792, Time  0.237354
2021-09-17 00:01:44.237702 : Epoch 10, Batch   1237, Loss  0.821898, Average Loss  0.829707, Time  0.238077
2021-09-17 00:01:46.848897 : Epoch 10, Batch   1238, Loss  0.824808, Average Loss  0.829598, Time  0.237295
2021-09-17 00:01:49.420894 : Epoch 10, Batch   1239, Loss  0.820848, Average Loss  0.829524, Time  0.237213
2021-09-17 00:01:51.994273 : Epoch 10, Batch   1240, Loss  0.817444, Average Loss  0.829628, Time  0.237340
2021-09-17 00:01:54.569125 : Epoch 10, Batch   1241, Loss  0.845719, Average Loss  0.829713, Time  0.237275
2021-09-17 00:01:57.148918 : Epoch 10, Batch   1242, Loss  0.843839, Average Loss  0.829775, Time  0.237451
2021-09-17 00:01:59.719926 : Epoch 10, Batch   1243, Loss  0.820958, Average Loss  0.829697, Time  0.237261
2021-09-17 00:02:02.310751 : Epoch 10, Batch   1244, Loss  0.837427, Average Loss  0.829632, Time  0.237227
2021-09-17 00:02:04.891973 : Epoch 10, Batch   1245, Loss  0.847479, Average Loss  0.829882, Time  0.237374
2021-09-17 00:02:07.460662 : Epoch 10, Batch   1246, Loss  0.825993, Average Loss  0.829906, Time  0.237168
2021-09-17 00:02:10.036942 : Epoch 10, Batch   1247, Loss  0.846902, Average Loss  0.830011, Time  0.237288
2021-09-17 00:02:12.608936 : Epoch 10, Batch   1248, Loss  0.844331, Average Loss  0.830006, Time  0.237295
2021-09-17 00:02:15.186913 : Epoch 10, Batch   1249, Loss  0.818451, Average Loss  0.830119, Time  0.237092
2021-09-17 00:02:17.763812 : Epoch 10, Batch   1250, Loss  0.837251, Average Loss  0.830109, Time  0.237147
2021-09-17 00:02:20.345685 : Epoch 10, Batch   1251, Loss  0.814727, Average Loss  0.830091, Time  0.237623
2021-09-17 00:02:22.916910 : Epoch 10, Batch   1252, Loss  0.816729, Average Loss  0.829994, Time  0.237973
2021-09-17 00:02:25.494735 : Epoch 10, Batch   1253, Loss  0.842494, Average Loss  0.830014, Time  0.239483
2021-09-17 00:02:28.086882 : Epoch 10, Batch   1254, Loss  0.831998, Average Loss  0.830001, Time  0.237372
2021-09-17 00:02:30.672923 : Epoch 10, Batch   1255, Loss  0.814537, Average Loss  0.829886, Time  0.237643
2021-09-17 00:02:33.268751 : Epoch 10, Batch   1256, Loss  0.826301, Average Loss  0.829829, Time  0.237915
2021-09-17 00:02:35.866919 : Epoch 10, Batch   1257, Loss  0.857692, Average Loss  0.830011, Time  0.237438
2021-09-17 00:02:38.440999 : Epoch 10, Batch   1258, Loss  0.845081, Average Loss  0.830106, Time  0.237608
2021-09-17 00:02:41.016920 : Epoch 10, Batch   1259, Loss  0.823813, Average Loss  0.830093, Time  0.237847
2021-09-17 00:02:43.589061 : Epoch 10, Batch   1260, Loss  0.819149, Average Loss  0.830021, Time  0.237439
2021-09-17 00:02:46.170926 : Epoch 10, Batch   1261, Loss  0.829541, Average Loss  0.830104, Time  0.237373
2021-09-17 00:02:48.740958 : Epoch 10, Batch   1262, Loss  0.846026, Average Loss  0.830186, Time  0.237180
2021-09-17 00:02:51.325673 : Epoch 10, Batch   1263, Loss  0.841357, Average Loss  0.830236, Time  0.237550
2021-09-17 00:02:53.904885 : Epoch 10, Batch   1264, Loss  0.808193, Average Loss  0.830151, Time  0.237248
2021-09-17 00:02:56.485677 : Epoch 10, Batch   1265, Loss  0.836753, Average Loss  0.830127, Time  0.237347
2021-09-17 00:02:59.055132 : Epoch 10, Batch   1266, Loss  0.832132, Average Loss  0.830090, Time  0.237454
2021-09-17 00:03:01.635722 : Epoch 10, Batch   1267, Loss  0.843592, Average Loss  0.830142, Time  0.237413
2021-09-17 00:03:04.226131 : Epoch 10, Batch   1268, Loss  0.839964, Average Loss  0.830159, Time  0.237724
2021-09-17 00:03:06.811658 : Epoch 10, Batch   1269, Loss  0.821270, Average Loss  0.830103, Time  0.237334
2021-09-17 00:03:09.393741 : Epoch 10, Batch   1270, Loss  0.803255, Average Loss  0.829917, Time  0.237375
2021-09-17 00:03:11.973666 : Epoch 10, Batch   1271, Loss  0.821366, Average Loss  0.829893, Time  0.237568
2021-09-17 00:03:14.547948 : Epoch 10, Batch   1272, Loss  0.847211, Average Loss  0.829877, Time  0.237111
2021-09-17 00:03:17.124721 : Epoch 10, Batch   1273, Loss  0.836107, Average Loss  0.829981, Time  0.237368
2021-09-17 00:03:19.704125 : Epoch 10, Batch   1274, Loss  0.811532, Average Loss  0.829900, Time  0.237312
2021-09-17 00:03:22.272565 : Epoch 10, Batch   1275, Loss  0.815730, Average Loss  0.829932, Time  0.237318
2021-09-17 00:03:24.853986 : Epoch 10, Batch   1276, Loss  0.823031, Average Loss  0.829911, Time  0.237572
2021-09-17 00:03:27.435887 : Epoch 10, Batch   1277, Loss  0.819839, Average Loss  0.829892, Time  0.237222
2021-09-17 00:03:30.011016 : Epoch 10, Batch   1278, Loss  0.852171, Average Loss  0.830075, Time  0.237531
2021-09-17 00:03:32.588947 : Epoch 10, Batch   1279, Loss  0.823472, Average Loss  0.830027, Time  0.237663
2021-09-17 00:03:35.166781 : Epoch 10, Batch   1280, Loss  0.835463, Average Loss  0.830117, Time  0.237685
2021-09-17 00:03:37.746732 : Epoch 10, Batch   1281, Loss  0.833481, Average Loss  0.830102, Time  0.237729
2021-09-17 00:03:40.318982 : Epoch 10, Batch   1282, Loss  0.802444, Average Loss  0.829920, Time  0.237348
2021-09-17 00:03:42.884097 : Epoch 10, Batch   1283, Loss  0.817992, Average Loss  0.829714, Time  0.237478
2021-09-17 00:03:45.458084 : Epoch 10, Batch   1284, Loss  0.821987, Average Loss  0.829658, Time  0.237034
2021-09-17 00:03:48.038718 : Epoch 10, Batch   1285, Loss  0.849132, Average Loss  0.829765, Time  0.237899
2021-09-17 00:03:50.617898 : Epoch 10, Batch   1286, Loss  0.821436, Average Loss  0.829775, Time  0.237387
2021-09-17 00:03:53.199730 : Epoch 10, Batch   1287, Loss  0.827391, Average Loss  0.829800, Time  0.237398
2021-09-17 00:03:55.770862 : Epoch 10, Batch   1288, Loss  0.825358, Average Loss  0.829831, Time  0.237708
2021-09-17 00:03:58.347953 : Epoch 10, Batch   1289, Loss  0.829601, Average Loss  0.829743, Time  0.237318
2021-09-17 00:04:00.926371 : Epoch 10, Batch   1290, Loss  0.824517, Average Loss  0.829794, Time  0.237454
2021-09-17 00:04:03.500143 : Epoch 10, Batch   1291, Loss  0.846133, Average Loss  0.829917, Time  0.237398
2021-09-17 00:04:06.083681 : Epoch 10, Batch   1292, Loss  0.820663, Average Loss  0.829888, Time  0.237398
2021-09-17 00:04:08.659163 : Epoch 10, Batch   1293, Loss  0.832260, Average Loss  0.829953, Time  0.237375
2021-09-17 00:04:11.237021 : Epoch 10, Batch   1294, Loss  0.809775, Average Loss  0.829778, Time  0.237272
2021-09-17 00:04:13.817954 : Epoch 10, Batch   1295, Loss  0.810135, Average Loss  0.829728, Time  0.237395
2021-09-17 00:04:22.395045 : Epoch 10, Batch   1296, Loss  0.838576, Average Loss  0.829865, Time  0.277333
2021-09-17 00:08:18.816691 : CheckPoint: Validation Loss  0.00028220, Best Loss  0.00027885
2021-09-17 00:08:21.390915 : Epoch 10, Batch   1297, Loss  0.822715, Average Loss  0.829731, Time  0.237420
2021-09-17 00:08:23.967910 : Epoch 10, Batch   1298, Loss  0.824017, Average Loss  0.829763, Time  0.237273
2021-09-17 00:08:26.544669 : Epoch 10, Batch   1299, Loss  0.817767, Average Loss  0.829851, Time  0.237401
2021-09-17 00:08:29.122046 : Epoch 10, Batch   1300, Loss  0.844419, Average Loss  0.830003, Time  0.237365
2021-09-17 00:08:31.699373 : Epoch 10, Batch   1301, Loss  0.816290, Average Loss  0.829914, Time  0.237390
2021-09-17 00:08:34.281142 : Epoch 10, Batch   1302, Loss  0.825930, Average Loss  0.829895, Time  0.237447
2021-09-17 00:08:36.862728 : Epoch 10, Batch   1303, Loss  0.817492, Average Loss  0.829898, Time  0.237315
2021-09-17 00:08:39.437742 : Epoch 10, Batch   1304, Loss  0.813174, Average Loss  0.829769, Time  0.237616
2021-09-17 00:08:42.012926 : Epoch 10, Batch   1305, Loss  0.841584, Average Loss  0.829902, Time  0.236997
2021-09-17 00:08:44.590164 : Epoch 10, Batch   1306, Loss  0.846092, Average Loss  0.829908, Time  0.237342
2021-09-17 00:08:47.157003 : Epoch 10, Batch   1307, Loss  0.805476, Average Loss  0.829641, Time  0.237244
2021-09-17 00:08:49.727154 : Epoch 10, Batch   1308, Loss  0.852220, Average Loss  0.829762, Time  0.237036
2021-09-17 00:08:52.295958 : Epoch 10, Batch   1309, Loss  0.857530, Average Loss  0.829907, Time  0.237354
2021-09-17 00:08:54.872226 : Epoch 10, Batch   1310, Loss  0.830152, Average Loss  0.829998, Time  0.237343
2021-09-17 00:08:57.453911 : Epoch 10, Batch   1311, Loss  0.853975, Average Loss  0.830240, Time  0.238133
2021-09-17 00:09:00.047677 : Epoch 10, Batch   1312, Loss  0.810252, Average Loss  0.830035, Time  0.237706
2021-09-17 00:09:02.634954 : Epoch 10, Batch   1313, Loss  0.838979, Average Loss  0.830247, Time  0.237348
2021-09-17 00:09:05.218281 : Epoch 10, Batch   1314, Loss  0.823385, Average Loss  0.830181, Time  0.237651
2021-09-17 00:09:07.985716 : Epoch 10, Batch   1315, Loss  0.832306, Average Loss  0.830109, Time  0.237305
2021-09-17 00:09:10.561164 : Epoch 10, Batch   1316, Loss  0.826274, Average Loss  0.830043, Time  0.237194
2021-09-17 00:09:13.133949 : Epoch 10, Batch   1317, Loss  0.835353, Average Loss  0.830052, Time  0.237303
2021-09-17 00:09:15.702697 : Epoch 10, Batch   1318, Loss  0.830306, Average Loss  0.829995, Time  0.237679
2021-09-17 00:09:18.284685 : Epoch 10, Batch   1319, Loss  0.847095, Average Loss  0.830185, Time  0.237482
2021-09-17 00:09:20.861934 : Epoch 10, Batch   1320, Loss  0.832709, Average Loss  0.830112, Time  0.237257
2021-09-17 00:09:23.427977 : Epoch 10, Batch   1321, Loss  0.835448, Average Loss  0.830081, Time  0.237201
2021-09-17 00:09:26.004770 : Epoch 10, Batch   1322, Loss  0.831677, Average Loss  0.830228, Time  0.237894
2021-09-17 00:09:28.581151 : Epoch 10, Batch   1323, Loss  0.856350, Average Loss  0.830408, Time  0.237256
2021-09-17 00:09:31.165764 : Epoch 10, Batch   1324, Loss  0.830732, Average Loss  0.830490, Time  0.237219
2021-09-17 00:09:33.745659 : Epoch 10, Batch   1325, Loss  0.834352, Average Loss  0.830605, Time  0.237476
2021-09-17 00:09:36.323856 : Epoch 10, Batch   1326, Loss  0.823697, Average Loss  0.830524, Time  0.237462
2021-09-17 00:09:38.887779 : Epoch 10, Batch   1327, Loss  0.840888, Average Loss  0.830560, Time  0.237269
2021-09-17 00:09:41.473887 : Epoch 10, Batch   1328, Loss  0.831759, Average Loss  0.830597, Time  0.237586
2021-09-17 00:09:44.060060 : Epoch 10, Batch   1329, Loss  0.821988, Average Loss  0.830342, Time  0.237550
2021-09-17 00:09:46.628214 : Epoch 10, Batch   1330, Loss  0.823076, Average Loss  0.830310, Time  0.237849
2021-09-17 00:09:49.200135 : Epoch 10, Batch   1331, Loss  0.836884, Average Loss  0.830357, Time  0.237125
2021-09-17 00:09:51.777898 : Epoch 10, Batch   1332, Loss  0.807371, Average Loss  0.830223, Time  0.237524
2021-09-17 00:09:54.357329 : Epoch 10, Batch   1333, Loss  0.834622, Average Loss  0.830230, Time  0.237500
2021-09-17 00:09:56.947932 : Epoch 10, Batch   1334, Loss  0.843010, Average Loss  0.830284, Time  0.237415
2021-09-17 00:09:59.532898 : Epoch 10, Batch   1335, Loss  0.824149, Average Loss  0.830230, Time  0.237794
2021-09-17 00:10:02.122664 : Epoch 10, Batch   1336, Loss  0.844435, Average Loss  0.830313, Time  0.237327
2021-09-17 00:10:04.706747 : Epoch 10, Batch   1337, Loss  0.836240, Average Loss  0.830355, Time  0.237819
2021-09-17 00:10:07.295149 : Epoch 10, Batch   1338, Loss  0.837502, Average Loss  0.830306, Time  0.238137
2021-09-17 00:10:09.887888 : Epoch 10, Batch   1339, Loss  0.839226, Average Loss  0.830373, Time  0.237355
2021-09-17 00:10:12.458128 : Epoch 10, Batch   1340, Loss  0.820982, Average Loss  0.830328, Time  0.237529
2021-09-17 00:10:15.040777 : Epoch 10, Batch   1341, Loss  0.857496, Average Loss  0.830362, Time  0.237201
2021-09-17 00:10:17.634668 : Epoch 10, Batch   1342, Loss  0.839142, Average Loss  0.830366, Time  0.237496
2021-09-17 00:10:20.211938 : Epoch 10, Batch   1343, Loss  0.840092, Average Loss  0.830507, Time  0.237402
2021-09-17 00:10:22.785662 : Epoch 10, Batch   1344, Loss  0.842968, Average Loss  0.830686, Time  0.237293
2021-09-17 00:10:25.357703 : Epoch 10, Batch   1345, Loss  0.835705, Average Loss  0.830746, Time  0.237306
2021-09-17 00:10:27.931671 : Epoch 10, Batch   1346, Loss  0.844259, Average Loss  0.830781, Time  0.237539
2021-09-17 00:10:30.508929 : Epoch 10, Batch   1347, Loss  0.851019, Average Loss  0.830955, Time  0.237421
2021-09-17 00:10:33.085892 : Epoch 10, Batch   1348, Loss  0.834947, Average Loss  0.830905, Time  0.237284
2021-09-17 00:10:35.659908 : Epoch 10, Batch   1349, Loss  0.814146, Average Loss  0.830685, Time  0.237463
2021-09-17 00:10:38.246839 : Epoch 10, Batch   1350, Loss  0.827522, Average Loss  0.830748, Time  0.237318
2021-09-17 00:10:40.820966 : Epoch 10, Batch   1351, Loss  0.845763, Average Loss  0.830859, Time  0.237400
2021-09-17 00:10:43.404810 : Epoch 10, Batch   1352, Loss  0.853442, Average Loss  0.830970, Time  0.237657
2021-09-17 00:10:45.980723 : Epoch 10, Batch   1353, Loss  0.842158, Average Loss  0.831026, Time  0.237597
2021-09-17 00:10:48.549662 : Epoch 10, Batch   1354, Loss  0.843884, Average Loss  0.831190, Time  0.237512
2021-09-17 00:10:51.126907 : Epoch 10, Batch   1355, Loss  0.838919, Average Loss  0.831353, Time  0.237201
2021-09-17 00:10:53.697035 : Epoch 10, Batch   1356, Loss  0.813344, Average Loss  0.831157, Time  0.237178
2021-09-17 00:10:56.275701 : Epoch 10, Batch   1357, Loss  0.817418, Average Loss  0.831148, Time  0.237435
2021-09-17 00:10:58.852679 : Epoch 10, Batch   1358, Loss  0.823353, Average Loss  0.831155, Time  0.237311
2021-09-17 00:11:01.427116 : Epoch 10, Batch   1359, Loss  0.840074, Average Loss  0.831153, Time  0.237322
2021-09-17 00:11:04.000728 : Epoch 10, Batch   1360, Loss  0.817870, Average Loss  0.831061, Time  0.237764
2021-09-17 00:11:06.574735 : Epoch 10, Batch   1361, Loss  0.839876, Average Loss  0.831138, Time  0.238578
2021-09-17 00:11:09.149254 : Epoch 10, Batch   1362, Loss  0.829601, Average Loss  0.831215, Time  0.237566
2021-09-17 00:11:11.729689 : Epoch 10, Batch   1363, Loss  0.833981, Average Loss  0.831290, Time  0.237319
2021-09-17 00:11:14.310026 : Epoch 10, Batch   1364, Loss  0.823163, Average Loss  0.831247, Time  0.237393
2021-09-17 00:11:16.890098 : Epoch 10, Batch   1365, Loss  0.809993, Average Loss  0.831229, Time  0.237401
2021-09-17 00:11:19.459999 : Epoch 10, Batch   1366, Loss  0.826460, Average Loss  0.831346, Time  0.237266
2021-09-17 00:11:22.044962 : Epoch 10, Batch   1367, Loss  0.837911, Average Loss  0.831342, Time  0.237287
2021-09-17 00:11:24.640673 : Epoch 10, Batch   1368, Loss  0.819515, Average Loss  0.831305, Time  0.237430
2021-09-17 00:11:27.221950 : Epoch 10, Batch   1369, Loss  0.839597, Average Loss  0.831386, Time  0.237409
2021-09-17 00:11:29.791118 : Epoch 10, Batch   1370, Loss  0.823893, Average Loss  0.831294, Time  0.237079
2021-09-17 00:11:32.363659 : Epoch 10, Batch   1371, Loss  0.839885, Average Loss  0.831365, Time  0.237407
2021-09-17 00:11:34.945953 : Epoch 10, Batch   1372, Loss  0.842189, Average Loss  0.831426, Time  0.237643
2021-09-17 00:11:37.518045 : Epoch 10, Batch   1373, Loss  0.828512, Average Loss  0.831311, Time  0.238146
2021-09-17 00:11:40.086825 : Epoch 10, Batch   1374, Loss  0.832771, Average Loss  0.831207, Time  0.237153
2021-09-17 00:11:42.655326 : Epoch 10, Batch   1375, Loss  0.843930, Average Loss  0.831250, Time  0.237577
2021-09-17 00:11:45.239709 : Epoch 10, Batch   1376, Loss  0.819776, Average Loss  0.831119, Time  0.237355
2021-09-17 00:11:47.831846 : Epoch 10, Batch   1377, Loss  0.829285, Average Loss  0.831026, Time  0.237440
2021-09-17 00:11:50.418669 : Epoch 10, Batch   1378, Loss  0.824921, Average Loss  0.831000, Time  0.237184
2021-09-17 00:11:52.997689 : Epoch 10, Batch   1379, Loss  0.827193, Average Loss  0.830920, Time  0.237300
2021-09-17 00:11:55.567907 : Epoch 10, Batch   1380, Loss  0.814489, Average Loss  0.830748, Time  0.237451
2021-09-17 00:11:58.139886 : Epoch 10, Batch   1381, Loss  0.849470, Average Loss  0.830776, Time  0.237282
2021-09-17 00:12:00.727363 : Epoch 10, Batch   1382, Loss  0.835208, Average Loss  0.830755, Time  0.237261
2021-09-17 00:12:03.295911 : Epoch 10, Batch   1383, Loss  0.838133, Average Loss  0.830858, Time  0.237506
2021-09-17 00:12:05.867905 : Epoch 10, Batch   1384, Loss  0.824810, Average Loss  0.830885, Time  0.237264
2021-09-17 00:12:08.460018 : Epoch 10, Batch   1385, Loss  0.807828, Average Loss  0.830732, Time  0.237873
2021-09-17 00:12:11.052793 : Epoch 10, Batch   1386, Loss  0.835716, Average Loss  0.830822, Time  0.237327
2021-09-17 00:12:13.625686 : Epoch 10, Batch   1387, Loss  0.832755, Average Loss  0.830721, Time  0.237533
2021-09-17 00:12:16.199849 : Epoch 10, Batch   1388, Loss  0.843633, Average Loss  0.830840, Time  0.237444
2021-09-17 00:12:18.779856 : Epoch 10, Batch   1389, Loss  0.816125, Average Loss  0.830659, Time  0.237292
2021-09-17 00:12:21.358872 : Epoch 10, Batch   1390, Loss  0.832665, Average Loss  0.830716, Time  0.237297
2021-09-17 00:12:23.930945 : Epoch 10, Batch   1391, Loss  0.836036, Average Loss  0.830795, Time  0.237462
2021-09-17 00:12:26.512884 : Epoch 10, Batch   1392, Loss  0.839695, Average Loss  0.830888, Time  0.237326
2021-09-17 00:12:29.092124 : Epoch 10, Batch   1393, Loss  0.846940, Average Loss  0.831021, Time  0.237489
2021-09-17 00:12:31.669925 : Epoch 10, Batch   1394, Loss  0.836857, Average Loss  0.831123, Time  0.237321
2021-09-17 00:12:34.253031 : Epoch 10, Batch   1395, Loss  0.827204, Average Loss  0.831103, Time  0.237239
2021-09-17 00:12:36.826895 : Epoch 10, Batch   1396, Loss  0.832495, Average Loss  0.831003, Time  0.237266
2021-09-17 00:16:31.284670 : CheckPoint: Validation Loss  0.00028936, Best Loss  0.00027885
2021-09-17 00:16:33.831868 : Epoch 10, Batch   1397, Loss  0.817749, Average Loss  0.830973, Time  0.240687
2021-09-17 00:16:36.381079 : Epoch 10, Batch   1398, Loss  0.827282, Average Loss  0.831018, Time  0.237475
2021-09-17 00:16:38.932979 : Epoch 10, Batch   1399, Loss  0.857179, Average Loss  0.831156, Time  0.237199
2021-09-17 00:16:41.493693 : Epoch 10, Batch   1400, Loss  0.821664, Average Loss  0.831196, Time  0.237342
2021-09-17 00:16:44.053757 : Epoch 10, Batch   1401, Loss  0.840076, Average Loss  0.831192, Time  0.237787
2021-09-17 00:16:46.596883 : Epoch 10, Batch   1402, Loss  0.803674, Average Loss  0.831035, Time  0.237331
2021-09-17 00:16:49.151049 : Epoch 10, Batch   1403, Loss  0.830126, Average Loss  0.831074, Time  0.237471
2021-09-17 00:16:51.703760 : Epoch 10, Batch   1404, Loss  0.832739, Average Loss  0.831184, Time  0.237474
2021-09-17 00:16:54.257708 : Epoch 10, Batch   1405, Loss  0.841393, Average Loss  0.831303, Time  0.237652
2021-09-17 00:16:56.816183 : Epoch 10, Batch   1406, Loss  0.838871, Average Loss  0.831301, Time  0.237290
2021-09-17 00:16:59.356964 : Epoch 10, Batch   1407, Loss  0.820300, Average Loss  0.831168, Time  0.237134
2021-09-17 00:17:01.914645 : Epoch 10, Batch   1408, Loss  0.813742, Average Loss  0.831119, Time  0.237728
2021-09-17 00:17:04.463792 : Epoch 10, Batch   1409, Loss  0.816661, Average Loss  0.831095, Time  0.237388
2021-09-17 00:17:07.025674 : Epoch 10, Batch   1410, Loss  0.811677, Average Loss  0.830978, Time  0.237763
2021-09-17 00:17:09.578174 : Epoch 10, Batch   1411, Loss  0.823928, Average Loss  0.830975, Time  0.237201
2021-09-17 00:17:12.130160 : Epoch 10, Batch   1412, Loss  0.837938, Average Loss  0.830955, Time  0.237310
2021-09-17 00:17:14.679896 : Epoch 10, Batch   1413, Loss  0.827841, Average Loss  0.830933, Time  0.237206
2021-09-17 00:17:17.241681 : Epoch 10, Batch   1414, Loss  0.841994, Average Loss  0.830996, Time  0.238241
2021-09-17 00:17:19.791095 : Epoch 10, Batch   1415, Loss  0.837714, Average Loss  0.830945, Time  0.237161
2021-09-17 00:17:22.346866 : Epoch 10, Batch   1416, Loss  0.826906, Average Loss  0.830896, Time  0.237414
2021-09-17 00:17:24.908146 : Epoch 10, Batch   1417, Loss  0.844154, Average Loss  0.830892, Time  0.237441
2021-09-17 00:17:27.473143 : Epoch 10, Batch   1418, Loss  0.813390, Average Loss  0.830923, Time  0.237301
2021-09-17 00:17:30.034789 : Epoch 10, Batch   1419, Loss  0.843226, Average Loss  0.831045, Time  0.237815
2021-09-17 00:17:32.593663 : Epoch 10, Batch   1420, Loss  0.826824, Average Loss  0.830956, Time  0.237534
2021-09-17 00:17:35.152950 : Epoch 10, Batch   1421, Loss  0.843920, Average Loss  0.830971, Time  0.237461
2021-09-17 00:17:37.707120 : Epoch 10, Batch   1422, Loss  0.815801, Average Loss  0.830912, Time  0.237606
2021-09-17 00:17:40.266929 : Epoch 10, Batch   1423, Loss  0.835711, Average Loss  0.830974, Time  0.237762
2021-09-17 00:17:42.824944 : Epoch 10, Batch   1424, Loss  0.824233, Average Loss  0.830979, Time  0.237988
2021-09-17 00:17:45.374724 : Epoch 10, Batch   1425, Loss  0.827343, Average Loss  0.830913, Time  0.237346
2021-09-17 00:17:47.931165 : Epoch 10, Batch   1426, Loss  0.821379, Average Loss  0.830835, Time  0.237440
2021-09-17 00:17:50.495792 : Epoch 10, Batch   1427, Loss  0.851719, Average Loss  0.831056, Time  0.238072
2021-09-17 00:17:53.060697 : Epoch 10, Batch   1428, Loss  0.850585, Average Loss  0.831175, Time  0.237815
2021-09-17 00:17:55.617936 : Epoch 10, Batch   1429, Loss  0.823345, Average Loss  0.831044, Time  0.237827
2021-09-17 00:17:58.173677 : Epoch 10, Batch   1430, Loss  0.833480, Average Loss  0.831118, Time  0.237494
2021-09-17 00:18:00.728608 : Epoch 10, Batch   1431, Loss  0.859343, Average Loss  0.831151, Time  0.237922
2021-09-17 00:18:03.292935 : Epoch 10, Batch   1432, Loss  0.838313, Average Loss  0.831111, Time  0.237700
2021-09-17 00:18:05.855108 : Epoch 10, Batch   1433, Loss  0.839398, Average Loss  0.831220, Time  0.237404
2021-09-17 00:18:08.406801 : Epoch 10, Batch   1434, Loss  0.819580, Average Loss  0.831076, Time  0.237505
2021-09-17 00:18:10.966898 : Epoch 10, Batch   1435, Loss  0.819570, Average Loss  0.831053, Time  0.237478
2021-09-17 00:18:13.524006 : Epoch 10, Batch   1436, Loss  0.835389, Average Loss  0.831134, Time  0.237201
2021-09-17 00:18:16.077683 : Epoch 10, Batch   1437, Loss  0.812050, Average Loss  0.831085, Time  0.237220
2021-09-17 00:18:18.640055 : Epoch 10, Batch   1438, Loss  0.814955, Average Loss  0.831036, Time  0.237516
2021-09-17 00:18:21.187163 : Epoch 10, Batch   1439, Loss  0.837458, Average Loss  0.831119, Time  0.237297
2021-09-17 00:18:23.745781 : Epoch 10, Batch   1440, Loss  0.816558, Average Loss  0.831114, Time  0.238076
2021-09-17 00:18:26.296119 : Epoch 10, Batch   1441, Loss  0.821595, Average Loss  0.830994, Time  0.237319
2021-09-17 00:18:28.841696 : Epoch 10, Batch   1442, Loss  0.835405, Average Loss  0.830951, Time  0.237305
2021-09-17 00:18:31.399347 : Epoch 10, Batch   1443, Loss  0.836653, Average Loss  0.831030, Time  0.237351
2021-09-17 00:18:33.953685 : Epoch 10, Batch   1444, Loss  0.803383, Average Loss  0.830860, Time  0.237342
2021-09-17 00:18:36.510737 : Epoch 10, Batch   1445, Loss  0.801802, Average Loss  0.830631, Time  0.237438
2021-09-17 00:18:39.067904 : Epoch 10, Batch   1446, Loss  0.847052, Average Loss  0.830737, Time  0.237315
2021-09-17 00:18:41.618963 : Epoch 10, Batch   1447, Loss  0.821211, Average Loss  0.830608, Time  0.237475
2021-09-17 00:18:44.171728 : Epoch 10, Batch   1448, Loss  0.840883, Average Loss  0.830591, Time  0.238142
2021-09-17 00:18:46.720183 : Epoch 10, Batch   1449, Loss  0.835081, Average Loss  0.830674, Time  0.237332
2021-09-17 00:18:49.262941 : Epoch 10, Batch   1450, Loss  0.832261, Average Loss  0.830649, Time  0.237495
2021-09-17 00:18:51.813673 : Epoch 10, Batch   1451, Loss  0.831984, Average Loss  0.830735, Time  0.237463
2021-09-17 00:18:54.361001 : Epoch 10, Batch   1452, Loss  0.832114, Average Loss  0.830812, Time  0.237180
2021-09-17 00:18:56.909020 : Epoch 10, Batch   1453, Loss  0.838380, Average Loss  0.830792, Time  0.237502
2021-09-17 00:18:59.461206 : Epoch 10, Batch   1454, Loss  0.840537, Average Loss  0.830834, Time  0.237540
2021-09-17 00:19:02.008670 : Epoch 10, Batch   1455, Loss  0.835597, Average Loss  0.830940, Time  0.237437
2021-09-17 00:19:04.568153 : Epoch 10, Batch   1456, Loss  0.834579, Average Loss  0.830981, Time  0.237542
2021-09-17 00:19:07.121184 : Epoch 10, Batch   1457, Loss  0.849072, Average Loss  0.830938, Time  0.237596
2021-09-17 00:19:09.673834 : Epoch 10, Batch   1458, Loss  0.846292, Average Loss  0.830944, Time  0.237409
2021-09-17 00:19:12.227148 : Epoch 10, Batch   1459, Loss  0.834178, Average Loss  0.830996, Time  0.237202
2021-09-17 00:19:14.771663 : Epoch 10, Batch   1460, Loss  0.842613, Average Loss  0.831113, Time  0.237395
2021-09-17 00:19:17.321000 : Epoch 10, Batch   1461, Loss  0.835942, Average Loss  0.831145, Time  0.237548
2021-09-17 00:19:19.878670 : Epoch 10, Batch   1462, Loss  0.821908, Average Loss  0.831025, Time  0.238033
2021-09-17 00:19:22.424061 : Epoch 10, Batch   1463, Loss  0.832260, Average Loss  0.830979, Time  0.237274
2021-09-17 00:19:24.976150 : Epoch 10, Batch   1464, Loss  0.830125, Average Loss  0.831089, Time  0.237484
2021-09-17 00:19:27.535883 : Epoch 10, Batch   1465, Loss  0.817039, Average Loss  0.830990, Time  0.237359
2021-09-17 00:19:30.084296 : Epoch 10, Batch   1466, Loss  0.838108, Average Loss  0.831020, Time  0.237490
2021-09-17 00:19:32.633158 : Epoch 10, Batch   1467, Loss  0.820317, Average Loss  0.830904, Time  0.237260
2021-09-17 00:19:35.183702 : Epoch 10, Batch   1468, Loss  0.828400, Average Loss  0.830846, Time  0.237150
2021-09-17 00:19:37.730157 : Epoch 10, Batch   1469, Loss  0.832784, Average Loss  0.830904, Time  0.237385
2021-09-17 00:19:40.278873 : Epoch 10, Batch   1470, Loss  0.829643, Average Loss  0.831035, Time  0.237238
2021-09-17 00:19:42.830659 : Epoch 10, Batch   1471, Loss  0.829922, Average Loss  0.831078, Time  0.237416
2021-09-17 00:19:45.384893 : Epoch 10, Batch   1472, Loss  0.825767, Average Loss  0.830971, Time  0.238102
2021-09-17 00:19:47.933131 : Epoch 10, Batch   1473, Loss  0.832471, Average Loss  0.830953, Time  0.236997
2021-09-17 00:19:50.482132 : Epoch 10, Batch   1474, Loss  0.832746, Average Loss  0.831059, Time  0.237340
2021-09-17 00:19:53.036140 : Epoch 10, Batch   1475, Loss  0.829880, Average Loss  0.831130, Time  0.237358
2021-09-17 00:19:55.583110 : Epoch 10, Batch   1476, Loss  0.846609, Average Loss  0.831248, Time  0.237356
2021-09-17 00:19:58.126986 : Epoch 10, Batch   1477, Loss  0.829571, Average Loss  0.831296, Time  0.237462
2021-09-17 00:20:00.671991 : Epoch 10, Batch   1478, Loss  0.832824, Average Loss  0.831199, Time  0.237503
2021-09-17 00:20:03.231887 : Epoch 10, Batch   1479, Loss  0.831978, Average Loss  0.831242, Time  0.237657
2021-09-17 00:20:05.782675 : Epoch 10, Batch   1480, Loss  0.856049, Average Loss  0.831345, Time  0.237556
2021-09-17 00:20:08.329897 : Epoch 10, Batch   1481, Loss  0.817814, Average Loss  0.831267, Time  0.237386
2021-09-17 00:20:10.878138 : Epoch 10, Batch   1482, Loss  0.836271, Average Loss  0.831436, Time  0.237332
2021-09-17 00:20:13.426976 : Epoch 10, Batch   1483, Loss  0.824600, Average Loss  0.831469, Time  0.237308
2021-09-17 00:20:15.976004 : Epoch 10, Batch   1484, Loss  0.836203, Average Loss  0.831540, Time  0.237168
2021-09-17 00:20:18.529910 : Epoch 10, Batch   1485, Loss  0.831588, Average Loss  0.831452, Time  0.237356
2021-09-17 00:20:21.087904 : Epoch 10, Batch   1486, Loss  0.839506, Average Loss  0.831542, Time  0.237365
2021-09-17 00:20:23.628028 : Epoch 10, Batch   1487, Loss  0.821282, Average Loss  0.831512, Time  0.237528
2021-09-17 00:20:26.179210 : Epoch 10, Batch   1488, Loss  0.844343, Average Loss  0.831607, Time  0.237445
2021-09-17 00:20:28.731062 : Epoch 10, Batch   1489, Loss  0.826546, Average Loss  0.831592, Time  0.237227
2021-09-17 00:20:31.285730 : Epoch 10, Batch   1490, Loss  0.824578, Average Loss  0.831592, Time  0.237542
2021-09-17 00:20:33.833940 : Epoch 10, Batch   1491, Loss  0.827703, Average Loss  0.831500, Time  0.237672
2021-09-17 00:20:36.385875 : Epoch 10, Batch   1492, Loss  0.833282, Average Loss  0.831563, Time  0.237133
2021-09-17 00:20:38.935667 : Epoch 10, Batch   1493, Loss  0.822790, Average Loss  0.831515, Time  0.237414
2021-09-17 00:20:41.510075 : Epoch 10, Batch   1494, Loss  0.844678, Average Loss  0.831690, Time  0.237361
2021-09-17 00:20:44.055742 : Epoch 10, Batch   1495, Loss  0.814603, Average Loss  0.831712, Time  0.237559
2021-09-17 00:20:46.613160 : Epoch 10, Batch   1496, Loss  0.845541, Average Loss  0.831747, Time  0.238782
2021-09-17 00:24:42.088330 : CheckPoint: Validation Loss  0.00028449, Best Loss  0.00027885
2021-09-17 00:24:44.671025 : Epoch 10, Batch   1497, Loss  0.817877, Average Loss  0.831723, Time  0.271170
2021-09-17 00:24:47.255697 : Epoch 10, Batch   1498, Loss  0.821088, Average Loss  0.831708, Time  0.244163
2021-09-17 00:24:49.839954 : Epoch 10, Batch   1499, Loss  0.837174, Average Loss  0.831805, Time  0.237461
2021-09-17 00:24:52.429166 : Epoch 10, Batch   1500, Loss  0.849833, Average Loss  0.831832, Time  0.237481
2021-09-17 00:24:55.010706 : Epoch 10, Batch   1501, Loss  0.837392, Average Loss  0.831938, Time  0.237412
2021-09-17 00:24:57.596901 : Epoch 10, Batch   1502, Loss  0.810178, Average Loss  0.831859, Time  0.237260
2021-09-17 00:25:00.178739 : Epoch 10, Batch   1503, Loss  0.855304, Average Loss  0.832048, Time  0.237741
2021-09-17 00:25:02.767714 : Epoch 10, Batch   1504, Loss  0.828136, Average Loss  0.832123, Time  0.238271
2021-09-17 00:25:05.347729 : Epoch 10, Batch   1505, Loss  0.837800, Average Loss  0.832104, Time  0.237372
2021-09-17 00:25:07.923948 : Epoch 10, Batch   1506, Loss  0.846141, Average Loss  0.832104, Time  0.237599
2021-09-17 00:25:10.502685 : Epoch 10, Batch   1507, Loss  0.836210, Average Loss  0.832258, Time  0.237361
2021-09-17 00:25:13.085892 : Epoch 10, Batch   1508, Loss  0.824181, Average Loss  0.832118, Time  0.237700
2021-09-17 00:25:15.660683 : Epoch 10, Batch   1509, Loss  0.823958, Average Loss  0.831950, Time  0.237286
2021-09-17 00:25:18.230223 : Epoch 10, Batch   1510, Loss  0.852338, Average Loss  0.832061, Time  0.237182
2021-09-17 00:25:20.851687 : Epoch 10, Batch   1511, Loss  0.822754, Average Loss  0.831905, Time  0.237234
2021-09-17 00:25:23.428099 : Epoch 10, Batch   1512, Loss  0.829482, Average Loss  0.832001, Time  0.237070
2021-09-17 00:25:25.998723 : Epoch 10, Batch   1513, Loss  0.843621, Average Loss  0.832024, Time  0.237111
2021-09-17 00:25:28.575934 : Epoch 10, Batch   1514, Loss  0.845065, Average Loss  0.832133, Time  0.237099
2021-09-17 00:25:31.143868 : Epoch 10, Batch   1515, Loss  0.810188, Average Loss  0.832022, Time  0.237317
2021-09-17 00:25:33.720932 : Epoch 10, Batch   1516, Loss  0.835432, Average Loss  0.832068, Time  0.237430
2021-09-17 00:25:36.298083 : Epoch 10, Batch   1517, Loss  0.826298, Average Loss  0.832023, Time  0.237247
2021-09-17 00:25:38.872945 : Epoch 10, Batch   1518, Loss  0.819049, Average Loss  0.831966, Time  0.237159
2021-09-17 00:25:41.459888 : Epoch 10, Batch   1519, Loss  0.838858, Average Loss  0.831925, Time  0.237428
2021-09-17 00:25:44.036672 : Epoch 10, Batch   1520, Loss  0.839521, Average Loss  0.831959, Time  0.237525
2021-09-17 00:25:46.614905 : Epoch 10, Batch   1521, Loss  0.842333, Average Loss  0.831994, Time  0.237324
2021-09-17 00:25:49.192091 : Epoch 10, Batch   1522, Loss  0.819993, Average Loss  0.831935, Time  0.237715
2021-09-17 00:25:51.761948 : Epoch 10, Batch   1523, Loss  0.820250, Average Loss  0.831755, Time  0.237369
2021-09-17 00:25:54.347088 : Epoch 10, Batch   1524, Loss  0.807150, Average Loss  0.831637, Time  0.237545
2021-09-17 00:25:56.926726 : Epoch 10, Batch   1525, Loss  0.841273, Average Loss  0.831671, Time  0.237358
2021-09-17 00:25:59.504543 : Epoch 10, Batch   1526, Loss  0.837542, Average Loss  0.831741, Time  0.237453
2021-09-17 00:26:02.084759 : Epoch 10, Batch   1527, Loss  0.834983, Average Loss  0.831711, Time  0.237401
2021-09-17 00:26:04.663776 : Epoch 10, Batch   1528, Loss  0.839962, Average Loss  0.831752, Time  0.237455
2021-09-17 00:26:07.253700 : Epoch 10, Batch   1529, Loss  0.834994, Average Loss  0.831817, Time  0.237153
2021-09-17 00:26:09.835685 : Epoch 10, Batch   1530, Loss  0.824724, Average Loss  0.831825, Time  0.237565
2021-09-17 00:26:12.411759 : Epoch 10, Batch   1531, Loss  0.844501, Average Loss  0.831863, Time  0.237672
2021-09-17 00:26:14.989891 : Epoch 10, Batch   1532, Loss  0.827712, Average Loss  0.831965, Time  0.237298
2021-09-17 00:26:17.579790 : Epoch 10, Batch   1533, Loss  0.820816, Average Loss  0.831896, Time  0.237447
2021-09-17 00:26:20.158894 : Epoch 10, Batch   1534, Loss  0.835258, Average Loss  0.831857, Time  0.237571
2021-09-17 00:26:22.731216 : Epoch 10, Batch   1535, Loss  0.851752, Average Loss  0.831995, Time  0.237593
2021-09-17 00:26:25.304870 : Epoch 10, Batch   1536, Loss  0.829511, Average Loss  0.831921, Time  0.237418
2021-09-17 00:26:27.891852 : Epoch 10, Batch   1537, Loss  0.816399, Average Loss  0.831821, Time  0.237199
2021-09-17 00:26:30.480749 : Epoch 10, Batch   1538, Loss  0.839044, Average Loss  0.831829, Time  0.237311
2021-09-17 00:26:33.053073 : Epoch 10, Batch   1539, Loss  0.834246, Average Loss  0.831804, Time  0.237175
2021-09-17 00:26:35.623878 : Epoch 10, Batch   1540, Loss  0.852630, Average Loss  0.831963, Time  0.237303
2021-09-17 00:26:38.199707 : Epoch 10, Batch   1541, Loss  0.816555, Average Loss  0.831758, Time  0.237376
2021-09-17 00:26:40.772067 : Epoch 10, Batch   1542, Loss  0.850070, Average Loss  0.831812, Time  0.237182
2021-09-17 00:26:43.341676 : Epoch 10, Batch   1543, Loss  0.847152, Average Loss  0.831848, Time  0.237370
2021-09-17 00:26:45.918685 : Epoch 10, Batch   1544, Loss  0.815624, Average Loss  0.831711, Time  0.237207
2021-09-17 00:26:48.488897 : Epoch 10, Batch   1545, Loss  0.853465, Average Loss  0.831800, Time  0.237303
2021-09-17 00:26:51.066981 : Epoch 10, Batch   1546, Loss  0.841568, Average Loss  0.831786, Time  0.237933
2021-09-17 00:26:53.650715 : Epoch 10, Batch   1547, Loss  0.827536, Average Loss  0.831669, Time  0.237571
2021-09-17 00:26:56.257701 : Epoch 10, Batch   1548, Loss  0.813005, Average Loss  0.831559, Time  0.237813
2021-09-17 00:26:58.832118 : Epoch 10, Batch   1549, Loss  0.820300, Average Loss  0.831590, Time  0.237630
2021-09-17 00:27:01.402845 : Epoch 10, Batch   1550, Loss  0.845623, Average Loss  0.831681, Time  0.237374
2021-09-17 00:27:03.986410 : Epoch 10, Batch   1551, Loss  0.805747, Average Loss  0.831480, Time  0.237538
2021-09-17 00:27:06.566723 : Epoch 10, Batch   1552, Loss  0.839912, Average Loss  0.831413, Time  0.237412
2021-09-17 00:27:09.134091 : Epoch 10, Batch   1553, Loss  0.823252, Average Loss  0.831318, Time  0.237256
2021-09-17 00:27:11.710846 : Epoch 10, Batch   1554, Loss  0.840345, Average Loss  0.831301, Time  0.237236
2021-09-17 00:27:14.289667 : Epoch 10, Batch   1555, Loss  0.831835, Average Loss  0.831265, Time  0.237518
2021-09-17 00:27:16.868840 : Epoch 10, Batch   1556, Loss  0.837995, Average Loss  0.831388, Time  0.237361
2021-09-17 00:27:19.443939 : Epoch 10, Batch   1557, Loss  0.831442, Average Loss  0.831459, Time  0.238134
2021-09-17 00:27:22.023884 : Epoch 10, Batch   1558, Loss  0.823191, Average Loss  0.831458, Time  0.237347
2021-09-17 00:27:24.603052 : Epoch 10, Batch   1559, Loss  0.827181, Average Loss  0.831393, Time  0.237316
2021-09-17 00:27:27.176152 : Epoch 10, Batch   1560, Loss  0.832220, Average Loss  0.831465, Time  0.237365
2021-09-17 00:27:29.757850 : Epoch 10, Batch   1561, Loss  0.855794, Average Loss  0.831545, Time  0.237235
2021-09-17 00:27:32.331864 : Epoch 10, Batch   1562, Loss  0.827493, Average Loss  0.831534, Time  0.237802
2021-09-17 00:27:34.926039 : Epoch 10, Batch   1563, Loss  0.814382, Average Loss  0.831436, Time  0.237070
2021-09-17 00:27:37.510050 : Epoch 10, Batch   1564, Loss  0.821811, Average Loss  0.831429, Time  0.237250
2021-09-17 00:27:40.089066 : Epoch 10, Batch   1565, Loss  0.840129, Average Loss  0.831580, Time  0.237521
2021-09-17 00:27:42.671650 : Epoch 10, Batch   1566, Loss  0.842216, Average Loss  0.831659, Time  0.237535
2021-09-17 00:27:45.254904 : Epoch 10, Batch   1567, Loss  0.804779, Average Loss  0.831493, Time  0.237580
2021-09-17 00:27:47.836654 : Epoch 10, Batch   1568, Loss  0.811674, Average Loss  0.831454, Time  0.237536
2021-09-17 00:27:50.414120 : Epoch 10, Batch   1569, Loss  0.844752, Average Loss  0.831480, Time  0.237659
2021-09-17 00:27:52.995714 : Epoch 10, Batch   1570, Loss  0.816809, Average Loss  0.831444, Time  0.237477
2021-09-17 00:27:55.572052 : Epoch 10, Batch   1571, Loss  0.846485, Average Loss  0.831477, Time  0.237218
2021-09-17 00:27:58.140840 : Epoch 10, Batch   1572, Loss  0.834085, Average Loss  0.831437, Time  0.237413
2021-09-17 00:28:00.720716 : Epoch 10, Batch   1573, Loss  0.813656, Average Loss  0.831362, Time  0.237321
2021-09-17 00:28:03.296048 : Epoch 10, Batch   1574, Loss  0.839841, Average Loss  0.831398, Time  0.237350
2021-09-17 00:28:05.884869 : Epoch 10, Batch   1575, Loss  0.810512, Average Loss  0.831231, Time  0.237409
2021-09-17 00:28:08.469832 : Epoch 10, Batch   1576, Loss  0.844774, Average Loss  0.831356, Time  0.237374
2021-09-17 00:28:11.043968 : Epoch 10, Batch   1577, Loss  0.817134, Average Loss  0.831295, Time  0.237332
2021-09-17 00:28:13.620037 : Epoch 10, Batch   1578, Loss  0.821716, Average Loss  0.831279, Time  0.237263
2021-09-17 00:28:16.195651 : Epoch 10, Batch   1579, Loss  0.819394, Average Loss  0.831240, Time  0.236877
2021-09-17 00:28:18.774270 : Epoch 10, Batch   1580, Loss  0.836511, Average Loss  0.831350, Time  0.237197
2021-09-17 00:28:21.356681 : Epoch 10, Batch   1581, Loss  0.823526, Average Loss  0.831220, Time  0.237358
2021-09-17 00:28:23.930906 : Epoch 10, Batch   1582, Loss  0.838487, Average Loss  0.831237, Time  0.238215
2021-09-17 00:28:26.510830 : Epoch 10, Batch   1583, Loss  0.813635, Average Loss  0.831114, Time  0.237600
2021-09-17 00:28:29.093004 : Epoch 10, Batch   1584, Loss  0.847231, Average Loss  0.831226, Time  0.237290
2021-09-17 00:28:31.668847 : Epoch 10, Batch   1585, Loss  0.837274, Average Loss  0.831374, Time  0.237052
2021-09-17 00:28:34.260661 : Epoch 10, Batch   1586, Loss  0.848419, Average Loss  0.831437, Time  0.237241
2021-09-17 00:28:36.846059 : Epoch 10, Batch   1587, Loss  0.830399, Average Loss  0.831425, Time  0.237490
2021-09-17 00:28:39.429056 : Epoch 10, Batch   1588, Loss  0.825678, Average Loss  0.831336, Time  0.237357
2021-09-17 00:28:42.014702 : Epoch 10, Batch   1589, Loss  0.846524, Average Loss  0.831488, Time  0.237422
2021-09-17 00:28:44.595859 : Epoch 10, Batch   1590, Loss  0.836317, Average Loss  0.831506, Time  0.237286
2021-09-17 00:28:47.235971 : Epoch 10, Batch   1591, Loss  0.845017, Average Loss  0.831551, Time  0.260634
2021-09-17 00:28:49.818882 : Epoch 10, Batch   1592, Loss  0.838610, Average Loss  0.831545, Time  0.237150
2021-09-17 00:28:52.404124 : Epoch 10, Batch   1593, Loss  0.848537, Average Loss  0.831553, Time  0.237726
2021-09-17 00:28:54.981677 : Epoch 10, Batch   1594, Loss  0.809833, Average Loss  0.831418, Time  0.237397
2021-09-17 00:28:57.554162 : Epoch 10, Batch   1595, Loss  0.839653, Average Loss  0.831480, Time  0.237462
2021-09-17 00:29:00.138212 : Epoch 10, Batch   1596, Loss  0.828526, Average Loss  0.831461, Time  0.238387
2021-09-17 00:32:54.355678 : CheckPoint: Validation Loss  0.00028975, Best Loss  0.00027885
2021-09-17 00:32:56.922745 : Epoch 10, Batch   1597, Loss  0.833926, Average Loss  0.831541, Time  0.261791
2021-09-17 00:32:59.481972 : Epoch 10, Batch   1598, Loss  0.836453, Average Loss  0.831587, Time  0.239643
2021-09-17 00:33:02.030989 : Epoch 10, Batch   1599, Loss  0.813447, Average Loss  0.831369, Time  0.237375
2021-09-17 00:33:04.590067 : Epoch 10, Batch   1600, Loss  0.837995, Average Loss  0.831450, Time  0.237339
2021-09-17 00:33:07.145141 : Epoch 10, Batch   1601, Loss  0.842191, Average Loss  0.831461, Time  0.237047
2021-09-17 00:33:09.696874 : Epoch 10, Batch   1602, Loss  0.802497, Average Loss  0.831455, Time  0.237333
2021-09-17 00:33:12.250899 : Epoch 10, Batch   1603, Loss  0.840931, Average Loss  0.831509, Time  0.237337
2021-09-17 00:33:14.807921 : Epoch 10, Batch   1604, Loss  0.841163, Average Loss  0.831551, Time  0.237306
2021-09-17 00:33:17.360136 : Epoch 10, Batch   1605, Loss  0.839277, Average Loss  0.831541, Time  0.237112
2021-09-17 00:33:19.915933 : Epoch 10, Batch   1606, Loss  0.818549, Average Loss  0.831439, Time  0.237396
2021-09-17 00:33:22.468011 : Epoch 10, Batch   1607, Loss  0.822734, Average Loss  0.831451, Time  0.237341
2021-09-17 00:33:25.016031 : Epoch 10, Batch   1608, Loss  0.803743, Average Loss  0.831401, Time  0.237407
2021-09-17 00:33:27.567217 : Epoch 10, Batch   1609, Loss  0.839405, Average Loss  0.831515, Time  0.237711
2021-09-17 00:33:30.121193 : Epoch 10, Batch   1610, Loss  0.843766, Average Loss  0.831675, Time  0.237499
2021-09-17 00:33:32.681965 : Epoch 10, Batch   1611, Loss  0.827804, Average Loss  0.831695, Time  0.237562
2021-09-17 00:33:35.249901 : Epoch 10, Batch   1612, Loss  0.811375, Average Loss  0.831562, Time  0.237209
2021-09-17 00:33:37.802981 : Epoch 10, Batch   1613, Loss  0.828078, Average Loss  0.831563, Time  0.237556
2021-09-17 00:33:40.353473 : Epoch 10, Batch   1614, Loss  0.812536, Average Loss  0.831416, Time  0.237981
2021-09-17 00:33:42.903146 : Epoch 10, Batch   1615, Loss  0.831921, Average Loss  0.831387, Time  0.237403
2021-09-17 00:33:45.459989 : Epoch 10, Batch   1616, Loss  0.820851, Average Loss  0.831356, Time  0.237273
2021-09-17 00:33:48.015711 : Epoch 10, Batch   1617, Loss  0.841298, Average Loss  0.831342, Time  0.237359
2021-09-17 00:33:50.577685 : Epoch 10, Batch   1618, Loss  0.840025, Average Loss  0.831475, Time  0.237613
2021-09-17 00:33:53.132886 : Epoch 10, Batch   1619, Loss  0.815011, Average Loss  0.831334, Time  0.237242
2021-09-17 00:33:55.690716 : Epoch 10, Batch   1620, Loss  0.810342, Average Loss  0.831252, Time  0.237451
2021-09-17 00:33:58.243946 : Epoch 10, Batch   1621, Loss  0.840669, Average Loss  0.831236, Time  0.237523
2021-09-17 00:34:00.801878 : Epoch 10, Batch   1622, Loss  0.846581, Average Loss  0.831390, Time  0.237151
2021-09-17 00:34:03.353699 : Epoch 10, Batch   1623, Loss  0.812948, Average Loss  0.831276, Time  0.237211
2021-09-17 00:34:05.902951 : Epoch 10, Batch   1624, Loss  0.814035, Average Loss  0.831225, Time  0.237266
2021-09-17 00:34:08.453706 : Epoch 10, Batch   1625, Loss  0.834678, Average Loss  0.831261, Time  0.237263
2021-09-17 00:34:11.004917 : Epoch 10, Batch   1626, Loss  0.848656, Average Loss  0.831398, Time  0.237507
2021-09-17 00:34:13.550173 : Epoch 10, Batch   1627, Loss  0.836706, Average Loss  0.831323, Time  0.237406
2021-09-17 00:34:16.099721 : Epoch 10, Batch   1628, Loss  0.852196, Average Loss  0.831331, Time  0.237114
2021-09-17 00:34:18.643166 : Epoch 10, Batch   1629, Loss  0.838260, Average Loss  0.831405, Time  0.237149
2021-09-17 00:34:21.189952 : Epoch 10, Batch   1630, Loss  0.824397, Average Loss  0.831360, Time  0.237924
2021-09-17 00:34:23.734005 : Epoch 10, Batch   1631, Loss  0.805969, Average Loss  0.831093, Time  0.237537
2021-09-17 00:34:26.282960 : Epoch 10, Batch   1632, Loss  0.838697, Average Loss  0.831095, Time  0.237280
2021-09-17 00:34:28.833095 : Epoch 10, Batch   1633, Loss  0.822995, Average Loss  0.831013, Time  0.237786
2021-09-17 00:34:31.383190 : Epoch 10, Batch   1634, Loss  0.842727, Average Loss  0.831129, Time  0.237221
2021-09-17 00:34:33.936900 : Epoch 10, Batch   1635, Loss  0.822412, Average Loss  0.831143, Time  0.237213
2021-09-17 00:34:36.493948 : Epoch 10, Batch   1636, Loss  0.828508, Average Loss  0.831109, Time  0.237894
2021-09-17 00:34:39.042874 : Epoch 10, Batch   1637, Loss  0.860754, Average Loss  0.831352, Time  0.237351
2021-09-17 00:34:41.595944 : Epoch 10, Batch   1638, Loss  0.841892, Average Loss  0.831487, Time  0.237213
2021-09-17 00:34:44.152177 : Epoch 10, Batch   1639, Loss  0.836468, Average Loss  0.831482, Time  0.237190
2021-09-17 00:34:46.699887 : Epoch 10, Batch   1640, Loss  0.845075, Average Loss  0.831624, Time  0.237244
2021-09-17 00:34:49.248164 : Epoch 10, Batch   1641, Loss  0.822621, Average Loss  0.831629, Time  0.237290
2021-09-17 00:34:51.790730 : Epoch 10, Batch   1642, Loss  0.832608, Average Loss  0.831615, Time  0.237314
2021-09-17 00:34:54.333947 : Epoch 10, Batch   1643, Loss  0.851623, Average Loss  0.831690, Time  0.237221
2021-09-17 00:34:56.880703 : Epoch 10, Batch   1644, Loss  0.821672, Average Loss  0.831782, Time  0.236893
2021-09-17 00:34:59.429984 : Epoch 10, Batch   1645, Loss  0.850317, Average Loss  0.832024, Time  0.237250
2021-09-17 00:35:02.025075 : Epoch 10, Batch   1646, Loss  0.832699, Average Loss  0.831953, Time  0.260363
2021-09-17 00:35:04.602409 : Epoch 10, Batch   1647, Loss  0.815055, Average Loss  0.831922, Time  0.238456
2021-09-17 00:35:07.237944 : Epoch 10, Batch   1648, Loss  0.820539, Average Loss  0.831820, Time  0.237343
2021-09-17 00:35:09.794158 : Epoch 10, Batch   1649, Loss  0.857823, Average Loss  0.831934, Time  0.236987
2021-09-17 00:35:12.342086 : Epoch 10, Batch   1650, Loss  0.853229, Average Loss  0.832039, Time  0.237407
2021-09-17 00:35:14.890908 : Epoch 10, Batch   1651, Loss  0.832414, Average Loss  0.832041, Time  0.237390
2021-09-17 00:35:17.448897 : Epoch 10, Batch   1652, Loss  0.851600, Average Loss  0.832138, Time  0.237210
2021-09-17 00:35:19.996178 : Epoch 10, Batch   1653, Loss  0.830157, Average Loss  0.832097, Time  0.237248
2021-09-17 00:35:22.552877 : Epoch 10, Batch   1654, Loss  0.828163, Average Loss  0.832035, Time  0.237603
2021-09-17 00:35:25.099101 : Epoch 10, Batch   1655, Loss  0.844219, Average Loss  0.832078, Time  0.237646
2021-09-17 00:35:27.652818 : Epoch 10, Batch   1656, Loss  0.851746, Average Loss  0.832164, Time  0.237955
2021-09-17 00:35:30.202793 : Epoch 10, Batch   1657, Loss  0.823877, Average Loss  0.832038, Time  0.237435
2021-09-17 00:35:32.755094 : Epoch 10, Batch   1658, Loss  0.800673, Average Loss  0.831810, Time  0.237464
2021-09-17 00:35:35.321900 : Epoch 10, Batch   1659, Loss  0.849922, Average Loss  0.831889, Time  0.238492
2021-09-17 00:35:37.874794 : Epoch 10, Batch   1660, Loss  0.841895, Average Loss  0.831885, Time  0.237371
2021-09-17 00:35:40.426687 : Epoch 10, Batch   1661, Loss  0.819104, Average Loss  0.831801, Time  0.237324
2021-09-17 00:35:42.977688 : Epoch 10, Batch   1662, Loss  0.832280, Average Loss  0.831853, Time  0.237657
2021-09-17 00:35:45.526106 : Epoch 10, Batch   1663, Loss  0.822335, Average Loss  0.831803, Time  0.237084
2021-09-17 00:35:48.068111 : Epoch 10, Batch   1664, Loss  0.834381, Average Loss  0.831825, Time  0.237082
2021-09-17 00:35:50.612087 : Epoch 10, Batch   1665, Loss  0.826708, Average Loss  0.831873, Time  0.237415
2021-09-17 00:35:53.149673 : Epoch 10, Batch   1666, Loss  0.834780, Average Loss  0.831856, Time  0.237675
2021-09-17 00:35:55.706894 : Epoch 10, Batch   1667, Loss  0.820244, Average Loss  0.831856, Time  0.238006
2021-09-17 00:35:58.257872 : Epoch 10, Batch   1668, Loss  0.815673, Average Loss  0.831792, Time  0.237334
2021-09-17 00:36:00.799737 : Epoch 10, Batch   1669, Loss  0.824487, Average Loss  0.831751, Time  0.237285
2021-09-17 00:36:03.350897 : Epoch 10, Batch   1670, Loss  0.840538, Average Loss  0.831805, Time  0.237122
2021-09-17 00:36:05.897670 : Epoch 10, Batch   1671, Loss  0.823758, Average Loss  0.831774, Time  0.237281
2021-09-17 00:36:08.451885 : Epoch 10, Batch   1672, Loss  0.841341, Average Loss  0.831852, Time  0.237074
2021-09-17 00:36:10.999890 : Epoch 10, Batch   1673, Loss  0.819362, Average Loss  0.831787, Time  0.237155
2021-09-17 00:36:13.552752 : Epoch 10, Batch   1674, Loss  0.828724, Average Loss  0.831767, Time  0.237377
2021-09-17 00:36:16.109690 : Epoch 10, Batch   1675, Loss  0.826312, Average Loss  0.831749, Time  0.237603
2021-09-17 00:36:18.667629 : Epoch 10, Batch   1676, Loss  0.820150, Average Loss  0.831617, Time  0.237271
2021-09-17 00:36:21.218965 : Epoch 10, Batch   1677, Loss  0.838205, Average Loss  0.831660, Time  0.237345
2021-09-17 00:36:23.773888 : Epoch 10, Batch   1678, Loss  0.819256, Average Loss  0.831592, Time  0.237332
2021-09-17 00:36:26.331680 : Epoch 10, Batch   1679, Loss  0.816303, Average Loss  0.831513, Time  0.237866
2021-09-17 00:36:28.879804 : Epoch 10, Batch   1680, Loss  0.809263, Average Loss  0.831280, Time  0.237567
2021-09-17 00:36:32.212053 : Epoch 10, Batch   1681, Loss  0.801900, Average Loss  0.831200, Time  0.264494
2021-09-17 00:36:35.285718 : Epoch 10, Batch   1682, Loss  0.820316, Average Loss  0.831120, Time  0.245727
2021-09-17 00:36:39.115116 : Epoch 10, Batch   1683, Loss  0.823794, Average Loss  0.831116, Time  0.237675
2021-09-17 00:36:42.950665 : Epoch 10, Batch   1684, Loss  0.863520, Average Loss  0.831253, Time  0.237525
2021-09-17 00:36:45.882924 : Epoch 10, Batch   1685, Loss  0.835925, Average Loss  0.831274, Time  0.237172
2021-09-17 00:36:48.666001 : Epoch 10, Batch   1686, Loss  0.829702, Average Loss  0.831225, Time  0.237263
2021-09-17 00:36:51.500706 : Epoch 10, Batch   1687, Loss  0.850905, Average Loss  0.831374, Time  0.237212
2021-09-17 00:36:54.051982 : Epoch 10, Batch   1688, Loss  0.848567, Average Loss  0.831395, Time  0.237232
2021-09-17 00:36:56.594873 : Epoch 10, Batch   1689, Loss  0.819744, Average Loss  0.831361, Time  0.237302
2021-09-17 00:36:59.146776 : Epoch 10, Batch   1690, Loss  0.841758, Average Loss  0.831447, Time  0.237374
2021-09-17 00:37:01.699066 : Epoch 10, Batch   1691, Loss  0.857373, Average Loss  0.831595, Time  0.237090
2021-09-17 00:37:04.246054 : Epoch 10, Batch   1692, Loss  0.824537, Average Loss  0.831551, Time  0.237213
2021-09-17 00:37:06.797963 : Epoch 10, Batch   1693, Loss  0.815580, Average Loss  0.831515, Time  0.237429
2021-09-17 00:37:09.343622 : Epoch 10, Batch   1694, Loss  0.832760, Average Loss  0.831456, Time  0.237285
2021-09-17 00:37:11.890057 : Epoch 10, Batch   1695, Loss  0.811294, Average Loss  0.831439, Time  0.237211
2021-09-17 00:37:14.435898 : Epoch 10, Batch   1696, Loss  0.812252, Average Loss  0.831273, Time  0.237422
2021-09-17 00:41:09.674674 : CheckPoint: Validation Loss  0.00028733, Best Loss  0.00027885
2021-09-17 00:41:12.229127 : Epoch 10, Batch   1697, Loss  0.841158, Average Loss  0.831389, Time  0.237800
2021-09-17 00:41:14.810012 : Epoch 10, Batch   1698, Loss  0.851421, Average Loss  0.831541, Time  0.237617
2021-09-17 00:41:17.385130 : Epoch 10, Batch   1699, Loss  0.827501, Average Loss  0.831492, Time  0.236857
2021-09-17 00:41:19.968694 : Epoch 10, Batch   1700, Loss  0.857168, Average Loss  0.831529, Time  0.237435
2021-09-17 00:41:22.550676 : Epoch 10, Batch   1701, Loss  0.833952, Average Loss  0.831512, Time  0.237186
2021-09-17 00:41:25.126688 : Epoch 10, Batch   1702, Loss  0.824268, Average Loss  0.831582, Time  0.238073
2021-09-17 00:41:27.701727 : Epoch 10, Batch   1703, Loss  0.818371, Average Loss  0.831397, Time  0.237188
2021-09-17 00:41:30.287946 : Epoch 10, Batch   1704, Loss  0.810490, Average Loss  0.831309, Time  0.237419
2021-09-17 00:41:32.867692 : Epoch 10, Batch   1705, Loss  0.845824, Average Loss  0.831349, Time  0.237582
2021-09-17 00:41:35.455717 : Epoch 10, Batch   1706, Loss  0.823918, Average Loss  0.831238, Time  0.240737
2021-09-17 00:41:38.031676 : Epoch 10, Batch   1707, Loss  0.838749, Average Loss  0.831251, Time  0.237441
2021-09-17 00:41:40.611758 : Epoch 10, Batch   1708, Loss  0.854769, Average Loss  0.831404, Time  0.237439
2021-09-17 00:41:43.193228 : Epoch 10, Batch   1709, Loss  0.838043, Average Loss  0.831474, Time  0.237481
2021-09-17 00:41:45.775940 : Epoch 10, Batch   1710, Loss  0.842101, Average Loss  0.831423, Time  0.237266
2021-09-17 00:41:48.360688 : Epoch 10, Batch   1711, Loss  0.835459, Average Loss  0.831487, Time  0.237371
2021-09-17 00:41:50.930900 : Epoch 10, Batch   1712, Loss  0.829442, Average Loss  0.831486, Time  0.237573
2021-09-17 00:41:53.503863 : Epoch 10, Batch   1713, Loss  0.812773, Average Loss  0.831332, Time  0.237111
2021-09-17 00:41:56.083694 : Epoch 10, Batch   1714, Loss  0.799273, Average Loss  0.831103, Time  0.237453
2021-09-17 00:41:58.663888 : Epoch 10, Batch   1715, Loss  0.848913, Average Loss  0.831297, Time  0.237001
2021-09-17 00:42:01.246922 : Epoch 10, Batch   1716, Loss  0.831070, Average Loss  0.831275, Time  0.238203
2021-09-17 00:42:03.821683 : Epoch 10, Batch   1717, Loss  0.825339, Average Loss  0.831270, Time  0.237548
2021-09-17 00:42:06.403965 : Epoch 10, Batch   1718, Loss  0.831001, Average Loss  0.831330, Time  0.237900
2021-09-17 00:42:08.986009 : Epoch 10, Batch   1719, Loss  0.827300, Average Loss  0.831272, Time  0.237929
2021-09-17 00:42:11.571681 : Epoch 10, Batch   1720, Loss  0.838192, Average Loss  0.831266, Time  0.237461
2021-09-17 00:42:14.147272 : Epoch 10, Batch   1721, Loss  0.832352, Average Loss  0.831216, Time  0.238182
2021-09-17 00:42:16.722020 : Epoch 10, Batch   1722, Loss  0.828952, Average Loss  0.831261, Time  0.237949
2021-09-17 00:42:19.306007 : Epoch 10, Batch   1723, Loss  0.833424, Average Loss  0.831326, Time  0.237809
2021-09-17 00:42:21.890743 : Epoch 10, Batch   1724, Loss  0.832746, Average Loss  0.831454, Time  0.237281
2021-09-17 00:42:24.463210 : Epoch 10, Batch   1725, Loss  0.845140, Average Loss  0.831474, Time  0.237663
2021-09-17 00:42:27.035927 : Epoch 10, Batch   1726, Loss  0.826635, Average Loss  0.831419, Time  0.237716
2021-09-17 00:42:29.614097 : Epoch 10, Batch   1727, Loss  0.815402, Average Loss  0.831321, Time  0.237126
2021-09-17 00:42:32.187926 : Epoch 10, Batch   1728, Loss  0.832059, Average Loss  0.831282, Time  0.237491
2021-09-17 00:42:34.774783 : Epoch 10, Batch   1729, Loss  0.826186, Average Loss  0.831238, Time  0.237432
2021-09-17 00:42:37.356890 : Epoch 10, Batch   1730, Loss  0.803712, Average Loss  0.831133, Time  0.237366
2021-09-17 00:42:39.948827 : Epoch 10, Batch   1731, Loss  0.830189, Average Loss  0.831061, Time  0.237602
2021-09-17 00:42:42.526003 : Epoch 10, Batch   1732, Loss  0.815511, Average Loss  0.831000, Time  0.237337
2021-09-17 00:42:45.102692 : Epoch 10, Batch   1733, Loss  0.820624, Average Loss  0.830999, Time  0.237392
2021-09-17 00:42:47.682744 : Epoch 10, Batch   1734, Loss  0.833579, Average Loss  0.830991, Time  0.237651
2021-09-17 00:42:50.256047 : Epoch 10, Batch   1735, Loss  0.846413, Average Loss  0.830964, Time  0.237384
2021-09-17 00:42:52.825918 : Epoch 10, Batch   1736, Loss  0.827918, Average Loss  0.830956, Time  0.237213
2021-09-17 00:42:55.404108 : Epoch 10, Batch   1737, Loss  0.834269, Average Loss  0.831045, Time  0.237701
2021-09-17 00:42:57.975689 : Epoch 10, Batch   1738, Loss  0.830630, Average Loss  0.831003, Time  0.238084
2021-09-17 00:43:00.565736 : Epoch 10, Batch   1739, Loss  0.819787, Average Loss  0.830931, Time  0.237551
2021-09-17 00:43:03.133092 : Epoch 10, Batch   1740, Loss  0.826548, Average Loss  0.830801, Time  0.237194
2021-09-17 00:43:05.719764 : Epoch 10, Batch   1741, Loss  0.828319, Average Loss  0.830859, Time  0.237681
2021-09-17 00:43:08.297543 : Epoch 10, Batch   1742, Loss  0.821973, Average Loss  0.830719, Time  0.237387
2021-09-17 00:43:10.883879 : Epoch 10, Batch   1743, Loss  0.843950, Average Loss  0.830703, Time  0.237583
2021-09-17 00:43:13.475874 : Epoch 10, Batch   1744, Loss  0.829544, Average Loss  0.830773, Time  0.237436
2021-09-17 00:43:16.056671 : Epoch 10, Batch   1745, Loss  0.824926, Average Loss  0.830630, Time  0.237192
2021-09-17 00:43:18.632072 : Epoch 10, Batch   1746, Loss  0.802042, Average Loss  0.830432, Time  0.237320
2021-09-17 00:43:21.206871 : Epoch 10, Batch   1747, Loss  0.862565, Average Loss  0.830607, Time  0.237234
2021-09-17 00:43:23.784205 : Epoch 10, Batch   1748, Loss  0.832356, Average Loss  0.830704, Time  0.237469
2021-09-17 00:43:26.365888 : Epoch 10, Batch   1749, Loss  0.814763, Average Loss  0.830676, Time  0.237329
2021-09-17 00:43:28.945058 : Epoch 10, Batch   1750, Loss  0.851014, Average Loss  0.830703, Time  0.237082
2021-09-17 00:43:31.521840 : Epoch 10, Batch   1751, Loss  0.815632, Average Loss  0.830753, Time  0.237472
2021-09-17 00:43:34.101889 : Epoch 10, Batch   1752, Loss  0.853276, Average Loss  0.830820, Time  0.237415
2021-09-17 00:43:36.673961 : Epoch 10, Batch   1753, Loss  0.802706, Average Loss  0.830717, Time  0.237394
2021-09-17 00:43:39.251707 : Epoch 10, Batch   1754, Loss  0.828311, Average Loss  0.830657, Time  0.237372
2021-09-17 00:43:41.823663 : Epoch 10, Batch   1755, Loss  0.835211, Average Loss  0.830674, Time  0.237235
2021-09-17 00:43:44.407806 : Epoch 10, Batch   1756, Loss  0.833771, Average Loss  0.830652, Time  0.237627
2021-09-17 00:43:46.992688 : Epoch 10, Batch   1757, Loss  0.868708, Average Loss  0.830839, Time  0.237292
2021-09-17 00:43:49.570863 : Epoch 10, Batch   1758, Loss  0.845914, Average Loss  0.830952, Time  0.237536
2021-09-17 00:43:52.151959 : Epoch 10, Batch   1759, Loss  0.834696, Average Loss  0.830990, Time  0.237439
2021-09-17 00:43:54.725650 : Epoch 10, Batch   1760, Loss  0.825277, Average Loss  0.830955, Time  0.237336
2021-09-17 00:43:57.302846 : Epoch 10, Batch   1761, Loss  0.806887, Average Loss  0.830711, Time  0.237338
2021-09-17 00:43:59.882890 : Epoch 10, Batch   1762, Loss  0.823837, Average Loss  0.830692, Time  0.237621
2021-09-17 00:44:02.460857 : Epoch 10, Batch   1763, Loss  0.824466, Average Loss  0.830743, Time  0.237385
2021-09-17 00:44:05.035880 : Epoch 10, Batch   1764, Loss  0.837279, Average Loss  0.830820, Time  0.237377
2021-09-17 00:44:07.614003 : Epoch 10, Batch   1765, Loss  0.837807, Average Loss  0.830809, Time  0.237936
2021-09-17 00:44:10.183875 : Epoch 10, Batch   1766, Loss  0.808342, Average Loss  0.830639, Time  0.237255
2021-09-17 00:44:12.760678 : Epoch 10, Batch   1767, Loss  0.835833, Average Loss  0.830795, Time  0.237339
2021-09-17 00:44:15.340656 : Epoch 10, Batch   1768, Loss  0.827306, Average Loss  0.830873, Time  0.237409
2021-09-17 00:44:17.914051 : Epoch 10, Batch   1769, Loss  0.830059, Average Loss  0.830799, Time  0.237381
2021-09-17 00:44:20.486675 : Epoch 10, Batch   1770, Loss  0.833605, Average Loss  0.830883, Time  0.237273
2021-09-17 00:44:23.073863 : Epoch 10, Batch   1771, Loss  0.832749, Average Loss  0.830815, Time  0.237386
2021-09-17 00:44:25.658692 : Epoch 10, Batch   1772, Loss  0.857958, Average Loss  0.830934, Time  0.237256
2021-09-17 00:44:28.227691 : Epoch 10, Batch   1773, Loss  0.807904, Average Loss  0.830905, Time  0.237227
2021-09-17 00:44:30.804884 : Epoch 10, Batch   1774, Loss  0.812847, Average Loss  0.830770, Time  0.237430
2021-09-17 00:44:33.380924 : Epoch 10, Batch   1775, Loss  0.838455, Average Loss  0.830910, Time  0.237742
2021-09-17 00:44:35.985876 : Epoch 10, Batch   1776, Loss  0.853734, Average Loss  0.830955, Time  0.237800
2021-09-17 00:44:37.219019 : Epoch 10, Batch   1777, Loss  0.845047, Average Loss  0.831094, Time  0.139348
2021-09-17 00:44:39.796841 : Epoch 10, Batch   1778, Loss  0.814658, Average Loss  0.831059, Time  0.237582
2021-09-17 00:44:42.370874 : Epoch 10, Batch   1779, Loss  0.838114, Average Loss  0.831153, Time  0.237256
2021-09-17 00:44:44.939073 : Epoch 10, Batch   1780, Loss  0.829912, Average Loss  0.831120, Time  0.237123
2021-09-17 00:44:47.513611 : Epoch 10, Batch   1781, Loss  0.824865, Average Loss  0.831126, Time  0.237731
2021-09-17 00:44:50.090871 : Epoch 10, Batch   1782, Loss  0.826387, Average Loss  0.831066, Time  0.237470
2021-09-17 00:44:52.670971 : Epoch 10, Batch   1783, Loss  0.830644, Average Loss  0.831151, Time  0.237624
2021-09-17 00:44:55.260697 : Epoch 10, Batch   1784, Loss  0.836271, Average Loss  0.831096, Time  0.237172
2021-09-17 00:44:57.836837 : Epoch 10, Batch   1785, Loss  0.838639, Average Loss  0.831103, Time  0.237384
2021-09-17 00:45:00.410985 : Epoch 10, Batch   1786, Loss  0.837601, Average Loss  0.831049, Time  0.237736
2021-09-17 00:45:02.989693 : Epoch 10, Batch   1787, Loss  0.842458, Average Loss  0.831109, Time  0.237538
2021-09-17 00:45:05.575669 : Epoch 10, Batch   1788, Loss  0.834527, Average Loss  0.831153, Time  0.237370
2021-09-17 00:45:08.154141 : Epoch 10, Batch   1789, Loss  0.826064, Average Loss  0.831051, Time  0.237612
2021-09-17 00:45:10.727680 : Epoch 10, Batch   1790, Loss  0.853240, Average Loss  0.831136, Time  0.237982
2021-09-17 00:45:13.299871 : Epoch 10, Batch   1791, Loss  0.841689, Average Loss  0.831119, Time  0.237115
2021-09-17 00:45:15.868775 : Epoch 10, Batch   1792, Loss  0.842770, Average Loss  0.831140, Time  0.237222
2021-09-17 00:45:18.448682 : Epoch 10, Batch   1793, Loss  0.836599, Average Loss  0.831080, Time  0.237393
2021-09-17 00:45:21.025960 : Epoch 10, Batch   1794, Loss  0.804654, Average Loss  0.831054, Time  0.237547
2021-09-17 00:45:23.596737 : Epoch 10, Batch   1795, Loss  0.824602, Average Loss  0.830979, Time  0.237127
2021-09-17 00:45:26.172165 : Epoch 10, Batch   1796, Loss  0.825231, Average Loss  0.830962, Time  0.237288
2021-09-17 00:49:22.972107 : CheckPoint: Validation Loss  0.00028664, Best Loss  0.00027885
2021-09-17 00:49:25.535879 : Epoch 10, Batch   1797, Loss  0.824875, Average Loss  0.830917, Time  0.237495
2021-09-17 00:49:28.134817 : Epoch 10, Batch   1798, Loss  0.808304, Average Loss  0.830776, Time  0.237857
2021-09-17 00:49:30.732880 : Epoch 10, Batch   1799, Loss  0.818530, Average Loss  0.830802, Time  0.237109
2021-09-17 00:49:33.333904 : Epoch 10, Batch   1800, Loss  0.826579, Average Loss  0.830745, Time  0.238726
2021-09-17 00:49:35.926973 : Epoch 10, Batch   1801, Loss  0.847347, Average Loss  0.830771, Time  0.237120
2021-09-17 00:49:38.525886 : Epoch 10, Batch   1802, Loss  0.833226, Average Loss  0.830924, Time  0.237411
2021-09-17 00:49:41.126884 : Epoch 10, Batch   1803, Loss  0.825815, Average Loss  0.830849, Time  0.237095
2021-09-17 00:49:43.724988 : Epoch 10, Batch   1804, Loss  0.832614, Average Loss  0.830806, Time  0.237764
2021-09-17 00:49:46.328905 : Epoch 10, Batch   1805, Loss  0.837142, Average Loss  0.830795, Time  0.237536
2021-09-17 00:49:48.924911 : Epoch 10, Batch   1806, Loss  0.856267, Average Loss  0.830984, Time  0.237784
2021-09-17 00:49:51.532048 : Epoch 10, Batch   1807, Loss  0.820849, Average Loss  0.830974, Time  0.237438
2021-09-17 00:49:54.133885 : Epoch 10, Batch   1808, Loss  0.834763, Average Loss  0.831129, Time  0.237218
2021-09-17 00:49:56.743929 : Epoch 10, Batch   1809, Loss  0.830324, Average Loss  0.831084, Time  0.237258
2021-09-17 00:49:59.333889 : Epoch 10, Batch   1810, Loss  0.822656, Average Loss  0.830979, Time  0.237438
2021-09-17 00:50:01.947746 : Epoch 10, Batch   1811, Loss  0.833462, Average Loss  0.831007, Time  0.237180
2021-09-17 00:50:04.557757 : Epoch 10, Batch   1812, Loss  0.825300, Average Loss  0.831076, Time  0.237421
2021-09-17 00:50:07.153901 : Epoch 10, Batch   1813, Loss  0.821080, Average Loss  0.831041, Time  0.237302
2021-09-17 00:50:09.755758 : Epoch 10, Batch   1814, Loss  0.832162, Average Loss  0.831140, Time  0.237341
2021-09-17 00:50:12.356055 : Epoch 10, Batch   1815, Loss  0.850131, Average Loss  0.831231, Time  0.237252
2021-09-17 00:50:14.953071 : Epoch 10, Batch   1816, Loss  0.842442, Average Loss  0.831339, Time  0.237108
2021-09-17 00:50:17.553659 : Epoch 10, Batch   1817, Loss  0.823668, Average Loss  0.831250, Time  0.237662
2021-09-17 00:50:20.163882 : Epoch 10, Batch   1818, Loss  0.836776, Average Loss  0.831234, Time  0.237519
2021-09-17 00:50:22.771710 : Epoch 10, Batch   1819, Loss  0.843236, Average Loss  0.831375, Time  0.237438
2021-09-17 00:50:25.380946 : Epoch 10, Batch   1820, Loss  0.832552, Average Loss  0.831486, Time  0.237558
2021-09-17 00:50:27.975882 : Epoch 10, Batch   1821, Loss  0.799820, Average Loss  0.831282, Time  0.237447
2021-09-17 00:50:30.565839 : Epoch 10, Batch   1822, Loss  0.795631, Average Loss  0.831027, Time  0.237277
2021-09-17 00:50:33.162067 : Epoch 10, Batch   1823, Loss  0.828490, Average Loss  0.831105, Time  0.237401
2021-09-17 00:50:35.762679 : Epoch 10, Batch   1824, Loss  0.829008, Average Loss  0.831180, Time  0.237350
2021-09-17 00:50:38.360877 : Epoch 10, Batch   1825, Loss  0.828879, Average Loss  0.831151, Time  0.237449
2021-09-17 00:50:40.958056 : Epoch 10, Batch   1826, Loss  0.829062, Average Loss  0.831053, Time  0.237326
2021-09-17 00:50:43.553784 : Epoch 10, Batch   1827, Loss  0.819688, Average Loss  0.830968, Time  0.238573
2021-09-17 00:50:46.156863 : Epoch 10, Batch   1828, Loss  0.836362, Average Loss  0.830889, Time  0.237698
2021-09-17 00:50:48.752068 : Epoch 10, Batch   1829, Loss  0.829254, Average Loss  0.830844, Time  0.237315
2021-09-17 00:50:51.348829 : Epoch 10, Batch   1830, Loss  0.836549, Average Loss  0.830904, Time  0.237330
2021-09-17 00:50:53.953717 : Epoch 10, Batch   1831, Loss  0.820573, Average Loss  0.830977, Time  0.237197
2021-09-17 00:50:56.562912 : Epoch 10, Batch   1832, Loss  0.841452, Average Loss  0.830991, Time  0.237444
2021-09-17 00:50:59.156674 : Epoch 10, Batch   1833, Loss  0.841724, Average Loss  0.831085, Time  0.237709
2021-09-17 00:51:01.765696 : Epoch 10, Batch   1834, Loss  0.840813, Average Loss  0.831075, Time  0.237461
2021-09-17 00:51:04.372782 : Epoch 10, Batch   1835, Loss  0.834968, Average Loss  0.831138, Time  0.237467
2021-09-17 00:51:06.965978 : Epoch 10, Batch   1836, Loss  0.820273, Average Loss  0.831097, Time  0.237176
2021-09-17 00:51:09.566036 : Epoch 10, Batch   1837, Loss  0.824967, Average Loss  0.830918, Time  0.237196
2021-09-17 00:51:12.165013 : Epoch 10, Batch   1838, Loss  0.820198, Average Loss  0.830810, Time  0.237243
2021-09-17 00:51:14.755920 : Epoch 10, Batch   1839, Loss  0.842318, Average Loss  0.830839, Time  0.237286
2021-09-17 00:51:17.357758 : Epoch 10, Batch   1840, Loss  0.832575, Average Loss  0.830776, Time  0.237379
2021-09-17 00:51:19.957745 : Epoch 10, Batch   1841, Loss  0.825809, Average Loss  0.830792, Time  0.237213
2021-09-17 00:51:22.561148 : Epoch 10, Batch   1842, Loss  0.838244, Average Loss  0.830820, Time  0.237375
2021-09-17 00:51:25.169160 : Epoch 10, Batch   1843, Loss  0.815628, Average Loss  0.830640, Time  0.237113
2021-09-17 00:51:27.768748 : Epoch 10, Batch   1844, Loss  0.841843, Average Loss  0.830741, Time  0.237324
2021-09-17 00:51:30.362158 : Epoch 10, Batch   1845, Loss  0.845735, Average Loss  0.830718, Time  0.237384
2021-09-17 00:51:32.956028 : Epoch 10, Batch   1846, Loss  0.819140, Average Loss  0.830651, Time  0.238426
2021-09-17 00:51:35.551700 : Epoch 10, Batch   1847, Loss  0.816971, Average Loss  0.830660, Time  0.237430
2021-09-17 00:51:38.152877 : Epoch 10, Batch   1848, Loss  0.854674, Average Loss  0.830831, Time  0.237539
2021-09-17 00:51:40.753698 : Epoch 10, Batch   1849, Loss  0.801154, Average Loss  0.830547, Time  0.237226
2021-09-17 00:51:43.358089 : Epoch 10, Batch   1850, Loss  0.845746, Average Loss  0.830510, Time  0.237918
2021-09-17 00:51:45.982960 : Epoch 10, Batch   1851, Loss  0.825956, Average Loss  0.830478, Time  0.237383
2021-09-17 00:51:48.593881 : Epoch 10, Batch   1852, Loss  0.833426, Average Loss  0.830387, Time  0.237468
2021-09-17 00:51:51.195943 : Epoch 10, Batch   1853, Loss  0.833485, Average Loss  0.830404, Time  0.237393
2021-09-17 00:51:53.798883 : Epoch 10, Batch   1854, Loss  0.817221, Average Loss  0.830349, Time  0.237504
2021-09-17 00:51:56.402994 : Epoch 10, Batch   1855, Loss  0.825583, Average Loss  0.830256, Time  0.237779
2021-09-17 00:51:59.001926 : Epoch 10, Batch   1856, Loss  0.842739, Average Loss  0.830211, Time  0.237489
2021-09-17 00:51:59.040822 : Saving Model after 10-th Epoch.
2021-09-17 00:51:59.769855 : Epoch Finished.
2021-09-21 17:22:41.189712 : Building dataset train from orignial text documents
2021-09-21 17:23:05.936360 : Finish Loading dataset train
2021-09-21 17:23:05.970721 : Data Shuffle
2021-09-21 17:23:06.003750 : Start Shuffling
2021-09-21 17:23:06.920581 : Finish Shuffling
2021-09-21 17:23:06.992581 : Generate Batch
2021-09-21 17:23:07.295005 : Building dataset valid from orignial text documents
2021-09-21 17:23:08.369581 : Finish Loading dataset valid
2021-09-21 17:23:08.415559 : Data Shuffle
2021-09-21 17:23:08.460552 : Start Shuffling
2021-09-21 17:23:08.544566 : Finish Shuffling
2021-09-21 17:23:08.593562 : Generate Batch
2021-09-21 17:23:08.642824 : There are 787 batches per epoch
2021-09-21 17:23:08.677815 : Batch Shuffled
2021-09-21 17:23:10.383133 : Epoch  1, Batch      1, Loss  1.318970, Average Loss  1.318970, Time  0.450848
2021-09-21 17:23:11.857662 : Epoch  1, Batch      2, Loss  1.324265, Average Loss  1.321617, Time  0.240676
2021-09-21 17:23:13.326699 : Epoch  1, Batch      3, Loss  1.328538, Average Loss  1.323924, Time  0.227249
2021-09-21 17:23:14.792992 : Epoch  1, Batch      4, Loss  1.322258, Average Loss  1.323508, Time  0.220456
2021-09-21 17:23:16.318667 : Epoch  1, Batch      5, Loss  1.302849, Average Loss  1.319376, Time  0.220160
2021-09-21 17:23:17.786994 : Epoch  1, Batch      6, Loss  1.303715, Average Loss  1.316766, Time  0.220411
2021-09-21 17:23:19.248714 : Epoch  1, Batch      7, Loss  1.309491, Average Loss  1.315726, Time  0.219919
2021-09-21 17:23:20.702375 : Epoch  1, Batch      8, Loss  1.284678, Average Loss  1.311845, Time  0.220050
2021-09-21 17:23:22.182559 : Epoch  1, Batch      9, Loss  1.276081, Average Loss  1.307872, Time  0.219996
2021-09-21 17:23:23.640252 : Epoch  1, Batch     10, Loss  1.285016, Average Loss  1.305586, Time  0.220027
2021-09-21 17:23:25.094164 : Epoch  1, Batch     11, Loss  1.269665, Average Loss  1.302320, Time  0.219944
2021-09-21 17:23:26.556931 : Epoch  1, Batch     12, Loss  1.244149, Average Loss  1.297473, Time  0.220044
2021-09-21 17:23:28.016739 : Epoch  1, Batch     13, Loss  1.223309, Average Loss  1.291768, Time  0.219681
2021-09-21 17:23:29.469944 : Epoch  1, Batch     14, Loss  1.210318, Average Loss  1.285950, Time  0.220203
2021-09-21 17:23:30.923638 : Epoch  1, Batch     15, Loss  1.204143, Average Loss  1.280496, Time  0.219621
2021-09-21 17:23:32.376150 : Epoch  1, Batch     16, Loss  1.200850, Average Loss  1.275518, Time  0.219951
2021-09-21 17:23:33.852076 : Epoch  1, Batch     17, Loss  1.174474, Average Loss  1.269575, Time  0.220816
2021-09-21 17:23:35.315938 : Epoch  1, Batch     18, Loss  1.170580, Average Loss  1.264075, Time  0.220322
2021-09-21 17:23:36.774037 : Epoch  1, Batch     19, Loss  1.143733, Average Loss  1.257741, Time  0.221641
2021-09-21 17:23:38.271588 : Epoch  1, Batch     20, Loss  1.122772, Average Loss  1.250993, Time  0.221073
2021-09-21 17:23:39.726339 : Epoch  1, Batch     21, Loss  1.109382, Average Loss  1.244249, Time  0.220554
2021-09-21 17:23:41.192024 : Epoch  1, Batch     22, Loss  1.100857, Average Loss  1.237731, Time  0.220986
2021-09-21 17:23:42.663713 : Epoch  1, Batch     23, Loss  1.071788, Average Loss  1.230516, Time  0.220289
2021-09-21 17:23:44.125671 : Epoch  1, Batch     24, Loss  1.067561, Average Loss  1.223727, Time  0.220650
2021-09-21 17:23:45.581947 : Epoch  1, Batch     25, Loss  1.055404, Average Loss  1.216994, Time  0.220162
2021-09-21 17:23:47.052911 : Epoch  1, Batch     26, Loss  1.048856, Average Loss  1.210527, Time  0.220129
2021-09-21 17:23:48.509779 : Epoch  1, Batch     27, Loss  1.036709, Average Loss  1.204089, Time  0.219978
2021-09-21 17:23:49.968085 : Epoch  1, Batch     28, Loss  1.037245, Average Loss  1.198130, Time  0.220888
2021-09-21 17:23:51.422460 : Epoch  1, Batch     29, Loss  1.029127, Average Loss  1.192303, Time  0.220558
2021-09-21 17:23:52.877747 : Epoch  1, Batch     30, Loss  1.015704, Average Loss  1.186416, Time  0.220232
2021-09-21 17:23:54.335127 : Epoch  1, Batch     31, Loss  1.013849, Average Loss  1.180849, Time  0.220765
2021-09-21 17:23:55.793682 : Epoch  1, Batch     32, Loss  1.007260, Average Loss  1.175425, Time  0.220350
2021-09-21 17:23:57.255683 : Epoch  1, Batch     33, Loss  1.002669, Average Loss  1.170190, Time  0.220170
2021-09-21 17:23:58.739994 : Epoch  1, Batch     34, Loss  1.000394, Average Loss  1.165196, Time  0.221090
2021-09-21 17:24:00.206539 : Epoch  1, Batch     35, Loss  0.994895, Average Loss  1.160330, Time  0.220570
2021-09-21 17:24:01.665929 : Epoch  1, Batch     36, Loss  0.986650, Average Loss  1.155506, Time  0.220315
2021-09-21 17:24:03.148736 : Epoch  1, Batch     37, Loss  0.986287, Average Loss  1.150932, Time  0.220532
2021-09-21 17:24:04.678302 : Epoch  1, Batch     38, Loss  0.984522, Average Loss  1.146553, Time  0.220388
2021-09-21 17:24:06.132936 : Epoch  1, Batch     39, Loss  0.980641, Average Loss  1.142299, Time  0.220466
2021-09-21 17:24:07.599677 : Epoch  1, Batch     40, Loss  0.983468, Average Loss  1.138328, Time  0.220580
2021-09-21 17:24:09.067735 : Epoch  1, Batch     41, Loss  0.976989, Average Loss  1.134393, Time  0.220339
2021-09-21 17:24:10.522970 : Epoch  1, Batch     42, Loss  0.977786, Average Loss  1.130664, Time  0.222300
2021-09-21 17:24:11.990764 : Epoch  1, Batch     43, Loss  0.978951, Average Loss  1.127136, Time  0.220637
2021-09-21 17:24:13.464877 : Epoch  1, Batch     44, Loss  0.972295, Average Loss  1.123617, Time  0.221122
2021-09-21 17:24:14.948711 : Epoch  1, Batch     45, Loss  0.970826, Average Loss  1.120221, Time  0.220842
2021-09-21 17:24:16.420304 : Epoch  1, Batch     46, Loss  0.969132, Average Loss  1.116937, Time  0.221218
2021-09-21 17:24:17.874700 : Epoch  1, Batch     47, Loss  0.975798, Average Loss  1.113934, Time  0.221344
2021-09-21 17:24:19.344985 : Epoch  1, Batch     48, Loss  0.968754, Average Loss  1.110909, Time  0.222762
2021-09-21 17:24:20.804700 : Epoch  1, Batch     49, Loss  0.960918, Average Loss  1.107848, Time  0.220836
2021-09-21 17:24:22.266699 : Epoch  1, Batch     50, Loss  0.964735, Average Loss  1.104986, Time  0.221976
2021-09-21 17:24:23.732467 : Epoch  1, Batch     51, Loss  0.966847, Average Loss  1.102277, Time  0.220660
2021-09-21 17:24:25.182998 : Epoch  1, Batch     52, Loss  0.962298, Average Loss  1.099585, Time  0.220937
2021-09-21 17:24:26.648273 : Epoch  1, Batch     53, Loss  0.962155, Average Loss  1.096992, Time  0.220712
2021-09-21 17:24:28.108783 : Epoch  1, Batch     54, Loss  0.959873, Average Loss  1.094453, Time  0.221406
2021-09-21 17:24:29.561886 : Epoch  1, Batch     55, Loss  0.958338, Average Loss  1.091978, Time  0.220753
2021-09-21 17:24:31.028717 : Epoch  1, Batch     56, Loss  0.967275, Average Loss  1.089752, Time  0.220986
2021-09-21 17:24:32.489796 : Epoch  1, Batch     57, Loss  0.956601, Average Loss  1.087416, Time  0.221462
2021-09-21 17:24:33.945929 : Epoch  1, Batch     58, Loss  0.957365, Average Loss  1.085173, Time  0.220803
2021-09-21 17:24:35.408750 : Epoch  1, Batch     59, Loss  0.956775, Average Loss  1.082997, Time  0.221007
2021-09-21 17:24:36.873988 : Epoch  1, Batch     60, Loss  0.955980, Average Loss  1.080880, Time  0.221249
2021-09-21 17:24:38.616912 : Epoch  1, Batch     61, Loss  0.952287, Average Loss  1.078772, Time  0.220979
2021-09-21 17:24:40.067897 : Epoch  1, Batch     62, Loss  0.955215, Average Loss  1.076779, Time  0.220844
2021-09-21 17:24:41.526782 : Epoch  1, Batch     63, Loss  0.953018, Average Loss  1.074815, Time  0.221172
2021-09-21 17:24:42.977229 : Epoch  1, Batch     64, Loss  0.953614, Average Loss  1.072921, Time  0.220841
2021-09-21 17:24:44.439749 : Epoch  1, Batch     65, Loss  0.952972, Average Loss  1.071076, Time  0.220893
2021-09-21 17:24:45.894032 : Epoch  1, Batch     66, Loss  0.957993, Average Loss  1.069362, Time  0.221702
2021-09-21 17:24:47.354902 : Epoch  1, Batch     67, Loss  0.955496, Average Loss  1.067663, Time  0.221030
2021-09-21 17:24:48.814080 : Epoch  1, Batch     68, Loss  0.960557, Average Loss  1.066088, Time  0.221046
2021-09-21 17:24:50.271756 : Epoch  1, Batch     69, Loss  0.953086, Average Loss  1.064450, Time  0.220788
2021-09-21 17:24:51.731983 : Epoch  1, Batch     70, Loss  0.950741, Average Loss  1.062826, Time  0.220870
2021-09-21 17:24:53.188918 : Epoch  1, Batch     71, Loss  0.953161, Average Loss  1.061281, Time  0.220983
2021-09-21 17:24:54.645944 : Epoch  1, Batch     72, Loss  0.947641, Average Loss  1.059703, Time  0.221356
2021-09-21 17:24:56.095872 : Epoch  1, Batch     73, Loss  0.947876, Average Loss  1.058171, Time  0.220933
2021-09-21 17:24:57.580713 : Epoch  1, Batch     74, Loss  0.944100, Average Loss  1.056629, Time  0.221478
2021-09-21 17:24:59.033913 : Epoch  1, Batch     75, Loss  0.949383, Average Loss  1.055199, Time  0.220727
2021-09-21 17:25:00.487412 : Epoch  1, Batch     76, Loss  0.948525, Average Loss  1.053796, Time  0.220865
2021-09-21 17:25:01.965844 : Epoch  1, Batch     77, Loss  0.943885, Average Loss  1.052368, Time  0.221840
2021-09-21 17:25:03.425942 : Epoch  1, Batch     78, Loss  0.941819, Average Loss  1.050951, Time  0.220981
2021-09-21 17:25:04.888423 : Epoch  1, Batch     79, Loss  0.940005, Average Loss  1.049547, Time  0.220950
2021-09-21 17:25:06.348913 : Epoch  1, Batch     80, Loss  0.948205, Average Loss  1.048280, Time  0.221148
2021-09-21 17:25:07.814935 : Epoch  1, Batch     81, Loss  0.946675, Average Loss  1.047025, Time  0.220810
2021-09-21 17:25:09.298650 : Epoch  1, Batch     82, Loss  0.946775, Average Loss  1.045803, Time  0.221148
2021-09-21 17:25:10.769129 : Epoch  1, Batch     83, Loss  0.935658, Average Loss  1.044476, Time  0.220678
2021-09-21 17:25:12.228179 : Epoch  1, Batch     84, Loss  0.932945, Average Loss  1.043148, Time  0.220996
2021-09-21 17:25:13.690748 : Epoch  1, Batch     85, Loss  0.942027, Average Loss  1.041958, Time  0.220752
2021-09-21 17:25:15.151210 : Epoch  1, Batch     86, Loss  0.938769, Average Loss  1.040759, Time  0.220826
2021-09-21 17:25:16.608762 : Epoch  1, Batch     87, Loss  0.938075, Average Loss  1.039578, Time  0.220802
2021-09-21 17:25:18.067925 : Epoch  1, Batch     88, Loss  0.932395, Average Loss  1.038360, Time  0.220913
2021-09-21 17:25:19.526684 : Epoch  1, Batch     89, Loss  0.936158, Average Loss  1.037212, Time  0.220783
2021-09-21 17:25:20.990733 : Epoch  1, Batch     90, Loss  0.935365, Average Loss  1.036080, Time  0.221222
2021-09-21 17:25:22.448048 : Epoch  1, Batch     91, Loss  0.927120, Average Loss  1.034883, Time  0.221537
2021-09-21 17:25:23.900624 : Epoch  1, Batch     92, Loss  0.917976, Average Loss  1.033612, Time  0.221048
2021-09-21 17:25:25.351336 : Epoch  1, Batch     93, Loss  0.910949, Average Loss  1.032293, Time  0.220879
2021-09-21 17:25:26.829228 : Epoch  1, Batch     94, Loss  0.911967, Average Loss  1.031013, Time  0.221444
2021-09-21 17:25:28.281942 : Epoch  1, Batch     95, Loss  0.902685, Average Loss  1.029662, Time  0.220999
2021-09-21 17:25:29.732179 : Epoch  1, Batch     96, Loss  0.893827, Average Loss  1.028247, Time  0.221106
2021-09-21 17:25:31.183275 : Epoch  1, Batch     97, Loss  0.878328, Average Loss  1.026702, Time  0.220694
2021-09-21 17:25:32.636025 : Epoch  1, Batch     98, Loss  0.860347, Average Loss  1.025004, Time  0.221065
2021-09-21 17:25:34.106704 : Epoch  1, Batch     99, Loss  0.847929, Average Loss  1.023216, Time  0.220942
2021-09-21 17:25:35.577729 : Epoch  1, Batch    100, Loss  0.845526, Average Loss  1.021439, Time  0.221678
2021-09-21 17:26:30.832694 : CheckPoint: Validation Loss  0.00034412, Best Loss  0.00034412
2021-09-21 17:26:30.866756 : Best Model Updated
2021-09-21 17:26:33.177518 : Epoch  1, Batch    101, Loss  0.829700, Average Loss  1.019540, Time  0.221996
2021-09-21 17:26:34.647775 : Epoch  1, Batch    102, Loss  0.829110, Average Loss  1.017673, Time  0.221519
2021-09-21 17:26:36.107148 : Epoch  1, Batch    103, Loss  0.826134, Average Loss  1.015814, Time  0.221515
2021-09-21 17:26:37.566945 : Epoch  1, Batch    104, Loss  0.828761, Average Loss  1.014015, Time  0.221929
2021-09-21 17:26:39.034366 : Epoch  1, Batch    105, Loss  0.838143, Average Loss  1.012340, Time  0.221390
2021-09-21 17:26:40.498626 : Epoch  1, Batch    106, Loss  0.828065, Average Loss  1.010602, Time  0.221337
2021-09-21 17:26:41.965947 : Epoch  1, Batch    107, Loss  0.819069, Average Loss  1.008812, Time  0.221541
2021-09-21 17:26:43.430838 : Epoch  1, Batch    108, Loss  0.823436, Average Loss  1.007095, Time  0.221363
2021-09-21 17:26:44.915651 : Epoch  1, Batch    109, Loss  0.821630, Average Loss  1.005394, Time  0.221375
2021-09-21 17:26:46.391967 : Epoch  1, Batch    110, Loss  0.813482, Average Loss  1.003649, Time  0.221400
2021-09-21 17:26:47.855083 : Epoch  1, Batch    111, Loss  0.806774, Average Loss  1.001876, Time  0.221084
2021-09-21 17:26:49.311023 : Epoch  1, Batch    112, Loss  0.814449, Average Loss  1.000202, Time  0.221145
2021-09-21 17:26:50.772965 : Epoch  1, Batch    113, Loss  0.812311, Average Loss  0.998539, Time  0.221359
2021-09-21 17:26:52.240648 : Epoch  1, Batch    114, Loss  0.812082, Average Loss  0.996904, Time  0.221389
2021-09-21 17:26:53.700003 : Epoch  1, Batch    115, Loss  0.810504, Average Loss  0.995283, Time  0.221088
2021-09-21 17:26:55.168696 : Epoch  1, Batch    116, Loss  0.801466, Average Loss  0.993612, Time  0.221557
2021-09-21 17:26:56.630946 : Epoch  1, Batch    117, Loss  0.797244, Average Loss  0.991934, Time  0.221253
2021-09-21 17:26:58.103071 : Epoch  1, Batch    118, Loss  0.798343, Average Loss  0.990293, Time  0.221065
2021-09-21 17:26:59.569974 : Epoch  1, Batch    119, Loss  0.801006, Average Loss  0.988702, Time  0.221123
2021-09-21 17:27:01.036967 : Epoch  1, Batch    120, Loss  0.798648, Average Loss  0.987119, Time  0.221478
2021-09-21 17:27:02.496790 : Epoch  1, Batch    121, Loss  0.788411, Average Loss  0.985476, Time  0.221111
2021-09-21 17:27:03.961470 : Epoch  1, Batch    122, Loss  0.782267, Average Loss  0.983811, Time  0.221513
2021-09-21 17:27:05.427714 : Epoch  1, Batch    123, Loss  0.780720, Average Loss  0.982160, Time  0.221333
2021-09-21 17:27:06.897862 : Epoch  1, Batch    124, Loss  0.776348, Average Loss  0.980500, Time  0.222463
2021-09-21 17:27:08.366805 : Epoch  1, Batch    125, Loss  0.765054, Average Loss  0.978776, Time  0.222046
2021-09-21 17:27:09.847777 : Epoch  1, Batch    126, Loss  0.763719, Average Loss  0.977069, Time  0.221220
2021-09-21 17:27:11.316974 : Epoch  1, Batch    127, Loss  0.759995, Average Loss  0.975360, Time  0.221728
2021-09-21 17:27:12.784704 : Epoch  1, Batch    128, Loss  0.749012, Average Loss  0.973592, Time  0.221892
2021-09-21 17:27:14.239769 : Epoch  1, Batch    129, Loss  0.736579, Average Loss  0.971755, Time  0.221155
2021-09-21 17:27:15.704924 : Epoch  1, Batch    130, Loss  0.714694, Average Loss  0.969777, Time  0.221153
2021-09-21 17:27:17.168763 : Epoch  1, Batch    131, Loss  0.693030, Average Loss  0.967665, Time  0.221409
2021-09-21 17:27:18.629785 : Epoch  1, Batch    132, Loss  0.694663, Average Loss  0.965596, Time  0.221739
2021-09-21 17:27:20.087015 : Epoch  1, Batch    133, Loss  0.681081, Average Loss  0.963457, Time  0.221062
2021-09-21 17:27:21.551760 : Epoch  1, Batch    134, Loss  0.679233, Average Loss  0.961336, Time  0.221221
2021-09-21 17:27:23.015755 : Epoch  1, Batch    135, Loss  0.675037, Average Loss  0.959215, Time  0.221194
2021-09-21 17:27:24.469829 : Epoch  1, Batch    136, Loss  0.665187, Average Loss  0.957053, Time  0.221587
2021-09-21 17:27:25.928881 : Epoch  1, Batch    137, Loss  0.647641, Average Loss  0.954795, Time  0.221285
2021-09-21 17:27:27.401074 : Epoch  1, Batch    138, Loss  0.667166, Average Loss  0.952711, Time  0.221014
2021-09-21 17:27:28.858170 : Epoch  1, Batch    139, Loss  0.662239, Average Loss  0.950621, Time  0.222056
2021-09-21 17:27:30.319937 : Epoch  1, Batch    140, Loss  0.663040, Average Loss  0.948567, Time  0.221483
2021-09-21 17:27:31.788677 : Epoch  1, Batch    141, Loss  0.653204, Average Loss  0.946472, Time  0.221725
2021-09-21 17:27:33.252827 : Epoch  1, Batch    142, Loss  0.663310, Average Loss  0.944478, Time  0.221935
2021-09-21 17:27:34.712872 : Epoch  1, Batch    143, Loss  0.650544, Average Loss  0.942422, Time  0.221056
2021-09-21 17:27:36.165977 : Epoch  1, Batch    144, Loss  0.660175, Average Loss  0.940462, Time  0.221216
2021-09-21 17:27:37.632779 : Epoch  1, Batch    145, Loss  0.668278, Average Loss  0.938585, Time  0.221222
2021-09-21 17:27:39.095691 : Epoch  1, Batch    146, Loss  0.657825, Average Loss  0.936662, Time  0.221077
2021-09-21 17:27:40.556078 : Epoch  1, Batch    147, Loss  0.656835, Average Loss  0.934759, Time  0.221620
2021-09-21 17:27:42.015922 : Epoch  1, Batch    148, Loss  0.664136, Average Loss  0.932930, Time  0.221153
2021-09-21 17:27:43.482822 : Epoch  1, Batch    149, Loss  0.655977, Average Loss  0.931071, Time  0.221708
2021-09-21 17:27:44.940685 : Epoch  1, Batch    150, Loss  0.647327, Average Loss  0.929180, Time  0.221329
2021-09-21 17:27:46.393560 : Epoch  1, Batch    151, Loss  0.642004, Average Loss  0.927278, Time  0.221127
2021-09-21 17:27:47.860684 : Epoch  1, Batch    152, Loss  0.667411, Average Loss  0.925568, Time  0.221121
2021-09-21 17:27:49.331051 : Epoch  1, Batch    153, Loss  0.652350, Average Loss  0.923783, Time  0.221228
2021-09-21 17:27:50.788860 : Epoch  1, Batch    154, Loss  0.654248, Average Loss  0.922032, Time  0.220799
2021-09-21 17:27:52.250163 : Epoch  1, Batch    155, Loss  0.654977, Average Loss  0.920309, Time  0.221454
2021-09-21 17:27:53.704778 : Epoch  1, Batch    156, Loss  0.654824, Average Loss  0.918608, Time  0.221102
2021-09-21 17:27:55.154999 : Epoch  1, Batch    157, Loss  0.662554, Average Loss  0.916977, Time  0.220922
2021-09-21 17:27:56.613005 : Epoch  1, Batch    158, Loss  0.658339, Average Loss  0.915340, Time  0.221195
2021-09-21 17:27:58.138997 : Epoch  1, Batch    159, Loss  0.658285, Average Loss  0.913723, Time  0.221148
2021-09-21 17:27:59.598597 : Epoch  1, Batch    160, Loss  0.663095, Average Loss  0.912157, Time  0.221136
2021-09-21 17:28:01.068934 : Epoch  1, Batch    161, Loss  0.652669, Average Loss  0.910545, Time  0.221078
2021-09-21 17:28:02.525973 : Epoch  1, Batch    162, Loss  0.649256, Average Loss  0.908932, Time  0.222173
2021-09-21 17:28:03.975181 : Epoch  1, Batch    163, Loss  0.657250, Average Loss  0.907388, Time  0.221114
2021-09-21 17:28:05.432205 : Epoch  1, Batch    164, Loss  0.648982, Average Loss  0.905812, Time  0.221075
2021-09-21 17:28:06.895955 : Epoch  1, Batch    165, Loss  0.646441, Average Loss  0.904240, Time  0.221608
2021-09-21 17:28:08.353931 : Epoch  1, Batch    166, Loss  0.656810, Average Loss  0.902750, Time  0.221222
2021-09-21 17:28:09.825977 : Epoch  1, Batch    167, Loss  0.661761, Average Loss  0.901307, Time  0.221026
2021-09-21 17:28:11.280812 : Epoch  1, Batch    168, Loss  0.647933, Average Loss  0.899799, Time  0.221652
2021-09-21 17:28:12.773988 : Epoch  1, Batch    169, Loss  0.653554, Average Loss  0.898341, Time  0.221444
2021-09-21 17:28:14.265944 : Epoch  1, Batch    170, Loss  0.652254, Average Loss  0.896894, Time  0.221538
2021-09-21 17:28:18.008859 : Epoch  1, Batch    171, Loss  0.642386, Average Loss  0.895406, Time  0.255988
2021-09-21 17:28:19.484819 : Epoch  1, Batch    172, Loss  0.645744, Average Loss  0.893954, Time  0.221481
2021-09-21 17:28:20.943765 : Epoch  1, Batch    173, Loss  0.652952, Average Loss  0.892561, Time  0.221199
2021-09-21 17:28:22.402158 : Epoch  1, Batch    174, Loss  0.648661, Average Loss  0.891159, Time  0.221628
2021-09-21 17:28:23.848981 : Epoch  1, Batch    175, Loss  0.646363, Average Loss  0.889760, Time  0.221429
2021-09-21 17:28:25.306005 : Epoch  1, Batch    176, Loss  0.639918, Average Loss  0.888341, Time  0.221096
2021-09-21 17:28:26.759024 : Epoch  1, Batch    177, Loss  0.651145, Average Loss  0.887001, Time  0.221636
2021-09-21 17:28:28.212183 : Epoch  1, Batch    178, Loss  0.655646, Average Loss  0.885701, Time  0.221042
2021-09-21 17:28:29.664979 : Epoch  1, Batch    179, Loss  0.646217, Average Loss  0.884363, Time  0.221275
2021-09-21 17:28:31.141021 : Epoch  1, Batch    180, Loss  0.648791, Average Loss  0.883054, Time  0.221673
2021-09-21 17:28:32.607685 : Epoch  1, Batch    181, Loss  0.639231, Average Loss  0.881707, Time  0.221440
2021-09-21 17:28:34.061952 : Epoch  1, Batch    182, Loss  0.654303, Average Loss  0.880458, Time  0.221162
2021-09-21 17:28:35.528703 : Epoch  1, Batch    183, Loss  0.635031, Average Loss  0.879117, Time  0.221342
2021-09-21 17:28:36.980693 : Epoch  1, Batch    184, Loss  0.655332, Average Loss  0.877900, Time  0.221547
2021-09-21 17:28:38.444737 : Epoch  1, Batch    185, Loss  0.650720, Average Loss  0.876672, Time  0.221406
2021-09-21 17:28:39.900195 : Epoch  1, Batch    186, Loss  0.649732, Average Loss  0.875452, Time  0.221070
2021-09-21 17:28:41.358762 : Epoch  1, Batch    187, Loss  0.648024, Average Loss  0.874236, Time  0.220905
2021-09-21 17:28:42.839263 : Epoch  1, Batch    188, Loss  0.652039, Average Loss  0.873054, Time  0.221282
2021-09-21 17:28:44.302175 : Epoch  1, Batch    189, Loss  0.649480, Average Loss  0.871871, Time  0.221073
2021-09-21 17:28:45.760181 : Epoch  1, Batch    190, Loss  0.639512, Average Loss  0.870648, Time  0.221058
2021-09-21 17:28:47.225964 : Epoch  1, Batch    191, Loss  0.653801, Average Loss  0.869513, Time  0.221301
2021-09-21 17:28:48.699183 : Epoch  1, Batch    192, Loss  0.637393, Average Loss  0.868304, Time  0.222242
2021-09-21 17:28:50.163245 : Epoch  1, Batch    193, Loss  0.660455, Average Loss  0.867227, Time  0.221281
2021-09-21 17:28:51.646198 : Epoch  1, Batch    194, Loss  0.647384, Average Loss  0.866094, Time  0.221468
2021-09-21 17:28:53.116030 : Epoch  1, Batch    195, Loss  0.659786, Average Loss  0.865036, Time  0.221244
2021-09-21 17:28:54.577712 : Epoch  1, Batch    196, Loss  0.646475, Average Loss  0.863921, Time  0.221357
2021-09-21 17:28:56.039967 : Epoch  1, Batch    197, Loss  0.650130, Average Loss  0.862836, Time  0.221303
2021-09-21 17:28:57.520997 : Epoch  1, Batch    198, Loss  0.648651, Average Loss  0.861754, Time  0.221923
2021-09-21 17:28:58.978303 : Epoch  1, Batch    199, Loss  0.637580, Average Loss  0.860627, Time  0.221225
2021-09-21 17:29:00.435990 : Epoch  1, Batch    200, Loss  0.643815, Average Loss  0.859543, Time  0.221347
2021-09-21 17:29:55.316662 : CheckPoint: Validation Loss  0.00027022, Best Loss  0.00027022
2021-09-21 17:29:55.352461 : Best Model Updated
2021-09-21 17:29:57.347982 : Epoch  1, Batch    201, Loss  0.648333, Average Loss  0.856190, Time  0.221637
2021-09-21 17:29:58.827836 : Epoch  1, Batch    202, Loss  0.650438, Average Loss  0.852821, Time  0.221374
2021-09-21 17:30:00.291740 : Epoch  1, Batch    203, Loss  0.646071, Average Loss  0.849409, Time  0.221663
2021-09-21 17:30:01.757717 : Epoch  1, Batch    204, Loss  0.652238, Average Loss  0.846059, Time  0.221900
2021-09-21 17:30:03.222716 : Epoch  1, Batch    205, Loss  0.658117, Average Loss  0.842835, Time  0.221383
2021-09-21 17:30:04.679123 : Epoch  1, Batch    206, Loss  0.656510, Average Loss  0.839599, Time  0.222168
2021-09-21 17:30:06.143942 : Epoch  1, Batch    207, Loss  0.648241, Average Loss  0.836293, Time  0.221894
2021-09-21 17:30:07.625720 : Epoch  1, Batch    208, Loss  0.653703, Average Loss  0.833138, Time  0.221530
2021-09-21 17:30:09.103955 : Epoch  1, Batch    209, Loss  0.649513, Average Loss  0.830005, Time  0.221309
2021-09-21 17:30:10.565710 : Epoch  1, Batch    210, Loss  0.644224, Average Loss  0.826801, Time  0.221180
2021-09-21 17:30:12.024984 : Epoch  1, Batch    211, Loss  0.636760, Average Loss  0.823636, Time  0.221120
2021-09-21 17:30:13.479998 : Epoch  1, Batch    212, Loss  0.643165, Average Loss  0.820631, Time  0.221120
2021-09-21 17:30:14.935949 : Epoch  1, Batch    213, Loss  0.642671, Average Loss  0.817728, Time  0.221111
2021-09-21 17:30:16.402687 : Epoch  1, Batch    214, Loss  0.649964, Average Loss  0.814927, Time  0.221317
2021-09-21 17:30:17.859849 : Epoch  1, Batch    215, Loss  0.646063, Average Loss  0.812136, Time  0.221252
2021-09-21 17:30:19.316040 : Epoch  1, Batch    216, Loss  0.647819, Average Loss  0.809371, Time  0.221117
2021-09-21 17:30:20.779888 : Epoch  1, Batch    217, Loss  0.655740, Average Loss  0.806777, Time  0.220891
2021-09-21 17:30:22.252076 : Epoch  1, Batch    218, Loss  0.645867, Average Loss  0.804154, Time  0.221769
2021-09-21 17:30:23.723071 : Epoch  1, Batch    219, Loss  0.646114, Average Loss  0.801666, Time  0.221548
2021-09-21 17:30:25.185945 : Epoch  1, Batch    220, Loss  0.645989, Average Loss  0.799282, Time  0.221218
2021-09-21 17:30:26.649702 : Epoch  1, Batch    221, Loss  0.656322, Average Loss  0.797016, Time  0.221377
2021-09-21 17:30:28.121122 : Epoch  1, Batch    222, Loss  0.639526, Average Loss  0.794710, Time  0.221443
2021-09-21 17:30:29.673112 : Epoch  1, Batch    223, Loss  0.650233, Average Loss  0.792602, Time  0.221258
2021-09-21 17:30:31.135954 : Epoch  1, Batch    224, Loss  0.656068, Average Loss  0.790545, Time  0.221125
2021-09-21 17:30:32.593995 : Epoch  1, Batch    225, Loss  0.637714, Average Loss  0.788456, Time  0.221046
2021-09-21 17:30:34.062729 : Epoch  1, Batch    226, Loss  0.642295, Average Loss  0.786423, Time  0.221196
2021-09-21 17:30:35.527015 : Epoch  1, Batch    227, Loss  0.645678, Average Loss  0.784468, Time  0.221215
2021-09-21 17:30:37.093052 : Epoch  1, Batch    228, Loss  0.643815, Average Loss  0.782501, Time  0.221368
2021-09-21 17:30:38.559691 : Epoch  1, Batch    229, Loss  0.638669, Average Loss  0.780549, Time  0.221642
2021-09-21 17:30:40.033015 : Epoch  1, Batch    230, Loss  0.644997, Average Loss  0.778695, Time  0.221608
2021-09-21 17:30:41.507850 : Epoch  1, Batch    231, Loss  0.640005, Average Loss  0.776826, Time  0.221681
2021-09-21 17:30:42.970759 : Epoch  1, Batch    232, Loss  0.649117, Average Loss  0.775035, Time  0.221333
2021-09-21 17:30:44.434837 : Epoch  1, Batch    233, Loss  0.650264, Average Loss  0.773273, Time  0.221339
2021-09-21 17:30:45.908741 : Epoch  1, Batch    234, Loss  0.655285, Average Loss  0.771548, Time  0.222018
2021-09-21 17:30:47.380991 : Epoch  1, Batch    235, Loss  0.649202, Average Loss  0.769819, Time  0.221266
2021-09-21 17:30:48.843058 : Epoch  1, Batch    236, Loss  0.647785, Average Loss  0.768125, Time  0.221560
2021-09-21 17:30:50.306719 : Epoch  1, Batch    237, Loss  0.640688, Average Loss  0.766397, Time  0.222041
2021-09-21 17:30:51.776783 : Epoch  1, Batch    238, Loss  0.651948, Average Loss  0.764734, Time  0.221820
2021-09-21 17:30:53.241792 : Epoch  1, Batch    239, Loss  0.649946, Average Loss  0.763081, Time  0.221004
2021-09-21 17:30:54.836798 : Epoch  1, Batch    240, Loss  0.643651, Average Loss  0.761381, Time  0.221311
2021-09-21 17:30:56.305776 : Epoch  1, Batch    241, Loss  0.640646, Average Loss  0.759700, Time  0.221118
2021-09-21 17:30:57.762726 : Epoch  1, Batch    242, Loss  0.652602, Average Loss  0.758074, Time  0.221133
2021-09-21 17:30:59.239867 : Epoch  1, Batch    243, Loss  0.654800, Average Loss  0.756453, Time  0.222394
2021-09-21 17:31:00.695942 : Epoch  1, Batch    244, Loss  0.649280, Average Loss  0.754838, Time  0.221245
2021-09-21 17:31:02.155881 : Epoch  1, Batch    245, Loss  0.646895, Average Loss  0.753218, Time  0.221275
2021-09-21 17:31:03.610945 : Epoch  1, Batch    246, Loss  0.647577, Average Loss  0.751611, Time  0.221379
2021-09-21 17:31:05.064476 : Epoch  1, Batch    247, Loss  0.649938, Average Loss  0.749981, Time  0.221165
2021-09-21 17:31:06.518811 : Epoch  1, Batch    248, Loss  0.649308, Average Loss  0.748384, Time  0.221918
2021-09-21 17:31:07.976122 : Epoch  1, Batch    249, Loss  0.655883, Average Loss  0.746859, Time  0.221141
2021-09-21 17:31:09.446702 : Epoch  1, Batch    250, Loss  0.647273, Average Loss  0.745272, Time  0.221593
2021-09-21 17:31:10.906793 : Epoch  1, Batch    251, Loss  0.639364, Average Loss  0.743634, Time  0.222081
2021-09-21 17:31:12.365933 : Epoch  1, Batch    252, Loss  0.648553, Average Loss  0.742065, Time  0.221451
2021-09-21 17:31:13.811382 : Epoch  1, Batch    253, Loss  0.650590, Average Loss  0.740508, Time  0.221192
2021-09-21 17:31:15.270872 : Epoch  1, Batch    254, Loss  0.646173, Average Loss  0.738939, Time  0.221854
2021-09-21 17:31:16.728788 : Epoch  1, Batch    255, Loss  0.649799, Average Loss  0.737396, Time  0.221168
2021-09-21 17:31:18.187952 : Epoch  1, Batch    256, Loss  0.647492, Average Loss  0.735797, Time  0.221114
2021-09-21 17:31:19.670711 : Epoch  1, Batch    257, Loss  0.647634, Average Loss  0.734253, Time  0.223915
2021-09-21 17:31:21.133464 : Epoch  1, Batch    258, Loss  0.647879, Average Loss  0.732705, Time  0.221733
2021-09-21 17:31:22.587837 : Epoch  1, Batch    259, Loss  0.651379, Average Loss  0.731178, Time  0.221372
2021-09-21 17:31:24.053059 : Epoch  1, Batch    260, Loss  0.651814, Average Loss  0.729657, Time  0.221575
2021-09-21 17:31:25.516878 : Epoch  1, Batch    261, Loss  0.636404, Average Loss  0.728078, Time  0.221209
2021-09-21 17:31:27.136516 : Epoch  1, Batch    262, Loss  0.648095, Average Loss  0.726542, Time  0.221409
2021-09-21 17:31:28.589985 : Epoch  1, Batch    263, Loss  0.654706, Average Loss  0.725051, Time  0.221291
2021-09-21 17:31:28.738012 : Epoch  1, Batch    264, Loss  0.612090, Average Loss  0.723343, Time  0.091691
2021-09-21 17:31:30.202730 : Epoch  1, Batch    265, Loss  0.645565, Average Loss  0.721806, Time  0.221420
2021-09-21 17:31:31.667956 : Epoch  1, Batch    266, Loss  0.656453, Average Loss  0.720298, Time  0.222884
2021-09-21 17:31:33.135693 : Epoch  1, Batch    267, Loss  0.667532, Average Loss  0.718859, Time  0.221318
2021-09-21 17:31:34.601806 : Epoch  1, Batch    268, Loss  0.640341, Average Loss  0.717258, Time  0.221451
2021-09-21 17:31:36.067936 : Epoch  1, Batch    269, Loss  0.638928, Average Loss  0.715687, Time  0.221381
2021-09-21 17:31:37.539689 : Epoch  1, Batch    270, Loss  0.653278, Average Loss  0.714199, Time  0.221280
2021-09-21 17:31:38.994896 : Epoch  1, Batch    271, Loss  0.644783, Average Loss  0.712658, Time  0.221464
2021-09-21 17:31:42.808839 : Epoch  1, Batch    272, Loss  0.647569, Average Loss  0.711157, Time  0.254472
2021-09-21 17:31:44.291133 : Epoch  1, Batch    273, Loss  0.643264, Average Loss  0.709634, Time  0.239624
2021-09-21 17:31:45.746774 : Epoch  1, Batch    274, Loss  0.649124, Average Loss  0.708159, Time  0.222903
2021-09-21 17:31:47.197897 : Epoch  1, Batch    275, Loss  0.646525, Average Loss  0.706645, Time  0.221714
2021-09-21 17:31:48.648841 : Epoch  1, Batch    276, Loss  0.650097, Average Loss  0.705153, Time  0.222014
2021-09-21 17:31:50.099883 : Epoch  1, Batch    277, Loss  0.647619, Average Loss  0.703671, Time  0.221426
2021-09-21 17:31:51.562702 : Epoch  1, Batch    278, Loss  0.641549, Average Loss  0.702170, Time  0.221263
2021-09-21 17:31:53.008112 : Epoch  1, Batch    279, Loss  0.645595, Average Loss  0.700698, Time  0.221329
2021-09-21 17:31:54.456952 : Epoch  1, Batch    280, Loss  0.644558, Average Loss  0.699180, Time  0.221200
2021-09-21 17:31:55.908653 : Epoch  1, Batch    281, Loss  0.639451, Average Loss  0.697644, Time  0.221431
2021-09-21 17:31:57.359758 : Epoch  1, Batch    282, Loss  0.652598, Average Loss  0.696173, Time  0.221408
2021-09-21 17:31:58.803114 : Epoch  1, Batch    283, Loss  0.646737, Average Loss  0.694728, Time  0.221377
2021-09-21 17:32:00.265869 : Epoch  1, Batch    284, Loss  0.651016, Average Loss  0.693319, Time  0.221382
2021-09-21 17:32:01.733859 : Epoch  1, Batch    285, Loss  0.638851, Average Loss  0.691803, Time  0.221465
2021-09-21 17:32:03.183972 : Epoch  1, Batch    286, Loss  0.636951, Average Loss  0.690294, Time  0.221159
2021-09-21 17:32:04.638116 : Epoch  1, Batch    287, Loss  0.645769, Average Loss  0.688832, Time  0.221307
2021-09-21 17:32:06.080261 : Epoch  1, Batch    288, Loss  0.644898, Average Loss  0.687395, Time  0.221521
2021-09-21 17:32:07.529884 : Epoch  1, Batch    289, Loss  0.645601, Average Loss  0.685942, Time  0.221245
2021-09-21 17:32:08.989921 : Epoch  1, Batch    290, Loss  0.641059, Average Loss  0.684470, Time  0.221182
2021-09-21 17:32:10.445614 : Epoch  1, Batch    291, Loss  0.641430, Average Loss  0.683042, Time  0.222078
2021-09-21 17:32:11.904103 : Epoch  1, Batch    292, Loss  0.646971, Average Loss  0.681687, Time  0.221055
2021-09-21 17:32:13.353102 : Epoch  1, Batch    293, Loss  0.644840, Average Loss  0.680356, Time  0.221283
2021-09-21 17:32:14.806761 : Epoch  1, Batch    294, Loss  0.643474, Average Loss  0.679014, Time  0.221334
2021-09-21 17:32:16.281726 : Epoch  1, Batch    295, Loss  0.652380, Average Loss  0.677762, Time  0.221427
2021-09-21 17:32:17.743997 : Epoch  1, Batch    296, Loss  0.640530, Average Loss  0.676496, Time  0.224602
2021-09-21 17:32:19.212939 : Epoch  1, Batch    297, Loss  0.645134, Average Loss  0.675330, Time  0.221031
2021-09-21 17:32:20.665942 : Epoch  1, Batch    298, Loss  0.649269, Average Loss  0.674274, Time  0.221170
2021-09-21 17:32:22.118959 : Epoch  1, Batch    299, Loss  0.644766, Average Loss  0.673259, Time  0.224547
2021-09-21 17:32:23.566133 : Epoch  1, Batch    300, Loss  0.642968, Average Loss  0.672246, Time  0.221103
2021-09-21 17:33:18.647695 : CheckPoint: Validation Loss  0.00026744, Best Loss  0.00026744
2021-09-21 17:33:18.681922 : Best Model Updated
2021-09-21 17:33:20.747394 : Epoch  1, Batch    301, Loss  0.653292, Average Loss  0.671364, Time  0.258374
2021-09-21 17:33:22.229129 : Epoch  1, Batch    302, Loss  0.637131, Average Loss  0.670404, Time  0.241717
2021-09-21 17:33:23.680882 : Epoch  1, Batch    303, Loss  0.648018, Average Loss  0.669513, Time  0.227912
2021-09-21 17:33:25.129061 : Epoch  1, Batch    304, Loss  0.652082, Average Loss  0.668630, Time  0.222145
2021-09-21 17:33:26.589939 : Epoch  1, Batch    305, Loss  0.656201, Average Loss  0.667720, Time  0.221093
2021-09-21 17:33:28.094927 : Epoch  1, Batch    306, Loss  0.639550, Average Loss  0.666778, Time  0.221312
2021-09-21 17:33:29.552007 : Epoch  1, Batch    307, Loss  0.646336, Average Loss  0.665914, Time  0.222269
2021-09-21 17:33:31.023945 : Epoch  1, Batch    308, Loss  0.648132, Average Loss  0.665037, Time  0.221270
2021-09-21 17:33:32.472712 : Epoch  1, Batch    309, Loss  0.651292, Average Loss  0.664186, Time  0.221229
2021-09-21 17:33:33.918902 : Epoch  1, Batch    310, Loss  0.639059, Average Loss  0.663314, Time  0.221373
2021-09-21 17:33:35.366741 : Epoch  1, Batch    311, Loss  0.635710, Average Loss  0.662458, Time  0.221130
2021-09-21 17:33:36.813297 : Epoch  1, Batch    312, Loss  0.636191, Average Loss  0.661567, Time  0.222036
2021-09-21 17:33:38.281544 : Epoch  1, Batch    313, Loss  0.642528, Average Loss  0.660718, Time  0.221667
2021-09-21 17:33:39.739967 : Epoch  1, Batch    314, Loss  0.648224, Average Loss  0.659899, Time  0.222196
2021-09-21 17:33:41.190774 : Epoch  1, Batch    315, Loss  0.646061, Average Loss  0.659077, Time  0.221804
2021-09-21 17:33:42.637142 : Epoch  1, Batch    316, Loss  0.640175, Average Loss  0.658270, Time  0.221443
2021-09-21 17:33:44.089942 : Epoch  1, Batch    317, Loss  0.638759, Average Loss  0.657478, Time  0.221289
2021-09-21 17:33:45.526136 : Epoch  1, Batch    318, Loss  0.655274, Average Loss  0.656762, Time  0.221514
2021-09-21 17:33:46.975127 : Epoch  1, Batch    319, Loss  0.641867, Average Loss  0.655967, Time  0.221318
2021-09-21 17:33:48.425120 : Epoch  1, Batch    320, Loss  0.649632, Average Loss  0.655222, Time  0.221185
2021-09-21 17:33:49.882979 : Epoch  1, Batch    321, Loss  0.643322, Average Loss  0.654496, Time  0.221810
2021-09-21 17:33:51.337102 : Epoch  1, Batch    322, Loss  0.641211, Average Loss  0.653791, Time  0.221126
2021-09-21 17:33:52.782709 : Epoch  1, Batch    323, Loss  0.649579, Average Loss  0.653135, Time  0.221122
2021-09-21 17:33:54.243128 : Epoch  1, Batch    324, Loss  0.639453, Average Loss  0.652451, Time  0.221600
2021-09-21 17:33:55.689961 : Epoch  1, Batch    325, Loss  0.634920, Average Loss  0.651800, Time  0.221005
2021-09-21 17:33:57.148689 : Epoch  1, Batch    326, Loss  0.642032, Average Loss  0.651192, Time  0.221810
2021-09-21 17:33:58.606129 : Epoch  1, Batch    327, Loss  0.648876, Average Loss  0.650636, Time  0.221344
2021-09-21 17:34:00.083182 : Epoch  1, Batch    328, Loss  0.651712, Average Loss  0.650150, Time  0.221474
2021-09-21 17:34:01.544839 : Epoch  1, Batch    329, Loss  0.644303, Average Loss  0.649688, Time  0.221328
2021-09-21 17:34:02.995100 : Epoch  1, Batch    330, Loss  0.645792, Average Loss  0.649344, Time  0.221252
2021-09-21 17:34:04.440595 : Epoch  1, Batch    331, Loss  0.651460, Average Loss  0.649136, Time  0.221366
2021-09-21 17:34:05.886907 : Epoch  1, Batch    332, Loss  0.645761, Average Loss  0.648891, Time  0.221578
2021-09-21 17:34:07.332748 : Epoch  1, Batch    333, Loss  0.645069, Average Loss  0.648711, Time  0.221027
2021-09-21 17:34:08.777113 : Epoch  1, Batch    334, Loss  0.640775, Average Loss  0.648519, Time  0.221007
2021-09-21 17:34:10.219972 : Epoch  1, Batch    335, Loss  0.643696, Average Loss  0.648362, Time  0.220859
2021-09-21 17:34:11.674126 : Epoch  1, Batch    336, Loss  0.646828, Average Loss  0.648270, Time  0.221318
2021-09-21 17:34:13.116691 : Epoch  1, Batch    337, Loss  0.647280, Average Loss  0.648269, Time  0.221207
2021-09-21 17:34:14.563422 : Epoch  1, Batch    338, Loss  0.640729, Average Loss  0.648136, Time  0.221601
2021-09-21 17:34:16.003897 : Epoch  1, Batch    339, Loss  0.644765, Average Loss  0.648049, Time  0.221446
2021-09-21 17:34:17.448130 : Epoch  1, Batch    340, Loss  0.642498, Average Loss  0.647946, Time  0.221088
2021-09-21 17:34:18.904730 : Epoch  1, Batch    341, Loss  0.644333, Average Loss  0.647902, Time  0.221844
2021-09-21 17:34:20.354885 : Epoch  1, Batch    342, Loss  0.649253, Average Loss  0.647832, Time  0.221226
2021-09-21 17:34:21.796967 : Epoch  1, Batch    343, Loss  0.649932, Average Loss  0.647829, Time  0.221167
2021-09-21 17:34:23.244874 : Epoch  1, Batch    344, Loss  0.647743, Average Loss  0.647766, Time  0.221643
2021-09-21 17:34:24.695787 : Epoch  1, Batch    345, Loss  0.637366, Average Loss  0.647612, Time  0.221308
2021-09-21 17:34:26.144779 : Epoch  1, Batch    346, Loss  0.648469, Average Loss  0.647565, Time  0.221508
2021-09-21 17:34:27.592200 : Epoch  1, Batch    347, Loss  0.633264, Average Loss  0.647447, Time  0.221422
2021-09-21 17:34:29.037934 : Epoch  1, Batch    348, Loss  0.634069, Average Loss  0.647297, Time  0.221164
2021-09-21 17:34:30.502706 : Epoch  1, Batch    349, Loss  0.635021, Average Loss  0.647192, Time  0.221272
2021-09-21 17:34:31.956035 : Epoch  1, Batch    350, Loss  0.648201, Average Loss  0.647197, Time  0.221663
2021-09-21 17:34:33.399876 : Epoch  1, Batch    351, Loss  0.636360, Average Loss  0.647168, Time  0.221138
2021-09-21 17:34:34.854733 : Epoch  1, Batch    352, Loss  0.633583, Average Loss  0.646999, Time  0.221815
2021-09-21 17:34:36.298944 : Epoch  1, Batch    353, Loss  0.650450, Average Loss  0.646990, Time  0.221303
2021-09-21 17:34:37.751142 : Epoch  1, Batch    354, Loss  0.645771, Average Loss  0.646947, Time  0.221338
2021-09-21 17:34:39.203752 : Epoch  1, Batch    355, Loss  0.648642, Average Loss  0.646916, Time  0.221049
2021-09-21 17:34:40.646939 : Epoch  1, Batch    356, Loss  0.654630, Average Loss  0.646915, Time  0.221227
2021-09-21 17:34:42.099906 : Epoch  1, Batch    357, Loss  0.645209, Average Loss  0.646828, Time  0.221270
2021-09-21 17:34:43.558937 : Epoch  1, Batch    358, Loss  0.646489, Average Loss  0.646769, Time  0.221169
2021-09-21 17:34:45.017198 : Epoch  1, Batch    359, Loss  0.639582, Average Loss  0.646675, Time  0.221334
2021-09-21 17:34:46.472209 : Epoch  1, Batch    360, Loss  0.642710, Average Loss  0.646573, Time  0.221367
2021-09-21 17:34:47.930718 : Epoch  1, Batch    361, Loss  0.639698, Average Loss  0.646508, Time  0.222221
2021-09-21 17:34:49.391996 : Epoch  1, Batch    362, Loss  0.640316, Average Loss  0.646464, Time  0.221863
2021-09-21 17:34:50.848966 : Epoch  1, Batch    363, Loss  0.646686, Average Loss  0.646411, Time  0.221186
2021-09-21 17:34:52.307788 : Epoch  1, Batch    364, Loss  0.643711, Average Loss  0.646385, Time  0.223822
2021-09-21 17:34:53.797993 : Epoch  1, Batch    365, Loss  0.645164, Average Loss  0.646378, Time  0.221369
2021-09-21 17:34:55.256197 : Epoch  1, Batch    366, Loss  0.634745, Average Loss  0.646268, Time  0.221102
2021-09-21 17:34:56.718957 : Epoch  1, Batch    367, Loss  0.635392, Average Loss  0.646136, Time  0.221014
2021-09-21 17:34:58.208952 : Epoch  1, Batch    368, Loss  0.647752, Average Loss  0.646135, Time  0.221041
2021-09-21 17:34:59.664878 : Epoch  1, Batch    369, Loss  0.651524, Average Loss  0.646125, Time  0.221221
2021-09-21 17:35:01.140784 : Epoch  1, Batch    370, Loss  0.649786, Average Loss  0.646113, Time  0.221469
2021-09-21 17:35:04.982741 : Epoch  1, Batch    371, Loss  0.633793, Average Loss  0.646070, Time  0.260454
2021-09-21 17:35:06.489997 : Epoch  1, Batch    372, Loss  0.649723, Average Loss  0.646089, Time  0.241779
2021-09-21 17:35:07.954026 : Epoch  1, Batch    373, Loss  0.643214, Average Loss  0.646041, Time  0.227850
2021-09-21 17:35:09.415118 : Epoch  1, Batch    374, Loss  0.653389, Average Loss  0.646064, Time  0.221289
2021-09-21 17:35:10.869129 : Epoch  1, Batch    375, Loss  0.639287, Average Loss  0.646029, Time  0.221110
2021-09-21 17:35:12.329134 : Epoch  1, Batch    376, Loss  0.630754, Average Loss  0.645983, Time  0.221700
2021-09-21 17:35:13.788785 : Epoch  1, Batch    377, Loss  0.637100, Average Loss  0.645913, Time  0.221712
2021-09-21 17:35:15.249926 : Epoch  1, Batch    378, Loss  0.642642, Average Loss  0.645848, Time  0.221410
2021-09-21 17:35:16.705408 : Epoch  1, Batch    379, Loss  0.652871, Average Loss  0.645881, Time  0.221014
2021-09-21 17:35:18.163253 : Epoch  1, Batch    380, Loss  0.638154, Average Loss  0.645828, Time  0.221769
2021-09-21 17:35:19.633854 : Epoch  1, Batch    381, Loss  0.632509, Average Loss  0.645794, Time  0.223052
2021-09-21 17:35:21.088982 : Epoch  1, Batch    382, Loss  0.645904, Average Loss  0.645752, Time  0.221582
2021-09-21 17:35:22.549849 : Epoch  1, Batch    383, Loss  0.640485, Average Loss  0.645780, Time  0.221019
2021-09-21 17:35:24.012060 : Epoch  1, Batch    384, Loss  0.637754, Average Loss  0.645692, Time  0.221442
2021-09-21 17:35:25.588981 : Epoch  1, Batch    385, Loss  0.641257, Average Loss  0.645645, Time  0.221124
2021-09-21 17:35:27.044064 : Epoch  1, Batch    386, Loss  0.642209, Average Loss  0.645607, Time  0.221295
2021-09-21 17:35:28.502190 : Epoch  1, Batch    387, Loss  0.641493, Average Loss  0.645574, Time  0.221063
2021-09-21 17:35:29.957051 : Epoch  1, Batch    388, Loss  0.637643, Average Loss  0.645502, Time  0.221421
2021-09-21 17:35:31.417934 : Epoch  1, Batch    389, Loss  0.641991, Average Loss  0.645465, Time  0.221135
2021-09-21 17:35:32.872920 : Epoch  1, Batch    390, Loss  0.642791, Average Loss  0.645481, Time  0.221285
2021-09-21 17:35:34.324946 : Epoch  1, Batch    391, Loss  0.650012, Average Loss  0.645462, Time  0.221200
2021-09-21 17:35:35.776084 : Epoch  1, Batch    392, Loss  0.646765, Average Loss  0.645509, Time  0.221379
2021-09-21 17:35:37.235066 : Epoch  1, Batch    393, Loss  0.643446, Average Loss  0.645424, Time  0.221095
2021-09-21 17:35:38.682772 : Epoch  1, Batch    394, Loss  0.646611, Average Loss  0.645420, Time  0.221169
2021-09-21 17:35:40.132721 : Epoch  1, Batch    395, Loss  0.630919, Average Loss  0.645276, Time  0.221207
2021-09-21 17:35:41.583477 : Epoch  1, Batch    396, Loss  0.648235, Average Loss  0.645285, Time  0.221218
2021-09-21 17:35:43.047157 : Epoch  1, Batch    397, Loss  0.644982, Average Loss  0.645259, Time  0.221427
2021-09-21 17:35:44.497807 : Epoch  1, Batch    398, Loss  0.645784, Average Loss  0.645245, Time  0.221535
2021-09-21 17:35:45.967690 : Epoch  1, Batch    399, Loss  0.643586, Average Loss  0.645275, Time  0.221183
2021-09-21 17:35:47.426587 : Epoch  1, Batch    400, Loss  0.648069, Average Loss  0.645296, Time  0.221463
2021-09-21 17:36:42.331680 : CheckPoint: Validation Loss  0.00027081, Best Loss  0.00026744
2021-09-21 17:36:43.833743 : Epoch  1, Batch    401, Loss  0.636164, Average Loss  0.645235, Time  0.252349
2021-09-21 17:36:45.305987 : Epoch  1, Batch    402, Loss  0.641962, Average Loss  0.645193, Time  0.225520
2021-09-21 17:36:46.779011 : Epoch  1, Batch    403, Loss  0.646885, Average Loss  0.645197, Time  0.221221
2021-09-21 17:36:48.244943 : Epoch  1, Batch    404, Loss  0.645316, Average Loss  0.645162, Time  0.221638
2021-09-21 17:36:49.722714 : Epoch  1, Batch    405, Loss  0.640541, Average Loss  0.645074, Time  0.221058
2021-09-21 17:36:51.226113 : Epoch  1, Batch    406, Loss  0.643063, Average Loss  0.645007, Time  0.221354
2021-09-21 17:36:52.697273 : Epoch  1, Batch    407, Loss  0.644227, Average Loss  0.644987, Time  0.221384
2021-09-21 17:36:54.160044 : Epoch  1, Batch    408, Loss  0.654521, Average Loss  0.644991, Time  0.221657
2021-09-21 17:36:55.623704 : Epoch  1, Batch    409, Loss  0.645541, Average Loss  0.644971, Time  0.221274
2021-09-21 17:36:57.089102 : Epoch  1, Batch    410, Loss  0.636649, Average Loss  0.644933, Time  0.221683
2021-09-21 17:36:58.554959 : Epoch  1, Batch    411, Loss  0.636748, Average Loss  0.644933, Time  0.221993
2021-09-21 17:37:00.026750 : Epoch  1, Batch    412, Loss  0.646081, Average Loss  0.644948, Time  0.221332
2021-09-21 17:37:01.497043 : Epoch  1, Batch    413, Loss  0.642383, Average Loss  0.644946, Time  0.221953
2021-09-21 17:37:02.957865 : Epoch  1, Batch    414, Loss  0.639006, Average Loss  0.644892, Time  0.221739
2021-09-21 17:37:04.423873 : Epoch  1, Batch    415, Loss  0.649395, Average Loss  0.644908, Time  0.221486
2021-09-21 17:37:05.887212 : Epoch  1, Batch    416, Loss  0.639524, Average Loss  0.644867, Time  0.221376
2021-09-21 17:37:07.344241 : Epoch  1, Batch    417, Loss  0.641852, Average Loss  0.644797, Time  0.221270
2021-09-21 17:37:08.806203 : Epoch  1, Batch    418, Loss  0.636270, Average Loss  0.644749, Time  0.221120
2021-09-21 17:37:10.265963 : Epoch  1, Batch    419, Loss  0.652491, Average Loss  0.644781, Time  0.221143
2021-09-21 17:37:11.737988 : Epoch  1, Batch    420, Loss  0.646370, Average Loss  0.644783, Time  0.221367
2021-09-21 17:37:13.200000 : Epoch  1, Batch    421, Loss  0.650612, Average Loss  0.644755, Time  0.221056
2021-09-21 17:37:14.660288 : Epoch  1, Batch    422, Loss  0.651687, Average Loss  0.644815, Time  0.222324
2021-09-21 17:37:16.116912 : Epoch  1, Batch    423, Loss  0.651042, Average Loss  0.644819, Time  0.221324
2021-09-21 17:37:17.573961 : Epoch  1, Batch    424, Loss  0.636495, Average Loss  0.644722, Time  0.221230
2021-09-21 17:37:19.034193 : Epoch  1, Batch    425, Loss  0.642673, Average Loss  0.644746, Time  0.221295
2021-09-21 17:37:20.488897 : Epoch  1, Batch    426, Loss  0.644828, Average Loss  0.644759, Time  0.221612
2021-09-21 17:37:21.942178 : Epoch  1, Batch    427, Loss  0.652073, Average Loss  0.644791, Time  0.220952
2021-09-21 17:37:23.400925 : Epoch  1, Batch    428, Loss  0.646389, Average Loss  0.644804, Time  0.221332
2021-09-21 17:37:24.850572 : Epoch  1, Batch    429, Loss  0.655818, Average Loss  0.644890, Time  0.222445
2021-09-21 17:37:26.309221 : Epoch  1, Batch    430, Loss  0.643977, Average Loss  0.644885, Time  0.221713
2021-09-21 17:37:27.771922 : Epoch  1, Batch    431, Loss  0.653939, Average Loss  0.644954, Time  0.221374
2021-09-21 17:37:29.232934 : Epoch  1, Batch    432, Loss  0.628945, Average Loss  0.644853, Time  0.221179
2021-09-21 17:37:30.692939 : Epoch  1, Batch    433, Loss  0.640577, Average Loss  0.644805, Time  0.221472
2021-09-21 17:37:32.175043 : Epoch  1, Batch    434, Loss  0.637116, Average Loss  0.644714, Time  0.221886
2021-09-21 17:37:33.632773 : Epoch  1, Batch    435, Loss  0.643629, Average Loss  0.644686, Time  0.221265
2021-09-21 17:37:35.088326 : Epoch  1, Batch    436, Loss  0.653154, Average Loss  0.644713, Time  0.221389
2021-09-21 17:37:36.551025 : Epoch  1, Batch    437, Loss  0.632449, Average Loss  0.644672, Time  0.221557
2021-09-21 17:37:38.008201 : Epoch  1, Batch    438, Loss  0.649193, Average Loss  0.644658, Time  0.221808
2021-09-21 17:37:39.477993 : Epoch  1, Batch    439, Loss  0.641859, Average Loss  0.644618, Time  0.221373
2021-09-21 17:37:40.937162 : Epoch  1, Batch    440, Loss  0.634114, Average Loss  0.644570, Time  0.221850
2021-09-21 17:37:42.407033 : Epoch  1, Batch    441, Loss  0.644944, Average Loss  0.644591, Time  0.221486
2021-09-21 17:37:43.864454 : Epoch  1, Batch    442, Loss  0.647640, Average Loss  0.644567, Time  0.221041
2021-09-21 17:37:45.323989 : Epoch  1, Batch    443, Loss  0.646112, Average Loss  0.644523, Time  0.221248
2021-09-21 17:37:46.777216 : Epoch  1, Batch    444, Loss  0.629640, Average Loss  0.644425, Time  0.221120
2021-09-21 17:37:48.243006 : Epoch  1, Batch    445, Loss  0.644558, Average Loss  0.644413, Time  0.222034
2021-09-21 17:37:49.708208 : Epoch  1, Batch    446, Loss  0.640686, Average Loss  0.644379, Time  0.221072
2021-09-21 17:37:51.180126 : Epoch  1, Batch    447, Loss  0.645708, Average Loss  0.644358, Time  0.221688
2021-09-21 17:37:52.659922 : Epoch  1, Batch    448, Loss  0.645235, Average Loss  0.644337, Time  0.222331
2021-09-21 17:37:54.113044 : Epoch  1, Batch    449, Loss  0.642527, Average Loss  0.644271, Time  0.221465
2021-09-21 17:37:55.575814 : Epoch  1, Batch    450, Loss  0.650707, Average Loss  0.644288, Time  0.221644
2021-09-21 17:37:57.035497 : Epoch  1, Batch    451, Loss  0.645769, Average Loss  0.644320, Time  0.221987
2021-09-21 17:37:58.523793 : Epoch  1, Batch    452, Loss  0.635937, Average Loss  0.644257, Time  0.221387
2021-09-21 17:38:00.012249 : Epoch  1, Batch    453, Loss  0.639117, Average Loss  0.644199, Time  0.222323
2021-09-21 17:38:01.474085 : Epoch  1, Batch    454, Loss  0.647758, Average Loss  0.644207, Time  0.221486
2021-09-21 17:38:02.950190 : Epoch  1, Batch    455, Loss  0.642122, Average Loss  0.644169, Time  0.221208
2021-09-21 17:38:04.406844 : Epoch  1, Batch    456, Loss  0.647805, Average Loss  0.644170, Time  0.221272
2021-09-21 17:38:05.891269 : Epoch  1, Batch    457, Loss  0.645453, Average Loss  0.644160, Time  0.221517
2021-09-21 17:38:07.348726 : Epoch  1, Batch    458, Loss  0.643667, Average Loss  0.644139, Time  0.221460
2021-09-21 17:38:08.808950 : Epoch  1, Batch    459, Loss  0.643412, Average Loss  0.644099, Time  0.221312
2021-09-21 17:38:10.261952 : Epoch  1, Batch    460, Loss  0.640672, Average Loss  0.644043, Time  0.221368
2021-09-21 17:38:11.717493 : Epoch  1, Batch    461, Loss  0.640761, Average Loss  0.644065, Time  0.221511
2021-09-21 17:38:13.170935 : Epoch  1, Batch    462, Loss  0.644451, Average Loss  0.644047, Time  0.221651
2021-09-21 17:38:14.629931 : Epoch  1, Batch    463, Loss  0.643245, Average Loss  0.643989, Time  0.221026
2021-09-21 17:38:16.091015 : Epoch  1, Batch    464, Loss  0.636071, Average Loss  0.644109, Time  0.221695
2021-09-21 17:38:17.571169 : Epoch  1, Batch    465, Loss  0.643786, Average Loss  0.644100, Time  0.222128
2021-09-21 17:38:19.053020 : Epoch  1, Batch    466, Loss  0.641282, Average Loss  0.644024, Time  0.221642
2021-09-21 17:38:20.513733 : Epoch  1, Batch    467, Loss  0.640198, Average Loss  0.643888, Time  0.221256
2021-09-21 17:38:21.988941 : Epoch  1, Batch    468, Loss  0.645981, Average Loss  0.643916, Time  0.221763
2021-09-21 17:38:23.455777 : Epoch  1, Batch    469, Loss  0.641324, Average Loss  0.643928, Time  0.221635
2021-09-21 17:38:24.913864 : Epoch  1, Batch    470, Loss  0.635570, Average Loss  0.643839, Time  0.221228
2021-09-21 17:38:28.722766 : Epoch  1, Batch    471, Loss  0.638245, Average Loss  0.643807, Time  0.253166
2021-09-21 17:38:30.188881 : Epoch  1, Batch    472, Loss  0.634844, Average Loss  0.643743, Time  0.226516
2021-09-21 17:38:31.644687 : Epoch  1, Batch    473, Loss  0.640956, Average Loss  0.643731, Time  0.221024
2021-09-21 17:38:33.112182 : Epoch  1, Batch    474, Loss  0.634142, Average Loss  0.643657, Time  0.221056
2021-09-21 17:38:34.566746 : Epoch  1, Batch    475, Loss  0.647932, Average Loss  0.643664, Time  0.221153
2021-09-21 17:38:36.025854 : Epoch  1, Batch    476, Loss  0.646141, Average Loss  0.643644, Time  0.221388
2021-09-21 17:38:37.479813 : Epoch  1, Batch    477, Loss  0.646178, Average Loss  0.643637, Time  0.221262
2021-09-21 17:38:38.935860 : Epoch  1, Batch    478, Loss  0.647979, Average Loss  0.643669, Time  0.221457
2021-09-21 17:38:40.409190 : Epoch  1, Batch    479, Loss  0.642557, Average Loss  0.643654, Time  0.221350
2021-09-21 17:38:41.862183 : Epoch  1, Batch    480, Loss  0.648575, Average Loss  0.643674, Time  0.221363
2021-09-21 17:38:43.330954 : Epoch  1, Batch    481, Loss  0.638826, Average Loss  0.643671, Time  0.221340
2021-09-21 17:38:44.781323 : Epoch  1, Batch    482, Loss  0.643827, Average Loss  0.643627, Time  0.221558
2021-09-21 17:38:46.251937 : Epoch  1, Batch    483, Loss  0.641940, Average Loss  0.643603, Time  0.221503
2021-09-21 17:38:47.725986 : Epoch  1, Batch    484, Loss  0.645608, Average Loss  0.643576, Time  0.222168
2021-09-21 17:38:49.180727 : Epoch  1, Batch    485, Loss  0.633890, Average Loss  0.643551, Time  0.221176
2021-09-21 17:38:50.639924 : Epoch  1, Batch    486, Loss  0.645717, Average Loss  0.643595, Time  0.221125
2021-09-21 17:38:52.096984 : Epoch  1, Batch    487, Loss  0.647195, Average Loss  0.643602, Time  0.221947
2021-09-21 17:38:53.557510 : Epoch  1, Batch    488, Loss  0.644072, Average Loss  0.643598, Time  0.221643
2021-09-21 17:38:55.014340 : Epoch  1, Batch    489, Loss  0.640296, Average Loss  0.643571, Time  0.224120
2021-09-21 17:38:56.475149 : Epoch  1, Batch    490, Loss  0.650252, Average Loss  0.643617, Time  0.221157
2021-09-21 17:38:57.932341 : Epoch  1, Batch    491, Loss  0.654046, Average Loss  0.643680, Time  0.221622
2021-09-21 17:38:59.388186 : Epoch  1, Batch    492, Loss  0.645039, Average Loss  0.643671, Time  0.221309
2021-09-21 17:39:00.849996 : Epoch  1, Batch    493, Loss  0.646870, Average Loss  0.643681, Time  0.221540
2021-09-21 17:39:02.317928 : Epoch  1, Batch    494, Loss  0.641229, Average Loss  0.643669, Time  0.221320
2021-09-21 17:39:03.772060 : Epoch  1, Batch    495, Loss  0.644361, Average Loss  0.643629, Time  0.221328
2021-09-21 17:39:05.223144 : Epoch  1, Batch    496, Loss  0.652023, Average Loss  0.643687, Time  0.223026
2021-09-21 17:39:06.674786 : Epoch  1, Batch    497, Loss  0.643113, Average Loss  0.643677, Time  0.221121
2021-09-21 17:39:08.156633 : Epoch  1, Batch    498, Loss  0.643237, Average Loss  0.643647, Time  0.221534
2021-09-21 17:39:09.613382 : Epoch  1, Batch    499, Loss  0.641348, Average Loss  0.643629, Time  0.221243
2021-09-21 17:39:11.067415 : Epoch  1, Batch    500, Loss  0.650660, Average Loss  0.643668, Time  0.221095
2021-09-21 17:40:05.956685 : CheckPoint: Validation Loss  0.00027129, Best Loss  0.00026744
2021-09-21 17:40:07.424925 : Epoch  1, Batch    501, Loss  0.638452, Average Loss  0.643594, Time  0.221704
2021-09-21 17:40:08.887100 : Epoch  1, Batch    502, Loss  0.643960, Average Loss  0.643628, Time  0.221259
2021-09-21 17:40:10.359040 : Epoch  1, Batch    503, Loss  0.640858, Average Loss  0.643592, Time  0.221313
2021-09-21 17:40:11.828693 : Epoch  1, Batch    504, Loss  0.642587, Average Loss  0.643545, Time  0.221131
2021-09-21 17:40:13.296327 : Epoch  1, Batch    505, Loss  0.636667, Average Loss  0.643447, Time  0.221310
2021-09-21 17:40:14.768205 : Epoch  1, Batch    506, Loss  0.644550, Average Loss  0.643472, Time  0.221581
2021-09-21 17:40:16.230989 : Epoch  1, Batch    507, Loss  0.644077, Average Loss  0.643461, Time  0.221077
2021-09-21 17:40:17.693015 : Epoch  1, Batch    508, Loss  0.643140, Average Loss  0.643436, Time  0.221443
2021-09-21 17:40:19.158025 : Epoch  1, Batch    509, Loss  0.648936, Average Loss  0.643424, Time  0.221215
2021-09-21 17:40:20.617705 : Epoch  1, Batch    510, Loss  0.643910, Average Loss  0.643448, Time  0.221137
2021-09-21 17:40:22.083040 : Epoch  1, Batch    511, Loss  0.651370, Average Loss  0.643526, Time  0.221028
2021-09-21 17:40:23.554853 : Epoch  1, Batch    512, Loss  0.633798, Average Loss  0.643515, Time  0.221541
2021-09-21 17:40:25.011110 : Epoch  1, Batch    513, Loss  0.640326, Average Loss  0.643504, Time  0.220827
2021-09-21 17:40:26.475725 : Epoch  1, Batch    514, Loss  0.632259, Average Loss  0.643424, Time  0.221582
2021-09-21 17:40:27.935317 : Epoch  1, Batch    515, Loss  0.636390, Average Loss  0.643375, Time  0.220949
2021-09-21 17:40:29.389715 : Epoch  1, Batch    516, Loss  0.644995, Average Loss  0.643399, Time  0.221213
2021-09-21 17:40:30.856672 : Epoch  1, Batch    517, Loss  0.635614, Average Loss  0.643384, Time  0.221464
2021-09-21 17:40:32.315805 : Epoch  1, Batch    518, Loss  0.652179, Average Loss  0.643368, Time  0.221302
2021-09-21 17:40:33.790185 : Epoch  1, Batch    519, Loss  0.651498, Average Loss  0.643416, Time  0.221306
2021-09-21 17:40:35.260162 : Epoch  1, Batch    520, Loss  0.638567, Average Loss  0.643361, Time  0.221900
2021-09-21 17:40:36.731812 : Epoch  1, Batch    521, Loss  0.643479, Average Loss  0.643362, Time  0.222288
2021-09-21 17:40:38.193960 : Epoch  1, Batch    522, Loss  0.638236, Average Loss  0.643347, Time  0.221902
2021-09-21 17:40:39.659739 : Epoch  1, Batch    523, Loss  0.636898, Average Loss  0.643284, Time  0.221764
2021-09-21 17:40:41.119245 : Epoch  1, Batch    524, Loss  0.643097, Average Loss  0.643302, Time  0.221646
2021-09-21 17:40:42.596122 : Epoch  1, Batch    525, Loss  0.644655, Average Loss  0.643350, Time  0.221095
2021-09-21 17:40:44.049896 : Epoch  1, Batch    526, Loss  0.646810, Average Loss  0.643374, Time  0.222031
2021-09-21 17:40:45.508932 : Epoch  1, Batch    527, Loss  0.634017, Average Loss  0.643300, Time  0.221078
2021-09-21 17:40:46.971894 : Epoch  1, Batch    528, Loss  0.645630, Average Loss  0.643270, Time  0.221153
2021-09-21 17:40:48.425232 : Epoch  1, Batch    529, Loss  0.645938, Average Loss  0.643278, Time  0.221192
2021-09-21 17:40:49.879909 : Epoch  1, Batch    530, Loss  0.646671, Average Loss  0.643282, Time  0.221422
2021-09-21 17:40:51.345921 : Epoch  1, Batch    531, Loss  0.629834, Average Loss  0.643174, Time  0.220916
2021-09-21 17:40:52.800121 : Epoch  1, Batch    532, Loss  0.646085, Average Loss  0.643176, Time  0.221175
2021-09-21 17:40:54.258780 : Epoch  1, Batch    533, Loss  0.640960, Average Loss  0.643155, Time  0.221189
2021-09-21 17:40:55.698889 : Epoch  1, Batch    534, Loss  0.634883, Average Loss  0.643126, Time  0.221379
2021-09-21 17:40:57.150949 : Epoch  1, Batch    535, Loss  0.641410, Average Loss  0.643114, Time  0.221062
2021-09-21 17:40:58.593891 : Epoch  1, Batch    536, Loss  0.638189, Average Loss  0.643071, Time  0.221473
2021-09-21 17:41:00.040688 : Epoch  1, Batch    537, Loss  0.641827, Average Loss  0.643044, Time  0.221412
2021-09-21 17:41:01.477330 : Epoch  1, Batch    538, Loss  0.639234, Average Loss  0.643036, Time  0.221526
2021-09-21 17:41:02.958919 : Epoch  1, Batch    539, Loss  0.653911, Average Loss  0.643082, Time  0.221355
2021-09-21 17:41:04.428863 : Epoch  1, Batch    540, Loss  0.647550, Average Loss  0.643107, Time  0.221647
2021-09-21 17:41:05.878737 : Epoch  1, Batch    541, Loss  0.641247, Average Loss  0.643092, Time  0.221381
2021-09-21 17:41:07.333687 : Epoch  1, Batch    542, Loss  0.633766, Average Loss  0.643014, Time  0.221337
2021-09-21 17:41:08.797856 : Epoch  1, Batch    543, Loss  0.639978, Average Loss  0.642965, Time  0.221230
2021-09-21 17:41:10.240155 : Epoch  1, Batch    544, Loss  0.637453, Average Loss  0.642913, Time  0.221332
2021-09-21 17:41:11.684887 : Epoch  1, Batch    545, Loss  0.641935, Average Loss  0.642936, Time  0.221255
2021-09-21 17:41:13.132715 : Epoch  1, Batch    546, Loss  0.651239, Average Loss  0.642950, Time  0.221176
2021-09-21 17:41:14.588713 : Epoch  1, Batch    547, Loss  0.635333, Average Loss  0.642960, Time  0.221241
2021-09-21 17:41:16.038966 : Epoch  1, Batch    548, Loss  0.650475, Average Loss  0.643042, Time  0.221677
2021-09-21 17:41:17.492214 : Epoch  1, Batch    549, Loss  0.629504, Average Loss  0.643015, Time  0.221304
2021-09-21 17:41:18.931929 : Epoch  1, Batch    550, Loss  0.643860, Average Loss  0.642993, Time  0.221085
2021-09-21 17:41:20.380953 : Epoch  1, Batch    551, Loss  0.635133, Average Loss  0.642987, Time  0.221600
2021-09-21 17:41:21.840965 : Epoch  1, Batch    552, Loss  0.642565, Average Loss  0.643032, Time  0.221592
2021-09-21 17:41:23.296796 : Epoch  1, Batch    553, Loss  0.634157, Average Loss  0.642950, Time  0.221107
2021-09-21 17:41:24.750116 : Epoch  1, Batch    554, Loss  0.637607, Average Loss  0.642909, Time  0.221147
2021-09-21 17:41:26.217052 : Epoch  1, Batch    555, Loss  0.638988, Average Loss  0.642861, Time  0.221279
2021-09-21 17:41:27.666120 : Epoch  1, Batch    556, Loss  0.631060, Average Loss  0.642743, Time  0.221167
2021-09-21 17:41:29.107674 : Epoch  1, Batch    557, Loss  0.646613, Average Loss  0.642750, Time  0.220913
2021-09-21 17:41:30.562740 : Epoch  1, Batch    558, Loss  0.634375, Average Loss  0.642690, Time  0.222262
2021-09-21 17:41:32.010938 : Epoch  1, Batch    559, Loss  0.640766, Average Loss  0.642696, Time  0.221050
2021-09-21 17:41:33.490023 : Epoch  1, Batch    560, Loss  0.638904, Average Loss  0.642677, Time  0.221967
2021-09-21 17:41:34.938381 : Epoch  1, Batch    561, Loss  0.641200, Average Loss  0.642684, Time  0.221863
2021-09-21 17:41:36.384120 : Epoch  1, Batch    562, Loss  0.650127, Average Loss  0.642733, Time  0.221352
2021-09-21 17:41:37.829780 : Epoch  1, Batch    563, Loss  0.645833, Average Loss  0.642729, Time  0.221646
2021-09-21 17:41:39.285933 : Epoch  1, Batch    564, Loss  0.636478, Average Loss  0.642693, Time  0.221490
2021-09-21 17:41:40.727954 : Epoch  1, Batch    565, Loss  0.646605, Average Loss  0.642700, Time  0.221072
2021-09-21 17:41:42.174154 : Epoch  1, Batch    566, Loss  0.644416, Average Loss  0.642748, Time  0.221493
2021-09-21 17:41:43.621897 : Epoch  1, Batch    567, Loss  0.630735, Average Loss  0.642725, Time  0.221726
2021-09-21 17:41:45.076921 : Epoch  1, Batch    568, Loss  0.635236, Average Loss  0.642663, Time  0.222614
2021-09-21 17:41:46.521907 : Epoch  1, Batch    569, Loss  0.641397, Average Loss  0.642612, Time  0.221913
2021-09-21 17:41:47.979130 : Epoch  1, Batch    570, Loss  0.646235, Average Loss  0.642594, Time  0.221489
2021-09-21 17:41:51.719968 : Epoch  1, Batch    571, Loss  0.643437, Average Loss  0.642642, Time  0.256374
2021-09-21 17:41:53.202177 : Epoch  1, Batch    572, Loss  0.645765, Average Loss  0.642623, Time  0.241616
2021-09-21 17:41:54.648696 : Epoch  1, Batch    573, Loss  0.648253, Average Loss  0.642648, Time  0.227713
2021-09-21 17:41:56.092123 : Epoch  1, Batch    574, Loss  0.639040, Average Loss  0.642576, Time  0.221298
2021-09-21 17:41:57.537717 : Epoch  1, Batch    575, Loss  0.647148, Average Loss  0.642615, Time  0.222364
2021-09-21 17:41:58.985973 : Epoch  1, Batch    576, Loss  0.645658, Average Loss  0.642690, Time  0.221241
2021-09-21 17:42:00.430781 : Epoch  1, Batch    577, Loss  0.651198, Average Loss  0.642760, Time  0.221140
2021-09-21 17:42:01.874726 : Epoch  1, Batch    578, Loss  0.647151, Average Loss  0.642783, Time  0.221177
2021-09-21 17:42:03.335007 : Epoch  1, Batch    579, Loss  0.636196, Average Loss  0.642700, Time  0.221184
2021-09-21 17:42:04.785884 : Epoch  1, Batch    580, Loss  0.644908, Average Loss  0.642733, Time  0.221741
2021-09-21 17:42:06.239804 : Epoch  1, Batch    581, Loss  0.632551, Average Loss  0.642733, Time  0.220937
2021-09-21 17:42:07.691769 : Epoch  1, Batch    582, Loss  0.651633, Average Loss  0.642762, Time  0.221309
2021-09-21 17:42:09.154727 : Epoch  1, Batch    583, Loss  0.644522, Average Loss  0.642782, Time  0.222071
2021-09-21 17:42:10.603899 : Epoch  1, Batch    584, Loss  0.637205, Average Loss  0.642780, Time  0.221316
2021-09-21 17:42:12.056413 : Epoch  1, Batch    585, Loss  0.652853, Average Loss  0.642838, Time  0.221256
2021-09-21 17:42:13.507097 : Epoch  1, Batch    586, Loss  0.648878, Average Loss  0.642871, Time  0.221276
2021-09-21 17:42:14.957702 : Epoch  1, Batch    587, Loss  0.640850, Average Loss  0.642868, Time  0.220936
2021-09-21 17:42:16.420950 : Epoch  1, Batch    588, Loss  0.647796, Average Loss  0.642918, Time  0.221948
2021-09-21 17:42:17.886122 : Epoch  1, Batch    589, Loss  0.641447, Average Loss  0.642916, Time  0.221950
2021-09-21 17:42:19.357817 : Epoch  1, Batch    590, Loss  0.645715, Average Loss  0.642930, Time  0.222208
2021-09-21 17:42:20.819923 : Epoch  1, Batch    591, Loss  0.641320, Average Loss  0.642887, Time  0.221053
2021-09-21 17:42:22.262918 : Epoch  1, Batch    592, Loss  0.640986, Average Loss  0.642858, Time  0.221091
2021-09-21 17:42:23.705913 : Epoch  1, Batch    593, Loss  0.644190, Average Loss  0.642862, Time  0.221166
2021-09-21 17:42:25.162983 : Epoch  1, Batch    594, Loss  0.646569, Average Loss  0.642861, Time  0.222131
2021-09-21 17:42:26.622109 : Epoch  1, Batch    595, Loss  0.637232, Average Loss  0.642893, Time  0.220906
2021-09-21 17:42:28.083922 : Epoch  1, Batch    596, Loss  0.654820, Average Loss  0.642926, Time  0.221683
2021-09-21 17:42:29.551767 : Epoch  1, Batch    597, Loss  0.644301, Average Loss  0.642923, Time  0.221259
2021-09-21 17:42:31.012105 : Epoch  1, Batch    598, Loss  0.645020, Average Loss  0.642919, Time  0.221374
2021-09-21 17:42:32.475768 : Epoch  1, Batch    599, Loss  0.640029, Average Loss  0.642901, Time  0.221296
2021-09-21 17:42:33.952124 : Epoch  1, Batch    600, Loss  0.641853, Average Loss  0.642870, Time  0.221159
2021-09-21 17:43:29.071689 : CheckPoint: Validation Loss  0.00026284, Best Loss  0.00026284
2021-09-21 17:43:29.105278 : Best Model Updated
2021-09-21 17:43:31.214011 : Epoch  1, Batch    601, Loss  0.642352, Average Loss  0.642901, Time  0.253244
2021-09-21 17:43:32.688844 : Epoch  1, Batch    602, Loss  0.635605, Average Loss  0.642869, Time  0.226095
2021-09-21 17:43:34.161744 : Epoch  1, Batch    603, Loss  0.637439, Average Loss  0.642822, Time  0.221221
2021-09-21 17:43:35.623178 : Epoch  1, Batch    604, Loss  0.649970, Average Loss  0.642845, Time  0.222205
2021-09-21 17:43:37.092749 : Epoch  1, Batch    605, Loss  0.643489, Average Loss  0.642860, Time  0.221479
2021-09-21 17:43:38.559808 : Epoch  1, Batch    606, Loss  0.642173, Average Loss  0.642855, Time  0.221540
2021-09-21 17:43:40.027910 : Epoch  1, Batch    607, Loss  0.640046, Average Loss  0.642834, Time  0.221142
2021-09-21 17:43:41.486281 : Epoch  1, Batch    608, Loss  0.635023, Average Loss  0.642737, Time  0.221122
2021-09-21 17:43:42.947921 : Epoch  1, Batch    609, Loss  0.641041, Average Loss  0.642714, Time  0.221342
2021-09-21 17:43:44.413766 : Epoch  1, Batch    610, Loss  0.633735, Average Loss  0.642700, Time  0.221375
2021-09-21 17:43:45.886722 : Epoch  1, Batch    611, Loss  0.649910, Average Loss  0.642766, Time  0.221584
2021-09-21 17:43:47.352356 : Epoch  1, Batch    612, Loss  0.630265, Average Loss  0.642687, Time  0.221359
2021-09-21 17:43:48.806241 : Epoch  1, Batch    613, Loss  0.636643, Average Loss  0.642658, Time  0.220826
2021-09-21 17:43:50.260125 : Epoch  1, Batch    614, Loss  0.652771, Average Loss  0.642727, Time  0.221224
2021-09-21 17:43:51.719947 : Epoch  1, Batch    615, Loss  0.635110, Average Loss  0.642655, Time  0.221167
2021-09-21 17:43:53.184769 : Epoch  1, Batch    616, Loss  0.642960, Average Loss  0.642673, Time  0.221236
2021-09-21 17:43:54.747104 : Epoch  1, Batch    617, Loss  0.644383, Average Loss  0.642685, Time  0.249462
2021-09-21 17:43:56.231990 : Epoch  1, Batch    618, Loss  0.641603, Average Loss  0.642712, Time  0.223579
2021-09-21 17:43:57.708946 : Epoch  1, Batch    619, Loss  0.640322, Average Loss  0.642651, Time  0.221613
2021-09-21 17:43:59.193102 : Epoch  1, Batch    620, Loss  0.646356, Average Loss  0.642651, Time  0.223036
2021-09-21 17:44:00.669731 : Epoch  1, Batch    621, Loss  0.638490, Average Loss  0.642590, Time  0.222004
2021-09-21 17:44:02.133889 : Epoch  1, Batch    622, Loss  0.639098, Average Loss  0.642527, Time  0.221617
2021-09-21 17:44:03.611755 : Epoch  1, Batch    623, Loss  0.632396, Average Loss  0.642434, Time  0.221664
2021-09-21 17:44:05.102180 : Epoch  1, Batch    624, Loss  0.642277, Average Loss  0.642463, Time  0.222172
2021-09-21 17:44:06.563959 : Epoch  1, Batch    625, Loss  0.642618, Average Loss  0.642463, Time  0.221776
2021-09-21 17:44:08.025120 : Epoch  1, Batch    626, Loss  0.646281, Average Loss  0.642470, Time  0.221083
2021-09-21 17:44:09.484968 : Epoch  1, Batch    627, Loss  0.638700, Average Loss  0.642403, Time  0.221384
2021-09-21 17:44:10.948605 : Epoch  1, Batch    628, Loss  0.640330, Average Loss  0.642373, Time  0.223975
2021-09-21 17:44:12.412194 : Epoch  1, Batch    629, Loss  0.638425, Average Loss  0.642286, Time  0.221587
2021-09-21 17:44:13.872276 : Epoch  1, Batch    630, Loss  0.639111, Average Loss  0.642262, Time  0.222007
2021-09-21 17:44:15.340943 : Epoch  1, Batch    631, Loss  0.636987, Average Loss  0.642177, Time  0.222307
2021-09-21 17:44:16.805936 : Epoch  1, Batch    632, Loss  0.646450, Average Loss  0.642264, Time  0.222034
2021-09-21 17:44:18.272705 : Epoch  1, Batch    633, Loss  0.644484, Average Loss  0.642284, Time  0.221662
2021-09-21 17:44:19.732938 : Epoch  1, Batch    634, Loss  0.645990, Average Loss  0.642328, Time  0.221130
2021-09-21 17:44:21.193514 : Epoch  1, Batch    635, Loss  0.640806, Average Loss  0.642314, Time  0.221166
2021-09-21 17:44:22.652879 : Epoch  1, Batch    636, Loss  0.643831, Average Loss  0.642268, Time  0.221407
2021-09-21 17:44:24.123911 : Epoch  1, Batch    637, Loss  0.630458, Average Loss  0.642258, Time  0.221184
2021-09-21 17:44:25.603952 : Epoch  1, Batch    638, Loss  0.632449, Average Loss  0.642174, Time  0.221375
2021-09-21 17:44:27.077882 : Epoch  1, Batch    639, Loss  0.630696, Average Loss  0.642118, Time  0.221585
2021-09-21 17:44:28.538119 : Epoch  1, Batch    640, Loss  0.640753, Average Loss  0.642151, Time  0.221265
2021-09-21 17:44:30.009790 : Epoch  1, Batch    641, Loss  0.636207, Average Loss  0.642108, Time  0.221327
2021-09-21 17:44:31.477939 : Epoch  1, Batch    642, Loss  0.635703, Average Loss  0.642048, Time  0.221325
2021-09-21 17:44:32.943982 : Epoch  1, Batch    643, Loss  0.644258, Average Loss  0.642039, Time  0.221262
2021-09-21 17:44:34.440070 : Epoch  1, Batch    644, Loss  0.651452, Average Loss  0.642148, Time  0.221587
2021-09-21 17:44:35.921955 : Epoch  1, Batch    645, Loss  0.629618, Average Loss  0.642073, Time  0.221269
2021-09-21 17:44:37.392053 : Epoch  1, Batch    646, Loss  0.647739, Average Loss  0.642108, Time  0.221413
2021-09-21 17:44:38.862830 : Epoch  1, Batch    647, Loss  0.641727, Average Loss  0.642088, Time  0.221907
2021-09-21 17:44:40.338838 : Epoch  1, Batch    648, Loss  0.655117, Average Loss  0.642138, Time  0.221952
2021-09-21 17:44:41.808715 : Epoch  1, Batch    649, Loss  0.639111, Average Loss  0.642121, Time  0.221634
2021-09-21 17:44:43.277264 : Epoch  1, Batch    650, Loss  0.635105, Average Loss  0.642043, Time  0.222419
2021-09-21 17:44:44.739917 : Epoch  1, Batch    651, Loss  0.640995, Average Loss  0.642019, Time  0.221221
2021-09-21 17:44:46.203201 : Epoch  1, Batch    652, Loss  0.645563, Average Loss  0.642067, Time  0.221308
2021-09-21 17:44:47.668934 : Epoch  1, Batch    653, Loss  0.645270, Average Loss  0.642098, Time  0.221115
2021-09-21 17:44:49.132934 : Epoch  1, Batch    654, Loss  0.625277, Average Loss  0.641985, Time  0.221282
2021-09-21 17:44:50.586744 : Epoch  1, Batch    655, Loss  0.641543, Average Loss  0.641982, Time  0.221210
2021-09-21 17:44:52.054932 : Epoch  1, Batch    656, Loss  0.641846, Average Loss  0.641953, Time  0.221752
2021-09-21 17:44:53.516223 : Epoch  1, Batch    657, Loss  0.648817, Average Loss  0.641969, Time  0.222303
2021-09-21 17:44:54.982931 : Epoch  1, Batch    658, Loss  0.639959, Average Loss  0.641951, Time  0.221452
2021-09-21 17:44:56.440693 : Epoch  1, Batch    659, Loss  0.637046, Average Loss  0.641919, Time  0.221185
2021-09-21 17:44:57.897981 : Epoch  1, Batch    660, Loss  0.641952, Average Loss  0.641925, Time  0.221354
2021-09-21 17:44:59.356933 : Epoch  1, Batch    661, Loss  0.650235, Average Loss  0.641973, Time  0.221272
2021-09-21 17:45:00.817128 : Epoch  1, Batch    662, Loss  0.647196, Average Loss  0.641987, Time  0.221208
2021-09-21 17:45:02.281846 : Epoch  1, Batch    663, Loss  0.632010, Average Loss  0.641930, Time  0.221606
2021-09-21 17:45:03.747989 : Epoch  1, Batch    664, Loss  0.638293, Average Loss  0.641941, Time  0.222617
2021-09-21 17:45:05.225074 : Epoch  1, Batch    665, Loss  0.640533, Average Loss  0.641925, Time  0.221819
2021-09-21 17:45:06.699772 : Epoch  1, Batch    666, Loss  0.640553, Average Loss  0.641922, Time  0.221210
2021-09-21 17:45:08.175891 : Epoch  1, Batch    667, Loss  0.647415, Average Loss  0.641958, Time  0.221740
2021-09-21 17:45:09.641215 : Epoch  1, Batch    668, Loss  0.650903, Average Loss  0.641982, Time  0.221517
2021-09-21 17:45:11.106145 : Epoch  1, Batch    669, Loss  0.641201, Average Loss  0.641982, Time  0.221972
2021-09-21 17:45:12.569703 : Epoch  1, Batch    670, Loss  0.651451, Average Loss  0.642061, Time  0.221647
2021-09-21 17:45:16.412004 : Epoch  1, Batch    671, Loss  0.641193, Average Loss  0.642076, Time  0.235684
2021-09-21 17:45:17.882942 : Epoch  1, Batch    672, Loss  0.645050, Average Loss  0.642127, Time  0.224496
2021-09-21 17:45:19.356733 : Epoch  1, Batch    673, Loss  0.637794, Average Loss  0.642111, Time  0.222117
2021-09-21 17:45:20.832013 : Epoch  1, Batch    674, Loss  0.640848, Average Loss  0.642145, Time  0.221571
2021-09-21 17:45:22.293716 : Epoch  1, Batch    675, Loss  0.636563, Average Loss  0.642088, Time  0.221313
2021-09-21 17:45:23.748891 : Epoch  1, Batch    676, Loss  0.635383, Average Loss  0.642034, Time  0.222101
2021-09-21 17:45:25.205815 : Epoch  1, Batch    677, Loss  0.641929, Average Loss  0.642013, Time  0.220797
2021-09-21 17:45:26.666158 : Epoch  1, Batch    678, Loss  0.642026, Average Loss  0.641983, Time  0.222098
2021-09-21 17:45:28.119885 : Epoch  1, Batch    679, Loss  0.637471, Average Loss  0.641957, Time  0.220959
2021-09-21 17:45:29.574935 : Epoch  1, Batch    680, Loss  0.632145, Average Loss  0.641875, Time  0.221292
2021-09-21 17:45:31.033949 : Epoch  1, Batch    681, Loss  0.634302, Average Loss  0.641853, Time  0.221564
2021-09-21 17:45:32.490813 : Epoch  1, Batch    682, Loss  0.645650, Average Loss  0.641862, Time  0.221419
2021-09-21 17:45:33.951897 : Epoch  1, Batch    683, Loss  0.643292, Average Loss  0.641869, Time  0.221371
2021-09-21 17:45:35.424468 : Epoch  1, Batch    684, Loss  0.642971, Average Loss  0.641855, Time  0.221912
2021-09-21 17:45:36.882789 : Epoch  1, Batch    685, Loss  0.643816, Average Loss  0.641905, Time  0.221558
2021-09-21 17:45:38.342938 : Epoch  1, Batch    686, Loss  0.635893, Average Loss  0.641856, Time  0.221522
2021-09-21 17:45:39.805698 : Epoch  1, Batch    687, Loss  0.642040, Average Loss  0.641830, Time  0.221691
2021-09-21 17:45:41.265923 : Epoch  1, Batch    688, Loss  0.644336, Average Loss  0.641831, Time  0.221235
2021-09-21 17:45:42.724072 : Epoch  1, Batch    689, Loss  0.647252, Average Loss  0.641866, Time  0.221434
2021-09-21 17:45:44.178126 : Epoch  1, Batch    690, Loss  0.642756, Average Loss  0.641829, Time  0.221443
2021-09-21 17:45:45.638933 : Epoch  1, Batch    691, Loss  0.636117, Average Loss  0.641739, Time  0.221070
2021-09-21 17:45:47.089971 : Epoch  1, Batch    692, Loss  0.639363, Average Loss  0.641711, Time  0.221122
2021-09-21 17:45:48.543960 : Epoch  1, Batch    693, Loss  0.629585, Average Loss  0.641624, Time  0.221417
2021-09-21 17:45:49.996941 : Epoch  1, Batch    694, Loss  0.646429, Average Loss  0.641650, Time  0.220914
2021-09-21 17:45:51.457026 : Epoch  1, Batch    695, Loss  0.648330, Average Loss  0.641670, Time  0.221766
2021-09-21 17:45:52.912936 : Epoch  1, Batch    696, Loss  0.642730, Average Loss  0.641624, Time  0.221752
2021-09-21 17:45:54.367687 : Epoch  1, Batch    697, Loss  0.639105, Average Loss  0.641604, Time  0.221201
2021-09-21 17:45:55.832219 : Epoch  1, Batch    698, Loss  0.646108, Average Loss  0.641618, Time  0.221678
2021-09-21 17:45:57.294746 : Epoch  1, Batch    699, Loss  0.643317, Average Loss  0.641628, Time  0.221542
2021-09-21 17:45:58.753147 : Epoch  1, Batch    700, Loss  0.652174, Average Loss  0.641635, Time  0.221177
2021-09-21 17:46:53.646683 : CheckPoint: Validation Loss  0.00026384, Best Loss  0.00026284
2021-09-21 17:46:55.121012 : Epoch  1, Batch    701, Loss  0.647544, Average Loss  0.641681, Time  0.221593
2021-09-21 17:46:56.583007 : Epoch  1, Batch    702, Loss  0.635947, Average Loss  0.641641, Time  0.221451
2021-09-21 17:46:58.052699 : Epoch  1, Batch    703, Loss  0.645889, Average Loss  0.641666, Time  0.221115
2021-09-21 17:46:59.531949 : Epoch  1, Batch    704, Loss  0.653670, Average Loss  0.641721, Time  0.221369
2021-09-21 17:47:00.987947 : Epoch  1, Batch    705, Loss  0.642032, Average Loss  0.641748, Time  0.221110
2021-09-21 17:47:02.446137 : Epoch  1, Batch    706, Loss  0.640157, Average Loss  0.641726, Time  0.221546
2021-09-21 17:47:03.911756 : Epoch  1, Batch    707, Loss  0.643525, Average Loss  0.641723, Time  0.221122
2021-09-21 17:47:05.373976 : Epoch  1, Batch    708, Loss  0.638529, Average Loss  0.641700, Time  0.221359
2021-09-21 17:47:06.833761 : Epoch  1, Batch    709, Loss  0.649252, Average Loss  0.641702, Time  0.221107
2021-09-21 17:47:08.293792 : Epoch  1, Batch    710, Loss  0.645940, Average Loss  0.641712, Time  0.221217
2021-09-21 17:47:09.755030 : Epoch  1, Batch    711, Loss  0.641245, Average Loss  0.641661, Time  0.221201
2021-09-21 17:47:11.235252 : Epoch  1, Batch    712, Loss  0.640052, Average Loss  0.641693, Time  0.222018
2021-09-21 17:47:12.696274 : Epoch  1, Batch    713, Loss  0.638152, Average Loss  0.641682, Time  0.222094
2021-09-21 17:47:14.155174 : Epoch  1, Batch    714, Loss  0.638938, Average Loss  0.641715, Time  0.221211
2021-09-21 17:47:15.625819 : Epoch  1, Batch    715, Loss  0.643368, Average Loss  0.641750, Time  0.222451
2021-09-21 17:47:17.081006 : Epoch  1, Batch    716, Loss  0.644311, Average Loss  0.641747, Time  0.221419
2021-09-21 17:47:18.539189 : Epoch  1, Batch    717, Loss  0.645199, Average Loss  0.641795, Time  0.220951
2021-09-21 17:47:20.009930 : Epoch  1, Batch    718, Loss  0.640580, Average Loss  0.641737, Time  0.221610
2021-09-21 17:47:21.474780 : Epoch  1, Batch    719, Loss  0.637421, Average Loss  0.641666, Time  0.221391
2021-09-21 17:47:22.950982 : Epoch  1, Batch    720, Loss  0.639292, Average Loss  0.641670, Time  0.221436
2021-09-21 17:47:24.410035 : Epoch  1, Batch    721, Loss  0.646692, Average Loss  0.641686, Time  0.221201
2021-09-21 17:47:25.873468 : Epoch  1, Batch    722, Loss  0.644396, Average Loss  0.641717, Time  0.221407
2021-09-21 17:47:27.338184 : Epoch  1, Batch    723, Loss  0.635338, Average Loss  0.641709, Time  0.221541
2021-09-21 17:47:28.801023 : Epoch  1, Batch    724, Loss  0.638467, Average Loss  0.641686, Time  0.221590
2021-09-21 17:47:30.265014 : Epoch  1, Batch    725, Loss  0.637739, Average Loss  0.641651, Time  0.221670
2021-09-21 17:47:31.728724 : Epoch  1, Batch    726, Loss  0.634911, Average Loss  0.641592, Time  0.221248
2021-09-21 17:47:33.184768 : Epoch  1, Batch    727, Loss  0.635529, Average Loss  0.641599, Time  0.222476
2021-09-21 17:47:34.639919 : Epoch  1, Batch    728, Loss  0.650868, Average Loss  0.641626, Time  0.221343
2021-09-21 17:47:36.118738 : Epoch  1, Batch    729, Loss  0.638460, Average Loss  0.641588, Time  0.221437
2021-09-21 17:47:37.589948 : Epoch  1, Batch    730, Loss  0.639827, Average Loss  0.641554, Time  0.221667
2021-09-21 17:47:39.063993 : Epoch  1, Batch    731, Loss  0.639723, Average Loss  0.641603, Time  0.221595
2021-09-21 17:47:40.539961 : Epoch  1, Batch    732, Loss  0.643417, Average Loss  0.641590, Time  0.222150
2021-09-21 17:47:42.020728 : Epoch  1, Batch    733, Loss  0.643735, Average Loss  0.641604, Time  0.221397
2021-09-21 17:47:43.476258 : Epoch  1, Batch    734, Loss  0.639569, Average Loss  0.641627, Time  0.222611
2021-09-21 17:47:44.938711 : Epoch  1, Batch    735, Loss  0.632760, Average Loss  0.641584, Time  0.221457
2021-09-21 17:47:46.407193 : Epoch  1, Batch    736, Loss  0.639235, Average Loss  0.641589, Time  0.221190
2021-09-21 17:47:47.906736 : Epoch  1, Batch    737, Loss  0.639014, Average Loss  0.641575, Time  0.221066
2021-09-21 17:47:49.361937 : Epoch  1, Batch    738, Loss  0.639521, Average Loss  0.641577, Time  0.221287
2021-09-21 17:47:50.820085 : Epoch  1, Batch    739, Loss  0.644405, Average Loss  0.641529, Time  0.221166
2021-09-21 17:47:52.281083 : Epoch  1, Batch    740, Loss  0.642876, Average Loss  0.641506, Time  0.221256
2021-09-21 17:47:53.748938 : Epoch  1, Batch    741, Loss  0.647113, Average Loss  0.641535, Time  0.221156
2021-09-21 17:47:55.217982 : Epoch  1, Batch    742, Loss  0.636452, Average Loss  0.641549, Time  0.221153
2021-09-21 17:47:56.683746 : Epoch  1, Batch    743, Loss  0.641958, Average Loss  0.641558, Time  0.221487
2021-09-21 17:47:58.146064 : Epoch  1, Batch    744, Loss  0.647714, Average Loss  0.641610, Time  0.221354
2021-09-21 17:47:59.615003 : Epoch  1, Batch    745, Loss  0.635797, Average Loss  0.641579, Time  0.220994
2021-09-21 17:48:01.084194 : Epoch  1, Batch    746, Loss  0.644759, Average Loss  0.641547, Time  0.221620
2021-09-21 17:48:02.548946 : Epoch  1, Batch    747, Loss  0.640385, Average Loss  0.641572, Time  0.221038
2021-09-21 17:48:04.013092 : Epoch  1, Batch    748, Loss  0.643338, Average Loss  0.641536, Time  0.221881
2021-09-21 17:48:05.479720 : Epoch  1, Batch    749, Loss  0.641471, Average Loss  0.641596, Time  0.221785
2021-09-21 17:48:06.959778 : Epoch  1, Batch    750, Loss  0.633170, Average Loss  0.641543, Time  0.221254
2021-09-21 17:48:08.421283 : Epoch  1, Batch    751, Loss  0.633980, Average Loss  0.641537, Time  0.221558
2021-09-21 17:48:09.888210 : Epoch  1, Batch    752, Loss  0.638966, Average Loss  0.641519, Time  0.221631
2021-09-21 17:48:11.351826 : Epoch  1, Batch    753, Loss  0.650811, Average Loss  0.641602, Time  0.221001
2021-09-21 17:48:12.817757 : Epoch  1, Batch    754, Loss  0.633961, Average Loss  0.641584, Time  0.222575
2021-09-21 17:48:14.274736 : Epoch  1, Batch    755, Loss  0.639898, Average Loss  0.641588, Time  0.221453
2021-09-21 17:48:15.733050 : Epoch  1, Batch    756, Loss  0.652862, Average Loss  0.641697, Time  0.221609
2021-09-21 17:48:17.195964 : Epoch  1, Batch    757, Loss  0.634573, Average Loss  0.641637, Time  0.221777
2021-09-21 17:48:18.664703 : Epoch  1, Batch    758, Loss  0.636027, Average Loss  0.641646, Time  0.221627
2021-09-21 17:48:20.124681 : Epoch  1, Batch    759, Loss  0.649005, Average Loss  0.641687, Time  0.221397
2021-09-21 17:48:21.590941 : Epoch  1, Batch    760, Loss  0.637863, Average Loss  0.641682, Time  0.221236
2021-09-21 17:48:23.052986 : Epoch  1, Batch    761, Loss  0.643044, Average Loss  0.641691, Time  0.221257
2021-09-21 17:48:24.517705 : Epoch  1, Batch    762, Loss  0.637744, Average Loss  0.641629, Time  0.221739
2021-09-21 17:48:25.980769 : Epoch  1, Batch    763, Loss  0.642359, Average Loss  0.641611, Time  0.221047
2021-09-21 17:48:27.437971 : Epoch  1, Batch    764, Loss  0.651154, Average Loss  0.641685, Time  0.221314
2021-09-21 17:48:28.890975 : Epoch  1, Batch    765, Loss  0.637794, Average Loss  0.641641, Time  0.221477
2021-09-21 17:48:30.353940 : Epoch  1, Batch    766, Loss  0.630852, Average Loss  0.641573, Time  0.221318
2021-09-21 17:48:31.817955 : Epoch  1, Batch    767, Loss  0.644000, Average Loss  0.641639, Time  0.220954
2021-09-21 17:48:33.269035 : Epoch  1, Batch    768, Loss  0.639788, Average Loss  0.641662, Time  0.221490
2021-09-21 17:48:34.737737 : Epoch  1, Batch    769, Loss  0.644970, Average Loss  0.641680, Time  0.221608
2021-09-21 17:48:36.208211 : Epoch  1, Batch    770, Loss  0.645616, Average Loss  0.641677, Time  0.221064
2021-09-21 17:48:40.024003 : Epoch  1, Batch    771, Loss  0.634649, Average Loss  0.641633, Time  0.261260
2021-09-21 17:48:41.493207 : Epoch  1, Batch    772, Loss  0.641572, Average Loss  0.641612, Time  0.237905
2021-09-21 17:48:42.949934 : Epoch  1, Batch    773, Loss  0.640329, Average Loss  0.641572, Time  0.221171
2021-09-21 17:48:44.404196 : Epoch  1, Batch    774, Loss  0.639232, Average Loss  0.641573, Time  0.221054
2021-09-21 17:48:45.859974 : Epoch  1, Batch    775, Loss  0.637682, Average Loss  0.641526, Time  0.221428
2021-09-21 17:48:47.320175 : Epoch  1, Batch    776, Loss  0.643858, Average Loss  0.641517, Time  0.221328
2021-09-21 17:48:48.780761 : Epoch  1, Batch    777, Loss  0.642096, Average Loss  0.641471, Time  0.221123
2021-09-21 17:48:50.265205 : Epoch  1, Batch    778, Loss  0.635287, Average Loss  0.641412, Time  0.221326
2021-09-21 17:48:51.729197 : Epoch  1, Batch    779, Loss  0.638166, Average Loss  0.641422, Time  0.221209
2021-09-21 17:48:53.187808 : Epoch  1, Batch    780, Loss  0.641352, Average Loss  0.641404, Time  0.221431
2021-09-21 17:48:54.650802 : Epoch  1, Batch    781, Loss  0.643259, Average Loss  0.641458, Time  0.221108
2021-09-21 17:48:56.114062 : Epoch  1, Batch    782, Loss  0.640009, Average Loss  0.641400, Time  0.221550
2021-09-21 17:48:57.586191 : Epoch  1, Batch    783, Loss  0.642838, Average Loss  0.641391, Time  0.220941
2021-09-21 17:48:59.041962 : Epoch  1, Batch    784, Loss  0.644338, Average Loss  0.641427, Time  0.221453
2021-09-21 17:49:00.515136 : Epoch  1, Batch    785, Loss  0.643855, Average Loss  0.641382, Time  0.221852
2021-09-21 17:49:01.979935 : Epoch  1, Batch    786, Loss  0.646019, Average Loss  0.641368, Time  0.221691
2021-09-21 17:49:03.447216 : Epoch  1, Batch    787, Loss  0.641267, Average Loss  0.641370, Time  0.221913
2021-09-21 17:49:03.477821 : Saving Model after 1-th Epoch.
2021-09-21 17:49:04.252877 : Epoch Finished.
2021-09-21 17:49:06.558596 : Batch Shuffled
2021-09-21 17:49:08.028772 : Epoch  2, Batch      1, Loss  0.635372, Average Loss  0.641308, Time  0.221597
2021-09-21 17:49:09.479984 : Epoch  2, Batch      2, Loss  0.645133, Average Loss  0.641326, Time  0.221162
2021-09-21 17:49:10.946939 : Epoch  2, Batch      3, Loss  0.645493, Average Loss  0.641325, Time  0.221569
2021-09-21 17:49:12.419925 : Epoch  2, Batch      4, Loss  0.647262, Average Loss  0.641355, Time  0.220934
2021-09-21 17:49:13.875930 : Epoch  2, Batch      5, Loss  0.635382, Average Loss  0.641327, Time  0.221284
2021-09-21 17:49:15.344693 : Epoch  2, Batch      6, Loss  0.637713, Average Loss  0.641294, Time  0.221047
2021-09-21 17:49:16.814039 : Epoch  2, Batch      7, Loss  0.638962, Average Loss  0.641256, Time  0.221546
2021-09-21 17:49:18.293049 : Epoch  2, Batch      8, Loss  0.648180, Average Loss  0.641311, Time  0.221532
2021-09-21 17:49:19.753986 : Epoch  2, Batch      9, Loss  0.641848, Average Loss  0.641246, Time  0.221817
2021-09-21 17:49:21.210211 : Epoch  2, Batch     10, Loss  0.632552, Average Loss  0.641187, Time  0.220964
2021-09-21 17:49:22.663971 : Epoch  2, Batch     11, Loss  0.645152, Average Loss  0.641188, Time  0.221450
2021-09-21 17:49:24.128006 : Epoch  2, Batch     12, Loss  0.649590, Average Loss  0.641236, Time  0.220874
2021-09-21 17:49:25.589111 : Epoch  2, Batch     13, Loss  0.639431, Average Loss  0.641224, Time  0.221604
2021-09-21 17:50:20.369962 : CheckPoint: Validation Loss  0.00025999, Best Loss  0.00025999
2021-09-21 17:50:20.412816 : Best Model Updated
2021-09-21 17:50:22.519042 : Epoch  2, Batch     14, Loss  0.645824, Average Loss  0.641241, Time  0.221689
2021-09-21 17:50:23.985985 : Epoch  2, Batch     15, Loss  0.637518, Average Loss  0.641251, Time  0.221115
2021-09-21 17:50:25.464942 : Epoch  2, Batch     16, Loss  0.643909, Average Loss  0.641283, Time  0.221381
2021-09-21 17:50:26.935937 : Epoch  2, Batch     17, Loss  0.655599, Average Loss  0.641311, Time  0.221090
2021-09-21 17:50:28.407164 : Epoch  2, Batch     18, Loss  0.646929, Average Loss  0.641328, Time  0.221801
2021-09-21 17:50:29.873086 : Epoch  2, Batch     19, Loss  0.642214, Average Loss  0.641328, Time  0.221362
2021-09-21 17:50:31.338065 : Epoch  2, Batch     20, Loss  0.647925, Average Loss  0.641368, Time  0.221124
2021-09-21 17:50:32.810998 : Epoch  2, Batch     21, Loss  0.642981, Average Loss  0.641408, Time  0.221233
2021-09-21 17:50:34.277195 : Epoch  2, Batch     22, Loss  0.641860, Average Loss  0.641412, Time  0.221043
2021-09-21 17:50:35.747725 : Epoch  2, Batch     23, Loss  0.637104, Average Loss  0.641429, Time  0.221907
2021-09-21 17:50:37.215960 : Epoch  2, Batch     24, Loss  0.635107, Average Loss  0.641355, Time  0.221270
2021-09-21 17:50:38.681914 : Epoch  2, Batch     25, Loss  0.636979, Average Loss  0.641388, Time  0.221563
2021-09-21 17:50:40.145935 : Epoch  2, Batch     26, Loss  0.638893, Average Loss  0.641399, Time  0.221516
2021-09-21 17:50:41.617692 : Epoch  2, Batch     27, Loss  0.629266, Average Loss  0.641282, Time  0.221753
2021-09-21 17:50:43.081913 : Epoch  2, Batch     28, Loss  0.632662, Average Loss  0.641270, Time  0.221010
2021-09-21 17:50:44.544935 : Epoch  2, Batch     29, Loss  0.642709, Average Loss  0.641268, Time  0.221094
2021-09-21 17:50:46.022802 : Epoch  2, Batch     30, Loss  0.638520, Average Loss  0.641239, Time  0.221297
2021-09-21 17:50:47.481901 : Epoch  2, Batch     31, Loss  0.642648, Average Loss  0.641244, Time  0.221273
2021-09-21 17:50:48.941573 : Epoch  2, Batch     32, Loss  0.641746, Average Loss  0.641251, Time  0.221330
2021-09-21 17:50:50.409214 : Epoch  2, Batch     33, Loss  0.642642, Average Loss  0.641233, Time  0.221942
2021-09-21 17:50:51.879211 : Epoch  2, Batch     34, Loss  0.638434, Average Loss  0.641233, Time  0.221175
2021-09-21 17:50:53.351162 : Epoch  2, Batch     35, Loss  0.629020, Average Loss  0.641182, Time  0.221041
2021-09-21 17:50:54.814966 : Epoch  2, Batch     36, Loss  0.638716, Average Loss  0.641214, Time  0.221582
2021-09-21 17:50:56.282752 : Epoch  2, Batch     37, Loss  0.643687, Average Loss  0.641221, Time  0.221299
2021-09-21 17:50:57.757958 : Epoch  2, Batch     38, Loss  0.645066, Average Loss  0.641233, Time  0.221857
2021-09-21 17:50:59.220707 : Epoch  2, Batch     39, Loss  0.641080, Average Loss  0.641207, Time  0.221348
2021-09-21 17:51:00.678204 : Epoch  2, Batch     40, Loss  0.635522, Average Loss  0.641191, Time  0.221137
2021-09-21 17:51:02.133182 : Epoch  2, Batch     41, Loss  0.643167, Average Loss  0.641205, Time  0.221266
2021-09-21 17:51:03.579427 : Epoch  2, Batch     42, Loss  0.639889, Average Loss  0.641213, Time  0.221280
2021-09-21 17:51:05.031995 : Epoch  2, Batch     43, Loss  0.641582, Average Loss  0.641225, Time  0.221196
2021-09-21 17:51:06.483262 : Epoch  2, Batch     44, Loss  0.646574, Average Loss  0.641273, Time  0.221274
2021-09-21 17:51:07.950741 : Epoch  2, Batch     45, Loss  0.631763, Average Loss  0.641199, Time  0.221096
2021-09-21 17:51:09.397195 : Epoch  2, Batch     46, Loss  0.636062, Average Loss  0.641157, Time  0.221044
2021-09-21 17:51:10.851840 : Epoch  2, Batch     47, Loss  0.641866, Average Loss  0.641137, Time  0.221319
2021-09-21 17:51:12.296399 : Epoch  2, Batch     48, Loss  0.638525, Average Loss  0.641125, Time  0.221523
2021-09-21 17:51:13.746084 : Epoch  2, Batch     49, Loss  0.646183, Average Loss  0.641137, Time  0.221254
2021-09-21 17:51:15.197189 : Epoch  2, Batch     50, Loss  0.640119, Average Loss  0.641185, Time  0.221363
2021-09-21 17:51:16.647181 : Epoch  2, Batch     51, Loss  0.643777, Average Loss  0.641242, Time  0.221399
2021-09-21 17:51:18.109797 : Epoch  2, Batch     52, Loss  0.639484, Average Loss  0.641286, Time  0.221700
2021-09-21 17:51:19.566840 : Epoch  2, Batch     53, Loss  0.641923, Average Loss  0.641292, Time  0.221288
2021-09-21 17:51:21.020942 : Epoch  2, Batch     54, Loss  0.647422, Average Loss  0.641348, Time  0.221135
2021-09-21 17:51:22.479792 : Epoch  2, Batch     55, Loss  0.633664, Average Loss  0.641338, Time  0.221375
2021-09-21 17:51:23.947110 : Epoch  2, Batch     56, Loss  0.632416, Average Loss  0.641279, Time  0.221747
2021-09-21 17:51:25.409997 : Epoch  2, Batch     57, Loss  0.641778, Average Loss  0.641230, Time  0.221496
2021-09-21 17:51:26.872988 : Epoch  2, Batch     58, Loss  0.641437, Average Loss  0.641289, Time  0.221519
2021-09-21 17:51:28.328978 : Epoch  2, Batch     59, Loss  0.645722, Average Loss  0.641279, Time  0.221181
2021-09-21 17:51:29.781195 : Epoch  2, Batch     60, Loss  0.645449, Average Loss  0.641298, Time  0.221147
2021-09-21 17:51:31.230045 : Epoch  2, Batch     61, Loss  0.639120, Average Loss  0.641218, Time  0.221286
2021-09-21 17:51:32.683739 : Epoch  2, Batch     62, Loss  0.648221, Average Loss  0.641263, Time  0.221192
2021-09-21 17:51:34.135755 : Epoch  2, Batch     63, Loss  0.648741, Average Loss  0.641332, Time  0.221121
2021-09-21 17:51:35.588202 : Epoch  2, Batch     64, Loss  0.646023, Average Loss  0.641357, Time  0.221074
2021-09-21 17:51:37.028996 : Epoch  2, Batch     65, Loss  0.644227, Average Loss  0.641350, Time  0.221478
2021-09-21 17:51:38.492122 : Epoch  2, Batch     66, Loss  0.634216, Average Loss  0.641295, Time  0.221364
2021-09-21 17:51:39.945781 : Epoch  2, Batch     67, Loss  0.642011, Average Loss  0.641378, Time  0.221300
2021-09-21 17:51:41.407938 : Epoch  2, Batch     68, Loss  0.642175, Average Loss  0.641382, Time  0.221401
2021-09-21 17:51:42.874813 : Epoch  2, Batch     69, Loss  0.640745, Average Loss  0.641376, Time  0.222008
2021-09-21 17:51:44.328762 : Epoch  2, Batch     70, Loss  0.639544, Average Loss  0.641330, Time  0.221856
2021-09-21 17:51:45.781196 : Epoch  2, Batch     71, Loss  0.635479, Average Loss  0.641307, Time  0.221146
2021-09-21 17:51:47.228713 : Epoch  2, Batch     72, Loss  0.639570, Average Loss  0.641320, Time  0.221254
2021-09-21 17:51:48.680150 : Epoch  2, Batch     73, Loss  0.627844, Average Loss  0.641249, Time  0.222226
2021-09-21 17:51:50.140741 : Epoch  2, Batch     74, Loss  0.643945, Average Loss  0.641218, Time  0.221307
2021-09-21 17:51:51.605950 : Epoch  2, Batch     75, Loss  0.645027, Average Loss  0.641207, Time  0.221176
2021-09-21 17:51:53.052883 : Epoch  2, Batch     76, Loss  0.641158, Average Loss  0.641253, Time  0.221470
2021-09-21 17:51:54.511689 : Epoch  2, Batch     77, Loss  0.634182, Average Loss  0.641232, Time  0.221584
2021-09-21 17:51:55.966724 : Epoch  2, Batch     78, Loss  0.640602, Average Loss  0.641233, Time  0.221279
2021-09-21 17:51:57.412018 : Epoch  2, Batch     79, Loss  0.638546, Average Loss  0.641223, Time  0.221400
2021-09-21 17:51:58.857084 : Epoch  2, Batch     80, Loss  0.632751, Average Loss  0.641149, Time  0.220968
2021-09-21 17:52:00.309008 : Epoch  2, Batch     81, Loss  0.635247, Average Loss  0.641071, Time  0.221495
2021-09-21 17:52:01.759992 : Epoch  2, Batch     82, Loss  0.645448, Average Loss  0.641092, Time  0.221493
2021-09-21 17:52:03.214913 : Epoch  2, Batch     83, Loss  0.644120, Average Loss  0.641056, Time  0.221403
2021-09-21 17:52:06.961956 : Epoch  2, Batch     84, Loss  0.647608, Average Loss  0.641088, Time  0.257013
2021-09-21 17:52:08.423060 : Epoch  2, Batch     85, Loss  0.636527, Average Loss  0.641045, Time  0.221061
2021-09-21 17:52:09.873786 : Epoch  2, Batch     86, Loss  0.644923, Average Loss  0.641081, Time  0.221340
2021-09-21 17:52:11.321928 : Epoch  2, Batch     87, Loss  0.634637, Average Loss  0.641050, Time  0.221192
2021-09-21 17:52:12.765231 : Epoch  2, Batch     88, Loss  0.646155, Average Loss  0.641098, Time  0.222409
2021-09-21 17:52:14.204681 : Epoch  2, Batch     89, Loss  0.646504, Average Loss  0.641153, Time  0.221414
2021-09-21 17:52:15.645894 : Epoch  2, Batch     90, Loss  0.638232, Average Loss  0.641135, Time  0.221081
2021-09-21 17:52:17.090189 : Epoch  2, Batch     91, Loss  0.643476, Average Loss  0.641142, Time  0.221561
2021-09-21 17:52:18.536929 : Epoch  2, Batch     92, Loss  0.650436, Average Loss  0.641207, Time  0.221072
2021-09-21 17:52:19.988937 : Epoch  2, Batch     93, Loss  0.644367, Average Loss  0.641268, Time  0.221485
2021-09-21 17:52:21.444755 : Epoch  2, Batch     94, Loss  0.643681, Average Loss  0.641315, Time  0.221288
2021-09-21 17:52:22.887188 : Epoch  2, Batch     95, Loss  0.636638, Average Loss  0.641270, Time  0.221042
2021-09-21 17:52:24.341184 : Epoch  2, Batch     96, Loss  0.637118, Average Loss  0.641239, Time  0.221994
2021-09-21 17:52:25.798765 : Epoch  2, Batch     97, Loss  0.641590, Average Loss  0.641232, Time  0.221167
2021-09-21 17:52:27.261694 : Epoch  2, Batch     98, Loss  0.639979, Average Loss  0.641213, Time  0.221568
2021-09-21 17:52:28.727065 : Epoch  2, Batch     99, Loss  0.639595, Average Loss  0.641231, Time  0.221661
2021-09-21 17:52:30.192206 : Epoch  2, Batch    100, Loss  0.635451, Average Loss  0.641198, Time  0.221256
2021-09-21 17:52:31.645686 : Epoch  2, Batch    101, Loss  0.648743, Average Loss  0.641220, Time  0.221394
2021-09-21 17:52:33.102197 : Epoch  2, Batch    102, Loss  0.620330, Average Loss  0.641086, Time  0.221210
2021-09-21 17:52:34.568201 : Epoch  2, Batch    103, Loss  0.633809, Average Loss  0.641041, Time  0.221383
2021-09-21 17:52:36.027738 : Epoch  2, Batch    104, Loss  0.627259, Average Loss  0.640997, Time  0.221104
2021-09-21 17:52:37.484181 : Epoch  2, Batch    105, Loss  0.637432, Average Loss  0.640987, Time  0.220995
2021-09-21 17:52:38.965052 : Epoch  2, Batch    106, Loss  0.640277, Average Loss  0.641040, Time  0.221854
2021-09-21 17:52:40.451955 : Epoch  2, Batch    107, Loss  0.633101, Average Loss  0.640974, Time  0.241945
2021-09-21 17:52:41.917787 : Epoch  2, Batch    108, Loss  0.634057, Average Loss  0.640902, Time  0.221309
2021-09-21 17:52:43.368990 : Epoch  2, Batch    109, Loss  0.631146, Average Loss  0.640845, Time  0.221798
2021-09-21 17:52:44.827744 : Epoch  2, Batch    110, Loss  0.638795, Average Loss  0.640843, Time  0.221668
2021-09-21 17:52:46.285179 : Epoch  2, Batch    111, Loss  0.641185, Average Loss  0.640818, Time  0.221705
2021-09-21 17:52:47.734004 : Epoch  2, Batch    112, Loss  0.630145, Average Loss  0.640753, Time  0.221674
2021-09-21 17:52:49.189995 : Epoch  2, Batch    113, Loss  0.642420, Average Loss  0.640704, Time  0.221430
2021-09-21 17:53:44.056686 : CheckPoint: Validation Loss  0.00027417, Best Loss  0.00025999
2021-09-21 17:53:45.532007 : Epoch  2, Batch    114, Loss  0.635305, Average Loss  0.640643, Time  0.221754
2021-09-21 17:53:46.984948 : Epoch  2, Batch    115, Loss  0.637702, Average Loss  0.640651, Time  0.221321
2021-09-21 17:53:48.440214 : Epoch  2, Batch    116, Loss  0.633633, Average Loss  0.640590, Time  0.221006
2021-09-21 17:53:49.895053 : Epoch  2, Batch    117, Loss  0.636881, Average Loss  0.640506, Time  0.221188
2021-09-21 17:53:51.350673 : Epoch  2, Batch    118, Loss  0.634310, Average Loss  0.640468, Time  0.221448
2021-09-21 17:53:52.814063 : Epoch  2, Batch    119, Loss  0.635410, Average Loss  0.640444, Time  0.221703
2021-09-21 17:53:54.282988 : Epoch  2, Batch    120, Loss  0.634335, Average Loss  0.640398, Time  0.221384
2021-09-21 17:53:55.730192 : Epoch  2, Batch    121, Loss  0.637555, Average Loss  0.640393, Time  0.221042
2021-09-21 17:53:57.186876 : Epoch  2, Batch    122, Loss  0.638778, Average Loss  0.640341, Time  0.221320
2021-09-21 17:53:58.643646 : Epoch  2, Batch    123, Loss  0.629523, Average Loss  0.640259, Time  0.221373
2021-09-21 17:54:00.096927 : Epoch  2, Batch    124, Loss  0.626877, Average Loss  0.640187, Time  0.221659
2021-09-21 17:54:01.560198 : Epoch  2, Batch    125, Loss  0.628804, Average Loss  0.640130, Time  0.223019
2021-09-21 17:54:03.014197 : Epoch  2, Batch    126, Loss  0.640441, Average Loss  0.640142, Time  0.221390
2021-09-21 17:54:04.463208 : Epoch  2, Batch    127, Loss  0.643043, Average Loss  0.640162, Time  0.221966
2021-09-21 17:54:05.919776 : Epoch  2, Batch    128, Loss  0.638259, Average Loss  0.640137, Time  0.221288
2021-09-21 17:54:07.394710 : Epoch  2, Batch    129, Loss  0.637492, Average Loss  0.640103, Time  0.221410
2021-09-21 17:54:08.861111 : Epoch  2, Batch    130, Loss  0.636238, Average Loss  0.640058, Time  0.221191
2021-09-21 17:54:10.309874 : Epoch  2, Batch    131, Loss  0.630826, Average Loss  0.640009, Time  0.221330
2021-09-21 17:54:11.774179 : Epoch  2, Batch    132, Loss  0.631497, Average Loss  0.639980, Time  0.221269
2021-09-21 17:54:13.228207 : Epoch  2, Batch    133, Loss  0.638181, Average Loss  0.639974, Time  0.221396
2021-09-21 17:54:14.687993 : Epoch  2, Batch    134, Loss  0.632962, Average Loss  0.639905, Time  0.221219
2021-09-21 17:54:16.143690 : Epoch  2, Batch    135, Loss  0.626467, Average Loss  0.639816, Time  0.221265
2021-09-21 17:54:17.602261 : Epoch  2, Batch    136, Loss  0.633610, Average Loss  0.639807, Time  0.221288
2021-09-21 17:54:19.057180 : Epoch  2, Batch    137, Loss  0.632006, Average Loss  0.639775, Time  0.221337
2021-09-21 17:54:20.504027 : Epoch  2, Batch    138, Loss  0.629733, Average Loss  0.639735, Time  0.221014
2021-09-21 17:54:21.948027 : Epoch  2, Batch    139, Loss  0.639049, Average Loss  0.639755, Time  0.221228
2021-09-21 17:54:23.405684 : Epoch  2, Batch    140, Loss  0.637312, Average Loss  0.639764, Time  0.221284
2021-09-21 17:54:24.854043 : Epoch  2, Batch    141, Loss  0.638757, Average Loss  0.639704, Time  0.221277
2021-09-21 17:54:26.303305 : Epoch  2, Batch    142, Loss  0.638824, Average Loss  0.639706, Time  0.221164
2021-09-21 17:54:27.758003 : Epoch  2, Batch    143, Loss  0.628068, Average Loss  0.639647, Time  0.222231
2021-09-21 17:54:29.212935 : Epoch  2, Batch    144, Loss  0.636451, Average Loss  0.639630, Time  0.221072
2021-09-21 17:54:30.663038 : Epoch  2, Batch    145, Loss  0.630616, Average Loss  0.639566, Time  0.221831
2021-09-21 17:54:32.113943 : Epoch  2, Batch    146, Loss  0.641988, Average Loss  0.639558, Time  0.221037
2021-09-21 17:54:33.566029 : Epoch  2, Batch    147, Loss  0.641904, Average Loss  0.639569, Time  0.221227
2021-09-21 17:54:35.011029 : Epoch  2, Batch    148, Loss  0.636570, Average Loss  0.639588, Time  0.221209
2021-09-21 17:54:36.461987 : Epoch  2, Batch    149, Loss  0.633185, Average Loss  0.639558, Time  0.221448
2021-09-21 17:54:37.910101 : Epoch  2, Batch    150, Loss  0.634383, Average Loss  0.639535, Time  0.221370
2021-09-21 17:54:39.415941 : Epoch  2, Batch    151, Loss  0.635830, Average Loss  0.639517, Time  0.221798
2021-09-21 17:54:40.871313 : Epoch  2, Batch    152, Loss  0.634136, Average Loss  0.639465, Time  0.221613
2021-09-21 17:54:42.327207 : Epoch  2, Batch    153, Loss  0.622911, Average Loss  0.639365, Time  0.221348
2021-09-21 17:54:43.784961 : Epoch  2, Batch    154, Loss  0.641784, Average Loss  0.639339, Time  0.221273
2021-09-21 17:54:45.232553 : Epoch  2, Batch    155, Loss  0.635581, Average Loss  0.639334, Time  0.221161
2021-09-21 17:54:46.679969 : Epoch  2, Batch    156, Loss  0.634564, Average Loss  0.639297, Time  0.221232
2021-09-21 17:54:48.153197 : Epoch  2, Batch    157, Loss  0.635305, Average Loss  0.639235, Time  0.221200
2021-09-21 17:54:49.627812 : Epoch  2, Batch    158, Loss  0.632638, Average Loss  0.639220, Time  0.221045
2021-09-21 17:54:51.093195 : Epoch  2, Batch    159, Loss  0.636343, Average Loss  0.639178, Time  0.221301
2021-09-21 17:54:52.534065 : Epoch  2, Batch    160, Loss  0.630029, Average Loss  0.639126, Time  0.221052
2021-09-21 17:54:53.974415 : Epoch  2, Batch    161, Loss  0.641470, Average Loss  0.639116, Time  0.221270
2021-09-21 17:54:55.420112 : Epoch  2, Batch    162, Loss  0.619412, Average Loss  0.639006, Time  0.221205
2021-09-21 17:54:56.877921 : Epoch  2, Batch    163, Loss  0.640168, Average Loss  0.639041, Time  0.221530
2021-09-21 17:54:58.325539 : Epoch  2, Batch    164, Loss  0.617098, Average Loss  0.638957, Time  0.221236
2021-09-21 17:54:59.778191 : Epoch  2, Batch    165, Loss  0.631951, Average Loss  0.638922, Time  0.221360
2021-09-21 17:55:01.234136 : Epoch  2, Batch    166, Loss  0.638572, Average Loss  0.638860, Time  0.223010
2021-09-21 17:55:02.686928 : Epoch  2, Batch    167, Loss  0.634004, Average Loss  0.638861, Time  0.221141
2021-09-21 17:55:04.147836 : Epoch  2, Batch    168, Loss  0.629171, Average Loss  0.638807, Time  0.221293
2021-09-21 17:55:05.611005 : Epoch  2, Batch    169, Loss  0.632094, Average Loss  0.638703, Time  0.221234
2021-09-21 17:55:07.058244 : Epoch  2, Batch    170, Loss  0.621880, Average Loss  0.638640, Time  0.220995
2021-09-21 17:55:08.520929 : Epoch  2, Batch    171, Loss  0.633376, Average Loss  0.638626, Time  0.221295
2021-09-21 17:55:09.990673 : Epoch  2, Batch    172, Loss  0.641677, Average Loss  0.638590, Time  0.221470
2021-09-21 17:55:11.437470 : Epoch  2, Batch    173, Loss  0.623048, Average Loss  0.638516, Time  0.221306
2021-09-21 17:55:12.899068 : Epoch  2, Batch    174, Loss  0.634605, Average Loss  0.638474, Time  0.221365
2021-09-21 17:55:14.350002 : Epoch  2, Batch    175, Loss  0.633214, Average Loss  0.638451, Time  0.221375
2021-09-21 17:55:15.806008 : Epoch  2, Batch    176, Loss  0.630655, Average Loss  0.638392, Time  0.221221
2021-09-21 17:55:17.256185 : Epoch  2, Batch    177, Loss  0.620804, Average Loss  0.638241, Time  0.221338
2021-09-21 17:55:18.711792 : Epoch  2, Batch    178, Loss  0.642374, Average Loss  0.638264, Time  0.221149
2021-09-21 17:55:20.174689 : Epoch  2, Batch    179, Loss  0.622245, Average Loss  0.638220, Time  0.222051
2021-09-21 17:55:21.628010 : Epoch  2, Batch    180, Loss  0.623624, Average Loss  0.638119, Time  0.221872
2021-09-21 17:55:23.083693 : Epoch  2, Batch    181, Loss  0.623767, Average Loss  0.638038, Time  0.221510
2021-09-21 17:55:24.531054 : Epoch  2, Batch    182, Loss  0.627595, Average Loss  0.637952, Time  0.221285
2021-09-21 17:55:25.984984 : Epoch  2, Batch    183, Loss  0.615279, Average Loss  0.637800, Time  0.221800
2021-09-21 17:55:29.786130 : Epoch  2, Batch    184, Loss  0.624298, Average Loss  0.637748, Time  0.257309
2021-09-21 17:55:31.253127 : Epoch  2, Batch    185, Loss  0.637238, Average Loss  0.637726, Time  0.242655
2021-09-21 17:55:32.719950 : Epoch  2, Batch    186, Loss  0.627069, Average Loss  0.637660, Time  0.227871
2021-09-21 17:55:34.170829 : Epoch  2, Batch    187, Loss  0.624734, Average Loss  0.637588, Time  0.221267
2021-09-21 17:55:35.618705 : Epoch  2, Batch    188, Loss  0.617471, Average Loss  0.637487, Time  0.221051
2021-09-21 17:55:37.064013 : Epoch  2, Batch    189, Loss  0.631893, Average Loss  0.637427, Time  0.221251
2021-09-21 17:55:38.515716 : Epoch  2, Batch    190, Loss  0.626251, Average Loss  0.637348, Time  0.221494
2021-09-21 17:55:39.969704 : Epoch  2, Batch    191, Loss  0.625158, Average Loss  0.637297, Time  0.221270
2021-09-21 17:55:41.416991 : Epoch  2, Batch    192, Loss  0.627787, Average Loss  0.637245, Time  0.221445
2021-09-21 17:55:42.873613 : Epoch  2, Batch    193, Loss  0.614845, Average Loss  0.637113, Time  0.222011
2021-09-21 17:55:44.320988 : Epoch  2, Batch    194, Loss  0.627660, Average Loss  0.637035, Time  0.221077
2021-09-21 17:55:45.778795 : Epoch  2, Batch    195, Loss  0.618773, Average Loss  0.636928, Time  0.221101
2021-09-21 17:55:47.257078 : Epoch  2, Batch    196, Loss  0.641013, Average Loss  0.636919, Time  0.221487
2021-09-21 17:55:48.715930 : Epoch  2, Batch    197, Loss  0.627157, Average Loss  0.636833, Time  0.221219
2021-09-21 17:55:50.179683 : Epoch  2, Batch    198, Loss  0.637259, Average Loss  0.636800, Time  0.221715
2021-09-21 17:55:51.665275 : Epoch  2, Batch    199, Loss  0.645923, Average Loss  0.636800, Time  0.222838
2021-09-21 17:55:53.134976 : Epoch  2, Batch    200, Loss  0.625349, Average Loss  0.636720, Time  0.229963
2021-09-21 17:55:54.604289 : Epoch  2, Batch    201, Loss  0.623313, Average Loss  0.636660, Time  0.222899
2021-09-21 17:55:56.067685 : Epoch  2, Batch    202, Loss  0.626191, Average Loss  0.636565, Time  0.221690
2021-09-21 17:55:57.528208 : Epoch  2, Batch    203, Loss  0.632135, Average Loss  0.636498, Time  0.221759
2021-09-21 17:55:59.139950 : Epoch  2, Batch    204, Loss  0.629468, Average Loss  0.636409, Time  0.222383
2021-09-21 17:56:00.602257 : Epoch  2, Batch    205, Loss  0.633344, Average Loss  0.636399, Time  0.221885
2021-09-21 17:56:02.050964 : Epoch  2, Batch    206, Loss  0.635512, Average Loss  0.636388, Time  0.221636
2021-09-21 17:56:03.519046 : Epoch  2, Batch    207, Loss  0.632566, Average Loss  0.636356, Time  0.221701
2021-09-21 17:56:04.979948 : Epoch  2, Batch    208, Loss  0.620927, Average Loss  0.636220, Time  0.221651
2021-09-21 17:56:06.443942 : Epoch  2, Batch    209, Loss  0.625107, Average Loss  0.636136, Time  0.221944
2021-09-21 17:56:07.902958 : Epoch  2, Batch    210, Loss  0.620748, Average Loss  0.636077, Time  0.221229
2021-09-21 17:56:09.354267 : Epoch  2, Batch    211, Loss  0.633040, Average Loss  0.636017, Time  0.221617
2021-09-21 17:56:10.819180 : Epoch  2, Batch    212, Loss  0.625804, Average Loss  0.635898, Time  0.221577
2021-09-21 17:56:14.634205 : Epoch  2, Batch    213, Loss  0.638344, Average Loss  0.635892, Time  0.260056
2021-09-21 17:57:09.221677 : CheckPoint: Validation Loss  0.00026161, Best Loss  0.00025999
2021-09-21 17:57:10.691045 : Epoch  2, Batch    214, Loss  0.628758, Average Loss  0.635807, Time  0.221833
2021-09-21 17:57:12.148102 : Epoch  2, Batch    215, Loss  0.632273, Average Loss  0.635781, Time  0.221133
2021-09-21 17:57:13.603789 : Epoch  2, Batch    216, Loss  0.629564, Average Loss  0.635709, Time  0.221457
2021-09-21 17:57:15.069088 : Epoch  2, Batch    217, Loss  0.624171, Average Loss  0.635552, Time  0.221734
2021-09-21 17:57:16.524063 : Epoch  2, Batch    218, Loss  0.637170, Average Loss  0.635503, Time  0.221122
2021-09-21 17:57:17.981994 : Epoch  2, Batch    219, Loss  0.638959, Average Loss  0.635487, Time  0.221789
2021-09-21 17:57:19.433504 : Epoch  2, Batch    220, Loss  0.638889, Average Loss  0.635442, Time  0.221256
2021-09-21 17:57:20.885980 : Epoch  2, Batch    221, Loss  0.621540, Average Loss  0.635335, Time  0.221275
2021-09-21 17:57:22.331227 : Epoch  2, Batch    222, Loss  0.629875, Average Loss  0.635275, Time  0.221656
2021-09-21 17:57:23.781984 : Epoch  2, Batch    223, Loss  0.624160, Average Loss  0.635210, Time  0.221061
2021-09-21 17:57:25.233897 : Epoch  2, Batch    224, Loss  0.633464, Average Loss  0.635202, Time  0.221101
2021-09-21 17:57:26.686082 : Epoch  2, Batch    225, Loss  0.636536, Average Loss  0.635199, Time  0.221081
2021-09-21 17:57:28.138137 : Epoch  2, Batch    226, Loss  0.621832, Average Loss  0.635114, Time  0.221110
2021-09-21 17:57:29.590828 : Epoch  2, Batch    227, Loss  0.626133, Average Loss  0.635098, Time  0.221068
2021-09-21 17:57:31.042104 : Epoch  2, Batch    228, Loss  0.637113, Average Loss  0.635121, Time  0.221006
2021-09-21 17:57:32.496942 : Epoch  2, Batch    229, Loss  0.639727, Average Loss  0.635106, Time  0.221058
2021-09-21 17:57:33.954698 : Epoch  2, Batch    230, Loss  0.639293, Average Loss  0.635110, Time  0.221292
2021-09-21 17:57:35.408129 : Epoch  2, Batch    231, Loss  0.631511, Average Loss  0.635054, Time  0.221553
2021-09-21 17:57:36.876669 : Epoch  2, Batch    232, Loss  0.635193, Average Loss  0.635021, Time  0.222833
2021-09-21 17:57:38.331754 : Epoch  2, Batch    233, Loss  0.639995, Average Loss  0.635008, Time  0.221239
2021-09-21 17:57:39.824753 : Epoch  2, Batch    234, Loss  0.622264, Average Loss  0.634927, Time  0.221316
2021-09-21 17:57:41.304115 : Epoch  2, Batch    235, Loss  0.625707, Average Loss  0.634911, Time  0.221449
2021-09-21 17:57:42.759962 : Epoch  2, Batch    236, Loss  0.625531, Average Loss  0.634845, Time  0.221447
2021-09-21 17:57:44.223935 : Epoch  2, Batch    237, Loss  0.633981, Average Loss  0.634796, Time  0.221156
2021-09-21 17:57:45.673402 : Epoch  2, Batch    238, Loss  0.620377, Average Loss  0.634673, Time  0.221098
2021-09-21 17:57:47.126107 : Epoch  2, Batch    239, Loss  0.626472, Average Loss  0.634600, Time  0.221589
2021-09-21 17:57:48.578895 : Epoch  2, Batch    240, Loss  0.624022, Average Loss  0.634542, Time  0.221561
2021-09-21 17:57:50.034913 : Epoch  2, Batch    241, Loss  0.624729, Average Loss  0.634450, Time  0.221487
2021-09-21 17:57:51.489872 : Epoch  2, Batch    242, Loss  0.625952, Average Loss  0.634380, Time  0.221507
2021-09-21 17:57:52.949760 : Epoch  2, Batch    243, Loss  0.625125, Average Loss  0.634298, Time  0.221594
2021-09-21 17:57:54.414011 : Epoch  2, Batch    244, Loss  0.620973, Average Loss  0.634170, Time  0.221352
2021-09-21 17:57:55.865673 : Epoch  2, Batch    245, Loss  0.631207, Average Loss  0.634167, Time  0.221351
2021-09-21 17:57:57.323048 : Epoch  2, Batch    246, Loss  0.619590, Average Loss  0.634085, Time  0.221708
2021-09-21 17:57:58.792055 : Epoch  2, Batch    247, Loss  0.627434, Average Loss  0.634013, Time  0.221284
2021-09-21 17:58:00.249747 : Epoch  2, Batch    248, Loss  0.620584, Average Loss  0.633923, Time  0.221336
2021-09-21 17:58:01.710931 : Epoch  2, Batch    249, Loss  0.622781, Average Loss  0.633806, Time  0.221362
2021-09-21 17:58:03.178940 : Epoch  2, Batch    250, Loss  0.607014, Average Loss  0.633640, Time  0.221314
2021-09-21 17:58:04.647840 : Epoch  2, Batch    251, Loss  0.641212, Average Loss  0.633628, Time  0.221288
2021-09-21 17:58:06.106940 : Epoch  2, Batch    252, Loss  0.629983, Average Loss  0.633580, Time  0.221641
2021-09-21 17:58:07.566751 : Epoch  2, Batch    253, Loss  0.631073, Average Loss  0.633526, Time  0.221173
2021-09-21 17:58:09.028991 : Epoch  2, Batch    254, Loss  0.619399, Average Loss  0.633386, Time  0.221567
2021-09-21 17:58:10.499780 : Epoch  2, Batch    255, Loss  0.623969, Average Loss  0.633337, Time  0.221233
2021-09-21 17:58:11.956980 : Epoch  2, Batch    256, Loss  0.618928, Average Loss  0.633270, Time  0.221180
2021-09-21 17:58:13.417241 : Epoch  2, Batch    257, Loss  0.622205, Average Loss  0.633172, Time  0.221931
2021-09-21 17:58:14.873427 : Epoch  2, Batch    258, Loss  0.637157, Average Loss  0.633151, Time  0.221396
2021-09-21 17:58:16.347210 : Epoch  2, Batch    259, Loss  0.622561, Average Loss  0.633035, Time  0.221542
2021-09-21 17:58:17.805030 : Epoch  2, Batch    260, Loss  0.624409, Average Loss  0.632930, Time  0.221854
2021-09-21 17:58:19.257116 : Epoch  2, Batch    261, Loss  0.630862, Average Loss  0.632888, Time  0.221241
2021-09-21 17:58:20.713913 : Epoch  2, Batch    262, Loss  0.617603, Average Loss  0.632735, Time  0.221325
2021-09-21 17:58:22.168755 : Epoch  2, Batch    263, Loss  0.627612, Average Loss  0.632630, Time  0.221096
2021-09-21 17:58:23.621179 : Epoch  2, Batch    264, Loss  0.625180, Average Loss  0.632525, Time  0.221195
2021-09-21 17:58:25.071922 : Epoch  2, Batch    265, Loss  0.624069, Average Loss  0.632425, Time  0.221378
2021-09-21 17:58:26.517959 : Epoch  2, Batch    266, Loss  0.629184, Average Loss  0.632399, Time  0.221008
2021-09-21 17:58:27.968981 : Epoch  2, Batch    267, Loss  0.629814, Average Loss  0.632338, Time  0.221234
2021-09-21 17:58:29.419935 : Epoch  2, Batch    268, Loss  0.624389, Average Loss  0.632249, Time  0.221561
2021-09-21 17:58:30.879196 : Epoch  2, Batch    269, Loss  0.631051, Average Loss  0.632201, Time  0.221296
2021-09-21 17:58:32.337193 : Epoch  2, Batch    270, Loss  0.626366, Average Loss  0.632135, Time  0.221189
2021-09-21 17:58:33.786974 : Epoch  2, Batch    271, Loss  0.630732, Average Loss  0.632111, Time  0.221398
2021-09-21 17:58:35.239066 : Epoch  2, Batch    272, Loss  0.643683, Average Loss  0.632132, Time  0.221305
2021-09-21 17:58:36.692077 : Epoch  2, Batch    273, Loss  0.630073, Average Loss  0.632143, Time  0.220998
2021-09-21 17:58:38.143794 : Epoch  2, Batch    274, Loss  0.617161, Average Loss  0.632009, Time  0.221337
2021-09-21 17:58:39.592234 : Epoch  2, Batch    275, Loss  0.617437, Average Loss  0.631871, Time  0.221909
2021-09-21 17:58:41.063974 : Epoch  2, Batch    276, Loss  0.616235, Average Loss  0.631747, Time  0.221664
2021-09-21 17:58:42.518140 : Epoch  2, Batch    277, Loss  0.627513, Average Loss  0.631713, Time  0.221265
2021-09-21 17:58:43.964199 : Epoch  2, Batch    278, Loss  0.635832, Average Loss  0.631689, Time  0.221034
2021-09-21 17:58:45.401032 : Epoch  2, Batch    279, Loss  0.627351, Average Loss  0.631633, Time  0.221176
2021-09-21 17:58:46.851730 : Epoch  2, Batch    280, Loss  0.628131, Average Loss  0.631610, Time  0.221246
2021-09-21 17:58:48.295968 : Epoch  2, Batch    281, Loss  0.625236, Average Loss  0.631560, Time  0.221338
2021-09-21 17:58:49.744753 : Epoch  2, Batch    282, Loss  0.626879, Average Loss  0.631467, Time  0.221459
2021-09-21 17:58:51.185687 : Epoch  2, Batch    283, Loss  0.619587, Average Loss  0.631345, Time  0.221510
2021-09-21 17:58:54.942718 : Epoch  2, Batch    284, Loss  0.633012, Average Loss  0.631272, Time  0.261146
2021-09-21 17:58:56.384981 : Epoch  2, Batch    285, Loss  0.615693, Average Loss  0.631168, Time  0.229916
2021-09-21 17:58:57.817705 : Epoch  2, Batch    286, Loss  0.623460, Average Loss  0.631060, Time  0.221124
2021-09-21 17:58:59.260093 : Epoch  2, Batch    287, Loss  0.633362, Average Loss  0.631054, Time  0.221309
2021-09-21 17:59:00.701819 : Epoch  2, Batch    288, Loss  0.618524, Average Loss  0.630916, Time  0.222787
2021-09-21 17:59:02.134940 : Epoch  2, Batch    289, Loss  0.618258, Average Loss  0.630775, Time  0.221022
2021-09-21 17:59:03.574807 : Epoch  2, Batch    290, Loss  0.622035, Average Loss  0.630694, Time  0.221295
2021-09-21 17:59:05.017973 : Epoch  2, Batch    291, Loss  0.619026, Average Loss  0.630571, Time  0.221370
2021-09-21 17:59:06.454790 : Epoch  2, Batch    292, Loss  0.615140, Average Loss  0.630395, Time  0.221062
2021-09-21 17:59:07.895899 : Epoch  2, Batch    293, Loss  0.625510, Average Loss  0.630301, Time  0.222119
2021-09-21 17:59:09.335722 : Epoch  2, Batch    294, Loss  0.616387, Average Loss  0.630164, Time  0.222557
2021-09-21 17:59:10.801780 : Epoch  2, Batch    295, Loss  0.612313, Average Loss  0.630042, Time  0.221270
2021-09-21 17:59:12.244730 : Epoch  2, Batch    296, Loss  0.619673, Average Loss  0.629955, Time  0.221839
2021-09-21 17:59:13.695007 : Epoch  2, Batch    297, Loss  0.624275, Average Loss  0.629869, Time  0.221435
2021-09-21 17:59:15.140944 : Epoch  2, Batch    298, Loss  0.626717, Average Loss  0.629802, Time  0.222184
2021-09-21 17:59:16.580107 : Epoch  2, Batch    299, Loss  0.624705, Average Loss  0.629728, Time  0.221469
2021-09-21 17:59:18.020748 : Epoch  2, Batch    300, Loss  0.624748, Average Loss  0.629674, Time  0.221218
2021-09-21 17:59:19.460050 : Epoch  2, Batch    301, Loss  0.625932, Average Loss  0.629560, Time  0.221321
2021-09-21 17:59:20.898950 : Epoch  2, Batch    302, Loss  0.620286, Average Loss  0.629560, Time  0.221154
2021-09-21 17:59:22.343699 : Epoch  2, Batch    303, Loss  0.617021, Average Loss  0.629476, Time  0.221219
2021-09-21 17:59:23.787687 : Epoch  2, Batch    304, Loss  0.628351, Average Loss  0.629482, Time  0.222319
2021-09-21 17:59:25.223103 : Epoch  2, Batch    305, Loss  0.621559, Average Loss  0.629402, Time  0.221230
2021-09-21 17:59:26.667195 : Epoch  2, Batch    306, Loss  0.612904, Average Loss  0.629265, Time  0.221107
2021-09-21 17:59:28.111751 : Epoch  2, Batch    307, Loss  0.630349, Average Loss  0.629252, Time  0.221599
2021-09-21 17:59:29.559514 : Epoch  2, Batch    308, Loss  0.628752, Average Loss  0.629225, Time  0.221571
2021-09-21 17:59:30.996436 : Epoch  2, Batch    309, Loss  0.628206, Average Loss  0.629210, Time  0.221404
2021-09-21 17:59:32.447984 : Epoch  2, Batch    310, Loss  0.619388, Average Loss  0.629113, Time  0.221436
2021-09-21 17:59:33.887958 : Epoch  2, Batch    311, Loss  0.617829, Average Loss  0.628997, Time  0.221481
2021-09-21 17:59:35.330977 : Epoch  2, Batch    312, Loss  0.620507, Average Loss  0.628948, Time  0.221279
2021-09-21 17:59:36.787702 : Epoch  2, Batch    313, Loss  0.624315, Average Loss  0.628858, Time  0.221660
2021-09-21 18:00:31.540677 : CheckPoint: Validation Loss  0.00026708, Best Loss  0.00025999
2021-09-21 18:00:33.010039 : Epoch  2, Batch    314, Loss  0.612891, Average Loss  0.628746, Time  0.221743
2021-09-21 18:00:34.469315 : Epoch  2, Batch    315, Loss  0.634228, Average Loss  0.628728, Time  0.221523
2021-09-21 18:00:35.922941 : Epoch  2, Batch    316, Loss  0.622063, Average Loss  0.628671, Time  0.221245
2021-09-21 18:00:37.382170 : Epoch  2, Batch    317, Loss  0.615442, Average Loss  0.628563, Time  0.221246
2021-09-21 18:00:38.837812 : Epoch  2, Batch    318, Loss  0.623563, Average Loss  0.628510, Time  0.221330
2021-09-21 18:00:40.300193 : Epoch  2, Batch    319, Loss  0.623674, Average Loss  0.628451, Time  0.221555
2021-09-21 18:00:41.764781 : Epoch  2, Batch    320, Loss  0.618762, Average Loss  0.628373, Time  0.221233
2021-09-21 18:00:43.211206 : Epoch  2, Batch    321, Loss  0.621168, Average Loss  0.628291, Time  0.221246
2021-09-21 18:00:44.660040 : Epoch  2, Batch    322, Loss  0.613268, Average Loss  0.628164, Time  0.221207
2021-09-21 18:00:46.114916 : Epoch  2, Batch    323, Loss  0.618979, Average Loss  0.628111, Time  0.222309
2021-09-21 18:00:47.568954 : Epoch  2, Batch    324, Loss  0.616479, Average Loss  0.628059, Time  0.221485
2021-09-21 18:00:49.022899 : Epoch  2, Batch    325, Loss  0.624915, Average Loss  0.628039, Time  0.221220
2021-09-21 18:00:50.474685 : Epoch  2, Batch    326, Loss  0.623357, Average Loss  0.627954, Time  0.221335
2021-09-21 18:00:51.917760 : Epoch  2, Batch    327, Loss  0.618486, Average Loss  0.627831, Time  0.221295
2021-09-21 18:00:53.359192 : Epoch  2, Batch    328, Loss  0.627863, Average Loss  0.627779, Time  0.221047
2021-09-21 18:00:54.817062 : Epoch  2, Batch    329, Loss  0.614667, Average Loss  0.627665, Time  0.222047
2021-09-21 18:00:56.265674 : Epoch  2, Batch    330, Loss  0.619312, Average Loss  0.627581, Time  0.221016
2021-09-21 18:00:57.712020 : Epoch  2, Batch    331, Loss  0.617599, Average Loss  0.627514, Time  0.221390
2021-09-21 18:00:59.165972 : Epoch  2, Batch    332, Loss  0.630069, Average Loss  0.627507, Time  0.221873
2021-09-21 18:01:00.612025 : Epoch  2, Batch    333, Loss  0.625706, Average Loss  0.627445, Time  0.221390
2021-09-21 18:01:02.059271 : Epoch  2, Batch    334, Loss  0.628098, Average Loss  0.627421, Time  0.221102
2021-09-21 18:01:03.512965 : Epoch  2, Batch    335, Loss  0.640514, Average Loss  0.627491, Time  0.221546
2021-09-21 18:01:04.959726 : Epoch  2, Batch    336, Loss  0.624592, Average Loss  0.627446, Time  0.220900
2021-09-21 18:01:06.415201 : Epoch  2, Batch    337, Loss  0.617555, Average Loss  0.627373, Time  0.221845
2021-09-21 18:01:07.860263 : Epoch  2, Batch    338, Loss  0.623761, Average Loss  0.627344, Time  0.221498
2021-09-21 18:01:09.308193 : Epoch  2, Batch    339, Loss  0.621177, Average Loss  0.627254, Time  0.221751
2021-09-21 18:01:10.767923 : Epoch  2, Batch    340, Loss  0.630201, Average Loss  0.627219, Time  0.221242
2021-09-21 18:01:12.229211 : Epoch  2, Batch    341, Loss  0.625035, Average Loss  0.627150, Time  0.221351
2021-09-21 18:01:13.679941 : Epoch  2, Batch    342, Loss  0.624688, Average Loss  0.627079, Time  0.220949
2021-09-21 18:01:15.253703 : Epoch  2, Batch    343, Loss  0.624318, Average Loss  0.627061, Time  0.221563
2021-09-21 18:01:16.729186 : Epoch  2, Batch    344, Loss  0.617199, Average Loss  0.626964, Time  0.221059
2021-09-21 18:01:18.167722 : Epoch  2, Batch    345, Loss  0.622739, Average Loss  0.626925, Time  0.221362
2021-09-21 18:01:19.616008 : Epoch  2, Batch    346, Loss  0.623661, Average Loss  0.626833, Time  0.221523
2021-09-21 18:01:21.061052 : Epoch  2, Batch    347, Loss  0.624918, Average Loss  0.626748, Time  0.221251
2021-09-21 18:01:22.503994 : Epoch  2, Batch    348, Loss  0.622521, Average Loss  0.626678, Time  0.221223
2021-09-21 18:01:23.955779 : Epoch  2, Batch    349, Loss  0.615042, Average Loss  0.626587, Time  0.221771
2021-09-21 18:01:25.409704 : Epoch  2, Batch    350, Loss  0.619167, Average Loss  0.626511, Time  0.221157
2021-09-21 18:01:26.869935 : Epoch  2, Batch    351, Loss  0.635784, Average Loss  0.626511, Time  0.221361
2021-09-21 18:01:28.327048 : Epoch  2, Batch    352, Loss  0.619591, Average Loss  0.626438, Time  0.221552
2021-09-21 18:01:29.771933 : Epoch  2, Batch    353, Loss  0.612795, Average Loss  0.626388, Time  0.221127
2021-09-21 18:01:31.222287 : Epoch  2, Batch    354, Loss  0.626093, Average Loss  0.626309, Time  0.221529
2021-09-21 18:01:32.686914 : Epoch  2, Batch    355, Loss  0.616190, Average Loss  0.626212, Time  0.221772
2021-09-21 18:01:34.144208 : Epoch  2, Batch    356, Loss  0.626818, Average Loss  0.626174, Time  0.221029
2021-09-21 18:01:35.588932 : Epoch  2, Batch    357, Loss  0.609606, Average Loss  0.626045, Time  0.221226
2021-09-21 18:01:37.049798 : Epoch  2, Batch    358, Loss  0.629284, Average Loss  0.626028, Time  0.222367
2021-09-21 18:01:38.502423 : Epoch  2, Batch    359, Loss  0.624624, Average Loss  0.625970, Time  0.221323
2021-09-21 18:01:39.972262 : Epoch  2, Batch    360, Loss  0.624535, Average Loss  0.625942, Time  0.221844
2021-09-21 18:01:41.431674 : Epoch  2, Batch    361, Loss  0.625660, Average Loss  0.625863, Time  0.221911
2021-09-21 18:01:42.889033 : Epoch  2, Batch    362, Loss  0.626102, Average Loss  0.625897, Time  0.221325
2021-09-21 18:01:44.330216 : Epoch  2, Batch    363, Loss  0.612841, Average Loss  0.625760, Time  0.221572
2021-09-21 18:01:45.776983 : Epoch  2, Batch    364, Loss  0.628585, Average Loss  0.625818, Time  0.221532
2021-09-21 18:01:47.216702 : Epoch  2, Batch    365, Loss  0.621805, Average Loss  0.625767, Time  0.221366
2021-09-21 18:01:48.668940 : Epoch  2, Batch    366, Loss  0.619020, Average Loss  0.625669, Time  0.221318
2021-09-21 18:01:50.123837 : Epoch  2, Batch    367, Loss  0.617933, Average Loss  0.625589, Time  0.222028
2021-09-21 18:01:51.588675 : Epoch  2, Batch    368, Loss  0.622721, Average Loss  0.625556, Time  0.221042
2021-09-21 18:01:53.031570 : Epoch  2, Batch    369, Loss  0.619999, Average Loss  0.625496, Time  0.221288
2021-09-21 18:01:54.503296 : Epoch  2, Batch    370, Loss  0.619665, Average Loss  0.625485, Time  0.221714
2021-09-21 18:01:55.978867 : Epoch  2, Batch    371, Loss  0.614072, Average Loss  0.625388, Time  0.221367
2021-09-21 18:01:57.423033 : Epoch  2, Batch    372, Loss  0.620760, Average Loss  0.625284, Time  0.222476
2021-09-21 18:01:58.874201 : Epoch  2, Batch    373, Loss  0.633446, Average Loss  0.625336, Time  0.221319
2021-09-21 18:02:00.324704 : Epoch  2, Batch    374, Loss  0.628006, Average Loss  0.625303, Time  0.221024
2021-09-21 18:02:01.765824 : Epoch  2, Batch    375, Loss  0.620558, Average Loss  0.625240, Time  0.221612
2021-09-21 18:02:03.212155 : Epoch  2, Batch    376, Loss  0.627974, Average Loss  0.625226, Time  0.221488
2021-09-21 18:02:04.665177 : Epoch  2, Batch    377, Loss  0.622144, Average Loss  0.625233, Time  0.221487
2021-09-21 18:02:06.108948 : Epoch  2, Batch    378, Loss  0.614882, Average Loss  0.625095, Time  0.221163
2021-09-21 18:02:07.555849 : Epoch  2, Batch    379, Loss  0.618933, Average Loss  0.625079, Time  0.221383
2021-09-21 18:02:09.008804 : Epoch  2, Batch    380, Loss  0.614971, Average Loss  0.625036, Time  0.222330
2021-09-21 18:02:10.462293 : Epoch  2, Batch    381, Loss  0.605323, Average Loss  0.624943, Time  0.221471
2021-09-21 18:02:11.921226 : Epoch  2, Batch    382, Loss  0.629939, Average Loss  0.624955, Time  0.221128
2021-09-21 18:02:13.373877 : Epoch  2, Batch    383, Loss  0.618521, Average Loss  0.624971, Time  0.221585
2021-09-21 18:02:17.085171 : Epoch  2, Batch    384, Loss  0.617090, Average Loss  0.624935, Time  0.251686
2021-09-21 18:02:18.561786 : Epoch  2, Batch    385, Loss  0.615458, Average Loss  0.624826, Time  0.225824
2021-09-21 18:02:20.018035 : Epoch  2, Batch    386, Loss  0.618437, Average Loss  0.624783, Time  0.221480
2021-09-21 18:02:21.468823 : Epoch  2, Batch    387, Loss  0.622668, Average Loss  0.624773, Time  0.221372
2021-09-21 18:02:22.928932 : Epoch  2, Batch    388, Loss  0.628591, Average Loss  0.624828, Time  0.221339
2021-09-21 18:02:24.374115 : Epoch  2, Batch    389, Loss  0.630737, Average Loss  0.624823, Time  0.221565
2021-09-21 18:02:25.822879 : Epoch  2, Batch    390, Loss  0.624077, Average Loss  0.624812, Time  0.221150
2021-09-21 18:02:27.275905 : Epoch  2, Batch    391, Loss  0.628485, Average Loss  0.624828, Time  0.221104
2021-09-21 18:02:28.726114 : Epoch  2, Batch    392, Loss  0.623557, Average Loss  0.624807, Time  0.221012
2021-09-21 18:02:30.184969 : Epoch  2, Batch    393, Loss  0.635599, Average Loss  0.624911, Time  0.222875
2021-09-21 18:02:31.641622 : Epoch  2, Batch    394, Loss  0.622175, Average Loss  0.624884, Time  0.221680
2021-09-21 18:02:33.108927 : Epoch  2, Batch    395, Loss  0.622118, Average Loss  0.624900, Time  0.221289
2021-09-21 18:02:34.562122 : Epoch  2, Batch    396, Loss  0.611317, Average Loss  0.624752, Time  0.221445
2021-09-21 18:02:36.017979 : Epoch  2, Batch    397, Loss  0.623210, Average Loss  0.624732, Time  0.221716
2021-09-21 18:02:37.474459 : Epoch  2, Batch    398, Loss  0.617093, Average Loss  0.624631, Time  0.221102
2021-09-21 18:02:38.934201 : Epoch  2, Batch    399, Loss  0.628111, Average Loss  0.624542, Time  0.221359
2021-09-21 18:02:40.395049 : Epoch  2, Batch    400, Loss  0.621504, Average Loss  0.624523, Time  0.221388
2021-09-21 18:02:41.852691 : Epoch  2, Batch    401, Loss  0.632562, Average Loss  0.624569, Time  0.221623
2021-09-21 18:02:43.312928 : Epoch  2, Batch    402, Loss  0.625493, Average Loss  0.624566, Time  0.221101
2021-09-21 18:02:44.769085 : Epoch  2, Batch    403, Loss  0.617464, Average Loss  0.624492, Time  0.221869
2021-09-21 18:02:46.223215 : Epoch  2, Batch    404, Loss  0.632059, Average Loss  0.624505, Time  0.221195
2021-09-21 18:02:47.675029 : Epoch  2, Batch    405, Loss  0.630619, Average Loss  0.624492, Time  0.221407
2021-09-21 18:02:49.132954 : Epoch  2, Batch    406, Loss  0.633554, Average Loss  0.624482, Time  0.221253
2021-09-21 18:02:50.591838 : Epoch  2, Batch    407, Loss  0.617472, Average Loss  0.624406, Time  0.221982
2021-09-21 18:02:52.053101 : Epoch  2, Batch    408, Loss  0.622728, Average Loss  0.624415, Time  0.221338
2021-09-21 18:02:53.504379 : Epoch  2, Batch    409, Loss  0.619224, Average Loss  0.624386, Time  0.221535
2021-09-21 18:02:54.959210 : Epoch  2, Batch    410, Loss  0.607843, Average Loss  0.624322, Time  0.221719
2021-09-21 18:02:56.419074 : Epoch  2, Batch    411, Loss  0.623630, Average Loss  0.624274, Time  0.221685
2021-09-21 18:02:57.878202 : Epoch  2, Batch    412, Loss  0.631183, Average Loss  0.624301, Time  0.220861
2021-09-21 18:02:59.343969 : Epoch  2, Batch    413, Loss  0.621926, Average Loss  0.624219, Time  0.221327
2021-09-21 18:03:54.221684 : CheckPoint: Validation Loss  0.00025979, Best Loss  0.00025979
2021-09-21 18:03:54.259553 : Best Model Updated
2021-09-21 18:03:56.337092 : Epoch  2, Batch    414, Loss  0.626033, Average Loss  0.624206, Time  0.221617
2021-09-21 18:03:57.795422 : Epoch  2, Batch    415, Loss  0.624498, Average Loss  0.624167, Time  0.221344
2021-09-21 18:03:59.254013 : Epoch  2, Batch    416, Loss  0.624138, Average Loss  0.624140, Time  0.221452
2021-09-21 18:04:00.725024 : Epoch  2, Batch    417, Loss  0.622992, Average Loss  0.624134, Time  0.221586
2021-09-21 18:04:02.188984 : Epoch  2, Batch    418, Loss  0.621411, Average Loss  0.624055, Time  0.221385
2021-09-21 18:04:03.646687 : Epoch  2, Batch    419, Loss  0.628238, Average Loss  0.624001, Time  0.221247
2021-09-21 18:04:05.117818 : Epoch  2, Batch    420, Loss  0.623915, Average Loss  0.623926, Time  0.221296
2021-09-21 18:04:06.571199 : Epoch  2, Batch    421, Loss  0.630417, Average Loss  0.623971, Time  0.221062
2021-09-21 18:04:08.028002 : Epoch  2, Batch    422, Loss  0.625513, Average Loss  0.623949, Time  0.221555
2021-09-21 18:04:09.477220 : Epoch  2, Batch    423, Loss  0.615332, Average Loss  0.623905, Time  0.220912
2021-09-21 18:04:10.933786 : Epoch  2, Batch    424, Loss  0.626451, Average Loss  0.623870, Time  0.221177
2021-09-21 18:04:12.398015 : Epoch  2, Batch    425, Loss  0.618468, Average Loss  0.623780, Time  0.221663
2021-09-21 18:04:13.879056 : Epoch  2, Batch    426, Loss  0.623909, Average Loss  0.623790, Time  0.221365
2021-09-21 18:04:15.342184 : Epoch  2, Batch    427, Loss  0.610479, Average Loss  0.623712, Time  0.222561
2021-09-21 18:04:16.799995 : Epoch  2, Batch    428, Loss  0.623466, Average Loss  0.623643, Time  0.221516
2021-09-21 18:04:18.262962 : Epoch  2, Batch    429, Loss  0.627495, Average Loss  0.623582, Time  0.221532
2021-09-21 18:04:19.733755 : Epoch  2, Batch    430, Loss  0.624695, Average Loss  0.623509, Time  0.221091
2021-09-21 18:04:21.191695 : Epoch  2, Batch    431, Loss  0.620422, Average Loss  0.623454, Time  0.221258
2021-09-21 18:04:22.661751 : Epoch  2, Batch    432, Loss  0.616785, Average Loss  0.623362, Time  0.221153
2021-09-21 18:04:24.125701 : Epoch  2, Batch    433, Loss  0.618510, Average Loss  0.623254, Time  0.221169
2021-09-21 18:04:25.578472 : Epoch  2, Batch    434, Loss  0.620039, Average Loss  0.623243, Time  0.222104
2021-09-21 18:04:27.034046 : Epoch  2, Batch    435, Loss  0.624449, Average Loss  0.623237, Time  0.221190
2021-09-21 18:04:28.494981 : Epoch  2, Batch    436, Loss  0.615603, Average Loss  0.623187, Time  0.221188
2021-09-21 18:04:28.617827 : Epoch  2, Batch    437, Loss  0.522752, Average Loss  0.622631, Time  0.087848
2021-09-21 18:04:30.071652 : Epoch  2, Batch    438, Loss  0.632585, Average Loss  0.622692, Time  0.221215
2021-09-21 18:04:31.523019 : Epoch  2, Batch    439, Loss  0.632559, Average Loss  0.622723, Time  0.221264
2021-09-21 18:04:32.972144 : Epoch  2, Batch    440, Loss  0.646632, Average Loss  0.622836, Time  0.221627
2021-09-21 18:04:34.434823 : Epoch  2, Batch    441, Loss  0.653723, Average Loss  0.622981, Time  0.221829
2021-09-21 18:04:35.899705 : Epoch  2, Batch    442, Loss  0.642584, Average Loss  0.623064, Time  0.221523
2021-09-21 18:04:37.356134 : Epoch  2, Batch    443, Loss  0.629994, Average Loss  0.623088, Time  0.221982
2021-09-21 18:04:38.819754 : Epoch  2, Batch    444, Loss  0.630384, Average Loss  0.623135, Time  0.221428
2021-09-21 18:04:40.292196 : Epoch  2, Batch    445, Loss  0.636875, Average Loss  0.623164, Time  0.221235
2021-09-21 18:04:41.746699 : Epoch  2, Batch    446, Loss  0.644137, Average Loss  0.623286, Time  0.221699
2021-09-21 18:04:43.220919 : Epoch  2, Batch    447, Loss  0.634461, Average Loss  0.623321, Time  0.221488
2021-09-21 18:04:44.678764 : Epoch  2, Batch    448, Loss  0.633515, Average Loss  0.623386, Time  0.221451
2021-09-21 18:04:46.133048 : Epoch  2, Batch    449, Loss  0.631732, Average Loss  0.623431, Time  0.221604
2021-09-21 18:04:47.586784 : Epoch  2, Batch    450, Loss  0.630982, Average Loss  0.623551, Time  0.221296
2021-09-21 18:04:49.037122 : Epoch  2, Batch    451, Loss  0.635947, Average Loss  0.623524, Time  0.221472
2021-09-21 18:04:50.491122 : Epoch  2, Batch    452, Loss  0.639660, Average Loss  0.623573, Time  0.221117
2021-09-21 18:04:51.941125 : Epoch  2, Batch    453, Loss  0.638981, Average Loss  0.623612, Time  0.221419
2021-09-21 18:04:53.392932 : Epoch  2, Batch    454, Loss  0.631601, Average Loss  0.623673, Time  0.221165
2021-09-21 18:04:54.848812 : Epoch  2, Batch    455, Loss  0.631219, Average Loss  0.623710, Time  0.221347
2021-09-21 18:04:56.304714 : Epoch  2, Batch    456, Loss  0.634850, Average Loss  0.623789, Time  0.222440
2021-09-21 18:04:57.766818 : Epoch  2, Batch    457, Loss  0.639093, Average Loss  0.623874, Time  0.221708
2021-09-21 18:04:59.218144 : Epoch  2, Batch    458, Loss  0.637157, Average Loss  0.623874, Time  0.221237
2021-09-21 18:05:00.668707 : Epoch  2, Batch    459, Loss  0.629035, Average Loss  0.623906, Time  0.221681
2021-09-21 18:05:02.140892 : Epoch  2, Batch    460, Loss  0.632395, Average Loss  0.623946, Time  0.224551
2021-09-21 18:05:03.604939 : Epoch  2, Batch    461, Loss  0.633264, Average Loss  0.623958, Time  0.221118
2021-09-21 18:05:05.063170 : Epoch  2, Batch    462, Loss  0.630403, Average Loss  0.624022, Time  0.222272
2021-09-21 18:05:06.522181 : Epoch  2, Batch    463, Loss  0.635594, Average Loss  0.624062, Time  0.221646
2021-09-21 18:05:07.974844 : Epoch  2, Batch    464, Loss  0.628120, Average Loss  0.624076, Time  0.221868
2021-09-21 18:05:09.437906 : Epoch  2, Batch    465, Loss  0.636379, Average Loss  0.624138, Time  0.221409
2021-09-21 18:05:10.901928 : Epoch  2, Batch    466, Loss  0.622699, Average Loss  0.624106, Time  0.221143
2021-09-21 18:05:12.358810 : Epoch  2, Batch    467, Loss  0.628468, Average Loss  0.624099, Time  0.221449
2021-09-21 18:05:13.834932 : Epoch  2, Batch    468, Loss  0.626549, Average Loss  0.624110, Time  0.222965
2021-09-21 18:05:15.288999 : Epoch  2, Batch    469, Loss  0.637234, Average Loss  0.624141, Time  0.221270
2021-09-21 18:05:16.744694 : Epoch  2, Batch    470, Loss  0.610068, Average Loss  0.624059, Time  0.221205
2021-09-21 18:05:18.196494 : Epoch  2, Batch    471, Loss  0.627723, Average Loss  0.624044, Time  0.221359
2021-09-21 18:05:19.648949 : Epoch  2, Batch    472, Loss  0.624657, Average Loss  0.623949, Time  0.221296
2021-09-21 18:05:21.107876 : Epoch  2, Batch    473, Loss  0.627153, Average Loss  0.623934, Time  0.221585
2021-09-21 18:05:22.595912 : Epoch  2, Batch    474, Loss  0.644291, Average Loss  0.624070, Time  0.221381
2021-09-21 18:05:24.049030 : Epoch  2, Batch    475, Loss  0.642598, Average Loss  0.624196, Time  0.221387
2021-09-21 18:05:25.508920 : Epoch  2, Batch    476, Loss  0.637505, Average Loss  0.624302, Time  0.221411
2021-09-21 18:05:26.973961 : Epoch  2, Batch    477, Loss  0.630936, Average Loss  0.624319, Time  0.221576
2021-09-21 18:05:28.431895 : Epoch  2, Batch    478, Loss  0.620126, Average Loss  0.624241, Time  0.222513
2021-09-21 18:05:29.906066 : Epoch  2, Batch    479, Loss  0.629756, Average Loss  0.624253, Time  0.221748
2021-09-21 18:05:31.378056 : Epoch  2, Batch    480, Loss  0.631931, Average Loss  0.624272, Time  0.221191
2021-09-21 18:05:32.838969 : Epoch  2, Batch    481, Loss  0.625983, Average Loss  0.624275, Time  0.221699
2021-09-21 18:05:34.295705 : Epoch  2, Batch    482, Loss  0.636835, Average Loss  0.624325, Time  0.221127
2021-09-21 18:05:35.750264 : Epoch  2, Batch    483, Loss  0.624201, Average Loss  0.624348, Time  0.221672
2021-09-21 18:05:37.207869 : Epoch  2, Batch    484, Loss  0.620409, Average Loss  0.624285, Time  0.220875
2021-09-21 18:05:40.987105 : Epoch  2, Batch    485, Loss  0.631833, Average Loss  0.624366, Time  0.258414
2021-09-21 18:05:42.463268 : Epoch  2, Batch    486, Loss  0.620936, Average Loss  0.624353, Time  0.242028
2021-09-21 18:05:43.938111 : Epoch  2, Batch    487, Loss  0.636600, Average Loss  0.624370, Time  0.228113
2021-09-21 18:05:45.379585 : Epoch  2, Batch    488, Loss  0.625584, Average Loss  0.624405, Time  0.221142
2021-09-21 18:05:46.845201 : Epoch  2, Batch    489, Loss  0.631188, Average Loss  0.624470, Time  0.221754
2021-09-21 18:05:48.302193 : Epoch  2, Batch    490, Loss  0.622141, Average Loss  0.624470, Time  0.221268
2021-09-21 18:05:49.757941 : Epoch  2, Batch    491, Loss  0.633305, Average Loss  0.624541, Time  0.221281
2021-09-21 18:05:51.201082 : Epoch  2, Batch    492, Loss  0.617703, Average Loss  0.624554, Time  0.221021
2021-09-21 18:05:52.642910 : Epoch  2, Batch    493, Loss  0.625391, Average Loss  0.624554, Time  0.221387
2021-09-21 18:05:54.084945 : Epoch  2, Batch    494, Loss  0.617471, Average Loss  0.624559, Time  0.221297
2021-09-21 18:05:55.548689 : Epoch  2, Batch    495, Loss  0.626261, Average Loss  0.624629, Time  0.221174
2021-09-21 18:05:57.005227 : Epoch  2, Batch    496, Loss  0.628895, Average Loss  0.624675, Time  0.221471
2021-09-21 18:05:58.454962 : Epoch  2, Batch    497, Loss  0.621610, Average Loss  0.624662, Time  0.221631
2021-09-21 18:05:59.905934 : Epoch  2, Batch    498, Loss  0.639172, Average Loss  0.624724, Time  0.221140
2021-09-21 18:06:01.362190 : Epoch  2, Batch    499, Loss  0.629005, Average Loss  0.624745, Time  0.221267
2021-09-21 18:06:02.815787 : Epoch  2, Batch    500, Loss  0.630098, Average Loss  0.624772, Time  0.221066
2021-09-21 18:06:04.260694 : Epoch  2, Batch    501, Loss  0.637112, Average Loss  0.624828, Time  0.221222
2021-09-21 18:06:05.713949 : Epoch  2, Batch    502, Loss  0.634617, Average Loss  0.624900, Time  0.220973
2021-09-21 18:06:07.166971 : Epoch  2, Batch    503, Loss  0.630668, Average Loss  0.624968, Time  0.221325
2021-09-21 18:06:08.617174 : Epoch  2, Batch    504, Loss  0.621730, Average Loss  0.624935, Time  0.220947
2021-09-21 18:06:10.064433 : Epoch  2, Batch    505, Loss  0.629069, Average Loss  0.624972, Time  0.221520
2021-09-21 18:06:11.516716 : Epoch  2, Batch    506, Loss  0.623026, Average Loss  0.625023, Time  0.221205
2021-09-21 18:06:12.977205 : Epoch  2, Batch    507, Loss  0.638273, Average Loss  0.625063, Time  0.221116
2021-09-21 18:06:14.435196 : Epoch  2, Batch    508, Loss  0.634502, Average Loss  0.625091, Time  0.221200
2021-09-21 18:06:15.894194 : Epoch  2, Batch    509, Loss  0.630559, Average Loss  0.625103, Time  0.221158
2021-09-21 18:06:17.348349 : Epoch  2, Batch    510, Loss  0.612667, Average Loss  0.625070, Time  0.221144
2021-09-21 18:06:18.805998 : Epoch  2, Batch    511, Loss  0.633777, Average Loss  0.625149, Time  0.221339
2021-09-21 18:06:20.271943 : Epoch  2, Batch    512, Loss  0.628336, Average Loss  0.625188, Time  0.221034
2021-09-21 18:06:21.729133 : Epoch  2, Batch    513, Loss  0.618768, Average Loss  0.625161, Time  0.221696
2021-09-21 18:07:16.744676 : CheckPoint: Validation Loss  0.00026437, Best Loss  0.00025979
2021-09-21 18:07:18.213253 : Epoch  2, Batch    514, Loss  0.620516, Average Loss  0.625199, Time  0.221944
2021-09-21 18:07:19.675124 : Epoch  2, Batch    515, Loss  0.616989, Average Loss  0.625113, Time  0.221914
2021-09-21 18:07:21.139956 : Epoch  2, Batch    516, Loss  0.616331, Average Loss  0.625084, Time  0.221096
2021-09-21 18:07:22.611907 : Epoch  2, Batch    517, Loss  0.639312, Average Loss  0.625203, Time  0.221318
2021-09-21 18:07:24.075978 : Epoch  2, Batch    518, Loss  0.628526, Average Loss  0.625228, Time  0.221328
2021-09-21 18:07:25.545952 : Epoch  2, Batch    519, Loss  0.621136, Average Loss  0.625215, Time  0.221273
2021-09-21 18:07:27.010002 : Epoch  2, Batch    520, Loss  0.633438, Average Loss  0.625289, Time  0.221044
2021-09-21 18:07:28.469933 : Epoch  2, Batch    521, Loss  0.610557, Average Loss  0.625236, Time  0.221374
2021-09-21 18:07:29.940746 : Epoch  2, Batch    522, Loss  0.621414, Average Loss  0.625276, Time  0.220973
2021-09-21 18:07:31.409950 : Epoch  2, Batch    523, Loss  0.633993, Average Loss  0.625352, Time  0.221760
2021-09-21 18:07:32.879949 : Epoch  2, Batch    524, Loss  0.622447, Average Loss  0.625381, Time  0.220999
2021-09-21 18:07:34.341128 : Epoch  2, Batch    525, Loss  0.616720, Average Loss  0.625340, Time  0.221334
2021-09-21 18:07:35.811904 : Epoch  2, Batch    526, Loss  0.625942, Average Loss  0.625353, Time  0.221089
2021-09-21 18:07:37.276886 : Epoch  2, Batch    527, Loss  0.618335, Average Loss  0.625353, Time  0.221343
2021-09-21 18:07:38.740930 : Epoch  2, Batch    528, Loss  0.636345, Average Loss  0.625395, Time  0.221030
2021-09-21 18:07:40.202896 : Epoch  2, Batch    529, Loss  0.628291, Average Loss  0.625463, Time  0.220953
2021-09-21 18:07:41.662106 : Epoch  2, Batch    530, Loss  0.631008, Average Loss  0.625522, Time  0.221049
2021-09-21 18:07:43.119137 : Epoch  2, Batch    531, Loss  0.624998, Average Loss  0.625559, Time  0.220979
2021-09-21 18:07:44.613692 : Epoch  2, Batch    532, Loss  0.619617, Average Loss  0.625506, Time  0.221170
2021-09-21 18:07:46.076990 : Epoch  2, Batch    533, Loss  0.620007, Average Loss  0.625478, Time  0.221425
2021-09-21 18:07:47.566029 : Epoch  2, Batch    534, Loss  0.622686, Average Loss  0.625451, Time  0.235239
2021-09-21 18:07:49.027938 : Epoch  2, Batch    535, Loss  0.614910, Average Loss  0.625323, Time  0.221325
2021-09-21 18:07:50.492915 : Epoch  2, Batch    536, Loss  0.625044, Average Loss  0.625325, Time  0.221295
2021-09-21 18:07:51.948938 : Epoch  2, Batch    537, Loss  0.623705, Average Loss  0.625356, Time  0.221001
2021-09-21 18:07:53.417918 : Epoch  2, Batch    538, Loss  0.627319, Average Loss  0.625374, Time  0.221227
2021-09-21 18:07:54.920774 : Epoch  2, Batch    539, Loss  0.621711, Average Loss  0.625376, Time  0.221766
2021-09-21 18:07:56.386946 : Epoch  2, Batch    540, Loss  0.625745, Average Loss  0.625354, Time  0.221226
2021-09-21 18:07:57.848940 : Epoch  2, Batch    541, Loss  0.627675, Average Loss  0.625367, Time  0.223350
2021-09-21 18:07:59.312136 : Epoch  2, Batch    542, Loss  0.634213, Average Loss  0.625415, Time  0.220997
2021-09-21 18:08:00.806919 : Epoch  2, Batch    543, Loss  0.617828, Average Loss  0.625382, Time  0.221349
2021-09-21 18:08:02.280122 : Epoch  2, Batch    544, Loss  0.629994, Average Loss  0.625446, Time  0.221610
2021-09-21 18:08:03.745087 : Epoch  2, Batch    545, Loss  0.623098, Average Loss  0.625448, Time  0.221030
2021-09-21 18:08:05.210563 : Epoch  2, Batch    546, Loss  0.602367, Average Loss  0.625342, Time  0.221142
2021-09-21 18:08:06.676137 : Epoch  2, Batch    547, Loss  0.620173, Average Loss  0.625318, Time  0.221413
2021-09-21 18:08:08.141143 : Epoch  2, Batch    548, Loss  0.612010, Average Loss  0.625265, Time  0.220930
2021-09-21 18:08:09.606995 : Epoch  2, Batch    549, Loss  0.635103, Average Loss  0.625366, Time  0.220885
2021-09-21 18:08:11.074357 : Epoch  2, Batch    550, Loss  0.642506, Average Loss  0.625482, Time  0.222053
2021-09-21 18:08:12.548915 : Epoch  2, Batch    551, Loss  0.630267, Average Loss  0.625455, Time  0.221524
2021-09-21 18:08:14.014891 : Epoch  2, Batch    552, Loss  0.631339, Average Loss  0.625513, Time  0.221979
2021-09-21 18:08:15.499781 : Epoch  2, Batch    553, Loss  0.626168, Average Loss  0.625580, Time  0.221861
2021-09-21 18:08:16.969674 : Epoch  2, Batch    554, Loss  0.627646, Average Loss  0.625588, Time  0.221520
2021-09-21 18:08:18.437941 : Epoch  2, Batch    555, Loss  0.623425, Average Loss  0.625624, Time  0.221621
2021-09-21 18:08:19.899263 : Epoch  2, Batch    556, Loss  0.631304, Average Loss  0.625647, Time  0.221292
2021-09-21 18:08:21.357013 : Epoch  2, Batch    557, Loss  0.610529, Average Loss  0.625651, Time  0.221118
2021-09-21 18:08:22.821969 : Epoch  2, Batch    558, Loss  0.615493, Average Loss  0.625582, Time  0.221153
2021-09-21 18:08:24.293941 : Epoch  2, Batch    559, Loss  0.621039, Average Loss  0.625564, Time  0.221091
2021-09-21 18:08:25.756960 : Epoch  2, Batch    560, Loss  0.623511, Average Loss  0.625559, Time  0.221097
2021-09-21 18:08:27.223111 : Epoch  2, Batch    561, Loss  0.626753, Average Loss  0.625565, Time  0.221039
2021-09-21 18:08:28.693778 : Epoch  2, Batch    562, Loss  0.619405, Average Loss  0.625531, Time  0.221313
2021-09-21 18:08:30.150365 : Epoch  2, Batch    563, Loss  0.624726, Average Loss  0.625591, Time  0.221092
2021-09-21 18:08:31.613911 : Epoch  2, Batch    564, Loss  0.629257, Average Loss  0.625594, Time  0.221248
2021-09-21 18:08:33.077139 : Epoch  2, Batch    565, Loss  0.629820, Average Loss  0.625634, Time  0.221157
2021-09-21 18:08:34.539919 : Epoch  2, Batch    566, Loss  0.629042, Average Loss  0.625684, Time  0.220962
2021-09-21 18:08:35.994260 : Epoch  2, Batch    567, Loss  0.627711, Average Loss  0.625733, Time  0.221571
2021-09-21 18:08:37.455087 : Epoch  2, Batch    568, Loss  0.615493, Average Loss  0.625697, Time  0.221300
2021-09-21 18:08:38.912294 : Epoch  2, Batch    569, Loss  0.614896, Average Loss  0.625672, Time  0.221348
2021-09-21 18:08:40.401936 : Epoch  2, Batch    570, Loss  0.619458, Average Loss  0.625670, Time  0.221460
2021-09-21 18:08:41.862104 : Epoch  2, Batch    571, Loss  0.625360, Average Loss  0.625727, Time  0.221092
2021-09-21 18:08:43.340874 : Epoch  2, Batch    572, Loss  0.627555, Average Loss  0.625761, Time  0.221260
2021-09-21 18:08:44.824933 : Epoch  2, Batch    573, Loss  0.625216, Average Loss  0.625720, Time  0.221401
2021-09-21 18:08:46.295984 : Epoch  2, Batch    574, Loss  0.619081, Average Loss  0.625675, Time  0.221458
2021-09-21 18:08:47.752963 : Epoch  2, Batch    575, Loss  0.620914, Average Loss  0.625677, Time  0.221546
2021-09-21 18:08:49.214117 : Epoch  2, Batch    576, Loss  0.619058, Average Loss  0.625632, Time  0.221286
2021-09-21 18:08:50.684113 : Epoch  2, Batch    577, Loss  0.613324, Average Loss  0.625588, Time  0.221054
2021-09-21 18:08:52.149157 : Epoch  2, Batch    578, Loss  0.621019, Average Loss  0.625619, Time  0.222716
2021-09-21 18:08:53.618109 : Epoch  2, Batch    579, Loss  0.627825, Average Loss  0.625663, Time  0.221508
2021-09-21 18:08:55.092139 : Epoch  2, Batch    580, Loss  0.632580, Average Loss  0.625751, Time  0.220991
2021-09-21 18:08:56.566832 : Epoch  2, Batch    581, Loss  0.619812, Average Loss  0.625824, Time  0.221262
2021-09-21 18:08:58.036711 : Epoch  2, Batch    582, Loss  0.612749, Average Loss  0.625738, Time  0.222117
2021-09-21 18:08:59.497747 : Epoch  2, Batch    583, Loss  0.632977, Average Loss  0.625810, Time  0.221684
2021-09-21 18:09:03.338275 : Epoch  2, Batch    584, Loss  0.630724, Average Loss  0.625878, Time  0.254408
2021-09-21 18:09:04.798121 : Epoch  2, Batch    585, Loss  0.621828, Average Loss  0.625910, Time  0.227936
2021-09-21 18:09:06.251924 : Epoch  2, Batch    586, Loss  0.622949, Average Loss  0.625933, Time  0.221028
2021-09-21 18:09:07.698182 : Epoch  2, Batch    587, Loss  0.624700, Average Loss  0.625943, Time  0.221239
2021-09-21 18:09:09.153148 : Epoch  2, Batch    588, Loss  0.632040, Average Loss  0.625960, Time  0.222186
2021-09-21 18:09:10.608702 : Epoch  2, Batch    589, Loss  0.620951, Average Loss  0.625911, Time  0.221463
2021-09-21 18:09:12.063100 : Epoch  2, Batch    590, Loss  0.617617, Average Loss  0.625879, Time  0.221192
2021-09-21 18:09:13.510899 : Epoch  2, Batch    591, Loss  0.633721, Average Loss  0.625905, Time  0.221365
2021-09-21 18:09:14.983898 : Epoch  2, Batch    592, Loss  0.622689, Average Loss  0.625901, Time  0.221141
2021-09-21 18:09:16.431950 : Epoch  2, Batch    593, Loss  0.615666, Average Loss  0.625801, Time  0.221520
2021-09-21 18:09:17.881276 : Epoch  2, Batch    594, Loss  0.616681, Average Loss  0.625774, Time  0.221350
2021-09-21 18:09:19.341274 : Epoch  2, Batch    595, Loss  0.625000, Average Loss  0.625788, Time  0.221680
2021-09-21 18:09:20.794547 : Epoch  2, Batch    596, Loss  0.616717, Average Loss  0.625815, Time  0.221397
2021-09-21 18:09:22.250847 : Epoch  2, Batch    597, Loss  0.613318, Average Loss  0.625766, Time  0.221235
2021-09-21 18:09:23.699851 : Epoch  2, Batch    598, Loss  0.626491, Average Loss  0.625813, Time  0.221221
2021-09-21 18:09:25.144843 : Epoch  2, Batch    599, Loss  0.622546, Average Loss  0.625785, Time  0.221453
2021-09-21 18:09:26.597131 : Epoch  2, Batch    600, Loss  0.630538, Average Loss  0.625830, Time  0.221328
2021-09-21 18:09:28.048132 : Epoch  2, Batch    601, Loss  0.620798, Average Loss  0.625771, Time  0.221723
2021-09-21 18:09:29.505933 : Epoch  2, Batch    602, Loss  0.610835, Average Loss  0.625698, Time  0.221261
2021-09-21 18:09:30.959109 : Epoch  2, Batch    603, Loss  0.617108, Average Loss  0.625696, Time  0.221380
2021-09-21 18:09:32.419932 : Epoch  2, Batch    604, Loss  0.617557, Average Loss  0.625624, Time  0.221149
2021-09-21 18:09:33.875915 : Epoch  2, Batch    605, Loss  0.620529, Average Loss  0.625573, Time  0.221628
2021-09-21 18:09:35.347876 : Epoch  2, Batch    606, Loss  0.620224, Average Loss  0.625506, Time  0.221679
2021-09-21 18:09:36.804986 : Epoch  2, Batch    607, Loss  0.621160, Average Loss  0.625525, Time  0.221356
2021-09-21 18:09:38.265876 : Epoch  2, Batch    608, Loss  0.615105, Average Loss  0.625487, Time  0.225092
2021-09-21 18:09:39.737117 : Epoch  2, Batch    609, Loss  0.623073, Average Loss  0.625506, Time  0.221417
2021-09-21 18:09:41.196866 : Epoch  2, Batch    610, Loss  0.627903, Average Loss  0.625606, Time  0.221179
2021-09-21 18:09:42.655690 : Epoch  2, Batch    611, Loss  0.618716, Average Loss  0.625582, Time  0.221457
2021-09-21 18:09:44.113920 : Epoch  2, Batch    612, Loss  0.618049, Average Loss  0.625516, Time  0.221944
2021-09-21 18:09:45.585769 : Epoch  2, Batch    613, Loss  0.624172, Average Loss  0.625527, Time  0.220983
2021-09-21 18:10:40.361679 : CheckPoint: Validation Loss  0.00025954, Best Loss  0.00025954
2021-09-21 18:10:40.406549 : Best Model Updated
2021-09-21 18:10:42.417024 : Epoch  2, Batch    614, Loss  0.624183, Average Loss  0.625518, Time  0.221555
2021-09-21 18:10:43.874113 : Epoch  2, Batch    615, Loss  0.621166, Average Loss  0.625501, Time  0.221426
2021-09-21 18:10:45.340159 : Epoch  2, Batch    616, Loss  0.617780, Average Loss  0.625470, Time  0.221555
2021-09-21 18:10:46.801686 : Epoch  2, Batch    617, Loss  0.620369, Average Loss  0.625456, Time  0.221483
2021-09-21 18:10:48.258205 : Epoch  2, Batch    618, Loss  0.620840, Average Loss  0.625454, Time  0.222843
2021-09-21 18:10:49.715802 : Epoch  2, Batch    619, Loss  0.610834, Average Loss  0.625367, Time  0.221969
2021-09-21 18:10:51.169025 : Epoch  2, Batch    620, Loss  0.619922, Average Loss  0.625347, Time  0.221244
2021-09-21 18:10:52.626156 : Epoch  2, Batch    621, Loss  0.618182, Average Loss  0.625285, Time  0.221178
2021-09-21 18:10:54.082920 : Epoch  2, Batch    622, Loss  0.629414, Average Loss  0.625305, Time  0.222349
2021-09-21 18:10:55.539988 : Epoch  2, Batch    623, Loss  0.628286, Average Loss  0.625370, Time  0.221699
2021-09-21 18:10:56.995271 : Epoch  2, Batch    624, Loss  0.621003, Average Loss  0.625343, Time  0.221116
2021-09-21 18:10:58.446901 : Epoch  2, Batch    625, Loss  0.623164, Average Loss  0.625366, Time  0.221290
2021-09-21 18:10:59.909097 : Epoch  2, Batch    626, Loss  0.629406, Average Loss  0.625393, Time  0.220916
2021-09-21 18:11:01.355084 : Epoch  2, Batch    627, Loss  0.616050, Average Loss  0.625421, Time  0.221176
2021-09-21 18:11:02.803715 : Epoch  2, Batch    628, Loss  0.625667, Average Loss  0.625432, Time  0.221607
2021-09-21 18:11:04.256875 : Epoch  2, Batch    629, Loss  0.614049, Average Loss  0.625365, Time  0.221285
2021-09-21 18:11:05.711690 : Epoch  2, Batch    630, Loss  0.621107, Average Loss  0.625347, Time  0.221122
2021-09-21 18:11:07.162732 : Epoch  2, Batch    631, Loss  0.616418, Average Loss  0.625327, Time  0.221434
2021-09-21 18:11:08.616855 : Epoch  2, Batch    632, Loss  0.626239, Average Loss  0.625374, Time  0.220946
2021-09-21 18:11:10.062912 : Epoch  2, Batch    633, Loss  0.615924, Average Loss  0.625361, Time  0.221318
2021-09-21 18:11:11.539657 : Epoch  2, Batch    634, Loss  0.628715, Average Loss  0.625405, Time  0.222677
2021-09-21 18:11:13.007086 : Epoch  2, Batch    635, Loss  0.620291, Average Loss  0.625384, Time  0.221475
2021-09-21 18:11:14.447925 : Epoch  2, Batch    636, Loss  0.613214, Average Loss  0.625372, Time  0.221037
2021-09-21 18:11:15.921085 : Epoch  2, Batch    637, Loss  0.619046, Average Loss  0.625854, Time  0.221863
2021-09-21 18:11:17.372095 : Epoch  2, Batch    638, Loss  0.620590, Average Loss  0.625794, Time  0.221826
2021-09-21 18:11:18.844968 : Epoch  2, Batch    639, Loss  0.619066, Average Loss  0.625726, Time  0.221563
2021-09-21 18:11:20.290106 : Epoch  2, Batch    640, Loss  0.600569, Average Loss  0.625496, Time  0.220868
2021-09-21 18:11:21.759757 : Epoch  2, Batch    641, Loss  0.624804, Average Loss  0.625351, Time  0.221193
2021-09-21 18:11:23.224768 : Epoch  2, Batch    642, Loss  0.618652, Average Loss  0.625232, Time  0.221827
2021-09-21 18:11:24.682239 : Epoch  2, Batch    643, Loss  0.628296, Average Loss  0.625223, Time  0.221304
2021-09-21 18:11:26.145129 : Epoch  2, Batch    644, Loss  0.619461, Average Loss  0.625168, Time  0.221584
2021-09-21 18:11:27.612729 : Epoch  2, Batch    645, Loss  0.615718, Average Loss  0.625063, Time  0.221408
2021-09-21 18:11:29.062827 : Epoch  2, Batch    646, Loss  0.623911, Average Loss  0.624962, Time  0.221494
2021-09-21 18:11:30.515150 : Epoch  2, Batch    647, Loss  0.623487, Average Loss  0.624907, Time  0.221893
2021-09-21 18:11:31.997916 : Epoch  2, Batch    648, Loss  0.615844, Average Loss  0.624818, Time  0.220998
2021-09-21 18:11:33.447905 : Epoch  2, Batch    649, Loss  0.626291, Average Loss  0.624791, Time  0.221287
2021-09-21 18:11:34.897973 : Epoch  2, Batch    650, Loss  0.625244, Average Loss  0.624762, Time  0.221315
2021-09-21 18:11:36.354765 : Epoch  2, Batch    651, Loss  0.620258, Average Loss  0.624684, Time  0.221319
2021-09-21 18:11:37.805836 : Epoch  2, Batch    652, Loss  0.619872, Average Loss  0.624585, Time  0.221469
2021-09-21 18:11:39.263032 : Epoch  2, Batch    653, Loss  0.626246, Average Loss  0.624521, Time  0.221713
2021-09-21 18:11:40.729910 : Epoch  2, Batch    654, Loss  0.614771, Average Loss  0.624437, Time  0.221215
2021-09-21 18:11:42.186001 : Epoch  2, Batch    655, Loss  0.629976, Average Loss  0.624431, Time  0.221217
2021-09-21 18:11:43.644103 : Epoch  2, Batch    656, Loss  0.617500, Average Loss  0.624344, Time  0.220942
2021-09-21 18:11:45.101874 : Epoch  2, Batch    657, Loss  0.621822, Average Loss  0.624258, Time  0.222146
2021-09-21 18:11:46.550785 : Epoch  2, Batch    658, Loss  0.620929, Average Loss  0.624177, Time  0.221047
2021-09-21 18:11:48.005105 : Epoch  2, Batch    659, Loss  0.625175, Average Loss  0.624157, Time  0.221218
2021-09-21 18:11:49.462014 : Epoch  2, Batch    660, Loss  0.617703, Average Loss  0.624084, Time  0.221684
2021-09-21 18:11:50.943933 : Epoch  2, Batch    661, Loss  0.619271, Average Loss  0.624014, Time  0.221199
2021-09-21 18:11:52.400900 : Epoch  2, Batch    662, Loss  0.614179, Average Loss  0.623933, Time  0.221237
2021-09-21 18:11:53.854109 : Epoch  2, Batch    663, Loss  0.622870, Average Loss  0.623869, Time  0.221000
2021-09-21 18:11:55.306898 : Epoch  2, Batch    664, Loss  0.611508, Average Loss  0.623786, Time  0.220901
2021-09-21 18:11:56.763705 : Epoch  2, Batch    665, Loss  0.621551, Average Loss  0.623712, Time  0.221449
2021-09-21 18:11:58.212973 : Epoch  2, Batch    666, Loss  0.627838, Average Loss  0.623738, Time  0.220994
2021-09-21 18:11:59.669760 : Epoch  2, Batch    667, Loss  0.621852, Average Loss  0.623705, Time  0.221438
2021-09-21 18:12:01.122756 : Epoch  2, Batch    668, Loss  0.629466, Average Loss  0.623719, Time  0.221684
2021-09-21 18:12:02.574171 : Epoch  2, Batch    669, Loss  0.609104, Average Loss  0.623579, Time  0.221174
2021-09-21 18:12:04.028897 : Epoch  2, Batch    670, Loss  0.627358, Average Loss  0.623665, Time  0.221288
2021-09-21 18:12:05.471900 : Epoch  2, Batch    671, Loss  0.620542, Average Loss  0.623629, Time  0.221274
2021-09-21 18:12:06.928700 : Epoch  2, Batch    672, Loss  0.615996, Average Loss  0.623586, Time  0.221242
2021-09-21 18:12:08.372968 : Epoch  2, Batch    673, Loss  0.620874, Average Loss  0.623555, Time  0.220999
2021-09-21 18:12:09.827968 : Epoch  2, Batch    674, Loss  0.616442, Average Loss  0.623415, Time  0.221316
2021-09-21 18:12:11.290848 : Epoch  2, Batch    675, Loss  0.613122, Average Loss  0.623268, Time  0.221417
2021-09-21 18:12:12.736990 : Epoch  2, Batch    676, Loss  0.613948, Average Loss  0.623150, Time  0.221082
2021-09-21 18:12:14.206872 : Epoch  2, Batch    677, Loss  0.617681, Average Loss  0.623084, Time  0.221786
2021-09-21 18:12:15.678876 : Epoch  2, Batch    678, Loss  0.626912, Average Loss  0.623118, Time  0.221146
2021-09-21 18:12:17.150732 : Epoch  2, Batch    679, Loss  0.629032, Average Loss  0.623114, Time  0.221115
2021-09-21 18:12:18.605689 : Epoch  2, Batch    680, Loss  0.622101, Average Loss  0.623065, Time  0.221427
2021-09-21 18:12:20.068113 : Epoch  2, Batch    681, Loss  0.620846, Average Loss  0.623039, Time  0.221403
2021-09-21 18:12:21.519688 : Epoch  2, Batch    682, Loss  0.635511, Average Loss  0.623033, Time  0.221234
2021-09-21 18:12:22.992939 : Epoch  2, Batch    683, Loss  0.623107, Average Loss  0.623027, Time  0.221517
2021-09-21 18:12:26.742544 : Epoch  2, Batch    684, Loss  0.624539, Average Loss  0.623048, Time  0.241737
2021-09-21 18:12:28.206955 : Epoch  2, Batch    685, Loss  0.616720, Average Loss  0.622972, Time  0.221731
2021-09-21 18:12:29.667936 : Epoch  2, Batch    686, Loss  0.621422, Average Loss  0.622975, Time  0.221366
2021-09-21 18:12:31.122706 : Epoch  2, Batch    687, Loss  0.624606, Average Loss  0.622915, Time  0.221114
2021-09-21 18:12:32.573882 : Epoch  2, Batch    688, Loss  0.625269, Average Loss  0.622913, Time  0.221405
2021-09-21 18:12:34.031724 : Epoch  2, Batch    689, Loss  0.626680, Average Loss  0.622891, Time  0.221191
2021-09-21 18:12:35.499113 : Epoch  2, Batch    690, Loss  0.629495, Average Loss  0.622927, Time  0.221262
2021-09-21 18:12:36.954128 : Epoch  2, Batch    691, Loss  0.608033, Average Loss  0.622801, Time  0.221157
2021-09-21 18:12:38.416771 : Epoch  2, Batch    692, Loss  0.618422, Average Loss  0.622805, Time  0.221406
2021-09-21 18:12:39.889719 : Epoch  2, Batch    693, Loss  0.614143, Average Loss  0.622748, Time  0.222751
2021-09-21 18:12:41.365916 : Epoch  2, Batch    694, Loss  0.621941, Average Loss  0.622771, Time  0.221100
2021-09-21 18:12:42.818781 : Epoch  2, Batch    695, Loss  0.617733, Average Loss  0.622728, Time  0.221526
2021-09-21 18:12:44.282192 : Epoch  2, Batch    696, Loss  0.622083, Average Loss  0.622694, Time  0.221648
2021-09-21 18:12:45.746964 : Epoch  2, Batch    697, Loss  0.620815, Average Loss  0.622690, Time  0.221288
2021-09-21 18:12:47.220107 : Epoch  2, Batch    698, Loss  0.618665, Average Loss  0.622588, Time  0.221422
2021-09-21 18:12:48.677956 : Epoch  2, Batch    699, Loss  0.618825, Average Loss  0.622537, Time  0.221556
2021-09-21 18:12:50.137937 : Epoch  2, Batch    700, Loss  0.625737, Average Loss  0.622515, Time  0.220762
2021-09-21 18:12:51.593895 : Epoch  2, Batch    701, Loss  0.620129, Average Loss  0.622430, Time  0.221509
2021-09-21 18:12:53.048922 : Epoch  2, Batch    702, Loss  0.615986, Average Loss  0.622337, Time  0.221142
2021-09-21 18:12:54.501098 : Epoch  2, Batch    703, Loss  0.617267, Average Loss  0.622270, Time  0.221170
2021-09-21 18:12:55.949783 : Epoch  2, Batch    704, Loss  0.631597, Average Loss  0.622319, Time  0.221302
2021-09-21 18:12:57.402910 : Epoch  2, Batch    705, Loss  0.608586, Average Loss  0.622217, Time  0.221094
2021-09-21 18:12:58.859717 : Epoch  2, Batch    706, Loss  0.625636, Average Loss  0.622230, Time  0.220978
2021-09-21 18:13:00.310946 : Epoch  2, Batch    707, Loss  0.614727, Average Loss  0.622112, Time  0.221569
2021-09-21 18:13:01.762947 : Epoch  2, Batch    708, Loss  0.619285, Average Loss  0.622036, Time  0.221209
2021-09-21 18:13:03.214795 : Epoch  2, Batch    709, Loss  0.619477, Average Loss  0.621981, Time  0.221205
2021-09-21 18:13:04.684686 : Epoch  2, Batch    710, Loss  0.623871, Average Loss  0.622037, Time  0.221285
2021-09-21 18:13:06.231919 : Epoch  2, Batch    711, Loss  0.621423, Average Loss  0.621975, Time  0.221124
2021-09-21 18:13:07.683929 : Epoch  2, Batch    712, Loss  0.609197, Average Loss  0.621879, Time  0.221124
2021-09-21 18:13:09.141967 : Epoch  2, Batch    713, Loss  0.627923, Average Loss  0.621925, Time  0.221391
2021-09-21 18:14:03.732689 : CheckPoint: Validation Loss  0.00026503, Best Loss  0.00025954
2021-09-21 18:14:05.185745 : Epoch  2, Batch    714, Loss  0.618972, Average Loss  0.621917, Time  0.221646
2021-09-21 18:14:06.646937 : Epoch  2, Batch    715, Loss  0.628925, Average Loss  0.621977, Time  0.222175
2021-09-21 18:14:08.101896 : Epoch  2, Batch    716, Loss  0.623336, Average Loss  0.622012, Time  0.221296
2021-09-21 18:14:09.551949 : Epoch  2, Batch    717, Loss  0.619635, Average Loss  0.621913, Time  0.221336
2021-09-21 18:14:11.012745 : Epoch  2, Batch    718, Loss  0.623114, Average Loss  0.621886, Time  0.221447
2021-09-21 18:14:12.476690 : Epoch  2, Batch    719, Loss  0.618137, Average Loss  0.621871, Time  0.221569
2021-09-21 18:14:13.961964 : Epoch  2, Batch    720, Loss  0.631069, Average Loss  0.621860, Time  0.221579
2021-09-21 18:14:15.422771 : Epoch  2, Batch    721, Loss  0.614584, Average Loss  0.621880, Time  0.222782
2021-09-21 18:14:16.903855 : Epoch  2, Batch    722, Loss  0.612906, Average Loss  0.621837, Time  0.221616
2021-09-21 18:14:18.369987 : Epoch  2, Batch    723, Loss  0.624542, Average Loss  0.621790, Time  0.222320
2021-09-21 18:14:19.826951 : Epoch  2, Batch    724, Loss  0.610583, Average Loss  0.621731, Time  0.221631
2021-09-21 18:14:21.286886 : Epoch  2, Batch    725, Loss  0.621985, Average Loss  0.621757, Time  0.222480
2021-09-21 18:14:22.747614 : Epoch  2, Batch    726, Loss  0.621615, Average Loss  0.621735, Time  0.221292
2021-09-21 18:14:24.203934 : Epoch  2, Batch    727, Loss  0.615159, Average Loss  0.621719, Time  0.221855
2021-09-21 18:14:25.658039 : Epoch  2, Batch    728, Loss  0.622185, Average Loss  0.621649, Time  0.221665
2021-09-21 18:14:27.102419 : Epoch  2, Batch    729, Loss  0.617564, Average Loss  0.621595, Time  0.221712
2021-09-21 18:14:28.556114 : Epoch  2, Batch    730, Loss  0.619794, Average Loss  0.621539, Time  0.221167
2021-09-21 18:14:30.023896 : Epoch  2, Batch    731, Loss  0.619040, Average Loss  0.621509, Time  0.221542
2021-09-21 18:14:31.486940 : Epoch  2, Batch    732, Loss  0.614999, Average Loss  0.621486, Time  0.221581
2021-09-21 18:14:32.944936 : Epoch  2, Batch    733, Loss  0.629121, Average Loss  0.621532, Time  0.221230
2021-09-21 18:14:34.399802 : Epoch  2, Batch    734, Loss  0.613642, Average Loss  0.621486, Time  0.221194
2021-09-21 18:14:35.859993 : Epoch  2, Batch    735, Loss  0.614310, Average Loss  0.621483, Time  0.221833
2021-09-21 18:14:37.312952 : Epoch  2, Batch    736, Loss  0.606141, Average Loss  0.621389, Time  0.222037
2021-09-21 18:14:38.766710 : Epoch  2, Batch    737, Loss  0.615876, Average Loss  0.621350, Time  0.221600
2021-09-21 18:14:40.219926 : Epoch  2, Batch    738, Loss  0.627112, Average Loss  0.621349, Time  0.221006
2021-09-21 18:14:41.681935 : Epoch  2, Batch    739, Loss  0.616530, Average Loss  0.621323, Time  0.221728
2021-09-21 18:14:43.133106 : Epoch  2, Batch    740, Loss  0.616066, Average Loss  0.621274, Time  0.221298
2021-09-21 18:14:44.579590 : Epoch  2, Batch    741, Loss  0.615257, Average Loss  0.621212, Time  0.221551
2021-09-21 18:14:46.026916 : Epoch  2, Batch    742, Loss  0.617480, Average Loss  0.621129, Time  0.221237
2021-09-21 18:14:47.489220 : Epoch  2, Batch    743, Loss  0.616978, Average Loss  0.621124, Time  0.221968
2021-09-21 18:14:48.945364 : Epoch  2, Batch    744, Loss  0.616036, Average Loss  0.621055, Time  0.221116
2021-09-21 18:14:50.399116 : Epoch  2, Batch    745, Loss  0.625584, Average Loss  0.621067, Time  0.221780
2021-09-21 18:14:51.849978 : Epoch  2, Batch    746, Loss  0.615152, Average Loss  0.621131, Time  0.221263
2021-09-21 18:14:53.310490 : Epoch  2, Batch    747, Loss  0.619688, Average Loss  0.621128, Time  0.221189
2021-09-21 18:14:54.768137 : Epoch  2, Batch    748, Loss  0.613434, Average Loss  0.621136, Time  0.221259
2021-09-21 18:14:56.217718 : Epoch  2, Batch    749, Loss  0.613009, Average Loss  0.621025, Time  0.221179
2021-09-21 18:14:57.672431 : Epoch  2, Batch    750, Loss  0.624790, Average Loss  0.620937, Time  0.222010
2021-09-21 18:14:59.141673 : Epoch  2, Batch    751, Loss  0.620728, Average Loss  0.620889, Time  0.222592
2021-09-21 18:15:00.611683 : Epoch  2, Batch    752, Loss  0.622821, Average Loss  0.620846, Time  0.221252
2021-09-21 18:15:02.066945 : Epoch  2, Batch    753, Loss  0.623909, Average Loss  0.620835, Time  0.221656
2021-09-21 18:15:03.527053 : Epoch  2, Batch    754, Loss  0.619156, Average Loss  0.620793, Time  0.221448
2021-09-21 18:15:05.004767 : Epoch  2, Batch    755, Loss  0.616589, Average Loss  0.620758, Time  0.221254
2021-09-21 18:15:06.459102 : Epoch  2, Batch    756, Loss  0.610964, Average Loss  0.620657, Time  0.221327
2021-09-21 18:15:07.951542 : Epoch  2, Batch    757, Loss  0.620158, Average Loss  0.620705, Time  0.221397
2021-09-21 18:15:09.425931 : Epoch  2, Batch    758, Loss  0.621607, Average Loss  0.620735, Time  0.222460
2021-09-21 18:15:10.881102 : Epoch  2, Batch    759, Loss  0.625531, Average Loss  0.620758, Time  0.222236
2021-09-21 18:15:12.346007 : Epoch  2, Batch    760, Loss  0.621554, Average Loss  0.620748, Time  0.221613
2021-09-21 18:15:13.794964 : Epoch  2, Batch    761, Loss  0.616647, Average Loss  0.620698, Time  0.221422
2021-09-21 18:15:15.258784 : Epoch  2, Batch    762, Loss  0.618011, Average Loss  0.620691, Time  0.221078
2021-09-21 18:15:16.713969 : Epoch  2, Batch    763, Loss  0.617166, Average Loss  0.620653, Time  0.221517
2021-09-21 18:15:18.165123 : Epoch  2, Batch    764, Loss  0.618058, Average Loss  0.620597, Time  0.221012
2021-09-21 18:15:19.627036 : Epoch  2, Batch    765, Loss  0.608288, Average Loss  0.620489, Time  0.221483
2021-09-21 18:15:21.081826 : Epoch  2, Batch    766, Loss  0.622654, Average Loss  0.620457, Time  0.221183
2021-09-21 18:15:22.533732 : Epoch  2, Batch    767, Loss  0.617931, Average Loss  0.620408, Time  0.221238
2021-09-21 18:15:23.996712 : Epoch  2, Batch    768, Loss  0.625952, Average Loss  0.620461, Time  0.221583
2021-09-21 18:15:25.453826 : Epoch  2, Batch    769, Loss  0.623518, Average Loss  0.620504, Time  0.221215
2021-09-21 18:15:26.901918 : Epoch  2, Batch    770, Loss  0.621461, Average Loss  0.620514, Time  0.221255
2021-09-21 18:15:28.362942 : Epoch  2, Batch    771, Loss  0.630506, Average Loss  0.620539, Time  0.221247
2021-09-21 18:15:29.815898 : Epoch  2, Batch    772, Loss  0.622988, Average Loss  0.620517, Time  0.221436
2021-09-21 18:15:31.264912 : Epoch  2, Batch    773, Loss  0.616880, Average Loss  0.620475, Time  0.221330
2021-09-21 18:15:32.714964 : Epoch  2, Batch    774, Loss  0.620066, Average Loss  0.620480, Time  0.221103
2021-09-21 18:15:34.169890 : Epoch  2, Batch    775, Loss  0.630424, Average Loss  0.620527, Time  0.221220
2021-09-21 18:15:35.630713 : Epoch  2, Batch    776, Loss  0.618840, Average Loss  0.620526, Time  0.221187
2021-09-21 18:15:37.083935 : Epoch  2, Batch    777, Loss  0.612788, Average Loss  0.620524, Time  0.221284
2021-09-21 18:15:38.538050 : Epoch  2, Batch    778, Loss  0.616715, Average Loss  0.620502, Time  0.221960
2021-09-21 18:15:39.999923 : Epoch  2, Batch    779, Loss  0.622967, Average Loss  0.620478, Time  0.221237
2021-09-21 18:15:41.462975 : Epoch  2, Batch    780, Loss  0.626328, Average Loss  0.620446, Time  0.221285
2021-09-21 18:15:42.913799 : Epoch  2, Batch    781, Loss  0.617412, Average Loss  0.620434, Time  0.221190
2021-09-21 18:15:44.380877 : Epoch  2, Batch    782, Loss  0.615141, Average Loss  0.620446, Time  0.221074
2021-09-21 18:15:45.832941 : Epoch  2, Batch    783, Loss  0.618296, Average Loss  0.620373, Time  0.221839
2021-09-21 18:15:49.628035 : Epoch  2, Batch    784, Loss  0.611862, Average Loss  0.620279, Time  0.261425
2021-09-21 18:15:51.081776 : Epoch  2, Batch    785, Loss  0.624559, Average Loss  0.620292, Time  0.230350
2021-09-21 18:15:52.531720 : Epoch  2, Batch    786, Loss  0.616634, Average Loss  0.620261, Time  0.221126
2021-09-21 18:15:53.976116 : Epoch  2, Batch    787, Loss  0.611612, Average Loss  0.620195, Time  0.221388
2021-09-21 18:15:53.999752 : Saving Model after 2-th Epoch.
2021-09-21 18:15:54.656804 : Epoch Finished.
2021-09-21 18:15:56.721772 : Batch Shuffled
2021-09-21 18:15:58.173754 : Epoch  3, Batch      1, Loss  0.619494, Average Loss  0.620133, Time  0.221325
2021-09-21 18:15:59.629879 : Epoch  3, Batch      2, Loss  0.621834, Average Loss  0.620137, Time  0.221434
2021-09-21 18:16:01.062743 : Epoch  3, Batch      3, Loss  0.608835, Average Loss  0.620093, Time  0.221135
2021-09-21 18:16:02.502894 : Epoch  3, Batch      4, Loss  0.618772, Average Loss  0.620018, Time  0.221656
2021-09-21 18:16:03.946969 : Epoch  3, Batch      5, Loss  0.614950, Average Loss  0.619980, Time  0.221202
2021-09-21 18:16:05.393692 : Epoch  3, Batch      6, Loss  0.624908, Average Loss  0.620026, Time  0.221370
2021-09-21 18:16:06.840876 : Epoch  3, Batch      7, Loss  0.611749, Average Loss  0.620001, Time  0.221455
2021-09-21 18:16:08.278121 : Epoch  3, Batch      8, Loss  0.606177, Average Loss  0.619907, Time  0.221320
2021-09-21 18:16:09.726754 : Epoch  3, Batch      9, Loss  0.607564, Average Loss  0.619861, Time  0.221091
2021-09-21 18:16:11.181746 : Epoch  3, Batch     10, Loss  0.613205, Average Loss  0.619861, Time  0.221223
2021-09-21 18:16:12.629879 : Epoch  3, Batch     11, Loss  0.619395, Average Loss  0.619825, Time  0.221335
2021-09-21 18:16:14.084106 : Epoch  3, Batch     12, Loss  0.618004, Average Loss  0.619803, Time  0.221162
2021-09-21 18:16:15.542400 : Epoch  3, Batch     13, Loss  0.624068, Average Loss  0.619770, Time  0.221495
2021-09-21 18:16:16.994905 : Epoch  3, Batch     14, Loss  0.622235, Average Loss  0.619777, Time  0.221174
2021-09-21 18:16:18.457839 : Epoch  3, Batch     15, Loss  0.620380, Average Loss  0.619825, Time  0.221241
2021-09-21 18:16:19.910942 : Epoch  3, Batch     16, Loss  0.619994, Average Loss  0.619840, Time  0.221456
2021-09-21 18:16:21.357960 : Epoch  3, Batch     17, Loss  0.608502, Average Loss  0.619794, Time  0.221163
2021-09-21 18:16:22.806870 : Epoch  3, Batch     18, Loss  0.610913, Average Loss  0.619746, Time  0.221305
2021-09-21 18:16:24.265897 : Epoch  3, Batch     19, Loss  0.619602, Average Loss  0.619743, Time  0.221178
2021-09-21 18:16:25.713271 : Epoch  3, Batch     20, Loss  0.622884, Average Loss  0.619752, Time  0.221292
2021-09-21 18:16:27.172905 : Epoch  3, Batch     21, Loss  0.623892, Average Loss  0.619796, Time  0.221326
2021-09-21 18:16:28.635724 : Epoch  3, Batch     22, Loss  0.616666, Average Loss  0.619764, Time  0.221267
2021-09-21 18:16:30.088944 : Epoch  3, Batch     23, Loss  0.614549, Average Loss  0.619697, Time  0.221418
2021-09-21 18:16:31.547982 : Epoch  3, Batch     24, Loss  0.621236, Average Loss  0.619709, Time  0.221509
2021-09-21 18:16:33.009933 : Epoch  3, Batch     25, Loss  0.616903, Average Loss  0.619704, Time  0.221124
2021-09-21 18:16:34.463090 : Epoch  3, Batch     26, Loss  0.614190, Average Loss  0.619654, Time  0.221197
2021-09-21 18:17:29.626686 : CheckPoint: Validation Loss  0.00026113, Best Loss  0.00025954
2021-09-21 18:17:31.097973 : Epoch  3, Batch     27, Loss  0.611215, Average Loss  0.619589, Time  0.221569
2021-09-21 18:17:32.554087 : Epoch  3, Batch     28, Loss  0.605308, Average Loss  0.619510, Time  0.221434
2021-09-21 18:17:34.020052 : Epoch  3, Batch     29, Loss  0.602269, Average Loss  0.619432, Time  0.221669
2021-09-21 18:17:35.471199 : Epoch  3, Batch     30, Loss  0.621245, Average Loss  0.619437, Time  0.221882
2021-09-21 18:17:36.925802 : Epoch  3, Batch     31, Loss  0.610478, Average Loss  0.619385, Time  0.221154
2021-09-21 18:17:38.396058 : Epoch  3, Batch     32, Loss  0.623648, Average Loss  0.619449, Time  0.221575
2021-09-21 18:17:39.875928 : Epoch  3, Batch     33, Loss  0.615566, Average Loss  0.619427, Time  0.221283
2021-09-21 18:17:41.335702 : Epoch  3, Batch     34, Loss  0.615669, Average Loss  0.619414, Time  0.221569
2021-09-21 18:17:42.784022 : Epoch  3, Batch     35, Loss  0.624661, Average Loss  0.619391, Time  0.221339
2021-09-21 18:17:44.234192 : Epoch  3, Batch     36, Loss  0.616092, Average Loss  0.619330, Time  0.221113
2021-09-21 18:17:45.693963 : Epoch  3, Batch     37, Loss  0.616521, Average Loss  0.619307, Time  0.221090
2021-09-21 18:17:47.152022 : Epoch  3, Batch     38, Loss  0.629333, Average Loss  0.619338, Time  0.221311
2021-09-21 18:17:48.608821 : Epoch  3, Batch     39, Loss  0.629428, Average Loss  0.619338, Time  0.221041
2021-09-21 18:17:50.070933 : Epoch  3, Batch     40, Loss  0.613989, Average Loss  0.619328, Time  0.221661
2021-09-21 18:17:51.528998 : Epoch  3, Batch     41, Loss  0.618458, Average Loss  0.619292, Time  0.221419
2021-09-21 18:17:52.984964 : Epoch  3, Batch     42, Loss  0.615003, Average Loss  0.619297, Time  0.221336
2021-09-21 18:17:54.436981 : Epoch  3, Batch     43, Loss  0.622876, Average Loss  0.619306, Time  0.221048
2021-09-21 18:17:55.898076 : Epoch  3, Batch     44, Loss  0.612425, Average Loss  0.619286, Time  0.221914
2021-09-21 18:17:57.352936 : Epoch  3, Batch     45, Loss  0.614179, Average Loss  0.619225, Time  0.221111
2021-09-21 18:17:58.823753 : Epoch  3, Batch     46, Loss  0.626316, Average Loss  0.619277, Time  0.221773
2021-09-21 18:18:00.284463 : Epoch  3, Batch     47, Loss  0.620210, Average Loss  0.619235, Time  0.221371
2021-09-21 18:18:01.738773 : Epoch  3, Batch     48, Loss  0.619815, Average Loss  0.619232, Time  0.221107
2021-09-21 18:18:03.208046 : Epoch  3, Batch     49, Loss  0.607511, Average Loss  0.619204, Time  0.221410
2021-09-21 18:18:04.659722 : Epoch  3, Batch     50, Loss  0.622972, Average Loss  0.619223, Time  0.221131
2021-09-21 18:18:06.119021 : Epoch  3, Batch     51, Loss  0.623700, Average Loss  0.619239, Time  0.221009
2021-09-21 18:18:07.575207 : Epoch  3, Batch     52, Loss  0.607057, Average Loss  0.619179, Time  0.221256
2021-09-21 18:18:09.060971 : Epoch  3, Batch     53, Loss  0.620509, Average Loss  0.619279, Time  0.221204
2021-09-21 18:18:10.510787 : Epoch  3, Batch     54, Loss  0.616376, Average Loss  0.619236, Time  0.221163
2021-09-21 18:18:11.973762 : Epoch  3, Batch     55, Loss  0.613582, Average Loss  0.619211, Time  0.220891
2021-09-21 18:18:13.458077 : Epoch  3, Batch     56, Loss  0.622226, Average Loss  0.619181, Time  0.221504
2021-09-21 18:18:14.925691 : Epoch  3, Batch     57, Loss  0.612470, Average Loss  0.619146, Time  0.221276
2021-09-21 18:18:16.390994 : Epoch  3, Batch     58, Loss  0.627673, Average Loss  0.619206, Time  0.221591
2021-09-21 18:18:17.846880 : Epoch  3, Batch     59, Loss  0.606675, Average Loss  0.619119, Time  0.220918
2021-09-21 18:18:19.306934 : Epoch  3, Batch     60, Loss  0.621400, Average Loss  0.619109, Time  0.221388
2021-09-21 18:18:20.765173 : Epoch  3, Batch     61, Loss  0.626338, Average Loss  0.619161, Time  0.221255
2021-09-21 18:18:22.227003 : Epoch  3, Batch     62, Loss  0.618209, Average Loss  0.619121, Time  0.222189
2021-09-21 18:18:23.697757 : Epoch  3, Batch     63, Loss  0.611234, Average Loss  0.619051, Time  0.221151
2021-09-21 18:18:25.167826 : Epoch  3, Batch     64, Loss  0.612137, Average Loss  0.619010, Time  0.221954
2021-09-21 18:18:26.623033 : Epoch  3, Batch     65, Loss  0.612823, Average Loss  0.618975, Time  0.221080
2021-09-21 18:18:28.079928 : Epoch  3, Batch     66, Loss  0.620160, Average Loss  0.618945, Time  0.221139
2021-09-21 18:18:29.537937 : Epoch  3, Batch     67, Loss  0.624310, Average Loss  0.618992, Time  0.221665
2021-09-21 18:18:30.994754 : Epoch  3, Batch     68, Loss  0.616757, Average Loss  0.618926, Time  0.221503
2021-09-21 18:18:32.442749 : Epoch  3, Batch     69, Loss  0.617856, Average Loss  0.618928, Time  0.221397
2021-09-21 18:18:33.891036 : Epoch  3, Batch     70, Loss  0.620711, Average Loss  0.618923, Time  0.221397
2021-09-21 18:18:35.337061 : Epoch  3, Batch     71, Loss  0.626412, Average Loss  0.618950, Time  0.221346
2021-09-21 18:18:36.790761 : Epoch  3, Batch     72, Loss  0.622668, Average Loss  0.618937, Time  0.221542
2021-09-21 18:18:38.254128 : Epoch  3, Batch     73, Loss  0.615267, Average Loss  0.618925, Time  0.221548
2021-09-21 18:18:39.737083 : Epoch  3, Batch     74, Loss  0.625399, Average Loss  0.618956, Time  0.221685
2021-09-21 18:18:41.193203 : Epoch  3, Batch     75, Loss  0.622316, Average Loss  0.618997, Time  0.221103
2021-09-21 18:18:42.633473 : Epoch  3, Batch     76, Loss  0.628965, Average Loss  0.619027, Time  0.221278
2021-09-21 18:18:44.083186 : Epoch  3, Batch     77, Loss  0.611605, Average Loss  0.619028, Time  0.221043
2021-09-21 18:18:45.544943 : Epoch  3, Batch     78, Loss  0.606060, Average Loss  0.618950, Time  0.221153
2021-09-21 18:18:47.005948 : Epoch  3, Batch     79, Loss  0.611086, Average Loss  0.618866, Time  0.221656
2021-09-21 18:18:48.474987 : Epoch  3, Batch     80, Loss  0.622446, Average Loss  0.618869, Time  0.221351
2021-09-21 18:18:49.926041 : Epoch  3, Batch     81, Loss  0.607135, Average Loss  0.618758, Time  0.221483
2021-09-21 18:18:51.386794 : Epoch  3, Batch     82, Loss  0.612884, Average Loss  0.618777, Time  0.221253
2021-09-21 18:18:52.846821 : Epoch  3, Batch     83, Loss  0.605736, Average Loss  0.618668, Time  0.221063
2021-09-21 18:18:54.308792 : Epoch  3, Batch     84, Loss  0.612276, Average Loss  0.618627, Time  0.221583
2021-09-21 18:18:55.775768 : Epoch  3, Batch     85, Loss  0.602535, Average Loss  0.618560, Time  0.221338
2021-09-21 18:18:57.233032 : Epoch  3, Batch     86, Loss  0.619420, Average Loss  0.618552, Time  0.221154
2021-09-21 18:18:58.693851 : Epoch  3, Batch     87, Loss  0.606282, Average Loss  0.618502, Time  0.221212
2021-09-21 18:19:00.149981 : Epoch  3, Batch     88, Loss  0.630814, Average Loss  0.618590, Time  0.221342
2021-09-21 18:19:01.608962 : Epoch  3, Batch     89, Loss  0.606508, Average Loss  0.618553, Time  0.221171
2021-09-21 18:19:03.066759 : Epoch  3, Batch     90, Loss  0.615172, Average Loss  0.618540, Time  0.221522
2021-09-21 18:19:04.515259 : Epoch  3, Batch     91, Loss  0.618932, Average Loss  0.618501, Time  0.221264
2021-09-21 18:19:05.969193 : Epoch  3, Batch     92, Loss  0.618320, Average Loss  0.618447, Time  0.221338
2021-09-21 18:19:07.414272 : Epoch  3, Batch     93, Loss  0.618419, Average Loss  0.618429, Time  0.221215
2021-09-21 18:19:08.853312 : Epoch  3, Batch     94, Loss  0.614029, Average Loss  0.618394, Time  0.221533
2021-09-21 18:19:10.303167 : Epoch  3, Batch     95, Loss  0.614240, Average Loss  0.618288, Time  0.221266
2021-09-21 18:19:11.757195 : Epoch  3, Batch     96, Loss  0.610887, Average Loss  0.618227, Time  0.221232
2021-09-21 18:19:15.556706 : Epoch  3, Batch     97, Loss  0.618769, Average Loss  0.618198, Time  0.254253
2021-09-21 18:19:17.005193 : Epoch  3, Batch     98, Loss  0.612047, Average Loss  0.618175, Time  0.227105
2021-09-21 18:19:18.440928 : Epoch  3, Batch     99, Loss  0.621995, Average Loss  0.618178, Time  0.221131
2021-09-21 18:19:19.898998 : Epoch  3, Batch    100, Loss  0.613845, Average Loss  0.618124, Time  0.222126
2021-09-21 18:19:21.342914 : Epoch  3, Batch    101, Loss  0.622601, Average Loss  0.618111, Time  0.220898
2021-09-21 18:19:22.788956 : Epoch  3, Batch    102, Loss  0.624132, Average Loss  0.618098, Time  0.221820
2021-09-21 18:19:24.230708 : Epoch  3, Batch    103, Loss  0.622819, Average Loss  0.618064, Time  0.221236
2021-09-21 18:19:25.674031 : Epoch  3, Batch    104, Loss  0.628490, Average Loss  0.618167, Time  0.221158
2021-09-21 18:19:27.109684 : Epoch  3, Batch    105, Loss  0.623900, Average Loss  0.618194, Time  0.221328
2021-09-21 18:19:28.556925 : Epoch  3, Batch    106, Loss  0.622111, Average Loss  0.618234, Time  0.221128
2021-09-21 18:19:29.997953 : Epoch  3, Batch    107, Loss  0.616415, Average Loss  0.618206, Time  0.221038
2021-09-21 18:19:31.437701 : Epoch  3, Batch    108, Loss  0.606920, Average Loss  0.618152, Time  0.221629
2021-09-21 18:19:32.879740 : Epoch  3, Batch    109, Loss  0.622722, Average Loss  0.618155, Time  0.221142
2021-09-21 18:19:34.315069 : Epoch  3, Batch    110, Loss  0.614874, Average Loss  0.618126, Time  0.221462
2021-09-21 18:19:35.749340 : Epoch  3, Batch    111, Loss  0.620154, Average Loss  0.618133, Time  0.221232
2021-09-21 18:19:37.193936 : Epoch  3, Batch    112, Loss  0.614405, Average Loss  0.618111, Time  0.221512
2021-09-21 18:19:38.633730 : Epoch  3, Batch    113, Loss  0.604007, Average Loss  0.618002, Time  0.221385
2021-09-21 18:19:40.094922 : Epoch  3, Batch    114, Loss  0.596924, Average Loss  0.617886, Time  0.221645
2021-09-21 18:19:41.538944 : Epoch  3, Batch    115, Loss  0.597868, Average Loss  0.617796, Time  0.221182
2021-09-21 18:19:42.979939 : Epoch  3, Batch    116, Loss  0.628698, Average Loss  0.617853, Time  0.221067
2021-09-21 18:19:44.422006 : Epoch  3, Batch    117, Loss  0.616631, Average Loss  0.617778, Time  0.221434
2021-09-21 18:19:45.868039 : Epoch  3, Batch    118, Loss  0.609587, Average Loss  0.617783, Time  0.221667
2021-09-21 18:19:47.305937 : Epoch  3, Batch    119, Loss  0.619608, Average Loss  0.617753, Time  0.221044
2021-09-21 18:19:48.762823 : Epoch  3, Batch    120, Loss  0.622551, Average Loss  0.617792, Time  0.221793
2021-09-21 18:19:50.231055 : Epoch  3, Batch    121, Loss  0.615806, Average Loss  0.617775, Time  0.220996
2021-09-21 18:19:51.671036 : Epoch  3, Batch    122, Loss  0.603941, Average Loss  0.617697, Time  0.221212
2021-09-21 18:19:53.167950 : Epoch  3, Batch    123, Loss  0.612194, Average Loss  0.617639, Time  0.221439
2021-09-21 18:19:54.643186 : Epoch  3, Batch    124, Loss  0.621384, Average Loss  0.617638, Time  0.244183
2021-09-21 18:19:56.080017 : Epoch  3, Batch    125, Loss  0.615156, Average Loss  0.617668, Time  0.221078
2021-09-21 18:19:57.531934 : Epoch  3, Batch    126, Loss  0.622234, Average Loss  0.617640, Time  0.221657
2021-09-21 18:20:52.436978 : CheckPoint: Validation Loss  0.00025162, Best Loss  0.00025162
2021-09-21 18:20:52.453019 : Best Model Updated
2021-09-21 18:20:54.558811 : Epoch  3, Batch    127, Loss  0.621272, Average Loss  0.617651, Time  0.221543
2021-09-21 18:20:56.036178 : Epoch  3, Batch    128, Loss  0.627557, Average Loss  0.617644, Time  0.221385
2021-09-21 18:20:57.487991 : Epoch  3, Batch    129, Loss  0.613554, Average Loss  0.617596, Time  0.221680
2021-09-21 18:20:58.952721 : Epoch  3, Batch    130, Loss  0.616947, Average Loss  0.617582, Time  0.221465
2021-09-21 18:21:00.429192 : Epoch  3, Batch    131, Loss  0.623950, Average Loss  0.617586, Time  0.221131
2021-09-21 18:21:01.896003 : Epoch  3, Batch    132, Loss  0.617641, Average Loss  0.617584, Time  0.221171
2021-09-21 18:21:03.361964 : Epoch  3, Batch    133, Loss  0.609133, Average Loss  0.617474, Time  0.221203
2021-09-21 18:21:04.819180 : Epoch  3, Batch    134, Loss  0.613219, Average Loss  0.617467, Time  0.221295
2021-09-21 18:21:06.291751 : Epoch  3, Batch    135, Loss  0.612900, Average Loss  0.617467, Time  0.221313
2021-09-21 18:21:07.758071 : Epoch  3, Batch    136, Loss  0.614033, Average Loss  0.617415, Time  0.221747
2021-09-21 18:21:09.219039 : Epoch  3, Batch    137, Loss  0.607146, Average Loss  0.617398, Time  0.221026
2021-09-21 18:21:10.681610 : Epoch  3, Batch    138, Loss  0.611945, Average Loss  0.617347, Time  0.221254
2021-09-21 18:21:12.144195 : Epoch  3, Batch    139, Loss  0.612361, Average Loss  0.617301, Time  0.221921
2021-09-21 18:21:13.605733 : Epoch  3, Batch    140, Loss  0.608981, Average Loss  0.617270, Time  0.221092
2021-09-21 18:21:15.060090 : Epoch  3, Batch    141, Loss  0.622406, Average Loss  0.617271, Time  0.221351
2021-09-21 18:21:16.521244 : Epoch  3, Batch    142, Loss  0.619789, Average Loss  0.617282, Time  0.221309
2021-09-21 18:21:17.987001 : Epoch  3, Batch    143, Loss  0.610653, Average Loss  0.617237, Time  0.221183
2021-09-21 18:21:18.122720 : Epoch  3, Batch    144, Loss  0.429056, Average Loss  0.616287, Time  0.089562
2021-09-21 18:21:19.615683 : Epoch  3, Batch    145, Loss  0.622868, Average Loss  0.616326, Time  0.221043
2021-09-21 18:21:21.085942 : Epoch  3, Batch    146, Loss  0.638426, Average Loss  0.616373, Time  0.221400
2021-09-21 18:21:22.548171 : Epoch  3, Batch    147, Loss  0.629734, Average Loss  0.616453, Time  0.220993
2021-09-21 18:21:24.016053 : Epoch  3, Batch    148, Loss  0.622619, Average Loss  0.616495, Time  0.221327
2021-09-21 18:21:25.473915 : Epoch  3, Batch    149, Loss  0.620492, Average Loss  0.616566, Time  0.220949
2021-09-21 18:21:26.936709 : Epoch  3, Batch    150, Loss  0.625103, Average Loss  0.616613, Time  0.221046
2021-09-21 18:21:28.401930 : Epoch  3, Batch    151, Loss  0.623743, Average Loss  0.616596, Time  0.220886
2021-09-21 18:21:29.856907 : Epoch  3, Batch    152, Loss  0.620963, Average Loss  0.616618, Time  0.221127
2021-09-21 18:21:31.313936 : Epoch  3, Batch    153, Loss  0.624142, Average Loss  0.616658, Time  0.221225
2021-09-21 18:21:32.775784 : Epoch  3, Batch    154, Loss  0.615899, Average Loss  0.616661, Time  0.221504
2021-09-21 18:21:34.243748 : Epoch  3, Batch    155, Loss  0.620530, Average Loss  0.616677, Time  0.221344
2021-09-21 18:21:35.703972 : Epoch  3, Batch    156, Loss  0.625902, Average Loss  0.616721, Time  0.221185
2021-09-21 18:21:37.182935 : Epoch  3, Batch    157, Loss  0.615390, Average Loss  0.616718, Time  0.221253
2021-09-21 18:21:38.647186 : Epoch  3, Batch    158, Loss  0.610436, Average Loss  0.616642, Time  0.221751
2021-09-21 18:21:40.110196 : Epoch  3, Batch    159, Loss  0.621485, Average Loss  0.616674, Time  0.220897
2021-09-21 18:21:41.576136 : Epoch  3, Batch    160, Loss  0.603595, Average Loss  0.616594, Time  0.221363
2021-09-21 18:21:43.045946 : Epoch  3, Batch    161, Loss  0.615913, Average Loss  0.616606, Time  0.221215
2021-09-21 18:21:44.508172 : Epoch  3, Batch    162, Loss  0.618774, Average Loss  0.616635, Time  0.221146
2021-09-21 18:21:45.977020 : Epoch  3, Batch    163, Loss  0.606300, Average Loss  0.616542, Time  0.221727
2021-09-21 18:21:47.441016 : Epoch  3, Batch    164, Loss  0.618515, Average Loss  0.616531, Time  0.221269
2021-09-21 18:21:48.917191 : Epoch  3, Batch    165, Loss  0.627526, Average Loss  0.616555, Time  0.221195
2021-09-21 18:21:50.377750 : Epoch  3, Batch    166, Loss  0.615724, Average Loss  0.616514, Time  0.221245
2021-09-21 18:21:51.879708 : Epoch  3, Batch    167, Loss  0.614511, Average Loss  0.616491, Time  0.221243
2021-09-21 18:21:53.336125 : Epoch  3, Batch    168, Loss  0.617203, Average Loss  0.616494, Time  0.221173
2021-09-21 18:21:54.808705 : Epoch  3, Batch    169, Loss  0.612785, Average Loss  0.616503, Time  0.220965
2021-09-21 18:21:56.273027 : Epoch  3, Batch    170, Loss  0.613145, Average Loss  0.616468, Time  0.221238
2021-09-21 18:21:57.738988 : Epoch  3, Batch    171, Loss  0.614052, Average Loss  0.616430, Time  0.221106
2021-09-21 18:21:59.210181 : Epoch  3, Batch    172, Loss  0.619888, Average Loss  0.616402, Time  0.221252
2021-09-21 18:22:00.673869 : Epoch  3, Batch    173, Loss  0.614004, Average Loss  0.616364, Time  0.221031
2021-09-21 18:22:02.139757 : Epoch  3, Batch    174, Loss  0.624406, Average Loss  0.616403, Time  0.221294
2021-09-21 18:22:03.601470 : Epoch  3, Batch    175, Loss  0.629062, Average Loss  0.616458, Time  0.221938
2021-09-21 18:22:05.074706 : Epoch  3, Batch    176, Loss  0.618700, Average Loss  0.616466, Time  0.221545
2021-09-21 18:22:06.545774 : Epoch  3, Batch    177, Loss  0.613593, Average Loss  0.616443, Time  0.222082
2021-09-21 18:22:08.007761 : Epoch  3, Batch    178, Loss  0.624560, Average Loss  0.616525, Time  0.221119
2021-09-21 18:22:09.472961 : Epoch  3, Batch    179, Loss  0.619314, Average Loss  0.616508, Time  0.221098
2021-09-21 18:22:10.940011 : Epoch  3, Batch    180, Loss  0.622143, Average Loss  0.616529, Time  0.221668
2021-09-21 18:22:12.409239 : Epoch  3, Batch    181, Loss  0.610980, Average Loss  0.616454, Time  0.221123
2021-09-21 18:22:13.883225 : Epoch  3, Batch    182, Loss  0.625149, Average Loss  0.616462, Time  0.221667
2021-09-21 18:22:15.354934 : Epoch  3, Batch    183, Loss  0.620397, Average Loss  0.616457, Time  0.221205
2021-09-21 18:22:16.815177 : Epoch  3, Batch    184, Loss  0.601894, Average Loss  0.616314, Time  0.221402
2021-09-21 18:22:18.268778 : Epoch  3, Batch    185, Loss  0.625126, Average Loss  0.616325, Time  0.221281
2021-09-21 18:22:19.728178 : Epoch  3, Batch    186, Loss  0.606029, Average Loss  0.616270, Time  0.221416
2021-09-21 18:22:21.194936 : Epoch  3, Batch    187, Loss  0.620191, Average Loss  0.616271, Time  0.221160
2021-09-21 18:22:22.656728 : Epoch  3, Batch    188, Loss  0.614769, Average Loss  0.616193, Time  0.221486
2021-09-21 18:22:24.117019 : Epoch  3, Batch    189, Loss  0.627758, Average Loss  0.616237, Time  0.221325
2021-09-21 18:22:25.584776 : Epoch  3, Batch    190, Loss  0.612499, Average Loss  0.616236, Time  0.221405
2021-09-21 18:22:27.043064 : Epoch  3, Batch    191, Loss  0.622405, Average Loss  0.616264, Time  0.221147
2021-09-21 18:22:28.500945 : Epoch  3, Batch    192, Loss  0.612063, Average Loss  0.616210, Time  0.221237
2021-09-21 18:22:29.977057 : Epoch  3, Batch    193, Loss  0.609539, Average Loss  0.616126, Time  0.221245
2021-09-21 18:22:31.445721 : Epoch  3, Batch    194, Loss  0.611760, Average Loss  0.616098, Time  0.221531
2021-09-21 18:22:32.931213 : Epoch  3, Batch    195, Loss  0.618218, Average Loss  0.616113, Time  0.221432
2021-09-21 18:22:34.396585 : Epoch  3, Batch    196, Loss  0.606486, Average Loss  0.616054, Time  0.221231
2021-09-21 18:22:35.853963 : Epoch  3, Batch    197, Loss  0.613211, Average Loss  0.616061, Time  0.221432
2021-09-21 18:22:39.624088 : Epoch  3, Batch    198, Loss  0.613257, Average Loss  0.616004, Time  0.245209
2021-09-21 18:22:41.107780 : Epoch  3, Batch    199, Loss  0.618049, Average Loss  0.616011, Time  0.223211
2021-09-21 18:22:42.575721 : Epoch  3, Batch    200, Loss  0.606853, Average Loss  0.615988, Time  0.221481
2021-09-21 18:22:44.042195 : Epoch  3, Batch    201, Loss  0.625535, Average Loss  0.616018, Time  0.221153
2021-09-21 18:22:45.508171 : Epoch  3, Batch    202, Loss  0.619009, Average Loss  0.616004, Time  0.221144
2021-09-21 18:22:46.967702 : Epoch  3, Batch    203, Loss  0.622839, Average Loss  0.616074, Time  0.221269
2021-09-21 18:22:48.423790 : Epoch  3, Batch    204, Loss  0.617509, Average Loss  0.616067, Time  0.221327
2021-09-21 18:22:49.890679 : Epoch  3, Batch    205, Loss  0.612253, Average Loss  0.616054, Time  0.221889
2021-09-21 18:22:51.357210 : Epoch  3, Batch    206, Loss  0.618199, Average Loss  0.616020, Time  0.221195
2021-09-21 18:22:52.828266 : Epoch  3, Batch    207, Loss  0.618312, Average Loss  0.616053, Time  0.221423
2021-09-21 18:22:54.293016 : Epoch  3, Batch    208, Loss  0.618921, Average Loss  0.616117, Time  0.221108
2021-09-21 18:22:55.751989 : Epoch  3, Batch    209, Loss  0.617200, Average Loss  0.616165, Time  0.221247
2021-09-21 18:22:57.219969 : Epoch  3, Batch    210, Loss  0.623072, Average Loss  0.616214, Time  0.222101
2021-09-21 18:22:58.692186 : Epoch  3, Batch    211, Loss  0.612044, Average Loss  0.616178, Time  0.220916
2021-09-21 18:23:00.156174 : Epoch  3, Batch    212, Loss  0.603633, Average Loss  0.616106, Time  0.221112
2021-09-21 18:23:01.724196 : Epoch  3, Batch    213, Loss  0.619837, Average Loss  0.616085, Time  0.221510
2021-09-21 18:23:03.187053 : Epoch  3, Batch    214, Loss  0.621144, Average Loss  0.616079, Time  0.221452
2021-09-21 18:23:04.648819 : Epoch  3, Batch    215, Loss  0.607833, Average Loss  0.616016, Time  0.221128
2021-09-21 18:23:06.114927 : Epoch  3, Batch    216, Loss  0.612153, Average Loss  0.615977, Time  0.222163
2021-09-21 18:23:07.584994 : Epoch  3, Batch    217, Loss  0.610993, Average Loss  0.615990, Time  0.221385
2021-09-21 18:23:09.050789 : Epoch  3, Batch    218, Loss  0.627460, Average Loss  0.616072, Time  0.221143
2021-09-21 18:23:10.516983 : Epoch  3, Batch    219, Loss  0.615818, Average Loss  0.616053, Time  0.221624
2021-09-21 18:23:11.984065 : Epoch  3, Batch    220, Loss  0.619133, Average Loss  0.616035, Time  0.221444
2021-09-21 18:23:13.461691 : Epoch  3, Batch    221, Loss  0.614035, Average Loss  0.615985, Time  0.221200
2021-09-21 18:23:14.919183 : Epoch  3, Batch    222, Loss  0.614722, Average Loss  0.615976, Time  0.221325
2021-09-21 18:23:16.381698 : Epoch  3, Batch    223, Loss  0.613674, Average Loss  0.615971, Time  0.221086
2021-09-21 18:23:17.842790 : Epoch  3, Batch    224, Loss  0.619468, Average Loss  0.615962, Time  0.221323
2021-09-21 18:23:19.301011 : Epoch  3, Batch    225, Loss  0.623790, Average Loss  0.615997, Time  0.221235
2021-09-21 18:23:20.762934 : Epoch  3, Batch    226, Loss  0.608657, Average Loss  0.615969, Time  0.221413
2021-09-21 18:24:15.817691 : CheckPoint: Validation Loss  0.00025726, Best Loss  0.00025162
2021-09-21 18:24:17.298058 : Epoch  3, Batch    227, Loss  0.618986, Average Loss  0.616008, Time  0.221869
2021-09-21 18:24:18.756158 : Epoch  3, Batch    228, Loss  0.623909, Average Loss  0.616101, Time  0.220898
2021-09-21 18:24:20.222974 : Epoch  3, Batch    229, Loss  0.618160, Average Loss  0.616181, Time  0.221675
2021-09-21 18:24:21.692938 : Epoch  3, Batch    230, Loss  0.614714, Average Loss  0.616148, Time  0.221002
2021-09-21 18:24:23.155942 : Epoch  3, Batch    231, Loss  0.609018, Average Loss  0.616141, Time  0.221363
2021-09-21 18:24:24.633005 : Epoch  3, Batch    232, Loss  0.619504, Average Loss  0.616120, Time  0.221365
2021-09-21 18:24:26.102946 : Epoch  3, Batch    233, Loss  0.619789, Average Loss  0.616141, Time  0.221600
2021-09-21 18:24:27.555754 : Epoch  3, Batch    234, Loss  0.611021, Average Loss  0.616118, Time  0.221707
2021-09-21 18:24:29.018961 : Epoch  3, Batch    235, Loss  0.611183, Average Loss  0.616050, Time  0.220997
2021-09-21 18:24:30.484788 : Epoch  3, Batch    236, Loss  0.616671, Average Loss  0.616053, Time  0.221526
2021-09-21 18:24:31.949947 : Epoch  3, Batch    237, Loss  0.608839, Average Loss  0.616015, Time  0.221128
2021-09-21 18:24:33.411932 : Epoch  3, Batch    238, Loss  0.629445, Average Loss  0.616015, Time  0.221284
2021-09-21 18:24:34.864905 : Epoch  3, Batch    239, Loss  0.613255, Average Loss  0.615935, Time  0.221229
2021-09-21 18:24:36.319211 : Epoch  3, Batch    240, Loss  0.617238, Average Loss  0.615951, Time  0.221206
2021-09-21 18:24:37.791712 : Epoch  3, Batch    241, Loss  0.606017, Average Loss  0.615889, Time  0.222032
2021-09-21 18:24:39.256062 : Epoch  3, Batch    242, Loss  0.613429, Average Loss  0.615881, Time  0.221298
2021-09-21 18:24:40.710083 : Epoch  3, Batch    243, Loss  0.612426, Average Loss  0.615828, Time  0.222017
2021-09-21 18:24:42.175987 : Epoch  3, Batch    244, Loss  0.611192, Average Loss  0.615822, Time  0.221323
2021-09-21 18:24:43.633028 : Epoch  3, Batch    245, Loss  0.619196, Average Loss  0.615847, Time  0.221379
2021-09-21 18:24:45.090253 : Epoch  3, Batch    246, Loss  0.608397, Average Loss  0.615758, Time  0.221929
2021-09-21 18:24:46.556734 : Epoch  3, Batch    247, Loss  0.613886, Average Loss  0.615726, Time  0.221514
2021-09-21 18:24:48.024733 : Epoch  3, Batch    248, Loss  0.621120, Average Loss  0.615733, Time  0.221804
2021-09-21 18:24:49.486989 : Epoch  3, Batch    249, Loss  0.622924, Average Loss  0.615810, Time  0.221982
2021-09-21 18:24:50.940446 : Epoch  3, Batch    250, Loss  0.628476, Average Loss  0.615837, Time  0.221616
2021-09-21 18:24:52.418970 : Epoch  3, Batch    251, Loss  0.614721, Average Loss  0.615792, Time  0.221004
2021-09-21 18:24:53.876023 : Epoch  3, Batch    252, Loss  0.621669, Average Loss  0.615865, Time  0.221609
2021-09-21 18:24:55.342683 : Epoch  3, Batch    253, Loss  0.618746, Average Loss  0.615857, Time  0.221572
2021-09-21 18:24:56.823827 : Epoch  3, Batch    254, Loss  0.606740, Average Loss  0.615808, Time  0.221517
2021-09-21 18:24:58.283939 : Epoch  3, Batch    255, Loss  0.619017, Average Loss  0.615836, Time  0.221518
2021-09-21 18:24:59.741909 : Epoch  3, Batch    256, Loss  0.619690, Average Loss  0.615823, Time  0.221279
2021-09-21 18:25:01.210685 : Epoch  3, Batch    257, Loss  0.613047, Average Loss  0.615826, Time  0.221451
2021-09-21 18:25:02.676023 : Epoch  3, Batch    258, Loss  0.617083, Average Loss  0.615773, Time  0.221535
2021-09-21 18:25:04.127133 : Epoch  3, Batch    259, Loss  0.618260, Average Loss  0.615831, Time  0.221650
2021-09-21 18:25:05.587924 : Epoch  3, Batch    260, Loss  0.620179, Average Loss  0.615825, Time  0.221023
2021-09-21 18:25:07.047945 : Epoch  3, Batch    261, Loss  0.614947, Average Loss  0.615768, Time  0.221305
2021-09-21 18:25:08.505117 : Epoch  3, Batch    262, Loss  0.613703, Average Loss  0.615745, Time  0.222026
2021-09-21 18:25:09.959875 : Epoch  3, Batch    263, Loss  0.620015, Average Loss  0.615789, Time  0.221560
2021-09-21 18:25:11.420827 : Epoch  3, Batch    264, Loss  0.622818, Average Loss  0.615843, Time  0.221397
2021-09-21 18:25:12.879675 : Epoch  3, Batch    265, Loss  0.626559, Average Loss  0.615911, Time  0.220937
2021-09-21 18:25:14.341875 : Epoch  3, Batch    266, Loss  0.614353, Average Loss  0.615882, Time  0.221461
2021-09-21 18:25:15.806782 : Epoch  3, Batch    267, Loss  0.618885, Average Loss  0.615855, Time  0.221482
2021-09-21 18:25:17.272946 : Epoch  3, Batch    268, Loss  0.605812, Average Loss  0.615800, Time  0.221599
2021-09-21 18:25:18.736929 : Epoch  3, Batch    269, Loss  0.618675, Average Loss  0.615804, Time  0.221550
2021-09-21 18:25:20.205899 : Epoch  3, Batch    270, Loss  0.611011, Average Loss  0.615756, Time  0.221624
2021-09-21 18:25:21.665896 : Epoch  3, Batch    271, Loss  0.616242, Average Loss  0.615705, Time  0.220907
2021-09-21 18:25:23.127729 : Epoch  3, Batch    272, Loss  0.619495, Average Loss  0.615689, Time  0.221211
2021-09-21 18:25:24.599863 : Epoch  3, Batch    273, Loss  0.610164, Average Loss  0.615664, Time  0.221459
2021-09-21 18:25:26.063110 : Epoch  3, Batch    274, Loss  0.616864, Average Loss  0.615621, Time  0.221056
2021-09-21 18:25:27.517718 : Epoch  3, Batch    275, Loss  0.614142, Average Loss  0.615580, Time  0.221178
2021-09-21 18:25:28.977896 : Epoch  3, Batch    276, Loss  0.611743, Average Loss  0.615494, Time  0.221420
2021-09-21 18:25:30.442700 : Epoch  3, Batch    277, Loss  0.623298, Average Loss  0.615553, Time  0.221266
2021-09-21 18:25:31.907049 : Epoch  3, Batch    278, Loss  0.612630, Average Loss  0.615585, Time  0.221308
2021-09-21 18:25:33.369859 : Epoch  3, Batch    279, Loss  0.609902, Average Loss  0.615579, Time  0.221395
2021-09-21 18:25:34.833905 : Epoch  3, Batch    280, Loss  0.606803, Average Loss  0.615501, Time  0.220968
2021-09-21 18:25:36.295127 : Epoch  3, Batch    281, Loss  0.605998, Average Loss  0.615496, Time  0.221159
2021-09-21 18:25:37.754286 : Epoch  3, Batch    282, Loss  0.621785, Average Loss  0.615540, Time  0.222307
2021-09-21 18:25:39.222336 : Epoch  3, Batch    283, Loss  0.618115, Average Loss  0.615602, Time  0.222054
2021-09-21 18:25:40.693902 : Epoch  3, Batch    284, Loss  0.611604, Average Loss  0.615599, Time  0.221963
2021-09-21 18:25:42.145217 : Epoch  3, Batch    285, Loss  0.622148, Average Loss  0.615697, Time  0.221111
2021-09-21 18:25:43.608909 : Epoch  3, Batch    286, Loss  0.622080, Average Loss  0.615710, Time  0.221244
2021-09-21 18:25:45.077921 : Epoch  3, Batch    287, Loss  0.608037, Average Loss  0.615719, Time  0.221859
2021-09-21 18:25:46.537106 : Epoch  3, Batch    288, Loss  0.615833, Average Loss  0.615644, Time  0.221346
2021-09-21 18:25:47.995716 : Epoch  3, Batch    289, Loss  0.615312, Average Loss  0.615688, Time  0.221038
2021-09-21 18:25:49.460910 : Epoch  3, Batch    290, Loss  0.618013, Average Loss  0.615702, Time  0.221492
2021-09-21 18:25:50.915992 : Epoch  3, Batch    291, Loss  0.617890, Average Loss  0.615697, Time  0.221159
2021-09-21 18:25:52.380920 : Epoch  3, Batch    292, Loss  0.621660, Average Loss  0.615714, Time  0.221447
2021-09-21 18:25:53.841009 : Epoch  3, Batch    293, Loss  0.623981, Average Loss  0.615741, Time  0.221297
2021-09-21 18:25:55.306944 : Epoch  3, Batch    294, Loss  0.606721, Average Loss  0.615705, Time  0.221319
2021-09-21 18:25:56.770742 : Epoch  3, Batch    295, Loss  0.619852, Average Loss  0.615733, Time  0.221146
2021-09-21 18:25:58.233925 : Epoch  3, Batch    296, Loss  0.607541, Average Loss  0.615716, Time  0.221093
2021-09-21 18:26:01.963693 : Epoch  3, Batch    297, Loss  0.609038, Average Loss  0.615667, Time  0.241992
2021-09-21 18:26:03.423950 : Epoch  3, Batch    298, Loss  0.619680, Average Loss  0.615706, Time  0.221048
2021-09-21 18:26:04.879996 : Epoch  3, Batch    299, Loss  0.623966, Average Loss  0.615716, Time  0.221372
2021-09-21 18:26:06.337135 : Epoch  3, Batch    300, Loss  0.615211, Average Loss  0.615722, Time  0.221113
2021-09-21 18:26:07.798894 : Epoch  3, Batch    301, Loss  0.626683, Average Loss  0.615743, Time  0.221467
2021-09-21 18:26:09.275752 : Epoch  3, Batch    302, Loss  0.610029, Average Loss  0.615672, Time  0.221849
2021-09-21 18:26:10.738701 : Epoch  3, Batch    303, Loss  0.631094, Average Loss  0.615714, Time  0.221145
2021-09-21 18:26:12.202708 : Epoch  3, Batch    304, Loss  0.614600, Average Loss  0.615644, Time  0.221256
2021-09-21 18:26:13.669066 : Epoch  3, Batch    305, Loss  0.617892, Average Loss  0.615614, Time  0.221466
2021-09-21 18:26:15.135942 : Epoch  3, Batch    306, Loss  0.613756, Average Loss  0.615572, Time  0.221568
2021-09-21 18:26:16.622668 : Epoch  3, Batch    307, Loss  0.614354, Average Loss  0.615562, Time  0.221570
2021-09-21 18:26:18.124845 : Epoch  3, Batch    308, Loss  0.617434, Average Loss  0.615615, Time  0.221259
2021-09-21 18:26:19.594700 : Epoch  3, Batch    309, Loss  0.611322, Average Loss  0.615558, Time  0.221360
2021-09-21 18:26:21.064714 : Epoch  3, Batch    310, Loss  0.620596, Average Loss  0.615586, Time  0.221335
2021-09-21 18:26:22.534935 : Epoch  3, Batch    311, Loss  0.606203, Average Loss  0.615516, Time  0.220894
2021-09-21 18:26:23.990930 : Epoch  3, Batch    312, Loss  0.610560, Average Loss  0.615497, Time  0.221328
2021-09-21 18:26:25.456111 : Epoch  3, Batch    313, Loss  0.616729, Average Loss  0.615561, Time  0.221201
2021-09-21 18:26:26.936837 : Epoch  3, Batch    314, Loss  0.617063, Average Loss  0.615662, Time  0.221070
2021-09-21 18:26:28.404703 : Epoch  3, Batch    315, Loss  0.615600, Average Loss  0.615750, Time  0.221736
2021-09-21 18:26:29.864047 : Epoch  3, Batch    316, Loss  0.607818, Average Loss  0.615646, Time  0.221205
2021-09-21 18:26:31.335727 : Epoch  3, Batch    317, Loss  0.621463, Average Loss  0.615670, Time  0.221137
2021-09-21 18:26:32.797891 : Epoch  3, Batch    318, Loss  0.622037, Average Loss  0.615732, Time  0.221158
2021-09-21 18:26:34.257800 : Epoch  3, Batch    319, Loss  0.603633, Average Loss  0.615652, Time  0.221203
2021-09-21 18:26:35.725740 : Epoch  3, Batch    320, Loss  0.607326, Average Loss  0.615576, Time  0.223202
2021-09-21 18:26:37.191776 : Epoch  3, Batch    321, Loss  0.634801, Average Loss  0.615671, Time  0.221081
2021-09-21 18:26:38.664678 : Epoch  3, Batch    322, Loss  0.595961, Average Loss  0.615631, Time  0.221560
2021-09-21 18:26:40.154330 : Epoch  3, Batch    323, Loss  0.597584, Average Loss  0.615558, Time  0.222134
2021-09-21 18:26:41.617605 : Epoch  3, Batch    324, Loss  0.607016, Average Loss  0.615486, Time  0.221568
2021-09-21 18:26:43.091198 : Epoch  3, Batch    325, Loss  0.613194, Average Loss  0.615477, Time  0.221424
2021-09-21 18:26:44.560703 : Epoch  3, Batch    326, Loss  0.609568, Average Loss  0.615413, Time  0.221367
2021-09-21 18:27:39.965679 : CheckPoint: Validation Loss  0.00025690, Best Loss  0.00025162
2021-09-21 18:27:41.455064 : Epoch  3, Batch    327, Loss  0.612320, Average Loss  0.615369, Time  0.221592
2021-09-21 18:27:42.914887 : Epoch  3, Batch    328, Loss  0.620073, Average Loss  0.615331, Time  0.222241
2021-09-21 18:27:44.378715 : Epoch  3, Batch    329, Loss  0.611732, Average Loss  0.615322, Time  0.221218
2021-09-21 18:27:45.837734 : Epoch  3, Batch    330, Loss  0.611194, Average Loss  0.615293, Time  0.221324
2021-09-21 18:27:47.298912 : Epoch  3, Batch    331, Loss  0.617224, Average Loss  0.615260, Time  0.221450
2021-09-21 18:27:48.758940 : Epoch  3, Batch    332, Loss  0.619948, Average Loss  0.615271, Time  0.222125
2021-09-21 18:27:50.245117 : Epoch  3, Batch    333, Loss  0.628481, Average Loss  0.615368, Time  0.221261
2021-09-21 18:27:51.708698 : Epoch  3, Batch    334, Loss  0.616922, Average Loss  0.615386, Time  0.221208
2021-09-21 18:27:53.185118 : Epoch  3, Batch    335, Loss  0.610136, Average Loss  0.615373, Time  0.221363
2021-09-21 18:27:54.648977 : Epoch  3, Batch    336, Loss  0.613862, Average Loss  0.615372, Time  0.221167
2021-09-21 18:27:56.112157 : Epoch  3, Batch    337, Loss  0.611864, Average Loss  0.615395, Time  0.221044
2021-09-21 18:27:57.575386 : Epoch  3, Batch    338, Loss  0.623873, Average Loss  0.615455, Time  0.222637
2021-09-21 18:27:59.044108 : Epoch  3, Batch    339, Loss  0.615413, Average Loss  0.615470, Time  0.220969
2021-09-21 18:28:00.511814 : Epoch  3, Batch    340, Loss  0.611776, Average Loss  0.615484, Time  0.221411
2021-09-21 18:28:01.994787 : Epoch  3, Batch    341, Loss  0.619586, Average Loss  0.615470, Time  0.221590
2021-09-21 18:28:03.459934 : Epoch  3, Batch    342, Loss  0.613758, Average Loss  0.615440, Time  0.221085
2021-09-21 18:28:04.930136 : Epoch  3, Batch    343, Loss  0.621028, Average Loss  0.615492, Time  0.221410
2021-09-21 18:28:06.397811 : Epoch  3, Batch    344, Loss  0.623457, Average Loss  0.616464, Time  0.221260
2021-09-21 18:28:07.874766 : Epoch  3, Batch    345, Loss  0.623331, Average Loss  0.616466, Time  0.221669
2021-09-21 18:28:09.339735 : Epoch  3, Batch    346, Loss  0.610000, Average Loss  0.616324, Time  0.221600
2021-09-21 18:28:10.801788 : Epoch  3, Batch    347, Loss  0.619570, Average Loss  0.616273, Time  0.221696
2021-09-21 18:28:12.269603 : Epoch  3, Batch    348, Loss  0.607283, Average Loss  0.616196, Time  0.222107
2021-09-21 18:28:13.732931 : Epoch  3, Batch    349, Loss  0.618293, Average Loss  0.616185, Time  0.221081
2021-09-21 18:28:15.198730 : Epoch  3, Batch    350, Loss  0.606948, Average Loss  0.616095, Time  0.221283
2021-09-21 18:28:16.661846 : Epoch  3, Batch    351, Loss  0.602955, Average Loss  0.615991, Time  0.221089
2021-09-21 18:28:18.110417 : Epoch  3, Batch    352, Loss  0.603071, Average Loss  0.615901, Time  0.221305
2021-09-21 18:28:19.569942 : Epoch  3, Batch    353, Loss  0.621263, Average Loss  0.615887, Time  0.221187
2021-09-21 18:28:21.025159 : Epoch  3, Batch    354, Loss  0.623335, Average Loss  0.615924, Time  0.221176
2021-09-21 18:28:22.524394 : Epoch  3, Batch    355, Loss  0.623481, Average Loss  0.615939, Time  0.223694
2021-09-21 18:28:23.982376 : Epoch  3, Batch    356, Loss  0.614000, Average Loss  0.615879, Time  0.222181
2021-09-21 18:28:25.441755 : Epoch  3, Batch    357, Loss  0.627709, Average Loss  0.615941, Time  0.221265
2021-09-21 18:28:26.898984 : Epoch  3, Batch    358, Loss  0.611818, Average Loss  0.615948, Time  0.221053
2021-09-21 18:28:28.357006 : Epoch  3, Batch    359, Loss  0.617957, Average Loss  0.615930, Time  0.221710
2021-09-21 18:28:29.814827 : Epoch  3, Batch    360, Loss  0.607931, Average Loss  0.615952, Time  0.221220
2021-09-21 18:28:31.272123 : Epoch  3, Batch    361, Loss  0.627044, Average Loss  0.616008, Time  0.221242
2021-09-21 18:28:32.731921 : Epoch  3, Batch    362, Loss  0.615635, Average Loss  0.615992, Time  0.221232
2021-09-21 18:28:34.190127 : Epoch  3, Batch    363, Loss  0.625718, Average Loss  0.616089, Time  0.221167
2021-09-21 18:28:35.648963 : Epoch  3, Batch    364, Loss  0.612769, Average Loss  0.616060, Time  0.221334
2021-09-21 18:28:37.104888 : Epoch  3, Batch    365, Loss  0.608435, Average Loss  0.615965, Time  0.221195
2021-09-21 18:28:38.557892 : Epoch  3, Batch    366, Loss  0.612135, Average Loss  0.615947, Time  0.221344
2021-09-21 18:28:40.015944 : Epoch  3, Batch    367, Loss  0.624922, Average Loss  0.615999, Time  0.221238
2021-09-21 18:28:41.471701 : Epoch  3, Batch    368, Loss  0.613902, Average Loss  0.615982, Time  0.221415
2021-09-21 18:28:42.924976 : Epoch  3, Batch    369, Loss  0.612883, Average Loss  0.615983, Time  0.221184
2021-09-21 18:28:44.386699 : Epoch  3, Batch    370, Loss  0.613640, Average Loss  0.615985, Time  0.221382
2021-09-21 18:28:45.851224 : Epoch  3, Batch    371, Loss  0.604594, Average Loss  0.615938, Time  0.221557
2021-09-21 18:28:47.301010 : Epoch  3, Batch    372, Loss  0.615713, Average Loss  0.615917, Time  0.222377
2021-09-21 18:28:48.762740 : Epoch  3, Batch    373, Loss  0.604757, Average Loss  0.615871, Time  0.221136
2021-09-21 18:28:50.223917 : Epoch  3, Batch    374, Loss  0.620414, Average Loss  0.615851, Time  0.221242
2021-09-21 18:28:51.688061 : Epoch  3, Batch    375, Loss  0.617169, Average Loss  0.615791, Time  0.221286
2021-09-21 18:28:53.151917 : Epoch  3, Batch    376, Loss  0.614531, Average Loss  0.615771, Time  0.221665
2021-09-21 18:28:54.614749 : Epoch  3, Batch    377, Loss  0.618185, Average Loss  0.615794, Time  0.221110
2021-09-21 18:28:56.079934 : Epoch  3, Batch    378, Loss  0.623704, Average Loss  0.615789, Time  0.221355
2021-09-21 18:28:57.533703 : Epoch  3, Batch    379, Loss  0.615238, Average Loss  0.615769, Time  0.221434
2021-09-21 18:28:58.984826 : Epoch  3, Batch    380, Loss  0.604615, Average Loss  0.615681, Time  0.221657
2021-09-21 18:29:00.435199 : Epoch  3, Batch    381, Loss  0.611902, Average Loss  0.615686, Time  0.221266
2021-09-21 18:29:01.897935 : Epoch  3, Batch    382, Loss  0.617939, Average Loss  0.615650, Time  0.221327
2021-09-21 18:29:03.362186 : Epoch  3, Batch    383, Loss  0.605273, Average Loss  0.615574, Time  0.221259
2021-09-21 18:29:04.820127 : Epoch  3, Batch    384, Loss  0.599003, Average Loss  0.615560, Time  0.220955
2021-09-21 18:29:06.276713 : Epoch  3, Batch    385, Loss  0.623580, Average Loss  0.615552, Time  0.221222
2021-09-21 18:29:07.733993 : Epoch  3, Batch    386, Loss  0.620466, Average Loss  0.615624, Time  0.221271
2021-09-21 18:29:09.186974 : Epoch  3, Batch    387, Loss  0.616890, Average Loss  0.615608, Time  0.220976
2021-09-21 18:29:10.648047 : Epoch  3, Batch    388, Loss  0.629149, Average Loss  0.615680, Time  0.222214
2021-09-21 18:29:12.098087 : Epoch  3, Batch    389, Loss  0.617673, Average Loss  0.615629, Time  0.221096
2021-09-21 18:29:13.551879 : Epoch  3, Batch    390, Loss  0.627245, Average Loss  0.615703, Time  0.221606
2021-09-21 18:29:15.038945 : Epoch  3, Batch    391, Loss  0.613671, Average Loss  0.615659, Time  0.221723
2021-09-21 18:29:16.502950 : Epoch  3, Batch    392, Loss  0.623263, Average Loss  0.615715, Time  0.221302
2021-09-21 18:29:17.954336 : Epoch  3, Batch    393, Loss  0.616647, Average Loss  0.615751, Time  0.222464
2021-09-21 18:29:19.404661 : Epoch  3, Batch    394, Loss  0.609895, Average Loss  0.615741, Time  0.221264
2021-09-21 18:29:20.863182 : Epoch  3, Batch    395, Loss  0.617727, Average Loss  0.615739, Time  0.221133
2021-09-21 18:29:22.331032 : Epoch  3, Batch    396, Loss  0.616659, Average Loss  0.615790, Time  0.221879
2021-09-21 18:29:26.107988 : Epoch  3, Batch    397, Loss  0.620741, Average Loss  0.615828, Time  0.256042
2021-09-21 18:29:27.565999 : Epoch  3, Batch    398, Loss  0.596987, Average Loss  0.615746, Time  0.238428
2021-09-21 18:29:29.015005 : Epoch  3, Batch    399, Loss  0.615608, Average Loss  0.615734, Time  0.222715
2021-09-21 18:29:30.449029 : Epoch  3, Batch    400, Loss  0.612772, Average Loss  0.615764, Time  0.221141
2021-09-21 18:29:31.902992 : Epoch  3, Batch    401, Loss  0.617877, Average Loss  0.615725, Time  0.221210
2021-09-21 18:29:33.349913 : Epoch  3, Batch    402, Loss  0.609845, Average Loss  0.615679, Time  0.221108
2021-09-21 18:29:34.799759 : Epoch  3, Batch    403, Loss  0.617227, Average Loss  0.615651, Time  0.221032
2021-09-21 18:29:36.245025 : Epoch  3, Batch    404, Loss  0.614906, Average Loss  0.615638, Time  0.221249
2021-09-21 18:29:37.688399 : Epoch  3, Batch    405, Loss  0.614788, Average Loss  0.615651, Time  0.221098
2021-09-21 18:29:39.145751 : Epoch  3, Batch    406, Loss  0.610870, Average Loss  0.615614, Time  0.222287
2021-09-21 18:29:40.597730 : Epoch  3, Batch    407, Loss  0.617154, Average Loss  0.615609, Time  0.221103
2021-09-21 18:29:42.046672 : Epoch  3, Batch    408, Loss  0.604633, Average Loss  0.615537, Time  0.221432
2021-09-21 18:29:43.484940 : Epoch  3, Batch    409, Loss  0.624805, Average Loss  0.615575, Time  0.220757
2021-09-21 18:29:44.928089 : Epoch  3, Batch    410, Loss  0.605629, Average Loss  0.615488, Time  0.221332
2021-09-21 18:29:46.378201 : Epoch  3, Batch    411, Loss  0.612698, Average Loss  0.615491, Time  0.221425
2021-09-21 18:29:47.825766 : Epoch  3, Batch    412, Loss  0.605834, Average Loss  0.615502, Time  0.221295
2021-09-21 18:29:49.291084 : Epoch  3, Batch    413, Loss  0.612352, Average Loss  0.615465, Time  0.222099
2021-09-21 18:29:50.737703 : Epoch  3, Batch    414, Loss  0.615090, Average Loss  0.615435, Time  0.221466
2021-09-21 18:29:52.192753 : Epoch  3, Batch    415, Loss  0.619862, Average Loss  0.615495, Time  0.221313
2021-09-21 18:29:53.653918 : Epoch  3, Batch    416, Loss  0.606295, Average Loss  0.615465, Time  0.221345
2021-09-21 18:29:55.098692 : Epoch  3, Batch    417, Loss  0.615594, Average Loss  0.615488, Time  0.221111
2021-09-21 18:29:56.545972 : Epoch  3, Batch    418, Loss  0.599500, Average Loss  0.615349, Time  0.221570
2021-09-21 18:29:57.991826 : Epoch  3, Batch    419, Loss  0.612190, Average Loss  0.615331, Time  0.221435
2021-09-21 18:29:59.447025 : Epoch  3, Batch    420, Loss  0.627308, Average Loss  0.615371, Time  0.221346
2021-09-21 18:30:00.905980 : Epoch  3, Batch    421, Loss  0.620371, Average Loss  0.615403, Time  0.221186
2021-09-21 18:30:02.360194 : Epoch  3, Batch    422, Loss  0.615681, Average Loss  0.615408, Time  0.221330
2021-09-21 18:30:03.814069 : Epoch  3, Batch    423, Loss  0.608798, Average Loss  0.615383, Time  0.221140
2021-09-21 18:30:05.275818 : Epoch  3, Batch    424, Loss  0.618250, Average Loss  0.615377, Time  0.221156
2021-09-21 18:30:06.725714 : Epoch  3, Batch    425, Loss  0.622012, Average Loss  0.615369, Time  0.221297
2021-09-21 18:30:10.489787 : Epoch  3, Batch    426, Loss  0.609098, Average Loss  0.615371, Time  0.252155
2021-09-21 18:31:05.506682 : CheckPoint: Validation Loss  0.00025848, Best Loss  0.00025162
2021-09-21 18:31:06.972047 : Epoch  3, Batch    427, Loss  0.617451, Average Loss  0.615363, Time  0.221866
2021-09-21 18:31:08.422929 : Epoch  3, Batch    428, Loss  0.614173, Average Loss  0.615314, Time  0.221006
2021-09-21 18:31:09.878179 : Epoch  3, Batch    429, Loss  0.612414, Average Loss  0.615286, Time  0.221769
2021-09-21 18:31:11.330988 : Epoch  3, Batch    430, Loss  0.621835, Average Loss  0.615321, Time  0.221444
2021-09-21 18:31:12.783953 : Epoch  3, Batch    431, Loss  0.612356, Average Loss  0.615338, Time  0.221175
2021-09-21 18:31:14.266180 : Epoch  3, Batch    432, Loss  0.609821, Average Loss  0.615290, Time  0.221223
2021-09-21 18:31:15.718068 : Epoch  3, Batch    433, Loss  0.615334, Average Loss  0.615267, Time  0.221221
2021-09-21 18:31:17.178206 : Epoch  3, Batch    434, Loss  0.611046, Average Loss  0.615267, Time  0.221317
2021-09-21 18:31:18.639289 : Epoch  3, Batch    435, Loss  0.605851, Average Loss  0.615241, Time  0.221546
2021-09-21 18:31:20.093081 : Epoch  3, Batch    436, Loss  0.614450, Average Loss  0.615230, Time  0.221398
2021-09-21 18:31:21.542918 : Epoch  3, Batch    437, Loss  0.616963, Average Loss  0.615270, Time  0.221300
2021-09-21 18:31:22.999719 : Epoch  3, Batch    438, Loss  0.617899, Average Loss  0.615212, Time  0.221379
2021-09-21 18:31:24.464194 : Epoch  3, Batch    439, Loss  0.624743, Average Loss  0.615270, Time  0.221174
2021-09-21 18:31:25.934185 : Epoch  3, Batch    440, Loss  0.610970, Average Loss  0.615239, Time  0.221335
2021-09-21 18:31:27.386706 : Epoch  3, Batch    441, Loss  0.622838, Average Loss  0.615323, Time  0.221442
2021-09-21 18:31:28.839181 : Epoch  3, Batch    442, Loss  0.612289, Average Loss  0.615317, Time  0.221122
2021-09-21 18:31:30.299814 : Epoch  3, Batch    443, Loss  0.612010, Average Loss  0.615315, Time  0.222015
2021-09-21 18:31:31.753810 : Epoch  3, Batch    444, Loss  0.611429, Average Loss  0.615316, Time  0.221450
2021-09-21 18:31:33.213093 : Epoch  3, Batch    445, Loss  0.623059, Average Loss  0.615335, Time  0.221325
2021-09-21 18:31:34.677906 : Epoch  3, Batch    446, Loss  0.624951, Average Loss  0.615418, Time  0.221772
2021-09-21 18:31:36.138693 : Epoch  3, Batch    447, Loss  0.608198, Average Loss  0.615390, Time  0.221368
2021-09-21 18:31:37.599744 : Epoch  3, Batch    448, Loss  0.621312, Average Loss  0.615391, Time  0.221603
2021-09-21 18:31:39.080051 : Epoch  3, Batch    449, Loss  0.605452, Average Loss  0.615303, Time  0.221709
2021-09-21 18:31:40.535195 : Epoch  3, Batch    450, Loss  0.617328, Average Loss  0.615248, Time  0.221154
2021-09-21 18:31:41.997973 : Epoch  3, Batch    451, Loss  0.622695, Average Loss  0.615287, Time  0.221114
2021-09-21 18:31:43.452022 : Epoch  3, Batch    452, Loss  0.616095, Average Loss  0.615260, Time  0.221371
2021-09-21 18:31:44.913958 : Epoch  3, Batch    453, Loss  0.624686, Average Loss  0.615289, Time  0.221014
2021-09-21 18:31:46.371818 : Epoch  3, Batch    454, Loss  0.613228, Average Loss  0.615322, Time  0.221128
2021-09-21 18:31:47.836210 : Epoch  3, Batch    455, Loss  0.621707, Average Loss  0.615335, Time  0.221014
2021-09-21 18:31:49.296182 : Epoch  3, Batch    456, Loss  0.615091, Average Loss  0.615312, Time  0.221030
2021-09-21 18:31:50.755039 : Epoch  3, Batch    457, Loss  0.608561, Average Loss  0.615290, Time  0.220969
2021-09-21 18:31:52.219018 : Epoch  3, Batch    458, Loss  0.628260, Average Loss  0.615346, Time  0.221134
2021-09-21 18:31:53.671935 : Epoch  3, Batch    459, Loss  0.608936, Average Loss  0.615299, Time  0.220960
2021-09-21 18:31:55.130998 : Epoch  3, Batch    460, Loss  0.621648, Average Loss  0.615306, Time  0.221217
2021-09-21 18:31:56.593065 : Epoch  3, Batch    461, Loss  0.606301, Average Loss  0.615263, Time  0.221100
2021-09-21 18:31:58.082705 : Epoch  3, Batch    462, Loss  0.622412, Average Loss  0.615307, Time  0.221261
2021-09-21 18:31:59.534962 : Epoch  3, Batch    463, Loss  0.624230, Average Loss  0.615328, Time  0.221139
2021-09-21 18:32:01.007241 : Epoch  3, Batch    464, Loss  0.610970, Average Loss  0.615269, Time  0.221684
2021-09-21 18:32:02.459188 : Epoch  3, Batch    465, Loss  0.625029, Average Loss  0.615261, Time  0.221308
2021-09-21 18:32:03.910830 : Epoch  3, Batch    466, Loss  0.627945, Average Loss  0.615329, Time  0.221371
2021-09-21 18:32:05.368049 : Epoch  3, Batch    467, Loss  0.619747, Average Loss  0.615333, Time  0.221847
2021-09-21 18:32:06.826827 : Epoch  3, Batch    468, Loss  0.604855, Average Loss  0.615328, Time  0.221132
2021-09-21 18:32:08.340191 : Epoch  3, Batch    469, Loss  0.610120, Average Loss  0.615286, Time  0.221245
2021-09-21 18:32:09.795996 : Epoch  3, Batch    470, Loss  0.617253, Average Loss  0.615317, Time  0.221488
2021-09-21 18:32:11.254272 : Epoch  3, Batch    471, Loss  0.619375, Average Loss  0.615332, Time  0.221075
2021-09-21 18:32:12.704532 : Epoch  3, Batch    472, Loss  0.615827, Average Loss  0.615314, Time  0.221495
2021-09-21 18:32:14.158224 : Epoch  3, Batch    473, Loss  0.606635, Average Loss  0.615296, Time  0.221385
2021-09-21 18:32:15.627252 : Epoch  3, Batch    474, Loss  0.619975, Average Loss  0.615312, Time  0.222765
2021-09-21 18:32:17.107003 : Epoch  3, Batch    475, Loss  0.621320, Average Loss  0.615348, Time  0.221366
2021-09-21 18:32:18.565952 : Epoch  3, Batch    476, Loss  0.598418, Average Loss  0.615281, Time  0.221380
2021-09-21 18:32:20.020188 : Epoch  3, Batch    477, Loss  0.614980, Average Loss  0.615240, Time  0.221162
2021-09-21 18:32:21.471955 : Epoch  3, Batch    478, Loss  0.619535, Average Loss  0.615274, Time  0.221427
2021-09-21 18:32:22.946970 : Epoch  3, Batch    479, Loss  0.615853, Average Loss  0.615304, Time  0.221075
2021-09-21 18:32:24.412045 : Epoch  3, Batch    480, Loss  0.611992, Average Loss  0.615330, Time  0.221489
2021-09-21 18:32:25.874182 : Epoch  3, Batch    481, Loss  0.614516, Average Loss  0.615373, Time  0.221153
2021-09-21 18:32:27.336912 : Epoch  3, Batch    482, Loss  0.613519, Average Loss  0.615331, Time  0.221959
2021-09-21 18:32:28.816735 : Epoch  3, Batch    483, Loss  0.615727, Average Loss  0.615319, Time  0.223385
2021-09-21 18:32:30.276781 : Epoch  3, Batch    484, Loss  0.604985, Average Loss  0.615286, Time  0.221465
2021-09-21 18:32:31.740690 : Epoch  3, Batch    485, Loss  0.612750, Average Loss  0.615239, Time  0.221236
2021-09-21 18:32:33.193089 : Epoch  3, Batch    486, Loss  0.614509, Average Loss  0.615201, Time  0.221306
2021-09-21 18:32:34.647740 : Epoch  3, Batch    487, Loss  0.615722, Average Loss  0.615240, Time  0.221262
2021-09-21 18:32:36.108104 : Epoch  3, Batch    488, Loss  0.623462, Average Loss  0.615278, Time  0.221448
2021-09-21 18:32:37.568513 : Epoch  3, Batch    489, Loss  0.615648, Average Loss  0.615280, Time  0.221502
2021-09-21 18:32:39.035951 : Epoch  3, Batch    490, Loss  0.617840, Average Loss  0.615279, Time  0.221467
2021-09-21 18:32:40.503995 : Epoch  3, Batch    491, Loss  0.622291, Average Loss  0.615301, Time  0.221443
2021-09-21 18:32:41.959803 : Epoch  3, Batch    492, Loss  0.605730, Average Loss  0.615221, Time  0.221245
2021-09-21 18:32:43.415712 : Epoch  3, Batch    493, Loss  0.625325, Average Loss  0.615228, Time  0.221502
2021-09-21 18:32:44.878949 : Epoch  3, Batch    494, Loss  0.614577, Average Loss  0.615267, Time  0.221170
2021-09-21 18:32:46.339909 : Epoch  3, Batch    495, Loss  0.617230, Average Loss  0.615254, Time  0.223459
2021-09-21 18:32:47.795188 : Epoch  3, Batch    496, Loss  0.617711, Average Loss  0.615305, Time  0.220994
2021-09-21 18:32:51.575792 : Epoch  3, Batch    497, Loss  0.614168, Average Loss  0.615330, Time  0.257171
2021-09-21 18:32:53.045182 : Epoch  3, Batch    498, Loss  0.616393, Average Loss  0.615314, Time  0.242086
2021-09-21 18:32:54.496064 : Epoch  3, Batch    499, Loss  0.611431, Average Loss  0.615251, Time  0.224117
2021-09-21 18:32:55.971768 : Epoch  3, Batch    500, Loss  0.612111, Average Loss  0.615236, Time  0.221970
2021-09-21 18:32:57.429176 : Epoch  3, Batch    501, Loss  0.609239, Average Loss  0.615149, Time  0.221056
2021-09-21 18:32:58.884964 : Epoch  3, Batch    502, Loss  0.611703, Average Loss  0.615157, Time  0.221743
2021-09-21 18:33:00.343749 : Epoch  3, Batch    503, Loss  0.615279, Average Loss  0.615078, Time  0.221285
2021-09-21 18:33:01.863688 : Epoch  3, Batch    504, Loss  0.617099, Average Loss  0.615090, Time  0.221678
2021-09-21 18:33:03.328934 : Epoch  3, Batch    505, Loss  0.618086, Average Loss  0.615091, Time  0.221473
2021-09-21 18:33:04.782747 : Epoch  3, Batch    506, Loss  0.600952, Average Loss  0.615027, Time  0.221079
2021-09-21 18:33:06.233769 : Epoch  3, Batch    507, Loss  0.618960, Average Loss  0.615050, Time  0.221409
2021-09-21 18:33:07.695925 : Epoch  3, Batch    508, Loss  0.613126, Average Loss  0.615029, Time  0.221360
2021-09-21 18:33:09.152925 : Epoch  3, Batch    509, Loss  0.616602, Average Loss  0.615055, Time  0.221241
2021-09-21 18:33:10.606139 : Epoch  3, Batch    510, Loss  0.608408, Average Loss  0.614994, Time  0.221328
2021-09-21 18:33:12.054888 : Epoch  3, Batch    511, Loss  0.612955, Average Loss  0.615028, Time  0.221388
2021-09-21 18:33:13.507935 : Epoch  3, Batch    512, Loss  0.609407, Average Loss  0.615022, Time  0.221030
2021-09-21 18:33:14.958124 : Epoch  3, Batch    513, Loss  0.611153, Average Loss  0.614994, Time  0.221307
2021-09-21 18:33:16.403124 : Epoch  3, Batch    514, Loss  0.629776, Average Loss  0.615058, Time  0.221250
2021-09-21 18:33:17.858934 : Epoch  3, Batch    515, Loss  0.608423, Average Loss  0.615022, Time  0.221178
2021-09-21 18:33:19.320686 : Epoch  3, Batch    516, Loss  0.612546, Average Loss  0.615046, Time  0.221431
2021-09-21 18:33:20.772002 : Epoch  3, Batch    517, Loss  0.609684, Average Loss  0.614987, Time  0.221362
2021-09-21 18:33:22.227947 : Epoch  3, Batch    518, Loss  0.610197, Average Loss  0.614928, Time  0.221326
2021-09-21 18:33:23.676728 : Epoch  3, Batch    519, Loss  0.622556, Average Loss  0.615022, Time  0.221134
2021-09-21 18:33:25.139806 : Epoch  3, Batch    520, Loss  0.614442, Average Loss  0.615058, Time  0.221473
2021-09-21 18:33:26.589653 : Epoch  3, Batch    521, Loss  0.622132, Average Loss  0.614994, Time  0.221409
2021-09-21 18:33:28.041628 : Epoch  3, Batch    522, Loss  0.618375, Average Loss  0.615107, Time  0.221495
2021-09-21 18:33:29.499131 : Epoch  3, Batch    523, Loss  0.607737, Average Loss  0.615157, Time  0.221139
2021-09-21 18:33:30.956033 : Epoch  3, Batch    524, Loss  0.603209, Average Loss  0.615138, Time  0.221342
2021-09-21 18:33:32.407922 : Epoch  3, Batch    525, Loss  0.623273, Average Loss  0.615189, Time  0.221171
2021-09-21 18:33:33.875782 : Epoch  3, Batch    526, Loss  0.624829, Average Loss  0.615265, Time  0.221652
2021-09-21 18:34:28.914681 : CheckPoint: Validation Loss  0.00025772, Best Loss  0.00025162
2021-09-21 18:34:30.386906 : Epoch  3, Batch    527, Loss  0.616954, Average Loss  0.615288, Time  0.221871
2021-09-21 18:34:31.847949 : Epoch  3, Batch    528, Loss  0.606858, Average Loss  0.615222, Time  0.221031
2021-09-21 18:34:33.303508 : Epoch  3, Batch    529, Loss  0.605226, Average Loss  0.615190, Time  0.220953
2021-09-21 18:34:34.765100 : Epoch  3, Batch    530, Loss  0.604061, Average Loss  0.615154, Time  0.221261
2021-09-21 18:34:36.233903 : Epoch  3, Batch    531, Loss  0.608688, Average Loss  0.615111, Time  0.221033
2021-09-21 18:34:37.697722 : Epoch  3, Batch    532, Loss  0.604372, Average Loss  0.615033, Time  0.221263
2021-09-21 18:34:39.174733 : Epoch  3, Batch    533, Loss  0.614457, Average Loss  0.614963, Time  0.222078
2021-09-21 18:34:40.654833 : Epoch  3, Batch    534, Loss  0.617592, Average Loss  0.614967, Time  0.221863
2021-09-21 18:34:42.111949 : Epoch  3, Batch    535, Loss  0.611878, Average Loss  0.614975, Time  0.220856
2021-09-21 18:34:43.572528 : Epoch  3, Batch    536, Loss  0.610523, Average Loss  0.614959, Time  0.222144
2021-09-21 18:34:45.035700 : Epoch  3, Batch    537, Loss  0.594196, Average Loss  0.614870, Time  0.221016
2021-09-21 18:34:46.503242 : Epoch  3, Batch    538, Loss  0.605496, Average Loss  0.614778, Time  0.221636
2021-09-21 18:34:47.964075 : Epoch  3, Batch    539, Loss  0.628277, Average Loss  0.614843, Time  0.221543
2021-09-21 18:34:49.429191 : Epoch  3, Batch    540, Loss  0.612279, Average Loss  0.614845, Time  0.221456
2021-09-21 18:34:50.887804 : Epoch  3, Batch    541, Loss  0.617603, Average Loss  0.614835, Time  0.221117
2021-09-21 18:34:52.339100 : Epoch  3, Batch    542, Loss  0.617250, Average Loss  0.614853, Time  0.221654
2021-09-21 18:34:53.794931 : Epoch  3, Batch    543, Loss  0.615819, Average Loss  0.614827, Time  0.221517
2021-09-21 18:34:55.256008 : Epoch  3, Batch    544, Loss  0.617135, Average Loss  0.614795, Time  0.221356
2021-09-21 18:34:56.714731 : Epoch  3, Batch    545, Loss  0.614878, Average Loss  0.614753, Time  0.221119
2021-09-21 18:34:58.174218 : Epoch  3, Batch    546, Loss  0.617782, Average Loss  0.614792, Time  0.221409
2021-09-21 18:34:59.630939 : Epoch  3, Batch    547, Loss  0.618596, Average Loss  0.614787, Time  0.221164
2021-09-21 18:35:01.088181 : Epoch  3, Batch    548, Loss  0.617488, Average Loss  0.614838, Time  0.221203
2021-09-21 18:35:02.550235 : Epoch  3, Batch    549, Loss  0.614873, Average Loss  0.614821, Time  0.221125
2021-09-21 18:35:04.023782 : Epoch  3, Batch    550, Loss  0.615143, Average Loss  0.614862, Time  0.221905
2021-09-21 18:35:05.500993 : Epoch  3, Batch    551, Loss  0.608904, Average Loss  0.614891, Time  0.221216
2021-09-21 18:35:06.955212 : Epoch  3, Batch    552, Loss  0.611241, Average Loss  0.614932, Time  0.221328
2021-09-21 18:35:08.421210 : Epoch  3, Batch    553, Loss  0.613149, Average Loss  0.614892, Time  0.221244
2021-09-21 18:35:09.879191 : Epoch  3, Batch    554, Loss  0.607037, Average Loss  0.614810, Time  0.221108
2021-09-21 18:35:11.332201 : Epoch  3, Batch    555, Loss  0.608743, Average Loss  0.614737, Time  0.221195
2021-09-21 18:35:12.792194 : Epoch  3, Batch    556, Loss  0.611391, Average Loss  0.614724, Time  0.221421
2021-09-21 18:35:14.240063 : Epoch  3, Batch    557, Loss  0.614225, Average Loss  0.614656, Time  0.221172
2021-09-21 18:35:15.702993 : Epoch  3, Batch    558, Loss  0.613809, Average Loss  0.614666, Time  0.221322
2021-09-21 18:35:17.160006 : Epoch  3, Batch    559, Loss  0.617429, Average Loss  0.614663, Time  0.221090
2021-09-21 18:35:18.612195 : Epoch  3, Batch    560, Loss  0.608285, Average Loss  0.614665, Time  0.221401
2021-09-21 18:35:20.066194 : Epoch  3, Batch    561, Loss  0.613356, Average Loss  0.614597, Time  0.220927
2021-09-21 18:35:21.522167 : Epoch  3, Batch    562, Loss  0.611521, Average Loss  0.614576, Time  0.221052
2021-09-21 18:35:22.981551 : Epoch  3, Batch    563, Loss  0.612390, Average Loss  0.614510, Time  0.220938
2021-09-21 18:35:24.432315 : Epoch  3, Batch    564, Loss  0.621535, Average Loss  0.614553, Time  0.221440
2021-09-21 18:35:25.888330 : Epoch  3, Batch    565, Loss  0.620992, Average Loss  0.614616, Time  0.220887
2021-09-21 18:35:27.338133 : Epoch  3, Batch    566, Loss  0.608773, Average Loss  0.614599, Time  0.221305
2021-09-21 18:35:28.798889 : Epoch  3, Batch    567, Loss  0.616774, Average Loss  0.614559, Time  0.220909
2021-09-21 18:35:30.268778 : Epoch  3, Batch    568, Loss  0.623269, Average Loss  0.614605, Time  0.221461
2021-09-21 18:35:31.728071 : Epoch  3, Batch    569, Loss  0.610985, Average Loss  0.614596, Time  0.221014
2021-09-21 18:35:33.201989 : Epoch  3, Batch    570, Loss  0.629593, Average Loss  0.614676, Time  0.222701
2021-09-21 18:35:34.662984 : Epoch  3, Batch    571, Loss  0.615676, Average Loss  0.614731, Time  0.221436
2021-09-21 18:35:36.110933 : Epoch  3, Batch    572, Loss  0.603277, Average Loss  0.614669, Time  0.221270
2021-09-21 18:35:37.573218 : Epoch  3, Batch    573, Loss  0.611270, Average Loss  0.614702, Time  0.221425
2021-09-21 18:35:39.043923 : Epoch  3, Batch    574, Loss  0.622290, Average Loss  0.614711, Time  0.221421
2021-09-21 18:35:40.508908 : Epoch  3, Batch    575, Loss  0.604807, Average Loss  0.614649, Time  0.221068
2021-09-21 18:35:41.965138 : Epoch  3, Batch    576, Loss  0.619338, Average Loss  0.614673, Time  0.221216
2021-09-21 18:35:43.414108 : Epoch  3, Batch    577, Loss  0.618085, Average Loss  0.614673, Time  0.220932
2021-09-21 18:35:44.856916 : Epoch  3, Batch    578, Loss  0.606832, Average Loss  0.614588, Time  0.221317
2021-09-21 18:35:46.318021 : Epoch  3, Batch    579, Loss  0.609093, Average Loss  0.614558, Time  0.221288
2021-09-21 18:35:47.781940 : Epoch  3, Batch    580, Loss  0.619943, Average Loss  0.614634, Time  0.221335
2021-09-21 18:35:49.243956 : Epoch  3, Batch    581, Loss  0.609055, Average Loss  0.614620, Time  0.221052
2021-09-21 18:35:50.696126 : Epoch  3, Batch    582, Loss  0.618372, Average Loss  0.614622, Time  0.221301
2021-09-21 18:35:52.142893 : Epoch  3, Batch    583, Loss  0.605782, Average Loss  0.614625, Time  0.221140
2021-09-21 18:35:53.611914 : Epoch  3, Batch    584, Loss  0.623091, Average Loss  0.614745, Time  0.221359
2021-09-21 18:35:55.063427 : Epoch  3, Batch    585, Loss  0.625284, Average Loss  0.614754, Time  0.221044
2021-09-21 18:35:56.511117 : Epoch  3, Batch    586, Loss  0.606562, Average Loss  0.614684, Time  0.221428
2021-09-21 18:35:57.961975 : Epoch  3, Batch    587, Loss  0.615199, Average Loss  0.614676, Time  0.221074
2021-09-21 18:35:59.424208 : Epoch  3, Batch    588, Loss  0.614633, Average Loss  0.614603, Time  0.221334
2021-09-21 18:36:00.882696 : Epoch  3, Batch    589, Loss  0.617938, Average Loss  0.614604, Time  0.220960
2021-09-21 18:36:02.330031 : Epoch  3, Batch    590, Loss  0.607884, Average Loss  0.614508, Time  0.221386
2021-09-21 18:36:03.799928 : Epoch  3, Batch    591, Loss  0.618401, Average Loss  0.614531, Time  0.221039
2021-09-21 18:36:05.262961 : Epoch  3, Batch    592, Loss  0.611552, Average Loss  0.614473, Time  0.221364
2021-09-21 18:36:06.726215 : Epoch  3, Batch    593, Loss  0.612894, Average Loss  0.614454, Time  0.222394
2021-09-21 18:36:08.176296 : Epoch  3, Batch    594, Loss  0.617330, Average Loss  0.614491, Time  0.221209
2021-09-21 18:36:09.628705 : Epoch  3, Batch    595, Loss  0.613912, Average Loss  0.614472, Time  0.221667
2021-09-21 18:36:11.096730 : Epoch  3, Batch    596, Loss  0.615270, Average Loss  0.614465, Time  0.221517
2021-09-21 18:36:14.891241 : Epoch  3, Batch    597, Loss  0.607741, Average Loss  0.614400, Time  0.259557
2021-09-21 18:36:16.371271 : Epoch  3, Batch    598, Loss  0.615155, Average Loss  0.614491, Time  0.243009
2021-09-21 18:36:17.838010 : Epoch  3, Batch    599, Loss  0.613723, Average Loss  0.614481, Time  0.225828
2021-09-21 18:36:19.292943 : Epoch  3, Batch    600, Loss  0.619777, Average Loss  0.614517, Time  0.221429
2021-09-21 18:36:20.765617 : Epoch  3, Batch    601, Loss  0.605411, Average Loss  0.614454, Time  0.221499
2021-09-21 18:36:22.218708 : Epoch  3, Batch    602, Loss  0.620314, Average Loss  0.614507, Time  0.221220
2021-09-21 18:36:23.699868 : Epoch  3, Batch    603, Loss  0.622922, Average Loss  0.614535, Time  0.222599
2021-09-21 18:36:25.166707 : Epoch  3, Batch    604, Loss  0.612175, Average Loss  0.614521, Time  0.222279
2021-09-21 18:36:26.645717 : Epoch  3, Batch    605, Loss  0.629346, Average Loss  0.614594, Time  0.222022
2021-09-21 18:36:28.116888 : Epoch  3, Batch    606, Loss  0.609851, Average Loss  0.614589, Time  0.222107
2021-09-21 18:36:29.575713 : Epoch  3, Batch    607, Loss  0.608283, Average Loss  0.614545, Time  0.222547
2021-09-21 18:36:31.046960 : Epoch  3, Batch    608, Loss  0.619905, Average Loss  0.614621, Time  0.221823
2021-09-21 18:36:32.525986 : Epoch  3, Batch    609, Loss  0.617264, Average Loss  0.614583, Time  0.222072
2021-09-21 18:36:33.987927 : Epoch  3, Batch    610, Loss  0.608559, Average Loss  0.614598, Time  0.221512
2021-09-21 18:36:35.447754 : Epoch  3, Batch    611, Loss  0.612025, Average Loss  0.614595, Time  0.221489
2021-09-21 18:36:36.909805 : Epoch  3, Batch    612, Loss  0.615074, Average Loss  0.614641, Time  0.222188
2021-09-21 18:36:38.380361 : Epoch  3, Batch    613, Loss  0.608164, Average Loss  0.614620, Time  0.221864
2021-09-21 18:36:39.861332 : Epoch  3, Batch    614, Loss  0.614095, Average Loss  0.614615, Time  0.222160
2021-09-21 18:36:41.354243 : Epoch  3, Batch    615, Loss  0.605728, Average Loss  0.614544, Time  0.221669
2021-09-21 18:36:42.831699 : Epoch  3, Batch    616, Loss  0.609814, Average Loss  0.614562, Time  0.221590
2021-09-21 18:36:44.301006 : Epoch  3, Batch    617, Loss  0.609860, Average Loss  0.614533, Time  0.222004
2021-09-21 18:36:45.759927 : Epoch  3, Batch    618, Loss  0.612773, Average Loss  0.614600, Time  0.221815
2021-09-21 18:36:47.221682 : Epoch  3, Batch    619, Loss  0.603369, Average Loss  0.614555, Time  0.221253
2021-09-21 18:36:48.680930 : Epoch  3, Batch    620, Loss  0.608088, Average Loss  0.614459, Time  0.221398
2021-09-21 18:36:50.133934 : Epoch  3, Batch    621, Loss  0.612203, Average Loss  0.614418, Time  0.221172
2021-09-21 18:36:51.603822 : Epoch  3, Batch    622, Loss  0.608421, Average Loss  0.614382, Time  0.221331
2021-09-21 18:36:53.068800 : Epoch  3, Batch    623, Loss  0.623907, Average Loss  0.614458, Time  0.220982
2021-09-21 18:36:54.529814 : Epoch  3, Batch    624, Loss  0.619119, Average Loss  0.614462, Time  0.221600
2021-09-21 18:36:55.988972 : Epoch  3, Batch    625, Loss  0.630532, Average Loss  0.614505, Time  0.222281
2021-09-21 18:36:57.458715 : Epoch  3, Batch    626, Loss  0.616719, Average Loss  0.614543, Time  0.221739
2021-09-21 18:37:52.593683 : CheckPoint: Validation Loss  0.00025156, Best Loss  0.00025156
2021-09-21 18:37:52.636547 : Best Model Updated
2021-09-21 18:37:54.750761 : Epoch  3, Batch    627, Loss  0.611473, Average Loss  0.614513, Time  0.221797
2021-09-21 18:37:56.212788 : Epoch  3, Batch    628, Loss  0.613623, Average Loss  0.614510, Time  0.221101
2021-09-21 18:37:57.677685 : Epoch  3, Batch    629, Loss  0.611042, Average Loss  0.614503, Time  0.221860
2021-09-21 18:37:59.152683 : Epoch  3, Batch    630, Loss  0.618992, Average Loss  0.614489, Time  0.222678
2021-09-21 18:38:00.611688 : Epoch  3, Batch    631, Loss  0.605951, Average Loss  0.614457, Time  0.221380
2021-09-21 18:38:02.079772 : Epoch  3, Batch    632, Loss  0.613136, Average Loss  0.614474, Time  0.221624
2021-09-21 18:38:03.533266 : Epoch  3, Batch    633, Loss  0.617030, Average Loss  0.614482, Time  0.221234
2021-09-21 18:38:04.987352 : Epoch  3, Batch    634, Loss  0.626841, Average Loss  0.614561, Time  0.221467
2021-09-21 18:38:06.459015 : Epoch  3, Batch    635, Loss  0.617757, Average Loss  0.614621, Time  0.221855
2021-09-21 18:38:07.929907 : Epoch  3, Batch    636, Loss  0.610373, Average Loss  0.614600, Time  0.221011
2021-09-21 18:38:09.386747 : Epoch  3, Batch    637, Loss  0.603976, Average Loss  0.614535, Time  0.221237
2021-09-21 18:38:10.842783 : Epoch  3, Batch    638, Loss  0.626625, Average Loss  0.614579, Time  0.221425
2021-09-21 18:38:12.297818 : Epoch  3, Batch    639, Loss  0.607673, Average Loss  0.614494, Time  0.221026
2021-09-21 18:38:13.753918 : Epoch  3, Batch    640, Loss  0.613817, Average Loss  0.614508, Time  0.221017
2021-09-21 18:38:15.209681 : Epoch  3, Batch    641, Loss  0.607820, Average Loss  0.614433, Time  0.221824
2021-09-21 18:38:16.657232 : Epoch  3, Batch    642, Loss  0.623878, Average Loss  0.614491, Time  0.221649
2021-09-21 18:38:18.106634 : Epoch  3, Batch    643, Loss  0.616108, Average Loss  0.614511, Time  0.221023
2021-09-21 18:38:19.557842 : Epoch  3, Batch    644, Loss  0.618817, Average Loss  0.614548, Time  0.221872
2021-09-21 18:38:21.024309 : Epoch  3, Batch    645, Loss  0.611249, Average Loss  0.614489, Time  0.221594
2021-09-21 18:38:22.486730 : Epoch  3, Batch    646, Loss  0.616703, Average Loss  0.614448, Time  0.221452
2021-09-21 18:38:23.987011 : Epoch  3, Batch    647, Loss  0.598272, Average Loss  0.614398, Time  0.221594
2021-09-21 18:38:25.634953 : Epoch  3, Batch    648, Loss  0.617516, Average Loss  0.614379, Time  0.221285
2021-09-21 18:38:27.103067 : Epoch  3, Batch    649, Loss  0.615716, Average Loss  0.614430, Time  0.221298
2021-09-21 18:38:28.561242 : Epoch  3, Batch    650, Loss  0.624893, Average Loss  0.614468, Time  0.221280
2021-09-21 18:38:30.018929 : Epoch  3, Batch    651, Loss  0.616175, Average Loss  0.614436, Time  0.221259
2021-09-21 18:38:31.475761 : Epoch  3, Batch    652, Loss  0.617133, Average Loss  0.614441, Time  0.221201
2021-09-21 18:38:32.939945 : Epoch  3, Batch    653, Loss  0.610356, Average Loss  0.614369, Time  0.221081
2021-09-21 18:38:34.424910 : Epoch  3, Batch    654, Loss  0.613770, Average Loss  0.614372, Time  0.221406
2021-09-21 18:38:35.897720 : Epoch  3, Batch    655, Loss  0.619843, Average Loss  0.614363, Time  0.221315
2021-09-21 18:38:37.358019 : Epoch  3, Batch    656, Loss  0.614317, Average Loss  0.614359, Time  0.221608
2021-09-21 18:38:38.818788 : Epoch  3, Batch    657, Loss  0.619929, Average Loss  0.614416, Time  0.221282
2021-09-21 18:38:40.301915 : Epoch  3, Batch    658, Loss  0.606231, Average Loss  0.614305, Time  0.221675
2021-09-21 18:38:41.764718 : Epoch  3, Batch    659, Loss  0.615137, Average Loss  0.614336, Time  0.221400
2021-09-21 18:38:43.232086 : Epoch  3, Batch    660, Loss  0.622769, Average Loss  0.614342, Time  0.221593
2021-09-21 18:38:44.703397 : Epoch  3, Batch    661, Loss  0.609158, Average Loss  0.614356, Time  0.221952
2021-09-21 18:38:46.173677 : Epoch  3, Batch    662, Loss  0.604278, Average Loss  0.614266, Time  0.221441
2021-09-21 18:38:47.640689 : Epoch  3, Batch    663, Loss  0.606087, Average Loss  0.614175, Time  0.221434
2021-09-21 18:38:49.107984 : Epoch  3, Batch    664, Loss  0.617156, Average Loss  0.614206, Time  0.222449
2021-09-21 18:38:50.568259 : Epoch  3, Batch    665, Loss  0.625175, Average Loss  0.614207, Time  0.220930
2021-09-21 18:38:52.045003 : Epoch  3, Batch    666, Loss  0.609697, Average Loss  0.614115, Time  0.221562
2021-09-21 18:38:53.507943 : Epoch  3, Batch    667, Loss  0.607353, Average Loss  0.614053, Time  0.221692
2021-09-21 18:38:54.968923 : Epoch  3, Batch    668, Loss  0.626539, Average Loss  0.614162, Time  0.221150
2021-09-21 18:38:56.433918 : Epoch  3, Batch    669, Loss  0.612876, Average Loss  0.614176, Time  0.221307
2021-09-21 18:38:57.900908 : Epoch  3, Batch    670, Loss  0.600088, Average Loss  0.614090, Time  0.221310
2021-09-21 18:38:59.358839 : Epoch  3, Batch    671, Loss  0.602661, Average Loss  0.614006, Time  0.221134
2021-09-21 18:39:00.818980 : Epoch  3, Batch    672, Loss  0.626054, Average Loss  0.614057, Time  0.221428
2021-09-21 18:39:02.278956 : Epoch  3, Batch    673, Loss  0.623929, Average Loss  0.614144, Time  0.221925
2021-09-21 18:39:03.743915 : Epoch  3, Batch    674, Loss  0.618798, Average Loss  0.614138, Time  0.221500
2021-09-21 18:39:05.204809 : Epoch  3, Batch    675, Loss  0.611836, Average Loss  0.614091, Time  0.221328
2021-09-21 18:39:06.653807 : Epoch  3, Batch    676, Loss  0.607571, Average Loss  0.614136, Time  0.221396
2021-09-21 18:39:08.108116 : Epoch  3, Batch    677, Loss  0.607268, Average Loss  0.614098, Time  0.220977
2021-09-21 18:39:09.581200 : Epoch  3, Batch    678, Loss  0.610653, Average Loss  0.614053, Time  0.221686
2021-09-21 18:39:11.029686 : Epoch  3, Batch    679, Loss  0.613382, Average Loss  0.614041, Time  0.221294
2021-09-21 18:39:12.484950 : Epoch  3, Batch    680, Loss  0.612189, Average Loss  0.614042, Time  0.221257
2021-09-21 18:39:13.949941 : Epoch  3, Batch    681, Loss  0.613410, Average Loss  0.614036, Time  0.221200
2021-09-21 18:39:15.405929 : Epoch  3, Batch    682, Loss  0.624125, Average Loss  0.614089, Time  0.221305
2021-09-21 18:39:16.878734 : Epoch  3, Batch    683, Loss  0.614979, Average Loss  0.614086, Time  0.222090
2021-09-21 18:39:18.333767 : Epoch  3, Batch    684, Loss  0.611274, Average Loss  0.614117, Time  0.221715
2021-09-21 18:39:19.794759 : Epoch  3, Batch    685, Loss  0.604906, Average Loss  0.614078, Time  0.221180
2021-09-21 18:39:21.258921 : Epoch  3, Batch    686, Loss  0.610508, Average Loss  0.614058, Time  0.221411
2021-09-21 18:39:22.716203 : Epoch  3, Batch    687, Loss  0.611775, Average Loss  0.614038, Time  0.221415
2021-09-21 18:39:24.166810 : Epoch  3, Batch    688, Loss  0.613308, Average Loss  0.613987, Time  0.221372
2021-09-21 18:39:25.622491 : Epoch  3, Batch    689, Loss  0.603264, Average Loss  0.613926, Time  0.221148
2021-09-21 18:39:27.114211 : Epoch  3, Batch    690, Loss  0.602591, Average Loss  0.613849, Time  0.221721
2021-09-21 18:39:28.577079 : Epoch  3, Batch    691, Loss  0.600633, Average Loss  0.613741, Time  0.221273
2021-09-21 18:39:30.024913 : Epoch  3, Batch    692, Loss  0.618704, Average Loss  0.613806, Time  0.220980
2021-09-21 18:39:31.481090 : Epoch  3, Batch    693, Loss  0.614572, Average Loss  0.613752, Time  0.221034
2021-09-21 18:39:32.944355 : Epoch  3, Batch    694, Loss  0.620689, Average Loss  0.613783, Time  0.221291
2021-09-21 18:39:34.409254 : Epoch  3, Batch    695, Loss  0.602186, Average Loss  0.613707, Time  0.222046
2021-09-21 18:39:35.871716 : Epoch  3, Batch    696, Loss  0.610471, Average Loss  0.613671, Time  0.221092
2021-09-21 18:39:39.709733 : Epoch  3, Batch    697, Loss  0.609094, Average Loss  0.613646, Time  0.260449
2021-09-21 18:39:41.189187 : Epoch  3, Batch    698, Loss  0.610613, Average Loss  0.613617, Time  0.242953
2021-09-21 18:39:42.635375 : Epoch  3, Batch    699, Loss  0.607585, Average Loss  0.613598, Time  0.224515
2021-09-21 18:39:44.104229 : Epoch  3, Batch    700, Loss  0.629167, Average Loss  0.613683, Time  0.222545
2021-09-21 18:39:45.556924 : Epoch  3, Batch    701, Loss  0.612537, Average Loss  0.613700, Time  0.221406
2021-09-21 18:39:47.004186 : Epoch  3, Batch    702, Loss  0.613598, Average Loss  0.613709, Time  0.221140
2021-09-21 18:39:48.465193 : Epoch  3, Batch    703, Loss  0.615958, Average Loss  0.613712, Time  0.221846
2021-09-21 18:39:49.923678 : Epoch  3, Batch    704, Loss  0.603365, Average Loss  0.613644, Time  0.221205
2021-09-21 18:39:51.373680 : Epoch  3, Batch    705, Loss  0.621216, Average Loss  0.613659, Time  0.221539
2021-09-21 18:39:52.825995 : Epoch  3, Batch    706, Loss  0.601047, Average Loss  0.613660, Time  0.221792
2021-09-21 18:39:54.276007 : Epoch  3, Batch    707, Loss  0.627397, Average Loss  0.613702, Time  0.221463
2021-09-21 18:39:55.729733 : Epoch  3, Batch    708, Loss  0.603621, Average Loss  0.613654, Time  0.221558
2021-09-21 18:39:57.171200 : Epoch  3, Batch    709, Loss  0.611852, Average Loss  0.613631, Time  0.221067
2021-09-21 18:39:58.621965 : Epoch  3, Batch    710, Loss  0.620543, Average Loss  0.613691, Time  0.221099
2021-09-21 18:40:00.072950 : Epoch  3, Batch    711, Loss  0.614458, Average Loss  0.613699, Time  0.221641
2021-09-21 18:40:01.520782 : Epoch  3, Batch    712, Loss  0.601494, Average Loss  0.613659, Time  0.221737
2021-09-21 18:40:02.982960 : Epoch  3, Batch    713, Loss  0.608654, Average Loss  0.613647, Time  0.221032
2021-09-21 18:40:04.450938 : Epoch  3, Batch    714, Loss  0.613851, Average Loss  0.613567, Time  0.221801
2021-09-21 18:40:05.903940 : Epoch  3, Batch    715, Loss  0.606506, Average Loss  0.613558, Time  0.221122
2021-09-21 18:40:07.347171 : Epoch  3, Batch    716, Loss  0.608034, Average Loss  0.613535, Time  0.221414
2021-09-21 18:40:08.805022 : Epoch  3, Batch    717, Loss  0.618085, Average Loss  0.613577, Time  0.221520
2021-09-21 18:40:10.256921 : Epoch  3, Batch    718, Loss  0.607137, Average Loss  0.613562, Time  0.221382
2021-09-21 18:40:11.700757 : Epoch  3, Batch    719, Loss  0.610577, Average Loss  0.613502, Time  0.221791
2021-09-21 18:40:13.159261 : Epoch  3, Batch    720, Loss  0.615462, Average Loss  0.613507, Time  0.221770
2021-09-21 18:40:14.634710 : Epoch  3, Batch    721, Loss  0.615332, Average Loss  0.613473, Time  0.221200
2021-09-21 18:40:16.086257 : Epoch  3, Batch    722, Loss  0.618756, Average Loss  0.613475, Time  0.221429
2021-09-21 18:40:17.543195 : Epoch  3, Batch    723, Loss  0.605439, Average Loss  0.613463, Time  0.221590
2021-09-21 18:40:18.996011 : Epoch  3, Batch    724, Loss  0.621097, Average Loss  0.613553, Time  0.221432
2021-09-21 18:40:20.452743 : Epoch  3, Batch    725, Loss  0.606612, Average Loss  0.613470, Time  0.221333
2021-09-21 18:40:21.907177 : Epoch  3, Batch    726, Loss  0.622559, Average Loss  0.613458, Time  0.221095
2021-09-21 18:41:16.850738 : CheckPoint: Validation Loss  0.00025261, Best Loss  0.00025156
2021-09-21 18:41:18.339205 : Epoch  3, Batch    727, Loss  0.618988, Average Loss  0.613468, Time  0.222443
2021-09-21 18:41:19.808948 : Epoch  3, Batch    728, Loss  0.619389, Average Loss  0.613531, Time  0.221836
2021-09-21 18:41:21.263949 : Epoch  3, Batch    729, Loss  0.608215, Average Loss  0.613546, Time  0.221127
2021-09-21 18:41:22.711993 : Epoch  3, Batch    730, Loss  0.616542, Average Loss  0.613608, Time  0.221378
2021-09-21 18:41:24.171144 : Epoch  3, Batch    731, Loss  0.611066, Average Loss  0.613620, Time  0.220978
2021-09-21 18:41:25.623740 : Epoch  3, Batch    732, Loss  0.619168, Average Loss  0.613694, Time  0.221354
2021-09-21 18:41:27.081994 : Epoch  3, Batch    733, Loss  0.611157, Average Loss  0.613678, Time  0.221519
2021-09-21 18:41:28.537734 : Epoch  3, Batch    734, Loss  0.610261, Average Loss  0.613641, Time  0.221141
2021-09-21 18:41:29.992777 : Epoch  3, Batch    735, Loss  0.616293, Average Loss  0.613663, Time  0.221470
2021-09-21 18:41:31.442225 : Epoch  3, Batch    736, Loss  0.615619, Average Loss  0.613689, Time  0.222106
2021-09-21 18:41:32.899757 : Epoch  3, Batch    737, Loss  0.613036, Average Loss  0.613783, Time  0.221018
2021-09-21 18:41:34.358159 : Epoch  3, Batch    738, Loss  0.612917, Average Loss  0.613820, Time  0.221547
2021-09-21 18:41:35.818769 : Epoch  3, Batch    739, Loss  0.612863, Average Loss  0.613743, Time  0.222274
2021-09-21 18:41:37.264882 : Epoch  3, Batch    740, Loss  0.612597, Average Loss  0.613745, Time  0.221976
2021-09-21 18:41:38.723091 : Epoch  3, Batch    741, Loss  0.599994, Average Loss  0.613656, Time  0.221014
2021-09-21 18:41:40.179066 : Epoch  3, Batch    742, Loss  0.608417, Average Loss  0.613612, Time  0.221598
2021-09-21 18:41:41.630915 : Epoch  3, Batch    743, Loss  0.614290, Average Loss  0.613605, Time  0.221342
2021-09-21 18:41:43.084911 : Epoch  3, Batch    744, Loss  0.617828, Average Loss  0.613608, Time  0.221271
2021-09-21 18:41:44.538879 : Epoch  3, Batch    745, Loss  0.614584, Average Loss  0.613607, Time  0.221410
2021-09-21 18:41:45.984446 : Epoch  3, Batch    746, Loss  0.616807, Average Loss  0.613602, Time  0.221637
2021-09-21 18:41:47.443974 : Epoch  3, Batch    747, Loss  0.608139, Average Loss  0.613549, Time  0.221986
2021-09-21 18:41:48.911073 : Epoch  3, Batch    748, Loss  0.615276, Average Loss  0.613538, Time  0.221275
2021-09-21 18:41:50.368893 : Epoch  3, Batch    749, Loss  0.607031, Average Loss  0.613499, Time  0.221134
2021-09-21 18:41:51.825836 : Epoch  3, Batch    750, Loss  0.617221, Average Loss  0.613510, Time  0.221650
2021-09-21 18:41:53.281093 : Epoch  3, Batch    751, Loss  0.626296, Average Loss  0.613597, Time  0.221089
2021-09-21 18:41:54.737909 : Epoch  3, Batch    752, Loss  0.606128, Average Loss  0.613571, Time  0.221450
2021-09-21 18:41:56.181914 : Epoch  3, Batch    753, Loss  0.617167, Average Loss  0.613591, Time  0.221545
2021-09-21 18:41:57.631875 : Epoch  3, Batch    754, Loss  0.610109, Average Loss  0.613606, Time  0.221430
2021-09-21 18:41:59.088913 : Epoch  3, Batch    755, Loss  0.600056, Average Loss  0.613563, Time  0.221250
2021-09-21 18:42:00.551146 : Epoch  3, Batch    756, Loss  0.612647, Average Loss  0.613569, Time  0.221767
2021-09-21 18:42:02.006694 : Epoch  3, Batch    757, Loss  0.621204, Average Loss  0.613604, Time  0.221261
2021-09-21 18:42:03.468159 : Epoch  3, Batch    758, Loss  0.625088, Average Loss  0.613661, Time  0.221441
2021-09-21 18:42:04.933962 : Epoch  3, Batch    759, Loss  0.615965, Average Loss  0.613653, Time  0.221502
2021-09-21 18:42:06.390193 : Epoch  3, Batch    760, Loss  0.625693, Average Loss  0.613740, Time  0.221753
2021-09-21 18:42:07.843035 : Epoch  3, Batch    761, Loss  0.616337, Average Loss  0.613755, Time  0.221118
2021-09-21 18:42:09.298930 : Epoch  3, Batch    762, Loss  0.613236, Average Loss  0.613764, Time  0.221553
2021-09-21 18:42:10.749099 : Epoch  3, Batch    763, Loss  0.605889, Average Loss  0.613731, Time  0.221216
2021-09-21 18:42:12.199911 : Epoch  3, Batch    764, Loss  0.620829, Average Loss  0.613728, Time  0.221315
2021-09-21 18:42:13.666165 : Epoch  3, Batch    765, Loss  0.614356, Average Loss  0.613695, Time  0.221163
2021-09-21 18:42:15.153152 : Epoch  3, Batch    766, Loss  0.611941, Average Loss  0.613710, Time  0.221438
2021-09-21 18:42:16.606936 : Epoch  3, Batch    767, Loss  0.611286, Average Loss  0.613683, Time  0.221537
2021-09-21 18:42:18.080093 : Epoch  3, Batch    768, Loss  0.609860, Average Loss  0.613616, Time  0.223380
2021-09-21 18:42:19.552938 : Epoch  3, Batch    769, Loss  0.617507, Average Loss  0.613649, Time  0.221512
2021-09-21 18:42:21.022069 : Epoch  3, Batch    770, Loss  0.606054, Average Loss  0.613531, Time  0.222340
2021-09-21 18:42:22.472875 : Epoch  3, Batch    771, Loss  0.613820, Average Loss  0.613522, Time  0.221293
2021-09-21 18:42:23.927880 : Epoch  3, Batch    772, Loss  0.620185, Average Loss  0.613606, Time  0.221720
2021-09-21 18:42:25.388882 : Epoch  3, Batch    773, Loss  0.615865, Average Loss  0.613629, Time  0.221122
2021-09-21 18:42:26.846910 : Epoch  3, Batch    774, Loss  0.609651, Average Loss  0.613566, Time  0.221467
2021-09-21 18:42:28.330962 : Epoch  3, Batch    775, Loss  0.607979, Average Loss  0.613582, Time  0.221246
2021-09-21 18:42:29.796060 : Epoch  3, Batch    776, Loss  0.611343, Average Loss  0.613542, Time  0.221562
2021-09-21 18:42:31.254988 : Epoch  3, Batch    777, Loss  0.606577, Average Loss  0.613484, Time  0.221727
2021-09-21 18:42:32.707887 : Epoch  3, Batch    778, Loss  0.614557, Average Loss  0.613523, Time  0.222036
2021-09-21 18:42:34.168946 : Epoch  3, Batch    779, Loss  0.622140, Average Loss  0.613588, Time  0.221405
2021-09-21 18:42:35.632996 : Epoch  3, Batch    780, Loss  0.614148, Average Loss  0.613559, Time  0.221386
2021-09-21 18:42:37.089764 : Epoch  3, Batch    781, Loss  0.609854, Average Loss  0.613563, Time  0.222357
2021-09-21 18:42:38.555139 : Epoch  3, Batch    782, Loss  0.620461, Average Loss  0.613574, Time  0.221595
2021-09-21 18:42:40.017892 : Epoch  3, Batch    783, Loss  0.619788, Average Loss  0.613644, Time  0.221236
2021-09-21 18:42:41.482825 : Epoch  3, Batch    784, Loss  0.617047, Average Loss  0.613613, Time  0.221130
2021-09-21 18:42:42.942932 : Epoch  3, Batch    785, Loss  0.618571, Average Loss  0.613580, Time  0.221980
2021-09-21 18:42:44.405103 : Epoch  3, Batch    786, Loss  0.611157, Average Loss  0.613603, Time  0.221805
2021-09-21 18:42:45.869967 : Epoch  3, Batch    787, Loss  0.613163, Average Loss  0.613593, Time  0.220985
2021-09-21 18:42:45.899727 : Saving Model after 3-th Epoch.
2021-09-21 18:42:46.598577 : Epoch Finished.
2021-09-21 18:42:48.960759 : Batch Shuffled
2021-09-21 18:42:50.449933 : Epoch  4, Batch      1, Loss  0.605688, Average Loss  0.613548, Time  0.252084
2021-09-21 18:42:51.896861 : Epoch  4, Batch      2, Loss  0.610696, Average Loss  0.613512, Time  0.226264
2021-09-21 18:42:53.333088 : Epoch  4, Batch      3, Loss  0.614276, Average Loss  0.613544, Time  0.221512
2021-09-21 18:42:54.776870 : Epoch  4, Batch      4, Loss  0.626624, Average Loss  0.613585, Time  0.221563
2021-09-21 18:42:56.240916 : Epoch  4, Batch      5, Loss  0.605937, Average Loss  0.613557, Time  0.222484
2021-09-21 18:42:57.694720 : Epoch  4, Batch      6, Loss  0.624220, Average Loss  0.613613, Time  0.221597
2021-09-21 18:42:59.147790 : Epoch  4, Batch      7, Loss  0.621391, Average Loss  0.613634, Time  0.221658
2021-09-21 18:43:00.605978 : Epoch  4, Batch      8, Loss  0.615490, Average Loss  0.613641, Time  0.221053
2021-09-21 18:43:02.067787 : Epoch  4, Batch      9, Loss  0.620306, Average Loss  0.613667, Time  0.221497
2021-09-21 18:43:03.532099 : Epoch  4, Batch     10, Loss  0.604981, Average Loss  0.613653, Time  0.221835
2021-09-21 18:43:04.999898 : Epoch  4, Batch     11, Loss  0.618679, Average Loss  0.613670, Time  0.221364
2021-09-21 18:43:06.455961 : Epoch  4, Batch     12, Loss  0.615679, Average Loss  0.613680, Time  0.221452
2021-09-21 18:43:07.926997 : Epoch  4, Batch     13, Loss  0.612620, Average Loss  0.613644, Time  0.221968
2021-09-21 18:43:09.374115 : Epoch  4, Batch     14, Loss  0.609313, Average Loss  0.613664, Time  0.221012
2021-09-21 18:43:10.828984 : Epoch  4, Batch     15, Loss  0.631072, Average Loss  0.613718, Time  0.222404
2021-09-21 18:43:12.289091 : Epoch  4, Batch     16, Loss  0.617899, Average Loss  0.613693, Time  0.221346
2021-09-21 18:43:13.753724 : Epoch  4, Batch     17, Loss  0.611360, Average Loss  0.613689, Time  0.221191
2021-09-21 18:43:15.200859 : Epoch  4, Batch     18, Loss  0.623234, Average Loss  0.613658, Time  0.221370
2021-09-21 18:43:16.646974 : Epoch  4, Batch     19, Loss  0.621002, Average Loss  0.613714, Time  0.221283
2021-09-21 18:43:18.109997 : Epoch  4, Batch     20, Loss  0.602737, Average Loss  0.613686, Time  0.221637
2021-09-21 18:43:19.562849 : Epoch  4, Batch     21, Loss  0.614914, Average Loss  0.613661, Time  0.221585
2021-09-21 18:43:21.015985 : Epoch  4, Batch     22, Loss  0.606714, Average Loss  0.613608, Time  0.221238
2021-09-21 18:43:22.470764 : Epoch  4, Batch     23, Loss  0.615299, Average Loss  0.613642, Time  0.221560
2021-09-21 18:43:23.919231 : Epoch  4, Batch     24, Loss  0.623721, Average Loss  0.613701, Time  0.221123
2021-09-21 18:43:25.383921 : Epoch  4, Batch     25, Loss  0.614922, Average Loss  0.613700, Time  0.221864
2021-09-21 18:43:26.839616 : Epoch  4, Batch     26, Loss  0.619385, Average Loss  0.613756, Time  0.221313
2021-09-21 18:43:28.292695 : Epoch  4, Batch     27, Loss  0.610480, Average Loss  0.613738, Time  0.221395
2021-09-21 18:43:29.755928 : Epoch  4, Batch     28, Loss  0.622652, Average Loss  0.613822, Time  0.221425
2021-09-21 18:43:31.201913 : Epoch  4, Batch     29, Loss  0.617224, Average Loss  0.613859, Time  0.221114
2021-09-21 18:43:32.664948 : Epoch  4, Batch     30, Loss  0.615285, Average Loss  0.613887, Time  0.221519
2021-09-21 18:43:34.120209 : Epoch  4, Batch     31, Loss  0.612021, Average Loss  0.613883, Time  0.221244
2021-09-21 18:43:35.574956 : Epoch  4, Batch     32, Loss  0.614211, Average Loss  0.613937, Time  0.221220
2021-09-21 18:43:37.020826 : Epoch  4, Batch     33, Loss  0.620569, Average Loss  0.613999, Time  0.221355
2021-09-21 18:43:38.483536 : Epoch  4, Batch     34, Loss  0.608156, Average Loss  0.613979, Time  0.221397
2021-09-21 18:43:39.936918 : Epoch  4, Batch     35, Loss  0.603847, Average Loss  0.613956, Time  0.221409
2021-09-21 18:43:41.390890 : Epoch  4, Batch     36, Loss  0.626649, Average Loss  0.613970, Time  0.221241
2021-09-21 18:43:42.854109 : Epoch  4, Batch     37, Loss  0.618818, Average Loss  0.613969, Time  0.221188
2021-09-21 18:43:44.315112 : Epoch  4, Batch     38, Loss  0.609449, Average Loss  0.613863, Time  0.221112
2021-09-21 18:43:45.766875 : Epoch  4, Batch     39, Loss  0.612510, Average Loss  0.613842, Time  0.221430
2021-09-21 18:44:40.898679 : CheckPoint: Validation Loss  0.00025351, Best Loss  0.00025156
2021-09-21 18:44:42.359762 : Epoch  4, Batch     40, Loss  0.607134, Average Loss  0.613820, Time  0.222342
2021-09-21 18:44:43.822182 : Epoch  4, Batch     41, Loss  0.622287, Average Loss  0.613864, Time  0.222094
2021-09-21 18:44:45.273651 : Epoch  4, Batch     42, Loss  0.614981, Average Loss  0.613883, Time  0.221626
2021-09-21 18:44:46.738945 : Epoch  4, Batch     43, Loss  0.618339, Average Loss  0.613880, Time  0.225236
2021-09-21 18:44:48.197190 : Epoch  4, Batch     44, Loss  0.611985, Average Loss  0.613910, Time  0.221370
2021-09-21 18:44:49.644945 : Epoch  4, Batch     45, Loss  0.603174, Average Loss  0.613860, Time  0.221241
2021-09-21 18:44:51.097083 : Epoch  4, Batch     46, Loss  0.615510, Average Loss  0.613853, Time  0.221435
2021-09-21 18:44:52.548043 : Epoch  4, Batch     47, Loss  0.602438, Average Loss  0.613731, Time  0.221225
2021-09-21 18:44:54.004805 : Epoch  4, Batch     48, Loss  0.622638, Average Loss  0.613755, Time  0.221036
2021-09-21 18:44:55.458686 : Epoch  4, Batch     49, Loss  0.610711, Average Loss  0.613757, Time  0.221713
2021-09-21 18:44:56.912041 : Epoch  4, Batch     50, Loss  0.606879, Average Loss  0.613771, Time  0.221399
2021-09-21 18:44:58.366691 : Epoch  4, Batch     51, Loss  0.612276, Average Loss  0.613700, Time  0.221388
2021-09-21 18:44:59.824043 : Epoch  4, Batch     52, Loss  0.614058, Average Loss  0.613732, Time  0.221461
2021-09-21 18:45:01.277125 : Epoch  4, Batch     53, Loss  0.627893, Average Loss  0.613802, Time  0.221716
2021-09-21 18:45:02.743748 : Epoch  4, Batch     54, Loss  0.626096, Average Loss  0.613893, Time  0.221325
2021-09-21 18:45:04.208839 : Epoch  4, Batch     55, Loss  0.603176, Average Loss  0.613790, Time  0.221642
2021-09-21 18:45:05.657196 : Epoch  4, Batch     56, Loss  0.599342, Average Loss  0.613706, Time  0.221392
2021-09-21 18:45:07.112926 : Epoch  4, Batch     57, Loss  0.608469, Average Loss  0.613654, Time  0.221218
2021-09-21 18:45:08.572543 : Epoch  4, Batch     58, Loss  0.606653, Average Loss  0.613631, Time  0.221147
2021-09-21 18:45:10.021787 : Epoch  4, Batch     59, Loss  0.617654, Average Loss  0.613636, Time  0.221653
2021-09-21 18:45:11.477048 : Epoch  4, Batch     60, Loss  0.605052, Average Loss  0.613670, Time  0.222299
2021-09-21 18:45:12.955092 : Epoch  4, Batch     61, Loss  0.613475, Average Loss  0.613650, Time  0.222803
2021-09-21 18:45:14.420782 : Epoch  4, Batch     62, Loss  0.618070, Average Loss  0.613662, Time  0.222101
2021-09-21 18:45:15.904272 : Epoch  4, Batch     63, Loss  0.618511, Average Loss  0.613630, Time  0.223103
2021-09-21 18:45:17.360012 : Epoch  4, Batch     64, Loss  0.605124, Average Loss  0.613574, Time  0.221370
2021-09-21 18:45:18.848780 : Epoch  4, Batch     65, Loss  0.606822, Average Loss  0.613523, Time  0.222930
2021-09-21 18:45:20.327778 : Epoch  4, Batch     66, Loss  0.616575, Average Loss  0.613554, Time  0.221361
2021-09-21 18:45:21.799049 : Epoch  4, Batch     67, Loss  0.619114, Average Loss  0.613581, Time  0.222845
2021-09-21 18:45:23.252851 : Epoch  4, Batch     68, Loss  0.613912, Average Loss  0.613551, Time  0.221924
2021-09-21 18:45:24.715221 : Epoch  4, Batch     69, Loss  0.587993, Average Loss  0.613419, Time  0.221545
2021-09-21 18:45:26.180197 : Epoch  4, Batch     70, Loss  0.609787, Average Loss  0.613369, Time  0.221160
2021-09-21 18:45:27.646116 : Epoch  4, Batch     71, Loss  0.609769, Average Loss  0.613386, Time  0.222106
2021-09-21 18:45:29.112983 : Epoch  4, Batch     72, Loss  0.601923, Average Loss  0.613320, Time  0.221384
2021-09-21 18:45:30.583685 : Epoch  4, Batch     73, Loss  0.610405, Average Loss  0.613258, Time  0.221774
2021-09-21 18:45:32.041514 : Epoch  4, Batch     74, Loss  0.607417, Average Loss  0.613250, Time  0.221404
2021-09-21 18:45:33.496022 : Epoch  4, Batch     75, Loss  0.617493, Average Loss  0.613316, Time  0.221931
2021-09-21 18:45:34.951831 : Epoch  4, Batch     76, Loss  0.614115, Average Loss  0.613356, Time  0.221990
2021-09-21 18:45:36.424697 : Epoch  4, Batch     77, Loss  0.622879, Average Loss  0.613385, Time  0.221443
2021-09-21 18:45:37.883018 : Epoch  4, Batch     78, Loss  0.619216, Average Loss  0.613355, Time  0.221169
2021-09-21 18:45:39.339276 : Epoch  4, Batch     79, Loss  0.611567, Average Loss  0.613364, Time  0.221437
2021-09-21 18:45:40.795929 : Epoch  4, Batch     80, Loss  0.614175, Average Loss  0.613398, Time  0.221102
2021-09-21 18:45:42.254919 : Epoch  4, Batch     81, Loss  0.608932, Average Loss  0.613310, Time  0.221147
2021-09-21 18:45:43.713204 : Epoch  4, Batch     82, Loss  0.614052, Average Loss  0.613316, Time  0.221342
2021-09-21 18:45:45.168050 : Epoch  4, Batch     83, Loss  0.614003, Average Loss  0.613386, Time  0.221505
2021-09-21 18:45:46.631035 : Epoch  4, Batch     84, Loss  0.606460, Average Loss  0.613405, Time  0.221102
2021-09-21 18:45:48.096002 : Epoch  4, Batch     85, Loss  0.603281, Average Loss  0.613291, Time  0.221327
2021-09-21 18:45:49.555912 : Epoch  4, Batch     86, Loss  0.616536, Average Loss  0.613254, Time  0.221169
2021-09-21 18:45:51.011169 : Epoch  4, Batch     87, Loss  0.618889, Average Loss  0.613254, Time  0.221430
2021-09-21 18:45:52.474955 : Epoch  4, Batch     88, Loss  0.605157, Average Loss  0.613221, Time  0.222268
2021-09-21 18:45:53.934963 : Epoch  4, Batch     89, Loss  0.613703, Average Loss  0.613252, Time  0.221237
2021-09-21 18:45:55.401775 : Epoch  4, Batch     90, Loss  0.606634, Average Loss  0.613248, Time  0.221366
2021-09-21 18:45:56.874975 : Epoch  4, Batch     91, Loss  0.616015, Average Loss  0.613275, Time  0.221821
2021-09-21 18:45:58.333777 : Epoch  4, Batch     92, Loss  0.619269, Average Loss  0.613305, Time  0.221239
2021-09-21 18:45:59.818945 : Epoch  4, Batch     93, Loss  0.618541, Average Loss  0.613336, Time  0.222216
2021-09-21 18:46:01.270714 : Epoch  4, Batch     94, Loss  0.610071, Average Loss  0.613320, Time  0.221252
2021-09-21 18:46:02.729767 : Epoch  4, Batch     95, Loss  0.616972, Average Loss  0.613284, Time  0.221324
2021-09-21 18:46:04.193875 : Epoch  4, Batch     96, Loss  0.607339, Average Loss  0.613246, Time  0.222187
2021-09-21 18:46:05.654917 : Epoch  4, Batch     97, Loss  0.609292, Average Loss  0.613236, Time  0.221346
2021-09-21 18:46:07.104685 : Epoch  4, Batch     98, Loss  0.625982, Average Loss  0.613341, Time  0.221231
2021-09-21 18:46:08.556111 : Epoch  4, Batch     99, Loss  0.616592, Average Loss  0.613372, Time  0.221104
2021-09-21 18:46:10.027701 : Epoch  4, Batch    100, Loss  0.609951, Average Loss  0.613363, Time  0.221396
2021-09-21 18:46:11.491903 : Epoch  4, Batch    101, Loss  0.610217, Average Loss  0.613347, Time  0.221951
2021-09-21 18:46:12.945184 : Epoch  4, Batch    102, Loss  0.615881, Average Loss  0.613410, Time  0.221123
2021-09-21 18:46:14.403941 : Epoch  4, Batch    103, Loss  0.603407, Average Loss  0.613414, Time  0.221406
2021-09-21 18:46:14.537883 : Epoch  4, Batch    104, Loss  0.603165, Average Loss  0.613427, Time  0.086801
2021-09-21 18:46:16.005948 : Epoch  4, Batch    105, Loss  0.616983, Average Loss  0.613418, Time  0.221236
2021-09-21 18:46:17.461924 : Epoch  4, Batch    106, Loss  0.648418, Average Loss  0.613588, Time  0.220975
2021-09-21 18:46:18.921913 : Epoch  4, Batch    107, Loss  0.637116, Average Loss  0.613670, Time  0.221373
2021-09-21 18:46:20.379674 : Epoch  4, Batch    108, Loss  0.610205, Average Loss  0.613710, Time  0.221102
2021-09-21 18:46:21.838199 : Epoch  4, Batch    109, Loss  0.607237, Average Loss  0.613694, Time  0.221667
2021-09-21 18:46:23.299677 : Epoch  4, Batch    110, Loss  0.622157, Average Loss  0.613759, Time  0.221248
2021-09-21 18:46:27.125458 : Epoch  4, Batch    111, Loss  0.627763, Average Loss  0.613845, Time  0.257266
2021-09-21 18:46:28.602927 : Epoch  4, Batch    112, Loss  0.628579, Average Loss  0.613950, Time  0.242488
2021-09-21 18:46:30.081621 : Epoch  4, Batch    113, Loss  0.627790, Average Loss  0.613943, Time  0.228231
2021-09-21 18:46:31.534890 : Epoch  4, Batch    114, Loss  0.626559, Average Loss  0.614013, Time  0.221047
2021-09-21 18:46:32.994001 : Epoch  4, Batch    115, Loss  0.621977, Average Loss  0.614055, Time  0.221706
2021-09-21 18:46:34.455972 : Epoch  4, Batch    116, Loss  0.609714, Average Loss  0.614024, Time  0.221376
2021-09-21 18:46:35.923726 : Epoch  4, Batch    117, Loss  0.631415, Average Loss  0.614164, Time  0.221580
2021-09-21 18:46:37.383693 : Epoch  4, Batch    118, Loss  0.623512, Average Loss  0.614175, Time  0.221212
2021-09-21 18:46:38.834128 : Epoch  4, Batch    119, Loss  0.622972, Average Loss  0.614285, Time  0.221195
2021-09-21 18:46:40.288674 : Epoch  4, Batch    120, Loss  0.625083, Average Loss  0.614273, Time  0.221949
2021-09-21 18:46:41.748719 : Epoch  4, Batch    121, Loss  0.615612, Average Loss  0.614333, Time  0.221104
2021-09-21 18:46:43.209779 : Epoch  4, Batch    122, Loss  0.609750, Average Loss  0.614323, Time  0.221734
2021-09-21 18:46:44.659540 : Epoch  4, Batch    123, Loss  0.634134, Average Loss  0.614391, Time  0.221350
2021-09-21 18:46:46.116949 : Epoch  4, Batch    124, Loss  0.613402, Average Loss  0.614385, Time  0.221141
2021-09-21 18:46:47.578944 : Epoch  4, Batch    125, Loss  0.620260, Average Loss  0.614479, Time  0.221871
2021-09-21 18:46:49.035920 : Epoch  4, Batch    126, Loss  0.616865, Average Loss  0.614520, Time  0.221053
2021-09-21 18:46:50.491146 : Epoch  4, Batch    127, Loss  0.606734, Average Loss  0.614485, Time  0.221196
2021-09-21 18:46:51.953144 : Epoch  4, Batch    128, Loss  0.622782, Average Loss  0.614566, Time  0.221373
2021-09-21 18:46:53.413886 : Epoch  4, Batch    129, Loss  0.619378, Average Loss  0.614623, Time  0.221633
2021-09-21 18:46:54.865908 : Epoch  4, Batch    130, Loss  0.615308, Average Loss  0.614609, Time  0.221451
2021-09-21 18:46:56.323880 : Epoch  4, Batch    131, Loss  0.613272, Average Loss  0.614640, Time  0.221354
2021-09-21 18:46:57.774069 : Epoch  4, Batch    132, Loss  0.606047, Average Loss  0.614617, Time  0.221099
2021-09-21 18:46:59.225137 : Epoch  4, Batch    133, Loss  0.615068, Average Loss  0.614615, Time  0.221193
2021-09-21 18:47:00.691177 : Epoch  4, Batch    134, Loss  0.610450, Average Loss  0.614591, Time  0.221352
2021-09-21 18:47:02.135713 : Epoch  4, Batch    135, Loss  0.607535, Average Loss  0.614534, Time  0.221005
2021-09-21 18:47:03.586906 : Epoch  4, Batch    136, Loss  0.611237, Average Loss  0.614563, Time  0.221051
2021-09-21 18:47:05.039116 : Epoch  4, Batch    137, Loss  0.600978, Average Loss  0.614463, Time  0.221357
2021-09-21 18:47:06.502872 : Epoch  4, Batch    138, Loss  0.622943, Average Loss  0.614545, Time  0.221206
2021-09-21 18:47:07.961937 : Epoch  4, Batch    139, Loss  0.624971, Average Loss  0.614557, Time  0.221202
2021-09-21 18:48:02.965682 : CheckPoint: Validation Loss  0.00025341, Best Loss  0.00025156
2021-09-21 18:48:04.433891 : Epoch  4, Batch    140, Loss  0.627493, Average Loss  0.614599, Time  0.221908
2021-09-21 18:48:05.890724 : Epoch  4, Batch    141, Loss  0.622906, Average Loss  0.614617, Time  0.221352
2021-09-21 18:48:07.356040 : Epoch  4, Batch    142, Loss  0.623416, Average Loss  0.614693, Time  0.221239
2021-09-21 18:48:08.814119 : Epoch  4, Batch    143, Loss  0.611635, Average Loss  0.614668, Time  0.221088
2021-09-21 18:48:10.276891 : Epoch  4, Batch    144, Loss  0.611591, Average Loss  0.614671, Time  0.221270
2021-09-21 18:48:11.730908 : Epoch  4, Batch    145, Loss  0.613738, Average Loss  0.614644, Time  0.221038
2021-09-21 18:48:13.184449 : Epoch  4, Batch    146, Loss  0.620562, Average Loss  0.614691, Time  0.221348
2021-09-21 18:48:14.657731 : Epoch  4, Batch    147, Loss  0.617327, Average Loss  0.614726, Time  0.221656
2021-09-21 18:48:16.109981 : Epoch  4, Batch    148, Loss  0.599532, Average Loss  0.614642, Time  0.220969
2021-09-21 18:48:17.567178 : Epoch  4, Batch    149, Loss  0.617325, Average Loss  0.614651, Time  0.221428
2021-09-21 18:48:19.040680 : Epoch  4, Batch    150, Loss  0.615030, Average Loss  0.614661, Time  0.221109
2021-09-21 18:48:20.494693 : Epoch  4, Batch    151, Loss  0.615067, Average Loss  0.614671, Time  0.221392
2021-09-21 18:48:21.956754 : Epoch  4, Batch    152, Loss  0.618587, Average Loss  0.614700, Time  0.221332
2021-09-21 18:48:23.413907 : Epoch  4, Batch    153, Loss  0.605369, Average Loss  0.614664, Time  0.221501
2021-09-21 18:48:24.861140 : Epoch  4, Batch    154, Loss  0.603328, Average Loss  0.614681, Time  0.221236
2021-09-21 18:48:26.320114 : Epoch  4, Batch    155, Loss  0.612239, Average Loss  0.614700, Time  0.221383
2021-09-21 18:48:27.776155 : Epoch  4, Batch    156, Loss  0.617573, Average Loss  0.614716, Time  0.221956
2021-09-21 18:48:29.232700 : Epoch  4, Batch    157, Loss  0.607643, Average Loss  0.614665, Time  0.220983
2021-09-21 18:48:30.686113 : Epoch  4, Batch    158, Loss  0.612913, Average Loss  0.614657, Time  0.221015
2021-09-21 18:48:32.138141 : Epoch  4, Batch    159, Loss  0.614541, Average Loss  0.614645, Time  0.221566
2021-09-21 18:48:33.640972 : Epoch  4, Batch    160, Loss  0.611016, Average Loss  0.614660, Time  0.221672
2021-09-21 18:48:35.089885 : Epoch  4, Batch    161, Loss  0.611339, Average Loss  0.614640, Time  0.221645
2021-09-21 18:48:36.540124 : Epoch  4, Batch    162, Loss  0.617678, Average Loss  0.614693, Time  0.221398
2021-09-21 18:48:37.997853 : Epoch  4, Batch    163, Loss  0.617629, Average Loss  0.614695, Time  0.221634
2021-09-21 18:48:39.464929 : Epoch  4, Batch    164, Loss  0.605271, Average Loss  0.614590, Time  0.221604
2021-09-21 18:48:40.922106 : Epoch  4, Batch    165, Loss  0.608151, Average Loss  0.614600, Time  0.221581
2021-09-21 18:48:42.374106 : Epoch  4, Batch    166, Loss  0.616424, Average Loss  0.614597, Time  0.221113
2021-09-21 18:48:43.821931 : Epoch  4, Batch    167, Loss  0.604942, Average Loss  0.614571, Time  0.221147
2021-09-21 18:48:45.270100 : Epoch  4, Batch    168, Loss  0.605214, Average Loss  0.614597, Time  0.221059
2021-09-21 18:48:46.720011 : Epoch  4, Batch    169, Loss  0.606296, Average Loss  0.614565, Time  0.221418
2021-09-21 18:48:48.172930 : Epoch  4, Batch    170, Loss  0.601441, Average Loss  0.614466, Time  0.221043
2021-09-21 18:48:49.627970 : Epoch  4, Batch    171, Loss  0.603220, Average Loss  0.614357, Time  0.221339
2021-09-21 18:48:51.090929 : Epoch  4, Batch    172, Loss  0.615910, Average Loss  0.614357, Time  0.222064
2021-09-21 18:48:52.556160 : Epoch  4, Batch    173, Loss  0.618828, Average Loss  0.614322, Time  0.221518
2021-09-21 18:48:54.004739 : Epoch  4, Batch    174, Loss  0.607002, Average Loss  0.614276, Time  0.221184
2021-09-21 18:48:55.447006 : Epoch  4, Batch    175, Loss  0.612376, Average Loss  0.614271, Time  0.221084
2021-09-21 18:48:56.905703 : Epoch  4, Batch    176, Loss  0.607967, Average Loss  0.614282, Time  0.221534
2021-09-21 18:48:58.368109 : Epoch  4, Batch    177, Loss  0.609037, Average Loss  0.614223, Time  0.221130
2021-09-21 18:48:59.830894 : Epoch  4, Batch    178, Loss  0.608824, Average Loss  0.614195, Time  0.221044
2021-09-21 18:49:01.295888 : Epoch  4, Batch    179, Loss  0.599285, Average Loss  0.614132, Time  0.221383
2021-09-21 18:49:02.761803 : Epoch  4, Batch    180, Loss  0.613191, Average Loss  0.614141, Time  0.221075
2021-09-21 18:49:04.217703 : Epoch  4, Batch    181, Loss  0.602725, Average Loss  0.614106, Time  0.221230
2021-09-21 18:49:05.680766 : Epoch  4, Batch    182, Loss  0.624556, Average Loss  0.614141, Time  0.221282
2021-09-21 18:49:07.140108 : Epoch  4, Batch    183, Loss  0.608528, Average Loss  0.614153, Time  0.221106
2021-09-21 18:49:08.594793 : Epoch  4, Batch    184, Loss  0.616364, Average Loss  0.614166, Time  0.221067
2021-09-21 18:49:10.060732 : Epoch  4, Batch    185, Loss  0.613799, Average Loss  0.614134, Time  0.221274
2021-09-21 18:49:11.523197 : Epoch  4, Batch    186, Loss  0.619592, Average Loss  0.614153, Time  0.221153
2021-09-21 18:49:12.984693 : Epoch  4, Batch    187, Loss  0.619457, Average Loss  0.614202, Time  0.221464
2021-09-21 18:49:14.447697 : Epoch  4, Batch    188, Loss  0.612155, Average Loss  0.614223, Time  0.221143
2021-09-21 18:49:15.908134 : Epoch  4, Batch    189, Loss  0.613396, Average Loss  0.614233, Time  0.221311
2021-09-21 18:49:17.364740 : Epoch  4, Batch    190, Loss  0.613397, Average Loss  0.614267, Time  0.223279
2021-09-21 18:49:18.821001 : Epoch  4, Batch    191, Loss  0.609653, Average Loss  0.614242, Time  0.221155
2021-09-21 18:49:20.301389 : Epoch  4, Batch    192, Loss  0.599637, Average Loss  0.614130, Time  0.221075
2021-09-21 18:49:21.748319 : Epoch  4, Batch    193, Loss  0.607687, Average Loss  0.614098, Time  0.222528
2021-09-21 18:49:23.209371 : Epoch  4, Batch    194, Loss  0.615682, Average Loss  0.614127, Time  0.222149
2021-09-21 18:49:24.681727 : Epoch  4, Batch    195, Loss  0.610893, Average Loss  0.614079, Time  0.222404
2021-09-21 18:49:26.143963 : Epoch  4, Batch    196, Loss  0.614065, Average Loss  0.614050, Time  0.223284
2021-09-21 18:49:27.597365 : Epoch  4, Batch    197, Loss  0.612912, Average Loss  0.614030, Time  0.221995
2021-09-21 18:49:29.066907 : Epoch  4, Batch    198, Loss  0.612636, Average Loss  0.614000, Time  0.221661
2021-09-21 18:49:30.534962 : Epoch  4, Batch    199, Loss  0.610284, Average Loss  0.613995, Time  0.221808
2021-09-21 18:49:32.007728 : Epoch  4, Batch    200, Loss  0.617036, Average Loss  0.614015, Time  0.222541
2021-09-21 18:49:33.460991 : Epoch  4, Batch    201, Loss  0.612060, Average Loss  0.614047, Time  0.221239
2021-09-21 18:49:34.917026 : Epoch  4, Batch    202, Loss  0.611835, Average Loss  0.614052, Time  0.221596
2021-09-21 18:49:36.377917 : Epoch  4, Batch    203, Loss  0.608416, Average Loss  0.614023, Time  0.221300
2021-09-21 18:49:37.846989 : Epoch  4, Batch    204, Loss  0.619636, Average Loss  0.613988, Time  0.221563
2021-09-21 18:49:39.308749 : Epoch  4, Batch    205, Loss  0.601116, Average Loss  0.613964, Time  0.221418
2021-09-21 18:49:40.764992 : Epoch  4, Batch    206, Loss  0.617363, Average Loss  0.613930, Time  0.221332
2021-09-21 18:49:42.230145 : Epoch  4, Batch    207, Loss  0.609976, Average Loss  0.613873, Time  0.221903
2021-09-21 18:49:43.682132 : Epoch  4, Batch    208, Loss  0.595825, Average Loss  0.613774, Time  0.221473
2021-09-21 18:49:45.151888 : Epoch  4, Batch    209, Loss  0.626558, Average Loss  0.613806, Time  0.221850
2021-09-21 18:49:49.011105 : Epoch  4, Batch    210, Loss  0.603705, Average Loss  0.613799, Time  0.238730
2021-09-21 18:49:50.463080 : Epoch  4, Batch    211, Loss  0.610556, Average Loss  0.613759, Time  0.221138
2021-09-21 18:49:51.913088 : Epoch  4, Batch    212, Loss  0.603595, Average Loss  0.613698, Time  0.221198
2021-09-21 18:49:53.356936 : Epoch  4, Batch    213, Loss  0.613533, Average Loss  0.613703, Time  0.221261
2021-09-21 18:49:54.822863 : Epoch  4, Batch    214, Loss  0.614591, Average Loss  0.613729, Time  0.223352
2021-09-21 18:49:56.288921 : Epoch  4, Batch    215, Loss  0.604138, Average Loss  0.613595, Time  0.228037
2021-09-21 18:49:57.758713 : Epoch  4, Batch    216, Loss  0.607069, Average Loss  0.613540, Time  0.221855
2021-09-21 18:49:59.234949 : Epoch  4, Batch    217, Loss  0.618556, Average Loss  0.613576, Time  0.221446
2021-09-21 18:50:00.709712 : Epoch  4, Batch    218, Loss  0.625982, Average Loss  0.613590, Time  0.221455
2021-09-21 18:50:02.182109 : Epoch  4, Batch    219, Loss  0.617887, Average Loss  0.613575, Time  0.226487
2021-09-21 18:50:03.647938 : Epoch  4, Batch    220, Loss  0.612225, Average Loss  0.613622, Time  0.221597
2021-09-21 18:50:05.129119 : Epoch  4, Batch    221, Loss  0.619446, Average Loss  0.613645, Time  0.221249
2021-09-21 18:50:06.593155 : Epoch  4, Batch    222, Loss  0.624033, Average Loss  0.613731, Time  0.221607
2021-09-21 18:50:08.036191 : Epoch  4, Batch    223, Loss  0.604234, Average Loss  0.613676, Time  0.221606
2021-09-21 18:50:09.486886 : Epoch  4, Batch    224, Loss  0.615059, Average Loss  0.613633, Time  0.221219
2021-09-21 18:50:10.940053 : Epoch  4, Batch    225, Loss  0.612992, Average Loss  0.613623, Time  0.221743
2021-09-21 18:50:12.395710 : Epoch  4, Batch    226, Loss  0.615136, Average Loss  0.613602, Time  0.222084
2021-09-21 18:50:13.852936 : Epoch  4, Batch    227, Loss  0.610899, Average Loss  0.613604, Time  0.222153
2021-09-21 18:50:15.297031 : Epoch  4, Batch    228, Loss  0.623681, Average Loss  0.613609, Time  0.221322
2021-09-21 18:50:16.748788 : Epoch  4, Batch    229, Loss  0.610584, Average Loss  0.613576, Time  0.221612
2021-09-21 18:50:18.205703 : Epoch  4, Batch    230, Loss  0.620891, Average Loss  0.613604, Time  0.221324
2021-09-21 18:50:19.664799 : Epoch  4, Batch    231, Loss  0.623364, Average Loss  0.613660, Time  0.223646
2021-09-21 18:50:21.119959 : Epoch  4, Batch    232, Loss  0.613814, Average Loss  0.613658, Time  0.221326
2021-09-21 18:50:22.578861 : Epoch  4, Batch    233, Loss  0.603055, Average Loss  0.613571, Time  0.221509
2021-09-21 18:50:24.034941 : Epoch  4, Batch    234, Loss  0.608108, Average Loss  0.613571, Time  0.221409
2021-09-21 18:50:25.493691 : Epoch  4, Batch    235, Loss  0.601800, Average Loss  0.613560, Time  0.221210
2021-09-21 18:50:26.940756 : Epoch  4, Batch    236, Loss  0.616566, Average Loss  0.613510, Time  0.221460
2021-09-21 18:50:28.401757 : Epoch  4, Batch    237, Loss  0.613563, Average Loss  0.613484, Time  0.221618
2021-09-21 18:50:29.855867 : Epoch  4, Batch    238, Loss  0.614775, Average Loss  0.613510, Time  0.221277
2021-09-21 18:50:31.307098 : Epoch  4, Batch    239, Loss  0.606331, Average Loss  0.613479, Time  0.221549
2021-09-21 18:51:26.177680 : CheckPoint: Validation Loss  0.00025922, Best Loss  0.00025156
2021-09-21 18:51:27.650996 : Epoch  4, Batch    240, Loss  0.607202, Average Loss  0.613480, Time  0.221971
2021-09-21 18:51:29.100212 : Epoch  4, Batch    241, Loss  0.604898, Average Loss  0.613393, Time  0.221211
2021-09-21 18:51:30.548189 : Epoch  4, Batch    242, Loss  0.614194, Average Loss  0.613389, Time  0.220978
2021-09-21 18:51:32.005166 : Epoch  4, Batch    243, Loss  0.609087, Average Loss  0.613343, Time  0.222139
2021-09-21 18:51:33.459939 : Epoch  4, Batch    244, Loss  0.616503, Average Loss  0.613365, Time  0.221827
2021-09-21 18:51:34.904445 : Epoch  4, Batch    245, Loss  0.624250, Average Loss  0.613471, Time  0.222426
2021-09-21 18:51:36.353045 : Epoch  4, Batch    246, Loss  0.609672, Average Loss  0.613441, Time  0.221220
2021-09-21 18:51:37.797441 : Epoch  4, Batch    247, Loss  0.619628, Average Loss  0.613527, Time  0.221833
2021-09-21 18:51:39.245689 : Epoch  4, Batch    248, Loss  0.617013, Average Loss  0.613499, Time  0.221241
2021-09-21 18:51:40.695683 : Epoch  4, Batch    249, Loss  0.606769, Average Loss  0.613480, Time  0.221326
2021-09-21 18:51:42.151033 : Epoch  4, Batch    250, Loss  0.607335, Average Loss  0.613482, Time  0.221914
2021-09-21 18:51:43.610933 : Epoch  4, Batch    251, Loss  0.621265, Average Loss  0.613527, Time  0.221529
2021-09-21 18:51:45.064106 : Epoch  4, Batch    252, Loss  0.610529, Average Loss  0.613509, Time  0.222466
2021-09-21 18:51:46.522492 : Epoch  4, Batch    253, Loss  0.614744, Average Loss  0.613443, Time  0.221828
2021-09-21 18:51:47.967030 : Epoch  4, Batch    254, Loss  0.610283, Average Loss  0.613364, Time  0.221030
2021-09-21 18:51:49.412946 : Epoch  4, Batch    255, Loss  0.601170, Average Loss  0.613354, Time  0.220969
2021-09-21 18:51:50.891172 : Epoch  4, Batch    256, Loss  0.602090, Average Loss  0.613368, Time  0.221164
2021-09-21 18:51:52.344180 : Epoch  4, Batch    257, Loss  0.604100, Average Loss  0.613346, Time  0.221104
2021-09-21 18:51:53.794980 : Epoch  4, Batch    258, Loss  0.621697, Average Loss  0.613421, Time  0.221606
2021-09-21 18:51:55.246933 : Epoch  4, Batch    259, Loss  0.608050, Average Loss  0.613373, Time  0.221348
2021-09-21 18:51:56.692188 : Epoch  4, Batch    260, Loss  0.619014, Average Loss  0.613443, Time  0.220876
2021-09-21 18:51:58.135494 : Epoch  4, Batch    261, Loss  0.611365, Average Loss  0.613433, Time  0.221454
2021-09-21 18:51:59.570747 : Epoch  4, Batch    262, Loss  0.612248, Average Loss  0.613404, Time  0.221550
2021-09-21 18:52:01.013015 : Epoch  4, Batch    263, Loss  0.610590, Average Loss  0.613364, Time  0.221558
2021-09-21 18:52:02.515685 : Epoch  4, Batch    264, Loss  0.608073, Average Loss  0.613379, Time  0.221807
2021-09-21 18:52:03.960738 : Epoch  4, Batch    265, Loss  0.610044, Average Loss  0.613395, Time  0.221402
2021-09-21 18:52:05.407209 : Epoch  4, Batch    266, Loss  0.613720, Average Loss  0.613381, Time  0.220774
2021-09-21 18:52:06.860188 : Epoch  4, Batch    267, Loss  0.611868, Average Loss  0.613344, Time  0.222090
2021-09-21 18:52:08.305198 : Epoch  4, Batch    268, Loss  0.600980, Average Loss  0.613280, Time  0.221224
2021-09-21 18:52:09.751019 : Epoch  4, Batch    269, Loss  0.610056, Average Loss  0.613390, Time  0.221538
2021-09-21 18:52:11.201760 : Epoch  4, Batch    270, Loss  0.593995, Average Loss  0.613311, Time  0.221334
2021-09-21 18:52:12.659980 : Epoch  4, Batch    271, Loss  0.601856, Average Loss  0.613271, Time  0.221385
2021-09-21 18:52:14.104002 : Epoch  4, Batch    272, Loss  0.602954, Average Loss  0.613277, Time  0.221182
2021-09-21 18:52:15.560053 : Epoch  4, Batch    273, Loss  0.616531, Average Loss  0.613307, Time  0.221411
2021-09-21 18:52:17.008981 : Epoch  4, Batch    274, Loss  0.601106, Average Loss  0.613276, Time  0.221135
2021-09-21 18:52:18.451153 : Epoch  4, Batch    275, Loss  0.622124, Average Loss  0.613299, Time  0.221516
2021-09-21 18:52:19.916716 : Epoch  4, Batch    276, Loss  0.594724, Average Loss  0.613202, Time  0.221050
2021-09-21 18:52:21.361186 : Epoch  4, Batch    277, Loss  0.621434, Average Loss  0.613195, Time  0.221315
2021-09-21 18:52:22.808830 : Epoch  4, Batch    278, Loss  0.609100, Average Loss  0.613144, Time  0.221028
2021-09-21 18:52:24.251979 : Epoch  4, Batch    279, Loss  0.621088, Average Loss  0.613192, Time  0.221290
2021-09-21 18:52:25.697705 : Epoch  4, Batch    280, Loss  0.610043, Average Loss  0.613171, Time  0.221317
2021-09-21 18:52:27.143923 : Epoch  4, Batch    281, Loss  0.610336, Average Loss  0.613178, Time  0.221527
2021-09-21 18:52:28.609920 : Epoch  4, Batch    282, Loss  0.617879, Average Loss  0.613197, Time  0.221089
2021-09-21 18:52:30.055043 : Epoch  4, Batch    283, Loss  0.610969, Average Loss  0.613182, Time  0.221376
2021-09-21 18:52:31.501929 : Epoch  4, Batch    284, Loss  0.607095, Average Loss  0.613185, Time  0.221022
2021-09-21 18:52:32.973702 : Epoch  4, Batch    285, Loss  0.624029, Average Loss  0.613289, Time  0.221511
2021-09-21 18:52:34.411892 : Epoch  4, Batch    286, Loss  0.602200, Average Loss  0.613217, Time  0.221436
2021-09-21 18:52:35.857859 : Epoch  4, Batch    287, Loss  0.609282, Average Loss  0.613169, Time  0.221203
2021-09-21 18:52:37.313994 : Epoch  4, Batch    288, Loss  0.599049, Average Loss  0.613139, Time  0.221891
2021-09-21 18:52:38.776754 : Epoch  4, Batch    289, Loss  0.610882, Average Loss  0.613125, Time  0.222565
2021-09-21 18:52:40.236418 : Epoch  4, Batch    290, Loss  0.612259, Average Loss  0.613153, Time  0.223158
2021-09-21 18:52:41.678645 : Epoch  4, Batch    291, Loss  0.610020, Average Loss  0.613123, Time  0.221841
2021-09-21 18:52:43.160034 : Epoch  4, Batch    292, Loss  0.601020, Average Loss  0.613031, Time  0.221220
2021-09-21 18:52:44.606920 : Epoch  4, Batch    293, Loss  0.612419, Average Loss  0.613001, Time  0.221391
2021-09-21 18:52:46.046972 : Epoch  4, Batch    294, Loss  0.612856, Average Loss  0.613015, Time  0.221306
2021-09-21 18:52:47.511054 : Epoch  4, Batch    295, Loss  0.597723, Average Loss  0.612919, Time  0.221909
2021-09-21 18:52:48.954018 : Epoch  4, Batch    296, Loss  0.612939, Average Loss  0.612947, Time  0.221511
2021-09-21 18:52:50.397975 : Epoch  4, Batch    297, Loss  0.605032, Average Loss  0.612925, Time  0.221194
2021-09-21 18:52:51.848929 : Epoch  4, Batch    298, Loss  0.604581, Average Loss  0.612818, Time  0.221482
2021-09-21 18:52:53.293953 : Epoch  4, Batch    299, Loss  0.607751, Average Loss  0.612774, Time  0.221473
2021-09-21 18:52:54.748984 : Epoch  4, Batch    300, Loss  0.597352, Average Loss  0.612711, Time  0.221354
2021-09-21 18:52:56.187690 : Epoch  4, Batch    301, Loss  0.605211, Average Loss  0.612686, Time  0.221216
2021-09-21 18:52:57.632554 : Epoch  4, Batch    302, Loss  0.595827, Average Loss  0.612586, Time  0.222048
2021-09-21 18:52:59.083254 : Epoch  4, Batch    303, Loss  0.619631, Average Loss  0.612667, Time  0.221679
2021-09-21 18:53:00.539933 : Epoch  4, Batch    304, Loss  0.596222, Average Loss  0.612632, Time  0.221454
2021-09-21 18:53:01.991205 : Epoch  4, Batch    305, Loss  0.611969, Average Loss  0.612607, Time  0.221480
2021-09-21 18:53:03.443969 : Epoch  4, Batch    306, Loss  0.614108, Average Loss  0.612436, Time  0.221373
2021-09-21 18:53:04.902191 : Epoch  4, Batch    307, Loss  0.601893, Average Loss  0.612259, Time  0.221666
2021-09-21 18:53:06.363960 : Epoch  4, Batch    308, Loss  0.608119, Average Loss  0.612249, Time  0.221326
2021-09-21 18:53:07.823974 : Epoch  4, Batch    309, Loss  0.607917, Average Loss  0.612252, Time  0.221235
2021-09-21 18:53:11.633941 : Epoch  4, Batch    310, Loss  0.614930, Average Loss  0.612216, Time  0.257444
2021-09-21 18:53:13.093994 : Epoch  4, Batch    311, Loss  0.614352, Average Loss  0.612149, Time  0.243004
2021-09-21 18:53:14.584197 : Epoch  4, Batch    312, Loss  0.603160, Average Loss  0.612022, Time  0.227866
2021-09-21 18:53:16.043760 : Epoch  4, Batch    313, Loss  0.611778, Average Loss  0.611942, Time  0.221331
2021-09-21 18:53:17.606984 : Epoch  4, Batch    314, Loss  0.611631, Average Loss  0.611867, Time  0.221293
2021-09-21 18:53:19.053059 : Epoch  4, Batch    315, Loss  0.610685, Average Loss  0.611811, Time  0.221164
2021-09-21 18:53:20.489006 : Epoch  4, Batch    316, Loss  0.604898, Average Loss  0.611787, Time  0.221326
2021-09-21 18:53:21.935971 : Epoch  4, Batch    317, Loss  0.610902, Average Loss  0.611684, Time  0.221418
2021-09-21 18:53:23.387753 : Epoch  4, Batch    318, Loss  0.614423, Average Loss  0.611639, Time  0.221017
2021-09-21 18:53:24.828692 : Epoch  4, Batch    319, Loss  0.614315, Average Loss  0.611596, Time  0.221210
2021-09-21 18:53:26.271911 : Epoch  4, Batch    320, Loss  0.612635, Average Loss  0.611533, Time  0.221193
2021-09-21 18:53:27.715999 : Epoch  4, Batch    321, Loss  0.622385, Average Loss  0.611567, Time  0.221355
2021-09-21 18:53:29.165214 : Epoch  4, Batch    322, Loss  0.617223, Average Loss  0.611605, Time  0.221393
2021-09-21 18:53:30.613244 : Epoch  4, Batch    323, Loss  0.614824, Average Loss  0.611508, Time  0.221915
2021-09-21 18:53:32.056035 : Epoch  4, Batch    324, Loss  0.608121, Average Loss  0.611482, Time  0.221641
2021-09-21 18:53:33.502216 : Epoch  4, Batch    325, Loss  0.607353, Average Loss  0.611417, Time  0.221127
2021-09-21 18:53:34.950084 : Epoch  4, Batch    326, Loss  0.605009, Average Loss  0.611358, Time  0.222803
2021-09-21 18:53:36.395745 : Epoch  4, Batch    327, Loss  0.607886, Average Loss  0.611364, Time  0.221066
2021-09-21 18:53:37.836991 : Epoch  4, Batch    328, Loss  0.598977, Average Loss  0.611244, Time  0.221313
2021-09-21 18:53:39.273762 : Epoch  4, Batch    329, Loss  0.617627, Average Loss  0.611236, Time  0.221674
2021-09-21 18:53:40.712033 : Epoch  4, Batch    330, Loss  0.608624, Average Loss  0.611202, Time  0.221567
2021-09-21 18:53:42.161493 : Epoch  4, Batch    331, Loss  0.601964, Average Loss  0.611146, Time  0.221960
2021-09-21 18:53:43.610957 : Epoch  4, Batch    332, Loss  0.606114, Average Loss  0.611146, Time  0.221443
2021-09-21 18:53:45.063961 : Epoch  4, Batch    333, Loss  0.616740, Average Loss  0.611154, Time  0.221489
2021-09-21 18:53:46.500694 : Epoch  4, Batch    334, Loss  0.611017, Average Loss  0.611157, Time  0.220991
2021-09-21 18:53:47.942088 : Epoch  4, Batch    335, Loss  0.614679, Average Loss  0.611193, Time  0.221730
2021-09-21 18:53:49.381236 : Epoch  4, Batch    336, Loss  0.618380, Average Loss  0.611229, Time  0.221082
2021-09-21 18:53:50.824205 : Epoch  4, Batch    337, Loss  0.608968, Average Loss  0.611269, Time  0.221303
2021-09-21 18:53:52.267197 : Epoch  4, Batch    338, Loss  0.614249, Average Loss  0.611225, Time  0.221299
2021-09-21 18:53:53.714201 : Epoch  4, Batch    339, Loss  0.606550, Average Loss  0.611133, Time  0.221213
2021-09-21 18:54:48.623684 : CheckPoint: Validation Loss  0.00025433, Best Loss  0.00025156
2021-09-21 18:54:50.096136 : Epoch  4, Batch    340, Loss  0.620459, Average Loss  0.611098, Time  0.222387
2021-09-21 18:54:51.555727 : Epoch  4, Batch    341, Loss  0.617708, Average Loss  0.611072, Time  0.221079
2021-09-21 18:54:53.036706 : Epoch  4, Batch    342, Loss  0.612497, Average Loss  0.611017, Time  0.221048
2021-09-21 18:54:54.598924 : Epoch  4, Batch    343, Loss  0.600518, Average Loss  0.610962, Time  0.221419
2021-09-21 18:54:56.052053 : Epoch  4, Batch    344, Loss  0.633617, Average Loss  0.611072, Time  0.221275
2021-09-21 18:54:57.527210 : Epoch  4, Batch    345, Loss  0.605753, Average Loss  0.611032, Time  0.223357
2021-09-21 18:54:58.985666 : Epoch  4, Batch    346, Loss  0.614432, Average Loss  0.611001, Time  0.221632
2021-09-21 18:55:00.444258 : Epoch  4, Batch    347, Loss  0.593131, Average Loss  0.610880, Time  0.221312
2021-09-21 18:55:01.924022 : Epoch  4, Batch    348, Loss  0.614056, Average Loss  0.610953, Time  0.221228
2021-09-21 18:55:03.384927 : Epoch  4, Batch    349, Loss  0.629582, Average Loss  0.611014, Time  0.221410
2021-09-21 18:55:04.858138 : Epoch  4, Batch    350, Loss  0.616486, Average Loss  0.611022, Time  0.221256
2021-09-21 18:55:06.337234 : Epoch  4, Batch    351, Loss  0.604392, Average Loss  0.610968, Time  0.221548
2021-09-21 18:55:07.788976 : Epoch  4, Batch    352, Loss  0.615377, Average Loss  0.610952, Time  0.221361
2021-09-21 18:55:09.250069 : Epoch  4, Batch    353, Loss  0.607941, Average Loss  0.610965, Time  0.221179
2021-09-21 18:55:10.751385 : Epoch  4, Batch    354, Loss  0.624770, Average Loss  0.611072, Time  0.221122
2021-09-21 18:55:12.199072 : Epoch  4, Batch    355, Loss  0.611760, Average Loss  0.611070, Time  0.221045
2021-09-21 18:55:13.648748 : Epoch  4, Batch    356, Loss  0.616183, Average Loss  0.611063, Time  0.221270
2021-09-21 18:55:15.104847 : Epoch  4, Batch    357, Loss  0.609713, Average Loss  0.611073, Time  0.221432
2021-09-21 18:55:16.559869 : Epoch  4, Batch    358, Loss  0.604769, Average Loss  0.611032, Time  0.221295
2021-09-21 18:55:18.025009 : Epoch  4, Batch    359, Loss  0.619618, Average Loss  0.611058, Time  0.221712
2021-09-21 18:55:19.482718 : Epoch  4, Batch    360, Loss  0.620198, Average Loss  0.611104, Time  0.222167
2021-09-21 18:55:20.943213 : Epoch  4, Batch    361, Loss  0.610890, Average Loss  0.611102, Time  0.221473
2021-09-21 18:55:22.401799 : Epoch  4, Batch    362, Loss  0.618847, Average Loss  0.611107, Time  0.221153
2021-09-21 18:55:23.865247 : Epoch  4, Batch    363, Loss  0.613867, Average Loss  0.611089, Time  0.221819
2021-09-21 18:55:25.314220 : Epoch  4, Batch    364, Loss  0.612036, Average Loss  0.611122, Time  0.221271
2021-09-21 18:55:26.774860 : Epoch  4, Batch    365, Loss  0.619170, Average Loss  0.611177, Time  0.221198
2021-09-21 18:55:28.229094 : Epoch  4, Batch    366, Loss  0.614846, Average Loss  0.611170, Time  0.221164
2021-09-21 18:55:29.685995 : Epoch  4, Batch    367, Loss  0.605068, Average Loss  0.611170, Time  0.221419
2021-09-21 18:55:31.147779 : Epoch  4, Batch    368, Loss  0.615919, Average Loss  0.611224, Time  0.221151
2021-09-21 18:55:32.609256 : Epoch  4, Batch    369, Loss  0.611267, Average Loss  0.611249, Time  0.221494
2021-09-21 18:55:34.089039 : Epoch  4, Batch    370, Loss  0.610360, Average Loss  0.611293, Time  0.221239
2021-09-21 18:55:35.541745 : Epoch  4, Batch    371, Loss  0.599390, Average Loss  0.611274, Time  0.221425
2021-09-21 18:55:37.008096 : Epoch  4, Batch    372, Loss  0.620722, Average Loss  0.611298, Time  0.221561
2021-09-21 18:55:38.604685 : Epoch  4, Batch    373, Loss  0.617000, Average Loss  0.611289, Time  0.221385
2021-09-21 18:55:40.063917 : Epoch  4, Batch    374, Loss  0.611836, Average Loss  0.611313, Time  0.221340
2021-09-21 18:55:41.514000 : Epoch  4, Batch    375, Loss  0.606428, Average Loss  0.611283, Time  0.221206
2021-09-21 18:55:42.971680 : Epoch  4, Batch    376, Loss  0.612732, Average Loss  0.611307, Time  0.221414
2021-09-21 18:55:44.426197 : Epoch  4, Batch    377, Loss  0.615344, Average Loss  0.611339, Time  0.221629
2021-09-21 18:55:45.876974 : Epoch  4, Batch    378, Loss  0.616179, Average Loss  0.611376, Time  0.221151
2021-09-21 18:55:47.361440 : Epoch  4, Batch    379, Loss  0.609645, Average Loss  0.611427, Time  0.221452
2021-09-21 18:55:48.821754 : Epoch  4, Batch    380, Loss  0.611167, Average Loss  0.611417, Time  0.221574
2021-09-21 18:55:50.280694 : Epoch  4, Batch    381, Loss  0.617739, Average Loss  0.611492, Time  0.221503
2021-09-21 18:55:51.734107 : Epoch  4, Batch    382, Loss  0.608142, Average Loss  0.611410, Time  0.221157
2021-09-21 18:55:53.202811 : Epoch  4, Batch    383, Loss  0.607025, Average Loss  0.611403, Time  0.221228
2021-09-21 18:55:54.654216 : Epoch  4, Batch    384, Loss  0.606661, Average Loss  0.611354, Time  0.221360
2021-09-21 18:55:56.105937 : Epoch  4, Batch    385, Loss  0.594868, Average Loss  0.611260, Time  0.221004
2021-09-21 18:55:57.562741 : Epoch  4, Batch    386, Loss  0.622586, Average Loss  0.611274, Time  0.221206
2021-09-21 18:55:59.022105 : Epoch  4, Batch    387, Loss  0.610108, Average Loss  0.611228, Time  0.221288
2021-09-21 18:56:00.475686 : Epoch  4, Batch    388, Loss  0.618307, Average Loss  0.611259, Time  0.221172
2021-09-21 18:56:01.940766 : Epoch  4, Batch    389, Loss  0.622369, Average Loss  0.611303, Time  0.221425
2021-09-21 18:56:03.397987 : Epoch  4, Batch    390, Loss  0.614552, Average Loss  0.611309, Time  0.222200
2021-09-21 18:56:04.844935 : Epoch  4, Batch    391, Loss  0.611679, Average Loss  0.611319, Time  0.221188
2021-09-21 18:56:06.293003 : Epoch  4, Batch    392, Loss  0.620907, Average Loss  0.611426, Time  0.221258
2021-09-21 18:56:07.747012 : Epoch  4, Batch    393, Loss  0.615179, Average Loss  0.611463, Time  0.221425
2021-09-21 18:56:09.202966 : Epoch  4, Batch    394, Loss  0.604525, Average Loss  0.611407, Time  0.221261
2021-09-21 18:56:10.656770 : Epoch  4, Batch    395, Loss  0.611237, Average Loss  0.611409, Time  0.221502
2021-09-21 18:56:12.114208 : Epoch  4, Batch    396, Loss  0.612361, Average Loss  0.611401, Time  0.221294
2021-09-21 18:56:13.568238 : Epoch  4, Batch    397, Loss  0.610148, Average Loss  0.611387, Time  0.221775
2021-09-21 18:56:15.020712 : Epoch  4, Batch    398, Loss  0.614734, Average Loss  0.611397, Time  0.221364
2021-09-21 18:56:16.475055 : Epoch  4, Batch    399, Loss  0.615980, Average Loss  0.611426, Time  0.221450
2021-09-21 18:56:17.922240 : Epoch  4, Batch    400, Loss  0.616583, Average Loss  0.611423, Time  0.221602
2021-09-21 18:56:19.375212 : Epoch  4, Batch    401, Loss  0.612984, Average Loss  0.611428, Time  0.221378
2021-09-21 18:56:20.830216 : Epoch  4, Batch    402, Loss  0.597526, Average Loss  0.611356, Time  0.221345
2021-09-21 18:56:22.282118 : Epoch  4, Batch    403, Loss  0.609188, Average Loss  0.611360, Time  0.221257
2021-09-21 18:56:23.731051 : Epoch  4, Batch    404, Loss  0.598203, Average Loss  0.611253, Time  0.221574
2021-09-21 18:56:25.190198 : Epoch  4, Batch    405, Loss  0.604678, Average Loss  0.611271, Time  0.221242
2021-09-21 18:56:26.642507 : Epoch  4, Batch    406, Loss  0.618764, Average Loss  0.611278, Time  0.221390
2021-09-21 18:56:28.110928 : Epoch  4, Batch    407, Loss  0.621980, Average Loss  0.611338, Time  0.221325
2021-09-21 18:56:29.565143 : Epoch  4, Batch    408, Loss  0.612884, Average Loss  0.611423, Time  0.221134
2021-09-21 18:56:31.020961 : Epoch  4, Batch    409, Loss  0.614408, Average Loss  0.611363, Time  0.221291
2021-09-21 18:56:34.760009 : Epoch  4, Batch    410, Loss  0.610268, Average Loss  0.611395, Time  0.260132
2021-09-21 18:56:36.225556 : Epoch  4, Batch    411, Loss  0.609490, Average Loss  0.611390, Time  0.242817
2021-09-21 18:56:37.681203 : Epoch  4, Batch    412, Loss  0.626255, Average Loss  0.611503, Time  0.224583
2021-09-21 18:56:39.140939 : Epoch  4, Batch    413, Loss  0.605950, Average Loss  0.611465, Time  0.221597
2021-09-21 18:56:40.595695 : Epoch  4, Batch    414, Loss  0.603999, Average Loss  0.611412, Time  0.221678
2021-09-21 18:56:42.043196 : Epoch  4, Batch    415, Loss  0.610602, Average Loss  0.611445, Time  0.221391
2021-09-21 18:56:43.501964 : Epoch  4, Batch    416, Loss  0.607376, Average Loss  0.611446, Time  0.221284
2021-09-21 18:56:44.945494 : Epoch  4, Batch    417, Loss  0.602801, Average Loss  0.611368, Time  0.221075
2021-09-21 18:56:46.393011 : Epoch  4, Batch    418, Loss  0.612968, Average Loss  0.611302, Time  0.221035
2021-09-21 18:56:47.846868 : Epoch  4, Batch    419, Loss  0.613884, Average Loss  0.611282, Time  0.221376
2021-09-21 18:56:49.304932 : Epoch  4, Batch    420, Loss  0.607034, Average Loss  0.611256, Time  0.222276
2021-09-21 18:56:50.761842 : Epoch  4, Batch    421, Loss  0.608055, Average Loss  0.611200, Time  0.221446
2021-09-21 18:56:52.227692 : Epoch  4, Batch    422, Loss  0.606025, Average Loss  0.611109, Time  0.221301
2021-09-21 18:56:53.682686 : Epoch  4, Batch    423, Loss  0.606990, Average Loss  0.611123, Time  0.221239
2021-09-21 18:56:55.137028 : Epoch  4, Batch    424, Loss  0.615849, Average Loss  0.611127, Time  0.221208
2021-09-21 18:56:56.596061 : Epoch  4, Batch    425, Loss  0.617808, Average Loss  0.611151, Time  0.221504
2021-09-21 18:56:58.053806 : Epoch  4, Batch    426, Loss  0.619381, Average Loss  0.611173, Time  0.221479
2021-09-21 18:56:59.522936 : Epoch  4, Batch    427, Loss  0.607846, Average Loss  0.611157, Time  0.221077
2021-09-21 18:57:00.989079 : Epoch  4, Batch    428, Loss  0.612311, Average Loss  0.611100, Time  0.221685
2021-09-21 18:57:02.442493 : Epoch  4, Batch    429, Loss  0.613387, Average Loss  0.611114, Time  0.221362
2021-09-21 18:57:03.898048 : Epoch  4, Batch    430, Loss  0.614693, Average Loss  0.611083, Time  0.221320
2021-09-21 18:57:05.359996 : Epoch  4, Batch    431, Loss  0.614979, Average Loss  0.611042, Time  0.221285
2021-09-21 18:57:06.828942 : Epoch  4, Batch    432, Loss  0.605614, Average Loss  0.611001, Time  0.221247
2021-09-21 18:57:08.293001 : Epoch  4, Batch    433, Loss  0.604109, Average Loss  0.611006, Time  0.221860
2021-09-21 18:57:09.749709 : Epoch  4, Batch    434, Loss  0.601415, Average Loss  0.610972, Time  0.221120
2021-09-21 18:57:11.205108 : Epoch  4, Batch    435, Loss  0.606423, Average Loss  0.610995, Time  0.221872
2021-09-21 18:57:12.670997 : Epoch  4, Batch    436, Loss  0.611282, Average Loss  0.610969, Time  0.221694
2021-09-21 18:57:14.131950 : Epoch  4, Batch    437, Loss  0.606824, Average Loss  0.610935, Time  0.221299
2021-09-21 18:57:15.590992 : Epoch  4, Batch    438, Loss  0.617107, Average Loss  0.610947, Time  0.221220
2021-09-21 18:57:17.043879 : Epoch  4, Batch    439, Loss  0.611742, Average Loss  0.610974, Time  0.221162
2021-09-21 18:58:11.767700 : CheckPoint: Validation Loss  0.00025744, Best Loss  0.00025156
2021-09-21 18:58:13.261960 : Epoch  4, Batch    440, Loss  0.605901, Average Loss  0.610968, Time  0.252432
2021-09-21 18:58:14.715122 : Epoch  4, Batch    441, Loss  0.619218, Average Loss  0.611039, Time  0.226025
2021-09-21 18:58:16.167707 : Epoch  4, Batch    442, Loss  0.605300, Average Loss  0.610995, Time  0.221193
2021-09-21 18:58:17.625909 : Epoch  4, Batch    443, Loss  0.628603, Average Loss  0.611092, Time  0.221437
2021-09-21 18:58:19.078789 : Epoch  4, Batch    444, Loss  0.621338, Average Loss  0.611116, Time  0.221036
2021-09-21 18:58:20.526902 : Epoch  4, Batch    445, Loss  0.622413, Average Loss  0.611107, Time  0.221284
2021-09-21 18:58:21.975139 : Epoch  4, Batch    446, Loss  0.619124, Average Loss  0.611154, Time  0.221132
2021-09-21 18:58:23.428772 : Epoch  4, Batch    447, Loss  0.615916, Average Loss  0.611136, Time  0.221530
2021-09-21 18:58:24.877999 : Epoch  4, Batch    448, Loss  0.623661, Average Loss  0.611169, Time  0.221245
2021-09-21 18:58:26.327041 : Epoch  4, Batch    449, Loss  0.611439, Average Loss  0.611193, Time  0.221402
2021-09-21 18:58:27.789682 : Epoch  4, Batch    450, Loss  0.622577, Average Loss  0.611269, Time  0.221440
2021-09-21 18:58:29.249756 : Epoch  4, Batch    451, Loss  0.604036, Average Loss  0.611183, Time  0.221483
2021-09-21 18:58:30.705860 : Epoch  4, Batch    452, Loss  0.598656, Average Loss  0.611123, Time  0.221230
2021-09-21 18:58:32.164922 : Epoch  4, Batch    453, Loss  0.602837, Average Loss  0.611064, Time  0.221227
2021-09-21 18:58:33.614161 : Epoch  4, Batch    454, Loss  0.607725, Average Loss  0.611051, Time  0.221201
2021-09-21 18:58:35.077908 : Epoch  4, Batch    455, Loss  0.596659, Average Loss  0.611028, Time  0.221466
2021-09-21 18:58:36.524994 : Epoch  4, Batch    456, Loss  0.608527, Average Loss  0.611061, Time  0.221148
2021-09-21 18:58:37.986022 : Epoch  4, Batch    457, Loss  0.613281, Average Loss  0.611106, Time  0.221800
2021-09-21 18:58:39.439943 : Epoch  4, Batch    458, Loss  0.604384, Average Loss  0.611020, Time  0.221072
2021-09-21 18:58:40.902922 : Epoch  4, Batch    459, Loss  0.608884, Average Loss  0.611024, Time  0.221057
2021-09-21 18:58:42.348128 : Epoch  4, Batch    460, Loss  0.616630, Average Loss  0.611012, Time  0.221136
2021-09-21 18:58:43.799131 : Epoch  4, Batch    461, Loss  0.612277, Average Loss  0.611017, Time  0.221170
2021-09-21 18:58:45.255146 : Epoch  4, Batch    462, Loss  0.609382, Average Loss  0.611002, Time  0.225173
2021-09-21 18:58:46.725705 : Epoch  4, Batch    463, Loss  0.621964, Average Loss  0.611059, Time  0.221345
2021-09-21 18:58:48.188935 : Epoch  4, Batch    464, Loss  0.607720, Average Loss  0.611057, Time  0.221515
2021-09-21 18:58:49.639741 : Epoch  4, Batch    465, Loss  0.611019, Average Loss  0.611062, Time  0.221112
2021-09-21 18:58:51.090848 : Epoch  4, Batch    466, Loss  0.607937, Average Loss  0.611033, Time  0.220778
2021-09-21 18:58:52.546805 : Epoch  4, Batch    467, Loss  0.608523, Average Loss  0.611017, Time  0.223680
2021-09-21 18:58:54.006891 : Epoch  4, Batch    468, Loss  0.619077, Average Loss  0.611107, Time  0.221617
2021-09-21 18:58:55.450910 : Epoch  4, Batch    469, Loss  0.610490, Average Loss  0.611109, Time  0.221750
2021-09-21 18:58:56.903940 : Epoch  4, Batch    470, Loss  0.599765, Average Loss  0.611138, Time  0.221552
2021-09-21 18:58:58.353137 : Epoch  4, Batch    471, Loss  0.610249, Average Loss  0.611180, Time  0.221295
2021-09-21 18:58:59.801683 : Epoch  4, Batch    472, Loss  0.609039, Average Loss  0.611211, Time  0.221221
2021-09-21 18:59:01.253985 : Epoch  4, Batch    473, Loss  0.606918, Average Loss  0.611163, Time  0.221525
2021-09-21 18:59:02.710933 : Epoch  4, Batch    474, Loss  0.612916, Average Loss  0.611222, Time  0.221105
2021-09-21 18:59:04.174894 : Epoch  4, Batch    475, Loss  0.610081, Average Loss  0.611161, Time  0.221503
2021-09-21 18:59:05.651586 : Epoch  4, Batch    476, Loss  0.616824, Average Loss  0.611272, Time  0.221168
2021-09-21 18:59:07.106921 : Epoch  4, Batch    477, Loss  0.609167, Average Loss  0.611211, Time  0.221450
2021-09-21 18:59:08.567883 : Epoch  4, Batch    478, Loss  0.596902, Average Loss  0.611150, Time  0.221043
2021-09-21 18:59:10.019003 : Epoch  4, Batch    479, Loss  0.614430, Average Loss  0.611116, Time  0.221842
2021-09-21 18:59:11.477888 : Epoch  4, Batch    480, Loss  0.615766, Average Loss  0.611145, Time  0.221275
2021-09-21 18:59:12.939920 : Epoch  4, Batch    481, Loss  0.595714, Average Loss  0.611072, Time  0.221344
2021-09-21 18:59:14.390942 : Epoch  4, Batch    482, Loss  0.601843, Average Loss  0.610992, Time  0.221620
2021-09-21 18:59:15.835931 : Epoch  4, Batch    483, Loss  0.598494, Average Loss  0.610929, Time  0.221333
2021-09-21 18:59:17.289941 : Epoch  4, Batch    484, Loss  0.605539, Average Loss  0.610921, Time  0.221175
2021-09-21 18:59:18.748387 : Epoch  4, Batch    485, Loss  0.615823, Average Loss  0.610880, Time  0.221601
2021-09-21 18:59:20.218798 : Epoch  4, Batch    486, Loss  0.604982, Average Loss  0.610894, Time  0.221323
2021-09-21 18:59:21.676906 : Epoch  4, Batch    487, Loss  0.619350, Average Loss  0.610945, Time  0.221710
2021-09-21 18:59:23.137134 : Epoch  4, Batch    488, Loss  0.605626, Average Loss  0.610978, Time  0.220943
2021-09-21 18:59:24.603093 : Epoch  4, Batch    489, Loss  0.611231, Average Loss  0.610979, Time  0.221507
2021-09-21 18:59:26.070877 : Epoch  4, Batch    490, Loss  0.607512, Average Loss  0.610956, Time  0.221025
2021-09-21 18:59:27.543977 : Epoch  4, Batch    491, Loss  0.604891, Average Loss  0.610930, Time  0.221496
2021-09-21 18:59:29.001698 : Epoch  4, Batch    492, Loss  0.608561, Average Loss  0.610968, Time  0.221141
2021-09-21 18:59:30.451957 : Epoch  4, Batch    493, Loss  0.612537, Average Loss  0.610968, Time  0.221396
2021-09-21 18:59:31.900898 : Epoch  4, Batch    494, Loss  0.620044, Average Loss  0.611004, Time  0.221062
2021-09-21 18:59:33.356794 : Epoch  4, Batch    495, Loss  0.608421, Average Loss  0.611058, Time  0.221286
2021-09-21 18:59:34.818795 : Epoch  4, Batch    496, Loss  0.608515, Average Loss  0.611035, Time  0.221080
2021-09-21 18:59:36.277003 : Epoch  4, Batch    497, Loss  0.622222, Average Loss  0.611121, Time  0.221265
2021-09-21 18:59:37.739960 : Epoch  4, Batch    498, Loss  0.616017, Average Loss  0.611179, Time  0.221472
2021-09-21 18:59:39.204694 : Epoch  4, Batch    499, Loss  0.608191, Average Loss  0.611181, Time  0.221879
2021-09-21 18:59:40.667390 : Epoch  4, Batch    500, Loss  0.608053, Average Loss  0.611234, Time  0.221259
2021-09-21 18:59:42.115979 : Epoch  4, Batch    501, Loss  0.618829, Average Loss  0.611302, Time  0.221572
2021-09-21 18:59:43.576380 : Epoch  4, Batch    502, Loss  0.611154, Average Loss  0.611379, Time  0.221070
2021-09-21 18:59:45.020905 : Epoch  4, Batch    503, Loss  0.607931, Average Loss  0.611321, Time  0.221436
2021-09-21 18:59:46.468119 : Epoch  4, Batch    504, Loss  0.619404, Average Loss  0.611436, Time  0.221457
2021-09-21 18:59:47.928141 : Epoch  4, Batch    505, Loss  0.621048, Average Loss  0.611482, Time  0.222043
2021-09-21 18:59:49.383021 : Epoch  4, Batch    506, Loss  0.620814, Average Loss  0.611515, Time  0.220994
2021-09-21 18:59:50.836980 : Epoch  4, Batch    507, Loss  0.608612, Average Loss  0.611549, Time  0.222651
2021-09-21 18:59:52.295402 : Epoch  4, Batch    508, Loss  0.624379, Average Loss  0.611630, Time  0.221631
2021-09-21 18:59:53.780120 : Epoch  4, Batch    509, Loss  0.614661, Average Loss  0.611664, Time  0.221677
2021-09-21 18:59:57.696714 : Epoch  4, Batch    510, Loss  0.609259, Average Loss  0.611636, Time  0.251314
2021-09-21 18:59:59.183356 : Epoch  4, Batch    511, Loss  0.610972, Average Loss  0.611619, Time  0.252787
2021-09-21 19:00:00.657750 : Epoch  4, Batch    512, Loss  0.592779, Average Loss  0.611567, Time  0.221338
2021-09-21 19:00:02.110938 : Epoch  4, Batch    513, Loss  0.618044, Average Loss  0.611598, Time  0.221364
2021-09-21 19:00:03.564122 : Epoch  4, Batch    514, Loss  0.615322, Average Loss  0.611617, Time  0.221353
2021-09-21 19:00:05.008629 : Epoch  4, Batch    515, Loss  0.616756, Average Loss  0.611647, Time  0.221852
2021-09-21 19:00:06.465991 : Epoch  4, Batch    516, Loss  0.620905, Average Loss  0.611727, Time  0.221601
2021-09-21 19:00:07.918711 : Epoch  4, Batch    517, Loss  0.612795, Average Loss  0.611736, Time  0.221430
2021-09-21 19:00:09.372113 : Epoch  4, Batch    518, Loss  0.619348, Average Loss  0.611761, Time  0.221133
2021-09-21 19:00:10.824109 : Epoch  4, Batch    519, Loss  0.617911, Average Loss  0.611779, Time  0.221453
2021-09-21 19:00:12.296103 : Epoch  4, Batch    520, Loss  0.610288, Average Loss  0.611767, Time  0.221220
2021-09-21 19:00:13.750756 : Epoch  4, Batch    521, Loss  0.614727, Average Loss  0.611729, Time  0.221620
2021-09-21 19:00:15.206759 : Epoch  4, Batch    522, Loss  0.613807, Average Loss  0.611712, Time  0.221399
2021-09-21 19:00:16.655909 : Epoch  4, Batch    523, Loss  0.613911, Average Loss  0.611707, Time  0.221474
2021-09-21 19:00:18.101930 : Epoch  4, Batch    524, Loss  0.615142, Average Loss  0.611743, Time  0.220963
2021-09-21 19:00:19.550040 : Epoch  4, Batch    525, Loss  0.611970, Average Loss  0.611766, Time  0.221741
2021-09-21 19:00:21.015994 : Epoch  4, Batch    526, Loss  0.603210, Average Loss  0.611757, Time  0.221441
2021-09-21 19:00:22.455743 : Epoch  4, Batch    527, Loss  0.614063, Average Loss  0.611787, Time  0.221267
2021-09-21 19:00:23.902802 : Epoch  4, Batch    528, Loss  0.620919, Average Loss  0.611897, Time  0.221523
2021-09-21 19:00:25.361790 : Epoch  4, Batch    529, Loss  0.617263, Average Loss  0.611895, Time  0.221330
2021-09-21 19:00:26.810939 : Epoch  4, Batch    530, Loss  0.613466, Average Loss  0.611920, Time  0.220888
2021-09-21 19:00:28.261929 : Epoch  4, Batch    531, Loss  0.619715, Average Loss  0.612008, Time  0.221460
2021-09-21 19:00:29.716228 : Epoch  4, Batch    532, Loss  0.613373, Average Loss  0.612045, Time  0.221194
2021-09-21 19:00:31.168964 : Epoch  4, Batch    533, Loss  0.605029, Average Loss  0.611986, Time  0.221254
2021-09-21 19:00:32.625991 : Epoch  4, Batch    534, Loss  0.612335, Average Loss  0.611993, Time  0.221527
2021-09-21 19:00:34.085692 : Epoch  4, Batch    535, Loss  0.598143, Average Loss  0.611910, Time  0.221536
2021-09-21 19:00:35.553103 : Epoch  4, Batch    536, Loss  0.611144, Average Loss  0.611874, Time  0.221297
2021-09-21 19:00:37.002130 : Epoch  4, Batch    537, Loss  0.607274, Average Loss  0.611865, Time  0.221169
2021-09-21 19:00:38.461117 : Epoch  4, Batch    538, Loss  0.607667, Average Loss  0.611832, Time  0.221426
2021-09-21 19:00:39.917748 : Epoch  4, Batch    539, Loss  0.625709, Average Loss  0.611928, Time  0.221785
2021-09-21 19:01:34.720354 : CheckPoint: Validation Loss  0.00025130, Best Loss  0.00025130
2021-09-21 19:01:34.753461 : Best Model Updated
2021-09-21 19:01:36.928991 : Epoch  4, Batch    540, Loss  0.617068, Average Loss  0.611911, Time  0.250522
2021-09-21 19:01:38.446946 : Epoch  4, Batch    541, Loss  0.625444, Average Loss  0.611950, Time  0.228073
2021-09-21 19:01:39.904010 : Epoch  4, Batch    542, Loss  0.605106, Average Loss  0.611913, Time  0.221902
2021-09-21 19:01:41.377827 : Epoch  4, Batch    543, Loss  0.609524, Average Loss  0.611958, Time  0.236155
2021-09-21 19:01:42.846915 : Epoch  4, Batch    544, Loss  0.617939, Average Loss  0.611880, Time  0.220953
2021-09-21 19:01:44.339148 : Epoch  4, Batch    545, Loss  0.609209, Average Loss  0.611897, Time  0.221556
2021-09-21 19:01:45.791914 : Epoch  4, Batch    546, Loss  0.606063, Average Loss  0.611855, Time  0.221110
2021-09-21 19:01:47.246924 : Epoch  4, Batch    547, Loss  0.612795, Average Loss  0.611953, Time  0.221246
2021-09-21 19:01:48.701937 : Epoch  4, Batch    548, Loss  0.608439, Average Loss  0.611925, Time  0.221133
2021-09-21 19:01:50.155898 : Epoch  4, Batch    549, Loss  0.618767, Average Loss  0.611871, Time  0.221558
2021-09-21 19:01:51.619876 : Epoch  4, Batch    550, Loss  0.615477, Average Loss  0.611866, Time  0.221228
2021-09-21 19:01:53.076799 : Epoch  4, Batch    551, Loss  0.610960, Average Loss  0.611899, Time  0.221354
2021-09-21 19:01:54.539126 : Epoch  4, Batch    552, Loss  0.613317, Average Loss  0.611889, Time  0.221262
2021-09-21 19:01:55.991952 : Epoch  4, Batch    553, Loss  0.614201, Average Loss  0.611920, Time  0.221162
2021-09-21 19:01:57.453715 : Epoch  4, Batch    554, Loss  0.626400, Average Loss  0.611928, Time  0.221236
2021-09-21 19:01:58.900891 : Epoch  4, Batch    555, Loss  0.624225, Average Loss  0.611991, Time  0.221216
2021-09-21 19:02:00.350089 : Epoch  4, Batch    556, Loss  0.613872, Average Loss  0.611979, Time  0.221420
2021-09-21 19:02:01.808942 : Epoch  4, Batch    557, Loss  0.609540, Average Loss  0.611978, Time  0.221873
2021-09-21 19:02:03.273091 : Epoch  4, Batch    558, Loss  0.608564, Average Loss  0.611997, Time  0.221254
2021-09-21 19:02:04.738005 : Epoch  4, Batch    559, Loss  0.603113, Average Loss  0.611915, Time  0.222831
2021-09-21 19:02:06.197117 : Epoch  4, Batch    560, Loss  0.608994, Average Loss  0.611859, Time  0.221307
2021-09-21 19:02:07.674123 : Epoch  4, Batch    561, Loss  0.617070, Average Loss  0.611889, Time  0.221246
2021-09-21 19:02:09.143722 : Epoch  4, Batch    562, Loss  0.614660, Average Loss  0.611868, Time  0.221588
2021-09-21 19:02:10.605711 : Epoch  4, Batch    563, Loss  0.595868, Average Loss  0.611778, Time  0.221465
2021-09-21 19:02:12.072814 : Epoch  4, Batch    564, Loss  0.607674, Average Loss  0.611757, Time  0.221285
2021-09-21 19:02:13.538924 : Epoch  4, Batch    565, Loss  0.619800, Average Loss  0.611760, Time  0.221111
2021-09-21 19:02:14.992225 : Epoch  4, Batch    566, Loss  0.613121, Average Loss  0.611751, Time  0.221167
2021-09-21 19:02:16.462976 : Epoch  4, Batch    567, Loss  0.609675, Average Loss  0.611774, Time  0.221945
2021-09-21 19:02:17.917920 : Epoch  4, Batch    568, Loss  0.612086, Average Loss  0.611755, Time  0.221117
2021-09-21 19:02:19.386913 : Epoch  4, Batch    569, Loss  0.609473, Average Loss  0.611746, Time  0.221099
2021-09-21 19:02:20.848939 : Epoch  4, Batch    570, Loss  0.604582, Average Loss  0.611717, Time  0.221214
2021-09-21 19:02:22.311130 : Epoch  4, Batch    571, Loss  0.613890, Average Loss  0.611790, Time  0.221402
2021-09-21 19:02:23.761884 : Epoch  4, Batch    572, Loss  0.600894, Average Loss  0.611691, Time  0.221149
2021-09-21 19:02:25.220755 : Epoch  4, Batch    573, Loss  0.602785, Average Loss  0.611619, Time  0.221356
2021-09-21 19:02:26.685834 : Epoch  4, Batch    574, Loss  0.603869, Average Loss  0.611580, Time  0.221194
2021-09-21 19:02:28.136910 : Epoch  4, Batch    575, Loss  0.611685, Average Loss  0.611606, Time  0.221042
2021-09-21 19:02:29.598948 : Epoch  4, Batch    576, Loss  0.603983, Average Loss  0.611562, Time  0.221253
2021-09-21 19:02:31.066181 : Epoch  4, Batch    577, Loss  0.597506, Average Loss  0.611473, Time  0.222987
2021-09-21 19:02:32.521947 : Epoch  4, Batch    578, Loss  0.610143, Average Loss  0.611443, Time  0.221210
2021-09-21 19:02:33.978098 : Epoch  4, Batch    579, Loss  0.613706, Average Loss  0.611463, Time  0.221457
2021-09-21 19:02:35.433345 : Epoch  4, Batch    580, Loss  0.600275, Average Loss  0.611409, Time  0.221654
2021-09-21 19:02:36.891930 : Epoch  4, Batch    581, Loss  0.614148, Average Loss  0.611391, Time  0.221304
2021-09-21 19:02:38.352691 : Epoch  4, Batch    582, Loss  0.615970, Average Loss  0.611430, Time  0.221063
2021-09-21 19:02:39.802124 : Epoch  4, Batch    583, Loss  0.627373, Average Loss  0.611532, Time  0.221137
2021-09-21 19:02:41.268136 : Epoch  4, Batch    584, Loss  0.608091, Average Loss  0.611539, Time  0.221097
2021-09-21 19:02:42.727819 : Epoch  4, Batch    585, Loss  0.621799, Average Loss  0.611673, Time  0.221324
2021-09-21 19:02:44.204432 : Epoch  4, Batch    586, Loss  0.599858, Average Loss  0.611560, Time  0.221486
2021-09-21 19:02:45.705942 : Epoch  4, Batch    587, Loss  0.603604, Average Loss  0.611527, Time  0.221477
2021-09-21 19:02:47.163947 : Epoch  4, Batch    588, Loss  0.609195, Average Loss  0.611482, Time  0.221275
2021-09-21 19:02:48.623753 : Epoch  4, Batch    589, Loss  0.609178, Average Loss  0.611416, Time  0.221365
2021-09-21 19:02:50.080906 : Epoch  4, Batch    590, Loss  0.614491, Average Loss  0.611415, Time  0.221316
2021-09-21 19:02:51.534917 : Epoch  4, Batch    591, Loss  0.614397, Average Loss  0.611429, Time  0.221286
2021-09-21 19:02:52.996750 : Epoch  4, Batch    592, Loss  0.606273, Average Loss  0.611356, Time  0.221260
2021-09-21 19:02:54.445898 : Epoch  4, Batch    593, Loss  0.623466, Average Loss  0.611397, Time  0.221335
2021-09-21 19:02:55.906903 : Epoch  4, Batch    594, Loss  0.604840, Average Loss  0.611399, Time  0.221591
2021-09-21 19:02:57.364767 : Epoch  4, Batch    595, Loss  0.604501, Average Loss  0.611365, Time  0.221443
2021-09-21 19:02:58.829129 : Epoch  4, Batch    596, Loss  0.612788, Average Loss  0.611367, Time  0.221549
2021-09-21 19:03:00.294121 : Epoch  4, Batch    597, Loss  0.611410, Average Loss  0.611374, Time  0.222533
2021-09-21 19:03:01.758731 : Epoch  4, Batch    598, Loss  0.603169, Average Loss  0.611316, Time  0.221222
2021-09-21 19:03:03.220996 : Epoch  4, Batch    599, Loss  0.619180, Average Loss  0.611332, Time  0.221313
2021-09-21 19:03:04.682301 : Epoch  4, Batch    600, Loss  0.620018, Average Loss  0.611349, Time  0.221686
2021-09-21 19:03:06.145171 : Epoch  4, Batch    601, Loss  0.619949, Average Loss  0.611384, Time  0.221197
2021-09-21 19:03:07.604118 : Epoch  4, Batch    602, Loss  0.622780, Average Loss  0.611510, Time  0.221053
2021-09-21 19:03:09.065931 : Epoch  4, Batch    603, Loss  0.613923, Average Loss  0.611534, Time  0.221634
2021-09-21 19:03:10.521815 : Epoch  4, Batch    604, Loss  0.618966, Average Loss  0.611638, Time  0.221117
2021-09-21 19:03:11.984121 : Epoch  4, Batch    605, Loss  0.609630, Average Loss  0.611662, Time  0.221872
2021-09-21 19:03:13.450919 : Epoch  4, Batch    606, Loss  0.604909, Average Loss  0.611593, Time  0.221202
2021-09-21 19:03:14.911944 : Epoch  4, Batch    607, Loss  0.619646, Average Loss  0.611581, Time  0.221053
2021-09-21 19:03:16.396940 : Epoch  4, Batch    608, Loss  0.602296, Average Loss  0.611528, Time  0.221285
2021-09-21 19:03:17.866754 : Epoch  4, Batch    609, Loss  0.615911, Average Loss  0.611536, Time  0.221298
2021-09-21 19:03:21.674121 : Epoch  4, Batch    610, Loss  0.609716, Average Loss  0.611533, Time  0.244887
2021-09-21 19:03:23.130970 : Epoch  4, Batch    611, Loss  0.596987, Average Loss  0.611471, Time  0.221206
2021-09-21 19:03:24.585686 : Epoch  4, Batch    612, Loss  0.619963, Average Loss  0.611439, Time  0.221052
2021-09-21 19:03:26.039616 : Epoch  4, Batch    613, Loss  0.601550, Average Loss  0.611417, Time  0.222086
2021-09-21 19:03:27.485324 : Epoch  4, Batch    614, Loss  0.604705, Average Loss  0.611421, Time  0.221219
2021-09-21 19:03:28.934135 : Epoch  4, Batch    615, Loss  0.604099, Average Loss  0.611388, Time  0.221489
2021-09-21 19:03:30.378767 : Epoch  4, Batch    616, Loss  0.603606, Average Loss  0.611369, Time  0.221559
2021-09-21 19:03:31.823050 : Epoch  4, Batch    617, Loss  0.614246, Average Loss  0.611427, Time  0.220994
2021-09-21 19:03:33.273123 : Epoch  4, Batch    618, Loss  0.611743, Average Loss  0.611420, Time  0.221416
2021-09-21 19:03:34.725747 : Epoch  4, Batch    619, Loss  0.613303, Average Loss  0.611418, Time  0.221442
2021-09-21 19:03:36.172109 : Epoch  4, Batch    620, Loss  0.625826, Average Loss  0.611512, Time  0.220796
2021-09-21 19:03:37.638743 : Epoch  4, Batch    621, Loss  0.616849, Average Loss  0.611555, Time  0.221161
2021-09-21 19:03:39.093129 : Epoch  4, Batch    622, Loss  0.609139, Average Loss  0.611571, Time  0.221022
2021-09-21 19:03:40.552854 : Epoch  4, Batch    623, Loss  0.618077, Average Loss  0.611626, Time  0.221160
2021-09-21 19:03:42.012750 : Epoch  4, Batch    624, Loss  0.611622, Average Loss  0.611605, Time  0.222488
2021-09-21 19:03:43.468702 : Epoch  4, Batch    625, Loss  0.604067, Average Loss  0.611537, Time  0.221379
2021-09-21 19:03:44.916015 : Epoch  4, Batch    626, Loss  0.599613, Average Loss  0.611438, Time  0.221381
2021-09-21 19:03:46.366973 : Epoch  4, Batch    627, Loss  0.606867, Average Loss  0.611433, Time  0.221706
2021-09-21 19:03:47.830942 : Epoch  4, Batch    628, Loss  0.620435, Average Loss  0.611474, Time  0.221289
2021-09-21 19:03:49.284965 : Epoch  4, Batch    629, Loss  0.602724, Average Loss  0.611420, Time  0.221481
2021-09-21 19:03:50.736070 : Epoch  4, Batch    630, Loss  0.620292, Average Loss  0.611448, Time  0.221582
2021-09-21 19:03:52.186021 : Epoch  4, Batch    631, Loss  0.609445, Average Loss  0.611421, Time  0.221142
2021-09-21 19:03:53.634144 : Epoch  4, Batch    632, Loss  0.609173, Average Loss  0.611438, Time  0.221744
2021-09-21 19:03:55.091113 : Epoch  4, Batch    633, Loss  0.622247, Average Loss  0.611529, Time  0.221321
2021-09-21 19:03:56.551140 : Epoch  4, Batch    634, Loss  0.611224, Average Loss  0.611578, Time  0.221097
2021-09-21 19:03:58.011599 : Epoch  4, Batch    635, Loss  0.604560, Average Loss  0.611569, Time  0.221168
2021-09-21 19:03:59.480670 : Epoch  4, Batch    636, Loss  0.609592, Average Loss  0.611560, Time  0.221638
2021-09-21 19:04:00.936922 : Epoch  4, Batch    637, Loss  0.608874, Average Loss  0.611571, Time  0.221180
2021-09-21 19:04:02.393753 : Epoch  4, Batch    638, Loss  0.608690, Average Loss  0.611528, Time  0.221490
2021-09-21 19:04:06.056165 : Epoch  4, Batch    639, Loss  0.619644, Average Loss  0.611568, Time  0.221990
2021-09-21 19:05:00.801758 : CheckPoint: Validation Loss  0.00024805, Best Loss  0.00024805
2021-09-21 19:05:00.827392 : Best Model Updated
2021-09-21 19:05:02.855774 : Epoch  4, Batch    640, Loss  0.608800, Average Loss  0.611582, Time  0.221840
2021-09-21 19:05:04.317085 : Epoch  4, Batch    641, Loss  0.605697, Average Loss  0.611515, Time  0.221425
2021-09-21 19:05:05.810701 : Epoch  4, Batch    642, Loss  0.614182, Average Loss  0.611559, Time  0.221434
2021-09-21 19:05:07.266804 : Epoch  4, Batch    643, Loss  0.613913, Average Loss  0.611486, Time  0.221571
2021-09-21 19:05:08.730920 : Epoch  4, Batch    644, Loss  0.605611, Average Loss  0.611407, Time  0.221107
2021-09-21 19:05:10.190263 : Epoch  4, Batch    645, Loss  0.604249, Average Loss  0.611316, Time  0.222573
2021-09-21 19:05:11.652883 : Epoch  4, Batch    646, Loss  0.602857, Average Loss  0.611235, Time  0.221071
2021-09-21 19:05:13.104936 : Epoch  4, Batch    647, Loss  0.620862, Average Loss  0.611260, Time  0.221318
2021-09-21 19:05:14.571807 : Epoch  4, Batch    648, Loss  0.607811, Average Loss  0.611181, Time  0.222846
2021-09-21 19:05:16.037125 : Epoch  4, Batch    649, Loss  0.605601, Average Loss  0.611151, Time  0.221400
2021-09-21 19:05:17.499140 : Epoch  4, Batch    650, Loss  0.613864, Average Loss  0.611108, Time  0.221147
2021-09-21 19:05:18.964953 : Epoch  4, Batch    651, Loss  0.623747, Average Loss  0.611206, Time  0.221883
2021-09-21 19:05:20.419118 : Epoch  4, Batch    652, Loss  0.615640, Average Loss  0.611291, Time  0.221144
2021-09-21 19:05:21.872712 : Epoch  4, Batch    653, Loss  0.608784, Average Loss  0.611321, Time  0.221816
2021-09-21 19:05:23.335695 : Epoch  4, Batch    654, Loss  0.609427, Average Loss  0.611329, Time  0.221292
2021-09-21 19:05:24.796228 : Epoch  4, Batch    655, Loss  0.620342, Average Loss  0.611448, Time  0.221734
2021-09-21 19:05:26.258705 : Epoch  4, Batch    656, Loss  0.619772, Average Loss  0.611504, Time  0.221467
2021-09-21 19:05:27.732023 : Epoch  4, Batch    657, Loss  0.628289, Average Loss  0.611579, Time  0.221458
2021-09-21 19:05:29.186765 : Epoch  4, Batch    658, Loss  0.599723, Average Loss  0.611556, Time  0.221272
2021-09-21 19:05:30.641922 : Epoch  4, Batch    659, Loss  0.610577, Average Loss  0.611564, Time  0.221213
2021-09-21 19:05:32.105942 : Epoch  4, Batch    660, Loss  0.607503, Average Loss  0.611519, Time  0.221739
2021-09-21 19:05:33.559001 : Epoch  4, Batch    661, Loss  0.608223, Average Loss  0.611498, Time  0.221177
2021-09-21 19:05:35.014716 : Epoch  4, Batch    662, Loss  0.622597, Average Loss  0.611564, Time  0.222339
2021-09-21 19:05:36.466753 : Epoch  4, Batch    663, Loss  0.615923, Average Loss  0.611534, Time  0.221051
2021-09-21 19:05:37.934176 : Epoch  4, Batch    664, Loss  0.608151, Average Loss  0.611536, Time  0.221452
2021-09-21 19:05:39.381895 : Epoch  4, Batch    665, Loss  0.622141, Average Loss  0.611592, Time  0.221272
2021-09-21 19:05:40.833961 : Epoch  4, Batch    666, Loss  0.598968, Average Loss  0.611547, Time  0.220972
2021-09-21 19:05:42.286000 : Epoch  4, Batch    667, Loss  0.605046, Average Loss  0.611530, Time  0.221658
2021-09-21 19:05:43.742761 : Epoch  4, Batch    668, Loss  0.618604, Average Loss  0.611527, Time  0.221463
2021-09-21 19:05:45.199693 : Epoch  4, Batch    669, Loss  0.603485, Average Loss  0.611492, Time  0.222236
2021-09-21 19:05:46.652628 : Epoch  4, Batch    670, Loss  0.620792, Average Loss  0.611598, Time  0.221370
2021-09-21 19:05:48.120007 : Epoch  4, Batch    671, Loss  0.605921, Average Loss  0.611576, Time  0.221680
2021-09-21 19:05:49.569935 : Epoch  4, Batch    672, Loss  0.613436, Average Loss  0.611598, Time  0.220912
2021-09-21 19:05:51.030760 : Epoch  4, Batch    673, Loss  0.611750, Average Loss  0.611622, Time  0.221473
2021-09-21 19:05:52.490979 : Epoch  4, Batch    674, Loss  0.615734, Average Loss  0.611636, Time  0.221156
2021-09-21 19:05:53.941206 : Epoch  4, Batch    675, Loss  0.612583, Average Loss  0.611649, Time  0.221294
2021-09-21 19:05:55.403911 : Epoch  4, Batch    676, Loss  0.609219, Average Loss  0.611611, Time  0.221481
2021-09-21 19:05:56.861113 : Epoch  4, Batch    677, Loss  0.606724, Average Loss  0.611598, Time  0.221213
2021-09-21 19:05:58.312906 : Epoch  4, Batch    678, Loss  0.613716, Average Loss  0.611682, Time  0.221033
2021-09-21 19:05:59.783114 : Epoch  4, Batch    679, Loss  0.615239, Average Loss  0.611687, Time  0.221765
2021-09-21 19:06:01.233076 : Epoch  4, Batch    680, Loss  0.616113, Average Loss  0.611688, Time  0.221263
2021-09-21 19:06:02.685274 : Epoch  4, Batch    681, Loss  0.620126, Average Loss  0.611810, Time  0.221325
2021-09-21 19:06:04.139991 : Epoch  4, Batch    682, Loss  0.607099, Average Loss  0.611837, Time  0.221220
2021-09-21 19:06:05.597141 : Epoch  4, Batch    683, Loss  0.612548, Average Loss  0.611907, Time  0.221539
2021-09-21 19:06:07.054139 : Epoch  4, Batch    684, Loss  0.615980, Average Loss  0.611959, Time  0.221035
2021-09-21 19:06:08.523170 : Epoch  4, Batch    685, Loss  0.605899, Average Loss  0.611909, Time  0.222073
2021-09-21 19:06:09.987985 : Epoch  4, Batch    686, Loss  0.613674, Average Loss  0.611953, Time  0.221012
2021-09-21 19:06:11.452148 : Epoch  4, Batch    687, Loss  0.602891, Average Loss  0.611871, Time  0.221725
2021-09-21 19:06:12.907984 : Epoch  4, Batch    688, Loss  0.608063, Average Loss  0.611883, Time  0.221999
2021-09-21 19:06:14.359148 : Epoch  4, Batch    689, Loss  0.619990, Average Loss  0.611927, Time  0.221570
2021-09-21 19:06:15.826903 : Epoch  4, Batch    690, Loss  0.621997, Average Loss  0.611999, Time  0.221285
2021-09-21 19:06:17.285807 : Epoch  4, Batch    691, Loss  0.616566, Average Loss  0.612057, Time  0.221391
2021-09-21 19:06:18.757751 : Epoch  4, Batch    692, Loss  0.604696, Average Loss  0.612038, Time  0.222067
2021-09-21 19:06:20.218913 : Epoch  4, Batch    693, Loss  0.604014, Average Loss  0.611995, Time  0.221299
2021-09-21 19:06:21.669147 : Epoch  4, Batch    694, Loss  0.609182, Average Loss  0.611941, Time  0.221551
2021-09-21 19:06:23.121891 : Epoch  4, Batch    695, Loss  0.599878, Average Loss  0.611898, Time  0.221644
2021-09-21 19:06:24.582912 : Epoch  4, Batch    696, Loss  0.614797, Average Loss  0.611930, Time  0.221255
2021-09-21 19:06:26.033025 : Epoch  4, Batch    697, Loss  0.623035, Average Loss  0.611934, Time  0.221536
2021-09-21 19:06:27.484770 : Epoch  4, Batch    698, Loss  0.613048, Average Loss  0.611919, Time  0.221228
2021-09-21 19:06:28.941025 : Epoch  4, Batch    699, Loss  0.613275, Average Loss  0.611944, Time  0.221306
2021-09-21 19:06:30.393008 : Epoch  4, Batch    700, Loss  0.610802, Average Loss  0.611958, Time  0.221360
2021-09-21 19:06:31.839037 : Epoch  4, Batch    701, Loss  0.614984, Average Loss  0.611939, Time  0.221237
2021-09-21 19:06:33.297003 : Epoch  4, Batch    702, Loss  0.601927, Average Loss  0.611893, Time  0.221249
2021-09-21 19:06:34.752718 : Epoch  4, Batch    703, Loss  0.614032, Average Loss  0.611923, Time  0.221399
2021-09-21 19:06:36.207987 : Epoch  4, Batch    704, Loss  0.615362, Average Loss  0.611903, Time  0.221078
2021-09-21 19:06:37.671925 : Epoch  4, Batch    705, Loss  0.612004, Average Loss  0.611858, Time  0.221876
2021-09-21 19:06:39.139783 : Epoch  4, Batch    706, Loss  0.609666, Average Loss  0.611802, Time  0.221004
2021-09-21 19:06:40.601741 : Epoch  4, Batch    707, Loss  0.616539, Average Loss  0.611842, Time  0.221244
2021-09-21 19:06:42.059943 : Epoch  4, Batch    708, Loss  0.604253, Average Loss  0.611741, Time  0.221478
2021-09-21 19:06:43.512178 : Epoch  4, Batch    709, Loss  0.601601, Average Loss  0.611676, Time  0.221035
2021-09-21 19:06:47.312989 : Epoch  4, Batch    710, Loss  0.592127, Average Loss  0.611590, Time  0.253330
2021-09-21 19:06:48.770183 : Epoch  4, Batch    711, Loss  0.597511, Average Loss  0.611523, Time  0.226561
2021-09-21 19:06:50.231957 : Epoch  4, Batch    712, Loss  0.609481, Average Loss  0.611606, Time  0.220972
2021-09-21 19:06:51.687859 : Epoch  4, Batch    713, Loss  0.594751, Average Loss  0.611490, Time  0.221367
2021-09-21 19:06:53.139563 : Epoch  4, Batch    714, Loss  0.603269, Average Loss  0.611430, Time  0.221359
2021-09-21 19:06:54.604929 : Epoch  4, Batch    715, Loss  0.606781, Average Loss  0.611380, Time  0.221339
2021-09-21 19:06:56.055076 : Epoch  4, Batch    716, Loss  0.611944, Average Loss  0.611335, Time  0.221509
2021-09-21 19:06:57.505142 : Epoch  4, Batch    717, Loss  0.602973, Average Loss  0.611286, Time  0.221779
2021-09-21 19:06:58.971507 : Epoch  4, Batch    718, Loss  0.615309, Average Loss  0.611266, Time  0.221822
2021-09-21 19:07:00.443935 : Epoch  4, Batch    719, Loss  0.610285, Average Loss  0.611228, Time  0.221361
2021-09-21 19:07:01.907697 : Epoch  4, Batch    720, Loss  0.609189, Average Loss  0.611222, Time  0.221084
2021-09-21 19:07:03.361351 : Epoch  4, Batch    721, Loss  0.615610, Average Loss  0.611227, Time  0.222026
2021-09-21 19:07:04.827923 : Epoch  4, Batch    722, Loss  0.618477, Average Loss  0.611250, Time  0.220982
2021-09-21 19:07:06.275176 : Epoch  4, Batch    723, Loss  0.616518, Average Loss  0.611263, Time  0.221236
2021-09-21 19:07:07.731021 : Epoch  4, Batch    724, Loss  0.599614, Average Loss  0.611185, Time  0.221798
2021-09-21 19:07:09.180911 : Epoch  4, Batch    725, Loss  0.606564, Average Loss  0.611158, Time  0.221133
2021-09-21 19:07:10.632112 : Epoch  4, Batch    726, Loss  0.606386, Average Loss  0.611174, Time  0.220986
2021-09-21 19:07:12.088946 : Epoch  4, Batch    727, Loss  0.598352, Average Loss  0.611096, Time  0.221347
2021-09-21 19:07:13.546928 : Epoch  4, Batch    728, Loss  0.609635, Average Loss  0.611039, Time  0.221220
2021-09-21 19:07:14.998185 : Epoch  4, Batch    729, Loss  0.607628, Average Loss  0.610991, Time  0.221072
2021-09-21 19:07:16.446988 : Epoch  4, Batch    730, Loss  0.611642, Average Loss  0.610982, Time  0.221241
2021-09-21 19:07:17.899118 : Epoch  4, Batch    731, Loss  0.614421, Average Loss  0.610955, Time  0.221252
2021-09-21 19:07:19.354195 : Epoch  4, Batch    732, Loss  0.604506, Average Loss  0.610911, Time  0.220880
2021-09-21 19:07:20.807652 : Epoch  4, Batch    733, Loss  0.613663, Average Loss  0.610954, Time  0.221430
2021-09-21 19:07:22.262182 : Epoch  4, Batch    734, Loss  0.615631, Average Loss  0.610971, Time  0.221117
2021-09-21 19:07:23.715131 : Epoch  4, Batch    735, Loss  0.611068, Average Loss  0.611035, Time  0.221035
2021-09-21 19:07:25.166928 : Epoch  4, Batch    736, Loss  0.619414, Average Loss  0.611077, Time  0.221204
2021-09-21 19:07:26.615135 : Epoch  4, Batch    737, Loss  0.607896, Average Loss  0.611080, Time  0.221450
2021-09-21 19:07:28.062748 : Epoch  4, Batch    738, Loss  0.615044, Average Loss  0.611117, Time  0.221297
2021-09-21 19:07:29.512943 : Epoch  4, Batch    739, Loss  0.606483, Average Loss  0.611021, Time  0.221391
2021-09-21 19:08:24.543681 : CheckPoint: Validation Loss  0.00026011, Best Loss  0.00024805
2021-09-21 19:08:26.020975 : Epoch  4, Batch    740, Loss  0.610871, Average Loss  0.610990, Time  0.221780
2021-09-21 19:08:27.480947 : Epoch  4, Batch    741, Loss  0.606246, Average Loss  0.610894, Time  0.221423
2021-09-21 19:08:28.940937 : Epoch  4, Batch    742, Loss  0.607672, Average Loss  0.610906, Time  0.221117
2021-09-21 19:08:30.400476 : Epoch  4, Batch    743, Loss  0.617690, Average Loss  0.610947, Time  0.221326
2021-09-21 19:08:31.857939 : Epoch  4, Batch    744, Loss  0.605865, Average Loss  0.610887, Time  0.221426
2021-09-21 19:08:33.324695 : Epoch  4, Batch    745, Loss  0.612973, Average Loss  0.610906, Time  0.221229
2021-09-21 19:08:34.780766 : Epoch  4, Batch    746, Loss  0.621752, Average Loss  0.610984, Time  0.221225
2021-09-21 19:08:36.236904 : Epoch  4, Batch    747, Loss  0.610671, Average Loss  0.610974, Time  0.221180
2021-09-21 19:08:37.701667 : Epoch  4, Batch    748, Loss  0.601477, Average Loss  0.610939, Time  0.221299
2021-09-21 19:08:39.167408 : Epoch  4, Batch    749, Loss  0.607266, Average Loss  0.610881, Time  0.221423
2021-09-21 19:08:40.622152 : Epoch  4, Batch    750, Loss  0.620834, Average Loss  0.610908, Time  0.221366
2021-09-21 19:08:42.077909 : Epoch  4, Batch    751, Loss  0.620856, Average Loss  0.610957, Time  0.221011
2021-09-21 19:08:43.540991 : Epoch  4, Batch    752, Loss  0.610617, Average Loss  0.610944, Time  0.221348
2021-09-21 19:08:44.987277 : Epoch  4, Batch    753, Loss  0.607015, Average Loss  0.610908, Time  0.221119
2021-09-21 19:08:46.446981 : Epoch  4, Batch    754, Loss  0.608155, Average Loss  0.610817, Time  0.222050
2021-09-21 19:08:47.911754 : Epoch  4, Batch    755, Loss  0.604744, Average Loss  0.610719, Time  0.221899
2021-09-21 19:08:49.392775 : Epoch  4, Batch    756, Loss  0.610221, Average Loss  0.610701, Time  0.222283
2021-09-21 19:08:50.847887 : Epoch  4, Batch    757, Loss  0.609376, Average Loss  0.610700, Time  0.222113
2021-09-21 19:08:52.304735 : Epoch  4, Batch    758, Loss  0.598194, Average Loss  0.610648, Time  0.222570
2021-09-21 19:08:53.776825 : Epoch  4, Batch    759, Loss  0.605388, Average Loss  0.610660, Time  0.221343
2021-09-21 19:08:55.249014 : Epoch  4, Batch    760, Loss  0.599085, Average Loss  0.610610, Time  0.222023
2021-09-21 19:08:56.713037 : Epoch  4, Batch    761, Loss  0.609650, Average Loss  0.610573, Time  0.221983
2021-09-21 19:08:58.173715 : Epoch  4, Batch    762, Loss  0.605810, Average Loss  0.610529, Time  0.221477
2021-09-21 19:08:59.640167 : Epoch  4, Batch    763, Loss  0.626264, Average Loss  0.610681, Time  0.221202
2021-09-21 19:09:01.103894 : Epoch  4, Batch    764, Loss  0.618777, Average Loss  0.610736, Time  0.221460
2021-09-21 19:09:02.564006 : Epoch  4, Batch    765, Loss  0.613455, Average Loss  0.610705, Time  0.221413
2021-09-21 19:09:04.026692 : Epoch  4, Batch    766, Loss  0.616206, Average Loss  0.610720, Time  0.221210
2021-09-21 19:09:05.492138 : Epoch  4, Batch    767, Loss  0.603388, Average Loss  0.610689, Time  0.221521
2021-09-21 19:09:06.957891 : Epoch  4, Batch    768, Loss  0.605643, Average Loss  0.610657, Time  0.221347
2021-09-21 19:09:08.419105 : Epoch  4, Batch    769, Loss  0.607023, Average Loss  0.610644, Time  0.221345
2021-09-21 19:09:09.889933 : Epoch  4, Batch    770, Loss  0.615191, Average Loss  0.610697, Time  0.221442
2021-09-21 19:09:11.347936 : Epoch  4, Batch    771, Loss  0.596944, Average Loss  0.610613, Time  0.221683
2021-09-21 19:09:12.808806 : Epoch  4, Batch    772, Loss  0.601115, Average Loss  0.610614, Time  0.221904
2021-09-21 19:09:14.366128 : Epoch  4, Batch    773, Loss  0.610471, Average Loss  0.610652, Time  0.221662
2021-09-21 19:09:15.824876 : Epoch  4, Batch    774, Loss  0.597860, Average Loss  0.610622, Time  0.221527
2021-09-21 19:09:17.282836 : Epoch  4, Batch    775, Loss  0.612108, Average Loss  0.610624, Time  0.221253
2021-09-21 19:09:18.765701 : Epoch  4, Batch    776, Loss  0.609685, Average Loss  0.610653, Time  0.221652
2021-09-21 19:09:20.262959 : Epoch  4, Batch    777, Loss  0.602236, Average Loss  0.610676, Time  0.228553
2021-09-21 19:09:21.743715 : Epoch  4, Batch    778, Loss  0.607384, Average Loss  0.610663, Time  0.222234
2021-09-21 19:09:23.223086 : Epoch  4, Batch    779, Loss  0.604933, Average Loss  0.610619, Time  0.222176
2021-09-21 19:09:24.681752 : Epoch  4, Batch    780, Loss  0.608166, Average Loss  0.610658, Time  0.222124
2021-09-21 19:09:26.142902 : Epoch  4, Batch    781, Loss  0.614809, Average Loss  0.610661, Time  0.222687
2021-09-21 19:09:27.615960 : Epoch  4, Batch    782, Loss  0.608077, Average Loss  0.610622, Time  0.221277
2021-09-21 19:09:29.086738 : Epoch  4, Batch    783, Loss  0.598566, Average Loss  0.610478, Time  0.221870
2021-09-21 19:09:30.546171 : Epoch  4, Batch    784, Loss  0.619455, Average Loss  0.610535, Time  0.221553
2021-09-21 19:09:32.010819 : Epoch  4, Batch    785, Loss  0.602527, Average Loss  0.610438, Time  0.221556
2021-09-21 19:09:33.476940 : Epoch  4, Batch    786, Loss  0.608723, Average Loss  0.610483, Time  0.221551
2021-09-21 19:09:34.936896 : Epoch  4, Batch    787, Loss  0.608145, Average Loss  0.610505, Time  0.222229
2021-09-21 19:09:34.962755 : Saving Model after 4-th Epoch.
2021-09-21 19:09:35.634604 : Epoch Finished.
2021-09-21 19:09:38.153615 : Batch Shuffled
2021-09-21 19:09:39.682509 : Epoch  5, Batch      1, Loss  0.621967, Average Loss  0.610569, Time  0.255589
2021-09-21 19:09:41.141132 : Epoch  5, Batch      2, Loss  0.606237, Average Loss  0.610555, Time  0.221061
2021-09-21 19:09:42.597769 : Epoch  5, Batch      3, Loss  0.613748, Average Loss  0.610551, Time  0.221706
2021-09-21 19:09:44.051911 : Epoch  5, Batch      4, Loss  0.615178, Average Loss  0.610555, Time  0.221754
2021-09-21 19:09:45.509949 : Epoch  5, Batch      5, Loss  0.604090, Average Loss  0.610544, Time  0.222179
2021-09-21 19:09:46.964009 : Epoch  5, Batch      6, Loss  0.602708, Average Loss  0.610440, Time  0.221418
2021-09-21 19:09:48.419906 : Epoch  5, Batch      7, Loss  0.602870, Average Loss  0.610430, Time  0.220903
2021-09-21 19:09:49.877865 : Epoch  5, Batch      8, Loss  0.602698, Average Loss  0.610421, Time  0.221235
2021-09-21 19:09:51.408675 : Epoch  5, Batch      9, Loss  0.608683, Average Loss  0.610401, Time  0.222027
2021-09-21 19:09:52.879737 : Epoch  5, Batch     10, Loss  0.607179, Average Loss  0.610380, Time  0.221578
2021-09-21 19:09:54.343730 : Epoch  5, Batch     11, Loss  0.609155, Average Loss  0.610409, Time  0.221600
2021-09-21 19:09:55.814698 : Epoch  5, Batch     12, Loss  0.604207, Average Loss  0.610335, Time  0.224476
2021-09-21 19:09:57.280919 : Epoch  5, Batch     13, Loss  0.618251, Average Loss  0.610326, Time  0.221240
2021-09-21 19:09:58.747846 : Epoch  5, Batch     14, Loss  0.620173, Average Loss  0.610327, Time  0.221264
2021-09-21 19:10:00.213534 : Epoch  5, Batch     15, Loss  0.613185, Average Loss  0.610279, Time  0.221070
2021-09-21 19:10:01.686935 : Epoch  5, Batch     16, Loss  0.604720, Average Loss  0.610233, Time  0.221838
2021-09-21 19:10:03.158008 : Epoch  5, Batch     17, Loss  0.605330, Average Loss  0.610165, Time  0.223028
2021-09-21 19:10:04.638812 : Epoch  5, Batch     18, Loss  0.603236, Average Loss  0.610133, Time  0.221300
2021-09-21 19:10:06.121735 : Epoch  5, Batch     19, Loss  0.606094, Average Loss  0.610139, Time  0.222215
2021-09-21 19:10:07.592962 : Epoch  5, Batch     20, Loss  0.613455, Average Loss  0.610108, Time  0.221451
2021-09-21 19:10:09.064015 : Epoch  5, Batch     21, Loss  0.602114, Average Loss  0.610107, Time  0.221672
2021-09-21 19:10:10.540971 : Epoch  5, Batch     22, Loss  0.607406, Average Loss  0.610064, Time  0.221256
2021-09-21 19:10:11.999034 : Epoch  5, Batch     23, Loss  0.600256, Average Loss  0.610017, Time  0.221184
2021-09-21 19:10:13.461152 : Epoch  5, Batch     24, Loss  0.610494, Average Loss  0.610085, Time  0.221187
2021-09-21 19:10:14.926169 : Epoch  5, Batch     25, Loss  0.621049, Average Loss  0.610090, Time  0.221572
2021-09-21 19:10:16.394698 : Epoch  5, Batch     26, Loss  0.607417, Average Loss  0.610119, Time  0.221517
2021-09-21 19:10:17.850476 : Epoch  5, Batch     27, Loss  0.620837, Average Loss  0.610200, Time  0.221920
2021-09-21 19:10:19.317932 : Epoch  5, Batch     28, Loss  0.610159, Average Loss  0.610230, Time  0.221503
2021-09-21 19:10:20.778711 : Epoch  5, Batch     29, Loss  0.606292, Average Loss  0.610244, Time  0.222209
2021-09-21 19:10:22.240715 : Epoch  5, Batch     30, Loss  0.609935, Average Loss  0.610222, Time  0.221423
2021-09-21 19:10:23.699764 : Epoch  5, Batch     31, Loss  0.610732, Average Loss  0.610217, Time  0.221357
2021-09-21 19:10:25.166751 : Epoch  5, Batch     32, Loss  0.606596, Average Loss  0.610184, Time  0.221351
2021-09-21 19:10:26.626954 : Epoch  5, Batch     33, Loss  0.613728, Average Loss  0.610123, Time  0.221574
2021-09-21 19:10:28.083175 : Epoch  5, Batch     34, Loss  0.612738, Average Loss  0.610102, Time  0.221471
2021-09-21 19:10:29.544175 : Epoch  5, Batch     35, Loss  0.603674, Average Loss  0.610075, Time  0.221353
2021-09-21 19:10:31.016091 : Epoch  5, Batch     36, Loss  0.607894, Average Loss  0.610024, Time  0.221568
2021-09-21 19:10:32.487687 : Epoch  5, Batch     37, Loss  0.622604, Average Loss  0.610079, Time  0.221361
2021-09-21 19:10:33.962213 : Epoch  5, Batch     38, Loss  0.610324, Average Loss  0.610110, Time  0.221461
2021-09-21 19:10:35.425911 : Epoch  5, Batch     39, Loss  0.613602, Average Loss  0.610180, Time  0.221515
2021-09-21 19:10:36.886300 : Epoch  5, Batch     40, Loss  0.607784, Average Loss  0.610185, Time  0.221605
2021-09-21 19:10:38.349071 : Epoch  5, Batch     41, Loss  0.599669, Average Loss  0.610081, Time  0.221541
2021-09-21 19:10:39.816926 : Epoch  5, Batch     42, Loss  0.607176, Average Loss  0.610103, Time  0.221111
2021-09-21 19:10:41.290967 : Epoch  5, Batch     43, Loss  0.607966, Average Loss  0.610042, Time  0.221218
2021-09-21 19:10:42.948004 : Epoch  5, Batch     44, Loss  0.613916, Average Loss  0.610064, Time  0.221383
2021-09-21 19:10:44.428925 : Epoch  5, Batch     45, Loss  0.605104, Average Loss  0.610044, Time  0.221221
2021-09-21 19:10:45.903145 : Epoch  5, Batch     46, Loss  0.617908, Average Loss  0.610022, Time  0.222156
2021-09-21 19:10:47.369732 : Epoch  5, Batch     47, Loss  0.616712, Average Loss  0.610050, Time  0.221132
2021-09-21 19:10:48.830027 : Epoch  5, Batch     48, Loss  0.616387, Average Loss  0.610109, Time  0.221246
2021-09-21 19:10:50.280050 : Epoch  5, Batch     49, Loss  0.625059, Average Loss  0.610186, Time  0.221215
2021-09-21 19:10:51.740142 : Epoch  5, Batch     50, Loss  0.613078, Average Loss  0.610207, Time  0.221492
2021-09-21 19:10:53.210826 : Epoch  5, Batch     51, Loss  0.611778, Average Loss  0.610222, Time  0.221936
2021-09-21 19:10:54.671979 : Epoch  5, Batch     52, Loss  0.605937, Average Loss  0.610154, Time  0.221404
2021-09-21 19:11:49.643060 : CheckPoint: Validation Loss  0.00025813, Best Loss  0.00024805
2021-09-21 19:11:51.124290 : Epoch  5, Batch     53, Loss  0.612390, Average Loss  0.610172, Time  0.222268
2021-09-21 19:11:52.582940 : Epoch  5, Batch     54, Loss  0.608813, Average Loss  0.610187, Time  0.221081
2021-09-21 19:11:54.037939 : Epoch  5, Batch     55, Loss  0.614052, Average Loss  0.610187, Time  0.221440
2021-09-21 19:11:55.490209 : Epoch  5, Batch     56, Loss  0.613219, Average Loss  0.610183, Time  0.221227
2021-09-21 19:11:56.940969 : Epoch  5, Batch     57, Loss  0.615993, Average Loss  0.610235, Time  0.220938
2021-09-21 19:11:58.397797 : Epoch  5, Batch     58, Loss  0.616352, Average Loss  0.610296, Time  0.221437
2021-09-21 19:11:59.856013 : Epoch  5, Batch     59, Loss  0.631939, Average Loss  0.610441, Time  0.221076
2021-09-21 19:12:01.313118 : Epoch  5, Batch     60, Loss  0.609913, Average Loss  0.610386, Time  0.221332
2021-09-21 19:12:02.792898 : Epoch  5, Batch     61, Loss  0.617717, Average Loss  0.610436, Time  0.221354
2021-09-21 19:12:04.247023 : Epoch  5, Batch     62, Loss  0.616367, Average Loss  0.610490, Time  0.221458
2021-09-21 19:12:05.700694 : Epoch  5, Batch     63, Loss  0.612099, Average Loss  0.610481, Time  0.221034
2021-09-21 19:12:07.160176 : Epoch  5, Batch     64, Loss  0.606821, Average Loss  0.610396, Time  0.221596
2021-09-21 19:12:08.611758 : Epoch  5, Batch     65, Loss  0.593888, Average Loss  0.610288, Time  0.220968
2021-09-21 19:12:10.071363 : Epoch  5, Batch     66, Loss  0.615717, Average Loss  0.610322, Time  0.221180
2021-09-21 19:12:11.537957 : Epoch  5, Batch     67, Loss  0.615323, Average Loss  0.610352, Time  0.221311
2021-09-21 19:12:13.037947 : Epoch  5, Batch     68, Loss  0.601957, Average Loss  0.610260, Time  0.221101
2021-09-21 19:12:14.495858 : Epoch  5, Batch     69, Loss  0.609292, Average Loss  0.610207, Time  0.223880
2021-09-21 19:12:15.963943 : Epoch  5, Batch     70, Loss  0.617311, Average Loss  0.610152, Time  0.221102
2021-09-21 19:12:17.425770 : Epoch  5, Batch     71, Loss  0.605658, Average Loss  0.610182, Time  0.221393
2021-09-21 19:12:18.886000 : Epoch  5, Batch     72, Loss  0.614178, Average Loss  0.610200, Time  0.221309
2021-09-21 19:12:20.349720 : Epoch  5, Batch     73, Loss  0.602200, Average Loss  0.610174, Time  0.220973
2021-09-21 19:12:21.807128 : Epoch  5, Batch     74, Loss  0.611856, Average Loss  0.610192, Time  0.220991
2021-09-21 19:12:23.261747 : Epoch  5, Batch     75, Loss  0.611399, Average Loss  0.610136, Time  0.221270
2021-09-21 19:12:24.724087 : Epoch  5, Batch     76, Loss  0.615130, Average Loss  0.610132, Time  0.221400
2021-09-21 19:12:26.185911 : Epoch  5, Batch     77, Loss  0.607482, Average Loss  0.610129, Time  0.220951
2021-09-21 19:12:27.648934 : Epoch  5, Batch     78, Loss  0.607801, Average Loss  0.610057, Time  0.221154
2021-09-21 19:12:29.107142 : Epoch  5, Batch     79, Loss  0.608220, Average Loss  0.610103, Time  0.220982
2021-09-21 19:12:30.566744 : Epoch  5, Batch     80, Loss  0.603614, Average Loss  0.610096, Time  0.221250
2021-09-21 19:12:32.027957 : Epoch  5, Batch     81, Loss  0.604712, Average Loss  0.610026, Time  0.221542
2021-09-21 19:12:33.481800 : Epoch  5, Batch     82, Loss  0.610738, Average Loss  0.610063, Time  0.221460
2021-09-21 19:12:34.946195 : Epoch  5, Batch     83, Loss  0.607087, Average Loss  0.609994, Time  0.220991
2021-09-21 19:12:36.402245 : Epoch  5, Batch     84, Loss  0.601549, Average Loss  0.609972, Time  0.222106
2021-09-21 19:12:37.868147 : Epoch  5, Batch     85, Loss  0.617087, Average Loss  0.609991, Time  0.221019
2021-09-21 19:12:39.324511 : Epoch  5, Batch     86, Loss  0.618605, Average Loss  0.610025, Time  0.221805
2021-09-21 19:12:40.811228 : Epoch  5, Batch     87, Loss  0.631101, Average Loss  0.610102, Time  0.221706
2021-09-21 19:12:42.268349 : Epoch  5, Batch     88, Loss  0.606684, Average Loss  0.610072, Time  0.221415
2021-09-21 19:12:43.729030 : Epoch  5, Batch     89, Loss  0.604196, Average Loss  0.610047, Time  0.221803
2021-09-21 19:12:45.188759 : Epoch  5, Batch     90, Loss  0.601149, Average Loss  0.610019, Time  0.222120
2021-09-21 19:12:46.641931 : Epoch  5, Batch     91, Loss  0.610066, Average Loss  0.610001, Time  0.220999
2021-09-21 19:12:48.093916 : Epoch  5, Batch     92, Loss  0.602151, Average Loss  0.609936, Time  0.221514
2021-09-21 19:12:49.549033 : Epoch  5, Batch     93, Loss  0.609773, Average Loss  0.609904, Time  0.221232
2021-09-21 19:12:51.004931 : Epoch  5, Batch     94, Loss  0.609665, Average Loss  0.609852, Time  0.221190
2021-09-21 19:12:52.466890 : Epoch  5, Batch     95, Loss  0.609186, Average Loss  0.609862, Time  0.221406
2021-09-21 19:12:53.917132 : Epoch  5, Batch     96, Loss  0.616129, Average Loss  0.609880, Time  0.220940
2021-09-21 19:12:55.373778 : Epoch  5, Batch     97, Loss  0.611469, Average Loss  0.609857, Time  0.220952
2021-09-21 19:12:56.823947 : Epoch  5, Batch     98, Loss  0.610851, Average Loss  0.609882, Time  0.221302
2021-09-21 19:12:58.269370 : Epoch  5, Batch     99, Loss  0.606347, Average Loss  0.609845, Time  0.223250
2021-09-21 19:12:59.753931 : Epoch  5, Batch    100, Loss  0.597068, Average Loss  0.609816, Time  0.221752
2021-09-21 19:13:01.209143 : Epoch  5, Batch    101, Loss  0.615647, Average Loss  0.609854, Time  0.221181
2021-09-21 19:13:02.659123 : Epoch  5, Batch    102, Loss  0.618761, Average Loss  0.609848, Time  0.221089
2021-09-21 19:13:04.117938 : Epoch  5, Batch    103, Loss  0.613819, Average Loss  0.609807, Time  0.221007
2021-09-21 19:13:05.581932 : Epoch  5, Batch    104, Loss  0.600798, Average Loss  0.609728, Time  0.221523
2021-09-21 19:13:07.041950 : Epoch  5, Batch    105, Loss  0.595344, Average Loss  0.609682, Time  0.221188
2021-09-21 19:13:08.498709 : Epoch  5, Batch    106, Loss  0.612931, Average Loss  0.609726, Time  0.221247
2021-09-21 19:13:09.950153 : Epoch  5, Batch    107, Loss  0.601919, Average Loss  0.609690, Time  0.221313
2021-09-21 19:13:11.414230 : Epoch  5, Batch    108, Loss  0.613567, Average Loss  0.609758, Time  0.221558
2021-09-21 19:13:12.869930 : Epoch  5, Batch    109, Loss  0.609819, Average Loss  0.609733, Time  0.221107
2021-09-21 19:13:14.323694 : Epoch  5, Batch    110, Loss  0.613071, Average Loss  0.609684, Time  0.221462
2021-09-21 19:13:15.771701 : Epoch  5, Batch    111, Loss  0.605971, Average Loss  0.609648, Time  0.221272
2021-09-21 19:13:17.220109 : Epoch  5, Batch    112, Loss  0.610009, Average Loss  0.609632, Time  0.221200
2021-09-21 19:13:18.670100 : Epoch  5, Batch    113, Loss  0.600027, Average Loss  0.609578, Time  0.221303
2021-09-21 19:13:20.143926 : Epoch  5, Batch    114, Loss  0.614082, Average Loss  0.609574, Time  0.221703
2021-09-21 19:13:21.601700 : Epoch  5, Batch    115, Loss  0.627885, Average Loss  0.609703, Time  0.221284
2021-09-21 19:13:23.049929 : Epoch  5, Batch    116, Loss  0.604760, Average Loss  0.609657, Time  0.221267
2021-09-21 19:13:24.503030 : Epoch  5, Batch    117, Loss  0.619285, Average Loss  0.609677, Time  0.221501
2021-09-21 19:13:25.960991 : Epoch  5, Batch    118, Loss  0.607417, Average Loss  0.609654, Time  0.223224
2021-09-21 19:13:27.415939 : Epoch  5, Batch    119, Loss  0.618895, Average Loss  0.609700, Time  0.221052
2021-09-21 19:13:28.874027 : Epoch  5, Batch    120, Loss  0.615433, Average Loss  0.609694, Time  0.221301
2021-09-21 19:13:30.327373 : Epoch  5, Batch    121, Loss  0.617605, Average Loss  0.609761, Time  0.222008
2021-09-21 19:13:31.772087 : Epoch  5, Batch    122, Loss  0.611551, Average Loss  0.609811, Time  0.221755
2021-09-21 19:13:35.538175 : Epoch  5, Batch    123, Loss  0.607451, Average Loss  0.609887, Time  0.239801
2021-09-21 19:13:36.986926 : Epoch  5, Batch    124, Loss  0.616008, Average Loss  0.609980, Time  0.221434
2021-09-21 19:13:38.433962 : Epoch  5, Batch    125, Loss  0.613004, Average Loss  0.609997, Time  0.221201
2021-09-21 19:13:39.877132 : Epoch  5, Batch    126, Loss  0.611255, Average Loss  0.610080, Time  0.221255
2021-09-21 19:13:41.344364 : Epoch  5, Batch    127, Loss  0.608910, Average Loss  0.610108, Time  0.220964
2021-09-21 19:13:42.799147 : Epoch  5, Batch    128, Loss  0.607704, Average Loss  0.610113, Time  0.221567
2021-09-21 19:13:44.244926 : Epoch  5, Batch    129, Loss  0.622863, Average Loss  0.610167, Time  0.220908
2021-09-21 19:13:45.691686 : Epoch  5, Batch    130, Loss  0.608704, Average Loss  0.610196, Time  0.222259
2021-09-21 19:13:47.129165 : Epoch  5, Batch    131, Loss  0.597863, Average Loss  0.610109, Time  0.220923
2021-09-21 19:13:48.565120 : Epoch  5, Batch    132, Loss  0.617760, Average Loss  0.610146, Time  0.221648
2021-09-21 19:13:50.000117 : Epoch  5, Batch    133, Loss  0.614905, Average Loss  0.610175, Time  0.221842
2021-09-21 19:13:51.451770 : Epoch  5, Batch    134, Loss  0.615943, Average Loss  0.610176, Time  0.221738
2021-09-21 19:13:52.900144 : Epoch  5, Batch    135, Loss  0.616548, Average Loss  0.610167, Time  0.221072
2021-09-21 19:13:54.359150 : Epoch  5, Batch    136, Loss  0.617721, Average Loss  0.610173, Time  0.221238
2021-09-21 19:13:55.806103 : Epoch  5, Batch    137, Loss  0.609065, Average Loss  0.610220, Time  0.221390
2021-09-21 19:13:57.250886 : Epoch  5, Batch    138, Loss  0.606743, Average Loss  0.610221, Time  0.221829
2021-09-21 19:13:58.710130 : Epoch  5, Batch    139, Loss  0.608157, Average Loss  0.610230, Time  0.221758
2021-09-21 19:14:00.183801 : Epoch  5, Batch    140, Loss  0.613892, Average Loss  0.610308, Time  0.221718
2021-09-21 19:14:01.635167 : Epoch  5, Batch    141, Loss  0.609847, Average Loss  0.610309, Time  0.220932
2021-09-21 19:14:03.093139 : Epoch  5, Batch    142, Loss  0.615854, Average Loss  0.610350, Time  0.221631
2021-09-21 19:14:04.540914 : Epoch  5, Batch    143, Loss  0.606485, Average Loss  0.610324, Time  0.221288
2021-09-21 19:14:05.989840 : Epoch  5, Batch    144, Loss  0.592073, Average Loss  0.610212, Time  0.221576
2021-09-21 19:14:07.437918 : Epoch  5, Batch    145, Loss  0.611556, Average Loss  0.610247, Time  0.221129
2021-09-21 19:14:08.889989 : Epoch  5, Batch    146, Loss  0.610123, Average Loss  0.610230, Time  0.221433
2021-09-21 19:14:10.340917 : Epoch  5, Batch    147, Loss  0.607880, Average Loss  0.610191, Time  0.221272
2021-09-21 19:14:11.812920 : Epoch  5, Batch    148, Loss  0.596992, Average Loss  0.610121, Time  0.221387
2021-09-21 19:14:13.277953 : Epoch  5, Batch    149, Loss  0.623272, Average Loss  0.610140, Time  0.221164
2021-09-21 19:14:14.731790 : Epoch  5, Batch    150, Loss  0.605696, Average Loss  0.610129, Time  0.221607
2021-09-21 19:14:16.182706 : Epoch  5, Batch    151, Loss  0.612352, Average Loss  0.610115, Time  0.221462
2021-09-21 19:14:17.636922 : Epoch  5, Batch    152, Loss  0.617454, Average Loss  0.610170, Time  0.221240
2021-09-21 19:15:12.780681 : CheckPoint: Validation Loss  0.00025560, Best Loss  0.00024805
2021-09-21 19:15:14.268749 : Epoch  5, Batch    153, Loss  0.598407, Average Loss  0.610108, Time  0.240910
2021-09-21 19:15:15.750133 : Epoch  5, Batch    154, Loss  0.621580, Average Loss  0.610185, Time  0.220999
2021-09-21 19:15:17.209134 : Epoch  5, Batch    155, Loss  0.613208, Average Loss  0.610212, Time  0.221141
2021-09-21 19:15:18.687946 : Epoch  5, Batch    156, Loss  0.609603, Average Loss  0.610172, Time  0.222776
2021-09-21 19:15:20.151956 : Epoch  5, Batch    157, Loss  0.612092, Average Loss  0.610203, Time  0.222497
2021-09-21 19:15:21.624188 : Epoch  5, Batch    158, Loss  0.611855, Average Loss  0.610197, Time  0.221599
2021-09-21 19:15:23.100037 : Epoch  5, Batch    159, Loss  0.602936, Average Loss  0.610103, Time  0.222620
2021-09-21 19:15:24.568790 : Epoch  5, Batch    160, Loss  0.614740, Average Loss  0.610124, Time  0.221699
2021-09-21 19:15:26.036061 : Epoch  5, Batch    161, Loss  0.615825, Average Loss  0.610195, Time  0.221561
2021-09-21 19:15:27.508718 : Epoch  5, Batch    162, Loss  0.598184, Average Loss  0.610150, Time  0.221774
2021-09-21 19:15:28.970721 : Epoch  5, Batch    163, Loss  0.616094, Average Loss  0.610126, Time  0.222154
2021-09-21 19:15:30.433712 : Epoch  5, Batch    164, Loss  0.589147, Average Loss  0.609968, Time  0.222949
2021-09-21 19:15:31.888812 : Epoch  5, Batch    165, Loss  0.603529, Average Loss  0.609932, Time  0.221197
2021-09-21 19:15:33.346937 : Epoch  5, Batch    166, Loss  0.614739, Average Loss  0.609971, Time  0.221616
2021-09-21 19:15:34.814946 : Epoch  5, Batch    167, Loss  0.615965, Average Loss  0.610010, Time  0.221454
2021-09-21 19:15:36.275932 : Epoch  5, Batch    168, Loss  0.606920, Average Loss  0.610021, Time  0.221961
2021-09-21 19:15:37.734922 : Epoch  5, Batch    169, Loss  0.602939, Average Loss  0.609984, Time  0.221272
2021-09-21 19:15:39.205184 : Epoch  5, Batch    170, Loss  0.613524, Average Loss  0.610005, Time  0.221321
2021-09-21 19:15:40.671978 : Epoch  5, Batch    171, Loss  0.619466, Average Loss  0.610112, Time  0.221888
2021-09-21 19:15:42.151004 : Epoch  5, Batch    172, Loss  0.608974, Average Loss  0.610130, Time  0.221979
2021-09-21 19:15:43.607913 : Epoch  5, Batch    173, Loss  0.621622, Average Loss  0.610242, Time  0.221348
2021-09-21 19:15:45.064008 : Epoch  5, Batch    174, Loss  0.620818, Average Loss  0.610298, Time  0.221235
2021-09-21 19:15:46.514931 : Epoch  5, Batch    175, Loss  0.630769, Average Loss  0.610423, Time  0.221455
2021-09-21 19:15:47.973892 : Epoch  5, Batch    176, Loss  0.611942, Average Loss  0.610351, Time  0.221007
2021-09-21 19:15:49.423977 : Epoch  5, Batch    177, Loss  0.605854, Average Loss  0.610287, Time  0.221282
2021-09-21 19:15:50.880117 : Epoch  5, Batch    178, Loss  0.621900, Average Loss  0.610329, Time  0.221619
2021-09-21 19:15:52.354924 : Epoch  5, Batch    179, Loss  0.606021, Average Loss  0.610278, Time  0.221520
2021-09-21 19:15:53.817743 : Epoch  5, Batch    180, Loss  0.598499, Average Loss  0.610253, Time  0.221693
2021-09-21 19:15:55.289770 : Epoch  5, Batch    181, Loss  0.609264, Average Loss  0.610272, Time  0.221180
2021-09-21 19:15:56.757935 : Epoch  5, Batch    182, Loss  0.615443, Average Loss  0.610314, Time  0.221249
2021-09-21 19:15:58.222908 : Epoch  5, Batch    183, Loss  0.614215, Average Loss  0.610309, Time  0.222336
2021-09-21 19:15:59.686139 : Epoch  5, Batch    184, Loss  0.616154, Average Loss  0.610405, Time  0.221566
2021-09-21 19:16:01.139738 : Epoch  5, Batch    185, Loss  0.615681, Average Loss  0.610478, Time  0.220914
2021-09-21 19:16:02.601912 : Epoch  5, Batch    186, Loss  0.613431, Average Loss  0.610492, Time  0.221474
2021-09-21 19:16:04.065806 : Epoch  5, Batch    187, Loss  0.607275, Average Loss  0.610540, Time  0.221741
2021-09-21 19:16:05.513699 : Epoch  5, Batch    188, Loss  0.599930, Average Loss  0.610479, Time  0.221135
2021-09-21 19:16:06.975003 : Epoch  5, Batch    189, Loss  0.611192, Average Loss  0.610486, Time  0.221212
2021-09-21 19:16:08.453172 : Epoch  5, Batch    190, Loss  0.610843, Average Loss  0.610529, Time  0.221970
2021-09-21 19:16:09.908832 : Epoch  5, Batch    191, Loss  0.622433, Average Loss  0.610604, Time  0.221307
2021-09-21 19:16:11.370922 : Epoch  5, Batch    192, Loss  0.610190, Average Loss  0.610631, Time  0.221387
2021-09-21 19:16:12.828354 : Epoch  5, Batch    193, Loss  0.596122, Average Loss  0.610571, Time  0.221340
2021-09-21 19:16:14.285992 : Epoch  5, Batch    194, Loss  0.614204, Average Loss  0.610568, Time  0.221350
2021-09-21 19:16:15.908744 : Epoch  5, Batch    195, Loss  0.620815, Average Loss  0.610631, Time  0.221646
2021-09-21 19:16:17.370885 : Epoch  5, Batch    196, Loss  0.600964, Average Loss  0.610643, Time  0.221134
2021-09-21 19:16:18.840933 : Epoch  5, Batch    197, Loss  0.625903, Average Loss  0.610675, Time  0.221234
2021-09-21 19:16:20.310829 : Epoch  5, Batch    198, Loss  0.606645, Average Loss  0.610696, Time  0.221461
2021-09-21 19:16:21.776926 : Epoch  5, Batch    199, Loss  0.610549, Average Loss  0.610705, Time  0.221311
2021-09-21 19:16:23.234037 : Epoch  5, Batch    200, Loss  0.619836, Average Loss  0.610764, Time  0.221221
2021-09-21 19:16:24.696154 : Epoch  5, Batch    201, Loss  0.607209, Average Loss  0.610690, Time  0.221038
2021-09-21 19:16:26.178242 : Epoch  5, Batch    202, Loss  0.617775, Average Loss  0.610748, Time  0.221534
2021-09-21 19:16:27.629833 : Epoch  5, Batch    203, Loss  0.599974, Average Loss  0.610679, Time  0.222077
2021-09-21 19:16:29.096157 : Epoch  5, Batch    204, Loss  0.611854, Average Loss  0.610662, Time  0.221955
2021-09-21 19:16:30.557917 : Epoch  5, Batch    205, Loss  0.606608, Average Loss  0.610675, Time  0.220912
2021-09-21 19:16:32.001413 : Epoch  5, Batch    206, Loss  0.609065, Average Loss  0.610706, Time  0.221542
2021-09-21 19:16:33.474096 : Epoch  5, Batch    207, Loss  0.603661, Average Loss  0.610710, Time  0.221738
2021-09-21 19:16:34.932855 : Epoch  5, Batch    208, Loss  0.619545, Average Loss  0.610795, Time  0.221153
2021-09-21 19:16:36.383979 : Epoch  5, Batch    209, Loss  0.602381, Average Loss  0.610763, Time  0.220963
2021-09-21 19:16:37.847245 : Epoch  5, Batch    210, Loss  0.603900, Average Loss  0.610747, Time  0.221421
2021-09-21 19:16:39.324760 : Epoch  5, Batch    211, Loss  0.613266, Average Loss  0.610767, Time  0.221098
2021-09-21 19:16:40.783905 : Epoch  5, Batch    212, Loss  0.600471, Average Loss  0.610749, Time  0.221322
2021-09-21 19:16:42.243021 : Epoch  5, Batch    213, Loss  0.607843, Average Loss  0.610697, Time  0.221580
2021-09-21 19:16:43.720144 : Epoch  5, Batch    214, Loss  0.604387, Average Loss  0.610618, Time  0.221479
2021-09-21 19:16:45.177935 : Epoch  5, Batch    215, Loss  0.612932, Average Loss  0.610616, Time  0.221224
2021-09-21 19:16:46.631987 : Epoch  5, Batch    216, Loss  0.602211, Average Loss  0.610604, Time  0.221418
2021-09-21 19:16:48.098814 : Epoch  5, Batch    217, Loss  0.616774, Average Loss  0.610661, Time  0.221409
2021-09-21 19:16:49.558818 : Epoch  5, Batch    218, Loss  0.609690, Average Loss  0.610693, Time  0.221472
2021-09-21 19:16:51.036976 : Epoch  5, Batch    219, Loss  0.624762, Average Loss  0.610787, Time  0.222312
2021-09-21 19:16:52.500930 : Epoch  5, Batch    220, Loss  0.606333, Average Loss  0.610751, Time  0.221687
2021-09-21 19:16:53.965578 : Epoch  5, Batch    221, Loss  0.601956, Average Loss  0.610750, Time  0.221334
2021-09-21 19:16:55.433160 : Epoch  5, Batch    222, Loss  0.597073, Average Loss  0.610699, Time  0.221988
2021-09-21 19:16:59.204829 : Epoch  5, Batch    223, Loss  0.613456, Average Loss  0.610765, Time  0.253508
2021-09-21 19:17:00.666936 : Epoch  5, Batch    224, Loss  0.600486, Average Loss  0.610715, Time  0.225850
2021-09-21 19:17:02.137697 : Epoch  5, Batch    225, Loss  0.613924, Average Loss  0.610679, Time  0.221421
2021-09-21 19:17:03.586945 : Epoch  5, Batch    226, Loss  0.609390, Average Loss  0.610689, Time  0.221622
2021-09-21 19:17:05.035356 : Epoch  5, Batch    227, Loss  0.596265, Average Loss  0.610566, Time  0.221993
2021-09-21 19:17:06.487120 : Epoch  5, Batch    228, Loss  0.612665, Average Loss  0.610578, Time  0.221381
2021-09-21 19:17:07.952933 : Epoch  5, Batch    229, Loss  0.596406, Average Loss  0.610529, Time  0.221593
2021-09-21 19:17:09.403084 : Epoch  5, Batch    230, Loss  0.606219, Average Loss  0.610510, Time  0.221109
2021-09-21 19:17:10.852105 : Epoch  5, Batch    231, Loss  0.614903, Average Loss  0.610531, Time  0.221097
2021-09-21 19:17:12.306933 : Epoch  5, Batch    232, Loss  0.598304, Average Loss  0.610490, Time  0.221441
2021-09-21 19:17:13.774143 : Epoch  5, Batch    233, Loss  0.601970, Average Loss  0.610431, Time  0.221475
2021-09-21 19:17:15.229933 : Epoch  5, Batch    234, Loss  0.600096, Average Loss  0.610368, Time  0.221027
2021-09-21 19:17:16.682147 : Epoch  5, Batch    235, Loss  0.614709, Average Loss  0.610423, Time  0.221139
2021-09-21 19:17:18.135923 : Epoch  5, Batch    236, Loss  0.614529, Average Loss  0.610456, Time  0.221494
2021-09-21 19:17:19.589186 : Epoch  5, Batch    237, Loss  0.625615, Average Loss  0.610471, Time  0.222356
2021-09-21 19:17:21.045115 : Epoch  5, Batch    238, Loss  0.603766, Average Loss  0.610438, Time  0.221220
2021-09-21 19:17:22.499986 : Epoch  5, Batch    239, Loss  0.617745, Average Loss  0.610459, Time  0.220962
2021-09-21 19:17:23.955970 : Epoch  5, Batch    240, Loss  0.623490, Average Loss  0.610538, Time  0.221472
2021-09-21 19:17:25.416897 : Epoch  5, Batch    241, Loss  0.620843, Average Loss  0.610644, Time  0.221252
2021-09-21 19:17:26.864154 : Epoch  5, Batch    242, Loss  0.601533, Average Loss  0.610615, Time  0.221239
2021-09-21 19:17:28.325284 : Epoch  5, Batch    243, Loss  0.611771, Average Loss  0.610634, Time  0.221628
2021-09-21 19:17:29.780570 : Epoch  5, Batch    244, Loss  0.608946, Average Loss  0.610609, Time  0.221999
2021-09-21 19:17:31.246009 : Epoch  5, Batch    245, Loss  0.615701, Average Loss  0.610662, Time  0.221729
2021-09-21 19:17:32.701936 : Epoch  5, Batch    246, Loss  0.618940, Average Loss  0.610668, Time  0.221213
2021-09-21 19:17:34.157944 : Epoch  5, Batch    247, Loss  0.610363, Average Loss  0.610636, Time  0.221220
2021-09-21 19:17:35.624315 : Epoch  5, Batch    248, Loss  0.608941, Average Loss  0.610599, Time  0.221399
2021-09-21 19:17:37.088945 : Epoch  5, Batch    249, Loss  0.612071, Average Loss  0.610534, Time  0.221161
2021-09-21 19:17:38.557742 : Epoch  5, Batch    250, Loss  0.609621, Average Loss  0.610516, Time  0.221459
2021-09-21 19:17:40.006507 : Epoch  5, Batch    251, Loss  0.615085, Average Loss  0.610533, Time  0.221493
2021-09-21 19:17:41.468123 : Epoch  5, Batch    252, Loss  0.615717, Average Loss  0.610582, Time  0.221046
2021-09-21 19:18:36.274678 : CheckPoint: Validation Loss  0.00025111, Best Loss  0.00024805
2021-09-21 19:18:37.785863 : Epoch  5, Batch    253, Loss  0.621938, Average Loss  0.610630, Time  0.252360
2021-09-21 19:18:39.285711 : Epoch  5, Batch    254, Loss  0.598276, Average Loss  0.610577, Time  0.225575
2021-09-21 19:18:40.763693 : Epoch  5, Batch    255, Loss  0.607072, Average Loss  0.610542, Time  0.221318
2021-09-21 19:18:42.226111 : Epoch  5, Batch    256, Loss  0.611219, Average Loss  0.610532, Time  0.221465
2021-09-21 19:18:43.704146 : Epoch  5, Batch    257, Loss  0.607219, Average Loss  0.610488, Time  0.221285
2021-09-21 19:18:45.169156 : Epoch  5, Batch    258, Loss  0.618578, Average Loss  0.610499, Time  0.221237
2021-09-21 19:18:46.634934 : Epoch  5, Batch    259, Loss  0.609350, Average Loss  0.610386, Time  0.221021
2021-09-21 19:18:48.100305 : Epoch  5, Batch    260, Loss  0.602101, Average Loss  0.610347, Time  0.221261
2021-09-21 19:18:49.552918 : Epoch  5, Batch    261, Loss  0.628283, Average Loss  0.610400, Time  0.221271
2021-09-21 19:18:51.021944 : Epoch  5, Batch    262, Loss  0.611422, Average Loss  0.610375, Time  0.222137
2021-09-21 19:18:52.473945 : Epoch  5, Batch    263, Loss  0.617178, Average Loss  0.610401, Time  0.221523
2021-09-21 19:18:53.961132 : Epoch  5, Batch    264, Loss  0.614468, Average Loss  0.610439, Time  0.221317
2021-09-21 19:18:55.421194 : Epoch  5, Batch    265, Loss  0.603425, Average Loss  0.610487, Time  0.221058
2021-09-21 19:18:56.880984 : Epoch  5, Batch    266, Loss  0.610893, Average Loss  0.610463, Time  0.221161
2021-09-21 19:18:58.338479 : Epoch  5, Batch    267, Loss  0.614946, Average Loss  0.610461, Time  0.221128
2021-09-21 19:18:59.793157 : Epoch  5, Batch    268, Loss  0.609523, Average Loss  0.610499, Time  0.221353
2021-09-21 19:19:01.249789 : Epoch  5, Batch    269, Loss  0.617817, Average Loss  0.610541, Time  0.221038
2021-09-21 19:19:02.711765 : Epoch  5, Batch    270, Loss  0.612955, Average Loss  0.610519, Time  0.221250
2021-09-21 19:19:04.180676 : Epoch  5, Batch    271, Loss  0.617550, Average Loss  0.610579, Time  0.221334
2021-09-21 19:19:05.638755 : Epoch  5, Batch    272, Loss  0.604740, Average Loss  0.610532, Time  0.221111
2021-09-21 19:19:07.098045 : Epoch  5, Batch    273, Loss  0.605592, Average Loss  0.610549, Time  0.221429
2021-09-21 19:19:08.558760 : Epoch  5, Batch    274, Loss  0.605612, Average Loss  0.610517, Time  0.221483
2021-09-21 19:19:10.021938 : Epoch  5, Batch    275, Loss  0.612609, Average Loss  0.610523, Time  0.221414
2021-09-21 19:19:11.481908 : Epoch  5, Batch    276, Loss  0.599236, Average Loss  0.610444, Time  0.221307
2021-09-21 19:19:12.939154 : Epoch  5, Batch    277, Loss  0.608613, Average Loss  0.610450, Time  0.220978
2021-09-21 19:19:14.413716 : Epoch  5, Batch    278, Loss  0.618335, Average Loss  0.610502, Time  0.221196
2021-09-21 19:19:15.874904 : Epoch  5, Batch    279, Loss  0.601461, Average Loss  0.610468, Time  0.220886
2021-09-21 19:19:17.332919 : Epoch  5, Batch    280, Loss  0.602296, Average Loss  0.610462, Time  0.221267
2021-09-21 19:19:18.789228 : Epoch  5, Batch    281, Loss  0.606235, Average Loss  0.610470, Time  0.221629
2021-09-21 19:19:20.243168 : Epoch  5, Batch    282, Loss  0.610344, Average Loss  0.610468, Time  0.221517
2021-09-21 19:19:21.698464 : Epoch  5, Batch    283, Loss  0.616521, Average Loss  0.610515, Time  0.220950
2021-09-21 19:19:23.150783 : Epoch  5, Batch    284, Loss  0.607274, Average Loss  0.610543, Time  0.221588
2021-09-21 19:19:24.606688 : Epoch  5, Batch    285, Loss  0.606654, Average Loss  0.610491, Time  0.221375
2021-09-21 19:19:26.068683 : Epoch  5, Batch    286, Loss  0.589934, Average Loss  0.610348, Time  0.221604
2021-09-21 19:19:27.547742 : Epoch  5, Batch    287, Loss  0.622962, Average Loss  0.610307, Time  0.221337
2021-09-21 19:19:29.001096 : Epoch  5, Batch    288, Loss  0.611848, Average Loss  0.610333, Time  0.221264
2021-09-21 19:19:30.461026 : Epoch  5, Batch    289, Loss  0.612390, Average Loss  0.610374, Time  0.221826
2021-09-21 19:19:31.911001 : Epoch  5, Batch    290, Loss  0.614316, Average Loss  0.610440, Time  0.221114
2021-09-21 19:19:33.360984 : Epoch  5, Batch    291, Loss  0.609153, Average Loss  0.610435, Time  0.221495
2021-09-21 19:19:34.807709 : Epoch  5, Batch    292, Loss  0.610490, Average Loss  0.610477, Time  0.221304
2021-09-21 19:19:36.261926 : Epoch  5, Batch    293, Loss  0.603664, Average Loss  0.610446, Time  0.221069
2021-09-21 19:19:37.721937 : Epoch  5, Batch    294, Loss  0.613459, Average Loss  0.610465, Time  0.221455
2021-09-21 19:19:39.177684 : Epoch  5, Batch    295, Loss  0.606771, Average Loss  0.610453, Time  0.221225
2021-09-21 19:19:40.631433 : Epoch  5, Batch    296, Loss  0.606965, Average Loss  0.610407, Time  0.221352
2021-09-21 19:19:42.080403 : Epoch  5, Batch    297, Loss  0.603491, Average Loss  0.610368, Time  0.221142
2021-09-21 19:19:43.525188 : Epoch  5, Batch    298, Loss  0.602020, Average Loss  0.610323, Time  0.221257
2021-09-21 19:19:45.005960 : Epoch  5, Batch    299, Loss  0.602387, Average Loss  0.610304, Time  0.221508
2021-09-21 19:19:46.459924 : Epoch  5, Batch    300, Loss  0.613956, Average Loss  0.610388, Time  0.221078
2021-09-21 19:19:47.925681 : Epoch  5, Batch    301, Loss  0.611288, Average Loss  0.610366, Time  0.221228
2021-09-21 19:19:49.388922 : Epoch  5, Batch    302, Loss  0.611091, Average Loss  0.610328, Time  0.221216
2021-09-21 19:19:50.847691 : Epoch  5, Batch    303, Loss  0.611008, Average Loss  0.610314, Time  0.221235
2021-09-21 19:19:52.297136 : Epoch  5, Batch    304, Loss  0.603747, Average Loss  0.610329, Time  0.221337
2021-09-21 19:19:53.750798 : Epoch  5, Batch    305, Loss  0.607760, Average Loss  0.610391, Time  0.221044
2021-09-21 19:19:55.209184 : Epoch  5, Batch    306, Loss  0.605858, Average Loss  0.610355, Time  0.221265
2021-09-21 19:19:56.662700 : Epoch  5, Batch    307, Loss  0.599994, Average Loss  0.610346, Time  0.221157
2021-09-21 19:19:58.115940 : Epoch  5, Batch    308, Loss  0.616907, Average Loss  0.610362, Time  0.221211
2021-09-21 19:19:59.581695 : Epoch  5, Batch    309, Loss  0.608861, Average Loss  0.610358, Time  0.221435
2021-09-21 19:20:01.045972 : Epoch  5, Batch    310, Loss  0.603423, Average Loss  0.610309, Time  0.221337
2021-09-21 19:20:02.514937 : Epoch  5, Batch    311, Loss  0.607119, Average Loss  0.610315, Time  0.221932
2021-09-21 19:20:03.988939 : Epoch  5, Batch    312, Loss  0.600587, Average Loss  0.610268, Time  0.221463
2021-09-21 19:20:05.458285 : Epoch  5, Batch    313, Loss  0.597475, Average Loss  0.610255, Time  0.221625
2021-09-21 19:20:06.923743 : Epoch  5, Batch    314, Loss  0.613107, Average Loss  0.610250, Time  0.221463
2021-09-21 19:20:08.385952 : Epoch  5, Batch    315, Loss  0.612826, Average Loss  0.610175, Time  0.221595
2021-09-21 19:20:09.849677 : Epoch  5, Batch    316, Loss  0.606724, Average Loss  0.610185, Time  0.221298
2021-09-21 19:20:11.310142 : Epoch  5, Batch    317, Loss  0.612295, Average Loss  0.610150, Time  0.220798
2021-09-21 19:20:12.760702 : Epoch  5, Batch    318, Loss  0.598851, Average Loss  0.610107, Time  0.221256
2021-09-21 19:20:14.234473 : Epoch  5, Batch    319, Loss  0.611010, Average Loss  0.610068, Time  0.220956
2021-09-21 19:20:15.706118 : Epoch  5, Batch    320, Loss  0.604340, Average Loss  0.610012, Time  0.222095
2021-09-21 19:20:17.168513 : Epoch  5, Batch    321, Loss  0.606631, Average Loss  0.609957, Time  0.221508
2021-09-21 19:20:18.637745 : Epoch  5, Batch    322, Loss  0.600218, Average Loss  0.609901, Time  0.221647
2021-09-21 19:20:22.490962 : Epoch  5, Batch    323, Loss  0.605343, Average Loss  0.609890, Time  0.234645
2021-09-21 19:20:23.957156 : Epoch  5, Batch    324, Loss  0.611536, Average Loss  0.609868, Time  0.224660
2021-09-21 19:20:25.410937 : Epoch  5, Batch    325, Loss  0.607449, Average Loss  0.609840, Time  0.221232
2021-09-21 19:20:26.876748 : Epoch  5, Batch    326, Loss  0.613101, Average Loss  0.609849, Time  0.221336
2021-09-21 19:20:28.330941 : Epoch  5, Batch    327, Loss  0.606438, Average Loss  0.609837, Time  0.221493
2021-09-21 19:20:29.792708 : Epoch  5, Batch    328, Loss  0.611844, Average Loss  0.609858, Time  0.221264
2021-09-21 19:20:31.249923 : Epoch  5, Batch    329, Loss  0.610607, Average Loss  0.609796, Time  0.221148
2021-09-21 19:20:32.704888 : Epoch  5, Batch    330, Loss  0.612983, Average Loss  0.609818, Time  0.221763
2021-09-21 19:20:34.163956 : Epoch  5, Batch    331, Loss  0.605384, Average Loss  0.609855, Time  0.221251
2021-09-21 19:20:35.613899 : Epoch  5, Batch    332, Loss  0.600045, Average Loss  0.609767, Time  0.221246
2021-09-21 19:20:37.067711 : Epoch  5, Batch    333, Loss  0.608152, Average Loss  0.609733, Time  0.221615
2021-09-21 19:20:38.533747 : Epoch  5, Batch    334, Loss  0.601337, Average Loss  0.609660, Time  0.222325
2021-09-21 19:20:39.991949 : Epoch  5, Batch    335, Loss  0.611758, Average Loss  0.609636, Time  0.220972
2021-09-21 19:20:41.445939 : Epoch  5, Batch    336, Loss  0.608787, Average Loss  0.609591, Time  0.221601
2021-09-21 19:20:42.900949 : Epoch  5, Batch    337, Loss  0.609251, Average Loss  0.609592, Time  0.221294
2021-09-21 19:20:44.366096 : Epoch  5, Batch    338, Loss  0.616422, Average Loss  0.609641, Time  0.221883
2021-09-21 19:20:45.823992 : Epoch  5, Batch    339, Loss  0.607638, Average Loss  0.609638, Time  0.221275
2021-09-21 19:20:47.284482 : Epoch  5, Batch    340, Loss  0.603179, Average Loss  0.609584, Time  0.221359
2021-09-21 19:20:48.738809 : Epoch  5, Batch    341, Loss  0.610076, Average Loss  0.609586, Time  0.221114
2021-09-21 19:20:50.197801 : Epoch  5, Batch    342, Loss  0.612265, Average Loss  0.609568, Time  0.221396
2021-09-21 19:20:51.654192 : Epoch  5, Batch    343, Loss  0.612440, Average Loss  0.609597, Time  0.220957
2021-09-21 19:20:53.119154 : Epoch  5, Batch    344, Loss  0.597025, Average Loss  0.609622, Time  0.226720
2021-09-21 19:20:54.574936 : Epoch  5, Batch    345, Loss  0.607112, Average Loss  0.609600, Time  0.221120
2021-09-21 19:20:56.035826 : Epoch  5, Batch    346, Loss  0.612435, Average Loss  0.609611, Time  0.221290
2021-09-21 19:20:57.503426 : Epoch  5, Batch    347, Loss  0.612698, Average Loss  0.609636, Time  0.224186
2021-09-21 19:20:58.972812 : Epoch  5, Batch    348, Loss  0.623721, Average Loss  0.609769, Time  0.221288
2021-09-21 19:21:00.445002 : Epoch  5, Batch    349, Loss  0.624069, Average Loss  0.609773, Time  0.221804
2021-09-21 19:21:01.918392 : Epoch  5, Batch    350, Loss  0.602062, Average Loss  0.609755, Time  0.221438
2021-09-21 19:21:03.388201 : Epoch  5, Batch    351, Loss  0.615308, Average Loss  0.609770, Time  0.221393
2021-09-21 19:21:04.842376 : Epoch  5, Batch    352, Loss  0.608576, Average Loss  0.609725, Time  0.221664
2021-09-21 19:22:00.001422 : CheckPoint: Validation Loss  0.00025606, Best Loss  0.00024805
2021-09-21 19:22:01.488009 : Epoch  5, Batch    353, Loss  0.605507, Average Loss  0.609761, Time  0.222334
2021-09-21 19:22:02.956034 : Epoch  5, Batch    354, Loss  0.613059, Average Loss  0.609718, Time  0.221045
2021-09-21 19:22:04.418907 : Epoch  5, Batch    355, Loss  0.609639, Average Loss  0.609700, Time  0.221212
2021-09-21 19:22:05.887004 : Epoch  5, Batch    356, Loss  0.615185, Average Loss  0.609728, Time  0.221487
2021-09-21 19:22:07.352931 : Epoch  5, Batch    357, Loss  0.612249, Average Loss  0.609729, Time  0.222441
2021-09-21 19:22:08.820966 : Epoch  5, Batch    358, Loss  0.609890, Average Loss  0.609719, Time  0.221574
2021-09-21 19:22:10.287874 : Epoch  5, Batch    359, Loss  0.594304, Average Loss  0.609676, Time  0.221311
2021-09-21 19:22:11.757763 : Epoch  5, Batch    360, Loss  0.612274, Average Loss  0.609664, Time  0.221117
2021-09-21 19:22:13.223231 : Epoch  5, Batch    361, Loss  0.621547, Average Loss  0.609692, Time  0.221899
2021-09-21 19:22:14.682753 : Epoch  5, Batch    362, Loss  0.610750, Average Loss  0.609755, Time  0.221473
2021-09-21 19:22:16.147904 : Epoch  5, Batch    363, Loss  0.608222, Average Loss  0.609716, Time  0.221218
2021-09-21 19:22:17.611827 : Epoch  5, Batch    364, Loss  0.607325, Average Loss  0.609807, Time  0.221687
2021-09-21 19:22:19.077984 : Epoch  5, Batch    365, Loss  0.610674, Average Loss  0.609843, Time  0.221221
2021-09-21 19:22:20.535990 : Epoch  5, Batch    366, Loss  0.604940, Average Loss  0.609794, Time  0.221375
2021-09-21 19:22:21.987954 : Epoch  5, Batch    367, Loss  0.600686, Average Loss  0.609717, Time  0.221214
2021-09-21 19:22:23.456953 : Epoch  5, Batch    368, Loss  0.610306, Average Loss  0.609734, Time  0.221295
2021-09-21 19:22:24.915703 : Epoch  5, Batch    369, Loss  0.604903, Average Loss  0.609744, Time  0.221287
2021-09-21 19:22:26.377912 : Epoch  5, Batch    370, Loss  0.622373, Average Loss  0.609788, Time  0.221507
2021-09-21 19:22:27.836907 : Epoch  5, Batch    371, Loss  0.615241, Average Loss  0.609767, Time  0.221163
2021-09-21 19:22:29.299967 : Epoch  5, Batch    372, Loss  0.610150, Average Loss  0.609773, Time  0.221627
2021-09-21 19:22:30.765018 : Epoch  5, Batch    373, Loss  0.602169, Average Loss  0.609676, Time  0.221263
2021-09-21 19:22:32.230278 : Epoch  5, Batch    374, Loss  0.609740, Average Loss  0.609620, Time  0.221319
2021-09-21 19:22:33.702729 : Epoch  5, Batch    375, Loss  0.609659, Average Loss  0.609515, Time  0.221392
2021-09-21 19:22:35.165902 : Epoch  5, Batch    376, Loss  0.621082, Average Loss  0.609560, Time  0.221460
2021-09-21 19:22:36.630713 : Epoch  5, Batch    377, Loss  0.610662, Average Loss  0.609584, Time  0.221082
2021-09-21 19:22:38.108962 : Epoch  5, Batch    378, Loss  0.607298, Average Loss  0.609511, Time  0.221449
2021-09-21 19:22:39.582920 : Epoch  5, Batch    379, Loss  0.618950, Average Loss  0.609576, Time  0.223207
2021-09-21 19:22:41.042950 : Epoch  5, Batch    380, Loss  0.622665, Average Loss  0.609697, Time  0.221234
2021-09-21 19:22:42.524921 : Epoch  5, Batch    381, Loss  0.614493, Average Loss  0.609723, Time  0.222081
2021-09-21 19:22:43.987926 : Epoch  5, Batch    382, Loss  0.612684, Average Loss  0.609709, Time  0.221008
2021-09-21 19:22:45.451859 : Epoch  5, Batch    383, Loss  0.604820, Average Loss  0.609662, Time  0.220814
2021-09-21 19:22:46.913973 : Epoch  5, Batch    384, Loss  0.613896, Average Loss  0.609651, Time  0.221220
2021-09-21 19:22:48.370934 : Epoch  5, Batch    385, Loss  0.606161, Average Loss  0.609603, Time  0.221378
2021-09-21 19:22:49.838688 : Epoch  5, Batch    386, Loss  0.608215, Average Loss  0.609577, Time  0.223000
2021-09-21 19:22:51.301973 : Epoch  5, Batch    387, Loss  0.604156, Average Loss  0.609562, Time  0.220893
2021-09-21 19:22:52.766913 : Epoch  5, Batch    388, Loss  0.600314, Average Loss  0.609564, Time  0.221377
2021-09-21 19:22:54.230142 : Epoch  5, Batch    389, Loss  0.607681, Average Loss  0.609546, Time  0.221147
2021-09-21 19:22:55.687125 : Epoch  5, Batch    390, Loss  0.610683, Average Loss  0.609545, Time  0.221253
2021-09-21 19:22:57.147714 : Epoch  5, Batch    391, Loss  0.614937, Average Loss  0.609508, Time  0.221588
2021-09-21 19:22:58.615939 : Epoch  5, Batch    392, Loss  0.610329, Average Loss  0.609508, Time  0.221044
2021-09-21 19:23:00.082565 : Epoch  5, Batch    393, Loss  0.607029, Average Loss  0.609563, Time  0.221222
2021-09-21 19:23:01.570934 : Epoch  5, Batch    394, Loss  0.613475, Average Loss  0.609559, Time  0.238886
2021-09-21 19:23:03.047607 : Epoch  5, Batch    395, Loss  0.623146, Average Loss  0.609571, Time  0.221653
2021-09-21 19:23:04.518691 : Epoch  5, Batch    396, Loss  0.609786, Average Loss  0.609615, Time  0.221471
2021-09-21 19:23:05.996010 : Epoch  5, Batch    397, Loss  0.605435, Average Loss  0.609513, Time  0.221538
2021-09-21 19:23:07.458981 : Epoch  5, Batch    398, Loss  0.606758, Average Loss  0.609513, Time  0.221995
2021-09-21 19:23:08.926009 : Epoch  5, Batch    399, Loss  0.612774, Average Loss  0.609524, Time  0.221193
2021-09-21 19:23:10.382916 : Epoch  5, Batch    400, Loss  0.606363, Average Loss  0.609457, Time  0.221134
2021-09-21 19:23:11.839980 : Epoch  5, Batch    401, Loss  0.608614, Average Loss  0.609464, Time  0.221926
2021-09-21 19:23:13.297179 : Epoch  5, Batch    402, Loss  0.602067, Average Loss  0.609386, Time  0.221096
2021-09-21 19:23:14.754996 : Epoch  5, Batch    403, Loss  0.603885, Average Loss  0.609405, Time  0.221413
2021-09-21 19:23:16.221785 : Epoch  5, Batch    404, Loss  0.610031, Average Loss  0.609396, Time  0.221508
2021-09-21 19:23:17.676950 : Epoch  5, Batch    405, Loss  0.605424, Average Loss  0.609390, Time  0.221334
2021-09-21 19:23:19.133991 : Epoch  5, Batch    406, Loss  0.593951, Average Loss  0.609315, Time  0.221184
2021-09-21 19:23:20.589960 : Epoch  5, Batch    407, Loss  0.606070, Average Loss  0.609327, Time  0.221432
2021-09-21 19:23:22.053936 : Epoch  5, Batch    408, Loss  0.607488, Average Loss  0.609266, Time  0.221394
2021-09-21 19:23:23.504067 : Epoch  5, Batch    409, Loss  0.610284, Average Loss  0.609306, Time  0.221444
2021-09-21 19:23:24.959981 : Epoch  5, Batch    410, Loss  0.624482, Average Loss  0.609409, Time  0.221207
2021-09-21 19:23:26.403727 : Epoch  5, Batch    411, Loss  0.608242, Average Loss  0.609384, Time  0.221102
2021-09-21 19:23:27.850771 : Epoch  5, Batch    412, Loss  0.607671, Average Loss  0.609420, Time  0.221141
2021-09-21 19:23:29.289915 : Epoch  5, Batch    413, Loss  0.609199, Average Loss  0.609426, Time  0.221137
2021-09-21 19:23:30.744200 : Epoch  5, Batch    414, Loss  0.612449, Average Loss  0.609467, Time  0.221134
2021-09-21 19:23:32.198214 : Epoch  5, Batch    415, Loss  0.599137, Average Loss  0.609398, Time  0.221346
2021-09-21 19:23:33.647060 : Epoch  5, Batch    416, Loss  0.602468, Average Loss  0.609399, Time  0.221189
2021-09-21 19:23:35.107974 : Epoch  5, Batch    417, Loss  0.614260, Average Loss  0.609386, Time  0.221436
2021-09-21 19:23:36.563161 : Epoch  5, Batch    418, Loss  0.617785, Average Loss  0.609427, Time  0.221518
2021-09-21 19:23:38.015973 : Epoch  5, Batch    419, Loss  0.594341, Average Loss  0.609275, Time  0.221173
2021-09-21 19:23:39.466044 : Epoch  5, Batch    420, Loss  0.610856, Average Loss  0.609297, Time  0.221389
2021-09-21 19:23:40.926926 : Epoch  5, Batch    421, Loss  0.601433, Average Loss  0.609295, Time  0.221299
2021-09-21 19:23:42.376146 : Epoch  5, Batch    422, Loss  0.602559, Average Loss  0.609322, Time  0.221187
2021-09-21 19:23:46.185937 : Epoch  5, Batch    423, Loss  0.598421, Average Loss  0.609247, Time  0.257787
2021-09-21 19:23:47.666919 : Epoch  5, Batch    424, Loss  0.609138, Average Loss  0.609290, Time  0.241883
2021-09-21 19:23:49.123947 : Epoch  5, Batch    425, Loss  0.600482, Average Loss  0.609223, Time  0.227805
2021-09-21 19:23:50.567225 : Epoch  5, Batch    426, Loss  0.617188, Average Loss  0.609262, Time  0.221389
2021-09-21 19:23:52.014729 : Epoch  5, Batch    427, Loss  0.620103, Average Loss  0.609381, Time  0.221253
2021-09-21 19:23:53.464971 : Epoch  5, Batch    428, Loss  0.602387, Average Loss  0.609330, Time  0.221136
2021-09-21 19:23:54.915020 : Epoch  5, Batch    429, Loss  0.613633, Average Loss  0.609416, Time  0.221082
2021-09-21 19:23:56.363707 : Epoch  5, Batch    430, Loss  0.613411, Average Loss  0.609452, Time  0.221105
2021-09-21 19:23:57.841933 : Epoch  5, Batch    431, Loss  0.606414, Average Loss  0.609410, Time  0.221221
2021-09-21 19:23:59.292817 : Epoch  5, Batch    432, Loss  0.605909, Average Loss  0.609448, Time  0.221576
2021-09-21 19:24:00.750325 : Epoch  5, Batch    433, Loss  0.624946, Average Loss  0.609562, Time  0.221144
2021-09-21 19:24:02.207204 : Epoch  5, Batch    434, Loss  0.604127, Average Loss  0.609583, Time  0.222780
2021-09-21 19:24:03.655685 : Epoch  5, Batch    435, Loss  0.608861, Average Loss  0.609553, Time  0.221157
2021-09-21 19:24:05.108741 : Epoch  5, Batch    436, Loss  0.610867, Average Loss  0.609535, Time  0.221012
2021-09-21 19:24:06.558238 : Epoch  5, Batch    437, Loss  0.605408, Average Loss  0.609434, Time  0.221993
2021-09-21 19:24:08.003927 : Epoch  5, Batch    438, Loss  0.603033, Average Loss  0.609430, Time  0.221176
2021-09-21 19:24:09.447047 : Epoch  5, Batch    439, Loss  0.602207, Average Loss  0.609353, Time  0.221166
2021-09-21 19:24:10.897163 : Epoch  5, Batch    440, Loss  0.615403, Average Loss  0.609312, Time  0.221578
2021-09-21 19:24:12.353986 : Epoch  5, Batch    441, Loss  0.605019, Average Loss  0.609233, Time  0.221146
2021-09-21 19:24:13.800310 : Epoch  5, Batch    442, Loss  0.616992, Average Loss  0.609310, Time  0.220774
2021-09-21 19:24:15.248760 : Epoch  5, Batch    443, Loss  0.611252, Average Loss  0.609308, Time  0.221539
2021-09-21 19:24:16.705433 : Epoch  5, Batch    444, Loss  0.610655, Average Loss  0.609316, Time  0.220988
2021-09-21 19:24:18.150947 : Epoch  5, Batch    445, Loss  0.612859, Average Loss  0.609302, Time  0.221394
2021-09-21 19:24:19.605060 : Epoch  5, Batch    446, Loss  0.603168, Average Loss  0.609223, Time  0.221075
2021-09-21 19:24:21.058193 : Epoch  5, Batch    447, Loss  0.608736, Average Loss  0.609215, Time  0.220965
2021-09-21 19:24:22.507759 : Epoch  5, Batch    448, Loss  0.606163, Average Loss  0.609201, Time  0.221359
2021-09-21 19:24:23.958651 : Epoch  5, Batch    449, Loss  0.599985, Average Loss  0.609141, Time  0.221139
2021-09-21 19:24:25.398701 : Epoch  5, Batch    450, Loss  0.601664, Average Loss  0.609101, Time  0.221262
2021-09-21 19:24:26.846034 : Epoch  5, Batch    451, Loss  0.608743, Average Loss  0.609069, Time  0.221463
2021-09-21 19:24:28.297944 : Epoch  5, Batch    452, Loss  0.621227, Average Loss  0.609097, Time  0.221195
2021-09-21 19:25:23.369690 : CheckPoint: Validation Loss  0.00025225, Best Loss  0.00024805
2021-09-21 19:25:24.853000 : Epoch  5, Batch    453, Loss  0.605615, Average Loss  0.609015, Time  0.225157
2021-09-21 19:25:26.315763 : Epoch  5, Batch    454, Loss  0.614890, Average Loss  0.609098, Time  0.221558
2021-09-21 19:25:27.772773 : Epoch  5, Batch    455, Loss  0.613020, Average Loss  0.609128, Time  0.221135
2021-09-21 19:25:29.226190 : Epoch  5, Batch    456, Loss  0.611480, Average Loss  0.609129, Time  0.221477
2021-09-21 19:25:30.674295 : Epoch  5, Batch    457, Loss  0.618846, Average Loss  0.609188, Time  0.221280
2021-09-21 19:25:32.130182 : Epoch  5, Batch    458, Loss  0.612088, Average Loss  0.609155, Time  0.221248
2021-09-21 19:25:33.584820 : Epoch  5, Batch    459, Loss  0.612192, Average Loss  0.609169, Time  0.220902
2021-09-21 19:25:35.035987 : Epoch  5, Batch    460, Loss  0.600226, Average Loss  0.609160, Time  0.221635
2021-09-21 19:25:36.488974 : Epoch  5, Batch    461, Loss  0.604827, Average Loss  0.609043, Time  0.220971
2021-09-21 19:25:37.955331 : Epoch  5, Batch    462, Loss  0.607258, Average Loss  0.609022, Time  0.222468
2021-09-21 19:25:39.417981 : Epoch  5, Batch    463, Loss  0.605517, Average Loss  0.608964, Time  0.221538
2021-09-21 19:25:40.888164 : Epoch  5, Batch    464, Loss  0.611420, Average Loss  0.608948, Time  0.221586
2021-09-21 19:25:42.349079 : Epoch  5, Batch    465, Loss  0.613673, Average Loss  0.609000, Time  0.221281
2021-09-21 19:25:43.821080 : Epoch  5, Batch    466, Loss  0.604068, Average Loss  0.608965, Time  0.221189
2021-09-21 19:25:45.297005 : Epoch  5, Batch    467, Loss  0.600118, Average Loss  0.608891, Time  0.221486
2021-09-21 19:25:46.771960 : Epoch  5, Batch    468, Loss  0.611267, Average Loss  0.608900, Time  0.221632
2021-09-21 19:25:48.234731 : Epoch  5, Batch    469, Loss  0.600352, Average Loss  0.608813, Time  0.221231
2021-09-21 19:25:49.703016 : Epoch  5, Batch    470, Loss  0.603130, Average Loss  0.608764, Time  0.222184
2021-09-21 19:25:51.174003 : Epoch  5, Batch    471, Loss  0.616555, Average Loss  0.608759, Time  0.221166
2021-09-21 19:25:52.635142 : Epoch  5, Batch    472, Loss  0.612614, Average Loss  0.608798, Time  0.221262
2021-09-21 19:25:54.095934 : Epoch  5, Batch    473, Loss  0.619406, Average Loss  0.608867, Time  0.221553
2021-09-21 19:25:55.561779 : Epoch  5, Batch    474, Loss  0.606323, Average Loss  0.608871, Time  0.221366
2021-09-21 19:25:57.024645 : Epoch  5, Batch    475, Loss  0.595051, Average Loss  0.608783, Time  0.221216
2021-09-21 19:25:58.535222 : Epoch  5, Batch    476, Loss  0.612109, Average Loss  0.608847, Time  0.221389
2021-09-21 19:26:00.002041 : Epoch  5, Batch    477, Loss  0.604516, Average Loss  0.608827, Time  0.221071
2021-09-21 19:26:01.467972 : Epoch  5, Batch    478, Loss  0.614741, Average Loss  0.608809, Time  0.221213
2021-09-21 19:26:02.933688 : Epoch  5, Batch    479, Loss  0.610860, Average Loss  0.608856, Time  0.221519
2021-09-21 19:26:04.474304 : Epoch  5, Batch    480, Loss  0.610455, Average Loss  0.608896, Time  0.222325
2021-09-21 19:26:05.938237 : Epoch  5, Batch    481, Loss  0.602200, Average Loss  0.608876, Time  0.221207
2021-09-21 19:26:07.395510 : Epoch  5, Batch    482, Loss  0.608657, Average Loss  0.608868, Time  0.221205
2021-09-21 19:26:08.855137 : Epoch  5, Batch    483, Loss  0.613597, Average Loss  0.608853, Time  0.221342
2021-09-21 19:26:10.314025 : Epoch  5, Batch    484, Loss  0.603514, Average Loss  0.608834, Time  0.221403
2021-09-21 19:26:11.773126 : Epoch  5, Batch    485, Loss  0.606767, Average Loss  0.608835, Time  0.221149
2021-09-21 19:26:13.235804 : Epoch  5, Batch    486, Loss  0.618203, Average Loss  0.608976, Time  0.221302
2021-09-21 19:26:14.694005 : Epoch  5, Batch    487, Loss  0.608366, Average Loss  0.608903, Time  0.221079
2021-09-21 19:26:16.156770 : Epoch  5, Batch    488, Loss  0.599726, Average Loss  0.608843, Time  0.221691
2021-09-21 19:26:17.626989 : Epoch  5, Batch    489, Loss  0.604943, Average Loss  0.608806, Time  0.222406
2021-09-21 19:26:19.094213 : Epoch  5, Batch    490, Loss  0.613394, Average Loss  0.608801, Time  0.221730
2021-09-21 19:26:20.563938 : Epoch  5, Batch    491, Loss  0.626973, Average Loss  0.608890, Time  0.221204
2021-09-21 19:26:22.027221 : Epoch  5, Batch    492, Loss  0.605012, Average Loss  0.608863, Time  0.221475
2021-09-21 19:26:23.494076 : Epoch  5, Batch    493, Loss  0.608062, Average Loss  0.608885, Time  0.222013
2021-09-21 19:26:24.963913 : Epoch  5, Batch    494, Loss  0.613634, Average Loss  0.608885, Time  0.221412
2021-09-21 19:26:26.424079 : Epoch  5, Batch    495, Loss  0.598135, Average Loss  0.608842, Time  0.221506
2021-09-21 19:26:27.884924 : Epoch  5, Batch    496, Loss  0.608499, Average Loss  0.608850, Time  0.221512
2021-09-21 19:26:29.357107 : Epoch  5, Batch    497, Loss  0.604004, Average Loss  0.608853, Time  0.221136
2021-09-21 19:26:30.832971 : Epoch  5, Batch    498, Loss  0.620245, Average Loss  0.608944, Time  0.222098
2021-09-21 19:26:32.303951 : Epoch  5, Batch    499, Loss  0.621824, Average Loss  0.609041, Time  0.221305
2021-09-21 19:26:33.765698 : Epoch  5, Batch    500, Loss  0.613698, Average Loss  0.609040, Time  0.222354
2021-09-21 19:26:35.228202 : Epoch  5, Batch    501, Loss  0.615783, Average Loss  0.609062, Time  0.221171
2021-09-21 19:26:36.687737 : Epoch  5, Batch    502, Loss  0.604664, Average Loss  0.609030, Time  0.221349
2021-09-21 19:26:38.152223 : Epoch  5, Batch    503, Loss  0.602509, Average Loss  0.608987, Time  0.221267
2021-09-21 19:26:39.620636 : Epoch  5, Batch    504, Loss  0.607522, Average Loss  0.609006, Time  0.222255
2021-09-21 19:26:41.097732 : Epoch  5, Batch    505, Loss  0.610133, Average Loss  0.609018, Time  0.221448
2021-09-21 19:26:41.229199 : Epoch  5, Batch    506, Loss  0.660962, Average Loss  0.609294, Time  0.087614
2021-09-21 19:26:42.691669 : Epoch  5, Batch    507, Loss  0.603564, Average Loss  0.609311, Time  0.221270
2021-09-21 19:26:44.161865 : Epoch  5, Batch    508, Loss  0.618338, Average Loss  0.609319, Time  0.221821
2021-09-21 19:26:45.621386 : Epoch  5, Batch    509, Loss  0.630060, Average Loss  0.609425, Time  0.221254
2021-09-21 19:26:47.092278 : Epoch  5, Batch    510, Loss  0.606300, Average Loss  0.609439, Time  0.221348
2021-09-21 19:26:48.548985 : Epoch  5, Batch    511, Loss  0.620378, Average Loss  0.609505, Time  0.221593
2021-09-21 19:26:50.007603 : Epoch  5, Batch    512, Loss  0.619938, Average Loss  0.609602, Time  0.221445
2021-09-21 19:26:51.471457 : Epoch  5, Batch    513, Loss  0.605210, Average Loss  0.609641, Time  0.221346
2021-09-21 19:26:52.933581 : Epoch  5, Batch    514, Loss  0.607607, Average Loss  0.609613, Time  0.221429
2021-09-21 19:26:54.391973 : Epoch  5, Batch    515, Loss  0.605205, Average Loss  0.609575, Time  0.221136
2021-09-21 19:26:55.860107 : Epoch  5, Batch    516, Loss  0.612954, Average Loss  0.609606, Time  0.221202
2021-09-21 19:26:57.326055 : Epoch  5, Batch    517, Loss  0.609280, Average Loss  0.609591, Time  0.221481
2021-09-21 19:26:58.783917 : Epoch  5, Batch    518, Loss  0.618635, Average Loss  0.609690, Time  0.221165
2021-09-21 19:27:00.245728 : Epoch  5, Batch    519, Loss  0.619886, Average Loss  0.609735, Time  0.221384
2021-09-21 19:27:01.697868 : Epoch  5, Batch    520, Loss  0.617115, Average Loss  0.609798, Time  0.221095
2021-09-21 19:27:03.152985 : Epoch  5, Batch    521, Loss  0.603859, Average Loss  0.609785, Time  0.221056
2021-09-21 19:27:04.619197 : Epoch  5, Batch    522, Loss  0.608046, Average Loss  0.609824, Time  0.221196
2021-09-21 19:27:06.079720 : Epoch  5, Batch    523, Loss  0.617376, Average Loss  0.609884, Time  0.221215
2021-09-21 19:27:09.816960 : Epoch  5, Batch    524, Loss  0.617644, Average Loss  0.609914, Time  0.261442
2021-09-21 19:27:11.282959 : Epoch  5, Batch    525, Loss  0.611710, Average Loss  0.609936, Time  0.233979
2021-09-21 19:27:12.732970 : Epoch  5, Batch    526, Loss  0.615830, Average Loss  0.609949, Time  0.221014
2021-09-21 19:27:14.194827 : Epoch  5, Batch    527, Loss  0.614804, Average Loss  0.609991, Time  0.221289
2021-09-21 19:27:15.651948 : Epoch  5, Batch    528, Loss  0.605709, Average Loss  0.609960, Time  0.221427
2021-09-21 19:27:17.118922 : Epoch  5, Batch    529, Loss  0.603763, Average Loss  0.609926, Time  0.221061
2021-09-21 19:27:18.580193 : Epoch  5, Batch    530, Loss  0.611113, Average Loss  0.609917, Time  0.221215
2021-09-21 19:27:20.028992 : Epoch  5, Batch    531, Loss  0.603083, Average Loss  0.609905, Time  0.221291
2021-09-21 19:27:21.482949 : Epoch  5, Batch    532, Loss  0.593701, Average Loss  0.609874, Time  0.221094
2021-09-21 19:27:22.948716 : Epoch  5, Batch    533, Loss  0.610915, Average Loss  0.609888, Time  0.221414
2021-09-21 19:27:24.413917 : Epoch  5, Batch    534, Loss  0.616418, Average Loss  0.609963, Time  0.221157
2021-09-21 19:27:25.872980 : Epoch  5, Batch    535, Loss  0.603582, Average Loss  0.609922, Time  0.221304
2021-09-21 19:27:27.324171 : Epoch  5, Batch    536, Loss  0.605963, Average Loss  0.609908, Time  0.221308
2021-09-21 19:27:28.777970 : Epoch  5, Batch    537, Loss  0.613806, Average Loss  0.609931, Time  0.221301
2021-09-21 19:27:30.234223 : Epoch  5, Batch    538, Loss  0.606711, Average Loss  0.609882, Time  0.221387
2021-09-21 19:27:31.697735 : Epoch  5, Batch    539, Loss  0.610477, Average Loss  0.609896, Time  0.221364
2021-09-21 19:27:33.171960 : Epoch  5, Batch    540, Loss  0.602620, Average Loss  0.609894, Time  0.221637
2021-09-21 19:27:34.635983 : Epoch  5, Batch    541, Loss  0.608899, Average Loss  0.609888, Time  0.221166
2021-09-21 19:27:36.103938 : Epoch  5, Batch    542, Loss  0.606851, Average Loss  0.609861, Time  0.221274
2021-09-21 19:27:37.587026 : Epoch  5, Batch    543, Loss  0.615912, Average Loss  0.609878, Time  0.221209
2021-09-21 19:27:39.044246 : Epoch  5, Batch    544, Loss  0.597652, Average Loss  0.609881, Time  0.221923
2021-09-21 19:27:40.496680 : Epoch  5, Batch    545, Loss  0.616303, Average Loss  0.609927, Time  0.221060
2021-09-21 19:27:41.956373 : Epoch  5, Batch    546, Loss  0.609231, Average Loss  0.609911, Time  0.235070
2021-09-21 19:27:43.417000 : Epoch  5, Batch    547, Loss  0.592907, Average Loss  0.609812, Time  0.221653
2021-09-21 19:27:44.871987 : Epoch  5, Batch    548, Loss  0.612297, Average Loss  0.609755, Time  0.221334
2021-09-21 19:27:46.327720 : Epoch  5, Batch    549, Loss  0.606491, Average Loss  0.609667, Time  0.221217
2021-09-21 19:27:47.789986 : Epoch  5, Batch    550, Loss  0.603845, Average Loss  0.609676, Time  0.221317
2021-09-21 19:27:49.253932 : Epoch  5, Batch    551, Loss  0.607888, Average Loss  0.609639, Time  0.221288
2021-09-21 19:27:50.708986 : Epoch  5, Batch    552, Loss  0.608819, Average Loss  0.609640, Time  0.221294
2021-09-21 19:28:45.562931 : CheckPoint: Validation Loss  0.00025971, Best Loss  0.00024805
2021-09-21 19:28:47.037017 : Epoch  5, Batch    553, Loss  0.604154, Average Loss  0.609633, Time  0.222238
2021-09-21 19:28:48.499705 : Epoch  5, Batch    554, Loss  0.606453, Average Loss  0.609600, Time  0.221223
2021-09-21 19:28:49.975722 : Epoch  5, Batch    555, Loss  0.613395, Average Loss  0.609619, Time  0.221368
2021-09-21 19:28:51.441021 : Epoch  5, Batch    556, Loss  0.611748, Average Loss  0.609602, Time  0.222301
2021-09-21 19:28:52.892549 : Epoch  5, Batch    557, Loss  0.598774, Average Loss  0.609535, Time  0.221333
2021-09-21 19:28:54.358157 : Epoch  5, Batch    558, Loss  0.613166, Average Loss  0.609551, Time  0.221709
2021-09-21 19:28:55.813183 : Epoch  5, Batch    559, Loss  0.622413, Average Loss  0.609691, Time  0.220974
2021-09-21 19:28:57.276002 : Epoch  5, Batch    560, Loss  0.610424, Average Loss  0.609682, Time  0.222698
2021-09-21 19:28:58.742224 : Epoch  5, Batch    561, Loss  0.613344, Average Loss  0.609641, Time  0.221174
2021-09-21 19:29:00.204785 : Epoch  5, Batch    562, Loss  0.595279, Average Loss  0.609564, Time  0.221127
2021-09-21 19:29:01.672991 : Epoch  5, Batch    563, Loss  0.604241, Average Loss  0.609544, Time  0.221261
2021-09-21 19:29:03.133729 : Epoch  5, Batch    564, Loss  0.599596, Average Loss  0.609505, Time  0.221362
2021-09-21 19:29:04.587218 : Epoch  5, Batch    565, Loss  0.612497, Average Loss  0.609514, Time  0.220963
2021-09-21 19:29:06.045641 : Epoch  5, Batch    566, Loss  0.603103, Average Loss  0.609505, Time  0.221582
2021-09-21 19:29:07.510057 : Epoch  5, Batch    567, Loss  0.617291, Average Loss  0.609588, Time  0.221132
2021-09-21 19:29:09.193705 : Epoch  5, Batch    568, Loss  0.609794, Average Loss  0.609586, Time  0.221619
2021-09-21 19:29:10.654778 : Epoch  5, Batch    569, Loss  0.610750, Average Loss  0.609615, Time  0.221117
2021-09-21 19:29:12.114974 : Epoch  5, Batch    570, Loss  0.599168, Average Loss  0.609499, Time  0.221289
2021-09-21 19:29:13.571698 : Epoch  5, Batch    571, Loss  0.595837, Average Loss  0.609402, Time  0.221413
2021-09-21 19:29:15.030992 : Epoch  5, Batch    572, Loss  0.604392, Average Loss  0.609373, Time  0.221384
2021-09-21 19:29:16.482927 : Epoch  5, Batch    573, Loss  0.617582, Average Loss  0.609450, Time  0.221263
2021-09-21 19:29:17.946688 : Epoch  5, Batch    574, Loss  0.610656, Average Loss  0.609455, Time  0.221437
2021-09-21 19:29:19.411686 : Epoch  5, Batch    575, Loss  0.610585, Average Loss  0.609459, Time  0.221051
2021-09-21 19:29:20.870194 : Epoch  5, Batch    576, Loss  0.603939, Average Loss  0.609374, Time  0.221362
2021-09-21 19:29:22.335031 : Epoch  5, Batch    577, Loss  0.602116, Average Loss  0.609331, Time  0.221135
2021-09-21 19:29:23.803956 : Epoch  5, Batch    578, Loss  0.608074, Average Loss  0.609335, Time  0.221890
2021-09-21 19:29:25.271835 : Epoch  5, Batch    579, Loss  0.608774, Average Loss  0.609284, Time  0.221306
2021-09-21 19:29:26.728229 : Epoch  5, Batch    580, Loss  0.613491, Average Loss  0.609238, Time  0.221909
2021-09-21 19:29:28.187024 : Epoch  5, Batch    581, Loss  0.609114, Average Loss  0.609211, Time  0.221325
2021-09-21 19:29:29.646941 : Epoch  5, Batch    582, Loss  0.604903, Average Loss  0.609172, Time  0.221416
2021-09-21 19:29:31.119134 : Epoch  5, Batch    583, Loss  0.612048, Average Loss  0.609208, Time  0.221258
2021-09-21 19:29:32.579937 : Epoch  5, Batch    584, Loss  0.613979, Average Loss  0.609209, Time  0.221290
2021-09-21 19:29:34.039218 : Epoch  5, Batch    585, Loss  0.610531, Average Loss  0.609231, Time  0.220986
2021-09-21 19:29:35.492929 : Epoch  5, Batch    586, Loss  0.608363, Average Loss  0.609231, Time  0.221412
2021-09-21 19:29:36.954711 : Epoch  5, Batch    587, Loss  0.614453, Average Loss  0.609283, Time  0.221234
2021-09-21 19:29:38.417088 : Epoch  5, Batch    588, Loss  0.602250, Average Loss  0.609293, Time  0.221366
2021-09-21 19:29:39.887952 : Epoch  5, Batch    589, Loss  0.602431, Average Loss  0.609266, Time  0.221714
2021-09-21 19:29:41.366302 : Epoch  5, Batch    590, Loss  0.599627, Average Loss  0.609211, Time  0.223166
2021-09-21 19:29:42.843228 : Epoch  5, Batch    591, Loss  0.609293, Average Loss  0.609183, Time  0.221742
2021-09-21 19:29:44.315791 : Epoch  5, Batch    592, Loss  0.610290, Average Loss  0.609183, Time  0.222636
2021-09-21 19:29:45.776708 : Epoch  5, Batch    593, Loss  0.595047, Average Loss  0.609123, Time  0.221554
2021-09-21 19:29:47.246079 : Epoch  5, Batch    594, Loss  0.622215, Average Loss  0.609166, Time  0.221774
2021-09-21 19:29:48.728820 : Epoch  5, Batch    595, Loss  0.603170, Average Loss  0.609066, Time  0.221444
2021-09-21 19:29:50.203255 : Epoch  5, Batch    596, Loss  0.600499, Average Loss  0.609020, Time  0.222154
2021-09-21 19:29:51.667039 : Epoch  5, Batch    597, Loss  0.615383, Average Loss  0.609070, Time  0.221719
2021-09-21 19:29:53.131805 : Epoch  5, Batch    598, Loss  0.617025, Average Loss  0.609121, Time  0.221509
2021-09-21 19:29:54.589918 : Epoch  5, Batch    599, Loss  0.598881, Average Loss  0.609052, Time  0.221631
2021-09-21 19:29:56.052980 : Epoch  5, Batch    600, Loss  0.611493, Average Loss  0.609077, Time  0.221805
2021-09-21 19:29:57.515983 : Epoch  5, Batch    601, Loss  0.609626, Average Loss  0.609082, Time  0.221476
2021-09-21 19:29:58.981936 : Epoch  5, Batch    602, Loss  0.617317, Average Loss  0.609159, Time  0.220987
2021-09-21 19:30:00.452976 : Epoch  5, Batch    603, Loss  0.609334, Average Loss  0.609186, Time  0.222509
2021-09-21 19:30:01.937910 : Epoch  5, Batch    604, Loss  0.607570, Average Loss  0.609174, Time  0.222869
2021-09-21 19:30:03.409781 : Epoch  5, Batch    605, Loss  0.605583, Average Loss  0.609174, Time  0.222042
2021-09-21 19:30:04.873741 : Epoch  5, Batch    606, Loss  0.609757, Average Loss  0.609253, Time  0.221284
2021-09-21 19:30:06.360722 : Epoch  5, Batch    607, Loss  0.613023, Average Loss  0.609288, Time  0.221144
2021-09-21 19:30:07.832215 : Epoch  5, Batch    608, Loss  0.608436, Average Loss  0.609293, Time  0.221396
2021-09-21 19:30:09.295083 : Epoch  5, Batch    609, Loss  0.618542, Average Loss  0.609334, Time  0.221708
2021-09-21 19:30:10.766686 : Epoch  5, Batch    610, Loss  0.608492, Average Loss  0.609254, Time  0.221606
2021-09-21 19:30:12.226758 : Epoch  5, Batch    611, Loss  0.604580, Average Loss  0.609236, Time  0.221606
2021-09-21 19:30:13.698058 : Epoch  5, Batch    612, Loss  0.609396, Average Loss  0.609245, Time  0.221797
2021-09-21 19:30:15.169083 : Epoch  5, Batch    613, Loss  0.606734, Average Loss  0.609232, Time  0.221222
2021-09-21 19:30:16.631247 : Epoch  5, Batch    614, Loss  0.618115, Average Loss  0.609261, Time  0.221749
2021-09-21 19:30:18.191693 : Epoch  5, Batch    615, Loss  0.605524, Average Loss  0.609293, Time  0.221702
2021-09-21 19:30:19.665770 : Epoch  5, Batch    616, Loss  0.603877, Average Loss  0.609300, Time  0.221946
2021-09-21 19:30:21.124665 : Epoch  5, Batch    617, Loss  0.624603, Average Loss  0.609351, Time  0.221340
2021-09-21 19:30:22.589937 : Epoch  5, Batch    618, Loss  0.617240, Average Loss  0.609349, Time  0.221215
2021-09-21 19:30:24.051005 : Epoch  5, Batch    619, Loss  0.611454, Average Loss  0.609434, Time  0.221108
2021-09-21 19:30:25.514970 : Epoch  5, Batch    620, Loss  0.608914, Average Loss  0.609424, Time  0.221822
2021-09-21 19:30:26.978991 : Epoch  5, Batch    621, Loss  0.610193, Average Loss  0.609468, Time  0.221069
2021-09-21 19:30:28.447777 : Epoch  5, Batch    622, Loss  0.599425, Average Loss  0.609453, Time  0.221745
2021-09-21 19:30:32.335978 : Epoch  5, Batch    623, Loss  0.612981, Average Loss  0.609525, Time  0.258430
2021-09-21 19:30:33.812699 : Epoch  5, Batch    624, Loss  0.620212, Average Loss  0.609581, Time  0.242681
2021-09-21 19:30:35.268958 : Epoch  5, Batch    625, Loss  0.603602, Average Loss  0.609596, Time  0.226020
2021-09-21 19:30:36.733730 : Epoch  5, Batch    626, Loss  0.597710, Average Loss  0.609499, Time  0.221460
2021-09-21 19:30:38.185755 : Epoch  5, Batch    627, Loss  0.611420, Average Loss  0.609456, Time  0.221250
2021-09-21 19:30:39.631938 : Epoch  5, Batch    628, Loss  0.614918, Average Loss  0.609518, Time  0.221534
2021-09-21 19:30:41.085994 : Epoch  5, Batch    629, Loss  0.603148, Average Loss  0.609466, Time  0.221269
2021-09-21 19:30:42.538939 : Epoch  5, Batch    630, Loss  0.602232, Average Loss  0.609410, Time  0.221205
2021-09-21 19:30:43.989009 : Epoch  5, Batch    631, Loss  0.594439, Average Loss  0.609350, Time  0.221012
2021-09-21 19:30:45.432503 : Epoch  5, Batch    632, Loss  0.602953, Average Loss  0.609335, Time  0.221286
2021-09-21 19:30:46.886792 : Epoch  5, Batch    633, Loss  0.604777, Average Loss  0.609234, Time  0.221934
2021-09-21 19:30:48.367086 : Epoch  5, Batch    634, Loss  0.611208, Average Loss  0.609270, Time  0.221611
2021-09-21 19:30:49.822707 : Epoch  5, Batch    635, Loss  0.610467, Average Loss  0.609278, Time  0.221342
2021-09-21 19:30:51.289708 : Epoch  5, Batch    636, Loss  0.612669, Average Loss  0.609287, Time  0.221682
2021-09-21 19:30:52.741203 : Epoch  5, Batch    637, Loss  0.598704, Average Loss  0.609253, Time  0.221017
2021-09-21 19:30:54.201657 : Epoch  5, Batch    638, Loss  0.605450, Average Loss  0.609265, Time  0.221269
2021-09-21 19:30:55.662682 : Epoch  5, Batch    639, Loss  0.604663, Average Loss  0.609278, Time  0.221637
2021-09-21 19:30:57.120025 : Epoch  5, Batch    640, Loss  0.597867, Average Loss  0.609190, Time  0.221169
2021-09-21 19:30:58.578244 : Epoch  5, Batch    641, Loss  0.600894, Average Loss  0.609169, Time  0.222117
2021-09-21 19:31:00.036042 : Epoch  5, Batch    642, Loss  0.612346, Average Loss  0.609146, Time  0.221440
2021-09-21 19:31:01.499994 : Epoch  5, Batch    643, Loss  0.617457, Average Loss  0.609177, Time  0.221085
2021-09-21 19:31:02.962781 : Epoch  5, Batch    644, Loss  0.608395, Average Loss  0.609166, Time  0.221346
2021-09-21 19:31:04.421681 : Epoch  5, Batch    645, Loss  0.607095, Average Loss  0.609137, Time  0.221513
2021-09-21 19:31:05.877767 : Epoch  5, Batch    646, Loss  0.606633, Average Loss  0.609154, Time  0.221116
2021-09-21 19:31:07.335974 : Epoch  5, Batch    647, Loss  0.603960, Average Loss  0.609130, Time  0.221265
2021-09-21 19:31:08.792950 : Epoch  5, Batch    648, Loss  0.616191, Average Loss  0.609181, Time  0.222533
2021-09-21 19:31:10.245043 : Epoch  5, Batch    649, Loss  0.604287, Average Loss  0.609202, Time  0.221421
2021-09-21 19:31:11.712735 : Epoch  5, Batch    650, Loss  0.620192, Average Loss  0.609295, Time  0.224684
2021-09-21 19:31:13.174044 : Epoch  5, Batch    651, Loss  0.607520, Average Loss  0.609289, Time  0.221260
2021-09-21 19:31:14.636687 : Epoch  5, Batch    652, Loss  0.603421, Average Loss  0.609200, Time  0.221484
2021-09-21 19:32:09.641682 : CheckPoint: Validation Loss  0.00025473, Best Loss  0.00024805
2021-09-21 19:32:11.140000 : Epoch  5, Batch    653, Loss  0.607233, Average Loss  0.609208, Time  0.252367
2021-09-21 19:32:12.598778 : Epoch  5, Batch    654, Loss  0.609224, Average Loss  0.609179, Time  0.225941
2021-09-21 19:32:14.061016 : Epoch  5, Batch    655, Loss  0.593227, Average Loss  0.609080, Time  0.221093
2021-09-21 19:32:15.512000 : Epoch  5, Batch    656, Loss  0.598683, Average Loss  0.609016, Time  0.221073
2021-09-21 19:32:16.973797 : Epoch  5, Batch    657, Loss  0.614364, Average Loss  0.608994, Time  0.221214
2021-09-21 19:32:18.433085 : Epoch  5, Batch    658, Loss  0.604275, Average Loss  0.608955, Time  0.221704
2021-09-21 19:32:19.898431 : Epoch  5, Batch    659, Loss  0.609692, Average Loss  0.608942, Time  0.221320
2021-09-21 19:32:21.366010 : Epoch  5, Batch    660, Loss  0.609655, Average Loss  0.608990, Time  0.221289
2021-09-21 19:32:22.820992 : Epoch  5, Batch    661, Loss  0.601981, Average Loss  0.608975, Time  0.221342
2021-09-21 19:32:24.277206 : Epoch  5, Batch    662, Loss  0.603190, Average Loss  0.608955, Time  0.221692
2021-09-21 19:32:25.731984 : Epoch  5, Batch    663, Loss  0.606514, Average Loss  0.608960, Time  0.221178
2021-09-21 19:32:27.188932 : Epoch  5, Batch    664, Loss  0.596303, Average Loss  0.608884, Time  0.221674
2021-09-21 19:32:28.652268 : Epoch  5, Batch    665, Loss  0.610579, Average Loss  0.608869, Time  0.221402
2021-09-21 19:32:30.113999 : Epoch  5, Batch    666, Loss  0.606485, Average Loss  0.608881, Time  0.222480
2021-09-21 19:32:31.576692 : Epoch  5, Batch    667, Loss  0.608695, Average Loss  0.608924, Time  0.221603
2021-09-21 19:32:33.035191 : Epoch  5, Batch    668, Loss  0.608698, Average Loss  0.608911, Time  0.221077
2021-09-21 19:32:34.489872 : Epoch  5, Batch    669, Loss  0.609904, Average Loss  0.608959, Time  0.221274
2021-09-21 19:32:35.962001 : Epoch  5, Batch    670, Loss  0.621869, Average Loss  0.609053, Time  0.222127
2021-09-21 19:32:37.424660 : Epoch  5, Batch    671, Loss  0.593952, Average Loss  0.608940, Time  0.221416
2021-09-21 19:32:38.902974 : Epoch  5, Batch    672, Loss  0.615663, Average Loss  0.608955, Time  0.221379
2021-09-21 19:32:40.382006 : Epoch  5, Batch    673, Loss  0.613581, Average Loss  0.608926, Time  0.222216
2021-09-21 19:32:41.843233 : Epoch  5, Batch    674, Loss  0.615713, Average Loss  0.608973, Time  0.221905
2021-09-21 19:32:43.314993 : Epoch  5, Batch    675, Loss  0.603987, Average Loss  0.609017, Time  0.221115
2021-09-21 19:32:44.780997 : Epoch  5, Batch    676, Loss  0.618596, Average Loss  0.609050, Time  0.221773
2021-09-21 19:32:46.242005 : Epoch  5, Batch    677, Loss  0.615458, Average Loss  0.609104, Time  0.221577
2021-09-21 19:32:47.704252 : Epoch  5, Batch    678, Loss  0.612746, Average Loss  0.609094, Time  0.221350
2021-09-21 19:32:49.182045 : Epoch  5, Batch    679, Loss  0.614428, Average Loss  0.609112, Time  0.221121
2021-09-21 19:32:50.647127 : Epoch  5, Batch    680, Loss  0.597683, Average Loss  0.609048, Time  0.221766
2021-09-21 19:32:52.102977 : Epoch  5, Batch    681, Loss  0.602068, Average Loss  0.609048, Time  0.221981
2021-09-21 19:32:53.556612 : Epoch  5, Batch    682, Loss  0.597942, Average Loss  0.608994, Time  0.221346
2021-09-21 19:32:55.013906 : Epoch  5, Batch    683, Loss  0.605786, Average Loss  0.608955, Time  0.221629
2021-09-21 19:32:56.504031 : Epoch  5, Batch    684, Loss  0.614620, Average Loss  0.609011, Time  0.222074
2021-09-21 19:32:57.965775 : Epoch  5, Batch    685, Loss  0.613435, Average Loss  0.609044, Time  0.220987
2021-09-21 19:32:59.417542 : Epoch  5, Batch    686, Loss  0.607825, Average Loss  0.608992, Time  0.221296
2021-09-21 19:33:01.018750 : Epoch  5, Batch    687, Loss  0.602460, Average Loss  0.608963, Time  0.221832
2021-09-21 19:33:02.487010 : Epoch  5, Batch    688, Loss  0.603887, Average Loss  0.608983, Time  0.221244
2021-09-21 19:33:03.943989 : Epoch  5, Batch    689, Loss  0.608810, Average Loss  0.609003, Time  0.221545
2021-09-21 19:33:05.398756 : Epoch  5, Batch    690, Loss  0.601963, Average Loss  0.608946, Time  0.221426
2021-09-21 19:33:06.864964 : Epoch  5, Batch    691, Loss  0.603514, Average Loss  0.608828, Time  0.221107
2021-09-21 19:33:08.322913 : Epoch  5, Batch    692, Loss  0.604609, Average Loss  0.608826, Time  0.221598
2021-09-21 19:33:09.773187 : Epoch  5, Batch    693, Loss  0.603205, Average Loss  0.608802, Time  0.221385
2021-09-21 19:33:11.232981 : Epoch  5, Batch    694, Loss  0.618661, Average Loss  0.608827, Time  0.221272
2021-09-21 19:33:12.687747 : Epoch  5, Batch    695, Loss  0.605676, Average Loss  0.608865, Time  0.221249
2021-09-21 19:33:14.165990 : Epoch  5, Batch    696, Loss  0.605721, Average Loss  0.608851, Time  0.221360
2021-09-21 19:33:15.625994 : Epoch  5, Batch    697, Loss  0.613747, Average Loss  0.608900, Time  0.221430
2021-09-21 19:33:17.088803 : Epoch  5, Batch    698, Loss  0.613046, Average Loss  0.608864, Time  0.221240
2021-09-21 19:33:18.544517 : Epoch  5, Batch    699, Loss  0.613810, Average Loss  0.608824, Time  0.221171
2021-09-21 19:33:20.011969 : Epoch  5, Batch    700, Loss  0.614789, Average Loss  0.608829, Time  0.221370
2021-09-21 19:33:21.469749 : Epoch  5, Batch    701, Loss  0.616688, Average Loss  0.608834, Time  0.221226
2021-09-21 19:33:22.921035 : Epoch  5, Batch    702, Loss  0.607120, Average Loss  0.608846, Time  0.221226
2021-09-21 19:33:24.394954 : Epoch  5, Batch    703, Loss  0.604388, Average Loss  0.608855, Time  0.221296
2021-09-21 19:33:25.864696 : Epoch  5, Batch    704, Loss  0.616261, Average Loss  0.608899, Time  0.221520
2021-09-21 19:33:27.323212 : Epoch  5, Batch    705, Loss  0.611550, Average Loss  0.608906, Time  0.221266
2021-09-21 19:33:28.790094 : Epoch  5, Batch    706, Loss  0.614988, Average Loss  0.608676, Time  0.221385
2021-09-21 19:33:30.258702 : Epoch  5, Batch    707, Loss  0.617414, Average Loss  0.608745, Time  0.221519
2021-09-21 19:33:31.719275 : Epoch  5, Batch    708, Loss  0.601024, Average Loss  0.608659, Time  0.221450
2021-09-21 19:33:33.176024 : Epoch  5, Batch    709, Loss  0.597247, Average Loss  0.608495, Time  0.221036
2021-09-21 19:33:34.631011 : Epoch  5, Batch    710, Loss  0.603370, Average Loss  0.608480, Time  0.221739
2021-09-21 19:33:36.085614 : Epoch  5, Batch    711, Loss  0.609880, Average Loss  0.608428, Time  0.221233
2021-09-21 19:33:37.541708 : Epoch  5, Batch    712, Loss  0.603724, Average Loss  0.608347, Time  0.221287
2021-09-21 19:33:38.998979 : Epoch  5, Batch    713, Loss  0.610106, Average Loss  0.608371, Time  0.221299
2021-09-21 19:33:40.461807 : Epoch  5, Batch    714, Loss  0.609702, Average Loss  0.608382, Time  0.221999
2021-09-21 19:33:41.923921 : Epoch  5, Batch    715, Loss  0.602467, Average Loss  0.608368, Time  0.221247
2021-09-21 19:33:43.386929 : Epoch  5, Batch    716, Loss  0.607228, Average Loss  0.608339, Time  0.221377
2021-09-21 19:33:44.849742 : Epoch  5, Batch    717, Loss  0.604171, Average Loss  0.608314, Time  0.220983
2021-09-21 19:33:46.315206 : Epoch  5, Batch    718, Loss  0.617514, Average Loss  0.608308, Time  0.221179
2021-09-21 19:33:47.778263 : Epoch  5, Batch    719, Loss  0.600413, Average Loss  0.608211, Time  0.221617
2021-09-21 19:33:49.235184 : Epoch  5, Batch    720, Loss  0.614086, Average Loss  0.608196, Time  0.221588
2021-09-21 19:33:50.694175 : Epoch  5, Batch    721, Loss  0.601987, Average Loss  0.608186, Time  0.221771
2021-09-21 19:33:52.154219 : Epoch  5, Batch    722, Loss  0.614868, Average Loss  0.608220, Time  0.221078
2021-09-21 19:33:55.921958 : Epoch  5, Batch    723, Loss  0.605149, Average Loss  0.608159, Time  0.253153
2021-09-21 19:33:57.385288 : Epoch  5, Batch    724, Loss  0.604525, Average Loss  0.608094, Time  0.225980
2021-09-21 19:33:58.839058 : Epoch  5, Batch    725, Loss  0.604377, Average Loss  0.608057, Time  0.221374
2021-09-21 19:34:00.289291 : Epoch  5, Batch    726, Loss  0.597800, Average Loss  0.607967, Time  0.221279
2021-09-21 19:34:01.746789 : Epoch  5, Batch    727, Loss  0.611416, Average Loss  0.607950, Time  0.221313
2021-09-21 19:34:03.203919 : Epoch  5, Batch    728, Loss  0.604283, Average Loss  0.607943, Time  0.221327
2021-09-21 19:34:04.659096 : Epoch  5, Batch    729, Loss  0.613463, Average Loss  0.607991, Time  0.221180
2021-09-21 19:34:06.112211 : Epoch  5, Batch    730, Loss  0.597363, Average Loss  0.607922, Time  0.221219
2021-09-21 19:34:07.572966 : Epoch  5, Batch    731, Loss  0.608763, Average Loss  0.607951, Time  0.221375
2021-09-21 19:34:09.034000 : Epoch  5, Batch    732, Loss  0.606647, Average Loss  0.608016, Time  0.221212
2021-09-21 19:34:10.495781 : Epoch  5, Batch    733, Loss  0.607044, Average Loss  0.607996, Time  0.221380
2021-09-21 19:34:11.941195 : Epoch  5, Batch    734, Loss  0.608954, Average Loss  0.607959, Time  0.220936
2021-09-21 19:34:13.393895 : Epoch  5, Batch    735, Loss  0.609554, Average Loss  0.607989, Time  0.221065
2021-09-21 19:34:14.843196 : Epoch  5, Batch    736, Loss  0.606624, Average Loss  0.607992, Time  0.221188
2021-09-21 19:34:16.292979 : Epoch  5, Batch    737, Loss  0.602003, Average Loss  0.607933, Time  0.221375
2021-09-21 19:34:17.752192 : Epoch  5, Batch    738, Loss  0.614867, Average Loss  0.607974, Time  0.221491
2021-09-21 19:34:19.212737 : Epoch  5, Batch    739, Loss  0.608040, Average Loss  0.607962, Time  0.221433
2021-09-21 19:34:20.672927 : Epoch  5, Batch    740, Loss  0.594951, Average Loss  0.607923, Time  0.221464
2021-09-21 19:34:22.131062 : Epoch  5, Batch    741, Loss  0.621540, Average Loss  0.607986, Time  0.221190
2021-09-21 19:34:23.591941 : Epoch  5, Batch    742, Loss  0.591947, Average Loss  0.607912, Time  0.221135
2021-09-21 19:34:25.049074 : Epoch  5, Batch    743, Loss  0.609372, Average Loss  0.607879, Time  0.221269
2021-09-21 19:34:26.503045 : Epoch  5, Batch    744, Loss  0.609251, Average Loss  0.607937, Time  0.222063
2021-09-21 19:34:27.961208 : Epoch  5, Batch    745, Loss  0.603148, Average Loss  0.607871, Time  0.221111
2021-09-21 19:34:29.427019 : Epoch  5, Batch    746, Loss  0.594015, Average Loss  0.607795, Time  0.221094
2021-09-21 19:34:30.887989 : Epoch  5, Batch    747, Loss  0.600274, Average Loss  0.607832, Time  0.221077
2021-09-21 19:34:32.347065 : Epoch  5, Batch    748, Loss  0.604433, Average Loss  0.607793, Time  0.221020
2021-09-21 19:34:33.818680 : Epoch  5, Batch    749, Loss  0.599616, Average Loss  0.607759, Time  0.221357
2021-09-21 19:34:35.280960 : Epoch  5, Batch    750, Loss  0.615987, Average Loss  0.607819, Time  0.221044
2021-09-21 19:34:36.742986 : Epoch  5, Batch    751, Loss  0.612764, Average Loss  0.607844, Time  0.221362
2021-09-21 19:34:38.204980 : Epoch  5, Batch    752, Loss  0.599713, Average Loss  0.607798, Time  0.221479
2021-09-21 19:35:33.194600 : CheckPoint: Validation Loss  0.00025009, Best Loss  0.00024805
2021-09-21 19:35:34.675041 : Epoch  5, Batch    753, Loss  0.612846, Average Loss  0.607842, Time  0.222765
2021-09-21 19:35:36.166750 : Epoch  5, Batch    754, Loss  0.601301, Average Loss  0.607816, Time  0.222690
2021-09-21 19:35:37.627071 : Epoch  5, Batch    755, Loss  0.617319, Average Loss  0.607835, Time  0.221018
2021-09-21 19:35:39.090772 : Epoch  5, Batch    756, Loss  0.597807, Average Loss  0.607766, Time  0.221961
2021-09-21 19:35:40.551985 : Epoch  5, Batch    757, Loss  0.595681, Average Loss  0.607750, Time  0.221292
2021-09-21 19:35:42.005268 : Epoch  5, Batch    758, Loss  0.617343, Average Loss  0.607771, Time  0.221233
2021-09-21 19:35:43.461031 : Epoch  5, Batch    759, Loss  0.612997, Average Loss  0.607724, Time  0.221789
2021-09-21 19:35:44.915901 : Epoch  5, Batch    760, Loss  0.604832, Average Loss  0.607696, Time  0.221280
2021-09-21 19:35:46.370996 : Epoch  5, Batch    761, Loss  0.603053, Average Loss  0.607645, Time  0.221215
2021-09-21 19:35:47.847018 : Epoch  5, Batch    762, Loss  0.620455, Average Loss  0.607771, Time  0.221459
2021-09-21 19:35:49.296383 : Epoch  5, Batch    763, Loss  0.624527, Average Loss  0.607872, Time  0.220834
2021-09-21 19:35:50.752565 : Epoch  5, Batch    764, Loss  0.607802, Average Loss  0.607913, Time  0.221448
2021-09-21 19:35:52.196726 : Epoch  5, Batch    765, Loss  0.605496, Average Loss  0.607878, Time  0.220985
2021-09-21 19:35:53.646779 : Epoch  5, Batch    766, Loss  0.607624, Average Loss  0.607901, Time  0.221215
2021-09-21 19:35:55.096728 : Epoch  5, Batch    767, Loss  0.603571, Average Loss  0.607832, Time  0.221021
2021-09-21 19:35:56.552240 : Epoch  5, Batch    768, Loss  0.599152, Average Loss  0.607779, Time  0.221429
2021-09-21 19:35:58.015967 : Epoch  5, Batch    769, Loss  0.610248, Average Loss  0.607776, Time  0.221280
2021-09-21 19:35:59.468736 : Epoch  5, Batch    770, Loss  0.607451, Average Loss  0.607818, Time  0.221585
2021-09-21 19:36:00.920723 : Epoch  5, Batch    771, Loss  0.604680, Average Loss  0.607862, Time  0.221284
2021-09-21 19:36:02.370086 : Epoch  5, Batch    772, Loss  0.604901, Average Loss  0.607864, Time  0.221663
2021-09-21 19:36:03.817670 : Epoch  5, Batch    773, Loss  0.612812, Average Loss  0.607841, Time  0.222078
2021-09-21 19:36:05.269849 : Epoch  5, Batch    774, Loss  0.610565, Average Loss  0.607840, Time  0.221514
2021-09-21 19:36:06.712815 : Epoch  5, Batch    775, Loss  0.610012, Average Loss  0.607837, Time  0.221442
2021-09-21 19:36:08.196742 : Epoch  5, Batch    776, Loss  0.595583, Average Loss  0.607795, Time  0.221492
2021-09-21 19:36:09.647695 : Epoch  5, Batch    777, Loss  0.606032, Average Loss  0.607815, Time  0.221164
2021-09-21 19:36:11.101809 : Epoch  5, Batch    778, Loss  0.612231, Average Loss  0.607836, Time  0.221605
2021-09-21 19:36:12.556686 : Epoch  5, Batch    779, Loss  0.612164, Average Loss  0.607853, Time  0.221404
2021-09-21 19:36:13.997657 : Epoch  5, Batch    780, Loss  0.607243, Average Loss  0.607822, Time  0.221192
2021-09-21 19:36:15.448680 : Epoch  5, Batch    781, Loss  0.598213, Average Loss  0.607767, Time  0.221281
2021-09-21 19:36:16.905902 : Epoch  5, Batch    782, Loss  0.610033, Average Loss  0.607793, Time  0.221100
2021-09-21 19:36:18.358711 : Epoch  5, Batch    783, Loss  0.615649, Average Loss  0.607811, Time  0.220970
2021-09-21 19:36:19.814910 : Epoch  5, Batch    784, Loss  0.605075, Average Loss  0.607766, Time  0.221353
2021-09-21 19:36:21.287687 : Epoch  5, Batch    785, Loss  0.598731, Average Loss  0.607707, Time  0.221316
2021-09-21 19:36:22.739698 : Epoch  5, Batch    786, Loss  0.605158, Average Loss  0.607691, Time  0.221679
2021-09-21 19:36:24.195715 : Epoch  5, Batch    787, Loss  0.599337, Average Loss  0.607616, Time  0.221464
2021-09-21 19:36:24.217760 : Saving Model after 5-th Epoch.
2021-09-21 19:36:24.985631 : Epoch Finished.
2021-09-21 19:36:27.351584 : Batch Shuffled
2021-09-21 19:36:28.860786 : Epoch  6, Batch      1, Loss  0.599618, Average Loss  0.607602, Time  0.254690
2021-09-21 19:36:30.344756 : Epoch  6, Batch      2, Loss  0.598562, Average Loss  0.607583, Time  0.249345
2021-09-21 19:36:31.787042 : Epoch  6, Batch      3, Loss  0.607671, Average Loss  0.607623, Time  0.221259
2021-09-21 19:36:33.237754 : Epoch  6, Batch      4, Loss  0.613713, Average Loss  0.607645, Time  0.221190
2021-09-21 19:36:34.685211 : Epoch  6, Batch      5, Loss  0.605638, Average Loss  0.607622, Time  0.221938
2021-09-21 19:36:36.135181 : Epoch  6, Batch      6, Loss  0.600983, Average Loss  0.607652, Time  0.221071
2021-09-21 19:36:37.688116 : Epoch  6, Batch      7, Loss  0.620458, Average Loss  0.607643, Time  0.221226
2021-09-21 19:36:39.159715 : Epoch  6, Batch      8, Loss  0.590634, Average Loss  0.607580, Time  0.221848
2021-09-21 19:36:40.609118 : Epoch  6, Batch      9, Loss  0.597451, Average Loss  0.607565, Time  0.221311
2021-09-21 19:36:42.058746 : Epoch  6, Batch     10, Loss  0.606042, Average Loss  0.607518, Time  0.221532
2021-09-21 19:36:43.516757 : Epoch  6, Batch     11, Loss  0.600571, Average Loss  0.607436, Time  0.221645
2021-09-21 19:36:44.976923 : Epoch  6, Batch     12, Loss  0.597733, Average Loss  0.607430, Time  0.221115
2021-09-21 19:36:46.428217 : Epoch  6, Batch     13, Loss  0.600744, Average Loss  0.607377, Time  0.221387
2021-09-21 19:36:47.879140 : Epoch  6, Batch     14, Loss  0.629040, Average Loss  0.607474, Time  0.221045
2021-09-21 19:36:49.327888 : Epoch  6, Batch     15, Loss  0.607221, Average Loss  0.607423, Time  0.221100
2021-09-21 19:36:50.788937 : Epoch  6, Batch     16, Loss  0.605718, Average Loss  0.607405, Time  0.221324
2021-09-21 19:36:52.238072 : Epoch  6, Batch     17, Loss  0.601865, Average Loss  0.607377, Time  0.221694
2021-09-21 19:36:53.691932 : Epoch  6, Batch     18, Loss  0.605572, Average Loss  0.607377, Time  0.221252
2021-09-21 19:36:55.149996 : Epoch  6, Batch     19, Loss  0.605293, Average Loss  0.607354, Time  0.221221
2021-09-21 19:36:56.605686 : Epoch  6, Batch     20, Loss  0.611378, Average Loss  0.607346, Time  0.220991
2021-09-21 19:36:58.055167 : Epoch  6, Batch     21, Loss  0.607301, Average Loss  0.607340, Time  0.221464
2021-09-21 19:36:59.512868 : Epoch  6, Batch     22, Loss  0.615112, Average Loss  0.607323, Time  0.221294
2021-09-21 19:37:00.961005 : Epoch  6, Batch     23, Loss  0.600382, Average Loss  0.607283, Time  0.221188
2021-09-21 19:37:02.411981 : Epoch  6, Batch     24, Loss  0.611978, Average Loss  0.607320, Time  0.221208
2021-09-21 19:37:03.878016 : Epoch  6, Batch     25, Loss  0.593688, Average Loss  0.607241, Time  0.222104
2021-09-21 19:37:05.347770 : Epoch  6, Batch     26, Loss  0.617398, Average Loss  0.607294, Time  0.221161
2021-09-21 19:37:06.810693 : Epoch  6, Batch     27, Loss  0.609398, Average Loss  0.607251, Time  0.221325
2021-09-21 19:37:08.276991 : Epoch  6, Batch     28, Loss  0.608724, Average Loss  0.607267, Time  0.221440
2021-09-21 19:37:09.725738 : Epoch  6, Batch     29, Loss  0.600245, Average Loss  0.607249, Time  0.221617
2021-09-21 19:37:11.184051 : Epoch  6, Batch     30, Loss  0.605529, Average Loss  0.607153, Time  0.221260
2021-09-21 19:37:12.649922 : Epoch  6, Batch     31, Loss  0.606034, Average Loss  0.607097, Time  0.221690
2021-09-21 19:37:14.103768 : Epoch  6, Batch     32, Loss  0.610055, Average Loss  0.607090, Time  0.221070
2021-09-21 19:37:15.561217 : Epoch  6, Batch     33, Loss  0.602203, Average Loss  0.607057, Time  0.221332
2021-09-21 19:37:17.016265 : Epoch  6, Batch     34, Loss  0.608027, Average Loss  0.607046, Time  0.221031
2021-09-21 19:37:18.492312 : Epoch  6, Batch     35, Loss  0.596533, Average Loss  0.607031, Time  0.221813
2021-09-21 19:37:19.960934 : Epoch  6, Batch     36, Loss  0.606871, Average Loss  0.607001, Time  0.221324
2021-09-21 19:37:21.442710 : Epoch  6, Batch     37, Loss  0.600035, Average Loss  0.606900, Time  0.221321
2021-09-21 19:37:22.911931 : Epoch  6, Batch     38, Loss  0.605543, Average Loss  0.606910, Time  0.221125
2021-09-21 19:37:24.370092 : Epoch  6, Batch     39, Loss  0.602516, Average Loss  0.606934, Time  0.221362
2021-09-21 19:37:25.830767 : Epoch  6, Batch     40, Loss  0.605169, Average Loss  0.606902, Time  0.222573
2021-09-21 19:37:27.292899 : Epoch  6, Batch     41, Loss  0.612996, Average Loss  0.606893, Time  0.221449
2021-09-21 19:37:28.748695 : Epoch  6, Batch     42, Loss  0.614852, Average Loss  0.606951, Time  0.220999
2021-09-21 19:37:30.207018 : Epoch  6, Batch     43, Loss  0.606916, Average Loss  0.606975, Time  0.222663
2021-09-21 19:37:31.659603 : Epoch  6, Batch     44, Loss  0.612012, Average Loss  0.607063, Time  0.221119
2021-09-21 19:37:33.114998 : Epoch  6, Batch     45, Loss  0.614515, Average Loss  0.607120, Time  0.221097
2021-09-21 19:37:34.579786 : Epoch  6, Batch     46, Loss  0.608257, Average Loss  0.607138, Time  0.221686
2021-09-21 19:37:36.044741 : Epoch  6, Batch     47, Loss  0.613470, Average Loss  0.607149, Time  0.221350
2021-09-21 19:37:37.517709 : Epoch  6, Batch     48, Loss  0.597941, Average Loss  0.607087, Time  0.221396
2021-09-21 19:37:38.975762 : Epoch  6, Batch     49, Loss  0.610969, Average Loss  0.607078, Time  0.221110
2021-09-21 19:37:40.432855 : Epoch  6, Batch     50, Loss  0.609242, Average Loss  0.607131, Time  0.221172
2021-09-21 19:37:41.892126 : Epoch  6, Batch     51, Loss  0.602595, Average Loss  0.607116, Time  0.221496
2021-09-21 19:37:43.355000 : Epoch  6, Batch     52, Loss  0.604506, Average Loss  0.607116, Time  0.220980
2021-09-21 19:37:44.816740 : Epoch  6, Batch     53, Loss  0.604881, Average Loss  0.607151, Time  0.221117
2021-09-21 19:37:46.277152 : Epoch  6, Batch     54, Loss  0.600507, Average Loss  0.607149, Time  0.221418
2021-09-21 19:37:47.731109 : Epoch  6, Batch     55, Loss  0.618795, Average Loss  0.607181, Time  0.221101
2021-09-21 19:37:49.195143 : Epoch  6, Batch     56, Loss  0.596379, Average Loss  0.607076, Time  0.221016
2021-09-21 19:37:50.662884 : Epoch  6, Batch     57, Loss  0.604090, Average Loss  0.607054, Time  0.221221
2021-09-21 19:37:52.118999 : Epoch  6, Batch     58, Loss  0.613159, Average Loss  0.607084, Time  0.220996
2021-09-21 19:37:53.575877 : Epoch  6, Batch     59, Loss  0.605217, Average Loss  0.607077, Time  0.221403
2021-09-21 19:37:55.036683 : Epoch  6, Batch     60, Loss  0.609923, Average Loss  0.607107, Time  0.221021
2021-09-21 19:37:56.491997 : Epoch  6, Batch     61, Loss  0.586797, Average Loss  0.606960, Time  0.221697
2021-09-21 19:37:57.945112 : Epoch  6, Batch     62, Loss  0.609411, Average Loss  0.606986, Time  0.221759
2021-09-21 19:37:59.402811 : Epoch  6, Batch     63, Loss  0.615953, Average Loss  0.606965, Time  0.221343
2021-09-21 19:38:00.862368 : Epoch  6, Batch     64, Loss  0.593189, Average Loss  0.606893, Time  0.221488
2021-09-21 19:38:04.762754 : Epoch  6, Batch     65, Loss  0.608469, Average Loss  0.606918, Time  0.265562
2021-09-21 19:38:59.859687 : CheckPoint: Validation Loss  0.00025413, Best Loss  0.00024805
2021-09-21 19:39:01.338860 : Epoch  6, Batch     66, Loss  0.619867, Average Loss  0.606981, Time  0.221785
2021-09-21 19:39:02.809816 : Epoch  6, Batch     67, Loss  0.601300, Average Loss  0.606942, Time  0.222110
2021-09-21 19:39:04.276070 : Epoch  6, Batch     68, Loss  0.611836, Average Loss  0.607035, Time  0.221584
2021-09-21 19:39:05.737946 : Epoch  6, Batch     69, Loss  0.600044, Average Loss  0.607042, Time  0.221354
2021-09-21 19:39:07.208749 : Epoch  6, Batch     70, Loss  0.605217, Average Loss  0.606996, Time  0.221244
2021-09-21 19:39:08.673212 : Epoch  6, Batch     71, Loss  0.608160, Average Loss  0.607015, Time  0.221497
2021-09-21 19:39:10.133796 : Epoch  6, Batch     72, Loss  0.611969, Average Loss  0.607027, Time  0.221482
2021-09-21 19:39:11.594978 : Epoch  6, Batch     73, Loss  0.610930, Average Loss  0.607033, Time  0.221220
2021-09-21 19:39:13.062779 : Epoch  6, Batch     74, Loss  0.596832, Average Loss  0.607007, Time  0.221309
2021-09-21 19:39:14.529006 : Epoch  6, Batch     75, Loss  0.611389, Average Loss  0.607048, Time  0.221338
2021-09-21 19:39:15.992894 : Epoch  6, Batch     76, Loss  0.616084, Average Loss  0.607096, Time  0.221160
2021-09-21 19:39:17.452839 : Epoch  6, Batch     77, Loss  0.613375, Average Loss  0.607182, Time  0.222012
2021-09-21 19:39:18.914103 : Epoch  6, Batch     78, Loss  0.598726, Average Loss  0.607122, Time  0.221228
2021-09-21 19:39:20.372758 : Epoch  6, Batch     79, Loss  0.586459, Average Loss  0.607022, Time  0.221457
2021-09-21 19:39:21.855734 : Epoch  6, Batch     80, Loss  0.601410, Average Loss  0.606986, Time  0.221618
2021-09-21 19:39:23.316713 : Epoch  6, Batch     81, Loss  0.602333, Average Loss  0.606954, Time  0.221094
2021-09-21 19:39:24.779716 : Epoch  6, Batch     82, Loss  0.608793, Average Loss  0.606948, Time  0.221303
2021-09-21 19:39:26.258886 : Epoch  6, Batch     83, Loss  0.614889, Average Loss  0.606913, Time  0.221596
2021-09-21 19:39:27.719380 : Epoch  6, Batch     84, Loss  0.604830, Average Loss  0.606968, Time  0.221130
2021-09-21 19:39:29.186738 : Epoch  6, Batch     85, Loss  0.602393, Average Loss  0.606901, Time  0.221398
2021-09-21 19:39:30.650722 : Epoch  6, Batch     86, Loss  0.608209, Average Loss  0.606875, Time  0.221388
2021-09-21 19:39:32.114939 : Epoch  6, Batch     87, Loss  0.604543, Average Loss  0.606819, Time  0.221545
2021-09-21 19:39:33.572687 : Epoch  6, Batch     88, Loss  0.597535, Average Loss  0.606787, Time  0.221559
2021-09-21 19:39:35.038733 : Epoch  6, Batch     89, Loss  0.603260, Average Loss  0.606710, Time  0.221599
2021-09-21 19:39:36.500698 : Epoch  6, Batch     90, Loss  0.615787, Average Loss  0.606711, Time  0.221049
2021-09-21 19:39:37.959980 : Epoch  6, Batch     91, Loss  0.602509, Average Loss  0.606660, Time  0.221145
2021-09-21 19:39:39.428735 : Epoch  6, Batch     92, Loss  0.594837, Average Loss  0.606562, Time  0.221264
2021-09-21 19:39:40.893900 : Epoch  6, Batch     93, Loss  0.598439, Average Loss  0.606566, Time  0.221227
2021-09-21 19:39:42.351888 : Epoch  6, Batch     94, Loss  0.602588, Average Loss  0.606569, Time  0.221266
2021-09-21 19:39:43.813051 : Epoch  6, Batch     95, Loss  0.619754, Average Loss  0.606678, Time  0.221693
2021-09-21 19:39:45.278784 : Epoch  6, Batch     96, Loss  0.604361, Average Loss  0.606671, Time  0.221593
2021-09-21 19:39:46.742101 : Epoch  6, Batch     97, Loss  0.617376, Average Loss  0.606684, Time  0.221677
2021-09-21 19:39:48.205880 : Epoch  6, Batch     98, Loss  0.610683, Average Loss  0.606671, Time  0.221418
2021-09-21 19:39:49.667709 : Epoch  6, Batch     99, Loss  0.618546, Average Loss  0.606724, Time  0.221342
2021-09-21 19:39:51.133724 : Epoch  6, Batch    100, Loss  0.607860, Average Loss  0.606751, Time  0.221286
2021-09-21 19:39:52.581128 : Epoch  6, Batch    101, Loss  0.614370, Average Loss  0.606804, Time  0.221063
2021-09-21 19:39:54.037864 : Epoch  6, Batch    102, Loss  0.609288, Average Loss  0.606806, Time  0.221176
2021-09-21 19:39:55.507150 : Epoch  6, Batch    103, Loss  0.602713, Average Loss  0.606810, Time  0.221978
2021-09-21 19:39:56.962878 : Epoch  6, Batch    104, Loss  0.610122, Average Loss  0.606843, Time  0.221222
2021-09-21 19:39:58.416966 : Epoch  6, Batch    105, Loss  0.604050, Average Loss  0.606840, Time  0.221227
2021-09-21 19:39:59.882962 : Epoch  6, Batch    106, Loss  0.602455, Average Loss  0.606836, Time  0.221409
2021-09-21 19:40:01.337986 : Epoch  6, Batch    107, Loss  0.613777, Average Loss  0.606812, Time  0.222012
2021-09-21 19:40:02.793694 : Epoch  6, Batch    108, Loss  0.616556, Average Loss  0.606866, Time  0.220977
2021-09-21 19:40:04.263774 : Epoch  6, Batch    109, Loss  0.599054, Average Loss  0.606833, Time  0.221747
2021-09-21 19:40:05.792863 : Epoch  6, Batch    110, Loss  0.597833, Average Loss  0.606753, Time  0.221198
2021-09-21 19:40:07.246963 : Epoch  6, Batch    111, Loss  0.606858, Average Loss  0.606722, Time  0.221668
2021-09-21 19:40:08.716021 : Epoch  6, Batch    112, Loss  0.608055, Average Loss  0.606694, Time  0.222913
2021-09-21 19:40:10.183879 : Epoch  6, Batch    113, Loss  0.607734, Average Loss  0.606658, Time  0.221701
2021-09-21 19:40:11.644066 : Epoch  6, Batch    114, Loss  0.616543, Average Loss  0.606658, Time  0.223254
2021-09-21 19:40:13.106117 : Epoch  6, Batch    115, Loss  0.614626, Average Loss  0.606695, Time  0.221716
2021-09-21 19:40:14.579555 : Epoch  6, Batch    116, Loss  0.621074, Average Loss  0.606779, Time  0.222127
2021-09-21 19:40:16.053904 : Epoch  6, Batch    117, Loss  0.605057, Average Loss  0.606723, Time  0.221651
2021-09-21 19:40:17.522982 : Epoch  6, Batch    118, Loss  0.617241, Average Loss  0.606751, Time  0.222121
2021-09-21 19:40:18.981017 : Epoch  6, Batch    119, Loss  0.614321, Average Loss  0.606748, Time  0.221894
2021-09-21 19:40:20.449725 : Epoch  6, Batch    120, Loss  0.604216, Average Loss  0.606682, Time  0.221462
2021-09-21 19:40:21.906117 : Epoch  6, Batch    121, Loss  0.606140, Average Loss  0.606707, Time  0.221187
2021-09-21 19:40:23.374679 : Epoch  6, Batch    122, Loss  0.596718, Average Loss  0.606705, Time  0.221810
2021-09-21 19:40:24.835668 : Epoch  6, Batch    123, Loss  0.591694, Average Loss  0.606646, Time  0.221366
2021-09-21 19:40:26.298123 : Epoch  6, Batch    124, Loss  0.593725, Average Loss  0.606566, Time  0.221230
2021-09-21 19:40:27.769929 : Epoch  6, Batch    125, Loss  0.607421, Average Loss  0.606584, Time  0.221411
2021-09-21 19:40:29.232996 : Epoch  6, Batch    126, Loss  0.609341, Average Loss  0.606580, Time  0.221713
2021-09-21 19:40:30.697886 : Epoch  6, Batch    127, Loss  0.614296, Average Loss  0.606603, Time  0.222117
2021-09-21 19:40:32.169100 : Epoch  6, Batch    128, Loss  0.610139, Average Loss  0.606641, Time  0.221345
2021-09-21 19:40:33.630931 : Epoch  6, Batch    129, Loss  0.610126, Average Loss  0.606656, Time  0.221270
2021-09-21 19:40:35.083695 : Epoch  6, Batch    130, Loss  0.602216, Average Loss  0.606646, Time  0.221369
2021-09-21 19:40:36.548760 : Epoch  6, Batch    131, Loss  0.613175, Average Loss  0.606625, Time  0.221462
2021-09-21 19:40:38.014893 : Epoch  6, Batch    132, Loss  0.605895, Average Loss  0.606652, Time  0.221570
2021-09-21 19:40:39.474118 : Epoch  6, Batch    133, Loss  0.602021, Average Loss  0.606592, Time  0.221558
2021-09-21 19:40:40.933107 : Epoch  6, Batch    134, Loss  0.602929, Average Loss  0.606596, Time  0.221206
2021-09-21 19:40:42.397947 : Epoch  6, Batch    135, Loss  0.593238, Average Loss  0.606488, Time  0.221275
2021-09-21 19:40:46.336516 : Epoch  6, Batch    136, Loss  0.602787, Average Loss  0.606476, Time  0.254644
2021-09-21 19:40:47.791933 : Epoch  6, Batch    137, Loss  0.613215, Average Loss  0.606520, Time  0.226156
2021-09-21 19:40:49.244917 : Epoch  6, Batch    138, Loss  0.604813, Average Loss  0.606522, Time  0.221109
2021-09-21 19:40:50.705129 : Epoch  6, Batch    139, Loss  0.604133, Average Loss  0.606554, Time  0.221370
2021-09-21 19:40:52.162213 : Epoch  6, Batch    140, Loss  0.615134, Average Loss  0.606572, Time  0.221948
2021-09-21 19:40:53.617711 : Epoch  6, Batch    141, Loss  0.590533, Average Loss  0.606503, Time  0.221271
2021-09-21 19:40:55.084865 : Epoch  6, Batch    142, Loss  0.597781, Average Loss  0.606425, Time  0.221172
2021-09-21 19:40:56.541738 : Epoch  6, Batch    143, Loss  0.607475, Average Loss  0.606476, Time  0.221676
2021-09-21 19:40:57.996879 : Epoch  6, Batch    144, Loss  0.623076, Average Loss  0.606547, Time  0.221432
2021-09-21 19:40:59.449927 : Epoch  6, Batch    145, Loss  0.614163, Average Loss  0.606585, Time  0.221421
2021-09-21 19:41:00.909720 : Epoch  6, Batch    146, Loss  0.607804, Average Loss  0.606589, Time  0.221278
2021-09-21 19:41:02.360928 : Epoch  6, Batch    147, Loss  0.611578, Average Loss  0.606602, Time  0.221322
2021-09-21 19:41:03.810910 : Epoch  6, Batch    148, Loss  0.604159, Average Loss  0.606575, Time  0.221423
2021-09-21 19:41:05.265895 : Epoch  6, Batch    149, Loss  0.615969, Average Loss  0.606621, Time  0.221201
2021-09-21 19:41:06.714111 : Epoch  6, Batch    150, Loss  0.610081, Average Loss  0.606662, Time  0.221343
2021-09-21 19:41:08.166926 : Epoch  6, Batch    151, Loss  0.614775, Average Loss  0.606661, Time  0.221252
2021-09-21 19:41:09.620473 : Epoch  6, Batch    152, Loss  0.598887, Average Loss  0.606616, Time  0.221302
2021-09-21 19:41:11.067452 : Epoch  6, Batch    153, Loss  0.604385, Average Loss  0.606663, Time  0.221380
2021-09-21 19:41:12.525148 : Epoch  6, Batch    154, Loss  0.613416, Average Loss  0.606622, Time  0.221596
2021-09-21 19:41:13.981568 : Epoch  6, Batch    155, Loss  0.613580, Average Loss  0.606730, Time  0.221508
2021-09-21 19:41:15.439121 : Epoch  6, Batch    156, Loss  0.611848, Average Loss  0.606743, Time  0.221308
2021-09-21 19:41:16.904711 : Epoch  6, Batch    157, Loss  0.596882, Average Loss  0.606681, Time  0.221571
2021-09-21 19:41:18.369603 : Epoch  6, Batch    158, Loss  0.607389, Average Loss  0.606702, Time  0.221540
2021-09-21 19:41:19.827931 : Epoch  6, Batch    159, Loss  0.620125, Average Loss  0.606833, Time  0.221449
2021-09-21 19:41:21.287952 : Epoch  6, Batch    160, Loss  0.608879, Average Loss  0.606876, Time  0.221513
2021-09-21 19:41:22.761018 : Epoch  6, Batch    161, Loss  0.600984, Average Loss  0.606858, Time  0.221192
2021-09-21 19:41:24.214006 : Epoch  6, Batch    162, Loss  0.605438, Average Loss  0.606888, Time  0.221196
2021-09-21 19:41:25.674926 : Epoch  6, Batch    163, Loss  0.609570, Average Loss  0.606855, Time  0.221430
2021-09-21 19:41:27.127022 : Epoch  6, Batch    164, Loss  0.610537, Average Loss  0.606844, Time  0.221011
2021-09-21 19:41:28.585939 : Epoch  6, Batch    165, Loss  0.609587, Average Loss  0.606894, Time  0.221215
2021-09-21 19:42:23.661679 : CheckPoint: Validation Loss  0.00025537, Best Loss  0.00024805
2021-09-21 19:42:25.128000 : Epoch  6, Batch    166, Loss  0.605484, Average Loss  0.606857, Time  0.221971
2021-09-21 19:42:26.591675 : Epoch  6, Batch    167, Loss  0.610309, Average Loss  0.606902, Time  0.221157
2021-09-21 19:42:28.059711 : Epoch  6, Batch    168, Loss  0.614598, Average Loss  0.606888, Time  0.221030
2021-09-21 19:42:29.520714 : Epoch  6, Batch    169, Loss  0.615508, Average Loss  0.606977, Time  0.221396
2021-09-21 19:42:30.976697 : Epoch  6, Batch    170, Loss  0.606764, Average Loss  0.607032, Time  0.221167
2021-09-21 19:42:32.441945 : Epoch  6, Batch    171, Loss  0.614196, Average Loss  0.607016, Time  0.221951
2021-09-21 19:42:33.898878 : Epoch  6, Batch    172, Loss  0.603887, Average Loss  0.606971, Time  0.221237
2021-09-21 19:42:35.360923 : Epoch  6, Batch    173, Loss  0.602703, Average Loss  0.606960, Time  0.221360
2021-09-21 19:42:36.823940 : Epoch  6, Batch    174, Loss  0.601511, Average Loss  0.606953, Time  0.221536
2021-09-21 19:42:38.292748 : Epoch  6, Batch    175, Loss  0.615043, Average Loss  0.606925, Time  0.221537
2021-09-21 19:42:39.752794 : Epoch  6, Batch    176, Loss  0.609893, Average Loss  0.606852, Time  0.221094
2021-09-21 19:42:41.212100 : Epoch  6, Batch    177, Loss  0.605344, Average Loss  0.606840, Time  0.221596
2021-09-21 19:42:42.676717 : Epoch  6, Batch    178, Loss  0.607811, Average Loss  0.606852, Time  0.221161
2021-09-21 19:42:44.131923 : Epoch  6, Batch    179, Loss  0.596580, Average Loss  0.606796, Time  0.221224
2021-09-21 19:42:45.586929 : Epoch  6, Batch    180, Loss  0.613800, Average Loss  0.606848, Time  0.221190
2021-09-21 19:42:47.043245 : Epoch  6, Batch    181, Loss  0.610595, Average Loss  0.606905, Time  0.221291
2021-09-21 19:42:48.499109 : Epoch  6, Batch    182, Loss  0.613441, Average Loss  0.606921, Time  0.221060
2021-09-21 19:42:49.954918 : Epoch  6, Batch    183, Loss  0.616275, Average Loss  0.606965, Time  0.221597
2021-09-21 19:42:51.411308 : Epoch  6, Batch    184, Loss  0.607109, Average Loss  0.606977, Time  0.221318
2021-09-21 19:42:52.862088 : Epoch  6, Batch    185, Loss  0.598207, Average Loss  0.606944, Time  0.221421
2021-09-21 19:42:54.318849 : Epoch  6, Batch    186, Loss  0.603099, Average Loss  0.606895, Time  0.221470
2021-09-21 19:42:55.776023 : Epoch  6, Batch    187, Loss  0.601592, Average Loss  0.606850, Time  0.221379
2021-09-21 19:42:57.229116 : Epoch  6, Batch    188, Loss  0.616660, Average Loss  0.606883, Time  0.221409
2021-09-21 19:42:58.686736 : Epoch  6, Batch    189, Loss  0.605863, Average Loss  0.606935, Time  0.221358
2021-09-21 19:43:00.152882 : Epoch  6, Batch    190, Loss  0.599768, Average Loss  0.606903, Time  0.221244
2021-09-21 19:43:01.631198 : Epoch  6, Batch    191, Loss  0.626171, Average Loss  0.606973, Time  0.222008
2021-09-21 19:43:03.100328 : Epoch  6, Batch    192, Loss  0.599596, Average Loss  0.606910, Time  0.220840
2021-09-21 19:43:04.553119 : Epoch  6, Batch    193, Loss  0.607419, Average Loss  0.606911, Time  0.221234
2021-09-21 19:43:06.021707 : Epoch  6, Batch    194, Loss  0.595621, Average Loss  0.606898, Time  0.222024
2021-09-21 19:43:07.473747 : Epoch  6, Batch    195, Loss  0.602541, Average Loss  0.606861, Time  0.221299
2021-09-21 19:43:08.936101 : Epoch  6, Batch    196, Loss  0.605923, Average Loss  0.606812, Time  0.220971
2021-09-21 19:43:10.396711 : Epoch  6, Batch    197, Loss  0.597710, Average Loss  0.606775, Time  0.221585
2021-09-21 19:43:11.864942 : Epoch  6, Batch    198, Loss  0.601146, Average Loss  0.606787, Time  0.221395
2021-09-21 19:43:13.331117 : Epoch  6, Batch    199, Loss  0.601362, Average Loss  0.606768, Time  0.221606
2021-09-21 19:43:14.789933 : Epoch  6, Batch    200, Loss  0.598796, Average Loss  0.606766, Time  0.221010
2021-09-21 19:43:16.244741 : Epoch  6, Batch    201, Loss  0.597896, Average Loss  0.606757, Time  0.221310
2021-09-21 19:43:17.704882 : Epoch  6, Batch    202, Loss  0.613225, Average Loss  0.606830, Time  0.221700
2021-09-21 19:43:19.160115 : Epoch  6, Batch    203, Loss  0.607558, Average Loss  0.606830, Time  0.221119
2021-09-21 19:43:20.609353 : Epoch  6, Batch    204, Loss  0.613817, Average Loss  0.606830, Time  0.221175
2021-09-21 19:43:22.062967 : Epoch  6, Batch    205, Loss  0.597378, Average Loss  0.606789, Time  0.221740
2021-09-21 19:43:23.534871 : Epoch  6, Batch    206, Loss  0.605982, Average Loss  0.606814, Time  0.221516
2021-09-21 19:43:24.998680 : Epoch  6, Batch    207, Loss  0.598991, Average Loss  0.606707, Time  0.221926
2021-09-21 19:43:26.452735 : Epoch  6, Batch    208, Loss  0.601078, Average Loss  0.606759, Time  0.222382
2021-09-21 19:43:27.913732 : Epoch  6, Batch    209, Loss  0.611032, Average Loss  0.606827, Time  0.222070
2021-09-21 19:43:29.365968 : Epoch  6, Batch    210, Loss  0.614927, Average Loss  0.606871, Time  0.221110
2021-09-21 19:43:30.811896 : Epoch  6, Batch    211, Loss  0.604017, Average Loss  0.606888, Time  0.221297
2021-09-21 19:43:32.262810 : Epoch  6, Batch    212, Loss  0.592858, Average Loss  0.606864, Time  0.221577
2021-09-21 19:43:33.707791 : Epoch  6, Batch    213, Loss  0.596482, Average Loss  0.606843, Time  0.221245
2021-09-21 19:43:35.158127 : Epoch  6, Batch    214, Loss  0.613640, Average Loss  0.606766, Time  0.221588
2021-09-21 19:43:35.271771 : Epoch  6, Batch    215, Loss  0.475554, Average Loss  0.606107, Time  0.086664
2021-09-21 19:43:36.722386 : Epoch  6, Batch    216, Loss  0.599760, Average Loss  0.606078, Time  0.221582
2021-09-21 19:43:38.163961 : Epoch  6, Batch    217, Loss  0.600120, Average Loss  0.606069, Time  0.221781
2021-09-21 19:43:39.613884 : Epoch  6, Batch    218, Loss  0.606162, Average Loss  0.606072, Time  0.221275
2021-09-21 19:43:41.062796 : Epoch  6, Batch    219, Loss  0.613147, Average Loss  0.606111, Time  0.221486
2021-09-21 19:43:42.510804 : Epoch  6, Batch    220, Loss  0.605037, Average Loss  0.606079, Time  0.221254
2021-09-21 19:43:43.955114 : Epoch  6, Batch    221, Loss  0.606942, Average Loss  0.606078, Time  0.221014
2021-09-21 19:43:45.393407 : Epoch  6, Batch    222, Loss  0.622524, Average Loss  0.606115, Time  0.221293
2021-09-21 19:43:46.843111 : Epoch  6, Batch    223, Loss  0.594350, Average Loss  0.606085, Time  0.220988
2021-09-21 19:43:48.292946 : Epoch  6, Batch    224, Loss  0.602205, Average Loss  0.606036, Time  0.221509
2021-09-21 19:43:49.730776 : Epoch  6, Batch    225, Loss  0.607491, Average Loss  0.606105, Time  0.221302
2021-09-21 19:43:51.175072 : Epoch  6, Batch    226, Loss  0.613143, Average Loss  0.606083, Time  0.221089
2021-09-21 19:43:52.618745 : Epoch  6, Batch    227, Loss  0.598752, Average Loss  0.606030, Time  0.221580
2021-09-21 19:43:54.099876 : Epoch  6, Batch    228, Loss  0.612715, Average Loss  0.606050, Time  0.221302
2021-09-21 19:43:55.547836 : Epoch  6, Batch    229, Loss  0.609068, Average Loss  0.606094, Time  0.221535
2021-09-21 19:43:56.998135 : Epoch  6, Batch    230, Loss  0.619300, Average Loss  0.606163, Time  0.221520
2021-09-21 19:43:58.454139 : Epoch  6, Batch    231, Loss  0.620537, Average Loss  0.606236, Time  0.221233
2021-09-21 19:43:59.898899 : Epoch  6, Batch    232, Loss  0.612274, Average Loss  0.606247, Time  0.221087
2021-09-21 19:44:01.352935 : Epoch  6, Batch    233, Loss  0.604494, Average Loss  0.606258, Time  0.221339
2021-09-21 19:44:02.811714 : Epoch  6, Batch    234, Loss  0.609909, Average Loss  0.606268, Time  0.221610
2021-09-21 19:44:04.259052 : Epoch  6, Batch    235, Loss  0.613028, Average Loss  0.606350, Time  0.221601
2021-09-21 19:44:05.708898 : Epoch  6, Batch    236, Loss  0.619083, Average Loss  0.606411, Time  0.221483
2021-09-21 19:44:09.480950 : Epoch  6, Batch    237, Loss  0.598582, Average Loss  0.606404, Time  0.255135
2021-09-21 19:44:10.922947 : Epoch  6, Batch    238, Loss  0.598816, Average Loss  0.606370, Time  0.221303
2021-09-21 19:44:12.364758 : Epoch  6, Batch    239, Loss  0.605823, Average Loss  0.606387, Time  0.221558
2021-09-21 19:44:13.812715 : Epoch  6, Batch    240, Loss  0.609182, Average Loss  0.606407, Time  0.221107
2021-09-21 19:44:15.252145 : Epoch  6, Batch    241, Loss  0.614098, Average Loss  0.606412, Time  0.221016
2021-09-21 19:44:16.695931 : Epoch  6, Batch    242, Loss  0.610143, Average Loss  0.606389, Time  0.221431
2021-09-21 19:44:18.140716 : Epoch  6, Batch    243, Loss  0.603142, Average Loss  0.606370, Time  0.221642
2021-09-21 19:44:19.616141 : Epoch  6, Batch    244, Loss  0.620349, Average Loss  0.606412, Time  0.221717
2021-09-21 19:44:21.056633 : Epoch  6, Batch    245, Loss  0.611109, Average Loss  0.606395, Time  0.221102
2021-09-21 19:44:22.506182 : Epoch  6, Batch    246, Loss  0.601797, Average Loss  0.606362, Time  0.221996
2021-09-21 19:44:23.971938 : Epoch  6, Batch    247, Loss  0.612164, Average Loss  0.606356, Time  0.221431
2021-09-21 19:44:25.421788 : Epoch  6, Batch    248, Loss  0.609232, Average Loss  0.606412, Time  0.222638
2021-09-21 19:44:26.872690 : Epoch  6, Batch    249, Loss  0.614490, Average Loss  0.606430, Time  0.221577
2021-09-21 19:44:28.320125 : Epoch  6, Batch    250, Loss  0.613751, Average Loss  0.606452, Time  0.221362
2021-09-21 19:44:29.771713 : Epoch  6, Batch    251, Loss  0.609001, Average Loss  0.606484, Time  0.221485
2021-09-21 19:44:31.229902 : Epoch  6, Batch    252, Loss  0.613613, Average Loss  0.606530, Time  0.221441
2021-09-21 19:44:32.677122 : Epoch  6, Batch    253, Loss  0.600583, Average Loss  0.606508, Time  0.221237
2021-09-21 19:44:34.120697 : Epoch  6, Batch    254, Loss  0.604528, Average Loss  0.606529, Time  0.221385
2021-09-21 19:44:35.571222 : Epoch  6, Batch    255, Loss  0.596378, Average Loss  0.606416, Time  0.221438
2021-09-21 19:44:37.013033 : Epoch  6, Batch    256, Loss  0.610152, Average Loss  0.606485, Time  0.221161
2021-09-21 19:44:38.461983 : Epoch  6, Batch    257, Loss  0.613869, Average Loss  0.606534, Time  0.221336
2021-09-21 19:44:39.923985 : Epoch  6, Batch    258, Loss  0.604664, Average Loss  0.606492, Time  0.221690
2021-09-21 19:44:41.366202 : Epoch  6, Batch    259, Loss  0.601871, Average Loss  0.606475, Time  0.221073
2021-09-21 19:44:42.815067 : Epoch  6, Batch    260, Loss  0.600527, Average Loss  0.606428, Time  0.221156
2021-09-21 19:44:44.263719 : Epoch  6, Batch    261, Loss  0.608025, Average Loss  0.606534, Time  0.221312
2021-09-21 19:44:45.705780 : Epoch  6, Batch    262, Loss  0.605254, Average Loss  0.606513, Time  0.221379
2021-09-21 19:44:47.158380 : Epoch  6, Batch    263, Loss  0.605679, Average Loss  0.606462, Time  0.221283
2021-09-21 19:44:48.599699 : Epoch  6, Batch    264, Loss  0.613457, Average Loss  0.606563, Time  0.221132
2021-09-21 19:44:50.066967 : Epoch  6, Batch    265, Loss  0.605454, Average Loss  0.606548, Time  0.242949
2021-09-21 19:45:44.868679 : CheckPoint: Validation Loss  0.00024804, Best Loss  0.00024804
2021-09-21 19:45:44.894551 : Best Model Updated
2021-09-21 19:45:47.002147 : Epoch  6, Batch    266, Loss  0.597955, Average Loss  0.606439, Time  0.221837
2021-09-21 19:45:48.467202 : Epoch  6, Batch    267, Loss  0.601522, Average Loss  0.606440, Time  0.221547
2021-09-21 19:45:49.921661 : Epoch  6, Batch    268, Loss  0.609457, Average Loss  0.606428, Time  0.221541
2021-09-21 19:45:51.378015 : Epoch  6, Batch    269, Loss  0.597679, Average Loss  0.606416, Time  0.221683
2021-09-21 19:45:52.838700 : Epoch  6, Batch    270, Loss  0.609101, Average Loss  0.606436, Time  0.221085
2021-09-21 19:45:54.289217 : Epoch  6, Batch    271, Loss  0.607520, Average Loss  0.606432, Time  0.221553
2021-09-21 19:45:55.755928 : Epoch  6, Batch    272, Loss  0.596715, Average Loss  0.606356, Time  0.221058
2021-09-21 19:45:57.210548 : Epoch  6, Batch    273, Loss  0.600006, Average Loss  0.606301, Time  0.221007
2021-09-21 19:45:58.659051 : Epoch  6, Batch    274, Loss  0.610607, Average Loss  0.606370, Time  0.221011
2021-09-21 19:46:00.106976 : Epoch  6, Batch    275, Loss  0.619115, Average Loss  0.606409, Time  0.221322
2021-09-21 19:46:01.567921 : Epoch  6, Batch    276, Loss  0.607502, Average Loss  0.606366, Time  0.220986
2021-09-21 19:46:03.030968 : Epoch  6, Batch    277, Loss  0.615752, Average Loss  0.606378, Time  0.221458
2021-09-21 19:46:04.489732 : Epoch  6, Batch    278, Loss  0.607529, Average Loss  0.606422, Time  0.221275
2021-09-21 19:46:05.952970 : Epoch  6, Batch    279, Loss  0.597331, Average Loss  0.606476, Time  0.221661
2021-09-21 19:46:07.417201 : Epoch  6, Batch    280, Loss  0.604565, Average Loss  0.606492, Time  0.221040
2021-09-21 19:46:08.865033 : Epoch  6, Batch    281, Loss  0.613965, Average Loss  0.606550, Time  0.221761
2021-09-21 19:46:10.317285 : Epoch  6, Batch    282, Loss  0.628842, Average Loss  0.606650, Time  0.221680
2021-09-21 19:46:11.777100 : Epoch  6, Batch    283, Loss  0.615039, Average Loss  0.606651, Time  0.220936
2021-09-21 19:46:13.232928 : Epoch  6, Batch    284, Loss  0.612418, Average Loss  0.606689, Time  0.221014
2021-09-21 19:46:14.686928 : Epoch  6, Batch    285, Loss  0.605718, Average Loss  0.606706, Time  0.221984
2021-09-21 19:46:16.139783 : Epoch  6, Batch    286, Loss  0.601667, Average Loss  0.606673, Time  0.221427
2021-09-21 19:46:17.595973 : Epoch  6, Batch    287, Loss  0.596358, Average Loss  0.606632, Time  0.221164
2021-09-21 19:46:19.054211 : Epoch  6, Batch    288, Loss  0.599478, Average Loss  0.606642, Time  0.221447
2021-09-21 19:46:20.508845 : Epoch  6, Batch    289, Loss  0.598869, Average Loss  0.606620, Time  0.221365
2021-09-21 19:46:21.968262 : Epoch  6, Batch    290, Loss  0.611622, Average Loss  0.606599, Time  0.221476
2021-09-21 19:46:23.426936 : Epoch  6, Batch    291, Loss  0.615292, Average Loss  0.606663, Time  0.221417
2021-09-21 19:46:24.905038 : Epoch  6, Batch    292, Loss  0.610476, Average Loss  0.606741, Time  0.221339
2021-09-21 19:46:26.363069 : Epoch  6, Batch    293, Loss  0.601703, Average Loss  0.606758, Time  0.221675
2021-09-21 19:46:27.820991 : Epoch  6, Batch    294, Loss  0.606319, Average Loss  0.606776, Time  0.221292
2021-09-21 19:46:29.287020 : Epoch  6, Batch    295, Loss  0.608286, Average Loss  0.606719, Time  0.221427
2021-09-21 19:46:30.760028 : Epoch  6, Batch    296, Loss  0.622653, Average Loss  0.606810, Time  0.222135
2021-09-21 19:46:32.214695 : Epoch  6, Batch    297, Loss  0.602551, Average Loss  0.606736, Time  0.221159
2021-09-21 19:46:33.677030 : Epoch  6, Batch    298, Loss  0.604880, Average Loss  0.606707, Time  0.221604
2021-09-21 19:46:35.143045 : Epoch  6, Batch    299, Loss  0.608276, Average Loss  0.606656, Time  0.221446
2021-09-21 19:46:36.602674 : Epoch  6, Batch    300, Loss  0.601032, Average Loss  0.606622, Time  0.221451
2021-09-21 19:46:38.063924 : Epoch  6, Batch    301, Loss  0.608769, Average Loss  0.606594, Time  0.221538
2021-09-21 19:46:39.526133 : Epoch  6, Batch    302, Loss  0.596079, Average Loss  0.606528, Time  0.221707
2021-09-21 19:46:40.984714 : Epoch  6, Batch    303, Loss  0.599213, Average Loss  0.606510, Time  0.221536
2021-09-21 19:46:42.440054 : Epoch  6, Batch    304, Loss  0.609804, Average Loss  0.606509, Time  0.221048
2021-09-21 19:46:43.908211 : Epoch  6, Batch    305, Loss  0.599104, Average Loss  0.606484, Time  0.221698
2021-09-21 19:46:45.369129 : Epoch  6, Batch    306, Loss  0.602880, Average Loss  0.606486, Time  0.221189
2021-09-21 19:46:46.836242 : Epoch  6, Batch    307, Loss  0.606460, Average Loss  0.606449, Time  0.221624
2021-09-21 19:46:48.297553 : Epoch  6, Batch    308, Loss  0.595527, Average Loss  0.606344, Time  0.221267
2021-09-21 19:46:49.760594 : Epoch  6, Batch    309, Loss  0.627011, Average Loss  0.606484, Time  0.221340
2021-09-21 19:46:51.228709 : Epoch  6, Batch    310, Loss  0.608476, Average Loss  0.606537, Time  0.220988
2021-09-21 19:46:52.690214 : Epoch  6, Batch    311, Loss  0.598393, Average Loss  0.606495, Time  0.220970
2021-09-21 19:46:54.150005 : Epoch  6, Batch    312, Loss  0.601459, Average Loss  0.606462, Time  0.220945
2021-09-21 19:46:55.615717 : Epoch  6, Batch    313, Loss  0.605397, Average Loss  0.606450, Time  0.222956
2021-09-21 19:46:57.079411 : Epoch  6, Batch    314, Loss  0.609201, Average Loss  0.606413, Time  0.221500
2021-09-21 19:46:58.538093 : Epoch  6, Batch    315, Loss  0.601833, Average Loss  0.606350, Time  0.221423
2021-09-21 19:47:00.004996 : Epoch  6, Batch    316, Loss  0.609302, Average Loss  0.606291, Time  0.221165
2021-09-21 19:47:01.467796 : Epoch  6, Batch    317, Loss  0.604572, Average Loss  0.606288, Time  0.221525
2021-09-21 19:47:02.934215 : Epoch  6, Batch    318, Loss  0.617477, Average Loss  0.606289, Time  0.221149
2021-09-21 19:47:04.404259 : Epoch  6, Batch    319, Loss  0.608851, Average Loss  0.606262, Time  0.221855
2021-09-21 19:47:05.873985 : Epoch  6, Batch    320, Loss  0.620532, Average Loss  0.606344, Time  0.221085
2021-09-21 19:47:07.381967 : Epoch  6, Batch    321, Loss  0.610966, Average Loss  0.606368, Time  0.222766
2021-09-21 19:47:08.844997 : Epoch  6, Batch    322, Loss  0.596244, Average Loss  0.606365, Time  0.221885
2021-09-21 19:47:10.305870 : Epoch  6, Batch    323, Loss  0.594518, Average Loss  0.606380, Time  0.221228
2021-09-21 19:47:11.775707 : Epoch  6, Batch    324, Loss  0.604613, Average Loss  0.606434, Time  0.221152
2021-09-21 19:47:13.241129 : Epoch  6, Batch    325, Loss  0.595581, Average Loss  0.606375, Time  0.221402
2021-09-21 19:47:14.692984 : Epoch  6, Batch    326, Loss  0.602455, Average Loss  0.606340, Time  0.221323
2021-09-21 19:47:16.152597 : Epoch  6, Batch    327, Loss  0.604059, Average Loss  0.606289, Time  0.221213
2021-09-21 19:47:17.612910 : Epoch  6, Batch    328, Loss  0.599296, Average Loss  0.606235, Time  0.221257
2021-09-21 19:47:19.076845 : Epoch  6, Batch    329, Loss  0.609158, Average Loss  0.606230, Time  0.221228
2021-09-21 19:47:20.533976 : Epoch  6, Batch    330, Loss  0.605263, Average Loss  0.606245, Time  0.221115
2021-09-21 19:47:21.993825 : Epoch  6, Batch    331, Loss  0.609642, Average Loss  0.606228, Time  0.221705
2021-09-21 19:47:23.464995 : Epoch  6, Batch    332, Loss  0.617673, Average Loss  0.606287, Time  0.221966
2021-09-21 19:47:24.926100 : Epoch  6, Batch    333, Loss  0.596411, Average Loss  0.606259, Time  0.221375
2021-09-21 19:47:26.396918 : Epoch  6, Batch    334, Loss  0.597947, Average Loss  0.606234, Time  0.221198
2021-09-21 19:47:27.859929 : Epoch  6, Batch    335, Loss  0.605339, Average Loss  0.606294, Time  0.221055
2021-09-21 19:47:31.631705 : Epoch  6, Batch    336, Loss  0.606471, Average Loss  0.606313, Time  0.255998
2021-09-21 19:47:33.107300 : Epoch  6, Batch    337, Loss  0.601107, Average Loss  0.606252, Time  0.229817
2021-09-21 19:47:34.574749 : Epoch  6, Batch    338, Loss  0.615866, Average Loss  0.606307, Time  0.221609
2021-09-21 19:47:36.049008 : Epoch  6, Batch    339, Loss  0.603883, Average Loss  0.606306, Time  0.221659
2021-09-21 19:47:37.511017 : Epoch  6, Batch    340, Loss  0.624363, Average Loss  0.606352, Time  0.224485
2021-09-21 19:47:38.984204 : Epoch  6, Batch    341, Loss  0.612856, Average Loss  0.606464, Time  0.221625
2021-09-21 19:47:40.450721 : Epoch  6, Batch    342, Loss  0.606595, Average Loss  0.606508, Time  0.221426
2021-09-21 19:47:41.918872 : Epoch  6, Batch    343, Loss  0.596231, Average Loss  0.606452, Time  0.221341
2021-09-21 19:47:43.410704 : Epoch  6, Batch    344, Loss  0.608315, Average Loss  0.606378, Time  0.221155
2021-09-21 19:47:44.894467 : Epoch  6, Batch    345, Loss  0.601292, Average Loss  0.606313, Time  0.221287
2021-09-21 19:47:46.359307 : Epoch  6, Batch    346, Loss  0.597674, Average Loss  0.606263, Time  0.222320
2021-09-21 19:47:47.822720 : Epoch  6, Batch    347, Loss  0.613777, Average Loss  0.606274, Time  0.221404
2021-09-21 19:47:49.286938 : Epoch  6, Batch    348, Loss  0.601802, Average Loss  0.606262, Time  0.221878
2021-09-21 19:47:50.749963 : Epoch  6, Batch    349, Loss  0.599743, Average Loss  0.606181, Time  0.221241
2021-09-21 19:47:52.215721 : Epoch  6, Batch    350, Loss  0.595875, Average Loss  0.606110, Time  0.221090
2021-09-21 19:47:53.685931 : Epoch  6, Batch    351, Loss  0.614170, Average Loss  0.606107, Time  0.221354
2021-09-21 19:47:55.153208 : Epoch  6, Batch    352, Loss  0.599090, Average Loss  0.606108, Time  0.221245
2021-09-21 19:47:56.624202 : Epoch  6, Batch    353, Loss  0.605758, Average Loss  0.606115, Time  0.221191
2021-09-21 19:47:58.095971 : Epoch  6, Batch    354, Loss  0.602824, Average Loss  0.606062, Time  0.221135
2021-09-21 19:47:59.573965 : Epoch  6, Batch    355, Loss  0.607857, Average Loss  0.606033, Time  0.222298
2021-09-21 19:48:01.044738 : Epoch  6, Batch    356, Loss  0.599576, Average Loss  0.605972, Time  0.221170
2021-09-21 19:48:02.512047 : Epoch  6, Batch    357, Loss  0.596508, Average Loss  0.605970, Time  0.221269
2021-09-21 19:48:03.983845 : Epoch  6, Batch    358, Loss  0.590502, Average Loss  0.605885, Time  0.222399
2021-09-21 19:48:05.448046 : Epoch  6, Batch    359, Loss  0.600967, Average Loss  0.605790, Time  0.221357
2021-09-21 19:48:06.908956 : Epoch  6, Batch    360, Loss  0.597513, Average Loss  0.605733, Time  0.221512
2021-09-21 19:48:08.374722 : Epoch  6, Batch    361, Loss  0.612869, Average Loss  0.605792, Time  0.221523
2021-09-21 19:48:09.843732 : Epoch  6, Batch    362, Loss  0.606854, Average Loss  0.605799, Time  0.221291
2021-09-21 19:48:11.309833 : Epoch  6, Batch    363, Loss  0.593363, Average Loss  0.605718, Time  0.221530
2021-09-21 19:48:12.797250 : Epoch  6, Batch    364, Loss  0.612420, Average Loss  0.605728, Time  0.243880
2021-09-21 19:48:14.262195 : Epoch  6, Batch    365, Loss  0.608833, Average Loss  0.605724, Time  0.221274
2021-09-21 19:49:09.305677 : CheckPoint: Validation Loss  0.00025309, Best Loss  0.00024804
2021-09-21 19:49:10.782472 : Epoch  6, Batch    366, Loss  0.600263, Average Loss  0.605698, Time  0.222122
2021-09-21 19:49:12.254989 : Epoch  6, Batch    367, Loss  0.597224, Average Loss  0.605632, Time  0.221293
2021-09-21 19:49:13.732955 : Epoch  6, Batch    368, Loss  0.607464, Average Loss  0.605597, Time  0.221092
2021-09-21 19:49:15.210062 : Epoch  6, Batch    369, Loss  0.618307, Average Loss  0.605611, Time  0.221247
2021-09-21 19:49:16.685978 : Epoch  6, Batch    370, Loss  0.605261, Average Loss  0.605603, Time  0.221459
2021-09-21 19:49:18.159941 : Epoch  6, Batch    371, Loss  0.595751, Average Loss  0.605511, Time  0.221592
2021-09-21 19:49:19.634860 : Epoch  6, Batch    372, Loss  0.608464, Average Loss  0.605534, Time  0.221433
2021-09-21 19:49:21.105218 : Epoch  6, Batch    373, Loss  0.612558, Average Loss  0.605583, Time  0.221174
2021-09-21 19:49:22.583695 : Epoch  6, Batch    374, Loss  0.607822, Average Loss  0.605615, Time  0.221694
2021-09-21 19:49:24.050237 : Epoch  6, Batch    375, Loss  0.602258, Average Loss  0.605551, Time  0.221507
2021-09-21 19:49:25.519125 : Epoch  6, Batch    376, Loss  0.603519, Average Loss  0.605519, Time  0.220976
2021-09-21 19:49:26.994819 : Epoch  6, Batch    377, Loss  0.600701, Average Loss  0.605496, Time  0.221464
2021-09-21 19:49:28.466010 : Epoch  6, Batch    378, Loss  0.603293, Average Loss  0.605473, Time  0.221357
2021-09-21 19:49:29.937216 : Epoch  6, Batch    379, Loss  0.594022, Average Loss  0.605460, Time  0.221112
2021-09-21 19:49:31.407922 : Epoch  6, Batch    380, Loss  0.608286, Average Loss  0.605433, Time  0.221258
2021-09-21 19:49:32.876220 : Epoch  6, Batch    381, Loss  0.597887, Average Loss  0.605369, Time  0.221352
2021-09-21 19:49:34.341715 : Epoch  6, Batch    382, Loss  0.619974, Average Loss  0.605402, Time  0.221065
2021-09-21 19:49:35.849930 : Epoch  6, Batch    383, Loss  0.601901, Average Loss  0.605330, Time  0.222053
2021-09-21 19:49:37.352923 : Epoch  6, Batch    384, Loss  0.602213, Average Loss  0.605306, Time  0.221208
2021-09-21 19:49:38.819233 : Epoch  6, Batch    385, Loss  0.607326, Average Loss  0.605351, Time  0.221309
2021-09-21 19:49:40.285206 : Epoch  6, Batch    386, Loss  0.602375, Average Loss  0.605348, Time  0.221797
2021-09-21 19:49:41.750713 : Epoch  6, Batch    387, Loss  0.603763, Average Loss  0.605358, Time  0.221102
2021-09-21 19:49:43.221162 : Epoch  6, Batch    388, Loss  0.609689, Average Loss  0.605324, Time  0.221266
2021-09-21 19:49:44.686110 : Epoch  6, Batch    389, Loss  0.608381, Average Loss  0.605336, Time  0.221274
2021-09-21 19:49:46.156703 : Epoch  6, Batch    390, Loss  0.598930, Average Loss  0.605332, Time  0.221242
2021-09-21 19:49:47.629252 : Epoch  6, Batch    391, Loss  0.615169, Average Loss  0.605277, Time  0.221975
2021-09-21 19:49:49.092089 : Epoch  6, Batch    392, Loss  0.606118, Average Loss  0.605310, Time  0.221234
2021-09-21 19:49:50.558960 : Epoch  6, Batch    393, Loss  0.597821, Average Loss  0.605262, Time  0.221228
2021-09-21 19:49:52.026134 : Epoch  6, Batch    394, Loss  0.610956, Average Loss  0.605338, Time  0.221658
2021-09-21 19:49:53.485108 : Epoch  6, Batch    395, Loss  0.602956, Average Loss  0.605340, Time  0.221157
2021-09-21 19:49:54.954127 : Epoch  6, Batch    396, Loss  0.599481, Average Loss  0.605308, Time  0.221491
2021-09-21 19:49:56.434690 : Epoch  6, Batch    397, Loss  0.603362, Average Loss  0.605336, Time  0.221248
2021-09-21 19:49:57.911115 : Epoch  6, Batch    398, Loss  0.604290, Average Loss  0.605352, Time  0.221152
2021-09-21 19:49:59.380953 : Epoch  6, Batch    399, Loss  0.600821, Average Loss  0.605349, Time  0.221432
2021-09-21 19:50:00.860926 : Epoch  6, Batch    400, Loss  0.612487, Average Loss  0.605418, Time  0.221351
2021-09-21 19:50:02.328926 : Epoch  6, Batch    401, Loss  0.600833, Average Loss  0.605432, Time  0.221163
2021-09-21 19:50:03.799937 : Epoch  6, Batch    402, Loss  0.607560, Average Loss  0.605404, Time  0.221288
2021-09-21 19:50:05.269114 : Epoch  6, Batch    403, Loss  0.600757, Average Loss  0.605370, Time  0.221275
2021-09-21 19:50:06.746962 : Epoch  6, Batch    404, Loss  0.599262, Average Loss  0.605297, Time  0.222574
2021-09-21 19:50:08.217919 : Epoch  6, Batch    405, Loss  0.612299, Average Loss  0.605372, Time  0.222281
2021-09-21 19:50:09.682745 : Epoch  6, Batch    406, Loss  0.597301, Average Loss  0.605329, Time  0.221159
2021-09-21 19:50:11.160141 : Epoch  6, Batch    407, Loss  0.601116, Average Loss  0.605339, Time  0.222320
2021-09-21 19:50:12.627806 : Epoch  6, Batch    408, Loss  0.597747, Average Loss  0.605323, Time  0.221107
2021-09-21 19:50:14.101840 : Epoch  6, Batch    409, Loss  0.593485, Average Loss  0.605235, Time  0.221152
2021-09-21 19:50:15.574939 : Epoch  6, Batch    410, Loss  0.609459, Average Loss  0.605207, Time  0.221412
2021-09-21 19:50:17.055103 : Epoch  6, Batch    411, Loss  0.612745, Average Loss  0.605251, Time  0.221422
2021-09-21 19:50:18.531733 : Epoch  6, Batch    412, Loss  0.606171, Average Loss  0.605318, Time  0.221403
2021-09-21 19:50:20.003195 : Epoch  6, Batch    413, Loss  0.610868, Average Loss  0.605390, Time  0.221618
2021-09-21 19:50:21.473912 : Epoch  6, Batch    414, Loss  0.592112, Average Loss  0.605282, Time  0.222079
2021-09-21 19:50:22.937365 : Epoch  6, Batch    415, Loss  0.606578, Average Loss  0.605937, Time  0.221412
2021-09-21 19:50:24.405892 : Epoch  6, Batch    416, Loss  0.597220, Average Loss  0.605924, Time  0.221149
2021-09-21 19:50:25.871290 : Epoch  6, Batch    417, Loss  0.616878, Average Loss  0.606008, Time  0.221822
2021-09-21 19:50:27.349938 : Epoch  6, Batch    418, Loss  0.613160, Average Loss  0.606043, Time  0.221823
2021-09-21 19:50:28.817122 : Epoch  6, Batch    419, Loss  0.617318, Average Loss  0.606064, Time  0.221147
2021-09-21 19:50:30.288005 : Epoch  6, Batch    420, Loss  0.607624, Average Loss  0.606077, Time  0.221416
2021-09-21 19:50:31.752887 : Epoch  6, Batch    421, Loss  0.605849, Average Loss  0.606071, Time  0.221467
2021-09-21 19:50:33.225922 : Epoch  6, Batch    422, Loss  0.596882, Average Loss  0.605943, Time  0.221141
2021-09-21 19:50:34.711913 : Epoch  6, Batch    423, Loss  0.593148, Average Loss  0.605937, Time  0.221461
2021-09-21 19:50:36.178335 : Epoch  6, Batch    424, Loss  0.602497, Average Loss  0.605939, Time  0.221149
2021-09-21 19:50:37.644974 : Epoch  6, Batch    425, Loss  0.598237, Average Loss  0.605892, Time  0.221334
2021-09-21 19:50:39.116892 : Epoch  6, Batch    426, Loss  0.605855, Average Loss  0.605856, Time  0.221329
2021-09-21 19:50:40.590912 : Epoch  6, Batch    427, Loss  0.601012, Average Loss  0.605867, Time  0.221250
2021-09-21 19:50:42.066176 : Epoch  6, Batch    428, Loss  0.599522, Average Loss  0.605801, Time  0.221463
2021-09-21 19:50:43.527111 : Epoch  6, Batch    429, Loss  0.597829, Average Loss  0.605745, Time  0.222134
2021-09-21 19:50:44.994714 : Epoch  6, Batch    430, Loss  0.600165, Average Loss  0.605649, Time  0.221143
2021-09-21 19:50:46.460180 : Epoch  6, Batch    431, Loss  0.605501, Average Loss  0.605574, Time  0.221702
2021-09-21 19:50:47.931780 : Epoch  6, Batch    432, Loss  0.602684, Average Loss  0.605526, Time  0.221138
2021-09-21 19:50:49.402009 : Epoch  6, Batch    433, Loss  0.604585, Average Loss  0.605527, Time  0.221437
2021-09-21 19:50:50.877780 : Epoch  6, Batch    434, Loss  0.598460, Average Loss  0.605470, Time  0.221387
2021-09-21 19:50:52.349916 : Epoch  6, Batch    435, Loss  0.626855, Average Loss  0.605539, Time  0.221044
2021-09-21 19:50:56.117974 : Epoch  6, Batch    436, Loss  0.597734, Average Loss  0.605432, Time  0.256130
2021-09-21 19:50:57.599943 : Epoch  6, Batch    437, Loss  0.597203, Average Loss  0.605425, Time  0.241011
2021-09-21 19:50:59.068534 : Epoch  6, Batch    438, Loss  0.598511, Average Loss  0.605424, Time  0.228364
2021-09-21 19:51:00.529927 : Epoch  6, Batch    439, Loss  0.593833, Average Loss  0.605364, Time  0.221538
2021-09-21 19:51:01.995463 : Epoch  6, Batch    440, Loss  0.617946, Average Loss  0.605407, Time  0.221442
2021-09-21 19:51:03.457121 : Epoch  6, Batch    441, Loss  0.609106, Average Loss  0.605382, Time  0.221685
2021-09-21 19:51:04.917122 : Epoch  6, Batch    442, Loss  0.591673, Average Loss  0.605290, Time  0.220917
2021-09-21 19:51:06.379104 : Epoch  6, Batch    443, Loss  0.609158, Average Loss  0.605320, Time  0.221049
2021-09-21 19:51:07.840889 : Epoch  6, Batch    444, Loss  0.602475, Average Loss  0.605231, Time  0.221137
2021-09-21 19:51:09.299910 : Epoch  6, Batch    445, Loss  0.606658, Average Loss  0.605209, Time  0.221319
2021-09-21 19:51:10.752197 : Epoch  6, Batch    446, Loss  0.611765, Average Loss  0.605258, Time  0.221125
2021-09-21 19:51:12.214096 : Epoch  6, Batch    447, Loss  0.619302, Average Loss  0.605294, Time  0.221440
2021-09-21 19:51:13.678896 : Epoch  6, Batch    448, Loss  0.609511, Average Loss  0.605295, Time  0.221101
2021-09-21 19:51:15.136261 : Epoch  6, Batch    449, Loss  0.604559, Average Loss  0.605246, Time  0.221092
2021-09-21 19:51:16.593684 : Epoch  6, Batch    450, Loss  0.607188, Average Loss  0.605213, Time  0.221451
2021-09-21 19:51:18.081797 : Epoch  6, Batch    451, Loss  0.603202, Average Loss  0.605184, Time  0.221856
2021-09-21 19:51:19.551942 : Epoch  6, Batch    452, Loss  0.608141, Average Loss  0.605157, Time  0.221756
2021-09-21 19:51:21.016685 : Epoch  6, Batch    453, Loss  0.605492, Average Loss  0.605181, Time  0.221305
2021-09-21 19:51:22.472934 : Epoch  6, Batch    454, Loss  0.602480, Average Loss  0.605171, Time  0.220801
2021-09-21 19:51:23.930113 : Epoch  6, Batch    455, Loss  0.602199, Average Loss  0.605200, Time  0.221236
2021-09-21 19:51:25.388958 : Epoch  6, Batch    456, Loss  0.590629, Average Loss  0.605102, Time  0.220822
2021-09-21 19:51:26.882935 : Epoch  6, Batch    457, Loss  0.602527, Average Loss  0.605046, Time  0.221395
2021-09-21 19:51:28.348928 : Epoch  6, Batch    458, Loss  0.591857, Average Loss  0.604982, Time  0.221107
2021-09-21 19:51:29.819115 : Epoch  6, Batch    459, Loss  0.601696, Average Loss  0.604981, Time  0.221575
2021-09-21 19:51:31.281890 : Epoch  6, Batch    460, Loss  0.610118, Average Loss  0.605029, Time  0.221359
2021-09-21 19:51:32.748112 : Epoch  6, Batch    461, Loss  0.599727, Average Loss  0.604987, Time  0.222101
2021-09-21 19:51:34.208975 : Epoch  6, Batch    462, Loss  0.601572, Average Loss  0.604969, Time  0.221267
2021-09-21 19:51:35.675110 : Epoch  6, Batch    463, Loss  0.604912, Average Loss  0.604965, Time  0.221292
2021-09-21 19:51:37.142949 : Epoch  6, Batch    464, Loss  0.594519, Average Loss  0.604870, Time  0.221888
2021-09-21 19:51:38.610952 : Epoch  6, Batch    465, Loss  0.608300, Average Loss  0.604885, Time  0.221858
2021-09-21 19:52:33.740392 : CheckPoint: Validation Loss  0.00025056, Best Loss  0.00024804
2021-09-21 19:52:35.215946 : Epoch  6, Batch    466, Loss  0.597230, Average Loss  0.604881, Time  0.221773
2021-09-21 19:52:36.683079 : Epoch  6, Batch    467, Loss  0.602106, Average Loss  0.604884, Time  0.221139
2021-09-21 19:52:38.150937 : Epoch  6, Batch    468, Loss  0.614572, Average Loss  0.604909, Time  0.221194
2021-09-21 19:52:39.619171 : Epoch  6, Batch    469, Loss  0.609577, Average Loss  0.604969, Time  0.222064
2021-09-21 19:52:41.121847 : Epoch  6, Batch    470, Loss  0.603946, Average Loss  0.604943, Time  0.221242
2021-09-21 19:52:42.585924 : Epoch  6, Batch    471, Loss  0.610042, Average Loss  0.604956, Time  0.221533
2021-09-21 19:52:44.052916 : Epoch  6, Batch    472, Loss  0.601693, Average Loss  0.604981, Time  0.221192
2021-09-21 19:52:45.517059 : Epoch  6, Batch    473, Loss  0.605877, Average Loss  0.605010, Time  0.221333
2021-09-21 19:52:46.982092 : Epoch  6, Batch    474, Loss  0.609404, Average Loss  0.605004, Time  0.221094
2021-09-21 19:52:48.444099 : Epoch  6, Batch    475, Loss  0.606442, Average Loss  0.604941, Time  0.221189
2021-09-21 19:52:49.910735 : Epoch  6, Batch    476, Loss  0.608110, Average Loss  0.604944, Time  0.221129
2021-09-21 19:52:51.376114 : Epoch  6, Batch    477, Loss  0.598580, Average Loss  0.604858, Time  0.221559
2021-09-21 19:52:52.840099 : Epoch  6, Batch    478, Loss  0.608013, Average Loss  0.604860, Time  0.221142
2021-09-21 19:52:54.299487 : Epoch  6, Batch    479, Loss  0.613086, Average Loss  0.604939, Time  0.221022
2021-09-21 19:52:55.770863 : Epoch  6, Batch    480, Loss  0.600583, Average Loss  0.604919, Time  0.221596
2021-09-21 19:52:57.243887 : Epoch  6, Batch    481, Loss  0.599565, Average Loss  0.604847, Time  0.221608
2021-09-21 19:52:58.738708 : Epoch  6, Batch    482, Loss  0.602248, Average Loss  0.604714, Time  0.221525
2021-09-21 19:53:00.206692 : Epoch  6, Batch    483, Loss  0.601160, Average Loss  0.604645, Time  0.221910
2021-09-21 19:53:01.673017 : Epoch  6, Batch    484, Loss  0.617828, Average Loss  0.604672, Time  0.221736
2021-09-21 19:53:03.170169 : Epoch  6, Batch    485, Loss  0.602015, Average Loss  0.604653, Time  0.221454
2021-09-21 19:53:04.634166 : Epoch  6, Batch    486, Loss  0.596504, Average Loss  0.604627, Time  0.221168
2021-09-21 19:53:06.102081 : Epoch  6, Batch    487, Loss  0.609352, Average Loss  0.604692, Time  0.221719
2021-09-21 19:53:07.562980 : Epoch  6, Batch    488, Loss  0.610266, Average Loss  0.604746, Time  0.220913
2021-09-21 19:53:09.033162 : Epoch  6, Batch    489, Loss  0.592328, Average Loss  0.604714, Time  0.221319
2021-09-21 19:53:10.497958 : Epoch  6, Batch    490, Loss  0.607174, Average Loss  0.604691, Time  0.221057
2021-09-21 19:53:11.955173 : Epoch  6, Batch    491, Loss  0.608377, Average Loss  0.604657, Time  0.221366
2021-09-21 19:53:13.420710 : Epoch  6, Batch    492, Loss  0.607665, Average Loss  0.604643, Time  0.221153
2021-09-21 19:53:14.886976 : Epoch  6, Batch    493, Loss  0.607134, Average Loss  0.604670, Time  0.221302
2021-09-21 19:53:16.352167 : Epoch  6, Batch    494, Loss  0.618182, Average Loss  0.604729, Time  0.221213
2021-09-21 19:53:17.819944 : Epoch  6, Batch    495, Loss  0.600304, Average Loss  0.604689, Time  0.221770
2021-09-21 19:53:19.287690 : Epoch  6, Batch    496, Loss  0.599566, Average Loss  0.604574, Time  0.220882
2021-09-21 19:53:20.746218 : Epoch  6, Batch    497, Loss  0.605027, Average Loss  0.604586, Time  0.222620
2021-09-21 19:53:22.211939 : Epoch  6, Batch    498, Loss  0.593581, Average Loss  0.604530, Time  0.221599
2021-09-21 19:53:23.666194 : Epoch  6, Batch    499, Loss  0.604813, Average Loss  0.604512, Time  0.221172
2021-09-21 19:53:25.126773 : Epoch  6, Batch    500, Loss  0.608004, Average Loss  0.604547, Time  0.221741
2021-09-21 19:53:26.586910 : Epoch  6, Batch    501, Loss  0.600219, Average Loss  0.604505, Time  0.221218
2021-09-21 19:53:28.055708 : Epoch  6, Batch    502, Loss  0.604586, Average Loss  0.604547, Time  0.220972
2021-09-21 19:53:29.507239 : Epoch  6, Batch    503, Loss  0.613632, Average Loss  0.604619, Time  0.221377
2021-09-21 19:53:30.958986 : Epoch  6, Batch    504, Loss  0.604366, Average Loss  0.604592, Time  0.221277
2021-09-21 19:53:32.417704 : Epoch  6, Batch    505, Loss  0.613381, Average Loss  0.604663, Time  0.221696
2021-09-21 19:53:33.870206 : Epoch  6, Batch    506, Loss  0.615023, Average Loss  0.604724, Time  0.221538
2021-09-21 19:53:35.325634 : Epoch  6, Batch    507, Loss  0.610457, Average Loss  0.604744, Time  0.220992
2021-09-21 19:53:36.777303 : Epoch  6, Batch    508, Loss  0.610082, Average Loss  0.604817, Time  0.221235
2021-09-21 19:53:38.236662 : Epoch  6, Batch    509, Loss  0.611697, Average Loss  0.604740, Time  0.221673
2021-09-21 19:53:39.697868 : Epoch  6, Batch    510, Loss  0.610820, Average Loss  0.604752, Time  0.221650
2021-09-21 19:53:41.149990 : Epoch  6, Batch    511, Loss  0.600160, Average Loss  0.604761, Time  0.221413
2021-09-21 19:53:42.603049 : Epoch  6, Batch    512, Loss  0.604780, Average Loss  0.604777, Time  0.221972
2021-09-21 19:53:44.067204 : Epoch  6, Batch    513, Loss  0.618814, Average Loss  0.604845, Time  0.221639
2021-09-21 19:53:45.529869 : Epoch  6, Batch    514, Loss  0.601349, Average Loss  0.604805, Time  0.221056
2021-09-21 19:53:47.023679 : Epoch  6, Batch    515, Loss  0.605689, Average Loss  0.604825, Time  0.221506
2021-09-21 19:53:48.484203 : Epoch  6, Batch    516, Loss  0.598947, Average Loss  0.604773, Time  0.221217
2021-09-21 19:53:49.950928 : Epoch  6, Batch    517, Loss  0.607231, Average Loss  0.604786, Time  0.221674
2021-09-21 19:53:51.442088 : Epoch  6, Batch    518, Loss  0.607118, Average Loss  0.604734, Time  0.222648
2021-09-21 19:53:52.925962 : Epoch  6, Batch    519, Loss  0.603219, Average Loss  0.604706, Time  0.222224
2021-09-21 19:53:54.400085 : Epoch  6, Batch    520, Loss  0.612512, Average Loss  0.604666, Time  0.222264
2021-09-21 19:53:55.863188 : Epoch  6, Batch    521, Loss  0.609875, Average Loss  0.604661, Time  0.221499
2021-09-21 19:53:57.337076 : Epoch  6, Batch    522, Loss  0.594891, Average Loss  0.604654, Time  0.221671
2021-09-21 19:53:58.814749 : Epoch  6, Batch    523, Loss  0.616897, Average Loss  0.604766, Time  0.221870
2021-09-21 19:54:00.290997 : Epoch  6, Batch    524, Loss  0.598057, Average Loss  0.604733, Time  0.222169
2021-09-21 19:54:01.764017 : Epoch  6, Batch    525, Loss  0.611280, Average Loss  0.604811, Time  0.222793
2021-09-21 19:54:03.240708 : Epoch  6, Batch    526, Loss  0.604454, Average Loss  0.604821, Time  0.221505
2021-09-21 19:54:04.707186 : Epoch  6, Batch    527, Loss  0.602451, Average Loss  0.604813, Time  0.221467
2021-09-21 19:54:06.177233 : Epoch  6, Batch    528, Loss  0.608009, Average Loss  0.604857, Time  0.221672
2021-09-21 19:54:07.651996 : Epoch  6, Batch    529, Loss  0.603230, Average Loss  0.604827, Time  0.221432
2021-09-21 19:54:09.127771 : Epoch  6, Batch    530, Loss  0.584923, Average Loss  0.604726, Time  0.221452
2021-09-21 19:54:10.606217 : Epoch  6, Batch    531, Loss  0.604079, Average Loss  0.604698, Time  0.223248
2021-09-21 19:54:12.078990 : Epoch  6, Batch    532, Loss  0.598949, Average Loss  0.604604, Time  0.221709
2021-09-21 19:54:13.548222 : Epoch  6, Batch    533, Loss  0.600654, Average Loss  0.604625, Time  0.221729
2021-09-21 19:54:15.016835 : Epoch  6, Batch    534, Loss  0.615504, Average Loss  0.604713, Time  0.221132
2021-09-21 19:54:16.478201 : Epoch  6, Batch    535, Loss  0.613084, Average Loss  0.604752, Time  0.221470
2021-09-21 19:54:20.299795 : Epoch  6, Batch    536, Loss  0.614693, Average Loss  0.604793, Time  0.259777
2021-09-21 19:54:21.805194 : Epoch  6, Batch    537, Loss  0.614020, Average Loss  0.604858, Time  0.241595
2021-09-21 19:54:23.273773 : Epoch  6, Batch    538, Loss  0.612928, Average Loss  0.604843, Time  0.227859
2021-09-21 19:54:24.748935 : Epoch  6, Batch    539, Loss  0.594342, Average Loss  0.604795, Time  0.221732
2021-09-21 19:54:26.216029 : Epoch  6, Batch    540, Loss  0.611598, Average Loss  0.604731, Time  0.221417
2021-09-21 19:54:27.680066 : Epoch  6, Batch    541, Loss  0.608256, Average Loss  0.604708, Time  0.221622
2021-09-21 19:54:29.148212 : Epoch  6, Batch    542, Loss  0.599305, Average Loss  0.604672, Time  0.221108
2021-09-21 19:54:30.618914 : Epoch  6, Batch    543, Loss  0.609310, Average Loss  0.604737, Time  0.221270
2021-09-21 19:54:32.091789 : Epoch  6, Batch    544, Loss  0.605413, Average Loss  0.604723, Time  0.221507
2021-09-21 19:54:33.566733 : Epoch  6, Batch    545, Loss  0.601068, Average Loss  0.604722, Time  0.221316
2021-09-21 19:54:35.040081 : Epoch  6, Batch    546, Loss  0.611899, Average Loss  0.604793, Time  0.221919
2021-09-21 19:54:36.540766 : Epoch  6, Batch    547, Loss  0.615703, Average Loss  0.604802, Time  0.221392
2021-09-21 19:54:38.007993 : Epoch  6, Batch    548, Loss  0.599390, Average Loss  0.604790, Time  0.221097
2021-09-21 19:54:39.486991 : Epoch  6, Batch    549, Loss  0.587425, Average Loss  0.604729, Time  0.222230
2021-09-21 19:54:40.949127 : Epoch  6, Batch    550, Loss  0.594374, Average Loss  0.604721, Time  0.220944
2021-09-21 19:54:42.412127 : Epoch  6, Batch    551, Loss  0.609052, Average Loss  0.604696, Time  0.221153
2021-09-21 19:54:43.881961 : Epoch  6, Batch    552, Loss  0.610166, Average Loss  0.604751, Time  0.221255
2021-09-21 19:54:45.355931 : Epoch  6, Batch    553, Loss  0.603482, Average Loss  0.604740, Time  0.221209
2021-09-21 19:54:46.873687 : Epoch  6, Batch    554, Loss  0.606270, Average Loss  0.604757, Time  0.221354
2021-09-21 19:54:48.361022 : Epoch  6, Batch    555, Loss  0.599429, Average Loss  0.604715, Time  0.221355
2021-09-21 19:54:49.829935 : Epoch  6, Batch    556, Loss  0.604197, Average Loss  0.604738, Time  0.220967
2021-09-21 19:54:51.293824 : Epoch  6, Batch    557, Loss  0.614205, Average Loss  0.604826, Time  0.221328
2021-09-21 19:54:52.752804 : Epoch  6, Batch    558, Loss  0.602132, Average Loss  0.604885, Time  0.221074
2021-09-21 19:54:54.216984 : Epoch  6, Batch    559, Loss  0.597584, Average Loss  0.604868, Time  0.221545
2021-09-21 19:54:55.672938 : Epoch  6, Batch    560, Loss  0.604585, Average Loss  0.604903, Time  0.221277
2021-09-21 19:54:57.130138 : Epoch  6, Batch    561, Loss  0.608052, Average Loss  0.604879, Time  0.221185
2021-09-21 19:54:58.653955 : Epoch  6, Batch    562, Loss  0.606388, Average Loss  0.604877, Time  0.221235
2021-09-21 19:55:00.129711 : Epoch  6, Batch    563, Loss  0.608260, Average Loss  0.604951, Time  0.222784
2021-09-21 19:55:01.693138 : Epoch  6, Batch    564, Loss  0.611036, Average Loss  0.604944, Time  0.221727
2021-09-21 19:55:03.153902 : Epoch  6, Batch    565, Loss  0.609088, Average Loss  0.604945, Time  0.221544
2021-09-21 19:55:58.304530 : CheckPoint: Validation Loss  0.00025049, Best Loss  0.00024804
2021-09-21 19:55:59.790033 : Epoch  6, Batch    566, Loss  0.607326, Average Loss  0.604981, Time  0.233837
2021-09-21 19:56:01.259907 : Epoch  6, Batch    567, Loss  0.593053, Average Loss  0.604960, Time  0.221675
2021-09-21 19:56:02.729894 : Epoch  6, Batch    568, Loss  0.594637, Average Loss  0.604896, Time  0.221545
2021-09-21 19:56:04.199937 : Epoch  6, Batch    569, Loss  0.606536, Average Loss  0.604837, Time  0.221556
2021-09-21 19:56:05.663908 : Epoch  6, Batch    570, Loss  0.599041, Average Loss  0.604806, Time  0.221083
2021-09-21 19:56:07.130169 : Epoch  6, Batch    571, Loss  0.607949, Average Loss  0.604867, Time  0.221526
2021-09-21 19:56:08.604777 : Epoch  6, Batch    572, Loss  0.591544, Average Loss  0.604782, Time  0.221034
2021-09-21 19:56:10.069804 : Epoch  6, Batch    573, Loss  0.608563, Average Loss  0.604762, Time  0.221638
2021-09-21 19:56:11.532874 : Epoch  6, Batch    574, Loss  0.615934, Average Loss  0.604803, Time  0.221758
2021-09-21 19:56:12.993091 : Epoch  6, Batch    575, Loss  0.603818, Average Loss  0.604811, Time  0.221090
2021-09-21 19:56:14.462931 : Epoch  6, Batch    576, Loss  0.616665, Average Loss  0.604876, Time  0.221118
2021-09-21 19:56:15.930968 : Epoch  6, Batch    577, Loss  0.601712, Average Loss  0.604881, Time  0.222112
2021-09-21 19:56:17.388128 : Epoch  6, Batch    578, Loss  0.597036, Average Loss  0.604850, Time  0.221680
2021-09-21 19:56:18.851923 : Epoch  6, Batch    579, Loss  0.600594, Average Loss  0.604883, Time  0.221391
2021-09-21 19:56:20.315717 : Epoch  6, Batch    580, Loss  0.604211, Average Loss  0.604863, Time  0.222006
2021-09-21 19:56:21.779101 : Epoch  6, Batch    581, Loss  0.608099, Average Loss  0.604914, Time  0.221006
2021-09-21 19:56:23.241961 : Epoch  6, Batch    582, Loss  0.610920, Average Loss  0.604868, Time  0.222255
2021-09-21 19:56:24.720909 : Epoch  6, Batch    583, Loss  0.609943, Average Loss  0.604909, Time  0.221514
2021-09-21 19:56:26.188911 : Epoch  6, Batch    584, Loss  0.602960, Average Loss  0.604912, Time  0.221143
2021-09-21 19:56:27.652932 : Epoch  6, Batch    585, Loss  0.602387, Average Loss  0.604888, Time  0.221451
2021-09-21 19:56:29.119750 : Epoch  6, Batch    586, Loss  0.602665, Average Loss  0.604889, Time  0.221070
2021-09-21 19:56:30.580938 : Epoch  6, Batch    587, Loss  0.605062, Average Loss  0.604896, Time  0.221117
2021-09-21 19:56:32.051216 : Epoch  6, Batch    588, Loss  0.601971, Average Loss  0.604857, Time  0.221649
2021-09-21 19:56:33.518979 : Epoch  6, Batch    589, Loss  0.612758, Average Loss  0.604879, Time  0.221300
2021-09-21 19:56:34.980959 : Epoch  6, Batch    590, Loss  0.604004, Average Loss  0.604904, Time  0.221273
2021-09-21 19:56:36.449821 : Epoch  6, Batch    591, Loss  0.594289, Average Loss  0.604800, Time  0.221421
2021-09-21 19:56:37.913695 : Epoch  6, Batch    592, Loss  0.610546, Average Loss  0.604822, Time  0.221319
2021-09-21 19:56:39.374205 : Epoch  6, Batch    593, Loss  0.609668, Average Loss  0.604881, Time  0.221046
2021-09-21 19:56:40.841964 : Epoch  6, Batch    594, Loss  0.609398, Average Loss  0.604873, Time  0.221415
2021-09-21 19:56:42.303009 : Epoch  6, Batch    595, Loss  0.613070, Average Loss  0.604924, Time  0.221241
2021-09-21 19:56:43.762837 : Epoch  6, Batch    596, Loss  0.587961, Average Loss  0.604866, Time  0.221231
2021-09-21 19:56:45.231929 : Epoch  6, Batch    597, Loss  0.593875, Average Loss  0.604819, Time  0.221209
2021-09-21 19:56:46.691031 : Epoch  6, Batch    598, Loss  0.593370, Average Loss  0.604764, Time  0.221151
2021-09-21 19:56:48.154932 : Epoch  6, Batch    599, Loss  0.609949, Average Loss  0.604810, Time  0.221286
2021-09-21 19:56:49.643198 : Epoch  6, Batch    600, Loss  0.598867, Average Loss  0.604742, Time  0.221419
2021-09-21 19:56:51.112678 : Epoch  6, Batch    601, Loss  0.605773, Average Loss  0.604767, Time  0.221071
2021-09-21 19:56:52.586212 : Epoch  6, Batch    602, Loss  0.604693, Average Loss  0.604752, Time  0.221654
2021-09-21 19:56:54.053196 : Epoch  6, Batch    603, Loss  0.588148, Average Loss  0.604689, Time  0.221264
2021-09-21 19:56:55.515044 : Epoch  6, Batch    604, Loss  0.598751, Average Loss  0.604687, Time  0.221278
2021-09-21 19:56:56.989194 : Epoch  6, Batch    605, Loss  0.602722, Average Loss  0.604639, Time  0.221370
2021-09-21 19:56:58.453723 : Epoch  6, Batch    606, Loss  0.599187, Average Loss  0.604648, Time  0.221131
2021-09-21 19:56:59.914010 : Epoch  6, Batch    607, Loss  0.602243, Average Loss  0.604654, Time  0.221243
2021-09-21 19:57:01.382065 : Epoch  6, Batch    608, Loss  0.614771, Average Loss  0.604739, Time  0.221078
2021-09-21 19:57:02.840910 : Epoch  6, Batch    609, Loss  0.600493, Average Loss  0.604774, Time  0.221348
2021-09-21 19:57:04.331741 : Epoch  6, Batch    610, Loss  0.608884, Average Loss  0.604771, Time  0.221184
2021-09-21 19:57:05.790768 : Epoch  6, Batch    611, Loss  0.609254, Average Loss  0.604754, Time  0.221534
2021-09-21 19:57:07.254972 : Epoch  6, Batch    612, Loss  0.600037, Average Loss  0.604723, Time  0.221280
2021-09-21 19:57:08.727709 : Epoch  6, Batch    613, Loss  0.605111, Average Loss  0.604694, Time  0.221192
2021-09-21 19:57:10.192776 : Epoch  6, Batch    614, Loss  0.597180, Average Loss  0.604719, Time  0.221958
2021-09-21 19:57:11.648934 : Epoch  6, Batch    615, Loss  0.607522, Average Loss  0.604724, Time  0.221164
2021-09-21 19:57:13.118932 : Epoch  6, Batch    616, Loss  0.613276, Average Loss  0.604805, Time  0.221516
2021-09-21 19:57:14.583879 : Epoch  6, Batch    617, Loss  0.603150, Average Loss  0.604736, Time  0.221908
2021-09-21 19:57:16.056927 : Epoch  6, Batch    618, Loss  0.607942, Average Loss  0.604710, Time  0.222158
2021-09-21 19:57:17.521688 : Epoch  6, Batch    619, Loss  0.613610, Average Loss  0.604691, Time  0.221273
2021-09-21 19:57:18.976954 : Epoch  6, Batch    620, Loss  0.615207, Average Loss  0.604729, Time  0.221519
2021-09-21 19:57:20.435905 : Epoch  6, Batch    621, Loss  0.611531, Average Loss  0.604758, Time  0.221201
2021-09-21 19:57:21.902118 : Epoch  6, Batch    622, Loss  0.612976, Average Loss  0.604838, Time  0.220866
2021-09-21 19:57:23.365808 : Epoch  6, Batch    623, Loss  0.597525, Average Loss  0.604860, Time  0.221219
2021-09-21 19:57:24.823889 : Epoch  6, Batch    624, Loss  0.608554, Average Loss  0.604890, Time  0.221819
2021-09-21 19:57:26.276027 : Epoch  6, Batch    625, Loss  0.593410, Average Loss  0.604866, Time  0.221584
2021-09-21 19:57:27.737955 : Epoch  6, Batch    626, Loss  0.601839, Average Loss  0.604846, Time  0.221465
2021-09-21 19:57:29.207920 : Epoch  6, Batch    627, Loss  0.598659, Average Loss  0.604834, Time  0.221394
2021-09-21 19:57:30.662173 : Epoch  6, Batch    628, Loss  0.620830, Average Loss  0.604941, Time  0.221139
2021-09-21 19:57:32.128123 : Epoch  6, Batch    629, Loss  0.604169, Average Loss  0.604972, Time  0.221226
2021-09-21 19:57:33.585887 : Epoch  6, Batch    630, Loss  0.612358, Average Loss  0.605033, Time  0.221269
2021-09-21 19:57:35.047707 : Epoch  6, Batch    631, Loss  0.603538, Average Loss  0.605024, Time  0.222108
2021-09-21 19:57:36.502335 : Epoch  6, Batch    632, Loss  0.601302, Average Loss  0.605017, Time  0.221223
2021-09-21 19:57:37.975116 : Epoch  6, Batch    633, Loss  0.600599, Average Loss  0.604997, Time  0.222103
2021-09-21 19:57:39.438742 : Epoch  6, Batch    634, Loss  0.600609, Average Loss  0.605008, Time  0.221586
2021-09-21 19:57:40.907760 : Epoch  6, Batch    635, Loss  0.597727, Average Loss  0.604862, Time  0.221179
2021-09-21 19:57:44.735811 : Epoch  6, Batch    636, Loss  0.607756, Average Loss  0.604912, Time  0.255450
2021-09-21 19:57:46.199890 : Epoch  6, Batch    637, Loss  0.613448, Average Loss  0.604993, Time  0.221141
2021-09-21 19:57:47.668885 : Epoch  6, Batch    638, Loss  0.608365, Average Loss  0.605042, Time  0.221282
2021-09-21 19:57:49.135714 : Epoch  6, Batch    639, Loss  0.601041, Average Loss  0.605079, Time  0.221406
2021-09-21 19:57:50.592035 : Epoch  6, Batch    640, Loss  0.604528, Average Loss  0.605011, Time  0.221054
2021-09-21 19:57:52.047113 : Epoch  6, Batch    641, Loss  0.606801, Average Loss  0.605000, Time  0.221010
2021-09-21 19:57:53.512815 : Epoch  6, Batch    642, Loss  0.613985, Average Loss  0.605111, Time  0.221577
2021-09-21 19:57:54.975689 : Epoch  6, Batch    643, Loss  0.616150, Average Loss  0.605146, Time  0.222216
2021-09-21 19:57:56.445716 : Epoch  6, Batch    644, Loss  0.602934, Average Loss  0.605149, Time  0.221301
2021-09-21 19:57:57.915828 : Epoch  6, Batch    645, Loss  0.608077, Average Loss  0.605156, Time  0.221817
2021-09-21 19:57:59.386052 : Epoch  6, Batch    646, Loss  0.610597, Average Loss  0.605150, Time  0.220990
2021-09-21 19:58:00.857765 : Epoch  6, Batch    647, Loss  0.609368, Average Loss  0.605100, Time  0.221405
2021-09-21 19:58:02.318217 : Epoch  6, Batch    648, Loss  0.610958, Average Loss  0.605108, Time  0.221033
2021-09-21 19:58:03.778201 : Epoch  6, Batch    649, Loss  0.594610, Average Loss  0.605058, Time  0.221115
2021-09-21 19:58:05.239039 : Epoch  6, Batch    650, Loss  0.594182, Average Loss  0.604993, Time  0.221733
2021-09-21 19:58:06.700950 : Epoch  6, Batch    651, Loss  0.594975, Average Loss  0.604952, Time  0.221045
2021-09-21 19:58:08.168999 : Epoch  6, Batch    652, Loss  0.611629, Average Loss  0.604969, Time  0.221381
2021-09-21 19:58:09.658099 : Epoch  6, Batch    653, Loss  0.612394, Average Loss  0.605004, Time  0.221650
2021-09-21 19:58:11.124013 : Epoch  6, Batch    654, Loss  0.601604, Average Loss  0.604999, Time  0.221209
2021-09-21 19:58:12.590201 : Epoch  6, Batch    655, Loss  0.609187, Average Loss  0.605034, Time  0.221189
2021-09-21 19:58:14.051148 : Epoch  6, Batch    656, Loss  0.593684, Average Loss  0.605049, Time  0.221373
2021-09-21 19:58:15.517911 : Epoch  6, Batch    657, Loss  0.604940, Average Loss  0.605061, Time  0.221021
2021-09-21 19:58:16.982726 : Epoch  6, Batch    658, Loss  0.612855, Average Loss  0.605166, Time  0.221285
2021-09-21 19:58:18.444983 : Epoch  6, Batch    659, Loss  0.613660, Average Loss  0.605226, Time  0.221345
2021-09-21 19:58:19.916807 : Epoch  6, Batch    660, Loss  0.606649, Average Loss  0.605209, Time  0.221381
2021-09-21 19:58:21.381948 : Epoch  6, Batch    661, Loss  0.610959, Average Loss  0.605265, Time  0.221491
2021-09-21 19:58:22.842082 : Epoch  6, Batch    662, Loss  0.602023, Average Loss  0.605267, Time  0.221359
2021-09-21 19:58:24.307770 : Epoch  6, Batch    663, Loss  0.613442, Average Loss  0.605310, Time  0.221514
2021-09-21 19:58:25.776723 : Epoch  6, Batch    664, Loss  0.601165, Average Loss  0.605343, Time  0.221351
2021-09-21 19:58:27.237991 : Epoch  6, Batch    665, Loss  0.608247, Average Loss  0.605343, Time  0.221408
2021-09-21 19:59:22.240677 : CheckPoint: Validation Loss  0.00024552, Best Loss  0.00024552
2021-09-21 19:59:22.282549 : Best Model Updated
2021-09-21 19:59:24.463757 : Epoch  6, Batch    666, Loss  0.626066, Average Loss  0.605487, Time  0.221762
2021-09-21 19:59:25.922682 : Epoch  6, Batch    667, Loss  0.607661, Average Loss  0.605515, Time  0.221171
2021-09-21 19:59:27.381737 : Epoch  6, Batch    668, Loss  0.611290, Average Loss  0.605499, Time  0.221408
2021-09-21 19:59:28.844751 : Epoch  6, Batch    669, Loss  0.622003, Average Loss  0.605561, Time  0.221455
2021-09-21 19:59:30.307105 : Epoch  6, Batch    670, Loss  0.602351, Average Loss  0.605553, Time  0.220924
2021-09-21 19:59:31.760724 : Epoch  6, Batch    671, Loss  0.609849, Average Loss  0.605552, Time  0.221724
2021-09-21 19:59:33.228916 : Epoch  6, Batch    672, Loss  0.611511, Average Loss  0.605601, Time  0.221246
2021-09-21 19:59:34.677921 : Epoch  6, Batch    673, Loss  0.607339, Average Loss  0.605608, Time  0.221076
2021-09-21 19:59:36.130953 : Epoch  6, Batch    674, Loss  0.597350, Average Loss  0.605548, Time  0.221710
2021-09-21 19:59:37.593112 : Epoch  6, Batch    675, Loss  0.601985, Average Loss  0.605526, Time  0.221489
2021-09-21 19:59:39.060986 : Epoch  6, Batch    676, Loss  0.612495, Average Loss  0.605547, Time  0.221050
2021-09-21 19:59:40.527919 : Epoch  6, Batch    677, Loss  0.608292, Average Loss  0.605596, Time  0.221285
2021-09-21 19:59:41.979728 : Epoch  6, Batch    678, Loss  0.600069, Average Loss  0.605556, Time  0.221357
2021-09-21 19:59:43.436510 : Epoch  6, Batch    679, Loss  0.607309, Average Loss  0.605527, Time  0.221485
2021-09-21 19:59:44.905203 : Epoch  6, Batch    680, Loss  0.597625, Average Loss  0.605513, Time  0.221566
2021-09-21 19:59:46.363165 : Epoch  6, Batch    681, Loss  0.606601, Average Loss  0.605548, Time  0.221259
2021-09-21 19:59:47.818927 : Epoch  6, Batch    682, Loss  0.604935, Average Loss  0.605561, Time  0.221276
2021-09-21 19:59:49.277803 : Epoch  6, Batch    683, Loss  0.609845, Average Loss  0.605605, Time  0.222104
2021-09-21 19:59:50.734692 : Epoch  6, Batch    684, Loss  0.599233, Average Loss  0.605512, Time  0.220922
2021-09-21 19:59:52.191172 : Epoch  6, Batch    685, Loss  0.608137, Average Loss  0.605542, Time  0.221107
2021-09-21 19:59:53.643717 : Epoch  6, Batch    686, Loss  0.613945, Average Loss  0.605630, Time  0.221603
2021-09-21 19:59:55.088042 : Epoch  6, Batch    687, Loss  0.597058, Average Loss  0.605568, Time  0.220837
2021-09-21 19:59:56.544084 : Epoch  6, Batch    688, Loss  0.611740, Average Loss  0.605575, Time  0.221106
2021-09-21 19:59:58.001742 : Epoch  6, Batch    689, Loss  0.607267, Average Loss  0.605650, Time  0.221747
2021-09-21 19:59:59.451838 : Epoch  6, Batch    690, Loss  0.607863, Average Loss  0.605654, Time  0.221111
2021-09-21 20:00:00.913160 : Epoch  6, Batch    691, Loss  0.609691, Average Loss  0.605660, Time  0.221431
2021-09-21 20:00:02.367649 : Epoch  6, Batch    692, Loss  0.616494, Average Loss  0.605704, Time  0.221945
2021-09-21 20:00:03.833159 : Epoch  6, Batch    693, Loss  0.592781, Average Loss  0.605632, Time  0.221493
2021-09-21 20:00:05.286430 : Epoch  6, Batch    694, Loss  0.606515, Average Loss  0.605574, Time  0.221201
2021-09-21 20:00:06.740690 : Epoch  6, Batch    695, Loss  0.602724, Average Loss  0.605586, Time  0.221691
2021-09-21 20:00:08.204214 : Epoch  6, Batch    696, Loss  0.603806, Average Loss  0.605607, Time  0.221045
2021-09-21 20:00:09.660082 : Epoch  6, Batch    697, Loss  0.607802, Average Loss  0.605621, Time  0.221807
2021-09-21 20:00:11.124981 : Epoch  6, Batch    698, Loss  0.590895, Average Loss  0.605608, Time  0.221123
2021-09-21 20:00:12.583945 : Epoch  6, Batch    699, Loss  0.607374, Average Loss  0.605621, Time  0.221442
2021-09-21 20:00:14.042098 : Epoch  6, Batch    700, Loss  0.594743, Average Loss  0.605554, Time  0.221316
2021-09-21 20:00:15.491071 : Epoch  6, Batch    701, Loss  0.599551, Average Loss  0.605551, Time  0.221262
2021-09-21 20:00:16.938969 : Epoch  6, Batch    702, Loss  0.610956, Average Loss  0.605583, Time  0.221255
2021-09-21 20:00:18.394081 : Epoch  6, Batch    703, Loss  0.609766, Average Loss  0.605564, Time  0.221527
2021-09-21 20:00:19.850195 : Epoch  6, Batch    704, Loss  0.607306, Average Loss  0.605578, Time  0.221239
2021-09-21 20:00:21.313727 : Epoch  6, Batch    705, Loss  0.600866, Average Loss  0.605516, Time  0.221398
2021-09-21 20:00:22.775737 : Epoch  6, Batch    706, Loss  0.612740, Average Loss  0.605504, Time  0.221282
2021-09-21 20:00:24.235938 : Epoch  6, Batch    707, Loss  0.600230, Average Loss  0.605453, Time  0.221208
2021-09-21 20:00:25.693937 : Epoch  6, Batch    708, Loss  0.598552, Average Loss  0.605396, Time  0.221197
2021-09-21 20:00:27.160319 : Epoch  6, Batch    709, Loss  0.599367, Average Loss  0.605334, Time  0.221307
2021-09-21 20:00:28.627870 : Epoch  6, Batch    710, Loss  0.610547, Average Loss  0.605333, Time  0.221393
2021-09-21 20:00:30.084644 : Epoch  6, Batch    711, Loss  0.607757, Average Loss  0.605370, Time  0.221332
2021-09-21 20:00:31.544856 : Epoch  6, Batch    712, Loss  0.614038, Average Loss  0.605417, Time  0.221197
2021-09-21 20:00:32.999926 : Epoch  6, Batch    713, Loss  0.614643, Average Loss  0.605396, Time  0.221126
2021-09-21 20:00:34.457961 : Epoch  6, Batch    714, Loss  0.605111, Average Loss  0.605415, Time  0.222062
2021-09-21 20:00:35.922718 : Epoch  6, Batch    715, Loss  0.613736, Average Loss  0.605455, Time  0.221628
2021-09-21 20:00:37.385150 : Epoch  6, Batch    716, Loss  0.604684, Average Loss  0.605484, Time  0.221745
2021-09-21 20:00:38.840157 : Epoch  6, Batch    717, Loss  0.610410, Average Loss  0.605500, Time  0.221284
2021-09-21 20:00:40.302272 : Epoch  6, Batch    718, Loss  0.613740, Average Loss  0.605533, Time  0.221289
2021-09-21 20:00:41.766064 : Epoch  6, Batch    719, Loss  0.611403, Average Loss  0.605574, Time  0.221549
2021-09-21 20:00:43.258384 : Epoch  6, Batch    720, Loss  0.609912, Average Loss  0.605561, Time  0.221024
2021-09-21 20:00:44.741943 : Epoch  6, Batch    721, Loss  0.614077, Average Loss  0.605582, Time  0.222382
2021-09-21 20:00:46.199806 : Epoch  6, Batch    722, Loss  0.606650, Average Loss  0.605640, Time  0.221333
2021-09-21 20:00:47.673084 : Epoch  6, Batch    723, Loss  0.608762, Average Loss  0.605600, Time  0.221371
2021-09-21 20:00:49.128089 : Epoch  6, Batch    724, Loss  0.604849, Average Loss  0.605634, Time  0.221469
2021-09-21 20:00:50.587189 : Epoch  6, Batch    725, Loss  0.602859, Average Loss  0.605592, Time  0.221291
2021-09-21 20:00:52.037725 : Epoch  6, Batch    726, Loss  0.603282, Average Loss  0.605586, Time  0.221186
2021-09-21 20:00:53.489696 : Epoch  6, Batch    727, Loss  0.600355, Average Loss  0.605575, Time  0.221400
2021-09-21 20:00:54.949107 : Epoch  6, Batch    728, Loss  0.602335, Average Loss  0.605547, Time  0.221315
2021-09-21 20:00:56.406916 : Epoch  6, Batch    729, Loss  0.587373, Average Loss  0.605468, Time  0.221352
2021-09-21 20:00:57.862944 : Epoch  6, Batch    730, Loss  0.608181, Average Loss  0.605584, Time  0.221005
2021-09-21 20:00:59.316084 : Epoch  6, Batch    731, Loss  0.609602, Average Loss  0.605611, Time  0.221305
2021-09-21 20:01:00.784161 : Epoch  6, Batch    732, Loss  0.606441, Average Loss  0.605649, Time  0.221149
2021-09-21 20:01:02.238943 : Epoch  6, Batch    733, Loss  0.611667, Average Loss  0.605704, Time  0.221566
2021-09-21 20:01:03.687847 : Epoch  6, Batch    734, Loss  0.601718, Average Loss  0.605635, Time  0.221123
2021-09-21 20:01:05.139699 : Epoch  6, Batch    735, Loss  0.609255, Average Loss  0.605616, Time  0.222503
2021-09-21 20:01:08.939689 : Epoch  6, Batch    736, Loss  0.589602, Average Loss  0.605490, Time  0.255880
2021-09-21 20:01:10.404841 : Epoch  6, Batch    737, Loss  0.613717, Average Loss  0.605489, Time  0.230760
2021-09-21 20:01:11.859720 : Epoch  6, Batch    738, Loss  0.607839, Average Loss  0.605464, Time  0.221225
2021-09-21 20:01:13.322461 : Epoch  6, Batch    739, Loss  0.587647, Average Loss  0.605430, Time  0.221719
2021-09-21 20:01:14.782821 : Epoch  6, Batch    740, Loss  0.600826, Average Loss  0.605376, Time  0.221330
2021-09-21 20:01:16.241095 : Epoch  6, Batch    741, Loss  0.604299, Average Loss  0.605356, Time  0.221323
2021-09-21 20:01:17.702685 : Epoch  6, Batch    742, Loss  0.606283, Average Loss  0.605391, Time  0.221139
2021-09-21 20:01:19.167109 : Epoch  6, Batch    743, Loss  0.602778, Average Loss  0.605359, Time  0.221280
2021-09-21 20:01:20.633111 : Epoch  6, Batch    744, Loss  0.618810, Average Loss  0.605426, Time  0.221043
2021-09-21 20:01:22.097698 : Epoch  6, Batch    745, Loss  0.607796, Average Loss  0.605459, Time  0.221291
2021-09-21 20:01:23.566948 : Epoch  6, Batch    746, Loss  0.601072, Average Loss  0.605405, Time  0.221166
2021-09-21 20:01:25.024099 : Epoch  6, Batch    747, Loss  0.604251, Average Loss  0.605348, Time  0.221162
2021-09-21 20:01:26.483909 : Epoch  6, Batch    748, Loss  0.598921, Average Loss  0.605346, Time  0.221292
2021-09-21 20:01:27.940951 : Epoch  6, Batch    749, Loss  0.606354, Average Loss  0.605440, Time  0.221206
2021-09-21 20:01:29.408684 : Epoch  6, Batch    750, Loss  0.610173, Average Loss  0.605519, Time  0.221236
2021-09-21 20:01:30.879980 : Epoch  6, Batch    751, Loss  0.600903, Average Loss  0.605478, Time  0.221518
2021-09-21 20:01:32.336945 : Epoch  6, Batch    752, Loss  0.615654, Average Loss  0.605506, Time  0.221055
2021-09-21 20:01:33.801112 : Epoch  6, Batch    753, Loss  0.600789, Average Loss  0.605492, Time  0.221156
2021-09-21 20:01:35.269108 : Epoch  6, Batch    754, Loss  0.600040, Average Loss  0.605461, Time  0.221395
2021-09-21 20:01:36.736099 : Epoch  6, Batch    755, Loss  0.613182, Average Loss  0.605530, Time  0.221141
2021-09-21 20:01:38.193953 : Epoch  6, Batch    756, Loss  0.607320, Average Loss  0.605546, Time  0.221339
2021-09-21 20:01:39.666043 : Epoch  6, Batch    757, Loss  0.605174, Average Loss  0.605500, Time  0.221787
2021-09-21 20:01:41.134099 : Epoch  6, Batch    758, Loss  0.610322, Average Loss  0.605541, Time  0.221026
2021-09-21 20:01:42.596923 : Epoch  6, Batch    759, Loss  0.608533, Average Loss  0.605596, Time  0.221393
2021-09-21 20:01:44.060801 : Epoch  6, Batch    760, Loss  0.603962, Average Loss  0.605593, Time  0.221623
2021-09-21 20:01:45.516861 : Epoch  6, Batch    761, Loss  0.608354, Average Loss  0.605595, Time  0.221258
2021-09-21 20:01:46.978711 : Epoch  6, Batch    762, Loss  0.619297, Average Loss  0.605659, Time  0.221180
2021-09-21 20:01:48.443117 : Epoch  6, Batch    763, Loss  0.607232, Average Loss  0.605654, Time  0.221417
2021-09-21 20:01:49.905876 : Epoch  6, Batch    764, Loss  0.590477, Average Loss  0.605551, Time  0.221486
2021-09-21 20:01:51.378793 : Epoch  6, Batch    765, Loss  0.600298, Average Loss  0.605507, Time  0.221558
2021-09-21 20:02:46.166699 : CheckPoint: Validation Loss  0.00024129, Best Loss  0.00024129
2021-09-21 20:02:46.209551 : Best Model Updated
2021-09-21 20:02:48.287939 : Epoch  6, Batch    766, Loss  0.607377, Average Loss  0.605507, Time  0.221835
2021-09-21 20:02:49.740976 : Epoch  6, Batch    767, Loss  0.599720, Average Loss  0.605541, Time  0.221389
2021-09-21 20:02:51.205868 : Epoch  6, Batch    768, Loss  0.594022, Average Loss  0.605538, Time  0.221281
2021-09-21 20:02:52.658067 : Epoch  6, Batch    769, Loss  0.593935, Average Loss  0.605475, Time  0.221288
2021-09-21 20:02:54.106051 : Epoch  6, Batch    770, Loss  0.601754, Average Loss  0.605488, Time  0.221473
2021-09-21 20:02:55.560406 : Epoch  6, Batch    771, Loss  0.608516, Average Loss  0.605491, Time  0.222283
2021-09-21 20:02:57.020714 : Epoch  6, Batch    772, Loss  0.605739, Average Loss  0.605562, Time  0.222317
2021-09-21 20:02:58.480780 : Epoch  6, Batch    773, Loss  0.608611, Average Loss  0.605562, Time  0.222158
2021-09-21 20:02:59.932934 : Epoch  6, Batch    774, Loss  0.601405, Average Loss  0.605490, Time  0.221630
2021-09-21 20:03:01.390989 : Epoch  6, Batch    775, Loss  0.605764, Average Loss  0.605499, Time  0.221642
2021-09-21 20:03:03.034975 : Epoch  6, Batch    776, Loss  0.597665, Average Loss  0.605404, Time  0.221347
2021-09-21 20:03:04.485925 : Epoch  6, Batch    777, Loss  0.596711, Average Loss  0.605379, Time  0.221087
2021-09-21 20:03:05.937971 : Epoch  6, Batch    778, Loss  0.599569, Average Loss  0.605392, Time  0.221566
2021-09-21 20:03:07.395997 : Epoch  6, Batch    779, Loss  0.598250, Average Loss  0.605380, Time  0.221287
2021-09-21 20:03:08.855793 : Epoch  6, Batch    780, Loss  0.599912, Average Loss  0.605359, Time  0.221590
2021-09-21 20:03:10.313076 : Epoch  6, Batch    781, Loss  0.607577, Average Loss  0.605356, Time  0.221286
2021-09-21 20:03:11.773875 : Epoch  6, Batch    782, Loss  0.606642, Average Loss  0.605335, Time  0.221007
2021-09-21 20:03:13.222732 : Epoch  6, Batch    783, Loss  0.606979, Average Loss  0.605320, Time  0.221167
2021-09-21 20:03:14.678873 : Epoch  6, Batch    784, Loss  0.601095, Average Loss  0.605311, Time  0.221205
2021-09-21 20:03:16.132077 : Epoch  6, Batch    785, Loss  0.612001, Average Loss  0.605359, Time  0.221421
2021-09-21 20:03:17.579918 : Epoch  6, Batch    786, Loss  0.597751, Average Loss  0.605334, Time  0.221221
2021-09-21 20:03:19.028477 : Epoch  6, Batch    787, Loss  0.591264, Average Loss  0.605265, Time  0.221441
2021-09-21 20:03:19.049579 : Saving Model after 6-th Epoch.
2021-09-21 20:03:19.712185 : Epoch Finished.
2021-09-21 20:03:22.071583 : Batch Shuffled
2021-09-21 20:03:23.575000 : Epoch  7, Batch      1, Loss  0.609330, Average Loss  0.605302, Time  0.261569
2021-09-21 20:03:25.034925 : Epoch  7, Batch      2, Loss  0.601874, Average Loss  0.605248, Time  0.234275
2021-09-21 20:03:26.491121 : Epoch  7, Batch      3, Loss  0.606155, Average Loss  0.605258, Time  0.221001
2021-09-21 20:03:27.943514 : Epoch  7, Batch      4, Loss  0.595915, Average Loss  0.605266, Time  0.221705
2021-09-21 20:03:29.391389 : Epoch  7, Batch      5, Loss  0.619799, Average Loss  0.605313, Time  0.221572
2021-09-21 20:03:30.843927 : Epoch  7, Batch      6, Loss  0.604945, Average Loss  0.605289, Time  0.221484
2021-09-21 20:03:32.296107 : Epoch  7, Batch      7, Loss  0.595856, Average Loss  0.605221, Time  0.221058
2021-09-21 20:03:33.746969 : Epoch  7, Batch      8, Loss  0.607786, Average Loss  0.605195, Time  0.221398
2021-09-21 20:03:35.202916 : Epoch  7, Batch      9, Loss  0.618792, Average Loss  0.605349, Time  0.221256
2021-09-21 20:03:36.653805 : Epoch  7, Batch     10, Loss  0.609185, Average Loss  0.605426, Time  0.221611
2021-09-21 20:03:38.099892 : Epoch  7, Batch     11, Loss  0.590282, Average Loss  0.605410, Time  0.221449
2021-09-21 20:03:39.551106 : Epoch  7, Batch     12, Loss  0.594855, Average Loss  0.605335, Time  0.221292
2021-09-21 20:03:40.997792 : Epoch  7, Batch     13, Loss  0.600347, Average Loss  0.605342, Time  0.221181
2021-09-21 20:03:42.449326 : Epoch  7, Batch     14, Loss  0.602421, Average Loss  0.605325, Time  0.221274
2021-09-21 20:03:43.898060 : Epoch  7, Batch     15, Loss  0.599135, Average Loss  0.605298, Time  0.221459
2021-09-21 20:03:45.345010 : Epoch  7, Batch     16, Loss  0.612096, Average Loss  0.605417, Time  0.221329
2021-09-21 20:03:46.796922 : Epoch  7, Batch     17, Loss  0.597162, Average Loss  0.605409, Time  0.221386
2021-09-21 20:03:48.238958 : Epoch  7, Batch     18, Loss  0.602431, Average Loss  0.605408, Time  0.221360
2021-09-21 20:03:49.699212 : Epoch  7, Batch     19, Loss  0.611589, Average Loss  0.605470, Time  0.221650
2021-09-21 20:03:51.156921 : Epoch  7, Batch     20, Loss  0.599838, Average Loss  0.605458, Time  0.221380
2021-09-21 20:03:52.618934 : Epoch  7, Batch     21, Loss  0.596319, Average Loss  0.605366, Time  0.221680
2021-09-21 20:03:54.082872 : Epoch  7, Batch     22, Loss  0.602738, Average Loss  0.605377, Time  0.221375
2021-09-21 20:03:55.532998 : Epoch  7, Batch     23, Loss  0.611226, Average Loss  0.605389, Time  0.221885
2021-09-21 20:03:57.001070 : Epoch  7, Batch     24, Loss  0.603582, Average Loss  0.605360, Time  0.221472
2021-09-21 20:03:58.458240 : Epoch  7, Batch     25, Loss  0.603074, Average Loss  0.605376, Time  0.221902
2021-09-21 20:03:59.915112 : Epoch  7, Batch     26, Loss  0.604219, Average Loss  0.605371, Time  0.221287
2021-09-21 20:04:01.374950 : Epoch  7, Batch     27, Loss  0.597729, Average Loss  0.605374, Time  0.221132
2021-09-21 20:04:02.835930 : Epoch  7, Batch     28, Loss  0.617251, Average Loss  0.605422, Time  0.221374
2021-09-21 20:04:04.293203 : Epoch  7, Batch     29, Loss  0.601147, Average Loss  0.605362, Time  0.220948
2021-09-21 20:04:05.750911 : Epoch  7, Batch     30, Loss  0.592235, Average Loss  0.605307, Time  0.221210
2021-09-21 20:04:07.202208 : Epoch  7, Batch     31, Loss  0.610791, Average Loss  0.605321, Time  0.221092
2021-09-21 20:04:08.653207 : Epoch  7, Batch     32, Loss  0.605553, Average Loss  0.605281, Time  0.221346
2021-09-21 20:04:10.104249 : Epoch  7, Batch     33, Loss  0.602038, Average Loss  0.605215, Time  0.221123
2021-09-21 20:04:11.567934 : Epoch  7, Batch     34, Loss  0.603338, Average Loss  0.605174, Time  0.221144
2021-09-21 20:04:13.023925 : Epoch  7, Batch     35, Loss  0.600301, Average Loss  0.605111, Time  0.221035
2021-09-21 20:04:14.488185 : Epoch  7, Batch     36, Loss  0.585374, Average Loss  0.605050, Time  0.221518
2021-09-21 20:04:15.952790 : Epoch  7, Batch     37, Loss  0.600982, Average Loss  0.605012, Time  0.221049
2021-09-21 20:04:17.403971 : Epoch  7, Batch     38, Loss  0.609999, Average Loss  0.605095, Time  0.221354
2021-09-21 20:04:18.860844 : Epoch  7, Batch     39, Loss  0.609289, Average Loss  0.605133, Time  0.221767
2021-09-21 20:04:20.315903 : Epoch  7, Batch     40, Loss  0.597708, Average Loss  0.605128, Time  0.221102
2021-09-21 20:04:21.778958 : Epoch  7, Batch     41, Loss  0.604915, Average Loss  0.605048, Time  0.221189
2021-09-21 20:04:23.239202 : Epoch  7, Batch     42, Loss  0.595979, Average Loss  0.605007, Time  0.221833
2021-09-21 20:04:24.690939 : Epoch  7, Batch     43, Loss  0.609636, Average Loss  0.604994, Time  0.221058
2021-09-21 20:04:26.143241 : Epoch  7, Batch     44, Loss  0.601543, Average Loss  0.604984, Time  0.221657
2021-09-21 20:04:27.598707 : Epoch  7, Batch     45, Loss  0.611700, Average Loss  0.605036, Time  0.221238
2021-09-21 20:04:29.054179 : Epoch  7, Batch     46, Loss  0.601385, Average Loss  0.605040, Time  0.221213
2021-09-21 20:04:30.510937 : Epoch  7, Batch     47, Loss  0.598250, Average Loss  0.605028, Time  0.221169
2021-09-21 20:04:31.968958 : Epoch  7, Batch     48, Loss  0.603942, Average Loss  0.605059, Time  0.221472
2021-09-21 20:04:33.435927 : Epoch  7, Batch     49, Loss  0.587911, Average Loss  0.604960, Time  0.221138
2021-09-21 20:04:34.898211 : Epoch  7, Batch     50, Loss  0.598543, Average Loss  0.604885, Time  0.221415
2021-09-21 20:04:36.353737 : Epoch  7, Batch     51, Loss  0.614777, Average Loss  0.604917, Time  0.221652
2021-09-21 20:04:37.800020 : Epoch  7, Batch     52, Loss  0.597473, Average Loss  0.604899, Time  0.221312
2021-09-21 20:04:39.254742 : Epoch  7, Batch     53, Loss  0.600980, Average Loss  0.604882, Time  0.221134
2021-09-21 20:04:40.709117 : Epoch  7, Batch     54, Loss  0.599237, Average Loss  0.604844, Time  0.221206
2021-09-21 20:04:42.151647 : Epoch  7, Batch     55, Loss  0.615925, Average Loss  0.604854, Time  0.221309
2021-09-21 20:04:43.601141 : Epoch  7, Batch     56, Loss  0.610967, Average Loss  0.604828, Time  0.221318
2021-09-21 20:04:45.080025 : Epoch  7, Batch     57, Loss  0.615171, Average Loss  0.604889, Time  0.221783
2021-09-21 20:04:46.549195 : Epoch  7, Batch     58, Loss  0.612482, Average Loss  0.604911, Time  0.221236
2021-09-21 20:04:48.009945 : Epoch  7, Batch     59, Loss  0.613437, Average Loss  0.604925, Time  0.222381
2021-09-21 20:04:49.487195 : Epoch  7, Batch     60, Loss  0.614135, Average Loss  0.604949, Time  0.221259
2021-09-21 20:04:50.943973 : Epoch  7, Batch     61, Loss  0.603855, Average Loss  0.604913, Time  0.221280
2021-09-21 20:04:52.411928 : Epoch  7, Batch     62, Loss  0.600191, Average Loss  0.604941, Time  0.221303
2021-09-21 20:04:53.871859 : Epoch  7, Batch     63, Loss  0.594510, Average Loss  0.604943, Time  0.221219
2021-09-21 20:04:55.328197 : Epoch  7, Batch     64, Loss  0.602740, Average Loss  0.604982, Time  0.221350
2021-09-21 20:04:56.785732 : Epoch  7, Batch     65, Loss  0.599631, Average Loss  0.604922, Time  0.221073
2021-09-21 20:04:58.236931 : Epoch  7, Batch     66, Loss  0.596583, Average Loss  0.604843, Time  0.221092
2021-09-21 20:04:59.699683 : Epoch  7, Batch     67, Loss  0.598958, Average Loss  0.604829, Time  0.221350
2021-09-21 20:05:01.186881 : Epoch  7, Batch     68, Loss  0.600609, Average Loss  0.604787, Time  0.221253
2021-09-21 20:05:02.665704 : Epoch  7, Batch     69, Loss  0.597566, Average Loss  0.604806, Time  0.221340
2021-09-21 20:05:04.125985 : Epoch  7, Batch     70, Loss  0.603328, Average Loss  0.604798, Time  0.221308
2021-09-21 20:05:05.590765 : Epoch  7, Batch     71, Loss  0.611157, Average Loss  0.604789, Time  0.221486
2021-09-21 20:05:07.046702 : Epoch  7, Batch     72, Loss  0.610034, Average Loss  0.604771, Time  0.221541
2021-09-21 20:05:08.507198 : Epoch  7, Batch     73, Loss  0.601082, Average Loss  0.604743, Time  0.223252
2021-09-21 20:05:09.967781 : Epoch  7, Batch     74, Loss  0.608860, Average Loss  0.604733, Time  0.221171
2021-09-21 20:05:11.427778 : Epoch  7, Batch     75, Loss  0.602040, Average Loss  0.604733, Time  0.221419
2021-09-21 20:05:12.884999 : Epoch  7, Batch     76, Loss  0.597088, Average Loss  0.604651, Time  0.222008
2021-09-21 20:05:14.341936 : Epoch  7, Batch     77, Loss  0.605635, Average Loss  0.604674, Time  0.221049
2021-09-21 20:05:15.804018 : Epoch  7, Batch     78, Loss  0.607805, Average Loss  0.604671, Time  0.221270
2021-09-21 20:06:10.788679 : CheckPoint: Validation Loss  0.00025466, Best Loss  0.00024129
2021-09-21 20:06:12.251870 : Epoch  7, Batch     79, Loss  0.596803, Average Loss  0.604525, Time  0.221876
2021-09-21 20:06:13.726161 : Epoch  7, Batch     80, Loss  0.609910, Average Loss  0.604536, Time  0.221429
2021-09-21 20:06:15.183117 : Epoch  7, Batch     81, Loss  0.606150, Average Loss  0.604511, Time  0.221243
2021-09-21 20:06:16.649978 : Epoch  7, Batch     82, Loss  0.602110, Average Loss  0.604411, Time  0.221107
2021-09-21 20:06:18.109195 : Epoch  7, Batch     83, Loss  0.605977, Average Loss  0.604429, Time  0.221097
2021-09-21 20:06:19.562925 : Epoch  7, Batch     84, Loss  0.610693, Average Loss  0.604434, Time  0.221406
2021-09-21 20:06:21.027823 : Epoch  7, Batch     85, Loss  0.607324, Average Loss  0.604413, Time  0.221280
2021-09-21 20:06:22.489015 : Epoch  7, Batch     86, Loss  0.601713, Average Loss  0.604384, Time  0.221500
2021-09-21 20:06:23.942759 : Epoch  7, Batch     87, Loss  0.594617, Average Loss  0.604371, Time  0.220894
2021-09-21 20:06:25.398985 : Epoch  7, Batch     88, Loss  0.598767, Average Loss  0.604355, Time  0.221407
2021-09-21 20:06:26.864145 : Epoch  7, Batch     89, Loss  0.600042, Average Loss  0.604292, Time  0.222174
2021-09-21 20:06:28.325789 : Epoch  7, Batch     90, Loss  0.599033, Average Loss  0.604246, Time  0.221275
2021-09-21 20:06:29.776998 : Epoch  7, Batch     91, Loss  0.606490, Average Loss  0.604278, Time  0.220986
2021-09-21 20:06:31.237817 : Epoch  7, Batch     92, Loss  0.603650, Average Loss  0.604260, Time  0.221728
2021-09-21 20:06:32.704958 : Epoch  7, Batch     93, Loss  0.592254, Average Loss  0.604233, Time  0.221791
2021-09-21 20:06:34.179195 : Epoch  7, Batch     94, Loss  0.603928, Average Loss  0.604220, Time  0.221166
2021-09-21 20:06:35.642183 : Epoch  7, Batch     95, Loss  0.613491, Average Loss  0.604263, Time  0.221252
2021-09-21 20:06:37.098197 : Epoch  7, Batch     96, Loss  0.599630, Average Loss  0.604211, Time  0.221110
2021-09-21 20:06:38.555286 : Epoch  7, Batch     97, Loss  0.606112, Average Loss  0.604246, Time  0.221573
2021-09-21 20:06:40.040816 : Epoch  7, Batch     98, Loss  0.609661, Average Loss  0.604253, Time  0.221490
2021-09-21 20:06:41.521692 : Epoch  7, Batch     99, Loss  0.609179, Average Loss  0.604230, Time  0.221348
2021-09-21 20:06:42.981701 : Epoch  7, Batch    100, Loss  0.606346, Average Loss  0.604276, Time  0.221551
2021-09-21 20:06:44.436700 : Epoch  7, Batch    101, Loss  0.602580, Average Loss  0.604230, Time  0.221184
2021-09-21 20:06:45.887181 : Epoch  7, Batch    102, Loss  0.609138, Average Loss  0.604240, Time  0.221102
2021-09-21 20:06:47.345676 : Epoch  7, Batch    103, Loss  0.611676, Average Loss  0.604259, Time  0.221514
2021-09-21 20:06:48.806192 : Epoch  7, Batch    104, Loss  0.600275, Average Loss  0.604212, Time  0.221569
2021-09-21 20:06:50.270057 : Epoch  7, Batch    105, Loss  0.601946, Average Loss  0.604139, Time  0.221352
2021-09-21 20:06:51.730405 : Epoch  7, Batch    106, Loss  0.602423, Average Loss  0.604187, Time  0.221716
2021-09-21 20:06:53.197213 : Epoch  7, Batch    107, Loss  0.611464, Average Loss  0.604212, Time  0.221510
2021-09-21 20:06:54.654780 : Epoch  7, Batch    108, Loss  0.606071, Average Loss  0.604229, Time  0.221388
2021-09-21 20:06:56.112673 : Epoch  7, Batch    109, Loss  0.606249, Average Loss  0.604241, Time  0.221014
2021-09-21 20:06:57.568838 : Epoch  7, Batch    110, Loss  0.610916, Average Loss  0.604256, Time  0.221803
2021-09-21 20:06:59.026716 : Epoch  7, Batch    111, Loss  0.601748, Average Loss  0.604311, Time  0.221248
2021-09-21 20:07:00.479045 : Epoch  7, Batch    112, Loss  0.591766, Average Loss  0.604233, Time  0.221268
2021-09-21 20:07:01.935206 : Epoch  7, Batch    113, Loss  0.599288, Average Loss  0.604255, Time  0.221653
2021-09-21 20:07:03.411209 : Epoch  7, Batch    114, Loss  0.603874, Average Loss  0.604277, Time  0.222445
2021-09-21 20:07:04.865191 : Epoch  7, Batch    115, Loss  0.608715, Average Loss  0.604266, Time  0.221023
2021-09-21 20:07:06.326002 : Epoch  7, Batch    116, Loss  0.603054, Average Loss  0.604232, Time  0.221812
2021-09-21 20:07:07.777211 : Epoch  7, Batch    117, Loss  0.606398, Average Loss  0.604228, Time  0.221288
2021-09-21 20:07:09.234926 : Epoch  7, Batch    118, Loss  0.591059, Average Loss  0.604179, Time  0.221241
2021-09-21 20:07:10.685997 : Epoch  7, Batch    119, Loss  0.597568, Average Loss  0.604103, Time  0.221330
2021-09-21 20:07:12.136933 : Epoch  7, Batch    120, Loss  0.601154, Average Loss  0.604107, Time  0.221140
2021-09-21 20:07:13.594737 : Epoch  7, Batch    121, Loss  0.600128, Average Loss  0.604115, Time  0.221817
2021-09-21 20:07:15.045203 : Epoch  7, Batch    122, Loss  0.616425, Average Loss  0.604201, Time  0.222286
2021-09-21 20:07:16.492125 : Epoch  7, Batch    123, Loss  0.604017, Average Loss  0.604168, Time  0.221253
2021-09-21 20:07:17.956041 : Epoch  7, Batch    124, Loss  0.601717, Average Loss  0.604138, Time  0.221440
2021-09-21 20:07:19.416936 : Epoch  7, Batch    125, Loss  0.604896, Average Loss  0.604092, Time  0.221124
2021-09-21 20:07:20.927192 : Epoch  7, Batch    126, Loss  0.618829, Average Loss  0.604113, Time  0.221571
2021-09-21 20:07:22.379971 : Epoch  7, Batch    127, Loss  0.602367, Average Loss  0.604099, Time  0.221150
2021-09-21 20:07:23.842695 : Epoch  7, Batch    128, Loss  0.606506, Average Loss  0.604063, Time  0.221368
2021-09-21 20:07:25.297198 : Epoch  7, Batch    129, Loss  0.615681, Average Loss  0.604118, Time  0.220906
2021-09-21 20:07:26.772224 : Epoch  7, Batch    130, Loss  0.596017, Average Loss  0.604046, Time  0.221523
2021-09-21 20:07:28.238964 : Epoch  7, Batch    131, Loss  0.604101, Average Loss  0.603998, Time  0.221316
2021-09-21 20:07:29.699195 : Epoch  7, Batch    132, Loss  0.601590, Average Loss  0.603949, Time  0.221456
2021-09-21 20:07:31.167008 : Epoch  7, Batch    133, Loss  0.609472, Average Loss  0.603947, Time  0.221555
2021-09-21 20:07:32.631782 : Epoch  7, Batch    134, Loss  0.602821, Average Loss  0.603890, Time  0.221311
2021-09-21 20:07:34.109085 : Epoch  7, Batch    135, Loss  0.602367, Average Loss  0.603869, Time  0.223043
2021-09-21 20:07:35.578930 : Epoch  7, Batch    136, Loss  0.595606, Average Loss  0.603803, Time  0.221165
2021-09-21 20:07:37.046783 : Epoch  7, Batch    137, Loss  0.614246, Average Loss  0.603850, Time  0.221437
2021-09-21 20:07:38.527014 : Epoch  7, Batch    138, Loss  0.593706, Average Loss  0.603804, Time  0.221690
2021-09-21 20:07:39.987736 : Epoch  7, Batch    139, Loss  0.597593, Average Loss  0.603776, Time  0.221043
2021-09-21 20:07:41.453203 : Epoch  7, Batch    140, Loss  0.602907, Average Loss  0.603789, Time  0.221494
2021-09-21 20:07:42.920213 : Epoch  7, Batch    141, Loss  0.622903, Average Loss  0.603891, Time  0.221138
2021-09-21 20:07:44.384229 : Epoch  7, Batch    142, Loss  0.601309, Average Loss  0.603961, Time  0.221768
2021-09-21 20:07:45.850748 : Epoch  7, Batch    143, Loss  0.598346, Average Loss  0.603912, Time  0.221269
2021-09-21 20:07:47.330999 : Epoch  7, Batch    144, Loss  0.603359, Average Loss  0.603881, Time  0.221452
2021-09-21 20:07:48.797223 : Epoch  7, Batch    145, Loss  0.602469, Average Loss  0.603861, Time  0.221395
2021-09-21 20:07:50.272061 : Epoch  7, Batch    146, Loss  0.613408, Average Loss  0.603870, Time  0.222864
2021-09-21 20:07:51.729976 : Epoch  7, Batch    147, Loss  0.617554, Average Loss  0.603949, Time  0.221479
2021-09-21 20:07:53.190195 : Epoch  7, Batch    148, Loss  0.609608, Average Loss  0.603951, Time  0.221333
2021-09-21 20:07:56.981224 : Epoch  7, Batch    149, Loss  0.600577, Average Loss  0.604005, Time  0.251009
2021-09-21 20:07:58.436137 : Epoch  7, Batch    150, Loss  0.596557, Average Loss  0.603920, Time  0.225231
2021-09-21 20:07:59.883030 : Epoch  7, Batch    151, Loss  0.605022, Average Loss  0.603906, Time  0.222060
2021-09-21 20:08:01.338927 : Epoch  7, Batch    152, Loss  0.603715, Average Loss  0.603986, Time  0.221142
2021-09-21 20:08:02.790680 : Epoch  7, Batch    153, Loss  0.604479, Average Loss  0.604004, Time  0.221436
2021-09-21 20:08:04.250246 : Epoch  7, Batch    154, Loss  0.607849, Average Loss  0.604022, Time  0.221626
2021-09-21 20:08:05.704788 : Epoch  7, Batch    155, Loss  0.605421, Average Loss  0.604018, Time  0.221217
2021-09-21 20:08:07.161786 : Epoch  7, Batch    156, Loss  0.603674, Average Loss  0.604022, Time  0.221160
2021-09-21 20:08:08.619687 : Epoch  7, Batch    157, Loss  0.600776, Average Loss  0.603932, Time  0.221834
2021-09-21 20:08:10.067970 : Epoch  7, Batch    158, Loss  0.603075, Average Loss  0.603908, Time  0.221368
2021-09-21 20:08:11.519796 : Epoch  7, Batch    159, Loss  0.603073, Average Loss  0.603918, Time  0.221299
2021-09-21 20:08:12.963838 : Epoch  7, Batch    160, Loss  0.610847, Average Loss  0.603951, Time  0.221341
2021-09-21 20:08:14.416187 : Epoch  7, Batch    161, Loss  0.599600, Average Loss  0.603955, Time  0.221093
2021-09-21 20:08:15.897861 : Epoch  7, Batch    162, Loss  0.597170, Average Loss  0.603909, Time  0.221335
2021-09-21 20:08:17.369700 : Epoch  7, Batch    163, Loss  0.614981, Average Loss  0.603933, Time  0.221425
2021-09-21 20:08:18.824917 : Epoch  7, Batch    164, Loss  0.592004, Average Loss  0.603888, Time  0.221167
2021-09-21 20:08:20.277705 : Epoch  7, Batch    165, Loss  0.604645, Average Loss  0.603833, Time  0.221519
2021-09-21 20:08:21.739929 : Epoch  7, Batch    166, Loss  0.604253, Average Loss  0.603851, Time  0.221309
2021-09-21 20:08:23.194262 : Epoch  7, Batch    167, Loss  0.604551, Average Loss  0.603873, Time  0.220884
2021-09-21 20:08:24.659976 : Epoch  7, Batch    168, Loss  0.598520, Average Loss  0.603800, Time  0.221834
2021-09-21 20:08:26.111974 : Epoch  7, Batch    169, Loss  0.592919, Average Loss  0.603728, Time  0.221058
2021-09-21 20:08:27.563693 : Epoch  7, Batch    170, Loss  0.608865, Average Loss  0.603746, Time  0.221173
2021-09-21 20:08:29.021873 : Epoch  7, Batch    171, Loss  0.605283, Average Loss  0.603721, Time  0.221153
2021-09-21 20:08:30.474792 : Epoch  7, Batch    172, Loss  0.603457, Average Loss  0.603696, Time  0.221220
2021-09-21 20:08:31.935967 : Epoch  7, Batch    173, Loss  0.605014, Average Loss  0.603701, Time  0.221265
2021-09-21 20:08:33.387288 : Epoch  7, Batch    174, Loss  0.590166, Average Loss  0.603610, Time  0.221146
2021-09-21 20:08:34.845023 : Epoch  7, Batch    175, Loss  0.597060, Average Loss  0.603499, Time  0.221156
2021-09-21 20:08:36.306720 : Epoch  7, Batch    176, Loss  0.603915, Average Loss  0.603482, Time  0.221553
2021-09-21 20:08:37.775939 : Epoch  7, Batch    177, Loss  0.608488, Average Loss  0.603572, Time  0.220883
2021-09-21 20:08:39.236749 : Epoch  7, Batch    178, Loss  0.604687, Average Loss  0.603594, Time  0.221495
2021-09-21 20:09:34.105638 : CheckPoint: Validation Loss  0.00025494, Best Loss  0.00024129
2021-09-21 20:09:35.566079 : Epoch  7, Batch    179, Loss  0.600110, Average Loss  0.603558, Time  0.222268
2021-09-21 20:09:37.024919 : Epoch  7, Batch    180, Loss  0.602759, Average Loss  0.603573, Time  0.222341
2021-09-21 20:09:38.476183 : Epoch  7, Batch    181, Loss  0.602448, Average Loss  0.603615, Time  0.221054
2021-09-21 20:09:39.941737 : Epoch  7, Batch    182, Loss  0.600212, Average Loss  0.603647, Time  0.221696
2021-09-21 20:09:41.406920 : Epoch  7, Batch    183, Loss  0.615015, Average Loss  0.603713, Time  0.221131
2021-09-21 20:09:42.868024 : Epoch  7, Batch    184, Loss  0.603076, Average Loss  0.603686, Time  0.221277
2021-09-21 20:09:44.320869 : Epoch  7, Batch    185, Loss  0.599182, Average Loss  0.603653, Time  0.221738
2021-09-21 20:09:45.808088 : Epoch  7, Batch    186, Loss  0.619170, Average Loss  0.603706, Time  0.221308
2021-09-21 20:09:47.263773 : Epoch  7, Batch    187, Loss  0.594106, Average Loss  0.603669, Time  0.222923
2021-09-21 20:09:48.719163 : Epoch  7, Batch    188, Loss  0.595419, Average Loss  0.603617, Time  0.221167
2021-09-21 20:09:50.178924 : Epoch  7, Batch    189, Loss  0.610726, Average Loss  0.603683, Time  0.221128
2021-09-21 20:09:51.634209 : Epoch  7, Batch    190, Loss  0.614972, Average Loss  0.603774, Time  0.221328
2021-09-21 20:09:53.098852 : Epoch  7, Batch    191, Loss  0.603837, Average Loss  0.603795, Time  0.221063
2021-09-21 20:09:54.560831 : Epoch  7, Batch    192, Loss  0.600707, Average Loss  0.603808, Time  0.221441
2021-09-21 20:09:56.023719 : Epoch  7, Batch    193, Loss  0.615980, Average Loss  0.603888, Time  0.221544
2021-09-21 20:09:57.483181 : Epoch  7, Batch    194, Loss  0.605218, Average Loss  0.603876, Time  0.221690
2021-09-21 20:09:58.949908 : Epoch  7, Batch    195, Loss  0.597952, Average Loss  0.603833, Time  0.221274
2021-09-21 20:10:00.407981 : Epoch  7, Batch    196, Loss  0.602978, Average Loss  0.603813, Time  0.222285
2021-09-21 20:10:01.876705 : Epoch  7, Batch    197, Loss  0.606020, Average Loss  0.603837, Time  0.221214
2021-09-21 20:10:03.336877 : Epoch  7, Batch    198, Loss  0.607867, Average Loss  0.603817, Time  0.221221
2021-09-21 20:10:04.829733 : Epoch  7, Batch    199, Loss  0.602835, Average Loss  0.603842, Time  0.221604
2021-09-21 20:10:06.311783 : Epoch  7, Batch    200, Loss  0.591816, Average Loss  0.603845, Time  0.221445
2021-09-21 20:10:07.785943 : Epoch  7, Batch    201, Loss  0.591220, Average Loss  0.603754, Time  0.221340
2021-09-21 20:10:09.259855 : Epoch  7, Batch    202, Loss  0.600291, Average Loss  0.603746, Time  0.221548
2021-09-21 20:10:10.724932 : Epoch  7, Batch    203, Loss  0.612186, Average Loss  0.603777, Time  0.221293
2021-09-21 20:10:12.187738 : Epoch  7, Batch    204, Loss  0.601199, Average Loss  0.603803, Time  0.221390
2021-09-21 20:10:13.652675 : Epoch  7, Batch    205, Loss  0.605902, Average Loss  0.603734, Time  0.221097
2021-09-21 20:10:15.116924 : Epoch  7, Batch    206, Loss  0.598759, Average Loss  0.603703, Time  0.221116
2021-09-21 20:10:16.577756 : Epoch  7, Batch    207, Loss  0.598442, Average Loss  0.603716, Time  0.221298
2021-09-21 20:10:18.036073 : Epoch  7, Batch    208, Loss  0.607328, Average Loss  0.603713, Time  0.221153
2021-09-21 20:10:19.502686 : Epoch  7, Batch    209, Loss  0.600213, Average Loss  0.603620, Time  0.221352
2021-09-21 20:10:20.975734 : Epoch  7, Batch    210, Loss  0.607556, Average Loss  0.603612, Time  0.221547
2021-09-21 20:10:22.447930 : Epoch  7, Batch    211, Loss  0.603308, Average Loss  0.603677, Time  0.221132
2021-09-21 20:10:23.909926 : Epoch  7, Batch    212, Loss  0.605756, Average Loss  0.603732, Time  0.221214
2021-09-21 20:10:25.378786 : Epoch  7, Batch    213, Loss  0.593643, Average Loss  0.603698, Time  0.221473
2021-09-21 20:10:26.838935 : Epoch  7, Batch    214, Loss  0.606031, Average Loss  0.603716, Time  0.221077
2021-09-21 20:10:28.296742 : Epoch  7, Batch    215, Loss  0.591627, Average Loss  0.603679, Time  0.221066
2021-09-21 20:10:29.762848 : Epoch  7, Batch    216, Loss  0.604261, Average Loss  0.603640, Time  0.222163
2021-09-21 20:10:31.230188 : Epoch  7, Batch    217, Loss  0.612400, Average Loss  0.603716, Time  0.221030
2021-09-21 20:10:32.690931 : Epoch  7, Batch    218, Loss  0.612518, Average Loss  0.603766, Time  0.221348
2021-09-21 20:10:34.160717 : Epoch  7, Batch    219, Loss  0.600634, Average Loss  0.603712, Time  0.221765
2021-09-21 20:10:35.621727 : Epoch  7, Batch    220, Loss  0.599196, Average Loss  0.603708, Time  0.221307
2021-09-21 20:10:37.092908 : Epoch  7, Batch    221, Loss  0.608772, Average Loss  0.603771, Time  0.220988
2021-09-21 20:10:38.550184 : Epoch  7, Batch    222, Loss  0.610126, Average Loss  0.603808, Time  0.221169
2021-09-21 20:10:40.009864 : Epoch  7, Batch    223, Loss  0.599897, Average Loss  0.603751, Time  0.221322
2021-09-21 20:10:41.481739 : Epoch  7, Batch    224, Loss  0.613107, Average Loss  0.603799, Time  0.221812
2021-09-21 20:10:42.951964 : Epoch  7, Batch    225, Loss  0.616758, Average Loss  0.603867, Time  0.221502
2021-09-21 20:10:44.416953 : Epoch  7, Batch    226, Loss  0.603853, Average Loss  0.603865, Time  0.221390
2021-09-21 20:10:45.878991 : Epoch  7, Batch    227, Loss  0.593475, Average Loss  0.603844, Time  0.221322
2021-09-21 20:10:47.340923 : Epoch  7, Batch    228, Loss  0.606026, Average Loss  0.603788, Time  0.221314
2021-09-21 20:10:48.809922 : Epoch  7, Batch    229, Loss  0.611879, Average Loss  0.603841, Time  0.221883
2021-09-21 20:10:50.283179 : Epoch  7, Batch    230, Loss  0.604302, Average Loss  0.603902, Time  0.221584
2021-09-21 20:10:51.755260 : Epoch  7, Batch    231, Loss  0.608197, Average Loss  0.603889, Time  0.221413
2021-09-21 20:10:53.228756 : Epoch  7, Batch    232, Loss  0.607819, Average Loss  0.603900, Time  0.221186
2021-09-21 20:10:54.696099 : Epoch  7, Batch    233, Loss  0.593849, Average Loss  0.603859, Time  0.221316
2021-09-21 20:10:56.163981 : Epoch  7, Batch    234, Loss  0.613523, Average Loss  0.603910, Time  0.221655
2021-09-21 20:10:57.630770 : Epoch  7, Batch    235, Loss  0.614185, Average Loss  0.603979, Time  0.221149
2021-09-21 20:10:59.099727 : Epoch  7, Batch    236, Loss  0.607661, Average Loss  0.604091, Time  0.221385
2021-09-21 20:11:00.556433 : Epoch  7, Batch    237, Loss  0.586903, Average Loss  0.604020, Time  0.221258
2021-09-21 20:11:02.010835 : Epoch  7, Batch    238, Loss  0.595655, Average Loss  0.603949, Time  0.221267
2021-09-21 20:11:03.475732 : Epoch  7, Batch    239, Loss  0.603962, Average Loss  0.603922, Time  0.221316
2021-09-21 20:11:04.945138 : Epoch  7, Batch    240, Loss  0.606118, Average Loss  0.603964, Time  0.221033
2021-09-21 20:11:06.403707 : Epoch  7, Batch    241, Loss  0.604765, Average Loss  0.603963, Time  0.221430
2021-09-21 20:11:07.874010 : Epoch  7, Batch    242, Loss  0.604819, Average Loss  0.604008, Time  0.221502
2021-09-21 20:11:09.337187 : Epoch  7, Batch    243, Loss  0.605644, Average Loss  0.603988, Time  0.221227
2021-09-21 20:11:10.801752 : Epoch  7, Batch    244, Loss  0.597729, Average Loss  0.603969, Time  0.221380
2021-09-21 20:11:12.271822 : Epoch  7, Batch    245, Loss  0.602524, Average Loss  0.603923, Time  0.221465
2021-09-21 20:11:13.729194 : Epoch  7, Batch    246, Loss  0.603139, Average Loss  0.603931, Time  0.221310
2021-09-21 20:11:15.184718 : Epoch  7, Batch    247, Loss  0.596588, Average Loss  0.603923, Time  0.221221
2021-09-21 20:11:16.650984 : Epoch  7, Batch    248, Loss  0.602246, Average Loss  0.603915, Time  0.221495
2021-09-21 20:11:20.447029 : Epoch  7, Batch    249, Loss  0.611547, Average Loss  0.604033, Time  0.254857
2021-09-21 20:11:21.907722 : Epoch  7, Batch    250, Loss  0.600611, Average Loss  0.604043, Time  0.221675
2021-09-21 20:11:23.373045 : Epoch  7, Batch    251, Loss  0.599851, Average Loss  0.603969, Time  0.221328
2021-09-21 20:11:24.841076 : Epoch  7, Batch    252, Loss  0.609865, Average Loss  0.604031, Time  0.222325
2021-09-21 20:11:26.338914 : Epoch  7, Batch    253, Loss  0.622221, Average Loss  0.604137, Time  0.221393
2021-09-21 20:11:27.792929 : Epoch  7, Batch    254, Loss  0.612784, Average Loss  0.604204, Time  0.221266
2021-09-21 20:11:29.248447 : Epoch  7, Batch    255, Loss  0.616853, Average Loss  0.604209, Time  0.221976
2021-09-21 20:11:30.702155 : Epoch  7, Batch    256, Loss  0.614260, Average Loss  0.604226, Time  0.221109
2021-09-21 20:11:32.161918 : Epoch  7, Batch    257, Loss  0.605876, Average Loss  0.604179, Time  0.221326
2021-09-21 20:11:33.624184 : Epoch  7, Batch    258, Loss  0.609775, Average Loss  0.604166, Time  0.221361
2021-09-21 20:11:35.088017 : Epoch  7, Batch    259, Loss  0.596135, Average Loss  0.604079, Time  0.221357
2021-09-21 20:11:36.546188 : Epoch  7, Batch    260, Loss  0.610248, Average Loss  0.604060, Time  0.222357
2021-09-21 20:11:37.997694 : Epoch  7, Batch    261, Loss  0.597998, Average Loss  0.604030, Time  0.221531
2021-09-21 20:11:39.447123 : Epoch  7, Batch    262, Loss  0.612452, Average Loss  0.604092, Time  0.221290
2021-09-21 20:11:40.909911 : Epoch  7, Batch    263, Loss  0.605865, Average Loss  0.604148, Time  0.221232
2021-09-21 20:11:42.367942 : Epoch  7, Batch    264, Loss  0.597865, Average Loss  0.604124, Time  0.221354
2021-09-21 20:11:43.828702 : Epoch  7, Batch    265, Loss  0.614176, Average Loss  0.604197, Time  0.221245
2021-09-21 20:11:45.271962 : Epoch  7, Batch    266, Loss  0.606075, Average Loss  0.604244, Time  0.221559
2021-09-21 20:11:46.760915 : Epoch  7, Batch    267, Loss  0.586523, Average Loss  0.604182, Time  0.221009
2021-09-21 20:11:48.220913 : Epoch  7, Batch    268, Loss  0.604157, Average Loss  0.604200, Time  0.221199
2021-09-21 20:11:49.672264 : Epoch  7, Batch    269, Loss  0.606148, Average Loss  0.604243, Time  0.221348
2021-09-21 20:11:51.155104 : Epoch  7, Batch    270, Loss  0.610392, Average Loss  0.604278, Time  0.221380
2021-09-21 20:11:52.607864 : Epoch  7, Batch    271, Loss  0.590473, Average Loss  0.604175, Time  0.221578
2021-09-21 20:11:54.071911 : Epoch  7, Batch    272, Loss  0.599303, Average Loss  0.604121, Time  0.221699
2021-09-21 20:11:55.533689 : Epoch  7, Batch    273, Loss  0.604377, Average Loss  0.604137, Time  0.221388
2021-09-21 20:11:56.987700 : Epoch  7, Batch    274, Loss  0.613329, Average Loss  0.604160, Time  0.221314
2021-09-21 20:11:58.452793 : Epoch  7, Batch    275, Loss  0.593353, Average Loss  0.604116, Time  0.221414
2021-09-21 20:11:59.911096 : Epoch  7, Batch    276, Loss  0.612481, Average Loss  0.604193, Time  0.221272
2021-09-21 20:12:01.370931 : Epoch  7, Batch    277, Loss  0.594461, Average Loss  0.604137, Time  0.221164
2021-09-21 20:12:05.104810 : Epoch  7, Batch    278, Loss  0.596970, Average Loss  0.604083, Time  0.256772
2021-09-21 20:12:59.974681 : CheckPoint: Validation Loss  0.00025593, Best Loss  0.00024129
2021-09-21 20:13:01.443930 : Epoch  7, Batch    279, Loss  0.602410, Average Loss  0.604111, Time  0.221820
2021-09-21 20:13:02.903099 : Epoch  7, Batch    280, Loss  0.602111, Average Loss  0.604072, Time  0.221450
2021-09-21 20:13:04.376719 : Epoch  7, Batch    281, Loss  0.606962, Average Loss  0.604076, Time  0.221239
2021-09-21 20:13:05.847955 : Epoch  7, Batch    282, Loss  0.605497, Average Loss  0.604093, Time  0.221369
2021-09-21 20:13:07.304168 : Epoch  7, Batch    283, Loss  0.599623, Average Loss  0.604062, Time  0.221190
2021-09-21 20:13:08.769922 : Epoch  7, Batch    284, Loss  0.613525, Average Loss  0.604076, Time  0.221595
2021-09-21 20:13:10.223957 : Epoch  7, Batch    285, Loss  0.598390, Average Loss  0.604031, Time  0.221250
2021-09-21 20:13:11.688689 : Epoch  7, Batch    286, Loss  0.593526, Average Loss  0.603990, Time  0.221758
2021-09-21 20:13:13.150928 : Epoch  7, Batch    287, Loss  0.607817, Average Loss  0.604056, Time  0.221949
2021-09-21 20:13:14.607362 : Epoch  7, Batch    288, Loss  0.605140, Average Loss  0.604088, Time  0.221416
2021-09-21 20:13:16.066924 : Epoch  7, Batch    289, Loss  0.599166, Average Loss  0.604084, Time  0.220986
2021-09-21 20:13:17.532178 : Epoch  7, Batch    290, Loss  0.601700, Average Loss  0.604097, Time  0.221708
2021-09-21 20:13:18.993941 : Epoch  7, Batch    291, Loss  0.596825, Average Loss  0.604049, Time  0.221112
2021-09-21 20:13:20.462778 : Epoch  7, Batch    292, Loss  0.615589, Average Loss  0.604108, Time  0.221958
2021-09-21 20:13:21.918961 : Epoch  7, Batch    293, Loss  0.588674, Average Loss  0.604090, Time  0.220989
2021-09-21 20:13:23.374086 : Epoch  7, Batch    294, Loss  0.604107, Average Loss  0.604091, Time  0.221371
2021-09-21 20:13:24.833958 : Epoch  7, Batch    295, Loss  0.601224, Average Loss  0.604030, Time  0.221333
2021-09-21 20:13:26.305728 : Epoch  7, Batch    296, Loss  0.607955, Average Loss  0.604072, Time  0.221755
2021-09-21 20:13:27.766783 : Epoch  7, Batch    297, Loss  0.600881, Average Loss  0.604045, Time  0.221724
2021-09-21 20:13:29.228187 : Epoch  7, Batch    298, Loss  0.607067, Average Loss  0.604032, Time  0.221267
2021-09-21 20:13:30.688018 : Epoch  7, Batch    299, Loss  0.599554, Average Loss  0.603984, Time  0.221450
2021-09-21 20:13:32.152071 : Epoch  7, Batch    300, Loss  0.621788, Average Loss  0.604062, Time  0.221337
2021-09-21 20:13:33.609041 : Epoch  7, Batch    301, Loss  0.599194, Average Loss  0.604045, Time  0.221411
2021-09-21 20:13:35.078066 : Epoch  7, Batch    302, Loss  0.600172, Average Loss  0.604000, Time  0.221819
2021-09-21 20:13:36.545683 : Epoch  7, Batch    303, Loss  0.597846, Average Loss  0.603931, Time  0.221350
2021-09-21 20:13:38.005704 : Epoch  7, Batch    304, Loss  0.588838, Average Loss  0.603873, Time  0.221369
2021-09-21 20:13:39.465146 : Epoch  7, Batch    305, Loss  0.601733, Average Loss  0.603872, Time  0.221026
2021-09-21 20:13:40.923734 : Epoch  7, Batch    306, Loss  0.601554, Average Loss  0.603868, Time  0.221564
2021-09-21 20:13:42.391979 : Epoch  7, Batch    307, Loss  0.609965, Average Loss  0.603861, Time  0.221375
2021-09-21 20:13:43.860108 : Epoch  7, Batch    308, Loss  0.614008, Average Loss  0.603900, Time  0.221146
2021-09-21 20:13:45.319876 : Epoch  7, Batch    309, Loss  0.614964, Average Loss  0.603944, Time  0.221080
2021-09-21 20:13:46.782913 : Epoch  7, Batch    310, Loss  0.602423, Average Loss  0.603901, Time  0.221683
2021-09-21 20:13:48.243871 : Epoch  7, Batch    311, Loss  0.611608, Average Loss  0.603951, Time  0.221143
2021-09-21 20:13:49.717927 : Epoch  7, Batch    312, Loss  0.607073, Average Loss  0.604027, Time  0.221375
2021-09-21 20:13:51.190944 : Epoch  7, Batch    313, Loss  0.613627, Average Loss  0.604099, Time  0.221117
2021-09-21 20:13:52.649247 : Epoch  7, Batch    314, Loss  0.601438, Average Loss  0.604087, Time  0.221381
2021-09-21 20:13:54.103955 : Epoch  7, Batch    315, Loss  0.589409, Average Loss  0.603990, Time  0.221105
2021-09-21 20:13:55.571953 : Epoch  7, Batch    316, Loss  0.616067, Average Loss  0.604055, Time  0.221119
2021-09-21 20:13:57.035763 : Epoch  7, Batch    317, Loss  0.597218, Average Loss  0.604009, Time  0.222700
2021-09-21 20:13:58.504725 : Epoch  7, Batch    318, Loss  0.600636, Average Loss  0.604057, Time  0.221899
2021-09-21 20:13:59.966899 : Epoch  7, Batch    319, Loss  0.608770, Average Loss  0.604113, Time  0.221307
2021-09-21 20:14:01.437719 : Epoch  7, Batch    320, Loss  0.605842, Average Loss  0.604137, Time  0.221362
2021-09-21 20:14:02.900896 : Epoch  7, Batch    321, Loss  0.615662, Average Loss  0.604214, Time  0.221299
2021-09-21 20:14:04.371720 : Epoch  7, Batch    322, Loss  0.608532, Average Loss  0.604175, Time  0.221589
2021-09-21 20:14:05.837681 : Epoch  7, Batch    323, Loss  0.599556, Average Loss  0.604153, Time  0.220973
2021-09-21 20:14:07.310900 : Epoch  7, Batch    324, Loss  0.610378, Average Loss  0.604196, Time  0.222080
2021-09-21 20:14:08.773950 : Epoch  7, Batch    325, Loss  0.607199, Average Loss  0.604207, Time  0.220952
2021-09-21 20:14:10.235929 : Epoch  7, Batch    326, Loss  0.615742, Average Loss  0.604192, Time  0.221128
2021-09-21 20:14:11.698975 : Epoch  7, Batch    327, Loss  0.600454, Average Loss  0.604182, Time  0.221705
2021-09-21 20:14:13.160989 : Epoch  7, Batch    328, Loss  0.607038, Average Loss  0.604185, Time  0.221421
2021-09-21 20:14:14.620893 : Epoch  7, Batch    329, Loss  0.607808, Average Loss  0.604146, Time  0.221165
2021-09-21 20:14:16.087928 : Epoch  7, Batch    330, Loss  0.606629, Average Loss  0.604199, Time  0.221471
2021-09-21 20:14:17.552946 : Epoch  7, Batch    331, Loss  0.610794, Average Loss  0.604232, Time  0.221174
2021-09-21 20:14:19.022924 : Epoch  7, Batch    332, Loss  0.606680, Average Loss  0.604258, Time  0.221303
2021-09-21 20:14:20.480126 : Epoch  7, Batch    333, Loss  0.603630, Average Loss  0.604228, Time  0.221215
2021-09-21 20:14:21.938743 : Epoch  7, Batch    334, Loss  0.602523, Average Loss  0.604227, Time  0.221623
2021-09-21 20:14:23.396002 : Epoch  7, Batch    335, Loss  0.599421, Average Loss  0.604212, Time  0.221111
2021-09-21 20:14:24.864920 : Epoch  7, Batch    336, Loss  0.601529, Average Loss  0.604242, Time  0.221492
2021-09-21 20:14:26.324913 : Epoch  7, Batch    337, Loss  0.590220, Average Loss  0.604122, Time  0.220952
2021-09-21 20:14:27.781148 : Epoch  7, Batch    338, Loss  0.607881, Average Loss  0.604193, Time  0.221359
2021-09-21 20:14:29.249939 : Epoch  7, Batch    339, Loss  0.597227, Average Loss  0.604191, Time  0.221699
2021-09-21 20:14:30.704975 : Epoch  7, Batch    340, Loss  0.614920, Average Loss  0.604251, Time  0.221317
2021-09-21 20:14:32.165704 : Epoch  7, Batch    341, Loss  0.619863, Average Loss  0.604236, Time  0.221457
2021-09-21 20:14:33.622941 : Epoch  7, Batch    342, Loss  0.602342, Average Loss  0.604241, Time  0.221294
2021-09-21 20:14:35.091876 : Epoch  7, Batch    343, Loss  0.606214, Average Loss  0.604280, Time  0.221471
2021-09-21 20:14:36.576951 : Epoch  7, Batch    344, Loss  0.600100, Average Loss  0.604264, Time  0.221617
2021-09-21 20:14:38.042882 : Epoch  7, Batch    345, Loss  0.605995, Average Loss  0.604281, Time  0.221618
2021-09-21 20:14:39.513770 : Epoch  7, Batch    346, Loss  0.598693, Average Loss  0.604208, Time  0.221527
2021-09-21 20:14:40.985995 : Epoch  7, Batch    347, Loss  0.599549, Average Loss  0.604118, Time  0.221637
2021-09-21 20:14:42.448004 : Epoch  7, Batch    348, Loss  0.617161, Average Loss  0.604156, Time  0.221394
2021-09-21 20:14:46.279960 : Epoch  7, Batch    349, Loss  0.603558, Average Loss  0.604171, Time  0.255126
2021-09-21 20:14:47.747785 : Epoch  7, Batch    350, Loss  0.605532, Average Loss  0.604215, Time  0.221391
2021-09-21 20:14:49.215547 : Epoch  7, Batch    351, Loss  0.595610, Average Loss  0.604168, Time  0.221215
2021-09-21 20:14:50.672796 : Epoch  7, Batch    352, Loss  0.610767, Average Loss  0.604204, Time  0.221460
2021-09-21 20:14:52.141922 : Epoch  7, Batch    353, Loss  0.594842, Average Loss  0.604155, Time  0.220902
2021-09-21 20:14:53.610137 : Epoch  7, Batch    354, Loss  0.595464, Average Loss  0.604093, Time  0.221199
2021-09-21 20:14:55.079941 : Epoch  7, Batch    355, Loss  0.596043, Average Loss  0.604047, Time  0.220930
2021-09-21 20:14:56.548702 : Epoch  7, Batch    356, Loss  0.605853, Average Loss  0.604058, Time  0.221679
2021-09-21 20:14:58.012118 : Epoch  7, Batch    357, Loss  0.598823, Average Loss  0.604048, Time  0.221126
2021-09-21 20:14:59.477118 : Epoch  7, Batch    358, Loss  0.602234, Average Loss  0.604044, Time  0.221150
2021-09-21 20:15:00.944939 : Epoch  7, Batch    359, Loss  0.608164, Average Loss  0.604069, Time  0.222244
2021-09-21 20:15:02.425993 : Epoch  7, Batch    360, Loss  0.602114, Average Loss  0.604025, Time  0.221978
2021-09-21 20:15:03.901787 : Epoch  7, Batch    361, Loss  0.608119, Average Loss  0.604068, Time  0.222182
2021-09-21 20:15:05.375139 : Epoch  7, Batch    362, Loss  0.604682, Average Loss  0.604105, Time  0.221252
2021-09-21 20:15:06.861821 : Epoch  7, Batch    363, Loss  0.600873, Average Loss  0.604035, Time  0.221899
2021-09-21 20:15:06.992722 : Epoch  7, Batch    364, Loss  0.552009, Average Loss  0.603835, Time  0.088906
2021-09-21 20:15:08.459003 : Epoch  7, Batch    365, Loss  0.610474, Average Loss  0.603864, Time  0.221235
2021-09-21 20:15:09.920131 : Epoch  7, Batch    366, Loss  0.604578, Average Loss  0.603866, Time  0.221482
2021-09-21 20:15:11.388578 : Epoch  7, Batch    367, Loss  0.615008, Average Loss  0.603918, Time  0.221608
2021-09-21 20:15:12.856712 : Epoch  7, Batch    368, Loss  0.610013, Average Loss  0.603975, Time  0.221242
2021-09-21 20:15:14.321117 : Epoch  7, Batch    369, Loss  0.619664, Average Loss  0.604109, Time  0.221169
2021-09-21 20:15:15.781721 : Epoch  7, Batch    370, Loss  0.597150, Average Loss  0.604051, Time  0.221256
2021-09-21 20:15:17.267904 : Epoch  7, Batch    371, Loss  0.619606, Average Loss  0.604122, Time  0.221531
2021-09-21 20:15:18.727099 : Epoch  7, Batch    372, Loss  0.614434, Average Loss  0.604177, Time  0.221184
2021-09-21 20:15:20.193210 : Epoch  7, Batch    373, Loss  0.603151, Average Loss  0.604168, Time  0.221210
2021-09-21 20:15:21.662113 : Epoch  7, Batch    374, Loss  0.616379, Average Loss  0.604299, Time  0.221231
2021-09-21 20:15:23.121932 : Epoch  7, Batch    375, Loss  0.608503, Average Loss  0.604356, Time  0.221465
2021-09-21 20:15:24.575355 : Epoch  7, Batch    376, Loss  0.604059, Average Loss  0.604357, Time  0.221265
2021-09-21 20:15:26.043114 : Epoch  7, Batch    377, Loss  0.618634, Average Loss  0.604408, Time  0.221212
2021-09-21 20:15:27.506818 : Epoch  7, Batch    378, Loss  0.600117, Average Loss  0.604385, Time  0.221565
2021-09-21 20:16:22.401676 : CheckPoint: Validation Loss  0.00025588, Best Loss  0.00024129
2021-09-21 20:16:23.905931 : Epoch  7, Batch    379, Loss  0.603214, Average Loss  0.604400, Time  0.247320
2021-09-21 20:16:25.391740 : Epoch  7, Batch    380, Loss  0.594743, Average Loss  0.604360, Time  0.223041
2021-09-21 20:16:26.872717 : Epoch  7, Batch    381, Loss  0.603492, Average Loss  0.604365, Time  0.221188
2021-09-21 20:16:28.352922 : Epoch  7, Batch    382, Loss  0.609022, Average Loss  0.604409, Time  0.222187
2021-09-21 20:16:29.826934 : Epoch  7, Batch    383, Loss  0.607216, Average Loss  0.604370, Time  0.220938
2021-09-21 20:16:31.302890 : Epoch  7, Batch    384, Loss  0.606251, Average Loss  0.604386, Time  0.221503
2021-09-21 20:16:32.777861 : Epoch  7, Batch    385, Loss  0.602137, Average Loss  0.604401, Time  0.221184
2021-09-21 20:16:34.251930 : Epoch  7, Batch    386, Loss  0.616603, Average Loss  0.604388, Time  0.221430
2021-09-21 20:16:35.719117 : Epoch  7, Batch    387, Loss  0.606187, Average Loss  0.604449, Time  0.220926
2021-09-21 20:16:37.189930 : Epoch  7, Batch    388, Loss  0.608127, Average Loss  0.604512, Time  0.221424
2021-09-21 20:16:38.664926 : Epoch  7, Batch    389, Loss  0.611650, Average Loss  0.604517, Time  0.220917
2021-09-21 20:16:40.140931 : Epoch  7, Batch    390, Loss  0.598614, Average Loss  0.604435, Time  0.221063
2021-09-21 20:16:41.621153 : Epoch  7, Batch    391, Loss  0.612423, Average Loss  0.604478, Time  0.221619
2021-09-21 20:16:43.091246 : Epoch  7, Batch    392, Loss  0.604397, Average Loss  0.604496, Time  0.221354
2021-09-21 20:16:44.559136 : Epoch  7, Batch    393, Loss  0.609585, Average Loss  0.604464, Time  0.221310
2021-09-21 20:16:46.036997 : Epoch  7, Batch    394, Loss  0.609592, Average Loss  0.604486, Time  0.222393
2021-09-21 20:16:47.505877 : Epoch  7, Batch    395, Loss  0.602956, Average Loss  0.604511, Time  0.221352
2021-09-21 20:16:48.981987 : Epoch  7, Batch    396, Loss  0.610903, Average Loss  0.604551, Time  0.221520
2021-09-21 20:16:50.454886 : Epoch  7, Batch    397, Loss  0.603790, Average Loss  0.604540, Time  0.221705
2021-09-21 20:16:51.930929 : Epoch  7, Batch    398, Loss  0.597200, Average Loss  0.604486, Time  0.221256
2021-09-21 20:16:53.402918 : Epoch  7, Batch    399, Loss  0.607048, Average Loss  0.604508, Time  0.221200
2021-09-21 20:16:54.881108 : Epoch  7, Batch    400, Loss  0.605434, Average Loss  0.604576, Time  0.221945
2021-09-21 20:16:56.353128 : Epoch  7, Batch    401, Loss  0.601924, Average Loss  0.604629, Time  0.221166
2021-09-21 20:16:57.830965 : Epoch  7, Batch    402, Loss  0.606467, Average Loss  0.604660, Time  0.221631
2021-09-21 20:16:59.312884 : Epoch  7, Batch    403, Loss  0.610605, Average Loss  0.604652, Time  0.221557
2021-09-21 20:17:00.780114 : Epoch  7, Batch    404, Loss  0.606061, Average Loss  0.604676, Time  0.221184
2021-09-21 20:17:02.254799 : Epoch  7, Batch    405, Loss  0.605813, Average Loss  0.604676, Time  0.221213
2021-09-21 20:17:03.730319 : Epoch  7, Batch    406, Loss  0.599840, Average Loss  0.604681, Time  0.222759
2021-09-21 20:17:05.195973 : Epoch  7, Batch    407, Loss  0.605038, Average Loss  0.604714, Time  0.221161
2021-09-21 20:17:06.670116 : Epoch  7, Batch    408, Loss  0.594471, Average Loss  0.604650, Time  0.221527
2021-09-21 20:17:08.133120 : Epoch  7, Batch    409, Loss  0.601355, Average Loss  0.604656, Time  0.221074
2021-09-21 20:17:09.607077 : Epoch  7, Batch    410, Loss  0.597480, Average Loss  0.604605, Time  0.221787
2021-09-21 20:17:11.088184 : Epoch  7, Batch    411, Loss  0.612497, Average Loss  0.604651, Time  0.221220
2021-09-21 20:17:12.620701 : Epoch  7, Batch    412, Loss  0.592088, Average Loss  0.604583, Time  0.221385
2021-09-21 20:17:14.089552 : Epoch  7, Batch    413, Loss  0.595413, Average Loss  0.604592, Time  0.221530
2021-09-21 20:17:15.572919 : Epoch  7, Batch    414, Loss  0.609656, Average Loss  0.604610, Time  0.221653
2021-09-21 20:17:17.056693 : Epoch  7, Batch    415, Loss  0.604425, Average Loss  0.604674, Time  0.221591
2021-09-21 20:17:18.541724 : Epoch  7, Batch    416, Loss  0.597016, Average Loss  0.604638, Time  0.221456
2021-09-21 20:17:20.027692 : Epoch  7, Batch    417, Loss  0.617022, Average Loss  0.604661, Time  0.221699
2021-09-21 20:17:21.513812 : Epoch  7, Batch    418, Loss  0.612386, Average Loss  0.604660, Time  0.221613
2021-09-21 20:17:22.989953 : Epoch  7, Batch    419, Loss  0.609727, Average Loss  0.604706, Time  0.221834
2021-09-21 20:17:24.471058 : Epoch  7, Batch    420, Loss  0.602279, Average Loss  0.604721, Time  0.221718
2021-09-21 20:17:25.967055 : Epoch  7, Batch    421, Loss  0.603280, Average Loss  0.604694, Time  0.221347
2021-09-21 20:17:27.507936 : Epoch  7, Batch    422, Loss  0.602017, Average Loss  0.604653, Time  0.224050
2021-09-21 20:17:28.979810 : Epoch  7, Batch    423, Loss  0.606038, Average Loss  0.604684, Time  0.221171
2021-09-21 20:17:30.456776 : Epoch  7, Batch    424, Loss  0.597072, Average Loss  0.604604, Time  0.221069
2021-09-21 20:17:31.935986 : Epoch  7, Batch    425, Loss  0.620672, Average Loss  0.604623, Time  0.221240
2021-09-21 20:17:33.412716 : Epoch  7, Batch    426, Loss  0.593895, Average Loss  0.604573, Time  0.221188
2021-09-21 20:17:34.887734 : Epoch  7, Batch    427, Loss  0.600209, Average Loss  0.604607, Time  0.221454
2021-09-21 20:17:36.364795 : Epoch  7, Batch    428, Loss  0.611055, Average Loss  0.604632, Time  0.221633
2021-09-21 20:17:37.840143 : Epoch  7, Batch    429, Loss  0.608841, Average Loss  0.604617, Time  0.221031
2021-09-21 20:17:39.325870 : Epoch  7, Batch    430, Loss  0.612043, Average Loss  0.604656, Time  0.221496
2021-09-21 20:17:40.804992 : Epoch  7, Batch    431, Loss  0.601921, Average Loss  0.604624, Time  0.221716
2021-09-21 20:17:42.281937 : Epoch  7, Batch    432, Loss  0.602800, Average Loss  0.604599, Time  0.221205
2021-09-21 20:17:43.762802 : Epoch  7, Batch    433, Loss  0.610437, Average Loss  0.604682, Time  0.221331
2021-09-21 20:17:45.240742 : Epoch  7, Batch    434, Loss  0.594344, Average Loss  0.604586, Time  0.222204
2021-09-21 20:17:46.726016 : Epoch  7, Batch    435, Loss  0.601624, Average Loss  0.604523, Time  0.221898
2021-09-21 20:17:48.205912 : Epoch  7, Batch    436, Loss  0.604471, Average Loss  0.604508, Time  0.221262
2021-09-21 20:17:49.678983 : Epoch  7, Batch    437, Loss  0.593836, Average Loss  0.604542, Time  0.221419
2021-09-21 20:17:51.157678 : Epoch  7, Batch    438, Loss  0.600545, Average Loss  0.604567, Time  0.221352
2021-09-21 20:17:52.646947 : Epoch  7, Batch    439, Loss  0.601519, Average Loss  0.604554, Time  0.221360
2021-09-21 20:17:54.114131 : Epoch  7, Batch    440, Loss  0.594077, Average Loss  0.604494, Time  0.221305
2021-09-21 20:17:55.594017 : Epoch  7, Batch    441, Loss  0.604084, Average Loss  0.604491, Time  0.221874
2021-09-21 20:17:57.070695 : Epoch  7, Batch    442, Loss  0.602527, Average Loss  0.604479, Time  0.221219
2021-09-21 20:17:58.562667 : Epoch  7, Batch    443, Loss  0.604619, Average Loss  0.604474, Time  0.221401
2021-09-21 20:18:00.045723 : Epoch  7, Batch    444, Loss  0.608195, Average Loss  0.604527, Time  0.221312
2021-09-21 20:18:01.525931 : Epoch  7, Batch    445, Loss  0.593560, Average Loss  0.604482, Time  0.221413
2021-09-21 20:18:03.006975 : Epoch  7, Batch    446, Loss  0.591283, Average Loss  0.604422, Time  0.221570
2021-09-21 20:18:04.479700 : Epoch  7, Batch    447, Loss  0.605485, Average Loss  0.604467, Time  0.221316
2021-09-21 20:18:05.953702 : Epoch  7, Batch    448, Loss  0.593290, Average Loss  0.604422, Time  0.221554
2021-09-21 20:18:09.716906 : Epoch  7, Batch    449, Loss  0.616826, Average Loss  0.604449, Time  0.253021
2021-09-21 20:18:11.197689 : Epoch  7, Batch    450, Loss  0.597649, Average Loss  0.604434, Time  0.225549
2021-09-21 20:18:12.662186 : Epoch  7, Batch    451, Loss  0.592494, Average Loss  0.604397, Time  0.220946
2021-09-21 20:18:14.308743 : Epoch  7, Batch    452, Loss  0.601730, Average Loss  0.604356, Time  0.221369
2021-09-21 20:18:15.775213 : Epoch  7, Batch    453, Loss  0.602528, Average Loss  0.604258, Time  0.221091
2021-09-21 20:18:17.244685 : Epoch  7, Batch    454, Loss  0.612264, Average Loss  0.604255, Time  0.221592
2021-09-21 20:18:18.711206 : Epoch  7, Batch    455, Loss  0.598084, Average Loss  0.604161, Time  0.221061
2021-09-21 20:18:20.208697 : Epoch  7, Batch    456, Loss  0.598831, Average Loss  0.604084, Time  0.221365
2021-09-21 20:18:21.680697 : Epoch  7, Batch    457, Loss  0.602612, Average Loss  0.604068, Time  0.221571
2021-09-21 20:18:23.158917 : Epoch  7, Batch    458, Loss  0.612131, Average Loss  0.604080, Time  0.221241
2021-09-21 20:18:24.648997 : Epoch  7, Batch    459, Loss  0.587718, Average Loss  0.604038, Time  0.221386
2021-09-21 20:18:26.118033 : Epoch  7, Batch    460, Loss  0.596020, Average Loss  0.603966, Time  0.221076
2021-09-21 20:18:27.581975 : Epoch  7, Batch    461, Loss  0.599379, Average Loss  0.603973, Time  0.220995
2021-09-21 20:18:29.054754 : Epoch  7, Batch    462, Loss  0.610021, Average Loss  0.603961, Time  0.221118
2021-09-21 20:18:30.523839 : Epoch  7, Batch    463, Loss  0.609891, Average Loss  0.603981, Time  0.221084
2021-09-21 20:18:32.002793 : Epoch  7, Batch    464, Loss  0.611795, Average Loss  0.604051, Time  0.221508
2021-09-21 20:18:33.476724 : Epoch  7, Batch    465, Loss  0.592277, Average Loss  0.603941, Time  0.221324
2021-09-21 20:18:34.951924 : Epoch  7, Batch    466, Loss  0.608234, Average Loss  0.603952, Time  0.221356
2021-09-21 20:18:36.424746 : Epoch  7, Batch    467, Loss  0.591063, Average Loss  0.603975, Time  0.222038
2021-09-21 20:18:37.919220 : Epoch  7, Batch    468, Loss  0.601173, Average Loss  0.603960, Time  0.221297
2021-09-21 20:18:39.391677 : Epoch  7, Batch    469, Loss  0.591039, Average Loss  0.603885, Time  0.220957
2021-09-21 20:18:40.875936 : Epoch  7, Batch    470, Loss  0.598409, Average Loss  0.603825, Time  0.221823
2021-09-21 20:18:42.342777 : Epoch  7, Batch    471, Loss  0.594564, Average Loss  0.603845, Time  0.221023
2021-09-21 20:18:43.815741 : Epoch  7, Batch    472, Loss  0.594449, Average Loss  0.603821, Time  0.221636
2021-09-21 20:18:45.284998 : Epoch  7, Batch    473, Loss  0.606027, Average Loss  0.603829, Time  0.221215
2021-09-21 20:18:46.748199 : Epoch  7, Batch    474, Loss  0.605873, Average Loss  0.603792, Time  0.222289
2021-09-21 20:18:48.212843 : Epoch  7, Batch    475, Loss  0.593026, Average Loss  0.603790, Time  0.221098
2021-09-21 20:18:49.686242 : Epoch  7, Batch    476, Loss  0.608102, Average Loss  0.603768, Time  0.221342
2021-09-21 20:18:51.165679 : Epoch  7, Batch    477, Loss  0.622489, Average Loss  0.603908, Time  0.221041
2021-09-21 20:18:52.637930 : Epoch  7, Batch    478, Loss  0.613415, Average Loss  0.603991, Time  0.221342
2021-09-21 20:19:47.653566 : CheckPoint: Validation Loss  0.00024793, Best Loss  0.00024129
2021-09-21 20:19:49.131041 : Epoch  7, Batch    479, Loss  0.600080, Average Loss  0.603979, Time  0.221799
2021-09-21 20:19:50.598903 : Epoch  7, Batch    480, Loss  0.602738, Average Loss  0.603982, Time  0.221375
2021-09-21 20:19:52.070738 : Epoch  7, Batch    481, Loss  0.611344, Average Loss  0.604004, Time  0.221237
2021-09-21 20:19:53.550233 : Epoch  7, Batch    482, Loss  0.596986, Average Loss  0.603961, Time  0.222099
2021-09-21 20:19:55.306803 : Epoch  7, Batch    483, Loss  0.616272, Average Loss  0.604045, Time  0.221154
2021-09-21 20:19:56.774922 : Epoch  7, Batch    484, Loss  0.602417, Average Loss  0.603989, Time  0.221615
2021-09-21 20:19:58.244109 : Epoch  7, Batch    485, Loss  0.617034, Average Loss  0.604082, Time  0.221534
2021-09-21 20:19:59.708764 : Epoch  7, Batch    486, Loss  0.602473, Average Loss  0.604127, Time  0.221190
2021-09-21 20:20:01.186091 : Epoch  7, Batch    487, Loss  0.600427, Average Loss  0.604090, Time  0.221286
2021-09-21 20:20:02.657933 : Epoch  7, Batch    488, Loss  0.604223, Average Loss  0.604086, Time  0.221742
2021-09-21 20:20:04.123787 : Epoch  7, Batch    489, Loss  0.599544, Average Loss  0.604087, Time  0.221433
2021-09-21 20:20:05.596703 : Epoch  7, Batch    490, Loss  0.604659, Average Loss  0.604102, Time  0.221325
2021-09-21 20:20:07.067190 : Epoch  7, Batch    491, Loss  0.608695, Average Loss  0.604162, Time  0.221093
2021-09-21 20:20:08.527617 : Epoch  7, Batch    492, Loss  0.590557, Average Loss  0.604036, Time  0.225497
2021-09-21 20:20:09.991743 : Epoch  7, Batch    493, Loss  0.603956, Average Loss  0.604113, Time  0.221207
2021-09-21 20:20:11.457192 : Epoch  7, Batch    494, Loss  0.609285, Average Loss  0.604139, Time  0.221193
2021-09-21 20:20:12.922064 : Epoch  7, Batch    495, Loss  0.609495, Average Loss  0.604180, Time  0.221496
2021-09-21 20:20:14.383988 : Epoch  7, Batch    496, Loss  0.604166, Average Loss  0.604161, Time  0.221448
2021-09-21 20:20:15.855838 : Epoch  7, Batch    497, Loss  0.609637, Average Loss  0.604205, Time  0.221563
2021-09-21 20:20:17.332228 : Epoch  7, Batch    498, Loss  0.612478, Average Loss  0.604232, Time  0.221473
2021-09-21 20:20:18.800195 : Epoch  7, Batch    499, Loss  0.602069, Average Loss  0.604245, Time  0.221372
2021-09-21 20:20:20.272925 : Epoch  7, Batch    500, Loss  0.595117, Average Loss  0.604111, Time  0.221288
2021-09-21 20:20:21.734027 : Epoch  7, Batch    501, Loss  0.600257, Average Loss  0.604116, Time  0.221152
2021-09-21 20:20:23.204693 : Epoch  7, Batch    502, Loss  0.597411, Average Loss  0.604103, Time  0.221070
2021-09-21 20:20:24.678723 : Epoch  7, Batch    503, Loss  0.602883, Average Loss  0.604128, Time  0.221850
2021-09-21 20:20:26.143717 : Epoch  7, Batch    504, Loss  0.607617, Average Loss  0.604222, Time  0.221182
2021-09-21 20:20:27.616941 : Epoch  7, Batch    505, Loss  0.616220, Average Loss  0.604294, Time  0.221686
2021-09-21 20:20:29.086037 : Epoch  7, Batch    506, Loss  0.609638, Average Loss  0.604335, Time  0.222284
2021-09-21 20:20:30.552857 : Epoch  7, Batch    507, Loss  0.610628, Average Loss  0.604338, Time  0.221154
2021-09-21 20:20:32.023070 : Epoch  7, Batch    508, Loss  0.606390, Average Loss  0.604300, Time  0.221179
2021-09-21 20:20:33.487943 : Epoch  7, Batch    509, Loss  0.612183, Average Loss  0.604286, Time  0.221245
2021-09-21 20:20:34.952861 : Epoch  7, Batch    510, Loss  0.594516, Average Loss  0.604246, Time  0.221370
2021-09-21 20:20:36.415049 : Epoch  7, Batch    511, Loss  0.599778, Average Loss  0.604187, Time  0.221337
2021-09-21 20:20:37.870069 : Epoch  7, Batch    512, Loss  0.615000, Average Loss  0.604227, Time  0.221276
2021-09-21 20:20:39.334845 : Epoch  7, Batch    513, Loss  0.611365, Average Loss  0.604216, Time  0.221171
2021-09-21 20:20:40.794738 : Epoch  7, Batch    514, Loss  0.599572, Average Loss  0.604206, Time  0.221240
2021-09-21 20:20:42.254098 : Epoch  7, Batch    515, Loss  0.605329, Average Loss  0.604286, Time  0.221050
2021-09-21 20:20:43.710876 : Epoch  7, Batch    516, Loss  0.601519, Average Loss  0.604213, Time  0.221335
2021-09-21 20:20:45.171971 : Epoch  7, Batch    517, Loss  0.606861, Average Loss  0.604261, Time  0.221455
2021-09-21 20:20:46.632312 : Epoch  7, Batch    518, Loss  0.603810, Average Loss  0.604277, Time  0.221596
2021-09-21 20:20:48.088707 : Epoch  7, Batch    519, Loss  0.612912, Average Loss  0.604298, Time  0.221569
2021-09-21 20:20:49.552065 : Epoch  7, Batch    520, Loss  0.596530, Average Loss  0.604251, Time  0.221546
2021-09-21 20:20:51.006918 : Epoch  7, Batch    521, Loss  0.598659, Average Loss  0.604166, Time  0.221249
2021-09-21 20:20:52.463604 : Epoch  7, Batch    522, Loss  0.610462, Average Loss  0.604176, Time  0.221470
2021-09-21 20:20:53.926036 : Epoch  7, Batch    523, Loss  0.610830, Average Loss  0.604232, Time  0.221402
2021-09-21 20:20:55.389084 : Epoch  7, Batch    524, Loss  0.618430, Average Loss  0.604273, Time  0.221231
2021-09-21 20:20:56.840964 : Epoch  7, Batch    525, Loss  0.607033, Average Loss  0.604272, Time  0.221347
2021-09-21 20:20:58.308177 : Epoch  7, Batch    526, Loss  0.601606, Average Loss  0.604201, Time  0.221629
2021-09-21 20:20:59.772695 : Epoch  7, Batch    527, Loss  0.601394, Average Loss  0.604206, Time  0.221409
2021-09-21 20:21:01.235722 : Epoch  7, Batch    528, Loss  0.599726, Average Loss  0.604169, Time  0.221520
2021-09-21 20:21:02.692782 : Epoch  7, Batch    529, Loss  0.619597, Average Loss  0.604228, Time  0.221323
2021-09-21 20:21:04.148168 : Epoch  7, Batch    530, Loss  0.608818, Average Loss  0.604239, Time  0.221278
2021-09-21 20:21:05.603989 : Epoch  7, Batch    531, Loss  0.605760, Average Loss  0.604214, Time  0.221150
2021-09-21 20:21:07.058257 : Epoch  7, Batch    532, Loss  0.598861, Average Loss  0.604175, Time  0.221300
2021-09-21 20:21:08.517940 : Epoch  7, Batch    533, Loss  0.598901, Average Loss  0.604151, Time  0.221267
2021-09-21 20:21:09.978981 : Epoch  7, Batch    534, Loss  0.613616, Average Loss  0.604207, Time  0.221315
2021-09-21 20:21:11.442171 : Epoch  7, Batch    535, Loss  0.606831, Average Loss  0.604244, Time  0.221256
2021-09-21 20:21:12.905177 : Epoch  7, Batch    536, Loss  0.589765, Average Loss  0.604185, Time  0.221457
2021-09-21 20:21:14.394926 : Epoch  7, Batch    537, Loss  0.584392, Average Loss  0.604156, Time  0.221308
2021-09-21 20:21:15.856711 : Epoch  7, Batch    538, Loss  0.606253, Average Loss  0.604148, Time  0.221111
2021-09-21 20:21:17.321714 : Epoch  7, Batch    539, Loss  0.605896, Average Loss  0.604191, Time  0.221596
2021-09-21 20:21:18.783967 : Epoch  7, Batch    540, Loss  0.605042, Average Loss  0.604142, Time  0.221720
2021-09-21 20:21:20.242960 : Epoch  7, Batch    541, Loss  0.599446, Average Loss  0.604040, Time  0.221044
2021-09-21 20:21:21.700962 : Epoch  7, Batch    542, Loss  0.607467, Average Loss  0.604065, Time  0.221506
2021-09-21 20:21:23.163939 : Epoch  7, Batch    543, Loss  0.580593, Average Loss  0.603937, Time  0.221903
2021-09-21 20:21:24.625144 : Epoch  7, Batch    544, Loss  0.619772, Average Loss  0.604035, Time  0.221472
2021-09-21 20:21:26.091811 : Epoch  7, Batch    545, Loss  0.589790, Average Loss  0.603954, Time  0.221441
2021-09-21 20:21:27.547985 : Epoch  7, Batch    546, Loss  0.598088, Average Loss  0.603951, Time  0.221292
2021-09-21 20:21:29.003962 : Epoch  7, Batch    547, Loss  0.610122, Average Loss  0.604004, Time  0.221086
2021-09-21 20:21:30.449012 : Epoch  7, Batch    548, Loss  0.585386, Average Loss  0.603845, Time  0.221177
2021-09-21 20:21:34.234152 : Epoch  7, Batch    549, Loss  0.604637, Average Loss  0.603851, Time  0.253298
2021-09-21 20:21:35.686406 : Epoch  7, Batch    550, Loss  0.595566, Average Loss  0.603801, Time  0.226352
2021-09-21 20:21:37.143009 : Epoch  7, Batch    551, Loss  0.605161, Average Loss  0.603849, Time  0.221232
2021-09-21 20:21:38.610734 : Epoch  7, Batch    552, Loss  0.602782, Average Loss  0.603809, Time  0.221621
2021-09-21 20:21:40.056037 : Epoch  7, Batch    553, Loss  0.600499, Average Loss  0.603837, Time  0.221146
2021-09-21 20:21:41.505145 : Epoch  7, Batch    554, Loss  0.599468, Average Loss  0.603857, Time  0.220902
2021-09-21 20:21:42.958924 : Epoch  7, Batch    555, Loss  0.604110, Average Loss  0.603897, Time  0.221137
2021-09-21 20:21:44.405931 : Epoch  7, Batch    556, Loss  0.609907, Average Loss  0.603918, Time  0.220968
2021-09-21 20:21:45.853083 : Epoch  7, Batch    557, Loss  0.609896, Average Loss  0.603973, Time  0.221025
2021-09-21 20:21:47.296162 : Epoch  7, Batch    558, Loss  0.612229, Average Loss  0.604023, Time  0.221475
2021-09-21 20:21:48.750938 : Epoch  7, Batch    559, Loss  0.607899, Average Loss  0.604022, Time  0.220940
2021-09-21 20:21:50.199948 : Epoch  7, Batch    560, Loss  0.590116, Average Loss  0.603962, Time  0.221460
2021-09-21 20:21:51.670916 : Epoch  7, Batch    561, Loss  0.600206, Average Loss  0.603922, Time  0.221197
2021-09-21 20:21:53.126832 : Epoch  7, Batch    562, Loss  0.606935, Average Loss  0.603933, Time  0.221107
2021-09-21 20:21:54.584961 : Epoch  7, Batch    563, Loss  0.603540, Average Loss  0.603947, Time  0.221072
2021-09-21 20:21:56.042009 : Epoch  7, Batch    564, Loss  0.607801, Average Loss  0.604226, Time  0.221424
2021-09-21 20:21:57.504873 : Epoch  7, Batch    565, Loss  0.611533, Average Loss  0.604231, Time  0.221468
2021-09-21 20:21:58.981096 : Epoch  7, Batch    566, Loss  0.602723, Average Loss  0.604222, Time  0.221427
2021-09-21 20:22:00.441860 : Epoch  7, Batch    567, Loss  0.593295, Average Loss  0.604113, Time  0.221566
2021-09-21 20:22:01.896837 : Epoch  7, Batch    568, Loss  0.601713, Average Loss  0.604072, Time  0.221184
2021-09-21 20:22:03.359705 : Epoch  7, Batch    569, Loss  0.613792, Average Loss  0.604042, Time  0.221087
2021-09-21 20:22:04.832867 : Epoch  7, Batch    570, Loss  0.594543, Average Loss  0.604029, Time  0.221405
2021-09-21 20:22:06.284948 : Epoch  7, Batch    571, Loss  0.602653, Average Loss  0.603944, Time  0.221092
2021-09-21 20:22:07.745883 : Epoch  7, Batch    572, Loss  0.605638, Average Loss  0.603900, Time  0.221603
2021-09-21 20:22:09.206707 : Epoch  7, Batch    573, Loss  0.605084, Average Loss  0.603910, Time  0.221039
2021-09-21 20:22:10.671940 : Epoch  7, Batch    574, Loss  0.598800, Average Loss  0.603822, Time  0.221287
2021-09-21 20:22:12.140838 : Epoch  7, Batch    575, Loss  0.609990, Average Loss  0.603830, Time  0.221014
2021-09-21 20:22:13.633975 : Epoch  7, Batch    576, Loss  0.595234, Average Loss  0.603786, Time  0.222014
2021-09-21 20:22:15.086912 : Epoch  7, Batch    577, Loss  0.593662, Average Loss  0.603661, Time  0.220929
2021-09-21 20:22:16.545028 : Epoch  7, Batch    578, Loss  0.603427, Average Loss  0.603677, Time  0.221142
2021-09-21 20:23:11.316677 : CheckPoint: Validation Loss  0.00024750, Best Loss  0.00024129
2021-09-21 20:23:12.788788 : Epoch  7, Batch    579, Loss  0.602673, Average Loss  0.603675, Time  0.221697
2021-09-21 20:23:14.253900 : Epoch  7, Batch    580, Loss  0.592538, Average Loss  0.603663, Time  0.221370
2021-09-21 20:23:15.709930 : Epoch  7, Batch    581, Loss  0.614220, Average Loss  0.603717, Time  0.221071
2021-09-21 20:23:17.172744 : Epoch  7, Batch    582, Loss  0.596011, Average Loss  0.603652, Time  0.221228
2021-09-21 20:23:18.626038 : Epoch  7, Batch    583, Loss  0.600412, Average Loss  0.603618, Time  0.221170
2021-09-21 20:23:20.086798 : Epoch  7, Batch    584, Loss  0.598940, Average Loss  0.603581, Time  0.221340
2021-09-21 20:23:21.549782 : Epoch  7, Batch    585, Loss  0.609930, Average Loss  0.603620, Time  0.221276
2021-09-21 20:23:23.006195 : Epoch  7, Batch    586, Loss  0.596600, Average Loss  0.603520, Time  0.221256
2021-09-21 20:23:24.461808 : Epoch  7, Batch    587, Loss  0.604800, Average Loss  0.603514, Time  0.221681
2021-09-21 20:23:25.929926 : Epoch  7, Batch    588, Loss  0.611317, Average Loss  0.603529, Time  0.221624
2021-09-21 20:23:27.386766 : Epoch  7, Batch    589, Loss  0.603981, Average Loss  0.603491, Time  0.221266
2021-09-21 20:23:28.871129 : Epoch  7, Batch    590, Loss  0.607333, Average Loss  0.603535, Time  0.221453
2021-09-21 20:23:30.322106 : Epoch  7, Batch    591, Loss  0.607740, Average Loss  0.603511, Time  0.220839
2021-09-21 20:23:31.782698 : Epoch  7, Batch    592, Loss  0.594084, Average Loss  0.603460, Time  0.221575
2021-09-21 20:23:33.252901 : Epoch  7, Batch    593, Loss  0.601245, Average Loss  0.603418, Time  0.221717
2021-09-21 20:23:34.727115 : Epoch  7, Batch    594, Loss  0.595468, Average Loss  0.603347, Time  0.221030
2021-09-21 20:23:36.187105 : Epoch  7, Batch    595, Loss  0.602093, Average Loss  0.603343, Time  0.221033
2021-09-21 20:23:37.647482 : Epoch  7, Batch    596, Loss  0.602289, Average Loss  0.603300, Time  0.221788
2021-09-21 20:23:39.099117 : Epoch  7, Batch    597, Loss  0.606957, Average Loss  0.603316, Time  0.220883
2021-09-21 20:23:40.565164 : Epoch  7, Batch    598, Loss  0.602704, Average Loss  0.603343, Time  0.221784
2021-09-21 20:23:42.029721 : Epoch  7, Batch    599, Loss  0.601478, Average Loss  0.603316, Time  0.221192
2021-09-21 20:23:43.491923 : Epoch  7, Batch    600, Loss  0.608681, Average Loss  0.603332, Time  0.221204
2021-09-21 20:23:44.949134 : Epoch  7, Batch    601, Loss  0.596683, Average Loss  0.603306, Time  0.221460
2021-09-21 20:23:46.403876 : Epoch  7, Batch    602, Loss  0.593298, Average Loss  0.603240, Time  0.221412
2021-09-21 20:23:47.873123 : Epoch  7, Batch    603, Loss  0.604102, Average Loss  0.603207, Time  0.220950
2021-09-21 20:23:49.343106 : Epoch  7, Batch    604, Loss  0.613875, Average Loss  0.603246, Time  0.221453
2021-09-21 20:23:50.796229 : Epoch  7, Batch    605, Loss  0.614798, Average Loss  0.603291, Time  0.220913
2021-09-21 20:23:52.258124 : Epoch  7, Batch    606, Loss  0.597333, Average Loss  0.603279, Time  0.221339
2021-09-21 20:23:53.744114 : Epoch  7, Batch    607, Loss  0.612942, Average Loss  0.603318, Time  0.221055
2021-09-21 20:23:55.200380 : Epoch  7, Batch    608, Loss  0.605164, Average Loss  0.603372, Time  0.221293
2021-09-21 20:23:56.666013 : Epoch  7, Batch    609, Loss  0.601034, Average Loss  0.603370, Time  0.224104
2021-09-21 20:23:58.203764 : Epoch  7, Batch    610, Loss  0.588732, Average Loss  0.603326, Time  0.222282
2021-09-21 20:23:59.671894 : Epoch  7, Batch    611, Loss  0.603070, Average Loss  0.603279, Time  0.221122
2021-09-21 20:24:01.135968 : Epoch  7, Batch    612, Loss  0.606845, Average Loss  0.603353, Time  0.221892
2021-09-21 20:24:02.593894 : Epoch  7, Batch    613, Loss  0.603306, Average Loss  0.603392, Time  0.221076
2021-09-21 20:24:04.084819 : Epoch  7, Batch    614, Loss  0.603205, Average Loss  0.603360, Time  0.221426
2021-09-21 20:24:05.762131 : Epoch  7, Batch    615, Loss  0.622404, Average Loss  0.603450, Time  0.221260
2021-09-21 20:24:07.217297 : Epoch  7, Batch    616, Loss  0.603623, Average Loss  0.603483, Time  0.222105
2021-09-21 20:24:08.671901 : Epoch  7, Batch    617, Loss  0.603150, Average Loss  0.603414, Time  0.221390
2021-09-21 20:24:10.137925 : Epoch  7, Batch    618, Loss  0.603945, Average Loss  0.603372, Time  0.221499
2021-09-21 20:24:11.598722 : Epoch  7, Batch    619, Loss  0.608957, Average Loss  0.603368, Time  0.221181
2021-09-21 20:24:13.057771 : Epoch  7, Batch    620, Loss  0.599598, Average Loss  0.603354, Time  0.221353
2021-09-21 20:24:14.516693 : Epoch  7, Batch    621, Loss  0.608061, Average Loss  0.603378, Time  0.222529
2021-09-21 20:24:15.978174 : Epoch  7, Batch    622, Loss  0.613641, Average Loss  0.603436, Time  0.221367
2021-09-21 20:24:17.434684 : Epoch  7, Batch    623, Loss  0.627683, Average Loss  0.603545, Time  0.221256
2021-09-21 20:24:18.895887 : Epoch  7, Batch    624, Loss  0.599353, Average Loss  0.603556, Time  0.221255
2021-09-21 20:24:20.359883 : Epoch  7, Batch    625, Loss  0.590389, Average Loss  0.603405, Time  0.221906
2021-09-21 20:24:21.815704 : Epoch  7, Batch    626, Loss  0.602704, Average Loss  0.603449, Time  0.221457
2021-09-21 20:24:23.270786 : Epoch  7, Batch    627, Loss  0.595269, Average Loss  0.603424, Time  0.220984
2021-09-21 20:24:24.726868 : Epoch  7, Batch    628, Loss  0.602131, Average Loss  0.603379, Time  0.221407
2021-09-21 20:24:26.197699 : Epoch  7, Batch    629, Loss  0.601454, Average Loss  0.603342, Time  0.221010
2021-09-21 20:24:27.653115 : Epoch  7, Batch    630, Loss  0.592303, Average Loss  0.603244, Time  0.221350
2021-09-21 20:24:29.112884 : Epoch  7, Batch    631, Loss  0.601746, Average Loss  0.603243, Time  0.221502
2021-09-21 20:24:30.577118 : Epoch  7, Batch    632, Loss  0.608790, Average Loss  0.603273, Time  0.221605
2021-09-21 20:24:32.039772 : Epoch  7, Batch    633, Loss  0.602235, Average Loss  0.603232, Time  0.221166
2021-09-21 20:24:33.502155 : Epoch  7, Batch    634, Loss  0.594523, Average Loss  0.603233, Time  0.221396
2021-09-21 20:24:34.992343 : Epoch  7, Batch    635, Loss  0.611332, Average Loss  0.603281, Time  0.221586
2021-09-21 20:24:36.445956 : Epoch  7, Batch    636, Loss  0.596761, Average Loss  0.603243, Time  0.221548
2021-09-21 20:24:37.900035 : Epoch  7, Batch    637, Loss  0.608768, Average Loss  0.603317, Time  0.221106
2021-09-21 20:24:39.357755 : Epoch  7, Batch    638, Loss  0.615741, Average Loss  0.603393, Time  0.221246
2021-09-21 20:24:40.817106 : Epoch  7, Batch    639, Loss  0.603057, Average Loss  0.603401, Time  0.221073
2021-09-21 20:24:42.271011 : Epoch  7, Batch    640, Loss  0.604463, Average Loss  0.603453, Time  0.221527
2021-09-21 20:24:43.733934 : Epoch  7, Batch    641, Loss  0.601082, Average Loss  0.603438, Time  0.221003
2021-09-21 20:24:45.197870 : Epoch  7, Batch    642, Loss  0.610623, Average Loss  0.603478, Time  0.221308
2021-09-21 20:24:46.662916 : Epoch  7, Batch    643, Loss  0.606802, Average Loss  0.603489, Time  0.220934
2021-09-21 20:24:48.121046 : Epoch  7, Batch    644, Loss  0.597160, Average Loss  0.603434, Time  0.221238
2021-09-21 20:24:49.576888 : Epoch  7, Batch    645, Loss  0.586729, Average Loss  0.603400, Time  0.221065
2021-09-21 20:24:51.034710 : Epoch  7, Batch    646, Loss  0.607246, Average Loss  0.603480, Time  0.221196
2021-09-21 20:24:52.500911 : Epoch  7, Batch    647, Loss  0.594622, Average Loss  0.603425, Time  0.221989
2021-09-21 20:24:53.957871 : Epoch  7, Batch    648, Loss  0.601462, Average Loss  0.603466, Time  0.221572
2021-09-21 20:24:57.750709 : Epoch  7, Batch    649, Loss  0.591768, Average Loss  0.603341, Time  0.253240
2021-09-21 20:24:59.206650 : Epoch  7, Batch    650, Loss  0.602959, Average Loss  0.603368, Time  0.226500
2021-09-21 20:25:00.664024 : Epoch  7, Batch    651, Loss  0.598715, Average Loss  0.603399, Time  0.221594
2021-09-21 20:25:02.121767 : Epoch  7, Batch    652, Loss  0.600516, Average Loss  0.603393, Time  0.221260
2021-09-21 20:25:03.574158 : Epoch  7, Batch    653, Loss  0.608028, Average Loss  0.603420, Time  0.221757
2021-09-21 20:25:05.033714 : Epoch  7, Batch    654, Loss  0.606202, Average Loss  0.603390, Time  0.222013
2021-09-21 20:25:06.498881 : Epoch  7, Batch    655, Loss  0.607588, Average Loss  0.603437, Time  0.221760
2021-09-21 20:25:07.974762 : Epoch  7, Batch    656, Loss  0.602442, Average Loss  0.603455, Time  0.221361
2021-09-21 20:25:09.426926 : Epoch  7, Batch    657, Loss  0.593738, Average Loss  0.603411, Time  0.221166
2021-09-21 20:25:10.881925 : Epoch  7, Batch    658, Loss  0.591755, Average Loss  0.603309, Time  0.221380
2021-09-21 20:25:12.333726 : Epoch  7, Batch    659, Loss  0.602791, Average Loss  0.603384, Time  0.221049
2021-09-21 20:25:13.782879 : Epoch  7, Batch    660, Loss  0.608024, Average Loss  0.603444, Time  0.221444
2021-09-21 20:25:15.232262 : Epoch  7, Batch    661, Loss  0.615005, Average Loss  0.603523, Time  0.221390
2021-09-21 20:25:16.697691 : Epoch  7, Batch    662, Loss  0.587704, Average Loss  0.603411, Time  0.221759
2021-09-21 20:25:18.182892 : Epoch  7, Batch    663, Loss  0.592557, Average Loss  0.603324, Time  0.221092
2021-09-21 20:25:19.643121 : Epoch  7, Batch    664, Loss  0.601124, Average Loss  0.603271, Time  0.221340
2021-09-21 20:25:21.097961 : Epoch  7, Batch    665, Loss  0.613390, Average Loss  0.603377, Time  0.221477
2021-09-21 20:25:22.553105 : Epoch  7, Batch    666, Loss  0.605168, Average Loss  0.603361, Time  0.221165
2021-09-21 20:25:24.012731 : Epoch  7, Batch    667, Loss  0.605739, Average Loss  0.603435, Time  0.221071
2021-09-21 20:25:25.478967 : Epoch  7, Batch    668, Loss  0.605686, Average Loss  0.603457, Time  0.221480
2021-09-21 20:25:26.933775 : Epoch  7, Batch    669, Loss  0.618319, Average Loss  0.603594, Time  0.220981
2021-09-21 20:25:28.401782 : Epoch  7, Batch    670, Loss  0.599586, Average Loss  0.603599, Time  0.221783
2021-09-21 20:25:29.870982 : Epoch  7, Batch    671, Loss  0.612326, Average Loss  0.603688, Time  0.221124
2021-09-21 20:25:31.326153 : Epoch  7, Batch    672, Loss  0.600662, Average Loss  0.603719, Time  0.221489
2021-09-21 20:25:32.790888 : Epoch  7, Batch    673, Loss  0.586507, Average Loss  0.603622, Time  0.221260
2021-09-21 20:25:34.255934 : Epoch  7, Batch    674, Loss  0.593903, Average Loss  0.603562, Time  0.221222
2021-09-21 20:25:35.710940 : Epoch  7, Batch    675, Loss  0.608132, Average Loss  0.603637, Time  0.221386
2021-09-21 20:25:37.169124 : Epoch  7, Batch    676, Loss  0.599122, Average Loss  0.603592, Time  0.221460
2021-09-21 20:25:38.633126 : Epoch  7, Batch    677, Loss  0.601989, Average Loss  0.603490, Time  0.221007
2021-09-21 20:25:40.085128 : Epoch  7, Batch    678, Loss  0.606420, Average Loss  0.603455, Time  0.221630
2021-09-21 20:26:35.093232 : CheckPoint: Validation Loss  0.00024979, Best Loss  0.00024129
2021-09-21 20:26:36.560971 : Epoch  7, Batch    679, Loss  0.603878, Average Loss  0.603474, Time  0.222093
2021-09-21 20:26:38.015901 : Epoch  7, Batch    680, Loss  0.596705, Average Loss  0.603444, Time  0.221051
2021-09-21 20:26:39.473954 : Epoch  7, Batch    681, Loss  0.602353, Average Loss  0.603399, Time  0.221582
2021-09-21 20:26:40.944803 : Epoch  7, Batch    682, Loss  0.597429, Average Loss  0.603401, Time  0.221829
2021-09-21 20:26:42.408868 : Epoch  7, Batch    683, Loss  0.607994, Average Loss  0.603360, Time  0.221287
2021-09-21 20:26:43.868025 : Epoch  7, Batch    684, Loss  0.601637, Average Loss  0.603356, Time  0.221451
2021-09-21 20:26:45.321823 : Epoch  7, Batch    685, Loss  0.606516, Average Loss  0.603303, Time  0.221282
2021-09-21 20:26:46.779744 : Epoch  7, Batch    686, Loss  0.607230, Average Loss  0.603327, Time  0.221290
2021-09-21 20:26:48.236902 : Epoch  7, Batch    687, Loss  0.598770, Average Loss  0.603319, Time  0.220973
2021-09-21 20:26:49.694908 : Epoch  7, Batch    688, Loss  0.582025, Average Loss  0.603208, Time  0.221174
2021-09-21 20:26:51.162720 : Epoch  7, Batch    689, Loss  0.604872, Average Loss  0.603234, Time  0.222675
2021-09-21 20:26:52.622120 : Epoch  7, Batch    690, Loss  0.605315, Average Loss  0.603238, Time  0.221464
2021-09-21 20:26:54.072211 : Epoch  7, Batch    691, Loss  0.598466, Average Loss  0.603186, Time  0.221494
2021-09-21 20:26:55.563271 : Epoch  7, Batch    692, Loss  0.587378, Average Loss  0.603171, Time  0.221318
2021-09-21 20:26:57.010687 : Epoch  7, Batch    693, Loss  0.594103, Average Loss  0.603121, Time  0.221299
2021-09-21 20:26:58.468867 : Epoch  7, Batch    694, Loss  0.603875, Average Loss  0.603094, Time  0.221353
2021-09-21 20:26:59.920982 : Epoch  7, Batch    695, Loss  0.598088, Average Loss  0.603037, Time  0.221230
2021-09-21 20:27:01.371172 : Epoch  7, Batch    696, Loss  0.587799, Average Loss  0.602955, Time  0.221673
2021-09-21 20:27:02.828927 : Epoch  7, Batch    697, Loss  0.606043, Average Loss  0.602937, Time  0.221138
2021-09-21 20:27:04.295907 : Epoch  7, Batch    698, Loss  0.605619, Average Loss  0.602903, Time  0.221040
2021-09-21 20:27:05.752916 : Epoch  7, Batch    699, Loss  0.595090, Average Loss  0.602868, Time  0.221533
2021-09-21 20:27:07.206695 : Epoch  7, Batch    700, Loss  0.601676, Average Loss  0.602901, Time  0.221455
2021-09-21 20:27:08.690354 : Epoch  7, Batch    701, Loss  0.594312, Average Loss  0.602871, Time  0.221205
2021-09-21 20:27:10.158738 : Epoch  7, Batch    702, Loss  0.595560, Average Loss  0.602862, Time  0.221828
2021-09-21 20:27:11.613971 : Epoch  7, Batch    703, Loss  0.600493, Average Loss  0.602850, Time  0.221267
2021-09-21 20:27:13.062090 : Epoch  7, Batch    704, Loss  0.606964, Average Loss  0.602847, Time  0.221229
2021-09-21 20:27:14.519462 : Epoch  7, Batch    705, Loss  0.598775, Average Loss  0.602760, Time  0.221402
2021-09-21 20:27:16.011708 : Epoch  7, Batch    706, Loss  0.591278, Average Loss  0.602668, Time  0.221571
2021-09-21 20:27:17.475937 : Epoch  7, Batch    707, Loss  0.605791, Average Loss  0.602644, Time  0.221802
2021-09-21 20:27:18.926950 : Epoch  7, Batch    708, Loss  0.609333, Average Loss  0.602658, Time  0.221583
2021-09-21 20:27:20.390108 : Epoch  7, Batch    709, Loss  0.608575, Average Loss  0.602640, Time  0.221085
2021-09-21 20:27:21.852871 : Epoch  7, Batch    710, Loss  0.607372, Average Loss  0.602705, Time  0.221123
2021-09-21 20:27:23.308554 : Epoch  7, Batch    711, Loss  0.595457, Average Loss  0.602683, Time  0.221336
2021-09-21 20:27:24.766180 : Epoch  7, Batch    712, Loss  0.608132, Average Loss  0.602649, Time  0.221638
2021-09-21 20:27:26.230921 : Epoch  7, Batch    713, Loss  0.603803, Average Loss  0.602611, Time  0.221239
2021-09-21 20:27:27.689103 : Epoch  7, Batch    714, Loss  0.602561, Average Loss  0.602626, Time  0.221032
2021-09-21 20:27:29.149940 : Epoch  7, Batch    715, Loss  0.603207, Average Loss  0.602615, Time  0.221205
2021-09-21 20:27:30.607798 : Epoch  7, Batch    716, Loss  0.599454, Average Loss  0.602605, Time  0.221935
2021-09-21 20:27:32.061907 : Epoch  7, Batch    717, Loss  0.600103, Average Loss  0.602571, Time  0.221054
2021-09-21 20:27:33.524964 : Epoch  7, Batch    718, Loss  0.614227, Average Loss  0.602623, Time  0.221223
2021-09-21 20:27:34.985801 : Epoch  7, Batch    719, Loss  0.609757, Average Loss  0.602607, Time  0.221620
2021-09-21 20:27:36.443144 : Epoch  7, Batch    720, Loss  0.608177, Average Loss  0.602666, Time  0.221312
2021-09-21 20:27:37.903732 : Epoch  7, Batch    721, Loss  0.603383, Average Loss  0.602689, Time  0.221177
2021-09-21 20:27:39.365805 : Epoch  7, Batch    722, Loss  0.598348, Average Loss  0.602629, Time  0.221231
2021-09-21 20:27:40.823814 : Epoch  7, Batch    723, Loss  0.603329, Average Loss  0.602591, Time  0.221343
2021-09-21 20:27:42.288033 : Epoch  7, Batch    724, Loss  0.601217, Average Loss  0.602505, Time  0.221159
2021-09-21 20:27:43.733168 : Epoch  7, Batch    725, Loss  0.592806, Average Loss  0.602434, Time  0.221338
2021-09-21 20:27:45.193127 : Epoch  7, Batch    726, Loss  0.607596, Average Loss  0.602464, Time  0.221346
2021-09-21 20:27:46.646112 : Epoch  7, Batch    727, Loss  0.599235, Average Loss  0.602453, Time  0.221121
2021-09-21 20:27:48.264956 : Epoch  7, Batch    728, Loss  0.607695, Average Loss  0.602493, Time  0.221621
2021-09-21 20:27:49.728917 : Epoch  7, Batch    729, Loss  0.601581, Average Loss  0.602403, Time  0.221325
2021-09-21 20:27:51.187026 : Epoch  7, Batch    730, Loss  0.604267, Average Loss  0.602380, Time  0.221333
2021-09-21 20:27:52.653963 : Epoch  7, Batch    731, Loss  0.601937, Average Loss  0.602361, Time  0.221334
2021-09-21 20:27:54.106696 : Epoch  7, Batch    732, Loss  0.604528, Average Loss  0.602389, Time  0.221059
2021-09-21 20:27:55.572868 : Epoch  7, Batch    733, Loss  0.606111, Average Loss  0.602425, Time  0.221636
2021-09-21 20:27:57.028017 : Epoch  7, Batch    734, Loss  0.604878, Average Loss  0.602382, Time  0.221143
2021-09-21 20:27:58.478908 : Epoch  7, Batch    735, Loss  0.599056, Average Loss  0.602343, Time  0.221247
2021-09-21 20:27:59.937822 : Epoch  7, Batch    736, Loss  0.610511, Average Loss  0.602447, Time  0.221663
2021-09-21 20:28:01.402907 : Epoch  7, Batch    737, Loss  0.611210, Average Loss  0.602581, Time  0.221266
2021-09-21 20:28:02.870959 : Epoch  7, Batch    738, Loss  0.610049, Average Loss  0.602600, Time  0.221218
2021-09-21 20:28:04.336940 : Epoch  7, Batch    739, Loss  0.587020, Average Loss  0.602505, Time  0.221820
2021-09-21 20:28:05.805721 : Epoch  7, Batch    740, Loss  0.596133, Average Loss  0.602461, Time  0.221253
2021-09-21 20:28:07.268690 : Epoch  7, Batch    741, Loss  0.598875, Average Loss  0.602458, Time  0.221617
2021-09-21 20:28:08.726897 : Epoch  7, Batch    742, Loss  0.608689, Average Loss  0.602464, Time  0.221397
2021-09-21 20:28:10.193785 : Epoch  7, Batch    743, Loss  0.603199, Average Loss  0.602577, Time  0.220934
2021-09-21 20:28:11.653683 : Epoch  7, Batch    744, Loss  0.599697, Average Loss  0.602477, Time  0.221121
2021-09-21 20:28:13.123687 : Epoch  7, Batch    745, Loss  0.608104, Average Loss  0.602568, Time  0.221210
2021-09-21 20:28:14.584890 : Epoch  7, Batch    746, Loss  0.603294, Average Loss  0.602594, Time  0.221297
2021-09-21 20:28:16.068720 : Epoch  7, Batch    747, Loss  0.595282, Average Loss  0.602520, Time  0.221815
2021-09-21 20:28:17.532932 : Epoch  7, Batch    748, Loss  0.599131, Average Loss  0.602589, Time  0.221132
2021-09-21 20:28:21.353742 : Epoch  7, Batch    749, Loss  0.598677, Average Loss  0.602559, Time  0.254439
2021-09-21 20:28:22.825013 : Epoch  7, Batch    750, Loss  0.605569, Average Loss  0.602609, Time  0.239785
2021-09-21 20:28:24.281763 : Epoch  7, Batch    751, Loss  0.607112, Average Loss  0.602619, Time  0.223034
2021-09-21 20:28:25.745260 : Epoch  7, Batch    752, Loss  0.615774, Average Loss  0.602684, Time  0.222119
2021-09-21 20:28:27.245711 : Epoch  7, Batch    753, Loss  0.600462, Average Loss  0.602683, Time  0.221001
2021-09-21 20:28:28.712164 : Epoch  7, Batch    754, Loss  0.604527, Average Loss  0.602709, Time  0.221144
2021-09-21 20:28:30.203194 : Epoch  7, Batch    755, Loss  0.595981, Average Loss  0.602668, Time  0.221902
2021-09-21 20:28:31.654990 : Epoch  7, Batch    756, Loss  0.607211, Average Loss  0.602655, Time  0.221286
2021-09-21 20:28:33.113694 : Epoch  7, Batch    757, Loss  0.596822, Average Loss  0.602589, Time  0.221352
2021-09-21 20:28:34.572634 : Epoch  7, Batch    758, Loss  0.590339, Average Loss  0.602480, Time  0.221406
2021-09-21 20:28:36.025773 : Epoch  7, Batch    759, Loss  0.608892, Average Loss  0.602485, Time  0.221165
2021-09-21 20:28:37.499793 : Epoch  7, Batch    760, Loss  0.602273, Average Loss  0.602546, Time  0.222119
2021-09-21 20:28:38.996947 : Epoch  7, Batch    761, Loss  0.598358, Average Loss  0.602536, Time  0.221987
2021-09-21 20:28:40.481348 : Epoch  7, Batch    762, Loss  0.600876, Average Loss  0.602506, Time  0.221092
2021-09-21 20:28:41.938801 : Epoch  7, Batch    763, Loss  0.596285, Average Loss  0.602470, Time  0.221500
2021-09-21 20:28:43.395938 : Epoch  7, Batch    764, Loss  0.605084, Average Loss  0.602456, Time  0.221280
2021-09-21 20:28:44.847857 : Epoch  7, Batch    765, Loss  0.608126, Average Loss  0.602439, Time  0.221226
2021-09-21 20:28:46.316699 : Epoch  7, Batch    766, Loss  0.598387, Average Loss  0.602417, Time  0.222316
2021-09-21 20:28:47.773707 : Epoch  7, Batch    767, Loss  0.607327, Average Loss  0.602488, Time  0.221770
2021-09-21 20:28:49.233736 : Epoch  7, Batch    768, Loss  0.588901, Average Loss  0.602424, Time  0.221527
2021-09-21 20:28:50.712747 : Epoch  7, Batch    769, Loss  0.610125, Average Loss  0.602405, Time  0.221507
2021-09-21 20:28:52.160692 : Epoch  7, Batch    770, Loss  0.609586, Average Loss  0.602480, Time  0.221251
2021-09-21 20:28:53.617693 : Epoch  7, Batch    771, Loss  0.606149, Average Loss  0.602498, Time  0.221492
2021-09-21 20:28:55.081696 : Epoch  7, Batch    772, Loss  0.601923, Average Loss  0.602479, Time  0.221352
2021-09-21 20:28:56.537882 : Epoch  7, Batch    773, Loss  0.599757, Average Loss  0.602453, Time  0.221199
2021-09-21 20:28:57.990601 : Epoch  7, Batch    774, Loss  0.609611, Average Loss  0.602507, Time  0.221487
2021-09-21 20:28:59.563928 : Epoch  7, Batch    775, Loss  0.608072, Average Loss  0.602497, Time  0.221098
2021-09-21 20:29:01.033997 : Epoch  7, Batch    776, Loss  0.608467, Average Loss  0.602563, Time  0.221321
2021-09-21 20:29:02.486952 : Epoch  7, Batch    777, Loss  0.610569, Average Loss  0.602648, Time  0.221006
2021-09-21 20:29:03.946112 : Epoch  7, Batch    778, Loss  0.603054, Average Loss  0.602646, Time  0.221168
2021-09-21 20:29:59.017680 : CheckPoint: Validation Loss  0.00025492, Best Loss  0.00024129
2021-09-21 20:30:00.500967 : Epoch  7, Batch    779, Loss  0.597079, Average Loss  0.602618, Time  0.233268
2021-09-21 20:30:01.964441 : Epoch  7, Batch    780, Loss  0.609314, Average Loss  0.602702, Time  0.224180
2021-09-21 20:30:03.431782 : Epoch  7, Batch    781, Loss  0.600325, Average Loss  0.602632, Time  0.221087
2021-09-21 20:30:04.913706 : Epoch  7, Batch    782, Loss  0.602963, Average Loss  0.602667, Time  0.221940
2021-09-21 20:30:06.374899 : Epoch  7, Batch    783, Loss  0.611140, Average Loss  0.602721, Time  0.221178
2021-09-21 20:30:07.828139 : Epoch  7, Batch    784, Loss  0.604871, Average Loss  0.602751, Time  0.221422
2021-09-21 20:30:09.290895 : Epoch  7, Batch    785, Loss  0.602524, Average Loss  0.602713, Time  0.221760
2021-09-21 20:30:10.755709 : Epoch  7, Batch    786, Loss  0.615643, Average Loss  0.602809, Time  0.221589
2021-09-21 20:30:12.211030 : Epoch  7, Batch    787, Loss  0.603619, Average Loss  0.602803, Time  0.221310
2021-09-21 20:30:12.238793 : Saving Model after 7-th Epoch.
2021-09-21 20:30:13.030829 : Epoch Finished.
2021-09-21 20:30:15.401598 : Batch Shuffled
2021-09-21 20:30:16.875921 : Epoch  8, Batch      1, Loss  0.606836, Average Loss  0.602780, Time  0.222623
2021-09-21 20:30:18.339003 : Epoch  8, Batch      2, Loss  0.589706, Average Loss  0.602709, Time  0.221329
2021-09-21 20:30:19.796144 : Epoch  8, Batch      3, Loss  0.605853, Average Loss  0.602702, Time  0.221500
2021-09-21 20:30:21.258843 : Epoch  8, Batch      4, Loss  0.605226, Average Loss  0.602689, Time  0.220964
2021-09-21 20:30:22.720740 : Epoch  8, Batch      5, Loss  0.603034, Average Loss  0.602734, Time  0.221402
2021-09-21 20:30:24.185940 : Epoch  8, Batch      6, Loss  0.618461, Average Loss  0.602820, Time  0.221125
2021-09-21 20:30:25.652957 : Epoch  8, Batch      7, Loss  0.608604, Average Loss  0.602886, Time  0.221237
2021-09-21 20:30:27.117820 : Epoch  8, Batch      8, Loss  0.598334, Average Loss  0.602867, Time  0.221175
2021-09-21 20:30:28.587092 : Epoch  8, Batch      9, Loss  0.610534, Average Loss  0.602908, Time  0.221421
2021-09-21 20:30:30.050988 : Epoch  8, Batch     10, Loss  0.601131, Average Loss  0.602879, Time  0.221411
2021-09-21 20:30:31.514859 : Epoch  8, Batch     11, Loss  0.596554, Average Loss  0.602848, Time  0.221505
2021-09-21 20:30:33.008982 : Epoch  8, Batch     12, Loss  0.593613, Average Loss  0.602809, Time  0.221069
2021-09-21 20:30:34.483353 : Epoch  8, Batch     13, Loss  0.604609, Average Loss  0.602788, Time  0.222225
2021-09-21 20:30:35.946030 : Epoch  8, Batch     14, Loss  0.600398, Average Loss  0.602807, Time  0.221345
2021-09-21 20:30:37.423178 : Epoch  8, Batch     15, Loss  0.603274, Average Loss  0.602857, Time  0.221322
2021-09-21 20:30:38.893738 : Epoch  8, Batch     16, Loss  0.612122, Average Loss  0.602897, Time  0.222517
2021-09-21 20:30:40.365165 : Epoch  8, Batch     17, Loss  0.609886, Average Loss  0.602877, Time  0.221226
2021-09-21 20:30:41.855755 : Epoch  8, Batch     18, Loss  0.597853, Average Loss  0.602792, Time  0.220871
2021-09-21 20:30:43.334143 : Epoch  8, Batch     19, Loss  0.606982, Average Loss  0.602841, Time  0.221745
2021-09-21 20:30:44.802441 : Epoch  8, Batch     20, Loss  0.608137, Average Loss  0.602816, Time  0.221808
2021-09-21 20:30:46.272922 : Epoch  8, Batch     21, Loss  0.611055, Average Loss  0.602846, Time  0.221912
2021-09-21 20:30:47.742847 : Epoch  8, Batch     22, Loss  0.596753, Average Loss  0.602825, Time  0.221237
2021-09-21 20:30:49.217139 : Epoch  8, Batch     23, Loss  0.616808, Average Loss  0.602965, Time  0.221328
2021-09-21 20:30:50.690724 : Epoch  8, Batch     24, Loss  0.607314, Average Loss  0.602986, Time  0.221348
2021-09-21 20:30:52.168141 : Epoch  8, Batch     25, Loss  0.608580, Average Loss  0.602995, Time  0.221161
2021-09-21 20:30:53.645712 : Epoch  8, Batch     26, Loss  0.600465, Average Loss  0.602981, Time  0.221181
2021-09-21 20:30:55.120510 : Epoch  8, Batch     27, Loss  0.611350, Average Loss  0.603021, Time  0.221715
2021-09-21 20:30:56.584031 : Epoch  8, Batch     28, Loss  0.602058, Average Loss  0.602920, Time  0.221712
2021-09-21 20:30:58.067616 : Epoch  8, Batch     29, Loss  0.612121, Average Loss  0.602962, Time  0.221603
2021-09-21 20:30:59.543724 : Epoch  8, Batch     30, Loss  0.602844, Average Loss  0.602961, Time  0.221365
2021-09-21 20:31:01.009962 : Epoch  8, Batch     31, Loss  0.610377, Average Loss  0.602993, Time  0.221502
2021-09-21 20:31:02.471005 : Epoch  8, Batch     32, Loss  0.601247, Average Loss  0.602954, Time  0.221098
2021-09-21 20:31:03.937855 : Epoch  8, Batch     33, Loss  0.603577, Average Loss  0.602974, Time  0.221289
2021-09-21 20:31:05.413208 : Epoch  8, Batch     34, Loss  0.594858, Average Loss  0.602908, Time  0.221859
2021-09-21 20:31:06.874152 : Epoch  8, Batch     35, Loss  0.599066, Average Loss  0.602835, Time  0.220981
2021-09-21 20:31:08.354785 : Epoch  8, Batch     36, Loss  0.596928, Average Loss  0.602681, Time  0.221110
2021-09-21 20:31:09.831958 : Epoch  8, Batch     37, Loss  0.591923, Average Loss  0.602644, Time  0.221750
2021-09-21 20:31:11.304813 : Epoch  8, Batch     38, Loss  0.598307, Average Loss  0.602684, Time  0.221665
2021-09-21 20:31:12.777162 : Epoch  8, Batch     39, Loss  0.606850, Average Loss  0.602705, Time  0.221549
2021-09-21 20:31:14.248916 : Epoch  8, Batch     40, Loss  0.587857, Average Loss  0.602668, Time  0.221272
2021-09-21 20:31:15.719764 : Epoch  8, Batch     41, Loss  0.611700, Average Loss  0.602715, Time  0.221547
2021-09-21 20:31:17.193223 : Epoch  8, Batch     42, Loss  0.603985, Average Loss  0.602728, Time  0.221164
2021-09-21 20:31:18.779185 : Epoch  8, Batch     43, Loss  0.612304, Average Loss  0.602828, Time  0.221406
2021-09-21 20:31:20.245699 : Epoch  8, Batch     44, Loss  0.609495, Average Loss  0.602867, Time  0.221357
2021-09-21 20:31:21.710677 : Epoch  8, Batch     45, Loss  0.611315, Average Loss  0.602879, Time  0.222343
2021-09-21 20:31:23.170824 : Epoch  8, Batch     46, Loss  0.597736, Average Loss  0.602857, Time  0.220916
2021-09-21 20:31:24.634909 : Epoch  8, Batch     47, Loss  0.605236, Average Loss  0.602910, Time  0.221381
2021-09-21 20:31:26.099954 : Epoch  8, Batch     48, Loss  0.604911, Average Loss  0.602878, Time  0.221200
2021-09-21 20:31:27.575912 : Epoch  8, Batch     49, Loss  0.613590, Average Loss  0.602962, Time  0.220948
2021-09-21 20:31:29.046726 : Epoch  8, Batch     50, Loss  0.604598, Average Loss  0.602942, Time  0.221096
2021-09-21 20:31:30.514001 : Epoch  8, Batch     51, Loss  0.608102, Average Loss  0.602903, Time  0.221447
2021-09-21 20:31:31.979228 : Epoch  8, Batch     52, Loss  0.600173, Average Loss  0.602889, Time  0.221236
2021-09-21 20:31:33.439721 : Epoch  8, Batch     53, Loss  0.608270, Average Loss  0.602908, Time  0.221050
2021-09-21 20:31:34.914724 : Epoch  8, Batch     54, Loss  0.590985, Average Loss  0.602858, Time  0.221249
2021-09-21 20:31:36.381777 : Epoch  8, Batch     55, Loss  0.606854, Average Loss  0.602839, Time  0.221268
2021-09-21 20:31:37.849769 : Epoch  8, Batch     56, Loss  0.615070, Average Loss  0.602880, Time  0.221296
2021-09-21 20:31:39.319366 : Epoch  8, Batch     57, Loss  0.605222, Average Loss  0.602920, Time  0.221126
2021-09-21 20:31:40.787285 : Epoch  8, Batch     58, Loss  0.598095, Average Loss  0.602977, Time  0.221135
2021-09-21 20:31:42.246259 : Epoch  8, Batch     59, Loss  0.603949, Average Loss  0.602961, Time  0.221112
2021-09-21 20:31:43.727747 : Epoch  8, Batch     60, Loss  0.599392, Average Loss  0.602985, Time  0.221413
2021-09-21 20:31:45.206787 : Epoch  8, Batch     61, Loss  0.613656, Average Loss  0.603046, Time  0.221370
2021-09-21 20:31:46.684942 : Epoch  8, Batch     62, Loss  0.601917, Average Loss  0.603096, Time  0.221205
2021-09-21 20:31:48.155933 : Epoch  8, Batch     63, Loss  0.594501, Average Loss  0.603054, Time  0.221520
2021-09-21 20:31:49.633670 : Epoch  8, Batch     64, Loss  0.605110, Average Loss  0.603086, Time  0.221174
2021-09-21 20:31:51.116749 : Epoch  8, Batch     65, Loss  0.604651, Average Loss  0.603107, Time  0.221227
2021-09-21 20:31:52.583870 : Epoch  8, Batch     66, Loss  0.607103, Average Loss  0.603102, Time  0.221144
2021-09-21 20:31:54.055691 : Epoch  8, Batch     67, Loss  0.610367, Average Loss  0.603123, Time  0.221301
2021-09-21 20:31:55.544892 : Epoch  8, Batch     68, Loss  0.597766, Average Loss  0.603074, Time  0.221595
2021-09-21 20:31:57.014818 : Epoch  8, Batch     69, Loss  0.601300, Average Loss  0.603068, Time  0.221412
2021-09-21 20:31:58.495684 : Epoch  8, Batch     70, Loss  0.607570, Average Loss  0.603137, Time  0.221187
2021-09-21 20:31:59.981773 : Epoch  8, Batch     71, Loss  0.608940, Average Loss  0.603223, Time  0.222249
2021-09-21 20:32:01.448855 : Epoch  8, Batch     72, Loss  0.620721, Average Loss  0.603313, Time  0.221726
2021-09-21 20:32:02.912782 : Epoch  8, Batch     73, Loss  0.600413, Average Loss  0.603275, Time  0.221297
2021-09-21 20:32:04.389772 : Epoch  8, Batch     74, Loss  0.601129, Average Loss  0.603205, Time  0.221925
2021-09-21 20:32:05.859773 : Epoch  8, Batch     75, Loss  0.592474, Average Loss  0.603229, Time  0.221253
2021-09-21 20:32:07.325828 : Epoch  8, Batch     76, Loss  0.612109, Average Loss  0.603327, Time  0.221166
2021-09-21 20:32:08.796954 : Epoch  8, Batch     77, Loss  0.599545, Average Loss  0.603319, Time  0.222938
2021-09-21 20:32:10.496805 : Epoch  8, Batch     78, Loss  0.595685, Average Loss  0.603231, Time  0.221103
2021-09-21 20:32:11.964782 : Epoch  8, Batch     79, Loss  0.598301, Average Loss  0.603196, Time  0.221329
2021-09-21 20:32:13.430758 : Epoch  8, Batch     80, Loss  0.590136, Average Loss  0.603118, Time  0.221124
2021-09-21 20:32:14.899938 : Epoch  8, Batch     81, Loss  0.603083, Average Loss  0.603105, Time  0.221456
2021-09-21 20:32:16.374940 : Epoch  8, Batch     82, Loss  0.613285, Average Loss  0.603080, Time  0.221188
2021-09-21 20:32:17.848690 : Epoch  8, Batch     83, Loss  0.603102, Average Loss  0.603098, Time  0.221246
2021-09-21 20:32:19.319700 : Epoch  8, Batch     84, Loss  0.600092, Average Loss  0.603036, Time  0.222227
2021-09-21 20:32:20.784700 : Epoch  8, Batch     85, Loss  0.608243, Average Loss  0.603074, Time  0.221230
2021-09-21 20:32:22.261785 : Epoch  8, Batch     86, Loss  0.612227, Average Loss  0.603203, Time  0.221149
2021-09-21 20:32:23.737708 : Epoch  8, Batch     87, Loss  0.603254, Average Loss  0.603250, Time  0.221365
2021-09-21 20:32:25.210939 : Epoch  8, Batch     88, Loss  0.608923, Average Loss  0.603254, Time  0.221581
2021-09-21 20:32:26.716331 : Epoch  8, Batch     89, Loss  0.600446, Average Loss  0.603260, Time  0.221647
2021-09-21 20:32:28.174915 : Epoch  8, Batch     90, Loss  0.614615, Average Loss  0.603323, Time  0.220840
2021-09-21 20:32:29.650711 : Epoch  8, Batch     91, Loss  0.614143, Average Loss  0.603362, Time  0.221551
2021-09-21 20:33:24.649298 : CheckPoint: Validation Loss  0.00025094, Best Loss  0.00024129
2021-09-21 20:33:26.135588 : Epoch  8, Batch     92, Loss  0.610153, Average Loss  0.603393, Time  0.222233
2021-09-21 20:33:27.610177 : Epoch  8, Batch     93, Loss  0.590299, Average Loss  0.603361, Time  0.221326
2021-09-21 20:33:29.079007 : Epoch  8, Batch     94, Loss  0.602639, Average Loss  0.603363, Time  0.221128
2021-09-21 20:33:30.556129 : Epoch  8, Batch     95, Loss  0.607139, Average Loss  0.603411, Time  0.221103
2021-09-21 20:33:32.028870 : Epoch  8, Batch     96, Loss  0.596893, Average Loss  0.603356, Time  0.221014
2021-09-21 20:33:33.505762 : Epoch  8, Batch     97, Loss  0.601941, Average Loss  0.603357, Time  0.223609
2021-09-21 20:33:35.022803 : Epoch  8, Batch     98, Loss  0.599066, Average Loss  0.603320, Time  0.221432
2021-09-21 20:33:36.488943 : Epoch  8, Batch     99, Loss  0.593508, Average Loss  0.603251, Time  0.221271
2021-09-21 20:33:37.959833 : Epoch  8, Batch    100, Loss  0.596068, Average Loss  0.603238, Time  0.221148
2021-09-21 20:33:39.434766 : Epoch  8, Batch    101, Loss  0.596946, Average Loss  0.603313, Time  0.221617
2021-09-21 20:33:40.899284 : Epoch  8, Batch    102, Loss  0.617188, Average Loss  0.603374, Time  0.221302
2021-09-21 20:33:42.374685 : Epoch  8, Batch    103, Loss  0.592436, Average Loss  0.603310, Time  0.221736
2021-09-21 20:33:43.844022 : Epoch  8, Batch    104, Loss  0.604689, Average Loss  0.603341, Time  0.221946
2021-09-21 20:33:45.315056 : Epoch  8, Batch    105, Loss  0.615270, Average Loss  0.603480, Time  0.221255
2021-09-21 20:33:46.789054 : Epoch  8, Batch    106, Loss  0.598091, Average Loss  0.603500, Time  0.221054
2021-09-21 20:33:48.272061 : Epoch  8, Batch    107, Loss  0.612409, Average Loss  0.603543, Time  0.222026
2021-09-21 20:33:49.740803 : Epoch  8, Batch    108, Loss  0.600204, Average Loss  0.603554, Time  0.221050
2021-09-21 20:33:51.204207 : Epoch  8, Batch    109, Loss  0.619698, Average Loss  0.603713, Time  0.221314
2021-09-21 20:33:52.677708 : Epoch  8, Batch    110, Loss  0.603041, Average Loss  0.603698, Time  0.221622
2021-09-21 20:33:54.152069 : Epoch  8, Batch    111, Loss  0.612077, Average Loss  0.603730, Time  0.221324
2021-09-21 20:33:55.618205 : Epoch  8, Batch    112, Loss  0.609718, Average Loss  0.603803, Time  0.221137
2021-09-21 20:33:57.084220 : Epoch  8, Batch    113, Loss  0.601501, Average Loss  0.603803, Time  0.221597
2021-09-21 20:33:58.554125 : Epoch  8, Batch    114, Loss  0.597336, Average Loss  0.603818, Time  0.220915
2021-09-21 20:34:00.023923 : Epoch  8, Batch    115, Loss  0.594803, Average Loss  0.603814, Time  0.221315
2021-09-21 20:34:01.492106 : Epoch  8, Batch    116, Loss  0.605556, Average Loss  0.603839, Time  0.221092
2021-09-21 20:34:02.955188 : Epoch  8, Batch    117, Loss  0.597590, Average Loss  0.603792, Time  0.222013
2021-09-21 20:34:04.421700 : Epoch  8, Batch    118, Loss  0.598642, Average Loss  0.603792, Time  0.221340
2021-09-21 20:34:05.884351 : Epoch  8, Batch    119, Loss  0.601315, Average Loss  0.603842, Time  0.221547
2021-09-21 20:34:07.354949 : Epoch  8, Batch    120, Loss  0.593923, Average Loss  0.603783, Time  0.221194
2021-09-21 20:34:08.813015 : Epoch  8, Batch    121, Loss  0.613805, Average Loss  0.603805, Time  0.221419
2021-09-21 20:34:10.284959 : Epoch  8, Batch    122, Loss  0.595749, Average Loss  0.603741, Time  0.221195
2021-09-21 20:34:11.753845 : Epoch  8, Batch    123, Loss  0.607384, Average Loss  0.603741, Time  0.221081
2021-09-21 20:34:13.229997 : Epoch  8, Batch    124, Loss  0.602636, Average Loss  0.603777, Time  0.221594
2021-09-21 20:34:14.709722 : Epoch  8, Batch    125, Loss  0.595999, Average Loss  0.603716, Time  0.221544
2021-09-21 20:34:16.187690 : Epoch  8, Batch    126, Loss  0.604996, Average Loss  0.603722, Time  0.221514
2021-09-21 20:34:17.658952 : Epoch  8, Batch    127, Loss  0.597462, Average Loss  0.603697, Time  0.221454
2021-09-21 20:34:19.131996 : Epoch  8, Batch    128, Loss  0.605127, Average Loss  0.603706, Time  0.221083
2021-09-21 20:34:20.599949 : Epoch  8, Batch    129, Loss  0.607996, Average Loss  0.603749, Time  0.221230
2021-09-21 20:34:22.072941 : Epoch  8, Batch    130, Loss  0.609806, Average Loss  0.603797, Time  0.221366
2021-09-21 20:34:23.538997 : Epoch  8, Batch    131, Loss  0.612545, Average Loss  0.603789, Time  0.221384
2021-09-21 20:34:25.009000 : Epoch  8, Batch    132, Loss  0.605205, Average Loss  0.603766, Time  0.221310
2021-09-21 20:34:26.487982 : Epoch  8, Batch    133, Loss  0.591839, Average Loss  0.603684, Time  0.221340
2021-09-21 20:34:27.959607 : Epoch  8, Batch    134, Loss  0.601646, Average Loss  0.603676, Time  0.221342
2021-09-21 20:34:29.424527 : Epoch  8, Batch    135, Loss  0.608941, Average Loss  0.603729, Time  0.221241
2021-09-21 20:34:30.894651 : Epoch  8, Batch    136, Loss  0.607655, Average Loss  0.603750, Time  0.221347
2021-09-21 20:34:32.371182 : Epoch  8, Batch    137, Loss  0.615104, Average Loss  0.603820, Time  0.221655
2021-09-21 20:34:33.863184 : Epoch  8, Batch    138, Loss  0.609472, Average Loss  0.603903, Time  0.221256
2021-09-21 20:34:35.335024 : Epoch  8, Batch    139, Loss  0.595710, Average Loss  0.603844, Time  0.221330
2021-09-21 20:34:36.800405 : Epoch  8, Batch    140, Loss  0.595701, Average Loss  0.603826, Time  0.221407
2021-09-21 20:34:38.286212 : Epoch  8, Batch    141, Loss  0.602611, Average Loss  0.603801, Time  0.222079
2021-09-21 20:34:39.758026 : Epoch  8, Batch    142, Loss  0.609323, Average Loss  0.603839, Time  0.221912
2021-09-21 20:34:41.237183 : Epoch  8, Batch    143, Loss  0.593668, Average Loss  0.603786, Time  0.221314
2021-09-21 20:34:42.701776 : Epoch  8, Batch    144, Loss  0.606913, Average Loss  0.603811, Time  0.221820
2021-09-21 20:34:44.175915 : Epoch  8, Batch    145, Loss  0.608887, Average Loss  0.603833, Time  0.221354
2021-09-21 20:34:45.655144 : Epoch  8, Batch    146, Loss  0.605392, Average Loss  0.603829, Time  0.221191
2021-09-21 20:34:47.123804 : Epoch  8, Batch    147, Loss  0.597720, Average Loss  0.603794, Time  0.221515
2021-09-21 20:34:48.595829 : Epoch  8, Batch    148, Loss  0.600359, Average Loss  0.603800, Time  0.221597
2021-09-21 20:34:50.064204 : Epoch  8, Batch    149, Loss  0.592151, Average Loss  0.603708, Time  0.221333
2021-09-21 20:34:51.533080 : Epoch  8, Batch    150, Loss  0.612577, Average Loss  0.603715, Time  0.221874
2021-09-21 20:34:52.999940 : Epoch  8, Batch    151, Loss  0.602435, Average Loss  0.603677, Time  0.221143
2021-09-21 20:34:54.473812 : Epoch  8, Batch    152, Loss  0.608860, Average Loss  0.603786, Time  0.221522
2021-09-21 20:34:55.955769 : Epoch  8, Batch    153, Loss  0.596540, Average Loss  0.603788, Time  0.221741
2021-09-21 20:34:57.439939 : Epoch  8, Batch    154, Loss  0.607539, Average Loss  0.603832, Time  0.221253
2021-09-21 20:34:58.911926 : Epoch  8, Batch    155, Loss  0.601125, Average Loss  0.603794, Time  0.221417
2021-09-21 20:35:00.387043 : Epoch  8, Batch    156, Loss  0.610622, Average Loss  0.603831, Time  0.221483
2021-09-21 20:35:01.853044 : Epoch  8, Batch    157, Loss  0.597166, Average Loss  0.603818, Time  0.222139
2021-09-21 20:35:03.358005 : Epoch  8, Batch    158, Loss  0.603901, Average Loss  0.603797, Time  0.221801
2021-09-21 20:35:04.836937 : Epoch  8, Batch    159, Loss  0.602506, Average Loss  0.603793, Time  0.227171
2021-09-21 20:35:06.319807 : Epoch  8, Batch    160, Loss  0.609620, Average Loss  0.603865, Time  0.221164
2021-09-21 20:35:07.803920 : Epoch  8, Batch    161, Loss  0.590825, Average Loss  0.603824, Time  0.221672
2021-09-21 20:35:11.580757 : Epoch  8, Batch    162, Loss  0.609494, Average Loss  0.603878, Time  0.258091
2021-09-21 20:35:13.066977 : Epoch  8, Batch    163, Loss  0.609415, Average Loss  0.603897, Time  0.241940
2021-09-21 20:35:14.548976 : Epoch  8, Batch    164, Loss  0.601851, Average Loss  0.603871, Time  0.228246
2021-09-21 20:35:16.019235 : Epoch  8, Batch    165, Loss  0.591237, Average Loss  0.603748, Time  0.221334
2021-09-21 20:35:17.487665 : Epoch  8, Batch    166, Loss  0.588571, Average Loss  0.603688, Time  0.221255
2021-09-21 20:35:18.953190 : Epoch  8, Batch    167, Loss  0.618549, Average Loss  0.603758, Time  0.221456
2021-09-21 20:35:20.426212 : Epoch  8, Batch    168, Loss  0.599700, Average Loss  0.603777, Time  0.221313
2021-09-21 20:35:21.895709 : Epoch  8, Batch    169, Loss  0.594171, Average Loss  0.603712, Time  0.221343
2021-09-21 20:35:23.378991 : Epoch  8, Batch    170, Loss  0.597490, Average Loss  0.603715, Time  0.221236
2021-09-21 20:35:24.845975 : Epoch  8, Batch    171, Loss  0.598605, Average Loss  0.603757, Time  0.221388
2021-09-21 20:35:26.340927 : Epoch  8, Batch    172, Loss  0.607549, Average Loss  0.603750, Time  0.221138
2021-09-21 20:35:27.806761 : Epoch  8, Batch    173, Loss  0.611060, Average Loss  0.603794, Time  0.221316
2021-09-21 20:35:29.289787 : Epoch  8, Batch    174, Loss  0.599709, Average Loss  0.603801, Time  0.221340
2021-09-21 20:35:30.758185 : Epoch  8, Batch    175, Loss  0.589808, Average Loss  0.603745, Time  0.221316
2021-09-21 20:35:32.219776 : Epoch  8, Batch    176, Loss  0.605541, Average Loss  0.603791, Time  0.220998
2021-09-21 20:35:33.713042 : Epoch  8, Batch    177, Loss  0.602496, Average Loss  0.603779, Time  0.222900
2021-09-21 20:35:35.197320 : Epoch  8, Batch    178, Loss  0.606510, Average Loss  0.603770, Time  0.222850
2021-09-21 20:35:36.704215 : Epoch  8, Batch    179, Loss  0.599907, Average Loss  0.603778, Time  0.222511
2021-09-21 20:35:38.231007 : Epoch  8, Batch    180, Loss  0.604277, Average Loss  0.603763, Time  0.222648
2021-09-21 20:35:39.707917 : Epoch  8, Batch    181, Loss  0.614335, Average Loss  0.603890, Time  0.221997
2021-09-21 20:35:41.187936 : Epoch  8, Batch    182, Loss  0.606342, Average Loss  0.603871, Time  0.221289
2021-09-21 20:35:42.667065 : Epoch  8, Batch    183, Loss  0.606787, Average Loss  0.603857, Time  0.222024
2021-09-21 20:35:44.142634 : Epoch  8, Batch    184, Loss  0.627256, Average Loss  0.603963, Time  0.222656
2021-09-21 20:35:45.614802 : Epoch  8, Batch    185, Loss  0.617077, Average Loss  0.604038, Time  0.221331
2021-09-21 20:35:47.088761 : Epoch  8, Batch    186, Loss  0.614923, Average Loss  0.604114, Time  0.221386
2021-09-21 20:35:48.569699 : Epoch  8, Batch    187, Loss  0.598062, Average Loss  0.604056, Time  0.221580
2021-09-21 20:35:50.053766 : Epoch  8, Batch    188, Loss  0.605030, Average Loss  0.604041, Time  0.221329
2021-09-21 20:35:51.534806 : Epoch  8, Batch    189, Loss  0.593739, Average Loss  0.603968, Time  0.221709
2021-09-21 20:35:53.012769 : Epoch  8, Batch    190, Loss  0.607106, Average Loss  0.603950, Time  0.221379
2021-09-21 20:35:54.489253 : Epoch  8, Batch    191, Loss  0.607074, Average Loss  0.603970, Time  0.221824
2021-09-21 20:36:49.489684 : CheckPoint: Validation Loss  0.00025685, Best Loss  0.00024129
2021-09-21 20:36:50.978359 : Epoch  8, Batch    192, Loss  0.601926, Average Loss  0.603995, Time  0.221687
2021-09-21 20:36:52.445710 : Epoch  8, Batch    193, Loss  0.600117, Average Loss  0.603949, Time  0.221386
2021-09-21 20:36:53.911705 : Epoch  8, Batch    194, Loss  0.597068, Average Loss  0.603932, Time  0.221022
2021-09-21 20:36:55.394719 : Epoch  8, Batch    195, Loss  0.596529, Average Loss  0.603900, Time  0.221592
2021-09-21 20:36:56.864948 : Epoch  8, Batch    196, Loss  0.602335, Average Loss  0.603856, Time  0.221192
2021-09-21 20:36:58.338038 : Epoch  8, Batch    197, Loss  0.597376, Average Loss  0.603819, Time  0.222171
2021-09-21 20:36:59.807779 : Epoch  8, Batch    198, Loss  0.602618, Average Loss  0.603819, Time  0.221190
2021-09-21 20:37:01.290938 : Epoch  8, Batch    199, Loss  0.606070, Average Loss  0.603771, Time  0.221663
2021-09-21 20:37:02.766042 : Epoch  8, Batch    200, Loss  0.607441, Average Loss  0.603790, Time  0.222098
2021-09-21 20:37:04.237933 : Epoch  8, Batch    201, Loss  0.597317, Average Loss  0.603743, Time  0.221156
2021-09-21 20:37:05.710926 : Epoch  8, Batch    202, Loss  0.598180, Average Loss  0.603785, Time  0.221350
2021-09-21 20:37:07.176720 : Epoch  8, Batch    203, Loss  0.599078, Average Loss  0.603751, Time  0.221492
2021-09-21 20:37:08.646208 : Epoch  8, Batch    204, Loss  0.614371, Average Loss  0.603797, Time  0.221196
2021-09-21 20:37:10.111709 : Epoch  8, Batch    205, Loss  0.614903, Average Loss  0.603856, Time  0.221446
2021-09-21 20:37:11.579197 : Epoch  8, Batch    206, Loss  0.610921, Average Loss  0.603819, Time  0.220933
2021-09-21 20:37:13.042937 : Epoch  8, Batch    207, Loss  0.604563, Average Loss  0.603798, Time  0.221246
2021-09-21 20:37:14.511687 : Epoch  8, Batch    208, Loss  0.608293, Average Loss  0.603848, Time  0.221245
2021-09-21 20:37:15.989003 : Epoch  8, Batch    209, Loss  0.599136, Average Loss  0.603791, Time  0.221699
2021-09-21 20:37:17.462717 : Epoch  8, Batch    210, Loss  0.611270, Average Loss  0.603842, Time  0.220884
2021-09-21 20:37:18.929925 : Epoch  8, Batch    211, Loss  0.593255, Average Loss  0.603825, Time  0.222030
2021-09-21 20:37:20.404238 : Epoch  8, Batch    212, Loss  0.612217, Average Loss  0.603919, Time  0.221509
2021-09-21 20:37:21.868021 : Epoch  8, Batch    213, Loss  0.607551, Average Loss  0.603933, Time  0.221463
2021-09-21 20:37:23.331975 : Epoch  8, Batch    214, Loss  0.600026, Average Loss  0.603931, Time  0.221363
2021-09-21 20:37:24.801204 : Epoch  8, Batch    215, Loss  0.587380, Average Loss  0.603852, Time  0.221380
2021-09-21 20:37:26.266200 : Epoch  8, Batch    216, Loss  0.607383, Average Loss  0.603828, Time  0.221021
2021-09-21 20:37:27.734783 : Epoch  8, Batch    217, Loss  0.604598, Average Loss  0.603802, Time  0.221694
2021-09-21 20:37:29.207953 : Epoch  8, Batch    218, Loss  0.604866, Average Loss  0.603837, Time  0.220937
2021-09-21 20:37:30.684188 : Epoch  8, Batch    219, Loss  0.598325, Average Loss  0.603794, Time  0.221360
2021-09-21 20:37:32.153734 : Epoch  8, Batch    220, Loss  0.603064, Average Loss  0.603768, Time  0.221706
2021-09-21 20:37:33.625189 : Epoch  8, Batch    221, Loss  0.593186, Average Loss  0.603679, Time  0.221642
2021-09-21 20:37:35.091178 : Epoch  8, Batch    222, Loss  0.606013, Average Loss  0.603725, Time  0.221226
2021-09-21 20:37:36.562808 : Epoch  8, Batch    223, Loss  0.602736, Average Loss  0.603655, Time  0.221347
2021-09-21 20:37:38.037817 : Epoch  8, Batch    224, Loss  0.610708, Average Loss  0.603672, Time  0.221026
2021-09-21 20:37:39.499925 : Epoch  8, Batch    225, Loss  0.602083, Average Loss  0.603639, Time  0.221081
2021-09-21 20:37:40.981460 : Epoch  8, Batch    226, Loss  0.605092, Average Loss  0.603662, Time  0.221534
2021-09-21 20:37:42.450734 : Epoch  8, Batch    227, Loss  0.607067, Average Loss  0.603641, Time  0.221737
2021-09-21 20:37:43.919802 : Epoch  8, Batch    228, Loss  0.604715, Average Loss  0.603654, Time  0.221620
2021-09-21 20:37:45.423435 : Epoch  8, Batch    229, Loss  0.609572, Average Loss  0.603641, Time  0.222401
2021-09-21 20:37:46.890054 : Epoch  8, Batch    230, Loss  0.611622, Average Loss  0.603685, Time  0.220974
2021-09-21 20:37:48.369176 : Epoch  8, Batch    231, Loss  0.603388, Average Loss  0.603650, Time  0.221349
2021-09-21 20:37:49.848050 : Epoch  8, Batch    232, Loss  0.602890, Average Loss  0.603659, Time  0.221307
2021-09-21 20:37:51.317162 : Epoch  8, Batch    233, Loss  0.588820, Average Loss  0.603585, Time  0.221136
2021-09-21 20:37:52.785042 : Epoch  8, Batch    234, Loss  0.597631, Average Loss  0.603599, Time  0.221180
2021-09-21 20:37:54.261242 : Epoch  8, Batch    235, Loss  0.589376, Average Loss  0.603550, Time  0.221855
2021-09-21 20:37:55.720720 : Epoch  8, Batch    236, Loss  0.603476, Average Loss  0.603583, Time  0.221251
2021-09-21 20:37:57.193872 : Epoch  8, Batch    237, Loss  0.603333, Average Loss  0.603640, Time  0.221597
2021-09-21 20:37:58.659759 : Epoch  8, Batch    238, Loss  0.596331, Average Loss  0.603630, Time  0.221187
2021-09-21 20:38:00.126371 : Epoch  8, Batch    239, Loss  0.598062, Average Loss  0.603586, Time  0.221559
2021-09-21 20:38:01.600003 : Epoch  8, Batch    240, Loss  0.598372, Average Loss  0.603639, Time  0.221374
2021-09-21 20:38:03.070933 : Epoch  8, Batch    241, Loss  0.607063, Average Loss  0.603616, Time  0.221667
2021-09-21 20:38:04.541963 : Epoch  8, Batch    242, Loss  0.609212, Average Loss  0.603642, Time  0.221022
2021-09-21 20:38:06.022036 : Epoch  8, Batch    243, Loss  0.601640, Average Loss  0.603588, Time  0.221655
2021-09-21 20:38:07.495946 : Epoch  8, Batch    244, Loss  0.606471, Average Loss  0.603573, Time  0.220830
2021-09-21 20:38:08.971940 : Epoch  8, Batch    245, Loss  0.592369, Average Loss  0.603479, Time  0.221287
2021-09-21 20:38:10.466435 : Epoch  8, Batch    246, Loss  0.614524, Average Loss  0.603563, Time  0.222928
2021-09-21 20:38:11.944232 : Epoch  8, Batch    247, Loss  0.607027, Average Loss  0.603572, Time  0.222400
2021-09-21 20:38:13.446013 : Epoch  8, Batch    248, Loss  0.603747, Average Loss  0.603566, Time  0.222564
2021-09-21 20:38:14.924940 : Epoch  8, Batch    249, Loss  0.597948, Average Loss  0.603487, Time  0.221972
2021-09-21 20:38:16.409986 : Epoch  8, Batch    250, Loss  0.601460, Average Loss  0.603472, Time  0.221297
2021-09-21 20:38:17.893719 : Epoch  8, Batch    251, Loss  0.611607, Average Loss  0.603489, Time  0.222059
2021-09-21 20:38:19.382150 : Epoch  8, Batch    252, Loss  0.603229, Average Loss  0.603505, Time  0.222822
2021-09-21 20:38:20.863833 : Epoch  8, Batch    253, Loss  0.606584, Average Loss  0.603496, Time  0.221623
2021-09-21 20:38:22.340770 : Epoch  8, Batch    254, Loss  0.600739, Average Loss  0.603545, Time  0.221448
2021-09-21 20:38:23.816953 : Epoch  8, Batch    255, Loss  0.606389, Average Loss  0.603543, Time  0.221769
2021-09-21 20:38:25.288727 : Epoch  8, Batch    256, Loss  0.594855, Average Loss  0.603442, Time  0.221004
2021-09-21 20:38:26.767254 : Epoch  8, Batch    257, Loss  0.597873, Average Loss  0.603405, Time  0.221643
2021-09-21 20:38:28.242929 : Epoch  8, Batch    258, Loss  0.598419, Average Loss  0.603406, Time  0.221741
2021-09-21 20:38:29.705780 : Epoch  8, Batch    259, Loss  0.607079, Average Loss  0.603422, Time  0.221624
2021-09-21 20:38:31.174603 : Epoch  8, Batch    260, Loss  0.603979, Average Loss  0.603445, Time  0.222058
2021-09-21 20:38:32.636690 : Epoch  8, Batch    261, Loss  0.596703, Average Loss  0.603360, Time  0.221155
2021-09-21 20:38:36.480975 : Epoch  8, Batch    262, Loss  0.608451, Average Loss  0.603393, Time  0.256831
2021-09-21 20:38:37.967977 : Epoch  8, Batch    263, Loss  0.614976, Average Loss  0.603495, Time  0.227067
2021-09-21 20:38:39.416800 : Epoch  8, Batch    264, Loss  0.594427, Average Loss  0.603442, Time  0.221254
2021-09-21 20:38:40.890690 : Epoch  8, Batch    265, Loss  0.595464, Average Loss  0.603396, Time  0.221496
2021-09-21 20:38:42.344465 : Epoch  8, Batch    266, Loss  0.607902, Average Loss  0.603400, Time  0.221477
2021-09-21 20:38:43.802052 : Epoch  8, Batch    267, Loss  0.604129, Average Loss  0.603369, Time  0.221669
2021-09-21 20:38:45.263812 : Epoch  8, Batch    268, Loss  0.589062, Average Loss  0.603325, Time  0.224418
2021-09-21 20:38:46.734078 : Epoch  8, Batch    269, Loss  0.605131, Average Loss  0.603344, Time  0.221406
2021-09-21 20:38:48.198085 : Epoch  8, Batch    270, Loss  0.618064, Average Loss  0.603397, Time  0.221450
2021-09-21 20:38:49.666914 : Epoch  8, Batch    271, Loss  0.596426, Average Loss  0.603334, Time  0.221202
2021-09-21 20:38:51.135920 : Epoch  8, Batch    272, Loss  0.609159, Average Loss  0.603276, Time  0.221014
2021-09-21 20:38:52.595034 : Epoch  8, Batch    273, Loss  0.607775, Average Loss  0.603313, Time  0.221936
2021-09-21 20:38:54.063087 : Epoch  8, Batch    274, Loss  0.596845, Average Loss  0.603292, Time  0.221146
2021-09-21 20:38:55.535230 : Epoch  8, Batch    275, Loss  0.604620, Average Loss  0.603353, Time  0.222235
2021-09-21 20:38:56.988994 : Epoch  8, Batch    276, Loss  0.606276, Average Loss  0.603323, Time  0.221001
2021-09-21 20:38:58.472039 : Epoch  8, Batch    277, Loss  0.598077, Average Loss  0.603316, Time  0.221908
2021-09-21 20:38:59.937029 : Epoch  8, Batch    278, Loss  0.606438, Average Loss  0.603370, Time  0.221202
2021-09-21 20:39:01.403233 : Epoch  8, Batch    279, Loss  0.593708, Average Loss  0.603347, Time  0.222023
2021-09-21 20:39:02.864952 : Epoch  8, Batch    280, Loss  0.596942, Average Loss  0.603381, Time  0.221776
2021-09-21 20:39:04.317019 : Epoch  8, Batch    281, Loss  0.604370, Average Loss  0.603387, Time  0.221220
2021-09-21 20:39:05.780800 : Epoch  8, Batch    282, Loss  0.606082, Average Loss  0.603351, Time  0.221555
2021-09-21 20:39:07.236186 : Epoch  8, Batch    283, Loss  0.593066, Average Loss  0.603301, Time  0.221166
2021-09-21 20:39:08.688728 : Epoch  8, Batch    284, Loss  0.594350, Average Loss  0.603272, Time  0.221123
2021-09-21 20:39:10.154719 : Epoch  8, Batch    285, Loss  0.606254, Average Loss  0.603262, Time  0.221647
2021-09-21 20:39:11.639706 : Epoch  8, Batch    286, Loss  0.602284, Average Loss  0.603213, Time  0.221312
2021-09-21 20:39:13.095961 : Epoch  8, Batch    287, Loss  0.584484, Average Loss  0.603119, Time  0.221423
2021-09-21 20:39:14.550082 : Epoch  8, Batch    288, Loss  0.606852, Average Loss  0.603109, Time  0.221514
2021-09-21 20:39:16.009092 : Epoch  8, Batch    289, Loss  0.608482, Average Loss  0.603149, Time  0.221614
2021-09-21 20:39:17.463774 : Epoch  8, Batch    290, Loss  0.603948, Average Loss  0.603095, Time  0.221111
2021-09-21 20:39:18.928193 : Epoch  8, Batch    291, Loss  0.604556, Average Loss  0.603047, Time  0.221535
2021-09-21 20:40:14.049693 : CheckPoint: Validation Loss  0.00025127, Best Loss  0.00024129
2021-09-21 20:40:15.523984 : Epoch  8, Batch    292, Loss  0.599319, Average Loss  0.602993, Time  0.221912
2021-09-21 20:40:17.010532 : Epoch  8, Batch    293, Loss  0.603612, Average Loss  0.603060, Time  0.221675
2021-09-21 20:40:18.472894 : Epoch  8, Batch    294, Loss  0.608329, Average Loss  0.603088, Time  0.221218
2021-09-21 20:40:19.930994 : Epoch  8, Batch    295, Loss  0.588689, Average Loss  0.602996, Time  0.221397
2021-09-21 20:40:21.419912 : Epoch  8, Batch    296, Loss  0.592949, Average Loss  0.602976, Time  0.221131
2021-09-21 20:40:22.884829 : Epoch  8, Batch    297, Loss  0.595342, Average Loss  0.602943, Time  0.221528
2021-09-21 20:40:24.340103 : Epoch  8, Batch    298, Loss  0.611165, Average Loss  0.603004, Time  0.220997
2021-09-21 20:40:25.804014 : Epoch  8, Batch    299, Loss  0.593330, Average Loss  0.603003, Time  0.221853
2021-09-21 20:40:27.263884 : Epoch  8, Batch    300, Loss  0.603797, Average Loss  0.603042, Time  0.221383
2021-09-21 20:40:28.722886 : Epoch  8, Batch    301, Loss  0.609117, Average Loss  0.603102, Time  0.221483
2021-09-21 20:40:30.183947 : Epoch  8, Batch    302, Loss  0.605105, Average Loss  0.603042, Time  0.221049
2021-09-21 20:40:31.641954 : Epoch  8, Batch    303, Loss  0.603188, Average Loss  0.603096, Time  0.221526
2021-09-21 20:40:33.114852 : Epoch  8, Batch    304, Loss  0.611875, Average Loss  0.603132, Time  0.221123
2021-09-21 20:40:34.574928 : Epoch  8, Batch    305, Loss  0.603247, Average Loss  0.603072, Time  0.221391
2021-09-21 20:40:36.046984 : Epoch  8, Batch    306, Loss  0.597982, Average Loss  0.603071, Time  0.221930
2021-09-21 20:40:37.534915 : Epoch  8, Batch    307, Loss  0.609413, Average Loss  0.603056, Time  0.221339
2021-09-21 20:40:38.998815 : Epoch  8, Batch    308, Loss  0.598119, Average Loss  0.603046, Time  0.222018
2021-09-21 20:40:40.455919 : Epoch  8, Batch    309, Loss  0.589385, Average Loss  0.602894, Time  0.221119
2021-09-21 20:40:41.916167 : Epoch  8, Batch    310, Loss  0.597230, Average Loss  0.602865, Time  0.221144
2021-09-21 20:40:43.390743 : Epoch  8, Batch    311, Loss  0.600047, Average Loss  0.602805, Time  0.221410
2021-09-21 20:40:44.857767 : Epoch  8, Batch    312, Loss  0.603322, Average Loss  0.602773, Time  0.221293
2021-09-21 20:40:46.321912 : Epoch  8, Batch    313, Loss  0.601857, Average Loss  0.602775, Time  0.221109
2021-09-21 20:40:47.787935 : Epoch  8, Batch    314, Loss  0.609722, Average Loss  0.602837, Time  0.221260
2021-09-21 20:40:49.253161 : Epoch  8, Batch    315, Loss  0.605699, Average Loss  0.602891, Time  0.221179
2021-09-21 20:40:50.712105 : Epoch  8, Batch    316, Loss  0.597256, Average Loss  0.602850, Time  0.221333
2021-09-21 20:40:52.176938 : Epoch  8, Batch    317, Loss  0.593397, Average Loss  0.602829, Time  0.221367
2021-09-21 20:40:53.640701 : Epoch  8, Batch    318, Loss  0.595927, Average Loss  0.602815, Time  0.221214
2021-09-21 20:40:55.104970 : Epoch  8, Batch    319, Loss  0.606601, Average Loss  0.602842, Time  0.222231
2021-09-21 20:40:56.555945 : Epoch  8, Batch    320, Loss  0.598566, Average Loss  0.602865, Time  0.221258
2021-09-21 20:40:58.009012 : Epoch  8, Batch    321, Loss  0.605388, Average Loss  0.602823, Time  0.221520
2021-09-21 20:40:59.462925 : Epoch  8, Batch    322, Loss  0.597061, Average Loss  0.602829, Time  0.221214
2021-09-21 20:41:00.923973 : Epoch  8, Batch    323, Loss  0.594086, Average Loss  0.602763, Time  0.221475
2021-09-21 20:41:02.374947 : Epoch  8, Batch    324, Loss  0.614275, Average Loss  0.602821, Time  0.221143
2021-09-21 20:41:03.855007 : Epoch  8, Batch    325, Loss  0.601756, Average Loss  0.602850, Time  0.221334
2021-09-21 20:41:05.320953 : Epoch  8, Batch    326, Loss  0.611427, Average Loss  0.602882, Time  0.221220
2021-09-21 20:41:06.773910 : Epoch  8, Batch    327, Loss  0.603271, Average Loss  0.602911, Time  0.221368
2021-09-21 20:41:08.235919 : Epoch  8, Batch    328, Loss  0.595605, Average Loss  0.602863, Time  0.221490
2021-09-21 20:41:09.705171 : Epoch  8, Batch    329, Loss  0.606529, Average Loss  0.602856, Time  0.221426
2021-09-21 20:41:11.168691 : Epoch  8, Batch    330, Loss  0.604052, Average Loss  0.602827, Time  0.221465
2021-09-21 20:41:12.631920 : Epoch  8, Batch    331, Loss  0.609735, Average Loss  0.602813, Time  0.221631
2021-09-21 20:41:14.092741 : Epoch  8, Batch    332, Loss  0.605306, Average Loss  0.602814, Time  0.221237
2021-09-21 20:41:15.552811 : Epoch  8, Batch    333, Loss  0.600198, Average Loss  0.602855, Time  0.221859
2021-09-21 20:41:17.018939 : Epoch  8, Batch    334, Loss  0.595205, Average Loss  0.602823, Time  0.221353
2021-09-21 20:41:18.485791 : Epoch  8, Batch    335, Loss  0.600428, Average Loss  0.602781, Time  0.221199
2021-09-21 20:41:19.944689 : Epoch  8, Batch    336, Loss  0.589604, Average Loss  0.602690, Time  0.221253
2021-09-21 20:41:21.414704 : Epoch  8, Batch    337, Loss  0.607839, Average Loss  0.602654, Time  0.221283
2021-09-21 20:41:22.874743 : Epoch  8, Batch    338, Loss  0.612279, Average Loss  0.602668, Time  0.221971
2021-09-21 20:41:24.342736 : Epoch  8, Batch    339, Loss  0.594826, Average Loss  0.602664, Time  0.221578
2021-09-21 20:41:25.801845 : Epoch  8, Batch    340, Loss  0.603878, Average Loss  0.602705, Time  0.221498
2021-09-21 20:41:27.260201 : Epoch  8, Batch    341, Loss  0.594796, Average Loss  0.602665, Time  0.221285
2021-09-21 20:41:28.729704 : Epoch  8, Batch    342, Loss  0.605540, Average Loss  0.602647, Time  0.221352
2021-09-21 20:41:30.193474 : Epoch  8, Batch    343, Loss  0.600370, Average Loss  0.602680, Time  0.221538
2021-09-21 20:41:31.649171 : Epoch  8, Batch    344, Loss  0.596944, Average Loss  0.602630, Time  0.221079
2021-09-21 20:41:33.118154 : Epoch  8, Batch    345, Loss  0.609622, Average Loss  0.602634, Time  0.221209
2021-09-21 20:41:34.585944 : Epoch  8, Batch    346, Loss  0.595175, Average Loss  0.602583, Time  0.221778
2021-09-21 20:41:36.049942 : Epoch  8, Batch    347, Loss  0.609485, Average Loss  0.602642, Time  0.221147
2021-09-21 20:41:37.501970 : Epoch  8, Batch    348, Loss  0.603783, Average Loss  0.602659, Time  0.221029
2021-09-21 20:41:38.958823 : Epoch  8, Batch    349, Loss  0.606886, Average Loss  0.602732, Time  0.221550
2021-09-21 20:41:40.417787 : Epoch  8, Batch    350, Loss  0.603452, Average Loss  0.602687, Time  0.221195
2021-09-21 20:41:41.871936 : Epoch  8, Batch    351, Loss  0.599262, Average Loss  0.602671, Time  0.221267
2021-09-21 20:41:43.334185 : Epoch  8, Batch    352, Loss  0.602463, Average Loss  0.602639, Time  0.221487
2021-09-21 20:41:44.800153 : Epoch  8, Batch    353, Loss  0.607776, Average Loss  0.602695, Time  0.221373
2021-09-21 20:41:46.261813 : Epoch  8, Batch    354, Loss  0.612999, Average Loss  0.602722, Time  0.221357
2021-09-21 20:41:47.732761 : Epoch  8, Batch    355, Loss  0.584432, Average Loss  0.602639, Time  0.222158
2021-09-21 20:41:49.188892 : Epoch  8, Batch    356, Loss  0.603916, Average Loss  0.602605, Time  0.221210
2021-09-21 20:41:50.648689 : Epoch  8, Batch    357, Loss  0.595860, Average Loss  0.602599, Time  0.221186
2021-09-21 20:41:52.105916 : Epoch  8, Batch    358, Loss  0.591076, Average Loss  0.602535, Time  0.221058
2021-09-21 20:41:53.559916 : Epoch  8, Batch    359, Loss  0.614000, Average Loss  0.602592, Time  0.221323
2021-09-21 20:41:55.015652 : Epoch  8, Batch    360, Loss  0.602297, Average Loss  0.602556, Time  0.222010
2021-09-21 20:41:56.481888 : Epoch  8, Batch    361, Loss  0.603608, Average Loss  0.602620, Time  0.221667
2021-09-21 20:42:00.275950 : Epoch  8, Batch    362, Loss  0.609512, Average Loss  0.602620, Time  0.259984
2021-09-21 20:42:01.752022 : Epoch  8, Batch    363, Loss  0.597244, Average Loss  0.602559, Time  0.243224
2021-09-21 20:42:03.218772 : Epoch  8, Batch    364, Loss  0.608052, Average Loss  0.602590, Time  0.224033
2021-09-21 20:42:04.680734 : Epoch  8, Batch    365, Loss  0.602730, Average Loss  0.602647, Time  0.224128
2021-09-21 20:42:06.135681 : Epoch  8, Batch    366, Loss  0.604197, Average Loss  0.602725, Time  0.221488
2021-09-21 20:42:07.587116 : Epoch  8, Batch    367, Loss  0.607947, Average Loss  0.602672, Time  0.221098
2021-09-21 20:42:09.070694 : Epoch  8, Batch    368, Loss  0.595164, Average Loss  0.602650, Time  0.221156
2021-09-21 20:42:10.524774 : Epoch  8, Batch    369, Loss  0.597942, Average Loss  0.602669, Time  0.221212
2021-09-21 20:42:11.973872 : Epoch  8, Batch    370, Loss  0.590751, Average Loss  0.602635, Time  0.221223
2021-09-21 20:42:13.433147 : Epoch  8, Batch    371, Loss  0.592555, Average Loss  0.602605, Time  0.221436
2021-09-21 20:42:14.892506 : Epoch  8, Batch    372, Loss  0.607325, Average Loss  0.602603, Time  0.221523
2021-09-21 20:42:16.355974 : Epoch  8, Batch    373, Loss  0.595074, Average Loss  0.602524, Time  0.221579
2021-09-21 20:42:17.833018 : Epoch  8, Batch    374, Loss  0.589895, Average Loss  0.602474, Time  0.221645
2021-09-21 20:42:19.287917 : Epoch  8, Batch    375, Loss  0.600407, Average Loss  0.602527, Time  0.221268
2021-09-21 20:42:20.764158 : Epoch  8, Batch    376, Loss  0.608053, Average Loss  0.602540, Time  0.221069
2021-09-21 20:42:22.234166 : Epoch  8, Batch    377, Loss  0.605293, Average Loss  0.602554, Time  0.221214
2021-09-21 20:42:23.692932 : Epoch  8, Batch    378, Loss  0.610839, Average Loss  0.602576, Time  0.221006
2021-09-21 20:42:25.155041 : Epoch  8, Batch    379, Loss  0.608878, Average Loss  0.602621, Time  0.222726
2021-09-21 20:42:26.618943 : Epoch  8, Batch    380, Loss  0.596585, Average Loss  0.602582, Time  0.221038
2021-09-21 20:42:28.074878 : Epoch  8, Batch    381, Loss  0.603795, Average Loss  0.602529, Time  0.221220
2021-09-21 20:42:29.528130 : Epoch  8, Batch    382, Loss  0.613372, Average Loss  0.602565, Time  0.221817
2021-09-21 20:42:30.987924 : Epoch  8, Batch    383, Loss  0.597684, Average Loss  0.602519, Time  0.221245
2021-09-21 20:42:32.440922 : Epoch  8, Batch    384, Loss  0.592985, Average Loss  0.602348, Time  0.221051
2021-09-21 20:42:33.904930 : Epoch  8, Batch    385, Loss  0.595487, Average Loss  0.602240, Time  0.221571
2021-09-21 20:42:35.374696 : Epoch  8, Batch    386, Loss  0.600153, Average Loss  0.602166, Time  0.221276
2021-09-21 20:42:36.841937 : Epoch  8, Batch    387, Loss  0.590979, Average Loss  0.602130, Time  0.221371
2021-09-21 20:42:38.323929 : Epoch  8, Batch    388, Loss  0.602842, Average Loss  0.602119, Time  0.221995
2021-09-21 20:42:39.783931 : Epoch  8, Batch    389, Loss  0.613496, Average Loss  0.602218, Time  0.221276
2021-09-21 20:42:41.238921 : Epoch  8, Batch    390, Loss  0.588758, Average Loss  0.602127, Time  0.221630
2021-09-21 20:42:42.711174 : Epoch  8, Batch    391, Loss  0.599588, Average Loss  0.602089, Time  0.221209
2021-09-21 20:43:37.793682 : CheckPoint: Validation Loss  0.00026009, Best Loss  0.00024129
2021-09-21 20:43:39.298036 : Epoch  8, Batch    392, Loss  0.602798, Average Loss  0.602093, Time  0.253361
2021-09-21 20:43:40.767483 : Epoch  8, Batch    393, Loss  0.601807, Average Loss  0.602102, Time  0.226201
2021-09-21 20:43:42.227976 : Epoch  8, Batch    394, Loss  0.609459, Average Loss  0.602164, Time  0.221645
2021-09-21 20:43:43.693213 : Epoch  8, Batch    395, Loss  0.599608, Average Loss  0.602179, Time  0.221710
2021-09-21 20:43:45.154965 : Epoch  8, Batch    396, Loss  0.599392, Average Loss  0.602165, Time  0.221004
2021-09-21 20:43:46.618131 : Epoch  8, Batch    397, Loss  0.585720, Average Loss  0.602106, Time  0.221300
2021-09-21 20:43:48.094077 : Epoch  8, Batch    398, Loss  0.598606, Average Loss  0.602086, Time  0.221392
2021-09-21 20:43:49.556851 : Epoch  8, Batch    399, Loss  0.595730, Average Loss  0.602035, Time  0.221470
2021-09-21 20:43:51.045685 : Epoch  8, Batch    400, Loss  0.607704, Average Loss  0.602036, Time  0.245591
2021-09-21 20:43:52.505493 : Epoch  8, Batch    401, Loss  0.602363, Average Loss  0.602061, Time  0.221449
2021-09-21 20:43:53.966021 : Epoch  8, Batch    402, Loss  0.605915, Average Loss  0.602100, Time  0.221694
2021-09-21 20:43:55.433992 : Epoch  8, Batch    403, Loss  0.598913, Average Loss  0.602099, Time  0.221417
2021-09-21 20:43:56.889957 : Epoch  8, Batch    404, Loss  0.592464, Average Loss  0.601989, Time  0.221122
2021-09-21 20:43:58.350965 : Epoch  8, Batch    405, Loss  0.589821, Average Loss  0.601864, Time  0.221566
2021-09-21 20:43:59.805978 : Epoch  8, Batch    406, Loss  0.607226, Average Loss  0.601846, Time  0.221553
2021-09-21 20:44:01.257169 : Epoch  8, Batch    407, Loss  0.595433, Average Loss  0.601800, Time  0.221284
2021-09-21 20:44:02.706999 : Epoch  8, Batch    408, Loss  0.594204, Average Loss  0.601729, Time  0.221324
2021-09-21 20:44:04.175194 : Epoch  8, Batch    409, Loss  0.599992, Average Loss  0.601734, Time  0.221384
2021-09-21 20:44:05.633744 : Epoch  8, Batch    410, Loss  0.611515, Average Loss  0.601735, Time  0.221271
2021-09-21 20:44:07.091919 : Epoch  8, Batch    411, Loss  0.600333, Average Loss  0.601770, Time  0.221308
2021-09-21 20:44:08.552017 : Epoch  8, Batch    412, Loss  0.608005, Average Loss  0.601749, Time  0.221747
2021-09-21 20:44:10.017037 : Epoch  8, Batch    413, Loss  0.605428, Average Loss  0.601739, Time  0.222031
2021-09-21 20:44:11.475087 : Epoch  8, Batch    414, Loss  0.581181, Average Loss  0.601644, Time  0.221123
2021-09-21 20:44:12.923709 : Epoch  8, Batch    415, Loss  0.615324, Average Loss  0.601784, Time  0.221956
2021-09-21 20:44:14.372015 : Epoch  8, Batch    416, Loss  0.603119, Average Loss  0.601763, Time  0.221034
2021-09-21 20:44:15.851071 : Epoch  8, Batch    417, Loss  0.600768, Average Loss  0.601744, Time  0.221623
2021-09-21 20:44:17.314797 : Epoch  8, Batch    418, Loss  0.604577, Average Loss  0.601742, Time  0.221432
2021-09-21 20:44:18.787974 : Epoch  8, Batch    419, Loss  0.614290, Average Loss  0.601822, Time  0.221977
2021-09-21 20:44:20.254965 : Epoch  8, Batch    420, Loss  0.608842, Average Loss  0.601851, Time  0.221355
2021-09-21 20:44:21.703207 : Epoch  8, Batch    421, Loss  0.606217, Average Loss  0.601916, Time  0.221313
2021-09-21 20:44:23.156115 : Epoch  8, Batch    422, Loss  0.614082, Average Loss  0.601956, Time  0.221551
2021-09-21 20:44:24.613037 : Epoch  8, Batch    423, Loss  0.610734, Average Loss  0.601996, Time  0.221461
2021-09-21 20:44:26.072719 : Epoch  8, Batch    424, Loss  0.601173, Average Loss  0.601949, Time  0.221235
2021-09-21 20:44:27.533990 : Epoch  8, Batch    425, Loss  0.616664, Average Loss  0.602022, Time  0.221589
2021-09-21 20:44:28.985950 : Epoch  8, Batch    426, Loss  0.596040, Average Loss  0.601976, Time  0.221181
2021-09-21 20:44:30.442920 : Epoch  8, Batch    427, Loss  0.610077, Average Loss  0.601991, Time  0.221205
2021-09-21 20:44:31.900889 : Epoch  8, Batch    428, Loss  0.607170, Average Loss  0.602004, Time  0.221319
2021-09-21 20:44:33.356874 : Epoch  8, Batch    429, Loss  0.595629, Average Loss  0.601934, Time  0.221831
2021-09-21 20:44:34.816971 : Epoch  8, Batch    430, Loss  0.605083, Average Loss  0.601901, Time  0.221403
2021-09-21 20:44:36.275701 : Epoch  8, Batch    431, Loss  0.610738, Average Loss  0.601938, Time  0.221355
2021-09-21 20:44:37.737932 : Epoch  8, Batch    432, Loss  0.603253, Average Loss  0.601940, Time  0.221411
2021-09-21 20:44:39.194575 : Epoch  8, Batch    433, Loss  0.603479, Average Loss  0.602013, Time  0.221385
2021-09-21 20:44:40.654033 : Epoch  8, Batch    434, Loss  0.600913, Average Loss  0.602030, Time  0.221147
2021-09-21 20:44:42.113220 : Epoch  8, Batch    435, Loss  0.599509, Average Loss  0.602080, Time  0.221468
2021-09-21 20:44:43.563701 : Epoch  8, Batch    436, Loss  0.607249, Average Loss  0.602099, Time  0.221244
2021-09-21 20:44:45.010998 : Epoch  8, Batch    437, Loss  0.603670, Average Loss  0.602101, Time  0.221479
2021-09-21 20:44:46.471857 : Epoch  8, Batch    438, Loss  0.601223, Average Loss  0.602125, Time  0.221428
2021-09-21 20:44:47.935029 : Epoch  8, Batch    439, Loss  0.597380, Average Loss  0.602122, Time  0.221530
2021-09-21 20:44:49.402212 : Epoch  8, Batch    440, Loss  0.596763, Average Loss  0.602114, Time  0.221308
2021-09-21 20:44:50.866741 : Epoch  8, Batch    441, Loss  0.600765, Average Loss  0.602082, Time  0.221621
2021-09-21 20:44:52.325954 : Epoch  8, Batch    442, Loss  0.606232, Average Loss  0.602067, Time  0.221297
2021-09-21 20:44:53.784937 : Epoch  8, Batch    443, Loss  0.614946, Average Loss  0.602134, Time  0.221145
2021-09-21 20:44:55.267944 : Epoch  8, Batch    444, Loss  0.603458, Average Loss  0.602119, Time  0.221433
2021-09-21 20:44:56.729692 : Epoch  8, Batch    445, Loss  0.597077, Average Loss  0.602142, Time  0.222302
2021-09-21 20:44:58.199217 : Epoch  8, Batch    446, Loss  0.591359, Average Loss  0.602027, Time  0.221693
2021-09-21 20:44:59.668985 : Epoch  8, Batch    447, Loss  0.619225, Average Loss  0.602088, Time  0.221442
2021-09-21 20:45:01.128116 : Epoch  8, Batch    448, Loss  0.604095, Average Loss  0.602089, Time  0.221266
2021-09-21 20:45:02.589681 : Epoch  8, Batch    449, Loss  0.596237, Average Loss  0.602081, Time  0.221334
2021-09-21 20:45:04.056142 : Epoch  8, Batch    450, Loss  0.601465, Average Loss  0.602081, Time  0.222013
2021-09-21 20:45:05.536922 : Epoch  8, Batch    451, Loss  0.595139, Average Loss  0.601998, Time  0.221153
2021-09-21 20:45:07.002764 : Epoch  8, Batch    452, Loss  0.593337, Average Loss  0.601949, Time  0.221291
2021-09-21 20:45:08.454053 : Epoch  8, Batch    453, Loss  0.592941, Average Loss  0.601881, Time  0.221979
2021-09-21 20:45:09.916986 : Epoch  8, Batch    454, Loss  0.602629, Average Loss  0.601890, Time  0.221278
2021-09-21 20:45:11.377923 : Epoch  8, Batch    455, Loss  0.609035, Average Loss  0.601903, Time  0.221361
2021-09-21 20:45:12.835225 : Epoch  8, Batch    456, Loss  0.600007, Average Loss  0.601929, Time  0.220933
2021-09-21 20:45:14.292106 : Epoch  8, Batch    457, Loss  0.607172, Average Loss  0.601976, Time  0.221190
2021-09-21 20:45:15.745885 : Epoch  8, Batch    458, Loss  0.607805, Average Loss  0.602023, Time  0.221243
2021-09-21 20:45:17.197754 : Epoch  8, Batch    459, Loss  0.607518, Average Loss  0.602025, Time  0.221586
2021-09-21 20:45:18.656928 : Epoch  8, Batch    460, Loss  0.603561, Average Loss  0.602023, Time  0.221068
2021-09-21 20:45:20.122217 : Epoch  8, Batch    461, Loss  0.592492, Average Loss  0.602002, Time  0.221307
2021-09-21 20:45:23.877379 : Epoch  8, Batch    462, Loss  0.587550, Average Loss  0.601897, Time  0.254893
2021-09-21 20:45:25.326223 : Epoch  8, Batch    463, Loss  0.612104, Average Loss  0.601883, Time  0.227418
2021-09-21 20:45:26.771707 : Epoch  8, Batch    464, Loss  0.608110, Average Loss  0.601951, Time  0.221215
2021-09-21 20:45:28.217686 : Epoch  8, Batch    465, Loss  0.592575, Average Loss  0.601937, Time  0.221305
2021-09-21 20:45:29.660734 : Epoch  8, Batch    466, Loss  0.600242, Average Loss  0.601898, Time  0.221143
2021-09-21 20:45:31.111729 : Epoch  8, Batch    467, Loss  0.603480, Average Loss  0.601895, Time  0.221584
2021-09-21 20:45:32.567062 : Epoch  8, Batch    468, Loss  0.599963, Average Loss  0.601950, Time  0.221423
2021-09-21 20:45:34.029203 : Epoch  8, Batch    469, Loss  0.615887, Average Loss  0.602004, Time  0.221275
2021-09-21 20:45:35.488981 : Epoch  8, Batch    470, Loss  0.608680, Average Loss  0.601957, Time  0.221340
2021-09-21 20:45:36.949110 : Epoch  8, Batch    471, Loss  0.594412, Average Loss  0.601947, Time  0.221319
2021-09-21 20:45:38.393960 : Epoch  8, Batch    472, Loss  0.601183, Average Loss  0.601907, Time  0.221044
2021-09-21 20:45:39.850736 : Epoch  8, Batch    473, Loss  0.603947, Average Loss  0.601888, Time  0.221287
2021-09-21 20:45:41.307672 : Epoch  8, Batch    474, Loss  0.600702, Average Loss  0.601907, Time  0.221345
2021-09-21 20:45:42.761717 : Epoch  8, Batch    475, Loss  0.605841, Average Loss  0.601913, Time  0.221184
2021-09-21 20:45:44.210993 : Epoch  8, Batch    476, Loss  0.602157, Average Loss  0.601892, Time  0.221265
2021-09-21 20:45:45.671190 : Epoch  8, Batch    477, Loss  0.590067, Average Loss  0.601852, Time  0.221223
2021-09-21 20:45:47.127660 : Epoch  8, Batch    478, Loss  0.609779, Average Loss  0.601869, Time  0.221207
2021-09-21 20:45:48.593065 : Epoch  8, Batch    479, Loss  0.591573, Average Loss  0.601858, Time  0.221305
2021-09-21 20:45:50.063926 : Epoch  8, Batch    480, Loss  0.600955, Average Loss  0.601878, Time  0.221385
2021-09-21 20:45:51.521033 : Epoch  8, Batch    481, Loss  0.601310, Average Loss  0.601863, Time  0.221441
2021-09-21 20:45:52.984384 : Epoch  8, Batch    482, Loss  0.605949, Average Loss  0.601862, Time  0.221349
2021-09-21 20:45:54.451153 : Epoch  8, Batch    483, Loss  0.613935, Average Loss  0.601967, Time  0.221521
2021-09-21 20:45:55.920213 : Epoch  8, Batch    484, Loss  0.610217, Average Loss  0.602046, Time  0.221187
2021-09-21 20:45:57.385971 : Epoch  8, Batch    485, Loss  0.590919, Average Loss  0.601969, Time  0.221512
2021-09-21 20:45:58.876036 : Epoch  8, Batch    486, Loss  0.595797, Average Loss  0.601937, Time  0.221981
2021-09-21 20:46:00.340211 : Epoch  8, Batch    487, Loss  0.599608, Average Loss  0.602013, Time  0.221695
2021-09-21 20:46:01.810684 : Epoch  8, Batch    488, Loss  0.610631, Average Loss  0.602031, Time  0.221586
2021-09-21 20:46:03.263946 : Epoch  8, Batch    489, Loss  0.608655, Average Loss  0.602032, Time  0.221900
2021-09-21 20:46:04.750200 : Epoch  8, Batch    490, Loss  0.595657, Average Loss  0.601991, Time  0.220941
2021-09-21 20:46:08.511298 : Epoch  8, Batch    491, Loss  0.605155, Average Loss  0.601994, Time  0.260275
2021-09-21 20:47:03.325684 : CheckPoint: Validation Loss  0.00024238, Best Loss  0.00024129
2021-09-21 20:47:04.821686 : Epoch  8, Batch    492, Loss  0.594974, Average Loss  0.601972, Time  0.252758
2021-09-21 20:47:06.282757 : Epoch  8, Batch    493, Loss  0.601104, Average Loss  0.601960, Time  0.225796
2021-09-21 20:47:07.742011 : Epoch  8, Batch    494, Loss  0.604868, Average Loss  0.601942, Time  0.221718
2021-09-21 20:47:09.201708 : Epoch  8, Batch    495, Loss  0.605766, Average Loss  0.602028, Time  0.221515
2021-09-21 20:47:10.661702 : Epoch  8, Batch    496, Loss  0.596381, Average Loss  0.602045, Time  0.221351
2021-09-21 20:47:12.118905 : Epoch  8, Batch    497, Loss  0.594003, Average Loss  0.602038, Time  0.221980
2021-09-21 20:47:13.580971 : Epoch  8, Batch    498, Loss  0.598179, Average Loss  0.601973, Time  0.221731
2021-09-21 20:47:15.045214 : Epoch  8, Batch    499, Loss  0.605323, Average Loss  0.602033, Time  0.221184
2021-09-21 20:47:16.499972 : Epoch  8, Batch    500, Loss  0.602049, Average Loss  0.602024, Time  0.221308
2021-09-21 20:47:17.959637 : Epoch  8, Batch    501, Loss  0.590767, Average Loss  0.601933, Time  0.222165
2021-09-21 20:47:19.427933 : Epoch  8, Batch    502, Loss  0.602445, Average Loss  0.601919, Time  0.221204
2021-09-21 20:47:20.886021 : Epoch  8, Batch    503, Loss  0.613885, Average Loss  0.601973, Time  0.221541
2021-09-21 20:47:22.343200 : Epoch  8, Batch    504, Loss  0.607230, Average Loss  0.601950, Time  0.221382
2021-09-21 20:47:23.794037 : Epoch  8, Batch    505, Loss  0.602680, Average Loss  0.601947, Time  0.221201
2021-09-21 20:47:25.259703 : Epoch  8, Batch    506, Loss  0.601134, Average Loss  0.601963, Time  0.221129
2021-09-21 20:47:26.720172 : Epoch  8, Batch    507, Loss  0.601706, Average Loss  0.601924, Time  0.221401
2021-09-21 20:47:28.189001 : Epoch  8, Batch    508, Loss  0.608015, Average Loss  0.601974, Time  0.221182
2021-09-21 20:47:29.647222 : Epoch  8, Batch    509, Loss  0.610168, Average Loss  0.602077, Time  0.221472
2021-09-21 20:47:31.106980 : Epoch  8, Batch    510, Loss  0.614943, Average Loss  0.602166, Time  0.221215
2021-09-21 20:47:32.565997 : Epoch  8, Batch    511, Loss  0.605600, Average Loss  0.602194, Time  0.221455
2021-09-21 20:47:34.027018 : Epoch  8, Batch    512, Loss  0.591865, Average Loss  0.602136, Time  0.221641
2021-09-21 20:47:35.494011 : Epoch  8, Batch    513, Loss  0.602186, Average Loss  0.602138, Time  0.221124
2021-09-21 20:47:36.950351 : Epoch  8, Batch    514, Loss  0.601059, Average Loss  0.602095, Time  0.221452
2021-09-21 20:47:38.408198 : Epoch  8, Batch    515, Loss  0.596150, Average Loss  0.602047, Time  0.221056
2021-09-21 20:47:39.867964 : Epoch  8, Batch    516, Loss  0.608849, Average Loss  0.602105, Time  0.221090
2021-09-21 20:47:41.327784 : Epoch  8, Batch    517, Loss  0.600745, Average Loss  0.602142, Time  0.221379
2021-09-21 20:47:42.798213 : Epoch  8, Batch    518, Loss  0.595339, Average Loss  0.602139, Time  0.221097
2021-09-21 20:47:44.250963 : Epoch  8, Batch    519, Loss  0.610500, Average Loss  0.602158, Time  0.221041
2021-09-21 20:47:45.702014 : Epoch  8, Batch    520, Loss  0.594162, Average Loss  0.602136, Time  0.221707
2021-09-21 20:47:47.158213 : Epoch  8, Batch    521, Loss  0.595679, Average Loss  0.602088, Time  0.221278
2021-09-21 20:47:48.620952 : Epoch  8, Batch    522, Loss  0.612112, Average Loss  0.602163, Time  0.220935
2021-09-21 20:47:50.075214 : Epoch  8, Batch    523, Loss  0.603840, Average Loss  0.602212, Time  0.221670
2021-09-21 20:47:51.535061 : Epoch  8, Batch    524, Loss  0.594479, Average Loss  0.602113, Time  0.220972
2021-09-21 20:47:52.999058 : Epoch  8, Batch    525, Loss  0.616898, Average Loss  0.602189, Time  0.221200
2021-09-21 20:47:54.461061 : Epoch  8, Batch    526, Loss  0.602227, Average Loss  0.602143, Time  0.221142
2021-09-21 20:47:55.918967 : Epoch  8, Batch    527, Loss  0.604204, Average Loss  0.602147, Time  0.221196
2021-09-21 20:47:57.379162 : Epoch  8, Batch    528, Loss  0.595457, Average Loss  0.602146, Time  0.221538
2021-09-21 20:47:58.837756 : Epoch  8, Batch    529, Loss  0.596474, Average Loss  0.602096, Time  0.222270
2021-09-21 20:48:00.295752 : Epoch  8, Batch    530, Loss  0.596054, Average Loss  0.602056, Time  0.221187
2021-09-21 20:48:01.755191 : Epoch  8, Batch    531, Loss  0.594164, Average Loss  0.601978, Time  0.221193
2021-09-21 20:48:03.221712 : Epoch  8, Batch    532, Loss  0.598817, Average Loss  0.601946, Time  0.221627
2021-09-21 20:48:04.683207 : Epoch  8, Batch    533, Loss  0.599321, Average Loss  0.601942, Time  0.221303
2021-09-21 20:48:06.140767 : Epoch  8, Batch    534, Loss  0.598992, Average Loss  0.601960, Time  0.221364
2021-09-21 20:48:07.596216 : Epoch  8, Batch    535, Loss  0.602361, Average Loss  0.601970, Time  0.221321
2021-09-21 20:48:09.048972 : Epoch  8, Batch    536, Loss  0.609430, Average Loss  0.602069, Time  0.221267
2021-09-21 20:48:09.180191 : Epoch  8, Batch    537, Loss  0.638419, Average Loss  0.602222, Time  0.086920
2021-09-21 20:48:10.642221 : Epoch  8, Batch    538, Loss  0.610127, Average Loss  0.602211, Time  0.221115
2021-09-21 20:48:12.097968 : Epoch  8, Batch    539, Loss  0.603777, Average Loss  0.602256, Time  0.221608
2021-09-21 20:48:13.561994 : Epoch  8, Batch    540, Loss  0.597891, Average Loss  0.602226, Time  0.221492
2021-09-21 20:48:15.029192 : Epoch  8, Batch    541, Loss  0.606392, Average Loss  0.602284, Time  0.221752
2021-09-21 20:48:16.489683 : Epoch  8, Batch    542, Loss  0.602862, Average Loss  0.602271, Time  0.221193
2021-09-21 20:48:17.949771 : Epoch  8, Batch    543, Loss  0.606804, Average Loss  0.602303, Time  0.221315
2021-09-21 20:48:19.412957 : Epoch  8, Batch    544, Loss  0.615179, Average Loss  0.602394, Time  0.221235
2021-09-21 20:48:20.878798 : Epoch  8, Batch    545, Loss  0.600623, Average Loss  0.602349, Time  0.221026
2021-09-21 20:48:22.338783 : Epoch  8, Batch    546, Loss  0.596198, Average Loss  0.602354, Time  0.221526
2021-09-21 20:48:23.804196 : Epoch  8, Batch    547, Loss  0.606005, Average Loss  0.602337, Time  0.221957
2021-09-21 20:48:25.272771 : Epoch  8, Batch    548, Loss  0.595527, Average Loss  0.602296, Time  0.221062
2021-09-21 20:48:26.738950 : Epoch  8, Batch    549, Loss  0.607444, Average Loss  0.602298, Time  0.221358
2021-09-21 20:48:28.227228 : Epoch  8, Batch    550, Loss  0.602957, Average Loss  0.602296, Time  0.221229
2021-09-21 20:48:29.688751 : Epoch  8, Batch    551, Loss  0.607323, Average Loss  0.602336, Time  0.223400
2021-09-21 20:48:31.149028 : Epoch  8, Batch    552, Loss  0.598122, Average Loss  0.602315, Time  0.221084
2021-09-21 20:48:32.616936 : Epoch  8, Batch    553, Loss  0.599940, Average Loss  0.602275, Time  0.221130
2021-09-21 20:48:34.076985 : Epoch  8, Batch    554, Loss  0.611989, Average Loss  0.602270, Time  0.221410
2021-09-21 20:48:35.539991 : Epoch  8, Batch    555, Loss  0.607100, Average Loss  0.602384, Time  0.221288
2021-09-21 20:48:37.009380 : Epoch  8, Batch    556, Loss  0.616239, Average Loss  0.602445, Time  0.221288
2021-09-21 20:48:38.479014 : Epoch  8, Batch    557, Loss  0.612045, Average Loss  0.602526, Time  0.221543
2021-09-21 20:48:39.947073 : Epoch  8, Batch    558, Loss  0.595808, Average Loss  0.602550, Time  0.221392
2021-09-21 20:48:41.408141 : Epoch  8, Batch    559, Loss  0.604430, Average Loss  0.602502, Time  0.221979
2021-09-21 20:48:42.872963 : Epoch  8, Batch    560, Loss  0.604222, Average Loss  0.602512, Time  0.221587
2021-09-21 20:48:44.328211 : Epoch  8, Batch    561, Loss  0.603623, Average Loss  0.602512, Time  0.221584
2021-09-21 20:48:45.793054 : Epoch  8, Batch    562, Loss  0.593525, Average Loss  0.602432, Time  0.221889
2021-09-21 20:48:49.586989 : Epoch  8, Batch    563, Loss  0.607953, Average Loss  0.602485, Time  0.252152
2021-09-21 20:48:51.060945 : Epoch  8, Batch    564, Loss  0.604387, Average Loss  0.602467, Time  0.225129
2021-09-21 20:48:52.520033 : Epoch  8, Batch    565, Loss  0.598008, Average Loss  0.602443, Time  0.221408
2021-09-21 20:48:53.981922 : Epoch  8, Batch    566, Loss  0.606968, Average Loss  0.602457, Time  0.221326
2021-09-21 20:48:55.437002 : Epoch  8, Batch    567, Loss  0.598151, Average Loss  0.602408, Time  0.221652
2021-09-21 20:48:56.928463 : Epoch  8, Batch    568, Loss  0.597681, Average Loss  0.602421, Time  0.221276
2021-09-21 20:48:58.391226 : Epoch  8, Batch    569, Loss  0.599647, Average Loss  0.602429, Time  0.226520
2021-09-21 20:48:59.847936 : Epoch  8, Batch    570, Loss  0.598314, Average Loss  0.602467, Time  0.221627
2021-09-21 20:49:01.321196 : Epoch  8, Batch    571, Loss  0.603988, Average Loss  0.602524, Time  0.221353
2021-09-21 20:49:02.781706 : Epoch  8, Batch    572, Loss  0.594832, Average Loss  0.602462, Time  0.221427
2021-09-21 20:49:04.242690 : Epoch  8, Batch    573, Loss  0.597652, Average Loss  0.602475, Time  0.221436
2021-09-21 20:49:05.706928 : Epoch  8, Batch    574, Loss  0.601930, Average Loss  0.602535, Time  0.221828
2021-09-21 20:49:07.166979 : Epoch  8, Batch    575, Loss  0.589830, Average Loss  0.602482, Time  0.221217
2021-09-21 20:49:08.621762 : Epoch  8, Batch    576, Loss  0.593592, Average Loss  0.602410, Time  0.221226
2021-09-21 20:49:10.077700 : Epoch  8, Batch    577, Loss  0.601177, Average Loss  0.602389, Time  0.221429
2021-09-21 20:49:11.535955 : Epoch  8, Batch    578, Loss  0.611839, Average Loss  0.602394, Time  0.222011
2021-09-21 20:49:12.995703 : Epoch  8, Batch    579, Loss  0.613192, Average Loss  0.602416, Time  0.221736
2021-09-21 20:49:14.458093 : Epoch  8, Batch    580, Loss  0.603695, Average Loss  0.602451, Time  0.221301
2021-09-21 20:49:15.914933 : Epoch  8, Batch    581, Loss  0.596895, Average Loss  0.602417, Time  0.221279
2021-09-21 20:49:17.379212 : Epoch  8, Batch    582, Loss  0.610365, Average Loss  0.602402, Time  0.221204
2021-09-21 20:49:18.841211 : Epoch  8, Batch    583, Loss  0.608343, Average Loss  0.602455, Time  0.222041
2021-09-21 20:49:20.298214 : Epoch  8, Batch    584, Loss  0.590133, Average Loss  0.602441, Time  0.221083
2021-09-21 20:49:21.754196 : Epoch  8, Batch    585, Loss  0.592626, Average Loss  0.602426, Time  0.221284
2021-09-21 20:49:23.224806 : Epoch  8, Batch    586, Loss  0.604748, Average Loss  0.602449, Time  0.221092
2021-09-21 20:49:24.675996 : Epoch  8, Batch    587, Loss  0.596129, Average Loss  0.602475, Time  0.221211
2021-09-21 20:49:26.141035 : Epoch  8, Batch    588, Loss  0.599101, Average Loss  0.602456, Time  0.221051
2021-09-21 20:49:27.608210 : Epoch  8, Batch    589, Loss  0.600796, Average Loss  0.602393, Time  0.221300
2021-09-21 20:49:29.073023 : Epoch  8, Batch    590, Loss  0.604804, Average Loss  0.602473, Time  0.223192
2021-09-21 20:49:30.540940 : Epoch  8, Batch    591, Loss  0.605897, Average Loss  0.602505, Time  0.221518
2021-09-21 20:50:25.588668 : CheckPoint: Validation Loss  0.00024912, Best Loss  0.00024129
2021-09-21 20:50:27.052753 : Epoch  8, Batch    592, Loss  0.597681, Average Loss  0.602479, Time  0.221832
2021-09-21 20:50:28.514093 : Epoch  8, Batch    593, Loss  0.620338, Average Loss  0.602572, Time  0.221132
2021-09-21 20:50:29.982799 : Epoch  8, Batch    594, Loss  0.605907, Average Loss  0.602554, Time  0.221435
2021-09-21 20:50:31.454923 : Epoch  8, Batch    595, Loss  0.590368, Average Loss  0.602508, Time  0.221068
2021-09-21 20:50:32.923201 : Epoch  8, Batch    596, Loss  0.602564, Average Loss  0.602524, Time  0.221787
2021-09-21 20:50:34.385952 : Epoch  8, Batch    597, Loss  0.606114, Average Loss  0.602626, Time  0.221430
2021-09-21 20:50:35.851926 : Epoch  8, Batch    598, Loss  0.604253, Average Loss  0.602654, Time  0.221216
2021-09-21 20:50:37.319934 : Epoch  8, Batch    599, Loss  0.607077, Average Loss  0.602711, Time  0.221698
2021-09-21 20:50:38.776181 : Epoch  8, Batch    600, Loss  0.607656, Average Loss  0.602710, Time  0.221187
2021-09-21 20:50:40.239916 : Epoch  8, Batch    601, Loss  0.614499, Average Loss  0.602771, Time  0.221167
2021-09-21 20:50:41.701755 : Epoch  8, Batch    602, Loss  0.594916, Average Loss  0.602716, Time  0.221298
2021-09-21 20:50:43.179174 : Epoch  8, Batch    603, Loss  0.601743, Average Loss  0.602730, Time  0.221417
2021-09-21 20:50:44.649960 : Epoch  8, Batch    604, Loss  0.595063, Average Loss  0.602743, Time  0.221553
2021-09-21 20:50:46.110966 : Epoch  8, Batch    605, Loss  0.604421, Average Loss  0.602816, Time  0.221505
2021-09-21 20:50:47.569664 : Epoch  8, Batch    606, Loss  0.607666, Average Loss  0.602818, Time  0.221020
2021-09-21 20:50:49.032180 : Epoch  8, Batch    607, Loss  0.606555, Average Loss  0.602874, Time  0.221545
2021-09-21 20:50:50.498780 : Epoch  8, Batch    608, Loss  0.610520, Average Loss  0.602956, Time  0.221483
2021-09-21 20:50:51.955878 : Epoch  8, Batch    609, Loss  0.597853, Average Loss  0.602945, Time  0.221337
2021-09-21 20:50:53.425928 : Epoch  8, Batch    610, Loss  0.598843, Average Loss  0.602882, Time  0.221128
2021-09-21 20:50:54.897779 : Epoch  8, Batch    611, Loss  0.596579, Average Loss  0.602863, Time  0.221409
2021-09-21 20:50:56.348934 : Epoch  8, Batch    612, Loss  0.603651, Average Loss  0.602841, Time  0.221188
2021-09-21 20:50:57.807603 : Epoch  8, Batch    613, Loss  0.604436, Average Loss  0.602836, Time  0.225117
2021-09-21 20:50:59.269765 : Epoch  8, Batch    614, Loss  0.611587, Average Loss  0.602988, Time  0.221641
2021-09-21 20:51:00.731078 : Epoch  8, Batch    615, Loss  0.618308, Average Loss  0.603003, Time  0.221564
2021-09-21 20:51:02.191933 : Epoch  8, Batch    616, Loss  0.592858, Average Loss  0.602952, Time  0.221359
2021-09-21 20:51:03.654972 : Epoch  8, Batch    617, Loss  0.595499, Average Loss  0.602925, Time  0.221109
2021-09-21 20:51:05.120786 : Epoch  8, Batch    618, Loss  0.604513, Average Loss  0.602925, Time  0.221205
2021-09-21 20:51:06.583221 : Epoch  8, Batch    619, Loss  0.604384, Average Loss  0.602876, Time  0.221417
2021-09-21 20:51:08.033322 : Epoch  8, Batch    620, Loss  0.592454, Average Loss  0.602794, Time  0.221483
2021-09-21 20:51:09.483291 : Epoch  8, Batch    621, Loss  0.613160, Average Loss  0.602828, Time  0.221627
2021-09-21 20:51:10.936914 : Epoch  8, Batch    622, Loss  0.593897, Average Loss  0.602727, Time  0.221291
2021-09-21 20:51:12.399989 : Epoch  8, Batch    623, Loss  0.609647, Average Loss  0.602722, Time  0.221607
2021-09-21 20:51:13.859010 : Epoch  8, Batch    624, Loss  0.608066, Average Loss  0.602756, Time  0.221790
2021-09-21 20:51:15.330931 : Epoch  8, Batch    625, Loss  0.602421, Average Loss  0.602685, Time  0.221674
2021-09-21 20:51:16.798928 : Epoch  8, Batch    626, Loss  0.611446, Average Loss  0.602762, Time  0.221145
2021-09-21 20:51:18.270860 : Epoch  8, Batch    627, Loss  0.596489, Average Loss  0.602694, Time  0.221344
2021-09-21 20:51:19.749719 : Epoch  8, Batch    628, Loss  0.603488, Average Loss  0.602676, Time  0.222531
2021-09-21 20:51:21.219750 : Epoch  8, Batch    629, Loss  0.595215, Average Loss  0.602674, Time  0.221313
2021-09-21 20:51:22.686890 : Epoch  8, Batch    630, Loss  0.619086, Average Loss  0.602744, Time  0.221163
2021-09-21 20:51:24.154903 : Epoch  8, Batch    631, Loss  0.600511, Average Loss  0.602693, Time  0.221991
2021-09-21 20:51:25.614775 : Epoch  8, Batch    632, Loss  0.607403, Average Loss  0.602713, Time  0.221011
2021-09-21 20:51:27.079885 : Epoch  8, Batch    633, Loss  0.594866, Average Loss  0.602670, Time  0.221757
2021-09-21 20:51:28.536028 : Epoch  8, Batch    634, Loss  0.603291, Average Loss  0.602682, Time  0.221983
2021-09-21 20:51:29.989978 : Epoch  8, Batch    635, Loss  0.601499, Average Loss  0.602692, Time  0.221871
2021-09-21 20:51:31.440971 : Epoch  8, Batch    636, Loss  0.604959, Average Loss  0.602681, Time  0.221324
2021-09-21 20:51:32.887038 : Epoch  8, Batch    637, Loss  0.609136, Average Loss  0.602708, Time  0.221551
2021-09-21 20:51:34.362799 : Epoch  8, Batch    638, Loss  0.608633, Average Loss  0.602745, Time  0.221257
2021-09-21 20:51:35.816735 : Epoch  8, Batch    639, Loss  0.610497, Average Loss  0.602811, Time  0.221473
2021-09-21 20:51:37.273927 : Epoch  8, Batch    640, Loss  0.597608, Average Loss  0.602815, Time  0.221302
2021-09-21 20:51:38.721165 : Epoch  8, Batch    641, Loss  0.602488, Average Loss  0.602824, Time  0.220971
2021-09-21 20:51:40.179988 : Epoch  8, Batch    642, Loss  0.609680, Average Loss  0.602841, Time  0.221978
2021-09-21 20:51:41.638926 : Epoch  8, Batch    643, Loss  0.595650, Average Loss  0.602744, Time  0.221209
2021-09-21 20:51:43.107686 : Epoch  8, Batch    644, Loss  0.597270, Average Loss  0.602713, Time  0.221419
2021-09-21 20:51:44.575172 : Epoch  8, Batch    645, Loss  0.597913, Average Loss  0.602718, Time  0.222862
2021-09-21 20:51:46.049995 : Epoch  8, Batch    646, Loss  0.602933, Average Loss  0.602775, Time  0.222876
2021-09-21 20:51:47.520692 : Epoch  8, Batch    647, Loss  0.609714, Average Loss  0.602728, Time  0.221874
2021-09-21 20:51:49.000806 : Epoch  8, Batch    648, Loss  0.601177, Average Loss  0.602713, Time  0.222639
2021-09-21 20:51:50.465984 : Epoch  8, Batch    649, Loss  0.581468, Average Loss  0.602639, Time  0.221632
2021-09-21 20:51:51.953729 : Epoch  8, Batch    650, Loss  0.599739, Average Loss  0.602631, Time  0.222028
2021-09-21 20:51:53.424186 : Epoch  8, Batch    651, Loss  0.596759, Average Loss  0.602639, Time  0.221514
2021-09-21 20:51:54.891999 : Epoch  8, Batch    652, Loss  0.598986, Average Loss  0.602667, Time  0.221831
2021-09-21 20:51:56.354155 : Epoch  8, Batch    653, Loss  0.609889, Average Loss  0.602752, Time  0.221805
2021-09-21 20:51:57.821583 : Epoch  8, Batch    654, Loss  0.597962, Average Loss  0.602729, Time  0.221498
2021-09-21 20:51:59.282929 : Epoch  8, Batch    655, Loss  0.611978, Average Loss  0.602743, Time  0.221435
2021-09-21 20:52:00.739853 : Epoch  8, Batch    656, Loss  0.604863, Average Loss  0.602768, Time  0.221382
2021-09-21 20:52:02.205453 : Epoch  8, Batch    657, Loss  0.597587, Average Loss  0.602720, Time  0.221886
2021-09-21 20:52:03.665704 : Epoch  8, Batch    658, Loss  0.604780, Average Loss  0.602704, Time  0.221531
2021-09-21 20:52:05.132041 : Epoch  8, Batch    659, Loss  0.615415, Average Loss  0.602744, Time  0.221412
2021-09-21 20:52:06.598246 : Epoch  8, Batch    660, Loss  0.605027, Average Loss  0.602751, Time  0.221914
2021-09-21 20:52:08.062763 : Epoch  8, Batch    661, Loss  0.599017, Average Loss  0.602784, Time  0.222135
2021-09-21 20:52:11.902322 : Epoch  8, Batch    662, Loss  0.596545, Average Loss  0.602829, Time  0.256170
2021-09-21 20:52:13.356788 : Epoch  8, Batch    663, Loss  0.605631, Average Loss  0.602797, Time  0.231991
2021-09-21 20:52:14.808203 : Epoch  8, Batch    664, Loss  0.600472, Average Loss  0.602758, Time  0.221597
2021-09-21 20:52:16.251924 : Epoch  8, Batch    665, Loss  0.612771, Average Loss  0.602859, Time  0.221929
2021-09-21 20:52:17.712970 : Epoch  8, Batch    666, Loss  0.591263, Average Loss  0.602814, Time  0.221303
2021-09-21 20:52:19.166430 : Epoch  8, Batch    667, Loss  0.610615, Average Loss  0.602850, Time  0.221596
2021-09-21 20:52:20.613514 : Epoch  8, Batch    668, Loss  0.605767, Average Loss  0.602879, Time  0.221429
2021-09-21 20:52:22.077018 : Epoch  8, Batch    669, Loss  0.593747, Average Loss  0.602768, Time  0.221920
2021-09-21 20:52:23.532874 : Epoch  8, Batch    670, Loss  0.602215, Average Loss  0.602736, Time  0.221465
2021-09-21 20:52:24.986947 : Epoch  8, Batch    671, Loss  0.595958, Average Loss  0.602744, Time  0.221347
2021-09-21 20:52:26.456747 : Epoch  8, Batch    672, Loss  0.600299, Average Loss  0.602739, Time  0.221275
2021-09-21 20:52:27.916763 : Epoch  8, Batch    673, Loss  0.598511, Average Loss  0.602712, Time  0.221487
2021-09-21 20:52:29.367825 : Epoch  8, Batch    674, Loss  0.599290, Average Loss  0.602705, Time  0.221315
2021-09-21 20:52:30.836136 : Epoch  8, Batch    675, Loss  0.586276, Average Loss  0.602607, Time  0.222100
2021-09-21 20:52:32.291353 : Epoch  8, Batch    676, Loss  0.601427, Average Loss  0.602604, Time  0.221425
2021-09-21 20:52:33.749611 : Epoch  8, Batch    677, Loss  0.592624, Average Loss  0.602616, Time  0.222284
2021-09-21 20:52:35.213957 : Epoch  8, Batch    678, Loss  0.610189, Average Loss  0.602619, Time  0.221584
2021-09-21 20:52:36.677922 : Epoch  8, Batch    679, Loss  0.602580, Average Loss  0.602674, Time  0.221338
2021-09-21 20:52:38.137721 : Epoch  8, Batch    680, Loss  0.601578, Average Loss  0.602677, Time  0.221446
2021-09-21 20:52:39.604754 : Epoch  8, Batch    681, Loss  0.609378, Average Loss  0.602717, Time  0.222023
2021-09-21 20:52:41.069944 : Epoch  8, Batch    682, Loss  0.601512, Average Loss  0.602695, Time  0.221438
2021-09-21 20:52:42.526022 : Epoch  8, Batch    683, Loss  0.600611, Average Loss  0.602628, Time  0.221312
2021-09-21 20:52:43.985873 : Epoch  8, Batch    684, Loss  0.597949, Average Loss  0.602567, Time  0.221147
2021-09-21 20:52:45.452902 : Epoch  8, Batch    685, Loss  0.618668, Average Loss  0.602706, Time  0.221440
2021-09-21 20:52:46.942704 : Epoch  8, Batch    686, Loss  0.604911, Average Loss  0.602751, Time  0.221345
2021-09-21 20:52:48.396719 : Epoch  8, Batch    687, Loss  0.614464, Average Loss  0.602825, Time  0.221453
2021-09-21 20:52:49.842098 : Epoch  8, Batch    688, Loss  0.600585, Average Loss  0.602775, Time  0.221005
2021-09-21 20:52:51.286857 : Epoch  8, Batch    689, Loss  0.603218, Average Loss  0.602748, Time  0.221538
2021-09-21 20:52:52.739703 : Epoch  8, Batch    690, Loss  0.605013, Average Loss  0.602795, Time  0.221396
2021-09-21 20:52:54.200704 : Epoch  8, Batch    691, Loss  0.600482, Average Loss  0.602771, Time  0.221573
2021-09-21 20:53:49.002679 : CheckPoint: Validation Loss  0.00025439, Best Loss  0.00024129
2021-09-21 20:53:50.463791 : Epoch  8, Batch    692, Loss  0.602737, Average Loss  0.602810, Time  0.221514
2021-09-21 20:53:51.919918 : Epoch  8, Batch    693, Loss  0.591243, Average Loss  0.602761, Time  0.221313
2021-09-21 20:53:53.382726 : Epoch  8, Batch    694, Loss  0.599167, Average Loss  0.602732, Time  0.221349
2021-09-21 20:53:54.843226 : Epoch  8, Batch    695, Loss  0.596542, Average Loss  0.602686, Time  0.221475
2021-09-21 20:53:56.305028 : Epoch  8, Batch    696, Loss  0.597380, Average Loss  0.602691, Time  0.221480
2021-09-21 20:53:57.764005 : Epoch  8, Batch    697, Loss  0.595025, Average Loss  0.602696, Time  0.221569
2021-09-21 20:53:59.217695 : Epoch  8, Batch    698, Loss  0.604938, Average Loss  0.602730, Time  0.221159
2021-09-21 20:54:00.668982 : Epoch  8, Batch    699, Loss  0.615853, Average Loss  0.602783, Time  0.221089
2021-09-21 20:54:02.132921 : Epoch  8, Batch    700, Loss  0.594899, Average Loss  0.602747, Time  0.221152
2021-09-21 20:54:03.594208 : Epoch  8, Batch    701, Loss  0.624838, Average Loss  0.602918, Time  0.221503
2021-09-21 20:54:05.051192 : Epoch  8, Batch    702, Loss  0.597722, Average Loss  0.602894, Time  0.220861
2021-09-21 20:54:06.499768 : Epoch  8, Batch    703, Loss  0.600611, Average Loss  0.602828, Time  0.222084
2021-09-21 20:54:07.948976 : Epoch  8, Batch    704, Loss  0.615184, Average Loss  0.602867, Time  0.221140
2021-09-21 20:54:09.396908 : Epoch  8, Batch    705, Loss  0.595798, Average Loss  0.602833, Time  0.221135
2021-09-21 20:54:10.852954 : Epoch  8, Batch    706, Loss  0.606110, Average Loss  0.602858, Time  0.221654
2021-09-21 20:54:12.308335 : Epoch  8, Batch    707, Loss  0.607809, Average Loss  0.602888, Time  0.221338
2021-09-21 20:54:13.760221 : Epoch  8, Batch    708, Loss  0.606368, Average Loss  0.602880, Time  0.221305
2021-09-21 20:54:15.227213 : Epoch  8, Batch    709, Loss  0.605493, Average Loss  0.602857, Time  0.221921
2021-09-21 20:54:16.681122 : Epoch  8, Batch    710, Loss  0.615725, Average Loss  0.602861, Time  0.221205
2021-09-21 20:54:18.143925 : Epoch  8, Batch    711, Loss  0.603523, Average Loss  0.602850, Time  0.222028
2021-09-21 20:54:19.668210 : Epoch  8, Batch    712, Loss  0.616113, Average Loss  0.602971, Time  0.221409
2021-09-21 20:54:21.119954 : Epoch  8, Batch    713, Loss  0.600030, Average Loss  0.602961, Time  0.221210
2021-09-21 20:54:22.578948 : Epoch  8, Batch    714, Loss  0.604122, Average Loss  0.602976, Time  0.221465
2021-09-21 20:54:24.023213 : Epoch  8, Batch    715, Loss  0.612477, Average Loss  0.603058, Time  0.221346
2021-09-21 20:54:25.478115 : Epoch  8, Batch    716, Loss  0.595924, Average Loss  0.602993, Time  0.221442
2021-09-21 20:54:26.933917 : Epoch  8, Batch    717, Loss  0.605298, Average Loss  0.603016, Time  0.221415
2021-09-21 20:54:28.398203 : Epoch  8, Batch    718, Loss  0.605389, Average Loss  0.603066, Time  0.221170
2021-09-21 20:54:29.841918 : Epoch  8, Batch    719, Loss  0.600125, Average Loss  0.603014, Time  0.221056
2021-09-21 20:54:31.307943 : Epoch  8, Batch    720, Loss  0.604123, Average Loss  0.603064, Time  0.221665
2021-09-21 20:54:32.765052 : Epoch  8, Batch    721, Loss  0.599823, Average Loss  0.603085, Time  0.221401
2021-09-21 20:54:34.217953 : Epoch  8, Batch    722, Loss  0.605382, Average Loss  0.603051, Time  0.221236
2021-09-21 20:54:35.680066 : Epoch  8, Batch    723, Loss  0.600643, Average Loss  0.603035, Time  0.221649
2021-09-21 20:54:37.136928 : Epoch  8, Batch    724, Loss  0.590849, Average Loss  0.603017, Time  0.220961
2021-09-21 20:54:38.589839 : Epoch  8, Batch    725, Loss  0.609691, Average Loss  0.602981, Time  0.221301
2021-09-21 20:54:40.042978 : Epoch  8, Batch    726, Loss  0.604672, Average Loss  0.602993, Time  0.221343
2021-09-21 20:54:41.496206 : Epoch  8, Batch    727, Loss  0.603612, Average Loss  0.602990, Time  0.221451
2021-09-21 20:54:42.949012 : Epoch  8, Batch    728, Loss  0.601622, Average Loss  0.603021, Time  0.221312
2021-09-21 20:54:44.410211 : Epoch  8, Batch    729, Loss  0.596921, Average Loss  0.603023, Time  0.221488
2021-09-21 20:54:45.873928 : Epoch  8, Batch    730, Loss  0.597539, Average Loss  0.603031, Time  0.221181
2021-09-21 20:54:47.326225 : Epoch  8, Batch    731, Loss  0.610274, Average Loss  0.603111, Time  0.222863
2021-09-21 20:54:48.786744 : Epoch  8, Batch    732, Loss  0.616229, Average Loss  0.603198, Time  0.221206
2021-09-21 20:54:50.253943 : Epoch  8, Batch    733, Loss  0.605746, Average Loss  0.603230, Time  0.221061
2021-09-21 20:54:51.713735 : Epoch  8, Batch    734, Loss  0.609154, Average Loss  0.603281, Time  0.221291
2021-09-21 20:54:53.180052 : Epoch  8, Batch    735, Loss  0.597015, Average Loss  0.603254, Time  0.221552
2021-09-21 20:54:54.636734 : Epoch  8, Batch    736, Loss  0.599402, Average Loss  0.603204, Time  0.221186
2021-09-21 20:54:56.112201 : Epoch  8, Batch    737, Loss  0.597614, Average Loss  0.603000, Time  0.221461
2021-09-21 20:54:57.568198 : Epoch  8, Batch    738, Loss  0.610890, Average Loss  0.603004, Time  0.221154
2021-09-21 20:54:59.026992 : Epoch  8, Batch    739, Loss  0.607717, Average Loss  0.603024, Time  0.221330
2021-09-21 20:55:00.490020 : Epoch  8, Batch    740, Loss  0.599865, Average Loss  0.603034, Time  0.221903
2021-09-21 20:55:01.946212 : Epoch  8, Batch    741, Loss  0.604354, Average Loss  0.603023, Time  0.221406
2021-09-21 20:55:03.405717 : Epoch  8, Batch    742, Loss  0.605584, Average Loss  0.603037, Time  0.221331
2021-09-21 20:55:04.879234 : Epoch  8, Batch    743, Loss  0.610601, Average Loss  0.603056, Time  0.222083
2021-09-21 20:55:06.339781 : Epoch  8, Batch    744, Loss  0.600261, Average Loss  0.602981, Time  0.221295
2021-09-21 20:55:07.789181 : Epoch  8, Batch    745, Loss  0.605224, Average Loss  0.603004, Time  0.221280
2021-09-21 20:55:09.239937 : Epoch  8, Batch    746, Loss  0.617046, Average Loss  0.603109, Time  0.221267
2021-09-21 20:55:10.688212 : Epoch  8, Batch    747, Loss  0.596987, Average Loss  0.603064, Time  0.221221
2021-09-21 20:55:12.138786 : Epoch  8, Batch    748, Loss  0.596365, Average Loss  0.603068, Time  0.220995
2021-09-21 20:55:13.590209 : Epoch  8, Batch    749, Loss  0.605901, Average Loss  0.603060, Time  0.221423
2021-09-21 20:55:15.061296 : Epoch  8, Batch    750, Loss  0.582493, Average Loss  0.602958, Time  0.221106
2021-09-21 20:55:16.512044 : Epoch  8, Batch    751, Loss  0.617075, Average Loss  0.603006, Time  0.221364
2021-09-21 20:55:17.995752 : Epoch  8, Batch    752, Loss  0.619782, Average Loss  0.603115, Time  0.221783
2021-09-21 20:55:19.441100 : Epoch  8, Batch    753, Loss  0.596516, Average Loss  0.603098, Time  0.221409
2021-09-21 20:55:20.901005 : Epoch  8, Batch    754, Loss  0.605711, Average Loss  0.603066, Time  0.221444
2021-09-21 20:55:22.380200 : Epoch  8, Batch    755, Loss  0.600922, Average Loss  0.603035, Time  0.221221
2021-09-21 20:55:23.837223 : Epoch  8, Batch    756, Loss  0.597373, Average Loss  0.602941, Time  0.221107
2021-09-21 20:55:25.308949 : Epoch  8, Batch    757, Loss  0.595135, Average Loss  0.602857, Time  0.222808
2021-09-21 20:55:26.765695 : Epoch  8, Batch    758, Loss  0.614243, Average Loss  0.602949, Time  0.221270
2021-09-21 20:55:28.219196 : Epoch  8, Batch    759, Loss  0.609319, Average Loss  0.602973, Time  0.221225
2021-09-21 20:55:29.686785 : Epoch  8, Batch    760, Loss  0.597078, Average Loss  0.602937, Time  0.221673
2021-09-21 20:55:31.147146 : Epoch  8, Batch    761, Loss  0.601254, Average Loss  0.602926, Time  0.221386
2021-09-21 20:55:34.949795 : Epoch  8, Batch    762, Loss  0.608079, Average Loss  0.602998, Time  0.256375
2021-09-21 20:55:36.397126 : Epoch  8, Batch    763, Loss  0.609244, Average Loss  0.603005, Time  0.224312
2021-09-21 20:55:37.883229 : Epoch  8, Batch    764, Loss  0.601532, Average Loss  0.602991, Time  0.221440
2021-09-21 20:55:39.337999 : Epoch  8, Batch    765, Loss  0.608107, Average Loss  0.603041, Time  0.221944
2021-09-21 20:55:40.788036 : Epoch  8, Batch    766, Loss  0.607290, Average Loss  0.603043, Time  0.221232
2021-09-21 20:55:42.247718 : Epoch  8, Batch    767, Loss  0.596641, Average Loss  0.603035, Time  0.221419
2021-09-21 20:55:43.704200 : Epoch  8, Batch    768, Loss  0.594071, Average Loss  0.603017, Time  0.220810
2021-09-21 20:55:45.159132 : Epoch  8, Batch    769, Loss  0.590496, Average Loss  0.602971, Time  0.222043
2021-09-21 20:55:46.617977 : Epoch  8, Batch    770, Loss  0.598730, Average Loss  0.602973, Time  0.221398
2021-09-21 20:55:48.071093 : Epoch  8, Batch    771, Loss  0.596319, Average Loss  0.602935, Time  0.221135
2021-09-21 20:55:49.525982 : Epoch  8, Batch    772, Loss  0.606422, Average Loss  0.602993, Time  0.221369
2021-09-21 20:55:50.990769 : Epoch  8, Batch    773, Loss  0.601165, Average Loss  0.603011, Time  0.222102
2021-09-21 20:55:52.444066 : Epoch  8, Batch    774, Loss  0.592551, Average Loss  0.602964, Time  0.220961
2021-09-21 20:55:53.900952 : Epoch  8, Batch    775, Loss  0.594837, Average Loss  0.602989, Time  0.221576
2021-09-21 20:55:55.361012 : Epoch  8, Batch    776, Loss  0.593136, Average Loss  0.602986, Time  0.221801
2021-09-21 20:55:56.824676 : Epoch  8, Batch    777, Loss  0.608231, Average Loss  0.603022, Time  0.221405
2021-09-21 20:55:58.276691 : Epoch  8, Batch    778, Loss  0.611645, Average Loss  0.603021, Time  0.221173
2021-09-21 20:55:59.736035 : Epoch  8, Batch    779, Loss  0.605181, Average Loss  0.602981, Time  0.221738
2021-09-21 20:56:01.189956 : Epoch  8, Batch    780, Loss  0.596891, Average Loss  0.602947, Time  0.221150
2021-09-21 20:56:02.647706 : Epoch  8, Batch    781, Loss  0.605629, Average Loss  0.602990, Time  0.221329
2021-09-21 20:56:04.103134 : Epoch  8, Batch    782, Loss  0.597108, Average Loss  0.602924, Time  0.221175
2021-09-21 20:56:05.557934 : Epoch  8, Batch    783, Loss  0.598191, Average Loss  0.602873, Time  0.221147
2021-09-21 20:56:07.013727 : Epoch  8, Batch    784, Loss  0.599943, Average Loss  0.602922, Time  0.221233
2021-09-21 20:56:08.469800 : Epoch  8, Batch    785, Loss  0.600550, Average Loss  0.602962, Time  0.221624
2021-09-21 20:56:09.925961 : Epoch  8, Batch    786, Loss  0.606619, Average Loss  0.602971, Time  0.221409
2021-09-21 20:56:11.377786 : Epoch  8, Batch    787, Loss  0.605676, Average Loss  0.603019, Time  0.221181
2021-09-21 20:56:11.410552 : Saving Model after 8-th Epoch.
2021-09-21 20:56:12.225588 : Epoch Finished.
2021-09-21 20:56:14.482590 : Batch Shuffled
2021-09-21 20:56:15.946013 : Epoch  9, Batch      1, Loss  0.598149, Average Loss  0.603014, Time  0.221299
2021-09-21 20:56:17.399619 : Epoch  9, Batch      2, Loss  0.597619, Average Loss  0.602998, Time  0.221475
2021-09-21 20:56:18.844204 : Epoch  9, Batch      3, Loss  0.600740, Average Loss  0.602978, Time  0.221340
2021-09-21 20:56:20.294922 : Epoch  9, Batch      4, Loss  0.604870, Average Loss  0.602973, Time  0.221166
2021-09-21 20:57:15.064693 : CheckPoint: Validation Loss  0.00024719, Best Loss  0.00024129
2021-09-21 20:57:16.534012 : Epoch  9, Batch      5, Loss  0.620248, Average Loss  0.603086, Time  0.221621
2021-09-21 20:57:17.994940 : Epoch  9, Batch      6, Loss  0.607213, Average Loss  0.603020, Time  0.221351
2021-09-21 20:57:19.469778 : Epoch  9, Batch      7, Loss  0.595662, Average Loss  0.602969, Time  0.221379
2021-09-21 20:57:20.928765 : Epoch  9, Batch      8, Loss  0.601343, Average Loss  0.603024, Time  0.221273
2021-09-21 20:57:22.403924 : Epoch  9, Batch      9, Loss  0.600920, Average Loss  0.603016, Time  0.221721
2021-09-21 20:57:23.865206 : Epoch  9, Batch     10, Loss  0.591873, Average Loss  0.602944, Time  0.221281
2021-09-21 20:57:25.323933 : Epoch  9, Batch     11, Loss  0.610003, Average Loss  0.602973, Time  0.221292
2021-09-21 20:57:26.778961 : Epoch  9, Batch     12, Loss  0.604189, Average Loss  0.602959, Time  0.221308
2021-09-21 20:57:28.239057 : Epoch  9, Batch     13, Loss  0.596389, Average Loss  0.602902, Time  0.221353
2021-09-21 20:57:29.693975 : Epoch  9, Batch     14, Loss  0.597848, Average Loss  0.602819, Time  0.221352
2021-09-21 20:57:31.158973 : Epoch  9, Batch     15, Loss  0.599638, Average Loss  0.602843, Time  0.221757
2021-09-21 20:57:32.616719 : Epoch  9, Batch     16, Loss  0.614889, Average Loss  0.602908, Time  0.221225
2021-09-21 20:57:34.068042 : Epoch  9, Batch     17, Loss  0.605614, Average Loss  0.602961, Time  0.221525
2021-09-21 20:57:35.540742 : Epoch  9, Batch     18, Loss  0.609457, Average Loss  0.602986, Time  0.221074
2021-09-21 20:57:36.997059 : Epoch  9, Batch     19, Loss  0.602110, Average Loss  0.602959, Time  0.221310
2021-09-21 20:57:38.451691 : Epoch  9, Batch     20, Loss  0.614609, Average Loss  0.602999, Time  0.221313
2021-09-21 20:57:39.913708 : Epoch  9, Batch     21, Loss  0.609736, Average Loss  0.602995, Time  0.221225
2021-09-21 20:57:41.379958 : Epoch  9, Batch     22, Loss  0.602724, Average Loss  0.603019, Time  0.221508
2021-09-21 20:57:42.845961 : Epoch  9, Batch     23, Loss  0.605639, Average Loss  0.603053, Time  0.221292
2021-09-21 20:57:44.308869 : Epoch  9, Batch     24, Loss  0.612771, Average Loss  0.603134, Time  0.222288
2021-09-21 20:57:45.767704 : Epoch  9, Batch     25, Loss  0.602103, Average Loss  0.603126, Time  0.221598
2021-09-21 20:57:47.229890 : Epoch  9, Batch     26, Loss  0.594219, Average Loss  0.603075, Time  0.221311
2021-09-21 20:57:48.693839 : Epoch  9, Batch     27, Loss  0.606879, Average Loss  0.603052, Time  0.221830
2021-09-21 20:57:50.153924 : Epoch  9, Batch     28, Loss  0.594566, Average Loss  0.602933, Time  0.221255
2021-09-21 20:57:51.610924 : Epoch  9, Batch     29, Loss  0.611818, Average Loss  0.603028, Time  0.221123
2021-09-21 20:57:53.066909 : Epoch  9, Batch     30, Loss  0.592699, Average Loss  0.603014, Time  0.221367
2021-09-21 20:57:54.540219 : Epoch  9, Batch     31, Loss  0.605493, Average Loss  0.603019, Time  0.220980
2021-09-21 20:57:55.995100 : Epoch  9, Batch     32, Loss  0.603193, Average Loss  0.603013, Time  0.221360
2021-09-21 20:57:57.459013 : Epoch  9, Batch     33, Loss  0.601518, Average Loss  0.603058, Time  0.221415
2021-09-21 20:57:58.923697 : Epoch  9, Batch     34, Loss  0.608792, Average Loss  0.603036, Time  0.221443
2021-09-21 20:58:00.383950 : Epoch  9, Batch     35, Loss  0.603895, Average Loss  0.603086, Time  0.221567
2021-09-21 20:58:01.840995 : Epoch  9, Batch     36, Loss  0.609500, Average Loss  0.603086, Time  0.221604
2021-09-21 20:58:03.298770 : Epoch  9, Batch     37, Loss  0.610347, Average Loss  0.603097, Time  0.221362
2021-09-21 20:58:04.758970 : Epoch  9, Batch     38, Loss  0.603993, Average Loss  0.603105, Time  0.222291
2021-09-21 20:58:06.220915 : Epoch  9, Batch     39, Loss  0.593627, Average Loss  0.603016, Time  0.221397
2021-09-21 20:58:07.676802 : Epoch  9, Batch     40, Loss  0.598872, Average Loss  0.603028, Time  0.221238
2021-09-21 20:58:09.135736 : Epoch  9, Batch     41, Loss  0.588985, Average Loss  0.602955, Time  0.221410
2021-09-21 20:58:10.593921 : Epoch  9, Batch     42, Loss  0.600160, Average Loss  0.602980, Time  0.221303
2021-09-21 20:58:12.045070 : Epoch  9, Batch     43, Loss  0.603592, Average Loss  0.602902, Time  0.220923
2021-09-21 20:58:13.512159 : Epoch  9, Batch     44, Loss  0.596960, Average Loss  0.602885, Time  0.221680
2021-09-21 20:58:14.977956 : Epoch  9, Batch     45, Loss  0.608680, Average Loss  0.602891, Time  0.221307
2021-09-21 20:58:16.441731 : Epoch  9, Batch     46, Loss  0.603791, Average Loss  0.602936, Time  0.221354
2021-09-21 20:58:17.995237 : Epoch  9, Batch     47, Loss  0.602980, Average Loss  0.602934, Time  0.221459
2021-09-21 20:58:19.454972 : Epoch  9, Batch     48, Loss  0.594751, Average Loss  0.602900, Time  0.221458
2021-09-21 20:58:20.938050 : Epoch  9, Batch     49, Loss  0.606739, Average Loss  0.602909, Time  0.221082
2021-09-21 20:58:22.403575 : Epoch  9, Batch     50, Loss  0.600426, Average Loss  0.602866, Time  0.221574
2021-09-21 20:58:23.868691 : Epoch  9, Batch     51, Loss  0.601002, Average Loss  0.602828, Time  0.221086
2021-09-21 20:58:25.323753 : Epoch  9, Batch     52, Loss  0.601003, Average Loss  0.602780, Time  0.221462
2021-09-21 20:58:26.789767 : Epoch  9, Batch     53, Loss  0.604030, Average Loss  0.602812, Time  0.221353
2021-09-21 20:58:28.244063 : Epoch  9, Batch     54, Loss  0.603565, Average Loss  0.602818, Time  0.221254
2021-09-21 20:58:29.699268 : Epoch  9, Batch     55, Loss  0.622963, Average Loss  0.602884, Time  0.222975
2021-09-21 20:58:31.158206 : Epoch  9, Batch     56, Loss  0.598227, Average Loss  0.602897, Time  0.221187
2021-09-21 20:58:32.611845 : Epoch  9, Batch     57, Loss  0.600018, Average Loss  0.602911, Time  0.221248
2021-09-21 20:58:34.073054 : Epoch  9, Batch     58, Loss  0.610896, Average Loss  0.602976, Time  0.221691
2021-09-21 20:58:35.530718 : Epoch  9, Batch     59, Loss  0.602723, Average Loss  0.602974, Time  0.221346
2021-09-21 20:58:36.990929 : Epoch  9, Batch     60, Loss  0.601238, Average Loss  0.602932, Time  0.221066
2021-09-21 20:58:38.450813 : Epoch  9, Batch     61, Loss  0.604807, Average Loss  0.602950, Time  0.222096
2021-09-21 20:58:39.908930 : Epoch  9, Batch     62, Loss  0.605901, Average Loss  0.603072, Time  0.221194
2021-09-21 20:58:41.373787 : Epoch  9, Batch     63, Loss  0.600507, Average Loss  0.603076, Time  0.221368
2021-09-21 20:58:42.827225 : Epoch  9, Batch     64, Loss  0.600474, Average Loss  0.603095, Time  0.221741
2021-09-21 20:58:44.298956 : Epoch  9, Batch     65, Loss  0.599570, Average Loss  0.603098, Time  0.221024
2021-09-21 20:58:45.764720 : Epoch  9, Batch     66, Loss  0.600778, Average Loss  0.603052, Time  0.221167
2021-09-21 20:58:47.221931 : Epoch  9, Batch     67, Loss  0.610250, Average Loss  0.603114, Time  0.221170
2021-09-21 20:58:48.682032 : Epoch  9, Batch     68, Loss  0.612247, Average Loss  0.603115, Time  0.222403
2021-09-21 20:58:50.131006 : Epoch  9, Batch     69, Loss  0.612193, Average Loss  0.603152, Time  0.220895
2021-09-21 20:58:51.593191 : Epoch  9, Batch     70, Loss  0.611197, Average Loss  0.603220, Time  0.221579
2021-09-21 20:58:53.045192 : Epoch  9, Batch     71, Loss  0.604156, Average Loss  0.603217, Time  0.220981
2021-09-21 20:58:54.504056 : Epoch  9, Batch     72, Loss  0.596862, Average Loss  0.603124, Time  0.221315
2021-09-21 20:58:55.962414 : Epoch  9, Batch     73, Loss  0.596885, Average Loss  0.603083, Time  0.221733
2021-09-21 20:58:57.430667 : Epoch  9, Batch     74, Loss  0.609751, Average Loss  0.603137, Time  0.222386
2021-09-21 20:59:01.249703 : Epoch  9, Batch     75, Loss  0.595916, Average Loss  0.603134, Time  0.261608
2021-09-21 20:59:02.712136 : Epoch  9, Batch     76, Loss  0.604910, Average Loss  0.603130, Time  0.231180
2021-09-21 20:59:04.166039 : Epoch  9, Batch     77, Loss  0.597208, Average Loss  0.603114, Time  0.221832
2021-09-21 20:59:05.613080 : Epoch  9, Batch     78, Loss  0.595225, Average Loss  0.603026, Time  0.221277
2021-09-21 20:59:07.067048 : Epoch  9, Batch     79, Loss  0.595666, Average Loss  0.603048, Time  0.221249
2021-09-21 20:59:08.526699 : Epoch  9, Batch     80, Loss  0.610103, Average Loss  0.603045, Time  0.221534
2021-09-21 20:59:09.985959 : Epoch  9, Batch     81, Loss  0.593646, Average Loss  0.602985, Time  0.221111
2021-09-21 20:59:11.447936 : Epoch  9, Batch     82, Loss  0.611087, Average Loss  0.603072, Time  0.221421
2021-09-21 20:59:12.913695 : Epoch  9, Batch     83, Loss  0.600171, Average Loss  0.603061, Time  0.221227
2021-09-21 20:59:14.365030 : Epoch  9, Batch     84, Loss  0.617647, Average Loss  0.603170, Time  0.221134
2021-09-21 20:59:15.820056 : Epoch  9, Batch     85, Loss  0.590636, Average Loss  0.603121, Time  0.221383
2021-09-21 20:59:17.281757 : Epoch  9, Batch     86, Loss  0.605443, Average Loss  0.603156, Time  0.221266
2021-09-21 20:59:18.733757 : Epoch  9, Batch     87, Loss  0.598917, Average Loss  0.603154, Time  0.221162
2021-09-21 20:59:20.195922 : Epoch  9, Batch     88, Loss  0.601831, Average Loss  0.603232, Time  0.221299
2021-09-21 20:59:21.650687 : Epoch  9, Batch     89, Loss  0.598794, Average Loss  0.603219, Time  0.221143
2021-09-21 20:59:23.101252 : Epoch  9, Batch     90, Loss  0.611962, Average Loss  0.603316, Time  0.221464
2021-09-21 20:59:24.559947 : Epoch  9, Batch     91, Loss  0.612300, Average Loss  0.603326, Time  0.221021
2021-09-21 20:59:26.020207 : Epoch  9, Batch     92, Loss  0.594301, Average Loss  0.603285, Time  0.221267
2021-09-21 20:59:27.479025 : Epoch  9, Batch     93, Loss  0.598720, Average Loss  0.603270, Time  0.221238
2021-09-21 20:59:28.944202 : Epoch  9, Batch     94, Loss  0.600640, Average Loss  0.603227, Time  0.221063
2021-09-21 20:59:30.395217 : Epoch  9, Batch     95, Loss  0.594410, Average Loss  0.603191, Time  0.221251
2021-09-21 20:59:31.854918 : Epoch  9, Batch     96, Loss  0.599958, Average Loss  0.603188, Time  0.221159
2021-09-21 20:59:33.318053 : Epoch  9, Batch     97, Loss  0.600827, Average Loss  0.603202, Time  0.221817
2021-09-21 20:59:34.780726 : Epoch  9, Batch     98, Loss  0.597293, Average Loss  0.603095, Time  0.221150
2021-09-21 20:59:36.233214 : Epoch  9, Batch     99, Loss  0.591096, Average Loss  0.603026, Time  0.221738
2021-09-21 20:59:37.691786 : Epoch  9, Batch    100, Loss  0.607053, Average Loss  0.602989, Time  0.221641
2021-09-21 20:59:39.147204 : Epoch  9, Batch    101, Loss  0.595423, Average Loss  0.602964, Time  0.221313
2021-09-21 20:59:40.602051 : Epoch  9, Batch    102, Loss  0.603173, Average Loss  0.602963, Time  0.221256
2021-09-21 20:59:42.062998 : Epoch  9, Batch    103, Loss  0.606507, Average Loss  0.602971, Time  0.221316
2021-09-21 20:59:43.526167 : Epoch  9, Batch    104, Loss  0.612239, Average Loss  0.603030, Time  0.221265
2021-09-21 21:00:38.491699 : CheckPoint: Validation Loss  0.00025471, Best Loss  0.00024129
2021-09-21 21:00:39.961793 : Epoch  9, Batch    105, Loss  0.603751, Average Loss  0.603035, Time  0.221776
2021-09-21 21:00:41.452855 : Epoch  9, Batch    106, Loss  0.605593, Average Loss  0.603106, Time  0.221550
2021-09-21 21:00:42.919869 : Epoch  9, Batch    107, Loss  0.609603, Average Loss  0.603159, Time  0.221322
2021-09-21 21:00:44.382039 : Epoch  9, Batch    108, Loss  0.609014, Average Loss  0.603221, Time  0.221376
2021-09-21 21:00:45.851916 : Epoch  9, Batch    109, Loss  0.592332, Average Loss  0.603196, Time  0.220911
2021-09-21 21:00:47.313924 : Epoch  9, Batch    110, Loss  0.600003, Average Loss  0.603221, Time  0.221494
2021-09-21 21:00:48.767059 : Epoch  9, Batch    111, Loss  0.598098, Average Loss  0.603186, Time  0.221065
2021-09-21 21:00:50.220956 : Epoch  9, Batch    112, Loss  0.600894, Average Loss  0.603112, Time  0.221360
2021-09-21 21:00:51.686952 : Epoch  9, Batch    113, Loss  0.604629, Average Loss  0.603160, Time  0.222108
2021-09-21 21:00:53.142059 : Epoch  9, Batch    114, Loss  0.595186, Average Loss  0.603012, Time  0.221326
2021-09-21 21:00:54.597914 : Epoch  9, Batch    115, Loss  0.599245, Average Loss  0.603020, Time  0.221250
2021-09-21 21:00:56.071870 : Epoch  9, Batch    116, Loss  0.596252, Average Loss  0.602998, Time  0.221543
2021-09-21 21:00:57.538984 : Epoch  9, Batch    117, Loss  0.601333, Average Loss  0.602929, Time  0.221234
2021-09-21 21:00:59.003851 : Epoch  9, Batch    118, Loss  0.611761, Average Loss  0.603008, Time  0.221327
2021-09-21 21:01:00.474715 : Epoch  9, Batch    119, Loss  0.598621, Average Loss  0.602971, Time  0.221593
2021-09-21 21:01:01.930759 : Epoch  9, Batch    120, Loss  0.597638, Average Loss  0.602920, Time  0.221431
2021-09-21 21:01:03.390884 : Epoch  9, Batch    121, Loss  0.600264, Average Loss  0.602890, Time  0.221203
2021-09-21 21:01:04.845177 : Epoch  9, Batch    122, Loss  0.611777, Average Loss  0.602921, Time  0.221457
2021-09-21 21:01:06.303188 : Epoch  9, Batch    123, Loss  0.601682, Average Loss  0.602851, Time  0.221339
2021-09-21 21:01:07.755967 : Epoch  9, Batch    124, Loss  0.610233, Average Loss  0.602884, Time  0.221606
2021-09-21 21:01:09.224775 : Epoch  9, Batch    125, Loss  0.598032, Average Loss  0.602794, Time  0.221164
2021-09-21 21:01:10.674121 : Epoch  9, Batch    126, Loss  0.603394, Average Loss  0.602811, Time  0.221668
2021-09-21 21:01:12.148935 : Epoch  9, Batch    127, Loss  0.592104, Average Loss  0.602751, Time  0.221214
2021-09-21 21:01:13.607198 : Epoch  9, Batch    128, Loss  0.605207, Average Loss  0.602714, Time  0.221430
2021-09-21 21:01:15.070171 : Epoch  9, Batch    129, Loss  0.584789, Average Loss  0.602659, Time  0.221304
2021-09-21 21:01:16.533932 : Epoch  9, Batch    130, Loss  0.602968, Average Loss  0.602647, Time  0.221377
2021-09-21 21:01:18.021685 : Epoch  9, Batch    131, Loss  0.605378, Average Loss  0.602647, Time  0.221533
2021-09-21 21:01:19.489815 : Epoch  9, Batch    132, Loss  0.606414, Average Loss  0.602678, Time  0.221234
2021-09-21 21:01:20.947934 : Epoch  9, Batch    133, Loss  0.597971, Average Loss  0.602648, Time  0.221587
2021-09-21 21:01:22.409158 : Epoch  9, Batch    134, Loss  0.604990, Average Loss  0.602673, Time  0.222049
2021-09-21 21:01:23.869868 : Epoch  9, Batch    135, Loss  0.603609, Average Loss  0.602665, Time  0.220969
2021-09-21 21:01:25.339974 : Epoch  9, Batch    136, Loss  0.602737, Average Loss  0.602675, Time  0.222080
2021-09-21 21:01:26.797825 : Epoch  9, Batch    137, Loss  0.610476, Average Loss  0.602773, Time  0.221254
2021-09-21 21:01:28.267909 : Epoch  9, Batch    138, Loss  0.605390, Average Loss  0.602752, Time  0.221216
2021-09-21 21:01:29.725889 : Epoch  9, Batch    139, Loss  0.598577, Average Loss  0.602721, Time  0.221397
2021-09-21 21:01:31.192053 : Epoch  9, Batch    140, Loss  0.605154, Average Loss  0.602729, Time  0.221543
2021-09-21 21:01:32.648938 : Epoch  9, Batch    141, Loss  0.590012, Average Loss  0.602671, Time  0.221473
2021-09-21 21:01:34.101176 : Epoch  9, Batch    142, Loss  0.603691, Average Loss  0.602705, Time  0.221386
2021-09-21 21:01:35.557937 : Epoch  9, Batch    143, Loss  0.612003, Average Loss  0.602777, Time  0.220942
2021-09-21 21:01:37.016900 : Epoch  9, Batch    144, Loss  0.603893, Average Loss  0.602745, Time  0.221560
2021-09-21 21:01:38.470455 : Epoch  9, Batch    145, Loss  0.604453, Average Loss  0.602686, Time  0.221308
2021-09-21 21:01:39.927925 : Epoch  9, Batch    146, Loss  0.597247, Average Loss  0.602644, Time  0.221129
2021-09-21 21:01:41.393937 : Epoch  9, Batch    147, Loss  0.608406, Average Loss  0.602640, Time  0.221311
2021-09-21 21:01:42.854032 : Epoch  9, Batch    148, Loss  0.601301, Average Loss  0.602661, Time  0.221182
2021-09-21 21:01:44.305053 : Epoch  9, Batch    149, Loss  0.604166, Average Loss  0.602685, Time  0.221067
2021-09-21 21:01:45.751014 : Epoch  9, Batch    150, Loss  0.605399, Average Loss  0.602724, Time  0.221450
2021-09-21 21:01:47.207697 : Epoch  9, Batch    151, Loss  0.604299, Average Loss  0.602691, Time  0.221308
2021-09-21 21:01:48.662939 : Epoch  9, Batch    152, Loss  0.588203, Average Loss  0.602594, Time  0.222398
2021-09-21 21:01:50.121936 : Epoch  9, Batch    153, Loss  0.624151, Average Loss  0.602715, Time  0.221110
2021-09-21 21:01:51.582823 : Epoch  9, Batch    154, Loss  0.597987, Average Loss  0.602683, Time  0.221539
2021-09-21 21:01:53.038942 : Epoch  9, Batch    155, Loss  0.600864, Average Loss  0.602660, Time  0.221381
2021-09-21 21:01:54.498944 : Epoch  9, Batch    156, Loss  0.603677, Average Loss  0.602625, Time  0.221532
2021-09-21 21:01:55.971135 : Epoch  9, Batch    157, Loss  0.616490, Average Loss  0.602706, Time  0.221302
2021-09-21 21:01:57.436928 : Epoch  9, Batch    158, Loss  0.593708, Average Loss  0.602649, Time  0.221284
2021-09-21 21:01:58.895873 : Epoch  9, Batch    159, Loss  0.612977, Average Loss  0.602628, Time  0.222859
2021-09-21 21:02:00.355873 : Epoch  9, Batch    160, Loss  0.603632, Average Loss  0.602661, Time  0.221397
2021-09-21 21:02:01.817909 : Epoch  9, Batch    161, Loss  0.610720, Average Loss  0.602733, Time  0.221286
2021-09-21 21:02:03.284928 : Epoch  9, Batch    162, Loss  0.593467, Average Loss  0.602671, Time  0.221277
2021-09-21 21:02:04.740852 : Epoch  9, Batch    163, Loss  0.608303, Average Loss  0.602800, Time  0.221068
2021-09-21 21:02:06.198179 : Epoch  9, Batch    164, Loss  0.608598, Average Loss  0.602758, Time  0.221334
2021-09-21 21:02:07.658409 : Epoch  9, Batch    165, Loss  0.610204, Average Loss  0.602710, Time  0.221406
2021-09-21 21:02:09.113791 : Epoch  9, Batch    166, Loss  0.597213, Average Loss  0.602713, Time  0.221424
2021-09-21 21:02:10.573986 : Epoch  9, Batch    167, Loss  0.601057, Average Loss  0.602690, Time  0.221232
2021-09-21 21:02:12.046925 : Epoch  9, Batch    168, Loss  0.603875, Average Loss  0.602705, Time  0.221421
2021-09-21 21:02:13.516700 : Epoch  9, Batch    169, Loss  0.611832, Average Loss  0.602777, Time  0.221474
2021-09-21 21:02:14.977186 : Epoch  9, Batch    170, Loss  0.601671, Average Loss  0.602810, Time  0.221313
2021-09-21 21:02:16.437989 : Epoch  9, Batch    171, Loss  0.611212, Average Loss  0.602795, Time  0.222123
2021-09-21 21:02:17.899051 : Epoch  9, Batch    172, Loss  0.605539, Average Loss  0.602776, Time  0.221785
2021-09-21 21:02:19.363004 : Epoch  9, Batch    173, Loss  0.591318, Average Loss  0.602747, Time  0.221233
2021-09-21 21:02:20.821891 : Epoch  9, Batch    174, Loss  0.594321, Average Loss  0.602712, Time  0.221758
2021-09-21 21:02:24.607917 : Epoch  9, Batch    175, Loss  0.610452, Average Loss  0.602724, Time  0.260949
2021-09-21 21:02:26.089166 : Epoch  9, Batch    176, Loss  0.587239, Average Loss  0.602614, Time  0.243041
2021-09-21 21:02:27.546549 : Epoch  9, Batch    177, Loss  0.607038, Average Loss  0.602642, Time  0.225168
2021-09-21 21:02:29.006073 : Epoch  9, Batch    178, Loss  0.598808, Average Loss  0.602595, Time  0.221559
2021-09-21 21:02:30.463168 : Epoch  9, Batch    179, Loss  0.603287, Average Loss  0.602575, Time  0.221174
2021-09-21 21:02:31.914989 : Epoch  9, Batch    180, Loss  0.606777, Average Loss  0.602626, Time  0.221304
2021-09-21 21:02:33.367032 : Epoch  9, Batch    181, Loss  0.604886, Average Loss  0.602680, Time  0.221395
2021-09-21 21:02:34.821317 : Epoch  9, Batch    182, Loss  0.610210, Average Loss  0.602778, Time  0.221692
2021-09-21 21:02:36.270091 : Epoch  9, Batch    183, Loss  0.601938, Average Loss  0.602794, Time  0.221271
2021-09-21 21:02:37.729161 : Epoch  9, Batch    184, Loss  0.605919, Average Loss  0.602842, Time  0.221277
2021-09-21 21:02:39.185926 : Epoch  9, Batch    185, Loss  0.609010, Average Loss  0.602855, Time  0.220952
2021-09-21 21:02:40.646079 : Epoch  9, Batch    186, Loss  0.603922, Average Loss  0.602869, Time  0.221319
2021-09-21 21:02:42.099976 : Epoch  9, Batch    187, Loss  0.603745, Average Loss  0.602925, Time  0.221420
2021-09-21 21:02:43.564993 : Epoch  9, Batch    188, Loss  0.600398, Average Loss  0.602953, Time  0.221472
2021-09-21 21:02:45.031971 : Epoch  9, Batch    189, Loss  0.597430, Average Loss  0.602974, Time  0.221517
2021-09-21 21:02:46.497751 : Epoch  9, Batch    190, Loss  0.607154, Average Loss  0.602969, Time  0.221049
2021-09-21 21:02:47.967937 : Epoch  9, Batch    191, Loss  0.592846, Average Loss  0.602875, Time  0.221159
2021-09-21 21:02:49.437937 : Epoch  9, Batch    192, Loss  0.604950, Average Loss  0.602874, Time  0.221217
2021-09-21 21:02:50.904181 : Epoch  9, Batch    193, Loss  0.605901, Average Loss  0.602919, Time  0.221017
2021-09-21 21:02:52.364182 : Epoch  9, Batch    194, Loss  0.606734, Average Loss  0.602924, Time  0.221437
2021-09-21 21:02:53.819808 : Epoch  9, Batch    195, Loss  0.605176, Average Loss  0.602965, Time  0.221406
2021-09-21 21:02:55.284951 : Epoch  9, Batch    196, Loss  0.606267, Average Loss  0.603005, Time  0.221419
2021-09-21 21:02:56.784984 : Epoch  9, Batch    197, Loss  0.609983, Average Loss  0.603055, Time  0.221433
2021-09-21 21:02:58.249160 : Epoch  9, Batch    198, Loss  0.605257, Average Loss  0.603079, Time  0.221037
2021-09-21 21:02:59.715721 : Epoch  9, Batch    199, Loss  0.599292, Average Loss  0.603042, Time  0.221328
2021-09-21 21:03:01.175696 : Epoch  9, Batch    200, Loss  0.599132, Average Loss  0.603010, Time  0.222021
2021-09-21 21:03:02.634905 : Epoch  9, Batch    201, Loss  0.592874, Average Loss  0.602983, Time  0.221059
2021-09-21 21:03:02.860704 : Epoch  9, Batch    202, Loss  0.686769, Average Loss  0.603429, Time  0.088842
2021-09-21 21:03:04.327909 : Epoch  9, Batch    203, Loss  0.599750, Average Loss  0.603424, Time  0.221126
2021-09-21 21:03:05.778066 : Epoch  9, Batch    204, Loss  0.602520, Average Loss  0.603412, Time  0.220987
2021-09-21 21:04:00.836685 : CheckPoint: Validation Loss  0.00025207, Best Loss  0.00024129
2021-09-21 21:04:02.309050 : Epoch  9, Batch    205, Loss  0.597295, Average Loss  0.603297, Time  0.221774
2021-09-21 21:04:03.764981 : Epoch  9, Batch    206, Loss  0.615209, Average Loss  0.603337, Time  0.221196
2021-09-21 21:04:05.235198 : Epoch  9, Batch    207, Loss  0.599769, Average Loss  0.603358, Time  0.221532
2021-09-21 21:04:06.709041 : Epoch  9, Batch    208, Loss  0.604075, Average Loss  0.603372, Time  0.221509
2021-09-21 21:04:08.179189 : Epoch  9, Batch    209, Loss  0.611844, Average Loss  0.603426, Time  0.221221
2021-09-21 21:04:09.647207 : Epoch  9, Batch    210, Loss  0.613830, Average Loss  0.603536, Time  0.221483
2021-09-21 21:04:11.111843 : Epoch  9, Batch    211, Loss  0.598574, Average Loss  0.603479, Time  0.221501
2021-09-21 21:04:12.576307 : Epoch  9, Batch    212, Loss  0.606181, Average Loss  0.603489, Time  0.224356
2021-09-21 21:04:14.062283 : Epoch  9, Batch    213, Loss  0.598496, Average Loss  0.603499, Time  0.222674
2021-09-21 21:04:15.551953 : Epoch  9, Batch    214, Loss  0.599905, Average Loss  0.603510, Time  0.221986
2021-09-21 21:04:17.035261 : Epoch  9, Batch    215, Loss  0.607301, Average Loss  0.603548, Time  0.221958
2021-09-21 21:04:18.513207 : Epoch  9, Batch    216, Loss  0.597551, Average Loss  0.603461, Time  0.222116
2021-09-21 21:04:19.992146 : Epoch  9, Batch    217, Loss  0.600332, Average Loss  0.603435, Time  0.221701
2021-09-21 21:04:21.475028 : Epoch  9, Batch    218, Loss  0.596581, Average Loss  0.603371, Time  0.221974
2021-09-21 21:04:22.958987 : Epoch  9, Batch    219, Loss  0.603184, Average Loss  0.603376, Time  0.222266
2021-09-21 21:04:24.592160 : Epoch  9, Batch    220, Loss  0.601173, Average Loss  0.603309, Time  0.221744
2021-09-21 21:04:26.061746 : Epoch  9, Batch    221, Loss  0.603382, Average Loss  0.603277, Time  0.221492
2021-09-21 21:04:27.536759 : Epoch  9, Batch    222, Loss  0.613271, Average Loss  0.603330, Time  0.221701
2021-09-21 21:04:29.011847 : Epoch  9, Batch    223, Loss  0.595293, Average Loss  0.603278, Time  0.221689
2021-09-21 21:04:30.484201 : Epoch  9, Batch    224, Loss  0.605149, Average Loss  0.603240, Time  0.221653
2021-09-21 21:04:31.956206 : Epoch  9, Batch    225, Loss  0.610082, Average Loss  0.603280, Time  0.221757
2021-09-21 21:04:33.427213 : Epoch  9, Batch    226, Loss  0.589676, Average Loss  0.603257, Time  0.221376
2021-09-21 21:04:34.899078 : Epoch  9, Batch    227, Loss  0.599221, Average Loss  0.603219, Time  0.221879
2021-09-21 21:04:36.363120 : Epoch  9, Batch    228, Loss  0.601178, Average Loss  0.603252, Time  0.221876
2021-09-21 21:04:37.838056 : Epoch  9, Batch    229, Loss  0.595737, Average Loss  0.603171, Time  0.221496
2021-09-21 21:04:39.301248 : Epoch  9, Batch    230, Loss  0.616172, Average Loss  0.603289, Time  0.221449
2021-09-21 21:04:40.771964 : Epoch  9, Batch    231, Loss  0.599184, Average Loss  0.603257, Time  0.221154
2021-09-21 21:04:42.247990 : Epoch  9, Batch    232, Loss  0.595122, Average Loss  0.603217, Time  0.221987
2021-09-21 21:04:43.714053 : Epoch  9, Batch    233, Loss  0.620397, Average Loss  0.603311, Time  0.221201
2021-09-21 21:04:45.178610 : Epoch  9, Batch    234, Loss  0.594808, Average Loss  0.603241, Time  0.221303
2021-09-21 21:04:46.648757 : Epoch  9, Batch    235, Loss  0.593216, Average Loss  0.603188, Time  0.221150
2021-09-21 21:04:48.123195 : Epoch  9, Batch    236, Loss  0.608405, Average Loss  0.603182, Time  0.221315
2021-09-21 21:04:49.598203 : Epoch  9, Batch    237, Loss  0.600697, Average Loss  0.603134, Time  0.221011
2021-09-21 21:04:51.071033 : Epoch  9, Batch    238, Loss  0.622079, Average Loss  0.603225, Time  0.221411
2021-09-21 21:04:52.535210 : Epoch  9, Batch    239, Loss  0.595828, Average Loss  0.603236, Time  0.221078
2021-09-21 21:04:53.998973 : Epoch  9, Batch    240, Loss  0.590680, Average Loss  0.603195, Time  0.222067
2021-09-21 21:04:55.465002 : Epoch  9, Batch    241, Loss  0.614161, Average Loss  0.603321, Time  0.221177
2021-09-21 21:04:56.934094 : Epoch  9, Batch    242, Loss  0.597948, Average Loss  0.603309, Time  0.222584
2021-09-21 21:04:58.407044 : Epoch  9, Batch    243, Loss  0.605938, Average Loss  0.603321, Time  0.221958
2021-09-21 21:04:59.872185 : Epoch  9, Batch    244, Loss  0.608494, Average Loss  0.603379, Time  0.221210
2021-09-21 21:05:01.339705 : Epoch  9, Batch    245, Loss  0.615025, Average Loss  0.603411, Time  0.221193
2021-09-21 21:05:02.823748 : Epoch  9, Batch    246, Loss  0.596498, Average Loss  0.603374, Time  0.221872
2021-09-21 21:05:04.293036 : Epoch  9, Batch    247, Loss  0.611780, Average Loss  0.603418, Time  0.221517
2021-09-21 21:05:05.755963 : Epoch  9, Batch    248, Loss  0.596803, Average Loss  0.603428, Time  0.221654
2021-09-21 21:05:07.222685 : Epoch  9, Batch    249, Loss  0.613712, Average Loss  0.603463, Time  0.221493
2021-09-21 21:05:08.684965 : Epoch  9, Batch    250, Loss  0.606864, Average Loss  0.603495, Time  0.221405
2021-09-21 21:05:10.146171 : Epoch  9, Batch    251, Loss  0.594802, Average Loss  0.603464, Time  0.221344
2021-09-21 21:05:11.607779 : Epoch  9, Batch    252, Loss  0.600797, Average Loss  0.603463, Time  0.221364
2021-09-21 21:05:13.073123 : Epoch  9, Batch    253, Loss  0.597132, Average Loss  0.603429, Time  0.221288
2021-09-21 21:05:14.540150 : Epoch  9, Batch    254, Loss  0.598484, Average Loss  0.603404, Time  0.221327
2021-09-21 21:05:16.012014 : Epoch  9, Batch    255, Loss  0.610473, Average Loss  0.603341, Time  0.221356
2021-09-21 21:05:17.475989 : Epoch  9, Batch    256, Loss  0.603001, Average Loss  0.603365, Time  0.221296
2021-09-21 21:05:18.943191 : Epoch  9, Batch    257, Loss  0.605095, Average Loss  0.603390, Time  0.221194
2021-09-21 21:05:20.409188 : Epoch  9, Batch    258, Loss  0.615177, Average Loss  0.603412, Time  0.221450
2021-09-21 21:05:21.871713 : Epoch  9, Batch    259, Loss  0.597714, Average Loss  0.603387, Time  0.221034
2021-09-21 21:05:23.339603 : Epoch  9, Batch    260, Loss  0.598180, Average Loss  0.603371, Time  0.221804
2021-09-21 21:05:24.801897 : Epoch  9, Batch    261, Loss  0.609543, Average Loss  0.603395, Time  0.221509
2021-09-21 21:05:26.263485 : Epoch  9, Batch    262, Loss  0.599988, Average Loss  0.603366, Time  0.221641
2021-09-21 21:05:27.741695 : Epoch  9, Batch    263, Loss  0.598116, Average Loss  0.603354, Time  0.221706
2021-09-21 21:05:29.215045 : Epoch  9, Batch    264, Loss  0.607898, Average Loss  0.603391, Time  0.221478
2021-09-21 21:05:30.692730 : Epoch  9, Batch    265, Loss  0.600699, Average Loss  0.603396, Time  0.221321
2021-09-21 21:05:32.156953 : Epoch  9, Batch    266, Loss  0.598922, Average Loss  0.603387, Time  0.221991
2021-09-21 21:05:33.623160 : Epoch  9, Batch    267, Loss  0.609892, Average Loss  0.603385, Time  0.221415
2021-09-21 21:05:35.094209 : Epoch  9, Batch    268, Loss  0.609572, Average Loss  0.603372, Time  0.221348
2021-09-21 21:05:36.561056 : Epoch  9, Batch    269, Loss  0.597644, Average Loss  0.603299, Time  0.221862
2021-09-21 21:05:38.027809 : Epoch  9, Batch    270, Loss  0.600241, Average Loss  0.603244, Time  0.221433
2021-09-21 21:05:39.492978 : Epoch  9, Batch    271, Loss  0.610370, Average Loss  0.603275, Time  0.221014
2021-09-21 21:05:40.958043 : Epoch  9, Batch    272, Loss  0.611328, Average Loss  0.603348, Time  0.221369
2021-09-21 21:05:42.435354 : Epoch  9, Batch    273, Loss  0.605571, Average Loss  0.603391, Time  0.221660
2021-09-21 21:05:43.904675 : Epoch  9, Batch    274, Loss  0.602864, Average Loss  0.603357, Time  0.221623
2021-09-21 21:05:47.778704 : Epoch  9, Batch    275, Loss  0.604479, Average Loss  0.603400, Time  0.261448
2021-09-21 21:05:49.244225 : Epoch  9, Batch    276, Loss  0.589796, Average Loss  0.603324, Time  0.233107
2021-09-21 21:05:50.694943 : Epoch  9, Batch    277, Loss  0.610978, Average Loss  0.603393, Time  0.221403
2021-09-21 21:05:52.143209 : Epoch  9, Batch    278, Loss  0.606592, Average Loss  0.603450, Time  0.221203
2021-09-21 21:05:53.595070 : Epoch  9, Batch    279, Loss  0.600338, Average Loss  0.603473, Time  0.221225
2021-09-21 21:05:55.047958 : Epoch  9, Batch    280, Loss  0.594934, Average Loss  0.603397, Time  0.221548
2021-09-21 21:05:56.508027 : Epoch  9, Batch    281, Loss  0.595008, Average Loss  0.603404, Time  0.221499
2021-09-21 21:05:57.975736 : Epoch  9, Batch    282, Loss  0.599307, Average Loss  0.603345, Time  0.221452
2021-09-21 21:05:59.446042 : Epoch  9, Batch    283, Loss  0.606824, Average Loss  0.603378, Time  0.221662
2021-09-21 21:06:00.900994 : Epoch  9, Batch    284, Loss  0.614682, Average Loss  0.603364, Time  0.221573
2021-09-21 21:06:02.356836 : Epoch  9, Batch    285, Loss  0.615615, Average Loss  0.603488, Time  0.221180
2021-09-21 21:06:03.812699 : Epoch  9, Batch    286, Loss  0.613473, Average Loss  0.603529, Time  0.221239
2021-09-21 21:06:05.269007 : Epoch  9, Batch    287, Loss  0.606951, Average Loss  0.603569, Time  0.221103
2021-09-21 21:06:06.720189 : Epoch  9, Batch    288, Loss  0.592475, Average Loss  0.603522, Time  0.221369
2021-09-21 21:06:08.172050 : Epoch  9, Batch    289, Loss  0.583043, Average Loss  0.603443, Time  0.221236
2021-09-21 21:06:09.635188 : Epoch  9, Batch    290, Loss  0.603820, Average Loss  0.603403, Time  0.221273
2021-09-21 21:06:11.094021 : Epoch  9, Batch    291, Loss  0.608964, Average Loss  0.603386, Time  0.221489
2021-09-21 21:06:12.547222 : Epoch  9, Batch    292, Loss  0.609864, Average Loss  0.603464, Time  0.221655
2021-09-21 21:06:14.000202 : Epoch  9, Batch    293, Loss  0.595852, Average Loss  0.603449, Time  0.220932
2021-09-21 21:06:15.468510 : Epoch  9, Batch    294, Loss  0.609584, Average Loss  0.603494, Time  0.221429
2021-09-21 21:06:16.933749 : Epoch  9, Batch    295, Loss  0.598047, Average Loss  0.603512, Time  0.221139
2021-09-21 21:06:18.395048 : Epoch  9, Batch    296, Loss  0.602199, Average Loss  0.603523, Time  0.224388
2021-09-21 21:06:19.862984 : Epoch  9, Batch    297, Loss  0.598462, Average Loss  0.603512, Time  0.221727
2021-09-21 21:06:21.320971 : Epoch  9, Batch    298, Loss  0.598111, Average Loss  0.603516, Time  0.221137
2021-09-21 21:06:22.776945 : Epoch  9, Batch    299, Loss  0.584998, Average Loss  0.603485, Time  0.221165
2021-09-21 21:06:24.241927 : Epoch  9, Batch    300, Loss  0.603575, Average Loss  0.603468, Time  0.221264
2021-09-21 21:06:25.702969 : Epoch  9, Batch    301, Loss  0.607501, Average Loss  0.603528, Time  0.221038
2021-09-21 21:06:27.160048 : Epoch  9, Batch    302, Loss  0.600073, Average Loss  0.603513, Time  0.221938
2021-09-21 21:06:28.630192 : Epoch  9, Batch    303, Loss  0.592494, Average Loss  0.603443, Time  0.221462
2021-09-21 21:06:30.098686 : Epoch  9, Batch    304, Loss  0.601639, Average Loss  0.603390, Time  0.221437
2021-09-21 21:07:24.945679 : CheckPoint: Validation Loss  0.00025667, Best Loss  0.00024129
2021-09-21 21:07:26.406895 : Epoch  9, Batch    305, Loss  0.607623, Average Loss  0.603409, Time  0.221951
2021-09-21 21:07:27.873098 : Epoch  9, Batch    306, Loss  0.610166, Average Loss  0.603432, Time  0.221230
2021-09-21 21:07:29.340909 : Epoch  9, Batch    307, Loss  0.607303, Average Loss  0.603420, Time  0.221216
2021-09-21 21:07:30.801154 : Epoch  9, Batch    308, Loss  0.606224, Average Loss  0.603406, Time  0.221590
2021-09-21 21:07:32.254876 : Epoch  9, Batch    309, Loss  0.605322, Average Loss  0.603471, Time  0.221124
2021-09-21 21:07:33.725139 : Epoch  9, Batch    310, Loss  0.598832, Average Loss  0.603466, Time  0.222060
2021-09-21 21:07:35.186592 : Epoch  9, Batch    311, Loss  0.599364, Average Loss  0.603472, Time  0.221147
2021-09-21 21:07:36.648759 : Epoch  9, Batch    312, Loss  0.613288, Average Loss  0.603534, Time  0.221239
2021-09-21 21:07:38.113975 : Epoch  9, Batch    313, Loss  0.605338, Average Loss  0.603537, Time  0.221747
2021-09-21 21:07:39.573058 : Epoch  9, Batch    314, Loss  0.600817, Average Loss  0.603566, Time  0.221153
2021-09-21 21:07:41.034020 : Epoch  9, Batch    315, Loss  0.612919, Average Loss  0.603634, Time  0.221358
2021-09-21 21:07:42.513974 : Epoch  9, Batch    316, Loss  0.608014, Average Loss  0.603693, Time  0.221532
2021-09-21 21:07:43.986942 : Epoch  9, Batch    317, Loss  0.600092, Average Loss  0.603687, Time  0.221061
2021-09-21 21:07:45.455922 : Epoch  9, Batch    318, Loss  0.613018, Average Loss  0.603693, Time  0.221212
2021-09-21 21:07:46.915945 : Epoch  9, Batch    319, Loss  0.595709, Average Loss  0.603678, Time  0.221517
2021-09-21 21:07:48.389123 : Epoch  9, Batch    320, Loss  0.600469, Average Loss  0.603692, Time  0.221521
2021-09-21 21:07:49.861683 : Epoch  9, Batch    321, Loss  0.594710, Average Loss  0.603665, Time  0.221486
2021-09-21 21:07:51.335191 : Epoch  9, Batch    322, Loss  0.607403, Average Loss  0.603643, Time  0.221465
2021-09-21 21:07:52.799063 : Epoch  9, Batch    323, Loss  0.594626, Average Loss  0.603607, Time  0.221305
2021-09-21 21:07:54.264918 : Epoch  9, Batch    324, Loss  0.614326, Average Loss  0.603628, Time  0.221590
2021-09-21 21:07:55.730719 : Epoch  9, Batch    325, Loss  0.603027, Average Loss  0.603653, Time  0.221125
2021-09-21 21:07:57.191017 : Epoch  9, Batch    326, Loss  0.601544, Average Loss  0.603644, Time  0.221221
2021-09-21 21:07:58.649952 : Epoch  9, Batch    327, Loss  0.612227, Average Loss  0.603744, Time  0.221235
2021-09-21 21:08:00.114140 : Epoch  9, Batch    328, Loss  0.599651, Average Loss  0.603717, Time  0.221807
2021-09-21 21:08:01.580733 : Epoch  9, Batch    329, Loss  0.593802, Average Loss  0.603762, Time  0.221221
2021-09-21 21:08:03.052871 : Epoch  9, Batch    330, Loss  0.595632, Average Loss  0.603725, Time  0.221524
2021-09-21 21:08:04.516967 : Epoch  9, Batch    331, Loss  0.596427, Average Loss  0.603680, Time  0.221241
2021-09-21 21:08:05.980204 : Epoch  9, Batch    332, Loss  0.621768, Average Loss  0.603757, Time  0.221446
2021-09-21 21:08:07.450077 : Epoch  9, Batch    333, Loss  0.588574, Average Loss  0.603710, Time  0.221372
2021-09-21 21:08:08.913135 : Epoch  9, Batch    334, Loss  0.590992, Average Loss  0.603640, Time  0.221209
2021-09-21 21:08:10.385956 : Epoch  9, Batch    335, Loss  0.615534, Average Loss  0.603700, Time  0.221334
2021-09-21 21:08:11.854994 : Epoch  9, Batch    336, Loss  0.604183, Average Loss  0.603707, Time  0.221341
2021-09-21 21:08:13.322873 : Epoch  9, Batch    337, Loss  0.601054, Average Loss  0.603660, Time  0.221591
2021-09-21 21:08:14.780913 : Epoch  9, Batch    338, Loss  0.600496, Average Loss  0.603635, Time  0.222612
2021-09-21 21:08:16.235999 : Epoch  9, Batch    339, Loss  0.590317, Average Loss  0.603594, Time  0.221186
2021-09-21 21:08:17.692161 : Epoch  9, Batch    340, Loss  0.607000, Average Loss  0.603603, Time  0.221659
2021-09-21 21:08:19.151966 : Epoch  9, Batch    341, Loss  0.600878, Average Loss  0.603657, Time  0.221066
2021-09-21 21:08:20.616116 : Epoch  9, Batch    342, Loss  0.592591, Average Loss  0.603602, Time  0.221364
2021-09-21 21:08:22.073904 : Epoch  9, Batch    343, Loss  0.596037, Average Loss  0.603522, Time  0.221268
2021-09-21 21:08:23.536684 : Epoch  9, Batch    344, Loss  0.597130, Average Loss  0.603488, Time  0.221526
2021-09-21 21:08:25.008928 : Epoch  9, Batch    345, Loss  0.594020, Average Loss  0.603436, Time  0.221424
2021-09-21 21:08:26.480899 : Epoch  9, Batch    346, Loss  0.607342, Average Loss  0.603487, Time  0.221202
2021-09-21 21:08:27.940142 : Epoch  9, Batch    347, Loss  0.608848, Average Loss  0.603489, Time  0.222866
2021-09-21 21:08:29.404700 : Epoch  9, Batch    348, Loss  0.610995, Average Loss  0.603537, Time  0.221659
2021-09-21 21:08:30.866122 : Epoch  9, Batch    349, Loss  0.597735, Average Loss  0.603505, Time  0.221364
2021-09-21 21:08:32.324153 : Epoch  9, Batch    350, Loss  0.592668, Average Loss  0.603442, Time  0.221999
2021-09-21 21:08:33.780800 : Epoch  9, Batch    351, Loss  0.609999, Average Loss  0.603470, Time  0.221317
2021-09-21 21:08:35.239115 : Epoch  9, Batch    352, Loss  0.600884, Average Loss  0.603533, Time  0.221191
2021-09-21 21:08:36.705695 : Epoch  9, Batch    353, Loss  0.598100, Average Loss  0.603403, Time  0.221397
2021-09-21 21:08:38.195701 : Epoch  9, Batch    354, Loss  0.604506, Average Loss  0.603436, Time  0.221547
2021-09-21 21:08:39.663908 : Epoch  9, Batch    355, Loss  0.592819, Average Loss  0.603396, Time  0.221312
2021-09-21 21:08:41.123933 : Epoch  9, Batch    356, Loss  0.602017, Average Loss  0.603387, Time  0.221653
2021-09-21 21:08:42.584743 : Epoch  9, Batch    357, Loss  0.610306, Average Loss  0.603356, Time  0.221257
2021-09-21 21:08:44.050977 : Epoch  9, Batch    358, Loss  0.604417, Average Loss  0.603410, Time  0.221564
2021-09-21 21:08:45.510321 : Epoch  9, Batch    359, Loss  0.605227, Average Loss  0.603371, Time  0.221671
2021-09-21 21:08:46.967930 : Epoch  9, Batch    360, Loss  0.596896, Average Loss  0.603337, Time  0.221364
2021-09-21 21:08:48.452724 : Epoch  9, Batch    361, Loss  0.602184, Average Loss  0.603295, Time  0.221440
2021-09-21 21:08:49.910630 : Epoch  9, Batch    362, Loss  0.586786, Average Loss  0.603261, Time  0.221396
2021-09-21 21:08:51.368954 : Epoch  9, Batch    363, Loss  0.605796, Average Loss  0.603249, Time  0.221205
2021-09-21 21:08:52.826501 : Epoch  9, Batch    364, Loss  0.605256, Average Loss  0.603232, Time  0.221316
2021-09-21 21:08:54.287982 : Epoch  9, Batch    365, Loss  0.602130, Average Loss  0.603192, Time  0.221489
2021-09-21 21:08:55.741920 : Epoch  9, Batch    366, Loss  0.602720, Average Loss  0.603219, Time  0.222542
2021-09-21 21:08:57.205972 : Epoch  9, Batch    367, Loss  0.592150, Average Loss  0.603175, Time  0.221436
2021-09-21 21:08:58.696135 : Epoch  9, Batch    368, Loss  0.598440, Average Loss  0.603148, Time  0.221514
2021-09-21 21:09:00.158468 : Epoch  9, Batch    369, Loss  0.608138, Average Loss  0.603129, Time  0.221074
2021-09-21 21:09:01.620997 : Epoch  9, Batch    370, Loss  0.613837, Average Loss  0.603190, Time  0.223168
2021-09-21 21:09:03.091711 : Epoch  9, Batch    371, Loss  0.606493, Average Loss  0.603166, Time  0.221208
2021-09-21 21:09:04.561213 : Epoch  9, Batch    372, Loss  0.599532, Average Loss  0.603136, Time  0.221202
2021-09-21 21:09:06.019018 : Epoch  9, Batch    373, Loss  0.600667, Average Loss  0.603183, Time  0.221097
2021-09-21 21:09:07.481810 : Epoch  9, Batch    374, Loss  0.599055, Average Loss  0.603207, Time  0.221310
2021-09-21 21:09:11.267877 : Epoch  9, Batch    375, Loss  0.608958, Average Loss  0.603199, Time  0.251032
2021-09-21 21:09:12.736233 : Epoch  9, Batch    376, Loss  0.600775, Average Loss  0.603267, Time  0.225561
2021-09-21 21:09:14.196268 : Epoch  9, Batch    377, Loss  0.600400, Average Loss  0.603234, Time  0.221255
2021-09-21 21:09:15.665199 : Epoch  9, Batch    378, Loss  0.610181, Average Loss  0.603291, Time  0.221060
2021-09-21 21:09:17.127015 : Epoch  9, Batch    379, Loss  0.596664, Average Loss  0.603257, Time  0.220974
2021-09-21 21:09:18.586672 : Epoch  9, Batch    380, Loss  0.594576, Average Loss  0.603196, Time  0.221566
2021-09-21 21:09:20.052018 : Epoch  9, Batch    381, Loss  0.606490, Average Loss  0.603204, Time  0.221124
2021-09-21 21:09:21.522819 : Epoch  9, Batch    382, Loss  0.603239, Average Loss  0.603170, Time  0.221224
2021-09-21 21:09:22.995015 : Epoch  9, Batch    383, Loss  0.610068, Average Loss  0.603210, Time  0.221992
2021-09-21 21:09:24.462980 : Epoch  9, Batch    384, Loss  0.603012, Average Loss  0.603196, Time  0.221395
2021-09-21 21:09:25.937973 : Epoch  9, Batch    385, Loss  0.607680, Average Loss  0.603189, Time  0.221382
2021-09-21 21:09:27.408045 : Epoch  9, Batch    386, Loss  0.614461, Average Loss  0.603242, Time  0.221848
2021-09-21 21:09:28.868745 : Epoch  9, Batch    387, Loss  0.589993, Average Loss  0.603173, Time  0.221072
2021-09-21 21:09:30.325957 : Epoch  9, Batch    388, Loss  0.607300, Average Loss  0.603208, Time  0.221460
2021-09-21 21:09:31.788912 : Epoch  9, Batch    389, Loss  0.603575, Average Loss  0.603238, Time  0.221370
2021-09-21 21:09:33.245144 : Epoch  9, Batch    390, Loss  0.604644, Average Loss  0.603226, Time  0.221372
2021-09-21 21:09:34.700948 : Epoch  9, Batch    391, Loss  0.601742, Average Loss  0.603270, Time  0.221431
2021-09-21 21:09:36.157122 : Epoch  9, Batch    392, Loss  0.600981, Average Loss  0.603250, Time  0.221189
2021-09-21 21:09:37.613932 : Epoch  9, Batch    393, Loss  0.608366, Average Loss  0.603263, Time  0.221031
2021-09-21 21:09:39.072126 : Epoch  9, Batch    394, Loss  0.605289, Average Loss  0.603255, Time  0.221228
2021-09-21 21:09:40.525895 : Epoch  9, Batch    395, Loss  0.613035, Average Loss  0.603295, Time  0.221160
2021-09-21 21:09:42.002989 : Epoch  9, Batch    396, Loss  0.596534, Average Loss  0.603246, Time  0.221533
2021-09-21 21:09:43.463703 : Epoch  9, Batch    397, Loss  0.588557, Average Loss  0.603139, Time  0.221217
2021-09-21 21:09:44.912112 : Epoch  9, Batch    398, Loss  0.601979, Average Loss  0.603123, Time  0.221315
2021-09-21 21:09:46.404800 : Epoch  9, Batch    399, Loss  0.602375, Average Loss  0.603138, Time  0.221522
2021-09-21 21:09:47.866942 : Epoch  9, Batch    400, Loss  0.605479, Average Loss  0.603170, Time  0.221426
2021-09-21 21:09:49.322105 : Epoch  9, Batch    401, Loss  0.600430, Average Loss  0.603207, Time  0.221107
2021-09-21 21:09:50.774076 : Epoch  9, Batch    402, Loss  0.599190, Average Loss  0.602770, Time  0.221286
2021-09-21 21:09:52.233863 : Epoch  9, Batch    403, Loss  0.607366, Average Loss  0.602808, Time  0.226050
2021-09-21 21:09:53.697727 : Epoch  9, Batch    404, Loss  0.609182, Average Loss  0.602841, Time  0.221359
2021-09-21 21:10:48.522669 : CheckPoint: Validation Loss  0.00025443, Best Loss  0.00024129
2021-09-21 21:10:50.019014 : Epoch  9, Batch    405, Loss  0.595089, Average Loss  0.602830, Time  0.252418
2021-09-21 21:10:51.505912 : Epoch  9, Batch    406, Loss  0.606077, Average Loss  0.602784, Time  0.225023
2021-09-21 21:10:52.979307 : Epoch  9, Batch    407, Loss  0.607486, Average Loss  0.602823, Time  0.222201
2021-09-21 21:10:54.449179 : Epoch  9, Batch    408, Loss  0.598702, Average Loss  0.602796, Time  0.221437
2021-09-21 21:10:55.917009 : Epoch  9, Batch    409, Loss  0.602294, Average Loss  0.602748, Time  0.221317
2021-09-21 21:10:57.377070 : Epoch  9, Batch    410, Loss  0.596411, Average Loss  0.602661, Time  0.221650
2021-09-21 21:10:58.842067 : Epoch  9, Batch    411, Loss  0.594311, Average Loss  0.602640, Time  0.221338
2021-09-21 21:11:00.343936 : Epoch  9, Batch    412, Loss  0.610275, Average Loss  0.602660, Time  0.221462
2021-09-21 21:11:01.807159 : Epoch  9, Batch    413, Loss  0.600178, Average Loss  0.602669, Time  0.221272
2021-09-21 21:11:03.283961 : Epoch  9, Batch    414, Loss  0.587626, Average Loss  0.602607, Time  0.221400
2021-09-21 21:11:04.752963 : Epoch  9, Batch    415, Loss  0.611504, Average Loss  0.602628, Time  0.221220
2021-09-21 21:11:06.223704 : Epoch  9, Batch    416, Loss  0.599361, Average Loss  0.602637, Time  0.221329
2021-09-21 21:11:07.696778 : Epoch  9, Batch    417, Loss  0.597298, Average Loss  0.602622, Time  0.224613
2021-09-21 21:11:09.160025 : Epoch  9, Batch    418, Loss  0.602692, Average Loss  0.602653, Time  0.221273
2021-09-21 21:11:10.631204 : Epoch  9, Batch    419, Loss  0.595595, Average Loss  0.602615, Time  0.221490
2021-09-21 21:11:12.099076 : Epoch  9, Batch    420, Loss  0.605447, Average Loss  0.602636, Time  0.221904
2021-09-21 21:11:13.562877 : Epoch  9, Batch    421, Loss  0.606334, Average Loss  0.602651, Time  0.221364
2021-09-21 21:11:15.022039 : Epoch  9, Batch    422, Loss  0.597322, Average Loss  0.602571, Time  0.221402
2021-09-21 21:11:16.488775 : Epoch  9, Batch    423, Loss  0.605004, Average Loss  0.602620, Time  0.221210
2021-09-21 21:11:17.957953 : Epoch  9, Batch    424, Loss  0.601705, Average Loss  0.602603, Time  0.221476
2021-09-21 21:11:19.421876 : Epoch  9, Batch    425, Loss  0.619888, Average Loss  0.602652, Time  0.221187
2021-09-21 21:11:20.886879 : Epoch  9, Batch    426, Loss  0.611921, Average Loss  0.602763, Time  0.221293
2021-09-21 21:11:22.346976 : Epoch  9, Batch    427, Loss  0.601376, Average Loss  0.602774, Time  0.221287
2021-09-21 21:11:23.813384 : Epoch  9, Batch    428, Loss  0.608574, Average Loss  0.602811, Time  0.221703
2021-09-21 21:11:25.275393 : Epoch  9, Batch    429, Loss  0.594111, Average Loss  0.602802, Time  0.221184
2021-09-21 21:11:26.734066 : Epoch  9, Batch    430, Loss  0.603818, Average Loss  0.602741, Time  0.221460
2021-09-21 21:11:28.204943 : Epoch  9, Batch    431, Loss  0.609524, Average Loss  0.602792, Time  0.221711
2021-09-21 21:11:29.676937 : Epoch  9, Batch    432, Loss  0.602000, Average Loss  0.602827, Time  0.222232
2021-09-21 21:11:31.195943 : Epoch  9, Batch    433, Loss  0.602783, Average Loss  0.602739, Time  0.221117
2021-09-21 21:11:32.658956 : Epoch  9, Batch    434, Loss  0.608053, Average Loss  0.602805, Time  0.221594
2021-09-21 21:11:34.121070 : Epoch  9, Batch    435, Loss  0.614898, Average Loss  0.602913, Time  0.221151
2021-09-21 21:11:35.590048 : Epoch  9, Batch    436, Loss  0.613715, Average Loss  0.602940, Time  0.221524
2021-09-21 21:11:37.065202 : Epoch  9, Batch    437, Loss  0.608160, Average Loss  0.602977, Time  0.221242
2021-09-21 21:11:38.527922 : Epoch  9, Batch    438, Loss  0.610562, Average Loss  0.602920, Time  0.221067
2021-09-21 21:11:39.994217 : Epoch  9, Batch    439, Loss  0.596089, Average Loss  0.602921, Time  0.221037
2021-09-21 21:11:41.470180 : Epoch  9, Batch    440, Loss  0.608525, Average Loss  0.603010, Time  0.221677
2021-09-21 21:11:42.934185 : Epoch  9, Batch    441, Loss  0.592370, Average Loss  0.602901, Time  0.221152
2021-09-21 21:11:44.398217 : Epoch  9, Batch    442, Loss  0.610041, Average Loss  0.602962, Time  0.221297
2021-09-21 21:11:45.870005 : Epoch  9, Batch    443, Loss  0.602008, Average Loss  0.602942, Time  0.221619
2021-09-21 21:11:47.335095 : Epoch  9, Batch    444, Loss  0.607144, Average Loss  0.602935, Time  0.221792
2021-09-21 21:11:48.806714 : Epoch  9, Batch    445, Loss  0.604399, Average Loss  0.602882, Time  0.221497
2021-09-21 21:11:50.269189 : Epoch  9, Batch    446, Loss  0.591045, Average Loss  0.602855, Time  0.221353
2021-09-21 21:11:51.736062 : Epoch  9, Batch    447, Loss  0.601809, Average Loss  0.602805, Time  0.221325
2021-09-21 21:11:53.203386 : Epoch  9, Batch    448, Loss  0.611066, Average Loss  0.602876, Time  0.221832
2021-09-21 21:11:54.668318 : Epoch  9, Batch    449, Loss  0.592887, Average Loss  0.602772, Time  0.221425
2021-09-21 21:11:56.132969 : Epoch  9, Batch    450, Loss  0.607549, Average Loss  0.602776, Time  0.221426
2021-09-21 21:11:57.606084 : Epoch  9, Batch    451, Loss  0.600911, Average Loss  0.602806, Time  0.221225
2021-09-21 21:11:59.076164 : Epoch  9, Batch    452, Loss  0.601032, Average Loss  0.602807, Time  0.221634
2021-09-21 21:12:00.539414 : Epoch  9, Batch    453, Loss  0.598397, Average Loss  0.602814, Time  0.221388
2021-09-21 21:12:02.007940 : Epoch  9, Batch    454, Loss  0.613835, Average Loss  0.602890, Time  0.222244
2021-09-21 21:12:03.478952 : Epoch  9, Batch    455, Loss  0.607434, Average Loss  0.602875, Time  0.221368
2021-09-21 21:12:04.949918 : Epoch  9, Batch    456, Loss  0.597854, Average Loss  0.602849, Time  0.221189
2021-09-21 21:12:06.410873 : Epoch  9, Batch    457, Loss  0.603175, Average Loss  0.602840, Time  0.222196
2021-09-21 21:12:07.877021 : Epoch  9, Batch    458, Loss  0.608390, Average Loss  0.602806, Time  0.221191
2021-09-21 21:12:09.344153 : Epoch  9, Batch    459, Loss  0.602134, Average Loss  0.602828, Time  0.221349
2021-09-21 21:12:10.809672 : Epoch  9, Batch    460, Loss  0.598961, Average Loss  0.602832, Time  0.221790
2021-09-21 21:12:12.277027 : Epoch  9, Batch    461, Loss  0.601979, Average Loss  0.602794, Time  0.221311
2021-09-21 21:12:13.744935 : Epoch  9, Batch    462, Loss  0.600771, Average Loss  0.602798, Time  0.221727
2021-09-21 21:12:15.215959 : Epoch  9, Batch    463, Loss  0.605018, Average Loss  0.602833, Time  0.221742
2021-09-21 21:12:16.687693 : Epoch  9, Batch    464, Loss  0.599226, Average Loss  0.602789, Time  0.222096
2021-09-21 21:12:18.153257 : Epoch  9, Batch    465, Loss  0.603436, Average Loss  0.602803, Time  0.221555
2021-09-21 21:12:19.618206 : Epoch  9, Batch    466, Loss  0.605537, Average Loss  0.602836, Time  0.221374
2021-09-21 21:12:21.101574 : Epoch  9, Batch    467, Loss  0.609933, Average Loss  0.602836, Time  0.221434
2021-09-21 21:12:22.554228 : Epoch  9, Batch    468, Loss  0.609267, Average Loss  0.602835, Time  0.221719
2021-09-21 21:12:24.015970 : Epoch  9, Batch    469, Loss  0.604324, Average Loss  0.602868, Time  0.221394
2021-09-21 21:12:25.481996 : Epoch  9, Batch    470, Loss  0.610329, Average Loss  0.602918, Time  0.221503
2021-09-21 21:12:26.945068 : Epoch  9, Batch    471, Loss  0.599709, Average Loss  0.602865, Time  0.221246
2021-09-21 21:12:28.401201 : Epoch  9, Batch    472, Loss  0.612162, Average Loss  0.602869, Time  0.221380
2021-09-21 21:12:29.859957 : Epoch  9, Batch    473, Loss  0.609249, Average Loss  0.602888, Time  0.221111
2021-09-21 21:12:31.324817 : Epoch  9, Batch    474, Loss  0.604455, Average Loss  0.602896, Time  0.221743
2021-09-21 21:12:35.121986 : Epoch  9, Batch    475, Loss  0.601410, Average Loss  0.602880, Time  0.252125
2021-09-21 21:12:36.584095 : Epoch  9, Batch    476, Loss  0.613974, Average Loss  0.603001, Time  0.225940
2021-09-21 21:12:38.041989 : Epoch  9, Batch    477, Loss  0.600991, Average Loss  0.602951, Time  0.221342
2021-09-21 21:12:39.501840 : Epoch  9, Batch    478, Loss  0.598064, Average Loss  0.602909, Time  0.221683
2021-09-21 21:12:41.009958 : Epoch  9, Batch    479, Loss  0.616911, Average Loss  0.602991, Time  0.221301
2021-09-21 21:12:42.460807 : Epoch  9, Batch    480, Loss  0.591416, Average Loss  0.602974, Time  0.221565
2021-09-21 21:12:43.924000 : Epoch  9, Batch    481, Loss  0.614036, Average Loss  0.603069, Time  0.221583
2021-09-21 21:12:45.379972 : Epoch  9, Batch    482, Loss  0.606019, Average Loss  0.603103, Time  0.221377
2021-09-21 21:12:46.844022 : Epoch  9, Batch    483, Loss  0.601705, Average Loss  0.603077, Time  0.221149
2021-09-21 21:12:48.303204 : Epoch  9, Batch    484, Loss  0.606254, Average Loss  0.603035, Time  0.221378
2021-09-21 21:12:49.769964 : Epoch  9, Batch    485, Loss  0.603533, Average Loss  0.602974, Time  0.221052
2021-09-21 21:12:51.225532 : Epoch  9, Batch    486, Loss  0.593577, Average Loss  0.602875, Time  0.221783
2021-09-21 21:12:52.685717 : Epoch  9, Batch    487, Loss  0.605889, Average Loss  0.602870, Time  0.221207
2021-09-21 21:12:54.152188 : Epoch  9, Batch    488, Loss  0.596082, Average Loss  0.602888, Time  0.221131
2021-09-21 21:12:55.621008 : Epoch  9, Batch    489, Loss  0.607295, Average Loss  0.603009, Time  0.221390
2021-09-21 21:12:57.073633 : Epoch  9, Batch    490, Loss  0.596771, Average Loss  0.602974, Time  0.221955
2021-09-21 21:12:58.532704 : Epoch  9, Batch    491, Loss  0.600144, Average Loss  0.602930, Time  0.221292
2021-09-21 21:12:59.981024 : Epoch  9, Batch    492, Loss  0.608131, Average Loss  0.602921, Time  0.221549
2021-09-21 21:13:01.443721 : Epoch  9, Batch    493, Loss  0.595172, Average Loss  0.602918, Time  0.222611
2021-09-21 21:13:02.915809 : Epoch  9, Batch    494, Loss  0.611523, Average Loss  0.602927, Time  0.222067
2021-09-21 21:13:04.388956 : Epoch  9, Batch    495, Loss  0.595485, Average Loss  0.602914, Time  0.221600
2021-09-21 21:13:05.849213 : Epoch  9, Batch    496, Loss  0.606336, Average Loss  0.602935, Time  0.221494
2021-09-21 21:13:07.316677 : Epoch  9, Batch    497, Loss  0.614221, Average Loss  0.603014, Time  0.221563
2021-09-21 21:13:08.778776 : Epoch  9, Batch    498, Loss  0.603687, Average Loss  0.603042, Time  0.221467
2021-09-21 21:13:10.243777 : Epoch  9, Batch    499, Loss  0.606654, Average Loss  0.603150, Time  0.222787
2021-09-21 21:13:11.709679 : Epoch  9, Batch    500, Loss  0.596383, Average Loss  0.603114, Time  0.222152
2021-09-21 21:13:13.166216 : Epoch  9, Batch    501, Loss  0.584939, Average Loss  0.603001, Time  0.221295
2021-09-21 21:13:14.632197 : Epoch  9, Batch    502, Loss  0.596920, Average Loss  0.602986, Time  0.221589
2021-09-21 21:13:16.097193 : Epoch  9, Batch    503, Loss  0.602114, Average Loss  0.603034, Time  0.221407
2021-09-21 21:13:17.550504 : Epoch  9, Batch    504, Loss  0.605317, Average Loss  0.603052, Time  0.221485
2021-09-21 21:14:12.455593 : CheckPoint: Validation Loss  0.00024983, Best Loss  0.00024129
2021-09-21 21:14:13.955144 : Epoch  9, Batch    505, Loss  0.594829, Average Loss  0.602988, Time  0.241028
2021-09-21 21:14:15.423191 : Epoch  9, Batch    506, Loss  0.601326, Average Loss  0.602944, Time  0.221863
2021-09-21 21:14:16.890761 : Epoch  9, Batch    507, Loss  0.596360, Average Loss  0.602889, Time  0.221424
2021-09-21 21:14:18.350998 : Epoch  9, Batch    508, Loss  0.616838, Average Loss  0.602942, Time  0.221493
2021-09-21 21:14:19.831995 : Epoch  9, Batch    509, Loss  0.590513, Average Loss  0.602868, Time  0.221273
2021-09-21 21:14:21.294219 : Epoch  9, Batch    510, Loss  0.598891, Average Loss  0.602868, Time  0.221444
2021-09-21 21:14:22.761900 : Epoch  9, Batch    511, Loss  0.605384, Average Loss  0.602899, Time  0.221307
2021-09-21 21:14:24.217928 : Epoch  9, Batch    512, Loss  0.600940, Average Loss  0.602837, Time  0.221463
2021-09-21 21:14:25.676915 : Epoch  9, Batch    513, Loss  0.609610, Average Loss  0.602858, Time  0.221379
2021-09-21 21:14:27.135902 : Epoch  9, Batch    514, Loss  0.601112, Average Loss  0.602860, Time  0.221570
2021-09-21 21:14:28.612700 : Epoch  9, Batch    515, Loss  0.607721, Average Loss  0.602834, Time  0.221222
2021-09-21 21:14:30.076064 : Epoch  9, Batch    516, Loss  0.605205, Average Loss  0.602820, Time  0.221222
2021-09-21 21:14:31.550979 : Epoch  9, Batch    517, Loss  0.594228, Average Loss  0.602790, Time  0.221189
2021-09-21 21:14:33.016068 : Epoch  9, Batch    518, Loss  0.614080, Average Loss  0.602796, Time  0.221506
2021-09-21 21:14:34.477036 : Epoch  9, Batch    519, Loss  0.599510, Average Loss  0.602815, Time  0.222287
2021-09-21 21:14:35.939192 : Epoch  9, Batch    520, Loss  0.601435, Average Loss  0.602819, Time  0.221267
2021-09-21 21:14:37.408054 : Epoch  9, Batch    521, Loss  0.597720, Average Loss  0.602835, Time  0.221343
2021-09-21 21:14:38.883213 : Epoch  9, Batch    522, Loss  0.596356, Average Loss  0.602779, Time  0.221815
2021-09-21 21:14:40.348268 : Epoch  9, Batch    523, Loss  0.593714, Average Loss  0.602775, Time  0.222058
2021-09-21 21:14:41.808961 : Epoch  9, Batch    524, Loss  0.601944, Average Loss  0.602713, Time  0.221312
2021-09-21 21:14:43.262968 : Epoch  9, Batch    525, Loss  0.596311, Average Loss  0.602679, Time  0.221354
2021-09-21 21:14:44.727042 : Epoch  9, Batch    526, Loss  0.604425, Average Loss  0.602694, Time  0.221912
2021-09-21 21:14:46.184277 : Epoch  9, Batch    527, Loss  0.607267, Average Loss  0.602669, Time  0.221529
2021-09-21 21:14:47.644186 : Epoch  9, Batch    528, Loss  0.596385, Average Loss  0.602652, Time  0.221378
2021-09-21 21:14:49.099548 : Epoch  9, Batch    529, Loss  0.604811, Average Loss  0.602708, Time  0.221417
2021-09-21 21:14:50.568029 : Epoch  9, Batch    530, Loss  0.602254, Average Loss  0.602741, Time  0.222363
2021-09-21 21:14:52.032689 : Epoch  9, Batch    531, Loss  0.600996, Average Loss  0.602763, Time  0.221209
2021-09-21 21:14:53.492960 : Epoch  9, Batch    532, Loss  0.607857, Average Loss  0.602694, Time  0.221479
2021-09-21 21:14:54.962726 : Epoch  9, Batch    533, Loss  0.605164, Average Loss  0.602777, Time  0.221624
2021-09-21 21:14:56.431933 : Epoch  9, Batch    534, Loss  0.600512, Average Loss  0.602824, Time  0.221776
2021-09-21 21:14:57.939143 : Epoch  9, Batch    535, Loss  0.596444, Average Loss  0.602729, Time  0.222087
2021-09-21 21:14:59.415742 : Epoch  9, Batch    536, Loss  0.601192, Average Loss  0.602714, Time  0.223219
2021-09-21 21:15:00.947006 : Epoch  9, Batch    537, Loss  0.598618, Average Loss  0.602702, Time  0.221631
2021-09-21 21:15:02.414754 : Epoch  9, Batch    538, Loss  0.604780, Average Loss  0.602723, Time  0.221680
2021-09-21 21:15:03.872125 : Epoch  9, Batch    539, Loss  0.598466, Average Loss  0.602764, Time  0.221720
2021-09-21 21:15:05.340761 : Epoch  9, Batch    540, Loss  0.607663, Average Loss  0.602767, Time  0.222209
2021-09-21 21:15:06.807968 : Epoch  9, Batch    541, Loss  0.611097, Average Loss  0.602818, Time  0.221539
2021-09-21 21:15:08.273121 : Epoch  9, Batch    542, Loss  0.601801, Average Loss  0.602865, Time  0.221404
2021-09-21 21:15:09.739961 : Epoch  9, Batch    543, Loss  0.600518, Average Loss  0.602887, Time  0.222273
2021-09-21 21:15:11.228732 : Epoch  9, Batch    544, Loss  0.597407, Average Loss  0.602888, Time  0.223089
2021-09-21 21:15:12.699800 : Epoch  9, Batch    545, Loss  0.601929, Average Loss  0.602928, Time  0.221501
2021-09-21 21:15:14.163877 : Epoch  9, Batch    546, Loss  0.603678, Average Loss  0.602910, Time  0.221645
2021-09-21 21:15:15.633460 : Epoch  9, Batch    547, Loss  0.610213, Average Loss  0.602916, Time  0.221894
2021-09-21 21:15:17.136298 : Epoch  9, Batch    548, Loss  0.585472, Average Loss  0.602789, Time  0.223901
2021-09-21 21:15:18.621253 : Epoch  9, Batch    549, Loss  0.604628, Average Loss  0.602823, Time  0.223989
2021-09-21 21:15:20.128777 : Epoch  9, Batch    550, Loss  0.602658, Average Loss  0.602873, Time  0.222333
2021-09-21 21:15:21.626943 : Epoch  9, Batch    551, Loss  0.600159, Average Loss  0.602824, Time  0.221349
2021-09-21 21:15:23.092594 : Epoch  9, Batch    552, Loss  0.594485, Average Loss  0.602792, Time  0.221233
2021-09-21 21:15:24.564728 : Epoch  9, Batch    553, Loss  0.602607, Average Loss  0.602815, Time  0.222015
2021-09-21 21:15:26.027721 : Epoch  9, Batch    554, Loss  0.589278, Average Loss  0.602738, Time  0.221344
2021-09-21 21:15:27.485699 : Epoch  9, Batch    555, Loss  0.603228, Average Loss  0.602790, Time  0.221674
2021-09-21 21:15:28.946723 : Epoch  9, Batch    556, Loss  0.590563, Average Loss  0.602733, Time  0.221546
2021-09-21 21:15:30.413685 : Epoch  9, Batch    557, Loss  0.597643, Average Loss  0.602670, Time  0.221839
2021-09-21 21:15:31.887186 : Epoch  9, Batch    558, Loss  0.587860, Average Loss  0.602587, Time  0.221581
2021-09-21 21:15:33.370352 : Epoch  9, Batch    559, Loss  0.613263, Average Loss  0.602627, Time  0.221673
2021-09-21 21:15:34.828756 : Epoch  9, Batch    560, Loss  0.603206, Average Loss  0.602659, Time  0.221810
2021-09-21 21:15:36.290709 : Epoch  9, Batch    561, Loss  0.595691, Average Loss  0.602626, Time  0.222392
2021-09-21 21:15:37.748216 : Epoch  9, Batch    562, Loss  0.604353, Average Loss  0.602714, Time  0.221722
2021-09-21 21:15:39.209762 : Epoch  9, Batch    563, Loss  0.608458, Average Loss  0.602727, Time  0.221459
2021-09-21 21:15:40.669972 : Epoch  9, Batch    564, Loss  0.613287, Average Loss  0.602768, Time  0.222220
2021-09-21 21:15:42.135671 : Epoch  9, Batch    565, Loss  0.606062, Average Loss  0.602787, Time  0.221503
2021-09-21 21:15:43.596096 : Epoch  9, Batch    566, Loss  0.595082, Average Loss  0.602749, Time  0.221937
2021-09-21 21:15:45.057691 : Epoch  9, Batch    567, Loss  0.605400, Average Loss  0.602815, Time  0.221463
2021-09-21 21:15:46.514739 : Epoch  9, Batch    568, Loss  0.599559, Average Loss  0.602821, Time  0.221723
2021-09-21 21:15:47.975236 : Epoch  9, Batch    569, Loss  0.614249, Average Loss  0.602852, Time  0.221639
2021-09-21 21:15:49.449490 : Epoch  9, Batch    570, Loss  0.603927, Average Loss  0.602802, Time  0.221864
2021-09-21 21:15:50.945941 : Epoch  9, Batch    571, Loss  0.597950, Average Loss  0.602759, Time  0.221785
2021-09-21 21:15:52.441975 : Epoch  9, Batch    572, Loss  0.601457, Average Loss  0.602769, Time  0.221513
2021-09-21 21:15:53.926839 : Epoch  9, Batch    573, Loss  0.593217, Average Loss  0.602732, Time  0.222453
2021-09-21 21:15:55.395887 : Epoch  9, Batch    574, Loss  0.605951, Average Loss  0.602766, Time  0.221457
2021-09-21 21:15:59.254562 : Epoch  9, Batch    575, Loss  0.609013, Average Loss  0.602766, Time  0.258222
2021-09-21 21:16:00.799174 : Epoch  9, Batch    576, Loss  0.600511, Average Loss  0.602765, Time  0.239080
2021-09-21 21:16:02.271361 : Epoch  9, Batch    577, Loss  0.605711, Average Loss  0.602792, Time  0.221409
2021-09-21 21:16:03.727070 : Epoch  9, Batch    578, Loss  0.605775, Average Loss  0.602770, Time  0.222208
2021-09-21 21:16:05.262803 : Epoch  9, Batch    579, Loss  0.599257, Average Loss  0.602783, Time  0.222083
2021-09-21 21:16:06.733808 : Epoch  9, Batch    580, Loss  0.600675, Average Loss  0.602813, Time  0.221387
2021-09-21 21:16:08.218772 : Epoch  9, Batch    581, Loss  0.599527, Average Loss  0.602778, Time  0.221740
2021-09-21 21:16:09.689007 : Epoch  9, Batch    582, Loss  0.605906, Average Loss  0.602792, Time  0.221804
2021-09-21 21:16:11.151740 : Epoch  9, Batch    583, Loss  0.596503, Average Loss  0.602724, Time  0.221495
2021-09-21 21:16:12.645264 : Epoch  9, Batch    584, Loss  0.599963, Average Loss  0.602708, Time  0.224306
2021-09-21 21:16:14.192781 : Epoch  9, Batch    585, Loss  0.597281, Average Loss  0.602656, Time  0.224187
2021-09-21 21:16:15.713993 : Epoch  9, Batch    586, Loss  0.606004, Average Loss  0.602614, Time  0.223454
2021-09-21 21:16:17.196251 : Epoch  9, Batch    587, Loss  0.602416, Average Loss  0.602676, Time  0.221678
2021-09-21 21:16:18.682705 : Epoch  9, Batch    588, Loss  0.600219, Average Loss  0.602641, Time  0.221660
2021-09-21 21:16:20.140759 : Epoch  9, Batch    589, Loss  0.598825, Average Loss  0.602617, Time  0.221631
2021-09-21 21:16:21.629385 : Epoch  9, Batch    590, Loss  0.609680, Average Loss  0.602642, Time  0.221895
2021-09-21 21:16:23.123801 : Epoch  9, Batch    591, Loss  0.601572, Average Loss  0.602641, Time  0.222339
2021-09-21 21:16:24.606718 : Epoch  9, Batch    592, Loss  0.584891, Average Loss  0.602561, Time  0.222072
2021-09-21 21:16:26.094765 : Epoch  9, Batch    593, Loss  0.597211, Average Loss  0.602505, Time  0.222180
2021-09-21 21:16:27.579229 : Epoch  9, Batch    594, Loss  0.607535, Average Loss  0.602517, Time  0.223680
2021-09-21 21:16:29.059061 : Epoch  9, Batch    595, Loss  0.606834, Average Loss  0.602486, Time  0.221683
2021-09-21 21:16:30.536179 : Epoch  9, Batch    596, Loss  0.599684, Average Loss  0.602501, Time  0.222324
2021-09-21 21:16:32.017970 : Epoch  9, Batch    597, Loss  0.603154, Average Loss  0.602574, Time  0.221682
2021-09-21 21:16:33.484098 : Epoch  9, Batch    598, Loss  0.593817, Average Loss  0.602533, Time  0.221864
2021-09-21 21:16:34.944040 : Epoch  9, Batch    599, Loss  0.598438, Average Loss  0.602514, Time  0.222360
2021-09-21 21:16:36.406136 : Epoch  9, Batch    600, Loss  0.613394, Average Loss  0.602553, Time  0.222460
2021-09-21 21:16:37.876203 : Epoch  9, Batch    601, Loss  0.594938, Average Loss  0.602526, Time  0.221488
2021-09-21 21:16:39.342992 : Epoch  9, Batch    602, Loss  0.598461, Average Loss  0.602522, Time  0.221529
2021-09-21 21:16:40.808027 : Epoch  9, Batch    603, Loss  0.591955, Average Loss  0.602445, Time  0.222728
2021-09-21 21:16:42.346248 : Epoch  9, Batch    604, Loss  0.610487, Average Loss  0.602452, Time  0.221699
2021-09-21 21:17:37.758685 : CheckPoint: Validation Loss  0.00025782, Best Loss  0.00024129
2021-09-21 21:17:39.237076 : Epoch  9, Batch    605, Loss  0.599047, Average Loss  0.602471, Time  0.223509
2021-09-21 21:17:40.713796 : Epoch  9, Batch    606, Loss  0.593875, Average Loss  0.602410, Time  0.221865
2021-09-21 21:17:42.195360 : Epoch  9, Batch    607, Loss  0.611649, Average Loss  0.602431, Time  0.221539
2021-09-21 21:17:43.665309 : Epoch  9, Batch    608, Loss  0.605990, Average Loss  0.602468, Time  0.222365
2021-09-21 21:17:45.144062 : Epoch  9, Batch    609, Loss  0.592995, Average Loss  0.602421, Time  0.221622
2021-09-21 21:17:46.603975 : Epoch  9, Batch    610, Loss  0.617590, Average Loss  0.602527, Time  0.221392
2021-09-21 21:17:48.073980 : Epoch  9, Batch    611, Loss  0.600385, Average Loss  0.602557, Time  0.221297
2021-09-21 21:17:49.563287 : Epoch  9, Batch    612, Loss  0.597585, Average Loss  0.602494, Time  0.222970
2021-09-21 21:17:51.045043 : Epoch  9, Batch    613, Loss  0.603059, Average Loss  0.602508, Time  0.232373
2021-09-21 21:17:52.512728 : Epoch  9, Batch    614, Loss  0.601846, Average Loss  0.602580, Time  0.222013
2021-09-21 21:17:53.998208 : Epoch  9, Batch    615, Loss  0.603083, Average Loss  0.602537, Time  0.221852
2021-09-21 21:17:55.470280 : Epoch  9, Batch    616, Loss  0.591805, Average Loss  0.602500, Time  0.221343
2021-09-21 21:17:56.929968 : Epoch  9, Batch    617, Loss  0.606613, Average Loss  0.602546, Time  0.221388
2021-09-21 21:17:58.420760 : Epoch  9, Batch    618, Loss  0.599911, Average Loss  0.602532, Time  0.221773
2021-09-21 21:17:59.914925 : Epoch  9, Batch    619, Loss  0.600778, Average Loss  0.602558, Time  0.222262
2021-09-21 21:18:01.382767 : Epoch  9, Batch    620, Loss  0.601888, Average Loss  0.602540, Time  0.221754
2021-09-21 21:18:02.851825 : Epoch  9, Batch    621, Loss  0.602410, Average Loss  0.602521, Time  0.222738
2021-09-21 21:18:04.350319 : Epoch  9, Batch    622, Loss  0.605037, Average Loss  0.602559, Time  0.221690
2021-09-21 21:18:05.843811 : Epoch  9, Batch    623, Loss  0.595574, Average Loss  0.602512, Time  0.222394
2021-09-21 21:18:07.312013 : Epoch  9, Batch    624, Loss  0.599896, Average Loss  0.602503, Time  0.221780
2021-09-21 21:18:08.777709 : Epoch  9, Batch    625, Loss  0.613285, Average Loss  0.602470, Time  0.221504
2021-09-21 21:18:10.248854 : Epoch  9, Batch    626, Loss  0.604971, Average Loss  0.602435, Time  0.222898
2021-09-21 21:18:11.742694 : Epoch  9, Batch    627, Loss  0.616066, Average Loss  0.602509, Time  0.221735
2021-09-21 21:18:13.209669 : Epoch  9, Batch    628, Loss  0.604641, Average Loss  0.602489, Time  0.222425
2021-09-21 21:18:14.723912 : Epoch  9, Batch    629, Loss  0.594585, Average Loss  0.602492, Time  0.222298
2021-09-21 21:18:16.195205 : Epoch  9, Batch    630, Loss  0.598400, Average Loss  0.602465, Time  0.221548
2021-09-21 21:18:17.689725 : Epoch  9, Batch    631, Loss  0.616518, Average Loss  0.602499, Time  0.221771
2021-09-21 21:18:19.164042 : Epoch  9, Batch    632, Loss  0.595856, Average Loss  0.602469, Time  0.222404
2021-09-21 21:18:20.685310 : Epoch  9, Batch    633, Loss  0.593888, Average Loss  0.602424, Time  0.222448
2021-09-21 21:18:22.360078 : Epoch  9, Batch    634, Loss  0.609404, Average Loss  0.602431, Time  0.221553
2021-09-21 21:18:23.855784 : Epoch  9, Batch    635, Loss  0.608100, Average Loss  0.602397, Time  0.223154
2021-09-21 21:18:25.331762 : Epoch  9, Batch    636, Loss  0.605403, Average Loss  0.602355, Time  0.221695
2021-09-21 21:18:26.802694 : Epoch  9, Batch    637, Loss  0.597922, Average Loss  0.602304, Time  0.221195
2021-09-21 21:18:28.270028 : Epoch  9, Batch    638, Loss  0.596634, Average Loss  0.602235, Time  0.221711
2021-09-21 21:18:29.756122 : Epoch  9, Batch    639, Loss  0.597775, Average Loss  0.602243, Time  0.244128
2021-09-21 21:18:31.224820 : Epoch  9, Batch    640, Loss  0.607759, Average Loss  0.602239, Time  0.221368
2021-09-21 21:18:32.685153 : Epoch  9, Batch    641, Loss  0.589296, Average Loss  0.602224, Time  0.221251
2021-09-21 21:18:34.144933 : Epoch  9, Batch    642, Loss  0.610538, Average Loss  0.602226, Time  0.221247
2021-09-21 21:18:35.601917 : Epoch  9, Batch    643, Loss  0.595571, Average Loss  0.602194, Time  0.221412
2021-09-21 21:18:37.089476 : Epoch  9, Batch    644, Loss  0.593400, Average Loss  0.602125, Time  0.221247
2021-09-21 21:18:38.554009 : Epoch  9, Batch    645, Loss  0.604796, Average Loss  0.602127, Time  0.221503
2021-09-21 21:18:40.029987 : Epoch  9, Batch    646, Loss  0.589361, Average Loss  0.602119, Time  0.228498
2021-09-21 21:18:41.501210 : Epoch  9, Batch    647, Loss  0.610455, Average Loss  0.602162, Time  0.221302
2021-09-21 21:18:42.973208 : Epoch  9, Batch    648, Loss  0.604721, Average Loss  0.602131, Time  0.221377
2021-09-21 21:18:44.464944 : Epoch  9, Batch    649, Loss  0.600565, Average Loss  0.602169, Time  0.221562
2021-09-21 21:18:45.938702 : Epoch  9, Batch    650, Loss  0.605697, Average Loss  0.602160, Time  0.221557
2021-09-21 21:18:47.401972 : Epoch  9, Batch    651, Loss  0.601160, Average Loss  0.602161, Time  0.221226
2021-09-21 21:18:48.882970 : Epoch  9, Batch    652, Loss  0.606421, Average Loss  0.602188, Time  0.221849
2021-09-21 21:18:50.336700 : Epoch  9, Batch    653, Loss  0.606574, Average Loss  0.602229, Time  0.221144
2021-09-21 21:18:51.791222 : Epoch  9, Batch    654, Loss  0.595651, Average Loss  0.602138, Time  0.221144
2021-09-21 21:18:53.277096 : Epoch  9, Batch    655, Loss  0.609170, Average Loss  0.602147, Time  0.221618
2021-09-21 21:18:54.766014 : Epoch  9, Batch    656, Loss  0.597523, Average Loss  0.602145, Time  0.221546
2021-09-21 21:18:56.229986 : Epoch  9, Batch    657, Loss  0.608834, Average Loss  0.602173, Time  0.221227
2021-09-21 21:18:57.696782 : Epoch  9, Batch    658, Loss  0.606137, Average Loss  0.602162, Time  0.221358
2021-09-21 21:18:59.163000 : Epoch  9, Batch    659, Loss  0.607783, Average Loss  0.602190, Time  0.221392
2021-09-21 21:19:00.622631 : Epoch  9, Batch    660, Loss  0.612641, Average Loss  0.602259, Time  0.221387
2021-09-21 21:19:02.086193 : Epoch  9, Batch    661, Loss  0.601752, Average Loss  0.602257, Time  0.221228
2021-09-21 21:19:03.540127 : Epoch  9, Batch    662, Loss  0.601126, Average Loss  0.602259, Time  0.221355
2021-09-21 21:19:05.022813 : Epoch  9, Batch    663, Loss  0.611309, Average Loss  0.602291, Time  0.221208
2021-09-21 21:19:06.493951 : Epoch  9, Batch    664, Loss  0.595616, Average Loss  0.602273, Time  0.221643
2021-09-21 21:19:07.982691 : Epoch  9, Batch    665, Loss  0.608859, Average Loss  0.602300, Time  0.221189
2021-09-21 21:19:09.438079 : Epoch  9, Batch    666, Loss  0.597431, Average Loss  0.602259, Time  0.221364
2021-09-21 21:19:10.902969 : Epoch  9, Batch    667, Loss  0.614967, Average Loss  0.602284, Time  0.221446
2021-09-21 21:19:12.369126 : Epoch  9, Batch    668, Loss  0.605645, Average Loss  0.602266, Time  0.221277
2021-09-21 21:19:13.859473 : Epoch  9, Batch    669, Loss  0.599969, Average Loss  0.602244, Time  0.222191
2021-09-21 21:19:15.325131 : Epoch  9, Batch    670, Loss  0.596953, Average Loss  0.602178, Time  0.221498
2021-09-21 21:19:16.795956 : Epoch  9, Batch    671, Loss  0.609929, Average Loss  0.602229, Time  0.221724
2021-09-21 21:19:18.263954 : Epoch  9, Batch    672, Loss  0.607400, Average Loss  0.602205, Time  0.222430
2021-09-21 21:19:19.725903 : Epoch  9, Batch    673, Loss  0.609904, Average Loss  0.602208, Time  0.221174
2021-09-21 21:19:21.229747 : Epoch  9, Batch    674, Loss  0.603719, Average Loss  0.602204, Time  0.222018
2021-09-21 21:19:24.988389 : Epoch  9, Batch    675, Loss  0.597260, Average Loss  0.602184, Time  0.252921
2021-09-21 21:19:26.475076 : Epoch  9, Batch    676, Loss  0.602666, Average Loss  0.602127, Time  0.225890
2021-09-21 21:19:27.936738 : Epoch  9, Batch    677, Loss  0.610092, Average Loss  0.602173, Time  0.221263
2021-09-21 21:19:29.397933 : Epoch  9, Batch    678, Loss  0.593004, Average Loss  0.602147, Time  0.221339
2021-09-21 21:19:30.853279 : Epoch  9, Batch    679, Loss  0.603041, Average Loss  0.602078, Time  0.221057
2021-09-21 21:19:32.305121 : Epoch  9, Batch    680, Loss  0.611084, Average Loss  0.602176, Time  0.221338
2021-09-21 21:19:33.805962 : Epoch  9, Batch    681, Loss  0.601263, Average Loss  0.602112, Time  0.221108
2021-09-21 21:19:35.256061 : Epoch  9, Batch    682, Loss  0.594836, Average Loss  0.602057, Time  0.221589
2021-09-21 21:19:36.712129 : Epoch  9, Batch    683, Loss  0.611455, Average Loss  0.602105, Time  0.221083
2021-09-21 21:19:38.173928 : Epoch  9, Batch    684, Loss  0.596479, Average Loss  0.602056, Time  0.221562
2021-09-21 21:19:39.656939 : Epoch  9, Batch    685, Loss  0.592968, Average Loss  0.602004, Time  0.222657
2021-09-21 21:19:41.111903 : Epoch  9, Batch    686, Loss  0.598810, Average Loss  0.602030, Time  0.221547
2021-09-21 21:19:42.648225 : Epoch  9, Batch    687, Loss  0.591127, Average Loss  0.601956, Time  0.222000
2021-09-21 21:19:44.116958 : Epoch  9, Batch    688, Loss  0.608741, Average Loss  0.602019, Time  0.221814
2021-09-21 21:19:45.605861 : Epoch  9, Batch    689, Loss  0.604803, Average Loss  0.602007, Time  0.221456
2021-09-21 21:19:47.066858 : Epoch  9, Batch    690, Loss  0.589353, Average Loss  0.601970, Time  0.222244
2021-09-21 21:19:48.580646 : Epoch  9, Batch    691, Loss  0.596218, Average Loss  0.601950, Time  0.221843
2021-09-21 21:19:50.055427 : Epoch  9, Batch    692, Loss  0.591905, Average Loss  0.601869, Time  0.221987
2021-09-21 21:19:51.519765 : Epoch  9, Batch    693, Loss  0.597757, Average Loss  0.601882, Time  0.221835
2021-09-21 21:19:52.989766 : Epoch  9, Batch    694, Loss  0.601365, Average Loss  0.601831, Time  0.222173
2021-09-21 21:19:54.454924 : Epoch  9, Batch    695, Loss  0.601924, Average Loss  0.601863, Time  0.221462
2021-09-21 21:19:55.931414 : Epoch  9, Batch    696, Loss  0.593311, Average Loss  0.601798, Time  0.225177
2021-09-21 21:19:57.411913 : Epoch  9, Batch    697, Loss  0.596005, Average Loss  0.601707, Time  0.221129
2021-09-21 21:19:58.891595 : Epoch  9, Batch    698, Loss  0.615436, Average Loss  0.601766, Time  0.223261
2021-09-21 21:20:00.432762 : Epoch  9, Batch    699, Loss  0.596714, Average Loss  0.601716, Time  0.222581
2021-09-21 21:20:01.920048 : Epoch  9, Batch    700, Loss  0.588958, Average Loss  0.601679, Time  0.223719
2021-09-21 21:20:03.406748 : Epoch  9, Batch    701, Loss  0.597948, Average Loss  0.601744, Time  0.223065
2021-09-21 21:20:04.909148 : Epoch  9, Batch    702, Loss  0.610590, Average Loss  0.601812, Time  0.222415
2021-09-21 21:20:06.373703 : Epoch  9, Batch    703, Loss  0.582837, Average Loss  0.601716, Time  0.222001
2021-09-21 21:20:10.146781 : Epoch  9, Batch    704, Loss  0.599685, Average Loss  0.601688, Time  0.257525
2021-09-21 21:21:04.769155 : CheckPoint: Validation Loss  0.00025328, Best Loss  0.00024129
2021-09-21 21:21:06.231129 : Epoch  9, Batch    705, Loss  0.597984, Average Loss  0.601704, Time  0.222262
2021-09-21 21:21:07.722177 : Epoch  9, Batch    706, Loss  0.590969, Average Loss  0.601652, Time  0.221789
2021-09-21 21:21:09.189909 : Epoch  9, Batch    707, Loss  0.593403, Average Loss  0.601637, Time  0.221231
2021-09-21 21:21:10.650765 : Epoch  9, Batch    708, Loss  0.608562, Average Loss  0.601596, Time  0.221299
2021-09-21 21:21:12.116115 : Epoch  9, Batch    709, Loss  0.598725, Average Loss  0.601637, Time  0.222294
2021-09-21 21:21:13.585541 : Epoch  9, Batch    710, Loss  0.604573, Average Loss  0.601665, Time  0.221474
2021-09-21 21:21:15.046864 : Epoch  9, Batch    711, Loss  0.606453, Average Loss  0.601671, Time  0.221656
2021-09-21 21:21:16.512077 : Epoch  9, Batch    712, Loss  0.600268, Average Loss  0.601667, Time  0.221331
2021-09-21 21:21:17.982939 : Epoch  9, Batch    713, Loss  0.600547, Average Loss  0.601622, Time  0.221268
2021-09-21 21:21:19.437927 : Epoch  9, Batch    714, Loss  0.605590, Average Loss  0.601644, Time  0.221296
2021-09-21 21:21:20.896017 : Epoch  9, Batch    715, Loss  0.604878, Average Loss  0.601630, Time  0.221251
2021-09-21 21:21:22.367344 : Epoch  9, Batch    716, Loss  0.609473, Average Loss  0.601651, Time  0.221478
2021-09-21 21:21:23.846729 : Epoch  9, Batch    717, Loss  0.606565, Average Loss  0.601713, Time  0.232954
2021-09-21 21:21:25.299715 : Epoch  9, Batch    718, Loss  0.601539, Average Loss  0.601650, Time  0.221320
2021-09-21 21:21:26.752821 : Epoch  9, Batch    719, Loss  0.599716, Average Loss  0.601651, Time  0.221395
2021-09-21 21:21:28.209805 : Epoch  9, Batch    720, Loss  0.591610, Average Loss  0.601602, Time  0.221228
2021-09-21 21:21:29.664850 : Epoch  9, Batch    721, Loss  0.593130, Average Loss  0.601579, Time  0.221479
2021-09-21 21:21:31.152929 : Epoch  9, Batch    722, Loss  0.602126, Average Loss  0.601608, Time  0.221249
2021-09-21 21:21:32.613938 : Epoch  9, Batch    723, Loss  0.605440, Average Loss  0.601667, Time  0.221437
2021-09-21 21:21:34.098892 : Epoch  9, Batch    724, Loss  0.602825, Average Loss  0.601671, Time  0.232441
2021-09-21 21:21:35.580871 : Epoch  9, Batch    725, Loss  0.610379, Average Loss  0.601741, Time  0.221217
2021-09-21 21:21:37.066379 : Epoch  9, Batch    726, Loss  0.587825, Average Loss  0.601658, Time  0.221883
2021-09-21 21:21:38.525613 : Epoch  9, Batch    727, Loss  0.606389, Average Loss  0.601654, Time  0.221428
2021-09-21 21:21:39.982788 : Epoch  9, Batch    728, Loss  0.589389, Average Loss  0.601619, Time  0.221154
2021-09-21 21:21:41.464848 : Epoch  9, Batch    729, Loss  0.597351, Average Loss  0.601582, Time  0.221433
2021-09-21 21:21:42.933102 : Epoch  9, Batch    730, Loss  0.602529, Average Loss  0.601583, Time  0.221757
2021-09-21 21:21:44.400762 : Epoch  9, Batch    731, Loss  0.593819, Average Loss  0.601547, Time  0.222686
2021-09-21 21:21:45.866105 : Epoch  9, Batch    732, Loss  0.603138, Average Loss  0.601524, Time  0.221270
2021-09-21 21:21:47.355984 : Epoch  9, Batch    733, Loss  0.597483, Average Loss  0.601485, Time  0.221512
2021-09-21 21:21:48.815310 : Epoch  9, Batch    734, Loss  0.598148, Average Loss  0.601473, Time  0.221758
2021-09-21 21:21:50.277667 : Epoch  9, Batch    735, Loss  0.599029, Average Loss  0.601486, Time  0.221689
2021-09-21 21:21:51.746926 : Epoch  9, Batch    736, Loss  0.588711, Average Loss  0.601424, Time  0.221290
2021-09-21 21:21:53.235911 : Epoch  9, Batch    737, Loss  0.601860, Average Loss  0.601440, Time  0.221415
2021-09-21 21:21:54.718115 : Epoch  9, Batch    738, Loss  0.602612, Average Loss  0.601429, Time  0.235720
2021-09-21 21:21:56.185845 : Epoch  9, Batch    739, Loss  0.604468, Average Loss  0.601459, Time  0.221283
2021-09-21 21:21:57.674511 : Epoch  9, Batch    740, Loss  0.615973, Average Loss  0.601501, Time  0.222126
2021-09-21 21:21:59.154051 : Epoch  9, Batch    741, Loss  0.610206, Average Loss  0.601496, Time  0.221308
2021-09-21 21:22:00.621955 : Epoch  9, Batch    742, Loss  0.602870, Average Loss  0.601502, Time  0.221728
2021-09-21 21:22:02.091247 : Epoch  9, Batch    743, Loss  0.602796, Average Loss  0.601513, Time  0.221728
2021-09-21 21:22:03.545225 : Epoch  9, Batch    744, Loss  0.597855, Average Loss  0.601515, Time  0.221293
2021-09-21 21:22:05.001934 : Epoch  9, Batch    745, Loss  0.601248, Average Loss  0.601512, Time  0.221567
2021-09-21 21:22:06.454717 : Epoch  9, Batch    746, Loss  0.601764, Average Loss  0.601502, Time  0.221230
2021-09-21 21:22:07.970929 : Epoch  9, Batch    747, Loss  0.595437, Average Loss  0.601429, Time  0.221385
2021-09-21 21:22:09.436700 : Epoch  9, Batch    748, Loss  0.606436, Average Loss  0.601533, Time  0.221545
2021-09-21 21:22:10.892091 : Epoch  9, Batch    749, Loss  0.612510, Average Loss  0.601573, Time  0.221605
2021-09-21 21:22:12.355159 : Epoch  9, Batch    750, Loss  0.599691, Average Loss  0.601558, Time  0.221154
2021-09-21 21:22:13.808308 : Epoch  9, Batch    751, Loss  0.603658, Average Loss  0.601576, Time  0.221047
2021-09-21 21:22:15.263011 : Epoch  9, Batch    752, Loss  0.604468, Average Loss  0.601625, Time  0.221248
2021-09-21 21:22:16.723756 : Epoch  9, Batch    753, Loss  0.608702, Average Loss  0.601656, Time  0.221306
2021-09-21 21:22:18.213630 : Epoch  9, Batch    754, Loss  0.611459, Average Loss  0.601767, Time  0.221416
2021-09-21 21:22:19.685726 : Epoch  9, Batch    755, Loss  0.603250, Average Loss  0.601767, Time  0.222613
2021-09-21 21:22:21.144911 : Epoch  9, Batch    756, Loss  0.607301, Average Loss  0.601851, Time  0.221653
2021-09-21 21:22:22.605848 : Epoch  9, Batch    757, Loss  0.614239, Average Loss  0.601934, Time  0.221522
2021-09-21 21:22:24.089705 : Epoch  9, Batch    758, Loss  0.593603, Average Loss  0.601962, Time  0.221533
2021-09-21 21:22:25.550295 : Epoch  9, Batch    759, Loss  0.604871, Average Loss  0.601920, Time  0.222234
2021-09-21 21:22:27.014935 : Epoch  9, Batch    760, Loss  0.604526, Average Loss  0.601927, Time  0.221878
2021-09-21 21:22:28.503772 : Epoch  9, Batch    761, Loss  0.600495, Average Loss  0.601951, Time  0.221338
2021-09-21 21:22:29.993663 : Epoch  9, Batch    762, Loss  0.601952, Average Loss  0.601939, Time  0.221234
2021-09-21 21:22:31.457791 : Epoch  9, Batch    763, Loss  0.610829, Average Loss  0.601951, Time  0.221648
2021-09-21 21:22:32.918372 : Epoch  9, Batch    764, Loss  0.600795, Average Loss  0.601888, Time  0.221297
2021-09-21 21:22:34.403688 : Epoch  9, Batch    765, Loss  0.607830, Average Loss  0.601897, Time  0.221322
2021-09-21 21:22:35.864769 : Epoch  9, Batch    766, Loss  0.605808, Average Loss  0.601951, Time  0.222136
2021-09-21 21:22:37.323932 : Epoch  9, Batch    767, Loss  0.599718, Average Loss  0.601922, Time  0.221323
2021-09-21 21:22:38.810983 : Epoch  9, Batch    768, Loss  0.587847, Average Loss  0.601864, Time  0.221909
2021-09-21 21:22:40.303109 : Epoch  9, Batch    769, Loss  0.597737, Average Loss  0.601781, Time  0.221579
2021-09-21 21:22:41.767444 : Epoch  9, Batch    770, Loss  0.596405, Average Loss  0.601744, Time  0.221730
2021-09-21 21:22:43.233883 : Epoch  9, Batch    771, Loss  0.604365, Average Loss  0.601776, Time  0.222013
2021-09-21 21:22:44.728686 : Epoch  9, Batch    772, Loss  0.595342, Average Loss  0.601745, Time  0.221814
2021-09-21 21:22:46.184941 : Epoch  9, Batch    773, Loss  0.597811, Average Loss  0.601768, Time  0.221006
2021-09-21 21:22:47.643055 : Epoch  9, Batch    774, Loss  0.600966, Average Loss  0.601743, Time  0.221140
2021-09-21 21:22:51.559420 : Epoch  9, Batch    775, Loss  0.607283, Average Loss  0.601735, Time  0.251737
2021-09-21 21:22:53.053979 : Epoch  9, Batch    776, Loss  0.610662, Average Loss  0.601785, Time  0.232389
2021-09-21 21:22:54.515645 : Epoch  9, Batch    777, Loss  0.602585, Average Loss  0.601770, Time  0.221543
2021-09-21 21:22:56.007429 : Epoch  9, Batch    778, Loss  0.600262, Average Loss  0.601742, Time  0.222521
2021-09-21 21:22:57.460330 : Epoch  9, Batch    779, Loss  0.595833, Average Loss  0.601725, Time  0.222154
2021-09-21 21:22:58.938788 : Epoch  9, Batch    780, Loss  0.604713, Average Loss  0.601745, Time  0.221572
2021-09-21 21:23:00.415067 : Epoch  9, Batch    781, Loss  0.611265, Average Loss  0.601804, Time  0.221222
2021-09-21 21:23:01.869048 : Epoch  9, Batch    782, Loss  0.582424, Average Loss  0.601686, Time  0.221910
2021-09-21 21:23:03.326924 : Epoch  9, Batch    783, Loss  0.604691, Average Loss  0.601727, Time  0.221303
2021-09-21 21:23:04.777039 : Epoch  9, Batch    784, Loss  0.602347, Average Loss  0.601739, Time  0.221477
2021-09-21 21:23:06.233086 : Epoch  9, Batch    785, Loss  0.614950, Average Loss  0.601828, Time  0.221486
2021-09-21 21:23:07.690071 : Epoch  9, Batch    786, Loss  0.610168, Average Loss  0.601848, Time  0.221396
2021-09-21 21:23:09.146705 : Epoch  9, Batch    787, Loss  0.604269, Average Loss  0.601858, Time  0.221656
2021-09-21 21:23:09.180372 : Saving Model after 9-th Epoch.
2021-09-21 21:23:09.964092 : Epoch Finished.
2021-09-21 21:23:12.080577 : Batch Shuffled
2021-09-21 21:23:13.558381 : Epoch 10, Batch      1, Loss  0.600530, Average Loss  0.601859, Time  0.221857
2021-09-21 21:23:15.018608 : Epoch 10, Batch      2, Loss  0.606976, Average Loss  0.601900, Time  0.221192
2021-09-21 21:23:16.480820 : Epoch 10, Batch      3, Loss  0.608930, Average Loss  0.601896, Time  0.222064
2021-09-21 21:23:17.935284 : Epoch 10, Batch      4, Loss  0.586556, Average Loss  0.601821, Time  0.221708
2021-09-21 21:23:19.386842 : Epoch 10, Batch      5, Loss  0.595468, Average Loss  0.601874, Time  0.222737
2021-09-21 21:23:20.844757 : Epoch 10, Batch      6, Loss  0.602648, Average Loss  0.601901, Time  0.221510
2021-09-21 21:23:22.308092 : Epoch 10, Batch      7, Loss  0.598642, Average Loss  0.601857, Time  0.221759
2021-09-21 21:23:23.772559 : Epoch 10, Batch      8, Loss  0.606191, Average Loss  0.601854, Time  0.221449
2021-09-21 21:23:25.230045 : Epoch 10, Batch      9, Loss  0.600793, Average Loss  0.601859, Time  0.221486
2021-09-21 21:23:26.704493 : Epoch 10, Batch     10, Loss  0.596456, Average Loss  0.601826, Time  0.221252
2021-09-21 21:23:28.155923 : Epoch 10, Batch     11, Loss  0.601636, Average Loss  0.601865, Time  0.221308
2021-09-21 21:23:29.633950 : Epoch 10, Batch     12, Loss  0.604534, Average Loss  0.601895, Time  0.221496
2021-09-21 21:23:31.110098 : Epoch 10, Batch     13, Loss  0.604056, Average Loss  0.601849, Time  0.221248
2021-09-21 21:23:32.572906 : Epoch 10, Batch     14, Loss  0.601360, Average Loss  0.601881, Time  0.221306
2021-09-21 21:23:34.063748 : Epoch 10, Batch     15, Loss  0.606153, Average Loss  0.601919, Time  0.221401
2021-09-21 21:23:35.558768 : Epoch 10, Batch     16, Loss  0.609084, Average Loss  0.602005, Time  0.221441
2021-09-21 21:23:37.023698 : Epoch 10, Batch     17, Loss  0.604344, Average Loss  0.601974, Time  0.221616
2021-09-21 21:24:32.353689 : CheckPoint: Validation Loss  0.00025110, Best Loss  0.00024129
2021-09-21 21:24:33.823529 : Epoch 10, Batch     18, Loss  0.608099, Average Loss  0.602019, Time  0.222110
2021-09-21 21:24:35.313701 : Epoch 10, Batch     19, Loss  0.608264, Average Loss  0.602091, Time  0.221675
2021-09-21 21:24:36.783486 : Epoch 10, Batch     20, Loss  0.604666, Average Loss  0.602056, Time  0.222295
2021-09-21 21:24:38.250570 : Epoch 10, Batch     21, Loss  0.603128, Average Loss  0.602042, Time  0.221888
2021-09-21 21:24:39.710951 : Epoch 10, Batch     22, Loss  0.610354, Average Loss  0.602129, Time  0.221186
2021-09-21 21:24:41.212955 : Epoch 10, Batch     23, Loss  0.609496, Average Loss  0.602088, Time  0.222144
2021-09-21 21:24:42.673747 : Epoch 10, Batch     24, Loss  0.603639, Average Loss  0.602105, Time  0.221120
2021-09-21 21:24:44.138990 : Epoch 10, Batch     25, Loss  0.598141, Average Loss  0.602107, Time  0.220971
2021-09-21 21:24:45.627939 : Epoch 10, Batch     26, Loss  0.601269, Average Loss  0.602098, Time  0.221337
2021-09-21 21:24:47.093925 : Epoch 10, Batch     27, Loss  0.599942, Average Loss  0.602089, Time  0.221426
2021-09-21 21:24:48.559926 : Epoch 10, Batch     28, Loss  0.599655, Average Loss  0.602072, Time  0.221450
2021-09-21 21:24:50.026925 : Epoch 10, Batch     29, Loss  0.605083, Average Loss  0.602138, Time  0.221495
2021-09-21 21:24:51.486214 : Epoch 10, Batch     30, Loss  0.599661, Average Loss  0.602103, Time  0.221287
2021-09-21 21:24:52.981971 : Epoch 10, Batch     31, Loss  0.606160, Average Loss  0.602135, Time  0.221228
2021-09-21 21:24:54.448741 : Epoch 10, Batch     32, Loss  0.601269, Average Loss  0.602137, Time  0.221714
2021-09-21 21:24:55.909007 : Epoch 10, Batch     33, Loss  0.605923, Average Loss  0.602157, Time  0.221474
2021-09-21 21:24:57.370974 : Epoch 10, Batch     34, Loss  0.612406, Average Loss  0.602207, Time  0.221321
2021-09-21 21:24:58.830928 : Epoch 10, Batch     35, Loss  0.596174, Average Loss  0.602163, Time  0.221618
2021-09-21 21:25:00.289730 : Epoch 10, Batch     36, Loss  0.595841, Average Loss  0.602164, Time  0.221172
2021-09-21 21:25:01.743436 : Epoch 10, Batch     37, Loss  0.602745, Average Loss  0.602179, Time  0.222144
2021-09-21 21:25:03.218495 : Epoch 10, Batch     38, Loss  0.600976, Average Loss  0.602117, Time  0.221287
2021-09-21 21:25:04.681911 : Epoch 10, Batch     39, Loss  0.595321, Average Loss  0.602069, Time  0.221359
2021-09-21 21:25:06.158763 : Epoch 10, Batch     40, Loss  0.603854, Average Loss  0.602008, Time  0.221351
2021-09-21 21:25:07.620196 : Epoch 10, Batch     41, Loss  0.603142, Average Loss  0.602000, Time  0.221694
2021-09-21 21:25:09.081706 : Epoch 10, Batch     42, Loss  0.591902, Average Loss  0.601987, Time  0.221236
2021-09-21 21:25:10.547205 : Epoch 10, Batch     43, Loss  0.588125, Average Loss  0.601935, Time  0.221653
2021-09-21 21:25:12.026794 : Epoch 10, Batch     44, Loss  0.607188, Average Loss  0.601889, Time  0.221038
2021-09-21 21:25:13.483025 : Epoch 10, Batch     45, Loss  0.608588, Average Loss  0.601952, Time  0.221150
2021-09-21 21:25:14.950943 : Epoch 10, Batch     46, Loss  0.593186, Average Loss  0.601949, Time  0.220922
2021-09-21 21:25:16.414232 : Epoch 10, Batch     47, Loss  0.604001, Average Loss  0.601922, Time  0.221431
2021-09-21 21:25:17.879071 : Epoch 10, Batch     48, Loss  0.611268, Average Loss  0.601938, Time  0.221049
2021-09-21 21:25:19.372122 : Epoch 10, Batch     49, Loss  0.591734, Average Loss  0.601869, Time  0.244138
2021-09-21 21:25:20.850032 : Epoch 10, Batch     50, Loss  0.597296, Average Loss  0.601866, Time  0.221268
2021-09-21 21:25:22.329388 : Epoch 10, Batch     51, Loss  0.608667, Average Loss  0.601926, Time  0.221458
2021-09-21 21:25:23.811445 : Epoch 10, Batch     52, Loss  0.596799, Average Loss  0.601922, Time  0.221066
2021-09-21 21:25:25.265767 : Epoch 10, Batch     53, Loss  0.602351, Average Loss  0.601895, Time  0.221368
2021-09-21 21:25:26.728028 : Epoch 10, Batch     54, Loss  0.598460, Average Loss  0.601940, Time  0.221291
2021-09-21 21:25:28.216922 : Epoch 10, Batch     55, Loss  0.600840, Average Loss  0.601892, Time  0.221211
2021-09-21 21:25:29.677214 : Epoch 10, Batch     56, Loss  0.598946, Average Loss  0.601909, Time  0.220990
2021-09-21 21:25:31.139192 : Epoch 10, Batch     57, Loss  0.600321, Average Loss  0.601943, Time  0.221014
2021-09-21 21:25:32.617267 : Epoch 10, Batch     58, Loss  0.608537, Average Loss  0.601962, Time  0.221923
2021-09-21 21:25:34.095468 : Epoch 10, Batch     59, Loss  0.615604, Average Loss  0.602093, Time  0.221186
2021-09-21 21:25:35.554628 : Epoch 10, Batch     60, Loss  0.603135, Average Loss  0.602057, Time  0.221339
2021-09-21 21:25:37.040215 : Epoch 10, Batch     61, Loss  0.606955, Average Loss  0.602068, Time  0.222113
2021-09-21 21:25:38.497219 : Epoch 10, Batch     62, Loss  0.590424, Average Loss  0.602017, Time  0.220837
2021-09-21 21:25:39.972206 : Epoch 10, Batch     63, Loss  0.587869, Average Loss  0.601928, Time  0.233245
2021-09-21 21:25:41.431147 : Epoch 10, Batch     64, Loss  0.603724, Average Loss  0.601941, Time  0.221287
2021-09-21 21:25:42.911196 : Epoch 10, Batch     65, Loss  0.610456, Average Loss  0.601961, Time  0.221467
2021-09-21 21:25:44.371480 : Epoch 10, Batch     66, Loss  0.610024, Average Loss  0.601978, Time  0.221457
2021-09-21 21:25:45.835779 : Epoch 10, Batch     67, Loss  0.599302, Average Loss  0.601996, Time  0.221489
2021-09-21 21:25:47.292917 : Epoch 10, Batch     68, Loss  0.594414, Average Loss  0.601923, Time  0.221292
2021-09-21 21:25:48.748034 : Epoch 10, Batch     69, Loss  0.597314, Average Loss  0.601922, Time  0.221809
2021-09-21 21:25:50.216200 : Epoch 10, Batch     70, Loss  0.601103, Average Loss  0.601883, Time  0.229759
2021-09-21 21:25:51.675106 : Epoch 10, Batch     71, Loss  0.592438, Average Loss  0.601814, Time  0.221223
2021-09-21 21:25:53.140783 : Epoch 10, Batch     72, Loss  0.594390, Average Loss  0.601748, Time  0.221293
2021-09-21 21:25:54.605752 : Epoch 10, Batch     73, Loss  0.603911, Average Loss  0.601704, Time  0.221400
2021-09-21 21:25:56.064806 : Epoch 10, Batch     74, Loss  0.598455, Average Loss  0.601687, Time  0.221253
2021-09-21 21:25:57.539931 : Epoch 10, Batch     75, Loss  0.602070, Average Loss  0.601692, Time  0.221463
2021-09-21 21:25:59.003209 : Epoch 10, Batch     76, Loss  0.615308, Average Loss  0.601712, Time  0.221444
2021-09-21 21:26:00.463977 : Epoch 10, Batch     77, Loss  0.615444, Average Loss  0.601811, Time  0.221443
2021-09-21 21:26:01.933746 : Epoch 10, Batch     78, Loss  0.581450, Average Loss  0.601674, Time  0.221514
2021-09-21 21:26:03.393147 : Epoch 10, Batch     79, Loss  0.597287, Average Loss  0.601673, Time  0.221356
2021-09-21 21:26:04.878778 : Epoch 10, Batch     80, Loss  0.602418, Average Loss  0.601611, Time  0.221109
2021-09-21 21:26:06.353965 : Epoch 10, Batch     81, Loss  0.596407, Average Loss  0.601565, Time  0.221272
2021-09-21 21:26:07.808221 : Epoch 10, Batch     82, Loss  0.601299, Average Loss  0.601571, Time  0.221594
2021-09-21 21:26:09.290137 : Epoch 10, Batch     83, Loss  0.598828, Average Loss  0.601581, Time  0.221308
2021-09-21 21:26:10.777954 : Epoch 10, Batch     84, Loss  0.576342, Average Loss  0.601413, Time  0.221266
2021-09-21 21:26:12.246181 : Epoch 10, Batch     85, Loss  0.603565, Average Loss  0.601393, Time  0.220998
2021-09-21 21:26:13.729681 : Epoch 10, Batch     86, Loss  0.612536, Average Loss  0.601407, Time  0.221007
2021-09-21 21:26:15.191974 : Epoch 10, Batch     87, Loss  0.593666, Average Loss  0.601356, Time  0.221393
2021-09-21 21:26:19.026928 : Epoch 10, Batch     88, Loss  0.592817, Average Loss  0.601334, Time  0.251774
2021-09-21 21:26:20.484126 : Epoch 10, Batch     89, Loss  0.600251, Average Loss  0.601322, Time  0.225461
2021-09-21 21:26:21.968214 : Epoch 10, Batch     90, Loss  0.593139, Average Loss  0.601237, Time  0.221128
2021-09-21 21:26:23.452925 : Epoch 10, Batch     91, Loss  0.594701, Average Loss  0.601246, Time  0.221259
2021-09-21 21:26:24.931942 : Epoch 10, Batch     92, Loss  0.601297, Average Loss  0.601237, Time  0.220907
2021-09-21 21:26:26.380000 : Epoch 10, Batch     93, Loss  0.598702, Average Loss  0.601175, Time  0.221126
2021-09-21 21:26:27.868771 : Epoch 10, Batch     94, Loss  0.583204, Average Loss  0.601085, Time  0.221921
2021-09-21 21:26:29.334713 : Epoch 10, Batch     95, Loss  0.599610, Average Loss  0.601109, Time  0.221456
2021-09-21 21:26:30.800202 : Epoch 10, Batch     96, Loss  0.605874, Average Loss  0.601081, Time  0.221558
2021-09-21 21:26:32.281945 : Epoch 10, Batch     97, Loss  0.599119, Average Loss  0.601094, Time  0.221755
2021-09-21 21:26:33.777069 : Epoch 10, Batch     98, Loss  0.598407, Average Loss  0.601121, Time  0.221059
2021-09-21 21:26:35.246989 : Epoch 10, Batch     99, Loss  0.606471, Average Loss  0.601160, Time  0.225458
2021-09-21 21:26:36.704063 : Epoch 10, Batch    100, Loss  0.599825, Average Loss  0.601203, Time  0.221068
2021-09-21 21:26:38.154496 : Epoch 10, Batch    101, Loss  0.597894, Average Loss  0.601149, Time  0.221277
2021-09-21 21:26:39.632699 : Epoch 10, Batch    102, Loss  0.608975, Average Loss  0.601170, Time  0.221130
2021-09-21 21:26:41.096005 : Epoch 10, Batch    103, Loss  0.597396, Average Loss  0.601210, Time  0.221084
2021-09-21 21:26:42.578202 : Epoch 10, Batch    104, Loss  0.587351, Average Loss  0.601165, Time  0.221141
2021-09-21 21:26:44.028038 : Epoch 10, Batch    105, Loss  0.600407, Average Loss  0.601208, Time  0.221331
2021-09-21 21:26:45.506062 : Epoch 10, Batch    106, Loss  0.590337, Average Loss  0.601171, Time  0.242568
2021-09-21 21:26:46.958958 : Epoch 10, Batch    107, Loss  0.599593, Average Loss  0.601162, Time  0.221345
2021-09-21 21:26:48.415790 : Epoch 10, Batch    108, Loss  0.612150, Average Loss  0.601213, Time  0.221210
2021-09-21 21:26:49.866990 : Epoch 10, Batch    109, Loss  0.611585, Average Loss  0.601305, Time  0.221821
2021-09-21 21:26:51.331214 : Epoch 10, Batch    110, Loss  0.604877, Average Loss  0.601349, Time  0.221141
2021-09-21 21:26:52.815034 : Epoch 10, Batch    111, Loss  0.608609, Average Loss  0.601315, Time  0.221607
2021-09-21 21:26:54.267955 : Epoch 10, Batch    112, Loss  0.597706, Average Loss  0.601320, Time  0.221048
2021-09-21 21:26:55.723769 : Epoch 10, Batch    113, Loss  0.600262, Average Loss  0.601376, Time  0.221462
2021-09-21 21:26:57.200782 : Epoch 10, Batch    114, Loss  0.605546, Average Loss  0.601414, Time  0.221306
2021-09-21 21:26:58.675680 : Epoch 10, Batch    115, Loss  0.609397, Average Loss  0.601408, Time  0.221363
2021-09-21 21:27:00.138132 : Epoch 10, Batch    116, Loss  0.591994, Average Loss  0.601454, Time  0.220847
2021-09-21 21:27:01.602715 : Epoch 10, Batch    117, Loss  0.591455, Average Loss  0.601413, Time  0.221344
2021-09-21 21:27:56.606677 : CheckPoint: Validation Loss  0.00024971, Best Loss  0.00024129
2021-09-21 21:27:58.103107 : Epoch 10, Batch    118, Loss  0.606345, Average Loss  0.601455, Time  0.251556
2021-09-21 21:27:59.565116 : Epoch 10, Batch    119, Loss  0.608569, Average Loss  0.601543, Time  0.225682
2021-09-21 21:28:01.032715 : Epoch 10, Batch    120, Loss  0.593049, Average Loss  0.601541, Time  0.221081
2021-09-21 21:28:02.525915 : Epoch 10, Batch    121, Loss  0.602132, Average Loss  0.601509, Time  0.220987
2021-09-21 21:28:03.980980 : Epoch 10, Batch    122, Loss  0.605446, Average Loss  0.601542, Time  0.221077
2021-09-21 21:28:05.467985 : Epoch 10, Batch    123, Loss  0.607828, Average Loss  0.601559, Time  0.221475
2021-09-21 21:28:06.945033 : Epoch 10, Batch    124, Loss  0.598327, Average Loss  0.601518, Time  0.221376
2021-09-21 21:28:08.401983 : Epoch 10, Batch    125, Loss  0.605609, Average Loss  0.601545, Time  0.221110
2021-09-21 21:28:09.880206 : Epoch 10, Batch    126, Loss  0.601275, Average Loss  0.601548, Time  0.221048
2021-09-21 21:28:11.345238 : Epoch 10, Batch    127, Loss  0.606422, Average Loss  0.601553, Time  0.221794
2021-09-21 21:28:12.804131 : Epoch 10, Batch    128, Loss  0.601525, Average Loss  0.601536, Time  0.221855
2021-09-21 21:28:14.287917 : Epoch 10, Batch    129, Loss  0.599297, Average Loss  0.601485, Time  0.221295
2021-09-21 21:28:15.776948 : Epoch 10, Batch    130, Loss  0.614492, Average Loss  0.601525, Time  0.221660
2021-09-21 21:28:17.233190 : Epoch 10, Batch    131, Loss  0.607155, Average Loss  0.601553, Time  0.220984
2021-09-21 21:28:18.725197 : Epoch 10, Batch    132, Loss  0.580625, Average Loss  0.601457, Time  0.221495
2021-09-21 21:28:20.206059 : Epoch 10, Batch    133, Loss  0.590971, Average Loss  0.601454, Time  0.221257
2021-09-21 21:28:21.669077 : Epoch 10, Batch    134, Loss  0.601166, Average Loss  0.601494, Time  0.221263
2021-09-21 21:28:23.131936 : Epoch 10, Batch    135, Loss  0.605657, Average Loss  0.601512, Time  0.221147
2021-09-21 21:28:24.587586 : Epoch 10, Batch    136, Loss  0.601881, Average Loss  0.601494, Time  0.221234
2021-09-21 21:28:26.065201 : Epoch 10, Batch    137, Loss  0.600525, Average Loss  0.601483, Time  0.222114
2021-09-21 21:28:27.520026 : Epoch 10, Batch    138, Loss  0.599313, Average Loss  0.601427, Time  0.221234
2021-09-21 21:28:28.992193 : Epoch 10, Batch    139, Loss  0.604299, Average Loss  0.601510, Time  0.221259
2021-09-21 21:28:30.447055 : Epoch 10, Batch    140, Loss  0.602838, Average Loss  0.601492, Time  0.221148
2021-09-21 21:28:31.909005 : Epoch 10, Batch    141, Loss  0.606355, Average Loss  0.601577, Time  0.221521
2021-09-21 21:28:33.370077 : Epoch 10, Batch    142, Loss  0.613599, Average Loss  0.601658, Time  0.221154
2021-09-21 21:28:34.826192 : Epoch 10, Batch    143, Loss  0.603825, Average Loss  0.601664, Time  0.222133
2021-09-21 21:28:36.276759 : Epoch 10, Batch    144, Loss  0.586043, Average Loss  0.601625, Time  0.220979
2021-09-21 21:28:37.730075 : Epoch 10, Batch    145, Loss  0.600015, Average Loss  0.601610, Time  0.221288
2021-09-21 21:28:39.199965 : Epoch 10, Batch    146, Loss  0.595465, Average Loss  0.601600, Time  0.221434
2021-09-21 21:28:40.690924 : Epoch 10, Batch    147, Loss  0.598612, Average Loss  0.601602, Time  0.221517
2021-09-21 21:28:42.147754 : Epoch 10, Batch    148, Loss  0.601173, Average Loss  0.601613, Time  0.221630
2021-09-21 21:28:43.603924 : Epoch 10, Batch    149, Loss  0.605368, Average Loss  0.601696, Time  0.221341
2021-09-21 21:28:45.068930 : Epoch 10, Batch    150, Loss  0.605424, Average Loss  0.601714, Time  0.221576
2021-09-21 21:28:46.555035 : Epoch 10, Batch    151, Loss  0.594937, Average Loss  0.601676, Time  0.221390
2021-09-21 21:28:48.017946 : Epoch 10, Batch    152, Loss  0.599764, Average Loss  0.601652, Time  0.220943
2021-09-21 21:28:49.491767 : Epoch 10, Batch    153, Loss  0.599224, Average Loss  0.601568, Time  0.221227
2021-09-21 21:28:50.950043 : Epoch 10, Batch    154, Loss  0.594975, Average Loss  0.601492, Time  0.221351
2021-09-21 21:28:52.401948 : Epoch 10, Batch    155, Loss  0.601529, Average Loss  0.601485, Time  0.221902
2021-09-21 21:28:53.862139 : Epoch 10, Batch    156, Loss  0.610130, Average Loss  0.601522, Time  0.221400
2021-09-21 21:28:55.341734 : Epoch 10, Batch    157, Loss  0.596487, Average Loss  0.601515, Time  0.222169
2021-09-21 21:28:56.806205 : Epoch 10, Batch    158, Loss  0.593045, Average Loss  0.601474, Time  0.221066
2021-09-21 21:28:58.264045 : Epoch 10, Batch    159, Loss  0.608588, Average Loss  0.601508, Time  0.221257
2021-09-21 21:28:59.752208 : Epoch 10, Batch    160, Loss  0.595996, Average Loss  0.601511, Time  0.220875
2021-09-21 21:29:01.255740 : Epoch 10, Batch    161, Loss  0.615132, Average Loss  0.601555, Time  0.221306
2021-09-21 21:29:02.717382 : Epoch 10, Batch    162, Loss  0.597589, Average Loss  0.601480, Time  0.221476
2021-09-21 21:29:04.170965 : Epoch 10, Batch    163, Loss  0.600989, Average Loss  0.601486, Time  0.221369
2021-09-21 21:29:05.656046 : Epoch 10, Batch    164, Loss  0.609824, Average Loss  0.601517, Time  0.221501
2021-09-21 21:29:07.111805 : Epoch 10, Batch    165, Loss  0.615320, Average Loss  0.601572, Time  0.221928
2021-09-21 21:29:08.567971 : Epoch 10, Batch    166, Loss  0.598368, Average Loss  0.601520, Time  0.221229
2021-09-21 21:29:10.038110 : Epoch 10, Batch    167, Loss  0.592699, Average Loss  0.601426, Time  0.221556
2021-09-21 21:29:11.489109 : Epoch 10, Batch    168, Loss  0.593019, Average Loss  0.601375, Time  0.221406
2021-09-21 21:29:12.965949 : Epoch 10, Batch    169, Loss  0.610707, Average Loss  0.601392, Time  0.240431
2021-09-21 21:29:14.424053 : Epoch 10, Batch    170, Loss  0.596694, Average Loss  0.601304, Time  0.221272
2021-09-21 21:29:15.884056 : Epoch 10, Batch    171, Loss  0.593361, Average Loss  0.601303, Time  0.222245
2021-09-21 21:29:17.358034 : Epoch 10, Batch    172, Loss  0.604506, Average Loss  0.601301, Time  0.221316
2021-09-21 21:29:18.818932 : Epoch 10, Batch    173, Loss  0.597243, Average Loss  0.601265, Time  0.221431
2021-09-21 21:29:20.282686 : Epoch 10, Batch    174, Loss  0.598554, Average Loss  0.601255, Time  0.221367
2021-09-21 21:29:21.735931 : Epoch 10, Batch    175, Loss  0.612376, Average Loss  0.601307, Time  0.221110
2021-09-21 21:29:23.206843 : Epoch 10, Batch    176, Loss  0.590508, Average Loss  0.601206, Time  0.241617
2021-09-21 21:29:24.671930 : Epoch 10, Batch    177, Loss  0.587026, Average Loss  0.601137, Time  0.221560
2021-09-21 21:29:26.118969 : Epoch 10, Batch    178, Loss  0.600493, Average Loss  0.601100, Time  0.221013
2021-09-21 21:29:27.594705 : Epoch 10, Batch    179, Loss  0.599715, Average Loss  0.601070, Time  0.221087
2021-09-21 21:29:29.041955 : Epoch 10, Batch    180, Loss  0.607471, Average Loss  0.601108, Time  0.221113
2021-09-21 21:29:30.515692 : Epoch 10, Batch    181, Loss  0.603362, Average Loss  0.601186, Time  0.221120
2021-09-21 21:29:31.994333 : Epoch 10, Batch    182, Loss  0.610306, Average Loss  0.601249, Time  0.221122
2021-09-21 21:29:33.444960 : Epoch 10, Batch    183, Loss  0.611207, Average Loss  0.601323, Time  0.221405
2021-09-21 21:29:34.900206 : Epoch 10, Batch    184, Loss  0.591110, Average Loss  0.601257, Time  0.221190
2021-09-21 21:29:36.381941 : Epoch 10, Batch    185, Loss  0.609341, Average Loss  0.601327, Time  0.221783
2021-09-21 21:29:37.873688 : Epoch 10, Batch    186, Loss  0.611245, Average Loss  0.601394, Time  0.221476
2021-09-21 21:29:39.339929 : Epoch 10, Batch    187, Loss  0.596367, Average Loss  0.601371, Time  0.221943
2021-09-21 21:29:43.128931 : Epoch 10, Batch    188, Loss  0.603067, Average Loss  0.601350, Time  0.259634
2021-09-21 21:29:44.611855 : Epoch 10, Batch    189, Loss  0.594820, Average Loss  0.601270, Time  0.246598
2021-09-21 21:29:46.072181 : Epoch 10, Batch    190, Loss  0.606511, Average Loss  0.601290, Time  0.225423
2021-09-21 21:29:47.522922 : Epoch 10, Batch    191, Loss  0.599769, Average Loss  0.601288, Time  0.221200
2021-09-21 21:29:48.994888 : Epoch 10, Batch    192, Loss  0.591605, Average Loss  0.601266, Time  0.221198
2021-09-21 21:29:50.448175 : Epoch 10, Batch    193, Loss  0.604909, Average Loss  0.601267, Time  0.221201
2021-09-21 21:29:51.901004 : Epoch 10, Batch    194, Loss  0.596921, Average Loss  0.601196, Time  0.221058
2021-09-21 21:29:53.357086 : Epoch 10, Batch    195, Loss  0.612419, Average Loss  0.601346, Time  0.221119
2021-09-21 21:29:54.806189 : Epoch 10, Batch    196, Loss  0.607920, Average Loss  0.601362, Time  0.221169
2021-09-21 21:29:56.280946 : Epoch 10, Batch    197, Loss  0.605764, Average Loss  0.601379, Time  0.221154
2021-09-21 21:29:57.740826 : Epoch 10, Batch    198, Loss  0.591261, Average Loss  0.601260, Time  0.221025
2021-09-21 21:29:59.219165 : Epoch 10, Batch    199, Loss  0.594320, Average Loss  0.601181, Time  0.221275
2021-09-21 21:30:00.708930 : Epoch 10, Batch    200, Loss  0.583734, Average Loss  0.601079, Time  0.221186
2021-09-21 21:30:02.211535 : Epoch 10, Batch    201, Loss  0.603894, Average Loss  0.601095, Time  0.260054
2021-09-21 21:30:03.681717 : Epoch 10, Batch    202, Loss  0.597263, Average Loss  0.601047, Time  0.221245
2021-09-21 21:30:05.173721 : Epoch 10, Batch    203, Loss  0.590156, Average Loss  0.600953, Time  0.225647
2021-09-21 21:30:06.653748 : Epoch 10, Batch    204, Loss  0.599140, Average Loss  0.601016, Time  0.221982
2021-09-21 21:30:08.136755 : Epoch 10, Batch    205, Loss  0.606832, Average Loss  0.601073, Time  0.221397
2021-09-21 21:30:09.601213 : Epoch 10, Batch    206, Loss  0.602266, Average Loss  0.601071, Time  0.221574
2021-09-21 21:30:11.078408 : Epoch 10, Batch    207, Loss  0.598166, Average Loss  0.601068, Time  0.221403
2021-09-21 21:30:12.539028 : Epoch 10, Batch    208, Loss  0.604143, Average Loss  0.601058, Time  0.221763
2021-09-21 21:30:13.999703 : Epoch 10, Batch    209, Loss  0.604537, Average Loss  0.601077, Time  0.221758
2021-09-21 21:30:15.484718 : Epoch 10, Batch    210, Loss  0.604167, Average Loss  0.601115, Time  0.221450
2021-09-21 21:30:16.951630 : Epoch 10, Batch    211, Loss  0.602686, Average Loss  0.601121, Time  0.222248
2021-09-21 21:30:18.412957 : Epoch 10, Batch    212, Loss  0.588541, Average Loss  0.601041, Time  0.221428
2021-09-21 21:30:19.882397 : Epoch 10, Batch    213, Loss  0.612416, Average Loss  0.601083, Time  0.224561
2021-09-21 21:30:21.365364 : Epoch 10, Batch    214, Loss  0.596013, Average Loss  0.601056, Time  0.223284
2021-09-21 21:30:22.870325 : Epoch 10, Batch    215, Loss  0.601444, Average Loss  0.601032, Time  0.225100
2021-09-21 21:30:24.351205 : Epoch 10, Batch    216, Loss  0.608053, Average Loss  0.601027, Time  0.222451
2021-09-21 21:30:25.822393 : Epoch 10, Batch    217, Loss  0.613827, Average Loss  0.601074, Time  0.222449
2021-09-21 21:31:20.736679 : CheckPoint: Validation Loss  0.00025042, Best Loss  0.00024129
2021-09-21 21:31:22.201200 : Epoch 10, Batch    218, Loss  0.599807, Average Loss  0.601033, Time  0.222016
2021-09-21 21:31:23.652728 : Epoch 10, Batch    219, Loss  0.599370, Average Loss  0.600989, Time  0.221516
2021-09-21 21:31:25.113813 : Epoch 10, Batch    220, Loss  0.597540, Average Loss  0.600953, Time  0.221182
2021-09-21 21:31:26.605729 : Epoch 10, Batch    221, Loss  0.601253, Average Loss  0.600944, Time  0.221423
2021-09-21 21:31:28.072884 : Epoch 10, Batch    222, Loss  0.587602, Average Loss  0.600830, Time  0.222267
2021-09-21 21:31:29.538937 : Epoch 10, Batch    223, Loss  0.600709, Average Loss  0.600786, Time  0.221427
2021-09-21 21:31:31.032612 : Epoch 10, Batch    224, Loss  0.593282, Average Loss  0.600734, Time  0.221460
2021-09-21 21:31:32.496090 : Epoch 10, Batch    225, Loss  0.593971, Average Loss  0.600713, Time  0.221674
2021-09-21 21:31:33.962116 : Epoch 10, Batch    226, Loss  0.606479, Average Loss  0.600739, Time  0.221358
2021-09-21 21:31:35.420714 : Epoch 10, Batch    227, Loss  0.598044, Average Loss  0.600730, Time  0.221515
2021-09-21 21:31:36.891713 : Epoch 10, Batch    228, Loss  0.603032, Average Loss  0.600747, Time  0.221646
2021-09-21 21:31:38.371937 : Epoch 10, Batch    229, Loss  0.605913, Average Loss  0.600751, Time  0.221436
2021-09-21 21:31:39.834892 : Epoch 10, Batch    230, Loss  0.609183, Average Loss  0.600798, Time  0.221303
2021-09-21 21:31:41.300677 : Epoch 10, Batch    231, Loss  0.612263, Average Loss  0.600829, Time  0.221799
2021-09-21 21:31:42.760061 : Epoch 10, Batch    232, Loss  0.599148, Average Loss  0.600818, Time  0.221349
2021-09-21 21:31:44.216168 : Epoch 10, Batch    233, Loss  0.596325, Average Loss  0.600770, Time  0.221385
2021-09-21 21:31:45.681791 : Epoch 10, Batch    234, Loss  0.601392, Average Loss  0.600715, Time  0.221840
2021-09-21 21:31:47.150812 : Epoch 10, Batch    235, Loss  0.596221, Average Loss  0.600716, Time  0.221429
2021-09-21 21:31:48.611380 : Epoch 10, Batch    236, Loss  0.592188, Average Loss  0.600697, Time  0.221356
2021-09-21 21:31:50.073947 : Epoch 10, Batch    237, Loss  0.592085, Average Loss  0.600644, Time  0.221833
2021-09-21 21:31:51.536725 : Epoch 10, Batch    238, Loss  0.609411, Average Loss  0.600686, Time  0.221709
2021-09-21 21:31:52.992971 : Epoch 10, Batch    239, Loss  0.603519, Average Loss  0.600727, Time  0.221183
2021-09-21 21:31:54.460763 : Epoch 10, Batch    240, Loss  0.609231, Average Loss  0.600754, Time  0.221470
2021-09-21 21:31:55.913917 : Epoch 10, Batch    241, Loss  0.590704, Average Loss  0.600692, Time  0.221096
2021-09-21 21:31:57.364926 : Epoch 10, Batch    242, Loss  0.600120, Average Loss  0.600733, Time  0.221262
2021-09-21 21:31:58.819705 : Epoch 10, Batch    243, Loss  0.597619, Average Loss  0.600780, Time  0.221302
2021-09-21 21:32:00.282649 : Epoch 10, Batch    244, Loss  0.612926, Average Loss  0.600809, Time  0.221164
2021-09-21 21:32:01.746783 : Epoch 10, Batch    245, Loss  0.606467, Average Loss  0.600798, Time  0.221500
2021-09-21 21:32:03.202897 : Epoch 10, Batch    246, Loss  0.605614, Average Loss  0.600861, Time  0.221286
2021-09-21 21:32:04.659959 : Epoch 10, Batch    247, Loss  0.606653, Average Loss  0.600874, Time  0.222436
2021-09-21 21:32:06.125688 : Epoch 10, Batch    248, Loss  0.595273, Average Loss  0.600794, Time  0.221182
2021-09-21 21:32:07.598926 : Epoch 10, Batch    249, Loss  0.583533, Average Loss  0.600753, Time  0.221259
2021-09-21 21:32:09.049166 : Epoch 10, Batch    250, Loss  0.616330, Average Loss  0.600848, Time  0.221052
2021-09-21 21:32:10.505929 : Epoch 10, Batch    251, Loss  0.596323, Average Loss  0.600786, Time  0.221707
2021-09-21 21:32:11.959874 : Epoch 10, Batch    252, Loss  0.597989, Average Loss  0.600792, Time  0.220840
2021-09-21 21:32:13.416922 : Epoch 10, Batch    253, Loss  0.615571, Average Loss  0.600858, Time  0.221253
2021-09-21 21:32:14.889992 : Epoch 10, Batch    254, Loss  0.600033, Average Loss  0.600866, Time  0.221230
2021-09-21 21:32:16.375752 : Epoch 10, Batch    255, Loss  0.605485, Average Loss  0.600889, Time  0.221462
2021-09-21 21:32:17.867937 : Epoch 10, Batch    256, Loss  0.606488, Average Loss  0.600927, Time  0.221021
2021-09-21 21:32:19.326929 : Epoch 10, Batch    257, Loss  0.597690, Average Loss  0.600914, Time  0.221439
2021-09-21 21:32:20.785806 : Epoch 10, Batch    258, Loss  0.607499, Average Loss  0.600909, Time  0.221629
2021-09-21 21:32:22.266870 : Epoch 10, Batch    259, Loss  0.606413, Average Loss  0.600863, Time  0.221509
2021-09-21 21:32:23.745923 : Epoch 10, Batch    260, Loss  0.596447, Average Loss  0.600829, Time  0.220959
2021-09-21 21:32:25.205849 : Epoch 10, Batch    261, Loss  0.607508, Average Loss  0.600832, Time  0.221583
2021-09-21 21:32:26.688745 : Epoch 10, Batch    262, Loss  0.614068, Average Loss  0.600950, Time  0.221118
2021-09-21 21:32:28.147749 : Epoch 10, Batch    263, Loss  0.590183, Average Loss  0.600962, Time  0.221145
2021-09-21 21:32:29.601680 : Epoch 10, Batch    264, Loss  0.602168, Average Loss  0.600954, Time  0.221466
2021-09-21 21:32:31.056899 : Epoch 10, Batch    265, Loss  0.603095, Average Loss  0.600917, Time  0.224890
2021-09-21 21:32:32.508885 : Epoch 10, Batch    266, Loss  0.605138, Average Loss  0.600893, Time  0.221090
2021-09-21 21:32:33.998939 : Epoch 10, Batch    267, Loss  0.605377, Average Loss  0.600923, Time  0.221396
2021-09-21 21:32:35.458693 : Epoch 10, Batch    268, Loss  0.598744, Average Loss  0.600945, Time  0.221762
2021-09-21 21:32:36.923802 : Epoch 10, Batch    269, Loss  0.589632, Average Loss  0.600907, Time  0.221766
2021-09-21 21:32:38.386750 : Epoch 10, Batch    270, Loss  0.597388, Average Loss  0.600888, Time  0.221278
2021-09-21 21:32:39.845125 : Epoch 10, Batch    271, Loss  0.604948, Average Loss  0.600951, Time  0.222007
2021-09-21 21:32:41.321999 : Epoch 10, Batch    272, Loss  0.596897, Average Loss  0.600963, Time  0.222859
2021-09-21 21:32:42.792083 : Epoch 10, Batch    273, Loss  0.592457, Average Loss  0.600906, Time  0.222651
2021-09-21 21:32:44.252200 : Epoch 10, Batch    274, Loss  0.589829, Average Loss  0.600863, Time  0.221907
2021-09-21 21:32:45.713935 : Epoch 10, Batch    275, Loss  0.607081, Average Loss  0.600888, Time  0.221550
2021-09-21 21:32:47.177798 : Epoch 10, Batch    276, Loss  0.605880, Average Loss  0.600841, Time  0.221332
2021-09-21 21:32:48.635755 : Epoch 10, Batch    277, Loss  0.603215, Average Loss  0.600779, Time  0.222914
2021-09-21 21:32:50.111810 : Epoch 10, Batch    278, Loss  0.598855, Average Loss  0.600867, Time  0.221369
2021-09-21 21:32:51.577932 : Epoch 10, Batch    279, Loss  0.599491, Average Loss  0.600878, Time  0.221474
2021-09-21 21:32:53.064906 : Epoch 10, Batch    280, Loss  0.602239, Average Loss  0.600877, Time  0.222727
2021-09-21 21:32:54.544106 : Epoch 10, Batch    281, Loss  0.608209, Average Loss  0.600936, Time  0.223199
2021-09-21 21:32:56.010019 : Epoch 10, Batch    282, Loss  0.593943, Average Loss  0.600899, Time  0.221050
2021-09-21 21:32:57.471920 : Epoch 10, Batch    283, Loss  0.603114, Average Loss  0.600920, Time  0.221322
2021-09-21 21:32:58.914926 : Epoch 10, Batch    284, Loss  0.610695, Average Loss  0.601092, Time  0.221043
2021-09-21 21:33:00.382926 : Epoch 10, Batch    285, Loss  0.591544, Average Loss  0.601032, Time  0.221390
2021-09-21 21:33:01.835882 : Epoch 10, Batch    286, Loss  0.603504, Average Loss  0.600987, Time  0.221350
2021-09-21 21:33:03.385914 : Epoch 10, Batch    287, Loss  0.610705, Average Loss  0.601072, Time  0.221491
2021-09-21 21:33:07.201812 : Epoch 10, Batch    288, Loss  0.620896, Average Loss  0.601212, Time  0.257688
2021-09-21 21:33:08.679923 : Epoch 10, Batch    289, Loss  0.608946, Average Loss  0.601256, Time  0.242523
2021-09-21 21:33:10.162947 : Epoch 10, Batch    290, Loss  0.603758, Average Loss  0.601309, Time  0.228283
2021-09-21 21:33:11.639942 : Epoch 10, Batch    291, Loss  0.593690, Average Loss  0.601304, Time  0.221366
2021-09-21 21:33:13.093930 : Epoch 10, Batch    292, Loss  0.595303, Average Loss  0.601274, Time  0.221086
2021-09-21 21:33:14.542781 : Epoch 10, Batch    293, Loss  0.604419, Average Loss  0.601303, Time  0.221414
2021-09-21 21:33:15.989905 : Epoch 10, Batch    294, Loss  0.596228, Average Loss  0.601368, Time  0.220931
2021-09-21 21:33:17.464163 : Epoch 10, Batch    295, Loss  0.613419, Average Loss  0.601437, Time  0.222284
2021-09-21 21:33:18.942706 : Epoch 10, Batch    296, Loss  0.608333, Average Loss  0.601449, Time  0.221382
2021-09-21 21:33:20.392804 : Epoch 10, Batch    297, Loss  0.607903, Average Loss  0.601493, Time  0.222087
2021-09-21 21:33:21.843929 : Epoch 10, Batch    298, Loss  0.597017, Average Loss  0.601486, Time  0.220926
2021-09-21 21:33:23.324210 : Epoch 10, Batch    299, Loss  0.599064, Average Loss  0.601449, Time  0.221901
2021-09-21 21:33:24.780846 : Epoch 10, Batch    300, Loss  0.611129, Average Loss  0.601505, Time  0.221216
2021-09-21 21:33:26.231925 : Epoch 10, Batch    301, Loss  0.588588, Average Loss  0.601459, Time  0.221099
2021-09-21 21:33:27.692696 : Epoch 10, Batch    302, Loss  0.593357, Average Loss  0.601381, Time  0.221988
2021-09-21 21:33:29.151741 : Epoch 10, Batch    303, Loss  0.609667, Average Loss  0.601442, Time  0.221281
2021-09-21 21:33:30.607005 : Epoch 10, Batch    304, Loss  0.606684, Average Loss  0.601539, Time  0.220954
2021-09-21 21:33:32.090696 : Epoch 10, Batch    305, Loss  0.598028, Average Loss  0.601527, Time  0.221499
2021-09-21 21:33:33.570186 : Epoch 10, Batch    306, Loss  0.606707, Average Loss  0.601609, Time  0.220859
2021-09-21 21:33:35.026933 : Epoch 10, Batch    307, Loss  0.600358, Average Loss  0.601613, Time  0.220881
2021-09-21 21:33:36.490980 : Epoch 10, Batch    308, Loss  0.612053, Average Loss  0.601612, Time  0.221622
2021-09-21 21:33:37.973893 : Epoch 10, Batch    309, Loss  0.609170, Average Loss  0.601600, Time  0.221260
2021-09-21 21:33:39.439893 : Epoch 10, Batch    310, Loss  0.594127, Average Loss  0.601546, Time  0.221705
2021-09-21 21:33:40.900762 : Epoch 10, Batch    311, Loss  0.602104, Average Loss  0.601514, Time  0.221454
2021-09-21 21:33:42.379936 : Epoch 10, Batch    312, Loss  0.598506, Average Loss  0.601518, Time  0.221005
2021-09-21 21:33:43.830119 : Epoch 10, Batch    313, Loss  0.607216, Average Loss  0.601553, Time  0.221212
2021-09-21 21:33:45.294950 : Epoch 10, Batch    314, Loss  0.602537, Average Loss  0.601538, Time  0.220891
2021-09-21 21:33:46.752715 : Epoch 10, Batch    315, Loss  0.598519, Average Loss  0.601483, Time  0.221306
2021-09-21 21:33:48.213052 : Epoch 10, Batch    316, Loss  0.589084, Average Loss  0.601469, Time  0.221349
2021-09-21 21:33:49.691693 : Epoch 10, Batch    317, Loss  0.599271, Average Loss  0.601508, Time  0.221318
2021-09-21 21:34:44.563681 : CheckPoint: Validation Loss  0.00026067, Best Loss  0.00024129
2021-09-21 21:34:46.038684 : Epoch 10, Batch    318, Loss  0.577914, Average Loss  0.601365, Time  0.221634
2021-09-21 21:34:47.530716 : Epoch 10, Batch    319, Loss  0.605100, Average Loss  0.601348, Time  0.221268
2021-09-21 21:34:49.002909 : Epoch 10, Batch    320, Loss  0.604073, Average Loss  0.601403, Time  0.221330
2021-09-21 21:34:50.458953 : Epoch 10, Batch    321, Loss  0.594777, Average Loss  0.601366, Time  0.221379
2021-09-21 21:34:51.945950 : Epoch 10, Batch    322, Loss  0.604396, Average Loss  0.601361, Time  0.221275
2021-09-21 21:34:53.434995 : Epoch 10, Batch    323, Loss  0.609938, Average Loss  0.601372, Time  0.221534
2021-09-21 21:34:54.903694 : Epoch 10, Batch    324, Loss  0.589985, Average Loss  0.601330, Time  0.221389
2021-09-21 21:34:56.379060 : Epoch 10, Batch    325, Loss  0.590524, Average Loss  0.601255, Time  0.221311
2021-09-21 21:34:57.869725 : Epoch 10, Batch    326, Loss  0.596226, Average Loss  0.601229, Time  0.221385
2021-09-21 21:34:59.341220 : Epoch 10, Batch    327, Loss  0.598723, Average Loss  0.601191, Time  0.221621
2021-09-21 21:35:00.805508 : Epoch 10, Batch    328, Loss  0.603197, Average Loss  0.601199, Time  0.221314
2021-09-21 21:35:02.281692 : Epoch 10, Batch    329, Loss  0.605228, Average Loss  0.601229, Time  0.222650
2021-09-21 21:35:03.749931 : Epoch 10, Batch    330, Loss  0.594304, Average Loss  0.601128, Time  0.221347
2021-09-21 21:35:05.220725 : Epoch 10, Batch    331, Loss  0.608574, Average Loss  0.601135, Time  0.221619
2021-09-21 21:35:06.687682 : Epoch 10, Batch    332, Loss  0.601648, Average Loss  0.601240, Time  0.221503
2021-09-21 21:35:08.145962 : Epoch 10, Batch    333, Loss  0.601062, Average Loss  0.601291, Time  0.221293
2021-09-21 21:35:09.626967 : Epoch 10, Batch    334, Loss  0.599791, Average Loss  0.601284, Time  0.221053
2021-09-21 21:35:11.083866 : Epoch 10, Batch    335, Loss  0.601852, Average Loss  0.601265, Time  0.220987
2021-09-21 21:35:12.572912 : Epoch 10, Batch    336, Loss  0.603418, Average Loss  0.601272, Time  0.221548
2021-09-21 21:35:14.031787 : Epoch 10, Batch    337, Loss  0.600191, Average Loss  0.601271, Time  0.221292
2021-09-21 21:35:15.496207 : Epoch 10, Batch    338, Loss  0.589202, Average Loss  0.601220, Time  0.221151
2021-09-21 21:35:16.963991 : Epoch 10, Batch    339, Loss  0.609680, Average Loss  0.601247, Time  0.221178
2021-09-21 21:35:18.426952 : Epoch 10, Batch    340, Loss  0.598253, Average Loss  0.601224, Time  0.220910
2021-09-21 21:35:19.914821 : Epoch 10, Batch    341, Loss  0.614190, Average Loss  0.601263, Time  0.221873
2021-09-21 21:35:21.380733 : Epoch 10, Batch    342, Loss  0.592776, Average Loss  0.601159, Time  0.220888
2021-09-21 21:35:22.837989 : Epoch 10, Batch    343, Loss  0.593125, Average Loss  0.601106, Time  0.221089
2021-09-21 21:35:24.326961 : Epoch 10, Batch    344, Loss  0.607056, Average Loss  0.601211, Time  0.221954
2021-09-21 21:35:25.790915 : Epoch 10, Batch    345, Loss  0.598142, Average Loss  0.601201, Time  0.221205
2021-09-21 21:35:27.257041 : Epoch 10, Batch    346, Loss  0.605308, Average Loss  0.601251, Time  0.221201
2021-09-21 21:35:28.745010 : Epoch 10, Batch    347, Loss  0.598072, Average Loss  0.601248, Time  0.221372
2021-09-21 21:35:30.210176 : Epoch 10, Batch    348, Loss  0.605016, Average Loss  0.601267, Time  0.221535
2021-09-21 21:35:31.667751 : Epoch 10, Batch    349, Loss  0.584668, Average Loss  0.601164, Time  0.221108
2021-09-21 21:35:33.125098 : Epoch 10, Batch    350, Loss  0.601922, Average Loss  0.601146, Time  0.221346
2021-09-21 21:35:33.245527 : Epoch 10, Batch    351, Loss  0.655880, Average Loss  0.601451, Time  0.085727
2021-09-21 21:35:34.708195 : Epoch 10, Batch    352, Loss  0.604955, Average Loss  0.601477, Time  0.220818
2021-09-21 21:35:36.170731 : Epoch 10, Batch    353, Loss  0.604623, Average Loss  0.601504, Time  0.221783
2021-09-21 21:35:37.631939 : Epoch 10, Batch    354, Loss  0.603051, Average Loss  0.601544, Time  0.221348
2021-09-21 21:35:39.098758 : Epoch 10, Batch    355, Loss  0.604767, Average Loss  0.601560, Time  0.221391
2021-09-21 21:35:40.556988 : Epoch 10, Batch    356, Loss  0.610621, Average Loss  0.601563, Time  0.221225
2021-09-21 21:35:42.012782 : Epoch 10, Batch    357, Loss  0.597653, Average Loss  0.601569, Time  0.222083
2021-09-21 21:35:43.472029 : Epoch 10, Batch    358, Loss  0.604287, Average Loss  0.601625, Time  0.220665
2021-09-21 21:35:44.960187 : Epoch 10, Batch    359, Loss  0.609043, Average Loss  0.601627, Time  0.221217
2021-09-21 21:35:46.442921 : Epoch 10, Batch    360, Loss  0.614738, Average Loss  0.601721, Time  0.220926
2021-09-21 21:35:47.893915 : Epoch 10, Batch    361, Loss  0.605234, Average Loss  0.601671, Time  0.220936
2021-09-21 21:35:49.356206 : Epoch 10, Batch    362, Loss  0.611232, Average Loss  0.601740, Time  0.221925
2021-09-21 21:35:50.840186 : Epoch 10, Batch    363, Loss  0.609835, Average Loss  0.601784, Time  0.221609
2021-09-21 21:35:52.300911 : Epoch 10, Batch    364, Loss  0.597182, Average Loss  0.601721, Time  0.221122
2021-09-21 21:35:53.753194 : Epoch 10, Batch    365, Loss  0.601579, Average Loss  0.601652, Time  0.221166
2021-09-21 21:35:55.229082 : Epoch 10, Batch    366, Loss  0.607615, Average Loss  0.601698, Time  0.221180
2021-09-21 21:35:56.683774 : Epoch 10, Batch    367, Loss  0.609453, Average Loss  0.601782, Time  0.221974
2021-09-21 21:35:58.148195 : Epoch 10, Batch    368, Loss  0.607277, Average Loss  0.601853, Time  0.221367
2021-09-21 21:35:59.602967 : Epoch 10, Batch    369, Loss  0.611393, Average Loss  0.601857, Time  0.221377
2021-09-21 21:36:01.085935 : Epoch 10, Batch    370, Loss  0.612377, Average Loss  0.601935, Time  0.221108
2021-09-21 21:36:02.565714 : Epoch 10, Batch    371, Loss  0.617112, Average Loss  0.602054, Time  0.239896
2021-09-21 21:36:04.016996 : Epoch 10, Batch    372, Loss  0.598067, Average Loss  0.602022, Time  0.220953
2021-09-21 21:36:05.498254 : Epoch 10, Batch    373, Loss  0.597107, Average Loss  0.602021, Time  0.221371
2021-09-21 21:36:06.975669 : Epoch 10, Batch    374, Loss  0.605102, Average Loss  0.602054, Time  0.221182
2021-09-21 21:36:08.438173 : Epoch 10, Batch    375, Loss  0.593901, Average Loss  0.601961, Time  0.220862
2021-09-21 21:36:09.928996 : Epoch 10, Batch    376, Loss  0.604544, Average Loss  0.602031, Time  0.221500
2021-09-21 21:36:11.416985 : Epoch 10, Batch    377, Loss  0.601053, Average Loss  0.602102, Time  0.221463
2021-09-21 21:36:12.891960 : Epoch 10, Batch    378, Loss  0.599660, Average Loss  0.602097, Time  0.221230
2021-09-21 21:36:14.347938 : Epoch 10, Batch    379, Loss  0.597053, Average Loss  0.602084, Time  0.222125
2021-09-21 21:36:15.835758 : Epoch 10, Batch    380, Loss  0.587779, Average Loss  0.601986, Time  0.221970
2021-09-21 21:36:17.308844 : Epoch 10, Batch    381, Loss  0.608410, Average Loss  0.602011, Time  0.221819
2021-09-21 21:36:18.771997 : Epoch 10, Batch    382, Loss  0.616702, Average Loss  0.602043, Time  0.220947
2021-09-21 21:36:20.238190 : Epoch 10, Batch    383, Loss  0.605805, Average Loss  0.602016, Time  0.221803
2021-09-21 21:36:21.719096 : Epoch 10, Batch    384, Loss  0.610695, Average Loss  0.602114, Time  0.221056
2021-09-21 21:36:23.206720 : Epoch 10, Batch    385, Loss  0.607882, Average Loss  0.602107, Time  0.221248
2021-09-21 21:36:24.658795 : Epoch 10, Batch    386, Loss  0.594865, Average Loss  0.602025, Time  0.220929
2021-09-21 21:36:26.141737 : Epoch 10, Batch    387, Loss  0.605468, Average Loss  0.602070, Time  0.221194
2021-09-21 21:36:27.601925 : Epoch 10, Batch    388, Loss  0.599905, Average Loss  0.602054, Time  0.221249
2021-09-21 21:36:31.383945 : Epoch 10, Batch    389, Loss  0.599997, Average Loss  0.602080, Time  0.254353
2021-09-21 21:36:32.848698 : Epoch 10, Batch    390, Loss  0.601470, Average Loss  0.602055, Time  0.226466
2021-09-21 21:36:34.300778 : Epoch 10, Batch    391, Loss  0.603152, Average Loss  0.602072, Time  0.221473
2021-09-21 21:36:35.752644 : Epoch 10, Batch    392, Loss  0.604424, Average Loss  0.602136, Time  0.221456
2021-09-21 21:36:37.210714 : Epoch 10, Batch    393, Loss  0.591431, Average Loss  0.602069, Time  0.223202
2021-09-21 21:36:38.660746 : Epoch 10, Batch    394, Loss  0.596669, Average Loss  0.602067, Time  0.221286
2021-09-21 21:36:40.110833 : Epoch 10, Batch    395, Loss  0.620957, Average Loss  0.602110, Time  0.221788
2021-09-21 21:36:41.568644 : Epoch 10, Batch    396, Loss  0.597256, Average Loss  0.602057, Time  0.221415
2021-09-21 21:36:43.034706 : Epoch 10, Batch    397, Loss  0.597289, Average Loss  0.602014, Time  0.223138
2021-09-21 21:36:44.504691 : Epoch 10, Batch    398, Loss  0.615228, Average Loss  0.602134, Time  0.225349
2021-09-21 21:36:45.965678 : Epoch 10, Batch    399, Loss  0.600446, Average Loss  0.602165, Time  0.221450
2021-09-21 21:36:47.426763 : Epoch 10, Batch    400, Loss  0.603707, Average Loss  0.602265, Time  0.221547
2021-09-21 21:36:48.911749 : Epoch 10, Batch    401, Loss  0.611193, Average Loss  0.602301, Time  0.222201
2021-09-21 21:36:50.366924 : Epoch 10, Batch    402, Loss  0.606532, Average Loss  0.602348, Time  0.221045
2021-09-21 21:36:51.818013 : Epoch 10, Batch    403, Loss  0.592434, Average Loss  0.602359, Time  0.221359
2021-09-21 21:36:53.285926 : Epoch 10, Batch    404, Loss  0.610486, Average Loss  0.602416, Time  0.221264
2021-09-21 21:36:54.746822 : Epoch 10, Batch    405, Loss  0.595452, Average Loss  0.602359, Time  0.221291
2021-09-21 21:36:56.217023 : Epoch 10, Batch    406, Loss  0.591760, Average Loss  0.602306, Time  0.223543
2021-09-21 21:36:57.713133 : Epoch 10, Batch    407, Loss  0.598108, Average Loss  0.602306, Time  0.226378
2021-09-21 21:36:59.190045 : Epoch 10, Batch    408, Loss  0.598857, Average Loss  0.602279, Time  0.222677
2021-09-21 21:37:00.687177 : Epoch 10, Batch    409, Loss  0.606037, Average Loss  0.602287, Time  0.221831
2021-09-21 21:37:02.189936 : Epoch 10, Batch    410, Loss  0.607814, Average Loss  0.602305, Time  0.221308
2021-09-21 21:37:03.649776 : Epoch 10, Batch    411, Loss  0.607638, Average Loss  0.602330, Time  0.220947
2021-09-21 21:37:05.107880 : Epoch 10, Batch    412, Loss  0.610154, Average Loss  0.602438, Time  0.221010
2021-09-21 21:37:06.602740 : Epoch 10, Batch    413, Loss  0.602614, Average Loss  0.602389, Time  0.221524
2021-09-21 21:37:08.059945 : Epoch 10, Batch    414, Loss  0.600229, Average Loss  0.602410, Time  0.220908
2021-09-21 21:37:09.523852 : Epoch 10, Batch    415, Loss  0.601532, Average Loss  0.602411, Time  0.221853
2021-09-21 21:37:11.022112 : Epoch 10, Batch    416, Loss  0.591398, Average Loss  0.602327, Time  0.221153
2021-09-21 21:37:12.480941 : Epoch 10, Batch    417, Loss  0.600988, Average Loss  0.602263, Time  0.221169
2021-09-21 21:38:07.507682 : CheckPoint: Validation Loss  0.00025381, Best Loss  0.00024129
2021-09-21 21:38:09.012073 : Epoch 10, Batch    418, Loss  0.617148, Average Loss  0.602350, Time  0.250964
2021-09-21 21:38:10.498725 : Epoch 10, Batch    419, Loss  0.608370, Average Loss  0.602395, Time  0.224506
2021-09-21 21:38:11.962168 : Epoch 10, Batch    420, Loss  0.603651, Average Loss  0.602425, Time  0.221197
2021-09-21 21:38:13.426917 : Epoch 10, Batch    421, Loss  0.603332, Average Loss  0.602436, Time  0.221039
2021-09-21 21:38:14.888031 : Epoch 10, Batch    422, Loss  0.600956, Average Loss  0.602503, Time  0.220962
2021-09-21 21:38:16.367745 : Epoch 10, Batch    423, Loss  0.605637, Average Loss  0.602527, Time  0.221632
2021-09-21 21:38:17.827749 : Epoch 10, Batch    424, Loss  0.601092, Average Loss  0.602566, Time  0.220992
2021-09-21 21:38:19.287253 : Epoch 10, Batch    425, Loss  0.608246, Average Loss  0.602638, Time  0.221429
2021-09-21 21:38:20.742951 : Epoch 10, Batch    426, Loss  0.603990, Average Loss  0.602625, Time  0.221516
2021-09-21 21:38:22.229932 : Epoch 10, Batch    427, Loss  0.606176, Average Loss  0.602666, Time  0.221030
2021-09-21 21:38:23.685815 : Epoch 10, Batch    428, Loss  0.595820, Average Loss  0.602630, Time  0.221722
2021-09-21 21:38:25.168920 : Epoch 10, Batch    429, Loss  0.604735, Average Loss  0.602624, Time  0.222489
2021-09-21 21:38:26.633000 : Epoch 10, Batch    430, Loss  0.606064, Average Loss  0.602608, Time  0.221471
2021-09-21 21:38:28.119208 : Epoch 10, Batch    431, Loss  0.605223, Average Loss  0.602573, Time  0.222753
2021-09-21 21:38:29.591716 : Epoch 10, Batch    432, Loss  0.608676, Average Loss  0.602621, Time  0.221770
2021-09-21 21:38:31.053789 : Epoch 10, Batch    433, Loss  0.593123, Average Loss  0.602605, Time  0.222018
2021-09-21 21:38:32.544731 : Epoch 10, Batch    434, Loss  0.603067, Average Loss  0.602613, Time  0.221939
2021-09-21 21:38:34.013947 : Epoch 10, Batch    435, Loss  0.609191, Average Loss  0.602678, Time  0.221758
2021-09-21 21:38:35.487795 : Epoch 10, Batch    436, Loss  0.594419, Average Loss  0.602689, Time  0.221906
2021-09-21 21:38:36.977856 : Epoch 10, Batch    437, Loss  0.609673, Average Loss  0.602777, Time  0.222718
2021-09-21 21:38:38.454947 : Epoch 10, Batch    438, Loss  0.606194, Average Loss  0.602761, Time  0.221304
2021-09-21 21:38:39.919991 : Epoch 10, Batch    439, Loss  0.603142, Average Loss  0.602759, Time  0.222224
2021-09-21 21:38:41.401741 : Epoch 10, Batch    440, Loss  0.612245, Average Loss  0.602774, Time  0.221497
2021-09-21 21:38:42.865878 : Epoch 10, Batch    441, Loss  0.595251, Average Loss  0.602797, Time  0.221327
2021-09-21 21:38:44.360396 : Epoch 10, Batch    442, Loss  0.612125, Average Loss  0.602857, Time  0.250051
2021-09-21 21:38:45.825939 : Epoch 10, Batch    443, Loss  0.605954, Average Loss  0.602899, Time  0.221184
2021-09-21 21:38:47.323941 : Epoch 10, Batch    444, Loss  0.602501, Average Loss  0.602846, Time  0.221760
2021-09-21 21:38:48.816923 : Epoch 10, Batch    445, Loss  0.598724, Average Loss  0.602808, Time  0.225158
2021-09-21 21:38:50.283719 : Epoch 10, Batch    446, Loss  0.605362, Average Loss  0.602806, Time  0.221210
2021-09-21 21:38:51.767914 : Epoch 10, Batch    447, Loss  0.593148, Average Loss  0.602739, Time  0.221340
2021-09-21 21:38:53.227829 : Epoch 10, Batch    448, Loss  0.608992, Average Loss  0.602808, Time  0.221367
2021-09-21 21:38:54.699751 : Epoch 10, Batch    449, Loss  0.595836, Average Loss  0.602869, Time  0.221592
2021-09-21 21:38:56.154675 : Epoch 10, Batch    450, Loss  0.610202, Average Loss  0.602838, Time  0.221352
2021-09-21 21:38:57.616723 : Epoch 10, Batch    451, Loss  0.595450, Average Loss  0.602834, Time  0.221272
2021-09-21 21:38:59.082134 : Epoch 10, Batch    452, Loss  0.590923, Average Loss  0.602799, Time  0.222603
2021-09-21 21:39:00.543791 : Epoch 10, Batch    453, Loss  0.596263, Average Loss  0.602702, Time  0.221493
2021-09-21 21:39:02.000679 : Epoch 10, Batch    454, Loss  0.602066, Average Loss  0.602712, Time  0.221604
2021-09-21 21:39:03.458156 : Epoch 10, Batch    455, Loss  0.594038, Average Loss  0.602655, Time  0.221701
2021-09-21 21:39:04.942930 : Epoch 10, Batch    456, Loss  0.605794, Average Loss  0.602652, Time  0.221226
2021-09-21 21:39:06.409932 : Epoch 10, Batch    457, Loss  0.596940, Average Loss  0.602648, Time  0.221082
2021-09-21 21:39:07.870801 : Epoch 10, Batch    458, Loss  0.616003, Average Loss  0.602690, Time  0.222107
2021-09-21 21:39:09.330194 : Epoch 10, Batch    459, Loss  0.603466, Average Loss  0.602676, Time  0.221100
2021-09-21 21:39:10.790016 : Epoch 10, Batch    460, Loss  0.613540, Average Loss  0.602761, Time  0.221526
2021-09-21 21:39:12.259246 : Epoch 10, Batch    461, Loss  0.594149, Average Loss  0.602694, Time  0.221369
2021-09-21 21:39:13.741958 : Epoch 10, Batch    462, Loss  0.605778, Average Loss  0.602653, Time  0.221181
2021-09-21 21:39:15.196142 : Epoch 10, Batch    463, Loss  0.599352, Average Loss  0.602699, Time  0.221218
2021-09-21 21:39:16.651951 : Epoch 10, Batch    464, Loss  0.595358, Average Loss  0.602665, Time  0.222131
2021-09-21 21:39:18.140708 : Epoch 10, Batch    465, Loss  0.601958, Average Loss  0.602659, Time  0.221221
2021-09-21 21:39:19.605943 : Epoch 10, Batch    466, Loss  0.594476, Average Loss  0.602606, Time  0.222424
2021-09-21 21:39:21.073645 : Epoch 10, Batch    467, Loss  0.609383, Average Loss  0.602626, Time  0.221440
2021-09-21 21:39:22.532932 : Epoch 10, Batch    468, Loss  0.600585, Average Loss  0.602635, Time  0.221246
2021-09-21 21:39:23.991208 : Epoch 10, Batch    469, Loss  0.597645, Average Loss  0.602675, Time  0.221205
2021-09-21 21:39:25.474937 : Epoch 10, Batch    470, Loss  0.602580, Average Loss  0.602701, Time  0.221090
2021-09-21 21:39:26.930937 : Epoch 10, Batch    471, Loss  0.611198, Average Loss  0.602732, Time  0.221051
2021-09-21 21:39:28.386197 : Epoch 10, Batch    472, Loss  0.608938, Average Loss  0.602792, Time  0.221424
2021-09-21 21:39:29.870188 : Epoch 10, Batch    473, Loss  0.596052, Average Loss  0.602810, Time  0.221380
2021-09-21 21:39:31.351220 : Epoch 10, Batch    474, Loss  0.607549, Average Loss  0.602899, Time  0.241808
2021-09-21 21:39:32.826007 : Epoch 10, Batch    475, Loss  0.600747, Average Loss  0.602867, Time  0.221752
2021-09-21 21:39:34.304192 : Epoch 10, Batch    476, Loss  0.603944, Average Loss  0.602858, Time  0.221280
2021-09-21 21:39:35.766184 : Epoch 10, Batch    477, Loss  0.610254, Average Loss  0.602893, Time  0.221492
2021-09-21 21:39:37.224203 : Epoch 10, Batch    478, Loss  0.608522, Average Loss  0.602941, Time  0.222007
2021-09-21 21:39:38.713950 : Epoch 10, Batch    479, Loss  0.608631, Average Loss  0.602987, Time  0.221316
2021-09-21 21:39:40.216662 : Epoch 10, Batch    480, Loss  0.595917, Average Loss  0.602955, Time  0.223312
2021-09-21 21:39:41.700872 : Epoch 10, Batch    481, Loss  0.607799, Average Loss  0.602953, Time  0.223333
2021-09-21 21:39:43.196578 : Epoch 10, Batch    482, Loss  0.601114, Average Loss  0.602989, Time  0.222316
2021-09-21 21:39:44.712236 : Epoch 10, Batch    483, Loss  0.608793, Average Loss  0.603017, Time  0.222431
2021-09-21 21:39:46.192263 : Epoch 10, Batch    484, Loss  0.592745, Average Loss  0.602928, Time  0.222257
2021-09-21 21:39:47.670234 : Epoch 10, Batch    485, Loss  0.603250, Average Loss  0.602986, Time  0.222426
2021-09-21 21:39:49.160904 : Epoch 10, Batch    486, Loss  0.599407, Average Loss  0.602966, Time  0.222481
2021-09-21 21:39:50.640960 : Epoch 10, Batch    487, Loss  0.591661, Average Loss  0.602871, Time  0.223193
2021-09-21 21:39:54.540097 : Epoch 10, Batch    488, Loss  0.604356, Average Loss  0.602788, Time  0.261411
2021-09-21 21:39:56.044372 : Epoch 10, Batch    489, Loss  0.584511, Average Loss  0.602666, Time  0.248908
2021-09-21 21:39:57.521857 : Epoch 10, Batch    490, Loss  0.612910, Average Loss  0.602711, Time  0.229790
2021-09-21 21:39:59.001349 : Epoch 10, Batch    491, Loss  0.602875, Average Loss  0.602757, Time  0.223227
2021-09-21 21:40:00.459868 : Epoch 10, Batch    492, Loss  0.613161, Average Loss  0.602847, Time  0.221221
2021-09-21 21:40:01.924802 : Epoch 10, Batch    493, Loss  0.598874, Average Loss  0.602819, Time  0.221593
2021-09-21 21:40:03.374704 : Epoch 10, Batch    494, Loss  0.595121, Average Loss  0.602813, Time  0.221307
2021-09-21 21:40:04.846767 : Epoch 10, Batch    495, Loss  0.596161, Average Loss  0.602727, Time  0.221623
2021-09-21 21:40:06.304042 : Epoch 10, Batch    496, Loss  0.598951, Average Loss  0.602680, Time  0.221281
2021-09-21 21:40:07.757926 : Epoch 10, Batch    497, Loss  0.612110, Average Loss  0.602701, Time  0.221643
2021-09-21 21:40:09.217240 : Epoch 10, Batch    498, Loss  0.597825, Average Loss  0.602705, Time  0.221333
2021-09-21 21:40:10.692178 : Epoch 10, Batch    499, Loss  0.601401, Average Loss  0.602717, Time  0.221316
2021-09-21 21:40:12.144972 : Epoch 10, Batch    500, Loss  0.588508, Average Loss  0.602604, Time  0.220994
2021-09-21 21:40:13.617927 : Epoch 10, Batch    501, Loss  0.602775, Average Loss  0.602675, Time  0.221302
2021-09-21 21:40:15.072117 : Epoch 10, Batch    502, Loss  0.590507, Average Loss  0.602661, Time  0.221348
2021-09-21 21:40:16.545871 : Epoch 10, Batch    503, Loss  0.602044, Average Loss  0.602622, Time  0.236562
2021-09-21 21:40:18.004851 : Epoch 10, Batch    504, Loss  0.614972, Average Loss  0.602664, Time  0.221057
2021-09-21 21:40:19.474181 : Epoch 10, Batch    505, Loss  0.605954, Average Loss  0.602703, Time  0.221524
2021-09-21 21:40:20.956934 : Epoch 10, Batch    506, Loss  0.606282, Average Loss  0.602701, Time  0.221151
2021-09-21 21:40:22.408902 : Epoch 10, Batch    507, Loss  0.613437, Average Loss  0.602767, Time  0.221203
2021-09-21 21:40:23.868872 : Epoch 10, Batch    508, Loss  0.605161, Average Loss  0.602732, Time  0.221154
2021-09-21 21:40:25.334108 : Epoch 10, Batch    509, Loss  0.603504, Average Loss  0.602704, Time  0.221205
2021-09-21 21:40:26.796116 : Epoch 10, Batch    510, Loss  0.599984, Average Loss  0.602733, Time  0.221315
2021-09-21 21:40:28.268977 : Epoch 10, Batch    511, Loss  0.603562, Average Loss  0.602741, Time  0.222586
2021-09-21 21:40:29.782777 : Epoch 10, Batch    512, Loss  0.601430, Average Loss  0.602755, Time  0.221776
2021-09-21 21:40:31.277977 : Epoch 10, Batch    513, Loss  0.599621, Average Loss  0.602717, Time  0.222375
2021-09-21 21:40:32.763910 : Epoch 10, Batch    514, Loss  0.602641, Average Loss  0.602718, Time  0.244306
2021-09-21 21:40:34.233954 : Epoch 10, Batch    515, Loss  0.588873, Average Loss  0.602669, Time  0.221585
2021-09-21 21:40:35.731227 : Epoch 10, Batch    516, Loss  0.605633, Average Loss  0.602752, Time  0.222384
2021-09-21 21:40:37.222177 : Epoch 10, Batch    517, Loss  0.611503, Average Loss  0.602813, Time  0.222483
2021-09-21 21:41:32.016680 : CheckPoint: Validation Loss  0.00025745, Best Loss  0.00024129
2021-09-21 21:41:33.509930 : Epoch 10, Batch    518, Loss  0.592577, Average Loss  0.602887, Time  0.252781
2021-09-21 21:41:34.979966 : Epoch 10, Batch    519, Loss  0.602211, Average Loss  0.602872, Time  0.226584
2021-09-21 21:41:36.458969 : Epoch 10, Batch    520, Loss  0.600997, Average Loss  0.602857, Time  0.242917
2021-09-21 21:41:37.924699 : Epoch 10, Batch    521, Loss  0.590971, Average Loss  0.602838, Time  0.221088
2021-09-21 21:41:39.414091 : Epoch 10, Batch    522, Loss  0.598558, Average Loss  0.602809, Time  0.221156
2021-09-21 21:41:40.878096 : Epoch 10, Batch    523, Loss  0.609717, Average Loss  0.602808, Time  0.222305
2021-09-21 21:41:42.332876 : Epoch 10, Batch    524, Loss  0.602484, Average Loss  0.602870, Time  0.221000
2021-09-21 21:41:43.814814 : Epoch 10, Batch    525, Loss  0.592320, Average Loss  0.602879, Time  0.221206
2021-09-21 21:41:45.270878 : Epoch 10, Batch    526, Loss  0.601470, Average Loss  0.602905, Time  0.221127
2021-09-21 21:41:46.750445 : Epoch 10, Batch    527, Loss  0.606916, Average Loss  0.602946, Time  0.221386
2021-09-21 21:41:48.214921 : Epoch 10, Batch    528, Loss  0.601433, Average Loss  0.602937, Time  0.220895
2021-09-21 21:41:49.706106 : Epoch 10, Batch    529, Loss  0.595637, Average Loss  0.602889, Time  0.221983
2021-09-21 21:41:51.196975 : Epoch 10, Batch    530, Loss  0.596302, Average Loss  0.602899, Time  0.221134
2021-09-21 21:41:52.658778 : Epoch 10, Batch    531, Loss  0.610819, Average Loss  0.602911, Time  0.221156
2021-09-21 21:41:54.118794 : Epoch 10, Batch    532, Loss  0.614057, Average Loss  0.602973, Time  0.221467
2021-09-21 21:41:55.573052 : Epoch 10, Batch    533, Loss  0.598797, Average Loss  0.602961, Time  0.221007
2021-09-21 21:41:57.042949 : Epoch 10, Batch    534, Loss  0.612630, Average Loss  0.603026, Time  0.221239
2021-09-21 21:41:58.498952 : Epoch 10, Batch    535, Loss  0.601448, Average Loss  0.603024, Time  0.221475
2021-09-21 21:41:59.982752 : Epoch 10, Batch    536, Loss  0.592040, Average Loss  0.602967, Time  0.221114
2021-09-21 21:42:01.458125 : Epoch 10, Batch    537, Loss  0.596523, Average Loss  0.602948, Time  0.221272
2021-09-21 21:42:02.917677 : Epoch 10, Batch    538, Loss  0.595990, Average Loss  0.602982, Time  0.221693
2021-09-21 21:42:04.374875 : Epoch 10, Batch    539, Loss  0.599028, Average Loss  0.602929, Time  0.221775
2021-09-21 21:42:05.867273 : Epoch 10, Batch    540, Loss  0.611228, Average Loss  0.602994, Time  0.221589
2021-09-21 21:42:07.356930 : Epoch 10, Batch    541, Loss  0.613267, Average Loss  0.602989, Time  0.221357
2021-09-21 21:42:08.820917 : Epoch 10, Batch    542, Loss  0.606508, Average Loss  0.603058, Time  0.221630
2021-09-21 21:42:10.283107 : Epoch 10, Batch    543, Loss  0.597348, Average Loss  0.603079, Time  0.221631
2021-09-21 21:42:11.763879 : Epoch 10, Batch    544, Loss  0.603851, Average Loss  0.603063, Time  0.221240
2021-09-21 21:42:13.220209 : Epoch 10, Batch    545, Loss  0.605101, Average Loss  0.603098, Time  0.221247
2021-09-21 21:42:14.685756 : Epoch 10, Batch    546, Loss  0.615030, Average Loss  0.603146, Time  0.221113
2021-09-21 21:42:16.150781 : Epoch 10, Batch    547, Loss  0.602669, Average Loss  0.603169, Time  0.221398
2021-09-21 21:42:17.615378 : Epoch 10, Batch    548, Loss  0.598778, Average Loss  0.603138, Time  0.222300
2021-09-21 21:42:19.080947 : Epoch 10, Batch    549, Loss  0.610203, Average Loss  0.603266, Time  0.221179
2021-09-21 21:42:20.546133 : Epoch 10, Batch    550, Loss  0.603032, Average Loss  0.603271, Time  0.222177
2021-09-21 21:42:22.043708 : Epoch 10, Batch    551, Loss  0.603611, Average Loss  0.603010, Time  0.221495
2021-09-21 21:42:23.508720 : Epoch 10, Batch    552, Loss  0.611569, Average Loss  0.603043, Time  0.221818
2021-09-21 21:42:24.968681 : Epoch 10, Batch    553, Loss  0.589300, Average Loss  0.602967, Time  0.221435
2021-09-21 21:42:26.466949 : Epoch 10, Batch    554, Loss  0.596072, Average Loss  0.602932, Time  0.221332
2021-09-21 21:42:27.962935 : Epoch 10, Batch    555, Loss  0.596370, Average Loss  0.602890, Time  0.222034
2021-09-21 21:42:29.439784 : Epoch 10, Batch    556, Loss  0.615859, Average Loss  0.602916, Time  0.221259
2021-09-21 21:42:30.909568 : Epoch 10, Batch    557, Loss  0.584249, Average Loss  0.602849, Time  0.222649
2021-09-21 21:42:32.395628 : Epoch 10, Batch    558, Loss  0.606474, Average Loss  0.602860, Time  0.225737
2021-09-21 21:42:33.869933 : Epoch 10, Batch    559, Loss  0.592421, Average Loss  0.602777, Time  0.221513
2021-09-21 21:42:35.347672 : Epoch 10, Batch    560, Loss  0.609929, Average Loss  0.602753, Time  0.222045
2021-09-21 21:42:36.819949 : Epoch 10, Batch    561, Loss  0.612372, Average Loss  0.602788, Time  0.222293
2021-09-21 21:42:38.291960 : Epoch 10, Batch    562, Loss  0.609176, Average Loss  0.602778, Time  0.222732
2021-09-21 21:42:39.781086 : Epoch 10, Batch    563, Loss  0.601377, Average Loss  0.602736, Time  0.223182
2021-09-21 21:42:41.252938 : Epoch 10, Batch    564, Loss  0.601655, Average Loss  0.602758, Time  0.221210
2021-09-21 21:42:42.721924 : Epoch 10, Batch    565, Loss  0.610533, Average Loss  0.602803, Time  0.221327
2021-09-21 21:42:44.181948 : Epoch 10, Batch    566, Loss  0.607019, Average Loss  0.602800, Time  0.221164
2021-09-21 21:42:45.639933 : Epoch 10, Batch    567, Loss  0.609295, Average Loss  0.602799, Time  0.221390
2021-09-21 21:42:47.107684 : Epoch 10, Batch    568, Loss  0.596680, Average Loss  0.602746, Time  0.221256
2021-09-21 21:42:48.568714 : Epoch 10, Batch    569, Loss  0.596069, Average Loss  0.602669, Time  0.221457
2021-09-21 21:42:50.026958 : Epoch 10, Batch    570, Loss  0.601967, Average Loss  0.602617, Time  0.221548
2021-09-21 21:42:51.484106 : Epoch 10, Batch    571, Loss  0.618419, Average Loss  0.602624, Time  0.221297
2021-09-21 21:42:52.962724 : Epoch 10, Batch    572, Loss  0.598142, Average Loss  0.602624, Time  0.221393
2021-09-21 21:42:54.422122 : Epoch 10, Batch    573, Loss  0.593272, Average Loss  0.602605, Time  0.221357
2021-09-21 21:42:55.884769 : Epoch 10, Batch    574, Loss  0.609851, Average Loss  0.602629, Time  0.223475
2021-09-21 21:42:57.364085 : Epoch 10, Batch    575, Loss  0.600165, Average Loss  0.602660, Time  0.221204
2021-09-21 21:42:58.827722 : Epoch 10, Batch    576, Loss  0.603084, Average Loss  0.602653, Time  0.221241
2021-09-21 21:43:00.279699 : Epoch 10, Batch    577, Loss  0.605487, Average Loss  0.602675, Time  0.221267
2021-09-21 21:43:01.745894 : Epoch 10, Batch    578, Loss  0.594119, Average Loss  0.602647, Time  0.221300
2021-09-21 21:43:03.230085 : Epoch 10, Batch    579, Loss  0.600719, Average Loss  0.602666, Time  0.221228
2021-09-21 21:43:04.713879 : Epoch 10, Batch    580, Loss  0.587651, Average Loss  0.602665, Time  0.220893
2021-09-21 21:43:06.169027 : Epoch 10, Batch    581, Loss  0.610557, Average Loss  0.602676, Time  0.221349
2021-09-21 21:43:07.619951 : Epoch 10, Batch    582, Loss  0.589833, Average Loss  0.602541, Time  0.221052
2021-09-21 21:43:09.097920 : Epoch 10, Batch    583, Loss  0.603890, Average Loss  0.602532, Time  0.221313
2021-09-21 21:43:10.555068 : Epoch 10, Batch    584, Loss  0.606216, Average Loss  0.602509, Time  0.220982
2021-09-21 21:43:12.009032 : Epoch 10, Batch    585, Loss  0.605086, Average Loss  0.602496, Time  0.221202
2021-09-21 21:43:13.456190 : Epoch 10, Batch    586, Loss  0.601812, Average Loss  0.602530, Time  0.220830
2021-09-21 21:43:14.931012 : Epoch 10, Batch    587, Loss  0.588474, Average Loss  0.602445, Time  0.222491
2021-09-21 21:43:18.786757 : Epoch 10, Batch    588, Loss  0.614980, Average Loss  0.602521, Time  0.254502
2021-09-21 21:43:20.238692 : Epoch 10, Batch    589, Loss  0.604447, Average Loss  0.602543, Time  0.227109
2021-09-21 21:43:21.686928 : Epoch 10, Batch    590, Loss  0.602369, Average Loss  0.602547, Time  0.221225
2021-09-21 21:43:23.139995 : Epoch 10, Batch    591, Loss  0.604311, Average Loss  0.602553, Time  0.222046
2021-09-21 21:43:24.584516 : Epoch 10, Batch    592, Loss  0.608827, Average Loss  0.602575, Time  0.220937
2021-09-21 21:43:26.032221 : Epoch 10, Batch    593, Loss  0.599690, Average Loss  0.602617, Time  0.221894
2021-09-21 21:43:27.535759 : Epoch 10, Batch    594, Loss  0.585817, Average Loss  0.602562, Time  0.224728
2021-09-21 21:43:28.993975 : Epoch 10, Batch    595, Loss  0.590086, Average Loss  0.602408, Time  0.222405
2021-09-21 21:43:30.457028 : Epoch 10, Batch    596, Loss  0.595311, Average Loss  0.602398, Time  0.221350
2021-09-21 21:43:31.947082 : Epoch 10, Batch    597, Loss  0.607857, Average Loss  0.602451, Time  0.222592
2021-09-21 21:43:33.436732 : Epoch 10, Batch    598, Loss  0.603304, Average Loss  0.602391, Time  0.221297
2021-09-21 21:43:34.899806 : Epoch 10, Batch    599, Loss  0.605401, Average Loss  0.602416, Time  0.221588
2021-09-21 21:43:36.369681 : Epoch 10, Batch    600, Loss  0.607240, Average Loss  0.602434, Time  0.223063
2021-09-21 21:43:37.835970 : Epoch 10, Batch    601, Loss  0.591542, Average Loss  0.602336, Time  0.221861
2021-09-21 21:43:39.289797 : Epoch 10, Batch    602, Loss  0.593005, Average Loss  0.602268, Time  0.222973
2021-09-21 21:43:40.743193 : Epoch 10, Batch    603, Loss  0.608298, Average Loss  0.602347, Time  0.221154
2021-09-21 21:43:42.199909 : Epoch 10, Batch    604, Loss  0.593791, Average Loss  0.602264, Time  0.221109
2021-09-21 21:43:43.674941 : Epoch 10, Batch    605, Loss  0.616673, Average Loss  0.602370, Time  0.223039
2021-09-21 21:43:45.142966 : Epoch 10, Batch    606, Loss  0.598548, Average Loss  0.602404, Time  0.221842
2021-09-21 21:43:46.600926 : Epoch 10, Batch    607, Loss  0.592772, Average Loss  0.602377, Time  0.221088
2021-09-21 21:43:48.061256 : Epoch 10, Batch    608, Loss  0.599772, Average Loss  0.602382, Time  0.221898
2021-09-21 21:43:49.517845 : Epoch 10, Batch    609, Loss  0.617428, Average Loss  0.602439, Time  0.221907
2021-09-21 21:43:50.970899 : Epoch 10, Batch    610, Loss  0.606027, Average Loss  0.602430, Time  0.221450
2021-09-21 21:43:52.444035 : Epoch 10, Batch    611, Loss  0.600427, Average Loss  0.602394, Time  0.221134
2021-09-21 21:43:53.897969 : Epoch 10, Batch    612, Loss  0.598543, Average Loss  0.602336, Time  0.221326
2021-09-21 21:43:55.354975 : Epoch 10, Batch    613, Loss  0.597356, Average Loss  0.602309, Time  0.221368
2021-09-21 21:43:56.823951 : Epoch 10, Batch    614, Loss  0.614759, Average Loss  0.602382, Time  0.221129
2021-09-21 21:43:58.288910 : Epoch 10, Batch    615, Loss  0.617009, Average Loss  0.602459, Time  0.221554
2021-09-21 21:43:59.742028 : Epoch 10, Batch    616, Loss  0.595802, Average Loss  0.602481, Time  0.220844
2021-09-21 21:44:01.190898 : Epoch 10, Batch    617, Loss  0.593135, Average Loss  0.602442, Time  0.221203
2021-09-21 21:44:56.051680 : CheckPoint: Validation Loss  0.00025555, Best Loss  0.00024129
2021-09-21 21:44:57.523140 : Epoch 10, Batch    618, Loss  0.604295, Average Loss  0.602378, Time  0.222174
2021-09-21 21:44:58.977927 : Epoch 10, Batch    619, Loss  0.611071, Average Loss  0.602391, Time  0.221074
2021-09-21 21:45:00.440123 : Epoch 10, Batch    620, Loss  0.609897, Average Loss  0.602423, Time  0.221224
2021-09-21 21:45:01.934807 : Epoch 10, Batch    621, Loss  0.600836, Average Loss  0.602410, Time  0.223162
2021-09-21 21:45:03.410998 : Epoch 10, Batch    622, Loss  0.603878, Average Loss  0.602425, Time  0.222769
2021-09-21 21:45:04.879941 : Epoch 10, Batch    623, Loss  0.603756, Average Loss  0.602415, Time  0.223126
2021-09-21 21:45:06.372799 : Epoch 10, Batch    624, Loss  0.596564, Average Loss  0.602393, Time  0.222266
2021-09-21 21:45:07.836982 : Epoch 10, Batch    625, Loss  0.605370, Average Loss  0.602378, Time  0.221741
2021-09-21 21:45:09.305065 : Epoch 10, Batch    626, Loss  0.605418, Average Loss  0.602385, Time  0.221848
2021-09-21 21:45:10.768212 : Epoch 10, Batch    627, Loss  0.593478, Average Loss  0.602322, Time  0.221866
2021-09-21 21:45:12.263978 : Epoch 10, Batch    628, Loss  0.586740, Average Loss  0.602277, Time  0.222026
2021-09-21 21:45:13.725207 : Epoch 10, Batch    629, Loss  0.595374, Average Loss  0.602230, Time  0.221744
2021-09-21 21:45:15.200968 : Epoch 10, Batch    630, Loss  0.604866, Average Loss  0.602224, Time  0.221629
2021-09-21 21:45:16.666936 : Epoch 10, Batch    631, Loss  0.591634, Average Loss  0.602156, Time  0.221815
2021-09-21 21:45:18.128137 : Epoch 10, Batch    632, Loss  0.601565, Average Loss  0.602120, Time  0.221643
2021-09-21 21:45:19.589931 : Epoch 10, Batch    633, Loss  0.602659, Average Loss  0.602168, Time  0.221205
2021-09-21 21:45:21.053198 : Epoch 10, Batch    634, Loss  0.604190, Average Loss  0.602174, Time  0.221097
2021-09-21 21:45:22.557193 : Epoch 10, Batch    635, Loss  0.610673, Average Loss  0.602181, Time  0.221266
2021-09-21 21:45:24.068245 : Epoch 10, Batch    636, Loss  0.597197, Average Loss  0.602195, Time  0.221995
2021-09-21 21:45:25.537076 : Epoch 10, Batch    637, Loss  0.602534, Average Loss  0.602159, Time  0.221624
2021-09-21 21:45:27.016925 : Epoch 10, Batch    638, Loss  0.605389, Average Loss  0.602155, Time  0.221101
2021-09-21 21:45:28.469876 : Epoch 10, Batch    639, Loss  0.601255, Average Loss  0.602146, Time  0.221425
2021-09-21 21:45:29.948184 : Epoch 10, Batch    640, Loss  0.608105, Average Loss  0.602125, Time  0.221632
2021-09-21 21:45:31.399866 : Epoch 10, Batch    641, Loss  0.605838, Average Loss  0.602178, Time  0.221559
2021-09-21 21:45:32.862719 : Epoch 10, Batch    642, Loss  0.608696, Average Loss  0.602161, Time  0.221357
2021-09-21 21:45:34.318752 : Epoch 10, Batch    643, Loss  0.605556, Average Loss  0.602159, Time  0.221809
2021-09-21 21:45:35.774763 : Epoch 10, Batch    644, Loss  0.605345, Average Loss  0.602173, Time  0.221720
2021-09-21 21:45:37.235274 : Epoch 10, Batch    645, Loss  0.603760, Average Loss  0.602198, Time  0.221524
2021-09-21 21:45:38.713715 : Epoch 10, Batch    646, Loss  0.601947, Average Loss  0.602181, Time  0.221781
2021-09-21 21:45:40.167124 : Epoch 10, Batch    647, Loss  0.582609, Average Loss  0.602128, Time  0.221301
2021-09-21 21:45:41.624962 : Epoch 10, Batch    648, Loss  0.607123, Average Loss  0.602119, Time  0.221277
2021-09-21 21:45:43.081136 : Epoch 10, Batch    649, Loss  0.597282, Average Loss  0.602126, Time  0.221234
2021-09-21 21:45:44.581987 : Epoch 10, Batch    650, Loss  0.603040, Average Loss  0.602091, Time  0.221437
2021-09-21 21:45:46.050940 : Epoch 10, Batch    651, Loss  0.595680, Average Loss  0.602092, Time  0.221115
2021-09-21 21:45:47.518727 : Epoch 10, Batch    652, Loss  0.593456, Average Loss  0.602104, Time  0.222113
2021-09-21 21:45:48.980116 : Epoch 10, Batch    653, Loss  0.598928, Average Loss  0.602118, Time  0.221165
2021-09-21 21:45:50.468677 : Epoch 10, Batch    654, Loss  0.612583, Average Loss  0.602170, Time  0.222322
2021-09-21 21:45:51.923937 : Epoch 10, Batch    655, Loss  0.605892, Average Loss  0.602229, Time  0.221634
2021-09-21 21:45:53.385961 : Epoch 10, Batch    656, Loss  0.607089, Average Loss  0.602236, Time  0.221403
2021-09-21 21:45:54.868201 : Epoch 10, Batch    657, Loss  0.605062, Average Loss  0.602277, Time  0.222726
2021-09-21 21:45:56.347728 : Epoch 10, Batch    658, Loss  0.599783, Average Loss  0.602195, Time  0.244050
2021-09-21 21:45:57.801920 : Epoch 10, Batch    659, Loss  0.598376, Average Loss  0.602170, Time  0.221153
2021-09-21 21:45:59.278874 : Epoch 10, Batch    660, Loss  0.606932, Average Loss  0.602137, Time  0.221002
2021-09-21 21:46:00.731130 : Epoch 10, Batch    661, Loss  0.600573, Average Loss  0.602169, Time  0.221319
2021-09-21 21:46:02.184735 : Epoch 10, Batch    662, Loss  0.602490, Average Loss  0.602153, Time  0.221112
2021-09-21 21:46:03.636946 : Epoch 10, Batch    663, Loss  0.600022, Average Loss  0.602156, Time  0.221285
2021-09-21 21:46:05.118731 : Epoch 10, Batch    664, Loss  0.610544, Average Loss  0.602232, Time  0.221806
2021-09-21 21:46:06.599133 : Epoch 10, Batch    665, Loss  0.594592, Average Loss  0.602195, Time  0.243880
2021-09-21 21:46:08.051872 : Epoch 10, Batch    666, Loss  0.601463, Average Loss  0.602230, Time  0.221313
2021-09-21 21:46:09.533994 : Epoch 10, Batch    667, Loss  0.600268, Average Loss  0.602184, Time  0.221277
2021-09-21 21:46:11.024925 : Epoch 10, Batch    668, Loss  0.597123, Average Loss  0.602167, Time  0.221003
2021-09-21 21:46:12.493681 : Epoch 10, Batch    669, Loss  0.601936, Average Loss  0.602189, Time  0.221352
2021-09-21 21:46:13.945979 : Epoch 10, Batch    670, Loss  0.612963, Average Loss  0.602241, Time  0.221111
2021-09-21 21:46:15.423261 : Epoch 10, Batch    671, Loss  0.604663, Average Loss  0.602208, Time  0.221368
2021-09-21 21:46:16.888140 : Epoch 10, Batch    672, Loss  0.589644, Average Loss  0.602111, Time  0.221358
2021-09-21 21:46:18.356973 : Epoch 10, Batch    673, Loss  0.605539, Average Loss  0.602159, Time  0.221323
2021-09-21 21:46:19.816891 : Epoch 10, Batch    674, Loss  0.599394, Average Loss  0.602118, Time  0.221354
2021-09-21 21:46:21.299939 : Epoch 10, Batch    675, Loss  0.607998, Average Loss  0.602154, Time  0.221510
2021-09-21 21:46:22.762963 : Epoch 10, Batch    676, Loss  0.600305, Average Loss  0.602136, Time  0.221339
2021-09-21 21:46:24.222914 : Epoch 10, Batch    677, Loss  0.599177, Average Loss  0.602081, Time  0.221550
2021-09-21 21:46:25.680798 : Epoch 10, Batch    678, Loss  0.604340, Average Loss  0.602060, Time  0.221437
2021-09-21 21:46:27.145848 : Epoch 10, Batch    679, Loss  0.602083, Average Loss  0.602027, Time  0.221689
2021-09-21 21:46:28.603198 : Epoch 10, Batch    680, Loss  0.616778, Average Loss  0.602131, Time  0.221056
2021-09-21 21:46:30.072831 : Epoch 10, Batch    681, Loss  0.596546, Average Loss  0.602075, Time  0.221242
2021-09-21 21:46:31.530203 : Epoch 10, Batch    682, Loss  0.606900, Average Loss  0.602104, Time  0.220967
2021-09-21 21:46:32.986196 : Epoch 10, Batch    683, Loss  0.606854, Average Loss  0.602094, Time  0.221764
2021-09-21 21:46:34.471827 : Epoch 10, Batch    684, Loss  0.611369, Average Loss  0.602187, Time  0.221743
2021-09-21 21:46:35.956707 : Epoch 10, Batch    685, Loss  0.602310, Average Loss  0.602183, Time  0.221190
2021-09-21 21:46:37.409017 : Epoch 10, Batch    686, Loss  0.605640, Average Loss  0.602214, Time  0.221517
2021-09-21 21:46:38.869958 : Epoch 10, Batch    687, Loss  0.602427, Average Loss  0.602268, Time  0.221907
2021-09-21 21:46:42.700187 : Epoch 10, Batch    688, Loss  0.608851, Average Loss  0.602290, Time  0.250477
2021-09-21 21:46:44.146188 : Epoch 10, Batch    689, Loss  0.592704, Average Loss  0.602331, Time  0.225551
2021-09-21 21:46:45.597940 : Epoch 10, Batch    690, Loss  0.614762, Average Loss  0.602340, Time  0.221760
2021-09-21 21:46:47.038070 : Epoch 10, Batch    691, Loss  0.601891, Average Loss  0.602336, Time  0.221199
2021-09-21 21:46:48.511713 : Epoch 10, Batch    692, Loss  0.612846, Average Loss  0.602334, Time  0.221482
2021-09-21 21:46:49.953121 : Epoch 10, Batch    693, Loss  0.605836, Average Loss  0.602369, Time  0.221104
2021-09-21 21:46:51.459142 : Epoch 10, Batch    694, Loss  0.611559, Average Loss  0.602451, Time  0.222162
2021-09-21 21:46:52.942588 : Epoch 10, Batch    695, Loss  0.591657, Average Loss  0.602428, Time  0.222624
2021-09-21 21:46:54.434751 : Epoch 10, Batch    696, Loss  0.596925, Average Loss  0.602418, Time  0.221581
2021-09-21 21:46:55.909782 : Epoch 10, Batch    697, Loss  0.601409, Average Loss  0.602365, Time  0.222157
2021-09-21 21:46:57.371971 : Epoch 10, Batch    698, Loss  0.615155, Average Loss  0.602451, Time  0.221386
2021-09-21 21:46:58.857050 : Epoch 10, Batch    699, Loss  0.611060, Average Loss  0.602500, Time  0.221817
2021-09-21 21:47:00.344946 : Epoch 10, Batch    700, Loss  0.606359, Average Loss  0.602589, Time  0.221123
2021-09-21 21:47:01.798017 : Epoch 10, Batch    701, Loss  0.614068, Average Loss  0.602645, Time  0.221655
2021-09-21 21:47:03.277138 : Epoch 10, Batch    702, Loss  0.606410, Average Loss  0.602725, Time  0.221738
2021-09-21 21:47:04.731011 : Epoch 10, Batch    703, Loss  0.589875, Average Loss  0.602664, Time  0.221452
2021-09-21 21:47:06.211896 : Epoch 10, Batch    704, Loss  0.600323, Average Loss  0.602591, Time  0.221370
2021-09-21 21:47:07.668883 : Epoch 10, Batch    705, Loss  0.603289, Average Loss  0.602578, Time  0.221768
2021-09-21 21:47:09.130018 : Epoch 10, Batch    706, Loss  0.610266, Average Loss  0.602597, Time  0.221515
2021-09-21 21:47:10.611200 : Epoch 10, Batch    707, Loss  0.591348, Average Loss  0.602487, Time  0.221179
2021-09-21 21:47:12.075708 : Epoch 10, Batch    708, Loss  0.602254, Average Loss  0.602473, Time  0.221256
2021-09-21 21:47:13.541622 : Epoch 10, Batch    709, Loss  0.599793, Average Loss  0.602454, Time  0.221876
2021-09-21 21:47:15.037803 : Epoch 10, Batch    710, Loss  0.591225, Average Loss  0.602410, Time  0.221837
2021-09-21 21:47:16.517132 : Epoch 10, Batch    711, Loss  0.610121, Average Loss  0.602443, Time  0.221187
2021-09-21 21:47:17.971058 : Epoch 10, Batch    712, Loss  0.608372, Average Loss  0.602478, Time  0.220863
2021-09-21 21:47:19.448998 : Epoch 10, Batch    713, Loss  0.598550, Average Loss  0.602472, Time  0.222194
2021-09-21 21:47:20.933930 : Epoch 10, Batch    714, Loss  0.594229, Average Loss  0.602430, Time  0.221392
2021-09-21 21:47:22.384117 : Epoch 10, Batch    715, Loss  0.607611, Average Loss  0.602524, Time  0.221320
2021-09-21 21:47:23.835854 : Epoch 10, Batch    716, Loss  0.596350, Average Loss  0.602478, Time  0.221466
2021-09-21 21:47:25.279867 : Epoch 10, Batch    717, Loss  0.606679, Average Loss  0.602453, Time  0.221064
2021-09-21 21:48:20.297680 : CheckPoint: Validation Loss  0.00024997, Best Loss  0.00024129
2021-09-21 21:48:21.766763 : Epoch 10, Batch    718, Loss  0.594878, Average Loss  0.602465, Time  0.225529
2021-09-21 21:48:23.219884 : Epoch 10, Batch    719, Loss  0.593918, Average Loss  0.602423, Time  0.221313
2021-09-21 21:48:24.706185 : Epoch 10, Batch    720, Loss  0.612363, Average Loss  0.602480, Time  0.220944
2021-09-21 21:48:26.167922 : Epoch 10, Batch    721, Loss  0.608946, Average Loss  0.602570, Time  0.221481
2021-09-21 21:48:27.621041 : Epoch 10, Batch    722, Loss  0.599725, Average Loss  0.602576, Time  0.221115
2021-09-21 21:48:29.121067 : Epoch 10, Batch    723, Loss  0.603796, Average Loss  0.602546, Time  0.221345
2021-09-21 21:48:30.601084 : Epoch 10, Batch    724, Loss  0.607948, Average Loss  0.602574, Time  0.221342
2021-09-21 21:48:32.055126 : Epoch 10, Batch    725, Loss  0.604280, Average Loss  0.602634, Time  0.221689
2021-09-21 21:48:33.507034 : Epoch 10, Batch    726, Loss  0.606771, Average Loss  0.602660, Time  0.220913
2021-09-21 21:48:34.985002 : Epoch 10, Batch    727, Loss  0.599265, Average Loss  0.602622, Time  0.221497
2021-09-21 21:48:36.466974 : Epoch 10, Batch    728, Loss  0.604391, Average Loss  0.602637, Time  0.222903
2021-09-21 21:48:37.924911 : Epoch 10, Batch    729, Loss  0.601273, Average Loss  0.602665, Time  0.220994
2021-09-21 21:48:39.377207 : Epoch 10, Batch    730, Loss  0.606119, Average Loss  0.602714, Time  0.221401
2021-09-21 21:48:40.847977 : Epoch 10, Batch    731, Loss  0.611530, Average Loss  0.602717, Time  0.221510
2021-09-21 21:48:42.307720 : Epoch 10, Batch    732, Loss  0.612362, Average Loss  0.602709, Time  0.220917
2021-09-21 21:48:43.760930 : Epoch 10, Batch    733, Loss  0.594945, Average Loss  0.602690, Time  0.221313
2021-09-21 21:48:45.239996 : Epoch 10, Batch    734, Loss  0.604645, Average Loss  0.602650, Time  0.221449
2021-09-21 21:48:46.688192 : Epoch 10, Batch    735, Loss  0.593915, Average Loss  0.602612, Time  0.221595
2021-09-21 21:48:48.147207 : Epoch 10, Batch    736, Loss  0.589730, Average Loss  0.602601, Time  0.221244
2021-09-21 21:48:49.605194 : Epoch 10, Batch    737, Loss  0.594246, Average Loss  0.602589, Time  0.221456
2021-09-21 21:48:51.082972 : Epoch 10, Batch    738, Loss  0.622913, Average Loss  0.602724, Time  0.221474
2021-09-21 21:48:52.538768 : Epoch 10, Batch    739, Loss  0.606499, Average Loss  0.602761, Time  0.221339
2021-09-21 21:48:53.995962 : Epoch 10, Batch    740, Loss  0.600860, Average Loss  0.602709, Time  0.221000
2021-09-21 21:48:55.476188 : Epoch 10, Batch    741, Loss  0.605634, Average Loss  0.602671, Time  0.221226
2021-09-21 21:48:56.955003 : Epoch 10, Batch    742, Loss  0.609465, Average Loss  0.602686, Time  0.221346
2021-09-21 21:48:58.403958 : Epoch 10, Batch    743, Loss  0.589007, Average Loss  0.602644, Time  0.221573
2021-09-21 21:48:59.874191 : Epoch 10, Batch    744, Loss  0.606648, Average Loss  0.602658, Time  0.220762
2021-09-21 21:49:01.346000 : Epoch 10, Batch    745, Loss  0.602241, Average Loss  0.602644, Time  0.221582
2021-09-21 21:49:02.800727 : Epoch 10, Batch    746, Loss  0.606066, Average Loss  0.602599, Time  0.221052
2021-09-21 21:49:04.253192 : Epoch 10, Batch    747, Loss  0.610899, Average Loss  0.602640, Time  0.221270
2021-09-21 21:49:05.735691 : Epoch 10, Batch    748, Loss  0.600092, Average Loss  0.602647, Time  0.221184
2021-09-21 21:49:07.194971 : Epoch 10, Batch    749, Loss  0.599176, Average Loss  0.602592, Time  0.221189
2021-09-21 21:49:08.651751 : Epoch 10, Batch    750, Loss  0.597802, Average Loss  0.602565, Time  0.221099
2021-09-21 21:49:10.107122 : Epoch 10, Batch    751, Loss  0.593727, Average Loss  0.602516, Time  0.221215
2021-09-21 21:49:11.589980 : Epoch 10, Batch    752, Loss  0.602040, Average Loss  0.602468, Time  0.221127
2021-09-21 21:49:13.054175 : Epoch 10, Batch    753, Loss  0.598292, Average Loss  0.602513, Time  0.221816
2021-09-21 21:49:14.511012 : Epoch 10, Batch    754, Loss  0.606886, Average Loss  0.602567, Time  0.221847
2021-09-21 21:49:15.991956 : Epoch 10, Batch    755, Loss  0.601655, Average Loss  0.602594, Time  0.221925
2021-09-21 21:49:17.458238 : Epoch 10, Batch    756, Loss  0.589429, Average Loss  0.602462, Time  0.221710
2021-09-21 21:49:18.922772 : Epoch 10, Batch    757, Loss  0.597427, Average Loss  0.602528, Time  0.221553
2021-09-21 21:49:20.379932 : Epoch 10, Batch    758, Loss  0.603195, Average Loss  0.602511, Time  0.220846
2021-09-21 21:49:21.856982 : Epoch 10, Batch    759, Loss  0.596609, Average Loss  0.602532, Time  0.221441
2021-09-21 21:49:23.332953 : Epoch 10, Batch    760, Loss  0.594257, Average Loss  0.602454, Time  0.241830
2021-09-21 21:49:24.780927 : Epoch 10, Batch    761, Loss  0.588345, Average Loss  0.602334, Time  0.221156
2021-09-21 21:49:26.235788 : Epoch 10, Batch    762, Loss  0.604834, Average Loss  0.602312, Time  0.221150
2021-09-21 21:49:27.695924 : Epoch 10, Batch    763, Loss  0.612134, Average Loss  0.602366, Time  0.221275
2021-09-21 21:49:29.146210 : Epoch 10, Batch    764, Loss  0.602006, Average Loss  0.602367, Time  0.221252
2021-09-21 21:49:30.651828 : Epoch 10, Batch    765, Loss  0.607497, Average Loss  0.602352, Time  0.221483
2021-09-21 21:49:32.111754 : Epoch 10, Batch    766, Loss  0.607438, Average Loss  0.602354, Time  0.221298
2021-09-21 21:49:33.564924 : Epoch 10, Batch    767, Loss  0.609844, Average Loss  0.602357, Time  0.221236
2021-09-21 21:49:35.020316 : Epoch 10, Batch    768, Loss  0.607012, Average Loss  0.602409, Time  0.222145
2021-09-21 21:49:36.473762 : Epoch 10, Batch    769, Loss  0.600655, Average Loss  0.602432, Time  0.221252
2021-09-21 21:49:37.930219 : Epoch 10, Batch    770, Loss  0.592464, Average Loss  0.602384, Time  0.221260
2021-09-21 21:49:39.393012 : Epoch 10, Batch    771, Loss  0.602924, Average Loss  0.602307, Time  0.221133
2021-09-21 21:49:40.886103 : Epoch 10, Batch    772, Loss  0.604211, Average Loss  0.602337, Time  0.221433
2021-09-21 21:49:42.368851 : Epoch 10, Batch    773, Loss  0.603148, Average Loss  0.602386, Time  0.221816
2021-09-21 21:49:43.840747 : Epoch 10, Batch    774, Loss  0.605444, Average Loss  0.602364, Time  0.221501
2021-09-21 21:49:45.293922 : Epoch 10, Batch    775, Loss  0.602371, Average Loss  0.602375, Time  0.221227
2021-09-21 21:49:46.755949 : Epoch 10, Batch    776, Loss  0.611035, Average Loss  0.602415, Time  0.221178
2021-09-21 21:49:48.247945 : Epoch 10, Batch    777, Loss  0.606118, Average Loss  0.602418, Time  0.222662
2021-09-21 21:49:49.707938 : Epoch 10, Batch    778, Loss  0.605121, Average Loss  0.602473, Time  0.220979
2021-09-21 21:49:51.168855 : Epoch 10, Batch    779, Loss  0.602779, Average Loss  0.602484, Time  0.221562
2021-09-21 21:49:52.653753 : Epoch 10, Batch    780, Loss  0.602350, Average Loss  0.602557, Time  0.221272
2021-09-21 21:49:54.107925 : Epoch 10, Batch    781, Loss  0.607548, Average Loss  0.602542, Time  0.221334
2021-09-21 21:49:55.570746 : Epoch 10, Batch    782, Loss  0.595047, Average Loss  0.602568, Time  0.221602
2021-09-21 21:49:57.023848 : Epoch 10, Batch    783, Loss  0.586670, Average Loss  0.602482, Time  0.221500
2021-09-21 21:49:58.507112 : Epoch 10, Batch    784, Loss  0.601165, Average Loss  0.602457, Time  0.221184
2021-09-21 21:49:59.969933 : Epoch 10, Batch    785, Loss  0.592512, Average Loss  0.602394, Time  0.221535
2021-09-21 21:50:01.458690 : Epoch 10, Batch    786, Loss  0.604863, Average Loss  0.602409, Time  0.221199
2021-09-21 21:50:02.923881 : Epoch 10, Batch    787, Loss  0.600485, Average Loss  0.602469, Time  0.221396
2021-09-21 21:50:02.950732 : Saving Model after 10-th Epoch.
2021-09-21 21:50:05.993608 : Epoch Finished.
2021-09-21 23:50:24.710697 : Building dataset train from orignial text documents
2021-09-21 23:53:15.991675 : Finish Loading dataset train
2021-09-21 23:53:16.035548 : Data Shuffle
2021-09-21 23:53:16.077542 : Start Shuffling
2021-09-21 23:53:17.186095 : Finish Shuffling
2021-09-21 23:53:17.273597 : Generate Batch
2021-09-21 23:53:17.621581 : Building dataset valid from orignial text documents
2021-09-21 23:53:24.840580 : Finish Loading dataset valid
2021-09-21 23:53:24.878545 : Data Shuffle
2021-09-21 23:53:24.919542 : Start Shuffling
2021-09-21 23:53:25.005571 : Finish Shuffling
2021-09-21 23:53:25.044559 : Generate Batch
2021-09-21 23:53:25.115558 : There are 1856 batches per epoch
2021-09-21 23:53:25.161545 : Batch Shuffled
2021-09-21 23:53:28.073597 : Epoch  1, Batch      1, Loss  1.922980, Average Loss  1.922980, Time  0.560055
2021-09-21 23:53:30.669697 : Epoch  1, Batch      2, Loss  1.928817, Average Loss  1.925899, Time  0.234259
2021-09-21 23:53:33.250679 : Epoch  1, Batch      3, Loss  1.927685, Average Loss  1.926494, Time  0.233584
2021-09-21 23:53:35.831779 : Epoch  1, Batch      4, Loss  1.922388, Average Loss  1.925468, Time  0.233584
2021-09-21 23:53:38.424738 : Epoch  1, Batch      5, Loss  1.916319, Average Loss  1.923638, Time  0.233449
2021-09-21 23:53:41.004083 : Epoch  1, Batch      6, Loss  1.914429, Average Loss  1.922103, Time  0.233475
2021-09-21 23:53:43.578727 : Epoch  1, Batch      7, Loss  1.907832, Average Loss  1.920064, Time  0.233298
2021-09-21 23:53:46.176016 : Epoch  1, Batch      8, Loss  1.905814, Average Loss  1.918283, Time  0.233833
2021-09-21 23:53:48.758888 : Epoch  1, Batch      9, Loss  1.896500, Average Loss  1.915863, Time  0.233316
2021-09-21 23:53:51.349911 : Epoch  1, Batch     10, Loss  1.890056, Average Loss  1.913282, Time  0.234117
2021-09-21 23:53:53.935854 : Epoch  1, Batch     11, Loss  1.881000, Average Loss  1.910347, Time  0.233526
2021-09-21 23:53:56.516733 : Epoch  1, Batch     12, Loss  1.858375, Average Loss  1.906016, Time  0.233717
2021-09-21 23:53:59.106193 : Epoch  1, Batch     13, Loss  1.858284, Average Loss  1.902345, Time  0.235104
2021-09-21 23:54:01.697265 : Epoch  1, Batch     14, Loss  1.848778, Average Loss  1.898518, Time  0.235702
2021-09-21 23:54:04.278492 : Epoch  1, Batch     15, Loss  1.833429, Average Loss  1.894179, Time  0.237335
2021-09-21 23:54:06.863076 : Epoch  1, Batch     16, Loss  1.819019, Average Loss  1.889482, Time  0.233473
2021-09-21 23:54:09.442376 : Epoch  1, Batch     17, Loss  1.811692, Average Loss  1.884906, Time  0.234784
2021-09-21 23:54:12.028933 : Epoch  1, Batch     18, Loss  1.806031, Average Loss  1.880524, Time  0.233661
2021-09-21 23:54:14.614832 : Epoch  1, Batch     19, Loss  1.781182, Average Loss  1.875295, Time  0.233651
2021-09-21 23:54:17.197699 : Epoch  1, Batch     20, Loss  1.788056, Average Loss  1.870933, Time  0.234649
2021-09-21 23:54:19.774933 : Epoch  1, Batch     21, Loss  1.774418, Average Loss  1.866337, Time  0.233335
2021-09-21 23:54:22.356688 : Epoch  1, Batch     22, Loss  1.756756, Average Loss  1.861356, Time  0.234118
2021-09-21 23:54:24.933877 : Epoch  1, Batch     23, Loss  1.743864, Average Loss  1.856248, Time  0.233386
2021-09-21 23:54:27.516821 : Epoch  1, Batch     24, Loss  1.727009, Average Loss  1.850863, Time  0.233483
2021-09-21 23:54:30.100852 : Epoch  1, Batch     25, Loss  1.717306, Average Loss  1.845521, Time  0.233637
2021-09-21 23:54:32.676853 : Epoch  1, Batch     26, Loss  1.711680, Average Loss  1.840373, Time  0.233707
2021-09-21 23:54:35.261871 : Epoch  1, Batch     27, Loss  1.717629, Average Loss  1.835827, Time  0.233620
2021-09-21 23:54:37.846886 : Epoch  1, Batch     28, Loss  1.704976, Average Loss  1.831154, Time  0.233566
2021-09-21 23:54:40.427861 : Epoch  1, Batch     29, Loss  1.703065, Average Loss  1.826737, Time  0.233732
2021-09-21 23:54:43.008855 : Epoch  1, Batch     30, Loss  1.709592, Average Loss  1.822832, Time  0.233524
2021-09-21 23:54:45.599713 : Epoch  1, Batch     31, Loss  1.707419, Average Loss  1.819109, Time  0.234060
2021-09-21 23:54:48.183898 : Epoch  1, Batch     32, Loss  1.705314, Average Loss  1.815553, Time  0.233814
2021-09-21 23:54:50.763109 : Epoch  1, Batch     33, Loss  1.707323, Average Loss  1.812273, Time  0.233345
2021-09-21 23:54:53.338332 : Epoch  1, Batch     34, Loss  1.691094, Average Loss  1.808709, Time  0.234132
2021-09-21 23:54:55.915057 : Epoch  1, Batch     35, Loss  1.679210, Average Loss  1.805009, Time  0.233240
2021-09-21 23:54:58.490965 : Epoch  1, Batch     36, Loss  1.680080, Average Loss  1.801539, Time  0.233504
2021-09-21 23:55:01.071954 : Epoch  1, Batch     37, Loss  1.679473, Average Loss  1.798240, Time  0.233546
2021-09-21 23:55:03.675745 : Epoch  1, Batch     38, Loss  1.680237, Average Loss  1.795135, Time  0.234961
2021-09-21 23:55:06.250817 : Epoch  1, Batch     39, Loss  1.674787, Average Loss  1.792049, Time  0.233395
2021-09-21 23:55:08.878774 : Epoch  1, Batch     40, Loss  1.689902, Average Loss  1.789495, Time  0.235541
2021-09-21 23:55:11.449790 : Epoch  1, Batch     41, Loss  1.676304, Average Loss  1.786734, Time  0.233794
2021-09-21 23:55:14.035970 : Epoch  1, Batch     42, Loss  1.677693, Average Loss  1.784138, Time  0.233917
2021-09-21 23:55:16.616868 : Epoch  1, Batch     43, Loss  1.675495, Average Loss  1.781611, Time  0.233709
2021-09-21 23:55:19.206960 : Epoch  1, Batch     44, Loss  1.671996, Average Loss  1.779120, Time  0.233848
2021-09-21 23:55:21.790914 : Epoch  1, Batch     45, Loss  1.674495, Average Loss  1.776795, Time  0.233891
2021-09-21 23:55:24.379511 : Epoch  1, Batch     46, Loss  1.670246, Average Loss  1.774479, Time  0.233557
2021-09-21 23:55:26.968016 : Epoch  1, Batch     47, Loss  1.673710, Average Loss  1.772335, Time  0.233643
2021-09-21 23:55:29.545714 : Epoch  1, Batch     48, Loss  1.669367, Average Loss  1.770190, Time  0.233746
2021-09-21 23:55:32.119866 : Epoch  1, Batch     49, Loss  1.652380, Average Loss  1.767785, Time  0.233463
2021-09-21 23:55:34.693884 : Epoch  1, Batch     50, Loss  1.664349, Average Loss  1.765717, Time  0.233537
2021-09-21 23:55:37.274899 : Epoch  1, Batch     51, Loss  1.665532, Average Loss  1.763752, Time  0.233338
2021-09-21 23:55:39.863728 : Epoch  1, Batch     52, Loss  1.670966, Average Loss  1.761968, Time  0.233922
2021-09-21 23:55:42.447100 : Epoch  1, Batch     53, Loss  1.662372, Average Loss  1.760089, Time  0.233461
2021-09-21 23:55:45.017026 : Epoch  1, Batch     54, Loss  1.671208, Average Loss  1.758443, Time  0.233665
2021-09-21 23:55:47.592719 : Epoch  1, Batch     55, Loss  1.667386, Average Loss  1.756787, Time  0.233304
2021-09-21 23:55:50.168694 : Epoch  1, Batch     56, Loss  1.672685, Average Loss  1.755285, Time  0.234102
2021-09-21 23:55:52.750706 : Epoch  1, Batch     57, Loss  1.665777, Average Loss  1.753715, Time  0.233809
2021-09-21 23:55:55.327964 : Epoch  1, Batch     58, Loss  1.669021, Average Loss  1.752255, Time  0.233681
2021-09-21 23:55:57.898872 : Epoch  1, Batch     59, Loss  1.662997, Average Loss  1.750742, Time  0.232926
2021-09-21 23:56:00.472895 : Epoch  1, Batch     60, Loss  1.655953, Average Loss  1.749162, Time  0.233829
2021-09-21 23:56:03.054828 : Epoch  1, Batch     61, Loss  1.670202, Average Loss  1.747868, Time  0.234136
2021-09-21 23:56:05.630921 : Epoch  1, Batch     62, Loss  1.652573, Average Loss  1.746331, Time  0.233491
2021-09-21 23:56:08.209939 : Epoch  1, Batch     63, Loss  1.671162, Average Loss  1.745138, Time  0.233757
2021-09-21 23:56:10.783241 : Epoch  1, Batch     64, Loss  1.665233, Average Loss  1.743889, Time  0.233766
2021-09-21 23:56:13.350839 : Epoch  1, Batch     65, Loss  1.652429, Average Loss  1.742482, Time  0.233526
2021-09-21 23:56:15.928796 : Epoch  1, Batch     66, Loss  1.666097, Average Loss  1.741325, Time  0.233535
2021-09-21 23:56:18.508269 : Epoch  1, Batch     67, Loss  1.648728, Average Loss  1.739943, Time  0.234665
2021-09-21 23:56:21.082697 : Epoch  1, Batch     68, Loss  1.642952, Average Loss  1.738516, Time  0.233565
2021-09-21 23:56:23.669730 : Epoch  1, Batch     69, Loss  1.657248, Average Loss  1.737338, Time  0.233807
2021-09-21 23:56:26.253954 : Epoch  1, Batch     70, Loss  1.651867, Average Loss  1.736117, Time  0.233699
2021-09-21 23:56:28.823993 : Epoch  1, Batch     71, Loss  1.653264, Average Loss  1.734951, Time  0.233436
2021-09-21 23:56:31.395761 : Epoch  1, Batch     72, Loss  1.647570, Average Loss  1.733737, Time  0.233339
2021-09-21 23:56:33.980966 : Epoch  1, Batch     73, Loss  1.649028, Average Loss  1.732576, Time  0.233103
2021-09-21 23:56:36.546352 : Epoch  1, Batch     74, Loss  1.665128, Average Loss  1.731665, Time  0.233794
2021-09-21 23:56:39.114912 : Epoch  1, Batch     75, Loss  1.652680, Average Loss  1.730612, Time  0.233285
2021-09-21 23:56:41.693822 : Epoch  1, Batch     76, Loss  1.640298, Average Loss  1.729424, Time  0.233495
2021-09-21 23:56:44.277099 : Epoch  1, Batch     77, Loss  1.653682, Average Loss  1.728440, Time  0.233048
2021-09-21 23:56:46.855824 : Epoch  1, Batch     78, Loss  1.637165, Average Loss  1.727270, Time  0.233443
2021-09-21 23:56:49.440746 : Epoch  1, Batch     79, Loss  1.646749, Average Loss  1.726250, Time  0.233056
2021-09-21 23:56:52.020719 : Epoch  1, Batch     80, Loss  1.641698, Average Loss  1.725194, Time  0.233510
2021-09-21 23:56:54.596854 : Epoch  1, Batch     81, Loss  1.650550, Average Loss  1.724272, Time  0.233153
2021-09-21 23:56:57.172724 : Epoch  1, Batch     82, Loss  1.650338, Average Loss  1.723370, Time  0.233399
2021-09-21 23:56:59.752697 : Epoch  1, Batch     83, Loss  1.623844, Average Loss  1.722171, Time  0.233695
2021-09-21 23:57:02.353735 : Epoch  1, Batch     84, Loss  1.652927, Average Loss  1.721347, Time  0.233675
2021-09-21 23:57:04.929860 : Epoch  1, Batch     85, Loss  1.633977, Average Loss  1.720319, Time  0.234635
2021-09-21 23:57:07.515798 : Epoch  1, Batch     86, Loss  1.635092, Average Loss  1.719328, Time  0.233525
2021-09-21 23:57:10.097967 : Epoch  1, Batch     87, Loss  1.618801, Average Loss  1.718173, Time  0.234199
2021-09-21 23:57:12.683749 : Epoch  1, Batch     88, Loss  1.626721, Average Loss  1.717133, Time  0.233875
2021-09-21 23:57:15.269844 : Epoch  1, Batch     89, Loss  1.624054, Average Loss  1.716088, Time  0.233579
2021-09-21 23:57:17.847702 : Epoch  1, Batch     90, Loss  1.616035, Average Loss  1.714976, Time  0.233852
2021-09-21 23:57:20.417713 : Epoch  1, Batch     91, Loss  1.625624, Average Loss  1.713994, Time  0.233181
2021-09-21 23:57:23.001863 : Epoch  1, Batch     92, Loss  1.603219, Average Loss  1.712790, Time  0.233627
2021-09-21 23:57:25.572848 : Epoch  1, Batch     93, Loss  1.583584, Average Loss  1.711401, Time  0.233206
2021-09-21 23:57:28.149955 : Epoch  1, Batch     94, Loss  1.599820, Average Loss  1.710214, Time  0.233593
2021-09-21 23:57:30.723694 : Epoch  1, Batch     95, Loss  1.583541, Average Loss  1.708880, Time  0.233236
2021-09-21 23:57:33.310834 : Epoch  1, Batch     96, Loss  1.549354, Average Loss  1.707218, Time  0.233978
2021-09-21 23:57:35.913732 : Epoch  1, Batch     97, Loss  1.557644, Average Loss  1.705676, Time  0.233232
2021-09-21 23:57:38.557001 : Epoch  1, Batch     98, Loss  1.553142, Average Loss  1.704120, Time  0.233349
2021-09-21 23:57:41.130773 : Epoch  1, Batch     99, Loss  1.539643, Average Loss  1.702459, Time  0.233215
2021-09-21 23:57:43.703865 : Epoch  1, Batch    100, Loss  1.519608, Average Loss  1.700630, Time  0.233427
2021-09-22 00:01:46.861708 : CheckPoint: Validation Loss  0.00051874, Best Loss  0.00051874
2021-09-22 00:01:46.898560 : Best Model Updated
2021-09-22 00:01:50.322053 : Epoch  1, Batch    101, Loss  1.515873, Average Loss  1.698801, Time  0.235369
2021-09-22 00:01:52.947842 : Epoch  1, Batch    102, Loss  1.509981, Average Loss  1.696950, Time  0.233689
2021-09-22 00:01:55.581783 : Epoch  1, Batch    103, Loss  1.489148, Average Loss  1.694932, Time  0.233507
2021-09-22 00:01:58.165990 : Epoch  1, Batch    104, Loss  1.464262, Average Loss  1.692714, Time  0.234325
2021-09-22 00:02:00.748877 : Epoch  1, Batch    105, Loss  1.465368, Average Loss  1.690549, Time  0.233134
2021-09-22 00:02:03.333935 : Epoch  1, Batch    106, Loss  1.429971, Average Loss  1.688091, Time  0.233397
2021-09-22 00:02:05.945696 : Epoch  1, Batch    107, Loss  1.423306, Average Loss  1.685616, Time  0.233081
2021-09-22 00:02:08.530146 : Epoch  1, Batch    108, Loss  1.435375, Average Loss  1.683299, Time  0.233542
2021-09-22 00:02:11.165848 : Epoch  1, Batch    109, Loss  1.414015, Average Loss  1.680828, Time  0.233383
2021-09-22 00:02:13.787717 : Epoch  1, Batch    110, Loss  1.397488, Average Loss  1.678253, Time  0.234078
2021-09-22 00:02:16.364901 : Epoch  1, Batch    111, Loss  1.421609, Average Loss  1.675941, Time  0.233162
2021-09-22 00:02:18.997979 : Epoch  1, Batch    112, Loss  1.403005, Average Loss  1.673504, Time  0.233431
2021-09-22 00:02:21.578977 : Epoch  1, Batch    113, Loss  1.396528, Average Loss  1.671052, Time  0.233139
2021-09-22 00:02:24.202104 : Epoch  1, Batch    114, Loss  1.389289, Average Loss  1.668581, Time  0.233582
2021-09-22 00:02:26.779931 : Epoch  1, Batch    115, Loss  1.366918, Average Loss  1.665958, Time  0.233161
2021-09-22 00:02:29.359812 : Epoch  1, Batch    116, Loss  1.379839, Average Loss  1.663491, Time  0.233423
2021-09-22 00:02:31.946742 : Epoch  1, Batch    117, Loss  1.347451, Average Loss  1.660790, Time  0.233131
2021-09-22 00:02:34.529075 : Epoch  1, Batch    118, Loss  1.374432, Average Loss  1.658363, Time  0.233227
2021-09-22 00:02:37.127921 : Epoch  1, Batch    119, Loss  1.354511, Average Loss  1.655810, Time  0.233099
2021-09-22 00:02:39.724331 : Epoch  1, Batch    120, Loss  1.368255, Average Loss  1.653414, Time  0.233649
2021-09-22 00:02:42.346171 : Epoch  1, Batch    121, Loss  1.352807, Average Loss  1.650929, Time  0.233303
2021-09-22 00:02:44.960072 : Epoch  1, Batch    122, Loss  1.347636, Average Loss  1.648443, Time  0.234355
2021-09-22 00:02:47.573731 : Epoch  1, Batch    123, Loss  1.336742, Average Loss  1.645909, Time  0.233328
2021-09-22 00:02:50.151642 : Epoch  1, Batch    124, Loss  1.343977, Average Loss  1.643474, Time  0.234317
2021-09-22 00:02:52.731807 : Epoch  1, Batch    125, Loss  1.317084, Average Loss  1.640863, Time  0.233679
2021-09-22 00:02:55.333898 : Epoch  1, Batch    126, Loss  1.312382, Average Loss  1.638256, Time  0.233501
2021-09-22 00:02:57.904841 : Epoch  1, Batch    127, Loss  1.319918, Average Loss  1.635749, Time  0.234257
2021-09-22 00:03:00.496745 : Epoch  1, Batch    128, Loss  1.311507, Average Loss  1.633216, Time  0.234109
2021-09-22 00:03:03.100990 : Epoch  1, Batch    129, Loss  1.319010, Average Loss  1.630781, Time  0.233565
2021-09-22 00:03:05.722689 : Epoch  1, Batch    130, Loss  1.288481, Average Loss  1.628147, Time  0.233693
2021-09-22 00:03:08.322858 : Epoch  1, Batch    131, Loss  1.304667, Average Loss  1.625678, Time  0.233842
2021-09-22 00:03:10.937124 : Epoch  1, Batch    132, Loss  1.292540, Average Loss  1.623154, Time  0.234513
2021-09-22 00:03:13.555883 : Epoch  1, Batch    133, Loss  1.285131, Average Loss  1.620613, Time  0.233368
2021-09-22 00:03:16.188857 : Epoch  1, Batch    134, Loss  1.277673, Average Loss  1.618054, Time  0.233605
2021-09-22 00:03:18.830414 : Epoch  1, Batch    135, Loss  1.265832, Average Loss  1.615445, Time  0.233291
2021-09-22 00:03:21.426753 : Epoch  1, Batch    136, Loss  1.229951, Average Loss  1.612610, Time  0.233359
2021-09-22 00:03:24.008836 : Epoch  1, Batch    137, Loss  1.246416, Average Loss  1.609937, Time  0.233664
2021-09-22 00:03:26.609690 : Epoch  1, Batch    138, Loss  1.270251, Average Loss  1.607476, Time  0.233623
2021-09-22 00:03:29.200992 : Epoch  1, Batch    139, Loss  1.220466, Average Loss  1.604691, Time  0.233363
2021-09-22 00:03:31.826072 : Epoch  1, Batch    140, Loss  1.246949, Average Loss  1.602136, Time  0.233518
2021-09-22 00:03:34.407819 : Epoch  1, Batch    141, Loss  1.208064, Average Loss  1.599341, Time  0.233248
2021-09-22 00:03:37.000721 : Epoch  1, Batch    142, Loss  1.201561, Average Loss  1.596540, Time  0.233747
2021-09-22 00:03:39.613162 : Epoch  1, Batch    143, Loss  1.214078, Average Loss  1.593865, Time  0.233365
2021-09-22 00:03:42.230843 : Epoch  1, Batch    144, Loss  1.203259, Average Loss  1.591153, Time  0.235569
2021-09-22 00:03:44.810669 : Epoch  1, Batch    145, Loss  1.187603, Average Loss  1.588370, Time  0.233407
2021-09-22 00:03:47.384806 : Epoch  1, Batch    146, Loss  1.194137, Average Loss  1.585669, Time  0.234392
2021-09-22 00:03:49.998734 : Epoch  1, Batch    147, Loss  1.197982, Average Loss  1.583032, Time  0.233498
2021-09-22 00:03:52.581999 : Epoch  1, Batch    148, Loss  1.192584, Average Loss  1.580394, Time  0.233769
2021-09-22 00:03:55.213925 : Epoch  1, Batch    149, Loss  1.170473, Average Loss  1.577643, Time  0.234055
2021-09-22 00:03:57.843701 : Epoch  1, Batch    150, Loss  1.181388, Average Loss  1.575001, Time  0.233740
2021-09-22 00:04:00.502689 : Epoch  1, Batch    151, Loss  1.155861, Average Loss  1.572225, Time  0.233557
2021-09-22 00:04:03.098103 : Epoch  1, Batch    152, Loss  1.169914, Average Loss  1.569579, Time  0.234714
2021-09-22 00:04:05.707695 : Epoch  1, Batch    153, Loss  1.171126, Average Loss  1.566974, Time  0.233441
2021-09-22 00:04:08.307781 : Epoch  1, Batch    154, Loss  1.161435, Average Loss  1.564341, Time  0.233441
2021-09-22 00:04:10.899757 : Epoch  1, Batch    155, Loss  1.159351, Average Loss  1.561728, Time  0.233495
2021-09-22 00:04:13.515835 : Epoch  1, Batch    156, Loss  1.140624, Average Loss  1.559029, Time  0.233756
2021-09-22 00:04:16.134693 : Epoch  1, Batch    157, Loss  1.136071, Average Loss  1.556335, Time  0.233357
2021-09-22 00:04:18.721321 : Epoch  1, Batch    158, Loss  1.133824, Average Loss  1.553661, Time  0.234120
2021-09-22 00:04:21.351743 : Epoch  1, Batch    159, Loss  1.140781, Average Loss  1.551064, Time  0.233413
2021-09-22 00:04:23.931687 : Epoch  1, Batch    160, Loss  1.117957, Average Loss  1.548357, Time  0.233440
2021-09-22 00:04:26.507902 : Epoch  1, Batch    161, Loss  1.090242, Average Loss  1.545512, Time  0.233208
2021-09-22 00:04:29.144876 : Epoch  1, Batch    162, Loss  1.121365, Average Loss  1.542893, Time  0.233659
2021-09-22 00:04:31.782700 : Epoch  1, Batch    163, Loss  1.124112, Average Loss  1.540324, Time  0.233255
2021-09-22 00:04:34.386886 : Epoch  1, Batch    164, Loss  1.111401, Average Loss  1.537709, Time  0.233522
2021-09-22 00:04:37.023024 : Epoch  1, Batch    165, Loss  1.080760, Average Loss  1.534939, Time  0.247418
2021-09-22 00:04:39.599420 : Epoch  1, Batch    166, Loss  1.103324, Average Loss  1.532339, Time  0.234290
2021-09-22 00:04:42.202596 : Epoch  1, Batch    167, Loss  1.114470, Average Loss  1.529837, Time  0.233359
2021-09-22 00:04:44.787941 : Epoch  1, Batch    168, Loss  1.079666, Average Loss  1.527157, Time  0.233670
2021-09-22 00:04:47.397975 : Epoch  1, Batch    169, Loss  1.105742, Average Loss  1.524664, Time  0.234578
2021-09-22 00:04:50.006746 : Epoch  1, Batch    170, Loss  1.098711, Average Loss  1.522158, Time  0.233616
2021-09-22 00:04:52.583946 : Epoch  1, Batch    171, Loss  1.100384, Average Loss  1.519692, Time  0.233780
2021-09-22 00:04:55.183806 : Epoch  1, Batch    172, Loss  1.097819, Average Loss  1.517239, Time  0.234257
2021-09-22 00:04:57.761875 : Epoch  1, Batch    173, Loss  1.098332, Average Loss  1.514818, Time  0.233623
2021-09-22 00:05:00.353768 : Epoch  1, Batch    174, Loss  1.093856, Average Loss  1.512398, Time  0.233847
2021-09-22 00:05:02.941904 : Epoch  1, Batch    175, Loss  1.096096, Average Loss  1.510019, Time  0.233938
2021-09-22 00:05:05.554720 : Epoch  1, Batch    176, Loss  1.092096, Average Loss  1.507645, Time  0.233692
2021-09-22 00:05:08.168936 : Epoch  1, Batch    177, Loss  1.101067, Average Loss  1.505348, Time  0.233311
2021-09-22 00:05:10.849865 : Epoch  1, Batch    178, Loss  1.064355, Average Loss  1.502870, Time  0.233593
2021-09-22 00:05:13.450882 : Epoch  1, Batch    179, Loss  1.110455, Average Loss  1.500678, Time  0.233474
2021-09-22 00:05:16.028931 : Epoch  1, Batch    180, Loss  1.072983, Average Loss  1.498302, Time  0.233461
2021-09-22 00:05:18.633750 : Epoch  1, Batch    181, Loss  1.053276, Average Loss  1.495843, Time  0.233434
2021-09-22 00:05:21.221892 : Epoch  1, Batch    182, Loss  1.065083, Average Loss  1.493476, Time  0.233594
2021-09-22 00:05:23.833980 : Epoch  1, Batch    183, Loss  1.080864, Average Loss  1.491222, Time  0.233472
2021-09-22 00:05:26.459764 : Epoch  1, Batch    184, Loss  1.071921, Average Loss  1.488943, Time  0.233462
2021-09-22 00:05:29.046704 : Epoch  1, Batch    185, Loss  1.078613, Average Loss  1.486725, Time  0.233108
2021-09-22 00:05:31.630019 : Epoch  1, Batch    186, Loss  1.046494, Average Loss  1.484358, Time  0.233849
2021-09-22 00:05:34.227910 : Epoch  1, Batch    187, Loss  1.064406, Average Loss  1.482112, Time  0.233261
2021-09-22 00:05:36.847921 : Epoch  1, Batch    188, Loss  1.068790, Average Loss  1.479914, Time  0.235154
2021-09-22 00:05:39.459763 : Epoch  1, Batch    189, Loss  1.083999, Average Loss  1.477819, Time  0.234545
2021-09-22 00:05:42.073058 : Epoch  1, Batch    190, Loss  1.062184, Average Loss  1.475631, Time  0.234059
2021-09-22 00:05:44.677014 : Epoch  1, Batch    191, Loss  1.053696, Average Loss  1.473422, Time  0.233580
2021-09-22 00:05:47.263960 : Epoch  1, Batch    192, Loss  1.042423, Average Loss  1.471178, Time  0.233711
2021-09-22 00:05:49.855922 : Epoch  1, Batch    193, Loss  1.059260, Average Loss  1.469043, Time  0.234588
2021-09-22 00:05:52.443683 : Epoch  1, Batch    194, Loss  1.060409, Average Loss  1.466937, Time  0.233820
2021-09-22 00:05:55.079891 : Epoch  1, Batch    195, Loss  1.045383, Average Loss  1.464775, Time  0.234465
2021-09-22 00:05:57.682724 : Epoch  1, Batch    196, Loss  1.021944, Average Loss  1.462516, Time  0.233858
2021-09-22 00:06:00.271963 : Epoch  1, Batch    197, Loss  1.057720, Average Loss  1.460461, Time  0.233324
2021-09-22 00:06:02.876823 : Epoch  1, Batch    198, Loss  1.068463, Average Loss  1.458481, Time  0.234173
2021-09-22 00:06:05.513753 : Epoch  1, Batch    199, Loss  1.045620, Average Loss  1.456407, Time  0.233188
2021-09-22 00:06:08.096836 : Epoch  1, Batch    200, Loss  1.034891, Average Loss  1.454299, Time  0.233815
2021-09-22 00:10:11.598684 : CheckPoint: Validation Loss  0.00034308, Best Loss  0.00034308
2021-09-22 00:10:11.636552 : Best Model Updated
2021-09-22 00:10:14.785734 : Epoch  1, Batch    201, Loss  1.033170, Average Loss  1.449850, Time  0.234729
2021-09-22 00:10:17.375860 : Epoch  1, Batch    202, Loss  1.023695, Average Loss  1.445324, Time  0.234262
2021-09-22 00:10:19.960872 : Epoch  1, Batch    203, Loss  1.025778, Average Loss  1.440815, Time  0.233833
2021-09-22 00:10:22.551368 : Epoch  1, Batch    204, Loss  1.028178, Average Loss  1.436344, Time  0.233948
2021-09-22 00:10:25.133168 : Epoch  1, Batch    205, Loss  1.043950, Average Loss  1.431982, Time  0.233390
2021-09-22 00:10:27.761914 : Epoch  1, Batch    206, Loss  1.041445, Average Loss  1.427617, Time  0.233716
2021-09-22 00:10:30.355891 : Epoch  1, Batch    207, Loss  1.018925, Average Loss  1.423172, Time  0.234011
2021-09-22 00:10:32.935840 : Epoch  1, Batch    208, Loss  1.040629, Average Loss  1.418846, Time  0.235027
2021-09-22 00:10:35.521794 : Epoch  1, Batch    209, Loss  1.041241, Average Loss  1.414570, Time  0.233994
2021-09-22 00:10:38.111100 : Epoch  1, Batch    210, Loss  1.014866, Average Loss  1.410194, Time  0.234398
2021-09-22 00:10:40.695233 : Epoch  1, Batch    211, Loss  1.030313, Average Loss  1.405941, Time  0.233907
2021-09-22 00:10:43.286247 : Epoch  1, Batch    212, Loss  1.022848, Average Loss  1.401763, Time  0.234300
2021-09-22 00:10:45.863977 : Epoch  1, Batch    213, Loss  1.005111, Average Loss  1.397497, Time  0.233707
2021-09-22 00:10:48.453591 : Epoch  1, Batch    214, Loss  1.020158, Average Loss  1.393354, Time  0.233863
2021-09-22 00:10:51.046778 : Epoch  1, Batch    215, Loss  1.007385, Average Loss  1.389224, Time  0.233660
2021-09-22 00:10:53.638199 : Epoch  1, Batch    216, Loss  1.038445, Average Loss  1.385321, Time  0.233905
2021-09-22 00:10:56.229811 : Epoch  1, Batch    217, Loss  1.000760, Average Loss  1.381266, Time  0.235288
2021-09-22 00:10:58.810031 : Epoch  1, Batch    218, Loss  1.003118, Average Loss  1.377252, Time  0.234718
2021-09-22 00:11:01.388100 : Epoch  1, Batch    219, Loss  0.995146, Average Loss  1.373322, Time  0.234511
2021-09-22 00:11:03.974703 : Epoch  1, Batch    220, Loss  0.994636, Average Loss  1.369355, Time  0.234194
2021-09-22 00:11:06.563705 : Epoch  1, Batch    221, Loss  1.024678, Average Loss  1.365606, Time  0.233765
2021-09-22 00:11:09.156057 : Epoch  1, Batch    222, Loss  1.000453, Average Loss  1.361824, Time  0.234213
2021-09-22 00:11:11.763898 : Epoch  1, Batch    223, Loss  1.019912, Average Loss  1.358205, Time  0.233582
2021-09-22 00:11:14.344798 : Epoch  1, Batch    224, Loss  0.980797, Average Loss  1.354474, Time  0.234199
2021-09-22 00:11:16.925861 : Epoch  1, Batch    225, Loss  1.000832, Average Loss  1.350891, Time  0.233559
2021-09-22 00:11:19.512874 : Epoch  1, Batch    226, Loss  0.970201, Average Loss  1.347184, Time  0.233734
2021-09-22 00:11:22.097947 : Epoch  1, Batch    227, Loss  0.994616, Average Loss  1.343569, Time  0.233646
2021-09-22 00:11:24.669748 : Epoch  1, Batch    228, Loss  0.993287, Average Loss  1.340010, Time  0.234517
2021-09-22 00:11:27.244826 : Epoch  1, Batch    229, Loss  0.996243, Average Loss  1.336476, Time  0.233555
2021-09-22 00:11:29.829837 : Epoch  1, Batch    230, Loss  0.981098, Average Loss  1.332834, Time  0.233967
2021-09-22 00:11:32.425370 : Epoch  1, Batch    231, Loss  0.971298, Average Loss  1.329153, Time  0.234387
2021-09-22 00:11:35.063286 : Epoch  1, Batch    232, Loss  0.996509, Average Loss  1.325609, Time  0.234054
2021-09-22 00:11:37.683747 : Epoch  1, Batch    233, Loss  0.974940, Average Loss  1.321947, Time  0.234405
2021-09-22 00:11:40.301779 : Epoch  1, Batch    234, Loss  0.978799, Average Loss  1.318386, Time  0.234374
2021-09-22 00:11:42.901938 : Epoch  1, Batch    235, Loss  0.979607, Average Loss  1.314888, Time  0.234132
2021-09-22 00:11:45.532075 : Epoch  1, Batch    236, Loss  0.978082, Average Loss  1.311378, Time  0.233831
2021-09-22 00:11:46.803714 : Epoch  1, Batch    237, Loss  0.941505, Average Loss  1.307688, Time  0.137328
2021-09-22 00:11:49.400087 : Epoch  1, Batch    238, Loss  0.992165, Average Loss  1.304247, Time  0.233808
2021-09-22 00:11:52.031729 : Epoch  1, Batch    239, Loss  0.974042, Average Loss  1.300744, Time  0.235354
2021-09-22 00:11:54.620743 : Epoch  1, Batch    240, Loss  0.972972, Average Loss  1.297159, Time  0.237788
2021-09-22 00:11:57.212716 : Epoch  1, Batch    241, Loss  0.981890, Average Loss  1.293687, Time  0.234024
2021-09-22 00:11:59.802751 : Epoch  1, Batch    242, Loss  0.942557, Average Loss  1.290011, Time  0.233558
2021-09-22 00:12:02.399716 : Epoch  1, Batch    243, Loss  0.976612, Average Loss  1.286517, Time  0.234537
2021-09-22 00:12:04.991773 : Epoch  1, Batch    244, Loss  0.958827, Average Loss  1.282951, Time  0.233741
2021-09-22 00:12:07.582705 : Epoch  1, Batch    245, Loss  0.994397, Average Loss  1.279551, Time  0.234589
2021-09-22 00:12:10.172051 : Epoch  1, Batch    246, Loss  0.976165, Average Loss  1.276080, Time  0.233944
2021-09-22 00:12:12.768746 : Epoch  1, Batch    247, Loss  0.963569, Average Loss  1.272530, Time  0.233996
2021-09-22 00:12:15.346757 : Epoch  1, Batch    248, Loss  0.975073, Average Loss  1.269058, Time  0.233524
2021-09-22 00:12:17.930714 : Epoch  1, Batch    249, Loss  0.955987, Average Loss  1.265576, Time  0.234253
2021-09-22 00:12:20.520090 : Epoch  1, Batch    250, Loss  0.968794, Average Loss  1.262098, Time  0.233871
2021-09-22 00:12:23.101190 : Epoch  1, Batch    251, Loss  0.958116, Average Loss  1.258561, Time  0.233785
2021-09-22 00:12:25.682875 : Epoch  1, Batch    252, Loss  0.936642, Average Loss  1.254890, Time  0.234084
2021-09-22 00:12:28.258728 : Epoch  1, Batch    253, Loss  0.976645, Average Loss  1.251461, Time  0.233938
2021-09-22 00:12:30.844001 : Epoch  1, Batch    254, Loss  0.974433, Average Loss  1.247977, Time  0.233633
2021-09-22 00:12:33.443707 : Epoch  1, Batch    255, Loss  0.956299, Average Loss  1.244422, Time  0.233584
2021-09-22 00:12:36.024890 : Epoch  1, Batch    256, Loss  0.951704, Average Loss  1.240817, Time  0.234498
2021-09-22 00:12:38.606766 : Epoch  1, Batch    257, Loss  0.981092, Average Loss  1.237393, Time  0.233778
2021-09-22 00:12:41.219885 : Epoch  1, Batch    258, Loss  0.968191, Average Loss  1.233889, Time  0.235220
2021-09-22 00:12:43.801822 : Epoch  1, Batch    259, Loss  0.943530, Average Loss  1.230292, Time  0.234054
2021-09-22 00:12:46.394220 : Epoch  1, Batch    260, Loss  0.947721, Average Loss  1.226751, Time  0.234273
2021-09-22 00:12:48.978063 : Epoch  1, Batch    261, Loss  0.950963, Average Loss  1.223154, Time  0.234469
2021-09-22 00:12:51.562852 : Epoch  1, Batch    262, Loss  0.964458, Average Loss  1.219714, Time  0.233474
2021-09-22 00:12:54.147090 : Epoch  1, Batch    263, Loss  0.937099, Average Loss  1.216044, Time  0.233819
2021-09-22 00:12:56.726147 : Epoch  1, Batch    264, Loss  0.963911, Average Loss  1.212537, Time  0.234630
2021-09-22 00:12:59.309085 : Epoch  1, Batch    265, Loss  0.938454, Average Loss  1.208967, Time  0.233998
2021-09-22 00:13:01.917716 : Epoch  1, Batch    266, Loss  0.929733, Average Loss  1.205285, Time  0.235192
2021-09-22 00:13:04.496776 : Epoch  1, Batch    267, Loss  0.954373, Average Loss  1.201814, Time  0.233992
2021-09-22 00:13:07.080854 : Epoch  1, Batch    268, Loss  0.948298, Average Loss  1.198340, Time  0.234663
2021-09-22 00:13:09.653204 : Epoch  1, Batch    269, Loss  0.936958, Average Loss  1.194739, Time  0.233753
2021-09-22 00:13:12.219221 : Epoch  1, Batch    270, Loss  0.957805, Average Loss  1.191268, Time  0.233525
2021-09-22 00:13:14.788959 : Epoch  1, Batch    271, Loss  0.940181, Average Loss  1.187703, Time  0.234086
2021-09-22 00:13:17.363776 : Epoch  1, Batch    272, Loss  0.969415, Average Loss  1.184312, Time  0.233920
2021-09-22 00:13:19.939887 : Epoch  1, Batch    273, Loss  0.936944, Average Loss  1.180752, Time  0.233706
2021-09-22 00:13:22.510007 : Epoch  1, Batch    274, Loss  0.955037, Average Loss  1.177201, Time  0.233759
2021-09-22 00:13:25.084075 : Epoch  1, Batch    275, Loss  0.961667, Average Loss  1.173746, Time  0.233976
2021-09-22 00:13:27.666058 : Epoch  1, Batch    276, Loss  0.947922, Average Loss  1.170284, Time  0.233982
2021-09-22 00:13:30.246440 : Epoch  1, Batch    277, Loss  0.931324, Average Loss  1.166673, Time  0.233701
2021-09-22 00:13:32.826114 : Epoch  1, Batch    278, Loss  0.941128, Average Loss  1.163192, Time  0.233675
2021-09-22 00:13:35.406917 : Epoch  1, Batch    279, Loss  0.981625, Average Loss  1.159867, Time  0.235112
2021-09-22 00:13:37.980906 : Epoch  1, Batch    280, Loss  0.932608, Average Loss  1.156321, Time  0.233879
2021-09-22 00:13:40.831379 : Epoch  1, Batch    281, Loss  0.924522, Average Loss  1.152691, Time  0.234510
2021-09-22 00:13:43.406051 : Epoch  1, Batch    282, Loss  0.939549, Average Loss  1.149137, Time  0.234347
2021-09-22 00:13:45.986977 : Epoch  1, Batch    283, Loss  0.941877, Average Loss  1.145728, Time  0.234390
2021-09-22 00:13:48.579857 : Epoch  1, Batch    284, Loss  0.934721, Average Loss  1.142136, Time  0.233915
2021-09-22 00:13:51.237270 : Epoch  1, Batch    285, Loss  0.937798, Average Loss  1.138656, Time  0.234374
2021-09-22 00:13:53.818747 : Epoch  1, Batch    286, Loss  0.925851, Average Loss  1.135109, Time  0.234514
2021-09-22 00:13:56.443278 : Epoch  1, Batch    287, Loss  0.952367, Average Loss  1.131777, Time  0.233966
2021-09-22 00:13:59.024902 : Epoch  1, Batch    288, Loss  0.942542, Average Loss  1.128356, Time  0.233857
2021-09-22 00:14:01.603972 : Epoch  1, Batch    289, Loss  0.940978, Average Loss  1.124941, Time  0.234131
2021-09-22 00:14:04.203228 : Epoch  1, Batch    290, Loss  0.938356, Average Loss  1.121553, Time  0.233711
2021-09-22 00:14:06.788998 : Epoch  1, Batch    291, Loss  0.958772, Average Loss  1.118218, Time  0.234795
2021-09-22 00:14:09.362820 : Epoch  1, Batch    292, Loss  0.934724, Average Loss  1.114876, Time  0.233601
2021-09-22 00:14:11.929896 : Epoch  1, Batch    293, Loss  0.932569, Average Loss  1.111621, Time  0.234111
2021-09-22 00:14:14.540176 : Epoch  1, Batch    294, Loss  0.934174, Average Loss  1.108292, Time  0.235238
2021-09-22 00:14:17.119093 : Epoch  1, Batch    295, Loss  0.937289, Average Loss  1.105061, Time  0.233665
2021-09-22 00:14:19.709201 : Epoch  1, Batch    296, Loss  0.922221, Average Loss  1.101926, Time  0.233942
2021-09-22 00:14:22.294099 : Epoch  1, Batch    297, Loss  0.965003, Average Loss  1.098962, Time  0.233821
2021-09-22 00:14:24.865869 : Epoch  1, Batch    298, Loss  0.951555, Average Loss  1.095954, Time  0.233902
2021-09-22 00:14:27.443004 : Epoch  1, Batch    299, Loss  0.921853, Average Loss  1.092865, Time  0.234324
2021-09-22 00:14:30.021923 : Epoch  1, Batch    300, Loss  0.948879, Average Loss  1.090012, Time  0.233681
2021-09-22 00:18:34.509703 : CheckPoint: Validation Loss  0.00032122, Best Loss  0.00032122
2021-09-22 00:18:34.549556 : Best Model Updated
2021-09-22 00:18:37.784014 : Epoch  1, Batch    301, Loss  0.919913, Average Loss  1.087032, Time  0.256912
2021-09-22 00:18:40.407795 : Epoch  1, Batch    302, Loss  0.946543, Average Loss  1.084215, Time  0.233796
2021-09-22 00:18:43.040828 : Epoch  1, Batch    303, Loss  0.913868, Average Loss  1.081338, Time  0.234090
2021-09-22 00:18:45.666359 : Epoch  1, Batch    304, Loss  0.944809, Average Loss  1.078741, Time  0.233678
2021-09-22 00:18:48.293090 : Epoch  1, Batch    305, Loss  0.952424, Average Loss  1.076176, Time  0.233885
2021-09-22 00:18:50.914894 : Epoch  1, Batch    306, Loss  0.940418, Average Loss  1.073729, Time  0.233871
2021-09-22 00:18:53.541932 : Epoch  1, Batch    307, Loss  0.931737, Average Loss  1.071271, Time  0.233866
2021-09-22 00:18:56.166096 : Epoch  1, Batch    308, Loss  0.932784, Average Loss  1.068758, Time  0.233809
2021-09-22 00:18:58.792706 : Epoch  1, Batch    309, Loss  0.902149, Average Loss  1.066199, Time  0.233901
2021-09-22 00:19:01.425945 : Epoch  1, Batch    310, Loss  0.937929, Average Loss  1.063901, Time  0.234146
2021-09-22 00:19:04.054712 : Epoch  1, Batch    311, Loss  0.929330, Average Loss  1.061439, Time  0.234130
2021-09-22 00:19:06.676047 : Epoch  1, Batch    312, Loss  0.932534, Average Loss  1.059087, Time  0.234257
2021-09-22 00:19:09.302065 : Epoch  1, Batch    313, Loss  0.916690, Average Loss  1.056688, Time  0.233946
2021-09-22 00:19:11.931814 : Epoch  1, Batch    314, Loss  0.944805, Average Loss  1.054465, Time  0.233209
2021-09-22 00:19:14.553259 : Epoch  1, Batch    315, Loss  0.940778, Average Loss  1.052335, Time  0.233642
2021-09-22 00:19:17.175483 : Epoch  1, Batch    316, Loss  0.918488, Average Loss  1.050028, Time  0.233966
2021-09-22 00:19:19.797264 : Epoch  1, Batch    317, Loss  0.921038, Average Loss  1.047896, Time  0.234931
2021-09-22 00:19:22.420742 : Epoch  1, Batch    318, Loss  0.924367, Average Loss  1.045646, Time  0.233783
2021-09-22 00:19:25.036965 : Epoch  1, Batch    319, Loss  0.916992, Average Loss  1.043458, Time  0.234358
2021-09-22 00:19:27.657726 : Epoch  1, Batch    320, Loss  0.923640, Average Loss  1.041235, Time  0.234284
2021-09-22 00:19:30.289856 : Epoch  1, Batch    321, Loss  0.947256, Average Loss  1.039207, Time  0.233967
2021-09-22 00:19:32.915796 : Epoch  1, Batch    322, Loss  0.941489, Average Loss  1.037176, Time  0.233829
2021-09-22 00:19:35.547819 : Epoch  1, Batch    323, Loss  0.938785, Average Loss  1.035187, Time  0.234081
2021-09-22 00:19:38.175964 : Epoch  1, Batch    324, Loss  0.905579, Average Loss  1.032995, Time  0.234104
2021-09-22 00:19:40.820054 : Epoch  1, Batch    325, Loss  0.918947, Average Loss  1.031004, Time  0.233672
2021-09-22 00:19:43.469729 : Epoch  1, Batch    326, Loss  0.922376, Average Loss  1.029054, Time  0.233977
2021-09-22 00:19:46.094243 : Epoch  1, Batch    327, Loss  0.923670, Average Loss  1.027073, Time  0.233849
2021-09-22 00:19:48.709927 : Epoch  1, Batch    328, Loss  0.942394, Average Loss  1.025227, Time  0.233594
2021-09-22 00:19:51.344009 : Epoch  1, Batch    329, Loss  0.930373, Average Loss  1.023284, Time  0.234240
2021-09-22 00:19:53.967083 : Epoch  1, Batch    330, Loss  0.926430, Average Loss  1.021474, Time  0.233754
2021-09-22 00:19:56.587593 : Epoch  1, Batch    331, Loss  0.935134, Average Loss  1.019626, Time  0.234280
2021-09-22 00:19:59.203073 : Epoch  1, Batch    332, Loss  0.915521, Average Loss  1.017741, Time  0.233243
2021-09-22 00:20:01.825248 : Epoch  1, Batch    333, Loss  0.928138, Average Loss  1.015956, Time  0.233947
2021-09-22 00:20:04.445207 : Epoch  1, Batch    334, Loss  0.931745, Average Loss  1.014226, Time  0.233395
2021-09-22 00:20:07.066046 : Epoch  1, Batch    335, Loss  0.921824, Average Loss  1.012506, Time  0.233905
2021-09-22 00:20:09.702195 : Epoch  1, Batch    336, Loss  0.921161, Average Loss  1.010962, Time  0.233602
2021-09-22 00:20:12.321709 : Epoch  1, Batch    337, Loss  0.923676, Average Loss  1.009349, Time  0.233902
2021-09-22 00:20:14.971975 : Epoch  1, Batch    338, Loss  0.918021, Average Loss  1.007587, Time  0.241603
2021-09-22 00:20:17.604986 : Epoch  1, Batch    339, Loss  0.911094, Average Loss  1.006041, Time  0.233823
2021-09-22 00:20:20.237087 : Epoch  1, Batch    340, Loss  0.913350, Average Loss  1.004373, Time  0.234624
2021-09-22 00:20:22.861687 : Epoch  1, Batch    341, Loss  0.923195, Average Loss  1.002948, Time  0.233777
2021-09-22 00:20:25.494795 : Epoch  1, Batch    342, Loss  0.904575, Average Loss  1.001463, Time  0.234203
2021-09-22 00:20:28.120942 : Epoch  1, Batch    343, Loss  0.905116, Average Loss  0.999919, Time  0.234312
2021-09-22 00:20:30.745018 : Epoch  1, Batch    344, Loss  0.893389, Average Loss  0.998369, Time  0.233692
2021-09-22 00:20:33.369018 : Epoch  1, Batch    345, Loss  0.910312, Average Loss  0.996983, Time  0.233708
2021-09-22 00:20:36.000841 : Epoch  1, Batch    346, Loss  0.906842, Average Loss  0.995546, Time  0.234200
2021-09-22 00:20:38.625913 : Epoch  1, Batch    347, Loss  0.926480, Average Loss  0.994189, Time  0.233741
2021-09-22 00:20:41.244731 : Epoch  1, Batch    348, Loss  0.962266, Average Loss  0.993037, Time  0.233667
2021-09-22 00:20:43.875740 : Epoch  1, Batch    349, Loss  0.916150, Average Loss  0.991766, Time  0.233858
2021-09-22 00:20:46.529951 : Epoch  1, Batch    350, Loss  0.917821, Average Loss  0.990448, Time  0.233654
2021-09-22 00:20:49.146198 : Epoch  1, Batch    351, Loss  0.921174, Average Loss  0.989274, Time  0.233603
2021-09-22 00:20:51.779945 : Epoch  1, Batch    352, Loss  0.924414, Average Loss  0.988047, Time  0.233650
2021-09-22 00:20:54.405431 : Epoch  1, Batch    353, Loss  0.932709, Average Loss  0.986855, Time  0.234580
2021-09-22 00:20:57.028956 : Epoch  1, Batch    354, Loss  0.913223, Average Loss  0.985614, Time  0.234452
2021-09-22 00:20:59.685324 : Epoch  1, Batch    355, Loss  0.935907, Average Loss  0.984496, Time  0.235462
2021-09-22 00:21:02.310450 : Epoch  1, Batch    356, Loss  0.921360, Average Loss  0.983400, Time  0.234456
2021-09-22 00:21:04.945954 : Epoch  1, Batch    357, Loss  0.920900, Average Loss  0.982324, Time  0.234252
2021-09-22 00:21:07.561888 : Epoch  1, Batch    358, Loss  0.906075, Average Loss  0.981186, Time  0.233332
2021-09-22 00:21:10.186758 : Epoch  1, Batch    359, Loss  0.934189, Average Loss  0.980153, Time  0.237504
2021-09-22 00:21:12.827744 : Epoch  1, Batch    360, Loss  0.927155, Average Loss  0.979199, Time  0.233960
2021-09-22 00:21:15.458854 : Epoch  1, Batch    361, Loss  0.914704, Average Loss  0.978321, Time  0.234423
2021-09-22 00:21:18.100752 : Epoch  1, Batch    362, Loss  0.919335, Average Loss  0.977311, Time  0.234262
2021-09-22 00:21:20.748081 : Epoch  1, Batch    363, Loss  0.914875, Average Loss  0.976265, Time  0.235077
2021-09-22 00:21:23.385703 : Epoch  1, Batch    364, Loss  0.902822, Average Loss  0.975222, Time  0.234232
2021-09-22 00:21:26.014922 : Epoch  1, Batch    365, Loss  0.902209, Average Loss  0.974329, Time  0.235555
2021-09-22 00:21:28.759422 : Epoch  1, Batch    366, Loss  0.920041, Average Loss  0.973412, Time  0.234442
2021-09-22 00:21:31.383033 : Epoch  1, Batch    367, Loss  0.906335, Average Loss  0.972372, Time  0.234137
2021-09-22 00:21:34.005700 : Epoch  1, Batch    368, Loss  0.914896, Average Loss  0.971548, Time  0.233994
2021-09-22 00:21:36.625922 : Epoch  1, Batch    369, Loss  0.915067, Average Loss  0.970595, Time  0.233910
2021-09-22 00:21:39.254065 : Epoch  1, Batch    370, Loss  0.905243, Average Loss  0.969627, Time  0.233907
2021-09-22 00:21:41.883988 : Epoch  1, Batch    371, Loss  0.894844, Average Loss  0.968600, Time  0.233916
2021-09-22 00:21:44.498705 : Epoch  1, Batch    372, Loss  0.911255, Average Loss  0.967667, Time  0.233651
2021-09-22 00:21:47.128720 : Epoch  1, Batch    373, Loss  0.917637, Average Loss  0.966763, Time  0.235240
2021-09-22 00:21:49.762056 : Epoch  1, Batch    374, Loss  0.941289, Average Loss  0.966000, Time  0.233691
2021-09-22 00:21:52.388046 : Epoch  1, Batch    375, Loss  0.887637, Average Loss  0.964958, Time  0.234156
2021-09-22 00:21:55.013257 : Epoch  1, Batch    376, Loss  0.880533, Average Loss  0.963900, Time  0.233516
2021-09-22 00:21:57.631099 : Epoch  1, Batch    377, Loss  0.936532, Average Loss  0.963078, Time  0.233899
2021-09-22 00:22:00.259182 : Epoch  1, Batch    378, Loss  0.908270, Average Loss  0.962297, Time  0.233757
2021-09-22 00:22:02.905223 : Epoch  1, Batch    379, Loss  0.920504, Average Loss  0.961347, Time  0.233898
2021-09-22 00:22:05.572117 : Epoch  1, Batch    380, Loss  0.930767, Average Loss  0.960636, Time  0.248134
2021-09-22 00:22:08.191986 : Epoch  1, Batch    381, Loss  0.903216, Average Loss  0.959886, Time  0.233832
2021-09-22 00:22:10.841308 : Epoch  1, Batch    382, Loss  0.918171, Average Loss  0.959151, Time  0.233658
2021-09-22 00:22:13.483790 : Epoch  1, Batch    383, Loss  0.913877, Average Loss  0.958317, Time  0.233885
2021-09-22 00:22:16.099707 : Epoch  1, Batch    384, Loss  0.919122, Average Loss  0.957553, Time  0.233842
2021-09-22 00:22:18.749711 : Epoch  1, Batch    385, Loss  0.908226, Average Loss  0.956701, Time  0.233811
2021-09-22 00:22:21.408758 : Epoch  1, Batch    386, Loss  0.905287, Average Loss  0.955995, Time  0.234213
2021-09-22 00:22:24.059815 : Epoch  1, Batch    387, Loss  0.897479, Average Loss  0.955160, Time  0.234985
2021-09-22 00:22:26.686999 : Epoch  1, Batch    388, Loss  0.912127, Average Loss  0.954377, Time  0.233857
2021-09-22 00:22:29.338076 : Epoch  1, Batch    389, Loss  0.902628, Average Loss  0.953470, Time  0.234448
2021-09-22 00:22:31.989044 : Epoch  1, Batch    390, Loss  0.897284, Average Loss  0.952645, Time  0.234086
2021-09-22 00:22:34.667770 : Epoch  1, Batch    391, Loss  0.914873, Average Loss  0.951951, Time  0.233943
2021-09-22 00:22:37.325018 : Epoch  1, Batch    392, Loss  0.905023, Average Loss  0.951264, Time  0.233737
2021-09-22 00:22:39.961818 : Epoch  1, Batch    393, Loss  0.929979, Average Loss  0.950618, Time  0.235023
2021-09-22 00:22:42.592801 : Epoch  1, Batch    394, Loss  0.916102, Average Loss  0.949896, Time  0.233881
2021-09-22 00:22:45.234834 : Epoch  1, Batch    395, Loss  0.898568, Average Loss  0.949162, Time  0.233910
2021-09-22 00:22:47.866027 : Epoch  1, Batch    396, Loss  0.918944, Average Loss  0.948647, Time  0.233795
2021-09-22 00:22:50.522331 : Epoch  1, Batch    397, Loss  0.889023, Average Loss  0.947804, Time  0.234089
2021-09-22 00:22:53.177967 : Epoch  1, Batch    398, Loss  0.926896, Average Loss  0.947096, Time  0.233666
2021-09-22 00:22:55.820998 : Epoch  1, Batch    399, Loss  0.887592, Average Loss  0.946306, Time  0.234047
2021-09-22 00:22:58.440245 : Epoch  1, Batch    400, Loss  0.916765, Average Loss  0.945715, Time  0.233719
2021-09-22 00:27:02.280992 : CheckPoint: Validation Loss  0.00031445, Best Loss  0.00031445
2021-09-22 00:27:02.327554 : Best Model Updated
2021-09-22 00:27:05.533191 : Epoch  1, Batch    401, Loss  0.921933, Average Loss  0.945159, Time  0.235432
2021-09-22 00:27:08.162044 : Epoch  1, Batch    402, Loss  0.908667, Average Loss  0.944584, Time  0.234794
2021-09-22 00:27:10.796756 : Epoch  1, Batch    403, Loss  0.920245, Average Loss  0.944056, Time  0.234843
2021-09-22 00:27:13.426347 : Epoch  1, Batch    404, Loss  0.899011, Average Loss  0.943410, Time  0.234457
2021-09-22 00:27:16.051870 : Epoch  1, Batch    405, Loss  0.914700, Average Loss  0.942764, Time  0.234021
2021-09-22 00:27:18.662782 : Epoch  1, Batch    406, Loss  0.900734, Average Loss  0.942060, Time  0.233937
2021-09-22 00:27:21.290046 : Epoch  1, Batch    407, Loss  0.916395, Average Loss  0.941548, Time  0.234273
2021-09-22 00:27:23.919045 : Epoch  1, Batch    408, Loss  0.896478, Average Loss  0.940827, Time  0.233407
2021-09-22 00:27:26.548811 : Epoch  1, Batch    409, Loss  0.904783, Average Loss  0.940145, Time  0.234807
2021-09-22 00:27:29.191131 : Epoch  1, Batch    410, Loss  0.907838, Average Loss  0.939610, Time  0.233549
2021-09-22 00:27:31.809159 : Epoch  1, Batch    411, Loss  0.904291, Average Loss  0.938979, Time  0.233802
2021-09-22 00:27:34.443009 : Epoch  1, Batch    412, Loss  0.909719, Average Loss  0.938414, Time  0.233474
2021-09-22 00:27:37.063732 : Epoch  1, Batch    413, Loss  0.927121, Average Loss  0.938024, Time  0.233956
2021-09-22 00:27:39.694265 : Epoch  1, Batch    414, Loss  0.910442, Average Loss  0.937475, Time  0.233446
2021-09-22 00:27:42.313959 : Epoch  1, Batch    415, Loss  0.922996, Average Loss  0.937053, Time  0.233991
2021-09-22 00:27:44.948985 : Epoch  1, Batch    416, Loss  0.901772, Average Loss  0.936370, Time  0.233735
2021-09-22 00:27:47.570066 : Epoch  1, Batch    417, Loss  0.900341, Average Loss  0.935868, Time  0.234031
2021-09-22 00:27:50.194739 : Epoch  1, Batch    418, Loss  0.899543, Average Loss  0.935350, Time  0.233581
2021-09-22 00:27:52.827967 : Epoch  1, Batch    419, Loss  0.889308, Average Loss  0.934821, Time  0.233939
2021-09-22 00:27:55.447304 : Epoch  1, Batch    420, Loss  0.905648, Average Loss  0.934376, Time  0.233276
2021-09-22 00:27:58.065264 : Epoch  1, Batch    421, Loss  0.910044, Average Loss  0.933803, Time  0.233595
2021-09-22 00:28:00.689095 : Epoch  1, Batch    422, Loss  0.916179, Average Loss  0.933381, Time  0.233789
2021-09-22 00:28:03.324035 : Epoch  1, Batch    423, Loss  0.899449, Average Loss  0.932779, Time  0.233631
2021-09-22 00:28:05.955634 : Epoch  1, Batch    424, Loss  0.896123, Average Loss  0.932356, Time  0.234095
2021-09-22 00:28:08.609704 : Epoch  1, Batch    425, Loss  0.914397, Average Loss  0.931923, Time  0.234767
2021-09-22 00:28:11.240165 : Epoch  1, Batch    426, Loss  0.900047, Average Loss  0.931573, Time  0.233786
2021-09-22 00:28:13.867095 : Epoch  1, Batch    427, Loss  0.904096, Average Loss  0.931120, Time  0.234478
2021-09-22 00:28:16.493847 : Epoch  1, Batch    428, Loss  0.914485, Average Loss  0.930726, Time  0.234242
2021-09-22 00:28:19.120718 : Epoch  1, Batch    429, Loss  0.886178, Average Loss  0.930176, Time  0.234004
2021-09-22 00:28:21.750871 : Epoch  1, Batch    430, Loss  0.907207, Average Loss  0.929806, Time  0.233946
2021-09-22 00:28:24.407904 : Epoch  1, Batch    431, Loss  0.904010, Average Loss  0.929470, Time  0.234963
2021-09-22 00:28:27.031968 : Epoch  1, Batch    432, Loss  0.898319, Average Loss  0.928979, Time  0.233505
2021-09-22 00:28:29.646280 : Epoch  1, Batch    433, Loss  0.891202, Average Loss  0.928560, Time  0.233706
2021-09-22 00:28:32.272718 : Epoch  1, Batch    434, Loss  0.893934, Average Loss  0.928136, Time  0.233854
2021-09-22 00:28:34.900750 : Epoch  1, Batch    435, Loss  0.892300, Average Loss  0.927699, Time  0.234010
2021-09-22 00:28:37.518825 : Epoch  1, Batch    436, Loss  0.890918, Average Loss  0.927264, Time  0.234073
2021-09-22 00:28:40.150724 : Epoch  1, Batch    437, Loss  0.920639, Average Loss  0.927159, Time  0.233892
2021-09-22 00:28:42.781717 : Epoch  1, Batch    438, Loss  0.891790, Average Loss  0.926657, Time  0.233459
2021-09-22 00:28:45.414686 : Epoch  1, Batch    439, Loss  0.897416, Average Loss  0.926274, Time  0.233806
2021-09-22 00:28:48.035806 : Epoch  1, Batch    440, Loss  0.894347, Average Loss  0.925881, Time  0.233624
2021-09-22 00:28:50.656773 : Epoch  1, Batch    441, Loss  0.909977, Average Loss  0.925522, Time  0.233660
2021-09-22 00:28:53.302705 : Epoch  1, Batch    442, Loss  0.903200, Average Loss  0.925325, Time  0.234017
2021-09-22 00:28:55.953409 : Epoch  1, Batch    443, Loss  0.932314, Average Loss  0.925103, Time  0.234027
2021-09-22 00:28:58.581432 : Epoch  1, Batch    444, Loss  0.920888, Average Loss  0.924914, Time  0.233753
2021-09-22 00:29:01.195222 : Epoch  1, Batch    445, Loss  0.884384, Average Loss  0.924363, Time  0.233822
2021-09-22 00:29:03.834720 : Epoch  1, Batch    446, Loss  0.877827, Average Loss  0.923872, Time  0.234154
2021-09-22 00:29:06.466695 : Epoch  1, Batch    447, Loss  0.917712, Average Loss  0.923643, Time  0.233799
2021-09-22 00:29:09.096725 : Epoch  1, Batch    448, Loss  0.905251, Average Loss  0.923293, Time  0.234578
2021-09-22 00:29:11.724060 : Epoch  1, Batch    449, Loss  0.904379, Average Loss  0.923035, Time  0.234075
2021-09-22 00:29:14.358000 : Epoch  1, Batch    450, Loss  0.903992, Average Loss  0.922711, Time  0.234478
2021-09-22 00:29:16.979089 : Epoch  1, Batch    451, Loss  0.902318, Average Loss  0.922432, Time  0.234070
2021-09-22 00:29:19.600807 : Epoch  1, Batch    452, Loss  0.893807, Average Loss  0.922218, Time  0.233841
2021-09-22 00:29:22.223568 : Epoch  1, Batch    453, Loss  0.911716, Average Loss  0.921894, Time  0.234019
2021-09-22 00:29:24.846282 : Epoch  1, Batch    454, Loss  0.904294, Average Loss  0.921543, Time  0.234389
2021-09-22 00:29:27.474764 : Epoch  1, Batch    455, Loss  0.894391, Average Loss  0.921233, Time  0.233909
2021-09-22 00:29:30.113079 : Epoch  1, Batch    456, Loss  0.904250, Average Loss  0.920996, Time  0.234198
2021-09-22 00:29:32.741002 : Epoch  1, Batch    457, Loss  0.913354, Average Loss  0.920657, Time  0.233968
2021-09-22 00:29:35.372033 : Epoch  1, Batch    458, Loss  0.910266, Average Loss  0.920368, Time  0.233640
2021-09-22 00:29:37.997787 : Epoch  1, Batch    459, Loss  0.911791, Average Loss  0.920209, Time  0.233680
2021-09-22 00:29:40.626702 : Epoch  1, Batch    460, Loss  0.915883, Average Loss  0.920050, Time  0.234381
2021-09-22 00:29:43.247971 : Epoch  1, Batch    461, Loss  0.915952, Average Loss  0.919875, Time  0.233901
2021-09-22 00:29:45.870886 : Epoch  1, Batch    462, Loss  0.921464, Average Loss  0.919660, Time  0.233531
2021-09-22 00:29:48.487907 : Epoch  1, Batch    463, Loss  0.883752, Average Loss  0.919393, Time  0.233697
2021-09-22 00:29:51.102382 : Epoch  1, Batch    464, Loss  0.892401, Average Loss  0.919036, Time  0.233672
2021-09-22 00:29:53.746972 : Epoch  1, Batch    465, Loss  0.904855, Average Loss  0.918868, Time  0.234173
2021-09-22 00:29:56.365988 : Epoch  1, Batch    466, Loss  0.898351, Average Loss  0.918711, Time  0.233589
2021-09-22 00:29:58.998154 : Epoch  1, Batch    467, Loss  0.906827, Average Loss  0.918473, Time  0.233655
2021-09-22 00:30:01.619595 : Epoch  1, Batch    468, Loss  0.899142, Average Loss  0.918227, Time  0.234194
2021-09-22 00:30:04.235241 : Epoch  1, Batch    469, Loss  0.940181, Average Loss  0.918243, Time  0.234006
2021-09-22 00:30:06.884734 : Epoch  1, Batch    470, Loss  0.895807, Average Loss  0.917933, Time  0.235350
2021-09-22 00:30:09.524940 : Epoch  1, Batch    471, Loss  0.920649, Average Loss  0.917836, Time  0.233847
2021-09-22 00:30:12.153971 : Epoch  1, Batch    472, Loss  0.900690, Average Loss  0.917492, Time  0.234645
2021-09-22 00:30:14.782042 : Epoch  1, Batch    473, Loss  0.897910, Average Loss  0.917297, Time  0.233906
2021-09-22 00:30:17.405733 : Epoch  1, Batch    474, Loss  0.875373, Average Loss  0.916898, Time  0.234566
2021-09-22 00:30:20.038977 : Epoch  1, Batch    475, Loss  0.898470, Average Loss  0.916582, Time  0.235184
2021-09-22 00:30:22.657989 : Epoch  1, Batch    476, Loss  0.897349, Average Loss  0.916330, Time  0.233751
2021-09-22 00:30:25.281031 : Epoch  1, Batch    477, Loss  0.880716, Average Loss  0.916077, Time  0.234384
2021-09-22 00:30:27.903777 : Epoch  1, Batch    478, Loss  0.907361, Average Loss  0.915908, Time  0.233753
2021-09-22 00:30:30.534912 : Epoch  1, Batch    479, Loss  0.899117, Average Loss  0.915495, Time  0.234089
2021-09-22 00:30:33.154983 : Epoch  1, Batch    480, Loss  0.888946, Average Loss  0.915277, Time  0.233384
2021-09-22 00:30:35.790894 : Epoch  1, Batch    481, Loss  0.909708, Average Loss  0.915203, Time  0.234643
2021-09-22 00:30:38.432879 : Epoch  1, Batch    482, Loss  0.916889, Average Loss  0.915090, Time  0.235297
2021-09-22 00:30:41.081744 : Epoch  1, Batch    483, Loss  0.896699, Average Loss  0.914864, Time  0.234864
2021-09-22 00:30:43.716118 : Epoch  1, Batch    484, Loss  0.890744, Average Loss  0.914644, Time  0.234922
2021-09-22 00:30:46.348019 : Epoch  1, Batch    485, Loss  0.920073, Average Loss  0.914555, Time  0.234492
2021-09-22 00:30:48.978929 : Epoch  1, Batch    486, Loss  0.875636, Average Loss  0.914304, Time  0.234184
2021-09-22 00:30:51.610551 : Epoch  1, Batch    487, Loss  0.903387, Average Loss  0.914059, Time  0.234598
2021-09-22 00:30:54.231843 : Epoch  1, Batch    488, Loss  0.910198, Average Loss  0.913897, Time  0.234336
2021-09-22 00:30:56.858868 : Epoch  1, Batch    489, Loss  0.890639, Average Loss  0.913646, Time  0.234542
2021-09-22 00:30:59.494498 : Epoch  1, Batch    490, Loss  0.889097, Average Loss  0.913399, Time  0.234051
2021-09-22 00:31:02.113285 : Epoch  1, Batch    491, Loss  0.905301, Average Loss  0.913132, Time  0.234552
2021-09-22 00:31:04.751783 : Epoch  1, Batch    492, Loss  0.912122, Average Loss  0.913019, Time  0.234344
2021-09-22 00:31:07.395245 : Epoch  1, Batch    493, Loss  0.891520, Average Loss  0.912814, Time  0.234325
2021-09-22 00:31:10.024247 : Epoch  1, Batch    494, Loss  0.911107, Average Loss  0.912698, Time  0.234316
2021-09-22 00:31:12.662243 : Epoch  1, Batch    495, Loss  0.886361, Average Loss  0.912444, Time  0.235648
2021-09-22 00:31:15.297526 : Epoch  1, Batch    496, Loss  0.888209, Average Loss  0.912274, Time  0.235129
2021-09-22 00:31:17.949152 : Epoch  1, Batch    497, Loss  0.915638, Average Loss  0.912027, Time  0.247679
2021-09-22 00:31:20.606188 : Epoch  1, Batch    498, Loss  0.889266, Average Loss  0.911716, Time  0.235792
2021-09-22 00:31:23.257982 : Epoch  1, Batch    499, Loss  0.876543, Average Loss  0.911489, Time  0.234418
2021-09-22 00:31:25.908007 : Epoch  1, Batch    500, Loss  0.874702, Average Loss  0.911118, Time  0.237002
2021-09-22 00:35:31.534713 : CheckPoint: Validation Loss  0.00030401, Best Loss  0.00030401
2021-09-22 00:35:31.581554 : Best Model Updated
2021-09-22 00:35:35.020093 : Epoch  1, Batch    501, Loss  0.898212, Average Loss  0.911010, Time  0.235877
2021-09-22 00:35:37.626218 : Epoch  1, Batch    502, Loss  0.909523, Average Loss  0.910824, Time  0.234192
2021-09-22 00:35:40.226124 : Epoch  1, Batch    503, Loss  0.896186, Average Loss  0.910736, Time  0.234453
2021-09-22 00:35:42.820101 : Epoch  1, Batch    504, Loss  0.905398, Average Loss  0.910539, Time  0.234313
2021-09-22 00:35:45.408747 : Epoch  1, Batch    505, Loss  0.904149, Average Loss  0.910298, Time  0.234272
2021-09-22 00:35:47.994369 : Epoch  1, Batch    506, Loss  0.904715, Average Loss  0.910119, Time  0.234069
2021-09-22 00:35:50.576043 : Epoch  1, Batch    507, Loss  0.892369, Average Loss  0.909922, Time  0.234647
2021-09-22 00:35:53.171516 : Epoch  1, Batch    508, Loss  0.874955, Average Loss  0.909633, Time  0.234316
2021-09-22 00:35:55.769326 : Epoch  1, Batch    509, Loss  0.887572, Average Loss  0.909560, Time  0.234069
2021-09-22 00:35:58.363211 : Epoch  1, Batch    510, Loss  0.890356, Average Loss  0.909322, Time  0.234365
2021-09-22 00:36:00.968069 : Epoch  1, Batch    511, Loss  0.918753, Average Loss  0.909270, Time  0.235030
2021-09-22 00:36:03.553018 : Epoch  1, Batch    512, Loss  0.899766, Average Loss  0.909106, Time  0.234135
2021-09-22 00:36:06.156834 : Epoch  1, Batch    513, Loss  0.902971, Average Loss  0.909037, Time  0.235548
2021-09-22 00:36:08.759115 : Epoch  1, Batch    514, Loss  0.892045, Average Loss  0.908773, Time  0.235245
2021-09-22 00:36:11.352705 : Epoch  1, Batch    515, Loss  0.901623, Average Loss  0.908578, Time  0.234235
2021-09-22 00:36:13.942169 : Epoch  1, Batch    516, Loss  0.891194, Average Loss  0.908441, Time  0.234240
2021-09-22 00:36:16.536135 : Epoch  1, Batch    517, Loss  0.875982, Average Loss  0.908216, Time  0.234138
2021-09-22 00:36:19.134085 : Epoch  1, Batch    518, Loss  0.896827, Average Loss  0.908078, Time  0.233944
2021-09-22 00:36:21.727419 : Epoch  1, Batch    519, Loss  0.890567, Average Loss  0.907946, Time  0.234299
2021-09-22 00:36:24.308011 : Epoch  1, Batch    520, Loss  0.897386, Average Loss  0.907815, Time  0.234252
2021-09-22 00:36:26.895826 : Epoch  1, Batch    521, Loss  0.889776, Average Loss  0.907527, Time  0.234025
2021-09-22 00:36:29.511362 : Epoch  1, Batch    522, Loss  0.874980, Average Loss  0.907195, Time  0.233586
2021-09-22 00:36:32.085163 : Epoch  1, Batch    523, Loss  0.892658, Average Loss  0.906964, Time  0.234132
2021-09-22 00:36:34.665364 : Epoch  1, Batch    524, Loss  0.899303, Average Loss  0.906933, Time  0.233358
2021-09-22 00:36:37.260772 : Epoch  1, Batch    525, Loss  0.882060, Average Loss  0.906748, Time  0.234670
2021-09-22 00:36:39.862049 : Epoch  1, Batch    526, Loss  0.884996, Average Loss  0.906561, Time  0.233613
2021-09-22 00:36:42.449740 : Epoch  1, Batch    527, Loss  0.895550, Average Loss  0.906421, Time  0.234120
2021-09-22 00:36:45.057697 : Epoch  1, Batch    528, Loss  0.885619, Average Loss  0.906137, Time  0.234429
2021-09-22 00:36:47.657083 : Epoch  1, Batch    529, Loss  0.906256, Average Loss  0.906016, Time  0.234301
2021-09-22 00:36:50.249042 : Epoch  1, Batch    530, Loss  0.917603, Average Loss  0.905972, Time  0.234110
2021-09-22 00:36:52.843197 : Epoch  1, Batch    531, Loss  0.887127, Average Loss  0.905732, Time  0.234025
2021-09-22 00:36:55.442037 : Epoch  1, Batch    532, Loss  0.909598, Average Loss  0.905703, Time  0.233875
2021-09-22 00:36:58.077132 : Epoch  1, Batch    533, Loss  0.910983, Average Loss  0.905617, Time  0.234386
2021-09-22 00:37:00.676734 : Epoch  1, Batch    534, Loss  0.895322, Average Loss  0.905435, Time  0.234652
2021-09-22 00:37:03.270082 : Epoch  1, Batch    535, Loss  0.909732, Average Loss  0.905374, Time  0.233899
2021-09-22 00:37:05.875163 : Epoch  1, Batch    536, Loss  0.903485, Average Loss  0.905286, Time  0.234235
2021-09-22 00:37:08.473914 : Epoch  1, Batch    537, Loss  0.891950, Average Loss  0.905127, Time  0.234525
2021-09-22 00:37:11.059574 : Epoch  1, Batch    538, Loss  0.908682, Average Loss  0.905080, Time  0.234981
2021-09-22 00:37:13.683797 : Epoch  1, Batch    539, Loss  0.900327, Average Loss  0.905027, Time  0.234368
2021-09-22 00:37:16.296014 : Epoch  1, Batch    540, Loss  0.890819, Average Loss  0.904914, Time  0.237671
2021-09-22 00:37:18.933886 : Epoch  1, Batch    541, Loss  0.905831, Average Loss  0.904827, Time  0.236049
2021-09-22 00:37:21.573219 : Epoch  1, Batch    542, Loss  0.886451, Average Loss  0.904737, Time  0.249909
2021-09-22 00:37:24.431204 : Epoch  1, Batch    543, Loss  0.922788, Average Loss  0.904825, Time  0.266996
2021-09-22 00:37:27.041717 : Epoch  1, Batch    544, Loss  0.899442, Average Loss  0.904855, Time  0.234423
2021-09-22 00:37:30.046842 : Epoch  1, Batch    545, Loss  0.902851, Average Loss  0.904818, Time  0.234401
2021-09-22 00:37:32.806745 : Epoch  1, Batch    546, Loss  0.901591, Average Loss  0.904792, Time  0.234700
2021-09-22 00:37:35.595169 : Epoch  1, Batch    547, Loss  0.894713, Average Loss  0.904633, Time  0.234295
2021-09-22 00:37:38.339114 : Epoch  1, Batch    548, Loss  0.904262, Average Loss  0.904343, Time  0.234796
2021-09-22 00:37:41.012341 : Epoch  1, Batch    549, Loss  0.902171, Average Loss  0.904273, Time  0.235028
2021-09-22 00:37:43.654107 : Epoch  1, Batch    550, Loss  0.886521, Average Loss  0.904116, Time  0.235368
2021-09-22 00:37:46.571886 : Epoch  1, Batch    551, Loss  0.904144, Average Loss  0.904031, Time  0.273312
2021-09-22 00:37:49.230836 : Epoch  1, Batch    552, Loss  0.898787, Average Loss  0.903903, Time  0.263495
2021-09-22 00:37:51.865340 : Epoch  1, Batch    553, Loss  0.919461, Average Loss  0.903837, Time  0.235594
2021-09-22 00:37:54.653772 : Epoch  1, Batch    554, Loss  0.889799, Average Loss  0.903720, Time  0.234239
2021-09-22 00:37:57.276485 : Epoch  1, Batch    555, Loss  0.897776, Average Loss  0.903529, Time  0.235205
2021-09-22 00:37:59.962963 : Epoch  1, Batch    556, Loss  0.915824, Average Loss  0.903501, Time  0.234691
2021-09-22 00:38:02.605107 : Epoch  1, Batch    557, Loss  0.906183, Average Loss  0.903428, Time  0.235538
2021-09-22 00:38:05.212260 : Epoch  1, Batch    558, Loss  0.892777, Average Loss  0.903361, Time  0.235680
2021-09-22 00:38:07.857396 : Epoch  1, Batch    559, Loss  0.860807, Average Loss  0.902994, Time  0.234951
2021-09-22 00:38:10.500843 : Epoch  1, Batch    560, Loss  0.890345, Average Loss  0.902810, Time  0.235605
2021-09-22 00:38:13.117727 : Epoch  1, Batch    561, Loss  0.895979, Average Loss  0.902717, Time  0.235543
2021-09-22 00:38:15.737383 : Epoch  1, Batch    562, Loss  0.889687, Average Loss  0.902568, Time  0.235433
2021-09-22 00:38:18.388081 : Epoch  1, Batch    563, Loss  0.904127, Average Loss  0.902515, Time  0.243541
2021-09-22 00:38:21.043671 : Epoch  1, Batch    564, Loss  0.907506, Average Loss  0.902538, Time  0.234345
2021-09-22 00:38:23.682505 : Epoch  1, Batch    565, Loss  0.876409, Average Loss  0.902409, Time  0.235979
2021-09-22 00:38:26.278734 : Epoch  1, Batch    566, Loss  0.880542, Average Loss  0.902212, Time  0.233914
2021-09-22 00:38:28.891214 : Epoch  1, Batch    567, Loss  0.896990, Average Loss  0.902165, Time  0.236412
2021-09-22 00:38:31.479378 : Epoch  1, Batch    568, Loss  0.888090, Average Loss  0.902031, Time  0.233684
2021-09-22 00:38:34.087492 : Epoch  1, Batch    569, Loss  0.885086, Average Loss  0.901881, Time  0.234377
2021-09-22 00:38:36.712642 : Epoch  1, Batch    570, Loss  0.901945, Average Loss  0.901864, Time  0.234175
2021-09-22 00:38:39.334895 : Epoch  1, Batch    571, Loss  0.942819, Average Loss  0.902104, Time  0.234339
2021-09-22 00:38:41.956856 : Epoch  1, Batch    572, Loss  0.905345, Average Loss  0.902075, Time  0.233781
2021-09-22 00:38:44.598841 : Epoch  1, Batch    573, Loss  0.873625, Average Loss  0.901855, Time  0.235107
2021-09-22 00:38:47.207880 : Epoch  1, Batch    574, Loss  0.909541, Average Loss  0.901696, Time  0.235817
2021-09-22 00:38:49.804025 : Epoch  1, Batch    575, Loss  0.884753, Average Loss  0.901682, Time  0.234884
2021-09-22 00:38:52.416818 : Epoch  1, Batch    576, Loss  0.895486, Average Loss  0.901756, Time  0.234417
2021-09-22 00:38:55.017644 : Epoch  1, Batch    577, Loss  0.879440, Average Loss  0.901471, Time  0.235165
2021-09-22 00:38:57.623951 : Epoch  1, Batch    578, Loss  0.883798, Average Loss  0.901349, Time  0.234067
2021-09-22 00:39:00.220725 : Epoch  1, Batch    579, Loss  0.896761, Average Loss  0.901230, Time  0.234087
2021-09-22 00:39:02.853796 : Epoch  1, Batch    580, Loss  0.887554, Average Loss  0.901014, Time  0.234159
2021-09-22 00:39:05.446737 : Epoch  1, Batch    581, Loss  0.891917, Average Loss  0.900957, Time  0.235521
2021-09-22 00:39:08.043749 : Epoch  1, Batch    582, Loss  0.910219, Average Loss  0.900918, Time  0.234133
2021-09-22 00:39:10.646264 : Epoch  1, Batch    583, Loss  0.919370, Average Loss  0.900945, Time  0.236444
2021-09-22 00:39:13.339808 : Epoch  1, Batch    584, Loss  0.890478, Average Loss  0.900802, Time  0.235097
2021-09-22 00:39:15.953724 : Epoch  1, Batch    585, Loss  0.887307, Average Loss  0.900697, Time  0.235619
2021-09-22 00:39:18.557917 : Epoch  1, Batch    586, Loss  0.892355, Average Loss  0.900633, Time  0.234550
2021-09-22 00:39:21.161966 : Epoch  1, Batch    587, Loss  0.889482, Average Loss  0.900593, Time  0.235025
2021-09-22 00:39:23.761533 : Epoch  1, Batch    588, Loss  0.881948, Average Loss  0.900442, Time  0.237656
2021-09-22 00:39:26.416922 : Epoch  1, Batch    589, Loss  0.877625, Average Loss  0.900317, Time  0.234274
2021-09-22 00:39:29.016920 : Epoch  1, Batch    590, Loss  0.892288, Average Loss  0.900292, Time  0.234392
2021-09-22 00:39:31.645199 : Epoch  1, Batch    591, Loss  0.878626, Average Loss  0.900110, Time  0.235867
2021-09-22 00:39:34.258268 : Epoch  1, Batch    592, Loss  0.892867, Average Loss  0.900050, Time  0.234469
2021-09-22 00:39:36.871169 : Epoch  1, Batch    593, Loss  0.885391, Average Loss  0.899827, Time  0.233895
2021-09-22 00:39:39.475584 : Epoch  1, Batch    594, Loss  0.888877, Average Loss  0.899691, Time  0.235896
2021-09-22 00:39:42.108216 : Epoch  1, Batch    595, Loss  0.879287, Average Loss  0.899594, Time  0.236152
2021-09-22 00:39:44.710422 : Epoch  1, Batch    596, Loss  0.906963, Average Loss  0.899534, Time  0.234007
2021-09-22 00:39:47.295426 : Epoch  1, Batch    597, Loss  0.882350, Average Loss  0.899501, Time  0.234242
2021-09-22 00:39:49.889740 : Epoch  1, Batch    598, Loss  0.899879, Average Loss  0.899366, Time  0.233745
2021-09-22 00:39:52.515576 : Epoch  1, Batch    599, Loss  0.888766, Average Loss  0.899372, Time  0.234957
2021-09-22 00:39:55.165796 : Epoch  1, Batch    600, Loss  0.888608, Average Loss  0.899231, Time  0.236364
2021-09-22 00:44:00.079298 : CheckPoint: Validation Loss  0.00031630, Best Loss  0.00030401
2021-09-22 00:44:02.729450 : Epoch  1, Batch    601, Loss  0.888634, Average Loss  0.899064, Time  0.236408
2021-09-22 00:44:05.367814 : Epoch  1, Batch    602, Loss  0.908870, Average Loss  0.899065, Time  0.237893
2021-09-22 00:44:07.995018 : Epoch  1, Batch    603, Loss  0.894575, Average Loss  0.898937, Time  0.236472
2021-09-22 00:44:10.648053 : Epoch  1, Batch    604, Loss  0.866533, Average Loss  0.898775, Time  0.235036
2021-09-22 00:44:13.290787 : Epoch  1, Batch    605, Loss  0.900451, Average Loss  0.898703, Time  0.236052
2021-09-22 00:44:15.893875 : Epoch  1, Batch    606, Loss  0.873715, Average Loss  0.898568, Time  0.236107
2021-09-22 00:44:18.517755 : Epoch  1, Batch    607, Loss  0.876425, Average Loss  0.898368, Time  0.235132
2021-09-22 00:44:21.166776 : Epoch  1, Batch    608, Loss  0.880869, Average Loss  0.898290, Time  0.234319
2021-09-22 00:44:23.794526 : Epoch  1, Batch    609, Loss  0.874910, Average Loss  0.898141, Time  0.237817
2021-09-22 00:44:26.454865 : Epoch  1, Batch    610, Loss  0.885190, Average Loss  0.898028, Time  0.235225
2021-09-22 00:44:29.116762 : Epoch  1, Batch    611, Loss  0.875295, Average Loss  0.897883, Time  0.239368
2021-09-22 00:44:31.708769 : Epoch  1, Batch    612, Loss  0.910309, Average Loss  0.897886, Time  0.234374
2021-09-22 00:44:34.302180 : Epoch  1, Batch    613, Loss  0.905124, Average Loss  0.897776, Time  0.234349
2021-09-22 00:44:36.942224 : Epoch  1, Batch    614, Loss  0.893132, Average Loss  0.897689, Time  0.234344
2021-09-22 00:44:39.536018 : Epoch  1, Batch    615, Loss  0.892598, Average Loss  0.897537, Time  0.234048
2021-09-22 00:44:42.151015 : Epoch  1, Batch    616, Loss  0.875923, Average Loss  0.897408, Time  0.234838
2021-09-22 00:44:44.766207 : Epoch  1, Batch    617, Loss  0.906966, Average Loss  0.897441, Time  0.236688
2021-09-22 00:44:47.377909 : Epoch  1, Batch    618, Loss  0.899422, Average Loss  0.897441, Time  0.234757
2021-09-22 00:44:49.985777 : Epoch  1, Batch    619, Loss  0.870575, Average Loss  0.897347, Time  0.237461
2021-09-22 00:44:52.611743 : Epoch  1, Batch    620, Loss  0.906392, Average Loss  0.897351, Time  0.234269
2021-09-22 00:44:55.278808 : Epoch  1, Batch    621, Loss  0.872314, Average Loss  0.897162, Time  0.235965
2021-09-22 00:44:57.884887 : Epoch  1, Batch    622, Loss  0.888812, Average Loss  0.897025, Time  0.235452
2021-09-22 00:45:00.502789 : Epoch  1, Batch    623, Loss  0.862916, Average Loss  0.896842, Time  0.234468
2021-09-22 00:45:03.116242 : Epoch  1, Batch    624, Loss  0.890766, Average Loss  0.896816, Time  0.234798
2021-09-22 00:45:05.755773 : Epoch  1, Batch    625, Loss  0.891354, Average Loss  0.896700, Time  0.234545
2021-09-22 00:45:08.394718 : Epoch  1, Batch    626, Loss  0.885622, Average Loss  0.896628, Time  0.234272
2021-09-22 00:45:11.042866 : Epoch  1, Batch    627, Loss  0.891649, Average Loss  0.896566, Time  0.243639
2021-09-22 00:45:13.645813 : Epoch  1, Batch    628, Loss  0.882256, Average Loss  0.896405, Time  0.235106
2021-09-22 00:45:16.290382 : Epoch  1, Batch    629, Loss  0.890385, Average Loss  0.896426, Time  0.234919
2021-09-22 00:45:18.933231 : Epoch  1, Batch    630, Loss  0.902287, Average Loss  0.896401, Time  0.235501
2021-09-22 00:45:21.528708 : Epoch  1, Batch    631, Loss  0.900183, Average Loss  0.896382, Time  0.234502
2021-09-22 00:45:24.147190 : Epoch  1, Batch    632, Loss  0.909859, Average Loss  0.896440, Time  0.259851
2021-09-22 00:45:26.772820 : Epoch  1, Batch    633, Loss  0.895000, Average Loss  0.896459, Time  0.234618
2021-09-22 00:45:29.381725 : Epoch  1, Batch    634, Loss  0.867765, Average Loss  0.896328, Time  0.234450
2021-09-22 00:45:32.024791 : Epoch  1, Batch    635, Loss  0.883274, Average Loss  0.896283, Time  0.235106
2021-09-22 00:45:34.633980 : Epoch  1, Batch    636, Loss  0.880468, Average Loss  0.896231, Time  0.236599
2021-09-22 00:45:37.228708 : Epoch  1, Batch    637, Loss  0.869823, Average Loss  0.895977, Time  0.235068
2021-09-22 00:45:39.832972 : Epoch  1, Batch    638, Loss  0.896443, Average Loss  0.896000, Time  0.234130
2021-09-22 00:45:42.452801 : Epoch  1, Batch    639, Loss  0.890563, Average Loss  0.895966, Time  0.234275
2021-09-22 00:45:45.048268 : Epoch  1, Batch    640, Loss  0.883144, Average Loss  0.895910, Time  0.234399
2021-09-22 00:45:47.666496 : Epoch  1, Batch    641, Loss  0.899705, Average Loss  0.895858, Time  0.235927
2021-09-22 00:45:50.280926 : Epoch  1, Batch    642, Loss  0.873687, Average Loss  0.895711, Time  0.235204
2021-09-22 00:45:52.877850 : Epoch  1, Batch    643, Loss  0.887955, Average Loss  0.895489, Time  0.235206
2021-09-22 00:45:55.492680 : Epoch  1, Batch    644, Loss  0.880850, Average Loss  0.895289, Time  0.235783
2021-09-22 00:45:58.093717 : Epoch  1, Batch    645, Loss  0.892084, Average Loss  0.895327, Time  0.234783
2021-09-22 00:46:00.708966 : Epoch  1, Batch    646, Loss  0.893991, Average Loss  0.895408, Time  0.234284
2021-09-22 00:46:03.301105 : Epoch  1, Batch    647, Loss  0.878240, Average Loss  0.895211, Time  0.234121
2021-09-22 00:46:05.900231 : Epoch  1, Batch    648, Loss  0.900669, Average Loss  0.895188, Time  0.234532
2021-09-22 00:46:08.510800 : Epoch  1, Batch    649, Loss  0.897922, Average Loss  0.895155, Time  0.234089
2021-09-22 00:46:11.126622 : Epoch  1, Batch    650, Loss  0.889065, Average Loss  0.895081, Time  0.239223
2021-09-22 00:46:13.725917 : Epoch  1, Batch    651, Loss  0.903155, Average Loss  0.895085, Time  0.234313
2021-09-22 00:46:16.327220 : Epoch  1, Batch    652, Loss  0.889927, Average Loss  0.895066, Time  0.234031
2021-09-22 00:46:18.927981 : Epoch  1, Batch    653, Loss  0.892656, Average Loss  0.894970, Time  0.234447
2021-09-22 00:46:21.528234 : Epoch  1, Batch    654, Loss  0.895186, Average Loss  0.894925, Time  0.234465
2021-09-22 00:46:24.121133 : Epoch  1, Batch    655, Loss  0.877728, Average Loss  0.894841, Time  0.233971
2021-09-22 00:46:26.745221 : Epoch  1, Batch    656, Loss  0.884960, Average Loss  0.894745, Time  0.234853
2021-09-22 00:46:29.381131 : Epoch  1, Batch    657, Loss  0.859941, Average Loss  0.894478, Time  0.235138
2021-09-22 00:46:31.989247 : Epoch  1, Batch    658, Loss  0.909595, Average Loss  0.894475, Time  0.241004
2021-09-22 00:46:34.593491 : Epoch  1, Batch    659, Loss  0.871511, Average Loss  0.894273, Time  0.234540
2021-09-22 00:46:37.226406 : Epoch  1, Batch    660, Loss  0.872700, Average Loss  0.894057, Time  0.236547
2021-09-22 00:46:39.834424 : Epoch  1, Batch    661, Loss  0.876234, Average Loss  0.893859, Time  0.234468
2021-09-22 00:46:42.438083 : Epoch  1, Batch    662, Loss  0.889203, Average Loss  0.893697, Time  0.234309
2021-09-22 00:46:45.037565 : Epoch  1, Batch    663, Loss  0.893380, Average Loss  0.893746, Time  0.235034
2021-09-22 00:46:47.692263 : Epoch  1, Batch    664, Loss  0.881261, Average Loss  0.893690, Time  0.235999
2021-09-22 00:46:50.338177 : Epoch  1, Batch    665, Loss  0.896412, Average Loss  0.893648, Time  0.234371
2021-09-22 00:46:52.949261 : Epoch  1, Batch    666, Loss  0.889062, Average Loss  0.893601, Time  0.238690
2021-09-22 00:46:55.556726 : Epoch  1, Batch    667, Loss  0.895761, Average Loss  0.893546, Time  0.234334
2021-09-22 00:46:58.165312 : Epoch  1, Batch    668, Loss  0.884917, Average Loss  0.893475, Time  0.234800
2021-09-22 00:47:00.788152 : Epoch  1, Batch    669, Loss  0.902551, Average Loss  0.893287, Time  0.234774
2021-09-22 00:47:03.385456 : Epoch  1, Batch    670, Loss  0.903182, Average Loss  0.893323, Time  0.235217
2021-09-22 00:47:05.989079 : Epoch  1, Batch    671, Loss  0.894073, Average Loss  0.893191, Time  0.234603
2021-09-22 00:47:08.608339 : Epoch  1, Batch    672, Loss  0.897761, Average Loss  0.893176, Time  0.234370
2021-09-22 00:47:11.233128 : Epoch  1, Batch    673, Loss  0.880721, Average Loss  0.893090, Time  0.234483
2021-09-22 00:47:13.833878 : Epoch  1, Batch    674, Loss  0.884825, Average Loss  0.893137, Time  0.234190
2021-09-22 00:47:16.422764 : Epoch  1, Batch    675, Loss  0.884490, Average Loss  0.893067, Time  0.235676
2021-09-22 00:47:19.021282 : Epoch  1, Batch    676, Loss  0.881533, Average Loss  0.892988, Time  0.234422
2021-09-22 00:47:21.632734 : Epoch  1, Batch    677, Loss  0.877067, Average Loss  0.892970, Time  0.234148
2021-09-22 00:47:24.243182 : Epoch  1, Batch    678, Loss  0.885990, Average Loss  0.892863, Time  0.233924
2021-09-22 00:47:26.848170 : Epoch  1, Batch    679, Loss  0.903216, Average Loss  0.892884, Time  0.234042
2021-09-22 00:47:29.517825 : Epoch  1, Batch    680, Loss  0.886572, Average Loss  0.892872, Time  0.234840
2021-09-22 00:47:32.164389 : Epoch  1, Batch    681, Loss  0.908575, Average Loss  0.892866, Time  0.234912
2021-09-22 00:47:34.748465 : Epoch  1, Batch    682, Loss  0.899037, Average Loss  0.892777, Time  0.233820
2021-09-22 00:47:37.340843 : Epoch  1, Batch    683, Loss  0.859889, Average Loss  0.892593, Time  0.234565
2021-09-22 00:47:39.948145 : Epoch  1, Batch    684, Loss  0.884517, Average Loss  0.892562, Time  0.233734
2021-09-22 00:47:42.561066 : Epoch  1, Batch    685, Loss  0.894030, Average Loss  0.892431, Time  0.234163
2021-09-22 00:47:45.189799 : Epoch  1, Batch    686, Loss  0.905383, Average Loss  0.892580, Time  0.234983
2021-09-22 00:47:47.849220 : Epoch  1, Batch    687, Loss  0.910914, Average Loss  0.892618, Time  0.237682
2021-09-22 00:47:50.451901 : Epoch  1, Batch    688, Loss  0.875016, Average Loss  0.892442, Time  0.237000
2021-09-22 00:47:53.067168 : Epoch  1, Batch    689, Loss  0.869559, Average Loss  0.892337, Time  0.236030
2021-09-22 00:47:55.679535 : Epoch  1, Batch    690, Loss  0.896879, Average Loss  0.892375, Time  0.235627
2021-09-22 00:47:58.288867 : Epoch  1, Batch    691, Loss  0.908400, Average Loss  0.892391, Time  0.235604
2021-09-22 00:48:00.940877 : Epoch  1, Batch    692, Loss  0.899008, Average Loss  0.892325, Time  0.236049
2021-09-22 00:48:03.581030 : Epoch  1, Batch    693, Loss  0.909131, Average Loss  0.892413, Time  0.234852
2021-09-22 00:48:06.193216 : Epoch  1, Batch    694, Loss  0.923353, Average Loss  0.892475, Time  0.241359
2021-09-22 00:48:08.791029 : Epoch  1, Batch    695, Loss  0.884515, Average Loss  0.892465, Time  0.234986
2021-09-22 00:48:11.393155 : Epoch  1, Batch    696, Loss  0.892637, Average Loss  0.892488, Time  0.234423
2021-09-22 00:48:13.987178 : Epoch  1, Batch    697, Loss  0.899400, Average Loss  0.892406, Time  0.234318
2021-09-22 00:48:16.640727 : Epoch  1, Batch    698, Loss  0.892881, Average Loss  0.892424, Time  0.234286
2021-09-22 00:48:19.250635 : Epoch  1, Batch    699, Loss  0.863263, Average Loss  0.892358, Time  0.235564
2021-09-22 00:48:21.889144 : Epoch  1, Batch    700, Loss  0.872952, Average Loss  0.892349, Time  0.233530
2021-09-22 00:52:27.859738 : CheckPoint: Validation Loss  0.00030323, Best Loss  0.00030323
2021-09-22 00:52:27.883039 : Best Model Updated
2021-09-22 00:52:31.148742 : Epoch  1, Batch    701, Loss  0.894014, Average Loss  0.892328, Time  0.235779
2021-09-22 00:52:33.779906 : Epoch  1, Batch    702, Loss  0.882493, Average Loss  0.892193, Time  0.235256
2021-09-22 00:52:36.406773 : Epoch  1, Batch    703, Loss  0.905732, Average Loss  0.892241, Time  0.234476
2021-09-22 00:52:39.038984 : Epoch  1, Batch    704, Loss  0.881957, Average Loss  0.892124, Time  0.235056
2021-09-22 00:52:41.634024 : Epoch  1, Batch    705, Loss  0.886169, Average Loss  0.892034, Time  0.234436
2021-09-22 00:52:44.251328 : Epoch  1, Batch    706, Loss  0.898413, Average Loss  0.892002, Time  0.236609
2021-09-22 00:52:46.857980 : Epoch  1, Batch    707, Loss  0.888722, Average Loss  0.891984, Time  0.237055
2021-09-22 00:52:49.445452 : Epoch  1, Batch    708, Loss  0.883946, Average Loss  0.892029, Time  0.234427
2021-09-22 00:52:52.085226 : Epoch  1, Batch    709, Loss  0.894803, Average Loss  0.892065, Time  0.234189
2021-09-22 00:52:54.710915 : Epoch  1, Batch    710, Loss  0.871741, Average Loss  0.891972, Time  0.234398
2021-09-22 00:52:57.306192 : Epoch  1, Batch    711, Loss  0.888486, Average Loss  0.891821, Time  0.234350
2021-09-22 00:52:59.909775 : Epoch  1, Batch    712, Loss  0.898712, Average Loss  0.891815, Time  0.234227
2021-09-22 00:53:02.541820 : Epoch  1, Batch    713, Loss  0.892018, Average Loss  0.891761, Time  0.234099
2021-09-22 00:53:05.181753 : Epoch  1, Batch    714, Loss  0.903423, Average Loss  0.891818, Time  0.238719
2021-09-22 00:53:07.794845 : Epoch  1, Batch    715, Loss  0.873091, Average Loss  0.891675, Time  0.234343
2021-09-22 00:53:10.391176 : Epoch  1, Batch    716, Loss  0.886709, Average Loss  0.891652, Time  0.234376
2021-09-22 00:53:12.987700 : Epoch  1, Batch    717, Loss  0.887924, Average Loss  0.891712, Time  0.234689
2021-09-22 00:53:15.656693 : Epoch  1, Batch    718, Loss  0.880004, Average Loss  0.891628, Time  0.235054
2021-09-22 00:53:18.250131 : Epoch  1, Batch    719, Loss  0.911715, Average Loss  0.891734, Time  0.235983
2021-09-22 00:53:20.906681 : Epoch  1, Batch    720, Loss  0.836689, Average Loss  0.891430, Time  0.234256
2021-09-22 00:53:23.518888 : Epoch  1, Batch    721, Loss  0.890749, Average Loss  0.891435, Time  0.236866
2021-09-22 00:53:26.123657 : Epoch  1, Batch    722, Loss  0.888925, Average Loss  0.891505, Time  0.234533
2021-09-22 00:53:28.750265 : Epoch  1, Batch    723, Loss  0.909831, Average Loss  0.891591, Time  0.236872
2021-09-22 00:53:31.366320 : Epoch  1, Batch    724, Loss  0.877524, Average Loss  0.891482, Time  0.238062
2021-09-22 00:53:33.978336 : Epoch  1, Batch    725, Loss  0.897401, Average Loss  0.891559, Time  0.237017
2021-09-22 00:53:36.591956 : Epoch  1, Batch    726, Loss  0.882805, Average Loss  0.891548, Time  0.235392
2021-09-22 00:53:39.239326 : Epoch  1, Batch    727, Loss  0.898193, Average Loss  0.891561, Time  0.235307
2021-09-22 00:53:41.859800 : Epoch  1, Batch    728, Loss  0.895587, Average Loss  0.891611, Time  0.236421
2021-09-22 00:53:44.469816 : Epoch  1, Batch    729, Loss  0.885536, Average Loss  0.891507, Time  0.235597
2021-09-22 00:53:47.080824 : Epoch  1, Batch    730, Loss  0.880308, Average Loss  0.891321, Time  0.234108
2021-09-22 00:53:49.674784 : Epoch  1, Batch    731, Loss  0.888271, Average Loss  0.891326, Time  0.234522
2021-09-22 00:53:52.279598 : Epoch  1, Batch    732, Loss  0.881712, Average Loss  0.891187, Time  0.236063
2021-09-22 00:53:54.887751 : Epoch  1, Batch    733, Loss  0.897209, Average Loss  0.891118, Time  0.234429
2021-09-22 00:53:57.501624 : Epoch  1, Batch    734, Loss  0.893121, Average Loss  0.891107, Time  0.234021
2021-09-22 00:54:00.106817 : Epoch  1, Batch    735, Loss  0.891510, Average Loss  0.891016, Time  0.234714
2021-09-22 00:54:02.743811 : Epoch  1, Batch    736, Loss  0.884122, Average Loss  0.890919, Time  0.233921
2021-09-22 00:54:05.347234 : Epoch  1, Batch    737, Loss  0.879049, Average Loss  0.890855, Time  0.235797
2021-09-22 00:54:07.954738 : Epoch  1, Batch    738, Loss  0.881668, Average Loss  0.890720, Time  0.234990
2021-09-22 00:54:10.576876 : Epoch  1, Batch    739, Loss  0.880617, Average Loss  0.890621, Time  0.234625
2021-09-22 00:54:13.182126 : Epoch  1, Batch    740, Loss  0.883973, Average Loss  0.890587, Time  0.233768
2021-09-22 00:54:15.779436 : Epoch  1, Batch    741, Loss  0.892380, Average Loss  0.890520, Time  0.234375
2021-09-22 00:54:18.398593 : Epoch  1, Batch    742, Loss  0.904727, Average Loss  0.890611, Time  0.234514
2021-09-22 00:54:21.004869 : Epoch  1, Batch    743, Loss  0.887198, Average Loss  0.890433, Time  0.234747
2021-09-22 00:54:23.613938 : Epoch  1, Batch    744, Loss  0.894902, Average Loss  0.890410, Time  0.234358
2021-09-22 00:54:26.214726 : Epoch  1, Batch    745, Loss  0.882088, Average Loss  0.890306, Time  0.235735
2021-09-22 00:54:28.840877 : Epoch  1, Batch    746, Loss  0.887647, Average Loss  0.890237, Time  0.235358
2021-09-22 00:54:31.460077 : Epoch  1, Batch    747, Loss  0.889816, Average Loss  0.890212, Time  0.238298
2021-09-22 00:54:34.056042 : Epoch  1, Batch    748, Loss  0.899071, Average Loss  0.890186, Time  0.235011
2021-09-22 00:54:36.652577 : Epoch  1, Batch    749, Loss  0.882209, Average Loss  0.890086, Time  0.234192
2021-09-22 00:54:39.254420 : Epoch  1, Batch    750, Loss  0.874397, Average Loss  0.890026, Time  0.235494
2021-09-22 00:54:41.943494 : Epoch  1, Batch    751, Loss  0.893683, Average Loss  0.889974, Time  0.236296
2021-09-22 00:54:44.596547 : Epoch  1, Batch    752, Loss  0.879545, Average Loss  0.889877, Time  0.235465
2021-09-22 00:54:47.215384 : Epoch  1, Batch    753, Loss  0.877451, Average Loss  0.889667, Time  0.235085
2021-09-22 00:54:49.813046 : Epoch  1, Batch    754, Loss  0.895913, Average Loss  0.889698, Time  0.234787
2021-09-22 00:54:52.424147 : Epoch  1, Batch    755, Loss  0.887130, Average Loss  0.889645, Time  0.234132
2021-09-22 00:54:55.022043 : Epoch  1, Batch    756, Loss  0.895517, Average Loss  0.889543, Time  0.234112
2021-09-22 00:54:57.624082 : Epoch  1, Batch    757, Loss  0.890673, Average Loss  0.889466, Time  0.234175
2021-09-22 00:55:00.215821 : Epoch  1, Batch    758, Loss  0.881332, Average Loss  0.889408, Time  0.234694
2021-09-22 00:55:02.853150 : Epoch  1, Batch    759, Loss  0.866349, Average Loss  0.889436, Time  0.235646
2021-09-22 00:55:05.481810 : Epoch  1, Batch    760, Loss  0.881613, Average Loss  0.889392, Time  0.235138
2021-09-22 00:55:08.105436 : Epoch  1, Batch    761, Loss  0.890570, Average Loss  0.889365, Time  0.234362
2021-09-22 00:55:10.697887 : Epoch  1, Batch    762, Loss  0.863384, Average Loss  0.889234, Time  0.234436
2021-09-22 00:55:13.407061 : Epoch  1, Batch    763, Loss  0.874138, Average Loss  0.889084, Time  0.236613
2021-09-22 00:55:16.000804 : Epoch  1, Batch    764, Loss  0.872381, Average Loss  0.888908, Time  0.233995
2021-09-22 00:55:18.616805 : Epoch  1, Batch    765, Loss  0.889435, Average Loss  0.888973, Time  0.234486
2021-09-22 00:55:21.218196 : Epoch  1, Batch    766, Loss  0.868245, Average Loss  0.888912, Time  0.234286
2021-09-22 00:55:23.813898 : Epoch  1, Batch    767, Loss  0.875043, Average Loss  0.888802, Time  0.234135
2021-09-22 00:55:26.435764 : Epoch  1, Batch    768, Loss  0.859461, Average Loss  0.888659, Time  0.235268
2021-09-22 00:55:29.047338 : Epoch  1, Batch    769, Loss  0.873686, Average Loss  0.888602, Time  0.234876
2021-09-22 00:55:31.671526 : Epoch  1, Batch    770, Loss  0.904448, Average Loss  0.888615, Time  0.235942
2021-09-22 00:55:34.263286 : Epoch  1, Batch    771, Loss  0.885726, Average Loss  0.888329, Time  0.235514
2021-09-22 00:55:36.902641 : Epoch  1, Batch    772, Loss  0.883154, Average Loss  0.888218, Time  0.234886
2021-09-22 00:55:39.576176 : Epoch  1, Batch    773, Loss  0.890286, Average Loss  0.888301, Time  0.234551
2021-09-22 00:55:42.219053 : Epoch  1, Batch    774, Loss  0.907340, Average Loss  0.888290, Time  0.234778
2021-09-22 00:55:44.815301 : Epoch  1, Batch    775, Loss  0.877480, Average Loss  0.888254, Time  0.234389
2021-09-22 00:55:47.407107 : Epoch  1, Batch    776, Loss  0.881353, Average Loss  0.888183, Time  0.234615
2021-09-22 00:55:50.042081 : Epoch  1, Batch    777, Loss  0.871757, Average Loss  0.888145, Time  0.234449
2021-09-22 00:55:52.671786 : Epoch  1, Batch    778, Loss  0.867889, Average Loss  0.888065, Time  0.234069
2021-09-22 00:55:55.272514 : Epoch  1, Batch    779, Loss  0.880435, Average Loss  0.887984, Time  0.236179
2021-09-22 00:55:57.877729 : Epoch  1, Batch    780, Loss  0.877162, Average Loss  0.887932, Time  0.234210
2021-09-22 00:56:00.504232 : Epoch  1, Batch    781, Loss  0.869115, Average Loss  0.887818, Time  0.236481
2021-09-22 00:56:03.125530 : Epoch  1, Batch    782, Loss  0.888451, Average Loss  0.887709, Time  0.235109
2021-09-22 00:56:05.746876 : Epoch  1, Batch    783, Loss  0.887159, Average Loss  0.887548, Time  0.236153
2021-09-22 00:56:08.403193 : Epoch  1, Batch    784, Loss  0.893609, Average Loss  0.887564, Time  0.234382
2021-09-22 00:56:11.038920 : Epoch  1, Batch    785, Loss  0.878270, Average Loss  0.887518, Time  0.237145
2021-09-22 00:56:13.714015 : Epoch  1, Batch    786, Loss  0.882493, Average Loss  0.887469, Time  0.234782
2021-09-22 00:56:16.332179 : Epoch  1, Batch    787, Loss  0.875781, Average Loss  0.887401, Time  0.235477
2021-09-22 00:56:19.059225 : Epoch  1, Batch    788, Loss  0.870579, Average Loss  0.887344, Time  0.238538
2021-09-22 00:56:21.697724 : Epoch  1, Batch    789, Loss  0.875441, Average Loss  0.887333, Time  0.235855
2021-09-22 00:56:24.330222 : Epoch  1, Batch    790, Loss  0.885915, Average Loss  0.887301, Time  0.237159
2021-09-22 00:56:26.958336 : Epoch  1, Batch    791, Loss  0.912478, Average Loss  0.887470, Time  0.252736
2021-09-22 00:56:29.566479 : Epoch  1, Batch    792, Loss  0.857926, Average Loss  0.887296, Time  0.235198
2021-09-22 00:56:32.172257 : Epoch  1, Batch    793, Loss  0.899264, Average Loss  0.887365, Time  0.235531
2021-09-22 00:56:34.822110 : Epoch  1, Batch    794, Loss  0.887964, Average Loss  0.887360, Time  0.234205
2021-09-22 00:56:37.481113 : Epoch  1, Batch    795, Loss  0.898134, Average Loss  0.887455, Time  0.236753
2021-09-22 00:56:40.115045 : Epoch  1, Batch    796, Loss  0.898541, Average Loss  0.887412, Time  0.240130
2021-09-22 00:56:42.761950 : Epoch  1, Batch    797, Loss  0.892529, Average Loss  0.887463, Time  0.235854
2021-09-22 00:56:45.426757 : Epoch  1, Batch    798, Loss  0.888082, Average Loss  0.887404, Time  0.237959
2021-09-22 00:56:48.058263 : Epoch  1, Batch    799, Loss  0.878764, Average Loss  0.887354, Time  0.234285
2021-09-22 00:56:50.712828 : Epoch  1, Batch    800, Loss  0.873266, Average Loss  0.887278, Time  0.236269
2021-09-22 01:00:55.890221 : CheckPoint: Validation Loss  0.00030191, Best Loss  0.00030191
2021-09-22 01:00:55.914575 : Best Model Updated
2021-09-22 01:00:59.140110 : Epoch  1, Batch    801, Loss  0.892046, Average Loss  0.887295, Time  0.235688
2021-09-22 01:01:01.798922 : Epoch  1, Batch    802, Loss  0.887738, Average Loss  0.887189, Time  0.234209
2021-09-22 01:01:04.426113 : Epoch  1, Batch    803, Loss  0.887850, Average Loss  0.887155, Time  0.235463
2021-09-22 01:01:07.023899 : Epoch  1, Batch    804, Loss  0.877935, Average Loss  0.887212, Time  0.234297
2021-09-22 01:01:09.639714 : Epoch  1, Batch    805, Loss  0.883184, Average Loss  0.887126, Time  0.234547
2021-09-22 01:01:12.264192 : Epoch  1, Batch    806, Loss  0.869434, Average Loss  0.887105, Time  0.237316
2021-09-22 01:01:14.867752 : Epoch  1, Batch    807, Loss  0.864072, Average Loss  0.887043, Time  0.237170
2021-09-22 01:01:17.475221 : Epoch  1, Batch    808, Loss  0.879371, Average Loss  0.887035, Time  0.234637
2021-09-22 01:01:20.143141 : Epoch  1, Batch    809, Loss  0.896294, Average Loss  0.887142, Time  0.234622
2021-09-22 01:01:22.748755 : Epoch  1, Batch    810, Loss  0.879620, Average Loss  0.887114, Time  0.233837
2021-09-22 01:01:25.353861 : Epoch  1, Batch    811, Loss  0.886069, Average Loss  0.887168, Time  0.234002
2021-09-22 01:01:27.971824 : Epoch  1, Batch    812, Loss  0.874834, Average Loss  0.886991, Time  0.234211
2021-09-22 01:01:30.575481 : Epoch  1, Batch    813, Loss  0.880096, Average Loss  0.886866, Time  0.236614
2021-09-22 01:01:33.187226 : Epoch  1, Batch    814, Loss  0.911778, Average Loss  0.886959, Time  0.237340
2021-09-22 01:01:35.776595 : Epoch  1, Batch    815, Loss  0.888184, Average Loss  0.886937, Time  0.235956
2021-09-22 01:01:38.365871 : Epoch  1, Batch    816, Loss  0.897150, Average Loss  0.887043, Time  0.238118
2021-09-22 01:01:40.987134 : Epoch  1, Batch    817, Loss  0.855546, Average Loss  0.886786, Time  0.241627
2021-09-22 01:01:43.604404 : Epoch  1, Batch    818, Loss  0.889568, Average Loss  0.886737, Time  0.235909
2021-09-22 01:01:46.262853 : Epoch  1, Batch    819, Loss  0.902568, Average Loss  0.886897, Time  0.236981
2021-09-22 01:01:48.891790 : Epoch  1, Batch    820, Loss  0.891516, Average Loss  0.886822, Time  0.234822
2021-09-22 01:01:51.485829 : Epoch  1, Batch    821, Loss  0.867958, Average Loss  0.886801, Time  0.234943
2021-09-22 01:01:54.075615 : Epoch  1, Batch    822, Loss  0.888421, Average Loss  0.886799, Time  0.234264
2021-09-22 01:01:56.677780 : Epoch  1, Batch    823, Loss  0.882995, Average Loss  0.886899, Time  0.234598
2021-09-22 01:01:59.323039 : Epoch  1, Batch    824, Loss  0.904497, Average Loss  0.886968, Time  0.257007
2021-09-22 01:02:01.953828 : Epoch  1, Batch    825, Loss  0.880966, Average Loss  0.886916, Time  0.234367
2021-09-22 01:02:04.550757 : Epoch  1, Batch    826, Loss  0.894020, Average Loss  0.886958, Time  0.233962
2021-09-22 01:02:07.133692 : Epoch  1, Batch    827, Loss  0.897396, Average Loss  0.886986, Time  0.234108
2021-09-22 01:02:09.751262 : Epoch  1, Batch    828, Loss  0.881833, Average Loss  0.886984, Time  0.238528
2021-09-22 01:02:12.358741 : Epoch  1, Batch    829, Loss  0.889196, Average Loss  0.886978, Time  0.234857
2021-09-22 01:02:14.997793 : Epoch  1, Batch    830, Loss  0.891645, Average Loss  0.886925, Time  0.237925
2021-09-22 01:02:17.657464 : Epoch  1, Batch    831, Loss  0.879969, Average Loss  0.886824, Time  0.235300
2021-09-22 01:02:20.249964 : Epoch  1, Batch    832, Loss  0.881985, Average Loss  0.886685, Time  0.235253
2021-09-22 01:02:22.872760 : Epoch  1, Batch    833, Loss  0.877401, Average Loss  0.886597, Time  0.237622
2021-09-22 01:02:25.494869 : Epoch  1, Batch    834, Loss  0.884635, Average Loss  0.886681, Time  0.234827
2021-09-22 01:02:28.116708 : Epoch  1, Batch    835, Loss  0.863680, Average Loss  0.886583, Time  0.236407
2021-09-22 01:02:30.717751 : Epoch  1, Batch    836, Loss  0.860231, Average Loss  0.886482, Time  0.234130
2021-09-22 01:02:33.316422 : Epoch  1, Batch    837, Loss  0.902646, Average Loss  0.886646, Time  0.234736
2021-09-22 01:02:35.998118 : Epoch  1, Batch    838, Loss  0.868639, Average Loss  0.886507, Time  0.234869
2021-09-22 01:02:38.593466 : Epoch  1, Batch    839, Loss  0.882230, Average Loss  0.886465, Time  0.234368
2021-09-22 01:02:41.203897 : Epoch  1, Batch    840, Loss  0.876252, Average Loss  0.886431, Time  0.239322
2021-09-22 01:02:43.812924 : Epoch  1, Batch    841, Loss  0.896330, Average Loss  0.886414, Time  0.235521
2021-09-22 01:02:46.426259 : Epoch  1, Batch    842, Loss  0.882345, Average Loss  0.886457, Time  0.234270
2021-09-22 01:02:49.058416 : Epoch  1, Batch    843, Loss  0.872171, Average Loss  0.886378, Time  0.235364
2021-09-22 01:02:51.665235 : Epoch  1, Batch    844, Loss  0.870650, Average Loss  0.886327, Time  0.234489
2021-09-22 01:02:54.273189 : Epoch  1, Batch    845, Loss  0.871341, Average Loss  0.886224, Time  0.234489
2021-09-22 01:02:56.876884 : Epoch  1, Batch    846, Loss  0.907941, Average Loss  0.886293, Time  0.234294
2021-09-22 01:02:59.513919 : Epoch  1, Batch    847, Loss  0.890209, Average Loss  0.886353, Time  0.237198
2021-09-22 01:03:02.127273 : Epoch  1, Batch    848, Loss  0.893500, Average Loss  0.886317, Time  0.239917
2021-09-22 01:03:04.743305 : Epoch  1, Batch    849, Loss  0.871716, Average Loss  0.886186, Time  0.250460
2021-09-22 01:03:07.361343 : Epoch  1, Batch    850, Loss  0.880943, Average Loss  0.886146, Time  0.234804
2021-09-22 01:03:09.971885 : Epoch  1, Batch    851, Loss  0.889981, Average Loss  0.886080, Time  0.236880
2021-09-22 01:03:12.580043 : Epoch  1, Batch    852, Loss  0.906669, Average Loss  0.886164, Time  0.234214
2021-09-22 01:03:15.189297 : Epoch  1, Batch    853, Loss  0.875330, Average Loss  0.886077, Time  0.235186
2021-09-22 01:03:17.801825 : Epoch  1, Batch    854, Loss  0.888688, Average Loss  0.886044, Time  0.234947
2021-09-22 01:03:20.414790 : Epoch  1, Batch    855, Loss  0.865264, Average Loss  0.885982, Time  0.235094
2021-09-22 01:03:23.019812 : Epoch  1, Batch    856, Loss  0.871176, Average Loss  0.885913, Time  0.234536
2021-09-22 01:03:25.626082 : Epoch  1, Batch    857, Loss  0.890825, Average Loss  0.886068, Time  0.233967
2021-09-22 01:03:28.227791 : Epoch  1, Batch    858, Loss  0.852720, Average Loss  0.885783, Time  0.236152
2021-09-22 01:03:30.828822 : Epoch  1, Batch    859, Loss  0.877711, Average Loss  0.885814, Time  0.234230
2021-09-22 01:03:33.439721 : Epoch  1, Batch    860, Loss  0.862975, Average Loss  0.885766, Time  0.235131
2021-09-22 01:03:36.091876 : Epoch  1, Batch    861, Loss  0.891334, Average Loss  0.885841, Time  0.253809
2021-09-22 01:03:38.686984 : Epoch  1, Batch    862, Loss  0.902095, Average Loss  0.885906, Time  0.240177
2021-09-22 01:03:41.352598 : Epoch  1, Batch    863, Loss  0.890010, Average Loss  0.885889, Time  0.242018
2021-09-22 01:03:44.016764 : Epoch  1, Batch    864, Loss  0.871444, Average Loss  0.885840, Time  0.236706
2021-09-22 01:03:46.655212 : Epoch  1, Batch    865, Loss  0.874127, Average Loss  0.885728, Time  0.237481
2021-09-22 01:03:49.377359 : Epoch  1, Batch    866, Loss  0.876500, Average Loss  0.885665, Time  0.234300
2021-09-22 01:03:51.997956 : Epoch  1, Batch    867, Loss  0.893340, Average Loss  0.885653, Time  0.235432
2021-09-22 01:03:54.594678 : Epoch  1, Batch    868, Loss  0.878113, Average Loss  0.885619, Time  0.235553
2021-09-22 01:03:57.230960 : Epoch  1, Batch    869, Loss  0.883469, Average Loss  0.885524, Time  0.239359
2021-09-22 01:03:59.856387 : Epoch  1, Batch    870, Loss  0.861575, Average Loss  0.885316, Time  0.236503
2021-09-22 01:04:02.523780 : Epoch  1, Batch    871, Loss  0.859890, Average Loss  0.885145, Time  0.245233
2021-09-22 01:04:05.140384 : Epoch  1, Batch    872, Loss  0.879411, Average Loss  0.885053, Time  0.234546
2021-09-22 01:04:07.785229 : Epoch  1, Batch    873, Loss  0.907163, Average Loss  0.885185, Time  0.234664
2021-09-22 01:04:10.385126 : Epoch  1, Batch    874, Loss  0.865959, Average Loss  0.885091, Time  0.235148
2021-09-22 01:04:12.992053 : Epoch  1, Batch    875, Loss  0.902188, Average Loss  0.885180, Time  0.237978
2021-09-22 01:04:15.608382 : Epoch  1, Batch    876, Loss  0.879334, Average Loss  0.885169, Time  0.235158
2021-09-22 01:04:18.239312 : Epoch  1, Batch    877, Loss  0.893071, Average Loss  0.885249, Time  0.237676
2021-09-22 01:04:20.832759 : Epoch  1, Batch    878, Loss  0.889438, Average Loss  0.885266, Time  0.234602
2021-09-22 01:04:23.561730 : Epoch  1, Batch    879, Loss  0.882810, Average Loss  0.885164, Time  0.234133
2021-09-22 01:04:26.273382 : Epoch  1, Batch    880, Loss  0.879075, Average Loss  0.885126, Time  0.233963
2021-09-22 01:04:28.899871 : Epoch  1, Batch    881, Loss  0.876477, Average Loss  0.884966, Time  0.234418
2021-09-22 01:04:31.574443 : Epoch  1, Batch    882, Loss  0.879023, Average Loss  0.884866, Time  0.235073
2021-09-22 01:04:34.253284 : Epoch  1, Batch    883, Loss  0.885443, Average Loss  0.884994, Time  0.237606
2021-09-22 01:04:36.866225 : Epoch  1, Batch    884, Loss  0.884163, Average Loss  0.884992, Time  0.236217
2021-09-22 01:04:39.653406 : Epoch  1, Batch    885, Loss  0.892857, Average Loss  0.884986, Time  0.269194
2021-09-22 01:04:42.258750 : Epoch  1, Batch    886, Loss  0.861438, Average Loss  0.884766, Time  0.236948
2021-09-22 01:04:44.852214 : Epoch  1, Batch    887, Loss  0.898053, Average Loss  0.884702, Time  0.234231
2021-09-22 01:04:47.483332 : Epoch  1, Batch    888, Loss  0.892921, Average Loss  0.884791, Time  0.234887
2021-09-22 01:04:50.112008 : Epoch  1, Batch    889, Loss  0.875776, Average Loss  0.884822, Time  0.235439
2021-09-22 01:04:52.794780 : Epoch  1, Batch    890, Loss  0.911787, Average Loss  0.884897, Time  0.235329
2021-09-22 01:04:55.412120 : Epoch  1, Batch    891, Loss  0.887007, Average Loss  0.884790, Time  0.235896
2021-09-22 01:04:58.020916 : Epoch  1, Batch    892, Loss  0.882277, Average Loss  0.884706, Time  0.235494
2021-09-22 01:05:00.618015 : Epoch  1, Batch    893, Loss  0.884487, Average Loss  0.884583, Time  0.234941
2021-09-22 01:05:03.232900 : Epoch  1, Batch    894, Loss  0.872701, Average Loss  0.884330, Time  0.234793
2021-09-22 01:05:05.870840 : Epoch  1, Batch    895, Loss  0.882071, Average Loss  0.884318, Time  0.237186
2021-09-22 01:05:08.484038 : Epoch  1, Batch    896, Loss  0.892136, Average Loss  0.884315, Time  0.235009
2021-09-22 01:05:11.121867 : Epoch  1, Batch    897, Loss  0.871841, Average Loss  0.884177, Time  0.236236
2021-09-22 01:05:13.739999 : Epoch  1, Batch    898, Loss  0.876979, Average Loss  0.884098, Time  0.238306
2021-09-22 01:05:16.360241 : Epoch  1, Batch    899, Loss  0.867203, Average Loss  0.884118, Time  0.234538
2021-09-22 01:05:18.966951 : Epoch  1, Batch    900, Loss  0.862321, Average Loss  0.884064, Time  0.234326
2021-09-22 01:09:24.483726 : CheckPoint: Validation Loss  0.00030063, Best Loss  0.00030063
2021-09-22 01:09:24.512882 : Best Model Updated
2021-09-22 01:09:27.788936 : Epoch  1, Batch    901, Loss  0.881767, Average Loss  0.884003, Time  0.236035
2021-09-22 01:09:30.404861 : Epoch  1, Batch    902, Loss  0.856416, Average Loss  0.883873, Time  0.234701
2021-09-22 01:09:33.020902 : Epoch  1, Batch    903, Loss  0.848927, Average Loss  0.883589, Time  0.234625
2021-09-22 01:09:35.633938 : Epoch  1, Batch    904, Loss  0.908709, Average Loss  0.883723, Time  0.236797
2021-09-22 01:09:38.247891 : Epoch  1, Batch    905, Loss  0.876235, Average Loss  0.883673, Time  0.234857
2021-09-22 01:09:40.862728 : Epoch  1, Batch    906, Loss  0.886284, Average Loss  0.883612, Time  0.235764
2021-09-22 01:09:43.481335 : Epoch  1, Batch    907, Loss  0.869268, Average Loss  0.883515, Time  0.236646
2021-09-22 01:09:46.109007 : Epoch  1, Batch    908, Loss  0.894348, Average Loss  0.883567, Time  0.235565
2021-09-22 01:09:48.749711 : Epoch  1, Batch    909, Loss  0.885371, Average Loss  0.883520, Time  0.237015
2021-09-22 01:09:51.474824 : Epoch  1, Batch    910, Loss  0.890086, Average Loss  0.883612, Time  0.234637
2021-09-22 01:09:54.117100 : Epoch  1, Batch    911, Loss  0.878295, Average Loss  0.883561, Time  0.234514
2021-09-22 01:09:56.732120 : Epoch  1, Batch    912, Loss  0.886934, Average Loss  0.883502, Time  0.236245
2021-09-22 01:09:59.357260 : Epoch  1, Batch    913, Loss  0.867412, Average Loss  0.883379, Time  0.237824
2021-09-22 01:10:01.979923 : Epoch  1, Batch    914, Loss  0.882076, Average Loss  0.883272, Time  0.238663
2021-09-22 01:10:04.615893 : Epoch  1, Batch    915, Loss  0.902718, Average Loss  0.883420, Time  0.234833
2021-09-22 01:10:07.240129 : Epoch  1, Batch    916, Loss  0.884195, Average Loss  0.883408, Time  0.235471
2021-09-22 01:10:09.843452 : Epoch  1, Batch    917, Loss  0.878768, Average Loss  0.883362, Time  0.235341
2021-09-22 01:10:12.484936 : Epoch  1, Batch    918, Loss  0.872614, Average Loss  0.883325, Time  0.235247
2021-09-22 01:10:15.088259 : Epoch  1, Batch    919, Loss  0.900812, Average Loss  0.883270, Time  0.234746
2021-09-22 01:10:17.692790 : Epoch  1, Batch    920, Loss  0.877500, Average Loss  0.883474, Time  0.235085
2021-09-22 01:10:20.311957 : Epoch  1, Batch    921, Loss  0.873047, Average Loss  0.883386, Time  0.234853
2021-09-22 01:10:22.915786 : Epoch  1, Batch    922, Loss  0.884577, Average Loss  0.883364, Time  0.234774
2021-09-22 01:10:25.522605 : Epoch  1, Batch    923, Loss  0.855871, Average Loss  0.883094, Time  0.234783
2021-09-22 01:10:28.168179 : Epoch  1, Batch    924, Loss  0.867545, Average Loss  0.883044, Time  0.234923
2021-09-22 01:10:30.771555 : Epoch  1, Batch    925, Loss  0.876901, Average Loss  0.882942, Time  0.234658
2021-09-22 01:10:33.395021 : Epoch  1, Batch    926, Loss  0.884401, Average Loss  0.882950, Time  0.234618
2021-09-22 01:10:36.070622 : Epoch  1, Batch    927, Loss  0.886305, Average Loss  0.882890, Time  0.235995
2021-09-22 01:10:38.750437 : Epoch  1, Batch    928, Loss  0.886821, Average Loss  0.882847, Time  0.246918
2021-09-22 01:10:41.539144 : Epoch  1, Batch    929, Loss  0.877640, Average Loss  0.882807, Time  0.236782
2021-09-22 01:10:44.181660 : Epoch  1, Batch    930, Loss  0.865645, Average Loss  0.882734, Time  0.235622
2021-09-22 01:10:46.856390 : Epoch  1, Batch    931, Loss  0.890532, Average Loss  0.882745, Time  0.281721
2021-09-22 01:10:49.473885 : Epoch  1, Batch    932, Loss  0.900109, Average Loss  0.882837, Time  0.235456
2021-09-22 01:10:52.192236 : Epoch  1, Batch    933, Loss  0.874172, Average Loss  0.882722, Time  0.235683
2021-09-22 01:10:54.816804 : Epoch  1, Batch    934, Loss  0.882296, Average Loss  0.882668, Time  0.235745
2021-09-22 01:10:57.432277 : Epoch  1, Batch    935, Loss  0.884335, Average Loss  0.882632, Time  0.237111
2021-09-22 01:11:00.040341 : Epoch  1, Batch    936, Loss  0.862681, Average Loss  0.882525, Time  0.234627
2021-09-22 01:11:02.658066 : Epoch  1, Batch    937, Loss  0.875548, Average Loss  0.882507, Time  0.235327
2021-09-22 01:11:05.276677 : Epoch  1, Batch    938, Loss  0.852625, Average Loss  0.882362, Time  0.235309
2021-09-22 01:11:07.891883 : Epoch  1, Batch    939, Loss  0.881960, Average Loss  0.882369, Time  0.234895
2021-09-22 01:11:10.508907 : Epoch  1, Batch    940, Loss  0.868470, Average Loss  0.882291, Time  0.235275
2021-09-22 01:11:13.111992 : Epoch  1, Batch    941, Loss  0.883477, Average Loss  0.882247, Time  0.235258
2021-09-22 01:11:15.733373 : Epoch  1, Batch    942, Loss  0.892637, Average Loss  0.882186, Time  0.234991
2021-09-22 01:11:18.362794 : Epoch  1, Batch    943, Loss  0.880564, Average Loss  0.882153, Time  0.234508
2021-09-22 01:11:20.997979 : Epoch  1, Batch    944, Loss  0.882014, Average Loss  0.882089, Time  0.235036
2021-09-22 01:11:23.615374 : Epoch  1, Batch    945, Loss  0.868594, Average Loss  0.882021, Time  0.235311
2021-09-22 01:11:26.220227 : Epoch  1, Batch    946, Loss  0.888232, Average Loss  0.882024, Time  0.234986
2021-09-22 01:11:28.827239 : Epoch  1, Batch    947, Loss  0.873905, Average Loss  0.881945, Time  0.234844
2021-09-22 01:11:31.498953 : Epoch  1, Batch    948, Loss  0.887439, Average Loss  0.881886, Time  0.235229
2021-09-22 01:11:34.145000 : Epoch  1, Batch    949, Loss  0.890231, Average Loss  0.881926, Time  0.235850
2021-09-22 01:11:36.757642 : Epoch  1, Batch    950, Loss  0.886222, Average Loss  0.881986, Time  0.235044
2021-09-22 01:11:39.371347 : Epoch  1, Batch    951, Loss  0.880024, Average Loss  0.881917, Time  0.236133
2021-09-22 01:11:41.982774 : Epoch  1, Batch    952, Loss  0.852300, Average Loss  0.881781, Time  0.235409
2021-09-22 01:11:44.619174 : Epoch  1, Batch    953, Loss  0.856638, Average Loss  0.881677, Time  0.235899
2021-09-22 01:11:47.238924 : Epoch  1, Batch    954, Loss  0.881890, Average Loss  0.881607, Time  0.235622
2021-09-22 01:11:49.852283 : Epoch  1, Batch    955, Loss  0.898351, Average Loss  0.881663, Time  0.234902
2021-09-22 01:11:52.469394 : Epoch  1, Batch    956, Loss  0.881299, Average Loss  0.881592, Time  0.235492
2021-09-22 01:11:55.095874 : Epoch  1, Batch    957, Loss  0.862878, Average Loss  0.881453, Time  0.235694
2021-09-22 01:11:57.742061 : Epoch  1, Batch    958, Loss  0.867456, Average Loss  0.881384, Time  0.235861
2021-09-22 01:12:00.358806 : Epoch  1, Batch    959, Loss  0.893163, Average Loss  0.881518, Time  0.235422
2021-09-22 01:12:02.982375 : Epoch  1, Batch    960, Loss  0.884989, Average Loss  0.881535, Time  0.235298
2021-09-22 01:12:05.597984 : Epoch  1, Batch    961, Loss  0.869236, Average Loss  0.881428, Time  0.235492
2021-09-22 01:12:08.210517 : Epoch  1, Batch    962, Loss  0.896735, Average Loss  0.881595, Time  0.235232
2021-09-22 01:12:10.822531 : Epoch  1, Batch    963, Loss  0.884114, Average Loss  0.881644, Time  0.234985
2021-09-22 01:12:13.441341 : Epoch  1, Batch    964, Loss  0.864743, Average Loss  0.881606, Time  0.234755
2021-09-22 01:12:16.046491 : Epoch  1, Batch    965, Loss  0.895078, Average Loss  0.881635, Time  0.235060
2021-09-22 01:12:18.657983 : Epoch  1, Batch    966, Loss  0.858078, Average Loss  0.881584, Time  0.235915
2021-09-22 01:12:21.263501 : Epoch  1, Batch    967, Loss  0.877107, Average Loss  0.881594, Time  0.235107
2021-09-22 01:12:23.872271 : Epoch  1, Batch    968, Loss  0.884279, Average Loss  0.881718, Time  0.235127
2021-09-22 01:12:26.485145 : Epoch  1, Batch    969, Loss  0.852424, Average Loss  0.881612, Time  0.236137
2021-09-22 01:12:29.100062 : Epoch  1, Batch    970, Loss  0.883719, Average Loss  0.881508, Time  0.235194
2021-09-22 01:12:31.718960 : Epoch  1, Batch    971, Loss  0.863687, Average Loss  0.881398, Time  0.234990
2021-09-22 01:12:34.338867 : Epoch  1, Batch    972, Loss  0.877553, Average Loss  0.881370, Time  0.235474
2021-09-22 01:12:36.950295 : Epoch  1, Batch    973, Loss  0.886583, Average Loss  0.881351, Time  0.234708
2021-09-22 01:12:39.591214 : Epoch  1, Batch    974, Loss  0.894268, Average Loss  0.881286, Time  0.236361
2021-09-22 01:12:42.217102 : Epoch  1, Batch    975, Loss  0.883340, Average Loss  0.881315, Time  0.235309
2021-09-22 01:12:44.834822 : Epoch  1, Batch    976, Loss  0.893975, Average Loss  0.881378, Time  0.235859
2021-09-22 01:12:47.455392 : Epoch  1, Batch    977, Loss  0.890121, Average Loss  0.881470, Time  0.235501
2021-09-22 01:12:50.075812 : Epoch  1, Batch    978, Loss  0.875652, Average Loss  0.881509, Time  0.235447
2021-09-22 01:12:52.698070 : Epoch  1, Batch    979, Loss  0.857102, Average Loss  0.881392, Time  0.235527
2021-09-22 01:12:55.316175 : Epoch  1, Batch    980, Loss  0.880814, Average Loss  0.881411, Time  0.235551
2021-09-22 01:12:57.950108 : Epoch  1, Batch    981, Loss  0.874446, Average Loss  0.881437, Time  0.235380
2021-09-22 01:13:00.567147 : Epoch  1, Batch    982, Loss  0.883694, Average Loss  0.881414, Time  0.235184
2021-09-22 01:13:03.179370 : Epoch  1, Batch    983, Loss  0.886284, Average Loss  0.881409, Time  0.235412
2021-09-22 01:13:05.799342 : Epoch  1, Batch    984, Loss  0.875452, Average Loss  0.881318, Time  0.235132
2021-09-22 01:13:08.420365 : Epoch  1, Batch    985, Loss  0.878741, Average Loss  0.881321, Time  0.235429
2021-09-22 01:13:11.025052 : Epoch  1, Batch    986, Loss  0.859815, Average Loss  0.881207, Time  0.234824
2021-09-22 01:13:13.634108 : Epoch  1, Batch    987, Loss  0.864640, Average Loss  0.881152, Time  0.236330
2021-09-22 01:13:16.247170 : Epoch  1, Batch    988, Loss  0.885356, Average Loss  0.881226, Time  0.234818
2021-09-22 01:13:18.848441 : Epoch  1, Batch    989, Loss  0.867654, Average Loss  0.881187, Time  0.235685
2021-09-22 01:13:21.464805 : Epoch  1, Batch    990, Loss  0.882382, Average Loss  0.881169, Time  0.235222
2021-09-22 01:13:24.073117 : Epoch  1, Batch    991, Loss  0.900475, Average Loss  0.881109, Time  0.235324
2021-09-22 01:13:26.686170 : Epoch  1, Batch    992, Loss  0.903775, Average Loss  0.881338, Time  0.235269
2021-09-22 01:13:29.306344 : Epoch  1, Batch    993, Loss  0.881588, Average Loss  0.881250, Time  0.235021
2021-09-22 01:13:31.926004 : Epoch  1, Batch    994, Loss  0.885179, Average Loss  0.881236, Time  0.235309
2021-09-22 01:13:34.577961 : Epoch  1, Batch    995, Loss  0.864718, Average Loss  0.881069, Time  0.235761
2021-09-22 01:13:37.206622 : Epoch  1, Batch    996, Loss  0.911655, Average Loss  0.881134, Time  0.235749
2021-09-22 01:13:39.832198 : Epoch  1, Batch    997, Loss  0.878633, Average Loss  0.881065, Time  0.235423
2021-09-22 01:13:42.451517 : Epoch  1, Batch    998, Loss  0.900628, Average Loss  0.881128, Time  0.235901
2021-09-22 01:13:45.067011 : Epoch  1, Batch    999, Loss  0.865565, Average Loss  0.881062, Time  0.235370
2021-09-22 01:13:56.329959 : Epoch  1, Batch   1000, Loss  0.867691, Average Loss  0.881034, Time  0.269945
2021-09-22 01:17:59.099717 : CheckPoint: Validation Loss  0.00029833, Best Loss  0.00029833
2021-09-22 01:17:59.140551 : Best Model Updated
2021-09-22 01:18:02.361949 : Epoch  1, Batch   1001, Loss  0.887801, Average Loss  0.881012, Time  0.243000
2021-09-22 01:18:04.976987 : Epoch  1, Batch   1002, Loss  0.888497, Average Loss  0.881016, Time  0.234413
2021-09-22 01:18:07.589435 : Epoch  1, Batch   1003, Loss  0.871225, Average Loss  0.880933, Time  0.234901
2021-09-22 01:18:10.216312 : Epoch  1, Batch   1004, Loss  0.878243, Average Loss  0.880935, Time  0.234697
2021-09-22 01:18:12.826127 : Epoch  1, Batch   1005, Loss  0.882737, Average Loss  0.880932, Time  0.234753
2021-09-22 01:18:15.459060 : Epoch  1, Batch   1006, Loss  0.887954, Average Loss  0.881025, Time  0.234852
2021-09-22 01:18:18.082951 : Epoch  1, Batch   1007, Loss  0.866934, Average Loss  0.881039, Time  0.234874
2021-09-22 01:18:20.726360 : Epoch  1, Batch   1008, Loss  0.881796, Average Loss  0.881051, Time  0.234901
2021-09-22 01:18:23.340128 : Epoch  1, Batch   1009, Loss  0.874022, Average Loss  0.880940, Time  0.235842
2021-09-22 01:18:25.942891 : Epoch  1, Batch   1010, Loss  0.888634, Average Loss  0.880985, Time  0.234755
2021-09-22 01:18:28.559273 : Epoch  1, Batch   1011, Loss  0.883969, Average Loss  0.880975, Time  0.235506
2021-09-22 01:18:31.166815 : Epoch  1, Batch   1012, Loss  0.865404, Average Loss  0.880928, Time  0.234717
2021-09-22 01:18:33.782741 : Epoch  1, Batch   1013, Loss  0.892385, Average Loss  0.880989, Time  0.235422
2021-09-22 01:18:36.389002 : Epoch  1, Batch   1014, Loss  0.908468, Average Loss  0.880972, Time  0.234745
2021-09-22 01:18:39.015914 : Epoch  1, Batch   1015, Loss  0.880741, Average Loss  0.880935, Time  0.235759
2021-09-22 01:18:41.654383 : Epoch  1, Batch   1016, Loss  0.881533, Average Loss  0.880857, Time  0.234793
2021-09-22 01:18:44.283867 : Epoch  1, Batch   1017, Loss  0.880361, Average Loss  0.880981, Time  0.235884
2021-09-22 01:18:46.897875 : Epoch  1, Batch   1018, Loss  0.895007, Average Loss  0.881008, Time  0.234484
2021-09-22 01:18:49.508013 : Epoch  1, Batch   1019, Loss  0.870528, Average Loss  0.880848, Time  0.235165
2021-09-22 01:18:52.144981 : Epoch  1, Batch   1020, Loss  0.876301, Average Loss  0.880772, Time  0.234838
2021-09-22 01:18:54.760902 : Epoch  1, Batch   1021, Loss  0.887263, Average Loss  0.880869, Time  0.234593
2021-09-22 01:18:57.367044 : Epoch  1, Batch   1022, Loss  0.875594, Average Loss  0.880805, Time  0.234355
2021-09-22 01:19:00.032753 : Epoch  1, Batch   1023, Loss  0.876368, Average Loss  0.880771, Time  0.234774
2021-09-22 01:19:02.665943 : Epoch  1, Batch   1024, Loss  0.864768, Average Loss  0.880573, Time  0.235046
2021-09-22 01:19:05.296925 : Epoch  1, Batch   1025, Loss  0.877876, Average Loss  0.880557, Time  0.235832
2021-09-22 01:19:07.925347 : Epoch  1, Batch   1026, Loss  0.907796, Average Loss  0.880626, Time  0.234622
2021-09-22 01:19:10.530969 : Epoch  1, Batch   1027, Loss  0.888682, Average Loss  0.880583, Time  0.234924
2021-09-22 01:19:13.162792 : Epoch  1, Batch   1028, Loss  0.880784, Average Loss  0.880577, Time  0.234689
2021-09-22 01:19:15.779793 : Epoch  1, Batch   1029, Loss  0.878892, Average Loss  0.880526, Time  0.234829
2021-09-22 01:19:18.388468 : Epoch  1, Batch   1030, Loss  0.876174, Average Loss  0.880448, Time  0.234512
2021-09-22 01:19:21.013914 : Epoch  1, Batch   1031, Loss  0.896141, Average Loss  0.880529, Time  0.235646
2021-09-22 01:19:23.630167 : Epoch  1, Batch   1032, Loss  0.895349, Average Loss  0.880596, Time  0.235183
2021-09-22 01:19:26.263881 : Epoch  1, Batch   1033, Loss  0.861717, Average Loss  0.880518, Time  0.236038
2021-09-22 01:19:28.867090 : Epoch  1, Batch   1034, Loss  0.876439, Average Loss  0.880477, Time  0.234503
2021-09-22 01:19:31.481640 : Epoch  1, Batch   1035, Loss  0.871418, Average Loss  0.880515, Time  0.235594
2021-09-22 01:19:34.111035 : Epoch  1, Batch   1036, Loss  0.876992, Average Loss  0.880599, Time  0.235119
2021-09-22 01:19:36.879451 : Epoch  1, Batch   1037, Loss  0.870413, Average Loss  0.880438, Time  0.234908
2021-09-22 01:19:39.495066 : Epoch  1, Batch   1038, Loss  0.872753, Average Loss  0.880459, Time  0.234934
2021-09-22 01:19:42.101922 : Epoch  1, Batch   1039, Loss  0.858107, Average Loss  0.880338, Time  0.235142
2021-09-22 01:19:44.714352 : Epoch  1, Batch   1040, Loss  0.891391, Average Loss  0.880414, Time  0.234600
2021-09-22 01:19:47.320348 : Epoch  1, Batch   1041, Loss  0.887695, Average Loss  0.880371, Time  0.234666
2021-09-22 01:19:49.928760 : Epoch  1, Batch   1042, Loss  0.880642, Average Loss  0.880362, Time  0.234396
2021-09-22 01:19:52.555822 : Epoch  1, Batch   1043, Loss  0.867830, Average Loss  0.880340, Time  0.234813
2021-09-22 01:19:55.163086 : Epoch  1, Batch   1044, Loss  0.874777, Average Loss  0.880361, Time  0.235132
2021-09-22 01:19:57.770478 : Epoch  1, Batch   1045, Loss  0.881810, Average Loss  0.880413, Time  0.235472
2021-09-22 01:20:00.406307 : Epoch  1, Batch   1046, Loss  0.876585, Average Loss  0.880257, Time  0.235150
2021-09-22 01:20:03.063039 : Epoch  1, Batch   1047, Loss  0.864516, Average Loss  0.880128, Time  0.254772
2021-09-22 01:20:05.671475 : Epoch  1, Batch   1048, Loss  0.856986, Average Loss  0.879946, Time  0.234300
2021-09-22 01:20:08.279923 : Epoch  1, Batch   1049, Loss  0.894430, Average Loss  0.880059, Time  0.235662
2021-09-22 01:20:10.899922 : Epoch  1, Batch   1050, Loss  0.892071, Average Loss  0.880115, Time  0.234553
2021-09-22 01:20:13.512339 : Epoch  1, Batch   1051, Loss  0.876656, Average Loss  0.880048, Time  0.234371
2021-09-22 01:20:16.135457 : Epoch  1, Batch   1052, Loss  0.883805, Average Loss  0.879934, Time  0.234849
2021-09-22 01:20:18.772369 : Epoch  1, Batch   1053, Loss  0.897936, Average Loss  0.880047, Time  0.234972
2021-09-22 01:20:21.409482 : Epoch  1, Batch   1054, Loss  0.870300, Average Loss  0.879955, Time  0.234686
2021-09-22 01:20:24.017223 : Epoch  1, Batch   1055, Loss  0.838989, Average Loss  0.879824, Time  0.235366
2021-09-22 01:20:26.632870 : Epoch  1, Batch   1056, Loss  0.880983, Average Loss  0.879873, Time  0.236023
2021-09-22 01:20:29.255330 : Epoch  1, Batch   1057, Loss  0.887737, Average Loss  0.879857, Time  0.236518
2021-09-22 01:20:31.868434 : Epoch  1, Batch   1058, Loss  0.891871, Average Loss  0.880053, Time  0.235282
2021-09-22 01:20:34.476007 : Epoch  1, Batch   1059, Loss  0.853182, Average Loss  0.879930, Time  0.235693
2021-09-22 01:20:37.108132 : Epoch  1, Batch   1060, Loss  0.893449, Average Loss  0.880083, Time  0.236105
2021-09-22 01:20:39.724103 : Epoch  1, Batch   1061, Loss  0.884684, Average Loss  0.880049, Time  0.235114
2021-09-22 01:20:42.338350 : Epoch  1, Batch   1062, Loss  0.877922, Average Loss  0.879928, Time  0.235144
2021-09-22 01:20:44.955907 : Epoch  1, Batch   1063, Loss  0.873682, Average Loss  0.879847, Time  0.235490
2021-09-22 01:20:47.569960 : Epoch  1, Batch   1064, Loss  0.882539, Average Loss  0.879902, Time  0.234550
2021-09-22 01:20:50.177735 : Epoch  1, Batch   1065, Loss  0.867441, Average Loss  0.879869, Time  0.235032
2021-09-22 01:20:52.793352 : Epoch  1, Batch   1066, Loss  0.866474, Average Loss  0.879819, Time  0.235060
2021-09-22 01:20:55.430391 : Epoch  1, Batch   1067, Loss  0.873228, Average Loss  0.879718, Time  0.236187
2021-09-22 01:20:58.052765 : Epoch  1, Batch   1068, Loss  0.876390, Average Loss  0.879710, Time  0.234967
2021-09-22 01:21:00.668024 : Epoch  1, Batch   1069, Loss  0.887291, Average Loss  0.879729, Time  0.235185
2021-09-22 01:21:03.305310 : Epoch  1, Batch   1070, Loss  0.890836, Average Loss  0.879875, Time  0.234459
2021-09-22 01:21:05.916878 : Epoch  1, Batch   1071, Loss  0.887671, Average Loss  0.880014, Time  0.235097
2021-09-22 01:21:08.546869 : Epoch  1, Batch   1072, Loss  0.869945, Average Loss  0.879967, Time  0.235066
2021-09-22 01:21:11.187949 : Epoch  1, Batch   1073, Loss  0.888294, Average Loss  0.879872, Time  0.235554
2021-09-22 01:21:13.789103 : Epoch  1, Batch   1074, Loss  0.882780, Average Loss  0.879956, Time  0.235494
2021-09-22 01:21:16.434957 : Epoch  1, Batch   1075, Loss  0.887818, Average Loss  0.879884, Time  0.235295
2021-09-22 01:21:19.045822 : Epoch  1, Batch   1076, Loss  0.888045, Average Loss  0.879928, Time  0.235096
2021-09-22 01:21:21.645145 : Epoch  1, Batch   1077, Loss  0.881743, Average Loss  0.879871, Time  0.233404
2021-09-22 01:21:24.270082 : Epoch  1, Batch   1078, Loss  0.868176, Average Loss  0.879765, Time  0.233742
2021-09-22 01:21:26.915840 : Epoch  1, Batch   1079, Loss  0.890147, Average Loss  0.879802, Time  0.236118
2021-09-22 01:21:29.574080 : Epoch  1, Batch   1080, Loss  0.903291, Average Loss  0.879923, Time  0.234155
2021-09-22 01:21:32.199378 : Epoch  1, Batch   1081, Loss  0.870207, Average Loss  0.879891, Time  0.235157
2021-09-22 01:21:34.813949 : Epoch  1, Batch   1082, Loss  0.877417, Average Loss  0.879883, Time  0.234974
2021-09-22 01:21:37.423862 : Epoch  1, Batch   1083, Loss  0.883063, Average Loss  0.879872, Time  0.235829
2021-09-22 01:21:40.033223 : Epoch  1, Batch   1084, Loss  0.879885, Average Loss  0.879850, Time  0.234451
2021-09-22 01:21:42.655428 : Epoch  1, Batch   1085, Loss  0.863096, Average Loss  0.879701, Time  0.235610
2021-09-22 01:21:45.291912 : Epoch  1, Batch   1086, Loss  0.883975, Average Loss  0.879814, Time  0.234656
2021-09-22 01:21:47.953518 : Epoch  1, Batch   1087, Loss  0.873750, Average Loss  0.879693, Time  0.234842
2021-09-22 01:21:50.558472 : Epoch  1, Batch   1088, Loss  0.876785, Average Loss  0.879612, Time  0.234553
2021-09-22 01:21:53.189416 : Epoch  1, Batch   1089, Loss  0.896152, Average Loss  0.879714, Time  0.234697
2021-09-22 01:21:55.794171 : Epoch  1, Batch   1090, Loss  0.888114, Average Loss  0.879595, Time  0.234988
2021-09-22 01:21:58.408312 : Epoch  1, Batch   1091, Loss  0.883927, Average Loss  0.879580, Time  0.235031
2021-09-22 01:22:01.012335 : Epoch  1, Batch   1092, Loss  0.897632, Average Loss  0.879657, Time  0.234659
2021-09-22 01:22:03.621472 : Epoch  1, Batch   1093, Loss  0.883347, Average Loss  0.879651, Time  0.234694
2021-09-22 01:22:06.285410 : Epoch  1, Batch   1094, Loss  0.856371, Average Loss  0.879569, Time  0.235094
2021-09-22 01:22:08.900403 : Epoch  1, Batch   1095, Loss  0.871898, Average Loss  0.879519, Time  0.234921
2021-09-22 01:22:11.544331 : Epoch  1, Batch   1096, Loss  0.871285, Average Loss  0.879414, Time  0.234658
2021-09-22 01:22:14.155039 : Epoch  1, Batch   1097, Loss  0.888444, Average Loss  0.879497, Time  0.235344
2021-09-22 01:22:16.761965 : Epoch  1, Batch   1098, Loss  0.887366, Average Loss  0.879549, Time  0.235445
2021-09-22 01:22:19.395253 : Epoch  1, Batch   1099, Loss  0.900543, Average Loss  0.879716, Time  0.235066
2021-09-22 01:22:22.033838 : Epoch  1, Batch   1100, Loss  0.889396, Average Loss  0.879851, Time  0.235375
2021-09-22 01:26:28.456678 : CheckPoint: Validation Loss  0.00030234, Best Loss  0.00029833
2021-09-22 01:26:31.150104 : Epoch  1, Batch   1101, Loss  0.875069, Average Loss  0.879818, Time  0.269778
2021-09-22 01:26:33.813337 : Epoch  1, Batch   1102, Loss  0.891543, Average Loss  0.879993, Time  0.247338
2021-09-22 01:26:36.478795 : Epoch  1, Batch   1103, Loss  0.876327, Average Loss  0.880130, Time  0.236980
2021-09-22 01:26:39.146687 : Epoch  1, Batch   1104, Loss  0.866477, Average Loss  0.879919, Time  0.235378
2021-09-22 01:26:41.808870 : Epoch  1, Batch   1105, Loss  0.880139, Average Loss  0.879939, Time  0.235843
2021-09-22 01:26:44.461126 : Epoch  1, Batch   1106, Loss  0.878939, Average Loss  0.879902, Time  0.235879
2021-09-22 01:26:47.161092 : Epoch  1, Batch   1107, Loss  0.857007, Average Loss  0.879841, Time  0.235663
2021-09-22 01:26:49.820542 : Epoch  1, Batch   1108, Loss  0.866396, Average Loss  0.879701, Time  0.235950
2021-09-22 01:26:52.487352 : Epoch  1, Batch   1109, Loss  0.890948, Average Loss  0.879729, Time  0.235277
2021-09-22 01:26:55.135586 : Epoch  1, Batch   1110, Loss  0.871228, Average Loss  0.879635, Time  0.235672
2021-09-22 01:26:57.788046 : Epoch  1, Batch   1111, Loss  0.868526, Average Loss  0.879586, Time  0.235674
2021-09-22 01:27:00.437972 : Epoch  1, Batch   1112, Loss  0.887397, Average Loss  0.879588, Time  0.235711
2021-09-22 01:27:03.093805 : Epoch  1, Batch   1113, Loss  0.891282, Average Loss  0.879707, Time  0.235616
2021-09-22 01:27:05.752369 : Epoch  1, Batch   1114, Loss  0.859913, Average Loss  0.879597, Time  0.234864
2021-09-22 01:27:08.417029 : Epoch  1, Batch   1115, Loss  0.897375, Average Loss  0.879570, Time  0.236732
2021-09-22 01:27:11.084400 : Epoch  1, Batch   1116, Loss  0.885352, Average Loss  0.879576, Time  0.235368
2021-09-22 01:27:13.729956 : Epoch  1, Batch   1117, Loss  0.873801, Average Loss  0.879551, Time  0.236574
2021-09-22 01:27:16.410038 : Epoch  1, Batch   1118, Loss  0.894867, Average Loss  0.879662, Time  0.237375
2021-09-22 01:27:19.072491 : Epoch  1, Batch   1119, Loss  0.871674, Average Loss  0.879516, Time  0.236049
2021-09-22 01:27:21.758364 : Epoch  1, Batch   1120, Loss  0.893857, Average Loss  0.879598, Time  0.236348
2021-09-22 01:27:24.412434 : Epoch  1, Batch   1121, Loss  0.882513, Average Loss  0.879646, Time  0.236921
2021-09-22 01:27:27.061908 : Epoch  1, Batch   1122, Loss  0.868931, Average Loss  0.879567, Time  0.235629
2021-09-22 01:27:29.715912 : Epoch  1, Batch   1123, Loss  0.887643, Average Loss  0.879726, Time  0.236012
2021-09-22 01:27:32.370386 : Epoch  1, Batch   1124, Loss  0.885788, Average Loss  0.879817, Time  0.235356
2021-09-22 01:27:35.031545 : Epoch  1, Batch   1125, Loss  0.873997, Average Loss  0.879803, Time  0.237291
2021-09-22 01:27:37.688398 : Epoch  1, Batch   1126, Loss  0.884407, Average Loss  0.879803, Time  0.235357
2021-09-22 01:27:40.345156 : Epoch  1, Batch   1127, Loss  0.871904, Average Loss  0.879731, Time  0.236089
2021-09-22 01:27:42.999373 : Epoch  1, Batch   1128, Loss  0.889090, Average Loss  0.879742, Time  0.235459
2021-09-22 01:27:45.661064 : Epoch  1, Batch   1129, Loss  0.866161, Average Loss  0.879685, Time  0.235568
2021-09-22 01:27:48.313377 : Epoch  1, Batch   1130, Loss  0.887239, Average Loss  0.879793, Time  0.234926
2021-09-22 01:27:50.976111 : Epoch  1, Batch   1131, Loss  0.886636, Average Loss  0.879773, Time  0.235671
2021-09-22 01:27:53.641348 : Epoch  1, Batch   1132, Loss  0.897746, Average Loss  0.879761, Time  0.235225
2021-09-22 01:27:56.303376 : Epoch  1, Batch   1133, Loss  0.885892, Average Loss  0.879820, Time  0.235401
2021-09-22 01:27:59.028793 : Epoch  1, Batch   1134, Loss  0.871922, Average Loss  0.879768, Time  0.235280
2021-09-22 01:28:01.679250 : Epoch  1, Batch   1135, Loss  0.903146, Average Loss  0.879862, Time  0.236045
2021-09-22 01:28:04.331406 : Epoch  1, Batch   1136, Loss  0.881492, Average Loss  0.879956, Time  0.235131
2021-09-22 01:28:06.981907 : Epoch  1, Batch   1137, Loss  0.884570, Average Loss  0.880001, Time  0.235827
2021-09-22 01:28:09.642782 : Epoch  1, Batch   1138, Loss  0.900027, Average Loss  0.880238, Time  0.237034
2021-09-22 01:28:12.295879 : Epoch  1, Batch   1139, Loss  0.880341, Average Loss  0.880230, Time  0.236650
2021-09-22 01:28:14.947386 : Epoch  1, Batch   1140, Loss  0.867895, Average Loss  0.880227, Time  0.235919
2021-09-22 01:28:17.605613 : Epoch  1, Batch   1141, Loss  0.846812, Average Loss  0.880044, Time  0.236171
2021-09-22 01:28:20.261379 : Epoch  1, Batch   1142, Loss  0.882798, Average Loss  0.879995, Time  0.235670
2021-09-22 01:28:22.927580 : Epoch  1, Batch   1143, Loss  0.865811, Average Loss  0.879921, Time  0.235703
2021-09-22 01:28:25.597088 : Epoch  1, Batch   1144, Loss  0.874952, Average Loss  0.879886, Time  0.236034
2021-09-22 01:28:28.257385 : Epoch  1, Batch   1145, Loss  0.869626, Average Loss  0.879891, Time  0.236033
2021-09-22 01:28:30.911403 : Epoch  1, Batch   1146, Loss  0.874634, Average Loss  0.879823, Time  0.235777
2021-09-22 01:28:33.581836 : Epoch  1, Batch   1147, Loss  0.866860, Average Loss  0.879788, Time  0.236031
2021-09-22 01:28:36.235369 : Epoch  1, Batch   1148, Loss  0.883527, Average Loss  0.879768, Time  0.235515
2021-09-22 01:28:38.888068 : Epoch  1, Batch   1149, Loss  0.871398, Average Loss  0.879674, Time  0.235490
2021-09-22 01:28:41.543402 : Epoch  1, Batch   1150, Loss  0.875514, Average Loss  0.879621, Time  0.235206
2021-09-22 01:28:44.241006 : Epoch  1, Batch   1151, Loss  0.868045, Average Loss  0.879561, Time  0.237647
2021-09-22 01:28:46.912035 : Epoch  1, Batch   1152, Loss  0.876264, Average Loss  0.879680, Time  0.236150
2021-09-22 01:28:49.561990 : Epoch  1, Batch   1153, Loss  0.859306, Average Loss  0.879694, Time  0.236324
2021-09-22 01:28:52.211589 : Epoch  1, Batch   1154, Loss  0.874462, Average Loss  0.879657, Time  0.235244
2021-09-22 01:28:54.870549 : Epoch  1, Batch   1155, Loss  0.881386, Average Loss  0.879572, Time  0.235563
2021-09-22 01:28:57.515012 : Epoch  1, Batch   1156, Loss  0.883165, Average Loss  0.879581, Time  0.235710
2021-09-22 01:29:00.204354 : Epoch  1, Batch   1157, Loss  0.848381, Average Loss  0.879509, Time  0.235186
2021-09-22 01:29:02.862327 : Epoch  1, Batch   1158, Loss  0.862747, Average Loss  0.879485, Time  0.235661
2021-09-22 01:29:05.516393 : Epoch  1, Batch   1159, Loss  0.880233, Average Loss  0.879420, Time  0.235931
2021-09-22 01:29:08.165831 : Epoch  1, Batch   1160, Loss  0.904422, Average Loss  0.879518, Time  0.236574
2021-09-22 01:29:10.824944 : Epoch  1, Batch   1161, Loss  0.885135, Average Loss  0.879597, Time  0.236006
2021-09-22 01:29:13.484142 : Epoch  1, Batch   1162, Loss  0.906475, Average Loss  0.879646, Time  0.235929
2021-09-22 01:29:16.140853 : Epoch  1, Batch   1163, Loss  0.866526, Average Loss  0.879558, Time  0.236784
2021-09-22 01:29:18.796452 : Epoch  1, Batch   1164, Loss  0.869787, Average Loss  0.879583, Time  0.236380
2021-09-22 01:29:21.446041 : Epoch  1, Batch   1165, Loss  0.884067, Average Loss  0.879528, Time  0.236546
2021-09-22 01:29:24.100366 : Epoch  1, Batch   1166, Loss  0.873233, Average Loss  0.879604, Time  0.235179
2021-09-22 01:29:26.755985 : Epoch  1, Batch   1167, Loss  0.883027, Average Loss  0.879633, Time  0.236405
2021-09-22 01:29:29.457382 : Epoch  1, Batch   1168, Loss  0.870659, Average Loss  0.879565, Time  0.235243
2021-09-22 01:29:32.102176 : Epoch  1, Batch   1169, Loss  0.870741, Average Loss  0.879657, Time  0.236242
2021-09-22 01:29:34.750965 : Epoch  1, Batch   1170, Loss  0.869426, Average Loss  0.879585, Time  0.235201
2021-09-22 01:29:37.405463 : Epoch  1, Batch   1171, Loss  0.896842, Average Loss  0.879751, Time  0.235849
2021-09-22 01:29:40.062577 : Epoch  1, Batch   1172, Loss  0.886581, Average Loss  0.879796, Time  0.235749
2021-09-22 01:29:42.712779 : Epoch  1, Batch   1173, Loss  0.868667, Average Loss  0.879707, Time  0.235861
2021-09-22 01:29:45.377420 : Epoch  1, Batch   1174, Loss  0.862602, Average Loss  0.879548, Time  0.235605
2021-09-22 01:29:48.027917 : Epoch  1, Batch   1175, Loss  0.880102, Average Loss  0.879532, Time  0.235285
2021-09-22 01:29:50.687652 : Epoch  1, Batch   1176, Loss  0.886101, Average Loss  0.879493, Time  0.234978
2021-09-22 01:29:53.352091 : Epoch  1, Batch   1177, Loss  0.873337, Average Loss  0.879409, Time  0.235540
2021-09-22 01:29:56.148959 : Epoch  1, Batch   1178, Loss  0.898730, Average Loss  0.879524, Time  0.236352
2021-09-22 01:29:58.802375 : Epoch  1, Batch   1179, Loss  0.868788, Average Loss  0.879583, Time  0.236000
2021-09-22 01:30:01.457284 : Epoch  1, Batch   1180, Loss  0.878816, Average Loss  0.879573, Time  0.235796
2021-09-22 01:30:04.127890 : Epoch  1, Batch   1181, Loss  0.877246, Average Loss  0.879587, Time  0.236438
2021-09-22 01:30:06.779342 : Epoch  1, Batch   1182, Loss  0.882202, Average Loss  0.879579, Time  0.235267
2021-09-22 01:30:09.435415 : Epoch  1, Batch   1183, Loss  0.884440, Average Loss  0.879570, Time  0.235510
2021-09-22 01:30:12.082102 : Epoch  1, Batch   1184, Loss  0.879812, Average Loss  0.879592, Time  0.235600
2021-09-22 01:30:14.744941 : Epoch  1, Batch   1185, Loss  0.910362, Average Loss  0.879750, Time  0.237044
2021-09-22 01:30:17.413105 : Epoch  1, Batch   1186, Loss  0.874474, Average Loss  0.879823, Time  0.236090
2021-09-22 01:30:20.086905 : Epoch  1, Batch   1187, Loss  0.892144, Average Loss  0.879961, Time  0.236829
2021-09-22 01:30:22.734588 : Epoch  1, Batch   1188, Loss  0.876058, Average Loss  0.879914, Time  0.235618
2021-09-22 01:30:25.392877 : Epoch  1, Batch   1189, Loss  0.883545, Average Loss  0.879994, Time  0.235886
2021-09-22 01:30:28.036912 : Epoch  1, Batch   1190, Loss  0.881567, Average Loss  0.879990, Time  0.235862
2021-09-22 01:30:30.691788 : Epoch  1, Batch   1191, Loss  0.906964, Average Loss  0.880022, Time  0.236086
2021-09-22 01:30:33.343197 : Epoch  1, Batch   1192, Loss  0.865535, Average Loss  0.879831, Time  0.235594
2021-09-22 01:30:36.013408 : Epoch  1, Batch   1193, Loss  0.898139, Average Loss  0.879914, Time  0.235365
2021-09-22 01:30:38.655098 : Epoch  1, Batch   1194, Loss  0.895569, Average Loss  0.879966, Time  0.235329
2021-09-22 01:30:41.303441 : Epoch  1, Batch   1195, Loss  0.878615, Average Loss  0.880035, Time  0.236694
2021-09-22 01:30:43.964551 : Epoch  1, Batch   1196, Loss  0.874629, Average Loss  0.879850, Time  0.235269
2021-09-22 01:30:46.622357 : Epoch  1, Batch   1197, Loss  0.877890, Average Loss  0.879846, Time  0.235865
2021-09-22 01:30:49.267402 : Epoch  1, Batch   1198, Loss  0.853711, Average Loss  0.879612, Time  0.235080
2021-09-22 01:30:51.925915 : Epoch  1, Batch   1199, Loss  0.903106, Average Loss  0.879799, Time  0.235746
2021-09-22 01:30:54.590805 : Epoch  1, Batch   1200, Loss  0.884909, Average Loss  0.879886, Time  0.236342
2021-09-22 01:35:05.427928 : CheckPoint: Validation Loss  0.00030584, Best Loss  0.00029833
2021-09-22 01:35:08.114978 : Epoch  1, Batch   1201, Loss  0.881660, Average Loss  0.879855, Time  0.238491
2021-09-22 01:35:10.825121 : Epoch  1, Batch   1202, Loss  0.887220, Average Loss  0.879848, Time  0.235827
2021-09-22 01:35:13.515303 : Epoch  1, Batch   1203, Loss  0.874427, Average Loss  0.879864, Time  0.237387
2021-09-22 01:35:16.213247 : Epoch  1, Batch   1204, Loss  0.863684, Average Loss  0.879792, Time  0.236291
2021-09-22 01:35:18.933846 : Epoch  1, Batch   1205, Loss  0.856041, Average Loss  0.879658, Time  0.237131
2021-09-22 01:35:21.646540 : Epoch  1, Batch   1206, Loss  0.852762, Average Loss  0.879482, Time  0.236711
2021-09-22 01:35:24.347848 : Epoch  1, Batch   1207, Loss  0.890064, Average Loss  0.879598, Time  0.236889
2021-09-22 01:35:27.043813 : Epoch  1, Batch   1208, Loss  0.887240, Average Loss  0.879625, Time  0.236462
2021-09-22 01:35:29.741405 : Epoch  1, Batch   1209, Loss  0.860821, Average Loss  0.879559, Time  0.236423
2021-09-22 01:35:32.437498 : Epoch  1, Batch   1210, Loss  0.903765, Average Loss  0.879635, Time  0.236096
2021-09-22 01:35:35.131882 : Epoch  1, Batch   1211, Loss  0.880354, Average Loss  0.879617, Time  0.237083
2021-09-22 01:35:37.832949 : Epoch  1, Batch   1212, Loss  0.865099, Average Loss  0.879615, Time  0.236517
2021-09-22 01:35:40.535379 : Epoch  1, Batch   1213, Loss  0.895993, Average Loss  0.879633, Time  0.236478
2021-09-22 01:35:43.222130 : Epoch  1, Batch   1214, Loss  0.854476, Average Loss  0.879363, Time  0.236879
2021-09-22 01:35:45.926970 : Epoch  1, Batch   1215, Loss  0.897865, Average Loss  0.879449, Time  0.236479
2021-09-22 01:35:48.616826 : Epoch  1, Batch   1216, Loss  0.861536, Average Loss  0.879349, Time  0.236036
2021-09-22 01:35:51.296549 : Epoch  1, Batch   1217, Loss  0.880869, Average Loss  0.879351, Time  0.236380
2021-09-22 01:35:54.013940 : Epoch  1, Batch   1218, Loss  0.874892, Average Loss  0.879251, Time  0.237718
2021-09-22 01:35:56.720799 : Epoch  1, Batch   1219, Loss  0.887850, Average Loss  0.879337, Time  0.236636
2021-09-22 01:35:59.420775 : Epoch  1, Batch   1220, Loss  0.862672, Average Loss  0.879269, Time  0.236744
2021-09-22 01:36:02.138060 : Epoch  1, Batch   1221, Loss  0.883329, Average Loss  0.879250, Time  0.237483
2021-09-22 01:36:04.838863 : Epoch  1, Batch   1222, Loss  0.886920, Average Loss  0.879306, Time  0.236596
2021-09-22 01:36:07.540893 : Epoch  1, Batch   1223, Loss  0.878905, Average Loss  0.879319, Time  0.237207
2021-09-22 01:36:10.253906 : Epoch  1, Batch   1224, Loss  0.870167, Average Loss  0.879346, Time  0.236709
2021-09-22 01:36:13.009156 : Epoch  1, Batch   1225, Loss  0.887193, Average Loss  0.879393, Time  0.237503
2021-09-22 01:36:15.700800 : Epoch  1, Batch   1226, Loss  0.871721, Average Loss  0.879212, Time  0.236932
2021-09-22 01:36:18.381126 : Epoch  1, Batch   1227, Loss  0.885633, Average Loss  0.879197, Time  0.236922
2021-09-22 01:36:21.081884 : Epoch  1, Batch   1228, Loss  0.878171, Average Loss  0.879184, Time  0.236534
2021-09-22 01:36:23.771402 : Epoch  1, Batch   1229, Loss  0.859482, Average Loss  0.879087, Time  0.236887
2021-09-22 01:36:26.468797 : Epoch  1, Batch   1230, Loss  0.860934, Average Loss  0.879011, Time  0.236671
2021-09-22 01:36:29.157019 : Epoch  1, Batch   1231, Loss  0.882550, Average Loss  0.878943, Time  0.236895
2021-09-22 01:36:31.846584 : Epoch  1, Batch   1232, Loss  0.877696, Average Loss  0.878854, Time  0.236835
2021-09-22 01:36:34.534397 : Epoch  1, Batch   1233, Loss  0.890857, Average Loss  0.879000, Time  0.236201
2021-09-22 01:36:37.220494 : Epoch  1, Batch   1234, Loss  0.899639, Average Loss  0.879116, Time  0.236680
2021-09-22 01:36:39.934356 : Epoch  1, Batch   1235, Loss  0.886559, Average Loss  0.879192, Time  0.237375
2021-09-22 01:36:42.621876 : Epoch  1, Batch   1236, Loss  0.892510, Average Loss  0.879269, Time  0.237523
2021-09-22 01:36:45.363881 : Epoch  1, Batch   1237, Loss  0.883047, Average Loss  0.879333, Time  0.236211
2021-09-22 01:36:48.061851 : Epoch  1, Batch   1238, Loss  0.863537, Average Loss  0.879286, Time  0.239588
2021-09-22 01:36:50.770885 : Epoch  1, Batch   1239, Loss  0.867143, Average Loss  0.879332, Time  0.236620
2021-09-22 01:36:53.465649 : Epoch  1, Batch   1240, Loss  0.863488, Average Loss  0.879192, Time  0.236074
2021-09-22 01:36:56.157265 : Epoch  1, Batch   1241, Loss  0.867082, Average Loss  0.879089, Time  0.237974
2021-09-22 01:36:58.847886 : Epoch  1, Batch   1242, Loss  0.867066, Average Loss  0.879021, Time  0.236455
2021-09-22 01:37:01.541625 : Epoch  1, Batch   1243, Loss  0.889310, Average Loss  0.879129, Time  0.238016
2021-09-22 01:37:04.244919 : Epoch  1, Batch   1244, Loss  0.892336, Average Loss  0.879216, Time  0.237626
2021-09-22 01:37:06.959528 : Epoch  1, Batch   1245, Loss  0.873593, Average Loss  0.879175, Time  0.236625
2021-09-22 01:37:09.656875 : Epoch  1, Batch   1246, Loss  0.864751, Average Loss  0.879116, Time  0.238217
2021-09-22 01:37:12.359565 : Epoch  1, Batch   1247, Loss  0.863521, Average Loss  0.879111, Time  0.237000
2021-09-22 01:37:15.044969 : Epoch  1, Batch   1248, Loss  0.875496, Average Loss  0.879204, Time  0.236439
2021-09-22 01:37:17.731051 : Epoch  1, Batch   1249, Loss  0.883879, Average Loss  0.879151, Time  0.236531
2021-09-22 01:37:20.607952 : Epoch  1, Batch   1250, Loss  0.868134, Average Loss  0.879031, Time  0.268658
2021-09-22 01:37:23.316849 : Epoch  1, Batch   1251, Loss  0.857648, Average Loss  0.878936, Time  0.249929
2021-09-22 01:37:26.027538 : Epoch  1, Batch   1252, Loss  0.900422, Average Loss  0.879019, Time  0.236056
2021-09-22 01:37:28.724020 : Epoch  1, Batch   1253, Loss  0.878896, Average Loss  0.878924, Time  0.236176
2021-09-22 01:37:31.439187 : Epoch  1, Batch   1254, Loss  0.864535, Average Loss  0.878895, Time  0.236699
2021-09-22 01:37:34.124227 : Epoch  1, Batch   1255, Loss  0.891466, Average Loss  0.879158, Time  0.236379
2021-09-22 01:37:36.807943 : Epoch  1, Batch   1256, Loss  0.885481, Average Loss  0.879180, Time  0.236724
2021-09-22 01:37:39.505898 : Epoch  1, Batch   1257, Loss  0.866432, Average Loss  0.879074, Time  0.237278
2021-09-22 01:37:42.196989 : Epoch  1, Batch   1258, Loss  0.881086, Average Loss  0.879020, Time  0.236410
2021-09-22 01:37:44.883408 : Epoch  1, Batch   1259, Loss  0.884507, Average Loss  0.879176, Time  0.236311
2021-09-22 01:37:47.585949 : Epoch  1, Batch   1260, Loss  0.880807, Average Loss  0.879113, Time  0.236638
2021-09-22 01:37:50.387826 : Epoch  1, Batch   1261, Loss  0.897987, Average Loss  0.879180, Time  0.237097
2021-09-22 01:37:53.084830 : Epoch  1, Batch   1262, Loss  0.873886, Average Loss  0.879159, Time  0.236935
2021-09-22 01:37:55.785955 : Epoch  1, Batch   1263, Loss  0.875923, Average Loss  0.879171, Time  0.237997
2021-09-22 01:37:58.479403 : Epoch  1, Batch   1264, Loss  0.913446, Average Loss  0.879325, Time  0.235959
2021-09-22 01:38:01.183084 : Epoch  1, Batch   1265, Loss  0.883615, Average Loss  0.879406, Time  0.237537
2021-09-22 01:38:03.887966 : Epoch  1, Batch   1266, Loss  0.886225, Average Loss  0.879505, Time  0.237310
2021-09-22 01:38:06.609990 : Epoch  1, Batch   1267, Loss  0.865079, Average Loss  0.879464, Time  0.236928
2021-09-22 01:38:09.302035 : Epoch  1, Batch   1268, Loss  0.906702, Average Loss  0.879616, Time  0.236349
2021-09-22 01:38:12.017852 : Epoch  1, Batch   1269, Loss  0.870750, Average Loss  0.879533, Time  0.237729
2021-09-22 01:38:14.725952 : Epoch  1, Batch   1270, Loss  0.895200, Average Loss  0.879555, Time  0.236380
2021-09-22 01:38:17.422287 : Epoch  1, Batch   1271, Loss  0.882487, Average Loss  0.879529, Time  0.236582
2021-09-22 01:38:20.123387 : Epoch  1, Batch   1272, Loss  0.869274, Average Loss  0.879525, Time  0.236391
2021-09-22 01:38:22.814064 : Epoch  1, Batch   1273, Loss  0.880725, Average Loss  0.879488, Time  0.236933
2021-09-22 01:38:25.512060 : Epoch  1, Batch   1274, Loss  0.857962, Average Loss  0.879364, Time  0.237010
2021-09-22 01:38:28.236386 : Epoch  1, Batch   1275, Loss  0.881925, Average Loss  0.879334, Time  0.236991
2021-09-22 01:38:30.936419 : Epoch  1, Batch   1276, Loss  0.858071, Average Loss  0.879184, Time  0.236258
2021-09-22 01:38:33.631230 : Epoch  1, Batch   1277, Loss  0.877495, Average Loss  0.879163, Time  0.236872
2021-09-22 01:38:36.329605 : Epoch  1, Batch   1278, Loss  0.892372, Average Loss  0.879284, Time  0.237003
2021-09-22 01:38:39.017995 : Epoch  1, Batch   1279, Loss  0.898341, Average Loss  0.879325, Time  0.236898
2021-09-22 01:38:41.708571 : Epoch  1, Batch   1280, Loss  0.886032, Average Loss  0.879239, Time  0.235806
2021-09-22 01:38:44.414384 : Epoch  1, Batch   1281, Loss  0.887593, Average Loss  0.879326, Time  0.237292
2021-09-22 01:38:47.107328 : Epoch  1, Batch   1282, Loss  0.872630, Average Loss  0.879302, Time  0.236049
2021-09-22 01:38:49.802006 : Epoch  1, Batch   1283, Loss  0.857906, Average Loss  0.879176, Time  0.236657
2021-09-22 01:38:52.485053 : Epoch  1, Batch   1284, Loss  0.883379, Average Loss  0.879193, Time  0.236524
2021-09-22 01:38:55.171362 : Epoch  1, Batch   1285, Loss  0.872728, Average Loss  0.879241, Time  0.236424
2021-09-22 01:38:57.887095 : Epoch  1, Batch   1286, Loss  0.887754, Average Loss  0.879260, Time  0.238112
2021-09-22 01:39:00.593456 : Epoch  1, Batch   1287, Loss  0.872948, Average Loss  0.879256, Time  0.236231
2021-09-22 01:39:03.317427 : Epoch  1, Batch   1288, Loss  0.885274, Average Loss  0.879299, Time  0.237323
2021-09-22 01:39:06.014381 : Epoch  1, Batch   1289, Loss  0.893700, Average Loss  0.879287, Time  0.237952
2021-09-22 01:39:08.723093 : Epoch  1, Batch   1290, Loss  0.873499, Average Loss  0.879213, Time  0.236651
2021-09-22 01:39:11.414426 : Epoch  1, Batch   1291, Loss  0.875952, Average Loss  0.879174, Time  0.236869
2021-09-22 01:39:14.121006 : Epoch  1, Batch   1292, Loss  0.853425, Average Loss  0.878953, Time  0.237338
2021-09-22 01:39:16.811888 : Epoch  1, Batch   1293, Loss  0.894388, Average Loss  0.879008, Time  0.237069
2021-09-22 01:39:19.515556 : Epoch  1, Batch   1294, Loss  0.891972, Average Loss  0.879186, Time  0.236757
2021-09-22 01:39:22.251906 : Epoch  1, Batch   1295, Loss  0.852736, Average Loss  0.879090, Time  0.244190
2021-09-22 01:39:24.946974 : Epoch  1, Batch   1296, Loss  0.891218, Average Loss  0.879190, Time  0.236367
2021-09-22 01:39:27.642162 : Epoch  1, Batch   1297, Loss  0.886070, Average Loss  0.879178, Time  0.236673
2021-09-22 01:39:30.341368 : Epoch  1, Batch   1298, Loss  0.859414, Average Loss  0.879038, Time  0.236398
2021-09-22 01:39:33.021978 : Epoch  1, Batch   1299, Loss  0.880139, Average Loss  0.878936, Time  0.236746
2021-09-22 01:39:35.697796 : Epoch  1, Batch   1300, Loss  0.861686, Average Loss  0.878797, Time  0.236649
2021-09-22 01:43:45.693748 : CheckPoint: Validation Loss  0.00030590, Best Loss  0.00029833
2021-09-22 01:43:48.338006 : Epoch  1, Batch   1301, Loss  0.888950, Average Loss  0.878867, Time  0.237534
2021-09-22 01:43:50.992348 : Epoch  1, Batch   1302, Loss  0.867968, Average Loss  0.878749, Time  0.235842
2021-09-22 01:43:53.659001 : Epoch  1, Batch   1303, Loss  0.883408, Average Loss  0.878784, Time  0.236161
2021-09-22 01:43:56.338421 : Epoch  1, Batch   1304, Loss  0.878534, Average Loss  0.878845, Time  0.236527
2021-09-22 01:43:58.997237 : Epoch  1, Batch   1305, Loss  0.876099, Average Loss  0.878824, Time  0.236405
2021-09-22 01:44:01.663110 : Epoch  1, Batch   1306, Loss  0.865538, Average Loss  0.878757, Time  0.237258
2021-09-22 01:44:04.340387 : Epoch  1, Batch   1307, Loss  0.872046, Average Loss  0.878833, Time  0.235693
2021-09-22 01:44:06.987390 : Epoch  1, Batch   1308, Loss  0.891437, Average Loss  0.878958, Time  0.236053
2021-09-22 01:44:09.640151 : Epoch  1, Batch   1309, Loss  0.879218, Average Loss  0.878899, Time  0.236532
2021-09-22 01:44:12.289372 : Epoch  1, Batch   1310, Loss  0.887087, Average Loss  0.878979, Time  0.236155
2021-09-22 01:44:14.940908 : Epoch  1, Batch   1311, Loss  0.882878, Average Loss  0.879050, Time  0.236253
2021-09-22 01:44:17.665408 : Epoch  1, Batch   1312, Loss  0.870211, Average Loss  0.878964, Time  0.236067
2021-09-22 01:44:20.355416 : Epoch  1, Batch   1313, Loss  0.876824, Average Loss  0.878892, Time  0.245684
2021-09-22 01:44:23.006421 : Epoch  1, Batch   1314, Loss  0.876883, Average Loss  0.878977, Time  0.235733
2021-09-22 01:44:25.672540 : Epoch  1, Batch   1315, Loss  0.874268, Average Loss  0.878861, Time  0.237053
2021-09-22 01:44:28.320682 : Epoch  1, Batch   1316, Loss  0.902489, Average Loss  0.878947, Time  0.236296
2021-09-22 01:44:30.969022 : Epoch  1, Batch   1317, Loss  0.871914, Average Loss  0.878938, Time  0.236008
2021-09-22 01:44:33.630387 : Epoch  1, Batch   1318, Loss  0.883295, Average Loss  0.878880, Time  0.236386
2021-09-22 01:44:36.289342 : Epoch  1, Batch   1319, Loss  0.884942, Average Loss  0.878946, Time  0.236294
2021-09-22 01:44:38.936170 : Epoch  1, Batch   1320, Loss  0.883520, Average Loss  0.878894, Time  0.238196
2021-09-22 01:44:41.583793 : Epoch  1, Batch   1321, Loss  0.870166, Average Loss  0.878833, Time  0.236598
2021-09-22 01:44:44.226738 : Epoch  1, Batch   1322, Loss  0.862143, Average Loss  0.878799, Time  0.237728
2021-09-22 01:44:46.881930 : Epoch  1, Batch   1323, Loss  0.886597, Average Loss  0.878793, Time  0.236894
2021-09-22 01:44:49.525575 : Epoch  1, Batch   1324, Loss  0.898409, Average Loss  0.878857, Time  0.236817
2021-09-22 01:44:52.191841 : Epoch  1, Batch   1325, Loss  0.887446, Average Loss  0.878924, Time  0.237415
2021-09-22 01:44:54.861846 : Epoch  1, Batch   1326, Loss  0.881027, Average Loss  0.878907, Time  0.236398
2021-09-22 01:44:57.573973 : Epoch  1, Batch   1327, Loss  0.894639, Average Loss  0.879021, Time  0.237550
2021-09-22 01:45:00.220335 : Epoch  1, Batch   1328, Loss  0.919148, Average Loss  0.879171, Time  0.236017
2021-09-22 01:45:02.865423 : Epoch  1, Batch   1329, Loss  0.884181, Average Loss  0.879261, Time  0.236085
2021-09-22 01:45:05.532466 : Epoch  1, Batch   1330, Loss  0.895147, Average Loss  0.879301, Time  0.236726
2021-09-22 01:45:08.183980 : Epoch  1, Batch   1331, Loss  0.869648, Average Loss  0.879216, Time  0.236942
2021-09-22 01:45:10.853135 : Epoch  1, Batch   1332, Loss  0.858137, Average Loss  0.879018, Time  0.236337
2021-09-22 01:45:13.514415 : Epoch  1, Batch   1333, Loss  0.841758, Average Loss  0.878797, Time  0.236081
2021-09-22 01:45:16.181800 : Epoch  1, Batch   1334, Loss  0.865590, Average Loss  0.878765, Time  0.236171
2021-09-22 01:45:18.829714 : Epoch  1, Batch   1335, Loss  0.858442, Average Loss  0.878542, Time  0.236165
2021-09-22 01:45:21.477905 : Epoch  1, Batch   1336, Loss  0.911530, Average Loss  0.878692, Time  0.236170
2021-09-22 01:45:24.127920 : Epoch  1, Batch   1337, Loss  0.877368, Average Loss  0.878656, Time  0.236315
2021-09-22 01:45:26.770833 : Epoch  1, Batch   1338, Loss  0.880435, Average Loss  0.878558, Time  0.236867
2021-09-22 01:45:29.424008 : Epoch  1, Batch   1339, Loss  0.892445, Average Loss  0.878618, Time  0.236541
2021-09-22 01:45:32.064560 : Epoch  1, Batch   1340, Loss  0.864016, Average Loss  0.878599, Time  0.236118
2021-09-22 01:45:34.723460 : Epoch  1, Batch   1341, Loss  0.866535, Average Loss  0.878698, Time  0.236137
2021-09-22 01:45:37.392571 : Epoch  1, Batch   1342, Loss  0.856198, Average Loss  0.878565, Time  0.236741
2021-09-22 01:45:40.052384 : Epoch  1, Batch   1343, Loss  0.875980, Average Loss  0.878616, Time  0.237226
2021-09-22 01:45:42.711868 : Epoch  1, Batch   1344, Loss  0.898565, Average Loss  0.878734, Time  0.236556
2021-09-22 01:45:45.364405 : Epoch  1, Batch   1345, Loss  0.872810, Average Loss  0.878749, Time  0.236606
2021-09-22 01:45:48.029119 : Epoch  1, Batch   1346, Loss  0.892862, Average Loss  0.878841, Time  0.237779
2021-09-22 01:45:50.685428 : Epoch  1, Batch   1347, Loss  0.885119, Average Loss  0.878932, Time  0.236422
2021-09-22 01:45:53.348420 : Epoch  1, Batch   1348, Loss  0.864140, Average Loss  0.878835, Time  0.236876
2021-09-22 01:45:56.011537 : Epoch  1, Batch   1349, Loss  0.887903, Average Loss  0.878918, Time  0.236657
2021-09-22 01:45:58.671170 : Epoch  1, Batch   1350, Loss  0.885768, Average Loss  0.878969, Time  0.236323
2021-09-22 01:46:01.325866 : Epoch  1, Batch   1351, Loss  0.880973, Average Loss  0.879033, Time  0.236833
2021-09-22 01:46:03.993130 : Epoch  1, Batch   1352, Loss  0.887193, Average Loss  0.879088, Time  0.236313
2021-09-22 01:46:06.650945 : Epoch  1, Batch   1353, Loss  0.874196, Average Loss  0.879163, Time  0.236183
2021-09-22 01:46:09.320403 : Epoch  1, Batch   1354, Loss  0.872832, Average Loss  0.879154, Time  0.236168
2021-09-22 01:46:11.987423 : Epoch  1, Batch   1355, Loss  0.889840, Average Loss  0.879197, Time  0.236568
2021-09-22 01:46:14.643029 : Epoch  1, Batch   1356, Loss  0.883567, Average Loss  0.879199, Time  0.236643
2021-09-22 01:46:17.286826 : Epoch  1, Batch   1357, Loss  0.853950, Average Loss  0.879227, Time  0.237484
2021-09-22 01:46:19.938381 : Epoch  1, Batch   1358, Loss  0.864321, Average Loss  0.879234, Time  0.235954
2021-09-22 01:46:22.584040 : Epoch  1, Batch   1359, Loss  0.875445, Average Loss  0.879210, Time  0.236661
2021-09-22 01:46:25.243385 : Epoch  1, Batch   1360, Loss  0.899281, Average Loss  0.879185, Time  0.235778
2021-09-22 01:46:27.894940 : Epoch  1, Batch   1361, Loss  0.867583, Average Loss  0.879097, Time  0.236057
2021-09-22 01:46:30.543380 : Epoch  1, Batch   1362, Loss  0.861884, Average Loss  0.878874, Time  0.235770
2021-09-22 01:46:33.226559 : Epoch  1, Batch   1363, Loss  0.863117, Average Loss  0.878857, Time  0.236281
2021-09-22 01:46:35.874374 : Epoch  1, Batch   1364, Loss  0.873458, Average Loss  0.878875, Time  0.235530
2021-09-22 01:46:38.523196 : Epoch  1, Batch   1365, Loss  0.860710, Average Loss  0.878759, Time  0.236139
2021-09-22 01:46:41.195333 : Epoch  1, Batch   1366, Loss  0.873465, Average Loss  0.878760, Time  0.237667
2021-09-22 01:46:43.845642 : Epoch  1, Batch   1367, Loss  0.885596, Average Loss  0.878773, Time  0.235957
2021-09-22 01:46:46.510450 : Epoch  1, Batch   1368, Loss  0.880642, Average Loss  0.878822, Time  0.236921
2021-09-22 01:46:49.174431 : Epoch  1, Batch   1369, Loss  0.880818, Average Loss  0.878873, Time  0.236472
2021-09-22 01:46:51.839925 : Epoch  1, Batch   1370, Loss  0.872793, Average Loss  0.878890, Time  0.236974
2021-09-22 01:46:54.510389 : Epoch  1, Batch   1371, Loss  0.879881, Average Loss  0.878805, Time  0.236428
2021-09-22 01:46:57.182441 : Epoch  1, Batch   1372, Loss  0.886986, Average Loss  0.878807, Time  0.236835
2021-09-22 01:46:59.844428 : Epoch  1, Batch   1373, Loss  0.895528, Average Loss  0.878941, Time  0.237941
2021-09-22 01:47:02.552539 : Epoch  1, Batch   1374, Loss  0.884888, Average Loss  0.879053, Time  0.236551
2021-09-22 01:47:05.193579 : Epoch  1, Batch   1375, Loss  0.859160, Average Loss  0.878948, Time  0.235873
2021-09-22 01:47:07.843350 : Epoch  1, Batch   1376, Loss  0.873940, Average Loss  0.878887, Time  0.237068
2021-09-22 01:47:10.494049 : Epoch  1, Batch   1377, Loss  0.892050, Average Loss  0.878981, Time  0.237099
2021-09-22 01:47:13.154984 : Epoch  1, Batch   1378, Loss  0.858112, Average Loss  0.878778, Time  0.236323
2021-09-22 01:47:15.803380 : Epoch  1, Batch   1379, Loss  0.865350, Average Loss  0.878760, Time  0.236219
2021-09-22 01:47:18.457831 : Epoch  1, Batch   1380, Loss  0.879367, Average Loss  0.878763, Time  0.236229
2021-09-22 01:47:21.103402 : Epoch  1, Batch   1381, Loss  0.869259, Average Loss  0.878723, Time  0.236187
2021-09-22 01:47:23.799948 : Epoch  1, Batch   1382, Loss  0.884463, Average Loss  0.878735, Time  0.237309
2021-09-22 01:47:26.452393 : Epoch  1, Batch   1383, Loss  0.914892, Average Loss  0.878887, Time  0.235939
2021-09-22 01:47:29.103894 : Epoch  1, Batch   1384, Loss  0.904163, Average Loss  0.879009, Time  0.236079
2021-09-22 01:47:31.757658 : Epoch  1, Batch   1385, Loss  0.874799, Average Loss  0.878831, Time  0.236092
2021-09-22 01:47:34.417359 : Epoch  1, Batch   1386, Loss  0.879717, Average Loss  0.878857, Time  0.236066
2021-09-22 01:47:37.074834 : Epoch  1, Batch   1387, Loss  0.888948, Average Loss  0.878841, Time  0.236998
2021-09-22 01:47:39.761290 : Epoch  1, Batch   1388, Loss  0.845977, Average Loss  0.878691, Time  0.236208
2021-09-22 01:47:42.411331 : Epoch  1, Batch   1389, Loss  0.869497, Average Loss  0.878620, Time  0.237523
2021-09-22 01:47:45.077014 : Epoch  1, Batch   1390, Loss  0.877780, Average Loss  0.878601, Time  0.236447
2021-09-22 01:47:47.730041 : Epoch  1, Batch   1391, Loss  0.919630, Average Loss  0.878665, Time  0.236829
2021-09-22 01:47:50.384875 : Epoch  1, Batch   1392, Loss  0.888394, Average Loss  0.878779, Time  0.236811
2021-09-22 01:47:53.058851 : Epoch  1, Batch   1393, Loss  0.869260, Average Loss  0.878635, Time  0.239580
2021-09-22 01:47:55.750143 : Epoch  1, Batch   1394, Loss  0.889260, Average Loss  0.878603, Time  0.237140
2021-09-22 01:47:58.398537 : Epoch  1, Batch   1395, Loss  0.886096, Average Loss  0.878641, Time  0.236604
2021-09-22 01:48:01.045161 : Epoch  1, Batch   1396, Loss  0.857074, Average Loss  0.878553, Time  0.236953
2021-09-22 01:48:04.001931 : Epoch  1, Batch   1397, Loss  0.861212, Average Loss  0.878469, Time  0.264432
2021-09-22 01:48:06.655877 : Epoch  1, Batch   1398, Loss  0.891243, Average Loss  0.878657, Time  0.239758
2021-09-22 01:48:09.324418 : Epoch  1, Batch   1399, Loss  0.869592, Average Loss  0.878489, Time  0.238687
2021-09-22 01:48:11.970549 : Epoch  1, Batch   1400, Loss  0.892730, Average Loss  0.878529, Time  0.235782
2021-09-22 01:52:22.171913 : CheckPoint: Validation Loss  0.00030227, Best Loss  0.00029833
2021-09-22 01:52:24.838933 : Epoch  1, Batch   1401, Loss  0.903226, Average Loss  0.878636, Time  0.238518
2021-09-22 01:52:27.499072 : Epoch  1, Batch   1402, Loss  0.878229, Average Loss  0.878591, Time  0.236278
2021-09-22 01:52:30.153400 : Epoch  1, Batch   1403, Loss  0.893292, Average Loss  0.878686, Time  0.236822
2021-09-22 01:52:32.808247 : Epoch  1, Batch   1404, Loss  0.877672, Average Loss  0.878756, Time  0.236948
2021-09-22 01:52:35.454999 : Epoch  1, Batch   1405, Loss  0.871163, Average Loss  0.878831, Time  0.236400
2021-09-22 01:52:38.099394 : Epoch  1, Batch   1406, Loss  0.884206, Average Loss  0.878988, Time  0.236342
2021-09-22 01:52:40.756875 : Epoch  1, Batch   1407, Loss  0.860108, Average Loss  0.878839, Time  0.236889
2021-09-22 01:52:43.411425 : Epoch  1, Batch   1408, Loss  0.879752, Average Loss  0.878801, Time  0.236326
2021-09-22 01:52:46.067867 : Epoch  1, Batch   1409, Loss  0.854926, Average Loss  0.878772, Time  0.237165
2021-09-22 01:52:48.732108 : Epoch  1, Batch   1410, Loss  0.898263, Average Loss  0.878744, Time  0.236503
2021-09-22 01:52:51.376543 : Epoch  1, Batch   1411, Loss  0.880325, Average Loss  0.878744, Time  0.236472
2021-09-22 01:52:54.053437 : Epoch  1, Batch   1412, Loss  0.871017, Average Loss  0.878774, Time  0.237128
2021-09-22 01:52:56.710241 : Epoch  1, Batch   1413, Loss  0.877731, Average Loss  0.878682, Time  0.236804
2021-09-22 01:52:59.370472 : Epoch  1, Batch   1414, Loss  0.873103, Average Loss  0.878776, Time  0.236755
2021-09-22 01:53:02.050024 : Epoch  1, Batch   1415, Loss  0.870135, Average Loss  0.878637, Time  0.236929
2021-09-22 01:53:04.723144 : Epoch  1, Batch   1416, Loss  0.877030, Average Loss  0.878714, Time  0.236105
2021-09-22 01:53:07.466097 : Epoch  1, Batch   1417, Loss  0.873233, Average Loss  0.878676, Time  0.236597
2021-09-22 01:53:10.159682 : Epoch  1, Batch   1418, Loss  0.878957, Average Loss  0.878697, Time  0.236305
2021-09-22 01:53:12.815064 : Epoch  1, Batch   1419, Loss  0.894273, Average Loss  0.878729, Time  0.236197
2021-09-22 01:53:15.474935 : Epoch  1, Batch   1420, Loss  0.873980, Average Loss  0.878785, Time  0.236543
2021-09-22 01:53:18.143560 : Epoch  1, Batch   1421, Loss  0.862465, Average Loss  0.878681, Time  0.236140
2021-09-22 01:53:20.812565 : Epoch  1, Batch   1422, Loss  0.871580, Average Loss  0.878604, Time  0.237183
2021-09-22 01:53:23.492575 : Epoch  1, Batch   1423, Loss  0.916893, Average Loss  0.878794, Time  0.236620
2021-09-22 01:53:26.171419 : Epoch  1, Batch   1424, Loss  0.872987, Average Loss  0.878808, Time  0.237973
2021-09-22 01:53:28.830061 : Epoch  1, Batch   1425, Loss  0.881365, Average Loss  0.878779, Time  0.236697
2021-09-22 01:53:31.497267 : Epoch  1, Batch   1426, Loss  0.864705, Average Loss  0.878744, Time  0.237555
2021-09-22 01:53:34.193372 : Epoch  1, Batch   1427, Loss  0.869819, Average Loss  0.878665, Time  0.236985
2021-09-22 01:53:36.866117 : Epoch  1, Batch   1428, Loss  0.884808, Average Loss  0.878698, Time  0.236983
2021-09-22 01:53:39.529131 : Epoch  1, Batch   1429, Loss  0.875260, Average Loss  0.878777, Time  0.236280
2021-09-22 01:53:42.183593 : Epoch  1, Batch   1430, Loss  0.882448, Average Loss  0.878885, Time  0.236708
2021-09-22 01:53:44.843796 : Epoch  1, Batch   1431, Loss  0.863830, Average Loss  0.878791, Time  0.237510
2021-09-22 01:53:47.501156 : Epoch  1, Batch   1432, Loss  0.865871, Average Loss  0.878732, Time  0.236170
2021-09-22 01:53:50.159507 : Epoch  1, Batch   1433, Loss  0.887655, Average Loss  0.878716, Time  0.236924
2021-09-22 01:53:52.823416 : Epoch  1, Batch   1434, Loss  0.875717, Average Loss  0.878596, Time  0.236074
2021-09-22 01:53:55.493245 : Epoch  1, Batch   1435, Loss  0.883534, Average Loss  0.878581, Time  0.236550
2021-09-22 01:53:58.163437 : Epoch  1, Batch   1436, Loss  0.870662, Average Loss  0.878472, Time  0.236278
2021-09-22 01:54:00.835377 : Epoch  1, Batch   1437, Loss  0.870145, Average Loss  0.878407, Time  0.236371
2021-09-22 01:54:03.485185 : Epoch  1, Batch   1438, Loss  0.871327, Average Loss  0.878446, Time  0.236621
2021-09-22 01:54:06.154924 : Epoch  1, Batch   1439, Loss  0.878912, Average Loss  0.878505, Time  0.236645
2021-09-22 01:54:08.812818 : Epoch  1, Batch   1440, Loss  0.873444, Average Loss  0.878555, Time  0.237530
2021-09-22 01:54:11.519740 : Epoch  1, Batch   1441, Loss  0.869932, Average Loss  0.878569, Time  0.236797
2021-09-22 01:54:14.199054 : Epoch  1, Batch   1442, Loss  0.870139, Average Loss  0.878585, Time  0.236823
2021-09-22 01:54:16.873629 : Epoch  1, Batch   1443, Loss  0.877205, Average Loss  0.878524, Time  0.236989
2021-09-22 01:54:19.542960 : Epoch  1, Batch   1444, Loss  0.887866, Average Loss  0.878502, Time  0.236778
2021-09-22 01:54:22.209017 : Epoch  1, Batch   1445, Loss  0.878168, Average Loss  0.878525, Time  0.236970
2021-09-22 01:54:24.886307 : Epoch  1, Batch   1446, Loss  0.873119, Average Loss  0.878566, Time  0.237077
2021-09-22 01:54:27.554044 : Epoch  1, Batch   1447, Loss  0.894766, Average Loss  0.878723, Time  0.238121
2021-09-22 01:54:30.228085 : Epoch  1, Batch   1448, Loss  0.865323, Average Loss  0.878672, Time  0.236790
2021-09-22 01:54:32.907573 : Epoch  1, Batch   1449, Loss  0.862762, Average Loss  0.878566, Time  0.236897
2021-09-22 01:54:35.571135 : Epoch  1, Batch   1450, Loss  0.898694, Average Loss  0.878719, Time  0.237393
2021-09-22 01:54:38.229810 : Epoch  1, Batch   1451, Loss  0.889996, Average Loss  0.878881, Time  0.236449
2021-09-22 01:54:40.962410 : Epoch  1, Batch   1452, Loss  0.869709, Average Loss  0.878727, Time  0.236994
2021-09-22 01:54:43.625676 : Epoch  1, Batch   1453, Loss  0.862203, Average Loss  0.878644, Time  0.237401
2021-09-22 01:54:46.297416 : Epoch  1, Batch   1454, Loss  0.872401, Average Loss  0.878683, Time  0.236622
2021-09-22 01:54:48.964885 : Epoch  1, Batch   1455, Loss  0.890830, Average Loss  0.878680, Time  0.236784
2021-09-22 01:54:51.627892 : Epoch  1, Batch   1456, Loss  0.860212, Average Loss  0.878553, Time  0.236717
2021-09-22 01:54:54.289061 : Epoch  1, Batch   1457, Loss  0.872028, Average Loss  0.878581, Time  0.236920
2021-09-22 01:54:56.948031 : Epoch  1, Batch   1458, Loss  0.871812, Average Loss  0.878535, Time  0.236466
2021-09-22 01:54:59.606396 : Epoch  1, Batch   1459, Loss  0.880000, Average Loss  0.878513, Time  0.236542
2021-09-22 01:55:02.263775 : Epoch  1, Batch   1460, Loss  0.895912, Average Loss  0.878588, Time  0.237699
2021-09-22 01:55:04.969425 : Epoch  1, Batch   1461, Loss  0.865909, Average Loss  0.878428, Time  0.236539
2021-09-22 01:55:07.635188 : Epoch  1, Batch   1462, Loss  0.860674, Average Loss  0.878362, Time  0.237017
2021-09-22 01:55:10.297401 : Epoch  1, Batch   1463, Loss  0.888583, Average Loss  0.878425, Time  0.236510
2021-09-22 01:55:12.954867 : Epoch  1, Batch   1464, Loss  0.899627, Average Loss  0.878356, Time  0.236194
2021-09-22 01:55:15.612412 : Epoch  1, Batch   1465, Loss  0.855605, Average Loss  0.878216, Time  0.236227
2021-09-22 01:55:18.293075 : Epoch  1, Batch   1466, Loss  0.890178, Average Loss  0.878236, Time  0.236697
2021-09-22 01:55:20.958251 : Epoch  1, Batch   1467, Loss  0.855131, Average Loss  0.878186, Time  0.236613
2021-09-22 01:55:23.607502 : Epoch  1, Batch   1468, Loss  0.874651, Average Loss  0.878026, Time  0.236505
2021-09-22 01:55:26.281868 : Epoch  1, Batch   1469, Loss  0.877748, Average Loss  0.878061, Time  0.236695
2021-09-22 01:55:28.950571 : Epoch  1, Batch   1470, Loss  0.880892, Average Loss  0.877989, Time  0.237165
2021-09-22 01:55:31.609027 : Epoch  1, Batch   1471, Loss  0.876253, Average Loss  0.877958, Time  0.236648
2021-09-22 01:55:34.268144 : Epoch  1, Batch   1472, Loss  0.863991, Average Loss  0.877931, Time  0.236680
2021-09-22 01:55:36.922589 : Epoch  1, Batch   1473, Loss  0.882743, Average Loss  0.877941, Time  0.236916
2021-09-22 01:55:39.582696 : Epoch  1, Batch   1474, Loss  0.880259, Average Loss  0.878053, Time  0.236798
2021-09-22 01:55:42.269014 : Epoch  1, Batch   1475, Loss  0.850475, Average Loss  0.877896, Time  0.236673
2021-09-22 01:55:44.933371 : Epoch  1, Batch   1476, Loss  0.903966, Average Loss  0.878125, Time  0.236480
2021-09-22 01:55:47.598948 : Epoch  1, Batch   1477, Loss  0.872711, Average Loss  0.878101, Time  0.237125
2021-09-22 01:55:50.259564 : Epoch  1, Batch   1478, Loss  0.872665, Average Loss  0.878003, Time  0.236581
2021-09-22 01:55:52.928999 : Epoch  1, Batch   1479, Loss  0.875794, Average Loss  0.877890, Time  0.237009
2021-09-22 01:55:55.595390 : Epoch  1, Batch   1480, Loss  0.893991, Average Loss  0.877930, Time  0.236302
2021-09-22 01:55:58.255876 : Epoch  1, Batch   1481, Loss  0.857272, Average Loss  0.877778, Time  0.237339
2021-09-22 01:56:00.915412 : Epoch  1, Batch   1482, Loss  0.893159, Average Loss  0.877881, Time  0.235853
2021-09-22 01:56:03.571013 : Epoch  1, Batch   1483, Loss  0.856124, Average Loss  0.877872, Time  0.236689
2021-09-22 01:56:06.274014 : Epoch  1, Batch   1484, Loss  0.857860, Average Loss  0.877744, Time  0.236251
2021-09-22 01:56:08.946400 : Epoch  1, Batch   1485, Loss  0.860829, Average Loss  0.877685, Time  0.236889
2021-09-22 01:56:11.601430 : Epoch  1, Batch   1486, Loss  0.869510, Average Loss  0.877594, Time  0.236549
2021-09-22 01:56:14.280936 : Epoch  1, Batch   1487, Loss  0.894272, Average Loss  0.877700, Time  0.237034
2021-09-22 01:56:16.969593 : Epoch  1, Batch   1488, Loss  0.883034, Average Loss  0.877689, Time  0.236228
2021-09-22 01:56:19.641409 : Epoch  1, Batch   1489, Loss  0.870672, Average Loss  0.877574, Time  0.236379
2021-09-22 01:56:22.309409 : Epoch  1, Batch   1490, Loss  0.861001, Average Loss  0.877511, Time  0.237201
2021-09-22 01:56:24.973914 : Epoch  1, Batch   1491, Loss  0.877019, Average Loss  0.877517, Time  0.237126
2021-09-22 01:56:27.648409 : Epoch  1, Batch   1492, Loss  0.882586, Average Loss  0.877663, Time  0.236586
2021-09-22 01:56:30.317287 : Epoch  1, Batch   1493, Loss  0.845307, Average Loss  0.877417, Time  0.238255
2021-09-22 01:56:32.975618 : Epoch  1, Batch   1494, Loss  0.887394, Average Loss  0.877394, Time  0.236391
2021-09-22 01:56:35.631044 : Epoch  1, Batch   1495, Loss  0.878470, Average Loss  0.877523, Time  0.237678
2021-09-22 01:56:38.289096 : Epoch  1, Batch   1496, Loss  0.887311, Average Loss  0.877503, Time  0.237107
2021-09-22 01:56:40.951570 : Epoch  1, Batch   1497, Loss  0.879071, Average Loss  0.877468, Time  0.236858
2021-09-22 01:56:43.620392 : Epoch  1, Batch   1498, Loss  0.876576, Average Loss  0.877554, Time  0.236897
2021-09-22 01:56:46.287409 : Epoch  1, Batch   1499, Loss  0.881049, Average Loss  0.877559, Time  0.236423
2021-09-22 01:56:48.937885 : Epoch  1, Batch   1500, Loss  0.871824, Average Loss  0.877609, Time  0.237172
2021-09-22 02:00:59.675330 : CheckPoint: Validation Loss  0.00030105, Best Loss  0.00029833
2021-09-22 02:01:02.337061 : Epoch  1, Batch   1501, Loss  0.881898, Average Loss  0.877574, Time  0.237773
2021-09-22 02:01:05.008517 : Epoch  1, Batch   1502, Loss  0.891088, Average Loss  0.877690, Time  0.237460
2021-09-22 02:01:07.672237 : Epoch  1, Batch   1503, Loss  0.885724, Average Loss  0.877701, Time  0.236426
2021-09-22 02:01:10.329856 : Epoch  1, Batch   1504, Loss  0.856065, Average Loss  0.877589, Time  0.236248
2021-09-22 02:01:12.995975 : Epoch  1, Batch   1505, Loss  0.875697, Average Loss  0.877587, Time  0.237275
2021-09-22 02:01:15.656815 : Epoch  1, Batch   1506, Loss  0.862265, Average Loss  0.877571, Time  0.236714
2021-09-22 02:01:18.334473 : Epoch  1, Batch   1507, Loss  0.875047, Average Loss  0.877586, Time  0.237474
2021-09-22 02:01:20.995437 : Epoch  1, Batch   1508, Loss  0.864322, Average Loss  0.877450, Time  0.237013
2021-09-22 02:01:23.722955 : Epoch  1, Batch   1509, Loss  0.884045, Average Loss  0.877474, Time  0.236560
2021-09-22 02:01:26.403605 : Epoch  1, Batch   1510, Loss  0.900626, Average Loss  0.877542, Time  0.235964
2021-09-22 02:01:29.058568 : Epoch  1, Batch   1511, Loss  0.871893, Average Loss  0.877487, Time  0.236150
2021-09-22 02:01:31.756414 : Epoch  1, Batch   1512, Loss  0.879849, Average Loss  0.877535, Time  0.236354
2021-09-22 02:01:34.416216 : Epoch  1, Batch   1513, Loss  0.869020, Average Loss  0.877496, Time  0.236501
2021-09-22 02:01:37.072473 : Epoch  1, Batch   1514, Loss  0.881058, Average Loss  0.877517, Time  0.236686
2021-09-22 02:01:39.731085 : Epoch  1, Batch   1515, Loss  0.873443, Average Loss  0.877513, Time  0.237050
2021-09-22 02:01:42.389397 : Epoch  1, Batch   1516, Loss  0.888191, Average Loss  0.877441, Time  0.235933
2021-09-22 02:01:45.045180 : Epoch  1, Batch   1517, Loss  0.870902, Average Loss  0.877436, Time  0.237228
2021-09-22 02:01:47.716204 : Epoch  1, Batch   1518, Loss  0.890168, Average Loss  0.877471, Time  0.237732
2021-09-22 02:01:50.365065 : Epoch  1, Batch   1519, Loss  0.880284, Average Loss  0.877447, Time  0.236936
2021-09-22 02:01:53.022040 : Epoch  1, Batch   1520, Loss  0.868634, Average Loss  0.877373, Time  0.236498
2021-09-22 02:01:55.676042 : Epoch  1, Batch   1521, Loss  0.870515, Average Loss  0.877375, Time  0.236188
2021-09-22 02:01:58.331263 : Epoch  1, Batch   1522, Loss  0.871109, Average Loss  0.877420, Time  0.239369
2021-09-22 02:02:00.977149 : Epoch  1, Batch   1523, Loss  0.855081, Average Loss  0.877262, Time  0.236194
2021-09-22 02:02:03.614222 : Epoch  1, Batch   1524, Loss  0.888532, Average Loss  0.877213, Time  0.237886
2021-09-22 02:02:06.260749 : Epoch  1, Batch   1525, Loss  0.908070, Average Loss  0.877316, Time  0.237103
2021-09-22 02:02:08.943876 : Epoch  1, Batch   1526, Loss  0.863321, Average Loss  0.877227, Time  0.236657
2021-09-22 02:02:11.610399 : Epoch  1, Batch   1527, Loss  0.871723, Average Loss  0.877113, Time  0.236718
2021-09-22 02:02:14.265022 : Epoch  1, Batch   1528, Loss  0.871227, Average Loss  0.876873, Time  0.238249
2021-09-22 02:02:16.924418 : Epoch  1, Batch   1529, Loss  0.876191, Average Loss  0.876833, Time  0.237095
2021-09-22 02:02:19.586486 : Epoch  1, Batch   1530, Loss  0.871052, Average Loss  0.876713, Time  0.237521
2021-09-22 02:02:22.232916 : Epoch  1, Batch   1531, Loss  0.870220, Average Loss  0.876715, Time  0.236871
2021-09-22 02:02:24.889952 : Epoch  1, Batch   1532, Loss  0.866118, Average Loss  0.876755, Time  0.236376
2021-09-22 02:02:27.542388 : Epoch  1, Batch   1533, Loss  0.881650, Average Loss  0.876955, Time  0.236759
2021-09-22 02:02:30.193977 : Epoch  1, Batch   1534, Loss  0.881972, Average Loss  0.877037, Time  0.236242
2021-09-22 02:02:32.850539 : Epoch  1, Batch   1535, Loss  0.869575, Average Loss  0.877092, Time  0.237054
2021-09-22 02:02:35.513861 : Epoch  1, Batch   1536, Loss  0.859123, Average Loss  0.876830, Time  0.237509
2021-09-22 02:02:38.173423 : Epoch  1, Batch   1537, Loss  0.844147, Average Loss  0.876664, Time  0.239255
2021-09-22 02:02:40.830903 : Epoch  1, Batch   1538, Loss  0.873799, Average Loss  0.876631, Time  0.236287
2021-09-22 02:02:43.499405 : Epoch  1, Batch   1539, Loss  0.868408, Average Loss  0.876511, Time  0.237083
2021-09-22 02:02:46.143000 : Epoch  1, Batch   1540, Loss  0.880669, Average Loss  0.876594, Time  0.236728
2021-09-22 02:02:48.799382 : Epoch  1, Batch   1541, Loss  0.856818, Average Loss  0.876546, Time  0.236232
2021-09-22 02:02:51.447619 : Epoch  1, Batch   1542, Loss  0.869232, Average Loss  0.876611, Time  0.235821
2021-09-22 02:02:54.174437 : Epoch  1, Batch   1543, Loss  0.886947, Average Loss  0.876666, Time  0.248989
2021-09-22 02:02:56.896399 : Epoch  1, Batch   1544, Loss  0.896045, Average Loss  0.876653, Time  0.237137
2021-09-22 02:02:59.547380 : Epoch  1, Batch   1545, Loss  0.856344, Average Loss  0.876571, Time  0.239292
2021-09-22 02:03:02.203200 : Epoch  1, Batch   1546, Loss  0.882254, Average Loss  0.876518, Time  0.236885
2021-09-22 02:03:04.857405 : Epoch  1, Batch   1547, Loss  0.882089, Average Loss  0.876502, Time  0.236169
2021-09-22 02:03:07.507245 : Epoch  1, Batch   1548, Loss  0.861438, Average Loss  0.876489, Time  0.236940
2021-09-22 02:03:10.232933 : Epoch  1, Batch   1549, Loss  0.881234, Average Loss  0.876456, Time  0.237085
2021-09-22 02:03:12.899057 : Epoch  1, Batch   1550, Loss  0.869069, Average Loss  0.876372, Time  0.237617
2021-09-22 02:03:15.558407 : Epoch  1, Batch   1551, Loss  0.888147, Average Loss  0.876408, Time  0.236711
2021-09-22 02:03:18.213440 : Epoch  1, Batch   1552, Loss  0.887559, Average Loss  0.876410, Time  0.236842
2021-09-22 02:03:20.899219 : Epoch  1, Batch   1553, Loss  0.867111, Average Loss  0.876374, Time  0.236920
2021-09-22 02:03:23.579418 : Epoch  1, Batch   1554, Loss  0.885337, Average Loss  0.876437, Time  0.236175
2021-09-22 02:03:26.252942 : Epoch  1, Batch   1555, Loss  0.885218, Average Loss  0.876414, Time  0.236447
2021-09-22 02:03:28.915897 : Epoch  1, Batch   1556, Loss  0.867965, Average Loss  0.876336, Time  0.237034
2021-09-22 02:03:31.568419 : Epoch  1, Batch   1557, Loss  0.891510, Average Loss  0.876524, Time  0.236534
2021-09-22 02:03:34.227799 : Epoch  1, Batch   1558, Loss  0.866654, Average Loss  0.876535, Time  0.236725
2021-09-22 02:03:36.882899 : Epoch  1, Batch   1559, Loss  0.889500, Average Loss  0.876605, Time  0.236941
2021-09-22 02:03:39.536331 : Epoch  1, Batch   1560, Loss  0.883219, Average Loss  0.876525, Time  0.236496
2021-09-22 02:03:42.204850 : Epoch  1, Batch   1561, Loss  0.875900, Average Loss  0.876567, Time  0.236976
2021-09-22 02:03:44.865044 : Epoch  1, Batch   1562, Loss  0.882072, Average Loss  0.876668, Time  0.235738
2021-09-22 02:03:47.528415 : Epoch  1, Batch   1563, Loss  0.887303, Average Loss  0.876789, Time  0.236215
2021-09-22 02:03:50.180799 : Epoch  1, Batch   1564, Loss  0.877816, Average Loss  0.876810, Time  0.237552
2021-09-22 02:03:52.881015 : Epoch  1, Batch   1565, Loss  0.872024, Average Loss  0.876867, Time  0.236101
2021-09-22 02:03:55.528825 : Epoch  1, Batch   1566, Loss  0.884963, Average Loss  0.876924, Time  0.236848
2021-09-22 02:03:58.173170 : Epoch  1, Batch   1567, Loss  0.877649, Average Loss  0.876885, Time  0.236357
2021-09-22 02:04:00.830030 : Epoch  1, Batch   1568, Loss  0.864536, Average Loss  0.876804, Time  0.236641
2021-09-22 02:04:03.505069 : Epoch  1, Batch   1569, Loss  0.886369, Average Loss  0.876832, Time  0.237481
2021-09-22 02:04:06.167022 : Epoch  1, Batch   1570, Loss  0.875653, Average Loss  0.876846, Time  0.235983
2021-09-22 02:04:08.816407 : Epoch  1, Batch   1571, Loss  0.882329, Average Loss  0.876858, Time  0.236766
2021-09-22 02:04:11.461437 : Epoch  1, Batch   1572, Loss  0.863101, Average Loss  0.876739, Time  0.237411
2021-09-22 02:04:14.116956 : Epoch  1, Batch   1573, Loss  0.875628, Average Loss  0.876640, Time  0.237403
2021-09-22 02:04:16.777012 : Epoch  1, Batch   1574, Loss  0.879358, Average Loss  0.876612, Time  0.237421
2021-09-22 02:04:19.425933 : Epoch  1, Batch   1575, Loss  0.878048, Average Loss  0.876706, Time  0.237259
2021-09-22 02:04:22.082859 : Epoch  1, Batch   1576, Loss  0.883183, Average Loss  0.876753, Time  0.237464
2021-09-22 02:04:24.742388 : Epoch  1, Batch   1577, Loss  0.866423, Average Loss  0.876624, Time  0.238734
2021-09-22 02:04:27.405849 : Epoch  1, Batch   1578, Loss  0.856074, Average Loss  0.876614, Time  0.237136
2021-09-22 02:04:30.067402 : Epoch  1, Batch   1579, Loss  0.885627, Average Loss  0.876716, Time  0.239122
2021-09-22 02:04:32.721407 : Epoch  1, Batch   1580, Loss  0.862912, Average Loss  0.876633, Time  0.238915
2021-09-22 02:04:35.403017 : Epoch  1, Batch   1581, Loss  0.880873, Average Loss  0.876691, Time  0.238768
2021-09-22 02:04:38.036410 : Epoch  1, Batch   1582, Loss  0.859931, Average Loss  0.876569, Time  0.236073
2021-09-22 02:04:40.682395 : Epoch  1, Batch   1583, Loss  0.879221, Average Loss  0.876390, Time  0.236378
2021-09-22 02:04:43.319176 : Epoch  1, Batch   1584, Loss  0.880869, Average Loss  0.876274, Time  0.236024
2021-09-22 02:04:45.959885 : Epoch  1, Batch   1585, Loss  0.876373, Average Loss  0.876282, Time  0.236415
2021-09-22 02:04:48.606399 : Epoch  1, Batch   1586, Loss  0.863446, Average Loss  0.876200, Time  0.236817
2021-09-22 02:04:51.258911 : Epoch  1, Batch   1587, Loss  0.882226, Average Loss  0.876167, Time  0.237365
2021-09-22 02:04:53.938835 : Epoch  1, Batch   1588, Loss  0.888198, Average Loss  0.876378, Time  0.239726
2021-09-22 02:04:56.605413 : Epoch  1, Batch   1589, Loss  0.897194, Average Loss  0.876516, Time  0.236349
2021-09-22 02:04:59.305393 : Epoch  1, Batch   1590, Loss  0.877892, Average Loss  0.876517, Time  0.239752
2021-09-22 02:05:01.999408 : Epoch  1, Batch   1591, Loss  0.873714, Average Loss  0.876287, Time  0.236574
2021-09-22 02:05:04.652429 : Epoch  1, Batch   1592, Loss  0.864188, Average Loss  0.876166, Time  0.236511
2021-09-22 02:05:07.299422 : Epoch  1, Batch   1593, Loss  0.897062, Average Loss  0.876305, Time  0.236272
2021-09-22 02:05:09.966399 : Epoch  1, Batch   1594, Loss  0.847146, Average Loss  0.876095, Time  0.237166
2021-09-22 02:05:12.624413 : Epoch  1, Batch   1595, Loss  0.857935, Average Loss  0.875954, Time  0.240024
2021-09-22 02:05:15.284624 : Epoch  1, Batch   1596, Loss  0.859304, Average Loss  0.875965, Time  0.235913
2021-09-22 02:05:17.930870 : Epoch  1, Batch   1597, Loss  0.867026, Average Loss  0.875994, Time  0.237319
2021-09-22 02:05:20.586957 : Epoch  1, Batch   1598, Loss  0.852805, Average Loss  0.875802, Time  0.236350
2021-09-22 02:05:23.257086 : Epoch  1, Batch   1599, Loss  0.867357, Average Loss  0.875791, Time  0.237257
2021-09-22 02:05:25.915438 : Epoch  1, Batch   1600, Loss  0.912981, Average Loss  0.875892, Time  0.238049
2021-09-22 02:09:35.881749 : CheckPoint: Validation Loss  0.00030158, Best Loss  0.00029833
2021-09-22 02:09:38.548023 : Epoch  1, Batch   1601, Loss  0.898400, Average Loss  0.875868, Time  0.238051
2021-09-22 02:09:41.210165 : Epoch  1, Batch   1602, Loss  0.875698, Average Loss  0.875855, Time  0.236821
2021-09-22 02:09:43.872350 : Epoch  1, Batch   1603, Loss  0.880326, Average Loss  0.875791, Time  0.235880
2021-09-22 02:09:46.528114 : Epoch  1, Batch   1604, Loss  0.879576, Average Loss  0.875800, Time  0.236806
2021-09-22 02:09:49.184127 : Epoch  1, Batch   1605, Loss  0.892847, Average Loss  0.875908, Time  0.236752
2021-09-22 02:09:51.892123 : Epoch  1, Batch   1606, Loss  0.871730, Average Loss  0.875846, Time  0.236395
2021-09-22 02:09:54.572798 : Epoch  1, Batch   1607, Loss  0.879369, Average Loss  0.875942, Time  0.236767
2021-09-22 02:09:57.264897 : Epoch  1, Batch   1608, Loss  0.891470, Average Loss  0.876001, Time  0.259385
2021-09-22 02:09:59.919134 : Epoch  1, Batch   1609, Loss  0.881774, Average Loss  0.876135, Time  0.238014
2021-09-22 02:10:02.565299 : Epoch  1, Batch   1610, Loss  0.875905, Average Loss  0.876023, Time  0.236703
2021-09-22 02:10:05.265845 : Epoch  1, Batch   1611, Loss  0.864187, Average Loss  0.875943, Time  0.237721
2021-09-22 02:10:07.935584 : Epoch  1, Batch   1612, Loss  0.859068, Average Loss  0.875883, Time  0.237213
2021-09-22 02:10:10.595548 : Epoch  1, Batch   1613, Loss  0.865860, Average Loss  0.875824, Time  0.236782
2021-09-22 02:10:13.285968 : Epoch  1, Batch   1614, Loss  0.851757, Average Loss  0.875717, Time  0.237368
2021-09-22 02:10:15.961996 : Epoch  1, Batch   1615, Loss  0.877509, Average Loss  0.875754, Time  0.236918
2021-09-22 02:10:18.623198 : Epoch  1, Batch   1616, Loss  0.890857, Average Loss  0.875823, Time  0.236993
2021-09-22 02:10:21.302071 : Epoch  1, Batch   1617, Loss  0.877989, Average Loss  0.875847, Time  0.237185
2021-09-22 02:10:23.965569 : Epoch  1, Batch   1618, Loss  0.873594, Average Loss  0.875820, Time  0.236592
2021-09-22 02:10:26.630566 : Epoch  1, Batch   1619, Loss  0.874140, Average Loss  0.875719, Time  0.236894
2021-09-22 02:10:29.295390 : Epoch  1, Batch   1620, Loss  0.878891, Average Loss  0.875744, Time  0.236482
2021-09-22 02:10:31.951895 : Epoch  1, Batch   1621, Loss  0.886798, Average Loss  0.875865, Time  0.237028
2021-09-22 02:10:34.640416 : Epoch  1, Batch   1622, Loss  0.862898, Average Loss  0.875822, Time  0.235932
2021-09-22 02:10:37.323144 : Epoch  1, Batch   1623, Loss  0.882368, Average Loss  0.875649, Time  0.236713
2021-09-22 02:10:39.970575 : Epoch  1, Batch   1624, Loss  0.866518, Average Loss  0.875617, Time  0.236091
2021-09-22 02:10:42.622569 : Epoch  1, Batch   1625, Loss  0.882414, Average Loss  0.875622, Time  0.236149
2021-09-22 02:10:45.289540 : Epoch  1, Batch   1626, Loss  0.867333, Average Loss  0.875635, Time  0.240012
2021-09-22 02:10:47.947399 : Epoch  1, Batch   1627, Loss  0.861309, Average Loss  0.875593, Time  0.236224
2021-09-22 02:10:50.600957 : Epoch  1, Batch   1628, Loss  0.868001, Average Loss  0.875509, Time  0.236345
2021-09-22 02:10:53.248162 : Epoch  1, Batch   1629, Loss  0.884438, Average Loss  0.875555, Time  0.236609
2021-09-22 02:10:55.900943 : Epoch  1, Batch   1630, Loss  0.883592, Average Loss  0.875560, Time  0.236375
2021-09-22 02:10:58.568153 : Epoch  1, Batch   1631, Loss  0.886345, Average Loss  0.875673, Time  0.236855
2021-09-22 02:11:01.220721 : Epoch  1, Batch   1632, Loss  0.869507, Average Loss  0.875691, Time  0.237274
2021-09-22 02:11:03.871234 : Epoch  1, Batch   1633, Loss  0.909544, Average Loss  0.875801, Time  0.236263
2021-09-22 02:11:06.522187 : Epoch  1, Batch   1634, Loss  0.882186, Average Loss  0.875833, Time  0.237382
2021-09-22 02:11:09.190249 : Epoch  1, Batch   1635, Loss  0.869145, Average Loss  0.875761, Time  0.237598
2021-09-22 02:11:11.847405 : Epoch  1, Batch   1636, Loss  0.875031, Average Loss  0.875783, Time  0.236612
2021-09-22 02:11:14.498874 : Epoch  1, Batch   1637, Loss  0.879547, Average Loss  0.875830, Time  0.236278
2021-09-22 02:11:17.146197 : Epoch  1, Batch   1638, Loss  0.879526, Average Loss  0.875871, Time  0.236122
2021-09-22 02:11:19.789431 : Epoch  1, Batch   1639, Loss  0.862082, Average Loss  0.875787, Time  0.235648
2021-09-22 02:11:22.416391 : Epoch  1, Batch   1640, Loss  0.878985, Average Loss  0.875814, Time  0.237214
2021-09-22 02:11:25.046047 : Epoch  1, Batch   1641, Loss  0.875238, Average Loss  0.875841, Time  0.236966
2021-09-22 02:11:27.729544 : Epoch  1, Batch   1642, Loss  0.863934, Average Loss  0.875810, Time  0.235574
2021-09-22 02:11:30.366534 : Epoch  1, Batch   1643, Loss  0.880015, Average Loss  0.875824, Time  0.235629
2021-09-22 02:11:32.997152 : Epoch  1, Batch   1644, Loss  0.882347, Average Loss  0.875796, Time  0.236593
2021-09-22 02:11:35.631743 : Epoch  1, Batch   1645, Loss  0.877775, Average Loss  0.875794, Time  0.235821
2021-09-22 02:11:38.271416 : Epoch  1, Batch   1646, Loss  0.865478, Average Loss  0.875756, Time  0.236609
2021-09-22 02:11:40.904023 : Epoch  1, Batch   1647, Loss  0.873853, Average Loss  0.875652, Time  0.235890
2021-09-22 02:11:43.545361 : Epoch  1, Batch   1648, Loss  0.892333, Average Loss  0.875787, Time  0.235634
2021-09-22 02:11:46.174989 : Epoch  1, Batch   1649, Loss  0.880532, Average Loss  0.875876, Time  0.235858
2021-09-22 02:11:48.802889 : Epoch  1, Batch   1650, Loss  0.885137, Average Loss  0.875808, Time  0.236359
2021-09-22 02:11:51.450413 : Epoch  1, Batch   1651, Loss  0.864695, Average Loss  0.875681, Time  0.236185
2021-09-22 02:11:54.095393 : Epoch  1, Batch   1652, Loss  0.880673, Average Loss  0.875736, Time  0.236434
2021-09-22 02:11:56.727385 : Epoch  1, Batch   1653, Loss  0.856602, Average Loss  0.875708, Time  0.235852
2021-09-22 02:11:59.391808 : Epoch  1, Batch   1654, Loss  0.890668, Average Loss  0.875799, Time  0.235713
2021-09-22 02:12:02.056914 : Epoch  1, Batch   1655, Loss  0.883809, Average Loss  0.875764, Time  0.237160
2021-09-22 02:12:04.706084 : Epoch  1, Batch   1656, Loss  0.877224, Average Loss  0.875849, Time  0.236415
2021-09-22 02:12:07.377870 : Epoch  1, Batch   1657, Loss  0.892609, Average Loss  0.875952, Time  0.236927
2021-09-22 02:12:10.072112 : Epoch  1, Batch   1658, Loss  0.858021, Average Loss  0.875883, Time  0.240425
2021-09-22 02:12:12.719407 : Epoch  1, Batch   1659, Loss  0.890694, Average Loss  0.875937, Time  0.239021
2021-09-22 02:12:15.385402 : Epoch  1, Batch   1660, Loss  0.886552, Average Loss  0.875890, Time  0.239893
2021-09-22 02:12:18.012034 : Epoch  1, Batch   1661, Loss  0.862260, Average Loss  0.875872, Time  0.236431
2021-09-22 02:12:20.641438 : Epoch  1, Batch   1662, Loss  0.897545, Average Loss  0.876056, Time  0.236804
2021-09-22 02:12:23.292436 : Epoch  1, Batch   1663, Loss  0.853038, Average Loss  0.875878, Time  0.236156
2021-09-22 02:12:25.970440 : Epoch  1, Batch   1664, Loss  0.871180, Average Loss  0.875736, Time  0.238222
2021-09-22 02:12:28.716217 : Epoch  1, Batch   1665, Loss  0.882861, Average Loss  0.875872, Time  0.247215
2021-09-22 02:12:31.382401 : Epoch  1, Batch   1666, Loss  0.859128, Average Loss  0.875717, Time  0.237152
2021-09-22 02:12:34.065945 : Epoch  1, Batch   1667, Loss  0.882767, Average Loss  0.875855, Time  0.236190
2021-09-22 02:12:36.744826 : Epoch  1, Batch   1668, Loss  0.849901, Average Loss  0.875732, Time  0.235750
2021-09-22 02:12:39.412404 : Epoch  1, Batch   1669, Loss  0.885679, Average Loss  0.875771, Time  0.236143
2021-09-22 02:12:42.068190 : Epoch  1, Batch   1670, Loss  0.901747, Average Loss  0.875876, Time  0.236108
2021-09-22 02:12:44.728049 : Epoch  1, Batch   1671, Loss  0.875050, Average Loss  0.875870, Time  0.235981
2021-09-22 02:12:47.369416 : Epoch  1, Batch   1672, Loss  0.869198, Average Loss  0.875896, Time  0.236475
2021-09-22 02:12:50.005564 : Epoch  1, Batch   1673, Loss  0.874825, Average Loss  0.875856, Time  0.235912
2021-09-22 02:12:52.654045 : Epoch  1, Batch   1674, Loss  0.882711, Average Loss  0.875868, Time  0.235926
2021-09-22 02:12:55.293420 : Epoch  1, Batch   1675, Loss  0.894611, Average Loss  0.876089, Time  0.235866
2021-09-22 02:12:57.973422 : Epoch  1, Batch   1676, Loss  0.880153, Average Loss  0.875970, Time  0.236294
2021-09-22 02:13:00.618573 : Epoch  1, Batch   1677, Loss  0.874639, Average Loss  0.875980, Time  0.236221
2021-09-22 02:13:03.282423 : Epoch  1, Batch   1678, Loss  0.863997, Average Loss  0.875936, Time  0.237771
2021-09-22 02:13:05.941903 : Epoch  1, Batch   1679, Loss  0.890303, Average Loss  0.876009, Time  0.236647
2021-09-22 02:13:08.589070 : Epoch  1, Batch   1680, Loss  0.886037, Average Loss  0.875969, Time  0.236661
2021-09-22 02:13:11.241911 : Epoch  1, Batch   1681, Loss  0.862594, Average Loss  0.875996, Time  0.236442
2021-09-22 02:13:13.891812 : Epoch  1, Batch   1682, Loss  0.846611, Average Loss  0.875763, Time  0.236665
2021-09-22 02:13:16.536412 : Epoch  1, Batch   1683, Loss  0.886241, Average Loss  0.875913, Time  0.235865
2021-09-22 02:13:19.216396 : Epoch  1, Batch   1684, Loss  0.855976, Average Loss  0.875904, Time  0.236493
2021-09-22 02:13:21.876400 : Epoch  1, Batch   1685, Loss  0.895999, Average Loss  0.876080, Time  0.236301
2021-09-22 02:13:24.500572 : Epoch  1, Batch   1686, Loss  0.868222, Average Loss  0.876073, Time  0.236197
2021-09-22 02:13:27.149884 : Epoch  1, Batch   1687, Loss  0.867386, Average Loss  0.875939, Time  0.236893
2021-09-22 02:13:29.824088 : Epoch  1, Batch   1688, Loss  0.881668, Average Loss  0.875932, Time  0.237995
2021-09-22 02:13:32.543425 : Epoch  1, Batch   1689, Loss  0.874909, Average Loss  0.875953, Time  0.239897
2021-09-22 02:13:35.222902 : Epoch  1, Batch   1690, Loss  0.897507, Average Loss  0.876136, Time  0.237446
2021-09-22 02:13:37.872824 : Epoch  1, Batch   1691, Loss  0.876942, Average Loss  0.876135, Time  0.237121
2021-09-22 02:13:40.512408 : Epoch  1, Batch   1692, Loss  0.885900, Average Loss  0.876152, Time  0.236560
2021-09-22 02:13:43.167800 : Epoch  1, Batch   1693, Loss  0.876090, Average Loss  0.876306, Time  0.236987
2021-09-22 02:13:45.820989 : Epoch  1, Batch   1694, Loss  0.880643, Average Loss  0.876272, Time  0.236512
2021-09-22 02:13:48.473964 : Epoch  1, Batch   1695, Loss  0.880317, Average Loss  0.876281, Time  0.236139
2021-09-22 02:13:51.127409 : Epoch  1, Batch   1696, Loss  0.848642, Average Loss  0.876088, Time  0.235566
2021-09-22 02:13:53.794198 : Epoch  1, Batch   1697, Loss  0.885864, Average Loss  0.876122, Time  0.237276
2021-09-22 02:13:56.435404 : Epoch  1, Batch   1698, Loss  0.878339, Average Loss  0.876131, Time  0.235941
2021-09-22 02:13:59.061793 : Epoch  1, Batch   1699, Loss  0.887833, Average Loss  0.876165, Time  0.236268
2021-09-22 02:14:01.691543 : Epoch  1, Batch   1700, Loss  0.887741, Average Loss  0.876244, Time  0.235490
2021-09-22 02:18:10.532746 : CheckPoint: Validation Loss  0.00030141, Best Loss  0.00029833
2021-09-22 02:18:13.184989 : Epoch  1, Batch   1701, Loss  0.884248, Average Loss  0.876256, Time  0.238022
2021-09-22 02:18:15.829350 : Epoch  1, Batch   1702, Loss  0.881716, Average Loss  0.876209, Time  0.236152
2021-09-22 02:18:18.486037 : Epoch  1, Batch   1703, Loss  0.873935, Average Loss  0.876150, Time  0.235700
2021-09-22 02:18:21.122995 : Epoch  1, Batch   1704, Loss  0.890800, Average Loss  0.876324, Time  0.236593
2021-09-22 02:18:23.772266 : Epoch  1, Batch   1705, Loss  0.867486, Average Loss  0.876283, Time  0.235460
2021-09-22 02:18:26.415404 : Epoch  1, Batch   1706, Loss  0.881114, Average Loss  0.876377, Time  0.235799
2021-09-22 02:18:29.109418 : Epoch  1, Batch   1707, Loss  0.859581, Average Loss  0.876300, Time  0.251640
2021-09-22 02:18:31.767412 : Epoch  1, Batch   1708, Loss  0.877029, Average Loss  0.876363, Time  0.236462
2021-09-22 02:18:34.406932 : Epoch  1, Batch   1709, Loss  0.879898, Average Loss  0.876343, Time  0.239436
2021-09-22 02:18:37.057301 : Epoch  1, Batch   1710, Loss  0.892162, Average Loss  0.876300, Time  0.237015
2021-09-22 02:18:39.705087 : Epoch  1, Batch   1711, Loss  0.874480, Average Loss  0.876313, Time  0.237192
2021-09-22 02:18:42.356397 : Epoch  1, Batch   1712, Loss  0.859800, Average Loss  0.876213, Time  0.236005
2021-09-22 02:18:45.016921 : Epoch  1, Batch   1713, Loss  0.869133, Average Loss  0.876214, Time  0.236850
2021-09-22 02:18:47.675381 : Epoch  1, Batch   1714, Loss  0.880235, Average Loss  0.876210, Time  0.236780
2021-09-22 02:18:50.340443 : Epoch  1, Batch   1715, Loss  0.849770, Average Loss  0.876091, Time  0.237477
2021-09-22 02:18:52.995157 : Epoch  1, Batch   1716, Loss  0.860247, Average Loss  0.875951, Time  0.236139
2021-09-22 02:18:55.655962 : Epoch  1, Batch   1717, Loss  0.889450, Average Loss  0.876044, Time  0.237760
2021-09-22 02:18:58.313436 : Epoch  1, Batch   1718, Loss  0.864850, Average Loss  0.875918, Time  0.236254
2021-09-22 02:19:00.975094 : Epoch  1, Batch   1719, Loss  0.882140, Average Loss  0.875927, Time  0.237141
2021-09-22 02:19:03.640810 : Epoch  1, Batch   1720, Loss  0.872833, Average Loss  0.875948, Time  0.237484
2021-09-22 02:19:06.298600 : Epoch  1, Batch   1721, Loss  0.890339, Average Loss  0.876047, Time  0.236749
2021-09-22 02:19:08.947441 : Epoch  1, Batch   1722, Loss  0.879890, Average Loss  0.876091, Time  0.236036
2021-09-22 02:19:11.595394 : Epoch  1, Batch   1723, Loss  0.888524, Average Loss  0.876258, Time  0.239021
2021-09-22 02:19:14.239974 : Epoch  1, Batch   1724, Loss  0.864416, Average Loss  0.876138, Time  0.235963
2021-09-22 02:19:16.912853 : Epoch  1, Batch   1725, Loss  0.884174, Average Loss  0.876018, Time  0.243225
2021-09-22 02:19:19.557922 : Epoch  1, Batch   1726, Loss  0.888793, Average Loss  0.876145, Time  0.236009
2021-09-22 02:19:22.236828 : Epoch  1, Batch   1727, Loss  0.890192, Average Loss  0.876238, Time  0.238247
2021-09-22 02:19:24.907908 : Epoch  1, Batch   1728, Loss  0.895409, Average Loss  0.876359, Time  0.237487
2021-09-22 02:19:27.559970 : Epoch  1, Batch   1729, Loss  0.873217, Average Loss  0.876344, Time  0.236670
2021-09-22 02:19:30.214816 : Epoch  1, Batch   1730, Loss  0.878366, Average Loss  0.876380, Time  0.237123
2021-09-22 02:19:32.871407 : Epoch  1, Batch   1731, Loss  0.894563, Average Loss  0.876502, Time  0.236548
2021-09-22 02:19:35.532833 : Epoch  1, Batch   1732, Loss  0.861263, Average Loss  0.876478, Time  0.235824
2021-09-22 02:19:38.170078 : Epoch  1, Batch   1733, Loss  0.853257, Average Loss  0.876336, Time  0.236211
2021-09-22 02:19:40.846429 : Epoch  1, Batch   1734, Loss  0.881792, Average Loss  0.876335, Time  0.245216
2021-09-22 02:19:43.490400 : Epoch  1, Batch   1735, Loss  0.887079, Average Loss  0.876422, Time  0.235947
2021-09-22 02:19:46.143848 : Epoch  1, Batch   1736, Loss  0.880490, Average Loss  0.876529, Time  0.236600
2021-09-22 02:19:48.798082 : Epoch  1, Batch   1737, Loss  0.886637, Average Loss  0.876742, Time  0.237141
2021-09-22 02:19:51.435370 : Epoch  1, Batch   1738, Loss  0.882075, Average Loss  0.876783, Time  0.236591
2021-09-22 02:19:54.077431 : Epoch  1, Batch   1739, Loss  0.867239, Average Loss  0.876777, Time  0.236277
2021-09-22 02:19:56.716211 : Epoch  1, Batch   1740, Loss  0.861463, Average Loss  0.876681, Time  0.236554
2021-09-22 02:19:59.370191 : Epoch  1, Batch   1741, Loss  0.872995, Average Loss  0.876762, Time  0.237285
2021-09-22 02:20:02.025203 : Epoch  1, Batch   1742, Loss  0.879340, Average Loss  0.876813, Time  0.237059
2021-09-22 02:20:04.686889 : Epoch  1, Batch   1743, Loss  0.851192, Average Loss  0.876634, Time  0.237420
2021-09-22 02:20:07.344562 : Epoch  1, Batch   1744, Loss  0.887749, Average Loss  0.876592, Time  0.235963
2021-09-22 02:20:09.999243 : Epoch  1, Batch   1745, Loss  0.883869, Average Loss  0.876730, Time  0.237025
2021-09-22 02:20:12.657394 : Epoch  1, Batch   1746, Loss  0.883068, Average Loss  0.876734, Time  0.236104
2021-09-22 02:20:15.310380 : Epoch  1, Batch   1747, Loss  0.877392, Average Loss  0.876711, Time  0.236227
2021-09-22 02:20:17.975413 : Epoch  1, Batch   1748, Loss  0.871371, Average Loss  0.876760, Time  0.236606
2021-09-22 02:20:20.631981 : Epoch  1, Batch   1749, Loss  0.873889, Average Loss  0.876724, Time  0.237053
2021-09-22 02:20:23.288442 : Epoch  1, Batch   1750, Loss  0.868311, Average Loss  0.876720, Time  0.236054
2021-09-22 02:20:25.944382 : Epoch  1, Batch   1751, Loss  0.873300, Average Loss  0.876646, Time  0.236446
2021-09-22 02:20:28.599262 : Epoch  1, Batch   1752, Loss  0.867679, Average Loss  0.876546, Time  0.236294
2021-09-22 02:20:31.247650 : Epoch  1, Batch   1753, Loss  0.870154, Average Loss  0.876561, Time  0.236118
2021-09-22 02:20:33.904730 : Epoch  1, Batch   1754, Loss  0.877906, Average Loss  0.876524, Time  0.236735
2021-09-22 02:20:36.555110 : Epoch  1, Batch   1755, Loss  0.859110, Average Loss  0.876394, Time  0.236498
2021-09-22 02:20:39.236921 : Epoch  1, Batch   1756, Loss  0.871298, Average Loss  0.876410, Time  0.236238
2021-09-22 02:20:41.892555 : Epoch  1, Batch   1757, Loss  0.852350, Average Loss  0.876214, Time  0.236151
2021-09-22 02:20:44.535185 : Epoch  1, Batch   1758, Loss  0.870429, Average Loss  0.876233, Time  0.236904
2021-09-22 02:20:47.221864 : Epoch  1, Batch   1759, Loss  0.891512, Average Loss  0.876243, Time  0.236738
2021-09-22 02:20:49.889950 : Epoch  1, Batch   1760, Loss  0.849993, Average Loss  0.876077, Time  0.237407
2021-09-22 02:20:52.592624 : Epoch  1, Batch   1761, Loss  0.884632, Average Loss  0.876121, Time  0.238263
2021-09-22 02:20:55.239318 : Epoch  1, Batch   1762, Loss  0.878190, Average Loss  0.876102, Time  0.236284
2021-09-22 02:20:57.892423 : Epoch  1, Batch   1763, Loss  0.861921, Average Loss  0.875975, Time  0.237216
2021-09-22 02:21:00.557910 : Epoch  1, Batch   1764, Loss  0.866784, Average Loss  0.875919, Time  0.236023
2021-09-22 02:21:03.204927 : Epoch  1, Batch   1765, Loss  0.877878, Average Loss  0.875949, Time  0.236309
2021-09-22 02:21:05.858826 : Epoch  1, Batch   1766, Loss  0.863751, Average Loss  0.875843, Time  0.237384
2021-09-22 02:21:08.511831 : Epoch  1, Batch   1767, Loss  0.864443, Average Loss  0.875777, Time  0.237412
2021-09-22 02:21:11.168782 : Epoch  1, Batch   1768, Loss  0.884411, Average Loss  0.875876, Time  0.236490
2021-09-22 02:21:13.842428 : Epoch  1, Batch   1769, Loss  0.886553, Average Loss  0.875877, Time  0.237172
2021-09-22 02:21:16.498894 : Epoch  1, Batch   1770, Loss  0.875571, Average Loss  0.875877, Time  0.236182
2021-09-22 02:21:19.152255 : Epoch  1, Batch   1771, Loss  0.864666, Average Loss  0.875788, Time  0.236522
2021-09-22 02:21:21.795429 : Epoch  1, Batch   1772, Loss  0.866404, Average Loss  0.875805, Time  0.236948
2021-09-22 02:21:24.453395 : Epoch  1, Batch   1773, Loss  0.882981, Average Loss  0.875842, Time  0.235776
2021-09-22 02:21:27.101382 : Epoch  1, Batch   1774, Loss  0.874523, Average Loss  0.875817, Time  0.236555
2021-09-22 02:21:29.751761 : Epoch  1, Batch   1775, Loss  0.873271, Average Loss  0.875793, Time  0.237743
2021-09-22 02:21:32.396410 : Epoch  1, Batch   1776, Loss  0.877442, Average Loss  0.875765, Time  0.238158
2021-09-22 02:21:35.044995 : Epoch  1, Batch   1777, Loss  0.868204, Average Loss  0.875774, Time  0.237478
2021-09-22 02:21:37.701237 : Epoch  1, Batch   1778, Loss  0.854881, Average Loss  0.875768, Time  0.236082
2021-09-22 02:21:40.344852 : Epoch  1, Batch   1779, Loss  0.876495, Average Loss  0.875722, Time  0.236729
2021-09-22 02:21:42.989403 : Epoch  1, Batch   1780, Loss  0.866606, Average Loss  0.875741, Time  0.235719
2021-09-22 02:21:45.652400 : Epoch  1, Batch   1781, Loss  0.850222, Average Loss  0.875587, Time  0.235900
2021-09-22 02:21:48.300695 : Epoch  1, Batch   1782, Loss  0.880060, Average Loss  0.875688, Time  0.236320
2021-09-22 02:21:50.969157 : Epoch  1, Batch   1783, Loss  0.876148, Average Loss  0.875673, Time  0.240088
2021-09-22 02:21:53.645558 : Epoch  1, Batch   1784, Loss  0.876806, Average Loss  0.875652, Time  0.238721
2021-09-22 02:21:56.332435 : Epoch  1, Batch   1785, Loss  0.881762, Average Loss  0.875679, Time  0.240136
2021-09-22 02:21:59.002977 : Epoch  1, Batch   1786, Loss  0.863629, Average Loss  0.875680, Time  0.238287
2021-09-22 02:22:01.663085 : Epoch  1, Batch   1787, Loss  0.889371, Average Loss  0.875716, Time  0.236979
2021-09-22 02:22:04.331850 : Epoch  1, Batch   1788, Loss  0.881065, Average Loss  0.875680, Time  0.236802
2021-09-22 02:22:07.006887 : Epoch  1, Batch   1789, Loss  0.889916, Average Loss  0.875644, Time  0.237642
2021-09-22 02:22:09.679470 : Epoch  1, Batch   1790, Loss  0.867546, Average Loss  0.875592, Time  0.236367
2021-09-22 02:22:12.347856 : Epoch  1, Batch   1791, Loss  0.896037, Average Loss  0.875704, Time  0.236496
2021-09-22 02:22:14.990607 : Epoch  1, Batch   1792, Loss  0.883983, Average Loss  0.875803, Time  0.236377
2021-09-22 02:22:17.647422 : Epoch  1, Batch   1793, Loss  0.901929, Average Loss  0.875827, Time  0.236345
2021-09-22 02:22:20.306417 : Epoch  1, Batch   1794, Loss  0.891274, Average Loss  0.876048, Time  0.236643
2021-09-22 02:22:22.952965 : Epoch  1, Batch   1795, Loss  0.885892, Average Loss  0.876187, Time  0.236887
2021-09-22 02:22:25.613407 : Epoch  1, Batch   1796, Loss  0.855428, Average Loss  0.876168, Time  0.240125
2021-09-22 02:22:28.265090 : Epoch  1, Batch   1797, Loss  0.878706, Average Loss  0.876226, Time  0.236333
2021-09-22 02:22:30.911417 : Epoch  1, Batch   1798, Loss  0.864996, Average Loss  0.876287, Time  0.235654
2021-09-22 02:22:33.565873 : Epoch  1, Batch   1799, Loss  0.862310, Average Loss  0.876262, Time  0.236884
2021-09-22 02:22:36.232847 : Epoch  1, Batch   1800, Loss  0.865492, Average Loss  0.876025, Time  0.236293
2021-09-22 02:26:45.990747 : CheckPoint: Validation Loss  0.00030281, Best Loss  0.00029833
2021-09-22 02:26:48.651019 : Epoch  1, Batch   1801, Loss  0.888692, Average Loss  0.875976, Time  0.239037
2021-09-22 02:26:51.308798 : Epoch  1, Batch   1802, Loss  0.869573, Average Loss  0.875945, Time  0.236167
2021-09-22 02:26:53.946945 : Epoch  1, Batch   1803, Loss  0.854203, Average Loss  0.875815, Time  0.235744
2021-09-22 02:26:56.620847 : Epoch  1, Batch   1804, Loss  0.881904, Average Loss  0.875827, Time  0.237246
2021-09-22 02:26:59.275579 : Epoch  1, Batch   1805, Loss  0.880248, Average Loss  0.875764, Time  0.236389
2021-09-22 02:27:01.966916 : Epoch  1, Batch   1806, Loss  0.845855, Average Loss  0.875634, Time  0.237027
2021-09-22 02:27:04.614890 : Epoch  1, Batch   1807, Loss  0.883794, Average Loss  0.875656, Time  0.236854
2021-09-22 02:27:07.247050 : Epoch  1, Batch   1808, Loss  0.881618, Average Loss  0.875607, Time  0.235886
2021-09-22 02:27:09.927007 : Epoch  1, Batch   1809, Loss  0.900639, Average Loss  0.875701, Time  0.237654
2021-09-22 02:27:12.598885 : Epoch  1, Batch   1810, Loss  0.895963, Average Loss  0.875802, Time  0.236830
2021-09-22 02:27:15.265428 : Epoch  1, Batch   1811, Loss  0.877878, Average Loss  0.875870, Time  0.236784
2021-09-22 02:27:17.928112 : Epoch  1, Batch   1812, Loss  0.862539, Average Loss  0.875887, Time  0.236059
2021-09-22 02:27:20.594391 : Epoch  1, Batch   1813, Loss  0.872189, Average Loss  0.875919, Time  0.236574
2021-09-22 02:27:23.305434 : Epoch  1, Batch   1814, Loss  0.877317, Average Loss  0.876047, Time  0.237679
2021-09-22 02:27:25.977441 : Epoch  1, Batch   1815, Loss  0.872722, Average Loss  0.876023, Time  0.237559
2021-09-22 02:27:28.629433 : Epoch  1, Batch   1816, Loss  0.882428, Average Loss  0.875981, Time  0.236112
2021-09-22 02:27:31.290753 : Epoch  1, Batch   1817, Loss  0.851381, Average Loss  0.875848, Time  0.237342
2021-09-22 02:27:33.966196 : Epoch  1, Batch   1818, Loss  0.864726, Average Loss  0.875803, Time  0.239044
2021-09-22 02:27:36.641925 : Epoch  1, Batch   1819, Loss  0.880172, Average Loss  0.875834, Time  0.236802
2021-09-22 02:27:39.309098 : Epoch  1, Batch   1820, Loss  0.877003, Average Loss  0.875824, Time  0.237274
2021-09-22 02:27:41.975932 : Epoch  1, Batch   1821, Loss  0.892528, Average Loss  0.875853, Time  0.237239
2021-09-22 02:27:44.682153 : Epoch  1, Batch   1822, Loss  0.857098, Average Loss  0.875824, Time  0.236365
2021-09-22 02:27:47.340946 : Epoch  1, Batch   1823, Loss  0.881081, Average Loss  0.875817, Time  0.236659
2021-09-22 02:27:49.993031 : Epoch  1, Batch   1824, Loss  0.887021, Average Loss  0.875920, Time  0.237025
2021-09-22 02:27:52.654591 : Epoch  1, Batch   1825, Loss  0.855851, Average Loss  0.875787, Time  0.236878
2021-09-22 02:27:55.316413 : Epoch  1, Batch   1826, Loss  0.883208, Average Loss  0.875866, Time  0.235835
2021-09-22 02:27:57.973109 : Epoch  1, Batch   1827, Loss  0.883121, Average Loss  0.875975, Time  0.236977
2021-09-22 02:28:00.626689 : Epoch  1, Batch   1828, Loss  0.868199, Average Loss  0.875976, Time  0.235495
2021-09-22 02:28:03.284427 : Epoch  1, Batch   1829, Loss  0.873529, Average Loss  0.875922, Time  0.236412
2021-09-22 02:28:05.955400 : Epoch  1, Batch   1830, Loss  0.867992, Average Loss  0.875844, Time  0.236456
2021-09-22 02:28:08.612913 : Epoch  1, Batch   1831, Loss  0.888510, Average Loss  0.875855, Time  0.236544
2021-09-22 02:28:11.286886 : Epoch  1, Batch   1832, Loss  0.874350, Average Loss  0.875879, Time  0.237089
2021-09-22 02:28:13.966871 : Epoch  1, Batch   1833, Loss  0.862790, Average Loss  0.875645, Time  0.237932
2021-09-22 02:28:16.619873 : Epoch  1, Batch   1834, Loss  0.863592, Average Loss  0.875552, Time  0.236244
2021-09-22 02:28:19.279040 : Epoch  1, Batch   1835, Loss  0.854104, Average Loss  0.875477, Time  0.236426
2021-09-22 02:28:21.924972 : Epoch  1, Batch   1836, Loss  0.859443, Average Loss  0.875399, Time  0.236955
2021-09-22 02:28:24.583408 : Epoch  1, Batch   1837, Loss  0.874157, Average Loss  0.875372, Time  0.236084
2021-09-22 02:28:27.254083 : Epoch  1, Batch   1838, Loss  0.862051, Average Loss  0.875285, Time  0.251491
2021-09-22 02:28:29.913361 : Epoch  1, Batch   1839, Loss  0.896451, Average Loss  0.875457, Time  0.239025
2021-09-22 02:28:32.579643 : Epoch  1, Batch   1840, Loss  0.875806, Average Loss  0.875441, Time  0.237727
2021-09-22 02:28:35.268883 : Epoch  1, Batch   1841, Loss  0.878677, Average Loss  0.875458, Time  0.237622
2021-09-22 02:28:37.929501 : Epoch  1, Batch   1842, Loss  0.857396, Average Loss  0.875425, Time  0.237220
2021-09-22 02:28:40.597435 : Epoch  1, Batch   1843, Loss  0.862085, Average Loss  0.875336, Time  0.237000
2021-09-22 02:28:43.273435 : Epoch  1, Batch   1844, Loss  0.871722, Average Loss  0.875282, Time  0.236774
2021-09-22 02:28:45.935446 : Epoch  1, Batch   1845, Loss  0.852047, Average Loss  0.875154, Time  0.236994
2021-09-22 02:28:48.608848 : Epoch  1, Batch   1846, Loss  0.859842, Average Loss  0.875126, Time  0.236919
2021-09-22 02:28:51.260861 : Epoch  1, Batch   1847, Loss  0.866790, Average Loss  0.875090, Time  0.236433
2021-09-22 02:28:53.911992 : Epoch  1, Batch   1848, Loss  0.886067, Average Loss  0.875059, Time  0.239889
2021-09-22 02:28:56.573014 : Epoch  1, Batch   1849, Loss  0.852755, Average Loss  0.874920, Time  0.243709
2021-09-22 02:28:59.232429 : Epoch  1, Batch   1850, Loss  0.864597, Average Loss  0.874817, Time  0.236160
2021-09-22 02:29:01.887614 : Epoch  1, Batch   1851, Loss  0.902556, Average Loss  0.875007, Time  0.236049
2021-09-22 02:29:04.542399 : Epoch  1, Batch   1852, Loss  0.898471, Average Loss  0.875096, Time  0.236459
2021-09-22 02:29:07.211440 : Epoch  1, Batch   1853, Loss  0.872813, Average Loss  0.875177, Time  0.235810
2021-09-22 02:29:09.896000 : Epoch  1, Batch   1854, Loss  0.877292, Average Loss  0.875110, Time  0.236306
2021-09-22 02:29:12.551053 : Epoch  1, Batch   1855, Loss  0.864579, Average Loss  0.875014, Time  0.236012
2021-09-22 02:29:15.213387 : Epoch  1, Batch   1856, Loss  0.889378, Average Loss  0.875074, Time  0.235991
2021-09-22 02:29:15.246588 : Saving Model after 1-th Epoch.
2021-09-22 02:29:15.952619 : Epoch Finished.
2021-09-22 02:29:25.087591 : Batch Shuffled
2021-09-22 02:29:27.783413 : Epoch  2, Batch      1, Loss  0.894577, Average Loss  0.875084, Time  0.267620
2021-09-22 02:29:30.437822 : Epoch  2, Batch      2, Loss  0.856436, Average Loss  0.875076, Time  0.236665
2021-09-22 02:29:33.116685 : Epoch  2, Batch      3, Loss  0.844320, Average Loss  0.874845, Time  0.237562
2021-09-22 02:29:35.774019 : Epoch  2, Batch      4, Loss  0.865109, Average Loss  0.874737, Time  0.236822
2021-09-22 02:29:38.450436 : Epoch  2, Batch      5, Loss  0.887909, Average Loss  0.874866, Time  0.237695
2021-09-22 02:29:41.109280 : Epoch  2, Batch      6, Loss  0.883428, Average Loss  0.874795, Time  0.237183
2021-09-22 02:29:43.771422 : Epoch  2, Batch      7, Loss  0.868100, Average Loss  0.874870, Time  0.236794
2021-09-22 02:29:46.419981 : Epoch  2, Batch      8, Loss  0.874107, Average Loss  0.874885, Time  0.237037
2021-09-22 02:29:49.079870 : Epoch  2, Batch      9, Loss  0.859534, Average Loss  0.874768, Time  0.238192
2021-09-22 02:29:51.743630 : Epoch  2, Batch     10, Loss  0.835002, Average Loss  0.874648, Time  0.236264
2021-09-22 02:29:54.388583 : Epoch  2, Batch     11, Loss  0.879617, Average Loss  0.874632, Time  0.236290
2021-09-22 02:29:57.069415 : Epoch  2, Batch     12, Loss  0.875076, Average Loss  0.874758, Time  0.237378
2021-09-22 02:29:59.709410 : Epoch  2, Batch     13, Loss  0.880503, Average Loss  0.874732, Time  0.236207
2021-09-22 02:30:02.359415 : Epoch  2, Batch     14, Loss  0.858167, Average Loss  0.874514, Time  0.236275
2021-09-22 02:30:05.001201 : Epoch  2, Batch     15, Loss  0.869543, Average Loss  0.874486, Time  0.235706
2021-09-22 02:30:07.621196 : Epoch  2, Batch     16, Loss  0.882242, Average Loss  0.874552, Time  0.235845
2021-09-22 02:30:10.266388 : Epoch  2, Batch     17, Loss  0.876131, Average Loss  0.874558, Time  0.239102
2021-09-22 02:30:12.905079 : Epoch  2, Batch     18, Loss  0.869039, Average Loss  0.874490, Time  0.236593
2021-09-22 02:30:15.549391 : Epoch  2, Batch     19, Loss  0.883826, Average Loss  0.874436, Time  0.235672
2021-09-22 02:30:18.191446 : Epoch  2, Batch     20, Loss  0.885390, Average Loss  0.874462, Time  0.236624
2021-09-22 02:30:20.886918 : Epoch  2, Batch     21, Loss  0.891552, Average Loss  0.874547, Time  0.244150
2021-09-22 02:30:23.541047 : Epoch  2, Batch     22, Loss  0.861174, Average Loss  0.874533, Time  0.238965
2021-09-22 02:30:26.213424 : Epoch  2, Batch     23, Loss  0.879715, Average Loss  0.874480, Time  0.236027
2021-09-22 02:30:28.886382 : Epoch  2, Batch     24, Loss  0.863771, Average Loss  0.874368, Time  0.235521
2021-09-22 02:30:31.512059 : Epoch  2, Batch     25, Loss  0.882874, Average Loss  0.874470, Time  0.236604
2021-09-22 02:30:34.159416 : Epoch  2, Batch     26, Loss  0.882860, Average Loss  0.874651, Time  0.235610
2021-09-22 02:30:36.814851 : Epoch  2, Batch     27, Loss  0.850757, Average Loss  0.874474, Time  0.237607
2021-09-22 02:30:39.467696 : Epoch  2, Batch     28, Loss  0.855700, Average Loss  0.874472, Time  0.235934
2021-09-22 02:30:42.120436 : Epoch  2, Batch     29, Loss  0.890332, Average Loss  0.874444, Time  0.236504
2021-09-22 02:30:44.773846 : Epoch  2, Batch     30, Loss  0.868401, Average Loss  0.874445, Time  0.237609
2021-09-22 02:30:47.444404 : Epoch  2, Batch     31, Loss  0.876157, Average Loss  0.874489, Time  0.236867
2021-09-22 02:30:50.099953 : Epoch  2, Batch     32, Loss  0.880639, Average Loss  0.874483, Time  0.236789
2021-09-22 02:30:52.754876 : Epoch  2, Batch     33, Loss  0.858047, Average Loss  0.874399, Time  0.237747
2021-09-22 02:30:55.395601 : Epoch  2, Batch     34, Loss  0.855011, Average Loss  0.874187, Time  0.236425
2021-09-22 02:30:58.054585 : Epoch  2, Batch     35, Loss  0.866302, Average Loss  0.874133, Time  0.236778
2021-09-22 02:31:00.745088 : Epoch  2, Batch     36, Loss  0.847707, Average Loss  0.873942, Time  0.237141
2021-09-22 02:31:03.402407 : Epoch  2, Batch     37, Loss  0.868764, Average Loss  0.873906, Time  0.236291
2021-09-22 02:31:06.059403 : Epoch  2, Batch     38, Loss  0.864015, Average Loss  0.873823, Time  0.236386
2021-09-22 02:31:08.716350 : Epoch  2, Batch     39, Loss  0.872370, Average Loss  0.873783, Time  0.236489
2021-09-22 02:31:11.376404 : Epoch  2, Batch     40, Loss  0.884255, Average Loss  0.873961, Time  0.236783
2021-09-22 02:31:14.037380 : Epoch  2, Batch     41, Loss  0.871354, Average Loss  0.873888, Time  0.236721
2021-09-22 02:31:16.688415 : Epoch  2, Batch     42, Loss  0.850034, Average Loss  0.873747, Time  0.236249
2021-09-22 02:31:19.346974 : Epoch  2, Batch     43, Loss  0.864840, Average Loss  0.873632, Time  0.236709
2021-09-22 02:31:21.996488 : Epoch  2, Batch     44, Loss  0.866783, Average Loss  0.873527, Time  0.236504
2021-09-22 02:35:32.330756 : CheckPoint: Validation Loss  0.00030327, Best Loss  0.00029833
2021-09-22 02:35:34.989012 : Epoch  2, Batch     45, Loss  0.862722, Average Loss  0.873420, Time  0.237760
2021-09-22 02:35:37.638579 : Epoch  2, Batch     46, Loss  0.855660, Average Loss  0.873289, Time  0.236153
2021-09-22 02:35:40.357442 : Epoch  2, Batch     47, Loss  0.894581, Average Loss  0.873393, Time  0.236561
2021-09-22 02:35:43.021980 : Epoch  2, Batch     48, Loss  0.868864, Average Loss  0.873283, Time  0.236707
2021-09-22 02:35:45.694823 : Epoch  2, Batch     49, Loss  0.849710, Average Loss  0.873194, Time  0.236628
2021-09-22 02:35:48.355052 : Epoch  2, Batch     50, Loss  0.894811, Average Loss  0.873262, Time  0.236572
2021-09-22 02:35:51.009967 : Epoch  2, Batch     51, Loss  0.879460, Average Loss  0.873362, Time  0.236152
2021-09-22 02:35:53.656411 : Epoch  2, Batch     52, Loss  0.866550, Average Loss  0.873309, Time  0.235319
2021-09-22 02:35:56.307403 : Epoch  2, Batch     53, Loss  0.863608, Average Loss  0.873228, Time  0.236641
2021-09-22 02:35:58.971770 : Epoch  2, Batch     54, Loss  0.854244, Average Loss  0.873038, Time  0.236542
2021-09-22 02:36:01.623850 : Epoch  2, Batch     55, Loss  0.863586, Average Loss  0.872984, Time  0.237029
2021-09-22 02:36:04.283418 : Epoch  2, Batch     56, Loss  0.882866, Average Loss  0.873099, Time  0.235587
2021-09-22 02:36:06.952411 : Epoch  2, Batch     57, Loss  0.860929, Average Loss  0.873058, Time  0.236770
2021-09-22 02:36:09.617423 : Epoch  2, Batch     58, Loss  0.878255, Average Loss  0.873048, Time  0.235823
2021-09-22 02:36:12.307349 : Epoch  2, Batch     59, Loss  0.877792, Average Loss  0.873188, Time  0.236414
2021-09-22 02:36:14.963402 : Epoch  2, Batch     60, Loss  0.846664, Average Loss  0.873121, Time  0.236976
2021-09-22 02:36:17.619318 : Epoch  2, Batch     61, Loss  0.858911, Average Loss  0.872968, Time  0.237565
2021-09-22 02:36:20.295976 : Epoch  2, Batch     62, Loss  0.891774, Average Loss  0.873102, Time  0.235785
2021-09-22 02:36:22.959345 : Epoch  2, Batch     63, Loss  0.878544, Average Loss  0.873084, Time  0.237899
2021-09-22 02:36:25.637023 : Epoch  2, Batch     64, Loss  0.888095, Average Loss  0.873161, Time  0.236978
2021-09-22 02:36:28.292876 : Epoch  2, Batch     65, Loss  0.853071, Average Loss  0.872974, Time  0.236930
2021-09-22 02:36:30.954641 : Epoch  2, Batch     66, Loss  0.862449, Average Loss  0.872887, Time  0.235962
2021-09-22 02:36:33.608073 : Epoch  2, Batch     67, Loss  0.863655, Average Loss  0.872763, Time  0.237358
2021-09-22 02:36:36.276447 : Epoch  2, Batch     68, Loss  0.890031, Average Loss  0.872891, Time  0.236378
2021-09-22 02:36:38.929856 : Epoch  2, Batch     69, Loss  0.887894, Average Loss  0.872910, Time  0.236315
2021-09-22 02:36:41.601412 : Epoch  2, Batch     70, Loss  0.872764, Average Loss  0.872829, Time  0.236518
2021-09-22 02:36:44.257075 : Epoch  2, Batch     71, Loss  0.862864, Average Loss  0.872693, Time  0.236347
2021-09-22 02:36:46.917389 : Epoch  2, Batch     72, Loss  0.897834, Average Loss  0.872705, Time  0.236767
2021-09-22 02:36:49.580857 : Epoch  2, Batch     73, Loss  0.877418, Average Loss  0.872726, Time  0.236695
2021-09-22 02:36:52.266174 : Epoch  2, Batch     74, Loss  0.843405, Average Loss  0.872551, Time  0.235835
2021-09-22 02:36:54.946019 : Epoch  2, Batch     75, Loss  0.886011, Average Loss  0.872508, Time  0.237236
2021-09-22 02:36:57.617435 : Epoch  2, Batch     76, Loss  0.868718, Average Loss  0.872546, Time  0.236302
2021-09-22 02:37:00.281386 : Epoch  2, Batch     77, Loss  0.849546, Average Loss  0.872527, Time  0.236487
2021-09-22 02:37:02.932974 : Epoch  2, Batch     78, Loss  0.860391, Average Loss  0.872420, Time  0.235889
2021-09-22 02:37:05.610974 : Epoch  2, Batch     79, Loss  0.851972, Average Loss  0.872245, Time  0.236842
2021-09-22 02:37:08.265887 : Epoch  2, Batch     80, Loss  0.857652, Average Loss  0.872130, Time  0.236511
2021-09-22 02:37:10.951911 : Epoch  2, Batch     81, Loss  0.863015, Average Loss  0.872012, Time  0.237331
2021-09-22 02:37:13.607084 : Epoch  2, Batch     82, Loss  0.890845, Average Loss  0.872056, Time  0.236497
2021-09-22 02:37:16.268888 : Epoch  2, Batch     83, Loss  0.878179, Average Loss  0.872111, Time  0.237843
2021-09-22 02:37:18.928920 : Epoch  2, Batch     84, Loss  0.900294, Average Loss  0.872305, Time  0.235898
2021-09-22 02:37:21.611474 : Epoch  2, Batch     85, Loss  0.884184, Average Loss  0.872361, Time  0.236814
2021-09-22 02:37:24.318946 : Epoch  2, Batch     86, Loss  0.874621, Average Loss  0.872337, Time  0.236896
2021-09-22 02:37:26.998938 : Epoch  2, Batch     87, Loss  0.870336, Average Loss  0.872433, Time  0.237131
2021-09-22 02:37:29.678104 : Epoch  2, Batch     88, Loss  0.882887, Average Loss  0.872409, Time  0.237569
2021-09-22 02:37:32.347629 : Epoch  2, Batch     89, Loss  0.884762, Average Loss  0.872413, Time  0.236275
2021-09-22 02:37:35.061636 : Epoch  2, Batch     90, Loss  0.877103, Average Loss  0.872383, Time  0.236769
2021-09-22 02:37:37.734406 : Epoch  2, Batch     91, Loss  0.871338, Average Loss  0.872353, Time  0.236154
2021-09-22 02:37:40.395653 : Epoch  2, Batch     92, Loss  0.850729, Average Loss  0.872250, Time  0.236828
2021-09-22 02:37:43.065624 : Epoch  2, Batch     93, Loss  0.867446, Average Loss  0.872218, Time  0.237373
2021-09-22 02:37:45.722459 : Epoch  2, Batch     94, Loss  0.859300, Average Loss  0.872173, Time  0.236860
2021-09-22 02:37:48.376398 : Epoch  2, Batch     95, Loss  0.865744, Average Loss  0.872135, Time  0.237285
2021-09-22 02:37:51.032906 : Epoch  2, Batch     96, Loss  0.885976, Average Loss  0.872226, Time  0.236108
2021-09-22 02:37:53.673861 : Epoch  2, Batch     97, Loss  0.871831, Average Loss  0.872235, Time  0.236925
2021-09-22 02:37:56.322124 : Epoch  2, Batch     98, Loss  0.856674, Average Loss  0.872129, Time  0.236448
2021-09-22 02:37:58.979402 : Epoch  2, Batch     99, Loss  0.869052, Average Loss  0.872178, Time  0.236211
2021-09-22 02:38:01.646137 : Epoch  2, Batch    100, Loss  0.885839, Average Loss  0.872251, Time  0.236318
2021-09-22 02:38:04.312399 : Epoch  2, Batch    101, Loss  0.870208, Average Loss  0.872340, Time  0.235960
2021-09-22 02:38:07.001412 : Epoch  2, Batch    102, Loss  0.871403, Average Loss  0.872345, Time  0.236244
2021-09-22 02:38:09.646227 : Epoch  2, Batch    103, Loss  0.867702, Average Loss  0.872226, Time  0.236248
2021-09-22 02:38:12.302807 : Epoch  2, Batch    104, Loss  0.847956, Average Loss  0.872216, Time  0.236786
2021-09-22 02:38:14.954409 : Epoch  2, Batch    105, Loss  0.880220, Average Loss  0.872194, Time  0.236780
2021-09-22 02:38:17.628818 : Epoch  2, Batch    106, Loss  0.861583, Average Loss  0.872111, Time  0.236863
2021-09-22 02:38:20.274951 : Epoch  2, Batch    107, Loss  0.875815, Average Loss  0.872180, Time  0.236577
2021-09-22 02:38:22.924466 : Epoch  2, Batch    108, Loss  0.866337, Average Loss  0.872178, Time  0.236705
2021-09-22 02:38:25.590950 : Epoch  2, Batch    109, Loss  0.846414, Average Loss  0.872021, Time  0.237566
2021-09-22 02:38:28.237776 : Epoch  2, Batch    110, Loss  0.878858, Average Loss  0.872096, Time  0.235811
2021-09-22 02:38:30.888151 : Epoch  2, Batch    111, Loss  0.848932, Average Loss  0.872019, Time  0.236650
2021-09-22 02:38:33.544871 : Epoch  2, Batch    112, Loss  0.881266, Average Loss  0.872003, Time  0.237630
2021-09-22 02:38:36.229404 : Epoch  2, Batch    113, Loss  0.863900, Average Loss  0.871890, Time  0.236292
2021-09-22 02:38:38.854053 : Epoch  2, Batch    114, Loss  0.874935, Average Loss  0.871886, Time  0.236088
2021-09-22 02:38:41.491417 : Epoch  2, Batch    115, Loss  0.861271, Average Loss  0.871869, Time  0.236028
2021-09-22 02:38:44.182383 : Epoch  2, Batch    116, Loss  0.885170, Average Loss  0.871963, Time  0.245172
2021-09-22 02:38:46.841419 : Epoch  2, Batch    117, Loss  0.886002, Average Loss  0.871978, Time  0.236074
2021-09-22 02:38:49.509062 : Epoch  2, Batch    118, Loss  0.888477, Average Loss  0.872048, Time  0.236354
2021-09-22 02:38:52.147413 : Epoch  2, Batch    119, Loss  0.854822, Average Loss  0.871956, Time  0.236717
2021-09-22 02:38:54.790951 : Epoch  2, Batch    120, Loss  0.882730, Average Loss  0.871982, Time  0.236185
2021-09-22 02:38:57.446074 : Epoch  2, Batch    121, Loss  0.866005, Average Loss  0.871971, Time  0.236358
2021-09-22 02:39:00.105898 : Epoch  2, Batch    122, Loss  0.886448, Average Loss  0.872129, Time  0.236527
2021-09-22 02:39:02.786904 : Epoch  2, Batch    123, Loss  0.857848, Average Loss  0.872036, Time  0.236443
2021-09-22 02:39:05.444143 : Epoch  2, Batch    124, Loss  0.885233, Average Loss  0.872129, Time  0.236950
2021-09-22 02:39:08.108077 : Epoch  2, Batch    125, Loss  0.858673, Average Loss  0.872171, Time  0.236677
2021-09-22 02:39:10.785874 : Epoch  2, Batch    126, Loss  0.893328, Average Loss  0.872238, Time  0.238421
2021-09-22 02:39:13.457421 : Epoch  2, Batch    127, Loss  0.889605, Average Loss  0.872305, Time  0.239210
2021-09-22 02:39:16.107789 : Epoch  2, Batch    128, Loss  0.877051, Average Loss  0.872306, Time  0.236908
2021-09-22 02:39:18.768851 : Epoch  2, Batch    129, Loss  0.883248, Average Loss  0.872314, Time  0.237267
2021-09-22 02:39:21.417383 : Epoch  2, Batch    130, Loss  0.890833, Average Loss  0.872450, Time  0.235530
2021-09-22 02:39:24.067758 : Epoch  2, Batch    131, Loss  0.870314, Average Loss  0.872354, Time  0.237165
2021-09-22 02:39:26.726755 : Epoch  2, Batch    132, Loss  0.881006, Average Loss  0.872354, Time  0.239997
2021-09-22 02:39:29.402452 : Epoch  2, Batch    133, Loss  0.862816, Average Loss  0.872219, Time  0.236605
2021-09-22 02:39:32.093477 : Epoch  2, Batch    134, Loss  0.875968, Average Loss  0.872261, Time  0.236680
2021-09-22 02:39:34.780403 : Epoch  2, Batch    135, Loss  0.882566, Average Loss  0.872193, Time  0.236098
2021-09-22 02:39:37.434581 : Epoch  2, Batch    136, Loss  0.869234, Average Loss  0.872120, Time  0.236452
2021-09-22 02:39:40.099575 : Epoch  2, Batch    137, Loss  0.870980, Average Loss  0.871965, Time  0.236435
2021-09-22 02:39:42.759942 : Epoch  2, Batch    138, Loss  0.865972, Average Loss  0.871838, Time  0.236764
2021-09-22 02:39:45.428421 : Epoch  2, Batch    139, Loss  0.885378, Average Loss  0.871836, Time  0.236915
2021-09-22 02:39:48.081788 : Epoch  2, Batch    140, Loss  0.856783, Average Loss  0.871843, Time  0.236571
2021-09-22 02:39:50.749371 : Epoch  2, Batch    141, Loss  0.873258, Average Loss  0.871815, Time  0.236660
2021-09-22 02:39:53.389145 : Epoch  2, Batch    142, Loss  0.858279, Average Loss  0.871782, Time  0.236696
2021-09-22 02:39:56.051105 : Epoch  2, Batch    143, Loss  0.882455, Average Loss  0.871882, Time  0.235975
2021-09-22 02:40:08.031892 : Epoch  2, Batch    144, Loss  0.877502, Average Loss  0.871943, Time  0.278345
2021-09-22 02:44:16.246747 : CheckPoint: Validation Loss  0.00030648, Best Loss  0.00029833
2021-09-22 02:44:18.936870 : Epoch  2, Batch    145, Loss  0.882937, Average Loss  0.871914, Time  0.268950
2021-09-22 02:44:21.598048 : Epoch  2, Batch    146, Loss  0.857964, Average Loss  0.871856, Time  0.238662
2021-09-22 02:44:24.261482 : Epoch  2, Batch    147, Loss  0.869184, Average Loss  0.871931, Time  0.236075
2021-09-22 02:44:26.967453 : Epoch  2, Batch    148, Loss  0.875570, Average Loss  0.871899, Time  0.236579
2021-09-22 02:44:29.639122 : Epoch  2, Batch    149, Loss  0.878659, Average Loss  0.871891, Time  0.236632
2021-09-22 02:44:32.303406 : Epoch  2, Batch    150, Loss  0.887531, Average Loss  0.872099, Time  0.236331
2021-09-22 02:44:34.962095 : Epoch  2, Batch    151, Loss  0.882287, Average Loss  0.872092, Time  0.236567
2021-09-22 02:44:37.618152 : Epoch  2, Batch    152, Loss  0.862890, Average Loss  0.871998, Time  0.237026
2021-09-22 02:44:40.287427 : Epoch  2, Batch    153, Loss  0.873782, Average Loss  0.871864, Time  0.236352
2021-09-22 02:44:42.941665 : Epoch  2, Batch    154, Loss  0.862040, Average Loss  0.871694, Time  0.236656
2021-09-22 02:44:45.640084 : Epoch  2, Batch    155, Loss  0.866658, Average Loss  0.871638, Time  0.236462
2021-09-22 02:44:48.294683 : Epoch  2, Batch    156, Loss  0.870039, Average Loss  0.871676, Time  0.236463
2021-09-22 02:44:50.948402 : Epoch  2, Batch    157, Loss  0.870269, Average Loss  0.871666, Time  0.236116
2021-09-22 02:44:53.607630 : Epoch  2, Batch    158, Loss  0.886488, Average Loss  0.871712, Time  0.238173
2021-09-22 02:44:56.278407 : Epoch  2, Batch    159, Loss  0.870946, Average Loss  0.871703, Time  0.236809
2021-09-22 02:44:58.953471 : Epoch  2, Batch    160, Loss  0.880081, Average Loss  0.871691, Time  0.237686
2021-09-22 02:45:01.653454 : Epoch  2, Batch    161, Loss  0.872050, Average Loss  0.871795, Time  0.236799
2021-09-22 02:45:04.319785 : Epoch  2, Batch    162, Loss  0.856293, Average Loss  0.871753, Time  0.237685
2021-09-22 02:45:06.991392 : Epoch  2, Batch    163, Loss  0.871151, Average Loss  0.871707, Time  0.236088
2021-09-22 02:45:09.645437 : Epoch  2, Batch    164, Loss  0.857918, Average Loss  0.871612, Time  0.235829
2021-09-22 02:45:12.329460 : Epoch  2, Batch    165, Loss  0.860777, Average Loss  0.871453, Time  0.237390
2021-09-22 02:45:14.997851 : Epoch  2, Batch    166, Loss  0.886499, Average Loss  0.871600, Time  0.236534
2021-09-22 02:45:17.667465 : Epoch  2, Batch    167, Loss  0.856658, Average Loss  0.871478, Time  0.236201
2021-09-22 02:45:20.353959 : Epoch  2, Batch    168, Loss  0.856543, Average Loss  0.871326, Time  0.236826
2021-09-22 02:45:23.023994 : Epoch  2, Batch    169, Loss  0.878448, Average Loss  0.871439, Time  0.237828
2021-09-22 02:45:25.688998 : Epoch  2, Batch    170, Loss  0.867709, Average Loss  0.871361, Time  0.237187
2021-09-22 02:45:28.349052 : Epoch  2, Batch    171, Loss  0.861591, Average Loss  0.871254, Time  0.236473
2021-09-22 02:45:31.007272 : Epoch  2, Batch    172, Loss  0.884854, Average Loss  0.871337, Time  0.236522
2021-09-22 02:45:33.669840 : Epoch  2, Batch    173, Loss  0.867209, Average Loss  0.871305, Time  0.237946
2021-09-22 02:45:36.346225 : Epoch  2, Batch    174, Loss  0.873804, Average Loss  0.871334, Time  0.237291
2021-09-22 02:45:39.004863 : Epoch  2, Batch    175, Loss  0.857593, Average Loss  0.871180, Time  0.236441
2021-09-22 02:45:41.681139 : Epoch  2, Batch    176, Loss  0.889965, Average Loss  0.871258, Time  0.240525
2021-09-22 02:45:44.421543 : Epoch  2, Batch    177, Loss  0.871293, Average Loss  0.871300, Time  0.236901
2021-09-22 02:45:47.103181 : Epoch  2, Batch    178, Loss  0.890479, Average Loss  0.871435, Time  0.236470
2021-09-22 02:45:49.766421 : Epoch  2, Batch    179, Loss  0.844825, Average Loss  0.871388, Time  0.236183
2021-09-22 02:45:52.438370 : Epoch  2, Batch    180, Loss  0.865806, Average Loss  0.871420, Time  0.236031
2021-09-22 02:45:55.092427 : Epoch  2, Batch    181, Loss  0.885915, Average Loss  0.871479, Time  0.236284
2021-09-22 02:45:57.807064 : Epoch  2, Batch    182, Loss  0.879003, Average Loss  0.871564, Time  0.237423
2021-09-22 02:46:00.477029 : Epoch  2, Batch    183, Loss  0.886340, Average Loss  0.871513, Time  0.237061
2021-09-22 02:46:03.144441 : Epoch  2, Batch    184, Loss  0.879758, Average Loss  0.871533, Time  0.236535
2021-09-22 02:46:05.803714 : Epoch  2, Batch    185, Loss  0.870479, Average Loss  0.871492, Time  0.236704
2021-09-22 02:46:08.450902 : Epoch  2, Batch    186, Loss  0.901500, Average Loss  0.871712, Time  0.237260
2021-09-22 02:46:11.123412 : Epoch  2, Batch    187, Loss  0.874618, Average Loss  0.871775, Time  0.236789
2021-09-22 02:46:13.788406 : Epoch  2, Batch    188, Loss  0.874175, Average Loss  0.871787, Time  0.237074
2021-09-22 02:46:16.476033 : Epoch  2, Batch    189, Loss  0.861173, Average Loss  0.871833, Time  0.241686
2021-09-22 02:46:19.144084 : Epoch  2, Batch    190, Loss  0.867702, Average Loss  0.871872, Time  0.236310
2021-09-22 02:46:21.804649 : Epoch  2, Batch    191, Loss  0.881763, Average Loss  0.871947, Time  0.236316
2021-09-22 02:46:24.514399 : Epoch  2, Batch    192, Loss  0.868881, Average Loss  0.871861, Time  0.242014
2021-09-22 02:46:27.205374 : Epoch  2, Batch    193, Loss  0.883648, Average Loss  0.872016, Time  0.239718
2021-09-22 02:46:29.864915 : Epoch  2, Batch    194, Loss  0.856266, Average Loss  0.871974, Time  0.235850
2021-09-22 02:46:32.522105 : Epoch  2, Batch    195, Loss  0.876505, Average Loss  0.871844, Time  0.239004
2021-09-22 02:46:35.173109 : Epoch  2, Batch    196, Loss  0.866238, Average Loss  0.871683, Time  0.236254
2021-09-22 02:46:37.843390 : Epoch  2, Batch    197, Loss  0.873392, Average Loss  0.871686, Time  0.236134
2021-09-22 02:46:40.512110 : Epoch  2, Batch    198, Loss  0.883195, Average Loss  0.871715, Time  0.235722
2021-09-22 02:46:43.171066 : Epoch  2, Batch    199, Loss  0.881395, Average Loss  0.871799, Time  0.236468
2021-09-22 02:46:45.825400 : Epoch  2, Batch    200, Loss  0.883183, Average Loss  0.871768, Time  0.236335
2021-09-22 02:46:48.507837 : Epoch  2, Batch    201, Loss  0.872629, Average Loss  0.871658, Time  0.237338
2021-09-22 02:46:51.216881 : Epoch  2, Batch    202, Loss  0.873120, Average Loss  0.871742, Time  0.236876
2021-09-22 02:46:53.879031 : Epoch  2, Batch    203, Loss  0.867264, Average Loss  0.871857, Time  0.237381
2021-09-22 02:46:56.547381 : Epoch  2, Batch    204, Loss  0.876922, Average Loss  0.871916, Time  0.239998
2021-09-22 02:46:59.205824 : Epoch  2, Batch    205, Loss  0.870211, Average Loss  0.871827, Time  0.242416
2021-09-22 02:47:01.875435 : Epoch  2, Batch    206, Loss  0.882413, Average Loss  0.871822, Time  0.235534
2021-09-22 02:47:04.537472 : Epoch  2, Batch    207, Loss  0.878167, Average Loss  0.871872, Time  0.237322
2021-09-22 02:47:07.200064 : Epoch  2, Batch    208, Loss  0.884750, Average Loss  0.871926, Time  0.237038
2021-09-22 02:47:09.910152 : Epoch  2, Batch    209, Loss  0.870955, Average Loss  0.871983, Time  0.237127
2021-09-22 02:47:12.592939 : Epoch  2, Batch    210, Loss  0.873367, Average Loss  0.872174, Time  0.236714
2021-09-22 02:47:15.293370 : Epoch  2, Batch    211, Loss  0.868642, Average Loss  0.872120, Time  0.236956
2021-09-22 02:47:17.955988 : Epoch  2, Batch    212, Loss  0.841730, Average Loss  0.871953, Time  0.237293
2021-09-22 02:47:20.621429 : Epoch  2, Batch    213, Loss  0.860785, Average Loss  0.871854, Time  0.235631
2021-09-22 02:47:23.290075 : Epoch  2, Batch    214, Loss  0.868251, Average Loss  0.871905, Time  0.236136
2021-09-22 02:47:25.944396 : Epoch  2, Batch    215, Loss  0.872137, Average Loss  0.871918, Time  0.236089
2021-09-22 02:47:28.592381 : Epoch  2, Batch    216, Loss  0.863529, Average Loss  0.871824, Time  0.236463
2021-09-22 02:47:31.241163 : Epoch  2, Batch    217, Loss  0.877824, Average Loss  0.871833, Time  0.237002
2021-09-22 02:47:33.931051 : Epoch  2, Batch    218, Loss  0.868373, Average Loss  0.871829, Time  0.236506
2021-09-22 02:47:36.579021 : Epoch  2, Batch    219, Loss  0.877057, Average Loss  0.871795, Time  0.236202
2021-09-22 02:47:39.260479 : Epoch  2, Batch    220, Loss  0.864063, Average Loss  0.871689, Time  0.236086
2021-09-22 02:47:41.915907 : Epoch  2, Batch    221, Loss  0.882059, Average Loss  0.871641, Time  0.236609
2021-09-22 02:47:44.575831 : Epoch  2, Batch    222, Loss  0.872903, Average Loss  0.871700, Time  0.236887
2021-09-22 02:47:47.233100 : Epoch  2, Batch    223, Loss  0.863869, Average Loss  0.871621, Time  0.236624
2021-09-22 02:47:49.914624 : Epoch  2, Batch    224, Loss  0.863594, Average Loss  0.871620, Time  0.236633
2021-09-22 02:47:52.563932 : Epoch  2, Batch    225, Loss  0.883949, Average Loss  0.871625, Time  0.236615
2021-09-22 02:47:55.216203 : Epoch  2, Batch    226, Loss  0.869729, Average Loss  0.871560, Time  0.236297
2021-09-22 02:47:57.911068 : Epoch  2, Batch    227, Loss  0.878333, Average Loss  0.871697, Time  0.238135
2021-09-22 02:48:00.589517 : Epoch  2, Batch    228, Loss  0.877408, Average Loss  0.871806, Time  0.236151
2021-09-22 02:48:03.241458 : Epoch  2, Batch    229, Loss  0.856852, Average Loss  0.871639, Time  0.237424
2021-09-22 02:48:05.897725 : Epoch  2, Batch    230, Loss  0.860940, Average Loss  0.871601, Time  0.237356
2021-09-22 02:48:08.553391 : Epoch  2, Batch    231, Loss  0.888028, Average Loss  0.871661, Time  0.237814
2021-09-22 02:48:11.214422 : Epoch  2, Batch    232, Loss  0.874042, Average Loss  0.871628, Time  0.237435
2021-09-22 02:48:13.877158 : Epoch  2, Batch    233, Loss  0.866575, Average Loss  0.871670, Time  0.237176
2021-09-22 02:48:16.552855 : Epoch  2, Batch    234, Loss  0.857536, Average Loss  0.871683, Time  0.236706
2021-09-22 02:48:19.211866 : Epoch  2, Batch    235, Loss  0.861193, Average Loss  0.871657, Time  0.238068
2021-09-22 02:48:21.868992 : Epoch  2, Batch    236, Loss  0.882300, Average Loss  0.871830, Time  0.236482
2021-09-22 02:48:24.534378 : Epoch  2, Batch    237, Loss  0.893691, Average Loss  0.871955, Time  0.236904
2021-09-22 02:48:27.195402 : Epoch  2, Batch    238, Loss  0.865088, Average Loss  0.871960, Time  0.236241
2021-09-22 02:48:29.850261 : Epoch  2, Batch    239, Loss  0.855423, Average Loss  0.871876, Time  0.236706
2021-09-22 02:48:32.509911 : Epoch  2, Batch    240, Loss  0.862255, Average Loss  0.871766, Time  0.236896
2021-09-22 02:48:35.171404 : Epoch  2, Batch    241, Loss  0.889904, Average Loss  0.871858, Time  0.236901
2021-09-22 02:48:37.824033 : Epoch  2, Batch    242, Loss  0.875993, Average Loss  0.871988, Time  0.236776
2021-09-22 02:48:40.486998 : Epoch  2, Batch    243, Loss  0.869646, Average Loss  0.872012, Time  0.237161
2021-09-22 02:48:43.139427 : Epoch  2, Batch    244, Loss  0.871178, Average Loss  0.872034, Time  0.236582
2021-09-22 02:52:52.458773 : CheckPoint: Validation Loss  0.00030969, Best Loss  0.00029833
2021-09-22 02:52:55.140125 : Epoch  2, Batch    245, Loss  0.871285, Average Loss  0.872077, Time  0.238062
2021-09-22 02:52:57.781925 : Epoch  2, Batch    246, Loss  0.881611, Average Loss  0.872207, Time  0.235966
2021-09-22 02:53:00.431875 : Epoch  2, Batch    247, Loss  0.867905, Average Loss  0.872073, Time  0.236096
2021-09-22 02:53:03.112404 : Epoch  2, Batch    248, Loss  0.879556, Average Loss  0.872127, Time  0.236480
2021-09-22 02:53:05.750239 : Epoch  2, Batch    249, Loss  0.897474, Average Loss  0.872366, Time  0.236027
2021-09-22 02:53:08.397825 : Epoch  2, Batch    250, Loss  0.882481, Average Loss  0.872304, Time  0.236588
2021-09-22 02:53:11.053986 : Epoch  2, Batch    251, Loss  0.869928, Average Loss  0.872256, Time  0.236957
2021-09-22 02:53:13.754948 : Epoch  2, Batch    252, Loss  0.865108, Average Loss  0.872249, Time  0.236164
2021-09-22 02:53:16.411600 : Epoch  2, Batch    253, Loss  0.866477, Average Loss  0.872263, Time  0.236622
2021-09-22 02:53:19.088967 : Epoch  2, Batch    254, Loss  0.877452, Average Loss  0.872379, Time  0.237041
2021-09-22 02:53:21.769389 : Epoch  2, Batch    255, Loss  0.883972, Average Loss  0.872481, Time  0.236335
2021-09-22 02:53:24.448400 : Epoch  2, Batch    256, Loss  0.877102, Average Loss  0.872453, Time  0.239582
2021-09-22 02:53:27.103393 : Epoch  2, Batch    257, Loss  0.869514, Average Loss  0.872496, Time  0.236289
2021-09-22 02:53:29.772946 : Epoch  2, Batch    258, Loss  0.900737, Average Loss  0.872608, Time  0.236834
2021-09-22 02:53:32.447399 : Epoch  2, Batch    259, Loss  0.879484, Average Loss  0.872616, Time  0.237553
2021-09-22 02:53:35.142410 : Epoch  2, Batch    260, Loss  0.889266, Average Loss  0.872829, Time  0.249937
2021-09-22 02:53:37.814892 : Epoch  2, Batch    261, Loss  0.894439, Average Loss  0.873007, Time  0.238004
2021-09-22 02:53:40.487407 : Epoch  2, Batch    262, Loss  0.880611, Average Loss  0.872951, Time  0.236009
2021-09-22 02:53:43.134942 : Epoch  2, Batch    263, Loss  0.886632, Average Loss  0.872992, Time  0.237274
2021-09-22 02:53:45.784127 : Epoch  2, Batch    264, Loss  0.851900, Average Loss  0.872811, Time  0.236904
2021-09-22 02:53:48.440404 : Epoch  2, Batch    265, Loss  0.880860, Average Loss  0.872950, Time  0.236397
2021-09-22 02:53:51.079821 : Epoch  2, Batch    266, Loss  0.881177, Average Loss  0.873043, Time  0.236778
2021-09-22 02:53:53.732419 : Epoch  2, Batch    267, Loss  0.885395, Average Loss  0.873152, Time  0.236194
2021-09-22 02:53:56.405761 : Epoch  2, Batch    268, Loss  0.880572, Average Loss  0.873105, Time  0.236434
2021-09-22 02:53:59.077174 : Epoch  2, Batch    269, Loss  0.879082, Average Loss  0.873061, Time  0.236641
2021-09-22 02:54:01.740851 : Epoch  2, Batch    270, Loss  0.865611, Average Loss  0.873025, Time  0.236432
2021-09-22 02:54:04.396686 : Epoch  2, Batch    271, Loss  0.862754, Average Loss  0.873024, Time  0.237246
2021-09-22 02:54:07.056886 : Epoch  2, Batch    272, Loss  0.870812, Average Loss  0.872889, Time  0.237587
2021-09-22 02:54:09.719802 : Epoch  2, Batch    273, Loss  0.876260, Average Loss  0.872883, Time  0.237457
2021-09-22 02:54:12.364374 : Epoch  2, Batch    274, Loss  0.873059, Average Loss  0.873032, Time  0.236593
2021-09-22 02:54:14.995986 : Epoch  2, Batch    275, Loss  0.868317, Average Loss  0.872943, Time  0.236409
2021-09-22 02:54:17.649898 : Epoch  2, Batch    276, Loss  0.867326, Average Loss  0.872936, Time  0.236260
2021-09-22 02:54:20.316028 : Epoch  2, Batch    277, Loss  0.860611, Average Loss  0.872992, Time  0.236473
2021-09-22 02:54:22.995904 : Epoch  2, Batch    278, Loss  0.862839, Average Loss  0.873004, Time  0.236255
2021-09-22 02:54:25.654416 : Epoch  2, Batch    279, Loss  0.860297, Average Loss  0.873045, Time  0.236692
2021-09-22 02:54:28.301919 : Epoch  2, Batch    280, Loss  0.858014, Average Loss  0.873047, Time  0.236835
2021-09-22 02:54:30.955305 : Epoch  2, Batch    281, Loss  0.868100, Average Loss  0.873073, Time  0.236586
2021-09-22 02:54:33.617656 : Epoch  2, Batch    282, Loss  0.866837, Average Loss  0.872953, Time  0.236778
2021-09-22 02:54:36.275408 : Epoch  2, Batch    283, Loss  0.872998, Average Loss  0.872927, Time  0.236168
2021-09-22 02:54:38.946426 : Epoch  2, Batch    284, Loss  0.866828, Average Loss  0.872759, Time  0.237179
2021-09-22 02:54:41.585596 : Epoch  2, Batch    285, Loss  0.877296, Average Loss  0.872725, Time  0.236864
2021-09-22 02:54:44.268301 : Epoch  2, Batch    286, Loss  0.896449, Average Loss  0.872834, Time  0.237885
2021-09-22 02:54:46.944831 : Epoch  2, Batch    287, Loss  0.859001, Average Loss  0.872777, Time  0.237748
2021-09-22 02:54:49.580815 : Epoch  2, Batch    288, Loss  0.865570, Average Loss  0.872691, Time  0.237086
2021-09-22 02:54:52.250407 : Epoch  2, Batch    289, Loss  0.880535, Average Loss  0.872670, Time  0.237047
2021-09-22 02:54:54.906931 : Epoch  2, Batch    290, Loss  0.890180, Average Loss  0.872735, Time  0.237054
2021-09-22 02:54:57.574412 : Epoch  2, Batch    291, Loss  0.857091, Average Loss  0.872664, Time  0.239992
2021-09-22 02:55:00.243445 : Epoch  2, Batch    292, Loss  0.878121, Average Loss  0.872801, Time  0.236537
2021-09-22 02:55:02.904845 : Epoch  2, Batch    293, Loss  0.862307, Average Loss  0.872775, Time  0.236900
2021-09-22 02:55:05.575675 : Epoch  2, Batch    294, Loss  0.846304, Average Loss  0.872710, Time  0.235776
2021-09-22 02:55:08.224249 : Epoch  2, Batch    295, Loss  0.867347, Average Loss  0.872718, Time  0.236833
2021-09-22 02:55:10.886674 : Epoch  2, Batch    296, Loss  0.877517, Average Loss  0.872676, Time  0.235962
2021-09-22 02:55:13.596813 : Epoch  2, Batch    297, Loss  0.883503, Average Loss  0.872734, Time  0.237391
2021-09-22 02:55:16.296382 : Epoch  2, Batch    298, Loss  0.867057, Average Loss  0.872786, Time  0.235889
2021-09-22 02:55:18.962863 : Epoch  2, Batch    299, Loss  0.869809, Average Loss  0.872790, Time  0.236639
2021-09-22 02:55:21.617915 : Epoch  2, Batch    300, Loss  0.902766, Average Loss  0.872875, Time  0.236299
2021-09-22 02:55:24.263019 : Epoch  2, Batch    301, Loss  0.854677, Average Loss  0.872797, Time  0.236969
2021-09-22 02:55:26.946405 : Epoch  2, Batch    302, Loss  0.889454, Average Loss  0.872887, Time  0.236206
2021-09-22 02:55:29.605297 : Epoch  2, Batch    303, Loss  0.871760, Average Loss  0.872907, Time  0.236329
2021-09-22 02:55:32.280928 : Epoch  2, Batch    304, Loss  0.894621, Average Loss  0.873141, Time  0.236614
2021-09-22 02:55:34.953690 : Epoch  2, Batch    305, Loss  0.882608, Average Loss  0.873153, Time  0.236855
2021-09-22 02:55:37.678425 : Epoch  2, Batch    306, Loss  0.860723, Average Loss  0.873148, Time  0.235955
2021-09-22 02:55:40.332719 : Epoch  2, Batch    307, Loss  0.854338, Average Loss  0.873041, Time  0.237178
2021-09-22 02:55:42.988383 : Epoch  2, Batch    308, Loss  0.856650, Average Loss  0.872993, Time  0.235268
2021-09-22 02:55:45.653992 : Epoch  2, Batch    309, Loss  0.867904, Average Loss  0.873100, Time  0.238718
2021-09-22 02:55:48.315725 : Epoch  2, Batch    310, Loss  0.864766, Average Loss  0.873030, Time  0.236891
2021-09-22 02:55:50.981286 : Epoch  2, Batch    311, Loss  0.887384, Average Loss  0.873222, Time  0.237010
2021-09-22 02:55:53.663444 : Epoch  2, Batch    312, Loss  0.886875, Average Loss  0.873250, Time  0.236324
2021-09-22 02:55:56.334075 : Epoch  2, Batch    313, Loss  0.879649, Average Loss  0.873329, Time  0.236273
2021-09-22 02:55:58.992392 : Epoch  2, Batch    314, Loss  0.879828, Average Loss  0.873353, Time  0.236173
2021-09-22 02:56:01.645408 : Epoch  2, Batch    315, Loss  0.859516, Average Loss  0.873344, Time  0.235805
2021-09-22 02:56:04.292864 : Epoch  2, Batch    316, Loss  0.860589, Average Loss  0.873221, Time  0.236828
2021-09-22 02:56:06.930372 : Epoch  2, Batch    317, Loss  0.876448, Average Loss  0.873174, Time  0.236000
2021-09-22 02:56:09.564850 : Epoch  2, Batch    318, Loss  0.855963, Average Loss  0.873011, Time  0.235890
2021-09-22 02:56:12.239265 : Epoch  2, Batch    319, Loss  0.869250, Average Loss  0.873083, Time  0.242781
2021-09-22 02:56:14.892809 : Epoch  2, Batch    320, Loss  0.884611, Average Loss  0.873093, Time  0.235778
2021-09-22 02:56:17.538196 : Epoch  2, Batch    321, Loss  0.884356, Average Loss  0.873184, Time  0.236823
2021-09-22 02:56:20.205803 : Epoch  2, Batch    322, Loss  0.879968, Average Loss  0.873152, Time  0.237156
2021-09-22 02:56:22.849146 : Epoch  2, Batch    323, Loss  0.882648, Average Loss  0.873276, Time  0.236853
2021-09-22 02:56:25.512419 : Epoch  2, Batch    324, Loss  0.902165, Average Loss  0.873361, Time  0.236102
2021-09-22 02:56:28.172890 : Epoch  2, Batch    325, Loss  0.871164, Average Loss  0.873423, Time  0.236288
2021-09-22 02:56:30.823019 : Epoch  2, Batch    326, Loss  0.860315, Average Loss  0.873258, Time  0.236163
2021-09-22 02:56:33.467800 : Epoch  2, Batch    327, Loss  0.874271, Average Loss  0.873181, Time  0.236644
2021-09-22 02:56:36.125249 : Epoch  2, Batch    328, Loss  0.905371, Average Loss  0.873323, Time  0.235796
2021-09-22 02:56:38.788130 : Epoch  2, Batch    329, Loss  0.866342, Average Loss  0.873238, Time  0.237500
2021-09-22 02:56:41.447961 : Epoch  2, Batch    330, Loss  0.883090, Average Loss  0.873200, Time  0.236643
2021-09-22 02:56:44.109391 : Epoch  2, Batch    331, Loss  0.884876, Average Loss  0.873273, Time  0.237089
2021-09-22 02:56:46.792036 : Epoch  2, Batch    332, Loss  0.881312, Average Loss  0.873274, Time  0.236834
2021-09-22 02:56:49.452991 : Epoch  2, Batch    333, Loss  0.841985, Average Loss  0.873170, Time  0.237036
2021-09-22 02:56:52.148076 : Epoch  2, Batch    334, Loss  0.874016, Average Loss  0.873160, Time  0.236362
2021-09-22 02:56:54.814922 : Epoch  2, Batch    335, Loss  0.884967, Average Loss  0.873172, Time  0.236705
2021-09-22 02:56:57.473636 : Epoch  2, Batch    336, Loss  0.865981, Average Loss  0.873156, Time  0.237111
2021-09-22 02:57:00.163216 : Epoch  2, Batch    337, Loss  0.865702, Average Loss  0.873129, Time  0.236461
2021-09-22 02:57:02.843403 : Epoch  2, Batch    338, Loss  0.851812, Average Loss  0.873059, Time  0.236074
2021-09-22 02:57:05.543201 : Epoch  2, Batch    339, Loss  0.869329, Average Loss  0.872978, Time  0.244311
2021-09-22 02:57:08.205390 : Epoch  2, Batch    340, Loss  0.881161, Average Loss  0.873100, Time  0.236544
2021-09-22 02:57:10.860417 : Epoch  2, Batch    341, Loss  0.854801, Average Loss  0.873008, Time  0.236038
2021-09-22 02:57:13.527121 : Epoch  2, Batch    342, Loss  0.861751, Average Loss  0.873025, Time  0.236250
2021-09-22 02:57:16.185831 : Epoch  2, Batch    343, Loss  0.877515, Average Loss  0.873001, Time  0.236705
2021-09-22 02:57:18.847171 : Epoch  2, Batch    344, Loss  0.881457, Average Loss  0.873020, Time  0.236286
2021-09-22 03:01:28.875736 : CheckPoint: Validation Loss  0.00030414, Best Loss  0.00029833
2021-09-22 03:01:31.541236 : Epoch  2, Batch    345, Loss  0.875920, Average Loss  0.872985, Time  0.241009
2021-09-22 03:01:34.202373 : Epoch  2, Batch    346, Loss  0.856482, Average Loss  0.872978, Time  0.236988
2021-09-22 03:01:36.859975 : Epoch  2, Batch    347, Loss  0.874434, Average Loss  0.873004, Time  0.236657
2021-09-22 03:01:39.515936 : Epoch  2, Batch    348, Loss  0.871665, Average Loss  0.872985, Time  0.236273
2021-09-22 03:01:42.193386 : Epoch  2, Batch    349, Loss  0.876516, Average Loss  0.872974, Time  0.236687
2021-09-22 03:01:44.840079 : Epoch  2, Batch    350, Loss  0.865384, Average Loss  0.872863, Time  0.236429
2021-09-22 03:01:47.494709 : Epoch  2, Batch    351, Loss  0.879355, Average Loss  0.872849, Time  0.235919
2021-09-22 03:01:50.147394 : Epoch  2, Batch    352, Loss  0.873479, Average Loss  0.872902, Time  0.236243
2021-09-22 03:01:52.803454 : Epoch  2, Batch    353, Loss  0.875209, Average Loss  0.872909, Time  0.236452
2021-09-22 03:01:55.463858 : Epoch  2, Batch    354, Loss  0.872586, Average Loss  0.872961, Time  0.236384
2021-09-22 03:01:58.120714 : Epoch  2, Batch    355, Loss  0.853583, Average Loss  0.872896, Time  0.235991
2021-09-22 03:02:00.767041 : Epoch  2, Batch    356, Loss  0.888087, Average Loss  0.872986, Time  0.237037
2021-09-22 03:02:03.429555 : Epoch  2, Batch    357, Loss  0.861384, Average Loss  0.872942, Time  0.236894
2021-09-22 03:02:06.069576 : Epoch  2, Batch    358, Loss  0.883620, Average Loss  0.872928, Time  0.235840
2021-09-22 03:02:08.718155 : Epoch  2, Batch    359, Loss  0.871348, Average Loss  0.872930, Time  0.236381
2021-09-22 03:02:11.368629 : Epoch  2, Batch    360, Loss  0.888988, Average Loss  0.872974, Time  0.235686
2021-09-22 03:02:14.009395 : Epoch  2, Batch    361, Loss  0.880190, Average Loss  0.873015, Time  0.236480
2021-09-22 03:02:16.659272 : Epoch  2, Batch    362, Loss  0.880125, Average Loss  0.873134, Time  0.236147
2021-09-22 03:02:19.334280 : Epoch  2, Batch    363, Loss  0.871640, Average Loss  0.873136, Time  0.238379
2021-09-22 03:02:22.000153 : Epoch  2, Batch    364, Loss  0.871665, Average Loss  0.873205, Time  0.236183
2021-09-22 03:02:24.652679 : Epoch  2, Batch    365, Loss  0.878243, Average Loss  0.873292, Time  0.236751
2021-09-22 03:02:27.301652 : Epoch  2, Batch    366, Loss  0.884538, Average Loss  0.873283, Time  0.236540
2021-09-22 03:02:29.962505 : Epoch  2, Batch    367, Loss  0.860923, Average Loss  0.873304, Time  0.237081
2021-09-22 03:02:32.609950 : Epoch  2, Batch    368, Loss  0.888387, Average Loss  0.873463, Time  0.235859
2021-09-22 03:02:35.261833 : Epoch  2, Batch    369, Loss  0.892043, Average Loss  0.873531, Time  0.236560
2021-09-22 03:02:37.913803 : Epoch  2, Batch    370, Loss  0.878196, Average Loss  0.873584, Time  0.235543
2021-09-22 03:02:40.577076 : Epoch  2, Batch    371, Loss  0.890192, Average Loss  0.873727, Time  0.238123
2021-09-22 03:02:43.226566 : Epoch  2, Batch    372, Loss  0.878954, Average Loss  0.873697, Time  0.235890
2021-09-22 03:02:45.877842 : Epoch  2, Batch    373, Loss  0.891084, Average Loss  0.873816, Time  0.236567
2021-09-22 03:02:48.525386 : Epoch  2, Batch    374, Loss  0.889223, Average Loss  0.873894, Time  0.235943
2021-09-22 03:02:51.192906 : Epoch  2, Batch    375, Loss  0.869091, Average Loss  0.873951, Time  0.237026
2021-09-22 03:02:53.844980 : Epoch  2, Batch    376, Loss  0.883064, Average Loss  0.873917, Time  0.236682
2021-09-22 03:02:56.502501 : Epoch  2, Batch    377, Loss  0.869267, Average Loss  0.873906, Time  0.236743
2021-09-22 03:02:59.146395 : Epoch  2, Batch    378, Loss  0.868941, Average Loss  0.873799, Time  0.236606
2021-09-22 03:03:01.787596 : Epoch  2, Batch    379, Loss  0.871081, Average Loss  0.873930, Time  0.236214
2021-09-22 03:03:04.441907 : Epoch  2, Batch    380, Loss  0.858714, Average Loss  0.873895, Time  0.236255
2021-09-22 03:03:07.113092 : Epoch  2, Batch    381, Loss  0.851111, Average Loss  0.873721, Time  0.236674
2021-09-22 03:03:09.748641 : Epoch  2, Batch    382, Loss  0.895793, Average Loss  0.873804, Time  0.235916
2021-09-22 03:03:12.390081 : Epoch  2, Batch    383, Loss  0.859996, Average Loss  0.873673, Time  0.236245
2021-09-22 03:03:15.040210 : Epoch  2, Batch    384, Loss  0.874511, Average Loss  0.873647, Time  0.236538
2021-09-22 03:03:17.695242 : Epoch  2, Batch    385, Loss  0.864378, Average Loss  0.873616, Time  0.236797
2021-09-22 03:03:20.339033 : Epoch  2, Batch    386, Loss  0.859103, Average Loss  0.873404, Time  0.238189
2021-09-22 03:03:22.987900 : Epoch  2, Batch    387, Loss  0.864502, Average Loss  0.873353, Time  0.236009
2021-09-22 03:03:25.640262 : Epoch  2, Batch    388, Loss  0.873545, Average Loss  0.873350, Time  0.236795
2021-09-22 03:03:28.295764 : Epoch  2, Batch    389, Loss  0.866933, Average Loss  0.873379, Time  0.236887
2021-09-22 03:03:30.941398 : Epoch  2, Batch    390, Loss  0.869554, Average Loss  0.873388, Time  0.235988
2021-09-22 03:03:33.585972 : Epoch  2, Batch    391, Loss  0.879522, Average Loss  0.873377, Time  0.236824
2021-09-22 03:03:36.251717 : Epoch  2, Batch    392, Loss  0.879587, Average Loss  0.873431, Time  0.236705
2021-09-22 03:03:38.927408 : Epoch  2, Batch    393, Loss  0.874771, Average Loss  0.873386, Time  0.236670
2021-09-22 03:03:41.592216 : Epoch  2, Batch    394, Loss  0.876217, Average Loss  0.873486, Time  0.236412
2021-09-22 03:03:44.238192 : Epoch  2, Batch    395, Loss  0.892338, Average Loss  0.873565, Time  0.236461
2021-09-22 03:03:46.901868 : Epoch  2, Batch    396, Loss  0.861679, Average Loss  0.873542, Time  0.236731
2021-09-22 03:03:49.559647 : Epoch  2, Batch    397, Loss  0.859952, Average Loss  0.873475, Time  0.237049
2021-09-22 03:03:52.199087 : Epoch  2, Batch    398, Loss  0.880151, Average Loss  0.873460, Time  0.235737
2021-09-22 03:03:54.855924 : Epoch  2, Batch    399, Loss  0.842117, Average Loss  0.873264, Time  0.236646
2021-09-22 03:03:57.517893 : Epoch  2, Batch    400, Loss  0.886250, Average Loss  0.873279, Time  0.236024
2021-09-22 03:04:00.195401 : Epoch  2, Batch    401, Loss  0.877808, Average Loss  0.873305, Time  0.250400
2021-09-22 03:04:02.853680 : Epoch  2, Batch    402, Loss  0.878981, Average Loss  0.873334, Time  0.235512
2021-09-22 03:04:05.512780 : Epoch  2, Batch    403, Loss  0.891254, Average Loss  0.873454, Time  0.236693
2021-09-22 03:04:08.166661 : Epoch  2, Batch    404, Loss  0.864498, Average Loss  0.873392, Time  0.235731
2021-09-22 03:04:10.822473 : Epoch  2, Batch    405, Loss  0.875764, Average Loss  0.873420, Time  0.236795
2021-09-22 03:04:13.479460 : Epoch  2, Batch    406, Loss  0.883885, Average Loss  0.873427, Time  0.236355
2021-09-22 03:04:16.135002 : Epoch  2, Batch    407, Loss  0.890650, Average Loss  0.873490, Time  0.236634
2021-09-22 03:04:18.796152 : Epoch  2, Batch    408, Loss  0.880247, Average Loss  0.873467, Time  0.238126
2021-09-22 03:04:21.443645 : Epoch  2, Batch    409, Loss  0.854694, Average Loss  0.873386, Time  0.236756
2021-09-22 03:04:24.094200 : Epoch  2, Batch    410, Loss  0.870986, Average Loss  0.873374, Time  0.236483
2021-09-22 03:04:26.754467 : Epoch  2, Batch    411, Loss  0.887333, Average Loss  0.873467, Time  0.236250
2021-09-22 03:04:29.399736 : Epoch  2, Batch    412, Loss  0.868616, Average Loss  0.873602, Time  0.236978
2021-09-22 03:04:32.052321 : Epoch  2, Batch    413, Loss  0.862449, Average Loss  0.873610, Time  0.236667
2021-09-22 03:04:34.690991 : Epoch  2, Batch    414, Loss  0.861689, Average Loss  0.873577, Time  0.236077
2021-09-22 03:04:37.332915 : Epoch  2, Batch    415, Loss  0.876394, Average Loss  0.873598, Time  0.236684
2021-09-22 03:04:39.992134 : Epoch  2, Batch    416, Loss  0.887254, Average Loss  0.873717, Time  0.238352
2021-09-22 03:04:42.646400 : Epoch  2, Batch    417, Loss  0.879071, Average Loss  0.873723, Time  0.236096
2021-09-22 03:04:45.308639 : Epoch  2, Batch    418, Loss  0.883669, Average Loss  0.873800, Time  0.236605
2021-09-22 03:04:47.950952 : Epoch  2, Batch    419, Loss  0.849743, Average Loss  0.873663, Time  0.236727
2021-09-22 03:04:50.609384 : Epoch  2, Batch    420, Loss  0.897783, Average Loss  0.873832, Time  0.236582
2021-09-22 03:04:53.266384 : Epoch  2, Batch    421, Loss  0.878289, Average Loss  0.873813, Time  0.237026
2021-09-22 03:04:55.945222 : Epoch  2, Batch    422, Loss  0.871062, Average Loss  0.873804, Time  0.236372
2021-09-22 03:04:58.613049 : Epoch  2, Batch    423, Loss  0.895982, Average Loss  0.873964, Time  0.239993
2021-09-22 03:05:01.279896 : Epoch  2, Batch    424, Loss  0.884698, Average Loss  0.874070, Time  0.236463
2021-09-22 03:05:03.971380 : Epoch  2, Batch    425, Loss  0.870451, Average Loss  0.874002, Time  0.238759
2021-09-22 03:05:06.633887 : Epoch  2, Batch    426, Loss  0.875506, Average Loss  0.874031, Time  0.237262
2021-09-22 03:05:09.328406 : Epoch  2, Batch    427, Loss  0.878657, Average Loss  0.874033, Time  0.236882
2021-09-22 03:05:11.988492 : Epoch  2, Batch    428, Loss  0.879616, Average Loss  0.874044, Time  0.238549
2021-09-22 03:05:14.677195 : Epoch  2, Batch    429, Loss  0.862124, Average Loss  0.874070, Time  0.236374
2021-09-22 03:05:17.385052 : Epoch  2, Batch    430, Loss  0.886726, Average Loss  0.874199, Time  0.236925
2021-09-22 03:05:20.060629 : Epoch  2, Batch    431, Loss  0.873932, Average Loss  0.874129, Time  0.240475
2021-09-22 03:05:22.730412 : Epoch  2, Batch    432, Loss  0.873500, Average Loss  0.874126, Time  0.236262
2021-09-22 03:05:25.403972 : Epoch  2, Batch    433, Loss  0.860827, Average Loss  0.874097, Time  0.238117
2021-09-22 03:05:28.077900 : Epoch  2, Batch    434, Loss  0.879593, Average Loss  0.874208, Time  0.237375
2021-09-22 03:05:30.734505 : Epoch  2, Batch    435, Loss  0.880775, Average Loss  0.874305, Time  0.239191
2021-09-22 03:05:33.408967 : Epoch  2, Batch    436, Loss  0.860295, Average Loss  0.874195, Time  0.237025
2021-09-22 03:05:36.064399 : Epoch  2, Batch    437, Loss  0.902498, Average Loss  0.874239, Time  0.236138
2021-09-22 03:05:38.705829 : Epoch  2, Batch    438, Loss  0.892898, Average Loss  0.874379, Time  0.236135
2021-09-22 03:05:41.359609 : Epoch  2, Batch    439, Loss  0.859986, Average Loss  0.874401, Time  0.237265
2021-09-22 03:05:44.022344 : Epoch  2, Batch    440, Loss  0.874201, Average Loss  0.874461, Time  0.237351
2021-09-22 03:05:46.690398 : Epoch  2, Batch    441, Loss  0.883058, Average Loss  0.874427, Time  0.236840
2021-09-22 03:05:49.348272 : Epoch  2, Batch    442, Loss  0.880100, Average Loss  0.874447, Time  0.236607
2021-09-22 03:05:52.013845 : Epoch  2, Batch    443, Loss  0.875991, Average Loss  0.874479, Time  0.238502
2021-09-22 03:05:54.661057 : Epoch  2, Batch    444, Loss  0.867627, Average Loss  0.874461, Time  0.236669
2021-09-22 03:10:05.294472 : CheckPoint: Validation Loss  0.00030855, Best Loss  0.00029833
2021-09-22 03:10:07.981257 : Epoch  2, Batch    445, Loss  0.886071, Average Loss  0.874535, Time  0.262669
2021-09-22 03:10:10.644859 : Epoch  2, Batch    446, Loss  0.858595, Average Loss  0.874420, Time  0.236713
2021-09-22 03:10:13.303867 : Epoch  2, Batch    447, Loss  0.878460, Average Loss  0.874473, Time  0.236660
2021-09-22 03:10:15.962422 : Epoch  2, Batch    448, Loss  0.876460, Average Loss  0.874458, Time  0.235745
2021-09-22 03:10:18.633760 : Epoch  2, Batch    449, Loss  0.865853, Average Loss  0.874299, Time  0.242111
2021-09-22 03:10:21.318729 : Epoch  2, Batch    450, Loss  0.879880, Average Loss  0.874286, Time  0.237294
2021-09-22 03:10:23.970944 : Epoch  2, Batch    451, Loss  0.867724, Average Loss  0.874275, Time  0.236077
2021-09-22 03:10:26.630957 : Epoch  2, Batch    452, Loss  0.858569, Average Loss  0.874243, Time  0.236227
2021-09-22 03:10:29.285393 : Epoch  2, Batch    453, Loss  0.862331, Average Loss  0.874222, Time  0.235878
2021-09-22 03:10:31.944011 : Epoch  2, Batch    454, Loss  0.866690, Average Loss  0.874168, Time  0.237025
2021-09-22 03:10:34.602702 : Epoch  2, Batch    455, Loss  0.873519, Average Loss  0.874116, Time  0.237871
2021-09-22 03:10:37.254252 : Epoch  2, Batch    456, Loss  0.866844, Average Loss  0.874065, Time  0.236578
2021-09-22 03:10:39.924979 : Epoch  2, Batch    457, Loss  0.870292, Average Loss  0.874068, Time  0.237866
2021-09-22 03:10:42.578056 : Epoch  2, Batch    458, Loss  0.883418, Average Loss  0.873982, Time  0.236036
2021-09-22 03:10:45.227959 : Epoch  2, Batch    459, Loss  0.876472, Average Loss  0.873967, Time  0.237255
2021-09-22 03:10:47.872443 : Epoch  2, Batch    460, Loss  0.876781, Average Loss  0.873904, Time  0.236401
2021-09-22 03:10:50.583770 : Epoch  2, Batch    461, Loss  0.850667, Average Loss  0.873686, Time  0.236101
2021-09-22 03:10:53.253705 : Epoch  2, Batch    462, Loss  0.894806, Average Loss  0.873757, Time  0.237475
2021-09-22 03:10:55.924982 : Epoch  2, Batch    463, Loss  0.853634, Average Loss  0.873592, Time  0.237347
2021-09-22 03:10:58.585882 : Epoch  2, Batch    464, Loss  0.861168, Average Loss  0.873638, Time  0.236586
2021-09-22 03:11:01.243201 : Epoch  2, Batch    465, Loss  0.898911, Average Loss  0.873728, Time  0.236099
2021-09-22 03:11:03.900239 : Epoch  2, Batch    466, Loss  0.882002, Average Loss  0.873732, Time  0.236597
2021-09-22 03:11:06.563196 : Epoch  2, Batch    467, Loss  0.872756, Average Loss  0.873669, Time  0.235693
2021-09-22 03:11:09.228437 : Epoch  2, Batch    468, Loss  0.854757, Average Loss  0.873540, Time  0.236398
2021-09-22 03:11:11.898152 : Epoch  2, Batch    469, Loss  0.867359, Average Loss  0.873481, Time  0.236824
2021-09-22 03:11:14.580892 : Epoch  2, Batch    470, Loss  0.896595, Average Loss  0.873636, Time  0.236271
2021-09-22 03:11:17.239794 : Epoch  2, Batch    471, Loss  0.864729, Average Loss  0.873646, Time  0.236741
2021-09-22 03:11:19.895814 : Epoch  2, Batch    472, Loss  0.880452, Average Loss  0.873694, Time  0.236639
2021-09-22 03:11:22.549903 : Epoch  2, Batch    473, Loss  0.880685, Average Loss  0.873716, Time  0.236512
2021-09-22 03:11:25.204840 : Epoch  2, Batch    474, Loss  0.879852, Average Loss  0.873750, Time  0.236201
2021-09-22 03:11:27.859910 : Epoch  2, Batch    475, Loss  0.840962, Average Loss  0.873614, Time  0.236386
2021-09-22 03:11:30.522882 : Epoch  2, Batch    476, Loss  0.879522, Average Loss  0.873675, Time  0.235898
2021-09-22 03:11:33.192004 : Epoch  2, Batch    477, Loss  0.879680, Average Loss  0.873770, Time  0.237631
2021-09-22 03:11:35.846385 : Epoch  2, Batch    478, Loss  0.850911, Average Loss  0.873710, Time  0.236236
2021-09-22 03:11:38.507032 : Epoch  2, Batch    479, Loss  0.852432, Average Loss  0.873671, Time  0.237937
2021-09-22 03:11:41.165350 : Epoch  2, Batch    480, Loss  0.878752, Average Loss  0.873775, Time  0.236598
2021-09-22 03:11:43.819002 : Epoch  2, Batch    481, Loss  0.881909, Average Loss  0.873844, Time  0.235792
2021-09-22 03:11:46.495410 : Epoch  2, Batch    482, Loss  0.895728, Average Loss  0.873988, Time  0.237432
2021-09-22 03:11:49.155934 : Epoch  2, Batch    483, Loss  0.866383, Average Loss  0.873955, Time  0.237041
2021-09-22 03:11:51.799069 : Epoch  2, Batch    484, Loss  0.889425, Average Loss  0.874068, Time  0.235944
2021-09-22 03:11:54.457834 : Epoch  2, Batch    485, Loss  0.882397, Average Loss  0.874094, Time  0.236482
2021-09-22 03:11:57.120409 : Epoch  2, Batch    486, Loss  0.871791, Average Loss  0.873970, Time  0.236037
2021-09-22 03:11:59.773386 : Epoch  2, Batch    487, Loss  0.879382, Average Loss  0.874072, Time  0.235979
2021-09-22 03:12:02.427399 : Epoch  2, Batch    488, Loss  0.878364, Average Loss  0.874136, Time  0.236481
2021-09-22 03:12:05.102215 : Epoch  2, Batch    489, Loss  0.885049, Average Loss  0.874159, Time  0.236465
2021-09-22 03:12:07.752396 : Epoch  2, Batch    490, Loss  0.872852, Average Loss  0.874072, Time  0.235758
2021-09-22 03:12:10.411220 : Epoch  2, Batch    491, Loss  0.861509, Average Loss  0.874094, Time  0.236746
2021-09-22 03:12:13.055899 : Epoch  2, Batch    492, Loss  0.880344, Average Loss  0.874105, Time  0.236327
2021-09-22 03:12:15.716916 : Epoch  2, Batch    493, Loss  0.869526, Average Loss  0.874141, Time  0.236259
2021-09-22 03:12:18.385361 : Epoch  2, Batch    494, Loss  0.877931, Average Loss  0.874300, Time  0.236159
2021-09-22 03:12:21.077854 : Epoch  2, Batch    495, Loss  0.874876, Average Loss  0.874337, Time  0.236352
2021-09-22 03:12:23.737886 : Epoch  2, Batch    496, Loss  0.886051, Average Loss  0.874380, Time  0.236550
2021-09-22 03:12:26.408438 : Epoch  2, Batch    497, Loss  0.850323, Average Loss  0.874214, Time  0.236055
2021-09-22 03:12:29.051174 : Epoch  2, Batch    498, Loss  0.876757, Average Loss  0.874263, Time  0.235941
2021-09-22 03:12:31.711874 : Epoch  2, Batch    499, Loss  0.856369, Average Loss  0.874195, Time  0.236882
2021-09-22 03:12:34.368409 : Epoch  2, Batch    500, Loss  0.870175, Average Loss  0.874032, Time  0.237488
2021-09-22 03:12:37.026562 : Epoch  2, Batch    501, Loss  0.863609, Average Loss  0.874077, Time  0.237044
2021-09-22 03:12:39.697059 : Epoch  2, Batch    502, Loss  0.864435, Average Loss  0.873952, Time  0.237524
2021-09-22 03:12:42.368915 : Epoch  2, Batch    503, Loss  0.890574, Average Loss  0.874046, Time  0.237870
2021-09-22 03:12:45.017584 : Epoch  2, Batch    504, Loss  0.865521, Average Loss  0.873900, Time  0.237950
2021-09-22 03:12:47.675914 : Epoch  2, Batch    505, Loss  0.843203, Average Loss  0.873703, Time  0.239498
2021-09-22 03:12:50.343887 : Epoch  2, Batch    506, Loss  0.877049, Average Loss  0.873785, Time  0.237155
2021-09-22 03:12:53.004863 : Epoch  2, Batch    507, Loss  0.884446, Average Loss  0.873936, Time  0.237284
2021-09-22 03:12:55.660614 : Epoch  2, Batch    508, Loss  0.880148, Average Loss  0.874053, Time  0.236404
2021-09-22 03:12:58.333245 : Epoch  2, Batch    509, Loss  0.868653, Average Loss  0.874057, Time  0.236565
2021-09-22 03:13:00.991572 : Epoch  2, Batch    510, Loss  0.880772, Average Loss  0.874137, Time  0.236447
2021-09-22 03:13:03.665855 : Epoch  2, Batch    511, Loss  0.881573, Average Loss  0.874108, Time  0.237152
2021-09-22 03:13:06.318725 : Epoch  2, Batch    512, Loss  0.866313, Average Loss  0.874005, Time  0.236196
2021-09-22 03:13:09.014881 : Epoch  2, Batch    513, Loss  0.866558, Average Loss  0.873940, Time  0.236567
2021-09-22 03:13:11.654395 : Epoch  2, Batch    514, Loss  0.892976, Average Loss  0.874005, Time  0.236340
2021-09-22 03:13:14.320901 : Epoch  2, Batch    515, Loss  0.859913, Average Loss  0.874007, Time  0.236750
2021-09-22 03:13:16.999057 : Epoch  2, Batch    516, Loss  0.884867, Average Loss  0.874129, Time  0.236843
2021-09-22 03:13:19.656550 : Epoch  2, Batch    517, Loss  0.872517, Average Loss  0.874109, Time  0.236938
2021-09-22 03:13:22.345976 : Epoch  2, Batch    518, Loss  0.846419, Average Loss  0.874061, Time  0.236480
2021-09-22 03:13:25.008348 : Epoch  2, Batch    519, Loss  0.866772, Average Loss  0.874049, Time  0.237029
2021-09-22 03:13:27.660000 : Epoch  2, Batch    520, Loss  0.866930, Average Loss  0.873961, Time  0.236557
2021-09-22 03:13:30.314252 : Epoch  2, Batch    521, Loss  0.882303, Average Loss  0.873950, Time  0.236104
2021-09-22 03:13:32.998139 : Epoch  2, Batch    522, Loss  0.877914, Average Loss  0.873940, Time  0.237259
2021-09-22 03:13:35.649802 : Epoch  2, Batch    523, Loss  0.860679, Average Loss  0.873830, Time  0.237096
2021-09-22 03:13:38.304390 : Epoch  2, Batch    524, Loss  0.870967, Average Loss  0.873674, Time  0.235293
2021-09-22 03:13:40.961337 : Epoch  2, Batch    525, Loss  0.891280, Average Loss  0.873775, Time  0.237401
2021-09-22 03:13:43.619981 : Epoch  2, Batch    526, Loss  0.858438, Average Loss  0.873765, Time  0.236507
2021-09-22 03:13:46.269184 : Epoch  2, Batch    527, Loss  0.883193, Average Loss  0.873810, Time  0.236081
2021-09-22 03:13:48.932839 : Epoch  2, Batch    528, Loss  0.874025, Average Loss  0.873653, Time  0.236788
2021-09-22 03:13:51.649484 : Epoch  2, Batch    529, Loss  0.876173, Average Loss  0.873702, Time  0.236811
2021-09-22 03:13:54.335664 : Epoch  2, Batch    530, Loss  0.868451, Average Loss  0.873629, Time  0.237028
2021-09-22 03:13:57.011602 : Epoch  2, Batch    531, Loss  0.869893, Average Loss  0.873554, Time  0.237367
2021-09-22 03:13:59.676864 : Epoch  2, Batch    532, Loss  0.858856, Average Loss  0.873442, Time  0.235960
2021-09-22 03:14:02.330908 : Epoch  2, Batch    533, Loss  0.884404, Average Loss  0.873654, Time  0.236582
2021-09-22 03:14:04.995863 : Epoch  2, Batch    534, Loss  0.894849, Average Loss  0.873758, Time  0.236923
2021-09-22 03:14:07.662399 : Epoch  2, Batch    535, Loss  0.880357, Average Loss  0.873735, Time  0.236686
2021-09-22 03:14:10.327841 : Epoch  2, Batch    536, Loss  0.869827, Average Loss  0.873754, Time  0.237068
2021-09-22 03:14:12.982606 : Epoch  2, Batch    537, Loss  0.886683, Average Loss  0.873859, Time  0.236632
2021-09-22 03:14:15.638978 : Epoch  2, Batch    538, Loss  0.866783, Average Loss  0.873934, Time  0.236750
2021-09-22 03:14:18.296423 : Epoch  2, Batch    539, Loss  0.860600, Average Loss  0.873891, Time  0.236068
2021-09-22 03:14:20.953185 : Epoch  2, Batch    540, Loss  0.886147, Average Loss  0.873915, Time  0.236592
2021-09-22 03:14:23.617630 : Epoch  2, Batch    541, Loss  0.879121, Average Loss  0.874037, Time  0.237153
2021-09-22 03:14:26.275132 : Epoch  2, Batch    542, Loss  0.880358, Average Loss  0.874130, Time  0.237992
2021-09-22 03:14:28.932412 : Epoch  2, Batch    543, Loss  0.873525, Average Loss  0.874110, Time  0.236623
2021-09-22 03:14:31.601836 : Epoch  2, Batch    544, Loss  0.879714, Average Loss  0.874101, Time  0.236232
2021-09-22 03:18:41.455590 : CheckPoint: Validation Loss  0.00030921, Best Loss  0.00029833
2021-09-22 03:18:44.105058 : Epoch  2, Batch    545, Loss  0.874390, Average Loss  0.874094, Time  0.238267
2021-09-22 03:18:46.760899 : Epoch  2, Batch    546, Loss  0.862871, Average Loss  0.874126, Time  0.236336
2021-09-22 03:18:49.413977 : Epoch  2, Batch    547, Loss  0.881231, Average Loss  0.874160, Time  0.236658
2021-09-22 03:18:52.063629 : Epoch  2, Batch    548, Loss  0.876659, Average Loss  0.874185, Time  0.236460
2021-09-22 03:18:54.725035 : Epoch  2, Batch    549, Loss  0.871711, Average Loss  0.874161, Time  0.236510
2021-09-22 03:18:57.391120 : Epoch  2, Batch    550, Loss  0.898541, Average Loss  0.874326, Time  0.236684
2021-09-22 03:19:00.051733 : Epoch  2, Batch    551, Loss  0.861574, Average Loss  0.874238, Time  0.236046
2021-09-22 03:19:02.802798 : Epoch  2, Batch    552, Loss  0.853180, Average Loss  0.874136, Time  0.236405
2021-09-22 03:19:05.484414 : Epoch  2, Batch    553, Loss  0.888697, Average Loss  0.874203, Time  0.236351
2021-09-22 03:19:08.138212 : Epoch  2, Batch    554, Loss  0.857938, Average Loss  0.874130, Time  0.236817
2021-09-22 03:19:10.797988 : Epoch  2, Batch    555, Loss  0.856368, Average Loss  0.874144, Time  0.236148
2021-09-22 03:19:13.450716 : Epoch  2, Batch    556, Loss  0.869037, Average Loss  0.874049, Time  0.236757
2021-09-22 03:19:16.114401 : Epoch  2, Batch    557, Loss  0.862901, Average Loss  0.874057, Time  0.235885
2021-09-22 03:19:18.772974 : Epoch  2, Batch    558, Loss  0.898746, Average Loss  0.874132, Time  0.238725
2021-09-22 03:19:21.419042 : Epoch  2, Batch    559, Loss  0.878991, Average Loss  0.874170, Time  0.236536
2021-09-22 03:19:24.086921 : Epoch  2, Batch    560, Loss  0.899502, Average Loss  0.874223, Time  0.237187
2021-09-22 03:19:26.753446 : Epoch  2, Batch    561, Loss  0.870897, Average Loss  0.874176, Time  0.235729
2021-09-22 03:19:29.416006 : Epoch  2, Batch    562, Loss  0.872431, Average Loss  0.874138, Time  0.236731
2021-09-22 03:19:32.073880 : Epoch  2, Batch    563, Loss  0.868396, Average Loss  0.874122, Time  0.237482
2021-09-22 03:19:34.747005 : Epoch  2, Batch    564, Loss  0.887629, Average Loss  0.874202, Time  0.235987
2021-09-22 03:19:37.405925 : Epoch  2, Batch    565, Loss  0.868703, Average Loss  0.874154, Time  0.237006
2021-09-22 03:19:40.054929 : Epoch  2, Batch    566, Loss  0.883307, Average Loss  0.874148, Time  0.236782
2021-09-22 03:19:42.723903 : Epoch  2, Batch    567, Loss  0.872174, Average Loss  0.874204, Time  0.236488
2021-09-22 03:19:45.358189 : Epoch  2, Batch    568, Loss  0.872675, Average Loss  0.874125, Time  0.236699
2021-09-22 03:19:47.994039 : Epoch  2, Batch    569, Loss  0.853453, Average Loss  0.873932, Time  0.236349
2021-09-22 03:19:50.635111 : Epoch  2, Batch    570, Loss  0.876685, Average Loss  0.873925, Time  0.235816
2021-09-22 03:19:53.274398 : Epoch  2, Batch    571, Loss  0.854258, Average Loss  0.873745, Time  0.235834
2021-09-22 03:19:55.908373 : Epoch  2, Batch    572, Loss  0.872974, Average Loss  0.873715, Time  0.236102
2021-09-22 03:19:58.532088 : Epoch  2, Batch    573, Loss  0.875948, Average Loss  0.873640, Time  0.236415
2021-09-22 03:20:01.152396 : Epoch  2, Batch    574, Loss  0.877827, Average Loss  0.873583, Time  0.235601
2021-09-22 03:20:03.798780 : Epoch  2, Batch    575, Loss  0.894459, Average Loss  0.873710, Time  0.236324
2021-09-22 03:20:06.431872 : Epoch  2, Batch    576, Loss  0.853403, Average Loss  0.873561, Time  0.235736
2021-09-22 03:20:09.076954 : Epoch  2, Batch    577, Loss  0.883298, Average Loss  0.873631, Time  0.238534
2021-09-22 03:20:11.717238 : Epoch  2, Batch    578, Loss  0.860897, Average Loss  0.873591, Time  0.237054
2021-09-22 03:20:14.362048 : Epoch  2, Batch    579, Loss  0.910297, Average Loss  0.873787, Time  0.236791
2021-09-22 03:20:17.004787 : Epoch  2, Batch    580, Loss  0.866234, Average Loss  0.873825, Time  0.238148
2021-09-22 03:20:19.640701 : Epoch  2, Batch    581, Loss  0.869752, Average Loss  0.873918, Time  0.236179
2021-09-22 03:20:22.290480 : Epoch  2, Batch    582, Loss  0.850616, Average Loss  0.873692, Time  0.237810
2021-09-22 03:20:24.937441 : Epoch  2, Batch    583, Loss  0.882562, Average Loss  0.873805, Time  0.236196
2021-09-22 03:20:27.591380 : Epoch  2, Batch    584, Loss  0.900484, Average Loss  0.873935, Time  0.235804
2021-09-22 03:20:30.222883 : Epoch  2, Batch    585, Loss  0.876535, Average Loss  0.873996, Time  0.236957
2021-09-22 03:20:32.859956 : Epoch  2, Batch    586, Loss  0.856444, Average Loss  0.873982, Time  0.240227
2021-09-22 03:20:35.502083 : Epoch  2, Batch    587, Loss  0.861052, Average Loss  0.873965, Time  0.236173
2021-09-22 03:20:38.126980 : Epoch  2, Batch    588, Loss  0.855552, Average Loss  0.873875, Time  0.235759
2021-09-22 03:20:40.766600 : Epoch  2, Batch    589, Loss  0.870263, Average Loss  0.873892, Time  0.236786
2021-09-22 03:20:43.414042 : Epoch  2, Batch    590, Loss  0.889905, Average Loss  0.873994, Time  0.237464
2021-09-22 03:20:46.060865 : Epoch  2, Batch    591, Loss  0.858907, Average Loss  0.873890, Time  0.237053
2021-09-22 03:20:48.724381 : Epoch  2, Batch    592, Loss  0.867513, Average Loss  0.873830, Time  0.236274
2021-09-22 03:20:51.365926 : Epoch  2, Batch    593, Loss  0.868612, Average Loss  0.873799, Time  0.236339
2021-09-22 03:20:54.039964 : Epoch  2, Batch    594, Loss  0.876674, Average Loss  0.873802, Time  0.238577
2021-09-22 03:20:56.701422 : Epoch  2, Batch    595, Loss  0.872310, Average Loss  0.873701, Time  0.236727
2021-09-22 03:20:59.364419 : Epoch  2, Batch    596, Loss  0.874792, Average Loss  0.873767, Time  0.236936
2021-09-22 03:21:02.028975 : Epoch  2, Batch    597, Loss  0.852991, Average Loss  0.873732, Time  0.236772
2021-09-22 03:21:04.706407 : Epoch  2, Batch    598, Loss  0.857556, Average Loss  0.873619, Time  0.237181
2021-09-22 03:21:07.406038 : Epoch  2, Batch    599, Loss  0.863527, Average Loss  0.873726, Time  0.241799
2021-09-22 03:21:10.111719 : Epoch  2, Batch    600, Loss  0.888152, Average Loss  0.873736, Time  0.256540
2021-09-22 03:21:12.796501 : Epoch  2, Batch    601, Loss  0.862489, Average Loss  0.873659, Time  0.240727
2021-09-22 03:21:15.468067 : Epoch  2, Batch    602, Loss  0.880692, Average Loss  0.873668, Time  0.236988
2021-09-22 03:21:18.125226 : Epoch  2, Batch    603, Loss  0.883713, Average Loss  0.873630, Time  0.239159
2021-09-22 03:21:20.786025 : Epoch  2, Batch    604, Loss  0.869031, Average Loss  0.873653, Time  0.236708
2021-09-22 03:21:23.446287 : Epoch  2, Batch    605, Loss  0.856895, Average Loss  0.873558, Time  0.236594
2021-09-22 03:21:26.146464 : Epoch  2, Batch    606, Loss  0.864698, Average Loss  0.873462, Time  0.238744
2021-09-22 03:21:28.805437 : Epoch  2, Batch    607, Loss  0.866401, Average Loss  0.873341, Time  0.236121
2021-09-22 03:21:31.478430 : Epoch  2, Batch    608, Loss  0.887249, Average Loss  0.873376, Time  0.235789
2021-09-22 03:21:34.189473 : Epoch  2, Batch    609, Loss  0.860024, Average Loss  0.873403, Time  0.239150
2021-09-22 03:21:36.880432 : Epoch  2, Batch    610, Loss  0.867446, Average Loss  0.873385, Time  0.236729
2021-09-22 03:21:39.544236 : Epoch  2, Batch    611, Loss  0.854071, Average Loss  0.873219, Time  0.236777
2021-09-22 03:21:42.214760 : Epoch  2, Batch    612, Loss  0.878771, Average Loss  0.873270, Time  0.237394
2021-09-22 03:21:44.879138 : Epoch  2, Batch    613, Loss  0.881645, Average Loss  0.873366, Time  0.237773
2021-09-22 03:21:47.541579 : Epoch  2, Batch    614, Loss  0.861997, Average Loss  0.873367, Time  0.235811
2021-09-22 03:21:50.207083 : Epoch  2, Batch    615, Loss  0.867126, Average Loss  0.873321, Time  0.236620
2021-09-22 03:21:52.866709 : Epoch  2, Batch    616, Loss  0.881078, Average Loss  0.873290, Time  0.236635
2021-09-22 03:21:55.532494 : Epoch  2, Batch    617, Loss  0.888570, Average Loss  0.873337, Time  0.238548
2021-09-22 03:21:58.194104 : Epoch  2, Batch    618, Loss  0.865697, Average Loss  0.873248, Time  0.237338
2021-09-22 03:22:00.846942 : Epoch  2, Batch    619, Loss  0.886765, Average Loss  0.873433, Time  0.236423
2021-09-22 03:22:03.504237 : Epoch  2, Batch    620, Loss  0.876480, Average Loss  0.873326, Time  0.236569
2021-09-22 03:22:06.173058 : Epoch  2, Batch    621, Loss  0.875662, Average Loss  0.873313, Time  0.236786
2021-09-22 03:22:08.882434 : Epoch  2, Batch    622, Loss  0.855736, Average Loss  0.873236, Time  0.237072
2021-09-22 03:22:11.632497 : Epoch  2, Batch    623, Loss  0.873694, Average Loss  0.873125, Time  0.238147
2021-09-22 03:22:14.299961 : Epoch  2, Batch    624, Loss  0.891317, Average Loss  0.873158, Time  0.237718
2021-09-22 03:22:16.955234 : Epoch  2, Batch    625, Loss  0.867640, Average Loss  0.873144, Time  0.236220
2021-09-22 03:22:19.616037 : Epoch  2, Batch    626, Loss  0.871942, Average Loss  0.873126, Time  0.236489
2021-09-22 03:22:22.268563 : Epoch  2, Batch    627, Loss  0.874655, Average Loss  0.873106, Time  0.236048
2021-09-22 03:22:24.923402 : Epoch  2, Batch    628, Loss  0.889144, Average Loss  0.873154, Time  0.236374
2021-09-22 03:22:27.586084 : Epoch  2, Batch    629, Loss  0.862426, Average Loss  0.873155, Time  0.238034
2021-09-22 03:22:30.233034 : Epoch  2, Batch    630, Loss  0.887283, Average Loss  0.873158, Time  0.237178
2021-09-22 03:22:32.902832 : Epoch  2, Batch    631, Loss  0.881414, Average Loss  0.873195, Time  0.236806
2021-09-22 03:22:35.542563 : Epoch  2, Batch    632, Loss  0.880844, Average Loss  0.873232, Time  0.236142
2021-09-22 03:22:38.197533 : Epoch  2, Batch    633, Loss  0.886652, Average Loss  0.873361, Time  0.236490
2021-09-22 03:22:40.846383 : Epoch  2, Batch    634, Loss  0.846985, Average Loss  0.873198, Time  0.236591
2021-09-22 03:22:43.503215 : Epoch  2, Batch    635, Loss  0.880780, Average Loss  0.873198, Time  0.236717
2021-09-22 03:22:46.174573 : Epoch  2, Batch    636, Loss  0.860199, Average Loss  0.873198, Time  0.236492
2021-09-22 03:22:48.838399 : Epoch  2, Batch    637, Loss  0.849496, Average Loss  0.872933, Time  0.237676
2021-09-22 03:22:51.491740 : Epoch  2, Batch    638, Loss  0.882144, Average Loss  0.872879, Time  0.237226
2021-09-22 03:22:54.162936 : Epoch  2, Batch    639, Loss  0.876221, Average Loss  0.872960, Time  0.237111
2021-09-22 03:22:56.825832 : Epoch  2, Batch    640, Loss  0.883274, Average Loss  0.873006, Time  0.236357
2021-09-22 03:22:59.500616 : Epoch  2, Batch    641, Loss  0.863131, Average Loss  0.872906, Time  0.236313
2021-09-22 03:23:02.182049 : Epoch  2, Batch    642, Loss  0.856182, Average Loss  0.872786, Time  0.236963
2021-09-22 03:23:04.846405 : Epoch  2, Batch    643, Loss  0.870662, Average Loss  0.872760, Time  0.236764
2021-09-22 03:23:07.507079 : Epoch  2, Batch    644, Loss  0.873243, Average Loss  0.872788, Time  0.235887
2021-09-22 03:27:18.151757 : CheckPoint: Validation Loss  0.00029914, Best Loss  0.00029833
2021-09-22 03:27:20.802379 : Epoch  2, Batch    645, Loss  0.865373, Average Loss  0.872684, Time  0.237916
2021-09-22 03:27:23.457557 : Epoch  2, Batch    646, Loss  0.876983, Average Loss  0.872776, Time  0.236239
2021-09-22 03:27:26.117463 : Epoch  2, Batch    647, Loss  0.879649, Average Loss  0.872782, Time  0.236336
2021-09-22 03:27:28.781392 : Epoch  2, Batch    648, Loss  0.879398, Average Loss  0.872797, Time  0.236240
2021-09-22 03:27:31.437838 : Epoch  2, Batch    649, Loss  0.890882, Average Loss  0.872922, Time  0.236358
2021-09-22 03:27:34.093417 : Epoch  2, Batch    650, Loss  0.880962, Average Loss  0.872927, Time  0.236435
2021-09-22 03:27:36.766378 : Epoch  2, Batch    651, Loss  0.868530, Average Loss  0.872931, Time  0.236974
2021-09-22 03:27:39.427590 : Epoch  2, Batch    652, Loss  0.859388, Average Loss  0.872936, Time  0.236088
2021-09-22 03:27:42.157077 : Epoch  2, Batch    653, Loss  0.867497, Average Loss  0.872961, Time  0.237572
2021-09-22 03:27:44.813984 : Epoch  2, Batch    654, Loss  0.871946, Average Loss  0.872988, Time  0.236390
2021-09-22 03:27:47.464411 : Epoch  2, Batch    655, Loss  0.844608, Average Loss  0.872843, Time  0.235825
2021-09-22 03:27:50.131409 : Epoch  2, Batch    656, Loss  0.866047, Average Loss  0.872839, Time  0.236365
2021-09-22 03:27:52.846936 : Epoch  2, Batch    657, Loss  0.861461, Average Loss  0.872795, Time  0.262400
2021-09-22 03:27:55.507550 : Epoch  2, Batch    658, Loss  0.859642, Average Loss  0.872676, Time  0.236688
2021-09-22 03:27:58.163530 : Epoch  2, Batch    659, Loss  0.870468, Average Loss  0.872646, Time  0.236725
2021-09-22 03:28:00.812558 : Epoch  2, Batch    660, Loss  0.863085, Average Loss  0.872578, Time  0.236152
2021-09-22 03:28:03.469186 : Epoch  2, Batch    661, Loss  0.881498, Average Loss  0.872732, Time  0.236695
2021-09-22 03:28:06.151564 : Epoch  2, Batch    662, Loss  0.880805, Average Loss  0.872662, Time  0.235974
2021-09-22 03:28:08.818374 : Epoch  2, Batch    663, Loss  0.885899, Average Loss  0.872823, Time  0.237076
2021-09-22 03:28:11.477401 : Epoch  2, Batch    664, Loss  0.868812, Average Loss  0.872861, Time  0.236639
2021-09-22 03:28:14.129496 : Epoch  2, Batch    665, Loss  0.879716, Average Loss  0.872765, Time  0.236279
2021-09-22 03:28:16.777167 : Epoch  2, Batch    666, Loss  0.866626, Average Loss  0.872688, Time  0.236292
2021-09-22 03:28:19.435918 : Epoch  2, Batch    667, Loss  0.867937, Average Loss  0.872664, Time  0.236037
2021-09-22 03:28:22.079413 : Epoch  2, Batch    668, Loss  0.870727, Average Loss  0.872744, Time  0.235604
2021-09-22 03:28:24.746431 : Epoch  2, Batch    669, Loss  0.874102, Average Loss  0.872778, Time  0.236645
2021-09-22 03:28:27.411421 : Epoch  2, Batch    670, Loss  0.889341, Average Loss  0.872742, Time  0.236630
2021-09-22 03:28:30.074410 : Epoch  2, Batch    671, Loss  0.877378, Average Loss  0.872805, Time  0.236193
2021-09-22 03:28:32.711430 : Epoch  2, Batch    672, Loss  0.855111, Average Loss  0.872678, Time  0.235876
2021-09-22 03:28:35.353054 : Epoch  2, Batch    673, Loss  0.881953, Average Loss  0.872685, Time  0.237233
2021-09-22 03:28:38.002579 : Epoch  2, Batch    674, Loss  0.873159, Average Loss  0.872651, Time  0.236548
2021-09-22 03:28:40.652457 : Epoch  2, Batch    675, Loss  0.878818, Average Loss  0.872840, Time  0.236439
2021-09-22 03:28:43.288851 : Epoch  2, Batch    676, Loss  0.863028, Average Loss  0.872758, Time  0.236220
2021-09-22 03:28:45.932182 : Epoch  2, Batch    677, Loss  0.880538, Average Loss  0.872762, Time  0.236604
2021-09-22 03:28:48.559063 : Epoch  2, Batch    678, Loss  0.877189, Average Loss  0.872894, Time  0.235720
2021-09-22 03:28:51.212334 : Epoch  2, Batch    679, Loss  0.861221, Average Loss  0.872938, Time  0.235816
2021-09-22 03:28:53.850231 : Epoch  2, Batch    680, Loss  0.867598, Average Loss  0.872882, Time  0.236092
2021-09-22 03:28:56.486117 : Epoch  2, Batch    681, Loss  0.884999, Average Loss  0.872897, Time  0.236650
2021-09-22 03:28:59.164399 : Epoch  2, Batch    682, Loss  0.859510, Average Loss  0.872716, Time  0.235582
2021-09-22 03:29:01.802938 : Epoch  2, Batch    683, Loss  0.861345, Average Loss  0.872691, Time  0.236633
2021-09-22 03:29:04.435215 : Epoch  2, Batch    684, Loss  0.857882, Average Loss  0.872533, Time  0.235651
2021-09-22 03:29:07.100392 : Epoch  2, Batch    685, Loss  0.888872, Average Loss  0.872566, Time  0.236428
2021-09-22 03:29:09.750911 : Epoch  2, Batch    686, Loss  0.873184, Average Loss  0.872573, Time  0.236089
2021-09-22 03:29:12.391142 : Epoch  2, Batch    687, Loss  0.880885, Average Loss  0.872580, Time  0.235918
2021-09-22 03:29:15.063949 : Epoch  2, Batch    688, Loss  0.891084, Average Loss  0.872644, Time  0.237369
2021-09-22 03:29:17.712380 : Epoch  2, Batch    689, Loss  0.871815, Average Loss  0.872577, Time  0.238029
2021-09-22 03:29:20.378587 : Epoch  2, Batch    690, Loss  0.882329, Average Loss  0.872625, Time  0.235630
2021-09-22 03:29:23.008553 : Epoch  2, Batch    691, Loss  0.862714, Average Loss  0.872631, Time  0.236455
2021-09-22 03:29:25.651393 : Epoch  2, Batch    692, Loss  0.898326, Average Loss  0.872721, Time  0.236740
2021-09-22 03:29:28.294438 : Epoch  2, Batch    693, Loss  0.853026, Average Loss  0.872638, Time  0.235566
2021-09-22 03:29:30.947418 : Epoch  2, Batch    694, Loss  0.889860, Average Loss  0.872698, Time  0.236176
2021-09-22 03:29:33.601388 : Epoch  2, Batch    695, Loss  0.889831, Average Loss  0.872773, Time  0.236432
2021-09-22 03:29:36.260449 : Epoch  2, Batch    696, Loss  0.869153, Average Loss  0.872688, Time  0.236777
2021-09-22 03:29:38.941249 : Epoch  2, Batch    697, Loss  0.865856, Average Loss  0.872766, Time  0.236841
2021-09-22 03:29:41.602473 : Epoch  2, Batch    698, Loss  0.873543, Average Loss  0.872750, Time  0.236573
2021-09-22 03:29:44.261475 : Epoch  2, Batch    699, Loss  0.863810, Average Loss  0.872787, Time  0.236744
2021-09-22 03:29:46.915746 : Epoch  2, Batch    700, Loss  0.868087, Average Loss  0.872777, Time  0.235963
2021-09-22 03:29:49.577426 : Epoch  2, Batch    701, Loss  0.866765, Average Loss  0.872792, Time  0.236861
2021-09-22 03:29:52.232554 : Epoch  2, Batch    702, Loss  0.884772, Average Loss  0.872894, Time  0.237063
2021-09-22 03:29:54.897390 : Epoch  2, Batch    703, Loss  0.869892, Average Loss  0.872791, Time  0.236014
2021-09-22 03:29:57.543920 : Epoch  2, Batch    704, Loss  0.863393, Average Loss  0.872780, Time  0.236433
2021-09-22 03:30:00.211187 : Epoch  2, Batch    705, Loss  0.879852, Average Loss  0.872963, Time  0.235983
2021-09-22 03:30:02.875410 : Epoch  2, Batch    706, Loss  0.862223, Average Loss  0.872889, Time  0.236639
2021-09-22 03:30:05.533903 : Epoch  2, Batch    707, Loss  0.851541, Average Loss  0.872725, Time  0.236477
2021-09-22 03:30:08.178390 : Epoch  2, Batch    708, Loss  0.872684, Average Loss  0.872687, Time  0.235789
2021-09-22 03:30:10.833718 : Epoch  2, Batch    709, Loss  0.867584, Average Loss  0.872682, Time  0.236332
2021-09-22 03:30:13.481231 : Epoch  2, Batch    710, Loss  0.882507, Average Loss  0.872691, Time  0.235896
2021-09-22 03:30:16.151904 : Epoch  2, Batch    711, Loss  0.866621, Average Loss  0.872616, Time  0.236923
2021-09-22 03:30:18.805825 : Epoch  2, Batch    712, Loss  0.863162, Average Loss  0.872600, Time  0.237065
2021-09-22 03:30:21.454409 : Epoch  2, Batch    713, Loss  0.867303, Average Loss  0.872604, Time  0.236235
2021-09-22 03:30:24.095032 : Epoch  2, Batch    714, Loss  0.860723, Average Loss  0.872443, Time  0.237099
2021-09-22 03:30:26.769395 : Epoch  2, Batch    715, Loss  0.859091, Average Loss  0.872438, Time  0.236032
2021-09-22 03:30:29.422431 : Epoch  2, Batch    716, Loss  0.879283, Average Loss  0.872411, Time  0.238200
2021-09-22 03:30:32.085395 : Epoch  2, Batch    717, Loss  0.863993, Average Loss  0.872368, Time  0.235851
2021-09-22 03:30:34.744970 : Epoch  2, Batch    718, Loss  0.866724, Average Loss  0.872469, Time  0.237322
2021-09-22 03:30:37.402427 : Epoch  2, Batch    719, Loss  0.868551, Average Loss  0.872478, Time  0.237156
2021-09-22 03:30:40.056164 : Epoch  2, Batch    720, Loss  0.865668, Average Loss  0.872472, Time  0.236494
2021-09-22 03:30:42.718624 : Epoch  2, Batch    721, Loss  0.870924, Average Loss  0.872415, Time  0.237492
2021-09-22 03:30:45.366759 : Epoch  2, Batch    722, Loss  0.869159, Average Loss  0.872371, Time  0.236495
2021-09-22 03:30:48.016770 : Epoch  2, Batch    723, Loss  0.866338, Average Loss  0.872400, Time  0.236841
2021-09-22 03:30:50.681425 : Epoch  2, Batch    724, Loss  0.875032, Average Loss  0.872420, Time  0.236807
2021-09-22 03:30:53.335744 : Epoch  2, Batch    725, Loss  0.880073, Average Loss  0.872364, Time  0.236590
2021-09-22 03:30:55.983976 : Epoch  2, Batch    726, Loss  0.882092, Average Loss  0.872482, Time  0.236657
2021-09-22 03:30:58.633378 : Epoch  2, Batch    727, Loss  0.877000, Average Loss  0.872451, Time  0.236338
2021-09-22 03:31:01.288151 : Epoch  2, Batch    728, Loss  0.878510, Average Loss  0.872474, Time  0.236494
2021-09-22 03:31:03.938978 : Epoch  2, Batch    729, Loss  0.890217, Average Loss  0.872544, Time  0.236895
2021-09-22 03:31:06.624858 : Epoch  2, Batch    730, Loss  0.863625, Average Loss  0.872520, Time  0.236317
2021-09-22 03:31:09.281429 : Epoch  2, Batch    731, Loss  0.870630, Average Loss  0.872523, Time  0.237146
2021-09-22 03:31:11.946396 : Epoch  2, Batch    732, Loss  0.855228, Average Loss  0.872505, Time  0.235881
2021-09-22 03:31:14.598255 : Epoch  2, Batch    733, Loss  0.882404, Average Loss  0.872495, Time  0.236499
2021-09-22 03:31:17.250564 : Epoch  2, Batch    734, Loss  0.866709, Average Loss  0.872355, Time  0.237426
2021-09-22 03:31:19.903565 : Epoch  2, Batch    735, Loss  0.864174, Average Loss  0.872274, Time  0.235837
2021-09-22 03:31:22.566571 : Epoch  2, Batch    736, Loss  0.838281, Average Loss  0.872116, Time  0.236856
2021-09-22 03:31:25.221396 : Epoch  2, Batch    737, Loss  0.878858, Average Loss  0.872077, Time  0.236318
2021-09-22 03:31:27.884830 : Epoch  2, Batch    738, Loss  0.879353, Average Loss  0.872140, Time  0.236768
2021-09-22 03:31:30.539296 : Epoch  2, Batch    739, Loss  0.886203, Average Loss  0.872268, Time  0.237082
2021-09-22 03:31:33.199409 : Epoch  2, Batch    740, Loss  0.892606, Average Loss  0.872300, Time  0.235594
2021-09-22 03:31:35.859598 : Epoch  2, Batch    741, Loss  0.851047, Average Loss  0.872160, Time  0.237604
2021-09-22 03:31:38.531924 : Epoch  2, Batch    742, Loss  0.854848, Average Loss  0.872032, Time  0.236001
2021-09-22 03:31:41.194469 : Epoch  2, Batch    743, Loss  0.887149, Average Loss  0.872100, Time  0.237274
2021-09-22 03:31:43.838298 : Epoch  2, Batch    744, Loss  0.868458, Average Loss  0.872044, Time  0.236407
2021-09-22 03:35:53.554373 : CheckPoint: Validation Loss  0.00030686, Best Loss  0.00029833
2021-09-22 03:35:56.213235 : Epoch  2, Batch    745, Loss  0.865121, Average Loss  0.871998, Time  0.238001
2021-09-22 03:35:58.906379 : Epoch  2, Batch    746, Loss  0.881196, Average Loss  0.872089, Time  0.236255
2021-09-22 03:36:01.562443 : Epoch  2, Batch    747, Loss  0.848793, Average Loss  0.871927, Time  0.236348
2021-09-22 03:36:04.224361 : Epoch  2, Batch    748, Loss  0.853969, Average Loss  0.871814, Time  0.235701
2021-09-22 03:36:06.879129 : Epoch  2, Batch    749, Loss  0.887912, Average Loss  0.871895, Time  0.236912
2021-09-22 03:36:09.527435 : Epoch  2, Batch    750, Loss  0.890109, Average Loss  0.871852, Time  0.235991
2021-09-22 03:36:12.178882 : Epoch  2, Batch    751, Loss  0.878772, Average Loss  0.871938, Time  0.236764
2021-09-22 03:36:14.831373 : Epoch  2, Batch    752, Loss  0.859217, Average Loss  0.871969, Time  0.236364
2021-09-22 03:36:17.497402 : Epoch  2, Batch    753, Loss  0.886309, Average Loss  0.871957, Time  0.237078
2021-09-22 03:36:20.150388 : Epoch  2, Batch    754, Loss  0.882915, Average Loss  0.872082, Time  0.236126
2021-09-22 03:36:22.793979 : Epoch  2, Batch    755, Loss  0.889110, Average Loss  0.872245, Time  0.237311
2021-09-22 03:36:25.447812 : Epoch  2, Batch    756, Loss  0.880667, Average Loss  0.872303, Time  0.237134
2021-09-22 03:36:28.098430 : Epoch  2, Batch    757, Loss  0.860040, Average Loss  0.872289, Time  0.235922
2021-09-22 03:36:30.773422 : Epoch  2, Batch    758, Loss  0.879943, Average Loss  0.872195, Time  0.235782
2021-09-22 03:36:33.487044 : Epoch  2, Batch    759, Loss  0.879706, Average Loss  0.872199, Time  0.236160
2021-09-22 03:36:36.188059 : Epoch  2, Batch    760, Loss  0.878205, Average Loss  0.872092, Time  0.245859
2021-09-22 03:36:38.865592 : Epoch  2, Batch    761, Loss  0.869278, Average Loss  0.872084, Time  0.236386
2021-09-22 03:36:41.513301 : Epoch  2, Batch    762, Loss  0.891482, Average Loss  0.872179, Time  0.237377
2021-09-22 03:36:44.181889 : Epoch  2, Batch    763, Loss  0.872157, Average Loss  0.872198, Time  0.236765
2021-09-22 03:36:46.860400 : Epoch  2, Batch    764, Loss  0.852960, Average Loss  0.872025, Time  0.235836
2021-09-22 03:36:49.513550 : Epoch  2, Batch    765, Loss  0.866490, Average Loss  0.872014, Time  0.236310
2021-09-22 03:36:52.199929 : Epoch  2, Batch    766, Loss  0.871818, Average Loss  0.871956, Time  0.236104
2021-09-22 03:36:54.855832 : Epoch  2, Batch    767, Loss  0.888125, Average Loss  0.872036, Time  0.236709
2021-09-22 03:36:57.507263 : Epoch  2, Batch    768, Loss  0.867920, Average Loss  0.872012, Time  0.236227
2021-09-22 03:37:00.161999 : Epoch  2, Batch    769, Loss  0.892049, Average Loss  0.872205, Time  0.236313
2021-09-22 03:37:02.816069 : Epoch  2, Batch    770, Loss  0.868712, Average Loss  0.872165, Time  0.236281
2021-09-22 03:37:05.477554 : Epoch  2, Batch    771, Loss  0.851569, Average Loss  0.872152, Time  0.236070
2021-09-22 03:37:08.147416 : Epoch  2, Batch    772, Loss  0.870107, Average Loss  0.872138, Time  0.235995
2021-09-22 03:37:10.817427 : Epoch  2, Batch    773, Loss  0.898440, Average Loss  0.872250, Time  0.236422
2021-09-22 03:37:13.487846 : Epoch  2, Batch    774, Loss  0.854572, Average Loss  0.872134, Time  0.236643
2021-09-22 03:37:16.143566 : Epoch  2, Batch    775, Loss  0.879428, Average Loss  0.872059, Time  0.236790
2021-09-22 03:37:18.794574 : Epoch  2, Batch    776, Loss  0.862666, Average Loss  0.872105, Time  0.237486
2021-09-22 03:37:21.454085 : Epoch  2, Batch    777, Loss  0.888825, Average Loss  0.872133, Time  0.236856
2021-09-22 03:37:24.137983 : Epoch  2, Batch    778, Loss  0.874161, Average Loss  0.872199, Time  0.238226
2021-09-22 03:37:26.824255 : Epoch  2, Batch    779, Loss  0.850219, Average Loss  0.871898, Time  0.236655
2021-09-22 03:37:29.511390 : Epoch  2, Batch    780, Loss  0.898221, Average Loss  0.872058, Time  0.236513
2021-09-22 03:37:32.168880 : Epoch  2, Batch    781, Loss  0.885172, Average Loss  0.872136, Time  0.236151
2021-09-22 03:37:34.854820 : Epoch  2, Batch    782, Loss  0.876639, Average Loss  0.872266, Time  0.236970
2021-09-22 03:37:37.534352 : Epoch  2, Batch    783, Loss  0.900618, Average Loss  0.872356, Time  0.236858
2021-09-22 03:37:40.217081 : Epoch  2, Batch    784, Loss  0.864699, Average Loss  0.872177, Time  0.236271
2021-09-22 03:37:42.905866 : Epoch  2, Batch    785, Loss  0.864735, Average Loss  0.872118, Time  0.236940
2021-09-22 03:37:45.557892 : Epoch  2, Batch    786, Loss  0.872949, Average Loss  0.872201, Time  0.236180
2021-09-22 03:37:48.219263 : Epoch  2, Batch    787, Loss  0.880573, Average Loss  0.872298, Time  0.236615
2021-09-22 03:37:50.930444 : Epoch  2, Batch    788, Loss  0.870493, Average Loss  0.872373, Time  0.236257
2021-09-22 03:37:53.579876 : Epoch  2, Batch    789, Loss  0.891363, Average Loss  0.872478, Time  0.237235
2021-09-22 03:37:56.244444 : Epoch  2, Batch    790, Loss  0.879407, Average Loss  0.872426, Time  0.235678
2021-09-22 03:37:58.897430 : Epoch  2, Batch    791, Loss  0.846153, Average Loss  0.872362, Time  0.236204
2021-09-22 03:38:01.566817 : Epoch  2, Batch    792, Loss  0.862943, Average Loss  0.872339, Time  0.237347
2021-09-22 03:38:04.216071 : Epoch  2, Batch    793, Loss  0.873807, Average Loss  0.872365, Time  0.236677
2021-09-22 03:38:06.877690 : Epoch  2, Batch    794, Loss  0.882470, Average Loss  0.872394, Time  0.235801
2021-09-22 03:38:09.534353 : Epoch  2, Batch    795, Loss  0.869175, Average Loss  0.872379, Time  0.236590
2021-09-22 03:38:12.191093 : Epoch  2, Batch    796, Loss  0.862462, Average Loss  0.872317, Time  0.236277
2021-09-22 03:38:14.874258 : Epoch  2, Batch    797, Loss  0.876416, Average Loss  0.872434, Time  0.237029
2021-09-22 03:38:17.560866 : Epoch  2, Batch    798, Loss  0.855264, Average Loss  0.872423, Time  0.237226
2021-09-22 03:38:20.230067 : Epoch  2, Batch    799, Loss  0.867428, Average Loss  0.872442, Time  0.237225
2021-09-22 03:38:22.894865 : Epoch  2, Batch    800, Loss  0.874148, Average Loss  0.872372, Time  0.236870
2021-09-22 03:38:25.553449 : Epoch  2, Batch    801, Loss  0.854785, Average Loss  0.872333, Time  0.237656
2021-09-22 03:38:28.202991 : Epoch  2, Batch    802, Loss  0.869701, Average Loss  0.872279, Time  0.236658
2021-09-22 03:38:30.841960 : Epoch  2, Batch    803, Loss  0.890095, Average Loss  0.872310, Time  0.237274
2021-09-22 03:38:33.499237 : Epoch  2, Batch    804, Loss  0.883917, Average Loss  0.872385, Time  0.236237
2021-09-22 03:38:36.157845 : Epoch  2, Batch    805, Loss  0.870975, Average Loss  0.872455, Time  0.236470
2021-09-22 03:38:38.834846 : Epoch  2, Batch    806, Loss  0.862562, Average Loss  0.872445, Time  0.236498
2021-09-22 03:38:41.502169 : Epoch  2, Batch    807, Loss  0.879980, Average Loss  0.872512, Time  0.235817
2021-09-22 03:38:44.153006 : Epoch  2, Batch    808, Loss  0.879403, Average Loss  0.872473, Time  0.235476
2021-09-22 03:38:46.805249 : Epoch  2, Batch    809, Loss  0.887605, Average Loss  0.872611, Time  0.236535
2021-09-22 03:38:49.460375 : Epoch  2, Batch    810, Loss  0.881580, Average Loss  0.872682, Time  0.236362
2021-09-22 03:38:52.105390 : Epoch  2, Batch    811, Loss  0.897941, Average Loss  0.872901, Time  0.236116
2021-09-22 03:38:54.758588 : Epoch  2, Batch    812, Loss  0.870145, Average Loss  0.872858, Time  0.236323
2021-09-22 03:38:57.416396 : Epoch  2, Batch    813, Loss  0.862160, Average Loss  0.872761, Time  0.235453
2021-09-22 03:39:00.067393 : Epoch  2, Batch    814, Loss  0.880758, Average Loss  0.872854, Time  0.235721
2021-09-22 03:39:02.719390 : Epoch  2, Batch    815, Loss  0.873211, Average Loss  0.872885, Time  0.236567
2021-09-22 03:39:05.369179 : Epoch  2, Batch    816, Loss  0.884622, Average Loss  0.872903, Time  0.236657
2021-09-22 03:39:08.034987 : Epoch  2, Batch    817, Loss  0.851774, Average Loss  0.872719, Time  0.236746
2021-09-22 03:39:10.679710 : Epoch  2, Batch    818, Loss  0.894427, Average Loss  0.872862, Time  0.237153
2021-09-22 03:39:13.332096 : Epoch  2, Batch    819, Loss  0.872578, Average Loss  0.872791, Time  0.236726
2021-09-22 03:39:15.995425 : Epoch  2, Batch    820, Loss  0.895360, Average Loss  0.872886, Time  0.236264
2021-09-22 03:39:18.652770 : Epoch  2, Batch    821, Loss  0.851947, Average Loss  0.872767, Time  0.237449
2021-09-22 03:39:21.309891 : Epoch  2, Batch    822, Loss  0.862990, Average Loss  0.872803, Time  0.237011
2021-09-22 03:39:23.975486 : Epoch  2, Batch    823, Loss  0.865287, Average Loss  0.872761, Time  0.236684
2021-09-22 03:39:26.658612 : Epoch  2, Batch    824, Loss  0.870231, Average Loss  0.872656, Time  0.237071
2021-09-22 03:39:29.313840 : Epoch  2, Batch    825, Loss  0.869065, Average Loss  0.872663, Time  0.236197
2021-09-22 03:39:31.968252 : Epoch  2, Batch    826, Loss  0.851288, Average Loss  0.872560, Time  0.236965
2021-09-22 03:39:34.613589 : Epoch  2, Batch    827, Loss  0.876823, Average Loss  0.872571, Time  0.236939
2021-09-22 03:39:37.247835 : Epoch  2, Batch    828, Loss  0.871837, Average Loss  0.872484, Time  0.235761
2021-09-22 03:39:39.876249 : Epoch  2, Batch    829, Loss  0.884759, Average Loss  0.872596, Time  0.235949
2021-09-22 03:39:42.514013 : Epoch  2, Batch    830, Loss  0.879875, Average Loss  0.872559, Time  0.236165
2021-09-22 03:39:45.143839 : Epoch  2, Batch    831, Loss  0.859684, Average Loss  0.872450, Time  0.235888
2021-09-22 03:39:47.768878 : Epoch  2, Batch    832, Loss  0.897789, Average Loss  0.872535, Time  0.235830
2021-09-22 03:39:50.401401 : Epoch  2, Batch    833, Loss  0.873117, Average Loss  0.872467, Time  0.235662
2021-09-22 03:39:53.032031 : Epoch  2, Batch    834, Loss  0.869304, Average Loss  0.872579, Time  0.236750
2021-09-22 03:39:55.656970 : Epoch  2, Batch    835, Loss  0.879251, Average Loss  0.872571, Time  0.236396
2021-09-22 03:39:58.301019 : Epoch  2, Batch    836, Loss  0.909089, Average Loss  0.872816, Time  0.235851
2021-09-22 03:40:00.940024 : Epoch  2, Batch    837, Loss  0.849454, Average Loss  0.872815, Time  0.236493
2021-09-22 03:40:03.570916 : Epoch  2, Batch    838, Loss  0.877399, Average Loss  0.872792, Time  0.236596
2021-09-22 03:40:06.204939 : Epoch  2, Batch    839, Loss  0.877891, Average Loss  0.872800, Time  0.236258
2021-09-22 03:40:08.821267 : Epoch  2, Batch    840, Loss  0.883546, Average Loss  0.872801, Time  0.235691
2021-09-22 03:40:11.444664 : Epoch  2, Batch    841, Loss  0.873390, Average Loss  0.872853, Time  0.237310
2021-09-22 03:40:14.069857 : Epoch  2, Batch    842, Loss  0.848250, Average Loss  0.872813, Time  0.235727
2021-09-22 03:40:16.696392 : Epoch  2, Batch    843, Loss  0.880575, Average Loss  0.872863, Time  0.235643
2021-09-22 03:40:19.328418 : Epoch  2, Batch    844, Loss  0.893765, Average Loss  0.872965, Time  0.236782
2021-09-22 03:44:38.500743 : CheckPoint: Validation Loss  0.00030283, Best Loss  0.00029833
2021-09-22 03:44:41.179008 : Epoch  2, Batch    845, Loss  0.870206, Average Loss  0.872989, Time  0.238385
2021-09-22 03:44:43.850070 : Epoch  2, Batch    846, Loss  0.885661, Average Loss  0.873033, Time  0.236204
2021-09-22 03:44:46.513786 : Epoch  2, Batch    847, Loss  0.887345, Average Loss  0.873071, Time  0.236808
2021-09-22 03:44:49.174404 : Epoch  2, Batch    848, Loss  0.873038, Average Loss  0.873039, Time  0.235845
2021-09-22 03:44:51.833382 : Epoch  2, Batch    849, Loss  0.863364, Average Loss  0.872902, Time  0.236310
2021-09-22 03:44:54.494917 : Epoch  2, Batch    850, Loss  0.871145, Average Loss  0.872853, Time  0.236726
2021-09-22 03:44:57.171001 : Epoch  2, Batch    851, Loss  0.878155, Average Loss  0.872901, Time  0.236898
2021-09-22 03:44:59.846404 : Epoch  2, Batch    852, Loss  0.870397, Average Loss  0.872956, Time  0.236103
2021-09-22 03:45:02.500042 : Epoch  2, Batch    853, Loss  0.857626, Average Loss  0.872906, Time  0.236003
2021-09-22 03:45:05.173620 : Epoch  2, Batch    854, Loss  0.869727, Average Loss  0.872895, Time  0.236284
2021-09-22 03:45:07.848900 : Epoch  2, Batch    855, Loss  0.868923, Average Loss  0.873017, Time  0.237054
2021-09-22 03:45:10.539276 : Epoch  2, Batch    856, Loss  0.881106, Average Loss  0.873092, Time  0.237142
2021-09-22 03:45:13.240423 : Epoch  2, Batch    857, Loss  0.865070, Average Loss  0.873110, Time  0.257872
2021-09-22 03:45:15.903429 : Epoch  2, Batch    858, Loss  0.867749, Average Loss  0.873151, Time  0.236243
2021-09-22 03:45:18.590577 : Epoch  2, Batch    859, Loss  0.873634, Average Loss  0.873167, Time  0.236494
2021-09-22 03:45:21.262414 : Epoch  2, Batch    860, Loss  0.879054, Average Loss  0.873247, Time  0.236770
2021-09-22 03:45:23.926396 : Epoch  2, Batch    861, Loss  0.890597, Average Loss  0.873292, Time  0.236487
2021-09-22 03:45:26.589009 : Epoch  2, Batch    862, Loss  0.867766, Average Loss  0.873227, Time  0.236946
2021-09-22 03:45:29.272728 : Epoch  2, Batch    863, Loss  0.877745, Average Loss  0.873186, Time  0.236686
2021-09-22 03:45:31.942602 : Epoch  2, Batch    864, Loss  0.878155, Average Loss  0.873233, Time  0.236873
2021-09-22 03:45:34.617387 : Epoch  2, Batch    865, Loss  0.905832, Average Loss  0.873363, Time  0.237587
2021-09-22 03:45:37.286209 : Epoch  2, Batch    866, Loss  0.885432, Average Loss  0.873457, Time  0.236158
2021-09-22 03:45:39.967164 : Epoch  2, Batch    867, Loss  0.879389, Average Loss  0.873515, Time  0.238091
2021-09-22 03:45:42.626405 : Epoch  2, Batch    868, Loss  0.891222, Average Loss  0.873617, Time  0.236466
2021-09-22 03:45:45.292894 : Epoch  2, Batch    869, Loss  0.892546, Average Loss  0.873709, Time  0.236253
2021-09-22 03:45:47.965114 : Epoch  2, Batch    870, Loss  0.885649, Average Loss  0.873691, Time  0.236179
2021-09-22 03:45:50.675723 : Epoch  2, Batch    871, Loss  0.870059, Average Loss  0.873654, Time  0.236837
2021-09-22 03:45:53.338361 : Epoch  2, Batch    872, Loss  0.882516, Average Loss  0.873791, Time  0.237259
2021-09-22 03:45:55.998556 : Epoch  2, Batch    873, Loss  0.868101, Average Loss  0.873722, Time  0.237258
2021-09-22 03:45:58.676175 : Epoch  2, Batch    874, Loss  0.880279, Average Loss  0.873758, Time  0.236011
2021-09-22 03:46:01.335889 : Epoch  2, Batch    875, Loss  0.897469, Average Loss  0.873851, Time  0.236527
2021-09-22 03:46:03.993227 : Epoch  2, Batch    876, Loss  0.860214, Average Loss  0.873837, Time  0.236003
2021-09-22 03:46:06.649880 : Epoch  2, Batch    877, Loss  0.863727, Average Loss  0.873753, Time  0.236269
2021-09-22 03:46:09.304231 : Epoch  2, Batch    878, Loss  0.864052, Average Loss  0.873687, Time  0.236752
2021-09-22 03:46:11.961980 : Epoch  2, Batch    879, Loss  0.864122, Average Loss  0.873702, Time  0.237345
2021-09-22 03:46:14.650738 : Epoch  2, Batch    880, Loss  0.866529, Average Loss  0.873696, Time  0.236138
2021-09-22 03:46:17.301395 : Epoch  2, Batch    881, Loss  0.859078, Average Loss  0.873567, Time  0.236253
2021-09-22 03:46:19.952595 : Epoch  2, Batch    882, Loss  0.874632, Average Loss  0.873642, Time  0.236469
2021-09-22 03:46:22.618401 : Epoch  2, Batch    883, Loss  0.861497, Average Loss  0.873643, Time  0.236973
2021-09-22 03:46:25.287604 : Epoch  2, Batch    884, Loss  0.864565, Average Loss  0.873676, Time  0.236237
2021-09-22 03:46:27.956351 : Epoch  2, Batch    885, Loss  0.860264, Average Loss  0.873533, Time  0.236741
2021-09-22 03:46:30.621922 : Epoch  2, Batch    886, Loss  0.863009, Average Loss  0.873483, Time  0.236645
2021-09-22 03:46:33.278105 : Epoch  2, Batch    887, Loss  0.853965, Average Loss  0.873348, Time  0.236043
2021-09-22 03:46:35.958406 : Epoch  2, Batch    888, Loss  0.877498, Average Loss  0.873280, Time  0.237031
2021-09-22 03:46:38.620414 : Epoch  2, Batch    889, Loss  0.877651, Average Loss  0.873309, Time  0.235721
2021-09-22 03:46:41.281560 : Epoch  2, Batch    890, Loss  0.863167, Average Loss  0.873213, Time  0.236907
2021-09-22 03:46:43.932936 : Epoch  2, Batch    891, Loss  0.881143, Average Loss  0.873305, Time  0.236692
2021-09-22 03:46:46.605040 : Epoch  2, Batch    892, Loss  0.891241, Average Loss  0.873270, Time  0.236759
2021-09-22 03:46:49.269840 : Epoch  2, Batch    893, Loss  0.877295, Average Loss  0.873391, Time  0.236922
2021-09-22 03:46:51.959793 : Epoch  2, Batch    894, Loss  0.860397, Average Loss  0.873244, Time  0.235813
2021-09-22 03:46:54.615973 : Epoch  2, Batch    895, Loss  0.874366, Average Loss  0.873167, Time  0.235894
2021-09-22 03:46:57.279106 : Epoch  2, Batch    896, Loss  0.862891, Average Loss  0.873135, Time  0.235858
2021-09-22 03:46:59.953185 : Epoch  2, Batch    897, Loss  0.886355, Average Loss  0.873238, Time  0.237155
2021-09-22 03:47:02.618808 : Epoch  2, Batch    898, Loss  0.861133, Average Loss  0.873176, Time  0.236569
2021-09-22 03:47:05.277136 : Epoch  2, Batch    899, Loss  0.886880, Average Loss  0.873291, Time  0.236611
2021-09-22 03:47:07.937735 : Epoch  2, Batch    900, Loss  0.853669, Average Loss  0.873219, Time  0.236537
2021-09-22 03:47:10.593058 : Epoch  2, Batch    901, Loss  0.873185, Average Loss  0.873251, Time  0.236160
2021-09-22 03:47:13.263596 : Epoch  2, Batch    902, Loss  0.869888, Average Loss  0.873177, Time  0.236061
2021-09-22 03:47:15.928379 : Epoch  2, Batch    903, Loss  0.885913, Average Loss  0.873257, Time  0.235915
2021-09-22 03:47:18.587036 : Epoch  2, Batch    904, Loss  0.870724, Average Loss  0.873294, Time  0.236562
2021-09-22 03:47:21.255002 : Epoch  2, Batch    905, Loss  0.860159, Average Loss  0.873195, Time  0.235865
2021-09-22 03:47:23.939577 : Epoch  2, Batch    906, Loss  0.892197, Average Loss  0.873345, Time  0.236300
2021-09-22 03:47:26.611032 : Epoch  2, Batch    907, Loss  0.853529, Average Loss  0.873355, Time  0.236488
2021-09-22 03:47:29.286028 : Epoch  2, Batch    908, Loss  0.869397, Average Loss  0.873339, Time  0.236463
2021-09-22 03:47:31.948020 : Epoch  2, Batch    909, Loss  0.875041, Average Loss  0.873376, Time  0.237062
2021-09-22 03:47:34.615888 : Epoch  2, Batch    910, Loss  0.879254, Average Loss  0.873360, Time  0.237270
2021-09-22 03:47:37.279417 : Epoch  2, Batch    911, Loss  0.867866, Average Loss  0.873366, Time  0.236088
2021-09-22 03:47:39.986973 : Epoch  2, Batch    912, Loss  0.880878, Average Loss  0.873454, Time  0.240838
2021-09-22 03:47:42.658034 : Epoch  2, Batch    913, Loss  0.887064, Average Loss  0.873553, Time  0.237866
2021-09-22 03:47:45.309088 : Epoch  2, Batch    914, Loss  0.867071, Average Loss  0.873585, Time  0.236296
2021-09-22 03:47:47.983291 : Epoch  2, Batch    915, Loss  0.869277, Average Loss  0.873636, Time  0.237080
2021-09-22 03:47:50.653406 : Epoch  2, Batch    916, Loss  0.866454, Average Loss  0.873572, Time  0.236281
2021-09-22 03:47:53.314906 : Epoch  2, Batch    917, Loss  0.866424, Average Loss  0.873584, Time  0.236716
2021-09-22 03:47:55.984426 : Epoch  2, Batch    918, Loss  0.874959, Average Loss  0.873625, Time  0.236233
2021-09-22 03:47:58.640678 : Epoch  2, Batch    919, Loss  0.874872, Average Loss  0.873657, Time  0.236653
2021-09-22 03:48:01.326866 : Epoch  2, Batch    920, Loss  0.868768, Average Loss  0.873672, Time  0.236618
2021-09-22 03:48:03.993209 : Epoch  2, Batch    921, Loss  0.853484, Average Loss  0.873585, Time  0.236419
2021-09-22 03:48:06.657984 : Epoch  2, Batch    922, Loss  0.890383, Average Loss  0.873691, Time  0.236773
2021-09-22 03:48:09.332157 : Epoch  2, Batch    923, Loss  0.864510, Average Loss  0.873682, Time  0.236490
2021-09-22 03:48:11.991431 : Epoch  2, Batch    924, Loss  0.866762, Average Loss  0.873641, Time  0.236103
2021-09-22 03:48:14.648900 : Epoch  2, Batch    925, Loss  0.874102, Average Loss  0.873611, Time  0.236616
2021-09-22 03:48:17.316941 : Epoch  2, Batch    926, Loss  0.869110, Average Loss  0.873546, Time  0.236234
2021-09-22 03:48:19.983955 : Epoch  2, Batch    927, Loss  0.862233, Average Loss  0.873472, Time  0.237826
2021-09-22 03:48:22.654048 : Epoch  2, Batch    928, Loss  0.868076, Average Loss  0.873420, Time  0.236127
2021-09-22 03:48:25.308828 : Epoch  2, Batch    929, Loss  0.855583, Average Loss  0.873247, Time  0.236785
2021-09-22 03:48:27.973897 : Epoch  2, Batch    930, Loss  0.868525, Average Loss  0.873271, Time  0.237590
2021-09-22 03:48:30.635625 : Epoch  2, Batch    931, Loss  0.876253, Average Loss  0.873299, Time  0.236821
2021-09-22 03:48:33.301992 : Epoch  2, Batch    932, Loss  0.873431, Average Loss  0.873390, Time  0.236487
2021-09-22 03:48:35.999040 : Epoch  2, Batch    933, Loss  0.849865, Average Loss  0.873228, Time  0.249559
2021-09-22 03:48:38.665419 : Epoch  2, Batch    934, Loss  0.866867, Average Loss  0.873228, Time  0.235796
2021-09-22 03:48:41.355728 : Epoch  2, Batch    935, Loss  0.872816, Average Loss  0.873272, Time  0.237063
2021-09-22 03:48:44.028841 : Epoch  2, Batch    936, Loss  0.877181, Average Loss  0.873466, Time  0.236275
2021-09-22 03:48:46.705390 : Epoch  2, Batch    937, Loss  0.869214, Average Loss  0.873418, Time  0.236264
2021-09-22 03:48:49.380441 : Epoch  2, Batch    938, Loss  0.859058, Average Loss  0.873316, Time  0.246195
2021-09-22 03:48:52.032383 : Epoch  2, Batch    939, Loss  0.876461, Average Loss  0.873268, Time  0.236580
2021-09-22 03:48:54.700263 : Epoch  2, Batch    940, Loss  0.864359, Average Loss  0.873126, Time  0.236697
2021-09-22 03:48:57.368946 : Epoch  2, Batch    941, Loss  0.871219, Average Loss  0.873227, Time  0.237029
2021-09-22 03:49:00.040042 : Epoch  2, Batch    942, Loss  0.857210, Average Loss  0.873239, Time  0.236739
2021-09-22 03:49:02.705147 : Epoch  2, Batch    943, Loss  0.868220, Average Loss  0.873144, Time  0.237136
2021-09-22 03:49:05.363026 : Epoch  2, Batch    944, Loss  0.874585, Average Loss  0.873175, Time  0.236101
2021-09-22 03:53:18.750536 : CheckPoint: Validation Loss  0.00031311, Best Loss  0.00029833
2021-09-22 03:53:21.446277 : Epoch  2, Batch    945, Loss  0.857717, Average Loss  0.873138, Time  0.267667
2021-09-22 03:53:24.113358 : Epoch  2, Batch    946, Loss  0.871730, Average Loss  0.873091, Time  0.248632
2021-09-22 03:53:26.776150 : Epoch  2, Batch    947, Loss  0.904088, Average Loss  0.873367, Time  0.237499
2021-09-22 03:53:29.444238 : Epoch  2, Batch    948, Loss  0.889157, Average Loss  0.873543, Time  0.235868
2021-09-22 03:53:32.103033 : Epoch  2, Batch    949, Loss  0.877341, Average Loss  0.873490, Time  0.236424
2021-09-22 03:53:34.755426 : Epoch  2, Batch    950, Loss  0.868566, Average Loss  0.873383, Time  0.236088
2021-09-22 03:53:37.408921 : Epoch  2, Batch    951, Loss  0.877533, Average Loss  0.873376, Time  0.236759
2021-09-22 03:53:40.065437 : Epoch  2, Batch    952, Loss  0.880894, Average Loss  0.873485, Time  0.236671
2021-09-22 03:53:42.736080 : Epoch  2, Batch    953, Loss  0.885897, Average Loss  0.873483, Time  0.236384
2021-09-22 03:53:45.399162 : Epoch  2, Batch    954, Loss  0.882196, Average Loss  0.873479, Time  0.237404
2021-09-22 03:53:48.068869 : Epoch  2, Batch    955, Loss  0.863245, Average Loss  0.873350, Time  0.235998
2021-09-22 03:53:50.727882 : Epoch  2, Batch    956, Loss  0.886554, Average Loss  0.873379, Time  0.236181
2021-09-22 03:53:53.379905 : Epoch  2, Batch    957, Loss  0.875456, Average Loss  0.873456, Time  0.236977
2021-09-22 03:53:56.029420 : Epoch  2, Batch    958, Loss  0.863918, Average Loss  0.873376, Time  0.236117
2021-09-22 03:53:58.682050 : Epoch  2, Batch    959, Loss  0.860904, Average Loss  0.873282, Time  0.237141
2021-09-22 03:54:01.347847 : Epoch  2, Batch    960, Loss  0.873332, Average Loss  0.873258, Time  0.236744
2021-09-22 03:54:03.997238 : Epoch  2, Batch    961, Loss  0.867474, Average Loss  0.873249, Time  0.236954
2021-09-22 03:54:06.666843 : Epoch  2, Batch    962, Loss  0.872601, Average Loss  0.873154, Time  0.236115
2021-09-22 03:54:09.325426 : Epoch  2, Batch    963, Loss  0.867586, Average Loss  0.873131, Time  0.236677
2021-09-22 03:54:11.981851 : Epoch  2, Batch    964, Loss  0.856494, Average Loss  0.873149, Time  0.236974
2021-09-22 03:54:14.634455 : Epoch  2, Batch    965, Loss  0.856958, Average Loss  0.873101, Time  0.236588
2021-09-22 03:54:17.290460 : Epoch  2, Batch    966, Loss  0.864047, Average Loss  0.873063, Time  0.236643
2021-09-22 03:54:19.949439 : Epoch  2, Batch    967, Loss  0.852446, Average Loss  0.872884, Time  0.237338
2021-09-22 03:54:22.599643 : Epoch  2, Batch    968, Loss  0.870264, Average Loss  0.872896, Time  0.237011
2021-09-22 03:54:25.276382 : Epoch  2, Batch    969, Loss  0.887522, Average Loss  0.872873, Time  0.236841
2021-09-22 03:54:27.921973 : Epoch  2, Batch    970, Loss  0.870361, Average Loss  0.872882, Time  0.236077
2021-09-22 03:54:30.570317 : Epoch  2, Batch    971, Loss  0.830855, Average Loss  0.872778, Time  0.236755
2021-09-22 03:54:33.224553 : Epoch  2, Batch    972, Loss  0.876814, Average Loss  0.872812, Time  0.236689
2021-09-22 03:54:35.876659 : Epoch  2, Batch    973, Loss  0.877689, Average Loss  0.872708, Time  0.236895
2021-09-22 03:54:38.528850 : Epoch  2, Batch    974, Loss  0.893287, Average Loss  0.872901, Time  0.236650
2021-09-22 03:54:41.208852 : Epoch  2, Batch    975, Loss  0.870338, Average Loss  0.872856, Time  0.236807
2021-09-22 03:54:43.867428 : Epoch  2, Batch    976, Loss  0.876841, Average Loss  0.872927, Time  0.236108
2021-09-22 03:54:46.518405 : Epoch  2, Batch    977, Loss  0.871116, Average Loss  0.872838, Time  0.236692
2021-09-22 03:54:49.169396 : Epoch  2, Batch    978, Loss  0.879178, Average Loss  0.872863, Time  0.236303
2021-09-22 03:54:51.822153 : Epoch  2, Batch    979, Loss  0.849245, Average Loss  0.872858, Time  0.236519
2021-09-22 03:54:54.481054 : Epoch  2, Batch    980, Loss  0.857775, Average Loss  0.872656, Time  0.235888
2021-09-22 03:54:57.144368 : Epoch  2, Batch    981, Loss  0.873210, Average Loss  0.872596, Time  0.236304
2021-09-22 03:54:59.800931 : Epoch  2, Batch    982, Loss  0.857834, Average Loss  0.872502, Time  0.236481
2021-09-22 03:55:02.458383 : Epoch  2, Batch    983, Loss  0.868442, Average Loss  0.872341, Time  0.236489
2021-09-22 03:55:05.117459 : Epoch  2, Batch    984, Loss  0.868030, Average Loss  0.872358, Time  0.236765
2021-09-22 03:55:07.777387 : Epoch  2, Batch    985, Loss  0.866397, Average Loss  0.872366, Time  0.235744
2021-09-22 03:55:10.431399 : Epoch  2, Batch    986, Loss  0.868132, Average Loss  0.872342, Time  0.235656
2021-09-22 03:55:13.086036 : Epoch  2, Batch    987, Loss  0.890858, Average Loss  0.872394, Time  0.236989
2021-09-22 03:55:15.743430 : Epoch  2, Batch    988, Loss  0.870024, Average Loss  0.872391, Time  0.236074
2021-09-22 03:55:18.407834 : Epoch  2, Batch    989, Loss  0.845441, Average Loss  0.872162, Time  0.238235
2021-09-22 03:55:21.057879 : Epoch  2, Batch    990, Loss  0.869603, Average Loss  0.872113, Time  0.236430
2021-09-22 03:55:23.715415 : Epoch  2, Batch    991, Loss  0.887849, Average Loss  0.872321, Time  0.236376
2021-09-22 03:55:26.356212 : Epoch  2, Batch    992, Loss  0.878847, Average Loss  0.872401, Time  0.235734
2021-09-22 03:55:29.001377 : Epoch  2, Batch    993, Loss  0.863134, Average Loss  0.872347, Time  0.236182
2021-09-22 03:55:31.658454 : Epoch  2, Batch    994, Loss  0.862311, Average Loss  0.872247, Time  0.236542
2021-09-22 03:55:34.313048 : Epoch  2, Batch    995, Loss  0.874583, Average Loss  0.872274, Time  0.236655
2021-09-22 03:55:36.976748 : Epoch  2, Batch    996, Loss  0.854472, Average Loss  0.872234, Time  0.236965
2021-09-22 03:55:39.631715 : Epoch  2, Batch    997, Loss  0.876512, Average Loss  0.872234, Time  0.236505
2021-09-22 03:55:42.280940 : Epoch  2, Batch    998, Loss  0.864462, Average Loss  0.872280, Time  0.236923
2021-09-22 03:55:44.932648 : Epoch  2, Batch    999, Loss  0.872114, Average Loss  0.872304, Time  0.236501
2021-09-22 03:55:47.589872 : Epoch  2, Batch   1000, Loss  0.864163, Average Loss  0.872254, Time  0.236547
2021-09-22 03:55:50.244396 : Epoch  2, Batch   1001, Loss  0.865821, Average Loss  0.872309, Time  0.236101
2021-09-22 03:55:52.887431 : Epoch  2, Batch   1002, Loss  0.872242, Average Loss  0.872322, Time  0.236161
2021-09-22 03:55:55.573657 : Epoch  2, Batch   1003, Loss  0.864817, Average Loss  0.872195, Time  0.237826
2021-09-22 03:55:58.278616 : Epoch  2, Batch   1004, Loss  0.892959, Average Loss  0.872240, Time  0.235724
2021-09-22 03:56:00.931391 : Epoch  2, Batch   1005, Loss  0.869860, Average Loss  0.872235, Time  0.236357
2021-09-22 03:56:03.556040 : Epoch  2, Batch   1006, Loss  0.868976, Average Loss  0.872267, Time  0.236310
2021-09-22 03:56:06.203232 : Epoch  2, Batch   1007, Loss  0.874250, Average Loss  0.872238, Time  0.235970
2021-09-22 03:56:08.851482 : Epoch  2, Batch   1008, Loss  0.868914, Average Loss  0.872186, Time  0.236391
2021-09-22 03:56:11.500837 : Epoch  2, Batch   1009, Loss  0.883039, Average Loss  0.872163, Time  0.237569
2021-09-22 03:56:14.195974 : Epoch  2, Batch   1010, Loss  0.875590, Average Loss  0.872133, Time  0.237734
2021-09-22 03:56:16.843059 : Epoch  2, Batch   1011, Loss  0.883694, Average Loss  0.872062, Time  0.236407
2021-09-22 03:56:19.486865 : Epoch  2, Batch   1012, Loss  0.874296, Average Loss  0.872083, Time  0.237772
2021-09-22 03:56:22.136709 : Epoch  2, Batch   1013, Loss  0.863386, Average Loss  0.872089, Time  0.235911
2021-09-22 03:56:24.781283 : Epoch  2, Batch   1014, Loss  0.879756, Average Loss  0.872084, Time  0.236442
2021-09-22 03:56:27.478578 : Epoch  2, Batch   1015, Loss  0.859458, Average Loss  0.872015, Time  0.236804
2021-09-22 03:56:30.141888 : Epoch  2, Batch   1016, Loss  0.884401, Average Loss  0.872014, Time  0.236606
2021-09-22 03:56:32.792695 : Epoch  2, Batch   1017, Loss  0.859311, Average Loss  0.872052, Time  0.236719
2021-09-22 03:56:35.435464 : Epoch  2, Batch   1018, Loss  0.904017, Average Loss  0.872099, Time  0.236526
2021-09-22 03:56:38.081226 : Epoch  2, Batch   1019, Loss  0.886224, Average Loss  0.872168, Time  0.236683
2021-09-22 03:56:40.726919 : Epoch  2, Batch   1020, Loss  0.861133, Average Loss  0.871997, Time  0.235883
2021-09-22 03:56:43.424162 : Epoch  2, Batch   1021, Loss  0.865323, Average Loss  0.872063, Time  0.237208
2021-09-22 03:56:46.089388 : Epoch  2, Batch   1022, Loss  0.870649, Average Loss  0.872102, Time  0.236661
2021-09-22 03:56:48.751409 : Epoch  2, Batch   1023, Loss  0.864068, Average Loss  0.872096, Time  0.236362
2021-09-22 03:56:51.404446 : Epoch  2, Batch   1024, Loss  0.877270, Average Loss  0.872131, Time  0.235536
2021-09-22 03:56:54.058834 : Epoch  2, Batch   1025, Loss  0.880234, Average Loss  0.872187, Time  0.236453
2021-09-22 03:56:56.701065 : Epoch  2, Batch   1026, Loss  0.855297, Average Loss  0.872207, Time  0.236190
2021-09-22 03:56:59.350053 : Epoch  2, Batch   1027, Loss  0.874595, Average Loss  0.872196, Time  0.236960
2021-09-22 03:57:02.003115 : Epoch  2, Batch   1028, Loss  0.870315, Average Loss  0.872188, Time  0.236112
2021-09-22 03:57:04.650415 : Epoch  2, Batch   1029, Loss  0.876159, Average Loss  0.872145, Time  0.236018
2021-09-22 03:57:07.326796 : Epoch  2, Batch   1030, Loss  0.878754, Average Loss  0.872139, Time  0.236484
2021-09-22 03:57:10.037331 : Epoch  2, Batch   1031, Loss  0.866149, Average Loss  0.872172, Time  0.256711
2021-09-22 03:57:12.692709 : Epoch  2, Batch   1032, Loss  0.867333, Average Loss  0.872019, Time  0.237804
2021-09-22 03:57:15.346479 : Epoch  2, Batch   1033, Loss  0.881432, Average Loss  0.872061, Time  0.237058
2021-09-22 03:57:18.011334 : Epoch  2, Batch   1034, Loss  0.874401, Average Loss  0.872086, Time  0.236840
2021-09-22 03:57:20.714436 : Epoch  2, Batch   1035, Loss  0.869336, Average Loss  0.872037, Time  0.237296
2021-09-22 03:57:23.390412 : Epoch  2, Batch   1036, Loss  0.851481, Average Loss  0.871749, Time  0.236756
2021-09-22 03:57:26.058807 : Epoch  2, Batch   1037, Loss  0.859720, Average Loss  0.871800, Time  0.238019
2021-09-22 03:57:28.711995 : Epoch  2, Batch   1038, Loss  0.874960, Average Loss  0.871788, Time  0.236348
2021-09-22 03:57:31.364382 : Epoch  2, Batch   1039, Loss  0.855634, Average Loss  0.871677, Time  0.237173
2021-09-22 03:57:34.004713 : Epoch  2, Batch   1040, Loss  0.856658, Average Loss  0.871542, Time  0.235933
2021-09-22 03:57:36.656434 : Epoch  2, Batch   1041, Loss  0.861091, Average Loss  0.871481, Time  0.236297
2021-09-22 03:57:39.308402 : Epoch  2, Batch   1042, Loss  0.852632, Average Loss  0.871503, Time  0.235571
2021-09-22 03:57:41.953399 : Epoch  2, Batch   1043, Loss  0.876177, Average Loss  0.871481, Time  0.235857
2021-09-22 03:57:44.595308 : Epoch  2, Batch   1044, Loss  0.869176, Average Loss  0.871358, Time  0.235823
2021-09-22 04:01:52.945771 : CheckPoint: Validation Loss  0.00029586, Best Loss  0.00029586
2021-09-22 04:01:52.988577 : Best Model Updated
2021-09-22 04:01:56.317225 : Epoch  2, Batch   1045, Loss  0.856375, Average Loss  0.871289, Time  0.237602
2021-09-22 04:01:58.950817 : Epoch  2, Batch   1046, Loss  0.860495, Average Loss  0.871163, Time  0.235944
2021-09-22 04:02:01.596407 : Epoch  2, Batch   1047, Loss  0.851835, Average Loss  0.870985, Time  0.236301
2021-09-22 04:02:04.228980 : Epoch  2, Batch   1048, Loss  0.850560, Average Loss  0.870873, Time  0.236263
2021-09-22 04:02:06.872921 : Epoch  2, Batch   1049, Loss  0.875660, Average Loss  0.870934, Time  0.236425
2021-09-22 04:02:09.500092 : Epoch  2, Batch   1050, Loss  0.882515, Average Loss  0.870991, Time  0.235936
2021-09-22 04:02:12.150847 : Epoch  2, Batch   1051, Loss  0.882336, Average Loss  0.871012, Time  0.237007
2021-09-22 04:02:14.809007 : Epoch  2, Batch   1052, Loss  0.877278, Average Loss  0.871046, Time  0.236708
2021-09-22 04:02:17.463616 : Epoch  2, Batch   1053, Loss  0.864341, Average Loss  0.871080, Time  0.236103
2021-09-22 04:02:20.122051 : Epoch  2, Batch   1054, Loss  0.883813, Average Loss  0.871150, Time  0.236192
2021-09-22 04:02:22.774136 : Epoch  2, Batch   1055, Loss  0.876425, Average Loss  0.871188, Time  0.236633
2021-09-22 04:02:25.452189 : Epoch  2, Batch   1056, Loss  0.876345, Average Loss  0.871164, Time  0.235621
2021-09-22 04:02:28.108856 : Epoch  2, Batch   1057, Loss  0.868645, Average Loss  0.871182, Time  0.235904
2021-09-22 04:02:30.777467 : Epoch  2, Batch   1058, Loss  0.865508, Average Loss  0.871171, Time  0.237242
2021-09-22 04:02:33.429652 : Epoch  2, Batch   1059, Loss  0.893623, Average Loss  0.871271, Time  0.236207
2021-09-22 04:02:36.094276 : Epoch  2, Batch   1060, Loss  0.857979, Average Loss  0.871165, Time  0.236034
2021-09-22 04:02:38.747380 : Epoch  2, Batch   1061, Loss  0.874674, Average Loss  0.871086, Time  0.236247
2021-09-22 04:02:41.388703 : Epoch  2, Batch   1062, Loss  0.885945, Average Loss  0.871177, Time  0.235811
2021-09-22 04:02:44.054292 : Epoch  2, Batch   1063, Loss  0.849736, Average Loss  0.871037, Time  0.236951
2021-09-22 04:02:46.713841 : Epoch  2, Batch   1064, Loss  0.868773, Average Loss  0.870990, Time  0.236311
2021-09-22 04:02:49.374812 : Epoch  2, Batch   1065, Loss  0.875930, Average Loss  0.870840, Time  0.237090
2021-09-22 04:02:52.047088 : Epoch  2, Batch   1066, Loss  0.882951, Average Loss  0.870828, Time  0.236677
2021-09-22 04:02:54.731068 : Epoch  2, Batch   1067, Loss  0.888758, Average Loss  0.870875, Time  0.236977
2021-09-22 04:02:57.411692 : Epoch  2, Batch   1068, Loss  0.868642, Average Loss  0.870762, Time  0.237128
2021-09-22 04:03:00.080864 : Epoch  2, Batch   1069, Loss  0.860391, Average Loss  0.870601, Time  0.236854
2021-09-22 04:03:02.738028 : Epoch  2, Batch   1070, Loss  0.864279, Average Loss  0.870494, Time  0.237087
2021-09-22 04:03:05.419025 : Epoch  2, Batch   1071, Loss  0.880083, Average Loss  0.870544, Time  0.238184
2021-09-22 04:03:08.097876 : Epoch  2, Batch   1072, Loss  0.865426, Average Loss  0.870459, Time  0.236514
2021-09-22 04:03:10.751053 : Epoch  2, Batch   1073, Loss  0.863926, Average Loss  0.870438, Time  0.237277
2021-09-22 04:03:13.391112 : Epoch  2, Batch   1074, Loss  0.876809, Average Loss  0.870421, Time  0.236472
2021-09-22 04:03:16.094928 : Epoch  2, Batch   1075, Loss  0.857976, Average Loss  0.870223, Time  0.237144
2021-09-22 04:03:18.759675 : Epoch  2, Batch   1076, Loss  0.890396, Average Loss  0.870374, Time  0.236868
2021-09-22 04:03:21.428984 : Epoch  2, Batch   1077, Loss  0.908345, Average Loss  0.870597, Time  0.236438
2021-09-22 04:03:24.085883 : Epoch  2, Batch   1078, Loss  0.851678, Average Loss  0.870535, Time  0.236527
2021-09-22 04:03:26.737143 : Epoch  2, Batch   1079, Loss  0.874629, Average Loss  0.870588, Time  0.236212
2021-09-22 04:03:29.391433 : Epoch  2, Batch   1080, Loss  0.872716, Average Loss  0.870619, Time  0.235702
2021-09-22 04:03:32.034472 : Epoch  2, Batch   1081, Loss  0.873970, Average Loss  0.870693, Time  0.236834
2021-09-22 04:03:34.704267 : Epoch  2, Batch   1082, Loss  0.854784, Average Loss  0.870594, Time  0.236906
2021-09-22 04:03:37.365102 : Epoch  2, Batch   1083, Loss  0.892164, Average Loss  0.870747, Time  0.236578
2021-09-22 04:03:40.018236 : Epoch  2, Batch   1084, Loss  0.854745, Average Loss  0.870698, Time  0.236557
2021-09-22 04:03:42.674207 : Epoch  2, Batch   1085, Loss  0.845188, Average Loss  0.870623, Time  0.236889
2021-09-22 04:03:45.327123 : Epoch  2, Batch   1086, Loss  0.868312, Average Loss  0.870649, Time  0.235787
2021-09-22 04:03:47.966027 : Epoch  2, Batch   1087, Loss  0.905502, Average Loss  0.870907, Time  0.236436
2021-09-22 04:03:50.605022 : Epoch  2, Batch   1088, Loss  0.857410, Average Loss  0.870807, Time  0.235617
2021-09-22 04:03:53.252376 : Epoch  2, Batch   1089, Loss  0.858828, Average Loss  0.870712, Time  0.236184
2021-09-22 04:03:55.920410 : Epoch  2, Batch   1090, Loss  0.885477, Average Loss  0.870824, Time  0.237277
2021-09-22 04:03:58.582784 : Epoch  2, Batch   1091, Loss  0.865273, Average Loss  0.870745, Time  0.236697
2021-09-22 04:04:01.247881 : Epoch  2, Batch   1092, Loss  0.881998, Average Loss  0.870698, Time  0.237501
2021-09-22 04:04:03.908896 : Epoch  2, Batch   1093, Loss  0.864054, Average Loss  0.870632, Time  0.237593
2021-09-22 04:04:06.564247 : Epoch  2, Batch   1094, Loss  0.852952, Average Loss  0.870595, Time  0.236891
2021-09-22 04:04:09.210997 : Epoch  2, Batch   1095, Loss  0.876272, Average Loss  0.870605, Time  0.237242
2021-09-22 04:04:11.870874 : Epoch  2, Batch   1096, Loss  0.870885, Average Loss  0.870645, Time  0.236543
2021-09-22 04:04:14.526663 : Epoch  2, Batch   1097, Loss  0.864546, Average Loss  0.870535, Time  0.236236
2021-09-22 04:04:17.169569 : Epoch  2, Batch   1098, Loss  0.867233, Average Loss  0.870566, Time  0.236598
2021-09-22 04:04:19.824967 : Epoch  2, Batch   1099, Loss  0.889903, Average Loss  0.870581, Time  0.237059
2021-09-22 04:04:22.473989 : Epoch  2, Batch   1100, Loss  0.861729, Average Loss  0.870621, Time  0.236715
2021-09-22 04:04:25.131425 : Epoch  2, Batch   1101, Loss  0.875561, Average Loss  0.870633, Time  0.236855
2021-09-22 04:04:27.784682 : Epoch  2, Batch   1102, Loss  0.854804, Average Loss  0.870558, Time  0.236490
2021-09-22 04:04:30.435346 : Epoch  2, Batch   1103, Loss  0.882968, Average Loss  0.870543, Time  0.235834
2021-09-22 04:04:33.092377 : Epoch  2, Batch   1104, Loss  0.867337, Average Loss  0.870526, Time  0.235663
2021-09-22 04:04:35.756957 : Epoch  2, Batch   1105, Loss  0.875704, Average Loss  0.870604, Time  0.236368
2021-09-22 04:04:38.417100 : Epoch  2, Batch   1106, Loss  0.877370, Average Loss  0.870530, Time  0.235867
2021-09-22 04:04:41.063868 : Epoch  2, Batch   1107, Loss  0.851008, Average Loss  0.870517, Time  0.236071
2021-09-22 04:04:43.714391 : Epoch  2, Batch   1108, Loss  0.864215, Average Loss  0.870491, Time  0.235819
2021-09-22 04:04:46.371014 : Epoch  2, Batch   1109, Loss  0.858469, Average Loss  0.870408, Time  0.238949
2021-09-22 04:04:49.037135 : Epoch  2, Batch   1110, Loss  0.871630, Average Loss  0.870370, Time  0.237298
2021-09-22 04:04:51.688861 : Epoch  2, Batch   1111, Loss  0.864650, Average Loss  0.870354, Time  0.236035
2021-09-22 04:04:54.342078 : Epoch  2, Batch   1112, Loss  0.870728, Average Loss  0.870303, Time  0.236504
2021-09-22 04:04:57.019228 : Epoch  2, Batch   1113, Loss  0.875917, Average Loss  0.870248, Time  0.237636
2021-09-22 04:04:59.692064 : Epoch  2, Batch   1114, Loss  0.878355, Average Loss  0.870304, Time  0.237628
2021-09-22 04:05:02.353276 : Epoch  2, Batch   1115, Loss  0.852829, Average Loss  0.870222, Time  0.237200
2021-09-22 04:05:05.011153 : Epoch  2, Batch   1116, Loss  0.859559, Average Loss  0.870187, Time  0.236474
2021-09-22 04:05:07.696447 : Epoch  2, Batch   1117, Loss  0.882916, Average Loss  0.870270, Time  0.235984
2021-09-22 04:05:10.360288 : Epoch  2, Batch   1118, Loss  0.851531, Average Loss  0.870153, Time  0.236485
2021-09-22 04:05:13.016903 : Epoch  2, Batch   1119, Loss  0.888143, Average Loss  0.870219, Time  0.237295
2021-09-22 04:05:15.664034 : Epoch  2, Batch   1120, Loss  0.853834, Average Loss  0.870144, Time  0.237102
2021-09-22 04:05:18.320561 : Epoch  2, Batch   1121, Loss  0.860646, Average Loss  0.870180, Time  0.236312
2021-09-22 04:05:20.981349 : Epoch  2, Batch   1122, Loss  0.884101, Average Loss  0.870149, Time  0.236598
2021-09-22 04:05:23.634468 : Epoch  2, Batch   1123, Loss  0.875640, Average Loss  0.870204, Time  0.236111
2021-09-22 04:05:26.288943 : Epoch  2, Batch   1124, Loss  0.866152, Average Loss  0.870201, Time  0.236174
2021-09-22 04:05:28.931961 : Epoch  2, Batch   1125, Loss  0.868524, Average Loss  0.870174, Time  0.237055
2021-09-22 04:05:31.589433 : Epoch  2, Batch   1126, Loss  0.856741, Average Loss  0.870112, Time  0.235327
2021-09-22 04:05:34.257792 : Epoch  2, Batch   1127, Loss  0.874093, Average Loss  0.870171, Time  0.236812
2021-09-22 04:05:36.904001 : Epoch  2, Batch   1128, Loss  0.874763, Average Loss  0.870204, Time  0.235480
2021-09-22 04:05:39.568927 : Epoch  2, Batch   1129, Loss  0.868292, Average Loss  0.870268, Time  0.237067
2021-09-22 04:05:42.217387 : Epoch  2, Batch   1130, Loss  0.880955, Average Loss  0.870330, Time  0.235553
2021-09-22 04:05:44.865851 : Epoch  2, Batch   1131, Loss  0.892057, Average Loss  0.870409, Time  0.236172
2021-09-22 04:05:47.546065 : Epoch  2, Batch   1132, Loss  0.867443, Average Loss  0.870379, Time  0.235984
2021-09-22 04:05:50.214958 : Epoch  2, Batch   1133, Loss  0.882397, Average Loss  0.870542, Time  0.235848
2021-09-22 04:05:52.856624 : Epoch  2, Batch   1134, Loss  0.873876, Average Loss  0.870577, Time  0.236304
2021-09-22 04:05:55.513881 : Epoch  2, Batch   1135, Loss  0.880256, Average Loss  0.870614, Time  0.236627
2021-09-22 04:05:58.170462 : Epoch  2, Batch   1136, Loss  0.879666, Average Loss  0.870627, Time  0.237494
2021-09-22 04:06:00.819949 : Epoch  2, Batch   1137, Loss  0.854231, Average Loss  0.870552, Time  0.236130
2021-09-22 04:06:03.480487 : Epoch  2, Batch   1138, Loss  0.885065, Average Loss  0.870682, Time  0.239221
2021-09-22 04:06:06.138751 : Epoch  2, Batch   1139, Loss  0.866002, Average Loss  0.870629, Time  0.235998
2021-09-22 04:06:08.796382 : Epoch  2, Batch   1140, Loss  0.873500, Average Loss  0.870675, Time  0.236339
2021-09-22 04:06:11.442312 : Epoch  2, Batch   1141, Loss  0.862365, Average Loss  0.870631, Time  0.236575
2021-09-22 04:06:14.093489 : Epoch  2, Batch   1142, Loss  0.873909, Average Loss  0.870714, Time  0.235332
2021-09-22 04:06:16.744868 : Epoch  2, Batch   1143, Loss  0.879046, Average Loss  0.870768, Time  0.236244
2021-09-22 04:06:28.614127 : Epoch  2, Batch   1144, Loss  0.869451, Average Loss  0.870743, Time  0.269320
2021-09-22 04:10:37.039781 : CheckPoint: Validation Loss  0.00030986, Best Loss  0.00029586
2021-09-22 04:10:39.795372 : Epoch  2, Batch   1145, Loss  0.851694, Average Loss  0.870713, Time  0.268075
2021-09-22 04:10:42.499911 : Epoch  2, Batch   1146, Loss  0.854576, Average Loss  0.870627, Time  0.249169
2021-09-22 04:10:45.177867 : Epoch  2, Batch   1147, Loss  0.864431, Average Loss  0.870429, Time  0.237037
2021-09-22 04:10:47.870004 : Epoch  2, Batch   1148, Loss  0.862259, Average Loss  0.870294, Time  0.236505
2021-09-22 04:10:50.551568 : Epoch  2, Batch   1149, Loss  0.865201, Average Loss  0.870233, Time  0.235781
2021-09-22 04:10:53.258402 : Epoch  2, Batch   1150, Loss  0.867943, Average Loss  0.870230, Time  0.236844
2021-09-22 04:10:55.954587 : Epoch  2, Batch   1151, Loss  0.881986, Average Loss  0.870253, Time  0.236826
2021-09-22 04:10:58.632280 : Epoch  2, Batch   1152, Loss  0.885210, Average Loss  0.870274, Time  0.235980
2021-09-22 04:11:01.327416 : Epoch  2, Batch   1153, Loss  0.876229, Average Loss  0.870226, Time  0.235689
2021-09-22 04:11:04.033414 : Epoch  2, Batch   1154, Loss  0.874993, Average Loss  0.870190, Time  0.236174
2021-09-22 04:11:06.712827 : Epoch  2, Batch   1155, Loss  0.863050, Average Loss  0.870189, Time  0.236664
2021-09-22 04:11:09.395918 : Epoch  2, Batch   1156, Loss  0.862099, Average Loss  0.870066, Time  0.235912
2021-09-22 04:11:12.080276 : Epoch  2, Batch   1157, Loss  0.867046, Average Loss  0.870024, Time  0.236375
2021-09-22 04:11:14.794014 : Epoch  2, Batch   1158, Loss  0.876755, Average Loss  0.870089, Time  0.236421
2021-09-22 04:11:17.517419 : Epoch  2, Batch   1159, Loss  0.871573, Average Loss  0.870142, Time  0.236458
2021-09-22 04:11:20.258408 : Epoch  2, Batch   1160, Loss  0.874716, Average Loss  0.870149, Time  0.235906
2021-09-22 04:11:22.973924 : Epoch  2, Batch   1161, Loss  0.892353, Average Loss  0.870273, Time  0.236854
2021-09-22 04:11:25.699427 : Epoch  2, Batch   1162, Loss  0.875639, Average Loss  0.870288, Time  0.236160
2021-09-22 04:11:28.417399 : Epoch  2, Batch   1163, Loss  0.876944, Average Loss  0.870335, Time  0.236725
2021-09-22 04:11:31.119200 : Epoch  2, Batch   1164, Loss  0.880431, Average Loss  0.870455, Time  0.236454
2021-09-22 04:11:33.810370 : Epoch  2, Batch   1165, Loss  0.891045, Average Loss  0.870625, Time  0.236013
2021-09-22 04:11:36.497001 : Epoch  2, Batch   1166, Loss  0.901929, Average Loss  0.870815, Time  0.236314
2021-09-22 04:11:39.194412 : Epoch  2, Batch   1167, Loss  0.861171, Average Loss  0.870858, Time  0.236052
2021-09-22 04:11:41.903953 : Epoch  2, Batch   1168, Loss  0.888960, Average Loss  0.870952, Time  0.237355
2021-09-22 04:11:44.586878 : Epoch  2, Batch   1169, Loss  0.876842, Average Loss  0.870899, Time  0.236372
2021-09-22 04:11:47.295190 : Epoch  2, Batch   1170, Loss  0.878166, Average Loss  0.870938, Time  0.238262
2021-09-22 04:11:50.023401 : Epoch  2, Batch   1171, Loss  0.894422, Average Loss  0.871255, Time  0.236142
2021-09-22 04:11:52.725408 : Epoch  2, Batch   1172, Loss  0.892503, Average Loss  0.871334, Time  0.243513
2021-09-22 04:11:55.416451 : Epoch  2, Batch   1173, Loss  0.870755, Average Loss  0.871299, Time  0.237079
2021-09-22 04:11:58.117988 : Epoch  2, Batch   1174, Loss  0.874076, Average Loss  0.871203, Time  0.236854
2021-09-22 04:12:00.801848 : Epoch  2, Batch   1175, Loss  0.843834, Average Loss  0.871071, Time  0.236836
2021-09-22 04:12:03.485870 : Epoch  2, Batch   1176, Loss  0.869892, Average Loss  0.871036, Time  0.236433
2021-09-22 04:12:06.172303 : Epoch  2, Batch   1177, Loss  0.881069, Average Loss  0.871086, Time  0.236690
2021-09-22 04:12:08.878241 : Epoch  2, Batch   1178, Loss  0.878566, Average Loss  0.871083, Time  0.236784
2021-09-22 04:12:11.578688 : Epoch  2, Batch   1179, Loss  0.877721, Average Loss  0.871225, Time  0.237008
2021-09-22 04:12:14.290723 : Epoch  2, Batch   1180, Loss  0.877285, Average Loss  0.871322, Time  0.236985
2021-09-22 04:12:16.983262 : Epoch  2, Batch   1181, Loss  0.883227, Average Loss  0.871373, Time  0.236054
2021-09-22 04:12:19.675388 : Epoch  2, Batch   1182, Loss  0.855946, Average Loss  0.871363, Time  0.236437
2021-09-22 04:12:22.355976 : Epoch  2, Batch   1183, Loss  0.860095, Average Loss  0.871321, Time  0.235848
2021-09-22 04:12:25.049447 : Epoch  2, Batch   1184, Loss  0.892286, Average Loss  0.871443, Time  0.236259
2021-09-22 04:12:27.739759 : Epoch  2, Batch   1185, Loss  0.867671, Average Loss  0.871449, Time  0.236321
2021-09-22 04:12:30.432887 : Epoch  2, Batch   1186, Loss  0.856695, Average Loss  0.871392, Time  0.236602
2021-09-22 04:12:33.119018 : Epoch  2, Batch   1187, Loss  0.885129, Average Loss  0.871363, Time  0.236358
2021-09-22 04:12:35.802625 : Epoch  2, Batch   1188, Loss  0.859069, Average Loss  0.871308, Time  0.236123
2021-09-22 04:12:38.504408 : Epoch  2, Batch   1189, Loss  0.881505, Average Loss  0.871489, Time  0.236666
2021-09-22 04:12:41.201457 : Epoch  2, Batch   1190, Loss  0.849482, Average Loss  0.871388, Time  0.236549
2021-09-22 04:12:43.882982 : Epoch  2, Batch   1191, Loss  0.872579, Average Loss  0.871312, Time  0.236058
2021-09-22 04:12:46.573441 : Epoch  2, Batch   1192, Loss  0.885112, Average Loss  0.871343, Time  0.236211
2021-09-22 04:12:49.265447 : Epoch  2, Batch   1193, Loss  0.876307, Average Loss  0.871409, Time  0.236554
2021-09-22 04:12:51.945615 : Epoch  2, Batch   1194, Loss  0.877313, Average Loss  0.871484, Time  0.235934
2021-09-22 04:12:54.640340 : Epoch  2, Batch   1195, Loss  0.866524, Average Loss  0.871444, Time  0.236984
2021-09-22 04:12:57.346087 : Epoch  2, Batch   1196, Loss  0.849856, Average Loss  0.871421, Time  0.236757
2021-09-22 04:13:00.041043 : Epoch  2, Batch   1197, Loss  0.870990, Average Loss  0.871393, Time  0.237299
2021-09-22 04:13:02.725840 : Epoch  2, Batch   1198, Loss  0.895397, Average Loss  0.871548, Time  0.236247
2021-09-22 04:13:05.418385 : Epoch  2, Batch   1199, Loss  0.878031, Average Loss  0.871577, Time  0.236083
2021-09-22 04:13:08.099055 : Epoch  2, Batch   1200, Loss  0.899830, Average Loss  0.871756, Time  0.236085
2021-09-22 04:13:10.789635 : Epoch  2, Batch   1201, Loss  0.890387, Average Loss  0.871878, Time  0.237913
2021-09-22 04:13:13.480186 : Epoch  2, Batch   1202, Loss  0.870596, Average Loss  0.871870, Time  0.236668
2021-09-22 04:13:16.175895 : Epoch  2, Batch   1203, Loss  0.856624, Average Loss  0.871829, Time  0.237337
2021-09-22 04:13:18.869131 : Epoch  2, Batch   1204, Loss  0.878567, Average Loss  0.871757, Time  0.236171
2021-09-22 04:13:21.580925 : Epoch  2, Batch   1205, Loss  0.845265, Average Loss  0.871634, Time  0.236300
2021-09-22 04:13:24.277413 : Epoch  2, Batch   1206, Loss  0.874140, Average Loss  0.871660, Time  0.236041
2021-09-22 04:13:26.977423 : Epoch  2, Batch   1207, Loss  0.859813, Average Loss  0.871588, Time  0.235832
2021-09-22 04:13:29.679660 : Epoch  2, Batch   1208, Loss  0.861618, Average Loss  0.871551, Time  0.236938
2021-09-22 04:13:32.395630 : Epoch  2, Batch   1209, Loss  0.888955, Average Loss  0.871581, Time  0.236395
2021-09-22 04:13:35.080499 : Epoch  2, Batch   1210, Loss  0.875322, Average Loss  0.871580, Time  0.236876
2021-09-22 04:13:37.773405 : Epoch  2, Batch   1211, Loss  0.873837, Average Loss  0.871530, Time  0.236515
2021-09-22 04:13:40.559057 : Epoch  2, Batch   1212, Loss  0.876860, Average Loss  0.871543, Time  0.236956
2021-09-22 04:13:43.289144 : Epoch  2, Batch   1213, Loss  0.896100, Average Loss  0.871707, Time  0.249694
2021-09-22 04:13:46.005878 : Epoch  2, Batch   1214, Loss  0.865220, Average Loss  0.871634, Time  0.236967
2021-09-22 04:13:48.699033 : Epoch  2, Batch   1215, Loss  0.863041, Average Loss  0.871652, Time  0.237859
2021-09-22 04:13:51.400289 : Epoch  2, Batch   1216, Loss  0.879351, Average Loss  0.871627, Time  0.236470
2021-09-22 04:13:54.083649 : Epoch  2, Batch   1217, Loss  0.883090, Average Loss  0.871746, Time  0.236783
2021-09-22 04:13:56.979421 : Epoch  2, Batch   1218, Loss  0.860623, Average Loss  0.871529, Time  0.267058
2021-09-22 04:13:59.678416 : Epoch  2, Batch   1219, Loss  0.860369, Average Loss  0.871399, Time  0.239307
2021-09-22 04:14:02.373479 : Epoch  2, Batch   1220, Loss  0.886841, Average Loss  0.871528, Time  0.236421
2021-09-22 04:14:05.073058 : Epoch  2, Batch   1221, Loss  0.870556, Average Loss  0.871554, Time  0.236380
2021-09-22 04:14:07.773275 : Epoch  2, Batch   1222, Loss  0.864077, Average Loss  0.871521, Time  0.236409
2021-09-22 04:14:10.464610 : Epoch  2, Batch   1223, Loss  0.878111, Average Loss  0.871591, Time  0.236735
2021-09-22 04:14:13.160448 : Epoch  2, Batch   1224, Loss  0.869110, Average Loss  0.871551, Time  0.236278
2021-09-22 04:14:15.855030 : Epoch  2, Batch   1225, Loss  0.867160, Average Loss  0.871485, Time  0.237270
2021-09-22 04:14:18.558702 : Epoch  2, Batch   1226, Loss  0.894777, Average Loss  0.871683, Time  0.236764
2021-09-22 04:14:21.250124 : Epoch  2, Batch   1227, Loss  0.875414, Average Loss  0.871687, Time  0.236441
2021-09-22 04:14:23.944030 : Epoch  2, Batch   1228, Loss  0.876071, Average Loss  0.871716, Time  0.236600
2021-09-22 04:14:26.630247 : Epoch  2, Batch   1229, Loss  0.864650, Average Loss  0.871658, Time  0.237143
2021-09-22 04:14:29.326791 : Epoch  2, Batch   1230, Loss  0.899995, Average Loss  0.871764, Time  0.237234
2021-09-22 04:14:32.023794 : Epoch  2, Batch   1231, Loss  0.856716, Average Loss  0.871717, Time  0.236786
2021-09-22 04:14:34.710820 : Epoch  2, Batch   1232, Loss  0.879476, Average Loss  0.871778, Time  0.236807
2021-09-22 04:14:37.404014 : Epoch  2, Batch   1233, Loss  0.865468, Average Loss  0.871698, Time  0.236670
2021-09-22 04:14:40.107090 : Epoch  2, Batch   1234, Loss  0.893048, Average Loss  0.871791, Time  0.236865
2021-09-22 04:14:42.805388 : Epoch  2, Batch   1235, Loss  0.875579, Average Loss  0.871822, Time  0.237702
2021-09-22 04:14:45.494505 : Epoch  2, Batch   1236, Loss  0.897123, Average Loss  0.872051, Time  0.235826
2021-09-22 04:14:48.185459 : Epoch  2, Batch   1237, Loss  0.888313, Average Loss  0.872194, Time  0.237504
2021-09-22 04:14:50.877912 : Epoch  2, Batch   1238, Loss  0.868679, Average Loss  0.872162, Time  0.236335
2021-09-22 04:14:53.574559 : Epoch  2, Batch   1239, Loss  0.871123, Average Loss  0.872240, Time  0.237632
2021-09-22 04:14:56.289092 : Epoch  2, Batch   1240, Loss  0.870927, Average Loss  0.872311, Time  0.237018
2021-09-22 04:14:58.962998 : Epoch  2, Batch   1241, Loss  0.848713, Average Loss  0.872249, Time  0.236951
2021-09-22 04:15:01.631012 : Epoch  2, Batch   1242, Loss  0.875559, Average Loss  0.872364, Time  0.235699
2021-09-22 04:15:04.299842 : Epoch  2, Batch   1243, Loss  0.865656, Average Loss  0.872311, Time  0.235861
2021-09-22 04:15:06.973841 : Epoch  2, Batch   1244, Loss  0.850158, Average Loss  0.872216, Time  0.235871
2021-09-22 04:19:16.505751 : CheckPoint: Validation Loss  0.00031055, Best Loss  0.00029586
2021-09-22 04:19:19.180991 : Epoch  2, Batch   1245, Loss  0.884226, Average Loss  0.872355, Time  0.237976
2021-09-22 04:19:21.862368 : Epoch  2, Batch   1246, Loss  0.883936, Average Loss  0.872473, Time  0.236069
2021-09-22 04:19:24.541972 : Epoch  2, Batch   1247, Loss  0.889304, Average Loss  0.872660, Time  0.237672
2021-09-22 04:19:27.220614 : Epoch  2, Batch   1248, Loss  0.884711, Average Loss  0.872831, Time  0.236239
2021-09-22 04:19:29.920887 : Epoch  2, Batch   1249, Loss  0.895551, Average Loss  0.872930, Time  0.237249
2021-09-22 04:19:32.593038 : Epoch  2, Batch   1250, Loss  0.883205, Average Loss  0.872934, Time  0.236112
2021-09-22 04:19:35.274165 : Epoch  2, Batch   1251, Loss  0.874161, Average Loss  0.872893, Time  0.236454
2021-09-22 04:19:37.975629 : Epoch  2, Batch   1252, Loss  0.881051, Average Loss  0.872911, Time  0.237884
2021-09-22 04:19:40.660964 : Epoch  2, Batch   1253, Loss  0.854145, Average Loss  0.872861, Time  0.237753
2021-09-22 04:19:43.349670 : Epoch  2, Batch   1254, Loss  0.871198, Average Loss  0.872797, Time  0.236662
2021-09-22 04:19:46.083569 : Epoch  2, Batch   1255, Loss  0.883053, Average Loss  0.872831, Time  0.236754
2021-09-22 04:19:48.762419 : Epoch  2, Batch   1256, Loss  0.884125, Average Loss  0.872869, Time  0.236303
2021-09-22 04:19:51.454945 : Epoch  2, Batch   1257, Loss  0.877145, Average Loss  0.872912, Time  0.236746
2021-09-22 04:19:54.137179 : Epoch  2, Batch   1258, Loss  0.889233, Average Loss  0.873031, Time  0.236744
2021-09-22 04:19:56.810045 : Epoch  2, Batch   1259, Loss  0.887175, Average Loss  0.872998, Time  0.236793
2021-09-22 04:19:59.483011 : Epoch  2, Batch   1260, Loss  0.843999, Average Loss  0.872928, Time  0.236727
2021-09-22 04:20:02.162651 : Epoch  2, Batch   1261, Loss  0.844729, Average Loss  0.872779, Time  0.235886
2021-09-22 04:20:04.859062 : Epoch  2, Batch   1262, Loss  0.872323, Average Loss  0.872711, Time  0.236850
2021-09-22 04:20:07.532822 : Epoch  2, Batch   1263, Loss  0.873922, Average Loss  0.872832, Time  0.237024
2021-09-22 04:20:10.210104 : Epoch  2, Batch   1264, Loss  0.866704, Average Loss  0.872821, Time  0.235756
2021-09-22 04:20:12.886918 : Epoch  2, Batch   1265, Loss  0.890637, Average Loss  0.872895, Time  0.235960
2021-09-22 04:20:15.555160 : Epoch  2, Batch   1266, Loss  0.875102, Average Loss  0.872856, Time  0.236243
2021-09-22 04:20:18.230881 : Epoch  2, Batch   1267, Loss  0.892480, Average Loss  0.872874, Time  0.236899
2021-09-22 04:20:20.927208 : Epoch  2, Batch   1268, Loss  0.872424, Average Loss  0.872893, Time  0.235944
2021-09-22 04:20:23.646696 : Epoch  2, Batch   1269, Loss  0.886038, Average Loss  0.873021, Time  0.236032
2021-09-22 04:20:26.326432 : Epoch  2, Batch   1270, Loss  0.868024, Average Loss  0.873040, Time  0.237369
2021-09-22 04:20:29.001703 : Epoch  2, Batch   1271, Loss  0.884045, Average Loss  0.873060, Time  0.237676
2021-09-22 04:20:31.682974 : Epoch  2, Batch   1272, Loss  0.878478, Average Loss  0.873125, Time  0.236890
2021-09-22 04:20:34.376403 : Epoch  2, Batch   1273, Loss  0.870253, Average Loss  0.873157, Time  0.236712
2021-09-22 04:20:37.058825 : Epoch  2, Batch   1274, Loss  0.877152, Average Loss  0.873158, Time  0.237205
2021-09-22 04:20:39.739100 : Epoch  2, Batch   1275, Loss  0.876220, Average Loss  0.873250, Time  0.237173
2021-09-22 04:20:42.423196 : Epoch  2, Batch   1276, Loss  0.876131, Average Loss  0.873178, Time  0.236348
2021-09-22 04:20:45.099829 : Epoch  2, Batch   1277, Loss  0.863259, Average Loss  0.872953, Time  0.236470
2021-09-22 04:20:47.777446 : Epoch  2, Batch   1278, Loss  0.870125, Average Loss  0.873045, Time  0.235931
2021-09-22 04:20:50.463878 : Epoch  2, Batch   1279, Loss  0.858809, Average Loss  0.872966, Time  0.237540
2021-09-22 04:20:53.141429 : Epoch  2, Batch   1280, Loss  0.881081, Average Loss  0.873008, Time  0.236846
2021-09-22 04:20:55.822057 : Epoch  2, Batch   1281, Loss  0.889956, Average Loss  0.873088, Time  0.237216
2021-09-22 04:20:58.495396 : Epoch  2, Batch   1282, Loss  0.840894, Average Loss  0.873018, Time  0.235388
2021-09-22 04:21:01.175872 : Epoch  2, Batch   1283, Loss  0.866352, Average Loss  0.872889, Time  0.236409
2021-09-22 04:21:03.903999 : Epoch  2, Batch   1284, Loss  0.886234, Average Loss  0.873047, Time  0.237228
2021-09-22 04:21:06.575908 : Epoch  2, Batch   1285, Loss  0.871558, Average Loss  0.873179, Time  0.237403
2021-09-22 04:21:09.244445 : Epoch  2, Batch   1286, Loss  0.864428, Average Loss  0.873159, Time  0.236172
2021-09-22 04:21:11.934595 : Epoch  2, Batch   1287, Loss  0.887119, Average Loss  0.873067, Time  0.237625
2021-09-22 04:21:14.640225 : Epoch  2, Batch   1288, Loss  0.873183, Average Loss  0.873146, Time  0.239017
2021-09-22 04:21:17.332004 : Epoch  2, Batch   1289, Loss  0.869436, Average Loss  0.873199, Time  0.237588
2021-09-22 04:21:20.057907 : Epoch  2, Batch   1290, Loss  0.864912, Average Loss  0.873096, Time  0.250028
2021-09-22 04:21:22.753279 : Epoch  2, Batch   1291, Loss  0.873083, Average Loss  0.873135, Time  0.238855
2021-09-22 04:21:25.433043 : Epoch  2, Batch   1292, Loss  0.871844, Average Loss  0.873085, Time  0.237002
2021-09-22 04:21:28.145920 : Epoch  2, Batch   1293, Loss  0.886511, Average Loss  0.873197, Time  0.240609
2021-09-22 04:21:30.847375 : Epoch  2, Batch   1294, Loss  0.879582, Average Loss  0.873330, Time  0.238662
2021-09-22 04:21:33.553345 : Epoch  2, Batch   1295, Loss  0.865535, Average Loss  0.873276, Time  0.236711
2021-09-22 04:21:36.241442 : Epoch  2, Batch   1296, Loss  0.891068, Average Loss  0.873377, Time  0.236607
2021-09-22 04:21:38.993503 : Epoch  2, Batch   1297, Loss  0.879190, Average Loss  0.873450, Time  0.238678
2021-09-22 04:21:41.682660 : Epoch  2, Batch   1298, Loss  0.878250, Average Loss  0.873506, Time  0.235948
2021-09-22 04:21:44.367072 : Epoch  2, Batch   1299, Loss  0.849565, Average Loss  0.873304, Time  0.237015
2021-09-22 04:21:47.066028 : Epoch  2, Batch   1300, Loss  0.867865, Average Loss  0.873335, Time  0.237285
2021-09-22 04:21:49.753299 : Epoch  2, Batch   1301, Loss  0.880061, Average Loss  0.873357, Time  0.238191
2021-09-22 04:21:52.436391 : Epoch  2, Batch   1302, Loss  0.894240, Average Loss  0.873554, Time  0.235639
2021-09-22 04:21:55.117801 : Epoch  2, Batch   1303, Loss  0.873222, Average Loss  0.873505, Time  0.236776
2021-09-22 04:21:57.807462 : Epoch  2, Batch   1304, Loss  0.872107, Average Loss  0.873529, Time  0.236945
2021-09-22 04:22:00.495397 : Epoch  2, Batch   1305, Loss  0.857238, Average Loss  0.873437, Time  0.237708
2021-09-22 04:22:03.180802 : Epoch  2, Batch   1306, Loss  0.892804, Average Loss  0.873514, Time  0.237626
2021-09-22 04:22:05.873560 : Epoch  2, Batch   1307, Loss  0.875234, Average Loss  0.873635, Time  0.237117
2021-09-22 04:22:08.566290 : Epoch  2, Batch   1308, Loss  0.858908, Average Loss  0.873609, Time  0.236578
2021-09-22 04:22:11.245595 : Epoch  2, Batch   1309, Loss  0.864857, Average Loss  0.873641, Time  0.236696
2021-09-22 04:22:13.929930 : Epoch  2, Batch   1310, Loss  0.868234, Average Loss  0.873624, Time  0.237917
2021-09-22 04:22:16.613505 : Epoch  2, Batch   1311, Loss  0.901817, Average Loss  0.873810, Time  0.238081
2021-09-22 04:22:19.300163 : Epoch  2, Batch   1312, Loss  0.896905, Average Loss  0.873940, Time  0.237051
2021-09-22 04:22:21.984867 : Epoch  2, Batch   1313, Loss  0.854294, Average Loss  0.873832, Time  0.236532
2021-09-22 04:22:24.673909 : Epoch  2, Batch   1314, Loss  0.866509, Average Loss  0.873773, Time  0.237326
2021-09-22 04:22:27.355368 : Epoch  2, Batch   1315, Loss  0.880322, Average Loss  0.873911, Time  0.236223
2021-09-22 04:22:30.048081 : Epoch  2, Batch   1316, Loss  0.864785, Average Loss  0.873937, Time  0.235895
2021-09-22 04:22:32.739875 : Epoch  2, Batch   1317, Loss  0.870288, Average Loss  0.873874, Time  0.237561
2021-09-22 04:22:35.428938 : Epoch  2, Batch   1318, Loss  0.879555, Average Loss  0.874014, Time  0.237951
2021-09-22 04:22:38.126817 : Epoch  2, Batch   1319, Loss  0.888002, Average Loss  0.874013, Time  0.238085
2021-09-22 04:22:40.811139 : Epoch  2, Batch   1320, Loss  0.851644, Average Loss  0.874002, Time  0.236687
2021-09-22 04:22:43.496428 : Epoch  2, Batch   1321, Loss  0.873678, Average Loss  0.874067, Time  0.236438
2021-09-22 04:22:46.175661 : Epoch  2, Batch   1322, Loss  0.883800, Average Loss  0.874066, Time  0.235915
2021-09-22 04:22:48.854980 : Epoch  2, Batch   1323, Loss  0.877241, Average Loss  0.874074, Time  0.237983
2021-09-22 04:22:51.533834 : Epoch  2, Batch   1324, Loss  0.855946, Average Loss  0.874023, Time  0.236264
2021-09-22 04:22:54.215227 : Epoch  2, Batch   1325, Loss  0.882464, Average Loss  0.874092, Time  0.238688
2021-09-22 04:22:56.900470 : Epoch  2, Batch   1326, Loss  0.874199, Average Loss  0.874180, Time  0.237144
2021-09-22 04:22:59.591934 : Epoch  2, Batch   1327, Loss  0.873372, Average Loss  0.874176, Time  0.237660
2021-09-22 04:23:02.272068 : Epoch  2, Batch   1328, Loss  0.869112, Average Loss  0.874148, Time  0.236102
2021-09-22 04:23:04.958970 : Epoch  2, Batch   1329, Loss  0.869224, Average Loss  0.874152, Time  0.236776
2021-09-22 04:23:07.697833 : Epoch  2, Batch   1330, Loss  0.874533, Average Loss  0.874120, Time  0.237432
2021-09-22 04:23:10.381889 : Epoch  2, Batch   1331, Loss  0.865222, Average Loss  0.873986, Time  0.236410
2021-09-22 04:23:13.042809 : Epoch  2, Batch   1332, Loss  0.876952, Average Loss  0.874034, Time  0.235924
2021-09-22 04:23:15.711593 : Epoch  2, Batch   1333, Loss  0.855553, Average Loss  0.873899, Time  0.236215
2021-09-22 04:23:18.379619 : Epoch  2, Batch   1334, Loss  0.875312, Average Loss  0.873907, Time  0.236568
2021-09-22 04:23:21.075214 : Epoch  2, Batch   1335, Loss  0.887905, Average Loss  0.873945, Time  0.237116
2021-09-22 04:23:23.740244 : Epoch  2, Batch   1336, Loss  0.875341, Average Loss  0.873923, Time  0.236320
2021-09-22 04:23:26.408796 : Epoch  2, Batch   1337, Loss  0.872227, Average Loss  0.874013, Time  0.236237
2021-09-22 04:23:29.073426 : Epoch  2, Batch   1338, Loss  0.878914, Average Loss  0.873983, Time  0.236002
2021-09-22 04:23:31.733928 : Epoch  2, Batch   1339, Loss  0.859371, Average Loss  0.873949, Time  0.236865
2021-09-22 04:23:34.391627 : Epoch  2, Batch   1340, Loss  0.882178, Average Loss  0.873993, Time  0.235763
2021-09-22 04:23:37.061148 : Epoch  2, Batch   1341, Loss  0.858803, Average Loss  0.873975, Time  0.236776
2021-09-22 04:23:39.717809 : Epoch  2, Batch   1342, Loss  0.852792, Average Loss  0.873869, Time  0.235510
2021-09-22 04:23:42.371843 : Epoch  2, Batch   1343, Loss  0.875126, Average Loss  0.873850, Time  0.236028
2021-09-22 04:23:45.031391 : Epoch  2, Batch   1344, Loss  0.895303, Average Loss  0.873979, Time  0.235510
2021-09-22 04:27:55.543425 : CheckPoint: Validation Loss  0.00029877, Best Loss  0.00029586
2021-09-22 04:27:58.267158 : Epoch  2, Batch   1345, Loss  0.880429, Average Loss  0.874123, Time  0.267673
2021-09-22 04:28:00.940978 : Epoch  2, Batch   1346, Loss  0.866945, Average Loss  0.874185, Time  0.240101
2021-09-22 04:28:03.607997 : Epoch  2, Batch   1347, Loss  0.853753, Average Loss  0.874131, Time  0.236867
2021-09-22 04:28:06.272156 : Epoch  2, Batch   1348, Loss  0.879786, Average Loss  0.874219, Time  0.236440
2021-09-22 04:28:08.940046 : Epoch  2, Batch   1349, Loss  0.885732, Average Loss  0.874321, Time  0.236484
2021-09-22 04:28:11.613024 : Epoch  2, Batch   1350, Loss  0.874636, Average Loss  0.874355, Time  0.236207
2021-09-22 04:28:14.291859 : Epoch  2, Batch   1351, Loss  0.848679, Average Loss  0.874188, Time  0.236490
2021-09-22 04:28:16.966423 : Epoch  2, Batch   1352, Loss  0.884905, Average Loss  0.874187, Time  0.236394
2021-09-22 04:28:19.639938 : Epoch  2, Batch   1353, Loss  0.885409, Average Loss  0.874233, Time  0.236530
2021-09-22 04:28:22.308897 : Epoch  2, Batch   1354, Loss  0.898129, Average Loss  0.874348, Time  0.237002
2021-09-22 04:28:24.981028 : Epoch  2, Batch   1355, Loss  0.862965, Average Loss  0.874348, Time  0.236732
2021-09-22 04:28:27.648643 : Epoch  2, Batch   1356, Loss  0.878629, Average Loss  0.874431, Time  0.236379
2021-09-22 04:28:30.318408 : Epoch  2, Batch   1357, Loss  0.856047, Average Loss  0.874376, Time  0.236273
2021-09-22 04:28:32.991231 : Epoch  2, Batch   1358, Loss  0.857453, Average Loss  0.874279, Time  0.244888
2021-09-22 04:28:35.660107 : Epoch  2, Batch   1359, Loss  0.869444, Average Loss  0.874268, Time  0.236977
2021-09-22 04:28:38.330132 : Epoch  2, Batch   1360, Loss  0.865330, Average Loss  0.874222, Time  0.236446
2021-09-22 04:28:41.023111 : Epoch  2, Batch   1361, Loss  0.866512, Average Loss  0.874092, Time  0.237758
2021-09-22 04:28:43.713403 : Epoch  2, Batch   1362, Loss  0.902810, Average Loss  0.874228, Time  0.236598
2021-09-22 04:28:46.391024 : Epoch  2, Batch   1363, Loss  0.871687, Average Loss  0.874202, Time  0.237304
2021-09-22 04:28:49.058479 : Epoch  2, Batch   1364, Loss  0.883496, Average Loss  0.874217, Time  0.236465
2021-09-22 04:28:51.741046 : Epoch  2, Batch   1365, Loss  0.871179, Average Loss  0.874118, Time  0.236749
2021-09-22 04:28:54.459039 : Epoch  2, Batch   1366, Loss  0.871521, Average Loss  0.873966, Time  0.237855
2021-09-22 04:28:57.158830 : Epoch  2, Batch   1367, Loss  0.887920, Average Loss  0.874100, Time  0.239278
2021-09-22 04:28:59.820425 : Epoch  2, Batch   1368, Loss  0.868530, Average Loss  0.873997, Time  0.236406
2021-09-22 04:29:02.500813 : Epoch  2, Batch   1369, Loss  0.877515, Average Loss  0.874001, Time  0.236771
2021-09-22 04:29:05.160016 : Epoch  2, Batch   1370, Loss  0.873026, Average Loss  0.873975, Time  0.236728
2021-09-22 04:29:07.836935 : Epoch  2, Batch   1371, Loss  0.874017, Average Loss  0.873873, Time  0.236600
2021-09-22 04:29:10.508102 : Epoch  2, Batch   1372, Loss  0.874815, Average Loss  0.873785, Time  0.237109
2021-09-22 04:29:13.232375 : Epoch  2, Batch   1373, Loss  0.868747, Average Loss  0.873775, Time  0.258870
2021-09-22 04:29:15.908069 : Epoch  2, Batch   1374, Loss  0.881345, Average Loss  0.873811, Time  0.236896
2021-09-22 04:29:18.587096 : Epoch  2, Batch   1375, Loss  0.860385, Average Loss  0.873894, Time  0.236530
2021-09-22 04:29:21.264232 : Epoch  2, Batch   1376, Loss  0.896489, Average Loss  0.874027, Time  0.237223
2021-09-22 04:29:23.934920 : Epoch  2, Batch   1377, Loss  0.856565, Average Loss  0.873904, Time  0.236699
2021-09-22 04:29:26.606197 : Epoch  2, Batch   1378, Loss  0.893493, Average Loss  0.873979, Time  0.236632
2021-09-22 04:29:29.276081 : Epoch  2, Batch   1379, Loss  0.875069, Average Loss  0.873966, Time  0.238157
2021-09-22 04:29:31.962207 : Epoch  2, Batch   1380, Loss  0.881668, Average Loss  0.873987, Time  0.236579
2021-09-22 04:29:34.639391 : Epoch  2, Batch   1381, Loss  0.872914, Average Loss  0.873936, Time  0.236812
2021-09-22 04:29:37.320988 : Epoch  2, Batch   1382, Loss  0.863718, Average Loss  0.873975, Time  0.236241
2021-09-22 04:29:39.995795 : Epoch  2, Batch   1383, Loss  0.889090, Average Loss  0.874120, Time  0.237729
2021-09-22 04:29:42.670951 : Epoch  2, Batch   1384, Loss  0.864144, Average Loss  0.873979, Time  0.236731
2021-09-22 04:29:45.399809 : Epoch  2, Batch   1385, Loss  0.858125, Average Loss  0.873931, Time  0.237293
2021-09-22 04:29:48.069972 : Epoch  2, Batch   1386, Loss  0.863199, Average Loss  0.873964, Time  0.237016
2021-09-22 04:29:50.748237 : Epoch  2, Batch   1387, Loss  0.876594, Average Loss  0.873921, Time  0.236712
2021-09-22 04:29:53.412186 : Epoch  2, Batch   1388, Loss  0.888495, Average Loss  0.874068, Time  0.236152
2021-09-22 04:29:56.092454 : Epoch  2, Batch   1389, Loss  0.882696, Average Loss  0.874074, Time  0.237509
2021-09-22 04:29:58.788444 : Epoch  2, Batch   1390, Loss  0.862598, Average Loss  0.874140, Time  0.236137
2021-09-22 04:30:01.463733 : Epoch  2, Batch   1391, Loss  0.861138, Average Loss  0.874083, Time  0.236332
2021-09-22 04:30:04.137324 : Epoch  2, Batch   1392, Loss  0.871060, Average Loss  0.874012, Time  0.236092
2021-09-22 04:30:06.823734 : Epoch  2, Batch   1393, Loss  0.891765, Average Loss  0.874090, Time  0.237154
2021-09-22 04:30:09.508858 : Epoch  2, Batch   1394, Loss  0.890780, Average Loss  0.874157, Time  0.236855
2021-09-22 04:30:12.191200 : Epoch  2, Batch   1395, Loss  0.867006, Average Loss  0.874159, Time  0.236374
2021-09-22 04:30:14.872811 : Epoch  2, Batch   1396, Loss  0.867278, Average Loss  0.874247, Time  0.237234
2021-09-22 04:30:17.559446 : Epoch  2, Batch   1397, Loss  0.859294, Average Loss  0.874188, Time  0.237035
2021-09-22 04:30:20.236550 : Epoch  2, Batch   1398, Loss  0.887152, Average Loss  0.874147, Time  0.236092
2021-09-22 04:30:22.910180 : Epoch  2, Batch   1399, Loss  0.857534, Average Loss  0.874044, Time  0.237082
2021-09-22 04:30:25.595513 : Epoch  2, Batch   1400, Loss  0.872906, Average Loss  0.873910, Time  0.236705
2021-09-22 04:30:28.279248 : Epoch  2, Batch   1401, Loss  0.867063, Average Loss  0.873793, Time  0.236976
2021-09-22 04:30:30.955418 : Epoch  2, Batch   1402, Loss  0.878826, Average Loss  0.873834, Time  0.236591
2021-09-22 04:30:33.634415 : Epoch  2, Batch   1403, Loss  0.871517, Average Loss  0.873909, Time  0.236434
2021-09-22 04:30:36.311698 : Epoch  2, Batch   1404, Loss  0.887186, Average Loss  0.873952, Time  0.236650
2021-09-22 04:30:39.023957 : Epoch  2, Batch   1405, Loss  0.880309, Average Loss  0.874127, Time  0.236160
2021-09-22 04:30:41.695418 : Epoch  2, Batch   1406, Loss  0.860256, Average Loss  0.874058, Time  0.236776
2021-09-22 04:30:44.364389 : Epoch  2, Batch   1407, Loss  0.854980, Average Loss  0.874033, Time  0.237009
2021-09-22 04:30:47.051242 : Epoch  2, Batch   1408, Loss  0.896359, Average Loss  0.874207, Time  0.237526
2021-09-22 04:30:49.722422 : Epoch  2, Batch   1409, Loss  0.875771, Average Loss  0.874141, Time  0.237237
2021-09-22 04:30:52.403636 : Epoch  2, Batch   1410, Loss  0.884967, Average Loss  0.874189, Time  0.235821
2021-09-22 04:30:55.113897 : Epoch  2, Batch   1411, Loss  0.870785, Average Loss  0.874174, Time  0.236833
2021-09-22 04:30:57.795884 : Epoch  2, Batch   1412, Loss  0.855312, Average Loss  0.874066, Time  0.237188
2021-09-22 04:31:00.516186 : Epoch  2, Batch   1413, Loss  0.854680, Average Loss  0.873859, Time  0.236797
2021-09-22 04:31:03.191776 : Epoch  2, Batch   1414, Loss  0.880714, Average Loss  0.873937, Time  0.237990
2021-09-22 04:31:05.854034 : Epoch  2, Batch   1415, Loss  0.884018, Average Loss  0.874042, Time  0.239381
2021-09-22 04:31:08.532048 : Epoch  2, Batch   1416, Loss  0.871133, Average Loss  0.874001, Time  0.236368
2021-09-22 04:31:11.193425 : Epoch  2, Batch   1417, Loss  0.852804, Average Loss  0.873849, Time  0.236698
2021-09-22 04:31:13.861398 : Epoch  2, Batch   1418, Loss  0.868107, Average Loss  0.873887, Time  0.235367
2021-09-22 04:31:16.507426 : Epoch  2, Batch   1419, Loss  0.880608, Average Loss  0.873988, Time  0.235863
2021-09-22 04:31:19.169282 : Epoch  2, Batch   1420, Loss  0.876562, Average Loss  0.873936, Time  0.236475
2021-09-22 04:31:21.835494 : Epoch  2, Batch   1421, Loss  0.867199, Average Loss  0.873920, Time  0.235736
2021-09-22 04:31:24.546424 : Epoch  2, Batch   1422, Loss  0.855213, Average Loss  0.873875, Time  0.236307
2021-09-22 04:31:27.219021 : Epoch  2, Batch   1423, Loss  0.885568, Average Loss  0.873913, Time  0.236649
2021-09-22 04:31:29.885929 : Epoch  2, Batch   1424, Loss  0.859085, Average Loss  0.873862, Time  0.236284
2021-09-22 04:31:32.550398 : Epoch  2, Batch   1425, Loss  0.873284, Average Loss  0.873893, Time  0.236239
2021-09-22 04:31:35.211951 : Epoch  2, Batch   1426, Loss  0.881429, Average Loss  0.873826, Time  0.236964
2021-09-22 04:31:37.916925 : Epoch  2, Batch   1427, Loss  0.885264, Average Loss  0.873876, Time  0.237304
2021-09-22 04:31:40.609541 : Epoch  2, Batch   1428, Loss  0.877085, Average Loss  0.873881, Time  0.238276
2021-09-22 04:31:43.313390 : Epoch  2, Batch   1429, Loss  0.899228, Average Loss  0.874054, Time  0.236590
2021-09-22 04:31:45.979088 : Epoch  2, Batch   1430, Loss  0.861418, Average Loss  0.873861, Time  0.236841
2021-09-22 04:31:48.649442 : Epoch  2, Batch   1431, Loss  0.868833, Average Loss  0.873921, Time  0.236928
2021-09-22 04:31:51.317038 : Epoch  2, Batch   1432, Loss  0.885770, Average Loss  0.873953, Time  0.237129
2021-09-22 04:31:53.987922 : Epoch  2, Batch   1433, Loss  0.867841, Average Loss  0.873965, Time  0.236473
2021-09-22 04:31:56.660611 : Epoch  2, Batch   1434, Loss  0.870114, Average Loss  0.873850, Time  0.235950
2021-09-22 04:31:59.340923 : Epoch  2, Batch   1435, Loss  0.875910, Average Loss  0.873852, Time  0.237008
2021-09-22 04:32:02.056684 : Epoch  2, Batch   1436, Loss  0.895843, Average Loss  0.873845, Time  0.237546
2021-09-22 04:32:04.721425 : Epoch  2, Batch   1437, Loss  0.890771, Average Loss  0.873857, Time  0.236552
2021-09-22 04:32:07.400379 : Epoch  2, Batch   1438, Loss  0.893840, Average Loss  0.873983, Time  0.236161
2021-09-22 04:32:10.059837 : Epoch  2, Batch   1439, Loss  0.871701, Average Loss  0.873986, Time  0.235982
2021-09-22 04:32:12.717966 : Epoch  2, Batch   1440, Loss  0.878951, Average Loss  0.874026, Time  0.235817
2021-09-22 04:32:15.384857 : Epoch  2, Batch   1441, Loss  0.872411, Average Loss  0.874145, Time  0.237277
2021-09-22 04:32:18.062031 : Epoch  2, Batch   1442, Loss  0.856250, Average Loss  0.874048, Time  0.236894
2021-09-22 04:32:20.723393 : Epoch  2, Batch   1443, Loss  0.890983, Average Loss  0.874175, Time  0.236210
2021-09-22 04:32:23.386883 : Epoch  2, Batch   1444, Loss  0.869778, Average Loss  0.874273, Time  0.236569
2021-09-22 04:36:33.775038 : CheckPoint: Validation Loss  0.00030580, Best Loss  0.00029586
2021-09-22 04:36:36.552033 : Epoch  2, Batch   1445, Loss  0.858922, Average Loss  0.874146, Time  0.237668
2021-09-22 04:36:39.217384 : Epoch  2, Batch   1446, Loss  0.843639, Average Loss  0.873945, Time  0.236336
2021-09-22 04:36:41.889000 : Epoch  2, Batch   1447, Loss  0.866642, Average Loss  0.873832, Time  0.236554
2021-09-22 04:36:44.549975 : Epoch  2, Batch   1448, Loss  0.862829, Average Loss  0.873722, Time  0.235745
2021-09-22 04:36:47.213825 : Epoch  2, Batch   1449, Loss  0.852553, Average Loss  0.873507, Time  0.236963
2021-09-22 04:36:49.877987 : Epoch  2, Batch   1450, Loss  0.855679, Average Loss  0.873370, Time  0.236589
2021-09-22 04:36:52.555158 : Epoch  2, Batch   1451, Loss  0.875825, Average Loss  0.873378, Time  0.236745
2021-09-22 04:36:55.226424 : Epoch  2, Batch   1452, Loss  0.869098, Average Loss  0.873318, Time  0.236754
2021-09-22 04:36:57.886380 : Epoch  2, Batch   1453, Loss  0.859814, Average Loss  0.873346, Time  0.236814
2021-09-22 04:37:00.559403 : Epoch  2, Batch   1454, Loss  0.864854, Average Loss  0.873315, Time  0.236132
2021-09-22 04:37:03.214398 : Epoch  2, Batch   1455, Loss  0.891000, Average Loss  0.873355, Time  0.236451
2021-09-22 04:37:05.867324 : Epoch  2, Batch   1456, Loss  0.871677, Average Loss  0.873292, Time  0.235548
2021-09-22 04:37:08.544427 : Epoch  2, Batch   1457, Loss  0.883921, Average Loss  0.873326, Time  0.235621
2021-09-22 04:37:11.199293 : Epoch  2, Batch   1458, Loss  0.863979, Average Loss  0.873200, Time  0.236324
2021-09-22 04:37:13.856860 : Epoch  2, Batch   1459, Loss  0.876775, Average Loss  0.873148, Time  0.236363
2021-09-22 04:37:16.511982 : Epoch  2, Batch   1460, Loss  0.861311, Average Loss  0.873234, Time  0.236238
2021-09-22 04:37:19.185054 : Epoch  2, Batch   1461, Loss  0.880008, Average Loss  0.873411, Time  0.236783
2021-09-22 04:37:21.853922 : Epoch  2, Batch   1462, Loss  0.882327, Average Loss  0.873461, Time  0.237782
2021-09-22 04:37:24.537997 : Epoch  2, Batch   1463, Loss  0.858275, Average Loss  0.873383, Time  0.236397
2021-09-22 04:37:27.203081 : Epoch  2, Batch   1464, Loss  0.873355, Average Loss  0.873416, Time  0.237531
2021-09-22 04:37:29.875403 : Epoch  2, Batch   1465, Loss  0.858987, Average Loss  0.873258, Time  0.237374
2021-09-22 04:37:32.548539 : Epoch  2, Batch   1466, Loss  0.877168, Average Loss  0.873268, Time  0.236674
2021-09-22 04:37:35.210735 : Epoch  2, Batch   1467, Loss  0.870485, Average Loss  0.873158, Time  0.237483
2021-09-22 04:37:37.875991 : Epoch  2, Batch   1468, Loss  0.871523, Average Loss  0.873153, Time  0.236111
2021-09-22 04:37:40.538889 : Epoch  2, Batch   1469, Loss  0.868023, Average Loss  0.873063, Time  0.236775
2021-09-22 04:37:43.207857 : Epoch  2, Batch   1470, Loss  0.867403, Average Loss  0.873060, Time  0.235740
2021-09-22 04:37:45.873384 : Epoch  2, Batch   1471, Loss  0.874675, Average Loss  0.873013, Time  0.235650
2021-09-22 04:37:48.533421 : Epoch  2, Batch   1472, Loss  0.875214, Average Loss  0.872997, Time  0.236554
2021-09-22 04:37:51.221401 : Epoch  2, Batch   1473, Loss  0.895198, Average Loss  0.873122, Time  0.240242
2021-09-22 04:37:53.895246 : Epoch  2, Batch   1474, Loss  0.865547, Average Loss  0.873064, Time  0.236141
2021-09-22 04:37:56.561443 : Epoch  2, Batch   1475, Loss  0.870109, Average Loss  0.873033, Time  0.236789
2021-09-22 04:37:59.244398 : Epoch  2, Batch   1476, Loss  0.888272, Average Loss  0.873094, Time  0.236495
2021-09-22 04:38:01.900391 : Epoch  2, Batch   1477, Loss  0.857873, Average Loss  0.873067, Time  0.236707
2021-09-22 04:38:04.560631 : Epoch  2, Batch   1478, Loss  0.867780, Average Loss  0.873055, Time  0.236222
2021-09-22 04:38:07.226095 : Epoch  2, Batch   1479, Loss  0.875339, Average Loss  0.873138, Time  0.236580
2021-09-22 04:38:09.888142 : Epoch  2, Batch   1480, Loss  0.861119, Average Loss  0.873038, Time  0.236683
2021-09-22 04:38:12.543135 : Epoch  2, Batch   1481, Loss  0.867952, Average Loss  0.872928, Time  0.235800
2021-09-22 04:38:15.206352 : Epoch  2, Batch   1482, Loss  0.874196, Average Loss  0.873095, Time  0.236590
2021-09-22 04:38:17.899734 : Epoch  2, Batch   1483, Loss  0.861711, Average Loss  0.873071, Time  0.239438
2021-09-22 04:38:20.574059 : Epoch  2, Batch   1484, Loss  0.855198, Average Loss  0.872916, Time  0.236300
2021-09-22 04:38:23.247924 : Epoch  2, Batch   1485, Loss  0.878055, Average Loss  0.872949, Time  0.238122
2021-09-22 04:38:25.914820 : Epoch  2, Batch   1486, Loss  0.846647, Average Loss  0.872860, Time  0.236761
2021-09-22 04:38:28.582478 : Epoch  2, Batch   1487, Loss  0.860877, Average Loss  0.872729, Time  0.237272
2021-09-22 04:38:31.240501 : Epoch  2, Batch   1488, Loss  0.871405, Average Loss  0.872720, Time  0.235852
2021-09-22 04:38:33.908517 : Epoch  2, Batch   1489, Loss  0.862212, Average Loss  0.872684, Time  0.236870
2021-09-22 04:38:36.582449 : Epoch  2, Batch   1490, Loss  0.879666, Average Loss  0.872757, Time  0.236757
2021-09-22 04:38:39.243597 : Epoch  2, Batch   1491, Loss  0.882508, Average Loss  0.872804, Time  0.236253
2021-09-22 04:38:41.908176 : Epoch  2, Batch   1492, Loss  0.895981, Average Loss  0.872925, Time  0.237647
2021-09-22 04:38:44.566434 : Epoch  2, Batch   1493, Loss  0.885313, Average Loss  0.872919, Time  0.235786
2021-09-22 04:38:47.246992 : Epoch  2, Batch   1494, Loss  0.875237, Average Loss  0.872897, Time  0.236520
2021-09-22 04:38:49.908051 : Epoch  2, Batch   1495, Loss  0.881585, Average Loss  0.872978, Time  0.236695
2021-09-22 04:38:52.571902 : Epoch  2, Batch   1496, Loss  0.868308, Average Loss  0.872864, Time  0.236266
2021-09-22 04:38:55.233839 : Epoch  2, Batch   1497, Loss  0.868357, Average Loss  0.872810, Time  0.236889
2021-09-22 04:38:57.892400 : Epoch  2, Batch   1498, Loss  0.883217, Average Loss  0.872835, Time  0.235593
2021-09-22 04:39:00.555472 : Epoch  2, Batch   1499, Loss  0.847988, Average Loss  0.872827, Time  0.236532
2021-09-22 04:39:03.251857 : Epoch  2, Batch   1500, Loss  0.877512, Average Loss  0.872875, Time  0.237180
2021-09-22 04:39:05.917865 : Epoch  2, Batch   1501, Loss  0.866030, Average Loss  0.872805, Time  0.236717
2021-09-22 04:39:08.588403 : Epoch  2, Batch   1502, Loss  0.890111, Average Loss  0.872784, Time  0.236205
2021-09-22 04:39:11.246186 : Epoch  2, Batch   1503, Loss  0.896140, Average Loss  0.872899, Time  0.237246
2021-09-22 04:39:13.905034 : Epoch  2, Batch   1504, Loss  0.869151, Average Loss  0.872884, Time  0.235711
2021-09-22 04:39:16.561218 : Epoch  2, Batch   1505, Loss  0.868805, Average Loss  0.872942, Time  0.237124
2021-09-22 04:39:19.216051 : Epoch  2, Batch   1506, Loss  0.880672, Average Loss  0.872881, Time  0.236280
2021-09-22 04:39:21.885405 : Epoch  2, Batch   1507, Loss  0.859183, Average Loss  0.872801, Time  0.238077
2021-09-22 04:39:24.562965 : Epoch  2, Batch   1508, Loss  0.876548, Average Loss  0.872889, Time  0.236747
2021-09-22 04:39:27.224458 : Epoch  2, Batch   1509, Loss  0.874948, Average Loss  0.872940, Time  0.237177
2021-09-22 04:39:29.890096 : Epoch  2, Batch   1510, Loss  0.892086, Average Loss  0.873059, Time  0.237149
2021-09-22 04:39:32.553605 : Epoch  2, Batch   1511, Loss  0.884840, Average Loss  0.872974, Time  0.236866
2021-09-22 04:39:35.227081 : Epoch  2, Batch   1512, Loss  0.896972, Average Loss  0.872974, Time  0.237313
2021-09-22 04:39:37.899515 : Epoch  2, Batch   1513, Loss  0.864694, Average Loss  0.873026, Time  0.236503
2021-09-22 04:39:40.589088 : Epoch  2, Batch   1514, Loss  0.857816, Average Loss  0.872983, Time  0.236334
2021-09-22 04:39:43.264106 : Epoch  2, Batch   1515, Loss  0.883726, Average Loss  0.873000, Time  0.236821
2021-09-22 04:39:45.933617 : Epoch  2, Batch   1516, Loss  0.889863, Average Loss  0.873125, Time  0.236338
2021-09-22 04:39:48.587098 : Epoch  2, Batch   1517, Loss  0.887754, Average Loss  0.873213, Time  0.236873
2021-09-22 04:39:51.247051 : Epoch  2, Batch   1518, Loss  0.886438, Average Loss  0.873247, Time  0.236539
2021-09-22 04:39:53.935391 : Epoch  2, Batch   1519, Loss  0.882843, Average Loss  0.873221, Time  0.237783
2021-09-22 04:39:56.604336 : Epoch  2, Batch   1520, Loss  0.881015, Average Loss  0.873368, Time  0.236384
2021-09-22 04:39:59.265002 : Epoch  2, Batch   1521, Loss  0.856489, Average Loss  0.873282, Time  0.236679
2021-09-22 04:40:01.935911 : Epoch  2, Batch   1522, Loss  0.854778, Average Loss  0.873137, Time  0.239656
2021-09-22 04:40:04.602543 : Epoch  2, Batch   1523, Loss  0.864324, Average Loss  0.873072, Time  0.237043
2021-09-22 04:40:07.274995 : Epoch  2, Batch   1524, Loss  0.855831, Average Loss  0.873072, Time  0.236640
2021-09-22 04:40:09.948386 : Epoch  2, Batch   1525, Loss  0.879252, Average Loss  0.873056, Time  0.236301
2021-09-22 04:40:12.610269 : Epoch  2, Batch   1526, Loss  0.896722, Average Loss  0.873168, Time  0.236320
2021-09-22 04:40:15.274915 : Epoch  2, Batch   1527, Loss  0.865688, Average Loss  0.873130, Time  0.236584
2021-09-22 04:40:17.945403 : Epoch  2, Batch   1528, Loss  0.897663, Average Loss  0.873273, Time  0.236583
2021-09-22 04:40:20.608500 : Epoch  2, Batch   1529, Loss  0.892209, Average Loss  0.873388, Time  0.236998
2021-09-22 04:40:23.283869 : Epoch  2, Batch   1530, Loss  0.828474, Average Loss  0.873157, Time  0.237773
2021-09-22 04:40:25.960396 : Epoch  2, Batch   1531, Loss  0.863951, Average Loss  0.873151, Time  0.235927
2021-09-22 04:40:28.630685 : Epoch  2, Batch   1532, Loss  0.864368, Average Loss  0.873088, Time  0.237011
2021-09-22 04:40:31.300042 : Epoch  2, Batch   1533, Loss  0.867954, Average Loss  0.873150, Time  0.239845
2021-09-22 04:40:33.969384 : Epoch  2, Batch   1534, Loss  0.862447, Average Loss  0.873086, Time  0.237364
2021-09-22 04:40:36.661912 : Epoch  2, Batch   1535, Loss  0.892992, Average Loss  0.873111, Time  0.236840
2021-09-22 04:40:39.346432 : Epoch  2, Batch   1536, Loss  0.864239, Average Loss  0.873056, Time  0.235871
2021-09-22 04:40:42.031396 : Epoch  2, Batch   1537, Loss  0.890691, Average Loss  0.873148, Time  0.236660
2021-09-22 04:40:44.690404 : Epoch  2, Batch   1538, Loss  0.890847, Average Loss  0.873208, Time  0.235948
2021-09-22 04:40:47.356924 : Epoch  2, Batch   1539, Loss  0.903981, Average Loss  0.873431, Time  0.236711
2021-09-22 04:40:50.025539 : Epoch  2, Batch   1540, Loss  0.875154, Average Loss  0.873396, Time  0.235603
2021-09-22 04:40:52.693402 : Epoch  2, Batch   1541, Loss  0.876043, Average Loss  0.873482, Time  0.235834
2021-09-22 04:40:55.349907 : Epoch  2, Batch   1542, Loss  0.890665, Average Loss  0.873671, Time  0.236543
2021-09-22 04:40:58.020653 : Epoch  2, Batch   1543, Loss  0.881459, Average Loss  0.873703, Time  0.236397
2021-09-22 04:41:00.719371 : Epoch  2, Batch   1544, Loss  0.860888, Average Loss  0.873531, Time  0.236516
2021-09-22 04:45:12.250756 : CheckPoint: Validation Loss  0.00031310, Best Loss  0.00029586
2021-09-22 04:45:14.935008 : Epoch  2, Batch   1545, Loss  0.856262, Average Loss  0.873410, Time  0.237682
2021-09-22 04:45:17.587024 : Epoch  2, Batch   1546, Loss  0.874519, Average Loss  0.873448, Time  0.236364
2021-09-22 04:45:20.239552 : Epoch  2, Batch   1547, Loss  0.860216, Average Loss  0.873480, Time  0.236624
2021-09-22 04:45:22.892018 : Epoch  2, Batch   1548, Loss  0.874052, Average Loss  0.873451, Time  0.236259
2021-09-22 04:45:25.561993 : Epoch  2, Batch   1549, Loss  0.850314, Average Loss  0.873274, Time  0.236594
2021-09-22 04:45:28.257938 : Epoch  2, Batch   1550, Loss  0.866518, Average Loss  0.873234, Time  0.236695
2021-09-22 04:45:30.933053 : Epoch  2, Batch   1551, Loss  0.883213, Average Loss  0.873406, Time  0.236636
2021-09-22 04:45:33.608638 : Epoch  2, Batch   1552, Loss  0.879588, Average Loss  0.873380, Time  0.236272
2021-09-22 04:45:36.260919 : Epoch  2, Batch   1553, Loss  0.879789, Average Loss  0.873352, Time  0.236066
2021-09-22 04:45:38.946387 : Epoch  2, Batch   1554, Loss  0.880998, Average Loss  0.873266, Time  0.235730
2021-09-22 04:45:41.609608 : Epoch  2, Batch   1555, Loss  0.876049, Average Loss  0.873331, Time  0.237033
2021-09-22 04:45:44.254844 : Epoch  2, Batch   1556, Loss  0.880922, Average Loss  0.873343, Time  0.235610
2021-09-22 04:45:46.908984 : Epoch  2, Batch   1557, Loss  0.871191, Average Loss  0.873419, Time  0.236416
2021-09-22 04:45:49.557019 : Epoch  2, Batch   1558, Loss  0.894844, Average Loss  0.873606, Time  0.236120
2021-09-22 04:45:52.190266 : Epoch  2, Batch   1559, Loss  0.866044, Average Loss  0.873589, Time  0.236971
2021-09-22 04:45:54.846901 : Epoch  2, Batch   1560, Loss  0.886706, Average Loss  0.873695, Time  0.236311
2021-09-22 04:45:57.503282 : Epoch  2, Batch   1561, Loss  0.856686, Average Loss  0.873646, Time  0.236438
2021-09-22 04:46:00.172122 : Epoch  2, Batch   1562, Loss  0.882360, Average Loss  0.873544, Time  0.236386
2021-09-22 04:46:02.821243 : Epoch  2, Batch   1563, Loss  0.872317, Average Loss  0.873547, Time  0.237783
2021-09-22 04:46:05.477418 : Epoch  2, Batch   1564, Loss  0.874216, Average Loss  0.873501, Time  0.236418
2021-09-22 04:46:08.130885 : Epoch  2, Batch   1565, Loss  0.889270, Average Loss  0.873591, Time  0.237612
2021-09-22 04:46:10.775668 : Epoch  2, Batch   1566, Loss  0.862114, Average Loss  0.873544, Time  0.236131
2021-09-22 04:46:13.423922 : Epoch  2, Batch   1567, Loss  0.857605, Average Loss  0.873393, Time  0.237412
2021-09-22 04:46:16.071667 : Epoch  2, Batch   1568, Loss  0.874072, Average Loss  0.873420, Time  0.237335
2021-09-22 04:46:18.726612 : Epoch  2, Batch   1569, Loss  0.865898, Average Loss  0.873362, Time  0.237451
2021-09-22 04:46:21.376394 : Epoch  2, Batch   1570, Loss  0.867488, Average Loss  0.873335, Time  0.236994
2021-09-22 04:46:24.022395 : Epoch  2, Batch   1571, Loss  0.887113, Average Loss  0.873400, Time  0.236015
2021-09-22 04:46:26.676406 : Epoch  2, Batch   1572, Loss  0.887879, Average Loss  0.873465, Time  0.235893
2021-09-22 04:46:29.345408 : Epoch  2, Batch   1573, Loss  0.888417, Average Loss  0.873564, Time  0.237655
2021-09-22 04:46:32.000683 : Epoch  2, Batch   1574, Loss  0.884052, Average Loss  0.873577, Time  0.236505
2021-09-22 04:46:34.649834 : Epoch  2, Batch   1575, Loss  0.881169, Average Loss  0.873681, Time  0.236891
2021-09-22 04:46:37.315122 : Epoch  2, Batch   1576, Loss  0.902278, Average Loss  0.873710, Time  0.236559
2021-09-22 04:46:39.957892 : Epoch  2, Batch   1577, Loss  0.892447, Average Loss  0.873890, Time  0.236470
2021-09-22 04:46:42.624049 : Epoch  2, Batch   1578, Loss  0.881515, Average Loss  0.873830, Time  0.236730
2021-09-22 04:46:45.268399 : Epoch  2, Batch   1579, Loss  0.882914, Average Loss  0.873869, Time  0.235970
2021-09-22 04:46:47.920790 : Epoch  2, Batch   1580, Loss  0.853061, Average Loss  0.873726, Time  0.235637
2021-09-22 04:46:50.585486 : Epoch  2, Batch   1581, Loss  0.851619, Average Loss  0.873619, Time  0.237299
2021-09-22 04:46:53.245014 : Epoch  2, Batch   1582, Loss  0.857916, Average Loss  0.873590, Time  0.236775
2021-09-22 04:46:55.913970 : Epoch  2, Batch   1583, Loss  0.875530, Average Loss  0.873523, Time  0.236193
2021-09-22 04:46:58.586529 : Epoch  2, Batch   1584, Loss  0.867855, Average Loss  0.873541, Time  0.236243
2021-09-22 04:47:01.258040 : Epoch  2, Batch   1585, Loss  0.874094, Average Loss  0.873621, Time  0.236427
2021-09-22 04:47:03.907981 : Epoch  2, Batch   1586, Loss  0.859305, Average Loss  0.873602, Time  0.237688
2021-09-22 04:47:06.549839 : Epoch  2, Batch   1587, Loss  0.860029, Average Loss  0.873519, Time  0.236859
2021-09-22 04:47:09.211376 : Epoch  2, Batch   1588, Loss  0.872049, Average Loss  0.873436, Time  0.237525
2021-09-22 04:47:11.855099 : Epoch  2, Batch   1589, Loss  0.866292, Average Loss  0.873354, Time  0.237313
2021-09-22 04:47:14.522421 : Epoch  2, Batch   1590, Loss  0.875023, Average Loss  0.873417, Time  0.236737
2021-09-22 04:47:17.167984 : Epoch  2, Batch   1591, Loss  0.858168, Average Loss  0.873402, Time  0.237221
2021-09-22 04:47:19.819903 : Epoch  2, Batch   1592, Loss  0.861394, Average Loss  0.873353, Time  0.235974
2021-09-22 04:47:22.471608 : Epoch  2, Batch   1593, Loss  0.866053, Average Loss  0.873225, Time  0.236701
2021-09-22 04:47:25.115200 : Epoch  2, Batch   1594, Loss  0.865472, Average Loss  0.873098, Time  0.236695
2021-09-22 04:47:27.797208 : Epoch  2, Batch   1595, Loss  0.851895, Average Loss  0.873023, Time  0.236933
2021-09-22 04:47:30.446405 : Epoch  2, Batch   1596, Loss  0.870415, Average Loss  0.873038, Time  0.236470
2021-09-22 04:47:33.137388 : Epoch  2, Batch   1597, Loss  0.885496, Average Loss  0.873169, Time  0.236553
2021-09-22 04:47:35.794904 : Epoch  2, Batch   1598, Loss  0.876487, Average Loss  0.873116, Time  0.236536
2021-09-22 04:47:38.458409 : Epoch  2, Batch   1599, Loss  0.882867, Average Loss  0.873243, Time  0.236243
2021-09-22 04:47:41.122893 : Epoch  2, Batch   1600, Loss  0.884829, Average Loss  0.873302, Time  0.235439
2021-09-22 04:47:43.779849 : Epoch  2, Batch   1601, Loss  0.863128, Average Loss  0.873283, Time  0.236632
2021-09-22 04:47:46.423625 : Epoch  2, Batch   1602, Loss  0.880685, Average Loss  0.873292, Time  0.236642
2021-09-22 04:47:49.079992 : Epoch  2, Batch   1603, Loss  0.881931, Average Loss  0.873344, Time  0.236355
2021-09-22 04:47:51.731993 : Epoch  2, Batch   1604, Loss  0.891301, Average Loss  0.873365, Time  0.235690
2021-09-22 04:47:54.380424 : Epoch  2, Batch   1605, Loss  0.869430, Average Loss  0.873310, Time  0.237547
2021-09-22 04:47:57.038023 : Epoch  2, Batch   1606, Loss  0.858196, Average Loss  0.873300, Time  0.236998
2021-09-22 04:47:59.686054 : Epoch  2, Batch   1607, Loss  0.883893, Average Loss  0.873445, Time  0.235754
2021-09-22 04:48:00.966191 : Epoch  2, Batch   1608, Loss  0.853245, Average Loss  0.873229, Time  0.140176
2021-09-22 04:48:03.609832 : Epoch  2, Batch   1609, Loss  0.870562, Average Loss  0.873203, Time  0.237150
2021-09-22 04:48:06.250132 : Epoch  2, Batch   1610, Loss  0.888097, Average Loss  0.873219, Time  0.235926
2021-09-22 04:48:09.077424 : Epoch  2, Batch   1611, Loss  0.868781, Average Loss  0.873209, Time  0.257030
2021-09-22 04:48:11.705013 : Epoch  2, Batch   1612, Loss  0.875055, Average Loss  0.873307, Time  0.245316
2021-09-22 04:48:14.339618 : Epoch  2, Batch   1613, Loss  0.872333, Average Loss  0.873396, Time  0.236161
2021-09-22 04:48:16.966372 : Epoch  2, Batch   1614, Loss  0.872199, Average Loss  0.873353, Time  0.237674
2021-09-22 04:48:19.609225 : Epoch  2, Batch   1615, Loss  0.862800, Average Loss  0.873247, Time  0.235739
2021-09-22 04:48:22.232259 : Epoch  2, Batch   1616, Loss  0.883461, Average Loss  0.873308, Time  0.235812
2021-09-22 04:48:24.896719 : Epoch  2, Batch   1617, Loss  0.867659, Average Loss  0.873383, Time  0.235738
2021-09-22 04:48:27.522231 : Epoch  2, Batch   1618, Loss  0.866180, Average Loss  0.873373, Time  0.235950
2021-09-22 04:48:30.148120 : Epoch  2, Batch   1619, Loss  0.851236, Average Loss  0.873226, Time  0.235819
2021-09-22 04:48:32.783424 : Epoch  2, Batch   1620, Loss  0.880103, Average Loss  0.873244, Time  0.236544
2021-09-22 04:48:35.416213 : Epoch  2, Batch   1621, Loss  0.868998, Average Loss  0.873253, Time  0.235842
2021-09-22 04:48:38.058951 : Epoch  2, Batch   1622, Loss  0.876984, Average Loss  0.873362, Time  0.236838
2021-09-22 04:48:40.697879 : Epoch  2, Batch   1623, Loss  0.861417, Average Loss  0.873241, Time  0.236632
2021-09-22 04:48:43.321017 : Epoch  2, Batch   1624, Loss  0.861527, Average Loss  0.873253, Time  0.236267
2021-09-22 04:48:45.944435 : Epoch  2, Batch   1625, Loss  0.867916, Average Loss  0.873226, Time  0.236119
2021-09-22 04:48:48.571694 : Epoch  2, Batch   1626, Loss  0.883516, Average Loss  0.873237, Time  0.235750
2021-09-22 04:48:51.244989 : Epoch  2, Batch   1627, Loss  0.879353, Average Loss  0.873207, Time  0.236524
2021-09-22 04:48:53.886089 : Epoch  2, Batch   1628, Loss  0.884399, Average Loss  0.873244, Time  0.237390
2021-09-22 04:48:56.522873 : Epoch  2, Batch   1629, Loss  0.890028, Average Loss  0.873198, Time  0.235788
2021-09-22 04:48:59.169930 : Epoch  2, Batch   1630, Loss  0.895258, Average Loss  0.873367, Time  0.236343
2021-09-22 04:49:01.813840 : Epoch  2, Batch   1631, Loss  0.892951, Average Loss  0.873488, Time  0.236336
2021-09-22 04:49:04.454382 : Epoch  2, Batch   1632, Loss  0.857577, Average Loss  0.873347, Time  0.237177
2021-09-22 04:49:07.090230 : Epoch  2, Batch   1633, Loss  0.874435, Average Loss  0.873380, Time  0.236232
2021-09-22 04:49:09.722087 : Epoch  2, Batch   1634, Loss  0.868441, Average Loss  0.873371, Time  0.237536
2021-09-22 04:49:12.357424 : Epoch  2, Batch   1635, Loss  0.863883, Average Loss  0.873311, Time  0.236105
2021-09-22 04:49:14.998038 : Epoch  2, Batch   1636, Loss  0.873201, Average Loss  0.873198, Time  0.236385
2021-09-22 04:49:17.652924 : Epoch  2, Batch   1637, Loss  0.879483, Average Loss  0.873142, Time  0.236238
2021-09-22 04:49:20.287650 : Epoch  2, Batch   1638, Loss  0.873913, Average Loss  0.873042, Time  0.236577
2021-09-22 04:49:22.924741 : Epoch  2, Batch   1639, Loss  0.870204, Average Loss  0.873034, Time  0.236777
2021-09-22 04:49:25.575916 : Epoch  2, Batch   1640, Loss  0.869210, Average Loss  0.872986, Time  0.236963
2021-09-22 04:49:28.229782 : Epoch  2, Batch   1641, Loss  0.872168, Average Loss  0.872984, Time  0.236967
2021-09-22 04:49:30.878824 : Epoch  2, Batch   1642, Loss  0.861711, Average Loss  0.873012, Time  0.236508
2021-09-22 04:49:33.531230 : Epoch  2, Batch   1643, Loss  0.877474, Average Loss  0.872944, Time  0.236349
2021-09-22 04:49:36.187013 : Epoch  2, Batch   1644, Loss  0.867893, Average Loss  0.872935, Time  0.237164
2021-09-22 04:53:48.712742 : CheckPoint: Validation Loss  0.00029937, Best Loss  0.00029586
2021-09-22 04:53:51.381959 : Epoch  2, Batch   1645, Loss  0.878131, Average Loss  0.873031, Time  0.238064
2021-09-22 04:53:54.034971 : Epoch  2, Batch   1646, Loss  0.892451, Average Loss  0.873275, Time  0.236594
2021-09-22 04:53:56.686167 : Epoch  2, Batch   1647, Loss  0.863847, Average Loss  0.873261, Time  0.236414
2021-09-22 04:53:59.323388 : Epoch  2, Batch   1648, Loss  0.867359, Average Loss  0.873284, Time  0.236952
2021-09-22 04:54:01.957478 : Epoch  2, Batch   1649, Loss  0.874185, Average Loss  0.873392, Time  0.236014
2021-09-22 04:54:04.600592 : Epoch  2, Batch   1650, Loss  0.870146, Average Loss  0.873464, Time  0.236357
2021-09-22 04:54:07.228878 : Epoch  2, Batch   1651, Loss  0.871921, Average Loss  0.873445, Time  0.235586
2021-09-22 04:54:09.886822 : Epoch  2, Batch   1652, Loss  0.859213, Average Loss  0.873395, Time  0.235963
2021-09-22 04:54:12.536008 : Epoch  2, Batch   1653, Loss  0.861490, Average Loss  0.873404, Time  0.235731
2021-09-22 04:54:15.169424 : Epoch  2, Batch   1654, Loss  0.852668, Average Loss  0.873343, Time  0.236067
2021-09-22 04:54:17.805206 : Epoch  2, Batch   1655, Loss  0.842027, Average Loss  0.873098, Time  0.236813
2021-09-22 04:54:20.435739 : Epoch  2, Batch   1656, Loss  0.857082, Average Loss  0.873025, Time  0.235781
2021-09-22 04:54:23.062945 : Epoch  2, Batch   1657, Loss  0.873874, Average Loss  0.872975, Time  0.235927
2021-09-22 04:54:25.700105 : Epoch  2, Batch   1658, Loss  0.889176, Average Loss  0.873101, Time  0.235693
2021-09-22 04:54:28.346917 : Epoch  2, Batch   1659, Loss  0.874808, Average Loss  0.873091, Time  0.236755
2021-09-22 04:54:31.004588 : Epoch  2, Batch   1660, Loss  0.861875, Average Loss  0.873094, Time  0.236730
2021-09-22 04:54:33.665100 : Epoch  2, Batch   1661, Loss  0.849536, Average Loss  0.872941, Time  0.236622
2021-09-22 04:54:36.326076 : Epoch  2, Batch   1662, Loss  0.865275, Average Loss  0.872856, Time  0.236665
2021-09-22 04:54:38.985426 : Epoch  2, Batch   1663, Loss  0.872064, Average Loss  0.872925, Time  0.242633
2021-09-22 04:54:41.645898 : Epoch  2, Batch   1664, Loss  0.884603, Average Loss  0.872981, Time  0.237463
2021-09-22 04:54:44.332007 : Epoch  2, Batch   1665, Loss  0.888996, Average Loss  0.873131, Time  0.237227
2021-09-22 04:54:47.012148 : Epoch  2, Batch   1666, Loss  0.864530, Average Loss  0.873068, Time  0.235802
2021-09-22 04:54:49.667916 : Epoch  2, Batch   1667, Loss  0.848660, Average Loss  0.872959, Time  0.237215
2021-09-22 04:54:52.321854 : Epoch  2, Batch   1668, Loss  0.847343, Average Loss  0.872838, Time  0.236617
2021-09-22 04:54:54.989502 : Epoch  2, Batch   1669, Loss  0.870363, Average Loss  0.872850, Time  0.239533
2021-09-22 04:54:57.643686 : Epoch  2, Batch   1670, Loss  0.877121, Average Loss  0.872898, Time  0.236266
2021-09-22 04:55:00.284454 : Epoch  2, Batch   1671, Loss  0.862846, Average Loss  0.872839, Time  0.236354
2021-09-22 04:55:02.933537 : Epoch  2, Batch   1672, Loss  0.877906, Average Loss  0.872853, Time  0.238894
2021-09-22 04:55:05.598585 : Epoch  2, Batch   1673, Loss  0.849716, Average Loss  0.872625, Time  0.236459
2021-09-22 04:55:08.285860 : Epoch  2, Batch   1674, Loss  0.850204, Average Loss  0.872548, Time  0.236251
2021-09-22 04:55:10.917866 : Epoch  2, Batch   1675, Loss  0.895688, Average Loss  0.872676, Time  0.235651
2021-09-22 04:55:13.559586 : Epoch  2, Batch   1676, Loss  0.900415, Average Loss  0.872737, Time  0.235406
2021-09-22 04:55:16.230837 : Epoch  2, Batch   1677, Loss  0.861217, Average Loss  0.872754, Time  0.236084
2021-09-22 04:55:18.872028 : Epoch  2, Batch   1678, Loss  0.878084, Average Loss  0.872805, Time  0.237437
2021-09-22 04:55:21.544070 : Epoch  2, Batch   1679, Loss  0.872793, Average Loss  0.872793, Time  0.237592
2021-09-22 04:55:24.197817 : Epoch  2, Batch   1680, Loss  0.874763, Average Loss  0.872861, Time  0.236864
2021-09-22 04:55:26.849875 : Epoch  2, Batch   1681, Loss  0.868531, Average Loss  0.872864, Time  0.235669
2021-09-22 04:55:29.502391 : Epoch  2, Batch   1682, Loss  0.882402, Average Loss  0.872905, Time  0.236166
2021-09-22 04:55:32.159928 : Epoch  2, Batch   1683, Loss  0.847962, Average Loss  0.872836, Time  0.236497
2021-09-22 04:55:34.815801 : Epoch  2, Batch   1684, Loss  0.869733, Average Loss  0.872909, Time  0.237200
2021-09-22 04:55:37.466918 : Epoch  2, Batch   1685, Loss  0.865809, Average Loss  0.872847, Time  0.235802
2021-09-22 04:55:40.135847 : Epoch  2, Batch   1686, Loss  0.885127, Average Loss  0.873040, Time  0.239513
2021-09-22 04:55:42.800977 : Epoch  2, Batch   1687, Loss  0.893369, Average Loss  0.873202, Time  0.237206
2021-09-22 04:55:45.465821 : Epoch  2, Batch   1688, Loss  0.873512, Average Loss  0.873213, Time  0.236725
2021-09-22 04:55:48.158915 : Epoch  2, Batch   1689, Loss  0.867230, Average Loss  0.873238, Time  0.240063
2021-09-22 04:55:50.865871 : Epoch  2, Batch   1690, Loss  0.860371, Average Loss  0.873141, Time  0.237688
2021-09-22 04:55:53.549823 : Epoch  2, Batch   1691, Loss  0.870906, Average Loss  0.873083, Time  0.236246
2021-09-22 04:55:56.224832 : Epoch  2, Batch   1692, Loss  0.868938, Average Loss  0.872948, Time  0.236938
2021-09-22 04:55:58.890249 : Epoch  2, Batch   1693, Loss  0.858652, Average Loss  0.872815, Time  0.236802
2021-09-22 04:56:01.550888 : Epoch  2, Batch   1694, Loss  0.874536, Average Loss  0.872811, Time  0.237528
2021-09-22 04:56:04.213940 : Epoch  2, Batch   1695, Loss  0.855546, Average Loss  0.872681, Time  0.236939
2021-09-22 04:56:06.871264 : Epoch  2, Batch   1696, Loss  0.882843, Average Loss  0.872754, Time  0.237453
2021-09-22 04:56:09.536295 : Epoch  2, Batch   1697, Loss  0.865772, Average Loss  0.872741, Time  0.235875
2021-09-22 04:56:12.199423 : Epoch  2, Batch   1698, Loss  0.865981, Average Loss  0.872655, Time  0.236639
2021-09-22 04:56:14.849429 : Epoch  2, Batch   1699, Loss  0.873243, Average Loss  0.872781, Time  0.235726
2021-09-22 04:56:17.515001 : Epoch  2, Batch   1700, Loss  0.868349, Average Loss  0.872735, Time  0.237087
2021-09-22 04:56:20.166087 : Epoch  2, Batch   1701, Loss  0.884180, Average Loss  0.872826, Time  0.236060
2021-09-22 04:56:22.826077 : Epoch  2, Batch   1702, Loss  0.865653, Average Loss  0.872704, Time  0.236905
2021-09-22 04:56:25.478500 : Epoch  2, Batch   1703, Loss  0.863243, Average Loss  0.872539, Time  0.236827
2021-09-22 04:56:28.125479 : Epoch  2, Batch   1704, Loss  0.871394, Average Loss  0.872550, Time  0.235870
2021-09-22 04:56:30.785021 : Epoch  2, Batch   1705, Loss  0.854520, Average Loss  0.872479, Time  0.236381
2021-09-22 04:56:33.443377 : Epoch  2, Batch   1706, Loss  0.873365, Average Loss  0.872442, Time  0.235733
2021-09-22 04:56:36.093029 : Epoch  2, Batch   1707, Loss  0.862236, Average Loss  0.872458, Time  0.236602
2021-09-22 04:56:38.750853 : Epoch  2, Batch   1708, Loss  0.895267, Average Loss  0.872551, Time  0.236987
2021-09-22 04:56:41.401246 : Epoch  2, Batch   1709, Loss  0.878748, Average Loss  0.872570, Time  0.235497
2021-09-22 04:56:44.067108 : Epoch  2, Batch   1710, Loss  0.872093, Average Loss  0.872470, Time  0.237078
2021-09-22 04:56:46.793396 : Epoch  2, Batch   1711, Loss  0.871741, Average Loss  0.872405, Time  0.236507
2021-09-22 04:56:49.457463 : Epoch  2, Batch   1712, Loss  0.858208, Average Loss  0.872211, Time  0.237325
2021-09-22 04:56:52.151108 : Epoch  2, Batch   1713, Loss  0.880336, Average Loss  0.872289, Time  0.236621
2021-09-22 04:56:54.802813 : Epoch  2, Batch   1714, Loss  0.873868, Average Loss  0.872369, Time  0.236261
2021-09-22 04:56:57.453148 : Epoch  2, Batch   1715, Loss  0.863362, Average Loss  0.872268, Time  0.236627
2021-09-22 04:57:00.135248 : Epoch  2, Batch   1716, Loss  0.856194, Average Loss  0.872099, Time  0.237770
2021-09-22 04:57:02.811182 : Epoch  2, Batch   1717, Loss  0.875610, Average Loss  0.872039, Time  0.236140
2021-09-22 04:57:05.462390 : Epoch  2, Batch   1718, Loss  0.873246, Average Loss  0.871973, Time  0.235694
2021-09-22 04:57:08.108117 : Epoch  2, Batch   1719, Loss  0.880552, Average Loss  0.871961, Time  0.236605
2021-09-22 04:57:10.764408 : Epoch  2, Batch   1720, Loss  0.873005, Average Loss  0.871921, Time  0.236276
2021-09-22 04:57:13.427922 : Epoch  2, Batch   1721, Loss  0.869809, Average Loss  0.871988, Time  0.238714
2021-09-22 04:57:16.073210 : Epoch  2, Batch   1722, Loss  0.880415, Average Loss  0.872116, Time  0.236052
2021-09-22 04:57:18.733379 : Epoch  2, Batch   1723, Loss  0.854059, Average Loss  0.872065, Time  0.237206
2021-09-22 04:57:21.387392 : Epoch  2, Batch   1724, Loss  0.879885, Average Loss  0.872185, Time  0.235529
2021-09-22 04:57:24.028134 : Epoch  2, Batch   1725, Loss  0.886920, Average Loss  0.872223, Time  0.236150
2021-09-22 04:57:26.685013 : Epoch  2, Batch   1726, Loss  0.870822, Average Loss  0.872094, Time  0.236903
2021-09-22 04:57:29.335806 : Epoch  2, Batch   1727, Loss  0.872030, Average Loss  0.872125, Time  0.236999
2021-09-22 04:57:31.996969 : Epoch  2, Batch   1728, Loss  0.844374, Average Loss  0.871859, Time  0.236721
2021-09-22 04:57:34.657418 : Epoch  2, Batch   1729, Loss  0.882000, Average Loss  0.871808, Time  0.236264
2021-09-22 04:57:37.311820 : Epoch  2, Batch   1730, Loss  0.848295, Average Loss  0.871907, Time  0.236583
2021-09-22 04:57:39.971604 : Epoch  2, Batch   1731, Loss  0.868029, Average Loss  0.871927, Time  0.235953
2021-09-22 04:57:42.635190 : Epoch  2, Batch   1732, Loss  0.857708, Average Loss  0.871894, Time  0.236979
2021-09-22 04:57:45.295028 : Epoch  2, Batch   1733, Loss  0.863013, Average Loss  0.871869, Time  0.237372
2021-09-22 04:57:47.953858 : Epoch  2, Batch   1734, Loss  0.878808, Average Loss  0.871951, Time  0.236228
2021-09-22 04:57:50.621464 : Epoch  2, Batch   1735, Loss  0.885757, Average Loss  0.871915, Time  0.237510
2021-09-22 04:57:53.280622 : Epoch  2, Batch   1736, Loss  0.849169, Average Loss  0.871840, Time  0.237174
2021-09-22 04:57:55.932039 : Epoch  2, Batch   1737, Loss  0.872531, Average Loss  0.871749, Time  0.236130
2021-09-22 04:57:58.590207 : Epoch  2, Batch   1738, Loss  0.853896, Average Loss  0.871564, Time  0.236129
2021-09-22 04:58:01.244390 : Epoch  2, Batch   1739, Loss  0.877430, Average Loss  0.871431, Time  0.235285
2021-09-22 04:58:03.900216 : Epoch  2, Batch   1740, Loss  0.855493, Average Loss  0.871333, Time  0.236683
2021-09-22 04:58:06.561396 : Epoch  2, Batch   1741, Loss  0.881253, Average Loss  0.871359, Time  0.235241
2021-09-22 04:58:09.215885 : Epoch  2, Batch   1742, Loss  0.857891, Average Loss  0.871195, Time  0.236444
2021-09-22 04:58:11.937394 : Epoch  2, Batch   1743, Loss  0.870796, Average Loss  0.871142, Time  0.235934
2021-09-22 04:58:14.589057 : Epoch  2, Batch   1744, Loss  0.859879, Average Loss  0.871137, Time  0.236071
2021-09-22 05:02:27.162597 : CheckPoint: Validation Loss  0.00030291, Best Loss  0.00029586
2021-09-22 05:02:29.810243 : Epoch  2, Batch   1745, Loss  0.855965, Average Loss  0.871135, Time  0.237039
2021-09-22 05:02:32.457156 : Epoch  2, Batch   1746, Loss  0.879002, Average Loss  0.871158, Time  0.237333
2021-09-22 05:02:35.106559 : Epoch  2, Batch   1747, Loss  0.865272, Average Loss  0.871183, Time  0.235507
2021-09-22 05:02:38.114021 : Epoch  2, Batch   1748, Loss  0.865776, Average Loss  0.871142, Time  0.263284
2021-09-22 05:02:40.790368 : Epoch  2, Batch   1749, Loss  0.866760, Average Loss  0.871224, Time  0.239682
2021-09-22 05:02:43.442174 : Epoch  2, Batch   1750, Loss  0.893691, Average Loss  0.871360, Time  0.236792
2021-09-22 05:02:46.113385 : Epoch  2, Batch   1751, Loss  0.854022, Average Loss  0.871214, Time  0.236544
2021-09-22 05:02:48.776115 : Epoch  2, Batch   1752, Loss  0.871837, Average Loss  0.871175, Time  0.236416
2021-09-22 05:02:51.421218 : Epoch  2, Batch   1753, Loss  0.861894, Average Loss  0.871086, Time  0.236008
2021-09-22 05:02:54.044751 : Epoch  2, Batch   1754, Loss  0.885869, Average Loss  0.871110, Time  0.235790
2021-09-22 05:02:56.681431 : Epoch  2, Batch   1755, Loss  0.852996, Average Loss  0.870995, Time  0.235338
2021-09-22 05:02:59.319400 : Epoch  2, Batch   1756, Loss  0.877421, Average Loss  0.870977, Time  0.235846
2021-09-22 05:03:01.952261 : Epoch  2, Batch   1757, Loss  0.863961, Average Loss  0.870941, Time  0.235606
2021-09-22 05:03:04.575894 : Epoch  2, Batch   1758, Loss  0.873303, Average Loss  0.870833, Time  0.235981
2021-09-22 05:03:07.200955 : Epoch  2, Batch   1759, Loss  0.885169, Average Loss  0.870929, Time  0.235615
2021-09-22 05:03:09.880265 : Epoch  2, Batch   1760, Loss  0.880112, Average Loss  0.870896, Time  0.236456
2021-09-22 05:03:12.511623 : Epoch  2, Batch   1761, Loss  0.871404, Average Loss  0.870970, Time  0.235819
2021-09-22 05:03:15.149000 : Epoch  2, Batch   1762, Loss  0.888841, Average Loss  0.871002, Time  0.236325
2021-09-22 05:03:17.778966 : Epoch  2, Batch   1763, Loss  0.876846, Average Loss  0.871025, Time  0.236050
2021-09-22 05:03:20.422642 : Epoch  2, Batch   1764, Loss  0.858786, Average Loss  0.870947, Time  0.236483
2021-09-22 05:03:23.068069 : Epoch  2, Batch   1765, Loss  0.856465, Average Loss  0.870783, Time  0.236298
2021-09-22 05:03:25.726420 : Epoch  2, Batch   1766, Loss  0.888695, Average Loss  0.870916, Time  0.237357
2021-09-22 05:03:28.386949 : Epoch  2, Batch   1767, Loss  0.860532, Average Loss  0.870931, Time  0.237240
2021-09-22 05:03:31.051506 : Epoch  2, Batch   1768, Loss  0.867025, Average Loss  0.870896, Time  0.236933
2021-09-22 05:03:33.706261 : Epoch  2, Batch   1769, Loss  0.869289, Average Loss  0.870913, Time  0.237457
2021-09-22 05:03:36.350742 : Epoch  2, Batch   1770, Loss  0.867309, Average Loss  0.870912, Time  0.237268
2021-09-22 05:03:39.001404 : Epoch  2, Batch   1771, Loss  0.859762, Average Loss  0.870775, Time  0.236664
2021-09-22 05:03:41.657278 : Epoch  2, Batch   1772, Loss  0.869575, Average Loss  0.870684, Time  0.236294
2021-09-22 05:03:44.314407 : Epoch  2, Batch   1773, Loss  0.886095, Average Loss  0.870672, Time  0.236110
2021-09-22 05:03:46.960965 : Epoch  2, Batch   1774, Loss  0.858260, Average Loss  0.870543, Time  0.236692
2021-09-22 05:03:49.611405 : Epoch  2, Batch   1775, Loss  0.876829, Average Loss  0.870521, Time  0.235368
2021-09-22 05:03:52.262620 : Epoch  2, Batch   1776, Loss  0.854242, Average Loss  0.870281, Time  0.236647
2021-09-22 05:03:54.918123 : Epoch  2, Batch   1777, Loss  0.872644, Average Loss  0.870182, Time  0.235817
2021-09-22 05:03:57.571995 : Epoch  2, Batch   1778, Loss  0.883723, Average Loss  0.870193, Time  0.236940
2021-09-22 05:04:00.220438 : Epoch  2, Batch   1779, Loss  0.868695, Average Loss  0.870122, Time  0.237743
2021-09-22 05:04:02.865953 : Epoch  2, Batch   1780, Loss  0.867461, Average Loss  0.870194, Time  0.236941
2021-09-22 05:04:05.519911 : Epoch  2, Batch   1781, Loss  0.858573, Average Loss  0.870229, Time  0.236616
2021-09-22 05:04:08.165670 : Epoch  2, Batch   1782, Loss  0.888540, Average Loss  0.870382, Time  0.236149
2021-09-22 05:04:10.820983 : Epoch  2, Batch   1783, Loss  0.861715, Average Loss  0.870313, Time  0.236564
2021-09-22 05:04:13.463398 : Epoch  2, Batch   1784, Loss  0.849544, Average Loss  0.870221, Time  0.236122
2021-09-22 05:04:16.102296 : Epoch  2, Batch   1785, Loss  0.860136, Average Loss  0.870151, Time  0.236459
2021-09-22 05:04:18.742155 : Epoch  2, Batch   1786, Loss  0.867629, Average Loss  0.870193, Time  0.235812
2021-09-22 05:04:21.391379 : Epoch  2, Batch   1787, Loss  0.880304, Average Loss  0.870294, Time  0.236465
2021-09-22 05:04:24.046921 : Epoch  2, Batch   1788, Loss  0.849410, Average Loss  0.870181, Time  0.236386
2021-09-22 05:04:26.708096 : Epoch  2, Batch   1789, Loss  0.875137, Average Loss  0.870226, Time  0.237516
2021-09-22 05:04:29.358804 : Epoch  2, Batch   1790, Loss  0.862436, Average Loss  0.870163, Time  0.237191
2021-09-22 05:04:32.009141 : Epoch  2, Batch   1791, Loss  0.845648, Average Loss  0.870100, Time  0.236769
2021-09-22 05:04:34.643053 : Epoch  2, Batch   1792, Loss  0.830778, Average Loss  0.869947, Time  0.237458
2021-09-22 05:04:37.295301 : Epoch  2, Batch   1793, Loss  0.883537, Average Loss  0.870034, Time  0.236463
2021-09-22 05:04:39.940209 : Epoch  2, Batch   1794, Loss  0.874045, Average Loss  0.870077, Time  0.236767
2021-09-22 05:04:42.605107 : Epoch  2, Batch   1795, Loss  0.872755, Average Loss  0.870181, Time  0.236647
2021-09-22 05:04:45.266405 : Epoch  2, Batch   1796, Loss  0.894726, Average Loss  0.870303, Time  0.237236
2021-09-22 05:04:47.924870 : Epoch  2, Batch   1797, Loss  0.872744, Average Loss  0.870239, Time  0.236106
2021-09-22 05:04:50.611349 : Epoch  2, Batch   1798, Loss  0.856392, Average Loss  0.870139, Time  0.236463
2021-09-22 05:04:53.283094 : Epoch  2, Batch   1799, Loss  0.850823, Average Loss  0.869979, Time  0.236406
2021-09-22 05:04:55.929380 : Epoch  2, Batch   1800, Loss  0.869989, Average Loss  0.869904, Time  0.236798
2021-09-22 05:04:58.588812 : Epoch  2, Batch   1801, Loss  0.876968, Average Loss  0.869974, Time  0.236988
2021-09-22 05:05:01.242401 : Epoch  2, Batch   1802, Loss  0.868458, Average Loss  0.869912, Time  0.236995
2021-09-22 05:05:03.901687 : Epoch  2, Batch   1803, Loss  0.863948, Average Loss  0.869823, Time  0.236342
2021-09-22 05:05:06.556895 : Epoch  2, Batch   1804, Loss  0.896412, Average Loss  0.869848, Time  0.236898
2021-09-22 05:05:09.209409 : Epoch  2, Batch   1805, Loss  0.871715, Average Loss  0.869859, Time  0.236150
2021-09-22 05:05:11.891838 : Epoch  2, Batch   1806, Loss  0.867722, Average Loss  0.869907, Time  0.236355
2021-09-22 05:05:14.532548 : Epoch  2, Batch   1807, Loss  0.860283, Average Loss  0.869789, Time  0.236342
2021-09-22 05:05:17.208992 : Epoch  2, Batch   1808, Loss  0.884270, Average Loss  0.869944, Time  0.236652
2021-09-22 05:05:19.861725 : Epoch  2, Batch   1809, Loss  0.884606, Average Loss  0.870014, Time  0.236102
2021-09-22 05:05:22.513115 : Epoch  2, Batch   1810, Loss  0.884559, Average Loss  0.869997, Time  0.236713
2021-09-22 05:05:25.167209 : Epoch  2, Batch   1811, Loss  0.865582, Average Loss  0.869981, Time  0.236133
2021-09-22 05:05:27.839407 : Epoch  2, Batch   1812, Loss  0.869764, Average Loss  0.869954, Time  0.237417
2021-09-22 05:05:30.493515 : Epoch  2, Batch   1813, Loss  0.869409, Average Loss  0.869940, Time  0.236096
2021-09-22 05:05:33.149972 : Epoch  2, Batch   1814, Loss  0.845291, Average Loss  0.869805, Time  0.237015
2021-09-22 05:05:35.800250 : Epoch  2, Batch   1815, Loss  0.872868, Average Loss  0.869855, Time  0.236089
2021-09-22 05:05:38.455045 : Epoch  2, Batch   1816, Loss  0.887789, Average Loss  0.869877, Time  0.237317
2021-09-22 05:05:41.111679 : Epoch  2, Batch   1817, Loss  0.873604, Average Loss  0.869907, Time  0.236189
2021-09-22 05:05:43.770341 : Epoch  2, Batch   1818, Loss  0.890006, Average Loss  0.870026, Time  0.236702
2021-09-22 05:05:46.424428 : Epoch  2, Batch   1819, Loss  0.864400, Average Loss  0.870092, Time  0.236819
2021-09-22 05:05:49.128423 : Epoch  2, Batch   1820, Loss  0.872853, Average Loss  0.870056, Time  0.236533
2021-09-22 05:05:51.777707 : Epoch  2, Batch   1821, Loss  0.890292, Average Loss  0.870162, Time  0.236609
2021-09-22 05:05:54.441146 : Epoch  2, Batch   1822, Loss  0.860360, Average Loss  0.870079, Time  0.237261
2021-09-22 05:05:57.143422 : Epoch  2, Batch   1823, Loss  0.877688, Average Loss  0.870160, Time  0.237037
2021-09-22 05:05:59.791914 : Epoch  2, Batch   1824, Loss  0.858361, Average Loss  0.870144, Time  0.236087
2021-09-22 05:06:02.446431 : Epoch  2, Batch   1825, Loss  0.875794, Average Loss  0.870184, Time  0.236078
2021-09-22 05:06:05.103806 : Epoch  2, Batch   1826, Loss  0.877618, Average Loss  0.870154, Time  0.236517
2021-09-22 05:06:07.741049 : Epoch  2, Batch   1827, Loss  0.865799, Average Loss  0.870087, Time  0.236735
2021-09-22 05:06:10.376208 : Epoch  2, Batch   1828, Loss  0.883402, Average Loss  0.870082, Time  0.236530
2021-09-22 05:06:13.027254 : Epoch  2, Batch   1829, Loss  0.881305, Average Loss  0.870038, Time  0.236833
2021-09-22 05:06:15.684080 : Epoch  2, Batch   1830, Loss  0.843538, Average Loss  0.869779, Time  0.236015
2021-09-22 05:06:18.344018 : Epoch  2, Batch   1831, Loss  0.878806, Average Loss  0.869709, Time  0.236584
2021-09-22 05:06:20.988428 : Epoch  2, Batch   1832, Loss  0.862949, Average Loss  0.869735, Time  0.236007
2021-09-22 05:06:23.636890 : Epoch  2, Batch   1833, Loss  0.885991, Average Loss  0.869793, Time  0.236075
2021-09-22 05:06:26.288234 : Epoch  2, Batch   1834, Loss  0.873083, Average Loss  0.869816, Time  0.236752
2021-09-22 05:06:28.941491 : Epoch  2, Batch   1835, Loss  0.876098, Average Loss  0.869878, Time  0.237663
2021-09-22 05:06:31.614449 : Epoch  2, Batch   1836, Loss  0.874347, Average Loss  0.869883, Time  0.236904
2021-09-22 05:06:34.308154 : Epoch  2, Batch   1837, Loss  0.877611, Average Loss  0.869874, Time  0.238061
2021-09-22 05:06:36.968025 : Epoch  2, Batch   1838, Loss  0.875653, Average Loss  0.869883, Time  0.237010
2021-09-22 05:06:39.642917 : Epoch  2, Batch   1839, Loss  0.848966, Average Loss  0.869776, Time  0.237691
2021-09-22 05:06:42.299744 : Epoch  2, Batch   1840, Loss  0.861768, Average Loss  0.869739, Time  0.237234
2021-09-22 05:06:44.968442 : Epoch  2, Batch   1841, Loss  0.883156, Average Loss  0.869794, Time  0.236177
2021-09-22 05:06:47.634326 : Epoch  2, Batch   1842, Loss  0.855542, Average Loss  0.869763, Time  0.236395
2021-09-22 05:06:50.293039 : Epoch  2, Batch   1843, Loss  0.867490, Average Loss  0.869713, Time  0.236412
2021-09-22 05:06:52.972121 : Epoch  2, Batch   1844, Loss  0.877660, Average Loss  0.869762, Time  0.236411
2021-09-22 05:11:04.609772 : CheckPoint: Validation Loss  0.00030662, Best Loss  0.00029586
2021-09-22 05:11:07.280865 : Epoch  2, Batch   1845, Loss  0.851068, Average Loss  0.869627, Time  0.238185
2021-09-22 05:11:09.947492 : Epoch  2, Batch   1846, Loss  0.860607, Average Loss  0.869468, Time  0.237362
2021-09-22 05:11:12.600574 : Epoch  2, Batch   1847, Loss  0.896358, Average Loss  0.869630, Time  0.235348
2021-09-22 05:11:15.320207 : Epoch  2, Batch   1848, Loss  0.890855, Average Loss  0.869748, Time  0.237585
2021-09-22 05:11:17.991563 : Epoch  2, Batch   1849, Loss  0.873550, Average Loss  0.869745, Time  0.236984
2021-09-22 05:11:20.656460 : Epoch  2, Batch   1850, Loss  0.852252, Average Loss  0.869655, Time  0.237065
2021-09-22 05:11:23.323655 : Epoch  2, Batch   1851, Loss  0.867901, Average Loss  0.869635, Time  0.236946
2021-09-22 05:11:26.003309 : Epoch  2, Batch   1852, Loss  0.871649, Average Loss  0.869697, Time  0.237244
2021-09-22 05:11:28.684378 : Epoch  2, Batch   1853, Loss  0.885115, Average Loss  0.869815, Time  0.242243
2021-09-22 05:11:31.343424 : Epoch  2, Batch   1854, Loss  0.883909, Average Loss  0.869971, Time  0.236738
2021-09-22 05:11:34.004242 : Epoch  2, Batch   1855, Loss  0.871656, Average Loss  0.870120, Time  0.235823
2021-09-22 05:11:36.658986 : Epoch  2, Batch   1856, Loss  0.881885, Average Loss  0.870244, Time  0.237136
2021-09-22 05:11:36.694735 : Saving Model after 2-th Epoch.
2021-09-22 05:11:37.432620 : Epoch Finished.
2021-09-22 05:11:46.580609 : Batch Shuffled
2021-09-22 05:11:49.284311 : Epoch  3, Batch      1, Loss  0.861085, Average Loss  0.870180, Time  0.265216
2021-09-22 05:11:51.999981 : Epoch  3, Batch      2, Loss  0.863622, Average Loss  0.870052, Time  0.239008
2021-09-22 05:11:54.706562 : Epoch  3, Batch      3, Loss  0.884635, Average Loss  0.870101, Time  0.236158
2021-09-22 05:11:57.391808 : Epoch  3, Batch      4, Loss  0.879051, Average Loss  0.870187, Time  0.236358
2021-09-22 05:12:00.102229 : Epoch  3, Batch      5, Loss  0.894767, Average Loss  0.870413, Time  0.236027
2021-09-22 05:12:02.861456 : Epoch  3, Batch      6, Loss  0.875510, Average Loss  0.870464, Time  0.242086
2021-09-22 05:12:05.568381 : Epoch  3, Batch      7, Loss  0.891079, Average Loss  0.870559, Time  0.236597
2021-09-22 05:12:08.271397 : Epoch  3, Batch      8, Loss  0.857867, Average Loss  0.870426, Time  0.236139
2021-09-22 05:12:10.976824 : Epoch  3, Batch      9, Loss  0.859677, Average Loss  0.870279, Time  0.236215
2021-09-22 05:12:13.684423 : Epoch  3, Batch     10, Loss  0.861784, Average Loss  0.870265, Time  0.237253
2021-09-22 05:12:16.396211 : Epoch  3, Batch     11, Loss  0.879659, Average Loss  0.870420, Time  0.236341
2021-09-22 05:12:19.105458 : Epoch  3, Batch     12, Loss  0.881622, Average Loss  0.870592, Time  0.237478
2021-09-22 05:12:21.814820 : Epoch  3, Batch     13, Loss  0.872028, Average Loss  0.870600, Time  0.236857
2021-09-22 05:12:24.526915 : Epoch  3, Batch     14, Loss  0.871831, Average Loss  0.870574, Time  0.236644
2021-09-22 05:12:27.241660 : Epoch  3, Batch     15, Loss  0.869280, Average Loss  0.870606, Time  0.237018
2021-09-22 05:12:29.959076 : Epoch  3, Batch     16, Loss  0.873967, Average Loss  0.870586, Time  0.236536
2021-09-22 05:12:32.669569 : Epoch  3, Batch     17, Loss  0.864600, Average Loss  0.870660, Time  0.236004
2021-09-22 05:12:35.385403 : Epoch  3, Batch     18, Loss  0.896104, Average Loss  0.870890, Time  0.236792
2021-09-22 05:12:38.092781 : Epoch  3, Batch     19, Loss  0.874801, Average Loss  0.870786, Time  0.235729
2021-09-22 05:12:40.799043 : Epoch  3, Batch     20, Loss  0.887117, Average Loss  0.870719, Time  0.235958
2021-09-22 05:12:43.515656 : Epoch  3, Batch     21, Loss  0.877777, Average Loss  0.870802, Time  0.236253
2021-09-22 05:12:46.230240 : Epoch  3, Batch     22, Loss  0.854069, Average Loss  0.870682, Time  0.236218
2021-09-22 05:12:48.943122 : Epoch  3, Batch     23, Loss  0.877549, Average Loss  0.870706, Time  0.236192
2021-09-22 05:12:51.650592 : Epoch  3, Batch     24, Loss  0.872793, Average Loss  0.870696, Time  0.235770
2021-09-22 05:12:54.369177 : Epoch  3, Batch     25, Loss  0.856424, Average Loss  0.870635, Time  0.236680
2021-09-22 05:12:57.081409 : Epoch  3, Batch     26, Loss  0.856523, Average Loss  0.870506, Time  0.236430
2021-09-22 05:12:59.796408 : Epoch  3, Batch     27, Loss  0.856114, Average Loss  0.870547, Time  0.236673
2021-09-22 05:13:02.502039 : Epoch  3, Batch     28, Loss  0.873082, Average Loss  0.870563, Time  0.237900
2021-09-22 05:13:05.212397 : Epoch  3, Batch     29, Loss  0.861628, Average Loss  0.870542, Time  0.236409
2021-09-22 05:13:07.937259 : Epoch  3, Batch     30, Loss  0.869314, Average Loss  0.870463, Time  0.236491
2021-09-22 05:13:10.652433 : Epoch  3, Batch     31, Loss  0.867511, Average Loss  0.870334, Time  0.237401
2021-09-22 05:13:13.370276 : Epoch  3, Batch     32, Loss  0.879758, Average Loss  0.870365, Time  0.236753
2021-09-22 05:13:16.088951 : Epoch  3, Batch     33, Loss  0.847862, Average Loss  0.870268, Time  0.237419
2021-09-22 05:13:18.797900 : Epoch  3, Batch     34, Loss  0.857722, Average Loss  0.870255, Time  0.236258
2021-09-22 05:13:21.509936 : Epoch  3, Batch     35, Loss  0.875555, Average Loss  0.870278, Time  0.236899
2021-09-22 05:13:24.207361 : Epoch  3, Batch     36, Loss  0.866769, Average Loss  0.870268, Time  0.235998
2021-09-22 05:13:26.918022 : Epoch  3, Batch     37, Loss  0.871484, Average Loss  0.870332, Time  0.236608
2021-09-22 05:13:29.640577 : Epoch  3, Batch     38, Loss  0.859593, Average Loss  0.870257, Time  0.237977
2021-09-22 05:13:32.376998 : Epoch  3, Batch     39, Loss  0.850242, Average Loss  0.870231, Time  0.235996
2021-09-22 05:13:35.090555 : Epoch  3, Batch     40, Loss  0.883347, Average Loss  0.870233, Time  0.236976
2021-09-22 05:13:37.808417 : Epoch  3, Batch     41, Loss  0.891139, Average Loss  0.870360, Time  0.236408
2021-09-22 05:13:40.523327 : Epoch  3, Batch     42, Loss  0.880722, Average Loss  0.870434, Time  0.237112
2021-09-22 05:13:43.236700 : Epoch  3, Batch     43, Loss  0.870370, Average Loss  0.870419, Time  0.236233
2021-09-22 05:13:45.939768 : Epoch  3, Batch     44, Loss  0.893121, Average Loss  0.870543, Time  0.236109
2021-09-22 05:13:48.668426 : Epoch  3, Batch     45, Loss  0.877808, Average Loss  0.870511, Time  0.236256
2021-09-22 05:13:51.374990 : Epoch  3, Batch     46, Loss  0.914825, Average Loss  0.870757, Time  0.236429
2021-09-22 05:13:54.079289 : Epoch  3, Batch     47, Loss  0.876973, Average Loss  0.870826, Time  0.236578
2021-09-22 05:13:56.782252 : Epoch  3, Batch     48, Loss  0.870488, Average Loss  0.870821, Time  0.236477
2021-09-22 05:13:59.529852 : Epoch  3, Batch     49, Loss  0.873460, Average Loss  0.870916, Time  0.237413
2021-09-22 05:14:02.242294 : Epoch  3, Batch     50, Loss  0.884276, Average Loss  0.870970, Time  0.237297
2021-09-22 05:14:04.953990 : Epoch  3, Batch     51, Loss  0.874590, Average Loss  0.871032, Time  0.237768
2021-09-22 05:14:07.682419 : Epoch  3, Batch     52, Loss  0.881418, Average Loss  0.870963, Time  0.235925
2021-09-22 05:14:10.407828 : Epoch  3, Batch     53, Loss  0.871832, Average Loss  0.870928, Time  0.236888
2021-09-22 05:14:13.115834 : Epoch  3, Batch     54, Loss  0.880043, Average Loss  0.870968, Time  0.236811
2021-09-22 05:14:15.828043 : Epoch  3, Batch     55, Loss  0.893557, Average Loss  0.871077, Time  0.237779
2021-09-22 05:14:18.534632 : Epoch  3, Batch     56, Loss  0.849524, Average Loss  0.871034, Time  0.236625
2021-09-22 05:14:21.242168 : Epoch  3, Batch     57, Loss  0.902134, Average Loss  0.871143, Time  0.236500
2021-09-22 05:14:23.947551 : Epoch  3, Batch     58, Loss  0.866292, Average Loss  0.871105, Time  0.237124
2021-09-22 05:14:26.649041 : Epoch  3, Batch     59, Loss  0.842041, Average Loss  0.870998, Time  0.236885
2021-09-22 05:14:29.359039 : Epoch  3, Batch     60, Loss  0.866346, Average Loss  0.871049, Time  0.239076
2021-09-22 05:14:32.097951 : Epoch  3, Batch     61, Loss  0.851528, Average Loss  0.870929, Time  0.236794
2021-09-22 05:14:34.803715 : Epoch  3, Batch     62, Loss  0.880560, Average Loss  0.870965, Time  0.236807
2021-09-22 05:14:37.516250 : Epoch  3, Batch     63, Loss  0.879716, Average Loss  0.870961, Time  0.236161
2021-09-22 05:14:40.237081 : Epoch  3, Batch     64, Loss  0.862517, Average Loss  0.870909, Time  0.236345
2021-09-22 05:14:42.949828 : Epoch  3, Batch     65, Loss  0.879692, Average Loss  0.870958, Time  0.238221
2021-09-22 05:14:45.666059 : Epoch  3, Batch     66, Loss  0.874060, Average Loss  0.870926, Time  0.237058
2021-09-22 05:14:48.376413 : Epoch  3, Batch     67, Loss  0.870981, Average Loss  0.871011, Time  0.237874
2021-09-22 05:14:51.105257 : Epoch  3, Batch     68, Loss  0.876029, Average Loss  0.870992, Time  0.236652
2021-09-22 05:14:53.813486 : Epoch  3, Batch     69, Loss  0.871583, Average Loss  0.870915, Time  0.236849
2021-09-22 05:14:56.523885 : Epoch  3, Batch     70, Loss  0.861640, Average Loss  0.870869, Time  0.236051
2021-09-22 05:14:59.232990 : Epoch  3, Batch     71, Loss  0.875910, Average Loss  0.870888, Time  0.236501
2021-09-22 05:15:01.947910 : Epoch  3, Batch     72, Loss  0.868905, Average Loss  0.871011, Time  0.236464
2021-09-22 05:15:04.669963 : Epoch  3, Batch     73, Loss  0.892350, Average Loss  0.871063, Time  0.236470
2021-09-22 05:15:07.383399 : Epoch  3, Batch     74, Loss  0.867261, Average Loss  0.871158, Time  0.236641
2021-09-22 05:15:10.094444 : Epoch  3, Batch     75, Loss  0.853209, Average Loss  0.871084, Time  0.235523
2021-09-22 05:15:12.803231 : Epoch  3, Batch     76, Loss  0.886953, Average Loss  0.871230, Time  0.237193
2021-09-22 05:15:15.518323 : Epoch  3, Batch     77, Loss  0.859222, Average Loss  0.871211, Time  0.238379
2021-09-22 05:15:18.232183 : Epoch  3, Batch     78, Loss  0.878127, Average Loss  0.871207, Time  0.236515
2021-09-22 05:15:20.960534 : Epoch  3, Batch     79, Loss  0.895661, Average Loss  0.871257, Time  0.237071
2021-09-22 05:15:23.657058 : Epoch  3, Batch     80, Loss  0.865757, Average Loss  0.871340, Time  0.236565
2021-09-22 05:15:26.354380 : Epoch  3, Batch     81, Loss  0.857980, Average Loss  0.871267, Time  0.237121
2021-09-22 05:15:29.052839 : Epoch  3, Batch     82, Loss  0.864541, Average Loss  0.871320, Time  0.237123
2021-09-22 05:15:31.779452 : Epoch  3, Batch     83, Loss  0.875269, Average Loss  0.871309, Time  0.236600
2021-09-22 05:15:34.499986 : Epoch  3, Batch     84, Loss  0.855259, Average Loss  0.871308, Time  0.237104
2021-09-22 05:15:37.216389 : Epoch  3, Batch     85, Loss  0.858734, Average Loss  0.871196, Time  0.236342
2021-09-22 05:15:39.933609 : Epoch  3, Batch     86, Loss  0.861039, Average Loss  0.871211, Time  0.236772
2021-09-22 05:15:42.635221 : Epoch  3, Batch     87, Loss  0.877840, Average Loss  0.871247, Time  0.236381
2021-09-22 05:15:45.350958 : Epoch  3, Batch     88, Loss  0.872327, Average Loss  0.871309, Time  0.237280
2021-09-22 05:20:01.012277 : CheckPoint: Validation Loss  0.00031138, Best Loss  0.00029586
2021-09-22 05:20:03.755901 : Epoch  3, Batch     89, Loss  0.873077, Average Loss  0.871394, Time  0.262143
2021-09-22 05:20:06.439035 : Epoch  3, Batch     90, Loss  0.865181, Average Loss  0.871325, Time  0.239322
2021-09-22 05:20:09.114043 : Epoch  3, Batch     91, Loss  0.874543, Average Loss  0.871372, Time  0.236468
2021-09-22 05:20:11.796897 : Epoch  3, Batch     92, Loss  0.846608, Average Loss  0.871276, Time  0.237170
2021-09-22 05:20:14.469978 : Epoch  3, Batch     93, Loss  0.888317, Average Loss  0.871384, Time  0.236655
2021-09-22 05:20:17.157065 : Epoch  3, Batch     94, Loss  0.875304, Average Loss  0.871292, Time  0.236858
2021-09-22 05:20:19.852029 : Epoch  3, Batch     95, Loss  0.868492, Average Loss  0.871364, Time  0.236509
2021-09-22 05:20:22.551642 : Epoch  3, Batch     96, Loss  0.866805, Average Loss  0.871339, Time  0.236678
2021-09-22 05:20:25.254844 : Epoch  3, Batch     97, Loss  0.859581, Average Loss  0.871327, Time  0.235828
2021-09-22 05:20:27.915960 : Epoch  3, Batch     98, Loss  0.867380, Average Loss  0.871235, Time  0.236400
2021-09-22 05:20:30.583376 : Epoch  3, Batch     99, Loss  0.846342, Average Loss  0.871202, Time  0.235312
2021-09-22 05:20:33.259428 : Epoch  3, Batch    100, Loss  0.880807, Average Loss  0.871219, Time  0.236952
2021-09-22 05:20:35.939462 : Epoch  3, Batch    101, Loss  0.873718, Average Loss  0.871267, Time  0.236750
2021-09-22 05:20:38.613257 : Epoch  3, Batch    102, Loss  0.868917, Average Loss  0.871245, Time  0.236733
2021-09-22 05:20:41.294726 : Epoch  3, Batch    103, Loss  0.863955, Average Loss  0.871139, Time  0.242609
2021-09-22 05:20:43.965408 : Epoch  3, Batch    104, Loss  0.886116, Average Loss  0.871169, Time  0.236205
2021-09-22 05:20:46.635196 : Epoch  3, Batch    105, Loss  0.884806, Average Loss  0.871236, Time  0.235649
2021-09-22 05:20:49.305443 : Epoch  3, Batch    106, Loss  0.874040, Average Loss  0.871162, Time  0.235856
2021-09-22 05:20:51.985072 : Epoch  3, Batch    107, Loss  0.884585, Average Loss  0.871201, Time  0.237192
2021-09-22 05:20:54.671061 : Epoch  3, Batch    108, Loss  0.856419, Average Loss  0.871189, Time  0.237876
2021-09-22 05:20:57.353781 : Epoch  3, Batch    109, Loss  0.861170, Average Loss  0.871213, Time  0.236499
2021-09-22 05:21:00.029342 : Epoch  3, Batch    110, Loss  0.848279, Average Loss  0.871011, Time  0.237373
2021-09-22 05:21:02.708909 : Epoch  3, Batch    111, Loss  0.866874, Average Loss  0.871042, Time  0.237662
2021-09-22 05:21:05.406832 : Epoch  3, Batch    112, Loss  0.869758, Average Loss  0.871056, Time  0.238338
2021-09-22 05:21:08.078457 : Epoch  3, Batch    113, Loss  0.876665, Average Loss  0.871093, Time  0.236504
2021-09-22 05:21:10.776584 : Epoch  3, Batch    114, Loss  0.856945, Average Loss  0.871041, Time  0.236934
2021-09-22 05:21:13.440802 : Epoch  3, Batch    115, Loss  0.873713, Average Loss  0.871111, Time  0.236699
2021-09-22 05:21:16.113110 : Epoch  3, Batch    116, Loss  0.867928, Average Loss  0.871103, Time  0.236380
2021-09-22 05:21:18.799491 : Epoch  3, Batch    117, Loss  0.847880, Average Loss  0.870912, Time  0.237417
2021-09-22 05:21:21.474194 : Epoch  3, Batch    118, Loss  0.864285, Average Loss  0.870942, Time  0.236196
2021-09-22 05:21:24.148404 : Epoch  3, Batch    119, Loss  0.879861, Average Loss  0.870957, Time  0.236754
2021-09-22 05:21:26.821431 : Epoch  3, Batch    120, Loss  0.866912, Average Loss  0.871020, Time  0.236646
2021-09-22 05:21:29.495980 : Epoch  3, Batch    121, Loss  0.882943, Average Loss  0.871072, Time  0.236718
2021-09-22 05:21:32.164938 : Epoch  3, Batch    122, Loss  0.880115, Average Loss  0.871054, Time  0.237188
2021-09-22 05:21:34.835579 : Epoch  3, Batch    123, Loss  0.870324, Average Loss  0.871062, Time  0.236134
2021-09-22 05:21:37.511412 : Epoch  3, Batch    124, Loss  0.881328, Average Loss  0.871131, Time  0.236122
2021-09-22 05:21:40.183776 : Epoch  3, Batch    125, Loss  0.883119, Average Loss  0.871254, Time  0.237278
2021-09-22 05:21:42.857387 : Epoch  3, Batch    126, Loss  0.869069, Average Loss  0.871157, Time  0.235908
2021-09-22 05:21:45.532310 : Epoch  3, Batch    127, Loss  0.873867, Average Loss  0.871217, Time  0.236282
2021-09-22 05:21:48.200996 : Epoch  3, Batch    128, Loss  0.859280, Average Loss  0.871266, Time  0.237286
2021-09-22 05:21:50.890172 : Epoch  3, Batch    129, Loss  0.886006, Average Loss  0.871395, Time  0.236569
2021-09-22 05:21:53.608433 : Epoch  3, Batch    130, Loss  0.886957, Average Loss  0.871492, Time  0.236534
2021-09-22 05:21:56.284620 : Epoch  3, Batch    131, Loss  0.874823, Average Loss  0.871465, Time  0.237390
2021-09-22 05:21:58.949500 : Epoch  3, Batch    132, Loss  0.869072, Average Loss  0.871563, Time  0.237493
2021-09-22 05:22:01.637190 : Epoch  3, Batch    133, Loss  0.877449, Average Loss  0.871574, Time  0.237577
2021-09-22 05:22:04.314472 : Epoch  3, Batch    134, Loss  0.874862, Average Loss  0.871637, Time  0.236539
2021-09-22 05:22:06.995838 : Epoch  3, Batch    135, Loss  0.883244, Average Loss  0.871825, Time  0.236738
2021-09-22 05:22:09.665165 : Epoch  3, Batch    136, Loss  0.879836, Average Loss  0.872070, Time  0.237979
2021-09-22 05:22:12.333839 : Epoch  3, Batch    137, Loss  0.858025, Average Loss  0.871942, Time  0.236478
2021-09-22 05:22:15.018896 : Epoch  3, Batch    138, Loss  0.850527, Average Loss  0.871825, Time  0.237153
2021-09-22 05:22:17.699858 : Epoch  3, Batch    139, Loss  0.874749, Average Loss  0.871835, Time  0.237383
2021-09-22 05:22:20.376913 : Epoch  3, Batch    140, Loss  0.884184, Average Loss  0.871782, Time  0.236564
2021-09-22 05:22:23.042948 : Epoch  3, Batch    141, Loss  0.867958, Average Loss  0.871758, Time  0.236653
2021-09-22 05:22:25.723622 : Epoch  3, Batch    142, Loss  0.871206, Average Loss  0.871832, Time  0.237580
2021-09-22 05:22:28.450620 : Epoch  3, Batch    143, Loss  0.858980, Average Loss  0.871873, Time  0.236236
2021-09-22 05:22:31.123011 : Epoch  3, Batch    144, Loss  0.876057, Average Loss  0.871903, Time  0.236905
2021-09-22 05:22:33.797954 : Epoch  3, Batch    145, Loss  0.877267, Average Loss  0.871905, Time  0.236399
2021-09-22 05:22:36.468002 : Epoch  3, Batch    146, Loss  0.879948, Average Loss  0.871962, Time  0.236347
2021-09-22 05:22:39.137930 : Epoch  3, Batch    147, Loss  0.864781, Average Loss  0.871966, Time  0.236235
2021-09-22 05:22:41.824370 : Epoch  3, Batch    148, Loss  0.876785, Average Loss  0.871868, Time  0.236691
2021-09-22 05:22:44.542191 : Epoch  3, Batch    149, Loss  0.863126, Average Loss  0.871825, Time  0.236454
2021-09-22 05:22:47.222803 : Epoch  3, Batch    150, Loss  0.867278, Average Loss  0.871823, Time  0.236736
2021-09-22 05:22:49.903433 : Epoch  3, Batch    151, Loss  0.858537, Average Loss  0.871814, Time  0.235797
2021-09-22 05:22:52.576047 : Epoch  3, Batch    152, Loss  0.901606, Average Loss  0.871901, Time  0.236770
2021-09-22 05:22:55.262866 : Epoch  3, Batch    153, Loss  0.878644, Average Loss  0.871871, Time  0.237224
2021-09-22 05:22:57.945123 : Epoch  3, Batch    154, Loss  0.866915, Average Loss  0.871783, Time  0.236662
2021-09-22 05:23:00.618868 : Epoch  3, Batch    155, Loss  0.869394, Average Loss  0.871802, Time  0.237152
2021-09-22 05:23:03.286018 : Epoch  3, Batch    156, Loss  0.860738, Average Loss  0.871757, Time  0.236948
2021-09-22 05:23:06.034936 : Epoch  3, Batch    157, Loss  0.851853, Average Loss  0.871669, Time  0.237296
2021-09-22 05:23:08.698237 : Epoch  3, Batch    158, Loss  0.884778, Average Loss  0.871867, Time  0.236115
2021-09-22 05:23:11.401924 : Epoch  3, Batch    159, Loss  0.851336, Average Loss  0.871759, Time  0.236939
2021-09-22 05:23:14.108396 : Epoch  3, Batch    160, Loss  0.867418, Average Loss  0.871657, Time  0.236326
2021-09-22 05:23:16.813118 : Epoch  3, Batch    161, Loss  0.876507, Average Loss  0.871672, Time  0.236028
2021-09-22 05:23:19.508413 : Epoch  3, Batch    162, Loss  0.872828, Average Loss  0.871586, Time  0.236879
2021-09-22 05:23:22.184182 : Epoch  3, Batch    163, Loss  0.871305, Average Loss  0.871620, Time  0.236796
2021-09-22 05:23:24.855093 : Epoch  3, Batch    164, Loss  0.851671, Average Loss  0.871514, Time  0.236526
2021-09-22 05:23:27.540670 : Epoch  3, Batch    165, Loss  0.866351, Average Loss  0.871395, Time  0.236957
2021-09-22 05:23:30.212922 : Epoch  3, Batch    166, Loss  0.871256, Average Loss  0.871449, Time  0.236592
2021-09-22 05:23:32.896983 : Epoch  3, Batch    167, Loss  0.876741, Average Loss  0.871444, Time  0.236087
2021-09-22 05:23:35.576872 : Epoch  3, Batch    168, Loss  0.880405, Average Loss  0.871554, Time  0.236690
2021-09-22 05:23:38.260825 : Epoch  3, Batch    169, Loss  0.863687, Average Loss  0.871494, Time  0.236060
2021-09-22 05:23:40.943903 : Epoch  3, Batch    170, Loss  0.862729, Average Loss  0.871420, Time  0.237242
2021-09-22 05:23:43.619682 : Epoch  3, Batch    171, Loss  0.866942, Average Loss  0.871425, Time  0.236406
2021-09-22 05:23:46.289884 : Epoch  3, Batch    172, Loss  0.883522, Average Loss  0.871426, Time  0.236809
2021-09-22 05:23:48.966958 : Epoch  3, Batch    173, Loss  0.873067, Average Loss  0.871385, Time  0.236545
2021-09-22 05:23:51.640162 : Epoch  3, Batch    174, Loss  0.882969, Average Loss  0.871582, Time  0.236776
2021-09-22 05:23:54.322035 : Epoch  3, Batch    175, Loss  0.872416, Average Loss  0.871550, Time  0.236075
2021-09-22 05:23:56.999230 : Epoch  3, Batch    176, Loss  0.878674, Average Loss  0.871628, Time  0.237997
2021-09-22 05:23:59.680887 : Epoch  3, Batch    177, Loss  0.874272, Average Loss  0.871570, Time  0.235730
2021-09-22 05:24:02.392910 : Epoch  3, Batch    178, Loss  0.870358, Average Loss  0.871556, Time  0.238813
2021-09-22 05:24:05.067445 : Epoch  3, Batch    179, Loss  0.871467, Average Loss  0.871533, Time  0.236607
2021-09-22 05:24:07.751602 : Epoch  3, Batch    180, Loss  0.878618, Average Loss  0.871554, Time  0.237585
2021-09-22 05:24:10.442123 : Epoch  3, Batch    181, Loss  0.853926, Average Loss  0.871436, Time  0.236861
2021-09-22 05:24:13.108816 : Epoch  3, Batch    182, Loss  0.863562, Average Loss  0.871376, Time  0.236858
2021-09-22 05:24:15.781412 : Epoch  3, Batch    183, Loss  0.874671, Average Loss  0.871504, Time  0.235924
2021-09-22 05:24:18.457443 : Epoch  3, Batch    184, Loss  0.896886, Average Loss  0.871680, Time  0.236542
2021-09-22 05:24:21.147935 : Epoch  3, Batch    185, Loss  0.896080, Average Loss  0.871744, Time  0.235913
2021-09-22 05:24:23.822859 : Epoch  3, Batch    186, Loss  0.878784, Average Loss  0.871861, Time  0.236110
2021-09-22 05:24:26.477629 : Epoch  3, Batch    187, Loss  0.865620, Average Loss  0.871851, Time  0.235614
2021-09-22 05:24:29.139044 : Epoch  3, Batch    188, Loss  0.877842, Average Loss  0.871852, Time  0.236386
2021-09-22 05:28:41.332935 : CheckPoint: Validation Loss  0.00030458, Best Loss  0.00029586
2021-09-22 05:28:44.031285 : Epoch  3, Batch    189, Loss  0.857883, Average Loss  0.871886, Time  0.266387
2021-09-22 05:28:46.699909 : Epoch  3, Batch    190, Loss  0.867172, Average Loss  0.871919, Time  0.250478
2021-09-22 05:28:49.354862 : Epoch  3, Batch    191, Loss  0.889293, Average Loss  0.871884, Time  0.238873
2021-09-22 05:28:52.005436 : Epoch  3, Batch    192, Loss  0.876276, Average Loss  0.871811, Time  0.236421
2021-09-22 05:28:54.680916 : Epoch  3, Batch    193, Loss  0.883750, Average Loss  0.871862, Time  0.235752
2021-09-22 05:28:57.356826 : Epoch  3, Batch    194, Loss  0.889369, Average Loss  0.872047, Time  0.236241
2021-09-22 05:29:00.010890 : Epoch  3, Batch    195, Loss  0.874182, Average Loss  0.872079, Time  0.236344
2021-09-22 05:29:02.702491 : Epoch  3, Batch    196, Loss  0.886120, Average Loss  0.872151, Time  0.236560
2021-09-22 05:29:05.370414 : Epoch  3, Batch    197, Loss  0.860365, Average Loss  0.872027, Time  0.235993
2021-09-22 05:29:08.018553 : Epoch  3, Batch    198, Loss  0.861091, Average Loss  0.871913, Time  0.237110
2021-09-22 05:29:10.672003 : Epoch  3, Batch    199, Loss  0.849055, Average Loss  0.871800, Time  0.236615
2021-09-22 05:29:13.309398 : Epoch  3, Batch    200, Loss  0.865684, Average Loss  0.871719, Time  0.237056
2021-09-22 05:29:15.954324 : Epoch  3, Batch    201, Loss  0.864869, Average Loss  0.871738, Time  0.235714
2021-09-22 05:29:18.597824 : Epoch  3, Batch    202, Loss  0.885419, Average Loss  0.871847, Time  0.236505
2021-09-22 05:29:21.249874 : Epoch  3, Batch    203, Loss  0.859365, Average Loss  0.871721, Time  0.236089
2021-09-22 05:29:23.894575 : Epoch  3, Batch    204, Loss  0.857518, Average Loss  0.871613, Time  0.236064
2021-09-22 05:29:26.546016 : Epoch  3, Batch    205, Loss  0.869156, Average Loss  0.871485, Time  0.236219
2021-09-22 05:29:29.197997 : Epoch  3, Batch    206, Loss  0.880776, Average Loss  0.871511, Time  0.236353
2021-09-22 05:29:31.868078 : Epoch  3, Batch    207, Loss  0.868196, Average Loss  0.871397, Time  0.236150
2021-09-22 05:29:34.558163 : Epoch  3, Batch    208, Loss  0.859348, Average Loss  0.871404, Time  0.236910
2021-09-22 05:29:37.236676 : Epoch  3, Batch    209, Loss  0.867615, Average Loss  0.871444, Time  0.237486
2021-09-22 05:29:39.887849 : Epoch  3, Batch    210, Loss  0.885559, Average Loss  0.871563, Time  0.235722
2021-09-22 05:29:42.546339 : Epoch  3, Batch    211, Loss  0.866941, Average Loss  0.871499, Time  0.236364
2021-09-22 05:29:45.184835 : Epoch  3, Batch    212, Loss  0.878243, Average Loss  0.871482, Time  0.238301
2021-09-22 05:29:47.832394 : Epoch  3, Batch    213, Loss  0.856110, Average Loss  0.871403, Time  0.236766
2021-09-22 05:29:50.486105 : Epoch  3, Batch    214, Loss  0.879840, Average Loss  0.871443, Time  0.236491
2021-09-22 05:29:53.138404 : Epoch  3, Batch    215, Loss  0.863502, Average Loss  0.871414, Time  0.235671
2021-09-22 05:29:55.775579 : Epoch  3, Batch    216, Loss  0.863888, Average Loss  0.871364, Time  0.236265
2021-09-22 05:29:58.414984 : Epoch  3, Batch    217, Loss  0.893690, Average Loss  0.871509, Time  0.235587
2021-09-22 05:30:01.059926 : Epoch  3, Batch    218, Loss  0.863096, Average Loss  0.871344, Time  0.235973
2021-09-22 05:30:03.710587 : Epoch  3, Batch    219, Loss  0.875869, Average Loss  0.871349, Time  0.236967
2021-09-22 05:30:06.361047 : Epoch  3, Batch    220, Loss  0.875932, Average Loss  0.871293, Time  0.235745
2021-09-22 05:30:09.010218 : Epoch  3, Batch    221, Loss  0.887692, Average Loss  0.871343, Time  0.236386
2021-09-22 05:30:11.658229 : Epoch  3, Batch    222, Loss  0.872831, Average Loss  0.871437, Time  0.235938
2021-09-22 05:30:14.299853 : Epoch  3, Batch    223, Loss  0.867987, Average Loss  0.871389, Time  0.236613
2021-09-22 05:30:16.952050 : Epoch  3, Batch    224, Loss  0.865102, Average Loss  0.871351, Time  0.236825
2021-09-22 05:30:19.615956 : Epoch  3, Batch    225, Loss  0.883926, Average Loss  0.871488, Time  0.236652
2021-09-22 05:30:22.268045 : Epoch  3, Batch    226, Loss  0.872392, Average Loss  0.871567, Time  0.236354
2021-09-22 05:30:24.921586 : Epoch  3, Batch    227, Loss  0.861253, Average Loss  0.871593, Time  0.235431
2021-09-22 05:30:27.587622 : Epoch  3, Batch    228, Loss  0.854729, Average Loss  0.871501, Time  0.236639
2021-09-22 05:30:30.266228 : Epoch  3, Batch    229, Loss  0.857261, Average Loss  0.871480, Time  0.236627
2021-09-22 05:30:32.927880 : Epoch  3, Batch    230, Loss  0.873882, Average Loss  0.871502, Time  0.236347
2021-09-22 05:30:35.590866 : Epoch  3, Batch    231, Loss  0.847377, Average Loss  0.871402, Time  0.236943
2021-09-22 05:30:38.265261 : Epoch  3, Batch    232, Loss  0.881205, Average Loss  0.871409, Time  0.236294
2021-09-22 05:30:40.994432 : Epoch  3, Batch    233, Loss  0.858640, Average Loss  0.871463, Time  0.236566
2021-09-22 05:30:43.656913 : Epoch  3, Batch    234, Loss  0.863831, Average Loss  0.871493, Time  0.237648
2021-09-22 05:30:46.325632 : Epoch  3, Batch    235, Loss  0.868835, Average Loss  0.871460, Time  0.236020
2021-09-22 05:30:48.976915 : Epoch  3, Batch    236, Loss  0.855426, Average Loss  0.871403, Time  0.237096
2021-09-22 05:30:51.664062 : Epoch  3, Batch    237, Loss  0.894159, Average Loss  0.871516, Time  0.236884
2021-09-22 05:30:54.328670 : Epoch  3, Batch    238, Loss  0.871664, Average Loss  0.871577, Time  0.237202
2021-09-22 05:30:56.979434 : Epoch  3, Batch    239, Loss  0.888733, Average Loss  0.871769, Time  0.236062
2021-09-22 05:30:59.653849 : Epoch  3, Batch    240, Loss  0.881284, Average Loss  0.871759, Time  0.237409
2021-09-22 05:31:02.319320 : Epoch  3, Batch    241, Loss  0.866587, Average Loss  0.871636, Time  0.236355
2021-09-22 05:31:04.983552 : Epoch  3, Batch    242, Loss  0.872789, Average Loss  0.871597, Time  0.236173
2021-09-22 05:31:07.663315 : Epoch  3, Batch    243, Loss  0.878938, Average Loss  0.871639, Time  0.236550
2021-09-22 05:31:10.324209 : Epoch  3, Batch    244, Loss  0.879157, Average Loss  0.871570, Time  0.236587
2021-09-22 05:31:12.995139 : Epoch  3, Batch    245, Loss  0.869494, Average Loss  0.871528, Time  0.236885
2021-09-22 05:31:15.656045 : Epoch  3, Batch    246, Loss  0.866987, Average Loss  0.871289, Time  0.236485
2021-09-22 05:31:18.323391 : Epoch  3, Batch    247, Loss  0.879518, Average Loss  0.871302, Time  0.237413
2021-09-22 05:31:20.974197 : Epoch  3, Batch    248, Loss  0.890036, Average Loss  0.871399, Time  0.235960
2021-09-22 05:31:23.640423 : Epoch  3, Batch    249, Loss  0.890024, Average Loss  0.871482, Time  0.236235
2021-09-22 05:31:26.304277 : Epoch  3, Batch    250, Loss  0.860699, Average Loss  0.871364, Time  0.236252
2021-09-22 05:31:28.966546 : Epoch  3, Batch    251, Loss  0.880656, Average Loss  0.871395, Time  0.235568
2021-09-22 05:31:31.632392 : Epoch  3, Batch    252, Loss  0.897074, Average Loss  0.871473, Time  0.238019
2021-09-22 05:31:34.307972 : Epoch  3, Batch    253, Loss  0.860520, Average Loss  0.871416, Time  0.236826
2021-09-22 05:31:36.985835 : Epoch  3, Batch    254, Loss  0.861138, Average Loss  0.871322, Time  0.237764
2021-09-22 05:31:39.661310 : Epoch  3, Batch    255, Loss  0.885169, Average Loss  0.871280, Time  0.235272
2021-09-22 05:31:42.333639 : Epoch  3, Batch    256, Loss  0.861334, Average Loss  0.871339, Time  0.236667
2021-09-22 05:31:44.998465 : Epoch  3, Batch    257, Loss  0.831116, Average Loss  0.870984, Time  0.237308
2021-09-22 05:31:47.653804 : Epoch  3, Batch    258, Loss  0.891304, Average Loss  0.871109, Time  0.236665
2021-09-22 05:31:50.349452 : Epoch  3, Batch    259, Loss  0.880767, Average Loss  0.871302, Time  0.236978
2021-09-22 05:31:53.013196 : Epoch  3, Batch    260, Loss  0.865892, Average Loss  0.871300, Time  0.236645
2021-09-22 05:31:55.681866 : Epoch  3, Batch    261, Loss  0.866833, Average Loss  0.871377, Time  0.236671
2021-09-22 05:31:58.360034 : Epoch  3, Batch    262, Loss  0.860499, Average Loss  0.871276, Time  0.236563
2021-09-22 05:32:01.019835 : Epoch  3, Batch    263, Loss  0.877412, Average Loss  0.871265, Time  0.236516
2021-09-22 05:32:03.673857 : Epoch  3, Batch    264, Loss  0.867124, Average Loss  0.871288, Time  0.236170
2021-09-22 05:32:06.337215 : Epoch  3, Batch    265, Loss  0.887504, Average Loss  0.871327, Time  0.235566
2021-09-22 05:32:08.996857 : Epoch  3, Batch    266, Loss  0.890121, Average Loss  0.871407, Time  0.236953
2021-09-22 05:32:11.653403 : Epoch  3, Batch    267, Loss  0.871314, Average Loss  0.871409, Time  0.235706
2021-09-22 05:32:14.313039 : Epoch  3, Batch    268, Loss  0.873278, Average Loss  0.871395, Time  0.236047
2021-09-22 05:32:16.985579 : Epoch  3, Batch    269, Loss  0.871667, Average Loss  0.871396, Time  0.236468
2021-09-22 05:32:19.636073 : Epoch  3, Batch    270, Loss  0.869531, Average Loss  0.871435, Time  0.236682
2021-09-22 05:32:22.304430 : Epoch  3, Batch    271, Loss  0.875515, Average Loss  0.871433, Time  0.236826
2021-09-22 05:32:24.962055 : Epoch  3, Batch    272, Loss  0.882203, Average Loss  0.871500, Time  0.236639
2021-09-22 05:32:27.622802 : Epoch  3, Batch    273, Loss  0.883273, Average Loss  0.871454, Time  0.236360
2021-09-22 05:32:30.293129 : Epoch  3, Batch    274, Loss  0.867321, Average Loss  0.871454, Time  0.236084
2021-09-22 05:32:32.961585 : Epoch  3, Batch    275, Loss  0.891831, Average Loss  0.871648, Time  0.237006
2021-09-22 05:32:35.638623 : Epoch  3, Batch    276, Loss  0.886181, Average Loss  0.871644, Time  0.244110
2021-09-22 05:32:38.306821 : Epoch  3, Batch    277, Loss  0.877773, Average Loss  0.871736, Time  0.236525
2021-09-22 05:32:40.981621 : Epoch  3, Batch    278, Loss  0.867489, Average Loss  0.871683, Time  0.237350
2021-09-22 05:32:43.640610 : Epoch  3, Batch    279, Loss  0.875214, Average Loss  0.871581, Time  0.237404
2021-09-22 05:32:46.301900 : Epoch  3, Batch    280, Loss  0.875756, Average Loss  0.871631, Time  0.237261
2021-09-22 05:32:48.971410 : Epoch  3, Batch    281, Loss  0.869289, Average Loss  0.871688, Time  0.236574
2021-09-22 05:32:51.629168 : Epoch  3, Batch    282, Loss  0.867994, Average Loss  0.871705, Time  0.236910
2021-09-22 05:32:54.297150 : Epoch  3, Batch    283, Loss  0.862201, Average Loss  0.871640, Time  0.236816
2021-09-22 05:32:56.966162 : Epoch  3, Batch    284, Loss  0.882164, Average Loss  0.871774, Time  0.237428
2021-09-22 05:32:59.644403 : Epoch  3, Batch    285, Loss  0.898124, Average Loss  0.871971, Time  0.236201
2021-09-22 05:33:02.304055 : Epoch  3, Batch    286, Loss  0.879445, Average Loss  0.872063, Time  0.236839
2021-09-22 05:33:04.966401 : Epoch  3, Batch    287, Loss  0.882675, Average Loss  0.872087, Time  0.236311
2021-09-22 05:33:16.747882 : Epoch  3, Batch    288, Loss  0.853359, Average Loss  0.871992, Time  0.264313
2021-09-22 05:37:25.444761 : CheckPoint: Validation Loss  0.00030950, Best Loss  0.00029586
2021-09-22 05:37:28.098167 : Epoch  3, Batch    289, Loss  0.862966, Average Loss  0.871942, Time  0.238063
2021-09-22 05:37:30.764613 : Epoch  3, Batch    290, Loss  0.868965, Average Loss  0.871961, Time  0.237758
2021-09-22 05:37:33.422900 : Epoch  3, Batch    291, Loss  0.866817, Average Loss  0.871922, Time  0.236250
2021-09-22 05:37:36.090909 : Epoch  3, Batch    292, Loss  0.849114, Average Loss  0.871935, Time  0.236304
2021-09-22 05:37:38.744855 : Epoch  3, Batch    293, Loss  0.842889, Average Loss  0.871707, Time  0.238030
2021-09-22 05:37:41.408768 : Epoch  3, Batch    294, Loss  0.867787, Average Loss  0.871670, Time  0.238149
2021-09-22 05:37:44.113206 : Epoch  3, Batch    295, Loss  0.866915, Average Loss  0.871662, Time  0.236690
2021-09-22 05:37:46.778394 : Epoch  3, Batch    296, Loss  0.894035, Average Loss  0.871798, Time  0.237004
2021-09-22 05:37:49.439389 : Epoch  3, Batch    297, Loss  0.866082, Average Loss  0.871831, Time  0.236189
2021-09-22 05:37:52.091966 : Epoch  3, Batch    298, Loss  0.882093, Average Loss  0.871904, Time  0.236924
2021-09-22 05:37:54.759476 : Epoch  3, Batch    299, Loss  0.865421, Average Loss  0.872000, Time  0.236553
2021-09-22 05:37:57.417398 : Epoch  3, Batch    300, Loss  0.863861, Average Loss  0.871915, Time  0.235878
2021-09-22 05:38:00.083567 : Epoch  3, Batch    301, Loss  0.891783, Average Loss  0.872005, Time  0.236197
2021-09-22 05:38:02.739064 : Epoch  3, Batch    302, Loss  0.877799, Average Loss  0.872050, Time  0.236549
2021-09-22 05:38:05.393865 : Epoch  3, Batch    303, Loss  0.865405, Average Loss  0.872057, Time  0.236193
2021-09-22 05:38:08.036333 : Epoch  3, Batch    304, Loss  0.867205, Average Loss  0.871962, Time  0.235961
2021-09-22 05:38:10.686410 : Epoch  3, Batch    305, Loss  0.875428, Average Loss  0.871915, Time  0.235826
2021-09-22 05:38:13.333430 : Epoch  3, Batch    306, Loss  0.858068, Average Loss  0.871836, Time  0.236320
2021-09-22 05:38:15.985243 : Epoch  3, Batch    307, Loss  0.879532, Average Loss  0.871810, Time  0.237334
2021-09-22 05:38:18.622019 : Epoch  3, Batch    308, Loss  0.860747, Average Loss  0.871832, Time  0.236261
2021-09-22 05:38:21.259486 : Epoch  3, Batch    309, Loss  0.871443, Average Loss  0.871883, Time  0.236305
2021-09-22 05:38:23.918465 : Epoch  3, Batch    310, Loss  0.873563, Average Loss  0.872010, Time  0.237195
2021-09-22 05:38:26.572232 : Epoch  3, Batch    311, Loss  0.885086, Average Loss  0.872101, Time  0.236798
2021-09-22 05:38:29.215414 : Epoch  3, Batch    312, Loss  0.870969, Average Loss  0.872107, Time  0.235972
2021-09-22 05:38:31.867984 : Epoch  3, Batch    313, Loss  0.870274, Average Loss  0.872075, Time  0.236780
2021-09-22 05:38:34.520589 : Epoch  3, Batch    314, Loss  0.857506, Average Loss  0.872078, Time  0.236956
2021-09-22 05:38:37.170016 : Epoch  3, Batch    315, Loss  0.872287, Average Loss  0.872071, Time  0.236253
2021-09-22 05:38:39.803080 : Epoch  3, Batch    316, Loss  0.842325, Average Loss  0.871943, Time  0.236948
2021-09-22 05:38:42.442391 : Epoch  3, Batch    317, Loss  0.846887, Average Loss  0.871938, Time  0.235854
2021-09-22 05:38:45.084413 : Epoch  3, Batch    318, Loss  0.865048, Average Loss  0.871941, Time  0.235917
2021-09-22 05:38:47.722679 : Epoch  3, Batch    319, Loss  0.856647, Average Loss  0.871825, Time  0.237128
2021-09-22 05:38:50.371396 : Epoch  3, Batch    320, Loss  0.870673, Average Loss  0.871844, Time  0.236488
2021-09-22 05:38:53.005733 : Epoch  3, Batch    321, Loss  0.888848, Average Loss  0.871874, Time  0.235570
2021-09-22 05:38:55.664986 : Epoch  3, Batch    322, Loss  0.882520, Average Loss  0.871886, Time  0.236901
2021-09-22 05:38:58.315999 : Epoch  3, Batch    323, Loss  0.862594, Average Loss  0.871847, Time  0.236768
2021-09-22 05:39:00.950413 : Epoch  3, Batch    324, Loss  0.885848, Average Loss  0.871870, Time  0.236194
2021-09-22 05:39:03.596387 : Epoch  3, Batch    325, Loss  0.876602, Average Loss  0.871837, Time  0.236134
2021-09-22 05:39:06.257987 : Epoch  3, Batch    326, Loss  0.853968, Average Loss  0.871762, Time  0.236905
2021-09-22 05:39:08.905393 : Epoch  3, Batch    327, Loss  0.871744, Average Loss  0.871751, Time  0.235720
2021-09-22 05:39:11.568968 : Epoch  3, Batch    328, Loss  0.867636, Average Loss  0.871793, Time  0.236458
2021-09-22 05:39:14.246708 : Epoch  3, Batch    329, Loss  0.893635, Average Loss  0.871831, Time  0.236192
2021-09-22 05:39:16.910847 : Epoch  3, Batch    330, Loss  0.887780, Average Loss  0.871835, Time  0.238009
2021-09-22 05:39:19.569886 : Epoch  3, Batch    331, Loss  0.869262, Average Loss  0.871807, Time  0.235740
2021-09-22 05:39:22.235469 : Epoch  3, Batch    332, Loss  0.875153, Average Loss  0.871838, Time  0.238451
2021-09-22 05:39:24.888003 : Epoch  3, Batch    333, Loss  0.867190, Average Loss  0.871786, Time  0.236892
2021-09-22 05:39:27.557994 : Epoch  3, Batch    334, Loss  0.868689, Average Loss  0.871755, Time  0.237622
2021-09-22 05:39:30.206418 : Epoch  3, Batch    335, Loss  0.872183, Average Loss  0.871700, Time  0.238316
2021-09-22 05:39:32.867913 : Epoch  3, Batch    336, Loss  0.865527, Average Loss  0.871629, Time  0.236275
2021-09-22 05:39:35.536873 : Epoch  3, Batch    337, Loss  0.860978, Average Loss  0.871643, Time  0.236744
2021-09-22 05:39:38.196115 : Epoch  3, Batch    338, Loss  0.892233, Average Loss  0.871852, Time  0.237271
2021-09-22 05:39:40.844656 : Epoch  3, Batch    339, Loss  0.860220, Average Loss  0.871779, Time  0.237060
2021-09-22 05:39:43.503890 : Epoch  3, Batch    340, Loss  0.873866, Average Loss  0.871728, Time  0.236794
2021-09-22 05:39:46.163416 : Epoch  3, Batch    341, Loss  0.875234, Average Loss  0.871764, Time  0.235950
2021-09-22 05:39:48.840848 : Epoch  3, Batch    342, Loss  0.847758, Average Loss  0.871647, Time  0.237317
2021-09-22 05:39:51.506541 : Epoch  3, Batch    343, Loss  0.866329, Average Loss  0.871684, Time  0.235921
2021-09-22 05:39:54.231399 : Epoch  3, Batch    344, Loss  0.886641, Average Loss  0.871736, Time  0.236508
2021-09-22 05:39:56.946912 : Epoch  3, Batch    345, Loss  0.895612, Average Loss  0.871828, Time  0.235870
2021-09-22 05:39:59.603360 : Epoch  3, Batch    346, Loss  0.873932, Average Loss  0.871798, Time  0.236584
2021-09-22 05:40:02.263823 : Epoch  3, Batch    347, Loss  0.860321, Average Loss  0.871776, Time  0.237202
2021-09-22 05:40:04.926572 : Epoch  3, Batch    348, Loss  0.853502, Average Loss  0.871659, Time  0.236571
2021-09-22 05:40:07.584130 : Epoch  3, Batch    349, Loss  0.855413, Average Loss  0.871621, Time  0.236362
2021-09-22 05:40:10.229899 : Epoch  3, Batch    350, Loss  0.871294, Average Loss  0.871641, Time  0.236996
2021-09-22 05:40:12.899174 : Epoch  3, Batch    351, Loss  0.851578, Average Loss  0.871606, Time  0.238118
2021-09-22 05:40:15.561411 : Epoch  3, Batch    352, Loss  0.871619, Average Loss  0.871456, Time  0.236746
2021-09-22 05:40:18.232588 : Epoch  3, Batch    353, Loss  0.884134, Average Loss  0.871484, Time  0.237549
2021-09-22 05:40:20.911431 : Epoch  3, Batch    354, Loss  0.881714, Average Loss  0.871558, Time  0.236758
2021-09-22 05:40:23.576481 : Epoch  3, Batch    355, Loss  0.851876, Average Loss  0.871470, Time  0.237486
2021-09-22 05:40:26.231925 : Epoch  3, Batch    356, Loss  0.888225, Average Loss  0.871607, Time  0.236507
2021-09-22 05:40:28.892321 : Epoch  3, Batch    357, Loss  0.862980, Average Loss  0.871663, Time  0.236055
2021-09-22 05:40:31.546710 : Epoch  3, Batch    358, Loss  0.857396, Average Loss  0.871526, Time  0.237839
2021-09-22 05:40:34.200806 : Epoch  3, Batch    359, Loss  0.874449, Average Loss  0.871642, Time  0.236556
2021-09-22 05:40:36.851993 : Epoch  3, Batch    360, Loss  0.865142, Average Loss  0.871630, Time  0.236772
2021-09-22 05:40:39.501571 : Epoch  3, Batch    361, Loss  0.862091, Average Loss  0.871558, Time  0.236812
2021-09-22 05:40:42.157856 : Epoch  3, Batch    362, Loss  0.860071, Average Loss  0.871494, Time  0.236836
2021-09-22 05:40:44.819383 : Epoch  3, Batch    363, Loss  0.874834, Average Loss  0.871512, Time  0.236136
2021-09-22 05:40:47.482413 : Epoch  3, Batch    364, Loss  0.858578, Average Loss  0.871547, Time  0.236518
2021-09-22 05:40:50.133873 : Epoch  3, Batch    365, Loss  0.870627, Average Loss  0.871568, Time  0.236161
2021-09-22 05:40:52.825180 : Epoch  3, Batch    366, Loss  0.863950, Average Loss  0.871532, Time  0.236768
2021-09-22 05:40:55.518955 : Epoch  3, Batch    367, Loss  0.897833, Average Loss  0.871637, Time  0.236101
2021-09-22 05:40:58.234073 : Epoch  3, Batch    368, Loss  0.839402, Average Loss  0.871432, Time  0.236120
2021-09-22 05:41:00.894341 : Epoch  3, Batch    369, Loss  0.867587, Average Loss  0.871451, Time  0.236075
2021-09-22 05:41:03.545998 : Epoch  3, Batch    370, Loss  0.871358, Average Loss  0.871495, Time  0.236332
2021-09-22 05:41:06.208408 : Epoch  3, Batch    371, Loss  0.886064, Average Loss  0.871590, Time  0.236493
2021-09-22 05:41:08.870251 : Epoch  3, Batch    372, Loss  0.869244, Average Loss  0.871519, Time  0.236685
2021-09-22 05:41:11.528981 : Epoch  3, Batch    373, Loss  0.856470, Average Loss  0.871436, Time  0.237715
2021-09-22 05:41:14.251865 : Epoch  3, Batch    374, Loss  0.873924, Average Loss  0.871391, Time  0.237388
2021-09-22 05:41:16.929047 : Epoch  3, Batch    375, Loss  0.848286, Average Loss  0.871270, Time  0.237737
2021-09-22 05:41:19.599653 : Epoch  3, Batch    376, Loss  0.877868, Average Loss  0.871266, Time  0.236048
2021-09-22 05:41:22.270007 : Epoch  3, Batch    377, Loss  0.864833, Average Loss  0.871219, Time  0.237415
2021-09-22 05:41:24.932388 : Epoch  3, Batch    378, Loss  0.882381, Average Loss  0.871279, Time  0.237187
2021-09-22 05:41:27.596765 : Epoch  3, Batch    379, Loss  0.879694, Average Loss  0.871320, Time  0.236440
2021-09-22 05:41:30.268819 : Epoch  3, Batch    380, Loss  0.861032, Average Loss  0.871232, Time  0.236497
2021-09-22 05:41:32.942994 : Epoch  3, Batch    381, Loss  0.854355, Average Loss  0.871234, Time  0.236810
2021-09-22 05:41:35.599929 : Epoch  3, Batch    382, Loss  0.882594, Average Loss  0.871329, Time  0.237574
2021-09-22 05:41:38.264918 : Epoch  3, Batch    383, Loss  0.864221, Average Loss  0.871277, Time  0.235655
2021-09-22 05:41:40.910891 : Epoch  3, Batch    384, Loss  0.865553, Average Loss  0.871120, Time  0.236372
2021-09-22 05:41:43.571040 : Epoch  3, Batch    385, Loss  0.880376, Average Loss  0.871042, Time  0.236907
2021-09-22 05:41:46.246077 : Epoch  3, Batch    386, Loss  0.869595, Average Loss  0.870996, Time  0.235956
2021-09-22 05:41:48.937158 : Epoch  3, Batch    387, Loss  0.860626, Average Loss  0.870971, Time  0.235759
2021-09-22 05:41:51.595849 : Epoch  3, Batch    388, Loss  0.857210, Average Loss  0.870868, Time  0.236818
2021-09-22 05:46:00.292759 : CheckPoint: Validation Loss  0.00030148, Best Loss  0.00029586
2021-09-22 05:46:02.950003 : Epoch  3, Batch    389, Loss  0.871744, Average Loss  0.870937, Time  0.237746
2021-09-22 05:46:05.600181 : Epoch  3, Batch    390, Loss  0.870796, Average Loss  0.870955, Time  0.237177
2021-09-22 05:46:08.239259 : Epoch  3, Batch    391, Loss  0.887301, Average Loss  0.870945, Time  0.235944
2021-09-22 05:46:10.973738 : Epoch  3, Batch    392, Loss  0.867474, Average Loss  0.870901, Time  0.236993
2021-09-22 05:46:13.645885 : Epoch  3, Batch    393, Loss  0.869326, Average Loss  0.870829, Time  0.237089
2021-09-22 05:46:16.317110 : Epoch  3, Batch    394, Loss  0.859812, Average Loss  0.870681, Time  0.237316
2021-09-22 05:46:18.969693 : Epoch  3, Batch    395, Loss  0.871490, Average Loss  0.870668, Time  0.236962
2021-09-22 05:46:21.623836 : Epoch  3, Batch    396, Loss  0.854437, Average Loss  0.870510, Time  0.236883
2021-09-22 05:46:24.279963 : Epoch  3, Batch    397, Loss  0.880742, Average Loss  0.870611, Time  0.236411
2021-09-22 05:46:26.930844 : Epoch  3, Batch    398, Loss  0.863651, Average Loss  0.870624, Time  0.236684
2021-09-22 05:46:29.575917 : Epoch  3, Batch    399, Loss  0.868576, Average Loss  0.870722, Time  0.235553
2021-09-22 05:46:32.241581 : Epoch  3, Batch    400, Loss  0.871663, Average Loss  0.870752, Time  0.237044
2021-09-22 05:46:34.913997 : Epoch  3, Batch    401, Loss  0.884088, Average Loss  0.870848, Time  0.235573
2021-09-22 05:46:37.562389 : Epoch  3, Batch    402, Loss  0.879068, Average Loss  0.870816, Time  0.236608
2021-09-22 05:46:40.224148 : Epoch  3, Batch    403, Loss  0.892840, Average Loss  0.870983, Time  0.236697
2021-09-22 05:46:42.892425 : Epoch  3, Batch    404, Loss  0.881217, Average Loss  0.871102, Time  0.236260
2021-09-22 05:46:45.556169 : Epoch  3, Batch    405, Loss  0.865897, Average Loss  0.871086, Time  0.236866
2021-09-22 05:46:48.222394 : Epoch  3, Batch    406, Loss  0.871312, Average Loss  0.871038, Time  0.236474
2021-09-22 05:46:50.863438 : Epoch  3, Batch    407, Loss  0.876407, Average Loss  0.871079, Time  0.235826
2021-09-22 05:46:53.526432 : Epoch  3, Batch    408, Loss  0.874836, Average Loss  0.871157, Time  0.236571
2021-09-22 05:46:56.176483 : Epoch  3, Batch    409, Loss  0.865518, Average Loss  0.871146, Time  0.237042
2021-09-22 05:46:58.836170 : Epoch  3, Batch    410, Loss  0.859595, Average Loss  0.871017, Time  0.238059
2021-09-22 05:47:01.491887 : Epoch  3, Batch    411, Loss  0.870406, Average Loss  0.871034, Time  0.236194
2021-09-22 05:47:04.147453 : Epoch  3, Batch    412, Loss  0.890129, Average Loss  0.871093, Time  0.236899
2021-09-22 05:47:06.874040 : Epoch  3, Batch    413, Loss  0.877359, Average Loss  0.871200, Time  0.237473
2021-09-22 05:47:09.519180 : Epoch  3, Batch    414, Loss  0.866496, Average Loss  0.871133, Time  0.237029
2021-09-22 05:47:12.161990 : Epoch  3, Batch    415, Loss  0.874356, Average Loss  0.871187, Time  0.236829
2021-09-22 05:47:14.836850 : Epoch  3, Batch    416, Loss  0.853091, Average Loss  0.871133, Time  0.236978
2021-09-22 05:47:17.501200 : Epoch  3, Batch    417, Loss  0.879529, Average Loss  0.871062, Time  0.236702
2021-09-22 05:47:20.158037 : Epoch  3, Batch    418, Loss  0.864636, Average Loss  0.871070, Time  0.236837
2021-09-22 05:47:22.848968 : Epoch  3, Batch    419, Loss  0.875544, Average Loss  0.871068, Time  0.237006
2021-09-22 05:47:25.563959 : Epoch  3, Batch    420, Loss  0.869709, Average Loss  0.871037, Time  0.236634
2021-09-22 05:47:28.218938 : Epoch  3, Batch    421, Loss  0.872752, Average Loss  0.870963, Time  0.236431
2021-09-22 05:47:30.878180 : Epoch  3, Batch    422, Loss  0.843408, Average Loss  0.870815, Time  0.236112
2021-09-22 05:47:33.522237 : Epoch  3, Batch    423, Loss  0.879210, Average Loss  0.870872, Time  0.236802
2021-09-22 05:47:36.174885 : Epoch  3, Batch    424, Loss  0.881575, Average Loss  0.870954, Time  0.237076
2021-09-22 05:47:38.836078 : Epoch  3, Batch    425, Loss  0.891654, Average Loss  0.870993, Time  0.235780
2021-09-22 05:47:41.487420 : Epoch  3, Batch    426, Loss  0.896169, Average Loss  0.871111, Time  0.235934
2021-09-22 05:47:44.145419 : Epoch  3, Batch    427, Loss  0.875393, Average Loss  0.871182, Time  0.235890
2021-09-22 05:47:46.802440 : Epoch  3, Batch    428, Loss  0.876239, Average Loss  0.871290, Time  0.236913
2021-09-22 05:47:49.477540 : Epoch  3, Batch    429, Loss  0.874520, Average Loss  0.871376, Time  0.235872
2021-09-22 05:47:52.184822 : Epoch  3, Batch    430, Loss  0.879101, Average Loss  0.871402, Time  0.236556
2021-09-22 05:47:54.868818 : Epoch  3, Batch    431, Loss  0.869547, Average Loss  0.871513, Time  0.236908
2021-09-22 05:47:57.537971 : Epoch  3, Batch    432, Loss  0.872348, Average Loss  0.871469, Time  0.236186
2021-09-22 05:48:00.207903 : Epoch  3, Batch    433, Loss  0.867885, Average Loss  0.871515, Time  0.236764
2021-09-22 05:48:02.870893 : Epoch  3, Batch    434, Loss  0.873302, Average Loss  0.871562, Time  0.237368
2021-09-22 05:48:05.529888 : Epoch  3, Batch    435, Loss  0.865900, Average Loss  0.871548, Time  0.236244
2021-09-22 05:48:08.187010 : Epoch  3, Batch    436, Loss  0.864404, Average Loss  0.871592, Time  0.237302
2021-09-22 05:48:10.866845 : Epoch  3, Batch    437, Loss  0.896593, Average Loss  0.871605, Time  0.236768
2021-09-22 05:48:13.514834 : Epoch  3, Batch    438, Loss  0.863989, Average Loss  0.871566, Time  0.237334
2021-09-22 05:48:16.282834 : Epoch  3, Batch    439, Loss  0.879355, Average Loss  0.871519, Time  0.236103
2021-09-22 05:48:18.954862 : Epoch  3, Batch    440, Loss  0.863583, Average Loss  0.871431, Time  0.237025
2021-09-22 05:48:21.611394 : Epoch  3, Batch    441, Loss  0.878254, Average Loss  0.871489, Time  0.238988
2021-09-22 05:48:24.261898 : Epoch  3, Batch    442, Loss  0.863312, Average Loss  0.871442, Time  0.236179
2021-09-22 05:48:26.919294 : Epoch  3, Batch    443, Loss  0.893867, Average Loss  0.871516, Time  0.236575
2021-09-22 05:48:29.582399 : Epoch  3, Batch    444, Loss  0.879441, Average Loss  0.871518, Time  0.237909
2021-09-22 05:48:32.241962 : Epoch  3, Batch    445, Loss  0.876102, Average Loss  0.871551, Time  0.236909
2021-09-22 05:48:34.903859 : Epoch  3, Batch    446, Loss  0.883425, Average Loss  0.871633, Time  0.236619
2021-09-22 05:48:37.559480 : Epoch  3, Batch    447, Loss  0.890461, Average Loss  0.871688, Time  0.236626
2021-09-22 05:48:40.228971 : Epoch  3, Batch    448, Loss  0.861109, Average Loss  0.871543, Time  0.236966
2021-09-22 05:48:42.884251 : Epoch  3, Batch    449, Loss  0.896054, Average Loss  0.871573, Time  0.236883
2021-09-22 05:48:45.550407 : Epoch  3, Batch    450, Loss  0.856477, Average Loss  0.871552, Time  0.236967
2021-09-22 05:48:48.201067 : Epoch  3, Batch    451, Loss  0.880182, Average Loss  0.871550, Time  0.236120
2021-09-22 05:48:50.859148 : Epoch  3, Batch    452, Loss  0.847314, Average Loss  0.871301, Time  0.236516
2021-09-22 05:48:53.550404 : Epoch  3, Batch    453, Loss  0.879506, Average Loss  0.871396, Time  0.236064
2021-09-22 05:48:56.254887 : Epoch  3, Batch    454, Loss  0.861681, Average Loss  0.871399, Time  0.236543
2021-09-22 05:48:58.918406 : Epoch  3, Batch    455, Loss  0.870238, Average Loss  0.871324, Time  0.236400
2021-09-22 05:49:01.575991 : Epoch  3, Batch    456, Loss  0.881510, Average Loss  0.871425, Time  0.237090
2021-09-22 05:49:04.230930 : Epoch  3, Batch    457, Loss  0.871933, Average Loss  0.871629, Time  0.235791
2021-09-22 05:49:06.933942 : Epoch  3, Batch    458, Loss  0.889619, Average Loss  0.871621, Time  0.237443
2021-09-22 05:49:09.602087 : Epoch  3, Batch    459, Loss  0.859361, Average Loss  0.871514, Time  0.237564
2021-09-22 05:49:12.271017 : Epoch  3, Batch    460, Loss  0.875385, Average Loss  0.871561, Time  0.237653
2021-09-22 05:49:14.938030 : Epoch  3, Batch    461, Loss  0.846213, Average Loss  0.871458, Time  0.236835
2021-09-22 05:49:17.593891 : Epoch  3, Batch    462, Loss  0.865530, Average Loss  0.871483, Time  0.236956
2021-09-22 05:49:20.259308 : Epoch  3, Batch    463, Loss  0.874616, Average Loss  0.871469, Time  0.235980
2021-09-22 05:49:22.896508 : Epoch  3, Batch    464, Loss  0.863325, Average Loss  0.871450, Time  0.235316
2021-09-22 05:49:25.529356 : Epoch  3, Batch    465, Loss  0.857172, Average Loss  0.871298, Time  0.236043
2021-09-22 05:49:28.189973 : Epoch  3, Batch    466, Loss  0.864406, Average Loss  0.871170, Time  0.235564
2021-09-22 05:49:30.794094 : Epoch  3, Batch    467, Loss  0.854825, Average Loss  0.871087, Time  0.235044
2021-09-22 05:49:33.413382 : Epoch  3, Batch    468, Loss  0.863711, Average Loss  0.871040, Time  0.235289
2021-09-22 05:49:36.044465 : Epoch  3, Batch    469, Loss  0.873843, Average Loss  0.871050, Time  0.235136
2021-09-22 05:49:38.664036 : Epoch  3, Batch    470, Loss  0.878741, Average Loss  0.871096, Time  0.236551
2021-09-22 05:49:41.291897 : Epoch  3, Batch    471, Loss  0.865533, Average Loss  0.871047, Time  0.235756
2021-09-22 05:49:43.931930 : Epoch  3, Batch    472, Loss  0.837255, Average Loss  0.870822, Time  0.236461
2021-09-22 05:49:46.568456 : Epoch  3, Batch    473, Loss  0.882083, Average Loss  0.870816, Time  0.236198
2021-09-22 05:49:49.217372 : Epoch  3, Batch    474, Loss  0.862319, Average Loss  0.870791, Time  0.236358
2021-09-22 05:49:51.856977 : Epoch  3, Batch    475, Loss  0.858541, Average Loss  0.870624, Time  0.235901
2021-09-22 05:49:54.499197 : Epoch  3, Batch    476, Loss  0.850953, Average Loss  0.870448, Time  0.235868
2021-09-22 05:49:57.147846 : Epoch  3, Batch    477, Loss  0.863144, Average Loss  0.870375, Time  0.236596
2021-09-22 05:49:59.807018 : Epoch  3, Batch    478, Loss  0.867603, Average Loss  0.870376, Time  0.236718
2021-09-22 05:50:02.503921 : Epoch  3, Batch    479, Loss  0.867511, Average Loss  0.870337, Time  0.237630
2021-09-22 05:50:05.187268 : Epoch  3, Batch    480, Loss  0.877656, Average Loss  0.870347, Time  0.236609
2021-09-22 05:50:07.848909 : Epoch  3, Batch    481, Loss  0.860075, Average Loss  0.870301, Time  0.237506
2021-09-22 05:50:10.507585 : Epoch  3, Batch    482, Loss  0.876755, Average Loss  0.870344, Time  0.236801
2021-09-22 05:50:13.229101 : Epoch  3, Batch    483, Loss  0.880848, Average Loss  0.870438, Time  0.236866
2021-09-22 05:50:15.890037 : Epoch  3, Batch    484, Loss  0.865088, Average Loss  0.870352, Time  0.236965
2021-09-22 05:50:18.541162 : Epoch  3, Batch    485, Loss  0.876109, Average Loss  0.870242, Time  0.236713
2021-09-22 05:50:21.206378 : Epoch  3, Batch    486, Loss  0.867558, Average Loss  0.870183, Time  0.241699
2021-09-22 05:50:23.855558 : Epoch  3, Batch    487, Loss  0.870323, Average Loss  0.870121, Time  0.236169
2021-09-22 05:50:26.518021 : Epoch  3, Batch    488, Loss  0.874722, Average Loss  0.870228, Time  0.236204
2021-09-22 05:54:36.306763 : CheckPoint: Validation Loss  0.00029452, Best Loss  0.00029452
2021-09-22 05:54:36.344567 : Best Model Updated
2021-09-22 05:54:39.697920 : Epoch  3, Batch    489, Loss  0.870523, Average Loss  0.870266, Time  0.237936
2021-09-22 05:54:42.354267 : Epoch  3, Batch    490, Loss  0.854619, Average Loss  0.870194, Time  0.237030
2021-09-22 05:54:45.032056 : Epoch  3, Batch    491, Loss  0.868679, Average Loss  0.870203, Time  0.237246
2021-09-22 05:54:47.686453 : Epoch  3, Batch    492, Loss  0.855592, Average Loss  0.870236, Time  0.236493
2021-09-22 05:54:50.340155 : Epoch  3, Batch    493, Loss  0.884873, Average Loss  0.870445, Time  0.237187
2021-09-22 05:54:53.025417 : Epoch  3, Batch    494, Loss  0.884550, Average Loss  0.870529, Time  0.236944
2021-09-22 05:54:55.699093 : Epoch  3, Batch    495, Loss  0.855385, Average Loss  0.870472, Time  0.236352
2021-09-22 05:54:58.360840 : Epoch  3, Batch    496, Loss  0.856759, Average Loss  0.870285, Time  0.236978
2021-09-22 05:55:01.022092 : Epoch  3, Batch    497, Loss  0.870424, Average Loss  0.870307, Time  0.236764
2021-09-22 05:55:03.694567 : Epoch  3, Batch    498, Loss  0.878174, Average Loss  0.870287, Time  0.236328
2021-09-22 05:55:06.355424 : Epoch  3, Batch    499, Loss  0.876427, Average Loss  0.870342, Time  0.236484
2021-09-22 05:55:09.019380 : Epoch  3, Batch    500, Loss  0.881509, Average Loss  0.870431, Time  0.236438
2021-09-22 05:55:11.670982 : Epoch  3, Batch    501, Loss  0.869800, Average Loss  0.870321, Time  0.236635
2021-09-22 05:55:14.324576 : Epoch  3, Batch    502, Loss  0.877005, Average Loss  0.870317, Time  0.236147
2021-09-22 05:55:16.992907 : Epoch  3, Batch    503, Loss  0.877758, Average Loss  0.870379, Time  0.236259
2021-09-22 05:55:19.652050 : Epoch  3, Batch    504, Loss  0.853473, Average Loss  0.870310, Time  0.236420
2021-09-22 05:55:22.306306 : Epoch  3, Batch    505, Loss  0.846066, Average Loss  0.870163, Time  0.236304
2021-09-22 05:55:24.969153 : Epoch  3, Batch    506, Loss  0.887003, Average Loss  0.870308, Time  0.236796
2021-09-22 05:55:27.653867 : Epoch  3, Batch    507, Loss  0.865053, Average Loss  0.870235, Time  0.235707
2021-09-22 05:55:30.332427 : Epoch  3, Batch    508, Loss  0.849324, Average Loss  0.870178, Time  0.236279
2021-09-22 05:55:32.986939 : Epoch  3, Batch    509, Loss  0.873650, Average Loss  0.870189, Time  0.236170
2021-09-22 05:55:35.633423 : Epoch  3, Batch    510, Loss  0.876406, Average Loss  0.870203, Time  0.236407
2021-09-22 05:55:38.292743 : Epoch  3, Batch    511, Loss  0.869847, Average Loss  0.870127, Time  0.236789
2021-09-22 05:55:40.944398 : Epoch  3, Batch    512, Loss  0.871156, Average Loss  0.870128, Time  0.236705
2021-09-22 05:55:43.613950 : Epoch  3, Batch    513, Loss  0.870064, Average Loss  0.870127, Time  0.236796
2021-09-22 05:55:46.270406 : Epoch  3, Batch    514, Loss  0.889228, Average Loss  0.870286, Time  0.235842
2021-09-22 05:55:48.918771 : Epoch  3, Batch    515, Loss  0.871118, Average Loss  0.870280, Time  0.236752
2021-09-22 05:55:51.565173 : Epoch  3, Batch    516, Loss  0.869876, Average Loss  0.870418, Time  0.236919
2021-09-22 05:55:54.204220 : Epoch  3, Batch    517, Loss  0.856390, Average Loss  0.870465, Time  0.236280
2021-09-22 05:55:56.849419 : Epoch  3, Batch    518, Loss  0.901247, Average Loss  0.870646, Time  0.237067
2021-09-22 05:55:59.509073 : Epoch  3, Batch    519, Loss  0.867555, Average Loss  0.870701, Time  0.236819
2021-09-22 05:56:02.200972 : Epoch  3, Batch    520, Loss  0.872956, Average Loss  0.870712, Time  0.236471
2021-09-22 05:56:04.864657 : Epoch  3, Batch    521, Loss  0.884905, Average Loss  0.870692, Time  0.236360
2021-09-22 05:56:07.598841 : Epoch  3, Batch    522, Loss  0.881228, Average Loss  0.870686, Time  0.236993
2021-09-22 05:56:10.249607 : Epoch  3, Batch    523, Loss  0.884737, Average Loss  0.870797, Time  0.236372
2021-09-22 05:56:12.907381 : Epoch  3, Batch    524, Loss  0.870537, Average Loss  0.870720, Time  0.237364
2021-09-22 05:56:15.555395 : Epoch  3, Batch    525, Loss  0.865599, Average Loss  0.870665, Time  0.236055
2021-09-22 05:56:18.200458 : Epoch  3, Batch    526, Loss  0.892393, Average Loss  0.870857, Time  0.236241
2021-09-22 05:56:20.847217 : Epoch  3, Batch    527, Loss  0.878181, Average Loss  0.870889, Time  0.235790
2021-09-22 05:56:23.540065 : Epoch  3, Batch    528, Loss  0.889704, Average Loss  0.871000, Time  0.235623
2021-09-22 05:56:26.197974 : Epoch  3, Batch    529, Loss  0.868801, Average Loss  0.870876, Time  0.236617
2021-09-22 05:56:28.850439 : Epoch  3, Batch    530, Loss  0.844667, Average Loss  0.870660, Time  0.236009
2021-09-22 05:56:31.502025 : Epoch  3, Batch    531, Loss  0.861475, Average Loss  0.870621, Time  0.236591
2021-09-22 05:56:34.150990 : Epoch  3, Batch    532, Loss  0.859238, Average Loss  0.870542, Time  0.236902
2021-09-22 05:56:36.812416 : Epoch  3, Batch    533, Loss  0.887866, Average Loss  0.870645, Time  0.237013
2021-09-22 05:56:39.502861 : Epoch  3, Batch    534, Loss  0.880947, Average Loss  0.870706, Time  0.236006
2021-09-22 05:56:42.179873 : Epoch  3, Batch    535, Loss  0.876630, Average Loss  0.870728, Time  0.235897
2021-09-22 05:56:44.832878 : Epoch  3, Batch    536, Loss  0.851930, Average Loss  0.870660, Time  0.237712
2021-09-22 05:56:47.493804 : Epoch  3, Batch    537, Loss  0.855446, Average Loss  0.870633, Time  0.236810
2021-09-22 05:56:50.150664 : Epoch  3, Batch    538, Loss  0.841398, Average Loss  0.870379, Time  0.237104
2021-09-22 05:56:52.790038 : Epoch  3, Batch    539, Loss  0.880013, Average Loss  0.870478, Time  0.236701
2021-09-22 05:56:55.448827 : Epoch  3, Batch    540, Loss  0.871069, Average Loss  0.870464, Time  0.236732
2021-09-22 05:56:58.124177 : Epoch  3, Batch    541, Loss  0.859769, Average Loss  0.870386, Time  0.236496
2021-09-22 05:57:00.784993 : Epoch  3, Batch    542, Loss  0.865420, Average Loss  0.870475, Time  0.237205
2021-09-22 05:57:03.446419 : Epoch  3, Batch    543, Loss  0.864569, Average Loss  0.870466, Time  0.236802
2021-09-22 05:57:06.100439 : Epoch  3, Batch    544, Loss  0.860088, Average Loss  0.870333, Time  0.236077
2021-09-22 05:57:08.785905 : Epoch  3, Batch    545, Loss  0.878774, Average Loss  0.870249, Time  0.236216
2021-09-22 05:57:11.445200 : Epoch  3, Batch    546, Loss  0.872745, Average Loss  0.870243, Time  0.235614
2021-09-22 05:57:14.098072 : Epoch  3, Batch    547, Loss  0.864118, Average Loss  0.870262, Time  0.236230
2021-09-22 05:57:16.746943 : Epoch  3, Batch    548, Loss  0.880208, Average Loss  0.870395, Time  0.236542
2021-09-22 05:57:19.410105 : Epoch  3, Batch    549, Loss  0.864297, Average Loss  0.870440, Time  0.236015
2021-09-22 05:57:22.064322 : Epoch  3, Batch    550, Loss  0.868568, Average Loss  0.870426, Time  0.236149
2021-09-22 05:57:24.723424 : Epoch  3, Batch    551, Loss  0.869578, Average Loss  0.870516, Time  0.236230
2021-09-22 05:57:27.400310 : Epoch  3, Batch    552, Loss  0.884310, Average Loss  0.870580, Time  0.236175
2021-09-22 05:57:30.060864 : Epoch  3, Batch    553, Loss  0.878477, Average Loss  0.870551, Time  0.236339
2021-09-22 05:57:32.709877 : Epoch  3, Batch    554, Loss  0.866319, Average Loss  0.870474, Time  0.236497
2021-09-22 05:57:35.353937 : Epoch  3, Batch    555, Loss  0.885751, Average Loss  0.870644, Time  0.236774
2021-09-22 05:57:38.030468 : Epoch  3, Batch    556, Loss  0.868498, Average Loss  0.870545, Time  0.236119
2021-09-22 05:57:40.707550 : Epoch  3, Batch    557, Loss  0.879798, Average Loss  0.870629, Time  0.236575
2021-09-22 05:57:43.356416 : Epoch  3, Batch    558, Loss  0.863460, Average Loss  0.870660, Time  0.236216
2021-09-22 05:57:46.017594 : Epoch  3, Batch    559, Loss  0.856247, Average Loss  0.870569, Time  0.237269
2021-09-22 05:57:48.677285 : Epoch  3, Batch    560, Loss  0.885050, Average Loss  0.870668, Time  0.235812
2021-09-22 05:57:51.333039 : Epoch  3, Batch    561, Loss  0.876696, Average Loss  0.870741, Time  0.237382
2021-09-22 05:57:53.977092 : Epoch  3, Batch    562, Loss  0.882636, Average Loss  0.870854, Time  0.236459
2021-09-22 05:57:56.677959 : Epoch  3, Batch    563, Loss  0.862361, Average Loss  0.870792, Time  0.236939
2021-09-22 05:57:59.332251 : Epoch  3, Batch    564, Loss  0.861484, Average Loss  0.870806, Time  0.237156
2021-09-22 05:58:01.974427 : Epoch  3, Batch    565, Loss  0.888798, Average Loss  0.870897, Time  0.236161
2021-09-22 05:58:04.641010 : Epoch  3, Batch    566, Loss  0.829588, Average Loss  0.870725, Time  0.236087
2021-09-22 05:58:07.291290 : Epoch  3, Batch    567, Loss  0.891007, Average Loss  0.870691, Time  0.236322
2021-09-22 05:58:09.944322 : Epoch  3, Batch    568, Loss  0.871768, Average Loss  0.870853, Time  0.236549
2021-09-22 05:58:12.631426 : Epoch  3, Batch    569, Loss  0.898744, Average Loss  0.871009, Time  0.236767
2021-09-22 05:58:15.278032 : Epoch  3, Batch    570, Loss  0.879746, Average Loss  0.871051, Time  0.236458
2021-09-22 05:58:17.928715 : Epoch  3, Batch    571, Loss  0.857232, Average Loss  0.870906, Time  0.235841
2021-09-22 05:58:20.672994 : Epoch  3, Batch    572, Loss  0.877149, Average Loss  0.870946, Time  0.236794
2021-09-22 05:58:23.325152 : Epoch  3, Batch    573, Loss  0.890057, Average Loss  0.871114, Time  0.236350
2021-09-22 05:58:25.988423 : Epoch  3, Batch    574, Loss  0.873284, Average Loss  0.871111, Time  0.236323
2021-09-22 05:58:28.645878 : Epoch  3, Batch    575, Loss  0.849856, Average Loss  0.871118, Time  0.236213
2021-09-22 05:58:31.293734 : Epoch  3, Batch    576, Loss  0.857784, Average Loss  0.871018, Time  0.236474
2021-09-22 05:58:33.949048 : Epoch  3, Batch    577, Loss  0.871481, Average Loss  0.871051, Time  0.237398
2021-09-22 05:58:36.604224 : Epoch  3, Batch    578, Loss  0.893660, Average Loss  0.871108, Time  0.236330
2021-09-22 05:58:39.267040 : Epoch  3, Batch    579, Loss  0.866441, Average Loss  0.871041, Time  0.236864
2021-09-22 05:58:41.934844 : Epoch  3, Batch    580, Loss  0.860153, Average Loss  0.871037, Time  0.236392
2021-09-22 05:58:44.593347 : Epoch  3, Batch    581, Loss  0.855611, Average Loss  0.871043, Time  0.238034
2021-09-22 05:58:47.246897 : Epoch  3, Batch    582, Loss  0.867102, Average Loss  0.870966, Time  0.236342
2021-09-22 05:58:49.913495 : Epoch  3, Batch    583, Loss  0.872213, Average Loss  0.871006, Time  0.237263
2021-09-22 05:58:52.571495 : Epoch  3, Batch    584, Loss  0.857760, Average Loss  0.870967, Time  0.236615
2021-09-22 05:58:55.229863 : Epoch  3, Batch    585, Loss  0.874232, Average Loss  0.870936, Time  0.236107
2021-09-22 05:58:57.879386 : Epoch  3, Batch    586, Loss  0.881950, Average Loss  0.870998, Time  0.236455
2021-09-22 05:59:00.537551 : Epoch  3, Batch    587, Loss  0.881846, Average Loss  0.871104, Time  0.236202
2021-09-22 05:59:03.204827 : Epoch  3, Batch    588, Loss  0.887280, Average Loss  0.871254, Time  0.236514
2021-09-22 06:03:13.006769 : CheckPoint: Validation Loss  0.00029958, Best Loss  0.00029452
2021-09-22 06:03:15.666052 : Epoch  3, Batch    589, Loss  0.895386, Average Loss  0.871373, Time  0.238080
2021-09-22 06:03:18.349963 : Epoch  3, Batch    590, Loss  0.862000, Average Loss  0.871329, Time  0.237245
2021-09-22 06:03:21.027355 : Epoch  3, Batch    591, Loss  0.871427, Average Loss  0.871249, Time  0.236173
2021-09-22 06:03:23.722961 : Epoch  3, Batch    592, Loss  0.868076, Average Loss  0.871252, Time  0.251591
2021-09-22 06:03:26.373049 : Epoch  3, Batch    593, Loss  0.873144, Average Loss  0.871271, Time  0.237518
2021-09-22 06:03:29.029886 : Epoch  3, Batch    594, Loss  0.872213, Average Loss  0.871333, Time  0.237282
2021-09-22 06:03:31.686057 : Epoch  3, Batch    595, Loss  0.892249, Average Loss  0.871437, Time  0.236910
2021-09-22 06:03:34.338616 : Epoch  3, Batch    596, Loss  0.888102, Average Loss  0.871605, Time  0.236968
2021-09-22 06:03:36.988030 : Epoch  3, Batch    597, Loss  0.866095, Average Loss  0.871532, Time  0.236260
2021-09-22 06:03:39.637388 : Epoch  3, Batch    598, Loss  0.878267, Average Loss  0.871605, Time  0.236951
2021-09-22 06:03:42.287393 : Epoch  3, Batch    599, Loss  0.878561, Average Loss  0.871655, Time  0.235838
2021-09-22 06:03:44.937120 : Epoch  3, Batch    600, Loss  0.871926, Average Loss  0.871657, Time  0.235921
2021-09-22 06:03:47.703252 : Epoch  3, Batch    601, Loss  0.873808, Average Loss  0.871605, Time  0.237671
2021-09-22 06:03:50.349159 : Epoch  3, Batch    602, Loss  0.870135, Average Loss  0.871560, Time  0.236992
2021-09-22 06:03:52.994777 : Epoch  3, Batch    603, Loss  0.849128, Average Loss  0.871342, Time  0.236397
2021-09-22 06:03:55.637639 : Epoch  3, Batch    604, Loss  0.863167, Average Loss  0.871252, Time  0.235904
2021-09-22 06:03:58.325401 : Epoch  3, Batch    605, Loss  0.870753, Average Loss  0.871276, Time  0.236629
2021-09-22 06:04:00.980635 : Epoch  3, Batch    606, Loss  0.844206, Average Loss  0.871140, Time  0.236325
2021-09-22 06:04:03.615560 : Epoch  3, Batch    607, Loss  0.847728, Average Loss  0.870997, Time  0.235945
2021-09-22 06:04:06.252605 : Epoch  3, Batch    608, Loss  0.861864, Average Loss  0.870932, Time  0.236068
2021-09-22 06:04:08.908440 : Epoch  3, Batch    609, Loss  0.902378, Average Loss  0.871116, Time  0.235958
2021-09-22 06:04:11.566390 : Epoch  3, Batch    610, Loss  0.887677, Average Loss  0.871257, Time  0.236529
2021-09-22 06:04:14.204407 : Epoch  3, Batch    611, Loss  0.861349, Average Loss  0.871212, Time  0.235962
2021-09-22 06:04:16.857900 : Epoch  3, Batch    612, Loss  0.856470, Average Loss  0.871043, Time  0.237958
2021-09-22 06:04:19.500183 : Epoch  3, Batch    613, Loss  0.869653, Average Loss  0.871005, Time  0.235971
2021-09-22 06:04:22.164889 : Epoch  3, Batch    614, Loss  0.883087, Average Loss  0.871088, Time  0.236308
2021-09-22 06:04:24.840919 : Epoch  3, Batch    615, Loss  0.867550, Average Loss  0.871054, Time  0.236222
2021-09-22 06:04:27.501920 : Epoch  3, Batch    616, Loss  0.868666, Average Loss  0.871132, Time  0.237602
2021-09-22 06:04:30.143904 : Epoch  3, Batch    617, Loss  0.851261, Average Loss  0.870990, Time  0.235538
2021-09-22 06:04:32.806062 : Epoch  3, Batch    618, Loss  0.860382, Average Loss  0.870969, Time  0.237686
2021-09-22 06:04:35.456423 : Epoch  3, Batch    619, Loss  0.882402, Average Loss  0.871003, Time  0.236866
2021-09-22 06:04:38.095089 : Epoch  3, Batch    620, Loss  0.869096, Average Loss  0.871000, Time  0.237051
2021-09-22 06:04:40.743951 : Epoch  3, Batch    621, Loss  0.881477, Average Loss  0.871044, Time  0.237345
2021-09-22 06:04:43.394302 : Epoch  3, Batch    622, Loss  0.882394, Average Loss  0.871239, Time  0.236730
2021-09-22 06:04:46.039887 : Epoch  3, Batch    623, Loss  0.848285, Average Loss  0.871084, Time  0.236345
2021-09-22 06:04:48.695431 : Epoch  3, Batch    624, Loss  0.874438, Average Loss  0.871048, Time  0.236234
2021-09-22 06:04:51.335265 : Epoch  3, Batch    625, Loss  0.873368, Average Loss  0.870957, Time  0.236504
2021-09-22 06:04:53.977087 : Epoch  3, Batch    626, Loss  0.837223, Average Loss  0.870662, Time  0.236498
2021-09-22 06:04:56.614690 : Epoch  3, Batch    627, Loss  0.882646, Average Loss  0.870699, Time  0.236364
2021-09-22 06:04:59.260365 : Epoch  3, Batch    628, Loss  0.881124, Average Loss  0.870723, Time  0.235900
2021-09-22 06:05:01.915376 : Epoch  3, Batch    629, Loss  0.877844, Average Loss  0.870740, Time  0.235653
2021-09-22 06:05:04.561386 : Epoch  3, Batch    630, Loss  0.882869, Average Loss  0.870758, Time  0.235602
2021-09-22 06:05:07.207416 : Epoch  3, Batch    631, Loss  0.858965, Average Loss  0.870705, Time  0.235845
2021-09-22 06:05:09.856700 : Epoch  3, Batch    632, Loss  0.868300, Average Loss  0.870685, Time  0.237242
2021-09-22 06:05:12.501643 : Epoch  3, Batch    633, Loss  0.856597, Average Loss  0.870629, Time  0.235937
2021-09-22 06:05:15.177786 : Epoch  3, Batch    634, Loss  0.882397, Average Loss  0.870674, Time  0.236178
2021-09-22 06:05:17.828234 : Epoch  3, Batch    635, Loss  0.857339, Average Loss  0.870631, Time  0.236041
2021-09-22 06:05:20.474136 : Epoch  3, Batch    636, Loss  0.870161, Average Loss  0.870660, Time  0.236403
2021-09-22 06:05:23.131004 : Epoch  3, Batch    637, Loss  0.853074, Average Loss  0.870443, Time  0.236330
2021-09-22 06:05:25.774002 : Epoch  3, Batch    638, Loss  0.860936, Average Loss  0.870427, Time  0.237530
2021-09-22 06:05:28.431441 : Epoch  3, Batch    639, Loss  0.869058, Average Loss  0.870376, Time  0.237516
2021-09-22 06:05:31.097602 : Epoch  3, Batch    640, Loss  0.839440, Average Loss  0.870255, Time  0.237055
2021-09-22 06:05:33.753204 : Epoch  3, Batch    641, Loss  0.859380, Average Loss  0.870161, Time  0.237319
2021-09-22 06:05:36.405712 : Epoch  3, Batch    642, Loss  0.900059, Average Loss  0.870345, Time  0.236673
2021-09-22 06:05:39.063269 : Epoch  3, Batch    643, Loss  0.875744, Average Loss  0.870254, Time  0.237374
2021-09-22 06:05:41.724111 : Epoch  3, Batch    644, Loss  0.856093, Average Loss  0.870137, Time  0.238347
2021-09-22 06:05:44.381550 : Epoch  3, Batch    645, Loss  0.894351, Average Loss  0.870228, Time  0.236430
2021-09-22 06:05:47.047425 : Epoch  3, Batch    646, Loss  0.875961, Average Loss  0.870191, Time  0.237104
2021-09-22 06:05:49.701408 : Epoch  3, Batch    647, Loss  0.874651, Average Loss  0.870112, Time  0.235982
2021-09-22 06:05:52.350873 : Epoch  3, Batch    648, Loss  0.871880, Average Loss  0.870166, Time  0.236844
2021-09-22 06:05:54.995389 : Epoch  3, Batch    649, Loss  0.866230, Average Loss  0.870017, Time  0.236219
2021-09-22 06:05:57.633868 : Epoch  3, Batch    650, Loss  0.871435, Average Loss  0.870092, Time  0.236402
2021-09-22 06:06:00.274908 : Epoch  3, Batch    651, Loss  0.863838, Average Loss  0.870010, Time  0.237759
2021-09-22 06:06:02.928876 : Epoch  3, Batch    652, Loss  0.848601, Average Loss  0.870016, Time  0.237109
2021-09-22 06:06:05.621024 : Epoch  3, Batch    653, Loss  0.874418, Average Loss  0.869991, Time  0.236672
2021-09-22 06:06:08.285400 : Epoch  3, Batch    654, Loss  0.867534, Average Loss  0.870020, Time  0.236349
2021-09-22 06:06:10.946879 : Epoch  3, Batch    655, Loss  0.858481, Average Loss  0.869961, Time  0.237179
2021-09-22 06:06:13.616444 : Epoch  3, Batch    656, Loss  0.870569, Average Loss  0.869907, Time  0.236543
2021-09-22 06:06:16.295865 : Epoch  3, Batch    657, Loss  0.864156, Average Loss  0.869868, Time  0.236642
2021-09-22 06:06:18.959957 : Epoch  3, Batch    658, Loss  0.839250, Average Loss  0.869616, Time  0.236398
2021-09-22 06:06:21.618872 : Epoch  3, Batch    659, Loss  0.874676, Average Loss  0.869693, Time  0.236922
2021-09-22 06:06:24.265886 : Epoch  3, Batch    660, Loss  0.882115, Average Loss  0.869726, Time  0.236219
2021-09-22 06:06:26.917148 : Epoch  3, Batch    661, Loss  0.870722, Average Loss  0.869849, Time  0.236182
2021-09-22 06:06:29.561091 : Epoch  3, Batch    662, Loss  0.843233, Average Loss  0.869737, Time  0.237049
2021-09-22 06:06:32.219230 : Epoch  3, Batch    663, Loss  0.878793, Average Loss  0.869758, Time  0.236305
2021-09-22 06:06:34.868154 : Epoch  3, Batch    664, Loss  0.877362, Average Loss  0.869828, Time  0.237408
2021-09-22 06:06:37.575446 : Epoch  3, Batch    665, Loss  0.880616, Average Loss  0.869946, Time  0.236888
2021-09-22 06:06:40.220677 : Epoch  3, Batch    666, Loss  0.861647, Average Loss  0.869932, Time  0.236722
2021-09-22 06:06:42.877036 : Epoch  3, Batch    667, Loss  0.880325, Average Loss  0.870059, Time  0.236884
2021-09-22 06:06:45.524936 : Epoch  3, Batch    668, Loss  0.888887, Average Loss  0.870185, Time  0.237379
2021-09-22 06:06:48.184952 : Epoch  3, Batch    669, Loss  0.862993, Average Loss  0.870131, Time  0.238120
2021-09-22 06:06:50.881420 : Epoch  3, Batch    670, Loss  0.854960, Average Loss  0.870012, Time  0.236352
2021-09-22 06:06:53.523839 : Epoch  3, Batch    671, Loss  0.878474, Average Loss  0.870077, Time  0.236406
2021-09-22 06:06:56.178915 : Epoch  3, Batch    672, Loss  0.868220, Average Loss  0.870231, Time  0.237419
2021-09-22 06:06:58.830833 : Epoch  3, Batch    673, Loss  0.847558, Average Loss  0.870059, Time  0.236284
2021-09-22 06:07:01.475242 : Epoch  3, Batch    674, Loss  0.878712, Average Loss  0.870141, Time  0.236078
2021-09-22 06:07:04.143835 : Epoch  3, Batch    675, Loss  0.863498, Average Loss  0.870166, Time  0.237228
2021-09-22 06:07:06.781819 : Epoch  3, Batch    676, Loss  0.865193, Average Loss  0.870237, Time  0.236502
2021-09-22 06:07:09.428617 : Epoch  3, Batch    677, Loss  0.872816, Average Loss  0.870285, Time  0.236245
2021-09-22 06:07:12.068672 : Epoch  3, Batch    678, Loss  0.874082, Average Loss  0.870318, Time  0.236377
2021-09-22 06:07:14.725258 : Epoch  3, Batch    679, Loss  0.880998, Average Loss  0.870385, Time  0.236200
2021-09-22 06:07:17.424553 : Epoch  3, Batch    680, Loss  0.864433, Average Loss  0.870319, Time  0.237114
2021-09-22 06:07:20.077000 : Epoch  3, Batch    681, Loss  0.877486, Average Loss  0.870406, Time  0.237009
2021-09-22 06:07:22.738088 : Epoch  3, Batch    682, Loss  0.870268, Average Loss  0.870374, Time  0.236567
2021-09-22 06:07:25.391425 : Epoch  3, Batch    683, Loss  0.865898, Average Loss  0.870299, Time  0.236382
2021-09-22 06:07:28.049881 : Epoch  3, Batch    684, Loss  0.872210, Average Loss  0.870334, Time  0.237781
2021-09-22 06:07:30.690180 : Epoch  3, Batch    685, Loss  0.852051, Average Loss  0.870214, Time  0.236019
2021-09-22 06:07:33.335074 : Epoch  3, Batch    686, Loss  0.872407, Average Loss  0.870238, Time  0.237609
2021-09-22 06:07:35.981423 : Epoch  3, Batch    687, Loss  0.865366, Average Loss  0.870214, Time  0.236608
2021-09-22 06:07:38.637870 : Epoch  3, Batch    688, Loss  0.856677, Average Loss  0.870123, Time  0.237018
2021-09-22 06:11:48.446740 : CheckPoint: Validation Loss  0.00030214, Best Loss  0.00029452
2021-09-22 06:11:51.113099 : Epoch  3, Batch    689, Loss  0.886181, Average Loss  0.870202, Time  0.252076
2021-09-22 06:11:53.778168 : Epoch  3, Batch    690, Loss  0.881823, Average Loss  0.870338, Time  0.241439
2021-09-22 06:11:56.430305 : Epoch  3, Batch    691, Loss  0.858730, Average Loss  0.870288, Time  0.236053
2021-09-22 06:11:59.089911 : Epoch  3, Batch    692, Loss  0.894050, Average Loss  0.870480, Time  0.236161
2021-09-22 06:12:01.749364 : Epoch  3, Batch    693, Loss  0.878178, Average Loss  0.870447, Time  0.236556
2021-09-22 06:12:04.411608 : Epoch  3, Batch    694, Loss  0.885049, Average Loss  0.870449, Time  0.236375
2021-09-22 06:12:07.068092 : Epoch  3, Batch    695, Loss  0.866898, Average Loss  0.870507, Time  0.236887
2021-09-22 06:12:09.723072 : Epoch  3, Batch    696, Loss  0.867469, Average Loss  0.870560, Time  0.236850
2021-09-22 06:12:12.381991 : Epoch  3, Batch    697, Loss  0.852566, Average Loss  0.870471, Time  0.237273
2021-09-22 06:12:15.039215 : Epoch  3, Batch    698, Loss  0.879489, Average Loss  0.870478, Time  0.237144
2021-09-22 06:12:17.703886 : Epoch  3, Batch    699, Loss  0.879795, Average Loss  0.870494, Time  0.237087
2021-09-22 06:12:20.352167 : Epoch  3, Batch    700, Loss  0.855055, Average Loss  0.870362, Time  0.236715
2021-09-22 06:12:23.011993 : Epoch  3, Batch    701, Loss  0.867886, Average Loss  0.870353, Time  0.236629
2021-09-22 06:12:25.682677 : Epoch  3, Batch    702, Loss  0.872454, Average Loss  0.870330, Time  0.236348
2021-09-22 06:12:28.338385 : Epoch  3, Batch    703, Loss  0.874358, Average Loss  0.870313, Time  0.236113
2021-09-22 06:12:30.992848 : Epoch  3, Batch    704, Loss  0.859115, Average Loss  0.870341, Time  0.236383
2021-09-22 06:12:33.655746 : Epoch  3, Batch    705, Loss  0.867532, Average Loss  0.870448, Time  0.235968
2021-09-22 06:12:36.308015 : Epoch  3, Batch    706, Loss  0.859126, Average Loss  0.870309, Time  0.236353
2021-09-22 06:12:38.953874 : Epoch  3, Batch    707, Loss  0.860293, Average Loss  0.870285, Time  0.236060
2021-09-22 06:12:41.635020 : Epoch  3, Batch    708, Loss  0.862791, Average Loss  0.870353, Time  0.236436
2021-09-22 06:12:44.287392 : Epoch  3, Batch    709, Loss  0.869717, Average Loss  0.870333, Time  0.235496
2021-09-22 06:12:46.940443 : Epoch  3, Batch    710, Loss  0.857973, Average Loss  0.870241, Time  0.236398
2021-09-22 06:12:49.584692 : Epoch  3, Batch    711, Loss  0.862897, Average Loss  0.870206, Time  0.236277
2021-09-22 06:12:52.237254 : Epoch  3, Batch    712, Loss  0.878707, Average Loss  0.870244, Time  0.236651
2021-09-22 06:12:54.883171 : Epoch  3, Batch    713, Loss  0.897457, Average Loss  0.870381, Time  0.235869
2021-09-22 06:12:57.533839 : Epoch  3, Batch    714, Loss  0.871562, Average Loss  0.870292, Time  0.236681
2021-09-22 06:13:00.192923 : Epoch  3, Batch    715, Loss  0.858476, Average Loss  0.870229, Time  0.236538
2021-09-22 06:13:02.874143 : Epoch  3, Batch    716, Loss  0.860921, Average Loss  0.870184, Time  0.236447
2021-09-22 06:13:05.526032 : Epoch  3, Batch    717, Loss  0.875180, Average Loss  0.870278, Time  0.236089
2021-09-22 06:13:08.212923 : Epoch  3, Batch    718, Loss  0.870449, Average Loss  0.870124, Time  0.239308
2021-09-22 06:13:10.882259 : Epoch  3, Batch    719, Loss  0.884054, Average Loss  0.870207, Time  0.237049
2021-09-22 06:13:13.528836 : Epoch  3, Batch    720, Loss  0.857486, Average Loss  0.870129, Time  0.237613
2021-09-22 06:13:16.215474 : Epoch  3, Batch    721, Loss  0.853070, Average Loss  0.869970, Time  0.237813
2021-09-22 06:13:18.890765 : Epoch  3, Batch    722, Loss  0.864610, Average Loss  0.869887, Time  0.236955
2021-09-22 06:13:21.549515 : Epoch  3, Batch    723, Loss  0.873818, Average Loss  0.869833, Time  0.238892
2021-09-22 06:13:24.201886 : Epoch  3, Batch    724, Loss  0.888598, Average Loss  0.869923, Time  0.236439
2021-09-22 06:13:26.850829 : Epoch  3, Batch    725, Loss  0.869692, Average Loss  0.869943, Time  0.237896
2021-09-22 06:13:29.547211 : Epoch  3, Batch    726, Loss  0.888346, Average Loss  0.869923, Time  0.238987
2021-09-22 06:13:32.232809 : Epoch  3, Batch    727, Loss  0.872449, Average Loss  0.869894, Time  0.236317
2021-09-22 06:13:34.930405 : Epoch  3, Batch    728, Loss  0.853499, Average Loss  0.869713, Time  0.254983
2021-09-22 06:13:37.601422 : Epoch  3, Batch    729, Loss  0.838909, Average Loss  0.869564, Time  0.238599
2021-09-22 06:13:40.265973 : Epoch  3, Batch    730, Loss  0.896985, Average Loss  0.869826, Time  0.236450
2021-09-22 06:13:42.932920 : Epoch  3, Batch    731, Loss  0.848177, Average Loss  0.869759, Time  0.237330
2021-09-22 06:13:45.603861 : Epoch  3, Batch    732, Loss  0.870783, Average Loss  0.869817, Time  0.237578
2021-09-22 06:13:48.296889 : Epoch  3, Batch    733, Loss  0.849121, Average Loss  0.869623, Time  0.238088
2021-09-22 06:13:50.949991 : Epoch  3, Batch    734, Loss  0.855926, Average Loss  0.869498, Time  0.237091
2021-09-22 06:13:53.612095 : Epoch  3, Batch    735, Loss  0.855287, Average Loss  0.869391, Time  0.236361
2021-09-22 06:13:56.296901 : Epoch  3, Batch    736, Loss  0.886017, Average Loss  0.869562, Time  0.237680
2021-09-22 06:13:58.959107 : Epoch  3, Batch    737, Loss  0.883355, Average Loss  0.869701, Time  0.238418
2021-09-22 06:14:01.624122 : Epoch  3, Batch    738, Loss  0.858793, Average Loss  0.869788, Time  0.237433
2021-09-22 06:14:04.286794 : Epoch  3, Batch    739, Loss  0.882980, Average Loss  0.869803, Time  0.237260
2021-09-22 06:14:06.957868 : Epoch  3, Batch    740, Loss  0.858716, Average Loss  0.869741, Time  0.236535
2021-09-22 06:14:09.619824 : Epoch  3, Batch    741, Loss  0.857011, Average Loss  0.869728, Time  0.235950
2021-09-22 06:14:12.288093 : Epoch  3, Batch    742, Loss  0.855415, Average Loss  0.869678, Time  0.237500
2021-09-22 06:14:14.955324 : Epoch  3, Batch    743, Loss  0.887797, Average Loss  0.869794, Time  0.237632
2021-09-22 06:14:17.635957 : Epoch  3, Batch    744, Loss  0.875762, Average Loss  0.869872, Time  0.236671
2021-09-22 06:14:20.298837 : Epoch  3, Batch    745, Loss  0.869138, Average Loss  0.869824, Time  0.236570
2021-09-22 06:14:22.958939 : Epoch  3, Batch    746, Loss  0.877980, Average Loss  0.869850, Time  0.237904
2021-09-22 06:14:25.618140 : Epoch  3, Batch    747, Loss  0.878582, Average Loss  0.869922, Time  0.236711
2021-09-22 06:14:28.264195 : Epoch  3, Batch    748, Loss  0.891830, Average Loss  0.869980, Time  0.236635
2021-09-22 06:14:30.930955 : Epoch  3, Batch    749, Loss  0.869235, Average Loss  0.870005, Time  0.238060
2021-09-22 06:14:33.597136 : Epoch  3, Batch    750, Loss  0.868952, Average Loss  0.870007, Time  0.238009
2021-09-22 06:14:36.275889 : Epoch  3, Batch    751, Loss  0.886010, Average Loss  0.870089, Time  0.237677
2021-09-22 06:14:38.936488 : Epoch  3, Batch    752, Loss  0.869566, Average Loss  0.870016, Time  0.236616
2021-09-22 06:14:41.610202 : Epoch  3, Batch    753, Loss  0.877339, Average Loss  0.870010, Time  0.236564
2021-09-22 06:14:44.262212 : Epoch  3, Batch    754, Loss  0.880151, Average Loss  0.870079, Time  0.237157
2021-09-22 06:14:46.949484 : Epoch  3, Batch    755, Loss  0.876910, Average Loss  0.870035, Time  0.236051
2021-09-22 06:14:49.609062 : Epoch  3, Batch    756, Loss  0.855487, Average Loss  0.869970, Time  0.236047
2021-09-22 06:14:52.288824 : Epoch  3, Batch    757, Loss  0.864492, Average Loss  0.869893, Time  0.237875
2021-09-22 06:14:54.948547 : Epoch  3, Batch    758, Loss  0.862873, Average Loss  0.869890, Time  0.237529
2021-09-22 06:14:57.602882 : Epoch  3, Batch    759, Loss  0.879497, Average Loss  0.870006, Time  0.236706
2021-09-22 06:15:00.262252 : Epoch  3, Batch    760, Loss  0.862573, Average Loss  0.869894, Time  0.237765
2021-09-22 06:15:02.918495 : Epoch  3, Batch    761, Loss  0.885810, Average Loss  0.869940, Time  0.236981
2021-09-22 06:15:05.583872 : Epoch  3, Batch    762, Loss  0.873069, Average Loss  0.869892, Time  0.235953
2021-09-22 06:15:08.259629 : Epoch  3, Batch    763, Loss  0.868863, Average Loss  0.869924, Time  0.236088
2021-09-22 06:15:10.965433 : Epoch  3, Batch    764, Loss  0.877865, Average Loss  0.870006, Time  0.240744
2021-09-22 06:15:13.631267 : Epoch  3, Batch    765, Loss  0.879495, Average Loss  0.869960, Time  0.236809
2021-09-22 06:15:16.283992 : Epoch  3, Batch    766, Loss  0.885835, Average Loss  0.870241, Time  0.236667
2021-09-22 06:15:18.950088 : Epoch  3, Batch    767, Loss  0.868141, Average Loss  0.870127, Time  0.237142
2021-09-22 06:15:21.623009 : Epoch  3, Batch    768, Loss  0.861568, Average Loss  0.870076, Time  0.237777
2021-09-22 06:15:24.297006 : Epoch  3, Batch    769, Loss  0.877780, Average Loss  0.869971, Time  0.237218
2021-09-22 06:15:26.997154 : Epoch  3, Batch    770, Loss  0.854609, Average Loss  0.869845, Time  0.236238
2021-09-22 06:15:29.659992 : Epoch  3, Batch    771, Loss  0.900987, Average Loss  0.870064, Time  0.236903
2021-09-22 06:15:32.330728 : Epoch  3, Batch    772, Loss  0.875973, Average Loss  0.870058, Time  0.236714
2021-09-22 06:15:34.991706 : Epoch  3, Batch    773, Loss  0.865247, Average Loss  0.869934, Time  0.237019
2021-09-22 06:15:37.663668 : Epoch  3, Batch    774, Loss  0.879540, Average Loss  0.869965, Time  0.236921
2021-09-22 06:15:40.313558 : Epoch  3, Batch    775, Loss  0.884770, Average Loss  0.870140, Time  0.236734
2021-09-22 06:15:42.955005 : Epoch  3, Batch    776, Loss  0.887870, Average Loss  0.870290, Time  0.236916
2021-09-22 06:15:45.612943 : Epoch  3, Batch    777, Loss  0.870587, Average Loss  0.870286, Time  0.237516
2021-09-22 06:15:48.291974 : Epoch  3, Batch    778, Loss  0.869800, Average Loss  0.870167, Time  0.238174
2021-09-22 06:15:50.968892 : Epoch  3, Batch    779, Loss  0.875936, Average Loss  0.870214, Time  0.237558
2021-09-22 06:15:53.623492 : Epoch  3, Batch    780, Loss  0.852171, Average Loss  0.870174, Time  0.237123
2021-09-22 06:15:56.289418 : Epoch  3, Batch    781, Loss  0.880239, Average Loss  0.870297, Time  0.236763
2021-09-22 06:15:58.950441 : Epoch  3, Batch    782, Loss  0.887558, Average Loss  0.870399, Time  0.236400
2021-09-22 06:16:01.616429 : Epoch  3, Batch    783, Loss  0.872842, Average Loss  0.870403, Time  0.235773
2021-09-22 06:16:04.284402 : Epoch  3, Batch    784, Loss  0.842893, Average Loss  0.870328, Time  0.236030
2021-09-22 06:16:06.938373 : Epoch  3, Batch    785, Loss  0.886921, Average Loss  0.870392, Time  0.235968
2021-09-22 06:16:09.586394 : Epoch  3, Batch    786, Loss  0.881916, Average Loss  0.870392, Time  0.236331
2021-09-22 06:16:12.242909 : Epoch  3, Batch    787, Loss  0.849902, Average Loss  0.870232, Time  0.236564
2021-09-22 06:16:14.904934 : Epoch  3, Batch    788, Loss  0.850325, Average Loss  0.870047, Time  0.237082
2021-09-22 06:20:25.701913 : CheckPoint: Validation Loss  0.00029853, Best Loss  0.00029452
2021-09-22 06:20:28.376902 : Epoch  3, Batch    789, Loss  0.856200, Average Loss  0.869851, Time  0.250243
2021-09-22 06:20:31.030265 : Epoch  3, Batch    790, Loss  0.842134, Average Loss  0.869752, Time  0.236659
2021-09-22 06:20:33.689007 : Epoch  3, Batch    791, Loss  0.884585, Average Loss  0.869818, Time  0.236613
2021-09-22 06:20:36.351398 : Epoch  3, Batch    792, Loss  0.884737, Average Loss  0.869901, Time  0.235769
2021-09-22 06:20:39.006629 : Epoch  3, Batch    793, Loss  0.880355, Average Loss  0.869937, Time  0.236655
2021-09-22 06:20:41.680410 : Epoch  3, Batch    794, Loss  0.862702, Average Loss  0.869889, Time  0.235760
2021-09-22 06:20:44.336026 : Epoch  3, Batch    795, Loss  0.891814, Average Loss  0.869887, Time  0.236362
2021-09-22 06:20:46.992127 : Epoch  3, Batch    796, Loss  0.855376, Average Loss  0.869724, Time  0.237302
2021-09-22 06:20:49.651928 : Epoch  3, Batch    797, Loss  0.865159, Average Loss  0.869719, Time  0.236778
2021-09-22 06:20:52.302081 : Epoch  3, Batch    798, Loss  0.856475, Average Loss  0.869610, Time  0.236829
2021-09-22 06:20:54.957229 : Epoch  3, Batch    799, Loss  0.866798, Average Loss  0.869551, Time  0.237002
2021-09-22 06:20:57.615023 : Epoch  3, Batch    800, Loss  0.859541, Average Loss  0.869489, Time  0.236829
2021-09-22 06:21:00.264034 : Epoch  3, Batch    801, Loss  0.891686, Average Loss  0.869579, Time  0.236692
2021-09-22 06:21:02.909416 : Epoch  3, Batch    802, Loss  0.878310, Average Loss  0.869619, Time  0.236565
2021-09-22 06:21:05.556272 : Epoch  3, Batch    803, Loss  0.879828, Average Loss  0.869773, Time  0.236479
2021-09-22 06:21:08.251111 : Epoch  3, Batch    804, Loss  0.856220, Average Loss  0.869738, Time  0.236481
2021-09-22 06:21:10.904916 : Epoch  3, Batch    805, Loss  0.861607, Average Loss  0.869693, Time  0.235999
2021-09-22 06:21:13.578478 : Epoch  3, Batch    806, Loss  0.875124, Average Loss  0.869847, Time  0.236988
2021-09-22 06:21:16.234795 : Epoch  3, Batch    807, Loss  0.874369, Average Loss  0.869980, Time  0.236904
2021-09-22 06:21:18.891924 : Epoch  3, Batch    808, Loss  0.882115, Average Loss  0.870082, Time  0.235817
2021-09-22 06:21:21.801775 : Epoch  3, Batch    809, Loss  0.863385, Average Loss  0.869887, Time  0.253912
2021-09-22 06:21:24.449416 : Epoch  3, Batch    810, Loss  0.874127, Average Loss  0.869819, Time  0.237505
2021-09-22 06:21:27.100877 : Epoch  3, Batch    811, Loss  0.889505, Average Loss  0.869960, Time  0.236601
2021-09-22 06:21:29.759673 : Epoch  3, Batch    812, Loss  0.882996, Average Loss  0.870092, Time  0.235911
2021-09-22 06:21:32.404721 : Epoch  3, Batch    813, Loss  0.878295, Average Loss  0.870135, Time  0.235659
2021-09-22 06:21:35.066406 : Epoch  3, Batch    814, Loss  0.887596, Average Loss  0.870158, Time  0.236905
2021-09-22 06:21:37.726990 : Epoch  3, Batch    815, Loss  0.877967, Average Loss  0.870210, Time  0.236498
2021-09-22 06:21:40.377400 : Epoch  3, Batch    816, Loss  0.877823, Average Loss  0.870256, Time  0.236803
2021-09-22 06:21:43.028916 : Epoch  3, Batch    817, Loss  0.882376, Average Loss  0.870411, Time  0.236501
2021-09-22 06:21:45.687021 : Epoch  3, Batch    818, Loss  0.879157, Average Loss  0.870505, Time  0.237364
2021-09-22 06:21:48.345272 : Epoch  3, Batch    819, Loss  0.879809, Average Loss  0.870492, Time  0.236839
2021-09-22 06:21:50.988884 : Epoch  3, Batch    820, Loss  0.879677, Average Loss  0.870545, Time  0.237147
2021-09-22 06:21:53.642499 : Epoch  3, Batch    821, Loss  0.875532, Average Loss  0.870516, Time  0.238029
2021-09-22 06:21:56.290924 : Epoch  3, Batch    822, Loss  0.869014, Average Loss  0.870449, Time  0.236880
2021-09-22 06:21:58.941979 : Epoch  3, Batch    823, Loss  0.866996, Average Loss  0.870542, Time  0.237162
2021-09-22 06:22:01.586867 : Epoch  3, Batch    824, Loss  0.882683, Average Loss  0.870583, Time  0.237438
2021-09-22 06:22:04.245420 : Epoch  3, Batch    825, Loss  0.849625, Average Loss  0.870465, Time  0.236637
2021-09-22 06:22:06.902944 : Epoch  3, Batch    826, Loss  0.870063, Average Loss  0.870629, Time  0.241126
2021-09-22 06:22:09.558989 : Epoch  3, Batch    827, Loss  0.853904, Average Loss  0.870485, Time  0.235784
2021-09-22 06:22:12.229401 : Epoch  3, Batch    828, Loss  0.863270, Average Loss  0.870396, Time  0.235626
2021-09-22 06:22:14.869505 : Epoch  3, Batch    829, Loss  0.868812, Average Loss  0.870351, Time  0.235885
2021-09-22 06:22:17.517001 : Epoch  3, Batch    830, Loss  0.856825, Average Loss  0.870221, Time  0.235761
2021-09-22 06:22:20.149950 : Epoch  3, Batch    831, Loss  0.893985, Average Loss  0.870396, Time  0.236186
2021-09-22 06:22:22.794195 : Epoch  3, Batch    832, Loss  0.872548, Average Loss  0.870417, Time  0.236381
2021-09-22 06:22:25.438060 : Epoch  3, Batch    833, Loss  0.857518, Average Loss  0.870422, Time  0.236036
2021-09-22 06:22:28.091826 : Epoch  3, Batch    834, Loss  0.870794, Average Loss  0.870363, Time  0.236559
2021-09-22 06:22:30.739857 : Epoch  3, Batch    835, Loss  0.880697, Average Loss  0.870480, Time  0.235592
2021-09-22 06:22:33.376151 : Epoch  3, Batch    836, Loss  0.864990, Average Loss  0.870454, Time  0.236739
2021-09-22 06:22:36.004320 : Epoch  3, Batch    837, Loss  0.855659, Average Loss  0.870467, Time  0.235433
2021-09-22 06:22:38.662405 : Epoch  3, Batch    838, Loss  0.882482, Average Loss  0.870575, Time  0.236573
2021-09-22 06:22:41.299807 : Epoch  3, Batch    839, Loss  0.874861, Average Loss  0.870604, Time  0.237350
2021-09-22 06:22:43.938670 : Epoch  3, Batch    840, Loss  0.856838, Average Loss  0.870691, Time  0.235932
2021-09-22 06:22:46.583456 : Epoch  3, Batch    841, Loss  0.864177, Average Loss  0.870715, Time  0.237532
2021-09-22 06:22:49.264218 : Epoch  3, Batch    842, Loss  0.880323, Average Loss  0.870616, Time  0.237141
2021-09-22 06:22:51.942806 : Epoch  3, Batch    843, Loss  0.876123, Average Loss  0.870618, Time  0.237612
2021-09-22 06:22:54.603080 : Epoch  3, Batch    844, Loss  0.864892, Average Loss  0.870662, Time  0.236361
2021-09-22 06:22:57.276453 : Epoch  3, Batch    845, Loss  0.853812, Average Loss  0.870460, Time  0.236939
2021-09-22 06:22:59.942473 : Epoch  3, Batch    846, Loss  0.872377, Average Loss  0.870442, Time  0.236687
2021-09-22 06:23:02.597253 : Epoch  3, Batch    847, Loss  0.889774, Average Loss  0.870517, Time  0.236881
2021-09-22 06:23:05.258439 : Epoch  3, Batch    848, Loss  0.872381, Average Loss  0.870520, Time  0.236370
2021-09-22 06:23:07.910071 : Epoch  3, Batch    849, Loss  0.865534, Average Loss  0.870516, Time  0.237056
2021-09-22 06:23:10.590139 : Epoch  3, Batch    850, Loss  0.854694, Average Loss  0.870433, Time  0.236515
2021-09-22 06:23:13.251950 : Epoch  3, Batch    851, Loss  0.867908, Average Loss  0.870453, Time  0.236218
2021-09-22 06:23:15.916405 : Epoch  3, Batch    852, Loss  0.880470, Average Loss  0.870612, Time  0.236353
2021-09-22 06:23:18.579880 : Epoch  3, Batch    853, Loss  0.847418, Average Loss  0.870477, Time  0.237390
2021-09-22 06:23:21.235403 : Epoch  3, Batch    854, Loss  0.867165, Average Loss  0.870475, Time  0.236563
2021-09-22 06:23:23.886699 : Epoch  3, Batch    855, Loss  0.884434, Average Loss  0.870605, Time  0.236257
2021-09-22 06:23:26.538905 : Epoch  3, Batch    856, Loss  0.868300, Average Loss  0.870594, Time  0.235970
2021-09-22 06:23:29.201875 : Epoch  3, Batch    857, Loss  0.846448, Average Loss  0.870505, Time  0.236980
2021-09-22 06:23:31.871993 : Epoch  3, Batch    858, Loss  0.863376, Average Loss  0.870626, Time  0.236702
2021-09-22 06:23:34.529213 : Epoch  3, Batch    859, Loss  0.862934, Average Loss  0.870567, Time  0.236578
2021-09-22 06:23:37.282806 : Epoch  3, Batch    860, Loss  0.859410, Average Loss  0.870454, Time  0.236808
2021-09-22 06:23:39.950821 : Epoch  3, Batch    861, Loss  0.864188, Average Loss  0.870421, Time  0.237100
2021-09-22 06:23:42.603105 : Epoch  3, Batch    862, Loss  0.871319, Average Loss  0.870561, Time  0.236080
2021-09-22 06:23:45.263229 : Epoch  3, Batch    863, Loss  0.857128, Average Loss  0.870453, Time  0.236659
2021-09-22 06:23:47.915592 : Epoch  3, Batch    864, Loss  0.877981, Average Loss  0.870456, Time  0.237162
2021-09-22 06:23:50.581502 : Epoch  3, Batch    865, Loss  0.841509, Average Loss  0.870261, Time  0.236369
2021-09-22 06:23:53.238795 : Epoch  3, Batch    866, Loss  0.856735, Average Loss  0.870236, Time  0.236448
2021-09-22 06:23:55.898458 : Epoch  3, Batch    867, Loss  0.866550, Average Loss  0.870167, Time  0.236837
2021-09-22 06:23:58.552933 : Epoch  3, Batch    868, Loss  0.859915, Average Loss  0.870022, Time  0.236779
2021-09-22 06:24:01.218202 : Epoch  3, Batch    869, Loss  0.881334, Average Loss  0.870114, Time  0.236776
2021-09-22 06:24:03.930726 : Epoch  3, Batch    870, Loss  0.881299, Average Loss  0.870246, Time  0.235935
2021-09-22 06:24:06.682807 : Epoch  3, Batch    871, Loss  0.866894, Average Loss  0.870188, Time  0.236251
2021-09-22 06:24:09.345426 : Epoch  3, Batch    872, Loss  0.867739, Average Loss  0.870186, Time  0.236587
2021-09-22 06:24:11.996532 : Epoch  3, Batch    873, Loss  0.884047, Average Loss  0.870368, Time  0.236305
2021-09-22 06:24:14.729404 : Epoch  3, Batch    874, Loss  0.857011, Average Loss  0.870259, Time  0.240129
2021-09-22 06:24:17.380950 : Epoch  3, Batch    875, Loss  0.870672, Average Loss  0.870295, Time  0.236261
2021-09-22 06:24:20.039175 : Epoch  3, Batch    876, Loss  0.882398, Average Loss  0.870381, Time  0.237036
2021-09-22 06:24:22.707265 : Epoch  3, Batch    877, Loss  0.891558, Average Loss  0.870475, Time  0.236676
2021-09-22 06:24:25.394275 : Epoch  3, Batch    878, Loss  0.870951, Average Loss  0.870459, Time  0.236919
2021-09-22 06:24:28.060836 : Epoch  3, Batch    879, Loss  0.871601, Average Loss  0.870412, Time  0.236800
2021-09-22 06:24:30.718534 : Epoch  3, Batch    880, Loss  0.882253, Average Loss  0.870502, Time  0.236505
2021-09-22 06:24:33.379322 : Epoch  3, Batch    881, Loss  0.868694, Average Loss  0.870458, Time  0.236062
2021-09-22 06:24:36.042419 : Epoch  3, Batch    882, Loss  0.881227, Average Loss  0.870512, Time  0.236293
2021-09-22 06:24:38.706715 : Epoch  3, Batch    883, Loss  0.874056, Average Loss  0.870553, Time  0.236077
2021-09-22 06:24:41.377008 : Epoch  3, Batch    884, Loss  0.878923, Average Loss  0.870587, Time  0.237536
2021-09-22 06:24:44.046393 : Epoch  3, Batch    885, Loss  0.863206, Average Loss  0.870642, Time  0.235884
2021-09-22 06:24:46.706226 : Epoch  3, Batch    886, Loss  0.883243, Average Loss  0.870697, Time  0.237108
2021-09-22 06:24:49.357152 : Epoch  3, Batch    887, Loss  0.868235, Average Loss  0.870711, Time  0.236453
2021-09-22 06:24:52.022322 : Epoch  3, Batch    888, Loss  0.893034, Average Loss  0.870893, Time  0.237053
2021-09-22 06:29:02.816744 : CheckPoint: Validation Loss  0.00030615, Best Loss  0.00029452
2021-09-22 06:29:05.467999 : Epoch  3, Batch    889, Loss  0.893502, Average Loss  0.870929, Time  0.236773
2021-09-22 06:29:08.118229 : Epoch  3, Batch    890, Loss  0.888002, Average Loss  0.870960, Time  0.236245
2021-09-22 06:29:10.758838 : Epoch  3, Batch    891, Loss  0.868480, Average Loss  0.871009, Time  0.236869
2021-09-22 06:29:13.486870 : Epoch  3, Batch    892, Loss  0.882561, Average Loss  0.870952, Time  0.236465
2021-09-22 06:29:16.165381 : Epoch  3, Batch    893, Loss  0.883032, Average Loss  0.870976, Time  0.235471
2021-09-22 06:29:18.830335 : Epoch  3, Batch    894, Loss  0.888051, Average Loss  0.870991, Time  0.237227
2021-09-22 06:29:21.499870 : Epoch  3, Batch    895, Loss  0.868952, Average Loss  0.871001, Time  0.236088
2021-09-22 06:29:24.154057 : Epoch  3, Batch    896, Loss  0.872123, Average Loss  0.871024, Time  0.237791
2021-09-22 06:29:26.813012 : Epoch  3, Batch    897, Loss  0.866464, Average Loss  0.871094, Time  0.235929
2021-09-22 06:29:29.540463 : Epoch  3, Batch    898, Loss  0.861485, Average Loss  0.871004, Time  0.237615
2021-09-22 06:29:32.207917 : Epoch  3, Batch    899, Loss  0.881552, Average Loss  0.871013, Time  0.235674
2021-09-22 06:29:34.868366 : Epoch  3, Batch    900, Loss  0.876186, Average Loss  0.871118, Time  0.237178
2021-09-22 06:29:37.521100 : Epoch  3, Batch    901, Loss  0.867027, Average Loss  0.871114, Time  0.236917
2021-09-22 06:29:40.164352 : Epoch  3, Batch    902, Loss  0.866460, Average Loss  0.871084, Time  0.236679
2021-09-22 06:29:42.819828 : Epoch  3, Batch    903, Loss  0.873111, Average Loss  0.871078, Time  0.236232
2021-09-22 06:29:45.462110 : Epoch  3, Batch    904, Loss  0.869252, Average Loss  0.871128, Time  0.236595
2021-09-22 06:29:48.100533 : Epoch  3, Batch    905, Loss  0.876339, Average Loss  0.871173, Time  0.236111
2021-09-22 06:29:50.741431 : Epoch  3, Batch    906, Loss  0.863919, Average Loss  0.871196, Time  0.237304
2021-09-22 06:29:53.396416 : Epoch  3, Batch    907, Loss  0.876004, Average Loss  0.871275, Time  0.236104
2021-09-22 06:29:56.038086 : Epoch  3, Batch    908, Loss  0.867526, Average Loss  0.871299, Time  0.236409
2021-09-22 06:29:58.686904 : Epoch  3, Batch    909, Loss  0.888180, Average Loss  0.871391, Time  0.235956
2021-09-22 06:30:01.322849 : Epoch  3, Batch    910, Loss  0.861472, Average Loss  0.871409, Time  0.236365
2021-09-22 06:30:03.971553 : Epoch  3, Batch    911, Loss  0.864902, Average Loss  0.871419, Time  0.238435
2021-09-22 06:30:06.623821 : Epoch  3, Batch    912, Loss  0.872633, Average Loss  0.871388, Time  0.236258
2021-09-22 06:30:09.269383 : Epoch  3, Batch    913, Loss  0.882142, Average Loss  0.871312, Time  0.235873
2021-09-22 06:30:11.929018 : Epoch  3, Batch    914, Loss  0.878907, Average Loss  0.871348, Time  0.236537
2021-09-22 06:30:14.578434 : Epoch  3, Batch    915, Loss  0.882078, Average Loss  0.871466, Time  0.236904
2021-09-22 06:30:17.220991 : Epoch  3, Batch    916, Loss  0.866584, Average Loss  0.871495, Time  0.236958
2021-09-22 06:30:19.880401 : Epoch  3, Batch    917, Loss  0.837464, Average Loss  0.871306, Time  0.236359
2021-09-22 06:30:22.529427 : Epoch  3, Batch    918, Loss  0.878109, Average Loss  0.871344, Time  0.237948
2021-09-22 06:30:25.165954 : Epoch  3, Batch    919, Loss  0.851663, Average Loss  0.871182, Time  0.236437
2021-09-22 06:30:27.806479 : Epoch  3, Batch    920, Loss  0.875304, Average Loss  0.871272, Time  0.237107
2021-09-22 06:30:30.451415 : Epoch  3, Batch    921, Loss  0.863428, Average Loss  0.871323, Time  0.236491
2021-09-22 06:30:33.114726 : Epoch  3, Batch    922, Loss  0.876556, Average Loss  0.871383, Time  0.236146
2021-09-22 06:30:35.759236 : Epoch  3, Batch    923, Loss  0.887765, Average Loss  0.871453, Time  0.237433
2021-09-22 06:30:38.406097 : Epoch  3, Batch    924, Loss  0.865423, Average Loss  0.871337, Time  0.236858
2021-09-22 06:30:41.056682 : Epoch  3, Batch    925, Loss  0.870850, Average Loss  0.871343, Time  0.235786
2021-09-22 06:30:43.692200 : Epoch  3, Batch    926, Loss  0.871955, Average Loss  0.871261, Time  0.236330
2021-09-22 06:30:46.332687 : Epoch  3, Batch    927, Loss  0.870684, Average Loss  0.871252, Time  0.236482
2021-09-22 06:30:48.984416 : Epoch  3, Batch    928, Loss  0.888089, Average Loss  0.871425, Time  0.237064
2021-09-22 06:30:51.645005 : Epoch  3, Batch    929, Loss  0.869690, Average Loss  0.871579, Time  0.236085
2021-09-22 06:30:54.287188 : Epoch  3, Batch    930, Loss  0.874482, Average Loss  0.871466, Time  0.237306
2021-09-22 06:30:56.922998 : Epoch  3, Batch    931, Loss  0.896456, Average Loss  0.871708, Time  0.237005
2021-09-22 06:30:59.577495 : Epoch  3, Batch    932, Loss  0.885787, Average Loss  0.871783, Time  0.236076
2021-09-22 06:31:02.232275 : Epoch  3, Batch    933, Loss  0.861860, Average Loss  0.871846, Time  0.236538
2021-09-22 06:31:04.873406 : Epoch  3, Batch    934, Loss  0.880258, Average Loss  0.871968, Time  0.236313
2021-09-22 06:31:07.508862 : Epoch  3, Batch    935, Loss  0.882091, Average Loss  0.872102, Time  0.236305
2021-09-22 06:31:10.154422 : Epoch  3, Batch    936, Loss  0.874902, Average Loss  0.872046, Time  0.237032
2021-09-22 06:31:12.808415 : Epoch  3, Batch    937, Loss  0.886389, Average Loss  0.872062, Time  0.236784
2021-09-22 06:31:15.457419 : Epoch  3, Batch    938, Loss  0.857598, Average Loss  0.872056, Time  0.236589
2021-09-22 06:31:18.118423 : Epoch  3, Batch    939, Loss  0.856510, Average Loss  0.871923, Time  0.236663
2021-09-22 06:31:20.756333 : Epoch  3, Batch    940, Loss  0.886629, Average Loss  0.872063, Time  0.236183
2021-09-22 06:31:23.407403 : Epoch  3, Batch    941, Loss  0.878844, Average Loss  0.872172, Time  0.237467
2021-09-22 06:31:26.054388 : Epoch  3, Batch    942, Loss  0.849402, Average Loss  0.872142, Time  0.236470
2021-09-22 06:31:28.705040 : Epoch  3, Batch    943, Loss  0.890794, Average Loss  0.872157, Time  0.237050
2021-09-22 06:31:31.357654 : Epoch  3, Batch    944, Loss  0.868701, Average Loss  0.872122, Time  0.237569
2021-09-22 06:31:34.010240 : Epoch  3, Batch    945, Loss  0.878293, Average Loss  0.872167, Time  0.236799
2021-09-22 06:31:36.671605 : Epoch  3, Batch    946, Loss  0.868539, Average Loss  0.872120, Time  0.236122
2021-09-22 06:31:39.328594 : Epoch  3, Batch    947, Loss  0.870925, Average Loss  0.872082, Time  0.236919
2021-09-22 06:31:42.041071 : Epoch  3, Batch    948, Loss  0.875975, Average Loss  0.872003, Time  0.236827
2021-09-22 06:31:44.682304 : Epoch  3, Batch    949, Loss  0.867947, Average Loss  0.871996, Time  0.236330
2021-09-22 06:31:47.325860 : Epoch  3, Batch    950, Loss  0.862080, Average Loss  0.871962, Time  0.236099
2021-09-22 06:31:49.967663 : Epoch  3, Batch    951, Loss  0.869146, Average Loss  0.871878, Time  0.236620
2021-09-22 06:31:52.637821 : Epoch  3, Batch    952, Loss  0.862629, Average Loss  0.871843, Time  0.237281
2021-09-22 06:31:55.291253 : Epoch  3, Batch    953, Loss  0.873013, Average Loss  0.871821, Time  0.235952
2021-09-22 06:31:57.950424 : Epoch  3, Batch    954, Loss  0.870845, Average Loss  0.871775, Time  0.235742
2021-09-22 06:32:00.618415 : Epoch  3, Batch    955, Loss  0.874297, Average Loss  0.871762, Time  0.236536
2021-09-22 06:32:03.273231 : Epoch  3, Batch    956, Loss  0.879292, Average Loss  0.871881, Time  0.237583
2021-09-22 06:32:05.924679 : Epoch  3, Batch    957, Loss  0.852809, Average Loss  0.871822, Time  0.236295
2021-09-22 06:32:08.585392 : Epoch  3, Batch    958, Loss  0.878588, Average Loss  0.871901, Time  0.236245
2021-09-22 06:32:11.221668 : Epoch  3, Batch    959, Loss  0.873962, Average Loss  0.871873, Time  0.235641
2021-09-22 06:32:13.870117 : Epoch  3, Batch    960, Loss  0.861911, Average Loss  0.871870, Time  0.236868
2021-09-22 06:32:16.528418 : Epoch  3, Batch    961, Loss  0.884862, Average Loss  0.871865, Time  0.236651
2021-09-22 06:32:19.172992 : Epoch  3, Batch    962, Loss  0.877261, Average Loss  0.871886, Time  0.236317
2021-09-22 06:32:21.830217 : Epoch  3, Batch    963, Loss  0.874080, Average Loss  0.871912, Time  0.236704
2021-09-22 06:32:24.486124 : Epoch  3, Batch    964, Loss  0.874563, Average Loss  0.871896, Time  0.238483
2021-09-22 06:32:27.164055 : Epoch  3, Batch    965, Loss  0.862784, Average Loss  0.871812, Time  0.236648
2021-09-22 06:32:29.831143 : Epoch  3, Batch    966, Loss  0.849218, Average Loss  0.871629, Time  0.237643
2021-09-22 06:32:32.474393 : Epoch  3, Batch    967, Loss  0.851334, Average Loss  0.871545, Time  0.236936
2021-09-22 06:32:35.112101 : Epoch  3, Batch    968, Loss  0.882901, Average Loss  0.871652, Time  0.237024
2021-09-22 06:32:37.768905 : Epoch  3, Batch    969, Loss  0.883309, Average Loss  0.871679, Time  0.237331
2021-09-22 06:32:40.412970 : Epoch  3, Batch    970, Loss  0.858815, Average Loss  0.871700, Time  0.236651
2021-09-22 06:32:43.064630 : Epoch  3, Batch    971, Loss  0.859843, Average Loss  0.871495, Time  0.236625
2021-09-22 06:32:45.693135 : Epoch  3, Batch    972, Loss  0.873575, Average Loss  0.871483, Time  0.236482
2021-09-22 06:32:48.337990 : Epoch  3, Batch    973, Loss  0.857033, Average Loss  0.871441, Time  0.236478
2021-09-22 06:32:50.988990 : Epoch  3, Batch    974, Loss  0.888367, Average Loss  0.871486, Time  0.236689
2021-09-22 06:32:53.642160 : Epoch  3, Batch    975, Loss  0.835191, Average Loss  0.871238, Time  0.237040
2021-09-22 06:32:56.294945 : Epoch  3, Batch    976, Loss  0.871419, Average Loss  0.871155, Time  0.236870
2021-09-22 06:32:58.944221 : Epoch  3, Batch    977, Loss  0.873037, Average Loss  0.871168, Time  0.236474
2021-09-22 06:33:01.588760 : Epoch  3, Batch    978, Loss  0.888654, Average Loss  0.871262, Time  0.236462
2021-09-22 06:33:04.232216 : Epoch  3, Batch    979, Loss  0.877530, Average Loss  0.871270, Time  0.235632
2021-09-22 06:33:06.902011 : Epoch  3, Batch    980, Loss  0.882222, Average Loss  0.871420, Time  0.236813
2021-09-22 06:33:09.548410 : Epoch  3, Batch    981, Loss  0.863219, Average Loss  0.871335, Time  0.236382
2021-09-22 06:33:12.186407 : Epoch  3, Batch    982, Loss  0.870232, Average Loss  0.871248, Time  0.236881
2021-09-22 06:33:14.826857 : Epoch  3, Batch    983, Loss  0.878220, Average Loss  0.871275, Time  0.235669
2021-09-22 06:33:17.456844 : Epoch  3, Batch    984, Loss  0.879326, Average Loss  0.871458, Time  0.236325
2021-09-22 06:33:20.118914 : Epoch  3, Batch    985, Loss  0.870596, Average Loss  0.871376, Time  0.235934
2021-09-22 06:33:22.824442 : Epoch  3, Batch    986, Loss  0.872693, Average Loss  0.871330, Time  0.236838
2021-09-22 06:33:25.465083 : Epoch  3, Batch    987, Loss  0.858400, Average Loss  0.871372, Time  0.237287
2021-09-22 06:33:28.120863 : Epoch  3, Batch    988, Loss  0.879719, Average Loss  0.871519, Time  0.236917
2021-09-22 06:37:37.381743 : CheckPoint: Validation Loss  0.00030588, Best Loss  0.00029452
2021-09-22 06:37:40.018249 : Epoch  3, Batch    989, Loss  0.887781, Average Loss  0.871677, Time  0.236993
2021-09-22 06:37:42.651064 : Epoch  3, Batch    990, Loss  0.866115, Average Loss  0.871797, Time  0.236083
2021-09-22 06:37:45.291041 : Epoch  3, Batch    991, Loss  0.897534, Average Loss  0.871862, Time  0.235539
2021-09-22 06:37:47.943984 : Epoch  3, Batch    992, Loss  0.873546, Average Loss  0.871806, Time  0.236017
2021-09-22 06:37:50.565261 : Epoch  3, Batch    993, Loss  0.855056, Average Loss  0.871679, Time  0.235866
2021-09-22 06:37:53.169857 : Epoch  3, Batch    994, Loss  0.874887, Average Loss  0.871740, Time  0.236184
2021-09-22 06:37:55.784399 : Epoch  3, Batch    995, Loss  0.865484, Average Loss  0.871609, Time  0.235319
2021-09-22 06:37:58.411992 : Epoch  3, Batch    996, Loss  0.877166, Average Loss  0.871718, Time  0.236817
2021-09-22 06:38:01.035909 : Epoch  3, Batch    997, Loss  0.865863, Average Loss  0.871721, Time  0.237017
2021-09-22 06:38:03.659867 : Epoch  3, Batch    998, Loss  0.864889, Average Loss  0.871763, Time  0.236276
2021-09-22 06:38:06.278072 : Epoch  3, Batch    999, Loss  0.894928, Average Loss  0.871904, Time  0.236420
2021-09-22 06:38:08.901014 : Epoch  3, Batch   1000, Loss  0.881665, Average Loss  0.872014, Time  0.236818
2021-09-22 06:38:11.519708 : Epoch  3, Batch   1001, Loss  0.880047, Average Loss  0.871956, Time  0.236635
2021-09-22 06:38:14.147161 : Epoch  3, Batch   1002, Loss  0.866776, Average Loss  0.871899, Time  0.238587
2021-09-22 06:38:16.780329 : Epoch  3, Batch   1003, Loss  0.869758, Average Loss  0.871848, Time  0.236015
2021-09-22 06:38:19.437255 : Epoch  3, Batch   1004, Loss  0.873407, Average Loss  0.871934, Time  0.236035
2021-09-22 06:38:22.061853 : Epoch  3, Batch   1005, Loss  0.878734, Average Loss  0.872020, Time  0.236461
2021-09-22 06:38:24.706905 : Epoch  3, Batch   1006, Loss  0.882557, Average Loss  0.872057, Time  0.236201
2021-09-22 06:38:27.330020 : Epoch  3, Batch   1007, Loss  0.873514, Average Loss  0.872053, Time  0.236326
2021-09-22 06:38:29.963425 : Epoch  3, Batch   1008, Loss  0.880175, Average Loss  0.872043, Time  0.236887
2021-09-22 06:38:32.578166 : Epoch  3, Batch   1009, Loss  0.886419, Average Loss  0.872158, Time  0.236397
2021-09-22 06:38:35.225731 : Epoch  3, Batch   1010, Loss  0.854023, Average Loss  0.872058, Time  0.235916
2021-09-22 06:38:37.868928 : Epoch  3, Batch   1011, Loss  0.879301, Average Loss  0.872007, Time  0.238349
2021-09-22 06:38:40.514052 : Epoch  3, Batch   1012, Loss  0.876123, Average Loss  0.871972, Time  0.236185
2021-09-22 06:38:43.159777 : Epoch  3, Batch   1013, Loss  0.869061, Average Loss  0.871926, Time  0.238186
2021-09-22 06:38:45.796713 : Epoch  3, Batch   1014, Loss  0.871349, Average Loss  0.871845, Time  0.237351
2021-09-22 06:38:48.465404 : Epoch  3, Batch   1015, Loss  0.867823, Average Loss  0.871794, Time  0.236572
2021-09-22 06:38:51.116398 : Epoch  3, Batch   1016, Loss  0.876704, Average Loss  0.871789, Time  0.236191
2021-09-22 06:38:53.769427 : Epoch  3, Batch   1017, Loss  0.867361, Average Loss  0.871713, Time  0.235577
2021-09-22 06:38:56.414314 : Epoch  3, Batch   1018, Loss  0.868823, Average Loss  0.871662, Time  0.236949
2021-09-22 06:38:59.071031 : Epoch  3, Batch   1019, Loss  0.891575, Average Loss  0.871721, Time  0.236798
2021-09-22 06:39:01.722449 : Epoch  3, Batch   1020, Loss  0.883141, Average Loss  0.871738, Time  0.236795
2021-09-22 06:39:04.407884 : Epoch  3, Batch   1021, Loss  0.861626, Average Loss  0.871668, Time  0.236183
2021-09-22 06:39:07.065360 : Epoch  3, Batch   1022, Loss  0.878786, Average Loss  0.871717, Time  0.237621
2021-09-22 06:39:09.713403 : Epoch  3, Batch   1023, Loss  0.851940, Average Loss  0.871642, Time  0.236606
2021-09-22 06:39:12.345734 : Epoch  3, Batch   1024, Loss  0.852126, Average Loss  0.871489, Time  0.237038
2021-09-22 06:39:14.984450 : Epoch  3, Batch   1025, Loss  0.878225, Average Loss  0.871632, Time  0.236016
2021-09-22 06:39:17.636720 : Epoch  3, Batch   1026, Loss  0.853688, Average Loss  0.871550, Time  0.237492
2021-09-22 06:39:20.310837 : Epoch  3, Batch   1027, Loss  0.863563, Average Loss  0.871599, Time  0.236515
2021-09-22 06:39:22.955423 : Epoch  3, Batch   1028, Loss  0.868428, Average Loss  0.871624, Time  0.237492
2021-09-22 06:39:25.596204 : Epoch  3, Batch   1029, Loss  0.869336, Average Loss  0.871627, Time  0.236774
2021-09-22 06:39:28.261002 : Epoch  3, Batch   1030, Loss  0.867384, Average Loss  0.871680, Time  0.236740
2021-09-22 06:39:30.913064 : Epoch  3, Batch   1031, Loss  0.863675, Average Loss  0.871528, Time  0.236489
2021-09-22 06:39:33.567622 : Epoch  3, Batch   1032, Loss  0.861902, Average Loss  0.871475, Time  0.236447
2021-09-22 06:39:36.215817 : Epoch  3, Batch   1033, Loss  0.875927, Average Loss  0.871567, Time  0.236650
2021-09-22 06:39:38.865066 : Epoch  3, Batch   1034, Loss  0.886258, Average Loss  0.871644, Time  0.236339
2021-09-22 06:39:41.504257 : Epoch  3, Batch   1035, Loss  0.875027, Average Loss  0.871616, Time  0.236332
2021-09-22 06:39:44.139263 : Epoch  3, Batch   1036, Loss  0.859047, Average Loss  0.871586, Time  0.236814
2021-09-22 06:39:46.776789 : Epoch  3, Batch   1037, Loss  0.875103, Average Loss  0.871684, Time  0.236521
2021-09-22 06:39:49.426878 : Epoch  3, Batch   1038, Loss  0.872617, Average Loss  0.871634, Time  0.237520
2021-09-22 06:39:52.068933 : Epoch  3, Batch   1039, Loss  0.875426, Average Loss  0.871637, Time  0.236419
2021-09-22 06:39:54.711898 : Epoch  3, Batch   1040, Loss  0.870369, Average Loss  0.871705, Time  0.236448
2021-09-22 06:39:57.353319 : Epoch  3, Batch   1041, Loss  0.867280, Average Loss  0.871720, Time  0.236096
2021-09-22 06:40:00.019192 : Epoch  3, Batch   1042, Loss  0.859012, Average Loss  0.871614, Time  0.236792
2021-09-22 06:40:02.667238 : Epoch  3, Batch   1043, Loss  0.867725, Average Loss  0.871572, Time  0.236256
2021-09-22 06:40:05.326878 : Epoch  3, Batch   1044, Loss  0.858999, Average Loss  0.871542, Time  0.236733
2021-09-22 06:40:07.985826 : Epoch  3, Batch   1045, Loss  0.855323, Average Loss  0.871550, Time  0.237626
2021-09-22 06:40:10.631413 : Epoch  3, Batch   1046, Loss  0.868182, Average Loss  0.871529, Time  0.236475
2021-09-22 06:40:13.272600 : Epoch  3, Batch   1047, Loss  0.854604, Average Loss  0.871353, Time  0.237453
2021-09-22 06:40:15.924917 : Epoch  3, Batch   1048, Loss  0.887554, Average Loss  0.871429, Time  0.237620
2021-09-22 06:40:18.570494 : Epoch  3, Batch   1049, Loss  0.870097, Average Loss  0.871452, Time  0.236851
2021-09-22 06:40:21.244889 : Epoch  3, Batch   1050, Loss  0.881175, Average Loss  0.871584, Time  0.238398
2021-09-22 06:40:23.890646 : Epoch  3, Batch   1051, Loss  0.859731, Average Loss  0.871543, Time  0.237851
2021-09-22 06:40:26.592879 : Epoch  3, Batch   1052, Loss  0.867285, Average Loss  0.871477, Time  0.236501
2021-09-22 06:40:29.239967 : Epoch  3, Batch   1053, Loss  0.884585, Average Loss  0.871663, Time  0.236594
2021-09-22 06:40:31.895936 : Epoch  3, Batch   1054, Loss  0.858075, Average Loss  0.871618, Time  0.236300
2021-09-22 06:40:34.569678 : Epoch  3, Batch   1055, Loss  0.889981, Average Loss  0.871645, Time  0.236360
2021-09-22 06:40:37.216217 : Epoch  3, Batch   1056, Loss  0.865221, Average Loss  0.871630, Time  0.237043
2021-09-22 06:40:39.866754 : Epoch  3, Batch   1057, Loss  0.864947, Average Loss  0.871722, Time  0.236379
2021-09-22 06:40:42.501913 : Epoch  3, Batch   1058, Loss  0.870364, Average Loss  0.871757, Time  0.236835
2021-09-22 06:40:45.146020 : Epoch  3, Batch   1059, Loss  0.855888, Average Loss  0.871722, Time  0.236291
2021-09-22 06:40:47.794272 : Epoch  3, Batch   1060, Loss  0.895621, Average Loss  0.871903, Time  0.237078
2021-09-22 06:40:50.454861 : Epoch  3, Batch   1061, Loss  0.887271, Average Loss  0.872019, Time  0.237339
2021-09-22 06:40:53.106420 : Epoch  3, Batch   1062, Loss  0.862819, Average Loss  0.871976, Time  0.238441
2021-09-22 06:40:55.755980 : Epoch  3, Batch   1063, Loss  0.861188, Average Loss  0.871996, Time  0.236399
2021-09-22 06:40:58.418212 : Epoch  3, Batch   1064, Loss  0.856461, Average Loss  0.871889, Time  0.236289
2021-09-22 06:41:01.085656 : Epoch  3, Batch   1065, Loss  0.853790, Average Loss  0.871950, Time  0.236189
2021-09-22 06:41:03.720388 : Epoch  3, Batch   1066, Loss  0.864223, Average Loss  0.871988, Time  0.236622
2021-09-22 06:41:06.372849 : Epoch  3, Batch   1067, Loss  0.867566, Average Loss  0.871993, Time  0.236917
2021-09-22 06:41:09.018868 : Epoch  3, Batch   1068, Loss  0.881382, Average Loss  0.872100, Time  0.237507
2021-09-22 06:41:11.666379 : Epoch  3, Batch   1069, Loss  0.878201, Average Loss  0.872084, Time  0.236968
2021-09-22 06:41:14.307220 : Epoch  3, Batch   1070, Loss  0.874672, Average Loss  0.872051, Time  0.237945
2021-09-22 06:41:16.952572 : Epoch  3, Batch   1071, Loss  0.871442, Average Loss  0.872074, Time  0.236117
2021-09-22 06:41:19.598152 : Epoch  3, Batch   1072, Loss  0.871087, Average Loss  0.872091, Time  0.237242
2021-09-22 06:41:22.231100 : Epoch  3, Batch   1073, Loss  0.855636, Average Loss  0.871949, Time  0.238544
2021-09-22 06:41:24.879792 : Epoch  3, Batch   1074, Loss  0.875123, Average Loss  0.872039, Time  0.236977
2021-09-22 06:41:27.526906 : Epoch  3, Batch   1075, Loss  0.875126, Average Loss  0.872062, Time  0.236644
2021-09-22 06:41:30.185264 : Epoch  3, Batch   1076, Loss  0.886920, Average Loss  0.872084, Time  0.237370
2021-09-22 06:41:32.842390 : Epoch  3, Batch   1077, Loss  0.841679, Average Loss  0.871835, Time  0.235714
2021-09-22 06:41:35.488754 : Epoch  3, Batch   1078, Loss  0.881222, Average Loss  0.871886, Time  0.236110
2021-09-22 06:41:38.143971 : Epoch  3, Batch   1079, Loss  0.885735, Average Loss  0.871957, Time  0.236408
2021-09-22 06:41:40.789942 : Epoch  3, Batch   1080, Loss  0.869394, Average Loss  0.871892, Time  0.236452
2021-09-22 06:41:43.416641 : Epoch  3, Batch   1081, Loss  0.859162, Average Loss  0.871845, Time  0.235950
2021-09-22 06:41:46.058972 : Epoch  3, Batch   1082, Loss  0.875960, Average Loss  0.871818, Time  0.236032
2021-09-22 06:41:48.710210 : Epoch  3, Batch   1083, Loss  0.867858, Average Loss  0.871788, Time  0.236970
2021-09-22 06:41:51.354825 : Epoch  3, Batch   1084, Loss  0.882885, Average Loss  0.871807, Time  0.237046
2021-09-22 06:41:53.999143 : Epoch  3, Batch   1085, Loss  0.872775, Average Loss  0.871855, Time  0.236880
2021-09-22 06:41:56.647251 : Epoch  3, Batch   1086, Loss  0.883166, Average Loss  0.871855, Time  0.236670
2021-09-22 06:41:59.287891 : Epoch  3, Batch   1087, Loss  0.858612, Average Loss  0.871807, Time  0.236376
2021-09-22 06:42:01.933411 : Epoch  3, Batch   1088, Loss  0.894270, Average Loss  0.871813, Time  0.236573
2021-09-22 06:46:11.181765 : CheckPoint: Validation Loss  0.00030204, Best Loss  0.00029452
2021-09-22 06:46:13.847896 : Epoch  3, Batch   1089, Loss  0.868808, Average Loss  0.871689, Time  0.258845
2021-09-22 06:46:16.499040 : Epoch  3, Batch   1090, Loss  0.856860, Average Loss  0.871534, Time  0.236543
2021-09-22 06:46:19.157257 : Epoch  3, Batch   1091, Loss  0.869274, Average Loss  0.871538, Time  0.236349
2021-09-22 06:46:21.830424 : Epoch  3, Batch   1092, Loss  0.854290, Average Loss  0.871396, Time  0.237651
2021-09-22 06:46:24.475688 : Epoch  3, Batch   1093, Loss  0.866604, Average Loss  0.871314, Time  0.235755
2021-09-22 06:46:27.145720 : Epoch  3, Batch   1094, Loss  0.878971, Average Loss  0.871269, Time  0.236679
2021-09-22 06:46:29.784998 : Epoch  3, Batch   1095, Loss  0.872319, Average Loss  0.871286, Time  0.236076
2021-09-22 06:46:32.429431 : Epoch  3, Batch   1096, Loss  0.861381, Average Loss  0.871232, Time  0.235966
2021-09-22 06:46:35.086995 : Epoch  3, Batch   1097, Loss  0.876518, Average Loss  0.871282, Time  0.236952
2021-09-22 06:46:37.729712 : Epoch  3, Batch   1098, Loss  0.886829, Average Loss  0.871409, Time  0.236885
2021-09-22 06:46:40.424869 : Epoch  3, Batch   1099, Loss  0.861728, Average Loss  0.871310, Time  0.236617
2021-09-22 06:46:43.074408 : Epoch  3, Batch   1100, Loss  0.871764, Average Loss  0.871288, Time  0.236812
2021-09-22 06:46:45.720996 : Epoch  3, Batch   1101, Loss  0.875683, Average Loss  0.871331, Time  0.236683
2021-09-22 06:46:48.381942 : Epoch  3, Batch   1102, Loss  0.863891, Average Loss  0.871318, Time  0.237132
2021-09-22 06:46:51.026192 : Epoch  3, Batch   1103, Loss  0.876269, Average Loss  0.871334, Time  0.236560
2021-09-22 06:46:53.673866 : Epoch  3, Batch   1104, Loss  0.892869, Average Loss  0.871452, Time  0.237413
2021-09-22 06:46:56.313011 : Epoch  3, Batch   1105, Loss  0.871192, Average Loss  0.871426, Time  0.237312
2021-09-22 06:46:58.950567 : Epoch  3, Batch   1106, Loss  0.867085, Average Loss  0.871442, Time  0.237606
2021-09-22 06:47:01.592276 : Epoch  3, Batch   1107, Loss  0.870499, Average Loss  0.871414, Time  0.236334
2021-09-22 06:47:04.238910 : Epoch  3, Batch   1108, Loss  0.904185, Average Loss  0.871598, Time  0.236906
2021-09-22 06:47:06.879925 : Epoch  3, Batch   1109, Loss  0.886799, Average Loss  0.871591, Time  0.236344
2021-09-22 06:47:09.526285 : Epoch  3, Batch   1110, Loss  0.875290, Average Loss  0.871660, Time  0.236303
2021-09-22 06:47:12.178433 : Epoch  3, Batch   1111, Loss  0.872380, Average Loss  0.871697, Time  0.236833
2021-09-22 06:47:14.825226 : Epoch  3, Batch   1112, Loss  0.866186, Average Loss  0.871665, Time  0.236605
2021-09-22 06:47:17.473443 : Epoch  3, Batch   1113, Loss  0.853119, Average Loss  0.871520, Time  0.235653
2021-09-22 06:47:20.118897 : Epoch  3, Batch   1114, Loss  0.856076, Average Loss  0.871406, Time  0.236562
2021-09-22 06:47:22.759902 : Epoch  3, Batch   1115, Loss  0.880608, Average Loss  0.871399, Time  0.236360
2021-09-22 06:47:25.401866 : Epoch  3, Batch   1116, Loss  0.870597, Average Loss  0.871419, Time  0.236364
2021-09-22 06:47:28.046509 : Epoch  3, Batch   1117, Loss  0.865256, Average Loss  0.871558, Time  0.235708
2021-09-22 06:47:30.684851 : Epoch  3, Batch   1118, Loss  0.859217, Average Loss  0.871463, Time  0.236207
2021-09-22 06:47:33.332702 : Epoch  3, Batch   1119, Loss  0.879505, Average Loss  0.871602, Time  0.236227
2021-09-22 06:47:35.971902 : Epoch  3, Batch   1120, Loss  0.862806, Average Loss  0.871540, Time  0.236449
2021-09-22 06:47:38.625201 : Epoch  3, Batch   1121, Loss  0.875305, Average Loss  0.871599, Time  0.237023
2021-09-22 06:47:41.280314 : Epoch  3, Batch   1122, Loss  0.864024, Average Loss  0.871537, Time  0.237186
2021-09-22 06:47:43.922852 : Epoch  3, Batch   1123, Loss  0.867260, Average Loss  0.871434, Time  0.236517
2021-09-22 06:47:46.564733 : Epoch  3, Batch   1124, Loss  0.856564, Average Loss  0.871390, Time  0.236219
2021-09-22 06:47:49.238901 : Epoch  3, Batch   1125, Loss  0.881739, Average Loss  0.871444, Time  0.236955
2021-09-22 06:47:51.879871 : Epoch  3, Batch   1126, Loss  0.866031, Average Loss  0.871415, Time  0.237013
2021-09-22 06:47:54.526166 : Epoch  3, Batch   1127, Loss  0.881418, Average Loss  0.871468, Time  0.237126
2021-09-22 06:47:57.160225 : Epoch  3, Batch   1128, Loss  0.872311, Average Loss  0.871389, Time  0.236493
2021-09-22 06:47:59.802899 : Epoch  3, Batch   1129, Loss  0.849052, Average Loss  0.871286, Time  0.237395
2021-09-22 06:48:02.451435 : Epoch  3, Batch   1130, Loss  0.875936, Average Loss  0.871293, Time  0.236190
2021-09-22 06:48:05.099404 : Epoch  3, Batch   1131, Loss  0.874405, Average Loss  0.871183, Time  0.235834
2021-09-22 06:48:07.748276 : Epoch  3, Batch   1132, Loss  0.872603, Average Loss  0.871117, Time  0.236857
2021-09-22 06:48:10.395130 : Epoch  3, Batch   1133, Loss  0.879899, Average Loss  0.871207, Time  0.236376
2021-09-22 06:48:13.040935 : Epoch  3, Batch   1134, Loss  0.871298, Average Loss  0.871163, Time  0.235999
2021-09-22 06:48:15.684902 : Epoch  3, Batch   1135, Loss  0.854495, Average Loss  0.871025, Time  0.236813
2021-09-22 06:48:18.328280 : Epoch  3, Batch   1136, Loss  0.878629, Average Loss  0.871043, Time  0.237037
2021-09-22 06:48:20.981445 : Epoch  3, Batch   1137, Loss  0.857283, Average Loss  0.870898, Time  0.241581
2021-09-22 06:48:23.631759 : Epoch  3, Batch   1138, Loss  0.879049, Average Loss  0.871005, Time  0.236815
2021-09-22 06:48:26.268862 : Epoch  3, Batch   1139, Loss  0.889241, Average Loss  0.871169, Time  0.236674
2021-09-22 06:48:28.924855 : Epoch  3, Batch   1140, Loss  0.885234, Average Loss  0.871162, Time  0.237010
2021-09-22 06:48:31.582930 : Epoch  3, Batch   1141, Loss  0.852283, Average Loss  0.871029, Time  0.236108
2021-09-22 06:48:34.238163 : Epoch  3, Batch   1142, Loss  0.889484, Average Loss  0.871229, Time  0.236279
2021-09-22 06:48:36.883870 : Epoch  3, Batch   1143, Loss  0.870105, Average Loss  0.871126, Time  0.236069
2021-09-22 06:48:39.528952 : Epoch  3, Batch   1144, Loss  0.890144, Average Loss  0.871233, Time  0.236709
2021-09-22 06:48:42.167809 : Epoch  3, Batch   1145, Loss  0.866941, Average Loss  0.871176, Time  0.236678
2021-09-22 06:48:44.817088 : Epoch  3, Batch   1146, Loss  0.874073, Average Loss  0.871204, Time  0.237014
2021-09-22 06:48:47.456811 : Epoch  3, Batch   1147, Loss  0.861624, Average Loss  0.871157, Time  0.236512
2021-09-22 06:48:50.098405 : Epoch  3, Batch   1148, Loss  0.859160, Average Loss  0.871073, Time  0.237706
2021-09-22 06:48:52.755725 : Epoch  3, Batch   1149, Loss  0.866953, Average Loss  0.871068, Time  0.236125
2021-09-22 06:48:55.409794 : Epoch  3, Batch   1150, Loss  0.883803, Average Loss  0.871177, Time  0.237512
2021-09-22 06:48:58.053745 : Epoch  3, Batch   1151, Loss  0.879147, Average Loss  0.871227, Time  0.236443
2021-09-22 06:49:00.719612 : Epoch  3, Batch   1152, Loss  0.889471, Average Loss  0.871361, Time  0.237238
2021-09-22 06:49:03.358887 : Epoch  3, Batch   1153, Loss  0.865553, Average Loss  0.871324, Time  0.236626
2021-09-22 06:49:06.014389 : Epoch  3, Batch   1154, Loss  0.859548, Average Loss  0.871267, Time  0.236325
2021-09-22 06:49:08.655410 : Epoch  3, Batch   1155, Loss  0.871527, Average Loss  0.871254, Time  0.236531
2021-09-22 06:49:11.291993 : Epoch  3, Batch   1156, Loss  0.852203, Average Loss  0.871118, Time  0.236948
2021-09-22 06:49:13.946398 : Epoch  3, Batch   1157, Loss  0.869350, Average Loss  0.871201, Time  0.235437
2021-09-22 06:49:16.596009 : Epoch  3, Batch   1158, Loss  0.870804, Average Loss  0.871162, Time  0.236794
2021-09-22 06:49:19.247393 : Epoch  3, Batch   1159, Loss  0.859502, Average Loss  0.871090, Time  0.237466
2021-09-22 06:49:21.893687 : Epoch  3, Batch   1160, Loss  0.872828, Average Loss  0.871144, Time  0.236637
2021-09-22 06:49:24.538191 : Epoch  3, Batch   1161, Loss  0.887880, Average Loss  0.871159, Time  0.236892
2021-09-22 06:49:27.185419 : Epoch  3, Batch   1162, Loss  0.884197, Average Loss  0.871194, Time  0.235725
2021-09-22 06:49:29.848445 : Epoch  3, Batch   1163, Loss  0.859323, Average Loss  0.871120, Time  0.236816
2021-09-22 06:49:32.516477 : Epoch  3, Batch   1164, Loss  0.886340, Average Loss  0.871179, Time  0.237192
2021-09-22 06:49:35.164822 : Epoch  3, Batch   1165, Loss  0.871990, Average Loss  0.871225, Time  0.236580
2021-09-22 06:49:37.808418 : Epoch  3, Batch   1166, Loss  0.851474, Average Loss  0.871236, Time  0.237003
2021-09-22 06:49:40.463869 : Epoch  3, Batch   1167, Loss  0.864234, Average Loss  0.871301, Time  0.236006
2021-09-22 06:49:43.105426 : Epoch  3, Batch   1168, Loss  0.889725, Average Loss  0.871335, Time  0.236223
2021-09-22 06:49:45.749171 : Epoch  3, Batch   1169, Loss  0.866768, Average Loss  0.871252, Time  0.236264
2021-09-22 06:49:48.389898 : Epoch  3, Batch   1170, Loss  0.863480, Average Loss  0.871276, Time  0.236904
2021-09-22 06:49:51.026674 : Epoch  3, Batch   1171, Loss  0.873989, Average Loss  0.871346, Time  0.236526
2021-09-22 06:49:53.703810 : Epoch  3, Batch   1172, Loss  0.866494, Average Loss  0.871311, Time  0.237926
2021-09-22 06:49:56.371929 : Epoch  3, Batch   1173, Loss  0.867427, Average Loss  0.871363, Time  0.236473
2021-09-22 06:49:59.028440 : Epoch  3, Batch   1174, Loss  0.848896, Average Loss  0.871166, Time  0.237059
2021-09-22 06:50:01.682668 : Epoch  3, Batch   1175, Loss  0.880776, Average Loss  0.871394, Time  0.236253
2021-09-22 06:50:04.344408 : Epoch  3, Batch   1176, Loss  0.847495, Average Loss  0.871274, Time  0.237010
2021-09-22 06:50:06.989395 : Epoch  3, Batch   1177, Loss  0.845360, Average Loss  0.871136, Time  0.235641
2021-09-22 06:50:09.631139 : Epoch  3, Batch   1178, Loss  0.876889, Average Loss  0.871077, Time  0.236968
2021-09-22 06:50:12.285380 : Epoch  3, Batch   1179, Loss  0.868958, Average Loss  0.871034, Time  0.236456
2021-09-22 06:50:14.932690 : Epoch  3, Batch   1180, Loss  0.863122, Average Loss  0.870938, Time  0.236727
2021-09-22 06:50:17.577635 : Epoch  3, Batch   1181, Loss  0.858137, Average Loss  0.870913, Time  0.235662
2021-09-22 06:50:20.215671 : Epoch  3, Batch   1182, Loss  0.847612, Average Loss  0.870800, Time  0.236768
2021-09-22 06:50:22.871078 : Epoch  3, Batch   1183, Loss  0.879171, Average Loss  0.870805, Time  0.237141
2021-09-22 06:50:25.532996 : Epoch  3, Batch   1184, Loss  0.863285, Average Loss  0.870724, Time  0.236946
2021-09-22 06:50:28.179040 : Epoch  3, Batch   1185, Loss  0.856129, Average Loss  0.870652, Time  0.236271
2021-09-22 06:50:30.813841 : Epoch  3, Batch   1186, Loss  0.871297, Average Loss  0.870645, Time  0.237120
2021-09-22 06:50:33.466937 : Epoch  3, Batch   1187, Loss  0.880767, Average Loss  0.870757, Time  0.236244
2021-09-22 06:50:36.102714 : Epoch  3, Batch   1188, Loss  0.873134, Average Loss  0.870724, Time  0.235883
2021-09-22 06:54:46.243993 : CheckPoint: Validation Loss  0.00030227, Best Loss  0.00029452
2021-09-22 06:54:48.917052 : Epoch  3, Batch   1189, Loss  0.861274, Average Loss  0.870591, Time  0.265905
2021-09-22 06:54:51.573215 : Epoch  3, Batch   1190, Loss  0.899136, Average Loss  0.870757, Time  0.239702
2021-09-22 06:54:54.224919 : Epoch  3, Batch   1191, Loss  0.865231, Average Loss  0.870595, Time  0.236524
2021-09-22 06:54:56.864866 : Epoch  3, Batch   1192, Loss  0.869293, Average Loss  0.870574, Time  0.239307
2021-09-22 06:54:59.520874 : Epoch  3, Batch   1193, Loss  0.866239, Average Loss  0.870630, Time  0.236530
2021-09-22 06:55:02.187986 : Epoch  3, Batch   1194, Loss  0.863462, Average Loss  0.870573, Time  0.237624
2021-09-22 06:55:04.832071 : Epoch  3, Batch   1195, Loss  0.866492, Average Loss  0.870578, Time  0.235748
2021-09-22 06:55:07.461510 : Epoch  3, Batch   1196, Loss  0.891193, Average Loss  0.870648, Time  0.235878
2021-09-22 06:55:10.107463 : Epoch  3, Batch   1197, Loss  0.859845, Average Loss  0.870618, Time  0.236398
2021-09-22 06:55:12.747705 : Epoch  3, Batch   1198, Loss  0.864921, Average Loss  0.870618, Time  0.236600
2021-09-22 06:55:15.384101 : Epoch  3, Batch   1199, Loss  0.849201, Average Loss  0.870389, Time  0.236019
2021-09-22 06:55:18.036412 : Epoch  3, Batch   1200, Loss  0.862473, Average Loss  0.870293, Time  0.236999
2021-09-22 06:55:20.671361 : Epoch  3, Batch   1201, Loss  0.880903, Average Loss  0.870297, Time  0.238988
2021-09-22 06:55:23.328107 : Epoch  3, Batch   1202, Loss  0.865176, Average Loss  0.870289, Time  0.236593
2021-09-22 06:55:25.997064 : Epoch  3, Batch   1203, Loss  0.858557, Average Loss  0.870233, Time  0.236386
2021-09-22 06:55:28.637140 : Epoch  3, Batch   1204, Loss  0.872645, Average Loss  0.870230, Time  0.236604
2021-09-22 06:55:31.287832 : Epoch  3, Batch   1205, Loss  0.878781, Average Loss  0.870230, Time  0.237537
2021-09-22 06:55:33.940965 : Epoch  3, Batch   1206, Loss  0.876057, Average Loss  0.870197, Time  0.236402
2021-09-22 06:55:36.587348 : Epoch  3, Batch   1207, Loss  0.849165, Average Loss  0.870076, Time  0.237342
2021-09-22 06:55:39.238435 : Epoch  3, Batch   1208, Loss  0.859744, Average Loss  0.869974, Time  0.236542
2021-09-22 06:55:41.871057 : Epoch  3, Batch   1209, Loss  0.865871, Average Loss  0.869871, Time  0.237600
2021-09-22 06:55:44.518438 : Epoch  3, Batch   1210, Loss  0.860535, Average Loss  0.869903, Time  0.238121
2021-09-22 06:55:47.173024 : Epoch  3, Batch   1211, Loss  0.895622, Average Loss  0.869985, Time  0.236868
2021-09-22 06:55:49.808444 : Epoch  3, Batch   1212, Loss  0.862428, Average Loss  0.869916, Time  0.236737
2021-09-22 06:55:52.463881 : Epoch  3, Batch   1213, Loss  0.865484, Average Loss  0.869899, Time  0.239645
2021-09-22 06:55:55.108378 : Epoch  3, Batch   1214, Loss  0.882300, Average Loss  0.869953, Time  0.236537
2021-09-22 06:55:57.736914 : Epoch  3, Batch   1215, Loss  0.862165, Average Loss  0.869925, Time  0.236786
2021-09-22 06:56:00.395122 : Epoch  3, Batch   1216, Loss  0.881770, Average Loss  0.869950, Time  0.237983
2021-09-22 06:56:03.038947 : Epoch  3, Batch   1217, Loss  0.875411, Average Loss  0.869991, Time  0.236666
2021-09-22 06:56:05.690946 : Epoch  3, Batch   1218, Loss  0.860146, Average Loss  0.869947, Time  0.237329
2021-09-22 06:56:08.333384 : Epoch  3, Batch   1219, Loss  0.865210, Average Loss  0.869815, Time  0.236242
2021-09-22 06:56:10.975626 : Epoch  3, Batch   1220, Loss  0.874634, Average Loss  0.869773, Time  0.236437
2021-09-22 06:56:13.613264 : Epoch  3, Batch   1221, Loss  0.865228, Average Loss  0.869791, Time  0.235921
2021-09-22 06:56:16.331968 : Epoch  3, Batch   1222, Loss  0.853203, Average Loss  0.869663, Time  0.237668
2021-09-22 06:56:18.963657 : Epoch  3, Batch   1223, Loss  0.879795, Average Loss  0.869802, Time  0.236213
2021-09-22 06:56:21.603628 : Epoch  3, Batch   1224, Loss  0.856711, Average Loss  0.869825, Time  0.236314
2021-09-22 06:56:24.251386 : Epoch  3, Batch   1225, Loss  0.882360, Average Loss  0.869846, Time  0.236958
2021-09-22 06:56:26.893642 : Epoch  3, Batch   1226, Loss  0.886108, Average Loss  0.870008, Time  0.236379
2021-09-22 06:56:29.547449 : Epoch  3, Batch   1227, Loss  0.867594, Average Loss  0.870028, Time  0.236497
2021-09-22 06:56:32.200669 : Epoch  3, Batch   1228, Loss  0.861664, Average Loss  0.869994, Time  0.238010
2021-09-22 06:56:34.839903 : Epoch  3, Batch   1229, Loss  0.870904, Average Loss  0.870002, Time  0.236251
2021-09-22 06:56:37.484718 : Epoch  3, Batch   1230, Loss  0.852520, Average Loss  0.869928, Time  0.238209
2021-09-22 06:56:40.131012 : Epoch  3, Batch   1231, Loss  0.877883, Average Loss  0.869999, Time  0.235814
2021-09-22 06:56:42.774739 : Epoch  3, Batch   1232, Loss  0.878263, Average Loss  0.870081, Time  0.236765
2021-09-22 06:56:45.421359 : Epoch  3, Batch   1233, Loss  0.852316, Average Loss  0.869963, Time  0.236659
2021-09-22 06:56:48.059654 : Epoch  3, Batch   1234, Loss  0.856701, Average Loss  0.869815, Time  0.236768
2021-09-22 06:56:50.715674 : Epoch  3, Batch   1235, Loss  0.872161, Average Loss  0.869800, Time  0.236373
2021-09-22 06:56:53.354983 : Epoch  3, Batch   1236, Loss  0.876103, Average Loss  0.869886, Time  0.238716
2021-09-22 06:56:56.007410 : Epoch  3, Batch   1237, Loss  0.879674, Average Loss  0.869909, Time  0.236232
2021-09-22 06:56:58.642096 : Epoch  3, Batch   1238, Loss  0.864868, Average Loss  0.869870, Time  0.236470
2021-09-22 06:57:01.307429 : Epoch  3, Batch   1239, Loss  0.878263, Average Loss  0.869884, Time  0.236225
2021-09-22 06:57:03.952426 : Epoch  3, Batch   1240, Loss  0.864535, Average Loss  0.869855, Time  0.236654
2021-09-22 06:57:06.607422 : Epoch  3, Batch   1241, Loss  0.865830, Average Loss  0.869848, Time  0.236562
2021-09-22 06:57:09.250393 : Epoch  3, Batch   1242, Loss  0.870713, Average Loss  0.869906, Time  0.236686
2021-09-22 06:57:11.904912 : Epoch  3, Batch   1243, Loss  0.880088, Average Loss  0.869968, Time  0.236724
2021-09-22 06:57:14.553418 : Epoch  3, Batch   1244, Loss  0.870048, Average Loss  0.870023, Time  0.236200
2021-09-22 06:57:17.216396 : Epoch  3, Batch   1245, Loss  0.876116, Average Loss  0.870127, Time  0.237278
2021-09-22 06:57:19.881440 : Epoch  3, Batch   1246, Loss  0.868467, Average Loss  0.870129, Time  0.236384
2021-09-22 06:57:22.522366 : Epoch  3, Batch   1247, Loss  0.872684, Average Loss  0.870219, Time  0.237020
2021-09-22 06:57:25.166231 : Epoch  3, Batch   1248, Loss  0.840669, Average Loss  0.869985, Time  0.236651
2021-09-22 06:57:27.809200 : Epoch  3, Batch   1249, Loss  0.858278, Average Loss  0.869925, Time  0.236232
2021-09-22 06:57:30.458040 : Epoch  3, Batch   1250, Loss  0.887101, Average Loss  0.869955, Time  0.238185
2021-09-22 06:57:33.107171 : Epoch  3, Batch   1251, Loss  0.868194, Average Loss  0.869997, Time  0.236311
2021-09-22 06:57:35.752446 : Epoch  3, Batch   1252, Loss  0.884891, Average Loss  0.870085, Time  0.237604
2021-09-22 06:57:38.405434 : Epoch  3, Batch   1253, Loss  0.867697, Average Loss  0.870001, Time  0.236787
2021-09-22 06:57:41.039324 : Epoch  3, Batch   1254, Loss  0.875369, Average Loss  0.870087, Time  0.236791
2021-09-22 06:57:43.703299 : Epoch  3, Batch   1255, Loss  0.902295, Average Loss  0.870149, Time  0.236972
2021-09-22 06:57:46.348859 : Epoch  3, Batch   1256, Loss  0.884208, Average Loss  0.870244, Time  0.236444
2021-09-22 06:57:49.018755 : Epoch  3, Batch   1257, Loss  0.865950, Average Loss  0.870249, Time  0.236564
2021-09-22 06:57:51.650093 : Epoch  3, Batch   1258, Loss  0.865980, Average Loss  0.870227, Time  0.236111
2021-09-22 06:57:54.280428 : Epoch  3, Batch   1259, Loss  0.874579, Average Loss  0.870321, Time  0.236031
2021-09-22 06:57:56.924654 : Epoch  3, Batch   1260, Loss  0.857684, Average Loss  0.870131, Time  0.237298
2021-09-22 06:57:59.577413 : Epoch  3, Batch   1261, Loss  0.868529, Average Loss  0.870037, Time  0.236534
2021-09-22 06:58:02.223301 : Epoch  3, Batch   1262, Loss  0.861042, Average Loss  0.870028, Time  0.237103
2021-09-22 06:58:04.922170 : Epoch  3, Batch   1263, Loss  0.875662, Average Loss  0.870101, Time  0.236244
2021-09-22 06:58:07.635412 : Epoch  3, Batch   1264, Loss  0.872899, Average Loss  0.870183, Time  0.236967
2021-09-22 06:58:10.284914 : Epoch  3, Batch   1265, Loss  0.850876, Average Loss  0.870168, Time  0.236496
2021-09-22 06:58:12.931233 : Epoch  3, Batch   1266, Loss  0.871586, Average Loss  0.870205, Time  0.235954
2021-09-22 06:58:15.584471 : Epoch  3, Batch   1267, Loss  0.878666, Average Loss  0.870261, Time  0.236845
2021-09-22 06:58:18.230868 : Epoch  3, Batch   1268, Loss  0.885597, Average Loss  0.870282, Time  0.236658
2021-09-22 06:58:20.891982 : Epoch  3, Batch   1269, Loss  0.878232, Average Loss  0.870282, Time  0.236822
2021-09-22 06:58:23.539871 : Epoch  3, Batch   1270, Loss  0.870694, Average Loss  0.870262, Time  0.236949
2021-09-22 06:58:26.179977 : Epoch  3, Batch   1271, Loss  0.860844, Average Loss  0.870209, Time  0.237288
2021-09-22 06:58:28.894823 : Epoch  3, Batch   1272, Loss  0.870466, Average Loss  0.870206, Time  0.238584
2021-09-22 06:58:31.547417 : Epoch  3, Batch   1273, Loss  0.852906, Average Loss  0.870192, Time  0.240292
2021-09-22 06:58:34.189878 : Epoch  3, Batch   1274, Loss  0.870387, Average Loss  0.870168, Time  0.236591
2021-09-22 06:58:36.852363 : Epoch  3, Batch   1275, Loss  0.850970, Average Loss  0.870048, Time  0.237101
2021-09-22 06:58:39.492106 : Epoch  3, Batch   1276, Loss  0.851221, Average Loss  0.869869, Time  0.237091
2021-09-22 06:58:42.143892 : Epoch  3, Batch   1277, Loss  0.887984, Average Loss  0.870101, Time  0.236916
2021-09-22 06:58:44.797121 : Epoch  3, Batch   1278, Loss  0.879064, Average Loss  0.870090, Time  0.237666
2021-09-22 06:58:47.444906 : Epoch  3, Batch   1279, Loss  0.882019, Average Loss  0.870071, Time  0.236893
2021-09-22 06:58:50.087028 : Epoch  3, Batch   1280, Loss  0.861263, Average Loss  0.870031, Time  0.236236
2021-09-22 06:58:52.757424 : Epoch  3, Batch   1281, Loss  0.871579, Average Loss  0.870093, Time  0.237566
2021-09-22 06:58:55.420406 : Epoch  3, Batch   1282, Loss  0.881794, Average Loss  0.870122, Time  0.236891
2021-09-22 06:58:58.071060 : Epoch  3, Batch   1283, Loss  0.856362, Average Loss  0.870064, Time  0.236650
2021-09-22 06:59:00.706412 : Epoch  3, Batch   1284, Loss  0.865991, Average Loss  0.869980, Time  0.236820
2021-09-22 06:59:03.334399 : Epoch  3, Batch   1285, Loss  0.864351, Average Loss  0.869938, Time  0.235527
2021-09-22 06:59:05.972058 : Epoch  3, Batch   1286, Loss  0.854749, Average Loss  0.869796, Time  0.235881
2021-09-22 06:59:08.598182 : Epoch  3, Batch   1287, Loss  0.867684, Average Loss  0.869841, Time  0.235919
2021-09-22 06:59:20.423931 : Epoch  3, Batch   1288, Loss  0.867520, Average Loss  0.869707, Time  0.260158
2021-09-22 07:03:28.070740 : CheckPoint: Validation Loss  0.00030889, Best Loss  0.00029452
2021-09-22 07:03:30.722096 : Epoch  3, Batch   1289, Loss  0.881801, Average Loss  0.869772, Time  0.237886
2021-09-22 07:03:33.373912 : Epoch  3, Batch   1290, Loss  0.864285, Average Loss  0.869809, Time  0.235918
2021-09-22 07:03:36.014265 : Epoch  3, Batch   1291, Loss  0.881154, Average Loss  0.869869, Time  0.235846
2021-09-22 07:03:38.650068 : Epoch  3, Batch   1292, Loss  0.873088, Average Loss  0.869963, Time  0.236367
2021-09-22 07:03:41.287368 : Epoch  3, Batch   1293, Loss  0.868819, Average Loss  0.869974, Time  0.235938
2021-09-22 07:03:43.925400 : Epoch  3, Batch   1294, Loss  0.871040, Average Loss  0.869934, Time  0.237082
2021-09-22 07:03:46.575411 : Epoch  3, Batch   1295, Loss  0.892275, Average Loss  0.870034, Time  0.238334
2021-09-22 07:03:49.210242 : Epoch  3, Batch   1296, Loss  0.865287, Average Loss  0.870054, Time  0.236182
2021-09-22 07:03:51.857251 : Epoch  3, Batch   1297, Loss  0.871167, Average Loss  0.870027, Time  0.236952
2021-09-22 07:03:54.493823 : Epoch  3, Batch   1298, Loss  0.873091, Average Loss  0.869958, Time  0.236587
2021-09-22 07:03:57.135891 : Epoch  3, Batch   1299, Loss  0.879216, Average Loss  0.870046, Time  0.236144
2021-09-22 07:03:59.792393 : Epoch  3, Batch   1300, Loss  0.863375, Average Loss  0.870004, Time  0.235903
2021-09-22 07:04:02.426091 : Epoch  3, Batch   1301, Loss  0.867466, Average Loss  0.869963, Time  0.237872
2021-09-22 07:04:05.069728 : Epoch  3, Batch   1302, Loss  0.889815, Average Loss  0.870092, Time  0.236548
2021-09-22 07:04:07.719125 : Epoch  3, Batch   1303, Loss  0.854033, Average Loss  0.869981, Time  0.236240
2021-09-22 07:04:10.395037 : Epoch  3, Batch   1304, Loss  0.858919, Average Loss  0.869811, Time  0.237295
2021-09-22 07:04:13.030842 : Epoch  3, Batch   1305, Loss  0.870461, Average Loss  0.869808, Time  0.237050
2021-09-22 07:04:15.665936 : Epoch  3, Batch   1306, Loss  0.875522, Average Loss  0.869850, Time  0.237149
2021-09-22 07:04:18.322077 : Epoch  3, Batch   1307, Loss  0.883241, Average Loss  0.869914, Time  0.237735
2021-09-22 07:04:20.960396 : Epoch  3, Batch   1308, Loss  0.880849, Average Loss  0.869797, Time  0.237157
2021-09-22 07:04:23.606121 : Epoch  3, Batch   1309, Loss  0.852943, Average Loss  0.869628, Time  0.236937
2021-09-22 07:04:26.246579 : Epoch  3, Batch   1310, Loss  0.861769, Average Loss  0.869560, Time  0.237416
2021-09-22 07:04:28.889917 : Epoch  3, Batch   1311, Loss  0.872787, Average Loss  0.869562, Time  0.236184
2021-09-22 07:04:31.573143 : Epoch  3, Batch   1312, Loss  0.872310, Average Loss  0.869593, Time  0.236233
2021-09-22 07:04:34.242251 : Epoch  3, Batch   1313, Loss  0.878407, Average Loss  0.869719, Time  0.236347
2021-09-22 07:04:36.868651 : Epoch  3, Batch   1314, Loss  0.886084, Average Loss  0.869869, Time  0.236263
2021-09-22 07:04:39.506397 : Epoch  3, Batch   1315, Loss  0.880900, Average Loss  0.869871, Time  0.235682
2021-09-22 07:04:42.166052 : Epoch  3, Batch   1316, Loss  0.870904, Average Loss  0.869872, Time  0.236760
2021-09-22 07:04:44.805862 : Epoch  3, Batch   1317, Loss  0.907873, Average Loss  0.870085, Time  0.237410
2021-09-22 07:04:47.455414 : Epoch  3, Batch   1318, Loss  0.860147, Average Loss  0.870090, Time  0.236816
2021-09-22 07:04:50.117888 : Epoch  3, Batch   1319, Loss  0.885426, Average Loss  0.870119, Time  0.236812
2021-09-22 07:04:52.764818 : Epoch  3, Batch   1320, Loss  0.869440, Average Loss  0.870153, Time  0.236620
2021-09-22 07:04:55.412396 : Epoch  3, Batch   1321, Loss  0.877666, Average Loss  0.870164, Time  0.236005
2021-09-22 07:04:58.059857 : Epoch  3, Batch   1322, Loss  0.866611, Average Loss  0.870177, Time  0.237632
2021-09-22 07:05:00.703636 : Epoch  3, Batch   1323, Loss  0.860649, Average Loss  0.870144, Time  0.236194
2021-09-22 07:05:03.357197 : Epoch  3, Batch   1324, Loss  0.882272, Average Loss  0.870273, Time  0.236317
2021-09-22 07:05:05.998873 : Epoch  3, Batch   1325, Loss  0.881483, Average Loss  0.870272, Time  0.235892
2021-09-22 07:05:08.647947 : Epoch  3, Batch   1326, Loss  0.860663, Average Loss  0.870245, Time  0.237400
2021-09-22 07:05:11.303471 : Epoch  3, Batch   1327, Loss  0.852433, Average Loss  0.870100, Time  0.236842
2021-09-22 07:05:13.951420 : Epoch  3, Batch   1328, Loss  0.877715, Average Loss  0.870127, Time  0.236480
2021-09-22 07:05:16.601457 : Epoch  3, Batch   1329, Loss  0.868859, Average Loss  0.870226, Time  0.237553
2021-09-22 07:05:19.254445 : Epoch  3, Batch   1330, Loss  0.868624, Average Loss  0.870189, Time  0.236926
2021-09-22 07:05:21.899398 : Epoch  3, Batch   1331, Loss  0.869428, Average Loss  0.870164, Time  0.235918
2021-09-22 07:05:24.527757 : Epoch  3, Batch   1332, Loss  0.865479, Average Loss  0.870129, Time  0.237257
2021-09-22 07:05:27.167395 : Epoch  3, Batch   1333, Loss  0.854698, Average Loss  0.870003, Time  0.236002
2021-09-22 07:05:29.807382 : Epoch  3, Batch   1334, Loss  0.868022, Average Loss  0.869986, Time  0.236224
2021-09-22 07:05:32.443436 : Epoch  3, Batch   1335, Loss  0.891667, Average Loss  0.870172, Time  0.236137
2021-09-22 07:05:35.098400 : Epoch  3, Batch   1336, Loss  0.861702, Average Loss  0.870088, Time  0.243784
2021-09-22 07:05:37.738843 : Epoch  3, Batch   1337, Loss  0.888554, Average Loss  0.870244, Time  0.236501
2021-09-22 07:05:40.394976 : Epoch  3, Batch   1338, Loss  0.863932, Average Loss  0.870168, Time  0.236802
2021-09-22 07:05:43.044923 : Epoch  3, Batch   1339, Loss  0.868457, Average Loss  0.870064, Time  0.238277
2021-09-22 07:05:45.699429 : Epoch  3, Batch   1340, Loss  0.870360, Average Loss  0.869990, Time  0.239132
2021-09-22 07:05:48.341022 : Epoch  3, Batch   1341, Loss  0.896597, Average Loss  0.870212, Time  0.236706
2021-09-22 07:05:50.983388 : Epoch  3, Batch   1342, Loss  0.864127, Average Loss  0.870085, Time  0.236484
2021-09-22 07:05:53.624882 : Epoch  3, Batch   1343, Loss  0.868707, Average Loss  0.870078, Time  0.236833
2021-09-22 07:05:56.269396 : Epoch  3, Batch   1344, Loss  0.876865, Average Loss  0.870011, Time  0.236299
2021-09-22 07:05:58.905957 : Epoch  3, Batch   1345, Loss  0.873108, Average Loss  0.870042, Time  0.236894
2021-09-22 07:06:01.568974 : Epoch  3, Batch   1346, Loss  0.875796, Average Loss  0.870051, Time  0.236536
2021-09-22 07:06:04.207971 : Epoch  3, Batch   1347, Loss  0.855716, Average Loss  0.870021, Time  0.236025
2021-09-22 07:06:06.860640 : Epoch  3, Batch   1348, Loss  0.861443, Average Loss  0.870033, Time  0.236755
2021-09-22 07:06:09.500414 : Epoch  3, Batch   1349, Loss  0.867573, Average Loss  0.870036, Time  0.238527
2021-09-22 07:06:12.144892 : Epoch  3, Batch   1350, Loss  0.861335, Average Loss  0.869924, Time  0.237518
2021-09-22 07:06:14.791013 : Epoch  3, Batch   1351, Loss  0.872960, Average Loss  0.869893, Time  0.235874
2021-09-22 07:06:17.442458 : Epoch  3, Batch   1352, Loss  0.863787, Average Loss  0.869764, Time  0.237240
2021-09-22 07:06:20.084934 : Epoch  3, Batch   1353, Loss  0.866314, Average Loss  0.869768, Time  0.236926
2021-09-22 07:06:22.719847 : Epoch  3, Batch   1354, Loss  0.856444, Average Loss  0.869753, Time  0.236866
2021-09-22 07:06:25.356228 : Epoch  3, Batch   1355, Loss  0.890010, Average Loss  0.869845, Time  0.237290
2021-09-22 07:06:28.011981 : Epoch  3, Batch   1356, Loss  0.859486, Average Loss  0.869881, Time  0.236867
2021-09-22 07:06:30.673890 : Epoch  3, Batch   1357, Loss  0.848544, Average Loss  0.869777, Time  0.236191
2021-09-22 07:06:33.329238 : Epoch  3, Batch   1358, Loss  0.866272, Average Loss  0.869755, Time  0.236986
2021-09-22 07:06:35.971962 : Epoch  3, Batch   1359, Loss  0.868379, Average Loss  0.869799, Time  0.236662
2021-09-22 07:06:38.661781 : Epoch  3, Batch   1360, Loss  0.861134, Average Loss  0.869741, Time  0.254504
2021-09-22 07:06:41.335613 : Epoch  3, Batch   1361, Loss  0.875153, Average Loss  0.869677, Time  0.240285
2021-09-22 07:06:43.991893 : Epoch  3, Batch   1362, Loss  0.852249, Average Loss  0.869517, Time  0.237424
2021-09-22 07:06:46.648953 : Epoch  3, Batch   1363, Loss  0.882167, Average Loss  0.869631, Time  0.237206
2021-09-22 07:06:49.309462 : Epoch  3, Batch   1364, Loss  0.868670, Average Loss  0.869543, Time  0.238174
2021-09-22 07:06:51.959683 : Epoch  3, Batch   1365, Loss  0.868425, Average Loss  0.869525, Time  0.236312
2021-09-22 07:06:54.624716 : Epoch  3, Batch   1366, Loss  0.881622, Average Loss  0.869676, Time  0.239197
2021-09-22 07:06:57.314077 : Epoch  3, Batch   1367, Loss  0.861196, Average Loss  0.869661, Time  0.236837
2021-09-22 07:06:59.961212 : Epoch  3, Batch   1368, Loss  0.874567, Average Loss  0.869585, Time  0.236442
2021-09-22 07:07:02.628699 : Epoch  3, Batch   1369, Loss  0.882003, Average Loss  0.869661, Time  0.238612
2021-09-22 07:07:05.283424 : Epoch  3, Batch   1370, Loss  0.876601, Average Loss  0.869727, Time  0.237442
2021-09-22 07:07:07.935973 : Epoch  3, Batch   1371, Loss  0.900445, Average Loss  0.869859, Time  0.236967
2021-09-22 07:07:10.587414 : Epoch  3, Batch   1372, Loss  0.859179, Average Loss  0.869822, Time  0.236296
2021-09-22 07:07:13.249516 : Epoch  3, Batch   1373, Loss  0.886751, Average Loss  0.869919, Time  0.238862
2021-09-22 07:07:15.917439 : Epoch  3, Batch   1374, Loss  0.887991, Average Loss  0.870115, Time  0.237269
2021-09-22 07:07:18.567923 : Epoch  3, Batch   1375, Loss  0.864828, Average Loss  0.870035, Time  0.236309
2021-09-22 07:07:21.214162 : Epoch  3, Batch   1376, Loss  0.875110, Average Loss  0.870173, Time  0.236961
2021-09-22 07:07:23.871057 : Epoch  3, Batch   1377, Loss  0.878842, Average Loss  0.870340, Time  0.237498
2021-09-22 07:07:26.522268 : Epoch  3, Batch   1378, Loss  0.860620, Average Loss  0.870259, Time  0.238362
2021-09-22 07:07:29.202574 : Epoch  3, Batch   1379, Loss  0.876925, Average Loss  0.870299, Time  0.236519
2021-09-22 07:07:31.846785 : Epoch  3, Batch   1380, Loss  0.861935, Average Loss  0.870293, Time  0.235816
2021-09-22 07:07:34.501648 : Epoch  3, Batch   1381, Loss  0.873170, Average Loss  0.870368, Time  0.236357
2021-09-22 07:07:37.138421 : Epoch  3, Batch   1382, Loss  0.890101, Average Loss  0.870580, Time  0.236474
2021-09-22 07:07:39.789432 : Epoch  3, Batch   1383, Loss  0.847403, Average Loss  0.870422, Time  0.237715
2021-09-22 07:07:42.441652 : Epoch  3, Batch   1384, Loss  0.872530, Average Loss  0.870468, Time  0.237099
2021-09-22 07:07:45.081426 : Epoch  3, Batch   1385, Loss  0.876459, Average Loss  0.870570, Time  0.235993
2021-09-22 07:07:47.740633 : Epoch  3, Batch   1386, Loss  0.878352, Average Loss  0.870605, Time  0.236778
2021-09-22 07:07:50.392384 : Epoch  3, Batch   1387, Loss  0.875728, Average Loss  0.870580, Time  0.235862
2021-09-22 07:07:53.047039 : Epoch  3, Batch   1388, Loss  0.869966, Average Loss  0.870564, Time  0.236691
2021-09-22 07:12:03.264751 : CheckPoint: Validation Loss  0.00030685, Best Loss  0.00029452
2021-09-22 07:12:05.944857 : Epoch  3, Batch   1389, Loss  0.878228, Average Loss  0.870649, Time  0.265138
2021-09-22 07:12:08.603822 : Epoch  3, Batch   1390, Loss  0.853903, Average Loss  0.870422, Time  0.239582
2021-09-22 07:12:11.263399 : Epoch  3, Batch   1391, Loss  0.875316, Average Loss  0.870473, Time  0.237520
2021-09-22 07:12:13.916647 : Epoch  3, Batch   1392, Loss  0.885519, Average Loss  0.870554, Time  0.236524
2021-09-22 07:12:16.589832 : Epoch  3, Batch   1393, Loss  0.887429, Average Loss  0.870660, Time  0.237217
2021-09-22 07:12:19.237011 : Epoch  3, Batch   1394, Loss  0.899069, Average Loss  0.870838, Time  0.236588
2021-09-22 07:12:21.895404 : Epoch  3, Batch   1395, Loss  0.882796, Average Loss  0.870919, Time  0.236310
2021-09-22 07:12:24.560405 : Epoch  3, Batch   1396, Loss  0.870842, Average Loss  0.870818, Time  0.236431
2021-09-22 07:12:27.222382 : Epoch  3, Batch   1397, Loss  0.857526, Average Loss  0.870806, Time  0.235904
2021-09-22 07:12:29.866370 : Epoch  3, Batch   1398, Loss  0.897550, Average Loss  0.870969, Time  0.236758
2021-09-22 07:12:32.525394 : Epoch  3, Batch   1399, Loss  0.861563, Average Loss  0.871031, Time  0.236669
2021-09-22 07:12:35.184935 : Epoch  3, Batch   1400, Loss  0.884298, Average Loss  0.871140, Time  0.236445
2021-09-22 07:12:37.830392 : Epoch  3, Batch   1401, Loss  0.873952, Average Loss  0.871105, Time  0.235844
2021-09-22 07:12:40.490081 : Epoch  3, Batch   1402, Loss  0.869405, Average Loss  0.871127, Time  0.239929
2021-09-22 07:12:43.142688 : Epoch  3, Batch   1403, Loss  0.878465, Average Loss  0.871226, Time  0.236050
2021-09-22 07:12:45.795323 : Epoch  3, Batch   1404, Loss  0.866654, Average Loss  0.871196, Time  0.236527
2021-09-22 07:12:48.454260 : Epoch  3, Batch   1405, Loss  0.857216, Average Loss  0.871088, Time  0.235934
2021-09-22 07:12:51.160867 : Epoch  3, Batch   1406, Loss  0.877242, Average Loss  0.871094, Time  0.236137
2021-09-22 07:12:53.812397 : Epoch  3, Batch   1407, Loss  0.878086, Average Loss  0.871239, Time  0.236037
2021-09-22 07:12:56.470423 : Epoch  3, Batch   1408, Loss  0.874471, Average Loss  0.871312, Time  0.235736
2021-09-22 07:12:59.117943 : Epoch  3, Batch   1409, Loss  0.873303, Average Loss  0.871350, Time  0.236405
2021-09-22 07:13:01.781088 : Epoch  3, Batch   1410, Loss  0.888820, Average Loss  0.871491, Time  0.236583
2021-09-22 07:13:04.444921 : Epoch  3, Batch   1411, Loss  0.848007, Average Loss  0.871253, Time  0.236612
2021-09-22 07:13:07.110395 : Epoch  3, Batch   1412, Loss  0.870873, Average Loss  0.871295, Time  0.237547
2021-09-22 07:13:09.750340 : Epoch  3, Batch   1413, Loss  0.866010, Average Loss  0.871298, Time  0.236114
2021-09-22 07:13:12.405456 : Epoch  3, Batch   1414, Loss  0.884184, Average Loss  0.871307, Time  0.237808
2021-09-22 07:13:15.062942 : Epoch  3, Batch   1415, Loss  0.872030, Average Loss  0.871357, Time  0.236446
2021-09-22 07:13:17.716600 : Epoch  3, Batch   1416, Loss  0.867284, Average Loss  0.871284, Time  0.240871
2021-09-22 07:13:20.424985 : Epoch  3, Batch   1417, Loss  0.878972, Average Loss  0.871302, Time  0.236656
2021-09-22 07:13:23.077848 : Epoch  3, Batch   1418, Loss  0.868518, Average Loss  0.871344, Time  0.236480
2021-09-22 07:13:25.729205 : Epoch  3, Batch   1419, Loss  0.877226, Average Loss  0.871404, Time  0.235943
2021-09-22 07:13:28.378899 : Epoch  3, Batch   1420, Loss  0.882495, Average Loss  0.871443, Time  0.236343
2021-09-22 07:13:31.049001 : Epoch  3, Batch   1421, Loss  0.876458, Average Loss  0.871499, Time  0.235941
2021-09-22 07:13:33.694312 : Epoch  3, Batch   1422, Loss  0.863140, Average Loss  0.871549, Time  0.236935
2021-09-22 07:13:36.364887 : Epoch  3, Batch   1423, Loss  0.857984, Average Loss  0.871440, Time  0.235603
2021-09-22 07:13:39.026860 : Epoch  3, Batch   1424, Loss  0.860595, Average Loss  0.871459, Time  0.236819
2021-09-22 07:13:41.680111 : Epoch  3, Batch   1425, Loss  0.876322, Average Loss  0.871429, Time  0.237008
2021-09-22 07:13:44.334967 : Epoch  3, Batch   1426, Loss  0.854205, Average Loss  0.871270, Time  0.236591
2021-09-22 07:13:46.986849 : Epoch  3, Batch   1427, Loss  0.875277, Average Loss  0.871308, Time  0.236958
2021-09-22 07:13:49.641634 : Epoch  3, Batch   1428, Loss  0.889708, Average Loss  0.871448, Time  0.235984
2021-09-22 07:13:52.297563 : Epoch  3, Batch   1429, Loss  0.866829, Average Loss  0.871428, Time  0.235930
2021-09-22 07:13:54.957877 : Epoch  3, Batch   1430, Loss  0.857329, Average Loss  0.871452, Time  0.236392
2021-09-22 07:13:57.608962 : Epoch  3, Batch   1431, Loss  0.859713, Average Loss  0.871361, Time  0.237191
2021-09-22 07:14:00.267681 : Epoch  3, Batch   1432, Loss  0.881220, Average Loss  0.871376, Time  0.237187
2021-09-22 07:14:02.928864 : Epoch  3, Batch   1433, Loss  0.864611, Average Loss  0.871437, Time  0.236192
2021-09-22 07:14:05.601932 : Epoch  3, Batch   1434, Loss  0.849400, Average Loss  0.871401, Time  0.238115
2021-09-22 07:14:08.263910 : Epoch  3, Batch   1435, Loss  0.842390, Average Loss  0.871252, Time  0.236770
2021-09-22 07:14:10.910477 : Epoch  3, Batch   1436, Loss  0.882460, Average Loss  0.871284, Time  0.237091
2021-09-22 07:14:13.552397 : Epoch  3, Batch   1437, Loss  0.864498, Average Loss  0.871208, Time  0.236557
2021-09-22 07:14:16.206082 : Epoch  3, Batch   1438, Loss  0.866993, Average Loss  0.871219, Time  0.237139
2021-09-22 07:14:18.846413 : Epoch  3, Batch   1439, Loss  0.888157, Average Loss  0.871268, Time  0.235817
2021-09-22 07:14:21.549400 : Epoch  3, Batch   1440, Loss  0.858305, Average Loss  0.871237, Time  0.236062
2021-09-22 07:14:24.203830 : Epoch  3, Batch   1441, Loss  0.876538, Average Loss  0.871290, Time  0.237206
2021-09-22 07:14:26.855047 : Epoch  3, Batch   1442, Loss  0.864083, Average Loss  0.871257, Time  0.236529
2021-09-22 07:14:29.512251 : Epoch  3, Batch   1443, Loss  0.872752, Average Loss  0.871221, Time  0.237229
2021-09-22 07:14:32.166062 : Epoch  3, Batch   1444, Loss  0.858814, Average Loss  0.871164, Time  0.237288
2021-09-22 07:14:34.818002 : Epoch  3, Batch   1445, Loss  0.863009, Average Loss  0.871099, Time  0.236898
2021-09-22 07:14:37.457049 : Epoch  3, Batch   1446, Loss  0.864489, Average Loss  0.871079, Time  0.236545
2021-09-22 07:14:40.097419 : Epoch  3, Batch   1447, Loss  0.878300, Average Loss  0.871107, Time  0.236065
2021-09-22 07:14:42.786623 : Epoch  3, Batch   1448, Loss  0.889893, Average Loss  0.871353, Time  0.236829
2021-09-22 07:14:45.410902 : Epoch  3, Batch   1449, Loss  0.868069, Average Loss  0.871402, Time  0.235571
2021-09-22 07:14:48.051855 : Epoch  3, Batch   1450, Loss  0.873832, Average Loss  0.871336, Time  0.236493
2021-09-22 07:14:50.692291 : Epoch  3, Batch   1451, Loss  0.863247, Average Loss  0.871311, Time  0.236567
2021-09-22 07:14:53.343011 : Epoch  3, Batch   1452, Loss  0.886622, Average Loss  0.871320, Time  0.236696
2021-09-22 07:14:55.995430 : Epoch  3, Batch   1453, Loss  0.840144, Average Loss  0.871182, Time  0.235888
2021-09-22 07:14:58.659233 : Epoch  3, Batch   1454, Loss  0.857058, Average Loss  0.871090, Time  0.235931
2021-09-22 07:15:01.305184 : Epoch  3, Batch   1455, Loss  0.854450, Average Loss  0.870851, Time  0.236726
2021-09-22 07:15:03.961562 : Epoch  3, Batch   1456, Loss  0.869543, Average Loss  0.870778, Time  0.236175
2021-09-22 07:15:06.625950 : Epoch  3, Batch   1457, Loss  0.860028, Average Loss  0.870748, Time  0.237242
2021-09-22 07:15:09.276805 : Epoch  3, Batch   1458, Loss  0.860836, Average Loss  0.870723, Time  0.236305
2021-09-22 07:15:11.944010 : Epoch  3, Batch   1459, Loss  0.840259, Average Loss  0.870551, Time  0.236730
2021-09-22 07:15:14.584276 : Epoch  3, Batch   1460, Loss  0.876331, Average Loss  0.870644, Time  0.237642
2021-09-22 07:15:17.232685 : Epoch  3, Batch   1461, Loss  0.878821, Average Loss  0.870696, Time  0.235963
2021-09-22 07:15:19.874261 : Epoch  3, Batch   1462, Loss  0.868591, Average Loss  0.870733, Time  0.236558
2021-09-22 07:15:22.539412 : Epoch  3, Batch   1463, Loss  0.869912, Average Loss  0.870705, Time  0.236317
2021-09-22 07:15:25.189169 : Epoch  3, Batch   1464, Loss  0.872015, Average Loss  0.870700, Time  0.236885
2021-09-22 07:15:27.836237 : Epoch  3, Batch   1465, Loss  0.859226, Average Loss  0.870742, Time  0.236017
2021-09-22 07:15:30.496402 : Epoch  3, Batch   1466, Loss  0.868646, Average Loss  0.870727, Time  0.236020
2021-09-22 07:15:33.146416 : Epoch  3, Batch   1467, Loss  0.857166, Average Loss  0.870620, Time  0.236040
2021-09-22 07:15:35.808816 : Epoch  3, Batch   1468, Loss  0.846844, Average Loss  0.870426, Time  0.237699
2021-09-22 07:15:38.455044 : Epoch  3, Batch   1469, Loss  0.897707, Average Loss  0.870523, Time  0.236407
2021-09-22 07:15:41.105381 : Epoch  3, Batch   1470, Loss  0.862776, Average Loss  0.870484, Time  0.236587
2021-09-22 07:15:43.749819 : Epoch  3, Batch   1471, Loss  0.863177, Average Loss  0.870495, Time  0.236796
2021-09-22 07:15:46.384420 : Epoch  3, Batch   1472, Loss  0.875457, Average Loss  0.870520, Time  0.236221
2021-09-22 07:15:49.039397 : Epoch  3, Batch   1473, Loss  0.873267, Average Loss  0.870622, Time  0.236595
2021-09-22 07:15:51.690424 : Epoch  3, Batch   1474, Loss  0.868595, Average Loss  0.870613, Time  0.236424
2021-09-22 07:15:54.358410 : Epoch  3, Batch   1475, Loss  0.850642, Average Loss  0.870612, Time  0.236467
2021-09-22 07:15:57.008938 : Epoch  3, Batch   1476, Loss  0.868174, Average Loss  0.870696, Time  0.236575
2021-09-22 07:15:59.658035 : Epoch  3, Batch   1477, Loss  0.887522, Average Loss  0.870694, Time  0.236273
2021-09-22 07:16:02.311640 : Epoch  3, Batch   1478, Loss  0.866345, Average Loss  0.870630, Time  0.236302
2021-09-22 07:16:04.962343 : Epoch  3, Batch   1479, Loss  0.904321, Average Loss  0.870742, Time  0.236883
2021-09-22 07:16:07.634862 : Epoch  3, Batch   1480, Loss  0.878606, Average Loss  0.870829, Time  0.237657
2021-09-22 07:16:10.281568 : Epoch  3, Batch   1481, Loss  0.883361, Average Loss  0.870888, Time  0.236165
2021-09-22 07:16:12.933329 : Epoch  3, Batch   1482, Loss  0.860675, Average Loss  0.870782, Time  0.238212
2021-09-22 07:16:15.604426 : Epoch  3, Batch   1483, Loss  0.881901, Average Loss  0.870910, Time  0.237126
2021-09-22 07:16:18.249444 : Epoch  3, Batch   1484, Loss  0.872387, Average Loss  0.870942, Time  0.237221
2021-09-22 07:16:20.902826 : Epoch  3, Batch   1485, Loss  0.849698, Average Loss  0.870868, Time  0.237091
2021-09-22 07:16:23.565237 : Epoch  3, Batch   1486, Loss  0.866288, Average Loss  0.870926, Time  0.236796
2021-09-22 07:16:26.220217 : Epoch  3, Batch   1487, Loss  0.874608, Average Loss  0.870961, Time  0.236984
2021-09-22 07:16:28.864440 : Epoch  3, Batch   1488, Loss  0.875281, Average Loss  0.871000, Time  0.236648
2021-09-22 07:20:38.564578 : CheckPoint: Validation Loss  0.00029765, Best Loss  0.00029452
2021-09-22 07:20:41.235254 : Epoch  3, Batch   1489, Loss  0.877263, Average Loss  0.870977, Time  0.264542
2021-09-22 07:20:43.876841 : Epoch  3, Batch   1490, Loss  0.838701, Average Loss  0.870849, Time  0.239374
2021-09-22 07:20:46.552313 : Epoch  3, Batch   1491, Loss  0.836142, Average Loss  0.870624, Time  0.237366
2021-09-22 07:20:49.220037 : Epoch  3, Batch   1492, Loss  0.853105, Average Loss  0.870524, Time  0.237489
2021-09-22 07:20:51.863386 : Epoch  3, Batch   1493, Loss  0.865323, Average Loss  0.870506, Time  0.236725
2021-09-22 07:20:54.528481 : Epoch  3, Batch   1494, Loss  0.862738, Average Loss  0.870465, Time  0.237414
2021-09-22 07:20:57.183092 : Epoch  3, Batch   1495, Loss  0.892960, Average Loss  0.870468, Time  0.236505
2021-09-22 07:20:59.859223 : Epoch  3, Batch   1496, Loss  0.867863, Average Loss  0.870481, Time  0.236406
2021-09-22 07:21:02.521952 : Epoch  3, Batch   1497, Loss  0.886749, Average Loss  0.870559, Time  0.236370
2021-09-22 07:21:05.179794 : Epoch  3, Batch   1498, Loss  0.872026, Average Loss  0.870554, Time  0.237247
2021-09-22 07:21:07.828046 : Epoch  3, Batch   1499, Loss  0.863063, Average Loss  0.870473, Time  0.236333
2021-09-22 07:21:10.473148 : Epoch  3, Batch   1500, Loss  0.848154, Average Loss  0.870397, Time  0.236644
2021-09-22 07:21:13.130272 : Epoch  3, Batch   1501, Loss  0.878467, Average Loss  0.870452, Time  0.235732
2021-09-22 07:21:15.794646 : Epoch  3, Batch   1502, Loss  0.875421, Average Loss  0.870380, Time  0.236422
2021-09-22 07:21:18.452919 : Epoch  3, Batch   1503, Loss  0.861560, Average Loss  0.870418, Time  0.235689
2021-09-22 07:21:21.102946 : Epoch  3, Batch   1504, Loss  0.867931, Average Loss  0.870463, Time  0.236991
2021-09-22 07:21:23.758865 : Epoch  3, Batch   1505, Loss  0.867009, Average Loss  0.870445, Time  0.236219
2021-09-22 07:21:26.410020 : Epoch  3, Batch   1506, Loss  0.860335, Average Loss  0.870369, Time  0.236528
2021-09-22 07:21:29.066427 : Epoch  3, Batch   1507, Loss  0.868472, Average Loss  0.870296, Time  0.237037
2021-09-22 07:21:31.724859 : Epoch  3, Batch   1508, Loss  0.884832, Average Loss  0.870316, Time  0.237179
2021-09-22 07:21:34.393402 : Epoch  3, Batch   1509, Loss  0.849050, Average Loss  0.870296, Time  0.235832
2021-09-22 07:21:37.042408 : Epoch  3, Batch   1510, Loss  0.875876, Average Loss  0.870367, Time  0.235921
2021-09-22 07:21:39.695417 : Epoch  3, Batch   1511, Loss  0.878848, Average Loss  0.870397, Time  0.235832
2021-09-22 07:21:42.349738 : Epoch  3, Batch   1512, Loss  0.882607, Average Loss  0.870448, Time  0.236034
2021-09-22 07:21:44.993884 : Epoch  3, Batch   1513, Loss  0.864192, Average Loss  0.870377, Time  0.236262
2021-09-22 07:21:47.664982 : Epoch  3, Batch   1514, Loss  0.869148, Average Loss  0.870293, Time  0.236845
2021-09-22 07:21:50.333803 : Epoch  3, Batch   1515, Loss  0.880927, Average Loss  0.870293, Time  0.237757
2021-09-22 07:21:53.007420 : Epoch  3, Batch   1516, Loss  0.879389, Average Loss  0.870335, Time  0.236044
2021-09-22 07:21:55.668034 : Epoch  3, Batch   1517, Loss  0.854320, Average Loss  0.870067, Time  0.237391
2021-09-22 07:21:58.314634 : Epoch  3, Batch   1518, Loss  0.883906, Average Loss  0.870186, Time  0.236486
2021-09-22 07:22:00.969025 : Epoch  3, Batch   1519, Loss  0.879339, Average Loss  0.870156, Time  0.236359
2021-09-22 07:22:03.618432 : Epoch  3, Batch   1520, Loss  0.872108, Average Loss  0.870169, Time  0.236549
2021-09-22 07:22:06.271846 : Epoch  3, Batch   1521, Loss  0.870973, Average Loss  0.870136, Time  0.236173
2021-09-22 07:22:08.923010 : Epoch  3, Batch   1522, Loss  0.871312, Average Loss  0.870159, Time  0.237292
2021-09-22 07:22:11.564118 : Epoch  3, Batch   1523, Loss  0.872983, Average Loss  0.870221, Time  0.235988
2021-09-22 07:22:14.221117 : Epoch  3, Batch   1524, Loss  0.867587, Average Loss  0.870147, Time  0.236091
2021-09-22 07:22:16.874998 : Epoch  3, Batch   1525, Loss  0.870089, Average Loss  0.870090, Time  0.236361
2021-09-22 07:22:19.529191 : Epoch  3, Batch   1526, Loss  0.890853, Average Loss  0.870241, Time  0.238725
2021-09-22 07:22:22.181957 : Epoch  3, Batch   1527, Loss  0.882324, Average Loss  0.870391, Time  0.235806
2021-09-22 07:22:24.829882 : Epoch  3, Batch   1528, Loss  0.878879, Average Loss  0.870397, Time  0.237356
2021-09-22 07:22:27.488842 : Epoch  3, Batch   1529, Loss  0.862532, Average Loss  0.870365, Time  0.237046
2021-09-22 07:22:30.161828 : Epoch  3, Batch   1530, Loss  0.865228, Average Loss  0.870348, Time  0.236813
2021-09-22 07:22:32.804896 : Epoch  3, Batch   1531, Loss  0.858954, Average Loss  0.870296, Time  0.235893
2021-09-22 07:22:35.465558 : Epoch  3, Batch   1532, Loss  0.856757, Average Loss  0.870252, Time  0.237226
2021-09-22 07:22:38.170036 : Epoch  3, Batch   1533, Loss  0.878911, Average Loss  0.870373, Time  0.236286
2021-09-22 07:22:40.875852 : Epoch  3, Batch   1534, Loss  0.844558, Average Loss  0.870256, Time  0.235817
2021-09-22 07:22:43.513965 : Epoch  3, Batch   1535, Loss  0.865676, Average Loss  0.870126, Time  0.236937
2021-09-22 07:22:46.185063 : Epoch  3, Batch   1536, Loss  0.878860, Average Loss  0.870212, Time  0.236590
2021-09-22 07:22:48.852226 : Epoch  3, Batch   1537, Loss  0.865014, Average Loss  0.870094, Time  0.238315
2021-09-22 07:22:51.511404 : Epoch  3, Batch   1538, Loss  0.860600, Average Loss  0.870077, Time  0.236255
2021-09-22 07:22:54.168925 : Epoch  3, Batch   1539, Loss  0.862799, Average Loss  0.870049, Time  0.237479
2021-09-22 07:22:56.852215 : Epoch  3, Batch   1540, Loss  0.844499, Average Loss  0.869920, Time  0.237423
2021-09-22 07:22:59.504001 : Epoch  3, Batch   1541, Loss  0.888630, Average Loss  0.869880, Time  0.237306
2021-09-22 07:23:02.164637 : Epoch  3, Batch   1542, Loss  0.866895, Average Loss  0.869894, Time  0.236468
2021-09-22 07:23:04.821571 : Epoch  3, Batch   1543, Loss  0.875561, Average Loss  0.869928, Time  0.237112
2021-09-22 07:23:07.497912 : Epoch  3, Batch   1544, Loss  0.876523, Average Loss  0.869926, Time  0.237264
2021-09-22 07:23:10.165965 : Epoch  3, Batch   1545, Loss  0.859248, Average Loss  0.869857, Time  0.236335
2021-09-22 07:23:12.822276 : Epoch  3, Batch   1546, Loss  0.856103, Average Loss  0.869759, Time  0.235993
2021-09-22 07:23:15.490096 : Epoch  3, Batch   1547, Loss  0.891639, Average Loss  0.869938, Time  0.237129
2021-09-22 07:23:18.165060 : Epoch  3, Batch   1548, Loss  0.868587, Average Loss  0.869974, Time  0.241065
2021-09-22 07:23:20.827022 : Epoch  3, Batch   1549, Loss  0.844437, Average Loss  0.869858, Time  0.236582
2021-09-22 07:23:23.501078 : Epoch  3, Batch   1550, Loss  0.872476, Average Loss  0.869914, Time  0.239254
2021-09-22 07:23:26.165279 : Epoch  3, Batch   1551, Loss  0.872564, Average Loss  0.869912, Time  0.238014
2021-09-22 07:23:28.832000 : Epoch  3, Batch   1552, Loss  0.875808, Average Loss  0.869972, Time  0.236058
2021-09-22 07:23:31.501891 : Epoch  3, Batch   1553, Loss  0.843728, Average Loss  0.869859, Time  0.239507
2021-09-22 07:23:34.164062 : Epoch  3, Batch   1554, Loss  0.853370, Average Loss  0.869844, Time  0.237915
2021-09-22 07:23:36.837893 : Epoch  3, Batch   1555, Loss  0.870307, Average Loss  0.869745, Time  0.237279
2021-09-22 07:23:39.514729 : Epoch  3, Batch   1556, Loss  0.874325, Average Loss  0.869819, Time  0.238932
2021-09-22 07:23:42.218033 : Epoch  3, Batch   1557, Loss  0.847515, Average Loss  0.869814, Time  0.237034
2021-09-22 07:23:44.877859 : Epoch  3, Batch   1558, Loss  0.863209, Average Loss  0.869799, Time  0.236949
2021-09-22 07:23:47.548847 : Epoch  3, Batch   1559, Loss  0.881554, Average Loss  0.869865, Time  0.237297
2021-09-22 07:23:50.217486 : Epoch  3, Batch   1560, Loss  0.857273, Average Loss  0.869845, Time  0.238575
2021-09-22 07:23:52.877844 : Epoch  3, Batch   1561, Loss  0.874035, Average Loss  0.869840, Time  0.236860
2021-09-22 07:23:55.530911 : Epoch  3, Batch   1562, Loss  0.881625, Average Loss  0.869987, Time  0.236117
2021-09-22 07:23:58.195245 : Epoch  3, Batch   1563, Loss  0.880035, Average Loss  0.869976, Time  0.235987
2021-09-22 07:24:00.865418 : Epoch  3, Batch   1564, Loss  0.871120, Average Loss  0.869988, Time  0.237532
2021-09-22 07:24:03.539047 : Epoch  3, Batch   1565, Loss  0.879652, Average Loss  0.870045, Time  0.237963
2021-09-22 07:24:06.186154 : Epoch  3, Batch   1566, Loss  0.889653, Average Loss  0.870085, Time  0.236776
2021-09-22 07:24:08.866412 : Epoch  3, Batch   1567, Loss  0.867857, Average Loss  0.870118, Time  0.235745
2021-09-22 07:24:11.536000 : Epoch  3, Batch   1568, Loss  0.875430, Average Loss  0.870122, Time  0.236559
2021-09-22 07:24:14.245054 : Epoch  3, Batch   1569, Loss  0.865632, Average Loss  0.870040, Time  0.238671
2021-09-22 07:24:16.917923 : Epoch  3, Batch   1570, Loss  0.861540, Average Loss  0.869965, Time  0.237347
2021-09-22 07:24:19.568074 : Epoch  3, Batch   1571, Loss  0.864653, Average Loss  0.869786, Time  0.237264
2021-09-22 07:24:22.222430 : Epoch  3, Batch   1572, Loss  0.870458, Average Loss  0.869843, Time  0.236097
2021-09-22 07:24:24.875296 : Epoch  3, Batch   1573, Loss  0.875041, Average Loss  0.869784, Time  0.236644
2021-09-22 07:24:27.531358 : Epoch  3, Batch   1574, Loss  0.872135, Average Loss  0.869705, Time  0.236100
2021-09-22 07:24:30.173606 : Epoch  3, Batch   1575, Loss  0.846135, Average Loss  0.869611, Time  0.236172
2021-09-22 07:24:32.833264 : Epoch  3, Batch   1576, Loss  0.875777, Average Loss  0.869615, Time  0.237399
2021-09-22 07:24:35.500164 : Epoch  3, Batch   1577, Loss  0.868668, Average Loss  0.869564, Time  0.238014
2021-09-22 07:24:38.150011 : Epoch  3, Batch   1578, Loss  0.853497, Average Loss  0.869528, Time  0.238201
2021-09-22 07:24:40.807008 : Epoch  3, Batch   1579, Loss  0.870663, Average Loss  0.869497, Time  0.236597
2021-09-22 07:24:43.463028 : Epoch  3, Batch   1580, Loss  0.870214, Average Loss  0.869538, Time  0.236246
2021-09-22 07:24:46.113853 : Epoch  3, Batch   1581, Loss  0.860689, Average Loss  0.869476, Time  0.235814
2021-09-22 07:24:48.756994 : Epoch  3, Batch   1582, Loss  0.897980, Average Loss  0.869515, Time  0.236756
2021-09-22 07:24:51.566075 : Epoch  3, Batch   1583, Loss  0.871699, Average Loss  0.869637, Time  0.236568
2021-09-22 07:24:54.218323 : Epoch  3, Batch   1584, Loss  0.859437, Average Loss  0.869571, Time  0.236071
2021-09-22 07:24:56.849501 : Epoch  3, Batch   1585, Loss  0.880914, Average Loss  0.869593, Time  0.238032
2021-09-22 07:24:59.506676 : Epoch  3, Batch   1586, Loss  0.854488, Average Loss  0.869474, Time  0.236461
2021-09-22 07:25:02.172924 : Epoch  3, Batch   1587, Loss  0.856206, Average Loss  0.869377, Time  0.237178
2021-09-22 07:25:04.825422 : Epoch  3, Batch   1588, Loss  0.873644, Average Loss  0.869395, Time  0.236395
2021-09-22 07:29:14.595749 : CheckPoint: Validation Loss  0.00030651, Best Loss  0.00029452
2021-09-22 07:29:17.252183 : Epoch  3, Batch   1589, Loss  0.877386, Average Loss  0.869391, Time  0.237142
2021-09-22 07:29:19.912912 : Epoch  3, Batch   1590, Loss  0.859134, Average Loss  0.869417, Time  0.237426
2021-09-22 07:29:22.569895 : Epoch  3, Batch   1591, Loss  0.881700, Average Loss  0.869449, Time  0.237177
2021-09-22 07:29:25.228602 : Epoch  3, Batch   1592, Loss  0.857356, Average Loss  0.869308, Time  0.237466
2021-09-22 07:29:27.885990 : Epoch  3, Batch   1593, Loss  0.870031, Average Loss  0.869221, Time  0.236577
2021-09-22 07:29:30.537149 : Epoch  3, Batch   1594, Loss  0.891380, Average Loss  0.869183, Time  0.236871
2021-09-22 07:29:33.190943 : Epoch  3, Batch   1595, Loss  0.861110, Average Loss  0.869074, Time  0.236248
2021-09-22 07:29:35.854191 : Epoch  3, Batch   1596, Loss  0.877221, Average Loss  0.869106, Time  0.236339
2021-09-22 07:29:38.511625 : Epoch  3, Batch   1597, Loss  0.847834, Average Loss  0.869058, Time  0.235887
2021-09-22 07:29:41.165909 : Epoch  3, Batch   1598, Loss  0.850144, Average Loss  0.868821, Time  0.237812
2021-09-22 07:29:43.829403 : Epoch  3, Batch   1599, Loss  0.846333, Average Loss  0.868744, Time  0.236368
2021-09-22 07:29:46.522463 : Epoch  3, Batch   1600, Loss  0.886078, Average Loss  0.868753, Time  0.237615
2021-09-22 07:29:49.177246 : Epoch  3, Batch   1601, Loss  0.877008, Average Loss  0.868769, Time  0.237702
2021-09-22 07:29:51.835378 : Epoch  3, Batch   1602, Loss  0.874698, Average Loss  0.868795, Time  0.236737
2021-09-22 07:29:54.496856 : Epoch  3, Batch   1603, Loss  0.856998, Average Loss  0.868688, Time  0.236697
2021-09-22 07:29:57.141619 : Epoch  3, Batch   1604, Loss  0.868953, Average Loss  0.868699, Time  0.237013
2021-09-22 07:29:59.802418 : Epoch  3, Batch   1605, Loss  0.859461, Average Loss  0.868710, Time  0.236408
2021-09-22 07:30:02.450062 : Epoch  3, Batch   1606, Loss  0.874237, Average Loss  0.868695, Time  0.236532
2021-09-22 07:30:05.106470 : Epoch  3, Batch   1607, Loss  0.880313, Average Loss  0.868707, Time  0.236284
2021-09-22 07:30:07.762415 : Epoch  3, Batch   1608, Loss  0.865507, Average Loss  0.868662, Time  0.240214
2021-09-22 07:30:10.416014 : Epoch  3, Batch   1609, Loss  0.871565, Average Loss  0.868653, Time  0.237211
2021-09-22 07:30:13.069926 : Epoch  3, Batch   1610, Loss  0.884361, Average Loss  0.868631, Time  0.236812
2021-09-22 07:30:15.718913 : Epoch  3, Batch   1611, Loss  0.882434, Average Loss  0.868803, Time  0.236042
2021-09-22 07:30:18.357613 : Epoch  3, Batch   1612, Loss  0.859690, Average Loss  0.868747, Time  0.236165
2021-09-22 07:30:21.000201 : Epoch  3, Batch   1613, Loss  0.887626, Average Loss  0.868855, Time  0.237282
2021-09-22 07:30:23.635604 : Epoch  3, Batch   1614, Loss  0.872048, Average Loss  0.868794, Time  0.235982
2021-09-22 07:30:26.286704 : Epoch  3, Batch   1615, Loss  0.882455, Average Loss  0.868846, Time  0.236552
2021-09-22 07:30:28.935921 : Epoch  3, Batch   1616, Loss  0.882958, Average Loss  0.868925, Time  0.236689
2021-09-22 07:30:31.583652 : Epoch  3, Batch   1617, Loss  0.877627, Average Loss  0.868918, Time  0.236354
2021-09-22 07:30:34.245154 : Epoch  3, Batch   1618, Loss  0.893695, Average Loss  0.869044, Time  0.236585
2021-09-22 07:30:36.920418 : Epoch  3, Batch   1619, Loss  0.870872, Average Loss  0.869012, Time  0.236608
2021-09-22 07:30:39.578414 : Epoch  3, Batch   1620, Loss  0.880980, Average Loss  0.869005, Time  0.236274
2021-09-22 07:30:42.236920 : Epoch  3, Batch   1621, Loss  0.881036, Average Loss  0.869028, Time  0.237529
2021-09-22 07:30:44.883876 : Epoch  3, Batch   1622, Loss  0.859686, Average Loss  0.869010, Time  0.237929
2021-09-22 07:30:47.554516 : Epoch  3, Batch   1623, Loss  0.864412, Average Loss  0.869042, Time  0.237479
2021-09-22 07:30:50.192014 : Epoch  3, Batch   1624, Loss  0.877585, Average Loss  0.869127, Time  0.237803
2021-09-22 07:30:52.835267 : Epoch  3, Batch   1625, Loss  0.895106, Average Loss  0.869221, Time  0.236183
2021-09-22 07:30:55.512965 : Epoch  3, Batch   1626, Loss  0.887249, Average Loss  0.869386, Time  0.251885
2021-09-22 07:30:58.171385 : Epoch  3, Batch   1627, Loss  0.859504, Average Loss  0.869308, Time  0.235942
2021-09-22 07:31:00.811062 : Epoch  3, Batch   1628, Loss  0.881035, Average Loss  0.869264, Time  0.236267
2021-09-22 07:31:03.454125 : Epoch  3, Batch   1629, Loss  0.878690, Average Loss  0.869324, Time  0.236374
2021-09-22 07:31:06.127097 : Epoch  3, Batch   1630, Loss  0.879574, Average Loss  0.869435, Time  0.236457
2021-09-22 07:31:08.771577 : Epoch  3, Batch   1631, Loss  0.871820, Average Loss  0.869495, Time  0.235830
2021-09-22 07:31:11.423543 : Epoch  3, Batch   1632, Loss  0.859635, Average Loss  0.869387, Time  0.237026
2021-09-22 07:31:14.061880 : Epoch  3, Batch   1633, Loss  0.869234, Average Loss  0.869411, Time  0.237052
2021-09-22 07:31:16.695832 : Epoch  3, Batch   1634, Loss  0.878343, Average Loss  0.869555, Time  0.236199
2021-09-22 07:31:19.319148 : Epoch  3, Batch   1635, Loss  0.866647, Average Loss  0.869677, Time  0.236143
2021-09-22 07:31:21.962244 : Epoch  3, Batch   1636, Loss  0.869199, Average Loss  0.869610, Time  0.236257
2021-09-22 07:31:24.610254 : Epoch  3, Batch   1637, Loss  0.855926, Average Loss  0.869567, Time  0.235481
2021-09-22 07:31:27.239977 : Epoch  3, Batch   1638, Loss  0.876030, Average Loss  0.869613, Time  0.236164
2021-09-22 07:31:29.880809 : Epoch  3, Batch   1639, Loss  0.881617, Average Loss  0.869580, Time  0.236792
2021-09-22 07:31:32.512325 : Epoch  3, Batch   1640, Loss  0.850323, Average Loss  0.869540, Time  0.236456
2021-09-22 07:31:35.157428 : Epoch  3, Batch   1641, Loss  0.860564, Average Loss  0.869460, Time  0.236375
2021-09-22 07:31:37.798837 : Epoch  3, Batch   1642, Loss  0.876432, Average Loss  0.869522, Time  0.237262
2021-09-22 07:31:40.475945 : Epoch  3, Batch   1643, Loss  0.864201, Average Loss  0.869479, Time  0.236184
2021-09-22 07:31:43.122048 : Epoch  3, Batch   1644, Loss  0.883991, Average Loss  0.869605, Time  0.236811
2021-09-22 07:31:45.773879 : Epoch  3, Batch   1645, Loss  0.862738, Average Loss  0.869604, Time  0.236391
2021-09-22 07:31:48.430509 : Epoch  3, Batch   1646, Loss  0.893161, Average Loss  0.869747, Time  0.237866
2021-09-22 07:31:51.081432 : Epoch  3, Batch   1647, Loss  0.880936, Average Loss  0.869760, Time  0.236211
2021-09-22 07:31:53.720798 : Epoch  3, Batch   1648, Loss  0.875385, Average Loss  0.869688, Time  0.236289
2021-09-22 07:31:56.370849 : Epoch  3, Batch   1649, Loss  0.840128, Average Loss  0.869548, Time  0.237763
2021-09-22 07:31:59.010837 : Epoch  3, Batch   1650, Loss  0.895339, Average Loss  0.869655, Time  0.236506
2021-09-22 07:32:01.670433 : Epoch  3, Batch   1651, Loss  0.871469, Average Loss  0.869697, Time  0.235868
2021-09-22 07:32:04.396807 : Epoch  3, Batch   1652, Loss  0.875717, Average Loss  0.869642, Time  0.236663
2021-09-22 07:32:07.032849 : Epoch  3, Batch   1653, Loss  0.870245, Average Loss  0.869792, Time  0.236966
2021-09-22 07:32:09.675866 : Epoch  3, Batch   1654, Loss  0.878940, Average Loss  0.869902, Time  0.236175
2021-09-22 07:32:12.313481 : Epoch  3, Batch   1655, Loss  0.872658, Average Loss  0.869993, Time  0.235953
2021-09-22 07:32:14.952416 : Epoch  3, Batch   1656, Loss  0.885778, Average Loss  0.870074, Time  0.236418
2021-09-22 07:32:17.603840 : Epoch  3, Batch   1657, Loss  0.872022, Average Loss  0.870134, Time  0.235838
2021-09-22 07:32:20.244667 : Epoch  3, Batch   1658, Loss  0.880656, Average Loss  0.870233, Time  0.235942
2021-09-22 07:32:22.891946 : Epoch  3, Batch   1659, Loss  0.862863, Average Loss  0.870346, Time  0.237595
2021-09-22 07:32:25.525414 : Epoch  3, Batch   1660, Loss  0.878310, Average Loss  0.870356, Time  0.236460
2021-09-22 07:32:28.158791 : Epoch  3, Batch   1661, Loss  0.867660, Average Loss  0.870300, Time  0.235982
2021-09-22 07:32:30.798060 : Epoch  3, Batch   1662, Loss  0.879799, Average Loss  0.870356, Time  0.236267
2021-09-22 07:32:33.430916 : Epoch  3, Batch   1663, Loss  0.876389, Average Loss  0.870389, Time  0.235914
2021-09-22 07:32:36.086129 : Epoch  3, Batch   1664, Loss  0.851088, Average Loss  0.870284, Time  0.236331
2021-09-22 07:32:38.729029 : Epoch  3, Batch   1665, Loss  0.875830, Average Loss  0.870367, Time  0.236898
2021-09-22 07:32:41.385818 : Epoch  3, Batch   1666, Loss  0.899086, Average Loss  0.870519, Time  0.237813
2021-09-22 07:32:44.021038 : Epoch  3, Batch   1667, Loss  0.848811, Average Loss  0.870478, Time  0.236611
2021-09-22 07:32:46.657441 : Epoch  3, Batch   1668, Loss  0.872048, Average Loss  0.870604, Time  0.236503
2021-09-22 07:32:49.289105 : Epoch  3, Batch   1669, Loss  0.894065, Average Loss  0.870585, Time  0.236349
2021-09-22 07:32:51.920433 : Epoch  3, Batch   1670, Loss  0.865889, Average Loss  0.870601, Time  0.236851
2021-09-22 07:32:54.570087 : Epoch  3, Batch   1671, Loss  0.860927, Average Loss  0.870590, Time  0.236496
2021-09-22 07:32:57.234203 : Epoch  3, Batch   1672, Loss  0.870059, Average Loss  0.870563, Time  0.238368
2021-09-22 07:32:59.883922 : Epoch  3, Batch   1673, Loss  0.841015, Average Loss  0.870401, Time  0.236900
2021-09-22 07:33:02.542057 : Epoch  3, Batch   1674, Loss  0.847849, Average Loss  0.870298, Time  0.236033
2021-09-22 07:33:05.201952 : Epoch  3, Batch   1675, Loss  0.883953, Average Loss  0.870464, Time  0.236071
2021-09-22 07:33:07.841233 : Epoch  3, Batch   1676, Loss  0.873476, Average Loss  0.870491, Time  0.236542
2021-09-22 07:33:10.497992 : Epoch  3, Batch   1677, Loss  0.879337, Average Loss  0.870450, Time  0.236332
2021-09-22 07:33:13.124170 : Epoch  3, Batch   1678, Loss  0.883155, Average Loss  0.870534, Time  0.236928
2021-09-22 07:33:15.772401 : Epoch  3, Batch   1679, Loss  0.879922, Average Loss  0.870412, Time  0.237863
2021-09-22 07:33:18.431440 : Epoch  3, Batch   1680, Loss  0.863890, Average Loss  0.870338, Time  0.238227
2021-09-22 07:33:21.080837 : Epoch  3, Batch   1681, Loss  0.870876, Average Loss  0.870276, Time  0.239212
2021-09-22 07:33:23.722663 : Epoch  3, Batch   1682, Loss  0.889946, Average Loss  0.870422, Time  0.237459
2021-09-22 07:33:26.424888 : Epoch  3, Batch   1683, Loss  0.886305, Average Loss  0.870444, Time  0.235991
2021-09-22 07:33:29.072853 : Epoch  3, Batch   1684, Loss  0.863208, Average Loss  0.870398, Time  0.236762
2021-09-22 07:33:31.721861 : Epoch  3, Batch   1685, Loss  0.857789, Average Loss  0.870439, Time  0.236649
2021-09-22 07:33:34.369427 : Epoch  3, Batch   1686, Loss  0.887358, Average Loss  0.870544, Time  0.236003
2021-09-22 07:33:37.017845 : Epoch  3, Batch   1687, Loss  0.886607, Average Loss  0.870604, Time  0.236464
2021-09-22 07:33:39.668049 : Epoch  3, Batch   1688, Loss  0.867914, Average Loss  0.870567, Time  0.237551
2021-09-22 07:37:48.392079 : CheckPoint: Validation Loss  0.00030136, Best Loss  0.00029452
2021-09-22 07:37:51.069253 : Epoch  3, Batch   1689, Loss  0.886055, Average Loss  0.870611, Time  0.237764
2021-09-22 07:37:53.720021 : Epoch  3, Batch   1690, Loss  0.878656, Average Loss  0.870811, Time  0.235903
2021-09-22 07:37:56.362555 : Epoch  3, Batch   1691, Loss  0.886526, Average Loss  0.871063, Time  0.236038
2021-09-22 07:37:59.012632 : Epoch  3, Batch   1692, Loss  0.875070, Average Loss  0.871173, Time  0.236638
2021-09-22 07:38:01.660398 : Epoch  3, Batch   1693, Loss  0.862589, Average Loss  0.871159, Time  0.236359
2021-09-22 07:38:04.318684 : Epoch  3, Batch   1694, Loss  0.876129, Average Loss  0.871226, Time  0.236246
2021-09-22 07:38:06.965892 : Epoch  3, Batch   1695, Loss  0.873245, Average Loss  0.871128, Time  0.236230
2021-09-22 07:38:09.613803 : Epoch  3, Batch   1696, Loss  0.860186, Average Loss  0.871089, Time  0.236917
2021-09-22 07:38:12.265286 : Epoch  3, Batch   1697, Loss  0.853974, Average Loss  0.870925, Time  0.236329
2021-09-22 07:38:14.907429 : Epoch  3, Batch   1698, Loss  0.874743, Average Loss  0.870939, Time  0.235872
2021-09-22 07:38:17.546424 : Epoch  3, Batch   1699, Loss  0.878211, Average Loss  0.871015, Time  0.236892
2021-09-22 07:38:20.233383 : Epoch  3, Batch   1700, Loss  0.870237, Average Loss  0.871125, Time  0.237312
2021-09-22 07:38:22.895370 : Epoch  3, Batch   1701, Loss  0.871942, Average Loss  0.871092, Time  0.237415
2021-09-22 07:38:25.554389 : Epoch  3, Batch   1702, Loss  0.855249, Average Loss  0.870992, Time  0.237284
2021-09-22 07:38:28.198870 : Epoch  3, Batch   1703, Loss  0.871882, Average Loss  0.871043, Time  0.236496
2021-09-22 07:38:30.842014 : Epoch  3, Batch   1704, Loss  0.874265, Average Loss  0.871075, Time  0.237020
2021-09-22 07:38:33.498920 : Epoch  3, Batch   1705, Loss  0.854549, Average Loss  0.871012, Time  0.237320
2021-09-22 07:38:36.152417 : Epoch  3, Batch   1706, Loss  0.868263, Average Loss  0.871052, Time  0.235852
2021-09-22 07:38:38.794251 : Epoch  3, Batch   1707, Loss  0.892189, Average Loss  0.871171, Time  0.236534
2021-09-22 07:38:41.465411 : Epoch  3, Batch   1708, Loss  0.851209, Average Loss  0.871003, Time  0.236827
2021-09-22 07:38:44.119403 : Epoch  3, Batch   1709, Loss  0.872820, Average Loss  0.871121, Time  0.236828
2021-09-22 07:38:46.806416 : Epoch  3, Batch   1710, Loss  0.849710, Average Loss  0.870991, Time  0.238858
2021-09-22 07:38:49.460215 : Epoch  3, Batch   1711, Loss  0.876607, Average Loss  0.870979, Time  0.236596
2021-09-22 07:38:52.108652 : Epoch  3, Batch   1712, Loss  0.855589, Average Loss  0.870844, Time  0.236152
2021-09-22 07:38:54.759878 : Epoch  3, Batch   1713, Loss  0.877484, Average Loss  0.870911, Time  0.236403
2021-09-22 07:38:57.417445 : Epoch  3, Batch   1714, Loss  0.858091, Average Loss  0.870855, Time  0.236931
2021-09-22 07:39:00.061497 : Epoch  3, Batch   1715, Loss  0.863328, Average Loss  0.870768, Time  0.237568
2021-09-22 07:39:02.699809 : Epoch  3, Batch   1716, Loss  0.880648, Average Loss  0.870774, Time  0.236410
2021-09-22 07:39:05.353235 : Epoch  3, Batch   1717, Loss  0.864902, Average Loss  0.870827, Time  0.235942
2021-09-22 07:39:08.002090 : Epoch  3, Batch   1718, Loss  0.871612, Average Loss  0.870765, Time  0.238101
2021-09-22 07:39:10.682214 : Epoch  3, Batch   1719, Loss  0.885144, Average Loss  0.870794, Time  0.236070
2021-09-22 07:39:13.326397 : Epoch  3, Batch   1720, Loss  0.877697, Average Loss  0.870822, Time  0.236418
2021-09-22 07:39:15.976870 : Epoch  3, Batch   1721, Loss  0.843323, Average Loss  0.870684, Time  0.235744
2021-09-22 07:39:18.612966 : Epoch  3, Batch   1722, Loss  0.867977, Average Loss  0.870667, Time  0.236315
2021-09-22 07:39:21.258992 : Epoch  3, Batch   1723, Loss  0.865291, Average Loss  0.870629, Time  0.239583
2021-09-22 07:39:23.937435 : Epoch  3, Batch   1724, Loss  0.860040, Average Loss  0.870591, Time  0.236659
2021-09-22 07:39:26.568418 : Epoch  3, Batch   1725, Loss  0.855341, Average Loss  0.870517, Time  0.236928
2021-09-22 07:39:29.212069 : Epoch  3, Batch   1726, Loss  0.842502, Average Loss  0.870276, Time  0.236107
2021-09-22 07:39:31.874981 : Epoch  3, Batch   1727, Loss  0.891481, Average Loss  0.870321, Time  0.242469
2021-09-22 07:39:34.553920 : Epoch  3, Batch   1728, Loss  0.847348, Average Loss  0.870164, Time  0.238431
2021-09-22 07:39:37.191426 : Epoch  3, Batch   1729, Loss  0.886949, Average Loss  0.870286, Time  0.235689
2021-09-22 07:39:39.883820 : Epoch  3, Batch   1730, Loss  0.868520, Average Loss  0.870302, Time  0.239999
2021-09-22 07:39:42.542966 : Epoch  3, Batch   1731, Loss  0.888580, Average Loss  0.870450, Time  0.237062
2021-09-22 07:39:45.195453 : Epoch  3, Batch   1732, Loss  0.876345, Average Loss  0.870548, Time  0.236668
2021-09-22 07:39:47.842070 : Epoch  3, Batch   1733, Loss  0.879077, Average Loss  0.870549, Time  0.237908
2021-09-22 07:39:50.478201 : Epoch  3, Batch   1734, Loss  0.856973, Average Loss  0.870611, Time  0.236735
2021-09-22 07:39:53.115054 : Epoch  3, Batch   1735, Loss  0.878567, Average Loss  0.870676, Time  0.236834
2021-09-22 07:39:55.802891 : Epoch  3, Batch   1736, Loss  0.876417, Average Loss  0.870663, Time  0.236510
2021-09-22 07:39:58.448139 : Epoch  3, Batch   1737, Loss  0.874703, Average Loss  0.870712, Time  0.235712
2021-09-22 07:40:01.090933 : Epoch  3, Batch   1738, Loss  0.882815, Average Loss  0.870823, Time  0.237018
2021-09-22 07:40:03.742697 : Epoch  3, Batch   1739, Loss  0.856718, Average Loss  0.870793, Time  0.236518
2021-09-22 07:40:06.395957 : Epoch  3, Batch   1740, Loss  0.876431, Average Loss  0.870952, Time  0.236530
2021-09-22 07:40:09.044009 : Epoch  3, Batch   1741, Loss  0.864312, Average Loss  0.870831, Time  0.235978
2021-09-22 07:40:11.692933 : Epoch  3, Batch   1742, Loss  0.871514, Average Loss  0.870854, Time  0.237111
2021-09-22 07:40:14.322838 : Epoch  3, Batch   1743, Loss  0.870778, Average Loss  0.870830, Time  0.235626
2021-09-22 07:40:16.967432 : Epoch  3, Batch   1744, Loss  0.848537, Average Loss  0.870690, Time  0.236315
2021-09-22 07:40:19.604332 : Epoch  3, Batch   1745, Loss  0.872086, Average Loss  0.870754, Time  0.236350
2021-09-22 07:40:22.239365 : Epoch  3, Batch   1746, Loss  0.866075, Average Loss  0.870804, Time  0.239340
2021-09-22 07:40:24.881059 : Epoch  3, Batch   1747, Loss  0.877749, Average Loss  0.870735, Time  0.235784
2021-09-22 07:40:27.520853 : Epoch  3, Batch   1748, Loss  0.882274, Average Loss  0.870803, Time  0.237633
2021-09-22 07:40:30.171059 : Epoch  3, Batch   1749, Loss  0.895388, Average Loss  0.871058, Time  0.236650
2021-09-22 07:40:32.821984 : Epoch  3, Batch   1750, Loss  0.845154, Average Loss  0.870921, Time  0.237572
2021-09-22 07:40:35.483862 : Epoch  3, Batch   1751, Loss  0.864284, Average Loss  0.870880, Time  0.236875
2021-09-22 07:40:38.130396 : Epoch  3, Batch   1752, Loss  0.868004, Average Loss  0.870841, Time  0.237697
2021-09-22 07:40:40.781407 : Epoch  3, Batch   1753, Loss  0.887843, Average Loss  0.871061, Time  0.237234
2021-09-22 07:40:43.439830 : Epoch  3, Batch   1754, Loss  0.884845, Average Loss  0.871219, Time  0.243806
2021-09-22 07:40:46.087402 : Epoch  3, Batch   1755, Loss  0.854910, Average Loss  0.871142, Time  0.236401
2021-09-22 07:40:48.736379 : Epoch  3, Batch   1756, Loss  0.858774, Average Loss  0.871064, Time  0.235868
2021-09-22 07:40:51.383403 : Epoch  3, Batch   1757, Loss  0.884783, Average Loss  0.871250, Time  0.235373
2021-09-22 07:40:54.028946 : Epoch  3, Batch   1758, Loss  0.845066, Average Loss  0.871160, Time  0.236573
2021-09-22 07:40:56.669399 : Epoch  3, Batch   1759, Loss  0.878745, Average Loss  0.871145, Time  0.235756
2021-09-22 07:40:59.310960 : Epoch  3, Batch   1760, Loss  0.875427, Average Loss  0.871236, Time  0.235696
2021-09-22 07:41:01.971660 : Epoch  3, Batch   1761, Loss  0.883202, Average Loss  0.871282, Time  0.237139
2021-09-22 07:41:04.614209 : Epoch  3, Batch   1762, Loss  0.864245, Average Loss  0.871195, Time  0.237173
2021-09-22 07:41:07.265411 : Epoch  3, Batch   1763, Loss  0.882955, Average Loss  0.871210, Time  0.236017
2021-09-22 07:41:09.903639 : Epoch  3, Batch   1764, Loss  0.867520, Average Loss  0.871192, Time  0.236417
2021-09-22 07:41:12.548896 : Epoch  3, Batch   1765, Loss  0.887731, Average Loss  0.871232, Time  0.236582
2021-09-22 07:41:15.187431 : Epoch  3, Batch   1766, Loss  0.864145, Average Loss  0.871105, Time  0.236017
2021-09-22 07:41:17.858996 : Epoch  3, Batch   1767, Loss  0.849072, Average Loss  0.871011, Time  0.237217
2021-09-22 07:41:20.513802 : Epoch  3, Batch   1768, Loss  0.854103, Average Loss  0.870904, Time  0.240855
2021-09-22 07:41:23.159037 : Epoch  3, Batch   1769, Loss  0.860564, Average Loss  0.870879, Time  0.236156
2021-09-22 07:41:25.859127 : Epoch  3, Batch   1770, Loss  0.882834, Average Loss  0.870985, Time  0.236705
2021-09-22 07:41:28.507948 : Epoch  3, Batch   1771, Loss  0.889178, Average Loss  0.871108, Time  0.237371
2021-09-22 07:41:31.162379 : Epoch  3, Batch   1772, Loss  0.871277, Average Loss  0.871112, Time  0.236044
2021-09-22 07:41:33.802027 : Epoch  3, Batch   1773, Loss  0.866707, Average Loss  0.871070, Time  0.237021
2021-09-22 07:41:36.445375 : Epoch  3, Batch   1774, Loss  0.883157, Average Loss  0.871125, Time  0.240980
2021-09-22 07:41:39.086119 : Epoch  3, Batch   1775, Loss  0.859697, Average Loss  0.871193, Time  0.236782
2021-09-22 07:41:41.743427 : Epoch  3, Batch   1776, Loss  0.870061, Average Loss  0.871165, Time  0.236940
2021-09-22 07:41:44.452268 : Epoch  3, Batch   1777, Loss  0.895777, Average Loss  0.871300, Time  0.236223
2021-09-22 07:41:47.091357 : Epoch  3, Batch   1778, Loss  0.872935, Average Loss  0.871397, Time  0.236995
2021-09-22 07:41:49.725999 : Epoch  3, Batch   1779, Loss  0.869170, Average Loss  0.871390, Time  0.236668
2021-09-22 07:41:51.019920 : Epoch  3, Batch   1780, Loss  0.847614, Average Loss  0.871277, Time  0.147588
2021-09-22 07:41:53.675423 : Epoch  3, Batch   1781, Loss  0.869813, Average Loss  0.871322, Time  0.242518
2021-09-22 07:41:56.318816 : Epoch  3, Batch   1782, Loss  0.854282, Average Loss  0.871104, Time  0.239273
2021-09-22 07:41:58.963967 : Epoch  3, Batch   1783, Loss  0.843375, Average Loss  0.870962, Time  0.236179
2021-09-22 07:42:01.607901 : Epoch  3, Batch   1784, Loss  0.873891, Average Loss  0.871035, Time  0.236861
2021-09-22 07:42:04.253848 : Epoch  3, Batch   1785, Loss  0.885461, Average Loss  0.871057, Time  0.236435
2021-09-22 07:42:06.880319 : Epoch  3, Batch   1786, Loss  0.870223, Average Loss  0.871136, Time  0.235654
2021-09-22 07:42:09.519852 : Epoch  3, Batch   1787, Loss  0.853867, Average Loss  0.871124, Time  0.236612
2021-09-22 07:42:12.157141 : Epoch  3, Batch   1788, Loss  0.877114, Average Loss  0.871142, Time  0.235974
2021-09-22 07:46:21.632753 : CheckPoint: Validation Loss  0.00029902, Best Loss  0.00029452
2021-09-22 07:46:24.290991 : Epoch  3, Batch   1789, Loss  0.854918, Average Loss  0.871029, Time  0.238205
2021-09-22 07:46:26.944955 : Epoch  3, Batch   1790, Loss  0.862833, Average Loss  0.871048, Time  0.236514
2021-09-22 07:46:29.588654 : Epoch  3, Batch   1791, Loss  0.892657, Average Loss  0.871103, Time  0.236135
2021-09-22 07:46:32.235042 : Epoch  3, Batch   1792, Loss  0.863834, Average Loss  0.871135, Time  0.236727
2021-09-22 07:46:34.886022 : Epoch  3, Batch   1793, Loss  0.869728, Average Loss  0.871134, Time  0.237388
2021-09-22 07:46:37.560060 : Epoch  3, Batch   1794, Loss  0.857407, Average Loss  0.870964, Time  0.247630
2021-09-22 07:46:40.218871 : Epoch  3, Batch   1795, Loss  0.869634, Average Loss  0.871006, Time  0.236782
2021-09-22 07:46:42.880836 : Epoch  3, Batch   1796, Loss  0.876001, Average Loss  0.871000, Time  0.236405
2021-09-22 07:46:45.539415 : Epoch  3, Batch   1797, Loss  0.884063, Average Loss  0.871181, Time  0.236132
2021-09-22 07:46:48.186829 : Epoch  3, Batch   1798, Loss  0.858747, Average Loss  0.871224, Time  0.236440
2021-09-22 07:46:50.833988 : Epoch  3, Batch   1799, Loss  0.880767, Average Loss  0.871397, Time  0.236267
2021-09-22 07:46:53.482051 : Epoch  3, Batch   1800, Loss  0.860427, Average Loss  0.871268, Time  0.236322
2021-09-22 07:46:56.144845 : Epoch  3, Batch   1801, Loss  0.882211, Average Loss  0.871294, Time  0.248986
2021-09-22 07:46:58.812353 : Epoch  3, Batch   1802, Loss  0.875293, Average Loss  0.871297, Time  0.236379
2021-09-22 07:47:01.512380 : Epoch  3, Batch   1803, Loss  0.872624, Average Loss  0.871375, Time  0.237811
2021-09-22 07:47:04.172662 : Epoch  3, Batch   1804, Loss  0.885270, Average Loss  0.871457, Time  0.235580
2021-09-22 07:47:06.835606 : Epoch  3, Batch   1805, Loss  0.869356, Average Loss  0.871506, Time  0.236899
2021-09-22 07:47:09.483434 : Epoch  3, Batch   1806, Loss  0.879889, Average Loss  0.871535, Time  0.236424
2021-09-22 07:47:12.144704 : Epoch  3, Batch   1807, Loss  0.869077, Average Loss  0.871479, Time  0.238660
2021-09-22 07:47:14.828451 : Epoch  3, Batch   1808, Loss  0.850324, Average Loss  0.871403, Time  0.236144
2021-09-22 07:47:17.515432 : Epoch  3, Batch   1809, Loss  0.877505, Average Loss  0.871432, Time  0.236451
2021-09-22 07:47:20.171835 : Epoch  3, Batch   1810, Loss  0.849879, Average Loss  0.871260, Time  0.239404
2021-09-22 07:47:22.825916 : Epoch  3, Batch   1811, Loss  0.863475, Average Loss  0.871165, Time  0.236676
2021-09-22 07:47:25.478427 : Epoch  3, Batch   1812, Loss  0.869942, Average Loss  0.871216, Time  0.236196
2021-09-22 07:47:28.141989 : Epoch  3, Batch   1813, Loss  0.868971, Average Loss  0.871123, Time  0.239039
2021-09-22 07:47:30.797059 : Epoch  3, Batch   1814, Loss  0.866560, Average Loss  0.871096, Time  0.238564
2021-09-22 07:47:33.445979 : Epoch  3, Batch   1815, Loss  0.900419, Average Loss  0.871185, Time  0.237921
2021-09-22 07:47:36.090982 : Epoch  3, Batch   1816, Loss  0.881491, Average Loss  0.871178, Time  0.235977
2021-09-22 07:47:38.736100 : Epoch  3, Batch   1817, Loss  0.863108, Average Loss  0.871106, Time  0.235975
2021-09-22 07:47:41.407042 : Epoch  3, Batch   1818, Loss  0.881877, Average Loss  0.871046, Time  0.237396
2021-09-22 07:47:44.068630 : Epoch  3, Batch   1819, Loss  0.857611, Average Loss  0.870980, Time  0.236761
2021-09-22 07:47:46.729808 : Epoch  3, Batch   1820, Loss  0.878294, Average Loss  0.870967, Time  0.236546
2021-09-22 07:47:49.380808 : Epoch  3, Batch   1821, Loss  0.854448, Average Loss  0.870834, Time  0.237832
2021-09-22 07:47:52.027389 : Epoch  3, Batch   1822, Loss  0.878184, Average Loss  0.870926, Time  0.236782
2021-09-22 07:47:54.692080 : Epoch  3, Batch   1823, Loss  0.858419, Average Loss  0.870896, Time  0.237249
2021-09-22 07:47:57.362066 : Epoch  3, Batch   1824, Loss  0.864881, Average Loss  0.870833, Time  0.242728
2021-09-22 07:48:00.021808 : Epoch  3, Batch   1825, Loss  0.859568, Average Loss  0.870655, Time  0.237134
2021-09-22 07:48:02.674991 : Epoch  3, Batch   1826, Loss  0.847959, Average Loss  0.870459, Time  0.236440
2021-09-22 07:48:05.330836 : Epoch  3, Batch   1827, Loss  0.895704, Average Loss  0.870640, Time  0.240633
2021-09-22 07:48:07.988800 : Epoch  3, Batch   1828, Loss  0.868906, Average Loss  0.870579, Time  0.238917
2021-09-22 07:48:10.639864 : Epoch  3, Batch   1829, Loss  0.868265, Average Loss  0.870527, Time  0.236437
2021-09-22 07:48:13.290922 : Epoch  3, Batch   1830, Loss  0.848128, Average Loss  0.870370, Time  0.238096
2021-09-22 07:48:15.960395 : Epoch  3, Batch   1831, Loss  0.870944, Average Loss  0.870365, Time  0.236662
2021-09-22 07:48:18.606835 : Epoch  3, Batch   1832, Loss  0.873962, Average Loss  0.870437, Time  0.236415
2021-09-22 07:48:21.259212 : Epoch  3, Batch   1833, Loss  0.864616, Average Loss  0.870414, Time  0.236876
2021-09-22 07:48:23.926019 : Epoch  3, Batch   1834, Loss  0.871121, Average Loss  0.870378, Time  0.236329
2021-09-22 07:48:26.567879 : Epoch  3, Batch   1835, Loss  0.905154, Average Loss  0.870570, Time  0.236286
2021-09-22 07:48:29.211020 : Epoch  3, Batch   1836, Loss  0.853191, Average Loss  0.870490, Time  0.236735
2021-09-22 07:48:31.883173 : Epoch  3, Batch   1837, Loss  0.883457, Average Loss  0.870628, Time  0.238314
2021-09-22 07:48:34.542113 : Epoch  3, Batch   1838, Loss  0.879438, Average Loss  0.870645, Time  0.236572
2021-09-22 07:48:37.194011 : Epoch  3, Batch   1839, Loss  0.864026, Average Loss  0.870557, Time  0.236899
2021-09-22 07:48:39.837394 : Epoch  3, Batch   1840, Loss  0.843781, Average Loss  0.870524, Time  0.236099
2021-09-22 07:48:42.479037 : Epoch  3, Batch   1841, Loss  0.853028, Average Loss  0.870487, Time  0.236053
2021-09-22 07:48:45.133407 : Epoch  3, Batch   1842, Loss  0.855725, Average Loss  0.870383, Time  0.236685
2021-09-22 07:48:47.795406 : Epoch  3, Batch   1843, Loss  0.870383, Average Loss  0.870414, Time  0.237212
2021-09-22 07:48:50.454055 : Epoch  3, Batch   1844, Loss  0.859901, Average Loss  0.870293, Time  0.236703
2021-09-22 07:48:53.098535 : Epoch  3, Batch   1845, Loss  0.866637, Average Loss  0.870313, Time  0.236196
2021-09-22 07:48:55.747857 : Epoch  3, Batch   1846, Loss  0.864286, Average Loss  0.870169, Time  0.235943
2021-09-22 07:48:58.397865 : Epoch  3, Batch   1847, Loss  0.876421, Average Loss  0.870146, Time  0.237596
2021-09-22 07:49:01.046813 : Epoch  3, Batch   1848, Loss  0.857364, Average Loss  0.870056, Time  0.236129
2021-09-22 07:49:03.691607 : Epoch  3, Batch   1849, Loss  0.884118, Average Loss  0.870276, Time  0.236617
2021-09-22 07:49:06.356052 : Epoch  3, Batch   1850, Loss  0.872788, Average Loss  0.870163, Time  0.237287
2021-09-22 07:49:09.005419 : Epoch  3, Batch   1851, Loss  0.869295, Average Loss  0.870152, Time  0.237128
2021-09-22 07:49:11.659893 : Epoch  3, Batch   1852, Loss  0.866509, Average Loss  0.870106, Time  0.236896
2021-09-22 07:49:14.320105 : Epoch  3, Batch   1853, Loss  0.886436, Average Loss  0.870187, Time  0.236601
2021-09-22 07:49:16.960228 : Epoch  3, Batch   1854, Loss  0.857655, Average Loss  0.870081, Time  0.236661
2021-09-22 07:49:19.608205 : Epoch  3, Batch   1855, Loss  0.883398, Average Loss  0.870134, Time  0.236861
2021-09-22 07:49:22.270036 : Epoch  3, Batch   1856, Loss  0.891809, Average Loss  0.870165, Time  0.237269
2021-09-22 07:49:22.326569 : Saving Model after 3-th Epoch.
2021-09-22 07:49:23.091599 : Epoch Finished.
2021-09-22 07:49:32.272616 : Batch Shuffled
2021-09-22 07:49:34.923173 : Epoch  4, Batch      1, Loss  0.883681, Average Loss  0.870223, Time  0.266666
2021-09-22 07:49:37.575868 : Epoch  4, Batch      2, Loss  0.869616, Average Loss  0.870168, Time  0.240847
2021-09-22 07:49:40.247975 : Epoch  4, Batch      3, Loss  0.857652, Average Loss  0.870142, Time  0.238791
2021-09-22 07:49:42.898111 : Epoch  4, Batch      4, Loss  0.891959, Average Loss  0.870210, Time  0.236850
2021-09-22 07:49:45.527086 : Epoch  4, Batch      5, Loss  0.880241, Average Loss  0.870273, Time  0.237457
2021-09-22 07:49:48.172016 : Epoch  4, Batch      6, Loss  0.886105, Average Loss  0.870304, Time  0.236223
2021-09-22 07:49:50.872050 : Epoch  4, Batch      7, Loss  0.857066, Average Loss  0.870208, Time  0.236644
2021-09-22 07:49:53.514640 : Epoch  4, Batch      8, Loss  0.873672, Average Loss  0.870321, Time  0.235771
2021-09-22 07:49:56.164000 : Epoch  4, Batch      9, Loss  0.864738, Average Loss  0.870265, Time  0.236747
2021-09-22 07:49:58.812412 : Epoch  4, Batch     10, Loss  0.881886, Average Loss  0.870179, Time  0.236622
2021-09-22 07:50:01.484865 : Epoch  4, Batch     11, Loss  0.884585, Average Loss  0.870358, Time  0.237368
2021-09-22 07:50:04.129868 : Epoch  4, Batch     12, Loss  0.860770, Average Loss  0.870302, Time  0.236817
2021-09-22 07:50:06.784271 : Epoch  4, Batch     13, Loss  0.857687, Average Loss  0.870120, Time  0.236269
2021-09-22 07:50:09.458878 : Epoch  4, Batch     14, Loss  0.870543, Average Loss  0.870143, Time  0.237131
2021-09-22 07:50:12.107434 : Epoch  4, Batch     15, Loss  0.898055, Average Loss  0.870329, Time  0.236810
2021-09-22 07:50:14.759149 : Epoch  4, Batch     16, Loss  0.880529, Average Loss  0.870381, Time  0.237337
2021-09-22 07:50:17.410476 : Epoch  4, Batch     17, Loss  0.875721, Average Loss  0.870555, Time  0.237200
2021-09-22 07:50:20.068409 : Epoch  4, Batch     18, Loss  0.889736, Average Loss  0.870764, Time  0.236675
2021-09-22 07:50:22.726105 : Epoch  4, Batch     19, Loss  0.893982, Average Loss  0.870814, Time  0.237227
2021-09-22 07:50:25.382595 : Epoch  4, Batch     20, Loss  0.892413, Average Loss  0.870909, Time  0.236566
2021-09-22 07:50:28.046095 : Epoch  4, Batch     21, Loss  0.868023, Average Loss  0.870852, Time  0.236369
2021-09-22 07:50:30.702286 : Epoch  4, Batch     22, Loss  0.845546, Average Loss  0.870664, Time  0.238917
2021-09-22 07:50:33.372106 : Epoch  4, Batch     23, Loss  0.884197, Average Loss  0.870686, Time  0.237498
2021-09-22 07:50:36.025617 : Epoch  4, Batch     24, Loss  0.848203, Average Loss  0.870607, Time  0.236364
2021-09-22 07:50:38.672882 : Epoch  4, Batch     25, Loss  0.857829, Average Loss  0.870542, Time  0.236846
2021-09-22 07:50:41.319395 : Epoch  4, Batch     26, Loss  0.862339, Average Loss  0.870404, Time  0.236271
2021-09-22 07:50:43.971385 : Epoch  4, Batch     27, Loss  0.861863, Average Loss  0.870282, Time  0.235785
2021-09-22 07:50:46.615197 : Epoch  4, Batch     28, Loss  0.884950, Average Loss  0.870390, Time  0.236427
2021-09-22 07:50:49.267081 : Epoch  4, Batch     29, Loss  0.905015, Average Loss  0.870626, Time  0.237992
2021-09-22 07:50:51.914411 : Epoch  4, Batch     30, Loss  0.866218, Average Loss  0.870521, Time  0.236990
2021-09-22 07:50:54.559960 : Epoch  4, Batch     31, Loss  0.869189, Average Loss  0.870434, Time  0.237335
2021-09-22 07:50:57.216898 : Epoch  4, Batch     32, Loss  0.882042, Average Loss  0.870504, Time  0.236428
2021-09-22 07:55:06.784752 : CheckPoint: Validation Loss  0.00030027, Best Loss  0.00029452
2021-09-22 07:55:09.468233 : Epoch  4, Batch     33, Loss  0.866628, Average Loss  0.870407, Time  0.268955
2021-09-22 07:55:12.188857 : Epoch  4, Batch     34, Loss  0.877894, Average Loss  0.870403, Time  0.249119
2021-09-22 07:55:14.839878 : Epoch  4, Batch     35, Loss  0.895994, Average Loss  0.870451, Time  0.236297
2021-09-22 07:55:17.512422 : Epoch  4, Batch     36, Loss  0.886565, Average Loss  0.870508, Time  0.236744
2021-09-22 07:55:20.223896 : Epoch  4, Batch     37, Loss  0.871933, Average Loss  0.870555, Time  0.236716
2021-09-22 07:55:22.874397 : Epoch  4, Batch     38, Loss  0.863546, Average Loss  0.870492, Time  0.235946
2021-09-22 07:55:25.519491 : Epoch  4, Batch     39, Loss  0.881066, Average Loss  0.870531, Time  0.236666
2021-09-22 07:55:28.175678 : Epoch  4, Batch     40, Loss  0.861008, Average Loss  0.870535, Time  0.235801
2021-09-22 07:55:30.816388 : Epoch  4, Batch     41, Loss  0.875860, Average Loss  0.870645, Time  0.236467
2021-09-22 07:55:33.449304 : Epoch  4, Batch     42, Loss  0.852170, Average Loss  0.870532, Time  0.236615
2021-09-22 07:55:36.111372 : Epoch  4, Batch     43, Loss  0.880046, Average Loss  0.870541, Time  0.237330
2021-09-22 07:55:38.752972 : Epoch  4, Batch     44, Loss  0.880995, Average Loss  0.870595, Time  0.236172
2021-09-22 07:55:41.450395 : Epoch  4, Batch     45, Loss  0.875808, Average Loss  0.870614, Time  0.236357
2021-09-22 07:55:44.096034 : Epoch  4, Batch     46, Loss  0.868161, Average Loss  0.870679, Time  0.235864
2021-09-22 07:55:46.744977 : Epoch  4, Batch     47, Loss  0.856658, Average Loss  0.870603, Time  0.236674
2021-09-22 07:55:49.400402 : Epoch  4, Batch     48, Loss  0.856905, Average Loss  0.870516, Time  0.236990
2021-09-22 07:55:52.049417 : Epoch  4, Batch     49, Loss  0.873781, Average Loss  0.870612, Time  0.237800
2021-09-22 07:55:54.696404 : Epoch  4, Batch     50, Loss  0.877401, Average Loss  0.870658, Time  0.239223
2021-09-22 07:55:57.357063 : Epoch  4, Batch     51, Loss  0.866696, Average Loss  0.870530, Time  0.240222
2021-09-22 07:56:00.038842 : Epoch  4, Batch     52, Loss  0.864224, Average Loss  0.870595, Time  0.237630
2021-09-22 07:56:02.717986 : Epoch  4, Batch     53, Loss  0.881145, Average Loss  0.870637, Time  0.260927
2021-09-22 07:56:05.400980 : Epoch  4, Batch     54, Loss  0.852727, Average Loss  0.870652, Time  0.236732
2021-09-22 07:56:08.045895 : Epoch  4, Batch     55, Loss  0.865585, Average Loss  0.870597, Time  0.237305
2021-09-22 07:56:10.701022 : Epoch  4, Batch     56, Loss  0.865364, Average Loss  0.870646, Time  0.236761
2021-09-22 07:56:13.359397 : Epoch  4, Batch     57, Loss  0.869201, Average Loss  0.870604, Time  0.236680
2021-09-22 07:56:16.012101 : Epoch  4, Batch     58, Loss  0.859070, Average Loss  0.870609, Time  0.235642
2021-09-22 07:56:18.655938 : Epoch  4, Batch     59, Loss  0.842939, Average Loss  0.870507, Time  0.237191
2021-09-22 07:56:21.314643 : Epoch  4, Batch     60, Loss  0.887352, Average Loss  0.870541, Time  0.236199
2021-09-22 07:56:23.979380 : Epoch  4, Batch     61, Loss  0.861583, Average Loss  0.870524, Time  0.236855
2021-09-22 07:56:26.639070 : Epoch  4, Batch     62, Loss  0.868589, Average Loss  0.870509, Time  0.236541
2021-09-22 07:56:29.304008 : Epoch  4, Batch     63, Loss  0.882660, Average Loss  0.870497, Time  0.239661
2021-09-22 07:56:31.960429 : Epoch  4, Batch     64, Loss  0.871038, Average Loss  0.870463, Time  0.236665
2021-09-22 07:56:34.623649 : Epoch  4, Batch     65, Loss  0.873780, Average Loss  0.870616, Time  0.236064
2021-09-22 07:56:37.273640 : Epoch  4, Batch     66, Loss  0.861239, Average Loss  0.870582, Time  0.236391
2021-09-22 07:56:39.929894 : Epoch  4, Batch     67, Loss  0.864339, Average Loss  0.870577, Time  0.236785
2021-09-22 07:56:42.586262 : Epoch  4, Batch     68, Loss  0.871704, Average Loss  0.870635, Time  0.236379
2021-09-22 07:56:45.233422 : Epoch  4, Batch     69, Loss  0.871731, Average Loss  0.870717, Time  0.236873
2021-09-22 07:56:47.901425 : Epoch  4, Batch     70, Loss  0.877981, Average Loss  0.870895, Time  0.236775
2021-09-22 07:56:50.559816 : Epoch  4, Batch     71, Loss  0.867240, Average Loss  0.870774, Time  0.237010
2021-09-22 07:56:53.231147 : Epoch  4, Batch     72, Loss  0.853412, Average Loss  0.870804, Time  0.237371
2021-09-22 07:56:55.893252 : Epoch  4, Batch     73, Loss  0.874488, Average Loss  0.870742, Time  0.237694
2021-09-22 07:56:58.550424 : Epoch  4, Batch     74, Loss  0.849940, Average Loss  0.870649, Time  0.237655
2021-09-22 07:57:01.194438 : Epoch  4, Batch     75, Loss  0.853423, Average Loss  0.870473, Time  0.236675
2021-09-22 07:57:03.849398 : Epoch  4, Batch     76, Loss  0.877948, Average Loss  0.870481, Time  0.237360
2021-09-22 07:57:06.517997 : Epoch  4, Batch     77, Loss  0.869558, Average Loss  0.870433, Time  0.237466
2021-09-22 07:57:09.182854 : Epoch  4, Batch     78, Loss  0.877162, Average Loss  0.870534, Time  0.236506
2021-09-22 07:57:11.825824 : Epoch  4, Batch     79, Loss  0.880707, Average Loss  0.870545, Time  0.236521
2021-09-22 07:57:14.499646 : Epoch  4, Batch     80, Loss  0.873574, Average Loss  0.870531, Time  0.240440
2021-09-22 07:57:17.156422 : Epoch  4, Batch     81, Loss  0.880302, Average Loss  0.870559, Time  0.236592
2021-09-22 07:57:19.806988 : Epoch  4, Batch     82, Loss  0.883229, Average Loss  0.870561, Time  0.236747
2021-09-22 07:57:22.453070 : Epoch  4, Batch     83, Loss  0.859167, Average Loss  0.870573, Time  0.236257
2021-09-22 07:57:25.116408 : Epoch  4, Batch     84, Loss  0.884654, Average Loss  0.870614, Time  0.236288
2021-09-22 07:57:27.765401 : Epoch  4, Batch     85, Loss  0.883527, Average Loss  0.870710, Time  0.236103
2021-09-22 07:57:30.428433 : Epoch  4, Batch     86, Loss  0.897841, Average Loss  0.870842, Time  0.235928
2021-09-22 07:57:33.086884 : Epoch  4, Batch     87, Loss  0.881649, Average Loss  0.870896, Time  0.236914
2021-09-22 07:57:35.787038 : Epoch  4, Batch     88, Loss  0.841078, Average Loss  0.870859, Time  0.236707
2021-09-22 07:57:38.440659 : Epoch  4, Batch     89, Loss  0.853944, Average Loss  0.870768, Time  0.236306
2021-09-22 07:57:41.089409 : Epoch  4, Batch     90, Loss  0.860795, Average Loss  0.870742, Time  0.239850
2021-09-22 07:57:43.728424 : Epoch  4, Batch     91, Loss  0.852522, Average Loss  0.870616, Time  0.235974
2021-09-22 07:57:46.377018 : Epoch  4, Batch     92, Loss  0.855623, Average Loss  0.870482, Time  0.236349
2021-09-22 07:57:49.026421 : Epoch  4, Batch     93, Loss  0.860523, Average Loss  0.870308, Time  0.237970
2021-09-22 07:57:51.677852 : Epoch  4, Batch     94, Loss  0.854720, Average Loss  0.870356, Time  0.236521
2021-09-22 07:57:54.335386 : Epoch  4, Batch     95, Loss  0.865818, Average Loss  0.870364, Time  0.237600
2021-09-22 07:57:56.984426 : Epoch  4, Batch     96, Loss  0.879433, Average Loss  0.870421, Time  0.235653
2021-09-22 07:57:59.669515 : Epoch  4, Batch     97, Loss  0.886020, Average Loss  0.870412, Time  0.236943
2021-09-22 07:58:02.322400 : Epoch  4, Batch     98, Loss  0.899417, Average Loss  0.870485, Time  0.235945
2021-09-22 07:58:04.972411 : Epoch  4, Batch     99, Loss  0.866809, Average Loss  0.870544, Time  0.235937
2021-09-22 07:58:07.627926 : Epoch  4, Batch    100, Loss  0.870873, Average Loss  0.870605, Time  0.237849
2021-09-22 07:58:10.332673 : Epoch  4, Batch    101, Loss  0.867366, Average Loss  0.870517, Time  0.237564
2021-09-22 07:58:13.005626 : Epoch  4, Batch    102, Loss  0.860222, Average Loss  0.870593, Time  0.238341
2021-09-22 07:58:15.682884 : Epoch  4, Batch    103, Loss  0.882367, Average Loss  0.870611, Time  0.236251
2021-09-22 07:58:18.385942 : Epoch  4, Batch    104, Loss  0.862459, Average Loss  0.870546, Time  0.236151
2021-09-22 07:58:21.060622 : Epoch  4, Batch    105, Loss  0.846964, Average Loss  0.870365, Time  0.235826
2021-09-22 07:58:23.714418 : Epoch  4, Batch    106, Loss  0.871704, Average Loss  0.870403, Time  0.236525
2021-09-22 07:58:26.377826 : Epoch  4, Batch    107, Loss  0.857059, Average Loss  0.870273, Time  0.236780
2021-09-22 07:58:29.028437 : Epoch  4, Batch    108, Loss  0.875182, Average Loss  0.870311, Time  0.236173
2021-09-22 07:58:31.682863 : Epoch  4, Batch    109, Loss  0.849990, Average Loss  0.870123, Time  0.236411
2021-09-22 07:58:34.334115 : Epoch  4, Batch    110, Loss  0.863913, Average Loss  0.870122, Time  0.235912
2021-09-22 07:58:36.999280 : Epoch  4, Batch    111, Loss  0.898260, Average Loss  0.870368, Time  0.236694
2021-09-22 07:58:39.686421 : Epoch  4, Batch    112, Loss  0.869576, Average Loss  0.870445, Time  0.236154
2021-09-22 07:58:42.341127 : Epoch  4, Batch    113, Loss  0.867352, Average Loss  0.870479, Time  0.237069
2021-09-22 07:58:44.988413 : Epoch  4, Batch    114, Loss  0.867526, Average Loss  0.870402, Time  0.235713
2021-09-22 07:58:47.636146 : Epoch  4, Batch    115, Loss  0.878064, Average Loss  0.870347, Time  0.239621
2021-09-22 07:58:50.298863 : Epoch  4, Batch    116, Loss  0.893207, Average Loss  0.870456, Time  0.237776
2021-09-22 07:58:52.975399 : Epoch  4, Batch    117, Loss  0.879352, Average Loss  0.870520, Time  0.237584
2021-09-22 07:58:55.627842 : Epoch  4, Batch    118, Loss  0.855310, Average Loss  0.870380, Time  0.236400
2021-09-22 07:58:58.309451 : Epoch  4, Batch    119, Loss  0.870243, Average Loss  0.870433, Time  0.237771
2021-09-22 07:59:01.000243 : Epoch  4, Batch    120, Loss  0.900022, Average Loss  0.870583, Time  0.256876
2021-09-22 07:59:03.726922 : Epoch  4, Batch    121, Loss  0.868211, Average Loss  0.870445, Time  0.237126
2021-09-22 07:59:06.380994 : Epoch  4, Batch    122, Loss  0.879280, Average Loss  0.870477, Time  0.236750
2021-09-22 07:59:09.045825 : Epoch  4, Batch    123, Loss  0.869945, Average Loss  0.870481, Time  0.236798
2021-09-22 07:59:11.699419 : Epoch  4, Batch    124, Loss  0.886875, Average Loss  0.870677, Time  0.236902
2021-09-22 07:59:14.383893 : Epoch  4, Batch    125, Loss  0.868327, Average Loss  0.870670, Time  0.238257
2021-09-22 07:59:17.032103 : Epoch  4, Batch    126, Loss  0.844401, Average Loss  0.870620, Time  0.240290
2021-09-22 07:59:19.678841 : Epoch  4, Batch    127, Loss  0.886338, Average Loss  0.870835, Time  0.237476
2021-09-22 07:59:22.329855 : Epoch  4, Batch    128, Loss  0.881049, Average Loss  0.870871, Time  0.236370
2021-09-22 07:59:24.973083 : Epoch  4, Batch    129, Loss  0.854505, Average Loss  0.870716, Time  0.240136
2021-09-22 07:59:27.610853 : Epoch  4, Batch    130, Loss  0.861134, Average Loss  0.870671, Time  0.236839
2021-09-22 07:59:30.248371 : Epoch  4, Batch    131, Loss  0.893804, Average Loss  0.870870, Time  0.236036
2021-09-22 07:59:32.896872 : Epoch  4, Batch    132, Loss  0.866204, Average Loss  0.870816, Time  0.236370
2021-09-22 08:03:41.995758 : CheckPoint: Validation Loss  0.00029767, Best Loss  0.00029452
2021-09-22 08:03:44.641139 : Epoch  4, Batch    133, Loss  0.877156, Average Loss  0.870927, Time  0.237354
2021-09-22 08:03:47.280360 : Epoch  4, Batch    134, Loss  0.883126, Average Loss  0.871028, Time  0.236264
2021-09-22 08:03:49.925025 : Epoch  4, Batch    135, Loss  0.873548, Average Loss  0.870933, Time  0.236073
2021-09-22 08:03:52.574317 : Epoch  4, Batch    136, Loss  0.867660, Average Loss  0.870952, Time  0.236442
2021-09-22 08:03:55.221060 : Epoch  4, Batch    137, Loss  0.852977, Average Loss  0.870868, Time  0.236696
2021-09-22 08:03:57.864716 : Epoch  4, Batch    138, Loss  0.871391, Average Loss  0.870938, Time  0.236014
2021-09-22 08:04:00.518406 : Epoch  4, Batch    139, Loss  0.881164, Average Loss  0.870996, Time  0.236661
2021-09-22 08:04:03.169698 : Epoch  4, Batch    140, Loss  0.894391, Average Loss  0.871088, Time  0.236189
2021-09-22 08:04:05.813951 : Epoch  4, Batch    141, Loss  0.851670, Average Loss  0.870926, Time  0.236108
2021-09-22 08:04:08.451040 : Epoch  4, Batch    142, Loss  0.857425, Average Loss  0.870919, Time  0.235924
2021-09-22 08:04:11.087253 : Epoch  4, Batch    143, Loss  0.862667, Average Loss  0.870829, Time  0.237251
2021-09-22 08:04:13.741184 : Epoch  4, Batch    144, Loss  0.849152, Average Loss  0.870772, Time  0.238752
2021-09-22 08:04:16.375407 : Epoch  4, Batch    145, Loss  0.886842, Average Loss  0.870795, Time  0.237108
2021-09-22 08:04:19.016882 : Epoch  4, Batch    146, Loss  0.887371, Average Loss  0.870856, Time  0.236795
2021-09-22 08:04:21.671863 : Epoch  4, Batch    147, Loss  0.884081, Average Loss  0.870913, Time  0.237521
2021-09-22 08:04:24.314999 : Epoch  4, Batch    148, Loss  0.869512, Average Loss  0.870834, Time  0.235468
2021-09-22 08:04:26.966272 : Epoch  4, Batch    149, Loss  0.883510, Average Loss  0.870905, Time  0.236019
2021-09-22 08:04:29.607901 : Epoch  4, Batch    150, Loss  0.852458, Average Loss  0.870768, Time  0.236567
2021-09-22 08:04:32.258909 : Epoch  4, Batch    151, Loss  0.864452, Average Loss  0.870745, Time  0.236505
2021-09-22 08:04:34.920035 : Epoch  4, Batch    152, Loss  0.869358, Average Loss  0.870840, Time  0.243672
2021-09-22 08:04:37.551852 : Epoch  4, Batch    153, Loss  0.857659, Average Loss  0.870741, Time  0.236866
2021-09-22 08:04:40.211051 : Epoch  4, Batch    154, Loss  0.872567, Average Loss  0.870854, Time  0.237115
2021-09-22 08:04:42.842408 : Epoch  4, Batch    155, Loss  0.854062, Average Loss  0.870807, Time  0.236871
2021-09-22 08:04:45.483873 : Epoch  4, Batch    156, Loss  0.866623, Average Loss  0.870790, Time  0.236564
2021-09-22 08:04:48.140086 : Epoch  4, Batch    157, Loss  0.880321, Average Loss  0.870847, Time  0.236247
2021-09-22 08:04:50.782810 : Epoch  4, Batch    158, Loss  0.887591, Average Loss  0.870952, Time  0.237310
2021-09-22 08:04:53.444144 : Epoch  4, Batch    159, Loss  0.880272, Average Loss  0.870852, Time  0.237572
2021-09-22 08:04:56.093056 : Epoch  4, Batch    160, Loss  0.881758, Average Loss  0.870853, Time  0.235674
2021-09-22 08:04:58.747147 : Epoch  4, Batch    161, Loss  0.863838, Average Loss  0.870857, Time  0.237571
2021-09-22 08:05:01.419850 : Epoch  4, Batch    162, Loss  0.866360, Average Loss  0.870779, Time  0.236622
2021-09-22 08:05:04.058448 : Epoch  4, Batch    163, Loss  0.866490, Average Loss  0.870823, Time  0.237238
2021-09-22 08:05:06.710439 : Epoch  4, Batch    164, Loss  0.879986, Average Loss  0.870832, Time  0.236630
2021-09-22 08:05:09.354184 : Epoch  4, Batch    165, Loss  0.887548, Average Loss  0.870997, Time  0.236504
2021-09-22 08:05:12.008920 : Epoch  4, Batch    166, Loss  0.856571, Average Loss  0.870889, Time  0.237551
2021-09-22 08:05:14.684171 : Epoch  4, Batch    167, Loss  0.877198, Average Loss  0.870983, Time  0.236846
2021-09-22 08:05:17.330417 : Epoch  4, Batch    168, Loss  0.854793, Average Loss  0.870933, Time  0.236220
2021-09-22 08:05:19.979030 : Epoch  4, Batch    169, Loss  0.868054, Average Loss  0.870975, Time  0.236334
2021-09-22 08:05:22.625037 : Epoch  4, Batch    170, Loss  0.894546, Average Loss  0.871208, Time  0.236330
2021-09-22 08:05:25.270678 : Epoch  4, Batch    171, Loss  0.878005, Average Loss  0.871120, Time  0.236902
2021-09-22 08:05:27.911123 : Epoch  4, Batch    172, Loss  0.891782, Average Loss  0.871234, Time  0.236258
2021-09-22 08:05:30.563383 : Epoch  4, Batch    173, Loss  0.876270, Average Loss  0.871274, Time  0.235974
2021-09-22 08:05:33.213648 : Epoch  4, Batch    174, Loss  0.884515, Average Loss  0.871456, Time  0.236351
2021-09-22 08:05:35.896914 : Epoch  4, Batch    175, Loss  0.876572, Average Loss  0.871484, Time  0.237584
2021-09-22 08:05:38.538214 : Epoch  4, Batch    176, Loss  0.876589, Average Loss  0.871497, Time  0.235909
2021-09-22 08:05:41.194132 : Epoch  4, Batch    177, Loss  0.839158, Average Loss  0.871370, Time  0.237131
2021-09-22 08:05:43.849297 : Epoch  4, Batch    178, Loss  0.888318, Average Loss  0.871456, Time  0.236869
2021-09-22 08:05:46.502401 : Epoch  4, Batch    179, Loss  0.886919, Average Loss  0.871365, Time  0.239630
2021-09-22 08:05:49.147841 : Epoch  4, Batch    180, Loss  0.877357, Average Loss  0.871486, Time  0.237814
2021-09-22 08:05:51.798188 : Epoch  4, Batch    181, Loss  0.887836, Average Loss  0.871507, Time  0.236099
2021-09-22 08:05:54.434901 : Epoch  4, Batch    182, Loss  0.857428, Average Loss  0.871397, Time  0.236396
2021-09-22 08:05:57.085882 : Epoch  4, Batch    183, Loss  0.874188, Average Loss  0.871448, Time  0.236798
2021-09-22 08:05:59.741199 : Epoch  4, Batch    184, Loss  0.858025, Average Loss  0.871519, Time  0.236601
2021-09-22 08:06:02.379833 : Epoch  4, Batch    185, Loss  0.880530, Average Loss  0.871657, Time  0.237096
2021-09-22 08:06:05.028131 : Epoch  4, Batch    186, Loss  0.873320, Average Loss  0.871745, Time  0.236189
2021-09-22 08:06:07.673810 : Epoch  4, Batch    187, Loss  0.860508, Average Loss  0.871696, Time  0.236923
2021-09-22 08:06:10.323134 : Epoch  4, Batch    188, Loss  0.857135, Average Loss  0.871682, Time  0.237539
2021-09-22 08:06:12.975658 : Epoch  4, Batch    189, Loss  0.884950, Average Loss  0.871773, Time  0.235837
2021-09-22 08:06:15.640876 : Epoch  4, Batch    190, Loss  0.872928, Average Loss  0.871817, Time  0.237666
2021-09-22 08:06:18.304122 : Epoch  4, Batch    191, Loss  0.886184, Average Loss  0.871865, Time  0.236531
2021-09-22 08:06:20.948966 : Epoch  4, Batch    192, Loss  0.875621, Average Loss  0.871957, Time  0.239598
2021-09-22 08:06:23.586565 : Epoch  4, Batch    193, Loss  0.868444, Average Loss  0.871878, Time  0.236959
2021-09-22 08:06:26.236057 : Epoch  4, Batch    194, Loss  0.840258, Average Loss  0.871716, Time  0.236887
2021-09-22 08:06:28.883358 : Epoch  4, Batch    195, Loss  0.864797, Average Loss  0.871693, Time  0.236939
2021-09-22 08:06:31.522430 : Epoch  4, Batch    196, Loss  0.878349, Average Loss  0.871752, Time  0.235870
2021-09-22 08:06:34.171392 : Epoch  4, Batch    197, Loss  0.865391, Average Loss  0.871647, Time  0.238065
2021-09-22 08:06:36.800996 : Epoch  4, Batch    198, Loss  0.858854, Average Loss  0.871653, Time  0.235719
2021-09-22 08:06:39.449510 : Epoch  4, Batch    199, Loss  0.883245, Average Loss  0.871652, Time  0.240212
2021-09-22 08:06:42.090267 : Epoch  4, Batch    200, Loss  0.860929, Average Loss  0.871498, Time  0.236786
2021-09-22 08:06:44.726042 : Epoch  4, Batch    201, Loss  0.892364, Average Loss  0.871541, Time  0.237321
2021-09-22 08:06:47.366720 : Epoch  4, Batch    202, Loss  0.870689, Average Loss  0.871547, Time  0.236283
2021-09-22 08:06:49.999104 : Epoch  4, Batch    203, Loss  0.859729, Average Loss  0.871557, Time  0.235899
2021-09-22 08:06:52.645434 : Epoch  4, Batch    204, Loss  0.888671, Average Loss  0.871541, Time  0.237104
2021-09-22 08:06:55.285241 : Epoch  4, Batch    205, Loss  0.866945, Average Loss  0.871474, Time  0.236022
2021-09-22 08:06:57.929122 : Epoch  4, Batch    206, Loss  0.870898, Average Loss  0.871398, Time  0.236806
2021-09-22 08:07:00.568404 : Epoch  4, Batch    207, Loss  0.855199, Average Loss  0.871389, Time  0.236224
2021-09-22 08:07:03.192994 : Epoch  4, Batch    208, Loss  0.856377, Average Loss  0.871302, Time  0.235981
2021-09-22 08:07:05.818815 : Epoch  4, Batch    209, Loss  0.886723, Average Loss  0.871412, Time  0.236432
2021-09-22 08:07:08.463489 : Epoch  4, Batch    210, Loss  0.868702, Average Loss  0.871346, Time  0.235631
2021-09-22 08:07:11.079801 : Epoch  4, Batch    211, Loss  0.871181, Average Loss  0.871279, Time  0.236064
2021-09-22 08:07:13.707976 : Epoch  4, Batch    212, Loss  0.875078, Average Loss  0.871351, Time  0.235935
2021-09-22 08:07:16.348167 : Epoch  4, Batch    213, Loss  0.872064, Average Loss  0.871423, Time  0.235875
2021-09-22 08:07:19.016393 : Epoch  4, Batch    214, Loss  0.886707, Average Loss  0.871504, Time  0.240009
2021-09-22 08:07:21.655914 : Epoch  4, Batch    215, Loss  0.881989, Average Loss  0.871423, Time  0.239730
2021-09-22 08:07:24.297237 : Epoch  4, Batch    216, Loss  0.868453, Average Loss  0.871363, Time  0.236043
2021-09-22 08:07:26.972915 : Epoch  4, Batch    217, Loss  0.847580, Average Loss  0.871222, Time  0.250690
2021-09-22 08:07:29.656900 : Epoch  4, Batch    218, Loss  0.879975, Average Loss  0.871173, Time  0.236500
2021-09-22 08:07:32.289092 : Epoch  4, Batch    219, Loss  0.876856, Average Loss  0.871088, Time  0.236100
2021-09-22 08:07:34.964408 : Epoch  4, Batch    220, Loss  0.854547, Average Loss  0.870898, Time  0.237811
2021-09-22 08:07:37.629963 : Epoch  4, Batch    221, Loss  0.856913, Average Loss  0.870843, Time  0.236024
2021-09-22 08:07:40.288020 : Epoch  4, Batch    222, Loss  0.857407, Average Loss  0.870902, Time  0.237032
2021-09-22 08:07:42.947952 : Epoch  4, Batch    223, Loss  0.867352, Average Loss  0.870818, Time  0.236835
2021-09-22 08:07:45.606419 : Epoch  4, Batch    224, Loss  0.889848, Average Loss  0.871026, Time  0.235909
2021-09-22 08:07:48.240398 : Epoch  4, Batch    225, Loss  0.852941, Average Loss  0.871002, Time  0.236625
2021-09-22 08:07:50.896627 : Epoch  4, Batch    226, Loss  0.855842, Average Loss  0.870969, Time  0.236881
2021-09-22 08:07:53.557018 : Epoch  4, Batch    227, Loss  0.863325, Average Loss  0.870977, Time  0.237309
2021-09-22 08:07:56.207991 : Epoch  4, Batch    228, Loss  0.866982, Average Loss  0.870887, Time  0.236782
2021-09-22 08:07:58.859988 : Epoch  4, Batch    229, Loss  0.855277, Average Loss  0.870638, Time  0.236630
2021-09-22 08:08:01.511980 : Epoch  4, Batch    230, Loss  0.866762, Average Loss  0.870641, Time  0.236805
2021-09-22 08:08:04.203890 : Epoch  4, Batch    231, Loss  0.857422, Average Loss  0.870582, Time  0.237889
2021-09-22 08:08:06.867804 : Epoch  4, Batch    232, Loss  0.861696, Average Loss  0.870480, Time  0.238672
2021-09-22 08:12:15.458778 : CheckPoint: Validation Loss  0.00030095, Best Loss  0.00029452
2021-09-22 08:12:18.169076 : Epoch  4, Batch    233, Loss  0.862691, Average Loss  0.870460, Time  0.237931
2021-09-22 08:12:20.825036 : Epoch  4, Batch    234, Loss  0.874561, Average Loss  0.870444, Time  0.236696
2021-09-22 08:12:23.472111 : Epoch  4, Batch    235, Loss  0.860079, Average Loss  0.870264, Time  0.236972
2021-09-22 08:12:26.119225 : Epoch  4, Batch    236, Loss  0.870098, Average Loss  0.870182, Time  0.236940
2021-09-22 08:12:28.761369 : Epoch  4, Batch    237, Loss  0.860097, Average Loss  0.870123, Time  0.236134
2021-09-22 08:12:31.413210 : Epoch  4, Batch    238, Loss  0.865294, Average Loss  0.870131, Time  0.236571
2021-09-22 08:12:34.076098 : Epoch  4, Batch    239, Loss  0.857959, Average Loss  0.870016, Time  0.237861
2021-09-22 08:12:36.739944 : Epoch  4, Batch    240, Loss  0.853225, Average Loss  0.869977, Time  0.235883
2021-09-22 08:12:39.393836 : Epoch  4, Batch    241, Loss  0.876373, Average Loss  0.869980, Time  0.236974
2021-09-22 08:12:42.073451 : Epoch  4, Batch    242, Loss  0.850016, Average Loss  0.869969, Time  0.236817
2021-09-22 08:12:44.727889 : Epoch  4, Batch    243, Loss  0.841098, Average Loss  0.869774, Time  0.237521
2021-09-22 08:12:47.367414 : Epoch  4, Batch    244, Loss  0.874451, Average Loss  0.869741, Time  0.236503
2021-09-22 08:12:50.010974 : Epoch  4, Batch    245, Loss  0.870308, Average Loss  0.869714, Time  0.235922
2021-09-22 08:12:52.648939 : Epoch  4, Batch    246, Loss  0.836568, Average Loss  0.869556, Time  0.236279
2021-09-22 08:12:55.294707 : Epoch  4, Batch    247, Loss  0.851448, Average Loss  0.869530, Time  0.236720
2021-09-22 08:12:57.944919 : Epoch  4, Batch    248, Loss  0.853370, Average Loss  0.869512, Time  0.236109
2021-09-22 08:13:00.589199 : Epoch  4, Batch    249, Loss  0.878365, Average Loss  0.869535, Time  0.237316
2021-09-22 08:13:03.230123 : Epoch  4, Batch    250, Loss  0.854587, Average Loss  0.869421, Time  0.236484
2021-09-22 08:13:05.885406 : Epoch  4, Batch    251, Loss  0.860173, Average Loss  0.869388, Time  0.236865
2021-09-22 08:13:08.525815 : Epoch  4, Batch    252, Loss  0.875594, Average Loss  0.869445, Time  0.236305
2021-09-22 08:13:11.166867 : Epoch  4, Batch    253, Loss  0.873685, Average Loss  0.869408, Time  0.236293
2021-09-22 08:13:13.797948 : Epoch  4, Batch    254, Loss  0.875709, Average Loss  0.869523, Time  0.235927
2021-09-22 08:13:16.445967 : Epoch  4, Batch    255, Loss  0.863954, Average Loss  0.869515, Time  0.237098
2021-09-22 08:13:19.106910 : Epoch  4, Batch    256, Loss  0.864254, Average Loss  0.869509, Time  0.237144
2021-09-22 08:13:21.746103 : Epoch  4, Batch    257, Loss  0.863396, Average Loss  0.869480, Time  0.236539
2021-09-22 08:13:24.389772 : Epoch  4, Batch    258, Loss  0.886944, Average Loss  0.869619, Time  0.236960
2021-09-22 08:13:27.068100 : Epoch  4, Batch    259, Loss  0.876778, Average Loss  0.869789, Time  0.237420
2021-09-22 08:13:29.726337 : Epoch  4, Batch    260, Loss  0.882187, Average Loss  0.869763, Time  0.236350
2021-09-22 08:13:32.368586 : Epoch  4, Batch    261, Loss  0.880981, Average Loss  0.869860, Time  0.237735
2021-09-22 08:13:35.017876 : Epoch  4, Batch    262, Loss  0.884366, Average Loss  0.869939, Time  0.236891
2021-09-22 08:13:37.669425 : Epoch  4, Batch    263, Loss  0.865318, Average Loss  0.869852, Time  0.236573
2021-09-22 08:13:40.316193 : Epoch  4, Batch    264, Loss  0.881785, Average Loss  0.869906, Time  0.235930
2021-09-22 08:13:42.974434 : Epoch  4, Batch    265, Loss  0.876938, Average Loss  0.869922, Time  0.236133
2021-09-22 08:13:45.618066 : Epoch  4, Batch    266, Loss  0.864273, Average Loss  0.869937, Time  0.236128
2021-09-22 08:13:48.268429 : Epoch  4, Batch    267, Loss  0.875747, Average Loss  0.869994, Time  0.236406
2021-09-22 08:13:50.913429 : Epoch  4, Batch    268, Loss  0.869603, Average Loss  0.869983, Time  0.236266
2021-09-22 08:13:53.562681 : Epoch  4, Batch    269, Loss  0.891200, Average Loss  0.870081, Time  0.237429
2021-09-22 08:13:56.203233 : Epoch  4, Batch    270, Loss  0.870978, Average Loss  0.870046, Time  0.236142
2021-09-22 08:13:58.846434 : Epoch  4, Batch    271, Loss  0.866646, Average Loss  0.870043, Time  0.236101
2021-09-22 08:14:01.507371 : Epoch  4, Batch    272, Loss  0.882690, Average Loss  0.870189, Time  0.236762
2021-09-22 08:14:04.155952 : Epoch  4, Batch    273, Loss  0.858479, Average Loss  0.870109, Time  0.236619
2021-09-22 08:14:06.809393 : Epoch  4, Batch    274, Loss  0.877196, Average Loss  0.870245, Time  0.236214
2021-09-22 08:14:09.452034 : Epoch  4, Batch    275, Loss  0.890215, Average Loss  0.870429, Time  0.236615
2021-09-22 08:14:12.096393 : Epoch  4, Batch    276, Loss  0.868942, Average Loss  0.870384, Time  0.236246
2021-09-22 08:14:14.744624 : Epoch  4, Batch    277, Loss  0.880831, Average Loss  0.870440, Time  0.236936
2021-09-22 08:14:17.403202 : Epoch  4, Batch    278, Loss  0.862719, Average Loss  0.870368, Time  0.236172
2021-09-22 08:14:20.082817 : Epoch  4, Batch    279, Loss  0.882114, Average Loss  0.870375, Time  0.238742
2021-09-22 08:14:22.744854 : Epoch  4, Batch    280, Loss  0.871017, Average Loss  0.870363, Time  0.236599
2021-09-22 08:14:25.408321 : Epoch  4, Batch    281, Loss  0.866417, Average Loss  0.870293, Time  0.237299
2021-09-22 08:14:28.066011 : Epoch  4, Batch    282, Loss  0.893301, Average Loss  0.870343, Time  0.237110
2021-09-22 08:14:30.715832 : Epoch  4, Batch    283, Loss  0.883145, Average Loss  0.870463, Time  0.236391
2021-09-22 08:14:33.361994 : Epoch  4, Batch    284, Loss  0.866676, Average Loss  0.870373, Time  0.236440
2021-09-22 08:14:36.024922 : Epoch  4, Batch    285, Loss  0.877674, Average Loss  0.870344, Time  0.236385
2021-09-22 08:14:38.676435 : Epoch  4, Batch    286, Loss  0.851558, Average Loss  0.870113, Time  0.237035
2021-09-22 08:14:41.328057 : Epoch  4, Batch    287, Loss  0.876271, Average Loss  0.870086, Time  0.236640
2021-09-22 08:14:43.978420 : Epoch  4, Batch    288, Loss  0.849558, Average Loss  0.870128, Time  0.236020
2021-09-22 08:14:46.633178 : Epoch  4, Batch    289, Loss  0.871313, Average Loss  0.870215, Time  0.237863
2021-09-22 08:14:49.309826 : Epoch  4, Batch    290, Loss  0.869743, Average Loss  0.870260, Time  0.235779
2021-09-22 08:14:51.945410 : Epoch  4, Batch    291, Loss  0.878049, Average Loss  0.870388, Time  0.236009
2021-09-22 08:14:54.585851 : Epoch  4, Batch    292, Loss  0.866994, Average Loss  0.870444, Time  0.236112
2021-09-22 08:14:57.225095 : Epoch  4, Batch    293, Loss  0.876244, Average Loss  0.870523, Time  0.236946
2021-09-22 08:14:59.883063 : Epoch  4, Batch    294, Loss  0.886538, Average Loss  0.870682, Time  0.235909
2021-09-22 08:15:02.542973 : Epoch  4, Batch    295, Loss  0.876097, Average Loss  0.870733, Time  0.243848
2021-09-22 08:15:05.193406 : Epoch  4, Batch    296, Loss  0.872152, Average Loss  0.870697, Time  0.235602
2021-09-22 08:15:07.830575 : Epoch  4, Batch    297, Loss  0.896224, Average Loss  0.870748, Time  0.237286
2021-09-22 08:15:10.543945 : Epoch  4, Batch    298, Loss  0.860410, Average Loss  0.870553, Time  0.237716
2021-09-22 08:15:13.188404 : Epoch  4, Batch    299, Loss  0.864784, Average Loss  0.870543, Time  0.236440
2021-09-22 08:15:15.845436 : Epoch  4, Batch    300, Loss  0.868426, Average Loss  0.870531, Time  0.236896
2021-09-22 08:15:18.517385 : Epoch  4, Batch    301, Loss  0.859661, Average Loss  0.870492, Time  0.236319
2021-09-22 08:15:21.167398 : Epoch  4, Batch    302, Loss  0.892148, Average Loss  0.870652, Time  0.239291
2021-09-22 08:15:23.810844 : Epoch  4, Batch    303, Loss  0.864907, Average Loss  0.870564, Time  0.236772
2021-09-22 08:15:26.466500 : Epoch  4, Batch    304, Loss  0.890533, Average Loss  0.870705, Time  0.237422
2021-09-22 08:15:29.119027 : Epoch  4, Batch    305, Loss  0.859741, Average Loss  0.870769, Time  0.237465
2021-09-22 08:15:31.764416 : Epoch  4, Batch    306, Loss  0.882576, Average Loss  0.870823, Time  0.237620
2021-09-22 08:15:34.420413 : Epoch  4, Batch    307, Loss  0.881443, Average Loss  0.870945, Time  0.236600
2021-09-22 08:15:37.073875 : Epoch  4, Batch    308, Loss  0.871085, Average Loss  0.870925, Time  0.236485
2021-09-22 08:15:39.717069 : Epoch  4, Batch    309, Loss  0.889740, Average Loss  0.871123, Time  0.236416
2021-09-22 08:15:42.362705 : Epoch  4, Batch    310, Loss  0.877331, Average Loss  0.871190, Time  0.236238
2021-09-22 08:15:45.008855 : Epoch  4, Batch    311, Loss  0.851305, Average Loss  0.870956, Time  0.237181
2021-09-22 08:15:47.645911 : Epoch  4, Batch    312, Loss  0.878408, Average Loss  0.871000, Time  0.239166
2021-09-22 08:15:50.300075 : Epoch  4, Batch    313, Loss  0.884429, Average Loss  0.871085, Time  0.236757
2021-09-22 08:15:52.943387 : Epoch  4, Batch    314, Loss  0.862653, Average Loss  0.871061, Time  0.235720
2021-09-22 08:15:55.596420 : Epoch  4, Batch    315, Loss  0.867427, Average Loss  0.871008, Time  0.236384
2021-09-22 08:15:58.285421 : Epoch  4, Batch    316, Loss  0.882393, Average Loss  0.870954, Time  0.237615
2021-09-22 08:16:00.936198 : Epoch  4, Batch    317, Loss  0.865822, Average Loss  0.870886, Time  0.237432
2021-09-22 08:16:03.589406 : Epoch  4, Batch    318, Loss  0.864826, Average Loss  0.870933, Time  0.235750
2021-09-22 08:16:06.236838 : Epoch  4, Batch    319, Loss  0.884995, Average Loss  0.871007, Time  0.236133
2021-09-22 08:16:08.902234 : Epoch  4, Batch    320, Loss  0.856227, Average Loss  0.870788, Time  0.237028
2021-09-22 08:16:11.566577 : Epoch  4, Batch    321, Loss  0.863687, Average Loss  0.870766, Time  0.236884
2021-09-22 08:16:14.209425 : Epoch  4, Batch    322, Loss  0.866177, Average Loss  0.870700, Time  0.236686
2021-09-22 08:16:16.887428 : Epoch  4, Batch    323, Loss  0.883422, Average Loss  0.870767, Time  0.236869
2021-09-22 08:16:19.550481 : Epoch  4, Batch    324, Loss  0.879467, Average Loss  0.870730, Time  0.236492
2021-09-22 08:16:22.207057 : Epoch  4, Batch    325, Loss  0.828314, Average Loss  0.870530, Time  0.237455
2021-09-22 08:16:24.865481 : Epoch  4, Batch    326, Loss  0.870765, Average Loss  0.870662, Time  0.236474
2021-09-22 08:16:27.505989 : Epoch  4, Batch    327, Loss  0.894399, Average Loss  0.870702, Time  0.238083
2021-09-22 08:16:30.225803 : Epoch  4, Batch    328, Loss  0.878075, Average Loss  0.870688, Time  0.237578
2021-09-22 08:16:32.877931 : Epoch  4, Batch    329, Loss  0.876647, Average Loss  0.870798, Time  0.236837
2021-09-22 08:16:35.531872 : Epoch  4, Batch    330, Loss  0.880872, Average Loss  0.870897, Time  0.236895
2021-09-22 08:16:38.194869 : Epoch  4, Batch    331, Loss  0.858058, Average Loss  0.870718, Time  0.237962
2021-09-22 08:16:40.850416 : Epoch  4, Batch    332, Loss  0.869194, Average Loss  0.870733, Time  0.235852
2021-09-22 08:20:49.593781 : CheckPoint: Validation Loss  0.00030017, Best Loss  0.00029452
2021-09-22 08:20:52.281842 : Epoch  4, Batch    333, Loss  0.869821, Average Loss  0.870697, Time  0.263802
2021-09-22 08:20:54.942831 : Epoch  4, Batch    334, Loss  0.904223, Average Loss  0.870802, Time  0.237790
2021-09-22 08:20:57.599588 : Epoch  4, Batch    335, Loss  0.878149, Average Loss  0.870825, Time  0.236031
2021-09-22 08:21:00.265073 : Epoch  4, Batch    336, Loss  0.887215, Average Loss  0.870923, Time  0.235998
2021-09-22 08:21:02.935409 : Epoch  4, Batch    337, Loss  0.880554, Average Loss  0.871061, Time  0.237025
2021-09-22 08:21:05.596439 : Epoch  4, Batch    338, Loss  0.866201, Average Loss  0.871035, Time  0.236549
2021-09-22 08:21:08.261474 : Epoch  4, Batch    339, Loss  0.877564, Average Loss  0.871017, Time  0.236745
2021-09-22 08:21:10.921645 : Epoch  4, Batch    340, Loss  0.888512, Average Loss  0.870987, Time  0.236289
2021-09-22 08:21:13.587204 : Epoch  4, Batch    341, Loss  0.904015, Average Loss  0.871249, Time  0.236432
2021-09-22 08:21:16.250608 : Epoch  4, Batch    342, Loss  0.854708, Average Loss  0.871236, Time  0.235940
2021-09-22 08:21:18.923437 : Epoch  4, Batch    343, Loss  0.867561, Average Loss  0.871260, Time  0.236338
2021-09-22 08:21:21.584425 : Epoch  4, Batch    344, Loss  0.886062, Average Loss  0.871445, Time  0.236418
2021-09-22 08:21:24.230430 : Epoch  4, Batch    345, Loss  0.877061, Average Loss  0.871396, Time  0.235804
2021-09-22 08:21:26.892634 : Epoch  4, Batch    346, Loss  0.866836, Average Loss  0.871293, Time  0.235708
2021-09-22 08:21:29.559415 : Epoch  4, Batch    347, Loss  0.877303, Average Loss  0.871259, Time  0.236604
2021-09-22 08:21:32.227053 : Epoch  4, Batch    348, Loss  0.844522, Average Loss  0.871134, Time  0.236544
2021-09-22 08:21:34.887530 : Epoch  4, Batch    349, Loss  0.867262, Average Loss  0.871053, Time  0.236480
2021-09-22 08:21:37.549885 : Epoch  4, Batch    350, Loss  0.857496, Average Loss  0.871078, Time  0.236141
2021-09-22 08:21:40.225455 : Epoch  4, Batch    351, Loss  0.852485, Average Loss  0.871018, Time  0.237579
2021-09-22 08:21:42.884463 : Epoch  4, Batch    352, Loss  0.903449, Average Loss  0.871189, Time  0.235674
2021-09-22 08:21:45.533640 : Epoch  4, Batch    353, Loss  0.882939, Average Loss  0.871315, Time  0.236742
2021-09-22 08:21:48.200421 : Epoch  4, Batch    354, Loss  0.875597, Average Loss  0.871330, Time  0.235830
2021-09-22 08:21:50.880899 : Epoch  4, Batch    355, Loss  0.886456, Average Loss  0.871492, Time  0.236744
2021-09-22 08:21:53.556996 : Epoch  4, Batch    356, Loss  0.890331, Average Loss  0.871611, Time  0.235654
2021-09-22 08:21:56.226423 : Epoch  4, Batch    357, Loss  0.880508, Average Loss  0.871612, Time  0.236630
2021-09-22 08:21:58.891723 : Epoch  4, Batch    358, Loss  0.876143, Average Loss  0.871554, Time  0.236066
2021-09-22 08:22:01.573948 : Epoch  4, Batch    359, Loss  0.892543, Average Loss  0.871616, Time  0.238202
2021-09-22 08:22:04.230120 : Epoch  4, Batch    360, Loss  0.868263, Average Loss  0.871548, Time  0.236893
2021-09-22 08:22:06.888389 : Epoch  4, Batch    361, Loss  0.880282, Average Loss  0.871631, Time  0.236206
2021-09-22 08:22:09.555142 : Epoch  4, Batch    362, Loss  0.883034, Average Loss  0.871714, Time  0.236948
2021-09-22 08:22:12.230908 : Epoch  4, Batch    363, Loss  0.868009, Average Loss  0.871721, Time  0.239137
2021-09-22 08:22:14.897414 : Epoch  4, Batch    364, Loss  0.872348, Average Loss  0.871683, Time  0.236044
2021-09-22 08:22:17.578444 : Epoch  4, Batch    365, Loss  0.840198, Average Loss  0.871447, Time  0.237439
2021-09-22 08:22:20.270219 : Epoch  4, Batch    366, Loss  0.854744, Average Loss  0.871437, Time  0.237789
2021-09-22 08:22:22.931407 : Epoch  4, Batch    367, Loss  0.875655, Average Loss  0.871430, Time  0.236420
2021-09-22 08:22:25.591931 : Epoch  4, Batch    368, Loss  0.861584, Average Loss  0.871464, Time  0.236079
2021-09-22 08:22:28.246911 : Epoch  4, Batch    369, Loss  0.872026, Average Loss  0.871484, Time  0.236659
2021-09-22 08:22:30.896931 : Epoch  4, Batch    370, Loss  0.866456, Average Loss  0.871343, Time  0.237092
2021-09-22 08:22:33.561197 : Epoch  4, Batch    371, Loss  0.864124, Average Loss  0.871274, Time  0.240340
2021-09-22 08:22:36.259434 : Epoch  4, Batch    372, Loss  0.876558, Average Loss  0.871198, Time  0.236294
2021-09-22 08:22:38.910090 : Epoch  4, Batch    373, Loss  0.851153, Average Loss  0.871072, Time  0.237053
2021-09-22 08:22:41.574569 : Epoch  4, Batch    374, Loss  0.856930, Average Loss  0.870934, Time  0.236529
2021-09-22 08:22:44.225237 : Epoch  4, Batch    375, Loss  0.869872, Average Loss  0.870901, Time  0.240008
2021-09-22 08:22:46.869604 : Epoch  4, Batch    376, Loss  0.860750, Average Loss  0.870821, Time  0.236370
2021-09-22 08:22:49.550613 : Epoch  4, Batch    377, Loss  0.893006, Average Loss  0.871091, Time  0.238726
2021-09-22 08:22:52.201603 : Epoch  4, Batch    378, Loss  0.886397, Average Loss  0.871081, Time  0.237045
2021-09-22 08:22:54.867761 : Epoch  4, Batch    379, Loss  0.883364, Average Loss  0.871063, Time  0.237445
2021-09-22 08:22:57.525950 : Epoch  4, Batch    380, Loss  0.883134, Average Loss  0.871092, Time  0.235884
2021-09-22 08:23:00.193798 : Epoch  4, Batch    381, Loss  0.867840, Average Loss  0.870992, Time  0.237060
2021-09-22 08:23:02.858401 : Epoch  4, Batch    382, Loss  0.858079, Average Loss  0.870995, Time  0.237148
2021-09-22 08:23:05.511161 : Epoch  4, Batch    383, Loss  0.874041, Average Loss  0.870995, Time  0.237209
2021-09-22 08:23:08.189916 : Epoch  4, Batch    384, Loss  0.873520, Average Loss  0.871072, Time  0.237332
2021-09-22 08:23:10.847469 : Epoch  4, Batch    385, Loss  0.870101, Average Loss  0.871020, Time  0.237068
2021-09-22 08:23:13.523133 : Epoch  4, Batch    386, Loss  0.870491, Average Loss  0.871006, Time  0.238007
2021-09-22 08:23:16.183422 : Epoch  4, Batch    387, Loss  0.846814, Average Loss  0.870937, Time  0.236176
2021-09-22 08:23:18.844424 : Epoch  4, Batch    388, Loss  0.902429, Average Loss  0.871164, Time  0.236964
2021-09-22 08:23:21.514084 : Epoch  4, Batch    389, Loss  0.857548, Average Loss  0.871027, Time  0.237931
2021-09-22 08:23:24.180889 : Epoch  4, Batch    390, Loss  0.860465, Average Loss  0.870964, Time  0.237084
2021-09-22 08:23:26.853198 : Epoch  4, Batch    391, Loss  0.877342, Average Loss  0.870920, Time  0.237038
2021-09-22 08:23:29.518230 : Epoch  4, Batch    392, Loss  0.864816, Average Loss  0.870866, Time  0.237663
2021-09-22 08:23:32.181411 : Epoch  4, Batch    393, Loss  0.873486, Average Loss  0.870891, Time  0.236832
2021-09-22 08:23:34.892421 : Epoch  4, Batch    394, Loss  0.865172, Average Loss  0.871016, Time  0.237826
2021-09-22 08:23:37.586202 : Epoch  4, Batch    395, Loss  0.858375, Average Loss  0.870984, Time  0.235937
2021-09-22 08:23:40.265424 : Epoch  4, Batch    396, Loss  0.857417, Average Loss  0.870879, Time  0.236574
2021-09-22 08:23:42.936412 : Epoch  4, Batch    397, Loss  0.881836, Average Loss  0.870961, Time  0.239212
2021-09-22 08:23:45.595052 : Epoch  4, Batch    398, Loss  0.885981, Average Loss  0.871097, Time  0.239503
2021-09-22 08:23:48.253917 : Epoch  4, Batch    399, Loss  0.859591, Average Loss  0.870979, Time  0.239464
2021-09-22 08:23:50.916396 : Epoch  4, Batch    400, Loss  0.866496, Average Loss  0.871007, Time  0.239353
2021-09-22 08:23:53.572068 : Epoch  4, Batch    401, Loss  0.864811, Average Loss  0.870869, Time  0.236608
2021-09-22 08:23:56.256057 : Epoch  4, Batch    402, Loss  0.867543, Average Loss  0.870853, Time  0.238199
2021-09-22 08:23:58.947396 : Epoch  4, Batch    403, Loss  0.866469, Average Loss  0.870887, Time  0.237119
2021-09-22 08:24:01.610839 : Epoch  4, Batch    404, Loss  0.887835, Average Loss  0.870883, Time  0.236541
2021-09-22 08:24:04.276850 : Epoch  4, Batch    405, Loss  0.853204, Average Loss  0.870814, Time  0.238251
2021-09-22 08:24:06.933019 : Epoch  4, Batch    406, Loss  0.872751, Average Loss  0.870823, Time  0.236480
2021-09-22 08:24:09.592707 : Epoch  4, Batch    407, Loss  0.861423, Average Loss  0.870854, Time  0.237644
2021-09-22 08:24:12.270668 : Epoch  4, Batch    408, Loss  0.838416, Average Loss  0.870765, Time  0.237187
2021-09-22 08:24:14.960438 : Epoch  4, Batch    409, Loss  0.888706, Average Loss  0.870775, Time  0.237232
2021-09-22 08:24:17.634048 : Epoch  4, Batch    410, Loss  0.867880, Average Loss  0.870770, Time  0.237381
2021-09-22 08:24:20.300383 : Epoch  4, Batch    411, Loss  0.882955, Average Loss  0.870829, Time  0.237660
2021-09-22 08:24:22.964408 : Epoch  4, Batch    412, Loss  0.884921, Average Loss  0.870878, Time  0.236270
2021-09-22 08:24:25.638442 : Epoch  4, Batch    413, Loss  0.874662, Average Loss  0.870891, Time  0.236380
2021-09-22 08:24:28.310416 : Epoch  4, Batch    414, Loss  0.866530, Average Loss  0.870791, Time  0.236700
2021-09-22 08:24:30.995882 : Epoch  4, Batch    415, Loss  0.851731, Average Loss  0.870639, Time  0.237350
2021-09-22 08:24:33.656426 : Epoch  4, Batch    416, Loss  0.877212, Average Loss  0.870683, Time  0.235559
2021-09-22 08:24:36.322863 : Epoch  4, Batch    417, Loss  0.864959, Average Loss  0.870770, Time  0.237127
2021-09-22 08:24:39.001406 : Epoch  4, Batch    418, Loss  0.880250, Average Loss  0.870771, Time  0.236463
2021-09-22 08:24:41.674962 : Epoch  4, Batch    419, Loss  0.891442, Average Loss  0.870844, Time  0.236618
2021-09-22 08:24:44.343899 : Epoch  4, Batch    420, Loss  0.862369, Average Loss  0.870883, Time  0.236565
2021-09-22 08:24:47.008044 : Epoch  4, Batch    421, Loss  0.864572, Average Loss  0.870922, Time  0.236938
2021-09-22 08:24:49.666847 : Epoch  4, Batch    422, Loss  0.858449, Average Loss  0.870927, Time  0.236406
2021-09-22 08:24:52.354944 : Epoch  4, Batch    423, Loss  0.871474, Average Loss  0.870948, Time  0.236969
2021-09-22 08:24:55.021232 : Epoch  4, Batch    424, Loss  0.874704, Average Loss  0.870872, Time  0.237679
2021-09-22 08:24:57.679895 : Epoch  4, Batch    425, Loss  0.864127, Average Loss  0.870928, Time  0.237756
2021-09-22 08:25:00.331857 : Epoch  4, Batch    426, Loss  0.860305, Average Loss  0.870950, Time  0.236972
2021-09-22 08:25:03.018185 : Epoch  4, Batch    427, Loss  0.875561, Average Loss  0.871011, Time  0.239915
2021-09-22 08:25:04.302840 : Epoch  4, Batch    428, Loss  0.883659, Average Loss  0.871095, Time  0.146638
2021-09-22 08:25:06.979020 : Epoch  4, Batch    429, Loss  0.861825, Average Loss  0.871127, Time  0.253876
2021-09-22 08:25:09.655290 : Epoch  4, Batch    430, Loss  0.859034, Average Loss  0.871089, Time  0.242587
2021-09-22 08:25:12.335082 : Epoch  4, Batch    431, Loss  0.880992, Average Loss  0.871207, Time  0.237504
2021-09-22 08:25:24.247922 : Epoch  4, Batch    432, Loss  0.866508, Average Loss  0.871231, Time  0.240385
2021-09-22 08:29:33.163768 : CheckPoint: Validation Loss  0.00029922, Best Loss  0.00029452
2021-09-22 08:29:35.826184 : Epoch  4, Batch    433, Loss  0.882993, Average Loss  0.871332, Time  0.237710
2021-09-22 08:29:38.504071 : Epoch  4, Batch    434, Loss  0.867109, Average Loss  0.871295, Time  0.236410
2021-09-22 08:29:41.161376 : Epoch  4, Batch    435, Loss  0.841338, Average Loss  0.871201, Time  0.236110
2021-09-22 08:29:43.830132 : Epoch  4, Batch    436, Loss  0.864291, Average Loss  0.871172, Time  0.236555
2021-09-22 08:29:46.502902 : Epoch  4, Batch    437, Loss  0.859860, Average Loss  0.871171, Time  0.237592
2021-09-22 08:29:49.167444 : Epoch  4, Batch    438, Loss  0.862858, Average Loss  0.871159, Time  0.237254
2021-09-22 08:29:51.841638 : Epoch  4, Batch    439, Loss  0.863342, Average Loss  0.871186, Time  0.237818
2021-09-22 08:29:54.513611 : Epoch  4, Batch    440, Loss  0.879912, Average Loss  0.871319, Time  0.237684
2021-09-22 08:29:57.180042 : Epoch  4, Batch    441, Loss  0.881857, Average Loss  0.871347, Time  0.236539
2021-09-22 08:29:59.877985 : Epoch  4, Batch    442, Loss  0.880547, Average Loss  0.871499, Time  0.237019
2021-09-22 08:30:02.559833 : Epoch  4, Batch    443, Loss  0.867371, Average Loss  0.871631, Time  0.237601
2021-09-22 08:30:05.253857 : Epoch  4, Batch    444, Loss  0.871100, Average Loss  0.871614, Time  0.236687
2021-09-22 08:30:07.920119 : Epoch  4, Batch    445, Loss  0.863571, Average Loss  0.871580, Time  0.236385
2021-09-22 08:30:10.639434 : Epoch  4, Batch    446, Loss  0.862713, Average Loss  0.871711, Time  0.237033
2021-09-22 08:30:13.314078 : Epoch  4, Batch    447, Loss  0.878748, Average Loss  0.871847, Time  0.236455
2021-09-22 08:30:15.990162 : Epoch  4, Batch    448, Loss  0.864967, Average Loss  0.871905, Time  0.237531
2021-09-22 08:30:18.645425 : Epoch  4, Batch    449, Loss  0.894576, Average Loss  0.871986, Time  0.236295
2021-09-22 08:30:21.302918 : Epoch  4, Batch    450, Loss  0.863984, Average Loss  0.872033, Time  0.237363
2021-09-22 08:30:23.958250 : Epoch  4, Batch    451, Loss  0.877153, Average Loss  0.872118, Time  0.236600
2021-09-22 08:30:26.602946 : Epoch  4, Batch    452, Loss  0.864887, Average Loss  0.872065, Time  0.236307
2021-09-22 08:30:29.254962 : Epoch  4, Batch    453, Loss  0.856399, Average Loss  0.871978, Time  0.236471
2021-09-22 08:30:31.906943 : Epoch  4, Batch    454, Loss  0.860658, Average Loss  0.871903, Time  0.237094
2021-09-22 08:30:34.565588 : Epoch  4, Batch    455, Loss  0.883096, Average Loss  0.871999, Time  0.236929
2021-09-22 08:30:37.240207 : Epoch  4, Batch    456, Loss  0.880522, Average Loss  0.872080, Time  0.236935
2021-09-22 08:30:39.928429 : Epoch  4, Batch    457, Loss  0.874224, Average Loss  0.872134, Time  0.236236
2021-09-22 08:30:42.594484 : Epoch  4, Batch    458, Loss  0.866462, Average Loss  0.872032, Time  0.236882
2021-09-22 08:30:45.257091 : Epoch  4, Batch    459, Loss  0.857351, Average Loss  0.871935, Time  0.237499
2021-09-22 08:30:47.929422 : Epoch  4, Batch    460, Loss  0.873325, Average Loss  0.871890, Time  0.238016
2021-09-22 08:30:50.599050 : Epoch  4, Batch    461, Loss  0.861460, Average Loss  0.871793, Time  0.236229
2021-09-22 08:30:53.267536 : Epoch  4, Batch    462, Loss  0.855102, Average Loss  0.871646, Time  0.238161
2021-09-22 08:30:56.011422 : Epoch  4, Batch    463, Loss  0.886772, Average Loss  0.871754, Time  0.237867
2021-09-22 08:30:58.682081 : Epoch  4, Batch    464, Loss  0.881459, Average Loss  0.871752, Time  0.237123
2021-09-22 08:31:01.348443 : Epoch  4, Batch    465, Loss  0.863922, Average Loss  0.871687, Time  0.238932
2021-09-22 08:31:04.064854 : Epoch  4, Batch    466, Loss  0.871586, Average Loss  0.871724, Time  0.261464
2021-09-22 08:31:06.734422 : Epoch  4, Batch    467, Loss  0.883988, Average Loss  0.871765, Time  0.237050
2021-09-22 08:31:09.385406 : Epoch  4, Batch    468, Loss  0.871263, Average Loss  0.871773, Time  0.238260
2021-09-22 08:31:12.053920 : Epoch  4, Batch    469, Loss  0.855436, Average Loss  0.871594, Time  0.237061
2021-09-22 08:31:14.712974 : Epoch  4, Batch    470, Loss  0.847136, Average Loss  0.871475, Time  0.236405
2021-09-22 08:31:17.381419 : Epoch  4, Batch    471, Loss  0.879156, Average Loss  0.871538, Time  0.237075
2021-09-22 08:31:20.059948 : Epoch  4, Batch    472, Loss  0.853689, Average Loss  0.871393, Time  0.238066
2021-09-22 08:31:22.722418 : Epoch  4, Batch    473, Loss  0.871718, Average Loss  0.871459, Time  0.236423
2021-09-22 08:31:25.426941 : Epoch  4, Batch    474, Loss  0.862376, Average Loss  0.871385, Time  0.237043
2021-09-22 08:31:28.092012 : Epoch  4, Batch    475, Loss  0.851803, Average Loss  0.871193, Time  0.236761
2021-09-22 08:31:30.748975 : Epoch  4, Batch    476, Loss  0.855300, Average Loss  0.871124, Time  0.237036
2021-09-22 08:31:33.424868 : Epoch  4, Batch    477, Loss  0.878123, Average Loss  0.871111, Time  0.236242
2021-09-22 08:31:36.092072 : Epoch  4, Batch    478, Loss  0.863061, Average Loss  0.871113, Time  0.237647
2021-09-22 08:31:38.753828 : Epoch  4, Batch    479, Loss  0.878196, Average Loss  0.871093, Time  0.237784
2021-09-22 08:31:41.422949 : Epoch  4, Batch    480, Loss  0.867879, Average Loss  0.871077, Time  0.237484
2021-09-22 08:31:44.080426 : Epoch  4, Batch    481, Loss  0.893984, Average Loss  0.871215, Time  0.236406
2021-09-22 08:31:46.740868 : Epoch  4, Batch    482, Loss  0.876445, Average Loss  0.871131, Time  0.237279
2021-09-22 08:31:49.412032 : Epoch  4, Batch    483, Loss  0.868107, Average Loss  0.871056, Time  0.237159
2021-09-22 08:31:52.126394 : Epoch  4, Batch    484, Loss  0.864891, Average Loss  0.871047, Time  0.236106
2021-09-22 08:31:54.786187 : Epoch  4, Batch    485, Loss  0.880987, Average Loss  0.871063, Time  0.237235
2021-09-22 08:31:57.448009 : Epoch  4, Batch    486, Loss  0.851158, Average Loss  0.871061, Time  0.237836
2021-09-22 08:32:00.097242 : Epoch  4, Batch    487, Loss  0.874056, Average Loss  0.871050, Time  0.237818
2021-09-22 08:32:02.744435 : Epoch  4, Batch    488, Loss  0.869563, Average Loss  0.871150, Time  0.237051
2021-09-22 08:32:05.404875 : Epoch  4, Batch    489, Loss  0.835506, Average Loss  0.870971, Time  0.236609
2021-09-22 08:32:08.077004 : Epoch  4, Batch    490, Loss  0.847992, Average Loss  0.870862, Time  0.237549
2021-09-22 08:32:10.732150 : Epoch  4, Batch    491, Loss  0.877374, Average Loss  0.870859, Time  0.237024
2021-09-22 08:32:13.401407 : Epoch  4, Batch    492, Loss  0.852581, Average Loss  0.870787, Time  0.237795
2021-09-22 08:32:16.071415 : Epoch  4, Batch    493, Loss  0.892049, Average Loss  0.870866, Time  0.236455
2021-09-22 08:32:18.728922 : Epoch  4, Batch    494, Loss  0.863582, Average Loss  0.870751, Time  0.236663
2021-09-22 08:32:21.388299 : Epoch  4, Batch    495, Loss  0.866806, Average Loss  0.870705, Time  0.237979
2021-09-22 08:32:24.044869 : Epoch  4, Batch    496, Loss  0.887926, Average Loss  0.870784, Time  0.236703
2021-09-22 08:32:26.696928 : Epoch  4, Batch    497, Loss  0.873287, Average Loss  0.870669, Time  0.237113
2021-09-22 08:32:29.360598 : Epoch  4, Batch    498, Loss  0.848459, Average Loss  0.870609, Time  0.236215
2021-09-22 08:32:32.029681 : Epoch  4, Batch    499, Loss  0.870663, Average Loss  0.870639, Time  0.242824
2021-09-22 08:32:34.688072 : Epoch  4, Batch    500, Loss  0.883347, Average Loss  0.870713, Time  0.237596
2021-09-22 08:32:37.355021 : Epoch  4, Batch    501, Loss  0.882020, Average Loss  0.870825, Time  0.240276
2021-09-22 08:32:40.024240 : Epoch  4, Batch    502, Loss  0.869633, Average Loss  0.870712, Time  0.237425
2021-09-22 08:32:42.697432 : Epoch  4, Batch    503, Loss  0.866509, Average Loss  0.870721, Time  0.236795
2021-09-22 08:32:45.367000 : Epoch  4, Batch    504, Loss  0.890227, Average Loss  0.870719, Time  0.236508
2021-09-22 08:32:48.070418 : Epoch  4, Batch    505, Loss  0.847299, Average Loss  0.870657, Time  0.237599
2021-09-22 08:32:50.757746 : Epoch  4, Batch    506, Loss  0.873778, Average Loss  0.870613, Time  0.236872
2021-09-22 08:32:53.410886 : Epoch  4, Batch    507, Loss  0.878568, Average Loss  0.870598, Time  0.236896
2021-09-22 08:32:56.057100 : Epoch  4, Batch    508, Loss  0.881820, Average Loss  0.870652, Time  0.236995
2021-09-22 08:32:58.706624 : Epoch  4, Batch    509, Loss  0.869295, Average Loss  0.870550, Time  0.239171
2021-09-22 08:33:01.346433 : Epoch  4, Batch    510, Loss  0.848878, Average Loss  0.870408, Time  0.236503
2021-09-22 08:33:03.985434 : Epoch  4, Batch    511, Loss  0.871320, Average Loss  0.870508, Time  0.235592
2021-09-22 08:33:06.643094 : Epoch  4, Batch    512, Loss  0.851767, Average Loss  0.870374, Time  0.236964
2021-09-22 08:33:09.292409 : Epoch  4, Batch    513, Loss  0.874574, Average Loss  0.870325, Time  0.235879
2021-09-22 08:33:11.933126 : Epoch  4, Batch    514, Loss  0.870138, Average Loss  0.870363, Time  0.236236
2021-09-22 08:33:14.589810 : Epoch  4, Batch    515, Loss  0.897854, Average Loss  0.870515, Time  0.236468
2021-09-22 08:33:17.237815 : Epoch  4, Batch    516, Loss  0.872849, Average Loss  0.870467, Time  0.236839
2021-09-22 08:33:19.946414 : Epoch  4, Batch    517, Loss  0.864170, Average Loss  0.870459, Time  0.236667
2021-09-22 08:33:22.598056 : Epoch  4, Batch    518, Loss  0.877006, Average Loss  0.870520, Time  0.237291
2021-09-22 08:33:25.260424 : Epoch  4, Batch    519, Loss  0.855151, Average Loss  0.870370, Time  0.236164
2021-09-22 08:33:27.926883 : Epoch  4, Batch    520, Loss  0.864840, Average Loss  0.870414, Time  0.237148
2021-09-22 08:33:30.589431 : Epoch  4, Batch    521, Loss  0.887061, Average Loss  0.870530, Time  0.236615
2021-09-22 08:33:33.240922 : Epoch  4, Batch    522, Loss  0.863870, Average Loss  0.870519, Time  0.236898
2021-09-22 08:33:35.874418 : Epoch  4, Batch    523, Loss  0.903608, Average Loss  0.870620, Time  0.237429
2021-09-22 08:33:38.539834 : Epoch  4, Batch    524, Loss  0.888833, Average Loss  0.870667, Time  0.237399
2021-09-22 08:33:41.192217 : Epoch  4, Batch    525, Loss  0.875640, Average Loss  0.870903, Time  0.236447
2021-09-22 08:33:43.816897 : Epoch  4, Batch    526, Loss  0.862813, Average Loss  0.870863, Time  0.235794
2021-09-22 08:33:46.462554 : Epoch  4, Batch    527, Loss  0.898846, Average Loss  0.870886, Time  0.236860
2021-09-22 08:33:49.105596 : Epoch  4, Batch    528, Loss  0.851991, Average Loss  0.870755, Time  0.237187
2021-09-22 08:33:51.750821 : Epoch  4, Batch    529, Loss  0.874873, Average Loss  0.870746, Time  0.236125
2021-09-22 08:33:54.410481 : Epoch  4, Batch    530, Loss  0.847060, Average Loss  0.870577, Time  0.237532
2021-09-22 08:33:57.054967 : Epoch  4, Batch    531, Loss  0.859748, Average Loss  0.870586, Time  0.235960
2021-09-22 08:33:59.698112 : Epoch  4, Batch    532, Loss  0.862541, Average Loss  0.870553, Time  0.236600
2021-09-22 08:38:08.741741 : CheckPoint: Validation Loss  0.00030839, Best Loss  0.00029452
2021-09-22 08:38:11.393208 : Epoch  4, Batch    533, Loss  0.856380, Average Loss  0.870485, Time  0.237370
2021-09-22 08:38:14.040069 : Epoch  4, Batch    534, Loss  0.857129, Average Loss  0.870250, Time  0.236513
2021-09-22 08:38:16.699681 : Epoch  4, Batch    535, Loss  0.865743, Average Loss  0.870188, Time  0.236350
2021-09-22 08:38:19.343373 : Epoch  4, Batch    536, Loss  0.871282, Average Loss  0.870108, Time  0.235577
2021-09-22 08:38:21.990877 : Epoch  4, Batch    537, Loss  0.886168, Average Loss  0.870136, Time  0.235651
2021-09-22 08:38:24.640410 : Epoch  4, Batch    538, Loss  0.864904, Average Loss  0.870130, Time  0.235997
2021-09-22 08:38:27.282363 : Epoch  4, Batch    539, Loss  0.860146, Average Loss  0.870043, Time  0.235551
2021-09-22 08:38:29.938415 : Epoch  4, Batch    540, Loss  0.877813, Average Loss  0.869989, Time  0.236817
2021-09-22 08:38:32.580019 : Epoch  4, Batch    541, Loss  0.858525, Average Loss  0.869762, Time  0.236148
2021-09-22 08:38:35.221472 : Epoch  4, Batch    542, Loss  0.862078, Average Loss  0.869799, Time  0.236909
2021-09-22 08:38:37.865930 : Epoch  4, Batch    543, Loss  0.857038, Average Loss  0.869746, Time  0.237723
2021-09-22 08:38:40.501424 : Epoch  4, Batch    544, Loss  0.864168, Average Loss  0.869636, Time  0.237157
2021-09-22 08:38:43.149395 : Epoch  4, Batch    545, Loss  0.867486, Average Loss  0.869589, Time  0.236133
2021-09-22 08:38:45.809932 : Epoch  4, Batch    546, Loss  0.864259, Average Loss  0.869576, Time  0.236927
2021-09-22 08:38:48.461877 : Epoch  4, Batch    547, Loss  0.873389, Average Loss  0.869556, Time  0.236374
2021-09-22 08:38:51.123772 : Epoch  4, Batch    548, Loss  0.851079, Average Loss  0.869589, Time  0.236671
2021-09-22 08:38:53.779704 : Epoch  4, Batch    549, Loss  0.876011, Average Loss  0.869633, Time  0.236318
2021-09-22 08:38:56.456873 : Epoch  4, Batch    550, Loss  0.881703, Average Loss  0.869754, Time  0.237896
2021-09-22 08:38:59.117009 : Epoch  4, Batch    551, Loss  0.864181, Average Loss  0.869812, Time  0.235640
2021-09-22 08:39:01.762706 : Epoch  4, Batch    552, Loss  0.892041, Average Loss  0.869755, Time  0.236666
2021-09-22 08:39:04.410060 : Epoch  4, Batch    553, Loss  0.857698, Average Loss  0.869629, Time  0.236251
2021-09-22 08:39:07.045875 : Epoch  4, Batch    554, Loss  0.875839, Average Loss  0.869630, Time  0.236913
2021-09-22 08:39:09.705412 : Epoch  4, Batch    555, Loss  0.860799, Average Loss  0.869502, Time  0.238428
2021-09-22 08:39:12.343416 : Epoch  4, Batch    556, Loss  0.869653, Average Loss  0.869398, Time  0.236040
2021-09-22 08:39:15.006018 : Epoch  4, Batch    557, Loss  0.863138, Average Loss  0.869312, Time  0.235851
2021-09-22 08:39:17.648057 : Epoch  4, Batch    558, Loss  0.861181, Average Loss  0.869237, Time  0.236905
2021-09-22 08:39:20.291154 : Epoch  4, Batch    559, Loss  0.874342, Average Loss  0.869146, Time  0.235853
2021-09-22 08:39:22.934387 : Epoch  4, Batch    560, Loss  0.882737, Average Loss  0.869218, Time  0.236011
2021-09-22 08:39:25.579404 : Epoch  4, Batch    561, Loss  0.854431, Average Loss  0.869089, Time  0.236574
2021-09-22 08:39:28.230913 : Epoch  4, Batch    562, Loss  0.842948, Average Loss  0.868889, Time  0.236608
2021-09-22 08:39:30.890406 : Epoch  4, Batch    563, Loss  0.879546, Average Loss  0.868946, Time  0.237292
2021-09-22 08:39:33.549883 : Epoch  4, Batch    564, Loss  0.865875, Average Loss  0.868914, Time  0.236154
2021-09-22 08:39:36.206946 : Epoch  4, Batch    565, Loss  0.873047, Average Loss  0.869078, Time  0.236485
2021-09-22 08:39:38.848460 : Epoch  4, Batch    566, Loss  0.870339, Average Loss  0.869156, Time  0.236819
2021-09-22 08:39:41.506823 : Epoch  4, Batch    567, Loss  0.888824, Average Loss  0.869222, Time  0.237468
2021-09-22 08:39:44.156397 : Epoch  4, Batch    568, Loss  0.899319, Average Loss  0.869411, Time  0.236716
2021-09-22 08:39:46.820177 : Epoch  4, Batch    569, Loss  0.881851, Average Loss  0.869460, Time  0.236937
2021-09-22 08:39:49.527319 : Epoch  4, Batch    570, Loss  0.874337, Average Loss  0.869499, Time  0.237113
2021-09-22 08:39:52.186674 : Epoch  4, Batch    571, Loss  0.881429, Average Loss  0.869586, Time  0.236371
2021-09-22 08:39:54.824259 : Epoch  4, Batch    572, Loss  0.877018, Average Loss  0.869588, Time  0.236665
2021-09-22 08:39:57.474288 : Epoch  4, Batch    573, Loss  0.864771, Average Loss  0.869656, Time  0.236542
2021-09-22 08:40:00.123265 : Epoch  4, Batch    574, Loss  0.852277, Average Loss  0.869633, Time  0.236639
2021-09-22 08:40:02.772877 : Epoch  4, Batch    575, Loss  0.880232, Average Loss  0.869685, Time  0.237788
2021-09-22 08:40:05.432863 : Epoch  4, Batch    576, Loss  0.872128, Average Loss  0.869741, Time  0.236918
2021-09-22 08:40:08.079828 : Epoch  4, Batch    577, Loss  0.891874, Average Loss  0.869736, Time  0.237110
2021-09-22 08:40:10.723004 : Epoch  4, Batch    578, Loss  0.865345, Average Loss  0.869631, Time  0.236120
2021-09-22 08:40:13.365196 : Epoch  4, Batch    579, Loss  0.880209, Average Loss  0.869615, Time  0.236688
2021-09-22 08:40:16.002423 : Epoch  4, Batch    580, Loss  0.859299, Average Loss  0.869496, Time  0.236069
2021-09-22 08:40:18.632806 : Epoch  4, Batch    581, Loss  0.869153, Average Loss  0.869502, Time  0.236865
2021-09-22 08:40:21.260403 : Epoch  4, Batch    582, Loss  0.842168, Average Loss  0.869423, Time  0.235374
2021-09-22 08:40:23.891869 : Epoch  4, Batch    583, Loss  0.864673, Average Loss  0.869376, Time  0.236234
2021-09-22 08:40:26.532980 : Epoch  4, Batch    584, Loss  0.871437, Average Loss  0.869365, Time  0.236091
2021-09-22 08:40:29.171939 : Epoch  4, Batch    585, Loss  0.873704, Average Loss  0.869383, Time  0.236972
2021-09-22 08:40:31.792998 : Epoch  4, Batch    586, Loss  0.864611, Average Loss  0.869354, Time  0.236997
2021-09-22 08:40:34.417985 : Epoch  4, Batch    587, Loss  0.870730, Average Loss  0.869474, Time  0.235996
2021-09-22 08:40:37.035976 : Epoch  4, Batch    588, Loss  0.866096, Average Loss  0.869292, Time  0.236415
2021-09-22 08:40:39.699960 : Epoch  4, Batch    589, Loss  0.856812, Average Loss  0.869288, Time  0.239607
2021-09-22 08:40:42.345370 : Epoch  4, Batch    590, Loss  0.873872, Average Loss  0.869355, Time  0.236662
2021-09-22 08:40:45.012019 : Epoch  4, Batch    591, Loss  0.891385, Average Loss  0.869425, Time  0.235665
2021-09-22 08:40:47.660717 : Epoch  4, Batch    592, Loss  0.882283, Average Loss  0.869513, Time  0.237299
2021-09-22 08:40:50.307628 : Epoch  4, Batch    593, Loss  0.871363, Average Loss  0.869502, Time  0.236267
2021-09-22 08:40:52.994437 : Epoch  4, Batch    594, Loss  0.872057, Average Loss  0.869537, Time  0.236586
2021-09-22 08:40:55.656534 : Epoch  4, Batch    595, Loss  0.862622, Average Loss  0.869558, Time  0.235471
2021-09-22 08:40:58.354359 : Epoch  4, Batch    596, Loss  0.860080, Average Loss  0.869571, Time  0.237438
2021-09-22 08:41:01.037435 : Epoch  4, Batch    597, Loss  0.869801, Average Loss  0.869511, Time  0.236703
2021-09-22 08:41:03.692844 : Epoch  4, Batch    598, Loss  0.885861, Average Loss  0.869510, Time  0.236592
2021-09-22 08:41:06.348867 : Epoch  4, Batch    599, Loss  0.852239, Average Loss  0.869474, Time  0.236028
2021-09-22 08:41:09.001055 : Epoch  4, Batch    600, Loss  0.879068, Average Loss  0.869536, Time  0.236924
2021-09-22 08:41:11.655122 : Epoch  4, Batch    601, Loss  0.867590, Average Loss  0.869550, Time  0.236646
2021-09-22 08:41:14.295401 : Epoch  4, Batch    602, Loss  0.861165, Average Loss  0.869518, Time  0.236192
2021-09-22 08:41:16.949415 : Epoch  4, Batch    603, Loss  0.861208, Average Loss  0.869492, Time  0.236505
2021-09-22 08:41:19.600835 : Epoch  4, Batch    604, Loss  0.868780, Average Loss  0.869397, Time  0.236373
2021-09-22 08:41:22.250821 : Epoch  4, Batch    605, Loss  0.848780, Average Loss  0.869375, Time  0.236178
2021-09-22 08:41:24.918115 : Epoch  4, Batch    606, Loss  0.879318, Average Loss  0.869408, Time  0.236570
2021-09-22 08:41:27.558880 : Epoch  4, Batch    607, Loss  0.862685, Average Loss  0.869414, Time  0.236616
2021-09-22 08:41:30.229425 : Epoch  4, Batch    608, Loss  0.874023, Average Loss  0.869592, Time  0.237196
2021-09-22 08:41:32.884911 : Epoch  4, Batch    609, Loss  0.885687, Average Loss  0.869577, Time  0.237522
2021-09-22 08:41:35.530813 : Epoch  4, Batch    610, Loss  0.886383, Average Loss  0.869669, Time  0.236724
2021-09-22 08:41:38.176070 : Epoch  4, Batch    611, Loss  0.878652, Average Loss  0.869648, Time  0.237072
2021-09-22 08:41:40.853077 : Epoch  4, Batch    612, Loss  0.874921, Average Loss  0.869598, Time  0.236145
2021-09-22 08:41:43.483080 : Epoch  4, Batch    613, Loss  0.865905, Average Loss  0.869554, Time  0.236408
2021-09-22 08:41:46.136834 : Epoch  4, Batch    614, Loss  0.861400, Average Loss  0.869528, Time  0.237298
2021-09-22 08:41:48.797966 : Epoch  4, Batch    615, Loss  0.874229, Average Loss  0.869641, Time  0.236856
2021-09-22 08:41:51.433031 : Epoch  4, Batch    616, Loss  0.881969, Average Loss  0.869665, Time  0.236568
2021-09-22 08:41:54.080215 : Epoch  4, Batch    617, Loss  0.872214, Average Loss  0.869701, Time  0.235948
2021-09-22 08:41:56.738054 : Epoch  4, Batch    618, Loss  0.846861, Average Loss  0.869534, Time  0.236914
2021-09-22 08:41:59.391893 : Epoch  4, Batch    619, Loss  0.870783, Average Loss  0.869431, Time  0.236587
2021-09-22 08:42:02.039886 : Epoch  4, Batch    620, Loss  0.866504, Average Loss  0.869451, Time  0.236886
2021-09-22 08:42:04.682977 : Epoch  4, Batch    621, Loss  0.857569, Average Loss  0.869416, Time  0.236657
2021-09-22 08:42:07.330179 : Epoch  4, Batch    622, Loss  0.869016, Average Loss  0.869469, Time  0.236474
2021-09-22 08:42:09.987136 : Epoch  4, Batch    623, Loss  0.881372, Average Loss  0.869519, Time  0.236061
2021-09-22 08:42:12.646120 : Epoch  4, Batch    624, Loss  0.880165, Average Loss  0.869546, Time  0.236668
2021-09-22 08:42:15.303961 : Epoch  4, Batch    625, Loss  0.868259, Average Loss  0.869567, Time  0.236959
2021-09-22 08:42:17.957830 : Epoch  4, Batch    626, Loss  0.877077, Average Loss  0.869651, Time  0.236624
2021-09-22 08:42:20.605854 : Epoch  4, Batch    627, Loss  0.861808, Average Loss  0.869582, Time  0.237065
2021-09-22 08:42:23.271071 : Epoch  4, Batch    628, Loss  0.868254, Average Loss  0.869505, Time  0.236616
2021-09-22 08:42:25.935827 : Epoch  4, Batch    629, Loss  0.873080, Average Loss  0.869561, Time  0.240030
2021-09-22 08:42:28.599855 : Epoch  4, Batch    630, Loss  0.887732, Average Loss  0.869704, Time  0.237843
2021-09-22 08:42:31.273475 : Epoch  4, Batch    631, Loss  0.871439, Average Loss  0.869657, Time  0.237492
2021-09-22 08:42:33.925850 : Epoch  4, Batch    632, Loss  0.878139, Average Loss  0.869715, Time  0.237207
2021-09-22 08:46:43.931053 : CheckPoint: Validation Loss  0.00030660, Best Loss  0.00029452
2021-09-22 08:46:46.568076 : Epoch  4, Batch    633, Loss  0.857982, Average Loss  0.869590, Time  0.237723
2021-09-22 08:46:49.221805 : Epoch  4, Batch    634, Loss  0.895536, Average Loss  0.869732, Time  0.238003
2021-09-22 08:46:51.870983 : Epoch  4, Batch    635, Loss  0.852501, Average Loss  0.869788, Time  0.235764
2021-09-22 08:46:54.515851 : Epoch  4, Batch    636, Loss  0.839660, Average Loss  0.869665, Time  0.237138
2021-09-22 08:46:57.168168 : Epoch  4, Batch    637, Loss  0.858336, Average Loss  0.869657, Time  0.236058
2021-09-22 08:46:59.844014 : Epoch  4, Batch    638, Loss  0.855626, Average Loss  0.869621, Time  0.237079
2021-09-22 08:47:02.493930 : Epoch  4, Batch    639, Loss  0.879528, Average Loss  0.869702, Time  0.236678
2021-09-22 08:47:05.149973 : Epoch  4, Batch    640, Loss  0.873640, Average Loss  0.869670, Time  0.236818
2021-09-22 08:47:07.808302 : Epoch  4, Batch    641, Loss  0.851888, Average Loss  0.869521, Time  0.237352
2021-09-22 08:47:10.461831 : Epoch  4, Batch    642, Loss  0.862571, Average Loss  0.869431, Time  0.238032
2021-09-22 08:47:13.104193 : Epoch  4, Batch    643, Loss  0.866502, Average Loss  0.869426, Time  0.236419
2021-09-22 08:47:15.762438 : Epoch  4, Batch    644, Loss  0.877452, Average Loss  0.869458, Time  0.237727
2021-09-22 08:47:18.416915 : Epoch  4, Batch    645, Loss  0.844960, Average Loss  0.869365, Time  0.235886
2021-09-22 08:47:21.081488 : Epoch  4, Batch    646, Loss  0.888736, Average Loss  0.869495, Time  0.237115
2021-09-22 08:47:23.730082 : Epoch  4, Batch    647, Loss  0.881847, Average Loss  0.869511, Time  0.237004
2021-09-22 08:47:26.416848 : Epoch  4, Batch    648, Loss  0.868467, Average Loss  0.869528, Time  0.239705
2021-09-22 08:47:29.071822 : Epoch  4, Batch    649, Loss  0.889879, Average Loss  0.869505, Time  0.236902
2021-09-22 08:47:31.730052 : Epoch  4, Batch    650, Loss  0.870555, Average Loss  0.869538, Time  0.236745
2021-09-22 08:47:34.373074 : Epoch  4, Batch    651, Loss  0.871780, Average Loss  0.869511, Time  0.235870
2021-09-22 08:47:37.028915 : Epoch  4, Batch    652, Loss  0.891023, Average Loss  0.869641, Time  0.236809
2021-09-22 08:47:39.673123 : Epoch  4, Batch    653, Loss  0.857138, Average Loss  0.869645, Time  0.236247
2021-09-22 08:47:42.323081 : Epoch  4, Batch    654, Loss  0.868110, Average Loss  0.869682, Time  0.236341
2021-09-22 08:47:44.982976 : Epoch  4, Batch    655, Loss  0.880536, Average Loss  0.869669, Time  0.236908
2021-09-22 08:47:47.617083 : Epoch  4, Batch    656, Loss  0.862683, Average Loss  0.869580, Time  0.236357
2021-09-22 08:47:50.266738 : Epoch  4, Batch    657, Loss  0.849539, Average Loss  0.869457, Time  0.236037
2021-09-22 08:47:52.916094 : Epoch  4, Batch    658, Loss  0.879144, Average Loss  0.869520, Time  0.236788
2021-09-22 08:47:55.564823 : Epoch  4, Batch    659, Loss  0.841390, Average Loss  0.869440, Time  0.236660
2021-09-22 08:47:58.208836 : Epoch  4, Batch    660, Loss  0.882522, Average Loss  0.869486, Time  0.236023
2021-09-22 08:48:00.856836 : Epoch  4, Batch    661, Loss  0.857080, Average Loss  0.869465, Time  0.236416
2021-09-22 08:48:03.506872 : Epoch  4, Batch    662, Loss  0.887424, Average Loss  0.869626, Time  0.236776
2021-09-22 08:48:06.149913 : Epoch  4, Batch    663, Loss  0.843570, Average Loss  0.869410, Time  0.236341
2021-09-22 08:48:08.794899 : Epoch  4, Batch    664, Loss  0.875537, Average Loss  0.869381, Time  0.236624
2021-09-22 08:48:11.448875 : Epoch  4, Batch    665, Loss  0.873325, Average Loss  0.869428, Time  0.235960
2021-09-22 08:48:14.124856 : Epoch  4, Batch    666, Loss  0.865054, Average Loss  0.869395, Time  0.236585
2021-09-22 08:48:16.786405 : Epoch  4, Batch    667, Loss  0.878380, Average Loss  0.869367, Time  0.237624
2021-09-22 08:48:19.453158 : Epoch  4, Batch    668, Loss  0.876853, Average Loss  0.869395, Time  0.236428
2021-09-22 08:48:22.106898 : Epoch  4, Batch    669, Loss  0.883056, Average Loss  0.869533, Time  0.237401
2021-09-22 08:48:24.838924 : Epoch  4, Batch    670, Loss  0.868725, Average Loss  0.869641, Time  0.237415
2021-09-22 08:48:27.498438 : Epoch  4, Batch    671, Loss  0.886405, Average Loss  0.869677, Time  0.236244
2021-09-22 08:48:30.155909 : Epoch  4, Batch    672, Loss  0.855439, Average Loss  0.869686, Time  0.238858
2021-09-22 08:48:32.809185 : Epoch  4, Batch    673, Loss  0.858149, Average Loss  0.869618, Time  0.239656
2021-09-22 08:48:35.455407 : Epoch  4, Batch    674, Loss  0.845820, Average Loss  0.869535, Time  0.236490
2021-09-22 08:48:38.099938 : Epoch  4, Batch    675, Loss  0.861217, Average Loss  0.869582, Time  0.236232
2021-09-22 08:48:40.760946 : Epoch  4, Batch    676, Loss  0.863102, Average Loss  0.869621, Time  0.236078
2021-09-22 08:48:43.430916 : Epoch  4, Batch    677, Loss  0.867751, Average Loss  0.869569, Time  0.238021
2021-09-22 08:48:46.084999 : Epoch  4, Batch    678, Loss  0.862634, Average Loss  0.869567, Time  0.239546
2021-09-22 08:48:48.717568 : Epoch  4, Batch    679, Loss  0.867135, Average Loss  0.869512, Time  0.235875
2021-09-22 08:48:51.356088 : Epoch  4, Batch    680, Loss  0.846069, Average Loss  0.869403, Time  0.235719
2021-09-22 08:48:53.984830 : Epoch  4, Batch    681, Loss  0.859961, Average Loss  0.869233, Time  0.235888
2021-09-22 08:48:56.616904 : Epoch  4, Batch    682, Loss  0.872458, Average Loss  0.869213, Time  0.235872
2021-09-22 08:48:59.293986 : Epoch  4, Batch    683, Loss  0.890831, Average Loss  0.869327, Time  0.238250
2021-09-22 08:49:01.946012 : Epoch  4, Batch    684, Loss  0.863916, Average Loss  0.869322, Time  0.236512
2021-09-22 08:49:04.580375 : Epoch  4, Batch    685, Loss  0.856224, Average Loss  0.869198, Time  0.236101
2021-09-22 08:49:07.228422 : Epoch  4, Batch    686, Loss  0.885162, Average Loss  0.869368, Time  0.236238
2021-09-22 08:49:09.868370 : Epoch  4, Batch    687, Loss  0.881616, Average Loss  0.869406, Time  0.235848
2021-09-22 08:49:12.510064 : Epoch  4, Batch    688, Loss  0.869857, Average Loss  0.869407, Time  0.236087
2021-09-22 08:49:15.176920 : Epoch  4, Batch    689, Loss  0.857367, Average Loss  0.869516, Time  0.237742
2021-09-22 08:49:17.826215 : Epoch  4, Batch    690, Loss  0.871791, Average Loss  0.869635, Time  0.236439
2021-09-22 08:49:20.490985 : Epoch  4, Batch    691, Loss  0.869137, Average Loss  0.869594, Time  0.236980
2021-09-22 08:49:23.130824 : Epoch  4, Batch    692, Loss  0.900514, Average Loss  0.869834, Time  0.237097
2021-09-22 08:49:25.778834 : Epoch  4, Batch    693, Loss  0.872095, Average Loss  0.869734, Time  0.236445
2021-09-22 08:49:28.415411 : Epoch  4, Batch    694, Loss  0.855305, Average Loss  0.869693, Time  0.236110
2021-09-22 08:49:31.057455 : Epoch  4, Batch    695, Loss  0.865452, Average Loss  0.869686, Time  0.236530
2021-09-22 08:49:33.748046 : Epoch  4, Batch    696, Loss  0.851358, Average Loss  0.869503, Time  0.236944
2021-09-22 08:49:36.397418 : Epoch  4, Batch    697, Loss  0.873075, Average Loss  0.869502, Time  0.236323
2021-09-22 08:49:39.062105 : Epoch  4, Batch    698, Loss  0.861089, Average Loss  0.869565, Time  0.237887
2021-09-22 08:49:41.716433 : Epoch  4, Batch    699, Loss  0.877206, Average Loss  0.869598, Time  0.235914
2021-09-22 08:49:44.363595 : Epoch  4, Batch    700, Loss  0.855240, Average Loss  0.869457, Time  0.236270
2021-09-22 08:49:47.049948 : Epoch  4, Batch    701, Loss  0.872039, Average Loss  0.869407, Time  0.236152
2021-09-22 08:49:49.707010 : Epoch  4, Batch    702, Loss  0.891777, Average Loss  0.869518, Time  0.236766
2021-09-22 08:49:52.363891 : Epoch  4, Batch    703, Loss  0.842073, Average Loss  0.869396, Time  0.236793
2021-09-22 08:49:55.067405 : Epoch  4, Batch    704, Loss  0.855355, Average Loss  0.869222, Time  0.236220
2021-09-22 08:49:57.753220 : Epoch  4, Batch    705, Loss  0.858368, Average Loss  0.869277, Time  0.236533
2021-09-22 08:50:00.418868 : Epoch  4, Batch    706, Loss  0.862496, Average Loss  0.869221, Time  0.236607
2021-09-22 08:50:03.090034 : Epoch  4, Batch    707, Loss  0.873612, Average Loss  0.869196, Time  0.237020
2021-09-22 08:50:05.743995 : Epoch  4, Batch    708, Loss  0.828249, Average Loss  0.868928, Time  0.236709
2021-09-22 08:50:08.401176 : Epoch  4, Batch    709, Loss  0.867015, Average Loss  0.868917, Time  0.236234
2021-09-22 08:50:11.072051 : Epoch  4, Batch    710, Loss  0.857974, Average Loss  0.868962, Time  0.237314
2021-09-22 08:50:13.748115 : Epoch  4, Batch    711, Loss  0.873492, Average Loss  0.868973, Time  0.236549
2021-09-22 08:50:16.413834 : Epoch  4, Batch    712, Loss  0.875088, Average Loss  0.869090, Time  0.238065
2021-09-22 08:50:19.074186 : Epoch  4, Batch    713, Loss  0.862761, Average Loss  0.869030, Time  0.236828
2021-09-22 08:50:21.737281 : Epoch  4, Batch    714, Loss  0.873189, Average Loss  0.869046, Time  0.237938
2021-09-22 08:50:24.391038 : Epoch  4, Batch    715, Loss  0.850327, Average Loss  0.868808, Time  0.238064
2021-09-22 08:50:27.040972 : Epoch  4, Batch    716, Loss  0.882442, Average Loss  0.868856, Time  0.242324
2021-09-22 08:50:29.696363 : Epoch  4, Batch    717, Loss  0.862038, Average Loss  0.868845, Time  0.235992
2021-09-22 08:50:32.339104 : Epoch  4, Batch    718, Loss  0.874187, Average Loss  0.868831, Time  0.236199
2021-09-22 08:50:34.990024 : Epoch  4, Batch    719, Loss  0.878241, Average Loss  0.868947, Time  0.236348
2021-09-22 08:50:37.664188 : Epoch  4, Batch    720, Loss  0.856353, Average Loss  0.868904, Time  0.236760
2021-09-22 08:50:40.312944 : Epoch  4, Batch    721, Loss  0.838261, Average Loss  0.868660, Time  0.236826
2021-09-22 08:50:42.961623 : Epoch  4, Batch    722, Loss  0.868905, Average Loss  0.868685, Time  0.237545
2021-09-22 08:50:45.615888 : Epoch  4, Batch    723, Loss  0.889403, Average Loss  0.868614, Time  0.236830
2021-09-22 08:50:48.267829 : Epoch  4, Batch    724, Loss  0.869062, Average Loss  0.868516, Time  0.236321
2021-09-22 08:50:50.928855 : Epoch  4, Batch    725, Loss  0.863381, Average Loss  0.868454, Time  0.236138
2021-09-22 08:50:53.578763 : Epoch  4, Batch    726, Loss  0.855143, Average Loss  0.868416, Time  0.236780
2021-09-22 08:50:56.276990 : Epoch  4, Batch    727, Loss  0.871143, Average Loss  0.868277, Time  0.236794
2021-09-22 08:50:58.939948 : Epoch  4, Batch    728, Loss  0.879257, Average Loss  0.868414, Time  0.237840
2021-09-22 08:51:01.597097 : Epoch  4, Batch    729, Loss  0.866403, Average Loss  0.868371, Time  0.237146
2021-09-22 08:51:04.263674 : Epoch  4, Batch    730, Loss  0.856479, Average Loss  0.868418, Time  0.236565
2021-09-22 08:51:06.918829 : Epoch  4, Batch    731, Loss  0.876299, Average Loss  0.868501, Time  0.236243
2021-09-22 08:51:09.561029 : Epoch  4, Batch    732, Loss  0.864277, Average Loss  0.868510, Time  0.236093
2021-09-22 08:55:19.659777 : CheckPoint: Validation Loss  0.00030382, Best Loss  0.00029452
2021-09-22 08:55:22.327993 : Epoch  4, Batch    733, Loss  0.859992, Average Loss  0.868528, Time  0.237926
2021-09-22 08:55:24.973841 : Epoch  4, Batch    734, Loss  0.883979, Average Loss  0.868662, Time  0.240072
2021-09-22 08:55:27.622905 : Epoch  4, Batch    735, Loss  0.853268, Average Loss  0.868600, Time  0.237457
2021-09-22 08:55:30.279831 : Epoch  4, Batch    736, Loss  0.862563, Average Loss  0.868556, Time  0.237704
2021-09-22 08:55:32.952078 : Epoch  4, Batch    737, Loss  0.865751, Average Loss  0.868454, Time  0.236262
2021-09-22 08:55:35.628099 : Epoch  4, Batch    738, Loss  0.862948, Average Loss  0.868444, Time  0.237864
2021-09-22 08:55:38.302211 : Epoch  4, Batch    739, Loss  0.869044, Average Loss  0.868489, Time  0.236617
2021-09-22 08:55:40.960741 : Epoch  4, Batch    740, Loss  0.878020, Average Loss  0.868490, Time  0.236177
2021-09-22 08:55:43.613201 : Epoch  4, Batch    741, Loss  0.852172, Average Loss  0.868458, Time  0.236300
2021-09-22 08:55:46.259092 : Epoch  4, Batch    742, Loss  0.855221, Average Loss  0.868424, Time  0.236584
2021-09-22 08:55:48.899760 : Epoch  4, Batch    743, Loss  0.882264, Average Loss  0.868550, Time  0.237558
2021-09-22 08:55:51.536871 : Epoch  4, Batch    744, Loss  0.882055, Average Loss  0.868639, Time  0.236758
2021-09-22 08:55:54.188898 : Epoch  4, Batch    745, Loss  0.865761, Average Loss  0.868631, Time  0.236724
2021-09-22 08:55:56.848994 : Epoch  4, Batch    746, Loss  0.877807, Average Loss  0.868699, Time  0.236974
2021-09-22 08:55:59.510871 : Epoch  4, Batch    747, Loss  0.859622, Average Loss  0.868630, Time  0.237002
2021-09-22 08:56:02.162040 : Epoch  4, Batch    748, Loss  0.884276, Average Loss  0.868796, Time  0.236674
2021-09-22 08:56:04.822993 : Epoch  4, Batch    749, Loss  0.872425, Average Loss  0.868778, Time  0.237938
2021-09-22 08:56:07.472967 : Epoch  4, Batch    750, Loss  0.865045, Average Loss  0.868694, Time  0.236728
2021-09-22 08:56:10.124093 : Epoch  4, Batch    751, Loss  0.867473, Average Loss  0.868711, Time  0.237951
2021-09-22 08:56:12.787974 : Epoch  4, Batch    752, Loss  0.873624, Average Loss  0.868619, Time  0.237485
2021-09-22 08:56:15.443896 : Epoch  4, Batch    753, Loss  0.859904, Average Loss  0.868630, Time  0.236555
2021-09-22 08:56:18.098998 : Epoch  4, Batch    754, Loss  0.872687, Average Loss  0.868614, Time  0.237109
2021-09-22 08:56:20.763275 : Epoch  4, Batch    755, Loss  0.869445, Average Loss  0.868657, Time  0.237706
2021-09-22 08:56:23.417903 : Epoch  4, Batch    756, Loss  0.853134, Average Loss  0.868575, Time  0.236695
2021-09-22 08:56:26.093872 : Epoch  4, Batch    757, Loss  0.862582, Average Loss  0.868572, Time  0.236797
2021-09-22 08:56:28.751170 : Epoch  4, Batch    758, Loss  0.874349, Average Loss  0.868638, Time  0.240257
2021-09-22 08:56:31.388898 : Epoch  4, Batch    759, Loss  0.880197, Average Loss  0.868667, Time  0.236889
2021-09-22 08:56:34.048404 : Epoch  4, Batch    760, Loss  0.872665, Average Loss  0.868617, Time  0.237894
2021-09-22 08:56:36.686899 : Epoch  4, Batch    761, Loss  0.888107, Average Loss  0.868785, Time  0.236473
2021-09-22 08:56:39.343406 : Epoch  4, Batch    762, Loss  0.859688, Average Loss  0.868869, Time  0.235902
2021-09-22 08:56:42.010069 : Epoch  4, Batch    763, Loss  0.870873, Average Loss  0.868825, Time  0.235820
2021-09-22 08:56:44.661499 : Epoch  4, Batch    764, Loss  0.857026, Average Loss  0.868781, Time  0.237020
2021-09-22 08:56:47.335820 : Epoch  4, Batch    765, Loss  0.873221, Average Loss  0.868782, Time  0.236708
2021-09-22 08:56:49.984100 : Epoch  4, Batch    766, Loss  0.844828, Average Loss  0.868655, Time  0.236004
2021-09-22 08:56:52.634440 : Epoch  4, Batch    767, Loss  0.876494, Average Loss  0.868593, Time  0.236658
2021-09-22 08:56:55.292420 : Epoch  4, Batch    768, Loss  0.868394, Average Loss  0.868438, Time  0.236470
2021-09-22 08:56:57.952177 : Epoch  4, Batch    769, Loss  0.889445, Average Loss  0.868476, Time  0.237680
2021-09-22 08:57:00.612451 : Epoch  4, Batch    770, Loss  0.881006, Average Loss  0.868510, Time  0.235980
2021-09-22 08:57:03.245440 : Epoch  4, Batch    771, Loss  0.876765, Average Loss  0.868486, Time  0.236605
2021-09-22 08:57:05.932194 : Epoch  4, Batch    772, Loss  0.867016, Average Loss  0.868436, Time  0.237323
2021-09-22 08:57:08.583412 : Epoch  4, Batch    773, Loss  0.872679, Average Loss  0.868476, Time  0.236155
2021-09-22 08:57:11.237797 : Epoch  4, Batch    774, Loss  0.895774, Average Loss  0.868693, Time  0.237717
2021-09-22 08:57:13.913832 : Epoch  4, Batch    775, Loss  0.876461, Average Loss  0.868674, Time  0.237014
2021-09-22 08:57:16.569027 : Epoch  4, Batch    776, Loss  0.872400, Average Loss  0.868676, Time  0.236537
2021-09-22 08:57:19.214403 : Epoch  4, Batch    777, Loss  0.861216, Average Loss  0.868522, Time  0.235983
2021-09-22 08:57:21.853429 : Epoch  4, Batch    778, Loss  0.852750, Average Loss  0.868459, Time  0.236322
2021-09-22 08:57:24.487429 : Epoch  4, Batch    779, Loss  0.862415, Average Loss  0.868371, Time  0.236851
2021-09-22 08:57:27.143163 : Epoch  4, Batch    780, Loss  0.863756, Average Loss  0.868393, Time  0.236836
2021-09-22 08:57:29.815922 : Epoch  4, Batch    781, Loss  0.893750, Average Loss  0.868516, Time  0.236308
2021-09-22 08:57:32.466948 : Epoch  4, Batch    782, Loss  0.861584, Average Loss  0.868613, Time  0.238103
2021-09-22 08:57:35.124944 : Epoch  4, Batch    783, Loss  0.864240, Average Loss  0.868611, Time  0.236071
2021-09-22 08:57:37.774233 : Epoch  4, Batch    784, Loss  0.879861, Average Loss  0.868653, Time  0.237174
2021-09-22 08:57:40.439183 : Epoch  4, Batch    785, Loss  0.879217, Average Loss  0.868680, Time  0.236408
2021-09-22 08:57:43.095103 : Epoch  4, Batch    786, Loss  0.864790, Average Loss  0.868681, Time  0.236259
2021-09-22 08:57:45.764939 : Epoch  4, Batch    787, Loss  0.872987, Average Loss  0.868693, Time  0.236748
2021-09-22 08:57:48.417840 : Epoch  4, Batch    788, Loss  0.857266, Average Loss  0.868648, Time  0.236998
2021-09-22 08:57:51.069927 : Epoch  4, Batch    789, Loss  0.852111, Average Loss  0.868625, Time  0.236049
2021-09-22 08:57:53.723455 : Epoch  4, Batch    790, Loss  0.843023, Average Loss  0.868471, Time  0.236529
2021-09-22 08:57:56.386960 : Epoch  4, Batch    791, Loss  0.886159, Average Loss  0.868445, Time  0.236829
2021-09-22 08:57:59.072246 : Epoch  4, Batch    792, Loss  0.882189, Average Loss  0.868444, Time  0.237585
2021-09-22 08:58:01.735980 : Epoch  4, Batch    793, Loss  0.879688, Average Loss  0.868486, Time  0.236603
2021-09-22 08:58:04.390957 : Epoch  4, Batch    794, Loss  0.874633, Average Loss  0.868499, Time  0.237579
2021-09-22 08:58:07.069869 : Epoch  4, Batch    795, Loss  0.875396, Average Loss  0.868562, Time  0.236657
2021-09-22 08:58:09.725860 : Epoch  4, Batch    796, Loss  0.862913, Average Loss  0.868577, Time  0.236436
2021-09-22 08:58:12.381766 : Epoch  4, Batch    797, Loss  0.891658, Average Loss  0.868686, Time  0.237002
2021-09-22 08:58:15.033892 : Epoch  4, Batch    798, Loss  0.882463, Average Loss  0.868669, Time  0.236999
2021-09-22 08:58:17.706096 : Epoch  4, Batch    799, Loss  0.882829, Average Loss  0.868822, Time  0.236329
2021-09-22 08:58:20.368069 : Epoch  4, Batch    800, Loss  0.871636, Average Loss  0.868785, Time  0.235962
2021-09-22 08:58:23.024752 : Epoch  4, Batch    801, Loss  0.882682, Average Loss  0.868860, Time  0.236211
2021-09-22 08:58:25.681408 : Epoch  4, Batch    802, Loss  0.892590, Average Loss  0.869017, Time  0.236082
2021-09-22 08:58:28.316981 : Epoch  4, Batch    803, Loss  0.878834, Average Loss  0.869105, Time  0.236203
2021-09-22 08:58:30.984097 : Epoch  4, Batch    804, Loss  0.865906, Average Loss  0.869091, Time  0.236781
2021-09-22 08:58:33.644196 : Epoch  4, Batch    805, Loss  0.876374, Average Loss  0.869229, Time  0.239549
2021-09-22 08:58:36.309993 : Epoch  4, Batch    806, Loss  0.851632, Average Loss  0.869091, Time  0.237763
2021-09-22 08:58:38.972840 : Epoch  4, Batch    807, Loss  0.862401, Average Loss  0.869089, Time  0.236755
2021-09-22 08:58:41.635812 : Epoch  4, Batch    808, Loss  0.847419, Average Loss  0.868956, Time  0.236939
2021-09-22 08:58:44.303923 : Epoch  4, Batch    809, Loss  0.873439, Average Loss  0.868895, Time  0.236386
2021-09-22 08:58:46.955059 : Epoch  4, Batch    810, Loss  0.872842, Average Loss  0.868827, Time  0.236605
2021-09-22 08:58:49.632871 : Epoch  4, Batch    811, Loss  0.861065, Average Loss  0.868739, Time  0.237018
2021-09-22 08:58:52.289257 : Epoch  4, Batch    812, Loss  0.878961, Average Loss  0.868759, Time  0.236606
2021-09-22 08:58:54.951017 : Epoch  4, Batch    813, Loss  0.863538, Average Loss  0.868748, Time  0.236930
2021-09-22 08:58:57.624884 : Epoch  4, Batch    814, Loss  0.875709, Average Loss  0.868819, Time  0.236629
2021-09-22 08:59:00.273015 : Epoch  4, Batch    815, Loss  0.866170, Average Loss  0.868779, Time  0.237947
2021-09-22 08:59:02.918976 : Epoch  4, Batch    816, Loss  0.867055, Average Loss  0.868704, Time  0.236353
2021-09-22 08:59:05.616966 : Epoch  4, Batch    817, Loss  0.847356, Average Loss  0.868580, Time  0.254522
2021-09-22 08:59:08.284812 : Epoch  4, Batch    818, Loss  0.852455, Average Loss  0.868608, Time  0.239732
2021-09-22 08:59:10.933060 : Epoch  4, Batch    819, Loss  0.876659, Average Loss  0.868637, Time  0.236637
2021-09-22 08:59:13.612435 : Epoch  4, Batch    820, Loss  0.885372, Average Loss  0.868732, Time  0.237008
2021-09-22 08:59:16.272893 : Epoch  4, Batch    821, Loss  0.869019, Average Loss  0.868789, Time  0.236515
2021-09-22 08:59:18.947075 : Epoch  4, Batch    822, Loss  0.880137, Average Loss  0.868845, Time  0.237341
2021-09-22 08:59:21.681242 : Epoch  4, Batch    823, Loss  0.881808, Average Loss  0.868847, Time  0.237021
2021-09-22 08:59:24.388020 : Epoch  4, Batch    824, Loss  0.884383, Average Loss  0.868868, Time  0.236251
2021-09-22 08:59:27.071544 : Epoch  4, Batch    825, Loss  0.885929, Average Loss  0.868956, Time  0.235976
2021-09-22 08:59:29.775228 : Epoch  4, Batch    826, Loss  0.875463, Average Loss  0.868948, Time  0.237366
2021-09-22 08:59:32.425788 : Epoch  4, Batch    827, Loss  0.873875, Average Loss  0.869008, Time  0.236146
2021-09-22 08:59:35.078381 : Epoch  4, Batch    828, Loss  0.852149, Average Loss  0.868928, Time  0.236035
2021-09-22 08:59:37.720989 : Epoch  4, Batch    829, Loss  0.888421, Average Loss  0.869005, Time  0.235888
2021-09-22 08:59:40.367885 : Epoch  4, Batch    830, Loss  0.873070, Average Loss  0.868931, Time  0.237252
2021-09-22 08:59:43.028406 : Epoch  4, Batch    831, Loss  0.854675, Average Loss  0.868847, Time  0.236727
2021-09-22 08:59:45.685380 : Epoch  4, Batch    832, Loss  0.842324, Average Loss  0.868668, Time  0.235907
2021-09-22 09:03:54.847769 : CheckPoint: Validation Loss  0.00030602, Best Loss  0.00029452
2021-09-22 09:03:57.535005 : Epoch  4, Batch    833, Loss  0.873340, Average Loss  0.868745, Time  0.237708
2021-09-22 09:04:00.191015 : Epoch  4, Batch    834, Loss  0.870411, Average Loss  0.868620, Time  0.236488
2021-09-22 09:04:02.835976 : Epoch  4, Batch    835, Loss  0.859151, Average Loss  0.868653, Time  0.236697
2021-09-22 09:04:05.477893 : Epoch  4, Batch    836, Loss  0.860047, Average Loss  0.868755, Time  0.236601
2021-09-22 09:04:08.132166 : Epoch  4, Batch    837, Loss  0.885086, Average Loss  0.868889, Time  0.236132
2021-09-22 09:04:10.788415 : Epoch  4, Batch    838, Loss  0.850486, Average Loss  0.868863, Time  0.238273
2021-09-22 09:04:13.441796 : Epoch  4, Batch    839, Loss  0.886264, Average Loss  0.868897, Time  0.237882
2021-09-22 09:04:16.090266 : Epoch  4, Batch    840, Loss  0.865633, Average Loss  0.868856, Time  0.236004
2021-09-22 09:04:18.736842 : Epoch  4, Batch    841, Loss  0.861302, Average Loss  0.868904, Time  0.236299
2021-09-22 09:04:21.385392 : Epoch  4, Batch    842, Loss  0.843972, Average Loss  0.868811, Time  0.237043
2021-09-22 09:04:24.035404 : Epoch  4, Batch    843, Loss  0.849863, Average Loss  0.868727, Time  0.236003
2021-09-22 09:04:26.691070 : Epoch  4, Batch    844, Loss  0.863851, Average Loss  0.868659, Time  0.236285
2021-09-22 09:04:29.341827 : Epoch  4, Batch    845, Loss  0.879460, Average Loss  0.868832, Time  0.237993
2021-09-22 09:04:31.990109 : Epoch  4, Batch    846, Loss  0.864754, Average Loss  0.868712, Time  0.236480
2021-09-22 09:04:34.656631 : Epoch  4, Batch    847, Loss  0.868272, Average Loss  0.868644, Time  0.236774
2021-09-22 09:04:37.293056 : Epoch  4, Batch    848, Loss  0.878126, Average Loss  0.868692, Time  0.236637
2021-09-22 09:04:39.940411 : Epoch  4, Batch    849, Loss  0.876140, Average Loss  0.868624, Time  0.236812
2021-09-22 09:04:42.582871 : Epoch  4, Batch    850, Loss  0.859764, Average Loss  0.868570, Time  0.236149
2021-09-22 09:04:45.251315 : Epoch  4, Batch    851, Loss  0.862392, Average Loss  0.868523, Time  0.236962
2021-09-22 09:04:47.902101 : Epoch  4, Batch    852, Loss  0.877365, Average Loss  0.868454, Time  0.236967
2021-09-22 09:04:50.569989 : Epoch  4, Batch    853, Loss  0.859212, Average Loss  0.868465, Time  0.236951
2021-09-22 09:04:53.225158 : Epoch  4, Batch    854, Loss  0.853601, Average Loss  0.868392, Time  0.237232
2021-09-22 09:04:55.889865 : Epoch  4, Batch    855, Loss  0.868269, Average Loss  0.868331, Time  0.236334
2021-09-22 09:04:58.544124 : Epoch  4, Batch    856, Loss  0.852990, Average Loss  0.868283, Time  0.236339
2021-09-22 09:05:01.191708 : Epoch  4, Batch    857, Loss  0.875885, Average Loss  0.868414, Time  0.236395
2021-09-22 09:05:03.853869 : Epoch  4, Batch    858, Loss  0.838413, Average Loss  0.868211, Time  0.236671
2021-09-22 09:05:06.507169 : Epoch  4, Batch    859, Loss  0.875854, Average Loss  0.868383, Time  0.236710
2021-09-22 09:05:09.153430 : Epoch  4, Batch    860, Loss  0.870375, Average Loss  0.868322, Time  0.239399
2021-09-22 09:05:11.866874 : Epoch  4, Batch    861, Loss  0.854236, Average Loss  0.868308, Time  0.236003
2021-09-22 09:05:14.518995 : Epoch  4, Batch    862, Loss  0.843758, Average Loss  0.868090, Time  0.236672
2021-09-22 09:05:17.178014 : Epoch  4, Batch    863, Loss  0.880879, Average Loss  0.868276, Time  0.237322
2021-09-22 09:05:19.845111 : Epoch  4, Batch    864, Loss  0.865774, Average Loss  0.868227, Time  0.236463
2021-09-22 09:05:22.493119 : Epoch  4, Batch    865, Loss  0.867763, Average Loss  0.868200, Time  0.236501
2021-09-22 09:05:25.139850 : Epoch  4, Batch    866, Loss  0.865628, Average Loss  0.868202, Time  0.237199
2021-09-22 09:05:27.798262 : Epoch  4, Batch    867, Loss  0.887257, Average Loss  0.868247, Time  0.236395
2021-09-22 09:05:30.455963 : Epoch  4, Batch    868, Loss  0.854820, Average Loss  0.868137, Time  0.236427
2021-09-22 09:05:33.135951 : Epoch  4, Batch    869, Loss  0.861805, Average Loss  0.868030, Time  0.236498
2021-09-22 09:05:35.790783 : Epoch  4, Batch    870, Loss  0.890433, Average Loss  0.868139, Time  0.236168
2021-09-22 09:05:38.445226 : Epoch  4, Batch    871, Loss  0.878722, Average Loss  0.868101, Time  0.238174
2021-09-22 09:05:41.092023 : Epoch  4, Batch    872, Loss  0.869128, Average Loss  0.868169, Time  0.236997
2021-09-22 09:05:43.747127 : Epoch  4, Batch    873, Loss  0.870671, Average Loss  0.868232, Time  0.236697
2021-09-22 09:05:46.394896 : Epoch  4, Batch    874, Loss  0.888924, Average Loss  0.868447, Time  0.237721
2021-09-22 09:05:49.027847 : Epoch  4, Batch    875, Loss  0.867458, Average Loss  0.868478, Time  0.236536
2021-09-22 09:05:51.664435 : Epoch  4, Batch    876, Loss  0.903499, Average Loss  0.868680, Time  0.237197
2021-09-22 09:05:54.312971 : Epoch  4, Batch    877, Loss  0.862854, Average Loss  0.868656, Time  0.237423
2021-09-22 09:05:56.960404 : Epoch  4, Batch    878, Loss  0.875941, Average Loss  0.868722, Time  0.236326
2021-09-22 09:05:59.612007 : Epoch  4, Batch    879, Loss  0.874155, Average Loss  0.868757, Time  0.240044
2021-09-22 09:06:02.253951 : Epoch  4, Batch    880, Loss  0.856200, Average Loss  0.868808, Time  0.236282
2021-09-22 09:06:04.886293 : Epoch  4, Batch    881, Loss  0.879323, Average Loss  0.868905, Time  0.236357
2021-09-22 09:06:07.539964 : Epoch  4, Batch    882, Loss  0.865083, Average Loss  0.868868, Time  0.236271
2021-09-22 09:06:10.192134 : Epoch  4, Batch    883, Loss  0.865071, Average Loss  0.868739, Time  0.237502
2021-09-22 09:06:12.849946 : Epoch  4, Batch    884, Loss  0.886483, Average Loss  0.868852, Time  0.237617
2021-09-22 09:06:15.510409 : Epoch  4, Batch    885, Loss  0.868792, Average Loss  0.868915, Time  0.235999
2021-09-22 09:06:18.156903 : Epoch  4, Batch    886, Loss  0.855599, Average Loss  0.868767, Time  0.236853
2021-09-22 09:06:20.804452 : Epoch  4, Batch    887, Loss  0.895133, Average Loss  0.868835, Time  0.236443
2021-09-22 09:06:23.462038 : Epoch  4, Batch    888, Loss  0.851187, Average Loss  0.868741, Time  0.237069
2021-09-22 09:06:26.174717 : Epoch  4, Batch    889, Loss  0.861463, Average Loss  0.868762, Time  0.256174
2021-09-22 09:06:28.849079 : Epoch  4, Batch    890, Loss  0.867962, Average Loss  0.868743, Time  0.239281
2021-09-22 09:06:31.507071 : Epoch  4, Batch    891, Loss  0.862206, Average Loss  0.868708, Time  0.236531
2021-09-22 09:06:34.181248 : Epoch  4, Batch    892, Loss  0.868499, Average Loss  0.868548, Time  0.249403
2021-09-22 09:06:36.850402 : Epoch  4, Batch    893, Loss  0.887499, Average Loss  0.868625, Time  0.236184
2021-09-22 09:06:39.488412 : Epoch  4, Batch    894, Loss  0.883811, Average Loss  0.868767, Time  0.236028
2021-09-22 09:06:42.156947 : Epoch  4, Batch    895, Loss  0.884952, Average Loss  0.868865, Time  0.239611
2021-09-22 09:06:44.816930 : Epoch  4, Batch    896, Loss  0.872471, Average Loss  0.868971, Time  0.236291
2021-09-22 09:06:47.477389 : Epoch  4, Batch    897, Loss  0.882731, Average Loss  0.869019, Time  0.236776
2021-09-22 09:06:50.149530 : Epoch  4, Batch    898, Loss  0.869805, Average Loss  0.869062, Time  0.239145
2021-09-22 09:06:52.807940 : Epoch  4, Batch    899, Loss  0.877292, Average Loss  0.869063, Time  0.236420
2021-09-22 09:06:55.453246 : Epoch  4, Batch    900, Loss  0.855236, Average Loss  0.869063, Time  0.236327
2021-09-22 09:06:58.108931 : Epoch  4, Batch    901, Loss  0.881635, Average Loss  0.869111, Time  0.237443
2021-09-22 09:07:00.842095 : Epoch  4, Batch    902, Loss  0.874389, Average Loss  0.869024, Time  0.238833
2021-09-22 09:07:03.506954 : Epoch  4, Batch    903, Loss  0.872013, Average Loss  0.869174, Time  0.237105
2021-09-22 09:07:06.167178 : Epoch  4, Batch    904, Loss  0.861252, Average Loss  0.869203, Time  0.236244
2021-09-22 09:07:08.816940 : Epoch  4, Batch    905, Loss  0.878387, Average Loss  0.869303, Time  0.238296
2021-09-22 09:07:11.458415 : Epoch  4, Batch    906, Loss  0.853804, Average Loss  0.869260, Time  0.238008
2021-09-22 09:07:14.098904 : Epoch  4, Batch    907, Loss  0.894726, Average Loss  0.869365, Time  0.237931
2021-09-22 09:07:16.746377 : Epoch  4, Batch    908, Loss  0.892361, Average Loss  0.869686, Time  0.237088
2021-09-22 09:07:19.389792 : Epoch  4, Batch    909, Loss  0.862290, Average Loss  0.869662, Time  0.236693
2021-09-22 09:07:22.029262 : Epoch  4, Batch    910, Loss  0.889840, Average Loss  0.869821, Time  0.236980
2021-09-22 09:07:24.672028 : Epoch  4, Batch    911, Loss  0.876017, Average Loss  0.869834, Time  0.236217
2021-09-22 09:07:27.352098 : Epoch  4, Batch    912, Loss  0.872255, Average Loss  0.869820, Time  0.239582
2021-09-22 09:07:30.048885 : Epoch  4, Batch    913, Loss  0.875603, Average Loss  0.869884, Time  0.237603
2021-09-22 09:07:32.708542 : Epoch  4, Batch    914, Loss  0.867276, Average Loss  0.869855, Time  0.237484
2021-09-22 09:07:35.365142 : Epoch  4, Batch    915, Loss  0.868368, Average Loss  0.869945, Time  0.236931
2021-09-22 09:07:38.020074 : Epoch  4, Batch    916, Loss  0.873986, Average Loss  0.869903, Time  0.236944
2021-09-22 09:07:40.700576 : Epoch  4, Batch    917, Loss  0.866211, Average Loss  0.869923, Time  0.236637
2021-09-22 09:07:43.343907 : Epoch  4, Batch    918, Loss  0.870052, Average Loss  0.869903, Time  0.236487
2021-09-22 09:07:46.000102 : Epoch  4, Batch    919, Loss  0.855991, Average Loss  0.869791, Time  0.238502
2021-09-22 09:07:48.643453 : Epoch  4, Batch    920, Loss  0.870176, Average Loss  0.869861, Time  0.237329
2021-09-22 09:07:51.299666 : Epoch  4, Batch    921, Loss  0.863071, Average Loss  0.869985, Time  0.237339
2021-09-22 09:07:53.948405 : Epoch  4, Batch    922, Loss  0.872869, Average Loss  0.870004, Time  0.236623
2021-09-22 09:07:56.592609 : Epoch  4, Batch    923, Loss  0.849116, Average Loss  0.869803, Time  0.236876
2021-09-22 09:07:59.264259 : Epoch  4, Batch    924, Loss  0.863907, Average Loss  0.869777, Time  0.237209
2021-09-22 09:08:01.908049 : Epoch  4, Batch    925, Loss  0.872738, Average Loss  0.869824, Time  0.236064
2021-09-22 09:08:04.559427 : Epoch  4, Batch    926, Loss  0.849924, Average Loss  0.869798, Time  0.236256
2021-09-22 09:08:07.227001 : Epoch  4, Batch    927, Loss  0.868068, Average Loss  0.869783, Time  0.239534
2021-09-22 09:08:09.875740 : Epoch  4, Batch    928, Loss  0.876043, Average Loss  0.869767, Time  0.237119
2021-09-22 09:08:12.524274 : Epoch  4, Batch    929, Loss  0.859866, Average Loss  0.869734, Time  0.239814
2021-09-22 09:08:15.181749 : Epoch  4, Batch    930, Loss  0.857957, Average Loss  0.869741, Time  0.237253
2021-09-22 09:08:17.831197 : Epoch  4, Batch    931, Loss  0.860885, Average Loss  0.869664, Time  0.236672
2021-09-22 09:08:20.486040 : Epoch  4, Batch    932, Loss  0.871070, Average Loss  0.869698, Time  0.236417
2021-09-22 09:12:30.796773 : CheckPoint: Validation Loss  0.00031737, Best Loss  0.00029452
2021-09-22 09:12:33.487316 : Epoch  4, Batch    933, Loss  0.859039, Average Loss  0.869693, Time  0.238268
2021-09-22 09:12:36.152490 : Epoch  4, Batch    934, Loss  0.856282, Average Loss  0.869555, Time  0.236566
2021-09-22 09:12:38.810815 : Epoch  4, Batch    935, Loss  0.877863, Average Loss  0.869678, Time  0.236315
2021-09-22 09:12:41.487206 : Epoch  4, Batch    936, Loss  0.843678, Average Loss  0.869583, Time  0.237407
2021-09-22 09:12:44.162360 : Epoch  4, Batch    937, Loss  0.866283, Average Loss  0.869586, Time  0.236658
2021-09-22 09:12:46.820401 : Epoch  4, Batch    938, Loss  0.888326, Average Loss  0.869713, Time  0.236387
2021-09-22 09:12:49.477389 : Epoch  4, Batch    939, Loss  0.854145, Average Loss  0.869638, Time  0.236988
2021-09-22 09:12:52.146061 : Epoch  4, Batch    940, Loss  0.851494, Average Loss  0.869506, Time  0.239287
2021-09-22 09:12:54.817384 : Epoch  4, Batch    941, Loss  0.875335, Average Loss  0.869622, Time  0.237395
2021-09-22 09:12:57.475178 : Epoch  4, Batch    942, Loss  0.892183, Average Loss  0.869806, Time  0.236715
2021-09-22 09:13:00.130491 : Epoch  4, Batch    943, Loss  0.839599, Average Loss  0.869593, Time  0.236946
2021-09-22 09:13:02.782428 : Epoch  4, Batch    944, Loss  0.857919, Average Loss  0.869472, Time  0.236944
2021-09-22 09:13:05.428570 : Epoch  4, Batch    945, Loss  0.877721, Average Loss  0.869532, Time  0.236232
2021-09-22 09:13:08.092682 : Epoch  4, Batch    946, Loss  0.882041, Average Loss  0.869553, Time  0.236371
2021-09-22 09:13:10.741738 : Epoch  4, Batch    947, Loss  0.869243, Average Loss  0.869602, Time  0.235892
2021-09-22 09:13:13.409115 : Epoch  4, Batch    948, Loss  0.878936, Average Loss  0.869575, Time  0.236699
2021-09-22 09:13:16.061908 : Epoch  4, Batch    949, Loss  0.879894, Average Loss  0.869612, Time  0.236192
2021-09-22 09:13:18.718255 : Epoch  4, Batch    950, Loss  0.864751, Average Loss  0.869611, Time  0.236296
2021-09-22 09:13:21.394385 : Epoch  4, Batch    951, Loss  0.877086, Average Loss  0.869659, Time  0.236716
2021-09-22 09:13:24.057399 : Epoch  4, Batch    952, Loss  0.870066, Average Loss  0.869641, Time  0.236095
2021-09-22 09:13:26.705107 : Epoch  4, Batch    953, Loss  0.861065, Average Loss  0.869647, Time  0.236765
2021-09-22 09:13:29.362425 : Epoch  4, Batch    954, Loss  0.875434, Average Loss  0.869661, Time  0.237119
2021-09-22 09:13:32.019875 : Epoch  4, Batch    955, Loss  0.867479, Average Loss  0.869651, Time  0.237026
2021-09-22 09:13:34.681874 : Epoch  4, Batch    956, Loss  0.858855, Average Loss  0.869679, Time  0.236943
2021-09-22 09:13:37.329438 : Epoch  4, Batch    957, Loss  0.861119, Average Loss  0.869672, Time  0.238206
2021-09-22 09:13:39.986185 : Epoch  4, Batch    958, Loss  0.874672, Average Loss  0.869674, Time  0.236712
2021-09-22 09:13:42.630194 : Epoch  4, Batch    959, Loss  0.868809, Average Loss  0.869617, Time  0.236696
2021-09-22 09:13:45.298922 : Epoch  4, Batch    960, Loss  0.869264, Average Loss  0.869600, Time  0.236855
2021-09-22 09:13:47.958198 : Epoch  4, Batch    961, Loss  0.852355, Average Loss  0.869421, Time  0.236861
2021-09-22 09:13:50.606865 : Epoch  4, Batch    962, Loss  0.861839, Average Loss  0.869432, Time  0.236243
2021-09-22 09:13:53.247868 : Epoch  4, Batch    963, Loss  0.888995, Average Loss  0.869522, Time  0.237515
2021-09-22 09:13:55.961901 : Epoch  4, Batch    964, Loss  0.866528, Average Loss  0.869570, Time  0.236816
2021-09-22 09:13:58.617656 : Epoch  4, Batch    965, Loss  0.858605, Average Loss  0.869497, Time  0.236913
2021-09-22 09:14:01.267586 : Epoch  4, Batch    966, Loss  0.879499, Average Loss  0.869670, Time  0.237233
2021-09-22 09:14:03.904867 : Epoch  4, Batch    967, Loss  0.861010, Average Loss  0.869593, Time  0.236366
2021-09-22 09:14:06.556916 : Epoch  4, Batch    968, Loss  0.845147, Average Loss  0.869476, Time  0.237590
2021-09-22 09:14:09.210091 : Epoch  4, Batch    969, Loss  0.853289, Average Loss  0.869296, Time  0.236789
2021-09-22 09:14:11.886213 : Epoch  4, Batch    970, Loss  0.875876, Average Loss  0.869270, Time  0.237913
2021-09-22 09:14:14.541390 : Epoch  4, Batch    971, Loss  0.853022, Average Loss  0.869151, Time  0.237908
2021-09-22 09:14:17.202030 : Epoch  4, Batch    972, Loss  0.856003, Average Loss  0.869096, Time  0.236833
2021-09-22 09:14:19.838388 : Epoch  4, Batch    973, Loss  0.861123, Average Loss  0.869038, Time  0.235944
2021-09-22 09:14:22.493852 : Epoch  4, Batch    974, Loss  0.867041, Average Loss  0.868895, Time  0.236068
2021-09-22 09:14:25.159024 : Epoch  4, Batch    975, Loss  0.868209, Average Loss  0.868853, Time  0.236546
2021-09-22 09:14:27.813395 : Epoch  4, Batch    976, Loss  0.877531, Average Loss  0.868879, Time  0.236709
2021-09-22 09:14:30.469448 : Epoch  4, Batch    977, Loss  0.859156, Average Loss  0.868869, Time  0.235563
2021-09-22 09:14:33.128429 : Epoch  4, Batch    978, Loss  0.863312, Average Loss  0.868922, Time  0.236045
2021-09-22 09:14:35.781216 : Epoch  4, Batch    979, Loss  0.850905, Average Loss  0.868864, Time  0.236700
2021-09-22 09:14:38.433071 : Epoch  4, Batch    980, Loss  0.866351, Average Loss  0.868877, Time  0.236463
2021-09-22 09:14:41.110284 : Epoch  4, Batch    981, Loss  0.874404, Average Loss  0.868780, Time  0.236210
2021-09-22 09:14:43.800420 : Epoch  4, Batch    982, Loss  0.856945, Average Loss  0.868757, Time  0.236075
2021-09-22 09:14:46.472714 : Epoch  4, Batch    983, Loss  0.861816, Average Loss  0.868745, Time  0.236358
2021-09-22 09:14:49.117711 : Epoch  4, Batch    984, Loss  0.866801, Average Loss  0.868680, Time  0.236394
2021-09-22 09:14:51.778437 : Epoch  4, Batch    985, Loss  0.887116, Average Loss  0.868719, Time  0.236608
2021-09-22 09:14:54.425051 : Epoch  4, Batch    986, Loss  0.898925, Average Loss  0.868890, Time  0.238211
2021-09-22 09:14:57.078421 : Epoch  4, Batch    987, Loss  0.882237, Average Loss  0.868936, Time  0.236082
2021-09-22 09:14:59.734468 : Epoch  4, Batch    988, Loss  0.870282, Average Loss  0.869001, Time  0.237508
2021-09-22 09:15:02.394082 : Epoch  4, Batch    989, Loss  0.865983, Average Loss  0.869071, Time  0.236060
2021-09-22 09:15:05.068055 : Epoch  4, Batch    990, Loss  0.872663, Average Loss  0.869219, Time  0.237073
2021-09-22 09:15:07.776414 : Epoch  4, Batch    991, Loss  0.870636, Average Loss  0.869141, Time  0.236883
2021-09-22 09:15:10.432878 : Epoch  4, Batch    992, Loss  0.844492, Average Loss  0.868953, Time  0.236781
2021-09-22 09:15:13.081577 : Epoch  4, Batch    993, Loss  0.857826, Average Loss  0.868843, Time  0.236159
2021-09-22 09:15:15.726923 : Epoch  4, Batch    994, Loss  0.867665, Average Loss  0.868809, Time  0.236154
2021-09-22 09:15:18.414045 : Epoch  4, Batch    995, Loss  0.865712, Average Loss  0.868760, Time  0.253601
2021-09-22 09:15:21.090844 : Epoch  4, Batch    996, Loss  0.880720, Average Loss  0.868849, Time  0.237891
2021-09-22 09:15:23.748977 : Epoch  4, Batch    997, Loss  0.886072, Average Loss  0.868821, Time  0.236662
2021-09-22 09:15:26.422746 : Epoch  4, Batch    998, Loss  0.857748, Average Loss  0.868698, Time  0.236108
2021-09-22 09:15:29.105870 : Epoch  4, Batch    999, Loss  0.850853, Average Loss  0.868538, Time  0.236614
2021-09-22 09:15:31.758413 : Epoch  4, Batch   1000, Loss  0.891297, Average Loss  0.868636, Time  0.237303
2021-09-22 09:15:34.408390 : Epoch  4, Batch   1001, Loss  0.864344, Average Loss  0.868544, Time  0.236258
2021-09-22 09:15:37.063423 : Epoch  4, Batch   1002, Loss  0.868729, Average Loss  0.868425, Time  0.236693
2021-09-22 09:15:39.714925 : Epoch  4, Batch   1003, Loss  0.873260, Average Loss  0.868397, Time  0.236916
2021-09-22 09:15:42.371284 : Epoch  4, Batch   1004, Loss  0.862984, Average Loss  0.868383, Time  0.236619
2021-09-22 09:15:45.014418 : Epoch  4, Batch   1005, Loss  0.857551, Average Loss  0.868288, Time  0.237084
2021-09-22 09:15:47.671405 : Epoch  4, Batch   1006, Loss  0.883023, Average Loss  0.868445, Time  0.236435
2021-09-22 09:15:50.326589 : Epoch  4, Batch   1007, Loss  0.887758, Average Loss  0.868572, Time  0.236473
2021-09-22 09:15:52.998843 : Epoch  4, Batch   1008, Loss  0.848750, Average Loss  0.868579, Time  0.237314
2021-09-22 09:15:55.654421 : Epoch  4, Batch   1009, Loss  0.880408, Average Loss  0.868614, Time  0.237462
2021-09-22 09:15:58.310073 : Epoch  4, Batch   1010, Loss  0.872548, Average Loss  0.868612, Time  0.237095
2021-09-22 09:16:00.972459 : Epoch  4, Batch   1011, Loss  0.851208, Average Loss  0.868563, Time  0.238510
2021-09-22 09:16:03.618433 : Epoch  4, Batch   1012, Loss  0.868849, Average Loss  0.868512, Time  0.236909
2021-09-22 09:16:06.272424 : Epoch  4, Batch   1013, Loss  0.876642, Average Loss  0.868578, Time  0.237530
2021-09-22 09:16:08.928982 : Epoch  4, Batch   1014, Loss  0.865387, Average Loss  0.868526, Time  0.237594
2021-09-22 09:16:11.580590 : Epoch  4, Batch   1015, Loss  0.863627, Average Loss  0.868514, Time  0.236243
2021-09-22 09:16:14.239456 : Epoch  4, Batch   1016, Loss  0.876153, Average Loss  0.868559, Time  0.237022
2021-09-22 09:16:16.898436 : Epoch  4, Batch   1017, Loss  0.872433, Average Loss  0.868684, Time  0.235806
2021-09-22 09:16:19.555605 : Epoch  4, Batch   1018, Loss  0.854154, Average Loss  0.868693, Time  0.236797
2021-09-22 09:16:22.258379 : Epoch  4, Batch   1019, Loss  0.857807, Average Loss  0.868599, Time  0.236069
2021-09-22 09:16:24.942854 : Epoch  4, Batch   1020, Loss  0.891420, Average Loss  0.868629, Time  0.237174
2021-09-22 09:16:27.597105 : Epoch  4, Batch   1021, Loss  0.872619, Average Loss  0.868647, Time  0.235984
2021-09-22 09:16:30.255826 : Epoch  4, Batch   1022, Loss  0.859409, Average Loss  0.868543, Time  0.237237
2021-09-22 09:16:32.918037 : Epoch  4, Batch   1023, Loss  0.894506, Average Loss  0.868607, Time  0.237690
2021-09-22 09:16:35.578893 : Epoch  4, Batch   1024, Loss  0.871420, Average Loss  0.868542, Time  0.236601
2021-09-22 09:16:38.235403 : Epoch  4, Batch   1025, Loss  0.850939, Average Loss  0.868367, Time  0.236293
2021-09-22 09:16:40.893399 : Epoch  4, Batch   1026, Loss  0.868656, Average Loss  0.868333, Time  0.236599
2021-09-22 09:16:43.536137 : Epoch  4, Batch   1027, Loss  0.846908, Average Loss  0.868198, Time  0.235974
2021-09-22 09:16:46.193419 : Epoch  4, Batch   1028, Loss  0.853505, Average Loss  0.868205, Time  0.236561
2021-09-22 09:16:48.851416 : Epoch  4, Batch   1029, Loss  0.876941, Average Loss  0.868148, Time  0.236463
2021-09-22 09:16:51.514077 : Epoch  4, Batch   1030, Loss  0.864187, Average Loss  0.868103, Time  0.235811
2021-09-22 09:16:54.166607 : Epoch  4, Batch   1031, Loss  0.880340, Average Loss  0.868231, Time  0.236681
2021-09-22 09:16:56.826387 : Epoch  4, Batch   1032, Loss  0.887333, Average Loss  0.868456, Time  0.236380
2021-09-22 09:21:05.926727 : CheckPoint: Validation Loss  0.00031276, Best Loss  0.00029452
2021-09-22 09:21:08.597874 : Epoch  4, Batch   1033, Loss  0.856535, Average Loss  0.868372, Time  0.237714
2021-09-22 09:21:11.248182 : Epoch  4, Batch   1034, Loss  0.866491, Average Loss  0.868353, Time  0.237711
2021-09-22 09:21:13.904224 : Epoch  4, Batch   1035, Loss  0.863867, Average Loss  0.868376, Time  0.236562
2021-09-22 09:21:16.550407 : Epoch  4, Batch   1036, Loss  0.853588, Average Loss  0.868344, Time  0.236393
2021-09-22 09:21:19.202010 : Epoch  4, Batch   1037, Loss  0.867619, Average Loss  0.868257, Time  0.236407
2021-09-22 09:21:21.862067 : Epoch  4, Batch   1038, Loss  0.851714, Average Loss  0.868263, Time  0.236601
2021-09-22 09:21:24.516368 : Epoch  4, Batch   1039, Loss  0.855751, Average Loss  0.868110, Time  0.236826
2021-09-22 09:21:27.158931 : Epoch  4, Batch   1040, Loss  0.880521, Average Loss  0.868185, Time  0.236933
2021-09-22 09:21:29.802379 : Epoch  4, Batch   1041, Loss  0.864549, Average Loss  0.868201, Time  0.236545
2021-09-22 09:21:32.442405 : Epoch  4, Batch   1042, Loss  0.893539, Average Loss  0.868449, Time  0.236375
2021-09-22 09:21:35.064385 : Epoch  4, Batch   1043, Loss  0.865158, Average Loss  0.868525, Time  0.237244
2021-09-22 09:21:37.712800 : Epoch  4, Batch   1044, Loss  0.886650, Average Loss  0.868639, Time  0.237348
2021-09-22 09:21:40.350387 : Epoch  4, Batch   1045, Loss  0.860078, Average Loss  0.868542, Time  0.236703
2021-09-22 09:21:42.993007 : Epoch  4, Batch   1046, Loss  0.889374, Average Loss  0.868666, Time  0.237243
2021-09-22 09:21:45.639424 : Epoch  4, Batch   1047, Loss  0.859471, Average Loss  0.868622, Time  0.239488
2021-09-22 09:21:48.334422 : Epoch  4, Batch   1048, Loss  0.878910, Average Loss  0.868625, Time  0.237245
2021-09-22 09:21:50.986886 : Epoch  4, Batch   1049, Loss  0.880163, Average Loss  0.868646, Time  0.236568
2021-09-22 09:21:53.639450 : Epoch  4, Batch   1050, Loss  0.875253, Average Loss  0.868723, Time  0.237875
2021-09-22 09:21:56.283930 : Epoch  4, Batch   1051, Loss  0.872889, Average Loss  0.868776, Time  0.236139
2021-09-22 09:21:58.928401 : Epoch  4, Batch   1052, Loss  0.851136, Average Loss  0.868644, Time  0.236313
2021-09-22 09:22:01.569058 : Epoch  4, Batch   1053, Loss  0.882663, Average Loss  0.868762, Time  0.236063
2021-09-22 09:22:04.214406 : Epoch  4, Batch   1054, Loss  0.843914, Average Loss  0.868713, Time  0.237186
2021-09-22 09:22:06.864409 : Epoch  4, Batch   1055, Loss  0.888878, Average Loss  0.868816, Time  0.238407
2021-09-22 09:22:09.513646 : Epoch  4, Batch   1056, Loss  0.857754, Average Loss  0.868840, Time  0.236234
2021-09-22 09:22:12.172390 : Epoch  4, Batch   1057, Loss  0.867196, Average Loss  0.868797, Time  0.239972
2021-09-22 09:22:14.814396 : Epoch  4, Batch   1058, Loss  0.858837, Average Loss  0.868899, Time  0.236513
2021-09-22 09:22:17.452881 : Epoch  4, Batch   1059, Loss  0.877320, Average Loss  0.868906, Time  0.236632
2021-09-22 09:22:20.105700 : Epoch  4, Batch   1060, Loss  0.871237, Average Loss  0.868910, Time  0.237633
2021-09-22 09:22:22.758608 : Epoch  4, Batch   1061, Loss  0.860976, Average Loss  0.868944, Time  0.236473
2021-09-22 09:22:25.409424 : Epoch  4, Batch   1062, Loss  0.889930, Average Loss  0.869175, Time  0.236787
2021-09-22 09:22:28.046980 : Epoch  4, Batch   1063, Loss  0.874352, Average Loss  0.869142, Time  0.236571
2021-09-22 09:22:30.690164 : Epoch  4, Batch   1064, Loss  0.867474, Average Loss  0.869151, Time  0.236898
2021-09-22 09:22:33.339028 : Epoch  4, Batch   1065, Loss  0.876154, Average Loss  0.869193, Time  0.236676
2021-09-22 09:22:35.982862 : Epoch  4, Batch   1066, Loss  0.892094, Average Loss  0.869325, Time  0.239433
2021-09-22 09:22:38.632780 : Epoch  4, Batch   1067, Loss  0.846643, Average Loss  0.869122, Time  0.237270
2021-09-22 09:22:41.270540 : Epoch  4, Batch   1068, Loss  0.871035, Average Loss  0.869203, Time  0.236519
2021-09-22 09:22:43.923491 : Epoch  4, Batch   1069, Loss  0.873345, Average Loss  0.869261, Time  0.237701
2021-09-22 09:22:46.575981 : Epoch  4, Batch   1070, Loss  0.863379, Average Loss  0.869126, Time  0.237202
2021-09-22 09:22:49.247408 : Epoch  4, Batch   1071, Loss  0.865664, Average Loss  0.869060, Time  0.237157
2021-09-22 09:22:51.895828 : Epoch  4, Batch   1072, Loss  0.877473, Average Loss  0.869102, Time  0.236665
2021-09-22 09:22:54.541899 : Epoch  4, Batch   1073, Loss  0.879996, Average Loss  0.869149, Time  0.235901
2021-09-22 09:22:57.187896 : Epoch  4, Batch   1074, Loss  0.870762, Average Loss  0.869058, Time  0.236720
2021-09-22 09:22:59.834928 : Epoch  4, Batch   1075, Loss  0.879260, Average Loss  0.869117, Time  0.236443
2021-09-22 09:23:02.482420 : Epoch  4, Batch   1076, Loss  0.873616, Average Loss  0.868967, Time  0.237555
2021-09-22 09:23:05.113433 : Epoch  4, Batch   1077, Loss  0.864404, Average Loss  0.868975, Time  0.236612
2021-09-22 09:23:07.752913 : Epoch  4, Batch   1078, Loss  0.873150, Average Loss  0.868961, Time  0.236789
2021-09-22 09:23:10.403823 : Epoch  4, Batch   1079, Loss  0.866176, Average Loss  0.868921, Time  0.236792
2021-09-22 09:23:13.056395 : Epoch  4, Batch   1080, Loss  0.871442, Average Loss  0.868997, Time  0.237041
2021-09-22 09:23:15.695425 : Epoch  4, Batch   1081, Loss  0.888375, Average Loss  0.869043, Time  0.236257
2021-09-22 09:23:18.347108 : Epoch  4, Batch   1082, Loss  0.871255, Average Loss  0.869074, Time  0.237797
2021-09-22 09:23:21.004392 : Epoch  4, Batch   1083, Loss  0.868235, Average Loss  0.869089, Time  0.236132
2021-09-22 09:23:23.691440 : Epoch  4, Batch   1084, Loss  0.849207, Average Loss  0.868903, Time  0.236362
2021-09-22 09:23:26.347072 : Epoch  4, Batch   1085, Loss  0.874530, Average Loss  0.868932, Time  0.236485
2021-09-22 09:23:28.991169 : Epoch  4, Batch   1086, Loss  0.881051, Average Loss  0.869059, Time  0.236124
2021-09-22 09:23:31.639569 : Epoch  4, Batch   1087, Loss  0.878700, Average Loss  0.868977, Time  0.236462
2021-09-22 09:23:34.327857 : Epoch  4, Batch   1088, Loss  0.881477, Average Loss  0.869128, Time  0.236263
2021-09-22 09:23:36.985405 : Epoch  4, Batch   1089, Loss  0.886089, Average Loss  0.869251, Time  0.236811
2021-09-22 09:23:39.640018 : Epoch  4, Batch   1090, Loss  0.871250, Average Loss  0.869268, Time  0.237960
2021-09-22 09:23:42.306607 : Epoch  4, Batch   1091, Loss  0.857774, Average Loss  0.869246, Time  0.236637
2021-09-22 09:23:44.976340 : Epoch  4, Batch   1092, Loss  0.843325, Average Loss  0.869120, Time  0.237600
2021-09-22 09:23:47.624589 : Epoch  4, Batch   1093, Loss  0.887912, Average Loss  0.869122, Time  0.236454
2021-09-22 09:23:50.274949 : Epoch  4, Batch   1094, Loss  0.865176, Average Loss  0.869029, Time  0.237197
2021-09-22 09:23:52.931274 : Epoch  4, Batch   1095, Loss  0.889800, Average Loss  0.869053, Time  0.236912
2021-09-22 09:23:55.584853 : Epoch  4, Batch   1096, Loss  0.899620, Average Loss  0.869189, Time  0.237075
2021-09-22 09:23:58.229072 : Epoch  4, Batch   1097, Loss  0.884729, Average Loss  0.869199, Time  0.236148
2021-09-22 09:24:00.866051 : Epoch  4, Batch   1098, Loss  0.872889, Average Loss  0.869214, Time  0.235927
2021-09-22 09:24:03.543111 : Epoch  4, Batch   1099, Loss  0.851449, Average Loss  0.869085, Time  0.236022
2021-09-22 09:24:06.197982 : Epoch  4, Batch   1100, Loss  0.872672, Average Loss  0.869172, Time  0.236125
2021-09-22 09:24:08.857978 : Epoch  4, Batch   1101, Loss  0.850553, Average Loss  0.869017, Time  0.236246
2021-09-22 09:24:11.512854 : Epoch  4, Batch   1102, Loss  0.878834, Average Loss  0.869039, Time  0.237393
2021-09-22 09:24:14.158916 : Epoch  4, Batch   1103, Loss  0.870810, Average Loss  0.869033, Time  0.236234
2021-09-22 09:24:16.807559 : Epoch  4, Batch   1104, Loss  0.891558, Average Loss  0.869184, Time  0.237708
2021-09-22 09:24:19.467797 : Epoch  4, Batch   1105, Loss  0.871423, Average Loss  0.869150, Time  0.241750
2021-09-22 09:24:22.121101 : Epoch  4, Batch   1106, Loss  0.857375, Average Loss  0.869167, Time  0.236435
2021-09-22 09:24:24.762055 : Epoch  4, Batch   1107, Loss  0.888626, Average Loss  0.869137, Time  0.236274
2021-09-22 09:24:27.409143 : Epoch  4, Batch   1108, Loss  0.874279, Average Loss  0.869047, Time  0.237000
2021-09-22 09:24:30.038870 : Epoch  4, Batch   1109, Loss  0.850035, Average Loss  0.868985, Time  0.235749
2021-09-22 09:24:32.672966 : Epoch  4, Batch   1110, Loss  0.857740, Average Loss  0.868825, Time  0.236674
2021-09-22 09:24:35.327076 : Epoch  4, Batch   1111, Loss  0.893666, Average Loss  0.868913, Time  0.242118
2021-09-22 09:24:37.963811 : Epoch  4, Batch   1112, Loss  0.886734, Average Loss  0.868985, Time  0.237463
2021-09-22 09:24:40.609783 : Epoch  4, Batch   1113, Loss  0.876215, Average Loss  0.868988, Time  0.238562
2021-09-22 09:24:43.248971 : Epoch  4, Batch   1114, Loss  0.865298, Average Loss  0.868979, Time  0.237133
2021-09-22 09:24:45.877955 : Epoch  4, Batch   1115, Loss  0.862015, Average Loss  0.868947, Time  0.237026
2021-09-22 09:24:48.526907 : Epoch  4, Batch   1116, Loss  0.901926, Average Loss  0.869086, Time  0.236735
2021-09-22 09:24:51.172398 : Epoch  4, Batch   1117, Loss  0.871292, Average Loss  0.869112, Time  0.236141
2021-09-22 09:24:53.824104 : Epoch  4, Batch   1118, Loss  0.867368, Average Loss  0.869098, Time  0.242218
2021-09-22 09:24:56.474005 : Epoch  4, Batch   1119, Loss  0.872481, Average Loss  0.869181, Time  0.236734
2021-09-22 09:24:59.128438 : Epoch  4, Batch   1120, Loss  0.877908, Average Loss  0.869220, Time  0.236325
2021-09-22 09:25:01.788851 : Epoch  4, Batch   1121, Loss  0.851624, Average Loss  0.869162, Time  0.236792
2021-09-22 09:25:04.445698 : Epoch  4, Batch   1122, Loss  0.876939, Average Loss  0.869183, Time  0.237031
2021-09-22 09:25:07.098055 : Epoch  4, Batch   1123, Loss  0.864562, Average Loss  0.869260, Time  0.236501
2021-09-22 09:25:09.740597 : Epoch  4, Batch   1124, Loss  0.877329, Average Loss  0.869327, Time  0.235921
2021-09-22 09:25:12.397058 : Epoch  4, Batch   1125, Loss  0.880972, Average Loss  0.869368, Time  0.235951
2021-09-22 09:25:15.049555 : Epoch  4, Batch   1126, Loss  0.863402, Average Loss  0.869436, Time  0.236772
2021-09-22 09:25:17.683391 : Epoch  4, Batch   1127, Loss  0.892184, Average Loss  0.869556, Time  0.235697
2021-09-22 09:25:20.328119 : Epoch  4, Batch   1128, Loss  0.838676, Average Loss  0.869369, Time  0.236492
2021-09-22 09:25:22.997257 : Epoch  4, Batch   1129, Loss  0.853063, Average Loss  0.869335, Time  0.236370
2021-09-22 09:25:25.645409 : Epoch  4, Batch   1130, Loss  0.868369, Average Loss  0.869387, Time  0.236078
2021-09-22 09:25:28.294180 : Epoch  4, Batch   1131, Loss  0.863669, Average Loss  0.869401, Time  0.236341
2021-09-22 09:25:30.965836 : Epoch  4, Batch   1132, Loss  0.887400, Average Loss  0.869483, Time  0.236674
2021-09-22 09:29:40.382750 : CheckPoint: Validation Loss  0.00029662, Best Loss  0.00029452
2021-09-22 09:29:43.043976 : Epoch  4, Batch   1133, Loss  0.869556, Average Loss  0.869536, Time  0.237280
2021-09-22 09:29:45.707837 : Epoch  4, Batch   1134, Loss  0.874571, Average Loss  0.869627, Time  0.236167
2021-09-22 09:29:48.358874 : Epoch  4, Batch   1135, Loss  0.892224, Average Loss  0.869699, Time  0.238331
2021-09-22 09:29:51.019941 : Epoch  4, Batch   1136, Loss  0.871962, Average Loss  0.869840, Time  0.236570
2021-09-22 09:29:53.678553 : Epoch  4, Batch   1137, Loss  0.872918, Average Loss  0.869873, Time  0.236646
2021-09-22 09:29:56.320886 : Epoch  4, Batch   1138, Loss  0.885078, Average Loss  0.869857, Time  0.240193
2021-09-22 09:29:58.961488 : Epoch  4, Batch   1139, Loss  0.874672, Average Loss  0.869960, Time  0.235785
2021-09-22 09:30:01.673376 : Epoch  4, Batch   1140, Loss  0.859883, Average Loss  0.870002, Time  0.236189
2021-09-22 09:30:04.332968 : Epoch  4, Batch   1141, Loss  0.851537, Average Loss  0.869883, Time  0.236185
2021-09-22 09:30:06.982413 : Epoch  4, Batch   1142, Loss  0.897466, Average Loss  0.869909, Time  0.236079
2021-09-22 09:30:09.627818 : Epoch  4, Batch   1143, Loss  0.851109, Average Loss  0.869967, Time  0.236638
2021-09-22 09:30:12.278827 : Epoch  4, Batch   1144, Loss  0.870647, Average Loss  0.870030, Time  0.237493
2021-09-22 09:30:14.921422 : Epoch  4, Batch   1145, Loss  0.892435, Average Loss  0.870104, Time  0.235522
2021-09-22 09:30:17.618403 : Epoch  4, Batch   1146, Loss  0.850175, Average Loss  0.869945, Time  0.236665
2021-09-22 09:30:20.282424 : Epoch  4, Batch   1147, Loss  0.870875, Average Loss  0.869953, Time  0.237462
2021-09-22 09:30:22.909430 : Epoch  4, Batch   1148, Loss  0.881442, Average Loss  0.869965, Time  0.235649
2021-09-22 09:30:25.543941 : Epoch  4, Batch   1149, Loss  0.847973, Average Loss  0.869806, Time  0.237482
2021-09-22 09:30:28.175452 : Epoch  4, Batch   1150, Loss  0.865566, Average Loss  0.869810, Time  0.236513
2021-09-22 09:30:30.824317 : Epoch  4, Batch   1151, Loss  0.870959, Average Loss  0.869779, Time  0.236158
2021-09-22 09:30:33.478034 : Epoch  4, Batch   1152, Loss  0.870214, Average Loss  0.869780, Time  0.237043
2021-09-22 09:30:36.127429 : Epoch  4, Batch   1153, Loss  0.873136, Average Loss  0.869840, Time  0.236648
2021-09-22 09:30:38.763427 : Epoch  4, Batch   1154, Loss  0.866819, Average Loss  0.869797, Time  0.236426
2021-09-22 09:30:41.410401 : Epoch  4, Batch   1155, Loss  0.883521, Average Loss  0.869877, Time  0.235715
2021-09-22 09:30:44.061456 : Epoch  4, Batch   1156, Loss  0.870757, Average Loss  0.869937, Time  0.237910
2021-09-22 09:30:46.779361 : Epoch  4, Batch   1157, Loss  0.852250, Average Loss  0.869892, Time  0.236813
2021-09-22 09:30:49.438221 : Epoch  4, Batch   1158, Loss  0.878865, Average Loss  0.869913, Time  0.237463
2021-09-22 09:30:52.082854 : Epoch  4, Batch   1159, Loss  0.855656, Average Loss  0.869848, Time  0.236498
2021-09-22 09:30:54.733993 : Epoch  4, Batch   1160, Loss  0.849888, Average Loss  0.869751, Time  0.236768
2021-09-22 09:30:57.377898 : Epoch  4, Batch   1161, Loss  0.885020, Average Loss  0.869914, Time  0.236077
2021-09-22 09:31:00.020905 : Epoch  4, Batch   1162, Loss  0.872950, Average Loss  0.869970, Time  0.236130
2021-09-22 09:31:02.667795 : Epoch  4, Batch   1163, Loss  0.885801, Average Loss  0.869954, Time  0.237107
2021-09-22 09:31:05.311429 : Epoch  4, Batch   1164, Loss  0.889095, Average Loss  0.870067, Time  0.236564
2021-09-22 09:31:07.954165 : Epoch  4, Batch   1165, Loss  0.860906, Average Loss  0.870078, Time  0.236812
2021-09-22 09:31:10.602059 : Epoch  4, Batch   1166, Loss  0.889207, Average Loss  0.870127, Time  0.236814
2021-09-22 09:31:13.286611 : Epoch  4, Batch   1167, Loss  0.848740, Average Loss  0.870065, Time  0.236113
2021-09-22 09:31:15.935849 : Epoch  4, Batch   1168, Loss  0.867569, Average Loss  0.870177, Time  0.236510
2021-09-22 09:31:18.590058 : Epoch  4, Batch   1169, Loss  0.863752, Average Loss  0.870230, Time  0.237890
2021-09-22 09:31:21.246413 : Epoch  4, Batch   1170, Loss  0.865209, Average Loss  0.870176, Time  0.236595
2021-09-22 09:31:23.901888 : Epoch  4, Batch   1171, Loss  0.868578, Average Loss  0.870254, Time  0.237542
2021-09-22 09:31:26.547462 : Epoch  4, Batch   1172, Loss  0.875599, Average Loss  0.870352, Time  0.236983
2021-09-22 09:31:29.195950 : Epoch  4, Batch   1173, Loss  0.866263, Average Loss  0.870378, Time  0.236498
2021-09-22 09:31:31.846536 : Epoch  4, Batch   1174, Loss  0.860826, Average Loss  0.870347, Time  0.237033
2021-09-22 09:31:34.502514 : Epoch  4, Batch   1175, Loss  0.879701, Average Loss  0.870404, Time  0.235947
2021-09-22 09:31:37.170090 : Epoch  4, Batch   1176, Loss  0.874559, Average Loss  0.870389, Time  0.236906
2021-09-22 09:31:39.820876 : Epoch  4, Batch   1177, Loss  0.877650, Average Loss  0.870482, Time  0.236207
2021-09-22 09:31:42.465435 : Epoch  4, Batch   1178, Loss  0.872648, Average Loss  0.870528, Time  0.236144
2021-09-22 09:31:45.118189 : Epoch  4, Batch   1179, Loss  0.848941, Average Loss  0.870519, Time  0.236675
2021-09-22 09:31:47.770610 : Epoch  4, Batch   1180, Loss  0.872579, Average Loss  0.870550, Time  0.236320
2021-09-22 09:31:50.434993 : Epoch  4, Batch   1181, Loss  0.878216, Average Loss  0.870569, Time  0.235879
2021-09-22 09:31:53.080546 : Epoch  4, Batch   1182, Loss  0.902207, Average Loss  0.870795, Time  0.236360
2021-09-22 09:31:55.719949 : Epoch  4, Batch   1183, Loss  0.859386, Average Loss  0.870783, Time  0.236363
2021-09-22 09:31:58.373448 : Epoch  4, Batch   1184, Loss  0.863581, Average Loss  0.870767, Time  0.236538
2021-09-22 09:32:01.059495 : Epoch  4, Batch   1185, Loss  0.864069, Average Loss  0.870652, Time  0.235718
2021-09-22 09:32:03.705190 : Epoch  4, Batch   1186, Loss  0.856302, Average Loss  0.870439, Time  0.236427
2021-09-22 09:32:06.355590 : Epoch  4, Batch   1187, Loss  0.853529, Average Loss  0.870295, Time  0.236422
2021-09-22 09:32:08.999407 : Epoch  4, Batch   1188, Loss  0.879914, Average Loss  0.870343, Time  0.236755
2021-09-22 09:32:11.650934 : Epoch  4, Batch   1189, Loss  0.873574, Average Loss  0.870381, Time  0.236655
2021-09-22 09:32:14.294440 : Epoch  4, Batch   1190, Loss  0.904127, Average Loss  0.870538, Time  0.236297
2021-09-22 09:32:16.944829 : Epoch  4, Batch   1191, Loss  0.875823, Average Loss  0.870564, Time  0.236157
2021-09-22 09:32:19.593992 : Epoch  4, Batch   1192, Loss  0.863179, Average Loss  0.870658, Time  0.238222
2021-09-22 09:32:22.240366 : Epoch  4, Batch   1193, Loss  0.877648, Average Loss  0.870757, Time  0.236466
2021-09-22 09:32:24.892283 : Epoch  4, Batch   1194, Loss  0.872119, Average Loss  0.870779, Time  0.237535
2021-09-22 09:32:27.535602 : Epoch  4, Batch   1195, Loss  0.888768, Average Loss  0.870894, Time  0.237146
2021-09-22 09:32:30.256826 : Epoch  4, Batch   1196, Loss  0.857172, Average Loss  0.870777, Time  0.237328
2021-09-22 09:32:32.893414 : Epoch  4, Batch   1197, Loss  0.859535, Average Loss  0.870644, Time  0.236049
2021-09-22 09:32:35.539417 : Epoch  4, Batch   1198, Loss  0.876819, Average Loss  0.870739, Time  0.239201
2021-09-22 09:32:38.214807 : Epoch  4, Batch   1199, Loss  0.881989, Average Loss  0.870895, Time  0.238965
2021-09-22 09:32:40.879744 : Epoch  4, Batch   1200, Loss  0.884405, Average Loss  0.870861, Time  0.236913
2021-09-22 09:32:43.537433 : Epoch  4, Batch   1201, Loss  0.864464, Average Loss  0.870861, Time  0.236778
2021-09-22 09:32:46.192174 : Epoch  4, Batch   1202, Loss  0.890881, Average Loss  0.870972, Time  0.236085
2021-09-22 09:32:48.826588 : Epoch  4, Batch   1203, Loss  0.871075, Average Loss  0.870961, Time  0.236654
2021-09-22 09:32:51.484934 : Epoch  4, Batch   1204, Loss  0.864384, Average Loss  0.870968, Time  0.241999
2021-09-22 09:32:54.118092 : Epoch  4, Batch   1205, Loss  0.882594, Average Loss  0.871093, Time  0.236420
2021-09-22 09:32:56.771242 : Epoch  4, Batch   1206, Loss  0.868181, Average Loss  0.871019, Time  0.236745
2021-09-22 09:32:59.416798 : Epoch  4, Batch   1207, Loss  0.862825, Average Loss  0.870894, Time  0.236819
2021-09-22 09:33:02.055232 : Epoch  4, Batch   1208, Loss  0.869496, Average Loss  0.870998, Time  0.236652
2021-09-22 09:33:04.690017 : Epoch  4, Batch   1209, Loss  0.887463, Average Loss  0.871033, Time  0.236457
2021-09-22 09:33:07.325413 : Epoch  4, Batch   1210, Loss  0.870652, Average Loss  0.871024, Time  0.236217
2021-09-22 09:33:09.968866 : Epoch  4, Batch   1211, Loss  0.864754, Average Loss  0.871092, Time  0.236178
2021-09-22 09:33:12.600410 : Epoch  4, Batch   1212, Loss  0.887952, Average Loss  0.871187, Time  0.237438
2021-09-22 09:33:15.239427 : Epoch  4, Batch   1213, Loss  0.859887, Average Loss  0.871103, Time  0.236963
2021-09-22 09:33:17.884374 : Epoch  4, Batch   1214, Loss  0.850799, Average Loss  0.871030, Time  0.236804
2021-09-22 09:33:20.512427 : Epoch  4, Batch   1215, Loss  0.857343, Average Loss  0.870999, Time  0.236637
2021-09-22 09:33:23.151852 : Epoch  4, Batch   1216, Loss  0.869007, Average Loss  0.870963, Time  0.237170
2021-09-22 09:33:25.781950 : Epoch  4, Batch   1217, Loss  0.888422, Average Loss  0.871043, Time  0.237859
2021-09-22 09:33:28.413010 : Epoch  4, Batch   1218, Loss  0.857456, Average Loss  0.871060, Time  0.236299
2021-09-22 09:33:31.050909 : Epoch  4, Batch   1219, Loss  0.881462, Average Loss  0.871178, Time  0.237688
2021-09-22 09:33:33.698405 : Epoch  4, Batch   1220, Loss  0.862095, Average Loss  0.871031, Time  0.238684
2021-09-22 09:33:36.340025 : Epoch  4, Batch   1221, Loss  0.867746, Average Loss  0.871007, Time  0.237049
2021-09-22 09:33:38.976592 : Epoch  4, Batch   1222, Loss  0.867700, Average Loss  0.871048, Time  0.237731
2021-09-22 09:33:41.616420 : Epoch  4, Batch   1223, Loss  0.861323, Average Loss  0.870883, Time  0.236819
2021-09-22 09:33:44.274053 : Epoch  4, Batch   1224, Loss  0.872849, Average Loss  0.870890, Time  0.237100
2021-09-22 09:33:46.918971 : Epoch  4, Batch   1225, Loss  0.870538, Average Loss  0.870988, Time  0.236217
2021-09-22 09:33:49.551178 : Epoch  4, Batch   1226, Loss  0.864632, Average Loss  0.870968, Time  0.236883
2021-09-22 09:33:52.187813 : Epoch  4, Batch   1227, Loss  0.862781, Average Loss  0.871047, Time  0.237995
2021-09-22 09:33:54.833821 : Epoch  4, Batch   1228, Loss  0.867235, Average Loss  0.871116, Time  0.236530
2021-09-22 09:33:57.474909 : Epoch  4, Batch   1229, Loss  0.877877, Average Loss  0.871120, Time  0.236391
2021-09-22 09:34:00.141897 : Epoch  4, Batch   1230, Loss  0.881195, Average Loss  0.871205, Time  0.238170
2021-09-22 09:34:02.787034 : Epoch  4, Batch   1231, Loss  0.875286, Average Loss  0.871180, Time  0.235914
2021-09-22 09:34:05.445438 : Epoch  4, Batch   1232, Loss  0.844589, Average Loss  0.870966, Time  0.244170
2021-09-22 09:38:14.715033 : CheckPoint: Validation Loss  0.00030456, Best Loss  0.00029452
2021-09-22 09:38:17.362238 : Epoch  4, Batch   1233, Loss  0.876470, Average Loss  0.871066, Time  0.239792
2021-09-22 09:38:20.002085 : Epoch  4, Batch   1234, Loss  0.852201, Average Loss  0.870995, Time  0.236406
2021-09-22 09:38:22.637220 : Epoch  4, Batch   1235, Loss  0.866098, Average Loss  0.871006, Time  0.235910
2021-09-22 09:38:25.290647 : Epoch  4, Batch   1236, Loss  0.846337, Average Loss  0.870969, Time  0.236999
2021-09-22 09:38:27.927432 : Epoch  4, Batch   1237, Loss  0.854388, Average Loss  0.870903, Time  0.236185
2021-09-22 09:38:30.573451 : Epoch  4, Batch   1238, Loss  0.867679, Average Loss  0.870983, Time  0.237031
2021-09-22 09:38:33.214365 : Epoch  4, Batch   1239, Loss  0.876551, Average Loss  0.871087, Time  0.236744
2021-09-22 09:38:35.858062 : Epoch  4, Batch   1240, Loss  0.888350, Average Loss  0.871126, Time  0.237405
2021-09-22 09:38:38.500363 : Epoch  4, Batch   1241, Loss  0.875150, Average Loss  0.871179, Time  0.235505
2021-09-22 09:38:41.134405 : Epoch  4, Batch   1242, Loss  0.865827, Average Loss  0.871041, Time  0.236131
2021-09-22 09:38:43.775401 : Epoch  4, Batch   1243, Loss  0.850930, Average Loss  0.870970, Time  0.236036
2021-09-22 09:38:46.415235 : Epoch  4, Batch   1244, Loss  0.903331, Average Loss  0.871053, Time  0.237128
2021-09-22 09:38:49.054428 : Epoch  4, Batch   1245, Loss  0.870521, Average Loss  0.871105, Time  0.236254
2021-09-22 09:38:51.717112 : Epoch  4, Batch   1246, Loss  0.862443, Average Loss  0.870971, Time  0.236709
2021-09-22 09:38:54.385966 : Epoch  4, Batch   1247, Loss  0.874306, Average Loss  0.871045, Time  0.236823
2021-09-22 09:38:57.027885 : Epoch  4, Batch   1248, Loss  0.856511, Average Loss  0.870933, Time  0.236597
2021-09-22 09:38:59.672967 : Epoch  4, Batch   1249, Loss  0.880166, Average Loss  0.870933, Time  0.237177
2021-09-22 09:39:02.302935 : Epoch  4, Batch   1250, Loss  0.864423, Average Loss  0.870879, Time  0.236307
2021-09-22 09:39:04.950720 : Epoch  4, Batch   1251, Loss  0.868349, Average Loss  0.870856, Time  0.237013
2021-09-22 09:39:07.603435 : Epoch  4, Batch   1252, Loss  0.850465, Average Loss  0.870853, Time  0.236790
2021-09-22 09:39:10.260898 : Epoch  4, Batch   1253, Loss  0.875487, Average Loss  0.870817, Time  0.236099
2021-09-22 09:39:12.896545 : Epoch  4, Batch   1254, Loss  0.879261, Average Loss  0.870993, Time  0.237158
2021-09-22 09:39:15.542125 : Epoch  4, Batch   1255, Loss  0.857808, Average Loss  0.870838, Time  0.236440
2021-09-22 09:39:18.212181 : Epoch  4, Batch   1256, Loss  0.846980, Average Loss  0.870784, Time  0.247897
2021-09-22 09:39:20.853947 : Epoch  4, Batch   1257, Loss  0.875587, Average Loss  0.870826, Time  0.236033
2021-09-22 09:39:23.505169 : Epoch  4, Batch   1258, Loss  0.900414, Average Loss  0.871034, Time  0.237102
2021-09-22 09:39:26.150840 : Epoch  4, Batch   1259, Loss  0.867002, Average Loss  0.870982, Time  0.236269
2021-09-22 09:39:28.846384 : Epoch  4, Batch   1260, Loss  0.876367, Average Loss  0.871008, Time  0.236313
2021-09-22 09:39:31.479426 : Epoch  4, Batch   1261, Loss  0.868522, Average Loss  0.871046, Time  0.236256
2021-09-22 09:39:34.107025 : Epoch  4, Batch   1262, Loss  0.881259, Average Loss  0.871002, Time  0.236008
2021-09-22 09:39:36.739953 : Epoch  4, Batch   1263, Loss  0.861101, Average Loss  0.870936, Time  0.236932
2021-09-22 09:39:39.386184 : Epoch  4, Batch   1264, Loss  0.887991, Average Loss  0.871039, Time  0.237158
2021-09-22 09:39:42.029052 : Epoch  4, Batch   1265, Loss  0.852884, Average Loss  0.870922, Time  0.236776
2021-09-22 09:39:44.658031 : Epoch  4, Batch   1266, Loss  0.877740, Average Loss  0.870851, Time  0.237309
2021-09-22 09:39:47.305203 : Epoch  4, Batch   1267, Loss  0.856414, Average Loss  0.870900, Time  0.236187
2021-09-22 09:39:49.942412 : Epoch  4, Batch   1268, Loss  0.899468, Average Loss  0.871042, Time  0.236837
2021-09-22 09:39:52.575362 : Epoch  4, Batch   1269, Loss  0.898638, Average Loss  0.871168, Time  0.236091
2021-09-22 09:39:55.219289 : Epoch  4, Batch   1270, Loss  0.854411, Average Loss  0.871123, Time  0.237201
2021-09-22 09:39:57.895416 : Epoch  4, Batch   1271, Loss  0.856857, Average Loss  0.871079, Time  0.236678
2021-09-22 09:40:00.548435 : Epoch  4, Batch   1272, Loss  0.856948, Average Loss  0.870977, Time  0.237678
2021-09-22 09:40:03.213120 : Epoch  4, Batch   1273, Loss  0.861767, Average Loss  0.870886, Time  0.236932
2021-09-22 09:40:05.916920 : Epoch  4, Batch   1274, Loss  0.871920, Average Loss  0.870891, Time  0.236950
2021-09-22 09:40:08.576923 : Epoch  4, Batch   1275, Loss  0.877942, Average Loss  0.870885, Time  0.236628
2021-09-22 09:40:11.239431 : Epoch  4, Batch   1276, Loss  0.867560, Average Loss  0.870854, Time  0.237270
2021-09-22 09:40:13.885654 : Epoch  4, Batch   1277, Loss  0.861530, Average Loss  0.870840, Time  0.236146
2021-09-22 09:40:16.545455 : Epoch  4, Batch   1278, Loss  0.860568, Average Loss  0.870777, Time  0.236199
2021-09-22 09:40:19.235416 : Epoch  4, Batch   1279, Loss  0.870485, Average Loss  0.870799, Time  0.236984
2021-09-22 09:40:21.877045 : Epoch  4, Batch   1280, Loss  0.878670, Average Loss  0.870835, Time  0.236481
2021-09-22 09:40:24.521944 : Epoch  4, Batch   1281, Loss  0.874855, Average Loss  0.870767, Time  0.236814
2021-09-22 09:40:27.172999 : Epoch  4, Batch   1282, Loss  0.834793, Average Loss  0.870585, Time  0.236544
2021-09-22 09:40:29.806455 : Epoch  4, Batch   1283, Loss  0.881843, Average Loss  0.870653, Time  0.236022
2021-09-22 09:40:32.444681 : Epoch  4, Batch   1284, Loss  0.856949, Average Loss  0.870692, Time  0.236567
2021-09-22 09:40:35.091419 : Epoch  4, Batch   1285, Loss  0.872447, Average Loss  0.870681, Time  0.236113
2021-09-22 09:40:37.734898 : Epoch  4, Batch   1286, Loss  0.864201, Average Loss  0.870597, Time  0.236076
2021-09-22 09:40:40.383205 : Epoch  4, Batch   1287, Loss  0.869245, Average Loss  0.870550, Time  0.236295
2021-09-22 09:40:43.030196 : Epoch  4, Batch   1288, Loss  0.876499, Average Loss  0.870525, Time  0.236883
2021-09-22 09:40:45.674387 : Epoch  4, Batch   1289, Loss  0.865860, Average Loss  0.870424, Time  0.236373
2021-09-22 09:40:48.319416 : Epoch  4, Batch   1290, Loss  0.890906, Average Loss  0.870522, Time  0.236202
2021-09-22 09:40:50.958808 : Epoch  4, Batch   1291, Loss  0.867745, Average Loss  0.870572, Time  0.236250
2021-09-22 09:40:53.601641 : Epoch  4, Batch   1292, Loss  0.855732, Average Loss  0.870634, Time  0.236445
2021-09-22 09:40:56.245904 : Epoch  4, Batch   1293, Loss  0.866921, Average Loss  0.870529, Time  0.237444
2021-09-22 09:40:58.911038 : Epoch  4, Batch   1294, Loss  0.875736, Average Loss  0.870582, Time  0.237839
2021-09-22 09:41:01.565296 : Epoch  4, Batch   1295, Loss  0.864228, Average Loss  0.870454, Time  0.236540
2021-09-22 09:41:04.213141 : Epoch  4, Batch   1296, Loss  0.888445, Average Loss  0.870398, Time  0.236800
2021-09-22 09:41:06.878085 : Epoch  4, Batch   1297, Loss  0.869499, Average Loss  0.870322, Time  0.236955
2021-09-22 09:41:09.531849 : Epoch  4, Batch   1298, Loss  0.867176, Average Loss  0.870293, Time  0.236509
2021-09-22 09:41:12.174612 : Epoch  4, Batch   1299, Loss  0.856545, Average Loss  0.870319, Time  0.236995
2021-09-22 09:41:14.819901 : Epoch  4, Batch   1300, Loss  0.881482, Average Loss  0.870363, Time  0.236742
2021-09-22 09:41:17.468400 : Epoch  4, Batch   1301, Loss  0.856731, Average Loss  0.870394, Time  0.236266
2021-09-22 09:41:20.122409 : Epoch  4, Batch   1302, Loss  0.873126, Average Loss  0.870365, Time  0.236283
2021-09-22 09:41:22.758431 : Epoch  4, Batch   1303, Loss  0.870668, Average Loss  0.870364, Time  0.236152
2021-09-22 09:41:25.415871 : Epoch  4, Batch   1304, Loss  0.865365, Average Loss  0.870233, Time  0.236728
2021-09-22 09:41:28.055855 : Epoch  4, Batch   1305, Loss  0.837196, Average Loss  0.870062, Time  0.235747
2021-09-22 09:41:30.696959 : Epoch  4, Batch   1306, Loss  0.860400, Average Loss  0.870077, Time  0.236945
2021-09-22 09:41:33.344401 : Epoch  4, Batch   1307, Loss  0.868681, Average Loss  0.869978, Time  0.236187
2021-09-22 09:41:35.979351 : Epoch  4, Batch   1308, Loss  0.871520, Average Loss  0.869964, Time  0.237455
2021-09-22 09:41:38.620395 : Epoch  4, Batch   1309, Loss  0.870485, Average Loss  0.870066, Time  0.236031
2021-09-22 09:41:41.273853 : Epoch  4, Batch   1310, Loss  0.869050, Average Loss  0.870123, Time  0.236981
2021-09-22 09:41:43.925979 : Epoch  4, Batch   1311, Loss  0.860347, Average Loss  0.869956, Time  0.236911
2021-09-22 09:41:46.568616 : Epoch  4, Batch   1312, Loss  0.866421, Average Loss  0.869855, Time  0.236800
2021-09-22 09:41:49.217956 : Epoch  4, Batch   1313, Loss  0.861042, Average Loss  0.869779, Time  0.236261
2021-09-22 09:41:51.877838 : Epoch  4, Batch   1314, Loss  0.883595, Average Loss  0.869870, Time  0.238115
2021-09-22 09:41:54.546823 : Epoch  4, Batch   1315, Loss  0.875566, Average Loss  0.869938, Time  0.237338
2021-09-22 09:41:57.199631 : Epoch  4, Batch   1316, Loss  0.878905, Average Loss  0.869823, Time  0.235791
2021-09-22 09:41:59.844406 : Epoch  4, Batch   1317, Loss  0.856222, Average Loss  0.869747, Time  0.235703
2021-09-22 09:42:02.528132 : Epoch  4, Batch   1318, Loss  0.865190, Average Loss  0.869737, Time  0.237573
2021-09-22 09:42:05.176201 : Epoch  4, Batch   1319, Loss  0.864245, Average Loss  0.869695, Time  0.236645
2021-09-22 09:42:07.833029 : Epoch  4, Batch   1320, Loss  0.862985, Average Loss  0.869621, Time  0.237807
2021-09-22 09:42:10.494063 : Epoch  4, Batch   1321, Loss  0.859181, Average Loss  0.869659, Time  0.236244
2021-09-22 09:42:13.145411 : Epoch  4, Batch   1322, Loss  0.863342, Average Loss  0.869591, Time  0.236481
2021-09-22 09:42:15.807833 : Epoch  4, Batch   1323, Loss  0.868423, Average Loss  0.869610, Time  0.237088
2021-09-22 09:42:18.456167 : Epoch  4, Batch   1324, Loss  0.876984, Average Loss  0.869608, Time  0.236799
2021-09-22 09:42:21.115220 : Epoch  4, Batch   1325, Loss  0.865077, Average Loss  0.869529, Time  0.236148
2021-09-22 09:42:23.803826 : Epoch  4, Batch   1326, Loss  0.859495, Average Loss  0.869509, Time  0.237229
2021-09-22 09:42:26.470978 : Epoch  4, Batch   1327, Loss  0.881446, Average Loss  0.869455, Time  0.236499
2021-09-22 09:42:29.128422 : Epoch  4, Batch   1328, Loss  0.875397, Average Loss  0.869639, Time  0.236171
2021-09-22 09:42:31.771117 : Epoch  4, Batch   1329, Loss  0.872717, Average Loss  0.869737, Time  0.236772
2021-09-22 09:42:34.428107 : Epoch  4, Batch   1330, Loss  0.870363, Average Loss  0.869747, Time  0.236971
2021-09-22 09:42:37.111532 : Epoch  4, Batch   1331, Loss  0.881562, Average Loss  0.869837, Time  0.236784
2021-09-22 09:42:39.762142 : Epoch  4, Batch   1332, Loss  0.864307, Average Loss  0.869721, Time  0.236993
2021-09-22 09:46:48.703421 : CheckPoint: Validation Loss  0.00030150, Best Loss  0.00029452
2021-09-22 09:46:51.364019 : Epoch  4, Batch   1333, Loss  0.869529, Average Loss  0.869721, Time  0.255994
2021-09-22 09:46:54.002135 : Epoch  4, Batch   1334, Loss  0.859758, Average Loss  0.869647, Time  0.236504
2021-09-22 09:46:56.635692 : Epoch  4, Batch   1335, Loss  0.867473, Average Loss  0.869523, Time  0.235926
2021-09-22 09:46:59.272079 : Epoch  4, Batch   1336, Loss  0.859636, Average Loss  0.869462, Time  0.236607
2021-09-22 09:47:01.908410 : Epoch  4, Batch   1337, Loss  0.859989, Average Loss  0.869397, Time  0.236158
2021-09-22 09:47:04.547644 : Epoch  4, Batch   1338, Loss  0.881251, Average Loss  0.869378, Time  0.236364
2021-09-22 09:47:07.184240 : Epoch  4, Batch   1339, Loss  0.870473, Average Loss  0.869357, Time  0.236260
2021-09-22 09:47:09.825455 : Epoch  4, Batch   1340, Loss  0.868344, Average Loss  0.869399, Time  0.236360
2021-09-22 09:47:12.488094 : Epoch  4, Batch   1341, Loss  0.885584, Average Loss  0.869570, Time  0.237402
2021-09-22 09:47:15.132738 : Epoch  4, Batch   1342, Loss  0.864342, Average Loss  0.869404, Time  0.237730
2021-09-22 09:47:17.791848 : Epoch  4, Batch   1343, Loss  0.859267, Average Loss  0.869445, Time  0.236435
2021-09-22 09:47:20.458230 : Epoch  4, Batch   1344, Loss  0.863768, Average Loss  0.869410, Time  0.236747
2021-09-22 09:47:23.106113 : Epoch  4, Batch   1345, Loss  0.861110, Average Loss  0.869254, Time  0.236404
2021-09-22 09:47:25.758822 : Epoch  4, Batch   1346, Loss  0.875970, Average Loss  0.869383, Time  0.237627
2021-09-22 09:47:28.395435 : Epoch  4, Batch   1347, Loss  0.871462, Average Loss  0.869386, Time  0.235796
2021-09-22 09:47:31.052430 : Epoch  4, Batch   1348, Loss  0.861399, Average Loss  0.869285, Time  0.235804
2021-09-22 09:47:33.699254 : Epoch  4, Batch   1349, Loss  0.866913, Average Loss  0.869380, Time  0.236448
2021-09-22 09:47:36.352994 : Epoch  4, Batch   1350, Loss  0.877166, Average Loss  0.869438, Time  0.236308
2021-09-22 09:47:38.996982 : Epoch  4, Batch   1351, Loss  0.872150, Average Loss  0.869444, Time  0.236573
2021-09-22 09:47:41.653851 : Epoch  4, Batch   1352, Loss  0.880578, Average Loss  0.869496, Time  0.237649
2021-09-22 09:47:44.321310 : Epoch  4, Batch   1353, Loss  0.843095, Average Loss  0.869346, Time  0.237902
2021-09-22 09:47:46.974428 : Epoch  4, Batch   1354, Loss  0.886225, Average Loss  0.869443, Time  0.236679
2021-09-22 09:47:49.619090 : Epoch  4, Batch   1355, Loss  0.872550, Average Loss  0.869388, Time  0.238189
2021-09-22 09:47:52.259241 : Epoch  4, Batch   1356, Loss  0.866113, Average Loss  0.869365, Time  0.237264
2021-09-22 09:47:54.900233 : Epoch  4, Batch   1357, Loss  0.863624, Average Loss  0.869421, Time  0.236393
2021-09-22 09:47:57.540674 : Epoch  4, Batch   1358, Loss  0.868669, Average Loss  0.869370, Time  0.236414
2021-09-22 09:48:00.179917 : Epoch  4, Batch   1359, Loss  0.867146, Average Loss  0.869428, Time  0.236759
2021-09-22 09:48:02.812680 : Epoch  4, Batch   1360, Loss  0.869511, Average Loss  0.869526, Time  0.235867
2021-09-22 09:48:05.451287 : Epoch  4, Batch   1361, Loss  0.878078, Average Loss  0.869491, Time  0.236163
2021-09-22 09:48:08.088319 : Epoch  4, Batch   1362, Loss  0.878702, Average Loss  0.869520, Time  0.236549
2021-09-22 09:48:10.733388 : Epoch  4, Batch   1363, Loss  0.849239, Average Loss  0.869337, Time  0.236745
2021-09-22 09:48:13.386439 : Epoch  4, Batch   1364, Loss  0.871726, Average Loss  0.869250, Time  0.236341
2021-09-22 09:48:16.045415 : Epoch  4, Batch   1365, Loss  0.868443, Average Loss  0.869288, Time  0.237561
2021-09-22 09:48:18.693891 : Epoch  4, Batch   1366, Loss  0.847915, Average Loss  0.869082, Time  0.237507
2021-09-22 09:48:21.349936 : Epoch  4, Batch   1367, Loss  0.871434, Average Loss  0.869195, Time  0.237240
2021-09-22 09:48:23.990867 : Epoch  4, Batch   1368, Loss  0.864306, Average Loss  0.869179, Time  0.236831
2021-09-22 09:48:26.648155 : Epoch  4, Batch   1369, Loss  0.889157, Average Loss  0.869306, Time  0.237264
2021-09-22 09:48:29.349972 : Epoch  4, Batch   1370, Loss  0.884537, Average Loss  0.869402, Time  0.237443
2021-09-22 09:48:32.010084 : Epoch  4, Batch   1371, Loss  0.865925, Average Loss  0.869389, Time  0.237997
2021-09-22 09:48:34.653160 : Epoch  4, Batch   1372, Loss  0.877885, Average Loss  0.869401, Time  0.236504
2021-09-22 09:48:37.312031 : Epoch  4, Batch   1373, Loss  0.867682, Average Loss  0.869408, Time  0.236794
2021-09-22 09:48:39.959100 : Epoch  4, Batch   1374, Loss  0.883170, Average Loss  0.869519, Time  0.236122
2021-09-22 09:48:42.612938 : Epoch  4, Batch   1375, Loss  0.876818, Average Loss  0.869505, Time  0.236304
2021-09-22 09:48:45.275045 : Epoch  4, Batch   1376, Loss  0.889918, Average Loss  0.869582, Time  0.237262
2021-09-22 09:48:47.927925 : Epoch  4, Batch   1377, Loss  0.898053, Average Loss  0.869684, Time  0.238041
2021-09-22 09:48:50.599830 : Epoch  4, Batch   1378, Loss  0.863061, Average Loss  0.869636, Time  0.236751
2021-09-22 09:48:53.256880 : Epoch  4, Batch   1379, Loss  0.866266, Average Loss  0.869723, Time  0.236670
2021-09-22 09:48:55.916276 : Epoch  4, Batch   1380, Loss  0.850703, Average Loss  0.869613, Time  0.236415
2021-09-22 09:48:58.552888 : Epoch  4, Batch   1381, Loss  0.846181, Average Loss  0.869453, Time  0.238121
2021-09-22 09:49:01.197979 : Epoch  4, Batch   1382, Loss  0.868680, Average Loss  0.869285, Time  0.237528
2021-09-22 09:49:03.853435 : Epoch  4, Batch   1383, Loss  0.854376, Average Loss  0.869260, Time  0.237356
2021-09-22 09:49:06.508392 : Epoch  4, Batch   1384, Loss  0.880851, Average Loss  0.869347, Time  0.236675
2021-09-22 09:49:09.157636 : Epoch  4, Batch   1385, Loss  0.866120, Average Loss  0.869357, Time  0.236452
2021-09-22 09:49:11.844053 : Epoch  4, Batch   1386, Loss  0.870897, Average Loss  0.869430, Time  0.237156
2021-09-22 09:49:14.500166 : Epoch  4, Batch   1387, Loss  0.865151, Average Loss  0.869488, Time  0.235887
2021-09-22 09:49:17.146864 : Epoch  4, Batch   1388, Loss  0.867463, Average Loss  0.869426, Time  0.236860
2021-09-22 09:49:19.815846 : Epoch  4, Batch   1389, Loss  0.885132, Average Loss  0.869484, Time  0.237722
2021-09-22 09:49:22.464406 : Epoch  4, Batch   1390, Loss  0.874808, Average Loss  0.869337, Time  0.236640
2021-09-22 09:49:25.108675 : Epoch  4, Batch   1391, Loss  0.860473, Average Loss  0.869260, Time  0.236092
2021-09-22 09:49:27.775918 : Epoch  4, Batch   1392, Loss  0.882439, Average Loss  0.869357, Time  0.236744
2021-09-22 09:49:30.414153 : Epoch  4, Batch   1393, Loss  0.860200, Average Loss  0.869269, Time  0.236746
2021-09-22 09:49:33.072393 : Epoch  4, Batch   1394, Loss  0.858323, Average Loss  0.869200, Time  0.236260
2021-09-22 09:49:35.728851 : Epoch  4, Batch   1395, Loss  0.884907, Average Loss  0.869181, Time  0.236613
2021-09-22 09:49:38.374998 : Epoch  4, Batch   1396, Loss  0.874874, Average Loss  0.869269, Time  0.236677
2021-09-22 09:49:41.021426 : Epoch  4, Batch   1397, Loss  0.882362, Average Loss  0.869384, Time  0.235962
2021-09-22 09:49:43.672293 : Epoch  4, Batch   1398, Loss  0.886780, Average Loss  0.869433, Time  0.236775
2021-09-22 09:49:46.335701 : Epoch  4, Batch   1399, Loss  0.869909, Average Loss  0.869373, Time  0.237038
2021-09-22 09:49:48.984849 : Epoch  4, Batch   1400, Loss  0.868555, Average Loss  0.869294, Time  0.237802
2021-09-22 09:49:51.633201 : Epoch  4, Batch   1401, Loss  0.869625, Average Loss  0.869320, Time  0.237376
2021-09-22 09:49:54.279080 : Epoch  4, Batch   1402, Loss  0.872735, Average Loss  0.869229, Time  0.237163
2021-09-22 09:49:56.934963 : Epoch  4, Batch   1403, Loss  0.867314, Average Loss  0.869210, Time  0.237307
2021-09-22 09:49:59.576974 : Epoch  4, Batch   1404, Loss  0.859022, Average Loss  0.869183, Time  0.237051
2021-09-22 09:50:02.216412 : Epoch  4, Batch   1405, Loss  0.868451, Average Loss  0.869113, Time  0.236150
2021-09-22 09:50:04.863403 : Epoch  4, Batch   1406, Loss  0.871444, Average Loss  0.869129, Time  0.236845
2021-09-22 09:50:07.496866 : Epoch  4, Batch   1407, Loss  0.860946, Average Loss  0.869119, Time  0.236454
2021-09-22 09:50:10.133650 : Epoch  4, Batch   1408, Loss  0.845379, Average Loss  0.868999, Time  0.235639
2021-09-22 09:50:12.784850 : Epoch  4, Batch   1409, Loss  0.871918, Average Loss  0.868921, Time  0.237408
2021-09-22 09:50:15.431286 : Epoch  4, Batch   1410, Loss  0.861070, Average Loss  0.868873, Time  0.236176
2021-09-22 09:50:18.065024 : Epoch  4, Batch   1411, Loss  0.865656, Average Loss  0.868878, Time  0.236104
2021-09-22 09:50:20.720257 : Epoch  4, Batch   1412, Loss  0.888026, Average Loss  0.868878, Time  0.236546
2021-09-22 09:50:23.376383 : Epoch  4, Batch   1413, Loss  0.878933, Average Loss  0.868973, Time  0.235735
2021-09-22 09:50:26.029431 : Epoch  4, Batch   1414, Loss  0.877676, Average Loss  0.869108, Time  0.236315
2021-09-22 09:50:28.667035 : Epoch  4, Batch   1415, Loss  0.851877, Average Loss  0.869080, Time  0.236028
2021-09-22 09:50:31.303832 : Epoch  4, Batch   1416, Loss  0.876605, Average Loss  0.869118, Time  0.236695
2021-09-22 09:50:33.965419 : Epoch  4, Batch   1417, Loss  0.872031, Average Loss  0.869036, Time  0.236107
2021-09-22 09:50:36.610404 : Epoch  4, Batch   1418, Loss  0.890332, Average Loss  0.869201, Time  0.235646
2021-09-22 09:50:39.273642 : Epoch  4, Batch   1419, Loss  0.865519, Average Loss  0.869121, Time  0.235972
2021-09-22 09:50:41.911273 : Epoch  4, Batch   1420, Loss  0.876112, Average Loss  0.869191, Time  0.236381
2021-09-22 09:50:44.584959 : Epoch  4, Batch   1421, Loss  0.873847, Average Loss  0.869222, Time  0.236600
2021-09-22 09:50:47.242325 : Epoch  4, Batch   1422, Loss  0.873381, Average Loss  0.869250, Time  0.237871
2021-09-22 09:50:49.891377 : Epoch  4, Batch   1423, Loss  0.880582, Average Loss  0.869346, Time  0.236356
2021-09-22 09:50:52.526948 : Epoch  4, Batch   1424, Loss  0.883536, Average Loss  0.869400, Time  0.236516
2021-09-22 09:50:55.137431 : Epoch  4, Batch   1425, Loss  0.873156, Average Loss  0.869413, Time  0.235522
2021-09-22 09:50:57.747881 : Epoch  4, Batch   1426, Loss  0.865749, Average Loss  0.869418, Time  0.235806
2021-09-22 09:51:00.355937 : Epoch  4, Batch   1427, Loss  0.879113, Average Loss  0.869500, Time  0.239021
2021-09-22 09:51:02.980058 : Epoch  4, Batch   1428, Loss  0.878711, Average Loss  0.869558, Time  0.245267
2021-09-22 09:51:05.598341 : Epoch  4, Batch   1429, Loss  0.865377, Average Loss  0.869495, Time  0.245182
2021-09-22 09:51:08.223135 : Epoch  4, Batch   1430, Loss  0.874591, Average Loss  0.869462, Time  0.235749
2021-09-22 09:51:10.875257 : Epoch  4, Batch   1431, Loss  0.846996, Average Loss  0.869321, Time  0.237877
2021-09-22 09:51:22.827260 : Epoch  4, Batch   1432, Loss  0.881733, Average Loss  0.869506, Time  0.263293
2021-09-22 09:55:30.093759 : CheckPoint: Validation Loss  0.00030260, Best Loss  0.00029452
2021-09-22 09:55:32.739070 : Epoch  4, Batch   1433, Loss  0.873555, Average Loss  0.869492, Time  0.237984
2021-09-22 09:55:35.445203 : Epoch  4, Batch   1434, Loss  0.878118, Average Loss  0.869621, Time  0.237803
2021-09-22 09:55:38.081941 : Epoch  4, Batch   1435, Loss  0.876171, Average Loss  0.869672, Time  0.236821
2021-09-22 09:55:40.715638 : Epoch  4, Batch   1436, Loss  0.847004, Average Loss  0.869675, Time  0.236090
2021-09-22 09:55:43.417843 : Epoch  4, Batch   1437, Loss  0.865032, Average Loss  0.869728, Time  0.237205
2021-09-22 09:55:46.056007 : Epoch  4, Batch   1438, Loss  0.872138, Average Loss  0.869751, Time  0.236483
2021-09-22 09:55:48.711711 : Epoch  4, Batch   1439, Loss  0.867793, Average Loss  0.869707, Time  0.235952
2021-09-22 09:55:51.362887 : Epoch  4, Batch   1440, Loss  0.873337, Average Loss  0.869632, Time  0.237060
2021-09-22 09:55:54.017062 : Epoch  4, Batch   1441, Loss  0.849983, Average Loss  0.869506, Time  0.236200
2021-09-22 09:55:56.652121 : Epoch  4, Batch   1442, Loss  0.883228, Average Loss  0.869593, Time  0.236104
2021-09-22 09:55:59.283939 : Epoch  4, Batch   1443, Loss  0.886031, Average Loss  0.869768, Time  0.235840
2021-09-22 09:56:01.944064 : Epoch  4, Batch   1444, Loss  0.849196, Average Loss  0.869498, Time  0.236102
2021-09-22 09:56:04.590344 : Epoch  4, Batch   1445, Loss  0.862456, Average Loss  0.869457, Time  0.236595
2021-09-22 09:56:07.224712 : Epoch  4, Batch   1446, Loss  0.857418, Average Loss  0.869432, Time  0.236661
2021-09-22 09:56:09.860543 : Epoch  4, Batch   1447, Loss  0.886011, Average Loss  0.869491, Time  0.236752
2021-09-22 09:56:12.500240 : Epoch  4, Batch   1448, Loss  0.867705, Average Loss  0.869547, Time  0.236570
2021-09-22 09:56:15.142022 : Epoch  4, Batch   1449, Loss  0.875059, Average Loss  0.869521, Time  0.236794
2021-09-22 09:56:17.770882 : Epoch  4, Batch   1450, Loss  0.871576, Average Loss  0.869557, Time  0.236475
2021-09-22 09:56:20.425028 : Epoch  4, Batch   1451, Loss  0.881700, Average Loss  0.869624, Time  0.236235
2021-09-22 09:56:23.062354 : Epoch  4, Batch   1452, Loss  0.873098, Average Loss  0.869737, Time  0.236500
2021-09-22 09:56:25.708811 : Epoch  4, Batch   1453, Loss  0.886737, Average Loss  0.869793, Time  0.236615
2021-09-22 09:56:28.353662 : Epoch  4, Batch   1454, Loss  0.857731, Average Loss  0.869685, Time  0.236251
2021-09-22 09:56:30.984850 : Epoch  4, Batch   1455, Loss  0.873638, Average Loss  0.869765, Time  0.236760
2021-09-22 09:56:33.607153 : Epoch  4, Batch   1456, Loss  0.858752, Average Loss  0.869823, Time  0.237265
2021-09-22 09:56:36.243923 : Epoch  4, Batch   1457, Loss  0.885150, Average Loss  0.869871, Time  0.237161
2021-09-22 09:56:38.898977 : Epoch  4, Batch   1458, Loss  0.867758, Average Loss  0.869708, Time  0.236697
2021-09-22 09:56:41.550749 : Epoch  4, Batch   1459, Loss  0.895467, Average Loss  0.869850, Time  0.236134
2021-09-22 09:56:44.210872 : Epoch  4, Batch   1460, Loss  0.855948, Average Loss  0.869748, Time  0.237415
2021-09-22 09:56:46.839503 : Epoch  4, Batch   1461, Loss  0.875710, Average Loss  0.869784, Time  0.236008
2021-09-22 09:56:49.482849 : Epoch  4, Batch   1462, Loss  0.860130, Average Loss  0.869679, Time  0.236783
2021-09-22 09:56:52.169605 : Epoch  4, Batch   1463, Loss  0.856068, Average Loss  0.869653, Time  0.236149
2021-09-22 09:56:54.782066 : Epoch  4, Batch   1464, Loss  0.858430, Average Loss  0.869506, Time  0.236452
2021-09-22 09:56:57.428265 : Epoch  4, Batch   1465, Loss  0.874753, Average Loss  0.869615, Time  0.235836
2021-09-22 09:57:00.049605 : Epoch  4, Batch   1466, Loss  0.857629, Average Loss  0.869514, Time  0.237734
2021-09-22 09:57:02.675137 : Epoch  4, Batch   1467, Loss  0.874680, Average Loss  0.869606, Time  0.235718
2021-09-22 09:57:05.294512 : Epoch  4, Batch   1468, Loss  0.864438, Average Loss  0.869431, Time  0.236249
2021-09-22 09:57:07.929188 : Epoch  4, Batch   1469, Loss  0.858385, Average Loss  0.869229, Time  0.236494
2021-09-22 09:57:10.562237 : Epoch  4, Batch   1470, Loss  0.880445, Average Loss  0.869359, Time  0.236676
2021-09-22 09:57:13.209242 : Epoch  4, Batch   1471, Loss  0.872791, Average Loss  0.869439, Time  0.235548
2021-09-22 09:57:15.883932 : Epoch  4, Batch   1472, Loss  0.867697, Average Loss  0.869493, Time  0.236784
2021-09-22 09:57:18.528406 : Epoch  4, Batch   1473, Loss  0.886926, Average Loss  0.869619, Time  0.235724
2021-09-22 09:57:21.187969 : Epoch  4, Batch   1474, Loss  0.867972, Average Loss  0.869599, Time  0.236282
2021-09-22 09:57:23.828079 : Epoch  4, Batch   1475, Loss  0.876399, Average Loss  0.869591, Time  0.239887
2021-09-22 09:57:26.478375 : Epoch  4, Batch   1476, Loss  0.862527, Average Loss  0.869566, Time  0.236272
2021-09-22 09:57:29.118240 : Epoch  4, Batch   1477, Loss  0.891240, Average Loss  0.869715, Time  0.236558
2021-09-22 09:57:31.758955 : Epoch  4, Batch   1478, Loss  0.859929, Average Loss  0.869711, Time  0.238217
2021-09-22 09:57:34.409064 : Epoch  4, Batch   1479, Loss  0.883767, Average Loss  0.869778, Time  0.236914
2021-09-22 09:57:37.048948 : Epoch  4, Batch   1480, Loss  0.893240, Average Loss  0.869851, Time  0.237642
2021-09-22 09:57:39.690261 : Epoch  4, Batch   1481, Loss  0.873808, Average Loss  0.869845, Time  0.236730
2021-09-22 09:57:42.336028 : Epoch  4, Batch   1482, Loss  0.879572, Average Loss  0.870069, Time  0.237385
2021-09-22 09:57:44.988940 : Epoch  4, Batch   1483, Loss  0.873432, Average Loss  0.870027, Time  0.236674
2021-09-22 09:57:47.676415 : Epoch  4, Batch   1484, Loss  0.876746, Average Loss  0.870126, Time  0.236431
2021-09-22 09:57:50.320853 : Epoch  4, Batch   1485, Loss  0.868551, Average Loss  0.870107, Time  0.236267
2021-09-22 09:57:52.957420 : Epoch  4, Batch   1486, Loss  0.871593, Average Loss  0.870144, Time  0.236759
2021-09-22 09:57:55.600958 : Epoch  4, Batch   1487, Loss  0.865063, Average Loss  0.870123, Time  0.237229
2021-09-22 09:57:58.233305 : Epoch  4, Batch   1488, Loss  0.888475, Average Loss  0.870183, Time  0.236736
2021-09-22 09:58:00.873386 : Epoch  4, Batch   1489, Loss  0.901360, Average Loss  0.870360, Time  0.235772
2021-09-22 09:58:03.529919 : Epoch  4, Batch   1490, Loss  0.875219, Average Loss  0.870282, Time  0.236147
2021-09-22 09:58:06.177015 : Epoch  4, Batch   1491, Loss  0.873973, Average Loss  0.870313, Time  0.236071
2021-09-22 09:58:08.804946 : Epoch  4, Batch   1492, Loss  0.866661, Average Loss  0.870368, Time  0.236034
2021-09-22 09:58:11.444405 : Epoch  4, Batch   1493, Loss  0.868378, Average Loss  0.870375, Time  0.235980
2021-09-22 09:58:14.075956 : Epoch  4, Batch   1494, Loss  0.852029, Average Loss  0.870256, Time  0.236305
2021-09-22 09:58:16.719382 : Epoch  4, Batch   1495, Loss  0.859669, Average Loss  0.870233, Time  0.238961
2021-09-22 09:58:19.344427 : Epoch  4, Batch   1496, Loss  0.885781, Average Loss  0.870220, Time  0.237262
2021-09-22 09:58:21.991403 : Epoch  4, Batch   1497, Loss  0.872235, Average Loss  0.870234, Time  0.235404
2021-09-22 09:58:24.607583 : Epoch  4, Batch   1498, Loss  0.862893, Average Loss  0.870212, Time  0.236473
2021-09-22 09:58:27.239943 : Epoch  4, Batch   1499, Loss  0.858437, Average Loss  0.870222, Time  0.236688
2021-09-22 09:58:29.877381 : Epoch  4, Batch   1500, Loss  0.872507, Average Loss  0.870177, Time  0.236387
2021-09-22 09:58:32.512974 : Epoch  4, Batch   1501, Loss  0.878050, Average Loss  0.870284, Time  0.237146
2021-09-22 09:58:35.172210 : Epoch  4, Batch   1502, Loss  0.864101, Average Loss  0.870238, Time  0.237093
2021-09-22 09:58:37.808259 : Epoch  4, Batch   1503, Loss  0.895817, Average Loss  0.870364, Time  0.236964
2021-09-22 09:58:40.459302 : Epoch  4, Batch   1504, Loss  0.889509, Average Loss  0.870485, Time  0.235797
2021-09-22 09:58:43.094107 : Epoch  4, Batch   1505, Loss  0.871709, Average Loss  0.870658, Time  0.236146
2021-09-22 09:58:45.738980 : Epoch  4, Batch   1506, Loss  0.872094, Average Loss  0.870716, Time  0.237035
2021-09-22 09:58:48.410762 : Epoch  4, Batch   1507, Loss  0.854221, Average Loss  0.870644, Time  0.236800
2021-09-22 09:58:51.063394 : Epoch  4, Batch   1508, Loss  0.882817, Average Loss  0.870700, Time  0.237615
2021-09-22 09:58:53.719835 : Epoch  4, Batch   1509, Loss  0.888504, Average Loss  0.870790, Time  0.237029
2021-09-22 09:58:56.360098 : Epoch  4, Batch   1510, Loss  0.881900, Average Loss  0.870855, Time  0.236993
2021-09-22 09:58:59.013005 : Epoch  4, Batch   1511, Loss  0.866058, Average Loss  0.870883, Time  0.236780
2021-09-22 09:59:01.664279 : Epoch  4, Batch   1512, Loss  0.871245, Average Loss  0.870907, Time  0.236404
2021-09-22 09:59:04.305378 : Epoch  4, Batch   1513, Loss  0.871323, Average Loss  0.870959, Time  0.236108
2021-09-22 09:59:06.946893 : Epoch  4, Batch   1514, Loss  0.882994, Average Loss  0.870956, Time  0.235964
2021-09-22 09:59:09.585222 : Epoch  4, Batch   1515, Loss  0.884981, Average Loss  0.871003, Time  0.236645
2021-09-22 09:59:12.218068 : Epoch  4, Batch   1516, Loss  0.871537, Average Loss  0.870966, Time  0.236752
2021-09-22 09:59:14.849893 : Epoch  4, Batch   1517, Loss  0.887977, Average Loss  0.871125, Time  0.236328
2021-09-22 09:59:17.486658 : Epoch  4, Batch   1518, Loss  0.863260, Average Loss  0.871115, Time  0.236226
2021-09-22 09:59:20.127825 : Epoch  4, Batch   1519, Loss  0.850650, Average Loss  0.871047, Time  0.236489
2021-09-22 09:59:22.768210 : Epoch  4, Batch   1520, Loss  0.893663, Average Loss  0.871200, Time  0.236735
2021-09-22 09:59:25.419868 : Epoch  4, Batch   1521, Loss  0.870620, Average Loss  0.871258, Time  0.236382
2021-09-22 09:59:28.070160 : Epoch  4, Batch   1522, Loss  0.872782, Average Loss  0.871305, Time  0.237090
2021-09-22 09:59:30.724653 : Epoch  4, Batch   1523, Loss  0.885333, Average Loss  0.871389, Time  0.237328
2021-09-22 09:59:33.380413 : Epoch  4, Batch   1524, Loss  0.865208, Average Loss  0.871330, Time  0.236486
2021-09-22 09:59:36.024529 : Epoch  4, Batch   1525, Loss  0.870416, Average Loss  0.871357, Time  0.236759
2021-09-22 09:59:38.659111 : Epoch  4, Batch   1526, Loss  0.857293, Average Loss  0.871346, Time  0.236819
2021-09-22 09:59:41.314420 : Epoch  4, Batch   1527, Loss  0.854080, Average Loss  0.871209, Time  0.235943
2021-09-22 09:59:43.965878 : Epoch  4, Batch   1528, Loss  0.897388, Average Loss  0.871319, Time  0.236427
2021-09-22 09:59:46.614885 : Epoch  4, Batch   1529, Loss  0.868028, Average Loss  0.871296, Time  0.236612
2021-09-22 09:59:49.263497 : Epoch  4, Batch   1530, Loss  0.872344, Average Loss  0.871306, Time  0.237001
2021-09-22 09:59:51.912092 : Epoch  4, Batch   1531, Loss  0.871274, Average Loss  0.871254, Time  0.237059
2021-09-22 09:59:54.546977 : Epoch  4, Batch   1532, Loss  0.864408, Average Loss  0.871255, Time  0.236590
2021-09-22 10:04:03.681739 : CheckPoint: Validation Loss  0.00029743, Best Loss  0.00029452
2021-09-22 10:04:06.341784 : Epoch  4, Batch   1533, Loss  0.856812, Average Loss  0.871191, Time  0.237283
2021-09-22 10:04:08.989950 : Epoch  4, Batch   1534, Loss  0.874514, Average Loss  0.871265, Time  0.236481
2021-09-22 10:04:11.646684 : Epoch  4, Batch   1535, Loss  0.877705, Average Loss  0.871316, Time  0.236804
2021-09-22 10:04:14.303409 : Epoch  4, Batch   1536, Loss  0.858869, Average Loss  0.871312, Time  0.237503
2021-09-22 10:04:16.958992 : Epoch  4, Batch   1537, Loss  0.882766, Average Loss  0.871426, Time  0.235891
2021-09-22 10:04:19.614504 : Epoch  4, Batch   1538, Loss  0.859271, Average Loss  0.871316, Time  0.237436
2021-09-22 10:04:22.259994 : Epoch  4, Batch   1539, Loss  0.882142, Average Loss  0.871375, Time  0.236640
2021-09-22 10:04:24.901458 : Epoch  4, Batch   1540, Loss  0.854351, Average Loss  0.871305, Time  0.236254
2021-09-22 10:04:27.556877 : Epoch  4, Batch   1541, Loss  0.872513, Average Loss  0.871239, Time  0.236366
2021-09-22 10:04:30.211115 : Epoch  4, Batch   1542, Loss  0.865677, Average Loss  0.871246, Time  0.237979
2021-09-22 10:04:32.867950 : Epoch  4, Batch   1543, Loss  0.896174, Average Loss  0.871431, Time  0.236395
2021-09-22 10:04:35.510932 : Epoch  4, Batch   1544, Loss  0.874840, Average Loss  0.871486, Time  0.236603
2021-09-22 10:04:38.162060 : Epoch  4, Batch   1545, Loss  0.881343, Average Loss  0.871587, Time  0.236411
2021-09-22 10:04:40.825024 : Epoch  4, Batch   1546, Loss  0.870082, Average Loss  0.871558, Time  0.237204
2021-09-22 10:04:43.472975 : Epoch  4, Batch   1547, Loss  0.877187, Average Loss  0.871586, Time  0.236479
2021-09-22 10:04:46.115433 : Epoch  4, Batch   1548, Loss  0.896725, Average Loss  0.871763, Time  0.236589
2021-09-22 10:04:48.761349 : Epoch  4, Batch   1549, Loss  0.870523, Average Loss  0.871781, Time  0.236711
2021-09-22 10:04:51.407721 : Epoch  4, Batch   1550, Loss  0.865894, Average Loss  0.871725, Time  0.236350
2021-09-22 10:04:54.055514 : Epoch  4, Batch   1551, Loss  0.876348, Average Loss  0.871746, Time  0.235846
2021-09-22 10:04:56.698053 : Epoch  4, Batch   1552, Loss  0.862074, Average Loss  0.871653, Time  0.236462
2021-09-22 10:04:59.338816 : Epoch  4, Batch   1553, Loss  0.872343, Average Loss  0.871799, Time  0.235841
2021-09-22 10:05:01.979129 : Epoch  4, Batch   1554, Loss  0.848063, Average Loss  0.871608, Time  0.237201
2021-09-22 10:05:04.614261 : Epoch  4, Batch   1555, Loss  0.861865, Average Loss  0.871555, Time  0.235767
2021-09-22 10:05:07.261632 : Epoch  4, Batch   1556, Loss  0.872530, Average Loss  0.871587, Time  0.236288
2021-09-22 10:05:09.906854 : Epoch  4, Batch   1557, Loss  0.872471, Average Loss  0.871631, Time  0.236359
2021-09-22 10:05:12.571389 : Epoch  4, Batch   1558, Loss  0.873837, Average Loss  0.871657, Time  0.236923
2021-09-22 10:05:15.225302 : Epoch  4, Batch   1559, Loss  0.851159, Average Loss  0.871577, Time  0.237431
2021-09-22 10:05:17.870442 : Epoch  4, Batch   1560, Loss  0.862479, Average Loss  0.871542, Time  0.236465
2021-09-22 10:05:20.518470 : Epoch  4, Batch   1561, Loss  0.876137, Average Loss  0.871532, Time  0.237545
2021-09-22 10:05:23.171844 : Epoch  4, Batch   1562, Loss  0.870278, Average Loss  0.871490, Time  0.236699
2021-09-22 10:05:25.822159 : Epoch  4, Batch   1563, Loss  0.862530, Average Loss  0.871557, Time  0.236277
2021-09-22 10:05:28.473397 : Epoch  4, Batch   1564, Loss  0.862116, Average Loss  0.871509, Time  0.236418
2021-09-22 10:05:31.119195 : Epoch  4, Batch   1565, Loss  0.857248, Average Loss  0.871453, Time  0.236506
2021-09-22 10:05:33.769434 : Epoch  4, Batch   1566, Loss  0.875741, Average Loss  0.871592, Time  0.236123
2021-09-22 10:05:36.406882 : Epoch  4, Batch   1567, Loss  0.850657, Average Loss  0.871488, Time  0.236610
2021-09-22 10:05:39.048236 : Epoch  4, Batch   1568, Loss  0.880112, Average Loss  0.871567, Time  0.237038
2021-09-22 10:05:41.695518 : Epoch  4, Batch   1569, Loss  0.869999, Average Loss  0.871471, Time  0.235822
2021-09-22 10:05:44.343785 : Epoch  4, Batch   1570, Loss  0.881910, Average Loss  0.871458, Time  0.236444
2021-09-22 10:05:47.029248 : Epoch  4, Batch   1571, Loss  0.860412, Average Loss  0.871430, Time  0.235973
2021-09-22 10:05:49.675919 : Epoch  4, Batch   1572, Loss  0.878644, Average Loss  0.871434, Time  0.237108
2021-09-22 10:05:52.334822 : Epoch  4, Batch   1573, Loss  0.877487, Average Loss  0.871483, Time  0.239108
2021-09-22 10:05:54.996179 : Epoch  4, Batch   1574, Loss  0.864252, Average Loss  0.871389, Time  0.237022
2021-09-22 10:05:57.636657 : Epoch  4, Batch   1575, Loss  0.856626, Average Loss  0.871288, Time  0.235844
2021-09-22 10:06:00.272415 : Epoch  4, Batch   1576, Loss  0.871931, Average Loss  0.871198, Time  0.235804
2021-09-22 10:06:02.926166 : Epoch  4, Batch   1577, Loss  0.892513, Average Loss  0.871170, Time  0.236255
2021-09-22 10:06:05.585128 : Epoch  4, Batch   1578, Loss  0.878804, Average Loss  0.871249, Time  0.237177
2021-09-22 10:06:08.238749 : Epoch  4, Batch   1579, Loss  0.882126, Average Loss  0.871328, Time  0.236196
2021-09-22 10:06:10.885149 : Epoch  4, Batch   1580, Loss  0.871629, Average Loss  0.871433, Time  0.236318
2021-09-22 10:06:13.533926 : Epoch  4, Batch   1581, Loss  0.867446, Average Loss  0.871539, Time  0.237525
2021-09-22 10:06:16.177856 : Epoch  4, Batch   1582, Loss  0.882919, Average Loss  0.871610, Time  0.236965
2021-09-22 10:06:18.833077 : Epoch  4, Batch   1583, Loss  0.853545, Average Loss  0.871606, Time  0.236807
2021-09-22 10:06:21.485599 : Epoch  4, Batch   1584, Loss  0.876188, Average Loss  0.871583, Time  0.236376
2021-09-22 10:06:24.135846 : Epoch  4, Batch   1585, Loss  0.879569, Average Loss  0.871650, Time  0.236630
2021-09-22 10:06:26.781997 : Epoch  4, Batch   1586, Loss  0.872249, Average Loss  0.871657, Time  0.236564
2021-09-22 10:06:29.425093 : Epoch  4, Batch   1587, Loss  0.871884, Average Loss  0.871690, Time  0.236032
2021-09-22 10:06:32.075826 : Epoch  4, Batch   1588, Loss  0.851921, Average Loss  0.871613, Time  0.236511
2021-09-22 10:06:34.731243 : Epoch  4, Batch   1589, Loss  0.865668, Average Loss  0.871515, Time  0.236657
2021-09-22 10:06:37.380656 : Epoch  4, Batch   1590, Loss  0.875022, Average Loss  0.871516, Time  0.236418
2021-09-22 10:06:40.023857 : Epoch  4, Batch   1591, Loss  0.862866, Average Loss  0.871528, Time  0.236951
2021-09-22 10:06:42.662054 : Epoch  4, Batch   1592, Loss  0.859144, Average Loss  0.871412, Time  0.237231
2021-09-22 10:06:45.308082 : Epoch  4, Batch   1593, Loss  0.858423, Average Loss  0.871403, Time  0.236134
2021-09-22 10:06:47.971920 : Epoch  4, Batch   1594, Loss  0.892535, Average Loss  0.871574, Time  0.236832
2021-09-22 10:06:50.644389 : Epoch  4, Batch   1595, Loss  0.860702, Average Loss  0.871453, Time  0.235758
2021-09-22 10:06:53.296013 : Epoch  4, Batch   1596, Loss  0.857388, Average Loss  0.871366, Time  0.235959
2021-09-22 10:06:55.947538 : Epoch  4, Batch   1597, Loss  0.880497, Average Loss  0.871356, Time  0.236533
2021-09-22 10:06:58.599806 : Epoch  4, Batch   1598, Loss  0.854911, Average Loss  0.871197, Time  0.237139
2021-09-22 10:07:01.267970 : Epoch  4, Batch   1599, Loss  0.876441, Average Loss  0.871230, Time  0.236483
2021-09-22 10:07:03.929074 : Epoch  4, Batch   1600, Loss  0.860642, Average Loss  0.871190, Time  0.237217
2021-09-22 10:07:06.592591 : Epoch  4, Batch   1601, Loss  0.866551, Average Loss  0.871175, Time  0.236620
2021-09-22 10:07:09.252426 : Epoch  4, Batch   1602, Loss  0.863714, Average Loss  0.871130, Time  0.236599
2021-09-22 10:07:11.955934 : Epoch  4, Batch   1603, Loss  0.876874, Average Loss  0.871177, Time  0.236757
2021-09-22 10:07:14.609838 : Epoch  4, Batch   1604, Loss  0.897854, Average Loss  0.871372, Time  0.237655
2021-09-22 10:07:17.255094 : Epoch  4, Batch   1605, Loss  0.854409, Average Loss  0.871301, Time  0.235945
2021-09-22 10:07:19.928054 : Epoch  4, Batch   1606, Loss  0.873444, Average Loss  0.871311, Time  0.237844
2021-09-22 10:07:22.590943 : Epoch  4, Batch   1607, Loss  0.871595, Average Loss  0.871365, Time  0.237426
2021-09-22 10:07:25.251957 : Epoch  4, Batch   1608, Loss  0.865040, Average Loss  0.871463, Time  0.236352
2021-09-22 10:07:27.919077 : Epoch  4, Batch   1609, Loss  0.880611, Average Loss  0.871506, Time  0.236673
2021-09-22 10:07:30.571181 : Epoch  4, Batch   1610, Loss  0.875982, Average Loss  0.871581, Time  0.236170
2021-09-22 10:07:33.208056 : Epoch  4, Batch   1611, Loss  0.874882, Average Loss  0.871627, Time  0.236128
2021-09-22 10:07:35.888348 : Epoch  4, Batch   1612, Loss  0.876188, Average Loss  0.871568, Time  0.237259
2021-09-22 10:07:38.682437 : Epoch  4, Batch   1613, Loss  0.862278, Average Loss  0.871485, Time  0.236866
2021-09-22 10:07:41.337181 : Epoch  4, Batch   1614, Loss  0.857997, Average Loss  0.871386, Time  0.236703
2021-09-22 10:07:44.006812 : Epoch  4, Batch   1615, Loss  0.858107, Average Loss  0.871417, Time  0.235955
2021-09-22 10:07:46.672411 : Epoch  4, Batch   1616, Loss  0.868753, Average Loss  0.871378, Time  0.236457
2021-09-22 10:07:49.332626 : Epoch  4, Batch   1617, Loss  0.864395, Average Loss  0.871340, Time  0.236089
2021-09-22 10:07:51.975418 : Epoch  4, Batch   1618, Loss  0.852681, Average Loss  0.871152, Time  0.236554
2021-09-22 10:07:54.629908 : Epoch  4, Batch   1619, Loss  0.880134, Average Loss  0.871225, Time  0.236646
2021-09-22 10:07:57.313897 : Epoch  4, Batch   1620, Loss  0.883956, Average Loss  0.871264, Time  0.236659
2021-09-22 10:07:59.966874 : Epoch  4, Batch   1621, Loss  0.865797, Average Loss  0.871224, Time  0.236376
2021-09-22 10:08:02.622986 : Epoch  4, Batch   1622, Loss  0.865998, Average Loss  0.871187, Time  0.236639
2021-09-22 10:08:05.260488 : Epoch  4, Batch   1623, Loss  0.876036, Average Loss  0.871164, Time  0.236086
2021-09-22 10:08:07.917766 : Epoch  4, Batch   1624, Loss  0.863545, Average Loss  0.871064, Time  0.236167
2021-09-22 10:08:10.580416 : Epoch  4, Batch   1625, Loss  0.876719, Average Loss  0.871082, Time  0.236091
2021-09-22 10:08:13.246621 : Epoch  4, Batch   1626, Loss  0.884196, Average Loss  0.871174, Time  0.236233
2021-09-22 10:08:15.895394 : Epoch  4, Batch   1627, Loss  0.875290, Average Loss  0.871155, Time  0.239802
2021-09-22 10:08:18.593417 : Epoch  4, Batch   1628, Loss  0.873356, Average Loss  0.871128, Time  0.236215
2021-09-22 10:08:21.251508 : Epoch  4, Batch   1629, Loss  0.860457, Average Loss  0.871104, Time  0.237578
2021-09-22 10:08:23.895120 : Epoch  4, Batch   1630, Loss  0.867072, Average Loss  0.871066, Time  0.236963
2021-09-22 10:08:26.549571 : Epoch  4, Batch   1631, Loss  0.873191, Average Loss  0.871197, Time  0.236395
2021-09-22 10:08:29.216888 : Epoch  4, Batch   1632, Loss  0.845142, Average Loss  0.871014, Time  0.237945
2021-09-22 10:12:38.817768 : CheckPoint: Validation Loss  0.00030773, Best Loss  0.00029452
2021-09-22 10:12:41.530054 : Epoch  4, Batch   1633, Loss  0.854522, Average Loss  0.870919, Time  0.236829
2021-09-22 10:12:44.173877 : Epoch  4, Batch   1634, Loss  0.867125, Average Loss  0.870864, Time  0.236330
2021-09-22 10:12:46.827982 : Epoch  4, Batch   1635, Loss  0.873955, Average Loss  0.870853, Time  0.236256
2021-09-22 10:12:49.478076 : Epoch  4, Batch   1636, Loss  0.869455, Average Loss  0.870965, Time  0.236436
2021-09-22 10:12:52.116991 : Epoch  4, Batch   1637, Loss  0.849258, Average Loss  0.870886, Time  0.236251
2021-09-22 10:12:54.756300 : Epoch  4, Batch   1638, Loss  0.903612, Average Loss  0.871044, Time  0.236879
2021-09-22 10:12:57.395957 : Epoch  4, Batch   1639, Loss  0.891132, Average Loss  0.871160, Time  0.236459
2021-09-22 10:13:00.039360 : Epoch  4, Batch   1640, Loss  0.868850, Average Loss  0.871138, Time  0.236882
2021-09-22 10:13:02.692408 : Epoch  4, Batch   1641, Loss  0.855485, Average Loss  0.871165, Time  0.237279
2021-09-22 10:13:05.339981 : Epoch  4, Batch   1642, Loss  0.858737, Average Loss  0.871043, Time  0.236970
2021-09-22 10:13:07.991322 : Epoch  4, Batch   1643, Loss  0.861633, Average Loss  0.870921, Time  0.237461
2021-09-22 10:13:10.627021 : Epoch  4, Batch   1644, Loss  0.875689, Average Loss  0.871053, Time  0.236953
2021-09-22 10:13:13.267386 : Epoch  4, Batch   1645, Loss  0.852639, Average Loss  0.871004, Time  0.236395
2021-09-22 10:13:15.921936 : Epoch  4, Batch   1646, Loss  0.876355, Average Loss  0.871099, Time  0.236635
2021-09-22 10:13:18.570609 : Epoch  4, Batch   1647, Loss  0.887039, Average Loss  0.871104, Time  0.236355
2021-09-22 10:13:21.220858 : Epoch  4, Batch   1648, Loss  0.861825, Average Loss  0.871075, Time  0.236739
2021-09-22 10:13:23.871405 : Epoch  4, Batch   1649, Loss  0.852478, Average Loss  0.870962, Time  0.236026
2021-09-22 10:13:26.521431 : Epoch  4, Batch   1650, Loss  0.873751, Average Loss  0.870973, Time  0.235597
2021-09-22 10:13:29.163837 : Epoch  4, Batch   1651, Loss  0.880383, Average Loss  0.870966, Time  0.236478
2021-09-22 10:13:31.795428 : Epoch  4, Batch   1652, Loss  0.884724, Average Loss  0.871024, Time  0.236025
2021-09-22 10:13:34.450902 : Epoch  4, Batch   1653, Loss  0.852909, Average Loss  0.870855, Time  0.236485
2021-09-22 10:13:37.085414 : Epoch  4, Batch   1654, Loss  0.880699, Average Loss  0.870970, Time  0.236718
2021-09-22 10:13:39.724353 : Epoch  4, Batch   1655, Loss  0.859462, Average Loss  0.870899, Time  0.236129
2021-09-22 10:13:42.381402 : Epoch  4, Batch   1656, Loss  0.849130, Average Loss  0.870851, Time  0.235848
2021-09-22 10:13:45.019287 : Epoch  4, Batch   1657, Loss  0.872407, Average Loss  0.870787, Time  0.235632
2021-09-22 10:13:47.647869 : Epoch  4, Batch   1658, Loss  0.871481, Average Loss  0.870806, Time  0.237102
2021-09-22 10:13:50.303286 : Epoch  4, Batch   1659, Loss  0.877436, Average Loss  0.870716, Time  0.236992
2021-09-22 10:13:52.971851 : Epoch  4, Batch   1660, Loss  0.871391, Average Loss  0.870793, Time  0.236677
2021-09-22 10:13:55.619212 : Epoch  4, Batch   1661, Loss  0.856485, Average Loss  0.870697, Time  0.237531
2021-09-22 10:13:58.267397 : Epoch  4, Batch   1662, Loss  0.878321, Average Loss  0.870788, Time  0.236401
2021-09-22 10:14:00.906450 : Epoch  4, Batch   1663, Loss  0.887543, Average Loss  0.870945, Time  0.236766
2021-09-22 10:14:03.559347 : Epoch  4, Batch   1664, Loss  0.866728, Average Loss  0.870987, Time  0.237913
2021-09-22 10:14:06.201837 : Epoch  4, Batch   1665, Loss  0.860196, Average Loss  0.870914, Time  0.235826
2021-09-22 10:14:08.842398 : Epoch  4, Batch   1666, Loss  0.864713, Average Loss  0.870949, Time  0.235633
2021-09-22 10:14:11.480983 : Epoch  4, Batch   1667, Loss  0.862946, Average Loss  0.870891, Time  0.236051
2021-09-22 10:14:14.130015 : Epoch  4, Batch   1668, Loss  0.882586, Average Loss  0.870981, Time  0.236540
2021-09-22 10:14:16.776036 : Epoch  4, Batch   1669, Loss  0.876334, Average Loss  0.871071, Time  0.235777
2021-09-22 10:14:19.428955 : Epoch  4, Batch   1670, Loss  0.872691, Average Loss  0.871032, Time  0.236768
2021-09-22 10:14:22.067078 : Epoch  4, Batch   1671, Loss  0.874970, Average Loss  0.871043, Time  0.235875
2021-09-22 10:14:24.721407 : Epoch  4, Batch   1672, Loss  0.859645, Average Loss  0.871003, Time  0.235967
2021-09-22 10:14:27.362402 : Epoch  4, Batch   1673, Loss  0.867344, Average Loss  0.870905, Time  0.235310
2021-09-22 10:14:30.031645 : Epoch  4, Batch   1674, Loss  0.865416, Average Loss  0.870892, Time  0.236484
2021-09-22 10:14:32.677843 : Epoch  4, Batch   1675, Loss  0.878631, Average Loss  0.870903, Time  0.236307
2021-09-22 10:14:35.327903 : Epoch  4, Batch   1676, Loss  0.848623, Average Loss  0.870834, Time  0.237657
2021-09-22 10:14:37.967261 : Epoch  4, Batch   1677, Loss  0.861203, Average Loss  0.870684, Time  0.235690
2021-09-22 10:14:40.599984 : Epoch  4, Batch   1678, Loss  0.868161, Average Loss  0.870725, Time  0.236055
2021-09-22 10:14:43.320890 : Epoch  4, Batch   1679, Loss  0.881285, Average Loss  0.870712, Time  0.237776
2021-09-22 10:14:45.984023 : Epoch  4, Batch   1680, Loss  0.895174, Average Loss  0.870722, Time  0.237659
2021-09-22 10:14:48.657428 : Epoch  4, Batch   1681, Loss  0.873757, Average Loss  0.870722, Time  0.237786
2021-09-22 10:14:51.314573 : Epoch  4, Batch   1682, Loss  0.876850, Average Loss  0.870708, Time  0.236783
2021-09-22 10:14:53.973480 : Epoch  4, Batch   1683, Loss  0.863281, Average Loss  0.870658, Time  0.237168
2021-09-22 10:14:56.618997 : Epoch  4, Batch   1684, Loss  0.858757, Average Loss  0.870568, Time  0.236778
2021-09-22 10:14:59.273388 : Epoch  4, Batch   1685, Loss  0.871434, Average Loss  0.870582, Time  0.237014
2021-09-22 10:15:01.924048 : Epoch  4, Batch   1686, Loss  0.861337, Average Loss  0.870531, Time  0.237838
2021-09-22 10:15:04.578866 : Epoch  4, Batch   1687, Loss  0.875162, Average Loss  0.870581, Time  0.236230
2021-09-22 10:15:07.231875 : Epoch  4, Batch   1688, Loss  0.863645, Average Loss  0.870457, Time  0.236727
2021-09-22 10:15:09.882761 : Epoch  4, Batch   1689, Loss  0.885621, Average Loss  0.870378, Time  0.236281
2021-09-22 10:15:12.531646 : Epoch  4, Batch   1690, Loss  0.889168, Average Loss  0.870448, Time  0.237026
2021-09-22 10:15:15.182948 : Epoch  4, Batch   1691, Loss  0.866521, Average Loss  0.870411, Time  0.236303
2021-09-22 10:15:17.830939 : Epoch  4, Batch   1692, Loss  0.879399, Average Loss  0.870475, Time  0.236785
2021-09-22 10:15:20.463176 : Epoch  4, Batch   1693, Loss  0.868998, Average Loss  0.870478, Time  0.236718
2021-09-22 10:15:23.115640 : Epoch  4, Batch   1694, Loss  0.876226, Average Loss  0.870599, Time  0.236627
2021-09-22 10:15:25.765831 : Epoch  4, Batch   1695, Loss  0.867148, Average Loss  0.870636, Time  0.236880
2021-09-22 10:15:28.407000 : Epoch  4, Batch   1696, Loss  0.878819, Average Loss  0.870601, Time  0.236614
2021-09-22 10:15:31.058043 : Epoch  4, Batch   1697, Loss  0.849970, Average Loss  0.870490, Time  0.235934
2021-09-22 10:15:33.712913 : Epoch  4, Batch   1698, Loss  0.879173, Average Loss  0.870571, Time  0.236362
2021-09-22 10:15:36.370414 : Epoch  4, Batch   1699, Loss  0.882950, Average Loss  0.870694, Time  0.236019
2021-09-22 10:15:39.013828 : Epoch  4, Batch   1700, Loss  0.869122, Average Loss  0.870677, Time  0.236616
2021-09-22 10:15:41.669048 : Epoch  4, Batch   1701, Loss  0.862221, Average Loss  0.870598, Time  0.236509
2021-09-22 10:15:44.320233 : Epoch  4, Batch   1702, Loss  0.878979, Average Loss  0.870672, Time  0.236812
2021-09-22 10:15:46.968910 : Epoch  4, Batch   1703, Loss  0.866557, Average Loss  0.870526, Time  0.238144
2021-09-22 10:15:49.621071 : Epoch  4, Batch   1704, Loss  0.876529, Average Loss  0.870461, Time  0.236279
2021-09-22 10:15:52.265989 : Epoch  4, Batch   1705, Loss  0.871873, Average Loss  0.870462, Time  0.236817
2021-09-22 10:15:54.920944 : Epoch  4, Batch   1706, Loss  0.874163, Average Loss  0.870472, Time  0.236877
2021-09-22 10:15:57.562143 : Epoch  4, Batch   1707, Loss  0.873272, Average Loss  0.870567, Time  0.235785
2021-09-22 10:16:00.201878 : Epoch  4, Batch   1708, Loss  0.857457, Average Loss  0.870441, Time  0.236818
2021-09-22 10:16:02.864732 : Epoch  4, Batch   1709, Loss  0.881496, Average Loss  0.870406, Time  0.236727
2021-09-22 10:16:05.520437 : Epoch  4, Batch   1710, Loss  0.879839, Average Loss  0.870395, Time  0.236632
2021-09-22 10:16:08.177916 : Epoch  4, Batch   1711, Loss  0.895983, Average Loss  0.870545, Time  0.236269
2021-09-22 10:16:10.823715 : Epoch  4, Batch   1712, Loss  0.870131, Average Loss  0.870539, Time  0.236378
2021-09-22 10:16:13.480897 : Epoch  4, Batch   1713, Loss  0.875091, Average Loss  0.870558, Time  0.235945
2021-09-22 10:16:16.128396 : Epoch  4, Batch   1714, Loss  0.877991, Average Loss  0.870533, Time  0.235625
2021-09-22 10:16:18.766456 : Epoch  4, Batch   1715, Loss  0.875733, Average Loss  0.870487, Time  0.235691
2021-09-22 10:16:21.462382 : Epoch  4, Batch   1716, Loss  0.875498, Average Loss  0.870507, Time  0.236619
2021-09-22 10:16:24.088409 : Epoch  4, Batch   1717, Loss  0.882267, Average Loss  0.870478, Time  0.236542
2021-09-22 10:16:26.730432 : Epoch  4, Batch   1718, Loss  0.854457, Average Loss  0.870434, Time  0.236742
2021-09-22 10:16:29.365842 : Epoch  4, Batch   1719, Loss  0.864297, Average Loss  0.870502, Time  0.236199
2021-09-22 10:16:32.012053 : Epoch  4, Batch   1720, Loss  0.864480, Average Loss  0.870356, Time  0.236609
2021-09-22 10:16:34.644995 : Epoch  4, Batch   1721, Loss  0.870942, Average Loss  0.870358, Time  0.236526
2021-09-22 10:16:37.295881 : Epoch  4, Batch   1722, Loss  0.832700, Average Loss  0.870158, Time  0.235939
2021-09-22 10:16:39.938590 : Epoch  4, Batch   1723, Loss  0.864514, Average Loss  0.870054, Time  0.236207
2021-09-22 10:16:42.584859 : Epoch  4, Batch   1724, Loss  0.868196, Average Loss  0.870068, Time  0.237528
2021-09-22 10:16:45.231999 : Epoch  4, Batch   1725, Loss  0.886838, Average Loss  0.870151, Time  0.236736
2021-09-22 10:16:47.885829 : Epoch  4, Batch   1726, Loss  0.845904, Average Loss  0.870094, Time  0.238019
2021-09-22 10:16:50.525405 : Epoch  4, Batch   1727, Loss  0.870757, Average Loss  0.870177, Time  0.236178
2021-09-22 10:16:53.181953 : Epoch  4, Batch   1728, Loss  0.873672, Average Loss  0.870058, Time  0.237437
2021-09-22 10:16:55.821942 : Epoch  4, Batch   1729, Loss  0.867974, Average Loss  0.870058, Time  0.237104
2021-09-22 10:16:58.469064 : Epoch  4, Batch   1730, Loss  0.879386, Average Loss  0.870093, Time  0.237912
2021-09-22 10:17:01.107983 : Epoch  4, Batch   1731, Loss  0.840517, Average Loss  0.869940, Time  0.236591
2021-09-22 10:17:03.767435 : Epoch  4, Batch   1732, Loss  0.862114, Average Loss  0.869928, Time  0.236719
2021-09-22 10:21:11.919766 : CheckPoint: Validation Loss  0.00030727, Best Loss  0.00029452
2021-09-22 10:21:14.598310 : Epoch  4, Batch   1733, Loss  0.883163, Average Loss  0.870060, Time  0.237407
2021-09-22 10:21:17.243692 : Epoch  4, Batch   1734, Loss  0.862941, Average Loss  0.870002, Time  0.236142
2021-09-22 10:21:19.894949 : Epoch  4, Batch   1735, Loss  0.877334, Average Loss  0.870000, Time  0.235686
2021-09-22 10:21:22.548942 : Epoch  4, Batch   1736, Loss  0.881856, Average Loss  0.870115, Time  0.236661
2021-09-22 10:21:25.186396 : Epoch  4, Batch   1737, Loss  0.876103, Average Loss  0.870082, Time  0.235649
2021-09-22 10:21:27.825818 : Epoch  4, Batch   1738, Loss  0.872074, Average Loss  0.870146, Time  0.237605
2021-09-22 10:21:30.559852 : Epoch  4, Batch   1739, Loss  0.870089, Average Loss  0.870086, Time  0.238224
2021-09-22 10:21:33.203163 : Epoch  4, Batch   1740, Loss  0.883697, Average Loss  0.870232, Time  0.236178
2021-09-22 10:21:35.848456 : Epoch  4, Batch   1741, Loss  0.874381, Average Loss  0.870242, Time  0.236575
2021-09-22 10:21:38.500998 : Epoch  4, Batch   1742, Loss  0.885869, Average Loss  0.870343, Time  0.236951
2021-09-22 10:21:41.153556 : Epoch  4, Batch   1743, Loss  0.874771, Average Loss  0.870236, Time  0.236641
2021-09-22 10:21:43.788422 : Epoch  4, Batch   1744, Loss  0.874397, Average Loss  0.870233, Time  0.237057
2021-09-22 10:21:46.443550 : Epoch  4, Batch   1745, Loss  0.844515, Average Loss  0.870049, Time  0.236072
2021-09-22 10:21:49.082215 : Epoch  4, Batch   1746, Loss  0.867171, Average Loss  0.870035, Time  0.236321
2021-09-22 10:21:51.718973 : Epoch  4, Batch   1747, Loss  0.868024, Average Loss  0.869989, Time  0.236229
2021-09-22 10:21:54.365409 : Epoch  4, Batch   1748, Loss  0.866407, Average Loss  0.869837, Time  0.236159
2021-09-22 10:21:57.010409 : Epoch  4, Batch   1749, Loss  0.873240, Average Loss  0.869851, Time  0.235608
2021-09-22 10:21:59.639853 : Epoch  4, Batch   1750, Loss  0.853806, Average Loss  0.869790, Time  0.236145
2021-09-22 10:22:02.286977 : Epoch  4, Batch   1751, Loss  0.855588, Average Loss  0.869687, Time  0.237112
2021-09-22 10:22:04.926960 : Epoch  4, Batch   1752, Loss  0.878278, Average Loss  0.869768, Time  0.237732
2021-09-22 10:22:07.562348 : Epoch  4, Batch   1753, Loss  0.883740, Average Loss  0.869825, Time  0.236288
2021-09-22 10:22:10.211874 : Epoch  4, Batch   1754, Loss  0.864360, Average Loss  0.869906, Time  0.236565
2021-09-22 10:22:12.854417 : Epoch  4, Batch   1755, Loss  0.876362, Average Loss  0.869979, Time  0.236438
2021-09-22 10:22:15.498431 : Epoch  4, Batch   1756, Loss  0.867857, Average Loss  0.869955, Time  0.236456
2021-09-22 10:22:18.143673 : Epoch  4, Batch   1757, Loss  0.874945, Average Loss  0.869968, Time  0.236616
2021-09-22 10:22:20.784810 : Epoch  4, Batch   1758, Loss  0.868334, Average Loss  0.869940, Time  0.236462
2021-09-22 10:22:23.452265 : Epoch  4, Batch   1759, Loss  0.898931, Average Loss  0.870179, Time  0.235890
2021-09-22 10:22:26.082309 : Epoch  4, Batch   1760, Loss  0.880151, Average Loss  0.870267, Time  0.236777
2021-09-22 10:22:28.734960 : Epoch  4, Batch   1761, Loss  0.865052, Average Loss  0.870212, Time  0.235881
2021-09-22 10:22:31.389832 : Epoch  4, Batch   1762, Loss  0.875396, Average Loss  0.870237, Time  0.238451
2021-09-22 10:22:34.028095 : Epoch  4, Batch   1763, Loss  0.880032, Average Loss  0.870325, Time  0.235963
2021-09-22 10:22:36.681955 : Epoch  4, Batch   1764, Loss  0.879864, Average Loss  0.870414, Time  0.238294
2021-09-22 10:22:39.327069 : Epoch  4, Batch   1765, Loss  0.879879, Average Loss  0.870527, Time  0.236147
2021-09-22 10:22:41.971931 : Epoch  4, Batch   1766, Loss  0.867632, Average Loss  0.870486, Time  0.236905
2021-09-22 10:22:44.617934 : Epoch  4, Batch   1767, Loss  0.865035, Average Loss  0.870558, Time  0.237555
2021-09-22 10:22:47.282984 : Epoch  4, Batch   1768, Loss  0.875157, Average Loss  0.870533, Time  0.236720
2021-09-22 10:22:49.927403 : Epoch  4, Batch   1769, Loss  0.842968, Average Loss  0.870398, Time  0.236615
2021-09-22 10:22:52.585934 : Epoch  4, Batch   1770, Loss  0.883680, Average Loss  0.870407, Time  0.236118
2021-09-22 10:22:55.238378 : Epoch  4, Batch   1771, Loss  0.870951, Average Loss  0.870460, Time  0.236568
2021-09-22 10:22:57.890914 : Epoch  4, Batch   1772, Loss  0.883016, Average Loss  0.870482, Time  0.236540
2021-09-22 10:23:00.546506 : Epoch  4, Batch   1773, Loss  0.867654, Average Loss  0.870433, Time  0.235868
2021-09-22 10:23:03.192025 : Epoch  4, Batch   1774, Loss  0.862552, Average Loss  0.870424, Time  0.236092
2021-09-22 10:23:05.829630 : Epoch  4, Batch   1775, Loss  0.883328, Average Loss  0.870558, Time  0.236273
2021-09-22 10:23:08.485937 : Epoch  4, Batch   1776, Loss  0.864737, Average Loss  0.870522, Time  0.236387
2021-09-22 10:23:11.131964 : Epoch  4, Batch   1777, Loss  0.889012, Average Loss  0.870504, Time  0.235944
2021-09-22 10:23:13.776881 : Epoch  4, Batch   1778, Loss  0.880062, Average Loss  0.870510, Time  0.236437
2021-09-22 10:23:16.424869 : Epoch  4, Batch   1779, Loss  0.866666, Average Loss  0.870433, Time  0.236013
2021-09-22 10:23:19.064032 : Epoch  4, Batch   1780, Loss  0.877746, Average Loss  0.870464, Time  0.236965
2021-09-22 10:23:21.744922 : Epoch  4, Batch   1781, Loss  0.873400, Average Loss  0.870493, Time  0.236892
2021-09-22 10:23:24.388001 : Epoch  4, Batch   1782, Loss  0.850834, Average Loss  0.870333, Time  0.236910
2021-09-22 10:23:27.050851 : Epoch  4, Batch   1783, Loss  0.857496, Average Loss  0.870353, Time  0.236795
2021-09-22 10:23:29.699001 : Epoch  4, Batch   1784, Loss  0.868136, Average Loss  0.870312, Time  0.236825
2021-09-22 10:23:32.341663 : Epoch  4, Batch   1785, Loss  0.847050, Average Loss  0.870150, Time  0.237598
2021-09-22 10:23:35.003065 : Epoch  4, Batch   1786, Loss  0.858530, Average Loss  0.870081, Time  0.236742
2021-09-22 10:23:37.659267 : Epoch  4, Batch   1787, Loss  0.886754, Average Loss  0.870156, Time  0.238623
2021-09-22 10:23:40.290399 : Epoch  4, Batch   1788, Loss  0.868603, Average Loss  0.870239, Time  0.236714
2021-09-22 10:23:42.923790 : Epoch  4, Batch   1789, Loss  0.851830, Average Loss  0.870170, Time  0.236372
2021-09-22 10:23:45.552852 : Epoch  4, Batch   1790, Loss  0.862383, Average Loss  0.870107, Time  0.236288
2021-09-22 10:23:48.195885 : Epoch  4, Batch   1791, Loss  0.888340, Average Loss  0.870234, Time  0.236184
2021-09-22 10:23:50.839339 : Epoch  4, Batch   1792, Loss  0.864030, Average Loss  0.870258, Time  0.237238
2021-09-22 10:23:53.468857 : Epoch  4, Batch   1793, Loss  0.881542, Average Loss  0.870374, Time  0.236906
2021-09-22 10:23:56.104084 : Epoch  4, Batch   1794, Loss  0.862315, Average Loss  0.870223, Time  0.236924
2021-09-22 10:23:58.747142 : Epoch  4, Batch   1795, Loss  0.870277, Average Loss  0.870271, Time  0.236418
2021-09-22 10:24:01.380424 : Epoch  4, Batch   1796, Loss  0.861816, Average Loss  0.870293, Time  0.236756
2021-09-22 10:24:04.026093 : Epoch  4, Batch   1797, Loss  0.863259, Average Loss  0.870207, Time  0.235816
2021-09-22 10:24:06.678948 : Epoch  4, Batch   1798, Loss  0.905053, Average Loss  0.870457, Time  0.236559
2021-09-22 10:24:09.339972 : Epoch  4, Batch   1799, Loss  0.853785, Average Loss  0.870344, Time  0.236013
2021-09-22 10:24:11.980883 : Epoch  4, Batch   1800, Loss  0.856903, Average Loss  0.870326, Time  0.236493
2021-09-22 10:24:14.628820 : Epoch  4, Batch   1801, Loss  0.901027, Average Loss  0.870498, Time  0.236461
2021-09-22 10:24:17.265007 : Epoch  4, Batch   1802, Loss  0.875498, Average Loss  0.870557, Time  0.236330
2021-09-22 10:24:19.897863 : Epoch  4, Batch   1803, Loss  0.840978, Average Loss  0.870377, Time  0.236525
2021-09-22 10:24:22.541537 : Epoch  4, Batch   1804, Loss  0.857986, Average Loss  0.870178, Time  0.236362
2021-09-22 10:24:25.170951 : Epoch  4, Batch   1805, Loss  0.875606, Average Loss  0.870284, Time  0.236340
2021-09-22 10:24:27.804917 : Epoch  4, Batch   1806, Loss  0.856300, Average Loss  0.870198, Time  0.236120
2021-09-22 10:24:30.447037 : Epoch  4, Batch   1807, Loss  0.861926, Average Loss  0.870150, Time  0.238018
2021-09-22 10:24:33.077597 : Epoch  4, Batch   1808, Loss  0.863138, Average Loss  0.870140, Time  0.236424
2021-09-22 10:24:35.718614 : Epoch  4, Batch   1809, Loss  0.846935, Average Loss  0.869972, Time  0.236894
2021-09-22 10:24:38.353991 : Epoch  4, Batch   1810, Loss  0.863243, Average Loss  0.869908, Time  0.236718
2021-09-22 10:24:40.992105 : Epoch  4, Batch   1811, Loss  0.886442, Average Loss  0.869966, Time  0.236116
2021-09-22 10:24:43.647951 : Epoch  4, Batch   1812, Loss  0.868677, Average Loss  0.869929, Time  0.236622
2021-09-22 10:24:46.296412 : Epoch  4, Batch   1813, Loss  0.856508, Average Loss  0.869900, Time  0.236411
2021-09-22 10:24:48.938996 : Epoch  4, Batch   1814, Loss  0.866335, Average Loss  0.869941, Time  0.237303
2021-09-22 10:24:51.588590 : Epoch  4, Batch   1815, Loss  0.880862, Average Loss  0.870055, Time  0.236664
2021-09-22 10:24:54.220384 : Epoch  4, Batch   1816, Loss  0.873364, Average Loss  0.870078, Time  0.236885
2021-09-22 10:24:56.860385 : Epoch  4, Batch   1817, Loss  0.878274, Average Loss  0.870148, Time  0.236064
2021-09-22 10:24:59.497988 : Epoch  4, Batch   1818, Loss  0.848781, Average Loss  0.870128, Time  0.236450
2021-09-22 10:25:02.136146 : Epoch  4, Batch   1819, Loss  0.876515, Average Loss  0.870110, Time  0.236065
2021-09-22 10:25:04.773418 : Epoch  4, Batch   1820, Loss  0.846527, Average Loss  0.869923, Time  0.236386
2021-09-22 10:25:07.423120 : Epoch  4, Batch   1821, Loss  0.861227, Average Loss  0.869900, Time  0.237008
2021-09-22 10:25:10.080186 : Epoch  4, Batch   1822, Loss  0.861065, Average Loss  0.869875, Time  0.238091
2021-09-22 10:25:12.714938 : Epoch  4, Batch   1823, Loss  0.869072, Average Loss  0.869841, Time  0.237833
2021-09-22 10:25:15.369858 : Epoch  4, Batch   1824, Loss  0.868789, Average Loss  0.869867, Time  0.237069
2021-09-22 10:25:18.019254 : Epoch  4, Batch   1825, Loss  0.856847, Average Loss  0.869767, Time  0.236998
2021-09-22 10:25:20.650205 : Epoch  4, Batch   1826, Loss  0.868661, Average Loss  0.869690, Time  0.235862
2021-09-22 10:25:23.279476 : Epoch  4, Batch   1827, Loss  0.889037, Average Loss  0.869758, Time  0.236434
2021-09-22 10:25:25.921711 : Epoch  4, Batch   1828, Loss  0.862074, Average Loss  0.869702, Time  0.235939
2021-09-22 10:25:28.560090 : Epoch  4, Batch   1829, Loss  0.873017, Average Loss  0.869765, Time  0.235888
2021-09-22 10:25:31.199057 : Epoch  4, Batch   1830, Loss  0.856592, Average Loss  0.869712, Time  0.237822
2021-09-22 10:25:33.858580 : Epoch  4, Batch   1831, Loss  0.866355, Average Loss  0.869678, Time  0.236506
2021-09-22 10:25:36.506874 : Epoch  4, Batch   1832, Loss  0.863226, Average Loss  0.869769, Time  0.237089
2021-09-22 10:29:45.885740 : CheckPoint: Validation Loss  0.00030369, Best Loss  0.00029452
2021-09-22 10:29:48.538546 : Epoch  4, Batch   1833, Loss  0.847481, Average Loss  0.869734, Time  0.237875
2021-09-22 10:29:51.190733 : Epoch  4, Batch   1834, Loss  0.853553, Average Loss  0.869666, Time  0.236275
2021-09-22 10:29:53.844663 : Epoch  4, Batch   1835, Loss  0.868381, Average Loss  0.869638, Time  0.235511
2021-09-22 10:29:56.491408 : Epoch  4, Batch   1836, Loss  0.856684, Average Loss  0.869574, Time  0.237059
2021-09-22 10:29:59.129819 : Epoch  4, Batch   1837, Loss  0.847705, Average Loss  0.869566, Time  0.235988
2021-09-22 10:30:01.785385 : Epoch  4, Batch   1838, Loss  0.857837, Average Loss  0.869337, Time  0.237085
2021-09-22 10:30:04.438553 : Epoch  4, Batch   1839, Loss  0.861388, Average Loss  0.869189, Time  0.236644
2021-09-22 10:30:07.076159 : Epoch  4, Batch   1840, Loss  0.871514, Average Loss  0.869202, Time  0.236062
2021-09-22 10:30:09.730538 : Epoch  4, Batch   1841, Loss  0.874549, Average Loss  0.869297, Time  0.235768
2021-09-22 10:30:12.385344 : Epoch  4, Batch   1842, Loss  0.862773, Average Loss  0.869317, Time  0.237459
2021-09-22 10:30:15.041421 : Epoch  4, Batch   1843, Loss  0.866165, Average Loss  0.869340, Time  0.237869
2021-09-22 10:30:17.691390 : Epoch  4, Batch   1844, Loss  0.873591, Average Loss  0.869330, Time  0.236683
2021-09-22 10:30:20.346581 : Epoch  4, Batch   1845, Loss  0.883562, Average Loss  0.869484, Time  0.237607
2021-09-22 10:30:23.020423 : Epoch  4, Batch   1846, Loss  0.857051, Average Loss  0.869388, Time  0.236558
2021-09-22 10:30:25.671410 : Epoch  4, Batch   1847, Loss  0.885744, Average Loss  0.869381, Time  0.235913
2021-09-22 10:30:28.355823 : Epoch  4, Batch   1848, Loss  0.878234, Average Loss  0.869463, Time  0.237737
2021-09-22 10:30:31.006512 : Epoch  4, Batch   1849, Loss  0.859308, Average Loss  0.869497, Time  0.236375
2021-09-22 10:30:33.669922 : Epoch  4, Batch   1850, Loss  0.855712, Average Loss  0.869407, Time  0.236054
2021-09-22 10:30:36.311848 : Epoch  4, Batch   1851, Loss  0.870687, Average Loss  0.869359, Time  0.236597
2021-09-22 10:30:38.958406 : Epoch  4, Batch   1852, Loss  0.875480, Average Loss  0.869312, Time  0.236079
2021-09-22 10:30:41.606916 : Epoch  4, Batch   1853, Loss  0.878868, Average Loss  0.869442, Time  0.236221
2021-09-22 10:30:44.253846 : Epoch  4, Batch   1854, Loss  0.870782, Average Loss  0.869393, Time  0.236132
2021-09-22 10:30:46.933863 : Epoch  4, Batch   1855, Loss  0.866199, Average Loss  0.869426, Time  0.236261
2021-09-22 10:30:49.598902 : Epoch  4, Batch   1856, Loss  0.858733, Average Loss  0.869474, Time  0.235906
2021-09-22 10:30:49.632710 : Saving Model after 4-th Epoch.
2021-09-22 10:30:50.216612 : Epoch Finished.
2021-09-22 10:30:59.393282 : Batch Shuffled
2021-09-22 10:31:02.057817 : Epoch  5, Batch      1, Loss  0.889510, Average Loss  0.869560, Time  0.264210
2021-09-22 10:31:04.712877 : Epoch  5, Batch      2, Loss  0.892757, Average Loss  0.869666, Time  0.239784
2021-09-22 10:31:07.367220 : Epoch  5, Batch      3, Loss  0.882930, Average Loss  0.869694, Time  0.236741
2021-09-22 10:31:10.053018 : Epoch  5, Batch      4, Loss  0.867247, Average Loss  0.869673, Time  0.236562
2021-09-22 10:31:12.693821 : Epoch  5, Batch      5, Loss  0.851066, Average Loss  0.869646, Time  0.236295
2021-09-22 10:31:15.368974 : Epoch  5, Batch      6, Loss  0.864004, Average Loss  0.869574, Time  0.240536
2021-09-22 10:31:18.010805 : Epoch  5, Batch      7, Loss  0.865938, Average Loss  0.869466, Time  0.237298
2021-09-22 10:31:20.654216 : Epoch  5, Batch      8, Loss  0.870193, Average Loss  0.869484, Time  0.236371
2021-09-22 10:31:23.298097 : Epoch  5, Batch      9, Loss  0.856020, Average Loss  0.869463, Time  0.238121
2021-09-22 10:31:25.953829 : Epoch  5, Batch     10, Loss  0.874548, Average Loss  0.869512, Time  0.237844
2021-09-22 10:31:28.599630 : Epoch  5, Batch     11, Loss  0.864462, Average Loss  0.869520, Time  0.236528
2021-09-22 10:31:31.261961 : Epoch  5, Batch     12, Loss  0.874341, Average Loss  0.869478, Time  0.236488
2021-09-22 10:31:33.931121 : Epoch  5, Batch     13, Loss  0.873389, Average Loss  0.869464, Time  0.236440
2021-09-22 10:31:36.593873 : Epoch  5, Batch     14, Loss  0.863803, Average Loss  0.869419, Time  0.236621
2021-09-22 10:31:39.238890 : Epoch  5, Batch     15, Loss  0.865412, Average Loss  0.869371, Time  0.235714
2021-09-22 10:31:41.864221 : Epoch  5, Batch     16, Loss  0.870067, Average Loss  0.869423, Time  0.236302
2021-09-22 10:31:44.539762 : Epoch  5, Batch     17, Loss  0.889277, Average Loss  0.869533, Time  0.236725
2021-09-22 10:31:47.228932 : Epoch  5, Batch     18, Loss  0.831305, Average Loss  0.869363, Time  0.236577
2021-09-22 10:31:49.951692 : Epoch  5, Batch     19, Loss  0.864908, Average Loss  0.869294, Time  0.239086
2021-09-22 10:31:52.627947 : Epoch  5, Batch     20, Loss  0.855613, Average Loss  0.869329, Time  0.236947
2021-09-22 10:31:55.286100 : Epoch  5, Batch     21, Loss  0.876147, Average Loss  0.869404, Time  0.237839
2021-09-22 10:31:57.944190 : Epoch  5, Batch     22, Loss  0.869849, Average Loss  0.869412, Time  0.238629
2021-09-22 10:32:00.618404 : Epoch  5, Batch     23, Loss  0.846688, Average Loss  0.869239, Time  0.236036
2021-09-22 10:32:03.280468 : Epoch  5, Batch     24, Loss  0.871076, Average Loss  0.869119, Time  0.238739
2021-09-22 10:32:05.934793 : Epoch  5, Batch     25, Loss  0.872635, Average Loss  0.869113, Time  0.237021
2021-09-22 10:32:08.591120 : Epoch  5, Batch     26, Loss  0.884225, Average Loss  0.869150, Time  0.236897
2021-09-22 10:32:11.255811 : Epoch  5, Batch     27, Loss  0.880762, Average Loss  0.869237, Time  0.238757
2021-09-22 10:32:13.913037 : Epoch  5, Batch     28, Loss  0.870449, Average Loss  0.869296, Time  0.237064
2021-09-22 10:32:16.544873 : Epoch  5, Batch     29, Loss  0.859910, Average Loss  0.869238, Time  0.236054
2021-09-22 10:32:19.200387 : Epoch  5, Batch     30, Loss  0.858464, Average Loss  0.869224, Time  0.236257
2021-09-22 10:32:21.859928 : Epoch  5, Batch     31, Loss  0.853712, Average Loss  0.869116, Time  0.237945
2021-09-22 10:32:24.519609 : Epoch  5, Batch     32, Loss  0.868144, Average Loss  0.869139, Time  0.237484
2021-09-22 10:32:27.169032 : Epoch  5, Batch     33, Loss  0.862357, Average Loss  0.869023, Time  0.235909
2021-09-22 10:32:29.817859 : Epoch  5, Batch     34, Loss  0.865904, Average Loss  0.868906, Time  0.236073
2021-09-22 10:32:32.474109 : Epoch  5, Batch     35, Loss  0.846579, Average Loss  0.868807, Time  0.237051
2021-09-22 10:32:35.132219 : Epoch  5, Batch     36, Loss  0.889062, Average Loss  0.868855, Time  0.238127
2021-09-22 10:32:37.776066 : Epoch  5, Batch     37, Loss  0.879166, Average Loss  0.868906, Time  0.236556
2021-09-22 10:32:40.437241 : Epoch  5, Batch     38, Loss  0.855292, Average Loss  0.868801, Time  0.236507
2021-09-22 10:32:43.089158 : Epoch  5, Batch     39, Loss  0.865483, Average Loss  0.868793, Time  0.236199
2021-09-22 10:32:45.732855 : Epoch  5, Batch     40, Loss  0.872021, Average Loss  0.868759, Time  0.237362
2021-09-22 10:32:48.386136 : Epoch  5, Batch     41, Loss  0.875221, Average Loss  0.868885, Time  0.238082
2021-09-22 10:32:51.040196 : Epoch  5, Batch     42, Loss  0.868447, Average Loss  0.868831, Time  0.237774
2021-09-22 10:32:53.682438 : Epoch  5, Batch     43, Loss  0.865817, Average Loss  0.868746, Time  0.237233
2021-09-22 10:32:56.323815 : Epoch  5, Batch     44, Loss  0.873812, Average Loss  0.868769, Time  0.236233
2021-09-22 10:32:58.967634 : Epoch  5, Batch     45, Loss  0.885563, Average Loss  0.868886, Time  0.235725
2021-09-22 10:33:01.621387 : Epoch  5, Batch     46, Loss  0.868628, Average Loss  0.868834, Time  0.236728
2021-09-22 10:33:04.265264 : Epoch  5, Batch     47, Loss  0.880475, Average Loss  0.868904, Time  0.237578
2021-09-22 10:33:06.922922 : Epoch  5, Batch     48, Loss  0.850320, Average Loss  0.868773, Time  0.237633
2021-09-22 10:33:09.576577 : Epoch  5, Batch     49, Loss  0.849227, Average Loss  0.868659, Time  0.236481
2021-09-22 10:33:12.221989 : Epoch  5, Batch     50, Loss  0.853366, Average Loss  0.868555, Time  0.236492
2021-09-22 10:33:14.870127 : Epoch  5, Batch     51, Loss  0.875781, Average Loss  0.868568, Time  0.236365
2021-09-22 10:33:17.524024 : Epoch  5, Batch     52, Loss  0.879532, Average Loss  0.868678, Time  0.236913
2021-09-22 10:33:20.167778 : Epoch  5, Batch     53, Loss  0.867040, Average Loss  0.868606, Time  0.235929
2021-09-22 10:33:22.812987 : Epoch  5, Batch     54, Loss  0.869462, Average Loss  0.868554, Time  0.237921
2021-09-22 10:33:25.454912 : Epoch  5, Batch     55, Loss  0.875882, Average Loss  0.868454, Time  0.237400
2021-09-22 10:33:28.107066 : Epoch  5, Batch     56, Loss  0.869537, Average Loss  0.868451, Time  0.237935
2021-09-22 10:33:30.754243 : Epoch  5, Batch     57, Loss  0.867819, Average Loss  0.868414, Time  0.236111
2021-09-22 10:33:33.411109 : Epoch  5, Batch     58, Loss  0.875882, Average Loss  0.868404, Time  0.236940
2021-09-22 10:33:36.055863 : Epoch  5, Batch     59, Loss  0.862708, Average Loss  0.868339, Time  0.237734
2021-09-22 10:33:38.687845 : Epoch  5, Batch     60, Loss  0.861443, Average Loss  0.868268, Time  0.236392
2021-09-22 10:33:41.327460 : Epoch  5, Batch     61, Loss  0.855708, Average Loss  0.868136, Time  0.236322
2021-09-22 10:33:43.964850 : Epoch  5, Batch     62, Loss  0.881118, Average Loss  0.868269, Time  0.236985
2021-09-22 10:33:46.614415 : Epoch  5, Batch     63, Loss  0.870647, Average Loss  0.868301, Time  0.236523
2021-09-22 10:33:49.264003 : Epoch  5, Batch     64, Loss  0.866855, Average Loss  0.868313, Time  0.236836
2021-09-22 10:33:51.904205 : Epoch  5, Batch     65, Loss  0.860255, Average Loss  0.868259, Time  0.236806
2021-09-22 10:33:54.546172 : Epoch  5, Batch     66, Loss  0.876453, Average Loss  0.868478, Time  0.236966
2021-09-22 10:33:57.201977 : Epoch  5, Batch     67, Loss  0.870815, Average Loss  0.868509, Time  0.236309
2021-09-22 10:33:59.865459 : Epoch  5, Batch     68, Loss  0.861364, Average Loss  0.868475, Time  0.236489
2021-09-22 10:34:02.575394 : Epoch  5, Batch     69, Loss  0.884767, Average Loss  0.868465, Time  0.239765
2021-09-22 10:34:05.217213 : Epoch  5, Batch     70, Loss  0.863603, Average Loss  0.868553, Time  0.236095
2021-09-22 10:34:07.946842 : Epoch  5, Batch     71, Loss  0.874346, Average Loss  0.868571, Time  0.236711
2021-09-22 10:34:10.584411 : Epoch  5, Batch     72, Loss  0.862289, Average Loss  0.868514, Time  0.235710
2021-09-22 10:34:13.243417 : Epoch  5, Batch     73, Loss  0.901579, Average Loss  0.868682, Time  0.236247
2021-09-22 10:34:15.891412 : Epoch  5, Batch     74, Loss  0.883230, Average Loss  0.868702, Time  0.236257
2021-09-22 10:34:18.560380 : Epoch  5, Batch     75, Loss  0.866470, Average Loss  0.868831, Time  0.236517
2021-09-22 10:34:21.203995 : Epoch  5, Batch     76, Loss  0.875703, Average Loss  0.868899, Time  0.238087
2021-09-22 10:38:30.007735 : CheckPoint: Validation Loss  0.00030165, Best Loss  0.00029452
2021-09-22 10:38:32.652236 : Epoch  5, Batch     77, Loss  0.874714, Average Loss  0.868857, Time  0.237603
2021-09-22 10:38:35.290352 : Epoch  5, Batch     78, Loss  0.881664, Average Loss  0.868951, Time  0.236293
2021-09-22 10:38:37.939205 : Epoch  5, Batch     79, Loss  0.874107, Average Loss  0.868935, Time  0.236427
2021-09-22 10:38:40.600441 : Epoch  5, Batch     80, Loss  0.849863, Average Loss  0.868775, Time  0.244947
2021-09-22 10:38:43.363862 : Epoch  5, Batch     81, Loss  0.870921, Average Loss  0.868749, Time  0.236312
2021-09-22 10:38:45.996596 : Epoch  5, Batch     82, Loss  0.865918, Average Loss  0.868718, Time  0.236010
2021-09-22 10:38:48.629592 : Epoch  5, Batch     83, Loss  0.863669, Average Loss  0.868686, Time  0.236319
2021-09-22 10:38:51.262659 : Epoch  5, Batch     84, Loss  0.877805, Average Loss  0.868656, Time  0.237268
2021-09-22 10:38:53.899785 : Epoch  5, Batch     85, Loss  0.863933, Average Loss  0.868604, Time  0.236227
2021-09-22 10:38:56.549650 : Epoch  5, Batch     86, Loss  0.860348, Average Loss  0.868477, Time  0.235938
2021-09-22 10:38:59.190660 : Epoch  5, Batch     87, Loss  0.850928, Average Loss  0.868357, Time  0.235987
2021-09-22 10:39:01.837763 : Epoch  5, Batch     88, Loss  0.885323, Average Loss  0.868412, Time  0.236909
2021-09-22 10:39:04.464382 : Epoch  5, Batch     89, Loss  0.848907, Average Loss  0.868434, Time  0.235479
2021-09-22 10:39:07.104899 : Epoch  5, Batch     90, Loss  0.854691, Average Loss  0.868372, Time  0.236967
2021-09-22 10:39:09.749407 : Epoch  5, Batch     91, Loss  0.875704, Average Loss  0.868410, Time  0.236743
2021-09-22 10:39:12.396235 : Epoch  5, Batch     92, Loss  0.861105, Average Loss  0.868383, Time  0.239363
2021-09-22 10:39:15.027269 : Epoch  5, Batch     93, Loss  0.868378, Average Loss  0.868359, Time  0.235855
2021-09-22 10:39:17.666957 : Epoch  5, Batch     94, Loss  0.859280, Average Loss  0.868386, Time  0.237000
2021-09-22 10:39:20.313884 : Epoch  5, Batch     95, Loss  0.864825, Average Loss  0.868433, Time  0.236737
2021-09-22 10:39:22.957964 : Epoch  5, Batch     96, Loss  0.881783, Average Loss  0.868450, Time  0.236054
2021-09-22 10:39:25.614922 : Epoch  5, Batch     97, Loss  0.855323, Average Loss  0.868308, Time  0.236700
2021-09-22 10:39:28.262275 : Epoch  5, Batch     98, Loss  0.893107, Average Loss  0.868452, Time  0.236152
2021-09-22 10:39:30.914791 : Epoch  5, Batch     99, Loss  0.888825, Average Loss  0.868514, Time  0.235803
2021-09-22 10:39:33.601403 : Epoch  5, Batch    100, Loss  0.870321, Average Loss  0.868526, Time  0.236296
2021-09-22 10:39:36.236041 : Epoch  5, Batch    101, Loss  0.876955, Average Loss  0.868537, Time  0.236350
2021-09-22 10:39:38.916406 : Epoch  5, Batch    102, Loss  0.867047, Average Loss  0.868530, Time  0.237113
2021-09-22 10:39:41.562620 : Epoch  5, Batch    103, Loss  0.858921, Average Loss  0.868330, Time  0.236151
2021-09-22 10:39:44.194905 : Epoch  5, Batch    104, Loss  0.871612, Average Loss  0.868287, Time  0.237022
2021-09-22 10:39:46.825871 : Epoch  5, Batch    105, Loss  0.863582, Average Loss  0.868280, Time  0.236552
2021-09-22 10:39:49.463004 : Epoch  5, Batch    106, Loss  0.864575, Average Loss  0.868226, Time  0.236367
2021-09-22 10:39:52.106487 : Epoch  5, Batch    107, Loss  0.886786, Average Loss  0.868260, Time  0.236011
2021-09-22 10:39:54.737103 : Epoch  5, Batch    108, Loss  0.871801, Average Loss  0.868219, Time  0.236274
2021-09-22 10:39:57.375585 : Epoch  5, Batch    109, Loss  0.883628, Average Loss  0.868238, Time  0.236073
2021-09-22 10:40:00.002371 : Epoch  5, Batch    110, Loss  0.880128, Average Loss  0.868301, Time  0.236274
2021-09-22 10:40:02.632951 : Epoch  5, Batch    111, Loss  0.849616, Average Loss  0.868223, Time  0.235816
2021-09-22 10:40:05.292713 : Epoch  5, Batch    112, Loss  0.866873, Average Loss  0.868182, Time  0.236731
2021-09-22 10:40:07.971114 : Epoch  5, Batch    113, Loss  0.853228, Average Loss  0.868233, Time  0.236313
2021-09-22 10:40:10.650325 : Epoch  5, Batch    114, Loss  0.904587, Average Loss  0.868338, Time  0.235942
2021-09-22 10:40:13.305071 : Epoch  5, Batch    115, Loss  0.879138, Average Loss  0.868379, Time  0.236902
2021-09-22 10:40:15.930699 : Epoch  5, Batch    116, Loss  0.876874, Average Loss  0.868348, Time  0.236202
2021-09-22 10:40:18.576450 : Epoch  5, Batch    117, Loss  0.850414, Average Loss  0.868262, Time  0.236739
2021-09-22 10:40:21.215271 : Epoch  5, Batch    118, Loss  0.884481, Average Loss  0.868372, Time  0.240452
2021-09-22 10:40:23.864726 : Epoch  5, Batch    119, Loss  0.870338, Average Loss  0.868307, Time  0.236523
2021-09-22 10:40:26.514133 : Epoch  5, Batch    120, Loss  0.854791, Average Loss  0.868257, Time  0.236634
2021-09-22 10:40:29.166093 : Epoch  5, Batch    121, Loss  0.874364, Average Loss  0.868184, Time  0.236959
2021-09-22 10:40:31.806809 : Epoch  5, Batch    122, Loss  0.892593, Average Loss  0.868246, Time  0.236485
2021-09-22 10:40:34.455088 : Epoch  5, Batch    123, Loss  0.867488, Average Loss  0.868250, Time  0.236437
2021-09-22 10:40:37.132899 : Epoch  5, Batch    124, Loss  0.873582, Average Loss  0.868230, Time  0.236494
2021-09-22 10:40:39.796394 : Epoch  5, Batch    125, Loss  0.884255, Average Loss  0.868284, Time  0.237021
2021-09-22 10:40:42.438211 : Epoch  5, Batch    126, Loss  0.885646, Average Loss  0.868458, Time  0.236850
2021-09-22 10:40:45.076404 : Epoch  5, Batch    127, Loss  0.869337, Average Loss  0.868517, Time  0.236188
2021-09-22 10:40:47.718017 : Epoch  5, Batch    128, Loss  0.864637, Average Loss  0.868500, Time  0.236723
2021-09-22 10:40:50.340499 : Epoch  5, Batch    129, Loss  0.885645, Average Loss  0.868693, Time  0.236769
2021-09-22 10:40:52.977745 : Epoch  5, Batch    130, Loss  0.890597, Average Loss  0.868853, Time  0.237781
2021-09-22 10:40:55.612817 : Epoch  5, Batch    131, Loss  0.879763, Average Loss  0.868818, Time  0.237181
2021-09-22 10:40:58.250468 : Epoch  5, Batch    132, Loss  0.869569, Average Loss  0.868823, Time  0.236457
2021-09-22 10:41:00.885668 : Epoch  5, Batch    133, Loss  0.862603, Average Loss  0.868877, Time  0.235835
2021-09-22 10:41:03.527402 : Epoch  5, Batch    134, Loss  0.861713, Average Loss  0.868873, Time  0.236449
2021-09-22 10:41:06.220903 : Epoch  5, Batch    135, Loss  0.856500, Average Loss  0.868714, Time  0.236032
2021-09-22 10:41:08.859701 : Epoch  5, Batch    136, Loss  0.864006, Average Loss  0.868714, Time  0.235998
2021-09-22 10:41:11.504583 : Epoch  5, Batch    137, Loss  0.864113, Average Loss  0.868627, Time  0.236591
2021-09-22 10:41:14.137694 : Epoch  5, Batch    138, Loss  0.859086, Average Loss  0.868611, Time  0.236975
2021-09-22 10:41:16.783836 : Epoch  5, Batch    139, Loss  0.880390, Average Loss  0.868661, Time  0.236354
2021-09-22 10:41:19.423049 : Epoch  5, Batch    140, Loss  0.861143, Average Loss  0.868658, Time  0.237737
2021-09-22 10:41:22.074818 : Epoch  5, Batch    141, Loss  0.863931, Average Loss  0.868661, Time  0.236694
2021-09-22 10:41:24.742712 : Epoch  5, Batch    142, Loss  0.860812, Average Loss  0.868440, Time  0.236636
2021-09-22 10:41:27.385907 : Epoch  5, Batch    143, Loss  0.849894, Average Loss  0.868421, Time  0.237600
2021-09-22 10:41:30.037488 : Epoch  5, Batch    144, Loss  0.856326, Average Loss  0.868418, Time  0.236314
2021-09-22 10:41:32.686384 : Epoch  5, Batch    145, Loss  0.873391, Average Loss  0.868280, Time  0.236813
2021-09-22 10:41:35.330071 : Epoch  5, Batch    146, Loss  0.872789, Average Loss  0.868266, Time  0.237570
2021-09-22 10:41:37.971423 : Epoch  5, Batch    147, Loss  0.879724, Average Loss  0.868460, Time  0.236761
2021-09-22 10:41:40.616659 : Epoch  5, Batch    148, Loss  0.848251, Average Loss  0.868411, Time  0.236634
2021-09-22 10:41:43.259005 : Epoch  5, Batch    149, Loss  0.865175, Average Loss  0.868359, Time  0.236458
2021-09-22 10:41:45.895216 : Epoch  5, Batch    150, Loss  0.895885, Average Loss  0.868557, Time  0.236043
2021-09-22 10:41:48.533791 : Epoch  5, Batch    151, Loss  0.876746, Average Loss  0.868631, Time  0.236634
2021-09-22 10:41:51.168410 : Epoch  5, Batch    152, Loss  0.867231, Average Loss  0.868651, Time  0.236846
2021-09-22 10:41:53.798953 : Epoch  5, Batch    153, Loss  0.843925, Average Loss  0.868636, Time  0.236255
2021-09-22 10:41:56.447435 : Epoch  5, Batch    154, Loss  0.857300, Average Loss  0.868607, Time  0.236540
2021-09-22 10:41:59.084145 : Epoch  5, Batch    155, Loss  0.858464, Average Loss  0.868467, Time  0.236651
2021-09-22 10:42:01.733102 : Epoch  5, Batch    156, Loss  0.883133, Average Loss  0.868539, Time  0.236299
2021-09-22 10:42:04.427198 : Epoch  5, Batch    157, Loss  0.870659, Average Loss  0.868610, Time  0.235822
2021-09-22 10:42:07.066672 : Epoch  5, Batch    158, Loss  0.855107, Average Loss  0.868554, Time  0.236223
2021-09-22 10:42:09.708063 : Epoch  5, Batch    159, Loss  0.880065, Average Loss  0.868550, Time  0.236306
2021-09-22 10:42:12.352854 : Epoch  5, Batch    160, Loss  0.859868, Average Loss  0.868482, Time  0.236700
2021-09-22 10:42:14.995976 : Epoch  5, Batch    161, Loss  0.885786, Average Loss  0.868520, Time  0.237367
2021-09-22 10:42:17.640689 : Epoch  5, Batch    162, Loss  0.878415, Average Loss  0.868668, Time  0.236674
2021-09-22 10:42:20.283229 : Epoch  5, Batch    163, Loss  0.844609, Average Loss  0.868508, Time  0.237135
2021-09-22 10:42:22.923894 : Epoch  5, Batch    164, Loss  0.883769, Average Loss  0.868695, Time  0.237161
2021-09-22 10:42:25.556106 : Epoch  5, Batch    165, Loss  0.881400, Average Loss  0.868795, Time  0.236254
2021-09-22 10:42:28.196156 : Epoch  5, Batch    166, Loss  0.883973, Average Loss  0.868910, Time  0.236513
2021-09-22 10:42:30.838113 : Epoch  5, Batch    167, Loss  0.872150, Average Loss  0.868925, Time  0.236189
2021-09-22 10:42:33.484833 : Epoch  5, Batch    168, Loss  0.875210, Average Loss  0.868958, Time  0.236459
2021-09-22 10:42:36.125877 : Epoch  5, Batch    169, Loss  0.866546, Average Loss  0.869006, Time  0.235950
2021-09-22 10:42:38.755982 : Epoch  5, Batch    170, Loss  0.878902, Average Loss  0.869057, Time  0.236224
2021-09-22 10:42:41.383418 : Epoch  5, Batch    171, Loss  0.895027, Average Loss  0.869087, Time  0.235332
2021-09-22 10:42:44.016496 : Epoch  5, Batch    172, Loss  0.871621, Average Loss  0.869135, Time  0.236825
2021-09-22 10:42:46.654403 : Epoch  5, Batch    173, Loss  0.881201, Average Loss  0.869176, Time  0.236063
2021-09-22 10:42:49.295329 : Epoch  5, Batch    174, Loss  0.870433, Average Loss  0.869245, Time  0.236512
2021-09-22 10:42:51.935997 : Epoch  5, Batch    175, Loss  0.856123, Average Loss  0.869194, Time  0.235905
2021-09-22 10:42:54.580362 : Epoch  5, Batch    176, Loss  0.872323, Average Loss  0.869239, Time  0.236457
2021-09-22 10:47:03.911742 : CheckPoint: Validation Loss  0.00031260, Best Loss  0.00029452
2021-09-22 10:47:06.591477 : Epoch  5, Batch    177, Loss  0.844139, Average Loss  0.869223, Time  0.267184
2021-09-22 10:47:09.268050 : Epoch  5, Batch    178, Loss  0.877244, Average Loss  0.869341, Time  0.250390
2021-09-22 10:47:11.916968 : Epoch  5, Batch    179, Loss  0.865748, Average Loss  0.869328, Time  0.238299
2021-09-22 10:47:14.565266 : Epoch  5, Batch    180, Loss  0.869454, Average Loss  0.869392, Time  0.237558
2021-09-22 10:47:17.218388 : Epoch  5, Batch    181, Loss  0.879868, Average Loss  0.869553, Time  0.235622
2021-09-22 10:47:19.875396 : Epoch  5, Batch    182, Loss  0.857714, Average Loss  0.869552, Time  0.237196
2021-09-22 10:47:22.520330 : Epoch  5, Batch    183, Loss  0.882592, Average Loss  0.869658, Time  0.236170
2021-09-22 10:47:25.173455 : Epoch  5, Batch    184, Loss  0.877918, Average Loss  0.869690, Time  0.236449
2021-09-22 10:47:27.827694 : Epoch  5, Batch    185, Loss  0.866143, Average Loss  0.869648, Time  0.235746
2021-09-22 10:47:30.478151 : Epoch  5, Batch    186, Loss  0.866016, Average Loss  0.869664, Time  0.236326
2021-09-22 10:47:33.126698 : Epoch  5, Batch    187, Loss  0.872107, Average Loss  0.869694, Time  0.236203
2021-09-22 10:47:35.771401 : Epoch  5, Batch    188, Loss  0.840831, Average Loss  0.869530, Time  0.236880
2021-09-22 10:47:38.420389 : Epoch  5, Batch    189, Loss  0.881603, Average Loss  0.869520, Time  0.235620
2021-09-22 10:47:41.071816 : Epoch  5, Batch    190, Loss  0.844675, Average Loss  0.869458, Time  0.236031
2021-09-22 10:47:43.730204 : Epoch  5, Batch    191, Loss  0.885590, Average Loss  0.869458, Time  0.236291
2021-09-22 10:47:46.373814 : Epoch  5, Batch    192, Loss  0.879001, Average Loss  0.869462, Time  0.239947
2021-09-22 10:47:49.015905 : Epoch  5, Batch    193, Loss  0.880923, Average Loss  0.869570, Time  0.236386
2021-09-22 10:47:51.676833 : Epoch  5, Batch    194, Loss  0.864445, Average Loss  0.869613, Time  0.237180
2021-09-22 10:47:54.331252 : Epoch  5, Batch    195, Loss  0.861696, Average Loss  0.869568, Time  0.237136
2021-09-22 10:47:56.980410 : Epoch  5, Batch    196, Loss  0.868693, Average Loss  0.869534, Time  0.236811
2021-09-22 10:47:59.644985 : Epoch  5, Batch    197, Loss  0.894835, Average Loss  0.869614, Time  0.237410
2021-09-22 10:48:02.294429 : Epoch  5, Batch    198, Loss  0.876988, Average Loss  0.869645, Time  0.238853
2021-09-22 10:48:04.940197 : Epoch  5, Batch    199, Loss  0.878005, Average Loss  0.869704, Time  0.236094
2021-09-22 10:48:07.597157 : Epoch  5, Batch    200, Loss  0.855466, Average Loss  0.869688, Time  0.237531
2021-09-22 10:48:10.255401 : Epoch  5, Batch    201, Loss  0.876139, Average Loss  0.869621, Time  0.236345
2021-09-22 10:48:12.923227 : Epoch  5, Batch    202, Loss  0.851872, Average Loss  0.869417, Time  0.249172
2021-09-22 10:48:15.570426 : Epoch  5, Batch    203, Loss  0.874151, Average Loss  0.869373, Time  0.235873
2021-09-22 10:48:18.221395 : Epoch  5, Batch    204, Loss  0.864577, Average Loss  0.869359, Time  0.236990
2021-09-22 10:48:20.861404 : Epoch  5, Batch    205, Loss  0.876092, Average Loss  0.869485, Time  0.237170
2021-09-22 10:48:23.513218 : Epoch  5, Batch    206, Loss  0.855248, Average Loss  0.869441, Time  0.236390
2021-09-22 10:48:26.165755 : Epoch  5, Batch    207, Loss  0.856381, Average Loss  0.869393, Time  0.236193
2021-09-22 10:48:28.806405 : Epoch  5, Batch    208, Loss  0.848743, Average Loss  0.869286, Time  0.237274
2021-09-22 10:48:31.450972 : Epoch  5, Batch    209, Loss  0.876735, Average Loss  0.869389, Time  0.236142
2021-09-22 10:48:34.107767 : Epoch  5, Batch    210, Loss  0.869990, Average Loss  0.869366, Time  0.236716
2021-09-22 10:48:36.799823 : Epoch  5, Batch    211, Loss  0.900046, Average Loss  0.869544, Time  0.236064
2021-09-22 10:48:39.440370 : Epoch  5, Batch    212, Loss  0.879623, Average Loss  0.869571, Time  0.236324
2021-09-22 10:48:42.080634 : Epoch  5, Batch    213, Loss  0.854192, Average Loss  0.869475, Time  0.236638
2021-09-22 10:48:44.708725 : Epoch  5, Batch    214, Loss  0.847411, Average Loss  0.869393, Time  0.236113
2021-09-22 10:48:47.348210 : Epoch  5, Batch    215, Loss  0.867075, Average Loss  0.869401, Time  0.236537
2021-09-22 10:48:50.000396 : Epoch  5, Batch    216, Loss  0.857412, Average Loss  0.869338, Time  0.236521
2021-09-22 10:48:52.646137 : Epoch  5, Batch    217, Loss  0.873952, Average Loss  0.869261, Time  0.236361
2021-09-22 10:48:55.292408 : Epoch  5, Batch    218, Loss  0.860601, Average Loss  0.869408, Time  0.237628
2021-09-22 10:48:57.929374 : Epoch  5, Batch    219, Loss  0.873848, Average Loss  0.869452, Time  0.235595
2021-09-22 10:49:00.561478 : Epoch  5, Batch    220, Loss  0.868964, Average Loss  0.869519, Time  0.236574
2021-09-22 10:49:03.215005 : Epoch  5, Batch    221, Loss  0.884654, Average Loss  0.869562, Time  0.236403
2021-09-22 10:49:05.849080 : Epoch  5, Batch    222, Loss  0.857936, Average Loss  0.869502, Time  0.236334
2021-09-22 10:49:08.491855 : Epoch  5, Batch    223, Loss  0.879486, Average Loss  0.869666, Time  0.236614
2021-09-22 10:49:11.137556 : Epoch  5, Batch    224, Loss  0.858569, Average Loss  0.869604, Time  0.236886
2021-09-22 10:49:13.812435 : Epoch  5, Batch    225, Loss  0.870390, Average Loss  0.869592, Time  0.236057
2021-09-22 10:49:16.462981 : Epoch  5, Batch    226, Loss  0.871305, Average Loss  0.869528, Time  0.236836
2021-09-22 10:49:19.115876 : Epoch  5, Batch    227, Loss  0.851125, Average Loss  0.869380, Time  0.236590
2021-09-22 10:49:21.768028 : Epoch  5, Batch    228, Loss  0.874384, Average Loss  0.869399, Time  0.236567
2021-09-22 10:49:24.427958 : Epoch  5, Batch    229, Loss  0.876786, Average Loss  0.869484, Time  0.236830
2021-09-22 10:49:27.078996 : Epoch  5, Batch    230, Loss  0.850905, Average Loss  0.869446, Time  0.237074
2021-09-22 10:49:29.750406 : Epoch  5, Batch    231, Loss  0.888324, Average Loss  0.869619, Time  0.236712
2021-09-22 10:49:32.386430 : Epoch  5, Batch    232, Loss  0.887347, Average Loss  0.869715, Time  0.236442
2021-09-22 10:49:35.034412 : Epoch  5, Batch    233, Loss  0.873122, Average Loss  0.869769, Time  0.236244
2021-09-22 10:49:37.699124 : Epoch  5, Batch    234, Loss  0.885367, Average Loss  0.869866, Time  0.236907
2021-09-22 10:49:40.339401 : Epoch  5, Batch    235, Loss  0.851539, Average Loss  0.869891, Time  0.235489
2021-09-22 10:49:42.970873 : Epoch  5, Batch    236, Loss  0.867994, Average Loss  0.869786, Time  0.236990
2021-09-22 10:49:45.611368 : Epoch  5, Batch    237, Loss  0.868865, Average Loss  0.869734, Time  0.236437
2021-09-22 10:49:48.251608 : Epoch  5, Batch    238, Loss  0.877016, Average Loss  0.869843, Time  0.236434
2021-09-22 10:49:50.899349 : Epoch  5, Batch    239, Loss  0.865475, Average Loss  0.869843, Time  0.236327
2021-09-22 10:49:53.557020 : Epoch  5, Batch    240, Loss  0.880530, Average Loss  0.869885, Time  0.237979
2021-09-22 10:49:56.201237 : Epoch  5, Batch    241, Loss  0.877651, Average Loss  0.869897, Time  0.236509
2021-09-22 10:49:58.850656 : Epoch  5, Batch    242, Loss  0.853767, Average Loss  0.869824, Time  0.236448
2021-09-22 10:50:01.520684 : Epoch  5, Batch    243, Loss  0.872904, Average Loss  0.869859, Time  0.236736
2021-09-22 10:50:04.198391 : Epoch  5, Batch    244, Loss  0.882452, Average Loss  0.869903, Time  0.235943
2021-09-22 10:50:06.892200 : Epoch  5, Batch    245, Loss  0.876032, Average Loss  0.869855, Time  0.237005
2021-09-22 10:50:09.576077 : Epoch  5, Batch    246, Loss  0.864147, Average Loss  0.869833, Time  0.243473
2021-09-22 10:50:12.235254 : Epoch  5, Batch    247, Loss  0.872813, Average Loss  0.869794, Time  0.235931
2021-09-22 10:50:14.886833 : Epoch  5, Batch    248, Loss  0.887628, Average Loss  0.869981, Time  0.237463
2021-09-22 10:50:17.533405 : Epoch  5, Batch    249, Loss  0.875658, Average Loss  0.870113, Time  0.235883
2021-09-22 10:50:20.179607 : Epoch  5, Batch    250, Loss  0.862345, Average Loss  0.870158, Time  0.236604
2021-09-22 10:50:22.824399 : Epoch  5, Batch    251, Loss  0.876398, Average Loss  0.870161, Time  0.236251
2021-09-22 10:50:25.483153 : Epoch  5, Batch    252, Loss  0.882381, Average Loss  0.870175, Time  0.237291
2021-09-22 10:50:28.131350 : Epoch  5, Batch    253, Loss  0.853318, Average Loss  0.870107, Time  0.236357
2021-09-22 10:50:30.787442 : Epoch  5, Batch    254, Loss  0.850685, Average Loss  0.870013, Time  0.237093
2021-09-22 10:50:33.436316 : Epoch  5, Batch    255, Loss  0.866474, Average Loss  0.869966, Time  0.236105
2021-09-22 10:50:36.084867 : Epoch  5, Batch    256, Loss  0.882072, Average Loss  0.870028, Time  0.237551
2021-09-22 10:50:38.783828 : Epoch  5, Batch    257, Loss  0.872916, Average Loss  0.870054, Time  0.255990
2021-09-22 10:50:41.449460 : Epoch  5, Batch    258, Loss  0.879457, Average Loss  0.870072, Time  0.241237
2021-09-22 10:50:44.178961 : Epoch  5, Batch    259, Loss  0.856817, Average Loss  0.870042, Time  0.236494
2021-09-22 10:50:46.848066 : Epoch  5, Batch    260, Loss  0.879092, Average Loss  0.870130, Time  0.239324
2021-09-22 10:50:49.484710 : Epoch  5, Batch    261, Loss  0.873715, Average Loss  0.870220, Time  0.236053
2021-09-22 10:50:52.137422 : Epoch  5, Batch    262, Loss  0.859360, Average Loss  0.870112, Time  0.239167
2021-09-22 10:50:54.792201 : Epoch  5, Batch    263, Loss  0.892995, Average Loss  0.870223, Time  0.235988
2021-09-22 10:50:57.454430 : Epoch  5, Batch    264, Loss  0.851379, Average Loss  0.870146, Time  0.237931
2021-09-22 10:51:00.124873 : Epoch  5, Batch    265, Loss  0.887897, Average Loss  0.870284, Time  0.238908
2021-09-22 10:51:02.783089 : Epoch  5, Batch    266, Loss  0.872291, Average Loss  0.870263, Time  0.238045
2021-09-22 10:51:05.456420 : Epoch  5, Batch    267, Loss  0.884973, Average Loss  0.870334, Time  0.237386
2021-09-22 10:51:08.160491 : Epoch  5, Batch    268, Loss  0.880690, Average Loss  0.870431, Time  0.239268
2021-09-22 10:51:10.816404 : Epoch  5, Batch    269, Loss  0.877144, Average Loss  0.870393, Time  0.235834
2021-09-22 10:51:13.485075 : Epoch  5, Batch    270, Loss  0.864836, Average Loss  0.870399, Time  0.236750
2021-09-22 10:51:16.144989 : Epoch  5, Batch    271, Loss  0.860239, Average Loss  0.870328, Time  0.237666
2021-09-22 10:51:18.814038 : Epoch  5, Batch    272, Loss  0.862202, Average Loss  0.870328, Time  0.238712
2021-09-22 10:51:21.469382 : Epoch  5, Batch    273, Loss  0.853791, Average Loss  0.870089, Time  0.237168
2021-09-22 10:51:24.117414 : Epoch  5, Batch    274, Loss  0.865832, Average Loss  0.870002, Time  0.236497
2021-09-22 10:51:26.762317 : Epoch  5, Batch    275, Loss  0.867487, Average Loss  0.870007, Time  0.235445
2021-09-22 10:51:29.426949 : Epoch  5, Batch    276, Loss  0.873210, Average Loss  0.869995, Time  0.237743
2021-09-22 10:55:39.252748 : CheckPoint: Validation Loss  0.00030901, Best Loss  0.00029452
2021-09-22 10:55:41.908197 : Epoch  5, Batch    277, Loss  0.888558, Average Loss  0.870064, Time  0.237764
2021-09-22 10:55:44.569868 : Epoch  5, Batch    278, Loss  0.864281, Average Loss  0.869977, Time  0.236694
2021-09-22 10:55:47.224217 : Epoch  5, Batch    279, Loss  0.859587, Average Loss  0.869904, Time  0.236947
2021-09-22 10:55:49.862237 : Epoch  5, Batch    280, Loss  0.891011, Average Loss  0.870110, Time  0.235949
2021-09-22 10:55:52.517620 : Epoch  5, Batch    281, Loss  0.875016, Average Loss  0.870131, Time  0.235393
2021-09-22 10:55:55.189951 : Epoch  5, Batch    282, Loss  0.874954, Average Loss  0.870176, Time  0.236585
2021-09-22 10:55:57.822964 : Epoch  5, Batch    283, Loss  0.874318, Average Loss  0.870229, Time  0.236493
2021-09-22 10:56:00.464828 : Epoch  5, Batch    284, Loss  0.861095, Average Loss  0.870145, Time  0.236257
2021-09-22 10:56:03.103166 : Epoch  5, Batch    285, Loss  0.890428, Average Loss  0.870278, Time  0.235451
2021-09-22 10:56:05.748838 : Epoch  5, Batch    286, Loss  0.875642, Average Loss  0.870354, Time  0.237091
2021-09-22 10:56:08.414074 : Epoch  5, Batch    287, Loss  0.876227, Average Loss  0.870481, Time  0.236582
2021-09-22 10:56:11.050601 : Epoch  5, Batch    288, Loss  0.887347, Average Loss  0.870491, Time  0.235960
2021-09-22 10:56:13.761439 : Epoch  5, Batch    289, Loss  0.887138, Average Loss  0.870682, Time  0.236006
2021-09-22 10:56:16.378435 : Epoch  5, Batch    290, Loss  0.869646, Average Loss  0.870757, Time  0.237287
2021-09-22 10:56:19.011357 : Epoch  5, Batch    291, Loss  0.888880, Average Loss  0.870823, Time  0.235526
2021-09-22 10:56:21.637467 : Epoch  5, Batch    292, Loss  0.882050, Average Loss  0.870927, Time  0.235662
2021-09-22 10:56:24.270418 : Epoch  5, Batch    293, Loss  0.866508, Average Loss  0.870918, Time  0.236892
2021-09-22 10:56:26.921597 : Epoch  5, Batch    294, Loss  0.869767, Average Loss  0.870971, Time  0.236430
2021-09-22 10:56:29.557159 : Epoch  5, Batch    295, Loss  0.869719, Average Loss  0.870995, Time  0.236398
2021-09-22 10:56:32.200186 : Epoch  5, Batch    296, Loss  0.851731, Average Loss  0.870845, Time  0.237087
2021-09-22 10:56:34.870903 : Epoch  5, Batch    297, Loss  0.881232, Average Loss  0.870974, Time  0.237535
2021-09-22 10:56:37.516945 : Epoch  5, Batch    298, Loss  0.888095, Average Loss  0.870949, Time  0.236455
2021-09-22 10:56:40.153125 : Epoch  5, Batch    299, Loss  0.866981, Average Loss  0.870840, Time  0.235986
2021-09-22 10:56:42.779696 : Epoch  5, Batch    300, Loss  0.873833, Average Loss  0.870858, Time  0.236720
2021-09-22 10:56:45.402902 : Epoch  5, Batch    301, Loss  0.879729, Average Loss  0.870871, Time  0.235868
2021-09-22 10:56:48.029216 : Epoch  5, Batch    302, Loss  0.855158, Average Loss  0.870812, Time  0.235765
2021-09-22 10:56:50.649095 : Epoch  5, Batch    303, Loss  0.866910, Average Loss  0.870852, Time  0.236067
2021-09-22 10:56:53.281392 : Epoch  5, Batch    304, Loss  0.858814, Average Loss  0.870788, Time  0.236168
2021-09-22 10:56:55.907095 : Epoch  5, Batch    305, Loss  0.890188, Average Loss  0.870921, Time  0.236032
2021-09-22 10:56:58.530796 : Epoch  5, Batch    306, Loss  0.871602, Average Loss  0.870956, Time  0.236488
2021-09-22 10:57:01.172374 : Epoch  5, Batch    307, Loss  0.870135, Average Loss  0.870873, Time  0.235590
2021-09-22 10:57:03.790984 : Epoch  5, Batch    308, Loss  0.879805, Average Loss  0.870913, Time  0.236184
2021-09-22 10:57:06.443647 : Epoch  5, Batch    309, Loss  0.864564, Average Loss  0.870818, Time  0.235689
2021-09-22 10:57:09.068015 : Epoch  5, Batch    310, Loss  0.852235, Average Loss  0.870678, Time  0.235921
2021-09-22 10:57:11.775639 : Epoch  5, Batch    311, Loss  0.883517, Average Loss  0.870848, Time  0.236344
2021-09-22 10:57:14.402035 : Epoch  5, Batch    312, Loss  0.870289, Average Loss  0.870865, Time  0.236040
2021-09-22 10:57:17.028482 : Epoch  5, Batch    313, Loss  0.875711, Average Loss  0.870977, Time  0.235656
2021-09-22 10:57:19.659422 : Epoch  5, Batch    314, Loss  0.897201, Average Loss  0.870940, Time  0.237061
2021-09-22 10:57:22.300394 : Epoch  5, Batch    315, Loss  0.887478, Average Loss  0.870982, Time  0.236191
2021-09-22 10:57:24.936781 : Epoch  5, Batch    316, Loss  0.865563, Average Loss  0.870925, Time  0.237449
2021-09-22 10:57:27.563179 : Epoch  5, Batch    317, Loss  0.877796, Average Loss  0.871062, Time  0.236344
2021-09-22 10:57:30.194958 : Epoch  5, Batch    318, Loss  0.884086, Average Loss  0.871060, Time  0.237667
2021-09-22 10:57:32.850963 : Epoch  5, Batch    319, Loss  0.882410, Average Loss  0.871121, Time  0.236889
2021-09-22 10:57:35.483187 : Epoch  5, Batch    320, Loss  0.858280, Average Loss  0.871138, Time  0.236301
2021-09-22 10:57:38.182427 : Epoch  5, Batch    321, Loss  0.863756, Average Loss  0.871085, Time  0.236474
2021-09-22 10:57:40.846861 : Epoch  5, Batch    322, Loss  0.858719, Average Loss  0.870916, Time  0.236565
2021-09-22 10:57:43.509415 : Epoch  5, Batch    323, Loss  0.865716, Average Loss  0.870907, Time  0.235773
2021-09-22 10:57:46.156007 : Epoch  5, Batch    324, Loss  0.860514, Average Loss  0.870841, Time  0.236324
2021-09-22 10:57:48.801367 : Epoch  5, Batch    325, Loss  0.854199, Average Loss  0.870691, Time  0.235335
2021-09-22 10:57:51.453164 : Epoch  5, Batch    326, Loss  0.884054, Average Loss  0.870683, Time  0.236193
2021-09-22 10:57:54.164406 : Epoch  5, Batch    327, Loss  0.893901, Average Loss  0.870806, Time  0.236437
2021-09-22 10:57:56.811230 : Epoch  5, Batch    328, Loss  0.890130, Average Loss  0.870934, Time  0.236446
2021-09-22 10:57:59.480232 : Epoch  5, Batch    329, Loss  0.872590, Average Loss  0.870868, Time  0.236106
2021-09-22 10:58:02.134109 : Epoch  5, Batch    330, Loss  0.873177, Average Loss  0.870781, Time  0.237034
2021-09-22 10:58:04.839023 : Epoch  5, Batch    331, Loss  0.880322, Average Loss  0.870784, Time  0.239071
2021-09-22 10:58:07.491400 : Epoch  5, Batch    332, Loss  0.888121, Average Loss  0.870877, Time  0.235867
2021-09-22 10:58:10.140849 : Epoch  5, Batch    333, Loss  0.865756, Average Loss  0.870892, Time  0.236148
2021-09-22 10:58:12.796405 : Epoch  5, Batch    334, Loss  0.850717, Average Loss  0.870837, Time  0.236939
2021-09-22 10:58:15.440076 : Epoch  5, Batch    335, Loss  0.856628, Average Loss  0.870838, Time  0.236019
2021-09-22 10:58:18.082489 : Epoch  5, Batch    336, Loss  0.871798, Average Loss  0.870877, Time  0.236143
2021-09-22 10:58:20.715388 : Epoch  5, Batch    337, Loss  0.882951, Average Loss  0.870971, Time  0.236330
2021-09-22 10:58:23.348334 : Epoch  5, Batch    338, Loss  0.851208, Average Loss  0.870932, Time  0.236889
2021-09-22 10:58:25.984467 : Epoch  5, Batch    339, Loss  0.869983, Average Loss  0.870880, Time  0.236431
2021-09-22 10:58:28.602179 : Epoch  5, Batch    340, Loss  0.877745, Average Loss  0.870963, Time  0.236611
2021-09-22 10:58:31.249919 : Epoch  5, Batch    341, Loss  0.855771, Average Loss  0.870922, Time  0.236549
2021-09-22 10:58:33.901988 : Epoch  5, Batch    342, Loss  0.855022, Average Loss  0.870893, Time  0.237051
2021-09-22 10:58:36.533886 : Epoch  5, Batch    343, Loss  0.860010, Average Loss  0.870944, Time  0.236377
2021-09-22 10:58:39.183614 : Epoch  5, Batch    344, Loss  0.861426, Average Loss  0.870969, Time  0.236833
2021-09-22 10:58:41.826283 : Epoch  5, Batch    345, Loss  0.865729, Average Loss  0.870931, Time  0.236376
2021-09-22 10:58:44.465992 : Epoch  5, Batch    346, Loss  0.890657, Average Loss  0.871020, Time  0.236758
2021-09-22 10:58:47.102018 : Epoch  5, Batch    347, Loss  0.874561, Average Loss  0.870994, Time  0.236067
2021-09-22 10:58:49.751140 : Epoch  5, Batch    348, Loss  0.881239, Average Loss  0.871159, Time  0.236876
2021-09-22 10:58:52.388833 : Epoch  5, Batch    349, Loss  0.869343, Average Loss  0.871180, Time  0.236239
2021-09-22 10:58:55.037929 : Epoch  5, Batch    350, Loss  0.879834, Average Loss  0.871100, Time  0.236213
2021-09-22 10:58:57.669246 : Epoch  5, Batch    351, Loss  0.867507, Average Loss  0.871054, Time  0.236733
2021-09-22 10:59:00.318772 : Epoch  5, Batch    352, Loss  0.878211, Average Loss  0.871109, Time  0.237228
2021-09-22 10:59:02.958696 : Epoch  5, Batch    353, Loss  0.852227, Average Loss  0.871150, Time  0.236120
2021-09-22 10:59:05.599380 : Epoch  5, Batch    354, Loss  0.867531, Average Loss  0.871201, Time  0.236122
2021-09-22 10:59:08.234635 : Epoch  5, Batch    355, Loss  0.877995, Average Loss  0.871299, Time  0.235974
2021-09-22 10:59:10.884426 : Epoch  5, Batch    356, Loss  0.856648, Average Loss  0.871167, Time  0.237534
2021-09-22 10:59:13.537982 : Epoch  5, Batch    357, Loss  0.887690, Average Loss  0.871252, Time  0.236334
2021-09-22 10:59:16.188892 : Epoch  5, Batch    358, Loss  0.867998, Average Loss  0.871316, Time  0.236097
2021-09-22 10:59:18.830994 : Epoch  5, Batch    359, Loss  0.884333, Average Loss  0.871337, Time  0.236432
2021-09-22 10:59:21.532006 : Epoch  5, Batch    360, Loss  0.857223, Average Loss  0.871324, Time  0.236187
2021-09-22 10:59:24.167413 : Epoch  5, Batch    361, Loss  0.865061, Average Loss  0.871221, Time  0.236117
2021-09-22 10:59:26.805437 : Epoch  5, Batch    362, Loss  0.875494, Average Loss  0.871206, Time  0.237017
2021-09-22 10:59:29.454737 : Epoch  5, Batch    363, Loss  0.857295, Average Loss  0.871269, Time  0.236247
2021-09-22 10:59:32.093026 : Epoch  5, Batch    364, Loss  0.880415, Average Loss  0.871253, Time  0.237184
2021-09-22 10:59:34.730287 : Epoch  5, Batch    365, Loss  0.884472, Average Loss  0.871268, Time  0.236675
2021-09-22 10:59:37.380817 : Epoch  5, Batch    366, Loss  0.862696, Average Loss  0.871162, Time  0.236425
2021-09-22 10:59:40.021047 : Epoch  5, Batch    367, Loss  0.881285, Average Loss  0.871207, Time  0.236898
2021-09-22 10:59:42.671942 : Epoch  5, Batch    368, Loss  0.853849, Average Loss  0.871101, Time  0.237032
2021-09-22 10:59:45.323821 : Epoch  5, Batch    369, Loss  0.886760, Average Loss  0.871202, Time  0.235959
2021-09-22 10:59:47.968850 : Epoch  5, Batch    370, Loss  0.855692, Average Loss  0.871086, Time  0.236171
2021-09-22 10:59:50.637836 : Epoch  5, Batch    371, Loss  0.875288, Average Loss  0.870987, Time  0.236356
2021-09-22 10:59:53.271653 : Epoch  5, Batch    372, Loss  0.869513, Average Loss  0.870976, Time  0.236364
2021-09-22 10:59:55.943884 : Epoch  5, Batch    373, Loss  0.883345, Average Loss  0.870987, Time  0.236183
2021-09-22 10:59:58.591948 : Epoch  5, Batch    374, Loss  0.842423, Average Loss  0.870847, Time  0.235932
2021-09-22 11:00:01.244089 : Epoch  5, Batch    375, Loss  0.873499, Average Loss  0.870934, Time  0.238329
2021-09-22 11:00:03.887848 : Epoch  5, Batch    376, Loss  0.876848, Average Loss  0.870957, Time  0.236162
2021-09-22 11:04:14.663753 : CheckPoint: Validation Loss  0.00031357, Best Loss  0.00029452
2021-09-22 11:04:17.304828 : Epoch  5, Batch    377, Loss  0.885776, Average Loss  0.871165, Time  0.237589
2021-09-22 11:04:19.950278 : Epoch  5, Batch    378, Loss  0.857611, Average Loss  0.871067, Time  0.236619
2021-09-22 11:04:22.588718 : Epoch  5, Batch    379, Loss  0.886895, Average Loss  0.871172, Time  0.236109
2021-09-22 11:04:25.234878 : Epoch  5, Batch    380, Loss  0.862066, Average Loss  0.871135, Time  0.236628
2021-09-22 11:04:27.870985 : Epoch  5, Batch    381, Loss  0.864894, Average Loss  0.871060, Time  0.235796
2021-09-22 11:04:30.524390 : Epoch  5, Batch    382, Loss  0.866162, Average Loss  0.871103, Time  0.236457
2021-09-22 11:04:33.176379 : Epoch  5, Batch    383, Loss  0.864050, Average Loss  0.871010, Time  0.236192
2021-09-22 11:04:35.806539 : Epoch  5, Batch    384, Loss  0.875931, Average Loss  0.871000, Time  0.235834
2021-09-22 11:04:38.441664 : Epoch  5, Batch    385, Loss  0.848274, Average Loss  0.870911, Time  0.235972
2021-09-22 11:04:41.095099 : Epoch  5, Batch    386, Loss  0.870785, Average Loss  0.870935, Time  0.236766
2021-09-22 11:04:43.741991 : Epoch  5, Batch    387, Loss  0.870351, Average Loss  0.870926, Time  0.238945
2021-09-22 11:04:46.383310 : Epoch  5, Batch    388, Loss  0.875453, Average Loss  0.871099, Time  0.236916
2021-09-22 11:04:49.024942 : Epoch  5, Batch    389, Loss  0.866358, Average Loss  0.871023, Time  0.237290
2021-09-22 11:04:51.686085 : Epoch  5, Batch    390, Loss  0.867423, Average Loss  0.871136, Time  0.236961
2021-09-22 11:04:54.331828 : Epoch  5, Batch    391, Loss  0.880704, Average Loss  0.871112, Time  0.237873
2021-09-22 11:04:56.980424 : Epoch  5, Batch    392, Loss  0.849580, Average Loss  0.870965, Time  0.235916
2021-09-22 11:04:59.628153 : Epoch  5, Batch    393, Loss  0.897388, Average Loss  0.871047, Time  0.236312
2021-09-22 11:05:02.279854 : Epoch  5, Batch    394, Loss  0.880515, Average Loss  0.871128, Time  0.237020
2021-09-22 11:05:04.922770 : Epoch  5, Batch    395, Loss  0.867470, Average Loss  0.871156, Time  0.235868
2021-09-22 11:05:07.562113 : Epoch  5, Batch    396, Loss  0.856712, Average Loss  0.871096, Time  0.237041
2021-09-22 11:05:10.209203 : Epoch  5, Batch    397, Loss  0.874039, Average Loss  0.870993, Time  0.236243
2021-09-22 11:05:12.854819 : Epoch  5, Batch    398, Loss  0.855527, Average Loss  0.870885, Time  0.236986
2021-09-22 11:05:15.546025 : Epoch  5, Batch    399, Loss  0.873181, Average Loss  0.870861, Time  0.236444
2021-09-22 11:05:18.183074 : Epoch  5, Batch    400, Loss  0.882068, Average Loss  0.870994, Time  0.236500
2021-09-22 11:05:20.823209 : Epoch  5, Batch    401, Loss  0.869145, Average Loss  0.870959, Time  0.236494
2021-09-22 11:05:23.476286 : Epoch  5, Batch    402, Loss  0.876852, Average Loss  0.871084, Time  0.236684
2021-09-22 11:05:26.110709 : Epoch  5, Batch    403, Loss  0.866598, Average Loss  0.871046, Time  0.236465
2021-09-22 11:05:28.748106 : Epoch  5, Batch    404, Loss  0.871628, Average Loss  0.871082, Time  0.236902
2021-09-22 11:05:31.386478 : Epoch  5, Batch    405, Loss  0.870060, Average Loss  0.871051, Time  0.236248
2021-09-22 11:05:34.022018 : Epoch  5, Batch    406, Loss  0.887299, Average Loss  0.871212, Time  0.239113
2021-09-22 11:05:36.663373 : Epoch  5, Batch    407, Loss  0.877237, Average Loss  0.871316, Time  0.235743
2021-09-22 11:05:39.296837 : Epoch  5, Batch    408, Loss  0.858429, Average Loss  0.871364, Time  0.236427
2021-09-22 11:05:41.929649 : Epoch  5, Batch    409, Loss  0.892306, Average Loss  0.871442, Time  0.235594
2021-09-22 11:05:44.568888 : Epoch  5, Batch    410, Loss  0.876202, Average Loss  0.871473, Time  0.236100
2021-09-22 11:05:47.213844 : Epoch  5, Batch    411, Loss  0.870175, Average Loss  0.871324, Time  0.236096
2021-09-22 11:05:49.852884 : Epoch  5, Batch    412, Loss  0.868954, Average Loss  0.871271, Time  0.236818
2021-09-22 11:05:52.497423 : Epoch  5, Batch    413, Loss  0.884618, Average Loss  0.871423, Time  0.236674
2021-09-22 11:05:55.144250 : Epoch  5, Batch    414, Loss  0.861748, Average Loss  0.871494, Time  0.237203
2021-09-22 11:05:57.778429 : Epoch  5, Batch    415, Loss  0.878636, Average Loss  0.871552, Time  0.236698
2021-09-22 11:06:00.423501 : Epoch  5, Batch    416, Loss  0.864659, Average Loss  0.871588, Time  0.237075
2021-09-22 11:06:03.069841 : Epoch  5, Batch    417, Loss  0.866846, Average Loss  0.871553, Time  0.236882
2021-09-22 11:06:05.728853 : Epoch  5, Batch    418, Loss  0.866002, Average Loss  0.871580, Time  0.236873
2021-09-22 11:06:08.411678 : Epoch  5, Batch    419, Loss  0.870636, Average Loss  0.871564, Time  0.237167
2021-09-22 11:06:11.062101 : Epoch  5, Batch    420, Loss  0.885314, Average Loss  0.871646, Time  0.236655
2021-09-22 11:06:13.693821 : Epoch  5, Batch    421, Loss  0.852910, Average Loss  0.871487, Time  0.236411
2021-09-22 11:06:16.365107 : Epoch  5, Batch    422, Loss  0.879604, Average Loss  0.871595, Time  0.236369
2021-09-22 11:06:19.019252 : Epoch  5, Batch    423, Loss  0.876907, Average Loss  0.871582, Time  0.235902
2021-09-22 11:06:21.672401 : Epoch  5, Batch    424, Loss  0.872047, Average Loss  0.871650, Time  0.237019
2021-09-22 11:06:24.320878 : Epoch  5, Batch    425, Loss  0.891870, Average Loss  0.871757, Time  0.236481
2021-09-22 11:06:26.973742 : Epoch  5, Batch    426, Loss  0.880244, Average Loss  0.871802, Time  0.236492
2021-09-22 11:06:29.616057 : Epoch  5, Batch    427, Loss  0.858219, Average Loss  0.871837, Time  0.236779
2021-09-22 11:06:32.263901 : Epoch  5, Batch    428, Loss  0.867368, Average Loss  0.871802, Time  0.236759
2021-09-22 11:06:34.905904 : Epoch  5, Batch    429, Loss  0.846167, Average Loss  0.871649, Time  0.236899
2021-09-22 11:06:37.549665 : Epoch  5, Batch    430, Loss  0.859035, Average Loss  0.871690, Time  0.236778
2021-09-22 11:06:40.202088 : Epoch  5, Batch    431, Loss  0.875874, Average Loss  0.871627, Time  0.235601
2021-09-22 11:06:42.834848 : Epoch  5, Batch    432, Loss  0.860581, Average Loss  0.871494, Time  0.236282
2021-09-22 11:06:45.468406 : Epoch  5, Batch    433, Loss  0.873234, Average Loss  0.871494, Time  0.235996
2021-09-22 11:06:48.130054 : Epoch  5, Batch    434, Loss  0.865150, Average Loss  0.871393, Time  0.236268
2021-09-22 11:06:50.778061 : Epoch  5, Batch    435, Loss  0.882936, Average Loss  0.871550, Time  0.236399
2021-09-22 11:06:53.406647 : Epoch  5, Batch    436, Loss  0.853842, Average Loss  0.871479, Time  0.235944
2021-09-22 11:06:56.057881 : Epoch  5, Batch    437, Loss  0.859096, Average Loss  0.871431, Time  0.237496
2021-09-22 11:06:58.703937 : Epoch  5, Batch    438, Loss  0.871588, Average Loss  0.871403, Time  0.236875
2021-09-22 11:07:01.347746 : Epoch  5, Batch    439, Loss  0.896036, Average Loss  0.871556, Time  0.237191
2021-09-22 11:07:03.986188 : Epoch  5, Batch    440, Loss  0.872079, Average Loss  0.871514, Time  0.236290
2021-09-22 11:07:06.639242 : Epoch  5, Batch    441, Loss  0.884605, Average Loss  0.871549, Time  0.236663
2021-09-22 11:07:09.275058 : Epoch  5, Batch    442, Loss  0.849695, Average Loss  0.871528, Time  0.237246
2021-09-22 11:07:11.931260 : Epoch  5, Batch    443, Loss  0.869550, Average Loss  0.871512, Time  0.236554
2021-09-22 11:07:14.586832 : Epoch  5, Batch    444, Loss  0.841332, Average Loss  0.871306, Time  0.236606
2021-09-22 11:07:17.243832 : Epoch  5, Batch    445, Loss  0.863590, Average Loss  0.871244, Time  0.236922
2021-09-22 11:07:19.898635 : Epoch  5, Batch    446, Loss  0.848699, Average Loss  0.871167, Time  0.236450
2021-09-22 11:07:22.556333 : Epoch  5, Batch    447, Loss  0.887475, Average Loss  0.871240, Time  0.236322
2021-09-22 11:07:25.190611 : Epoch  5, Batch    448, Loss  0.867049, Average Loss  0.871137, Time  0.236110
2021-09-22 11:07:27.828465 : Epoch  5, Batch    449, Loss  0.859101, Average Loss  0.871054, Time  0.236248
2021-09-22 11:07:30.476217 : Epoch  5, Batch    450, Loss  0.877648, Average Loss  0.871131, Time  0.235755
2021-09-22 11:07:33.121036 : Epoch  5, Batch    451, Loss  0.841776, Average Loss  0.870958, Time  0.235972
2021-09-22 11:07:35.755013 : Epoch  5, Batch    452, Loss  0.882000, Average Loss  0.870956, Time  0.236331
2021-09-22 11:07:38.394445 : Epoch  5, Batch    453, Loss  0.882057, Average Loss  0.871099, Time  0.236615
2021-09-22 11:07:41.046087 : Epoch  5, Batch    454, Loss  0.883672, Average Loss  0.871264, Time  0.237206
2021-09-22 11:07:43.683369 : Epoch  5, Batch    455, Loss  0.875534, Average Loss  0.871310, Time  0.236481
2021-09-22 11:07:46.316653 : Epoch  5, Batch    456, Loss  0.855757, Average Loss  0.871178, Time  0.235694
2021-09-22 11:07:48.989386 : Epoch  5, Batch    457, Loss  0.878660, Average Loss  0.871207, Time  0.235936
2021-09-22 11:07:51.629671 : Epoch  5, Batch    458, Loss  0.869261, Average Loss  0.871156, Time  0.236660
2021-09-22 11:07:54.276370 : Epoch  5, Batch    459, Loss  0.844144, Average Loss  0.871092, Time  0.235795
2021-09-22 11:07:56.919439 : Epoch  5, Batch    460, Loss  0.840666, Average Loss  0.870900, Time  0.237388
2021-09-22 11:07:59.561031 : Epoch  5, Batch    461, Loss  0.874992, Average Loss  0.870907, Time  0.236311
2021-09-22 11:08:02.211918 : Epoch  5, Batch    462, Loss  0.865573, Average Loss  0.870938, Time  0.236795
2021-09-22 11:08:04.863906 : Epoch  5, Batch    463, Loss  0.864035, Average Loss  0.870793, Time  0.236492
2021-09-22 11:08:07.501405 : Epoch  5, Batch    464, Loss  0.858187, Average Loss  0.870827, Time  0.236254
2021-09-22 11:08:10.149171 : Epoch  5, Batch    465, Loss  0.876758, Average Loss  0.870771, Time  0.237894
2021-09-22 11:08:12.805337 : Epoch  5, Batch    466, Loss  0.876945, Average Loss  0.870795, Time  0.237558
2021-09-22 11:08:15.487962 : Epoch  5, Batch    467, Loss  0.877316, Average Loss  0.870756, Time  0.235853
2021-09-22 11:08:18.144098 : Epoch  5, Batch    468, Loss  0.871635, Average Loss  0.870711, Time  0.236766
2021-09-22 11:08:20.787641 : Epoch  5, Batch    469, Loss  0.878774, Average Loss  0.870719, Time  0.236209
2021-09-22 11:08:23.436426 : Epoch  5, Batch    470, Loss  0.879617, Average Loss  0.870793, Time  0.236868
2021-09-22 11:08:26.087105 : Epoch  5, Batch    471, Loss  0.876354, Average Loss  0.870874, Time  0.236557
2021-09-22 11:08:28.744125 : Epoch  5, Batch    472, Loss  0.856262, Average Loss  0.870844, Time  0.236172
2021-09-22 11:08:31.385654 : Epoch  5, Batch    473, Loss  0.880732, Average Loss  0.870979, Time  0.236188
2021-09-22 11:08:34.067858 : Epoch  5, Batch    474, Loss  0.872614, Average Loss  0.871013, Time  0.236321
2021-09-22 11:08:36.700400 : Epoch  5, Batch    475, Loss  0.864113, Average Loss  0.870996, Time  0.236293
2021-09-22 11:08:39.350923 : Epoch  5, Batch    476, Loss  0.890849, Average Loss  0.871084, Time  0.236290
2021-09-22 11:12:49.139757 : CheckPoint: Validation Loss  0.00030081, Best Loss  0.00029452
2021-09-22 11:12:51.825938 : Epoch  5, Batch    477, Loss  0.893486, Average Loss  0.871108, Time  0.264802
2021-09-22 11:12:54.475138 : Epoch  5, Batch    478, Loss  0.869917, Average Loss  0.871137, Time  0.239960
2021-09-22 11:12:57.122288 : Epoch  5, Batch    479, Loss  0.876498, Average Loss  0.871221, Time  0.236493
2021-09-22 11:12:59.787080 : Epoch  5, Batch    480, Loss  0.877471, Average Loss  0.871153, Time  0.237266
2021-09-22 11:13:02.435925 : Epoch  5, Batch    481, Loss  0.865343, Average Loss  0.871105, Time  0.236572
2021-09-22 11:13:05.092122 : Epoch  5, Batch    482, Loss  0.874730, Average Loss  0.871104, Time  0.236574
2021-09-22 11:13:07.737967 : Epoch  5, Batch    483, Loss  0.841429, Average Loss  0.870940, Time  0.236428
2021-09-22 11:13:10.369424 : Epoch  5, Batch    484, Loss  0.885271, Average Loss  0.871060, Time  0.236639
2021-09-22 11:13:13.010339 : Epoch  5, Batch    485, Loss  0.877982, Average Loss  0.870998, Time  0.235660
2021-09-22 11:13:15.663263 : Epoch  5, Batch    486, Loss  0.863903, Average Loss  0.870940, Time  0.237206
2021-09-22 11:13:18.309929 : Epoch  5, Batch    487, Loss  0.866258, Average Loss  0.870890, Time  0.238137
2021-09-22 11:13:20.959421 : Epoch  5, Batch    488, Loss  0.845473, Average Loss  0.870680, Time  0.238759
2021-09-22 11:13:23.596282 : Epoch  5, Batch    489, Loss  0.867743, Average Loss  0.870583, Time  0.235887
2021-09-22 11:13:26.236061 : Epoch  5, Batch    490, Loss  0.881885, Average Loss  0.870645, Time  0.236734
2021-09-22 11:13:28.876297 : Epoch  5, Batch    491, Loss  0.863262, Average Loss  0.870516, Time  0.236413
2021-09-22 11:13:31.519189 : Epoch  5, Batch    492, Loss  0.866283, Average Loss  0.870438, Time  0.236641
2021-09-22 11:13:34.169843 : Epoch  5, Batch    493, Loss  0.874195, Average Loss  0.870476, Time  0.236626
2021-09-22 11:13:36.815000 : Epoch  5, Batch    494, Loss  0.849415, Average Loss  0.870374, Time  0.235687
2021-09-22 11:13:39.472870 : Epoch  5, Batch    495, Loss  0.869255, Average Loss  0.870372, Time  0.236411
2021-09-22 11:13:42.121241 : Epoch  5, Batch    496, Loss  0.853360, Average Loss  0.870380, Time  0.236896
2021-09-22 11:13:44.780937 : Epoch  5, Batch    497, Loss  0.873576, Average Loss  0.870342, Time  0.239560
2021-09-22 11:13:47.455418 : Epoch  5, Batch    498, Loss  0.863180, Average Loss  0.870217, Time  0.236335
2021-09-22 11:13:50.096886 : Epoch  5, Batch    499, Loss  0.877037, Average Loss  0.870268, Time  0.237065
2021-09-22 11:13:52.744071 : Epoch  5, Batch    500, Loss  0.896437, Average Loss  0.870381, Time  0.237624
2021-09-22 11:13:55.396951 : Epoch  5, Batch    501, Loss  0.866156, Average Loss  0.870313, Time  0.236410
2021-09-22 11:13:58.023978 : Epoch  5, Batch    502, Loss  0.859648, Average Loss  0.870335, Time  0.236644
2021-09-22 11:14:00.666749 : Epoch  5, Batch    503, Loss  0.869805, Average Loss  0.870350, Time  0.236163
2021-09-22 11:14:03.303981 : Epoch  5, Batch    504, Loss  0.882368, Average Loss  0.870467, Time  0.236200
2021-09-22 11:14:05.948838 : Epoch  5, Batch    505, Loss  0.867375, Average Loss  0.870353, Time  0.236201
2021-09-22 11:14:08.597398 : Epoch  5, Batch    506, Loss  0.873955, Average Loss  0.870365, Time  0.236286
2021-09-22 11:14:11.251897 : Epoch  5, Batch    507, Loss  0.871316, Average Loss  0.870371, Time  0.235583
2021-09-22 11:14:13.928990 : Epoch  5, Batch    508, Loss  0.880474, Average Loss  0.870374, Time  0.236560
2021-09-22 11:14:16.568081 : Epoch  5, Batch    509, Loss  0.882196, Average Loss  0.870462, Time  0.236028
2021-09-22 11:14:19.205878 : Epoch  5, Batch    510, Loss  0.850880, Average Loss  0.870456, Time  0.236519
2021-09-22 11:14:21.852336 : Epoch  5, Batch    511, Loss  0.873862, Average Loss  0.870407, Time  0.235992
2021-09-22 11:14:24.480851 : Epoch  5, Batch    512, Loss  0.870013, Average Loss  0.870406, Time  0.236163
2021-09-22 11:14:27.096462 : Epoch  5, Batch    513, Loss  0.880895, Average Loss  0.870432, Time  0.235956
2021-09-22 11:14:29.718389 : Epoch  5, Batch    514, Loss  0.874615, Average Loss  0.870319, Time  0.235812
2021-09-22 11:14:32.346616 : Epoch  5, Batch    515, Loss  0.886652, Average Loss  0.870315, Time  0.236915
2021-09-22 11:14:34.992019 : Epoch  5, Batch    516, Loss  0.859978, Average Loss  0.870287, Time  0.236329
2021-09-22 11:14:37.636882 : Epoch  5, Batch    517, Loss  0.879645, Average Loss  0.870296, Time  0.236415
2021-09-22 11:14:40.302885 : Epoch  5, Batch    518, Loss  0.875479, Average Loss  0.870253, Time  0.236700
2021-09-22 11:14:42.943240 : Epoch  5, Batch    519, Loss  0.882086, Average Loss  0.870252, Time  0.235993
2021-09-22 11:14:45.597054 : Epoch  5, Batch    520, Loss  0.872248, Average Loss  0.870321, Time  0.236584
2021-09-22 11:14:48.320566 : Epoch  5, Batch    521, Loss  0.878001, Average Loss  0.870393, Time  0.252503
2021-09-22 11:14:50.981930 : Epoch  5, Batch    522, Loss  0.873423, Average Loss  0.870466, Time  0.237977
2021-09-22 11:14:53.648959 : Epoch  5, Batch    523, Loss  0.866544, Average Loss  0.870470, Time  0.236500
2021-09-22 11:14:56.290280 : Epoch  5, Batch    524, Loss  0.870633, Average Loss  0.870521, Time  0.236702
2021-09-22 11:14:58.933198 : Epoch  5, Batch    525, Loss  0.884638, Average Loss  0.870673, Time  0.236344
2021-09-22 11:15:01.579286 : Epoch  5, Batch    526, Loss  0.861921, Average Loss  0.870562, Time  0.237581
2021-09-22 11:15:04.218341 : Epoch  5, Batch    527, Loss  0.905796, Average Loss  0.870622, Time  0.236087
2021-09-22 11:15:06.865395 : Epoch  5, Batch    528, Loss  0.842082, Average Loss  0.870382, Time  0.235855
2021-09-22 11:15:09.548421 : Epoch  5, Batch    529, Loss  0.867331, Average Loss  0.870355, Time  0.236184
2021-09-22 11:15:12.191066 : Epoch  5, Batch    530, Loss  0.873809, Average Loss  0.870359, Time  0.236454
2021-09-22 11:15:14.828385 : Epoch  5, Batch    531, Loss  0.868405, Average Loss  0.870299, Time  0.235929
2021-09-22 11:15:17.464414 : Epoch  5, Batch    532, Loss  0.847606, Average Loss  0.870096, Time  0.235912
2021-09-22 11:15:20.173034 : Epoch  5, Batch    533, Loss  0.886103, Average Loss  0.870198, Time  0.236269
2021-09-22 11:15:22.813373 : Epoch  5, Batch    534, Loss  0.870791, Average Loss  0.870298, Time  0.236431
2021-09-22 11:15:25.447171 : Epoch  5, Batch    535, Loss  0.862284, Average Loss  0.870327, Time  0.236226
2021-09-22 11:15:28.089691 : Epoch  5, Batch    536, Loss  0.843543, Average Loss  0.870185, Time  0.236391
2021-09-22 11:15:30.732855 : Epoch  5, Batch    537, Loss  0.888169, Average Loss  0.870212, Time  0.236710
2021-09-22 11:15:33.374926 : Epoch  5, Batch    538, Loss  0.871560, Average Loss  0.870313, Time  0.236719
2021-09-22 11:15:36.022159 : Epoch  5, Batch    539, Loss  0.858275, Average Loss  0.870255, Time  0.236570
2021-09-22 11:15:38.673379 : Epoch  5, Batch    540, Loss  0.868642, Average Loss  0.870209, Time  0.235759
2021-09-22 11:15:41.323158 : Epoch  5, Batch    541, Loss  0.879918, Average Loss  0.870330, Time  0.236814
2021-09-22 11:15:43.967446 : Epoch  5, Batch    542, Loss  0.884539, Average Loss  0.870478, Time  0.236102
2021-09-22 11:15:46.636162 : Epoch  5, Batch    543, Loss  0.872187, Average Loss  0.870538, Time  0.237098
2021-09-22 11:15:49.276419 : Epoch  5, Batch    544, Loss  0.877418, Average Loss  0.870618, Time  0.236933
2021-09-22 11:15:51.917047 : Epoch  5, Batch    545, Loss  0.879976, Average Loss  0.870690, Time  0.237653
2021-09-22 11:15:54.568682 : Epoch  5, Batch    546, Loss  0.869184, Average Loss  0.870582, Time  0.237007
2021-09-22 11:15:57.213817 : Epoch  5, Batch    547, Loss  0.861547, Average Loss  0.870517, Time  0.237133
2021-09-22 11:15:59.853423 : Epoch  5, Batch    548, Loss  0.865490, Average Loss  0.870439, Time  0.237127
2021-09-22 11:16:02.500019 : Epoch  5, Batch    549, Loss  0.849460, Average Loss  0.870339, Time  0.236150
2021-09-22 11:16:05.149972 : Epoch  5, Batch    550, Loss  0.872127, Average Loss  0.870301, Time  0.236978
2021-09-22 11:16:07.804390 : Epoch  5, Batch    551, Loss  0.871034, Average Loss  0.870318, Time  0.236574
2021-09-22 11:16:10.445187 : Epoch  5, Batch    552, Loss  0.857788, Average Loss  0.870216, Time  0.237001
2021-09-22 11:16:13.090906 : Epoch  5, Batch    553, Loss  0.823596, Average Loss  0.870073, Time  0.235525
2021-09-22 11:16:15.732550 : Epoch  5, Batch    554, Loss  0.877240, Average Loss  0.870121, Time  0.236823
2021-09-22 11:16:18.381014 : Epoch  5, Batch    555, Loss  0.867385, Average Loss  0.870068, Time  0.236102
2021-09-22 11:16:21.016958 : Epoch  5, Batch    556, Loss  0.846186, Average Loss  0.870016, Time  0.237566
2021-09-22 11:16:23.659925 : Epoch  5, Batch    557, Loss  0.875209, Average Loss  0.869954, Time  0.236115
2021-09-22 11:16:26.299488 : Epoch  5, Batch    558, Loss  0.880238, Average Loss  0.870015, Time  0.236588
2021-09-22 11:16:28.936398 : Epoch  5, Batch    559, Loss  0.881316, Average Loss  0.870000, Time  0.236284
2021-09-22 11:16:31.582987 : Epoch  5, Batch    560, Loss  0.862306, Average Loss  0.870025, Time  0.236802
2021-09-22 11:16:34.223061 : Epoch  5, Batch    561, Loss  0.863343, Average Loss  0.870017, Time  0.235500
2021-09-22 11:16:36.861546 : Epoch  5, Batch    562, Loss  0.883394, Average Loss  0.870056, Time  0.236656
2021-09-22 11:16:39.508424 : Epoch  5, Batch    563, Loss  0.865413, Average Loss  0.870097, Time  0.235994
2021-09-22 11:16:42.156958 : Epoch  5, Batch    564, Loss  0.869577, Average Loss  0.870043, Time  0.237128
2021-09-22 11:16:44.802144 : Epoch  5, Batch    565, Loss  0.871406, Average Loss  0.869977, Time  0.235705
2021-09-22 11:16:47.437309 : Epoch  5, Batch    566, Loss  0.869922, Average Loss  0.870013, Time  0.236134
2021-09-22 11:16:50.081673 : Epoch  5, Batch    567, Loss  0.846428, Average Loss  0.869839, Time  0.235682
2021-09-22 11:16:52.722779 : Epoch  5, Batch    568, Loss  0.850093, Average Loss  0.869820, Time  0.237377
2021-09-22 11:16:55.362092 : Epoch  5, Batch    569, Loss  0.877919, Average Loss  0.869776, Time  0.235797
2021-09-22 11:16:58.017501 : Epoch  5, Batch    570, Loss  0.873243, Average Loss  0.869864, Time  0.237197
2021-09-22 11:17:00.668425 : Epoch  5, Batch    571, Loss  0.874341, Average Loss  0.869859, Time  0.236645
2021-09-22 11:17:03.315867 : Epoch  5, Batch    572, Loss  0.894554, Average Loss  0.869984, Time  0.237196
2021-09-22 11:17:05.963366 : Epoch  5, Batch    573, Loss  0.849424, Average Loss  0.869815, Time  0.236083
2021-09-22 11:17:08.605914 : Epoch  5, Batch    574, Loss  0.879007, Average Loss  0.869998, Time  0.236598
2021-09-22 11:17:11.254812 : Epoch  5, Batch    575, Loss  0.901804, Average Loss  0.870139, Time  0.236609
2021-09-22 11:17:22.980002 : Epoch  5, Batch    576, Loss  0.883224, Average Loss  0.870171, Time  0.265407
2021-09-22 11:21:28.212741 : CheckPoint: Validation Loss  0.00029885, Best Loss  0.00029452
2021-09-22 11:21:30.859083 : Epoch  5, Batch    577, Loss  0.875355, Average Loss  0.870119, Time  0.264268
2021-09-22 11:21:33.477003 : Epoch  5, Batch    578, Loss  0.880751, Average Loss  0.870235, Time  0.240207
2021-09-22 11:21:36.099764 : Epoch  5, Batch    579, Loss  0.865935, Average Loss  0.870130, Time  0.235601
2021-09-22 11:21:38.772452 : Epoch  5, Batch    580, Loss  0.887768, Average Loss  0.870258, Time  0.236255
2021-09-22 11:21:41.417175 : Epoch  5, Batch    581, Loss  0.874119, Average Loss  0.870304, Time  0.236894
2021-09-22 11:21:44.037187 : Epoch  5, Batch    582, Loss  0.868033, Average Loss  0.870314, Time  0.235972
2021-09-22 11:21:46.726610 : Epoch  5, Batch    583, Loss  0.885897, Average Loss  0.870423, Time  0.237066
2021-09-22 11:21:49.359733 : Epoch  5, Batch    584, Loss  0.868664, Average Loss  0.870387, Time  0.237538
2021-09-22 11:21:52.000187 : Epoch  5, Batch    585, Loss  0.848676, Average Loss  0.870389, Time  0.238010
2021-09-22 11:21:54.637458 : Epoch  5, Batch    586, Loss  0.860243, Average Loss  0.870336, Time  0.236862
2021-09-22 11:21:57.264144 : Epoch  5, Batch    587, Loss  0.892454, Average Loss  0.870447, Time  0.235482
2021-09-22 11:21:59.901409 : Epoch  5, Batch    588, Loss  0.872200, Average Loss  0.870430, Time  0.236436
2021-09-22 11:22:02.549785 : Epoch  5, Batch    589, Loss  0.870462, Average Loss  0.870451, Time  0.237371
2021-09-22 11:22:05.184558 : Epoch  5, Batch    590, Loss  0.875960, Average Loss  0.870493, Time  0.236419
2021-09-22 11:22:07.799588 : Epoch  5, Batch    591, Loss  0.895709, Average Loss  0.870568, Time  0.235631
2021-09-22 11:22:10.442009 : Epoch  5, Batch    592, Loss  0.871847, Average Loss  0.870680, Time  0.236526
2021-09-22 11:22:13.065826 : Epoch  5, Batch    593, Loss  0.875180, Average Loss  0.870569, Time  0.235958
2021-09-22 11:22:15.700000 : Epoch  5, Batch    594, Loss  0.871700, Average Loss  0.870525, Time  0.236306
2021-09-22 11:22:18.326992 : Epoch  5, Batch    595, Loss  0.867609, Average Loss  0.870525, Time  0.236956
2021-09-22 11:22:20.967198 : Epoch  5, Batch    596, Loss  0.885634, Average Loss  0.870670, Time  0.237815
2021-09-22 11:22:23.577426 : Epoch  5, Batch    597, Loss  0.847146, Average Loss  0.870536, Time  0.236384
2021-09-22 11:22:26.197975 : Epoch  5, Batch    598, Loss  0.869934, Average Loss  0.870608, Time  0.237078
2021-09-22 11:22:28.827431 : Epoch  5, Batch    599, Loss  0.869814, Average Loss  0.870591, Time  0.236290
2021-09-22 11:22:31.465002 : Epoch  5, Batch    600, Loss  0.850065, Average Loss  0.870431, Time  0.236486
2021-09-22 11:22:34.081100 : Epoch  5, Batch    601, Loss  0.871184, Average Loss  0.870441, Time  0.235706
2021-09-22 11:22:36.695154 : Epoch  5, Batch    602, Loss  0.878940, Average Loss  0.870451, Time  0.236540
2021-09-22 11:22:39.332403 : Epoch  5, Batch    603, Loss  0.856028, Average Loss  0.870399, Time  0.236611
2021-09-22 11:22:41.954052 : Epoch  5, Batch    604, Loss  0.844223, Average Loss  0.870261, Time  0.236048
2021-09-22 11:22:44.582940 : Epoch  5, Batch    605, Loss  0.872865, Average Loss  0.870276, Time  0.235974
2021-09-22 11:22:47.198780 : Epoch  5, Batch    606, Loss  0.871328, Average Loss  0.870196, Time  0.236111
2021-09-22 11:22:49.813386 : Epoch  5, Batch    607, Loss  0.862805, Average Loss  0.870123, Time  0.235165
2021-09-22 11:22:52.428215 : Epoch  5, Batch    608, Loss  0.895878, Average Loss  0.870311, Time  0.236461
2021-09-22 11:22:55.039079 : Epoch  5, Batch    609, Loss  0.880825, Average Loss  0.870253, Time  0.235703
2021-09-22 11:22:57.654236 : Epoch  5, Batch    610, Loss  0.852758, Average Loss  0.870136, Time  0.236724
2021-09-22 11:23:00.286028 : Epoch  5, Batch    611, Loss  0.880627, Average Loss  0.870188, Time  0.236234
2021-09-22 11:23:02.936934 : Epoch  5, Batch    612, Loss  0.867342, Average Loss  0.870180, Time  0.235918
2021-09-22 11:23:05.581366 : Epoch  5, Batch    613, Loss  0.873477, Average Loss  0.870125, Time  0.235345
2021-09-22 11:23:08.212127 : Epoch  5, Batch    614, Loss  0.875817, Average Loss  0.870195, Time  0.236131
2021-09-22 11:23:10.851357 : Epoch  5, Batch    615, Loss  0.868117, Average Loss  0.870142, Time  0.236162
2021-09-22 11:23:13.485134 : Epoch  5, Batch    616, Loss  0.864942, Average Loss  0.870144, Time  0.236397
2021-09-22 11:23:16.115807 : Epoch  5, Batch    617, Loss  0.873367, Average Loss  0.870176, Time  0.237260
2021-09-22 11:23:18.741792 : Epoch  5, Batch    618, Loss  0.862075, Average Loss  0.870157, Time  0.236178
2021-09-22 11:23:21.351774 : Epoch  5, Batch    619, Loss  0.861090, Average Loss  0.870109, Time  0.235556
2021-09-22 11:23:23.975414 : Epoch  5, Batch    620, Loss  0.871826, Average Loss  0.870042, Time  0.235776
2021-09-22 11:23:26.601501 : Epoch  5, Batch    621, Loss  0.866049, Average Loss  0.870107, Time  0.236656
2021-09-22 11:23:29.221766 : Epoch  5, Batch    622, Loss  0.885541, Average Loss  0.870137, Time  0.235773
2021-09-22 11:23:31.848402 : Epoch  5, Batch    623, Loss  0.867285, Average Loss  0.870089, Time  0.235612
2021-09-22 11:23:34.473570 : Epoch  5, Batch    624, Loss  0.877415, Average Loss  0.870116, Time  0.236752
2021-09-22 11:23:37.093598 : Epoch  5, Batch    625, Loss  0.861993, Average Loss  0.869966, Time  0.235991
2021-09-22 11:23:39.715101 : Epoch  5, Batch    626, Loss  0.866266, Average Loss  0.869896, Time  0.236911
2021-09-22 11:23:42.342421 : Epoch  5, Batch    627, Loss  0.871432, Average Loss  0.869962, Time  0.235902
2021-09-22 11:23:44.996429 : Epoch  5, Batch    628, Loss  0.854382, Average Loss  0.869898, Time  0.236644
2021-09-22 11:23:47.624883 : Epoch  5, Batch    629, Loss  0.885312, Average Loss  0.870093, Time  0.236087
2021-09-22 11:23:50.242555 : Epoch  5, Batch    630, Loss  0.882000, Average Loss  0.870208, Time  0.235750
2021-09-22 11:23:52.868356 : Epoch  5, Batch    631, Loss  0.839542, Average Loss  0.870026, Time  0.235938
2021-09-22 11:23:55.506063 : Epoch  5, Batch    632, Loss  0.902494, Average Loss  0.870236, Time  0.236915
2021-09-22 11:23:58.146900 : Epoch  5, Batch    633, Loss  0.889815, Average Loss  0.870319, Time  0.236255
2021-09-22 11:24:00.785044 : Epoch  5, Batch    634, Loss  0.858279, Average Loss  0.870285, Time  0.236860
2021-09-22 11:24:03.427437 : Epoch  5, Batch    635, Loss  0.878422, Average Loss  0.870262, Time  0.237021
2021-09-22 11:24:06.046364 : Epoch  5, Batch    636, Loss  0.908294, Average Loss  0.870534, Time  0.236081
2021-09-22 11:24:08.674448 : Epoch  5, Batch    637, Loss  0.868911, Average Loss  0.870583, Time  0.235859
2021-09-22 11:24:11.310970 : Epoch  5, Batch    638, Loss  0.860882, Average Loss  0.870530, Time  0.236714
2021-09-22 11:24:13.950899 : Epoch  5, Batch    639, Loss  0.869886, Average Loss  0.870399, Time  0.235950
2021-09-22 11:24:16.579562 : Epoch  5, Batch    640, Loss  0.855898, Average Loss  0.870318, Time  0.235913
2021-09-22 11:24:19.210014 : Epoch  5, Batch    641, Loss  0.859978, Average Loss  0.870195, Time  0.236172
2021-09-22 11:24:21.833114 : Epoch  5, Batch    642, Loss  0.886622, Average Loss  0.870380, Time  0.236041
2021-09-22 11:24:24.464148 : Epoch  5, Batch    643, Loss  0.860412, Average Loss  0.870334, Time  0.235858
2021-09-22 11:24:27.093788 : Epoch  5, Batch    644, Loss  0.874086, Average Loss  0.870498, Time  0.236244
2021-09-22 11:24:29.730419 : Epoch  5, Batch    645, Loss  0.851327, Average Loss  0.870436, Time  0.235767
2021-09-22 11:24:32.397247 : Epoch  5, Batch    646, Loss  0.875227, Average Loss  0.870569, Time  0.237425
2021-09-22 11:24:35.017383 : Epoch  5, Batch    647, Loss  0.847545, Average Loss  0.870369, Time  0.235752
2021-09-22 11:24:37.630978 : Epoch  5, Batch    648, Loss  0.882372, Average Loss  0.870446, Time  0.235806
2021-09-22 11:24:40.273148 : Epoch  5, Batch    649, Loss  0.857538, Average Loss  0.870438, Time  0.235972
2021-09-22 11:24:42.900859 : Epoch  5, Batch    650, Loss  0.859131, Average Loss  0.870346, Time  0.236026
2021-09-22 11:24:45.507535 : Epoch  5, Batch    651, Loss  0.877388, Average Loss  0.870524, Time  0.235686
2021-09-22 11:24:48.138939 : Epoch  5, Batch    652, Loss  0.871055, Average Loss  0.870469, Time  0.237218
2021-09-22 11:24:50.852611 : Epoch  5, Batch    653, Loss  0.878871, Average Loss  0.870453, Time  0.235912
2021-09-22 11:24:53.479570 : Epoch  5, Batch    654, Loss  0.855586, Average Loss  0.870313, Time  0.236000
2021-09-22 11:24:56.098410 : Epoch  5, Batch    655, Loss  0.879531, Average Loss  0.870333, Time  0.236808
2021-09-22 11:24:58.744620 : Epoch  5, Batch    656, Loss  0.866025, Average Loss  0.870384, Time  0.238752
2021-09-22 11:25:01.367578 : Epoch  5, Batch    657, Loss  0.866248, Average Loss  0.870322, Time  0.236544
2021-09-22 11:25:03.994429 : Epoch  5, Batch    658, Loss  0.878027, Average Loss  0.870366, Time  0.237209
2021-09-22 11:25:06.603183 : Epoch  5, Batch    659, Loss  0.878779, Average Loss  0.870539, Time  0.237003
2021-09-22 11:25:09.220219 : Epoch  5, Batch    660, Loss  0.877876, Average Loss  0.870725, Time  0.236286
2021-09-22 11:25:11.859118 : Epoch  5, Batch    661, Loss  0.844839, Average Loss  0.870574, Time  0.236193
2021-09-22 11:25:14.483816 : Epoch  5, Batch    662, Loss  0.860151, Average Loss  0.870547, Time  0.235987
2021-09-22 11:25:17.094797 : Epoch  5, Batch    663, Loss  0.870403, Average Loss  0.870579, Time  0.235674
2021-09-22 11:25:19.704579 : Epoch  5, Batch    664, Loss  0.887675, Average Loss  0.870726, Time  0.235900
2021-09-22 11:25:22.328358 : Epoch  5, Batch    665, Loss  0.871346, Average Loss  0.870699, Time  0.236465
2021-09-22 11:25:24.999404 : Epoch  5, Batch    666, Loss  0.841534, Average Loss  0.870522, Time  0.237125
2021-09-22 11:25:27.629514 : Epoch  5, Batch    667, Loss  0.869528, Average Loss  0.870483, Time  0.236446
2021-09-22 11:25:30.254422 : Epoch  5, Batch    668, Loss  0.877317, Average Loss  0.870512, Time  0.235852
2021-09-22 11:25:32.880067 : Epoch  5, Batch    669, Loss  0.886807, Average Loss  0.870552, Time  0.235900
2021-09-22 11:25:35.501968 : Epoch  5, Batch    670, Loss  0.881723, Average Loss  0.870562, Time  0.235864
2021-09-22 11:25:38.121129 : Epoch  5, Batch    671, Loss  0.858791, Average Loss  0.870475, Time  0.235762
2021-09-22 11:25:40.750332 : Epoch  5, Batch    672, Loss  0.902715, Average Loss  0.870707, Time  0.236467
2021-09-22 11:25:43.404005 : Epoch  5, Batch    673, Loss  0.897194, Average Loss  0.870789, Time  0.236178
2021-09-22 11:25:46.027088 : Epoch  5, Batch    674, Loss  0.878153, Average Loss  0.870817, Time  0.237186
2021-09-22 11:25:48.641853 : Epoch  5, Batch    675, Loss  0.863994, Average Loss  0.870816, Time  0.235615
2021-09-22 11:25:51.263915 : Epoch  5, Batch    676, Loss  0.858583, Average Loss  0.870655, Time  0.236311
2021-09-22 11:29:59.191673 : CheckPoint: Validation Loss  0.00030605, Best Loss  0.00029452
2021-09-22 11:30:01.889963 : Epoch  5, Batch    677, Loss  0.862734, Average Loss  0.870501, Time  0.287347
2021-09-22 11:30:04.547911 : Epoch  5, Batch    678, Loss  0.903862, Average Loss  0.870671, Time  0.238370
2021-09-22 11:30:07.182494 : Epoch  5, Batch    679, Loss  0.873125, Average Loss  0.870654, Time  0.235712
2021-09-22 11:30:09.815172 : Epoch  5, Batch    680, Loss  0.863322, Average Loss  0.870583, Time  0.236781
2021-09-22 11:30:12.444659 : Epoch  5, Batch    681, Loss  0.871196, Average Loss  0.870612, Time  0.236157
2021-09-22 11:30:15.088823 : Epoch  5, Batch    682, Loss  0.860958, Average Loss  0.870544, Time  0.236382
2021-09-22 11:30:17.735451 : Epoch  5, Batch    683, Loss  0.847527, Average Loss  0.870574, Time  0.238049
2021-09-22 11:30:20.385460 : Epoch  5, Batch    684, Loss  0.873013, Average Loss  0.870513, Time  0.236546
2021-09-22 11:30:23.024794 : Epoch  5, Batch    685, Loss  0.847805, Average Loss  0.870362, Time  0.236257
2021-09-22 11:30:25.665404 : Epoch  5, Batch    686, Loss  0.873097, Average Loss  0.870408, Time  0.237092
2021-09-22 11:30:28.374460 : Epoch  5, Batch    687, Loss  0.876913, Average Loss  0.870461, Time  0.238186
2021-09-22 11:30:31.034172 : Epoch  5, Batch    688, Loss  0.866782, Average Loss  0.870568, Time  0.236485
2021-09-22 11:30:33.698967 : Epoch  5, Batch    689, Loss  0.874496, Average Loss  0.870601, Time  0.236470
2021-09-22 11:30:36.336037 : Epoch  5, Batch    690, Loss  0.894591, Average Loss  0.870665, Time  0.235849
2021-09-22 11:30:38.976958 : Epoch  5, Batch    691, Loss  0.838523, Average Loss  0.870541, Time  0.237031
2021-09-22 11:30:41.614895 : Epoch  5, Batch    692, Loss  0.874243, Average Loss  0.870581, Time  0.236430
2021-09-22 11:30:44.274117 : Epoch  5, Batch    693, Loss  0.865334, Average Loss  0.870537, Time  0.237972
2021-09-22 11:30:46.894896 : Epoch  5, Batch    694, Loss  0.867830, Average Loss  0.870629, Time  0.236662
2021-09-22 11:30:49.540437 : Epoch  5, Batch    695, Loss  0.880674, Average Loss  0.870686, Time  0.235947
2021-09-22 11:30:52.172816 : Epoch  5, Batch    696, Loss  0.879942, Average Loss  0.870819, Time  0.236265
2021-09-22 11:30:54.866036 : Epoch  5, Batch    697, Loss  0.858329, Average Loss  0.870743, Time  0.236081
2021-09-22 11:30:57.506889 : Epoch  5, Batch    698, Loss  0.871236, Average Loss  0.870783, Time  0.236291
2021-09-22 11:31:00.146452 : Epoch  5, Batch    699, Loss  0.867143, Average Loss  0.870733, Time  0.235696
2021-09-22 11:31:02.777307 : Epoch  5, Batch    700, Loss  0.879586, Average Loss  0.870649, Time  0.236277
2021-09-22 11:31:05.410995 : Epoch  5, Batch    701, Loss  0.880763, Average Loss  0.870722, Time  0.236250
2021-09-22 11:31:08.053615 : Epoch  5, Batch    702, Loss  0.853370, Average Loss  0.870691, Time  0.237860
2021-09-22 11:31:10.745242 : Epoch  5, Batch    703, Loss  0.872212, Average Loss  0.870703, Time  0.237702
2021-09-22 11:31:13.387026 : Epoch  5, Batch    704, Loss  0.874111, Average Loss  0.870662, Time  0.236095
2021-09-22 11:31:16.021134 : Epoch  5, Batch    705, Loss  0.876810, Average Loss  0.870709, Time  0.235942
2021-09-22 11:31:18.662964 : Epoch  5, Batch    706, Loss  0.889393, Average Loss  0.870786, Time  0.237992
2021-09-22 11:31:21.295838 : Epoch  5, Batch    707, Loss  0.864872, Average Loss  0.870754, Time  0.237471
2021-09-22 11:31:23.928991 : Epoch  5, Batch    708, Loss  0.862071, Average Loss  0.870662, Time  0.236825
2021-09-22 11:31:26.563553 : Epoch  5, Batch    709, Loss  0.861624, Average Loss  0.870559, Time  0.235703
2021-09-22 11:31:29.185559 : Epoch  5, Batch    710, Loss  0.866915, Average Loss  0.870639, Time  0.236214
2021-09-22 11:31:31.819979 : Epoch  5, Batch    711, Loss  0.860758, Average Loss  0.870574, Time  0.236577
2021-09-22 11:31:34.452092 : Epoch  5, Batch    712, Loss  0.882905, Average Loss  0.870638, Time  0.236291
2021-09-22 11:31:37.078416 : Epoch  5, Batch    713, Loss  0.855864, Average Loss  0.870513, Time  0.236442
2021-09-22 11:31:39.737920 : Epoch  5, Batch    714, Loss  0.866445, Average Loss  0.870472, Time  0.238611
2021-09-22 11:31:42.426438 : Epoch  5, Batch    715, Loss  0.871698, Average Loss  0.870397, Time  0.236394
2021-09-22 11:31:45.076181 : Epoch  5, Batch    716, Loss  0.866661, Average Loss  0.870431, Time  0.236332
2021-09-22 11:31:47.726985 : Epoch  5, Batch    717, Loss  0.903696, Average Loss  0.870551, Time  0.235945
2021-09-22 11:31:50.363245 : Epoch  5, Batch    718, Loss  0.853696, Average Loss  0.870442, Time  0.236159
2021-09-22 11:31:53.003222 : Epoch  5, Batch    719, Loss  0.863680, Average Loss  0.870350, Time  0.236629
2021-09-22 11:31:55.641821 : Epoch  5, Batch    720, Loss  0.865060, Average Loss  0.870314, Time  0.237412
2021-09-22 11:31:58.272988 : Epoch  5, Batch    721, Loss  0.853656, Average Loss  0.870192, Time  0.236365
2021-09-22 11:32:00.907554 : Epoch  5, Batch    722, Loss  0.871103, Average Loss  0.870181, Time  0.235821
2021-09-22 11:32:03.540908 : Epoch  5, Batch    723, Loss  0.876660, Average Loss  0.870231, Time  0.235646
2021-09-22 11:32:06.172761 : Epoch  5, Batch    724, Loss  0.884585, Average Loss  0.870301, Time  0.235971
2021-09-22 11:32:08.798898 : Epoch  5, Batch    725, Loss  0.856158, Average Loss  0.870159, Time  0.235814
2021-09-22 11:32:11.419149 : Epoch  5, Batch    726, Loss  0.871223, Average Loss  0.870205, Time  0.235866
2021-09-22 11:32:14.055265 : Epoch  5, Batch    727, Loss  0.860129, Average Loss  0.869977, Time  0.236900
2021-09-22 11:32:16.702389 : Epoch  5, Batch    728, Loss  0.863385, Average Loss  0.870083, Time  0.236417
2021-09-22 11:32:19.336297 : Epoch  5, Batch    729, Loss  0.864117, Average Loss  0.870067, Time  0.235753
2021-09-22 11:32:21.979200 : Epoch  5, Batch    730, Loss  0.857207, Average Loss  0.869984, Time  0.236579
2021-09-22 11:32:24.606791 : Epoch  5, Batch    731, Loss  0.870517, Average Loss  0.869995, Time  0.235473
2021-09-22 11:32:27.233401 : Epoch  5, Batch    732, Loss  0.866086, Average Loss  0.870087, Time  0.236007
2021-09-22 11:32:29.860937 : Epoch  5, Batch    733, Loss  0.859151, Average Loss  0.869952, Time  0.235710
2021-09-22 11:32:32.487685 : Epoch  5, Batch    734, Loss  0.865030, Average Loss  0.869924, Time  0.235773
2021-09-22 11:32:35.108992 : Epoch  5, Batch    735, Loss  0.885148, Average Loss  0.870038, Time  0.235759
2021-09-22 11:32:37.740400 : Epoch  5, Batch    736, Loss  0.868469, Average Loss  0.870163, Time  0.236141
2021-09-22 11:32:40.369924 : Epoch  5, Batch    737, Loss  0.876752, Average Loss  0.870105, Time  0.236347
2021-09-22 11:32:43.000923 : Epoch  5, Batch    738, Loss  0.868802, Average Loss  0.870092, Time  0.236133
2021-09-22 11:32:45.634844 : Epoch  5, Batch    739, Loss  0.880645, Average Loss  0.870204, Time  0.236040
2021-09-22 11:32:48.260414 : Epoch  5, Batch    740, Loss  0.873737, Average Loss  0.870229, Time  0.235845
2021-09-22 11:32:50.900053 : Epoch  5, Batch    741, Loss  0.869831, Average Loss  0.870179, Time  0.235964
2021-09-22 11:32:53.536017 : Epoch  5, Batch    742, Loss  0.855497, Average Loss  0.870033, Time  0.236134
2021-09-22 11:32:56.172381 : Epoch  5, Batch    743, Loss  0.861419, Average Loss  0.869980, Time  0.235866
2021-09-22 11:32:58.811430 : Epoch  5, Batch    744, Loss  0.858802, Average Loss  0.869886, Time  0.236064
2021-09-22 11:33:01.467589 : Epoch  5, Batch    745, Loss  0.862229, Average Loss  0.869798, Time  0.235636
2021-09-22 11:33:04.150396 : Epoch  5, Batch    746, Loss  0.885542, Average Loss  0.869880, Time  0.235847
2021-09-22 11:33:06.772667 : Epoch  5, Batch    747, Loss  0.865462, Average Loss  0.869899, Time  0.235655
2021-09-22 11:33:09.392121 : Epoch  5, Batch    748, Loss  0.870544, Average Loss  0.869924, Time  0.235771
2021-09-22 11:33:12.022401 : Epoch  5, Batch    749, Loss  0.880318, Average Loss  0.870079, Time  0.235963
2021-09-22 11:33:14.695980 : Epoch  5, Batch    750, Loss  0.882389, Average Loss  0.870130, Time  0.238324
2021-09-22 11:33:17.323966 : Epoch  5, Batch    751, Loss  0.855629, Average Loss  0.870053, Time  0.236843
2021-09-22 11:33:19.968468 : Epoch  5, Batch    752, Loss  0.874128, Average Loss  0.870135, Time  0.238154
2021-09-22 11:33:22.616890 : Epoch  5, Batch    753, Loss  0.872552, Average Loss  0.870379, Time  0.236263
2021-09-22 11:33:25.242922 : Epoch  5, Batch    754, Loss  0.872203, Average Loss  0.870354, Time  0.236264
2021-09-22 11:33:27.874037 : Epoch  5, Batch    755, Loss  0.878793, Average Loss  0.870411, Time  0.236320
2021-09-22 11:33:30.511406 : Epoch  5, Batch    756, Loss  0.907036, Average Loss  0.870716, Time  0.236030
2021-09-22 11:33:33.189329 : Epoch  5, Batch    757, Loss  0.856836, Average Loss  0.870624, Time  0.235884
2021-09-22 11:33:35.826012 : Epoch  5, Batch    758, Loss  0.862574, Average Loss  0.870535, Time  0.236364
2021-09-22 11:33:38.455366 : Epoch  5, Batch    759, Loss  0.868046, Average Loss  0.870469, Time  0.235750
2021-09-22 11:33:41.107832 : Epoch  5, Batch    760, Loss  0.878187, Average Loss  0.870548, Time  0.237724
2021-09-22 11:33:43.724543 : Epoch  5, Batch    761, Loss  0.878120, Average Loss  0.870622, Time  0.235341
2021-09-22 11:33:46.357413 : Epoch  5, Batch    762, Loss  0.876031, Average Loss  0.870585, Time  0.236176
2021-09-22 11:33:48.987958 : Epoch  5, Batch    763, Loss  0.872478, Average Loss  0.870621, Time  0.235701
2021-09-22 11:33:51.613680 : Epoch  5, Batch    764, Loss  0.865055, Average Loss  0.870598, Time  0.236342
2021-09-22 11:33:54.240311 : Epoch  5, Batch    765, Loss  0.892322, Average Loss  0.870703, Time  0.235570
2021-09-22 11:33:56.880249 : Epoch  5, Batch    766, Loss  0.872292, Average Loss  0.870715, Time  0.236465
2021-09-22 11:33:59.524441 : Epoch  5, Batch    767, Loss  0.890164, Average Loss  0.870933, Time  0.235824
2021-09-22 11:34:02.169117 : Epoch  5, Batch    768, Loss  0.850422, Average Loss  0.870935, Time  0.236557
2021-09-22 11:34:04.824976 : Epoch  5, Batch    769, Loss  0.865556, Average Loss  0.870873, Time  0.236579
2021-09-22 11:34:07.749914 : Epoch  5, Batch    770, Loss  0.888685, Average Loss  0.870950, Time  0.236232
2021-09-22 11:34:10.387497 : Epoch  5, Batch    771, Loss  0.865207, Average Loss  0.870905, Time  0.236064
2021-09-22 11:34:13.043329 : Epoch  5, Batch    772, Loss  0.870906, Average Loss  0.870786, Time  0.236245
2021-09-22 11:34:15.699424 : Epoch  5, Batch    773, Loss  0.881463, Average Loss  0.870947, Time  0.237503
2021-09-22 11:34:18.356235 : Epoch  5, Batch    774, Loss  0.877517, Average Loss  0.870939, Time  0.236191
2021-09-22 11:34:21.055068 : Epoch  5, Batch    775, Loss  0.893543, Average Loss  0.870898, Time  0.237830
2021-09-22 11:34:23.699393 : Epoch  5, Batch    776, Loss  0.870482, Average Loss  0.870834, Time  0.235851
2021-09-22 11:38:32.860666 : CheckPoint: Validation Loss  0.00030407, Best Loss  0.00029452
2021-09-22 11:38:35.517156 : Epoch  5, Batch    777, Loss  0.882905, Average Loss  0.870872, Time  0.237157
2021-09-22 11:38:38.166303 : Epoch  5, Batch    778, Loss  0.865629, Average Loss  0.870796, Time  0.236450
2021-09-22 11:38:40.827350 : Epoch  5, Batch    779, Loss  0.874927, Average Loss  0.870841, Time  0.237055
2021-09-22 11:38:43.475398 : Epoch  5, Batch    780, Loss  0.855310, Average Loss  0.870679, Time  0.236848
2021-09-22 11:38:46.130357 : Epoch  5, Batch    781, Loss  0.858095, Average Loss  0.870599, Time  0.235932
2021-09-22 11:38:48.783823 : Epoch  5, Batch    782, Loss  0.878206, Average Loss  0.870650, Time  0.236961
2021-09-22 11:38:51.453600 : Epoch  5, Batch    783, Loss  0.862960, Average Loss  0.870535, Time  0.235652
2021-09-22 11:38:54.091533 : Epoch  5, Batch    784, Loss  0.887409, Average Loss  0.870629, Time  0.236019
2021-09-22 11:38:56.736209 : Epoch  5, Batch    785, Loss  0.860129, Average Loss  0.870686, Time  0.236564
2021-09-22 11:38:59.386018 : Epoch  5, Batch    786, Loss  0.876318, Average Loss  0.870766, Time  0.237722
2021-09-22 11:39:02.031518 : Epoch  5, Batch    787, Loss  0.874582, Average Loss  0.870677, Time  0.235410
2021-09-22 11:39:04.681372 : Epoch  5, Batch    788, Loss  0.867611, Average Loss  0.870654, Time  0.236630
2021-09-22 11:39:07.359477 : Epoch  5, Batch    789, Loss  0.870764, Average Loss  0.870656, Time  0.236692
2021-09-22 11:39:10.013644 : Epoch  5, Batch    790, Loss  0.881540, Average Loss  0.870683, Time  0.237671
2021-09-22 11:39:12.679997 : Epoch  5, Batch    791, Loss  0.857970, Average Loss  0.870495, Time  0.236259
2021-09-22 11:39:15.386961 : Epoch  5, Batch    792, Loss  0.861664, Average Loss  0.870444, Time  0.236891
2021-09-22 11:39:18.072135 : Epoch  5, Batch    793, Loss  0.874403, Average Loss  0.870440, Time  0.237040
2021-09-22 11:39:20.733845 : Epoch  5, Batch    794, Loss  0.865244, Average Loss  0.870408, Time  0.236239
2021-09-22 11:39:23.410077 : Epoch  5, Batch    795, Loss  0.897547, Average Loss  0.870557, Time  0.235880
2021-09-22 11:39:26.077325 : Epoch  5, Batch    796, Loss  0.873937, Average Loss  0.870499, Time  0.236147
2021-09-22 11:39:28.729419 : Epoch  5, Batch    797, Loss  0.880386, Average Loss  0.870665, Time  0.236975
2021-09-22 11:39:31.380999 : Epoch  5, Batch    798, Loss  0.876734, Average Loss  0.870699, Time  0.239418
2021-09-22 11:39:34.031970 : Epoch  5, Batch    799, Loss  0.856708, Average Loss  0.870634, Time  0.236427
2021-09-22 11:39:36.681993 : Epoch  5, Batch    800, Loss  0.879622, Average Loss  0.870781, Time  0.236696
2021-09-22 11:39:39.330376 : Epoch  5, Batch    801, Loss  0.874864, Average Loss  0.870800, Time  0.236294
2021-09-22 11:39:41.994085 : Epoch  5, Batch    802, Loss  0.863210, Average Loss  0.870721, Time  0.236158
2021-09-22 11:39:44.676424 : Epoch  5, Batch    803, Loss  0.871330, Average Loss  0.870798, Time  0.236854
2021-09-22 11:39:47.375093 : Epoch  5, Batch    804, Loss  0.852944, Average Loss  0.870841, Time  0.236479
2021-09-22 11:39:50.039357 : Epoch  5, Batch    805, Loss  0.860176, Average Loss  0.870778, Time  0.240192
2021-09-22 11:39:52.664015 : Epoch  5, Batch    806, Loss  0.878929, Average Loss  0.870816, Time  0.235568
2021-09-22 11:39:55.284033 : Epoch  5, Batch    807, Loss  0.900720, Average Loss  0.871005, Time  0.236104
2021-09-22 11:39:57.910062 : Epoch  5, Batch    808, Loss  0.861260, Average Loss  0.870832, Time  0.236240
2021-09-22 11:40:00.534401 : Epoch  5, Batch    809, Loss  0.859172, Average Loss  0.870724, Time  0.236418
2021-09-22 11:40:03.159046 : Epoch  5, Batch    810, Loss  0.878495, Average Loss  0.870853, Time  0.235845
2021-09-22 11:40:05.841440 : Epoch  5, Batch    811, Loss  0.857797, Average Loss  0.870739, Time  0.238131
2021-09-22 11:40:08.552011 : Epoch  5, Batch    812, Loss  0.857595, Average Loss  0.870690, Time  0.238352
2021-09-22 11:40:11.237317 : Epoch  5, Batch    813, Loss  0.856775, Average Loss  0.870606, Time  0.236101
2021-09-22 11:40:13.926085 : Epoch  5, Batch    814, Loss  0.865426, Average Loss  0.870554, Time  0.235907
2021-09-22 11:40:16.571481 : Epoch  5, Batch    815, Loss  0.844109, Average Loss  0.870434, Time  0.236576
2021-09-22 11:40:19.219894 : Epoch  5, Batch    816, Loss  0.876190, Average Loss  0.870491, Time  0.236736
2021-09-22 11:40:22.005872 : Epoch  5, Batch    817, Loss  0.861322, Average Loss  0.870430, Time  0.239336
2021-09-22 11:40:24.654756 : Epoch  5, Batch    818, Loss  0.872096, Average Loss  0.870480, Time  0.239594
2021-09-22 11:40:27.287418 : Epoch  5, Batch    819, Loss  0.860119, Average Loss  0.870476, Time  0.235437
2021-09-22 11:40:29.927989 : Epoch  5, Batch    820, Loss  0.864979, Average Loss  0.870441, Time  0.236315
2021-09-22 11:40:32.582972 : Epoch  5, Batch    821, Loss  0.864596, Average Loss  0.870434, Time  0.235959
2021-09-22 11:40:35.217338 : Epoch  5, Batch    822, Loss  0.862850, Average Loss  0.870321, Time  0.235457
2021-09-22 11:40:37.846362 : Epoch  5, Batch    823, Loss  0.864987, Average Loss  0.870309, Time  0.235910
2021-09-22 11:40:40.476844 : Epoch  5, Batch    824, Loss  0.857372, Average Loss  0.870209, Time  0.236471
2021-09-22 11:40:43.117845 : Epoch  5, Batch    825, Loss  0.861078, Average Loss  0.870204, Time  0.235339
2021-09-22 11:40:45.750064 : Epoch  5, Batch    826, Loss  0.874981, Average Loss  0.870248, Time  0.235346
2021-09-22 11:40:48.378112 : Epoch  5, Batch    827, Loss  0.873715, Average Loss  0.870259, Time  0.234849
2021-09-22 11:40:51.002898 : Epoch  5, Batch    828, Loss  0.885205, Average Loss  0.870413, Time  0.235578
2021-09-22 11:40:53.630480 : Epoch  5, Batch    829, Loss  0.887939, Average Loss  0.870427, Time  0.235076
2021-09-22 11:40:56.260960 : Epoch  5, Batch    830, Loss  0.857407, Average Loss  0.870304, Time  0.235462
2021-09-22 11:40:58.886233 : Epoch  5, Batch    831, Loss  0.874471, Average Loss  0.870478, Time  0.235571
2021-09-22 11:41:01.522216 : Epoch  5, Batch    832, Loss  0.865880, Average Loss  0.870295, Time  0.236778
2021-09-22 11:41:04.147357 : Epoch  5, Batch    833, Loss  0.881517, Average Loss  0.870254, Time  0.234921
2021-09-22 11:41:06.772902 : Epoch  5, Batch    834, Loss  0.860406, Average Loss  0.870264, Time  0.235677
2021-09-22 11:41:09.392734 : Epoch  5, Batch    835, Loss  0.861995, Average Loss  0.870182, Time  0.235974
2021-09-22 11:41:12.020635 : Epoch  5, Batch    836, Loss  0.852767, Average Loss  0.869905, Time  0.235405
2021-09-22 11:41:14.648610 : Epoch  5, Batch    837, Loss  0.849329, Average Loss  0.869807, Time  0.234857
2021-09-22 11:41:17.278894 : Epoch  5, Batch    838, Loss  0.870960, Average Loss  0.869857, Time  0.235678
2021-09-22 11:41:19.909412 : Epoch  5, Batch    839, Loss  0.862811, Average Loss  0.869822, Time  0.235399
2021-09-22 11:41:22.526223 : Epoch  5, Batch    840, Loss  0.871645, Average Loss  0.869900, Time  0.235065
2021-09-22 11:41:25.158334 : Epoch  5, Batch    841, Loss  0.862388, Average Loss  0.869912, Time  0.235609
2021-09-22 11:41:27.785668 : Epoch  5, Batch    842, Loss  0.868645, Average Loss  0.869823, Time  0.235438
2021-09-22 11:41:30.407892 : Epoch  5, Batch    843, Loss  0.874349, Average Loss  0.869892, Time  0.236191
2021-09-22 11:41:33.025768 : Epoch  5, Batch    844, Loss  0.871028, Average Loss  0.869877, Time  0.235407
2021-09-22 11:41:35.663805 : Epoch  5, Batch    845, Loss  0.862336, Average Loss  0.869932, Time  0.236119
2021-09-22 11:41:38.282140 : Epoch  5, Batch    846, Loss  0.850347, Average Loss  0.869808, Time  0.235352
2021-09-22 11:41:40.905623 : Epoch  5, Batch    847, Loss  0.875897, Average Loss  0.869949, Time  0.235157
2021-09-22 11:41:43.524934 : Epoch  5, Batch    848, Loss  0.883663, Average Loss  0.869956, Time  0.236371
2021-09-22 11:41:46.150273 : Epoch  5, Batch    849, Loss  0.873938, Average Loss  0.870038, Time  0.234874
2021-09-22 11:41:48.777195 : Epoch  5, Batch    850, Loss  0.867562, Average Loss  0.870080, Time  0.235565
2021-09-22 11:41:51.412589 : Epoch  5, Batch    851, Loss  0.887086, Average Loss  0.870128, Time  0.235160
2021-09-22 11:41:54.056848 : Epoch  5, Batch    852, Loss  0.859024, Average Loss  0.870068, Time  0.235732
2021-09-22 11:41:56.681243 : Epoch  5, Batch    853, Loss  0.866646, Average Loss  0.870007, Time  0.235593
2021-09-22 11:41:59.310311 : Epoch  5, Batch    854, Loss  0.875353, Average Loss  0.870106, Time  0.235234
2021-09-22 11:42:01.932304 : Epoch  5, Batch    855, Loss  0.849227, Average Loss  0.869954, Time  0.236108
2021-09-22 11:42:04.560541 : Epoch  5, Batch    856, Loss  0.862784, Average Loss  0.869938, Time  0.235501
2021-09-22 11:42:07.193653 : Epoch  5, Batch    857, Loss  0.877013, Average Loss  0.869992, Time  0.235629
2021-09-22 11:42:09.809139 : Epoch  5, Batch    858, Loss  0.852675, Average Loss  0.869865, Time  0.236765
2021-09-22 11:42:12.475160 : Epoch  5, Batch    859, Loss  0.883767, Average Loss  0.869890, Time  0.235415
2021-09-22 11:42:15.100801 : Epoch  5, Batch    860, Loss  0.870691, Average Loss  0.869854, Time  0.236120
2021-09-22 11:42:17.729861 : Epoch  5, Batch    861, Loss  0.865694, Average Loss  0.869959, Time  0.235862
2021-09-22 11:42:20.359311 : Epoch  5, Batch    862, Loss  0.859725, Average Loss  0.869957, Time  0.235447
2021-09-22 11:42:22.974502 : Epoch  5, Batch    863, Loss  0.860430, Average Loss  0.869907, Time  0.234649
2021-09-22 11:42:25.600831 : Epoch  5, Batch    864, Loss  0.868350, Average Loss  0.869810, Time  0.235341
2021-09-22 11:42:28.248079 : Epoch  5, Batch    865, Loss  0.871078, Average Loss  0.869809, Time  0.235008
2021-09-22 11:42:30.905119 : Epoch  5, Batch    866, Loss  0.893446, Average Loss  0.870068, Time  0.235521
2021-09-22 11:42:33.528889 : Epoch  5, Batch    867, Loss  0.883923, Average Loss  0.870140, Time  0.235372
2021-09-22 11:42:36.158946 : Epoch  5, Batch    868, Loss  0.876600, Average Loss  0.870137, Time  0.235452
2021-09-22 11:42:38.786281 : Epoch  5, Batch    869, Loss  0.868702, Average Loss  0.870046, Time  0.235638
2021-09-22 11:42:41.411880 : Epoch  5, Batch    870, Loss  0.873877, Average Loss  0.870007, Time  0.235316
2021-09-22 11:42:44.033045 : Epoch  5, Batch    871, Loss  0.886506, Average Loss  0.870145, Time  0.235864
2021-09-22 11:42:46.656997 : Epoch  5, Batch    872, Loss  0.878759, Average Loss  0.870026, Time  0.235380
2021-09-22 11:42:49.283990 : Epoch  5, Batch    873, Loss  0.862720, Average Loss  0.869853, Time  0.235775
2021-09-22 11:42:51.924995 : Epoch  5, Batch    874, Loss  0.866031, Average Loss  0.869793, Time  0.235142
2021-09-22 11:42:54.561193 : Epoch  5, Batch    875, Loss  0.868263, Average Loss  0.869814, Time  0.234972
2021-09-22 11:42:57.191827 : Epoch  5, Batch    876, Loss  0.856329, Average Loss  0.869803, Time  0.235454
2021-09-22 11:47:03.545718 : CheckPoint: Validation Loss  0.00031249, Best Loss  0.00029452
2021-09-22 11:47:06.174886 : Epoch  5, Batch    877, Loss  0.890681, Average Loss  0.869942, Time  0.236366
2021-09-22 11:47:08.800784 : Epoch  5, Batch    878, Loss  0.867058, Average Loss  0.869758, Time  0.236310
2021-09-22 11:47:11.422305 : Epoch  5, Batch    879, Loss  0.855512, Average Loss  0.869670, Time  0.234828
2021-09-22 11:47:14.043016 : Epoch  5, Batch    880, Loss  0.890307, Average Loss  0.869805, Time  0.236115
2021-09-22 11:47:16.659400 : Epoch  5, Batch    881, Loss  0.878198, Average Loss  0.869840, Time  0.235866
2021-09-22 11:47:19.299392 : Epoch  5, Batch    882, Loss  0.857867, Average Loss  0.869825, Time  0.236154
2021-09-22 11:47:21.916824 : Epoch  5, Batch    883, Loss  0.856155, Average Loss  0.869868, Time  0.236322
2021-09-22 11:47:24.549365 : Epoch  5, Batch    884, Loss  0.884668, Average Loss  0.869926, Time  0.235885
2021-09-22 11:47:27.161531 : Epoch  5, Batch    885, Loss  0.868282, Average Loss  0.870029, Time  0.234741
2021-09-22 11:47:29.804351 : Epoch  5, Batch    886, Loss  0.870153, Average Loss  0.870014, Time  0.238973
2021-09-22 11:47:32.425378 : Epoch  5, Batch    887, Loss  0.862519, Average Loss  0.869942, Time  0.234892
2021-09-22 11:47:35.048365 : Epoch  5, Batch    888, Loss  0.862623, Average Loss  0.869921, Time  0.236226
2021-09-22 11:47:37.662346 : Epoch  5, Batch    889, Loss  0.878033, Average Loss  0.869939, Time  0.236294
2021-09-22 11:47:40.277853 : Epoch  5, Batch    890, Loss  0.857477, Average Loss  0.869753, Time  0.235518
2021-09-22 11:47:42.896317 : Epoch  5, Batch    891, Loss  0.869209, Average Loss  0.869907, Time  0.235355
2021-09-22 11:47:45.525798 : Epoch  5, Batch    892, Loss  0.877719, Average Loss  0.869924, Time  0.236059
2021-09-22 11:47:48.159851 : Epoch  5, Batch    893, Loss  0.878440, Average Loss  0.869990, Time  0.236452
2021-09-22 11:47:50.774373 : Epoch  5, Batch    894, Loss  0.886296, Average Loss  0.870082, Time  0.235203
2021-09-22 11:47:53.401354 : Epoch  5, Batch    895, Loss  0.846741, Average Loss  0.869912, Time  0.234992
2021-09-22 11:47:56.022942 : Epoch  5, Batch    896, Loss  0.858610, Average Loss  0.869806, Time  0.236840
2021-09-22 11:47:58.630818 : Epoch  5, Batch    897, Loss  0.860155, Average Loss  0.869815, Time  0.236199
2021-09-22 11:48:01.259853 : Epoch  5, Batch    898, Loss  0.872078, Average Loss  0.869819, Time  0.236305
2021-09-22 11:48:03.881875 : Epoch  5, Batch    899, Loss  0.858945, Average Loss  0.869778, Time  0.235164
2021-09-22 11:48:06.491666 : Epoch  5, Batch    900, Loss  0.873308, Average Loss  0.869747, Time  0.235136
2021-09-22 11:48:09.116573 : Epoch  5, Batch    901, Loss  0.857781, Average Loss  0.869632, Time  0.234924
2021-09-22 11:48:11.734874 : Epoch  5, Batch    902, Loss  0.866580, Average Loss  0.869698, Time  0.235880
2021-09-22 11:48:14.348932 : Epoch  5, Batch    903, Loss  0.873332, Average Loss  0.869703, Time  0.235265
2021-09-22 11:48:16.972913 : Epoch  5, Batch    904, Loss  0.864885, Average Loss  0.869657, Time  0.235779
2021-09-22 11:48:19.589940 : Epoch  5, Batch    905, Loss  0.854204, Average Loss  0.869544, Time  0.236072
2021-09-22 11:48:22.225165 : Epoch  5, Batch    906, Loss  0.879371, Average Loss  0.869494, Time  0.235811
2021-09-22 11:48:24.852035 : Epoch  5, Batch    907, Loss  0.865194, Average Loss  0.869496, Time  0.235063
2021-09-22 11:48:27.486919 : Epoch  5, Batch    908, Loss  0.867890, Average Loss  0.869525, Time  0.235440
2021-09-22 11:48:30.119368 : Epoch  5, Batch    909, Loss  0.882698, Average Loss  0.869630, Time  0.235240
2021-09-22 11:48:32.734971 : Epoch  5, Batch    910, Loss  0.872401, Average Loss  0.869658, Time  0.235600
2021-09-22 11:48:35.360097 : Epoch  5, Batch    911, Loss  0.868525, Average Loss  0.869696, Time  0.235111
2021-09-22 11:48:37.967788 : Epoch  5, Batch    912, Loss  0.821400, Average Loss  0.869389, Time  0.235681
2021-09-22 11:48:40.594561 : Epoch  5, Batch    913, Loss  0.866834, Average Loss  0.869444, Time  0.234849
2021-09-22 11:48:43.214827 : Epoch  5, Batch    914, Loss  0.867204, Average Loss  0.869448, Time  0.235129
2021-09-22 11:48:45.829889 : Epoch  5, Batch    915, Loss  0.876421, Average Loss  0.869471, Time  0.235337
2021-09-22 11:48:48.446005 : Epoch  5, Batch    916, Loss  0.888465, Average Loss  0.869580, Time  0.235774
2021-09-22 11:48:51.067005 : Epoch  5, Batch    917, Loss  0.868923, Average Loss  0.869406, Time  0.236173
2021-09-22 11:48:53.673306 : Epoch  5, Batch    918, Loss  0.882988, Average Loss  0.869553, Time  0.234947
2021-09-22 11:48:56.293149 : Epoch  5, Batch    919, Loss  0.866136, Average Loss  0.869565, Time  0.235474
2021-09-22 11:48:58.908007 : Epoch  5, Batch    920, Loss  0.859662, Average Loss  0.869538, Time  0.236104
2021-09-22 11:49:01.530029 : Epoch  5, Batch    921, Loss  0.855890, Average Loss  0.869549, Time  0.236013
2021-09-22 11:49:04.154428 : Epoch  5, Batch    922, Loss  0.882936, Average Loss  0.869608, Time  0.235930
2021-09-22 11:49:06.772902 : Epoch  5, Batch    923, Loss  0.862766, Average Loss  0.869539, Time  0.235603
2021-09-22 11:49:09.392314 : Epoch  5, Batch    924, Loss  0.867455, Average Loss  0.869453, Time  0.235107
2021-09-22 11:49:12.004838 : Epoch  5, Batch    925, Loss  0.858287, Average Loss  0.869464, Time  0.235458
2021-09-22 11:49:14.621361 : Epoch  5, Batch    926, Loss  0.869497, Average Loss  0.869455, Time  0.235761
2021-09-22 11:49:17.286830 : Epoch  5, Batch    927, Loss  0.882126, Average Loss  0.869565, Time  0.235475
2021-09-22 11:49:19.895963 : Epoch  5, Batch    928, Loss  0.884085, Average Loss  0.869669, Time  0.235760
2021-09-22 11:49:22.541903 : Epoch  5, Batch    929, Loss  0.863210, Average Loss  0.869664, Time  0.235141
2021-09-22 11:49:25.160894 : Epoch  5, Batch    930, Loss  0.867018, Average Loss  0.869713, Time  0.235325
2021-09-22 11:49:27.784094 : Epoch  5, Batch    931, Loss  0.882123, Average Loss  0.869771, Time  0.235013
2021-09-22 11:49:30.428155 : Epoch  5, Batch    932, Loss  0.849714, Average Loss  0.869689, Time  0.235879
2021-09-22 11:49:33.061331 : Epoch  5, Batch    933, Loss  0.851323, Average Loss  0.869650, Time  0.235230
2021-09-22 11:49:35.677266 : Epoch  5, Batch    934, Loss  0.868046, Average Loss  0.869665, Time  0.234813
2021-09-22 11:49:38.289573 : Epoch  5, Batch    935, Loss  0.856117, Average Loss  0.869520, Time  0.235836
2021-09-22 11:49:40.910074 : Epoch  5, Batch    936, Loss  0.870571, Average Loss  0.869531, Time  0.235782
2021-09-22 11:49:43.525610 : Epoch  5, Batch    937, Loss  0.878939, Average Loss  0.869542, Time  0.236451
2021-09-22 11:49:46.154350 : Epoch  5, Batch    938, Loss  0.850829, Average Loss  0.869452, Time  0.235401
2021-09-22 11:49:48.776296 : Epoch  5, Batch    939, Loss  0.851051, Average Loss  0.869304, Time  0.236675
2021-09-22 11:49:51.400066 : Epoch  5, Batch    940, Loss  0.875761, Average Loss  0.869314, Time  0.236077
2021-09-22 11:49:54.016804 : Epoch  5, Batch    941, Loss  0.865672, Average Loss  0.869293, Time  0.234980
2021-09-22 11:49:56.638884 : Epoch  5, Batch    942, Loss  0.859499, Average Loss  0.869313, Time  0.235921
2021-09-22 11:49:59.256350 : Epoch  5, Batch    943, Loss  0.882116, Average Loss  0.869417, Time  0.235985
2021-09-22 11:50:01.866812 : Epoch  5, Batch    944, Loss  0.863240, Average Loss  0.869439, Time  0.235467
2021-09-22 11:50:04.490343 : Epoch  5, Batch    945, Loss  0.862066, Average Loss  0.869438, Time  0.235546
2021-09-22 11:50:07.113118 : Epoch  5, Batch    946, Loss  0.867361, Average Loss  0.869347, Time  0.235395
2021-09-22 11:50:09.795891 : Epoch  5, Batch    947, Loss  0.876164, Average Loss  0.869401, Time  0.235921
2021-09-22 11:50:12.409085 : Epoch  5, Batch    948, Loss  0.879551, Average Loss  0.869446, Time  0.235532
2021-09-22 11:50:15.038509 : Epoch  5, Batch    949, Loss  0.879009, Average Loss  0.869439, Time  0.235617
2021-09-22 11:50:17.665956 : Epoch  5, Batch    950, Loss  0.847294, Average Loss  0.869264, Time  0.235767
2021-09-22 11:50:20.285640 : Epoch  5, Batch    951, Loss  0.866836, Average Loss  0.869320, Time  0.235089
2021-09-22 11:50:22.890846 : Epoch  5, Batch    952, Loss  0.867718, Average Loss  0.869288, Time  0.236317
2021-09-22 11:50:25.518797 : Epoch  5, Batch    953, Loss  0.850304, Average Loss  0.869176, Time  0.234926
2021-09-22 11:50:28.147975 : Epoch  5, Batch    954, Loss  0.868066, Average Loss  0.869156, Time  0.235372
2021-09-22 11:50:30.762337 : Epoch  5, Batch    955, Loss  0.868337, Average Loss  0.869104, Time  0.235315
2021-09-22 11:50:33.423025 : Epoch  5, Batch    956, Loss  0.892281, Average Loss  0.869030, Time  0.235295
2021-09-22 11:50:36.026992 : Epoch  5, Batch    957, Loss  0.865689, Average Loss  0.869074, Time  0.235345
2021-09-22 11:50:38.632877 : Epoch  5, Batch    958, Loss  0.877883, Average Loss  0.869151, Time  0.235637
2021-09-22 11:50:41.299956 : Epoch  5, Batch    959, Loss  0.865026, Average Loss  0.869135, Time  0.235685
2021-09-22 11:50:43.901290 : Epoch  5, Batch    960, Loss  0.860592, Average Loss  0.869047, Time  0.235432
2021-09-22 11:50:46.503539 : Epoch  5, Batch    961, Loss  0.873911, Average Loss  0.869026, Time  0.235599
2021-09-22 11:50:49.115832 : Epoch  5, Batch    962, Loss  0.867365, Average Loss  0.868983, Time  0.235547
2021-09-22 11:50:51.730036 : Epoch  5, Batch    963, Loss  0.866647, Average Loss  0.868954, Time  0.236356
2021-09-22 11:50:54.357881 : Epoch  5, Batch    964, Loss  0.842361, Average Loss  0.868840, Time  0.236793
2021-09-22 11:50:56.973242 : Epoch  5, Batch    965, Loss  0.866068, Average Loss  0.868709, Time  0.239509
2021-09-22 11:50:59.579906 : Epoch  5, Batch    966, Loss  0.870763, Average Loss  0.868702, Time  0.235923
2021-09-22 11:51:02.190999 : Epoch  5, Batch    967, Loss  0.858809, Average Loss  0.868545, Time  0.235295
2021-09-22 11:51:04.813139 : Epoch  5, Batch    968, Loss  0.866048, Average Loss  0.868623, Time  0.235625
2021-09-22 11:51:07.422902 : Epoch  5, Batch    969, Loss  0.868600, Average Loss  0.868638, Time  0.235452
2021-09-22 11:51:10.035172 : Epoch  5, Batch    970, Loss  0.872917, Average Loss  0.868559, Time  0.235620
2021-09-22 11:51:12.649361 : Epoch  5, Batch    971, Loss  0.875498, Average Loss  0.868611, Time  0.235090
2021-09-22 11:51:15.269356 : Epoch  5, Batch    972, Loss  0.883285, Average Loss  0.868673, Time  0.235164
2021-09-22 11:51:17.884865 : Epoch  5, Batch    973, Loss  0.867964, Average Loss  0.868605, Time  0.235724
2021-09-22 11:51:20.531968 : Epoch  5, Batch    974, Loss  0.859611, Average Loss  0.868516, Time  0.236465
2021-09-22 11:51:23.142332 : Epoch  5, Batch    975, Loss  0.883960, Average Loss  0.868468, Time  0.235180
2021-09-22 11:51:25.761353 : Epoch  5, Batch    976, Loss  0.877063, Average Loss  0.868501, Time  0.235625
2021-09-22 11:55:33.107723 : CheckPoint: Validation Loss  0.00029393, Best Loss  0.00029393
2021-09-22 11:55:33.149556 : Best Model Updated
2021-09-22 11:55:36.515838 : Epoch  5, Batch    977, Loss  0.876665, Average Loss  0.868469, Time  0.236674
2021-09-22 11:55:39.157307 : Epoch  5, Batch    978, Loss  0.865685, Average Loss  0.868470, Time  0.236519
2021-09-22 11:55:41.790480 : Epoch  5, Batch    979, Loss  0.878133, Average Loss  0.868486, Time  0.235785
2021-09-22 11:55:44.411549 : Epoch  5, Batch    980, Loss  0.853571, Average Loss  0.868477, Time  0.235342
2021-09-22 11:55:47.056367 : Epoch  5, Batch    981, Loss  0.879051, Average Loss  0.868582, Time  0.235495
2021-09-22 11:55:49.684605 : Epoch  5, Batch    982, Loss  0.859103, Average Loss  0.868486, Time  0.236365
2021-09-22 11:55:52.303552 : Epoch  5, Batch    983, Loss  0.876661, Average Loss  0.868555, Time  0.235240
2021-09-22 11:55:54.955939 : Epoch  5, Batch    984, Loss  0.871308, Average Loss  0.868474, Time  0.235828
2021-09-22 11:55:57.598820 : Epoch  5, Batch    985, Loss  0.855214, Average Loss  0.868450, Time  0.239705
2021-09-22 11:56:00.231819 : Epoch  5, Batch    986, Loss  0.860272, Average Loss  0.868369, Time  0.238810
2021-09-22 11:56:02.865348 : Epoch  5, Batch    987, Loss  0.895901, Average Loss  0.868476, Time  0.235325
2021-09-22 11:56:05.510888 : Epoch  5, Batch    988, Loss  0.871190, Average Loss  0.868494, Time  0.238753
2021-09-22 11:56:08.143783 : Epoch  5, Batch    989, Loss  0.870569, Average Loss  0.868493, Time  0.236071
2021-09-22 11:56:10.770992 : Epoch  5, Batch    990, Loss  0.881519, Average Loss  0.868493, Time  0.235672
2021-09-22 11:56:13.385508 : Epoch  5, Batch    991, Loss  0.863907, Average Loss  0.868523, Time  0.235322
2021-09-22 11:56:15.997818 : Epoch  5, Batch    992, Loss  0.855009, Average Loss  0.868489, Time  0.236203
2021-09-22 11:56:18.613821 : Epoch  5, Batch    993, Loss  0.875392, Average Loss  0.868494, Time  0.234792
2021-09-22 11:56:21.234168 : Epoch  5, Batch    994, Loss  0.859075, Average Loss  0.868463, Time  0.235467
2021-09-22 11:56:23.858164 : Epoch  5, Batch    995, Loss  0.882275, Average Loss  0.868387, Time  0.235665
2021-09-22 11:56:26.476074 : Epoch  5, Batch    996, Loss  0.845544, Average Loss  0.868245, Time  0.235339
2021-09-22 11:56:29.099091 : Epoch  5, Batch    997, Loss  0.856367, Average Loss  0.868125, Time  0.235613
2021-09-22 11:56:31.722849 : Epoch  5, Batch    998, Loss  0.868734, Average Loss  0.868085, Time  0.235217
2021-09-22 11:56:34.345843 : Epoch  5, Batch    999, Loss  0.888470, Average Loss  0.868244, Time  0.235283
2021-09-22 11:56:36.964102 : Epoch  5, Batch   1000, Loss  0.881620, Average Loss  0.868254, Time  0.235356
2021-09-22 11:56:39.585857 : Epoch  5, Batch   1001, Loss  0.881083, Average Loss  0.868285, Time  0.235415
2021-09-22 11:56:42.217997 : Epoch  5, Batch   1002, Loss  0.870729, Average Loss  0.868322, Time  0.236335
2021-09-22 11:56:44.840553 : Epoch  5, Batch   1003, Loss  0.871252, Average Loss  0.868322, Time  0.234732
2021-09-22 11:56:47.456611 : Epoch  5, Batch   1004, Loss  0.860479, Average Loss  0.868360, Time  0.236145
2021-09-22 11:56:50.070978 : Epoch  5, Batch   1005, Loss  0.879657, Average Loss  0.868457, Time  0.235332
2021-09-22 11:56:52.688998 : Epoch  5, Batch   1006, Loss  0.868987, Average Loss  0.868407, Time  0.236345
2021-09-22 11:56:55.317844 : Epoch  5, Batch   1007, Loss  0.872190, Average Loss  0.868265, Time  0.235368
2021-09-22 11:56:57.944570 : Epoch  5, Batch   1008, Loss  0.892601, Average Loss  0.868421, Time  0.235423
2021-09-22 11:57:00.574348 : Epoch  5, Batch   1009, Loss  0.867847, Average Loss  0.868465, Time  0.236675
2021-09-22 11:57:03.198883 : Epoch  5, Batch   1010, Loss  0.894863, Average Loss  0.868547, Time  0.235242
2021-09-22 11:57:05.825815 : Epoch  5, Batch   1011, Loss  0.869417, Average Loss  0.868605, Time  0.237042
2021-09-22 11:57:08.457802 : Epoch  5, Batch   1012, Loss  0.850223, Average Loss  0.868568, Time  0.235781
2021-09-22 11:57:11.087789 : Epoch  5, Batch   1013, Loss  0.900975, Average Loss  0.868789, Time  0.235182
2021-09-22 11:57:13.709970 : Epoch  5, Batch   1014, Loss  0.861696, Average Loss  0.868770, Time  0.235240
2021-09-22 11:57:16.333085 : Epoch  5, Batch   1015, Loss  0.875505, Average Loss  0.868927, Time  0.235505
2021-09-22 11:57:18.971335 : Epoch  5, Batch   1016, Loss  0.865167, Average Loss  0.868872, Time  0.235765
2021-09-22 11:57:21.606827 : Epoch  5, Batch   1017, Loss  0.870015, Average Loss  0.868916, Time  0.235881
2021-09-22 11:57:24.231608 : Epoch  5, Batch   1018, Loss  0.867484, Average Loss  0.868893, Time  0.235369
2021-09-22 11:57:26.852288 : Epoch  5, Batch   1019, Loss  0.867394, Average Loss  0.868929, Time  0.234777
2021-09-22 11:57:29.472099 : Epoch  5, Batch   1020, Loss  0.866557, Average Loss  0.868937, Time  0.236464
2021-09-22 11:57:32.099801 : Epoch  5, Batch   1021, Loss  0.871725, Average Loss  0.868972, Time  0.234799
2021-09-22 11:57:34.729129 : Epoch  5, Batch   1022, Loss  0.862813, Average Loss  0.868972, Time  0.235118
2021-09-22 11:57:37.375316 : Epoch  5, Batch   1023, Loss  0.888072, Average Loss  0.869088, Time  0.235317
2021-09-22 11:57:40.008852 : Epoch  5, Batch   1024, Loss  0.864708, Average Loss  0.869124, Time  0.235530
2021-09-22 11:57:42.640105 : Epoch  5, Batch   1025, Loss  0.858401, Average Loss  0.869111, Time  0.237263
2021-09-22 11:57:45.266072 : Epoch  5, Batch   1026, Loss  0.871466, Average Loss  0.869093, Time  0.235100
2021-09-22 11:57:47.907263 : Epoch  5, Batch   1027, Loss  0.846741, Average Loss  0.868959, Time  0.235999
2021-09-22 11:57:50.534745 : Epoch  5, Batch   1028, Loss  0.876162, Average Loss  0.868913, Time  0.234433
2021-09-22 11:57:53.125183 : Epoch  5, Batch   1029, Loss  0.882799, Average Loss  0.868888, Time  0.234278
2021-09-22 11:57:55.721700 : Epoch  5, Batch   1030, Loss  0.848823, Average Loss  0.868845, Time  0.234255
2021-09-22 11:57:58.320026 : Epoch  5, Batch   1031, Loss  0.875150, Average Loss  0.868848, Time  0.233568
2021-09-22 11:58:00.923694 : Epoch  5, Batch   1032, Loss  0.864411, Average Loss  0.868841, Time  0.233768
2021-09-22 11:58:03.531030 : Epoch  5, Batch   1033, Loss  0.864245, Average Loss  0.868754, Time  0.233536
2021-09-22 11:58:06.139020 : Epoch  5, Batch   1034, Loss  0.875153, Average Loss  0.868828, Time  0.234030
2021-09-22 11:58:08.743593 : Epoch  5, Batch   1035, Loss  0.859663, Average Loss  0.868817, Time  0.237135
2021-09-22 11:58:11.352795 : Epoch  5, Batch   1036, Loss  0.873849, Average Loss  0.868922, Time  0.234317
2021-09-22 11:58:13.969684 : Epoch  5, Batch   1037, Loss  0.883830, Average Loss  0.869094, Time  0.235363
2021-09-22 11:58:16.580988 : Epoch  5, Batch   1038, Loss  0.863839, Average Loss  0.869059, Time  0.233812
2021-09-22 11:58:19.169740 : Epoch  5, Batch   1039, Loss  0.852987, Average Loss  0.869010, Time  0.233411
2021-09-22 11:58:21.773815 : Epoch  5, Batch   1040, Loss  0.871921, Average Loss  0.869011, Time  0.236598
2021-09-22 11:58:24.369790 : Epoch  5, Batch   1041, Loss  0.858161, Average Loss  0.868990, Time  0.234711
2021-09-22 11:58:26.973317 : Epoch  5, Batch   1042, Loss  0.869047, Average Loss  0.868992, Time  0.237312
2021-09-22 11:58:29.573615 : Epoch  5, Batch   1043, Loss  0.879236, Average Loss  0.869016, Time  0.235625
2021-09-22 11:58:32.175713 : Epoch  5, Batch   1044, Loss  0.881029, Average Loss  0.869066, Time  0.235077
2021-09-22 11:58:34.770961 : Epoch  5, Batch   1045, Loss  0.869212, Average Loss  0.869101, Time  0.234722
2021-09-22 11:58:37.377193 : Epoch  5, Batch   1046, Loss  0.867494, Average Loss  0.869187, Time  0.234392
2021-09-22 11:58:39.974833 : Epoch  5, Batch   1047, Loss  0.867034, Average Loss  0.869142, Time  0.235383
2021-09-22 11:58:42.580589 : Epoch  5, Batch   1048, Loss  0.864453, Average Loss  0.869046, Time  0.236052
2021-09-22 11:58:45.192058 : Epoch  5, Batch   1049, Loss  0.877741, Average Loss  0.869065, Time  0.235985
2021-09-22 11:58:47.798059 : Epoch  5, Batch   1050, Loss  0.891684, Average Loss  0.869186, Time  0.234816
2021-09-22 11:58:50.405229 : Epoch  5, Batch   1051, Loss  0.842189, Average Loss  0.868961, Time  0.235600
2021-09-22 11:58:53.005332 : Epoch  5, Batch   1052, Loss  0.888383, Average Loss  0.869108, Time  0.234467
2021-09-22 11:58:55.604776 : Epoch  5, Batch   1053, Loss  0.878787, Average Loss  0.869169, Time  0.237426
2021-09-22 11:58:58.203801 : Epoch  5, Batch   1054, Loss  0.873193, Average Loss  0.869158, Time  0.234690
2021-09-22 11:59:00.799728 : Epoch  5, Batch   1055, Loss  0.879537, Average Loss  0.869310, Time  0.233964
2021-09-22 11:59:03.397668 : Epoch  5, Batch   1056, Loss  0.877395, Average Loss  0.869383, Time  0.234679
2021-09-22 11:59:05.999002 : Epoch  5, Batch   1057, Loss  0.876298, Average Loss  0.869379, Time  0.233709
2021-09-22 11:59:08.606949 : Epoch  5, Batch   1058, Loss  0.854650, Average Loss  0.869389, Time  0.234973
2021-09-22 11:59:11.234728 : Epoch  5, Batch   1059, Loss  0.879981, Average Loss  0.869370, Time  0.233978
2021-09-22 11:59:13.851880 : Epoch  5, Batch   1060, Loss  0.864693, Average Loss  0.869340, Time  0.233491
2021-09-22 11:59:16.452964 : Epoch  5, Batch   1061, Loss  0.882750, Average Loss  0.869425, Time  0.233753
2021-09-22 11:59:19.049690 : Epoch  5, Batch   1062, Loss  0.879178, Average Loss  0.869523, Time  0.236209
2021-09-22 11:59:21.654168 : Epoch  5, Batch   1063, Loss  0.874916, Average Loss  0.869595, Time  0.234200
2021-09-22 11:59:24.262828 : Epoch  5, Batch   1064, Loss  0.888365, Average Loss  0.869695, Time  0.234580
2021-09-22 11:59:26.868004 : Epoch  5, Batch   1065, Loss  0.871062, Average Loss  0.869695, Time  0.234416
2021-09-22 11:59:29.468739 : Epoch  5, Batch   1066, Loss  0.882120, Average Loss  0.869638, Time  0.240120
2021-09-22 11:59:32.064485 : Epoch  5, Batch   1067, Loss  0.859083, Average Loss  0.869514, Time  0.235481
2021-09-22 11:59:34.663501 : Epoch  5, Batch   1068, Loss  0.859900, Average Loss  0.869431, Time  0.235231
2021-09-22 11:59:37.262343 : Epoch  5, Batch   1069, Loss  0.873833, Average Loss  0.869456, Time  0.233745
2021-09-22 11:59:39.895707 : Epoch  5, Batch   1070, Loss  0.877926, Average Loss  0.869477, Time  0.233754
2021-09-22 11:59:42.498764 : Epoch  5, Batch   1071, Loss  0.848115, Average Loss  0.869285, Time  0.234910
2021-09-22 11:59:45.109248 : Epoch  5, Batch   1072, Loss  0.870104, Average Loss  0.869241, Time  0.234501
2021-09-22 11:59:47.737021 : Epoch  5, Batch   1073, Loss  0.873642, Average Loss  0.869296, Time  0.235142
2021-09-22 11:59:50.338953 : Epoch  5, Batch   1074, Loss  0.874396, Average Loss  0.869338, Time  0.237685
2021-09-22 11:59:52.941802 : Epoch  5, Batch   1075, Loss  0.882711, Average Loss  0.869410, Time  0.235224
2021-09-22 11:59:55.531338 : Epoch  5, Batch   1076, Loss  0.846195, Average Loss  0.869359, Time  0.234001
2021-09-22 12:04:00.444381 : CheckPoint: Validation Loss  0.00030228, Best Loss  0.00029393
2021-09-22 12:04:03.054066 : Epoch  5, Batch   1077, Loss  0.857037, Average Loss  0.869191, Time  0.236544
2021-09-22 12:04:05.659286 : Epoch  5, Batch   1078, Loss  0.868266, Average Loss  0.869197, Time  0.236432
2021-09-22 12:04:08.266286 : Epoch  5, Batch   1079, Loss  0.879231, Average Loss  0.869316, Time  0.235215
2021-09-22 12:04:10.876902 : Epoch  5, Batch   1080, Loss  0.868631, Average Loss  0.869207, Time  0.235298
2021-09-22 12:04:13.490324 : Epoch  5, Batch   1081, Loss  0.869810, Average Loss  0.869165, Time  0.238183
2021-09-22 12:04:16.116425 : Epoch  5, Batch   1082, Loss  0.871079, Average Loss  0.869231, Time  0.235030
2021-09-22 12:04:18.712801 : Epoch  5, Batch   1083, Loss  0.882394, Average Loss  0.869363, Time  0.233675
2021-09-22 12:04:21.321150 : Epoch  5, Batch   1084, Loss  0.874782, Average Loss  0.869313, Time  0.234962
2021-09-22 12:04:23.928351 : Epoch  5, Batch   1085, Loss  0.849428, Average Loss  0.869219, Time  0.235550
2021-09-22 12:04:26.529861 : Epoch  5, Batch   1086, Loss  0.875615, Average Loss  0.869246, Time  0.239048
2021-09-22 12:04:29.141334 : Epoch  5, Batch   1087, Loss  0.854748, Average Loss  0.869207, Time  0.235510
2021-09-22 12:04:31.752867 : Epoch  5, Batch   1088, Loss  0.882574, Average Loss  0.869307, Time  0.236586
2021-09-22 12:04:34.362794 : Epoch  5, Batch   1089, Loss  0.874124, Average Loss  0.869288, Time  0.238509
2021-09-22 12:04:36.976874 : Epoch  5, Batch   1090, Loss  0.887108, Average Loss  0.869436, Time  0.237412
2021-09-22 12:04:39.586228 : Epoch  5, Batch   1091, Loss  0.855980, Average Loss  0.869370, Time  0.235727
2021-09-22 12:04:42.193018 : Epoch  5, Batch   1092, Loss  0.887708, Average Loss  0.869420, Time  0.236001
2021-09-22 12:04:44.796082 : Epoch  5, Batch   1093, Loss  0.866542, Average Loss  0.869360, Time  0.236133
2021-09-22 12:04:47.401159 : Epoch  5, Batch   1094, Loss  0.872938, Average Loss  0.869293, Time  0.235416
2021-09-22 12:04:50.028342 : Epoch  5, Batch   1095, Loss  0.887665, Average Loss  0.869498, Time  0.235407
2021-09-22 12:04:52.635204 : Epoch  5, Batch   1096, Loss  0.888461, Average Loss  0.869647, Time  0.238805
2021-09-22 12:04:55.240319 : Epoch  5, Batch   1097, Loss  0.865283, Average Loss  0.869673, Time  0.238238
2021-09-22 12:04:57.840988 : Epoch  5, Batch   1098, Loss  0.891209, Average Loss  0.869768, Time  0.236074
2021-09-22 12:05:00.439216 : Epoch  5, Batch   1099, Loss  0.846232, Average Loss  0.869705, Time  0.235266
2021-09-22 12:05:03.065836 : Epoch  5, Batch   1100, Loss  0.889198, Average Loss  0.869784, Time  0.237797
2021-09-22 12:05:05.669098 : Epoch  5, Batch   1101, Loss  0.885269, Average Loss  0.869922, Time  0.236609
2021-09-22 12:05:08.274817 : Epoch  5, Batch   1102, Loss  0.877953, Average Loss  0.869979, Time  0.235816
2021-09-22 12:05:10.886181 : Epoch  5, Batch   1103, Loss  0.862402, Average Loss  0.869924, Time  0.235319
2021-09-22 12:05:13.488249 : Epoch  5, Batch   1104, Loss  0.858489, Average Loss  0.869892, Time  0.236896
2021-09-22 12:05:16.093634 : Epoch  5, Batch   1105, Loss  0.868093, Average Loss  0.869961, Time  0.235707
2021-09-22 12:05:18.705362 : Epoch  5, Batch   1106, Loss  0.884629, Average Loss  0.869988, Time  0.239610
2021-09-22 12:05:21.312384 : Epoch  5, Batch   1107, Loss  0.866924, Average Loss  0.869996, Time  0.235267
2021-09-22 12:05:23.922001 : Epoch  5, Batch   1108, Loss  0.872203, Average Loss  0.870018, Time  0.237604
2021-09-22 12:05:26.530439 : Epoch  5, Batch   1109, Loss  0.874216, Average Loss  0.869976, Time  0.236743
2021-09-22 12:05:29.145171 : Epoch  5, Batch   1110, Loss  0.876084, Average Loss  0.869994, Time  0.235462
2021-09-22 12:05:31.749339 : Epoch  5, Batch   1111, Loss  0.858740, Average Loss  0.869945, Time  0.234822
2021-09-22 12:05:34.366797 : Epoch  5, Batch   1112, Loss  0.873745, Average Loss  0.870207, Time  0.237639
2021-09-22 12:05:36.969133 : Epoch  5, Batch   1113, Loss  0.857507, Average Loss  0.870160, Time  0.235211
2021-09-22 12:05:39.586394 : Epoch  5, Batch   1114, Loss  0.862583, Average Loss  0.870137, Time  0.236133
2021-09-22 12:05:42.191898 : Epoch  5, Batch   1115, Loss  0.867421, Average Loss  0.870092, Time  0.235812
2021-09-22 12:05:44.813805 : Epoch  5, Batch   1116, Loss  0.859489, Average Loss  0.869947, Time  0.237290
2021-09-22 12:05:47.425685 : Epoch  5, Batch   1117, Loss  0.855496, Average Loss  0.869880, Time  0.235473
2021-09-22 12:05:50.048707 : Epoch  5, Batch   1118, Loss  0.872020, Average Loss  0.869825, Time  0.235980
2021-09-22 12:05:52.669810 : Epoch  5, Batch   1119, Loss  0.864948, Average Loss  0.869819, Time  0.238577
2021-09-22 12:05:55.289363 : Epoch  5, Batch   1120, Loss  0.869912, Average Loss  0.869870, Time  0.243264
2021-09-22 12:05:57.893241 : Epoch  5, Batch   1121, Loss  0.889378, Average Loss  0.870038, Time  0.236502
2021-09-22 12:06:00.505893 : Epoch  5, Batch   1122, Loss  0.888580, Average Loss  0.870066, Time  0.236947
2021-09-22 12:06:03.121367 : Epoch  5, Batch   1123, Loss  0.847341, Average Loss  0.869989, Time  0.235209
2021-09-22 12:06:05.750863 : Epoch  5, Batch   1124, Loss  0.875497, Average Loss  0.870029, Time  0.238967
2021-09-22 12:06:08.368985 : Epoch  5, Batch   1125, Loss  0.863074, Average Loss  0.870053, Time  0.238518
2021-09-22 12:06:10.993431 : Epoch  5, Batch   1126, Loss  0.841905, Average Loss  0.869915, Time  0.235552
2021-09-22 12:06:13.599882 : Epoch  5, Batch   1127, Loss  0.869078, Average Loss  0.869850, Time  0.235739
2021-09-22 12:06:16.205418 : Epoch  5, Batch   1128, Loss  0.877328, Average Loss  0.869816, Time  0.236248
2021-09-22 12:06:18.818030 : Epoch  5, Batch   1129, Loss  0.869494, Average Loss  0.869848, Time  0.236794
2021-09-22 12:06:21.431977 : Epoch  5, Batch   1130, Loss  0.886306, Average Loss  0.869944, Time  0.237602
2021-09-22 12:06:24.045371 : Epoch  5, Batch   1131, Loss  0.887970, Average Loss  0.869973, Time  0.236582
2021-09-22 12:06:26.673868 : Epoch  5, Batch   1132, Loss  0.869059, Average Loss  0.870070, Time  0.235958
2021-09-22 12:06:29.297813 : Epoch  5, Batch   1133, Loss  0.871520, Average Loss  0.870171, Time  0.238620
2021-09-22 12:06:31.915352 : Epoch  5, Batch   1134, Loss  0.844948, Average Loss  0.870056, Time  0.236138
2021-09-22 12:06:34.540169 : Epoch  5, Batch   1135, Loss  0.878715, Average Loss  0.870168, Time  0.239936
2021-09-22 12:06:37.160390 : Epoch  5, Batch   1136, Loss  0.876895, Average Loss  0.870200, Time  0.235793
2021-09-22 12:06:39.774910 : Epoch  5, Batch   1137, Loss  0.863163, Average Loss  0.870121, Time  0.236381
2021-09-22 12:06:42.395569 : Epoch  5, Batch   1138, Loss  0.889716, Average Loss  0.870316, Time  0.238027
2021-09-22 12:06:45.017790 : Epoch  5, Batch   1139, Loss  0.866011, Average Loss  0.870390, Time  0.237382
2021-09-22 12:06:47.647369 : Epoch  5, Batch   1140, Loss  0.873169, Average Loss  0.870378, Time  0.237516
2021-09-22 12:06:50.265864 : Epoch  5, Batch   1141, Loss  0.874692, Average Loss  0.870423, Time  0.237412
2021-09-22 12:06:52.883421 : Epoch  5, Batch   1142, Loss  0.876936, Average Loss  0.870510, Time  0.238893
2021-09-22 12:06:55.494663 : Epoch  5, Batch   1143, Loss  0.850121, Average Loss  0.870350, Time  0.235805
2021-09-22 12:06:58.143899 : Epoch  5, Batch   1144, Loss  0.853395, Average Loss  0.870301, Time  0.237030
2021-09-22 12:07:00.754973 : Epoch  5, Batch   1145, Loss  0.878832, Average Loss  0.870384, Time  0.235624
2021-09-22 12:07:03.385304 : Epoch  5, Batch   1146, Loss  0.874434, Average Loss  0.870420, Time  0.238801
2021-09-22 12:07:05.997335 : Epoch  5, Batch   1147, Loss  0.874660, Average Loss  0.870412, Time  0.234730
2021-09-22 12:07:08.592328 : Epoch  5, Batch   1148, Loss  0.843216, Average Loss  0.870231, Time  0.234942
2021-09-22 12:07:11.205394 : Epoch  5, Batch   1149, Loss  0.874969, Average Loss  0.870210, Time  0.235618
2021-09-22 12:07:13.826884 : Epoch  5, Batch   1150, Loss  0.876607, Average Loss  0.870357, Time  0.236147
2021-09-22 12:07:16.448299 : Epoch  5, Batch   1151, Loss  0.848541, Average Loss  0.870265, Time  0.234624
2021-09-22 12:07:19.053295 : Epoch  5, Batch   1152, Loss  0.869780, Average Loss  0.870276, Time  0.234689
2021-09-22 12:07:21.646914 : Epoch  5, Batch   1153, Loss  0.878313, Average Loss  0.870416, Time  0.234740
2021-09-22 12:07:24.253813 : Epoch  5, Batch   1154, Loss  0.866558, Average Loss  0.870408, Time  0.235694
2021-09-22 12:07:26.853450 : Epoch  5, Batch   1155, Loss  0.846818, Average Loss  0.870301, Time  0.236779
2021-09-22 12:07:29.469660 : Epoch  5, Batch   1156, Loss  0.857249, Average Loss  0.870126, Time  0.235147
2021-09-22 12:07:32.088088 : Epoch  5, Batch   1157, Loss  0.874156, Average Loss  0.870168, Time  0.241485
2021-09-22 12:07:34.688661 : Epoch  5, Batch   1158, Loss  0.854884, Average Loss  0.870053, Time  0.237800
2021-09-22 12:07:37.282984 : Epoch  5, Batch   1159, Loss  0.866224, Average Loss  0.870059, Time  0.235027
2021-09-22 12:07:39.881365 : Epoch  5, Batch   1160, Loss  0.861193, Average Loss  0.870062, Time  0.235418
2021-09-22 12:07:42.482384 : Epoch  5, Batch   1161, Loss  0.870247, Average Loss  0.870044, Time  0.239123
2021-09-22 12:07:45.093329 : Epoch  5, Batch   1162, Loss  0.876164, Average Loss  0.870088, Time  0.240087
2021-09-22 12:07:47.721375 : Epoch  5, Batch   1163, Loss  0.871613, Average Loss  0.870112, Time  0.241340
2021-09-22 12:07:50.335997 : Epoch  5, Batch   1164, Loss  0.842004, Average Loss  0.870111, Time  0.236263
2021-09-22 12:07:52.958640 : Epoch  5, Batch   1165, Loss  0.874685, Average Loss  0.870154, Time  0.235415
2021-09-22 12:07:55.572954 : Epoch  5, Batch   1166, Loss  0.858525, Average Loss  0.870093, Time  0.236269
2021-09-22 12:07:58.181369 : Epoch  5, Batch   1167, Loss  0.849218, Average Loss  0.870045, Time  0.235933
2021-09-22 12:08:00.797872 : Epoch  5, Batch   1168, Loss  0.870988, Average Loss  0.870069, Time  0.239486
2021-09-22 12:08:03.432858 : Epoch  5, Batch   1169, Loss  0.891221, Average Loss  0.870182, Time  0.245047
2021-09-22 12:08:06.036427 : Epoch  5, Batch   1170, Loss  0.881989, Average Loss  0.870228, Time  0.237111
2021-09-22 12:08:08.669513 : Epoch  5, Batch   1171, Loss  0.858520, Average Loss  0.870143, Time  0.236219
2021-09-22 12:08:11.295346 : Epoch  5, Batch   1172, Loss  0.860006, Average Loss  0.870026, Time  0.235433
2021-09-22 12:08:13.950335 : Epoch  5, Batch   1173, Loss  0.856326, Average Loss  0.869968, Time  0.239289
2021-09-22 12:08:16.572342 : Epoch  5, Batch   1174, Loss  0.865954, Average Loss  0.870000, Time  0.235187
2021-09-22 12:08:19.184107 : Epoch  5, Batch   1175, Loss  0.864535, Average Loss  0.869903, Time  0.235879
2021-09-22 12:08:21.797795 : Epoch  5, Batch   1176, Loss  0.874104, Average Loss  0.869888, Time  0.239120
2021-09-22 12:12:27.002755 : CheckPoint: Validation Loss  0.00031326, Best Loss  0.00029393
2021-09-22 12:12:29.631331 : Epoch  5, Batch   1177, Loss  0.858716, Average Loss  0.869798, Time  0.249206
2021-09-22 12:12:32.230753 : Epoch  5, Batch   1178, Loss  0.874228, Average Loss  0.869841, Time  0.235634
2021-09-22 12:12:34.831143 : Epoch  5, Batch   1179, Loss  0.863686, Average Loss  0.869769, Time  0.235325
2021-09-22 12:12:37.430416 : Epoch  5, Batch   1180, Loss  0.848173, Average Loss  0.869742, Time  0.235120
2021-09-22 12:12:40.063877 : Epoch  5, Batch   1181, Loss  0.880926, Average Loss  0.869751, Time  0.264475
2021-09-22 12:12:42.684040 : Epoch  5, Batch   1182, Loss  0.862479, Average Loss  0.869768, Time  0.238723
2021-09-22 12:12:45.296912 : Epoch  5, Batch   1183, Loss  0.867669, Average Loss  0.869723, Time  0.235537
2021-09-22 12:12:47.918646 : Epoch  5, Batch   1184, Loss  0.861717, Average Loss  0.869675, Time  0.237654
2021-09-22 12:12:50.553341 : Epoch  5, Batch   1185, Loss  0.871128, Average Loss  0.869755, Time  0.236729
2021-09-22 12:12:53.157845 : Epoch  5, Batch   1186, Loss  0.882787, Average Loss  0.869867, Time  0.238227
2021-09-22 12:12:55.759301 : Epoch  5, Batch   1187, Loss  0.874597, Average Loss  0.869761, Time  0.234766
2021-09-22 12:12:58.369332 : Epoch  5, Batch   1188, Loss  0.886408, Average Loss  0.869837, Time  0.235119
2021-09-22 12:13:00.979033 : Epoch  5, Batch   1189, Loss  0.848499, Average Loss  0.869726, Time  0.235265
2021-09-22 12:13:03.578417 : Epoch  5, Batch   1190, Loss  0.876869, Average Loss  0.869703, Time  0.235447
2021-09-22 12:13:06.186173 : Epoch  5, Batch   1191, Loss  0.852894, Average Loss  0.869648, Time  0.235262
2021-09-22 12:13:08.822878 : Epoch  5, Batch   1192, Loss  0.861769, Average Loss  0.869682, Time  0.253969
2021-09-22 12:13:11.434141 : Epoch  5, Batch   1193, Loss  0.855473, Average Loss  0.869582, Time  0.235149
2021-09-22 12:13:14.054381 : Epoch  5, Batch   1194, Loss  0.889931, Average Loss  0.869737, Time  0.235603
2021-09-22 12:13:16.666857 : Epoch  5, Batch   1195, Loss  0.860602, Average Loss  0.869628, Time  0.236168
2021-09-22 12:13:19.283829 : Epoch  5, Batch   1196, Loss  0.893937, Average Loss  0.869870, Time  0.235147
2021-09-22 12:13:21.889792 : Epoch  5, Batch   1197, Loss  0.858742, Average Loss  0.869882, Time  0.235752
2021-09-22 12:13:24.496874 : Epoch  5, Batch   1198, Loss  0.876208, Average Loss  0.869919, Time  0.237982
2021-09-22 12:13:27.102149 : Epoch  5, Batch   1199, Loss  0.868393, Average Loss  0.869819, Time  0.238235
2021-09-22 12:13:29.709165 : Epoch  5, Batch   1200, Loss  0.900479, Average Loss  0.869913, Time  0.235694
2021-09-22 12:13:32.317458 : Epoch  5, Batch   1201, Loss  0.878908, Average Loss  0.869903, Time  0.235933
2021-09-22 12:13:34.930053 : Epoch  5, Batch   1202, Loss  0.886502, Average Loss  0.869981, Time  0.235335
2021-09-22 12:13:37.531501 : Epoch  5, Batch   1203, Loss  0.868704, Average Loss  0.869969, Time  0.235280
2021-09-22 12:13:40.139815 : Epoch  5, Batch   1204, Loss  0.868080, Average Loss  0.870007, Time  0.234798
2021-09-22 12:13:42.747124 : Epoch  5, Batch   1205, Loss  0.875324, Average Loss  0.869985, Time  0.237060
2021-09-22 12:13:45.357759 : Epoch  5, Batch   1206, Loss  0.871631, Average Loss  0.869998, Time  0.236028
2021-09-22 12:13:47.980353 : Epoch  5, Batch   1207, Loss  0.866317, Average Loss  0.869969, Time  0.242640
2021-09-22 12:13:50.582814 : Epoch  5, Batch   1208, Loss  0.858336, Average Loss  0.869798, Time  0.235707
2021-09-22 12:13:53.201438 : Epoch  5, Batch   1209, Loss  0.871586, Average Loss  0.869816, Time  0.235524
2021-09-22 12:13:55.821086 : Epoch  5, Batch   1210, Loss  0.859927, Average Loss  0.869642, Time  0.236884
2021-09-22 12:13:58.422230 : Epoch  5, Batch   1211, Loss  0.856858, Average Loss  0.869579, Time  0.235434
2021-09-22 12:14:01.032896 : Epoch  5, Batch   1212, Loss  0.869647, Average Loss  0.869676, Time  0.239392
2021-09-22 12:14:03.643910 : Epoch  5, Batch   1213, Loss  0.863496, Average Loss  0.869488, Time  0.236957
2021-09-22 12:14:06.253870 : Epoch  5, Batch   1214, Loss  0.866798, Average Loss  0.869514, Time  0.235504
2021-09-22 12:14:08.860026 : Epoch  5, Batch   1215, Loss  0.864496, Average Loss  0.869459, Time  0.235454
2021-09-22 12:14:11.480411 : Epoch  5, Batch   1216, Loss  0.860031, Average Loss  0.869433, Time  0.236103
2021-09-22 12:14:14.120240 : Epoch  5, Batch   1217, Loss  0.863398, Average Loss  0.869400, Time  0.239367
2021-09-22 12:14:16.733818 : Epoch  5, Batch   1218, Loss  0.860207, Average Loss  0.869364, Time  0.235806
2021-09-22 12:14:19.352621 : Epoch  5, Batch   1219, Loss  0.865049, Average Loss  0.869352, Time  0.235488
2021-09-22 12:14:21.968433 : Epoch  5, Batch   1220, Loss  0.873660, Average Loss  0.869388, Time  0.239569
2021-09-22 12:14:24.571827 : Epoch  5, Batch   1221, Loss  0.877164, Average Loss  0.869415, Time  0.235270
2021-09-22 12:14:27.179000 : Epoch  5, Batch   1222, Loss  0.879015, Average Loss  0.869496, Time  0.235924
2021-09-22 12:14:29.799740 : Epoch  5, Batch   1223, Loss  0.892425, Average Loss  0.869518, Time  0.236039
2021-09-22 12:14:32.406056 : Epoch  5, Batch   1224, Loss  0.847294, Average Loss  0.869430, Time  0.239555
2021-09-22 12:14:35.013953 : Epoch  5, Batch   1225, Loss  0.883830, Average Loss  0.869558, Time  0.238403
2021-09-22 12:14:37.624383 : Epoch  5, Batch   1226, Loss  0.856651, Average Loss  0.869484, Time  0.235186
2021-09-22 12:14:40.253806 : Epoch  5, Batch   1227, Loss  0.854229, Average Loss  0.869521, Time  0.239386
2021-09-22 12:14:42.868372 : Epoch  5, Batch   1228, Loss  0.880578, Average Loss  0.869543, Time  0.236527
2021-09-22 12:14:45.478200 : Epoch  5, Batch   1229, Loss  0.891138, Average Loss  0.869585, Time  0.235508
2021-09-22 12:14:48.090979 : Epoch  5, Batch   1230, Loss  0.875405, Average Loss  0.869718, Time  0.235816
2021-09-22 12:14:50.698990 : Epoch  5, Batch   1231, Loss  0.865166, Average Loss  0.869668, Time  0.235946
2021-09-22 12:14:53.298837 : Epoch  5, Batch   1232, Loss  0.883859, Average Loss  0.869765, Time  0.237024
2021-09-22 12:14:55.909395 : Epoch  5, Batch   1233, Loss  0.875320, Average Loss  0.869820, Time  0.235064
2021-09-22 12:14:58.529929 : Epoch  5, Batch   1234, Loss  0.853380, Average Loss  0.869712, Time  0.235457
2021-09-22 12:15:01.132446 : Epoch  5, Batch   1235, Loss  0.877092, Average Loss  0.869799, Time  0.238604
2021-09-22 12:15:03.752119 : Epoch  5, Batch   1236, Loss  0.856846, Average Loss  0.869714, Time  0.236280
2021-09-22 12:15:06.366771 : Epoch  5, Batch   1237, Loss  0.880708, Average Loss  0.869698, Time  0.243366
2021-09-22 12:15:08.977832 : Epoch  5, Batch   1238, Loss  0.878474, Average Loss  0.869771, Time  0.236571
2021-09-22 12:15:11.583810 : Epoch  5, Batch   1239, Loss  0.856452, Average Loss  0.869789, Time  0.236706
2021-09-22 12:15:14.188122 : Epoch  5, Batch   1240, Loss  0.874949, Average Loss  0.869804, Time  0.239044
2021-09-22 12:15:16.794950 : Epoch  5, Batch   1241, Loss  0.877869, Average Loss  0.869902, Time  0.236291
2021-09-22 12:15:19.445921 : Epoch  5, Batch   1242, Loss  0.848927, Average Loss  0.869802, Time  0.237506
2021-09-22 12:15:22.056383 : Epoch  5, Batch   1243, Loss  0.859679, Average Loss  0.869704, Time  0.235364
2021-09-22 12:15:24.671045 : Epoch  5, Batch   1244, Loss  0.849534, Average Loss  0.869546, Time  0.237066
2021-09-22 12:15:27.287843 : Epoch  5, Batch   1245, Loss  0.856200, Average Loss  0.869481, Time  0.235602
2021-09-22 12:15:29.896191 : Epoch  5, Batch   1246, Loss  0.873992, Average Loss  0.869514, Time  0.237232
2021-09-22 12:15:32.514026 : Epoch  5, Batch   1247, Loss  0.877694, Average Loss  0.869567, Time  0.239218
2021-09-22 12:15:35.124350 : Epoch  5, Batch   1248, Loss  0.898670, Average Loss  0.869738, Time  0.236484
2021-09-22 12:15:37.735046 : Epoch  5, Batch   1249, Loss  0.871127, Average Loss  0.869705, Time  0.236919
2021-09-22 12:15:40.349919 : Epoch  5, Batch   1250, Loss  0.849483, Average Loss  0.869494, Time  0.236985
2021-09-22 12:15:42.971941 : Epoch  5, Batch   1251, Loss  0.885385, Average Loss  0.869710, Time  0.238283
2021-09-22 12:15:45.580021 : Epoch  5, Batch   1252, Loss  0.884912, Average Loss  0.869693, Time  0.235772
2021-09-22 12:15:48.193768 : Epoch  5, Batch   1253, Loss  0.869716, Average Loss  0.869647, Time  0.236369
2021-09-22 12:15:50.799967 : Epoch  5, Batch   1254, Loss  0.869681, Average Loss  0.869630, Time  0.235905
2021-09-22 12:15:53.407404 : Epoch  5, Batch   1255, Loss  0.872019, Average Loss  0.869592, Time  0.235873
2021-09-22 12:15:56.019160 : Epoch  5, Batch   1256, Loss  0.861567, Average Loss  0.869513, Time  0.236105
2021-09-22 12:15:58.628396 : Epoch  5, Batch   1257, Loss  0.875782, Average Loss  0.869510, Time  0.235119
2021-09-22 12:16:01.235838 : Epoch  5, Batch   1258, Loss  0.877819, Average Loss  0.869626, Time  0.235848
2021-09-22 12:16:03.845907 : Epoch  5, Batch   1259, Loss  0.874158, Average Loss  0.869597, Time  0.236561
2021-09-22 12:16:06.458973 : Epoch  5, Batch   1260, Loss  0.881263, Average Loss  0.869680, Time  0.235928
2021-09-22 12:16:09.071049 : Epoch  5, Batch   1261, Loss  0.856351, Average Loss  0.869548, Time  0.236449
2021-09-22 12:16:11.674831 : Epoch  5, Batch   1262, Loss  0.873507, Average Loss  0.869520, Time  0.235355
2021-09-22 12:16:14.306446 : Epoch  5, Batch   1263, Loss  0.859469, Average Loss  0.869442, Time  0.243673
2021-09-22 12:16:16.942418 : Epoch  5, Batch   1264, Loss  0.868920, Average Loss  0.869345, Time  0.236106
2021-09-22 12:16:19.561918 : Epoch  5, Batch   1265, Loss  0.858260, Average Loss  0.869281, Time  0.242188
2021-09-22 12:16:22.175406 : Epoch  5, Batch   1266, Loss  0.866943, Average Loss  0.869205, Time  0.235976
2021-09-22 12:16:24.797815 : Epoch  5, Batch   1267, Loss  0.848675, Average Loss  0.869153, Time  0.240171
2021-09-22 12:16:27.406706 : Epoch  5, Batch   1268, Loss  0.855733, Average Loss  0.869132, Time  0.235477
2021-09-22 12:16:30.040921 : Epoch  5, Batch   1269, Loss  0.844889, Average Loss  0.868988, Time  0.237433
2021-09-22 12:16:32.646867 : Epoch  5, Batch   1270, Loss  0.863120, Average Loss  0.868914, Time  0.236350
2021-09-22 12:16:35.257012 : Epoch  5, Batch   1271, Loss  0.867375, Average Loss  0.869010, Time  0.236903
2021-09-22 12:16:37.870366 : Epoch  5, Batch   1272, Loss  0.871927, Average Loss  0.869019, Time  0.235388
2021-09-22 12:16:40.479999 : Epoch  5, Batch   1273, Loss  0.882166, Average Loss  0.869062, Time  0.235718
2021-09-22 12:16:43.088002 : Epoch  5, Batch   1274, Loss  0.875380, Average Loss  0.869067, Time  0.235768
2021-09-22 12:16:45.693873 : Epoch  5, Batch   1275, Loss  0.863249, Average Loss  0.868969, Time  0.235406
2021-09-22 12:16:48.297555 : Epoch  5, Batch   1276, Loss  0.874581, Average Loss  0.869111, Time  0.236308
2021-09-22 12:20:53.791273 : CheckPoint: Validation Loss  0.00031381, Best Loss  0.00029393
2021-09-22 12:20:56.443106 : Epoch  5, Batch   1277, Loss  0.881253, Average Loss  0.869232, Time  0.263412
2021-09-22 12:20:59.079040 : Epoch  5, Batch   1278, Loss  0.851248, Average Loss  0.869147, Time  0.239216
2021-09-22 12:21:01.690940 : Epoch  5, Batch   1279, Loss  0.863079, Average Loss  0.869067, Time  0.235507
2021-09-22 12:21:04.316975 : Epoch  5, Batch   1280, Loss  0.862111, Average Loss  0.869034, Time  0.235267
2021-09-22 12:21:06.928881 : Epoch  5, Batch   1281, Loss  0.873822, Average Loss  0.869054, Time  0.235584
2021-09-22 12:21:09.555968 : Epoch  5, Batch   1282, Loss  0.881498, Average Loss  0.869106, Time  0.236572
2021-09-22 12:21:12.174110 : Epoch  5, Batch   1283, Loss  0.865498, Average Loss  0.869022, Time  0.236487
2021-09-22 12:21:14.792283 : Epoch  5, Batch   1284, Loss  0.845190, Average Loss  0.868874, Time  0.235311
2021-09-22 12:21:17.413870 : Epoch  5, Batch   1285, Loss  0.866585, Average Loss  0.868959, Time  0.235396
2021-09-22 12:21:20.022924 : Epoch  5, Batch   1286, Loss  0.873267, Average Loss  0.868948, Time  0.235980
2021-09-22 12:21:22.642797 : Epoch  5, Batch   1287, Loss  0.862979, Average Loss  0.868989, Time  0.235366
2021-09-22 12:21:25.246369 : Epoch  5, Batch   1288, Loss  0.866816, Average Loss  0.868910, Time  0.236070
2021-09-22 12:21:27.856368 : Epoch  5, Batch   1289, Loss  0.886152, Average Loss  0.868970, Time  0.235202
2021-09-22 12:21:30.464783 : Epoch  5, Batch   1290, Loss  0.855546, Average Loss  0.868812, Time  0.236681
2021-09-22 12:21:33.082845 : Epoch  5, Batch   1291, Loss  0.889028, Average Loss  0.868978, Time  0.235145
2021-09-22 12:21:35.705230 : Epoch  5, Batch   1292, Loss  0.849506, Average Loss  0.868787, Time  0.235855
2021-09-22 12:21:38.313825 : Epoch  5, Batch   1293, Loss  0.876569, Average Loss  0.868837, Time  0.236930
2021-09-22 12:21:40.928230 : Epoch  5, Batch   1294, Loss  0.867963, Average Loss  0.868812, Time  0.236251
2021-09-22 12:21:43.535846 : Epoch  5, Batch   1295, Loss  0.857812, Average Loss  0.868663, Time  0.235024
2021-09-22 12:21:46.138773 : Epoch  5, Batch   1296, Loss  0.877546, Average Loss  0.868608, Time  0.234972
2021-09-22 12:21:48.751823 : Epoch  5, Batch   1297, Loss  0.880895, Average Loss  0.868686, Time  0.234895
2021-09-22 12:21:51.359819 : Epoch  5, Batch   1298, Loss  0.863278, Average Loss  0.868546, Time  0.235079
2021-09-22 12:21:53.958745 : Epoch  5, Batch   1299, Loss  0.864147, Average Loss  0.868636, Time  0.234565
2021-09-22 12:21:56.563807 : Epoch  5, Batch   1300, Loss  0.860817, Average Loss  0.868494, Time  0.235228
2021-09-22 12:21:59.178752 : Epoch  5, Batch   1301, Loss  0.840794, Average Loss  0.868272, Time  0.234744
2021-09-22 12:22:01.786009 : Epoch  5, Batch   1302, Loss  0.852640, Average Loss  0.868145, Time  0.234796
2021-09-22 12:22:04.410292 : Epoch  5, Batch   1303, Loss  0.871443, Average Loss  0.868190, Time  0.234465
2021-09-22 12:22:07.009136 : Epoch  5, Batch   1304, Loss  0.868806, Average Loss  0.868242, Time  0.235159
2021-09-22 12:22:09.615261 : Epoch  5, Batch   1305, Loss  0.867867, Average Loss  0.868241, Time  0.234689
2021-09-22 12:22:12.242895 : Epoch  5, Batch   1306, Loss  0.870151, Average Loss  0.868168, Time  0.236019
2021-09-22 12:22:14.871750 : Epoch  5, Batch   1307, Loss  0.879061, Average Loss  0.868229, Time  0.235296
2021-09-22 12:22:17.499864 : Epoch  5, Batch   1308, Loss  0.877658, Average Loss  0.868256, Time  0.237420
2021-09-22 12:22:20.108851 : Epoch  5, Batch   1309, Loss  0.860961, Average Loss  0.868190, Time  0.235943
2021-09-22 12:22:22.720308 : Epoch  5, Batch   1310, Loss  0.884005, Average Loss  0.868230, Time  0.235555
2021-09-22 12:22:25.325795 : Epoch  5, Batch   1311, Loss  0.858021, Average Loss  0.868226, Time  0.235115
2021-09-22 12:22:27.927468 : Epoch  5, Batch   1312, Loss  0.871894, Average Loss  0.868217, Time  0.235877
2021-09-22 12:22:30.544869 : Epoch  5, Batch   1313, Loss  0.861321, Average Loss  0.868236, Time  0.235738
2021-09-22 12:22:33.147275 : Epoch  5, Batch   1314, Loss  0.856849, Average Loss  0.868207, Time  0.234762
2021-09-22 12:22:35.757905 : Epoch  5, Batch   1315, Loss  0.869274, Average Loss  0.868217, Time  0.235601
2021-09-22 12:22:38.363034 : Epoch  5, Batch   1316, Loss  0.886993, Average Loss  0.868354, Time  0.235734
2021-09-22 12:22:40.966075 : Epoch  5, Batch   1317, Loss  0.884219, Average Loss  0.868498, Time  0.234622
2021-09-22 12:22:43.583042 : Epoch  5, Batch   1318, Loss  0.858065, Average Loss  0.868428, Time  0.235381
2021-09-22 12:22:46.239037 : Epoch  5, Batch   1319, Loss  0.895732, Average Loss  0.868582, Time  0.234663
2021-09-22 12:22:48.842975 : Epoch  5, Batch   1320, Loss  0.856625, Average Loss  0.868515, Time  0.235106
2021-09-22 12:22:51.480250 : Epoch  5, Batch   1321, Loss  0.873758, Average Loss  0.868437, Time  0.235379
2021-09-22 12:22:54.082242 : Epoch  5, Batch   1322, Loss  0.858580, Average Loss  0.868287, Time  0.235422
2021-09-22 12:22:56.684887 : Epoch  5, Batch   1323, Loss  0.874551, Average Loss  0.868423, Time  0.235327
2021-09-22 12:22:59.301839 : Epoch  5, Batch   1324, Loss  0.872681, Average Loss  0.868409, Time  0.235897
2021-09-22 12:23:01.911202 : Epoch  5, Batch   1325, Loss  0.851573, Average Loss  0.868352, Time  0.235485
2021-09-22 12:23:04.511045 : Epoch  5, Batch   1326, Loss  0.885199, Average Loss  0.868568, Time  0.235067
2021-09-22 12:23:07.113611 : Epoch  5, Batch   1327, Loss  0.892575, Average Loss  0.868686, Time  0.235547
2021-09-22 12:23:09.732279 : Epoch  5, Batch   1328, Loss  0.862680, Average Loss  0.868612, Time  0.235101
2021-09-22 12:23:12.338297 : Epoch  5, Batch   1329, Loss  0.871374, Average Loss  0.868622, Time  0.234975
2021-09-22 12:23:14.995778 : Epoch  5, Batch   1330, Loss  0.865970, Average Loss  0.868520, Time  0.236827
2021-09-22 12:23:17.610737 : Epoch  5, Batch   1331, Loss  0.862919, Average Loss  0.868395, Time  0.235282
2021-09-22 12:23:20.216833 : Epoch  5, Batch   1332, Loss  0.881361, Average Loss  0.868456, Time  0.235585
2021-09-22 12:23:22.818824 : Epoch  5, Batch   1333, Loss  0.878567, Average Loss  0.868492, Time  0.235360
2021-09-22 12:23:25.419143 : Epoch  5, Batch   1334, Loss  0.867386, Average Loss  0.868604, Time  0.235049
2021-09-22 12:23:28.033803 : Epoch  5, Batch   1335, Loss  0.875302, Average Loss  0.868587, Time  0.235539
2021-09-22 12:23:30.642292 : Epoch  5, Batch   1336, Loss  0.855491, Average Loss  0.868480, Time  0.235397
2021-09-22 12:23:33.266481 : Epoch  5, Batch   1337, Loss  0.872307, Average Loss  0.868525, Time  0.235117
2021-09-22 12:23:35.885827 : Epoch  5, Batch   1338, Loss  0.879177, Average Loss  0.868473, Time  0.234797
2021-09-22 12:23:38.506327 : Epoch  5, Batch   1339, Loss  0.858173, Average Loss  0.868434, Time  0.235495
2021-09-22 12:23:41.175894 : Epoch  5, Batch   1340, Loss  0.882281, Average Loss  0.868479, Time  0.235434
2021-09-22 12:23:43.800324 : Epoch  5, Batch   1341, Loss  0.861754, Average Loss  0.868414, Time  0.235575
2021-09-22 12:23:46.405321 : Epoch  5, Batch   1342, Loss  0.867181, Average Loss  0.868366, Time  0.235184
2021-09-22 12:23:49.009458 : Epoch  5, Batch   1343, Loss  0.883372, Average Loss  0.868532, Time  0.235277
2021-09-22 12:23:51.617502 : Epoch  5, Batch   1344, Loss  0.855951, Average Loss  0.868545, Time  0.235140
2021-09-22 12:23:54.229099 : Epoch  5, Batch   1345, Loss  0.889496, Average Loss  0.868598, Time  0.234994
2021-09-22 12:23:56.835985 : Epoch  5, Batch   1346, Loss  0.892776, Average Loss  0.868690, Time  0.235603
2021-09-22 12:23:59.443925 : Epoch  5, Batch   1347, Loss  0.865688, Average Loss  0.868645, Time  0.235922
2021-09-22 12:24:02.052351 : Epoch  5, Batch   1348, Loss  0.880979, Average Loss  0.868834, Time  0.235822
2021-09-22 12:24:04.658803 : Epoch  5, Batch   1349, Loss  0.888260, Average Loss  0.868900, Time  0.235167
2021-09-22 12:24:07.278990 : Epoch  5, Batch   1350, Loss  0.892387, Average Loss  0.868979, Time  0.235948
2021-09-22 12:24:09.881771 : Epoch  5, Batch   1351, Loss  0.852675, Average Loss  0.869000, Time  0.235117
2021-09-22 12:24:12.497517 : Epoch  5, Batch   1352, Loss  0.880403, Average Loss  0.869053, Time  0.234837
2021-09-22 12:24:15.136963 : Epoch  5, Batch   1353, Loss  0.877160, Average Loss  0.869047, Time  0.236901
2021-09-22 12:24:17.745983 : Epoch  5, Batch   1354, Loss  0.861816, Average Loss  0.869023, Time  0.235287
2021-09-22 12:24:20.360949 : Epoch  5, Batch   1355, Loss  0.865549, Average Loss  0.869117, Time  0.236118
2021-09-22 12:24:22.961300 : Epoch  5, Batch   1356, Loss  0.872787, Average Loss  0.869195, Time  0.235326
2021-09-22 12:24:25.583015 : Epoch  5, Batch   1357, Loss  0.882123, Average Loss  0.869235, Time  0.235383
2021-09-22 12:24:28.201285 : Epoch  5, Batch   1358, Loss  0.878476, Average Loss  0.869353, Time  0.235480
2021-09-22 12:24:30.825820 : Epoch  5, Batch   1359, Loss  0.862369, Average Loss  0.869333, Time  0.234917
2021-09-22 12:24:33.435738 : Epoch  5, Batch   1360, Loss  0.880547, Average Loss  0.869430, Time  0.235864
2021-09-22 12:24:36.047057 : Epoch  5, Batch   1361, Loss  0.871627, Average Loss  0.869437, Time  0.234878
2021-09-22 12:24:38.666985 : Epoch  5, Batch   1362, Loss  0.865472, Average Loss  0.869383, Time  0.235579
2021-09-22 12:24:41.274983 : Epoch  5, Batch   1363, Loss  0.861855, Average Loss  0.869335, Time  0.234637
2021-09-22 12:24:43.906831 : Epoch  5, Batch   1364, Loss  0.864795, Average Loss  0.869449, Time  0.234974
2021-09-22 12:24:46.512798 : Epoch  5, Batch   1365, Loss  0.854645, Average Loss  0.869348, Time  0.235619
2021-09-22 12:24:49.112956 : Epoch  5, Batch   1366, Loss  0.868403, Average Loss  0.869398, Time  0.234761
2021-09-22 12:24:51.727802 : Epoch  5, Batch   1367, Loss  0.869704, Average Loss  0.869500, Time  0.235215
2021-09-22 12:24:54.329994 : Epoch  5, Batch   1368, Loss  0.875818, Average Loss  0.869524, Time  0.235330
2021-09-22 12:24:56.937305 : Epoch  5, Batch   1369, Loss  0.869268, Average Loss  0.869415, Time  0.235324
2021-09-22 12:24:59.536898 : Epoch  5, Batch   1370, Loss  0.859164, Average Loss  0.869300, Time  0.235060
2021-09-22 12:25:02.141771 : Epoch  5, Batch   1371, Loss  0.853883, Average Loss  0.869277, Time  0.235480
2021-09-22 12:25:04.751995 : Epoch  5, Batch   1372, Loss  0.867667, Average Loss  0.869316, Time  0.236350
2021-09-22 12:25:07.363815 : Epoch  5, Batch   1373, Loss  0.854848, Average Loss  0.869308, Time  0.235097
2021-09-22 12:25:09.969201 : Epoch  5, Batch   1374, Loss  0.873796, Average Loss  0.869347, Time  0.235193
2021-09-22 12:25:12.593793 : Epoch  5, Batch   1375, Loss  0.889821, Average Loss  0.869474, Time  0.234596
2021-09-22 12:25:15.222268 : Epoch  5, Batch   1376, Loss  0.867635, Average Loss  0.869441, Time  0.236248
2021-09-22 12:29:21.480755 : CheckPoint: Validation Loss  0.00030390, Best Loss  0.00029393
2021-09-22 12:29:24.127278 : Epoch  5, Batch   1377, Loss  0.880408, Average Loss  0.869550, Time  0.238585
2021-09-22 12:29:26.748688 : Epoch  5, Batch   1378, Loss  0.861035, Average Loss  0.869484, Time  0.236553
2021-09-22 12:29:29.374213 : Epoch  5, Batch   1379, Loss  0.877992, Average Loss  0.869556, Time  0.235893
2021-09-22 12:29:31.988831 : Epoch  5, Batch   1380, Loss  0.876863, Average Loss  0.869699, Time  0.238715
2021-09-22 12:29:34.605836 : Epoch  5, Batch   1381, Loss  0.848326, Average Loss  0.869536, Time  0.235682
2021-09-22 12:29:37.233039 : Epoch  5, Batch   1382, Loss  0.887229, Average Loss  0.869660, Time  0.236169
2021-09-22 12:29:39.859437 : Epoch  5, Batch   1383, Loss  0.868478, Average Loss  0.869664, Time  0.235452
2021-09-22 12:29:42.496436 : Epoch  5, Batch   1384, Loss  0.867002, Average Loss  0.869690, Time  0.236018
2021-09-22 12:29:45.123843 : Epoch  5, Batch   1385, Loss  0.877370, Average Loss  0.869721, Time  0.236006
2021-09-22 12:29:47.747754 : Epoch  5, Batch   1386, Loss  0.874674, Average Loss  0.869681, Time  0.236031
2021-09-22 12:29:50.370546 : Epoch  5, Batch   1387, Loss  0.871701, Average Loss  0.869666, Time  0.235824
2021-09-22 12:29:52.995695 : Epoch  5, Batch   1388, Loss  0.857318, Average Loss  0.869521, Time  0.236137
2021-09-22 12:29:55.623740 : Epoch  5, Batch   1389, Loss  0.854743, Average Loss  0.869552, Time  0.236321
2021-09-22 12:29:58.244950 : Epoch  5, Batch   1390, Loss  0.864638, Average Loss  0.869491, Time  0.236732
2021-09-22 12:30:00.872672 : Epoch  5, Batch   1391, Loss  0.871834, Average Loss  0.869586, Time  0.235445
2021-09-22 12:30:03.500917 : Epoch  5, Batch   1392, Loss  0.864675, Average Loss  0.869600, Time  0.236530
2021-09-22 12:30:06.122974 : Epoch  5, Batch   1393, Loss  0.887021, Average Loss  0.869758, Time  0.237400
2021-09-22 12:30:08.743691 : Epoch  5, Batch   1394, Loss  0.861085, Average Loss  0.869614, Time  0.235715
2021-09-22 12:30:11.383592 : Epoch  5, Batch   1395, Loss  0.855582, Average Loss  0.869589, Time  0.236592
2021-09-22 12:30:14.019995 : Epoch  5, Batch   1396, Loss  0.858501, Average Loss  0.869411, Time  0.238043
2021-09-22 12:30:16.634090 : Epoch  5, Batch   1397, Loss  0.849010, Average Loss  0.869363, Time  0.235780
2021-09-22 12:30:19.247636 : Epoch  5, Batch   1398, Loss  0.873706, Average Loss  0.869350, Time  0.237234
2021-09-22 12:30:21.867406 : Epoch  5, Batch   1399, Loss  0.879119, Average Loss  0.869404, Time  0.239009
2021-09-22 12:30:24.492407 : Epoch  5, Batch   1400, Loss  0.872233, Average Loss  0.869263, Time  0.236185
2021-09-22 12:30:27.108425 : Epoch  5, Batch   1401, Loss  0.864185, Average Loss  0.869189, Time  0.235443
2021-09-22 12:30:29.738045 : Epoch  5, Batch   1402, Loss  0.855319, Average Loss  0.869033, Time  0.237031
2021-09-22 12:30:32.356381 : Epoch  5, Batch   1403, Loss  0.876604, Average Loss  0.869073, Time  0.236502
2021-09-22 12:30:34.997457 : Epoch  5, Batch   1404, Loss  0.871197, Average Loss  0.869088, Time  0.235794
2021-09-22 12:30:37.623649 : Epoch  5, Batch   1405, Loss  0.869191, Average Loss  0.869058, Time  0.235600
2021-09-22 12:30:40.237934 : Epoch  5, Batch   1406, Loss  0.863531, Average Loss  0.869017, Time  0.236995
2021-09-22 12:30:42.859439 : Epoch  5, Batch   1407, Loss  0.862952, Average Loss  0.869000, Time  0.235325
2021-09-22 12:30:45.477947 : Epoch  5, Batch   1408, Loss  0.865493, Average Loss  0.869036, Time  0.235820
2021-09-22 12:30:48.097086 : Epoch  5, Batch   1409, Loss  0.855649, Average Loss  0.868956, Time  0.236263
2021-09-22 12:30:50.721831 : Epoch  5, Batch   1410, Loss  0.868703, Average Loss  0.869000, Time  0.237647
2021-09-22 12:30:53.338413 : Epoch  5, Batch   1411, Loss  0.867192, Average Loss  0.869052, Time  0.235536
2021-09-22 12:30:55.967877 : Epoch  5, Batch   1412, Loss  0.862505, Average Loss  0.869016, Time  0.236505
2021-09-22 12:30:58.593908 : Epoch  5, Batch   1413, Loss  0.887345, Average Loss  0.869135, Time  0.237090
2021-09-22 12:31:01.222734 : Epoch  5, Batch   1414, Loss  0.879044, Average Loss  0.869197, Time  0.237127
2021-09-22 12:31:03.859992 : Epoch  5, Batch   1415, Loss  0.877138, Average Loss  0.869260, Time  0.238741
2021-09-22 12:31:06.492409 : Epoch  5, Batch   1416, Loss  0.873799, Average Loss  0.869329, Time  0.236752
2021-09-22 12:31:09.118058 : Epoch  5, Batch   1417, Loss  0.848696, Average Loss  0.869255, Time  0.236676
2021-09-22 12:31:11.755131 : Epoch  5, Batch   1418, Loss  0.881023, Average Loss  0.869359, Time  0.236954
2021-09-22 12:31:14.379362 : Epoch  5, Batch   1419, Loss  0.866548, Average Loss  0.869367, Time  0.236169
2021-09-22 12:31:17.025989 : Epoch  5, Batch   1420, Loss  0.851685, Average Loss  0.869257, Time  0.235793
2021-09-22 12:31:19.650219 : Epoch  5, Batch   1421, Loss  0.857923, Average Loss  0.869161, Time  0.236963
2021-09-22 12:31:22.284235 : Epoch  5, Batch   1422, Loss  0.871793, Average Loss  0.869125, Time  0.236406
2021-09-22 12:31:24.899538 : Epoch  5, Batch   1423, Loss  0.877197, Average Loss  0.869048, Time  0.235328
2021-09-22 12:31:27.509310 : Epoch  5, Batch   1424, Loss  0.885825, Average Loss  0.869241, Time  0.235434
2021-09-22 12:31:30.139232 : Epoch  5, Batch   1425, Loss  0.859706, Average Loss  0.869120, Time  0.235395
2021-09-22 12:31:32.789894 : Epoch  5, Batch   1426, Loss  0.879056, Average Loss  0.869232, Time  0.236900
2021-09-22 12:31:35.445040 : Epoch  5, Batch   1427, Loss  0.845003, Average Loss  0.869186, Time  0.244216
2021-09-22 12:31:38.111513 : Epoch  5, Batch   1428, Loss  0.877100, Average Loss  0.869169, Time  0.236807
2021-09-22 12:31:40.791859 : Epoch  5, Batch   1429, Loss  0.862984, Average Loss  0.869028, Time  0.245819
2021-09-22 12:31:43.527303 : Epoch  5, Batch   1430, Loss  0.871032, Average Loss  0.869006, Time  0.242924
2021-09-22 12:31:46.182728 : Epoch  5, Batch   1431, Loss  0.897464, Average Loss  0.869168, Time  0.244915
2021-09-22 12:31:48.810794 : Epoch  5, Batch   1432, Loss  0.863179, Average Loss  0.869064, Time  0.236808
2021-09-22 12:31:51.487739 : Epoch  5, Batch   1433, Loss  0.870667, Average Loss  0.869041, Time  0.235449
2021-09-22 12:31:54.120811 : Epoch  5, Batch   1434, Loss  0.868920, Average Loss  0.869119, Time  0.241100
2021-09-22 12:31:56.742024 : Epoch  5, Batch   1435, Loss  0.864313, Average Loss  0.869055, Time  0.235259
2021-09-22 12:31:59.561325 : Epoch  5, Batch   1436, Loss  0.864423, Average Loss  0.869093, Time  0.250075
2021-09-22 12:32:02.193880 : Epoch  5, Batch   1437, Loss  0.861012, Average Loss  0.868994, Time  0.237839
2021-09-22 12:32:04.821144 : Epoch  5, Batch   1438, Loss  0.892802, Average Loss  0.869066, Time  0.235939
2021-09-22 12:32:07.452950 : Epoch  5, Batch   1439, Loss  0.867422, Average Loss  0.869121, Time  0.235793
2021-09-22 12:32:10.069339 : Epoch  5, Batch   1440, Loss  0.876584, Average Loss  0.869129, Time  0.235508
2021-09-22 12:32:12.694251 : Epoch  5, Batch   1441, Loss  0.892102, Average Loss  0.869200, Time  0.236407
2021-09-22 12:32:15.319860 : Epoch  5, Batch   1442, Loss  0.869348, Average Loss  0.869302, Time  0.235769
2021-09-22 12:32:17.941282 : Epoch  5, Batch   1443, Loss  0.884835, Average Loss  0.869428, Time  0.235244
2021-09-22 12:32:20.572780 : Epoch  5, Batch   1444, Loss  0.854764, Average Loss  0.869454, Time  0.237831
2021-09-22 12:32:23.213135 : Epoch  5, Batch   1445, Loss  0.858055, Average Loss  0.869463, Time  0.236225
2021-09-22 12:32:25.823086 : Epoch  5, Batch   1446, Loss  0.889821, Average Loss  0.869543, Time  0.236011
2021-09-22 12:32:28.445959 : Epoch  5, Batch   1447, Loss  0.883706, Average Loss  0.869573, Time  0.235083
2021-09-22 12:32:31.091684 : Epoch  5, Batch   1448, Loss  0.859727, Average Loss  0.869378, Time  0.235826
2021-09-22 12:32:33.720339 : Epoch  5, Batch   1449, Loss  0.882848, Average Loss  0.869437, Time  0.235293
2021-09-22 12:32:36.339994 : Epoch  5, Batch   1450, Loss  0.874122, Average Loss  0.869560, Time  0.235593
2021-09-22 12:32:38.963784 : Epoch  5, Batch   1451, Loss  0.866261, Average Loss  0.869464, Time  0.236325
2021-09-22 12:32:41.587959 : Epoch  5, Batch   1452, Loss  0.869669, Average Loss  0.869388, Time  0.237539
2021-09-22 12:32:44.206526 : Epoch  5, Batch   1453, Loss  0.871551, Average Loss  0.869397, Time  0.234584
2021-09-22 12:32:46.821797 : Epoch  5, Batch   1454, Loss  0.882248, Average Loss  0.869460, Time  0.235571
2021-09-22 12:32:49.453040 : Epoch  5, Batch   1455, Loss  0.885264, Average Loss  0.869526, Time  0.235532
2021-09-22 12:32:52.077808 : Epoch  5, Batch   1456, Loss  0.863534, Average Loss  0.869536, Time  0.235179
2021-09-22 12:32:54.695798 : Epoch  5, Batch   1457, Loss  0.876468, Average Loss  0.869539, Time  0.234849
2021-09-22 12:32:57.305061 : Epoch  5, Batch   1458, Loss  0.884828, Average Loss  0.869575, Time  0.236013
2021-09-22 12:32:59.923847 : Epoch  5, Batch   1459, Loss  0.866271, Average Loss  0.869535, Time  0.235379
2021-09-22 12:33:02.535734 : Epoch  5, Batch   1460, Loss  0.851704, Average Loss  0.869387, Time  0.235594
2021-09-22 12:33:05.150772 : Epoch  5, Batch   1461, Loss  0.866925, Average Loss  0.869440, Time  0.235321
2021-09-22 12:33:07.764160 : Epoch  5, Batch   1462, Loss  0.873321, Average Loss  0.869439, Time  0.235784
2021-09-22 12:33:10.400949 : Epoch  5, Batch   1463, Loss  0.885947, Average Loss  0.869572, Time  0.235416
2021-09-22 12:33:13.013930 : Epoch  5, Batch   1464, Loss  0.880990, Average Loss  0.869632, Time  0.235743
2021-09-22 12:33:15.634919 : Epoch  5, Batch   1465, Loss  0.858297, Average Loss  0.869632, Time  0.235177
2021-09-22 12:33:18.258905 : Epoch  5, Batch   1466, Loss  0.901140, Average Loss  0.869803, Time  0.235904
2021-09-22 12:33:20.870795 : Epoch  5, Batch   1467, Loss  0.853850, Average Loss  0.869829, Time  0.235651
2021-09-22 12:33:23.492987 : Epoch  5, Batch   1468, Loss  0.881658, Average Loss  0.869959, Time  0.235724
2021-09-22 12:33:26.111311 : Epoch  5, Batch   1469, Loss  0.866629, Average Loss  0.870067, Time  0.235303
2021-09-22 12:33:28.725229 : Epoch  5, Batch   1470, Loss  0.867087, Average Loss  0.870087, Time  0.236185
2021-09-22 12:33:31.345624 : Epoch  5, Batch   1471, Loss  0.873653, Average Loss  0.870119, Time  0.236084
2021-09-22 12:33:33.967629 : Epoch  5, Batch   1472, Loss  0.829520, Average Loss  0.869907, Time  0.235244
2021-09-22 12:33:36.586317 : Epoch  5, Batch   1473, Loss  0.865274, Average Loss  0.869822, Time  0.235175
2021-09-22 12:33:39.211354 : Epoch  5, Batch   1474, Loss  0.885146, Average Loss  0.869871, Time  0.235610
2021-09-22 12:33:41.835871 : Epoch  5, Batch   1475, Loss  0.853290, Average Loss  0.869821, Time  0.235485
2021-09-22 12:33:44.462275 : Epoch  5, Batch   1476, Loss  0.844142, Average Loss  0.869669, Time  0.235837
2021-09-22 12:37:50.457720 : CheckPoint: Validation Loss  0.00029715, Best Loss  0.00029393
2021-09-22 12:37:53.075114 : Epoch  5, Batch   1477, Loss  0.875719, Average Loss  0.869641, Time  0.236045
2021-09-22 12:37:55.733287 : Epoch  5, Batch   1478, Loss  0.847708, Average Loss  0.869624, Time  0.236652
2021-09-22 12:37:58.351909 : Epoch  5, Batch   1479, Loss  0.862817, Average Loss  0.869622, Time  0.235538
2021-09-22 12:38:00.966996 : Epoch  5, Batch   1480, Loss  0.865158, Average Loss  0.869637, Time  0.236658
2021-09-22 12:38:03.656258 : Epoch  5, Batch   1481, Loss  0.869986, Average Loss  0.869618, Time  0.235109
2021-09-22 12:38:06.292565 : Epoch  5, Batch   1482, Loss  0.879005, Average Loss  0.869606, Time  0.235088
2021-09-22 12:38:08.932306 : Epoch  5, Batch   1483, Loss  0.873711, Average Loss  0.869647, Time  0.235557
2021-09-22 12:38:11.548545 : Epoch  5, Batch   1484, Loss  0.875014, Average Loss  0.869796, Time  0.235761
2021-09-22 12:38:14.170312 : Epoch  5, Batch   1485, Loss  0.870461, Average Loss  0.869815, Time  0.236473
2021-09-22 12:38:16.785078 : Epoch  5, Batch   1486, Loss  0.882955, Average Loss  0.869864, Time  0.235368
2021-09-22 12:38:19.396990 : Epoch  5, Batch   1487, Loss  0.876735, Average Loss  0.869933, Time  0.234848
2021-09-22 12:38:22.011762 : Epoch  5, Batch   1488, Loss  0.883208, Average Loss  0.870015, Time  0.236066
2021-09-22 12:38:24.614057 : Epoch  5, Batch   1489, Loss  0.871818, Average Loss  0.869943, Time  0.234917
2021-09-22 12:38:27.227074 : Epoch  5, Batch   1490, Loss  0.865893, Average Loss  0.869995, Time  0.235358
2021-09-22 12:38:29.836293 : Epoch  5, Batch   1491, Loss  0.869618, Average Loss  0.869898, Time  0.234811
2021-09-22 12:38:32.444301 : Epoch  5, Batch   1492, Loss  0.889660, Average Loss  0.870098, Time  0.234964
2021-09-22 12:38:35.051292 : Epoch  5, Batch   1493, Loss  0.859746, Average Loss  0.870014, Time  0.235406
2021-09-22 12:38:37.664282 : Epoch  5, Batch   1494, Loss  0.860992, Average Loss  0.869979, Time  0.238735
2021-09-22 12:38:40.280119 : Epoch  5, Batch   1495, Loss  0.860447, Average Loss  0.869993, Time  0.235159
2021-09-22 12:38:42.896515 : Epoch  5, Batch   1496, Loss  0.863798, Average Loss  0.869924, Time  0.236191
2021-09-22 12:38:45.556471 : Epoch  5, Batch   1497, Loss  0.848346, Average Loss  0.869761, Time  0.235443
2021-09-22 12:38:48.172367 : Epoch  5, Batch   1498, Loss  0.883434, Average Loss  0.869862, Time  0.235611
2021-09-22 12:38:50.803265 : Epoch  5, Batch   1499, Loss  0.872982, Average Loss  0.869906, Time  0.234938
2021-09-22 12:38:53.427272 : Epoch  5, Batch   1500, Loss  0.856856, Average Loss  0.869886, Time  0.235261
2021-09-22 12:38:56.048273 : Epoch  5, Batch   1501, Loss  0.878080, Average Loss  0.870073, Time  0.235965
2021-09-22 12:38:58.670815 : Epoch  5, Batch   1502, Loss  0.871302, Average Loss  0.870166, Time  0.235748
2021-09-22 12:39:01.283003 : Epoch  5, Batch   1503, Loss  0.874225, Average Loss  0.870180, Time  0.236728
2021-09-22 12:39:03.902968 : Epoch  5, Batch   1504, Loss  0.870498, Average Loss  0.870188, Time  0.236396
2021-09-22 12:39:06.521987 : Epoch  5, Batch   1505, Loss  0.874731, Average Loss  0.870223, Time  0.234991
2021-09-22 12:39:09.161103 : Epoch  5, Batch   1506, Loss  0.886784, Average Loss  0.870306, Time  0.235323
2021-09-22 12:39:11.781379 : Epoch  5, Batch   1507, Loss  0.877510, Average Loss  0.870298, Time  0.236676
2021-09-22 12:39:14.398846 : Epoch  5, Batch   1508, Loss  0.873843, Average Loss  0.870279, Time  0.234899
2021-09-22 12:39:17.038809 : Epoch  5, Batch   1509, Loss  0.872252, Average Loss  0.870335, Time  0.235646
2021-09-22 12:39:19.652777 : Epoch  5, Batch   1510, Loss  0.867409, Average Loss  0.870252, Time  0.235983
2021-09-22 12:39:22.279306 : Epoch  5, Batch   1511, Loss  0.872570, Average Loss  0.870325, Time  0.235147
2021-09-22 12:39:24.903580 : Epoch  5, Batch   1512, Loss  0.887909, Average Loss  0.870405, Time  0.235301
2021-09-22 12:39:27.513058 : Epoch  5, Batch   1513, Loss  0.862478, Average Loss  0.870411, Time  0.235137
2021-09-22 12:39:30.147721 : Epoch  5, Batch   1514, Loss  0.865059, Average Loss  0.870452, Time  0.235087
2021-09-22 12:39:32.789926 : Epoch  5, Batch   1515, Loss  0.868579, Average Loss  0.870449, Time  0.235248
2021-09-22 12:39:35.410049 : Epoch  5, Batch   1516, Loss  0.885428, Average Loss  0.870441, Time  0.235301
2021-09-22 12:39:38.041593 : Epoch  5, Batch   1517, Loss  0.872318, Average Loss  0.870381, Time  0.235174
2021-09-22 12:39:40.669297 : Epoch  5, Batch   1518, Loss  0.864088, Average Loss  0.870411, Time  0.235762
2021-09-22 12:39:43.297233 : Epoch  5, Batch   1519, Loss  0.869509, Average Loss  0.870280, Time  0.234943
2021-09-22 12:39:45.910251 : Epoch  5, Batch   1520, Loss  0.882760, Average Loss  0.870411, Time  0.236211
2021-09-22 12:39:48.525005 : Epoch  5, Batch   1521, Loss  0.875898, Average Loss  0.870422, Time  0.234846
2021-09-22 12:39:51.151334 : Epoch  5, Batch   1522, Loss  0.866601, Average Loss  0.870462, Time  0.240137
2021-09-22 12:39:53.764788 : Epoch  5, Batch   1523, Loss  0.873582, Average Loss  0.870457, Time  0.234446
2021-09-22 12:39:56.380975 : Epoch  5, Batch   1524, Loss  0.883761, Average Loss  0.870512, Time  0.236305
2021-09-22 12:39:59.001296 : Epoch  5, Batch   1525, Loss  0.849965, Average Loss  0.870504, Time  0.234955
2021-09-22 12:40:01.618831 : Epoch  5, Batch   1526, Loss  0.852050, Average Loss  0.870339, Time  0.238118
2021-09-22 12:40:04.231913 : Epoch  5, Batch   1527, Loss  0.875633, Average Loss  0.870254, Time  0.236602
2021-09-22 12:40:06.840101 : Epoch  5, Batch   1528, Loss  0.852764, Average Loss  0.870204, Time  0.235514
2021-09-22 12:40:09.457813 : Epoch  5, Batch   1529, Loss  0.865350, Average Loss  0.870174, Time  0.235261
2021-09-22 12:40:12.102311 : Epoch  5, Batch   1530, Loss  0.861909, Average Loss  0.870154, Time  0.235295
2021-09-22 12:40:14.717136 : Epoch  5, Batch   1531, Loss  0.872527, Average Loss  0.870202, Time  0.235029
2021-09-22 12:40:17.333201 : Epoch  5, Batch   1532, Loss  0.869726, Average Loss  0.870144, Time  0.235238
2021-09-22 12:40:19.956978 : Epoch  5, Batch   1533, Loss  0.875317, Average Loss  0.870127, Time  0.234773
2021-09-22 12:40:22.567058 : Epoch  5, Batch   1534, Loss  0.878629, Average Loss  0.870184, Time  0.235290
2021-09-22 12:40:25.176766 : Epoch  5, Batch   1535, Loss  0.882405, Average Loss  0.870219, Time  0.235006
2021-09-22 12:40:27.801905 : Epoch  5, Batch   1536, Loss  0.844729, Average Loss  0.870165, Time  0.246625
2021-09-22 12:40:30.416833 : Epoch  5, Batch   1537, Loss  0.886274, Average Loss  0.870235, Time  0.235788
2021-09-22 12:40:33.050948 : Epoch  5, Batch   1538, Loss  0.863853, Average Loss  0.870159, Time  0.235928
2021-09-22 12:40:35.662246 : Epoch  5, Batch   1539, Loss  0.873342, Average Loss  0.870234, Time  0.234715
2021-09-22 12:40:38.271036 : Epoch  5, Batch   1540, Loss  0.896861, Average Loss  0.870307, Time  0.235094
2021-09-22 12:40:40.888863 : Epoch  5, Batch   1541, Loss  0.858823, Average Loss  0.870293, Time  0.235472
2021-09-22 12:40:43.511892 : Epoch  5, Batch   1542, Loss  0.887774, Average Loss  0.870396, Time  0.238388
2021-09-22 12:40:46.134811 : Epoch  5, Batch   1543, Loss  0.867460, Average Loss  0.870316, Time  0.235071
2021-09-22 12:40:48.747840 : Epoch  5, Batch   1544, Loss  0.862115, Average Loss  0.870347, Time  0.235551
2021-09-22 12:40:51.373923 : Epoch  5, Batch   1545, Loss  0.854251, Average Loss  0.870171, Time  0.234825
2021-09-22 12:40:53.984858 : Epoch  5, Batch   1546, Loss  0.878839, Average Loss  0.870101, Time  0.235911
2021-09-22 12:40:56.603253 : Epoch  5, Batch   1547, Loss  0.861995, Average Loss  0.870083, Time  0.234802
2021-09-22 12:40:59.237803 : Epoch  5, Batch   1548, Loss  0.871776, Average Loss  0.870037, Time  0.236979
2021-09-22 12:41:01.869808 : Epoch  5, Batch   1549, Loss  0.889034, Average Loss  0.870040, Time  0.234879
2021-09-22 12:41:04.496905 : Epoch  5, Batch   1550, Loss  0.857569, Average Loss  0.869866, Time  0.235818
2021-09-22 12:41:07.111800 : Epoch  5, Batch   1551, Loss  0.882034, Average Loss  0.870013, Time  0.236330
2021-09-22 12:41:09.725361 : Epoch  5, Batch   1552, Loss  0.874113, Average Loss  0.869982, Time  0.236146
2021-09-22 12:41:12.363807 : Epoch  5, Batch   1553, Loss  0.833470, Average Loss  0.869763, Time  0.236208
2021-09-22 12:41:14.987283 : Epoch  5, Batch   1554, Loss  0.868367, Average Loss  0.869796, Time  0.235413
2021-09-22 12:41:17.594993 : Epoch  5, Batch   1555, Loss  0.862430, Average Loss  0.869780, Time  0.235687
2021-09-22 12:41:20.207049 : Epoch  5, Batch   1556, Loss  0.851511, Average Loss  0.869674, Time  0.235575
2021-09-22 12:41:22.819955 : Epoch  5, Batch   1557, Loss  0.843792, Average Loss  0.869482, Time  0.234942
2021-09-22 12:41:25.471120 : Epoch  5, Batch   1558, Loss  0.876661, Average Loss  0.869473, Time  0.235294
2021-09-22 12:41:28.087776 : Epoch  5, Batch   1559, Loss  0.864178, Average Loss  0.869482, Time  0.234600
2021-09-22 12:41:30.707094 : Epoch  5, Batch   1560, Loss  0.831596, Average Loss  0.869238, Time  0.235434
2021-09-22 12:41:33.318094 : Epoch  5, Batch   1561, Loss  0.869643, Average Loss  0.869228, Time  0.234721
2021-09-22 12:41:35.928802 : Epoch  5, Batch   1562, Loss  0.869442, Average Loss  0.869247, Time  0.234932
2021-09-22 12:41:38.559891 : Epoch  5, Batch   1563, Loss  0.849272, Average Loss  0.869185, Time  0.235950
2021-09-22 12:41:41.183627 : Epoch  5, Batch   1564, Loss  0.860132, Average Loss  0.869161, Time  0.234857
2021-09-22 12:41:43.792866 : Epoch  5, Batch   1565, Loss  0.839750, Average Loss  0.869087, Time  0.236090
2021-09-22 12:41:46.411287 : Epoch  5, Batch   1566, Loss  0.872470, Average Loss  0.869107, Time  0.235277
2021-09-22 12:41:49.060301 : Epoch  5, Batch   1567, Loss  0.857252, Average Loss  0.869045, Time  0.235185
2021-09-22 12:41:51.673260 : Epoch  5, Batch   1568, Loss  0.868202, Average Loss  0.869007, Time  0.234856
2021-09-22 12:41:54.281892 : Epoch  5, Batch   1569, Loss  0.864507, Average Loss  0.868983, Time  0.234726
2021-09-22 12:41:56.897457 : Epoch  5, Batch   1570, Loss  0.853534, Average Loss  0.868955, Time  0.236109
2021-09-22 12:41:59.529878 : Epoch  5, Batch   1571, Loss  0.897276, Average Loss  0.869172, Time  0.236750
2021-09-22 12:42:02.168170 : Epoch  5, Batch   1572, Loss  0.861564, Average Loss  0.869141, Time  0.235545
2021-09-22 12:42:04.812114 : Epoch  5, Batch   1573, Loss  0.882777, Average Loss  0.869281, Time  0.236009
2021-09-22 12:42:07.425829 : Epoch  5, Batch   1574, Loss  0.854283, Average Loss  0.869183, Time  0.236021
2021-09-22 12:42:10.038079 : Epoch  5, Batch   1575, Loss  0.869582, Average Loss  0.869082, Time  0.235336
2021-09-22 12:42:21.680303 : Epoch  5, Batch   1576, Loss  0.859269, Average Loss  0.869040, Time  0.271487
2021-09-22 12:46:25.603714 : CheckPoint: Validation Loss  0.00030419, Best Loss  0.00029393
2021-09-22 12:46:28.223873 : Epoch  5, Batch   1577, Loss  0.872262, Average Loss  0.869000, Time  0.236137
2021-09-22 12:46:30.842760 : Epoch  5, Batch   1578, Loss  0.878126, Average Loss  0.869085, Time  0.235354
2021-09-22 12:46:33.463283 : Epoch  5, Batch   1579, Loss  0.859186, Average Loss  0.868991, Time  0.236076
2021-09-22 12:46:36.092109 : Epoch  5, Batch   1580, Loss  0.868811, Average Loss  0.868951, Time  0.236277
2021-09-22 12:46:38.717975 : Epoch  5, Batch   1581, Loss  0.870507, Average Loss  0.869062, Time  0.234663
2021-09-22 12:46:41.377358 : Epoch  5, Batch   1582, Loss  0.854068, Average Loss  0.868896, Time  0.235572
2021-09-22 12:46:43.997458 : Epoch  5, Batch   1583, Loss  0.855756, Average Loss  0.868832, Time  0.235954
2021-09-22 12:46:46.621007 : Epoch  5, Batch   1584, Loss  0.888594, Average Loss  0.868940, Time  0.235762
2021-09-22 12:46:49.248771 : Epoch  5, Batch   1585, Loss  0.860363, Average Loss  0.868855, Time  0.236003
2021-09-22 12:46:51.877283 : Epoch  5, Batch   1586, Loss  0.863862, Average Loss  0.868801, Time  0.235557
2021-09-22 12:46:54.501892 : Epoch  5, Batch   1587, Loss  0.867127, Average Loss  0.868778, Time  0.235960
2021-09-22 12:46:57.124570 : Epoch  5, Batch   1588, Loss  0.862342, Average Loss  0.868803, Time  0.235727
2021-09-22 12:46:59.743889 : Epoch  5, Batch   1589, Loss  0.878029, Average Loss  0.868920, Time  0.235061
2021-09-22 12:47:02.356322 : Epoch  5, Batch   1590, Loss  0.844687, Average Loss  0.868820, Time  0.235671
2021-09-22 12:47:04.970035 : Epoch  5, Batch   1591, Loss  0.873159, Average Loss  0.868827, Time  0.235441
2021-09-22 12:47:07.590827 : Epoch  5, Batch   1592, Loss  0.846252, Average Loss  0.868735, Time  0.235992
2021-09-22 12:47:10.222998 : Epoch  5, Batch   1593, Loss  0.859970, Average Loss  0.868599, Time  0.235320
2021-09-22 12:47:12.835997 : Epoch  5, Batch   1594, Loss  0.841235, Average Loss  0.868500, Time  0.235470
2021-09-22 12:47:15.455265 : Epoch  5, Batch   1595, Loss  0.873952, Average Loss  0.868592, Time  0.235354
2021-09-22 12:47:18.065860 : Epoch  5, Batch   1596, Loss  0.877196, Average Loss  0.868685, Time  0.235206
2021-09-22 12:47:20.691330 : Epoch  5, Batch   1597, Loss  0.845342, Average Loss  0.868667, Time  0.235198
2021-09-22 12:47:23.303784 : Epoch  5, Batch   1598, Loss  0.869048, Average Loss  0.868644, Time  0.235994
2021-09-22 12:47:25.919306 : Epoch  5, Batch   1599, Loss  0.873382, Average Loss  0.868615, Time  0.234529
2021-09-22 12:47:28.530313 : Epoch  5, Batch   1600, Loss  0.872021, Average Loss  0.868614, Time  0.234941
2021-09-22 12:47:31.171331 : Epoch  5, Batch   1601, Loss  0.876060, Average Loss  0.868673, Time  0.235793
2021-09-22 12:47:33.804276 : Epoch  5, Batch   1602, Loss  0.866788, Average Loss  0.868731, Time  0.234856
2021-09-22 12:47:36.425314 : Epoch  5, Batch   1603, Loss  0.879706, Average Loss  0.868746, Time  0.234805
2021-09-22 12:47:39.119384 : Epoch  5, Batch   1604, Loss  0.846618, Average Loss  0.868623, Time  0.235537
2021-09-22 12:47:41.756974 : Epoch  5, Batch   1605, Loss  0.857773, Average Loss  0.868566, Time  0.238456
2021-09-22 12:47:44.398356 : Epoch  5, Batch   1606, Loss  0.852635, Average Loss  0.868512, Time  0.241022
2021-09-22 12:47:47.047379 : Epoch  5, Batch   1607, Loss  0.837100, Average Loss  0.868382, Time  0.244226
2021-09-22 12:47:49.694818 : Epoch  5, Batch   1608, Loss  0.845722, Average Loss  0.868284, Time  0.239716
2021-09-22 12:47:52.323333 : Epoch  5, Batch   1609, Loss  0.856032, Average Loss  0.868286, Time  0.238452
2021-09-22 12:47:54.962033 : Epoch  5, Batch   1610, Loss  0.872406, Average Loss  0.868304, Time  0.240978
2021-09-22 12:47:57.588042 : Epoch  5, Batch   1611, Loss  0.842405, Average Loss  0.868180, Time  0.238903
2021-09-22 12:48:00.232852 : Epoch  5, Batch   1612, Loss  0.864452, Average Loss  0.868190, Time  0.236979
2021-09-22 12:48:02.854313 : Epoch  5, Batch   1613, Loss  0.869211, Average Loss  0.868099, Time  0.235293
2021-09-22 12:48:05.472302 : Epoch  5, Batch   1614, Loss  0.877844, Average Loss  0.868093, Time  0.235967
2021-09-22 12:48:08.086989 : Epoch  5, Batch   1615, Loss  0.843825, Average Loss  0.867927, Time  0.235087
2021-09-22 12:48:10.707031 : Epoch  5, Batch   1616, Loss  0.870303, Average Loss  0.867909, Time  0.235334
2021-09-22 12:48:13.321085 : Epoch  5, Batch   1617, Loss  0.869606, Average Loss  0.868014, Time  0.235264
2021-09-22 12:48:15.938959 : Epoch  5, Batch   1618, Loss  0.896348, Average Loss  0.868090, Time  0.236361
2021-09-22 12:48:18.545967 : Epoch  5, Batch   1619, Loss  0.881542, Average Loss  0.868165, Time  0.234890
2021-09-22 12:48:21.180890 : Epoch  5, Batch   1620, Loss  0.864488, Average Loss  0.868229, Time  0.235286
2021-09-22 12:48:23.819450 : Epoch  5, Batch   1621, Loss  0.891068, Average Loss  0.868395, Time  0.234923
2021-09-22 12:48:26.436861 : Epoch  5, Batch   1622, Loss  0.885971, Average Loss  0.868466, Time  0.235596
2021-09-22 12:48:29.059303 : Epoch  5, Batch   1623, Loss  0.847835, Average Loss  0.868319, Time  0.235719
2021-09-22 12:48:31.662798 : Epoch  5, Batch   1624, Loss  0.876343, Average Loss  0.868272, Time  0.234713
2021-09-22 12:48:34.270792 : Epoch  5, Batch   1625, Loss  0.868881, Average Loss  0.868318, Time  0.235413
2021-09-22 12:48:36.889834 : Epoch  5, Batch   1626, Loss  0.879236, Average Loss  0.868318, Time  0.238706
2021-09-22 12:48:39.529102 : Epoch  5, Batch   1627, Loss  0.875338, Average Loss  0.868470, Time  0.237643
2021-09-22 12:48:42.142784 : Epoch  5, Batch   1628, Loss  0.873714, Average Loss  0.868453, Time  0.235609
2021-09-22 12:48:44.761479 : Epoch  5, Batch   1629, Loss  0.872313, Average Loss  0.868500, Time  0.234746
2021-09-22 12:48:47.383783 : Epoch  5, Batch   1630, Loss  0.874027, Average Loss  0.868515, Time  0.238347
2021-09-22 12:48:49.999894 : Epoch  5, Batch   1631, Loss  0.867932, Average Loss  0.868367, Time  0.237047
2021-09-22 12:48:52.618918 : Epoch  5, Batch   1632, Loss  0.857338, Average Loss  0.868338, Time  0.237494
2021-09-22 12:48:55.243811 : Epoch  5, Batch   1633, Loss  0.872240, Average Loss  0.868346, Time  0.235618
2021-09-22 12:48:57.857486 : Epoch  5, Batch   1634, Loss  0.867525, Average Loss  0.868339, Time  0.235718
2021-09-22 12:49:00.462014 : Epoch  5, Batch   1635, Loss  0.863134, Average Loss  0.868333, Time  0.236402
2021-09-22 12:49:03.076496 : Epoch  5, Batch   1636, Loss  0.853083, Average Loss  0.868276, Time  0.235306
2021-09-22 12:49:05.694793 : Epoch  5, Batch   1637, Loss  0.868572, Average Loss  0.868314, Time  0.235487
2021-09-22 12:49:08.312348 : Epoch  5, Batch   1638, Loss  0.857356, Average Loss  0.868137, Time  0.235138
2021-09-22 12:49:10.930990 : Epoch  5, Batch   1639, Loss  0.865583, Average Loss  0.868128, Time  0.234736
2021-09-22 12:49:13.550299 : Epoch  5, Batch   1640, Loss  0.864796, Average Loss  0.868069, Time  0.234972
2021-09-22 12:49:16.186989 : Epoch  5, Batch   1641, Loss  0.860189, Average Loss  0.867909, Time  0.235165
2021-09-22 12:49:18.806530 : Epoch  5, Batch   1642, Loss  0.854584, Average Loss  0.867835, Time  0.235320
2021-09-22 12:49:21.440156 : Epoch  5, Batch   1643, Loss  0.856906, Average Loss  0.867696, Time  0.236097
2021-09-22 12:49:24.057290 : Epoch  5, Batch   1644, Loss  0.868591, Average Loss  0.867765, Time  0.234903
2021-09-22 12:49:26.680787 : Epoch  5, Batch   1645, Loss  0.862930, Average Loss  0.867789, Time  0.235809
2021-09-22 12:49:29.295024 : Epoch  5, Batch   1646, Loss  0.867463, Average Loss  0.867677, Time  0.235739
2021-09-22 12:49:31.908048 : Epoch  5, Batch   1647, Loss  0.883482, Average Loss  0.867676, Time  0.235677
2021-09-22 12:49:34.516478 : Epoch  5, Batch   1648, Loss  0.865192, Average Loss  0.867704, Time  0.234734
2021-09-22 12:49:37.129021 : Epoch  5, Batch   1649, Loss  0.884109, Average Loss  0.867710, Time  0.235212
2021-09-22 12:49:39.743168 : Epoch  5, Batch   1650, Loss  0.868314, Average Loss  0.867681, Time  0.236372
2021-09-22 12:49:42.356886 : Epoch  5, Batch   1651, Loss  0.872365, Average Loss  0.867711, Time  0.235108
2021-09-22 12:49:44.989074 : Epoch  5, Batch   1652, Loss  0.859461, Average Loss  0.867660, Time  0.234877
2021-09-22 12:49:47.600939 : Epoch  5, Batch   1653, Loss  0.880270, Average Loss  0.867704, Time  0.236041
2021-09-22 12:49:50.217837 : Epoch  5, Batch   1654, Loss  0.867452, Average Loss  0.867630, Time  0.236126
2021-09-22 12:49:52.831814 : Epoch  5, Batch   1655, Loss  0.836164, Average Loss  0.867384, Time  0.234477
2021-09-22 12:49:55.446870 : Epoch  5, Batch   1656, Loss  0.869401, Average Loss  0.867414, Time  0.235724
2021-09-22 12:49:58.062898 : Epoch  5, Batch   1657, Loss  0.865535, Average Loss  0.867359, Time  0.235471
2021-09-22 12:50:00.676798 : Epoch  5, Batch   1658, Loss  0.856792, Average Loss  0.867219, Time  0.235265
2021-09-22 12:50:03.292825 : Epoch  5, Batch   1659, Loss  0.872644, Average Loss  0.867251, Time  0.234805
2021-09-22 12:50:05.926305 : Epoch  5, Batch   1660, Loss  0.871465, Average Loss  0.867350, Time  0.235483
2021-09-22 12:50:08.541790 : Epoch  5, Batch   1661, Loss  0.878548, Average Loss  0.867408, Time  0.235080
2021-09-22 12:50:11.164150 : Epoch  5, Batch   1662, Loss  0.859888, Average Loss  0.867341, Time  0.235654
2021-09-22 12:50:12.448991 : Epoch  5, Batch   1663, Loss  0.872136, Average Loss  0.867272, Time  0.138932
2021-09-22 12:50:15.061826 : Epoch  5, Batch   1664, Loss  0.873581, Average Loss  0.867234, Time  0.235132
2021-09-22 12:50:17.696867 : Epoch  5, Batch   1665, Loss  0.864750, Average Loss  0.867267, Time  0.236585
2021-09-22 12:50:20.346781 : Epoch  5, Batch   1666, Loss  0.879559, Average Loss  0.867159, Time  0.235170
2021-09-22 12:50:22.975775 : Epoch  5, Batch   1667, Loss  0.865282, Average Loss  0.867216, Time  0.235863
2021-09-22 12:50:25.594806 : Epoch  5, Batch   1668, Loss  0.883991, Average Loss  0.867228, Time  0.234958
2021-09-22 12:50:28.207326 : Epoch  5, Batch   1669, Loss  0.850763, Average Loss  0.867148, Time  0.235229
2021-09-22 12:50:30.840755 : Epoch  5, Batch   1670, Loss  0.871037, Average Loss  0.867168, Time  0.234477
2021-09-22 12:50:33.488992 : Epoch  5, Batch   1671, Loss  0.852226, Average Loss  0.867061, Time  0.235187
2021-09-22 12:50:36.099940 : Epoch  5, Batch   1672, Loss  0.868363, Average Loss  0.867255, Time  0.234987
2021-09-22 12:50:38.712004 : Epoch  5, Batch   1673, Loss  0.869823, Average Loss  0.867278, Time  0.235054
2021-09-22 12:50:41.323005 : Epoch  5, Batch   1674, Loss  0.860974, Average Loss  0.867157, Time  0.235514
2021-09-22 12:50:43.939121 : Epoch  5, Batch   1675, Loss  0.870817, Average Loss  0.867245, Time  0.235658
2021-09-22 12:50:46.554838 : Epoch  5, Batch   1676, Loss  0.872925, Average Loss  0.867389, Time  0.235070
2021-09-22 12:54:52.380721 : CheckPoint: Validation Loss  0.00030747, Best Loss  0.00029393
2021-09-22 12:54:55.011998 : Epoch  5, Batch   1677, Loss  0.885311, Average Loss  0.867437, Time  0.239414
2021-09-22 12:54:57.638743 : Epoch  5, Batch   1678, Loss  0.854058, Average Loss  0.867468, Time  0.235029
2021-09-22 12:55:00.271527 : Epoch  5, Batch   1679, Loss  0.847937, Average Loss  0.867394, Time  0.235255
2021-09-22 12:55:02.925034 : Epoch  5, Batch   1680, Loss  0.860481, Average Loss  0.867371, Time  0.234864
2021-09-22 12:55:05.581257 : Epoch  5, Batch   1681, Loss  0.850400, Average Loss  0.867273, Time  0.235088
2021-09-22 12:55:08.198355 : Epoch  5, Batch   1682, Loss  0.890000, Average Loss  0.867328, Time  0.235435
2021-09-22 12:55:10.834907 : Epoch  5, Batch   1683, Loss  0.869428, Average Loss  0.867306, Time  0.235895
2021-09-22 12:55:13.452358 : Epoch  5, Batch   1684, Loss  0.861397, Average Loss  0.867238, Time  0.235754
2021-09-22 12:55:16.072588 : Epoch  5, Batch   1685, Loss  0.868238, Average Loss  0.867227, Time  0.234919
2021-09-22 12:55:18.684636 : Epoch  5, Batch   1686, Loss  0.851000, Average Loss  0.867067, Time  0.234692
2021-09-22 12:55:21.299050 : Epoch  5, Batch   1687, Loss  0.852836, Average Loss  0.866948, Time  0.235577
2021-09-22 12:55:23.917311 : Epoch  5, Batch   1688, Loss  0.884527, Average Loss  0.866954, Time  0.235831
2021-09-22 12:55:26.539142 : Epoch  5, Batch   1689, Loss  0.872819, Average Loss  0.866959, Time  0.235044
2021-09-22 12:55:29.190910 : Epoch  5, Batch   1690, Loss  0.876302, Average Loss  0.867011, Time  0.234953
2021-09-22 12:55:31.798143 : Epoch  5, Batch   1691, Loss  0.869270, Average Loss  0.867010, Time  0.235429
2021-09-22 12:55:34.404027 : Epoch  5, Batch   1692, Loss  0.882739, Average Loss  0.866975, Time  0.235834
2021-09-22 12:55:37.020825 : Epoch  5, Batch   1693, Loss  0.881016, Average Loss  0.867081, Time  0.235098
2021-09-22 12:55:39.644066 : Epoch  5, Batch   1694, Loss  0.878249, Average Loss  0.867168, Time  0.237509
2021-09-22 12:55:42.254943 : Epoch  5, Batch   1695, Loss  0.860056, Average Loss  0.867166, Time  0.234983
2021-09-22 12:55:44.874908 : Epoch  5, Batch   1696, Loss  0.863786, Average Loss  0.867166, Time  0.235621
2021-09-22 12:55:47.488134 : Epoch  5, Batch   1697, Loss  0.876640, Average Loss  0.867307, Time  0.235851
2021-09-22 12:55:50.094821 : Epoch  5, Batch   1698, Loss  0.884531, Average Loss  0.867313, Time  0.235088
2021-09-22 12:55:52.711788 : Epoch  5, Batch   1699, Loss  0.858991, Average Loss  0.867243, Time  0.236273
2021-09-22 12:55:55.333808 : Epoch  5, Batch   1700, Loss  0.872804, Average Loss  0.867322, Time  0.236019
2021-09-22 12:55:57.945934 : Epoch  5, Batch   1701, Loss  0.875451, Average Loss  0.867309, Time  0.235201
2021-09-22 12:56:00.556088 : Epoch  5, Batch   1702, Loss  0.846910, Average Loss  0.867187, Time  0.235051
2021-09-22 12:56:03.163836 : Epoch  5, Batch   1703, Loss  0.883487, Average Loss  0.867234, Time  0.235114
2021-09-22 12:56:05.787833 : Epoch  5, Batch   1704, Loss  0.855617, Average Loss  0.867159, Time  0.234958
2021-09-22 12:56:08.398254 : Epoch  5, Batch   1705, Loss  0.852053, Average Loss  0.867046, Time  0.235098
2021-09-22 12:56:11.013293 : Epoch  5, Batch   1706, Loss  0.873824, Average Loss  0.866981, Time  0.234945
2021-09-22 12:56:13.631170 : Epoch  5, Batch   1707, Loss  0.877350, Average Loss  0.866980, Time  0.235708
2021-09-22 12:56:16.238071 : Epoch  5, Batch   1708, Loss  0.876317, Average Loss  0.866993, Time  0.235273
2021-09-22 12:56:18.846929 : Epoch  5, Batch   1709, Loss  0.878607, Average Loss  0.867024, Time  0.235135
2021-09-22 12:56:21.478204 : Epoch  5, Batch   1710, Loss  0.866910, Average Loss  0.867022, Time  0.235585
2021-09-22 12:56:24.088865 : Epoch  5, Batch   1711, Loss  0.864955, Average Loss  0.866984, Time  0.235292
2021-09-22 12:56:26.718557 : Epoch  5, Batch   1712, Loss  0.866663, Average Loss  0.866877, Time  0.234532
2021-09-22 12:56:29.324287 : Epoch  5, Batch   1713, Loss  0.867812, Average Loss  0.866904, Time  0.234622
2021-09-22 12:56:31.939878 : Epoch  5, Batch   1714, Loss  0.874230, Average Loss  0.866950, Time  0.235157
2021-09-22 12:56:34.555873 : Epoch  5, Batch   1715, Loss  0.859936, Average Loss  0.866907, Time  0.235367
2021-09-22 12:56:37.170071 : Epoch  5, Batch   1716, Loss  0.861832, Average Loss  0.866789, Time  0.235127
2021-09-22 12:56:39.798787 : Epoch  5, Batch   1717, Loss  0.871631, Average Loss  0.866785, Time  0.236756
2021-09-22 12:56:42.415263 : Epoch  5, Batch   1718, Loss  0.859115, Average Loss  0.866761, Time  0.235252
2021-09-22 12:56:45.051152 : Epoch  5, Batch   1719, Loss  0.877254, Average Loss  0.866799, Time  0.235868
2021-09-22 12:56:47.667588 : Epoch  5, Batch   1720, Loss  0.866405, Average Loss  0.866717, Time  0.235309
2021-09-22 12:56:50.283803 : Epoch  5, Batch   1721, Loss  0.872521, Average Loss  0.866701, Time  0.239494
2021-09-22 12:56:52.900703 : Epoch  5, Batch   1722, Loss  0.879283, Average Loss  0.866764, Time  0.235542
2021-09-22 12:56:55.526043 : Epoch  5, Batch   1723, Loss  0.880553, Average Loss  0.866799, Time  0.236001
2021-09-22 12:56:58.139096 : Epoch  5, Batch   1724, Loss  0.850861, Average Loss  0.866634, Time  0.235028
2021-09-22 12:57:00.752124 : Epoch  5, Batch   1725, Loss  0.888959, Average Loss  0.866829, Time  0.235189
2021-09-22 12:57:03.367785 : Epoch  5, Batch   1726, Loss  0.886618, Average Loss  0.867002, Time  0.235306
2021-09-22 12:57:06.001990 : Epoch  5, Batch   1727, Loss  0.864275, Average Loss  0.866945, Time  0.234844
2021-09-22 12:57:08.618966 : Epoch  5, Batch   1728, Loss  0.885507, Average Loss  0.867109, Time  0.234589
2021-09-22 12:57:11.243764 : Epoch  5, Batch   1729, Loss  0.874421, Average Loss  0.867154, Time  0.235199
2021-09-22 12:57:13.867079 : Epoch  5, Batch   1730, Loss  0.863672, Average Loss  0.867163, Time  0.234859
2021-09-22 12:57:16.481183 : Epoch  5, Batch   1731, Loss  0.868109, Average Loss  0.867141, Time  0.235224
2021-09-22 12:57:19.097839 : Epoch  5, Batch   1732, Loss  0.878134, Average Loss  0.867183, Time  0.235935
2021-09-22 12:57:21.720285 : Epoch  5, Batch   1733, Loss  0.901760, Average Loss  0.867315, Time  0.235103
2021-09-22 12:57:24.364981 : Epoch  5, Batch   1734, Loss  0.851493, Average Loss  0.867180, Time  0.235288
2021-09-22 12:57:26.983875 : Epoch  5, Batch   1735, Loss  0.866779, Average Loss  0.867102, Time  0.235004
2021-09-22 12:57:29.594969 : Epoch  5, Batch   1736, Loss  0.865017, Average Loss  0.867203, Time  0.235094
2021-09-22 12:57:32.210829 : Epoch  5, Batch   1737, Loss  0.856378, Average Loss  0.867054, Time  0.234895
2021-09-22 12:57:34.812040 : Epoch  5, Batch   1738, Loss  0.865024, Average Loss  0.867059, Time  0.234693
2021-09-22 12:57:37.431882 : Epoch  5, Batch   1739, Loss  0.873402, Average Loss  0.867060, Time  0.235759
2021-09-22 12:57:40.059837 : Epoch  5, Batch   1740, Loss  0.885949, Average Loss  0.867005, Time  0.237034
2021-09-22 12:57:42.671266 : Epoch  5, Batch   1741, Loss  0.897667, Average Loss  0.867199, Time  0.234659
2021-09-22 12:57:45.285757 : Epoch  5, Batch   1742, Loss  0.882492, Average Loss  0.867173, Time  0.235689
2021-09-22 12:57:47.901073 : Epoch  5, Batch   1743, Loss  0.865026, Average Loss  0.867161, Time  0.237018
2021-09-22 12:57:50.509866 : Epoch  5, Batch   1744, Loss  0.848189, Average Loss  0.867091, Time  0.235549
2021-09-22 12:57:53.132755 : Epoch  5, Batch   1745, Loss  0.853137, Average Loss  0.867086, Time  0.236045
2021-09-22 12:57:55.750767 : Epoch  5, Batch   1746, Loss  0.846573, Average Loss  0.866924, Time  0.235707
2021-09-22 12:57:58.365939 : Epoch  5, Batch   1747, Loss  0.855836, Average Loss  0.866893, Time  0.235560
2021-09-22 12:58:00.996988 : Epoch  5, Batch   1748, Loss  0.874779, Average Loss  0.866908, Time  0.235656
2021-09-22 12:58:03.608944 : Epoch  5, Batch   1749, Loss  0.884163, Average Loss  0.866884, Time  0.235388
2021-09-22 12:58:06.219775 : Epoch  5, Batch   1750, Loss  0.869509, Average Loss  0.866944, Time  0.238012
2021-09-22 12:58:08.825948 : Epoch  5, Batch   1751, Loss  0.861871, Average Loss  0.866843, Time  0.234840
2021-09-22 12:58:11.434016 : Epoch  5, Batch   1752, Loss  0.875737, Average Loss  0.866851, Time  0.235263
2021-09-22 12:58:14.044069 : Epoch  5, Batch   1753, Loss  0.886919, Average Loss  0.867118, Time  0.234587
2021-09-22 12:58:16.652331 : Epoch  5, Batch   1754, Loss  0.874487, Average Loss  0.867149, Time  0.234334
2021-09-22 12:58:19.264252 : Epoch  5, Batch   1755, Loss  0.868295, Average Loss  0.867178, Time  0.234589
2021-09-22 12:58:21.890951 : Epoch  5, Batch   1756, Loss  0.870918, Average Loss  0.867275, Time  0.234406
2021-09-22 12:58:24.507854 : Epoch  5, Batch   1757, Loss  0.865458, Average Loss  0.867384, Time  0.235956
2021-09-22 12:58:27.130339 : Epoch  5, Batch   1758, Loss  0.872136, Average Loss  0.867361, Time  0.235142
2021-09-22 12:58:29.732237 : Epoch  5, Batch   1759, Loss  0.865021, Average Loss  0.867365, Time  0.234556
2021-09-22 12:58:32.362019 : Epoch  5, Batch   1760, Loss  0.878162, Average Loss  0.867598, Time  0.235497
2021-09-22 12:58:34.968117 : Epoch  5, Batch   1761, Loss  0.865806, Average Loss  0.867579, Time  0.234767
2021-09-22 12:58:37.579945 : Epoch  5, Batch   1762, Loss  0.860959, Average Loss  0.867536, Time  0.235202
2021-09-22 12:58:40.234237 : Epoch  5, Batch   1763, Loss  0.872719, Average Loss  0.867654, Time  0.235069
2021-09-22 12:58:42.851128 : Epoch  5, Batch   1764, Loss  0.863445, Average Loss  0.867670, Time  0.235537
2021-09-22 12:58:45.473811 : Epoch  5, Batch   1765, Loss  0.858470, Average Loss  0.867764, Time  0.235710
2021-09-22 12:58:48.098035 : Epoch  5, Batch   1766, Loss  0.855724, Average Loss  0.867680, Time  0.235735
2021-09-22 12:58:50.714807 : Epoch  5, Batch   1767, Loss  0.852395, Average Loss  0.867656, Time  0.242859
2021-09-22 12:58:53.333306 : Epoch  5, Batch   1768, Loss  0.883181, Average Loss  0.867731, Time  0.234358
2021-09-22 12:58:55.951932 : Epoch  5, Batch   1769, Loss  0.888926, Average Loss  0.867853, Time  0.235152
2021-09-22 12:58:58.563842 : Epoch  5, Batch   1770, Loss  0.876264, Average Loss  0.867967, Time  0.234907
2021-09-22 12:59:01.172905 : Epoch  5, Batch   1771, Loss  0.860407, Average Loss  0.867782, Time  0.234635
2021-09-22 12:59:03.785312 : Epoch  5, Batch   1772, Loss  0.886484, Average Loss  0.867907, Time  0.234876
2021-09-22 12:59:06.396763 : Epoch  5, Batch   1773, Loss  0.865063, Average Loss  0.867818, Time  0.234910
2021-09-22 12:59:09.018812 : Epoch  5, Batch   1774, Loss  0.875089, Average Loss  0.867922, Time  0.234520
2021-09-22 12:59:11.652599 : Epoch  5, Batch   1775, Loss  0.863756, Average Loss  0.867893, Time  0.235518
2021-09-22 12:59:14.274834 : Epoch  5, Batch   1776, Loss  0.886284, Average Loss  0.868028, Time  0.234973
2021-09-22 13:03:20.384705 : CheckPoint: Validation Loss  0.00029911, Best Loss  0.00029393
2021-09-22 13:03:22.998048 : Epoch  5, Batch   1777, Loss  0.892388, Average Loss  0.868129, Time  0.236352
2021-09-22 13:03:25.613556 : Epoch  5, Batch   1778, Loss  0.869668, Average Loss  0.868087, Time  0.235156
2021-09-22 13:03:28.232869 : Epoch  5, Batch   1779, Loss  0.863806, Average Loss  0.868110, Time  0.234602
2021-09-22 13:03:30.840351 : Epoch  5, Batch   1780, Loss  0.893227, Average Loss  0.868232, Time  0.234373
2021-09-22 13:03:33.453850 : Epoch  5, Batch   1781, Loss  0.851802, Average Loss  0.868138, Time  0.236031
2021-09-22 13:03:36.070305 : Epoch  5, Batch   1782, Loss  0.853669, Average Loss  0.868136, Time  0.235576
2021-09-22 13:03:38.682844 : Epoch  5, Batch   1783, Loss  0.871395, Average Loss  0.868214, Time  0.234494
2021-09-22 13:03:41.288215 : Epoch  5, Batch   1784, Loss  0.890074, Average Loss  0.868222, Time  0.235086
2021-09-22 13:03:43.907680 : Epoch  5, Batch   1785, Loss  0.859107, Average Loss  0.868215, Time  0.235070
2021-09-22 13:03:46.535997 : Epoch  5, Batch   1786, Loss  0.865162, Average Loss  0.868222, Time  0.234980
2021-09-22 13:03:49.144079 : Epoch  5, Batch   1787, Loss  0.886213, Average Loss  0.868317, Time  0.234923
2021-09-22 13:03:51.768360 : Epoch  5, Batch   1788, Loss  0.864016, Average Loss  0.868326, Time  0.235672
2021-09-22 13:03:54.384239 : Epoch  5, Batch   1789, Loss  0.876193, Average Loss  0.868317, Time  0.234960
2021-09-22 13:03:56.997620 : Epoch  5, Batch   1790, Loss  0.863329, Average Loss  0.868410, Time  0.235205
2021-09-22 13:03:59.623513 : Epoch  5, Batch   1791, Loss  0.871968, Average Loss  0.868404, Time  0.235052
2021-09-22 13:04:02.242307 : Epoch  5, Batch   1792, Loss  0.889109, Average Loss  0.868618, Time  0.234926
2021-09-22 13:04:04.869274 : Epoch  5, Batch   1793, Loss  0.876086, Average Loss  0.868699, Time  0.234426
2021-09-22 13:04:07.492126 : Epoch  5, Batch   1794, Loss  0.872470, Average Loss  0.868855, Time  0.235272
2021-09-22 13:04:10.109192 : Epoch  5, Batch   1795, Loss  0.873648, Average Loss  0.868853, Time  0.234903
2021-09-22 13:04:12.726754 : Epoch  5, Batch   1796, Loss  0.868755, Average Loss  0.868811, Time  0.234827
2021-09-22 13:04:15.351933 : Epoch  5, Batch   1797, Loss  0.857013, Average Loss  0.868870, Time  0.235123
2021-09-22 13:04:17.973286 : Epoch  5, Batch   1798, Loss  0.823150, Average Loss  0.868640, Time  0.234466
2021-09-22 13:04:20.596479 : Epoch  5, Batch   1799, Loss  0.885885, Average Loss  0.868703, Time  0.235755
2021-09-22 13:04:23.208893 : Epoch  5, Batch   1800, Loss  0.858647, Average Loss  0.868636, Time  0.234767
2021-09-22 13:04:25.831778 : Epoch  5, Batch   1801, Loss  0.878170, Average Loss  0.868646, Time  0.235430
2021-09-22 13:04:28.449180 : Epoch  5, Batch   1802, Loss  0.862838, Average Loss  0.868626, Time  0.234599
2021-09-22 13:04:31.065756 : Epoch  5, Batch   1803, Loss  0.846609, Average Loss  0.868461, Time  0.234896
2021-09-22 13:04:33.691011 : Epoch  5, Batch   1804, Loss  0.851468, Average Loss  0.868485, Time  0.234980
2021-09-22 13:04:36.319991 : Epoch  5, Batch   1805, Loss  0.881590, Average Loss  0.868604, Time  0.236506
2021-09-22 13:04:38.991228 : Epoch  5, Batch   1806, Loss  0.861693, Average Loss  0.868650, Time  0.251089
2021-09-22 13:04:41.609206 : Epoch  5, Batch   1807, Loss  0.878505, Average Loss  0.868857, Time  0.236326
2021-09-22 13:04:44.233787 : Epoch  5, Batch   1808, Loss  0.875966, Average Loss  0.869008, Time  0.235244
2021-09-22 13:04:46.875504 : Epoch  5, Batch   1809, Loss  0.880460, Average Loss  0.869130, Time  0.235096
2021-09-22 13:04:49.496188 : Epoch  5, Batch   1810, Loss  0.865909, Average Loss  0.869098, Time  0.235355
2021-09-22 13:04:52.107775 : Epoch  5, Batch   1811, Loss  0.870153, Average Loss  0.869236, Time  0.235111
2021-09-22 13:04:54.730996 : Epoch  5, Batch   1812, Loss  0.895996, Average Loss  0.869394, Time  0.235566
2021-09-22 13:04:57.356337 : Epoch  5, Batch   1813, Loss  0.877440, Average Loss  0.869435, Time  0.237453
2021-09-22 13:05:00.073945 : Epoch  5, Batch   1814, Loss  0.873105, Average Loss  0.869411, Time  0.235182
2021-09-22 13:05:02.709505 : Epoch  5, Batch   1815, Loss  0.855641, Average Loss  0.869471, Time  0.234725
2021-09-22 13:05:05.343804 : Epoch  5, Batch   1816, Loss  0.897425, Average Loss  0.869606, Time  0.234736
2021-09-22 13:05:07.958114 : Epoch  5, Batch   1817, Loss  0.871091, Average Loss  0.869614, Time  0.234907
2021-09-22 13:05:10.615215 : Epoch  5, Batch   1818, Loss  0.865384, Average Loss  0.869459, Time  0.235292
2021-09-22 13:05:13.240501 : Epoch  5, Batch   1819, Loss  0.886062, Average Loss  0.869481, Time  0.234899
2021-09-22 13:05:15.864304 : Epoch  5, Batch   1820, Loss  0.861741, Average Loss  0.869468, Time  0.235396
2021-09-22 13:05:18.505786 : Epoch  5, Batch   1821, Loss  0.882832, Average Loss  0.869426, Time  0.235243
2021-09-22 13:05:21.122441 : Epoch  5, Batch   1822, Loss  0.877633, Average Loss  0.869385, Time  0.235329
2021-09-22 13:05:23.736287 : Epoch  5, Batch   1823, Loss  0.863463, Average Loss  0.869463, Time  0.235819
2021-09-22 13:05:26.346567 : Epoch  5, Batch   1824, Loss  0.881180, Average Loss  0.869487, Time  0.234933
2021-09-22 13:05:28.959633 : Epoch  5, Batch   1825, Loss  0.883393, Average Loss  0.869560, Time  0.235298
2021-09-22 13:05:31.573110 : Epoch  5, Batch   1826, Loss  0.881062, Average Loss  0.869569, Time  0.234553
2021-09-22 13:05:34.189572 : Epoch  5, Batch   1827, Loss  0.870287, Average Loss  0.869543, Time  0.234964
2021-09-22 13:05:36.809162 : Epoch  5, Batch   1828, Loss  0.881715, Average Loss  0.869583, Time  0.236090
2021-09-22 13:05:39.440126 : Epoch  5, Batch   1829, Loss  0.874441, Average Loss  0.869594, Time  0.236442
2021-09-22 13:05:42.052837 : Epoch  5, Batch   1830, Loss  0.869703, Average Loss  0.869573, Time  0.234678
2021-09-22 13:05:44.676921 : Epoch  5, Batch   1831, Loss  0.859296, Average Loss  0.869529, Time  0.236000
2021-09-22 13:05:47.287488 : Epoch  5, Batch   1832, Loss  0.869669, Average Loss  0.869591, Time  0.234500
2021-09-22 13:05:49.910022 : Epoch  5, Batch   1833, Loss  0.871441, Average Loss  0.869587, Time  0.235803
2021-09-22 13:05:52.528852 : Epoch  5, Batch   1834, Loss  0.861196, Average Loss  0.869555, Time  0.235353
2021-09-22 13:05:55.153459 : Epoch  5, Batch   1835, Loss  0.862230, Average Loss  0.869551, Time  0.234715
2021-09-22 13:05:57.768823 : Epoch  5, Batch   1836, Loss  0.867934, Average Loss  0.869625, Time  0.235014
2021-09-22 13:06:00.391180 : Epoch  5, Batch   1837, Loss  0.865996, Average Loss  0.869612, Time  0.234879
2021-09-22 13:06:03.010821 : Epoch  5, Batch   1838, Loss  0.882196, Average Loss  0.869736, Time  0.235543
2021-09-22 13:06:05.637924 : Epoch  5, Batch   1839, Loss  0.857615, Average Loss  0.869697, Time  0.235143
2021-09-22 13:06:08.261786 : Epoch  5, Batch   1840, Loss  0.862637, Average Loss  0.869686, Time  0.235531
2021-09-22 13:06:10.892268 : Epoch  5, Batch   1841, Loss  0.872175, Average Loss  0.869746, Time  0.235836
2021-09-22 13:06:13.514969 : Epoch  5, Batch   1842, Loss  0.849171, Average Loss  0.869719, Time  0.234548
2021-09-22 13:06:16.141271 : Epoch  5, Batch   1843, Loss  0.871928, Average Loss  0.869794, Time  0.234796
2021-09-22 13:06:18.758969 : Epoch  5, Batch   1844, Loss  0.871824, Average Loss  0.869810, Time  0.234653
2021-09-22 13:06:21.393810 : Epoch  5, Batch   1845, Loss  0.854251, Average Loss  0.869767, Time  0.234710
2021-09-22 13:06:24.004778 : Epoch  5, Batch   1846, Loss  0.863677, Average Loss  0.869748, Time  0.234949
2021-09-22 13:06:26.618236 : Epoch  5, Batch   1847, Loss  0.862603, Average Loss  0.869643, Time  0.235094
2021-09-22 13:06:29.241235 : Epoch  5, Batch   1848, Loss  0.861665, Average Loss  0.869626, Time  0.235076
2021-09-22 13:06:31.859099 : Epoch  5, Batch   1849, Loss  0.889298, Average Loss  0.869651, Time  0.234800
2021-09-22 13:06:34.480515 : Epoch  5, Batch   1850, Loss  0.892689, Average Loss  0.869773, Time  0.234545
2021-09-22 13:06:37.112748 : Epoch  5, Batch   1851, Loss  0.877817, Average Loss  0.869801, Time  0.235537
2021-09-22 13:06:39.742143 : Epoch  5, Batch   1852, Loss  0.855984, Average Loss  0.869783, Time  0.235632
2021-09-22 13:06:42.368709 : Epoch  5, Batch   1853, Loss  0.875767, Average Loss  0.869761, Time  0.234681
2021-09-22 13:06:44.990894 : Epoch  5, Batch   1854, Loss  0.862714, Average Loss  0.869737, Time  0.236021
2021-09-22 13:06:47.604439 : Epoch  5, Batch   1855, Loss  0.882438, Average Loss  0.869968, Time  0.234961
2021-09-22 13:06:50.226845 : Epoch  5, Batch   1856, Loss  0.883670, Average Loss  0.870040, Time  0.235248
2021-09-22 13:06:50.263576 : Saving Model after 5-th Epoch.
2021-09-22 13:06:51.005608 : Epoch Finished.
2021-09-22 13:07:00.003635 : Batch Shuffled
2021-09-22 13:07:02.650246 : Epoch  6, Batch      1, Loss  0.860559, Average Loss  0.870015, Time  0.263565
2021-09-22 13:07:05.255000 : Epoch  6, Batch      2, Loss  0.867136, Average Loss  0.870067, Time  0.239992
2021-09-22 13:07:07.863470 : Epoch  6, Batch      3, Loss  0.885436, Average Loss  0.870131, Time  0.234694
2021-09-22 13:07:10.471002 : Epoch  6, Batch      4, Loss  0.890618, Average Loss  0.870226, Time  0.235603
2021-09-22 13:07:13.079303 : Epoch  6, Batch      5, Loss  0.859191, Average Loss  0.870130, Time  0.234597
2021-09-22 13:07:15.677280 : Epoch  6, Batch      6, Loss  0.844171, Average Loss  0.870051, Time  0.235662
2021-09-22 13:07:18.280532 : Epoch  6, Batch      7, Loss  0.853541, Average Loss  0.869958, Time  0.235265
2021-09-22 13:07:20.886784 : Epoch  6, Batch      8, Loss  0.870678, Average Loss  0.869943, Time  0.234517
2021-09-22 13:07:23.501799 : Epoch  6, Batch      9, Loss  0.882811, Average Loss  0.870034, Time  0.235133
2021-09-22 13:07:26.103877 : Epoch  6, Batch     10, Loss  0.893833, Average Loss  0.870105, Time  0.234622
2021-09-22 13:07:28.708462 : Epoch  6, Batch     11, Loss  0.860971, Average Loss  0.870084, Time  0.235022
2021-09-22 13:07:31.322027 : Epoch  6, Batch     12, Loss  0.864902, Average Loss  0.869988, Time  0.234862
2021-09-22 13:07:33.927610 : Epoch  6, Batch     13, Loss  0.892996, Average Loss  0.870199, Time  0.234768
2021-09-22 13:07:36.547754 : Epoch  6, Batch     14, Loss  0.858791, Average Loss  0.870138, Time  0.234951
2021-09-22 13:07:39.165504 : Epoch  6, Batch     15, Loss  0.854049, Average Loss  0.870147, Time  0.235987
2021-09-22 13:07:41.780285 : Epoch  6, Batch     16, Loss  0.862483, Average Loss  0.870118, Time  0.235741
2021-09-22 13:07:44.393906 : Epoch  6, Batch     17, Loss  0.868125, Average Loss  0.870109, Time  0.234637
2021-09-22 13:07:47.012274 : Epoch  6, Batch     18, Loss  0.855089, Average Loss  0.870080, Time  0.234877
2021-09-22 13:07:49.620309 : Epoch  6, Batch     19, Loss  0.886472, Average Loss  0.870158, Time  0.235308
2021-09-22 13:07:52.225389 : Epoch  6, Batch     20, Loss  0.901247, Average Loss  0.870300, Time  0.235142
2021-09-22 13:11:57.591757 : CheckPoint: Validation Loss  0.00031035, Best Loss  0.00029393
2021-09-22 13:12:00.209878 : Epoch  6, Batch     21, Loss  0.886877, Average Loss  0.870308, Time  0.237588
2021-09-22 13:12:02.830930 : Epoch  6, Batch     22, Loss  0.876587, Average Loss  0.870420, Time  0.235133
2021-09-22 13:12:05.446216 : Epoch  6, Batch     23, Loss  0.890529, Average Loss  0.870633, Time  0.234754
2021-09-22 13:12:08.071124 : Epoch  6, Batch     24, Loss  0.861426, Average Loss  0.870638, Time  0.235040
2021-09-22 13:12:10.696781 : Epoch  6, Batch     25, Loss  0.865271, Average Loss  0.870712, Time  0.235158
2021-09-22 13:12:13.326247 : Epoch  6, Batch     26, Loss  0.866621, Average Loss  0.870595, Time  0.238807
2021-09-22 13:12:15.946474 : Epoch  6, Batch     27, Loss  0.872813, Average Loss  0.870612, Time  0.235249
2021-09-22 13:12:18.626924 : Epoch  6, Batch     28, Loss  0.857633, Average Loss  0.870593, Time  0.234781
2021-09-22 13:12:21.249983 : Epoch  6, Batch     29, Loss  0.864696, Average Loss  0.870576, Time  0.235463
2021-09-22 13:12:23.869325 : Epoch  6, Batch     30, Loss  0.858430, Average Loss  0.870613, Time  0.235093
2021-09-22 13:12:26.494985 : Epoch  6, Batch     31, Loss  0.882975, Average Loss  0.870764, Time  0.234655
2021-09-22 13:12:29.114826 : Epoch  6, Batch     32, Loss  0.872826, Average Loss  0.870705, Time  0.239606
2021-09-22 13:12:31.722566 : Epoch  6, Batch     33, Loss  0.860329, Average Loss  0.870643, Time  0.235717
2021-09-22 13:12:34.341915 : Epoch  6, Batch     34, Loss  0.884952, Average Loss  0.870686, Time  0.234905
2021-09-22 13:12:36.960872 : Epoch  6, Batch     35, Loss  0.867216, Average Loss  0.870676, Time  0.235292
2021-09-22 13:12:39.601024 : Epoch  6, Batch     36, Loss  0.854936, Average Loss  0.870537, Time  0.235922
2021-09-22 13:12:42.212322 : Epoch  6, Batch     37, Loss  0.865773, Average Loss  0.870460, Time  0.234548
2021-09-22 13:12:44.827501 : Epoch  6, Batch     38, Loss  0.868831, Average Loss  0.870413, Time  0.234904
2021-09-22 13:12:47.476043 : Epoch  6, Batch     39, Loss  0.890509, Average Loss  0.870566, Time  0.236349
2021-09-22 13:12:50.103329 : Epoch  6, Batch     40, Loss  0.868724, Average Loss  0.870590, Time  0.235505
2021-09-22 13:12:52.728305 : Epoch  6, Batch     41, Loss  0.880425, Average Loss  0.870609, Time  0.236018
2021-09-22 13:12:55.348805 : Epoch  6, Batch     42, Loss  0.881673, Average Loss  0.870595, Time  0.235039
2021-09-22 13:12:57.966260 : Epoch  6, Batch     43, Loss  0.863274, Average Loss  0.870616, Time  0.235386
2021-09-22 13:13:00.580988 : Epoch  6, Batch     44, Loss  0.850665, Average Loss  0.870506, Time  0.235394
2021-09-22 13:13:03.189870 : Epoch  6, Batch     45, Loss  0.882572, Average Loss  0.870541, Time  0.235666
2021-09-22 13:13:05.820976 : Epoch  6, Batch     46, Loss  0.875383, Average Loss  0.870684, Time  0.234527
2021-09-22 13:13:08.431561 : Epoch  6, Batch     47, Loss  0.869295, Average Loss  0.870613, Time  0.235020
2021-09-22 13:13:11.082280 : Epoch  6, Batch     48, Loss  0.860378, Average Loss  0.870636, Time  0.234387
2021-09-22 13:13:13.702778 : Epoch  6, Batch     49, Loss  0.860680, Average Loss  0.870680, Time  0.235255
2021-09-22 13:13:16.310288 : Epoch  6, Batch     50, Loss  0.869691, Average Loss  0.870659, Time  0.234479
2021-09-22 13:13:18.927301 : Epoch  6, Batch     51, Loss  0.879039, Average Loss  0.870667, Time  0.234822
2021-09-22 13:13:21.538461 : Epoch  6, Batch     52, Loss  0.867049, Average Loss  0.870621, Time  0.234413
2021-09-22 13:13:24.152305 : Epoch  6, Batch     53, Loss  0.863140, Average Loss  0.870544, Time  0.235074
2021-09-22 13:13:26.758301 : Epoch  6, Batch     54, Loss  0.892981, Average Loss  0.870674, Time  0.235176
2021-09-22 13:13:29.376295 : Epoch  6, Batch     55, Loss  0.843131, Average Loss  0.870565, Time  0.236068
2021-09-22 13:13:31.991010 : Epoch  6, Batch     56, Loss  0.873996, Average Loss  0.870602, Time  0.234649
2021-09-22 13:13:34.604082 : Epoch  6, Batch     57, Loss  0.863560, Average Loss  0.870580, Time  0.235766
2021-09-22 13:13:37.234272 : Epoch  6, Batch     58, Loss  0.860456, Average Loss  0.870511, Time  0.234304
2021-09-22 13:13:39.869296 : Epoch  6, Batch     59, Loss  0.851954, Average Loss  0.870472, Time  0.235054
2021-09-22 13:13:42.480796 : Epoch  6, Batch     60, Loss  0.892831, Average Loss  0.870627, Time  0.234686
2021-09-22 13:13:45.093829 : Epoch  6, Batch     61, Loss  0.861741, Average Loss  0.870577, Time  0.234952
2021-09-22 13:13:47.712280 : Epoch  6, Batch     62, Loss  0.863447, Average Loss  0.870599, Time  0.238075
2021-09-22 13:13:50.326039 : Epoch  6, Batch     63, Loss  0.872098, Average Loss  0.870573, Time  0.234858
2021-09-22 13:13:52.945976 : Epoch  6, Batch     64, Loss  0.869263, Average Loss  0.870587, Time  0.234901
2021-09-22 13:13:55.569848 : Epoch  6, Batch     65, Loss  0.856317, Average Loss  0.870506, Time  0.235242
2021-09-22 13:13:58.202269 : Epoch  6, Batch     66, Loss  0.876180, Average Loss  0.870491, Time  0.234439
2021-09-22 13:14:00.809078 : Epoch  6, Batch     67, Loss  0.886143, Average Loss  0.870519, Time  0.234615
2021-09-22 13:14:03.412786 : Epoch  6, Batch     68, Loss  0.850978, Average Loss  0.870519, Time  0.235486
2021-09-22 13:14:06.029971 : Epoch  6, Batch     69, Loss  0.879376, Average Loss  0.870471, Time  0.235827
2021-09-22 13:14:08.639915 : Epoch  6, Batch     70, Loss  0.862498, Average Loss  0.870351, Time  0.238971
2021-09-22 13:14:11.250304 : Epoch  6, Batch     71, Loss  0.866619, Average Loss  0.870362, Time  0.235108
2021-09-22 13:14:13.869785 : Epoch  6, Batch     72, Loss  0.865540, Average Loss  0.870263, Time  0.235629
2021-09-22 13:14:16.507258 : Epoch  6, Batch     73, Loss  0.877789, Average Loss  0.870279, Time  0.237795
2021-09-22 13:14:19.118115 : Epoch  6, Batch     74, Loss  0.894283, Average Loss  0.870433, Time  0.234669
2021-09-22 13:14:21.746310 : Epoch  6, Batch     75, Loss  0.858623, Average Loss  0.870385, Time  0.234435
2021-09-22 13:14:24.367346 : Epoch  6, Batch     76, Loss  0.864102, Average Loss  0.870315, Time  0.234646
2021-09-22 13:14:26.979288 : Epoch  6, Batch     77, Loss  0.861969, Average Loss  0.870116, Time  0.235107
2021-09-22 13:14:29.573940 : Epoch  6, Batch     78, Loss  0.836874, Average Loss  0.870043, Time  0.234986
2021-09-22 13:14:32.184416 : Epoch  6, Batch     79, Loss  0.882757, Average Loss  0.870123, Time  0.235341
2021-09-22 13:14:34.807787 : Epoch  6, Batch     80, Loss  0.877261, Average Loss  0.870184, Time  0.235622
2021-09-22 13:14:37.421848 : Epoch  6, Batch     81, Loss  0.896597, Average Loss  0.870385, Time  0.234644
2021-09-22 13:14:40.052324 : Epoch  6, Batch     82, Loss  0.871230, Average Loss  0.870416, Time  0.235130
2021-09-22 13:14:42.670818 : Epoch  6, Batch     83, Loss  0.870717, Average Loss  0.870403, Time  0.235647
2021-09-22 13:14:45.323540 : Epoch  6, Batch     84, Loss  0.897040, Average Loss  0.870458, Time  0.234656
2021-09-22 13:14:47.946777 : Epoch  6, Batch     85, Loss  0.876444, Average Loss  0.870352, Time  0.235091
2021-09-22 13:14:50.586905 : Epoch  6, Batch     86, Loss  0.877487, Average Loss  0.870327, Time  0.235003
2021-09-22 13:14:53.199438 : Epoch  6, Batch     87, Loss  0.850403, Average Loss  0.870254, Time  0.234965
2021-09-22 13:14:55.823038 : Epoch  6, Batch     88, Loss  0.855316, Average Loss  0.870290, Time  0.234850
2021-09-22 13:14:58.438809 : Epoch  6, Batch     89, Loss  0.875333, Average Loss  0.870400, Time  0.234923
2021-09-22 13:15:01.044053 : Epoch  6, Batch     90, Loss  0.862354, Average Loss  0.870479, Time  0.234939
2021-09-22 13:15:03.652806 : Epoch  6, Batch     91, Loss  0.891736, Average Loss  0.870659, Time  0.235460
2021-09-22 13:15:06.277344 : Epoch  6, Batch     92, Loss  0.876821, Average Loss  0.870669, Time  0.234775
2021-09-22 13:15:08.896892 : Epoch  6, Batch     93, Loss  0.877747, Average Loss  0.870637, Time  0.235219
2021-09-22 13:15:11.507025 : Epoch  6, Batch     94, Loss  0.890249, Average Loss  0.870741, Time  0.235272
2021-09-22 13:15:14.120886 : Epoch  6, Batch     95, Loss  0.862773, Average Loss  0.870745, Time  0.235955
2021-09-22 13:15:16.734021 : Epoch  6, Batch     96, Loss  0.872938, Average Loss  0.870731, Time  0.235009
2021-09-22 13:15:19.344494 : Epoch  6, Batch     97, Loss  0.859548, Average Loss  0.870594, Time  0.234767
2021-09-22 13:15:21.949798 : Epoch  6, Batch     98, Loss  0.881516, Average Loss  0.870630, Time  0.236959
2021-09-22 13:15:24.561913 : Epoch  6, Batch     99, Loss  0.852275, Average Loss  0.870549, Time  0.235266
2021-09-22 13:15:27.182300 : Epoch  6, Batch    100, Loss  0.887773, Average Loss  0.870634, Time  0.235340
2021-09-22 13:15:29.799803 : Epoch  6, Batch    101, Loss  0.871042, Average Loss  0.870662, Time  0.235860
2021-09-22 13:15:32.455853 : Epoch  6, Batch    102, Loss  0.870710, Average Loss  0.870655, Time  0.235754
2021-09-22 13:15:35.078004 : Epoch  6, Batch    103, Loss  0.848803, Average Loss  0.870573, Time  0.236516
2021-09-22 13:15:37.700055 : Epoch  6, Batch    104, Loss  0.865801, Average Loss  0.870512, Time  0.239893
2021-09-22 13:15:40.344019 : Epoch  6, Batch    105, Loss  0.882208, Average Loss  0.870594, Time  0.235802
2021-09-22 13:15:42.975369 : Epoch  6, Batch    106, Loss  0.875318, Average Loss  0.870665, Time  0.236247
2021-09-22 13:15:45.635993 : Epoch  6, Batch    107, Loss  0.878058, Average Loss  0.870692, Time  0.236156
2021-09-22 13:15:48.264896 : Epoch  6, Batch    108, Loss  0.863998, Average Loss  0.870695, Time  0.235717
2021-09-22 13:15:50.875458 : Epoch  6, Batch    109, Loss  0.860278, Average Loss  0.870704, Time  0.235105
2021-09-22 13:15:53.489281 : Epoch  6, Batch    110, Loss  0.873630, Average Loss  0.870793, Time  0.235156
2021-09-22 13:15:56.093025 : Epoch  6, Batch    111, Loss  0.864886, Average Loss  0.870856, Time  0.235098
2021-09-22 13:15:58.713398 : Epoch  6, Batch    112, Loss  0.874146, Average Loss  0.870811, Time  0.235391
2021-09-22 13:16:01.333746 : Epoch  6, Batch    113, Loss  0.852690, Average Loss  0.870630, Time  0.235190
2021-09-22 13:16:03.941574 : Epoch  6, Batch    114, Loss  0.862670, Average Loss  0.870562, Time  0.234827
2021-09-22 13:16:06.559153 : Epoch  6, Batch    115, Loss  0.873733, Average Loss  0.870628, Time  0.235190
2021-09-22 13:16:09.173781 : Epoch  6, Batch    116, Loss  0.865697, Average Loss  0.870524, Time  0.235126
2021-09-22 13:16:11.801442 : Epoch  6, Batch    117, Loss  0.869253, Average Loss  0.870545, Time  0.235118
2021-09-22 13:16:14.422171 : Epoch  6, Batch    118, Loss  0.857366, Average Loss  0.870457, Time  0.234514
2021-09-22 13:16:17.032910 : Epoch  6, Batch    119, Loss  0.856807, Average Loss  0.870422, Time  0.235067
2021-09-22 13:16:19.645565 : Epoch  6, Batch    120, Loss  0.867467, Average Loss  0.870328, Time  0.234493
2021-09-22 13:20:24.658716 : CheckPoint: Validation Loss  0.00030251, Best Loss  0.00029393
2021-09-22 13:20:27.270945 : Epoch  6, Batch    121, Loss  0.861029, Average Loss  0.870171, Time  0.236508
2021-09-22 13:20:29.879936 : Epoch  6, Batch    122, Loss  0.848805, Average Loss  0.870067, Time  0.235246
2021-09-22 13:20:32.486975 : Epoch  6, Batch    123, Loss  0.863070, Average Loss  0.870063, Time  0.235076
2021-09-22 13:20:35.106745 : Epoch  6, Batch    124, Loss  0.861519, Average Loss  0.869904, Time  0.235298
2021-09-22 13:20:37.722792 : Epoch  6, Batch    125, Loss  0.878761, Average Loss  0.870039, Time  0.235307
2021-09-22 13:20:40.360311 : Epoch  6, Batch    126, Loss  0.876242, Average Loss  0.870152, Time  0.235077
2021-09-22 13:20:42.974214 : Epoch  6, Batch    127, Loss  0.838673, Average Loss  0.869988, Time  0.235046
2021-09-22 13:20:45.582343 : Epoch  6, Batch    128, Loss  0.856439, Average Loss  0.869820, Time  0.235319
2021-09-22 13:20:48.198239 : Epoch  6, Batch    129, Loss  0.878881, Average Loss  0.869919, Time  0.234725
2021-09-22 13:20:50.792802 : Epoch  6, Batch    130, Loss  0.874325, Average Loss  0.869965, Time  0.235149
2021-09-22 13:20:53.405748 : Epoch  6, Batch    131, Loss  0.881749, Average Loss  0.869943, Time  0.234872
2021-09-22 13:20:56.018752 : Epoch  6, Batch    132, Loss  0.884025, Average Loss  0.870043, Time  0.235202
2021-09-22 13:20:58.621828 : Epoch  6, Batch    133, Loss  0.868923, Average Loss  0.870006, Time  0.234403
2021-09-22 13:21:01.248900 : Epoch  6, Batch    134, Loss  0.859215, Average Loss  0.869986, Time  0.235433
2021-09-22 13:21:03.847189 : Epoch  6, Batch    135, Loss  0.865827, Average Loss  0.869955, Time  0.234992
2021-09-22 13:21:06.445928 : Epoch  6, Batch    136, Loss  0.849476, Average Loss  0.869757, Time  0.234860
2021-09-22 13:21:09.048172 : Epoch  6, Batch    137, Loss  0.893986, Average Loss  0.869846, Time  0.234940
2021-09-22 13:21:11.669943 : Epoch  6, Batch    138, Loss  0.897644, Average Loss  0.869972, Time  0.234232
2021-09-22 13:21:14.266436 : Epoch  6, Batch    139, Loss  0.886401, Average Loss  0.870036, Time  0.234605
2021-09-22 13:21:16.873889 : Epoch  6, Batch    140, Loss  0.901584, Average Loss  0.870200, Time  0.235047
2021-09-22 13:21:19.492284 : Epoch  6, Batch    141, Loss  0.878172, Average Loss  0.870306, Time  0.236076
2021-09-22 13:21:22.113131 : Epoch  6, Batch    142, Loss  0.874326, Average Loss  0.870562, Time  0.236466
2021-09-22 13:21:24.733763 : Epoch  6, Batch    143, Loss  0.881313, Average Loss  0.870539, Time  0.235627
2021-09-22 13:21:27.348793 : Epoch  6, Batch    144, Loss  0.884480, Average Loss  0.870668, Time  0.234973
2021-09-22 13:21:29.967940 : Epoch  6, Batch    145, Loss  0.868352, Average Loss  0.870619, Time  0.235556
2021-09-22 13:21:32.576977 : Epoch  6, Batch    146, Loss  0.870678, Average Loss  0.870658, Time  0.235920
2021-09-22 13:21:35.185836 : Epoch  6, Batch    147, Loss  0.872331, Average Loss  0.870787, Time  0.236349
2021-09-22 13:21:37.799762 : Epoch  6, Batch    148, Loss  0.866384, Average Loss  0.870862, Time  0.234795
2021-09-22 13:21:40.452318 : Epoch  6, Batch    149, Loss  0.863758, Average Loss  0.870772, Time  0.234662
2021-09-22 13:21:43.065279 : Epoch  6, Batch    150, Loss  0.872281, Average Loss  0.870825, Time  0.234586
2021-09-22 13:21:45.667913 : Epoch  6, Batch    151, Loss  0.861123, Average Loss  0.870738, Time  0.235101
2021-09-22 13:21:48.294021 : Epoch  6, Batch    152, Loss  0.855168, Average Loss  0.870634, Time  0.234826
2021-09-22 13:21:50.919059 : Epoch  6, Batch    153, Loss  0.887411, Average Loss  0.870669, Time  0.236481
2021-09-22 13:21:53.527107 : Epoch  6, Batch    154, Loss  0.860365, Average Loss  0.870641, Time  0.236382
2021-09-22 13:21:56.150985 : Epoch  6, Batch    155, Loss  0.864772, Average Loss  0.870615, Time  0.235193
2021-09-22 13:21:58.758763 : Epoch  6, Batch    156, Loss  0.865882, Average Loss  0.870464, Time  0.235244
2021-09-22 13:22:01.369297 : Epoch  6, Batch    157, Loss  0.857267, Average Loss  0.870363, Time  0.235388
2021-09-22 13:22:03.966663 : Epoch  6, Batch    158, Loss  0.876460, Average Loss  0.870380, Time  0.234559
2021-09-22 13:22:06.575502 : Epoch  6, Batch    159, Loss  0.876171, Average Loss  0.870483, Time  0.234902
2021-09-22 13:22:09.181124 : Epoch  6, Batch    160, Loss  0.879872, Average Loss  0.870395, Time  0.234876
2021-09-22 13:22:11.835840 : Epoch  6, Batch    161, Loss  0.868047, Average Loss  0.870380, Time  0.235161
2021-09-22 13:22:14.465026 : Epoch  6, Batch    162, Loss  0.858423, Average Loss  0.870345, Time  0.234473
2021-09-22 13:22:17.071492 : Epoch  6, Batch    163, Loss  0.859850, Average Loss  0.870214, Time  0.235476
2021-09-22 13:22:19.670033 : Epoch  6, Batch    164, Loss  0.902025, Average Loss  0.870415, Time  0.234558
2021-09-22 13:22:22.297197 : Epoch  6, Batch    165, Loss  0.899379, Average Loss  0.870498, Time  0.234973
2021-09-22 13:22:24.898839 : Epoch  6, Batch    166, Loss  0.852664, Average Loss  0.870373, Time  0.234659
2021-09-22 13:22:27.508847 : Epoch  6, Batch    167, Loss  0.857605, Average Loss  0.870344, Time  0.234766
2021-09-22 13:22:30.152271 : Epoch  6, Batch    168, Loss  0.871078, Average Loss  0.870293, Time  0.236331
2021-09-22 13:22:32.751849 : Epoch  6, Batch    169, Loss  0.866546, Average Loss  0.870209, Time  0.235286
2021-09-22 13:22:35.355368 : Epoch  6, Batch    170, Loss  0.876931, Average Loss  0.870188, Time  0.234896
2021-09-22 13:22:37.962029 : Epoch  6, Batch    171, Loss  0.861088, Average Loss  0.870142, Time  0.236062
2021-09-22 13:22:40.792970 : Epoch  6, Batch    172, Loss  0.867835, Average Loss  0.870073, Time  0.255690
2021-09-22 13:22:43.420272 : Epoch  6, Batch    173, Loss  0.886387, Average Loss  0.870133, Time  0.242328
2021-09-22 13:22:46.024525 : Epoch  6, Batch    174, Loss  0.872351, Average Loss  0.870146, Time  0.233927
2021-09-22 13:22:48.642231 : Epoch  6, Batch    175, Loss  0.856622, Average Loss  0.870132, Time  0.234586
2021-09-22 13:22:51.251419 : Epoch  6, Batch    176, Loss  0.863209, Average Loss  0.870100, Time  0.234885
2021-09-22 13:22:53.850435 : Epoch  6, Batch    177, Loss  0.867253, Average Loss  0.870079, Time  0.234829
2021-09-22 13:22:56.451207 : Epoch  6, Batch    178, Loss  0.865022, Average Loss  0.870098, Time  0.234486
2021-09-22 13:22:59.047669 : Epoch  6, Batch    179, Loss  0.883269, Average Loss  0.870204, Time  0.234958
2021-09-22 13:23:01.656024 : Epoch  6, Batch    180, Loss  0.862940, Average Loss  0.870179, Time  0.234384
2021-09-22 13:23:04.261482 : Epoch  6, Batch    181, Loss  0.860932, Average Loss  0.870153, Time  0.234393
2021-09-22 13:23:06.864702 : Epoch  6, Batch    182, Loss  0.869732, Average Loss  0.870091, Time  0.235150
2021-09-22 13:23:09.469891 : Epoch  6, Batch    183, Loss  0.860063, Average Loss  0.870103, Time  0.234616
2021-09-22 13:23:12.064932 : Epoch  6, Batch    184, Loss  0.848591, Average Loss  0.870033, Time  0.234119
2021-09-22 13:23:14.663179 : Epoch  6, Batch    185, Loss  0.887137, Average Loss  0.870108, Time  0.234087
2021-09-22 13:23:17.257599 : Epoch  6, Batch    186, Loss  0.869534, Average Loss  0.870210, Time  0.234612
2021-09-22 13:23:19.863751 : Epoch  6, Batch    187, Loss  0.877637, Average Loss  0.870238, Time  0.234764
2021-09-22 13:23:22.469183 : Epoch  6, Batch    188, Loss  0.874343, Average Loss  0.870251, Time  0.234414
2021-09-22 13:23:25.064646 : Epoch  6, Batch    189, Loss  0.877738, Average Loss  0.870368, Time  0.234522
2021-09-22 13:23:27.655007 : Epoch  6, Batch    190, Loss  0.885141, Average Loss  0.870475, Time  0.234180
2021-09-22 13:23:30.256477 : Epoch  6, Batch    191, Loss  0.871634, Average Loss  0.870521, Time  0.235442
2021-09-22 13:23:32.854213 : Epoch  6, Batch    192, Loss  0.888226, Average Loss  0.870653, Time  0.234720
2021-09-22 13:23:35.462489 : Epoch  6, Batch    193, Loss  0.875327, Average Loss  0.870584, Time  0.236174
2021-09-22 13:23:38.050694 : Epoch  6, Batch    194, Loss  0.862825, Average Loss  0.870434, Time  0.234691
2021-09-22 13:23:40.642775 : Epoch  6, Batch    195, Loss  0.878540, Average Loss  0.870438, Time  0.234567
2021-09-22 13:23:43.236215 : Epoch  6, Batch    196, Loss  0.875195, Average Loss  0.870534, Time  0.233767
2021-09-22 13:23:45.831191 : Epoch  6, Batch    197, Loss  0.863116, Average Loss  0.870471, Time  0.234958
2021-09-22 13:23:48.422054 : Epoch  6, Batch    198, Loss  0.871190, Average Loss  0.870513, Time  0.234771
2021-09-22 13:23:51.045090 : Epoch  6, Batch    199, Loss  0.878749, Average Loss  0.870495, Time  0.235338
2021-09-22 13:23:53.637858 : Epoch  6, Batch    200, Loss  0.862371, Average Loss  0.870388, Time  0.234661
2021-09-22 13:23:56.234727 : Epoch  6, Batch    201, Loss  0.847559, Average Loss  0.870323, Time  0.234652
2021-09-22 13:23:58.830240 : Epoch  6, Batch    202, Loss  0.861374, Average Loss  0.870294, Time  0.234414
2021-09-22 13:24:01.438355 : Epoch  6, Batch    203, Loss  0.869793, Average Loss  0.870216, Time  0.234403
2021-09-22 13:24:04.037886 : Epoch  6, Batch    204, Loss  0.882719, Average Loss  0.870177, Time  0.235229
2021-09-22 13:24:06.648386 : Epoch  6, Batch    205, Loss  0.870880, Average Loss  0.870235, Time  0.234380
2021-09-22 13:24:09.244337 : Epoch  6, Batch    206, Loss  0.881081, Average Loss  0.870420, Time  0.234420
2021-09-22 13:24:11.849260 : Epoch  6, Batch    207, Loss  0.854491, Average Loss  0.870424, Time  0.234403
2021-09-22 13:24:14.445222 : Epoch  6, Batch    208, Loss  0.864243, Average Loss  0.870392, Time  0.234912
2021-09-22 13:24:17.127964 : Epoch  6, Batch    209, Loss  0.892316, Average Loss  0.870440, Time  0.235126
2021-09-22 13:24:19.713051 : Epoch  6, Batch    210, Loss  0.858874, Average Loss  0.870265, Time  0.234335
2021-09-22 13:24:22.313034 : Epoch  6, Batch    211, Loss  0.877276, Average Loss  0.870346, Time  0.235610
2021-09-22 13:24:24.904243 : Epoch  6, Batch    212, Loss  0.871698, Average Loss  0.870380, Time  0.234157
2021-09-22 13:24:27.517118 : Epoch  6, Batch    213, Loss  0.869388, Average Loss  0.870262, Time  0.234526
2021-09-22 13:24:30.136237 : Epoch  6, Batch    214, Loss  0.884642, Average Loss  0.870392, Time  0.235413
2021-09-22 13:24:32.734079 : Epoch  6, Batch    215, Loss  0.857857, Average Loss  0.870411, Time  0.234523
2021-09-22 13:24:35.343239 : Epoch  6, Batch    216, Loss  0.871534, Average Loss  0.870456, Time  0.235452
2021-09-22 13:24:37.950864 : Epoch  6, Batch    217, Loss  0.870170, Average Loss  0.870466, Time  0.234868
2021-09-22 13:24:40.543234 : Epoch  6, Batch    218, Loss  0.870014, Average Loss  0.870541, Time  0.234139
2021-09-22 13:24:43.145025 : Epoch  6, Batch    219, Loss  0.872528, Average Loss  0.870471, Time  0.235888
2021-09-22 13:24:45.788850 : Epoch  6, Batch    220, Loss  0.877468, Average Loss  0.870352, Time  0.234471
2021-09-22 13:28:50.418688 : CheckPoint: Validation Loss  0.00031456, Best Loss  0.00029393
2021-09-22 13:28:53.079711 : Epoch  6, Batch    221, Loss  0.843946, Average Loss  0.870137, Time  0.260938
2021-09-22 13:28:55.673833 : Epoch  6, Batch    222, Loss  0.857400, Average Loss  0.870042, Time  0.236239
2021-09-22 13:28:58.265756 : Epoch  6, Batch    223, Loss  0.880866, Average Loss  0.869993, Time  0.234167
2021-09-22 13:29:00.870746 : Epoch  6, Batch    224, Loss  0.875578, Average Loss  0.870064, Time  0.234784
2021-09-22 13:29:03.469873 : Epoch  6, Batch    225, Loss  0.872107, Average Loss  0.870098, Time  0.234837
2021-09-22 13:29:06.074852 : Epoch  6, Batch    226, Loss  0.862041, Average Loss  0.870075, Time  0.234808
2021-09-22 13:29:08.691772 : Epoch  6, Batch    227, Loss  0.854858, Average Loss  0.869986, Time  0.235295
2021-09-22 13:29:11.309231 : Epoch  6, Batch    228, Loss  0.883120, Average Loss  0.870113, Time  0.234606
2021-09-22 13:29:13.908258 : Epoch  6, Batch    229, Loss  0.852333, Average Loss  0.870051, Time  0.234795
2021-09-22 13:29:16.511157 : Epoch  6, Batch    230, Loss  0.873519, Average Loss  0.870127, Time  0.234405
2021-09-22 13:29:19.106402 : Epoch  6, Batch    231, Loss  0.862381, Average Loss  0.870024, Time  0.234606
2021-09-22 13:29:21.738948 : Epoch  6, Batch    232, Loss  0.866347, Average Loss  0.869991, Time  0.234582
2021-09-22 13:29:24.342778 : Epoch  6, Batch    233, Loss  0.878356, Average Loss  0.870081, Time  0.234817
2021-09-22 13:29:26.951775 : Epoch  6, Batch    234, Loss  0.854282, Average Loss  0.869928, Time  0.235244
2021-09-22 13:29:29.553414 : Epoch  6, Batch    235, Loss  0.900716, Average Loss  0.870095, Time  0.234921
2021-09-22 13:29:32.154789 : Epoch  6, Batch    236, Loss  0.852646, Average Loss  0.870084, Time  0.234939
2021-09-22 13:29:34.765578 : Epoch  6, Batch    237, Loss  0.859625, Average Loss  0.870053, Time  0.234618
2021-09-22 13:29:37.374052 : Epoch  6, Batch    238, Loss  0.859079, Average Loss  0.870005, Time  0.234274
2021-09-22 13:29:39.977279 : Epoch  6, Batch    239, Loss  0.869708, Average Loss  0.869901, Time  0.234728
2021-09-22 13:29:42.581831 : Epoch  6, Batch    240, Loss  0.863027, Average Loss  0.869872, Time  0.234546
2021-09-22 13:29:45.206246 : Epoch  6, Batch    241, Loss  0.867915, Average Loss  0.869810, Time  0.235349
2021-09-22 13:29:47.798791 : Epoch  6, Batch    242, Loss  0.872459, Average Loss  0.869763, Time  0.234588
2021-09-22 13:29:50.394745 : Epoch  6, Batch    243, Loss  0.850268, Average Loss  0.869698, Time  0.234709
2021-09-22 13:29:53.000796 : Epoch  6, Batch    244, Loss  0.872131, Average Loss  0.869806, Time  0.234676
2021-09-22 13:29:55.614215 : Epoch  6, Batch    245, Loss  0.874926, Average Loss  0.869768, Time  0.234847
2021-09-22 13:29:58.218373 : Epoch  6, Batch    246, Loss  0.848005, Average Loss  0.869631, Time  0.234724
2021-09-22 13:30:00.820912 : Epoch  6, Batch    247, Loss  0.847155, Average Loss  0.869520, Time  0.235519
2021-09-22 13:30:03.428730 : Epoch  6, Batch    248, Loss  0.855824, Average Loss  0.869497, Time  0.235259
2021-09-22 13:30:06.058079 : Epoch  6, Batch    249, Loss  0.882507, Average Loss  0.869606, Time  0.234569
2021-09-22 13:30:08.665988 : Epoch  6, Batch    250, Loss  0.891249, Average Loss  0.869714, Time  0.234637
2021-09-22 13:30:11.257859 : Epoch  6, Batch    251, Loss  0.876970, Average Loss  0.869704, Time  0.234138
2021-09-22 13:30:13.846152 : Epoch  6, Batch    252, Loss  0.863886, Average Loss  0.869688, Time  0.234660
2021-09-22 13:30:16.439108 : Epoch  6, Batch    253, Loss  0.857143, Average Loss  0.869658, Time  0.234621
2021-09-22 13:30:19.041065 : Epoch  6, Batch    254, Loss  0.875819, Average Loss  0.869572, Time  0.235387
2021-09-22 13:30:21.646754 : Epoch  6, Batch    255, Loss  0.863191, Average Loss  0.869672, Time  0.234695
2021-09-22 13:30:24.244293 : Epoch  6, Batch    256, Loss  0.879689, Average Loss  0.869701, Time  0.234643
2021-09-22 13:30:26.855203 : Epoch  6, Batch    257, Loss  0.869147, Average Loss  0.869729, Time  0.235598
2021-09-22 13:30:29.465528 : Epoch  6, Batch    258, Loss  0.874419, Average Loss  0.869799, Time  0.234516
2021-09-22 13:30:32.072315 : Epoch  6, Batch    259, Loss  0.881522, Average Loss  0.869946, Time  0.235668
2021-09-22 13:30:34.665157 : Epoch  6, Batch    260, Loss  0.860825, Average Loss  0.869786, Time  0.234420
2021-09-22 13:30:37.269157 : Epoch  6, Batch    261, Loss  0.853372, Average Loss  0.869745, Time  0.234719
2021-09-22 13:30:39.901031 : Epoch  6, Batch    262, Loss  0.881676, Average Loss  0.869836, Time  0.235286
2021-09-22 13:30:42.507562 : Epoch  6, Batch    263, Loss  0.868610, Average Loss  0.869818, Time  0.234695
2021-09-22 13:30:45.107747 : Epoch  6, Batch    264, Loss  0.868870, Average Loss  0.869816, Time  0.235666
2021-09-22 13:30:47.709238 : Epoch  6, Batch    265, Loss  0.867086, Average Loss  0.869870, Time  0.235077
2021-09-22 13:30:50.316195 : Epoch  6, Batch    266, Loss  0.851172, Average Loss  0.869745, Time  0.234046
2021-09-22 13:30:52.907055 : Epoch  6, Batch    267, Loss  0.900009, Average Loss  0.869814, Time  0.234483
2021-09-22 13:30:55.509481 : Epoch  6, Batch    268, Loss  0.871912, Average Loss  0.869919, Time  0.234347
2021-09-22 13:30:58.106983 : Epoch  6, Batch    269, Loss  0.887113, Average Loss  0.869958, Time  0.234506
2021-09-22 13:31:00.706458 : Epoch  6, Batch    270, Loss  0.875438, Average Loss  0.870023, Time  0.234322
2021-09-22 13:31:03.300493 : Epoch  6, Batch    271, Loss  0.877496, Average Loss  0.870077, Time  0.235828
2021-09-22 13:31:05.901288 : Epoch  6, Batch    272, Loss  0.860288, Average Loss  0.870051, Time  0.234035
2021-09-22 13:31:08.547710 : Epoch  6, Batch    273, Loss  0.881613, Average Loss  0.870070, Time  0.234577
2021-09-22 13:31:11.151057 : Epoch  6, Batch    274, Loss  0.854231, Average Loss  0.869870, Time  0.234330
2021-09-22 13:31:13.746479 : Epoch  6, Batch    275, Loss  0.856342, Average Loss  0.869858, Time  0.235121
2021-09-22 13:31:16.335937 : Epoch  6, Batch    276, Loss  0.892550, Average Loss  0.870000, Time  0.234562
2021-09-22 13:31:18.930770 : Epoch  6, Batch    277, Loss  0.885100, Average Loss  0.870116, Time  0.235244
2021-09-22 13:31:21.521010 : Epoch  6, Batch    278, Loss  0.886772, Average Loss  0.870366, Time  0.233999
2021-09-22 13:31:24.127902 : Epoch  6, Batch    279, Loss  0.852612, Average Loss  0.870215, Time  0.235152
2021-09-22 13:31:26.722066 : Epoch  6, Batch    280, Loss  0.874587, Average Loss  0.870201, Time  0.235182
2021-09-22 13:31:29.327082 : Epoch  6, Batch    281, Loss  0.863065, Average Loss  0.870034, Time  0.235549
2021-09-22 13:31:31.925044 : Epoch  6, Batch    282, Loss  0.876803, Average Loss  0.870062, Time  0.234467
2021-09-22 13:31:34.537280 : Epoch  6, Batch    283, Loss  0.874601, Average Loss  0.870081, Time  0.235075
2021-09-22 13:31:37.129721 : Epoch  6, Batch    284, Loss  0.876667, Average Loss  0.869979, Time  0.234076
2021-09-22 13:31:39.727241 : Epoch  6, Batch    285, Loss  0.901997, Average Loss  0.870107, Time  0.234672
2021-09-22 13:31:42.325757 : Epoch  6, Batch    286, Loss  0.888959, Average Loss  0.870164, Time  0.234446
2021-09-22 13:31:44.921228 : Epoch  6, Batch    287, Loss  0.862980, Average Loss  0.870227, Time  0.234803
2021-09-22 13:31:47.516226 : Epoch  6, Batch    288, Loss  0.860437, Average Loss  0.870253, Time  0.234835
2021-09-22 13:31:50.119220 : Epoch  6, Batch    289, Loss  0.851168, Average Loss  0.870132, Time  0.234085
2021-09-22 13:31:52.714013 : Epoch  6, Batch    290, Loss  0.871500, Average Loss  0.870178, Time  0.234051
2021-09-22 13:31:55.304867 : Epoch  6, Batch    291, Loss  0.874887, Average Loss  0.870093, Time  0.234960
2021-09-22 13:31:57.896038 : Epoch  6, Batch    292, Loss  0.871405, Average Loss  0.870066, Time  0.234600
2021-09-22 13:32:00.496487 : Epoch  6, Batch    293, Loss  0.881058, Average Loss  0.870083, Time  0.235882
2021-09-22 13:32:03.091213 : Epoch  6, Batch    294, Loss  0.872926, Average Loss  0.869996, Time  0.233634
2021-09-22 13:32:05.678227 : Epoch  6, Batch    295, Loss  0.858304, Average Loss  0.869974, Time  0.234948
2021-09-22 13:32:08.272841 : Epoch  6, Batch    296, Loss  0.879729, Average Loss  0.870008, Time  0.234990
2021-09-22 13:32:10.881057 : Epoch  6, Batch    297, Loss  0.847503, Average Loss  0.869948, Time  0.234635
2021-09-22 13:32:13.468089 : Epoch  6, Batch    298, Loss  0.866101, Average Loss  0.869871, Time  0.234442
2021-09-22 13:32:16.071142 : Epoch  6, Batch    299, Loss  0.870718, Average Loss  0.869963, Time  0.234273
2021-09-22 13:32:18.680818 : Epoch  6, Batch    300, Loss  0.874506, Average Loss  0.869897, Time  0.235455
2021-09-22 13:32:21.292564 : Epoch  6, Batch    301, Loss  0.874213, Average Loss  0.869912, Time  0.235404
2021-09-22 13:32:23.892235 : Epoch  6, Batch    302, Loss  0.869537, Average Loss  0.869906, Time  0.237571
2021-09-22 13:32:26.494236 : Epoch  6, Batch    303, Loss  0.855445, Average Loss  0.869940, Time  0.235034
2021-09-22 13:32:29.085191 : Epoch  6, Batch    304, Loss  0.863023, Average Loss  0.869926, Time  0.234909
2021-09-22 13:32:31.678166 : Epoch  6, Batch    305, Loss  0.872695, Average Loss  0.869878, Time  0.234073
2021-09-22 13:32:34.288564 : Epoch  6, Batch    306, Loss  0.874284, Average Loss  0.869873, Time  0.234463
2021-09-22 13:32:36.884501 : Epoch  6, Batch    307, Loss  0.866881, Average Loss  0.869817, Time  0.234461
2021-09-22 13:32:39.477252 : Epoch  6, Batch    308, Loss  0.862288, Average Loss  0.869809, Time  0.235691
2021-09-22 13:32:42.105265 : Epoch  6, Batch    309, Loss  0.873447, Average Loss  0.869874, Time  0.234689
2021-09-22 13:32:44.704869 : Epoch  6, Batch    310, Loss  0.873455, Average Loss  0.869874, Time  0.235221
2021-09-22 13:32:47.299772 : Epoch  6, Batch    311, Loss  0.868112, Average Loss  0.869890, Time  0.234830
2021-09-22 13:32:49.907297 : Epoch  6, Batch    312, Loss  0.862869, Average Loss  0.869833, Time  0.234843
2021-09-22 13:32:52.501265 : Epoch  6, Batch    313, Loss  0.857794, Average Loss  0.869859, Time  0.234904
2021-09-22 13:32:55.091240 : Epoch  6, Batch    314, Loss  0.880283, Average Loss  0.869947, Time  0.234001
2021-09-22 13:32:57.681204 : Epoch  6, Batch    315, Loss  0.857108, Average Loss  0.869864, Time  0.235276
2021-09-22 13:33:00.301739 : Epoch  6, Batch    316, Loss  0.877407, Average Loss  0.869922, Time  0.234169
2021-09-22 13:33:02.896801 : Epoch  6, Batch    317, Loss  0.865559, Average Loss  0.869904, Time  0.234924
2021-09-22 13:33:05.485488 : Epoch  6, Batch    318, Loss  0.866141, Average Loss  0.869948, Time  0.234183
2021-09-22 13:33:08.079489 : Epoch  6, Batch    319, Loss  0.884790, Average Loss  0.870088, Time  0.234107
2021-09-22 13:33:10.681027 : Epoch  6, Batch    320, Loss  0.840102, Average Loss  0.869951, Time  0.234344
2021-09-22 13:37:15.006704 : CheckPoint: Validation Loss  0.00030154, Best Loss  0.00029393
2021-09-22 13:37:17.642865 : Epoch  6, Batch    321, Loss  0.853170, Average Loss  0.869912, Time  0.268277
2021-09-22 13:37:20.260200 : Epoch  6, Batch    322, Loss  0.876145, Average Loss  0.870048, Time  0.253191
2021-09-22 13:37:22.871467 : Epoch  6, Batch    323, Loss  0.836716, Average Loss  0.869916, Time  0.238860
2021-09-22 13:37:25.472199 : Epoch  6, Batch    324, Loss  0.879409, Average Loss  0.870006, Time  0.233981
2021-09-22 13:37:28.081837 : Epoch  6, Batch    325, Loss  0.858595, Average Loss  0.869905, Time  0.234969
2021-09-22 13:37:30.690791 : Epoch  6, Batch    326, Loss  0.863239, Average Loss  0.869840, Time  0.234628
2021-09-22 13:37:33.303937 : Epoch  6, Batch    327, Loss  0.843571, Average Loss  0.869865, Time  0.234483
2021-09-22 13:37:35.905220 : Epoch  6, Batch    328, Loss  0.882969, Average Loss  0.869997, Time  0.234967
2021-09-22 13:37:38.520684 : Epoch  6, Batch    329, Loss  0.880298, Average Loss  0.870004, Time  0.235111
2021-09-22 13:37:41.133207 : Epoch  6, Batch    330, Loss  0.900079, Average Loss  0.870133, Time  0.234261
2021-09-22 13:37:43.737930 : Epoch  6, Batch    331, Loss  0.863653, Average Loss  0.870043, Time  0.234353
2021-09-22 13:37:46.342248 : Epoch  6, Batch    332, Loss  0.868822, Average Loss  0.869967, Time  0.234841
2021-09-22 13:37:48.958836 : Epoch  6, Batch    333, Loss  0.854923, Average Loss  0.869897, Time  0.235007
2021-09-22 13:37:51.572458 : Epoch  6, Batch    334, Loss  0.888773, Average Loss  0.870044, Time  0.235200
2021-09-22 13:37:54.189279 : Epoch  6, Batch    335, Loss  0.860694, Average Loss  0.870019, Time  0.234411
2021-09-22 13:37:56.799222 : Epoch  6, Batch    336, Loss  0.885657, Average Loss  0.870200, Time  0.234245
2021-09-22 13:37:59.407832 : Epoch  6, Batch    337, Loss  0.868130, Average Loss  0.870070, Time  0.234506
2021-09-22 13:38:02.011221 : Epoch  6, Batch    338, Loss  0.860445, Average Loss  0.869884, Time  0.234453
2021-09-22 13:38:04.625222 : Epoch  6, Batch    339, Loss  0.869232, Average Loss  0.869799, Time  0.234527
2021-09-22 13:38:07.231507 : Epoch  6, Batch    340, Loss  0.862696, Average Loss  0.869604, Time  0.234094
2021-09-22 13:38:09.847748 : Epoch  6, Batch    341, Loss  0.876909, Average Loss  0.869598, Time  0.234259
2021-09-22 13:38:12.494387 : Epoch  6, Batch    342, Loss  0.851024, Average Loss  0.869481, Time  0.234460
2021-09-22 13:38:15.118240 : Epoch  6, Batch    343, Loss  0.864927, Average Loss  0.869399, Time  0.234281
2021-09-22 13:38:17.728390 : Epoch  6, Batch    344, Loss  0.868258, Average Loss  0.869318, Time  0.234685
2021-09-22 13:38:20.338451 : Epoch  6, Batch    345, Loss  0.841612, Average Loss  0.869185, Time  0.235216
2021-09-22 13:38:22.950230 : Epoch  6, Batch    346, Loss  0.872084, Average Loss  0.869192, Time  0.235642
2021-09-22 13:38:25.560398 : Epoch  6, Batch    347, Loss  0.853035, Average Loss  0.869095, Time  0.234121
2021-09-22 13:38:28.162351 : Epoch  6, Batch    348, Loss  0.882795, Average Loss  0.869177, Time  0.235154
2021-09-22 13:38:30.767961 : Epoch  6, Batch    349, Loss  0.903898, Average Loss  0.869378, Time  0.234697
2021-09-22 13:38:33.401111 : Epoch  6, Batch    350, Loss  0.845864, Average Loss  0.869246, Time  0.234642
2021-09-22 13:38:36.014955 : Epoch  6, Batch    351, Loss  0.867120, Average Loss  0.869276, Time  0.234727
2021-09-22 13:38:38.632943 : Epoch  6, Batch    352, Loss  0.857405, Average Loss  0.869287, Time  0.236427
2021-09-22 13:38:41.231141 : Epoch  6, Batch    353, Loss  0.877041, Average Loss  0.869235, Time  0.234857
2021-09-22 13:38:43.832790 : Epoch  6, Batch    354, Loss  0.861672, Average Loss  0.869242, Time  0.234474
2021-09-22 13:38:46.438786 : Epoch  6, Batch    355, Loss  0.869997, Average Loss  0.869268, Time  0.234951
2021-09-22 13:38:49.065861 : Epoch  6, Batch    356, Loss  0.863739, Average Loss  0.869257, Time  0.237437
2021-09-22 13:38:51.665983 : Epoch  6, Batch    357, Loss  0.887407, Average Loss  0.869408, Time  0.235039
2021-09-22 13:38:54.271970 : Epoch  6, Batch    358, Loss  0.874557, Average Loss  0.869398, Time  0.234409
2021-09-22 13:38:56.881408 : Epoch  6, Batch    359, Loss  0.871477, Average Loss  0.869375, Time  0.234588
2021-09-22 13:38:59.487405 : Epoch  6, Batch    360, Loss  0.877464, Average Loss  0.869363, Time  0.234368
2021-09-22 13:39:02.093356 : Epoch  6, Batch    361, Loss  0.856796, Average Loss  0.869306, Time  0.234320
2021-09-22 13:39:04.717074 : Epoch  6, Batch    362, Loss  0.839949, Average Loss  0.869214, Time  0.234459
2021-09-22 13:39:07.336441 : Epoch  6, Batch    363, Loss  0.870718, Average Loss  0.869268, Time  0.236188
2021-09-22 13:39:09.944884 : Epoch  6, Batch    364, Loss  0.880862, Average Loss  0.869163, Time  0.236077
2021-09-22 13:39:12.561003 : Epoch  6, Batch    365, Loss  0.880492, Average Loss  0.869068, Time  0.237180
2021-09-22 13:39:15.182770 : Epoch  6, Batch    366, Loss  0.864649, Average Loss  0.869128, Time  0.235472
2021-09-22 13:39:17.786895 : Epoch  6, Batch    367, Loss  0.856039, Average Loss  0.869120, Time  0.235156
2021-09-22 13:39:20.411023 : Epoch  6, Batch    368, Loss  0.871358, Average Loss  0.869122, Time  0.234792
2021-09-22 13:39:23.026860 : Epoch  6, Batch    369, Loss  0.874597, Average Loss  0.869162, Time  0.235439
2021-09-22 13:39:25.626735 : Epoch  6, Batch    370, Loss  0.872094, Average Loss  0.869138, Time  0.234375
2021-09-22 13:39:28.240097 : Epoch  6, Batch    371, Loss  0.872283, Average Loss  0.869194, Time  0.235957
2021-09-22 13:39:30.847423 : Epoch  6, Batch    372, Loss  0.863010, Average Loss  0.869170, Time  0.234351
2021-09-22 13:39:33.468235 : Epoch  6, Batch    373, Loss  0.863186, Average Loss  0.869054, Time  0.234872
2021-09-22 13:39:36.113198 : Epoch  6, Batch    374, Loss  0.855146, Average Loss  0.868968, Time  0.234612
2021-09-22 13:39:38.731840 : Epoch  6, Batch    375, Loss  0.877217, Average Loss  0.869070, Time  0.234465
2021-09-22 13:39:41.332234 : Epoch  6, Batch    376, Loss  0.867744, Average Loss  0.869093, Time  0.234845
2021-09-22 13:39:43.944210 : Epoch  6, Batch    377, Loss  0.866757, Average Loss  0.869091, Time  0.234562
2021-09-22 13:39:46.546235 : Epoch  6, Batch    378, Loss  0.851845, Average Loss  0.869025, Time  0.234507
2021-09-22 13:39:49.149972 : Epoch  6, Batch    379, Loss  0.870377, Average Loss  0.868960, Time  0.234259
2021-09-22 13:39:51.748965 : Epoch  6, Batch    380, Loss  0.864126, Average Loss  0.868966, Time  0.234927
2021-09-22 13:39:54.355271 : Epoch  6, Batch    381, Loss  0.855169, Average Loss  0.868937, Time  0.234399
2021-09-22 13:39:56.962744 : Epoch  6, Batch    382, Loss  0.880891, Average Loss  0.868993, Time  0.234621
2021-09-22 13:39:59.582254 : Epoch  6, Batch    383, Loss  0.885612, Average Loss  0.869121, Time  0.234653
2021-09-22 13:40:02.197943 : Epoch  6, Batch    384, Loss  0.861643, Average Loss  0.869186, Time  0.234294
2021-09-22 13:40:04.813646 : Epoch  6, Batch    385, Loss  0.862599, Average Loss  0.869064, Time  0.235066
2021-09-22 13:40:07.423223 : Epoch  6, Batch    386, Loss  0.859612, Average Loss  0.869014, Time  0.234794
2021-09-22 13:40:10.035253 : Epoch  6, Batch    387, Loss  0.896775, Average Loss  0.869110, Time  0.234477
2021-09-22 13:40:12.656941 : Epoch  6, Batch    388, Loss  0.865585, Average Loss  0.869066, Time  0.235160
2021-09-22 13:40:15.270061 : Epoch  6, Batch    389, Loss  0.871183, Average Loss  0.869033, Time  0.234783
2021-09-22 13:40:17.883931 : Epoch  6, Batch    390, Loss  0.880275, Average Loss  0.869009, Time  0.234625
2021-09-22 13:40:20.490183 : Epoch  6, Batch    391, Loss  0.855242, Average Loss  0.868927, Time  0.233977
2021-09-22 13:40:23.094241 : Epoch  6, Batch    392, Loss  0.883194, Average Loss  0.868902, Time  0.234493
2021-09-22 13:40:25.701213 : Epoch  6, Batch    393, Loss  0.875546, Average Loss  0.868903, Time  0.235260
2021-09-22 13:40:28.299942 : Epoch  6, Batch    394, Loss  0.879815, Average Loss  0.868988, Time  0.234119
2021-09-22 13:40:30.913261 : Epoch  6, Batch    395, Loss  0.847999, Average Loss  0.868835, Time  0.234944
2021-09-22 13:40:33.527019 : Epoch  6, Batch    396, Loss  0.869579, Average Loss  0.868807, Time  0.235146
2021-09-22 13:40:36.133898 : Epoch  6, Batch    397, Loss  0.883739, Average Loss  0.868910, Time  0.234811
2021-09-22 13:40:38.749973 : Epoch  6, Batch    398, Loss  0.869521, Average Loss  0.868902, Time  0.234426
2021-09-22 13:40:41.355559 : Epoch  6, Batch    399, Loss  0.848291, Average Loss  0.868749, Time  0.234669
2021-09-22 13:40:43.963051 : Epoch  6, Batch    400, Loss  0.852710, Average Loss  0.868701, Time  0.234395
2021-09-22 13:40:46.573726 : Epoch  6, Batch    401, Loss  0.860051, Average Loss  0.868764, Time  0.234421
2021-09-22 13:40:49.178272 : Epoch  6, Batch    402, Loss  0.860708, Average Loss  0.868760, Time  0.234523
2021-09-22 13:40:51.781948 : Epoch  6, Batch    403, Loss  0.870090, Average Loss  0.868762, Time  0.234461
2021-09-22 13:40:54.387646 : Epoch  6, Batch    404, Loss  0.879653, Average Loss  0.868746, Time  0.234791
2021-09-22 13:40:56.990906 : Epoch  6, Batch    405, Loss  0.864918, Average Loss  0.868717, Time  0.234306
2021-09-22 13:40:59.600865 : Epoch  6, Batch    406, Loss  0.838877, Average Loss  0.868506, Time  0.234036
2021-09-22 13:41:02.199386 : Epoch  6, Batch    407, Loss  0.878492, Average Loss  0.868626, Time  0.234771
2021-09-22 13:41:04.810767 : Epoch  6, Batch    408, Loss  0.866542, Average Loss  0.868637, Time  0.234272
2021-09-22 13:41:07.415941 : Epoch  6, Batch    409, Loss  0.853397, Average Loss  0.868442, Time  0.234564
2021-09-22 13:41:10.019947 : Epoch  6, Batch    410, Loss  0.867593, Average Loss  0.868486, Time  0.234243
2021-09-22 13:41:12.650791 : Epoch  6, Batch    411, Loss  0.861492, Average Loss  0.868407, Time  0.234871
2021-09-22 13:41:15.268069 : Epoch  6, Batch    412, Loss  0.869528, Average Loss  0.868396, Time  0.234538
2021-09-22 13:41:17.875058 : Epoch  6, Batch    413, Loss  0.870445, Average Loss  0.868402, Time  0.234939
2021-09-22 13:41:20.483206 : Epoch  6, Batch    414, Loss  0.858507, Average Loss  0.868271, Time  0.234004
2021-09-22 13:41:23.092148 : Epoch  6, Batch    415, Loss  0.872737, Average Loss  0.868345, Time  0.234302
2021-09-22 13:41:25.703722 : Epoch  6, Batch    416, Loss  0.873877, Average Loss  0.868357, Time  0.236361
2021-09-22 13:41:28.308984 : Epoch  6, Batch    417, Loss  0.893620, Average Loss  0.868474, Time  0.234907
2021-09-22 13:41:30.914873 : Epoch  6, Batch    418, Loss  0.874056, Average Loss  0.868494, Time  0.235026
2021-09-22 13:41:33.517353 : Epoch  6, Batch    419, Loss  0.881381, Average Loss  0.868539, Time  0.234937
2021-09-22 13:41:36.133192 : Epoch  6, Batch    420, Loss  0.889304, Average Loss  0.868598, Time  0.234642
2021-09-22 13:45:39.494691 : CheckPoint: Validation Loss  0.00030750, Best Loss  0.00029393
2021-09-22 13:45:42.124536 : Epoch  6, Batch    421, Loss  0.856006, Average Loss  0.868658, Time  0.268416
2021-09-22 13:45:44.740965 : Epoch  6, Batch    422, Loss  0.869350, Average Loss  0.868718, Time  0.244799
2021-09-22 13:45:47.353897 : Epoch  6, Batch    423, Loss  0.880891, Average Loss  0.868718, Time  0.234840
2021-09-22 13:45:49.962392 : Epoch  6, Batch    424, Loss  0.852759, Average Loss  0.868604, Time  0.234290
2021-09-22 13:45:52.584721 : Epoch  6, Batch    425, Loss  0.871637, Average Loss  0.868602, Time  0.234673
2021-09-22 13:45:55.196407 : Epoch  6, Batch    426, Loss  0.872203, Average Loss  0.868652, Time  0.234636
2021-09-22 13:45:57.804975 : Epoch  6, Batch    427, Loss  0.860196, Average Loss  0.868679, Time  0.234682
2021-09-22 13:46:00.412757 : Epoch  6, Batch    428, Loss  0.894558, Average Loss  0.868736, Time  0.234528
2021-09-22 13:46:03.029049 : Epoch  6, Batch    429, Loss  0.879807, Average Loss  0.868874, Time  0.234661
2021-09-22 13:46:05.643466 : Epoch  6, Batch    430, Loss  0.859682, Average Loss  0.868805, Time  0.234362
2021-09-22 13:46:08.252214 : Epoch  6, Batch    431, Loss  0.861215, Average Loss  0.868799, Time  0.234242
2021-09-22 13:46:10.862741 : Epoch  6, Batch    432, Loss  0.867731, Average Loss  0.868806, Time  0.235636
2021-09-22 13:46:13.476767 : Epoch  6, Batch    433, Loss  0.875716, Average Loss  0.868792, Time  0.234514
2021-09-22 13:46:16.090088 : Epoch  6, Batch    434, Loss  0.849934, Average Loss  0.868771, Time  0.235444
2021-09-22 13:46:18.704966 : Epoch  6, Batch    435, Loss  0.854415, Average Loss  0.868539, Time  0.235449
2021-09-22 13:46:21.319218 : Epoch  6, Batch    436, Loss  0.869592, Average Loss  0.868624, Time  0.234100
2021-09-22 13:46:23.922072 : Epoch  6, Batch    437, Loss  0.867192, Average Loss  0.868662, Time  0.234389
2021-09-22 13:46:26.563861 : Epoch  6, Batch    438, Loss  0.883517, Average Loss  0.868784, Time  0.234896
2021-09-22 13:46:29.173220 : Epoch  6, Batch    439, Loss  0.904372, Average Loss  0.868957, Time  0.234049
2021-09-22 13:46:31.784841 : Epoch  6, Batch    440, Loss  0.869193, Average Loss  0.868988, Time  0.234365
2021-09-22 13:46:34.412220 : Epoch  6, Batch    441, Loss  0.895610, Average Loss  0.869127, Time  0.234525
2021-09-22 13:46:37.023406 : Epoch  6, Batch    442, Loss  0.875948, Average Loss  0.869144, Time  0.234431
2021-09-22 13:46:39.627032 : Epoch  6, Batch    443, Loss  0.876029, Average Loss  0.869273, Time  0.234269
2021-09-22 13:46:42.223582 : Epoch  6, Batch    444, Loss  0.868249, Average Loss  0.869253, Time  0.234886
2021-09-22 13:46:44.826193 : Epoch  6, Batch    445, Loss  0.877837, Average Loss  0.869268, Time  0.234935
2021-09-22 13:46:47.437556 : Epoch  6, Batch    446, Loss  0.870883, Average Loss  0.869382, Time  0.234488
2021-09-22 13:46:50.038080 : Epoch  6, Batch    447, Loss  0.869977, Average Loss  0.869496, Time  0.234486
2021-09-22 13:46:52.650780 : Epoch  6, Batch    448, Loss  0.876638, Average Loss  0.869600, Time  0.234320
2021-09-22 13:46:55.257221 : Epoch  6, Batch    449, Loss  0.860937, Average Loss  0.869493, Time  0.234819
2021-09-22 13:46:57.877791 : Epoch  6, Batch    450, Loss  0.845902, Average Loss  0.869266, Time  0.233963
2021-09-22 13:47:00.504231 : Epoch  6, Batch    451, Loss  0.853959, Average Loss  0.869151, Time  0.234991
2021-09-22 13:47:03.111796 : Epoch  6, Batch    452, Loss  0.869124, Average Loss  0.869177, Time  0.237530
2021-09-22 13:47:05.718041 : Epoch  6, Batch    453, Loss  0.865335, Average Loss  0.869218, Time  0.235037
2021-09-22 13:47:08.322936 : Epoch  6, Batch    454, Loss  0.887202, Average Loss  0.869275, Time  0.234579
2021-09-22 13:47:10.941450 : Epoch  6, Batch    455, Loss  0.867042, Average Loss  0.869294, Time  0.235656
2021-09-22 13:47:13.545963 : Epoch  6, Batch    456, Loss  0.867577, Average Loss  0.869234, Time  0.235090
2021-09-22 13:47:16.152788 : Epoch  6, Batch    457, Loss  0.871587, Average Loss  0.869246, Time  0.234811
2021-09-22 13:47:18.765988 : Epoch  6, Batch    458, Loss  0.880877, Average Loss  0.869278, Time  0.235025
2021-09-22 13:47:21.373125 : Epoch  6, Batch    459, Loss  0.894030, Average Loss  0.869341, Time  0.235170
2021-09-22 13:47:23.976804 : Epoch  6, Batch    460, Loss  0.887093, Average Loss  0.869472, Time  0.234649
2021-09-22 13:47:26.600057 : Epoch  6, Batch    461, Loss  0.848225, Average Loss  0.869446, Time  0.235346
2021-09-22 13:47:29.210936 : Epoch  6, Batch    462, Loss  0.848166, Average Loss  0.869279, Time  0.234627
2021-09-22 13:47:31.813259 : Epoch  6, Batch    463, Loss  0.872873, Average Loss  0.869300, Time  0.234850
2021-09-22 13:47:34.427444 : Epoch  6, Batch    464, Loss  0.870341, Average Loss  0.869307, Time  0.234915
2021-09-22 13:47:37.034119 : Epoch  6, Batch    465, Loss  0.893838, Average Loss  0.869441, Time  0.234993
2021-09-22 13:47:39.655904 : Epoch  6, Batch    466, Loss  0.837101, Average Loss  0.869371, Time  0.235161
2021-09-22 13:47:42.265361 : Epoch  6, Batch    467, Loss  0.875366, Average Loss  0.869248, Time  0.234176
2021-09-22 13:47:44.869908 : Epoch  6, Batch    468, Loss  0.871822, Average Loss  0.869247, Time  0.234307
2021-09-22 13:47:47.477752 : Epoch  6, Batch    469, Loss  0.870709, Average Loss  0.869165, Time  0.235055
2021-09-22 13:47:50.085055 : Epoch  6, Batch    470, Loss  0.869562, Average Loss  0.869136, Time  0.234437
2021-09-22 13:47:52.695245 : Epoch  6, Batch    471, Loss  0.861254, Average Loss  0.869054, Time  0.234988
2021-09-22 13:47:55.296032 : Epoch  6, Batch    472, Loss  0.855079, Average Loss  0.869028, Time  0.234255
2021-09-22 13:47:57.906934 : Epoch  6, Batch    473, Loss  0.867180, Average Loss  0.868956, Time  0.235723
2021-09-22 13:48:00.520942 : Epoch  6, Batch    474, Loss  0.904415, Average Loss  0.869207, Time  0.234115
2021-09-22 13:48:03.144231 : Epoch  6, Batch    475, Loss  0.861466, Average Loss  0.869233, Time  0.239311
2021-09-22 13:48:05.751230 : Epoch  6, Batch    476, Loss  0.875302, Average Loss  0.869147, Time  0.234128
2021-09-22 13:48:08.367160 : Epoch  6, Batch    477, Loss  0.891778, Average Loss  0.869180, Time  0.234330
2021-09-22 13:48:10.971800 : Epoch  6, Batch    478, Loss  0.879753, Average Loss  0.869145, Time  0.234064
2021-09-22 13:48:13.582869 : Epoch  6, Batch    479, Loss  0.888807, Average Loss  0.869326, Time  0.235527
2021-09-22 13:48:16.177029 : Epoch  6, Batch    480, Loss  0.906156, Average Loss  0.869484, Time  0.234632
2021-09-22 13:48:18.785960 : Epoch  6, Batch    481, Loss  0.875221, Average Loss  0.869544, Time  0.235983
2021-09-22 13:48:21.390801 : Epoch  6, Batch    482, Loss  0.867209, Average Loss  0.869496, Time  0.237619
2021-09-22 13:48:24.003894 : Epoch  6, Batch    483, Loss  0.881981, Average Loss  0.869533, Time  0.238250
2021-09-22 13:48:26.621401 : Epoch  6, Batch    484, Loss  0.861641, Average Loss  0.869458, Time  0.234003
2021-09-22 13:48:29.219964 : Epoch  6, Batch    485, Loss  0.853694, Average Loss  0.869217, Time  0.234355
2021-09-22 13:48:31.833744 : Epoch  6, Batch    486, Loss  0.880201, Average Loss  0.869173, Time  0.235295
2021-09-22 13:48:34.455812 : Epoch  6, Batch    487, Loss  0.865347, Average Loss  0.869185, Time  0.234624
2021-09-22 13:48:37.066809 : Epoch  6, Batch    488, Loss  0.878301, Average Loss  0.869274, Time  0.234434
2021-09-22 13:48:39.709212 : Epoch  6, Batch    489, Loss  0.872980, Average Loss  0.869383, Time  0.233990
2021-09-22 13:48:42.332745 : Epoch  6, Batch    490, Loss  0.843731, Average Loss  0.869244, Time  0.234021
2021-09-22 13:48:44.936254 : Epoch  6, Batch    491, Loss  0.880044, Average Loss  0.869270, Time  0.234513
2021-09-22 13:48:47.554915 : Epoch  6, Batch    492, Loss  0.871527, Average Loss  0.869271, Time  0.235184
2021-09-22 13:48:50.161168 : Epoch  6, Batch    493, Loss  0.875206, Average Loss  0.869241, Time  0.235650
2021-09-22 13:48:52.763843 : Epoch  6, Batch    494, Loss  0.868327, Average Loss  0.869218, Time  0.234487
2021-09-22 13:48:55.367247 : Epoch  6, Batch    495, Loss  0.856826, Average Loss  0.869211, Time  0.234582
2021-09-22 13:48:57.965872 : Epoch  6, Batch    496, Loss  0.851929, Average Loss  0.869072, Time  0.234231
2021-09-22 13:49:00.575786 : Epoch  6, Batch    497, Loss  0.869251, Average Loss  0.869181, Time  0.234576
2021-09-22 13:49:03.185823 : Epoch  6, Batch    498, Loss  0.888518, Average Loss  0.869293, Time  0.234809
2021-09-22 13:49:05.801351 : Epoch  6, Batch    499, Loss  0.874055, Average Loss  0.869310, Time  0.235127
2021-09-22 13:49:08.409241 : Epoch  6, Batch    500, Loss  0.860334, Average Loss  0.869239, Time  0.234406
2021-09-22 13:49:11.020300 : Epoch  6, Batch    501, Loss  0.870874, Average Loss  0.869222, Time  0.234895
2021-09-22 13:49:13.638864 : Epoch  6, Batch    502, Loss  0.884684, Average Loss  0.869298, Time  0.236946
2021-09-22 13:49:16.294824 : Epoch  6, Batch    503, Loss  0.859728, Average Loss  0.869319, Time  0.236155
2021-09-22 13:49:18.911859 : Epoch  6, Batch    504, Loss  0.884105, Average Loss  0.869425, Time  0.235429
2021-09-22 13:49:21.526957 : Epoch  6, Batch    505, Loss  0.870439, Average Loss  0.869413, Time  0.234719
2021-09-22 13:49:24.133450 : Epoch  6, Batch    506, Loss  0.868407, Average Loss  0.869384, Time  0.234496
2021-09-22 13:49:26.741719 : Epoch  6, Batch    507, Loss  0.875397, Average Loss  0.869427, Time  0.236282
2021-09-22 13:49:29.362793 : Epoch  6, Batch    508, Loss  0.844377, Average Loss  0.869337, Time  0.237371
2021-09-22 13:49:31.966071 : Epoch  6, Batch    509, Loss  0.878673, Average Loss  0.869363, Time  0.234784
2021-09-22 13:49:34.568126 : Epoch  6, Batch    510, Loss  0.861232, Average Loss  0.869302, Time  0.234592
2021-09-22 13:49:37.190289 : Epoch  6, Batch    511, Loss  0.879102, Average Loss  0.869357, Time  0.238403
2021-09-22 13:49:39.805026 : Epoch  6, Batch    512, Loss  0.871585, Average Loss  0.869401, Time  0.234532
2021-09-22 13:49:42.420253 : Epoch  6, Batch    513, Loss  0.870267, Average Loss  0.869463, Time  0.234989
2021-09-22 13:49:45.020962 : Epoch  6, Batch    514, Loss  0.876494, Average Loss  0.869444, Time  0.234231
2021-09-22 13:49:47.613145 : Epoch  6, Batch    515, Loss  0.858492, Average Loss  0.869451, Time  0.234539
2021-09-22 13:49:50.215185 : Epoch  6, Batch    516, Loss  0.862627, Average Loss  0.869377, Time  0.236820
2021-09-22 13:49:52.824859 : Epoch  6, Batch    517, Loss  0.849682, Average Loss  0.869298, Time  0.236391
2021-09-22 13:49:55.432863 : Epoch  6, Batch    518, Loss  0.856524, Average Loss  0.869249, Time  0.234394
2021-09-22 13:49:58.035040 : Epoch  6, Batch    519, Loss  0.850682, Average Loss  0.869079, Time  0.234323
2021-09-22 13:50:00.647808 : Epoch  6, Batch    520, Loss  0.860880, Average Loss  0.869183, Time  0.234810
2021-09-22 13:54:04.437701 : CheckPoint: Validation Loss  0.00029814, Best Loss  0.00029393
2021-09-22 13:54:07.042367 : Epoch  6, Batch    521, Loss  0.876466, Average Loss  0.869299, Time  0.236046
2021-09-22 13:54:09.641180 : Epoch  6, Batch    522, Loss  0.866888, Average Loss  0.869253, Time  0.234912
2021-09-22 13:54:12.235735 : Epoch  6, Batch    523, Loss  0.886302, Average Loss  0.869501, Time  0.234648
2021-09-22 13:54:14.848218 : Epoch  6, Batch    524, Loss  0.859827, Average Loss  0.869403, Time  0.234313
2021-09-22 13:54:17.444834 : Epoch  6, Batch    525, Loss  0.861270, Average Loss  0.869416, Time  0.234382
2021-09-22 13:54:20.040502 : Epoch  6, Batch    526, Loss  0.865566, Average Loss  0.869428, Time  0.234998
2021-09-22 13:54:22.646807 : Epoch  6, Batch    527, Loss  0.876860, Average Loss  0.869595, Time  0.237375
2021-09-22 13:54:25.246209 : Epoch  6, Batch    528, Loss  0.866760, Average Loss  0.869513, Time  0.234190
2021-09-22 13:54:27.837619 : Epoch  6, Batch    529, Loss  0.889382, Average Loss  0.869559, Time  0.234467
2021-09-22 13:54:30.421891 : Epoch  6, Batch    530, Loss  0.863826, Average Loss  0.869378, Time  0.235168
2021-09-22 13:54:33.009731 : Epoch  6, Batch    531, Loss  0.856073, Average Loss  0.869340, Time  0.234574
2021-09-22 13:54:35.637784 : Epoch  6, Batch    532, Loss  0.855224, Average Loss  0.869272, Time  0.234096
2021-09-22 13:54:38.209904 : Epoch  6, Batch    533, Loss  0.881213, Average Loss  0.869403, Time  0.234817
2021-09-22 13:54:40.791270 : Epoch  6, Batch    534, Loss  0.861442, Average Loss  0.869267, Time  0.234534
2021-09-22 13:54:43.400812 : Epoch  6, Batch    535, Loss  0.864366, Average Loss  0.869285, Time  0.244642
2021-09-22 13:54:45.993036 : Epoch  6, Batch    536, Loss  0.859127, Average Loss  0.869152, Time  0.234238
2021-09-22 13:54:48.584050 : Epoch  6, Batch    537, Loss  0.858769, Average Loss  0.869105, Time  0.234764
2021-09-22 13:54:51.170201 : Epoch  6, Batch    538, Loss  0.856994, Average Loss  0.869088, Time  0.233915
2021-09-22 13:54:53.754737 : Epoch  6, Batch    539, Loss  0.862109, Average Loss  0.869053, Time  0.234440
2021-09-22 13:54:56.348189 : Epoch  6, Batch    540, Loss  0.856271, Average Loss  0.869020, Time  0.234081
2021-09-22 13:54:58.949955 : Epoch  6, Batch    541, Loss  0.865337, Average Loss  0.868963, Time  0.234345
2021-09-22 13:55:01.552817 : Epoch  6, Batch    542, Loss  0.873967, Average Loss  0.869077, Time  0.236413
2021-09-22 13:55:04.168462 : Epoch  6, Batch    543, Loss  0.833950, Average Loss  0.868922, Time  0.235688
2021-09-22 13:55:06.758173 : Epoch  6, Batch    544, Loss  0.882572, Average Loss  0.868994, Time  0.233860
2021-09-22 13:55:09.349818 : Epoch  6, Batch    545, Loss  0.877584, Average Loss  0.869174, Time  0.235333
2021-09-22 13:55:12.023833 : Epoch  6, Batch    546, Loss  0.855553, Average Loss  0.869091, Time  0.234404
2021-09-22 13:55:14.633797 : Epoch  6, Batch    547, Loss  0.877942, Average Loss  0.869216, Time  0.235300
2021-09-22 13:55:17.244067 : Epoch  6, Batch    548, Loss  0.881060, Average Loss  0.869207, Time  0.234654
2021-09-22 13:55:19.840934 : Epoch  6, Batch    549, Loss  0.866449, Average Loss  0.869020, Time  0.235238
2021-09-22 13:55:22.442274 : Epoch  6, Batch    550, Loss  0.862416, Average Loss  0.869103, Time  0.234071
2021-09-22 13:55:25.053803 : Epoch  6, Batch    551, Loss  0.870066, Average Loss  0.869117, Time  0.234690
2021-09-22 13:55:27.659823 : Epoch  6, Batch    552, Loss  0.875348, Average Loss  0.869207, Time  0.234468
2021-09-22 13:55:30.269271 : Epoch  6, Batch    553, Loss  0.854532, Average Loss  0.869094, Time  0.234816
2021-09-22 13:55:32.870202 : Epoch  6, Batch    554, Loss  0.864294, Average Loss  0.869108, Time  0.234292
2021-09-22 13:55:35.472294 : Epoch  6, Batch    555, Loss  0.884540, Average Loss  0.869180, Time  0.235605
2021-09-22 13:55:38.084543 : Epoch  6, Batch    556, Loss  0.859839, Average Loss  0.869161, Time  0.235900
2021-09-22 13:55:40.686742 : Epoch  6, Batch    557, Loss  0.883688, Average Loss  0.869142, Time  0.234887
2021-09-22 13:55:43.293539 : Epoch  6, Batch    558, Loss  0.879816, Average Loss  0.869168, Time  0.234828
2021-09-22 13:55:45.896052 : Epoch  6, Batch    559, Loss  0.863197, Average Loss  0.869127, Time  0.234894
2021-09-22 13:55:48.509089 : Epoch  6, Batch    560, Loss  0.841528, Average Loss  0.868947, Time  0.234931
2021-09-22 13:55:51.100767 : Epoch  6, Batch    561, Loss  0.867237, Average Loss  0.869000, Time  0.234900
2021-09-22 13:55:53.687218 : Epoch  6, Batch    562, Loss  0.869749, Average Loss  0.869149, Time  0.234348
2021-09-22 13:55:56.291290 : Epoch  6, Batch    563, Loss  0.866622, Average Loss  0.869128, Time  0.234771
2021-09-22 13:55:58.892967 : Epoch  6, Batch    564, Loss  0.863731, Average Loss  0.869042, Time  0.235352
2021-09-22 13:56:01.515281 : Epoch  6, Batch    565, Loss  0.854455, Average Loss  0.868912, Time  0.235551
2021-09-22 13:56:04.106918 : Epoch  6, Batch    566, Loss  0.864645, Average Loss  0.868912, Time  0.235772
2021-09-22 13:56:06.700526 : Epoch  6, Batch    567, Loss  0.883372, Average Loss  0.869049, Time  0.234804
2021-09-22 13:56:09.303257 : Epoch  6, Batch    568, Loss  0.857551, Average Loss  0.868980, Time  0.237859
2021-09-22 13:56:11.929902 : Epoch  6, Batch    569, Loss  0.894006, Average Loss  0.869077, Time  0.235185
2021-09-22 13:56:14.521777 : Epoch  6, Batch    570, Loss  0.869509, Average Loss  0.869064, Time  0.234848
2021-09-22 13:56:17.123867 : Epoch  6, Batch    571, Loss  0.898141, Average Loss  0.869193, Time  0.234984
2021-09-22 13:56:19.730306 : Epoch  6, Batch    572, Loss  0.856535, Average Loss  0.869161, Time  0.234662
2021-09-22 13:56:22.343899 : Epoch  6, Batch    573, Loss  0.877358, Average Loss  0.869232, Time  0.234752
2021-09-22 13:56:24.947218 : Epoch  6, Batch    574, Loss  0.857771, Average Loss  0.869245, Time  0.234967
2021-09-22 13:56:27.539250 : Epoch  6, Batch    575, Loss  0.840973, Average Loss  0.869064, Time  0.235117
2021-09-22 13:56:30.168229 : Epoch  6, Batch    576, Loss  0.868262, Average Loss  0.869066, Time  0.234059
2021-09-22 13:56:32.768832 : Epoch  6, Batch    577, Loss  0.875134, Average Loss  0.869108, Time  0.234765
2021-09-22 13:56:35.368771 : Epoch  6, Batch    578, Loss  0.881271, Average Loss  0.869255, Time  0.234653
2021-09-22 13:56:37.961800 : Epoch  6, Batch    579, Loss  0.874082, Average Loss  0.869274, Time  0.235114
2021-09-22 13:56:40.557912 : Epoch  6, Batch    580, Loss  0.852103, Average Loss  0.869214, Time  0.234324
2021-09-22 13:56:43.154781 : Epoch  6, Batch    581, Loss  0.874681, Average Loss  0.869311, Time  0.234656
2021-09-22 13:56:45.755243 : Epoch  6, Batch    582, Loss  0.891603, Average Loss  0.869365, Time  0.234306
2021-09-22 13:56:48.347947 : Epoch  6, Batch    583, Loss  0.875282, Average Loss  0.869313, Time  0.234737
2021-09-22 13:56:50.942947 : Epoch  6, Batch    584, Loss  0.849090, Average Loss  0.869250, Time  0.235160
2021-09-22 13:56:53.537795 : Epoch  6, Batch    585, Loss  0.867387, Average Loss  0.869274, Time  0.235366
2021-09-22 13:56:56.136943 : Epoch  6, Batch    586, Loss  0.863868, Average Loss  0.869296, Time  0.234273
2021-09-22 13:56:58.730211 : Epoch  6, Batch    587, Loss  0.870675, Average Loss  0.869165, Time  0.234528
2021-09-22 13:57:01.351871 : Epoch  6, Batch    588, Loss  0.866395, Average Loss  0.869169, Time  0.235174
2021-09-22 13:57:03.949259 : Epoch  6, Batch    589, Loss  0.866713, Average Loss  0.869147, Time  0.235704
2021-09-22 13:57:06.547763 : Epoch  6, Batch    590, Loss  0.875085, Average Loss  0.869121, Time  0.234381
2021-09-22 13:57:09.152996 : Epoch  6, Batch    591, Loss  0.885548, Average Loss  0.869272, Time  0.236027
2021-09-22 13:57:11.789874 : Epoch  6, Batch    592, Loss  0.865428, Average Loss  0.869184, Time  0.234876
2021-09-22 13:57:14.391792 : Epoch  6, Batch    593, Loss  0.867610, Average Loss  0.869144, Time  0.235063
2021-09-22 13:57:16.990270 : Epoch  6, Batch    594, Loss  0.877314, Average Loss  0.869131, Time  0.237328
2021-09-22 13:57:19.612942 : Epoch  6, Batch    595, Loss  0.883685, Average Loss  0.869310, Time  0.237845
2021-09-22 13:57:22.226564 : Epoch  6, Batch    596, Loss  0.870325, Average Loss  0.869314, Time  0.234381
2021-09-22 13:57:24.826527 : Epoch  6, Batch    597, Loss  0.861637, Average Loss  0.869203, Time  0.234652
2021-09-22 13:57:27.425991 : Epoch  6, Batch    598, Loss  0.855158, Average Loss  0.869131, Time  0.234900
2021-09-22 13:57:30.017173 : Epoch  6, Batch    599, Loss  0.869546, Average Loss  0.869238, Time  0.234456
2021-09-22 13:57:32.603058 : Epoch  6, Batch    600, Loss  0.864332, Average Loss  0.869296, Time  0.234609
2021-09-22 13:57:35.203920 : Epoch  6, Batch    601, Loss  0.862635, Average Loss  0.869309, Time  0.238504
2021-09-22 13:57:37.808727 : Epoch  6, Batch    602, Loss  0.877617, Average Loss  0.869393, Time  0.237485
2021-09-22 13:57:40.405864 : Epoch  6, Batch    603, Loss  0.877082, Average Loss  0.869428, Time  0.234303
2021-09-22 13:57:43.007894 : Epoch  6, Batch    604, Loss  0.873857, Average Loss  0.869399, Time  0.234417
2021-09-22 13:57:45.598751 : Epoch  6, Batch    605, Loss  0.876467, Average Loss  0.869457, Time  0.235504
2021-09-22 13:57:48.241763 : Epoch  6, Batch    606, Loss  0.894029, Average Loss  0.869733, Time  0.234323
2021-09-22 13:57:50.844290 : Epoch  6, Batch    607, Loss  0.865588, Average Loss  0.869668, Time  0.235021
2021-09-22 13:57:53.453484 : Epoch  6, Batch    608, Loss  0.861474, Average Loss  0.869643, Time  0.234994
2021-09-22 13:57:56.049224 : Epoch  6, Batch    609, Loss  0.853275, Average Loss  0.869642, Time  0.234334
2021-09-22 13:57:58.646803 : Epoch  6, Batch    610, Loss  0.897073, Average Loss  0.869790, Time  0.234869
2021-09-22 13:58:01.248147 : Epoch  6, Batch    611, Loss  0.876162, Average Loss  0.869863, Time  0.235250
2021-09-22 13:58:03.872319 : Epoch  6, Batch    612, Loss  0.878051, Average Loss  0.869905, Time  0.234382
2021-09-22 13:58:06.483283 : Epoch  6, Batch    613, Loss  0.879054, Average Loss  0.869949, Time  0.238856
2021-09-22 13:58:09.081969 : Epoch  6, Batch    614, Loss  0.877049, Average Loss  0.870041, Time  0.234170
2021-09-22 13:58:11.682090 : Epoch  6, Batch    615, Loss  0.892706, Average Loss  0.870141, Time  0.235444
2021-09-22 13:58:14.267827 : Epoch  6, Batch    616, Loss  0.861216, Average Loss  0.870078, Time  0.234552
2021-09-22 13:58:16.870992 : Epoch  6, Batch    617, Loss  0.876602, Average Loss  0.869993, Time  0.235245
2021-09-22 13:58:19.466968 : Epoch  6, Batch    618, Loss  0.856887, Average Loss  0.869907, Time  0.241893
2021-09-22 13:58:22.056930 : Epoch  6, Batch    619, Loss  0.871347, Average Loss  0.869857, Time  0.238170
2021-09-22 13:58:24.655762 : Epoch  6, Batch    620, Loss  0.862884, Average Loss  0.869725, Time  0.234434
2021-09-22 14:02:28.332703 : CheckPoint: Validation Loss  0.00030067, Best Loss  0.00029393
2021-09-22 14:02:30.941976 : Epoch  6, Batch    621, Loss  0.877114, Average Loss  0.869830, Time  0.235801
2021-09-22 14:02:33.539870 : Epoch  6, Batch    622, Loss  0.866323, Average Loss  0.869815, Time  0.234067
2021-09-22 14:02:36.154764 : Epoch  6, Batch    623, Loss  0.871806, Average Loss  0.869770, Time  0.234957
2021-09-22 14:02:38.760851 : Epoch  6, Batch    624, Loss  0.866056, Average Loss  0.869836, Time  0.234365
2021-09-22 14:02:41.408815 : Epoch  6, Batch    625, Loss  0.871412, Average Loss  0.869835, Time  0.237551
2021-09-22 14:02:44.012729 : Epoch  6, Batch    626, Loss  0.865548, Average Loss  0.869802, Time  0.234365
2021-09-22 14:02:46.607979 : Epoch  6, Batch    627, Loss  0.883269, Average Loss  0.869917, Time  0.234244
2021-09-22 14:02:49.211223 : Epoch  6, Batch    628, Loss  0.855914, Average Loss  0.869724, Time  0.235389
2021-09-22 14:02:51.837763 : Epoch  6, Batch    629, Loss  0.864778, Average Loss  0.869649, Time  0.234303
2021-09-22 14:02:54.453238 : Epoch  6, Batch    630, Loss  0.874677, Average Loss  0.869724, Time  0.236068
2021-09-22 14:02:57.058796 : Epoch  6, Batch    631, Loss  0.866269, Average Loss  0.869749, Time  0.238342
2021-09-22 14:02:59.661798 : Epoch  6, Batch    632, Loss  0.826025, Average Loss  0.869540, Time  0.234768
2021-09-22 14:03:02.270867 : Epoch  6, Batch    633, Loss  0.862501, Average Loss  0.869474, Time  0.234633
2021-09-22 14:03:04.878989 : Epoch  6, Batch    634, Loss  0.882508, Average Loss  0.869637, Time  0.234657
2021-09-22 14:03:07.478962 : Epoch  6, Batch    635, Loss  0.871615, Average Loss  0.869723, Time  0.234586
2021-09-22 14:03:10.092292 : Epoch  6, Batch    636, Loss  0.881651, Average Loss  0.869783, Time  0.234698
2021-09-22 14:03:12.698759 : Epoch  6, Batch    637, Loss  0.875078, Average Loss  0.869823, Time  0.234596
2021-09-22 14:03:15.306006 : Epoch  6, Batch    638, Loss  0.899696, Average Loss  0.869904, Time  0.234551
2021-09-22 14:03:17.916884 : Epoch  6, Batch    639, Loss  0.839719, Average Loss  0.869580, Time  0.235881
2021-09-22 14:03:20.515369 : Epoch  6, Batch    640, Loss  0.849622, Average Loss  0.869483, Time  0.234775
2021-09-22 14:03:23.125072 : Epoch  6, Batch    641, Loss  0.872384, Average Loss  0.869367, Time  0.234525
2021-09-22 14:03:25.728015 : Epoch  6, Batch    642, Loss  0.866345, Average Loss  0.869318, Time  0.233952
2021-09-22 14:03:28.340731 : Epoch  6, Batch    643, Loss  0.894036, Average Loss  0.869409, Time  0.235763
2021-09-22 14:03:30.936320 : Epoch  6, Batch    644, Loss  0.870036, Average Loss  0.869417, Time  0.234401
2021-09-22 14:03:33.531439 : Epoch  6, Batch    645, Loss  0.846729, Average Loss  0.869262, Time  0.234931
2021-09-22 14:03:36.115027 : Epoch  6, Batch    646, Loss  0.860204, Average Loss  0.869209, Time  0.235090
2021-09-22 14:03:38.708925 : Epoch  6, Batch    647, Loss  0.887507, Average Loss  0.869296, Time  0.235917
2021-09-22 14:03:41.314189 : Epoch  6, Batch    648, Loss  0.870658, Average Loss  0.869266, Time  0.235667
2021-09-22 14:03:43.910972 : Epoch  6, Batch    649, Loss  0.882630, Average Loss  0.869375, Time  0.234910
2021-09-22 14:03:46.508935 : Epoch  6, Batch    650, Loss  0.857883, Average Loss  0.869435, Time  0.234571
2021-09-22 14:03:49.109799 : Epoch  6, Batch    651, Loss  0.884229, Average Loss  0.869586, Time  0.235756
2021-09-22 14:03:51.724441 : Epoch  6, Batch    652, Loss  0.860030, Average Loss  0.869541, Time  0.235220
2021-09-22 14:03:54.337713 : Epoch  6, Batch    653, Loss  0.861783, Average Loss  0.869523, Time  0.236083
2021-09-22 14:03:56.948783 : Epoch  6, Batch    654, Loss  0.883579, Average Loss  0.869505, Time  0.234172
2021-09-22 14:03:59.548843 : Epoch  6, Batch    655, Loss  0.851658, Average Loss  0.869428, Time  0.235694
2021-09-22 14:04:02.153531 : Epoch  6, Batch    656, Loss  0.875454, Average Loss  0.869467, Time  0.234742
2021-09-22 14:04:04.747017 : Epoch  6, Batch    657, Loss  0.876936, Average Loss  0.869494, Time  0.235959
2021-09-22 14:04:07.349793 : Epoch  6, Batch    658, Loss  0.848756, Average Loss  0.869333, Time  0.234545
2021-09-22 14:04:09.949811 : Epoch  6, Batch    659, Loss  0.867179, Average Loss  0.869199, Time  0.234958
2021-09-22 14:04:12.554327 : Epoch  6, Batch    660, Loss  0.866163, Average Loss  0.869094, Time  0.234568
2021-09-22 14:04:15.198752 : Epoch  6, Batch    661, Loss  0.898357, Average Loss  0.869345, Time  0.234637
2021-09-22 14:04:17.803997 : Epoch  6, Batch    662, Loss  0.875681, Average Loss  0.869483, Time  0.234400
2021-09-22 14:04:20.397488 : Epoch  6, Batch    663, Loss  0.897019, Average Loss  0.869603, Time  0.234465
2021-09-22 14:04:23.001253 : Epoch  6, Batch    664, Loss  0.866686, Average Loss  0.869585, Time  0.234314
2021-09-22 14:04:25.614463 : Epoch  6, Batch    665, Loss  0.868221, Average Loss  0.869457, Time  0.235218
2021-09-22 14:04:28.214275 : Epoch  6, Batch    666, Loss  0.870384, Average Loss  0.869623, Time  0.234114
2021-09-22 14:04:30.840745 : Epoch  6, Batch    667, Loss  0.880108, Average Loss  0.869647, Time  0.235252
2021-09-22 14:04:33.457485 : Epoch  6, Batch    668, Loss  0.867066, Average Loss  0.869623, Time  0.234163
2021-09-22 14:04:36.062980 : Epoch  6, Batch    669, Loss  0.854961, Average Loss  0.869545, Time  0.235015
2021-09-22 14:04:38.679600 : Epoch  6, Batch    670, Loss  0.863959, Average Loss  0.869517, Time  0.234601
2021-09-22 14:04:41.285950 : Epoch  6, Batch    671, Loss  0.876117, Average Loss  0.869591, Time  0.235021
2021-09-22 14:04:43.899436 : Epoch  6, Batch    672, Loss  0.854698, Average Loss  0.869589, Time  0.238256
2021-09-22 14:04:46.502026 : Epoch  6, Batch    673, Loss  0.865658, Average Loss  0.869581, Time  0.234541
2021-09-22 14:04:49.113144 : Epoch  6, Batch    674, Loss  0.896985, Average Loss  0.869544, Time  0.234673
2021-09-22 14:04:51.724055 : Epoch  6, Batch    675, Loss  0.861074, Average Loss  0.869542, Time  0.235096
2021-09-22 14:04:54.343938 : Epoch  6, Batch    676, Loss  0.883534, Average Loss  0.869583, Time  0.234938
2021-09-22 14:04:56.945246 : Epoch  6, Batch    677, Loss  0.859859, Average Loss  0.869424, Time  0.236482
2021-09-22 14:04:59.543971 : Epoch  6, Batch    678, Loss  0.898581, Average Loss  0.869518, Time  0.234020
2021-09-22 14:05:02.166787 : Epoch  6, Batch    679, Loss  0.853581, Average Loss  0.869342, Time  0.235637
2021-09-22 14:05:04.775289 : Epoch  6, Batch    680, Loss  0.893293, Average Loss  0.869277, Time  0.236198
2021-09-22 14:05:07.392277 : Epoch  6, Batch    681, Loss  0.889605, Average Loss  0.869349, Time  0.234776
2021-09-22 14:05:10.002329 : Epoch  6, Batch    682, Loss  0.866376, Average Loss  0.869345, Time  0.235161
2021-09-22 14:05:12.611059 : Epoch  6, Batch    683, Loss  0.862384, Average Loss  0.869247, Time  0.234796
2021-09-22 14:05:15.216132 : Epoch  6, Batch    684, Loss  0.874857, Average Loss  0.869313, Time  0.234466
2021-09-22 14:05:17.820922 : Epoch  6, Batch    685, Loss  0.875492, Average Loss  0.869422, Time  0.235677
2021-09-22 14:05:20.428084 : Epoch  6, Batch    686, Loss  0.865462, Average Loss  0.869349, Time  0.234341
2021-09-22 14:05:23.042749 : Epoch  6, Batch    687, Loss  0.844077, Average Loss  0.869242, Time  0.235029
2021-09-22 14:05:25.654979 : Epoch  6, Batch    688, Loss  0.849750, Average Loss  0.869100, Time  0.235334
2021-09-22 14:05:28.261927 : Epoch  6, Batch    689, Loss  0.872587, Average Loss  0.869098, Time  0.234811
2021-09-22 14:05:30.871154 : Epoch  6, Batch    690, Loss  0.878973, Average Loss  0.869274, Time  0.234376
2021-09-22 14:05:33.518810 : Epoch  6, Batch    691, Loss  0.893566, Average Loss  0.869341, Time  0.234802
2021-09-22 14:05:36.120303 : Epoch  6, Batch    692, Loss  0.870548, Average Loss  0.869336, Time  0.234887
2021-09-22 14:05:38.727463 : Epoch  6, Batch    693, Loss  0.885212, Average Loss  0.869387, Time  0.235389
2021-09-22 14:05:41.330650 : Epoch  6, Batch    694, Loss  0.867894, Average Loss  0.869384, Time  0.234611
2021-09-22 14:05:43.947313 : Epoch  6, Batch    695, Loss  0.882487, Average Loss  0.869513, Time  0.235089
2021-09-22 14:05:46.558791 : Epoch  6, Batch    696, Loss  0.868472, Average Loss  0.869595, Time  0.247550
2021-09-22 14:05:49.192876 : Epoch  6, Batch    697, Loss  0.849298, Average Loss  0.869496, Time  0.235574
2021-09-22 14:05:51.800947 : Epoch  6, Batch    698, Loss  0.879940, Average Loss  0.869453, Time  0.235925
2021-09-22 14:05:54.416271 : Epoch  6, Batch    699, Loss  0.850118, Average Loss  0.869333, Time  0.235076
2021-09-22 14:05:57.034212 : Epoch  6, Batch    700, Loss  0.872091, Average Loss  0.869392, Time  0.235371
2021-09-22 14:05:59.635097 : Epoch  6, Batch    701, Loss  0.883144, Average Loss  0.869453, Time  0.235394
2021-09-22 14:06:02.239887 : Epoch  6, Batch    702, Loss  0.883046, Average Loss  0.869445, Time  0.234833
2021-09-22 14:06:04.883242 : Epoch  6, Batch    703, Loss  0.872917, Average Loss  0.869511, Time  0.234070
2021-09-22 14:06:07.527037 : Epoch  6, Batch    704, Loss  0.889150, Average Loss  0.869536, Time  0.235287
2021-09-22 14:06:10.125042 : Epoch  6, Batch    705, Loss  0.877344, Average Loss  0.869571, Time  0.234675
2021-09-22 14:06:12.724460 : Epoch  6, Batch    706, Loss  0.897443, Average Loss  0.869716, Time  0.234520
2021-09-22 14:06:15.329194 : Epoch  6, Batch    707, Loss  0.877557, Average Loss  0.869727, Time  0.234711
2021-09-22 14:06:17.917843 : Epoch  6, Batch    708, Loss  0.856111, Average Loss  0.869785, Time  0.234572
2021-09-22 14:06:20.520015 : Epoch  6, Batch    709, Loss  0.848755, Average Loss  0.869636, Time  0.234685
2021-09-22 14:06:23.117953 : Epoch  6, Batch    710, Loss  0.876259, Average Loss  0.869711, Time  0.235409
2021-09-22 14:06:25.737823 : Epoch  6, Batch    711, Loss  0.849333, Average Loss  0.869562, Time  0.234655
2021-09-22 14:06:28.328007 : Epoch  6, Batch    712, Loss  0.874269, Average Loss  0.869575, Time  0.234479
2021-09-22 14:06:30.923978 : Epoch  6, Batch    713, Loss  0.875138, Average Loss  0.869600, Time  0.235243
2021-09-22 14:06:33.528436 : Epoch  6, Batch    714, Loss  0.862322, Average Loss  0.869529, Time  0.234596
2021-09-22 14:06:36.124255 : Epoch  6, Batch    715, Loss  0.869679, Average Loss  0.869585, Time  0.234923
2021-09-22 14:06:38.734777 : Epoch  6, Batch    716, Loss  0.861446, Average Loss  0.869579, Time  0.234533
2021-09-22 14:06:41.340237 : Epoch  6, Batch    717, Loss  0.870735, Average Loss  0.869684, Time  0.235110
2021-09-22 14:06:43.942962 : Epoch  6, Batch    718, Loss  0.862126, Average Loss  0.869712, Time  0.234689
2021-09-22 14:06:46.546968 : Epoch  6, Batch    719, Loss  0.877438, Average Loss  0.869846, Time  0.234703
2021-09-22 14:06:57.663495 : Epoch  6, Batch    720, Loss  0.879354, Average Loss  0.869938, Time  0.268867
2021-09-22 14:10:59.077747 : CheckPoint: Validation Loss  0.00030870, Best Loss  0.00029393
2021-09-22 14:11:01.657072 : Epoch  6, Batch    721, Loss  0.858926, Average Loss  0.869851, Time  0.234717
2021-09-22 14:11:04.234914 : Epoch  6, Batch    722, Loss  0.882994, Average Loss  0.869931, Time  0.233412
2021-09-22 14:11:06.810359 : Epoch  6, Batch    723, Loss  0.865836, Average Loss  0.869829, Time  0.234023
2021-09-22 14:11:09.397894 : Epoch  6, Batch    724, Loss  0.851610, Average Loss  0.869788, Time  0.233773
2021-09-22 14:11:11.983938 : Epoch  6, Batch    725, Loss  0.861924, Average Loss  0.869791, Time  0.233275
2021-09-22 14:11:14.567688 : Epoch  6, Batch    726, Loss  0.869309, Average Loss  0.869810, Time  0.234567
2021-09-22 14:11:17.153463 : Epoch  6, Batch    727, Loss  0.867378, Average Loss  0.869762, Time  0.234011
2021-09-22 14:11:19.735203 : Epoch  6, Batch    728, Loss  0.854216, Average Loss  0.869700, Time  0.232884
2021-09-22 14:11:22.327960 : Epoch  6, Batch    729, Loss  0.854903, Average Loss  0.869527, Time  0.237041
2021-09-22 14:11:24.906966 : Epoch  6, Batch    730, Loss  0.883344, Average Loss  0.869625, Time  0.233629
2021-09-22 14:11:27.483614 : Epoch  6, Batch    731, Loss  0.863801, Average Loss  0.869663, Time  0.234256
2021-09-22 14:11:30.076685 : Epoch  6, Batch    732, Loss  0.870765, Average Loss  0.869741, Time  0.233629
2021-09-22 14:11:32.647087 : Epoch  6, Batch    733, Loss  0.880652, Average Loss  0.869738, Time  0.233494
2021-09-22 14:11:35.213987 : Epoch  6, Batch    734, Loss  0.869330, Average Loss  0.869778, Time  0.234745
2021-09-22 14:11:37.805384 : Epoch  6, Batch    735, Loss  0.886701, Average Loss  0.869889, Time  0.233280
2021-09-22 14:11:40.389603 : Epoch  6, Batch    736, Loss  0.877680, Average Loss  0.869982, Time  0.237088
2021-09-22 14:11:42.972332 : Epoch  6, Batch    737, Loss  0.880967, Average Loss  0.870093, Time  0.233729
2021-09-22 14:11:45.547666 : Epoch  6, Batch    738, Loss  0.858186, Average Loss  0.870099, Time  0.234037
2021-09-22 14:11:48.143040 : Epoch  6, Batch    739, Loss  0.881182, Average Loss  0.870195, Time  0.235032
2021-09-22 14:11:50.713096 : Epoch  6, Batch    740, Loss  0.875141, Average Loss  0.870289, Time  0.233995
2021-09-22 14:11:53.291413 : Epoch  6, Batch    741, Loss  0.843199, Average Loss  0.870178, Time  0.233511
2021-09-22 14:11:55.859984 : Epoch  6, Batch    742, Loss  0.873732, Average Loss  0.870177, Time  0.234447
2021-09-22 14:11:58.457085 : Epoch  6, Batch    743, Loss  0.868795, Average Loss  0.870351, Time  0.234460
2021-09-22 14:12:01.047843 : Epoch  6, Batch    744, Loss  0.855165, Average Loss  0.870214, Time  0.233327
2021-09-22 14:12:03.634079 : Epoch  6, Batch    745, Loss  0.852066, Average Loss  0.870087, Time  0.238747
2021-09-22 14:12:06.227000 : Epoch  6, Batch    746, Loss  0.866652, Average Loss  0.870142, Time  0.233301
2021-09-22 14:12:08.812258 : Epoch  6, Batch    747, Loss  0.860258, Average Loss  0.870054, Time  0.234109
2021-09-22 14:12:11.423708 : Epoch  6, Batch    748, Loss  0.857784, Average Loss  0.869937, Time  0.236148
2021-09-22 14:12:14.016212 : Epoch  6, Batch    749, Loss  0.895470, Average Loss  0.870082, Time  0.234359
2021-09-22 14:12:16.624485 : Epoch  6, Batch    750, Loss  0.854460, Average Loss  0.870043, Time  0.234680
2021-09-22 14:12:19.235205 : Epoch  6, Batch    751, Loss  0.878011, Average Loss  0.870082, Time  0.237348
2021-09-22 14:12:21.838302 : Epoch  6, Batch    752, Loss  0.858621, Average Loss  0.869999, Time  0.235242
2021-09-22 14:12:24.432255 : Epoch  6, Batch    753, Loss  0.854949, Average Loss  0.870001, Time  0.235393
2021-09-22 14:12:27.019782 : Epoch  6, Batch    754, Loss  0.853777, Average Loss  0.869948, Time  0.235030
2021-09-22 14:12:29.630470 : Epoch  6, Batch    755, Loss  0.864983, Average Loss  0.869850, Time  0.235582
2021-09-22 14:12:32.233934 : Epoch  6, Batch    756, Loss  0.888054, Average Loss  0.869992, Time  0.234426
2021-09-22 14:12:34.827020 : Epoch  6, Batch    757, Loss  0.866985, Average Loss  0.869908, Time  0.235089
2021-09-22 14:12:37.421667 : Epoch  6, Batch    758, Loss  0.869069, Average Loss  0.869854, Time  0.234379
2021-09-22 14:12:40.030308 : Epoch  6, Batch    759, Loss  0.887119, Average Loss  0.869974, Time  0.242382
2021-09-22 14:12:42.648782 : Epoch  6, Batch    760, Loss  0.846722, Average Loss  0.870000, Time  0.236217
2021-09-22 14:12:45.236507 : Epoch  6, Batch    761, Loss  0.863033, Average Loss  0.869979, Time  0.236979
2021-09-22 14:12:47.833964 : Epoch  6, Batch    762, Loss  0.854898, Average Loss  0.869905, Time  0.235837
2021-09-22 14:12:50.462762 : Epoch  6, Batch    763, Loss  0.886478, Average Loss  0.870004, Time  0.235971
2021-09-22 14:12:53.061360 : Epoch  6, Batch    764, Loss  0.878856, Average Loss  0.870080, Time  0.235639
2021-09-22 14:12:55.647478 : Epoch  6, Batch    765, Loss  0.883714, Average Loss  0.870226, Time  0.234466
2021-09-22 14:12:58.238485 : Epoch  6, Batch    766, Loss  0.873234, Average Loss  0.870269, Time  0.244509
2021-09-22 14:13:00.849729 : Epoch  6, Batch    767, Loss  0.847252, Average Loss  0.870088, Time  0.239575
2021-09-22 14:13:03.442340 : Epoch  6, Batch    768, Loss  0.885271, Average Loss  0.870227, Time  0.239583
2021-09-22 14:13:06.019398 : Epoch  6, Batch    769, Loss  0.849452, Average Loss  0.870004, Time  0.241034
2021-09-22 14:13:08.623990 : Epoch  6, Batch    770, Loss  0.870383, Average Loss  0.870008, Time  0.235507
2021-09-22 14:13:11.217270 : Epoch  6, Batch    771, Loss  0.865281, Average Loss  0.869844, Time  0.236175
2021-09-22 14:13:13.799729 : Epoch  6, Batch    772, Loss  0.857058, Average Loss  0.869847, Time  0.237785
2021-09-22 14:13:16.386759 : Epoch  6, Batch    773, Loss  0.872471, Average Loss  0.869822, Time  0.234934
2021-09-22 14:13:18.968186 : Epoch  6, Batch    774, Loss  0.891936, Average Loss  0.869993, Time  0.234654
2021-09-22 14:13:21.552911 : Epoch  6, Batch    775, Loss  0.874473, Average Loss  0.870161, Time  0.234422
2021-09-22 14:13:24.140332 : Epoch  6, Batch    776, Loss  0.863120, Average Loss  0.870135, Time  0.236401
2021-09-22 14:13:26.730128 : Epoch  6, Batch    777, Loss  0.859839, Average Loss  0.870058, Time  0.234988
2021-09-22 14:13:29.317849 : Epoch  6, Batch    778, Loss  0.871042, Average Loss  0.870007, Time  0.234720
2021-09-22 14:13:31.909286 : Epoch  6, Batch    779, Loss  0.889478, Average Loss  0.870084, Time  0.234887
2021-09-22 14:13:34.501273 : Epoch  6, Batch    780, Loss  0.883993, Average Loss  0.870244, Time  0.234577
2021-09-22 14:13:37.092788 : Epoch  6, Batch    781, Loss  0.857455, Average Loss  0.870158, Time  0.235043
2021-09-22 14:13:39.711776 : Epoch  6, Batch    782, Loss  0.883433, Average Loss  0.870117, Time  0.235692
2021-09-22 14:13:42.304479 : Epoch  6, Batch    783, Loss  0.865756, Average Loss  0.870069, Time  0.236192
2021-09-22 14:13:44.913881 : Epoch  6, Batch    784, Loss  0.871484, Average Loss  0.870181, Time  0.235243
2021-09-22 14:13:47.502268 : Epoch  6, Batch    785, Loss  0.863768, Average Loss  0.870163, Time  0.235879
2021-09-22 14:13:50.095420 : Epoch  6, Batch    786, Loss  0.878084, Average Loss  0.870234, Time  0.234108
2021-09-22 14:13:52.685710 : Epoch  6, Batch    787, Loss  0.851982, Average Loss  0.870141, Time  0.235682
2021-09-22 14:13:55.285804 : Epoch  6, Batch    788, Loss  0.883446, Average Loss  0.870226, Time  0.249263
2021-09-22 14:13:57.885790 : Epoch  6, Batch    789, Loss  0.848084, Average Loss  0.870133, Time  0.234591
2021-09-22 14:14:00.472756 : Epoch  6, Batch    790, Loss  0.872125, Average Loss  0.870118, Time  0.234439
2021-09-22 14:14:03.099234 : Epoch  6, Batch    791, Loss  0.865049, Average Loss  0.870015, Time  0.235172
2021-09-22 14:14:05.702746 : Epoch  6, Batch    792, Loss  0.847239, Average Loss  0.869924, Time  0.235064
2021-09-22 14:14:08.289648 : Epoch  6, Batch    793, Loss  0.864610, Average Loss  0.869909, Time  0.235038
2021-09-22 14:14:10.891306 : Epoch  6, Batch    794, Loss  0.850522, Average Loss  0.869775, Time  0.235181
2021-09-22 14:14:13.474266 : Epoch  6, Batch    795, Loss  0.872374, Average Loss  0.869719, Time  0.234211
2021-09-22 14:14:16.074607 : Epoch  6, Batch    796, Loss  0.874432, Average Loss  0.869739, Time  0.234753
2021-09-22 14:14:18.664978 : Epoch  6, Batch    797, Loss  0.871493, Average Loss  0.869789, Time  0.235308
2021-09-22 14:14:21.264739 : Epoch  6, Batch    798, Loss  0.891314, Average Loss  0.869970, Time  0.234982
2021-09-22 14:14:23.860791 : Epoch  6, Batch    799, Loss  0.849654, Average Loss  0.869870, Time  0.234723
2021-09-22 14:14:26.466179 : Epoch  6, Batch    800, Loss  0.862844, Average Loss  0.869863, Time  0.234509
2021-09-22 14:14:29.064267 : Epoch  6, Batch    801, Loss  0.868673, Average Loss  0.869893, Time  0.234763
2021-09-22 14:14:31.668307 : Epoch  6, Batch    802, Loss  0.881125, Average Loss  0.869910, Time  0.234706
2021-09-22 14:14:34.290180 : Epoch  6, Batch    803, Loss  0.870106, Average Loss  0.869875, Time  0.235578
2021-09-22 14:14:36.895645 : Epoch  6, Batch    804, Loss  0.879691, Average Loss  0.869905, Time  0.234599
2021-09-22 14:14:39.502997 : Epoch  6, Batch    805, Loss  0.884107, Average Loss  0.869943, Time  0.235616
2021-09-22 14:14:42.084921 : Epoch  6, Batch    806, Loss  0.859092, Average Loss  0.869768, Time  0.234238
2021-09-22 14:14:44.667772 : Epoch  6, Batch    807, Loss  0.869814, Average Loss  0.869789, Time  0.235233
2021-09-22 14:14:47.270741 : Epoch  6, Batch    808, Loss  0.865861, Average Loss  0.869811, Time  0.234029
2021-09-22 14:14:49.866943 : Epoch  6, Batch    809, Loss  0.864527, Average Loss  0.869867, Time  0.237727
2021-09-22 14:14:52.460804 : Epoch  6, Batch    810, Loss  0.880552, Average Loss  0.869785, Time  0.235369
2021-09-22 14:14:55.051803 : Epoch  6, Batch    811, Loss  0.868253, Average Loss  0.869745, Time  0.235755
2021-09-22 14:14:57.651166 : Epoch  6, Batch    812, Loss  0.861682, Average Loss  0.869663, Time  0.237026
2021-09-22 14:15:00.242562 : Epoch  6, Batch    813, Loss  0.875226, Average Loss  0.869644, Time  0.234917
2021-09-22 14:15:02.838852 : Epoch  6, Batch    814, Loss  0.894665, Average Loss  0.869732, Time  0.235852
2021-09-22 14:15:05.439125 : Epoch  6, Batch    815, Loss  0.876224, Average Loss  0.869650, Time  0.234390
2021-09-22 14:15:08.023807 : Epoch  6, Batch    816, Loss  0.880901, Average Loss  0.869748, Time  0.234460
2021-09-22 14:15:10.612815 : Epoch  6, Batch    817, Loss  0.886443, Average Loss  0.869798, Time  0.235721
2021-09-22 14:15:13.218778 : Epoch  6, Batch    818, Loss  0.871287, Average Loss  0.869870, Time  0.234303
2021-09-22 14:15:15.803089 : Epoch  6, Batch    819, Loss  0.873863, Average Loss  0.869882, Time  0.235236
2021-09-22 14:15:18.404776 : Epoch  6, Batch    820, Loss  0.873015, Average Loss  0.869933, Time  0.235523
2021-09-22 14:19:19.840556 : CheckPoint: Validation Loss  0.00030487, Best Loss  0.00029393
2021-09-22 14:19:22.426013 : Epoch  6, Batch    821, Loss  0.895402, Average Loss  0.870024, Time  0.235352
2021-09-22 14:19:25.013838 : Epoch  6, Batch    822, Loss  0.853192, Average Loss  0.869959, Time  0.234703
2021-09-22 14:19:27.639911 : Epoch  6, Batch    823, Loss  0.872672, Average Loss  0.869963, Time  0.234781
2021-09-22 14:19:30.225366 : Epoch  6, Batch    824, Loss  0.882136, Average Loss  0.870043, Time  0.234468
2021-09-22 14:19:32.802171 : Epoch  6, Batch    825, Loss  0.877939, Average Loss  0.870076, Time  0.234313
2021-09-22 14:19:35.400438 : Epoch  6, Batch    826, Loss  0.876781, Average Loss  0.870132, Time  0.234310
2021-09-22 14:19:37.999551 : Epoch  6, Batch    827, Loss  0.877345, Average Loss  0.870103, Time  0.235286
2021-09-22 14:19:40.629307 : Epoch  6, Batch    828, Loss  0.875226, Average Loss  0.870199, Time  0.234268
2021-09-22 14:19:43.229674 : Epoch  6, Batch    829, Loss  0.879284, Average Loss  0.870272, Time  0.235489
2021-09-22 14:19:45.807834 : Epoch  6, Batch    830, Loss  0.887541, Average Loss  0.870336, Time  0.234545
2021-09-22 14:19:48.396017 : Epoch  6, Batch    831, Loss  0.873522, Average Loss  0.870372, Time  0.234312
2021-09-22 14:19:51.009778 : Epoch  6, Batch    832, Loss  0.868509, Average Loss  0.870585, Time  0.234072
2021-09-22 14:19:53.590866 : Epoch  6, Batch    833, Loss  0.890523, Average Loss  0.870725, Time  0.235674
2021-09-22 14:19:56.192213 : Epoch  6, Batch    834, Loss  0.869418, Average Loss  0.870659, Time  0.238034
2021-09-22 14:19:58.784113 : Epoch  6, Batch    835, Loss  0.882295, Average Loss  0.870713, Time  0.234388
2021-09-22 14:20:01.371813 : Epoch  6, Batch    836, Loss  0.872100, Average Loss  0.870665, Time  0.236411
2021-09-22 14:20:03.973848 : Epoch  6, Batch    837, Loss  0.871942, Average Loss  0.870649, Time  0.235444
2021-09-22 14:20:06.559251 : Epoch  6, Batch    838, Loss  0.879689, Average Loss  0.870549, Time  0.233676
2021-09-22 14:20:09.162088 : Epoch  6, Batch    839, Loss  0.861487, Average Loss  0.870658, Time  0.235119
2021-09-22 14:20:11.754644 : Epoch  6, Batch    840, Loss  0.871019, Average Loss  0.870765, Time  0.233998
2021-09-22 14:20:14.343261 : Epoch  6, Batch    841, Loss  0.865362, Average Loss  0.870730, Time  0.234116
2021-09-22 14:20:16.941531 : Epoch  6, Batch    842, Loss  0.874105, Average Loss  0.870769, Time  0.235822
2021-09-22 14:20:19.535681 : Epoch  6, Batch    843, Loss  0.867705, Average Loss  0.870637, Time  0.235208
2021-09-22 14:20:22.123225 : Epoch  6, Batch    844, Loss  0.854151, Average Loss  0.870558, Time  0.235459
2021-09-22 14:20:24.753755 : Epoch  6, Batch    845, Loss  0.857556, Average Loss  0.870612, Time  0.235162
2021-09-22 14:20:27.343191 : Epoch  6, Batch    846, Loss  0.860057, Average Loss  0.870611, Time  0.234613
2021-09-22 14:20:29.935763 : Epoch  6, Batch    847, Loss  0.886407, Average Loss  0.870606, Time  0.234974
2021-09-22 14:20:32.519408 : Epoch  6, Batch    848, Loss  0.852483, Average Loss  0.870515, Time  0.234892
2021-09-22 14:20:35.113076 : Epoch  6, Batch    849, Loss  0.873412, Average Loss  0.870469, Time  0.235115
2021-09-22 14:20:37.715233 : Epoch  6, Batch    850, Loss  0.876766, Average Loss  0.870563, Time  0.236324
2021-09-22 14:20:40.341055 : Epoch  6, Batch    851, Loss  0.888455, Average Loss  0.870584, Time  0.236583
2021-09-22 14:20:42.946326 : Epoch  6, Batch    852, Loss  0.864382, Average Loss  0.870606, Time  0.235900
2021-09-22 14:20:45.537455 : Epoch  6, Batch    853, Loss  0.879792, Average Loss  0.870696, Time  0.234319
2021-09-22 14:20:48.147266 : Epoch  6, Batch    854, Loss  0.892911, Average Loss  0.870743, Time  0.241675
2021-09-22 14:20:50.743262 : Epoch  6, Batch    855, Loss  0.870874, Average Loss  0.870839, Time  0.237262
2021-09-22 14:20:53.323001 : Epoch  6, Batch    856, Loss  0.876299, Average Loss  0.870843, Time  0.234607
2021-09-22 14:20:55.915107 : Epoch  6, Batch    857, Loss  0.885154, Average Loss  0.870884, Time  0.235368
2021-09-22 14:20:58.516826 : Epoch  6, Batch    858, Loss  0.867087, Average Loss  0.870976, Time  0.235812
2021-09-22 14:21:01.123060 : Epoch  6, Batch    859, Loss  0.868163, Average Loss  0.870981, Time  0.237326
2021-09-22 14:21:03.725879 : Epoch  6, Batch    860, Loss  0.850836, Average Loss  0.870904, Time  0.235168
2021-09-22 14:21:06.328769 : Epoch  6, Batch    861, Loss  0.855141, Average Loss  0.870688, Time  0.238039
2021-09-22 14:21:08.928990 : Epoch  6, Batch    862, Loss  0.850994, Average Loss  0.870564, Time  0.238010
2021-09-22 14:21:11.529490 : Epoch  6, Batch    863, Loss  0.888099, Average Loss  0.870520, Time  0.235343
2021-09-22 14:21:14.122384 : Epoch  6, Batch    864, Loss  0.858269, Average Loss  0.870478, Time  0.236174
2021-09-22 14:21:16.716994 : Epoch  6, Batch    865, Loss  0.877513, Average Loss  0.870524, Time  0.235279
2021-09-22 14:21:19.315306 : Epoch  6, Batch    866, Loss  0.881845, Average Loss  0.870581, Time  0.234807
2021-09-22 14:21:21.907007 : Epoch  6, Batch    867, Loss  0.871897, Average Loss  0.870540, Time  0.235670
2021-09-22 14:21:24.504572 : Epoch  6, Batch    868, Loss  0.873006, Average Loss  0.870570, Time  0.236659
2021-09-22 14:21:27.092498 : Epoch  6, Batch    869, Loss  0.893131, Average Loss  0.870761, Time  0.235698
2021-09-22 14:21:29.683788 : Epoch  6, Batch    870, Loss  0.874289, Average Loss  0.870813, Time  0.238179
2021-09-22 14:21:32.274746 : Epoch  6, Batch    871, Loss  0.847771, Average Loss  0.870671, Time  0.236780
2021-09-22 14:21:34.870143 : Epoch  6, Batch    872, Loss  0.868547, Average Loss  0.870740, Time  0.235712
2021-09-22 14:21:37.476584 : Epoch  6, Batch    873, Loss  0.869673, Average Loss  0.870760, Time  0.244607
2021-09-22 14:21:40.065419 : Epoch  6, Batch    874, Loss  0.866793, Average Loss  0.870609, Time  0.235689
2021-09-22 14:21:42.669976 : Epoch  6, Batch    875, Loss  0.864270, Average Loss  0.870625, Time  0.235811
2021-09-22 14:21:45.269609 : Epoch  6, Batch    876, Loss  0.868006, Average Loss  0.870548, Time  0.239026
2021-09-22 14:21:47.854082 : Epoch  6, Batch    877, Loss  0.875747, Average Loss  0.870627, Time  0.235194
2021-09-22 14:21:50.434586 : Epoch  6, Batch    878, Loss  0.874748, Average Loss  0.870508, Time  0.235901
2021-09-22 14:21:53.013461 : Epoch  6, Batch    879, Loss  0.872707, Average Loss  0.870604, Time  0.242301
2021-09-22 14:21:55.590022 : Epoch  6, Batch    880, Loss  0.873910, Average Loss  0.870507, Time  0.236363
2021-09-22 14:21:58.210823 : Epoch  6, Batch    881, Loss  0.864675, Average Loss  0.870382, Time  0.255895
2021-09-22 14:22:00.805716 : Epoch  6, Batch    882, Loss  0.885761, Average Loss  0.870479, Time  0.235796
2021-09-22 14:22:03.397828 : Epoch  6, Batch    883, Loss  0.886052, Average Loss  0.870597, Time  0.236156
2021-09-22 14:22:05.992160 : Epoch  6, Batch    884, Loss  0.868730, Average Loss  0.870567, Time  0.234985
2021-09-22 14:22:08.593196 : Epoch  6, Batch    885, Loss  0.865730, Average Loss  0.870518, Time  0.236266
2021-09-22 14:22:11.194205 : Epoch  6, Batch    886, Loss  0.864986, Average Loss  0.870515, Time  0.243470
2021-09-22 14:22:13.801175 : Epoch  6, Batch    887, Loss  0.883444, Average Loss  0.870712, Time  0.235696
2021-09-22 14:22:16.388672 : Epoch  6, Batch    888, Loss  0.881578, Average Loss  0.870871, Time  0.234994
2021-09-22 14:22:18.971912 : Epoch  6, Batch    889, Loss  0.871588, Average Loss  0.870866, Time  0.235585
2021-09-22 14:22:21.573605 : Epoch  6, Batch    890, Loss  0.866464, Average Loss  0.870804, Time  0.236533
2021-09-22 14:22:24.157273 : Epoch  6, Batch    891, Loss  0.869625, Average Loss  0.870684, Time  0.235149
2021-09-22 14:22:26.757043 : Epoch  6, Batch    892, Loss  0.886444, Average Loss  0.870764, Time  0.235682
2021-09-22 14:22:29.357118 : Epoch  6, Batch    893, Loss  0.886608, Average Loss  0.870771, Time  0.237338
2021-09-22 14:22:31.959352 : Epoch  6, Batch    894, Loss  0.863641, Average Loss  0.870749, Time  0.248503
2021-09-22 14:22:34.549356 : Epoch  6, Batch    895, Loss  0.876344, Average Loss  0.870719, Time  0.236207
2021-09-22 14:22:37.167881 : Epoch  6, Batch    896, Loss  0.869031, Average Loss  0.870721, Time  0.237485
2021-09-22 14:22:39.756857 : Epoch  6, Batch    897, Loss  0.880555, Average Loss  0.870878, Time  0.236488
2021-09-22 14:22:42.365758 : Epoch  6, Batch    898, Loss  0.886158, Average Loss  0.870909, Time  0.238864
2021-09-22 14:22:44.966904 : Epoch  6, Batch    899, Loss  0.864238, Average Loss  0.870979, Time  0.235909
2021-09-22 14:22:47.562084 : Epoch  6, Batch    900, Loss  0.847066, Average Loss  0.870854, Time  0.235274
2021-09-22 14:22:50.158822 : Epoch  6, Batch    901, Loss  0.857137, Average Loss  0.870724, Time  0.234928
2021-09-22 14:22:52.749360 : Epoch  6, Batch    902, Loss  0.864483, Average Loss  0.870631, Time  0.234858
2021-09-22 14:22:55.344108 : Epoch  6, Batch    903, Loss  0.895698, Average Loss  0.870745, Time  0.241835
2021-09-22 14:22:57.944340 : Epoch  6, Batch    904, Loss  0.875128, Average Loss  0.870675, Time  0.234727
2021-09-22 14:23:00.533306 : Epoch  6, Batch    905, Loss  0.872605, Average Loss  0.870651, Time  0.235384
2021-09-22 14:23:03.134548 : Epoch  6, Batch    906, Loss  0.870782, Average Loss  0.870518, Time  0.234918
2021-09-22 14:23:05.755326 : Epoch  6, Batch    907, Loss  0.897512, Average Loss  0.870618, Time  0.237469
2021-09-22 14:23:08.355356 : Epoch  6, Batch    908, Loss  0.889534, Average Loss  0.870785, Time  0.234507
2021-09-22 14:23:10.962512 : Epoch  6, Batch    909, Loss  0.859699, Average Loss  0.870840, Time  0.234763
2021-09-22 14:23:13.572211 : Epoch  6, Batch    910, Loss  0.862304, Average Loss  0.870770, Time  0.235956
2021-09-22 14:23:16.172598 : Epoch  6, Batch    911, Loss  0.881598, Average Loss  0.870931, Time  0.236098
2021-09-22 14:23:18.772347 : Epoch  6, Batch    912, Loss  0.866817, Average Loss  0.870894, Time  0.235224
2021-09-22 14:23:21.362020 : Epoch  6, Batch    913, Loss  0.880033, Average Loss  0.870919, Time  0.236409
2021-09-22 14:23:23.965011 : Epoch  6, Batch    914, Loss  0.894810, Average Loss  0.871081, Time  0.236116
2021-09-22 14:23:26.558004 : Epoch  6, Batch    915, Loss  0.876127, Average Loss  0.871113, Time  0.236770
2021-09-22 14:23:29.144953 : Epoch  6, Batch    916, Loss  0.871194, Average Loss  0.871162, Time  0.235063
2021-09-22 14:23:31.743844 : Epoch  6, Batch    917, Loss  0.857988, Average Loss  0.871098, Time  0.236507
2021-09-22 14:23:34.343817 : Epoch  6, Batch    918, Loss  0.889729, Average Loss  0.871236, Time  0.235280
2021-09-22 14:23:36.938214 : Epoch  6, Batch    919, Loss  0.886067, Average Loss  0.871279, Time  0.235153
2021-09-22 14:23:39.546656 : Epoch  6, Batch    920, Loss  0.852794, Average Loss  0.871147, Time  0.234880
2021-09-22 14:27:43.140214 : CheckPoint: Validation Loss  0.00030394, Best Loss  0.00029393
2021-09-22 14:27:45.765664 : Epoch  6, Batch    921, Loss  0.881463, Average Loss  0.871259, Time  0.269954
2021-09-22 14:27:48.398751 : Epoch  6, Batch    922, Loss  0.849860, Average Loss  0.871094, Time  0.255394
2021-09-22 14:27:51.028962 : Epoch  6, Batch    923, Loss  0.888403, Average Loss  0.871206, Time  0.238720
2021-09-22 14:27:53.634341 : Epoch  6, Batch    924, Loss  0.880322, Average Loss  0.871350, Time  0.235430
2021-09-22 14:27:56.241050 : Epoch  6, Batch    925, Loss  0.874159, Average Loss  0.871411, Time  0.235820
2021-09-22 14:27:58.853006 : Epoch  6, Batch    926, Loss  0.870981, Average Loss  0.871420, Time  0.235517
2021-09-22 14:28:01.459865 : Epoch  6, Batch    927, Loss  0.878538, Average Loss  0.871475, Time  0.235518
2021-09-22 14:28:04.063307 : Epoch  6, Batch    928, Loss  0.861597, Average Loss  0.871512, Time  0.237659
2021-09-22 14:28:06.665840 : Epoch  6, Batch    929, Loss  0.866074, Average Loss  0.871568, Time  0.238931
2021-09-22 14:28:09.293403 : Epoch  6, Batch    930, Loss  0.873953, Average Loss  0.871521, Time  0.235110
2021-09-22 14:28:11.895351 : Epoch  6, Batch    931, Loss  0.866644, Average Loss  0.871535, Time  0.234882
2021-09-22 14:28:14.506943 : Epoch  6, Batch    932, Loss  0.839374, Average Loss  0.871378, Time  0.241951
2021-09-22 14:28:17.122371 : Epoch  6, Batch    933, Loss  0.869041, Average Loss  0.871320, Time  0.235008
2021-09-22 14:28:19.727175 : Epoch  6, Batch    934, Loss  0.840489, Average Loss  0.871176, Time  0.234842
2021-09-22 14:28:22.328302 : Epoch  6, Batch    935, Loss  0.868796, Average Loss  0.871087, Time  0.236332
2021-09-22 14:28:24.949339 : Epoch  6, Batch    936, Loss  0.888673, Average Loss  0.871142, Time  0.235661
2021-09-22 14:28:27.554469 : Epoch  6, Batch    937, Loss  0.860497, Average Loss  0.871039, Time  0.236577
2021-09-22 14:28:30.156852 : Epoch  6, Batch    938, Loss  0.843751, Average Loss  0.870967, Time  0.236541
2021-09-22 14:28:32.775053 : Epoch  6, Batch    939, Loss  0.891623, Average Loss  0.871019, Time  0.236272
2021-09-22 14:28:35.383210 : Epoch  6, Batch    940, Loss  0.856309, Average Loss  0.870925, Time  0.235618
2021-09-22 14:28:37.991271 : Epoch  6, Batch    941, Loss  0.869072, Average Loss  0.871055, Time  0.239968
2021-09-22 14:28:40.599360 : Epoch  6, Batch    942, Loss  0.883262, Average Loss  0.871102, Time  0.236705
2021-09-22 14:28:43.197262 : Epoch  6, Batch    943, Loss  0.847983, Average Loss  0.870998, Time  0.235952
2021-09-22 14:28:45.797804 : Epoch  6, Batch    944, Loss  0.855063, Average Loss  0.870998, Time  0.235507
2021-09-22 14:28:48.403795 : Epoch  6, Batch    945, Loss  0.865723, Average Loss  0.871066, Time  0.238348
2021-09-22 14:28:51.008348 : Epoch  6, Batch    946, Loss  0.881028, Average Loss  0.871138, Time  0.240589
2021-09-22 14:28:53.610035 : Epoch  6, Batch    947, Loss  0.858825, Average Loss  0.871131, Time  0.235192
2021-09-22 14:28:56.218480 : Epoch  6, Batch    948, Loss  0.870106, Average Loss  0.871192, Time  0.236367
2021-09-22 14:28:58.831337 : Epoch  6, Batch    949, Loss  0.858593, Average Loss  0.871008, Time  0.234697
2021-09-22 14:29:01.428573 : Epoch  6, Batch    950, Loss  0.872786, Average Loss  0.871099, Time  0.236212
2021-09-22 14:29:04.033197 : Epoch  6, Batch    951, Loss  0.876476, Average Loss  0.871092, Time  0.235376
2021-09-22 14:29:06.641897 : Epoch  6, Batch    952, Loss  0.861889, Average Loss  0.871108, Time  0.235438
2021-09-22 14:29:09.244468 : Epoch  6, Batch    953, Loss  0.871976, Average Loss  0.871193, Time  0.234863
2021-09-22 14:29:11.849161 : Epoch  6, Batch    954, Loss  0.840587, Average Loss  0.871127, Time  0.235847
2021-09-22 14:29:14.448526 : Epoch  6, Batch    955, Loss  0.874808, Average Loss  0.871176, Time  0.238855
2021-09-22 14:29:17.050929 : Epoch  6, Batch    956, Loss  0.875454, Average Loss  0.871113, Time  0.235357
2021-09-22 14:29:19.667169 : Epoch  6, Batch    957, Loss  0.853230, Average Loss  0.871045, Time  0.238162
2021-09-22 14:29:22.267128 : Epoch  6, Batch    958, Loss  0.873370, Average Loss  0.871066, Time  0.235266
2021-09-22 14:29:24.874418 : Epoch  6, Batch    959, Loss  0.858950, Average Loss  0.870925, Time  0.237544
2021-09-22 14:29:27.473324 : Epoch  6, Batch    960, Loss  0.889140, Average Loss  0.871137, Time  0.235649
2021-09-22 14:29:30.084987 : Epoch  6, Batch    961, Loss  0.876513, Average Loss  0.871205, Time  0.236169
2021-09-22 14:29:32.689987 : Epoch  6, Batch    962, Loss  0.868716, Average Loss  0.871274, Time  0.234663
2021-09-22 14:29:35.292294 : Epoch  6, Batch    963, Loss  0.865735, Average Loss  0.871170, Time  0.235709
2021-09-22 14:29:37.912939 : Epoch  6, Batch    964, Loss  0.860383, Average Loss  0.871078, Time  0.238266
2021-09-22 14:29:40.549379 : Epoch  6, Batch    965, Loss  0.880843, Average Loss  0.871063, Time  0.242473
2021-09-22 14:29:43.149294 : Epoch  6, Batch    966, Loss  0.889898, Average Loss  0.871147, Time  0.236103
2021-09-22 14:29:45.744868 : Epoch  6, Batch    967, Loss  0.888184, Average Loss  0.871351, Time  0.234968
2021-09-22 14:29:48.332242 : Epoch  6, Batch    968, Loss  0.876448, Average Loss  0.871307, Time  0.235600
2021-09-22 14:29:50.936823 : Epoch  6, Batch    969, Loss  0.850952, Average Loss  0.871315, Time  0.235417
2021-09-22 14:29:53.532388 : Epoch  6, Batch    970, Loss  0.872107, Average Loss  0.871323, Time  0.235628
2021-09-22 14:29:56.142670 : Epoch  6, Batch    971, Loss  0.871033, Average Loss  0.871352, Time  0.237008
2021-09-22 14:29:58.749912 : Epoch  6, Batch    972, Loss  0.876450, Average Loss  0.871449, Time  0.236984
2021-09-22 14:30:01.344383 : Epoch  6, Batch    973, Loss  0.871400, Average Loss  0.871444, Time  0.234366
2021-09-22 14:30:03.950394 : Epoch  6, Batch    974, Loss  0.871317, Average Loss  0.871341, Time  0.235798
2021-09-22 14:30:06.557856 : Epoch  6, Batch    975, Loss  0.876122, Average Loss  0.871349, Time  0.235618
2021-09-22 14:30:09.154921 : Epoch  6, Batch    976, Loss  0.878979, Average Loss  0.871428, Time  0.235173
2021-09-22 14:30:11.769962 : Epoch  6, Batch    977, Loss  0.862124, Average Loss  0.871440, Time  0.235397
2021-09-22 14:30:14.371439 : Epoch  6, Batch    978, Loss  0.860057, Average Loss  0.871385, Time  0.235620
2021-09-22 14:30:16.964782 : Epoch  6, Batch    979, Loss  0.852727, Average Loss  0.871201, Time  0.235134
2021-09-22 14:30:19.563793 : Epoch  6, Batch    980, Loss  0.846141, Average Loss  0.871012, Time  0.236749
2021-09-22 14:30:22.156314 : Epoch  6, Batch    981, Loss  0.865947, Average Loss  0.871054, Time  0.235176
2021-09-22 14:30:24.752925 : Epoch  6, Batch    982, Loss  0.859905, Average Loss  0.870937, Time  0.236278
2021-09-22 14:30:27.366896 : Epoch  6, Batch    983, Loss  0.836516, Average Loss  0.870790, Time  0.235361
2021-09-22 14:30:29.976850 : Epoch  6, Batch    984, Loss  0.875943, Average Loss  0.870813, Time  0.236181
2021-09-22 14:30:32.594813 : Epoch  6, Batch    985, Loss  0.856951, Average Loss  0.870779, Time  0.236312
2021-09-22 14:30:35.200009 : Epoch  6, Batch    986, Loss  0.887550, Average Loss  0.870826, Time  0.236341
2021-09-22 14:30:37.807225 : Epoch  6, Batch    987, Loss  0.879575, Average Loss  0.870964, Time  0.235081
2021-09-22 14:30:40.411965 : Epoch  6, Batch    988, Loss  0.863664, Average Loss  0.870865, Time  0.235291
2021-09-22 14:30:43.012035 : Epoch  6, Batch    989, Loss  0.894530, Average Loss  0.871097, Time  0.235733
2021-09-22 14:30:45.608326 : Epoch  6, Batch    990, Loss  0.894984, Average Loss  0.871211, Time  0.235042
2021-09-22 14:30:48.216464 : Epoch  6, Batch    991, Loss  0.861574, Average Loss  0.871194, Time  0.234958
2021-09-22 14:30:50.820980 : Epoch  6, Batch    992, Loss  0.886860, Average Loss  0.871392, Time  0.237206
2021-09-22 14:30:53.426162 : Epoch  6, Batch    993, Loss  0.858010, Average Loss  0.871359, Time  0.236986
2021-09-22 14:30:56.014988 : Epoch  6, Batch    994, Loss  0.871811, Average Loss  0.871466, Time  0.235024
2021-09-22 14:30:58.618812 : Epoch  6, Batch    995, Loss  0.875300, Average Loss  0.871480, Time  0.235616
2021-09-22 14:31:01.219336 : Epoch  6, Batch    996, Loss  0.860525, Average Loss  0.871411, Time  0.235843
2021-09-22 14:31:03.821703 : Epoch  6, Batch    997, Loss  0.877432, Average Loss  0.871440, Time  0.235075
2021-09-22 14:31:06.430293 : Epoch  6, Batch    998, Loss  0.861611, Average Loss  0.871292, Time  0.234802
2021-09-22 14:31:09.061297 : Epoch  6, Batch    999, Loss  0.849786, Average Loss  0.871293, Time  0.234702
2021-09-22 14:31:11.656826 : Epoch  6, Batch   1000, Loss  0.881222, Average Loss  0.871384, Time  0.234942
2021-09-22 14:31:14.259579 : Epoch  6, Batch   1001, Loss  0.881727, Average Loss  0.871450, Time  0.241863
2021-09-22 14:31:16.857233 : Epoch  6, Batch   1002, Loss  0.859694, Average Loss  0.871343, Time  0.238019
2021-09-22 14:31:19.459010 : Epoch  6, Batch   1003, Loss  0.866447, Average Loss  0.871324, Time  0.235409
2021-09-22 14:31:22.060655 : Epoch  6, Batch   1004, Loss  0.849369, Average Loss  0.871173, Time  0.234949
2021-09-22 14:31:24.655479 : Epoch  6, Batch   1005, Loss  0.871532, Average Loss  0.871110, Time  0.236490
2021-09-22 14:31:27.286546 : Epoch  6, Batch   1006, Loss  0.890586, Average Loss  0.871267, Time  0.235896
2021-09-22 14:31:29.904662 : Epoch  6, Batch   1007, Loss  0.878183, Average Loss  0.871309, Time  0.236996
2021-09-22 14:31:32.508894 : Epoch  6, Batch   1008, Loss  0.864099, Average Loss  0.871300, Time  0.236057
2021-09-22 14:31:35.111210 : Epoch  6, Batch   1009, Loss  0.861630, Average Loss  0.871286, Time  0.239532
2021-09-22 14:31:37.714822 : Epoch  6, Batch   1010, Loss  0.862197, Average Loss  0.871194, Time  0.234972
2021-09-22 14:31:40.318804 : Epoch  6, Batch   1011, Loss  0.857762, Average Loss  0.871142, Time  0.235065
2021-09-22 14:31:42.919327 : Epoch  6, Batch   1012, Loss  0.861215, Average Loss  0.871139, Time  0.234767
2021-09-22 14:31:45.524599 : Epoch  6, Batch   1013, Loss  0.876635, Average Loss  0.871146, Time  0.235817
2021-09-22 14:31:48.127333 : Epoch  6, Batch   1014, Loss  0.850890, Average Loss  0.870927, Time  0.236805
2021-09-22 14:31:50.729420 : Epoch  6, Batch   1015, Loss  0.886757, Average Loss  0.870980, Time  0.234848
2021-09-22 14:31:53.333786 : Epoch  6, Batch   1016, Loss  0.883321, Average Loss  0.870992, Time  0.237096
2021-09-22 14:31:55.922828 : Epoch  6, Batch   1017, Loss  0.858101, Average Loss  0.870850, Time  0.235967
2021-09-22 14:31:58.525953 : Epoch  6, Batch   1018, Loss  0.849263, Average Loss  0.870740, Time  0.241035
2021-09-22 14:32:01.118320 : Epoch  6, Batch   1019, Loss  0.872287, Average Loss  0.870732, Time  0.235830
2021-09-22 14:32:03.740826 : Epoch  6, Batch   1020, Loss  0.881925, Average Loss  0.870777, Time  0.239948
2021-09-22 14:36:07.072831 : CheckPoint: Validation Loss  0.00031588, Best Loss  0.00029393
2021-09-22 14:36:09.682878 : Epoch  6, Batch   1021, Loss  0.869068, Average Loss  0.870645, Time  0.235284
2021-09-22 14:36:12.283859 : Epoch  6, Batch   1022, Loss  0.864052, Average Loss  0.870700, Time  0.234721
2021-09-22 14:36:14.893805 : Epoch  6, Batch   1023, Loss  0.901049, Average Loss  0.870842, Time  0.236002
2021-09-22 14:36:17.504268 : Epoch  6, Batch   1024, Loss  0.872315, Average Loss  0.870792, Time  0.235451
2021-09-22 14:36:20.110751 : Epoch  6, Batch   1025, Loss  0.868812, Average Loss  0.870747, Time  0.234027
2021-09-22 14:36:22.714298 : Epoch  6, Batch   1026, Loss  0.878891, Average Loss  0.870757, Time  0.235314
2021-09-22 14:36:25.307895 : Epoch  6, Batch   1027, Loss  0.865026, Average Loss  0.870696, Time  0.234447
2021-09-22 14:36:27.902514 : Epoch  6, Batch   1028, Loss  0.859827, Average Loss  0.870619, Time  0.234445
2021-09-22 14:36:30.505065 : Epoch  6, Batch   1029, Loss  0.841803, Average Loss  0.870431, Time  0.234544
2021-09-22 14:36:33.109316 : Epoch  6, Batch   1030, Loss  0.874258, Average Loss  0.870365, Time  0.236284
2021-09-22 14:36:35.719217 : Epoch  6, Batch   1031, Loss  0.857597, Average Loss  0.870285, Time  0.245157
2021-09-22 14:36:38.316262 : Epoch  6, Batch   1032, Loss  0.873774, Average Loss  0.870312, Time  0.235148
2021-09-22 14:36:40.921863 : Epoch  6, Batch   1033, Loss  0.859075, Average Loss  0.870154, Time  0.237854
2021-09-22 14:36:43.522440 : Epoch  6, Batch   1034, Loss  0.875401, Average Loss  0.870184, Time  0.236078
2021-09-22 14:36:46.125231 : Epoch  6, Batch   1035, Loss  0.859121, Average Loss  0.870068, Time  0.235527
2021-09-22 14:36:48.723263 : Epoch  6, Batch   1036, Loss  0.861783, Average Loss  0.870017, Time  0.234401
2021-09-22 14:36:51.315912 : Epoch  6, Batch   1037, Loss  0.877509, Average Loss  0.870045, Time  0.235744
2021-09-22 14:36:53.915930 : Epoch  6, Batch   1038, Loss  0.870816, Average Loss  0.870000, Time  0.234816
2021-09-22 14:36:56.536071 : Epoch  6, Batch   1039, Loss  0.867685, Average Loss  0.870031, Time  0.234972
2021-09-22 14:36:59.138019 : Epoch  6, Batch   1040, Loss  0.850518, Average Loss  0.869929, Time  0.235111
2021-09-22 14:37:01.744323 : Epoch  6, Batch   1041, Loss  0.875575, Average Loss  0.869980, Time  0.234555
2021-09-22 14:37:04.384914 : Epoch  6, Batch   1042, Loss  0.868435, Average Loss  0.869952, Time  0.235964
2021-09-22 14:37:06.989251 : Epoch  6, Batch   1043, Loss  0.825430, Average Loss  0.869740, Time  0.235470
2021-09-22 14:37:09.588040 : Epoch  6, Batch   1044, Loss  0.877800, Average Loss  0.869858, Time  0.234537
2021-09-22 14:37:12.207284 : Epoch  6, Batch   1045, Loss  0.870665, Average Loss  0.869924, Time  0.242031
2021-09-22 14:37:14.824744 : Epoch  6, Batch   1046, Loss  0.862162, Average Loss  0.869934, Time  0.234971
2021-09-22 14:37:17.437733 : Epoch  6, Batch   1047, Loss  0.872756, Average Loss  0.869866, Time  0.235708
2021-09-22 14:37:20.036813 : Epoch  6, Batch   1048, Loss  0.868087, Average Loss  0.869944, Time  0.235378
2021-09-22 14:37:22.645968 : Epoch  6, Batch   1049, Loss  0.890481, Average Loss  0.870030, Time  0.235168
2021-09-22 14:37:25.241042 : Epoch  6, Batch   1050, Loss  0.875485, Average Loss  0.870023, Time  0.234203
2021-09-22 14:37:27.859702 : Epoch  6, Batch   1051, Loss  0.866759, Average Loss  0.869915, Time  0.238558
2021-09-22 14:37:30.461264 : Epoch  6, Batch   1052, Loss  0.878556, Average Loss  0.869986, Time  0.234115
2021-09-22 14:37:33.061193 : Epoch  6, Batch   1053, Loss  0.858413, Average Loss  0.869879, Time  0.235822
2021-09-22 14:37:35.662252 : Epoch  6, Batch   1054, Loss  0.853725, Average Loss  0.869683, Time  0.234892
2021-09-22 14:37:38.268844 : Epoch  6, Batch   1055, Loss  0.875684, Average Loss  0.869707, Time  0.236129
2021-09-22 14:37:40.881898 : Epoch  6, Batch   1056, Loss  0.875876, Average Loss  0.869705, Time  0.234681
2021-09-22 14:37:43.480369 : Epoch  6, Batch   1057, Loss  0.874704, Average Loss  0.869652, Time  0.234592
2021-09-22 14:37:46.067330 : Epoch  6, Batch   1058, Loss  0.858801, Average Loss  0.869611, Time  0.235444
2021-09-22 14:37:48.662289 : Epoch  6, Batch   1059, Loss  0.851890, Average Loss  0.869530, Time  0.234256
2021-09-22 14:37:51.255767 : Epoch  6, Batch   1060, Loss  0.862388, Average Loss  0.869587, Time  0.235000
2021-09-22 14:37:53.846259 : Epoch  6, Batch   1061, Loss  0.871328, Average Loss  0.869668, Time  0.235076
2021-09-22 14:37:56.441805 : Epoch  6, Batch   1062, Loss  0.864231, Average Loss  0.869735, Time  0.234426
2021-09-22 14:37:59.047856 : Epoch  6, Batch   1063, Loss  0.893612, Average Loss  0.869762, Time  0.237671
2021-09-22 14:38:01.656008 : Epoch  6, Batch   1064, Loss  0.864938, Average Loss  0.869795, Time  0.234672
2021-09-22 14:38:04.256282 : Epoch  6, Batch   1065, Loss  0.873367, Average Loss  0.869775, Time  0.234518
2021-09-22 14:38:06.856841 : Epoch  6, Batch   1066, Loss  0.846898, Average Loss  0.869600, Time  0.234770
2021-09-22 14:38:09.446691 : Epoch  6, Batch   1067, Loss  0.860686, Average Loss  0.869544, Time  0.235016
2021-09-22 14:38:12.039268 : Epoch  6, Batch   1068, Loss  0.891259, Average Loss  0.869635, Time  0.234558
2021-09-22 14:38:14.636234 : Epoch  6, Batch   1069, Loss  0.864068, Average Loss  0.869490, Time  0.235844
2021-09-22 14:38:17.237794 : Epoch  6, Batch   1070, Loss  0.882754, Average Loss  0.869532, Time  0.235346
2021-09-22 14:38:19.832803 : Epoch  6, Batch   1071, Loss  0.871647, Average Loss  0.869652, Time  0.235751
2021-09-22 14:38:22.417839 : Epoch  6, Batch   1072, Loss  0.872808, Average Loss  0.869673, Time  0.234367
2021-09-22 14:38:25.026083 : Epoch  6, Batch   1073, Loss  0.860771, Average Loss  0.869628, Time  0.235386
2021-09-22 14:38:27.637107 : Epoch  6, Batch   1074, Loss  0.905903, Average Loss  0.869824, Time  0.234664
2021-09-22 14:38:30.236032 : Epoch  6, Batch   1075, Loss  0.895889, Average Loss  0.869982, Time  0.234780
2021-09-22 14:38:32.832108 : Epoch  6, Batch   1076, Loss  0.872709, Average Loss  0.870006, Time  0.234426
2021-09-22 14:38:35.461390 : Epoch  6, Batch   1077, Loss  0.873137, Average Loss  0.869992, Time  0.234653
2021-09-22 14:38:38.069823 : Epoch  6, Batch   1078, Loss  0.857367, Average Loss  0.869906, Time  0.234623
2021-09-22 14:38:39.335818 : Epoch  6, Batch   1079, Loss  0.847557, Average Loss  0.869780, Time  0.137656
2021-09-22 14:38:41.943283 : Epoch  6, Batch   1080, Loss  0.877944, Average Loss  0.869800, Time  0.235475
2021-09-22 14:38:44.545994 : Epoch  6, Batch   1081, Loss  0.863292, Average Loss  0.869793, Time  0.234754
2021-09-22 14:38:47.146163 : Epoch  6, Batch   1082, Loss  0.898765, Average Loss  0.869858, Time  0.237248
2021-09-22 14:38:49.742816 : Epoch  6, Batch   1083, Loss  0.858332, Average Loss  0.869719, Time  0.234343
2021-09-22 14:38:52.336676 : Epoch  6, Batch   1084, Loss  0.879788, Average Loss  0.869775, Time  0.235669
2021-09-22 14:38:54.940294 : Epoch  6, Batch   1085, Loss  0.875415, Average Loss  0.869823, Time  0.235600
2021-09-22 14:38:57.561794 : Epoch  6, Batch   1086, Loss  0.864782, Average Loss  0.869822, Time  0.235379
2021-09-22 14:39:00.155504 : Epoch  6, Batch   1087, Loss  0.857173, Average Loss  0.869691, Time  0.234798
2021-09-22 14:39:02.745124 : Epoch  6, Batch   1088, Loss  0.881845, Average Loss  0.869692, Time  0.237557
2021-09-22 14:39:05.368070 : Epoch  6, Batch   1089, Loss  0.866954, Average Loss  0.869669, Time  0.235791
2021-09-22 14:39:07.960963 : Epoch  6, Batch   1090, Loss  0.895723, Average Loss  0.869815, Time  0.234528
2021-09-22 14:39:10.556948 : Epoch  6, Batch   1091, Loss  0.875340, Average Loss  0.869844, Time  0.234235
2021-09-22 14:39:13.164244 : Epoch  6, Batch   1092, Loss  0.855015, Average Loss  0.869687, Time  0.235378
2021-09-22 14:39:15.779936 : Epoch  6, Batch   1093, Loss  0.861297, Average Loss  0.869560, Time  0.235363
2021-09-22 14:39:18.386810 : Epoch  6, Batch   1094, Loss  0.848988, Average Loss  0.869487, Time  0.234467
2021-09-22 14:39:20.977952 : Epoch  6, Batch   1095, Loss  0.873399, Average Loss  0.869472, Time  0.235283
2021-09-22 14:39:23.569981 : Epoch  6, Batch   1096, Loss  0.858376, Average Loss  0.869419, Time  0.234832
2021-09-22 14:39:26.172842 : Epoch  6, Batch   1097, Loss  0.873846, Average Loss  0.869385, Time  0.234869
2021-09-22 14:39:28.773783 : Epoch  6, Batch   1098, Loss  0.866778, Average Loss  0.869288, Time  0.237656
2021-09-22 14:39:31.380931 : Epoch  6, Batch   1099, Loss  0.880936, Average Loss  0.869372, Time  0.235424
2021-09-22 14:39:33.979292 : Epoch  6, Batch   1100, Loss  0.858843, Average Loss  0.869431, Time  0.234377
2021-09-22 14:39:36.573785 : Epoch  6, Batch   1101, Loss  0.869302, Average Loss  0.869492, Time  0.235608
2021-09-22 14:39:39.167063 : Epoch  6, Batch   1102, Loss  0.876705, Average Loss  0.869553, Time  0.235062
2021-09-22 14:39:41.759308 : Epoch  6, Batch   1103, Loss  0.883087, Average Loss  0.869490, Time  0.234183
2021-09-22 14:39:44.359869 : Epoch  6, Batch   1104, Loss  0.867472, Average Loss  0.869451, Time  0.235378
2021-09-22 14:39:46.979859 : Epoch  6, Batch   1105, Loss  0.850683, Average Loss  0.869342, Time  0.234225
2021-09-22 14:39:49.580202 : Epoch  6, Batch   1106, Loss  0.869175, Average Loss  0.869334, Time  0.234998
2021-09-22 14:39:52.169850 : Epoch  6, Batch   1107, Loss  0.872649, Average Loss  0.869209, Time  0.236441
2021-09-22 14:39:54.770100 : Epoch  6, Batch   1108, Loss  0.880955, Average Loss  0.869167, Time  0.234480
2021-09-22 14:39:57.363824 : Epoch  6, Batch   1109, Loss  0.874850, Average Loss  0.869242, Time  0.234030
2021-09-22 14:39:59.958774 : Epoch  6, Batch   1110, Loss  0.873570, Average Loss  0.869299, Time  0.235349
2021-09-22 14:40:02.551359 : Epoch  6, Batch   1111, Loss  0.893815, Average Loss  0.869360, Time  0.235498
2021-09-22 14:40:05.155832 : Epoch  6, Batch   1112, Loss  0.874235, Average Loss  0.869397, Time  0.235535
2021-09-22 14:40:07.760920 : Epoch  6, Batch   1113, Loss  0.874504, Average Loss  0.869369, Time  0.237785
2021-09-22 14:40:10.368922 : Epoch  6, Batch   1114, Loss  0.873419, Average Loss  0.869262, Time  0.234729
2021-09-22 14:40:12.990948 : Epoch  6, Batch   1115, Loss  0.866863, Average Loss  0.869216, Time  0.234236
2021-09-22 14:40:15.599819 : Epoch  6, Batch   1116, Loss  0.865160, Average Loss  0.869186, Time  0.241957
2021-09-22 14:40:18.214353 : Epoch  6, Batch   1117, Loss  0.859816, Average Loss  0.869195, Time  0.239257
2021-09-22 14:40:20.850317 : Epoch  6, Batch   1118, Loss  0.863829, Average Loss  0.869065, Time  0.239107
2021-09-22 14:40:23.467884 : Epoch  6, Batch   1119, Loss  0.867956, Average Loss  0.868975, Time  0.234406
2021-09-22 14:40:26.086553 : Epoch  6, Batch   1120, Loss  0.866866, Average Loss  0.869045, Time  0.235662
2021-09-22 14:44:29.095679 : CheckPoint: Validation Loss  0.00031061, Best Loss  0.00029393
2021-09-22 14:44:31.685822 : Epoch  6, Batch   1121, Loss  0.875151, Average Loss  0.869014, Time  0.233801
2021-09-22 14:44:34.262690 : Epoch  6, Batch   1122, Loss  0.853429, Average Loss  0.869031, Time  0.233651
2021-09-22 14:44:36.875837 : Epoch  6, Batch   1123, Loss  0.859462, Average Loss  0.868887, Time  0.236099
2021-09-22 14:44:39.484953 : Epoch  6, Batch   1124, Loss  0.858757, Average Loss  0.868779, Time  0.233237
2021-09-22 14:44:42.087698 : Epoch  6, Batch   1125, Loss  0.893330, Average Loss  0.868875, Time  0.233039
2021-09-22 14:44:44.700943 : Epoch  6, Batch   1126, Loss  0.866761, Average Loss  0.868854, Time  0.233230
2021-09-22 14:44:47.461184 : Epoch  6, Batch   1127, Loss  0.869275, Average Loss  0.868807, Time  0.236536
2021-09-22 14:44:50.168681 : Epoch  6, Batch   1128, Loss  0.892691, Average Loss  0.868963, Time  0.234126
2021-09-22 14:44:52.756701 : Epoch  6, Batch   1129, Loss  0.871874, Average Loss  0.868992, Time  0.233014
2021-09-22 14:44:55.353704 : Epoch  6, Batch   1130, Loss  0.859592, Average Loss  0.868920, Time  0.233743
2021-09-22 14:44:57.947797 : Epoch  6, Batch   1131, Loss  0.878940, Average Loss  0.868982, Time  0.233060
2021-09-22 14:45:00.544662 : Epoch  6, Batch   1132, Loss  0.880291, Average Loss  0.869186, Time  0.233502
2021-09-22 14:45:03.142915 : Epoch  6, Batch   1133, Loss  0.860348, Average Loss  0.869143, Time  0.232788
2021-09-22 14:45:05.784945 : Epoch  6, Batch   1134, Loss  0.883357, Average Loss  0.869357, Time  0.233577
2021-09-22 14:45:08.373910 : Epoch  6, Batch   1135, Loss  0.860730, Average Loss  0.869317, Time  0.234126
2021-09-22 14:45:10.987678 : Epoch  6, Batch   1136, Loss  0.873919, Average Loss  0.869243, Time  0.232931
2021-09-22 14:45:13.571016 : Epoch  6, Batch   1137, Loss  0.872523, Average Loss  0.869303, Time  0.234457
2021-09-22 14:45:16.148069 : Epoch  6, Batch   1138, Loss  0.883396, Average Loss  0.869501, Time  0.234134
2021-09-22 14:45:18.742695 : Epoch  6, Batch   1139, Loss  0.876162, Average Loss  0.869424, Time  0.232965
2021-09-22 14:45:21.322362 : Epoch  6, Batch   1140, Loss  0.876997, Average Loss  0.869527, Time  0.232982
2021-09-22 14:45:23.904593 : Epoch  6, Batch   1141, Loss  0.861788, Average Loss  0.869491, Time  0.233379
2021-09-22 14:45:26.490907 : Epoch  6, Batch   1142, Loss  0.870458, Average Loss  0.869427, Time  0.233134
2021-09-22 14:45:29.080700 : Epoch  6, Batch   1143, Loss  0.867734, Average Loss  0.869526, Time  0.232779
2021-09-22 14:45:31.674882 : Epoch  6, Batch   1144, Loss  0.860710, Average Loss  0.869554, Time  0.233151
2021-09-22 14:45:34.259194 : Epoch  6, Batch   1145, Loss  0.877456, Average Loss  0.869613, Time  0.232861
2021-09-22 14:45:36.868660 : Epoch  6, Batch   1146, Loss  0.903654, Average Loss  0.869726, Time  0.233601
2021-09-22 14:45:39.455687 : Epoch  6, Batch   1147, Loss  0.856044, Average Loss  0.869712, Time  0.232897
2021-09-22 14:45:42.041943 : Epoch  6, Batch   1148, Loss  0.851836, Average Loss  0.869620, Time  0.233254
2021-09-22 14:45:44.621656 : Epoch  6, Batch   1149, Loss  0.865260, Average Loss  0.869654, Time  0.232654
2021-09-22 14:45:47.205671 : Epoch  6, Batch   1150, Loss  0.866375, Average Loss  0.869622, Time  0.233141
2021-09-22 14:45:49.783656 : Epoch  6, Batch   1151, Loss  0.869385, Average Loss  0.869586, Time  0.232907
2021-09-22 14:45:52.368927 : Epoch  6, Batch   1152, Loss  0.874980, Average Loss  0.869652, Time  0.233348
2021-09-22 14:45:54.951938 : Epoch  6, Batch   1153, Loss  0.865750, Average Loss  0.869621, Time  0.233116
2021-09-22 14:45:57.544871 : Epoch  6, Batch   1154, Loss  0.860097, Average Loss  0.869718, Time  0.233313
2021-09-22 14:46:00.117776 : Epoch  6, Batch   1155, Loss  0.889062, Average Loss  0.869789, Time  0.233105
2021-09-22 14:46:02.719770 : Epoch  6, Batch   1156, Loss  0.866852, Average Loss  0.869746, Time  0.233289
2021-09-22 14:46:05.309678 : Epoch  6, Batch   1157, Loss  0.851766, Average Loss  0.869739, Time  0.235072
2021-09-22 14:46:07.894990 : Epoch  6, Batch   1158, Loss  0.871211, Average Loss  0.869728, Time  0.233380
2021-09-22 14:46:10.484682 : Epoch  6, Batch   1159, Loss  0.859399, Average Loss  0.869731, Time  0.234322
2021-09-22 14:46:13.105360 : Epoch  6, Batch   1160, Loss  0.857480, Average Loss  0.869572, Time  0.234823
2021-09-22 14:46:15.700960 : Epoch  6, Batch   1161, Loss  0.870036, Average Loss  0.869540, Time  0.233653
2021-09-22 14:46:18.312687 : Epoch  6, Batch   1162, Loss  0.883782, Average Loss  0.869615, Time  0.232963
2021-09-22 14:46:20.923870 : Epoch  6, Batch   1163, Loss  0.870099, Average Loss  0.869637, Time  0.258870
2021-09-22 14:46:23.510546 : Epoch  6, Batch   1164, Loss  0.873572, Average Loss  0.869703, Time  0.234035
2021-09-22 14:46:26.169542 : Epoch  6, Batch   1165, Loss  0.876884, Average Loss  0.869683, Time  0.234781
2021-09-22 14:46:28.784622 : Epoch  6, Batch   1166, Loss  0.855026, Average Loss  0.869509, Time  0.236899
2021-09-22 14:46:31.410404 : Epoch  6, Batch   1167, Loss  0.874972, Average Loss  0.869443, Time  0.232727
2021-09-22 14:46:34.049063 : Epoch  6, Batch   1168, Loss  0.876973, Average Loss  0.869445, Time  0.233163
2021-09-22 14:46:36.709030 : Epoch  6, Batch   1169, Loss  0.851886, Average Loss  0.869450, Time  0.234706
2021-09-22 14:46:39.361692 : Epoch  6, Batch   1170, Loss  0.885077, Average Loss  0.869515, Time  0.233895
2021-09-22 14:46:41.953362 : Epoch  6, Batch   1171, Loss  0.893429, Average Loss  0.869627, Time  0.234088
2021-09-22 14:46:44.560728 : Epoch  6, Batch   1172, Loss  0.869041, Average Loss  0.869590, Time  0.235065
2021-09-22 14:46:47.161785 : Epoch  6, Batch   1173, Loss  0.857848, Average Loss  0.869522, Time  0.232819
2021-09-22 14:46:49.832017 : Epoch  6, Batch   1174, Loss  0.875102, Average Loss  0.869541, Time  0.235984
2021-09-22 14:46:52.503811 : Epoch  6, Batch   1175, Loss  0.857216, Average Loss  0.869446, Time  0.233154
2021-09-22 14:46:55.167663 : Epoch  6, Batch   1176, Loss  0.887462, Average Loss  0.869489, Time  0.236177
2021-09-22 14:46:57.839049 : Epoch  6, Batch   1177, Loss  0.873777, Average Loss  0.869547, Time  0.235493
2021-09-22 14:47:00.422681 : Epoch  6, Batch   1178, Loss  0.866517, Average Loss  0.869579, Time  0.233476
2021-09-22 14:47:03.010973 : Epoch  6, Batch   1179, Loss  0.856569, Average Loss  0.869599, Time  0.235117
2021-09-22 14:47:05.600762 : Epoch  6, Batch   1180, Loss  0.880240, Average Loss  0.869769, Time  0.233520
2021-09-22 14:47:08.182417 : Epoch  6, Batch   1181, Loss  0.875920, Average Loss  0.869819, Time  0.232925
2021-09-22 14:47:10.850817 : Epoch  6, Batch   1182, Loss  0.866048, Average Loss  0.869850, Time  0.233204
2021-09-22 14:47:13.442672 : Epoch  6, Batch   1183, Loss  0.843043, Average Loss  0.869882, Time  0.233116
2021-09-22 14:47:16.041770 : Epoch  6, Batch   1184, Loss  0.873942, Average Loss  0.869872, Time  0.234453
2021-09-22 14:47:18.634809 : Epoch  6, Batch   1185, Loss  0.866136, Average Loss  0.869918, Time  0.237489
2021-09-22 14:47:21.227712 : Epoch  6, Batch   1186, Loss  0.877851, Average Loss  0.869870, Time  0.233504
2021-09-22 14:47:23.819703 : Epoch  6, Batch   1187, Loss  0.861733, Average Loss  0.869781, Time  0.233441
2021-09-22 14:47:26.400648 : Epoch  6, Batch   1188, Loss  0.848809, Average Loss  0.869706, Time  0.233397
2021-09-22 14:47:29.070838 : Epoch  6, Batch   1189, Loss  0.861008, Average Loss  0.869539, Time  0.234970
2021-09-22 14:47:31.732754 : Epoch  6, Batch   1190, Loss  0.851856, Average Loss  0.869323, Time  0.236193
2021-09-22 14:47:34.401685 : Epoch  6, Batch   1191, Loss  0.867255, Average Loss  0.869351, Time  0.234206
2021-09-22 14:47:36.998085 : Epoch  6, Batch   1192, Loss  0.867639, Average Loss  0.869255, Time  0.234165
2021-09-22 14:47:39.631975 : Epoch  6, Batch   1193, Loss  0.869722, Average Loss  0.869314, Time  0.233792
2021-09-22 14:47:42.214930 : Epoch  6, Batch   1194, Loss  0.858811, Average Loss  0.869249, Time  0.233174
2021-09-22 14:47:44.785585 : Epoch  6, Batch   1195, Loss  0.871804, Average Loss  0.869231, Time  0.232961
2021-09-22 14:47:47.410953 : Epoch  6, Batch   1196, Loss  0.858253, Average Loss  0.869220, Time  0.232998
2021-09-22 14:47:50.020771 : Epoch  6, Batch   1197, Loss  0.865349, Average Loss  0.869160, Time  0.234899
2021-09-22 14:47:52.666791 : Epoch  6, Batch   1198, Loss  0.871781, Average Loss  0.869211, Time  0.233354
2021-09-22 14:47:55.264955 : Epoch  6, Batch   1199, Loss  0.863914, Average Loss  0.869281, Time  0.232996
2021-09-22 14:47:57.895766 : Epoch  6, Batch   1200, Loss  0.856281, Average Loss  0.869156, Time  0.233042
2021-09-22 14:48:00.478929 : Epoch  6, Batch   1201, Loss  0.882572, Average Loss  0.869161, Time  0.232991
2021-09-22 14:48:03.069699 : Epoch  6, Batch   1202, Loss  0.854863, Average Loss  0.869137, Time  0.233042
2021-09-22 14:48:05.653401 : Epoch  6, Batch   1203, Loss  0.872556, Average Loss  0.869167, Time  0.233366
2021-09-22 14:48:08.246832 : Epoch  6, Batch   1204, Loss  0.882316, Average Loss  0.869332, Time  0.233529
2021-09-22 14:48:10.832848 : Epoch  6, Batch   1205, Loss  0.884285, Average Loss  0.869396, Time  0.234235
2021-09-22 14:48:13.495427 : Epoch  6, Batch   1206, Loss  0.888260, Average Loss  0.869384, Time  0.233495
2021-09-22 14:48:16.082018 : Epoch  6, Batch   1207, Loss  0.873697, Average Loss  0.869361, Time  0.233417
2021-09-22 14:48:18.787764 : Epoch  6, Batch   1208, Loss  0.880021, Average Loss  0.869441, Time  0.233397
2021-09-22 14:48:21.418390 : Epoch  6, Batch   1209, Loss  0.863191, Average Loss  0.869449, Time  0.233495
2021-09-22 14:48:24.006692 : Epoch  6, Batch   1210, Loss  0.877445, Average Loss  0.869525, Time  0.238699
2021-09-22 14:48:26.608013 : Epoch  6, Batch   1211, Loss  0.852495, Average Loss  0.869499, Time  0.233457
2021-09-22 14:48:29.319007 : Epoch  6, Batch   1212, Loss  0.894844, Average Loss  0.869667, Time  0.233564
2021-09-22 14:48:31.997851 : Epoch  6, Batch   1213, Loss  0.873375, Average Loss  0.869651, Time  0.235677
2021-09-22 14:48:34.590816 : Epoch  6, Batch   1214, Loss  0.860812, Average Loss  0.869700, Time  0.233468
2021-09-22 14:48:37.274573 : Epoch  6, Batch   1215, Loss  0.888239, Average Loss  0.869708, Time  0.235205
2021-09-22 14:48:39.877056 : Epoch  6, Batch   1216, Loss  0.853586, Average Loss  0.869559, Time  0.234906
2021-09-22 14:48:42.512053 : Epoch  6, Batch   1217, Loss  0.868838, Average Loss  0.869613, Time  0.239771
2021-09-22 14:48:45.118981 : Epoch  6, Batch   1218, Loss  0.857662, Average Loss  0.869655, Time  0.233619
2021-09-22 14:48:47.797694 : Epoch  6, Batch   1219, Loss  0.853665, Average Loss  0.869562, Time  0.233540
2021-09-22 14:48:50.358670 : Epoch  6, Batch   1220, Loss  0.888776, Average Loss  0.869596, Time  0.234550
2021-09-22 14:52:52.814672 : CheckPoint: Validation Loss  0.00030536, Best Loss  0.00029393
2021-09-22 14:52:55.416061 : Epoch  6, Batch   1221, Loss  0.856361, Average Loss  0.869532, Time  0.265805
2021-09-22 14:52:58.019437 : Epoch  6, Batch   1222, Loss  0.859951, Average Loss  0.869512, Time  0.245653
2021-09-22 14:53:00.613112 : Epoch  6, Batch   1223, Loss  0.865233, Average Loss  0.869333, Time  0.233460
2021-09-22 14:53:03.213145 : Epoch  6, Batch   1224, Loss  0.857209, Average Loss  0.869257, Time  0.233968
2021-09-22 14:53:05.807248 : Epoch  6, Batch   1225, Loss  0.851529, Average Loss  0.869171, Time  0.234493
2021-09-22 14:53:08.393575 : Epoch  6, Batch   1226, Loss  0.867678, Average Loss  0.869115, Time  0.234134
2021-09-22 14:53:11.013995 : Epoch  6, Batch   1227, Loss  0.849738, Average Loss  0.869038, Time  0.237583
2021-09-22 14:53:13.612911 : Epoch  6, Batch   1228, Loss  0.870968, Average Loss  0.869094, Time  0.236115
2021-09-22 14:53:16.214862 : Epoch  6, Batch   1229, Loss  0.864871, Average Loss  0.869209, Time  0.234955
2021-09-22 14:53:18.859499 : Epoch  6, Batch   1230, Loss  0.862973, Average Loss  0.869153, Time  0.235511
2021-09-22 14:53:21.540855 : Epoch  6, Batch   1231, Loss  0.871205, Average Loss  0.869221, Time  0.237532
2021-09-22 14:53:24.187184 : Epoch  6, Batch   1232, Loss  0.868464, Average Loss  0.869194, Time  0.235203
2021-09-22 14:53:26.803432 : Epoch  6, Batch   1233, Loss  0.866303, Average Loss  0.869231, Time  0.235643
2021-09-22 14:53:29.393498 : Epoch  6, Batch   1234, Loss  0.861271, Average Loss  0.869160, Time  0.235921
2021-09-22 14:53:32.148920 : Epoch  6, Batch   1235, Loss  0.855005, Average Loss  0.869139, Time  0.234584
2021-09-22 14:53:34.745997 : Epoch  6, Batch   1236, Loss  0.856555, Average Loss  0.869113, Time  0.235065
2021-09-22 14:53:37.334707 : Epoch  6, Batch   1237, Loss  0.856693, Average Loss  0.869009, Time  0.233203
2021-09-22 14:53:39.930248 : Epoch  6, Batch   1238, Loss  0.871340, Average Loss  0.869012, Time  0.234504
2021-09-22 14:53:42.527912 : Epoch  6, Batch   1239, Loss  0.858347, Average Loss  0.868965, Time  0.234241
2021-09-22 14:53:45.133776 : Epoch  6, Batch   1240, Loss  0.880158, Average Loss  0.869113, Time  0.235174
2021-09-22 14:53:47.737469 : Epoch  6, Batch   1241, Loss  0.881801, Average Loss  0.869144, Time  0.233954
2021-09-22 14:53:51.064903 : Epoch  6, Batch   1242, Loss  0.877776, Average Loss  0.869191, Time  0.264249
2021-09-22 14:53:53.669776 : Epoch  6, Batch   1243, Loss  0.885638, Average Loss  0.869492, Time  0.238575
2021-09-22 14:53:56.259937 : Epoch  6, Batch   1244, Loss  0.860528, Average Loss  0.869406, Time  0.233595
2021-09-22 14:53:58.865925 : Epoch  6, Batch   1245, Loss  0.881989, Average Loss  0.869462, Time  0.232890
2021-09-22 14:54:01.460938 : Epoch  6, Batch   1246, Loss  0.886009, Average Loss  0.869582, Time  0.233678
2021-09-22 14:54:04.041605 : Epoch  6, Batch   1247, Loss  0.858976, Average Loss  0.869513, Time  0.233393
2021-09-22 14:54:06.634173 : Epoch  6, Batch   1248, Loss  0.851552, Average Loss  0.869430, Time  0.233343
2021-09-22 14:54:09.214031 : Epoch  6, Batch   1249, Loss  0.846018, Average Loss  0.869208, Time  0.233283
2021-09-22 14:54:11.803700 : Epoch  6, Batch   1250, Loss  0.884116, Average Loss  0.869251, Time  0.233257
2021-09-22 14:54:14.388908 : Epoch  6, Batch   1251, Loss  0.843386, Average Loss  0.869134, Time  0.233263
2021-09-22 14:54:16.997901 : Epoch  6, Batch   1252, Loss  0.877741, Average Loss  0.869130, Time  0.233272
2021-09-22 14:54:19.584060 : Epoch  6, Batch   1253, Loss  0.853989, Average Loss  0.869108, Time  0.233903
2021-09-22 14:54:22.178691 : Epoch  6, Batch   1254, Loss  0.882832, Average Loss  0.869253, Time  0.233868
2021-09-22 14:54:24.790976 : Epoch  6, Batch   1255, Loss  0.866094, Average Loss  0.869205, Time  0.233907
2021-09-22 14:54:27.401682 : Epoch  6, Batch   1256, Loss  0.869056, Average Loss  0.869171, Time  0.233530
2021-09-22 14:54:30.003961 : Epoch  6, Batch   1257, Loss  0.850414, Average Loss  0.869050, Time  0.233196
2021-09-22 14:54:32.647312 : Epoch  6, Batch   1258, Loss  0.870190, Average Loss  0.869107, Time  0.234318
2021-09-22 14:54:35.250769 : Epoch  6, Batch   1259, Loss  0.881427, Average Loss  0.869254, Time  0.233104
2021-09-22 14:54:37.847665 : Epoch  6, Batch   1260, Loss  0.874905, Average Loss  0.869317, Time  0.233797
2021-09-22 14:54:40.457148 : Epoch  6, Batch   1261, Loss  0.868413, Average Loss  0.869302, Time  0.233370
2021-09-22 14:54:43.046007 : Epoch  6, Batch   1262, Loss  0.876201, Average Loss  0.869362, Time  0.233439
2021-09-22 14:54:45.660683 : Epoch  6, Batch   1263, Loss  0.892592, Average Loss  0.869357, Time  0.233539
2021-09-22 14:54:48.254912 : Epoch  6, Batch   1264, Loss  0.858679, Average Loss  0.869326, Time  0.233215
2021-09-22 14:54:50.855997 : Epoch  6, Batch   1265, Loss  0.867631, Average Loss  0.869297, Time  0.233428
2021-09-22 14:54:53.475205 : Epoch  6, Batch   1266, Loss  0.843108, Average Loss  0.869278, Time  0.233139
2021-09-22 14:54:56.052922 : Epoch  6, Batch   1267, Loss  0.852650, Average Loss  0.869238, Time  0.232948
2021-09-22 14:54:58.636921 : Epoch  6, Batch   1268, Loss  0.887030, Average Loss  0.869217, Time  0.233129
2021-09-22 14:55:01.222872 : Epoch  6, Batch   1269, Loss  0.889635, Average Loss  0.869345, Time  0.233265
2021-09-22 14:55:03.813982 : Epoch  6, Batch   1270, Loss  0.876562, Average Loss  0.869314, Time  0.233532
2021-09-22 14:55:06.428465 : Epoch  6, Batch   1271, Loss  0.874284, Average Loss  0.869327, Time  0.234334
2021-09-22 14:55:09.021970 : Epoch  6, Batch   1272, Loss  0.874986, Average Loss  0.869338, Time  0.234984
2021-09-22 14:55:11.613676 : Epoch  6, Batch   1273, Loss  0.869481, Average Loss  0.869381, Time  0.235660
2021-09-22 14:55:14.261428 : Epoch  6, Batch   1274, Loss  0.872377, Average Loss  0.869214, Time  0.237747
2021-09-22 14:55:16.873269 : Epoch  6, Batch   1275, Loss  0.842509, Average Loss  0.868947, Time  0.235683
2021-09-22 14:55:19.492882 : Epoch  6, Batch   1276, Loss  0.862043, Average Loss  0.868894, Time  0.234639
2021-09-22 14:55:22.115945 : Epoch  6, Batch   1277, Loss  0.874327, Average Loss  0.868900, Time  0.235682
2021-09-22 14:55:24.756316 : Epoch  6, Batch   1278, Loss  0.871999, Average Loss  0.868973, Time  0.234909
2021-09-22 14:55:27.356838 : Epoch  6, Batch   1279, Loss  0.864795, Average Loss  0.869059, Time  0.235033
2021-09-22 14:55:29.971938 : Epoch  6, Batch   1280, Loss  0.864112, Average Loss  0.868990, Time  0.234746
2021-09-22 14:55:32.586035 : Epoch  6, Batch   1281, Loss  0.894482, Average Loss  0.869146, Time  0.236009
2021-09-22 14:55:35.205255 : Epoch  6, Batch   1282, Loss  0.859822, Average Loss  0.868951, Time  0.236259
2021-09-22 14:55:37.822946 : Epoch  6, Batch   1283, Loss  0.859115, Average Loss  0.868955, Time  0.234425
2021-09-22 14:55:40.434772 : Epoch  6, Batch   1284, Loss  0.858263, Average Loss  0.868847, Time  0.234657
2021-09-22 14:55:43.035501 : Epoch  6, Batch   1285, Loss  0.884799, Average Loss  0.868894, Time  0.233846
2021-09-22 14:55:45.670653 : Epoch  6, Batch   1286, Loss  0.897095, Average Loss  0.869056, Time  0.235069
2021-09-22 14:55:48.310234 : Epoch  6, Batch   1287, Loss  0.873643, Average Loss  0.869138, Time  0.237712
2021-09-22 14:55:51.359876 : Epoch  6, Batch   1288, Loss  0.867703, Average Loss  0.869067, Time  0.268269
2021-09-22 14:55:53.992918 : Epoch  6, Batch   1289, Loss  0.873214, Average Loss  0.869099, Time  0.253898
2021-09-22 14:55:56.612536 : Epoch  6, Batch   1290, Loss  0.850546, Average Loss  0.868873, Time  0.238146
2021-09-22 14:55:59.215885 : Epoch  6, Batch   1291, Loss  0.865933, Average Loss  0.868826, Time  0.234800
2021-09-22 14:56:01.824850 : Epoch  6, Batch   1292, Loss  0.850774, Average Loss  0.868805, Time  0.235476
2021-09-22 14:56:04.453773 : Epoch  6, Batch   1293, Loss  0.863702, Average Loss  0.868817, Time  0.235313
2021-09-22 14:56:07.061021 : Epoch  6, Batch   1294, Loss  0.875199, Average Loss  0.868948, Time  0.234975
2021-09-22 14:56:09.658754 : Epoch  6, Batch   1295, Loss  0.867488, Average Loss  0.868918, Time  0.235412
2021-09-22 14:56:12.240891 : Epoch  6, Batch   1296, Loss  0.874304, Average Loss  0.868998, Time  0.235304
2021-09-22 14:56:14.862771 : Epoch  6, Batch   1297, Loss  0.868733, Average Loss  0.868972, Time  0.235293
2021-09-22 14:56:17.463993 : Epoch  6, Batch   1298, Loss  0.858512, Average Loss  0.868931, Time  0.235516
2021-09-22 14:56:20.079023 : Epoch  6, Batch   1299, Loss  0.874566, Average Loss  0.868899, Time  0.234556
2021-09-22 14:56:22.686254 : Epoch  6, Batch   1300, Loss  0.864403, Average Loss  0.868927, Time  0.236672
2021-09-22 14:56:25.291141 : Epoch  6, Batch   1301, Loss  0.854836, Average Loss  0.868854, Time  0.236917
2021-09-22 14:56:27.927197 : Epoch  6, Batch   1302, Loss  0.860452, Average Loss  0.868773, Time  0.236219
2021-09-22 14:56:30.545204 : Epoch  6, Batch   1303, Loss  0.862736, Average Loss  0.868671, Time  0.234854
2021-09-22 14:56:33.148212 : Epoch  6, Batch   1304, Loss  0.859310, Average Loss  0.868631, Time  0.235086
2021-09-22 14:56:35.755673 : Epoch  6, Batch   1305, Loss  0.872108, Average Loss  0.868738, Time  0.235185
2021-09-22 14:56:38.390474 : Epoch  6, Batch   1306, Loss  0.875906, Average Loss  0.868771, Time  0.236172
2021-09-22 14:56:40.987666 : Epoch  6, Batch   1307, Loss  0.874062, Average Loss  0.868778, Time  0.233420
2021-09-22 14:56:43.591576 : Epoch  6, Batch   1308, Loss  0.864870, Average Loss  0.868698, Time  0.234187
2021-09-22 14:56:46.252343 : Epoch  6, Batch   1309, Loss  0.892627, Average Loss  0.868787, Time  0.234893
2021-09-22 14:56:48.881313 : Epoch  6, Batch   1310, Loss  0.871885, Average Loss  0.868778, Time  0.234526
2021-09-22 14:56:51.775771 : Epoch  6, Batch   1311, Loss  0.872914, Average Loss  0.868674, Time  0.265940
2021-09-22 14:56:54.404291 : Epoch  6, Batch   1312, Loss  0.856980, Average Loss  0.868588, Time  0.253510
2021-09-22 14:56:57.015345 : Epoch  6, Batch   1313, Loss  0.887277, Average Loss  0.868652, Time  0.238060
2021-09-22 14:56:59.652883 : Epoch  6, Batch   1314, Loss  0.867021, Average Loss  0.868620, Time  0.234426
2021-09-22 14:57:02.276625 : Epoch  6, Batch   1315, Loss  0.851074, Average Loss  0.868541, Time  0.235919
2021-09-22 14:57:04.893276 : Epoch  6, Batch   1316, Loss  0.888639, Average Loss  0.868658, Time  0.235231
2021-09-22 14:57:07.497282 : Epoch  6, Batch   1317, Loss  0.876231, Average Loss  0.868740, Time  0.234782
2021-09-22 14:57:10.106807 : Epoch  6, Batch   1318, Loss  0.867329, Average Loss  0.868758, Time  0.235420
2021-09-22 14:57:12.719539 : Epoch  6, Batch   1319, Loss  0.884582, Average Loss  0.868841, Time  0.236162
2021-09-22 14:57:15.356128 : Epoch  6, Batch   1320, Loss  0.864309, Average Loss  0.868828, Time  0.235072
2021-09-22 15:01:18.661336 : CheckPoint: Validation Loss  0.00030141, Best Loss  0.00029393
2021-09-22 15:01:21.264450 : Epoch  6, Batch   1321, Loss  0.858731, Average Loss  0.868746, Time  0.235721
2021-09-22 15:01:23.856965 : Epoch  6, Batch   1322, Loss  0.858858, Average Loss  0.868773, Time  0.235304
2021-09-22 15:01:26.474303 : Epoch  6, Batch   1323, Loss  0.852252, Average Loss  0.868737, Time  0.234943
2021-09-22 15:01:29.083268 : Epoch  6, Batch   1324, Loss  0.865367, Average Loss  0.868770, Time  0.235123
2021-09-22 15:01:31.682777 : Epoch  6, Batch   1325, Loss  0.857673, Average Loss  0.868592, Time  0.234664
2021-09-22 15:01:34.285923 : Epoch  6, Batch   1326, Loss  0.859987, Average Loss  0.868558, Time  0.235512
2021-09-22 15:01:36.900178 : Epoch  6, Batch   1327, Loss  0.854640, Average Loss  0.868485, Time  0.235730
2021-09-22 15:01:39.500297 : Epoch  6, Batch   1328, Loss  0.862842, Average Loss  0.868335, Time  0.234833
2021-09-22 15:01:42.101485 : Epoch  6, Batch   1329, Loss  0.881351, Average Loss  0.868383, Time  0.234317
2021-09-22 15:01:44.685785 : Epoch  6, Batch   1330, Loss  0.874512, Average Loss  0.868457, Time  0.233454
2021-09-22 15:01:47.265016 : Epoch  6, Batch   1331, Loss  0.859852, Average Loss  0.868362, Time  0.234222
2021-09-22 15:01:49.842188 : Epoch  6, Batch   1332, Loss  0.873600, Average Loss  0.868329, Time  0.233408
2021-09-22 15:01:52.430958 : Epoch  6, Batch   1333, Loss  0.879396, Average Loss  0.868424, Time  0.233737
2021-09-22 15:01:55.009236 : Epoch  6, Batch   1334, Loss  0.884440, Average Loss  0.868429, Time  0.233341
2021-09-22 15:01:57.595168 : Epoch  6, Batch   1335, Loss  0.856445, Average Loss  0.868408, Time  0.233621
2021-09-22 15:02:00.181188 : Epoch  6, Batch   1336, Loss  0.861171, Average Loss  0.868344, Time  0.233193
2021-09-22 15:02:02.778685 : Epoch  6, Batch   1337, Loss  0.866416, Average Loss  0.868313, Time  0.233072
2021-09-22 15:02:05.398864 : Epoch  6, Batch   1338, Loss  0.883539, Average Loss  0.868314, Time  0.233725
2021-09-22 15:02:07.987726 : Epoch  6, Batch   1339, Loss  0.863589, Average Loss  0.868251, Time  0.234865
2021-09-22 15:02:10.591237 : Epoch  6, Batch   1340, Loss  0.874195, Average Loss  0.868237, Time  0.233487
2021-09-22 15:02:13.195955 : Epoch  6, Batch   1341, Loss  0.869264, Average Loss  0.868275, Time  0.233915
2021-09-22 15:02:15.785990 : Epoch  6, Batch   1342, Loss  0.862608, Average Loss  0.868235, Time  0.233290
2021-09-22 15:02:18.355191 : Epoch  6, Batch   1343, Loss  0.852036, Average Loss  0.868157, Time  0.232796
2021-09-22 15:02:20.953933 : Epoch  6, Batch   1344, Loss  0.889526, Average Loss  0.868301, Time  0.233407
2021-09-22 15:02:23.544843 : Epoch  6, Batch   1345, Loss  0.864284, Average Loss  0.868235, Time  0.233744
2021-09-22 15:02:26.147980 : Epoch  6, Batch   1346, Loss  0.887711, Average Loss  0.868155, Time  0.233186
2021-09-22 15:02:28.741777 : Epoch  6, Batch   1347, Loss  0.860344, Average Loss  0.868177, Time  0.233225
2021-09-22 15:02:31.338927 : Epoch  6, Batch   1348, Loss  0.878712, Average Loss  0.868311, Time  0.233704
2021-09-22 15:02:33.926906 : Epoch  6, Batch   1349, Loss  0.876380, Average Loss  0.868367, Time  0.233664
2021-09-22 15:02:36.516764 : Epoch  6, Batch   1350, Loss  0.867137, Average Loss  0.868371, Time  0.233338
2021-09-22 15:02:39.108655 : Epoch  6, Batch   1351, Loss  0.864001, Average Loss  0.868344, Time  0.233077
2021-09-22 15:02:41.694760 : Epoch  6, Batch   1352, Loss  0.861220, Average Loss  0.868275, Time  0.233278
2021-09-22 15:02:44.286037 : Epoch  6, Batch   1353, Loss  0.883230, Average Loss  0.868362, Time  0.233868
2021-09-22 15:02:46.873703 : Epoch  6, Batch   1354, Loss  0.849582, Average Loss  0.868310, Time  0.233515
2021-09-22 15:02:49.476174 : Epoch  6, Batch   1355, Loss  0.872125, Average Loss  0.868225, Time  0.233153
2021-09-22 15:02:52.057966 : Epoch  6, Batch   1356, Loss  0.859687, Average Loss  0.868189, Time  0.233688
2021-09-22 15:02:54.644857 : Epoch  6, Batch   1357, Loss  0.871230, Average Loss  0.868287, Time  0.233302
2021-09-22 15:02:57.258166 : Epoch  6, Batch   1358, Loss  0.868444, Average Loss  0.868273, Time  0.233249
2021-09-22 15:02:59.842856 : Epoch  6, Batch   1359, Loss  0.869757, Average Loss  0.868325, Time  0.232968
2021-09-22 15:03:02.446714 : Epoch  6, Batch   1360, Loss  0.879553, Average Loss  0.868435, Time  0.233508
2021-09-22 15:03:05.059467 : Epoch  6, Batch   1361, Loss  0.861390, Average Loss  0.868392, Time  0.233935
2021-09-22 15:03:07.659800 : Epoch  6, Batch   1362, Loss  0.849054, Average Loss  0.868218, Time  0.235316
2021-09-22 15:03:10.259243 : Epoch  6, Batch   1363, Loss  0.849267, Average Loss  0.868114, Time  0.233821
2021-09-22 15:03:12.850159 : Epoch  6, Batch   1364, Loss  0.862305, Average Loss  0.868058, Time  0.234764
2021-09-22 15:03:15.447172 : Epoch  6, Batch   1365, Loss  0.880660, Average Loss  0.868076, Time  0.234963
2021-09-22 15:03:18.040843 : Epoch  6, Batch   1366, Loss  0.880249, Average Loss  0.868203, Time  0.234143
2021-09-22 15:03:20.658949 : Epoch  6, Batch   1367, Loss  0.882419, Average Loss  0.868240, Time  0.234253
2021-09-22 15:03:23.305725 : Epoch  6, Batch   1368, Loss  0.854861, Average Loss  0.868129, Time  0.234740
2021-09-22 15:03:25.903170 : Epoch  6, Batch   1369, Loss  0.886870, Average Loss  0.868304, Time  0.233867
2021-09-22 15:03:28.503789 : Epoch  6, Batch   1370, Loss  0.866402, Average Loss  0.868211, Time  0.234452
2021-09-22 15:03:31.125227 : Epoch  6, Batch   1371, Loss  0.871570, Average Loss  0.868102, Time  0.235386
2021-09-22 15:03:33.756281 : Epoch  6, Batch   1372, Loss  0.873814, Average Loss  0.868125, Time  0.234832
2021-09-22 15:03:36.349375 : Epoch  6, Batch   1373, Loss  0.859144, Average Loss  0.868132, Time  0.234112
2021-09-22 15:03:38.975085 : Epoch  6, Batch   1374, Loss  0.857144, Average Loss  0.868042, Time  0.235389
2021-09-22 15:03:41.580137 : Epoch  6, Batch   1375, Loss  0.856903, Average Loss  0.868041, Time  0.234399
2021-09-22 15:03:44.180410 : Epoch  6, Batch   1376, Loss  0.867723, Average Loss  0.867942, Time  0.234352
2021-09-22 15:03:46.809707 : Epoch  6, Batch   1377, Loss  0.866573, Average Loss  0.867906, Time  0.234513
2021-09-22 15:03:49.401803 : Epoch  6, Batch   1378, Loss  0.881666, Average Loss  0.867982, Time  0.234853
2021-09-22 15:03:51.980163 : Epoch  6, Batch   1379, Loss  0.858875, Average Loss  0.867993, Time  0.234410
2021-09-22 15:03:54.628084 : Epoch  6, Batch   1380, Loss  0.868322, Average Loss  0.867933, Time  0.235271
2021-09-22 15:03:57.217125 : Epoch  6, Batch   1381, Loss  0.865501, Average Loss  0.867881, Time  0.236005
2021-09-22 15:03:59.811729 : Epoch  6, Batch   1382, Loss  0.875638, Average Loss  0.867929, Time  0.235357
2021-09-22 15:04:02.445885 : Epoch  6, Batch   1383, Loss  0.850922, Average Loss  0.867969, Time  0.234953
2021-09-22 15:04:05.060787 : Epoch  6, Batch   1384, Loss  0.870372, Average Loss  0.867951, Time  0.234705
2021-09-22 15:04:07.706128 : Epoch  6, Batch   1385, Loss  0.839954, Average Loss  0.867820, Time  0.234579
2021-09-22 15:04:10.340030 : Epoch  6, Batch   1386, Loss  0.874178, Average Loss  0.867802, Time  0.236749
2021-09-22 15:04:12.973290 : Epoch  6, Batch   1387, Loss  0.879414, Average Loss  0.867890, Time  0.234984
2021-09-22 15:04:15.571436 : Epoch  6, Batch   1388, Loss  0.849644, Average Loss  0.867894, Time  0.235359
2021-09-22 15:04:18.205798 : Epoch  6, Batch   1389, Loss  0.866977, Average Loss  0.867924, Time  0.234846
2021-09-22 15:04:20.843297 : Epoch  6, Batch   1390, Loss  0.870320, Average Loss  0.868016, Time  0.236299
2021-09-22 15:04:23.474841 : Epoch  6, Batch   1391, Loss  0.854465, Average Loss  0.867952, Time  0.235786
2021-09-22 15:04:26.145218 : Epoch  6, Batch   1392, Loss  0.877590, Average Loss  0.868002, Time  0.235109
2021-09-22 15:04:28.763233 : Epoch  6, Batch   1393, Loss  0.862268, Average Loss  0.867965, Time  0.234424
2021-09-22 15:04:31.370949 : Epoch  6, Batch   1394, Loss  0.885969, Average Loss  0.868101, Time  0.235009
2021-09-22 15:04:33.971835 : Epoch  6, Batch   1395, Loss  0.885472, Average Loss  0.868169, Time  0.234451
2021-09-22 15:04:36.573770 : Epoch  6, Batch   1396, Loss  0.883516, Average Loss  0.868295, Time  0.234680
2021-09-22 15:04:39.182361 : Epoch  6, Batch   1397, Loss  0.899725, Average Loss  0.868467, Time  0.234599
2021-09-22 15:04:41.791108 : Epoch  6, Batch   1398, Loss  0.859624, Average Loss  0.868406, Time  0.234939
2021-09-22 15:04:44.400835 : Epoch  6, Batch   1399, Loss  0.869502, Average Loss  0.868434, Time  0.234770
2021-09-22 15:04:47.024950 : Epoch  6, Batch   1400, Loss  0.879005, Average Loss  0.868548, Time  0.234915
2021-09-22 15:04:49.655365 : Epoch  6, Batch   1401, Loss  0.890222, Average Loss  0.868586, Time  0.234514
2021-09-22 15:04:52.267978 : Epoch  6, Batch   1402, Loss  0.870930, Average Loss  0.868667, Time  0.235656
2021-09-22 15:04:54.856276 : Epoch  6, Batch   1403, Loss  0.885738, Average Loss  0.868732, Time  0.234592
2021-09-22 15:04:57.445712 : Epoch  6, Batch   1404, Loss  0.863695, Average Loss  0.868639, Time  0.235586
2021-09-22 15:05:00.069080 : Epoch  6, Batch   1405, Loss  0.877247, Average Loss  0.868604, Time  0.234535
2021-09-22 15:05:02.684941 : Epoch  6, Batch   1406, Loss  0.864838, Average Loss  0.868487, Time  0.234808
2021-09-22 15:05:05.307112 : Epoch  6, Batch   1407, Loss  0.870334, Average Loss  0.868470, Time  0.234765
2021-09-22 15:05:07.921808 : Epoch  6, Batch   1408, Loss  0.862127, Average Loss  0.868381, Time  0.237435
2021-09-22 15:05:10.528776 : Epoch  6, Batch   1409, Loss  0.872887, Average Loss  0.868429, Time  0.235543
2021-09-22 15:05:13.141948 : Epoch  6, Batch   1410, Loss  0.876262, Average Loss  0.868423, Time  0.234656
2021-09-22 15:05:15.748309 : Epoch  6, Batch   1411, Loss  0.884632, Average Loss  0.868584, Time  0.234898
2021-09-22 15:05:18.346836 : Epoch  6, Batch   1412, Loss  0.856629, Average Loss  0.868393, Time  0.235031
2021-09-22 15:05:20.949747 : Epoch  6, Batch   1413, Loss  0.869956, Average Loss  0.868376, Time  0.234603
2021-09-22 15:05:23.540750 : Epoch  6, Batch   1414, Loss  0.866113, Average Loss  0.868402, Time  0.234553
2021-09-22 15:05:26.140253 : Epoch  6, Batch   1415, Loss  0.858468, Average Loss  0.868254, Time  0.234290
2021-09-22 15:05:28.735831 : Epoch  6, Batch   1416, Loss  0.871084, Average Loss  0.868341, Time  0.234553
2021-09-22 15:05:31.346400 : Epoch  6, Batch   1417, Loss  0.858730, Average Loss  0.868290, Time  0.235455
2021-09-22 15:05:33.950778 : Epoch  6, Batch   1418, Loss  0.885063, Average Loss  0.868427, Time  0.234339
2021-09-22 15:05:36.544169 : Epoch  6, Batch   1419, Loss  0.861212, Average Loss  0.868465, Time  0.234262
2021-09-22 15:05:39.148120 : Epoch  6, Batch   1420, Loss  0.883590, Average Loss  0.868439, Time  0.235514
2021-09-22 15:09:47.116939 : CheckPoint: Validation Loss  0.00029851, Best Loss  0.00029393
2021-09-22 15:09:49.810016 : Epoch  6, Batch   1421, Loss  0.873074, Average Loss  0.868523, Time  0.269063
2021-09-22 15:09:52.442330 : Epoch  6, Batch   1422, Loss  0.877228, Average Loss  0.868609, Time  0.243555
2021-09-22 15:09:55.095502 : Epoch  6, Batch   1423, Loss  0.877271, Average Loss  0.868669, Time  0.236646
2021-09-22 15:09:57.725799 : Epoch  6, Batch   1424, Loss  0.851442, Average Loss  0.868641, Time  0.235361
2021-09-22 15:10:00.340980 : Epoch  6, Batch   1425, Loss  0.878524, Average Loss  0.868776, Time  0.235496
2021-09-22 15:10:02.980884 : Epoch  6, Batch   1426, Loss  0.871090, Average Loss  0.868793, Time  0.235350
2021-09-22 15:10:05.626912 : Epoch  6, Batch   1427, Loss  0.858663, Average Loss  0.868837, Time  0.238353
2021-09-22 15:10:08.272886 : Epoch  6, Batch   1428, Loss  0.903878, Average Loss  0.869002, Time  0.239372
2021-09-22 15:10:10.922515 : Epoch  6, Batch   1429, Loss  0.847326, Average Loss  0.868914, Time  0.238677
2021-09-22 15:10:13.545112 : Epoch  6, Batch   1430, Loss  0.872411, Average Loss  0.868961, Time  0.235248
2021-09-22 15:10:16.156922 : Epoch  6, Batch   1431, Loss  0.875050, Average Loss  0.868980, Time  0.235420
2021-09-22 15:10:18.786421 : Epoch  6, Batch   1432, Loss  0.875718, Average Loss  0.869017, Time  0.235741
2021-09-22 15:10:21.424402 : Epoch  6, Batch   1433, Loss  0.855773, Average Loss  0.868964, Time  0.235061
2021-09-22 15:10:24.053292 : Epoch  6, Batch   1434, Loss  0.876819, Average Loss  0.869042, Time  0.239406
2021-09-22 15:10:26.682819 : Epoch  6, Batch   1435, Loss  0.873847, Average Loss  0.869136, Time  0.235620
2021-09-22 15:10:29.313754 : Epoch  6, Batch   1436, Loss  0.855211, Average Loss  0.869129, Time  0.235479
2021-09-22 15:10:31.938962 : Epoch  6, Batch   1437, Loss  0.835929, Average Loss  0.869026, Time  0.235520
2021-09-22 15:10:34.560318 : Epoch  6, Batch   1438, Loss  0.879270, Average Loss  0.869065, Time  0.235928
2021-09-22 15:10:37.175828 : Epoch  6, Batch   1439, Loss  0.859355, Average Loss  0.869070, Time  0.241446
2021-09-22 15:10:39.820010 : Epoch  6, Batch   1440, Loss  0.869132, Average Loss  0.869015, Time  0.236352
2021-09-22 15:10:42.451994 : Epoch  6, Batch   1441, Loss  0.874784, Average Loss  0.868980, Time  0.240177
2021-09-22 15:10:45.068999 : Epoch  6, Batch   1442, Loss  0.860869, Average Loss  0.868895, Time  0.237157
2021-09-22 15:10:47.686517 : Epoch  6, Batch   1443, Loss  0.866850, Average Loss  0.868802, Time  0.234753
2021-09-22 15:10:50.304749 : Epoch  6, Batch   1444, Loss  0.847045, Average Loss  0.868734, Time  0.235078
2021-09-22 15:10:52.922992 : Epoch  6, Batch   1445, Loss  0.864774, Average Loss  0.868648, Time  0.234976
2021-09-22 15:10:55.558161 : Epoch  6, Batch   1446, Loss  0.876782, Average Loss  0.868602, Time  0.239278
2021-09-22 15:10:58.216914 : Epoch  6, Batch   1447, Loss  0.893146, Average Loss  0.868773, Time  0.251182
2021-09-22 15:11:00.878148 : Epoch  6, Batch   1448, Loss  0.875085, Average Loss  0.868890, Time  0.235069
2021-09-22 15:11:03.472889 : Epoch  6, Batch   1449, Loss  0.895130, Average Loss  0.869136, Time  0.234846
2021-09-22 15:11:06.099858 : Epoch  6, Batch   1450, Loss  0.880801, Average Loss  0.869119, Time  0.235643
2021-09-22 15:11:08.699160 : Epoch  6, Batch   1451, Loss  0.866922, Average Loss  0.869237, Time  0.235451
2021-09-22 15:11:11.322972 : Epoch  6, Batch   1452, Loss  0.884631, Average Loss  0.869272, Time  0.235620
2021-09-22 15:11:13.943337 : Epoch  6, Batch   1453, Loss  0.867936, Average Loss  0.869341, Time  0.234857
2021-09-22 15:11:16.549463 : Epoch  6, Batch   1454, Loss  0.885526, Average Loss  0.869355, Time  0.234536
2021-09-22 15:11:19.175771 : Epoch  6, Batch   1455, Loss  0.886862, Average Loss  0.869459, Time  0.238484
2021-09-22 15:11:21.796745 : Epoch  6, Batch   1456, Loss  0.885916, Average Loss  0.869543, Time  0.235859
2021-09-22 15:11:24.422309 : Epoch  6, Batch   1457, Loss  0.866067, Average Loss  0.869621, Time  0.234906
2021-09-22 15:11:27.076450 : Epoch  6, Batch   1458, Loss  0.882477, Average Loss  0.869683, Time  0.235548
2021-09-22 15:11:29.701641 : Epoch  6, Batch   1459, Loss  0.865441, Average Loss  0.869603, Time  0.235708
2021-09-22 15:11:32.336814 : Epoch  6, Batch   1460, Loss  0.852253, Average Loss  0.869489, Time  0.239331
2021-09-22 15:11:34.976801 : Epoch  6, Batch   1461, Loss  0.867842, Average Loss  0.869487, Time  0.235572
2021-09-22 15:11:37.624019 : Epoch  6, Batch   1462, Loss  0.877217, Average Loss  0.869492, Time  0.235899
2021-09-22 15:11:40.244766 : Epoch  6, Batch   1463, Loss  0.889410, Average Loss  0.869476, Time  0.234869
2021-09-22 15:11:42.869807 : Epoch  6, Batch   1464, Loss  0.868112, Average Loss  0.869523, Time  0.236571
2021-09-22 15:11:45.497886 : Epoch  6, Batch   1465, Loss  0.861183, Average Loss  0.869491, Time  0.238592
2021-09-22 15:11:48.115962 : Epoch  6, Batch   1466, Loss  0.884799, Average Loss  0.869699, Time  0.235318
2021-09-22 15:11:50.748036 : Epoch  6, Batch   1467, Loss  0.876288, Average Loss  0.869817, Time  0.237204
2021-09-22 15:11:53.369747 : Epoch  6, Batch   1468, Loss  0.881906, Average Loss  0.869792, Time  0.236026
2021-09-22 15:11:55.991214 : Epoch  6, Batch   1469, Loss  0.850911, Average Loss  0.869598, Time  0.234657
2021-09-22 15:11:58.606478 : Epoch  6, Batch   1470, Loss  0.886364, Average Loss  0.869647, Time  0.236841
2021-09-22 15:12:01.239771 : Epoch  6, Batch   1471, Loss  0.871295, Average Loss  0.869632, Time  0.237644
2021-09-22 15:12:03.868955 : Epoch  6, Batch   1472, Loss  0.858734, Average Loss  0.869551, Time  0.235874
2021-09-22 15:12:06.512943 : Epoch  6, Batch   1473, Loss  0.870619, Average Loss  0.869557, Time  0.235053
2021-09-22 15:12:09.141862 : Epoch  6, Batch   1474, Loss  0.880738, Average Loss  0.869598, Time  0.236158
2021-09-22 15:12:11.747915 : Epoch  6, Batch   1475, Loss  0.863348, Average Loss  0.869703, Time  0.234681
2021-09-22 15:12:14.358764 : Epoch  6, Batch   1476, Loss  0.876683, Average Loss  0.869776, Time  0.235847
2021-09-22 15:12:16.984851 : Epoch  6, Batch   1477, Loss  0.862124, Average Loss  0.869715, Time  0.235479
2021-09-22 15:12:19.593800 : Epoch  6, Batch   1478, Loss  0.887897, Average Loss  0.869794, Time  0.235443
2021-09-22 15:12:22.241306 : Epoch  6, Batch   1479, Loss  0.866819, Average Loss  0.869804, Time  0.240501
2021-09-22 15:12:24.876499 : Epoch  6, Batch   1480, Loss  0.852323, Average Loss  0.869745, Time  0.235381
2021-09-22 15:12:27.512241 : Epoch  6, Batch   1481, Loss  0.889802, Average Loss  0.869722, Time  0.236624
2021-09-22 15:12:30.144724 : Epoch  6, Batch   1482, Loss  0.886604, Average Loss  0.869856, Time  0.237747
2021-09-22 15:12:32.756673 : Epoch  6, Batch   1483, Loss  0.880529, Average Loss  0.869963, Time  0.235803
2021-09-22 15:12:35.367380 : Epoch  6, Batch   1484, Loss  0.871142, Average Loss  0.870027, Time  0.234477
2021-09-22 15:12:37.971364 : Epoch  6, Batch   1485, Loss  0.873385, Average Loss  0.869970, Time  0.234607
2021-09-22 15:12:40.576571 : Epoch  6, Batch   1486, Loss  0.885601, Average Loss  0.869913, Time  0.234993
2021-09-22 15:12:43.195922 : Epoch  6, Batch   1487, Loss  0.883872, Average Loss  0.869964, Time  0.237689
2021-09-22 15:12:45.806638 : Epoch  6, Batch   1488, Loss  0.871681, Average Loss  0.869984, Time  0.235728
2021-09-22 15:12:48.425107 : Epoch  6, Batch   1489, Loss  0.874725, Average Loss  0.869991, Time  0.236244
2021-09-22 15:12:51.061538 : Epoch  6, Batch   1490, Loss  0.879753, Average Loss  0.870137, Time  0.235610
2021-09-22 15:12:53.674347 : Epoch  6, Batch   1491, Loss  0.854714, Average Loss  0.870081, Time  0.235095
2021-09-22 15:12:56.321004 : Epoch  6, Batch   1492, Loss  0.888545, Average Loss  0.870270, Time  0.237166
2021-09-22 15:12:58.945934 : Epoch  6, Batch   1493, Loss  0.863685, Average Loss  0.870270, Time  0.235714
2021-09-22 15:13:01.581441 : Epoch  6, Batch   1494, Loss  0.865691, Average Loss  0.870223, Time  0.235744
2021-09-22 15:13:04.216847 : Epoch  6, Batch   1495, Loss  0.872982, Average Loss  0.870250, Time  0.236891
2021-09-22 15:13:06.843577 : Epoch  6, Batch   1496, Loss  0.844629, Average Loss  0.870102, Time  0.235968
2021-09-22 15:13:09.467289 : Epoch  6, Batch   1497, Loss  0.869332, Average Loss  0.870105, Time  0.235586
2021-09-22 15:13:12.092648 : Epoch  6, Batch   1498, Loss  0.872811, Average Loss  0.870176, Time  0.235692
2021-09-22 15:13:14.710759 : Epoch  6, Batch   1499, Loss  0.880058, Average Loss  0.870204, Time  0.235527
2021-09-22 15:13:17.344245 : Epoch  6, Batch   1500, Loss  0.879898, Average Loss  0.870281, Time  0.236286
2021-09-22 15:13:19.986548 : Epoch  6, Batch   1501, Loss  0.860600, Average Loss  0.870310, Time  0.236382
2021-09-22 15:13:22.635086 : Epoch  6, Batch   1502, Loss  0.856994, Average Loss  0.870293, Time  0.236301
2021-09-22 15:13:25.263084 : Epoch  6, Batch   1503, Loss  0.887185, Average Loss  0.870415, Time  0.236488
2021-09-22 15:13:28.022462 : Epoch  6, Batch   1504, Loss  0.868819, Average Loss  0.870462, Time  0.238061
2021-09-22 15:13:30.635777 : Epoch  6, Batch   1505, Loss  0.888516, Average Loss  0.870544, Time  0.235479
2021-09-22 15:13:33.264814 : Epoch  6, Batch   1506, Loss  0.857594, Average Loss  0.870453, Time  0.238238
2021-09-22 15:13:35.903089 : Epoch  6, Batch   1507, Loss  0.882029, Average Loss  0.870493, Time  0.245038
2021-09-22 15:13:38.511342 : Epoch  6, Batch   1508, Loss  0.883727, Average Loss  0.870587, Time  0.235409
2021-09-22 15:13:41.159992 : Epoch  6, Batch   1509, Loss  0.849680, Average Loss  0.870372, Time  0.235181
2021-09-22 15:13:43.778295 : Epoch  6, Batch   1510, Loss  0.855834, Average Loss  0.870292, Time  0.235718
2021-09-22 15:13:46.385831 : Epoch  6, Batch   1511, Loss  0.889711, Average Loss  0.870376, Time  0.235209
2021-09-22 15:13:49.029316 : Epoch  6, Batch   1512, Loss  0.850667, Average Loss  0.870344, Time  0.235126
2021-09-22 15:13:51.679998 : Epoch  6, Batch   1513, Loss  0.875364, Average Loss  0.870285, Time  0.238878
2021-09-22 15:13:54.297716 : Epoch  6, Batch   1514, Loss  0.867573, Average Loss  0.870288, Time  0.235976
2021-09-22 15:13:56.938913 : Epoch  6, Batch   1515, Loss  0.873406, Average Loss  0.870399, Time  0.235843
2021-09-22 15:13:59.538040 : Epoch  6, Batch   1516, Loss  0.849912, Average Loss  0.870206, Time  0.236497
2021-09-22 15:14:02.153791 : Epoch  6, Batch   1517, Loss  0.867189, Average Loss  0.870160, Time  0.238254
2021-09-22 15:14:04.777800 : Epoch  6, Batch   1518, Loss  0.848724, Average Loss  0.870067, Time  0.236530
2021-09-22 15:14:07.393781 : Epoch  6, Batch   1519, Loss  0.870689, Average Loss  0.869998, Time  0.235556
2021-09-22 15:14:09.999337 : Epoch  6, Batch   1520, Loss  0.840018, Average Loss  0.869877, Time  0.235338
2021-09-22 15:18:14.273726 : CheckPoint: Validation Loss  0.00030908, Best Loss  0.00029393
2021-09-22 15:18:16.901440 : Epoch  6, Batch   1521, Loss  0.871175, Average Loss  0.869939, Time  0.235793
2021-09-22 15:18:19.562510 : Epoch  6, Batch   1522, Loss  0.849800, Average Loss  0.869893, Time  0.236916
2021-09-22 15:18:22.197096 : Epoch  6, Batch   1523, Loss  0.881162, Average Loss  0.870038, Time  0.235915
2021-09-22 15:18:24.826849 : Epoch  6, Batch   1524, Loss  0.869286, Average Loss  0.870058, Time  0.236016
2021-09-22 15:18:27.473878 : Epoch  6, Batch   1525, Loss  0.866118, Average Loss  0.870100, Time  0.234955
2021-09-22 15:18:30.165466 : Epoch  6, Batch   1526, Loss  0.868377, Average Loss  0.870142, Time  0.235622
2021-09-22 15:18:32.772857 : Epoch  6, Batch   1527, Loss  0.877842, Average Loss  0.870258, Time  0.235395
2021-09-22 15:18:35.394517 : Epoch  6, Batch   1528, Loss  0.865906, Average Loss  0.870273, Time  0.235646
2021-09-22 15:18:38.061303 : Epoch  6, Batch   1529, Loss  0.861466, Average Loss  0.870174, Time  0.234607
2021-09-22 15:18:40.734837 : Epoch  6, Batch   1530, Loss  0.852527, Average Loss  0.870064, Time  0.236171
2021-09-22 15:18:43.396370 : Epoch  6, Batch   1531, Loss  0.861326, Average Loss  0.870071, Time  0.237198
2021-09-22 15:18:46.019970 : Epoch  6, Batch   1532, Loss  0.873137, Average Loss  0.870069, Time  0.235462
2021-09-22 15:18:48.659053 : Epoch  6, Batch   1533, Loss  0.868867, Average Loss  0.870016, Time  0.235867
2021-09-22 15:18:51.290365 : Epoch  6, Batch   1534, Loss  0.878184, Average Loss  0.869985, Time  0.235581
2021-09-22 15:18:53.922974 : Epoch  6, Batch   1535, Loss  0.895176, Average Loss  0.870179, Time  0.235284
2021-09-22 15:18:56.569919 : Epoch  6, Batch   1536, Loss  0.872910, Average Loss  0.870237, Time  0.236032
2021-09-22 15:18:59.208359 : Epoch  6, Batch   1537, Loss  0.878582, Average Loss  0.870298, Time  0.235183
2021-09-22 15:19:01.831137 : Epoch  6, Batch   1538, Loss  0.857075, Average Loss  0.870166, Time  0.235794
2021-09-22 15:19:04.472781 : Epoch  6, Batch   1539, Loss  0.864578, Average Loss  0.870171, Time  0.236097
2021-09-22 15:19:07.113900 : Epoch  6, Batch   1540, Loss  0.856935, Average Loss  0.870084, Time  0.236158
2021-09-22 15:19:09.737077 : Epoch  6, Batch   1541, Loss  0.881765, Average Loss  0.870147, Time  0.235139
2021-09-22 15:19:12.353836 : Epoch  6, Batch   1542, Loss  0.858038, Average Loss  0.870124, Time  0.235853
2021-09-22 15:19:14.985804 : Epoch  6, Batch   1543, Loss  0.860645, Average Loss  0.870167, Time  0.235460
2021-09-22 15:19:17.605172 : Epoch  6, Batch   1544, Loss  0.897166, Average Loss  0.870205, Time  0.235163
2021-09-22 15:19:20.227903 : Epoch  6, Batch   1545, Loss  0.865220, Average Loss  0.870210, Time  0.234537
2021-09-22 15:19:22.831762 : Epoch  6, Batch   1546, Loss  0.872182, Average Loss  0.870132, Time  0.235354
2021-09-22 15:19:25.449015 : Epoch  6, Batch   1547, Loss  0.847138, Average Loss  0.870066, Time  0.235000
2021-09-22 15:19:28.064679 : Epoch  6, Batch   1548, Loss  0.849926, Average Loss  0.869922, Time  0.235169
2021-09-22 15:19:30.662276 : Epoch  6, Batch   1549, Loss  0.846839, Average Loss  0.869775, Time  0.236147
2021-09-22 15:19:33.266225 : Epoch  6, Batch   1550, Loss  0.856770, Average Loss  0.869723, Time  0.238484
2021-09-22 15:19:35.897976 : Epoch  6, Batch   1551, Loss  0.871556, Average Loss  0.869761, Time  0.237895
2021-09-22 15:19:38.623057 : Epoch  6, Batch   1552, Loss  0.885649, Average Loss  0.869883, Time  0.234972
2021-09-22 15:19:41.242232 : Epoch  6, Batch   1553, Loss  0.864553, Average Loss  0.869789, Time  0.234328
2021-09-22 15:19:43.859184 : Epoch  6, Batch   1554, Loss  0.853873, Average Loss  0.869811, Time  0.236682
2021-09-22 15:19:46.477827 : Epoch  6, Batch   1555, Loss  0.878443, Average Loss  0.869842, Time  0.234857
2021-09-22 15:19:49.101239 : Epoch  6, Batch   1556, Loss  0.875380, Average Loss  0.869921, Time  0.235422
2021-09-22 15:19:51.713343 : Epoch  6, Batch   1557, Loss  0.868970, Average Loss  0.869910, Time  0.238054
2021-09-22 15:19:54.321178 : Epoch  6, Batch   1558, Loss  0.853943, Average Loss  0.869837, Time  0.237010
2021-09-22 15:19:57.190153 : Epoch  6, Batch   1559, Loss  0.877714, Average Loss  0.869877, Time  0.235773
2021-09-22 15:19:59.803933 : Epoch  6, Batch   1560, Loss  0.882298, Average Loss  0.869891, Time  0.237850
2021-09-22 15:20:02.427961 : Epoch  6, Batch   1561, Loss  0.875333, Average Loss  0.869960, Time  0.235755
2021-09-22 15:20:05.152560 : Epoch  6, Batch   1562, Loss  0.893367, Average Loss  0.870182, Time  0.235995
2021-09-22 15:20:07.764893 : Epoch  6, Batch   1563, Loss  0.877981, Average Loss  0.870325, Time  0.234323
2021-09-22 15:20:10.385762 : Epoch  6, Batch   1564, Loss  0.871282, Average Loss  0.870370, Time  0.235055
2021-09-22 15:20:13.005748 : Epoch  6, Batch   1565, Loss  0.876514, Average Loss  0.870350, Time  0.234915
2021-09-22 15:20:15.634000 : Epoch  6, Batch   1566, Loss  0.886761, Average Loss  0.870382, Time  0.235925
2021-09-22 15:20:18.480874 : Epoch  6, Batch   1567, Loss  0.859290, Average Loss  0.870266, Time  0.237284
2021-09-22 15:20:21.179210 : Epoch  6, Batch   1568, Loss  0.872427, Average Loss  0.870354, Time  0.243159
2021-09-22 15:20:23.906161 : Epoch  6, Batch   1569, Loss  0.882969, Average Loss  0.870335, Time  0.234662
2021-09-22 15:20:26.549241 : Epoch  6, Batch   1570, Loss  0.885074, Average Loss  0.870428, Time  0.235769
2021-09-22 15:20:29.166241 : Epoch  6, Batch   1571, Loss  0.869468, Average Loss  0.870418, Time  0.234512
2021-09-22 15:20:31.769054 : Epoch  6, Batch   1572, Loss  0.871737, Average Loss  0.870407, Time  0.234665
2021-09-22 15:20:34.367232 : Epoch  6, Batch   1573, Loss  0.874564, Average Loss  0.870484, Time  0.235200
2021-09-22 15:20:37.009036 : Epoch  6, Batch   1574, Loss  0.880696, Average Loss  0.870602, Time  0.235533
2021-09-22 15:20:39.619146 : Epoch  6, Batch   1575, Loss  0.850026, Average Loss  0.870568, Time  0.234838
2021-09-22 15:20:42.219776 : Epoch  6, Batch   1576, Loss  0.861616, Average Loss  0.870537, Time  0.234910
2021-09-22 15:20:44.826044 : Epoch  6, Batch   1577, Loss  0.896766, Average Loss  0.870688, Time  0.234561
2021-09-22 15:20:47.430228 : Epoch  6, Batch   1578, Loss  0.854275, Average Loss  0.870551, Time  0.235197
2021-09-22 15:20:50.047637 : Epoch  6, Batch   1579, Loss  0.844524, Average Loss  0.870479, Time  0.235382
2021-09-22 15:20:52.664989 : Epoch  6, Batch   1580, Loss  0.889480, Average Loss  0.870585, Time  0.235832
2021-09-22 15:20:55.297462 : Epoch  6, Batch   1581, Loss  0.861248, Average Loss  0.870564, Time  0.235670
2021-09-22 15:20:57.917387 : Epoch  6, Batch   1582, Loss  0.867436, Average Loss  0.870523, Time  0.235114
2021-09-22 15:21:00.534417 : Epoch  6, Batch   1583, Loss  0.872516, Average Loss  0.870631, Time  0.234103
2021-09-22 15:21:03.147067 : Epoch  6, Batch   1584, Loss  0.868020, Average Loss  0.870619, Time  0.235169
2021-09-22 15:21:05.747958 : Epoch  6, Batch   1585, Loss  0.870617, Average Loss  0.870772, Time  0.235205
2021-09-22 15:21:08.359037 : Epoch  6, Batch   1586, Loss  0.886165, Average Loss  0.870832, Time  0.234683
2021-09-22 15:21:10.971040 : Epoch  6, Batch   1587, Loss  0.861248, Average Loss  0.870742, Time  0.234346
2021-09-22 15:21:13.586761 : Epoch  6, Batch   1588, Loss  0.881970, Average Loss  0.870903, Time  0.234835
2021-09-22 15:21:16.199571 : Epoch  6, Batch   1589, Loss  0.851254, Average Loss  0.870825, Time  0.235393
2021-09-22 15:21:18.807824 : Epoch  6, Batch   1590, Loss  0.874978, Average Loss  0.870848, Time  0.235129
2021-09-22 15:21:21.425805 : Epoch  6, Batch   1591, Loss  0.873013, Average Loss  0.870941, Time  0.236092
2021-09-22 15:21:24.047260 : Epoch  6, Batch   1592, Loss  0.886622, Average Loss  0.870986, Time  0.234861
2021-09-22 15:21:26.662201 : Epoch  6, Batch   1593, Loss  0.894154, Average Loss  0.871145, Time  0.234700
2021-09-22 15:21:29.274747 : Epoch  6, Batch   1594, Loss  0.868669, Average Loss  0.871059, Time  0.235022
2021-09-22 15:21:31.919885 : Epoch  6, Batch   1595, Loss  0.835766, Average Loss  0.870810, Time  0.234387
2021-09-22 15:21:34.537025 : Epoch  6, Batch   1596, Loss  0.869258, Average Loss  0.870739, Time  0.235160
2021-09-22 15:21:37.154248 : Epoch  6, Batch   1597, Loss  0.861013, Average Loss  0.870545, Time  0.235008
2021-09-22 15:21:39.773688 : Epoch  6, Batch   1598, Loss  0.875509, Average Loss  0.870625, Time  0.235333
2021-09-22 15:21:42.382037 : Epoch  6, Batch   1599, Loss  0.874462, Average Loss  0.870650, Time  0.235162
2021-09-22 15:21:45.010726 : Epoch  6, Batch   1600, Loss  0.874546, Average Loss  0.870627, Time  0.235637
2021-09-22 15:21:47.648094 : Epoch  6, Batch   1601, Loss  0.865479, Average Loss  0.870504, Time  0.236084
2021-09-22 15:21:50.250082 : Epoch  6, Batch   1602, Loss  0.893482, Average Loss  0.870616, Time  0.236971
2021-09-22 15:21:52.867304 : Epoch  6, Batch   1603, Loss  0.864492, Average Loss  0.870510, Time  0.236292
2021-09-22 15:21:55.477473 : Epoch  6, Batch   1604, Loss  0.867318, Average Loss  0.870528, Time  0.236269
2021-09-22 15:21:58.100222 : Epoch  6, Batch   1605, Loss  0.878823, Average Loss  0.870536, Time  0.235862
2021-09-22 15:22:00.703937 : Epoch  6, Batch   1606, Loss  0.873002, Average Loss  0.870577, Time  0.234676
2021-09-22 15:22:03.329487 : Epoch  6, Batch   1607, Loss  0.879163, Average Loss  0.870621, Time  0.234462
2021-09-22 15:22:05.944121 : Epoch  6, Batch   1608, Loss  0.879799, Average Loss  0.870709, Time  0.234660
2021-09-22 15:22:08.552724 : Epoch  6, Batch   1609, Loss  0.867220, Average Loss  0.870681, Time  0.234614
2021-09-22 15:22:11.168068 : Epoch  6, Batch   1610, Loss  0.858080, Average Loss  0.870590, Time  0.235495
2021-09-22 15:22:13.810164 : Epoch  6, Batch   1611, Loss  0.855816, Average Loss  0.870446, Time  0.235262
2021-09-22 15:22:16.422231 : Epoch  6, Batch   1612, Loss  0.885965, Average Loss  0.870593, Time  0.234725
2021-09-22 15:22:19.034565 : Epoch  6, Batch   1613, Loss  0.851649, Average Loss  0.870501, Time  0.234361
2021-09-22 15:22:21.642248 : Epoch  6, Batch   1614, Loss  0.870758, Average Loss  0.870524, Time  0.235295
2021-09-22 15:22:24.264238 : Epoch  6, Batch   1615, Loss  0.872021, Average Loss  0.870592, Time  0.234220
2021-09-22 15:22:26.875233 : Epoch  6, Batch   1616, Loss  0.873791, Average Loss  0.870606, Time  0.234812
2021-09-22 15:22:29.489091 : Epoch  6, Batch   1617, Loss  0.868427, Average Loss  0.870654, Time  0.235120
2021-09-22 15:22:32.099516 : Epoch  6, Batch   1618, Loss  0.859041, Average Loss  0.870524, Time  0.235198
2021-09-22 15:22:34.720251 : Epoch  6, Batch   1619, Loss  0.870993, Average Loss  0.870573, Time  0.233878
2021-09-22 15:22:37.322789 : Epoch  6, Batch   1620, Loss  0.869703, Average Loss  0.870504, Time  0.235025
2021-09-22 15:26:40.019835 : CheckPoint: Validation Loss  0.00030705, Best Loss  0.00029393
2021-09-22 15:26:42.627217 : Epoch  6, Batch   1621, Loss  0.853826, Average Loss  0.870407, Time  0.236302
2021-09-22 15:26:45.235120 : Epoch  6, Batch   1622, Loss  0.879844, Average Loss  0.870420, Time  0.234174
2021-09-22 15:26:47.846874 : Epoch  6, Batch   1623, Loss  0.849784, Average Loss  0.870283, Time  0.234593
2021-09-22 15:26:50.466780 : Epoch  6, Batch   1624, Loss  0.843292, Average Loss  0.870242, Time  0.234339
2021-09-22 15:26:53.073718 : Epoch  6, Batch   1625, Loss  0.864159, Average Loss  0.870170, Time  0.234740
2021-09-22 15:26:55.677496 : Epoch  6, Batch   1626, Loss  0.858630, Average Loss  0.870108, Time  0.234201
2021-09-22 15:26:58.286266 : Epoch  6, Batch   1627, Loss  0.884178, Average Loss  0.870236, Time  0.234573
2021-09-22 15:27:00.906234 : Epoch  6, Batch   1628, Loss  0.862170, Average Loss  0.870027, Time  0.234640
2021-09-22 15:27:03.515806 : Epoch  6, Batch   1629, Loss  0.861672, Average Loss  0.870099, Time  0.234712
2021-09-22 15:27:06.120263 : Epoch  6, Batch   1630, Loss  0.864985, Average Loss  0.870062, Time  0.235051
2021-09-22 15:27:08.723345 : Epoch  6, Batch   1631, Loss  0.886291, Average Loss  0.870118, Time  0.234431
2021-09-22 15:27:11.331235 : Epoch  6, Batch   1632, Loss  0.856626, Average Loss  0.870023, Time  0.234835
2021-09-22 15:27:13.950449 : Epoch  6, Batch   1633, Loss  0.867037, Average Loss  0.870079, Time  0.234059
2021-09-22 15:27:16.558901 : Epoch  6, Batch   1634, Loss  0.891916, Average Loss  0.870154, Time  0.234697
2021-09-22 15:27:19.176253 : Epoch  6, Batch   1635, Loss  0.865574, Average Loss  0.870113, Time  0.234784
2021-09-22 15:27:21.798712 : Epoch  6, Batch   1636, Loss  0.866350, Average Loss  0.870169, Time  0.234442
2021-09-22 15:27:24.399565 : Epoch  6, Batch   1637, Loss  0.868761, Average Loss  0.870333, Time  0.234340
2021-09-22 15:27:27.014192 : Epoch  6, Batch   1638, Loss  0.885587, Average Loss  0.870364, Time  0.235559
2021-09-22 15:27:29.632733 : Epoch  6, Batch   1639, Loss  0.883008, Average Loss  0.870483, Time  0.234822
2021-09-22 15:27:32.268892 : Epoch  6, Batch   1640, Loss  0.874671, Average Loss  0.870510, Time  0.236286
2021-09-22 15:27:34.882230 : Epoch  6, Batch   1641, Loss  0.871992, Average Loss  0.870496, Time  0.234441
2021-09-22 15:27:37.501978 : Epoch  6, Batch   1642, Loss  0.868073, Average Loss  0.870532, Time  0.235356
2021-09-22 15:27:40.134497 : Epoch  6, Batch   1643, Loss  0.865856, Average Loss  0.870527, Time  0.234428
2021-09-22 15:27:42.739166 : Epoch  6, Batch   1644, Loss  0.882353, Average Loss  0.870704, Time  0.234619
2021-09-22 15:27:45.354322 : Epoch  6, Batch   1645, Loss  0.866166, Average Loss  0.870711, Time  0.235339
2021-09-22 15:27:47.985075 : Epoch  6, Batch   1646, Loss  0.882861, Average Loss  0.870741, Time  0.234234
2021-09-22 15:27:50.606965 : Epoch  6, Batch   1647, Loss  0.853023, Average Loss  0.870541, Time  0.234162
2021-09-22 15:27:53.227260 : Epoch  6, Batch   1648, Loss  0.878424, Average Loss  0.870557, Time  0.234295
2021-09-22 15:27:55.858910 : Epoch  6, Batch   1649, Loss  0.873643, Average Loss  0.870450, Time  0.235194
2021-09-22 15:27:58.481262 : Epoch  6, Batch   1650, Loss  0.884136, Average Loss  0.870467, Time  0.236101
2021-09-22 15:28:01.100461 : Epoch  6, Batch   1651, Loss  0.867526, Average Loss  0.870470, Time  0.234117
2021-09-22 15:28:03.697400 : Epoch  6, Batch   1652, Loss  0.875224, Average Loss  0.870423, Time  0.234929
2021-09-22 15:28:06.321456 : Epoch  6, Batch   1653, Loss  0.878325, Average Loss  0.870475, Time  0.234904
2021-09-22 15:28:08.932195 : Epoch  6, Batch   1654, Loss  0.858719, Average Loss  0.870341, Time  0.234433
2021-09-22 15:28:11.539817 : Epoch  6, Batch   1655, Loss  0.869749, Average Loss  0.870255, Time  0.234565
2021-09-22 15:28:14.153173 : Epoch  6, Batch   1656, Loss  0.884574, Average Loss  0.870248, Time  0.236253
2021-09-22 15:28:16.775054 : Epoch  6, Batch   1657, Loss  0.892179, Average Loss  0.870379, Time  0.235121
2021-09-22 15:28:19.421818 : Epoch  6, Batch   1658, Loss  0.864812, Average Loss  0.870291, Time  0.235110
2021-09-22 15:28:22.070234 : Epoch  6, Batch   1659, Loss  0.882894, Average Loss  0.870378, Time  0.234465
2021-09-22 15:28:24.684727 : Epoch  6, Batch   1660, Loss  0.879671, Average Loss  0.870515, Time  0.234734
2021-09-22 15:28:27.291807 : Epoch  6, Batch   1661, Loss  0.880616, Average Loss  0.870579, Time  0.234576
2021-09-22 15:28:29.901165 : Epoch  6, Batch   1662, Loss  0.866022, Average Loss  0.870523, Time  0.234351
2021-09-22 15:28:32.521032 : Epoch  6, Batch   1663, Loss  0.865444, Average Loss  0.870403, Time  0.235973
2021-09-22 15:28:35.129217 : Epoch  6, Batch   1664, Loss  0.838829, Average Loss  0.870257, Time  0.234390
2021-09-22 15:28:37.742293 : Epoch  6, Batch   1665, Loss  0.862557, Average Loss  0.870263, Time  0.235091
2021-09-22 15:28:40.354217 : Epoch  6, Batch   1666, Loss  0.852530, Average Loss  0.870102, Time  0.235798
2021-09-22 15:28:42.991716 : Epoch  6, Batch   1667, Loss  0.882543, Average Loss  0.870133, Time  0.236118
2021-09-22 15:28:45.586910 : Epoch  6, Batch   1668, Loss  0.836241, Average Loss  0.869905, Time  0.234442
2021-09-22 15:28:48.259925 : Epoch  6, Batch   1669, Loss  0.888082, Average Loss  0.870091, Time  0.235205
2021-09-22 15:28:50.871824 : Epoch  6, Batch   1670, Loss  0.878838, Average Loss  0.870053, Time  0.234685
2021-09-22 15:28:53.482991 : Epoch  6, Batch   1671, Loss  0.884971, Average Loss  0.870122, Time  0.234527
2021-09-22 15:28:56.096495 : Epoch  6, Batch   1672, Loss  0.852912, Average Loss  0.870092, Time  0.234986
2021-09-22 15:28:58.709226 : Epoch  6, Batch   1673, Loss  0.869334, Average Loss  0.870086, Time  0.234462
2021-09-22 15:29:01.326179 : Epoch  6, Batch   1674, Loss  0.886399, Average Loss  0.870114, Time  0.235037
2021-09-22 15:29:03.974473 : Epoch  6, Batch   1675, Loss  0.845772, Average Loss  0.870026, Time  0.234962
2021-09-22 15:29:06.577025 : Epoch  6, Batch   1676, Loss  0.877332, Average Loss  0.870030, Time  0.234293
2021-09-22 15:29:09.188092 : Epoch  6, Batch   1677, Loss  0.905954, Average Loss  0.870249, Time  0.234235
2021-09-22 15:29:11.803138 : Epoch  6, Batch   1678, Loss  0.840655, Average Loss  0.870013, Time  0.234162
2021-09-22 15:29:14.397465 : Epoch  6, Batch   1679, Loss  0.862434, Average Loss  0.869991, Time  0.235199
2021-09-22 15:29:17.010936 : Epoch  6, Batch   1680, Loss  0.852561, Average Loss  0.869992, Time  0.236554
2021-09-22 15:29:19.624666 : Epoch  6, Batch   1681, Loss  0.861446, Average Loss  0.869850, Time  0.234568
2021-09-22 15:29:22.235035 : Epoch  6, Batch   1682, Loss  0.843288, Average Loss  0.869634, Time  0.235320
2021-09-22 15:29:24.841781 : Epoch  6, Batch   1683, Loss  0.867024, Average Loss  0.869566, Time  0.234642
2021-09-22 15:29:27.451736 : Epoch  6, Batch   1684, Loss  0.887892, Average Loss  0.869650, Time  0.235765
2021-09-22 15:29:30.066944 : Epoch  6, Batch   1685, Loss  0.877327, Average Loss  0.869670, Time  0.234009
2021-09-22 15:29:32.687721 : Epoch  6, Batch   1686, Loss  0.871830, Average Loss  0.869601, Time  0.236475
2021-09-22 15:29:35.291196 : Epoch  6, Batch   1687, Loss  0.872809, Average Loss  0.869545, Time  0.234896
2021-09-22 15:29:37.918153 : Epoch  6, Batch   1688, Loss  0.894303, Average Loss  0.869658, Time  0.235897
2021-09-22 15:29:40.561015 : Epoch  6, Batch   1689, Loss  0.877994, Average Loss  0.869675, Time  0.235134
2021-09-22 15:29:43.173143 : Epoch  6, Batch   1690, Loss  0.880599, Average Loss  0.869679, Time  0.235661
2021-09-22 15:29:45.800223 : Epoch  6, Batch   1691, Loss  0.888064, Average Loss  0.869846, Time  0.234140
2021-09-22 15:29:48.411228 : Epoch  6, Batch   1692, Loss  0.894922, Average Loss  0.869878, Time  0.235011
2021-09-22 15:29:51.039775 : Epoch  6, Batch   1693, Loss  0.874039, Average Loss  0.869929, Time  0.234254
2021-09-22 15:29:53.666482 : Epoch  6, Batch   1694, Loss  0.860481, Average Loss  0.869903, Time  0.234607
2021-09-22 15:29:56.274237 : Epoch  6, Batch   1695, Loss  0.869757, Average Loss  0.869887, Time  0.237796
2021-09-22 15:29:58.880787 : Epoch  6, Batch   1696, Loss  0.889980, Average Loss  0.870114, Time  0.238289
2021-09-22 15:30:01.498065 : Epoch  6, Batch   1697, Loss  0.842099, Average Loss  0.869978, Time  0.234964
2021-09-22 15:30:04.122239 : Epoch  6, Batch   1698, Loss  0.873499, Average Loss  0.869981, Time  0.235146
2021-09-22 15:30:06.750217 : Epoch  6, Batch   1699, Loss  0.880747, Average Loss  0.869985, Time  0.235033
2021-09-22 15:30:09.367717 : Epoch  6, Batch   1700, Loss  0.878405, Average Loss  0.869977, Time  0.235811
2021-09-22 15:30:11.982857 : Epoch  6, Batch   1701, Loss  0.870127, Average Loss  0.870025, Time  0.234580
2021-09-22 15:30:14.576736 : Epoch  6, Batch   1702, Loss  0.866782, Average Loss  0.870074, Time  0.235054
2021-09-22 15:30:17.183361 : Epoch  6, Batch   1703, Loss  0.861153, Average Loss  0.869944, Time  0.234922
2021-09-22 15:30:19.793764 : Epoch  6, Batch   1704, Loss  0.840365, Average Loss  0.869801, Time  0.235082
2021-09-22 15:30:22.409699 : Epoch  6, Batch   1705, Loss  0.844281, Average Loss  0.869580, Time  0.234981
2021-09-22 15:30:25.029049 : Epoch  6, Batch   1706, Loss  0.858340, Average Loss  0.869584, Time  0.235341
2021-09-22 15:30:27.649216 : Epoch  6, Batch   1707, Loss  0.863470, Average Loss  0.869491, Time  0.235102
2021-09-22 15:30:30.253769 : Epoch  6, Batch   1708, Loss  0.873388, Average Loss  0.869439, Time  0.234420
2021-09-22 15:30:32.875770 : Epoch  6, Batch   1709, Loss  0.879816, Average Loss  0.869590, Time  0.234766
2021-09-22 15:30:35.482952 : Epoch  6, Batch   1710, Loss  0.848121, Average Loss  0.869552, Time  0.235388
2021-09-22 15:30:38.095189 : Epoch  6, Batch   1711, Loss  0.854863, Average Loss  0.869377, Time  0.235773
2021-09-22 15:30:40.716284 : Epoch  6, Batch   1712, Loss  0.878241, Average Loss  0.869515, Time  0.235135
2021-09-22 15:30:43.320440 : Epoch  6, Batch   1713, Loss  0.877174, Average Loss  0.869524, Time  0.237484
2021-09-22 15:30:45.921804 : Epoch  6, Batch   1714, Loss  0.896601, Average Loss  0.869669, Time  0.235109
2021-09-22 15:30:48.525925 : Epoch  6, Batch   1715, Loss  0.861932, Average Loss  0.869612, Time  0.235080
2021-09-22 15:30:51.132231 : Epoch  6, Batch   1716, Loss  0.875152, Average Loss  0.869738, Time  0.234301
2021-09-22 15:30:53.782997 : Epoch  6, Batch   1717, Loss  0.865177, Average Loss  0.869728, Time  0.234289
2021-09-22 15:30:56.395221 : Epoch  6, Batch   1718, Loss  0.870805, Average Loss  0.869839, Time  0.234376
2021-09-22 15:30:59.039808 : Epoch  6, Batch   1719, Loss  0.861892, Average Loss  0.869795, Time  0.234627
2021-09-22 15:31:08.631813 : Epoch  6, Batch   1720, Loss  0.862379, Average Loss  0.869906, Time  0.269113
2021-09-22 15:35:10.693698 : CheckPoint: Validation Loss  0.00029944, Best Loss  0.00029393
2021-09-22 15:35:13.313972 : Epoch  6, Batch   1721, Loss  0.858778, Average Loss  0.869844, Time  0.251647
2021-09-22 15:35:15.925023 : Epoch  6, Batch   1722, Loss  0.869992, Average Loss  0.869945, Time  0.239286
2021-09-22 15:35:18.539871 : Epoch  6, Batch   1723, Loss  0.864796, Average Loss  0.869864, Time  0.235455
2021-09-22 15:35:21.154973 : Epoch  6, Batch   1724, Loss  0.870933, Average Loss  0.869872, Time  0.236817
2021-09-22 15:35:23.765053 : Epoch  6, Batch   1725, Loss  0.887906, Average Loss  0.869981, Time  0.235003
2021-09-22 15:35:26.373998 : Epoch  6, Batch   1726, Loss  0.857737, Average Loss  0.869928, Time  0.235855
2021-09-22 15:35:29.005890 : Epoch  6, Batch   1727, Loss  0.856479, Average Loss  0.869821, Time  0.234703
2021-09-22 15:35:31.598064 : Epoch  6, Batch   1728, Loss  0.867341, Average Loss  0.869828, Time  0.234870
2021-09-22 15:35:34.205831 : Epoch  6, Batch   1729, Loss  0.872936, Average Loss  0.869885, Time  0.235264
2021-09-22 15:35:36.826050 : Epoch  6, Batch   1730, Loss  0.871170, Average Loss  0.869978, Time  0.234800
2021-09-22 15:35:39.425760 : Epoch  6, Batch   1731, Loss  0.874707, Average Loss  0.870045, Time  0.235370
2021-09-22 15:35:42.022096 : Epoch  6, Batch   1732, Loss  0.858186, Average Loss  0.869971, Time  0.234840
2021-09-22 15:35:44.625962 : Epoch  6, Batch   1733, Loss  0.874389, Average Loss  0.869998, Time  0.235054
2021-09-22 15:35:47.238399 : Epoch  6, Batch   1734, Loss  0.839700, Average Loss  0.869806, Time  0.235782
2021-09-22 15:35:49.846260 : Epoch  6, Batch   1735, Loss  0.882707, Average Loss  0.869743, Time  0.234171
2021-09-22 15:35:52.448218 : Epoch  6, Batch   1736, Loss  0.860817, Average Loss  0.869683, Time  0.235347
2021-09-22 15:35:55.050395 : Epoch  6, Batch   1737, Loss  0.895960, Average Loss  0.869770, Time  0.237421
2021-09-22 15:35:57.665611 : Epoch  6, Batch   1738, Loss  0.871791, Average Loss  0.869843, Time  0.235258
2021-09-22 15:36:00.284728 : Epoch  6, Batch   1739, Loss  0.864459, Average Loss  0.869843, Time  0.234882
2021-09-22 15:36:02.908801 : Epoch  6, Batch   1740, Loss  0.843577, Average Loss  0.869776, Time  0.235371
2021-09-22 15:36:05.523773 : Epoch  6, Batch   1741, Loss  0.887525, Average Loss  0.869805, Time  0.234239
2021-09-22 15:36:08.126675 : Epoch  6, Batch   1742, Loss  0.866350, Average Loss  0.869846, Time  0.235257
2021-09-22 15:36:10.743106 : Epoch  6, Batch   1743, Loss  0.851305, Average Loss  0.869800, Time  0.236373
2021-09-22 15:36:13.345069 : Epoch  6, Batch   1744, Loss  0.880276, Average Loss  0.869715, Time  0.234356
2021-09-22 15:36:15.947408 : Epoch  6, Batch   1745, Loss  0.855228, Average Loss  0.869665, Time  0.234264
2021-09-22 15:36:18.562795 : Epoch  6, Batch   1746, Loss  0.878190, Average Loss  0.869695, Time  0.235879
2021-09-22 15:36:21.171222 : Epoch  6, Batch   1747, Loss  0.847145, Average Loss  0.869695, Time  0.234889
2021-09-22 15:36:23.795279 : Epoch  6, Batch   1748, Loss  0.867718, Average Loss  0.869784, Time  0.235510
2021-09-22 15:36:26.406816 : Epoch  6, Batch   1749, Loss  0.853772, Average Loss  0.869819, Time  0.234876
2021-09-22 15:36:29.017231 : Epoch  6, Batch   1750, Loss  0.871789, Average Loss  0.869894, Time  0.235185
2021-09-22 15:36:31.616446 : Epoch  6, Batch   1751, Loss  0.859400, Average Loss  0.869833, Time  0.234453
2021-09-22 15:36:34.225242 : Epoch  6, Batch   1752, Loss  0.873169, Average Loss  0.869771, Time  0.234613
2021-09-22 15:36:36.834304 : Epoch  6, Batch   1753, Loss  0.870384, Average Loss  0.869800, Time  0.237846
2021-09-22 15:36:39.450244 : Epoch  6, Batch   1754, Loss  0.874579, Average Loss  0.869904, Time  0.235768
2021-09-22 15:36:42.048108 : Epoch  6, Batch   1755, Loss  0.880320, Average Loss  0.869913, Time  0.234543
2021-09-22 15:36:44.642737 : Epoch  6, Batch   1756, Loss  0.867978, Average Loss  0.869876, Time  0.234550
2021-09-22 15:36:47.254245 : Epoch  6, Batch   1757, Loss  0.885859, Average Loss  0.869960, Time  0.234574
2021-09-22 15:36:49.860133 : Epoch  6, Batch   1758, Loss  0.860716, Average Loss  0.869994, Time  0.235004
2021-09-22 15:36:52.478025 : Epoch  6, Batch   1759, Loss  0.874833, Average Loss  0.869980, Time  0.234410
2021-09-22 15:36:55.085227 : Epoch  6, Batch   1760, Loss  0.873294, Average Loss  0.869935, Time  0.235214
2021-09-22 15:36:57.691597 : Epoch  6, Batch   1761, Loss  0.870176, Average Loss  0.869909, Time  0.237062
2021-09-22 15:37:00.365959 : Epoch  6, Batch   1762, Loss  0.864867, Average Loss  0.869767, Time  0.242285
2021-09-22 15:37:02.966348 : Epoch  6, Batch   1763, Loss  0.877963, Average Loss  0.869767, Time  0.235507
2021-09-22 15:37:05.587122 : Epoch  6, Batch   1764, Loss  0.863448, Average Loss  0.869727, Time  0.235230
2021-09-22 15:37:08.196506 : Epoch  6, Batch   1765, Loss  0.865050, Average Loss  0.869670, Time  0.234806
2021-09-22 15:37:10.811830 : Epoch  6, Batch   1766, Loss  0.856441, Average Loss  0.869518, Time  0.235326
2021-09-22 15:37:13.416190 : Epoch  6, Batch   1767, Loss  0.865735, Average Loss  0.869551, Time  0.234542
2021-09-22 15:37:16.017717 : Epoch  6, Batch   1768, Loss  0.832865, Average Loss  0.869353, Time  0.235263
2021-09-22 15:37:18.641254 : Epoch  6, Batch   1769, Loss  0.878974, Average Loss  0.869333, Time  0.234504
2021-09-22 15:37:21.298500 : Epoch  6, Batch   1770, Loss  0.891704, Average Loss  0.869366, Time  0.236264
2021-09-22 15:37:23.935911 : Epoch  6, Batch   1771, Loss  0.877714, Average Loss  0.869407, Time  0.234602
2021-09-22 15:37:26.537031 : Epoch  6, Batch   1772, Loss  0.866973, Average Loss  0.869383, Time  0.235088
2021-09-22 15:37:29.147948 : Epoch  6, Batch   1773, Loss  0.862355, Average Loss  0.869322, Time  0.235358
2021-09-22 15:37:31.777101 : Epoch  6, Batch   1774, Loss  0.863512, Average Loss  0.869236, Time  0.234841
2021-09-22 15:37:34.394076 : Epoch  6, Batch   1775, Loss  0.850302, Average Loss  0.869238, Time  0.235205
2021-09-22 15:37:37.000851 : Epoch  6, Batch   1776, Loss  0.841294, Average Loss  0.869136, Time  0.235402
2021-09-22 15:37:39.596973 : Epoch  6, Batch   1777, Loss  0.887874, Average Loss  0.869092, Time  0.234397
2021-09-22 15:37:42.189025 : Epoch  6, Batch   1778, Loss  0.859224, Average Loss  0.869117, Time  0.235529
2021-09-22 15:37:44.806048 : Epoch  6, Batch   1779, Loss  0.866753, Average Loss  0.869228, Time  0.234712
2021-09-22 15:37:47.408424 : Epoch  6, Batch   1780, Loss  0.856380, Average Loss  0.869062, Time  0.234704
2021-09-22 15:37:50.018416 : Epoch  6, Batch   1781, Loss  0.864089, Average Loss  0.869076, Time  0.234541
2021-09-22 15:37:52.624162 : Epoch  6, Batch   1782, Loss  0.889035, Average Loss  0.869184, Time  0.235225
2021-09-22 15:37:55.229646 : Epoch  6, Batch   1783, Loss  0.896569, Average Loss  0.869305, Time  0.234921
2021-09-22 15:37:57.820755 : Epoch  6, Batch   1784, Loss  0.847717, Average Loss  0.869203, Time  0.235510
2021-09-22 15:38:00.457751 : Epoch  6, Batch   1785, Loss  0.859742, Average Loss  0.869149, Time  0.234473
2021-09-22 15:38:03.079431 : Epoch  6, Batch   1786, Loss  0.848407, Average Loss  0.868960, Time  0.234941
2021-09-22 15:38:05.687736 : Epoch  6, Batch   1787, Loss  0.846848, Average Loss  0.868888, Time  0.235035
2021-09-22 15:38:08.296106 : Epoch  6, Batch   1788, Loss  0.872116, Average Loss  0.868839, Time  0.234966
2021-09-22 15:38:10.902019 : Epoch  6, Batch   1789, Loss  0.882942, Average Loss  0.868997, Time  0.235041
2021-09-22 15:38:13.497994 : Epoch  6, Batch   1790, Loss  0.865126, Average Loss  0.868948, Time  0.234473
2021-09-22 15:38:16.103910 : Epoch  6, Batch   1791, Loss  0.870941, Average Loss  0.868938, Time  0.234804
2021-09-22 15:38:18.708966 : Epoch  6, Batch   1792, Loss  0.875205, Average Loss  0.868880, Time  0.234788
2021-09-22 15:38:21.310747 : Epoch  6, Batch   1793, Loss  0.872036, Average Loss  0.868770, Time  0.235904
2021-09-22 15:38:23.917464 : Epoch  6, Batch   1794, Loss  0.887404, Average Loss  0.868864, Time  0.234353
2021-09-22 15:38:26.517758 : Epoch  6, Batch   1795, Loss  0.855976, Average Loss  0.868965, Time  0.236668
2021-09-22 15:38:29.122901 : Epoch  6, Batch   1796, Loss  0.878055, Average Loss  0.869009, Time  0.234602
2021-09-22 15:38:31.737842 : Epoch  6, Batch   1797, Loss  0.853995, Average Loss  0.868973, Time  0.235810
2021-09-22 15:38:34.352303 : Epoch  6, Batch   1798, Loss  0.874631, Average Loss  0.868969, Time  0.234640
2021-09-22 15:38:36.967759 : Epoch  6, Batch   1799, Loss  0.875628, Average Loss  0.868975, Time  0.234957
2021-09-22 15:38:39.557716 : Epoch  6, Batch   1800, Loss  0.881054, Average Loss  0.869007, Time  0.235831
2021-09-22 15:38:42.154280 : Epoch  6, Batch   1801, Loss  0.865653, Average Loss  0.869008, Time  0.234157
2021-09-22 15:38:44.761161 : Epoch  6, Batch   1802, Loss  0.865424, Average Loss  0.868868, Time  0.235935
2021-09-22 15:38:47.357068 : Epoch  6, Batch   1803, Loss  0.869380, Average Loss  0.868892, Time  0.235387
2021-09-22 15:38:49.964010 : Epoch  6, Batch   1804, Loss  0.870607, Average Loss  0.868909, Time  0.234905
2021-09-22 15:38:52.577299 : Epoch  6, Batch   1805, Loss  0.866853, Average Loss  0.868849, Time  0.234823
2021-09-22 15:38:55.193485 : Epoch  6, Batch   1806, Loss  0.866912, Average Loss  0.868819, Time  0.235214
2021-09-22 15:38:57.806097 : Epoch  6, Batch   1807, Loss  0.847625, Average Loss  0.868661, Time  0.234756
2021-09-22 15:39:00.420586 : Epoch  6, Batch   1808, Loss  0.857209, Average Loss  0.868548, Time  0.235673
2021-09-22 15:39:03.037834 : Epoch  6, Batch   1809, Loss  0.848541, Average Loss  0.868455, Time  0.234679
2021-09-22 15:39:05.649236 : Epoch  6, Batch   1810, Loss  0.868315, Average Loss  0.868506, Time  0.234685
2021-09-22 15:39:08.298766 : Epoch  6, Batch   1811, Loss  0.874146, Average Loss  0.868597, Time  0.234190
2021-09-22 15:39:10.897737 : Epoch  6, Batch   1812, Loss  0.866186, Average Loss  0.868498, Time  0.235464
2021-09-22 15:39:13.519241 : Epoch  6, Batch   1813, Loss  0.840253, Average Loss  0.868442, Time  0.234124
2021-09-22 15:39:16.116724 : Epoch  6, Batch   1814, Loss  0.861925, Average Loss  0.868397, Time  0.235070
2021-09-22 15:39:18.735829 : Epoch  6, Batch   1815, Loss  0.875404, Average Loss  0.868414, Time  0.234573
2021-09-22 15:39:21.365210 : Epoch  6, Batch   1816, Loss  0.868438, Average Loss  0.868388, Time  0.235810
2021-09-22 15:39:23.970436 : Epoch  6, Batch   1817, Loss  0.879762, Average Loss  0.868444, Time  0.234973
2021-09-22 15:39:26.579042 : Epoch  6, Batch   1818, Loss  0.872934, Average Loss  0.868514, Time  0.235764
2021-09-22 15:39:29.196775 : Epoch  6, Batch   1819, Loss  0.867790, Average Loss  0.868498, Time  0.234581
2021-09-22 15:39:31.820131 : Epoch  6, Batch   1820, Loss  0.874815, Average Loss  0.868523, Time  0.235339
2021-09-22 15:43:32.876760 : CheckPoint: Validation Loss  0.00030154, Best Loss  0.00029393
2021-09-22 15:43:35.515969 : Epoch  6, Batch   1821, Loss  0.856620, Average Loss  0.868537, Time  0.236647
2021-09-22 15:43:38.135094 : Epoch  6, Batch   1822, Loss  0.860437, Average Loss  0.868440, Time  0.234875
2021-09-22 15:43:40.747293 : Epoch  6, Batch   1823, Loss  0.866707, Average Loss  0.868525, Time  0.236068
2021-09-22 15:43:43.411931 : Epoch  6, Batch   1824, Loss  0.877997, Average Loss  0.868698, Time  0.235447
2021-09-22 15:43:46.032006 : Epoch  6, Batch   1825, Loss  0.857024, Average Loss  0.868663, Time  0.234600
2021-09-22 15:43:48.657867 : Epoch  6, Batch   1826, Loss  0.891766, Average Loss  0.868828, Time  0.245856
2021-09-22 15:43:51.340352 : Epoch  6, Batch   1827, Loss  0.871097, Average Loss  0.868763, Time  0.234824
2021-09-22 15:43:53.967076 : Epoch  6, Batch   1828, Loss  0.870784, Average Loss  0.868806, Time  0.235735
2021-09-22 15:43:56.592920 : Epoch  6, Batch   1829, Loss  0.887565, Average Loss  0.868935, Time  0.234993
2021-09-22 15:43:59.208515 : Epoch  6, Batch   1830, Loss  0.879119, Average Loss  0.869006, Time  0.234817
2021-09-22 15:44:01.824210 : Epoch  6, Batch   1831, Loss  0.878867, Average Loss  0.868969, Time  0.235119
2021-09-22 15:44:04.479516 : Epoch  6, Batch   1832, Loss  0.889663, Average Loss  0.869134, Time  0.237533
2021-09-22 15:44:07.161842 : Epoch  6, Batch   1833, Loss  0.861379, Average Loss  0.869106, Time  0.236227
2021-09-22 15:44:09.867980 : Epoch  6, Batch   1834, Loss  0.843871, Average Loss  0.868866, Time  0.248815
2021-09-22 15:44:12.493836 : Epoch  6, Batch   1835, Loss  0.886953, Average Loss  0.868973, Time  0.235606
2021-09-22 15:44:15.110192 : Epoch  6, Batch   1836, Loss  0.866430, Average Loss  0.868973, Time  0.236286
2021-09-22 15:44:17.727283 : Epoch  6, Batch   1837, Loss  0.871427, Average Loss  0.868986, Time  0.234996
2021-09-22 15:44:20.342892 : Epoch  6, Batch   1838, Loss  0.892539, Average Loss  0.869021, Time  0.234139
2021-09-22 15:44:22.958972 : Epoch  6, Batch   1839, Loss  0.866065, Average Loss  0.868936, Time  0.239709
2021-09-22 15:44:25.740299 : Epoch  6, Batch   1840, Loss  0.867557, Average Loss  0.868901, Time  0.234567
2021-09-22 15:44:28.500490 : Epoch  6, Batch   1841, Loss  0.847878, Average Loss  0.868780, Time  0.235870
2021-09-22 15:44:31.117240 : Epoch  6, Batch   1842, Loss  0.857278, Average Loss  0.868726, Time  0.235210
2021-09-22 15:44:33.725901 : Epoch  6, Batch   1843, Loss  0.872888, Average Loss  0.868761, Time  0.234812
2021-09-22 15:44:36.355023 : Epoch  6, Batch   1844, Loss  0.866735, Average Loss  0.868683, Time  0.236330
2021-09-22 15:44:39.058950 : Epoch  6, Batch   1845, Loss  0.880390, Average Loss  0.868754, Time  0.237959
2021-09-22 15:44:41.685246 : Epoch  6, Batch   1846, Loss  0.868574, Average Loss  0.868683, Time  0.235785
2021-09-22 15:44:44.370313 : Epoch  6, Batch   1847, Loss  0.865781, Average Loss  0.868747, Time  0.235822
2021-09-22 15:44:46.997255 : Epoch  6, Batch   1848, Loss  0.843528, Average Loss  0.868572, Time  0.238635
2021-09-22 15:44:49.605575 : Epoch  6, Batch   1849, Loss  0.857152, Average Loss  0.868490, Time  0.234798
2021-09-22 15:44:52.227758 : Epoch  6, Batch   1850, Loss  0.880861, Average Loss  0.868473, Time  0.236858
2021-09-22 15:44:54.840272 : Epoch  6, Batch   1851, Loss  0.881999, Average Loss  0.868546, Time  0.234250
2021-09-22 15:44:57.450837 : Epoch  6, Batch   1852, Loss  0.881353, Average Loss  0.868576, Time  0.234452
2021-09-22 15:45:00.119794 : Epoch  6, Batch   1853, Loss  0.834189, Average Loss  0.868356, Time  0.254600
2021-09-22 15:45:02.890358 : Epoch  6, Batch   1854, Loss  0.889306, Average Loss  0.868509, Time  0.240165
2021-09-22 15:45:05.505261 : Epoch  6, Batch   1855, Loss  0.864181, Average Loss  0.868481, Time  0.240718
2021-09-22 15:45:08.113049 : Epoch  6, Batch   1856, Loss  0.850311, Average Loss  0.868310, Time  0.235961
2021-09-22 15:45:08.149578 : Saving Model after 6-th Epoch.
2021-09-22 15:45:08.873743 : Epoch Finished.
2021-09-22 15:45:15.753628 : Batch Shuffled
2021-09-22 15:45:18.476723 : Epoch  7, Batch      1, Loss  0.857109, Average Loss  0.868134, Time  0.268998
2021-09-22 15:45:21.210830 : Epoch  7, Batch      2, Loss  0.857185, Average Loss  0.868096, Time  0.250002
2021-09-22 15:45:23.824900 : Epoch  7, Batch      3, Loss  0.864949, Average Loss  0.868006, Time  0.234705
2021-09-22 15:45:26.444253 : Epoch  7, Batch      4, Loss  0.855244, Average Loss  0.867884, Time  0.234974
2021-09-22 15:45:29.048437 : Epoch  7, Batch      5, Loss  0.890313, Average Loss  0.867933, Time  0.235414
2021-09-22 15:45:31.644937 : Epoch  7, Batch      6, Loss  0.862067, Average Loss  0.867913, Time  0.235088
2021-09-22 15:45:34.773306 : Epoch  7, Batch      7, Loss  0.875148, Average Loss  0.867961, Time  0.234949
2021-09-22 15:45:37.453629 : Epoch  7, Batch      8, Loss  0.864519, Average Loss  0.868090, Time  0.239897
2021-09-22 15:45:40.073783 : Epoch  7, Batch      9, Loss  0.854249, Average Loss  0.868048, Time  0.234634
2021-09-22 15:45:42.703773 : Epoch  7, Batch     10, Loss  0.865541, Average Loss  0.868113, Time  0.235952
2021-09-22 15:45:45.320254 : Epoch  7, Batch     11, Loss  0.876364, Average Loss  0.868082, Time  0.235068
2021-09-22 15:45:47.959936 : Epoch  7, Batch     12, Loss  0.864423, Average Loss  0.868223, Time  0.234981
2021-09-22 15:45:50.569066 : Epoch  7, Batch     13, Loss  0.879276, Average Loss  0.868179, Time  0.238584
2021-09-22 15:45:53.220288 : Epoch  7, Batch     14, Loss  0.880076, Average Loss  0.868186, Time  0.237781
2021-09-22 15:45:55.842359 : Epoch  7, Batch     15, Loss  0.877616, Average Loss  0.868149, Time  0.237279
2021-09-22 15:45:58.435254 : Epoch  7, Batch     16, Loss  0.866371, Average Loss  0.868216, Time  0.235828
2021-09-22 15:46:01.037231 : Epoch  7, Batch     17, Loss  0.851713, Average Loss  0.868128, Time  0.234234
2021-09-22 15:46:03.633066 : Epoch  7, Batch     18, Loss  0.850387, Average Loss  0.867948, Time  0.234602
2021-09-22 15:46:06.256264 : Epoch  7, Batch     19, Loss  0.871400, Average Loss  0.868076, Time  0.234391
2021-09-22 15:46:08.911300 : Epoch  7, Batch     20, Loss  0.901234, Average Loss  0.868196, Time  0.240024
2021-09-22 15:46:11.613356 : Epoch  7, Batch     21, Loss  0.858401, Average Loss  0.867958, Time  0.235563
2021-09-22 15:46:14.227829 : Epoch  7, Batch     22, Loss  0.864402, Average Loss  0.868077, Time  0.236848
2021-09-22 15:46:16.851634 : Epoch  7, Batch     23, Loss  0.867958, Average Loss  0.868104, Time  0.235686
2021-09-22 15:46:19.471951 : Epoch  7, Batch     24, Loss  0.867291, Average Loss  0.868178, Time  0.235523
2021-09-22 15:46:22.120474 : Epoch  7, Batch     25, Loss  0.858855, Average Loss  0.868165, Time  0.235933
2021-09-22 15:46:24.718448 : Epoch  7, Batch     26, Loss  0.846411, Average Loss  0.868180, Time  0.234828
2021-09-22 15:46:27.403316 : Epoch  7, Batch     27, Loss  0.864922, Average Loss  0.868170, Time  0.246227
2021-09-22 15:46:30.024831 : Epoch  7, Batch     28, Loss  0.856013, Average Loss  0.868011, Time  0.237576
2021-09-22 15:46:32.645106 : Epoch  7, Batch     29, Loss  0.888674, Average Loss  0.868067, Time  0.234920
2021-09-22 15:46:35.262301 : Epoch  7, Batch     30, Loss  0.870355, Average Loss  0.868060, Time  0.235580
2021-09-22 15:46:37.857794 : Epoch  7, Batch     31, Loss  0.854051, Average Loss  0.867966, Time  0.235101
2021-09-22 15:46:40.479618 : Epoch  7, Batch     32, Loss  0.871885, Average Loss  0.867854, Time  0.238048
2021-09-22 15:46:43.116147 : Epoch  7, Batch     33, Loss  0.865876, Average Loss  0.867793, Time  0.234929
2021-09-22 15:46:45.751933 : Epoch  7, Batch     34, Loss  0.853346, Average Loss  0.867657, Time  0.235631
2021-09-22 15:46:48.407905 : Epoch  7, Batch     35, Loss  0.871110, Average Loss  0.867572, Time  0.235863
2021-09-22 15:46:51.088817 : Epoch  7, Batch     36, Loss  0.878321, Average Loss  0.867489, Time  0.235083
2021-09-22 15:46:53.702934 : Epoch  7, Batch     37, Loss  0.890617, Average Loss  0.867572, Time  0.235404
2021-09-22 15:46:56.306325 : Epoch  7, Batch     38, Loss  0.880861, Average Loss  0.867674, Time  0.235241
2021-09-22 15:46:58.918081 : Epoch  7, Batch     39, Loss  0.856411, Average Loss  0.867607, Time  0.234693
2021-09-22 15:47:01.702285 : Epoch  7, Batch     40, Loss  0.873873, Average Loss  0.867527, Time  0.241598
2021-09-22 15:47:04.328262 : Epoch  7, Batch     41, Loss  0.868991, Average Loss  0.867661, Time  0.234883
2021-09-22 15:47:06.928010 : Epoch  7, Batch     42, Loss  0.883495, Average Loss  0.867711, Time  0.234964
2021-09-22 15:47:09.531276 : Epoch  7, Batch     43, Loss  0.868336, Average Loss  0.867649, Time  0.235362
2021-09-22 15:47:12.351941 : Epoch  7, Batch     44, Loss  0.861132, Average Loss  0.867563, Time  0.237986
2021-09-22 15:47:14.959920 : Epoch  7, Batch     45, Loss  0.874945, Average Loss  0.867587, Time  0.234897
2021-09-22 15:47:17.570810 : Epoch  7, Batch     46, Loss  0.869578, Average Loss  0.867601, Time  0.236261
2021-09-22 15:47:20.201783 : Epoch  7, Batch     47, Loss  0.855422, Average Loss  0.867572, Time  0.234849
2021-09-22 15:47:22.810565 : Epoch  7, Batch     48, Loss  0.889893, Average Loss  0.867820, Time  0.237392
2021-09-22 15:47:25.484954 : Epoch  7, Batch     49, Loss  0.872305, Average Loss  0.867960, Time  0.234979
2021-09-22 15:47:28.122564 : Epoch  7, Batch     50, Loss  0.853086, Average Loss  0.867934, Time  0.235759
2021-09-22 15:47:30.747836 : Epoch  7, Batch     51, Loss  0.864265, Average Loss  0.867938, Time  0.235086
2021-09-22 15:47:33.364555 : Epoch  7, Batch     52, Loss  0.866286, Average Loss  0.867902, Time  0.234863
2021-09-22 15:47:36.042254 : Epoch  7, Batch     53, Loss  0.874055, Average Loss  0.867873, Time  0.234814
2021-09-22 15:47:38.641563 : Epoch  7, Batch     54, Loss  0.880690, Average Loss  0.868036, Time  0.235342
2021-09-22 15:47:41.220579 : Epoch  7, Batch     55, Loss  0.879143, Average Loss  0.868158, Time  0.234971
2021-09-22 15:47:43.875843 : Epoch  7, Batch     56, Loss  0.882532, Average Loss  0.868179, Time  0.238950
2021-09-22 15:47:46.490307 : Epoch  7, Batch     57, Loss  0.862476, Average Loss  0.868106, Time  0.234188
2021-09-22 15:47:49.109835 : Epoch  7, Batch     58, Loss  0.878871, Average Loss  0.868017, Time  0.234912
2021-09-22 15:47:51.764868 : Epoch  7, Batch     59, Loss  0.878570, Average Loss  0.868100, Time  0.234709
2021-09-22 15:47:54.422699 : Epoch  7, Batch     60, Loss  0.853555, Average Loss  0.867992, Time  0.244376
2021-09-22 15:47:57.089782 : Epoch  7, Batch     61, Loss  0.862299, Average Loss  0.867978, Time  0.234733
2021-09-22 15:47:59.694791 : Epoch  7, Batch     62, Loss  0.848953, Average Loss  0.867869, Time  0.235428
2021-09-22 15:48:02.299831 : Epoch  7, Batch     63, Loss  0.862272, Average Loss  0.867870, Time  0.235131
2021-09-22 15:48:04.973603 : Epoch  7, Batch     64, Loss  0.861266, Average Loss  0.867865, Time  0.235208
2021-09-22 15:52:08.535714 : CheckPoint: Validation Loss  0.00031038, Best Loss  0.00029393
2021-09-22 15:52:11.139321 : Epoch  7, Batch     65, Loss  0.871992, Average Loss  0.867931, Time  0.237094
2021-09-22 15:52:13.742753 : Epoch  7, Batch     66, Loss  0.860096, Average Loss  0.867882, Time  0.236286
2021-09-22 15:52:16.403865 : Epoch  7, Batch     67, Loss  0.892069, Average Loss  0.868018, Time  0.233944
2021-09-22 15:52:19.037792 : Epoch  7, Batch     68, Loss  0.859614, Average Loss  0.867961, Time  0.237491
2021-09-22 15:52:21.658906 : Epoch  7, Batch     69, Loss  0.881038, Average Loss  0.867927, Time  0.234857
2021-09-22 15:52:24.255250 : Epoch  7, Batch     70, Loss  0.863141, Average Loss  0.867954, Time  0.235000
2021-09-22 15:52:26.890242 : Epoch  7, Batch     71, Loss  0.864596, Average Loss  0.867995, Time  0.234350
2021-09-22 15:52:29.503442 : Epoch  7, Batch     72, Loss  0.873894, Average Loss  0.868027, Time  0.239079
2021-09-22 15:52:32.125217 : Epoch  7, Batch     73, Loss  0.896687, Average Loss  0.868146, Time  0.234184
2021-09-22 15:52:34.746284 : Epoch  7, Batch     74, Loss  0.851757, Average Loss  0.868049, Time  0.234277
2021-09-22 15:52:37.351210 : Epoch  7, Batch     75, Loss  0.871911, Average Loss  0.868035, Time  0.234772
2021-09-22 15:52:39.950162 : Epoch  7, Batch     76, Loss  0.840330, Average Loss  0.867946, Time  0.234946
2021-09-22 15:52:42.583673 : Epoch  7, Batch     77, Loss  0.887558, Average Loss  0.868012, Time  0.236441
2021-09-22 15:52:45.199267 : Epoch  7, Batch     78, Loss  0.846916, Average Loss  0.868048, Time  0.234354
2021-09-22 15:52:47.806237 : Epoch  7, Batch     79, Loss  0.882623, Average Loss  0.868047, Time  0.235008
2021-09-22 15:52:50.392366 : Epoch  7, Batch     80, Loss  0.865559, Average Loss  0.868071, Time  0.234583
2021-09-22 15:52:53.013783 : Epoch  7, Batch     81, Loss  0.854235, Average Loss  0.867862, Time  0.234005
2021-09-22 15:52:55.632257 : Epoch  7, Batch     82, Loss  0.877378, Average Loss  0.867890, Time  0.236021
2021-09-22 15:52:58.263894 : Epoch  7, Batch     83, Loss  0.856942, Average Loss  0.867853, Time  0.234802
2021-09-22 15:53:00.877983 : Epoch  7, Batch     84, Loss  0.857794, Average Loss  0.867924, Time  0.235926
2021-09-22 15:53:03.480671 : Epoch  7, Batch     85, Loss  0.879267, Average Loss  0.867882, Time  0.235323
2021-09-22 15:53:06.085255 : Epoch  7, Batch     86, Loss  0.864809, Average Loss  0.867875, Time  0.235199
2021-09-22 15:53:08.688218 : Epoch  7, Batch     87, Loss  0.879921, Average Loss  0.868018, Time  0.234092
2021-09-22 15:53:11.301836 : Epoch  7, Batch     88, Loss  0.869796, Average Loss  0.867965, Time  0.234741
2021-09-22 15:53:13.905902 : Epoch  7, Batch     89, Loss  0.873045, Average Loss  0.868055, Time  0.234810
2021-09-22 15:53:16.585342 : Epoch  7, Batch     90, Loss  0.888174, Average Loss  0.868104, Time  0.235123
2021-09-22 15:53:19.239274 : Epoch  7, Batch     91, Loss  0.879198, Average Loss  0.868265, Time  0.236603
2021-09-22 15:53:21.865148 : Epoch  7, Batch     92, Loss  0.857235, Average Loss  0.868212, Time  0.234848
2021-09-22 15:53:24.485766 : Epoch  7, Batch     93, Loss  0.866762, Average Loss  0.868277, Time  0.235059
2021-09-22 15:53:27.105249 : Epoch  7, Batch     94, Loss  0.875040, Average Loss  0.868294, Time  0.234815
2021-09-22 15:53:29.714350 : Epoch  7, Batch     95, Loss  0.877300, Average Loss  0.868383, Time  0.234924
2021-09-22 15:53:32.325870 : Epoch  7, Batch     96, Loss  0.850127, Average Loss  0.868268, Time  0.234929
2021-09-22 15:53:34.926221 : Epoch  7, Batch     97, Loss  0.871694, Average Loss  0.868274, Time  0.234428
2021-09-22 15:53:37.536281 : Epoch  7, Batch     98, Loss  0.853839, Average Loss  0.868171, Time  0.234241
2021-09-22 15:53:40.134246 : Epoch  7, Batch     99, Loss  0.871621, Average Loss  0.868127, Time  0.234354
2021-09-22 15:53:42.738082 : Epoch  7, Batch    100, Loss  0.872216, Average Loss  0.868148, Time  0.234784
2021-09-22 15:53:45.347242 : Epoch  7, Batch    101, Loss  0.877338, Average Loss  0.868106, Time  0.233963
2021-09-22 15:53:47.927219 : Epoch  7, Batch    102, Loss  0.887107, Average Loss  0.868238, Time  0.234078
2021-09-22 15:53:50.529612 : Epoch  7, Batch    103, Loss  0.860716, Average Loss  0.868167, Time  0.234761
2021-09-22 15:53:53.152919 : Epoch  7, Batch    104, Loss  0.888889, Average Loss  0.868245, Time  0.234698
2021-09-22 15:53:55.738863 : Epoch  7, Batch    105, Loss  0.855087, Average Loss  0.868170, Time  0.233988
2021-09-22 15:53:58.351318 : Epoch  7, Batch    106, Loss  0.871525, Average Loss  0.868203, Time  0.234647
2021-09-22 15:54:00.955212 : Epoch  7, Batch    107, Loss  0.863590, Average Loss  0.868131, Time  0.235301
2021-09-22 15:54:03.554283 : Epoch  7, Batch    108, Loss  0.877875, Average Loss  0.868203, Time  0.234777
2021-09-22 15:54:06.177331 : Epoch  7, Batch    109, Loss  0.881760, Average Loss  0.868287, Time  0.234865
2021-09-22 15:54:08.786093 : Epoch  7, Batch    110, Loss  0.897056, Average Loss  0.868490, Time  0.235168
2021-09-22 15:54:11.386908 : Epoch  7, Batch    111, Loss  0.874385, Average Loss  0.868533, Time  0.235189
2021-09-22 15:54:13.991721 : Epoch  7, Batch    112, Loss  0.855835, Average Loss  0.868648, Time  0.235056
2021-09-22 15:54:16.641337 : Epoch  7, Batch    113, Loss  0.870185, Average Loss  0.868604, Time  0.240181
2021-09-22 15:54:19.256250 : Epoch  7, Batch    114, Loss  0.863130, Average Loss  0.868461, Time  0.234946
2021-09-22 15:54:21.884806 : Epoch  7, Batch    115, Loss  0.869802, Average Loss  0.868422, Time  0.235173
2021-09-22 15:54:24.496741 : Epoch  7, Batch    116, Loss  0.847716, Average Loss  0.868325, Time  0.234993
2021-09-22 15:54:27.098369 : Epoch  7, Batch    117, Loss  0.877349, Average Loss  0.868400, Time  0.234718
2021-09-22 15:54:29.702860 : Epoch  7, Batch    118, Loss  0.861270, Average Loss  0.868389, Time  0.234825
2021-09-22 15:54:32.316733 : Epoch  7, Batch    119, Loss  0.878706, Average Loss  0.868531, Time  0.234234
2021-09-22 15:54:34.958244 : Epoch  7, Batch    120, Loss  0.869166, Average Loss  0.868670, Time  0.235263
2021-09-22 15:54:37.580665 : Epoch  7, Batch    121, Loss  0.862744, Average Loss  0.868545, Time  0.234476
2021-09-22 15:54:40.210254 : Epoch  7, Batch    122, Loss  0.892112, Average Loss  0.868709, Time  0.234525
2021-09-22 15:54:42.853449 : Epoch  7, Batch    123, Loss  0.853582, Average Loss  0.868643, Time  0.237489
2021-09-22 15:54:45.470212 : Epoch  7, Batch    124, Loss  0.869617, Average Loss  0.868710, Time  0.234481
2021-09-22 15:54:48.070219 : Epoch  7, Batch    125, Loss  0.876141, Average Loss  0.868770, Time  0.234281
2021-09-22 15:54:50.679970 : Epoch  7, Batch    126, Loss  0.878663, Average Loss  0.868718, Time  0.235262
2021-09-22 15:54:53.284482 : Epoch  7, Batch    127, Loss  0.879046, Average Loss  0.868630, Time  0.234205
2021-09-22 15:54:55.907847 : Epoch  7, Batch    128, Loss  0.857394, Average Loss  0.868679, Time  0.235041
2021-09-22 15:54:58.517766 : Epoch  7, Batch    129, Loss  0.846423, Average Loss  0.868612, Time  0.234066
2021-09-22 15:55:01.130099 : Epoch  7, Batch    130, Loss  0.859271, Average Loss  0.868666, Time  0.236258
2021-09-22 15:55:03.739667 : Epoch  7, Batch    131, Loss  0.844320, Average Loss  0.868654, Time  0.234746
2021-09-22 15:55:06.365312 : Epoch  7, Batch    132, Loss  0.866632, Average Loss  0.868626, Time  0.235087
2021-09-22 15:55:08.992101 : Epoch  7, Batch    133, Loss  0.873500, Average Loss  0.868579, Time  0.235238
2021-09-22 15:55:11.604855 : Epoch  7, Batch    134, Loss  0.880449, Average Loss  0.868656, Time  0.234831
2021-09-22 15:55:14.200912 : Epoch  7, Batch    135, Loss  0.879352, Average Loss  0.868698, Time  0.235511
2021-09-22 15:55:16.825238 : Epoch  7, Batch    136, Loss  0.860584, Average Loss  0.868625, Time  0.235060
2021-09-22 15:55:19.452263 : Epoch  7, Batch    137, Loss  0.884936, Average Loss  0.868689, Time  0.235385
2021-09-22 15:55:22.070774 : Epoch  7, Batch    138, Loss  0.864871, Average Loss  0.868577, Time  0.235154
2021-09-22 15:55:24.694219 : Epoch  7, Batch    139, Loss  0.876694, Average Loss  0.868680, Time  0.235699
2021-09-22 15:55:27.299886 : Epoch  7, Batch    140, Loss  0.894901, Average Loss  0.868764, Time  0.234420
2021-09-22 15:55:29.928774 : Epoch  7, Batch    141, Loss  0.868290, Average Loss  0.868836, Time  0.236420
2021-09-22 15:55:32.556759 : Epoch  7, Batch    142, Loss  0.867482, Average Loss  0.868800, Time  0.237058
2021-09-22 15:55:35.173783 : Epoch  7, Batch    143, Loss  0.849472, Average Loss  0.868669, Time  0.234276
2021-09-22 15:55:37.775245 : Epoch  7, Batch    144, Loss  0.870202, Average Loss  0.868615, Time  0.234274
2021-09-22 15:55:40.381969 : Epoch  7, Batch    145, Loss  0.880202, Average Loss  0.868688, Time  0.235270
2021-09-22 15:55:42.981239 : Epoch  7, Batch    146, Loss  0.858164, Average Loss  0.868652, Time  0.234485
2021-09-22 15:55:45.584986 : Epoch  7, Batch    147, Loss  0.868128, Average Loss  0.868645, Time  0.234329
2021-09-22 15:55:48.229290 : Epoch  7, Batch    148, Loss  0.866449, Average Loss  0.868624, Time  0.234825
2021-09-22 15:55:50.877932 : Epoch  7, Batch    149, Loss  0.871814, Average Loss  0.868649, Time  0.235174
2021-09-22 15:55:53.480751 : Epoch  7, Batch    150, Loss  0.846771, Average Loss  0.868549, Time  0.234669
2021-09-22 15:55:56.085748 : Epoch  7, Batch    151, Loss  0.857788, Average Loss  0.868599, Time  0.234582
2021-09-22 15:55:58.672863 : Epoch  7, Batch    152, Loss  0.863702, Average Loss  0.868632, Time  0.234953
2021-09-22 15:56:01.275566 : Epoch  7, Batch    153, Loss  0.868219, Average Loss  0.868730, Time  0.234163
2021-09-22 15:56:03.884034 : Epoch  7, Batch    154, Loss  0.868730, Average Loss  0.868732, Time  0.234823
2021-09-22 15:56:06.514777 : Epoch  7, Batch    155, Loss  0.838357, Average Loss  0.868553, Time  0.235777
2021-09-22 15:56:09.122823 : Epoch  7, Batch    156, Loss  0.876949, Average Loss  0.868607, Time  0.234693
2021-09-22 15:56:11.739792 : Epoch  7, Batch    157, Loss  0.881006, Average Loss  0.868811, Time  0.234958
2021-09-22 15:56:14.343202 : Epoch  7, Batch    158, Loss  0.901884, Average Loss  0.869011, Time  0.234295
2021-09-22 15:56:16.956754 : Epoch  7, Batch    159, Loss  0.854780, Average Loss  0.868908, Time  0.234782
2021-09-22 15:56:19.567982 : Epoch  7, Batch    160, Loss  0.867087, Average Loss  0.868901, Time  0.234932
2021-09-22 15:56:22.171766 : Epoch  7, Batch    161, Loss  0.863757, Average Loss  0.868821, Time  0.234364
2021-09-22 15:56:24.789705 : Epoch  7, Batch    162, Loss  0.872721, Average Loss  0.868820, Time  0.235669
2021-09-22 15:56:27.421245 : Epoch  7, Batch    163, Loss  0.877607, Average Loss  0.868869, Time  0.234799
2021-09-22 15:56:30.081915 : Epoch  7, Batch    164, Loss  0.871271, Average Loss  0.868851, Time  0.234187
2021-09-22 16:00:31.127564 : CheckPoint: Validation Loss  0.00031061, Best Loss  0.00029393
2021-09-22 16:00:33.852896 : Epoch  7, Batch    165, Loss  0.861588, Average Loss  0.868876, Time  0.266432
2021-09-22 16:00:36.506398 : Epoch  7, Batch    166, Loss  0.891163, Average Loss  0.869030, Time  0.254561
2021-09-22 16:00:39.139754 : Epoch  7, Batch    167, Loss  0.850374, Average Loss  0.868948, Time  0.235220
2021-09-22 16:00:41.775196 : Epoch  7, Batch    168, Loss  0.845529, Average Loss  0.868786, Time  0.234626
2021-09-22 16:00:44.391830 : Epoch  7, Batch    169, Loss  0.870922, Average Loss  0.868855, Time  0.234288
2021-09-22 16:00:47.030963 : Epoch  7, Batch    170, Loss  0.870875, Average Loss  0.868751, Time  0.234564
2021-09-22 16:00:49.646857 : Epoch  7, Batch    171, Loss  0.864063, Average Loss  0.868715, Time  0.234056
2021-09-22 16:00:52.277274 : Epoch  7, Batch    172, Loss  0.870525, Average Loss  0.868714, Time  0.236281
2021-09-22 16:00:54.902836 : Epoch  7, Batch    173, Loss  0.850542, Average Loss  0.868529, Time  0.235165
2021-09-22 16:00:57.508258 : Epoch  7, Batch    174, Loss  0.869643, Average Loss  0.868482, Time  0.235822
2021-09-22 16:01:00.128977 : Epoch  7, Batch    175, Loss  0.850599, Average Loss  0.868340, Time  0.234569
2021-09-22 16:01:02.739026 : Epoch  7, Batch    176, Loss  0.859017, Average Loss  0.868187, Time  0.234097
2021-09-22 16:01:05.341727 : Epoch  7, Batch    177, Loss  0.861513, Average Loss  0.868188, Time  0.234306
2021-09-22 16:01:07.995811 : Epoch  7, Batch    178, Loss  0.870388, Average Loss  0.868320, Time  0.234351
2021-09-22 16:01:10.637194 : Epoch  7, Batch    179, Loss  0.862189, Average Loss  0.868197, Time  0.234079
2021-09-22 16:01:13.245175 : Epoch  7, Batch    180, Loss  0.887313, Average Loss  0.868301, Time  0.234220
2021-09-22 16:01:15.873210 : Epoch  7, Batch    181, Loss  0.865117, Average Loss  0.868269, Time  0.234295
2021-09-22 16:01:18.496836 : Epoch  7, Batch    182, Loss  0.868459, Average Loss  0.868149, Time  0.234211
2021-09-22 16:01:21.118175 : Epoch  7, Batch    183, Loss  0.879647, Average Loss  0.868217, Time  0.241217
2021-09-22 16:01:22.384852 : Epoch  7, Batch    184, Loss  0.890070, Average Loss  0.868330, Time  0.138200
2021-09-22 16:01:24.990021 : Epoch  7, Batch    185, Loss  0.862678, Average Loss  0.868404, Time  0.234328
2021-09-22 16:01:27.588893 : Epoch  7, Batch    186, Loss  0.872982, Average Loss  0.868482, Time  0.234751
2021-09-22 16:01:30.198920 : Epoch  7, Batch    187, Loss  0.866609, Average Loss  0.868451, Time  0.234488
2021-09-22 16:01:32.808825 : Epoch  7, Batch    188, Loss  0.873537, Average Loss  0.868485, Time  0.234158
2021-09-22 16:01:35.417242 : Epoch  7, Batch    189, Loss  0.857427, Average Loss  0.868370, Time  0.234966
2021-09-22 16:01:38.024807 : Epoch  7, Batch    190, Loss  0.873187, Average Loss  0.868393, Time  0.234286
2021-09-22 16:01:40.643212 : Epoch  7, Batch    191, Loss  0.856229, Average Loss  0.868345, Time  0.234117
2021-09-22 16:01:43.245178 : Epoch  7, Batch    192, Loss  0.867902, Average Loss  0.868467, Time  0.234758
2021-09-22 16:01:45.893201 : Epoch  7, Batch    193, Loss  0.853850, Average Loss  0.868450, Time  0.234363
2021-09-22 16:01:48.516238 : Epoch  7, Batch    194, Loss  0.863122, Average Loss  0.868362, Time  0.234039
2021-09-22 16:01:51.129389 : Epoch  7, Batch    195, Loss  0.865765, Average Loss  0.868281, Time  0.234517
2021-09-22 16:01:53.758959 : Epoch  7, Batch    196, Loss  0.873134, Average Loss  0.868240, Time  0.235161
2021-09-22 16:01:56.365230 : Epoch  7, Batch    197, Loss  0.877356, Average Loss  0.868455, Time  0.234262
2021-09-22 16:01:58.993244 : Epoch  7, Batch    198, Loss  0.863941, Average Loss  0.868329, Time  0.234539
2021-09-22 16:02:01.639983 : Epoch  7, Batch    199, Loss  0.866150, Average Loss  0.868338, Time  0.257560
2021-09-22 16:02:04.323433 : Epoch  7, Batch    200, Loss  0.871968, Average Loss  0.868447, Time  0.258442
2021-09-22 16:02:07.056373 : Epoch  7, Batch    201, Loss  0.865334, Average Loss  0.868488, Time  0.255215
2021-09-22 16:02:09.904221 : Epoch  7, Batch    202, Loss  0.858140, Average Loss  0.868493, Time  0.313288
2021-09-22 16:02:12.531508 : Epoch  7, Batch    203, Loss  0.875595, Average Loss  0.868546, Time  0.235665
2021-09-22 16:02:15.141679 : Epoch  7, Batch    204, Loss  0.883801, Average Loss  0.868689, Time  0.236298
2021-09-22 16:02:17.790978 : Epoch  7, Batch    205, Loss  0.882119, Average Loss  0.868648, Time  0.235676
2021-09-22 16:02:20.415489 : Epoch  7, Batch    206, Loss  0.852145, Average Loss  0.868598, Time  0.235465
2021-09-22 16:02:23.074652 : Epoch  7, Batch    207, Loss  0.865480, Average Loss  0.868550, Time  0.237920
2021-09-22 16:02:25.764533 : Epoch  7, Batch    208, Loss  0.890788, Average Loss  0.868681, Time  0.281638
2021-09-22 16:02:28.433430 : Epoch  7, Batch    209, Loss  0.864317, Average Loss  0.868731, Time  0.245775
2021-09-22 16:02:31.054235 : Epoch  7, Batch    210, Loss  0.869082, Average Loss  0.868749, Time  0.233875
2021-09-22 16:02:33.673245 : Epoch  7, Batch    211, Loss  0.860307, Average Loss  0.868669, Time  0.235080
2021-09-22 16:02:36.281335 : Epoch  7, Batch    212, Loss  0.869204, Average Loss  0.868693, Time  0.234130
2021-09-22 16:02:38.887219 : Epoch  7, Batch    213, Loss  0.857404, Average Loss  0.868583, Time  0.234395
2021-09-22 16:02:41.502218 : Epoch  7, Batch    214, Loss  0.864862, Average Loss  0.868507, Time  0.234301
2021-09-22 16:02:44.107445 : Epoch  7, Batch    215, Loss  0.876683, Average Loss  0.868503, Time  0.235847
2021-09-22 16:02:46.720650 : Epoch  7, Batch    216, Loss  0.887981, Average Loss  0.868611, Time  0.234977
2021-09-22 16:02:49.337800 : Epoch  7, Batch    217, Loss  0.862605, Average Loss  0.868665, Time  0.235237
2021-09-22 16:02:51.972903 : Epoch  7, Batch    218, Loss  0.870260, Average Loss  0.868764, Time  0.234704
2021-09-22 16:02:54.574916 : Epoch  7, Batch    219, Loss  0.863273, Average Loss  0.868724, Time  0.234863
2021-09-22 16:02:57.179785 : Epoch  7, Batch    220, Loss  0.857555, Average Loss  0.868505, Time  0.235303
2021-09-22 16:02:59.851212 : Epoch  7, Batch    221, Loss  0.873967, Average Loss  0.868583, Time  0.234208
2021-09-22 16:03:02.466907 : Epoch  7, Batch    222, Loss  0.862012, Average Loss  0.868571, Time  0.235342
2021-09-22 16:03:05.108247 : Epoch  7, Batch    223, Loss  0.854060, Average Loss  0.868502, Time  0.234900
2021-09-22 16:03:07.704906 : Epoch  7, Batch    224, Loss  0.868337, Average Loss  0.868507, Time  0.234730
2021-09-22 16:03:10.305688 : Epoch  7, Batch    225, Loss  0.854847, Average Loss  0.868487, Time  0.234828
2021-09-22 16:03:12.908242 : Epoch  7, Batch    226, Loss  0.884577, Average Loss  0.868678, Time  0.234658
2021-09-22 16:03:15.526597 : Epoch  7, Batch    227, Loss  0.860152, Average Loss  0.868654, Time  0.234538
2021-09-22 16:03:18.121823 : Epoch  7, Batch    228, Loss  0.872805, Average Loss  0.868738, Time  0.234731
2021-09-22 16:03:20.717090 : Epoch  7, Batch    229, Loss  0.875559, Average Loss  0.868672, Time  0.234596
2021-09-22 16:03:23.328845 : Epoch  7, Batch    230, Loss  0.857436, Average Loss  0.868608, Time  0.234974
2021-09-22 16:03:25.940289 : Epoch  7, Batch    231, Loss  0.885828, Average Loss  0.868767, Time  0.235245
2021-09-22 16:03:28.549241 : Epoch  7, Batch    232, Loss  0.859977, Average Loss  0.868707, Time  0.234498
2021-09-22 16:03:31.151805 : Epoch  7, Batch    233, Loss  0.866323, Average Loss  0.868709, Time  0.235392
2021-09-22 16:03:33.780781 : Epoch  7, Batch    234, Loss  0.851563, Average Loss  0.868700, Time  0.234885
2021-09-22 16:03:36.392898 : Epoch  7, Batch    235, Loss  0.848202, Average Loss  0.868586, Time  0.235865
2021-09-22 16:03:38.992846 : Epoch  7, Batch    236, Loss  0.891271, Average Loss  0.868651, Time  0.234954
2021-09-22 16:03:41.602084 : Epoch  7, Batch    237, Loss  0.860027, Average Loss  0.868498, Time  0.234988
2021-09-22 16:03:44.240932 : Epoch  7, Batch    238, Loss  0.864910, Average Loss  0.868418, Time  0.235053
2021-09-22 16:03:46.832927 : Epoch  7, Batch    239, Loss  0.860780, Average Loss  0.868440, Time  0.234102
2021-09-22 16:03:49.437914 : Epoch  7, Batch    240, Loss  0.873242, Average Loss  0.868437, Time  0.234486
2021-09-22 16:03:52.063792 : Epoch  7, Batch    241, Loss  0.867285, Average Loss  0.868428, Time  0.234812
2021-09-22 16:03:54.667807 : Epoch  7, Batch    242, Loss  0.880911, Average Loss  0.868415, Time  0.234358
2021-09-22 16:03:57.253604 : Epoch  7, Batch    243, Loss  0.862667, Average Loss  0.868387, Time  0.234665
2021-09-22 16:03:59.870626 : Epoch  7, Batch    244, Loss  0.879412, Average Loss  0.868478, Time  0.234776
2021-09-22 16:04:02.470441 : Epoch  7, Batch    245, Loss  0.884153, Average Loss  0.868524, Time  0.235144
2021-09-22 16:04:05.074128 : Epoch  7, Batch    246, Loss  0.884331, Average Loss  0.868598, Time  0.234488
2021-09-22 16:04:07.682899 : Epoch  7, Batch    247, Loss  0.864796, Average Loss  0.868645, Time  0.234874
2021-09-22 16:04:10.278933 : Epoch  7, Batch    248, Loss  0.874067, Average Loss  0.868566, Time  0.234576
2021-09-22 16:04:12.902814 : Epoch  7, Batch    249, Loss  0.858845, Average Loss  0.868498, Time  0.234575
2021-09-22 16:04:15.505639 : Epoch  7, Batch    250, Loss  0.860737, Average Loss  0.868537, Time  0.234491
2021-09-22 16:04:18.121827 : Epoch  7, Batch    251, Loss  0.854865, Average Loss  0.868490, Time  0.234826
2021-09-22 16:04:20.714148 : Epoch  7, Batch    252, Loss  0.863035, Average Loss  0.868473, Time  0.234307
2021-09-22 16:04:23.319285 : Epoch  7, Batch    253, Loss  0.857710, Average Loss  0.868392, Time  0.235028
2021-09-22 16:04:25.922249 : Epoch  7, Batch    254, Loss  0.881260, Average Loss  0.868395, Time  0.235311
2021-09-22 16:04:28.537199 : Epoch  7, Batch    255, Loss  0.869836, Average Loss  0.868348, Time  0.234535
2021-09-22 16:04:31.154944 : Epoch  7, Batch    256, Loss  0.868447, Average Loss  0.868278, Time  0.234892
2021-09-22 16:04:33.748934 : Epoch  7, Batch    257, Loss  0.869433, Average Loss  0.868312, Time  0.235090
2021-09-22 16:04:36.355756 : Epoch  7, Batch    258, Loss  0.859254, Average Loss  0.868214, Time  0.235212
2021-09-22 16:04:38.998001 : Epoch  7, Batch    259, Loss  0.861375, Average Loss  0.868128, Time  0.234628
2021-09-22 16:04:41.615202 : Epoch  7, Batch    260, Loss  0.863597, Average Loss  0.868179, Time  0.234279
2021-09-22 16:04:44.228236 : Epoch  7, Batch    261, Loss  0.882201, Average Loss  0.868278, Time  0.234273
2021-09-22 16:04:46.857853 : Epoch  7, Batch    262, Loss  0.855876, Average Loss  0.868313, Time  0.234457
2021-09-22 16:04:49.470246 : Epoch  7, Batch    263, Loss  0.861397, Average Loss  0.868308, Time  0.234416
2021-09-22 16:04:52.075798 : Epoch  7, Batch    264, Loss  0.857107, Average Loss  0.868288, Time  0.234130
2021-09-22 16:08:53.426748 : CheckPoint: Validation Loss  0.00031511, Best Loss  0.00029393
2021-09-22 16:08:56.058770 : Epoch  7, Batch    265, Loss  0.858041, Average Loss  0.868218, Time  0.263243
2021-09-22 16:08:58.686028 : Epoch  7, Batch    266, Loss  0.870358, Average Loss  0.868269, Time  0.239341
2021-09-22 16:09:01.372214 : Epoch  7, Batch    267, Loss  0.893703, Average Loss  0.868277, Time  0.264190
2021-09-22 16:09:03.985154 : Epoch  7, Batch    268, Loss  0.874030, Average Loss  0.868349, Time  0.235761
2021-09-22 16:09:06.606785 : Epoch  7, Batch    269, Loss  0.879780, Average Loss  0.868343, Time  0.235168
2021-09-22 16:09:09.232249 : Epoch  7, Batch    270, Loss  0.861186, Average Loss  0.868333, Time  0.234097
2021-09-22 16:09:11.896254 : Epoch  7, Batch    271, Loss  0.873691, Average Loss  0.868379, Time  0.234335
2021-09-22 16:09:14.522927 : Epoch  7, Batch    272, Loss  0.857769, Average Loss  0.868298, Time  0.234857
2021-09-22 16:09:17.131249 : Epoch  7, Batch    273, Loss  0.863694, Average Loss  0.868133, Time  0.235413
2021-09-22 16:09:19.764818 : Epoch  7, Batch    274, Loss  0.884179, Average Loss  0.868295, Time  0.234408
2021-09-22 16:09:22.380990 : Epoch  7, Batch    275, Loss  0.907858, Average Loss  0.868475, Time  0.235073
2021-09-22 16:09:25.018090 : Epoch  7, Batch    276, Loss  0.864717, Average Loss  0.868597, Time  0.234327
2021-09-22 16:09:27.643755 : Epoch  7, Batch    277, Loss  0.880975, Average Loss  0.868564, Time  0.234539
2021-09-22 16:09:30.261681 : Epoch  7, Batch    278, Loss  0.877542, Average Loss  0.868717, Time  0.234267
2021-09-22 16:09:32.893345 : Epoch  7, Batch    279, Loss  0.859765, Average Loss  0.868603, Time  0.234779
2021-09-22 16:09:35.515029 : Epoch  7, Batch    280, Loss  0.872460, Average Loss  0.868637, Time  0.234370
2021-09-22 16:09:38.126238 : Epoch  7, Batch    281, Loss  0.889176, Average Loss  0.868812, Time  0.234374
2021-09-22 16:09:40.734642 : Epoch  7, Batch    282, Loss  0.868789, Average Loss  0.868769, Time  0.234988
2021-09-22 16:09:43.342238 : Epoch  7, Batch    283, Loss  0.867650, Average Loss  0.868823, Time  0.235479
2021-09-22 16:09:45.993228 : Epoch  7, Batch    284, Loss  0.849502, Average Loss  0.868781, Time  0.235394
2021-09-22 16:09:48.626919 : Epoch  7, Batch    285, Loss  0.880698, Average Loss  0.868788, Time  0.234696
2021-09-22 16:09:51.228173 : Epoch  7, Batch    286, Loss  0.874429, Average Loss  0.868836, Time  0.234389
2021-09-22 16:09:53.868765 : Epoch  7, Batch    287, Loss  0.877711, Average Loss  0.868825, Time  0.234960
2021-09-22 16:09:56.462772 : Epoch  7, Batch    288, Loss  0.876589, Average Loss  0.868859, Time  0.234623
2021-09-22 16:09:59.074612 : Epoch  7, Batch    289, Loss  0.869737, Average Loss  0.868843, Time  0.235265
2021-09-22 16:10:01.718694 : Epoch  7, Batch    290, Loss  0.877074, Average Loss  0.868787, Time  0.242044
2021-09-22 16:10:04.353358 : Epoch  7, Batch    291, Loss  0.870121, Average Loss  0.868742, Time  0.234360
2021-09-22 16:10:06.874753 : Epoch  7, Batch    292, Loss  0.875462, Average Loss  0.868833, Time  0.233827
2021-09-22 16:10:09.490661 : Epoch  7, Batch    293, Loss  0.886462, Average Loss  0.868932, Time  0.236012
2021-09-22 16:10:12.119484 : Epoch  7, Batch    294, Loss  0.872155, Average Loss  0.868917, Time  0.234847
2021-09-22 16:10:14.745696 : Epoch  7, Batch    295, Loss  0.887105, Average Loss  0.868966, Time  0.234573
2021-09-22 16:10:17.380223 : Epoch  7, Batch    296, Loss  0.845336, Average Loss  0.868942, Time  0.234365
2021-09-22 16:10:19.989484 : Epoch  7, Batch    297, Loss  0.882910, Average Loss  0.868998, Time  0.234541
2021-09-22 16:10:22.589667 : Epoch  7, Batch    298, Loss  0.874344, Average Loss  0.869101, Time  0.235688
2021-09-22 16:10:25.191726 : Epoch  7, Batch    299, Loss  0.856085, Average Loss  0.869023, Time  0.234360
2021-09-22 16:10:27.710172 : Epoch  7, Batch    300, Loss  0.858694, Average Loss  0.868956, Time  0.233082
2021-09-22 16:10:30.260690 : Epoch  7, Batch    301, Loss  0.899001, Average Loss  0.869064, Time  0.234034
2021-09-22 16:10:32.845179 : Epoch  7, Batch    302, Loss  0.866559, Average Loss  0.868961, Time  0.234455
2021-09-22 16:10:35.448759 : Epoch  7, Batch    303, Loss  0.866151, Average Loss  0.868988, Time  0.234379
2021-09-22 16:10:38.044007 : Epoch  7, Batch    304, Loss  0.870420, Average Loss  0.868896, Time  0.234308
2021-09-22 16:10:40.645874 : Epoch  7, Batch    305, Loss  0.865156, Average Loss  0.868946, Time  0.234737
2021-09-22 16:10:43.257222 : Epoch  7, Batch    306, Loss  0.882835, Average Loss  0.869003, Time  0.234029
2021-09-22 16:10:45.861292 : Epoch  7, Batch    307, Loss  0.877068, Average Loss  0.869070, Time  0.234302
2021-09-22 16:10:48.459217 : Epoch  7, Batch    308, Loss  0.880856, Average Loss  0.869085, Time  0.234102
2021-09-22 16:10:51.056193 : Epoch  7, Batch    309, Loss  0.876166, Average Loss  0.869057, Time  0.234128
2021-09-22 16:10:53.654249 : Epoch  7, Batch    310, Loss  0.888816, Average Loss  0.869016, Time  0.234086
2021-09-22 16:10:56.243917 : Epoch  7, Batch    311, Loss  0.855993, Average Loss  0.868924, Time  0.235233
2021-09-22 16:10:58.829456 : Epoch  7, Batch    312, Loss  0.875700, Average Loss  0.869023, Time  0.234307
2021-09-22 16:11:01.432215 : Epoch  7, Batch    313, Loss  0.877524, Average Loss  0.869060, Time  0.234962
2021-09-22 16:11:04.017202 : Epoch  7, Batch    314, Loss  0.865152, Average Loss  0.869070, Time  0.233725
2021-09-22 16:11:06.623270 : Epoch  7, Batch    315, Loss  0.870879, Average Loss  0.869076, Time  0.235394
2021-09-22 16:11:09.228272 : Epoch  7, Batch    316, Loss  0.872878, Average Loss  0.869201, Time  0.234048
2021-09-22 16:11:11.829828 : Epoch  7, Batch    317, Loss  0.870279, Average Loss  0.869166, Time  0.234584
2021-09-22 16:11:14.428550 : Epoch  7, Batch    318, Loss  0.866521, Average Loss  0.869192, Time  0.234670
2021-09-22 16:11:17.040188 : Epoch  7, Batch    319, Loss  0.872171, Average Loss  0.869160, Time  0.234324
2021-09-22 16:11:19.648225 : Epoch  7, Batch    320, Loss  0.877466, Average Loss  0.869201, Time  0.234466
2021-09-22 16:11:22.249249 : Epoch  7, Batch    321, Loss  0.855344, Average Loss  0.869164, Time  0.234669
2021-09-22 16:11:24.855209 : Epoch  7, Batch    322, Loss  0.863096, Average Loss  0.869019, Time  0.234872
2021-09-22 16:11:27.470982 : Epoch  7, Batch    323, Loss  0.881451, Average Loss  0.869158, Time  0.234541
2021-09-22 16:11:30.072240 : Epoch  7, Batch    324, Loss  0.851518, Average Loss  0.869068, Time  0.234604
2021-09-22 16:11:32.685273 : Epoch  7, Batch    325, Loss  0.854252, Average Loss  0.868958, Time  0.234032
2021-09-22 16:11:35.303247 : Epoch  7, Batch    326, Loss  0.864849, Average Loss  0.868889, Time  0.236991
2021-09-22 16:11:37.929935 : Epoch  7, Batch    327, Loss  0.872309, Average Loss  0.868856, Time  0.237013
2021-09-22 16:11:40.532741 : Epoch  7, Batch    328, Loss  0.870166, Average Loss  0.868920, Time  0.234397
2021-09-22 16:11:43.131829 : Epoch  7, Batch    329, Loss  0.867812, Average Loss  0.869026, Time  0.234998
2021-09-22 16:11:45.737862 : Epoch  7, Batch    330, Loss  0.859562, Average Loss  0.869028, Time  0.234533
2021-09-22 16:11:48.339289 : Epoch  7, Batch    331, Loss  0.864114, Average Loss  0.869127, Time  0.234696
2021-09-22 16:11:50.934404 : Epoch  7, Batch    332, Loss  0.889182, Average Loss  0.869240, Time  0.234001
2021-09-22 16:11:53.563942 : Epoch  7, Batch    333, Loss  0.872808, Average Loss  0.869236, Time  0.234658
2021-09-22 16:11:56.168980 : Epoch  7, Batch    334, Loss  0.875403, Average Loss  0.869211, Time  0.234238
2021-09-22 16:11:58.770166 : Epoch  7, Batch    335, Loss  0.873465, Average Loss  0.869182, Time  0.234066
2021-09-22 16:12:01.386009 : Epoch  7, Batch    336, Loss  0.889427, Average Loss  0.869326, Time  0.234685
2021-09-22 16:12:03.994121 : Epoch  7, Batch    337, Loss  0.853172, Average Loss  0.869167, Time  0.234497
2021-09-22 16:12:06.591853 : Epoch  7, Batch    338, Loss  0.878615, Average Loss  0.869236, Time  0.234090
2021-09-22 16:12:09.225125 : Epoch  7, Batch    339, Loss  0.868501, Average Loss  0.869195, Time  0.234585
2021-09-22 16:12:11.826049 : Epoch  7, Batch    340, Loss  0.847333, Average Loss  0.868957, Time  0.234141
2021-09-22 16:12:14.438323 : Epoch  7, Batch    341, Loss  0.871869, Average Loss  0.868975, Time  0.234812
2021-09-22 16:12:17.067487 : Epoch  7, Batch    342, Loss  0.866241, Average Loss  0.868969, Time  0.235058
2021-09-22 16:12:19.695194 : Epoch  7, Batch    343, Loss  0.872717, Average Loss  0.869085, Time  0.234053
2021-09-22 16:12:22.345919 : Epoch  7, Batch    344, Loss  0.858879, Average Loss  0.869028, Time  0.234439
2021-09-22 16:12:24.952920 : Epoch  7, Batch    345, Loss  0.867977, Average Loss  0.868967, Time  0.234651
2021-09-22 16:12:27.560232 : Epoch  7, Batch    346, Loss  0.886633, Average Loss  0.869109, Time  0.234187
2021-09-22 16:12:30.155189 : Epoch  7, Batch    347, Loss  0.847820, Average Loss  0.869008, Time  0.234110
2021-09-22 16:12:32.756232 : Epoch  7, Batch    348, Loss  0.868438, Average Loss  0.869018, Time  0.234169
2021-09-22 16:12:35.372782 : Epoch  7, Batch    349, Loss  0.884646, Average Loss  0.869082, Time  0.234296
2021-09-22 16:12:37.966616 : Epoch  7, Batch    350, Loss  0.858616, Average Loss  0.869141, Time  0.234450
2021-09-22 16:12:40.588913 : Epoch  7, Batch    351, Loss  0.876752, Average Loss  0.869236, Time  0.235429
2021-09-22 16:12:43.184837 : Epoch  7, Batch    352, Loss  0.875979, Average Loss  0.869297, Time  0.234107
2021-09-22 16:12:45.787288 : Epoch  7, Batch    353, Loss  0.851752, Average Loss  0.869215, Time  0.235064
2021-09-22 16:12:48.401218 : Epoch  7, Batch    354, Loss  0.881305, Average Loss  0.869278, Time  0.234589
2021-09-22 16:12:51.007460 : Epoch  7, Batch    355, Loss  0.880706, Average Loss  0.869490, Time  0.234553
2021-09-22 16:12:53.610880 : Epoch  7, Batch    356, Loss  0.893624, Average Loss  0.869573, Time  0.233806
2021-09-22 16:12:56.209834 : Epoch  7, Batch    357, Loss  0.873625, Average Loss  0.869536, Time  0.234888
2021-09-22 16:12:58.808832 : Epoch  7, Batch    358, Loss  0.871513, Average Loss  0.869384, Time  0.234241
2021-09-22 16:13:01.499209 : Epoch  7, Batch    359, Loss  0.891879, Average Loss  0.869570, Time  0.234393
2021-09-22 16:13:04.097470 : Epoch  7, Batch    360, Loss  0.878303, Average Loss  0.869626, Time  0.233812
2021-09-22 16:13:06.698395 : Epoch  7, Batch    361, Loss  0.883211, Average Loss  0.869723, Time  0.234586
2021-09-22 16:13:09.302425 : Epoch  7, Batch    362, Loss  0.838139, Average Loss  0.869550, Time  0.235207
2021-09-22 16:13:11.908229 : Epoch  7, Batch    363, Loss  0.890731, Average Loss  0.869616, Time  0.234509
2021-09-22 16:13:14.513167 : Epoch  7, Batch    364, Loss  0.856693, Average Loss  0.869543, Time  0.234990
2021-09-22 16:17:14.526721 : CheckPoint: Validation Loss  0.00030216, Best Loss  0.00029393
2021-09-22 16:17:17.127097 : Epoch  7, Batch    365, Loss  0.867523, Average Loss  0.869573, Time  0.235137
2021-09-22 16:17:19.751845 : Epoch  7, Batch    366, Loss  0.851797, Average Loss  0.869376, Time  0.234242
2021-09-22 16:17:22.350930 : Epoch  7, Batch    367, Loss  0.872588, Average Loss  0.869487, Time  0.234290
2021-09-22 16:17:24.953258 : Epoch  7, Batch    368, Loss  0.862690, Average Loss  0.869573, Time  0.234409
2021-09-22 16:17:27.545194 : Epoch  7, Batch    369, Loss  0.878540, Average Loss  0.869611, Time  0.234399
2021-09-22 16:17:30.161445 : Epoch  7, Batch    370, Loss  0.882339, Average Loss  0.869668, Time  0.234238
2021-09-22 16:17:32.750860 : Epoch  7, Batch    371, Loss  0.863189, Average Loss  0.869664, Time  0.235015
2021-09-22 16:17:35.341236 : Epoch  7, Batch    372, Loss  0.872287, Average Loss  0.869672, Time  0.233900
2021-09-22 16:17:37.934062 : Epoch  7, Batch    373, Loss  0.878066, Average Loss  0.869810, Time  0.234457
2021-09-22 16:17:40.534253 : Epoch  7, Batch    374, Loss  0.886118, Average Loss  0.869892, Time  0.234080
2021-09-22 16:17:43.139663 : Epoch  7, Batch    375, Loss  0.882693, Average Loss  0.870053, Time  0.234396
2021-09-22 16:17:45.737351 : Epoch  7, Batch    376, Loss  0.863655, Average Loss  0.870076, Time  0.234236
2021-09-22 16:17:48.340234 : Epoch  7, Batch    377, Loss  0.885497, Average Loss  0.870196, Time  0.235148
2021-09-22 16:17:50.944218 : Epoch  7, Batch    378, Loss  0.888144, Average Loss  0.870285, Time  0.234961
2021-09-22 16:17:53.537776 : Epoch  7, Batch    379, Loss  0.850556, Average Loss  0.870227, Time  0.234401
2021-09-22 16:17:56.130784 : Epoch  7, Batch    380, Loss  0.870694, Average Loss  0.870144, Time  0.234211
2021-09-22 16:17:58.725725 : Epoch  7, Batch    381, Loss  0.867969, Average Loss  0.870158, Time  0.235541
2021-09-22 16:18:01.321231 : Epoch  7, Batch    382, Loss  0.863392, Average Loss  0.870132, Time  0.234037
2021-09-22 16:18:03.924830 : Epoch  7, Batch    383, Loss  0.864721, Average Loss  0.870058, Time  0.235039
2021-09-22 16:18:06.522076 : Epoch  7, Batch    384, Loss  0.866840, Average Loss  0.869942, Time  0.234280
2021-09-22 16:18:09.112815 : Epoch  7, Batch    385, Loss  0.856807, Average Loss  0.869912, Time  0.234609
2021-09-22 16:18:11.718183 : Epoch  7, Batch    386, Loss  0.858201, Average Loss  0.869838, Time  0.234404
2021-09-22 16:18:14.309909 : Epoch  7, Batch    387, Loss  0.863194, Average Loss  0.869821, Time  0.234483
2021-09-22 16:18:16.914801 : Epoch  7, Batch    388, Loss  0.874789, Average Loss  0.869828, Time  0.237623
2021-09-22 16:18:19.502806 : Epoch  7, Batch    389, Loss  0.853215, Average Loss  0.869807, Time  0.235369
2021-09-22 16:18:22.087810 : Epoch  7, Batch    390, Loss  0.882116, Average Loss  0.869851, Time  0.235086
2021-09-22 16:18:24.681697 : Epoch  7, Batch    391, Loss  0.868601, Average Loss  0.869913, Time  0.234904
2021-09-22 16:18:27.294551 : Epoch  7, Batch    392, Loss  0.854239, Average Loss  0.869845, Time  0.234126
2021-09-22 16:18:29.902230 : Epoch  7, Batch    393, Loss  0.876254, Average Loss  0.869957, Time  0.234741
2021-09-22 16:18:32.502907 : Epoch  7, Batch    394, Loss  0.866578, Average Loss  0.869974, Time  0.234406
2021-09-22 16:18:35.100099 : Epoch  7, Batch    395, Loss  0.896557, Average Loss  0.870128, Time  0.234318
2021-09-22 16:18:37.706239 : Epoch  7, Batch    396, Loss  0.875566, Average Loss  0.870140, Time  0.237868
2021-09-22 16:18:40.300250 : Epoch  7, Batch    397, Loss  0.883570, Average Loss  0.870171, Time  0.234160
2021-09-22 16:18:42.914950 : Epoch  7, Batch    398, Loss  0.885381, Average Loss  0.870278, Time  0.234450
2021-09-22 16:18:45.528986 : Epoch  7, Batch    399, Loss  0.869456, Average Loss  0.870295, Time  0.235172
2021-09-22 16:18:48.130837 : Epoch  7, Batch    400, Loss  0.867423, Average Loss  0.870272, Time  0.234555
2021-09-22 16:18:50.719734 : Epoch  7, Batch    401, Loss  0.858654, Average Loss  0.870239, Time  0.235538
2021-09-22 16:18:53.334037 : Epoch  7, Batch    402, Loss  0.876786, Average Loss  0.870332, Time  0.234675
2021-09-22 16:18:55.926871 : Epoch  7, Batch    403, Loss  0.867789, Average Loss  0.870293, Time  0.235125
2021-09-22 16:18:58.526157 : Epoch  7, Batch    404, Loss  0.873506, Average Loss  0.870242, Time  0.234462
2021-09-22 16:19:01.125807 : Epoch  7, Batch    405, Loss  0.849954, Average Loss  0.870081, Time  0.234457
2021-09-22 16:19:03.722079 : Epoch  7, Batch    406, Loss  0.882617, Average Loss  0.870233, Time  0.234618
2021-09-22 16:19:06.315735 : Epoch  7, Batch    407, Loss  0.864201, Average Loss  0.870227, Time  0.234464
2021-09-22 16:19:08.928031 : Epoch  7, Batch    408, Loss  0.877661, Average Loss  0.870161, Time  0.234212
2021-09-22 16:19:11.530832 : Epoch  7, Batch    409, Loss  0.859143, Average Loss  0.870135, Time  0.234098
2021-09-22 16:19:14.132207 : Epoch  7, Batch    410, Loss  0.853364, Average Loss  0.870057, Time  0.234898
2021-09-22 16:19:16.731906 : Epoch  7, Batch    411, Loss  0.860174, Average Loss  0.870056, Time  0.234699
2021-09-22 16:19:19.349264 : Epoch  7, Batch    412, Loss  0.874327, Average Loss  0.870082, Time  0.234024
2021-09-22 16:19:21.964209 : Epoch  7, Batch    413, Loss  0.868489, Average Loss  0.870137, Time  0.234952
2021-09-22 16:19:24.565285 : Epoch  7, Batch    414, Loss  0.867620, Average Loss  0.870151, Time  0.234193
2021-09-22 16:19:27.189947 : Epoch  7, Batch    415, Loss  0.870710, Average Loss  0.870121, Time  0.234615
2021-09-22 16:19:29.785097 : Epoch  7, Batch    416, Loss  0.868686, Average Loss  0.870024, Time  0.234372
2021-09-22 16:19:32.389980 : Epoch  7, Batch    417, Loss  0.874939, Average Loss  0.870086, Time  0.234840
2021-09-22 16:19:35.000230 : Epoch  7, Batch    418, Loss  0.866194, Average Loss  0.870066, Time  0.233961
2021-09-22 16:19:37.599054 : Epoch  7, Batch    419, Loss  0.871478, Average Loss  0.870107, Time  0.234820
2021-09-22 16:19:40.190809 : Epoch  7, Batch    420, Loss  0.854629, Average Loss  0.870092, Time  0.234310
2021-09-22 16:19:42.791858 : Epoch  7, Batch    421, Loss  0.872878, Average Loss  0.870087, Time  0.234134
2021-09-22 16:19:45.391794 : Epoch  7, Batch    422, Loss  0.858498, Average Loss  0.870069, Time  0.234062
2021-09-22 16:19:47.999796 : Epoch  7, Batch    423, Loss  0.889993, Average Loss  0.870249, Time  0.234255
2021-09-22 16:19:50.601106 : Epoch  7, Batch    424, Loss  0.865165, Average Loss  0.870233, Time  0.235691
2021-09-22 16:19:53.216747 : Epoch  7, Batch    425, Loss  0.852824, Average Loss  0.870223, Time  0.234900
2021-09-22 16:19:55.799757 : Epoch  7, Batch    426, Loss  0.855542, Average Loss  0.870078, Time  0.234243
2021-09-22 16:19:58.416739 : Epoch  7, Batch    427, Loss  0.871351, Average Loss  0.870134, Time  0.234989
2021-09-22 16:20:01.019069 : Epoch  7, Batch    428, Loss  0.882912, Average Loss  0.870184, Time  0.234664
2021-09-22 16:20:03.631445 : Epoch  7, Batch    429, Loss  0.876975, Average Loss  0.870191, Time  0.234049
2021-09-22 16:20:06.226939 : Epoch  7, Batch    430, Loss  0.866567, Average Loss  0.870237, Time  0.235744
2021-09-22 16:20:08.829773 : Epoch  7, Batch    431, Loss  0.846026, Average Loss  0.870038, Time  0.235066
2021-09-22 16:20:11.416455 : Epoch  7, Batch    432, Loss  0.861547, Average Loss  0.870046, Time  0.234259
2021-09-22 16:20:14.027763 : Epoch  7, Batch    433, Loss  0.872272, Average Loss  0.870076, Time  0.234867
2021-09-22 16:20:16.612292 : Epoch  7, Batch    434, Loss  0.884263, Average Loss  0.870239, Time  0.233884
2021-09-22 16:20:19.197942 : Epoch  7, Batch    435, Loss  0.862147, Average Loss  0.870309, Time  0.234555
2021-09-22 16:20:21.795101 : Epoch  7, Batch    436, Loss  0.869778, Average Loss  0.870201, Time  0.234245
2021-09-22 16:20:24.403097 : Epoch  7, Batch    437, Loss  0.847370, Average Loss  0.870138, Time  0.234685
2021-09-22 16:20:27.025810 : Epoch  7, Batch    438, Loss  0.878217, Average Loss  0.870205, Time  0.234758
2021-09-22 16:20:29.652885 : Epoch  7, Batch    439, Loss  0.844887, Average Loss  0.870125, Time  0.234723
2021-09-22 16:20:32.245867 : Epoch  7, Batch    440, Loss  0.872657, Average Loss  0.870122, Time  0.234178
2021-09-22 16:20:34.837732 : Epoch  7, Batch    441, Loss  0.855214, Average Loss  0.870062, Time  0.234600
2021-09-22 16:20:37.464034 : Epoch  7, Batch    442, Loss  0.852066, Average Loss  0.869918, Time  0.234986
2021-09-22 16:20:40.074921 : Epoch  7, Batch    443, Loss  0.861098, Average Loss  0.869910, Time  0.234553
2021-09-22 16:20:42.669025 : Epoch  7, Batch    444, Loss  0.870788, Average Loss  0.869867, Time  0.234005
2021-09-22 16:20:45.265760 : Epoch  7, Batch    445, Loss  0.866656, Average Loss  0.869779, Time  0.235017
2021-09-22 16:20:47.863754 : Epoch  7, Batch    446, Loss  0.875739, Average Loss  0.869736, Time  0.234293
2021-09-22 16:20:50.452869 : Epoch  7, Batch    447, Loss  0.892947, Average Loss  0.869877, Time  0.235084
2021-09-22 16:20:53.053056 : Epoch  7, Batch    448, Loss  0.868520, Average Loss  0.869849, Time  0.234233
2021-09-22 16:20:55.662847 : Epoch  7, Batch    449, Loss  0.886269, Average Loss  0.869986, Time  0.234814
2021-09-22 16:20:58.270864 : Epoch  7, Batch    450, Loss  0.867637, Average Loss  0.870021, Time  0.234454
2021-09-22 16:21:00.880808 : Epoch  7, Batch    451, Loss  0.869107, Average Loss  0.870092, Time  0.236454
2021-09-22 16:21:03.476859 : Epoch  7, Batch    452, Loss  0.857120, Average Loss  0.870062, Time  0.234253
2021-09-22 16:21:06.122832 : Epoch  7, Batch    453, Loss  0.850692, Average Loss  0.870027, Time  0.236041
2021-09-22 16:21:08.715092 : Epoch  7, Batch    454, Loss  0.845908, Average Loss  0.869851, Time  0.234739
2021-09-22 16:21:11.310110 : Epoch  7, Batch    455, Loss  0.865168, Average Loss  0.869827, Time  0.235117
2021-09-22 16:21:13.916248 : Epoch  7, Batch    456, Loss  0.878040, Average Loss  0.869875, Time  0.233857
2021-09-22 16:21:16.519987 : Epoch  7, Batch    457, Loss  0.871179, Average Loss  0.869884, Time  0.234991
2021-09-22 16:21:19.122243 : Epoch  7, Batch    458, Loss  0.860363, Average Loss  0.869889, Time  0.237549
2021-09-22 16:21:21.714477 : Epoch  7, Batch    459, Loss  0.892936, Average Loss  0.870047, Time  0.234953
2021-09-22 16:21:24.314276 : Epoch  7, Batch    460, Loss  0.864003, Average Loss  0.870049, Time  0.233739
2021-09-22 16:21:26.920431 : Epoch  7, Batch    461, Loss  0.851580, Average Loss  0.869896, Time  0.234334
2021-09-22 16:21:29.502855 : Epoch  7, Batch    462, Loss  0.872734, Average Loss  0.869980, Time  0.234221
2021-09-22 16:21:32.114868 : Epoch  7, Batch    463, Loss  0.874752, Average Loss  0.870047, Time  0.234523
2021-09-22 16:21:34.712819 : Epoch  7, Batch    464, Loss  0.863314, Average Loss  0.870078, Time  0.234209
2021-09-22 16:25:34.921724 : CheckPoint: Validation Loss  0.00030289, Best Loss  0.00029393
2021-09-22 16:25:37.528868 : Epoch  7, Batch    465, Loss  0.864564, Average Loss  0.870111, Time  0.235172
2021-09-22 16:25:40.139207 : Epoch  7, Batch    466, Loss  0.875105, Average Loss  0.870135, Time  0.234491
2021-09-22 16:25:42.736795 : Epoch  7, Batch    467, Loss  0.873920, Average Loss  0.870036, Time  0.234104
2021-09-22 16:25:45.346485 : Epoch  7, Batch    468, Loss  0.853089, Average Loss  0.869931, Time  0.234729
2021-09-22 16:25:47.963867 : Epoch  7, Batch    469, Loss  0.884198, Average Loss  0.869953, Time  0.235020
2021-09-22 16:25:50.580221 : Epoch  7, Batch    470, Loss  0.862427, Average Loss  0.869959, Time  0.234238
2021-09-22 16:25:53.180582 : Epoch  7, Batch    471, Loss  0.884049, Average Loss  0.870011, Time  0.235041
2021-09-22 16:25:55.783369 : Epoch  7, Batch    472, Loss  0.871298, Average Loss  0.870079, Time  0.234620
2021-09-22 16:25:58.389174 : Epoch  7, Batch    473, Loss  0.879198, Average Loss  0.870156, Time  0.234768
2021-09-22 16:26:00.986749 : Epoch  7, Batch    474, Loss  0.846818, Average Loss  0.869969, Time  0.234664
2021-09-22 16:26:03.597988 : Epoch  7, Batch    475, Loss  0.906435, Average Loss  0.869962, Time  0.235311
2021-09-22 16:26:06.204772 : Epoch  7, Batch    476, Loss  0.863611, Average Loss  0.869957, Time  0.234327
2021-09-22 16:26:08.807435 : Epoch  7, Batch    477, Loss  0.873623, Average Loss  0.869920, Time  0.234231
2021-09-22 16:26:11.423261 : Epoch  7, Batch    478, Loss  0.879396, Average Loss  0.869929, Time  0.234491
2021-09-22 16:26:14.027306 : Epoch  7, Batch    479, Loss  0.889941, Average Loss  0.870080, Time  0.234213
2021-09-22 16:26:16.619314 : Epoch  7, Batch    480, Loss  0.856424, Average Loss  0.870000, Time  0.234084
2021-09-22 16:26:19.239964 : Epoch  7, Batch    481, Loss  0.869554, Average Loss  0.869902, Time  0.235383
2021-09-22 16:26:21.846315 : Epoch  7, Batch    482, Loss  0.850874, Average Loss  0.869812, Time  0.234454
2021-09-22 16:26:24.438213 : Epoch  7, Batch    483, Loss  0.887608, Average Loss  0.869912, Time  0.234456
2021-09-22 16:26:27.035751 : Epoch  7, Batch    484, Loss  0.848793, Average Loss  0.869909, Time  0.234023
2021-09-22 16:26:29.630806 : Epoch  7, Batch    485, Loss  0.893250, Average Loss  0.869971, Time  0.234927
2021-09-22 16:26:32.226133 : Epoch  7, Batch    486, Loss  0.865047, Average Loss  0.869924, Time  0.234418
2021-09-22 16:26:34.847830 : Epoch  7, Batch    487, Loss  0.854056, Average Loss  0.869806, Time  0.237659
2021-09-22 16:26:37.436935 : Epoch  7, Batch    488, Loss  0.876750, Average Loss  0.869807, Time  0.234424
2021-09-22 16:26:40.053230 : Epoch  7, Batch    489, Loss  0.870929, Average Loss  0.869813, Time  0.235595
2021-09-22 16:26:42.655883 : Epoch  7, Batch    490, Loss  0.875910, Average Loss  0.869807, Time  0.233978
2021-09-22 16:26:45.244814 : Epoch  7, Batch    491, Loss  0.862257, Average Loss  0.869768, Time  0.234824
2021-09-22 16:26:47.840139 : Epoch  7, Batch    492, Loss  0.866242, Average Loss  0.869722, Time  0.235213
2021-09-22 16:26:50.428143 : Epoch  7, Batch    493, Loss  0.858420, Average Loss  0.869581, Time  0.234185
2021-09-22 16:26:53.023004 : Epoch  7, Batch    494, Loss  0.870614, Average Loss  0.869574, Time  0.234324
2021-09-22 16:26:55.618795 : Epoch  7, Batch    495, Loss  0.856515, Average Loss  0.869421, Time  0.234595
2021-09-22 16:26:58.224865 : Epoch  7, Batch    496, Loss  0.870654, Average Loss  0.869547, Time  0.235124
2021-09-22 16:27:00.831010 : Epoch  7, Batch    497, Loss  0.861150, Average Loss  0.869439, Time  0.234946
2021-09-22 16:27:03.440866 : Epoch  7, Batch    498, Loss  0.883449, Average Loss  0.869484, Time  0.234739
2021-09-22 16:27:06.035101 : Epoch  7, Batch    499, Loss  0.850001, Average Loss  0.869454, Time  0.234505
2021-09-22 16:27:08.616241 : Epoch  7, Batch    500, Loss  0.848652, Average Loss  0.869404, Time  0.234352
2021-09-22 16:27:11.257215 : Epoch  7, Batch    501, Loss  0.859425, Average Loss  0.869206, Time  0.234545
2021-09-22 16:27:13.857412 : Epoch  7, Batch    502, Loss  0.861838, Average Loss  0.869182, Time  0.234432
2021-09-22 16:27:16.450780 : Epoch  7, Batch    503, Loss  0.875034, Average Loss  0.869226, Time  0.234911
2021-09-22 16:27:19.052842 : Epoch  7, Batch    504, Loss  0.896062, Average Loss  0.869355, Time  0.234485
2021-09-22 16:27:21.654831 : Epoch  7, Batch    505, Loss  0.874451, Average Loss  0.869401, Time  0.234500
2021-09-22 16:27:24.239439 : Epoch  7, Batch    506, Loss  0.866873, Average Loss  0.869321, Time  0.234560
2021-09-22 16:27:26.834922 : Epoch  7, Batch    507, Loss  0.870010, Average Loss  0.869286, Time  0.234699
2021-09-22 16:27:29.413447 : Epoch  7, Batch    508, Loss  0.873439, Average Loss  0.869249, Time  0.234506
2021-09-22 16:27:32.018417 : Epoch  7, Batch    509, Loss  0.850855, Average Loss  0.869122, Time  0.234730
2021-09-22 16:27:34.634416 : Epoch  7, Batch    510, Loss  0.892914, Average Loss  0.869143, Time  0.234368
2021-09-22 16:27:37.235449 : Epoch  7, Batch    511, Loss  0.869134, Average Loss  0.869209, Time  0.234672
2021-09-22 16:27:39.877961 : Epoch  7, Batch    512, Loss  0.862040, Average Loss  0.869140, Time  0.234700
2021-09-22 16:27:42.483585 : Epoch  7, Batch    513, Loss  0.894514, Average Loss  0.869225, Time  0.234972
2021-09-22 16:27:45.083219 : Epoch  7, Batch    514, Loss  0.870151, Average Loss  0.869250, Time  0.234022
2021-09-22 16:27:47.688476 : Epoch  7, Batch    515, Loss  0.867845, Average Loss  0.869235, Time  0.234849
2021-09-22 16:27:50.292571 : Epoch  7, Batch    516, Loss  0.867402, Average Loss  0.869208, Time  0.234231
2021-09-22 16:27:52.891633 : Epoch  7, Batch    517, Loss  0.877344, Average Loss  0.869243, Time  0.234792
2021-09-22 16:27:55.500730 : Epoch  7, Batch    518, Loss  0.863483, Average Loss  0.869228, Time  0.235512
2021-09-22 16:27:58.100965 : Epoch  7, Batch    519, Loss  0.846662, Average Loss  0.869100, Time  0.234944
2021-09-22 16:28:00.719790 : Epoch  7, Batch    520, Loss  0.867243, Average Loss  0.869049, Time  0.234138
2021-09-22 16:28:03.324841 : Epoch  7, Batch    521, Loss  0.871396, Average Loss  0.869129, Time  0.234631
2021-09-22 16:28:05.916210 : Epoch  7, Batch    522, Loss  0.868681, Average Loss  0.869157, Time  0.234113
2021-09-22 16:28:08.505056 : Epoch  7, Batch    523, Loss  0.851832, Average Loss  0.869009, Time  0.235911
2021-09-22 16:28:11.099420 : Epoch  7, Batch    524, Loss  0.886043, Average Loss  0.869182, Time  0.234035
2021-09-22 16:28:13.701860 : Epoch  7, Batch    525, Loss  0.877402, Average Loss  0.869298, Time  0.235186
2021-09-22 16:28:16.292977 : Epoch  7, Batch    526, Loss  0.877371, Average Loss  0.869360, Time  0.234222
2021-09-22 16:28:18.893235 : Epoch  7, Batch    527, Loss  0.868299, Average Loss  0.869340, Time  0.234219
2021-09-22 16:28:21.486484 : Epoch  7, Batch    528, Loss  0.858142, Average Loss  0.869280, Time  0.234707
2021-09-22 16:28:24.075060 : Epoch  7, Batch    529, Loss  0.859788, Average Loss  0.869240, Time  0.234228
2021-09-22 16:28:26.678061 : Epoch  7, Batch    530, Loss  0.878285, Average Loss  0.869334, Time  0.233804
2021-09-22 16:28:29.273459 : Epoch  7, Batch    531, Loss  0.898836, Average Loss  0.869507, Time  0.234202
2021-09-22 16:28:31.889216 : Epoch  7, Batch    532, Loss  0.869228, Average Loss  0.869407, Time  0.233965
2021-09-22 16:28:34.497019 : Epoch  7, Batch    533, Loss  0.854684, Average Loss  0.869317, Time  0.234546
2021-09-22 16:28:37.113430 : Epoch  7, Batch    534, Loss  0.881263, Average Loss  0.869346, Time  0.233998
2021-09-22 16:28:39.701083 : Epoch  7, Batch    535, Loss  0.875206, Average Loss  0.869355, Time  0.234603
2021-09-22 16:28:42.298403 : Epoch  7, Batch    536, Loss  0.862761, Average Loss  0.869221, Time  0.234072
2021-09-22 16:28:44.947246 : Epoch  7, Batch    537, Loss  0.855656, Average Loss  0.869234, Time  0.233815
2021-09-22 16:28:47.539354 : Epoch  7, Batch    538, Loss  0.870331, Average Loss  0.869192, Time  0.234260
2021-09-22 16:28:50.133267 : Epoch  7, Batch    539, Loss  0.858128, Average Loss  0.869141, Time  0.234822
2021-09-22 16:28:52.737744 : Epoch  7, Batch    540, Loss  0.892024, Average Loss  0.869364, Time  0.234275
2021-09-22 16:28:55.333124 : Epoch  7, Batch    541, Loss  0.865196, Average Loss  0.869331, Time  0.234508
2021-09-22 16:28:57.927243 : Epoch  7, Batch    542, Loss  0.878811, Average Loss  0.869394, Time  0.233998
2021-09-22 16:29:00.520765 : Epoch  7, Batch    543, Loss  0.877619, Average Loss  0.869418, Time  0.234341
2021-09-22 16:29:03.154876 : Epoch  7, Batch    544, Loss  0.863603, Average Loss  0.869442, Time  0.234106
2021-09-22 16:29:05.766929 : Epoch  7, Batch    545, Loss  0.861803, Average Loss  0.869411, Time  0.235012
2021-09-22 16:29:08.372832 : Epoch  7, Batch    546, Loss  0.878240, Average Loss  0.869369, Time  0.234194
2021-09-22 16:29:10.970917 : Epoch  7, Batch    547, Loss  0.843140, Average Loss  0.869345, Time  0.234547
2021-09-22 16:29:13.578003 : Epoch  7, Batch    548, Loss  0.884554, Average Loss  0.869426, Time  0.234767
2021-09-22 16:29:16.172035 : Epoch  7, Batch    549, Loss  0.852953, Average Loss  0.869268, Time  0.234677
2021-09-22 16:29:18.772067 : Epoch  7, Batch    550, Loss  0.860212, Average Loss  0.869276, Time  0.233971
2021-09-22 16:29:21.379938 : Epoch  7, Batch    551, Loss  0.869611, Average Loss  0.869240, Time  0.234135
2021-09-22 16:29:23.988752 : Epoch  7, Batch    552, Loss  0.867940, Average Loss  0.869200, Time  0.234734
2021-09-22 16:29:26.583974 : Epoch  7, Batch    553, Loss  0.877288, Average Loss  0.869327, Time  0.234187
2021-09-22 16:29:29.189113 : Epoch  7, Batch    554, Loss  0.860475, Average Loss  0.869223, Time  0.234973
2021-09-22 16:29:31.836295 : Epoch  7, Batch    555, Loss  0.866458, Average Loss  0.869152, Time  0.234248
2021-09-22 16:29:34.428962 : Epoch  7, Batch    556, Loss  0.862804, Average Loss  0.868998, Time  0.234097
2021-09-22 16:29:37.040242 : Epoch  7, Batch    557, Loss  0.857735, Average Loss  0.868918, Time  0.234429
2021-09-22 16:29:39.645175 : Epoch  7, Batch    558, Loss  0.864493, Average Loss  0.868883, Time  0.234662
2021-09-22 16:29:42.245203 : Epoch  7, Batch    559, Loss  0.870523, Average Loss  0.868776, Time  0.234378
2021-09-22 16:29:44.846027 : Epoch  7, Batch    560, Loss  0.873273, Average Loss  0.868751, Time  0.233879
2021-09-22 16:29:47.435998 : Epoch  7, Batch    561, Loss  0.860591, Average Loss  0.868638, Time  0.234551
2021-09-22 16:29:50.023841 : Epoch  7, Batch    562, Loss  0.890857, Average Loss  0.868902, Time  0.235270
2021-09-22 16:29:52.618925 : Epoch  7, Batch    563, Loss  0.875512, Average Loss  0.868826, Time  0.234424
2021-09-22 16:29:55.212463 : Epoch  7, Batch    564, Loss  0.853368, Average Loss  0.868809, Time  0.234273
2021-09-22 16:33:55.071702 : CheckPoint: Validation Loss  0.00030161, Best Loss  0.00029393
2021-09-22 16:33:57.671764 : Epoch  7, Batch    565, Loss  0.862433, Average Loss  0.868784, Time  0.234933
2021-09-22 16:34:00.271729 : Epoch  7, Batch    566, Loss  0.865725, Average Loss  0.868853, Time  0.234124
2021-09-22 16:34:02.866944 : Epoch  7, Batch    567, Loss  0.875043, Average Loss  0.868866, Time  0.233945
2021-09-22 16:34:05.468833 : Epoch  7, Batch    568, Loss  0.858996, Average Loss  0.868847, Time  0.234126
2021-09-22 16:34:08.073775 : Epoch  7, Batch    569, Loss  0.851098, Average Loss  0.868710, Time  0.235675
2021-09-22 16:34:10.677778 : Epoch  7, Batch    570, Loss  0.868351, Average Loss  0.868640, Time  0.234180
2021-09-22 16:34:13.277650 : Epoch  7, Batch    571, Loss  0.871046, Average Loss  0.868679, Time  0.234459
2021-09-22 16:34:15.875882 : Epoch  7, Batch    572, Loss  0.838908, Average Loss  0.868512, Time  0.234309
2021-09-22 16:34:18.482273 : Epoch  7, Batch    573, Loss  0.880489, Average Loss  0.868524, Time  0.234091
2021-09-22 16:34:21.133290 : Epoch  7, Batch    574, Loss  0.878214, Average Loss  0.868485, Time  0.235429
2021-09-22 16:34:23.724943 : Epoch  7, Batch    575, Loss  0.866411, Average Loss  0.868404, Time  0.234905
2021-09-22 16:34:26.326797 : Epoch  7, Batch    576, Loss  0.859698, Average Loss  0.868384, Time  0.234447
2021-09-22 16:34:28.936885 : Epoch  7, Batch    577, Loss  0.872486, Average Loss  0.868319, Time  0.234926
2021-09-22 16:34:31.580121 : Epoch  7, Batch    578, Loss  0.871422, Average Loss  0.868235, Time  0.234304
2021-09-22 16:34:34.189235 : Epoch  7, Batch    579, Loss  0.863236, Average Loss  0.868298, Time  0.235307
2021-09-22 16:34:36.792968 : Epoch  7, Batch    580, Loss  0.868906, Average Loss  0.868290, Time  0.234349
2021-09-22 16:34:39.448258 : Epoch  7, Batch    581, Loss  0.865285, Average Loss  0.868276, Time  0.255496
2021-09-22 16:34:42.057926 : Epoch  7, Batch    582, Loss  0.849927, Average Loss  0.868209, Time  0.234400
2021-09-22 16:34:44.656848 : Epoch  7, Batch    583, Loss  0.862398, Average Loss  0.868197, Time  0.234473
2021-09-22 16:34:47.259762 : Epoch  7, Batch    584, Loss  0.845409, Average Loss  0.868090, Time  0.234916
2021-09-22 16:34:49.860790 : Epoch  7, Batch    585, Loss  0.852896, Average Loss  0.868070, Time  0.234305
2021-09-22 16:34:52.458128 : Epoch  7, Batch    586, Loss  0.873629, Average Loss  0.868148, Time  0.234185
2021-09-22 16:34:55.077784 : Epoch  7, Batch    587, Loss  0.872241, Average Loss  0.868193, Time  0.234988
2021-09-22 16:34:57.683667 : Epoch  7, Batch    588, Loss  0.874722, Average Loss  0.868192, Time  0.236246
2021-09-22 16:35:00.296758 : Epoch  7, Batch    589, Loss  0.851233, Average Loss  0.868183, Time  0.235212
2021-09-22 16:35:02.921268 : Epoch  7, Batch    590, Loss  0.867674, Average Loss  0.868110, Time  0.234136
2021-09-22 16:35:05.520186 : Epoch  7, Batch    591, Loss  0.869168, Average Loss  0.868113, Time  0.234917
2021-09-22 16:35:08.136476 : Epoch  7, Batch    592, Loss  0.872896, Average Loss  0.868206, Time  0.234065
2021-09-22 16:35:10.743860 : Epoch  7, Batch    593, Loss  0.863187, Average Loss  0.868141, Time  0.234239
2021-09-22 16:35:13.356783 : Epoch  7, Batch    594, Loss  0.856794, Average Loss  0.868092, Time  0.234565
2021-09-22 16:35:15.970068 : Epoch  7, Batch    595, Loss  0.841331, Average Loss  0.867816, Time  0.234279
2021-09-22 16:35:18.561075 : Epoch  7, Batch    596, Loss  0.887620, Average Loss  0.867876, Time  0.234621
2021-09-22 16:35:21.174222 : Epoch  7, Batch    597, Loss  0.915468, Average Loss  0.868036, Time  0.234425
2021-09-22 16:35:23.780846 : Epoch  7, Batch    598, Loss  0.876693, Average Loss  0.867992, Time  0.234605
2021-09-22 16:35:26.385733 : Epoch  7, Batch    599, Loss  0.869801, Average Loss  0.867994, Time  0.234028
2021-09-22 16:35:28.993503 : Epoch  7, Batch    600, Loss  0.843145, Average Loss  0.867873, Time  0.234280
2021-09-22 16:35:31.596030 : Epoch  7, Batch    601, Loss  0.862107, Average Loss  0.867890, Time  0.235614
2021-09-22 16:35:34.186081 : Epoch  7, Batch    602, Loss  0.844494, Average Loss  0.867729, Time  0.234614
2021-09-22 16:35:36.800292 : Epoch  7, Batch    603, Loss  0.868763, Average Loss  0.867733, Time  0.236450
2021-09-22 16:35:39.420827 : Epoch  7, Batch    604, Loss  0.868895, Average Loss  0.867710, Time  0.234446
2021-09-22 16:35:42.074028 : Epoch  7, Batch    605, Loss  0.873289, Average Loss  0.867827, Time  0.234831
2021-09-22 16:35:44.720883 : Epoch  7, Batch    606, Loss  0.892899, Average Loss  0.867878, Time  0.234581
2021-09-22 16:35:47.327775 : Epoch  7, Batch    607, Loss  0.885130, Average Loss  0.867983, Time  0.234585
2021-09-22 16:35:49.939410 : Epoch  7, Batch    608, Loss  0.862993, Average Loss  0.867910, Time  0.234423
2021-09-22 16:35:52.578264 : Epoch  7, Batch    609, Loss  0.880683, Average Loss  0.868017, Time  0.234529
2021-09-22 16:35:55.176898 : Epoch  7, Batch    610, Loss  0.861556, Average Loss  0.868058, Time  0.234175
2021-09-22 16:35:57.788240 : Epoch  7, Batch    611, Loss  0.858147, Average Loss  0.868048, Time  0.234260
2021-09-22 16:36:00.383234 : Epoch  7, Batch    612, Loss  0.885062, Average Loss  0.868102, Time  0.233998
2021-09-22 16:36:02.986810 : Epoch  7, Batch    613, Loss  0.869293, Average Loss  0.868106, Time  0.234488
2021-09-22 16:36:05.600235 : Epoch  7, Batch    614, Loss  0.877576, Average Loss  0.868156, Time  0.235550
2021-09-22 16:36:08.204722 : Epoch  7, Batch    615, Loss  0.875024, Average Loss  0.868177, Time  0.234315
2021-09-22 16:36:10.805280 : Epoch  7, Batch    616, Loss  0.860653, Average Loss  0.868137, Time  0.234210
2021-09-22 16:36:13.405778 : Epoch  7, Batch    617, Loss  0.867424, Average Loss  0.868100, Time  0.234849
2021-09-22 16:36:16.007455 : Epoch  7, Batch    618, Loss  0.857896, Average Loss  0.868058, Time  0.234015
2021-09-22 16:36:18.615538 : Epoch  7, Batch    619, Loss  0.866864, Average Loss  0.868035, Time  0.234534
2021-09-22 16:36:21.219228 : Epoch  7, Batch    620, Loss  0.874473, Average Loss  0.868134, Time  0.234289
2021-09-22 16:36:23.830733 : Epoch  7, Batch    621, Loss  0.873915, Average Loss  0.868139, Time  0.235187
2021-09-22 16:36:26.438832 : Epoch  7, Batch    622, Loss  0.880549, Average Loss  0.868250, Time  0.234589
2021-09-22 16:36:29.057839 : Epoch  7, Batch    623, Loss  0.870515, Average Loss  0.868152, Time  0.234793
2021-09-22 16:36:31.658019 : Epoch  7, Batch    624, Loss  0.887475, Average Loss  0.868264, Time  0.234168
2021-09-22 16:36:34.269518 : Epoch  7, Batch    625, Loss  0.877569, Average Loss  0.868388, Time  0.234722
2021-09-22 16:36:36.872517 : Epoch  7, Batch    626, Loss  0.864868, Average Loss  0.868434, Time  0.234606
2021-09-22 16:36:39.491236 : Epoch  7, Batch    627, Loss  0.873457, Average Loss  0.868445, Time  0.234683
2021-09-22 16:36:42.091273 : Epoch  7, Batch    628, Loss  0.873235, Average Loss  0.868396, Time  0.234260
2021-09-22 16:36:44.701431 : Epoch  7, Batch    629, Loss  0.881637, Average Loss  0.868420, Time  0.234153
2021-09-22 16:36:47.336670 : Epoch  7, Batch    630, Loss  0.876087, Average Loss  0.868467, Time  0.234159
2021-09-22 16:36:49.949720 : Epoch  7, Batch    631, Loss  0.868927, Average Loss  0.868582, Time  0.234842
2021-09-22 16:36:52.548669 : Epoch  7, Batch    632, Loss  0.876420, Average Loss  0.868656, Time  0.234137
2021-09-22 16:36:55.163733 : Epoch  7, Batch    633, Loss  0.877692, Average Loss  0.868683, Time  0.235075
2021-09-22 16:36:57.770768 : Epoch  7, Batch    634, Loss  0.857098, Average Loss  0.868547, Time  0.234826
2021-09-22 16:37:00.373244 : Epoch  7, Batch    635, Loss  0.869585, Average Loss  0.868585, Time  0.234511
2021-09-22 16:37:02.974710 : Epoch  7, Batch    636, Loss  0.868267, Average Loss  0.868577, Time  0.235357
2021-09-22 16:37:05.578990 : Epoch  7, Batch    637, Loss  0.876776, Average Loss  0.868724, Time  0.234353
2021-09-22 16:37:08.185962 : Epoch  7, Batch    638, Loss  0.884458, Average Loss  0.868755, Time  0.234378
2021-09-22 16:37:10.791085 : Epoch  7, Batch    639, Loss  0.884448, Average Loss  0.868953, Time  0.234354
2021-09-22 16:37:13.396473 : Epoch  7, Batch    640, Loss  0.873255, Average Loss  0.868956, Time  0.234190
2021-09-22 16:37:15.994983 : Epoch  7, Batch    641, Loss  0.858877, Average Loss  0.868974, Time  0.234777
2021-09-22 16:37:18.606532 : Epoch  7, Batch    642, Loss  0.870218, Average Loss  0.869065, Time  0.235592
2021-09-22 16:37:21.212100 : Epoch  7, Batch    643, Loss  0.860893, Average Loss  0.869064, Time  0.235164
2021-09-22 16:37:23.812739 : Epoch  7, Batch    644, Loss  0.863357, Average Loss  0.869027, Time  0.234039
2021-09-22 16:37:26.410245 : Epoch  7, Batch    645, Loss  0.854973, Average Loss  0.868969, Time  0.234298
2021-09-22 16:37:29.005055 : Epoch  7, Batch    646, Loss  0.877685, Average Loss  0.868978, Time  0.233921
2021-09-22 16:37:31.609821 : Epoch  7, Batch    647, Loss  0.853723, Average Loss  0.868782, Time  0.235438
2021-09-22 16:37:34.214984 : Epoch  7, Batch    648, Loss  0.850787, Average Loss  0.868694, Time  0.234740
2021-09-22 16:37:36.819865 : Epoch  7, Batch    649, Loss  0.879071, Average Loss  0.868658, Time  0.234659
2021-09-22 16:37:39.421236 : Epoch  7, Batch    650, Loss  0.871095, Average Loss  0.868675, Time  0.234127
2021-09-22 16:37:42.024052 : Epoch  7, Batch    651, Loss  0.859314, Average Loss  0.868626, Time  0.235717
2021-09-22 16:37:44.623028 : Epoch  7, Batch    652, Loss  0.872706, Average Loss  0.868704, Time  0.234324
2021-09-22 16:37:47.234137 : Epoch  7, Batch    653, Loss  0.873737, Average Loss  0.868819, Time  0.235108
2021-09-22 16:37:49.833427 : Epoch  7, Batch    654, Loss  0.889459, Average Loss  0.869037, Time  0.234199
2021-09-22 16:37:52.439915 : Epoch  7, Batch    655, Loss  0.859640, Average Loss  0.869009, Time  0.234584
2021-09-22 16:37:55.041973 : Epoch  7, Batch    656, Loss  0.869438, Average Loss  0.868966, Time  0.234387
2021-09-22 16:37:57.651716 : Epoch  7, Batch    657, Loss  0.862203, Average Loss  0.868921, Time  0.235606
2021-09-22 16:38:00.255261 : Epoch  7, Batch    658, Loss  0.851755, Average Loss  0.868878, Time  0.235315
2021-09-22 16:38:02.852507 : Epoch  7, Batch    659, Loss  0.883863, Average Loss  0.868833, Time  0.234848
2021-09-22 16:38:05.457985 : Epoch  7, Batch    660, Loss  0.877159, Average Loss  0.868899, Time  0.234408
2021-09-22 16:38:08.078787 : Epoch  7, Batch    661, Loss  0.860560, Average Loss  0.868944, Time  0.235082
2021-09-22 16:38:10.680740 : Epoch  7, Batch    662, Loss  0.877368, Average Loss  0.868967, Time  0.234187
2021-09-22 16:38:13.277262 : Epoch  7, Batch    663, Loss  0.868443, Average Loss  0.868935, Time  0.234498
2021-09-22 16:38:15.870911 : Epoch  7, Batch    664, Loss  0.880818, Average Loss  0.869023, Time  0.234539
2021-09-22 16:42:15.778707 : CheckPoint: Validation Loss  0.00030714, Best Loss  0.00029393
2021-09-22 16:42:18.363000 : Epoch  7, Batch    665, Loss  0.878227, Average Loss  0.869091, Time  0.234948
2021-09-22 16:42:20.963192 : Epoch  7, Batch    666, Loss  0.875746, Average Loss  0.869094, Time  0.234322
2021-09-22 16:42:23.593194 : Epoch  7, Batch    667, Loss  0.881930, Average Loss  0.869134, Time  0.234614
2021-09-22 16:42:26.203171 : Epoch  7, Batch    668, Loss  0.872466, Average Loss  0.869231, Time  0.233911
2021-09-22 16:42:28.803218 : Epoch  7, Batch    669, Loss  0.863783, Average Loss  0.869129, Time  0.234550
2021-09-22 16:42:31.399931 : Epoch  7, Batch    670, Loss  0.824348, Average Loss  0.868939, Time  0.234749
2021-09-22 16:42:34.001459 : Epoch  7, Batch    671, Loss  0.889682, Average Loss  0.868967, Time  0.234124
2021-09-22 16:42:36.621883 : Epoch  7, Batch    672, Loss  0.883523, Average Loss  0.869028, Time  0.234607
2021-09-22 16:42:39.229235 : Epoch  7, Batch    673, Loss  0.872869, Average Loss  0.868996, Time  0.234675
2021-09-22 16:42:41.833232 : Epoch  7, Batch    674, Loss  0.854406, Average Loss  0.869034, Time  0.234091
2021-09-22 16:42:44.456049 : Epoch  7, Batch    675, Loss  0.872691, Average Loss  0.868865, Time  0.234464
2021-09-22 16:42:47.058229 : Epoch  7, Batch    676, Loss  0.870439, Average Loss  0.868900, Time  0.234334
2021-09-22 16:42:49.663944 : Epoch  7, Batch    677, Loss  0.862078, Average Loss  0.868842, Time  0.234505
2021-09-22 16:42:52.268401 : Epoch  7, Batch    678, Loss  0.875548, Average Loss  0.868823, Time  0.235333
2021-09-22 16:42:54.874768 : Epoch  7, Batch    679, Loss  0.875697, Average Loss  0.868751, Time  0.234633
2021-09-22 16:42:57.482455 : Epoch  7, Batch    680, Loss  0.870379, Average Loss  0.868821, Time  0.233980
2021-09-22 16:43:00.079703 : Epoch  7, Batch    681, Loss  0.853450, Average Loss  0.868741, Time  0.234523
2021-09-22 16:43:02.683446 : Epoch  7, Batch    682, Loss  0.852463, Average Loss  0.868749, Time  0.234077
2021-09-22 16:43:05.286115 : Epoch  7, Batch    683, Loss  0.868940, Average Loss  0.868655, Time  0.234507
2021-09-22 16:43:07.893239 : Epoch  7, Batch    684, Loss  0.861149, Average Loss  0.868717, Time  0.234125
2021-09-22 16:43:10.497480 : Epoch  7, Batch    685, Loss  0.866012, Average Loss  0.868581, Time  0.234670
2021-09-22 16:43:13.100239 : Epoch  7, Batch    686, Loss  0.866367, Average Loss  0.868588, Time  0.233997
2021-09-22 16:43:15.702282 : Epoch  7, Batch    687, Loss  0.876774, Average Loss  0.868701, Time  0.234551
2021-09-22 16:43:18.297784 : Epoch  7, Batch    688, Loss  0.858267, Average Loss  0.868609, Time  0.234416
2021-09-22 16:43:20.898745 : Epoch  7, Batch    689, Loss  0.885892, Average Loss  0.868683, Time  0.234483
2021-09-22 16:43:23.498046 : Epoch  7, Batch    690, Loss  0.881439, Average Loss  0.868711, Time  0.234242
2021-09-22 16:43:26.102871 : Epoch  7, Batch    691, Loss  0.865693, Average Loss  0.868728, Time  0.234736
2021-09-22 16:43:28.708981 : Epoch  7, Batch    692, Loss  0.854125, Average Loss  0.868668, Time  0.233710
2021-09-22 16:43:31.335500 : Epoch  7, Batch    693, Loss  0.843853, Average Loss  0.868595, Time  0.233919
2021-09-22 16:43:33.954457 : Epoch  7, Batch    694, Loss  0.884984, Average Loss  0.868667, Time  0.234879
2021-09-22 16:43:36.555004 : Epoch  7, Batch    695, Loss  0.865501, Average Loss  0.868712, Time  0.235016
2021-09-22 16:43:39.160628 : Epoch  7, Batch    696, Loss  0.862949, Average Loss  0.868673, Time  0.234582
2021-09-22 16:43:41.761123 : Epoch  7, Batch    697, Loss  0.859954, Average Loss  0.868667, Time  0.234526
2021-09-22 16:43:44.368770 : Epoch  7, Batch    698, Loss  0.868746, Average Loss  0.868594, Time  0.234416
2021-09-22 16:43:46.975025 : Epoch  7, Batch    699, Loss  0.886210, Average Loss  0.868775, Time  0.235435
2021-09-22 16:43:49.573808 : Epoch  7, Batch    700, Loss  0.877741, Average Loss  0.868920, Time  0.235157
2021-09-22 16:43:52.185917 : Epoch  7, Batch    701, Loss  0.845173, Average Loss  0.868849, Time  0.234697
2021-09-22 16:43:54.836967 : Epoch  7, Batch    702, Loss  0.853447, Average Loss  0.868807, Time  0.234432
2021-09-22 16:43:57.435981 : Epoch  7, Batch    703, Loss  0.865387, Average Loss  0.868759, Time  0.234821
2021-09-22 16:44:00.034008 : Epoch  7, Batch    704, Loss  0.863155, Average Loss  0.868594, Time  0.234674
2021-09-22 16:44:02.632257 : Epoch  7, Batch    705, Loss  0.863585, Average Loss  0.868540, Time  0.234255
2021-09-22 16:44:05.224957 : Epoch  7, Batch    706, Loss  0.853214, Average Loss  0.868472, Time  0.235255
2021-09-22 16:44:07.847462 : Epoch  7, Batch    707, Loss  0.876159, Average Loss  0.868502, Time  0.234717
2021-09-22 16:44:10.482232 : Epoch  7, Batch    708, Loss  0.877639, Average Loss  0.868523, Time  0.234334
2021-09-22 16:44:13.079258 : Epoch  7, Batch    709, Loss  0.859044, Average Loss  0.868564, Time  0.234352
2021-09-22 16:44:15.671243 : Epoch  7, Batch    710, Loss  0.878863, Average Loss  0.868494, Time  0.234763
2021-09-22 16:44:18.283833 : Epoch  7, Batch    711, Loss  0.866421, Average Loss  0.868480, Time  0.234472
2021-09-22 16:44:20.931430 : Epoch  7, Batch    712, Loss  0.865784, Average Loss  0.868499, Time  0.234963
2021-09-22 16:44:23.542245 : Epoch  7, Batch    713, Loss  0.883141, Average Loss  0.868442, Time  0.234585
2021-09-22 16:44:26.148991 : Epoch  7, Batch    714, Loss  0.866289, Average Loss  0.868423, Time  0.234639
2021-09-22 16:44:28.744892 : Epoch  7, Batch    715, Loss  0.875961, Average Loss  0.868464, Time  0.234217
2021-09-22 16:44:31.370854 : Epoch  7, Batch    716, Loss  0.876549, Average Loss  0.868509, Time  0.234147
2021-09-22 16:44:33.973480 : Epoch  7, Batch    717, Loss  0.868042, Average Loss  0.868463, Time  0.234201
2021-09-22 16:44:36.572907 : Epoch  7, Batch    718, Loss  0.864765, Average Loss  0.868469, Time  0.234424
2021-09-22 16:44:39.169733 : Epoch  7, Batch    719, Loss  0.881341, Average Loss  0.868643, Time  0.234947
2021-09-22 16:44:41.772505 : Epoch  7, Batch    720, Loss  0.889047, Average Loss  0.868752, Time  0.234332
2021-09-22 16:44:44.368213 : Epoch  7, Batch    721, Loss  0.864666, Average Loss  0.868718, Time  0.234197
2021-09-22 16:44:46.954416 : Epoch  7, Batch    722, Loss  0.869572, Average Loss  0.868722, Time  0.234587
2021-09-22 16:44:49.553211 : Epoch  7, Batch    723, Loss  0.846843, Average Loss  0.868697, Time  0.234576
2021-09-22 16:44:52.136480 : Epoch  7, Batch    724, Loss  0.865117, Average Loss  0.868593, Time  0.234795
2021-09-22 16:44:54.727244 : Epoch  7, Batch    725, Loss  0.869912, Average Loss  0.868555, Time  0.234432
2021-09-22 16:44:57.332736 : Epoch  7, Batch    726, Loss  0.857408, Average Loss  0.868456, Time  0.234510
2021-09-22 16:44:59.928274 : Epoch  7, Batch    727, Loss  0.892314, Average Loss  0.868576, Time  0.234954
2021-09-22 16:45:02.537405 : Epoch  7, Batch    728, Loss  0.889452, Average Loss  0.868732, Time  0.235367
2021-09-22 16:45:05.148273 : Epoch  7, Batch    729, Loss  0.877442, Average Loss  0.868820, Time  0.235397
2021-09-22 16:45:07.757252 : Epoch  7, Batch    730, Loss  0.856346, Average Loss  0.868711, Time  0.234678
2021-09-22 16:45:10.353294 : Epoch  7, Batch    731, Loss  0.871580, Average Loss  0.868574, Time  0.234891
2021-09-22 16:45:12.946052 : Epoch  7, Batch    732, Loss  0.869998, Average Loss  0.868578, Time  0.234535
2021-09-22 16:45:15.541014 : Epoch  7, Batch    733, Loss  0.864886, Average Loss  0.868629, Time  0.234828
2021-09-22 16:45:18.128710 : Epoch  7, Batch    734, Loss  0.869168, Average Loss  0.868569, Time  0.234446
2021-09-22 16:45:20.722732 : Epoch  7, Batch    735, Loss  0.874112, Average Loss  0.868563, Time  0.234768
2021-09-22 16:45:23.321752 : Epoch  7, Batch    736, Loss  0.876128, Average Loss  0.868630, Time  0.235562
2021-09-22 16:45:25.912983 : Epoch  7, Batch    737, Loss  0.873205, Average Loss  0.868718, Time  0.234573
2021-09-22 16:45:28.504025 : Epoch  7, Batch    738, Loss  0.865271, Average Loss  0.868693, Time  0.234990
2021-09-22 16:45:31.128797 : Epoch  7, Batch    739, Loss  0.857506, Average Loss  0.868690, Time  0.234853
2021-09-22 16:45:33.719853 : Epoch  7, Batch    740, Loss  0.864366, Average Loss  0.868551, Time  0.234220
2021-09-22 16:45:36.331234 : Epoch  7, Batch    741, Loss  0.848395, Average Loss  0.868467, Time  0.234512
2021-09-22 16:45:38.940749 : Epoch  7, Batch    742, Loss  0.868405, Average Loss  0.868415, Time  0.234243
2021-09-22 16:45:41.540252 : Epoch  7, Batch    743, Loss  0.868829, Average Loss  0.868371, Time  0.234283
2021-09-22 16:45:44.131367 : Epoch  7, Batch    744, Loss  0.878130, Average Loss  0.868444, Time  0.233995
2021-09-22 16:45:46.732039 : Epoch  7, Batch    745, Loss  0.882654, Average Loss  0.868548, Time  0.234576
2021-09-22 16:45:49.341290 : Epoch  7, Batch    746, Loss  0.869322, Average Loss  0.868504, Time  0.235049
2021-09-22 16:45:51.946189 : Epoch  7, Batch    747, Loss  0.884422, Average Loss  0.868710, Time  0.234387
2021-09-22 16:45:54.552587 : Epoch  7, Batch    748, Loss  0.849432, Average Loss  0.868534, Time  0.234369
2021-09-22 16:45:57.227911 : Epoch  7, Batch    749, Loss  0.863822, Average Loss  0.868589, Time  0.236284
2021-09-22 16:45:59.820968 : Epoch  7, Batch    750, Loss  0.865940, Average Loss  0.868617, Time  0.232909
2021-09-22 16:46:02.390712 : Epoch  7, Batch    751, Loss  0.867827, Average Loss  0.868608, Time  0.233216
2021-09-22 16:46:04.977862 : Epoch  7, Batch    752, Loss  0.856868, Average Loss  0.868553, Time  0.233590
2021-09-22 16:46:07.558690 : Epoch  7, Batch    753, Loss  0.891759, Average Loss  0.868625, Time  0.233500
2021-09-22 16:46:10.134125 : Epoch  7, Batch    754, Loss  0.881483, Average Loss  0.868730, Time  0.233440
2021-09-22 16:46:12.706225 : Epoch  7, Batch    755, Loss  0.856202, Average Loss  0.868679, Time  0.233115
2021-09-22 16:46:15.327453 : Epoch  7, Batch    756, Loss  0.873447, Average Loss  0.868732, Time  0.242081
2021-09-22 16:46:17.923819 : Epoch  7, Batch    757, Loss  0.838333, Average Loss  0.868635, Time  0.233961
2021-09-22 16:46:20.491196 : Epoch  7, Batch    758, Loss  0.857565, Average Loss  0.868601, Time  0.234435
2021-09-22 16:46:23.067929 : Epoch  7, Batch    759, Loss  0.877998, Average Loss  0.868638, Time  0.233716
2021-09-22 16:46:25.639675 : Epoch  7, Batch    760, Loss  0.862688, Average Loss  0.868585, Time  0.232856
2021-09-22 16:46:28.228787 : Epoch  7, Batch    761, Loss  0.869211, Average Loss  0.868628, Time  0.233034
2021-09-22 16:46:30.810783 : Epoch  7, Batch    762, Loss  0.881673, Average Loss  0.868582, Time  0.232936
2021-09-22 16:46:33.380513 : Epoch  7, Batch    763, Loss  0.880126, Average Loss  0.868605, Time  0.233173
2021-09-22 16:46:35.954960 : Epoch  7, Batch    764, Loss  0.864307, Average Loss  0.868660, Time  0.233055
2021-09-22 16:50:34.449699 : CheckPoint: Validation Loss  0.00030350, Best Loss  0.00029393
2021-09-22 16:50:37.027121 : Epoch  7, Batch    765, Loss  0.877273, Average Loss  0.868734, Time  0.236518
2021-09-22 16:50:39.626238 : Epoch  7, Batch    766, Loss  0.883997, Average Loss  0.868826, Time  0.234473
2021-09-22 16:50:42.213233 : Epoch  7, Batch    767, Loss  0.874036, Average Loss  0.868821, Time  0.235102
2021-09-22 16:50:44.797030 : Epoch  7, Batch    768, Loss  0.867535, Average Loss  0.868863, Time  0.238849
2021-09-22 16:50:47.390030 : Epoch  7, Batch    769, Loss  0.873714, Average Loss  0.868976, Time  0.235044
2021-09-22 16:50:49.983888 : Epoch  7, Batch    770, Loss  0.857925, Average Loss  0.868924, Time  0.235237
2021-09-22 16:50:52.588749 : Epoch  7, Batch    771, Loss  0.864312, Average Loss  0.868891, Time  0.235198
2021-09-22 16:50:55.187256 : Epoch  7, Batch    772, Loss  0.876711, Average Loss  0.869080, Time  0.233689
2021-09-22 16:50:57.786881 : Epoch  7, Batch    773, Loss  0.874365, Average Loss  0.869049, Time  0.238662
2021-09-22 16:51:00.375916 : Epoch  7, Batch    774, Loss  0.870873, Average Loss  0.869012, Time  0.237367
2021-09-22 16:51:02.959446 : Epoch  7, Batch    775, Loss  0.873436, Average Loss  0.869047, Time  0.234659
2021-09-22 16:51:05.558775 : Epoch  7, Batch    776, Loss  0.873226, Average Loss  0.869115, Time  0.234196
2021-09-22 16:51:08.148245 : Epoch  7, Batch    777, Loss  0.907252, Average Loss  0.869289, Time  0.234864
2021-09-22 16:51:10.734467 : Epoch  7, Batch    778, Loss  0.857451, Average Loss  0.869219, Time  0.234090
2021-09-22 16:51:13.330711 : Epoch  7, Batch    779, Loss  0.860743, Average Loss  0.869207, Time  0.235347
2021-09-22 16:51:15.922240 : Epoch  7, Batch    780, Loss  0.869753, Average Loss  0.869211, Time  0.234096
2021-09-22 16:51:18.525212 : Epoch  7, Batch    781, Loss  0.886287, Average Loss  0.869316, Time  0.236990
2021-09-22 16:51:21.135276 : Epoch  7, Batch    782, Loss  0.866844, Average Loss  0.869400, Time  0.234009
2021-09-22 16:51:23.730088 : Epoch  7, Batch    783, Loss  0.878924, Average Loss  0.869483, Time  0.234814
2021-09-22 16:51:26.312499 : Epoch  7, Batch    784, Loss  0.868798, Average Loss  0.869600, Time  0.234913
2021-09-22 16:51:28.905259 : Epoch  7, Batch    785, Loss  0.876671, Average Loss  0.869719, Time  0.236528
2021-09-22 16:51:31.509770 : Epoch  7, Batch    786, Loss  0.860026, Average Loss  0.869651, Time  0.235652
2021-09-22 16:51:34.100290 : Epoch  7, Batch    787, Loss  0.863377, Average Loss  0.869607, Time  0.235651
2021-09-22 16:51:36.708807 : Epoch  7, Batch    788, Loss  0.866825, Average Loss  0.869567, Time  0.241254
2021-09-22 16:51:39.304743 : Epoch  7, Batch    789, Loss  0.861474, Average Loss  0.869618, Time  0.236154
2021-09-22 16:51:41.893872 : Epoch  7, Batch    790, Loss  0.845054, Average Loss  0.869505, Time  0.235773
2021-09-22 16:51:44.500895 : Epoch  7, Batch    791, Loss  0.877068, Average Loss  0.869545, Time  0.235143
2021-09-22 16:51:47.088381 : Epoch  7, Batch    792, Loss  0.860367, Average Loss  0.869482, Time  0.234822
2021-09-22 16:51:49.671715 : Epoch  7, Batch    793, Loss  0.840191, Average Loss  0.869367, Time  0.234013
2021-09-22 16:51:52.259437 : Epoch  7, Batch    794, Loss  0.867736, Average Loss  0.869422, Time  0.234473
2021-09-22 16:51:54.853134 : Epoch  7, Batch    795, Loss  0.869464, Average Loss  0.869562, Time  0.234878
2021-09-22 16:51:57.439696 : Epoch  7, Batch    796, Loss  0.876335, Average Loss  0.869506, Time  0.233727
2021-09-22 16:52:00.041833 : Epoch  7, Batch    797, Loss  0.879626, Average Loss  0.869327, Time  0.235641
2021-09-22 16:52:02.620823 : Epoch  7, Batch    798, Loss  0.845105, Average Loss  0.869169, Time  0.234709
2021-09-22 16:52:05.218853 : Epoch  7, Batch    799, Loss  0.871103, Average Loss  0.869175, Time  0.234751
2021-09-22 16:52:07.806411 : Epoch  7, Batch    800, Loss  0.875843, Average Loss  0.869339, Time  0.235217
2021-09-22 16:52:10.391284 : Epoch  7, Batch    801, Loss  0.868497, Average Loss  0.869371, Time  0.235107
2021-09-22 16:52:12.977872 : Epoch  7, Batch    802, Loss  0.860551, Average Loss  0.869451, Time  0.238288
2021-09-22 16:52:15.572822 : Epoch  7, Batch    803, Loss  0.849409, Average Loss  0.869354, Time  0.235219
2021-09-22 16:52:18.154455 : Epoch  7, Batch    804, Loss  0.863253, Average Loss  0.869326, Time  0.233609
2021-09-22 16:52:20.747693 : Epoch  7, Batch    805, Loss  0.883388, Average Loss  0.869377, Time  0.234016
2021-09-22 16:52:23.339228 : Epoch  7, Batch    806, Loss  0.871140, Average Loss  0.869268, Time  0.234204
2021-09-22 16:52:25.934950 : Epoch  7, Batch    807, Loss  0.860393, Average Loss  0.869144, Time  0.234597
2021-09-22 16:52:28.525335 : Epoch  7, Batch    808, Loss  0.844994, Average Loss  0.869054, Time  0.235629
2021-09-22 16:52:31.114023 : Epoch  7, Batch    809, Loss  0.866905, Average Loss  0.868985, Time  0.234782
2021-09-22 16:52:33.708526 : Epoch  7, Batch    810, Loss  0.887682, Average Loss  0.869116, Time  0.235204
2021-09-22 16:52:36.307942 : Epoch  7, Batch    811, Loss  0.853920, Average Loss  0.869095, Time  0.234985
2021-09-22 16:52:38.913897 : Epoch  7, Batch    812, Loss  0.859140, Average Loss  0.868965, Time  0.237702
2021-09-22 16:52:41.513744 : Epoch  7, Batch    813, Loss  0.855905, Average Loss  0.868898, Time  0.236671
2021-09-22 16:52:44.098301 : Epoch  7, Batch    814, Loss  0.862037, Average Loss  0.868821, Time  0.235596
2021-09-22 16:52:46.689234 : Epoch  7, Batch    815, Loss  0.865718, Average Loss  0.868774, Time  0.235474
2021-09-22 16:52:49.303221 : Epoch  7, Batch    816, Loss  0.895498, Average Loss  0.868948, Time  0.236113
2021-09-22 16:52:51.921262 : Epoch  7, Batch    817, Loss  0.887283, Average Loss  0.869048, Time  0.234333
2021-09-22 16:52:54.507940 : Epoch  7, Batch    818, Loss  0.850318, Average Loss  0.869010, Time  0.235642
2021-09-22 16:52:57.113912 : Epoch  7, Batch    819, Loss  0.907566, Average Loss  0.869213, Time  0.234392
2021-09-22 16:52:59.717066 : Epoch  7, Batch    820, Loss  0.858897, Average Loss  0.869135, Time  0.235693
2021-09-22 16:53:02.307843 : Epoch  7, Batch    821, Loss  0.884598, Average Loss  0.869189, Time  0.234367
2021-09-22 16:53:04.894766 : Epoch  7, Batch    822, Loss  0.862250, Average Loss  0.869097, Time  0.237811
2021-09-22 16:53:07.481247 : Epoch  7, Batch    823, Loss  0.869486, Average Loss  0.869092, Time  0.234654
2021-09-22 16:53:10.075282 : Epoch  7, Batch    824, Loss  0.877077, Average Loss  0.869040, Time  0.234267
2021-09-22 16:53:12.661772 : Epoch  7, Batch    825, Loss  0.863977, Average Loss  0.868972, Time  0.234771
2021-09-22 16:53:15.258499 : Epoch  7, Batch    826, Loss  0.836197, Average Loss  0.868829, Time  0.234457
2021-09-22 16:53:17.837971 : Epoch  7, Batch    827, Loss  0.874133, Average Loss  0.868832, Time  0.234710
2021-09-22 16:53:20.420916 : Epoch  7, Batch    828, Loss  0.881304, Average Loss  0.868872, Time  0.235306
2021-09-22 16:53:23.017239 : Epoch  7, Batch    829, Loss  0.853738, Average Loss  0.868733, Time  0.237533
2021-09-22 16:53:25.604045 : Epoch  7, Batch    830, Loss  0.883036, Average Loss  0.868768, Time  0.234581
2021-09-22 16:53:28.195887 : Epoch  7, Batch    831, Loss  0.855231, Average Loss  0.868699, Time  0.235207
2021-09-22 16:53:30.799752 : Epoch  7, Batch    832, Loss  0.870991, Average Loss  0.868672, Time  0.235773
2021-09-22 16:53:33.394041 : Epoch  7, Batch    833, Loss  0.901794, Average Loss  0.868793, Time  0.237164
2021-09-22 16:53:35.998287 : Epoch  7, Batch    834, Loss  0.863879, Average Loss  0.868826, Time  0.234369
2021-09-22 16:53:38.590286 : Epoch  7, Batch    835, Loss  0.871112, Average Loss  0.868834, Time  0.234673
2021-09-22 16:53:41.201396 : Epoch  7, Batch    836, Loss  0.866177, Average Loss  0.868824, Time  0.237670
2021-09-22 16:53:43.792236 : Epoch  7, Batch    837, Loss  0.871630, Average Loss  0.868798, Time  0.235401
2021-09-22 16:53:46.387297 : Epoch  7, Batch    838, Loss  0.876989, Average Loss  0.868761, Time  0.234200
2021-09-22 16:53:48.980988 : Epoch  7, Batch    839, Loss  0.847600, Average Loss  0.868576, Time  0.234356
2021-09-22 16:53:51.580273 : Epoch  7, Batch    840, Loss  0.870885, Average Loss  0.868564, Time  0.234258
2021-09-22 16:53:54.202866 : Epoch  7, Batch    841, Loss  0.884068, Average Loss  0.868690, Time  0.240605
2021-09-22 16:53:56.804300 : Epoch  7, Batch    842, Loss  0.857600, Average Loss  0.868627, Time  0.234572
2021-09-22 16:53:59.411282 : Epoch  7, Batch    843, Loss  0.862355, Average Loss  0.868635, Time  0.235712
2021-09-22 16:54:02.007815 : Epoch  7, Batch    844, Loss  0.879752, Average Loss  0.868717, Time  0.235298
2021-09-22 16:54:04.590758 : Epoch  7, Batch    845, Loss  0.852645, Average Loss  0.868705, Time  0.234852
2021-09-22 16:54:07.204759 : Epoch  7, Batch    846, Loss  0.858211, Average Loss  0.868608, Time  0.244276
2021-09-22 16:54:09.796342 : Epoch  7, Batch    847, Loss  0.871041, Average Loss  0.868694, Time  0.234721
2021-09-22 16:54:12.405996 : Epoch  7, Batch    848, Loss  0.858225, Average Loss  0.868731, Time  0.237635
2021-09-22 16:54:15.000822 : Epoch  7, Batch    849, Loss  0.858336, Average Loss  0.868628, Time  0.238650
2021-09-22 16:54:17.599245 : Epoch  7, Batch    850, Loss  0.864044, Average Loss  0.868592, Time  0.233909
2021-09-22 16:54:20.201289 : Epoch  7, Batch    851, Loss  0.881388, Average Loss  0.868703, Time  0.236585
2021-09-22 16:54:22.796311 : Epoch  7, Batch    852, Loss  0.861362, Average Loss  0.868646, Time  0.234114
2021-09-22 16:54:25.391895 : Epoch  7, Batch    853, Loss  0.882375, Average Loss  0.868689, Time  0.234519
2021-09-22 16:54:27.982123 : Epoch  7, Batch    854, Loss  0.877680, Average Loss  0.868630, Time  0.235360
2021-09-22 16:54:30.569833 : Epoch  7, Batch    855, Loss  0.885344, Average Loss  0.868759, Time  0.234337
2021-09-22 16:54:33.187884 : Epoch  7, Batch    856, Loss  0.860951, Average Loss  0.868717, Time  0.234888
2021-09-22 16:54:35.792784 : Epoch  7, Batch    857, Loss  0.864124, Average Loss  0.868726, Time  0.234487
2021-09-22 16:54:38.396737 : Epoch  7, Batch    858, Loss  0.852156, Average Loss  0.868728, Time  0.234539
2021-09-22 16:54:40.998779 : Epoch  7, Batch    859, Loss  0.868328, Average Loss  0.868650, Time  0.235759
2021-09-22 16:54:43.591740 : Epoch  7, Batch    860, Loss  0.862198, Average Loss  0.868576, Time  0.237459
2021-09-22 16:54:46.172198 : Epoch  7, Batch    861, Loss  0.850126, Average Loss  0.868523, Time  0.234034
2021-09-22 16:54:48.772752 : Epoch  7, Batch    862, Loss  0.872171, Average Loss  0.868497, Time  0.237712
2021-09-22 16:54:51.365196 : Epoch  7, Batch    863, Loss  0.861008, Average Loss  0.868460, Time  0.234041
2021-09-22 16:55:00.075467 : Epoch  7, Batch    864, Loss  0.870364, Average Loss  0.868408, Time  0.267099
2021-09-22 16:58:59.505719 : CheckPoint: Validation Loss  0.00030499, Best Loss  0.00029393
2021-09-22 16:59:02.086923 : Epoch  7, Batch    865, Loss  0.858912, Average Loss  0.868311, Time  0.234450
2021-09-22 16:59:04.680217 : Epoch  7, Batch    866, Loss  0.867808, Average Loss  0.868272, Time  0.233934
2021-09-22 16:59:07.271251 : Epoch  7, Batch    867, Loss  0.863511, Average Loss  0.868180, Time  0.234279
2021-09-22 16:59:09.866499 : Epoch  7, Batch    868, Loss  0.880666, Average Loss  0.868221, Time  0.234525
2021-09-22 16:59:12.469220 : Epoch  7, Batch    869, Loss  0.877508, Average Loss  0.868289, Time  0.234702
2021-09-22 16:59:15.073465 : Epoch  7, Batch    870, Loss  0.838690, Average Loss  0.868361, Time  0.234438
2021-09-22 16:59:17.678742 : Epoch  7, Batch    871, Loss  0.860793, Average Loss  0.868217, Time  0.237655
2021-09-22 16:59:20.275228 : Epoch  7, Batch    872, Loss  0.848189, Average Loss  0.868040, Time  0.234138
2021-09-22 16:59:22.872232 : Epoch  7, Batch    873, Loss  0.862485, Average Loss  0.867988, Time  0.234662
2021-09-22 16:59:25.469262 : Epoch  7, Batch    874, Loss  0.867319, Average Loss  0.868053, Time  0.235162
2021-09-22 16:59:28.071809 : Epoch  7, Batch    875, Loss  0.863693, Average Loss  0.868008, Time  0.237327
2021-09-22 16:59:30.661805 : Epoch  7, Batch    876, Loss  0.890067, Average Loss  0.868106, Time  0.234782
2021-09-22 16:59:33.259550 : Epoch  7, Batch    877, Loss  0.840590, Average Loss  0.867998, Time  0.235000
2021-09-22 16:59:35.848284 : Epoch  7, Batch    878, Loss  0.861904, Average Loss  0.867930, Time  0.233768
2021-09-22 16:59:38.447449 : Epoch  7, Batch    879, Loss  0.858767, Average Loss  0.867845, Time  0.234663
2021-09-22 16:59:41.053805 : Epoch  7, Batch    880, Loss  0.849137, Average Loss  0.867739, Time  0.236150
2021-09-22 16:59:43.653268 : Epoch  7, Batch    881, Loss  0.881573, Average Loss  0.867880, Time  0.234695
2021-09-22 16:59:46.255926 : Epoch  7, Batch    882, Loss  0.874109, Average Loss  0.867988, Time  0.235854
2021-09-22 16:59:48.849871 : Epoch  7, Batch    883, Loss  0.870227, Average Loss  0.867994, Time  0.234973
2021-09-22 16:59:51.454873 : Epoch  7, Batch    884, Loss  0.875574, Average Loss  0.868067, Time  0.237960
2021-09-22 16:59:54.051248 : Epoch  7, Batch    885, Loss  0.870151, Average Loss  0.868087, Time  0.234667
2021-09-22 16:59:56.654762 : Epoch  7, Batch    886, Loss  0.886617, Average Loss  0.868189, Time  0.237231
2021-09-22 16:59:59.271299 : Epoch  7, Batch    887, Loss  0.877081, Average Loss  0.868190, Time  0.234487
2021-09-22 17:00:01.868753 : Epoch  7, Batch    888, Loss  0.880371, Average Loss  0.868301, Time  0.234732
2021-09-22 17:00:04.456185 : Epoch  7, Batch    889, Loss  0.864215, Average Loss  0.868192, Time  0.234812
2021-09-22 17:00:07.054299 : Epoch  7, Batch    890, Loss  0.870624, Average Loss  0.868138, Time  0.235007
2021-09-22 17:00:09.644933 : Epoch  7, Batch    891, Loss  0.883596, Average Loss  0.868228, Time  0.234372
2021-09-22 17:00:12.267467 : Epoch  7, Batch    892, Loss  0.870877, Average Loss  0.868311, Time  0.233862
2021-09-22 17:00:14.862869 : Epoch  7, Batch    893, Loss  0.876092, Average Loss  0.868473, Time  0.235251
2021-09-22 17:00:17.464534 : Epoch  7, Batch    894, Loss  0.852370, Average Loss  0.868309, Time  0.234568
2021-09-22 17:00:20.056378 : Epoch  7, Batch    895, Loss  0.877693, Average Loss  0.868370, Time  0.234387
2021-09-22 17:00:22.653846 : Epoch  7, Batch    896, Loss  0.858720, Average Loss  0.868349, Time  0.234642
2021-09-22 17:00:25.250902 : Epoch  7, Batch    897, Loss  0.861598, Average Loss  0.868358, Time  0.237578
2021-09-22 17:00:27.838791 : Epoch  7, Batch    898, Loss  0.839516, Average Loss  0.868211, Time  0.235435
2021-09-22 17:00:30.433778 : Epoch  7, Batch    899, Loss  0.874236, Average Loss  0.868152, Time  0.235107
2021-09-22 17:00:33.027009 : Epoch  7, Batch    900, Loss  0.855294, Average Loss  0.868039, Time  0.235062
2021-09-22 17:00:35.623830 : Epoch  7, Batch    901, Loss  0.879854, Average Loss  0.868213, Time  0.236240
2021-09-22 17:00:38.225632 : Epoch  7, Batch    902, Loss  0.858404, Average Loss  0.868237, Time  0.235173
2021-09-22 17:00:40.835497 : Epoch  7, Batch    903, Loss  0.890607, Average Loss  0.868364, Time  0.235091
2021-09-22 17:00:43.436386 : Epoch  7, Batch    904, Loss  0.839975, Average Loss  0.868248, Time  0.234706
2021-09-22 17:00:46.031007 : Epoch  7, Batch    905, Loss  0.869927, Average Loss  0.868279, Time  0.235105
2021-09-22 17:00:48.626856 : Epoch  7, Batch    906, Loss  0.865328, Average Loss  0.868340, Time  0.234964
2021-09-22 17:00:51.215222 : Epoch  7, Batch    907, Loss  0.871674, Average Loss  0.868318, Time  0.234196
2021-09-22 17:00:53.815082 : Epoch  7, Batch    908, Loss  0.879871, Average Loss  0.868329, Time  0.234707
2021-09-22 17:00:56.417823 : Epoch  7, Batch    909, Loss  0.869992, Average Loss  0.868383, Time  0.241718
2021-09-22 17:00:59.007239 : Epoch  7, Batch    910, Loss  0.873205, Average Loss  0.868355, Time  0.234869
2021-09-22 17:01:01.616808 : Epoch  7, Batch    911, Loss  0.878363, Average Loss  0.868415, Time  0.235235
2021-09-22 17:01:04.205108 : Epoch  7, Batch    912, Loss  0.857366, Average Loss  0.868373, Time  0.234373
2021-09-22 17:01:06.790676 : Epoch  7, Batch    913, Loss  0.850202, Average Loss  0.868208, Time  0.239843
2021-09-22 17:01:09.384849 : Epoch  7, Batch    914, Loss  0.881902, Average Loss  0.868286, Time  0.234088
2021-09-22 17:01:11.975798 : Epoch  7, Batch    915, Loss  0.870245, Average Loss  0.868258, Time  0.235474
2021-09-22 17:01:14.559960 : Epoch  7, Batch    916, Loss  0.871108, Average Loss  0.868230, Time  0.235615
2021-09-22 17:01:17.179025 : Epoch  7, Batch    917, Loss  0.887221, Average Loss  0.868326, Time  0.234653
2021-09-22 17:01:19.772847 : Epoch  7, Batch    918, Loss  0.880724, Average Loss  0.868406, Time  0.235371
2021-09-22 17:01:22.364278 : Epoch  7, Batch    919, Loss  0.892967, Average Loss  0.868464, Time  0.234672
2021-09-22 17:01:24.956246 : Epoch  7, Batch    920, Loss  0.861827, Average Loss  0.868328, Time  0.234445
2021-09-22 17:01:27.563815 : Epoch  7, Batch    921, Loss  0.854750, Average Loss  0.868278, Time  0.235670
2021-09-22 17:01:30.147764 : Epoch  7, Batch    922, Loss  0.866741, Average Loss  0.868264, Time  0.234311
2021-09-22 17:01:32.736209 : Epoch  7, Batch    923, Loss  0.892608, Average Loss  0.868493, Time  0.234365
2021-09-22 17:01:35.321557 : Epoch  7, Batch    924, Loss  0.898823, Average Loss  0.868662, Time  0.234411
2021-09-22 17:01:37.922050 : Epoch  7, Batch    925, Loss  0.883165, Average Loss  0.868728, Time  0.235819
2021-09-22 17:01:40.512046 : Epoch  7, Batch    926, Loss  0.874147, Average Loss  0.868812, Time  0.234216
2021-09-22 17:01:43.105164 : Epoch  7, Batch    927, Loss  0.869640, Average Loss  0.868698, Time  0.234289
2021-09-22 17:01:45.703748 : Epoch  7, Batch    928, Loss  0.885152, Average Loss  0.868677, Time  0.235309
2021-09-22 17:01:48.312842 : Epoch  7, Batch    929, Loss  0.869974, Average Loss  0.868639, Time  0.236417
2021-09-22 17:01:50.911207 : Epoch  7, Batch    930, Loss  0.882893, Average Loss  0.868772, Time  0.233984
2021-09-22 17:01:53.500832 : Epoch  7, Batch    931, Loss  0.869105, Average Loss  0.868760, Time  0.233794
2021-09-22 17:01:56.096080 : Epoch  7, Batch    932, Loss  0.883746, Average Loss  0.868829, Time  0.235367
2021-09-22 17:01:58.691001 : Epoch  7, Batch    933, Loss  0.884801, Average Loss  0.868928, Time  0.234618
2021-09-22 17:02:01.286782 : Epoch  7, Batch    934, Loss  0.848301, Average Loss  0.868824, Time  0.235519
2021-09-22 17:02:03.890237 : Epoch  7, Batch    935, Loss  0.857059, Average Loss  0.868738, Time  0.234504
2021-09-22 17:02:06.500953 : Epoch  7, Batch    936, Loss  0.867746, Average Loss  0.868697, Time  0.237881
2021-09-22 17:02:09.096832 : Epoch  7, Batch    937, Loss  0.877582, Average Loss  0.868718, Time  0.235428
2021-09-22 17:02:11.680149 : Epoch  7, Batch    938, Loss  0.879980, Average Loss  0.868792, Time  0.234794
2021-09-22 17:02:14.293056 : Epoch  7, Batch    939, Loss  0.860088, Average Loss  0.868805, Time  0.235132
2021-09-22 17:02:16.876363 : Epoch  7, Batch    940, Loss  0.870537, Average Loss  0.868836, Time  0.234242
2021-09-22 17:02:19.486107 : Epoch  7, Batch    941, Loss  0.884029, Average Loss  0.869014, Time  0.234632
2021-09-22 17:02:22.087299 : Epoch  7, Batch    942, Loss  0.848024, Average Loss  0.868912, Time  0.233927
2021-09-22 17:02:24.714447 : Epoch  7, Batch    943, Loss  0.846862, Average Loss  0.868802, Time  0.234503
2021-09-22 17:02:27.306815 : Epoch  7, Batch    944, Loss  0.874557, Average Loss  0.868784, Time  0.234912
2021-09-22 17:02:29.899495 : Epoch  7, Batch    945, Loss  0.871116, Average Loss  0.868727, Time  0.234551
2021-09-22 17:02:32.513910 : Epoch  7, Batch    946, Loss  0.882144, Average Loss  0.868791, Time  0.234750
2021-09-22 17:02:35.114281 : Epoch  7, Batch    947, Loss  0.874164, Average Loss  0.868739, Time  0.234150
2021-09-22 17:02:37.709816 : Epoch  7, Batch    948, Loss  0.848321, Average Loss  0.868734, Time  0.234075
2021-09-22 17:02:40.302484 : Epoch  7, Batch    949, Loss  0.879325, Average Loss  0.868811, Time  0.234265
2021-09-22 17:02:42.896851 : Epoch  7, Batch    950, Loss  0.864632, Average Loss  0.868805, Time  0.235442
2021-09-22 17:02:45.507555 : Epoch  7, Batch    951, Loss  0.891158, Average Loss  0.868922, Time  0.235664
2021-09-22 17:02:48.113840 : Epoch  7, Batch    952, Loss  0.871094, Average Loss  0.868993, Time  0.235593
2021-09-22 17:02:50.709290 : Epoch  7, Batch    953, Loss  0.855650, Average Loss  0.868812, Time  0.234550
2021-09-22 17:02:53.310984 : Epoch  7, Batch    954, Loss  0.867722, Average Loss  0.868743, Time  0.234635
2021-09-22 17:02:55.910044 : Epoch  7, Batch    955, Loss  0.870576, Average Loss  0.868815, Time  0.234576
2021-09-22 17:02:58.529268 : Epoch  7, Batch    956, Loss  0.863854, Average Loss  0.868767, Time  0.234932
2021-09-22 17:03:01.151067 : Epoch  7, Batch    957, Loss  0.870336, Average Loss  0.868927, Time  0.234678
2021-09-22 17:03:03.759792 : Epoch  7, Batch    958, Loss  0.869628, Average Loss  0.868988, Time  0.238739
2021-09-22 17:03:06.360850 : Epoch  7, Batch    959, Loss  0.848741, Average Loss  0.868841, Time  0.235653
2021-09-22 17:03:08.955901 : Epoch  7, Batch    960, Loss  0.862777, Average Loss  0.868842, Time  0.234424
2021-09-22 17:03:11.567790 : Epoch  7, Batch    961, Loss  0.891701, Average Loss  0.868954, Time  0.239036
2021-09-22 17:03:14.156142 : Epoch  7, Batch    962, Loss  0.883977, Average Loss  0.868966, Time  0.235747
2021-09-22 17:03:16.771187 : Epoch  7, Batch    963, Loss  0.876014, Average Loss  0.868945, Time  0.237493
2021-09-22 17:03:19.364202 : Epoch  7, Batch    964, Loss  0.869385, Average Loss  0.868971, Time  0.233757
2021-09-22 17:07:19.016739 : CheckPoint: Validation Loss  0.00030750, Best Loss  0.00029393
2021-09-22 17:07:21.614370 : Epoch  7, Batch    965, Loss  0.873430, Average Loss  0.868951, Time  0.235574
2021-09-22 17:07:24.206824 : Epoch  7, Batch    966, Loss  0.889125, Average Loss  0.868977, Time  0.235167
2021-09-22 17:07:26.808225 : Epoch  7, Batch    967, Loss  0.866729, Average Loss  0.868940, Time  0.235295
2021-09-22 17:07:29.400825 : Epoch  7, Batch    968, Loss  0.857066, Average Loss  0.868888, Time  0.234833
2021-09-22 17:07:32.000576 : Epoch  7, Batch    969, Loss  0.861839, Average Loss  0.868829, Time  0.234978
2021-09-22 17:07:34.596871 : Epoch  7, Batch    970, Loss  0.888648, Average Loss  0.868982, Time  0.234451
2021-09-22 17:07:37.193585 : Epoch  7, Batch    971, Loss  0.861811, Average Loss  0.868970, Time  0.235340
2021-09-22 17:07:39.800092 : Epoch  7, Batch    972, Loss  0.884032, Average Loss  0.869006, Time  0.235672
2021-09-22 17:07:42.407682 : Epoch  7, Batch    973, Loss  0.851062, Average Loss  0.868890, Time  0.234156
2021-09-22 17:07:45.012942 : Epoch  7, Batch    974, Loss  0.858627, Average Loss  0.868829, Time  0.234665
2021-09-22 17:07:47.621243 : Epoch  7, Batch    975, Loss  0.869264, Average Loss  0.868808, Time  0.234530
2021-09-22 17:07:50.225243 : Epoch  7, Batch    976, Loss  0.850345, Average Loss  0.868693, Time  0.235417
2021-09-22 17:07:52.831759 : Epoch  7, Batch    977, Loss  0.885631, Average Loss  0.868585, Time  0.234679
2021-09-22 17:07:55.438947 : Epoch  7, Batch    978, Loss  0.882810, Average Loss  0.868712, Time  0.234106
2021-09-22 17:07:58.034764 : Epoch  7, Batch    979, Loss  0.889774, Average Loss  0.868857, Time  0.235113
2021-09-22 17:08:00.634291 : Epoch  7, Batch    980, Loss  0.858818, Average Loss  0.868803, Time  0.234850
2021-09-22 17:08:03.223771 : Epoch  7, Batch    981, Loss  0.873598, Average Loss  0.868739, Time  0.236563
2021-09-22 17:08:05.825306 : Epoch  7, Batch    982, Loss  0.858306, Average Loss  0.868696, Time  0.234841
2021-09-22 17:08:08.416169 : Epoch  7, Batch    983, Loss  0.855555, Average Loss  0.868580, Time  0.235283
2021-09-22 17:08:11.015862 : Epoch  7, Batch    984, Loss  0.853339, Average Loss  0.868502, Time  0.234231
2021-09-22 17:08:13.616281 : Epoch  7, Batch    985, Loss  0.836938, Average Loss  0.868304, Time  0.234191
2021-09-22 17:08:16.220282 : Epoch  7, Batch    986, Loss  0.893498, Average Loss  0.868471, Time  0.234562
2021-09-22 17:08:18.828272 : Epoch  7, Batch    987, Loss  0.837200, Average Loss  0.868340, Time  0.235268
2021-09-22 17:08:21.422165 : Epoch  7, Batch    988, Loss  0.879609, Average Loss  0.868404, Time  0.234440
2021-09-22 17:08:24.009269 : Epoch  7, Batch    989, Loss  0.867741, Average Loss  0.868435, Time  0.234535
2021-09-22 17:08:26.602983 : Epoch  7, Batch    990, Loss  0.862318, Average Loss  0.868522, Time  0.234361
2021-09-22 17:08:29.208275 : Epoch  7, Batch    991, Loss  0.872369, Average Loss  0.868498, Time  0.235074
2021-09-22 17:08:31.795733 : Epoch  7, Batch    992, Loss  0.875178, Average Loss  0.868572, Time  0.237250
2021-09-22 17:08:34.393831 : Epoch  7, Batch    993, Loss  0.870445, Average Loss  0.868723, Time  0.235171
2021-09-22 17:08:36.986877 : Epoch  7, Batch    994, Loss  0.860253, Average Loss  0.868686, Time  0.236858
2021-09-22 17:08:39.579297 : Epoch  7, Batch    995, Loss  0.873254, Average Loss  0.868705, Time  0.234856
2021-09-22 17:08:42.175281 : Epoch  7, Batch    996, Loss  0.867892, Average Loss  0.868663, Time  0.236096
2021-09-22 17:08:44.770816 : Epoch  7, Batch    997, Loss  0.869992, Average Loss  0.868615, Time  0.234407
2021-09-22 17:08:47.364836 : Epoch  7, Batch    998, Loss  0.857813, Average Loss  0.868678, Time  0.234511
2021-09-22 17:08:49.963100 : Epoch  7, Batch    999, Loss  0.858422, Average Loss  0.868615, Time  0.236036
2021-09-22 17:08:52.566909 : Epoch  7, Batch   1000, Loss  0.868988, Average Loss  0.868581, Time  0.234630
2021-09-22 17:08:55.184110 : Epoch  7, Batch   1001, Loss  0.856221, Average Loss  0.868519, Time  0.235548
2021-09-22 17:08:57.802885 : Epoch  7, Batch   1002, Loss  0.872524, Average Loss  0.868579, Time  0.235541
2021-09-22 17:09:00.406270 : Epoch  7, Batch   1003, Loss  0.863208, Average Loss  0.868648, Time  0.234344
2021-09-22 17:09:02.996118 : Epoch  7, Batch   1004, Loss  0.901364, Average Loss  0.868839, Time  0.234537
2021-09-22 17:09:05.611925 : Epoch  7, Batch   1005, Loss  0.850213, Average Loss  0.868673, Time  0.234657
2021-09-22 17:09:08.218106 : Epoch  7, Batch   1006, Loss  0.880635, Average Loss  0.868720, Time  0.234600
2021-09-22 17:09:10.823975 : Epoch  7, Batch   1007, Loss  0.864178, Average Loss  0.868739, Time  0.235457
2021-09-22 17:09:13.440260 : Epoch  7, Batch   1008, Loss  0.855538, Average Loss  0.868792, Time  0.234344
2021-09-22 17:09:16.045269 : Epoch  7, Batch   1009, Loss  0.875685, Average Loss  0.868836, Time  0.235430
2021-09-22 17:09:18.646740 : Epoch  7, Batch   1010, Loss  0.886035, Average Loss  0.868827, Time  0.237817
2021-09-22 17:09:21.249298 : Epoch  7, Batch   1011, Loss  0.878528, Average Loss  0.868951, Time  0.237160
2021-09-22 17:09:23.853319 : Epoch  7, Batch   1012, Loss  0.870588, Average Loss  0.869008, Time  0.234946
2021-09-22 17:09:26.454085 : Epoch  7, Batch   1013, Loss  0.865947, Average Loss  0.869058, Time  0.237202
2021-09-22 17:09:29.051878 : Epoch  7, Batch   1014, Loss  0.854226, Average Loss  0.869019, Time  0.235492
2021-09-22 17:09:31.647800 : Epoch  7, Batch   1015, Loss  0.850591, Average Loss  0.868943, Time  0.235391
2021-09-22 17:09:34.256492 : Epoch  7, Batch   1016, Loss  0.855818, Average Loss  0.868745, Time  0.237816
2021-09-22 17:09:36.861143 : Epoch  7, Batch   1017, Loss  0.868939, Average Loss  0.868653, Time  0.241345
2021-09-22 17:09:39.467799 : Epoch  7, Batch   1018, Loss  0.866233, Average Loss  0.868733, Time  0.234896
2021-09-22 17:09:42.080263 : Epoch  7, Batch   1019, Loss  0.869459, Average Loss  0.868542, Time  0.235931
2021-09-22 17:09:44.686798 : Epoch  7, Batch   1020, Loss  0.860323, Average Loss  0.868549, Time  0.238047
2021-09-22 17:09:47.305308 : Epoch  7, Batch   1021, Loss  0.845567, Average Loss  0.868354, Time  0.235243
2021-09-22 17:09:49.902865 : Epoch  7, Batch   1022, Loss  0.871059, Average Loss  0.868398, Time  0.235046
2021-09-22 17:09:52.515303 : Epoch  7, Batch   1023, Loss  0.866083, Average Loss  0.868381, Time  0.236024
2021-09-22 17:09:55.112850 : Epoch  7, Batch   1024, Loss  0.874488, Average Loss  0.868368, Time  0.234571
2021-09-22 17:09:57.716720 : Epoch  7, Batch   1025, Loss  0.851573, Average Loss  0.868306, Time  0.234661
2021-09-22 17:10:00.343201 : Epoch  7, Batch   1026, Loss  0.865476, Average Loss  0.868453, Time  0.235120
2021-09-22 17:10:02.946471 : Epoch  7, Batch   1027, Loss  0.884071, Average Loss  0.868502, Time  0.235746
2021-09-22 17:10:05.543897 : Epoch  7, Batch   1028, Loss  0.847371, Average Loss  0.868333, Time  0.234262
2021-09-22 17:10:08.141905 : Epoch  7, Batch   1029, Loss  0.854455, Average Loss  0.868336, Time  0.236237
2021-09-22 17:10:10.756269 : Epoch  7, Batch   1030, Loss  0.861030, Average Loss  0.868226, Time  0.234621
2021-09-22 17:10:13.351018 : Epoch  7, Batch   1031, Loss  0.869555, Average Loss  0.868298, Time  0.235214
2021-09-22 17:10:15.972265 : Epoch  7, Batch   1032, Loss  0.865458, Average Loss  0.868270, Time  0.233709
2021-09-22 17:10:18.592296 : Epoch  7, Batch   1033, Loss  0.866961, Average Loss  0.868096, Time  0.234638
2021-09-22 17:10:21.173721 : Epoch  7, Batch   1034, Loss  0.859867, Average Loss  0.868076, Time  0.235143
2021-09-22 17:10:23.763705 : Epoch  7, Batch   1035, Loss  0.893360, Average Loss  0.868187, Time  0.234092
2021-09-22 17:10:26.354700 : Epoch  7, Batch   1036, Loss  0.883162, Average Loss  0.868272, Time  0.233109
2021-09-22 17:10:28.968960 : Epoch  7, Batch   1037, Loss  0.898912, Average Loss  0.868408, Time  0.235073
2021-09-22 17:10:31.567048 : Epoch  7, Batch   1038, Loss  0.891785, Average Loss  0.868482, Time  0.234658
2021-09-22 17:10:34.165057 : Epoch  7, Batch   1039, Loss  0.860924, Average Loss  0.868549, Time  0.235346
2021-09-22 17:10:36.757326 : Epoch  7, Batch   1040, Loss  0.864000, Average Loss  0.868515, Time  0.234270
2021-09-22 17:10:39.333978 : Epoch  7, Batch   1041, Loss  0.870837, Average Loss  0.868449, Time  0.234768
2021-09-22 17:10:41.931280 : Epoch  7, Batch   1042, Loss  0.857745, Average Loss  0.868449, Time  0.234107
2021-09-22 17:10:44.538534 : Epoch  7, Batch   1043, Loss  0.882255, Average Loss  0.868549, Time  0.235187
2021-09-22 17:10:47.134235 : Epoch  7, Batch   1044, Loss  0.858595, Average Loss  0.868443, Time  0.234104
2021-09-22 17:10:49.733993 : Epoch  7, Batch   1045, Loss  0.848194, Average Loss  0.868421, Time  0.234408
2021-09-22 17:10:52.330539 : Epoch  7, Batch   1046, Loss  0.881148, Average Loss  0.868535, Time  0.234239
2021-09-22 17:10:54.937196 : Epoch  7, Batch   1047, Loss  0.856867, Average Loss  0.868465, Time  0.235364
2021-09-22 17:10:57.534494 : Epoch  7, Batch   1048, Loss  0.856754, Average Loss  0.868457, Time  0.234011
2021-09-22 17:11:00.125725 : Epoch  7, Batch   1049, Loss  0.856303, Average Loss  0.868447, Time  0.238036
2021-09-22 17:11:02.724777 : Epoch  7, Batch   1050, Loss  0.861802, Average Loss  0.868436, Time  0.237251
2021-09-22 17:11:05.322983 : Epoch  7, Batch   1051, Loss  0.856956, Average Loss  0.868314, Time  0.235047
2021-09-22 17:11:07.915873 : Epoch  7, Batch   1052, Loss  0.868597, Average Loss  0.868350, Time  0.234479
2021-09-22 17:11:10.508930 : Epoch  7, Batch   1053, Loss  0.873701, Average Loss  0.868306, Time  0.235425
2021-09-22 17:11:13.108826 : Epoch  7, Batch   1054, Loss  0.864782, Average Loss  0.868242, Time  0.235573
2021-09-22 17:11:15.705801 : Epoch  7, Batch   1055, Loss  0.856423, Average Loss  0.868097, Time  0.235230
2021-09-22 17:11:18.300439 : Epoch  7, Batch   1056, Loss  0.877985, Average Loss  0.868183, Time  0.234320
2021-09-22 17:11:20.896840 : Epoch  7, Batch   1057, Loss  0.847058, Average Loss  0.868097, Time  0.234450
2021-09-22 17:11:23.507456 : Epoch  7, Batch   1058, Loss  0.872856, Average Loss  0.868201, Time  0.234009
2021-09-22 17:11:26.103782 : Epoch  7, Batch   1059, Loss  0.870456, Average Loss  0.868211, Time  0.235518
2021-09-22 17:11:28.700241 : Epoch  7, Batch   1060, Loss  0.870620, Average Loss  0.868253, Time  0.234898
2021-09-22 17:11:31.297059 : Epoch  7, Batch   1061, Loss  0.869246, Average Loss  0.868349, Time  0.234722
2021-09-22 17:11:33.896413 : Epoch  7, Batch   1062, Loss  0.879375, Average Loss  0.868385, Time  0.235033
2021-09-22 17:11:36.507101 : Epoch  7, Batch   1063, Loss  0.845848, Average Loss  0.868309, Time  0.236374
2021-09-22 17:11:39.108252 : Epoch  7, Batch   1064, Loss  0.870527, Average Loss  0.868310, Time  0.234509
2021-09-22 17:15:38.890675 : CheckPoint: Validation Loss  0.00030748, Best Loss  0.00029393
2021-09-22 17:15:41.508975 : Epoch  7, Batch   1065, Loss  0.865978, Average Loss  0.868345, Time  0.264642
2021-09-22 17:15:44.118930 : Epoch  7, Batch   1066, Loss  0.887716, Average Loss  0.868445, Time  0.247892
2021-09-22 17:15:46.697944 : Epoch  7, Batch   1067, Loss  0.878501, Average Loss  0.868520, Time  0.233122
2021-09-22 17:15:49.324808 : Epoch  7, Batch   1068, Loss  0.883564, Average Loss  0.868534, Time  0.233878
2021-09-22 17:15:51.929229 : Epoch  7, Batch   1069, Loss  0.872322, Average Loss  0.868508, Time  0.233056
2021-09-22 17:15:54.548294 : Epoch  7, Batch   1070, Loss  0.875747, Average Loss  0.868694, Time  0.237513
2021-09-22 17:15:57.285886 : Epoch  7, Batch   1071, Loss  0.853928, Average Loss  0.868659, Time  0.234873
2021-09-22 17:15:59.962038 : Epoch  7, Batch   1072, Loss  0.866744, Average Loss  0.868752, Time  0.235325
2021-09-22 17:16:02.559809 : Epoch  7, Batch   1073, Loss  0.863358, Average Loss  0.868757, Time  0.234288
2021-09-22 17:16:05.168039 : Epoch  7, Batch   1074, Loss  0.876616, Average Loss  0.868803, Time  0.233511
2021-09-22 17:16:07.784688 : Epoch  7, Batch   1075, Loss  0.867896, Average Loss  0.868824, Time  0.235110
2021-09-22 17:16:10.403089 : Epoch  7, Batch   1076, Loss  0.860874, Average Loss  0.868678, Time  0.233445
2021-09-22 17:16:13.047696 : Epoch  7, Batch   1077, Loss  0.880029, Average Loss  0.868875, Time  0.233842
2021-09-22 17:16:15.639291 : Epoch  7, Batch   1078, Loss  0.841262, Average Loss  0.868772, Time  0.234970
2021-09-22 17:16:18.241176 : Epoch  7, Batch   1079, Loss  0.867245, Average Loss  0.868814, Time  0.237397
2021-09-22 17:16:20.840090 : Epoch  7, Batch   1080, Loss  0.879860, Average Loss  0.868968, Time  0.233564
2021-09-22 17:16:23.432044 : Epoch  7, Batch   1081, Loss  0.858069, Average Loss  0.868851, Time  0.233667
2021-09-22 17:16:26.032077 : Epoch  7, Batch   1082, Loss  0.889411, Average Loss  0.868927, Time  0.233539
2021-09-22 17:16:28.749753 : Epoch  7, Batch   1083, Loss  0.878152, Average Loss  0.868967, Time  0.234175
2021-09-22 17:16:31.352788 : Epoch  7, Batch   1084, Loss  0.857802, Average Loss  0.868878, Time  0.233638
2021-09-22 17:16:33.988728 : Epoch  7, Batch   1085, Loss  0.866873, Average Loss  0.868861, Time  0.236024
2021-09-22 17:16:36.590108 : Epoch  7, Batch   1086, Loss  0.856834, Average Loss  0.868713, Time  0.233995
2021-09-22 17:16:39.266041 : Epoch  7, Batch   1087, Loss  0.864391, Average Loss  0.868649, Time  0.233597
2021-09-22 17:16:41.881732 : Epoch  7, Batch   1088, Loss  0.862880, Average Loss  0.868562, Time  0.233202
2021-09-22 17:16:44.499129 : Epoch  7, Batch   1089, Loss  0.861103, Average Loss  0.868546, Time  0.234832
2021-09-22 17:16:47.201786 : Epoch  7, Batch   1090, Loss  0.877579, Average Loss  0.868581, Time  0.233476
2021-09-22 17:16:49.800672 : Epoch  7, Batch   1091, Loss  0.885637, Average Loss  0.868591, Time  0.233522
2021-09-22 17:16:52.442746 : Epoch  7, Batch   1092, Loss  0.883125, Average Loss  0.868652, Time  0.235137
2021-09-22 17:16:55.086209 : Epoch  7, Batch   1093, Loss  0.862760, Average Loss  0.868586, Time  0.234666
2021-09-22 17:16:57.742179 : Epoch  7, Batch   1094, Loss  0.896800, Average Loss  0.868808, Time  0.234184
2021-09-22 17:17:00.360231 : Epoch  7, Batch   1095, Loss  0.873064, Average Loss  0.868785, Time  0.233865
2021-09-22 17:17:02.964912 : Epoch  7, Batch   1096, Loss  0.867626, Average Loss  0.868829, Time  0.234373
2021-09-22 17:17:05.642075 : Epoch  7, Batch   1097, Loss  0.859739, Average Loss  0.868820, Time  0.233991
2021-09-22 17:17:08.282744 : Epoch  7, Batch   1098, Loss  0.880058, Average Loss  0.869023, Time  0.236364
2021-09-22 17:17:10.915929 : Epoch  7, Batch   1099, Loss  0.868116, Average Loss  0.868992, Time  0.235161
2021-09-22 17:17:13.573696 : Epoch  7, Batch   1100, Loss  0.868733, Average Loss  0.869059, Time  0.234205
2021-09-22 17:17:16.209856 : Epoch  7, Batch   1101, Loss  0.880878, Average Loss  0.869064, Time  0.234305
2021-09-22 17:17:18.812200 : Epoch  7, Batch   1102, Loss  0.875500, Average Loss  0.869150, Time  0.234991
2021-09-22 17:17:21.405192 : Epoch  7, Batch   1103, Loss  0.857754, Average Loss  0.868986, Time  0.234681
2021-09-22 17:17:23.992367 : Epoch  7, Batch   1104, Loss  0.859185, Average Loss  0.869082, Time  0.233845
2021-09-22 17:17:26.581792 : Epoch  7, Batch   1105, Loss  0.877074, Average Loss  0.869117, Time  0.234408
2021-09-22 17:17:29.184527 : Epoch  7, Batch   1106, Loss  0.876943, Average Loss  0.869175, Time  0.234323
2021-09-22 17:17:31.819234 : Epoch  7, Batch   1107, Loss  0.878354, Average Loss  0.869209, Time  0.235018
2021-09-22 17:17:34.591482 : Epoch  7, Batch   1108, Loss  0.865976, Average Loss  0.869139, Time  0.238337
2021-09-22 17:17:37.201679 : Epoch  7, Batch   1109, Loss  0.897963, Average Loss  0.869279, Time  0.233536
2021-09-22 17:17:39.829125 : Epoch  7, Batch   1110, Loss  0.874082, Average Loss  0.869284, Time  0.234887
2021-09-22 17:17:42.486787 : Epoch  7, Batch   1111, Loss  0.873090, Average Loss  0.869257, Time  0.236337
2021-09-22 17:17:45.093565 : Epoch  7, Batch   1112, Loss  0.842982, Average Loss  0.869185, Time  0.233749
2021-09-22 17:17:47.721263 : Epoch  7, Batch   1113, Loss  0.863016, Average Loss  0.869249, Time  0.233765
2021-09-22 17:17:50.356820 : Epoch  7, Batch   1114, Loss  0.902321, Average Loss  0.869351, Time  0.233601
2021-09-22 17:17:53.006429 : Epoch  7, Batch   1115, Loss  0.872966, Average Loss  0.869365, Time  0.234263
2021-09-22 17:17:55.624310 : Epoch  7, Batch   1116, Loss  0.859127, Average Loss  0.869305, Time  0.233719
2021-09-22 17:17:58.264759 : Epoch  7, Batch   1117, Loss  0.885585, Average Loss  0.869297, Time  0.234303
2021-09-22 17:18:00.887161 : Epoch  7, Batch   1118, Loss  0.874163, Average Loss  0.869264, Time  0.233799
2021-09-22 17:18:03.474723 : Epoch  7, Batch   1119, Loss  0.865012, Average Loss  0.869124, Time  0.233813
2021-09-22 17:18:06.136250 : Epoch  7, Batch   1120, Loss  0.864844, Average Loss  0.869139, Time  0.233742
2021-09-22 17:18:08.745035 : Epoch  7, Batch   1121, Loss  0.864654, Average Loss  0.869189, Time  0.234665
2021-09-22 17:18:11.490823 : Epoch  7, Batch   1122, Loss  0.865758, Average Loss  0.869184, Time  0.234738
2021-09-22 17:18:14.115108 : Epoch  7, Batch   1123, Loss  0.869961, Average Loss  0.869071, Time  0.233803
2021-09-22 17:18:16.790747 : Epoch  7, Batch   1124, Loss  0.855832, Average Loss  0.868856, Time  0.255625
2021-09-22 17:18:19.433223 : Epoch  7, Batch   1125, Loss  0.869997, Average Loss  0.868790, Time  0.235117
2021-09-22 17:18:22.046135 : Epoch  7, Batch   1126, Loss  0.857940, Average Loss  0.868709, Time  0.234009
2021-09-22 17:18:24.639932 : Epoch  7, Batch   1127, Loss  0.870800, Average Loss  0.868715, Time  0.233525
2021-09-22 17:18:27.278869 : Epoch  7, Batch   1128, Loss  0.868012, Average Loss  0.868629, Time  0.233675
2021-09-22 17:18:29.896807 : Epoch  7, Batch   1129, Loss  0.886995, Average Loss  0.868714, Time  0.234189
2021-09-22 17:18:32.606165 : Epoch  7, Batch   1130, Loss  0.857449, Average Loss  0.868587, Time  0.233729
2021-09-22 17:18:35.306691 : Epoch  7, Batch   1131, Loss  0.846662, Average Loss  0.868475, Time  0.234152
2021-09-22 17:18:37.933094 : Epoch  7, Batch   1132, Loss  0.877351, Average Loss  0.868443, Time  0.235679
2021-09-22 17:18:40.590854 : Epoch  7, Batch   1133, Loss  0.856693, Average Loss  0.868302, Time  0.234686
2021-09-22 17:18:43.182437 : Epoch  7, Batch   1134, Loss  0.852264, Average Loss  0.868322, Time  0.234309
2021-09-22 17:18:45.829193 : Epoch  7, Batch   1135, Loss  0.860672, Average Loss  0.868340, Time  0.234191
2021-09-22 17:18:48.482324 : Epoch  7, Batch   1136, Loss  0.882279, Average Loss  0.868413, Time  0.233413
2021-09-22 17:18:51.220731 : Epoch  7, Batch   1137, Loss  0.855250, Average Loss  0.868301, Time  0.234159
2021-09-22 17:18:53.839119 : Epoch  7, Batch   1138, Loss  0.882553, Average Loss  0.868314, Time  0.233551
2021-09-22 17:18:56.455834 : Epoch  7, Batch   1139, Loss  0.880773, Average Loss  0.868417, Time  0.234084
2021-09-22 17:18:59.099065 : Epoch  7, Batch   1140, Loss  0.834529, Average Loss  0.868237, Time  0.233562
2021-09-22 17:19:01.803160 : Epoch  7, Batch   1141, Loss  0.872239, Average Loss  0.868178, Time  0.234166
2021-09-22 17:19:04.417243 : Epoch  7, Batch   1142, Loss  0.845714, Average Loss  0.868167, Time  0.233530
2021-09-22 17:19:07.027035 : Epoch  7, Batch   1143, Loss  0.894689, Average Loss  0.868406, Time  0.233413
2021-09-22 17:19:09.672100 : Epoch  7, Batch   1144, Loss  0.862324, Average Loss  0.868345, Time  0.233600
2021-09-22 17:19:12.303838 : Epoch  7, Batch   1145, Loss  0.850283, Average Loss  0.868241, Time  0.234313
2021-09-22 17:19:14.925049 : Epoch  7, Batch   1146, Loss  0.885937, Average Loss  0.868260, Time  0.233423
2021-09-22 17:19:17.521767 : Epoch  7, Batch   1147, Loss  0.851474, Average Loss  0.868146, Time  0.235373
2021-09-22 17:19:20.113854 : Epoch  7, Batch   1148, Loss  0.881489, Average Loss  0.868312, Time  0.235383
2021-09-22 17:19:22.771130 : Epoch  7, Batch   1149, Loss  0.877558, Average Loss  0.868303, Time  0.238899
2021-09-22 17:19:25.377097 : Epoch  7, Batch   1150, Loss  0.862112, Average Loss  0.868291, Time  0.235278
2021-09-22 17:19:27.974107 : Epoch  7, Batch   1151, Loss  0.870947, Average Loss  0.868190, Time  0.233573
2021-09-22 17:19:30.567329 : Epoch  7, Batch   1152, Loss  0.859110, Average Loss  0.868130, Time  0.233689
2021-09-22 17:19:33.160970 : Epoch  7, Batch   1153, Loss  0.879035, Average Loss  0.868247, Time  0.233344
2021-09-22 17:19:35.803071 : Epoch  7, Batch   1154, Loss  0.850144, Average Loss  0.868159, Time  0.233749
2021-09-22 17:19:38.413102 : Epoch  7, Batch   1155, Loss  0.880299, Average Loss  0.868207, Time  0.234059
2021-09-22 17:19:41.083136 : Epoch  7, Batch   1156, Loss  0.837879, Average Loss  0.868077, Time  0.237123
2021-09-22 17:19:43.727983 : Epoch  7, Batch   1157, Loss  0.878724, Average Loss  0.868119, Time  0.237330
2021-09-22 17:19:46.330046 : Epoch  7, Batch   1158, Loss  0.877389, Average Loss  0.868158, Time  0.233439
2021-09-22 17:19:48.994788 : Epoch  7, Batch   1159, Loss  0.889067, Average Loss  0.868360, Time  0.233901
2021-09-22 17:19:51.739916 : Epoch  7, Batch   1160, Loss  0.867858, Average Loss  0.868385, Time  0.234559
2021-09-22 17:19:54.444903 : Epoch  7, Batch   1161, Loss  0.858053, Average Loss  0.868217, Time  0.237173
2021-09-22 17:19:57.149864 : Epoch  7, Batch   1162, Loss  0.849140, Average Loss  0.868043, Time  0.234234
2021-09-22 17:19:59.767387 : Epoch  7, Batch   1163, Loss  0.856867, Average Loss  0.867947, Time  0.233699
2021-09-22 17:20:02.375022 : Epoch  7, Batch   1164, Loss  0.872240, Average Loss  0.867961, Time  0.233145
2021-09-22 17:24:01.730692 : CheckPoint: Validation Loss  0.00030334, Best Loss  0.00029393
2021-09-22 17:24:04.344773 : Epoch  7, Batch   1165, Loss  0.858920, Average Loss  0.867889, Time  0.233773
2021-09-22 17:24:06.937273 : Epoch  7, Batch   1166, Loss  0.873051, Average Loss  0.867808, Time  0.234177
2021-09-22 17:24:09.562822 : Epoch  7, Batch   1167, Loss  0.868260, Average Loss  0.867816, Time  0.233667
2021-09-22 17:24:12.187715 : Epoch  7, Batch   1168, Loss  0.864447, Average Loss  0.867853, Time  0.233098
2021-09-22 17:24:14.812281 : Epoch  7, Batch   1169, Loss  0.871854, Average Loss  0.867903, Time  0.235285
2021-09-22 17:24:17.459031 : Epoch  7, Batch   1170, Loss  0.882435, Average Loss  0.867872, Time  0.233194
2021-09-22 17:24:20.045010 : Epoch  7, Batch   1171, Loss  0.873476, Average Loss  0.867930, Time  0.233193
2021-09-22 17:24:22.646018 : Epoch  7, Batch   1172, Loss  0.852088, Average Loss  0.867771, Time  0.233431
2021-09-22 17:24:25.245675 : Epoch  7, Batch   1173, Loss  0.843954, Average Loss  0.867735, Time  0.233849
2021-09-22 17:24:27.848764 : Epoch  7, Batch   1174, Loss  0.868131, Average Loss  0.867783, Time  0.233554
2021-09-22 17:24:30.432094 : Epoch  7, Batch   1175, Loss  0.884362, Average Loss  0.867858, Time  0.233383
2021-09-22 17:24:33.023060 : Epoch  7, Batch   1176, Loss  0.876912, Average Loss  0.867991, Time  0.233849
2021-09-22 17:24:35.617123 : Epoch  7, Batch   1177, Loss  0.855850, Average Loss  0.867842, Time  0.233498
2021-09-22 17:24:38.206705 : Epoch  7, Batch   1178, Loss  0.862378, Average Loss  0.867740, Time  0.233604
2021-09-22 17:24:40.794839 : Epoch  7, Batch   1179, Loss  0.877746, Average Loss  0.867680, Time  0.233552
2021-09-22 17:24:43.409044 : Epoch  7, Batch   1180, Loss  0.862699, Average Loss  0.867699, Time  0.234165
2021-09-22 17:24:45.993100 : Epoch  7, Batch   1181, Loss  0.882976, Average Loss  0.867746, Time  0.233857
2021-09-22 17:24:48.587055 : Epoch  7, Batch   1182, Loss  0.875614, Average Loss  0.867832, Time  0.233086
2021-09-22 17:24:51.165581 : Epoch  7, Batch   1183, Loss  0.863954, Average Loss  0.867874, Time  0.234219
2021-09-22 17:24:53.759137 : Epoch  7, Batch   1184, Loss  0.868982, Average Loss  0.867953, Time  0.233594
2021-09-22 17:24:56.451146 : Epoch  7, Batch   1185, Loss  0.892710, Average Loss  0.868232, Time  0.236158
2021-09-22 17:24:59.055742 : Epoch  7, Batch   1186, Loss  0.893587, Average Loss  0.868232, Time  0.233288
2021-09-22 17:25:01.662300 : Epoch  7, Batch   1187, Loss  0.867228, Average Loss  0.868382, Time  0.236220
2021-09-22 17:25:04.268069 : Epoch  7, Batch   1188, Loss  0.861911, Average Loss  0.868294, Time  0.233249
2021-09-22 17:25:06.869831 : Epoch  7, Batch   1189, Loss  0.854222, Average Loss  0.868226, Time  0.234661
2021-09-22 17:25:09.459788 : Epoch  7, Batch   1190, Loss  0.869154, Average Loss  0.868260, Time  0.233888
2021-09-22 17:25:12.054046 : Epoch  7, Batch   1191, Loss  0.880966, Average Loss  0.868303, Time  0.233786
2021-09-22 17:25:14.675080 : Epoch  7, Batch   1192, Loss  0.870045, Average Loss  0.868278, Time  0.233836
2021-09-22 17:25:17.297215 : Epoch  7, Batch   1193, Loss  0.875973, Average Loss  0.868305, Time  0.233738
2021-09-22 17:25:19.898068 : Epoch  7, Batch   1194, Loss  0.866570, Average Loss  0.868337, Time  0.234546
2021-09-22 17:25:22.561099 : Epoch  7, Batch   1195, Loss  0.858713, Average Loss  0.868264, Time  0.234457
2021-09-22 17:25:25.230839 : Epoch  7, Batch   1196, Loss  0.869634, Average Loss  0.868273, Time  0.233436
2021-09-22 17:25:27.821075 : Epoch  7, Batch   1197, Loss  0.875182, Average Loss  0.868299, Time  0.234677
2021-09-22 17:25:30.411051 : Epoch  7, Batch   1198, Loss  0.861804, Average Loss  0.868319, Time  0.234839
2021-09-22 17:25:32.998036 : Epoch  7, Batch   1199, Loss  0.873766, Average Loss  0.868395, Time  0.234472
2021-09-22 17:25:35.625866 : Epoch  7, Batch   1200, Loss  0.859809, Average Loss  0.868350, Time  0.233148
2021-09-22 17:25:38.237074 : Epoch  7, Batch   1201, Loss  0.857372, Average Loss  0.868355, Time  0.235961
2021-09-22 17:25:40.847057 : Epoch  7, Batch   1202, Loss  0.870404, Average Loss  0.868345, Time  0.233424
2021-09-22 17:25:43.448782 : Epoch  7, Batch   1203, Loss  0.848716, Average Loss  0.868272, Time  0.233449
2021-09-22 17:25:46.044088 : Epoch  7, Batch   1204, Loss  0.877968, Average Loss  0.868155, Time  0.234299
2021-09-22 17:25:48.640711 : Epoch  7, Batch   1205, Loss  0.861985, Average Loss  0.868214, Time  0.234111
2021-09-22 17:25:51.252823 : Epoch  7, Batch   1206, Loss  0.879540, Average Loss  0.868209, Time  0.233774
2021-09-22 17:25:53.875539 : Epoch  7, Batch   1207, Loss  0.871004, Average Loss  0.868243, Time  0.233523
2021-09-22 17:25:56.488074 : Epoch  7, Batch   1208, Loss  0.852555, Average Loss  0.868228, Time  0.233180
2021-09-22 17:25:59.083055 : Epoch  7, Batch   1209, Loss  0.873563, Average Loss  0.868217, Time  0.233793
2021-09-22 17:26:01.698177 : Epoch  7, Batch   1210, Loss  0.882180, Average Loss  0.868198, Time  0.233696
2021-09-22 17:26:04.303710 : Epoch  7, Batch   1211, Loss  0.868482, Average Loss  0.868148, Time  0.233807
2021-09-22 17:26:06.893049 : Epoch  7, Batch   1212, Loss  0.886365, Average Loss  0.868227, Time  0.233552
2021-09-22 17:26:09.489088 : Epoch  7, Batch   1213, Loss  0.872619, Average Loss  0.868260, Time  0.234028
2021-09-22 17:26:12.088070 : Epoch  7, Batch   1214, Loss  0.880496, Average Loss  0.868391, Time  0.233945
2021-09-22 17:26:14.676035 : Epoch  7, Batch   1215, Loss  0.885175, Average Loss  0.868564, Time  0.233957
2021-09-22 17:26:17.263723 : Epoch  7, Batch   1216, Loss  0.869007, Average Loss  0.868630, Time  0.234015
2021-09-22 17:26:19.868712 : Epoch  7, Batch   1217, Loss  0.854857, Average Loss  0.868560, Time  0.233641
2021-09-22 17:26:22.471124 : Epoch  7, Batch   1218, Loss  0.866796, Average Loss  0.868563, Time  0.233711
2021-09-22 17:26:25.078053 : Epoch  7, Batch   1219, Loss  0.870374, Average Loss  0.868567, Time  0.234108
2021-09-22 17:26:27.668710 : Epoch  7, Batch   1220, Loss  0.878965, Average Loss  0.868660, Time  0.233418
2021-09-22 17:26:30.280102 : Epoch  7, Batch   1221, Loss  0.851852, Average Loss  0.868692, Time  0.233607
2021-09-22 17:26:32.878964 : Epoch  7, Batch   1222, Loss  0.863041, Average Loss  0.868652, Time  0.233951
2021-09-22 17:26:35.495078 : Epoch  7, Batch   1223, Loss  0.878660, Average Loss  0.868715, Time  0.233712
2021-09-22 17:26:38.090043 : Epoch  7, Batch   1224, Loss  0.874712, Average Loss  0.868716, Time  0.233909
2021-09-22 17:26:40.688892 : Epoch  7, Batch   1225, Loss  0.867325, Average Loss  0.868794, Time  0.234183
2021-09-22 17:26:43.288801 : Epoch  7, Batch   1226, Loss  0.853945, Average Loss  0.868737, Time  0.233292
2021-09-22 17:26:45.877998 : Epoch  7, Batch   1227, Loss  0.883362, Average Loss  0.868733, Time  0.234031
2021-09-22 17:26:48.473119 : Epoch  7, Batch   1228, Loss  0.856544, Average Loss  0.868779, Time  0.233829
2021-09-22 17:26:51.070035 : Epoch  7, Batch   1229, Loss  0.874017, Average Loss  0.868877, Time  0.233747
2021-09-22 17:26:53.656702 : Epoch  7, Batch   1230, Loss  0.844428, Average Loss  0.868794, Time  0.233285
2021-09-22 17:26:56.269039 : Epoch  7, Batch   1231, Loss  0.874623, Average Loss  0.868819, Time  0.233665
2021-09-22 17:26:58.857838 : Epoch  7, Batch   1232, Loss  0.870186, Average Loss  0.868843, Time  0.233815
2021-09-22 17:27:01.447063 : Epoch  7, Batch   1233, Loss  0.864294, Average Loss  0.868830, Time  0.234275
2021-09-22 17:27:04.035756 : Epoch  7, Batch   1234, Loss  0.878846, Average Loss  0.868924, Time  0.233207
2021-09-22 17:27:06.629760 : Epoch  7, Batch   1235, Loss  0.872884, Average Loss  0.868822, Time  0.236725
2021-09-22 17:27:09.314054 : Epoch  7, Batch   1236, Loss  0.852041, Average Loss  0.868666, Time  0.236388
2021-09-22 17:27:11.895015 : Epoch  7, Batch   1237, Loss  0.872509, Average Loss  0.868534, Time  0.233556
2021-09-22 17:27:14.485777 : Epoch  7, Batch   1238, Loss  0.863719, Average Loss  0.868394, Time  0.233796
2021-09-22 17:27:17.076024 : Epoch  7, Batch   1239, Loss  0.879489, Average Loss  0.868487, Time  0.233369
2021-09-22 17:27:19.669418 : Epoch  7, Batch   1240, Loss  0.871599, Average Loss  0.868525, Time  0.233620
2021-09-22 17:27:22.256705 : Epoch  7, Batch   1241, Loss  0.883884, Average Loss  0.868590, Time  0.233655
2021-09-22 17:27:24.843727 : Epoch  7, Batch   1242, Loss  0.876293, Average Loss  0.868683, Time  0.233501
2021-09-22 17:27:27.426688 : Epoch  7, Batch   1243, Loss  0.864535, Average Loss  0.868594, Time  0.234338
2021-09-22 17:27:30.022080 : Epoch  7, Batch   1244, Loss  0.862898, Average Loss  0.868616, Time  0.233267
2021-09-22 17:27:32.635049 : Epoch  7, Batch   1245, Loss  0.867596, Average Loss  0.868713, Time  0.233640
2021-09-22 17:27:35.230055 : Epoch  7, Batch   1246, Loss  0.874603, Average Loss  0.868680, Time  0.233810
2021-09-22 17:27:37.817045 : Epoch  7, Batch   1247, Loss  0.864026, Average Loss  0.868716, Time  0.233416
2021-09-22 17:27:40.420138 : Epoch  7, Batch   1248, Loss  0.847057, Average Loss  0.868667, Time  0.233966
2021-09-22 17:27:43.008719 : Epoch  7, Batch   1249, Loss  0.850847, Average Loss  0.868640, Time  0.233990
2021-09-22 17:27:45.603146 : Epoch  7, Batch   1250, Loss  0.859957, Average Loss  0.868631, Time  0.234175
2021-09-22 17:27:48.196901 : Epoch  7, Batch   1251, Loss  0.868797, Average Loss  0.868690, Time  0.234086
2021-09-22 17:27:50.786745 : Epoch  7, Batch   1252, Loss  0.854257, Average Loss  0.868618, Time  0.233608
2021-09-22 17:27:53.451080 : Epoch  7, Batch   1253, Loss  0.868216, Average Loss  0.868591, Time  0.234333
2021-09-22 17:27:56.076057 : Epoch  7, Batch   1254, Loss  0.870043, Average Loss  0.868617, Time  0.233221
2021-09-22 17:27:58.664023 : Epoch  7, Batch   1255, Loss  0.856285, Average Loss  0.868617, Time  0.233806
2021-09-22 17:28:01.257797 : Epoch  7, Batch   1256, Loss  0.882452, Average Loss  0.868639, Time  0.233415
2021-09-22 17:28:03.855722 : Epoch  7, Batch   1257, Loss  0.883472, Average Loss  0.868821, Time  0.233446
2021-09-22 17:28:06.478030 : Epoch  7, Batch   1258, Loss  0.875905, Average Loss  0.868836, Time  0.234234
2021-09-22 17:28:09.088776 : Epoch  7, Batch   1259, Loss  0.849713, Average Loss  0.868733, Time  0.234078
2021-09-22 17:28:11.683034 : Epoch  7, Batch   1260, Loss  0.878318, Average Loss  0.868771, Time  0.233356
2021-09-22 17:28:14.260719 : Epoch  7, Batch   1261, Loss  0.865714, Average Loss  0.868753, Time  0.233693
2021-09-22 17:28:16.852730 : Epoch  7, Batch   1262, Loss  0.869690, Average Loss  0.868705, Time  0.233551
2021-09-22 17:28:19.437158 : Epoch  7, Batch   1263, Loss  0.860521, Average Loss  0.868778, Time  0.233759
2021-09-22 17:28:22.027215 : Epoch  7, Batch   1264, Loss  0.877468, Average Loss  0.868813, Time  0.233141
2021-09-22 17:32:21.384980 : CheckPoint: Validation Loss  0.00029325, Best Loss  0.00029325
2021-09-22 17:32:21.418610 : Best Model Updated
2021-09-22 17:32:24.869910 : Epoch  7, Batch   1265, Loss  0.867127, Average Loss  0.868819, Time  0.235394
2021-09-22 17:32:27.480143 : Epoch  7, Batch   1266, Loss  0.873949, Average Loss  0.868750, Time  0.236075
2021-09-22 17:32:30.119484 : Epoch  7, Batch   1267, Loss  0.849342, Average Loss  0.868604, Time  0.235311
2021-09-22 17:32:32.756796 : Epoch  7, Batch   1268, Loss  0.857931, Average Loss  0.868476, Time  0.235557
2021-09-22 17:32:35.357413 : Epoch  7, Batch   1269, Loss  0.858652, Average Loss  0.868408, Time  0.236437
2021-09-22 17:32:37.980732 : Epoch  7, Batch   1270, Loss  0.893523, Average Loss  0.868497, Time  0.233456
2021-09-22 17:32:40.588311 : Epoch  7, Batch   1271, Loss  0.874278, Average Loss  0.868598, Time  0.234328
2021-09-22 17:32:43.210210 : Epoch  7, Batch   1272, Loss  0.881059, Average Loss  0.868670, Time  0.235143
2021-09-22 17:32:45.815239 : Epoch  7, Batch   1273, Loss  0.896486, Average Loss  0.868835, Time  0.234826
2021-09-22 17:32:48.421327 : Epoch  7, Batch   1274, Loss  0.872720, Average Loss  0.868816, Time  0.236176
2021-09-22 17:32:51.043772 : Epoch  7, Batch   1275, Loss  0.867018, Average Loss  0.868812, Time  0.234899
2021-09-22 17:32:53.706120 : Epoch  7, Batch   1276, Loss  0.849905, Average Loss  0.868757, Time  0.235027
2021-09-22 17:32:56.334044 : Epoch  7, Batch   1277, Loss  0.861721, Average Loss  0.868665, Time  0.236899
2021-09-22 17:32:58.949426 : Epoch  7, Batch   1278, Loss  0.876749, Average Loss  0.868843, Time  0.234676
2021-09-22 17:33:01.559740 : Epoch  7, Batch   1279, Loss  0.864348, Average Loss  0.868828, Time  0.237671
2021-09-22 17:33:04.169264 : Epoch  7, Batch   1280, Loss  0.874434, Average Loss  0.868801, Time  0.238138
2021-09-22 17:33:06.787850 : Epoch  7, Batch   1281, Loss  0.834818, Average Loss  0.868685, Time  0.235219
2021-09-22 17:33:09.391013 : Epoch  7, Batch   1282, Loss  0.867873, Average Loss  0.868577, Time  0.234730
2021-09-22 17:33:12.025766 : Epoch  7, Batch   1283, Loss  0.881819, Average Loss  0.868595, Time  0.235665
2021-09-22 17:33:14.632139 : Epoch  7, Batch   1284, Loss  0.880753, Average Loss  0.868710, Time  0.237589
2021-09-22 17:33:17.235616 : Epoch  7, Batch   1285, Loss  0.861591, Average Loss  0.868684, Time  0.235200
2021-09-22 17:33:19.847382 : Epoch  7, Batch   1286, Loss  0.869037, Average Loss  0.868745, Time  0.235825
2021-09-22 17:33:22.449240 : Epoch  7, Batch   1287, Loss  0.876155, Average Loss  0.868804, Time  0.235675
2021-09-22 17:33:25.041979 : Epoch  7, Batch   1288, Loss  0.876032, Average Loss  0.868869, Time  0.234295
2021-09-22 17:33:27.653209 : Epoch  7, Batch   1289, Loss  0.881756, Average Loss  0.868973, Time  0.236154
2021-09-22 17:33:30.251823 : Epoch  7, Batch   1290, Loss  0.864230, Average Loss  0.868906, Time  0.235786
2021-09-22 17:33:32.857987 : Epoch  7, Batch   1291, Loss  0.864206, Average Loss  0.868799, Time  0.235203
2021-09-22 17:33:35.471341 : Epoch  7, Batch   1292, Loss  0.880070, Average Loss  0.868783, Time  0.236011
2021-09-22 17:33:38.076303 : Epoch  7, Batch   1293, Loss  0.860118, Average Loss  0.868770, Time  0.235063
2021-09-22 17:33:40.705078 : Epoch  7, Batch   1294, Loss  0.866740, Average Loss  0.868620, Time  0.238479
2021-09-22 17:33:43.313543 : Epoch  7, Batch   1295, Loss  0.870571, Average Loss  0.868607, Time  0.234597
2021-09-22 17:33:45.923706 : Epoch  7, Batch   1296, Loss  0.868627, Average Loss  0.868612, Time  0.234603
2021-09-22 17:33:48.529008 : Epoch  7, Batch   1297, Loss  0.853959, Average Loss  0.868584, Time  0.234797
2021-09-22 17:33:51.231093 : Epoch  7, Batch   1298, Loss  0.855266, Average Loss  0.868460, Time  0.234838
2021-09-22 17:33:53.843649 : Epoch  7, Batch   1299, Loss  0.857622, Average Loss  0.868407, Time  0.234781
2021-09-22 17:33:56.482343 : Epoch  7, Batch   1300, Loss  0.858813, Average Loss  0.868358, Time  0.238386
2021-09-22 17:33:59.097223 : Epoch  7, Batch   1301, Loss  0.866367, Average Loss  0.868285, Time  0.235920
2021-09-22 17:34:01.707865 : Epoch  7, Batch   1302, Loss  0.872304, Average Loss  0.868269, Time  0.236102
2021-09-22 17:34:04.320097 : Epoch  7, Batch   1303, Loss  0.859331, Average Loss  0.868277, Time  0.234672
2021-09-22 17:34:06.937151 : Epoch  7, Batch   1304, Loss  0.843313, Average Loss  0.868198, Time  0.234457
2021-09-22 17:34:09.571052 : Epoch  7, Batch   1305, Loss  0.880540, Average Loss  0.868215, Time  0.236477
2021-09-22 17:34:12.189274 : Epoch  7, Batch   1306, Loss  0.876455, Average Loss  0.868212, Time  0.233654
2021-09-22 17:34:14.798086 : Epoch  7, Batch   1307, Loss  0.868374, Average Loss  0.868163, Time  0.235170
2021-09-22 17:34:17.409127 : Epoch  7, Batch   1308, Loss  0.872343, Average Loss  0.868194, Time  0.235261
2021-09-22 17:34:20.009150 : Epoch  7, Batch   1309, Loss  0.872707, Average Loss  0.868068, Time  0.235172
2021-09-22 17:34:22.613327 : Epoch  7, Batch   1310, Loss  0.866319, Average Loss  0.868029, Time  0.235195
2021-09-22 17:34:25.220288 : Epoch  7, Batch   1311, Loss  0.878874, Average Loss  0.868058, Time  0.235911
2021-09-22 17:34:27.868381 : Epoch  7, Batch   1312, Loss  0.883987, Average Loss  0.868263, Time  0.235972
2021-09-22 17:34:30.471486 : Epoch  7, Batch   1313, Loss  0.877811, Average Loss  0.868337, Time  0.234687
2021-09-22 17:34:33.071692 : Epoch  7, Batch   1314, Loss  0.846730, Average Loss  0.868059, Time  0.236218
2021-09-22 17:34:35.713927 : Epoch  7, Batch   1315, Loss  0.872098, Average Loss  0.868055, Time  0.245534
2021-09-22 17:34:38.332315 : Epoch  7, Batch   1316, Loss  0.853442, Average Loss  0.868026, Time  0.234541
2021-09-22 17:34:40.980766 : Epoch  7, Batch   1317, Loss  0.880414, Average Loss  0.868001, Time  0.237741
2021-09-22 17:34:43.591118 : Epoch  7, Batch   1318, Loss  0.881124, Average Loss  0.868035, Time  0.237016
2021-09-22 17:34:46.207355 : Epoch  7, Batch   1319, Loss  0.892280, Average Loss  0.868172, Time  0.234598
2021-09-22 17:34:48.815938 : Epoch  7, Batch   1320, Loss  0.850225, Average Loss  0.868099, Time  0.234860
2021-09-22 17:34:51.458028 : Epoch  7, Batch   1321, Loss  0.865260, Average Loss  0.868102, Time  0.235323
2021-09-22 17:34:54.082394 : Epoch  7, Batch   1322, Loss  0.838981, Average Loss  0.867968, Time  0.235576
2021-09-22 17:34:56.711847 : Epoch  7, Batch   1323, Loss  0.872075, Average Loss  0.867978, Time  0.238439
2021-09-22 17:34:59.346168 : Epoch  7, Batch   1324, Loss  0.874245, Average Loss  0.868070, Time  0.235593
2021-09-22 17:35:01.960604 : Epoch  7, Batch   1325, Loss  0.882125, Average Loss  0.868131, Time  0.234793
2021-09-22 17:35:04.588422 : Epoch  7, Batch   1326, Loss  0.868136, Average Loss  0.868182, Time  0.237006
2021-09-22 17:35:07.184945 : Epoch  7, Batch   1327, Loss  0.846827, Average Loss  0.868062, Time  0.235397
2021-09-22 17:35:09.798321 : Epoch  7, Batch   1328, Loss  0.876664, Average Loss  0.868105, Time  0.237543
2021-09-22 17:35:12.399764 : Epoch  7, Batch   1329, Loss  0.854586, Average Loss  0.867943, Time  0.235588
2021-09-22 17:35:15.028307 : Epoch  7, Batch   1330, Loss  0.865799, Average Loss  0.867985, Time  0.234654
2021-09-22 17:35:17.632350 : Epoch  7, Batch   1331, Loss  0.878898, Average Loss  0.868146, Time  0.235229
2021-09-22 17:35:20.234995 : Epoch  7, Batch   1332, Loss  0.848854, Average Loss  0.868004, Time  0.235894
2021-09-22 17:35:22.852017 : Epoch  7, Batch   1333, Loss  0.865609, Average Loss  0.868048, Time  0.236567
2021-09-22 17:35:25.481173 : Epoch  7, Batch   1334, Loss  0.856232, Average Loss  0.868068, Time  0.235712
2021-09-22 17:35:28.087342 : Epoch  7, Batch   1335, Loss  0.856479, Average Loss  0.868047, Time  0.235225
2021-09-22 17:35:30.719445 : Epoch  7, Batch   1336, Loss  0.883824, Average Loss  0.868055, Time  0.237804
2021-09-22 17:35:33.337347 : Epoch  7, Batch   1337, Loss  0.874833, Average Loss  0.868153, Time  0.234320
2021-09-22 17:35:35.954863 : Epoch  7, Batch   1338, Loss  0.852254, Average Loss  0.868001, Time  0.236076
2021-09-22 17:35:38.568809 : Epoch  7, Batch   1339, Loss  0.870303, Average Loss  0.867949, Time  0.233702
2021-09-22 17:35:41.170069 : Epoch  7, Batch   1340, Loss  0.880068, Average Loss  0.868177, Time  0.234488
2021-09-22 17:35:43.793704 : Epoch  7, Batch   1341, Loss  0.868750, Average Loss  0.868159, Time  0.234740
2021-09-22 17:35:46.408816 : Epoch  7, Batch   1342, Loss  0.869218, Average Loss  0.868277, Time  0.235722
2021-09-22 17:35:49.017153 : Epoch  7, Batch   1343, Loss  0.866125, Average Loss  0.868134, Time  0.234926
2021-09-22 17:35:51.610778 : Epoch  7, Batch   1344, Loss  0.850818, Average Loss  0.868077, Time  0.235009
2021-09-22 17:35:54.215112 : Epoch  7, Batch   1345, Loss  0.872496, Average Loss  0.868188, Time  0.236984
2021-09-22 17:35:56.823951 : Epoch  7, Batch   1346, Loss  0.866079, Average Loss  0.868088, Time  0.235229
2021-09-22 17:35:59.442826 : Epoch  7, Batch   1347, Loss  0.876882, Average Loss  0.868215, Time  0.235651
2021-09-22 17:36:02.062681 : Epoch  7, Batch   1348, Loss  0.884540, Average Loss  0.868231, Time  0.236608
2021-09-22 17:36:04.668109 : Epoch  7, Batch   1349, Loss  0.870375, Average Loss  0.868195, Time  0.235462
2021-09-22 17:36:07.271022 : Epoch  7, Batch   1350, Loss  0.859705, Average Loss  0.868183, Time  0.235061
2021-09-22 17:36:09.880890 : Epoch  7, Batch   1351, Loss  0.865689, Average Loss  0.868156, Time  0.237665
2021-09-22 17:36:12.489756 : Epoch  7, Batch   1352, Loss  0.868669, Average Loss  0.868204, Time  0.237926
2021-09-22 17:36:15.092292 : Epoch  7, Batch   1353, Loss  0.866502, Average Loss  0.868141, Time  0.234377
2021-09-22 17:36:17.689752 : Epoch  7, Batch   1354, Loss  0.872708, Average Loss  0.868254, Time  0.234320
2021-09-22 17:36:20.287137 : Epoch  7, Batch   1355, Loss  0.873074, Average Loss  0.868218, Time  0.234468
2021-09-22 17:36:22.891971 : Epoch  7, Batch   1356, Loss  0.866159, Average Loss  0.868360, Time  0.235594
2021-09-22 17:36:25.504483 : Epoch  7, Batch   1357, Loss  0.874821, Average Loss  0.868340, Time  0.235537
2021-09-22 17:36:28.114003 : Epoch  7, Batch   1358, Loss  0.872685, Average Loss  0.868317, Time  0.236109
2021-09-22 17:36:30.712965 : Epoch  7, Batch   1359, Loss  0.881830, Average Loss  0.868280, Time  0.236029
2021-09-22 17:36:33.316346 : Epoch  7, Batch   1360, Loss  0.845492, Average Loss  0.868169, Time  0.237960
2021-09-22 17:36:35.931007 : Epoch  7, Batch   1361, Loss  0.879058, Average Loss  0.868274, Time  0.237762
2021-09-22 17:36:38.537885 : Epoch  7, Batch   1362, Loss  0.856891, Average Loss  0.868312, Time  0.235344
2021-09-22 17:36:41.161270 : Epoch  7, Batch   1363, Loss  0.868250, Average Loss  0.868369, Time  0.235296
2021-09-22 17:36:43.758400 : Epoch  7, Batch   1364, Loss  0.888460, Average Loss  0.868450, Time  0.237894
2021-09-22 17:40:42.326703 : CheckPoint: Validation Loss  0.00029504, Best Loss  0.00029325
2021-09-22 17:40:44.930814 : Epoch  7, Batch   1365, Loss  0.880264, Average Loss  0.868557, Time  0.265176
2021-09-22 17:40:47.512175 : Epoch  7, Batch   1366, Loss  0.872818, Average Loss  0.868556, Time  0.244338
2021-09-22 17:40:50.100201 : Epoch  7, Batch   1367, Loss  0.851715, Average Loss  0.868473, Time  0.234011
2021-09-22 17:40:52.683172 : Epoch  7, Batch   1368, Loss  0.872607, Average Loss  0.868514, Time  0.240759
2021-09-22 17:40:55.261884 : Epoch  7, Batch   1369, Loss  0.838752, Average Loss  0.868348, Time  0.233671
2021-09-22 17:40:57.846740 : Epoch  7, Batch   1370, Loss  0.882356, Average Loss  0.868348, Time  0.233426
2021-09-22 17:41:00.432766 : Epoch  7, Batch   1371, Loss  0.885131, Average Loss  0.868406, Time  0.233324
2021-09-22 17:41:03.061192 : Epoch  7, Batch   1372, Loss  0.858712, Average Loss  0.868439, Time  0.233988
2021-09-22 17:41:05.642387 : Epoch  7, Batch   1373, Loss  0.864391, Average Loss  0.868542, Time  0.234361
2021-09-22 17:41:08.220183 : Epoch  7, Batch   1374, Loss  0.850398, Average Loss  0.868453, Time  0.233913
2021-09-22 17:41:10.804056 : Epoch  7, Batch   1375, Loss  0.885187, Average Loss  0.868457, Time  0.234551
2021-09-22 17:41:13.399822 : Epoch  7, Batch   1376, Loss  0.853392, Average Loss  0.868339, Time  0.236127
2021-09-22 17:41:16.009938 : Epoch  7, Batch   1377, Loss  0.894456, Average Loss  0.868533, Time  0.234825
2021-09-22 17:41:18.591993 : Epoch  7, Batch   1378, Loss  0.870274, Average Loss  0.868572, Time  0.233974
2021-09-22 17:41:21.185265 : Epoch  7, Batch   1379, Loss  0.849882, Average Loss  0.868433, Time  0.234380
2021-09-22 17:41:23.797332 : Epoch  7, Batch   1380, Loss  0.880068, Average Loss  0.868520, Time  0.234495
2021-09-22 17:41:26.453912 : Epoch  7, Batch   1381, Loss  0.891641, Average Loss  0.868563, Time  0.235487
2021-09-22 17:41:29.050875 : Epoch  7, Batch   1382, Loss  0.869262, Average Loss  0.868531, Time  0.234926
2021-09-22 17:41:31.659826 : Epoch  7, Batch   1383, Loss  0.862172, Average Loss  0.868522, Time  0.235139
2021-09-22 17:41:34.260347 : Epoch  7, Batch   1384, Loss  0.858425, Average Loss  0.868469, Time  0.234963
2021-09-22 17:41:36.867989 : Epoch  7, Batch   1385, Loss  0.877767, Average Loss  0.868395, Time  0.235351
2021-09-22 17:41:39.459915 : Epoch  7, Batch   1386, Loss  0.851673, Average Loss  0.868185, Time  0.234658
2021-09-22 17:41:42.071834 : Epoch  7, Batch   1387, Loss  0.859942, Average Loss  0.868149, Time  0.235026
2021-09-22 17:41:44.667879 : Epoch  7, Batch   1388, Loss  0.868897, Average Loss  0.868184, Time  0.235052
2021-09-22 17:41:47.262750 : Epoch  7, Batch   1389, Loss  0.852531, Average Loss  0.868175, Time  0.234842
2021-09-22 17:41:49.857368 : Epoch  7, Batch   1390, Loss  0.872004, Average Loss  0.868189, Time  0.234710
2021-09-22 17:41:52.456826 : Epoch  7, Batch   1391, Loss  0.877624, Average Loss  0.868173, Time  0.235109
2021-09-22 17:41:55.063834 : Epoch  7, Batch   1392, Loss  0.879442, Average Loss  0.868220, Time  0.234830
2021-09-22 17:41:57.661542 : Epoch  7, Batch   1393, Loss  0.867743, Average Loss  0.868179, Time  0.235516
2021-09-22 17:42:00.290938 : Epoch  7, Batch   1394, Loss  0.866781, Average Loss  0.868180, Time  0.235250
2021-09-22 17:42:02.907298 : Epoch  7, Batch   1395, Loss  0.873267, Average Loss  0.868252, Time  0.235286
2021-09-22 17:42:05.509848 : Epoch  7, Batch   1396, Loss  0.864392, Average Loss  0.868226, Time  0.234827
2021-09-22 17:42:08.154282 : Epoch  7, Batch   1397, Loss  0.858506, Average Loss  0.868143, Time  0.234488
2021-09-22 17:42:10.740289 : Epoch  7, Batch   1398, Loss  0.853433, Average Loss  0.868101, Time  0.234919
2021-09-22 17:42:13.320266 : Epoch  7, Batch   1399, Loss  0.865608, Average Loss  0.868060, Time  0.234452
2021-09-22 17:42:15.919860 : Epoch  7, Batch   1400, Loss  0.887451, Average Loss  0.868198, Time  0.234574
2021-09-22 17:42:18.520741 : Epoch  7, Batch   1401, Loss  0.863822, Average Loss  0.868231, Time  0.234919
2021-09-22 17:42:21.117829 : Epoch  7, Batch   1402, Loss  0.862830, Average Loss  0.868193, Time  0.234395
2021-09-22 17:42:23.721941 : Epoch  7, Batch   1403, Loss  0.878193, Average Loss  0.868340, Time  0.235121
2021-09-22 17:42:26.332917 : Epoch  7, Batch   1404, Loss  0.852410, Average Loss  0.868212, Time  0.235674
2021-09-22 17:42:28.930963 : Epoch  7, Batch   1405, Loss  0.869413, Average Loss  0.868249, Time  0.235725
2021-09-22 17:42:31.529790 : Epoch  7, Batch   1406, Loss  0.881952, Average Loss  0.868262, Time  0.234992
2021-09-22 17:42:34.122244 : Epoch  7, Batch   1407, Loss  0.865733, Average Loss  0.868235, Time  0.234929
2021-09-22 17:42:36.720835 : Epoch  7, Batch   1408, Loss  0.844465, Average Loss  0.868195, Time  0.235262
2021-09-22 17:42:39.319893 : Epoch  7, Batch   1409, Loss  0.870822, Average Loss  0.868181, Time  0.234990
2021-09-22 17:42:41.917531 : Epoch  7, Batch   1410, Loss  0.848409, Average Loss  0.868012, Time  0.234341
2021-09-22 17:42:44.563560 : Epoch  7, Batch   1411, Loss  0.879233, Average Loss  0.868066, Time  0.234861
2021-09-22 17:42:47.217350 : Epoch  7, Batch   1412, Loss  0.879472, Average Loss  0.868031, Time  0.234234
2021-09-22 17:42:49.841821 : Epoch  7, Batch   1413, Loss  0.857382, Average Loss  0.867955, Time  0.235138
2021-09-22 17:42:52.440293 : Epoch  7, Batch   1414, Loss  0.886431, Average Loss  0.867985, Time  0.234571
2021-09-22 17:42:55.036851 : Epoch  7, Batch   1415, Loss  0.865945, Average Loss  0.867889, Time  0.234721
2021-09-22 17:42:57.632261 : Epoch  7, Batch   1416, Loss  0.870226, Average Loss  0.867895, Time  0.235023
2021-09-22 17:43:00.234288 : Epoch  7, Batch   1417, Loss  0.862537, Average Loss  0.867933, Time  0.234747
2021-09-22 17:43:02.837296 : Epoch  7, Batch   1418, Loss  0.862329, Average Loss  0.867911, Time  0.234717
2021-09-22 17:43:05.450163 : Epoch  7, Batch   1419, Loss  0.864428, Average Loss  0.867881, Time  0.234941
2021-09-22 17:43:08.057324 : Epoch  7, Batch   1420, Loss  0.856991, Average Loss  0.867771, Time  0.234348
2021-09-22 17:43:10.646907 : Epoch  7, Batch   1421, Loss  0.860261, Average Loss  0.867813, Time  0.234983
2021-09-22 17:43:13.237259 : Epoch  7, Batch   1422, Loss  0.860345, Average Loss  0.867800, Time  0.234514
2021-09-22 17:43:15.823237 : Epoch  7, Batch   1423, Loss  0.871150, Average Loss  0.867762, Time  0.234461
2021-09-22 17:43:18.411258 : Epoch  7, Batch   1424, Loss  0.866107, Average Loss  0.867719, Time  0.234124
2021-09-22 17:43:20.992625 : Epoch  7, Batch   1425, Loss  0.870421, Average Loss  0.867735, Time  0.234455
2021-09-22 17:43:23.574898 : Epoch  7, Batch   1426, Loss  0.851999, Average Loss  0.867725, Time  0.234915
2021-09-22 17:43:26.167395 : Epoch  7, Batch   1427, Loss  0.870433, Average Loss  0.867660, Time  0.235211
2021-09-22 17:43:28.764248 : Epoch  7, Batch   1428, Loss  0.869921, Average Loss  0.867727, Time  0.234750
2021-09-22 17:43:31.394505 : Epoch  7, Batch   1429, Loss  0.886062, Average Loss  0.867788, Time  0.235441
2021-09-22 17:43:34.005813 : Epoch  7, Batch   1430, Loss  0.878715, Average Loss  0.867959, Time  0.234789
2021-09-22 17:43:36.598063 : Epoch  7, Batch   1431, Loss  0.874263, Average Loss  0.867957, Time  0.235397
2021-09-22 17:43:39.185989 : Epoch  7, Batch   1432, Loss  0.882767, Average Loss  0.868020, Time  0.234621
2021-09-22 17:43:41.774164 : Epoch  7, Batch   1433, Loss  0.875957, Average Loss  0.868078, Time  0.234601
2021-09-22 17:43:44.365849 : Epoch  7, Batch   1434, Loss  0.882554, Average Loss  0.868097, Time  0.235111
2021-09-22 17:43:46.951144 : Epoch  7, Batch   1435, Loss  0.869921, Average Loss  0.868082, Time  0.235124
2021-09-22 17:43:49.569983 : Epoch  7, Batch   1436, Loss  0.869310, Average Loss  0.868168, Time  0.236005
2021-09-22 17:43:52.173259 : Epoch  7, Batch   1437, Loss  0.876779, Average Loss  0.868190, Time  0.234852
2021-09-22 17:43:54.778277 : Epoch  7, Batch   1438, Loss  0.865094, Average Loss  0.868197, Time  0.234423
2021-09-22 17:43:57.362849 : Epoch  7, Batch   1439, Loss  0.858090, Average Loss  0.868090, Time  0.234921
2021-09-22 17:43:59.953970 : Epoch  7, Batch   1440, Loss  0.856844, Average Loss  0.868016, Time  0.234521
2021-09-22 17:44:02.535979 : Epoch  7, Batch   1441, Loss  0.865609, Average Loss  0.867925, Time  0.235059
2021-09-22 17:44:05.127361 : Epoch  7, Batch   1442, Loss  0.855964, Average Loss  0.867823, Time  0.234265
2021-09-22 17:44:07.721322 : Epoch  7, Batch   1443, Loss  0.871332, Average Loss  0.867857, Time  0.234888
2021-09-22 17:44:10.318953 : Epoch  7, Batch   1444, Loss  0.864710, Average Loss  0.867866, Time  0.234484
2021-09-22 17:44:12.906298 : Epoch  7, Batch   1445, Loss  0.865159, Average Loss  0.867854, Time  0.234367
2021-09-22 17:44:15.502301 : Epoch  7, Batch   1446, Loss  0.883663, Average Loss  0.867899, Time  0.234285
2021-09-22 17:44:18.087125 : Epoch  7, Batch   1447, Loss  0.875479, Average Loss  0.867956, Time  0.234753
2021-09-22 17:44:20.683885 : Epoch  7, Batch   1448, Loss  0.889723, Average Loss  0.868170, Time  0.234540
2021-09-22 17:44:23.276298 : Epoch  7, Batch   1449, Loss  0.867377, Average Loss  0.868252, Time  0.234834
2021-09-22 17:44:25.878775 : Epoch  7, Batch   1450, Loss  0.861313, Average Loss  0.868259, Time  0.234808
2021-09-22 17:44:28.474930 : Epoch  7, Batch   1451, Loss  0.873087, Average Loss  0.868281, Time  0.234658
2021-09-22 17:44:31.069122 : Epoch  7, Batch   1452, Loss  0.857878, Average Loss  0.868299, Time  0.234674
2021-09-22 17:44:33.650004 : Epoch  7, Batch   1453, Loss  0.878379, Average Loss  0.868349, Time  0.234946
2021-09-22 17:44:36.247914 : Epoch  7, Batch   1454, Loss  0.848370, Average Loss  0.868241, Time  0.234057
2021-09-22 17:44:38.838888 : Epoch  7, Batch   1455, Loss  0.844806, Average Loss  0.868184, Time  0.234337
2021-09-22 17:44:41.437723 : Epoch  7, Batch   1456, Loss  0.868224, Average Loss  0.868113, Time  0.233588
2021-09-22 17:44:44.022202 : Epoch  7, Batch   1457, Loss  0.856248, Average Loss  0.867976, Time  0.234077
2021-09-22 17:44:46.592118 : Epoch  7, Batch   1458, Loss  0.886051, Average Loss  0.868027, Time  0.234033
2021-09-22 17:44:49.162931 : Epoch  7, Batch   1459, Loss  0.863598, Average Loss  0.868097, Time  0.233875
2021-09-22 17:44:51.749164 : Epoch  7, Batch   1460, Loss  0.866920, Average Loss  0.868040, Time  0.234681
2021-09-22 17:44:54.321435 : Epoch  7, Batch   1461, Loss  0.859770, Average Loss  0.868010, Time  0.233912
2021-09-22 17:44:56.898784 : Epoch  7, Batch   1462, Loss  0.876390, Average Loss  0.868043, Time  0.234020
2021-09-22 17:44:59.500102 : Epoch  7, Batch   1463, Loss  0.852904, Average Loss  0.868005, Time  0.233538
2021-09-22 17:45:02.088366 : Epoch  7, Batch   1464, Loss  0.880153, Average Loss  0.868019, Time  0.235114
2021-09-22 17:49:01.740871 : CheckPoint: Validation Loss  0.00029588, Best Loss  0.00029325
2021-09-22 17:49:04.323940 : Epoch  7, Batch   1465, Loss  0.863913, Average Loss  0.868003, Time  0.234622
2021-09-22 17:49:06.920326 : Epoch  7, Batch   1466, Loss  0.885114, Average Loss  0.868058, Time  0.236743
2021-09-22 17:49:09.523880 : Epoch  7, Batch   1467, Loss  0.871974, Average Loss  0.868172, Time  0.234981
2021-09-22 17:49:12.121302 : Epoch  7, Batch   1468, Loss  0.873228, Average Loss  0.868248, Time  0.233613
2021-09-22 17:49:14.708085 : Epoch  7, Batch   1469, Loss  0.882713, Average Loss  0.868368, Time  0.234040
2021-09-22 17:49:17.288864 : Epoch  7, Batch   1470, Loss  0.864194, Average Loss  0.868222, Time  0.234674
2021-09-22 17:49:19.884081 : Epoch  7, Batch   1471, Loss  0.870589, Average Loss  0.868203, Time  0.234767
2021-09-22 17:49:22.489033 : Epoch  7, Batch   1472, Loss  0.869291, Average Loss  0.868145, Time  0.241989
2021-09-22 17:49:25.085997 : Epoch  7, Batch   1473, Loss  0.863976, Average Loss  0.867982, Time  0.234895
2021-09-22 17:49:27.671342 : Epoch  7, Batch   1474, Loss  0.851702, Average Loss  0.867877, Time  0.234650
2021-09-22 17:49:30.262759 : Epoch  7, Batch   1475, Loss  0.884768, Average Loss  0.867966, Time  0.234964
2021-09-22 17:49:32.859554 : Epoch  7, Batch   1476, Loss  0.867406, Average Loss  0.868053, Time  0.236336
2021-09-22 17:49:35.448940 : Epoch  7, Batch   1477, Loss  0.858830, Average Loss  0.868039, Time  0.236143
2021-09-22 17:49:38.042345 : Epoch  7, Batch   1478, Loss  0.889979, Average Loss  0.868105, Time  0.235665
2021-09-22 17:49:40.644766 : Epoch  7, Batch   1479, Loss  0.854855, Average Loss  0.868057, Time  0.236116
2021-09-22 17:49:43.230537 : Epoch  7, Batch   1480, Loss  0.844582, Average Loss  0.867908, Time  0.234751
2021-09-22 17:49:45.820139 : Epoch  7, Batch   1481, Loss  0.860521, Average Loss  0.868037, Time  0.235811
2021-09-22 17:49:48.419363 : Epoch  7, Batch   1482, Loss  0.851990, Average Loss  0.867957, Time  0.235627
2021-09-22 17:49:51.022276 : Epoch  7, Batch   1483, Loss  0.866679, Average Loss  0.867882, Time  0.235169
2021-09-22 17:49:53.606966 : Epoch  7, Batch   1484, Loss  0.882157, Average Loss  0.867889, Time  0.235189
2021-09-22 17:49:56.198773 : Epoch  7, Batch   1485, Loss  0.854915, Average Loss  0.867855, Time  0.235538
2021-09-22 17:49:58.794911 : Epoch  7, Batch   1486, Loss  0.892120, Average Loss  0.867971, Time  0.235238
2021-09-22 17:50:01.388301 : Epoch  7, Batch   1487, Loss  0.860513, Average Loss  0.867892, Time  0.235727
2021-09-22 17:50:03.975797 : Epoch  7, Batch   1488, Loss  0.861488, Average Loss  0.867820, Time  0.234457
2021-09-22 17:50:06.567228 : Epoch  7, Batch   1489, Loss  0.894228, Average Loss  0.867882, Time  0.233731
2021-09-22 17:50:09.149066 : Epoch  7, Batch   1490, Loss  0.860178, Average Loss  0.867862, Time  0.234200
2021-09-22 17:50:11.735062 : Epoch  7, Batch   1491, Loss  0.854080, Average Loss  0.867811, Time  0.233302
2021-09-22 17:50:14.308952 : Epoch  7, Batch   1492, Loss  0.837982, Average Loss  0.867601, Time  0.234452
2021-09-22 17:50:16.898499 : Epoch  7, Batch   1493, Loss  0.862544, Average Loss  0.867613, Time  0.234979
2021-09-22 17:50:19.478332 : Epoch  7, Batch   1494, Loss  0.863167, Average Loss  0.867595, Time  0.234479
2021-09-22 17:50:22.064292 : Epoch  7, Batch   1495, Loss  0.874924, Average Loss  0.867617, Time  0.239516
2021-09-22 17:50:24.658989 : Epoch  7, Batch   1496, Loss  0.875923, Average Loss  0.867653, Time  0.235223
2021-09-22 17:50:27.234283 : Epoch  7, Batch   1497, Loss  0.871693, Average Loss  0.867742, Time  0.237194
2021-09-22 17:50:29.815313 : Epoch  7, Batch   1498, Loss  0.870838, Average Loss  0.867820, Time  0.234954
2021-09-22 17:50:32.412722 : Epoch  7, Batch   1499, Loss  0.877082, Average Loss  0.867917, Time  0.235646
2021-09-22 17:50:35.002111 : Epoch  7, Batch   1500, Loss  0.858486, Average Loss  0.867915, Time  0.235753
2021-09-22 17:50:37.620312 : Epoch  7, Batch   1501, Loss  0.848904, Average Loss  0.867828, Time  0.234659
2021-09-22 17:50:40.218886 : Epoch  7, Batch   1502, Loss  0.862160, Average Loss  0.867777, Time  0.237055
2021-09-22 17:50:42.822817 : Epoch  7, Batch   1503, Loss  0.886421, Average Loss  0.867913, Time  0.235480
2021-09-22 17:50:45.412231 : Epoch  7, Batch   1504, Loss  0.864120, Average Loss  0.868017, Time  0.236855
2021-09-22 17:50:47.994251 : Epoch  7, Batch   1505, Loss  0.886402, Average Loss  0.868046, Time  0.233598
2021-09-22 17:50:50.589247 : Epoch  7, Batch   1506, Loss  0.873253, Average Loss  0.868030, Time  0.234409
2021-09-22 17:50:53.180201 : Epoch  7, Batch   1507, Loss  0.866381, Average Loss  0.868020, Time  0.233982
2021-09-22 17:50:55.753083 : Epoch  7, Batch   1508, Loss  0.863122, Average Loss  0.867974, Time  0.233254
2021-09-22 17:50:58.349834 : Epoch  7, Batch   1509, Loss  0.893769, Average Loss  0.868079, Time  0.234467
2021-09-22 17:51:00.941701 : Epoch  7, Batch   1510, Loss  0.871504, Average Loss  0.868105, Time  0.236393
2021-09-22 17:51:03.516985 : Epoch  7, Batch   1511, Loss  0.858569, Average Loss  0.868004, Time  0.233289
2021-09-22 17:51:06.097003 : Epoch  7, Batch   1512, Loss  0.875082, Average Loss  0.867959, Time  0.233224
2021-09-22 17:51:08.678947 : Epoch  7, Batch   1513, Loss  0.875601, Average Loss  0.867948, Time  0.233682
2021-09-22 17:51:11.317851 : Epoch  7, Batch   1514, Loss  0.872321, Average Loss  0.868076, Time  0.233679
2021-09-22 17:51:13.890574 : Epoch  7, Batch   1515, Loss  0.853575, Average Loss  0.867984, Time  0.233903
2021-09-22 17:51:16.473894 : Epoch  7, Batch   1516, Loss  0.879124, Average Loss  0.868112, Time  0.233678
2021-09-22 17:51:19.069909 : Epoch  7, Batch   1517, Loss  0.863022, Average Loss  0.868025, Time  0.233853
2021-09-22 17:51:21.645724 : Epoch  7, Batch   1518, Loss  0.849173, Average Loss  0.867865, Time  0.233180
2021-09-22 17:51:24.258114 : Epoch  7, Batch   1519, Loss  0.874129, Average Loss  0.867774, Time  0.233835
2021-09-22 17:51:26.831039 : Epoch  7, Batch   1520, Loss  0.872085, Average Loss  0.867884, Time  0.234231
2021-09-22 17:51:29.481005 : Epoch  7, Batch   1521, Loss  0.874114, Average Loss  0.867928, Time  0.257129
2021-09-22 17:51:32.060809 : Epoch  7, Batch   1522, Loss  0.889044, Average Loss  0.868178, Time  0.233474
2021-09-22 17:51:34.641847 : Epoch  7, Batch   1523, Loss  0.862839, Average Loss  0.868132, Time  0.233465
2021-09-22 17:51:37.220917 : Epoch  7, Batch   1524, Loss  0.871577, Average Loss  0.868119, Time  0.233371
2021-09-22 17:51:39.789273 : Epoch  7, Batch   1525, Loss  0.860164, Average Loss  0.868009, Time  0.233582
2021-09-22 17:51:42.360703 : Epoch  7, Batch   1526, Loss  0.888981, Average Loss  0.868113, Time  0.233637
2021-09-22 17:51:44.954949 : Epoch  7, Batch   1527, Loss  0.886817, Average Loss  0.868313, Time  0.233311
2021-09-22 17:51:47.535693 : Epoch  7, Batch   1528, Loss  0.889744, Average Loss  0.868379, Time  0.233103
2021-09-22 17:51:50.121070 : Epoch  7, Batch   1529, Loss  0.853186, Average Loss  0.868372, Time  0.233458
2021-09-22 17:51:52.714096 : Epoch  7, Batch   1530, Loss  0.880509, Average Loss  0.868445, Time  0.234418
2021-09-22 17:51:55.296279 : Epoch  7, Batch   1531, Loss  0.873450, Average Loss  0.868418, Time  0.233764
2021-09-22 17:51:57.877379 : Epoch  7, Batch   1532, Loss  0.858252, Average Loss  0.868465, Time  0.233619
2021-09-22 17:52:00.507101 : Epoch  7, Batch   1533, Loss  0.851209, Average Loss  0.868393, Time  0.233594
2021-09-22 17:52:03.090840 : Epoch  7, Batch   1534, Loss  0.876845, Average Loss  0.868496, Time  0.233217
2021-09-22 17:52:05.693823 : Epoch  7, Batch   1535, Loss  0.846773, Average Loss  0.868447, Time  0.240624
2021-09-22 17:52:08.300723 : Epoch  7, Batch   1536, Loss  0.879212, Average Loss  0.868424, Time  0.234204
2021-09-22 17:52:10.884096 : Epoch  7, Batch   1537, Loss  0.869783, Average Loss  0.868399, Time  0.234243
2021-09-22 17:52:13.505745 : Epoch  7, Batch   1538, Loss  0.870438, Average Loss  0.868490, Time  0.234120
2021-09-22 17:52:16.129216 : Epoch  7, Batch   1539, Loss  0.885243, Average Loss  0.868565, Time  0.234590
2021-09-22 17:52:18.728946 : Epoch  7, Batch   1540, Loss  0.871951, Average Loss  0.868524, Time  0.234678
2021-09-22 17:52:21.327930 : Epoch  7, Batch   1541, Loss  0.877987, Average Loss  0.868570, Time  0.235240
2021-09-22 17:52:23.938032 : Epoch  7, Batch   1542, Loss  0.885327, Average Loss  0.868651, Time  0.235581
2021-09-22 17:52:26.521344 : Epoch  7, Batch   1543, Loss  0.880270, Average Loss  0.868722, Time  0.234620
2021-09-22 17:52:29.156441 : Epoch  7, Batch   1544, Loss  0.868899, Average Loss  0.868812, Time  0.234541
2021-09-22 17:52:31.755143 : Epoch  7, Batch   1545, Loss  0.846042, Average Loss  0.868680, Time  0.234714
2021-09-22 17:52:34.328747 : Epoch  7, Batch   1546, Loss  0.883118, Average Loss  0.868765, Time  0.234486
2021-09-22 17:52:36.908312 : Epoch  7, Batch   1547, Loss  0.873811, Average Loss  0.868750, Time  0.234681
2021-09-22 17:52:39.499256 : Epoch  7, Batch   1548, Loss  0.863280, Average Loss  0.868643, Time  0.234658
2021-09-22 17:52:42.133311 : Epoch  7, Batch   1549, Loss  0.887871, Average Loss  0.868731, Time  0.234650
2021-09-22 17:52:44.744889 : Epoch  7, Batch   1550, Loss  0.880743, Average Loss  0.868836, Time  0.234589
2021-09-22 17:52:47.335917 : Epoch  7, Batch   1551, Loss  0.861547, Average Loss  0.868815, Time  0.234662
2021-09-22 17:52:49.948825 : Epoch  7, Batch   1552, Loss  0.851324, Average Loss  0.868729, Time  0.234253
2021-09-22 17:52:52.561324 : Epoch  7, Batch   1553, Loss  0.865914, Average Loss  0.868726, Time  0.234780
2021-09-22 17:52:55.170289 : Epoch  7, Batch   1554, Loss  0.853126, Average Loss  0.868628, Time  0.234487
2021-09-22 17:52:57.759433 : Epoch  7, Batch   1555, Loss  0.856963, Average Loss  0.868547, Time  0.235012
2021-09-22 17:53:00.356859 : Epoch  7, Batch   1556, Loss  0.900225, Average Loss  0.868717, Time  0.234480
2021-09-22 17:53:02.964859 : Epoch  7, Batch   1557, Loss  0.872553, Average Loss  0.868706, Time  0.234840
2021-09-22 17:53:05.559272 : Epoch  7, Batch   1558, Loss  0.851526, Average Loss  0.868600, Time  0.234428
2021-09-22 17:53:08.160318 : Epoch  7, Batch   1559, Loss  0.855237, Average Loss  0.868467, Time  0.235234
2021-09-22 17:53:10.753822 : Epoch  7, Batch   1560, Loss  0.858543, Average Loss  0.868533, Time  0.234505
2021-09-22 17:53:13.342293 : Epoch  7, Batch   1561, Loss  0.846938, Average Loss  0.868372, Time  0.234454
2021-09-22 17:53:15.934790 : Epoch  7, Batch   1562, Loss  0.860439, Average Loss  0.868390, Time  0.234417
2021-09-22 17:53:18.541308 : Epoch  7, Batch   1563, Loss  0.859905, Average Loss  0.868348, Time  0.234469
2021-09-22 17:53:21.126016 : Epoch  7, Batch   1564, Loss  0.883903, Average Loss  0.868325, Time  0.234792
2021-09-22 17:57:21.384684 : CheckPoint: Validation Loss  0.00029767, Best Loss  0.00029325
2021-09-22 17:57:23.968852 : Epoch  7, Batch   1565, Loss  0.854478, Average Loss  0.868196, Time  0.233809
2021-09-22 17:57:26.560904 : Epoch  7, Batch   1566, Loss  0.884832, Average Loss  0.868256, Time  0.233054
2021-09-22 17:57:29.152164 : Epoch  7, Batch   1567, Loss  0.867801, Average Loss  0.868337, Time  0.233662
2021-09-22 17:57:31.745247 : Epoch  7, Batch   1568, Loss  0.874151, Average Loss  0.868345, Time  0.233410
2021-09-22 17:57:34.347970 : Epoch  7, Batch   1569, Loss  0.891148, Average Loss  0.868607, Time  0.233482
2021-09-22 17:57:36.944021 : Epoch  7, Batch   1570, Loss  0.846403, Average Loss  0.868427, Time  0.233818
2021-09-22 17:57:39.541703 : Epoch  7, Batch   1571, Loss  0.865195, Average Loss  0.868327, Time  0.235533
2021-09-22 17:57:42.144720 : Epoch  7, Batch   1572, Loss  0.862450, Average Loss  0.868346, Time  0.233469
2021-09-22 17:57:44.732765 : Epoch  7, Batch   1573, Loss  0.905595, Average Loss  0.868552, Time  0.233941
2021-09-22 17:57:47.327836 : Epoch  7, Batch   1574, Loss  0.868663, Average Loss  0.868643, Time  0.233368
2021-09-22 17:57:49.939694 : Epoch  7, Batch   1575, Loss  0.862038, Average Loss  0.868527, Time  0.234724
2021-09-22 17:57:52.577209 : Epoch  7, Batch   1576, Loss  0.868354, Average Loss  0.868602, Time  0.234233
2021-09-22 17:57:55.173265 : Epoch  7, Batch   1577, Loss  0.873612, Average Loss  0.868498, Time  0.235043
2021-09-22 17:57:57.776700 : Epoch  7, Batch   1578, Loss  0.887962, Average Loss  0.868586, Time  0.234311
2021-09-22 17:58:00.383030 : Epoch  7, Batch   1579, Loss  0.846708, Average Loss  0.868571, Time  0.233316
2021-09-22 17:58:02.980267 : Epoch  7, Batch   1580, Loss  0.878274, Average Loss  0.868562, Time  0.235018
2021-09-22 17:58:05.586704 : Epoch  7, Batch   1581, Loss  0.877882, Average Loss  0.868493, Time  0.233472
2021-09-22 17:58:08.186026 : Epoch  7, Batch   1582, Loss  0.888922, Average Loss  0.868591, Time  0.233423
2021-09-22 17:58:10.791752 : Epoch  7, Batch   1583, Loss  0.870823, Average Loss  0.868634, Time  0.233896
2021-09-22 17:58:13.393776 : Epoch  7, Batch   1584, Loss  0.884300, Average Loss  0.868764, Time  0.234374
2021-09-22 17:58:15.981790 : Epoch  7, Batch   1585, Loss  0.871344, Average Loss  0.868732, Time  0.233869
2021-09-22 17:58:18.581935 : Epoch  7, Batch   1586, Loss  0.840590, Average Loss  0.868676, Time  0.234745
2021-09-22 18:01:35.409721 : Building dataset train from orignial text documents
2021-09-22 18:04:20.311696 : Finish Loading dataset train
2021-09-22 18:04:20.340332 : Data Shuffle
2021-09-22 18:04:20.362616 : Start Shuffling
2021-09-22 18:04:21.565593 : Finish Shuffling
2021-09-22 18:04:21.655585 : Generate Batch
2021-09-22 18:04:22.002575 : Building dataset valid from orignial text documents
2021-09-22 18:04:29.341586 : Finish Loading dataset valid
2021-09-22 18:04:29.382550 : Data Shuffle
2021-09-22 18:04:29.419547 : Start Shuffling
2021-09-22 18:04:29.508577 : Finish Shuffling
2021-09-22 18:04:29.547569 : Generate Batch
2021-09-22 18:04:29.618561 : There are 928 batches per epoch
2021-09-22 18:04:29.654548 : Batch Shuffled
2021-09-22 18:04:34.869599 : Epoch  1, Batch      1, Loss  1.875804, Average Loss  1.875804, Time  0.653522
2021-09-22 18:04:39.879970 : Epoch  1, Batch      2, Loss  1.874796, Average Loss  1.875300, Time  0.466346
2021-09-22 18:04:44.918805 : Epoch  1, Batch      3, Loss  1.874751, Average Loss  1.875117, Time  0.418267
2021-09-22 18:04:49.955974 : Epoch  1, Batch      4, Loss  1.872479, Average Loss  1.874457, Time  0.412098
2021-09-22 18:04:54.936833 : Epoch  1, Batch      5, Loss  1.873858, Average Loss  1.874338, Time  0.412670
2021-09-22 18:04:59.969021 : Epoch  1, Batch      6, Loss  1.869470, Average Loss  1.873526, Time  0.412856
2021-09-22 18:05:05.011058 : Epoch  1, Batch      7, Loss  1.856847, Average Loss  1.871143, Time  0.414287
2021-09-22 18:05:10.042092 : Epoch  1, Batch      8, Loss  1.850436, Average Loss  1.868555, Time  0.414194
2021-09-22 18:05:15.092069 : Epoch  1, Batch      9, Loss  1.845539, Average Loss  1.865998, Time  0.414054
2021-09-22 18:05:20.142789 : Epoch  1, Batch     10, Loss  1.833222, Average Loss  1.862720, Time  0.414206
2021-09-22 18:05:25.256933 : Epoch  1, Batch     11, Loss  1.833731, Average Loss  1.860085, Time  0.475009
2021-09-22 18:05:30.296936 : Epoch  1, Batch     12, Loss  1.824656, Average Loss  1.857132, Time  0.418792
2021-09-22 18:05:35.325897 : Epoch  1, Batch     13, Loss  1.809969, Average Loss  1.853504, Time  0.413937
2021-09-22 18:05:40.376948 : Epoch  1, Batch     14, Loss  1.800532, Average Loss  1.849721, Time  0.414454
2021-09-22 18:05:45.403078 : Epoch  1, Batch     15, Loss  1.793400, Average Loss  1.845966, Time  0.414115
2021-09-22 18:05:50.488835 : Epoch  1, Batch     16, Loss  1.778826, Average Loss  1.841770, Time  0.415131
2021-09-22 18:05:55.517247 : Epoch  1, Batch     17, Loss  1.775751, Average Loss  1.837886, Time  0.415277
2021-09-22 18:06:00.573112 : Epoch  1, Batch     18, Loss  1.759156, Average Loss  1.833512, Time  0.415348
2021-09-22 18:06:05.646306 : Epoch  1, Batch     19, Loss  1.759429, Average Loss  1.829613, Time  0.415946
2021-09-22 18:06:10.701992 : Epoch  1, Batch     20, Loss  1.745591, Average Loss  1.825412, Time  0.454600
2021-09-22 18:06:15.744004 : Epoch  1, Batch     21, Loss  1.730244, Average Loss  1.820880, Time  0.414301
2021-09-22 18:06:20.775089 : Epoch  1, Batch     22, Loss  1.718246, Average Loss  1.816215, Time  0.414139
2021-09-22 18:06:25.831884 : Epoch  1, Batch     23, Loss  1.713263, Average Loss  1.811739, Time  0.414513
2021-09-22 18:06:30.860861 : Epoch  1, Batch     24, Loss  1.702966, Average Loss  1.807207, Time  0.414024
2021-09-22 18:06:35.876885 : Epoch  1, Batch     25, Loss  1.702650, Average Loss  1.803024, Time  0.414112
2021-09-22 18:06:40.893835 : Epoch  1, Batch     26, Loss  1.701254, Average Loss  1.799110, Time  0.414296
2021-09-22 18:06:45.928006 : Epoch  1, Batch     27, Loss  1.688117, Average Loss  1.794999, Time  0.415127
2021-09-22 18:06:51.024019 : Epoch  1, Batch     28, Loss  1.694501, Average Loss  1.791410, Time  0.415013
2021-09-22 18:06:56.074806 : Epoch  1, Batch     29, Loss  1.682833, Average Loss  1.787666, Time  0.436451
2021-09-22 18:07:01.140800 : Epoch  1, Batch     30, Loss  1.678012, Average Loss  1.784011, Time  0.416675
2021-09-22 18:07:06.180812 : Epoch  1, Batch     31, Loss  1.694351, Average Loss  1.781119, Time  0.417821
2021-09-22 18:07:11.197042 : Epoch  1, Batch     32, Loss  1.687985, Average Loss  1.778208, Time  0.414375
2021-09-22 18:07:16.252922 : Epoch  1, Batch     33, Loss  1.679379, Average Loss  1.775213, Time  0.414399
2021-09-22 18:07:21.287852 : Epoch  1, Batch     34, Loss  1.679096, Average Loss  1.772386, Time  0.417782
2021-09-22 18:07:26.318836 : Epoch  1, Batch     35, Loss  1.661643, Average Loss  1.769222, Time  0.417120
2021-09-22 18:07:31.351027 : Epoch  1, Batch     36, Loss  1.672264, Average Loss  1.766529, Time  0.414104
2021-09-22 18:07:36.386834 : Epoch  1, Batch     37, Loss  1.675197, Average Loss  1.764061, Time  0.414928
2021-09-22 18:07:41.463127 : Epoch  1, Batch     38, Loss  1.674723, Average Loss  1.761710, Time  0.448173
2021-09-22 18:07:46.517068 : Epoch  1, Batch     39, Loss  1.675740, Average Loss  1.759505, Time  0.416092
2021-09-22 18:07:51.560818 : Epoch  1, Batch     40, Loss  1.670249, Average Loss  1.757274, Time  0.414774
2021-09-22 18:07:56.621882 : Epoch  1, Batch     41, Loss  1.664680, Average Loss  1.755015, Time  0.426147
2021-09-22 18:08:01.660004 : Epoch  1, Batch     42, Loss  1.663585, Average Loss  1.752839, Time  0.414422
2021-09-22 18:08:06.817828 : Epoch  1, Batch     43, Loss  1.660964, Average Loss  1.750702, Time  0.414712
2021-09-22 18:08:11.856181 : Epoch  1, Batch     44, Loss  1.673954, Average Loss  1.748958, Time  0.414085
2021-09-22 18:08:16.888264 : Epoch  1, Batch     45, Loss  1.676946, Average Loss  1.747357, Time  0.413994
2021-09-22 18:08:21.939160 : Epoch  1, Batch     46, Loss  1.663989, Average Loss  1.745545, Time  0.414531
2021-09-22 18:08:27.026454 : Epoch  1, Batch     47, Loss  1.669485, Average Loss  1.743927, Time  0.468487
2021-09-22 18:08:32.213867 : Epoch  1, Batch     48, Loss  1.661448, Average Loss  1.742208, Time  0.420249
2021-09-22 18:08:37.252073 : Epoch  1, Batch     49, Loss  1.665614, Average Loss  1.740645, Time  0.413972
2021-09-22 18:08:42.282952 : Epoch  1, Batch     50, Loss  1.662918, Average Loss  1.739091, Time  0.414391
2021-09-22 18:08:47.317024 : Epoch  1, Batch     51, Loss  1.659893, Average Loss  1.737538, Time  0.414276
2021-09-22 18:08:52.339919 : Epoch  1, Batch     52, Loss  1.660912, Average Loss  1.736064, Time  0.415491
2021-09-22 18:08:57.369066 : Epoch  1, Batch     53, Loss  1.646956, Average Loss  1.734383, Time  0.415488
2021-09-22 18:09:02.396822 : Epoch  1, Batch     54, Loss  1.662218, Average Loss  1.733047, Time  0.414481
2021-09-22 18:09:07.420856 : Epoch  1, Batch     55, Loss  1.666506, Average Loss  1.731837, Time  0.414478
2021-09-22 18:09:12.486080 : Epoch  1, Batch     56, Loss  1.663464, Average Loss  1.730616, Time  0.451742
2021-09-22 18:09:17.540816 : Epoch  1, Batch     57, Loss  1.654873, Average Loss  1.729287, Time  0.414104
2021-09-22 18:09:22.572810 : Epoch  1, Batch     58, Loss  1.663266, Average Loss  1.728149, Time  0.414340
2021-09-22 18:09:27.602238 : Epoch  1, Batch     59, Loss  1.665532, Average Loss  1.727087, Time  0.414555
2021-09-22 18:09:32.625911 : Epoch  1, Batch     60, Loss  1.657355, Average Loss  1.725925, Time  0.414006
2021-09-22 18:09:37.658863 : Epoch  1, Batch     61, Loss  1.658864, Average Loss  1.724826, Time  0.414273
2021-09-22 18:09:42.700061 : Epoch  1, Batch     62, Loss  1.655310, Average Loss  1.723705, Time  0.414485
2021-09-22 18:09:47.750673 : Epoch  1, Batch     63, Loss  1.658836, Average Loss  1.722675, Time  0.414513
2021-09-22 18:09:52.790791 : Epoch  1, Batch     64, Loss  1.656804, Average Loss  1.721646, Time  0.415267
2021-09-22 18:09:57.895899 : Epoch  1, Batch     65, Loss  1.658252, Average Loss  1.720670, Time  0.470978
2021-09-22 18:10:02.982094 : Epoch  1, Batch     66, Loss  1.657931, Average Loss  1.719720, Time  0.418142
2021-09-22 18:10:08.042987 : Epoch  1, Batch     67, Loss  1.654848, Average Loss  1.718752, Time  0.414970
2021-09-22 18:10:13.101122 : Epoch  1, Batch     68, Loss  1.659616, Average Loss  1.717882, Time  0.414507
2021-09-22 18:10:18.147799 : Epoch  1, Batch     69, Loss  1.657315, Average Loss  1.717004, Time  0.414317
2021-09-22 18:10:23.178801 : Epoch  1, Batch     70, Loss  1.658043, Average Loss  1.716162, Time  0.414934
2021-09-22 18:10:28.208842 : Epoch  1, Batch     71, Loss  1.647824, Average Loss  1.715199, Time  0.418035
2021-09-22 18:10:33.252041 : Epoch  1, Batch     72, Loss  1.659521, Average Loss  1.714426, Time  0.414321
2021-09-22 18:10:38.398136 : Epoch  1, Batch     73, Loss  1.649808, Average Loss  1.713541, Time  0.437573
2021-09-22 18:10:43.499299 : Epoch  1, Batch     74, Loss  1.650056, Average Loss  1.712683, Time  0.451674
2021-09-22 18:10:48.547806 : Epoch  1, Batch     75, Loss  1.644613, Average Loss  1.711775, Time  0.415526
2021-09-22 18:10:53.593873 : Epoch  1, Batch     76, Loss  1.652585, Average Loss  1.710997, Time  0.415426
2021-09-22 18:10:58.624053 : Epoch  1, Batch     77, Loss  1.645515, Average Loss  1.710146, Time  0.414781
2021-09-22 18:11:03.683879 : Epoch  1, Batch     78, Loss  1.647305, Average Loss  1.709340, Time  0.415404
2021-09-22 18:11:08.733790 : Epoch  1, Batch     79, Loss  1.644052, Average Loss  1.708514, Time  0.415153
2021-09-22 18:11:13.763199 : Epoch  1, Batch     80, Loss  1.641769, Average Loss  1.707680, Time  0.414207
2021-09-22 18:11:18.790776 : Epoch  1, Batch     81, Loss  1.637731, Average Loss  1.706816, Time  0.413809
2021-09-22 18:11:23.826762 : Epoch  1, Batch     82, Loss  1.641414, Average Loss  1.706019, Time  0.414503
2021-09-22 18:11:28.933847 : Epoch  1, Batch     83, Loss  1.638832, Average Loss  1.705209, Time  0.468338
2021-09-22 18:11:34.091857 : Epoch  1, Batch     84, Loss  1.638791, Average Loss  1.704418, Time  0.437373
2021-09-22 18:11:39.131793 : Epoch  1, Batch     85, Loss  1.632125, Average Loss  1.703568, Time  0.413731
2021-09-22 18:11:44.173120 : Epoch  1, Batch     86, Loss  1.631297, Average Loss  1.702728, Time  0.414158
2021-09-22 18:11:49.290965 : Epoch  1, Batch     87, Loss  1.632769, Average Loss  1.701923, Time  0.414176
2021-09-22 18:11:54.332881 : Epoch  1, Batch     88, Loss  1.625836, Average Loss  1.701059, Time  0.416075
2021-09-22 18:11:59.370036 : Epoch  1, Batch     89, Loss  1.629575, Average Loss  1.700256, Time  0.414320
2021-09-22 18:12:04.394850 : Epoch  1, Batch     90, Loss  1.634387, Average Loss  1.699524, Time  0.420697
2021-09-22 18:12:09.436964 : Epoch  1, Batch     91, Loss  1.614175, Average Loss  1.698586, Time  0.414150
2021-09-22 18:12:14.481021 : Epoch  1, Batch     92, Loss  1.606534, Average Loss  1.697585, Time  0.468240
2021-09-22 18:12:19.519592 : Epoch  1, Batch     93, Loss  1.601182, Average Loss  1.696549, Time  0.419138
2021-09-22 18:12:24.496926 : Epoch  1, Batch     94, Loss  1.605239, Average Loss  1.695577, Time  0.413973
2021-09-22 18:12:29.507504 : Epoch  1, Batch     95, Loss  1.590440, Average Loss  1.694471, Time  0.414079
2021-09-22 18:12:34.461002 : Epoch  1, Batch     96, Loss  1.580575, Average Loss  1.693284, Time  0.414248
2021-09-22 18:12:39.424873 : Epoch  1, Batch     97, Loss  1.571183, Average Loss  1.692025, Time  0.414278
2021-09-22 18:12:44.430949 : Epoch  1, Batch     98, Loss  1.556866, Average Loss  1.690646, Time  0.414306
2021-09-22 18:12:49.395855 : Epoch  1, Batch     99, Loss  1.549273, Average Loss  1.689218, Time  0.414660
2021-09-22 18:12:54.377804 : Epoch  1, Batch    100, Loss  1.543519, Average Loss  1.687761, Time  0.414473
2021-09-22 18:16:52.506815 : CheckPoint: Validation Loss  0.00026312, Best Loss  0.00026312
2021-09-22 18:16:52.541954 : Best Model Updated
2021-09-22 18:16:58.257027 : Epoch  1, Batch    101, Loss  1.521208, Average Loss  1.686112, Time  0.422771
2021-09-22 18:17:03.257455 : Epoch  1, Batch    102, Loss  1.507254, Average Loss  1.684359, Time  0.414374
2021-09-22 18:17:08.238074 : Epoch  1, Batch    103, Loss  1.497576, Average Loss  1.682545, Time  0.414136
2021-09-22 18:17:13.225184 : Epoch  1, Batch    104, Loss  1.476742, Average Loss  1.680566, Time  0.414320
2021-09-22 18:17:18.188858 : Epoch  1, Batch    105, Loss  1.470148, Average Loss  1.678562, Time  0.413877
2021-09-22 18:17:23.284391 : Epoch  1, Batch    106, Loss  1.463679, Average Loss  1.676535, Time  0.414234
2021-09-22 18:17:28.366074 : Epoch  1, Batch    107, Loss  1.434165, Average Loss  1.674270, Time  0.413993
2021-09-22 18:17:33.394362 : Epoch  1, Batch    108, Loss  1.436183, Average Loss  1.672066, Time  0.413767
2021-09-22 18:17:38.420249 : Epoch  1, Batch    109, Loss  1.440443, Average Loss  1.669941, Time  0.455772
2021-09-22 18:17:43.429871 : Epoch  1, Batch    110, Loss  1.423029, Average Loss  1.667696, Time  0.414047
2021-09-22 18:17:48.423180 : Epoch  1, Batch    111, Loss  1.414641, Average Loss  1.665416, Time  0.415229
2021-09-22 18:17:53.494152 : Epoch  1, Batch    112, Loss  1.399233, Average Loss  1.663039, Time  0.416332
2021-09-22 18:17:58.566798 : Epoch  1, Batch    113, Loss  1.402380, Average Loss  1.660733, Time  0.414726
2021-09-22 18:18:03.623853 : Epoch  1, Batch    114, Loss  1.396727, Average Loss  1.658417, Time  0.415665
2021-09-22 18:18:08.719048 : Epoch  1, Batch    115, Loss  1.386393, Average Loss  1.656051, Time  0.414505
2021-09-22 18:18:13.767197 : Epoch  1, Batch    116, Loss  1.391774, Average Loss  1.653773, Time  0.414567
2021-09-22 18:18:18.751003 : Epoch  1, Batch    117, Loss  1.389390, Average Loss  1.651514, Time  0.415168
2021-09-22 18:18:23.754106 : Epoch  1, Batch    118, Loss  1.395497, Average Loss  1.649344, Time  0.457319
2021-09-22 18:18:28.722997 : Epoch  1, Batch    119, Loss  1.387816, Average Loss  1.647146, Time  0.414042
2021-09-22 18:18:33.696072 : Epoch  1, Batch    120, Loss  1.380106, Average Loss  1.644921, Time  0.414857
2021-09-22 18:18:38.677159 : Epoch  1, Batch    121, Loss  1.377215, Average Loss  1.642708, Time  0.414310
2021-09-22 18:18:43.668848 : Epoch  1, Batch    122, Loss  1.385063, Average Loss  1.640597, Time  0.414488
2021-09-22 18:18:48.644820 : Epoch  1, Batch    123, Loss  1.367957, Average Loss  1.638380, Time  0.415014
2021-09-22 18:18:53.640141 : Epoch  1, Batch    124, Loss  1.356232, Average Loss  1.636105, Time  0.415716
2021-09-22 18:18:58.614032 : Epoch  1, Batch    125, Loss  1.338644, Average Loss  1.633725, Time  0.414760
2021-09-22 18:19:03.581851 : Epoch  1, Batch    126, Loss  1.345693, Average Loss  1.631439, Time  0.415373
2021-09-22 18:19:08.565830 : Epoch  1, Batch    127, Loss  1.340775, Average Loss  1.629150, Time  0.414486
2021-09-22 18:19:13.656016 : Epoch  1, Batch    128, Loss  1.333554, Average Loss  1.626841, Time  0.454544
2021-09-22 18:19:18.684690 : Epoch  1, Batch    129, Loss  1.317989, Average Loss  1.624447, Time  0.414438
2021-09-22 18:19:23.695013 : Epoch  1, Batch    130, Loss  1.313187, Average Loss  1.622052, Time  0.414915
2021-09-22 18:19:27.372006 : Epoch  1, Batch    131, Loss  1.310697, Average Loss  1.619676, Time  0.319129
2021-09-22 18:19:32.358892 : Epoch  1, Batch    132, Loss  1.304016, Average Loss  1.617284, Time  0.414462
2021-09-22 18:19:37.320202 : Epoch  1, Batch    133, Loss  1.293397, Average Loss  1.614849, Time  0.414332
2021-09-22 18:19:42.304105 : Epoch  1, Batch    134, Loss  1.284905, Average Loss  1.612387, Time  0.414147
2021-09-22 18:19:47.279289 : Epoch  1, Batch    135, Loss  1.270741, Average Loss  1.609856, Time  0.422426
2021-09-22 18:19:52.243065 : Epoch  1, Batch    136, Loss  1.286024, Average Loss  1.607475, Time  0.415160
2021-09-22 18:19:57.215181 : Epoch  1, Batch    137, Loss  1.274745, Average Loss  1.605046, Time  0.415432
2021-09-22 18:20:02.254801 : Epoch  1, Batch    138, Loss  1.263042, Average Loss  1.602568, Time  0.467655
2021-09-22 18:20:07.255117 : Epoch  1, Batch    139, Loss  1.240504, Average Loss  1.599963, Time  0.421316
2021-09-22 18:20:12.250867 : Epoch  1, Batch    140, Loss  1.231146, Average Loss  1.597329, Time  0.415081
2021-09-22 18:20:17.227048 : Epoch  1, Batch    141, Loss  1.232320, Average Loss  1.594740, Time  0.414545
2021-09-22 18:20:22.223070 : Epoch  1, Batch    142, Loss  1.222940, Average Loss  1.592122, Time  0.414287
2021-09-22 18:20:27.252830 : Epoch  1, Batch    143, Loss  1.218472, Average Loss  1.589509, Time  0.414652
2021-09-22 18:20:32.261110 : Epoch  1, Batch    144, Loss  1.216714, Average Loss  1.586920, Time  0.414851
2021-09-22 18:20:37.243111 : Epoch  1, Batch    145, Loss  1.215808, Average Loss  1.584361, Time  0.414292
2021-09-22 18:20:42.223887 : Epoch  1, Batch    146, Loss  1.193096, Average Loss  1.581681, Time  0.414325
2021-09-22 18:20:47.225847 : Epoch  1, Batch    147, Loss  1.181677, Average Loss  1.578960, Time  0.452099
2021-09-22 18:20:52.203834 : Epoch  1, Batch    148, Loss  1.181238, Average Loss  1.576272, Time  0.415411
2021-09-22 18:20:57.194913 : Epoch  1, Batch    149, Loss  1.170318, Average Loss  1.573548, Time  0.414816
2021-09-22 18:21:02.176865 : Epoch  1, Batch    150, Loss  1.167141, Average Loss  1.570838, Time  0.414919
2021-09-22 18:21:07.153207 : Epoch  1, Batch    151, Loss  1.173539, Average Loss  1.568207, Time  0.417838
2021-09-22 18:21:12.119673 : Epoch  1, Batch    152, Loss  1.139407, Average Loss  1.565386, Time  0.414640
2021-09-22 18:21:17.152957 : Epoch  1, Batch    153, Loss  1.142781, Average Loss  1.562624, Time  0.414477
2021-09-22 18:21:22.121126 : Epoch  1, Batch    154, Loss  1.139831, Average Loss  1.559879, Time  0.414456
2021-09-22 18:21:27.096886 : Epoch  1, Batch    155, Loss  1.128077, Average Loss  1.557093, Time  0.413975
2021-09-22 18:21:32.163856 : Epoch  1, Batch    156, Loss  1.119360, Average Loss  1.554287, Time  0.463704
2021-09-22 18:21:37.171809 : Epoch  1, Batch    157, Loss  1.143630, Average Loss  1.551671, Time  0.414168
2021-09-22 18:21:42.186458 : Epoch  1, Batch    158, Loss  1.123291, Average Loss  1.548960, Time  0.415129
2021-09-22 18:21:47.196766 : Epoch  1, Batch    159, Loss  1.112071, Average Loss  1.546212, Time  0.414175
2021-09-22 18:21:52.209087 : Epoch  1, Batch    160, Loss  1.105286, Average Loss  1.543456, Time  0.417251
2021-09-22 18:21:57.202051 : Epoch  1, Batch    161, Loss  1.104415, Average Loss  1.540729, Time  0.415501
2021-09-22 18:22:02.177840 : Epoch  1, Batch    162, Loss  1.099284, Average Loss  1.538004, Time  0.414873
2021-09-22 18:22:07.147136 : Epoch  1, Batch    163, Loss  1.095923, Average Loss  1.535292, Time  0.414600
2021-09-22 18:22:12.101450 : Epoch  1, Batch    164, Loss  1.078776, Average Loss  1.532509, Time  0.416116
2021-09-22 18:22:17.107527 : Epoch  1, Batch    165, Loss  1.064488, Average Loss  1.529672, Time  0.451439
2021-09-22 18:22:22.096982 : Epoch  1, Batch    166, Loss  1.096129, Average Loss  1.527060, Time  0.413935
2021-09-22 18:22:27.088080 : Epoch  1, Batch    167, Loss  1.090461, Average Loss  1.524446, Time  0.414199
2021-09-22 18:22:32.051862 : Epoch  1, Batch    168, Loss  1.052622, Average Loss  1.521638, Time  0.414261
2021-09-22 18:22:37.067253 : Epoch  1, Batch    169, Loss  1.062770, Average Loss  1.518922, Time  0.414127
2021-09-22 18:22:42.069214 : Epoch  1, Batch    170, Loss  1.052351, Average Loss  1.516178, Time  0.414599
2021-09-22 18:22:47.096905 : Epoch  1, Batch    171, Loss  1.051684, Average Loss  1.513462, Time  0.414275
2021-09-22 18:22:52.095011 : Epoch  1, Batch    172, Loss  1.054290, Average Loss  1.510792, Time  0.414185
2021-09-22 18:22:57.068077 : Epoch  1, Batch    173, Loss  1.050971, Average Loss  1.508134, Time  0.415086
2021-09-22 18:23:02.130097 : Epoch  1, Batch    174, Loss  1.058000, Average Loss  1.505547, Time  0.455174
2021-09-22 18:23:07.102884 : Epoch  1, Batch    175, Loss  1.051941, Average Loss  1.502955, Time  0.415721
2021-09-22 18:23:12.071382 : Epoch  1, Batch    176, Loss  1.065408, Average Loss  1.500469, Time  0.424681
2021-09-22 18:23:17.044811 : Epoch  1, Batch    177, Loss  1.033786, Average Loss  1.497832, Time  0.414925
2021-09-22 18:23:22.024169 : Epoch  1, Batch    178, Loss  1.034394, Average Loss  1.495229, Time  0.414407
2021-09-22 18:23:26.995201 : Epoch  1, Batch    179, Loss  1.035043, Average Loss  1.492658, Time  0.414135
2021-09-22 18:23:31.981964 : Epoch  1, Batch    180, Loss  1.041191, Average Loss  1.490150, Time  0.414090
2021-09-22 18:23:36.983780 : Epoch  1, Batch    181, Loss  1.027628, Average Loss  1.487594, Time  0.414456
2021-09-22 18:23:41.973033 : Epoch  1, Batch    182, Loss  1.009111, Average Loss  1.484965, Time  0.414600
2021-09-22 18:23:46.984797 : Epoch  1, Batch    183, Loss  1.042242, Average Loss  1.482546, Time  0.455069
2021-09-22 18:23:52.013800 : Epoch  1, Batch    184, Loss  1.008653, Average Loss  1.479971, Time  0.414452
2021-09-22 18:23:57.035109 : Epoch  1, Batch    185, Loss  1.027642, Average Loss  1.477526, Time  0.415877
2021-09-22 18:24:02.044143 : Epoch  1, Batch    186, Loss  1.014850, Average Loss  1.475038, Time  0.415487
2021-09-22 18:24:07.077201 : Epoch  1, Batch    187, Loss  1.008980, Average Loss  1.472546, Time  0.415684
2021-09-22 18:24:12.044192 : Epoch  1, Batch    188, Loss  1.015053, Average Loss  1.470112, Time  0.417799
2021-09-22 18:24:17.016441 : Epoch  1, Batch    189, Loss  1.006115, Average Loss  1.467657, Time  0.415666
2021-09-22 18:24:21.976690 : Epoch  1, Batch    190, Loss  1.000809, Average Loss  1.465200, Time  0.414447
2021-09-22 18:24:26.967905 : Epoch  1, Batch    191, Loss  1.013058, Average Loss  1.462833, Time  0.414790
2021-09-22 18:24:31.979837 : Epoch  1, Batch    192, Loss  1.011796, Average Loss  1.460484, Time  0.460369
2021-09-22 18:24:36.953816 : Epoch  1, Batch    193, Loss  1.007662, Average Loss  1.458138, Time  0.414221
2021-09-22 18:24:41.952000 : Epoch  1, Batch    194, Loss  0.997913, Average Loss  1.455765, Time  0.414248
2021-09-22 18:24:46.928242 : Epoch  1, Batch    195, Loss  0.994073, Average Loss  1.453398, Time  0.413860
2021-09-22 18:24:51.889838 : Epoch  1, Batch    196, Loss  0.977111, Average Loss  1.450968, Time  0.415278
2021-09-22 18:24:56.847804 : Epoch  1, Batch    197, Loss  0.979935, Average Loss  1.448577, Time  0.414121
2021-09-22 18:25:01.849104 : Epoch  1, Batch    198, Loss  0.974305, Average Loss  1.446181, Time  0.414448
2021-09-22 18:25:06.892698 : Epoch  1, Batch    199, Loss  0.986869, Average Loss  1.443873, Time  0.415790
2021-09-22 18:25:12.023991 : Epoch  1, Batch    200, Loss  0.970411, Average Loss  1.441506, Time  0.415460
2021-09-22 18:29:12.303958 : CheckPoint: Validation Loss  0.00015843, Best Loss  0.00015843
2021-09-22 18:29:12.354562 : Best Model Updated
2021-09-22 18:29:18.186292 : Epoch  1, Batch    201, Loss  0.980003, Average Loss  1.437027, Time  0.440943
2021-09-22 18:29:23.169296 : Epoch  1, Batch    202, Loss  0.994000, Average Loss  1.432623, Time  0.413993
2021-09-22 18:29:28.254813 : Epoch  1, Batch    203, Loss  0.967724, Average Loss  1.428088, Time  0.414488
2021-09-22 18:29:33.249772 : Epoch  1, Batch    204, Loss  0.959365, Average Loss  1.423522, Time  0.413629
2021-09-22 18:29:38.233772 : Epoch  1, Batch    205, Loss  0.966664, Average Loss  1.418986, Time  0.413425
2021-09-22 18:29:43.264849 : Epoch  1, Batch    206, Loss  0.964845, Average Loss  1.414463, Time  0.416844
2021-09-22 18:29:48.331868 : Epoch  1, Batch    207, Loss  0.964014, Average Loss  1.409999, Time  0.415771
2021-09-22 18:29:53.321154 : Epoch  1, Batch    208, Loss  0.963342, Average Loss  1.405563, Time  0.413693
2021-09-22 18:29:58.379899 : Epoch  1, Batch    209, Loss  0.956284, Average Loss  1.401117, Time  0.464819
2021-09-22 18:30:03.461920 : Epoch  1, Batch    210, Loss  0.962178, Average Loss  1.396762, Time  0.419179
2021-09-22 18:30:08.582767 : Epoch  1, Batch    211, Loss  0.947956, Average Loss  1.392333, Time  0.414901
2021-09-22 18:30:13.635273 : Epoch  1, Batch    212, Loss  0.963879, Average Loss  1.388029, Time  0.414588
2021-09-22 18:30:18.723854 : Epoch  1, Batch    213, Loss  0.954302, Average Loss  1.383751, Time  0.414159
2021-09-22 18:30:23.901116 : Epoch  1, Batch    214, Loss  0.941162, Average Loss  1.379454, Time  0.415389
2021-09-22 18:30:28.887764 : Epoch  1, Batch    215, Loss  0.945574, Average Loss  1.375215, Time  0.413800
2021-09-22 18:30:33.908811 : Epoch  1, Batch    216, Loss  0.944787, Average Loss  1.371045, Time  0.413796
2021-09-22 18:30:38.932981 : Epoch  1, Batch    217, Loss  0.945369, Average Loss  1.366893, Time  0.422764
2021-09-22 18:30:44.142107 : Epoch  1, Batch    218, Loss  0.960634, Average Loss  1.362900, Time  0.459152
2021-09-22 18:30:49.173873 : Epoch  1, Batch    219, Loss  0.960937, Average Loss  1.358908, Time  0.433964
2021-09-22 18:30:54.158825 : Epoch  1, Batch    220, Loss  0.963191, Average Loss  1.354996, Time  0.416174
2021-09-22 18:30:59.255721 : Epoch  1, Batch    221, Loss  0.927827, Average Loss  1.350984, Time  0.415594
2021-09-22 18:31:04.329984 : Epoch  1, Batch    222, Loss  0.940562, Average Loss  1.347095, Time  0.414607
2021-09-22 18:31:09.337826 : Epoch  1, Batch    223, Loss  0.933848, Average Loss  1.343198, Time  0.415330
2021-09-22 18:31:14.313477 : Epoch  1, Batch    224, Loss  0.952120, Average Loss  1.339444, Time  0.414354
2021-09-22 18:31:19.394826 : Epoch  1, Batch    225, Loss  0.954098, Average Loss  1.335701, Time  0.417451
2021-09-22 18:31:24.379954 : Epoch  1, Batch    226, Loss  0.936071, Average Loss  1.331875, Time  0.414110
2021-09-22 18:31:29.406003 : Epoch  1, Batch    227, Loss  0.937280, Average Loss  1.328121, Time  0.448883
2021-09-22 18:31:34.453067 : Epoch  1, Batch    228, Loss  0.932116, Average Loss  1.324309, Time  0.415408
2021-09-22 18:31:39.436668 : Epoch  1, Batch    229, Loss  0.936460, Average Loss  1.320577, Time  0.414160
2021-09-22 18:31:44.453927 : Epoch  1, Batch    230, Loss  0.944997, Average Loss  1.316912, Time  0.416861
2021-09-22 18:31:49.522804 : Epoch  1, Batch    231, Loss  0.947562, Average Loss  1.313178, Time  0.413841
2021-09-22 18:31:54.556868 : Epoch  1, Batch    232, Loss  0.933173, Average Loss  1.309404, Time  0.415350
2021-09-22 18:31:59.559907 : Epoch  1, Batch    233, Loss  0.935419, Average Loss  1.305684, Time  0.414056
2021-09-22 18:32:04.565823 : Epoch  1, Batch    234, Loss  0.926230, Average Loss  1.301920, Time  0.420058
2021-09-22 18:32:09.567213 : Epoch  1, Batch    235, Loss  0.943582, Average Loss  1.298330, Time  0.414775
2021-09-22 18:32:15.038807 : Epoch  1, Batch    236, Loss  0.944516, Average Loss  1.294691, Time  0.462682
2021-09-22 18:32:20.029865 : Epoch  1, Batch    237, Loss  0.943981, Average Loss  1.291035, Time  0.414787
2021-09-22 18:32:25.029955 : Epoch  1, Batch    238, Loss  0.942058, Average Loss  1.287372, Time  0.426041
2021-09-22 18:32:30.020838 : Epoch  1, Batch    239, Loss  0.926926, Average Loss  1.283628, Time  0.414131
2021-09-22 18:32:35.001942 : Epoch  1, Batch    240, Loss  0.940073, Average Loss  1.279977, Time  0.414279
2021-09-22 18:32:40.029152 : Epoch  1, Batch    241, Loss  0.911248, Average Loss  1.276209, Time  0.415495
2021-09-22 18:32:45.019203 : Epoch  1, Batch    242, Loss  0.930280, Average Loss  1.272543, Time  0.415030
2021-09-22 18:32:50.001805 : Epoch  1, Batch    243, Loss  0.911894, Average Loss  1.268798, Time  0.416117
2021-09-22 18:32:55.161037 : Epoch  1, Batch    244, Loss  0.942433, Average Loss  1.265140, Time  0.414191
2021-09-22 18:33:00.334096 : Epoch  1, Batch    245, Loss  0.929918, Average Loss  1.261405, Time  0.466109
2021-09-22 18:33:05.338036 : Epoch  1, Batch    246, Loss  0.929316, Average Loss  1.257731, Time  0.420828
2021-09-22 18:33:10.372846 : Epoch  1, Batch    247, Loss  0.926627, Average Loss  1.254017, Time  0.414832
2021-09-22 18:33:15.392116 : Epoch  1, Batch    248, Loss  0.908859, Average Loss  1.250254, Time  0.417056
2021-09-22 18:33:20.537826 : Epoch  1, Batch    249, Loss  0.914581, Average Loss  1.246499, Time  0.414052
2021-09-22 18:33:25.536456 : Epoch  1, Batch    250, Loss  0.911871, Average Loss  1.242744, Time  0.414269
2021-09-22 18:33:30.625287 : Epoch  1, Batch    251, Loss  0.916513, Average Loss  1.239027, Time  0.413763
2021-09-22 18:33:35.653880 : Epoch  1, Batch    252, Loss  0.937238, Average Loss  1.235409, Time  0.413750
2021-09-22 18:33:40.805810 : Epoch  1, Batch    253, Loss  0.920438, Average Loss  1.231776, Time  0.426131
2021-09-22 18:33:45.876775 : Epoch  1, Batch    254, Loss  0.923385, Average Loss  1.228082, Time  0.463602
2021-09-22 18:33:50.858924 : Epoch  1, Batch    255, Loss  0.928492, Average Loss  1.224392, Time  0.415933
2021-09-22 18:33:55.842863 : Epoch  1, Batch    256, Loss  0.928259, Average Loss  1.220716, Time  0.413812
2021-09-22 18:34:00.894782 : Epoch  1, Batch    257, Loss  0.922239, Average Loss  1.217053, Time  0.416993
2021-09-22 18:34:05.883742 : Epoch  1, Batch    258, Loss  0.921664, Average Loss  1.213345, Time  0.414656
2021-09-22 18:34:10.866775 : Epoch  1, Batch    259, Loss  0.928311, Average Loss  1.209658, Time  0.415438
2021-09-22 18:34:15.845862 : Epoch  1, Batch    260, Loss  0.922158, Average Loss  1.205982, Time  0.415602
2021-09-22 18:34:20.825756 : Epoch  1, Batch    261, Loss  0.920438, Average Loss  1.202290, Time  0.414005
2021-09-22 18:34:25.837845 : Epoch  1, Batch    262, Loss  0.926108, Average Loss  1.198644, Time  0.423266
2021-09-22 18:34:31.025825 : Epoch  1, Batch    263, Loss  0.906721, Average Loss  1.194884, Time  0.455368
2021-09-22 18:34:36.057040 : Epoch  1, Batch    264, Loss  0.924058, Average Loss  1.191220, Time  0.415821
2021-09-22 18:34:41.022228 : Epoch  1, Batch    265, Loss  0.917785, Average Loss  1.187518, Time  0.414873
2021-09-22 18:34:46.014772 : Epoch  1, Batch    266, Loss  0.914227, Average Loss  1.183799, Time  0.414414
2021-09-22 18:34:50.983128 : Epoch  1, Batch    267, Loss  0.914929, Average Loss  1.180100, Time  0.413876
2021-09-22 18:34:55.986642 : Epoch  1, Batch    268, Loss  0.918553, Average Loss  1.176394, Time  0.415053
2021-09-22 18:35:01.000834 : Epoch  1, Batch    269, Loss  0.919988, Average Loss  1.172708, Time  0.415028
2021-09-22 18:35:05.971800 : Epoch  1, Batch    270, Loss  0.923023, Average Loss  1.169033, Time  0.414279
2021-09-22 18:35:10.965194 : Epoch  1, Batch    271, Loss  0.901666, Average Loss  1.165302, Time  0.416286
2021-09-22 18:35:16.211056 : Epoch  1, Batch    272, Loss  0.922778, Average Loss  1.161618, Time  0.454241
2021-09-22 18:35:21.168695 : Epoch  1, Batch    273, Loss  0.903070, Average Loss  1.157884, Time  0.417897
2021-09-22 18:35:26.208220 : Epoch  1, Batch    274, Loss  0.927116, Average Loss  1.154270, Time  0.415308
2021-09-22 18:35:31.194846 : Epoch  1, Batch    275, Loss  0.921874, Average Loss  1.150656, Time  0.414144
2021-09-22 18:35:36.466796 : Epoch  1, Batch    276, Loss  0.925452, Average Loss  1.147020, Time  0.414252
2021-09-22 18:35:41.617621 : Epoch  1, Batch    277, Loss  0.924213, Average Loss  1.143414, Time  0.427245
2021-09-22 18:35:46.741603 : Epoch  1, Batch    278, Loss  0.910782, Average Loss  1.139731, Time  0.419925
2021-09-22 18:35:51.710792 : Epoch  1, Batch    279, Loss  0.926465, Average Loss  1.136143, Time  0.414468
2021-09-22 18:35:56.703621 : Epoch  1, Batch    280, Loss  0.901898, Average Loss  1.132444, Time  0.414161
2021-09-22 18:36:01.801671 : Epoch  1, Batch    281, Loss  0.917845, Average Loss  1.128844, Time  0.466122
2021-09-22 18:36:06.802116 : Epoch  1, Batch    282, Loss  0.909076, Average Loss  1.125183, Time  0.428537
2021-09-22 18:36:11.893793 : Epoch  1, Batch    283, Loss  0.904468, Average Loss  1.121511, Time  0.440600
2021-09-22 18:36:17.014034 : Epoch  1, Batch    284, Loss  0.924652, Average Loss  1.117940, Time  0.415426
2021-09-22 18:36:22.014843 : Epoch  1, Batch    285, Loss  0.895965, Average Loss  1.114259, Time  0.414446
2021-09-22 18:36:26.990344 : Epoch  1, Batch    286, Loss  0.908836, Average Loss  1.110647, Time  0.414627
2021-09-22 18:36:32.080845 : Epoch  1, Batch    287, Loss  0.907219, Average Loss  1.107019, Time  0.443390
2021-09-22 18:36:37.108757 : Epoch  1, Batch    288, Loss  0.914130, Average Loss  1.103461, Time  0.414513
2021-09-22 18:36:42.115092 : Epoch  1, Batch    289, Loss  0.909382, Average Loss  1.099860, Time  0.414247
2021-09-22 18:36:47.208251 : Epoch  1, Batch    290, Loss  0.905774, Average Loss  1.096217, Time  0.462201
2021-09-22 18:36:52.241505 : Epoch  1, Batch    291, Loss  0.909044, Average Loss  1.092691, Time  0.414082
2021-09-22 18:36:57.321022 : Epoch  1, Batch    292, Loss  0.928217, Average Loss  1.089300, Time  0.413984
2021-09-22 18:37:02.345765 : Epoch  1, Batch    293, Loss  0.912872, Average Loss  1.085858, Time  0.414159
2021-09-22 18:37:07.314322 : Epoch  1, Batch    294, Loss  0.900927, Average Loss  1.082336, Time  0.414861
2021-09-22 18:37:12.344952 : Epoch  1, Batch    295, Loss  0.910110, Average Loss  1.078935, Time  0.414798
2021-09-22 18:37:17.384157 : Epoch  1, Batch    296, Loss  0.910466, Average Loss  1.075584, Time  0.415215
2021-09-22 18:37:22.376771 : Epoch  1, Batch    297, Loss  0.904263, Average Loss  1.072250, Time  0.417154
2021-09-22 18:37:27.347006 : Epoch  1, Batch    298, Loss  0.905438, Average Loss  1.068993, Time  0.414577
2021-09-22 18:37:32.390936 : Epoch  1, Batch    299, Loss  0.909487, Average Loss  1.065794, Time  0.442306
2021-09-22 18:37:37.510631 : Epoch  1, Batch    300, Loss  0.915809, Average Loss  1.062655, Time  0.414161
2021-09-22 18:41:35.554616 : CheckPoint: Validation Loss  0.00015785, Best Loss  0.00015785
2021-09-22 18:41:36.787607 : Best Model Updated
2021-09-22 18:41:50.491929 : Epoch  1, Batch    301, Loss  0.905883, Average Loss  1.059578, Time  0.414572
2021-09-22 18:41:55.468820 : Epoch  1, Batch    302, Loss  0.908956, Average Loss  1.056587, Time  0.413294
2021-09-22 18:42:00.435817 : Epoch  1, Batch    303, Loss  0.920134, Average Loss  1.053700, Time  0.413442
2021-09-22 18:42:05.401743 : Epoch  1, Batch    304, Loss  0.918309, Average Loss  1.050908, Time  0.413131
2021-09-22 18:42:10.386839 : Epoch  1, Batch    305, Loss  0.899483, Average Loss  1.048054, Time  0.413603
2021-09-22 18:42:15.402894 : Epoch  1, Batch    306, Loss  0.897864, Average Loss  1.045225, Time  0.457748
2021-09-22 18:42:20.376743 : Epoch  1, Batch    307, Loss  0.908799, Average Loss  1.042598, Time  0.414487
2021-09-22 18:42:25.342830 : Epoch  1, Batch    308, Loss  0.909447, Average Loss  1.039965, Time  0.414253
2021-09-22 18:42:30.334739 : Epoch  1, Batch    309, Loss  0.924077, Average Loss  1.037383, Time  0.413769
2021-09-22 18:42:35.310728 : Epoch  1, Batch    310, Loss  0.911752, Average Loss  1.034826, Time  0.414554
2021-09-22 18:42:40.305729 : Epoch  1, Batch    311, Loss  0.904538, Average Loss  1.032276, Time  0.413778
2021-09-22 18:42:45.276761 : Epoch  1, Batch    312, Loss  0.927295, Average Loss  1.029916, Time  0.413294
2021-09-22 18:42:50.327756 : Epoch  1, Batch    313, Loss  0.901549, Average Loss  1.027412, Time  0.413370
2021-09-22 18:42:55.295780 : Epoch  1, Batch    314, Loss  0.900753, Average Loss  1.024932, Time  0.414428
2021-09-22 18:43:00.279740 : Epoch  1, Batch    315, Loss  0.903941, Average Loss  1.022520, Time  0.432577
2021-09-22 18:43:05.228549 : Epoch  1, Batch    316, Loss  0.914128, Average Loss  1.020132, Time  0.413470
2021-09-22 18:43:10.204110 : Epoch  1, Batch    317, Loss  0.904988, Average Loss  1.017710, Time  0.413657
2021-09-22 18:43:15.198836 : Epoch  1, Batch    318, Loss  0.913663, Average Loss  1.015301, Time  0.413602
2021-09-22 18:43:20.161444 : Epoch  1, Batch    319, Loss  0.893533, Average Loss  1.012829, Time  0.413575
2021-09-22 18:43:25.137748 : Epoch  1, Batch    320, Loss  0.912771, Average Loss  1.010492, Time  0.414825
2021-09-22 18:43:30.106806 : Epoch  1, Batch    321, Loss  0.900924, Average Loss  1.008111, Time  0.414526
2021-09-22 18:43:35.073787 : Epoch  1, Batch    322, Loss  0.915886, Average Loss  1.005765, Time  0.413695
2021-09-22 18:43:40.046790 : Epoch  1, Batch    323, Loss  0.906107, Average Loss  1.003456, Time  0.414187
2021-09-22 18:43:45.056839 : Epoch  1, Batch    324, Loss  0.909290, Average Loss  1.001221, Time  0.464425
2021-09-22 18:43:50.061776 : Epoch  1, Batch    325, Loss  0.898961, Average Loss  0.999023, Time  0.419955
2021-09-22 18:43:55.022489 : Epoch  1, Batch    326, Loss  0.900880, Average Loss  0.996799, Time  0.413908
2021-09-22 18:44:00.030792 : Epoch  1, Batch    327, Loss  0.905660, Average Loss  0.994623, Time  0.414692
2021-09-22 18:44:05.008807 : Epoch  1, Batch    328, Loss  0.896693, Average Loss  0.992439, Time  0.414169
2021-09-22 18:44:10.032926 : Epoch  1, Batch    329, Loss  0.890058, Average Loss  0.990299, Time  0.413457
2021-09-22 18:44:15.015727 : Epoch  1, Batch    330, Loss  0.916892, Average Loss  0.988318, Time  0.413688
2021-09-22 18:44:19.987198 : Epoch  1, Batch    331, Loss  0.915402, Average Loss  0.986341, Time  0.413432
2021-09-22 18:44:24.987945 : Epoch  1, Batch    332, Loss  0.908174, Average Loss  0.984362, Time  0.414978
2021-09-22 18:44:30.025847 : Epoch  1, Batch    333, Loss  0.901405, Average Loss  0.982402, Time  0.470520
2021-09-22 18:44:34.996943 : Epoch  1, Batch    334, Loss  0.894616, Average Loss  0.980451, Time  0.414801
2021-09-22 18:44:39.975762 : Epoch  1, Batch    335, Loss  0.914173, Average Loss  0.978668, Time  0.413557
2021-09-22 18:44:44.929772 : Epoch  1, Batch    336, Loss  0.900982, Average Loss  0.976743, Time  0.414001
2021-09-22 18:44:49.900723 : Epoch  1, Batch    337, Loss  0.898805, Average Loss  0.974863, Time  0.413517
2021-09-22 18:44:54.884871 : Epoch  1, Batch    338, Loss  0.901778, Average Loss  0.973056, Time  0.413821
2021-09-22 18:44:59.921101 : Epoch  1, Batch    339, Loss  0.906599, Average Loss  0.971387, Time  0.414547
2021-09-22 18:45:04.986956 : Epoch  1, Batch    340, Loss  0.904875, Average Loss  0.969756, Time  0.415001
2021-09-22 18:45:09.957762 : Epoch  1, Batch    341, Loss  0.923790, Average Loss  0.968213, Time  0.413647
2021-09-22 18:45:14.931852 : Epoch  1, Batch    342, Loss  0.898651, Average Loss  0.966592, Time  0.413657
2021-09-22 18:45:19.954725 : Epoch  1, Batch    343, Loss  0.900106, Average Loss  0.965000, Time  0.453038
2021-09-22 18:45:24.920774 : Epoch  1, Batch    344, Loss  0.895814, Average Loss  0.963395, Time  0.415201
2021-09-22 18:45:29.893115 : Epoch  1, Batch    345, Loss  0.883984, Average Loss  0.961736, Time  0.414674
2021-09-22 18:45:34.925601 : Epoch  1, Batch    346, Loss  0.914820, Average Loss  0.960345, Time  0.414006
2021-09-22 18:45:39.896539 : Epoch  1, Batch    347, Loss  0.894572, Average Loss  0.958909, Time  0.413862
2021-09-22 18:45:44.850791 : Epoch  1, Batch    348, Loss  0.901883, Average Loss  0.957512, Time  0.413662
2021-09-22 18:45:49.808663 : Epoch  1, Batch    349, Loss  0.918060, Average Loss  0.956251, Time  0.413956
2021-09-22 18:45:54.783862 : Epoch  1, Batch    350, Loss  0.898534, Average Loss  0.954908, Time  0.413382
2021-09-22 18:45:59.768764 : Epoch  1, Batch    351, Loss  0.904890, Average Loss  0.953565, Time  0.413450
2021-09-22 18:46:04.879918 : Epoch  1, Batch    352, Loss  0.904045, Average Loss  0.952388, Time  0.466303
2021-09-22 18:46:09.874820 : Epoch  1, Batch    353, Loss  0.911242, Average Loss  0.951230, Time  0.413158
2021-09-22 18:46:14.842809 : Epoch  1, Batch    354, Loss  0.911443, Average Loss  0.950088, Time  0.413432
2021-09-22 18:46:19.820722 : Epoch  1, Batch    355, Loss  0.893046, Average Loss  0.948913, Time  0.414202
2021-09-22 18:46:24.774800 : Epoch  1, Batch    356, Loss  0.908604, Average Loss  0.947859, Time  0.413523
2021-09-22 18:46:29.743734 : Epoch  1, Batch    357, Loss  0.887744, Average Loss  0.946580, Time  0.414256
2021-09-22 18:46:34.715289 : Epoch  1, Batch    358, Loss  0.912074, Average Loss  0.945524, Time  0.414756
2021-09-22 18:46:39.697001 : Epoch  1, Batch    359, Loss  0.881417, Average Loss  0.944371, Time  0.414018
2021-09-22 18:46:44.670746 : Epoch  1, Batch    360, Loss  0.913122, Average Loss  0.943410, Time  0.414237
2021-09-22 18:46:49.689841 : Epoch  1, Batch    361, Loss  0.898248, Average Loss  0.942379, Time  0.453553
2021-09-22 18:46:54.646570 : Epoch  1, Batch    362, Loss  0.912216, Average Loss  0.941444, Time  0.413224
2021-09-22 18:46:59.620810 : Epoch  1, Batch    363, Loss  0.910822, Average Loss  0.940518, Time  0.413661
2021-09-22 18:47:04.570740 : Epoch  1, Batch    364, Loss  0.884866, Average Loss  0.939549, Time  0.413491
2021-09-22 18:47:09.508931 : Epoch  1, Batch    365, Loss  0.898298, Average Loss  0.938718, Time  0.413682
2021-09-22 18:47:14.486819 : Epoch  1, Batch    366, Loss  0.908446, Average Loss  0.937779, Time  0.413923
2021-09-22 18:47:19.429216 : Epoch  1, Batch    367, Loss  0.897339, Average Loss  0.936814, Time  0.413835
2021-09-22 18:47:24.374562 : Epoch  1, Batch    368, Loss  0.901983, Average Loss  0.936060, Time  0.413677
2021-09-22 18:47:29.355802 : Epoch  1, Batch    369, Loss  0.903221, Average Loss  0.935263, Time  0.413352
2021-09-22 18:47:34.454934 : Epoch  1, Batch    370, Loss  0.896684, Average Loss  0.934484, Time  0.461915
2021-09-22 18:47:39.423761 : Epoch  1, Batch    371, Loss  0.910951, Average Loss  0.933781, Time  0.416224
2021-09-22 18:47:44.404024 : Epoch  1, Batch    372, Loss  0.899328, Average Loss  0.933006, Time  0.414968
2021-09-22 18:47:49.356911 : Epoch  1, Batch    373, Loss  0.887417, Average Loss  0.932188, Time  0.414878
2021-09-22 18:47:54.362767 : Epoch  1, Batch    374, Loss  0.891751, Average Loss  0.931357, Time  0.414788
2021-09-22 18:47:59.362945 : Epoch  1, Batch    375, Loss  0.896422, Average Loss  0.930579, Time  0.415238
2021-09-22 18:48:04.336867 : Epoch  1, Batch    376, Loss  0.902321, Average Loss  0.929764, Time  0.413640
2021-09-22 18:48:09.327882 : Epoch  1, Batch    377, Loss  0.891147, Average Loss  0.929051, Time  0.413785
2021-09-22 18:48:14.283068 : Epoch  1, Batch    378, Loss  0.896978, Average Loss  0.928364, Time  0.413834
2021-09-22 18:48:19.294761 : Epoch  1, Batch    379, Loss  0.902750, Average Loss  0.927702, Time  0.457998
2021-09-22 18:48:24.257764 : Epoch  1, Batch    380, Loss  0.898551, Average Loss  0.926989, Time  0.413898
2021-09-22 18:48:29.240947 : Epoch  1, Batch    381, Loss  0.892441, Average Loss  0.926313, Time  0.413348
2021-09-22 18:48:34.249729 : Epoch  1, Batch    382, Loss  0.887697, Average Loss  0.925706, Time  0.413809
2021-09-22 18:48:39.265904 : Epoch  1, Batch    383, Loss  0.909769, Average Loss  0.925043, Time  0.414546
2021-09-22 18:48:44.251847 : Epoch  1, Batch    384, Loss  0.892284, Average Loss  0.924462, Time  0.413682
2021-09-22 18:48:49.212937 : Epoch  1, Batch    385, Loss  0.894339, Average Loss  0.923795, Time  0.414040
2021-09-22 18:48:54.156075 : Epoch  1, Batch    386, Loss  0.907999, Average Loss  0.923261, Time  0.413662
2021-09-22 18:48:59.125806 : Epoch  1, Batch    387, Loss  0.886620, Average Loss  0.922649, Time  0.413376
2021-09-22 18:49:04.201796 : Epoch  1, Batch    388, Loss  0.898688, Average Loss  0.922067, Time  0.453139
2021-09-22 18:49:09.160932 : Epoch  1, Batch    389, Loss  0.900740, Average Loss  0.921540, Time  0.413493
2021-09-22 18:49:14.124855 : Epoch  1, Batch    390, Loss  0.893577, Average Loss  0.921004, Time  0.413290
2021-09-22 18:49:19.067083 : Epoch  1, Batch    391, Loss  0.879367, Average Loss  0.920336, Time  0.413537
2021-09-22 18:49:24.032768 : Epoch  1, Batch    392, Loss  0.902426, Average Loss  0.919789, Time  0.413135
2021-09-22 18:49:28.977720 : Epoch  1, Batch    393, Loss  0.886944, Average Loss  0.919185, Time  0.413514
2021-09-22 18:49:33.942751 : Epoch  1, Batch    394, Loss  0.921783, Average Loss  0.918805, Time  0.414741
2021-09-22 18:49:38.903851 : Epoch  1, Batch    395, Loss  0.869817, Average Loss  0.918183, Time  0.413356
2021-09-22 18:49:43.853891 : Epoch  1, Batch    396, Loss  0.908721, Average Loss  0.917841, Time  0.414711
2021-09-22 18:49:48.807764 : Epoch  1, Batch    397, Loss  0.910877, Average Loss  0.917496, Time  0.413724
2021-09-22 18:49:53.815748 : Epoch  1, Batch    398, Loss  0.891165, Average Loss  0.917080, Time  0.464724
2021-09-22 18:49:58.815727 : Epoch  1, Batch    399, Loss  0.912782, Average Loss  0.916710, Time  0.419355
2021-09-22 18:50:03.784800 : Epoch  1, Batch    400, Loss  0.912535, Average Loss  0.916421, Time  0.413684
2021-09-22 18:54:00.317771 : CheckPoint: Validation Loss  0.00015560, Best Loss  0.00015560
2021-09-22 18:54:00.359570 : Best Model Updated
2021-09-22 18:54:06.180876 : Epoch  1, Batch    401, Loss  0.898974, Average Loss  0.916015, Time  0.415060
2021-09-22 18:54:11.157739 : Epoch  1, Batch    402, Loss  0.892249, Average Loss  0.915507, Time  0.413387
2021-09-22 18:54:16.119751 : Epoch  1, Batch    403, Loss  0.891372, Average Loss  0.915125, Time  0.413127
2021-09-22 18:54:21.117982 : Epoch  1, Batch    404, Loss  0.895840, Average Loss  0.914807, Time  0.413765
2021-09-22 18:54:26.090999 : Epoch  1, Batch    405, Loss  0.922000, Average Loss  0.914584, Time  0.413481
2021-09-22 18:54:31.074902 : Epoch  1, Batch    406, Loss  0.907765, Average Loss  0.914299, Time  0.414614
2021-09-22 18:54:36.080827 : Epoch  1, Batch    407, Loss  0.901057, Average Loss  0.913984, Time  0.449370
2021-09-22 18:54:41.052873 : Epoch  1, Batch    408, Loss  0.882792, Average Loss  0.913581, Time  0.413837
2021-09-22 18:54:46.003778 : Epoch  1, Batch    409, Loss  0.887175, Average Loss  0.913236, Time  0.413947
2021-09-22 18:54:50.970960 : Epoch  1, Batch    410, Loss  0.906453, Average Loss  0.912957, Time  0.413964
2021-09-22 18:54:55.980736 : Epoch  1, Batch    411, Loss  0.904370, Average Loss  0.912739, Time  0.413493
2021-09-22 18:55:01.004788 : Epoch  1, Batch    412, Loss  0.909292, Average Loss  0.912466, Time  0.413662
2021-09-22 18:55:05.985799 : Epoch  1, Batch    413, Loss  0.892649, Average Loss  0.912158, Time  0.413200
2021-09-22 18:55:10.945759 : Epoch  1, Batch    414, Loss  0.889491, Average Loss  0.911899, Time  0.413295
2021-09-22 18:55:15.909795 : Epoch  1, Batch    415, Loss  0.899407, Average Loss  0.911669, Time  0.413291
2021-09-22 18:55:20.917762 : Epoch  1, Batch    416, Loss  0.896316, Average Loss  0.911426, Time  0.413138
2021-09-22 18:55:25.918802 : Epoch  1, Batch    417, Loss  0.903607, Average Loss  0.911217, Time  0.454322
2021-09-22 18:55:30.917033 : Epoch  1, Batch    418, Loss  0.900101, Average Loss  0.910915, Time  0.413459
2021-09-22 18:55:35.884756 : Epoch  1, Batch    419, Loss  0.914535, Average Loss  0.910683, Time  0.413618
2021-09-22 18:55:40.865991 : Epoch  1, Batch    420, Loss  0.889737, Average Loss  0.910315, Time  0.414461
2021-09-22 18:55:45.840936 : Epoch  1, Batch    421, Loss  0.897628, Average Loss  0.910164, Time  0.423478
2021-09-22 18:55:50.835909 : Epoch  1, Batch    422, Loss  0.892837, Average Loss  0.909926, Time  0.413992
2021-09-22 18:55:55.820854 : Epoch  1, Batch    423, Loss  0.883648, Average Loss  0.909675, Time  0.415079
2021-09-22 18:56:00.779735 : Epoch  1, Batch    424, Loss  0.891188, Average Loss  0.909370, Time  0.413175
2021-09-22 18:56:05.752897 : Epoch  1, Batch    425, Loss  0.877723, Average Loss  0.908988, Time  0.413518
2021-09-22 18:56:10.771998 : Epoch  1, Batch    426, Loss  0.901632, Average Loss  0.908816, Time  0.457332
2021-09-22 18:56:15.751751 : Epoch  1, Batch    427, Loss  0.896592, Average Loss  0.908613, Time  0.413211
2021-09-22 18:56:20.716746 : Epoch  1, Batch    428, Loss  0.897936, Average Loss  0.908442, Time  0.413547
2021-09-22 18:56:25.690100 : Epoch  1, Batch    429, Loss  0.887227, Average Loss  0.908196, Time  0.413261
2021-09-22 18:56:30.681741 : Epoch  1, Batch    430, Loss  0.887538, Average Loss  0.907908, Time  0.413311
2021-09-22 18:56:35.639761 : Epoch  1, Batch    431, Loss  0.907403, Average Loss  0.907708, Time  0.413535
2021-09-22 18:56:40.687935 : Epoch  1, Batch    432, Loss  0.885590, Average Loss  0.907470, Time  0.414545
2021-09-22 18:56:45.668807 : Epoch  1, Batch    433, Loss  0.888021, Average Loss  0.907233, Time  0.414220
2021-09-22 18:56:50.637887 : Epoch  1, Batch    434, Loss  0.891430, Average Loss  0.907059, Time  0.413803
2021-09-22 18:56:55.654994 : Epoch  1, Batch    435, Loss  0.897626, Average Loss  0.906829, Time  0.456069
2021-09-22 18:57:00.625837 : Epoch  1, Batch    436, Loss  0.889112, Average Loss  0.906552, Time  0.413270
2021-09-22 18:57:05.634872 : Epoch  1, Batch    437, Loss  0.884369, Average Loss  0.906254, Time  0.413905
2021-09-22 18:57:10.625759 : Epoch  1, Batch    438, Loss  0.892259, Average Loss  0.906005, Time  0.413339
2021-09-22 18:57:15.581720 : Epoch  1, Batch    439, Loss  0.894915, Average Loss  0.905845, Time  0.413307
2021-09-22 18:57:20.549737 : Epoch  1, Batch    440, Loss  0.898115, Average Loss  0.905635, Time  0.414100
2021-09-22 18:57:25.525737 : Epoch  1, Batch    441, Loss  0.901034, Average Loss  0.905584, Time  0.413742
2021-09-22 18:57:30.517841 : Epoch  1, Batch    442, Loss  0.883618, Average Loss  0.905351, Time  0.413399
2021-09-22 18:57:35.473724 : Epoch  1, Batch    443, Loss  0.878009, Average Loss  0.905181, Time  0.413401
2021-09-22 18:57:40.483121 : Epoch  1, Batch    444, Loss  0.885956, Average Loss  0.904899, Time  0.462750
2021-09-22 18:57:45.463774 : Epoch  1, Batch    445, Loss  0.900675, Average Loss  0.904753, Time  0.413753
2021-09-22 18:57:50.443825 : Epoch  1, Batch    446, Loss  0.887285, Average Loss  0.904542, Time  0.414405
2021-09-22 18:57:55.417934 : Epoch  1, Batch    447, Loss  0.892135, Average Loss  0.904370, Time  0.413305
2021-09-22 18:58:00.401937 : Epoch  1, Batch    448, Loss  0.898169, Average Loss  0.904316, Time  0.414451
2021-09-22 18:58:05.357015 : Epoch  1, Batch    449, Loss  0.887486, Average Loss  0.904181, Time  0.413915
2021-09-22 18:58:10.344995 : Epoch  1, Batch    450, Loss  0.900462, Average Loss  0.904124, Time  0.415069
2021-09-22 18:58:15.302890 : Epoch  1, Batch    451, Loss  0.892186, Average Loss  0.904002, Time  0.413516
2021-09-22 18:58:20.248813 : Epoch  1, Batch    452, Loss  0.888931, Average Loss  0.903761, Time  0.413214
2021-09-22 18:58:25.277728 : Epoch  1, Batch    453, Loss  0.876102, Average Loss  0.903539, Time  0.466472
2021-09-22 18:58:30.260887 : Epoch  1, Batch    454, Loss  0.897438, Average Loss  0.903409, Time  0.420135
2021-09-22 18:58:35.238758 : Epoch  1, Batch    455, Loss  0.890591, Average Loss  0.903220, Time  0.413700
2021-09-22 18:58:40.182779 : Epoch  1, Batch    456, Loss  0.897512, Average Loss  0.903066, Time  0.414332
2021-09-22 18:58:45.144804 : Epoch  1, Batch    457, Loss  0.904873, Average Loss  0.902979, Time  0.414574
2021-09-22 18:58:50.103859 : Epoch  1, Batch    458, Loss  0.896866, Average Loss  0.902855, Time  0.413963
2021-09-22 18:58:55.053988 : Epoch  1, Batch    459, Loss  0.903414, Average Loss  0.902731, Time  0.414406
2021-09-22 18:59:00.084952 : Epoch  1, Batch    460, Loss  0.895498, Average Loss  0.902598, Time  0.414418
2021-09-22 18:59:05.111870 : Epoch  1, Batch    461, Loss  0.883961, Average Loss  0.902415, Time  0.414203
2021-09-22 18:59:10.090792 : Epoch  1, Batch    462, Loss  0.884699, Average Loss  0.902208, Time  0.435380
2021-09-22 18:59:15.055847 : Epoch  1, Batch    463, Loss  0.908985, Average Loss  0.902219, Time  0.413567
2021-09-22 18:59:20.049915 : Epoch  1, Batch    464, Loss  0.880776, Average Loss  0.902003, Time  0.413577
2021-09-22 18:59:25.019743 : Epoch  1, Batch    465, Loss  0.879636, Average Loss  0.901812, Time  0.413797
2021-09-22 18:59:29.988780 : Epoch  1, Batch    466, Loss  0.912048, Average Loss  0.901801, Time  0.413426
2021-09-22 18:59:34.962028 : Epoch  1, Batch    467, Loss  0.900469, Average Loss  0.901729, Time  0.413689
2021-09-22 18:59:39.916855 : Epoch  1, Batch    468, Loss  0.878918, Average Loss  0.901531, Time  0.413621
2021-09-22 18:59:44.885862 : Epoch  1, Batch    469, Loss  0.905830, Average Loss  0.901460, Time  0.413232
2021-09-22 18:59:49.893990 : Epoch  1, Batch    470, Loss  0.901740, Average Loss  0.901354, Time  0.416144
2021-09-22 18:59:54.866769 : Epoch  1, Batch    471, Loss  0.890413, Average Loss  0.901297, Time  0.413953
2021-09-22 18:59:59.885737 : Epoch  1, Batch    472, Loss  0.903273, Average Loss  0.901200, Time  0.459882
2021-09-22 19:00:04.866743 : Epoch  1, Batch    473, Loss  0.879732, Average Loss  0.901083, Time  0.415238
2021-09-22 19:00:09.830848 : Epoch  1, Batch    474, Loss  0.902624, Average Loss  0.900961, Time  0.413401
2021-09-22 19:00:14.802733 : Epoch  1, Batch    475, Loss  0.900471, Average Loss  0.900854, Time  0.413437
2021-09-22 19:00:19.771292 : Epoch  1, Batch    476, Loss  0.883440, Average Loss  0.900644, Time  0.414469
2021-09-22 19:00:24.785802 : Epoch  1, Batch    477, Loss  0.883786, Average Loss  0.900442, Time  0.418116
2021-09-22 19:00:29.755696 : Epoch  1, Batch    478, Loss  0.896450, Average Loss  0.900370, Time  0.414239
2021-09-22 19:00:34.769768 : Epoch  1, Batch    479, Loss  0.883735, Average Loss  0.900156, Time  0.413367
2021-09-22 19:00:39.731777 : Epoch  1, Batch    480, Loss  0.889766, Average Loss  0.900096, Time  0.413210
2021-09-22 19:00:44.739786 : Epoch  1, Batch    481, Loss  0.891364, Average Loss  0.899963, Time  0.460333
2021-09-22 19:00:49.703782 : Epoch  1, Batch    482, Loss  0.879847, Average Loss  0.899817, Time  0.414083
2021-09-22 19:00:54.724743 : Epoch  1, Batch    483, Loss  0.873023, Average Loss  0.899660, Time  0.413067
2021-09-22 19:00:59.771764 : Epoch  1, Batch    484, Loss  0.894844, Average Loss  0.899511, Time  0.416353
2021-09-22 19:01:04.757992 : Epoch  1, Batch    485, Loss  0.886286, Average Loss  0.899462, Time  0.413909
2021-09-22 19:01:09.735018 : Epoch  1, Batch    486, Loss  0.873493, Average Loss  0.899286, Time  0.414298
2021-09-22 19:01:14.700932 : Epoch  1, Batch    487, Loss  0.891953, Average Loss  0.899209, Time  0.413853
2021-09-22 19:01:19.691872 : Epoch  1, Batch    488, Loss  0.882394, Average Loss  0.899051, Time  0.424360
2021-09-22 19:01:24.681869 : Epoch  1, Batch    489, Loss  0.895007, Average Loss  0.898979, Time  0.413212
2021-09-22 19:01:29.674980 : Epoch  1, Batch    490, Loss  0.896813, Average Loss  0.898934, Time  0.449957
2021-09-22 19:01:34.637747 : Epoch  1, Batch    491, Loss  0.902430, Average Loss  0.898901, Time  0.413235
2021-09-22 19:01:39.597771 : Epoch  1, Batch    492, Loss  0.886439, Average Loss  0.898692, Time  0.413538
2021-09-22 19:01:44.621778 : Epoch  1, Batch    493, Loss  0.884427, Average Loss  0.898550, Time  0.413359
2021-09-22 19:01:49.623786 : Epoch  1, Batch    494, Loss  0.891957, Average Loss  0.898505, Time  0.413424
2021-09-22 19:01:54.672748 : Epoch  1, Batch    495, Loss  0.881723, Average Loss  0.898363, Time  0.413257
2021-09-22 19:01:59.638767 : Epoch  1, Batch    496, Loss  0.894177, Average Loss  0.898282, Time  0.414689
2021-09-22 19:02:04.616756 : Epoch  1, Batch    497, Loss  0.897022, Average Loss  0.898245, Time  0.413407
2021-09-22 19:02:09.588902 : Epoch  1, Batch    498, Loss  0.880353, Average Loss  0.898120, Time  0.415391
2021-09-22 19:02:14.602057 : Epoch  1, Batch    499, Loss  0.888373, Average Loss  0.898014, Time  0.461382
2021-09-22 19:02:19.680428 : Epoch  1, Batch    500, Loss  0.886282, Average Loss  0.897867, Time  0.416265
2021-09-22 19:06:17.335719 : CheckPoint: Validation Loss  0.00015545, Best Loss  0.00015545
2021-09-22 19:06:17.382552 : Best Model Updated
2021-09-22 19:06:23.190826 : Epoch  1, Batch    501, Loss  0.885218, Average Loss  0.897763, Time  0.414489
2021-09-22 19:06:28.179036 : Epoch  1, Batch    502, Loss  0.892145, Average Loss  0.897679, Time  0.413031
2021-09-22 19:06:33.173762 : Epoch  1, Batch    503, Loss  0.878053, Average Loss  0.897469, Time  0.413316
2021-09-22 19:06:38.149062 : Epoch  1, Batch    504, Loss  0.908454, Average Loss  0.897420, Time  0.413224
2021-09-22 19:06:43.130917 : Epoch  1, Batch    505, Loss  0.879029, Average Loss  0.897317, Time  0.412786
2021-09-22 19:06:48.101192 : Epoch  1, Batch    506, Loss  0.886722, Average Loss  0.897262, Time  0.414309
2021-09-22 19:06:53.074933 : Epoch  1, Batch    507, Loss  0.881918, Average Loss  0.897127, Time  0.413132
2021-09-22 19:06:58.102203 : Epoch  1, Batch    508, Loss  0.900823, Average Loss  0.897084, Time  0.465941
2021-09-22 19:07:03.076994 : Epoch  1, Batch    509, Loss  0.895473, Average Loss  0.896941, Time  0.419865
2021-09-22 19:07:08.041113 : Epoch  1, Batch    510, Loss  0.881184, Average Loss  0.896788, Time  0.413744
2021-09-22 19:07:13.004871 : Epoch  1, Batch    511, Loss  0.872832, Average Loss  0.896630, Time  0.414095
2021-09-22 19:07:17.970026 : Epoch  1, Batch    512, Loss  0.859452, Average Loss  0.896291, Time  0.412987
2021-09-22 19:07:22.945960 : Epoch  1, Batch    513, Loss  0.879464, Average Loss  0.896180, Time  0.412825
2021-09-22 19:07:27.902837 : Epoch  1, Batch    514, Loss  0.884221, Average Loss  0.896097, Time  0.413458
2021-09-22 19:07:32.880721 : Epoch  1, Batch    515, Loss  0.889723, Average Loss  0.896026, Time  0.413089
2021-09-22 19:07:37.853883 : Epoch  1, Batch    516, Loss  0.890338, Average Loss  0.895907, Time  0.413064
2021-09-22 19:07:42.819743 : Epoch  1, Batch    517, Loss  0.894747, Average Loss  0.895856, Time  0.413010
2021-09-22 19:07:47.841030 : Epoch  1, Batch    518, Loss  0.893939, Average Loss  0.895758, Time  0.460177
2021-09-22 19:07:52.810046 : Epoch  1, Batch    519, Loss  0.900465, Average Loss  0.895792, Time  0.413443
2021-09-22 19:07:57.798025 : Epoch  1, Batch    520, Loss  0.895542, Average Loss  0.895706, Time  0.414148
2021-09-22 19:08:02.786774 : Epoch  1, Batch    521, Loss  0.890813, Average Loss  0.895656, Time  0.414352
2021-09-22 19:08:07.755134 : Epoch  1, Batch    522, Loss  0.885449, Average Loss  0.895503, Time  0.414211
2021-09-22 19:08:12.723191 : Epoch  1, Batch    523, Loss  0.902733, Average Loss  0.895486, Time  0.413116
2021-09-22 19:08:17.703270 : Epoch  1, Batch    524, Loss  0.898158, Average Loss  0.895431, Time  0.415714
2021-09-22 19:08:22.675844 : Epoch  1, Batch    525, Loss  0.876226, Average Loss  0.895317, Time  0.413092
2021-09-22 19:08:27.628033 : Epoch  1, Batch    526, Loss  0.873772, Average Loss  0.895182, Time  0.413559
2021-09-22 19:08:32.715616 : Epoch  1, Batch    527, Loss  0.876296, Average Loss  0.895035, Time  0.429601
2021-09-22 19:08:37.692971 : Epoch  1, Batch    528, Loss  0.879682, Average Loss  0.894950, Time  0.413208
2021-09-22 19:08:42.662796 : Epoch  1, Batch    529, Loss  0.891887, Average Loss  0.894959, Time  0.413379
2021-09-22 19:08:47.635948 : Epoch  1, Batch    530, Loss  0.899868, Average Loss  0.894874, Time  0.413001
2021-09-22 19:08:52.599761 : Epoch  1, Batch    531, Loss  0.895757, Average Loss  0.894776, Time  0.413221
2021-09-22 19:08:57.576507 : Epoch  1, Batch    532, Loss  0.879623, Average Loss  0.894633, Time  0.414290
2021-09-22 19:09:02.559736 : Epoch  1, Batch    533, Loss  0.886546, Average Loss  0.894558, Time  0.414325
2021-09-22 19:09:07.537762 : Epoch  1, Batch    534, Loss  0.907844, Average Loss  0.894625, Time  0.413563
2021-09-22 19:09:12.490006 : Epoch  1, Batch    535, Loss  0.898075, Average Loss  0.894544, Time  0.413586
2021-09-22 19:09:17.506935 : Epoch  1, Batch    536, Loss  0.890420, Average Loss  0.894491, Time  0.466497
2021-09-22 19:09:22.505730 : Epoch  1, Batch    537, Loss  0.892849, Average Loss  0.894462, Time  0.420409
2021-09-22 19:09:27.475056 : Epoch  1, Batch    538, Loss  0.897334, Average Loss  0.894439, Time  0.413254
2021-09-22 19:09:32.450014 : Epoch  1, Batch    539, Loss  0.885264, Average Loss  0.894333, Time  0.413234
2021-09-22 19:09:37.427004 : Epoch  1, Batch    540, Loss  0.897800, Average Loss  0.894297, Time  0.413423
2021-09-22 19:09:42.392035 : Epoch  1, Batch    541, Loss  0.896342, Average Loss  0.894160, Time  0.412928
2021-09-22 19:09:47.369795 : Epoch  1, Batch    542, Loss  0.880770, Average Loss  0.894071, Time  0.413368
2021-09-22 19:09:52.326964 : Epoch  1, Batch    543, Loss  0.882452, Average Loss  0.893982, Time  0.413002
2021-09-22 19:09:57.287075 : Epoch  1, Batch    544, Loss  0.876273, Average Loss  0.893885, Time  0.412726
2021-09-22 19:10:02.295955 : Epoch  1, Batch    545, Loss  0.868796, Average Loss  0.893809, Time  0.460311
2021-09-22 19:10:07.271023 : Epoch  1, Batch    546, Loss  0.880706, Average Loss  0.893638, Time  0.414197
2021-09-22 19:10:12.255927 : Epoch  1, Batch    547, Loss  0.885093, Average Loss  0.893591, Time  0.414046
2021-09-22 19:10:17.228747 : Epoch  1, Batch    548, Loss  0.880500, Average Loss  0.893484, Time  0.413725
2021-09-22 19:10:22.231993 : Epoch  1, Batch    549, Loss  0.885367, Average Loss  0.893320, Time  0.413604
2021-09-22 19:10:27.204889 : Epoch  1, Batch    550, Loss  0.893536, Average Loss  0.893295, Time  0.413371
2021-09-22 19:10:32.173760 : Epoch  1, Batch    551, Loss  0.880499, Average Loss  0.893173, Time  0.413161
2021-09-22 19:10:37.136748 : Epoch  1, Batch    552, Loss  0.891418, Average Loss  0.893110, Time  0.413477
2021-09-22 19:10:42.094739 : Epoch  1, Batch    553, Loss  0.885386, Average Loss  0.892981, Time  0.413230
2021-09-22 19:10:47.109917 : Epoch  1, Batch    554, Loss  0.905269, Average Loss  0.892950, Time  0.459413
2021-09-22 19:10:52.062885 : Epoch  1, Batch    555, Loss  0.893641, Average Loss  0.892953, Time  0.413222
2021-09-22 19:10:57.019027 : Epoch  1, Batch    556, Loss  0.887390, Average Loss  0.892847, Time  0.413431
2021-09-22 19:11:01.969905 : Epoch  1, Batch    557, Loss  0.886311, Average Loss  0.892840, Time  0.413170
2021-09-22 19:11:06.945023 : Epoch  1, Batch    558, Loss  0.887920, Average Loss  0.892719, Time  0.414207
2021-09-22 19:11:11.913794 : Epoch  1, Batch    559, Loss  0.882123, Average Loss  0.892723, Time  0.413016
2021-09-22 19:11:16.899063 : Epoch  1, Batch    560, Loss  0.885235, Average Loss  0.892583, Time  0.414407
2021-09-22 19:11:21.862541 : Epoch  1, Batch    561, Loss  0.883527, Average Loss  0.892510, Time  0.413709
2021-09-22 19:11:26.842585 : Epoch  1, Batch    562, Loss  0.879623, Average Loss  0.892347, Time  0.414278
2021-09-22 19:11:31.834985 : Epoch  1, Batch    563, Loss  0.889473, Average Loss  0.892240, Time  0.413378
2021-09-22 19:11:37.006948 : Epoch  1, Batch    564, Loss  0.912331, Average Loss  0.892377, Time  0.459545
2021-09-22 19:11:42.002898 : Epoch  1, Batch    565, Loss  0.896612, Average Loss  0.892369, Time  0.413008
2021-09-22 19:11:46.966253 : Epoch  1, Batch    566, Loss  0.888042, Average Loss  0.892267, Time  0.415455
2021-09-22 19:11:51.932648 : Epoch  1, Batch    567, Loss  0.901488, Average Loss  0.892288, Time  0.413069
2021-09-22 19:11:56.903711 : Epoch  1, Batch    568, Loss  0.881569, Average Loss  0.892185, Time  0.413905
2021-09-22 19:12:01.874732 : Epoch  1, Batch    569, Loss  0.880367, Average Loss  0.892071, Time  0.413261
2021-09-22 19:12:06.862909 : Epoch  1, Batch    570, Loss  0.881963, Average Loss  0.891998, Time  0.423055
2021-09-22 19:12:11.848738 : Epoch  1, Batch    571, Loss  0.884110, Average Loss  0.891863, Time  0.414213
2021-09-22 19:12:16.822214 : Epoch  1, Batch    572, Loss  0.884202, Average Loss  0.891788, Time  0.413197
2021-09-22 19:12:21.826896 : Epoch  1, Batch    573, Loss  0.906914, Average Loss  0.891885, Time  0.461879
2021-09-22 19:12:26.792838 : Epoch  1, Batch    574, Loss  0.878114, Average Loss  0.891817, Time  0.413224
2021-09-22 19:12:31.770581 : Epoch  1, Batch    575, Loss  0.880688, Average Loss  0.891738, Time  0.414817
2021-09-22 19:12:36.758946 : Epoch  1, Batch    576, Loss  0.886077, Average Loss  0.891657, Time  0.413571
2021-09-22 19:12:41.739770 : Epoch  1, Batch    577, Loss  0.883267, Average Loss  0.891618, Time  0.416256
2021-09-22 19:12:46.705072 : Epoch  1, Batch    578, Loss  0.889793, Average Loss  0.891582, Time  0.413812
2021-09-22 19:12:51.676163 : Epoch  1, Batch    579, Loss  0.886456, Average Loss  0.891500, Time  0.413305
2021-09-22 19:12:56.671767 : Epoch  1, Batch    580, Loss  0.877764, Average Loss  0.891396, Time  0.413316
2021-09-22 19:13:01.638815 : Epoch  1, Batch    581, Loss  0.892523, Average Loss  0.891397, Time  0.412982
2021-09-22 19:13:06.635431 : Epoch  1, Batch    582, Loss  0.859896, Average Loss  0.891258, Time  0.466562
2021-09-22 19:13:11.597870 : Epoch  1, Batch    583, Loss  0.889775, Average Loss  0.891158, Time  0.415450
2021-09-22 19:13:16.572988 : Epoch  1, Batch    584, Loss  0.891208, Average Loss  0.891152, Time  0.414305
2021-09-22 19:13:21.571865 : Epoch  1, Batch    585, Loss  0.885591, Average Loss  0.891109, Time  0.415498
2021-09-22 19:13:26.530011 : Epoch  1, Batch    586, Loss  0.879626, Average Loss  0.890967, Time  0.413459
2021-09-22 19:13:31.495958 : Epoch  1, Batch    587, Loss  0.891844, Average Loss  0.890993, Time  0.413239
2021-09-22 19:13:36.491093 : Epoch  1, Batch    588, Loss  0.882742, Average Loss  0.890913, Time  0.414261
2021-09-22 19:13:41.457015 : Epoch  1, Batch    589, Loss  0.883293, Average Loss  0.890826, Time  0.413131
2021-09-22 19:13:46.432872 : Epoch  1, Batch    590, Loss  0.867064, Average Loss  0.890693, Time  0.413317
2021-09-22 19:13:51.429128 : Epoch  1, Batch    591, Loss  0.897330, Average Loss  0.890783, Time  0.448950
2021-09-22 19:13:56.391047 : Epoch  1, Batch    592, Loss  0.879903, Average Loss  0.890671, Time  0.413807
2021-09-22 19:14:01.373801 : Epoch  1, Batch    593, Loss  0.900553, Average Loss  0.890739, Time  0.413760
2021-09-22 19:14:06.342292 : Epoch  1, Batch    594, Loss  0.872935, Average Loss  0.890494, Time  0.412831
2021-09-22 19:14:11.308736 : Epoch  1, Batch    595, Loss  0.892753, Average Loss  0.890609, Time  0.413441
2021-09-22 19:14:16.278175 : Epoch  1, Batch    596, Loss  0.908490, Average Loss  0.890608, Time  0.413439
2021-09-22 19:14:21.257999 : Epoch  1, Batch    597, Loss  0.880098, Average Loss  0.890454, Time  0.414057
2021-09-22 19:14:26.230067 : Epoch  1, Batch    598, Loss  0.886695, Average Loss  0.890432, Time  0.414011
2021-09-22 19:14:31.189992 : Epoch  1, Batch    599, Loss  0.883454, Average Loss  0.890285, Time  0.413423
2021-09-22 19:14:36.208087 : Epoch  1, Batch    600, Loss  0.892915, Average Loss  0.890187, Time  0.457817
2021-09-22 19:18:32.746847 : CheckPoint: Validation Loss  0.00015381, Best Loss  0.00015381
2021-09-22 19:18:32.776438 : Best Model Updated
2021-09-22 19:18:38.578293 : Epoch  1, Batch    601, Loss  0.902458, Average Loss  0.890204, Time  0.418236
2021-09-22 19:18:43.588027 : Epoch  1, Batch    602, Loss  0.881978, Average Loss  0.890153, Time  0.413238
2021-09-22 19:18:48.566761 : Epoch  1, Batch    603, Loss  0.896300, Average Loss  0.890178, Time  0.413102
2021-09-22 19:18:53.540367 : Epoch  1, Batch    604, Loss  0.888574, Average Loss  0.890141, Time  0.413151
2021-09-22 19:18:58.515769 : Epoch  1, Batch    605, Loss  0.878409, Average Loss  0.889923, Time  0.421304
2021-09-22 19:19:03.487945 : Epoch  1, Batch    606, Loss  0.900123, Average Loss  0.889885, Time  0.412896
2021-09-22 19:19:08.460753 : Epoch  1, Batch    607, Loss  0.888851, Average Loss  0.889824, Time  0.413271
2021-09-22 19:19:13.429959 : Epoch  1, Batch    608, Loss  0.880820, Average Loss  0.889814, Time  0.414137
2021-09-22 19:19:18.434913 : Epoch  1, Batch    609, Loss  0.877590, Average Loss  0.889766, Time  0.453914
2021-09-22 19:19:23.406015 : Epoch  1, Batch    610, Loss  0.876940, Average Loss  0.889619, Time  0.413974
2021-09-22 19:19:28.561743 : Epoch  1, Batch    611, Loss  0.880665, Average Loss  0.889500, Time  0.414035
2021-09-22 19:19:33.524758 : Epoch  1, Batch    612, Loss  0.884669, Average Loss  0.889377, Time  0.413251
2021-09-22 19:19:38.515753 : Epoch  1, Batch    613, Loss  0.882628, Average Loss  0.889327, Time  0.413095
2021-09-22 19:19:43.477843 : Epoch  1, Batch    614, Loss  0.884069, Average Loss  0.889300, Time  0.413323
2021-09-22 19:19:48.427758 : Epoch  1, Batch    615, Loss  0.893139, Average Loss  0.889269, Time  0.413292
2021-09-22 19:19:53.387908 : Epoch  1, Batch    616, Loss  0.888107, Average Loss  0.889228, Time  0.413110
2021-09-22 19:19:58.348822 : Epoch  1, Batch    617, Loss  0.882866, Average Loss  0.889124, Time  0.413989
2021-09-22 19:20:03.363954 : Epoch  1, Batch    618, Loss  0.885220, Average Loss  0.889049, Time  0.466311
2021-09-22 19:20:08.327201 : Epoch  1, Batch    619, Loss  0.896634, Average Loss  0.888960, Time  0.420538
2021-09-22 19:20:13.298884 : Epoch  1, Batch    620, Loss  0.881782, Average Loss  0.888920, Time  0.413328
2021-09-22 19:20:18.256798 : Epoch  1, Batch    621, Loss  0.877282, Average Loss  0.888818, Time  0.414135
2021-09-22 19:20:23.243008 : Epoch  1, Batch    622, Loss  0.889992, Average Loss  0.888804, Time  0.414234
2021-09-22 19:20:28.187721 : Epoch  1, Batch    623, Loss  0.885209, Average Loss  0.888812, Time  0.413397
2021-09-22 19:20:33.167898 : Epoch  1, Batch    624, Loss  0.881257, Average Loss  0.888762, Time  0.414043
2021-09-22 19:20:38.143762 : Epoch  1, Batch    625, Loss  0.885700, Average Loss  0.888802, Time  0.413173
2021-09-22 19:20:43.116280 : Epoch  1, Batch    626, Loss  0.886757, Average Loss  0.888728, Time  0.414304
2021-09-22 19:20:48.085988 : Epoch  1, Batch    627, Loss  0.884701, Average Loss  0.888668, Time  0.412930
2021-09-22 19:20:53.097921 : Epoch  1, Batch    628, Loss  0.887232, Average Loss  0.888615, Time  0.462601
2021-09-22 19:20:58.066415 : Epoch  1, Batch    629, Loss  0.882197, Average Loss  0.888590, Time  0.413352
2021-09-22 19:21:03.050839 : Epoch  1, Batch    630, Loss  0.870329, Average Loss  0.888504, Time  0.413089
2021-09-22 19:21:08.029899 : Epoch  1, Batch    631, Loss  0.894618, Average Loss  0.888440, Time  0.413467
2021-09-22 19:21:13.019764 : Epoch  1, Batch    632, Loss  0.878536, Average Loss  0.888405, Time  0.413074
2021-09-22 19:21:17.997857 : Epoch  1, Batch    633, Loss  0.884770, Average Loss  0.888388, Time  0.414726
2021-09-22 19:21:22.971957 : Epoch  1, Batch    634, Loss  0.899183, Average Loss  0.888427, Time  0.414064
2021-09-22 19:21:27.945907 : Epoch  1, Batch    635, Loss  0.882455, Average Loss  0.888351, Time  0.413634
2021-09-22 19:21:32.924746 : Epoch  1, Batch    636, Loss  0.895180, Average Loss  0.888382, Time  0.413330
2021-09-22 19:21:37.949745 : Epoch  1, Batch    637, Loss  0.868706, Average Loss  0.888303, Time  0.462642
2021-09-22 19:21:42.950890 : Epoch  1, Batch    638, Loss  0.869731, Average Loss  0.888191, Time  0.413010
2021-09-22 19:21:47.922951 : Epoch  1, Batch    639, Loss  0.881207, Average Loss  0.888122, Time  0.413286
2021-09-22 19:21:52.892387 : Epoch  1, Batch    640, Loss  0.890485, Average Loss  0.888084, Time  0.413413
2021-09-22 19:21:57.863801 : Epoch  1, Batch    641, Loss  0.888922, Average Loss  0.888023, Time  0.412830
2021-09-22 19:22:02.846887 : Epoch  1, Batch    642, Loss  0.900627, Average Loss  0.888108, Time  0.413838
2021-09-22 19:22:07.810871 : Epoch  1, Batch    643, Loss  0.882294, Average Loss  0.888130, Time  0.412943
2021-09-22 19:22:12.787768 : Epoch  1, Batch    644, Loss  0.886236, Average Loss  0.888131, Time  0.414386
2021-09-22 19:22:17.773747 : Epoch  1, Batch    645, Loss  0.881261, Average Loss  0.888034, Time  0.413340
2021-09-22 19:22:22.792875 : Epoch  1, Batch    646, Loss  0.889973, Average Loss  0.888048, Time  0.451398
2021-09-22 19:22:27.766804 : Epoch  1, Batch    647, Loss  0.870718, Average Loss  0.887940, Time  0.414474
2021-09-22 19:22:32.735868 : Epoch  1, Batch    648, Loss  0.885937, Average Loss  0.887879, Time  0.413332
2021-09-22 19:22:37.732736 : Epoch  1, Batch    649, Loss  0.884336, Average Loss  0.887864, Time  0.414079
2021-09-22 19:22:42.713920 : Epoch  1, Batch    650, Loss  0.868092, Average Loss  0.887702, Time  0.413710
2021-09-22 19:22:47.691849 : Epoch  1, Batch    651, Loss  0.873969, Average Loss  0.887611, Time  0.413382
2021-09-22 19:22:52.657854 : Epoch  1, Batch    652, Loss  0.892285, Average Loss  0.887627, Time  0.413431
2021-09-22 19:22:57.613098 : Epoch  1, Batch    653, Loss  0.877952, Average Loss  0.887637, Time  0.413563
2021-09-22 19:23:02.652046 : Epoch  1, Batch    654, Loss  0.890047, Average Loss  0.887600, Time  0.413063
2021-09-22 19:23:07.663980 : Epoch  1, Batch    655, Loss  0.875620, Average Loss  0.887525, Time  0.460154
2021-09-22 19:23:12.625910 : Epoch  1, Batch    656, Loss  0.874855, Average Loss  0.887412, Time  0.413261
2021-09-22 19:23:17.610765 : Epoch  1, Batch    657, Loss  0.883023, Average Loss  0.887302, Time  0.412949
2021-09-22 19:23:22.599061 : Epoch  1, Batch    658, Loss  0.880238, Average Loss  0.887219, Time  0.414454
2021-09-22 19:23:27.574730 : Epoch  1, Batch    659, Loss  0.883837, Average Loss  0.887121, Time  0.413419
2021-09-22 19:23:32.543846 : Epoch  1, Batch    660, Loss  0.892388, Average Loss  0.887106, Time  0.413878
2021-09-22 19:23:37.522730 : Epoch  1, Batch    661, Loss  0.894668, Average Loss  0.887159, Time  0.414348
2021-09-22 19:23:42.536796 : Epoch  1, Batch    662, Loss  0.866967, Average Loss  0.887071, Time  0.413256
2021-09-22 19:23:47.521900 : Epoch  1, Batch    663, Loss  0.882234, Average Loss  0.886937, Time  0.413584
2021-09-22 19:23:52.542859 : Epoch  1, Batch    664, Loss  0.896998, Average Loss  0.887018, Time  0.459241
2021-09-22 19:23:57.519835 : Epoch  1, Batch    665, Loss  0.880457, Average Loss  0.887022, Time  0.417061
2021-09-22 19:24:02.508783 : Epoch  1, Batch    666, Loss  0.901166, Average Loss  0.886968, Time  0.413124
2021-09-22 19:24:07.491733 : Epoch  1, Batch    667, Loss  0.885187, Average Loss  0.886891, Time  0.413023
2021-09-22 19:24:12.459981 : Epoch  1, Batch    668, Loss  0.881393, Average Loss  0.886904, Time  0.413127
2021-09-22 19:24:17.439856 : Epoch  1, Batch    669, Loss  0.896952, Average Loss  0.886859, Time  0.413385
2021-09-22 19:24:22.399870 : Epoch  1, Batch    670, Loss  0.898732, Average Loss  0.886844, Time  0.413372
2021-09-22 19:24:27.371318 : Epoch  1, Batch    671, Loss  0.888517, Average Loss  0.886835, Time  0.414596
2021-09-22 19:24:32.346220 : Epoch  1, Batch    672, Loss  0.880864, Average Loss  0.886723, Time  0.413933
2021-09-22 19:24:37.378761 : Epoch  1, Batch    673, Loss  0.890881, Average Loss  0.886778, Time  0.460518
2021-09-22 19:24:42.338151 : Epoch  1, Batch    674, Loss  0.880772, Average Loss  0.886669, Time  0.415112
2021-09-22 19:24:47.312881 : Epoch  1, Batch    675, Loss  0.896929, Average Loss  0.886651, Time  0.413849
2021-09-22 19:24:52.285858 : Epoch  1, Batch    676, Loss  0.886434, Average Loss  0.886666, Time  0.412846
2021-09-22 19:24:57.307733 : Epoch  1, Batch    677, Loss  0.891438, Average Loss  0.886705, Time  0.413198
2021-09-22 19:25:02.281899 : Epoch  1, Batch    678, Loss  0.877574, Average Loss  0.886610, Time  0.413134
2021-09-22 19:25:07.257751 : Epoch  1, Batch    679, Loss  0.873697, Average Loss  0.886560, Time  0.413272
2021-09-22 19:25:12.221879 : Epoch  1, Batch    680, Loss  0.871119, Average Loss  0.886467, Time  0.413152
2021-09-22 19:25:17.192946 : Epoch  1, Batch    681, Loss  0.890852, Average Loss  0.886464, Time  0.412978
2021-09-22 19:25:22.210883 : Epoch  1, Batch    682, Loss  0.880817, Average Loss  0.886469, Time  0.459882
2021-09-22 19:25:27.178847 : Epoch  1, Batch    683, Loss  0.872191, Average Loss  0.886465, Time  0.413082
2021-09-22 19:25:32.150902 : Epoch  1, Batch    684, Loss  0.875573, Average Loss  0.886369, Time  0.413990
2021-09-22 19:25:37.117842 : Epoch  1, Batch    685, Loss  0.873839, Average Loss  0.886306, Time  0.414292
2021-09-22 19:25:42.109347 : Epoch  1, Batch    686, Loss  0.870890, Average Loss  0.886293, Time  0.414677
2021-09-22 19:25:47.070986 : Epoch  1, Batch    687, Loss  0.887192, Average Loss  0.886270, Time  0.413999
2021-09-22 19:25:52.053877 : Epoch  1, Batch    688, Loss  0.872405, Average Loss  0.886220, Time  0.413049
2021-09-22 19:25:57.091746 : Epoch  1, Batch    689, Loss  0.895854, Average Loss  0.886224, Time  0.414493
2021-09-22 19:26:02.060847 : Epoch  1, Batch    690, Loss  0.876785, Average Loss  0.886124, Time  0.413373
2021-09-22 19:26:07.028894 : Epoch  1, Batch    691, Loss  0.880082, Average Loss  0.886012, Time  0.413116
2021-09-22 19:26:12.049960 : Epoch  1, Batch    692, Loss  0.872000, Average Loss  0.885940, Time  0.467768
2021-09-22 19:26:17.031963 : Epoch  1, Batch    693, Loss  0.899478, Average Loss  0.886015, Time  0.420167
2021-09-22 19:26:22.013943 : Epoch  1, Batch    694, Loss  0.898559, Average Loss  0.886048, Time  0.414029
2021-09-22 19:26:26.996918 : Epoch  1, Batch    695, Loss  0.888667, Average Loss  0.886083, Time  0.422845
2021-09-22 19:26:31.967989 : Epoch  1, Batch    696, Loss  0.892329, Average Loss  0.886074, Time  0.414209
2021-09-22 19:26:36.948961 : Epoch  1, Batch    697, Loss  0.873265, Average Loss  0.885955, Time  0.413525
2021-09-22 19:26:41.929802 : Epoch  1, Batch    698, Loss  0.890450, Average Loss  0.886005, Time  0.413994
2021-09-22 19:26:46.893905 : Epoch  1, Batch    699, Loss  0.882593, Average Loss  0.885976, Time  0.413409
2021-09-22 19:26:51.865901 : Epoch  1, Batch    700, Loss  0.883151, Average Loss  0.885961, Time  0.414321
2021-09-22 19:30:51.433749 : CheckPoint: Validation Loss  0.00015370, Best Loss  0.00015370
2021-09-22 19:30:51.481551 : Best Model Updated
2021-09-22 19:30:57.253018 : Epoch  1, Batch    701, Loss  0.890696, Average Loss  0.885988, Time  0.433291
2021-09-22 19:31:02.196733 : Epoch  1, Batch    702, Loss  0.875886, Average Loss  0.885907, Time  0.412840
2021-09-22 19:31:07.163808 : Epoch  1, Batch    703, Loss  0.895610, Average Loss  0.885995, Time  0.412993
2021-09-22 19:31:12.122067 : Epoch  1, Batch    704, Loss  0.893004, Average Loss  0.885917, Time  0.413063
2021-09-22 19:31:17.086902 : Epoch  1, Batch    705, Loss  0.871207, Average Loss  0.885878, Time  0.412887
2021-09-22 19:31:22.044026 : Epoch  1, Batch    706, Loss  0.881186, Average Loss  0.885851, Time  0.413538
2021-09-22 19:31:27.008865 : Epoch  1, Batch    707, Loss  0.881042, Average Loss  0.885846, Time  0.413905
2021-09-22 19:31:31.966112 : Epoch  1, Batch    708, Loss  0.889675, Average Loss  0.885790, Time  0.414157
2021-09-22 19:31:36.979732 : Epoch  1, Batch    709, Loss  0.881710, Average Loss  0.885722, Time  0.413383
2021-09-22 19:31:41.992959 : Epoch  1, Batch    710, Loss  0.862562, Average Loss  0.885628, Time  0.452527
2021-09-22 19:31:46.950062 : Epoch  1, Batch    711, Loss  0.858673, Average Loss  0.885558, Time  0.413188
2021-09-22 19:31:51.898308 : Epoch  1, Batch    712, Loss  0.877217, Average Loss  0.885647, Time  0.413364
2021-09-22 19:31:56.860784 : Epoch  1, Batch    713, Loss  0.894434, Average Loss  0.885721, Time  0.413610
2021-09-22 19:32:01.819888 : Epoch  1, Batch    714, Loss  0.881541, Average Loss  0.885708, Time  0.414513
2021-09-22 19:32:06.772944 : Epoch  1, Batch    715, Loss  0.888379, Average Loss  0.885701, Time  0.412919
2021-09-22 19:32:11.721829 : Epoch  1, Batch    716, Loss  0.873362, Average Loss  0.885616, Time  0.413053
2021-09-22 19:32:16.672970 : Epoch  1, Batch    717, Loss  0.869981, Average Loss  0.885493, Time  0.413600
2021-09-22 19:32:21.616002 : Epoch  1, Batch    718, Loss  0.887779, Average Loss  0.885462, Time  0.413136
2021-09-22 19:32:26.624801 : Epoch  1, Batch    719, Loss  0.883493, Average Loss  0.885377, Time  0.464007
2021-09-22 19:32:31.587832 : Epoch  1, Batch    720, Loss  0.878392, Average Loss  0.885291, Time  0.415911
2021-09-22 19:32:36.555929 : Epoch  1, Batch    721, Loss  0.886844, Average Loss  0.885271, Time  0.413851
2021-09-22 19:32:41.513830 : Epoch  1, Batch    722, Loss  0.884435, Average Loss  0.885266, Time  0.413384
2021-09-22 19:32:46.465826 : Epoch  1, Batch    723, Loss  0.881880, Average Loss  0.885162, Time  0.413503
2021-09-22 19:32:51.412943 : Epoch  1, Batch    724, Loss  0.870204, Average Loss  0.885022, Time  0.413191
2021-09-22 19:32:56.358238 : Epoch  1, Batch    725, Loss  0.887514, Average Loss  0.885079, Time  0.414385
2021-09-22 19:33:01.450760 : Epoch  1, Batch    726, Loss  0.877198, Average Loss  0.885096, Time  0.413172
2021-09-22 19:33:06.410755 : Epoch  1, Batch    727, Loss  0.887767, Average Loss  0.885153, Time  0.413789
2021-09-22 19:33:11.405018 : Epoch  1, Batch    728, Loss  0.879348, Average Loss  0.885151, Time  0.449535
2021-09-22 19:33:16.348738 : Epoch  1, Batch    729, Loss  0.889813, Average Loss  0.885141, Time  0.413224
2021-09-22 19:33:21.309764 : Epoch  1, Batch    730, Loss  0.882392, Average Loss  0.885054, Time  0.413101
2021-09-22 19:33:26.259814 : Epoch  1, Batch    731, Loss  0.883640, Average Loss  0.884993, Time  0.413342
2021-09-22 19:33:31.222824 : Epoch  1, Batch    732, Loss  0.880885, Average Loss  0.884999, Time  0.414971
2021-09-22 19:33:36.166951 : Epoch  1, Batch    733, Loss  0.886071, Average Loss  0.884997, Time  0.413815
2021-09-22 19:33:41.105761 : Epoch  1, Batch    734, Loss  0.901873, Average Loss  0.884967, Time  0.413970
2021-09-22 19:33:46.050846 : Epoch  1, Batch    735, Loss  0.895339, Average Loss  0.884954, Time  0.414893
2021-09-22 19:33:50.988040 : Epoch  1, Batch    736, Loss  0.884992, Average Loss  0.884926, Time  0.413557
2021-09-22 19:33:55.949717 : Epoch  1, Batch    737, Loss  0.875789, Average Loss  0.884841, Time  0.413360
2021-09-22 19:34:00.960766 : Epoch  1, Batch    738, Loss  0.859560, Average Loss  0.884652, Time  0.452290
2021-09-22 19:34:05.911915 : Epoch  1, Batch    739, Loss  0.881791, Average Loss  0.884635, Time  0.413677
2021-09-22 19:34:10.858782 : Epoch  1, Batch    740, Loss  0.895151, Average Loss  0.884622, Time  0.413129
2021-09-22 19:34:15.803125 : Epoch  1, Batch    741, Loss  0.866902, Average Loss  0.884474, Time  0.413081
2021-09-22 19:34:20.876852 : Epoch  1, Batch    742, Loss  0.883655, Average Loss  0.884489, Time  0.413136
2021-09-22 19:34:25.816958 : Epoch  1, Batch    743, Loss  0.883435, Average Loss  0.884494, Time  0.413119
2021-09-22 19:34:30.772863 : Epoch  1, Batch    744, Loss  0.870968, Average Loss  0.884467, Time  0.413359
2021-09-22 19:34:35.733979 : Epoch  1, Batch    745, Loss  0.881344, Average Loss  0.884530, Time  0.414080
2021-09-22 19:34:40.700860 : Epoch  1, Batch    746, Loss  0.887174, Average Loss  0.884562, Time  0.415014
2021-09-22 19:34:45.705883 : Epoch  1, Batch    747, Loss  0.883486, Average Loss  0.884554, Time  0.462616
2021-09-22 19:34:50.672890 : Epoch  1, Batch    748, Loss  0.891434, Average Loss  0.884609, Time  0.414122
2021-09-22 19:34:55.620109 : Epoch  1, Batch    749, Loss  0.871622, Average Loss  0.884540, Time  0.413281
2021-09-22 19:35:00.566962 : Epoch  1, Batch    750, Loss  0.899065, Average Loss  0.884568, Time  0.412978
2021-09-22 19:35:05.522765 : Epoch  1, Batch    751, Loss  0.876027, Average Loss  0.884545, Time  0.413464
2021-09-22 19:35:10.479873 : Epoch  1, Batch    752, Loss  0.880266, Average Loss  0.884490, Time  0.413121
2021-09-22 19:35:15.424936 : Epoch  1, Batch    753, Loss  0.887320, Average Loss  0.884499, Time  0.413115
2021-09-22 19:35:20.388029 : Epoch  1, Batch    754, Loss  0.885094, Average Loss  0.884398, Time  0.413545
2021-09-22 19:35:25.329850 : Epoch  1, Batch    755, Loss  0.875930, Average Loss  0.884310, Time  0.412925
2021-09-22 19:35:30.278039 : Epoch  1, Batch    756, Loss  0.877569, Average Loss  0.884261, Time  0.413163
2021-09-22 19:35:35.278802 : Epoch  1, Batch    757, Loss  0.866639, Average Loss  0.884162, Time  0.460153
2021-09-22 19:35:40.239801 : Epoch  1, Batch    758, Loss  0.878332, Average Loss  0.884115, Time  0.413927
2021-09-22 19:35:45.206941 : Epoch  1, Batch    759, Loss  0.873013, Average Loss  0.884069, Time  0.414119
2021-09-22 19:35:50.166960 : Epoch  1, Batch    760, Loss  0.875120, Average Loss  0.884018, Time  0.414256
2021-09-22 19:35:55.117967 : Epoch  1, Batch    761, Loss  0.876008, Average Loss  0.883981, Time  0.413786
2021-09-22 19:36:00.069910 : Epoch  1, Batch    762, Loss  0.880807, Average Loss  0.883987, Time  0.413332
2021-09-22 19:36:05.025964 : Epoch  1, Batch    763, Loss  0.887420, Average Loss  0.883976, Time  0.413078
2021-09-22 19:36:09.979767 : Epoch  1, Batch    764, Loss  0.879696, Average Loss  0.883813, Time  0.413310
2021-09-22 19:36:14.922743 : Epoch  1, Batch    765, Loss  0.879424, Average Loss  0.883727, Time  0.413211
2021-09-22 19:36:19.869841 : Epoch  1, Batch    766, Loss  0.887242, Average Loss  0.883723, Time  0.413280
2021-09-22 19:36:24.862929 : Epoch  1, Batch    767, Loss  0.883898, Average Loss  0.883635, Time  0.453376
2021-09-22 19:36:29.809726 : Epoch  1, Batch    768, Loss  0.868730, Average Loss  0.883571, Time  0.413108
2021-09-22 19:36:34.765913 : Epoch  1, Batch    769, Loss  0.892036, Average Loss  0.883630, Time  0.413131
2021-09-22 19:36:39.728801 : Epoch  1, Batch    770, Loss  0.882845, Average Loss  0.883634, Time  0.414308
2021-09-22 19:36:44.694787 : Epoch  1, Batch    771, Loss  0.885680, Average Loss  0.883642, Time  0.414170
2021-09-22 19:36:49.646947 : Epoch  1, Batch    772, Loss  0.894576, Average Loss  0.883694, Time  0.413824
2021-09-22 19:36:54.620940 : Epoch  1, Batch    773, Loss  0.877915, Average Loss  0.883549, Time  0.413572
2021-09-22 19:36:59.572970 : Epoch  1, Batch    774, Loss  0.870769, Average Loss  0.883512, Time  0.413388
2021-09-22 19:37:04.535903 : Epoch  1, Batch    775, Loss  0.875718, Average Loss  0.883487, Time  0.413114
2021-09-22 19:37:09.538043 : Epoch  1, Batch    776, Loss  0.877948, Average Loss  0.883446, Time  0.454099
2021-09-22 19:37:14.491971 : Epoch  1, Batch    777, Loss  0.874073, Average Loss  0.883400, Time  0.413239
2021-09-22 19:37:19.445980 : Epoch  1, Batch    778, Loss  0.869003, Average Loss  0.883297, Time  0.413435
2021-09-22 19:37:24.424746 : Epoch  1, Batch    779, Loss  0.889110, Average Loss  0.883310, Time  0.423711
2021-09-22 19:37:29.383879 : Epoch  1, Batch    780, Loss  0.880906, Average Loss  0.883326, Time  0.413428
2021-09-22 19:37:34.333951 : Epoch  1, Batch    781, Loss  0.885877, Average Loss  0.883292, Time  0.413185
2021-09-22 19:37:39.289216 : Epoch  1, Batch    782, Loss  0.877386, Average Loss  0.883380, Time  0.417481
2021-09-22 19:37:44.261727 : Epoch  1, Batch    783, Loss  0.883057, Average Loss  0.883346, Time  0.413563
2021-09-22 19:37:49.213442 : Epoch  1, Batch    784, Loss  0.891518, Average Loss  0.883348, Time  0.414157
2021-09-22 19:37:54.176717 : Epoch  1, Batch    785, Loss  0.873367, Average Loss  0.883287, Time  0.414194
2021-09-22 19:37:59.188018 : Epoch  1, Batch    786, Loss  0.878870, Average Loss  0.883283, Time  0.466210
2021-09-22 19:38:04.136711 : Epoch  1, Batch    787, Loss  0.880421, Average Loss  0.883226, Time  0.417550
2021-09-22 19:38:09.087031 : Epoch  1, Batch    788, Loss  0.875441, Average Loss  0.883189, Time  0.412981
2021-09-22 19:38:14.030186 : Epoch  1, Batch    789, Loss  0.882594, Average Loss  0.883186, Time  0.413486
2021-09-22 19:38:18.989785 : Epoch  1, Batch    790, Loss  0.870201, Average Loss  0.883201, Time  0.413103
2021-09-22 19:38:23.943923 : Epoch  1, Batch    791, Loss  0.893344, Average Loss  0.883181, Time  0.413184
2021-09-22 19:38:28.901852 : Epoch  1, Batch    792, Loss  0.881412, Average Loss  0.883189, Time  0.413144
2021-09-22 19:38:33.852945 : Epoch  1, Batch    793, Loss  0.888330, Average Loss  0.883128, Time  0.413316
2021-09-22 19:38:38.800290 : Epoch  1, Batch    794, Loss  0.889835, Average Loss  0.883212, Time  0.412997
2021-09-22 19:38:43.791730 : Epoch  1, Batch    795, Loss  0.889532, Average Loss  0.883196, Time  0.433149
2021-09-22 19:38:48.745903 : Epoch  1, Batch    796, Loss  0.878944, Average Loss  0.883049, Time  0.413512
2021-09-22 19:38:53.689964 : Epoch  1, Batch    797, Loss  0.879248, Average Loss  0.883044, Time  0.413661
2021-09-22 19:38:58.639858 : Epoch  1, Batch    798, Loss  0.884020, Average Loss  0.883031, Time  0.423294
2021-09-22 19:39:03.583728 : Epoch  1, Batch    799, Loss  0.877765, Average Loss  0.883002, Time  0.413281
2021-09-22 19:39:08.540793 : Epoch  1, Batch    800, Loss  0.874630, Average Loss  0.882911, Time  0.413345
2021-09-22 19:43:08.550750 : CheckPoint: Validation Loss  0.00015229, Best Loss  0.00015229
2021-09-22 19:43:08.577550 : Best Model Updated
2021-09-22 19:43:14.417841 : Epoch  1, Batch    801, Loss  0.882113, Average Loss  0.882809, Time  0.414505
2021-09-22 19:43:19.369994 : Epoch  1, Batch    802, Loss  0.871358, Average Loss  0.882756, Time  0.413656
2021-09-22 19:43:24.312885 : Epoch  1, Batch    803, Loss  0.881042, Average Loss  0.882680, Time  0.413118
2021-09-22 19:43:29.311934 : Epoch  1, Batch    804, Loss  0.865903, Average Loss  0.882567, Time  0.446919
2021-09-22 19:43:34.270934 : Epoch  1, Batch    805, Loss  0.866896, Average Loss  0.882509, Time  0.414000
2021-09-22 19:43:39.260357 : Epoch  1, Batch    806, Loss  0.890226, Average Loss  0.882460, Time  0.414207
2021-09-22 19:43:44.242215 : Epoch  1, Batch    807, Loss  0.875281, Average Loss  0.882392, Time  0.413857
2021-09-22 19:43:49.196048 : Epoch  1, Batch    808, Loss  0.887028, Average Loss  0.882423, Time  0.413317
2021-09-22 19:43:54.157895 : Epoch  1, Batch    809, Loss  0.888361, Average Loss  0.882477, Time  0.413952
2021-09-22 19:43:59.109884 : Epoch  1, Batch    810, Loss  0.851781, Average Loss  0.882351, Time  0.413300
2021-09-22 19:44:04.080727 : Epoch  1, Batch    811, Loss  0.873537, Average Loss  0.882315, Time  0.413329
2021-09-22 19:44:09.037747 : Epoch  1, Batch    812, Loss  0.879848, Average Loss  0.882291, Time  0.412776
2021-09-22 19:44:14.042946 : Epoch  1, Batch    813, Loss  0.867799, Average Loss  0.882217, Time  0.462973
2021-09-22 19:44:18.991861 : Epoch  1, Batch    814, Loss  0.886328, Average Loss  0.882228, Time  0.415990
2021-09-22 19:44:23.953726 : Epoch  1, Batch    815, Loss  0.869281, Average Loss  0.882109, Time  0.412802
2021-09-22 19:44:28.919965 : Epoch  1, Batch    816, Loss  0.883771, Average Loss  0.882087, Time  0.413289
2021-09-22 19:44:33.890964 : Epoch  1, Batch    817, Loss  0.876309, Average Loss  0.882054, Time  0.413107
2021-09-22 19:44:38.873733 : Epoch  1, Batch    818, Loss  0.881240, Average Loss  0.882035, Time  0.414399
2021-09-22 19:44:43.855978 : Epoch  1, Batch    819, Loss  0.859747, Average Loss  0.881850, Time  0.413671
2021-09-22 19:44:48.810870 : Epoch  1, Batch    820, Loss  0.886868, Average Loss  0.881876, Time  0.414091
2021-09-22 19:44:53.770867 : Epoch  1, Batch    821, Loss  0.870987, Average Loss  0.881844, Time  0.414444
2021-09-22 19:44:58.787895 : Epoch  1, Batch    822, Loss  0.905768, Average Loss  0.881923, Time  0.458617
2021-09-22 19:45:03.747775 : Epoch  1, Batch    823, Loss  0.892783, Average Loss  0.881961, Time  0.413177
2021-09-22 19:45:08.711742 : Epoch  1, Batch    824, Loss  0.896102, Average Loss  0.882035, Time  0.413149
2021-09-22 19:45:13.675755 : Epoch  1, Batch    825, Loss  0.889134, Average Loss  0.882052, Time  0.413618
2021-09-22 19:45:18.624006 : Epoch  1, Batch    826, Loss  0.869971, Average Loss  0.881968, Time  0.413261
2021-09-22 19:45:23.568943 : Epoch  1, Batch    827, Loss  0.887142, Average Loss  0.881980, Time  0.413266
2021-09-22 19:45:28.510853 : Epoch  1, Batch    828, Loss  0.893269, Average Loss  0.882011, Time  0.413288
2021-09-22 19:45:33.465752 : Epoch  1, Batch    829, Loss  0.874405, Average Loss  0.881972, Time  0.413029
2021-09-22 19:45:38.436797 : Epoch  1, Batch    830, Loss  0.878640, Average Loss  0.882013, Time  0.417073
2021-09-22 19:45:43.475762 : Epoch  1, Batch    831, Loss  0.860550, Average Loss  0.881843, Time  0.459274
2021-09-22 19:45:48.446936 : Epoch  1, Batch    832, Loss  0.906868, Average Loss  0.881985, Time  0.414277
2021-09-22 19:45:53.405827 : Epoch  1, Batch    833, Loss  0.874263, Average Loss  0.881932, Time  0.413577
2021-09-22 19:45:58.384101 : Epoch  1, Batch    834, Loss  0.874827, Average Loss  0.881810, Time  0.414081
2021-09-22 19:46:03.350745 : Epoch  1, Batch    835, Loss  0.877378, Average Loss  0.881785, Time  0.413578
2021-09-22 19:46:08.304868 : Epoch  1, Batch    836, Loss  0.891526, Average Loss  0.881767, Time  0.413055
2021-09-22 19:46:13.263969 : Epoch  1, Batch    837, Loss  0.874044, Average Loss  0.881793, Time  0.412870
2021-09-22 19:46:18.248893 : Epoch  1, Batch    838, Loss  0.887194, Average Loss  0.881881, Time  0.413642
2021-09-22 19:46:23.199764 : Epoch  1, Batch    839, Loss  0.871812, Average Loss  0.881834, Time  0.413349
2021-09-22 19:46:28.171991 : Epoch  1, Batch    840, Loss  0.870232, Average Loss  0.881732, Time  0.413620
2021-09-22 19:46:33.179883 : Epoch  1, Batch    841, Loss  0.882145, Average Loss  0.881698, Time  0.458598
2021-09-22 19:46:38.144750 : Epoch  1, Batch    842, Loss  0.865763, Average Loss  0.881524, Time  0.413386
2021-09-22 19:46:43.110303 : Epoch  1, Batch    843, Loss  0.885671, Average Loss  0.881541, Time  0.414059
2021-09-22 19:46:48.074331 : Epoch  1, Batch    844, Loss  0.886405, Average Loss  0.881542, Time  0.413978
2021-09-22 19:46:53.037930 : Epoch  1, Batch    845, Loss  0.871566, Average Loss  0.881493, Time  0.414043
2021-09-22 19:46:57.991750 : Epoch  1, Batch    846, Loss  0.868968, Average Loss  0.881388, Time  0.413674
2021-09-22 19:47:02.960872 : Epoch  1, Batch    847, Loss  0.878400, Average Loss  0.881427, Time  0.413550
2021-09-22 19:47:07.930768 : Epoch  1, Batch    848, Loss  0.866543, Average Loss  0.881330, Time  0.413556
2021-09-22 19:47:12.902968 : Epoch  1, Batch    849, Loss  0.866392, Average Loss  0.881240, Time  0.412739
2021-09-22 19:47:17.889986 : Epoch  1, Batch    850, Loss  0.886292, Average Loss  0.881331, Time  0.457096
2021-09-22 19:47:22.861897 : Epoch  1, Batch    851, Loss  0.868739, Average Loss  0.881305, Time  0.413120
2021-09-22 19:47:27.808847 : Epoch  1, Batch    852, Loss  0.866593, Average Loss  0.881177, Time  0.412965
2021-09-22 19:47:32.770733 : Epoch  1, Batch    853, Loss  0.890377, Average Loss  0.881239, Time  0.413174
2021-09-22 19:47:37.724909 : Epoch  1, Batch    854, Loss  0.891096, Average Loss  0.881244, Time  0.413229
2021-09-22 19:47:42.669936 : Epoch  1, Batch    855, Loss  0.861364, Average Loss  0.881173, Time  0.412983
2021-09-22 19:47:47.622935 : Epoch  1, Batch    856, Loss  0.862166, Average Loss  0.881109, Time  0.414349
2021-09-22 19:47:52.579733 : Epoch  1, Batch    857, Loss  0.881288, Average Loss  0.881100, Time  0.413021
2021-09-22 19:47:57.538919 : Epoch  1, Batch    858, Loss  0.877996, Average Loss  0.881089, Time  0.414374
2021-09-22 19:48:02.547779 : Epoch  1, Batch    859, Loss  0.866638, Average Loss  0.881003, Time  0.463618
2021-09-22 19:48:07.542099 : Epoch  1, Batch    860, Loss  0.868135, Average Loss  0.880882, Time  0.419392
2021-09-22 19:48:12.492919 : Epoch  1, Batch    861, Loss  0.890182, Average Loss  0.880860, Time  0.413096
2021-09-22 19:48:17.443711 : Epoch  1, Batch    862, Loss  0.881819, Average Loss  0.880934, Time  0.413015
2021-09-22 19:48:22.449757 : Epoch  1, Batch    863, Loss  0.876372, Average Loss  0.880905, Time  0.413180
2021-09-22 19:48:27.421786 : Epoch  1, Batch    864, Loss  0.887032, Average Loss  0.880855, Time  0.413008
2021-09-22 19:48:32.367968 : Epoch  1, Batch    865, Loss  0.876136, Average Loss  0.880833, Time  0.413229
2021-09-22 19:48:37.330782 : Epoch  1, Batch    866, Loss  0.866536, Average Loss  0.880660, Time  0.413864
2021-09-22 19:48:42.307543 : Epoch  1, Batch    867, Loss  0.891451, Average Loss  0.880691, Time  0.423037
2021-09-22 19:48:47.263745 : Epoch  1, Batch    868, Loss  0.872498, Average Loss  0.880647, Time  0.413340
2021-09-22 19:48:52.266945 : Epoch  1, Batch    869, Loss  0.881032, Average Loss  0.880567, Time  0.464862
2021-09-22 19:48:57.302777 : Epoch  1, Batch    870, Loss  0.882429, Average Loss  0.880486, Time  0.419086
2021-09-22 19:49:02.260803 : Epoch  1, Batch    871, Loss  0.888026, Average Loss  0.880483, Time  0.414018
2021-09-22 19:49:07.207947 : Epoch  1, Batch    872, Loss  0.872714, Average Loss  0.880442, Time  0.414301
2021-09-22 19:49:12.208888 : Epoch  1, Batch    873, Loss  0.872736, Average Loss  0.880352, Time  0.413564
2021-09-22 19:49:17.183757 : Epoch  1, Batch    874, Loss  0.877130, Average Loss  0.880334, Time  0.413970
2021-09-22 19:49:22.141719 : Epoch  1, Batch    875, Loss  0.890215, Average Loss  0.880300, Time  0.412998
2021-09-22 19:49:27.117789 : Epoch  1, Batch    876, Loss  0.898975, Average Loss  0.880363, Time  0.413514
2021-09-22 19:49:32.066937 : Epoch  1, Batch    877, Loss  0.882923, Average Loss  0.880320, Time  0.413109
2021-09-22 19:49:37.097890 : Epoch  1, Batch    878, Loss  0.884683, Average Loss  0.880356, Time  0.431783
2021-09-22 19:49:42.051951 : Epoch  1, Batch    879, Loss  0.873947, Average Loss  0.880357, Time  0.413287
2021-09-22 19:49:47.071956 : Epoch  1, Batch    880, Loss  0.875488, Average Loss  0.880379, Time  0.413079
2021-09-22 19:49:52.039880 : Epoch  1, Batch    881, Loss  0.863299, Average Loss  0.880241, Time  0.414786
2021-09-22 19:49:57.103752 : Epoch  1, Batch    882, Loss  0.866536, Average Loss  0.880170, Time  0.417147
2021-09-22 19:50:02.201084 : Epoch  1, Batch    883, Loss  0.869270, Average Loss  0.880155, Time  0.442820
2021-09-22 19:50:07.174865 : Epoch  1, Batch    884, Loss  0.866324, Average Loss  0.880109, Time  0.413480
2021-09-22 19:50:12.137738 : Epoch  1, Batch    885, Loss  0.886882, Average Loss  0.880174, Time  0.413307
2021-09-22 19:50:17.095871 : Epoch  1, Batch    886, Loss  0.877788, Average Loss  0.880208, Time  0.413644
2021-09-22 19:50:22.098125 : Epoch  1, Batch    887, Loss  0.894487, Average Loss  0.880245, Time  0.454805
2021-09-22 19:50:27.045753 : Epoch  1, Batch    888, Loss  0.898053, Average Loss  0.880373, Time  0.413481
2021-09-22 19:50:31.998458 : Epoch  1, Batch    889, Loss  0.878429, Average Loss  0.880286, Time  0.413594
2021-09-22 19:50:36.965815 : Epoch  1, Batch    890, Loss  0.876139, Average Loss  0.880283, Time  0.413915
2021-09-22 19:50:41.938981 : Epoch  1, Batch    891, Loss  0.873108, Average Loss  0.880248, Time  0.413098
2021-09-22 19:50:46.892057 : Epoch  1, Batch    892, Loss  0.877834, Average Loss  0.880277, Time  0.413219
2021-09-22 19:50:51.844704 : Epoch  1, Batch    893, Loss  0.884264, Average Loss  0.880201, Time  0.412992
2021-09-22 19:50:56.818863 : Epoch  1, Batch    894, Loss  0.894066, Average Loss  0.880179, Time  0.414284
2021-09-22 19:51:01.850945 : Epoch  1, Batch    895, Loss  0.889144, Average Loss  0.880181, Time  0.413815
2021-09-22 19:51:06.863991 : Epoch  1, Batch    896, Loss  0.871252, Average Loss  0.880076, Time  0.468116
2021-09-22 19:51:11.840984 : Epoch  1, Batch    897, Loss  0.883495, Average Loss  0.880127, Time  0.421222
2021-09-22 19:51:16.825877 : Epoch  1, Batch    898, Loss  0.874600, Average Loss  0.880047, Time  0.413236
2021-09-22 19:51:21.783728 : Epoch  1, Batch    899, Loss  0.870548, Average Loss  0.879987, Time  0.413772
2021-09-22 19:51:26.763285 : Epoch  1, Batch    900, Loss  0.872640, Average Loss  0.879935, Time  0.413539
2021-09-22 19:55:23.747752 : CheckPoint: Validation Loss  0.00015233, Best Loss  0.00015229
2021-09-22 19:55:28.728916 : Epoch  1, Batch    901, Loss  0.874376, Average Loss  0.879853, Time  0.414316
2021-09-22 19:55:33.698912 : Epoch  1, Batch    902, Loss  0.868791, Average Loss  0.879818, Time  0.412968
2021-09-22 19:55:38.692002 : Epoch  1, Batch    903, Loss  0.884162, Average Loss  0.879760, Time  0.414485
2021-09-22 19:55:43.692924 : Epoch  1, Batch    904, Loss  0.870929, Average Loss  0.879650, Time  0.413404
2021-09-22 19:55:48.721771 : Epoch  1, Batch    905, Loss  0.866030, Average Loss  0.879624, Time  0.457112
2021-09-22 19:55:53.731443 : Epoch  1, Batch    906, Loss  0.877674, Average Loss  0.879607, Time  0.416771
2021-09-22 19:55:58.740795 : Epoch  1, Batch    907, Loss  0.873107, Average Loss  0.879567, Time  0.413860
2021-09-22 19:56:03.745786 : Epoch  1, Batch    908, Loss  0.883023, Average Loss  0.879534, Time  0.414371
2021-09-22 19:56:08.797774 : Epoch  1, Batch    909, Loss  0.871085, Average Loss  0.879480, Time  0.416525
2021-09-22 19:56:13.772995 : Epoch  1, Batch    910, Loss  0.873517, Average Loss  0.879535, Time  0.413484
2021-09-22 19:56:18.775233 : Epoch  1, Batch    911, Loss  0.874272, Average Loss  0.879613, Time  0.413412
2021-09-22 19:56:23.771685 : Epoch  1, Batch    912, Loss  0.895835, Average Loss  0.879706, Time  0.413551
2021-09-22 19:56:28.748759 : Epoch  1, Batch    913, Loss  0.857868, Average Loss  0.879524, Time  0.413745
2021-09-22 19:56:33.783858 : Epoch  1, Batch    914, Loss  0.867577, Average Loss  0.879454, Time  0.466732
2021-09-22 19:56:38.773379 : Epoch  1, Batch    915, Loss  0.875741, Average Loss  0.879390, Time  0.414147
2021-09-22 19:56:43.762956 : Epoch  1, Batch    916, Loss  0.879289, Average Loss  0.879420, Time  0.414620
2021-09-22 19:56:48.726498 : Epoch  1, Batch    917, Loss  0.880812, Average Loss  0.879474, Time  0.414147
2021-09-22 19:56:53.803306 : Epoch  1, Batch    918, Loss  0.883734, Average Loss  0.879454, Time  0.421808
2021-09-22 19:56:58.857799 : Epoch  1, Batch    919, Loss  0.898434, Average Loss  0.879529, Time  0.413572
2021-09-22 19:57:03.848790 : Epoch  1, Batch    920, Loss  0.873195, Average Loss  0.879503, Time  0.413929
2021-09-22 19:57:08.842780 : Epoch  1, Batch    921, Loss  0.873938, Average Loss  0.879438, Time  0.415985
2021-09-22 19:57:13.814856 : Epoch  1, Batch    922, Loss  0.867223, Average Loss  0.879352, Time  0.414177
2021-09-22 19:57:18.845040 : Epoch  1, Batch    923, Loss  0.873761, Average Loss  0.879312, Time  0.458236
2021-09-22 19:57:23.840775 : Epoch  1, Batch    924, Loss  0.876434, Average Loss  0.879343, Time  0.413744
2021-09-22 19:57:28.850638 : Epoch  1, Batch    925, Loss  0.864360, Average Loss  0.879227, Time  0.414750
2021-09-22 19:57:33.868957 : Epoch  1, Batch    926, Loss  0.864093, Average Loss  0.879161, Time  0.414564
2021-09-22 19:57:38.917765 : Epoch  1, Batch    927, Loss  0.876042, Average Loss  0.879103, Time  0.415422
2021-09-22 19:57:43.946973 : Epoch  1, Batch    928, Loss  0.882575, Average Loss  0.879119, Time  0.415881
2021-09-22 19:57:43.979674 : Saving Model after 1-th Epoch.
2021-09-22 19:57:44.660612 : Epoch Finished.
2021-09-22 19:57:53.330659 : Batch Shuffled
2021-09-22 19:57:58.301518 : Epoch  2, Batch      1, Loss  0.904421, Average Loss  0.879192, Time  0.414695
2021-09-22 19:58:03.315056 : Epoch  2, Batch      2, Loss  0.868870, Average Loss  0.879124, Time  0.415449
2021-09-22 19:58:08.352135 : Epoch  2, Batch      3, Loss  0.869965, Average Loss  0.879056, Time  0.459716
2021-09-22 19:58:13.324085 : Epoch  2, Batch      4, Loss  0.886916, Average Loss  0.879086, Time  0.413983
2021-09-22 19:58:18.369772 : Epoch  2, Batch      5, Loss  0.883563, Average Loss  0.879074, Time  0.413879
2021-09-22 19:58:23.335105 : Epoch  2, Batch      6, Loss  0.877986, Average Loss  0.878954, Time  0.413614
2021-09-22 19:58:28.341746 : Epoch  2, Batch      7, Loss  0.873093, Average Loss  0.878843, Time  0.414112
2021-09-22 19:58:33.299995 : Epoch  2, Batch      8, Loss  0.862092, Average Loss  0.878728, Time  0.414551
2021-09-22 19:58:38.288908 : Epoch  2, Batch      9, Loss  0.876826, Average Loss  0.878734, Time  0.424066
2021-09-22 19:58:43.279833 : Epoch  2, Batch     10, Loss  0.881523, Average Loss  0.878843, Time  0.414855
2021-09-22 19:58:48.260837 : Epoch  2, Batch     11, Loss  0.872354, Average Loss  0.878796, Time  0.414259
2021-09-22 19:58:53.274003 : Epoch  2, Batch     12, Loss  0.873806, Average Loss  0.878690, Time  0.457095
2021-09-22 19:58:58.264880 : Epoch  2, Batch     13, Loss  0.865823, Average Loss  0.878684, Time  0.414518
2021-09-22 19:59:03.307818 : Epoch  2, Batch     14, Loss  0.882416, Average Loss  0.878678, Time  0.415508
2021-09-22 19:59:08.303807 : Epoch  2, Batch     15, Loss  0.890327, Average Loss  0.878712, Time  0.414298
2021-09-22 19:59:13.275494 : Epoch  2, Batch     16, Loss  0.875947, Average Loss  0.878737, Time  0.414138
2021-09-22 19:59:18.232116 : Epoch  2, Batch     17, Loss  0.884606, Average Loss  0.878754, Time  0.413797
2021-09-22 19:59:23.243922 : Epoch  2, Batch     18, Loss  0.871372, Average Loss  0.878675, Time  0.414102
2021-09-22 19:59:28.200150 : Epoch  2, Batch     19, Loss  0.873992, Average Loss  0.878627, Time  0.413423
2021-09-22 19:59:33.215705 : Epoch  2, Batch     20, Loss  0.873331, Average Loss  0.878537, Time  0.413587
2021-09-22 19:59:38.272993 : Epoch  2, Batch     21, Loss  0.873659, Average Loss  0.878547, Time  0.470089
2021-09-22 19:59:43.280865 : Epoch  2, Batch     22, Loss  0.880616, Average Loss  0.878455, Time  0.414048
2021-09-22 19:59:48.262376 : Epoch  2, Batch     23, Loss  0.880800, Average Loss  0.878478, Time  0.414899
2021-09-22 19:59:53.235035 : Epoch  2, Batch     24, Loss  0.878853, Average Loss  0.878471, Time  0.415050
2021-09-22 19:59:58.225658 : Epoch  2, Batch     25, Loss  0.881058, Average Loss  0.878440, Time  0.414134
2021-09-22 20:00:03.186860 : Epoch  2, Batch     26, Loss  0.873651, Average Loss  0.878383, Time  0.414591
2021-09-22 20:00:08.202980 : Epoch  2, Batch     27, Loss  0.858408, Average Loss  0.878295, Time  0.414514
2021-09-22 20:00:13.192942 : Epoch  2, Batch     28, Loss  0.895689, Average Loss  0.878386, Time  0.414950
2021-09-22 20:00:18.153037 : Epoch  2, Batch     29, Loss  0.880682, Average Loss  0.878456, Time  0.414120
2021-09-22 20:00:21.170450 : Building dataset train from orignial text documents
2021-09-22 20:00:23.150116 : Epoch  2, Batch     30, Loss  0.884185, Average Loss  0.878485, Time  0.431212
2021-09-22 20:00:28.123947 : Epoch  2, Batch     31, Loss  0.871392, Average Loss  0.878477, Time  0.413403
2021-09-22 20:00:33.077764 : Epoch  2, Batch     32, Loss  0.877439, Average Loss  0.878489, Time  0.413846
2021-09-22 20:00:38.039149 : Epoch  2, Batch     33, Loss  0.871571, Average Loss  0.878467, Time  0.414960
2021-09-22 20:00:43.005034 : Epoch  2, Batch     34, Loss  0.881913, Average Loss  0.878472, Time  0.414414
2021-09-22 20:00:48.026853 : Epoch  2, Batch     35, Loss  0.878238, Average Loss  0.878426, Time  0.415812
2021-09-22 20:00:50.644346 : Finish Loading dataset train
2021-09-22 20:00:50.684627 : Data Shuffle
2021-09-22 20:00:50.718097 : Start Shuffling
2021-09-22 20:00:51.881711 : Finish Shuffling
2021-09-22 20:00:51.971160 : Generate Batch
2021-09-22 20:00:52.296436 : Building dataset valid from orignial text documents
2021-09-22 20:00:52.993752 : Epoch  2, Batch     36, Loss  0.874614, Average Loss  0.878401, Time  0.413969
2021-09-22 20:00:53.618659 : Finish Loading dataset valid
2021-09-22 20:00:53.653691 : Data Shuffle
2021-09-22 20:00:53.682666 : Start Shuffling
2021-09-22 20:00:53.772212 : Finish Shuffling
2021-09-22 20:00:53.818202 : Generate Batch
2021-09-22 20:00:53.877145 : There are 787 batches per epoch
2021-09-22 20:00:53.907614 : Batch Shuffled
2021-09-22 20:00:56.004728 : Epoch  1, Batch      1, Loss  1.424535, Average Loss  1.424535, Time  0.476404
2021-09-22 20:00:57.882777 : Epoch  1, Batch      2, Loss  1.416669, Average Loss  1.420602, Time  0.253763
2021-09-22 20:00:57.945930 : Epoch  2, Batch     37, Loss  0.874831, Average Loss  0.878378, Time  0.414602
2021-09-22 20:00:59.755412 : Epoch  1, Batch      3, Loss  1.412862, Average Loss  1.418022, Time  0.254418
2021-09-22 20:01:01.644309 : Epoch  1, Batch      4, Loss  1.414832, Average Loss  1.417225, Time  0.255348
2021-09-22 20:01:02.918880 : Epoch  2, Batch     38, Loss  0.888143, Average Loss  0.878382, Time  0.414061
2021-09-22 20:01:03.536281 : Epoch  1, Batch      5, Loss  1.416808, Average Loss  1.417141, Time  0.255889
2021-09-22 20:01:05.434538 : Epoch  1, Batch      6, Loss  1.408111, Average Loss  1.415636, Time  0.255890
2021-09-22 20:01:07.332030 : Epoch  1, Batch      7, Loss  1.392029, Average Loss  1.412264, Time  0.259704
2021-09-22 20:01:07.934990 : Epoch  2, Batch     39, Loss  0.869229, Average Loss  0.878309, Time  0.463976
2021-09-22 20:01:09.211742 : Epoch  1, Batch      8, Loss  1.382102, Average Loss  1.408494, Time  0.253946
2021-09-22 20:01:11.111617 : Epoch  1, Batch      9, Loss  1.368486, Average Loss  1.404048, Time  0.254066
2021-09-22 20:01:12.939028 : Epoch  2, Batch     40, Loss  0.878258, Average Loss  0.878357, Time  0.414632
2021-09-22 20:01:12.992996 : Epoch  1, Batch     10, Loss  1.354821, Average Loss  1.399126, Time  0.254492
2021-09-22 20:01:14.881096 : Epoch  1, Batch     11, Loss  1.340077, Average Loss  1.393757, Time  0.254000
2021-09-22 20:01:16.771653 : Epoch  1, Batch     12, Loss  1.315782, Average Loss  1.387260, Time  0.256047
2021-09-22 20:01:17.941918 : Epoch  2, Batch     41, Loss  0.874756, Average Loss  0.878270, Time  0.415457
2021-09-22 20:01:18.664724 : Epoch  1, Batch     13, Loss  1.301188, Average Loss  1.380639, Time  0.254469
2021-09-22 20:01:20.551332 : Epoch  1, Batch     14, Loss  1.274148, Average Loss  1.373032, Time  0.259277
2021-09-22 20:01:22.447512 : Epoch  1, Batch     15, Loss  1.267235, Average Loss  1.365979, Time  0.252717
2021-09-22 20:01:22.941955 : Epoch  2, Batch     42, Loss  0.875532, Average Loss  0.878234, Time  0.414050
2021-09-22 20:01:24.338253 : Epoch  1, Batch     16, Loss  1.238998, Average Loss  1.358043, Time  0.253930
2021-09-22 20:01:26.229669 : Epoch  1, Batch     17, Loss  1.219177, Average Loss  1.349874, Time  0.256224
2021-09-22 20:01:27.895905 : Epoch  2, Batch     43, Loss  0.870754, Average Loss  0.878159, Time  0.413627
2021-09-22 20:01:28.121168 : Epoch  1, Batch     18, Loss  1.195051, Average Loss  1.341273, Time  0.253293
2021-09-22 20:01:30.002525 : Epoch  1, Batch     19, Loss  1.179466, Average Loss  1.332757, Time  0.256981
2021-09-22 20:01:31.878354 : Epoch  1, Batch     20, Loss  1.165297, Average Loss  1.324384, Time  0.253714
2021-09-22 20:01:32.867861 : Epoch  2, Batch     44, Loss  0.873307, Average Loss  0.878053, Time  0.413862
2021-09-22 20:01:33.761385 : Epoch  1, Batch     21, Loss  1.146512, Average Loss  1.315914, Time  0.260298
2021-09-22 20:01:35.640896 : Epoch  1, Batch     22, Loss  1.128372, Average Loss  1.307389, Time  0.253555
2021-09-22 20:01:37.521379 : Epoch  1, Batch     23, Loss  1.115571, Average Loss  1.299049, Time  0.255340
2021-09-22 20:01:37.835889 : Epoch  2, Batch     45, Loss  0.860440, Average Loss  0.877965, Time  0.413411
2021-09-22 20:01:39.405307 : Epoch  1, Batch     24, Loss  1.093414, Average Loss  1.290481, Time  0.253992
2021-09-22 20:01:41.294360 : Epoch  1, Batch     25, Loss  1.086450, Average Loss  1.282320, Time  0.255862
2021-09-22 20:01:42.824130 : Epoch  2, Batch     46, Loss  0.879403, Average Loss  0.878009, Time  0.415355
2021-09-22 20:01:43.182378 : Epoch  1, Batch     26, Loss  1.068952, Average Loss  1.274113, Time  0.260379
2021-09-22 20:01:45.069536 : Epoch  1, Batch     27, Loss  1.057565, Average Loss  1.266093, Time  0.257009
2021-09-22 20:01:46.962265 : Epoch  1, Batch     28, Loss  1.045704, Average Loss  1.258222, Time  0.256014
2021-09-22 20:01:47.831834 : Epoch  2, Batch     47, Loss  0.889321, Average Loss  0.878077, Time  0.414263
2021-09-22 20:01:48.852482 : Epoch  1, Batch     29, Loss  1.043687, Average Loss  1.250824, Time  0.255189
2021-09-22 20:01:50.741769 : Epoch  1, Batch     30, Loss  1.029141, Average Loss  1.243435, Time  0.254037
2021-09-22 20:01:52.627271 : Epoch  1, Batch     31, Loss  1.018627, Average Loss  1.236183, Time  0.253374
2021-09-22 20:01:52.860805 : Epoch  2, Batch     48, Loss  0.885635, Average Loss  0.878115, Time  0.456181
2021-09-22 20:01:54.507266 : Epoch  1, Batch     32, Loss  1.012776, Average Loss  1.229201, Time  0.254556
2021-09-22 20:01:56.391137 : Epoch  1, Batch     33, Loss  1.007406, Average Loss  1.222480, Time  0.255286
2021-09-22 20:01:57.805381 : Epoch  2, Batch     49, Loss  0.868678, Average Loss  0.878088, Time  0.414481
2021-09-22 20:01:58.277673 : Epoch  1, Batch     34, Loss  1.000526, Average Loss  1.215952, Time  0.253121
2021-09-22 20:02:00.158984 : Epoch  1, Batch     35, Loss  0.992945, Average Loss  1.209581, Time  0.256143
2021-09-22 20:02:02.039209 : Epoch  1, Batch     36, Loss  0.993589, Average Loss  1.203581, Time  0.254448
2021-09-22 20:02:02.782882 : Epoch  2, Batch     50, Loss  0.880026, Average Loss  0.878143, Time  0.414591
2021-09-22 20:02:03.921484 : Epoch  1, Batch     37, Loss  0.986849, Average Loss  1.197723, Time  0.254293
2021-09-22 20:02:05.806879 : Epoch  1, Batch     38, Loss  0.982332, Average Loss  1.192055, Time  0.253896
2021-09-22 20:02:07.691892 : Epoch  1, Batch     39, Loss  0.984827, Average Loss  1.186742, Time  0.255700
2021-09-22 20:02:07.758099 : Epoch  2, Batch     51, Loss  0.863187, Average Loss  0.878014, Time  0.413894
2021-09-22 20:02:09.568021 : Epoch  1, Batch     40, Loss  0.976709, Average Loss  1.181491, Time  0.255801
2021-09-22 20:02:11.495859 : Epoch  1, Batch     41, Loss  0.979209, Average Loss  1.176557, Time  0.282160
2021-09-22 20:02:12.740923 : Epoch  2, Batch     52, Loss  0.882550, Average Loss  0.878022, Time  0.414820
2021-09-22 20:02:12.926215 : Building dataset train from orignial text documents
2021-09-22 20:02:13.402981 : Epoch  1, Batch     42, Loss  0.985254, Average Loss  1.172002, Time  0.256479
2021-09-22 20:02:15.283427 : Epoch  1, Batch     43, Loss  0.962446, Average Loss  1.167129, Time  0.255015
2021-09-22 20:02:17.218804 : Epoch  1, Batch     44, Loss  0.970226, Average Loss  1.162654, Time  0.259608
2021-09-22 20:02:17.739037 : Epoch  2, Batch     53, Loss  0.868728, Average Loss  0.877936, Time  0.415996
2021-09-22 20:02:19.131626 : Epoch  1, Batch     45, Loss  0.960940, Average Loss  1.158171, Time  0.253688
2021-09-22 20:02:21.009931 : Epoch  1, Batch     46, Loss  0.963607, Average Loss  1.153942, Time  0.253694
2021-09-22 20:02:22.811254 : Epoch  2, Batch     54, Loss  0.871865, Average Loss  0.877908, Time  0.413832
2021-09-22 20:02:22.901029 : Epoch  1, Batch     47, Loss  0.960630, Average Loss  1.149829, Time  0.254079
2021-09-22 20:02:24.776663 : Epoch  1, Batch     48, Loss  0.963624, Average Loss  1.145949, Time  0.253789
2021-09-22 20:02:26.659580 : Epoch  1, Batch     49, Loss  0.964546, Average Loss  1.142247, Time  0.258864
2021-09-22 20:02:27.840764 : Epoch  2, Batch     55, Loss  0.879925, Average Loss  0.877893, Time  0.414096
2021-09-22 20:02:28.545487 : Epoch  1, Batch     50, Loss  0.965705, Average Loss  1.138716, Time  0.254036
2021-09-22 20:02:30.449559 : Epoch  1, Batch     51, Loss  0.961295, Average Loss  1.135237, Time  0.257220
2021-09-22 20:02:32.353108 : Epoch  1, Batch     52, Loss  0.962147, Average Loss  1.131909, Time  0.255919
2021-09-22 20:02:32.804896 : Epoch  2, Batch     56, Loss  0.867401, Average Loss  0.877772, Time  0.413888
2021-09-22 20:02:34.251444 : Epoch  1, Batch     53, Loss  0.960315, Average Loss  1.128671, Time  0.255861
2021-09-22 20:02:36.149938 : Epoch  1, Batch     54, Loss  0.956177, Average Loss  1.125477, Time  0.253987
2021-09-22 20:02:37.817632 : Epoch  2, Batch     57, Loss  0.881008, Average Loss  0.877810, Time  0.465282
2021-09-22 20:02:38.077074 : Epoch  1, Batch     55, Loss  0.958676, Average Loss  1.122444, Time  0.254228
2021-09-22 20:02:39.964613 : Epoch  1, Batch     56, Loss  0.957248, Average Loss  1.119494, Time  0.254883
2021-09-22 20:02:41.863506 : Epoch  1, Batch     57, Loss  0.953988, Average Loss  1.116591, Time  0.254182
2021-09-22 20:02:42.287955 : Finish Loading dataset train
2021-09-22 20:02:42.323284 : Data Shuffle
2021-09-22 20:02:42.357857 : Start Shuffling
2021-09-22 20:02:42.831896 : Epoch  2, Batch     58, Loss  0.876706, Average Loss  0.877800, Time  0.420230
2021-09-22 20:02:43.544102 : Finish Shuffling
2021-09-22 20:02:43.628368 : Generate Batch
2021-09-22 20:02:43.776414 : Epoch  1, Batch     58, Loss  0.960165, Average Loss  1.113894, Time  0.260846
2021-09-22 20:02:43.965665 : Building dataset valid from orignial text documents
2021-09-22 20:02:45.318648 : Finish Loading dataset valid
2021-09-22 20:02:45.357457 : Data Shuffle
2021-09-22 20:02:45.402653 : Start Shuffling
2021-09-22 20:02:45.501502 : Finish Shuffling
2021-09-22 20:02:45.541391 : Generate Batch
2021-09-22 20:02:45.600521 : There are 787 batches per epoch
2021-09-22 20:02:45.632279 : Batch Shuffled
2021-09-22 20:02:45.663403 : Epoch  1, Batch     59, Loss  0.957174, Average Loss  1.111237, Time  0.255080
2021-09-22 20:02:47.598741 : Epoch  1, Batch     60, Loss  0.957649, Average Loss  1.108677, Time  0.287440
2021-09-22 20:02:47.810875 : Epoch  2, Batch     59, Loss  0.878109, Average Loss  0.877788, Time  0.414875
2021-09-22 20:02:47.835297 : Epoch  1, Batch      1, Loss  1.204982, Average Loss  1.204982, Time  0.565969
2021-09-22 20:02:49.520045 : Epoch  1, Batch     61, Loss  0.957700, Average Loss  1.106202, Time  0.261133
2021-09-22 20:02:49.748926 : Epoch  1, Batch      2, Loss  1.220133, Average Loss  1.212557, Time  0.263843
2021-09-22 20:02:51.417988 : Epoch  1, Batch     62, Loss  0.945281, Average Loss  1.103607, Time  0.262487
2021-09-22 20:02:51.657861 : Epoch  1, Batch      3, Loss  1.216510, Average Loss  1.213875, Time  0.256823
2021-09-22 20:02:52.782789 : Epoch  2, Batch     60, Loss  0.877622, Average Loss  0.877799, Time  0.413948
2021-09-22 20:02:53.310697 : Epoch  1, Batch     63, Loss  0.956676, Average Loss  1.101275, Time  0.257015
2021-09-22 20:02:53.541595 : Epoch  1, Batch      4, Loss  1.215505, Average Loss  1.214283, Time  0.259171
2021-09-22 20:02:55.201708 : Epoch  1, Batch     64, Loss  0.953779, Average Loss  1.098970, Time  0.253461
2021-09-22 20:02:55.433227 : Epoch  1, Batch      5, Loss  1.209618, Average Loss  1.213350, Time  0.260167
2021-09-22 20:02:57.102469 : Epoch  1, Batch     65, Loss  0.950540, Average Loss  1.096687, Time  0.254574
2021-09-22 20:02:57.275239 : Epoch  1, Batch     66, Loss  0.946593, Average Loss  1.094412, Time  0.122502
2021-09-22 20:02:57.386953 : Epoch  1, Batch      6, Loss  1.204506, Average Loss  1.211876, Time  0.304589
2021-09-22 20:02:57.769794 : Epoch  2, Batch     61, Loss  0.884165, Average Loss  0.877807, Time  0.415353
2021-09-22 20:02:59.333858 : Epoch  1, Batch     67, Loss  0.951859, Average Loss  1.092285, Time  0.426386
2021-09-22 20:02:59.418288 : Epoch  1, Batch      7, Loss  1.191988, Average Loss  1.209035, Time  0.389270
2021-09-22 20:03:01.425404 : Epoch  1, Batch     68, Loss  0.955557, Average Loss  1.090274, Time  0.461486
2021-09-22 20:03:01.483870 : Epoch  1, Batch      8, Loss  1.193256, Average Loss  1.207062, Time  0.421192
2021-09-22 20:03:02.735806 : Epoch  2, Batch     62, Loss  0.878250, Average Loss  0.877847, Time  0.415262
2021-09-22 20:03:03.524454 : Epoch  1, Batch     69, Loss  0.951235, Average Loss  1.088259, Time  0.471110
2021-09-22 20:03:03.588131 : Epoch  1, Batch      9, Loss  1.191402, Average Loss  1.205322, Time  0.439286
2021-09-22 20:03:05.675307 : Epoch  1, Batch     70, Loss  0.953463, Average Loss  1.086333, Time  0.498721
2021-09-22 20:03:05.705432 : Epoch  1, Batch     10, Loss  1.184538, Average Loss  1.203244, Time  0.457976
2021-09-22 20:03:07.692804 : Epoch  2, Batch     63, Loss  0.889960, Average Loss  0.877830, Time  0.414396
2021-09-22 20:03:07.870069 : Epoch  1, Batch     11, Loss  1.174500, Average Loss  1.200631, Time  0.520883
2021-09-22 20:03:07.896949 : Epoch  1, Batch     71, Loss  0.952116, Average Loss  1.084443, Time  0.524214
2021-09-22 20:03:10.016956 : Epoch  1, Batch     12, Loss  1.164233, Average Loss  1.197598, Time  0.501673
2021-09-22 20:03:10.053961 : Epoch  1, Batch     72, Loss  0.948557, Average Loss  1.082556, Time  0.475052
2021-09-22 20:03:12.175267 : Epoch  1, Batch     13, Loss  1.143952, Average Loss  1.193471, Time  0.510453
2021-09-22 20:03:12.209097 : Epoch  1, Batch     73, Loss  0.951474, Average Loss  1.080760, Time  0.484659
2021-09-22 20:03:12.689721 : Epoch  2, Batch     64, Loss  0.876344, Average Loss  0.877805, Time  0.425764
2021-09-22 20:03:14.364732 : Epoch  1, Batch     14, Loss  1.140882, Average Loss  1.189715, Time  0.520802
2021-09-22 20:03:14.365195 : Epoch  1, Batch     74, Loss  0.952315, Average Loss  1.079024, Time  0.522433
2021-09-22 20:03:16.516698 : Epoch  1, Batch     15, Loss  1.126507, Average Loss  1.185501, Time  0.506784
2021-09-22 20:03:16.547852 : Epoch  1, Batch     75, Loss  0.950502, Average Loss  1.077311, Time  0.486302
2021-09-22 20:03:17.677949 : Epoch  2, Batch     65, Loss  0.894086, Average Loss  0.877833, Time  0.414997
2021-09-22 20:03:18.658819 : Epoch  1, Batch     16, Loss  1.109885, Average Loss  1.180775, Time  0.505777
2021-09-22 20:03:18.695553 : Epoch  1, Batch     76, Loss  0.954770, Average Loss  1.075698, Time  0.484997
2021-09-22 20:03:20.816865 : Epoch  1, Batch     17, Loss  1.095747, Average Loss  1.175773, Time  0.509848
2021-09-22 20:03:20.865630 : Epoch  1, Batch     77, Loss  0.956540, Average Loss  1.074151, Time  0.491009
2021-09-22 20:03:22.726294 : Epoch  2, Batch     66, Loss  0.871691, Average Loss  0.877743, Time  0.459355
2021-09-22 20:03:22.952554 : Epoch  1, Batch     18, Loss  1.085275, Average Loss  1.170746, Time  0.494717
2021-09-22 20:03:22.986348 : Epoch  1, Batch     78, Loss  0.956865, Average Loss  1.072647, Time  0.469310
2021-09-22 20:03:25.090821 : Epoch  1, Batch     19, Loss  1.076725, Average Loss  1.165797, Time  0.509979
2021-09-22 20:03:25.123795 : Epoch  1, Batch     79, Loss  0.951783, Average Loss  1.071117, Time  0.488328
2021-09-22 20:03:27.286979 : Epoch  1, Batch     80, Loss  0.955583, Average Loss  1.069673, Time  0.520045
2021-09-22 20:03:27.326021 : Epoch  1, Batch     20, Loss  1.070785, Average Loss  1.161047, Time  0.518258
2021-09-22 20:03:27.707859 : Epoch  2, Batch     67, Loss  0.874018, Average Loss  0.877665, Time  0.414822
2021-09-22 20:03:29.435437 : Epoch  1, Batch     81, Loss  0.951869, Average Loss  1.068219, Time  0.508819
2021-09-22 20:03:29.471274 : Epoch  1, Batch     21, Loss  1.061354, Average Loss  1.156299, Time  0.479462
2021-09-22 20:03:31.575774 : Epoch  1, Batch     82, Loss  0.951501, Average Loss  1.066795, Time  0.506611
2021-09-22 20:03:31.609153 : Epoch  1, Batch     22, Loss  1.042724, Average Loss  1.151137, Time  0.475055
2021-09-22 20:03:32.673296 : Epoch  2, Batch     68, Loss  0.876078, Average Loss  0.877651, Time  0.413501
2021-09-22 20:03:33.742228 : Epoch  1, Batch     83, Loss  0.948876, Average Loss  1.065375, Time  0.514380
2021-09-22 20:03:33.923541 : Epoch  1, Batch     23, Loss  1.042832, Average Loss  1.146428, Time  0.489462
2021-09-22 20:03:36.042886 : Epoch  1, Batch     84, Loss  0.948958, Average Loss  1.063989, Time  0.509715
2021-09-22 20:03:36.082093 : Epoch  1, Batch     24, Loss  1.034032, Average Loss  1.141745, Time  0.487487
2021-09-22 20:03:37.650748 : Epoch  2, Batch     69, Loss  0.878533, Average Loss  0.877647, Time  0.413481
2021-09-22 20:03:38.189253 : Epoch  1, Batch     85, Loss  0.954126, Average Loss  1.062696, Time  0.506473
2021-09-22 20:03:38.227408 : Epoch  1, Batch     25, Loss  1.023166, Average Loss  1.137002, Time  0.483839
2021-09-22 20:03:40.331901 : Epoch  1, Batch     86, Loss  0.943834, Average Loss  1.061314, Time  0.506335
2021-09-22 20:03:40.369977 : Epoch  1, Batch     26, Loss  1.010423, Average Loss  1.132133, Time  0.471925
2021-09-22 20:03:42.481472 : Epoch  1, Batch     87, Loss  0.947032, Average Loss  1.060000, Time  0.509265
2021-09-22 20:03:42.519413 : Epoch  1, Batch     27, Loss  1.014458, Average Loss  1.127775, Time  0.478386
2021-09-22 20:03:42.632875 : Epoch  2, Batch     70, Loss  0.864883, Average Loss  0.877552, Time  0.421120
2021-09-22 20:03:44.623408 : Epoch  1, Batch     88, Loss  0.954906, Average Loss  1.058806, Time  0.503910
2021-09-22 20:03:44.657904 : Epoch  1, Batch     28, Loss  1.006800, Average Loss  1.123454, Time  0.468165
2021-09-22 20:03:46.753173 : Epoch  1, Batch     89, Loss  0.953511, Average Loss  1.057623, Time  0.499036
2021-09-22 20:03:46.787791 : Epoch  1, Batch     29, Loss  0.995989, Average Loss  1.119059, Time  0.468958
2021-09-22 20:03:47.603975 : Epoch  2, Batch     71, Loss  0.881908, Average Loss  0.877572, Time  0.414915
2021-09-22 20:03:48.903310 : Epoch  1, Batch     90, Loss  0.949840, Average Loss  1.056425, Time  0.505120
2021-09-22 20:03:48.948082 : Epoch  1, Batch     30, Loss  0.989928, Average Loss  1.114755, Time  0.480225
2021-09-22 20:03:51.053271 : Epoch  1, Batch     91, Loss  0.949078, Average Loss  1.055246, Time  0.501226
2021-09-22 20:03:51.087598 : Epoch  1, Batch     31, Loss  0.992222, Average Loss  1.110802, Time  0.467849
2021-09-22 20:03:53.205197 : Epoch  1, Batch     92, Loss  0.947474, Average Loss  1.054074, Time  0.510571
2021-09-22 20:03:53.243352 : Epoch  1, Batch     32, Loss  0.983804, Average Loss  1.106833, Time  0.487567
2021-09-22 20:03:55.373580 : Epoch  1, Batch     93, Loss  0.947855, Average Loss  1.052932, Time  0.514404
2021-09-22 20:03:55.404766 : Epoch  1, Batch     33, Loss  0.984871, Average Loss  1.103137, Time  0.476612
2021-09-22 20:03:57.503613 : Epoch  1, Batch     94, Loss  0.943762, Average Loss  1.051771, Time  0.496593
2021-09-22 20:03:57.536309 : Epoch  1, Batch     34, Loss  0.980755, Average Loss  1.099538, Time  0.455657
2021-09-22 20:03:59.634354 : Epoch  1, Batch     95, Loss  0.948524, Average Loss  1.050684, Time  0.506292
2021-09-22 20:03:59.676180 : Epoch  1, Batch     35, Loss  0.970763, Average Loss  1.095859, Time  0.473544
2021-09-22 20:04:01.391811 : Epoch  2, Batch     72, Loss  0.868234, Average Loss  0.877540, Time  0.414142
2021-09-22 20:04:01.824055 : Epoch  1, Batch     96, Loss  0.943581, Average Loss  1.049568, Time  0.516933
2021-09-22 20:04:01.849990 : Epoch  1, Batch     36, Loss  0.977908, Average Loss  1.092582, Time  0.502562
2021-09-22 20:04:03.945239 : Epoch  1, Batch     97, Loss  0.942962, Average Loss  1.048469, Time  0.501482
2021-09-22 20:04:03.980527 : Epoch  1, Batch     37, Loss  0.972080, Average Loss  1.089325, Time  0.466113
2021-09-22 20:04:06.123135 : Epoch  1, Batch     98, Loss  0.941489, Average Loss  1.047378, Time  0.517912
2021-09-22 20:04:06.155140 : Epoch  1, Batch     38, Loss  0.966927, Average Loss  1.086104, Time  0.504987
2021-09-22 20:04:08.250025 : Epoch  1, Batch     99, Loss  0.943613, Average Loss  1.046330, Time  0.504620
2021-09-22 20:04:08.286570 : Epoch  1, Batch     39, Loss  0.968861, Average Loss  1.083098, Time  0.475305
2021-09-22 20:04:10.427390 : Epoch  1, Batch    100, Loss  0.942746, Average Loss  1.045294, Time  0.518003
2021-09-22 20:04:10.472915 : Epoch  1, Batch     40, Loss  0.964343, Average Loss  1.080129, Time  0.507881
2021-09-22 20:04:12.382673 : Epoch  1, Batch     41, Loss  0.961770, Average Loss  1.077242, Time  0.254026
2021-09-22 20:04:14.279915 : Epoch  1, Batch     42, Loss  0.964652, Average Loss  1.074562, Time  0.250917
2021-09-22 20:04:16.267457 : Epoch  1, Batch     43, Loss  0.955922, Average Loss  1.071803, Time  0.329548
2021-09-22 20:04:18.164256 : Epoch  1, Batch     44, Loss  0.960287, Average Loss  1.069268, Time  0.250013
2021-09-22 20:04:20.055430 : Epoch  1, Batch     45, Loss  0.958596, Average Loss  1.066809, Time  0.250533
2021-09-22 20:04:21.951016 : Epoch  1, Batch     46, Loss  0.959696, Average Loss  1.064480, Time  0.250947
2021-09-22 20:04:23.842848 : Epoch  1, Batch     47, Loss  0.959610, Average Loss  1.062249, Time  0.250072
2021-09-22 20:04:25.732230 : Epoch  1, Batch     48, Loss  0.957254, Average Loss  1.060062, Time  0.250578
2021-09-22 20:04:27.626090 : Epoch  1, Batch     49, Loss  0.955449, Average Loss  1.057927, Time  0.250760
2021-09-22 20:04:29.602553 : Epoch  1, Batch     50, Loss  0.953816, Average Loss  1.055844, Time  0.327258
2021-09-22 20:04:31.499823 : Epoch  1, Batch     51, Loss  0.953713, Average Loss  1.053842, Time  0.254626
2021-09-22 20:04:33.392166 : Epoch  1, Batch     52, Loss  0.956225, Average Loss  1.051965, Time  0.250857
2021-09-22 20:04:35.284976 : Epoch  1, Batch     53, Loss  0.955669, Average Loss  1.050148, Time  0.250350
2021-09-22 20:04:37.166876 : Epoch  1, Batch     54, Loss  0.952190, Average Loss  1.048334, Time  0.250523
2021-09-22 20:04:39.077110 : Epoch  1, Batch     55, Loss  0.952758, Average Loss  1.046596, Time  0.251274
2021-09-22 20:04:40.973908 : Epoch  1, Batch     56, Loss  0.958124, Average Loss  1.045016, Time  0.250958
2021-09-22 20:04:42.958889 : Epoch  1, Batch     57, Loss  0.947041, Average Loss  1.043297, Time  0.328643
2021-09-22 20:04:44.851468 : Epoch  1, Batch     58, Loss  0.953571, Average Loss  1.041750, Time  0.250889
2021-09-22 20:04:46.743306 : Epoch  1, Batch     59, Loss  0.946730, Average Loss  1.040140, Time  0.254466
2021-09-22 20:04:48.637656 : Epoch  1, Batch     60, Loss  0.948866, Average Loss  1.038618, Time  0.250086
2021-09-22 20:04:50.528623 : Epoch  1, Batch     61, Loss  0.950169, Average Loss  1.037169, Time  0.249903
2021-09-22 20:04:52.428822 : Epoch  1, Batch     62, Loss  0.947422, Average Loss  1.035721, Time  0.250826
2021-09-22 20:04:54.327889 : Epoch  1, Batch     63, Loss  0.949002, Average Loss  1.034344, Time  0.250494
2021-09-22 20:04:56.323912 : Epoch  1, Batch     64, Loss  0.947385, Average Loss  1.032986, Time  0.327252
2021-09-22 20:04:58.208531 : Epoch  1, Batch     65, Loss  0.951575, Average Loss  1.031733, Time  0.250863
2021-09-22 20:05:00.101770 : Epoch  1, Batch     66, Loss  0.945014, Average Loss  1.030419, Time  0.251084
2021-09-22 20:05:02.004682 : Epoch  1, Batch     67, Loss  0.950109, Average Loss  1.029221, Time  0.250766
2021-09-22 20:05:03.892902 : Epoch  1, Batch     68, Loss  0.944273, Average Loss  1.027971, Time  0.250396
2021-09-22 20:05:05.786358 : Epoch  1, Batch     69, Loss  0.947123, Average Loss  1.026800, Time  0.255264
2021-09-22 20:05:07.688287 : Epoch  1, Batch     70, Loss  0.949513, Average Loss  1.025696, Time  0.252714
2021-09-22 20:05:09.664763 : Epoch  1, Batch     71, Loss  0.950463, Average Loss  1.024636, Time  0.315711
2021-09-22 20:05:11.575772 : Epoch  1, Batch     72, Loss  0.943478, Average Loss  1.023509, Time  0.252795
2021-09-22 20:05:13.488501 : Epoch  1, Batch     73, Loss  0.947908, Average Loss  1.022473, Time  0.253519
2021-09-22 20:05:15.385906 : Epoch  1, Batch     74, Loss  0.943542, Average Loss  1.021407, Time  0.253476
2021-09-22 20:05:17.303241 : Epoch  1, Batch     75, Loss  0.949050, Average Loss  1.020442, Time  0.251877
2021-09-22 20:05:19.211470 : Epoch  1, Batch     76, Loss  0.944801, Average Loss  1.019447, Time  0.250650
2021-09-22 20:05:21.202363 : Epoch  1, Batch     77, Loss  0.943498, Average Loss  1.018460, Time  0.328209
2021-09-22 20:05:21.736990 : CheckPoint: Validation Loss  0.00039153, Best Loss  0.00039153
2021-09-22 20:05:21.780526 : Best Model Updated
2021-09-22 20:05:23.099929 : Epoch  1, Batch     78, Loss  0.955876, Average Loss  1.017658, Time  0.251831
2021-09-22 20:05:25.015351 : Epoch  1, Batch     79, Loss  0.943621, Average Loss  1.016721, Time  0.252069
2021-09-22 20:05:26.915906 : Epoch  1, Batch     80, Loss  0.943485, Average Loss  1.015805, Time  0.252903
2021-09-22 20:05:28.823680 : Epoch  1, Batch     81, Loss  0.940407, Average Loss  1.014874, Time  0.250824
2021-09-22 20:05:30.721332 : Epoch  1, Batch     82, Loss  0.939998, Average Loss  1.013961, Time  0.250326
2021-09-22 20:05:32.612483 : Epoch  1, Batch     83, Loss  0.947003, Average Loss  1.013155, Time  0.251779
2021-09-22 20:05:34.502753 : Epoch  1, Batch     84, Loss  0.941639, Average Loss  1.012303, Time  0.251590
2021-09-22 20:05:36.398680 : Epoch  1, Batch     85, Loss  0.942888, Average Loss  1.011487, Time  0.250906
2021-09-22 20:05:38.297927 : Epoch  1, Batch     86, Loss  0.943081, Average Loss  1.010691, Time  0.249817
2021-09-22 20:05:40.214774 : Epoch  1, Batch     87, Loss  0.944523, Average Loss  1.009931, Time  0.253267
2021-09-22 20:05:42.108805 : Epoch  1, Batch     88, Loss  0.943226, Average Loss  1.009173, Time  0.250656
2021-09-22 20:05:44.010841 : Epoch  1, Batch     89, Loss  0.946599, Average Loss  1.008469, Time  0.250652
2021-09-22 20:05:45.906981 : Epoch  1, Batch     90, Loss  0.942705, Average Loss  1.007739, Time  0.251033
2021-09-22 20:05:47.795706 : Epoch  1, Batch     91, Loss  0.945907, Average Loss  1.007059, Time  0.249953
2021-09-22 20:05:49.684914 : Epoch  1, Batch     92, Loss  0.938987, Average Loss  1.006319, Time  0.252807
2021-09-22 20:05:51.578613 : Epoch  1, Batch     93, Loss  0.943779, Average Loss  1.005647, Time  0.249684
2021-09-22 20:05:53.464228 : Epoch  1, Batch     94, Loss  0.938757, Average Loss  1.004935, Time  0.250179
2021-09-22 20:05:55.342770 : Epoch  1, Batch     95, Loss  0.932161, Average Loss  1.004169, Time  0.251514
2021-09-22 20:05:57.225728 : Epoch  1, Batch     96, Loss  0.933354, Average Loss  1.003432, Time  0.251214
2021-09-22 20:05:59.108286 : Epoch  1, Batch     97, Loss  0.932701, Average Loss  1.002702, Time  0.251662
2021-09-22 20:06:00.984147 : Epoch  1, Batch     98, Loss  0.937801, Average Loss  1.002040, Time  0.250903
2021-09-22 20:06:02.870269 : Epoch  1, Batch     99, Loss  0.929664, Average Loss  1.001309, Time  0.250762
2021-09-22 20:06:04.748343 : Epoch  1, Batch    100, Loss  0.932521, Average Loss  1.000621, Time  0.250321
2021-09-22 20:07:15.201355 : CheckPoint: Validation Loss  0.00037946, Best Loss  0.00037946
2021-09-22 20:07:15.245680 : Best Model Updated
2021-09-22 20:07:57.889121 : CheckPoint: Validation Loss  0.00014962, Best Loss  0.00014962
2021-09-22 20:07:57.911558 : Best Model Updated
2021-09-22 20:08:03.997050 : Epoch  2, Batch     73, Loss  0.885985, Average Loss  0.877560, Time  0.467960
2021-09-22 20:08:08.972975 : Epoch  2, Batch     74, Loss  0.875368, Average Loss  0.877580, Time  0.421456
2021-09-22 20:08:13.926977 : Epoch  2, Batch     75, Loss  0.888136, Average Loss  0.877615, Time  0.414402
2021-09-22 20:08:18.887287 : Epoch  2, Batch     76, Loss  0.862745, Average Loss  0.877599, Time  0.415585
2021-09-22 20:08:23.840830 : Epoch  2, Batch     77, Loss  0.873423, Average Loss  0.877632, Time  0.414124
2021-09-22 20:08:28.820908 : Epoch  2, Batch     78, Loss  0.884763, Average Loss  0.877605, Time  0.415548
2021-09-22 20:08:33.795821 : Epoch  2, Batch     79, Loss  0.870744, Average Loss  0.877582, Time  0.413858
2021-09-22 20:08:38.766136 : Epoch  2, Batch     80, Loss  0.868113, Average Loss  0.877487, Time  0.414174
2021-09-22 20:08:43.728922 : Epoch  2, Batch     81, Loss  0.862727, Average Loss  0.877359, Time  0.413647
2021-09-22 20:08:48.733574 : Epoch  2, Batch     82, Loss  0.877540, Average Loss  0.877488, Time  0.462765
2021-09-22 20:08:53.695920 : Epoch  2, Batch     83, Loss  0.872991, Average Loss  0.877485, Time  0.413408
2021-09-22 20:08:58.689068 : Epoch  2, Batch     84, Loss  0.870807, Average Loss  0.877440, Time  0.426330
2021-09-22 20:09:03.693946 : Epoch  2, Batch     85, Loss  0.860884, Average Loss  0.877406, Time  0.414630
2021-09-22 20:09:08.656305 : Epoch  2, Batch     86, Loss  0.883457, Average Loss  0.877391, Time  0.413535
2021-09-22 20:09:13.681087 : Epoch  2, Batch     87, Loss  0.863392, Average Loss  0.877362, Time  0.414705
2021-09-22 20:09:18.705140 : Epoch  2, Batch     88, Loss  0.862508, Average Loss  0.877255, Time  0.414035
2021-09-22 20:09:23.668789 : Epoch  2, Batch     89, Loss  0.879321, Average Loss  0.877271, Time  0.415124
2021-09-22 20:09:28.652065 : Epoch  2, Batch     90, Loss  0.870320, Average Loss  0.877216, Time  0.414948
2021-09-22 20:09:33.697936 : Epoch  2, Batch     91, Loss  0.883573, Average Loss  0.877335, Time  0.467554
2021-09-22 20:09:38.664790 : Epoch  2, Batch     92, Loss  0.883449, Average Loss  0.877318, Time  0.421675
2021-09-22 20:09:43.619827 : Epoch  2, Batch     93, Loss  0.870783, Average Loss  0.877317, Time  0.413908
2021-09-22 20:09:48.642834 : Epoch  2, Batch     94, Loss  0.889043, Average Loss  0.877233, Time  0.413648
2021-09-22 20:09:53.606812 : Epoch  2, Batch     95, Loss  0.882177, Average Loss  0.877180, Time  0.413554
2021-09-22 20:09:58.578906 : Epoch  2, Batch     96, Loss  0.884632, Average Loss  0.877123, Time  0.414582
2021-09-22 20:10:03.568898 : Epoch  2, Batch     97, Loss  0.874855, Average Loss  0.877052, Time  0.415931
2021-09-22 20:10:08.607545 : Epoch  2, Batch     98, Loss  0.869419, Average Loss  0.877049, Time  0.415068
2021-09-22 20:10:13.568786 : Epoch  2, Batch     99, Loss  0.863296, Average Loss  0.876930, Time  0.414265
2021-09-22 20:10:18.573956 : Epoch  2, Batch    100, Loss  0.876087, Average Loss  0.876844, Time  0.462448
2021-09-22 20:10:23.544977 : Epoch  2, Batch    101, Loss  0.875770, Average Loss  0.876850, Time  0.414309
2021-09-22 20:10:28.507003 : Epoch  2, Batch    102, Loss  0.901910, Average Loss  0.876967, Time  0.414636
2021-09-22 20:10:33.478776 : Epoch  2, Batch    103, Loss  0.894267, Average Loss  0.877135, Time  0.414244
2021-09-22 20:10:38.466134 : Epoch  2, Batch    104, Loss  0.883715, Average Loss  0.877020, Time  0.413771
2021-09-22 20:10:43.480925 : Epoch  2, Batch    105, Loss  0.874937, Average Loss  0.877023, Time  0.414506
2021-09-22 20:10:48.442784 : Epoch  2, Batch    106, Loss  0.872648, Average Loss  0.877012, Time  0.414684
2021-09-22 20:10:53.424742 : Epoch  2, Batch    107, Loss  0.868640, Average Loss  0.876968, Time  0.413701
2021-09-22 20:10:58.374949 : Epoch  2, Batch    108, Loss  0.889685, Average Loss  0.876959, Time  0.413651
2021-09-22 20:11:03.375971 : Epoch  2, Batch    109, Loss  0.871717, Average Loss  0.876948, Time  0.414295
2021-09-22 20:11:08.378734 : Epoch  2, Batch    110, Loss  0.894757, Average Loss  0.876985, Time  0.453695
2021-09-22 20:11:13.324983 : Epoch  2, Batch    111, Loss  0.881216, Average Loss  0.877032, Time  0.414471
2021-09-22 20:11:18.276909 : Epoch  2, Batch    112, Loss  0.877277, Average Loss  0.877068, Time  0.414514
2021-09-22 20:11:23.228901 : Epoch  2, Batch    113, Loss  0.871418, Average Loss  0.877014, Time  0.413546
2021-09-22 20:11:28.182960 : Epoch  2, Batch    114, Loss  0.864925, Average Loss  0.877010, Time  0.415015
2021-09-22 20:11:33.133103 : Epoch  2, Batch    115, Loss  0.862640, Average Loss  0.876895, Time  0.413923
2021-09-22 20:11:38.137765 : Epoch  2, Batch    116, Loss  0.871606, Average Loss  0.876821, Time  0.415580
2021-09-22 20:11:43.098031 : Epoch  2, Batch    117, Loss  0.866612, Average Loss  0.876796, Time  0.413659
2021-09-22 20:11:48.083849 : Epoch  2, Batch    118, Loss  0.886241, Average Loss  0.876882, Time  0.413244
2021-09-22 20:11:53.087854 : Epoch  2, Batch    119, Loss  0.874893, Average Loss  0.876865, Time  0.461910
2021-09-22 20:11:58.036464 : Epoch  2, Batch    120, Loss  0.879890, Average Loss  0.876931, Time  0.413565
2021-09-22 20:12:02.987744 : Epoch  2, Batch    121, Loss  0.874045, Average Loss  0.876970, Time  0.413482
2021-09-22 20:12:07.934861 : Epoch  2, Batch    122, Loss  0.884906, Average Loss  0.876963, Time  0.413506
2021-09-22 20:12:12.909857 : Epoch  2, Batch    123, Loss  0.870304, Average Loss  0.876971, Time  0.415842
2021-09-22 20:12:17.909015 : Epoch  2, Batch    124, Loss  0.895399, Average Loss  0.877115, Time  0.413911
2021-09-22 20:12:22.887813 : Epoch  2, Batch    125, Loss  0.884666, Average Loss  0.877086, Time  0.414265
2021-09-22 20:12:27.842996 : Epoch  2, Batch    126, Loss  0.873572, Average Loss  0.876999, Time  0.413572
2021-09-22 20:12:32.811993 : Epoch  2, Batch    127, Loss  0.860614, Average Loss  0.876995, Time  0.415223
2021-09-22 20:12:37.806073 : Epoch  2, Batch    128, Loss  0.864942, Average Loss  0.877009, Time  0.459634
2021-09-22 20:12:42.761933 : Epoch  2, Batch    129, Loss  0.870770, Average Loss  0.876956, Time  0.412877
2021-09-22 20:12:47.754017 : Epoch  2, Batch    130, Loss  0.854589, Average Loss  0.876839, Time  0.413324
2021-09-22 20:12:52.697720 : Epoch  2, Batch    131, Loss  0.874570, Average Loss  0.876879, Time  0.412918
2021-09-22 20:12:57.650935 : Epoch  2, Batch    132, Loss  0.857653, Average Loss  0.876826, Time  0.413381
2021-09-22 20:13:02.593786 : Epoch  2, Batch    133, Loss  0.867579, Average Loss  0.876713, Time  0.412962
2021-09-22 20:13:07.536978 : Epoch  2, Batch    134, Loss  0.871369, Average Loss  0.876661, Time  0.413065
2021-09-22 20:13:12.479963 : Epoch  2, Batch    135, Loss  0.890540, Average Loss  0.876732, Time  0.413188
2021-09-22 20:13:17.433815 : Epoch  2, Batch    136, Loss  0.869281, Average Loss  0.876643, Time  0.414258
2021-09-22 20:13:22.379798 : Epoch  2, Batch    137, Loss  0.872992, Average Loss  0.876627, Time  0.413402
2021-09-22 20:13:27.368193 : Epoch  2, Batch    138, Loss  0.885898, Average Loss  0.876724, Time  0.458209
2021-09-22 20:13:32.306767 : Epoch  2, Batch    139, Loss  0.869490, Average Loss  0.876614, Time  0.413423
2021-09-22 20:13:37.279002 : Epoch  2, Batch    140, Loss  0.877447, Average Loss  0.876639, Time  0.413876
2021-09-22 20:13:42.226770 : Epoch  2, Batch    141, Loss  0.885835, Average Loss  0.876663, Time  0.412928
2021-09-22 20:13:47.189024 : Epoch  2, Batch    142, Loss  0.865264, Average Loss  0.876577, Time  0.413255
2021-09-22 20:13:52.134892 : Epoch  2, Batch    143, Loss  0.877734, Average Loss  0.876526, Time  0.413079
2021-09-22 20:13:57.084748 : Epoch  2, Batch    144, Loss  0.869871, Average Loss  0.876512, Time  0.413080
2021-09-22 20:14:02.036974 : Epoch  2, Batch    145, Loss  0.877717, Average Loss  0.876537, Time  0.413656
2021-09-22 20:14:06.982994 : Epoch  2, Batch    146, Loss  0.883470, Average Loss  0.876568, Time  0.413043
2021-09-22 20:14:11.954871 : Epoch  2, Batch    147, Loss  0.880485, Average Loss  0.876520, Time  0.434761
2021-09-22 20:14:16.907590 : Epoch  2, Batch    148, Loss  0.884058, Average Loss  0.876445, Time  0.413311
2021-09-22 20:14:21.884836 : Epoch  2, Batch    149, Loss  0.865255, Average Loss  0.876357, Time  0.414580
2021-09-22 20:14:26.844042 : Epoch  2, Batch    150, Loss  0.868704, Average Loss  0.876277, Time  0.414064
2021-09-22 20:14:31.776753 : Epoch  2, Batch    151, Loss  0.871798, Average Loss  0.876266, Time  0.413575
2021-09-22 20:14:36.766900 : Epoch  2, Batch    152, Loss  0.871745, Average Loss  0.876247, Time  0.433900
2021-09-22 20:14:41.722052 : Epoch  2, Batch    153, Loss  0.878683, Average Loss  0.876324, Time  0.413414
2021-09-22 20:14:46.669969 : Epoch  2, Batch    154, Loss  0.873550, Average Loss  0.876359, Time  0.413104
2021-09-22 20:14:51.618960 : Epoch  2, Batch    155, Loss  0.890027, Average Loss  0.876463, Time  0.413385
2021-09-22 20:14:56.599871 : Epoch  2, Batch    156, Loss  0.875717, Average Loss  0.876510, Time  0.456465
2021-09-22 20:15:01.544989 : Epoch  2, Batch    157, Loss  0.869055, Average Loss  0.876421, Time  0.414478
2021-09-22 20:15:06.497757 : Epoch  2, Batch    158, Loss  0.878761, Average Loss  0.876426, Time  0.413185
2021-09-22 20:15:11.435887 : Epoch  2, Batch    159, Loss  0.879563, Average Loss  0.876351, Time  0.413043
2021-09-22 20:15:16.372556 : Epoch  2, Batch    160, Loss  0.873751, Average Loss  0.876230, Time  0.413215
2021-09-22 20:15:21.359976 : Epoch  2, Batch    161, Loss  0.882305, Average Loss  0.876249, Time  0.413410
2021-09-22 20:15:26.331785 : Epoch  2, Batch    162, Loss  0.874978, Average Loss  0.876243, Time  0.414437
2021-09-22 20:15:31.285822 : Epoch  2, Batch    163, Loss  0.876357, Average Loss  0.876259, Time  0.414174
2021-09-22 20:15:36.238762 : Epoch  2, Batch    164, Loss  0.878644, Average Loss  0.876264, Time  0.413671
2021-09-22 20:15:41.192760 : Epoch  2, Batch    165, Loss  0.890757, Average Loss  0.876296, Time  0.414212
2021-09-22 20:15:46.192769 : Epoch  2, Batch    166, Loss  0.885720, Average Loss  0.876254, Time  0.449584
2021-09-22 20:15:51.155790 : Epoch  2, Batch    167, Loss  0.873040, Average Loss  0.876174, Time  0.413404
2021-09-22 20:15:56.104351 : Epoch  2, Batch    168, Loss  0.878424, Average Loss  0.876210, Time  0.412943
2021-09-22 20:16:01.163769 : Epoch  2, Batch    169, Loss  0.874767, Average Loss  0.876166, Time  0.412953
2021-09-22 20:16:06.097915 : Epoch  2, Batch    170, Loss  0.868157, Average Loss  0.876134, Time  0.413243
2021-09-22 20:16:09.755752 : Epoch  2, Batch    171, Loss  0.874586, Average Loss  0.876154, Time  0.317301
2021-09-22 20:16:14.697636 : Epoch  2, Batch    172, Loss  0.875124, Average Loss  0.876166, Time  0.413260
2021-09-22 20:20:12.716765 : CheckPoint: Validation Loss  0.00015177, Best Loss  0.00014962
2021-09-22 20:20:17.719908 : Epoch  2, Batch    173, Loss  0.875466, Average Loss  0.876172, Time  0.416532
2021-09-22 20:20:22.710839 : Epoch  2, Batch    174, Loss  0.873230, Average Loss  0.876194, Time  0.415632
2021-09-22 20:20:27.786103 : Epoch  2, Batch    175, Loss  0.877411, Average Loss  0.876160, Time  0.464110
2021-09-22 20:20:32.791009 : Epoch  2, Batch    176, Loss  0.875530, Average Loss  0.876183, Time  0.414072
2021-09-22 20:20:37.826792 : Epoch  2, Batch    177, Loss  0.861916, Average Loss  0.876163, Time  0.414838
2021-09-22 20:20:42.833056 : Epoch  2, Batch    178, Loss  0.879951, Average Loss  0.876174, Time  0.414317
2021-09-22 20:20:47.895951 : Epoch  2, Batch    179, Loss  0.869170, Average Loss  0.876154, Time  0.416122
2021-09-22 20:20:52.887755 : Epoch  2, Batch    180, Loss  0.862760, Average Loss  0.876053, Time  0.414726
2021-09-22 20:20:57.939179 : Epoch  2, Batch    181, Loss  0.868665, Average Loss  0.876041, Time  0.415133
2021-09-22 20:21:02.961959 : Epoch  2, Batch    182, Loss  0.886960, Average Loss  0.876108, Time  0.413765
2021-09-22 20:21:07.984831 : Epoch  2, Batch    183, Loss  0.874008, Average Loss  0.876107, Time  0.419478
2021-09-22 20:21:13.020952 : Epoch  2, Batch    184, Loss  0.867215, Average Loss  0.875964, Time  0.458369
2021-09-22 20:21:18.031029 : Epoch  2, Batch    185, Loss  0.872590, Average Loss  0.876037, Time  0.417696
2021-09-22 20:21:23.009945 : Epoch  2, Batch    186, Loss  0.876158, Average Loss  0.876080, Time  0.413897
2021-09-22 20:21:28.041781 : Epoch  2, Batch    187, Loss  0.870135, Average Loss  0.876052, Time  0.418396
2021-09-22 20:21:33.038229 : Epoch  2, Batch    188, Loss  0.888523, Average Loss  0.876098, Time  0.413973
2021-09-22 20:21:38.088880 : Epoch  2, Batch    189, Loss  0.879186, Average Loss  0.876090, Time  0.414410
2021-09-22 20:21:43.075786 : Epoch  2, Batch    190, Loss  0.863466, Average Loss  0.875989, Time  0.414275
2021-09-22 20:21:48.080941 : Epoch  2, Batch    191, Loss  0.872716, Average Loss  0.875860, Time  0.413201
2021-09-22 20:21:53.098179 : Epoch  2, Batch    192, Loss  0.879842, Average Loss  0.875894, Time  0.413758
2021-09-22 20:21:58.099131 : Epoch  2, Batch    193, Loss  0.885269, Average Loss  0.875950, Time  0.435216
2021-09-22 20:22:03.080188 : Epoch  2, Batch    194, Loss  0.874636, Average Loss  0.875987, Time  0.413700
2021-09-22 20:22:08.084183 : Epoch  2, Batch    195, Loss  0.878015, Average Loss  0.876009, Time  0.413707
2021-09-22 20:22:13.097865 : Epoch  2, Batch    196, Loss  0.874839, Average Loss  0.876001, Time  0.414705
2021-09-22 20:22:18.179005 : Epoch  2, Batch    197, Loss  0.876935, Average Loss  0.876063, Time  0.415678
2021-09-22 20:22:23.258089 : Epoch  2, Batch    198, Loss  0.862844, Average Loss  0.876057, Time  0.414046
2021-09-22 20:22:28.231922 : Epoch  2, Batch    199, Loss  0.877760, Average Loss  0.876066, Time  0.413524
2021-09-22 20:22:33.247817 : Epoch  2, Batch    200, Loss  0.867471, Average Loss  0.875990, Time  0.414305
2021-09-22 20:22:38.247794 : Epoch  2, Batch    201, Loss  0.875453, Average Loss  0.875845, Time  0.414512
2021-09-22 20:22:43.259839 : Epoch  2, Batch    202, Loss  0.861594, Average Loss  0.875809, Time  0.450123
2021-09-22 20:22:48.258780 : Epoch  2, Batch    203, Loss  0.899244, Average Loss  0.875955, Time  0.423110
2021-09-22 20:22:53.273811 : Epoch  2, Batch    204, Loss  0.875859, Average Loss  0.875900, Time  0.413466
2021-09-22 20:22:58.248752 : Epoch  2, Batch    205, Loss  0.872143, Average Loss  0.875843, Time  0.413063
2021-09-22 20:23:03.238845 : Epoch  2, Batch    206, Loss  0.867651, Average Loss  0.875791, Time  0.413180
2021-09-22 20:23:08.220925 : Epoch  2, Batch    207, Loss  0.866037, Average Loss  0.875756, Time  0.413310
2021-09-22 20:23:13.251992 : Epoch  2, Batch    208, Loss  0.884834, Average Loss  0.875870, Time  0.413357
2021-09-22 20:23:18.235888 : Epoch  2, Batch    209, Loss  0.874747, Average Loss  0.875859, Time  0.414465
2021-09-22 20:23:23.220345 : Epoch  2, Batch    210, Loss  0.867431, Average Loss  0.875789, Time  0.413980
2021-09-22 20:23:28.379006 : Epoch  2, Batch    211, Loss  0.884786, Average Loss  0.875851, Time  0.459478
2021-09-22 20:23:33.365747 : Epoch  2, Batch    212, Loss  0.874464, Average Loss  0.875854, Time  0.413588
2021-09-22 20:23:38.356891 : Epoch  2, Batch    213, Loss  0.882520, Average Loss  0.875938, Time  0.413805
2021-09-22 20:23:43.411084 : Epoch  2, Batch    214, Loss  0.876851, Average Loss  0.875910, Time  0.413199
2021-09-22 20:23:48.457818 : Epoch  2, Batch    215, Loss  0.872690, Average Loss  0.875822, Time  0.413381
2021-09-22 20:23:53.491950 : Epoch  2, Batch    216, Loss  0.874685, Average Loss  0.875816, Time  0.414054
2021-09-22 20:23:58.456897 : Epoch  2, Batch    217, Loss  0.892702, Average Loss  0.875856, Time  0.412932
2021-09-22 20:24:03.488730 : Epoch  2, Batch    218, Loss  0.876451, Average Loss  0.875881, Time  0.413055
2021-09-22 20:24:08.478994 : Epoch  2, Batch    219, Loss  0.875750, Average Loss  0.875890, Time  0.413532
2021-09-22 20:24:13.504862 : Epoch  2, Batch    220, Loss  0.859687, Average Loss  0.875822, Time  0.456964
2021-09-22 20:24:18.529923 : Epoch  2, Batch    221, Loss  0.860020, Average Loss  0.875754, Time  0.413512
2021-09-22 20:24:23.515743 : Epoch  2, Batch    222, Loss  0.868679, Average Loss  0.875694, Time  0.414527
2021-09-22 20:24:28.523895 : Epoch  2, Batch    223, Loss  0.875627, Average Loss  0.875668, Time  0.414303
2021-09-22 20:24:33.512956 : Epoch  2, Batch    224, Loss  0.873647, Average Loss  0.875642, Time  0.413774
2021-09-22 20:24:38.528866 : Epoch  2, Batch    225, Loss  0.856440, Average Loss  0.875519, Time  0.414538
2021-09-22 20:24:43.504796 : Epoch  2, Batch    226, Loss  0.888196, Average Loss  0.875592, Time  0.413182
2021-09-22 20:24:48.531797 : Epoch  2, Batch    227, Loss  0.876867, Average Loss  0.875684, Time  0.413695
2021-09-22 20:24:53.516543 : Epoch  2, Batch    228, Loss  0.883429, Average Loss  0.875623, Time  0.413395
2021-09-22 20:24:58.511867 : Epoch  2, Batch    229, Loss  0.874865, Average Loss  0.875594, Time  0.438096
2021-09-22 20:25:03.532076 : Epoch  2, Batch    230, Loss  0.869140, Average Loss  0.875519, Time  0.413501
2021-09-22 20:25:08.529960 : Epoch  2, Batch    231, Loss  0.886990, Average Loss  0.875597, Time  0.413127
2021-09-22 20:25:13.514974 : Epoch  2, Batch    232, Loss  0.870726, Average Loss  0.875563, Time  0.412945
2021-09-22 20:25:18.588739 : Epoch  2, Batch    233, Loss  0.875687, Average Loss  0.875584, Time  0.414227
2021-09-22 20:25:23.633868 : Epoch  2, Batch    234, Loss  0.878175, Average Loss  0.875565, Time  0.414330
2021-09-22 20:25:28.613930 : Epoch  2, Batch    235, Loss  0.882057, Average Loss  0.875584, Time  0.413488
2021-09-22 20:25:33.651777 : Epoch  2, Batch    236, Loss  0.894658, Average Loss  0.875684, Time  0.414217
2021-09-22 20:25:38.637767 : Epoch  2, Batch    237, Loss  0.881716, Average Loss  0.875719, Time  0.416988
2021-09-22 20:25:43.672891 : Epoch  2, Batch    238, Loss  0.866600, Average Loss  0.875611, Time  0.455961
2021-09-22 20:25:48.731007 : Epoch  2, Batch    239, Loss  0.872295, Average Loss  0.875626, Time  0.430799
2021-09-22 20:25:53.726940 : Epoch  2, Batch    240, Loss  0.878522, Average Loss  0.875628, Time  0.413924
2021-09-22 20:25:58.734033 : Epoch  2, Batch    241, Loss  0.882187, Average Loss  0.875665, Time  0.421419
2021-09-22 20:26:03.726778 : Epoch  2, Batch    242, Loss  0.885270, Average Loss  0.875713, Time  0.413511
2021-09-22 20:26:08.725959 : Epoch  2, Batch    243, Loss  0.867261, Average Loss  0.875696, Time  0.413400
2021-09-22 20:26:13.710907 : Epoch  2, Batch    244, Loss  0.881422, Average Loss  0.875737, Time  0.413396
2021-09-22 20:26:18.681976 : Epoch  2, Batch    245, Loss  0.861717, Average Loss  0.875743, Time  0.413207
2021-09-22 20:26:23.729036 : Epoch  2, Batch    246, Loss  0.870831, Average Loss  0.875700, Time  0.414408
2021-09-22 20:26:28.802726 : Epoch  2, Batch    247, Loss  0.873994, Average Loss  0.875623, Time  0.466493
2021-09-22 20:26:33.778083 : Epoch  2, Batch    248, Loss  0.880603, Average Loss  0.875598, Time  0.421005
2021-09-22 20:26:38.841734 : Epoch  2, Batch    249, Loss  0.872812, Average Loss  0.875619, Time  0.413263
2021-09-22 20:26:43.890967 : Epoch  2, Batch    250, Loss  0.868871, Average Loss  0.875563, Time  0.414924
2021-09-22 20:26:48.929773 : Epoch  2, Batch    251, Loss  0.873402, Average Loss  0.875614, Time  0.413543
2021-09-22 20:26:53.910766 : Epoch  2, Batch    252, Loss  0.867001, Average Loss  0.875536, Time  0.413265
2021-09-22 20:26:58.905733 : Epoch  2, Batch    253, Loss  0.855677, Average Loss  0.875471, Time  0.414199
2021-09-22 20:27:03.881963 : Epoch  2, Batch    254, Loss  0.873783, Average Loss  0.875481, Time  0.413363
2021-09-22 20:27:08.863900 : Epoch  2, Batch    255, Loss  0.869687, Average Loss  0.875430, Time  0.413044
2021-09-22 20:27:13.928788 : Epoch  2, Batch    256, Loss  0.880061, Average Loss  0.875493, Time  0.453125
2021-09-22 20:27:18.905869 : Epoch  2, Batch    257, Loss  0.877196, Average Loss  0.875474, Time  0.413287
2021-09-22 20:27:23.949005 : Epoch  2, Batch    258, Loss  0.875741, Average Loss  0.875469, Time  0.413090
2021-09-22 20:27:29.063769 : Epoch  2, Batch    259, Loss  0.875335, Average Loss  0.875455, Time  0.414893
2021-09-22 20:27:34.124437 : Epoch  2, Batch    260, Loss  0.868249, Average Loss  0.875408, Time  0.414029
2021-09-22 20:27:39.234872 : Epoch  2, Batch    261, Loss  0.876754, Average Loss  0.875371, Time  0.414240
2021-09-22 20:27:44.309774 : Epoch  2, Batch    262, Loss  0.865207, Average Loss  0.875306, Time  0.414312
2021-09-22 20:27:49.397770 : Epoch  2, Batch    263, Loss  0.882731, Average Loss  0.875270, Time  0.413598
2021-09-22 20:27:54.456944 : Epoch  2, Batch    264, Loss  0.888577, Average Loss  0.875331, Time  0.413359
2021-09-22 20:27:59.616061 : Epoch  2, Batch    265, Loss  0.889216, Average Loss  0.875307, Time  0.451816
2021-09-22 20:28:04.696955 : Epoch  2, Batch    266, Loss  0.882009, Average Loss  0.875358, Time  0.413569
2021-09-22 20:28:09.747979 : Epoch  2, Batch    267, Loss  0.881553, Average Loss  0.875396, Time  0.412853
2021-09-22 20:28:14.792857 : Epoch  2, Batch    268, Loss  0.881659, Average Loss  0.875424, Time  0.413241
2021-09-22 20:28:19.907762 : Epoch  2, Batch    269, Loss  0.879261, Average Loss  0.875428, Time  0.413903
2021-09-22 20:28:24.972816 : Epoch  2, Batch    270, Loss  0.892149, Average Loss  0.875564, Time  0.413368
2021-09-22 20:28:30.021879 : Epoch  2, Batch    271, Loss  0.871143, Average Loss  0.875510, Time  0.414201
2021-09-22 20:28:35.141822 : Epoch  2, Batch    272, Loss  0.864721, Average Loss  0.875492, Time  0.414135
2021-09-22 20:29:10.649811 : Building dataset train from orignial text documents
2021-09-22 20:29:40.642990 : Finish Loading dataset train
2021-09-22 20:29:40.663841 : Data Shuffle
2021-09-22 20:29:40.685033 : Start Shuffling
2021-09-22 20:29:41.847700 : Finish Shuffling
2021-09-22 20:29:41.962619 : Generate Batch
2021-09-22 20:29:42.295612 : Building dataset valid from orignial text documents
2021-09-22 20:29:43.606481 : Finish Loading dataset valid
2021-09-22 20:29:43.641653 : Data Shuffle
2021-09-22 20:29:43.674688 : Start Shuffling
2021-09-22 20:29:43.761241 : Finish Shuffling
2021-09-22 20:29:43.800798 : Generate Batch
2021-09-22 20:29:43.865642 : There are 787 batches per epoch
2021-09-22 20:29:43.900126 : Batch Shuffled
2021-09-22 20:29:45.967642 : Epoch  1, Batch      1, Loss  1.144814, Average Loss  1.144814, Time  0.467816
2021-09-22 20:29:47.845909 : Epoch  1, Batch      2, Loss  1.146127, Average Loss  1.145471, Time  0.251043
2021-09-22 20:29:49.710455 : Epoch  1, Batch      3, Loss  1.144740, Average Loss  1.145227, Time  0.252837
2021-09-22 20:29:51.567190 : Epoch  1, Batch      4, Loss  1.128693, Average Loss  1.141093, Time  0.249244
2021-09-22 20:29:53.501712 : Epoch  1, Batch      5, Loss  1.136417, Average Loss  1.140158, Time  0.250889
2021-09-22 20:29:55.374229 : Epoch  1, Batch      6, Loss  1.138207, Average Loss  1.139833, Time  0.253785
2021-09-22 20:29:57.266770 : Epoch  1, Batch      7, Loss  1.124647, Average Loss  1.137664, Time  0.251326
2021-09-22 20:29:59.135567 : Epoch  1, Batch      8, Loss  1.126336, Average Loss  1.136248, Time  0.252223
2021-09-22 20:30:01.026696 : Epoch  1, Batch      9, Loss  1.119991, Average Loss  1.134441, Time  0.268458
2021-09-22 20:30:01.784795 : Building dataset train from orignial text documents
2021-09-22 20:30:02.920170 : Epoch  1, Batch     10, Loss  1.120929, Average Loss  1.133090, Time  0.251129
2021-09-22 20:30:04.794911 : Epoch  1, Batch     11, Loss  1.111820, Average Loss  1.131157, Time  0.249959
2021-09-22 20:30:06.675941 : Epoch  1, Batch     12, Loss  1.098512, Average Loss  1.128436, Time  0.251104
2021-09-22 20:30:08.551860 : Epoch  1, Batch     13, Loss  1.086524, Average Loss  1.125212, Time  0.249988
2021-09-22 20:30:10.424464 : Epoch  1, Batch     14, Loss  1.078565, Average Loss  1.121880, Time  0.250719
2021-09-22 20:30:12.307737 : Epoch  1, Batch     15, Loss  1.077799, Average Loss  1.118941, Time  0.250805
2021-09-22 20:30:14.203352 : Epoch  1, Batch     16, Loss  1.056061, Average Loss  1.115011, Time  0.251151
2021-09-22 20:30:16.077116 : Epoch  1, Batch     17, Loss  1.058795, Average Loss  1.111705, Time  0.251538
2021-09-22 20:30:17.960747 : Epoch  1, Batch     18, Loss  1.043188, Average Loss  1.107898, Time  0.250209
2021-09-22 20:30:19.844211 : Epoch  1, Batch     19, Loss  1.036599, Average Loss  1.104146, Time  0.251299
2021-09-22 20:30:21.755639 : Epoch  1, Batch     20, Loss  1.040520, Average Loss  1.100964, Time  0.256131
2021-09-22 20:30:23.633824 : Epoch  1, Batch     21, Loss  1.027857, Average Loss  1.097483, Time  0.252787
2021-09-22 20:30:25.515377 : Epoch  1, Batch     22, Loss  1.022815, Average Loss  1.094089, Time  0.250437
2021-09-22 20:30:27.396118 : Epoch  1, Batch     23, Loss  1.019667, Average Loss  1.090853, Time  0.250271
2021-09-22 20:30:29.272010 : Epoch  1, Batch     24, Loss  1.006806, Average Loss  1.087351, Time  0.259363
2021-09-22 20:30:31.152386 : Epoch  1, Batch     25, Loss  1.003179, Average Loss  1.083984, Time  0.257204
2021-09-22 20:30:31.239111 : Finish Loading dataset train
2021-09-22 20:30:31.287000 : Data Shuffle
2021-09-22 20:30:31.339186 : Start Shuffling
2021-09-22 20:30:32.522694 : Finish Shuffling
2021-09-22 20:30:32.611010 : Generate Batch
2021-09-22 20:30:32.955705 : Building dataset valid from orignial text documents
2021-09-22 20:30:33.024429 : Epoch  1, Batch     26, Loss  0.993572, Average Loss  1.080507, Time  0.251422
2021-09-22 20:30:34.315996 : Finish Loading dataset valid
2021-09-22 20:30:34.353702 : Data Shuffle
2021-09-22 20:30:34.390481 : Start Shuffling
2021-09-22 20:30:34.472082 : Finish Shuffling
2021-09-22 20:30:34.509007 : Generate Batch
2021-09-22 20:30:34.577306 : There are 787 batches per epoch
2021-09-22 20:30:34.615018 : Batch Shuffled
2021-09-22 20:30:34.893705 : Epoch  1, Batch     27, Loss  0.990706, Average Loss  1.077181, Time  0.250809
2021-09-22 20:30:36.986981 : Epoch  1, Batch     28, Loss  0.987134, Average Loss  1.073965, Time  0.470491
2021-09-22 20:30:37.024799 : Epoch  1, Batch      1, Loss  1.260787, Average Loss  1.260787, Time  0.719159
2021-09-22 20:30:39.093359 : Epoch  1, Batch     29, Loss  0.983512, Average Loss  1.070846, Time  0.491262
2021-09-22 20:30:39.125905 : Epoch  1, Batch      2, Loss  1.263914, Average Loss  1.262350, Time  0.463275
2021-09-22 20:30:41.199591 : Epoch  1, Batch     30, Loss  0.987357, Average Loss  1.068063, Time  0.492296
2021-09-22 20:30:41.229529 : Epoch  1, Batch      3, Loss  1.253953, Average Loss  1.259551, Time  0.457406
2021-09-22 20:30:43.307101 : Epoch  1, Batch     31, Loss  0.981037, Average Loss  1.065256, Time  0.488977
2021-09-22 20:30:43.345956 : Epoch  1, Batch      4, Loss  1.259876, Average Loss  1.259632, Time  0.462793
2021-09-22 20:30:45.402340 : Epoch  1, Batch     32, Loss  0.976246, Average Loss  1.062474, Time  0.468620
2021-09-22 20:30:45.465490 : Epoch  1, Batch      5, Loss  1.248168, Average Loss  1.257340, Time  0.440317
2021-09-22 20:30:47.437112 : Epoch  1, Batch     33, Loss  0.975855, Average Loss  1.059849, Time  0.421934
2021-09-22 20:30:47.555015 : Epoch  1, Batch      6, Loss  1.248709, Average Loss  1.255901, Time  0.390775
2021-09-22 20:30:49.416592 : Epoch  1, Batch     34, Loss  0.969940, Average Loss  1.057205, Time  0.356286
2021-09-22 20:30:49.556448 : Epoch  1, Batch      7, Loss  1.238821, Average Loss  1.253461, Time  0.324298
2021-09-22 20:30:51.382815 : Epoch  1, Batch     35, Loss  0.971912, Average Loss  1.054768, Time  0.344027
2021-09-22 20:30:51.529027 : Epoch  1, Batch      8, Loss  1.228249, Average Loss  1.250310, Time  0.314421
2021-09-22 20:30:53.334003 : Epoch  1, Batch     36, Loss  0.965552, Average Loss  1.052290, Time  0.322812
2021-09-22 20:30:53.494625 : Epoch  1, Batch      9, Loss  1.223110, Average Loss  1.247287, Time  0.292947
2021-09-22 20:30:55.202461 : Epoch  1, Batch     37, Loss  0.964961, Average Loss  1.049930, Time  0.253652
2021-09-22 20:30:55.439089 : Epoch  1, Batch     10, Loss  1.210650, Average Loss  1.243624, Time  0.262648
2021-09-22 20:30:57.071001 : Epoch  1, Batch     38, Loss  0.963248, Average Loss  1.047648, Time  0.251124
2021-09-22 20:30:57.353983 : Epoch  1, Batch     11, Loss  1.193414, Average Loss  1.239059, Time  0.254611
2021-09-22 20:30:58.975990 : Epoch  1, Batch     39, Loss  0.963301, Average Loss  1.045486, Time  0.249940
2021-09-22 20:30:59.270743 : Epoch  1, Batch     12, Loss  1.181340, Average Loss  1.234249, Time  0.254584
2021-09-22 20:31:00.857291 : Epoch  1, Batch     40, Loss  0.966584, Average Loss  1.043513, Time  0.259302
2021-09-22 20:31:01.191514 : Epoch  1, Batch     13, Loss  1.173060, Average Loss  1.229542, Time  0.254821
2021-09-22 20:31:02.736285 : Epoch  1, Batch     41, Loss  0.955778, Average Loss  1.041373, Time  0.250612
2021-09-22 20:31:03.093877 : Epoch  1, Batch     14, Loss  1.163783, Average Loss  1.224845, Time  0.258428
2021-09-22 20:31:04.631527 : Epoch  1, Batch     42, Loss  0.961097, Average Loss  1.039462, Time  0.249307
2021-09-22 20:31:05.002840 : Epoch  1, Batch     15, Loss  1.148137, Average Loss  1.219731, Time  0.253487
2021-09-22 20:31:06.509165 : Epoch  1, Batch     43, Loss  0.960093, Average Loss  1.037616, Time  0.251226
2021-09-22 20:31:06.909367 : Epoch  1, Batch     16, Loss  1.134015, Average Loss  1.214374, Time  0.253989
2021-09-22 20:31:08.376095 : Epoch  1, Batch     44, Loss  0.951431, Average Loss  1.035657, Time  0.249496
2021-09-22 20:31:08.827773 : Epoch  1, Batch     17, Loss  1.122219, Average Loss  1.208953, Time  0.255672
2021-09-22 20:31:10.249297 : Epoch  1, Batch     45, Loss  0.955726, Average Loss  1.033881, Time  0.250351
2021-09-22 20:31:10.720217 : Epoch  1, Batch     18, Loss  1.104433, Average Loss  1.203147, Time  0.253736
2021-09-22 20:31:12.120859 : Epoch  1, Batch     46, Loss  0.957943, Average Loss  1.032230, Time  0.249165
2021-09-22 20:31:12.637226 : Epoch  1, Batch     19, Loss  1.097288, Average Loss  1.197575, Time  0.256970
2021-09-22 20:31:13.976470 : Epoch  1, Batch     47, Loss  0.956876, Average Loss  1.030627, Time  0.248681
2021-09-22 20:31:14.550409 : Epoch  1, Batch     20, Loss  1.083137, Average Loss  1.191853, Time  0.256896
2021-09-22 20:31:15.841553 : Epoch  1, Batch     48, Loss  0.957609, Average Loss  1.029106, Time  0.250605
2021-09-22 20:31:16.468419 : Epoch  1, Batch     21, Loss  1.072381, Average Loss  1.186164, Time  0.255598
2021-09-22 20:31:17.708890 : Epoch  1, Batch     49, Loss  0.952514, Average Loss  1.027543, Time  0.249990
2021-09-22 20:31:18.400378 : Epoch  1, Batch     22, Loss  1.064608, Average Loss  1.180639, Time  0.253503
2021-09-22 20:31:19.604183 : Epoch  1, Batch     50, Loss  0.955591, Average Loss  1.026104, Time  0.250952
2021-09-22 20:31:20.314756 : Epoch  1, Batch     23, Loss  1.053888, Average Loss  1.175128, Time  0.254323
2021-09-22 20:31:21.471924 : Epoch  1, Batch     51, Loss  0.954815, Average Loss  1.024706, Time  0.249916
2021-09-22 20:31:22.243534 : Epoch  1, Batch     24, Loss  1.047617, Average Loss  1.169815, Time  0.253731
2021-09-22 20:31:23.345809 : Epoch  1, Batch     52, Loss  0.950123, Average Loss  1.023272, Time  0.252652
2021-09-22 20:31:24.144880 : Epoch  1, Batch     25, Loss  1.027862, Average Loss  1.164137, Time  0.254277
2021-09-22 20:31:25.236283 : Epoch  1, Batch     53, Loss  0.954551, Average Loss  1.021975, Time  0.251026
2021-09-22 20:31:26.066108 : Epoch  1, Batch     26, Loss  1.029248, Average Loss  1.158949, Time  0.255115
2021-09-22 20:31:27.112178 : Epoch  1, Batch     54, Loss  0.947621, Average Loss  1.020598, Time  0.250107
2021-09-22 20:31:27.989974 : Epoch  1, Batch     27, Loss  1.019779, Average Loss  1.153794, Time  0.254529
2021-09-22 20:31:28.979253 : Epoch  1, Batch     55, Loss  0.952536, Average Loss  1.019361, Time  0.249841
2021-09-22 20:31:29.935390 : Epoch  1, Batch     28, Loss  1.017307, Average Loss  1.148920, Time  0.253921
2021-09-22 20:31:30.863933 : Epoch  1, Batch     56, Loss  0.952813, Average Loss  1.018172, Time  0.250818
2021-09-22 20:31:31.850310 : Epoch  1, Batch     29, Loss  1.015947, Average Loss  1.144334, Time  0.253175
2021-09-22 20:31:32.730969 : Epoch  1, Batch     57, Loss  0.952416, Average Loss  1.017019, Time  0.250446
2021-09-22 20:31:33.752985 : Epoch  1, Batch     30, Loss  1.004787, Average Loss  1.139683, Time  0.253724
2021-09-22 20:31:34.615891 : Epoch  1, Batch     58, Loss  0.951602, Average Loss  1.015891, Time  0.250401
2021-09-22 20:31:35.654356 : Epoch  1, Batch     31, Loss  1.004149, Average Loss  1.135311, Time  0.253784
2021-09-22 20:31:36.492636 : Epoch  1, Batch     59, Loss  0.940913, Average Loss  1.014620, Time  0.251104
2021-09-22 20:31:37.555855 : Epoch  1, Batch     32, Loss  0.999292, Average Loss  1.131060, Time  0.255688
2021-09-22 20:31:38.395022 : Epoch  1, Batch     60, Loss  0.951559, Average Loss  1.013569, Time  0.250673
2021-09-22 20:31:39.474596 : Epoch  1, Batch     33, Loss  0.986375, Average Loss  1.126676, Time  0.257575
2021-09-22 20:31:40.273774 : Epoch  1, Batch     61, Loss  0.945566, Average Loss  1.012454, Time  0.249976
2021-09-22 20:31:41.399930 : Epoch  1, Batch     34, Loss  0.978621, Average Loss  1.122321, Time  0.258581
2021-09-22 20:31:42.148235 : Epoch  1, Batch     62, Loss  0.946580, Average Loss  1.011392, Time  0.249568
2021-09-22 20:31:43.312050 : Epoch  1, Batch     35, Loss  0.989045, Average Loss  1.118513, Time  0.253825
2021-09-22 20:31:44.040514 : Epoch  1, Batch     63, Loss  0.945113, Average Loss  1.010340, Time  0.249634
2021-09-22 20:31:45.230649 : Epoch  1, Batch     36, Loss  0.978056, Average Loss  1.114612, Time  0.254381
2021-09-22 20:31:45.912290 : Epoch  1, Batch     64, Loss  0.947371, Average Loss  1.009356, Time  0.250559
2021-09-22 20:31:47.143444 : Epoch  1, Batch     37, Loss  0.983174, Average Loss  1.111059, Time  0.254300
2021-09-22 20:31:47.783517 : Epoch  1, Batch     65, Loss  0.944493, Average Loss  1.008358, Time  0.250252
2021-09-22 20:31:49.063892 : Epoch  1, Batch     38, Loss  0.977317, Average Loss  1.107540, Time  0.256055
2021-09-22 20:31:49.657870 : Epoch  1, Batch     66, Loss  0.945530, Average Loss  1.007406, Time  0.250102
2021-09-22 20:31:50.965566 : Epoch  1, Batch     39, Loss  0.974407, Average Loss  1.104126, Time  0.253558
2021-09-22 20:31:51.530816 : Epoch  1, Batch     67, Loss  0.936685, Average Loss  1.006350, Time  0.254421
2021-09-22 20:31:52.887693 : Epoch  1, Batch     40, Loss  0.973139, Average Loss  1.100852, Time  0.254149
2021-09-22 20:31:53.407254 : Epoch  1, Batch     68, Loss  0.943422, Average Loss  1.005425, Time  0.251519
2021-09-22 20:31:54.818017 : Epoch  1, Batch     41, Loss  0.969059, Average Loss  1.097637, Time  0.259279
2021-09-22 20:31:55.294191 : Epoch  1, Batch     69, Loss  0.943292, Average Loss  1.004524, Time  0.257168
2021-09-22 20:31:56.722217 : Epoch  1, Batch     42, Loss  0.966001, Average Loss  1.094503, Time  0.254887
2021-09-22 20:31:57.169114 : Epoch  1, Batch     70, Loss  0.944373, Average Loss  1.003665, Time  0.250364
2021-09-22 20:31:58.626833 : Epoch  1, Batch     43, Loss  0.965734, Average Loss  1.091508, Time  0.257299
2021-09-22 20:31:59.024352 : Epoch  1, Batch     71, Loss  0.943475, Average Loss  1.002817, Time  0.249401
2021-09-22 20:32:00.556072 : Epoch  1, Batch     44, Loss  0.964572, Average Loss  1.088623, Time  0.254095
2021-09-22 20:32:00.883734 : Epoch  1, Batch     72, Loss  0.941458, Average Loss  1.001965, Time  0.249961
2021-09-22 20:32:02.474483 : Epoch  1, Batch     45, Loss  0.960651, Average Loss  1.085780, Time  0.253583
2021-09-22 20:32:02.761309 : Epoch  1, Batch     73, Loss  0.939393, Average Loss  1.001108, Time  0.250673
2021-09-22 20:32:04.393641 : Epoch  1, Batch     46, Loss  0.962022, Average Loss  1.083089, Time  0.254648
2021-09-22 20:32:04.628917 : Epoch  1, Batch     74, Loss  0.942679, Average Loss  1.000318, Time  0.257151
2021-09-22 20:32:06.387344 : Epoch  1, Batch     47, Loss  0.960426, Average Loss  1.080479, Time  0.334175
2021-09-22 20:32:06.548121 : Epoch  1, Batch     75, Loss  0.935852, Average Loss  0.999459, Time  0.303992
2021-09-22 20:32:08.459618 : Epoch  1, Batch     48, Loss  0.962305, Average Loss  1.078017, Time  0.410192
2021-09-22 20:32:08.556474 : Epoch  1, Batch     76, Loss  0.937840, Average Loss  0.998648, Time  0.372302
2021-09-22 20:32:10.627951 : Epoch  1, Batch     49, Loss  0.957820, Average Loss  1.075564, Time  0.496831
2021-09-22 20:32:10.659399 : Epoch  1, Batch     77, Loss  0.936921, Average Loss  0.997846, Time  0.460416
2021-09-22 20:32:12.795823 : Epoch  1, Batch     78, Loss  0.935516, Average Loss  0.997047, Time  0.517181
2021-09-22 20:32:12.849814 : Epoch  1, Batch     50, Loss  0.955524, Average Loss  1.073164, Time  0.517817
2021-09-22 20:32:14.989529 : Epoch  1, Batch     79, Loss  0.930348, Average Loss  0.996203, Time  0.495270
2021-09-22 20:32:15.023052 : Epoch  1, Batch     51, Loss  0.960511, Average Loss  1.070955, Time  0.466401
2021-09-22 20:32:17.160456 : Epoch  1, Batch     80, Loss  0.929594, Average Loss  0.995370, Time  0.503133
2021-09-22 20:32:17.195866 : Epoch  1, Batch     52, Loss  0.953862, Average Loss  1.068703, Time  0.484028
2021-09-22 20:32:19.330399 : Epoch  1, Batch     81, Loss  0.923311, Average Loss  0.994481, Time  0.507219
2021-09-22 20:32:19.364902 : Epoch  1, Batch     53, Loss  0.962552, Average Loss  1.066700, Time  0.490125
2021-09-22 20:32:21.457576 : Epoch  1, Batch     82, Loss  0.928636, Average Loss  0.993678, Time  0.494848
2021-09-22 20:32:21.495895 : Epoch  1, Batch     54, Loss  0.953480, Average Loss  1.064603, Time  0.465238
2021-09-22 20:32:23.573079 : Epoch  1, Batch     83, Loss  0.914905, Average Loss  0.992729, Time  0.477731
2021-09-22 20:32:23.619131 : Epoch  1, Batch     55, Loss  0.956494, Average Loss  1.062638, Time  0.450085
2021-09-22 20:32:25.671533 : Epoch  1, Batch     84, Loss  0.924062, Average Loss  0.991911, Time  0.467050
2021-09-22 20:32:25.725324 : Epoch  1, Batch     56, Loss  0.958072, Average Loss  1.060770, Time  0.436199
2021-09-22 20:32:27.747682 : Epoch  1, Batch     85, Loss  0.912029, Average Loss  0.990971, Time  0.453738
2021-09-22 20:32:27.818266 : Epoch  1, Batch     57, Loss  0.959310, Average Loss  1.058990, Time  0.428341
2021-09-22 20:32:29.841020 : Epoch  1, Batch     86, Loss  0.905527, Average Loss  0.989978, Time  0.447973
2021-09-22 20:32:29.907161 : Epoch  1, Batch     58, Loss  0.952482, Average Loss  1.057154, Time  0.411929
2021-09-22 20:32:31.908036 : Epoch  1, Batch     87, Loss  0.892090, Average Loss  0.988853, Time  0.444423
2021-09-22 20:32:31.979015 : Epoch  1, Batch     59, Loss  0.949808, Average Loss  1.055335, Time  0.416503
2021-09-22 20:32:33.334061 : CheckPoint: Validation Loss  0.00014923, Best Loss  0.00014923
2021-09-22 20:32:33.371572 : Best Model Updated
2021-09-22 20:32:33.992499 : Epoch  1, Batch     88, Loss  0.883706, Average Loss  0.987658, Time  0.451742
2021-09-22 20:32:34.057137 : Epoch  1, Batch     60, Loss  0.953217, Average Loss  1.053633, Time  0.411804
2021-09-22 20:32:36.071501 : Epoch  1, Batch     89, Loss  0.863897, Average Loss  0.986267, Time  0.435423
2021-09-22 20:32:36.148852 : Epoch  1, Batch     61, Loss  0.952531, Average Loss  1.051975, Time  0.408092
2021-09-22 20:32:38.133901 : Epoch  1, Batch     90, Loss  0.849460, Average Loss  0.984747, Time  0.435589
2021-09-22 20:32:38.209882 : Epoch  1, Batch     62, Loss  0.946856, Average Loss  1.050280, Time  0.403403
2021-09-22 20:32:39.163853 : Epoch  2, Batch    273, Loss  0.868094, Average Loss  0.875403, Time  0.458851
2021-09-22 20:32:40.220228 : Epoch  1, Batch     91, Loss  0.840553, Average Loss  0.983163, Time  0.448740
2021-09-22 20:32:40.287318 : Epoch  1, Batch     63, Loss  0.951021, Average Loss  1.048704, Time  0.418431
2021-09-22 20:32:42.270034 : Epoch  1, Batch     92, Loss  0.844918, Average Loss  0.981660, Time  0.434739
2021-09-22 20:32:42.345441 : Epoch  1, Batch     64, Loss  0.952031, Average Loss  1.047194, Time  0.407060
2021-09-22 20:32:44.209968 : Epoch  2, Batch    274, Loss  0.876405, Average Loss  0.875408, Time  0.421704
2021-09-22 20:32:44.318284 : Epoch  1, Batch     93, Loss  0.842591, Average Loss  0.980165, Time  0.416648
2021-09-22 20:32:44.407343 : Epoch  1, Batch     65, Loss  0.953841, Average Loss  1.045758, Time  0.387595
2021-09-22 20:32:46.368927 : Epoch  1, Batch     94, Loss  0.838218, Average Loss  0.978655, Time  0.423513
2021-09-22 20:32:46.455670 : Epoch  1, Batch     66, Loss  0.953189, Average Loss  1.044355, Time  0.391834
2021-09-22 20:32:48.396371 : Epoch  1, Batch     95, Loss  0.851979, Average Loss  0.977321, Time  0.409788
2021-09-22 20:32:48.495455 : Epoch  1, Batch     67, Loss  0.954948, Average Loss  1.043021, Time  0.378902
2021-09-22 20:32:49.294725 : Epoch  2, Batch    275, Loss  0.882552, Average Loss  0.875380, Time  0.412971
2021-09-22 20:32:50.386438 : Epoch  1, Batch     96, Loss  0.845048, Average Loss  0.975943, Time  0.362658
2021-09-22 20:32:50.518538 : Epoch  1, Batch     68, Loss  0.949996, Average Loss  1.041653, Time  0.332062
2021-09-22 20:32:52.349843 : Epoch  1, Batch     97, Loss  0.832790, Average Loss  0.974468, Time  0.351243
2021-09-22 20:32:52.495085 : Epoch  1, Batch     69, Loss  0.948725, Average Loss  1.040306, Time  0.319673
2021-09-22 20:32:54.297461 : Epoch  1, Batch     98, Loss  0.825818, Average Loss  0.972951, Time  0.329305
2021-09-22 20:32:54.376949 : Epoch  2, Batch    276, Loss  0.877301, Average Loss  0.875453, Time  0.413056
2021-09-22 20:32:54.454714 : Epoch  1, Batch     70, Loss  0.946893, Average Loss  1.038971, Time  0.309693
2021-09-22 20:32:56.209210 : Epoch  1, Batch     99, Loss  0.822844, Average Loss  0.971434, Time  0.303932
2021-09-22 20:32:56.392577 : Epoch  1, Batch     71, Loss  0.946706, Average Loss  1.037672, Time  0.285411
2021-09-22 20:32:58.072946 : Epoch  1, Batch    100, Loss  0.818867, Average Loss  0.969909, Time  0.250679
2021-09-22 20:32:58.308507 : Epoch  1, Batch     72, Loss  0.948211, Average Loss  1.036429, Time  0.267633
2021-09-22 20:32:59.406778 : Epoch  2, Batch    277, Loss  0.887797, Average Loss  0.875525, Time  0.413305
2021-09-22 20:33:00.231325 : Epoch  1, Batch     73, Loss  0.947134, Average Loss  1.035206, Time  0.259343
2021-09-22 20:33:02.201158 : Epoch  1, Batch     74, Loss  0.945270, Average Loss  1.033991, Time  0.329364
2021-09-22 20:33:04.114946 : Epoch  1, Batch     75, Loss  0.947617, Average Loss  1.032839, Time  0.253873
2021-09-22 20:33:04.470879 : Epoch  2, Batch    278, Loss  0.885841, Average Loss  0.875530, Time  0.412908
2021-09-22 20:33:06.038062 : Epoch  1, Batch     76, Loss  0.948239, Average Loss  1.031726, Time  0.254438
2021-09-22 20:33:07.966501 : Epoch  1, Batch     77, Loss  0.951655, Average Loss  1.030686, Time  0.262185
2021-09-22 20:33:09.593017 : Epoch  2, Batch    279, Loss  0.882537, Average Loss  0.875589, Time  0.413093
2021-09-22 20:33:09.890929 : Epoch  1, Batch     78, Loss  0.944842, Average Loss  1.029585, Time  0.259202
2021-09-22 20:33:11.817903 : Epoch  1, Batch     79, Loss  0.950710, Average Loss  1.028587, Time  0.254839
2021-09-22 20:33:13.814547 : Epoch  1, Batch     80, Loss  0.946477, Average Loss  1.027561, Time  0.326484
2021-09-22 20:33:14.655154 : Epoch  2, Batch    280, Loss  0.880337, Average Loss  0.875650, Time  0.413574
2021-09-22 20:33:15.750920 : Epoch  1, Batch     81, Loss  0.943684, Average Loss  1.026525, Time  0.253929
2021-09-22 20:33:17.682046 : Epoch  1, Batch     82, Loss  0.944121, Average Loss  1.025520, Time  0.254824
2021-09-22 20:33:19.603037 : Epoch  1, Batch     83, Loss  0.936813, Average Loss  1.024451, Time  0.254467
2021-09-22 20:33:19.730931 : Epoch  2, Batch    281, Loss  0.885116, Average Loss  0.875762, Time  0.414280
2021-09-22 20:33:21.525427 : Epoch  1, Batch     84, Loss  0.943444, Average Loss  1.023487, Time  0.255202
2021-09-22 20:33:23.435104 : Epoch  1, Batch     85, Loss  0.939403, Average Loss  1.022498, Time  0.253738
2021-09-22 20:33:24.796029 : Epoch  2, Batch    282, Loss  0.874149, Average Loss  0.875745, Time  0.453502
2021-09-22 20:33:25.431467 : Epoch  1, Batch     86, Loss  0.942572, Average Loss  1.021568, Time  0.338803
2021-09-22 20:33:27.358824 : Epoch  1, Batch     87, Loss  0.941902, Average Loss  1.020653, Time  0.253696
2021-09-22 20:33:29.281152 : Epoch  1, Batch     88, Loss  0.934253, Average Loss  1.019671, Time  0.255098
2021-09-22 20:33:29.897993 : Epoch  2, Batch    283, Loss  0.894100, Average Loss  0.875851, Time  0.413975
2021-09-22 20:33:31.228417 : Epoch  1, Batch     89, Loss  0.935236, Average Loss  1.018722, Time  0.255002
2021-09-22 20:33:33.131268 : Epoch  1, Batch     90, Loss  0.936065, Average Loss  1.017804, Time  0.256861
2021-09-22 20:33:34.941791 : Epoch  2, Batch    284, Loss  0.864628, Average Loss  0.875820, Time  0.413568
2021-09-22 20:33:35.040064 : Epoch  1, Batch     91, Loss  0.934388, Average Loss  1.016887, Time  0.254100
2021-09-22 20:33:37.044118 : Epoch  1, Batch     92, Loss  0.931623, Average Loss  1.015960, Time  0.327547
2021-09-22 20:33:39.027087 : Epoch  1, Batch     93, Loss  0.929306, Average Loss  1.015029, Time  0.253892
2021-09-22 20:33:40.121971 : Epoch  2, Batch    285, Loss  0.881791, Average Loss  0.875925, Time  0.414447
2021-09-22 20:33:40.936379 : Epoch  1, Batch     94, Loss  0.929664, Average Loss  1.014120, Time  0.254258
2021-09-22 20:33:42.848151 : Epoch  1, Batch     95, Loss  0.924353, Average Loss  1.013176, Time  0.253929
2021-09-22 20:33:44.773565 : Epoch  1, Batch     96, Loss  0.925938, Average Loss  1.012267, Time  0.264931
2021-09-22 20:33:45.151015 : Epoch  2, Batch    286, Loss  0.879855, Average Loss  0.875907, Time  0.413282
2021-09-22 20:33:46.682027 : Epoch  1, Batch     97, Loss  0.926982, Average Loss  1.011388, Time  0.258630
2021-09-22 20:33:48.654344 : Epoch  1, Batch     98, Loss  0.924638, Average Loss  1.010502, Time  0.329170
2021-09-22 20:33:50.255945 : Epoch  2, Batch    287, Loss  0.875571, Average Loss  0.875967, Time  0.412877
2021-09-22 20:33:50.569437 : Epoch  1, Batch     99, Loss  0.917764, Average Loss  1.009566, Time  0.258572
2021-09-22 20:33:52.466656 : Epoch  1, Batch    100, Loss  0.916660, Average Loss  1.008637, Time  0.253178
2021-09-22 20:33:55.306606 : Epoch  2, Batch    288, Loss  0.879889, Average Loss  0.876054, Time  0.413502
2021-09-22 20:34:00.347928 : Epoch  2, Batch    289, Loss  0.859888, Average Loss  0.875957, Time  0.413196
2021-09-22 20:34:05.484929 : Epoch  2, Batch    290, Loss  0.888698, Average Loss  0.876049, Time  0.413088
2021-09-22 20:34:08.971698 : CheckPoint: Validation Loss  0.00034273, Best Loss  0.00034273
2021-09-22 20:34:09.005690 : Best Model Updated
2021-09-22 20:34:10.591966 : Epoch  2, Batch    291, Loss  0.878386, Average Loss  0.876023, Time  0.465616
2021-09-22 20:34:11.826869 : Epoch  1, Batch    101, Loss  0.824508, Average Loss  0.968469, Time  0.273234
2021-09-22 20:34:13.709728 : Epoch  1, Batch    102, Loss  0.833131, Average Loss  0.967142, Time  0.252414
2021-09-22 20:34:15.581907 : Epoch  1, Batch    103, Loss  0.828144, Average Loss  0.965793, Time  0.252422
2021-09-22 20:34:15.672765 : Epoch  2, Batch    292, Loss  0.891701, Average Loss  0.876064, Time  0.416928
2021-09-22 20:34:17.473940 : Epoch  1, Batch    104, Loss  0.826993, Average Loss  0.964458, Time  0.251162
2021-09-22 20:34:19.368885 : Epoch  1, Batch    105, Loss  0.821672, Average Loss  0.963098, Time  0.251338
2021-09-22 20:34:20.818840 : Epoch  2, Batch    293, Loss  0.885150, Average Loss  0.876136, Time  0.413040
2021-09-22 20:34:21.248741 : Epoch  1, Batch    106, Loss  0.822933, Average Loss  0.961776, Time  0.250129
2021-09-22 20:34:23.124485 : Epoch  1, Batch    107, Loss  0.822952, Average Loss  0.960479, Time  0.253593
2021-09-22 20:34:25.068593 : Epoch  1, Batch    108, Loss  0.834821, Average Loss  0.959315, Time  0.327914
2021-09-22 20:34:25.871776 : Epoch  2, Batch    294, Loss  0.885909, Average Loss  0.876121, Time  0.414370
2021-09-22 20:34:26.929111 : Epoch  1, Batch    109, Loss  0.826497, Average Loss  0.958097, Time  0.249509
2021-09-22 20:34:28.808356 : Epoch  1, Batch    110, Loss  0.817707, Average Loss  0.956820, Time  0.249970
2021-09-22 20:34:30.700276 : Epoch  1, Batch    111, Loss  0.821777, Average Loss  0.955604, Time  0.250646
2021-09-22 20:34:30.923809 : Epoch  2, Batch    295, Loss  0.877330, Average Loss  0.876096, Time  0.414294
2021-09-22 20:34:32.588561 : Epoch  1, Batch    112, Loss  0.815722, Average Loss  0.954355, Time  0.250397
2021-09-22 20:34:34.458520 : Epoch  1, Batch    113, Loss  0.826922, Average Loss  0.953227, Time  0.250093
2021-09-22 20:34:35.975837 : Epoch  2, Batch    296, Loss  0.882095, Average Loss  0.876084, Time  0.417785
2021-09-22 20:34:36.357695 : Epoch  1, Batch    114, Loss  0.823738, Average Loss  0.952091, Time  0.250643
2021-09-22 20:34:38.244051 : Epoch  1, Batch    115, Loss  0.817975, Average Loss  0.950925, Time  0.249303
2021-09-22 20:34:40.247029 : Epoch  1, Batch    116, Loss  0.817647, Average Loss  0.949776, Time  0.336816
2021-09-22 20:34:41.032378 : Epoch  2, Batch    297, Loss  0.872108, Average Loss  0.876070, Time  0.413386
2021-09-22 20:34:42.158070 : Epoch  1, Batch    117, Loss  0.818327, Average Loss  0.948653, Time  0.249806
2021-09-22 20:34:44.055131 : Epoch  1, Batch    118, Loss  0.834539, Average Loss  0.947685, Time  0.251060
2021-09-22 20:34:45.942126 : Epoch  1, Batch    119, Loss  0.817326, Average Loss  0.946590, Time  0.250855
2021-09-22 20:34:46.088086 : Epoch  2, Batch    298, Loss  0.859692, Average Loss  0.876021, Time  0.413710
2021-09-22 20:34:47.872295 : Epoch  1, Batch    120, Loss  0.816922, Average Loss  0.945509, Time  0.258904
2021-09-22 20:34:49.766729 : Epoch  1, Batch    121, Loss  0.822360, Average Loss  0.944492, Time  0.249549
2021-09-22 20:34:51.185576 : Epoch  2, Batch    299, Loss  0.886585, Average Loss  0.876138, Time  0.420946
2021-09-22 20:34:51.638509 : Epoch  1, Batch    122, Loss  0.820877, Average Loss  0.943478, Time  0.250502
2021-09-22 20:34:53.513437 : Epoch  1, Batch    123, Loss  0.818991, Average Loss  0.942466, Time  0.250497
2021-09-22 20:34:55.467942 : Epoch  1, Batch    124, Loss  0.821481, Average Loss  0.941491, Time  0.326482
2021-09-22 20:34:56.274769 : Epoch  2, Batch    300, Loss  0.868162, Average Loss  0.876098, Time  0.462599
2021-09-22 20:34:57.355196 : Epoch  1, Batch    125, Loss  0.819915, Average Loss  0.940518, Time  0.250301
2021-09-22 20:34:59.248895 : Epoch  1, Batch    126, Loss  0.822118, Average Loss  0.939578, Time  0.251866
2021-09-22 20:35:01.115014 : Epoch  1, Batch    127, Loss  0.806819, Average Loss  0.938533, Time  0.250241
2021-09-22 20:35:01.309129 : Epoch  2, Batch    301, Loss  0.857418, Average Loss  0.876006, Time  0.413253
2021-09-22 20:35:03.023236 : Epoch  1, Batch    128, Loss  0.811146, Average Loss  0.937538, Time  0.252172
2021-09-22 20:35:04.241195 : CheckPoint: Validation Loss  0.00037152, Best Loss  0.00037152
2021-09-22 20:35:04.274153 : Best Model Updated
2021-09-22 20:35:04.979452 : Epoch  1, Batch    129, Loss  0.820362, Average Loss  0.936629, Time  0.250326
2021-09-22 20:35:06.415883 : Epoch  2, Batch    302, Loss  0.861030, Average Loss  0.875802, Time  0.414033
2021-09-22 20:35:06.866505 : Epoch  1, Batch    130, Loss  0.818473, Average Loss  0.935721, Time  0.250188
2021-09-22 20:35:07.203849 : Epoch  1, Batch    101, Loss  0.903274, Average Loss  1.007593, Time  0.254189
2021-09-22 20:35:08.804070 : Epoch  1, Batch    131, Loss  0.817756, Average Loss  0.934820, Time  0.249979
2021-09-22 20:35:09.129167 : Epoch  1, Batch    102, Loss  0.900391, Average Loss  1.006542, Time  0.253216
2021-09-22 20:35:10.688354 : Epoch  1, Batch    132, Loss  0.818805, Average Loss  0.933941, Time  0.249755
2021-09-22 20:35:11.033009 : Epoch  1, Batch    103, Loss  0.886544, Average Loss  1.005377, Time  0.254002
2021-09-22 20:35:11.486341 : Epoch  2, Batch    303, Loss  0.879961, Average Loss  0.875730, Time  0.413276
2021-09-22 20:35:12.588793 : Epoch  1, Batch    133, Loss  0.828166, Average Loss  0.933146, Time  0.250932
2021-09-22 20:35:12.948498 : Epoch  1, Batch    104, Loss  0.880979, Average Loss  1.004181, Time  0.253982
2021-09-22 20:35:14.480528 : Epoch  1, Batch    134, Loss  0.810050, Average Loss  0.932227, Time  0.249978
2021-09-22 20:35:14.864223 : Epoch  1, Batch    105, Loss  0.864914, Average Loss  1.002855, Time  0.254959
2021-09-22 20:35:16.375981 : Epoch  1, Batch    135, Loss  0.814178, Average Loss  0.931353, Time  0.251515
2021-09-22 20:35:16.529812 : Epoch  2, Batch    304, Loss  0.880060, Average Loss  0.875712, Time  0.413428
2021-09-22 20:35:16.773959 : Epoch  1, Batch    106, Loss  0.849102, Average Loss  1.001404, Time  0.253805
2021-09-22 20:35:18.239726 : Epoch  1, Batch    136, Loss  0.813105, Average Loss  0.930483, Time  0.250142
2021-09-22 20:35:18.668518 : Epoch  1, Batch    107, Loss  0.839685, Average Loss  0.999893, Time  0.254706
2021-09-22 20:35:20.144182 : Epoch  1, Batch    137, Loss  0.812284, Average Loss  0.929621, Time  0.253569
2021-09-22 20:35:20.587054 : Epoch  1, Batch    108, Loss  0.827163, Average Loss  0.998294, Time  0.253613
2021-09-22 20:35:21.566218 : Epoch  2, Batch    305, Loss  0.860179, Average Loss  0.875638, Time  0.414145
2021-09-22 20:35:22.039010 : Epoch  1, Batch    138, Loss  0.827536, Average Loss  0.928881, Time  0.250399
2021-09-22 20:35:22.488878 : Epoch  1, Batch    109, Loss  0.838681, Average Loss  0.996829, Time  0.253662
2021-09-22 20:35:23.930507 : Epoch  1, Batch    139, Loss  0.811822, Average Loss  0.928039, Time  0.253293
2021-09-22 20:35:24.420856 : Epoch  1, Batch    110, Loss  0.845313, Average Loss  0.995452, Time  0.254396
2021-09-22 20:35:25.858186 : Epoch  1, Batch    140, Loss  0.818484, Average Loss  0.927256, Time  0.260157
2021-09-22 20:35:26.368450 : Epoch  1, Batch    111, Loss  0.838015, Average Loss  0.994034, Time  0.254307
2021-09-22 20:35:26.619729 : Epoch  2, Batch    306, Loss  0.876144, Average Loss  0.875656, Time  0.414711
2021-09-22 20:35:27.738518 : Epoch  1, Batch    141, Loss  0.804410, Average Loss  0.926385, Time  0.249650
2021-09-22 20:35:28.260956 : Epoch  1, Batch    112, Loss  0.841447, Average Loss  0.992671, Time  0.253839
2021-09-22 20:35:29.624570 : Epoch  1, Batch    142, Loss  0.819028, Average Loss  0.925629, Time  0.250277
2021-09-22 20:35:30.183512 : Epoch  1, Batch    113, Loss  0.839452, Average Loss  0.991315, Time  0.261434
2021-09-22 20:35:31.523315 : Epoch  1, Batch    143, Loss  0.804218, Average Loss  0.924780, Time  0.250939
2021-09-22 20:35:31.657803 : Epoch  2, Batch    307, Loss  0.871634, Average Loss  0.875671, Time  0.412742
2021-09-22 20:35:32.095068 : Epoch  1, Batch    114, Loss  0.840902, Average Loss  0.989996, Time  0.254251
2021-09-22 20:35:33.429110 : Epoch  1, Batch    144, Loss  0.822215, Average Loss  0.924068, Time  0.249941
2021-09-22 20:35:34.031833 : Epoch  1, Batch    115, Loss  0.843766, Average Loss  0.988724, Time  0.262433
2021-09-22 20:35:35.344660 : Epoch  1, Batch    145, Loss  0.817332, Average Loss  0.923331, Time  0.249759
2021-09-22 20:35:35.941898 : Epoch  1, Batch    116, Loss  0.822096, Average Loss  0.987288, Time  0.256200
2021-09-22 20:35:36.697045 : Epoch  2, Batch    308, Loss  0.879408, Average Loss  0.875619, Time  0.413980
2021-09-22 20:35:37.238122 : Epoch  1, Batch    146, Loss  0.811312, Average Loss  0.922564, Time  0.250349
2021-09-22 20:35:37.862225 : Epoch  1, Batch    117, Loss  0.836551, Average Loss  0.985999, Time  0.253238
2021-09-22 20:35:39.136577 : Epoch  1, Batch    147, Loss  0.810567, Average Loss  0.921802, Time  0.250225
2021-09-22 20:35:39.754827 : Epoch  1, Batch    118, Loss  0.835379, Average Loss  0.984723, Time  0.252336
2021-09-22 20:35:41.003451 : Epoch  1, Batch    148, Loss  0.808767, Average Loss  0.921039, Time  0.255742
2021-09-22 20:35:41.644945 : Epoch  1, Batch    119, Loss  0.828488, Average Loss  0.983410, Time  0.255048
2021-09-22 20:35:41.798748 : Epoch  2, Batch    309, Loss  0.879640, Average Loss  0.875659, Time  0.465119
2021-09-22 20:35:42.879982 : Epoch  1, Batch    149, Loss  0.803619, Average Loss  0.920251, Time  0.251755
2021-09-22 20:35:43.557302 : Epoch  1, Batch    120, Loss  0.821204, Average Loss  0.982058, Time  0.260743
2021-09-22 20:35:44.762105 : Epoch  1, Batch    150, Loss  0.809951, Average Loss  0.919515, Time  0.249843
2021-09-22 20:35:45.469600 : Epoch  1, Batch    121, Loss  0.825417, Average Loss  0.980764, Time  0.254069
2021-09-22 20:35:46.641533 : Epoch  1, Batch    151, Loss  0.803950, Average Loss  0.918750, Time  0.251424
2021-09-22 20:35:46.874994 : Epoch  2, Batch    310, Loss  0.867837, Average Loss  0.875524, Time  0.424893
2021-09-22 20:35:47.365344 : Epoch  1, Batch    122, Loss  0.826783, Average Loss  0.979502, Time  0.254513
2021-09-22 20:35:48.515436 : Epoch  1, Batch    152, Loss  0.813687, Average Loss  0.918059, Time  0.251848
2021-09-22 20:35:49.265104 : Epoch  1, Batch    123, Loss  0.824268, Average Loss  0.978240, Time  0.260166
2021-09-22 20:35:50.397566 : Epoch  1, Batch    153, Loss  0.816918, Average Loss  0.917398, Time  0.253068
2021-09-22 20:35:51.232745 : Epoch  1, Batch    124, Loss  0.824247, Average Loss  0.976998, Time  0.258425
2021-09-22 20:35:51.901072 : Epoch  2, Batch    311, Loss  0.857486, Average Loss  0.875406, Time  0.412966
2021-09-22 20:35:52.282791 : Epoch  1, Batch    154, Loss  0.820888, Average Loss  0.916771, Time  0.256580
2021-09-22 20:35:53.143688 : Epoch  1, Batch    125, Loss  0.822229, Average Loss  0.975760, Time  0.254188
2021-09-22 20:35:54.167133 : Epoch  1, Batch    155, Loss  0.815590, Average Loss  0.916118, Time  0.250042
2021-09-22 20:35:55.051622 : Epoch  1, Batch    126, Loss  0.825301, Average Loss  0.974565, Time  0.257435
2021-09-22 20:35:56.051298 : Epoch  1, Batch    156, Loss  0.812630, Average Loss  0.915455, Time  0.249875
2021-09-22 20:35:56.964009 : Epoch  1, Batch    127, Loss  0.828008, Average Loss  0.973411, Time  0.254554
2021-09-22 20:35:56.992816 : Epoch  2, Batch    312, Loss  0.879697, Average Loss  0.875418, Time  0.413743
2021-09-22 20:35:57.927344 : Epoch  1, Batch    157, Loss  0.805084, Average Loss  0.914752, Time  0.251055
2021-09-22 20:35:58.885416 : Epoch  1, Batch    128, Loss  0.817942, Average Loss  0.972197, Time  0.256452
2021-09-22 20:35:59.808753 : Epoch  1, Batch    158, Loss  0.816201, Average Loss  0.914128, Time  0.250037
2021-09-22 20:36:00.793904 : Epoch  1, Batch    129, Loss  0.810739, Average Loss  0.970945, Time  0.256853
2021-09-22 20:36:01.697180 : Epoch  1, Batch    159, Loss  0.815677, Average Loss  0.913509, Time  0.250315
2021-09-22 20:36:02.031726 : Epoch  2, Batch    313, Loss  0.878666, Average Loss  0.875454, Time  0.414186
2021-09-22 20:36:02.708211 : Epoch  1, Batch    130, Loss  0.823459, Average Loss  0.969811, Time  0.253807
2021-09-22 20:36:03.597015 : Epoch  1, Batch    160, Loss  0.810615, Average Loss  0.912866, Time  0.257178
2021-09-22 20:36:04.627702 : Epoch  1, Batch    131, Loss  0.825707, Average Loss  0.968711, Time  0.254091
2021-09-22 20:36:05.476778 : Epoch  1, Batch    161, Loss  0.811382, Average Loss  0.912235, Time  0.254966
2021-09-22 20:36:06.528746 : Epoch  1, Batch    132, Loss  0.808017, Average Loss  0.967493, Time  0.253974
2021-09-22 20:36:07.077558 : Epoch  2, Batch    314, Loss  0.885013, Average Loss  0.875555, Time  0.414570
2021-09-22 20:36:07.354489 : Epoch  1, Batch    162, Loss  0.820555, Average Loss  0.911669, Time  0.250280
2021-09-22 20:36:08.445114 : Epoch  1, Batch    133, Loss  0.818386, Average Loss  0.966372, Time  0.253290
2021-09-22 20:36:09.238320 : Epoch  1, Batch    163, Loss  0.804327, Average Loss  0.911011, Time  0.251570
2021-09-22 20:36:10.346215 : Epoch  1, Batch    134, Loss  0.816311, Average Loss  0.965252, Time  0.255457
2021-09-22 20:36:11.120204 : Epoch  1, Batch    164, Loss  0.808315, Average Loss  0.910385, Time  0.249331
2021-09-22 20:36:12.122016 : Epoch  2, Batch    315, Loss  0.879880, Average Loss  0.875641, Time  0.413364
2021-09-22 20:36:12.250853 : Epoch  1, Batch    135, Loss  0.811028, Average Loss  0.964110, Time  0.253864
2021-09-22 20:36:13.009819 : Epoch  1, Batch    165, Loss  0.815582, Average Loss  0.909810, Time  0.251103
2021-09-22 20:36:14.145451 : Epoch  1, Batch    136, Loss  0.819433, Average Loss  0.963046, Time  0.254604
2021-09-22 20:36:14.904835 : Epoch  1, Batch    166, Loss  0.816840, Average Loss  0.909250, Time  0.263847
2021-09-22 20:36:16.042378 : Epoch  1, Batch    137, Loss  0.821113, Average Loss  0.962010, Time  0.254918
2021-09-22 20:36:16.793878 : Epoch  1, Batch    167, Loss  0.807384, Average Loss  0.908640, Time  0.249916
2021-09-22 20:36:17.216079 : Epoch  2, Batch    316, Loss  0.867990, Average Loss  0.875623, Time  0.436187
2021-09-22 20:36:17.968440 : Epoch  1, Batch    138, Loss  0.813120, Average Loss  0.960931, Time  0.253460
2021-09-22 20:36:18.679592 : Epoch  1, Batch    168, Loss  0.808691, Average Loss  0.908045, Time  0.251090
2021-09-22 20:36:19.906215 : Epoch  1, Batch    139, Loss  0.824488, Average Loss  0.959950, Time  0.254941
2021-09-22 20:36:20.561395 : Epoch  1, Batch    169, Loss  0.808166, Average Loss  0.907454, Time  0.250365
2021-09-22 20:36:21.833609 : Epoch  1, Batch    140, Loss  0.817776, Average Loss  0.958934, Time  0.254101
2021-09-22 20:36:22.296920 : Epoch  2, Batch    317, Loss  0.865400, Average Loss  0.875617, Time  0.412991
2021-09-22 20:36:22.443956 : Epoch  1, Batch    170, Loss  0.810808, Average Loss  0.906886, Time  0.250904
2021-09-22 20:36:23.747760 : Epoch  1, Batch    141, Loss  0.825462, Average Loss  0.957988, Time  0.255289
2021-09-22 20:36:25.672151 : Epoch  1, Batch    142, Loss  0.829694, Average Loss  0.957084, Time  0.255656
2021-09-22 20:36:26.995048 : Epoch  1, Batch    171, Loss  0.808285, Average Loss  0.906309, Time  0.251333
2021-09-22 20:36:27.394957 : Epoch  2, Batch    318, Loss  0.862519, Average Loss  0.875498, Time  0.456580
2021-09-22 20:36:27.582960 : Epoch  1, Batch    143, Loss  0.828467, Average Loss  0.956185, Time  0.254467
2021-09-22 20:36:28.891684 : Epoch  1, Batch    172, Loss  0.816064, Average Loss  0.905784, Time  0.250618
2021-09-22 20:36:29.483188 : Epoch  1, Batch    144, Loss  0.827869, Average Loss  0.955294, Time  0.253507
2021-09-22 20:36:30.781814 : Epoch  1, Batch    173, Loss  0.817049, Average Loss  0.905271, Time  0.251312
2021-09-22 20:36:31.378352 : Epoch  1, Batch    145, Loss  0.819866, Average Loss  0.954360, Time  0.253735
2021-09-22 20:36:32.490917 : Epoch  2, Batch    319, Loss  0.886131, Average Loss  0.875554, Time  0.414454
2021-09-22 20:36:32.700102 : Epoch  1, Batch    174, Loss  0.816860, Average Loss  0.904763, Time  0.252996
2021-09-22 20:36:33.286100 : Epoch  1, Batch    146, Loss  0.815753, Average Loss  0.953410, Time  0.253294
2021-09-22 20:36:34.602931 : Epoch  1, Batch    175, Loss  0.810098, Average Loss  0.904222, Time  0.252017
2021-09-22 20:36:35.194440 : Epoch  1, Batch    147, Loss  0.825834, Average Loss  0.952542, Time  0.254384
2021-09-22 20:36:36.478596 : Epoch  1, Batch    176, Loss  0.808452, Average Loss  0.903678, Time  0.251689
2021-09-22 20:36:37.102099 : Epoch  1, Batch    148, Loss  0.823420, Average Loss  0.951670, Time  0.255977
2021-09-22 20:36:37.543954 : Epoch  2, Batch    320, Loss  0.879383, Average Loss  0.875552, Time  0.414055
2021-09-22 20:36:38.386304 : Epoch  1, Batch    177, Loss  0.808209, Average Loss  0.903139, Time  0.253187
2021-09-22 20:36:39.010376 : Epoch  1, Batch    149, Loss  0.818567, Average Loss  0.950777, Time  0.253110
2021-09-22 20:36:40.256681 : Epoch  1, Batch    178, Loss  0.804449, Average Loss  0.902584, Time  0.250982
2021-09-22 20:36:40.912688 : Epoch  1, Batch    150, Loss  0.813359, Average Loss  0.949860, Time  0.254913
2021-09-22 20:36:42.169564 : Epoch  1, Batch    179, Loss  0.801350, Average Loss  0.902019, Time  0.263185
2021-09-22 20:36:42.586827 : Epoch  2, Batch    321, Loss  0.878202, Average Loss  0.875572, Time  0.413587
2021-09-22 20:36:42.833406 : Epoch  1, Batch    151, Loss  0.823604, Average Loss  0.949024, Time  0.267581
2021-09-22 20:36:44.044747 : Epoch  1, Batch    180, Loss  0.807050, Average Loss  0.901491, Time  0.253391
2021-09-22 20:36:44.731072 : Epoch  1, Batch    152, Loss  0.814093, Average Loss  0.948137, Time  0.255341
2021-09-22 20:36:45.932041 : Epoch  1, Batch    181, Loss  0.803335, Average Loss  0.900949, Time  0.251237
2021-09-22 20:36:46.652413 : Epoch  1, Batch    153, Loss  0.817438, Average Loss  0.947282, Time  0.256098
2021-09-22 20:36:47.619766 : Epoch  2, Batch    322, Loss  0.875956, Average Loss  0.875528, Time  0.413573
2021-09-22 20:36:47.858435 : Epoch  1, Batch    182, Loss  0.802555, Average Loss  0.900408, Time  0.250072
2021-09-22 20:36:48.567087 : Epoch  1, Batch    154, Loss  0.821905, Average Loss  0.946468, Time  0.254055
2021-09-22 20:36:49.753827 : Epoch  1, Batch    183, Loss  0.808495, Average Loss  0.899906, Time  0.250281
2021-09-22 20:36:50.482923 : Epoch  1, Batch    155, Loss  0.820512, Average Loss  0.945656, Time  0.253829
2021-09-22 20:36:51.640693 : Epoch  1, Batch    184, Loss  0.813134, Average Loss  0.899435, Time  0.250226
2021-09-22 20:36:52.408006 : Epoch  1, Batch    156, Loss  0.817698, Average Loss  0.944835, Time  0.254703
2021-09-22 20:36:52.667015 : Epoch  2, Batch    323, Loss  0.868360, Average Loss  0.875518, Time  0.413443
2021-09-22 20:36:53.543306 : Epoch  1, Batch    185, Loss  0.812520, Average Loss  0.898965, Time  0.250895
2021-09-22 20:36:54.319537 : Epoch  1, Batch    157, Loss  0.816080, Average Loss  0.944015, Time  0.255432
2021-09-22 20:36:55.434924 : Epoch  1, Batch    186, Loss  0.812222, Average Loss  0.898498, Time  0.251167
2021-09-22 20:36:56.231685 : Epoch  1, Batch    158, Loss  0.812707, Average Loss  0.943184, Time  0.257663
2021-09-22 20:36:57.315175 : Epoch  1, Batch    187, Loss  0.810408, Average Loss  0.898027, Time  0.249676
2021-09-22 20:36:57.691987 : Epoch  2, Batch    324, Loss  0.874998, Average Loss  0.875416, Time  0.413384
2021-09-22 20:36:58.131367 : Epoch  1, Batch    159, Loss  0.816624, Average Loss  0.942388, Time  0.256243
2021-09-22 20:36:59.208637 : Epoch  1, Batch    188, Loss  0.800057, Average Loss  0.897506, Time  0.250906
2021-09-22 20:37:00.019568 : Epoch  1, Batch    160, Loss  0.819822, Average Loss  0.941622, Time  0.254112
2021-09-22 20:37:01.097287 : Epoch  1, Batch    189, Loss  0.801497, Average Loss  0.896998, Time  0.251813
2021-09-22 20:37:01.931232 : Epoch  1, Batch    161, Loss  0.809553, Average Loss  0.940802, Time  0.255829
2021-09-22 20:37:02.734725 : Epoch  2, Batch    325, Loss  0.898067, Average Loss  0.875483, Time  0.413060
2021-09-22 20:37:02.992742 : Epoch  1, Batch    190, Loss  0.810612, Average Loss  0.896544, Time  0.261673
2021-09-22 20:37:03.877412 : Epoch  1, Batch    162, Loss  0.811665, Average Loss  0.940005, Time  0.253540
2021-09-22 20:37:04.888995 : Epoch  1, Batch    191, Loss  0.814693, Average Loss  0.896115, Time  0.257435
2021-09-22 20:37:05.807977 : Epoch  1, Batch    163, Loss  0.811816, Average Loss  0.939218, Time  0.256578
2021-09-22 20:37:06.773213 : Epoch  1, Batch    192, Loss  0.814308, Average Loss  0.895689, Time  0.250025
2021-09-22 20:37:07.714045 : Epoch  1, Batch    164, Loss  0.821414, Average Loss  0.938500, Time  0.253450
2021-09-22 20:37:07.777760 : Epoch  2, Batch    326, Loss  0.883882, Average Loss  0.875534, Time  0.413351
2021-09-22 20:37:08.645649 : Epoch  1, Batch    193, Loss  0.808980, Average Loss  0.895240, Time  0.251395
2021-09-22 20:37:09.615532 : Epoch  1, Batch    165, Loss  0.819136, Average Loss  0.937777, Time  0.253933
2021-09-22 20:37:10.521132 : Epoch  1, Batch    194, Loss  0.815293, Average Loss  0.894828, Time  0.250624
2021-09-22 20:37:11.527865 : Epoch  1, Batch    166, Loss  0.815777, Average Loss  0.937042, Time  0.254332
2021-09-22 20:37:12.396078 : Epoch  1, Batch    195, Loss  0.812487, Average Loss  0.894405, Time  0.255537
2021-09-22 20:37:12.899754 : Epoch  2, Batch    327, Loss  0.868609, Average Loss  0.875574, Time  0.460259
2021-09-22 20:37:13.447406 : Epoch  1, Batch    167, Loss  0.799880, Average Loss  0.936220, Time  0.255736
2021-09-22 20:37:14.301223 : Epoch  1, Batch    196, Loss  0.813736, Average Loss  0.893994, Time  0.250321
2021-09-22 20:37:15.366418 : Epoch  1, Batch    168, Loss  0.816952, Average Loss  0.935510, Time  0.253943
2021-09-22 20:37:16.202610 : Epoch  1, Batch    197, Loss  0.801949, Average Loss  0.893526, Time  0.250525
2021-09-22 20:37:17.274749 : Epoch  1, Batch    169, Loss  0.801955, Average Loss  0.934720, Time  0.257523
2021-09-22 20:37:17.922727 : Epoch  2, Batch    328, Loss  0.883683, Average Loss  0.875668, Time  0.413708
2021-09-22 20:37:18.093683 : Epoch  1, Batch    198, Loss  0.807142, Average Loss  0.893090, Time  0.250271
2021-09-22 20:37:19.196725 : Epoch  1, Batch    170, Loss  0.819765, Average Loss  0.934044, Time  0.254137
2021-09-22 20:37:19.983830 : Epoch  1, Batch    199, Loss  0.821631, Average Loss  0.892731, Time  0.255392
2021-09-22 20:37:21.890015 : Epoch  1, Batch    200, Loss  0.811323, Average Loss  0.892324, Time  0.251341
2021-09-22 20:37:22.960721 : Epoch  2, Batch    329, Loss  0.870658, Average Loss  0.875668, Time  0.413093
2021-09-22 20:37:23.325343 : Epoch  1, Batch    171, Loss  0.805743, Average Loss  0.933294, Time  0.255206
2021-09-22 20:37:25.232485 : Epoch  1, Batch    172, Loss  0.817950, Average Loss  0.932623, Time  0.260372
2021-09-22 20:37:27.128610 : Epoch  1, Batch    173, Loss  0.817317, Average Loss  0.931957, Time  0.254481
2021-09-22 20:37:27.982926 : Epoch  2, Batch    330, Loss  0.882972, Average Loss  0.875810, Time  0.413054
2021-09-22 20:37:29.026468 : Epoch  1, Batch    174, Loss  0.802892, Average Loss  0.931215, Time  0.253443
2021-09-22 20:37:30.996519 : Epoch  1, Batch    175, Loss  0.813742, Average Loss  0.930543, Time  0.330570
2021-09-22 20:37:32.905329 : Epoch  1, Batch    176, Loss  0.811166, Average Loss  0.929865, Time  0.253592
2021-09-22 20:37:33.082594 : Epoch  2, Batch    331, Loss  0.879852, Average Loss  0.875836, Time  0.414155
2021-09-22 20:37:34.800602 : Epoch  1, Batch    177, Loss  0.811532, Average Loss  0.929197, Time  0.253034
2021-09-22 20:37:36.684188 : Epoch  1, Batch    178, Loss  0.815716, Average Loss  0.928559, Time  0.254881
2021-09-22 20:37:38.128922 : Epoch  2, Batch    332, Loss  0.888370, Average Loss  0.875990, Time  0.415868
2021-09-22 20:37:38.568914 : Epoch  1, Batch    179, Loss  0.820113, Average Loss  0.927953, Time  0.255647
2021-09-22 20:37:40.462277 : Epoch  1, Batch    180, Loss  0.815169, Average Loss  0.927327, Time  0.253851
2021-09-22 20:37:42.364526 : Epoch  1, Batch    181, Loss  0.816036, Average Loss  0.926712, Time  0.253105
2021-09-22 20:37:43.219338 : Epoch  2, Batch    333, Loss  0.870408, Average Loss  0.876004, Time  0.414641
2021-09-22 20:37:44.344884 : Epoch  1, Batch    182, Loss  0.813870, Average Loss  0.926092, Time  0.329268
2021-09-22 20:37:46.247511 : Epoch  1, Batch    183, Loss  0.814128, Average Loss  0.925480, Time  0.258996
2021-09-22 20:37:48.146106 : Epoch  1, Batch    184, Loss  0.816233, Average Loss  0.924886, Time  0.263751
2021-09-22 20:37:48.277759 : Epoch  2, Batch    334, Loss  0.871607, Average Loss  0.876005, Time  0.414235
2021-09-22 20:37:50.040948 : Epoch  1, Batch    185, Loss  0.819272, Average Loss  0.924315, Time  0.254466
2021-09-22 20:37:51.940704 : Epoch  1, Batch    186, Loss  0.819063, Average Loss  0.923750, Time  0.253392
2021-09-22 20:37:53.345855 : Epoch  2, Batch    335, Loss  0.860756, Average Loss  0.875856, Time  0.414505
2021-09-22 20:37:53.842938 : Epoch  1, Batch    187, Loss  0.812231, Average Loss  0.923153, Time  0.255176
2021-09-22 20:37:55.800466 : Epoch  1, Batch    188, Loss  0.806384, Average Loss  0.922532, Time  0.307463
2021-09-22 20:37:57.692088 : Epoch  1, Batch    189, Loss  0.826136, Average Loss  0.922022, Time  0.253233
2021-09-22 20:37:58.539283 : Epoch  2, Batch    336, Loss  0.885762, Average Loss  0.875938, Time  0.460100
2021-09-22 20:37:59.617080 : Epoch  1, Batch    190, Loss  0.815501, Average Loss  0.921461, Time  0.257006
2021-09-22 20:38:01.528268 : Epoch  1, Batch    191, Loss  0.812490, Average Loss  0.920891, Time  0.255730
2021-09-22 20:38:03.481579 : Epoch  1, Batch    192, Loss  0.811535, Average Loss  0.920321, Time  0.254741
2021-09-22 20:38:03.616000 : Epoch  2, Batch    337, Loss  0.867757, Average Loss  0.875912, Time  0.414474
2021-09-22 20:38:05.398474 : Epoch  1, Batch    193, Loss  0.807373, Average Loss  0.919736, Time  0.253466
2021-09-22 20:38:07.309523 : Epoch  1, Batch    194, Loss  0.826660, Average Loss  0.919256, Time  0.255435
2021-09-22 20:38:08.704827 : Epoch  2, Batch    338, Loss  0.872848, Average Loss  0.875847, Time  0.414396
2021-09-22 20:38:09.303773 : Epoch  1, Batch    195, Loss  0.808436, Average Loss  0.918688, Time  0.334276
2021-09-22 20:38:11.271495 : Epoch  1, Batch    196, Loss  0.801715, Average Loss  0.918091, Time  0.254530
2021-09-22 20:38:13.180121 : Epoch  1, Batch    197, Loss  0.810860, Average Loss  0.917547, Time  0.254225
2021-09-22 20:38:13.806054 : Epoch  2, Batch    339, Loss  0.880097, Average Loss  0.875900, Time  0.414327
2021-09-22 20:38:15.119866 : Epoch  1, Batch    198, Loss  0.807326, Average Loss  0.916990, Time  0.253863
2021-09-22 20:38:17.050630 : Epoch  1, Batch    199, Loss  0.806964, Average Loss  0.916437, Time  0.253838
2021-09-22 20:38:18.874974 : Epoch  2, Batch    340, Loss  0.868285, Average Loss  0.875854, Time  0.414426
2021-09-22 20:38:18.965826 : Epoch  1, Batch    200, Loss  0.809944, Average Loss  0.915905, Time  0.253848
2021-09-22 20:38:23.941758 : Epoch  2, Batch    341, Loss  0.878960, Average Loss  0.875820, Time  0.415427
2021-09-22 20:38:28.992770 : Epoch  2, Batch    342, Loss  0.890909, Average Loss  0.875948, Time  0.413751
2021-09-22 20:38:32.885218 : CheckPoint: Validation Loss  0.00034375, Best Loss  0.00034273
2021-09-22 20:38:34.084850 : Epoch  2, Batch    343, Loss  0.884533, Average Loss  0.875982, Time  0.435503
2021-09-22 20:38:34.822981 : Epoch  1, Batch    201, Loss  0.812986, Average Loss  0.890665, Time  0.299655
2021-09-22 20:38:36.710030 : Epoch  1, Batch    202, Loss  0.798705, Average Loss  0.888928, Time  0.251510
2021-09-22 20:38:38.611436 : Epoch  1, Batch    203, Loss  0.814872, Average Loss  0.887278, Time  0.258806
2021-09-22 20:38:39.203915 : Epoch  2, Batch    344, Loss  0.864751, Average Loss  0.875956, Time  0.416478
2021-09-22 20:38:40.500187 : Epoch  1, Batch    204, Loss  0.802543, Average Loss  0.885648, Time  0.250516
2021-09-22 20:38:42.384795 : Epoch  1, Batch    205, Loss  0.817344, Average Loss  0.884052, Time  0.251439
2021-09-22 20:38:44.292361 : Epoch  1, Batch    206, Loss  0.816446, Average Loss  0.882444, Time  0.250644
2021-09-22 20:38:44.351948 : Epoch  2, Batch    345, Loss  0.871283, Average Loss  0.875924, Time  0.461051
2021-09-22 20:38:46.208896 : Epoch  1, Batch    207, Loss  0.806318, Average Loss  0.880852, Time  0.252764
2021-09-22 20:38:48.170708 : Epoch  1, Batch    208, Loss  0.814942, Average Loss  0.879295, Time  0.324157
2021-09-22 20:38:49.423920 : Epoch  2, Batch    346, Loss  0.874849, Average Loss  0.875881, Time  0.414917
2021-09-22 20:38:50.051251 : Epoch  1, Batch    209, Loss  0.809119, Average Loss  0.877741, Time  0.248634
2021-09-22 20:38:51.930331 : Epoch  1, Batch    210, Loss  0.803432, Average Loss  0.876153, Time  0.249866
2021-09-22 20:38:53.830441 : Epoch  1, Batch    211, Loss  0.810383, Average Loss  0.874646, Time  0.252433
2021-09-22 20:38:54.490882 : Epoch  2, Batch    347, Loss  0.883765, Average Loss  0.875898, Time  0.416371
2021-09-22 20:38:55.717207 : Epoch  1, Batch    212, Loss  0.802586, Average Loss  0.873166, Time  0.251458
2021-09-22 20:38:57.589794 : Epoch  1, Batch    213, Loss  0.814752, Average Loss  0.871807, Time  0.250319
2021-09-22 20:38:59.467688 : Epoch  1, Batch    214, Loss  0.809273, Average Loss  0.870461, Time  0.250544
2021-09-22 20:38:59.545434 : Epoch  2, Batch    348, Loss  0.880138, Average Loss  0.875878, Time  0.414557
2021-09-22 20:39:01.445679 : Epoch  1, Batch    215, Loss  0.806159, Average Loss  0.869103, Time  0.328774
2021-09-22 20:39:03.358165 : Epoch  1, Batch    216, Loss  0.813430, Average Loss  0.867890, Time  0.251548
2021-09-22 20:39:04.638030 : Epoch  2, Batch    349, Loss  0.879159, Average Loss  0.875947, Time  0.414288
2021-09-22 20:39:05.272999 : Epoch  1, Batch    217, Loss  0.813213, Average Loss  0.866662, Time  0.255116
2021-09-22 20:39:07.174183 : Epoch  1, Batch    218, Loss  0.808572, Average Loss  0.865489, Time  0.253501
2021-09-22 20:39:09.079873 : Epoch  1, Batch    219, Loss  0.808148, Average Loss  0.864346, Time  0.251351
2021-09-22 20:39:09.727820 : Epoch  2, Batch    350, Loss  0.866553, Average Loss  0.875937, Time  0.414750
2021-09-22 20:39:10.992567 : Epoch  1, Batch    220, Loss  0.816430, Average Loss  0.863226, Time  0.260318
2021-09-22 20:39:12.892215 : Epoch  1, Batch    221, Loss  0.805050, Average Loss  0.862112, Time  0.251084
2021-09-22 20:39:14.776810 : Epoch  2, Batch    351, Loss  0.874562, Average Loss  0.875951, Time  0.413655
2021-09-22 20:39:14.896437 : Epoch  1, Batch    222, Loss  0.812954, Average Loss  0.861063, Time  0.325882
2021-09-22 20:39:16.804014 : Epoch  1, Batch    223, Loss  0.807727, Average Loss  0.860003, Time  0.250732
2021-09-22 20:39:18.748609 : Epoch  1, Batch    224, Loss  0.807553, Average Loss  0.859007, Time  0.251294
2021-09-22 20:39:19.891052 : Epoch  2, Batch    352, Loss  0.883684, Average Loss  0.876010, Time  0.416287
2021-09-22 20:39:20.648950 : Epoch  1, Batch    225, Loss  0.814000, Average Loss  0.858061, Time  0.251304
2021-09-22 20:39:22.556273 : Epoch  1, Batch    226, Loss  0.810290, Average Loss  0.857144, Time  0.253569
2021-09-22 20:39:24.459166 : Epoch  1, Batch    227, Loss  0.812390, Average Loss  0.856253, Time  0.253662
2021-09-22 20:39:25.026807 : Epoch  2, Batch    353, Loss  0.877138, Average Loss  0.876002, Time  0.414575
2021-09-22 20:39:26.351128 : Epoch  1, Batch    228, Loss  0.814394, Average Loss  0.855389, Time  0.251041
2021-09-22 20:39:28.319189 : Epoch  1, Batch    229, Loss  0.820147, Average Loss  0.854572, Time  0.321551
2021-09-22 20:39:30.165949 : Epoch  2, Batch    354, Loss  0.884018, Average Loss  0.876055, Time  0.467134
2021-09-22 20:39:30.248538 : Epoch  1, Batch    230, Loss  0.802232, Average Loss  0.853647, Time  0.255655
2021-09-22 20:39:30.411764 : CheckPoint: Validation Loss  0.00034062, Best Loss  0.00034062
2021-09-22 20:39:30.460606 : Best Model Updated
2021-09-22 20:39:32.176989 : Epoch  1, Batch    231, Loss  0.810563, Average Loss  0.852794, Time  0.249986
2021-09-22 20:39:33.162390 : Epoch  1, Batch    201, Loss  0.805282, Average Loss  0.913627, Time  0.255182
2021-09-22 20:39:34.066175 : Epoch  1, Batch    232, Loss  0.812546, Average Loss  0.851976, Time  0.254980
2021-09-22 20:39:35.068275 : Epoch  1, Batch    202, Loss  0.810830, Average Loss  0.911362, Time  0.253806
2021-09-22 20:39:35.245851 : Epoch  2, Batch    355, Loss  0.874181, Average Loss  0.875976, Time  0.419019
2021-09-22 20:39:35.963645 : Epoch  1, Batch    233, Loss  0.811990, Average Loss  0.851156, Time  0.249898
2021-09-22 20:39:36.978246 : Epoch  1, Batch    203, Loss  0.808423, Average Loss  0.909134, Time  0.253750
2021-09-22 20:39:37.860811 : Epoch  1, Batch    234, Loss  0.806147, Average Loss  0.850337, Time  0.251255
2021-09-22 20:39:38.873359 : Epoch  1, Batch    204, Loss  0.805133, Average Loss  0.906861, Time  0.253385
2021-09-22 20:39:39.758593 : Epoch  1, Batch    235, Loss  0.810839, Average Loss  0.849532, Time  0.252341
2021-09-22 20:39:40.308216 : Epoch  2, Batch    356, Loss  0.870645, Average Loss  0.875950, Time  0.415473
2021-09-22 20:39:40.765767 : Epoch  1, Batch    205, Loss  0.812537, Average Loss  0.904682, Time  0.253426
2021-09-22 20:39:41.635931 : Epoch  1, Batch    236, Loss  0.815604, Average Loss  0.848782, Time  0.252680
2021-09-22 20:39:42.667321 : Epoch  1, Batch    206, Loss  0.801271, Average Loss  0.902445, Time  0.256525
2021-09-22 20:39:43.536156 : Epoch  1, Batch    237, Loss  0.804466, Average Loss  0.847980, Time  0.258051
2021-09-22 20:39:44.565721 : Epoch  1, Batch    207, Loss  0.811371, Average Loss  0.900308, Time  0.255200
2021-09-22 20:39:45.417777 : Epoch  2, Batch    357, Loss  0.867523, Average Loss  0.875943, Time  0.415058
2021-09-22 20:39:45.428100 : Epoch  1, Batch    238, Loss  0.802924, Average Loss  0.847178, Time  0.250403
2021-09-22 20:39:46.458918 : Epoch  1, Batch    208, Loss  0.816462, Average Loss  0.898249, Time  0.253336
2021-09-22 20:39:47.335383 : Epoch  1, Batch    239, Loss  0.813041, Average Loss  0.846427, Time  0.252510
2021-09-22 20:39:48.365467 : Epoch  1, Batch    209, Loss  0.806826, Average Loss  0.896168, Time  0.253422
2021-09-22 20:39:49.212637 : Epoch  1, Batch    240, Loss  0.807187, Average Loss  0.845630, Time  0.251601
2021-09-22 20:39:50.290793 : Epoch  1, Batch    210, Loss  0.810954, Average Loss  0.894169, Time  0.253581
2021-09-22 20:39:50.479165 : Epoch  2, Batch    358, Loss  0.870956, Average Loss  0.875904, Time  0.415488
2021-09-22 20:39:51.108681 : Epoch  1, Batch    241, Loss  0.808391, Average Loss  0.844893, Time  0.250228
2021-09-22 20:39:52.189927 : Epoch  1, Batch    211, Loss  0.810225, Average Loss  0.892253, Time  0.254881
2021-09-22 20:39:52.997966 : Epoch  1, Batch    242, Loss  0.809499, Average Loss  0.844135, Time  0.252516
2021-09-22 20:39:54.095945 : Epoch  1, Batch    212, Loss  0.807740, Average Loss  0.890385, Time  0.253893
2021-09-22 20:39:54.886916 : Epoch  1, Batch    243, Loss  0.804221, Average Loss  0.843356, Time  0.253190
2021-09-22 20:39:55.598161 : Epoch  2, Batch    359, Loss  0.874241, Average Loss  0.875877, Time  0.413701
2021-09-22 20:39:55.992440 : Epoch  1, Batch    213, Loss  0.813618, Average Loss  0.888588, Time  0.254792
2021-09-22 20:39:56.763888 : Epoch  1, Batch    244, Loss  0.808372, Average Loss  0.842640, Time  0.251697
2021-09-22 20:39:57.891439 : Epoch  1, Batch    214, Loss  0.809502, Average Loss  0.886817, Time  0.254457
2021-09-22 20:39:58.641554 : Epoch  1, Batch    245, Loss  0.804212, Average Loss  0.841883, Time  0.250704
2021-09-22 20:39:59.777822 : Epoch  1, Batch    215, Loss  0.804709, Average Loss  0.885099, Time  0.253265
2021-09-22 20:40:00.531430 : Epoch  1, Batch    246, Loss  0.810007, Average Loss  0.841143, Time  0.250207
2021-09-22 20:40:00.695003 : Epoch  2, Batch    360, Loss  0.877624, Average Loss  0.875896, Time  0.414416
2021-09-22 20:40:01.681382 : Epoch  1, Batch    216, Loss  0.807676, Average Loss  0.883468, Time  0.253683
2021-09-22 20:40:02.429471 : Epoch  1, Batch    247, Loss  0.806672, Average Loss  0.840392, Time  0.251487
2021-09-22 20:40:03.603043 : Epoch  1, Batch    217, Loss  0.816936, Average Loss  0.881941, Time  0.258117
2021-09-22 20:40:04.299795 : Epoch  1, Batch    248, Loss  0.805755, Average Loss  0.839633, Time  0.250828
2021-09-22 20:40:05.529949 : Epoch  1, Batch    218, Loss  0.801671, Average Loss  0.880427, Time  0.259254
2021-09-22 20:40:05.781109 : Epoch  2, Batch    361, Loss  0.874455, Average Loss  0.875857, Time  0.421237
2021-09-22 20:40:06.177833 : Epoch  1, Batch    249, Loss  0.807763, Average Loss  0.838909, Time  0.251371
2021-09-22 20:40:07.450015 : Epoch  1, Batch    219, Loss  0.810602, Average Loss  0.878994, Time  0.256078
2021-09-22 20:40:08.089730 : Epoch  1, Batch    250, Loss  0.813178, Average Loss  0.838197, Time  0.253270
2021-09-22 20:40:09.360406 : Epoch  1, Batch    220, Loss  0.808565, Average Loss  0.877621, Time  0.265623
2021-09-22 20:40:09.967795 : Epoch  1, Batch    251, Loss  0.808922, Average Loss  0.837468, Time  0.250862
2021-09-22 20:40:10.894857 : Epoch  2, Batch    362, Loss  0.866057, Average Loss  0.875812, Time  0.414353
2021-09-22 20:40:11.255385 : Epoch  1, Batch    221, Loss  0.819432, Average Loss  0.876356, Time  0.253369
2021-09-22 20:40:11.847477 : Epoch  1, Batch    252, Loss  0.802986, Average Loss  0.836732, Time  0.253437
2021-09-22 20:40:13.146022 : Epoch  1, Batch    222, Loss  0.813741, Average Loss  0.875102, Time  0.254429
2021-09-22 20:40:13.739483 : Epoch  1, Batch    253, Loss  0.810486, Average Loss  0.836012, Time  0.250889
2021-09-22 20:40:15.081609 : Epoch  1, Batch    223, Loss  0.814525, Average Loss  0.873905, Time  0.257334
2021-09-22 20:40:15.629716 : Epoch  1, Batch    254, Loss  0.800263, Average Loss  0.835275, Time  0.256460
2021-09-22 20:40:16.028980 : Epoch  2, Batch    363, Loss  0.885993, Average Loss  0.875861, Time  0.461077
2021-09-22 20:40:16.988147 : Epoch  1, Batch    224, Loss  0.804734, Average Loss  0.872691, Time  0.266013
2021-09-22 20:40:17.513046 : Epoch  1, Batch    255, Loss  0.815261, Average Loss  0.834588, Time  0.250568
2021-09-22 20:40:18.888211 : Epoch  1, Batch    225, Loss  0.809695, Average Loss  0.871600, Time  0.255573
2021-09-22 20:40:19.392153 : Epoch  1, Batch    256, Loss  0.813004, Average Loss  0.833889, Time  0.249807
2021-09-22 20:40:20.815372 : Epoch  1, Batch    226, Loss  0.808820, Average Loss  0.870498, Time  0.263238
2021-09-22 20:40:21.132848 : Epoch  2, Batch    364, Loss  0.879404, Average Loss  0.875864, Time  0.414515
2021-09-22 20:40:21.286330 : Epoch  1, Batch    257, Loss  0.800544, Average Loss  0.833130, Time  0.254464
2021-09-22 20:40:22.726417 : Epoch  1, Batch    227, Loss  0.804774, Average Loss  0.869423, Time  0.257015
2021-09-22 20:40:23.157248 : Epoch  1, Batch    258, Loss  0.806688, Average Loss  0.832405, Time  0.251294
2021-09-22 20:40:24.642189 : Epoch  1, Batch    228, Loss  0.807261, Average Loss  0.868373, Time  0.255250
2021-09-22 20:40:25.034440 : Epoch  1, Batch    259, Loss  0.810329, Average Loss  0.831752, Time  0.251816
2021-09-22 20:40:26.234222 : Epoch  2, Batch    365, Loss  0.875783, Average Loss  0.875790, Time  0.415650
2021-09-22 20:40:26.558411 : Epoch  1, Batch    229, Loss  0.802965, Average Loss  0.867308, Time  0.253335
2021-09-22 20:40:26.903159 : Epoch  1, Batch    260, Loss  0.806821, Average Loss  0.831029, Time  0.250806
2021-09-22 20:40:28.453370 : Epoch  1, Batch    230, Loss  0.811600, Average Loss  0.866342, Time  0.254122
2021-09-22 20:40:28.785439 : Epoch  1, Batch    261, Loss  0.805415, Average Loss  0.830328, Time  0.252393
2021-09-22 20:40:30.358835 : Epoch  1, Batch    231, Loss  0.813679, Average Loss  0.865389, Time  0.253421
2021-09-22 20:40:30.674218 : Epoch  1, Batch    262, Loss  0.805225, Average Loss  0.829621, Time  0.250354
2021-09-22 20:40:31.311907 : Epoch  2, Batch    366, Loss  0.868869, Average Loss  0.875705, Time  0.414468
2021-09-22 20:40:32.244634 : Epoch  1, Batch    232, Loss  0.801528, Average Loss  0.864401, Time  0.253078
2021-09-22 20:40:32.534474 : Epoch  1, Batch    263, Loss  0.817023, Average Loss  0.828981, Time  0.249822
2021-09-22 20:40:34.135137 : Epoch  1, Batch    233, Loss  0.808218, Average Loss  0.863510, Time  0.255191
2021-09-22 20:40:34.385958 : Epoch  1, Batch    264, Loss  0.798405, Average Loss  0.828236, Time  0.250198
2021-09-22 20:40:36.141969 : Epoch  1, Batch    234, Loss  0.816569, Average Loss  0.862700, Time  0.330168
2021-09-22 20:40:36.302022 : Epoch  1, Batch    265, Loss  0.811888, Average Loss  0.827573, Time  0.296033
2021-09-22 20:40:36.371903 : Epoch  2, Batch    367, Loss  0.872205, Average Loss  0.875701, Time  0.414205
2021-09-22 20:40:38.208813 : Epoch  1, Batch    235, Loss  0.811412, Average Loss  0.861811, Time  0.417078
2021-09-22 20:40:38.303295 : Epoch  1, Batch    266, Loss  0.807898, Average Loss  0.826885, Time  0.379529
2021-09-22 20:40:40.356929 : Epoch  1, Batch    236, Loss  0.806736, Average Loss  0.860955, Time  0.501025
2021-09-22 20:40:40.382355 : Epoch  1, Batch    267, Loss  0.799987, Average Loss  0.826201, Time  0.471467
2021-09-22 20:40:41.442027 : Epoch  2, Batch    368, Loss  0.873134, Average Loss  0.875675, Time  0.414077
2021-09-22 20:40:42.498545 : Epoch  1, Batch    268, Loss  0.813125, Average Loss  0.825550, Time  0.504221
2021-09-22 20:40:42.522526 : Epoch  1, Batch    237, Loss  0.817164, Average Loss  0.860125, Time  0.485422
2021-09-22 20:40:44.655084 : Epoch  1, Batch    269, Loss  0.810503, Average Loss  0.824886, Time  0.510839
2021-09-22 20:40:44.680940 : Epoch  1, Batch    238, Loss  0.815055, Average Loss  0.859313, Time  0.492231
2021-09-22 20:40:46.502265 : Epoch  2, Batch    369, Loss  0.877591, Average Loss  0.875689, Time  0.416225
2021-09-22 20:40:46.759150 : Epoch  1, Batch    270, Loss  0.820741, Average Loss  0.824268, Time  0.491380
2021-09-22 20:40:46.812863 : Epoch  1, Batch    239, Loss  0.810103, Average Loss  0.858492, Time  0.455393
2021-09-22 20:40:48.744778 : Epoch  1, Batch    240, Loss  0.807252, Average Loss  0.857662, Time  0.258532
2021-09-22 20:40:50.649302 : Epoch  1, Batch    241, Loss  0.800511, Average Loss  0.856820, Time  0.255275
2021-09-22 20:40:50.958093 : Epoch  1, Batch    271, Loss  0.806626, Average Loss  0.823583, Time  0.250827
2021-09-22 20:40:51.674991 : Epoch  2, Batch    370, Loss  0.878732, Average Loss  0.875742, Time  0.440329
2021-09-22 20:40:52.551161 : Epoch  1, Batch    242, Loss  0.808397, Average Loss  0.856032, Time  0.258945
2021-09-22 20:40:52.863051 : Epoch  1, Batch    272, Loss  0.805345, Average Loss  0.822903, Time  0.251302
2021-09-22 20:40:54.455918 : Epoch  1, Batch    243, Loss  0.811469, Average Loss  0.855260, Time  0.253458
2021-09-22 20:40:54.787660 : Epoch  1, Batch    273, Loss  0.805289, Average Loss  0.822232, Time  0.250211
2021-09-22 20:40:56.344847 : Epoch  1, Batch    244, Loss  0.807035, Average Loss  0.854473, Time  0.255493
2021-09-22 20:40:56.687049 : Epoch  1, Batch    274, Loss  0.809216, Average Loss  0.821565, Time  0.250995
2021-09-22 20:40:56.756878 : Epoch  2, Batch    371, Loss  0.877675, Average Loss  0.875757, Time  0.415007
2021-09-22 20:40:58.239208 : Epoch  1, Batch    245, Loss  0.810794, Average Loss  0.853723, Time  0.254184
2021-09-22 20:40:58.569844 : Epoch  1, Batch    275, Loss  0.809174, Average Loss  0.820932, Time  0.250050
2021-09-22 20:41:00.126404 : Epoch  1, Batch    246, Loss  0.814165, Average Loss  0.852984, Time  0.253721
2021-09-22 20:41:00.459603 : Epoch  1, Batch    276, Loss  0.802369, Average Loss  0.820254, Time  0.251076
2021-09-22 20:41:01.902901 : Epoch  2, Batch    372, Loss  0.875198, Average Loss  0.875757, Time  0.473724
2021-09-22 20:41:02.013647 : Epoch  1, Batch    247, Loss  0.809892, Average Loss  0.852231, Time  0.254284
2021-09-22 20:41:02.325973 : Epoch  1, Batch    277, Loss  0.803143, Average Loss  0.819585, Time  0.250143
2021-09-22 20:41:03.892859 : Epoch  1, Batch    248, Loss  0.804167, Average Loss  0.851441, Time  0.253833
2021-09-22 20:41:04.192344 : Epoch  1, Batch    278, Loss  0.811546, Average Loss  0.818966, Time  0.250420
2021-09-22 20:41:05.782388 : Epoch  1, Batch    249, Loss  0.810548, Average Loss  0.850704, Time  0.253735
2021-09-22 20:41:06.046255 : Epoch  1, Batch    279, Loss  0.813019, Average Loss  0.818379, Time  0.250054
2021-09-22 20:41:07.674036 : Epoch  1, Batch    250, Loss  0.811751, Average Loss  0.849986, Time  0.254184
2021-09-22 20:41:07.915145 : Epoch  1, Batch    280, Loss  0.803478, Average Loss  0.817748, Time  0.256924
2021-09-22 20:41:09.669261 : Epoch  1, Batch    251, Loss  0.810576, Average Loss  0.849236, Time  0.329651
2021-09-22 20:41:09.823105 : Epoch  1, Batch    281, Loss  0.811396, Average Loss  0.817189, Time  0.293811
2021-09-22 20:41:11.727234 : Epoch  1, Batch    252, Loss  0.810664, Average Loss  0.848520, Time  0.416985
2021-09-22 20:41:11.813916 : Epoch  1, Batch    282, Loss  0.812068, Average Loss  0.816606, Time  0.379413
2021-09-22 20:41:13.893862 : Epoch  1, Batch    253, Loss  0.804364, Average Loss  0.847729, Time  0.502454
2021-09-22 20:41:13.920302 : Epoch  1, Batch    283, Loss  0.793162, Average Loss  0.815997, Time  0.467050
2021-09-22 20:41:16.049734 : Epoch  1, Batch    254, Loss  0.818668, Average Loss  0.847055, Time  0.516312
2021-09-22 20:41:16.072702 : Epoch  1, Batch    284, Loss  0.807977, Average Loss  0.815417, Time  0.498868
2021-09-22 20:41:18.205150 : Epoch  1, Batch    255, Loss  0.804955, Average Loss  0.846297, Time  0.520169
2021-09-22 20:41:18.205221 : Epoch  1, Batch    285, Loss  0.814451, Average Loss  0.814929, Time  0.508535
2021-09-22 20:41:20.373681 : Epoch  1, Batch    286, Loss  0.802253, Average Loss  0.814413, Time  0.514591
2021-09-22 20:41:20.402035 : Epoch  1, Batch    256, Loss  0.809062, Average Loss  0.845552, Time  0.505367
2021-09-22 20:41:22.483495 : Epoch  1, Batch    287, Loss  0.814493, Average Loss  0.814025, Time  0.493273
2021-09-22 20:41:22.513795 : Epoch  1, Batch    257, Loss  0.802446, Average Loss  0.844768, Time  0.457857
2021-09-22 20:41:24.567981 : Epoch  1, Batch    288, Loss  0.811135, Average Loss  0.813662, Time  0.468627
2021-09-22 20:41:24.630227 : Epoch  1, Batch    258, Loss  0.806660, Average Loss  0.844039, Time  0.445044
2021-09-22 20:41:26.633645 : Epoch  1, Batch    289, Loss  0.804207, Average Loss  0.813363, Time  0.447219
2021-09-22 20:41:26.706022 : Epoch  1, Batch    259, Loss  0.815196, Average Loss  0.843366, Time  0.422747
2021-09-22 20:41:28.722345 : Epoch  1, Batch    290, Loss  0.815151, Average Loss  0.813192, Time  0.451783
2021-09-22 20:41:28.785866 : Epoch  1, Batch    260, Loss  0.812534, Average Loss  0.842662, Time  0.422478
2021-09-22 20:41:30.770973 : Epoch  1, Batch    291, Loss  0.803200, Average Loss  0.813005, Time  0.421958
2021-09-22 20:41:30.858890 : Epoch  1, Batch    261, Loss  0.812724, Average Loss  0.841963, Time  0.395607
2021-09-22 20:41:32.820818 : Epoch  1, Batch    292, Loss  0.817797, Average Loss  0.812869, Time  0.416445
2021-09-22 20:41:32.921637 : Epoch  1, Batch    262, Loss  0.807558, Average Loss  0.841267, Time  0.386992
2021-09-22 20:41:34.854219 : Epoch  1, Batch    293, Loss  0.803129, Average Loss  0.812672, Time  0.416615
2021-09-22 20:41:34.956051 : Epoch  1, Batch    263, Loss  0.797643, Average Loss  0.840500, Time  0.387917
2021-09-22 20:41:36.869965 : Epoch  1, Batch    294, Loss  0.806641, Average Loss  0.812514, Time  0.396709
2021-09-22 20:41:36.974811 : Epoch  1, Batch    264, Loss  0.817806, Average Loss  0.839829, Time  0.364689
2021-09-22 20:41:38.893996 : Epoch  1, Batch    295, Loss  0.800666, Average Loss  0.812258, Time  0.402545
2021-09-22 20:41:38.994312 : Epoch  1, Batch    265, Loss  0.817937, Average Loss  0.839149, Time  0.374205
2021-09-22 20:41:40.934490 : Epoch  1, Batch    296, Loss  0.808379, Average Loss  0.812074, Time  0.420517
2021-09-22 20:41:41.027472 : Epoch  1, Batch    266, Loss  0.815883, Average Loss  0.838463, Time  0.387322
2021-09-22 20:41:42.941560 : Epoch  1, Batch    297, Loss  0.803276, Average Loss  0.811927, Time  0.373115
2021-09-22 20:41:43.067506 : Epoch  1, Batch    267, Loss  0.808235, Average Loss  0.837729, Time  0.339414
2021-09-22 20:41:44.930308 : Epoch  1, Batch    298, Loss  0.822894, Average Loss  0.811912, Time  0.369183
2021-09-22 20:41:45.057592 : Epoch  1, Batch    268, Loss  0.809808, Average Loss  0.837028, Time  0.338941
2021-09-22 20:41:46.938024 : Epoch  1, Batch    299, Loss  0.807580, Average Loss  0.811836, Time  0.369665
2021-09-22 20:41:47.067283 : Epoch  1, Batch    269, Loss  0.808011, Average Loss  0.836325, Time  0.342667
2021-09-22 20:41:48.967730 : Epoch  1, Batch    300, Loss  0.799563, Average Loss  0.811739, Time  0.394180
2021-09-22 20:41:49.077474 : Epoch  1, Batch    270, Loss  0.803824, Average Loss  0.835609, Time  0.364294
2021-09-22 20:41:53.253967 : Epoch  1, Batch    271, Loss  0.806472, Average Loss  0.834908, Time  0.284632
2021-09-22 20:41:55.174833 : Epoch  1, Batch    272, Loss  0.794971, Average Loss  0.834142, Time  0.269541
2021-09-22 20:41:57.099559 : Epoch  1, Batch    273, Loss  0.797766, Average Loss  0.833395, Time  0.263563
2021-09-22 20:41:58.988140 : Epoch  1, Batch    274, Loss  0.811594, Average Loss  0.832727, Time  0.253099
2021-09-22 20:42:00.894987 : Epoch  1, Batch    275, Loss  0.810402, Average Loss  0.832041, Time  0.256901
2021-09-22 20:42:02.779221 : Epoch  1, Batch    276, Loss  0.797784, Average Loss  0.831288, Time  0.253577
2021-09-22 20:42:04.720975 : Epoch  1, Batch    277, Loss  0.818405, Average Loss  0.830622, Time  0.304212
2021-09-22 20:42:06.625225 : Epoch  1, Batch    278, Loss  0.805461, Average Loss  0.829925, Time  0.254087
2021-09-22 20:42:08.521535 : Epoch  1, Batch    279, Loss  0.807755, Average Loss  0.829210, Time  0.254612
2021-09-22 20:42:10.414677 : Epoch  1, Batch    280, Loss  0.805314, Average Loss  0.828505, Time  0.256584
2021-09-22 20:42:12.319955 : Epoch  1, Batch    281, Loss  0.807254, Average Loss  0.827822, Time  0.254782
2021-09-22 20:42:14.239361 : Epoch  1, Batch    282, Loss  0.822135, Average Loss  0.827212, Time  0.257384
2021-09-22 20:42:16.204974 : Epoch  1, Batch    283, Loss  0.809906, Average Loss  0.826578, Time  0.326105
2021-09-22 20:42:18.102387 : Epoch  1, Batch    284, Loss  0.813198, Average Loss  0.825927, Time  0.254169
2021-09-22 20:42:20.004878 : Epoch  1, Batch    285, Loss  0.804705, Average Loss  0.825253, Time  0.254640
2021-09-22 20:42:21.914144 : Epoch  1, Batch    286, Loss  0.821308, Average Loss  0.824647, Time  0.253803
2021-09-22 20:42:23.822436 : Epoch  1, Batch    287, Loss  0.797495, Average Loss  0.823925, Time  0.255137
2021-09-22 20:42:25.715412 : Epoch  1, Batch    288, Loss  0.808835, Average Loss  0.823298, Time  0.254808
2021-09-22 20:42:27.689833 : Epoch  1, Batch    289, Loss  0.816299, Average Loss  0.822703, Time  0.328929
2021-09-22 20:42:29.601399 : Epoch  1, Batch    290, Loss  0.811786, Average Loss  0.822082, Time  0.254207
2021-09-22 20:42:31.512842 : Epoch  1, Batch    291, Loss  0.811146, Average Loss  0.821465, Time  0.254641
2021-09-22 20:42:33.414969 : Epoch  1, Batch    292, Loss  0.809494, Average Loss  0.820855, Time  0.255560
2021-09-22 20:42:35.315694 : Epoch  1, Batch    293, Loss  0.808562, Average Loss  0.820251, Time  0.254063
2021-09-22 20:42:37.218198 : Epoch  1, Batch    294, Loss  0.808150, Average Loss  0.819644, Time  0.254140
2021-09-22 20:42:39.181265 : Epoch  1, Batch    295, Loss  0.813561, Average Loss  0.819090, Time  0.328060
2021-09-22 20:42:41.086351 : Epoch  1, Batch    296, Loss  0.804852, Average Loss  0.818484, Time  0.254062
2021-09-22 20:42:42.985114 : Epoch  1, Batch    297, Loss  0.808692, Average Loss  0.817893, Time  0.255242
2021-09-22 20:42:44.897211 : Epoch  1, Batch    298, Loss  0.806276, Average Loss  0.817301, Time  0.254551
2021-09-22 20:42:46.796621 : Epoch  1, Batch    299, Loss  0.815218, Average Loss  0.816788, Time  0.253165
2021-09-22 20:42:48.712697 : Epoch  1, Batch    300, Loss  0.801944, Average Loss  0.816215, Time  0.262448
2021-09-22 20:42:59.401570 : CheckPoint: Validation Loss  0.00034709, Best Loss  0.00034273
2021-09-22 20:43:01.283735 : Epoch  1, Batch    301, Loss  0.803766, Average Loss  0.811635, Time  0.250659
2021-09-22 20:43:03.165979 : Epoch  1, Batch    302, Loss  0.803278, Average Loss  0.811486, Time  0.250764
2021-09-22 20:43:05.078370 : Epoch  1, Batch    303, Loss  0.807183, Average Loss  0.811381, Time  0.251016
2021-09-22 20:43:06.998764 : Epoch  1, Batch    304, Loss  0.808167, Average Loss  0.811287, Time  0.250757
2021-09-22 20:43:08.874321 : Epoch  1, Batch    305, Loss  0.802646, Average Loss  0.811192, Time  0.250165
2021-09-22 20:43:10.749377 : Epoch  1, Batch    306, Loss  0.805198, Average Loss  0.811103, Time  0.252330
2021-09-22 20:43:12.616210 : Epoch  1, Batch    307, Loss  0.804002, Average Loss  0.811009, Time  0.250110
2021-09-22 20:43:14.580267 : Epoch  1, Batch    308, Loss  0.808729, Average Loss  0.810878, Time  0.328524
2021-09-22 20:43:16.468009 : Epoch  1, Batch    309, Loss  0.814820, Average Loss  0.810820, Time  0.250136
2021-09-22 20:43:18.338240 : Epoch  1, Batch    310, Loss  0.813876, Average Loss  0.810801, Time  0.250333
2021-09-22 20:43:20.217388 : Epoch  1, Batch    311, Loss  0.805785, Average Loss  0.810721, Time  0.249831
2021-09-22 20:43:22.098727 : Epoch  1, Batch    312, Loss  0.811128, Average Loss  0.810698, Time  0.250739
2021-09-22 20:43:23.963193 : Epoch  1, Batch    313, Loss  0.805655, Average Loss  0.810591, Time  0.250083
2021-09-22 20:43:25.847636 : Epoch  1, Batch    314, Loss  0.808152, Average Loss  0.810514, Time  0.254831
2021-09-22 20:43:27.729383 : Epoch  1, Batch    315, Loss  0.807800, Average Loss  0.810463, Time  0.252781
2021-09-22 20:43:29.691743 : Epoch  1, Batch    316, Loss  0.806079, Average Loss  0.810405, Time  0.328203
2021-09-22 20:43:31.558369 : Epoch  1, Batch    317, Loss  0.809438, Average Loss  0.810360, Time  0.250643
2021-09-22 20:43:33.437087 : Epoch  1, Batch    318, Loss  0.806769, Average Loss  0.810222, Time  0.251997
2021-09-22 20:43:35.319169 : Epoch  1, Batch    319, Loss  0.822229, Average Loss  0.810246, Time  0.249872
2021-09-22 20:43:37.212283 : Epoch  1, Batch    320, Loss  0.806816, Average Loss  0.810196, Time  0.251327
2021-09-22 20:43:39.113299 : Epoch  1, Batch    321, Loss  0.812576, Average Loss  0.810147, Time  0.249806
2021-09-22 20:43:41.008058 : Epoch  1, Batch    322, Loss  0.807555, Average Loss  0.810080, Time  0.251491
2021-09-22 20:43:42.882911 : Epoch  1, Batch    323, Loss  0.798683, Average Loss  0.809978, Time  0.250104
2021-09-22 20:43:44.855876 : Epoch  1, Batch    324, Loss  0.813356, Average Loss  0.809938, Time  0.326898
2021-09-22 20:43:46.736429 : Epoch  1, Batch    325, Loss  0.805416, Average Loss  0.809865, Time  0.254967
2021-09-22 20:43:48.624327 : Epoch  1, Batch    326, Loss  0.813621, Average Loss  0.809823, Time  0.251127
2021-09-22 20:43:50.523300 : Epoch  1, Batch    327, Loss  0.809769, Average Loss  0.809838, Time  0.265937
2021-09-22 20:43:52.414107 : Epoch  1, Batch    328, Loss  0.814513, Average Loss  0.809854, Time  0.253984
2021-09-22 20:43:54.303072 : Epoch  1, Batch    329, Loss  0.802393, Average Loss  0.809765, Time  0.252088
2021-09-22 20:43:56.202872 : Epoch  1, Batch    330, Loss  0.801355, Average Loss  0.809679, Time  0.250755
2021-09-22 20:43:58.165058 : Epoch  1, Batch    331, Loss  0.798281, Average Loss  0.809582, Time  0.326039
2021-09-22 20:44:00.035551 : Epoch  1, Batch    332, Loss  0.809022, Average Loss  0.809533, Time  0.249038
2021-09-22 20:44:00.382245 : CheckPoint: Validation Loss  0.00033807, Best Loss  0.00033807
2021-09-22 20:44:00.422755 : Best Model Updated
2021-09-22 20:44:01.920943 : Epoch  1, Batch    333, Loss  0.801482, Average Loss  0.809399, Time  0.250366
2021-09-22 20:44:03.100104 : Epoch  1, Batch    301, Loss  0.797457, Average Loss  0.815686, Time  0.254221
2021-09-22 20:44:03.828575 : Epoch  1, Batch    334, Loss  0.805738, Average Loss  0.809378, Time  0.249830
2021-09-22 20:44:05.010229 : Epoch  1, Batch    302, Loss  0.812115, Average Loss  0.815244, Time  0.260026
2021-09-22 20:44:05.727099 : Epoch  1, Batch    335, Loss  0.812381, Average Loss  0.809369, Time  0.249596
2021-09-22 20:44:06.915630 : Epoch  1, Batch    303, Loss  0.809382, Average Loss  0.814858, Time  0.254245
2021-09-22 20:44:07.609422 : Epoch  1, Batch    336, Loss  0.810633, Average Loss  0.809356, Time  0.249068
2021-09-22 20:44:08.828023 : Epoch  1, Batch    304, Loss  0.814732, Average Loss  0.814527, Time  0.253887
2021-09-22 20:44:09.500860 : Epoch  1, Batch    337, Loss  0.812586, Average Loss  0.809358, Time  0.249999
2021-09-22 20:44:10.744309 : Epoch  1, Batch    305, Loss  0.809111, Average Loss  0.814248, Time  0.254645
2021-09-22 20:44:11.404270 : Epoch  1, Batch    338, Loss  0.812554, Average Loss  0.809283, Time  0.250287
2021-09-22 20:44:12.642519 : Epoch  1, Batch    306, Loss  0.804085, Average Loss  0.814023, Time  0.260594
2021-09-22 20:44:13.299026 : Epoch  1, Batch    339, Loss  0.805598, Average Loss  0.809252, Time  0.249454
2021-09-22 20:44:14.540442 : Epoch  1, Batch    307, Loss  0.815998, Average Loss  0.813905, Time  0.254377
2021-09-22 20:44:15.181638 : Epoch  1, Batch    340, Loss  0.813255, Average Loss  0.809226, Time  0.249611
2021-09-22 20:44:16.441375 : Epoch  1, Batch    308, Loss  0.804961, Average Loss  0.813794, Time  0.254194
2021-09-22 20:44:17.115455 : Epoch  1, Batch    341, Loss  0.808632, Average Loss  0.809247, Time  0.249858
2021-09-22 20:44:18.346554 : Epoch  1, Batch    309, Loss  0.807401, Average Loss  0.813637, Time  0.254539
2021-09-22 20:44:19.013387 : Epoch  1, Batch    342, Loss  0.808350, Average Loss  0.809193, Time  0.250182
2021-09-22 20:44:20.231797 : Epoch  1, Batch    310, Loss  0.798375, Average Loss  0.813402, Time  0.254105
2021-09-22 20:44:20.892899 : Epoch  1, Batch    343, Loss  0.799692, Average Loss  0.809171, Time  0.250004
2021-09-22 20:44:22.136519 : Epoch  1, Batch    311, Loss  0.812438, Average Loss  0.813275, Time  0.254202
2021-09-22 20:44:22.775823 : Epoch  1, Batch    344, Loss  0.810015, Average Loss  0.809110, Time  0.252724
2021-09-22 20:44:24.044805 : Epoch  1, Batch    312, Loss  0.807501, Average Loss  0.813105, Time  0.254627
2021-09-22 20:44:24.653918 : Epoch  1, Batch    345, Loss  0.808915, Average Loss  0.809068, Time  0.249115
2021-09-22 20:44:25.938932 : Epoch  1, Batch    313, Loss  0.807665, Average Loss  0.812946, Time  0.253840
2021-09-22 20:44:26.535323 : Epoch  1, Batch    346, Loss  0.810833, Average Loss  0.809065, Time  0.250935
2021-09-22 20:44:27.822705 : Epoch  1, Batch    314, Loss  0.807550, Average Loss  0.812779, Time  0.254421
2021-09-22 20:44:28.400979 : Epoch  1, Batch    347, Loss  0.809196, Average Loss  0.809058, Time  0.249904
2021-09-22 20:44:29.722563 : Epoch  1, Batch    315, Loss  0.811548, Average Loss  0.812618, Time  0.254176
2021-09-22 20:44:30.271289 : Epoch  1, Batch    348, Loss  0.803603, Average Loss  0.809033, Time  0.252366
2021-09-22 20:44:31.630162 : Epoch  1, Batch    316, Loss  0.801462, Average Loss  0.812515, Time  0.254224
2021-09-22 20:44:32.163366 : Epoch  1, Batch    349, Loss  0.811620, Average Loss  0.809073, Time  0.250360
2021-09-22 20:44:33.543983 : Epoch  1, Batch    317, Loss  0.811972, Average Loss  0.812392, Time  0.253421
2021-09-22 20:44:34.045936 : Epoch  1, Batch    350, Loss  0.809255, Average Loss  0.809069, Time  0.250613
2021-09-22 20:44:35.461962 : Epoch  1, Batch    318, Loss  0.811814, Average Loss  0.812274, Time  0.254095
2021-09-22 20:44:35.936704 : Epoch  1, Batch    351, Loss  0.814824, Average Loss  0.809124, Time  0.252383
2021-09-22 20:44:37.387620 : Epoch  1, Batch    319, Loss  0.818230, Average Loss  0.812223, Time  0.254601
2021-09-22 20:44:37.822983 : Epoch  1, Batch    352, Loss  0.816331, Average Loss  0.809137, Time  0.250332
2021-09-22 20:44:39.307711 : Epoch  1, Batch    320, Loss  0.794560, Average Loss  0.812090, Time  0.253644
2021-09-22 20:44:39.693940 : Epoch  1, Batch    353, Loss  0.818117, Average Loss  0.809143, Time  0.250179
2021-09-22 20:44:41.234381 : Epoch  1, Batch    321, Loss  0.806102, Average Loss  0.811993, Time  0.255771
2021-09-22 20:44:41.589403 : Epoch  1, Batch    354, Loss  0.806561, Average Loss  0.809071, Time  0.249630
2021-09-22 20:44:41.753805 : Epoch  1, Batch    355, Loss  0.816653, Average Loss  0.809076, Time  0.118264
2021-09-22 20:44:43.143029 : Epoch  1, Batch    322, Loss  0.810197, Average Loss  0.811910, Time  0.254885
2021-09-22 20:44:43.639933 : Epoch  1, Batch    356, Loss  0.807158, Average Loss  0.809049, Time  0.250482
2021-09-22 20:44:45.044370 : Epoch  1, Batch    323, Loss  0.815104, Average Loss  0.811864, Time  0.253562
2021-09-22 20:44:45.521939 : Epoch  1, Batch    357, Loss  0.810042, Average Loss  0.809074, Time  0.252695
2021-09-22 20:44:46.950771 : Epoch  1, Batch    324, Loss  0.810655, Average Loss  0.811796, Time  0.253613
2021-09-22 20:44:47.394795 : Epoch  1, Batch    358, Loss  0.816054, Average Loss  0.809073, Time  0.251383
2021-09-22 20:44:48.858365 : Epoch  1, Batch    325, Loss  0.804636, Average Loss  0.811708, Time  0.254518
2021-09-22 20:44:49.268355 : Epoch  1, Batch    359, Loss  0.805812, Average Loss  0.809024, Time  0.251678
2021-09-22 20:44:50.772517 : Epoch  1, Batch    326, Loss  0.808075, Average Loss  0.811622, Time  0.255638
2021-09-22 20:44:51.142989 : Epoch  1, Batch    360, Loss  0.804522, Average Loss  0.808993, Time  0.249932
2021-09-22 20:44:52.669628 : Epoch  1, Batch    327, Loss  0.810106, Average Loss  0.811533, Time  0.256096
2021-09-22 20:44:53.081874 : Epoch  1, Batch    361, Loss  0.812058, Average Loss  0.808997, Time  0.252230
2021-09-22 20:44:54.575997 : Epoch  1, Batch    328, Loss  0.808178, Average Loss  0.811484, Time  0.269437
2021-09-22 20:44:54.971291 : Epoch  1, Batch    362, Loss  0.807523, Average Loss  0.808932, Time  0.249577
2021-09-22 20:44:56.529243 : Epoch  1, Batch    329, Loss  0.814011, Average Loss  0.811500, Time  0.263032
2021-09-22 20:44:56.869313 : Epoch  1, Batch    363, Loss  0.807660, Average Loss  0.808948, Time  0.251154
2021-09-22 20:44:58.419322 : Epoch  1, Batch    330, Loss  0.816375, Average Loss  0.811465, Time  0.257549
2021-09-22 20:44:58.751668 : Epoch  1, Batch    364, Loss  0.805549, Average Loss  0.808934, Time  0.250158
2021-09-22 20:45:00.312372 : Epoch  1, Batch    331, Loss  0.808792, Average Loss  0.811380, Time  0.255206
2021-09-22 20:45:00.628061 : Epoch  1, Batch    365, Loss  0.805559, Average Loss  0.808884, Time  0.250477
2021-09-22 20:45:01.832789 : CheckPoint: Validation Loss  0.00015400, Best Loss  0.00014923
2021-09-22 20:45:02.228040 : Epoch  1, Batch    332, Loss  0.809884, Average Loss  0.811390, Time  0.254946
2021-09-22 20:45:02.499546 : Epoch  1, Batch    366, Loss  0.803904, Average Loss  0.808820, Time  0.250540
2021-09-22 20:45:04.135821 : Epoch  1, Batch    333, Loss  0.799245, Average Loss  0.811294, Time  0.253664
2021-09-22 20:45:04.381379 : Epoch  1, Batch    367, Loss  0.813136, Average Loss  0.808848, Time  0.253156
2021-09-22 20:45:06.070672 : Epoch  1, Batch    334, Loss  0.810048, Average Loss  0.811263, Time  0.279677
2021-09-22 20:45:06.277902 : Epoch  1, Batch    368, Loss  0.816716, Average Loss  0.808888, Time  0.279386
2021-09-22 20:45:06.851884 : Epoch  2, Batch    373, Loss  0.881083, Average Loss  0.875786, Time  0.421389
2021-09-22 20:45:08.084309 : Epoch  1, Batch    335, Loss  0.804031, Average Loss  0.811228, Time  0.357122
2021-09-22 20:45:08.225648 : Epoch  1, Batch    369, Loss  0.809252, Average Loss  0.808894, Time  0.320660
2021-09-22 20:45:10.180141 : Epoch  1, Batch    336, Loss  0.809820, Average Loss  0.811180, Time  0.438438
2021-09-22 20:45:10.255181 : Epoch  1, Batch    370, Loss  0.809699, Average Loss  0.808888, Time  0.393029
2021-09-22 20:45:11.833903 : Epoch  2, Batch    374, Loss  0.893391, Average Loss  0.875886, Time  0.413767
2021-09-22 20:45:12.307297 : Epoch  1, Batch    337, Loss  0.818955, Average Loss  0.811169, Time  0.493434
2021-09-22 20:45:12.342152 : Epoch  1, Batch    371, Loss  0.802110, Average Loss  0.808857, Time  0.452390
2021-09-22 20:45:14.208451 : Epoch  1, Batch    338, Loss  0.810126, Average Loss  0.811154, Time  0.254731
2021-09-22 20:45:16.149174 : Epoch  1, Batch    339, Loss  0.808754, Average Loss  0.811075, Time  0.253562
2021-09-22 20:45:16.387433 : Epoch  1, Batch    372, Loss  0.802856, Average Loss  0.808791, Time  0.251672
2021-09-22 20:45:16.824864 : Epoch  2, Batch    375, Loss  0.873293, Average Loss  0.875866, Time  0.413141
2021-09-22 20:45:18.122042 : Epoch  1, Batch    340, Loss  0.808104, Average Loss  0.811027, Time  0.318517
2021-09-22 20:45:18.297009 : Epoch  1, Batch    373, Loss  0.798961, Average Loss  0.808701, Time  0.290482
2021-09-22 20:45:20.157447 : Epoch  1, Batch    341, Loss  0.807959, Average Loss  0.810939, Time  0.396454
2021-09-22 20:45:20.264645 : Epoch  1, Batch    374, Loss  0.799640, Average Loss  0.808615, Time  0.359533
2021-09-22 20:45:21.788149 : Epoch  2, Batch    376, Loss  0.874212, Average Loss  0.875859, Time  0.412899
2021-09-22 20:45:22.286894 : Epoch  1, Batch    342, Loss  0.818854, Average Loss  0.810885, Time  0.485034
2021-09-22 20:45:22.341145 : Epoch  1, Batch    375, Loss  0.803788, Average Loss  0.808583, Time  0.449696
2021-09-22 20:45:24.447188 : Epoch  1, Batch    343, Loss  0.805072, Average Loss  0.810768, Time  0.511731
2021-09-22 20:45:24.477298 : Epoch  1, Batch    376, Loss  0.809400, Average Loss  0.808588, Time  0.506871
2021-09-22 20:45:26.612955 : Epoch  1, Batch    344, Loss  0.805692, Average Loss  0.810657, Time  0.525652
2021-09-22 20:45:26.645627 : Epoch  1, Batch    377, Loss  0.805594, Average Loss  0.808575, Time  0.507069
2021-09-22 20:45:26.753752 : Epoch  2, Batch    377, Loss  0.895160, Average Loss  0.876025, Time  0.413905
2021-09-22 20:45:28.787632 : Epoch  1, Batch    378, Loss  0.804341, Average Loss  0.808574, Time  0.512696
2021-09-22 20:45:28.824526 : Epoch  1, Batch    345, Loss  0.804478, Average Loss  0.810580, Time  0.506965
2021-09-22 20:45:30.905421 : Epoch  1, Batch    379, Loss  0.808618, Average Loss  0.808611, Time  0.486231
2021-09-22 20:45:30.947362 : Epoch  1, Batch    346, Loss  0.809016, Average Loss  0.810547, Time  0.451000
2021-09-22 20:45:31.713082 : Epoch  2, Batch    378, Loss  0.872773, Average Loss  0.875990, Time  0.414375
2021-09-22 20:45:33.041062 : Epoch  1, Batch    380, Loss  0.810402, Average Loss  0.808628, Time  0.495089
2021-09-22 20:45:33.073760 : Epoch  1, Batch    347, Loss  0.810532, Average Loss  0.810470, Time  0.466959
2021-09-22 20:45:35.204910 : Epoch  1, Batch    381, Loss  0.802673, Average Loss  0.808624, Time  0.503501
2021-09-22 20:45:35.247533 : Epoch  1, Batch    348, Loss  0.812405, Average Loss  0.810415, Time  0.484050
2021-09-22 20:45:36.691114 : Epoch  2, Batch    379, Loss  0.880119, Average Loss  0.876044, Time  0.413833
2021-09-22 20:45:37.351574 : Epoch  1, Batch    382, Loss  0.810880, Average Loss  0.808666, Time  0.503358
2021-09-22 20:45:37.387862 : Epoch  1, Batch    349, Loss  0.803017, Average Loss  0.810337, Time  0.477263
2021-09-22 20:45:39.512590 : Epoch  1, Batch    383, Loss  0.814066, Average Loss  0.808694, Time  0.500092
2021-09-22 20:45:39.544078 : Epoch  1, Batch    350, Loss  0.803878, Average Loss  0.810290, Time  0.479521
2021-09-22 20:45:41.640132 : Epoch  1, Batch    384, Loss  0.806593, Average Loss  0.808661, Time  0.491866
2021-09-22 20:45:41.678025 : Epoch  1, Batch    351, Loss  0.803369, Average Loss  0.810189, Time  0.465778
2021-09-22 20:45:43.754752 : Epoch  1, Batch    385, Loss  0.800586, Average Loss  0.808601, Time  0.475648
2021-09-22 20:45:43.792142 : Epoch  1, Batch    352, Loss  0.810697, Average Loss  0.810172, Time  0.444390
2021-09-22 20:45:45.889020 : Epoch  1, Batch    386, Loss  0.815321, Average Loss  0.808617, Time  0.492999
2021-09-22 20:45:45.920744 : Epoch  1, Batch    353, Loss  0.822319, Average Loss  0.810196, Time  0.465332
2021-09-22 20:45:46.689018 : Epoch  2, Batch    381, Loss  0.874968, Average Loss  0.876092, Time  0.451172
2021-09-22 20:45:48.029746 : Epoch  1, Batch    387, Loss  0.802544, Average Loss  0.808578, Time  0.504556
2021-09-22 20:45:48.065913 : Epoch  1, Batch    354, Loss  0.809500, Average Loss  0.810134, Time  0.473228
2021-09-22 20:45:50.148480 : Epoch  1, Batch    388, Loss  0.807679, Average Loss  0.808616, Time  0.490135
2021-09-22 20:45:50.183058 : Epoch  1, Batch    355, Loss  0.807468, Average Loss  0.810069, Time  0.455731
2021-09-22 20:45:51.705994 : Epoch  2, Batch    382, Loss  0.860150, Average Loss  0.875958, Time  0.413548
2021-09-22 20:45:52.264059 : Epoch  1, Batch    389, Loss  0.803718, Average Loss  0.808627, Time  0.492350
2021-09-22 20:45:52.298097 : Epoch  1, Batch    356, Loss  0.801829, Average Loss  0.809989, Time  0.459762
2021-09-22 20:45:54.436454 : Epoch  1, Batch    390, Loss  0.804055, Average Loss  0.808594, Time  0.501888
2021-09-22 20:45:54.479909 : Epoch  1, Batch    357, Loss  0.807271, Average Loss  0.809945, Time  0.482092
2021-09-22 20:45:56.551909 : Epoch  1, Batch    391, Loss  0.799313, Average Loss  0.808517, Time  0.476321
2021-09-22 20:45:56.594512 : Epoch  1, Batch    358, Loss  0.810143, Average Loss  0.809933, Time  0.445257
2021-09-22 20:45:56.664065 : Epoch  2, Batch    383, Loss  0.872616, Average Loss  0.875951, Time  0.413324
2021-09-22 20:45:58.682335 : Epoch  1, Batch    392, Loss  0.799602, Average Loss  0.808444, Time  0.496649
2021-09-22 20:45:58.717870 : Epoch  1, Batch    359, Loss  0.809513, Average Loss  0.809897, Time  0.467355
2021-09-22 20:46:00.781074 : Epoch  1, Batch    393, Loss  0.808630, Average Loss  0.808442, Time  0.466379
2021-09-22 20:46:00.844613 : Epoch  1, Batch    360, Loss  0.809694, Average Loss  0.809846, Time  0.442837
2021-09-22 20:46:01.645294 : Epoch  2, Batch    384, Loss  0.866213, Average Loss  0.875946, Time  0.413305
2021-09-22 20:46:02.909209 : Epoch  1, Batch    394, Loss  0.803556, Average Loss  0.808383, Time  0.485964
2021-09-22 20:46:02.944978 : Epoch  1, Batch    361, Loss  0.815974, Average Loss  0.809879, Time  0.456400
2021-09-22 20:46:05.033592 : Epoch  1, Batch    395, Loss  0.803673, Average Loss  0.808339, Time  0.497985
2021-09-22 20:46:05.065526 : Epoch  1, Batch    362, Loss  0.803761, Average Loss  0.809839, Time  0.472215
2021-09-22 20:46:06.606752 : Epoch  2, Batch    385, Loss  0.884680, Average Loss  0.876006, Time  0.413468
2021-09-22 20:46:07.151221 : Epoch  1, Batch    396, Loss  0.813478, Average Loss  0.808338, Time  0.495113
2021-09-22 20:46:07.187753 : Epoch  1, Batch    363, Loss  0.812353, Average Loss  0.809842, Time  0.470392
2021-09-22 20:46:09.280708 : Epoch  1, Batch    397, Loss  0.806144, Average Loss  0.808359, Time  0.497957
2021-09-22 20:46:09.309989 : Epoch  1, Batch    364, Loss  0.807035, Average Loss  0.809770, Time  0.473258
2021-09-22 20:46:11.463949 : Epoch  1, Batch    365, Loss  0.800188, Average Loss  0.809675, Time  0.514660
2021-09-22 20:46:11.500685 : Epoch  1, Batch    398, Loss  0.799370, Average Loss  0.808320, Time  0.523329
2021-09-22 20:46:11.562939 : Epoch  2, Batch    386, Loss  0.864775, Average Loss  0.875949, Time  0.413650
2021-09-22 20:46:13.609324 : Epoch  1, Batch    366, Loss  0.799643, Average Loss  0.809594, Time  0.505311
2021-09-22 20:46:13.650812 : Epoch  1, Batch    399, Loss  0.825755, Average Loss  0.808340, Time  0.476589
2021-09-22 20:46:15.764829 : Epoch  1, Batch    367, Loss  0.804751, Average Loss  0.809619, Time  0.512983
2021-09-22 20:46:15.797088 : Epoch  1, Batch    400, Loss  0.806206, Average Loss  0.808315, Time  0.490982
2021-09-22 20:46:16.526743 : Epoch  2, Batch    387, Loss  0.896566, Average Loss  0.876081, Time  0.413065
2021-09-22 20:46:17.689541 : Epoch  1, Batch    368, Loss  0.808240, Average Loss  0.809575, Time  0.254546
2021-09-22 20:46:19.593868 : Epoch  1, Batch    369, Loss  0.815347, Average Loss  0.809642, Time  0.254678
2021-09-22 20:46:21.486082 : Epoch  2, Batch    388, Loss  0.873881, Average Loss  0.876008, Time  0.413307
2021-09-22 20:46:21.589041 : Epoch  1, Batch    370, Loss  0.805784, Average Loss  0.809572, Time  0.332360
2021-09-22 20:46:25.693367 : Epoch  1, Batch    371, Loss  0.813939, Average Loss  0.809613, Time  0.267012
2021-09-22 20:46:26.456991 : Epoch  2, Batch    389, Loss  0.863033, Average Loss  0.875927, Time  0.414228
2021-09-22 20:46:27.595232 : Epoch  1, Batch    372, Loss  0.818142, Average Loss  0.809614, Time  0.255734
2021-09-22 20:46:29.488220 : Epoch  1, Batch    373, Loss  0.802413, Average Loss  0.809540, Time  0.253568
2021-09-22 20:46:31.472784 : Epoch  2, Batch    390, Loss  0.879837, Average Loss  0.876009, Time  0.463533
2021-09-22 20:46:31.505437 : Epoch  1, Batch    374, Loss  0.809391, Average Loss  0.809572, Time  0.329290
2021-09-22 20:46:33.428557 : Epoch  1, Batch    375, Loss  0.803254, Average Loss  0.809520, Time  0.254380
2021-09-22 20:46:35.351332 : Epoch  1, Batch    376, Loss  0.812870, Average Loss  0.809528, Time  0.255130
2021-09-22 20:46:36.474724 : Epoch  2, Batch    391, Loss  0.869907, Average Loss  0.875995, Time  0.419664
2021-09-22 20:46:37.263189 : Epoch  1, Batch    377, Loss  0.806602, Average Loss  0.809504, Time  0.254596
2021-09-22 20:46:39.188439 : Epoch  1, Batch    378, Loss  0.804613, Average Loss  0.809448, Time  0.254408
2021-09-22 20:46:41.090417 : Epoch  1, Batch    379, Loss  0.807367, Average Loss  0.809384, Time  0.257574
2021-09-22 20:46:41.499055 : Epoch  2, Batch    392, Loss  0.879070, Average Loss  0.875991, Time  0.414420
2021-09-22 20:46:43.087847 : Epoch  1, Batch    380, Loss  0.814980, Average Loss  0.809383, Time  0.327147
2021-09-22 20:46:45.064087 : Epoch  1, Batch    381, Loss  0.799808, Average Loss  0.809302, Time  0.253580
2021-09-22 20:46:46.458734 : Epoch  2, Batch    393, Loss  0.879021, Average Loss  0.875960, Time  0.413438
2021-09-22 20:46:46.979543 : Epoch  1, Batch    382, Loss  0.809274, Average Loss  0.809279, Time  0.254337
2021-09-22 20:46:48.905551 : Epoch  1, Batch    383, Loss  0.811724, Average Loss  0.809267, Time  0.260445
2021-09-22 20:46:50.797068 : Epoch  1, Batch    384, Loss  0.810025, Average Loss  0.809236, Time  0.254571
2021-09-22 20:46:51.435077 : Epoch  2, Batch    394, Loss  0.871313, Average Loss  0.875943, Time  0.414172
2021-09-22 20:46:52.710268 : Epoch  1, Batch    385, Loss  0.809996, Average Loss  0.809190, Time  0.255113
2021-09-22 20:46:54.682983 : Epoch  1, Batch    386, Loss  0.804418, Average Loss  0.809117, Time  0.329899
2021-09-22 20:46:56.396913 : Epoch  2, Batch    395, Loss  0.875868, Average Loss  0.875933, Time  0.413294
2021-09-22 20:46:56.581334 : Epoch  1, Batch    387, Loss  0.803737, Average Loss  0.809074, Time  0.254630
2021-09-22 20:46:58.480923 : Epoch  1, Batch    388, Loss  0.803789, Average Loss  0.809061, Time  0.254560
2021-09-22 20:47:00.389170 : Epoch  1, Batch    389, Loss  0.804011, Average Loss  0.808951, Time  0.256742
2021-09-22 20:47:01.374715 : Epoch  2, Batch    396, Loss  0.890276, Average Loss  0.876010, Time  0.413469
2021-09-22 20:47:02.305362 : Epoch  1, Batch    390, Loss  0.803216, Average Loss  0.808889, Time  0.254167
2021-09-22 20:47:04.214782 : Epoch  1, Batch    391, Loss  0.802607, Average Loss  0.808840, Time  0.255251
2021-09-22 20:47:06.196837 : Epoch  1, Batch    392, Loss  0.812295, Average Loss  0.808843, Time  0.325974
2021-09-22 20:47:06.337951 : Epoch  2, Batch    397, Loss  0.876086, Average Loss  0.876006, Time  0.413364
2021-09-22 20:47:08.099139 : Epoch  1, Batch    393, Loss  0.803341, Average Loss  0.808823, Time  0.255032
2021-09-22 20:47:10.005325 : Epoch  1, Batch    394, Loss  0.806588, Average Loss  0.808723, Time  0.254444
2021-09-22 20:47:11.316778 : Epoch  2, Batch    398, Loss  0.885077, Average Loss  0.876117, Time  0.413322
2021-09-22 20:47:11.912159 : Epoch  1, Batch    395, Loss  0.810959, Average Loss  0.808736, Time  0.254555
2021-09-22 20:47:13.826605 : Epoch  1, Batch    396, Loss  0.800340, Average Loss  0.808729, Time  0.253594
2021-09-22 20:47:15.753096 : Epoch  1, Batch    397, Loss  0.813028, Average Loss  0.808740, Time  0.259090
2021-09-22 20:47:16.330753 : Epoch  2, Batch    399, Loss  0.882765, Average Loss  0.876142, Time  0.460984
2021-09-22 20:47:17.738494 : Epoch  1, Batch    398, Loss  0.810105, Average Loss  0.808753, Time  0.328930
2021-09-22 20:47:19.644184 : Epoch  1, Batch    399, Loss  0.815237, Average Loss  0.808795, Time  0.253937
2021-09-22 20:47:21.297069 : Epoch  2, Batch    400, Loss  0.879087, Average Loss  0.876200, Time  0.413248
2021-09-22 20:47:21.550034 : Epoch  1, Batch    400, Loss  0.793495, Average Loss  0.808713, Time  0.253828
2021-09-22 20:47:26.279935 : Epoch  2, Batch    401, Loss  0.873050, Average Loss  0.876188, Time  0.413980
2021-09-22 20:47:26.359825 : CheckPoint: Validation Loss  0.00033600, Best Loss  0.00033600
2021-09-22 20:47:26.390321 : Best Model Updated
2021-09-22 20:47:29.017179 : Epoch  1, Batch    401, Loss  0.809890, Average Loss  0.808299, Time  0.306124
2021-09-22 20:47:30.933715 : Epoch  1, Batch    402, Loss  0.806162, Average Loss  0.808337, Time  0.249771
2021-09-22 20:47:31.234930 : Epoch  2, Batch    402, Loss  0.881661, Average Loss  0.876288, Time  0.413732
2021-09-22 20:47:32.802231 : Epoch  1, Batch    403, Loss  0.799259, Average Loss  0.808259, Time  0.249379
2021-09-22 20:47:34.671459 : Epoch  1, Batch    404, Loss  0.804085, Average Loss  0.808266, Time  0.251531
2021-09-22 20:47:36.222007 : Epoch  2, Batch    403, Loss  0.858159, Average Loss  0.876083, Time  0.414382
2021-09-22 20:47:36.543392 : Epoch  1, Batch    405, Loss  0.809578, Average Loss  0.808228, Time  0.252051
2021-09-22 20:47:38.408178 : Epoch  1, Batch    406, Loss  0.805181, Average Loss  0.808171, Time  0.250064
2021-09-22 20:47:40.286049 : Epoch  1, Batch    407, Loss  0.801628, Average Loss  0.808148, Time  0.250877
2021-09-22 20:47:41.239017 : Epoch  2, Batch    404, Loss  0.878043, Average Loss  0.876094, Time  0.432710
2021-09-22 20:47:42.230378 : Epoch  1, Batch    408, Loss  0.805086, Average Loss  0.808098, Time  0.326606
2021-09-22 20:47:44.103834 : Epoch  1, Batch    409, Loss  0.806787, Average Loss  0.808087, Time  0.250578
2021-09-22 20:47:45.988478 : Epoch  1, Batch    410, Loss  0.807808, Average Loss  0.808109, Time  0.250153
2021-09-22 20:47:46.197048 : Epoch  2, Batch    405, Loss  0.866669, Average Loss  0.876066, Time  0.413653
2021-09-22 20:47:47.864805 : Epoch  1, Batch    411, Loss  0.795049, Average Loss  0.808032, Time  0.250446
2021-09-22 20:47:49.753674 : Epoch  1, Batch    412, Loss  0.810834, Average Loss  0.808073, Time  0.258369
2021-09-22 20:47:51.156409 : Epoch  2, Batch    406, Loss  0.883741, Average Loss  0.876147, Time  0.413280
2021-09-22 20:47:51.641865 : Epoch  1, Batch    413, Loss  0.812129, Average Loss  0.808060, Time  0.250183
2021-09-22 20:47:53.535351 : Epoch  1, Batch    414, Loss  0.813887, Average Loss  0.808083, Time  0.251853
2021-09-22 20:47:55.421767 : Epoch  1, Batch    415, Loss  0.816368, Average Loss  0.808134, Time  0.249798
2021-09-22 20:47:56.136958 : Epoch  2, Batch    407, Loss  0.875705, Average Loss  0.876195, Time  0.414526
2021-09-22 20:47:57.373239 : Epoch  1, Batch    416, Loss  0.809552, Average Loss  0.808115, Time  0.328340
2021-09-22 20:47:59.244813 : Epoch  1, Batch    417, Loss  0.803854, Average Loss  0.808068, Time  0.250809
2021-09-22 20:48:01.153243 : Epoch  1, Batch    418, Loss  0.799885, Average Loss  0.808025, Time  0.250958
2021-09-22 20:48:03.099925 : Epoch  1, Batch    419, Loss  0.811329, Average Loss  0.808041, Time  0.251747
2021-09-22 20:48:04.976447 : Epoch  1, Batch    420, Loss  0.796990, Average Loss  0.807943, Time  0.257157
2021-09-22 20:48:06.125005 : Epoch  2, Batch    409, Loss  0.875716, Average Loss  0.876161, Time  0.413408
2021-09-22 20:48:06.845033 : Epoch  1, Batch    421, Loss  0.806284, Average Loss  0.807950, Time  0.251220
2021-09-22 20:48:08.727373 : Epoch  1, Batch    422, Loss  0.818257, Average Loss  0.807976, Time  0.250152
2021-09-22 20:48:10.673597 : Epoch  1, Batch    423, Loss  0.804019, Average Loss  0.807957, Time  0.328699
2021-09-22 20:48:11.104726 : Epoch  2, Batch    410, Loss  0.891259, Average Loss  0.876280, Time  0.414244
2021-09-22 20:48:12.552949 : Epoch  1, Batch    424, Loss  0.807330, Average Loss  0.807956, Time  0.250212
2021-09-22 20:48:14.436334 : Epoch  1, Batch    425, Loss  0.805206, Average Loss  0.807912, Time  0.250073
2021-09-22 20:48:16.078818 : Epoch  2, Batch    411, Loss  0.867540, Average Loss  0.876194, Time  0.432941
2021-09-22 20:48:16.318316 : Epoch  1, Batch    426, Loss  0.806984, Average Loss  0.807896, Time  0.250578
2021-09-22 20:48:18.205513 : Epoch  1, Batch    427, Loss  0.797065, Average Loss  0.807819, Time  0.252510
2021-09-22 20:48:20.083636 : Epoch  1, Batch    428, Loss  0.803601, Average Loss  0.807765, Time  0.256205
2021-09-22 20:48:21.048814 : Epoch  2, Batch    412, Loss  0.868343, Average Loss  0.876163, Time  0.413353
2021-09-22 20:48:21.967825 : Epoch  1, Batch    429, Loss  0.805707, Average Loss  0.807693, Time  0.250503
2021-09-22 20:48:23.861405 : Epoch  1, Batch    430, Loss  0.810668, Average Loss  0.807735, Time  0.260715
2021-09-22 20:48:25.817321 : Epoch  1, Batch    431, Loss  0.805877, Average Loss  0.807712, Time  0.329535
2021-09-22 20:48:26.010986 : Epoch  2, Batch    413, Loss  0.896325, Average Loss  0.876233, Time  0.412875
2021-09-22 20:48:27.705002 : Epoch  1, Batch    432, Loss  0.809782, Average Loss  0.807698, Time  0.249978
2021-09-22 20:48:29.597017 : Epoch  1, Batch    433, Loss  0.799084, Average Loss  0.807633, Time  0.250253
2021-09-22 20:48:31.009834 : Epoch  2, Batch    414, Loss  0.879972, Average Loss  0.876248, Time  0.414039
2021-09-22 20:48:31.480373 : Epoch  1, Batch    434, Loss  0.797184, Average Loss  0.807589, Time  0.250583
2021-09-22 20:48:32.885897 : CheckPoint: Validation Loss  0.00033591, Best Loss  0.00033591
2021-09-22 20:48:32.920316 : Best Model Updated
2021-09-22 20:48:33.367579 : Epoch  1, Batch    435, Loss  0.808591, Average Loss  0.807577, Time  0.250554
2021-09-22 20:48:35.326036 : Epoch  1, Batch    436, Loss  0.797802, Average Loss  0.807488, Time  0.256785
2021-09-22 20:48:35.649019 : Epoch  1, Batch    401, Loss  0.807871, Average Loss  0.808726, Time  0.253866
2021-09-22 20:48:35.966768 : Epoch  2, Batch    415, Loss  0.880054, Average Loss  0.876285, Time  0.413422
2021-09-22 20:48:37.210136 : Epoch  1, Batch    437, Loss  0.804691, Average Loss  0.807490, Time  0.251711
2021-09-22 20:48:37.554341 : Epoch  1, Batch    402, Loss  0.811583, Average Loss  0.808729, Time  0.255073
2021-09-22 20:48:39.091939 : Epoch  1, Batch    438, Loss  0.805837, Average Loss  0.807504, Time  0.250185
2021-09-22 20:48:39.450769 : Epoch  1, Batch    403, Loss  0.805867, Average Loss  0.808716, Time  0.255421
2021-09-22 20:48:40.964874 : Epoch  2, Batch    416, Loss  0.869377, Average Loss  0.876258, Time  0.414491
2021-09-22 20:48:40.970328 : Epoch  1, Batch    439, Loss  0.801495, Average Loss  0.807446, Time  0.256637
2021-09-22 20:48:41.346438 : Epoch  1, Batch    404, Loss  0.817811, Average Loss  0.808780, Time  0.253825
2021-09-22 20:48:42.855217 : Epoch  1, Batch    440, Loss  0.807744, Average Loss  0.807449, Time  0.250234
2021-09-22 20:48:43.261786 : Epoch  1, Batch    405, Loss  0.805402, Average Loss  0.808744, Time  0.254988
2021-09-22 20:48:44.747829 : Epoch  1, Batch    441, Loss  0.805422, Average Loss  0.807434, Time  0.250820
2021-09-22 20:48:45.185540 : Epoch  1, Batch    406, Loss  0.798357, Average Loss  0.808730, Time  0.254574
2021-09-22 20:48:45.946919 : Epoch  2, Batch    417, Loss  0.888489, Average Loss  0.876237, Time  0.438263
2021-09-22 20:48:46.635049 : Epoch  1, Batch    442, Loss  0.810898, Average Loss  0.807441, Time  0.259659
2021-09-22 20:48:47.096103 : Epoch  1, Batch    407, Loss  0.810843, Average Loss  0.808727, Time  0.259898
2021-09-22 20:48:48.525362 : Epoch  1, Batch    443, Loss  0.799307, Average Loss  0.807417, Time  0.250270
2021-09-22 20:48:48.995121 : Epoch  1, Batch    408, Loss  0.799494, Average Loss  0.808642, Time  0.257451
2021-09-22 20:48:50.416179 : Epoch  1, Batch    444, Loss  0.802845, Average Loss  0.807389, Time  0.250515
2021-09-22 20:48:50.892438 : Epoch  1, Batch    409, Loss  0.796738, Average Loss  0.808592, Time  0.254321
2021-09-22 20:48:50.910129 : Epoch  2, Batch    418, Loss  0.882511, Average Loss  0.876268, Time  0.414211
2021-09-22 20:48:52.299224 : Epoch  1, Batch    445, Loss  0.808204, Average Loss  0.807409, Time  0.252582
2021-09-22 20:48:52.800933 : Epoch  1, Batch    410, Loss  0.808491, Average Loss  0.808579, Time  0.264395
2021-09-22 20:48:54.189298 : Epoch  1, Batch    446, Loss  0.809800, Average Loss  0.807408, Time  0.250290
2021-09-22 20:48:54.695165 : Epoch  1, Batch    411, Loss  0.812286, Average Loss  0.808590, Time  0.255386
2021-09-22 20:48:55.869375 : Epoch  2, Batch    419, Loss  0.870738, Average Loss  0.876243, Time  0.413845
2021-09-22 20:48:56.057990 : Epoch  1, Batch    447, Loss  0.804859, Average Loss  0.807399, Time  0.250295
2021-09-22 20:48:56.617861 : Epoch  1, Batch    412, Loss  0.800673, Average Loss  0.808554, Time  0.262212
2021-09-22 20:48:57.929202 : Epoch  1, Batch    448, Loss  0.815271, Average Loss  0.807447, Time  0.252738
2021-09-22 20:48:58.517940 : Epoch  1, Batch    413, Loss  0.809373, Average Loss  0.808533, Time  0.253853
2021-09-22 20:48:59.822370 : Epoch  1, Batch    449, Loss  0.811277, Average Loss  0.807464, Time  0.249895
2021-09-22 20:49:00.425290 : Epoch  1, Batch    414, Loss  0.810820, Average Loss  0.808540, Time  0.253701
2021-09-22 20:49:00.830019 : Epoch  2, Batch    420, Loss  0.872680, Average Loss  0.876308, Time  0.413615
2021-09-22 20:49:01.699812 : Epoch  1, Batch    450, Loss  0.798171, Average Loss  0.807389, Time  0.249509
2021-09-22 20:49:02.319236 : Epoch  1, Batch    415, Loss  0.798494, Average Loss  0.808509, Time  0.252434
2021-09-22 20:49:03.582338 : Epoch  1, Batch    451, Loss  0.804740, Average Loss  0.807368, Time  0.250256
2021-09-22 20:49:04.232502 : Epoch  1, Batch    416, Loss  0.808173, Average Loss  0.808511, Time  0.257068
2021-09-22 20:49:05.450747 : Epoch  1, Batch    452, Loss  0.800774, Average Loss  0.807357, Time  0.250662
2021-09-22 20:49:05.785736 : Epoch  2, Batch    421, Loss  0.855348, Average Loss  0.876284, Time  0.413491
2021-09-22 20:49:06.124114 : Epoch  1, Batch    417, Loss  0.809684, Average Loss  0.808475, Time  0.254345
2021-09-22 20:49:07.334376 : Epoch  1, Batch    453, Loss  0.803579, Average Loss  0.807323, Time  0.250475
2021-09-22 20:49:08.069454 : Epoch  1, Batch    418, Loss  0.800129, Average Loss  0.808467, Time  0.255442
2021-09-22 20:49:09.209267 : Epoch  1, Batch    454, Loss  0.811897, Average Loss  0.807381, Time  0.250228
2021-09-22 20:49:09.997951 : Epoch  1, Batch    419, Loss  0.811239, Average Loss  0.808470, Time  0.253976
2021-09-22 20:49:10.758026 : Epoch  2, Batch    422, Loss  0.880707, Average Loss  0.876344, Time  0.413105
2021-09-22 20:49:11.117138 : Epoch  1, Batch    455, Loss  0.802688, Average Loss  0.807318, Time  0.251703
2021-09-22 20:49:11.937794 : Epoch  1, Batch    420, Loss  0.811382, Average Loss  0.808484, Time  0.261828
2021-09-22 20:49:12.991393 : Epoch  1, Batch    456, Loss  0.811534, Average Loss  0.807311, Time  0.250128
2021-09-22 20:49:13.843946 : Epoch  1, Batch    421, Loss  0.810297, Average Loss  0.808439, Time  0.253482
2021-09-22 20:49:14.857607 : Epoch  1, Batch    457, Loss  0.807272, Average Loss  0.807344, Time  0.249926
2021-09-22 20:49:15.744968 : Epoch  2, Batch    423, Loss  0.885720, Average Loss  0.876395, Time  0.413553
2021-09-22 20:49:15.753569 : Epoch  1, Batch    422, Loss  0.805497, Average Loss  0.808398, Time  0.253906
2021-09-22 20:49:16.739235 : Epoch  1, Batch    458, Loss  0.800573, Average Loss  0.807314, Time  0.249983
2021-09-22 20:49:17.678034 : Epoch  1, Batch    423, Loss  0.803661, Average Loss  0.808343, Time  0.255065
2021-09-22 20:49:18.630746 : Epoch  1, Batch    459, Loss  0.806565, Average Loss  0.807295, Time  0.250390
2021-09-22 20:49:19.577752 : Epoch  1, Batch    424, Loss  0.804143, Average Loss  0.808340, Time  0.256481
2021-09-22 20:49:20.520362 : Epoch  1, Batch    460, Loss  0.799758, Average Loss  0.807259, Time  0.250875
2021-09-22 20:49:20.713937 : Epoch  2, Batch    424, Loss  0.883347, Average Loss  0.876443, Time  0.414465
2021-09-22 20:49:21.486745 : Epoch  1, Batch    425, Loss  0.803246, Average Loss  0.808308, Time  0.268123
2021-09-22 20:49:22.398822 : Epoch  1, Batch    461, Loss  0.803056, Average Loss  0.807248, Time  0.249795
2021-09-22 20:49:23.387787 : Epoch  1, Batch    426, Loss  0.794711, Average Loss  0.808238, Time  0.256431
2021-09-22 20:49:24.277608 : Epoch  1, Batch    462, Loss  0.801193, Average Loss  0.807228, Time  0.257940
2021-09-22 20:49:25.279426 : Epoch  1, Batch    427, Loss  0.813031, Average Loss  0.808279, Time  0.254039
2021-09-22 20:49:25.700738 : Epoch  2, Batch    425, Loss  0.872294, Average Loss  0.876523, Time  0.423605
2021-09-22 20:49:26.159861 : Epoch  1, Batch    463, Loss  0.802515, Average Loss  0.807155, Time  0.250657
2021-09-22 20:49:27.173168 : Epoch  1, Batch    428, Loss  0.801819, Average Loss  0.808252, Time  0.254482
2021-09-22 20:49:28.031399 : Epoch  1, Batch    464, Loss  0.807489, Average Loss  0.807200, Time  0.256243
2021-09-22 20:49:29.090642 : Epoch  1, Batch    429, Loss  0.814690, Average Loss  0.808310, Time  0.254765
2021-09-22 20:49:29.932218 : Epoch  1, Batch    465, Loss  0.806300, Average Loss  0.807172, Time  0.250154
2021-09-22 20:49:30.661201 : Epoch  2, Batch    426, Loss  0.886787, Average Loss  0.876516, Time  0.413046
2021-09-22 20:49:31.008763 : Epoch  1, Batch    430, Loss  0.810680, Average Loss  0.808306, Time  0.258077
2021-09-22 20:49:31.798016 : Epoch  1, Batch    466, Loss  0.810624, Average Loss  0.807186, Time  0.249571
2021-09-22 20:49:32.910073 : Epoch  1, Batch    431, Loss  0.815704, Average Loss  0.808316, Time  0.256659
2021-09-22 20:49:33.674115 : Epoch  1, Batch    467, Loss  0.804107, Average Loss  0.807207, Time  0.250703
2021-09-22 20:49:34.808277 : Epoch  1, Batch    432, Loss  0.803360, Average Loss  0.808325, Time  0.254094
2021-09-22 20:49:35.534806 : Epoch  1, Batch    468, Loss  0.812799, Average Loss  0.807205, Time  0.251466
2021-09-22 20:49:35.664853 : Epoch  2, Batch    427, Loss  0.872733, Average Loss  0.876495, Time  0.450385
2021-09-22 20:49:36.707776 : Epoch  1, Batch    433, Loss  0.814283, Average Loss  0.808355, Time  0.253347
2021-09-22 20:49:37.407210 : Epoch  1, Batch    469, Loss  0.806492, Average Loss  0.807185, Time  0.250149
2021-09-22 20:49:38.614345 : Epoch  1, Batch    434, Loss  0.812925, Average Loss  0.808337, Time  0.254118
2021-09-22 20:49:39.294643 : Epoch  1, Batch    470, Loss  0.807821, Average Loss  0.807120, Time  0.250672
2021-09-22 20:49:40.508968 : Epoch  1, Batch    435, Loss  0.799162, Average Loss  0.808276, Time  0.254102
2021-09-22 20:49:40.630977 : Epoch  2, Batch    428, Loss  0.861392, Average Loss  0.876385, Time  0.413013
2021-09-22 20:49:42.412138 : Epoch  1, Batch    436, Loss  0.797750, Average Loss  0.808231, Time  0.253152
2021-09-22 20:49:43.336756 : Epoch  1, Batch    471, Loss  0.804876, Average Loss  0.807112, Time  0.251487
2021-09-22 20:49:44.320178 : Epoch  1, Batch    437, Loss  0.807315, Average Loss  0.808182, Time  0.252735
2021-09-22 20:49:45.205162 : Epoch  1, Batch    472, Loss  0.805641, Average Loss  0.807113, Time  0.249927
2021-09-22 20:49:45.586018 : Epoch  2, Batch    429, Loss  0.885567, Average Loss  0.876438, Time  0.414454
2021-09-22 20:49:46.233129 : Epoch  1, Batch    438, Loss  0.803710, Average Loss  0.808125, Time  0.253367
2021-09-22 20:49:47.081660 : Epoch  1, Batch    473, Loss  0.797952, Average Loss  0.807076, Time  0.250509
2021-09-22 20:49:48.140417 : Epoch  1, Batch    439, Loss  0.819599, Average Loss  0.808172, Time  0.253532
2021-09-22 20:49:48.950873 : Epoch  1, Batch    474, Loss  0.793251, Average Loss  0.806997, Time  0.250603
2021-09-22 20:49:50.044067 : Epoch  1, Batch    440, Loss  0.813480, Average Loss  0.808203, Time  0.253934
2021-09-22 20:49:50.537915 : Epoch  2, Batch    430, Loss  0.876134, Average Loss  0.876473, Time  0.413737
2021-09-22 20:49:50.826393 : Epoch  1, Batch    475, Loss  0.798124, Average Loss  0.806941, Time  0.250278
2021-09-22 20:49:51.955135 : Epoch  1, Batch    441, Loss  0.812380, Average Loss  0.808263, Time  0.253893
2021-09-22 20:49:52.687312 : Epoch  1, Batch    476, Loss  0.805235, Average Loss  0.806956, Time  0.250279
2021-09-22 20:49:53.852661 : Epoch  1, Batch    442, Loss  0.811297, Average Loss  0.808277, Time  0.252991
2021-09-22 20:49:54.564617 : Epoch  1, Batch    477, Loss  0.804239, Average Loss  0.806961, Time  0.250997
2021-09-22 20:49:55.503106 : Epoch  2, Batch    431, Loss  0.874785, Average Loss  0.876412, Time  0.413757
2021-09-22 20:49:55.761121 : Epoch  1, Batch    443, Loss  0.794795, Average Loss  0.808194, Time  0.253493
2021-09-22 20:49:56.431007 : Epoch  1, Batch    478, Loss  0.799777, Average Loss  0.806902, Time  0.250725
2021-09-22 20:49:57.650955 : Epoch  1, Batch    444, Loss  0.806103, Average Loss  0.808189, Time  0.254236
2021-09-22 20:49:58.301012 : Epoch  1, Batch    479, Loss  0.798249, Average Loss  0.806828, Time  0.250381
2021-09-22 20:49:59.551238 : Epoch  1, Batch    445, Loss  0.799975, Average Loss  0.808135, Time  0.253796
2021-09-22 20:50:00.167507 : Epoch  1, Batch    480, Loss  0.799810, Average Loss  0.806810, Time  0.249527
2021-09-22 20:50:00.470005 : Epoch  2, Batch    432, Loss  0.874649, Average Loss  0.876432, Time  0.415155
2021-09-22 20:50:01.451211 : Epoch  1, Batch    446, Loss  0.809815, Average Loss  0.808113, Time  0.257932
2021-09-22 20:50:02.038330 : Epoch  1, Batch    481, Loss  0.797207, Average Loss  0.806739, Time  0.250290
2021-09-22 20:50:03.366069 : Epoch  1, Batch    447, Loss  0.805205, Average Loss  0.808090, Time  0.253915
2021-09-22 20:50:03.909305 : Epoch  1, Batch    482, Loss  0.803636, Average Loss  0.806697, Time  0.249701
2021-09-22 20:50:05.257930 : Epoch  1, Batch    448, Loss  0.811563, Average Loss  0.808127, Time  0.252894
2021-09-22 20:50:05.441169 : Epoch  2, Batch    433, Loss  0.863388, Average Loss  0.876370, Time  0.414029
2021-09-22 20:50:05.777854 : Epoch  1, Batch    483, Loss  0.796726, Average Loss  0.806715, Time  0.250095
2021-09-22 20:50:07.164926 : Epoch  1, Batch    449, Loss  0.802158, Average Loss  0.808085, Time  0.254948
2021-09-22 20:50:07.633486 : Epoch  1, Batch    484, Loss  0.806452, Average Loss  0.806707, Time  0.250277
2021-09-22 20:50:09.074094 : Epoch  1, Batch    450, Loss  0.794142, Average Loss  0.807997, Time  0.256674
2021-09-22 20:50:09.524051 : Epoch  1, Batch    485, Loss  0.805134, Average Loss  0.806661, Time  0.250410
2021-09-22 20:50:10.422848 : Epoch  2, Batch    434, Loss  0.862155, Average Loss  0.876290, Time  0.413624
2021-09-22 20:50:11.012510 : Epoch  1, Batch    451, Loss  0.802546, Average Loss  0.807957, Time  0.253303
2021-09-22 20:50:11.397760 : Epoch  1, Batch    486, Loss  0.792069, Average Loss  0.806610, Time  0.252111
2021-09-22 20:50:12.919051 : Epoch  1, Batch    452, Loss  0.810458, Average Loss  0.807956, Time  0.255283
2021-09-22 20:50:13.272370 : Epoch  1, Batch    487, Loss  0.803856, Average Loss  0.806557, Time  0.249163
2021-09-22 20:50:14.836038 : Epoch  1, Batch    453, Loss  0.803967, Average Loss  0.807954, Time  0.257325
2021-09-22 20:50:15.190632 : Epoch  1, Batch    488, Loss  0.806040, Average Loss  0.806531, Time  0.253344
2021-09-22 20:50:15.398769 : Epoch  2, Batch    435, Loss  0.883944, Average Loss  0.876300, Time  0.413385
2021-09-22 20:50:16.772148 : Epoch  1, Batch    454, Loss  0.807972, Average Loss  0.807900, Time  0.261320
2021-09-22 20:50:17.083133 : Epoch  1, Batch    489, Loss  0.813855, Average Loss  0.806579, Time  0.252345
2021-09-22 20:50:18.698830 : Epoch  1, Batch    455, Loss  0.804767, Average Loss  0.807899, Time  0.254668
2021-09-22 20:50:18.945811 : Epoch  1, Batch    490, Loss  0.803449, Average Loss  0.806521, Time  0.250063
2021-09-22 20:50:20.415151 : Epoch  2, Batch    436, Loss  0.856720, Average Loss  0.876110, Time  0.463083
2021-09-22 20:50:20.654010 : Epoch  1, Batch    456, Loss  0.812501, Average Loss  0.807917, Time  0.295344
2021-09-22 20:50:20.851522 : Epoch  1, Batch    491, Loss  0.798003, Average Loss  0.806495, Time  0.286294
2021-09-22 20:50:22.708479 : Epoch  1, Batch    457, Loss  0.809551, Average Loss  0.807952, Time  0.389926
2021-09-22 20:50:22.822929 : Epoch  1, Batch    492, Loss  0.804313, Average Loss  0.806427, Time  0.352212
2021-09-22 20:50:24.889453 : Epoch  1, Batch    458, Loss  0.798449, Average Loss  0.807911, Time  0.501444
2021-09-22 20:50:24.923254 : Epoch  1, Batch    493, Loss  0.804398, Average Loss  0.806434, Time  0.467145
2021-09-22 20:50:25.386493 : Epoch  2, Batch    437, Loss  0.867740, Average Loss  0.876040, Time  0.414172
2021-09-22 20:50:27.063421 : Epoch  1, Batch    459, Loss  0.801728, Average Loss  0.807844, Time  0.521819
2021-09-22 20:50:27.109521 : Epoch  1, Batch    494, Loss  0.793062, Average Loss  0.806366, Time  0.531989
2021-09-22 20:50:29.243190 : Epoch  1, Batch    460, Loss  0.803791, Average Loss  0.807800, Time  0.520573
2021-09-22 20:50:29.281148 : Epoch  1, Batch    495, Loss  0.794532, Average Loss  0.806335, Time  0.519537
2021-09-22 20:50:30.338450 : Epoch  2, Batch    438, Loss  0.870908, Average Loss  0.876062, Time  0.413033
2021-09-22 20:50:31.405905 : Epoch  1, Batch    461, Loss  0.808240, Average Loss  0.807778, Time  0.512840
2021-09-22 20:50:31.447535 : Epoch  1, Batch    496, Loss  0.804774, Average Loss  0.806317, Time  0.495180
2021-09-22 20:50:33.596780 : Epoch  1, Batch    462, Loss  0.810170, Average Loss  0.807791, Time  0.520262
2021-09-22 20:50:33.628688 : Epoch  1, Batch    497, Loss  0.799910, Average Loss  0.806300, Time  0.514353
2021-09-22 20:50:35.310606 : Epoch  2, Batch    439, Loss  0.869817, Average Loss  0.876049, Time  0.423142
2021-09-22 20:50:35.788506 : Epoch  1, Batch    463, Loss  0.814359, Average Loss  0.807874, Time  0.515611
2021-09-22 20:50:35.816788 : Epoch  1, Batch    498, Loss  0.800104, Average Loss  0.806186, Time  0.528257
2021-09-22 20:50:37.955997 : Epoch  1, Batch    464, Loss  0.799210, Average Loss  0.807781, Time  0.518500
2021-09-22 20:50:37.992153 : Epoch  1, Batch    499, Loss  0.801061, Average Loss  0.806154, Time  0.506191
2021-09-22 20:50:40.124076 : Epoch  1, Batch    465, Loss  0.804145, Average Loss  0.807712, Time  0.518574
2021-09-22 20:50:40.157875 : Epoch  1, Batch    500, Loss  0.801908, Average Loss  0.806165, Time  0.503731
2021-09-22 20:50:40.309279 : Epoch  2, Batch    440, Loss  0.869193, Average Loss  0.876003, Time  0.413456
2021-09-22 20:50:42.054375 : Epoch  1, Batch    466, Loss  0.805692, Average Loss  0.807661, Time  0.255107
2021-09-22 20:50:43.966572 : Epoch  1, Batch    467, Loss  0.804189, Average Loss  0.807641, Time  0.253873
2021-09-22 20:50:45.303145 : Epoch  2, Batch    441, Loss  0.870391, Average Loss  0.875944, Time  0.413445
2021-09-22 20:50:45.950228 : Epoch  1, Batch    468, Loss  0.801865, Average Loss  0.807601, Time  0.326225
2021-09-22 20:50:47.870167 : Epoch  1, Batch    469, Loss  0.804361, Average Loss  0.807583, Time  0.253722
2021-09-22 20:50:49.787169 : Epoch  1, Batch    470, Loss  0.810221, Average Loss  0.807615, Time  0.252962
2021-09-22 20:50:50.277547 : Epoch  2, Batch    442, Loss  0.882206, Average Loss  0.875928, Time  0.414452
2021-09-22 20:50:53.964317 : Epoch  1, Batch    471, Loss  0.810923, Average Loss  0.807637, Time  0.254116
2021-09-22 20:50:55.238125 : Epoch  2, Batch    443, Loss  0.862194, Average Loss  0.875903, Time  0.413669
2021-09-22 20:50:55.913023 : Epoch  1, Batch    472, Loss  0.811780, Average Loss  0.807721, Time  0.272068
2021-09-22 20:50:57.825478 : Epoch  1, Batch    473, Loss  0.799927, Average Loss  0.807732, Time  0.255058
2021-09-22 20:50:59.735494 : Epoch  1, Batch    474, Loss  0.811998, Average Loss  0.807734, Time  0.256316
2021-09-22 20:51:00.192944 : Epoch  2, Batch    444, Loss  0.865158, Average Loss  0.875822, Time  0.413887
2021-09-22 20:51:01.662236 : Epoch  1, Batch    475, Loss  0.806671, Average Loss  0.807716, Time  0.254666
2021-09-22 20:51:03.566219 : Epoch  1, Batch    476, Loss  0.811458, Average Loss  0.807784, Time  0.256173
2021-09-22 20:51:05.194082 : Epoch  2, Batch    445, Loss  0.867491, Average Loss  0.875850, Time  0.447673
2021-09-22 20:51:05.470756 : Epoch  1, Batch    477, Loss  0.802499, Average Loss  0.807704, Time  0.253414
2021-09-22 20:51:07.420863 : Epoch  1, Batch    478, Loss  0.809139, Average Loss  0.807723, Time  0.301585
2021-09-22 20:51:09.324554 : Epoch  1, Batch    479, Loss  0.801004, Average Loss  0.807689, Time  0.254004
2021-09-22 20:51:10.160848 : Epoch  2, Batch    446, Loss  0.851091, Average Loss  0.875752, Time  0.418625
2021-09-22 20:51:11.215680 : Epoch  1, Batch    480, Loss  0.803555, Average Loss  0.807680, Time  0.253591
2021-09-22 20:51:13.118894 : Epoch  1, Batch    481, Loss  0.808013, Average Loss  0.807684, Time  0.254721
2021-09-22 20:51:15.019327 : Epoch  1, Batch    482, Loss  0.800345, Average Loss  0.807575, Time  0.253745
2021-09-22 20:51:15.135734 : Epoch  2, Batch    447, Loss  0.873488, Average Loss  0.875749, Time  0.413503
2021-09-22 20:51:16.940002 : Epoch  1, Batch    483, Loss  0.810679, Average Loss  0.807579, Time  0.255335
2021-09-22 20:51:18.924539 : Epoch  1, Batch    484, Loss  0.813024, Average Loss  0.807578, Time  0.327404
2021-09-22 20:51:20.085998 : Epoch  2, Batch    448, Loss  0.884508, Average Loss  0.875769, Time  0.412985
2021-09-22 20:51:20.822274 : Epoch  1, Batch    485, Loss  0.804254, Average Loss  0.807576, Time  0.254854
2021-09-22 20:51:22.732938 : Epoch  1, Batch    486, Loss  0.798578, Average Loss  0.807462, Time  0.253430
2021-09-22 20:51:24.643754 : Epoch  1, Batch    487, Loss  0.805390, Average Loss  0.807502, Time  0.253563
2021-09-22 20:51:25.082728 : Epoch  2, Batch    449, Loss  0.861230, Average Loss  0.875711, Time  0.413059
2021-09-22 20:51:26.547535 : Epoch  1, Batch    488, Loss  0.812716, Average Loss  0.807521, Time  0.253197
2021-09-22 20:51:28.452366 : Epoch  1, Batch    489, Loss  0.803227, Average Loss  0.807456, Time  0.256484
2021-09-22 20:51:30.039253 : Epoch  2, Batch    450, Loss  0.880231, Average Loss  0.875768, Time  0.412976
2021-09-22 20:51:30.431632 : Epoch  1, Batch    490, Loss  0.804569, Average Loss  0.807420, Time  0.327439
2021-09-22 20:51:32.343987 : Epoch  1, Batch    491, Loss  0.798910, Average Loss  0.807358, Time  0.253629
2021-09-22 20:51:34.248216 : Epoch  1, Batch    492, Loss  0.809905, Average Loss  0.807361, Time  0.253173
2021-09-22 20:51:35.008585 : Epoch  2, Batch    451, Loss  0.881831, Average Loss  0.875810, Time  0.413262
2021-09-22 20:51:36.154902 : Epoch  1, Batch    493, Loss  0.818714, Average Loss  0.807411, Time  0.254699
2021-09-22 20:51:38.056737 : Epoch  1, Batch    494, Loss  0.810361, Average Loss  0.807422, Time  0.253304
2021-09-22 20:51:39.983481 : Epoch  1, Batch    495, Loss  0.800850, Average Loss  0.807359, Time  0.253226
2021-09-22 20:51:39.991770 : Epoch  2, Batch    452, Loss  0.892896, Average Loss  0.875939, Time  0.413541
2021-09-22 20:51:41.977317 : Epoch  1, Batch    496, Loss  0.798609, Average Loss  0.807328, Time  0.330544
2021-09-22 20:51:43.912493 : Epoch  1, Batch    497, Loss  0.814673, Average Loss  0.807357, Time  0.254891
2021-09-22 20:51:45.011129 : Epoch  2, Batch    453, Loss  0.885820, Average Loss  0.876090, Time  0.413587
2021-09-22 20:51:45.832421 : Epoch  1, Batch    498, Loss  0.810368, Average Loss  0.807378, Time  0.255134
2021-09-22 20:51:47.751830 : Epoch  1, Batch    499, Loss  0.797043, Average Loss  0.807287, Time  0.253023
2021-09-22 20:51:49.676249 : Epoch  1, Batch    500, Loss  0.813074, Average Loss  0.807343, Time  0.254792
2021-09-22 20:51:50.037221 : Epoch  2, Batch    454, Loss  0.864905, Average Loss  0.876046, Time  0.453860
2021-09-22 20:51:50.564533 : CheckPoint: Validation Loss  0.00032583, Best Loss  0.00032583
2021-09-22 20:51:50.604328 : Best Model Updated
2021-09-22 20:51:53.095076 : Epoch  1, Batch    501, Loss  0.803150, Average Loss  0.806162, Time  0.254632
2021-09-22 20:51:54.975329 : Epoch  1, Batch    502, Loss  0.800502, Average Loss  0.806149, Time  0.250019
2021-09-22 20:51:55.012283 : Epoch  2, Batch    455, Loss  0.883407, Average Loss  0.876114, Time  0.413146
2021-09-22 20:51:56.860079 : Epoch  1, Batch    503, Loss  0.797357, Average Loss  0.806099, Time  0.252137
2021-09-22 20:51:58.792416 : Epoch  1, Batch    504, Loss  0.796731, Average Loss  0.806042, Time  0.328788
2021-09-22 20:52:00.099512 : Epoch  2, Batch    456, Loss  0.874949, Average Loss  0.876089, Time  0.418622
2021-09-22 20:52:00.696815 : Epoch  1, Batch    505, Loss  0.806735, Average Loss  0.806063, Time  0.250181
2021-09-22 20:52:02.576126 : Epoch  1, Batch    506, Loss  0.797108, Average Loss  0.806022, Time  0.250037
2021-09-22 20:52:04.443875 : Epoch  1, Batch    507, Loss  0.797593, Average Loss  0.805990, Time  0.249740
2021-09-22 20:52:05.114846 : Epoch  2, Batch    457, Loss  0.867319, Average Loss  0.876039, Time  0.413409
2021-09-22 20:52:06.316050 : Epoch  1, Batch    508, Loss  0.785303, Average Loss  0.805873, Time  0.249856
2021-09-22 20:52:08.184843 : Epoch  1, Batch    509, Loss  0.800647, Average Loss  0.805802, Time  0.249397
2021-09-22 20:52:10.061868 : Epoch  1, Batch    510, Loss  0.804053, Average Loss  0.805753, Time  0.251038
2021-09-22 20:52:10.077012 : Epoch  2, Batch    458, Loss  0.870563, Average Loss  0.876013, Time  0.413338
2021-09-22 20:52:12.026368 : Epoch  1, Batch    511, Loss  0.805914, Average Loss  0.805754, Time  0.325107
2021-09-22 20:52:13.893887 : Epoch  1, Batch    512, Loss  0.797911, Average Loss  0.805688, Time  0.250583
2021-09-22 20:52:15.049407 : Epoch  2, Batch    459, Loss  0.864417, Average Loss  0.875959, Time  0.413204
2021-09-22 20:52:15.778890 : Epoch  1, Batch    513, Loss  0.798320, Average Loss  0.805651, Time  0.250645
2021-09-22 20:52:17.660962 : Epoch  1, Batch    514, Loss  0.805479, Average Loss  0.805638, Time  0.251237
2021-09-22 20:52:19.539381 : Epoch  1, Batch    515, Loss  0.800460, Average Loss  0.805601, Time  0.249950
2021-09-22 20:52:20.013886 : Epoch  2, Batch    460, Loss  0.865636, Average Loss  0.875946, Time  0.414623
2021-09-22 20:52:21.407175 : Epoch  1, Batch    516, Loss  0.796760, Average Loss  0.805554, Time  0.249706
2021-09-22 20:52:23.274612 : Epoch  1, Batch    517, Loss  0.801795, Average Loss  0.805516, Time  0.249601
2021-09-22 20:52:24.961987 : Epoch  2, Batch    461, Loss  0.864391, Average Loss  0.875884, Time  0.413045
2021-09-22 20:52:25.148832 : Epoch  1, Batch    518, Loss  0.801822, Average Loss  0.805491, Time  0.250131
2021-09-22 20:52:27.088420 : Epoch  1, Batch    519, Loss  0.808661, Average Loss  0.805423, Time  0.325235
2021-09-22 20:52:28.970591 : Epoch  1, Batch    520, Loss  0.791256, Average Loss  0.805346, Time  0.250453
2021-09-22 20:52:29.927007 : Epoch  2, Batch    462, Loss  0.860968, Average Loss  0.875863, Time  0.413561
2021-09-22 20:52:30.832655 : Epoch  1, Batch    521, Loss  0.797396, Average Loss  0.805270, Time  0.249946
2021-09-22 20:52:32.699558 : Epoch  1, Batch    522, Loss  0.791390, Average Loss  0.805189, Time  0.251608
2021-09-22 20:52:34.566898 : Epoch  1, Batch    523, Loss  0.790017, Average Loss  0.805146, Time  0.251218
2021-09-22 20:52:34.944831 : Epoch  2, Batch    463, Loss  0.879535, Average Loss  0.875847, Time  0.465603
2021-09-22 20:52:36.432642 : Epoch  1, Batch    524, Loss  0.798657, Average Loss  0.805072, Time  0.249855
2021-09-22 20:52:38.300785 : Epoch  1, Batch    525, Loss  0.793729, Average Loss  0.805014, Time  0.250050
2021-09-22 20:52:39.899789 : Epoch  2, Batch    464, Loss  0.861717, Average Loss  0.875712, Time  0.417304
2021-09-22 20:52:40.149963 : Epoch  1, Batch    526, Loss  0.798484, Average Loss  0.804938, Time  0.250236
2021-09-22 20:52:42.073457 : Epoch  1, Batch    527, Loss  0.810130, Average Loss  0.804940, Time  0.326754
2021-09-22 20:52:43.943614 : Epoch  1, Batch    528, Loss  0.799808, Average Loss  0.804866, Time  0.262702
2021-09-22 20:52:44.942011 : Epoch  2, Batch    465, Loss  0.864812, Average Loss  0.875590, Time  0.413449
2021-09-22 20:52:45.816635 : Epoch  1, Batch    529, Loss  0.793325, Average Loss  0.804821, Time  0.249842
2021-09-22 20:52:47.702474 : Epoch  1, Batch    530, Loss  0.801239, Average Loss  0.804820, Time  0.251340
2021-09-22 20:52:49.565873 : Epoch  1, Batch    531, Loss  0.795099, Average Loss  0.804804, Time  0.250084
2021-09-22 20:52:49.895889 : Epoch  2, Batch    466, Loss  0.872093, Average Loss  0.875541, Time  0.413898
2021-09-22 20:52:51.431034 : Epoch  1, Batch    532, Loss  0.789745, Average Loss  0.804708, Time  0.250548
2021-09-22 20:52:53.296833 : Epoch  1, Batch    533, Loss  0.793694, Average Loss  0.804669, Time  0.252752
2021-09-22 20:52:54.846611 : Epoch  2, Batch    467, Loss  0.874158, Average Loss  0.875504, Time  0.414842
2021-09-22 20:52:55.168170 : Epoch  1, Batch    534, Loss  0.791106, Average Loss  0.804596, Time  0.249944
2021-09-22 20:52:57.012002 : Epoch  1, Batch    535, Loss  0.798826, Average Loss  0.804528, Time  0.252068
2021-09-22 20:52:58.962994 : Epoch  1, Batch    536, Loss  0.792510, Average Loss  0.804438, Time  0.341537
2021-09-22 20:52:59.837788 : Epoch  2, Batch    468, Loss  0.871557, Average Loss  0.875453, Time  0.415386
2021-09-22 20:53:00.820895 : Epoch  1, Batch    537, Loss  0.799163, Average Loss  0.804370, Time  0.250577
2021-09-22 20:53:01.049776 : CheckPoint: Validation Loss  0.00033734, Best Loss  0.00033591
2021-09-22 20:53:02.687751 : Epoch  1, Batch    538, Loss  0.796029, Average Loss  0.804288, Time  0.249424
2021-09-22 20:53:02.942493 : Epoch  1, Batch    501, Loss  0.800790, Average Loss  0.807359, Time  0.253839
2021-09-22 20:53:04.556879 : Epoch  1, Batch    539, Loss  0.799339, Average Loss  0.804257, Time  0.251776
2021-09-22 20:53:04.829883 : Epoch  2, Batch    469, Loss  0.872369, Average Loss  0.875419, Time  0.424734
2021-09-22 20:53:06.435187 : Epoch  1, Batch    540, Loss  0.790405, Average Loss  0.804142, Time  0.250778
2021-09-22 20:53:06.724747 : Epoch  1, Batch    503, Loss  0.807507, Average Loss  0.807302, Time  0.253897
2021-09-22 20:53:08.296882 : Epoch  1, Batch    541, Loss  0.791165, Average Loss  0.804055, Time  0.248690
2021-09-22 20:53:08.629153 : Epoch  1, Batch    504, Loss  0.808535, Average Loss  0.807271, Time  0.254455
2021-09-22 20:53:09.839457 : Epoch  2, Batch    470, Loss  0.861375, Average Loss  0.875265, Time  0.417852
2021-09-22 20:53:10.157871 : Epoch  1, Batch    542, Loss  0.797407, Average Loss  0.804000, Time  0.250620
2021-09-22 20:53:10.530401 : Epoch  1, Batch    505, Loss  0.801826, Average Loss  0.807235, Time  0.255502
2021-09-22 20:53:12.018348 : Epoch  1, Batch    543, Loss  0.800102, Average Loss  0.804002, Time  0.249283
2021-09-22 20:53:12.424764 : Epoch  1, Batch    506, Loss  0.806906, Average Loss  0.807249, Time  0.254008
2021-09-22 20:53:13.888355 : Epoch  1, Batch    544, Loss  0.790223, Average Loss  0.803903, Time  0.250794
2021-09-22 20:53:14.326913 : Epoch  1, Batch    507, Loss  0.807879, Average Loss  0.807208, Time  0.253427
2021-09-22 20:53:14.821668 : Epoch  2, Batch    471, Loss  0.872350, Average Loss  0.875271, Time  0.414625
2021-09-22 20:53:15.754699 : Epoch  1, Batch    545, Loss  0.792742, Average Loss  0.803822, Time  0.251202
2021-09-22 20:53:16.222384 : Epoch  1, Batch    508, Loss  0.807950, Average Loss  0.807223, Time  0.254275
2021-09-22 20:53:17.618453 : Epoch  1, Batch    546, Loss  0.797778, Average Loss  0.803757, Time  0.249118
2021-09-22 20:53:18.122575 : Epoch  1, Batch    509, Loss  0.811155, Average Loss  0.807242, Time  0.253449
2021-09-22 20:53:19.502908 : Epoch  1, Batch    547, Loss  0.794058, Average Loss  0.803682, Time  0.250545
2021-09-22 20:53:19.781502 : Epoch  2, Batch    472, Loss  0.865311, Average Loss  0.875274, Time  0.413728
2021-09-22 20:53:20.038350 : Epoch  1, Batch    510, Loss  0.799830, Average Loss  0.807249, Time  0.253164
2021-09-22 20:53:21.383136 : Epoch  1, Batch    548, Loss  0.782371, Average Loss  0.803575, Time  0.249449
2021-09-22 20:53:21.930986 : Epoch  1, Batch    511, Loss  0.805053, Average Loss  0.807212, Time  0.253145
2021-09-22 20:53:23.243715 : Epoch  1, Batch    549, Loss  0.794342, Average Loss  0.803489, Time  0.250185
2021-09-22 20:53:23.831226 : Epoch  1, Batch    512, Loss  0.799055, Average Loss  0.807170, Time  0.253623
2021-09-22 20:53:25.117115 : Epoch  1, Batch    550, Loss  0.791200, Average Loss  0.803399, Time  0.250655
2021-09-22 20:53:25.740970 : Epoch  1, Batch    513, Loss  0.800833, Average Loss  0.807136, Time  0.255991
2021-09-22 20:53:26.982482 : Epoch  1, Batch    551, Loss  0.789651, Average Loss  0.803273, Time  0.249253
2021-09-22 20:53:27.640778 : Epoch  1, Batch    514, Loss  0.803944, Average Loss  0.807118, Time  0.252711
2021-09-22 20:53:28.848500 : Epoch  1, Batch    552, Loss  0.802976, Average Loss  0.803206, Time  0.249841
2021-09-22 20:53:29.548000 : Epoch  1, Batch    515, Loss  0.808979, Average Loss  0.807105, Time  0.254599
2021-09-22 20:53:30.718744 : Epoch  1, Batch    553, Loss  0.793732, Average Loss  0.803084, Time  0.250972
2021-09-22 20:53:31.434991 : Epoch  1, Batch    516, Loss  0.810510, Average Loss  0.807150, Time  0.254025
2021-09-22 20:53:32.584645 : Epoch  1, Batch    554, Loss  0.789200, Average Loss  0.802997, Time  0.250144
2021-09-22 20:53:33.325942 : Epoch  1, Batch    517, Loss  0.810075, Average Loss  0.807141, Time  0.254091
2021-09-22 20:53:34.446411 : Epoch  1, Batch    555, Loss  0.793896, Average Loss  0.802884, Time  0.251874
2021-09-22 20:53:35.223961 : Epoch  1, Batch    518, Loss  0.805700, Average Loss  0.807110, Time  0.254426
2021-09-22 20:53:36.308547 : Epoch  1, Batch    556, Loss  0.793603, Average Loss  0.802816, Time  0.251240
2021-09-22 20:53:37.119678 : Epoch  1, Batch    519, Loss  0.803570, Average Loss  0.807037, Time  0.255183
2021-09-22 20:53:38.173695 : Epoch  1, Batch    557, Loss  0.787470, Average Loss  0.802703, Time  0.250730
2021-09-22 20:53:39.015303 : Epoch  1, Batch    520, Loss  0.805746, Average Loss  0.807093, Time  0.254122
2021-09-22 20:53:40.045811 : Epoch  1, Batch    558, Loss  0.796069, Average Loss  0.802603, Time  0.249878
2021-09-22 20:53:40.908517 : Epoch  1, Batch    521, Loss  0.802138, Average Loss  0.807073, Time  0.253867
2021-09-22 20:53:41.920111 : Epoch  1, Batch    559, Loss  0.801469, Average Loss  0.802581, Time  0.249776
2021-09-22 20:53:42.818031 : Epoch  1, Batch    522, Loss  0.808045, Average Loss  0.807062, Time  0.257216
2021-09-22 20:53:43.812280 : Epoch  1, Batch    560, Loss  0.775889, Average Loss  0.802438, Time  0.254250
2021-09-22 20:53:44.727221 : Epoch  1, Batch    523, Loss  0.808316, Average Loss  0.807028, Time  0.256991
2021-09-22 20:53:45.681051 : Epoch  1, Batch    561, Loss  0.797691, Average Loss  0.802366, Time  0.249351
2021-09-22 20:53:46.626344 : Epoch  1, Batch    524, Loss  0.803953, Average Loss  0.806995, Time  0.253524
2021-09-22 20:53:47.546336 : Epoch  1, Batch    562, Loss  0.798948, Average Loss  0.802323, Time  0.248946
2021-09-22 20:53:48.546525 : Epoch  1, Batch    525, Loss  0.797880, Average Loss  0.806961, Time  0.256152
2021-09-22 20:53:49.423860 : Epoch  1, Batch    563, Loss  0.795446, Average Loss  0.802262, Time  0.254154
2021-09-22 20:53:50.444614 : Epoch  1, Batch    526, Loss  0.797987, Average Loss  0.806911, Time  0.254110
2021-09-22 20:53:51.278617 : Epoch  1, Batch    564, Loss  0.795240, Average Loss  0.802211, Time  0.250585
2021-09-22 20:53:52.340312 : Epoch  1, Batch    527, Loss  0.804461, Average Loss  0.806882, Time  0.254044
2021-09-22 20:53:53.159357 : Epoch  1, Batch    565, Loss  0.798911, Average Loss  0.802177, Time  0.253940
2021-09-22 20:53:54.243807 : Epoch  1, Batch    528, Loss  0.800296, Average Loss  0.806843, Time  0.255807
2021-09-22 20:53:55.074729 : Epoch  1, Batch    566, Loss  0.792980, Average Loss  0.802123, Time  0.249942
2021-09-22 20:53:56.149243 : Epoch  1, Batch    529, Loss  0.803689, Average Loss  0.806791, Time  0.255039
2021-09-22 20:53:56.936735 : Epoch  1, Batch    567, Loss  0.792400, Average Loss  0.802019, Time  0.250057
2021-09-22 20:53:58.059381 : Epoch  1, Batch    530, Loss  0.808293, Average Loss  0.806751, Time  0.253761
2021-09-22 20:53:58.813496 : Epoch  1, Batch    568, Loss  0.784055, Average Loss  0.801856, Time  0.249784
2021-09-22 20:53:59.991755 : Epoch  1, Batch    531, Loss  0.809332, Average Loss  0.806754, Time  0.261853
2021-09-22 20:54:00.697773 : Epoch  1, Batch    569, Loss  0.790336, Average Loss  0.801761, Time  0.249236
2021-09-22 20:54:01.898883 : Epoch  1, Batch    532, Loss  0.800627, Average Loss  0.806707, Time  0.253209
2021-09-22 20:54:02.581076 : Epoch  1, Batch    570, Loss  0.788672, Average Loss  0.801656, Time  0.249505
2021-09-22 20:54:03.803545 : Epoch  1, Batch    533, Loss  0.804883, Average Loss  0.806736, Time  0.255610
2021-09-22 20:54:05.703989 : Epoch  1, Batch    534, Loss  0.800343, Average Loss  0.806687, Time  0.255103
2021-09-22 20:54:06.707800 : Epoch  1, Batch    571, Loss  0.787952, Average Loss  0.801585, Time  0.250214
2021-09-22 20:54:07.606735 : Epoch  1, Batch    535, Loss  0.811743, Average Loss  0.806726, Time  0.255749
2021-09-22 20:54:08.569181 : Epoch  1, Batch    572, Loss  0.788818, Average Loss  0.801515, Time  0.250286
2021-09-22 20:54:09.504246 : Epoch  1, Batch    536, Loss  0.810387, Average Loss  0.806728, Time  0.254296
2021-09-22 20:54:10.442076 : Epoch  1, Batch    573, Loss  0.790600, Average Loss  0.801473, Time  0.251043
2021-09-22 20:54:11.409602 : Epoch  1, Batch    537, Loss  0.794786, Average Loss  0.806608, Time  0.254221
2021-09-22 20:54:12.297383 : Epoch  1, Batch    574, Loss  0.791225, Average Loss  0.801431, Time  0.251381
2021-09-22 20:54:13.315715 : Epoch  1, Batch    538, Loss  0.796038, Average Loss  0.806537, Time  0.256137
2021-09-22 20:54:14.169022 : Epoch  1, Batch    575, Loss  0.794507, Average Loss  0.801385, Time  0.250229
2021-09-22 20:54:15.212651 : Epoch  1, Batch    539, Loss  0.806886, Average Loss  0.806528, Time  0.254322
2021-09-22 20:54:16.042184 : Epoch  1, Batch    576, Loss  0.792670, Average Loss  0.801301, Time  0.250049
2021-09-22 20:54:17.112070 : Epoch  1, Batch    540, Loss  0.817730, Average Loss  0.806576, Time  0.255645
2021-09-22 20:54:17.919207 : Epoch  1, Batch    577, Loss  0.784138, Average Loss  0.801194, Time  0.250340
2021-09-22 20:54:19.000679 : Epoch  1, Batch    541, Loss  0.798399, Average Loss  0.806528, Time  0.253731
2021-09-22 20:54:19.825423 : Epoch  1, Batch    578, Loss  0.795640, Average Loss  0.801150, Time  0.255236
2021-09-22 20:54:20.894427 : Epoch  1, Batch    542, Loss  0.804736, Average Loss  0.806458, Time  0.256441
2021-09-22 20:54:21.709484 : Epoch  1, Batch    579, Loss  0.794861, Average Loss  0.801082, Time  0.253534
2021-09-22 20:54:22.781480 : Epoch  1, Batch    543, Loss  0.809540, Average Loss  0.806480, Time  0.253689
2021-09-22 20:54:23.590150 : Epoch  1, Batch    580, Loss  0.793096, Average Loss  0.800995, Time  0.252168
2021-09-22 20:54:24.682611 : Epoch  1, Batch    544, Loss  0.809314, Average Loss  0.806498, Time  0.254637
2021-09-22 20:54:25.472622 : Epoch  1, Batch    581, Loss  0.798966, Average Loss  0.800977, Time  0.253166
2021-09-22 20:54:26.578305 : Epoch  1, Batch    545, Loss  0.797589, Average Loss  0.806464, Time  0.253550
2021-09-22 20:54:27.355173 : Epoch  1, Batch    582, Loss  0.786994, Average Loss  0.800857, Time  0.251169
2021-09-22 20:54:28.488792 : Epoch  1, Batch    546, Loss  0.800336, Average Loss  0.806420, Time  0.254064
2021-09-22 20:54:29.230821 : Epoch  1, Batch    583, Loss  0.798821, Average Loss  0.800781, Time  0.251265
2021-09-22 20:54:30.395016 : Epoch  1, Batch    547, Loss  0.797579, Average Loss  0.806355, Time  0.253763
2021-09-22 20:54:31.112425 : Epoch  1, Batch    584, Loss  0.788506, Average Loss  0.800691, Time  0.251598
2021-09-22 20:54:32.306350 : Epoch  1, Batch    548, Loss  0.802868, Average Loss  0.806308, Time  0.253504
2021-09-22 20:54:33.008088 : Epoch  1, Batch    585, Loss  0.788493, Average Loss  0.800630, Time  0.257112
2021-09-22 20:54:34.209382 : Epoch  1, Batch    549, Loss  0.798818, Average Loss  0.806287, Time  0.252748
2021-09-22 20:54:34.898410 : Epoch  1, Batch    586, Loss  0.797272, Average Loss  0.800540, Time  0.253077
2021-09-22 20:54:36.111223 : Epoch  1, Batch    550, Loss  0.803892, Average Loss  0.806287, Time  0.254575
2021-09-22 20:54:36.778070 : Epoch  1, Batch    587, Loss  0.794043, Average Loss  0.800497, Time  0.251254
2021-09-22 20:54:38.012675 : Epoch  1, Batch    551, Loss  0.797442, Average Loss  0.806257, Time  0.254192
2021-09-22 20:54:38.659403 : Epoch  1, Batch    588, Loss  0.787874, Average Loss  0.800398, Time  0.249952
2021-09-22 20:54:39.924297 : Epoch  1, Batch    552, Loss  0.794556, Average Loss  0.806176, Time  0.254053
2021-09-22 20:54:40.575233 : Epoch  1, Batch    589, Loss  0.783615, Average Loss  0.800298, Time  0.250757
2021-09-22 20:54:41.839599 : Epoch  1, Batch    553, Loss  0.803203, Average Loss  0.806081, Time  0.254971
2021-09-22 20:54:42.448801 : Epoch  1, Batch    590, Loss  0.804628, Average Loss  0.800301, Time  0.252317
2021-09-22 20:54:43.755028 : Epoch  1, Batch    554, Loss  0.817501, Average Loss  0.806121, Time  0.256964
2021-09-22 20:54:44.313443 : Epoch  1, Batch    591, Loss  0.792240, Average Loss  0.800265, Time  0.251205
2021-09-22 20:54:45.672793 : Epoch  1, Batch    555, Loss  0.808299, Average Loss  0.806125, Time  0.263243
2021-09-22 20:54:46.185169 : Epoch  1, Batch    592, Loss  0.796582, Average Loss  0.800250, Time  0.250553
2021-09-22 20:54:47.578227 : Epoch  1, Batch    556, Loss  0.800415, Average Loss  0.806118, Time  0.254412
2021-09-22 20:54:48.083491 : Epoch  1, Batch    593, Loss  0.789071, Average Loss  0.800152, Time  0.254755
2021-09-22 20:54:49.496650 : Epoch  1, Batch    557, Loss  0.810653, Average Loss  0.806135, Time  0.254973
2021-09-22 20:54:49.957912 : Epoch  1, Batch    594, Loss  0.798929, Average Loss  0.800129, Time  0.250410
2021-09-22 20:54:51.424671 : Epoch  1, Batch    558, Loss  0.802549, Average Loss  0.806097, Time  0.255332
2021-09-22 20:54:51.833054 : Epoch  1, Batch    595, Loss  0.793582, Average Loss  0.800079, Time  0.249446
2021-09-22 20:54:53.329602 : Epoch  1, Batch    559, Loss  0.803305, Average Loss  0.806066, Time  0.254704
2021-09-22 20:54:53.705738 : Epoch  1, Batch    596, Loss  0.785319, Average Loss  0.799938, Time  0.249485
2021-09-22 20:54:55.235860 : Epoch  1, Batch    560, Loss  0.802570, Average Loss  0.806030, Time  0.256175
2021-09-22 20:54:55.589828 : Epoch  1, Batch    597, Loss  0.790025, Average Loss  0.799857, Time  0.251272
2021-09-22 20:54:57.145901 : Epoch  1, Batch    561, Loss  0.804504, Average Loss  0.805973, Time  0.254068
2021-09-22 20:54:57.476831 : Epoch  1, Batch    598, Loss  0.793133, Average Loss  0.799826, Time  0.250664
2021-09-22 20:54:59.068330 : Epoch  1, Batch    562, Loss  0.805525, Average Loss  0.805982, Time  0.254445
2021-09-22 20:54:59.350162 : Epoch  1, Batch    599, Loss  0.787108, Average Loss  0.799633, Time  0.252604
2021-09-22 20:55:00.983424 : Epoch  1, Batch    563, Loss  0.808139, Average Loss  0.805961, Time  0.253616
2021-09-22 20:55:01.231327 : Epoch  1, Batch    600, Loss  0.803539, Average Loss  0.799620, Time  0.253979
2021-09-22 20:55:02.898578 : Epoch  1, Batch    564, Loss  0.787958, Average Loss  0.805865, Time  0.254900
2021-09-22 20:55:04.835896 : Epoch  1, Batch    565, Loss  0.803396, Average Loss  0.805881, Time  0.254173
2021-09-22 20:55:06.747352 : Epoch  1, Batch    566, Loss  0.800961, Average Loss  0.805888, Time  0.256849
2021-09-22 20:55:08.724351 : Epoch  1, Batch    567, Loss  0.793285, Average Loss  0.805831, Time  0.326963
2021-09-22 20:55:10.625545 : Epoch  1, Batch    568, Loss  0.813607, Average Loss  0.805857, Time  0.261815
2021-09-22 20:55:12.515646 : Epoch  1, Batch    569, Loss  0.796521, Average Loss  0.805763, Time  0.253403
2021-09-22 20:55:14.412034 : Epoch  1, Batch    570, Loss  0.796376, Average Loss  0.805716, Time  0.256076
2021-09-22 20:55:18.630627 : Epoch  1, Batch    571, Loss  0.801251, Average Loss  0.805653, Time  0.327936
2021-09-22 20:55:20.551518 : Epoch  1, Batch    572, Loss  0.810951, Average Loss  0.805617, Time  0.253442
2021-09-22 20:55:22.486172 : Epoch  1, Batch    573, Loss  0.798918, Average Loss  0.805599, Time  0.253755
2021-09-22 20:55:24.388275 : Epoch  1, Batch    574, Loss  0.793701, Average Loss  0.805521, Time  0.254155
2021-09-22 20:55:26.292551 : Epoch  1, Batch    575, Loss  0.800998, Average Loss  0.805510, Time  0.254272
2021-09-22 20:55:28.215157 : Epoch  1, Batch    576, Loss  0.820106, Average Loss  0.805546, Time  0.256004
2021-09-22 20:55:30.220643 : Epoch  1, Batch    577, Loss  0.793969, Average Loss  0.805483, Time  0.348607
2021-09-22 20:55:32.116725 : Epoch  1, Batch    578, Loss  0.795995, Average Loss  0.805440, Time  0.255541
2021-09-22 20:55:34.032232 : Epoch  1, Batch    579, Loss  0.801156, Average Loss  0.805409, Time  0.252563
2021-09-22 20:55:35.946387 : Epoch  1, Batch    580, Loss  0.798921, Average Loss  0.805328, Time  0.253706
2021-09-22 20:55:37.877105 : Epoch  1, Batch    581, Loss  0.796193, Average Loss  0.805310, Time  0.253887
2021-09-22 20:55:38.043040 : Epoch  1, Batch    582, Loss  0.756959, Average Loss  0.805049, Time  0.123926
2021-09-22 20:55:40.013492 : Epoch  1, Batch    583, Loss  0.799157, Average Loss  0.804986, Time  0.328548
2021-09-22 20:55:41.939588 : Epoch  1, Batch    584, Loss  0.801586, Average Loss  0.804944, Time  0.253492
2021-09-22 20:55:43.840963 : Epoch  1, Batch    585, Loss  0.800905, Average Loss  0.804898, Time  0.253742
2021-09-22 20:55:45.748945 : Epoch  1, Batch    586, Loss  0.808729, Average Loss  0.804920, Time  0.252733
2021-09-22 20:55:47.654378 : Epoch  1, Batch    587, Loss  0.803143, Average Loss  0.804917, Time  0.253511
2021-09-22 20:55:49.574404 : Epoch  1, Batch    588, Loss  0.814133, Average Loss  0.804968, Time  0.253166
2021-09-22 20:55:51.565351 : Epoch  1, Batch    589, Loss  0.798697, Average Loss  0.804942, Time  0.333244
2021-09-22 20:55:53.463763 : Epoch  1, Batch    590, Loss  0.811874, Average Loss  0.804985, Time  0.253797
2021-09-22 20:55:55.362371 : Epoch  1, Batch    591, Loss  0.804420, Average Loss  0.804994, Time  0.253781
2021-09-22 20:55:57.266899 : Epoch  1, Batch    592, Loss  0.804951, Average Loss  0.804957, Time  0.254392
2021-09-22 20:55:59.179927 : Epoch  1, Batch    593, Loss  0.809391, Average Loss  0.804988, Time  0.254783
2021-09-22 20:56:01.076299 : Epoch  1, Batch    594, Loss  0.802203, Average Loss  0.804966, Time  0.252870
2021-09-22 20:56:03.055250 : Epoch  1, Batch    595, Loss  0.806746, Average Loss  0.804945, Time  0.329144
2021-09-22 20:56:04.959039 : Epoch  1, Batch    596, Loss  0.814015, Average Loss  0.805013, Time  0.255895
2021-09-22 20:56:06.861376 : Epoch  1, Batch    597, Loss  0.799527, Average Loss  0.804946, Time  0.256590
2021-09-22 20:56:08.782887 : Epoch  1, Batch    598, Loss  0.790909, Average Loss  0.804850, Time  0.253394
2021-09-22 20:56:10.685692 : Epoch  1, Batch    599, Loss  0.803798, Average Loss  0.804792, Time  0.252953
2021-09-22 20:56:11.678700 : CheckPoint: Validation Loss  0.00032620, Best Loss  0.00032583
2021-09-22 20:56:12.591473 : Epoch  1, Batch    600, Loss  0.801037, Average Loss  0.804830, Time  0.253000
2021-09-22 20:56:13.562790 : Epoch  1, Batch    601, Loss  0.789159, Average Loss  0.799516, Time  0.251675
2021-09-22 20:56:15.430839 : Epoch  1, Batch    602, Loss  0.786098, Average Loss  0.799416, Time  0.249437
2021-09-22 20:56:17.308879 : Epoch  1, Batch    603, Loss  0.784709, Average Loss  0.799343, Time  0.250099
2021-09-22 20:56:19.175060 : Epoch  1, Batch    604, Loss  0.801730, Average Loss  0.799331, Time  0.252454
2021-09-22 20:56:21.044440 : Epoch  1, Batch    605, Loss  0.797334, Average Loss  0.799270, Time  0.249392
2021-09-22 20:56:22.902722 : Epoch  1, Batch    606, Loss  0.775572, Average Loss  0.799122, Time  0.251386
2021-09-22 20:56:24.775312 : Epoch  1, Batch    607, Loss  0.795130, Average Loss  0.799089, Time  0.250200
2021-09-22 20:56:26.726409 : Epoch  1, Batch    608, Loss  0.778759, Average Loss  0.798958, Time  0.327475
2021-09-22 20:56:28.611824 : Epoch  1, Batch    609, Loss  0.786797, Average Loss  0.798858, Time  0.249617
2021-09-22 20:56:30.502811 : Epoch  1, Batch    610, Loss  0.782844, Average Loss  0.798733, Time  0.250235
2021-09-22 20:56:32.375379 : Epoch  1, Batch    611, Loss  0.792940, Average Loss  0.798722, Time  0.250353
2021-09-22 20:56:34.262671 : Epoch  1, Batch    612, Loss  0.781133, Average Loss  0.798574, Time  0.249604
2021-09-22 20:56:36.141807 : Epoch  1, Batch    613, Loss  0.784256, Average Loss  0.798435, Time  0.249969
2021-09-22 20:56:38.011971 : Epoch  1, Batch    614, Loss  0.797492, Average Loss  0.798353, Time  0.251086
2021-09-22 20:56:39.961251 : Epoch  1, Batch    615, Loss  0.790785, Average Loss  0.798225, Time  0.327254
2021-09-22 20:56:41.828637 : Epoch  1, Batch    616, Loss  0.785156, Average Loss  0.798103, Time  0.261064
2021-09-22 20:56:43.694608 : Epoch  1, Batch    617, Loss  0.788300, Average Loss  0.798025, Time  0.252753
2021-09-22 20:56:45.567347 : Epoch  1, Batch    618, Loss  0.777080, Average Loss  0.797911, Time  0.250934
2021-09-22 20:56:47.450809 : Epoch  1, Batch    619, Loss  0.798382, Average Loss  0.797846, Time  0.250476
2021-09-22 20:56:49.342425 : Epoch  1, Batch    620, Loss  0.786364, Average Loss  0.797793, Time  0.250129
2021-09-22 20:56:51.207437 : Epoch  1, Batch    621, Loss  0.779813, Average Loss  0.797661, Time  0.251271
2021-09-22 20:56:53.064401 : Epoch  1, Batch    622, Loss  0.784096, Average Loss  0.797490, Time  0.250174
2021-09-22 20:56:54.945796 : Epoch  1, Batch    623, Loss  0.781721, Average Loss  0.797378, Time  0.250763
2021-09-22 20:56:56.893743 : Epoch  1, Batch    624, Loss  0.784002, Average Loss  0.797262, Time  0.325949
2021-09-22 20:56:58.750705 : Epoch  1, Batch    625, Loss  0.790281, Average Loss  0.797187, Time  0.250530
2021-09-22 20:57:00.620856 : Epoch  1, Batch    626, Loss  0.785108, Average Loss  0.797078, Time  0.252605
2021-09-22 20:57:02.491832 : Epoch  1, Batch    627, Loss  0.793398, Average Loss  0.797059, Time  0.250104
2021-09-22 20:57:04.354822 : Epoch  1, Batch    628, Loss  0.788926, Average Loss  0.796986, Time  0.250126
2021-09-22 20:57:06.226665 : Epoch  1, Batch    629, Loss  0.787960, Average Loss  0.796897, Time  0.251348
2021-09-22 20:57:08.096003 : Epoch  1, Batch    630, Loss  0.801648, Average Loss  0.796852, Time  0.252195
2021-09-22 20:57:09.961383 : Epoch  1, Batch    631, Loss  0.792862, Average Loss  0.796787, Time  0.252666
2021-09-22 20:57:11.905333 : Epoch  1, Batch    632, Loss  0.791126, Average Loss  0.796694, Time  0.326986
2021-09-22 20:57:13.771006 : Epoch  1, Batch    633, Loss  0.791755, Average Loss  0.796657, Time  0.250741
2021-09-22 20:57:15.640456 : Epoch  1, Batch    634, Loss  0.774984, Average Loss  0.796546, Time  0.253597
2021-09-22 20:57:17.554379 : Epoch  1, Batch    635, Loss  0.793385, Average Loss  0.796470, Time  0.250108
2021-09-22 20:57:19.421673 : Epoch  1, Batch    636, Loss  0.785811, Average Loss  0.796410, Time  0.249624
2021-09-22 20:57:19.595786 : CheckPoint: Validation Loss  0.00015348, Best Loss  0.00014923
2021-09-22 20:57:21.290770 : Epoch  1, Batch    637, Loss  0.793582, Average Loss  0.796355, Time  0.251251
2021-09-22 20:57:23.157262 : Epoch  1, Batch    638, Loss  0.782229, Average Loss  0.796237, Time  0.256247
2021-09-22 20:57:23.998175 : CheckPoint: Validation Loss  0.00033172, Best Loss  0.00033172
2021-09-22 20:57:24.060073 : Best Model Updated
2021-09-22 20:57:24.632054 : Epoch  2, Batch    473, Loss  0.883010, Average Loss  0.875349, Time  0.450503
2021-09-22 20:57:25.051641 : Epoch  1, Batch    639, Loss  0.783216, Average Loss  0.796145, Time  0.250234
2021-09-22 20:57:26.646019 : Epoch  1, Batch    601, Loss  0.792939, Average Loss  0.804755, Time  0.257378
2021-09-22 20:57:26.915762 : Epoch  1, Batch    640, Loss  0.792659, Average Loss  0.796070, Time  0.252107
2021-09-22 20:57:28.546602 : Epoch  1, Batch    602, Loss  0.802748, Average Loss  0.804711, Time  0.253414
2021-09-22 20:57:28.778129 : Epoch  1, Batch    641, Loss  0.788444, Average Loss  0.795985, Time  0.257113
2021-09-22 20:57:29.646910 : Epoch  2, Batch    474, Loss  0.865087, Average Loss  0.875292, Time  0.415374
2021-09-22 20:57:30.509983 : Epoch  1, Batch    603, Loss  0.807599, Average Loss  0.804720, Time  0.318886
2021-09-22 20:57:30.679934 : Epoch  1, Batch    642, Loss  0.777864, Average Loss  0.795820, Time  0.289446
2021-09-22 20:57:32.531626 : Epoch  1, Batch    604, Loss  0.815176, Average Loss  0.804707, Time  0.388762
2021-09-22 20:57:32.643859 : Epoch  1, Batch    643, Loss  0.792014, Average Loss  0.795783, Time  0.351934
2021-09-22 20:57:34.649354 : Epoch  1, Batch    605, Loss  0.798788, Average Loss  0.804674, Time  0.477771
2021-09-22 20:57:34.672309 : Epoch  2, Batch    475, Loss  0.873922, Average Loss  0.875249, Time  0.415209
2021-09-22 20:57:34.695829 : Epoch  1, Batch    644, Loss  0.794863, Average Loss  0.795743, Time  0.439823
2021-09-22 20:57:36.822528 : Epoch  1, Batch    645, Loss  0.777415, Average Loss  0.795589, Time  0.520280
2021-09-22 20:57:36.867111 : Epoch  1, Batch    606, Loss  0.797902, Average Loss  0.804671, Time  0.523373
2021-09-22 20:57:38.941693 : Epoch  1, Batch    646, Loss  0.779979, Average Loss  0.795440, Time  0.492705
2021-09-22 20:57:38.972824 : Epoch  1, Batch    607, Loss  0.804413, Average Loss  0.804639, Time  0.463222
2021-09-22 20:57:39.716994 : Epoch  2, Batch    476, Loss  0.875424, Average Loss  0.875239, Time  0.415278
2021-09-22 20:57:41.054363 : Epoch  1, Batch    647, Loss  0.781270, Average Loss  0.795322, Time  0.493832
2021-09-22 20:57:41.090380 : Epoch  1, Batch    608, Loss  0.803104, Average Loss  0.804657, Time  0.461060
2021-09-22 20:57:43.178296 : Epoch  1, Batch    648, Loss  0.794018, Average Loss  0.795216, Time  0.494794
2021-09-22 20:57:43.229468 : Epoch  1, Batch    609, Loss  0.795984, Average Loss  0.804654, Time  0.468614
2021-09-22 20:57:44.742778 : Epoch  2, Batch    477, Loss  0.874042, Average Loss  0.875171, Time  0.431699
2021-09-22 20:57:45.289092 : Epoch  1, Batch    649, Loss  0.782847, Average Loss  0.795074, Time  0.480074
2021-09-22 20:57:45.333086 : Epoch  1, Batch    610, Loss  0.793822, Average Loss  0.804580, Time  0.450763
2021-09-22 20:57:47.402996 : Epoch  1, Batch    650, Loss  0.785011, Average Loss  0.795008, Time  0.486122
2021-09-22 20:57:47.436882 : Epoch  1, Batch    611, Loss  0.803000, Average Loss  0.804534, Time  0.455609
2021-09-22 20:57:49.468150 : Epoch  1, Batch    651, Loss  0.787435, Average Loss  0.794922, Time  0.450286
2021-09-22 20:57:49.538292 : Epoch  1, Batch    612, Loss  0.786932, Average Loss  0.804465, Time  0.424232
2021-09-22 20:57:49.786839 : Epoch  2, Batch    478, Loss  0.874904, Average Loss  0.875116, Time  0.418339
2021-09-22 20:57:51.537739 : Epoch  1, Batch    652, Loss  0.778563, Average Loss  0.794811, Time  0.446877
2021-09-22 20:57:51.615376 : Epoch  1, Batch    613, Loss  0.790299, Average Loss  0.804370, Time  0.418314
2021-09-22 20:57:53.602483 : Epoch  1, Batch    653, Loss  0.786864, Average Loss  0.794727, Time  0.440242
2021-09-22 20:57:53.679888 : Epoch  1, Batch    614, Loss  0.793318, Average Loss  0.804282, Time  0.409230
2021-09-22 20:57:54.816853 : Epoch  2, Batch    479, Loss  0.872119, Average Loss  0.875064, Time  0.415540
2021-09-22 20:57:55.646094 : Epoch  1, Batch    654, Loss  0.783129, Average Loss  0.794583, Time  0.427832
2021-09-22 20:57:55.728401 : Epoch  1, Batch    615, Loss  0.791246, Average Loss  0.804246, Time  0.397572
2021-09-22 20:57:57.708546 : Epoch  1, Batch    655, Loss  0.774734, Average Loss  0.794443, Time  0.436021
2021-09-22 20:57:57.785369 : Epoch  1, Batch    616, Loss  0.790917, Average Loss  0.804160, Time  0.403567
2021-09-22 20:57:59.754186 : Epoch  1, Batch    656, Loss  0.775287, Average Loss  0.794262, Time  0.430640
2021-09-22 20:57:59.834979 : Epoch  1, Batch    617, Loss  0.797551, Average Loss  0.804099, Time  0.399395
2021-09-22 20:57:59.890884 : Epoch  2, Batch    480, Loss  0.867989, Average Loss  0.875002, Time  0.415221
2021-09-22 20:58:01.797263 : Epoch  1, Batch    657, Loss  0.783661, Average Loss  0.794144, Time  0.428524
2021-09-22 20:58:01.878317 : Epoch  1, Batch    618, Loss  0.801003, Average Loss  0.804103, Time  0.399047
2021-09-22 20:58:03.842224 : Epoch  1, Batch    658, Loss  0.789790, Average Loss  0.794090, Time  0.423002
2021-09-22 20:58:03.928387 : Epoch  1, Batch    619, Loss  0.796870, Average Loss  0.804032, Time  0.392781
2021-09-22 20:58:04.889663 : Epoch  2, Batch    481, Loss  0.865768, Average Loss  0.874905, Time  0.413793
2021-09-22 20:58:05.886082 : Epoch  1, Batch    659, Loss  0.791496, Average Loss  0.794015, Time  0.423401
2021-09-22 20:58:05.970754 : Epoch  1, Batch    620, Loss  0.802915, Average Loss  0.803989, Time  0.393717
2021-09-22 20:58:07.957130 : Epoch  1, Batch    660, Loss  0.780072, Average Loss  0.793916, Time  0.443053
2021-09-22 20:58:08.030590 : Epoch  1, Batch    621, Loss  0.796138, Average Loss  0.803918, Time  0.413630
2021-09-22 20:58:09.928286 : Epoch  2, Batch    482, Loss  0.871202, Average Loss  0.874891, Time  0.460638
2021-09-22 20:58:10.070891 : Epoch  1, Batch    661, Loss  0.767572, Average Loss  0.793739, Time  0.476486
2021-09-22 20:58:10.117416 : Epoch  1, Batch    622, Loss  0.799617, Average Loss  0.803889, Time  0.443871
2021-09-22 20:58:12.154543 : Epoch  1, Batch    662, Loss  0.784208, Average Loss  0.793654, Time  0.472215
2021-09-22 20:58:12.204137 : Epoch  1, Batch    623, Loss  0.803331, Average Loss  0.803887, Time  0.442539
2021-09-22 20:58:14.208421 : Epoch  1, Batch    663, Loss  0.779151, Average Loss  0.793537, Time  0.450038
2021-09-22 20:58:14.273819 : Epoch  1, Batch    624, Loss  0.807801, Average Loss  0.803906, Time  0.419771
2021-09-22 20:58:14.913770 : Epoch  2, Batch    483, Loss  0.867161, Average Loss  0.874756, Time  0.414600
2021-09-22 20:58:16.286317 : Epoch  1, Batch    664, Loss  0.788423, Average Loss  0.793442, Time  0.456028
2021-09-22 20:58:16.347283 : Epoch  1, Batch    625, Loss  0.789200, Average Loss  0.803835, Time  0.425787
2021-09-22 20:58:18.384868 : Epoch  1, Batch    665, Loss  0.776456, Average Loss  0.793293, Time  0.478777
2021-09-22 20:58:18.430622 : Epoch  1, Batch    626, Loss  0.789797, Average Loss  0.803811, Time  0.447988
2021-09-22 20:58:19.895803 : Epoch  2, Batch    484, Loss  0.866752, Average Loss  0.874767, Time  0.414276
2021-09-22 20:58:20.493842 : Epoch  1, Batch    666, Loss  0.775428, Average Loss  0.793117, Time  0.480994
2021-09-22 20:58:20.537553 : Epoch  1, Batch    627, Loss  0.801784, Average Loss  0.803755, Time  0.451566
2021-09-22 20:58:22.567671 : Epoch  1, Batch    667, Loss  0.788975, Average Loss  0.793041, Time  0.467997
2021-09-22 20:58:22.630247 : Epoch  1, Batch    628, Loss  0.793536, Average Loss  0.803713, Time  0.441413
2021-09-22 20:58:24.666931 : Epoch  1, Batch    668, Loss  0.792248, Average Loss  0.792938, Time  0.471991
2021-09-22 20:58:24.706356 : Epoch  1, Batch    629, Loss  0.792142, Average Loss  0.803600, Time  0.440270
2021-09-22 20:58:24.877751 : Epoch  2, Batch    485, Loss  0.883778, Average Loss  0.874777, Time  0.413900
2021-09-22 20:58:26.735302 : Epoch  1, Batch    669, Loss  0.788410, Average Loss  0.792848, Time  0.466011
2021-09-22 20:58:26.790755 : Epoch  1, Batch    630, Loss  0.799026, Average Loss  0.803542, Time  0.433905
2021-09-22 20:58:28.821324 : Epoch  1, Batch    670, Loss  0.782977, Average Loss  0.792724, Time  0.472074
2021-09-22 20:58:28.868650 : Epoch  1, Batch    631, Loss  0.787801, Average Loss  0.803403, Time  0.434393
2021-09-22 20:58:29.863891 : Epoch  2, Batch    486, Loss  0.869969, Average Loss  0.874727, Time  0.413715
2021-09-22 20:58:30.786031 : Epoch  1, Batch    632, Loss  0.793814, Average Loss  0.803355, Time  0.261614
2021-09-22 20:58:32.763795 : Epoch  1, Batch    633, Loss  0.799141, Average Loss  0.803279, Time  0.329270
2021-09-22 20:58:32.919280 : Epoch  1, Batch    671, Loss  0.773813, Average Loss  0.792568, Time  0.291516
2021-09-22 20:58:34.855404 : Epoch  1, Batch    634, Loss  0.801394, Average Loss  0.803222, Time  0.432340
2021-09-22 20:58:34.933634 : Epoch  1, Batch    672, Loss  0.789119, Average Loss  0.792486, Time  0.393140
2021-09-22 20:58:37.042771 : Epoch  1, Batch    635, Loss  0.789467, Average Loss  0.803173, Time  0.516013
2021-09-22 20:58:37.073676 : Epoch  1, Batch    673, Loss  0.783974, Average Loss  0.792416, Time  0.475713
2021-09-22 20:58:39.190854 : Epoch  1, Batch    636, Loss  0.789965, Average Loss  0.803134, Time  0.513918
2021-09-22 20:58:39.213681 : Epoch  1, Batch    674, Loss  0.783376, Average Loss  0.792366, Time  0.492902
2021-09-22 20:58:39.859824 : Epoch  2, Batch    488, Loss  0.884677, Average Loss  0.874794, Time  0.413816
2021-09-22 20:58:41.338382 : Epoch  1, Batch    637, Loss  0.782960, Average Loss  0.803012, Time  0.518197
2021-09-22 20:58:41.370344 : Epoch  1, Batch    675, Loss  0.786517, Average Loss  0.792308, Time  0.506522
2021-09-22 20:58:43.499085 : Epoch  1, Batch    638, Loss  0.787158, Average Loss  0.802930, Time  0.519429
2021-09-22 20:58:43.526830 : Epoch  1, Batch    676, Loss  0.792136, Average Loss  0.792243, Time  0.506652
2021-09-22 20:58:44.876038 : Epoch  2, Batch    489, Loss  0.865922, Average Loss  0.874824, Time  0.415132
2021-09-22 20:58:45.657063 : Epoch  1, Batch    639, Loss  0.791922, Average Loss  0.802791, Time  0.518543
2021-09-22 20:58:45.657193 : Epoch  1, Batch    677, Loss  0.775712, Average Loss  0.792100, Time  0.500461
2021-09-22 20:58:47.826354 : Epoch  1, Batch    678, Loss  0.783989, Average Loss  0.792021, Time  0.506536
2021-09-22 20:58:47.859122 : Epoch  1, Batch    640, Loss  0.794298, Average Loss  0.802695, Time  0.486373
2021-09-22 20:58:49.870988 : Epoch  2, Batch    490, Loss  0.886053, Average Loss  0.874811, Time  0.414273
2021-09-22 20:58:49.943647 : Epoch  1, Batch    679, Loss  0.789434, Average Loss  0.791977, Time  0.495068
2021-09-22 20:58:49.973163 : Epoch  1, Batch    641, Loss  0.788018, Average Loss  0.802574, Time  0.469367
2021-09-22 20:58:52.055810 : Epoch  1, Batch    680, Loss  0.785297, Average Loss  0.791905, Time  0.500490
2021-09-22 20:58:52.086417 : Epoch  1, Batch    642, Loss  0.796635, Average Loss  0.802500, Time  0.461415
2021-09-22 20:58:54.171409 : Epoch  1, Batch    681, Loss  0.771418, Average Loss  0.791776, Time  0.493039
2021-09-22 20:58:54.203412 : Epoch  1, Batch    643, Loss  0.798009, Average Loss  0.802516, Time  0.466083
2021-09-22 20:58:54.898836 : Epoch  2, Batch    491, Loss  0.873239, Average Loss  0.874785, Time  0.414464
2021-09-22 20:58:56.288990 : Epoch  1, Batch    682, Loss  0.771294, Average Loss  0.791614, Time  0.497224
2021-09-22 20:58:56.324477 : Epoch  1, Batch    644, Loss  0.780458, Average Loss  0.802388, Time  0.458641
2021-09-22 20:58:58.409513 : Epoch  1, Batch    683, Loss  0.780972, Average Loss  0.791535, Time  0.494914
2021-09-22 20:58:58.439007 : Epoch  1, Batch    645, Loss  0.791495, Average Loss  0.802346, Time  0.459114
2021-09-22 20:58:59.952036 : Epoch  2, Batch    492, Loss  0.869170, Average Loss  0.874673, Time  0.466757
2021-09-22 20:59:00.527216 : Epoch  1, Batch    684, Loss  0.777889, Average Loss  0.791393, Time  0.497546
2021-09-22 20:59:00.562262 : Epoch  1, Batch    646, Loss  0.788599, Average Loss  0.802240, Time  0.464298
2021-09-22 20:59:02.643905 : Epoch  1, Batch    685, Loss  0.799941, Average Loss  0.791367, Time  0.495713
2021-09-22 20:59:02.675279 : Epoch  1, Batch    647, Loss  0.791658, Average Loss  0.802172, Time  0.469056
2021-09-22 20:59:04.812928 : Epoch  1, Batch    686, Loss  0.788463, Average Loss  0.791349, Time  0.517346
2021-09-22 20:59:04.840788 : Epoch  1, Batch    648, Loss  0.795941, Average Loss  0.802094, Time  0.506353
2021-09-22 20:59:05.009438 : Epoch  2, Batch    493, Loss  0.875502, Average Loss  0.874625, Time  0.422703
2021-09-22 20:59:06.925642 : Epoch  1, Batch    687, Loss  0.776079, Average Loss  0.791210, Time  0.497406
2021-09-22 20:59:06.949362 : Epoch  1, Batch    649, Loss  0.798017, Average Loss  0.802073, Time  0.468744
2021-09-22 20:59:09.023844 : Epoch  1, Batch    688, Loss  0.783941, Average Loss  0.791099, Time  0.490747
2021-09-22 20:59:09.054481 : Epoch  1, Batch    650, Loss  0.795042, Average Loss  0.802078, Time  0.459764
2021-09-22 20:59:10.015842 : Epoch  2, Batch    494, Loss  0.873524, Average Loss  0.874563, Time  0.418659
2021-09-22 20:59:11.115819 : Epoch  1, Batch    689, Loss  0.777159, Average Loss  0.790916, Time  0.482358
2021-09-22 20:59:11.164247 : Epoch  1, Batch    651, Loss  0.792005, Average Loss  0.802025, Time  0.452797
2021-09-22 20:59:13.194619 : Epoch  1, Batch    690, Loss  0.781157, Average Loss  0.790804, Time  0.461895
2021-09-22 20:59:13.253377 : Epoch  1, Batch    652, Loss  0.788266, Average Loss  0.801914, Time  0.430744
2021-09-22 20:59:15.018062 : Epoch  2, Batch    495, Loss  0.874486, Average Loss  0.874548, Time  0.414481
2021-09-22 20:59:15.275169 : Epoch  1, Batch    691, Loss  0.782151, Average Loss  0.790725, Time  0.449555
2021-09-22 20:59:15.352067 : Epoch  1, Batch    653, Loss  0.786277, Average Loss  0.801825, Time  0.420923
2021-09-22 20:59:17.313924 : Epoch  1, Batch    692, Loss  0.789024, Average Loss  0.790648, Time  0.424654
2021-09-22 20:59:17.403746 : Epoch  1, Batch    654, Loss  0.793217, Average Loss  0.801752, Time  0.392139
2021-09-22 20:59:19.346895 : Epoch  1, Batch    693, Loss  0.769554, Average Loss  0.790474, Time  0.415166
2021-09-22 20:59:19.440791 : Epoch  1, Batch    655, Loss  0.803655, Average Loss  0.801746, Time  0.384720
2021-09-22 20:59:20.030875 : Epoch  2, Batch    496, Loss  0.894613, Average Loss  0.874611, Time  0.414433
2021-09-22 20:59:21.410307 : Epoch  1, Batch    694, Loss  0.777538, Average Loss  0.790397, Time  0.436686
2021-09-22 20:59:21.485459 : Epoch  1, Batch    656, Loss  0.797342, Average Loss  0.801670, Time  0.405920
2021-09-22 20:59:23.492466 : Epoch  1, Batch    695, Loss  0.788897, Average Loss  0.790368, Time  0.453838
2021-09-22 20:59:23.560244 : Epoch  1, Batch    657, Loss  0.782731, Average Loss  0.801536, Time  0.416228
2021-09-22 20:59:25.032744 : Epoch  2, Batch    497, Loss  0.869681, Average Loss  0.874599, Time  0.413588
2021-09-22 20:59:25.595507 : Epoch  1, Batch    696, Loss  0.781819, Average Loss  0.790254, Time  0.469996
2021-09-22 20:59:25.647464 : Epoch  1, Batch    658, Loss  0.794117, Average Loss  0.801515, Time  0.442899
2021-09-22 20:59:27.681233 : Epoch  1, Batch    697, Loss  0.784933, Average Loss  0.790179, Time  0.467574
2021-09-22 20:59:27.735933 : Epoch  1, Batch    659, Loss  0.783921, Average Loss  0.801425, Time  0.437050
2021-09-22 20:59:29.747928 : Epoch  1, Batch    698, Loss  0.791318, Average Loss  0.790135, Time  0.455738
2021-09-22 20:59:29.808741 : Epoch  1, Batch    660, Loss  0.787493, Average Loss  0.801344, Time  0.422704
2021-09-22 20:59:30.028887 : Epoch  2, Batch    498, Loss  0.863805, Average Loss  0.874619, Time  0.413901
2021-09-22 20:59:31.828576 : Epoch  1, Batch    699, Loss  0.777364, Average Loss  0.790016, Time  0.467284
2021-09-22 20:59:31.889010 : Epoch  1, Batch    661, Loss  0.783171, Average Loss  0.801219, Time  0.435241
2021-09-22 20:59:33.936888 : Epoch  1, Batch    700, Loss  0.784348, Average Loss  0.789929, Time  0.467637
2021-09-22 20:59:33.985435 : Epoch  1, Batch    662, Loss  0.782406, Average Loss  0.801080, Time  0.442698
2021-09-22 20:59:35.017217 : Epoch  2, Batch    499, Loss  0.866178, Average Loss  0.874517, Time  0.413800
2021-09-22 20:59:35.908151 : Epoch  1, Batch    663, Loss  0.790986, Average Loss  0.800963, Time  0.256978
2021-09-22 20:59:37.926913 : Epoch  1, Batch    664, Loss  0.788994, Average Loss  0.800912, Time  0.330146
2021-09-22 20:59:39.835799 : Epoch  1, Batch    665, Loss  0.790838, Average Loss  0.800845, Time  0.254464
2021-09-22 20:59:40.034027 : Epoch  2, Batch    500, Loss  0.857350, Average Loss  0.874463, Time  0.414486
2021-09-22 20:59:41.761155 : Epoch  1, Batch    666, Loss  0.794952, Average Loss  0.800792, Time  0.255141
2021-09-22 20:59:43.671372 : Epoch  1, Batch    667, Loss  0.793355, Average Loss  0.800737, Time  0.263260
2021-09-22 20:59:45.081789 : Epoch  2, Batch    501, Loss  0.868854, Average Loss  0.874520, Time  0.453537
2021-09-22 20:59:45.584659 : Epoch  1, Batch    668, Loss  0.795015, Average Loss  0.800703, Time  0.254854
2021-09-22 20:59:47.481410 : Epoch  1, Batch    669, Loss  0.790890, Average Loss  0.800636, Time  0.254775
2021-09-22 20:59:49.386432 : Epoch  1, Batch    670, Loss  0.794706, Average Loss  0.800558, Time  0.257516
2021-09-22 20:59:50.093884 : Epoch  2, Batch    502, Loss  0.879690, Average Loss  0.874614, Time  0.415382
2021-09-22 20:59:53.490866 : Epoch  1, Batch    671, Loss  0.786559, Average Loss  0.800436, Time  0.264184
2021-09-22 20:59:55.086893 : Epoch  2, Batch    503, Loss  0.862137, Average Loss  0.874525, Time  0.415557
2021-09-22 20:59:55.407237 : Epoch  1, Batch    672, Loss  0.790678, Average Loss  0.800331, Time  0.253964
2021-09-22 20:59:57.326411 : Epoch  1, Batch    673, Loss  0.787765, Average Loss  0.800270, Time  0.254765
2021-09-22 20:59:59.240324 : Epoch  1, Batch    674, Loss  0.788608, Average Loss  0.800153, Time  0.254266
2021-09-22 21:00:00.089756 : Epoch  2, Batch    504, Loss  0.893630, Average Loss  0.874593, Time  0.417516
2021-09-22 21:00:01.219333 : Epoch  1, Batch    675, Loss  0.799397, Average Loss  0.800117, Time  0.327049
2021-09-22 21:00:03.126110 : Epoch  1, Batch    676, Loss  0.798052, Average Loss  0.800050, Time  0.253793
2021-09-22 21:00:05.041097 : Epoch  1, Batch    677, Loss  0.788015, Average Loss  0.799977, Time  0.256521
2021-09-22 21:00:05.128863 : Epoch  2, Batch    505, Loss  0.860481, Average Loss  0.874594, Time  0.414815
2021-09-22 21:00:06.961256 : Epoch  1, Batch    678, Loss  0.801792, Average Loss  0.799941, Time  0.253692
2021-09-22 21:00:08.859864 : Epoch  1, Batch    679, Loss  0.785706, Average Loss  0.799864, Time  0.253418
2021-09-22 21:00:10.127821 : Epoch  2, Batch    506, Loss  0.880216, Average Loss  0.874614, Time  0.414510
2021-09-22 21:00:10.779501 : Epoch  1, Batch    680, Loss  0.794930, Average Loss  0.799821, Time  0.255152
2021-09-22 21:00:12.761958 : Epoch  1, Batch    681, Loss  0.784771, Average Loss  0.799705, Time  0.327930
2021-09-22 21:00:14.667188 : Epoch  1, Batch    682, Loss  0.794945, Average Loss  0.799678, Time  0.254233
2021-09-22 21:00:15.150666 : Epoch  2, Batch    507, Loss  0.871153, Average Loss  0.874612, Time  0.414940
2021-09-22 21:00:16.593318 : Epoch  1, Batch    683, Loss  0.788533, Average Loss  0.799567, Time  0.254653
2021-09-22 21:00:18.501940 : Epoch  1, Batch    684, Loss  0.779710, Average Loss  0.799401, Time  0.253056
2021-09-22 21:00:20.144610 : Epoch  2, Batch    508, Loss  0.860512, Average Loss  0.874517, Time  0.415026
2021-09-22 21:00:20.420655 : Epoch  1, Batch    685, Loss  0.792540, Average Loss  0.799342, Time  0.254808
2021-09-22 21:00:22.370667 : Epoch  1, Batch    686, Loss  0.794101, Average Loss  0.799320, Time  0.259959
2021-09-22 21:00:24.342430 : Epoch  1, Batch    687, Loss  0.779200, Average Loss  0.799189, Time  0.331655
2021-09-22 21:00:25.155865 : Epoch  2, Batch    509, Loss  0.877338, Average Loss  0.874506, Time  0.424398
2021-09-22 21:00:26.245013 : Epoch  1, Batch    688, Loss  0.779117, Average Loss  0.799021, Time  0.254467
2021-09-22 21:00:28.151793 : Epoch  1, Batch    689, Loss  0.785379, Average Loss  0.798931, Time  0.253795
2021-09-22 21:00:30.045794 : Epoch  1, Batch    690, Loss  0.792402, Average Loss  0.798871, Time  0.253638
2021-09-22 21:00:30.193696 : Epoch  2, Batch    510, Loss  0.867811, Average Loss  0.874506, Time  0.460849
2021-09-22 21:00:31.941181 : Epoch  1, Batch    691, Loss  0.787918, Average Loss  0.798816, Time  0.254329
2021-09-22 21:00:33.839824 : Epoch  1, Batch    692, Loss  0.792927, Average Loss  0.798731, Time  0.254485
2021-09-22 21:00:35.208783 : Epoch  2, Batch    511, Loss  0.890523, Average Loss  0.874671, Time  0.415452
2021-09-22 21:00:35.748066 : Epoch  1, Batch    693, Loss  0.781515, Average Loss  0.798545, Time  0.254573
2021-09-22 21:00:37.727163 : Epoch  1, Batch    694, Loss  0.788660, Average Loss  0.798436, Time  0.327545
2021-09-22 21:00:39.641984 : Epoch  1, Batch    695, Loss  0.795261, Average Loss  0.798408, Time  0.254981
2021-09-22 21:00:40.252008 : Epoch  2, Batch    512, Loss  0.877396, Average Loss  0.874660, Time  0.416068
2021-09-22 21:00:41.533082 : Epoch  1, Batch    696, Loss  0.790643, Average Loss  0.798368, Time  0.252766
2021-09-22 21:00:43.441074 : Epoch  1, Batch    697, Loss  0.788635, Average Loss  0.798238, Time  0.253416
2021-09-22 21:00:44.777660 : CheckPoint: Validation Loss  0.00032051, Best Loss  0.00032051
2021-09-22 21:00:44.817645 : Best Model Updated
2021-09-22 21:00:45.331957 : Epoch  2, Batch    513, Loss  0.872508, Average Loss  0.874629, Time  0.414828
2021-09-22 21:00:45.364206 : Epoch  1, Batch    698, Loss  0.805995, Average Loss  0.798216, Time  0.254381
2021-09-22 21:00:47.671900 : Epoch  1, Batch    701, Loss  0.782370, Average Loss  0.789825, Time  0.510946
2021-09-22 21:00:47.697815 : Epoch  1, Batch    699, Loss  0.799161, Average Loss  0.798227, Time  0.494270
2021-09-22 21:00:49.752911 : Epoch  1, Batch    702, Loss  0.791929, Average Loss  0.789782, Time  0.469120
2021-09-22 21:00:49.806401 : Epoch  1, Batch    700, Loss  0.777778, Average Loss  0.798050, Time  0.438124
2021-09-22 21:00:50.317737 : Epoch  2, Batch    514, Loss  0.873441, Average Loss  0.874571, Time  0.414814
2021-09-22 21:00:51.634775 : Epoch  1, Batch    703, Loss  0.778787, Average Loss  0.789689, Time  0.250983
2021-09-22 21:00:53.510317 : Epoch  1, Batch    704, Loss  0.786340, Average Loss  0.789637, Time  0.249765
2021-09-22 21:00:55.302965 : Epoch  2, Batch    515, Loss  0.875640, Average Loss  0.874550, Time  0.413457
2021-09-22 21:00:55.380146 : Epoch  1, Batch    705, Loss  0.777999, Average Loss  0.789493, Time  0.249297
2021-09-22 21:00:57.341571 : Epoch  1, Batch    706, Loss  0.788162, Average Loss  0.789449, Time  0.327176
2021-09-22 21:00:59.218054 : Epoch  1, Batch    707, Loss  0.780741, Average Loss  0.789364, Time  0.256152
2021-09-22 21:01:00.288778 : Epoch  2, Batch    516, Loss  0.876800, Average Loss  0.874594, Time  0.417412
2021-09-22 21:01:01.083155 : Epoch  1, Batch    708, Loss  0.790085, Average Loss  0.789388, Time  0.249670
2021-09-22 21:01:02.953779 : Epoch  1, Batch    709, Loss  0.787968, Average Loss  0.789325, Time  0.249054
2021-09-22 21:01:04.846010 : Epoch  1, Batch    710, Loss  0.787408, Average Loss  0.789242, Time  0.249616
2021-09-22 21:01:05.268119 : Epoch  2, Batch    517, Loss  0.862015, Average Loss  0.874577, Time  0.414818
2021-09-22 21:01:06.706858 : Epoch  1, Batch    711, Loss  0.781493, Average Loss  0.789120, Time  0.249952
2021-09-22 21:01:08.583780 : Epoch  1, Batch    712, Loss  0.790376, Average Loss  0.789082, Time  0.252055
2021-09-22 21:01:10.239236 : Epoch  2, Batch    518, Loss  0.874452, Average Loss  0.874636, Time  0.413740
2021-09-22 21:01:10.444426 : Epoch  1, Batch    713, Loss  0.776757, Average Loss  0.788974, Time  0.251634
2021-09-22 21:01:12.379247 : Epoch  1, Batch    714, Loss  0.778676, Average Loss  0.788840, Time  0.325918
2021-09-22 21:01:14.239666 : Epoch  1, Batch    715, Loss  0.787093, Average Loss  0.788773, Time  0.257236
2021-09-22 21:01:15.262765 : Epoch  2, Batch    519, Loss  0.878322, Average Loss  0.874597, Time  0.454642
2021-09-22 21:01:16.113650 : Epoch  1, Batch    716, Loss  0.791628, Average Loss  0.788748, Time  0.262645
2021-09-22 21:01:18.002064 : Epoch  1, Batch    717, Loss  0.781936, Average Loss  0.788648, Time  0.250708
2021-09-22 21:01:19.874730 : Epoch  1, Batch    718, Loss  0.786303, Average Loss  0.788571, Time  0.249850
2021-09-22 21:01:20.266107 : Epoch  2, Batch    520, Loss  0.877686, Average Loss  0.874589, Time  0.415200
2021-09-22 21:01:21.769223 : Epoch  1, Batch    719, Loss  0.788905, Average Loss  0.788472, Time  0.250006
2021-09-22 21:01:23.633322 : Epoch  1, Batch    720, Loss  0.781480, Average Loss  0.788423, Time  0.249493
2021-09-22 21:01:25.269782 : Epoch  2, Batch    521, Loss  0.861770, Average Loss  0.874507, Time  0.414790
2021-09-22 21:01:25.571498 : Epoch  1, Batch    721, Loss  0.778344, Average Loss  0.788328, Time  0.322914
2021-09-22 21:01:27.437367 : Epoch  1, Batch    722, Loss  0.784804, Average Loss  0.788295, Time  0.251407
2021-09-22 21:01:29.318714 : Epoch  1, Batch    723, Loss  0.779301, Average Loss  0.788241, Time  0.250181
2021-09-22 21:01:30.364073 : Epoch  2, Batch    522, Loss  0.878627, Average Loss  0.874520, Time  0.417812
2021-09-22 21:01:31.192784 : Epoch  1, Batch    724, Loss  0.783147, Average Loss  0.788164, Time  0.250564
2021-09-22 21:01:33.064417 : Epoch  1, Batch    725, Loss  0.778548, Average Loss  0.788088, Time  0.250585
2021-09-22 21:01:34.969447 : Epoch  1, Batch    726, Loss  0.772145, Average Loss  0.787956, Time  0.253427
2021-09-22 21:01:35.376354 : Epoch  2, Batch    523, Loss  0.874022, Average Loss  0.874548, Time  0.414957
2021-09-22 21:01:36.856416 : Epoch  1, Batch    727, Loss  0.779048, Average Loss  0.787801, Time  0.251783
2021-09-22 21:01:38.753399 : Epoch  1, Batch    728, Loss  0.775560, Average Loss  0.787679, Time  0.255342
2021-09-22 21:01:40.365172 : Epoch  2, Batch    524, Loss  0.873648, Average Loss  0.874542, Time  0.414357
2021-09-22 21:01:40.749872 : Epoch  1, Batch    729, Loss  0.785435, Average Loss  0.787640, Time  0.326865
2021-09-22 21:01:42.629137 : Epoch  1, Batch    730, Loss  0.783440, Average Loss  0.787551, Time  0.251114
2021-09-22 21:01:44.511856 : Epoch  1, Batch    731, Loss  0.775309, Average Loss  0.787452, Time  0.250827
2021-09-22 21:01:45.371838 : Epoch  2, Batch    525, Loss  0.880392, Average Loss  0.874453, Time  0.415194
2021-09-22 21:01:46.390847 : Epoch  1, Batch    732, Loss  0.791794, Average Loss  0.787462, Time  0.251157
2021-09-22 21:01:48.279949 : Epoch  1, Batch    733, Loss  0.786485, Average Loss  0.787426, Time  0.258902
2021-09-22 21:01:50.134456 : Epoch  1, Batch    734, Loss  0.782643, Average Loss  0.787384, Time  0.250538
2021-09-22 21:01:50.407842 : Epoch  2, Batch    526, Loss  0.866717, Average Loss  0.874368, Time  0.415827
2021-09-22 21:01:52.027401 : Epoch  1, Batch    735, Loss  0.785443, Average Loss  0.787317, Time  0.252734
2021-09-22 21:01:54.000679 : Epoch  1, Batch    736, Loss  0.785169, Average Loss  0.787280, Time  0.327641
2021-09-22 21:01:55.432070 : Epoch  2, Batch    527, Loss  0.876068, Average Loss  0.874405, Time  0.415181
2021-09-22 21:01:55.868103 : Epoch  1, Batch    737, Loss  0.777210, Average Loss  0.787171, Time  0.251778
2021-09-22 21:01:57.741537 : Epoch  1, Batch    738, Loss  0.776849, Average Loss  0.787075, Time  0.251320
2021-09-22 21:01:59.595199 : Epoch  1, Batch    739, Loss  0.785905, Average Loss  0.787007, Time  0.251578
2021-09-22 21:02:00.502973 : Epoch  2, Batch    528, Loss  0.874351, Average Loss  0.874358, Time  0.452739
2021-09-22 21:02:01.193003 : CheckPoint: Validation Loss  0.00033564, Best Loss  0.00033172
2021-09-22 21:02:01.482294 : Epoch  1, Batch    740, Loss  0.774944, Average Loss  0.786930, Time  0.250531
2021-09-22 21:02:03.107999 : Epoch  1, Batch    701, Loss  0.790772, Average Loss  0.798000, Time  0.254058
2021-09-22 21:02:03.372758 : Epoch  1, Batch    741, Loss  0.780396, Average Loss  0.786876, Time  0.250689
2021-09-22 21:02:05.023440 : Epoch  1, Batch    702, Loss  0.783148, Average Loss  0.797903, Time  0.254969
2021-09-22 21:02:05.256720 : Epoch  1, Batch    742, Loss  0.780754, Average Loss  0.786793, Time  0.262052
2021-09-22 21:02:05.521805 : Epoch  2, Batch    529, Loss  0.889890, Average Loss  0.874454, Time  0.423948
2021-09-22 21:02:06.957692 : Epoch  1, Batch    703, Loss  0.786299, Average Loss  0.797797, Time  0.279053
2021-09-22 21:02:07.156935 : Epoch  1, Batch    743, Loss  0.788006, Average Loss  0.786733, Time  0.271328
2021-09-22 21:02:08.980815 : Epoch  1, Batch    704, Loss  0.797535, Average Loss  0.797742, Time  0.369430
2021-09-22 21:02:09.114390 : Epoch  1, Batch    744, Loss  0.799797, Average Loss  0.786780, Time  0.339620
2021-09-22 21:02:10.559938 : Epoch  2, Batch    530, Loss  0.873918, Average Loss  0.874409, Time  0.419559
2021-09-22 21:02:11.120768 : Epoch  1, Batch    705, Loss  0.786832, Average Loss  0.797667, Time  0.478946
2021-09-22 21:02:11.169200 : Epoch  1, Batch    745, Loss  0.766808, Average Loss  0.786651, Time  0.444723
2021-09-22 21:02:13.293359 : Epoch  1, Batch    706, Loss  0.785354, Average Loss  0.797560, Time  0.521061
2021-09-22 21:02:13.330063 : Epoch  1, Batch    746, Loss  0.768994, Average Loss  0.786507, Time  0.515334
2021-09-22 21:02:15.454720 : Epoch  1, Batch    747, Loss  0.789184, Average Loss  0.786482, Time  0.510491
2021-09-22 21:02:15.482568 : Epoch  1, Batch    707, Loss  0.784921, Average Loss  0.797445, Time  0.493956
2021-09-22 21:02:15.574188 : Epoch  2, Batch    531, Loss  0.863604, Average Loss  0.874328, Time  0.415535
2021-09-22 21:02:17.580868 : Epoch  1, Batch    748, Loss  0.791198, Average Loss  0.786527, Time  0.498726
2021-09-22 21:02:17.608385 : Epoch  1, Batch    708, Loss  0.777920, Average Loss  0.797295, Time  0.465783
2021-09-22 21:02:19.714896 : Epoch  1, Batch    749, Loss  0.792198, Average Loss  0.786516, Time  0.511906
2021-09-22 21:02:19.754227 : Epoch  1, Batch    709, Loss  0.789548, Average Loss  0.797187, Time  0.476741
2021-09-22 21:02:20.586189 : Epoch  2, Batch    532, Loss  0.866027, Average Loss  0.874216, Time  0.414865
2021-09-22 21:02:21.847830 : Epoch  1, Batch    750, Loss  0.788739, Average Loss  0.786504, Time  0.503715
2021-09-22 21:02:21.879736 : Epoch  1, Batch    710, Loss  0.788303, Average Loss  0.797129, Time  0.484617
2021-09-22 21:02:23.959443 : Epoch  1, Batch    751, Loss  0.777733, Average Loss  0.786444, Time  0.485549
2021-09-22 21:02:23.995787 : Epoch  1, Batch    711, Loss  0.793225, Average Loss  0.797070, Time  0.455294
2021-09-22 21:02:25.612900 : Epoch  2, Batch    533, Loss  0.872016, Average Loss  0.874224, Time  0.417932
2021-09-22 21:02:26.072599 : Epoch  1, Batch    752, Loss  0.790936, Average Loss  0.786384, Time  0.497294
2021-09-22 21:02:26.099165 : Epoch  1, Batch    712, Loss  0.783471, Average Loss  0.796992, Time  0.455925
2021-09-22 21:02:28.177909 : Epoch  1, Batch    753, Loss  0.801383, Average Loss  0.786422, Time  0.485409
2021-09-22 21:02:28.227119 : Epoch  1, Batch    713, Loss  0.790172, Average Loss  0.796939, Time  0.442218
2021-09-22 21:02:30.263799 : Epoch  1, Batch    754, Loss  0.775818, Average Loss  0.786355, Time  0.463414
2021-09-22 21:02:30.337491 : Epoch  1, Batch    714, Loss  0.780556, Average Loss  0.796822, Time  0.432336
2021-09-22 21:02:30.638357 : Epoch  2, Batch    534, Loss  0.877923, Average Loss  0.874256, Time  0.415229
2021-09-22 21:02:32.338573 : Epoch  1, Batch    755, Loss  0.773666, Average Loss  0.786254, Time  0.441200
2021-09-22 21:02:32.410673 : Epoch  1, Batch    715, Loss  0.784680, Average Loss  0.796700, Time  0.411250
2021-09-22 21:02:34.416386 : Epoch  1, Batch    756, Loss  0.771773, Average Loss  0.786145, Time  0.449555
2021-09-22 21:02:34.496134 : Epoch  1, Batch    716, Loss  0.769746, Average Loss  0.796496, Time  0.430391
2021-09-22 21:02:35.657916 : Epoch  2, Batch    535, Loss  0.865364, Average Loss  0.874279, Time  0.417023
2021-09-22 21:02:36.517887 : Epoch  1, Batch    757, Loss  0.780459, Average Loss  0.786110, Time  0.444921
2021-09-22 21:02:36.586324 : Epoch  1, Batch    717, Loss  0.784057, Average Loss  0.796366, Time  0.415148
2021-09-22 21:02:38.607081 : Epoch  1, Batch    758, Loss  0.789205, Average Loss  0.786075, Time  0.442006
2021-09-22 21:02:38.681532 : Epoch  1, Batch    718, Loss  0.788054, Average Loss  0.796278, Time  0.411149
2021-09-22 21:02:40.705653 : Epoch  1, Batch    759, Loss  0.782416, Average Loss  0.785980, Time  0.452882
2021-09-22 21:02:40.706958 : Epoch  2, Batch    536, Loss  0.867726, Average Loss  0.874189, Time  0.418242
2021-09-22 21:02:40.773161 : Epoch  1, Batch    719, Loss  0.787376, Average Loss  0.796197, Time  0.422047
2021-09-22 21:02:42.734009 : Epoch  1, Batch    760, Loss  0.772843, Average Loss  0.785965, Time  0.423029
2021-09-22 21:02:42.821798 : Epoch  1, Batch    720, Loss  0.777249, Average Loss  0.796055, Time  0.392817
2021-09-22 21:02:44.803995 : Epoch  1, Batch    761, Loss  0.789991, Average Loss  0.785926, Time  0.440999
2021-09-22 21:02:44.885604 : Epoch  1, Batch    721, Loss  0.790147, Average Loss  0.795995, Time  0.418214
2021-09-22 21:02:45.772170 : Epoch  2, Batch    537, Loss  0.872730, Average Loss  0.874213, Time  0.462948
2021-09-22 21:02:46.876932 : Epoch  1, Batch    762, Loss  0.770310, Average Loss  0.785783, Time  0.435818
2021-09-22 21:02:46.953146 : Epoch  1, Batch    722, Loss  0.780249, Average Loss  0.795856, Time  0.402946
2021-09-22 21:02:48.927735 : Epoch  1, Batch    763, Loss  0.779370, Average Loss  0.785703, Time  0.419223
2021-09-22 21:02:49.016769 : Epoch  1, Batch    723, Loss  0.786278, Average Loss  0.795745, Time  0.388529
2021-09-22 21:02:50.809493 : Epoch  2, Batch    538, Loss  0.884001, Average Loss  0.874269, Time  0.439291
2021-09-22 21:02:50.967674 : Epoch  1, Batch    764, Loss  0.779276, Average Loss  0.785623, Time  0.408847
2021-09-22 21:02:51.063610 : Epoch  1, Batch    724, Loss  0.782045, Average Loss  0.795636, Time  0.377725
2021-09-22 21:02:53.035906 : Epoch  1, Batch    765, Loss  0.780973, Average Loss  0.785533, Time  0.431731
2021-09-22 21:02:53.114989 : Epoch  1, Batch    725, Loss  0.782818, Average Loss  0.795561, Time  0.400411
2021-09-22 21:02:55.131891 : Epoch  1, Batch    766, Loss  0.790922, Average Loss  0.785523, Time  0.444869
2021-09-22 21:02:55.195665 : Epoch  1, Batch    726, Loss  0.794065, Average Loss  0.795541, Time  0.414718
2021-09-22 21:02:55.812058 : Epoch  2, Batch    539, Loss  0.873296, Average Loss  0.874235, Time  0.415920
2021-09-22 21:02:57.189138 : Epoch  1, Batch    767, Loss  0.790192, Average Loss  0.785512, Time  0.438245
2021-09-22 21:02:57.266405 : Epoch  1, Batch    727, Loss  0.781017, Average Loss  0.795424, Time  0.408983
2021-09-22 21:02:59.231568 : Epoch  1, Batch    768, Loss  0.783310, Average Loss  0.785508, Time  0.417758
2021-09-22 21:02:59.322397 : Epoch  1, Batch    728, Loss  0.783462, Average Loss  0.795340, Time  0.389093
2021-09-22 21:03:00.837471 : Epoch  2, Batch    540, Loss  0.864821, Average Loss  0.874218, Time  0.417809
2021-09-22 21:03:01.300279 : Epoch  1, Batch    769, Loss  0.788496, Average Loss  0.785499, Time  0.430685
2021-09-22 21:03:01.384099 : Epoch  1, Batch    729, Loss  0.790488, Average Loss  0.795274, Time  0.397147
2021-09-22 21:03:03.353139 : Epoch  1, Batch    770, Loss  0.773268, Average Loss  0.785422, Time  0.427024
2021-09-22 21:03:03.434217 : Epoch  1, Batch    730, Loss  0.790617, Average Loss  0.795185, Time  0.395136
2021-09-22 21:03:05.347372 : Epoch  1, Batch    731, Loss  0.780731, Average Loss  0.795042, Time  0.255111
2021-09-22 21:03:05.972119 : Epoch  2, Batch    541, Loss  0.873133, Average Loss  0.874189, Time  0.416887
2021-09-22 21:03:07.252351 : Epoch  1, Batch    732, Loss  0.782220, Average Loss  0.794950, Time  0.256549
2021-09-22 21:03:07.611044 : Epoch  1, Batch    771, Loss  0.773457, Average Loss  0.785350, Time  0.250431
2021-09-22 21:03:09.150833 : Epoch  1, Batch    733, Loss  0.784091, Average Loss  0.794846, Time  0.252881
2021-09-22 21:03:09.494881 : Epoch  1, Batch    772, Loss  0.794988, Average Loss  0.785381, Time  0.250937
2021-09-22 21:03:10.992945 : Epoch  2, Batch    542, Loss  0.875593, Average Loss  0.874112, Time  0.415296
2021-09-22 21:03:11.058440 : Epoch  1, Batch    734, Loss  0.790079, Average Loss  0.794795, Time  0.253394
2021-09-22 21:03:11.377202 : Epoch  1, Batch    773, Loss  0.789789, Average Loss  0.785376, Time  0.250582
2021-09-22 21:03:12.972094 : Epoch  1, Batch    735, Loss  0.788079, Average Loss  0.794677, Time  0.255351
2021-09-22 21:03:13.262405 : Epoch  1, Batch    774, Loss  0.776710, Average Loss  0.785304, Time  0.252716
2021-09-22 21:03:14.876404 : Epoch  1, Batch    736, Loss  0.782456, Average Loss  0.794537, Time  0.264024
2021-09-22 21:03:15.147393 : Epoch  1, Batch    775, Loss  0.785170, Average Loss  0.785257, Time  0.252758
2021-09-22 21:03:16.041082 : Epoch  2, Batch    543, Loss  0.877905, Average Loss  0.874079, Time  0.418221
2021-09-22 21:03:16.796439 : Epoch  1, Batch    737, Loss  0.781094, Average Loss  0.794469, Time  0.253781
2021-09-22 21:03:17.029969 : Epoch  1, Batch    776, Loss  0.788725, Average Loss  0.785237, Time  0.258611
2021-09-22 21:03:18.752399 : Epoch  1, Batch    738, Loss  0.795245, Average Loss  0.794465, Time  0.307508
2021-09-22 21:03:18.941746 : Epoch  1, Batch    777, Loss  0.781993, Average Loss  0.785227, Time  0.295117
2021-09-22 21:03:20.808463 : Epoch  1, Batch    739, Loss  0.780742, Average Loss  0.794334, Time  0.396006
2021-09-22 21:03:20.908925 : Epoch  1, Batch    778, Loss  0.779661, Average Loss  0.785147, Time  0.353790
2021-09-22 21:03:21.052378 : Epoch  2, Batch    544, Loss  0.863886, Average Loss  0.874075, Time  0.415402
2021-09-22 21:03:22.919346 : Epoch  1, Batch    740, Loss  0.782641, Average Loss  0.794158, Time  0.475638
2021-09-22 21:03:22.966905 : Epoch  1, Batch    779, Loss  0.781235, Average Loss  0.785079, Time  0.439502
2021-09-22 21:03:25.072921 : Epoch  1, Batch    741, Loss  0.782980, Average Loss  0.794081, Time  0.510329
2021-09-22 21:03:25.104607 : Epoch  1, Batch    780, Loss  0.781809, Average Loss  0.785022, Time  0.482552
2021-09-22 21:03:26.079088 : Epoch  2, Batch    545, Loss  0.873200, Average Loss  0.874084, Time  0.414876
2021-09-22 21:03:27.245566 : Epoch  1, Batch    742, Loss  0.795173, Average Loss  0.794033, Time  0.518542
2021-09-22 21:03:27.278240 : Epoch  1, Batch    781, Loss  0.770899, Average Loss  0.784882, Time  0.513295
2021-09-22 21:03:29.421668 : Epoch  1, Batch    743, Loss  0.782148, Average Loss  0.793897, Time  0.519689
2021-09-22 21:03:29.421796 : Epoch  1, Batch    782, Loss  0.778664, Average Loss  0.784840, Time  0.510388
2021-09-22 21:03:31.161658 : Epoch  2, Batch    546, Loss  0.877117, Average Loss  0.874096, Time  0.455909
2021-09-22 21:03:31.621397 : Epoch  1, Batch    783, Loss  0.773969, Average Loss  0.784716, Time  0.517333
2021-09-22 21:03:31.641852 : Epoch  1, Batch    744, Loss  0.785797, Average Loss  0.793779, Time  0.513623
2021-09-22 21:03:33.732581 : Epoch  1, Batch    784, Loss  0.773516, Average Loss  0.784641, Time  0.487766
2021-09-22 21:03:33.776935 : Epoch  1, Batch    745, Loss  0.784924, Average Loss  0.793716, Time  0.454347
2021-09-22 21:03:35.854426 : Epoch  1, Batch    785, Loss  0.782161, Average Loss  0.784609, Time  0.498092
2021-09-22 21:03:35.896756 : Epoch  1, Batch    746, Loss  0.794915, Average Loss  0.793688, Time  0.447760
2021-09-22 21:03:36.199337 : Epoch  2, Batch    547, Loss  0.881766, Average Loss  0.874086, Time  0.415137
2021-09-22 21:03:37.974728 : Epoch  1, Batch    786, Loss  0.782124, Average Loss  0.784534, Time  0.494321
2021-09-22 21:03:38.009183 : Epoch  1, Batch    747, Loss  0.787019, Average Loss  0.793636, Time  0.459416
2021-09-22 21:03:40.082925 : Epoch  1, Batch    787, Loss  0.786737, Average Loss  0.784497, Time  0.479743
2021-09-22 21:03:40.131127 : Saving Model after 1-th Epoch.
2021-09-22 21:03:40.162935 : Epoch  1, Batch    748, Loss  0.781571, Average Loss  0.793529, Time  0.456528
2021-09-22 21:03:41.032530 : Epoch Finished.
2021-09-22 21:03:41.214936 : Epoch  2, Batch    548, Loss  0.872374, Average Loss  0.874047, Time  0.415462
2021-09-22 21:03:42.114152 : Epoch  1, Batch    749, Loss  0.790736, Average Loss  0.793489, Time  0.258951
2021-09-22 21:03:43.400826 : Batch Shuffled
2021-09-22 21:03:44.038938 : Epoch  1, Batch    750, Loss  0.787689, Average Loss  0.793408, Time  0.254714
2021-09-22 21:03:45.264632 : Epoch  2, Batch      1, Loss  0.779217, Average Loss  0.784454, Time  0.253488
2021-09-22 21:03:45.958411 : Epoch  1, Batch    751, Loss  0.784584, Average Loss  0.793343, Time  0.254769
2021-09-22 21:03:46.244865 : Epoch  2, Batch    549, Loss  0.878191, Average Loss  0.874042, Time  0.415418
2021-09-22 21:03:47.127646 : Epoch  2, Batch      2, Loss  0.790285, Average Loss  0.784487, Time  0.252318
2021-09-22 21:03:47.897431 : Epoch  1, Batch    752, Loss  0.769338, Average Loss  0.793217, Time  0.254074
2021-09-22 21:03:48.985463 : Epoch  2, Batch      3, Loss  0.787039, Average Loss  0.784399, Time  0.250047
2021-09-22 21:03:49.853344 : Epoch  1, Batch    753, Loss  0.794498, Average Loss  0.793174, Time  0.253675
2021-09-22 21:03:50.861795 : Epoch  2, Batch      4, Loss  0.772926, Average Loss  0.784303, Time  0.256930
2021-09-22 21:03:51.281132 : Epoch  2, Batch    550, Loss  0.854547, Average Loss  0.873982, Time  0.415729
2021-09-22 21:03:51.749255 : Epoch  1, Batch    754, Loss  0.782890, Average Loss  0.793001, Time  0.253517
2021-09-22 21:03:52.723748 : Epoch  2, Batch      5, Loss  0.782382, Average Loss  0.784232, Time  0.250618
2021-09-22 21:03:53.666251 : Epoch  1, Batch    755, Loss  0.776687, Average Loss  0.792843, Time  0.253946
2021-09-22 21:03:54.590733 : Epoch  2, Batch      6, Loss  0.780003, Average Loss  0.784186, Time  0.250250
2021-09-22 21:03:55.583029 : Epoch  1, Batch    756, Loss  0.781701, Average Loss  0.792749, Time  0.259824
2021-09-22 21:03:56.315856 : Epoch  2, Batch    551, Loss  0.887193, Average Loss  0.874045, Time  0.415494
2021-09-22 21:03:56.484404 : Epoch  2, Batch      7, Loss  0.775155, Average Loss  0.784068, Time  0.251993
2021-09-22 21:03:57.499311 : Epoch  1, Batch    757, Loss  0.773573, Average Loss  0.792564, Time  0.253931
2021-09-22 21:03:58.368814 : Epoch  2, Batch      8, Loss  0.781123, Average Loss  0.784005, Time  0.258852
2021-09-22 21:03:59.421859 : Epoch  1, Batch    758, Loss  0.792445, Average Loss  0.792513, Time  0.254189
2021-09-22 21:04:00.234991 : Epoch  2, Batch      9, Loss  0.788744, Average Loss  0.784022, Time  0.250119
2021-09-22 21:04:01.323219 : Epoch  1, Batch    759, Loss  0.781342, Average Loss  0.792403, Time  0.253663
2021-09-22 21:04:01.397418 : Epoch  2, Batch    552, Loss  0.881010, Average Loss  0.874032, Time  0.415794
2021-09-22 21:04:02.129780 : Epoch  2, Batch     10, Loss  0.786264, Average Loss  0.784004, Time  0.253710
2021-09-22 21:04:03.224889 : Epoch  1, Batch    760, Loss  0.777281, Average Loss  0.792277, Time  0.254047
2021-09-22 21:04:04.057063 : Epoch  2, Batch     11, Loss  0.786250, Average Loss  0.783969, Time  0.251703
2021-09-22 21:04:05.135187 : Epoch  1, Batch    761, Loss  0.790185, Average Loss  0.792205, Time  0.256470
2021-09-22 21:04:05.929784 : Epoch  2, Batch     12, Loss  0.787944, Average Loss  0.783973, Time  0.251452
2021-09-22 21:04:06.412208 : Epoch  2, Batch    553, Loss  0.866258, Average Loss  0.873977, Time  0.415174
2021-09-22 21:04:07.041263 : Epoch  1, Batch    762, Loss  0.777436, Average Loss  0.792065, Time  0.254368
2021-09-22 21:04:07.802990 : Epoch  2, Batch     13, Loss  0.786339, Average Loss  0.783887, Time  0.254626
2021-09-22 21:04:08.946834 : Epoch  1, Batch    763, Loss  0.779084, Average Loss  0.791920, Time  0.255593
2021-09-22 21:04:10.860948 : Epoch  1, Batch    764, Loss  0.782974, Average Loss  0.791895, Time  0.257980
2021-09-22 21:04:11.443883 : Epoch  2, Batch    554, Loss  0.862142, Average Loss  0.873868, Time  0.422905
2021-09-22 21:04:12.762950 : Epoch  1, Batch    765, Loss  0.786884, Average Loss  0.791812, Time  0.253692
2021-09-22 21:04:14.667388 : Epoch  1, Batch    766, Loss  0.794819, Average Loss  0.791782, Time  0.254446
2021-09-22 21:04:16.497009 : Epoch  2, Batch    555, Loss  0.870630, Average Loss  0.873850, Time  0.457513
2021-09-22 21:04:16.565741 : Epoch  1, Batch    767, Loss  0.789363, Average Loss  0.791762, Time  0.253774
2021-09-22 21:04:18.556086 : Epoch  1, Batch    768, Loss  0.782713, Average Loss  0.791607, Time  0.326661
2021-09-22 21:04:20.457741 : Epoch  1, Batch    769, Loss  0.782501, Average Loss  0.791537, Time  0.253936
2021-09-22 21:04:21.491774 : Epoch  2, Batch    556, Loss  0.869403, Average Loss  0.873844, Time  0.414287
2021-09-22 21:04:22.366724 : Epoch  1, Batch    770, Loss  0.796162, Average Loss  0.791536, Time  0.255022
2021-09-22 21:04:26.461861 : Epoch  2, Batch    557, Loss  0.864491, Average Loss  0.873829, Time  0.413474
2021-09-22 21:04:26.537493 : Epoch  1, Batch    771, Loss  0.788441, Average Loss  0.791472, Time  0.263711
2021-09-22 21:04:28.516297 : Epoch  1, Batch    772, Loss  0.783858, Average Loss  0.791337, Time  0.329082
2021-09-22 21:04:30.418242 : Epoch  1, Batch    773, Loss  0.782191, Average Loss  0.791253, Time  0.255402
2021-09-22 21:04:31.501054 : Epoch  2, Batch    558, Loss  0.866429, Average Loss  0.873806, Time  0.415223
2021-09-22 21:04:32.312870 : Epoch  1, Batch    774, Loss  0.779292, Average Loss  0.791181, Time  0.256030
2021-09-22 21:04:34.228060 : Epoch  1, Batch    775, Loss  0.768586, Average Loss  0.791019, Time  0.254582
2021-09-22 21:04:36.112809 : Epoch  1, Batch    776, Loss  0.778429, Average Loss  0.790811, Time  0.256677
2021-09-22 21:04:36.521906 : Epoch  2, Batch    559, Loss  0.885128, Average Loss  0.873861, Time  0.415556
2021-09-22 21:04:37.999958 : Epoch  1, Batch    777, Loss  0.785711, Average Loss  0.790769, Time  0.255449
2021-09-22 21:04:39.984926 : Epoch  1, Batch    778, Loss  0.777000, Average Loss  0.790674, Time  0.340709
2021-09-22 21:04:41.502805 : Epoch  2, Batch    560, Loss  0.870296, Average Loss  0.873824, Time  0.413976
2021-09-22 21:04:41.886401 : Epoch  1, Batch    779, Loss  0.801243, Average Loss  0.790675, Time  0.253912
2021-09-22 21:04:43.855174 : Epoch  1, Batch    780, Loss  0.779173, Average Loss  0.790576, Time  0.255289
2021-09-22 21:04:45.786319 : Epoch  1, Batch    781, Loss  0.788781, Average Loss  0.790539, Time  0.254051
2021-09-22 21:04:46.582842 : Epoch  2, Batch    561, Loss  0.876372, Average Loss  0.873834, Time  0.414161
2021-09-22 21:04:47.681482 : Epoch  1, Batch    782, Loss  0.784395, Average Loss  0.790676, Time  0.254427
2021-09-22 21:04:49.748980 : Epoch  1, Batch    783, Loss  0.773906, Average Loss  0.790550, Time  0.341825
2021-09-22 21:04:51.582984 : Epoch  2, Batch    562, Loss  0.878739, Average Loss  0.873897, Time  0.415161
2021-09-22 21:04:51.661360 : Epoch  1, Batch    784, Loss  0.784679, Average Loss  0.790465, Time  0.257302
2021-09-22 21:04:53.563392 : Epoch  1, Batch    785, Loss  0.770509, Average Loss  0.790313, Time  0.254956
2021-09-22 21:04:55.469866 : Epoch  1, Batch    786, Loss  0.784441, Average Loss  0.790192, Time  0.258112
2021-09-22 21:04:56.607959 : Epoch  2, Batch    563, Loss  0.886558, Average Loss  0.873900, Time  0.414786
2021-09-22 21:04:57.386017 : Epoch  1, Batch    787, Loss  0.773455, Average Loss  0.790044, Time  0.255350
2021-09-22 21:04:57.411407 : Saving Model after 1-th Epoch.
2021-09-22 21:04:58.251718 : Epoch Finished.
2021-09-22 21:05:00.661081 : Batch Shuffled
2021-09-22 21:05:01.643940 : Epoch  2, Batch    564, Loss  0.871671, Average Loss  0.873861, Time  0.459517
2021-09-22 21:05:02.586744 : Epoch  2, Batch      1, Loss  0.790958, Average Loss  0.789928, Time  0.254982
2021-09-22 21:05:04.538573 : Epoch  2, Batch      2, Loss  0.780734, Average Loss  0.789838, Time  0.295711
2021-09-22 21:05:06.466422 : Epoch  2, Batch      3, Loss  0.772523, Average Loss  0.789641, Time  0.258538
2021-09-22 21:05:06.630678 : Epoch  2, Batch    565, Loss  0.861689, Average Loss  0.873791, Time  0.415580
2021-09-22 21:05:08.397347 : Epoch  2, Batch      4, Loss  0.781779, Average Loss  0.789528, Time  0.255354
2021-09-22 21:05:10.314228 : Epoch  2, Batch      5, Loss  0.784068, Average Loss  0.789423, Time  0.254777
2021-09-22 21:05:11.601173 : Epoch  2, Batch    566, Loss  0.873463, Average Loss  0.873814, Time  0.415578
2021-09-22 21:05:12.225886 : Epoch  2, Batch      6, Loss  0.770431, Average Loss  0.789229, Time  0.253050
2021-09-22 21:05:14.155279 : Epoch  2, Batch      7, Loss  0.780360, Average Loss  0.789119, Time  0.254035
2021-09-22 21:05:16.158856 : Epoch  2, Batch      8, Loss  0.783844, Average Loss  0.789005, Time  0.328243
2021-09-22 21:05:16.601942 : Epoch  2, Batch    567, Loss  0.868353, Average Loss  0.873794, Time  0.414835
2021-09-22 21:05:18.072098 : Epoch  2, Batch      9, Loss  0.788189, Average Loss  0.788876, Time  0.254787
2021-09-22 21:05:18.260602 : CheckPoint: Validation Loss  0.00032493, Best Loss  0.00032051
2021-09-22 21:05:20.142296 : Epoch  2, Batch     10, Loss  0.775560, Average Loss  0.788756, Time  0.399540
2021-09-22 21:05:20.246761 : Epoch  2, Batch     14, Loss  0.782035, Average Loss  0.783852, Time  0.364078
2021-09-22 21:05:21.598017 : Epoch  2, Batch    568, Loss  0.869476, Average Loss  0.873776, Time  0.415086
2021-09-22 21:05:22.330423 : Epoch  2, Batch     11, Loss  0.792723, Average Loss  0.788765, Time  0.510839
2021-09-22 21:05:22.356064 : Epoch  2, Batch     15, Loss  0.781110, Average Loss  0.783827, Time  0.493950
2021-09-22 21:05:24.501035 : Epoch  2, Batch     16, Loss  0.783254, Average Loss  0.783819, Time  0.518200
2021-09-22 21:05:24.501425 : Epoch  2, Batch     12, Loss  0.788536, Average Loss  0.788689, Time  0.519741
2021-09-22 21:05:26.579034 : Epoch  2, Batch    569, Loss  0.884066, Average Loss  0.873808, Time  0.414770
2021-09-22 21:05:26.589865 : Epoch  2, Batch     17, Loss  0.788176, Average Loss  0.783752, Time  0.473366
2021-09-22 21:05:26.635447 : Epoch  2, Batch     13, Loss  0.786971, Average Loss  0.788618, Time  0.442581
2021-09-22 21:05:28.518907 : Epoch  2, Batch     18, Loss  0.785089, Average Loss  0.783690, Time  0.252655
2021-09-22 21:05:30.398171 : Epoch  2, Batch     19, Loss  0.772875, Average Loss  0.783677, Time  0.249514
2021-09-22 21:05:31.631191 : Epoch  2, Batch    570, Loss  0.886400, Average Loss  0.873847, Time  0.414511
2021-09-22 21:05:32.358208 : Epoch  2, Batch     20, Loss  0.786172, Average Loss  0.783632, Time  0.324367
2021-09-22 21:05:34.234618 : Epoch  2, Batch     21, Loss  0.780655, Average Loss  0.783642, Time  0.253631
2021-09-22 21:05:36.116543 : Epoch  2, Batch     22, Loss  0.789603, Average Loss  0.783656, Time  0.252720
2021-09-22 21:05:36.613944 : Epoch  2, Batch    571, Loss  0.875744, Average Loss  0.873837, Time  0.414492
2021-09-22 21:05:37.995311 : Epoch  2, Batch     23, Loss  0.782347, Average Loss  0.783653, Time  0.251777
2021-09-22 21:05:39.875724 : Epoch  2, Batch     24, Loss  0.784439, Average Loss  0.783611, Time  0.249634
2021-09-22 21:05:41.622743 : Epoch  2, Batch    572, Loss  0.868849, Average Loss  0.873805, Time  0.414682
2021-09-22 21:05:41.756883 : Epoch  2, Batch     25, Loss  0.784222, Average Loss  0.783626, Time  0.249977
2021-09-22 21:05:43.608660 : Epoch  2, Batch     26, Loss  0.788380, Average Loss  0.783647, Time  0.251709
2021-09-22 21:05:45.493669 : Epoch  2, Batch     27, Loss  0.781361, Average Loss  0.783566, Time  0.250426
2021-09-22 21:05:47.442819 : Epoch  2, Batch     28, Loss  0.791141, Average Loss  0.783568, Time  0.326871
2021-09-22 21:05:49.321039 : Epoch  2, Batch     29, Loss  0.785180, Average Loss  0.783568, Time  0.250571
2021-09-22 21:05:51.189538 : Epoch  2, Batch     30, Loss  0.774943, Average Loss  0.783501, Time  0.250362
2021-09-22 21:05:53.064796 : Epoch  2, Batch     31, Loss  0.781338, Average Loss  0.783523, Time  0.250367
2021-09-22 21:05:54.945441 : Epoch  2, Batch     32, Loss  0.773901, Average Loss  0.783400, Time  0.249425
2021-09-22 21:05:56.814994 : Epoch  2, Batch     33, Loss  0.778093, Average Loss  0.783359, Time  0.250672
2021-09-22 21:05:58.679349 : Epoch  2, Batch     34, Loss  0.786350, Average Loss  0.783391, Time  0.249311
2021-09-22 21:06:00.554781 : Epoch  2, Batch     35, Loss  0.774821, Average Loss  0.783345, Time  0.250894
2021-09-22 21:06:02.511291 : Epoch  2, Batch     36, Loss  0.785298, Average Loss  0.783363, Time  0.330565
2021-09-22 21:06:04.387397 : Epoch  2, Batch     37, Loss  0.791638, Average Loss  0.783401, Time  0.251433
2021-09-22 21:06:06.257691 : Epoch  2, Batch     38, Loss  0.779766, Average Loss  0.783349, Time  0.252175
2021-09-22 21:06:08.132314 : Epoch  2, Batch     39, Loss  0.782459, Average Loss  0.783335, Time  0.249621
2021-09-22 21:06:09.983435 : Epoch  2, Batch     40, Loss  0.782029, Average Loss  0.783278, Time  0.251098
2021-09-22 21:06:11.848725 : Epoch  2, Batch     41, Loss  0.776215, Average Loss  0.783215, Time  0.248864
2021-09-22 21:06:13.724034 : Epoch  2, Batch     42, Loss  0.788269, Average Loss  0.783216, Time  0.255145
2021-09-22 21:06:15.605703 : Epoch  2, Batch     43, Loss  0.781265, Average Loss  0.783115, Time  0.249310
2021-09-22 21:06:17.579403 : Epoch  2, Batch     44, Loss  0.772397, Average Loss  0.783012, Time  0.324956
2021-09-22 21:06:19.456428 : Epoch  2, Batch     45, Loss  0.787898, Average Loss  0.782996, Time  0.250179
2021-09-22 21:06:21.318293 : Epoch  2, Batch     46, Loss  0.781535, Average Loss  0.782945, Time  0.250101
2021-09-22 21:06:23.191366 : Epoch  2, Batch     47, Loss  0.783702, Average Loss  0.782989, Time  0.249936
2021-09-22 21:06:25.058313 : Epoch  2, Batch     48, Loss  0.772034, Average Loss  0.782882, Time  0.250887
2021-09-22 21:06:26.916783 : Epoch  2, Batch     49, Loss  0.767919, Average Loss  0.782792, Time  0.250486
2021-09-22 21:06:28.783271 : Epoch  2, Batch     50, Loss  0.784221, Average Loss  0.782746, Time  0.249656
2021-09-22 21:06:30.640319 : Epoch  2, Batch     51, Loss  0.776684, Average Loss  0.782718, Time  0.250420
2021-09-22 21:06:32.601267 : Epoch  2, Batch     52, Loss  0.780448, Average Loss  0.782704, Time  0.329790
2021-09-22 21:06:34.468396 : Epoch  2, Batch     53, Loss  0.769373, Average Loss  0.782588, Time  0.249800
2021-09-22 21:06:36.332676 : Epoch  2, Batch     54, Loss  0.778508, Average Loss  0.782538, Time  0.249456
2021-09-22 21:06:38.096551 : CheckPoint: Validation Loss  0.00032723, Best Loss  0.00032723
2021-09-22 21:06:38.137465 : Best Model Updated
2021-09-22 21:06:38.238344 : Epoch  2, Batch     55, Loss  0.790859, Average Loss  0.782603, Time  0.278575
2021-09-22 21:06:40.112668 : Epoch  2, Batch     56, Loss  0.778611, Average Loss  0.782536, Time  0.251076
2021-09-22 21:06:40.757878 : Epoch  2, Batch     14, Loss  0.792483, Average Loss  0.788616, Time  0.256663
2021-09-22 21:06:41.985443 : Epoch  2, Batch     57, Loss  0.782744, Average Loss  0.782475, Time  0.250012
2021-09-22 21:06:42.674060 : Epoch  2, Batch     15, Loss  0.788389, Average Loss  0.788544, Time  0.254663
2021-09-22 21:06:43.861404 : Epoch  2, Batch     58, Loss  0.785014, Average Loss  0.782513, Time  0.249955
2021-09-22 21:06:44.586533 : Epoch  2, Batch     16, Loss  0.776115, Average Loss  0.788387, Time  0.254035
2021-09-22 21:06:45.729035 : Epoch  2, Batch     59, Loss  0.776618, Average Loss  0.782496, Time  0.249726
2021-09-22 21:06:46.505155 : Epoch  2, Batch     17, Loss  0.773283, Average Loss  0.788177, Time  0.253879
2021-09-22 21:06:47.604450 : Epoch  2, Batch     60, Loss  0.779666, Average Loss  0.782488, Time  0.250695
2021-09-22 21:06:48.429676 : Epoch  2, Batch     18, Loss  0.784606, Average Loss  0.788107, Time  0.253973
2021-09-22 21:06:49.474178 : Epoch  2, Batch     61, Loss  0.781618, Average Loss  0.782426, Time  0.255954
2021-09-22 21:06:50.346538 : Epoch  2, Batch     19, Loss  0.782109, Average Loss  0.788028, Time  0.254667
2021-09-22 21:06:51.392060 : Epoch  2, Batch     62, Loss  0.772040, Average Loss  0.782372, Time  0.250477
2021-09-22 21:06:52.251326 : Epoch  2, Batch     20, Loss  0.774686, Average Loss  0.787879, Time  0.254947
2021-09-22 21:06:53.252092 : Epoch  2, Batch     63, Loss  0.786011, Average Loss  0.782377, Time  0.250031
2021-09-22 21:06:54.166191 : Epoch  2, Batch     21, Loss  0.779352, Average Loss  0.787760, Time  0.254173
2021-09-22 21:06:55.125108 : Epoch  2, Batch     64, Loss  0.774259, Average Loss  0.782312, Time  0.251430
2021-09-22 21:06:56.095144 : Epoch  2, Batch     22, Loss  0.778090, Average Loss  0.787671, Time  0.253314
2021-09-22 21:06:57.001959 : Epoch  2, Batch     65, Loss  0.775415, Average Loss  0.782296, Time  0.251645
2021-09-22 21:06:58.015225 : Epoch  2, Batch     23, Loss  0.781015, Average Loss  0.787607, Time  0.256188
2021-09-22 21:06:58.912755 : Epoch  2, Batch     66, Loss  0.780310, Average Loss  0.782263, Time  0.250425
2021-09-22 21:06:59.929129 : Epoch  2, Batch     24, Loss  0.784706, Average Loss  0.787515, Time  0.254089
2021-09-22 21:07:00.781861 : Epoch  2, Batch     67, Loss  0.770100, Average Loss  0.782198, Time  0.250334
2021-09-22 21:07:01.834803 : Epoch  2, Batch     25, Loss  0.789967, Average Loss  0.787530, Time  0.254113
2021-09-22 21:07:02.659977 : Epoch  2, Batch     68, Loss  0.779561, Average Loss  0.782222, Time  0.252699
2021-09-22 21:07:03.756272 : Epoch  2, Batch     26, Loss  0.784714, Average Loss  0.787502, Time  0.253851
2021-09-22 21:07:04.531945 : Epoch  2, Batch     69, Loss  0.775757, Average Loss  0.782224, Time  0.250652
2021-09-22 21:07:05.663876 : Epoch  2, Batch     27, Loss  0.777188, Average Loss  0.787422, Time  0.253798
2021-09-22 21:07:06.394074 : Epoch  2, Batch     70, Loss  0.787608, Average Loss  0.782244, Time  0.249447
2021-09-22 21:07:07.577606 : Epoch  2, Batch     28, Loss  0.793155, Average Loss  0.787431, Time  0.253761
2021-09-22 21:07:08.273753 : Epoch  2, Batch     71, Loss  0.780045, Average Loss  0.782195, Time  0.249557
2021-09-22 21:07:09.493743 : Epoch  2, Batch     29, Loss  0.780809, Average Loss  0.787381, Time  0.253432
2021-09-22 21:07:10.141719 : Epoch  2, Batch     72, Loss  0.787862, Average Loss  0.782177, Time  0.250138
2021-09-22 21:07:11.406176 : Epoch  2, Batch     30, Loss  0.784291, Average Loss  0.787314, Time  0.259068
2021-09-22 21:07:12.009901 : Epoch  2, Batch     73, Loss  0.795001, Average Loss  0.782252, Time  0.249304
2021-09-22 21:07:13.331118 : Epoch  2, Batch     31, Loss  0.797425, Average Loss  0.787297, Time  0.254117
2021-09-22 21:07:13.885183 : Epoch  2, Batch     74, Loss  0.785509, Average Loss  0.782342, Time  0.250335
2021-09-22 21:07:15.248926 : Epoch  2, Batch     32, Loss  0.791083, Average Loss  0.787268, Time  0.255296
2021-09-22 21:07:15.744432 : Epoch  2, Batch     75, Loss  0.771644, Average Loss  0.782279, Time  0.249941
2021-09-22 21:07:17.153044 : Epoch  2, Batch     33, Loss  0.785476, Average Loss  0.787180, Time  0.256765
2021-09-22 21:07:17.608893 : Epoch  2, Batch     76, Loss  0.794269, Average Loss  0.782354, Time  0.253502
2021-09-22 21:07:19.047035 : Epoch  2, Batch     34, Loss  0.778414, Average Loss  0.787092, Time  0.253827
2021-09-22 21:07:19.483700 : Epoch  2, Batch     77, Loss  0.778318, Average Loss  0.782304, Time  0.249854
2021-09-22 21:07:20.976784 : Epoch  2, Batch     35, Loss  0.793394, Average Loss  0.787061, Time  0.253433
2021-09-22 21:07:21.366233 : Epoch  2, Batch     78, Loss  0.784766, Average Loss  0.782345, Time  0.250721
2021-09-22 21:07:22.874508 : Epoch  2, Batch     36, Loss  0.778739, Average Loss  0.786938, Time  0.254160
2021-09-22 21:07:23.228773 : Epoch  2, Batch     79, Loss  0.767231, Average Loss  0.782304, Time  0.250156
2021-09-22 21:07:24.772901 : Epoch  2, Batch     37, Loss  0.777618, Average Loss  0.786787, Time  0.255110
2021-09-22 21:07:25.098951 : Epoch  2, Batch     80, Loss  0.766527, Average Loss  0.782192, Time  0.254164
2021-09-22 21:07:26.684938 : Epoch  2, Batch     38, Loss  0.780640, Average Loss  0.786744, Time  0.254572
2021-09-22 21:07:26.945624 : Epoch  2, Batch     81, Loss  0.774263, Average Loss  0.782102, Time  0.249719
2021-09-22 21:07:28.592434 : Epoch  2, Batch     39, Loss  0.785741, Average Loss  0.786724, Time  0.254415
2021-09-22 21:07:28.830922 : Epoch  2, Batch     82, Loss  0.764129, Average Loss  0.781981, Time  0.256660
2021-09-22 21:07:30.539009 : Epoch  2, Batch     40, Loss  0.793026, Average Loss  0.786680, Time  0.309000
2021-09-22 21:07:30.715645 : Epoch  2, Batch     83, Loss  0.778822, Average Loss  0.781960, Time  0.281180
2021-09-22 21:07:32.466542 : Epoch  2, Batch     41, Loss  0.781742, Average Loss  0.786621, Time  0.254970
2021-09-22 21:07:34.393642 : Epoch  2, Batch     42, Loss  0.785571, Average Loss  0.786588, Time  0.255018
2021-09-22 21:07:34.837494 : Epoch  2, Batch     84, Loss  0.780078, Average Loss  0.781991, Time  0.254295
2021-09-22 21:07:36.307811 : Epoch  2, Batch     43, Loss  0.783622, Average Loss  0.786511, Time  0.253455
2021-09-22 21:07:36.691648 : Epoch  2, Batch     85, Loss  0.782553, Average Loss  0.781958, Time  0.251063
2021-09-22 21:07:38.239313 : Epoch  2, Batch     44, Loss  0.783536, Average Loss  0.786490, Time  0.252985
2021-09-22 21:07:38.571793 : Epoch  2, Batch     86, Loss  0.777514, Average Loss  0.781926, Time  0.260447
2021-09-22 21:07:40.147245 : Epoch  2, Batch     45, Loss  0.790149, Average Loss  0.786472, Time  0.253471
2021-09-22 21:07:40.439587 : Epoch  2, Batch     87, Loss  0.774158, Average Loss  0.781880, Time  0.249593
2021-09-22 21:07:42.061051 : Epoch  2, Batch     46, Loss  0.791692, Average Loss  0.786434, Time  0.253084
2021-09-22 21:07:42.299995 : Epoch  2, Batch     88, Loss  0.769722, Average Loss  0.781796, Time  0.254739
2021-09-22 21:07:43.997842 : Epoch  2, Batch     47, Loss  0.786840, Average Loss  0.786361, Time  0.278246
2021-09-22 21:07:44.203087 : Epoch  2, Batch     89, Loss  0.779729, Average Loss  0.781734, Time  0.273591
2021-09-22 21:07:46.019239 : Epoch  2, Batch     48, Loss  0.791375, Average Loss  0.786371, Time  0.362736
2021-09-22 21:07:46.155320 : Epoch  2, Batch     90, Loss  0.782435, Average Loss  0.781768, Time  0.325167
2021-09-22 21:07:48.176087 : Epoch  2, Batch     49, Loss  0.792164, Average Loss  0.786382, Time  0.482248
2021-09-22 21:07:48.210710 : Epoch  2, Batch     91, Loss  0.772203, Average Loss  0.781709, Time  0.443889
2021-09-22 21:07:50.346452 : Epoch  2, Batch     92, Loss  0.784953, Average Loss  0.781686, Time  0.516157
2021-09-22 21:07:50.380299 : Epoch  2, Batch     50, Loss  0.785254, Average Loss  0.786393, Time  0.509665
2021-09-22 21:07:52.514227 : Epoch  2, Batch     93, Loss  0.777760, Average Loss  0.781649, Time  0.509482
2021-09-22 21:07:52.537985 : Epoch  2, Batch     51, Loss  0.785403, Average Loss  0.786385, Time  0.494522
2021-09-22 21:07:54.606147 : Epoch  2, Batch     94, Loss  0.776964, Average Loss  0.781676, Time  0.478488
2021-09-22 21:07:54.652738 : Epoch  2, Batch     52, Loss  0.790439, Average Loss  0.786377, Time  0.451370
2021-09-22 21:07:56.684985 : Epoch  2, Batch     95, Loss  0.782933, Average Loss  0.781735, Time  0.463959
2021-09-22 21:07:56.750065 : Epoch  2, Batch     53, Loss  0.784828, Average Loss  0.786330, Time  0.435450
2021-09-22 21:07:58.779769 : Epoch  2, Batch     96, Loss  0.777013, Average Loss  0.781715, Time  0.452794
2021-09-22 21:07:58.837713 : Epoch  2, Batch     54, Loss  0.784775, Average Loss  0.786314, Time  0.422285
2021-09-22 21:08:00.822415 : Epoch  2, Batch     97, Loss  0.780295, Average Loss  0.781727, Time  0.408990
2021-09-22 21:08:00.906430 : Epoch  2, Batch     55, Loss  0.794236, Average Loss  0.786302, Time  0.376046
2021-09-22 21:08:02.864438 : Epoch  2, Batch     98, Loss  0.780503, Average Loss  0.781630, Time  0.420533
2021-09-22 21:08:02.952098 : Epoch  2, Batch     56, Loss  0.794424, Average Loss  0.786284, Time  0.388938
2021-09-22 21:08:04.899959 : Epoch  2, Batch     99, Loss  0.789321, Average Loss  0.781634, Time  0.417850
2021-09-22 21:08:05.005715 : Epoch  2, Batch     57, Loss  0.782331, Average Loss  0.786293, Time  0.390085
2021-09-22 21:08:06.913351 : Epoch  2, Batch    100, Loss  0.780623, Average Loss  0.781657, Time  0.393990
2021-09-22 21:08:07.020106 : Epoch  2, Batch     58, Loss  0.785056, Average Loss  0.786261, Time  0.363178
2021-09-22 21:08:08.945461 : Epoch  2, Batch    101, Loss  0.781608, Average Loss  0.781645, Time  0.408044
2021-09-22 21:08:09.047412 : Epoch  2, Batch     59, Loss  0.770283, Average Loss  0.786169, Time  0.378922
2021-09-22 21:08:10.979688 : Epoch  2, Batch    102, Loss  0.775826, Average Loss  0.781638, Time  0.405644
2021-09-22 21:08:11.076348 : Epoch  2, Batch     60, Loss  0.781697, Average Loss  0.786120, Time  0.376135
2021-09-22 21:08:13.013328 : Epoch  2, Batch    103, Loss  0.776873, Average Loss  0.781617, Time  0.409935
2021-09-22 21:08:13.120019 : Epoch  2, Batch     61, Loss  0.777063, Average Loss  0.786025, Time  0.378994
2021-09-22 21:08:15.059825 : Epoch  2, Batch    104, Loss  0.776870, Average Loss  0.781591, Time  0.410857
2021-09-22 21:08:15.168455 : Epoch  2, Batch     62, Loss  0.782146, Average Loss  0.785946, Time  0.380860
2021-09-22 21:08:17.102320 : Epoch  2, Batch    105, Loss  0.775771, Average Loss  0.781524, Time  0.402981
2021-09-22 21:08:17.206120 : Epoch  2, Batch     63, Loss  0.782917, Average Loss  0.785885, Time  0.373894
2021-09-22 21:08:19.138590 : Epoch  2, Batch    106, Loss  0.783380, Average Loss  0.781593, Time  0.403026
2021-09-22 21:08:19.244810 : Epoch  2, Batch     64, Loss  0.786494, Average Loss  0.785858, Time  0.377310
2021-09-22 21:08:21.232549 : Epoch  2, Batch    107, Loss  0.775990, Average Loss  0.781586, Time  0.435673
2021-09-22 21:08:21.308203 : Epoch  2, Batch     65, Loss  0.790059, Average Loss  0.785867, Time  0.404514
2021-09-22 21:08:23.302819 : Epoch  2, Batch    108, Loss  0.794602, Average Loss  0.781614, Time  0.444805
2021-09-22 21:08:23.372809 : Epoch  2, Batch     66, Loss  0.790777, Average Loss  0.785889, Time  0.408897
2021-09-22 21:08:25.404609 : Epoch  2, Batch    109, Loss  0.777439, Average Loss  0.781592, Time  0.462974
2021-09-22 21:08:25.468457 : Epoch  2, Batch     67, Loss  0.788545, Average Loss  0.785866, Time  0.430905
2021-09-22 21:08:27.411929 : Epoch  2, Batch    110, Loss  0.776077, Average Loss  0.781548, Time  0.390168
2021-09-22 21:08:27.520633 : Epoch  2, Batch     68, Loss  0.797986, Average Loss  0.785837, Time  0.360324
2021-09-22 21:08:29.449402 : Epoch  2, Batch    111, Loss  0.775770, Average Loss  0.781470, Time  0.408569
2021-09-22 21:08:29.554542 : Epoch  2, Batch     69, Loss  0.772999, Average Loss  0.785716, Time  0.382189
2021-09-22 21:08:31.497817 : Epoch  2, Batch    112, Loss  0.780552, Average Loss  0.781486, Time  0.415641
2021-09-22 21:08:31.597390 : Epoch  2, Batch     70, Loss  0.790448, Average Loss  0.785754, Time  0.386954
2021-09-22 21:08:33.526670 : Epoch  2, Batch    113, Loss  0.772263, Average Loss  0.781426, Time  0.402551
2021-09-22 21:08:33.628028 : Epoch  2, Batch     71, Loss  0.778621, Average Loss  0.785677, Time  0.373966
2021-09-22 21:08:35.583046 : Epoch  2, Batch     72, Loss  0.774179, Average Loss  0.785628, Time  0.255758
2021-09-22 21:08:37.557980 : Epoch  2, Batch     73, Loss  0.785235, Average Loss  0.785617, Time  0.327746
2021-09-22 21:08:39.455849 : Epoch  2, Batch     74, Loss  0.778346, Average Loss  0.785593, Time  0.256906
2021-09-22 21:08:41.372545 : Epoch  2, Batch     75, Loss  0.783150, Average Loss  0.785596, Time  0.254119
2021-09-22 21:08:43.283363 : Epoch  2, Batch     76, Loss  0.789811, Average Loss  0.785591, Time  0.258392
2021-09-22 21:08:45.195265 : Epoch  2, Batch     77, Loss  0.787067, Average Loss  0.785581, Time  0.253584
2021-09-22 21:08:47.141892 : Epoch  2, Batch     78, Loss  0.787528, Average Loss  0.785564, Time  0.254326
2021-09-22 21:08:49.133665 : Epoch  2, Batch     79, Loss  0.785318, Average Loss  0.785516, Time  0.328890
2021-09-22 21:08:51.122959 : Epoch  2, Batch     80, Loss  0.778157, Average Loss  0.785440, Time  0.256394
2021-09-22 21:08:53.063787 : Epoch  2, Batch     81, Loss  0.769394, Average Loss  0.785312, Time  0.265620
2021-09-22 21:08:55.015069 : Epoch  2, Batch     82, Loss  0.774138, Average Loss  0.785228, Time  0.254558
2021-09-22 21:08:56.962037 : Epoch  2, Batch     83, Loss  0.779379, Average Loss  0.785152, Time  0.254357
2021-09-22 21:09:01.202963 : Epoch  2, Batch     84, Loss  0.787402, Average Loss  0.785156, Time  0.257849
2021-09-22 21:09:03.105760 : Epoch  2, Batch     85, Loss  0.783169, Average Loss  0.785118, Time  0.257727
2021-09-22 21:09:05.003187 : Epoch  2, Batch     86, Loss  0.780601, Average Loss  0.785083, Time  0.253784
2021-09-22 21:09:06.922309 : Epoch  2, Batch     87, Loss  0.785627, Average Loss  0.785068, Time  0.255626
2021-09-22 21:09:08.884402 : Epoch  2, Batch     88, Loss  0.780331, Average Loss  0.784972, Time  0.305553
2021-09-22 21:09:10.798034 : Epoch  2, Batch     89, Loss  0.785043, Average Loss  0.784907, Time  0.254453
2021-09-22 21:09:12.767792 : Epoch  2, Batch     90, Loss  0.770160, Average Loss  0.784818, Time  0.254578
2021-09-22 21:09:14.678497 : Epoch  2, Batch     91, Loss  0.778468, Average Loss  0.784701, Time  0.254846
2021-09-22 21:09:16.568695 : Epoch  2, Batch     92, Loss  0.792740, Average Loss  0.784737, Time  0.253991
2021-09-22 21:09:18.476233 : Epoch  2, Batch     93, Loss  0.785367, Average Loss  0.784689, Time  0.254951
2021-09-22 21:09:20.476842 : Epoch  2, Batch     94, Loss  0.788989, Average Loss  0.784710, Time  0.327733
2021-09-22 21:09:22.372572 : Epoch  2, Batch     95, Loss  0.780304, Average Loss  0.784637, Time  0.253554
2021-09-22 21:09:24.279576 : Epoch  2, Batch     96, Loss  0.774211, Average Loss  0.784565, Time  0.253467
2021-09-22 21:09:26.197271 : Epoch  2, Batch     97, Loss  0.789526, Average Loss  0.784614, Time  0.253693
2021-09-22 21:09:28.094890 : Epoch  2, Batch     98, Loss  0.779552, Average Loss  0.784549, Time  0.254832
2021-09-22 21:09:29.998732 : Epoch  2, Batch     99, Loss  0.783586, Average Loss  0.784497, Time  0.253829
2021-09-22 21:09:31.916170 : Epoch  2, Batch    100, Loss  0.790586, Average Loss  0.784554, Time  0.254172
2021-09-22 21:09:33.843946 : Epoch  2, Batch    101, Loss  0.780005, Average Loss  0.784558, Time  0.269245
2021-09-22 21:09:35.769211 : Epoch  2, Batch    102, Loss  0.783921, Average Loss  0.784551, Time  0.253478
2021-09-22 21:09:37.673089 : Epoch  2, Batch    103, Loss  0.786244, Average Loss  0.784520, Time  0.253375
2021-09-22 21:09:39.578450 : Epoch  2, Batch    104, Loss  0.788015, Average Loss  0.784520, Time  0.253751
2021-09-22 21:09:41.477158 : Epoch  2, Batch    105, Loss  0.783269, Average Loss  0.784472, Time  0.253585
2021-09-22 21:09:43.062840 : CheckPoint: Validation Loss  0.00015236, Best Loss  0.00014923
2021-09-22 21:09:43.378623 : Epoch  2, Batch    106, Loss  0.788638, Average Loss  0.784508, Time  0.254587
2021-09-22 21:09:44.017253 : CheckPoint: Validation Loss  0.00032289, Best Loss  0.00032051
2021-09-22 21:09:45.268886 : Epoch  2, Batch    107, Loss  0.780798, Average Loss  0.784468, Time  0.254895
2021-09-22 21:09:45.900008 : Epoch  2, Batch    114, Loss  0.776716, Average Loss  0.781397, Time  0.249564
2021-09-22 21:09:47.158279 : Epoch  2, Batch    108, Loss  0.786764, Average Loss  0.784426, Time  0.253408
2021-09-22 21:09:47.783165 : Epoch  2, Batch    115, Loss  0.780200, Average Loss  0.781339, Time  0.249821
2021-09-22 21:09:48.107173 : Epoch  2, Batch    573, Loss  0.864386, Average Loss  0.873722, Time  0.441981
2021-09-22 21:09:49.074792 : Epoch  2, Batch    109, Loss  0.790058, Average Loss  0.784423, Time  0.254070
2021-09-22 21:09:49.660234 : Epoch  2, Batch    116, Loss  0.782073, Average Loss  0.781355, Time  0.249054
2021-09-22 21:09:50.971916 : Epoch  2, Batch    110, Loss  0.786422, Average Loss  0.784412, Time  0.254837
2021-09-22 21:09:51.551895 : Epoch  2, Batch    117, Loss  0.775346, Average Loss  0.781300, Time  0.251299
2021-09-22 21:09:52.863394 : Epoch  2, Batch    111, Loss  0.780791, Average Loss  0.784286, Time  0.254750
2021-09-22 21:09:53.097090 : Epoch  2, Batch    574, Loss  0.874077, Average Loss  0.873625, Time  0.415452
2021-09-22 21:09:53.445832 : Epoch  2, Batch    118, Loss  0.779025, Average Loss  0.781305, Time  0.253325
2021-09-22 21:09:54.778717 : Epoch  2, Batch    112, Loss  0.783535, Average Loss  0.784208, Time  0.254419
2021-09-22 21:09:55.319175 : Epoch  2, Batch    119, Loss  0.776292, Average Loss  0.781246, Time  0.249384
2021-09-22 21:09:56.686003 : Epoch  2, Batch    113, Loss  0.768969, Average Loss  0.784164, Time  0.258250
2021-09-22 21:09:57.198262 : Epoch  2, Batch    120, Loss  0.781165, Average Loss  0.781248, Time  0.251129
2021-09-22 21:09:58.094118 : Epoch  2, Batch    575, Loss  0.893008, Average Loss  0.873724, Time  0.414968
2021-09-22 21:09:59.087058 : Epoch  2, Batch    121, Loss  0.771234, Average Loss  0.781154, Time  0.253607
2021-09-22 21:10:00.971528 : Epoch  2, Batch    122, Loss  0.781473, Average Loss  0.781121, Time  0.249848
2021-09-22 21:10:02.841762 : Epoch  2, Batch    123, Loss  0.790060, Average Loss  0.781135, Time  0.251276
2021-09-22 21:10:03.104844 : Epoch  2, Batch    576, Loss  0.874229, Average Loss  0.873724, Time  0.415045
2021-09-22 21:10:04.709088 : Epoch  2, Batch    124, Loss  0.779197, Average Loss  0.781123, Time  0.249619
2021-09-22 21:10:06.585779 : Epoch  2, Batch    125, Loss  0.778943, Average Loss  0.781066, Time  0.249737
2021-09-22 21:10:08.115910 : Epoch  2, Batch    577, Loss  0.874497, Average Loss  0.873621, Time  0.416774
2021-09-22 21:10:08.474198 : Epoch  2, Batch    126, Loss  0.780031, Average Loss  0.781082, Time  0.252859
2021-09-22 21:10:10.339627 : Epoch  2, Batch    127, Loss  0.775137, Average Loss  0.781065, Time  0.251262
2021-09-22 21:10:12.295082 : Epoch  2, Batch    128, Loss  0.784974, Average Loss  0.781054, Time  0.327274
2021-09-22 21:10:13.119827 : Epoch  2, Batch    578, Loss  0.866711, Average Loss  0.873590, Time  0.415548
2021-09-22 21:10:14.167793 : Epoch  2, Batch    129, Loss  0.783035, Average Loss  0.781011, Time  0.250466
2021-09-22 21:10:16.038991 : Epoch  2, Batch    130, Loss  0.780294, Average Loss  0.781003, Time  0.249514
2021-09-22 21:10:17.913019 : Epoch  2, Batch    131, Loss  0.786758, Average Loss  0.781005, Time  0.252771
2021-09-22 21:10:18.110818 : Epoch  2, Batch    579, Loss  0.857384, Average Loss  0.873477, Time  0.416291
2021-09-22 21:10:19.797466 : Epoch  2, Batch    132, Loss  0.782391, Average Loss  0.780973, Time  0.250223
2021-09-22 21:10:21.678979 : Epoch  2, Batch    133, Loss  0.772874, Average Loss  0.780930, Time  0.249763
2021-09-22 21:10:23.090888 : Epoch  2, Batch    580, Loss  0.878806, Average Loss  0.873541, Time  0.413442
2021-09-22 21:10:23.569063 : Epoch  2, Batch    134, Loss  0.776390, Average Loss  0.780920, Time  0.255847
2021-09-22 21:10:25.449259 : Epoch  2, Batch    135, Loss  0.778223, Average Loss  0.780887, Time  0.249928
2021-09-22 21:10:27.392601 : Epoch  2, Batch    136, Loss  0.772302, Average Loss  0.780852, Time  0.323511
2021-09-22 21:10:28.068783 : Epoch  2, Batch    581, Loss  0.875884, Average Loss  0.873546, Time  0.413647
2021-09-22 21:10:29.272256 : Epoch  2, Batch    137, Loss  0.776815, Average Loss  0.780820, Time  0.251343
2021-09-22 21:10:31.153165 : Epoch  2, Batch    138, Loss  0.781955, Average Loss  0.780837, Time  0.250282
2021-09-22 21:10:33.026127 : Epoch  2, Batch    139, Loss  0.773379, Average Loss  0.780844, Time  0.249910
2021-09-22 21:10:33.086278 : Epoch  2, Batch    582, Loss  0.869613, Average Loss  0.873593, Time  0.452945
2021-09-22 21:10:34.915701 : Epoch  2, Batch    140, Loss  0.777446, Average Loss  0.780836, Time  0.249975
2021-09-22 21:10:36.789497 : Epoch  2, Batch    141, Loss  0.774743, Average Loss  0.780831, Time  0.250572
2021-09-22 21:10:38.085917 : Epoch  2, Batch    583, Loss  0.868205, Average Loss  0.873571, Time  0.414604
2021-09-22 21:10:38.666852 : Epoch  2, Batch    142, Loss  0.781292, Average Loss  0.780811, Time  0.251112
2021-09-22 21:10:40.615340 : Epoch  2, Batch    143, Loss  0.777184, Average Loss  0.780779, Time  0.326107
2021-09-22 21:10:42.475776 : Epoch  2, Batch    144, Loss  0.782410, Average Loss  0.780815, Time  0.250926
2021-09-22 21:10:43.106183 : Epoch  2, Batch    584, Loss  0.881597, Average Loss  0.873648, Time  0.416109
2021-09-22 21:10:44.360391 : Epoch  2, Batch    145, Loss  0.770607, Average Loss  0.780709, Time  0.249763
2021-09-22 21:10:46.236425 : Epoch  2, Batch    146, Loss  0.762304, Average Loss  0.780588, Time  0.249636
2021-09-22 21:10:48.127303 : Epoch  2, Batch    147, Loss  0.790771, Average Loss  0.780629, Time  0.250795
2021-09-22 21:10:48.130841 : Epoch  2, Batch    585, Loss  0.873566, Average Loss  0.873592, Time  0.416473
2021-09-22 21:10:50.008296 : Epoch  2, Batch    148, Loss  0.788768, Average Loss  0.780645, Time  0.249863
2021-09-22 21:10:51.893386 : Epoch  2, Batch    149, Loss  0.778728, Average Loss  0.780613, Time  0.250301
2021-09-22 21:10:53.142284 : Epoch  2, Batch    586, Loss  0.870582, Average Loss  0.873621, Time  0.414694
2021-09-22 21:10:53.769956 : Epoch  2, Batch    150, Loss  0.776538, Average Loss  0.780610, Time  0.254878
2021-09-22 21:10:55.723319 : Epoch  2, Batch    151, Loss  0.783925, Average Loss  0.780645, Time  0.328386
2021-09-22 21:10:57.612307 : Epoch  2, Batch    152, Loss  0.770262, Average Loss  0.780567, Time  0.255651
2021-09-22 21:10:58.148835 : Epoch  2, Batch    587, Loss  0.867103, Average Loss  0.873474, Time  0.415730
2021-09-22 21:10:59.499730 : Epoch  2, Batch    153, Loss  0.782772, Average Loss  0.780606, Time  0.251087
2021-09-22 21:11:01.380617 : Epoch  2, Batch    154, Loss  0.785916, Average Loss  0.780634, Time  0.249818
2021-09-22 21:11:03.168036 : Epoch  2, Batch    588, Loss  0.874263, Average Loss  0.873476, Time  0.415617
2021-09-22 21:11:03.259918 : Epoch  2, Batch    155, Loss  0.770230, Average Loss  0.780581, Time  0.250932
2021-09-22 21:11:05.127226 : Epoch  2, Batch    156, Loss  0.772067, Average Loss  0.780501, Time  0.249518
2021-09-22 21:11:06.994742 : Epoch  2, Batch    157, Loss  0.762751, Average Loss  0.780316, Time  0.250282
2021-09-22 21:11:07.798099 : CheckPoint: Validation Loss  0.00032209, Best Loss  0.00032209
2021-09-22 21:11:07.838087 : Best Model Updated
2021-09-22 21:11:08.155175 : Epoch  2, Batch    589, Loss  0.878734, Average Loss  0.873554, Time  0.414758
2021-09-22 21:11:08.867962 : Epoch  2, Batch    158, Loss  0.781733, Average Loss  0.780391, Time  0.250068
2021-09-22 21:11:10.438909 : Epoch  2, Batch    114, Loss  0.786625, Average Loss  0.784143, Time  0.253651
2021-09-22 21:11:10.741145 : Epoch  2, Batch    159, Loss  0.782907, Average Loss  0.780460, Time  0.251156
2021-09-22 21:11:12.333857 : Epoch  2, Batch    115, Loss  0.785969, Average Loss  0.784157, Time  0.252713
2021-09-22 21:11:12.604810 : Epoch  2, Batch    160, Loss  0.767237, Average Loss  0.780351, Time  0.250282
2021-09-22 21:11:13.169083 : Epoch  2, Batch    590, Loss  0.868680, Average Loss  0.873499, Time  0.415185
2021-09-22 21:11:14.222670 : Epoch  2, Batch    116, Loss  0.770416, Average Loss  0.784078, Time  0.256047
2021-09-22 21:11:14.479270 : Epoch  2, Batch    161, Loss  0.795316, Average Loss  0.780371, Time  0.251335
2021-09-22 21:11:16.116025 : Epoch  2, Batch    117, Loss  0.782535, Average Loss  0.784003, Time  0.253718
2021-09-22 21:11:16.357827 : Epoch  2, Batch    162, Loss  0.772092, Average Loss  0.780271, Time  0.252823
2021-09-22 21:11:18.023601 : Epoch  2, Batch    118, Loss  0.773040, Average Loss  0.783934, Time  0.255658
2021-09-22 21:11:18.226329 : Epoch  2, Batch    591, Loss  0.869108, Average Loss  0.873495, Time  0.468224
2021-09-22 21:11:18.281984 : Epoch  2, Batch    163, Loss  0.768698, Average Loss  0.780170, Time  0.251572
2021-09-22 21:11:19.929632 : Epoch  2, Batch    119, Loss  0.786448, Average Loss  0.783939, Time  0.254990
2021-09-22 21:11:20.173821 : Epoch  2, Batch    164, Loss  0.773870, Average Loss  0.780151, Time  0.257117
2021-09-22 21:11:21.823136 : Epoch  2, Batch    120, Loss  0.775231, Average Loss  0.783891, Time  0.254143
2021-09-22 21:11:22.066950 : Epoch  2, Batch    165, Loss  0.783009, Average Loss  0.780112, Time  0.261010
2021-09-22 21:11:23.222387 : Epoch  2, Batch    592, Loss  0.875558, Average Loss  0.873477, Time  0.418249
2021-09-22 21:11:23.729528 : Epoch  2, Batch    121, Loss  0.781713, Average Loss  0.783910, Time  0.253404
2021-09-22 21:11:23.954166 : Epoch  2, Batch    166, Loss  0.769205, Average Loss  0.779951, Time  0.263264
2021-09-22 21:11:25.677235 : Epoch  2, Batch    122, Loss  0.782853, Average Loss  0.783876, Time  0.299248
2021-09-22 21:11:25.872038 : Epoch  2, Batch    167, Loss  0.781731, Average Loss  0.779980, Time  0.284231
2021-09-22 21:11:27.665536 : Epoch  2, Batch    123, Loss  0.785089, Average Loss  0.783860, Time  0.350637
2021-09-22 21:11:27.821405 : Epoch  2, Batch    168, Loss  0.766807, Average Loss  0.779946, Time  0.316506
2021-09-22 21:11:28.207094 : Epoch  2, Batch    593, Loss  0.885793, Average Loss  0.873511, Time  0.415614
2021-09-22 21:11:29.800949 : Epoch  2, Batch    124, Loss  0.777067, Average Loss  0.783779, Time  0.459057
2021-09-22 21:11:29.864442 : Epoch  2, Batch    169, Loss  0.776647, Average Loss  0.779970, Time  0.425027
2021-09-22 21:11:31.945593 : Epoch  2, Batch    125, Loss  0.786909, Average Loss  0.783797, Time  0.503115
2021-09-22 21:11:31.971743 : Epoch  2, Batch    170, Loss  0.765529, Average Loss  0.779896, Time  0.474536
2021-09-22 21:11:33.204031 : Epoch  2, Batch    594, Loss  0.867857, Average Loss  0.873494, Time  0.417320
2021-09-22 21:11:34.108497 : Epoch  2, Batch    171, Loss  0.768089, Average Loss  0.779790, Time  0.515416
2021-09-22 21:11:34.136065 : Epoch  2, Batch    126, Loss  0.782335, Average Loss  0.783757, Time  0.504415
2021-09-22 21:11:36.197050 : Epoch  2, Batch    172, Loss  0.785883, Average Loss  0.779807, Time  0.476175
2021-09-22 21:11:36.244420 : Epoch  2, Batch    127, Loss  0.778159, Average Loss  0.783745, Time  0.448591
2021-09-22 21:11:38.205824 : Epoch  2, Batch    595, Loss  0.879466, Average Loss  0.873512, Time  0.415041
2021-09-22 21:11:38.324764 : Epoch  2, Batch    173, Loss  0.777938, Average Loss  0.779833, Time  0.492644
2021-09-22 21:11:38.354671 : Epoch  2, Batch    128, Loss  0.784967, Average Loss  0.783747, Time  0.459732
2021-09-22 21:11:40.453790 : Epoch  2, Batch    174, Loss  0.772720, Average Loss  0.779747, Time  0.501448
2021-09-22 21:11:40.480521 : Epoch  2, Batch    129, Loss  0.781401, Average Loss  0.783805, Time  0.475423
2021-09-22 21:11:42.578202 : Epoch  2, Batch    175, Loss  0.777274, Average Loss  0.779781, Time  0.501499
2021-09-22 21:11:42.611911 : Epoch  2, Batch    130, Loss  0.785820, Average Loss  0.783814, Time  0.479212
2021-09-22 21:11:43.209938 : Epoch  2, Batch    596, Loss  0.863164, Average Loss  0.873376, Time  0.414721
2021-09-22 21:11:44.696486 : Epoch  2, Batch    176, Loss  0.782534, Average Loss  0.779797, Time  0.496903
2021-09-22 21:11:44.742953 : Epoch  2, Batch    131, Loss  0.776882, Average Loss  0.783758, Time  0.466617
2021-09-22 21:11:46.811609 : Epoch  2, Batch    177, Loss  0.776004, Average Loss  0.779781, Time  0.492460
2021-09-22 21:11:46.844430 : Epoch  2, Batch    132, Loss  0.784193, Average Loss  0.783742, Time  0.456318
2021-09-22 21:11:48.211807 : Epoch  2, Batch    597, Loss  0.872661, Average Loss  0.873359, Time  0.414706
2021-09-22 21:11:48.984680 : Epoch  2, Batch    178, Loss  0.780361, Average Loss  0.779778, Time  0.517459
2021-09-22 21:11:49.017120 : Epoch  2, Batch    133, Loss  0.794957, Average Loss  0.783831, Time  0.512562
2021-09-22 21:11:51.104367 : Epoch  2, Batch    179, Loss  0.783372, Average Loss  0.779740, Time  0.500951
2021-09-22 21:11:51.139981 : Epoch  2, Batch    134, Loss  0.783251, Average Loss  0.783796, Time  0.475952
2021-09-22 21:11:53.183894 : Epoch  2, Batch    598, Loss  0.871708, Average Loss  0.873292, Time  0.413639
2021-09-22 21:11:53.227249 : Epoch  2, Batch    180, Loss  0.777348, Average Loss  0.779676, Time  0.498916
2021-09-22 21:11:53.261015 : Epoch  2, Batch    135, Loss  0.789733, Average Loss  0.783844, Time  0.476511
2021-09-22 21:11:55.352891 : Epoch  2, Batch    181, Loss  0.784639, Average Loss  0.779682, Time  0.502505
2021-09-22 21:11:55.391004 : Epoch  2, Batch    136, Loss  0.766612, Average Loss  0.783745, Time  0.464765
2021-09-22 21:11:57.443899 : Epoch  2, Batch    182, Loss  0.776507, Average Loss  0.779622, Time  0.462802
2021-09-22 21:11:57.501391 : Epoch  2, Batch    137, Loss  0.781319, Average Loss  0.783742, Time  0.432437
2021-09-22 21:11:58.152868 : Epoch  2, Batch    599, Loss  0.873082, Average Loss  0.873244, Time  0.414708
2021-09-22 21:11:59.555073 : Epoch  2, Batch    183, Loss  0.776781, Average Loss  0.779640, Time  0.490291
2021-09-22 21:11:59.592941 : Epoch  2, Batch    138, Loss  0.789818, Average Loss  0.783777, Time  0.455890
2021-09-22 21:12:01.498861 : Epoch  2, Batch    139, Loss  0.781929, Average Loss  0.783716, Time  0.256085
2021-09-22 21:12:03.197128 : Epoch  2, Batch    600, Loss  0.880844, Average Loss  0.873253, Time  0.466947
2021-09-22 21:12:03.404257 : Epoch  2, Batch    140, Loss  0.791265, Average Loss  0.783767, Time  0.253334
2021-09-22 21:12:03.650244 : Epoch  2, Batch    184, Loss  0.785516, Average Loss  0.779700, Time  0.253227
2021-09-22 21:12:05.307189 : Epoch  2, Batch    141, Loss  0.783502, Average Loss  0.783767, Time  0.253543
2021-09-22 21:12:05.534246 : Epoch  2, Batch    185, Loss  0.772357, Average Loss  0.779587, Time  0.260221
2021-09-22 21:12:07.204685 : Epoch  2, Batch    142, Loss  0.787031, Average Loss  0.783750, Time  0.254883
2021-09-22 21:12:07.426878 : Epoch  2, Batch    186, Loss  0.777474, Average Loss  0.779526, Time  0.265631
2021-09-22 21:12:08.202170 : Epoch  2, Batch    601, Loss  0.872855, Average Loss  0.873252, Time  0.421834
2021-09-22 21:12:09.226374 : Epoch  2, Batch    143, Loss  0.786977, Average Loss  0.783732, Time  0.357186
2021-09-22 21:12:09.360169 : Epoch  2, Batch    187, Loss  0.787616, Average Loss  0.779580, Time  0.320149
2021-09-22 21:12:11.323756 : Epoch  2, Batch    144, Loss  0.780933, Average Loss  0.783733, Time  0.456201
2021-09-22 21:12:11.384241 : Epoch  2, Batch    188, Loss  0.768115, Average Loss  0.779495, Time  0.415003
2021-09-22 21:12:13.225129 : Epoch  2, Batch    602, Loss  0.881448, Average Loss  0.873251, Time  0.417663
2021-09-22 21:12:13.475476 : Epoch  2, Batch    145, Loss  0.771754, Average Loss  0.783681, Time  0.510304
2021-09-22 21:12:13.504201 : Epoch  2, Batch    189, Loss  0.783053, Average Loss  0.779466, Time  0.487032
2021-09-22 21:12:15.624382 : Epoch  2, Batch    146, Loss  0.785125, Average Loss  0.783686, Time  0.510991
2021-09-22 21:12:15.658273 : Epoch  2, Batch    190, Loss  0.779808, Average Loss  0.779456, Time  0.486086
2021-09-22 21:12:17.778684 : Epoch  2, Batch    147, Loss  0.774534, Average Loss  0.783608, Time  0.514297
2021-09-22 21:12:17.808063 : Epoch  2, Batch    191, Loss  0.777614, Average Loss  0.779445, Time  0.495670
2021-09-22 21:12:18.334884 : Epoch  2, Batch    603, Loss  0.867894, Average Loss  0.873299, Time  0.419546
2021-09-22 21:12:19.941558 : Epoch  2, Batch    192, Loss  0.773843, Average Loss  0.779408, Time  0.511162
2021-09-22 21:12:19.973362 : Epoch  2, Batch    148, Loss  0.786882, Average Loss  0.783602, Time  0.493492
2021-09-22 21:12:22.061128 : Epoch  2, Batch    193, Loss  0.779126, Average Loss  0.779395, Time  0.495129
2021-09-22 21:12:22.097036 : Epoch  2, Batch    149, Loss  0.778795, Average Loss  0.783584, Time  0.466935
2021-09-22 21:12:23.329082 : Epoch  2, Batch    604, Loss  0.877183, Average Loss  0.873295, Time  0.414766
2021-09-22 21:12:24.162342 : Epoch  2, Batch    194, Loss  0.765784, Average Loss  0.779369, Time  0.480978
2021-09-22 21:12:24.209707 : Epoch  2, Batch    150, Loss  0.780641, Average Loss  0.783581, Time  0.456987
2021-09-22 21:12:26.274023 : Epoch  2, Batch    195, Loss  0.781378, Average Loss  0.779383, Time  0.487888
2021-09-22 21:12:26.312914 : Epoch  2, Batch    151, Loss  0.789247, Average Loss  0.783551, Time  0.454893
2021-09-22 21:12:28.342001 : Epoch  2, Batch    605, Loss  0.869900, Average Loss  0.873311, Time  0.422273
2021-09-22 21:12:28.391469 : Epoch  2, Batch    196, Loss  0.777528, Average Loss  0.779401, Time  0.495961
2021-09-22 21:12:28.424414 : Epoch  2, Batch    152, Loss  0.778395, Average Loss  0.783540, Time  0.467862
2021-09-22 21:12:30.528474 : Epoch  2, Batch    197, Loss  0.771544, Average Loss  0.779391, Time  0.505225
2021-09-22 21:12:30.564671 : Epoch  2, Batch    153, Loss  0.786652, Average Loss  0.783560, Time  0.454351
2021-09-22 21:12:32.646619 : Epoch  2, Batch    198, Loss  0.777589, Average Loss  0.779368, Time  0.497386
2021-09-22 21:12:32.683203 : Epoch  2, Batch    154, Loss  0.776848, Average Loss  0.783529, Time  0.464859
2021-09-22 21:12:33.344902 : Epoch  2, Batch    606, Loss  0.853546, Average Loss  0.873160, Time  0.414799
2021-09-22 21:12:34.750301 : Epoch  2, Batch    199, Loss  0.771779, Average Loss  0.779316, Time  0.482088
2021-09-22 21:12:34.792407 : Epoch  2, Batch    155, Loss  0.784413, Average Loss  0.783475, Time  0.453912
2021-09-22 21:12:36.865902 : Epoch  2, Batch    200, Loss  0.772420, Average Loss  0.779245, Time  0.491882
2021-09-22 21:12:36.895670 : Epoch  2, Batch    156, Loss  0.776530, Average Loss  0.783447, Time  0.457200
2021-09-22 21:12:38.367403 : Epoch  2, Batch    607, Loss  0.857055, Average Loss  0.873067, Time  0.424243
2021-09-22 21:12:38.990549 : Epoch  2, Batch    201, Loss  0.778359, Average Loss  0.779240, Time  0.497671
2021-09-22 21:12:39.023981 : Epoch  2, Batch    157, Loss  0.784853, Average Loss  0.783443, Time  0.471174
2021-09-22 21:12:41.109640 : Epoch  2, Batch    202, Loss  0.761854, Average Loss  0.779098, Time  0.492132
2021-09-22 21:12:41.139169 : Epoch  2, Batch    158, Loss  0.785854, Average Loss  0.783447, Time  0.458955
2021-09-22 21:12:43.241229 : Epoch  2, Batch    203, Loss  0.767083, Average Loss  0.778998, Time  0.501830
2021-09-22 21:12:43.270785 : Epoch  2, Batch    159, Loss  0.780945, Average Loss  0.783377, Time  0.472465
2021-09-22 21:12:43.378908 : Epoch  2, Batch    608, Loss  0.877237, Average Loss  0.873068, Time  0.415026
2021-09-22 21:12:45.359090 : Epoch  2, Batch    204, Loss  0.784339, Average Loss  0.779056, Time  0.494851
2021-09-22 21:12:45.393200 : Epoch  2, Batch    160, Loss  0.777808, Average Loss  0.783331, Time  0.462107
2021-09-22 21:12:47.478377 : Epoch  2, Batch    205, Loss  0.784504, Average Loss  0.779066, Time  0.495692
2021-09-22 21:12:47.512417 : Epoch  2, Batch    161, Loss  0.781347, Average Loss  0.783330, Time  0.468494
2021-09-22 21:12:48.417913 : Epoch  2, Batch    609, Loss  0.871925, Average Loss  0.873049, Time  0.449603
2021-09-22 21:12:49.599010 : Epoch  2, Batch    206, Loss  0.780919, Average Loss  0.779071, Time  0.497455
2021-09-22 21:12:49.631867 : Epoch  2, Batch    162, Loss  0.787415, Average Loss  0.783314, Time  0.476383
2021-09-22 21:12:51.718640 : Epoch  2, Batch    207, Loss  0.776639, Average Loss  0.779078, Time  0.494055
2021-09-22 21:12:51.759065 : Epoch  2, Batch    163, Loss  0.786608, Average Loss  0.783308, Time  0.467083
2021-09-22 21:12:53.417083 : Epoch  2, Batch    610, Loss  0.880647, Average Loss  0.872996, Time  0.414435
2021-09-22 21:12:53.850101 : Epoch  2, Batch    208, Loss  0.774421, Average Loss  0.779045, Time  0.498507
2021-09-22 21:12:53.888162 : Epoch  2, Batch    164, Loss  0.792443, Average Loss  0.783347, Time  0.475005
2021-09-22 21:12:55.977613 : Epoch  2, Batch    209, Loss  0.780603, Average Loss  0.779004, Time  0.495330
2021-09-22 21:12:56.009664 : Epoch  2, Batch    165, Loss  0.784795, Average Loss  0.783425, Time  0.467787
2021-09-22 21:12:58.105647 : Epoch  2, Batch    210, Loss  0.767100, Average Loss  0.778908, Time  0.495888
2021-09-22 21:12:58.150685 : Epoch  2, Batch    166, Loss  0.788256, Average Loss  0.783394, Time  0.473666
2021-09-22 21:12:58.426864 : Epoch  2, Batch    611, Loss  0.886282, Average Loss  0.873089, Time  0.416051
2021-09-22 21:13:00.308398 : Epoch  2, Batch    211, Loss  0.786271, Average Loss  0.778908, Time  0.514858
2021-09-22 21:13:00.341711 : Epoch  2, Batch    167, Loss  0.778586, Average Loss  0.783372, Time  0.504937
2021-09-22 21:13:02.438081 : Epoch  2, Batch    212, Loss  0.782871, Average Loss  0.778883, Time  0.500033
2021-09-22 21:13:02.470761 : Epoch  2, Batch    168, Loss  0.785405, Average Loss  0.783416, Time  0.474615
2021-09-22 21:13:03.422099 : Epoch  2, Batch    612, Loss  0.870260, Average Loss  0.873099, Time  0.416574
2021-09-22 21:13:04.379835 : Epoch  2, Batch    169, Loss  0.783215, Average Loss  0.783423, Time  0.257023
2021-09-22 21:13:06.296809 : Epoch  2, Batch    170, Loss  0.793727, Average Loss  0.783524, Time  0.255380
2021-09-22 21:13:06.554371 : Epoch  2, Batch    213, Loss  0.775177, Average Loss  0.778827, Time  0.251536
2021-09-22 21:13:08.189631 : Epoch  2, Batch    171, Loss  0.782481, Average Loss  0.783474, Time  0.254973
2021-09-22 21:13:08.435895 : Epoch  2, Batch    613, Loss  0.857947, Average Loss  0.872907, Time  0.415346
2021-09-22 21:13:10.085266 : Epoch  2, Batch    172, Loss  0.779582, Average Loss  0.783465, Time  0.253997
2021-09-22 21:13:12.054984 : Epoch  2, Batch    173, Loss  0.780930, Average Loss  0.783484, Time  0.327808
2021-09-22 21:13:13.422841 : Epoch  2, Batch    614, Loss  0.853670, Average Loss  0.872775, Time  0.415709
2021-09-22 21:13:13.953057 : Epoch  2, Batch    174, Loss  0.776968, Average Loss  0.783417, Time  0.256587
2021-09-22 21:13:15.851854 : Epoch  2, Batch    175, Loss  0.782579, Average Loss  0.783443, Time  0.253466
2021-09-22 21:13:17.757134 : Epoch  2, Batch    176, Loss  0.780505, Average Loss  0.783450, Time  0.254418
2021-09-22 21:13:18.435083 : Epoch  2, Batch    615, Loss  0.866831, Average Loss  0.872709, Time  0.416893
2021-09-22 21:13:19.646992 : Epoch  2, Batch    177, Loss  0.778121, Average Loss  0.783426, Time  0.253371
2021-09-22 21:13:21.539528 : Epoch  2, Batch    178, Loss  0.767486, Average Loss  0.783329, Time  0.253367
2021-09-22 21:13:23.423023 : Epoch  2, Batch    616, Loss  0.879968, Average Loss  0.872762, Time  0.417063
2021-09-22 21:13:23.517938 : Epoch  2, Batch    179, Loss  0.787242, Average Loss  0.783291, Time  0.328492
2021-09-22 21:13:25.422851 : Epoch  2, Batch    180, Loss  0.788266, Average Loss  0.783286, Time  0.253792
2021-09-22 21:13:27.319090 : Epoch  2, Batch    181, Loss  0.781931, Average Loss  0.783282, Time  0.257991
2021-09-22 21:13:28.385085 : Epoch  2, Batch    617, Loss  0.862324, Average Loss  0.872631, Time  0.413561
2021-09-22 21:13:29.220672 : Epoch  2, Batch    182, Loss  0.785811, Average Loss  0.783298, Time  0.260281
2021-09-22 21:13:31.106522 : Epoch  2, Batch    183, Loss  0.774188, Average Loss  0.783188, Time  0.253160
2021-09-22 21:13:33.403127 : Epoch  2, Batch    618, Loss  0.860516, Average Loss  0.872521, Time  0.467145
2021-09-22 21:13:35.193004 : Epoch  2, Batch    184, Loss  0.779034, Average Loss  0.783141, Time  0.291584
2021-09-22 21:13:37.095066 : Epoch  2, Batch    185, Loss  0.776258, Average Loss  0.783103, Time  0.253719
2021-09-22 21:13:38.402812 : Epoch  2, Batch    619, Loss  0.871416, Average Loss  0.872525, Time  0.420968
2021-09-22 21:13:38.984775 : Epoch  2, Batch    186, Loss  0.785563, Average Loss  0.783120, Time  0.253306
2021-09-22 21:13:40.889288 : Epoch  2, Batch    187, Loss  0.778751, Average Loss  0.783118, Time  0.253949
2021-09-22 21:13:42.784670 : Epoch  2, Batch    188, Loss  0.775197, Average Loss  0.783151, Time  0.254429
2021-09-22 21:13:43.459943 : Epoch  2, Batch    620, Loss  0.880295, Average Loss  0.872563, Time  0.420756
2021-09-22 21:13:44.686206 : Epoch  2, Batch    189, Loss  0.766445, Average Loss  0.783091, Time  0.256958
2021-09-22 21:13:46.657349 : Epoch  2, Batch    190, Loss  0.773415, Average Loss  0.783029, Time  0.327179
2021-09-22 21:13:48.483955 : Epoch  2, Batch    621, Loss  0.871759, Average Loss  0.872645, Time  0.415066
2021-09-22 21:13:48.555099 : Epoch  2, Batch    191, Loss  0.778731, Average Loss  0.783038, Time  0.253067
2021-09-22 21:13:50.463818 : Epoch  2, Batch    192, Loss  0.775093, Average Loss  0.782907, Time  0.264967
2021-09-22 21:13:52.352663 : Epoch  2, Batch    193, Loss  0.782307, Average Loss  0.782923, Time  0.255718
2021-09-22 21:13:53.502073 : Epoch  2, Batch    622, Loss  0.863840, Average Loss  0.872561, Time  0.415323
2021-09-22 21:13:54.252399 : Epoch  2, Batch    194, Loss  0.770528, Average Loss  0.782832, Time  0.254934
2021-09-22 21:13:56.160473 : Epoch  2, Batch    195, Loss  0.784712, Average Loss  0.782833, Time  0.256790
2021-09-22 21:13:58.161986 : Epoch  2, Batch    196, Loss  0.781586, Average Loss  0.782872, Time  0.330031
2021-09-22 21:13:58.492102 : Epoch  2, Batch    623, Loss  0.860356, Average Loss  0.872434, Time  0.414455
2021-09-22 21:14:00.056162 : Epoch  2, Batch    197, Loss  0.780805, Average Loss  0.782852, Time  0.252715
2021-09-22 21:14:01.968860 : Epoch  2, Batch    198, Loss  0.791059, Average Loss  0.782955, Time  0.255280
2021-09-22 21:14:03.501940 : Epoch  2, Batch    624, Loss  0.858834, Average Loss  0.872311, Time  0.414624
2021-09-22 21:14:03.878300 : Epoch  2, Batch    199, Loss  0.786355, Average Loss  0.782964, Time  0.258149
2021-09-22 21:14:05.771891 : Epoch  2, Batch    200, Loss  0.782291, Average Loss  0.783009, Time  0.256225
2021-09-22 21:14:07.664486 : Epoch  2, Batch    201, Loss  0.789504, Average Loss  0.783001, Time  0.253357
2021-09-22 21:14:08.484895 : Epoch  2, Batch    625, Loss  0.875737, Average Loss  0.872328, Time  0.415700
2021-09-22 21:14:09.643019 : Epoch  2, Batch    202, Loss  0.789434, Average Loss  0.783045, Time  0.332804
2021-09-22 21:14:11.546697 : Epoch  2, Batch    203, Loss  0.775869, Average Loss  0.783062, Time  0.255586
2021-09-22 21:14:13.451772 : Epoch  2, Batch    204, Loss  0.782076, Average Loss  0.783063, Time  0.253090
2021-09-22 21:14:13.475807 : Epoch  2, Batch    626, Loss  0.880558, Average Loss  0.872297, Time  0.415677
2021-09-22 21:14:15.342358 : Epoch  2, Batch    205, Loss  0.779544, Average Loss  0.783040, Time  0.254689
2021-09-22 21:14:16.677751 : CheckPoint: Validation Loss  0.00031612, Best Loss  0.00031612
2021-09-22 21:14:16.717442 : Best Model Updated
2021-09-22 21:14:17.240827 : Epoch  2, Batch    206, Loss  0.789374, Average Loss  0.783135, Time  0.259754
2021-09-22 21:14:18.600704 : Epoch  2, Batch    627, Loss  0.860848, Average Loss  0.872238, Time  0.463062
2021-09-22 21:14:19.143968 : Epoch  2, Batch    207, Loss  0.772757, Average Loss  0.783097, Time  0.253424
2021-09-22 21:14:19.377623 : Epoch  2, Batch    214, Loss  0.777589, Average Loss  0.778805, Time  0.260532
2021-09-22 21:14:21.102454 : Epoch  2, Batch    208, Loss  0.783082, Average Loss  0.783093, Time  0.330778
2021-09-22 21:14:21.260239 : Epoch  2, Batch    215, Loss  0.781648, Average Loss  0.778808, Time  0.293337
2021-09-22 21:14:23.166080 : Epoch  2, Batch    209, Loss  0.777862, Average Loss  0.783042, Time  0.423162
2021-09-22 21:14:23.252132 : Epoch  2, Batch    216, Loss  0.780794, Average Loss  0.778795, Time  0.384914
2021-09-22 21:14:23.597609 : Epoch  2, Batch    628, Loss  0.873431, Average Loss  0.872298, Time  0.416193
2021-09-22 21:14:25.317021 : Epoch  2, Batch    210, Loss  0.778921, Average Loss  0.783059, Time  0.500175
2021-09-22 21:14:25.350951 : Epoch  2, Batch    217, Loss  0.784158, Average Loss  0.778775, Time  0.465017
2021-09-22 21:14:27.474052 : Epoch  2, Batch    218, Loss  0.786031, Average Loss  0.778780, Time  0.517624
2021-09-22 21:14:27.507567 : Epoch  2, Batch    211, Loss  0.781823, Average Loss  0.783004, Time  0.519625
2021-09-22 21:14:28.599828 : Epoch  2, Batch    629, Loss  0.868676, Average Loss  0.872214, Time  0.414723
2021-09-22 21:14:29.588347 : Epoch  2, Batch    219, Loss  0.773031, Average Loss  0.778781, Time  0.497159
2021-09-22 21:14:29.622027 : Epoch  2, Batch    212, Loss  0.779404, Average Loss  0.782958, Time  0.466939
2021-09-22 21:14:31.463570 : Epoch  2, Batch    220, Loss  0.771485, Average Loss  0.778707, Time  0.250546
2021-09-22 21:14:33.359827 : Epoch  2, Batch    221, Loss  0.781046, Average Loss  0.778709, Time  0.252348
2021-09-22 21:14:33.579070 : Epoch  2, Batch    630, Loss  0.869322, Average Loss  0.872180, Time  0.414861
2021-09-22 21:14:33.657266 : Epoch  2, Batch    213, Loss  0.771196, Average Loss  0.782879, Time  0.264848
2021-09-22 21:14:35.243859 : Epoch  2, Batch    222, Loss  0.769555, Average Loss  0.778609, Time  0.250790
2021-09-22 21:14:37.113819 : Epoch  2, Batch    223, Loss  0.774012, Average Loss  0.778567, Time  0.249939
2021-09-22 21:14:38.559129 : Epoch  2, Batch    631, Loss  0.866945, Average Loss  0.872140, Time  0.414987
2021-09-22 21:14:39.055952 : Epoch  2, Batch    224, Loss  0.781864, Average Loss  0.778554, Time  0.324934
2021-09-22 21:14:40.936279 : Epoch  2, Batch    225, Loss  0.781681, Average Loss  0.778542, Time  0.249891
2021-09-22 21:14:42.809839 : Epoch  2, Batch    226, Loss  0.773688, Average Loss  0.778468, Time  0.251595
2021-09-22 21:14:43.555246 : Epoch  2, Batch    632, Loss  0.871921, Average Loss  0.872127, Time  0.415425
2021-09-22 21:14:44.675461 : Epoch  2, Batch    227, Loss  0.769877, Average Loss  0.778411, Time  0.250851
2021-09-22 21:14:46.555750 : Epoch  2, Batch    228, Loss  0.780605, Average Loss  0.778358, Time  0.250847
2021-09-22 21:14:48.418528 : Epoch  2, Batch    229, Loss  0.770965, Average Loss  0.778287, Time  0.250134
2021-09-22 21:14:48.556888 : Epoch  2, Batch    633, Loss  0.882589, Average Loss  0.872223, Time  0.414378
2021-09-22 21:14:50.289990 : Epoch  2, Batch    230, Loss  0.769242, Average Loss  0.778258, Time  0.249694
2021-09-22 21:14:52.159792 : Epoch  2, Batch    231, Loss  0.784856, Average Loss  0.778276, Time  0.252612
2021-09-22 21:14:53.529032 : Epoch  2, Batch    634, Loss  0.884870, Average Loss  0.872336, Time  0.413881
2021-09-22 21:14:54.120061 : Epoch  2, Batch    232, Loss  0.773876, Average Loss  0.778276, Time  0.326391
2021-09-22 21:14:55.983040 : Epoch  2, Batch    233, Loss  0.786061, Average Loss  0.778316, Time  0.251756
2021-09-22 21:14:57.850648 : Epoch  2, Batch    234, Loss  0.782173, Average Loss  0.778295, Time  0.249058
2021-09-22 21:14:58.484893 : Epoch  2, Batch    635, Loss  0.857015, Average Loss  0.872202, Time  0.413927
2021-09-22 21:14:59.721243 : Epoch  2, Batch    235, Loss  0.775338, Average Loss  0.778297, Time  0.250020
2021-09-22 21:15:01.590704 : Epoch  2, Batch    236, Loss  0.779788, Average Loss  0.778270, Time  0.252270
2021-09-22 21:15:03.463934 : Epoch  2, Batch    237, Loss  0.771509, Average Loss  0.778169, Time  0.249552
2021-09-22 21:15:03.534870 : Epoch  2, Batch    636, Loss  0.864273, Average Loss  0.872239, Time  0.457061
2021-09-22 21:15:05.334800 : Epoch  2, Batch    238, Loss  0.774168, Average Loss  0.778141, Time  0.251750
2021-09-22 21:15:07.287162 : Epoch  2, Batch    239, Loss  0.773333, Average Loss  0.778096, Time  0.323344
2021-09-22 21:15:08.535840 : Epoch  2, Batch    637, Loss  0.894066, Average Loss  0.872371, Time  0.415611
2021-09-22 21:15:09.153503 : Epoch  2, Batch    240, Loss  0.766806, Average Loss  0.778020, Time  0.252374
2021-09-22 21:15:11.008348 : Epoch  2, Batch    241, Loss  0.772795, Average Loss  0.778002, Time  0.250799
2021-09-22 21:15:12.873782 : Epoch  2, Batch    242, Loss  0.764045, Average Loss  0.777881, Time  0.250099
2021-09-22 21:15:13.553055 : Epoch  2, Batch    638, Loss  0.873215, Average Loss  0.872383, Time  0.416949
2021-09-22 21:15:14.742964 : Epoch  2, Batch    243, Loss  0.780844, Average Loss  0.777879, Time  0.257592
2021-09-22 21:15:16.608671 : Epoch  2, Batch    244, Loss  0.762898, Average Loss  0.777832, Time  0.250499
2021-09-22 21:15:18.479215 : Epoch  2, Batch    245, Loss  0.772874, Average Loss  0.777757, Time  0.252149
2021-09-22 21:15:18.623923 : Epoch  2, Batch    639, Loss  0.883599, Average Loss  0.872452, Time  0.414932
2021-09-22 21:15:20.376879 : Epoch  2, Batch    246, Loss  0.778777, Average Loss  0.777743, Time  0.253177
2021-09-22 21:15:22.330687 : Epoch  2, Batch    247, Loss  0.779345, Average Loss  0.777721, Time  0.328768
2021-09-22 21:15:23.612997 : Epoch  2, Batch    640, Loss  0.864901, Average Loss  0.872430, Time  0.414742
2021-09-22 21:15:24.216164 : Epoch  2, Batch    248, Loss  0.777230, Average Loss  0.777747, Time  0.252751
2021-09-22 21:15:26.104907 : Epoch  2, Batch    249, Loss  0.767824, Average Loss  0.777747, Time  0.249763
2021-09-22 21:15:27.984770 : Epoch  2, Batch    250, Loss  0.768196, Average Loss  0.777666, Time  0.250105
2021-09-22 21:15:28.635098 : Epoch  2, Batch    641, Loss  0.878889, Average Loss  0.872473, Time  0.415756
2021-09-22 21:15:29.860293 : Epoch  2, Batch    251, Loss  0.768796, Average Loss  0.777627, Time  0.249611
2021-09-22 21:15:31.738151 : Epoch  2, Batch    252, Loss  0.774470, Average Loss  0.777597, Time  0.250757
2021-09-22 21:15:33.607360 : Epoch  2, Batch    253, Loss  0.762933, Average Loss  0.777565, Time  0.249522
2021-09-22 21:15:33.633107 : Epoch  2, Batch    642, Loss  0.866584, Average Loss  0.872394, Time  0.414683
2021-09-22 21:15:35.557877 : Epoch  2, Batch    254, Loss  0.782566, Average Loss  0.777585, Time  0.310885
2021-09-22 21:15:37.429574 : Epoch  2, Batch    255, Loss  0.766609, Average Loss  0.777464, Time  0.251871
2021-09-22 21:15:38.646834 : Epoch  2, Batch    643, Loss  0.888844, Average Loss  0.872528, Time  0.415168
2021-09-22 21:15:39.312498 : Epoch  2, Batch    256, Loss  0.779249, Average Loss  0.777467, Time  0.250454
2021-09-22 21:15:41.213772 : Epoch  2, Batch    257, Loss  0.783507, Average Loss  0.777471, Time  0.250491
2021-09-22 21:15:43.093948 : Epoch  2, Batch    258, Loss  0.779290, Average Loss  0.777442, Time  0.250254
2021-09-22 21:15:43.647962 : Epoch  2, Batch    644, Loss  0.871916, Average Loss  0.872561, Time  0.414820
2021-09-22 21:15:44.390522 : CheckPoint: Validation Loss  0.00033136, Best Loss  0.00032209
2021-09-22 21:15:44.965886 : Epoch  2, Batch    259, Loss  0.776258, Average Loss  0.777441, Time  0.251058
2021-09-22 21:15:46.291156 : Epoch  2, Batch    214, Loss  0.787004, Average Loss  0.782852, Time  0.254986
2021-09-22 21:15:46.856110 : Epoch  2, Batch    260, Loss  0.773957, Average Loss  0.777412, Time  0.250118
2021-09-22 21:15:48.201429 : Epoch  2, Batch    215, Loss  0.781063, Average Loss  0.782815, Time  0.253513
2021-09-22 21:15:48.677871 : Epoch  2, Batch    645, Loss  0.880918, Average Loss  0.872629, Time  0.457085
2021-09-22 21:15:48.738563 : Epoch  2, Batch    261, Loss  0.773016, Average Loss  0.777369, Time  0.249920
2021-09-22 21:15:50.100535 : Epoch  2, Batch    216, Loss  0.782281, Average Loss  0.782846, Time  0.260138
2021-09-22 21:15:50.610297 : Epoch  2, Batch    262, Loss  0.775617, Average Loss  0.777387, Time  0.249661
2021-09-22 21:15:52.004445 : Epoch  2, Batch    217, Loss  0.781065, Average Loss  0.782885, Time  0.253622
2021-09-22 21:15:52.475838 : Epoch  2, Batch    263, Loss  0.782683, Average Loss  0.777370, Time  0.252497
2021-09-22 21:15:53.667159 : Epoch  2, Batch    646, Loss  0.870799, Average Loss  0.872727, Time  0.414639
2021-09-22 21:15:53.900733 : Epoch  2, Batch    218, Loss  0.786706, Average Loss  0.782896, Time  0.254562
2021-09-22 21:15:54.351799 : Epoch  2, Batch    264, Loss  0.775754, Average Loss  0.777378, Time  0.249797
2021-09-22 21:15:55.794062 : Epoch  2, Batch    219, Loss  0.780903, Average Loss  0.782890, Time  0.257260
2021-09-22 21:15:56.230532 : Epoch  2, Batch    265, Loss  0.788336, Average Loss  0.777442, Time  0.255122
2021-09-22 21:15:57.700009 : Epoch  2, Batch    220, Loss  0.784016, Average Loss  0.782936, Time  0.262976
2021-09-22 21:15:58.107804 : Epoch  2, Batch    266, Loss  0.766888, Average Loss  0.777375, Time  0.251200
2021-09-22 21:15:58.653437 : Epoch  2, Batch    647, Loss  0.886986, Average Loss  0.872795, Time  0.414217
2021-09-22 21:15:59.594338 : Epoch  2, Batch    221, Loss  0.779447, Average Loss  0.782937, Time  0.257727
2021-09-22 21:15:59.968343 : Epoch  2, Batch    267, Loss  0.776325, Average Loss  0.777406, Time  0.250250
2021-09-22 21:16:01.484862 : Epoch  2, Batch    222, Loss  0.774450, Average Loss  0.782919, Time  0.254484
2021-09-22 21:16:01.826276 : Epoch  2, Batch    268, Loss  0.777024, Average Loss  0.777394, Time  0.250658
2021-09-22 21:16:03.391707 : Epoch  2, Batch    223, Loss  0.775744, Average Loss  0.782892, Time  0.252961
2021-09-22 21:16:03.647002 : Epoch  2, Batch    648, Loss  0.866282, Average Loss  0.872704, Time  0.414683
2021-09-22 21:16:03.693053 : Epoch  2, Batch    269, Loss  0.785306, Average Loss  0.777441, Time  0.250955
2021-09-22 21:16:05.291727 : Epoch  2, Batch    224, Loss  0.786933, Average Loss  0.782903, Time  0.254679
2021-09-22 21:16:05.558535 : Epoch  2, Batch    270, Loss  0.776322, Average Loss  0.777385, Time  0.255292
2021-09-22 21:16:07.190883 : Epoch  2, Batch    225, Loss  0.773879, Average Loss  0.782823, Time  0.255143
2021-09-22 21:16:07.428836 : Epoch  2, Batch    271, Loss  0.779513, Average Loss  0.777382, Time  0.259199
2021-09-22 21:16:08.631204 : Epoch  2, Batch    649, Loss  0.865648, Average Loss  0.872726, Time  0.414691
2021-09-22 21:16:09.148901 : Epoch  2, Batch    226, Loss  0.783354, Average Loss  0.782816, Time  0.306910
2021-09-22 21:16:09.333446 : Epoch  2, Batch    272, Loss  0.774327, Average Loss  0.777315, Time  0.280791
2021-09-22 21:16:11.119719 : Epoch  2, Batch    227, Loss  0.788257, Average Loss  0.782871, Time  0.349257
2021-09-22 21:16:11.264645 : Epoch  2, Batch    273, Loss  0.773152, Average Loss  0.777205, Time  0.313503
2021-09-22 21:16:13.186918 : Epoch  2, Batch    228, Loss  0.784205, Average Loss  0.782827, Time  0.430628
2021-09-22 21:16:13.268050 : Epoch  2, Batch    274, Loss  0.784851, Average Loss  0.777202, Time  0.390008
2021-09-22 21:16:13.631300 : Epoch  2, Batch    650, Loss  0.871958, Average Loss  0.872684, Time  0.416361
2021-09-22 21:16:15.302537 : Epoch  2, Batch    229, Loss  0.786400, Average Loss  0.782855, Time  0.482703
2021-09-22 21:16:15.346185 : Epoch  2, Batch    275, Loss  0.782041, Average Loss  0.777254, Time  0.444543
2021-09-22 21:16:17.458396 : Epoch  2, Batch    230, Loss  0.786399, Average Loss  0.782865, Time  0.515813
2021-09-22 21:16:17.488340 : Epoch  2, Batch    276, Loss  0.770267, Average Loss  0.777134, Time  0.494141
2021-09-22 21:16:18.668170 : Epoch  2, Batch    651, Loss  0.857333, Average Loss  0.872562, Time  0.415564
2021-09-22 21:16:19.616690 : Epoch  2, Batch    277, Loss  0.769349, Average Loss  0.777089, Time  0.509616
2021-09-22 21:16:19.644901 : Epoch  2, Batch    231, Loss  0.778669, Average Loss  0.782771, Time  0.493007
2021-09-22 21:16:21.732345 : Epoch  2, Batch    278, Loss  0.784859, Average Loss  0.777090, Time  0.496311
2021-09-22 21:16:21.759391 : Epoch  2, Batch    232, Loss  0.775087, Average Loss  0.782691, Time  0.465895
2021-09-22 21:16:23.666912 : Epoch  2, Batch    652, Loss  0.863127, Average Loss  0.872413, Time  0.414993
2021-09-22 21:16:23.844828 : Epoch  2, Batch    279, Loss  0.770940, Average Loss  0.777108, Time  0.497025
2021-09-22 21:16:23.873661 : Epoch  2, Batch    233, Loss  0.775503, Average Loss  0.782642, Time  0.466863
2021-09-22 21:16:25.963532 : Epoch  2, Batch    280, Loss  0.778854, Average Loss  0.777170, Time  0.499625
2021-09-22 21:16:25.999893 : Epoch  2, Batch    234, Loss  0.782406, Average Loss  0.782662, Time  0.473492
2021-09-22 21:16:28.083515 : Epoch  2, Batch    281, Loss  0.759720, Average Loss  0.777097, Time  0.495960
2021-09-22 21:16:28.121290 : Epoch  2, Batch    235, Loss  0.785083, Average Loss  0.782620, Time  0.466515
2021-09-22 21:16:28.634113 : Epoch  2, Batch    653, Loss  0.872912, Average Loss  0.872348, Time  0.413594
2021-09-22 21:16:30.211429 : Epoch  2, Batch    282, Loss  0.777810, Average Loss  0.777166, Time  0.500867
2021-09-22 21:16:30.243962 : Epoch  2, Batch    236, Loss  0.779552, Average Loss  0.782624, Time  0.475892
2021-09-22 21:16:32.322822 : Epoch  2, Batch    283, Loss  0.790317, Average Loss  0.777223, Time  0.495226
2021-09-22 21:16:32.350690 : Epoch  2, Batch    237, Loss  0.776569, Average Loss  0.782619, Time  0.467973
2021-09-22 21:16:33.667092 : Epoch  2, Batch    654, Loss  0.875725, Average Loss  0.872402, Time  0.462141
2021-09-22 21:16:34.261957 : Epoch  2, Batch    238, Loss  0.774919, Average Loss  0.782590, Time  0.255356
2021-09-22 21:16:36.172997 : Epoch  2, Batch    239, Loss  0.786961, Average Loss  0.782596, Time  0.254585
2021-09-22 21:16:36.417601 : Epoch  2, Batch    284, Loss  0.773351, Average Loss  0.777189, Time  0.251087
2021-09-22 21:16:38.167179 : Epoch  2, Batch    240, Loss  0.783996, Average Loss  0.782551, Time  0.325274
2021-09-22 21:16:38.311518 : Epoch  2, Batch    285, Loss  0.775016, Average Loss  0.777152, Time  0.290750
2021-09-22 21:16:38.695263 : Epoch  2, Batch    655, Loss  0.868353, Average Loss  0.872327, Time  0.415429
2021-09-22 21:16:40.241870 : Epoch  2, Batch    241, Loss  0.773294, Average Loss  0.782509, Time  0.432187
2021-09-22 21:16:40.321621 : Epoch  2, Batch    286, Loss  0.772047, Average Loss  0.777124, Time  0.392847
2021-09-22 21:16:42.328410 : Epoch  2, Batch    242, Loss  0.787882, Average Loss  0.782520, Time  0.447629
2021-09-22 21:16:42.399212 : Epoch  2, Batch    287, Loss  0.774417, Average Loss  0.777126, Time  0.411281
2021-09-22 21:16:43.689860 : Epoch  2, Batch    656, Loss  0.870964, Average Loss  0.872307, Time  0.413188
2021-09-22 21:16:44.464269 : Epoch  2, Batch    243, Loss  0.787454, Average Loss  0.782540, Time  0.497794
2021-09-22 21:16:44.498675 : Epoch  2, Batch    288, Loss  0.780893, Average Loss  0.777182, Time  0.457502
2021-09-22 21:16:46.627171 : Epoch  2, Batch    244, Loss  0.783505, Average Loss  0.782540, Time  0.520157
2021-09-22 21:16:46.656979 : Epoch  2, Batch    289, Loss  0.778183, Average Loss  0.777174, Time  0.511111
2021-09-22 21:16:48.639108 : Epoch  2, Batch    657, Loss  0.881588, Average Loss  0.872379, Time  0.412994
2021-09-22 21:16:48.779679 : Epoch  2, Batch    245, Loss  0.787511, Average Loss  0.782526, Time  0.515560
2021-09-22 21:16:48.804005 : Epoch  2, Batch    290, Loss  0.773187, Average Loss  0.777128, Time  0.498573
2021-09-22 21:16:50.925639 : Epoch  2, Batch    246, Loss  0.777172, Average Loss  0.782454, Time  0.517638
2021-09-22 21:16:50.960881 : Epoch  2, Batch    291, Loss  0.775068, Average Loss  0.777142, Time  0.500163
2021-09-22 21:16:51.129987 : Epoch  2, Batch    292, Loss  0.924869, Average Loss  0.777841, Time  0.121208
2021-09-22 21:16:52.917926 : Epoch  2, Batch    247, Loss  0.783594, Average Loss  0.782437, Time  0.350622
2021-09-22 21:16:53.060317 : Epoch  2, Batch    293, Loss  0.797327, Average Loss  0.777939, Time  0.315122
2021-09-22 21:16:53.599997 : Epoch  2, Batch    658, Loss  0.865322, Average Loss  0.872352, Time  0.413632
2021-09-22 21:16:54.996848 : Epoch  2, Batch    248, Loss  0.775198, Average Loss  0.782357, Time  0.443962
2021-09-22 21:16:55.069833 : Epoch  2, Batch    294, Loss  0.828299, Average Loss  0.778196, Time  0.407006
2021-09-22 21:16:57.118742 : Epoch  2, Batch    249, Loss  0.777802, Average Loss  0.782285, Time  0.500003
2021-09-22 21:16:57.146607 : Epoch  2, Batch    295, Loss  0.826066, Average Loss  0.778412, Time  0.458931
2021-09-22 21:16:58.570748 : Epoch  2, Batch    659, Loss  0.871944, Average Loss  0.872390, Time  0.413672
2021-09-22 21:16:59.282905 : Epoch  2, Batch    296, Loss  0.811126, Average Loss  0.778582, Time  0.522103
2021-09-22 21:16:59.326974 : Epoch  2, Batch    250, Loss  0.780506, Average Loss  0.782261, Time  0.530955
2021-09-22 21:17:01.376457 : Epoch  2, Batch    297, Loss  0.802312, Average Loss  0.778692, Time  0.478808
2021-09-22 21:17:01.420853 : Epoch  2, Batch    251, Loss  0.782782, Average Loss  0.782248, Time  0.445755
2021-09-22 21:17:03.448918 : Epoch  2, Batch    298, Loss  0.811086, Average Loss  0.778845, Time  0.471658
2021-09-22 21:17:03.496694 : Epoch  2, Batch    252, Loss  0.782327, Average Loss  0.782207, Time  0.435761
2021-09-22 21:17:03.530457 : Epoch  2, Batch    660, Loss  0.889631, Average Loss  0.872510, Time  0.413344
2021-09-22 21:17:05.537207 : Epoch  2, Batch    299, Loss  0.810120, Average Loss  0.778949, Time  0.482560
2021-09-22 21:17:05.577708 : Epoch  2, Batch    253, Loss  0.780410, Average Loss  0.782185, Time  0.451284
2021-09-22 21:17:07.635451 : Epoch  2, Batch    300, Loss  0.802745, Average Loss  0.779060, Time  0.490742
2021-09-22 21:17:07.712992 : Epoch  2, Batch    254, Loss  0.781220, Average Loss  0.782168, Time  0.456614
2021-09-22 21:17:08.495104 : Epoch  2, Batch    661, Loss  0.874072, Average Loss  0.872558, Time  0.412978
2021-09-22 21:17:09.793744 : Epoch  2, Batch    301, Loss  0.808738, Average Loss  0.779195, Time  0.482335
2021-09-22 21:17:09.836068 : Epoch  2, Batch    255, Loss  0.778480, Average Loss  0.782089, Time  0.454157
2021-09-22 21:17:11.883952 : Epoch  2, Batch    302, Loss  0.795875, Average Loss  0.779296, Time  0.481624
2021-09-22 21:17:11.929051 : Epoch  2, Batch    256, Loss  0.780506, Average Loss  0.782019, Time  0.452023
2021-09-22 21:17:13.462054 : Epoch  2, Batch    662, Loss  0.873274, Average Loss  0.872620, Time  0.413585
2021-09-22 21:17:13.994361 : Epoch  2, Batch    303, Loss  0.798244, Average Loss  0.779403, Time  0.489667
2021-09-22 21:17:14.042375 : Epoch  2, Batch    257, Loss  0.781590, Average Loss  0.782015, Time  0.458522
2021-09-22 21:17:16.078073 : Epoch  2, Batch    304, Loss  0.800433, Average Loss  0.779520, Time  0.468832
2021-09-22 21:17:16.127966 : Epoch  2, Batch    258, Loss  0.783003, Average Loss  0.782005, Time  0.438845
2021-09-22 21:17:18.172259 : Epoch  2, Batch    305, Loss  0.800730, Average Loss  0.779645, Time  0.462169
2021-09-22 21:17:18.229925 : Epoch  2, Batch    259, Loss  0.783381, Average Loss  0.782071, Time  0.434045
2021-09-22 21:17:18.487533 : Epoch  2, Batch    663, Loss  0.870748, Average Loss  0.872576, Time  0.466805
2021-09-22 21:17:20.227007 : Epoch  2, Batch    306, Loss  0.793709, Average Loss  0.779697, Time  0.435471
2021-09-22 21:17:20.305907 : Epoch  2, Batch    260, Loss  0.781453, Average Loss  0.782069, Time  0.408553
2021-09-22 21:17:22.315693 : Epoch  2, Batch    307, Loss  0.794843, Average Loss  0.779791, Time  0.453035
2021-09-22 21:17:22.379884 : Epoch  2, Batch    261, Loss  0.783620, Average Loss  0.782102, Time  0.421992
2021-09-22 21:17:23.452145 : Epoch  2, Batch    664, Loss  0.872304, Average Loss  0.872629, Time  0.421046
2021-09-22 21:17:24.419761 : Epoch  2, Batch    308, Loss  0.798541, Average Loss  0.779811, Time  0.478810
2021-09-22 21:17:24.467372 : Epoch  2, Batch    262, Loss  0.783751, Average Loss  0.782110, Time  0.438635
2021-09-22 21:17:26.510771 : Epoch  2, Batch    309, Loss  0.795163, Average Loss  0.779899, Time  0.472632
2021-09-22 21:17:26.557367 : Epoch  2, Batch    263, Loss  0.778950, Average Loss  0.782090, Time  0.441810
2021-09-22 21:17:28.422048 : Epoch  2, Batch    665, Loss  0.884213, Average Loss  0.872726, Time  0.414139
2021-09-22 21:17:28.589292 : Epoch  2, Batch    310, Loss  0.787606, Average Loss  0.779957, Time  0.460497
2021-09-22 21:17:28.648346 : Epoch  2, Batch    264, Loss  0.780922, Average Loss  0.782063, Time  0.429221
2021-09-22 21:17:30.649143 : Epoch  2, Batch    311, Loss  0.789187, Average Loss  0.780024, Time  0.439870
2021-09-22 21:17:30.724508 : Epoch  2, Batch    265, Loss  0.781779, Average Loss  0.782021, Time  0.411506
2021-09-22 21:17:32.694990 : Epoch  2, Batch    312, Loss  0.793791, Average Loss  0.780090, Time  0.417267
2021-09-22 21:17:32.786465 : Epoch  2, Batch    266, Loss  0.784054, Average Loss  0.781988, Time  0.390770
2021-09-22 21:17:33.387109 : Epoch  2, Batch    666, Loss  0.888120, Average Loss  0.872806, Time  0.414433
2021-09-22 21:17:34.742246 : Epoch  2, Batch    313, Loss  0.789072, Average Loss  0.780174, Time  0.418344
2021-09-22 21:17:34.843302 : Epoch  2, Batch    267, Loss  0.770215, Average Loss  0.781896, Time  0.388123
2021-09-22 21:17:36.747072 : Epoch  2, Batch    268, Loss  0.772643, Average Loss  0.781769, Time  0.255771
2021-09-22 21:17:38.401878 : Epoch  2, Batch    667, Loss  0.879698, Average Loss  0.872834, Time  0.414683
2021-09-22 21:17:38.655397 : Epoch  2, Batch    269, Loss  0.777774, Average Loss  0.781793, Time  0.255412
2021-09-22 21:17:40.610517 : Epoch  2, Batch    270, Loss  0.775084, Average Loss  0.781716, Time  0.297713
2021-09-22 21:17:42.518517 : Epoch  2, Batch    271, Loss  0.784994, Average Loss  0.781748, Time  0.254206
2021-09-22 21:17:43.378380 : Epoch  2, Batch    668, Loss  0.873547, Average Loss  0.872844, Time  0.414538
2021-09-22 21:17:44.435674 : Epoch  2, Batch    272, Loss  0.781675, Average Loss  0.781786, Time  0.254877
2021-09-22 21:17:46.340450 : Epoch  2, Batch    273, Loss  0.778632, Average Loss  0.781753, Time  0.253160
2021-09-22 21:17:48.245111 : Epoch  2, Batch    274, Loss  0.775182, Average Loss  0.781737, Time  0.253267
2021-09-22 21:17:48.350728 : Epoch  2, Batch    669, Loss  0.868779, Average Loss  0.872826, Time  0.413309
2021-09-22 21:17:50.158089 : Epoch  2, Batch    275, Loss  0.775115, Average Loss  0.781697, Time  0.255856
2021-09-22 21:17:52.140685 : Epoch  2, Batch    276, Loss  0.765378, Average Loss  0.781574, Time  0.325632
2021-09-22 21:17:53.319824 : Epoch  2, Batch    670, Loss  0.876278, Average Loss  0.872900, Time  0.414561
2021-09-22 21:17:54.049631 : Epoch  2, Batch    277, Loss  0.784643, Average Loss  0.781562, Time  0.257627
2021-09-22 21:17:55.953599 : Epoch  2, Batch    278, Loss  0.794730, Average Loss  0.781598, Time  0.254003
2021-09-22 21:17:57.862830 : Epoch  2, Batch    279, Loss  0.782445, Average Loss  0.781584, Time  0.253863
2021-09-22 21:17:58.295765 : Epoch  2, Batch    671, Loss  0.880497, Average Loss  0.872941, Time  0.414218
2021-09-22 21:17:59.759713 : Epoch  2, Batch    280, Loss  0.778472, Average Loss  0.781585, Time  0.253197
2021-09-22 21:18:01.656102 : Epoch  2, Batch    281, Loss  0.766385, Average Loss  0.781570, Time  0.256004
2021-09-22 21:18:03.305996 : Epoch  2, Batch    672, Loss  0.890439, Average Loss  0.873067, Time  0.464835
2021-09-22 21:18:03.633908 : Epoch  2, Batch    282, Loss  0.783356, Average Loss  0.781617, Time  0.328600
2021-09-22 21:18:05.527183 : Epoch  2, Batch    283, Loss  0.780221, Average Loss  0.781621, Time  0.254537
2021-09-22 21:18:09.695883 : Epoch  2, Batch    284, Loss  0.779348, Average Loss  0.781580, Time  0.253156
2021-09-22 21:18:11.619396 : Epoch  2, Batch    285, Loss  0.774459, Average Loss  0.781537, Time  0.253700
2021-09-22 21:18:13.619019 : Epoch  2, Batch    286, Loss  0.784283, Average Loss  0.781555, Time  0.330193
2021-09-22 21:18:15.528863 : Epoch  2, Batch    287, Loss  0.784050, Average Loss  0.781547, Time  0.254359
2021-09-22 21:18:17.462443 : Epoch  2, Batch    288, Loss  0.772668, Average Loss  0.781509, Time  0.253404
2021-09-22 21:18:19.378825 : Epoch  2, Batch    289, Loss  0.774546, Average Loss  0.781457, Time  0.254717
2021-09-22 21:18:21.292713 : Epoch  2, Batch    290, Loss  0.779875, Average Loss  0.781505, Time  0.255863
2021-09-22 21:18:23.235387 : Epoch  2, Batch    291, Loss  0.788836, Average Loss  0.781557, Time  0.257329
2021-09-22 21:18:25.169056 : Epoch  2, Batch    292, Loss  0.786430, Average Loss  0.781526, Time  0.273365
2021-09-22 21:18:27.095010 : Epoch  2, Batch    293, Loss  0.780033, Average Loss  0.781499, Time  0.261322
2021-09-22 21:18:29.034395 : Epoch  2, Batch    294, Loss  0.778436, Average Loss  0.781446, Time  0.259004
2021-09-22 21:18:30.951144 : Epoch  2, Batch    295, Loss  0.784349, Average Loss  0.781466, Time  0.254017
2021-09-22 21:18:32.877099 : Epoch  2, Batch    296, Loss  0.786384, Average Loss  0.781527, Time  0.254328
2021-09-22 21:18:34.873337 : Epoch  2, Batch    297, Loss  0.783807, Average Loss  0.781499, Time  0.331916
2021-09-22 21:18:36.794508 : Epoch  2, Batch    298, Loss  0.774648, Average Loss  0.781474, Time  0.257895
2021-09-22 21:18:38.737453 : Epoch  2, Batch    299, Loss  0.789233, Average Loss  0.781502, Time  0.253370
2021-09-22 21:18:40.674780 : Epoch  2, Batch    300, Loss  0.771931, Average Loss  0.781409, Time  0.257215
2021-09-22 21:18:42.594212 : Epoch  2, Batch    301, Loss  0.779864, Average Loss  0.781408, Time  0.252668
2021-09-22 21:18:44.506165 : Epoch  2, Batch    302, Loss  0.782063, Average Loss  0.781399, Time  0.253906
2021-09-22 21:18:45.157266 : CheckPoint: Validation Loss  0.00033557, Best Loss  0.00031612
2021-09-22 21:18:46.422083 : Epoch  2, Batch    303, Loss  0.789026, Average Loss  0.781413, Time  0.254248
2021-09-22 21:18:47.018930 : Epoch  2, Batch    314, Loss  0.791654, Average Loss  0.780249, Time  0.250016
2021-09-22 21:18:48.331710 : Epoch  2, Batch    304, Loss  0.782911, Average Loss  0.781387, Time  0.254596
2021-09-22 21:18:48.888842 : Epoch  2, Batch    315, Loss  0.791482, Average Loss  0.780305, Time  0.248958
2021-09-22 21:18:50.255060 : Epoch  2, Batch    305, Loss  0.774814, Average Loss  0.781345, Time  0.254253
2021-09-22 21:18:50.753276 : Epoch  2, Batch    316, Loss  0.792632, Average Loss  0.780358, Time  0.249301
2021-09-22 21:18:52.156014 : Epoch  2, Batch    306, Loss  0.777617, Average Loss  0.781290, Time  0.253023
2021-09-22 21:18:52.609661 : Epoch  2, Batch    317, Loss  0.790439, Average Loss  0.780434, Time  0.252099
2021-09-22 21:18:54.064983 : Epoch  2, Batch    307, Loss  0.773340, Average Loss  0.781253, Time  0.252625
2021-09-22 21:18:54.487808 : Epoch  2, Batch    318, Loss  0.797583, Average Loss  0.780527, Time  0.251091
2021-09-22 21:18:55.973907 : Epoch  2, Batch    308, Loss  0.786146, Average Loss  0.781250, Time  0.253114
2021-09-22 21:18:56.372834 : Epoch  2, Batch    319, Loss  0.810134, Average Loss  0.780696, Time  0.252417
2021-09-22 21:18:57.901829 : Epoch  2, Batch    309, Loss  0.786819, Average Loss  0.781233, Time  0.254015
2021-09-22 21:18:58.291394 : Epoch  2, Batch    320, Loss  0.778277, Average Loss  0.780681, Time  0.249967
2021-09-22 21:18:59.853260 : Epoch  2, Batch    310, Loss  0.771814, Average Loss  0.781160, Time  0.254035
2021-09-22 21:19:00.164831 : Epoch  2, Batch    321, Loss  0.785560, Average Loss  0.780753, Time  0.250382
2021-09-22 21:19:01.771869 : Epoch  2, Batch    311, Loss  0.776655, Average Loss  0.781140, Time  0.255684
2021-09-22 21:19:02.029249 : Epoch  2, Batch    322, Loss  0.792007, Average Loss  0.780806, Time  0.250218
2021-09-22 21:19:03.698624 : Epoch  2, Batch    312, Loss  0.778801, Average Loss  0.781116, Time  0.257022
2021-09-22 21:19:03.915402 : Epoch  2, Batch    323, Loss  0.798088, Average Loss  0.780846, Time  0.265448
2021-09-22 21:19:05.697157 : Epoch  2, Batch    313, Loss  0.769728, Average Loss  0.781120, Time  0.339256
2021-09-22 21:19:05.846041 : Epoch  2, Batch    324, Loss  0.789388, Average Loss  0.780897, Time  0.307495
2021-09-22 21:19:07.711876 : Epoch  2, Batch    325, Loss  0.792410, Average Loss  0.780964, Time  0.253175
2021-09-22 21:19:09.645352 : Epoch  2, Batch    326, Loss  0.789594, Average Loss  0.781012, Time  0.311811
2021-09-22 21:19:11.538946 : Epoch  2, Batch    327, Loss  0.795737, Average Loss  0.781115, Time  0.257565
2021-09-22 21:19:13.400758 : Epoch  2, Batch    328, Loss  0.787322, Average Loss  0.781127, Time  0.250475
2021-09-22 21:19:15.274036 : Epoch  2, Batch    329, Loss  0.792586, Average Loss  0.781174, Time  0.250756
2021-09-22 21:19:17.153726 : Epoch  2, Batch    330, Loss  0.781289, Average Loss  0.781179, Time  0.250458
2021-09-22 21:19:19.022186 : Epoch  2, Batch    331, Loss  0.789496, Average Loss  0.781193, Time  0.248957
2021-09-22 21:19:20.900423 : Epoch  2, Batch    332, Loss  0.795449, Average Loss  0.781258, Time  0.250683
2021-09-22 21:19:22.769778 : Epoch  2, Batch    333, Loss  0.787192, Average Loss  0.781330, Time  0.249212
2021-09-22 21:19:24.726440 : Epoch  2, Batch    334, Loss  0.776589, Average Loss  0.781331, Time  0.325597
2021-09-22 21:19:26.640848 : Epoch  2, Batch    335, Loss  0.789008, Average Loss  0.781385, Time  0.249796
2021-09-22 21:19:28.530668 : Epoch  2, Batch    336, Loss  0.779385, Average Loss  0.781420, Time  0.252086
2021-09-22 21:19:30.391357 : Epoch  2, Batch    337, Loss  0.788574, Average Loss  0.781479, Time  0.249458
2021-09-22 21:19:32.279016 : Epoch  2, Batch    338, Loss  0.785732, Average Loss  0.781498, Time  0.250755
2021-09-22 21:19:34.148651 : Epoch  2, Batch    339, Loss  0.768737, Average Loss  0.781475, Time  0.250482
2021-09-22 21:19:36.029456 : Epoch  2, Batch    340, Loss  0.782554, Average Loss  0.781500, Time  0.249291
2021-09-22 21:19:37.892288 : Epoch  2, Batch    341, Loss  0.778464, Average Loss  0.781519, Time  0.250311
2021-09-22 21:19:39.841823 : Epoch  2, Batch    342, Loss  0.785932, Average Loss  0.781542, Time  0.328582
2021-09-22 21:19:41.714832 : Epoch  2, Batch    343, Loss  0.789323, Average Loss  0.781603, Time  0.250739
2021-09-22 21:19:43.584713 : Epoch  2, Batch    344, Loss  0.783147, Average Loss  0.781606, Time  0.253247
2021-09-22 21:19:45.454257 : Epoch  2, Batch    345, Loss  0.786338, Average Loss  0.781685, Time  0.250963
2021-09-22 21:19:47.325885 : Epoch  2, Batch    346, Loss  0.788897, Average Loss  0.781818, Time  0.249471
2021-09-22 21:19:49.197800 : Epoch  2, Batch    347, Loss  0.784011, Average Loss  0.781784, Time  0.252082
2021-09-22 21:19:51.068020 : Epoch  2, Batch    348, Loss  0.785613, Average Loss  0.781768, Time  0.250196
2021-09-22 21:19:52.953783 : Epoch  2, Batch    349, Loss  0.778797, Average Loss  0.781769, Time  0.250413
2021-09-22 21:19:54.807177 : Epoch  2, Batch    350, Loss  0.773866, Average Loss  0.781755, Time  0.249620
2021-09-22 21:19:56.748536 : Epoch  2, Batch    351, Loss  0.785628, Average Loss  0.781764, Time  0.327861
2021-09-22 21:19:58.615416 : Epoch  2, Batch    352, Loss  0.766084, Average Loss  0.781743, Time  0.251860
2021-09-22 21:20:00.481940 : Epoch  2, Batch    353, Loss  0.773795, Average Loss  0.781698, Time  0.250238
2021-09-22 21:20:02.359900 : Epoch  2, Batch    354, Loss  0.773320, Average Loss  0.781635, Time  0.250656
2021-09-22 21:20:04.244701 : Epoch  2, Batch    355, Loss  0.787248, Average Loss  0.781720, Time  0.250600
2021-09-22 21:20:06.125204 : Epoch  2, Batch    356, Loss  0.765142, Average Loss  0.781686, Time  0.255074
2021-09-22 21:20:08.001496 : Epoch  2, Batch    357, Loss  0.774526, Average Loss  0.781745, Time  0.248985
2021-09-22 21:20:09.879564 : Epoch  2, Batch    358, Loss  0.774916, Average Loss  0.781710, Time  0.255918
2021-09-22 21:20:11.818187 : Epoch  2, Batch    359, Loss  0.770611, Average Loss  0.781649, Time  0.324773
2021-09-22 21:20:13.687124 : Epoch  2, Batch    360, Loss  0.784453, Average Loss  0.781735, Time  0.251605
2021-09-22 21:20:15.574444 : Epoch  2, Batch    361, Loss  0.776446, Average Loss  0.781641, Time  0.252341
2021-09-22 21:20:17.298247 : CheckPoint: Validation Loss  0.00032549, Best Loss  0.00032209
2021-09-22 21:20:17.484930 : Epoch  2, Batch    362, Loss  0.783203, Average Loss  0.781696, Time  0.286375
2021-09-22 21:20:19.346633 : Epoch  2, Batch    314, Loss  0.768464, Average Loss  0.781029, Time  0.402648
2021-09-22 21:20:19.453929 : Epoch  2, Batch    363, Loss  0.772169, Average Loss  0.781714, Time  0.358356
2021-09-22 21:20:21.489864 : Epoch  2, Batch    315, Loss  0.789395, Average Loss  0.781046, Time  0.493738
2021-09-22 21:20:21.518298 : Epoch  2, Batch    364, Loss  0.786374, Average Loss  0.781776, Time  0.452307
2021-09-22 21:20:23.641022 : Epoch  2, Batch    316, Loss  0.784268, Average Loss  0.781115, Time  0.517875
2021-09-22 21:20:23.671827 : Epoch  2, Batch    365, Loss  0.777773, Average Loss  0.781750, Time  0.508850
2021-09-22 21:20:25.797253 : Epoch  2, Batch    317, Loss  0.777028, Average Loss  0.781088, Time  0.515715
2021-09-22 21:20:25.828947 : Epoch  2, Batch    366, Loss  0.790496, Average Loss  0.781856, Time  0.496611
2021-09-22 21:20:27.965490 : Epoch  2, Batch    318, Loss  0.785245, Average Loss  0.781149, Time  0.518342
2021-09-22 21:20:27.993428 : Epoch  2, Batch    367, Loss  0.764894, Average Loss  0.781772, Time  0.507396
2021-09-22 21:20:30.116845 : Epoch  2, Batch    368, Loss  0.776232, Average Loss  0.781819, Time  0.507447
2021-09-22 21:20:30.146043 : Epoch  2, Batch    319, Loss  0.758373, Average Loss  0.781009, Time  0.489752
2021-09-22 21:20:32.277547 : Epoch  2, Batch    369, Loss  0.772694, Average Loss  0.781800, Time  0.515533
2021-09-22 21:20:32.309311 : Epoch  2, Batch    320, Loss  0.767848, Average Loss  0.780972, Time  0.509705
2021-09-22 21:20:34.384176 : Epoch  2, Batch    370, Loss  0.783332, Average Loss  0.781889, Time  0.497351
2021-09-22 21:20:34.408865 : Epoch  2, Batch    321, Loss  0.779377, Average Loss  0.780960, Time  0.468871
2021-09-22 21:20:36.475991 : Epoch  2, Batch    371, Loss  0.772550, Average Loss  0.781911, Time  0.491245
2021-09-22 21:20:36.507243 : Epoch  2, Batch    322, Loss  0.778977, Average Loss  0.780941, Time  0.457279
2021-09-22 21:20:38.637014 : Epoch  2, Batch    372, Loss  0.778104, Average Loss  0.781872, Time  0.517270
2021-09-22 21:20:38.665025 : Epoch  2, Batch    323, Loss  0.774301, Average Loss  0.780887, Time  0.505705
2021-09-22 21:20:40.737514 : Epoch  2, Batch    373, Loss  0.789183, Average Loss  0.781928, Time  0.496787
2021-09-22 21:20:40.771733 : Epoch  2, Batch    324, Loss  0.795552, Average Loss  0.780979, Time  0.470098
2021-09-22 21:20:42.850797 : Epoch  2, Batch    374, Loss  0.776236, Average Loss  0.781946, Time  0.489980
2021-09-22 21:20:42.886249 : Epoch  2, Batch    325, Loss  0.786810, Average Loss  0.780979, Time  0.457292
2021-09-22 21:20:44.978280 : Epoch  2, Batch    375, Loss  0.778890, Average Loss  0.781954, Time  0.502211
2021-09-22 21:20:45.009185 : Epoch  2, Batch    326, Loss  0.780549, Average Loss  0.780970, Time  0.474835
2021-09-22 21:20:47.124778 : Epoch  2, Batch    376, Loss  0.769020, Average Loss  0.781886, Time  0.504996
2021-09-22 21:20:47.167421 : Epoch  2, Batch    327, Loss  0.778793, Average Loss  0.780973, Time  0.483609
2021-09-22 21:20:49.264579 : Epoch  2, Batch    377, Loss  0.787873, Average Loss  0.781946, Time  0.499575
2021-09-22 21:20:49.295286 : Epoch  2, Batch    328, Loss  0.783327, Average Loss  0.780965, Time  0.472392
2021-09-22 21:20:51.467362 : Epoch  2, Batch    378, Loss  0.777004, Average Loss  0.781929, Time  0.518339
2021-09-22 21:20:51.506595 : Epoch  2, Batch    329, Loss  0.775296, Average Loss  0.780934, Time  0.520128
2021-09-22 21:20:53.599896 : Epoch  2, Batch    379, Loss  0.773091, Average Loss  0.781877, Time  0.492974
2021-09-22 21:20:53.633659 : Epoch  2, Batch    330, Loss  0.778330, Average Loss  0.780897, Time  0.457338
2021-09-22 21:20:55.730904 : Epoch  2, Batch    380, Loss  0.767358, Average Loss  0.781828, Time  0.500967
2021-09-22 21:20:55.756965 : Epoch  2, Batch    331, Loss  0.765660, Average Loss  0.780841, Time  0.478928
2021-09-22 21:20:57.837242 : Epoch  2, Batch    381, Loss  0.782800, Average Loss  0.781818, Time  0.492082
2021-09-22 21:20:57.868194 : Epoch  2, Batch    332, Loss  0.784857, Average Loss  0.780844, Time  0.461561
2021-09-22 21:20:59.936688 : Epoch  2, Batch    382, Loss  0.787461, Average Loss  0.781873, Time  0.489942
2021-09-22 21:21:00.020779 : Epoch  2, Batch    333, Loss  0.773790, Average Loss  0.780738, Time  0.458825
2021-09-22 21:21:02.050624 : Epoch  2, Batch    383, Loss  0.780993, Average Loss  0.781894, Time  0.450940
2021-09-22 21:21:02.118840 : Epoch  2, Batch    334, Loss  0.787410, Average Loss  0.780759, Time  0.422338
2021-09-22 21:21:04.041790 : Epoch  2, Batch    335, Loss  0.779431, Average Loss  0.780707, Time  0.256817
2021-09-22 21:21:05.957528 : Epoch  2, Batch    336, Loss  0.784078, Average Loss  0.780795, Time  0.255753
2021-09-22 21:21:06.411120 : Epoch  2, Batch    384, Loss  0.778569, Average Loss  0.781859, Time  0.251371
2021-09-22 21:21:07.861122 : Epoch  2, Batch    337, Loss  0.782356, Average Loss  0.780800, Time  0.255599
2021-09-22 21:21:08.298706 : Epoch  2, Batch    385, Loss  0.780555, Average Loss  0.781900, Time  0.250248
2021-09-22 21:21:09.777515 : Epoch  2, Batch    338, Loss  0.793611, Average Loss  0.780819, Time  0.258101
2021-09-22 21:21:10.171843 : Epoch  2, Batch    386, Loss  0.770757, Average Loss  0.781867, Time  0.250647
2021-09-22 21:21:11.679330 : Epoch  2, Batch    339, Loss  0.780728, Average Loss  0.780813, Time  0.254752
2021-09-22 21:21:12.035676 : Epoch  2, Batch    387, Loss  0.771398, Average Loss  0.781786, Time  0.249639
2021-09-22 21:21:13.581859 : Epoch  2, Batch    340, Loss  0.791983, Average Loss  0.780816, Time  0.254214
2021-09-22 21:21:13.908777 : Epoch  2, Batch    388, Loss  0.780561, Average Loss  0.781848, Time  0.250963
2021-09-22 21:21:15.479205 : Epoch  2, Batch    341, Loss  0.778067, Average Loss  0.780789, Time  0.254036
2021-09-22 21:21:15.792549 : Epoch  2, Batch    389, Loss  0.782464, Average Loss  0.781845, Time  0.254688
2021-09-22 21:21:17.385828 : Epoch  2, Batch    342, Loss  0.782346, Average Loss  0.780766, Time  0.253619
2021-09-22 21:21:17.658054 : Epoch  2, Batch    390, Loss  0.772833, Average Loss  0.781810, Time  0.250139
2021-09-22 21:21:19.298524 : Epoch  2, Batch    343, Loss  0.782359, Average Loss  0.780743, Time  0.254344
2021-09-22 21:21:19.547862 : Epoch  2, Batch    391, Loss  0.778517, Average Loss  0.781815, Time  0.250776
2021-09-22 21:21:21.214874 : Epoch  2, Batch    344, Loss  0.778927, Average Loss  0.780733, Time  0.253429
2021-09-22 21:21:21.437577 : Epoch  2, Batch    392, Loss  0.779368, Average Loss  0.781842, Time  0.264184
2021-09-22 21:21:23.218456 : Epoch  2, Batch    345, Loss  0.781500, Average Loss  0.780781, Time  0.349398
2021-09-22 21:21:23.396030 : Epoch  2, Batch    346, Loss  0.927024, Average Loss  0.781491, Time  0.132081
2021-09-22 21:21:23.417128 : Epoch  2, Batch    393, Loss  0.788524, Average Loss  0.781889, Time  0.350937
2021-09-22 21:21:25.551229 : Epoch  2, Batch    394, Loss  0.770898, Average Loss  0.781915, Time  0.517277
2021-09-22 21:21:25.585132 : Epoch  2, Batch    347, Loss  0.786422, Average Loss  0.781550, Time  0.523947
2021-09-22 21:21:27.666596 : Epoch  2, Batch    395, Loss  0.777785, Average Loss  0.781897, Time  0.494201
2021-09-22 21:21:27.700218 : Epoch  2, Batch    348, Loss  0.795067, Average Loss  0.781591, Time  0.461913
2021-09-22 21:21:29.786905 : Epoch  2, Batch    396, Loss  0.771206, Average Loss  0.781865, Time  0.496547
2021-09-22 21:21:29.823379 : Epoch  2, Batch    349, Loss  0.813260, Average Loss  0.781764, Time  0.465535
2021-09-22 21:21:31.902944 : Epoch  2, Batch    397, Loss  0.777663, Average Loss  0.781896, Time  0.495977
2021-09-22 21:21:31.936015 : Epoch  2, Batch    350, Loss  0.806306, Average Loss  0.781892, Time  0.464296
2021-09-22 21:21:34.028062 : Epoch  2, Batch    398, Loss  0.768113, Average Loss  0.781848, Time  0.496627
2021-09-22 21:21:34.061855 : Epoch  2, Batch    351, Loss  0.807603, Average Loss  0.781984, Time  0.457857
2021-09-22 21:21:36.152405 : Epoch  2, Batch    399, Loss  0.787041, Average Loss  0.781925, Time  0.495854
2021-09-22 21:21:36.189901 : Epoch  2, Batch    352, Loss  0.807005, Average Loss  0.782127, Time  0.465361
2021-09-22 21:21:38.273002 : Epoch  2, Batch    400, Loss  0.782270, Average Loss  0.781974, Time  0.495044
2021-09-22 21:21:38.304005 : Epoch  2, Batch    353, Loss  0.795221, Average Loss  0.782170, Time  0.465064
2021-09-22 21:21:40.395942 : Epoch  2, Batch    401, Loss  0.779860, Average Loss  0.781982, Time  0.496317
2021-09-22 21:21:40.432789 : Epoch  2, Batch    354, Loss  0.799290, Average Loss  0.782282, Time  0.467773
2021-09-22 21:21:42.493721 : Epoch  2, Batch    402, Loss  0.778036, Average Loss  0.782062, Time  0.480163
2021-09-22 21:21:42.537903 : Epoch  2, Batch    355, Loss  0.794954, Average Loss  0.782335, Time  0.449467
2021-09-22 21:21:44.596819 : Epoch  2, Batch    403, Loss  0.766175, Average Loss  0.782058, Time  0.482475
2021-09-22 21:21:44.638381 : Epoch  2, Batch    356, Loss  0.806209, Average Loss  0.782483, Time  0.453059
2021-09-22 21:21:46.679259 : Epoch  2, Batch    404, Loss  0.780138, Average Loss  0.782037, Time  0.465270
2021-09-22 21:21:46.733234 : Epoch  2, Batch    357, Loss  0.799370, Average Loss  0.782555, Time  0.435454
2021-09-22 21:21:48.787416 : Epoch  2, Batch    405, Loss  0.782439, Average Loss  0.782027, Time  0.475164
2021-09-22 21:21:48.836408 : Epoch  2, Batch    358, Loss  0.799646, Average Loss  0.782624, Time  0.448309
2021-09-22 21:21:50.897360 : Epoch  2, Batch    406, Loss  0.767292, Average Loss  0.781958, Time  0.485821
2021-09-22 21:21:50.935414 : Epoch  2, Batch    359, Loss  0.798989, Average Loss  0.782715, Time  0.455324
2021-09-22 21:21:53.021429 : Epoch  2, Batch    407, Loss  0.770697, Average Loss  0.781929, Time  0.495700
2021-09-22 21:21:53.058960 : Epoch  2, Batch    360, Loss  0.804314, Average Loss  0.782847, Time  0.469938
2021-09-22 21:21:55.134035 : Epoch  2, Batch    408, Loss  0.780267, Average Loss  0.781958, Time  0.496711
2021-09-22 21:21:55.166396 : Epoch  2, Batch    361, Loss  0.795773, Average Loss  0.782919, Time  0.468093
2021-09-22 21:21:57.235843 : Epoch  2, Batch    409, Loss  0.783299, Average Loss  0.781971, Time  0.488229
2021-09-22 21:21:57.271203 : Epoch  2, Batch    362, Loss  0.799177, Average Loss  0.782978, Time  0.465482
2021-09-22 21:21:59.348596 : Epoch  2, Batch    410, Loss  0.783024, Average Loss  0.782051, Time  0.493536
2021-09-22 21:21:59.382126 : Epoch  2, Batch    363, Loss  0.791818, Average Loss  0.783004, Time  0.462058
2021-09-22 21:22:01.468959 : Epoch  2, Batch    411, Loss  0.790571, Average Loss  0.782073, Time  0.492028
2021-09-22 21:22:01.509183 : Epoch  2, Batch    364, Loss  0.799970, Average Loss  0.783042, Time  0.461949
2021-09-22 21:22:02.186729 : CheckPoint: Validation Loss  0.00015160, Best Loss  0.00014923
2021-09-22 21:22:03.603469 : Epoch  2, Batch    412, Loss  0.770360, Average Loss  0.782010, Time  0.495263
2021-09-22 21:22:03.634227 : Epoch  2, Batch    365, Loss  0.801944, Average Loss  0.783128, Time  0.464013
2021-09-22 21:22:05.729112 : Epoch  2, Batch    413, Loss  0.779913, Average Loss  0.782034, Time  0.499765
2021-09-22 21:22:05.755102 : Epoch  2, Batch    366, Loss  0.789263, Average Loss  0.783133, Time  0.477477
2021-09-22 21:22:07.150728 : Epoch  2, Batch    673, Loss  0.872630, Average Loss  0.873015, Time  0.414841
2021-09-22 21:22:07.653378 : Epoch  2, Batch    367, Loss  0.783174, Average Loss  0.783156, Time  0.254468
2021-09-22 21:22:09.548850 : Epoch  2, Batch    368, Loss  0.792257, Average Loss  0.783190, Time  0.258265
2021-09-22 21:22:11.524081 : Epoch  2, Batch    369, Loss  0.795487, Average Loss  0.783251, Time  0.329276
2021-09-22 21:22:12.102098 : Epoch  2, Batch    674, Loss  0.878125, Average Loss  0.873080, Time  0.413824
2021-09-22 21:22:13.426179 : Epoch  2, Batch    370, Loss  0.792898, Average Loss  0.783247, Time  0.256257
2021-09-22 21:22:15.339340 : Epoch  2, Batch    371, Loss  0.792551, Average Loss  0.783297, Time  0.257123
2021-09-22 21:22:17.063901 : Epoch  2, Batch    675, Loss  0.873741, Average Loss  0.873079, Time  0.414096
2021-09-22 21:22:17.245594 : Epoch  2, Batch    372, Loss  0.792542, Average Loss  0.783362, Time  0.254506
2021-09-22 21:22:19.144658 : Epoch  2, Batch    373, Loss  0.794941, Average Loss  0.783432, Time  0.253109
2021-09-22 21:22:21.052209 : Epoch  2, Batch    374, Loss  0.783636, Average Loss  0.783466, Time  0.252959
2021-09-22 21:22:22.030927 : Epoch  2, Batch    676, Loss  0.888041, Average Loss  0.873142, Time  0.421676
2021-09-22 21:22:23.063992 : Epoch  2, Batch    375, Loss  0.791179, Average Loss  0.783509, Time  0.331840
2021-09-22 21:22:24.978707 : Epoch  2, Batch    376, Loss  0.773907, Average Loss  0.783476, Time  0.255849
2021-09-22 21:22:26.881065 : Epoch  2, Batch    377, Loss  0.798379, Average Loss  0.783577, Time  0.255637
2021-09-22 21:22:26.985762 : Epoch  2, Batch    677, Loss  0.864819, Average Loss  0.873096, Time  0.412917
2021-09-22 21:22:28.782851 : Epoch  2, Batch    378, Loss  0.792967, Average Loss  0.783704, Time  0.254539
2021-09-22 21:22:30.691103 : Epoch  2, Batch    379, Loss  0.784391, Average Loss  0.783690, Time  0.254344
2021-09-22 21:22:31.943021 : Epoch  2, Batch    678, Loss  0.881104, Average Loss  0.873127, Time  0.413145
2021-09-22 21:22:32.602670 : Epoch  2, Batch    380, Loss  0.784950, Average Loss  0.783673, Time  0.253995
2021-09-22 21:22:34.585123 : Epoch  2, Batch    381, Loss  0.790289, Average Loss  0.783715, Time  0.328542
2021-09-22 21:22:36.489818 : Epoch  2, Batch    382, Loss  0.774671, Average Loss  0.783660, Time  0.254183
2021-09-22 21:22:36.911990 : Epoch  2, Batch    679, Loss  0.857050, Average Loss  0.873052, Time  0.413010
2021-09-22 21:22:38.405003 : Epoch  2, Batch    383, Loss  0.782160, Average Loss  0.783699, Time  0.256731
2021-09-22 21:22:40.311771 : Epoch  2, Batch    384, Loss  0.778927, Average Loss  0.783699, Time  0.254180
2021-09-22 21:22:41.854897 : Epoch  2, Batch    680, Loss  0.869626, Average Loss  0.873060, Time  0.413323
2021-09-22 21:22:44.562297 : Epoch  2, Batch    385, Loss  0.785761, Average Loss  0.783746, Time  0.316220
2021-09-22 21:22:46.462331 : Epoch  2, Batch    386, Loss  0.789909, Average Loss  0.783768, Time  0.254106
2021-09-22 21:22:46.835466 : Epoch  2, Batch    681, Loss  0.876823, Average Loss  0.873115, Time  0.440483
2021-09-22 21:22:48.363384 : Epoch  2, Batch    387, Loss  0.782974, Average Loss  0.783789, Time  0.258527
2021-09-22 21:22:50.257814 : Epoch  2, Batch    388, Loss  0.790914, Average Loss  0.783868, Time  0.253511
2021-09-22 21:22:51.779105 : Epoch  2, Batch    682, Loss  0.872330, Average Loss  0.873121, Time  0.412921
2021-09-22 21:22:52.142886 : Epoch  2, Batch    389, Loss  0.785035, Average Loss  0.783961, Time  0.254807
2021-09-22 21:22:54.029644 : Epoch  2, Batch    390, Loss  0.787539, Average Loss  0.784031, Time  0.254295
2021-09-22 21:22:56.027417 : Epoch  2, Batch    391, Loss  0.776877, Average Loss  0.784022, Time  0.328626
2021-09-22 21:22:56.733033 : Epoch  2, Batch    683, Loss  0.868262, Average Loss  0.873126, Time  0.413078
2021-09-22 21:22:57.950183 : Epoch  2, Batch    392, Loss  0.766979, Average Loss  0.783982, Time  0.253504
2021-09-22 21:22:59.851719 : Epoch  2, Batch    393, Loss  0.780138, Average Loss  0.783971, Time  0.253963
2021-09-22 21:23:01.688747 : Epoch  2, Batch    684, Loss  0.874684, Average Loss  0.873166, Time  0.413683
2021-09-22 21:23:01.766435 : Epoch  2, Batch    394, Loss  0.787983, Average Loss  0.784058, Time  0.256454
2021-09-22 21:23:03.660728 : Epoch  2, Batch    395, Loss  0.783646, Average Loss  0.784053, Time  0.253797
2021-09-22 21:23:05.568196 : Epoch  2, Batch    396, Loss  0.775218, Average Loss  0.784021, Time  0.253835
2021-09-22 21:23:06.658887 : Epoch  2, Batch    685, Loss  0.858246, Average Loss  0.873038, Time  0.413393
2021-09-22 21:23:07.547563 : Epoch  2, Batch    397, Loss  0.778727, Average Loss  0.784010, Time  0.329839
2021-09-22 21:23:09.455892 : Epoch  2, Batch    398, Loss  0.776975, Average Loss  0.783940, Time  0.253948
2021-09-22 21:23:11.362758 : Epoch  2, Batch    399, Loss  0.777038, Average Loss  0.783893, Time  0.254224
2021-09-22 21:23:11.621479 : Epoch  2, Batch    686, Loss  0.881036, Average Loss  0.873094, Time  0.414117
2021-09-22 21:23:13.261483 : Epoch  2, Batch    400, Loss  0.781826, Average Loss  0.783891, Time  0.253544
2021-09-22 21:23:15.160377 : Epoch  2, Batch    401, Loss  0.785145, Average Loss  0.783869, Time  0.256190
2021-09-22 21:23:16.192795 : CheckPoint: Validation Loss  0.00032811, Best Loss  0.00031612
2021-09-22 21:23:16.579359 : Epoch  2, Batch    687, Loss  0.875252, Average Loss  0.873049, Time  0.413777
2021-09-22 21:23:17.058076 : Epoch  2, Batch    402, Loss  0.785754, Average Loss  0.783851, Time  0.254241
2021-09-22 21:23:18.078466 : Epoch  2, Batch    414, Loss  0.790893, Average Loss  0.782100, Time  0.255764
2021-09-22 21:23:18.957850 : Epoch  2, Batch    403, Loss  0.770464, Average Loss  0.783824, Time  0.254930
2021-09-22 21:23:19.958781 : Epoch  2, Batch    415, Loss  0.779891, Average Loss  0.782091, Time  0.252777
2021-09-22 21:23:20.860123 : Epoch  2, Batch    404, Loss  0.784224, Average Loss  0.783835, Time  0.254714
2021-09-22 21:23:21.534966 : Epoch  2, Batch    688, Loss  0.862143, Average Loss  0.872936, Time  0.413710
2021-09-22 21:23:21.849948 : Epoch  2, Batch    416, Loss  0.777631, Average Loss  0.782076, Time  0.252067
2021-09-22 21:23:22.764263 : Epoch  2, Batch    405, Loss  0.795941, Average Loss  0.783917, Time  0.261693
2021-09-22 21:23:23.732339 : Epoch  2, Batch    417, Loss  0.775277, Average Loss  0.782031, Time  0.251632
2021-09-22 21:23:24.675912 : Epoch  2, Batch    406, Loss  0.775337, Average Loss  0.783846, Time  0.260344
2021-09-22 21:23:25.624681 : Epoch  2, Batch    418, Loss  0.778293, Average Loss  0.781993, Time  0.252578
2021-09-22 21:23:26.533808 : Epoch  2, Batch    689, Loss  0.864701, Average Loss  0.872930, Time  0.413525
2021-09-22 21:23:26.592196 : Epoch  2, Batch    407, Loss  0.783945, Average Loss  0.783902, Time  0.253217
2021-09-22 21:23:27.533034 : Epoch  2, Batch    419, Loss  0.777567, Average Loss  0.782015, Time  0.251182
2021-09-22 21:23:28.471746 : Epoch  2, Batch    408, Loss  0.785273, Average Loss  0.783913, Time  0.256362
2021-09-22 21:23:29.418341 : Epoch  2, Batch    420, Loss  0.778440, Average Loss  0.782050, Time  0.251145
2021-09-22 21:23:30.378956 : Epoch  2, Batch    409, Loss  0.797619, Average Loss  0.784012, Time  0.253072
2021-09-22 21:23:31.298330 : Epoch  2, Batch    421, Loss  0.782821, Average Loss  0.782059, Time  0.251671
2021-09-22 21:23:31.563813 : Epoch  2, Batch    690, Loss  0.870044, Average Loss  0.872850, Time  0.466182
2021-09-22 21:23:32.317746 : Epoch  2, Batch    410, Loss  0.780107, Average Loss  0.784018, Time  0.252956
2021-09-22 21:23:33.189681 : Epoch  2, Batch    422, Loss  0.771161, Average Loss  0.782067, Time  0.251732
2021-09-22 21:23:34.214968 : Epoch  2, Batch    411, Loss  0.777177, Average Loss  0.783995, Time  0.253542
2021-09-22 21:23:35.073134 : Epoch  2, Batch    423, Loss  0.768940, Average Loss  0.782042, Time  0.251401
2021-09-22 21:23:36.121144 : Epoch  2, Batch    412, Loss  0.790531, Average Loss  0.784050, Time  0.257744
2021-09-22 21:23:36.504019 : Epoch  2, Batch    691, Loss  0.873932, Average Loss  0.872853, Time  0.415870
2021-09-22 21:23:36.959143 : Epoch  2, Batch    424, Loss  0.780868, Average Loss  0.782037, Time  0.250068
2021-09-22 21:23:38.053133 : Epoch  2, Batch    413, Loss  0.795025, Average Loss  0.784170, Time  0.254248
2021-09-22 21:23:38.837631 : Epoch  2, Batch    425, Loss  0.780049, Average Loss  0.782028, Time  0.254880
2021-09-22 21:23:40.725852 : Epoch  2, Batch    426, Loss  0.778797, Average Loss  0.782054, Time  0.250836
2021-09-22 21:23:41.473741 : Epoch  2, Batch    692, Loss  0.877815, Average Loss  0.872897, Time  0.412911
2021-09-22 21:23:42.603163 : Epoch  2, Batch    427, Loss  0.776860, Average Loss  0.782089, Time  0.250567
2021-09-22 21:23:44.483457 : Epoch  2, Batch    428, Loss  0.775880, Average Loss  0.782065, Time  0.251194
2021-09-22 21:23:46.359897 : Epoch  2, Batch    429, Loss  0.783641, Average Loss  0.782129, Time  0.251931
2021-09-22 21:23:46.500849 : Epoch  2, Batch    693, Loss  0.859772, Average Loss  0.872818, Time  0.413026
2021-09-22 21:23:48.238617 : Epoch  2, Batch    430, Loss  0.761694, Average Loss  0.782091, Time  0.252975
2021-09-22 21:23:50.128123 : Epoch  2, Batch    431, Loss  0.781564, Average Loss  0.782074, Time  0.252467
2021-09-22 21:23:51.513769 : Epoch  2, Batch    694, Loss  0.884764, Average Loss  0.872874, Time  0.413475
2021-09-22 21:23:52.076263 : Epoch  2, Batch    432, Loss  0.769883, Average Loss  0.782054, Time  0.323323
2021-09-22 21:23:53.975757 : Epoch  2, Batch    433, Loss  0.769981, Average Loss  0.781974, Time  0.261988
2021-09-22 21:23:55.863900 : Epoch  2, Batch    434, Loss  0.781496, Average Loss  0.781971, Time  0.249412
2021-09-22 21:23:56.479764 : Epoch  2, Batch    695, Loss  0.867214, Average Loss  0.872838, Time  0.413447
2021-09-22 21:23:57.751816 : Epoch  2, Batch    435, Loss  0.768431, Average Loss  0.781936, Time  0.251006
2021-09-22 21:23:59.625974 : Epoch  2, Batch    436, Loss  0.782258, Average Loss  0.781948, Time  0.250362
2021-09-22 21:24:01.432859 : Epoch  2, Batch    696, Loss  0.863886, Average Loss  0.872684, Time  0.412907
2021-09-22 21:24:01.498987 : Epoch  2, Batch    437, Loss  0.770697, Average Loss  0.781944, Time  0.250419
2021-09-22 21:24:03.369790 : Epoch  2, Batch    438, Loss  0.782123, Average Loss  0.781984, Time  0.249901
2021-09-22 21:24:05.251914 : Epoch  2, Batch    439, Loss  0.779880, Average Loss  0.782017, Time  0.250772
2021-09-22 21:24:06.391756 : Epoch  2, Batch    697, Loss  0.879270, Average Loss  0.872732, Time  0.413298
2021-09-22 21:24:07.134552 : Epoch  2, Batch    440, Loss  0.784169, Average Loss  0.782104, Time  0.252476
2021-09-22 21:24:09.095378 : Epoch  2, Batch    441, Loss  0.794961, Average Loss  0.782215, Time  0.328007
2021-09-22 21:24:10.965345 : Epoch  2, Batch    442, Loss  0.777334, Average Loss  0.782281, Time  0.250508
2021-09-22 21:24:11.357855 : Epoch  2, Batch    698, Loss  0.870204, Average Loss  0.872764, Time  0.414197
2021-09-22 21:24:12.834754 : Epoch  2, Batch    443, Loss  0.788019, Average Loss  0.782317, Time  0.250484
2021-09-22 21:24:14.707067 : Epoch  2, Batch    444, Loss  0.778641, Average Loss  0.782396, Time  0.249153
2021-09-22 21:24:16.350738 : Epoch  2, Batch    699, Loss  0.868566, Average Loss  0.872776, Time  0.454114
2021-09-22 21:24:16.612105 : Epoch  2, Batch    445, Loss  0.787639, Average Loss  0.782469, Time  0.251024
2021-09-22 21:24:18.479671 : Epoch  2, Batch    446, Loss  0.778554, Average Loss  0.782468, Time  0.250813
2021-09-22 21:24:20.355207 : Epoch  2, Batch    447, Loss  0.785123, Average Loss  0.782497, Time  0.250199
2021-09-22 21:24:21.325152 : Epoch  2, Batch    700, Loss  0.852234, Average Loss  0.872751, Time  0.414420
2021-09-22 21:24:22.229386 : Epoch  2, Batch    448, Loss  0.782287, Average Loss  0.782522, Time  0.250068
2021-09-22 21:24:24.192148 : Epoch  2, Batch    449, Loss  0.773249, Average Loss  0.782550, Time  0.327408
2021-09-22 21:24:26.074026 : Epoch  2, Batch    450, Loss  0.779040, Average Loss  0.782604, Time  0.251709
2021-09-22 21:24:26.282733 : Epoch  2, Batch    701, Loss  0.871911, Average Loss  0.872766, Time  0.413249
2021-09-22 21:24:27.946233 : Epoch  2, Batch    451, Loss  0.780834, Average Loss  0.782664, Time  0.249538
2021-09-22 21:24:29.840336 : Epoch  2, Batch    452, Loss  0.786176, Average Loss  0.782723, Time  0.250895
2021-09-22 21:24:31.238187 : Epoch  2, Batch    702, Loss  0.886030, Average Loss  0.872798, Time  0.414352
2021-09-22 21:24:31.724760 : Epoch  2, Batch    453, Loss  0.772646, Average Loss  0.782771, Time  0.251964
2021-09-22 21:24:33.588802 : Epoch  2, Batch    454, Loss  0.772035, Average Loss  0.782718, Time  0.250732
2021-09-22 21:24:35.460901 : Epoch  2, Batch    455, Loss  0.779014, Average Loss  0.782780, Time  0.251042
2021-09-22 21:24:36.208874 : Epoch  2, Batch    703, Loss  0.875700, Average Loss  0.872865, Time  0.413380
2021-09-22 21:24:37.326381 : Epoch  2, Batch    456, Loss  0.779328, Average Loss  0.782781, Time  0.250548
2021-09-22 21:24:39.268683 : Epoch  2, Batch    457, Loss  0.779683, Average Loss  0.782762, Time  0.326423
2021-09-22 21:24:41.145915 : Epoch  2, Batch    458, Loss  0.780388, Average Loss  0.782767, Time  0.251698
2021-09-22 21:24:41.268580 : Epoch  2, Batch    704, Loss  0.871966, Average Loss  0.872757, Time  0.426571
2021-09-22 21:24:43.038002 : Epoch  2, Batch    459, Loss  0.779180, Average Loss  0.782782, Time  0.250087
2021-09-22 21:24:44.908713 : Epoch  2, Batch    460, Loss  0.772118, Average Loss  0.782773, Time  0.250198
2021-09-22 21:24:46.245661 : Epoch  2, Batch    705, Loss  0.875537, Average Loss  0.872832, Time  0.413619
2021-09-22 21:24:46.787967 : Epoch  2, Batch    461, Loss  0.778615, Average Loss  0.782801, Time  0.249449
2021-09-22 21:24:48.672985 : Epoch  2, Batch    462, Loss  0.771294, Average Loss  0.782779, Time  0.249960
2021-09-22 21:24:49.861757 : CheckPoint: Validation Loss  0.00032546, Best Loss  0.00032209
2021-09-22 21:24:50.553409 : Epoch  2, Batch    463, Loss  0.777971, Average Loss  0.782755, Time  0.254873
2021-09-22 21:24:51.240972 : Epoch  2, Batch    706, Loss  0.875498, Average Loss  0.872809, Time  0.414032
2021-09-22 21:24:51.776085 : Epoch  2, Batch    414, Loss  0.782108, Average Loss  0.784145, Time  0.253936
2021-09-22 21:24:52.435930 : Epoch  2, Batch    464, Loss  0.781020, Average Loss  0.782782, Time  0.249904
2021-09-22 21:24:53.674722 : Epoch  2, Batch    415, Loss  0.769995, Average Loss  0.784090, Time  0.255134
2021-09-22 21:24:54.316809 : Epoch  2, Batch    465, Loss  0.774366, Average Loss  0.782712, Time  0.250582
2021-09-22 21:24:55.592792 : Epoch  2, Batch    416, Loss  0.785513, Average Loss  0.784106, Time  0.256737
2021-09-22 21:24:56.197519 : Epoch  2, Batch    466, Loss  0.776012, Average Loss  0.782758, Time  0.251288
2021-09-22 21:24:56.201894 : Epoch  2, Batch    707, Loss  0.879990, Average Loss  0.872853, Time  0.413117
2021-09-22 21:24:57.488260 : Epoch  2, Batch    417, Loss  0.772764, Average Loss  0.784064, Time  0.253945
2021-09-22 21:24:58.086769 : Epoch  2, Batch    467, Loss  0.770209, Average Loss  0.782727, Time  0.252295
2021-09-22 21:24:59.397099 : Epoch  2, Batch    418, Loss  0.773533, Average Loss  0.783999, Time  0.255528
2021-09-22 21:24:59.966538 : Epoch  2, Batch    468, Loss  0.779630, Average Loss  0.782740, Time  0.253184
2021-09-22 21:25:01.277984 : Epoch  2, Batch    708, Loss  0.866655, Average Loss  0.872884, Time  0.460754
2021-09-22 21:25:01.302110 : Epoch  2, Batch    419, Loss  0.770710, Average Loss  0.783948, Time  0.255575
2021-09-22 21:25:01.841736 : Epoch  2, Batch    469, Loss  0.773618, Average Loss  0.782682, Time  0.249189
2021-09-22 21:25:03.197401 : Epoch  2, Batch    420, Loss  0.784916, Average Loss  0.783952, Time  0.254477
2021-09-22 21:25:03.713619 : Epoch  2, Batch    470, Loss  0.784603, Average Loss  0.782723, Time  0.249321
2021-09-22 21:25:05.083143 : Epoch  2, Batch    421, Loss  0.779701, Average Loss  0.783953, Time  0.253176
2021-09-22 21:25:05.583562 : Epoch  2, Batch    471, Loss  0.772596, Average Loss  0.782688, Time  0.250016
2021-09-22 21:25:06.328017 : Epoch  2, Batch    709, Loss  0.878791, Average Loss  0.872891, Time  0.414162
2021-09-22 21:25:06.988832 : Epoch  2, Batch    422, Loss  0.780809, Average Loss  0.783985, Time  0.253720
2021-09-22 21:25:07.448740 : Epoch  2, Batch    472, Loss  0.775205, Average Loss  0.782693, Time  0.253425
2021-09-22 21:25:08.881147 : Epoch  2, Batch    423, Loss  0.783974, Average Loss  0.784026, Time  0.253412
2021-09-22 21:25:09.311748 : Epoch  2, Batch    473, Loss  0.778335, Average Loss  0.782719, Time  0.250580
2021-09-22 21:25:10.769977 : Epoch  2, Batch    424, Loss  0.782590, Average Loss  0.784005, Time  0.256618
2021-09-22 21:25:11.187699 : Epoch  2, Batch    474, Loss  0.775809, Average Loss  0.782673, Time  0.250145
2021-09-22 21:25:11.292810 : Epoch  2, Batch    710, Loss  0.884899, Average Loss  0.872976, Time  0.413690
2021-09-22 21:25:12.701128 : Epoch  2, Batch    425, Loss  0.774033, Average Loss  0.784005, Time  0.254362
2021-09-22 21:25:13.052753 : Epoch  2, Batch    475, Loss  0.770824, Average Loss  0.782617, Time  0.249990
2021-09-22 21:25:14.615958 : Epoch  2, Batch    426, Loss  0.773843, Average Loss  0.783958, Time  0.255567
2021-09-22 21:25:14.913010 : Epoch  2, Batch    476, Loss  0.771229, Average Loss  0.782622, Time  0.252444
2021-09-22 21:25:16.288835 : Epoch  2, Batch    711, Loss  0.860114, Average Loss  0.872824, Time  0.416764
2021-09-22 21:25:16.519901 : Epoch  2, Batch    427, Loss  0.783228, Average Loss  0.783933, Time  0.252923
2021-09-22 21:25:16.772170 : Epoch  2, Batch    477, Loss  0.780609, Average Loss  0.782679, Time  0.249855
2021-09-22 21:25:18.428790 : Epoch  2, Batch    428, Loss  0.794433, Average Loss  0.783984, Time  0.253619
2021-09-22 21:25:18.667925 : Epoch  2, Batch    478, Loss  0.771552, Average Loss  0.782612, Time  0.257010
2021-09-22 21:25:20.394637 : Epoch  2, Batch    429, Loss  0.778075, Average Loss  0.783942, Time  0.313193
2021-09-22 21:25:20.565472 : Epoch  2, Batch    479, Loss  0.770147, Average Loss  0.782608, Time  0.284208
2021-09-22 21:25:21.325299 : Epoch  2, Batch    712, Loss  0.867891, Average Loss  0.872777, Time  0.418234
2021-09-22 21:25:22.455811 : Epoch  2, Batch    430, Loss  0.778036, Average Loss  0.783900, Time  0.416173
2021-09-22 21:25:22.555016 : Epoch  2, Batch    480, Loss  0.771814, Average Loss  0.782573, Time  0.381494
2021-09-22 21:25:24.627398 : Epoch  2, Batch    431, Loss  0.772086, Average Loss  0.783867, Time  0.510917
2021-09-22 21:25:24.661040 : Epoch  2, Batch    481, Loss  0.782543, Average Loss  0.782687, Time  0.480009
2021-09-22 21:25:26.344899 : Epoch  2, Batch    713, Loss  0.886452, Average Loss  0.872846, Time  0.425705
2021-09-22 21:25:26.804670 : Epoch  2, Batch    482, Loss  0.774476, Average Loss  0.782670, Time  0.519741
2021-09-22 21:25:26.805196 : Epoch  2, Batch    432, Loss  0.783318, Average Loss  0.783909, Time  0.521920
2021-09-22 21:25:28.910231 : Epoch  2, Batch    483, Loss  0.779589, Average Loss  0.782617, Time  0.494601
2021-09-22 21:25:28.940763 : Epoch  2, Batch    433, Loss  0.777802, Average Loss  0.783920, Time  0.467446
2021-09-22 21:25:30.853211 : Epoch  2, Batch    434, Loss  0.769695, Average Loss  0.783856, Time  0.257962
2021-09-22 21:25:31.376077 : Epoch  2, Batch    714, Loss  0.888855, Average Loss  0.872924, Time  0.415821
2021-09-22 21:25:32.762544 : Epoch  2, Batch    435, Loss  0.783238, Average Loss  0.783847, Time  0.253588
2021-09-22 21:25:33.024058 : Epoch  2, Batch    484, Loss  0.774027, Average Loss  0.782620, Time  0.252698
2021-09-22 21:25:34.671507 : Epoch  2, Batch    436, Loss  0.772540, Average Loss  0.783812, Time  0.255031
2021-09-22 21:25:34.905531 : Epoch  2, Batch    485, Loss  0.788257, Average Loss  0.782686, Time  0.257401
2021-09-22 21:25:36.459851 : Epoch  2, Batch    715, Loss  0.900421, Average Loss  0.873047, Time  0.415492
2021-09-22 21:25:36.680087 : Epoch  2, Batch    437, Loss  0.778546, Average Loss  0.783822, Time  0.349291
2021-09-22 21:25:36.821927 : Epoch  2, Batch    486, Loss  0.791446, Average Loss  0.782783, Time  0.309502
2021-09-22 21:25:38.790417 : Epoch  2, Batch    438, Loss  0.770940, Average Loss  0.783802, Time  0.455302
2021-09-22 21:25:38.850861 : Epoch  2, Batch    487, Loss  0.774325, Average Loss  0.782783, Time  0.417797
2021-09-22 21:25:40.975990 : Epoch  2, Batch    488, Loss  0.768838, Average Loss  0.782722, Time  0.503645
2021-09-22 21:25:41.007223 : Epoch  2, Batch    439, Loss  0.782688, Average Loss  0.783781, Time  0.526786
2021-09-22 21:25:41.503988 : Epoch  2, Batch    716, Loss  0.865535, Average Loss  0.872991, Time  0.415414
2021-09-22 21:25:43.069927 : Epoch  2, Batch    489, Loss  0.790520, Average Loss  0.782784, Time  0.480443
2021-09-22 21:25:43.113850 : Epoch  2, Batch    440, Loss  0.784945, Average Loss  0.783786, Time  0.450596
2021-09-22 21:25:45.157144 : Epoch  2, Batch    490, Loss  0.778924, Average Loss  0.782813, Time  0.454689
2021-09-22 21:25:45.216471 : Epoch  2, Batch    441, Loss  0.784108, Average Loss  0.783840, Time  0.410380
2021-09-22 21:25:46.573812 : Epoch  2, Batch    717, Loss  0.889064, Average Loss  0.873126, Time  0.457962
2021-09-22 21:25:47.226656 : Epoch  2, Batch    491, Loss  0.759505, Average Loss  0.782735, Time  0.448339
2021-09-22 21:25:47.293881 : Epoch  2, Batch    442, Loss  0.780041, Average Loss  0.783800, Time  0.419143
2021-09-22 21:25:49.257244 : Epoch  2, Batch    492, Loss  0.770471, Average Loss  0.781963, Time  0.417698
2021-09-22 21:25:49.343012 : Epoch  2, Batch    443, Loss  0.783027, Average Loss  0.783778, Time  0.387821
2021-09-22 21:25:51.301176 : Epoch  2, Batch    493, Loss  0.767270, Average Loss  0.781813, Time  0.425952
2021-09-22 21:25:51.383830 : Epoch  2, Batch    444, Loss  0.783261, Average Loss  0.783777, Time  0.394383
2021-09-22 21:25:51.583193 : Epoch  2, Batch    718, Loss  0.851397, Average Loss  0.873011, Time  0.414364
2021-09-22 21:25:53.349437 : Epoch  2, Batch    494, Loss  0.777649, Average Loss  0.781559, Time  0.423567
2021-09-22 21:25:53.430526 : Epoch  2, Batch    445, Loss  0.790624, Average Loss  0.783793, Time  0.394191
2021-09-22 21:25:55.424959 : Epoch  2, Batch    495, Loss  0.777053, Average Loss  0.781314, Time  0.444796
2021-09-22 21:25:55.487947 : Epoch  2, Batch    446, Loss  0.781251, Average Loss  0.783813, Time  0.407491
2021-09-22 21:25:56.535026 : Epoch  2, Batch    719, Loss  0.873320, Average Loss  0.872986, Time  0.413614
2021-09-22 21:25:57.577028 : Epoch  2, Batch    496, Loss  0.768723, Average Loss  0.781102, Time  0.522429
2021-09-22 21:25:57.615165 : Epoch  2, Batch    447, Loss  0.777651, Average Loss  0.783783, Time  0.487442
2021-09-22 21:25:59.714077 : Epoch  2, Batch    497, Loss  0.764162, Average Loss  0.780912, Time  0.506153
2021-09-22 21:25:59.746706 : Epoch  2, Batch    448, Loss  0.779764, Average Loss  0.783806, Time  0.482560
2021-09-22 21:26:01.523868 : Epoch  2, Batch    720, Loss  0.868923, Average Loss  0.872942, Time  0.415515
2021-09-22 21:26:01.849427 : Epoch  2, Batch    498, Loss  0.771525, Average Loss  0.780714, Time  0.510062
2021-09-22 21:26:01.878734 : Epoch  2, Batch    449, Loss  0.780841, Average Loss  0.783821, Time  0.490254
2021-09-22 21:26:03.985228 : Epoch  2, Batch    499, Loss  0.764902, Average Loss  0.780488, Time  0.507932
2021-09-22 21:26:04.018076 : Epoch  2, Batch    450, Loss  0.788903, Average Loss  0.783863, Time  0.486478
2021-09-22 21:26:06.135840 : Epoch  2, Batch    500, Loss  0.764755, Average Loss  0.780298, Time  0.514761
2021-09-22 21:26:06.167328 : Epoch  2, Batch    451, Loss  0.783516, Average Loss  0.783867, Time  0.503045
2021-09-22 21:26:06.584937 : Epoch  2, Batch    721, Loss  0.870897, Average Loss  0.872988, Time  0.415512
2021-09-22 21:26:08.257148 : Epoch  2, Batch    501, Loss  0.779357, Average Loss  0.780151, Time  0.502457
2021-09-22 21:26:08.286604 : Epoch  2, Batch    452, Loss  0.769187, Average Loss  0.783801, Time  0.478997
2021-09-22 21:26:10.380299 : Epoch  2, Batch    502, Loss  0.780426, Average Loss  0.780074, Time  0.500635
2021-09-22 21:26:10.415392 : Epoch  2, Batch    453, Loss  0.775366, Average Loss  0.783776, Time  0.478885
2021-09-22 21:26:11.623055 : Epoch  2, Batch    722, Loss  0.880949, Average Loss  0.873000, Time  0.417632
2021-09-22 21:26:12.502642 : Epoch  2, Batch    503, Loss  0.771343, Average Loss  0.779939, Time  0.501220
2021-09-22 21:26:12.530961 : Epoch  2, Batch    454, Loss  0.774594, Average Loss  0.783743, Time  0.473416
2021-09-22 21:26:14.630846 : Epoch  2, Batch    504, Loss  0.773501, Average Loss  0.779804, Time  0.503666
2021-09-22 21:26:14.665387 : Epoch  2, Batch    455, Loss  0.778888, Average Loss  0.783745, Time  0.487259
2021-09-22 21:26:16.672818 : Epoch  2, Batch    723, Loss  0.876209, Average Loss  0.873010, Time  0.415470
2021-09-22 21:26:16.744523 : Epoch  2, Batch    505, Loss  0.769876, Average Loss  0.779650, Time  0.492317
2021-09-22 21:26:16.783226 : Epoch  2, Batch    456, Loss  0.774395, Average Loss  0.783714, Time  0.462567
2021-09-22 21:26:18.868295 : Epoch  2, Batch    506, Loss  0.778624, Average Loss  0.779575, Time  0.499079
2021-09-22 21:26:18.892431 : Epoch  2, Batch    457, Loss  0.786965, Average Loss  0.783741, Time  0.475615
2021-09-22 21:26:21.001718 : Epoch  2, Batch    507, Loss  0.771078, Average Loss  0.779456, Time  0.501050
2021-09-22 21:26:21.037498 : Epoch  2, Batch    458, Loss  0.782974, Average Loss  0.783741, Time  0.478715
2021-09-22 21:26:21.723905 : Epoch  2, Batch    724, Loss  0.880008, Average Loss  0.873042, Time  0.421487
2021-09-22 21:26:23.167339 : Epoch  2, Batch    508, Loss  0.778493, Average Loss  0.779356, Time  0.515306
2021-09-22 21:26:23.198160 : Epoch  2, Batch    459, Loss  0.777143, Average Loss  0.783710, Time  0.501767
2021-09-22 21:26:25.288877 : Epoch  2, Batch    509, Loss  0.775422, Average Loss  0.779257, Time  0.500747
2021-09-22 21:26:25.326351 : Epoch  2, Batch    460, Loss  0.770301, Average Loss  0.783654, Time  0.477219
2021-09-22 21:26:26.757939 : Epoch  2, Batch    725, Loss  0.867091, Average Loss  0.872976, Time  0.417630
2021-09-22 21:26:27.471289 : Epoch  2, Batch    510, Loss  0.772492, Average Loss  0.779181, Time  0.512074
2021-09-22 21:26:27.504420 : Epoch  2, Batch    461, Loss  0.771632, Average Loss  0.783594, Time  0.499805
2021-09-22 21:26:29.612038 : Epoch  2, Batch    511, Loss  0.795227, Average Loss  0.779212, Time  0.505627
2021-09-22 21:26:29.648943 : Epoch  2, Batch    462, Loss  0.779863, Average Loss  0.783575, Time  0.476751
2021-09-22 21:26:31.725049 : Epoch  2, Batch    512, Loss  0.770835, Average Loss  0.779097, Time  0.495549
2021-09-22 21:26:31.754712 : Epoch  2, Batch    463, Loss  0.772487, Average Loss  0.783543, Time  0.467671
2021-09-22 21:26:31.817215 : Epoch  2, Batch    726, Loss  0.882104, Average Loss  0.873053, Time  0.452366
2021-09-22 21:26:33.882512 : Epoch  2, Batch    513, Loss  0.775653, Average Loss  0.779030, Time  0.513069
2021-09-22 21:26:33.903870 : Epoch  2, Batch    464, Loss  0.791057, Average Loss  0.783593, Time  0.503691
2021-09-22 21:26:35.811529 : Epoch  2, Batch    465, Loss  0.780006, Average Loss  0.783584, Time  0.255609
2021-09-22 21:26:36.835977 : Epoch  2, Batch    727, Loss  0.871921, Average Loss  0.873032, Time  0.414745
2021-09-22 21:26:37.723855 : Epoch  2, Batch    466, Loss  0.771507, Average Loss  0.783522, Time  0.256734
2021-09-22 21:26:39.677263 : Epoch  2, Batch    467, Loss  0.784277, Average Loss  0.783592, Time  0.284951
2021-09-22 21:26:41.567993 : Epoch  2, Batch    468, Loss  0.771030, Average Loss  0.783584, Time  0.252971
2021-09-22 21:26:41.797655 : Epoch  2, Batch    728, Loss  0.872854, Average Loss  0.873024, Time  0.413615
2021-09-22 21:26:43.470236 : Epoch  2, Batch    469, Loss  0.780071, Average Loss  0.783595, Time  0.253742
2021-09-22 21:26:45.356056 : Epoch  2, Batch    470, Loss  0.773435, Average Loss  0.783587, Time  0.254071
2021-09-22 21:26:46.774951 : Epoch  2, Batch    729, Loss  0.862535, Average Loss  0.872888, Time  0.421000
2021-09-22 21:26:47.254817 : Epoch  2, Batch    471, Loss  0.781515, Average Loss  0.783570, Time  0.254000
2021-09-22 21:26:49.149213 : Epoch  2, Batch    472, Loss  0.769984, Average Loss  0.783511, Time  0.253032
2021-09-22 21:26:51.116815 : Epoch  2, Batch    473, Loss  0.781604, Average Loss  0.783526, Time  0.327743
2021-09-22 21:26:51.815483 : Epoch  2, Batch    730, Loss  0.858628, Average Loss  0.872811, Time  0.416460
2021-09-22 21:26:53.037571 : Epoch  2, Batch    474, Loss  0.774023, Average Loss  0.783520, Time  0.253865
2021-09-22 21:26:54.942683 : Epoch  2, Batch    475, Loss  0.781787, Average Loss  0.783554, Time  0.255253
2021-09-22 21:26:56.822052 : Epoch  2, Batch    731, Loss  0.886313, Average Loss  0.872925, Time  0.415194
2021-09-22 21:26:56.847641 : Epoch  2, Batch    476, Loss  0.765435, Average Loss  0.783554, Time  0.253083
2021-09-22 21:26:58.750222 : Epoch  2, Batch    477, Loss  0.776033, Average Loss  0.783511, Time  0.254833
2021-09-22 21:27:00.644827 : Epoch  2, Batch    478, Loss  0.794581, Average Loss  0.783510, Time  0.254115
2021-09-22 21:27:01.852015 : Epoch  2, Batch    732, Loss  0.874828, Average Loss  0.872969, Time  0.415508
2021-09-22 21:27:02.608859 : Epoch  2, Batch    479, Loss  0.779219, Average Loss  0.783494, Time  0.327514
2021-09-22 21:27:04.501025 : Epoch  2, Batch    480, Loss  0.779575, Average Loss  0.783500, Time  0.253282
2021-09-22 21:27:06.386260 : Epoch  2, Batch    481, Loss  0.788839, Average Loss  0.783612, Time  0.253301
2021-09-22 21:27:06.867812 : Epoch  2, Batch    733, Loss  0.892522, Average Loss  0.873071, Time  0.414854
2021-09-22 21:27:08.288422 : Epoch  2, Batch    482, Loss  0.778879, Average Loss  0.783589, Time  0.253015
2021-09-22 21:27:10.197862 : Epoch  2, Batch    483, Loss  0.776705, Average Loss  0.783572, Time  0.254595
2021-09-22 21:27:11.948983 : Epoch  2, Batch    734, Loss  0.870504, Average Loss  0.873034, Time  0.419302
2021-09-22 21:27:14.344595 : Epoch  2, Batch    484, Loss  0.784954, Average Loss  0.783600, Time  0.265586
2021-09-22 21:27:16.234998 : Epoch  2, Batch    485, Loss  0.781238, Average Loss  0.783634, Time  0.253434
2021-09-22 21:27:17.098150 : Epoch  2, Batch    735, Loss  0.879393, Average Loss  0.873104, Time  0.464510
2021-09-22 21:27:18.126051 : Epoch  2, Batch    486, Loss  0.781319, Average Loss  0.783619, Time  0.253529
2021-09-22 21:27:20.012896 : Epoch  2, Batch    487, Loss  0.780367, Average Loss  0.783601, Time  0.253325
2021-09-22 21:27:21.909437 : Epoch  2, Batch    488, Loss  0.766171, Average Loss  0.783568, Time  0.254738
2021-09-22 21:27:22.148058 : Epoch  2, Batch    736, Loss  0.862230, Average Loss  0.873077, Time  0.416987
2021-09-22 21:27:23.887886 : Epoch  2, Batch    489, Loss  0.792226, Average Loss  0.783656, Time  0.332399
2021-09-22 21:27:25.791823 : Epoch  2, Batch    490, Loss  0.785917, Average Loss  0.783687, Time  0.255526
2021-09-22 21:27:27.138261 : Epoch  2, Batch    737, Loss  0.870139, Average Loss  0.873064, Time  0.414064
2021-09-22 21:27:27.675370 : Epoch  2, Batch    491, Loss  0.774362, Average Loss  0.783614, Time  0.254330
2021-09-22 21:27:29.572100 : Epoch  2, Batch    492, Loss  0.779544, Average Loss  0.783580, Time  0.261112
2021-09-22 21:27:31.482900 : Epoch  2, Batch    493, Loss  0.778024, Average Loss  0.783570, Time  0.261251
2021-09-22 21:27:32.108316 : Epoch  2, Batch    738, Loss  0.868091, Average Loss  0.872984, Time  0.414676
2021-09-22 21:27:33.369925 : Epoch  2, Batch    494, Loss  0.784198, Average Loss  0.783599, Time  0.254050
2021-09-22 21:27:35.342858 : Epoch  2, Batch    495, Loss  0.780963, Average Loss  0.783582, Time  0.330604
2021-09-22 21:27:37.109896 : Epoch  2, Batch    739, Loss  0.863883, Average Loss  0.872937, Time  0.415632
2021-09-22 21:27:37.237398 : Epoch  2, Batch    496, Loss  0.782803, Average Loss  0.783564, Time  0.268349
2021-09-22 21:27:39.110989 : Epoch  2, Batch    497, Loss  0.770527, Average Loss  0.783497, Time  0.253928
2021-09-22 21:27:41.006771 : Epoch  2, Batch    498, Loss  0.781197, Average Loss  0.783530, Time  0.253444
2021-09-22 21:27:42.122073 : Epoch  2, Batch    740, Loss  0.858802, Average Loss  0.872907, Time  0.416198
2021-09-22 21:27:42.909805 : Epoch  2, Batch    499, Loss  0.773951, Average Loss  0.783454, Time  0.257117
2021-09-22 21:27:44.004365 : CheckPoint: Validation Loss  0.00032278, Best Loss  0.00031612
2021-09-22 21:27:44.814547 : Epoch  2, Batch    500, Loss  0.788254, Average Loss  0.783535, Time  0.252985
2021-09-22 21:27:45.889529 : Epoch  2, Batch    514, Loss  0.770646, Average Loss  0.778925, Time  0.249832
2021-09-22 21:27:46.706601 : Epoch  2, Batch    501, Loss  0.784893, Average Loss  0.783560, Time  0.253667
2021-09-22 21:27:47.146089 : Epoch  2, Batch    741, Loss  0.880013, Average Loss  0.872942, Time  0.415747
2021-09-22 21:27:47.749099 : Epoch  2, Batch    515, Loss  0.772738, Average Loss  0.778831, Time  0.250290
2021-09-22 21:27:48.600794 : Epoch  2, Batch    502, Loss  0.778654, Average Loss  0.783543, Time  0.253319
2021-09-22 21:27:49.612982 : Epoch  2, Batch    516, Loss  0.776618, Average Loss  0.778751, Time  0.249697
2021-09-22 21:27:50.494294 : Epoch  2, Batch    503, Loss  0.766856, Average Loss  0.783433, Time  0.254034
2021-09-22 21:27:51.474473 : Epoch  2, Batch    517, Loss  0.778910, Average Loss  0.778693, Time  0.249768
2021-09-22 21:27:52.165076 : Epoch  2, Batch    742, Loss  0.872671, Average Loss  0.872927, Time  0.421008
2021-09-22 21:27:52.400544 : Epoch  2, Batch    504, Loss  0.780478, Average Loss  0.783420, Time  0.253521
2021-09-22 21:27:53.340175 : Epoch  2, Batch    518, Loss  0.769231, Average Loss  0.778552, Time  0.249648
2021-09-22 21:27:54.293914 : Epoch  2, Batch    505, Loss  0.777855, Average Loss  0.783436, Time  0.253004
2021-09-22 21:27:55.219931 : Epoch  2, Batch    519, Loss  0.779661, Average Loss  0.778399, Time  0.250271
2021-09-22 21:27:56.191957 : Epoch  2, Batch    506, Loss  0.786484, Average Loss  0.783480, Time  0.254275
2021-09-22 21:27:57.095898 : Epoch  2, Batch    520, Loss  0.767593, Average Loss  0.778346, Time  0.252034
2021-09-22 21:27:57.192854 : Epoch  2, Batch    743, Loss  0.866157, Average Loss  0.872868, Time  0.418341
2021-09-22 21:27:58.082675 : Epoch  2, Batch    507, Loss  0.773609, Average Loss  0.783481, Time  0.254666
2021-09-22 21:27:58.962352 : Epoch  2, Batch    521, Loss  0.777055, Average Loss  0.778303, Time  0.250414
2021-09-22 21:27:59.984254 : Epoch  2, Batch    508, Loss  0.765906, Average Loss  0.783380, Time  0.258396
2021-09-22 21:28:00.827005 : Epoch  2, Batch    522, Loss  0.769476, Average Loss  0.778191, Time  0.249923
2021-09-22 21:28:01.895645 : Epoch  2, Batch    509, Loss  0.781670, Average Loss  0.783354, Time  0.253131
2021-09-22 21:28:02.239972 : Epoch  2, Batch    744, Loss  0.888843, Average Loss  0.872993, Time  0.449292
2021-09-22 21:28:02.693324 : Epoch  2, Batch    523, Loss  0.769797, Average Loss  0.778049, Time  0.254131
2021-09-22 21:28:03.792269 : Epoch  2, Batch    510, Loss  0.765523, Average Loss  0.783323, Time  0.256376
2021-09-22 21:28:04.548910 : Epoch  2, Batch    524, Loss  0.771272, Average Loss  0.777959, Time  0.252354
2021-09-22 21:28:05.693063 : Epoch  2, Batch    511, Loss  0.778224, Average Loss  0.783331, Time  0.256217
2021-09-22 21:28:06.418422 : Epoch  2, Batch    525, Loss  0.781879, Average Loss  0.777906, Time  0.252225
2021-09-22 21:28:07.267103 : Epoch  2, Batch    745, Loss  0.878867, Average Loss  0.873021, Time  0.416529
2021-09-22 21:28:07.590540 : Epoch  2, Batch    512, Loss  0.785739, Average Loss  0.783365, Time  0.252633
2021-09-22 21:28:08.297600 : Epoch  2, Batch    526, Loss  0.776671, Average Loss  0.777841, Time  0.254783
2021-09-22 21:28:09.475992 : Epoch  2, Batch    513, Loss  0.788991, Average Loss  0.783462, Time  0.254291
2021-09-22 21:28:10.165177 : Epoch  2, Batch    527, Loss  0.759274, Average Loss  0.777659, Time  0.253381
2021-09-22 21:28:12.045809 : Epoch  2, Batch    528, Loss  0.770387, Average Loss  0.777574, Time  0.249168
2021-09-22 21:28:12.291876 : Epoch  2, Batch    746, Loss  0.889319, Average Loss  0.873082, Time  0.415983
2021-09-22 21:28:13.906432 : Epoch  2, Batch    529, Loss  0.786405, Average Loss  0.777543, Time  0.251033
2021-09-22 21:28:15.773178 : Epoch  2, Batch    530, Loss  0.774807, Average Loss  0.777511, Time  0.251529
2021-09-22 21:28:17.245177 : Epoch  2, Batch    747, Loss  0.869357, Average Loss  0.873020, Time  0.413524
2021-09-22 21:28:17.638434 : Epoch  2, Batch    531, Loss  0.770566, Average Loss  0.777416, Time  0.253199
2021-09-22 21:28:19.507522 : Epoch  2, Batch    532, Loss  0.772792, Average Loss  0.777303, Time  0.255170
2021-09-22 21:28:21.380762 : Epoch  2, Batch    533, Loss  0.777125, Average Loss  0.777253, Time  0.249806
2021-09-22 21:28:22.216039 : Epoch  2, Batch    748, Loss  0.890277, Average Loss  0.873110, Time  0.414311
2021-09-22 21:28:23.260868 : Epoch  2, Batch    534, Loss  0.768484, Average Loss  0.777212, Time  0.249849
2021-09-22 21:28:25.231475 : Epoch  2, Batch    535, Loss  0.786278, Average Loss  0.777198, Time  0.327488
2021-09-22 21:28:27.102115 : Epoch  2, Batch    536, Loss  0.761256, Average Loss  0.777108, Time  0.249527
2021-09-22 21:28:27.267177 : Epoch  2, Batch    749, Loss  0.886477, Average Loss  0.873151, Time  0.417038
2021-09-22 21:28:28.975463 : Epoch  2, Batch    537, Loss  0.778395, Average Loss  0.777057, Time  0.250641
2021-09-22 21:28:30.842467 : Epoch  2, Batch    538, Loss  0.773552, Average Loss  0.776996, Time  0.250060
2021-09-22 21:28:32.293138 : Epoch  2, Batch    750, Loss  0.861152, Average Loss  0.873184, Time  0.417790
2021-09-22 21:28:32.728897 : Epoch  2, Batch    539, Loss  0.779513, Average Loss  0.777050, Time  0.252143
2021-09-22 21:28:34.588850 : Epoch  2, Batch    540, Loss  0.776980, Average Loss  0.777022, Time  0.250691
2021-09-22 21:28:36.457907 : Epoch  2, Batch    541, Loss  0.769857, Average Loss  0.776979, Time  0.249014
2021-09-22 21:28:37.309322 : Epoch  2, Batch    751, Loss  0.887683, Average Loss  0.873187, Time  0.416557
2021-09-22 21:28:38.393538 : Epoch  2, Batch    542, Loss  0.773722, Average Loss  0.776918, Time  0.325942
2021-09-22 21:28:40.265998 : Epoch  2, Batch    543, Loss  0.767879, Average Loss  0.776811, Time  0.260226
2021-09-22 21:28:42.129109 : Epoch  2, Batch    544, Loss  0.775159, Average Loss  0.776771, Time  0.249275
2021-09-22 21:28:42.335886 : Epoch  2, Batch    752, Loss  0.876326, Average Loss  0.873163, Time  0.417000
2021-09-22 21:28:43.997916 : Epoch  2, Batch    545, Loss  0.765537, Average Loss  0.776667, Time  0.252184
2021-09-22 21:28:45.878358 : Epoch  2, Batch    546, Loss  0.772689, Average Loss  0.776586, Time  0.252639
2021-09-22 21:28:47.394850 : Epoch  2, Batch    753, Loss  0.880307, Average Loss  0.873234, Time  0.460022
2021-09-22 21:28:47.754784 : Epoch  2, Batch    547, Loss  0.781273, Average Loss  0.776572, Time  0.250891
2021-09-22 21:28:49.602899 : Epoch  2, Batch    548, Loss  0.770535, Average Loss  0.776497, Time  0.249758
2021-09-22 21:28:51.472459 : Epoch  2, Batch    549, Loss  0.783274, Average Loss  0.776519, Time  0.250436
2021-09-22 21:28:52.441035 : Epoch  2, Batch    754, Loss  0.872924, Average Loss  0.873288, Time  0.414922
2021-09-22 21:28:53.354278 : Epoch  2, Batch    550, Loss  0.754240, Average Loss  0.776421, Time  0.251292
2021-09-22 21:28:55.309611 : Epoch  2, Batch    551, Loss  0.762565, Average Loss  0.776306, Time  0.328584
2021-09-22 21:28:57.174690 : Epoch  2, Batch    552, Loss  0.778094, Average Loss  0.776366, Time  0.250701
2021-09-22 21:28:57.450163 : Epoch  2, Batch    755, Loss  0.867653, Average Loss  0.873273, Time  0.420242
2021-09-22 21:28:59.041381 : Epoch  2, Batch    553, Loss  0.774077, Average Loss  0.776367, Time  0.250613
2021-09-22 21:29:00.913631 : Epoch  2, Batch    554, Loss  0.779794, Average Loss  0.776399, Time  0.250036
2021-09-22 21:29:02.467065 : Epoch  2, Batch    756, Loss  0.867025, Average Loss  0.873261, Time  0.414140
2021-09-22 21:29:02.799580 : Epoch  2, Batch    555, Loss  0.775114, Average Loss  0.776339, Time  0.254289
2021-09-22 21:29:04.658133 : Epoch  2, Batch    556, Loss  0.769698, Average Loss  0.776362, Time  0.249496
2021-09-22 21:29:06.523097 : Epoch  2, Batch    557, Loss  0.778221, Average Loss  0.776380, Time  0.251235
2021-09-22 21:29:07.441070 : Epoch  2, Batch    757, Loss  0.877913, Average Loss  0.873328, Time  0.413870
2021-09-22 21:29:08.386313 : Epoch  2, Batch    558, Loss  0.783392, Average Loss  0.776422, Time  0.250337
2021-09-22 21:29:10.355259 : Epoch  2, Batch    559, Loss  0.771786, Average Loss  0.776428, Time  0.332247
2021-09-22 21:29:12.229511 : Epoch  2, Batch    560, Loss  0.773780, Average Loss  0.776375, Time  0.250690
2021-09-22 21:29:12.442029 : Epoch  2, Batch    758, Loss  0.880328, Average Loss  0.873397, Time  0.414673
2021-09-22 21:29:14.118697 : Epoch  2, Batch    561, Loss  0.776964, Average Loss  0.776378, Time  0.256670
2021-09-22 21:29:15.978324 : Epoch  2, Batch    562, Loss  0.773961, Average Loss  0.776331, Time  0.250801
2021-09-22 21:29:17.461972 : Epoch  2, Batch    759, Loss  0.872245, Average Loss  0.873333, Time  0.415607
2021-09-22 21:29:17.841744 : Epoch  2, Batch    563, Loss  0.790414, Average Loss  0.776423, Time  0.249659
2021-09-22 21:29:19.709090 : Epoch  2, Batch    564, Loss  0.777607, Average Loss  0.776379, Time  0.252548
2021-09-22 21:29:20.706687 : CheckPoint: Validation Loss  0.00033126, Best Loss  0.00032209
2021-09-22 21:29:21.570967 : Epoch  2, Batch    565, Loss  0.765957, Average Loss  0.776320, Time  0.250387
2021-09-22 21:29:22.487843 : Epoch  2, Batch    760, Loss  0.876338, Average Loss  0.873363, Time  0.414681
2021-09-22 21:29:22.623518 : Epoch  2, Batch    514, Loss  0.781213, Average Loss  0.783525, Time  0.255730
2021-09-22 21:29:23.442091 : Epoch  2, Batch    566, Loss  0.772327, Average Loss  0.776229, Time  0.249117
2021-09-22 21:29:24.510261 : Epoch  2, Batch    515, Loss  0.773243, Average Loss  0.783445, Time  0.253456
2021-09-22 21:29:25.309246 : Epoch  2, Batch    567, Loss  0.771359, Average Loss  0.776261, Time  0.249239
2021-09-22 21:29:26.405955 : Epoch  2, Batch    516, Loss  0.782809, Average Loss  0.783437, Time  0.254339
2021-09-22 21:29:27.191799 : Epoch  2, Batch    568, Loss  0.780128, Average Loss  0.776281, Time  0.253985
2021-09-22 21:29:27.525999 : Epoch  2, Batch    761, Loss  0.866463, Average Loss  0.873314, Time  0.416523
2021-09-22 21:29:28.332171 : Epoch  2, Batch    517, Loss  0.773503, Average Loss  0.783420, Time  0.254368
2021-09-22 21:29:29.059086 : Epoch  2, Batch    569, Loss  0.775367, Average Loss  0.776294, Time  0.252530
2021-09-22 21:29:30.241897 : Epoch  2, Batch    518, Loss  0.771308, Average Loss  0.783350, Time  0.254084
2021-09-22 21:29:30.918031 : Epoch  2, Batch    570, Loss  0.773734, Average Loss  0.776246, Time  0.250077
2021-09-22 21:29:32.141690 : Epoch  2, Batch    519, Loss  0.782201, Average Loss  0.783469, Time  0.253502
2021-09-22 21:29:32.596827 : Epoch  2, Batch    762, Loss  0.865450, Average Loss  0.873247, Time  0.455612
2021-09-22 21:29:32.774447 : Epoch  2, Batch    571, Loss  0.773549, Average Loss  0.776251, Time  0.251949
2021-09-22 21:29:34.050983 : Epoch  2, Batch    520, Loss  0.769987, Average Loss  0.783480, Time  0.253570
2021-09-22 21:29:34.624547 : Epoch  2, Batch    572, Loss  0.771661, Average Loss  0.776219, Time  0.249708
2021-09-22 21:29:35.955317 : Epoch  2, Batch    521, Loss  0.776657, Average Loss  0.783466, Time  0.256089
2021-09-22 21:29:36.490412 : Epoch  2, Batch    573, Loss  0.766268, Average Loss  0.776104, Time  0.249779
2021-09-22 21:29:37.630938 : Epoch  2, Batch    763, Loss  0.876309, Average Loss  0.873196, Time  0.416362
2021-09-22 21:29:37.859934 : Epoch  2, Batch    522, Loss  0.770584, Average Loss  0.783424, Time  0.257049
2021-09-22 21:29:38.365838 : Epoch  2, Batch    574, Loss  0.772282, Average Loss  0.776084, Time  0.249134
2021-09-22 21:29:39.773488 : Epoch  2, Batch    523, Loss  0.772864, Average Loss  0.783417, Time  0.254236
2021-09-22 21:29:40.225452 : Epoch  2, Batch    575, Loss  0.776472, Average Loss  0.776072, Time  0.249911
2021-09-22 21:29:41.670382 : Epoch  2, Batch    524, Loss  0.778470, Average Loss  0.783332, Time  0.255613
2021-09-22 21:29:42.088118 : Epoch  2, Batch    576, Loss  0.770314, Average Loss  0.776079, Time  0.249453
2021-09-22 21:29:42.648806 : Epoch  2, Batch    764, Loss  0.858874, Average Loss  0.873132, Time  0.415048
2021-09-22 21:29:43.572470 : Epoch  2, Batch    525, Loss  0.763937, Average Loss  0.783217, Time  0.253716
2021-09-22 21:29:43.941430 : Epoch  2, Batch    577, Loss  0.778603, Average Loss  0.776032, Time  0.250186
2021-09-22 21:29:45.479496 : Epoch  2, Batch    526, Loss  0.780425, Average Loss  0.783217, Time  0.252838
2021-09-22 21:29:45.798937 : Epoch  2, Batch    578, Loss  0.785448, Average Loss  0.776075, Time  0.249244
2021-09-22 21:29:47.379885 : Epoch  2, Batch    527, Loss  0.768930, Average Loss  0.783167, Time  0.253533
2021-09-22 21:29:47.665754 : Epoch  2, Batch    579, Loss  0.785996, Average Loss  0.776139, Time  0.250193
2021-09-22 21:29:47.681843 : Epoch  2, Batch    765, Loss  0.883856, Average Loss  0.873243, Time  0.416729
2021-09-22 21:29:49.260090 : Epoch  2, Batch    528, Loss  0.778771, Average Loss  0.783145, Time  0.253450
2021-09-22 21:29:49.538735 : Epoch  2, Batch    580, Loss  0.773067, Average Loss  0.776168, Time  0.253689
2021-09-22 21:29:51.166221 : Epoch  2, Batch    529, Loss  0.777354, Average Loss  0.783155, Time  0.253339
2021-09-22 21:29:51.410597 : Epoch  2, Batch    581, Loss  0.761719, Average Loss  0.776062, Time  0.252641
2021-09-22 21:29:52.752341 : Epoch  2, Batch    766, Loss  0.872506, Average Loss  0.873238, Time  0.414229
2021-09-22 21:29:53.056607 : Epoch  2, Batch    530, Loss  0.781977, Average Loss  0.783173, Time  0.253150
2021-09-22 21:29:53.281540 : Epoch  2, Batch    582, Loss  0.774958, Average Loss  0.776000, Time  0.266349
2021-09-22 21:29:55.154250 : Epoch  2, Batch    531, Loss  0.782824, Average Loss  0.783259, Time  0.406085
2021-09-22 21:29:55.241199 : Epoch  2, Batch    583, Loss  0.776277, Average Loss  0.775976, Time  0.358900
2021-09-22 21:29:57.074342 : Epoch  2, Batch    532, Loss  0.785675, Average Loss  0.783263, Time  0.265045
2021-09-22 21:29:57.727069 : Epoch  2, Batch    767, Loss  0.874506, Average Loss  0.873269, Time  0.414344
2021-09-22 21:29:58.966878 : Epoch  2, Batch    533, Loss  0.775803, Average Loss  0.783273, Time  0.254195
2021-09-22 21:29:59.318483 : Epoch  2, Batch    584, Loss  0.778470, Average Loss  0.775976, Time  0.249378
2021-09-22 21:30:00.849480 : Epoch  2, Batch    534, Loss  0.784801, Average Loss  0.783260, Time  0.253837
2021-09-22 21:30:01.208717 : Epoch  2, Batch    585, Loss  0.772254, Average Loss  0.775934, Time  0.250094
2021-09-22 21:30:02.758330 : Epoch  2, Batch    535, Loss  0.766418, Average Loss  0.783195, Time  0.253185
2021-09-22 21:30:02.765840 : Epoch  2, Batch    768, Loss  0.868803, Average Loss  0.873265, Time  0.415469
2021-09-22 21:30:03.073922 : Epoch  2, Batch    586, Loss  0.778009, Average Loss  0.775970, Time  0.249506
2021-09-22 21:30:04.657652 : Epoch  2, Batch    536, Loss  0.784975, Average Loss  0.783200, Time  0.254194
2021-09-22 21:30:04.942073 : Epoch  2, Batch    587, Loss  0.767385, Average Loss  0.775950, Time  0.251990
2021-09-22 21:30:06.552938 : Epoch  2, Batch    537, Loss  0.780814, Average Loss  0.783192, Time  0.253859
2021-09-22 21:30:06.823383 : Epoch  2, Batch    588, Loss  0.765586, Average Loss  0.775876, Time  0.251578
2021-09-22 21:30:07.825849 : Epoch  2, Batch    769, Loss  0.885347, Average Loss  0.873272, Time  0.415386
2021-09-22 21:30:08.462323 : Epoch  2, Batch    538, Loss  0.772300, Average Loss  0.783085, Time  0.253760
2021-09-22 21:30:08.695935 : Epoch  2, Batch    589, Loss  0.762379, Average Loss  0.775775, Time  0.256398
2021-09-22 21:30:10.401848 : Epoch  2, Batch    539, Loss  0.776995, Average Loss  0.783067, Time  0.303059
2021-09-22 21:30:10.587161 : Epoch  2, Batch    590, Loss  0.771578, Average Loss  0.775769, Time  0.284425
2021-09-22 21:30:12.444184 : Epoch  2, Batch    540, Loss  0.767955, Average Loss  0.782947, Time  0.398036
2021-09-22 21:30:12.551441 : Epoch  2, Batch    591, Loss  0.773045, Average Loss  0.775741, Time  0.363117
2021-09-22 21:30:12.852405 : Epoch  2, Batch    770, Loss  0.882199, Average Loss  0.873251, Time  0.414577
2021-09-22 21:30:14.568196 : Epoch  2, Batch    541, Loss  0.783472, Average Loss  0.782974, Time  0.488311
2021-09-22 21:30:14.604011 : Epoch  2, Batch    592, Loss  0.779558, Average Loss  0.775742, Time  0.449537
2021-09-22 21:30:16.731678 : Epoch  2, Batch    593, Loss  0.771290, Average Loss  0.775656, Time  0.509315
2021-09-22 21:30:16.769661 : Epoch  2, Batch    542, Loss  0.768081, Average Loss  0.782902, Time  0.523209
2021-09-22 21:30:17.941894 : Epoch  2, Batch    771, Loss  0.884314, Average Loss  0.873294, Time  0.462127
2021-09-22 21:30:18.826823 : Epoch  2, Batch    594, Loss  0.780741, Average Loss  0.775705, Time  0.484935
2021-09-22 21:30:18.868382 : Epoch  2, Batch    543, Loss  0.777548, Average Loss  0.782878, Time  0.453902
2021-09-22 21:30:20.927145 : Epoch  2, Batch    595, Loss  0.774831, Average Loss  0.775691, Time  0.485180
2021-09-22 21:30:20.968342 : Epoch  2, Batch    544, Loss  0.784488, Average Loss  0.782906, Time  0.455749
2021-09-22 21:30:22.964107 : Epoch  2, Batch    772, Loss  0.876333, Average Loss  0.873331, Time  0.415433
2021-09-22 21:30:23.042139 : Epoch  2, Batch    596, Loss  0.778557, Average Loss  0.775727, Time  0.491902
2021-09-22 21:30:23.083179 : Epoch  2, Batch    545, Loss  0.766506, Average Loss  0.782831, Time  0.460646
2021-09-22 21:30:25.144880 : Epoch  2, Batch    597, Loss  0.770172, Average Loss  0.775690, Time  0.481859
2021-09-22 21:30:25.184602 : Epoch  2, Batch    546, Loss  0.770496, Average Loss  0.782048, Time  0.454264
2021-09-22 21:30:27.230160 : Epoch  2, Batch    598, Loss  0.781981, Average Loss  0.775759, Time  0.470367
2021-09-22 21:30:27.278505 : Epoch  2, Batch    547, Loss  0.774130, Average Loss  0.781987, Time  0.439037
2021-09-22 21:30:29.332337 : Epoch  2, Batch    599, Loss  0.775228, Average Loss  0.775700, Time  0.481144
2021-09-22 21:30:29.380510 : Epoch  2, Batch    548, Loss  0.785576, Average Loss  0.781939, Time  0.453649
2021-09-22 21:30:31.446153 : Epoch  2, Batch    600, Loss  0.769224, Average Loss  0.775635, Time  0.485074
2021-09-22 21:30:31.485247 : Epoch  2, Batch    549, Loss  0.782059, Average Loss  0.781783, Time  0.455087
2021-09-22 21:30:33.563210 : Epoch  2, Batch    601, Loss  0.764265, Average Loss  0.775557, Time  0.496130
2021-09-22 21:30:33.598343 : Epoch  2, Batch    550, Loss  0.783223, Average Loss  0.781668, Time  0.460305
2021-09-22 21:30:35.681320 : Epoch  2, Batch    602, Loss  0.767473, Average Loss  0.775504, Time  0.492064
2021-09-22 21:30:35.713423 : Epoch  2, Batch    551, Loss  0.780769, Average Loss  0.781534, Time  0.463202
2021-09-22 21:30:37.778153 : Epoch  2, Batch    603, Loss  0.781098, Average Loss  0.775579, Time  0.483531
2021-09-22 21:30:37.832523 : Epoch  2, Batch    552, Loss  0.780912, Average Loss  0.781403, Time  0.466728
2021-09-22 21:30:39.891697 : Epoch  2, Batch    604, Loss  0.773925, Average Loss  0.775548, Time  0.474574
2021-09-22 21:30:39.948989 : Epoch  2, Batch    553, Loss  0.774870, Average Loss  0.781302, Time  0.445283
2021-09-22 21:30:41.984711 : Epoch  2, Batch    605, Loss  0.766230, Average Loss  0.775467, Time  0.465669
2021-09-22 21:30:42.041098 : Epoch  2, Batch    554, Loss  0.778510, Average Loss  0.781198, Time  0.438817
2021-09-22 21:30:44.080050 : Epoch  2, Batch    606, Loss  0.776293, Average Loss  0.775512, Time  0.474478
2021-09-22 21:30:44.130807 : Epoch  2, Batch    555, Loss  0.778953, Average Loss  0.781118, Time  0.445221
2021-09-22 21:30:46.177422 : Epoch  2, Batch    607, Loss  0.775784, Average Loss  0.775537, Time  0.474933
2021-09-22 21:30:46.224888 : Epoch  2, Batch    556, Loss  0.789991, Average Loss  0.781037, Time  0.445657
2021-09-22 21:30:48.282076 : Epoch  2, Batch    608, Loss  0.762871, Average Loss  0.775450, Time  0.485257
2021-09-22 21:30:48.324969 : Epoch  2, Batch    557, Loss  0.771865, Average Loss  0.780899, Time  0.455568
2021-09-22 21:30:50.403206 : Epoch  2, Batch    609, Loss  0.769142, Average Loss  0.775379, Time  0.488825
2021-09-22 21:30:50.442520 : Epoch  2, Batch    558, Loss  0.776582, Average Loss  0.780784, Time  0.456999
2021-09-22 21:30:52.514298 : Epoch  2, Batch    610, Loss  0.768601, Average Loss  0.775307, Time  0.493719
2021-09-22 21:30:52.548574 : Epoch  2, Batch    559, Loss  0.781010, Average Loss  0.780694, Time  0.456730
2021-09-22 21:30:54.631813 : Epoch  2, Batch    611, Loss  0.789594, Average Loss  0.775302, Time  0.492866
2021-09-22 21:30:54.665495 : Epoch  2, Batch    560, Loss  0.788755, Average Loss  0.780616, Time  0.460886
2021-09-22 21:30:56.762644 : Epoch  2, Batch    612, Loss  0.767807, Average Loss  0.775290, Time  0.496578
2021-09-22 21:30:56.802547 : Epoch  2, Batch    561, Loss  0.766835, Average Loss  0.780471, Time  0.472496
2021-09-22 21:30:58.910077 : Epoch  2, Batch    613, Loss  0.773492, Average Loss  0.775258, Time  0.504700
2021-09-22 21:30:58.950369 : Epoch  2, Batch    562, Loss  0.770519, Average Loss  0.780328, Time  0.483373
2021-09-22 21:31:00.853659 : Epoch  2, Batch    563, Loss  0.778273, Average Loss  0.780260, Time  0.256612
2021-09-22 21:31:02.764418 : Epoch  2, Batch    564, Loss  0.773376, Average Loss  0.780127, Time  0.257881
2021-09-22 21:31:04.671968 : Epoch  2, Batch    565, Loss  0.790481, Average Loss  0.780070, Time  0.254438
2021-09-22 21:31:06.670535 : Epoch  2, Batch    566, Loss  0.777159, Average Loss  0.780010, Time  0.328034
2021-09-22 21:31:08.564283 : Epoch  2, Batch    567, Loss  0.783746, Average Loss  0.780012, Time  0.253354
2021-09-22 21:31:10.478994 : Epoch  2, Batch    568, Loss  0.775923, Average Loss  0.779931, Time  0.252645
2021-09-22 21:31:12.383212 : Epoch  2, Batch    569, Loss  0.786224, Average Loss  0.779884, Time  0.253631
2021-09-22 21:31:14.302354 : Epoch  2, Batch    570, Loss  0.775919, Average Loss  0.779800, Time  0.257779
2021-09-22 21:31:16.212435 : Epoch  2, Batch    571, Loss  0.786305, Average Loss  0.779768, Time  0.254524
2021-09-22 21:31:18.123720 : Epoch  2, Batch    572, Loss  0.780007, Average Loss  0.779706, Time  0.253943
2021-09-22 21:31:20.114017 : Epoch  2, Batch    573, Loss  0.783202, Average Loss  0.779647, Time  0.332219
2021-09-22 21:31:22.021319 : Epoch  2, Batch    574, Loss  0.788175, Average Loss  0.779670, Time  0.256300
2021-09-22 21:31:23.920216 : Epoch  2, Batch    575, Loss  0.776635, Average Loss  0.779597, Time  0.253728
2021-09-22 21:31:25.826297 : Epoch  2, Batch    576, Loss  0.774319, Average Loss  0.779599, Time  0.256598
2021-09-22 21:31:27.728086 : Epoch  2, Batch    577, Loss  0.777446, Average Loss  0.779494, Time  0.253262
2021-09-22 21:31:29.627801 : Epoch  2, Batch    578, Loss  0.778301, Average Loss  0.779421, Time  0.254645
2021-09-22 21:31:31.620929 : Epoch  2, Batch    579, Loss  0.780654, Average Loss  0.779402, Time  0.328758
2021-09-22 21:31:33.525408 : Epoch  2, Batch    580, Loss  0.773456, Average Loss  0.779345, Time  0.254160
2021-09-22 21:31:35.432465 : Epoch  2, Batch    581, Loss  0.768074, Average Loss  0.779234, Time  0.253352
2021-09-22 21:31:37.333917 : Epoch  2, Batch    582, Loss  0.767630, Average Loss  0.779199, Time  0.254444
2021-09-22 21:31:39.223433 : Epoch  2, Batch    583, Loss  0.773361, Average Loss  0.779155, Time  0.253918
2021-09-22 21:31:43.380518 : Epoch  2, Batch    584, Loss  0.785098, Average Loss  0.779185, Time  0.262369
2021-09-22 21:31:45.285116 : Epoch  2, Batch    585, Loss  0.781914, Average Loss  0.779166, Time  0.255638
2021-09-22 21:31:47.177524 : Epoch  2, Batch    586, Loss  0.776286, Average Loss  0.779098, Time  0.252749
2021-09-22 21:31:49.085472 : Epoch  2, Batch    587, Loss  0.774033, Average Loss  0.779053, Time  0.254717
2021-09-22 21:31:50.983981 : Epoch  2, Batch    588, Loss  0.779219, Average Loss  0.778995, Time  0.253875
2021-09-22 21:31:52.888155 : Epoch  2, Batch    589, Loss  0.781389, Average Loss  0.778977, Time  0.256689
2021-09-22 21:31:54.849906 : Epoch  2, Batch    590, Loss  0.787806, Average Loss  0.778978, Time  0.329375
2021-09-22 21:31:56.745303 : Epoch  2, Batch    591, Loss  0.778709, Average Loss  0.778987, Time  0.254974
2021-09-22 21:31:58.644200 : Epoch  2, Batch    592, Loss  0.780974, Average Loss  0.779057, Time  0.253196
2021-09-22 21:32:00.535940 : Epoch  2, Batch    593, Loss  0.779088, Average Loss  0.779052, Time  0.255941
2021-09-22 21:32:02.428680 : Epoch  2, Batch    594, Loss  0.772855, Average Loss  0.778976, Time  0.258594
2021-09-22 21:32:04.329909 : Epoch  2, Batch    595, Loss  0.780054, Average Loss  0.778958, Time  0.253827
2021-09-22 21:32:06.295705 : Epoch  2, Batch    596, Loss  0.773285, Average Loss  0.778949, Time  0.328567
2021-09-22 21:32:08.202864 : Epoch  2, Batch    597, Loss  0.774500, Average Loss  0.778927, Time  0.266652
2021-09-22 21:32:10.115951 : Epoch  2, Batch    598, Loss  0.778025, Average Loss  0.778933, Time  0.254820
2021-09-22 21:32:10.169203 : CheckPoint: Validation Loss  0.00033003, Best Loss  0.00031612
2021-09-22 21:32:12.281275 : Epoch  2, Batch    599, Loss  0.779854, Average Loss  0.778947, Time  0.511003
2021-09-22 21:32:12.324109 : Epoch  2, Batch    614, Loss  0.765896, Average Loss  0.775133, Time  0.486394
2021-09-22 21:32:14.444061 : Epoch  2, Batch    600, Loss  0.778904, Average Loss  0.778932, Time  0.521320
2021-09-22 21:32:14.478457 : Epoch  2, Batch    615, Loss  0.755597, Average Loss  0.775011, Time  0.511184
2021-09-22 21:32:16.580448 : Epoch  2, Batch    601, Loss  0.775389, Average Loss  0.778883, Time  0.508962
2021-09-22 21:32:16.613123 : Epoch  2, Batch    616, Loss  0.757095, Average Loss  0.774908, Time  0.484681
2021-09-22 21:32:18.733780 : Epoch  2, Batch    602, Loss  0.772874, Average Loss  0.778819, Time  0.515188
2021-09-22 21:32:18.774258 : Epoch  2, Batch    617, Loss  0.771307, Average Loss  0.774889, Time  0.491778
2021-09-22 21:32:20.873923 : Epoch  2, Batch    603, Loss  0.779530, Average Loss  0.778864, Time  0.510954
2021-09-22 21:32:20.915030 : Epoch  2, Batch    618, Loss  0.768731, Average Loss  0.774841, Time  0.488438
2021-09-22 21:32:23.046991 : Epoch  2, Batch    619, Loss  0.773766, Average Loss  0.774822, Time  0.506750
2021-09-22 21:32:23.084820 : Epoch  2, Batch    604, Loss  0.780158, Average Loss  0.778844, Time  0.517944
2021-09-22 21:32:25.179761 : Epoch  2, Batch    620, Loss  0.769807, Average Loss  0.774779, Time  0.495490
2021-09-22 21:32:25.214439 : Epoch  2, Batch    605, Loss  0.761920, Average Loss  0.778674, Time  0.467879
2021-09-22 21:32:27.295337 : Epoch  2, Batch    621, Loss  0.779361, Average Loss  0.774761, Time  0.494018
2021-09-22 21:32:27.343642 : Epoch  2, Batch    606, Loss  0.771300, Average Loss  0.778654, Time  0.467142
2021-09-22 21:32:29.416252 : Epoch  2, Batch    622, Loss  0.783538, Average Loss  0.774823, Time  0.481243
2021-09-22 21:32:29.468865 : Epoch  2, Batch    607, Loss  0.776889, Average Loss  0.778618, Time  0.458738
2021-09-22 21:32:31.550534 : Epoch  2, Batch    623, Loss  0.765216, Average Loss  0.774805, Time  0.496328
2021-09-22 21:32:31.584308 : Epoch  2, Batch    608, Loss  0.788350, Average Loss  0.778634, Time  0.464123
2021-09-22 21:32:33.732922 : Epoch  2, Batch    624, Loss  0.775402, Average Loss  0.774777, Time  0.515201
2021-09-22 21:32:33.765524 : Epoch  2, Batch    609, Loss  0.779710, Average Loss  0.778544, Time  0.494497
2021-09-22 21:32:35.917850 : Epoch  2, Batch    610, Loss  0.783094, Average Loss  0.778559, Time  0.518194
2021-09-22 21:32:35.955072 : Epoch  2, Batch    625, Loss  0.776134, Average Loss  0.774758, Time  0.515147
2021-09-22 21:32:38.091854 : Epoch  2, Batch    611, Loss  0.780067, Average Loss  0.778574, Time  0.519247
2021-09-22 21:32:38.129349 : Epoch  2, Batch    626, Loss  0.786385, Average Loss  0.774796, Time  0.511900
2021-09-22 21:32:40.282651 : Epoch  2, Batch    627, Loss  0.771121, Average Loss  0.774767, Time  0.515358
2021-09-22 21:32:40.352508 : Epoch  2, Batch    612, Loss  0.778310, Average Loss  0.778513, Time  0.509172
2021-09-22 21:32:42.416453 : Epoch  2, Batch    628, Loss  0.772642, Average Loss  0.774751, Time  0.491121
2021-09-22 21:32:42.458028 : Epoch  2, Batch    613, Loss  0.782123, Average Loss  0.778448, Time  0.455202
2021-09-22 21:32:44.369944 : Epoch  2, Batch    629, Loss  0.767897, Average Loss  0.774672, Time  0.254574
2021-09-22 21:32:46.253097 : Epoch  2, Batch    630, Loss  0.772729, Average Loss  0.774727, Time  0.252053
2021-09-22 21:32:48.217610 : Epoch  2, Batch    631, Loss  0.767700, Average Loss  0.774658, Time  0.327121
2021-09-22 21:32:50.087036 : Epoch  2, Batch    632, Loss  0.784959, Average Loss  0.774733, Time  0.249300
2021-09-22 21:32:51.969259 : Epoch  2, Batch    633, Loss  0.777157, Average Loss  0.774769, Time  0.249814
2021-09-22 21:32:53.848386 : Epoch  2, Batch    634, Loss  0.774016, Average Loss  0.774732, Time  0.257778
2021-09-22 21:32:55.723140 : Epoch  2, Batch    635, Loss  0.770473, Average Loss  0.774742, Time  0.251763
2021-09-22 21:32:57.615823 : Epoch  2, Batch    636, Loss  0.769125, Average Loss  0.774676, Time  0.249324
2021-09-22 21:32:59.490217 : Epoch  2, Batch    637, Loss  0.772988, Average Loss  0.774688, Time  0.249335
2021-09-22 21:33:01.432855 : Epoch  2, Batch    638, Loss  0.780715, Average Loss  0.774681, Time  0.325592
2021-09-22 21:33:03.315923 : Epoch  2, Batch    639, Loss  0.762797, Average Loss  0.774595, Time  0.252664
2021-09-22 21:33:05.196438 : Epoch  2, Batch    640, Loss  0.769202, Average Loss  0.774520, Time  0.254215
2021-09-22 21:33:07.065115 : Epoch  2, Batch    641, Loss  0.767735, Average Loss  0.774384, Time  0.249510
2021-09-22 21:33:08.934478 : Epoch  2, Batch    642, Loss  0.780665, Average Loss  0.774401, Time  0.251301
2021-09-22 21:33:10.820341 : Epoch  2, Batch    643, Loss  0.780686, Average Loss  0.774364, Time  0.249575
2021-09-22 21:33:12.693906 : Epoch  2, Batch    644, Loss  0.781035, Average Loss  0.774376, Time  0.253592
2021-09-22 21:33:14.565720 : Epoch  2, Batch    645, Loss  0.772604, Average Loss  0.774301, Time  0.249125
2021-09-22 21:33:16.513982 : Epoch  2, Batch    646, Loss  0.776323, Average Loss  0.774290, Time  0.326946
2021-09-22 21:33:18.390689 : Epoch  2, Batch    647, Loss  0.769681, Average Loss  0.774213, Time  0.250573
2021-09-22 21:33:20.272330 : Epoch  2, Batch    648, Loss  0.784921, Average Loss  0.774226, Time  0.250747
2021-09-22 21:33:22.147832 : Epoch  2, Batch    649, Loss  0.772074, Average Loss  0.774220, Time  0.249548
2021-09-22 21:33:24.021291 : Epoch  2, Batch    650, Loss  0.772496, Average Loss  0.774187, Time  0.249151
2021-09-22 21:33:25.896262 : Epoch  2, Batch    651, Loss  0.770837, Average Loss  0.774137, Time  0.250978
2021-09-22 21:33:27.770343 : Epoch  2, Batch    652, Loss  0.786030, Average Loss  0.774137, Time  0.251223
2021-09-22 21:33:29.705597 : Epoch  2, Batch    653, Loss  0.772834, Average Loss  0.774137, Time  0.324003
2021-09-22 21:33:31.580195 : Epoch  2, Batch    654, Loss  0.778470, Average Loss  0.774170, Time  0.254979
2021-09-22 21:33:33.466861 : Epoch  2, Batch    655, Loss  0.772393, Average Loss  0.774137, Time  0.260145
2021-09-22 21:33:35.355412 : Epoch  2, Batch    656, Loss  0.769919, Average Loss  0.774090, Time  0.249138
2021-09-22 21:33:37.221839 : Epoch  2, Batch    657, Loss  0.761845, Average Loss  0.774000, Time  0.250588
2021-09-22 21:33:39.088773 : Epoch  2, Batch    658, Loss  0.778885, Average Loss  0.773993, Time  0.250427
2021-09-22 21:33:40.977376 : Epoch  2, Batch    659, Loss  0.771235, Average Loss  0.773953, Time  0.257506
2021-09-22 21:33:42.849303 : Epoch  2, Batch    660, Loss  0.779018, Average Loss  0.773988, Time  0.253691
2021-09-22 21:33:44.790110 : Epoch  2, Batch    661, Loss  0.772726, Average Loss  0.773958, Time  0.327132
2021-09-22 21:33:46.659563 : Epoch  2, Batch    662, Loss  0.783923, Average Loss  0.774021, Time  0.251508
2021-09-22 21:33:48.535963 : Epoch  2, Batch    663, Loss  0.769081, Average Loss  0.773977, Time  0.251636
2021-09-22 21:33:50.389398 : Epoch  2, Batch    664, Loss  0.769016, Average Loss  0.773917, Time  0.252123
2021-09-22 21:33:52.269526 : Epoch  2, Batch    665, Loss  0.771069, Average Loss  0.773900, Time  0.250263
2021-09-22 21:33:53.574826 : CheckPoint: Validation Loss  0.00031729, Best Loss  0.00031729
2021-09-22 21:33:53.611611 : Best Model Updated
2021-09-22 21:33:54.149840 : Epoch  2, Batch    666, Loss  0.785297, Average Loss  0.773947, Time  0.252930
2021-09-22 21:33:56.419363 : Epoch  2, Batch    667, Loss  0.771436, Average Loss  0.773953, Time  0.499621
2021-09-22 21:33:56.460501 : Epoch  2, Batch    614, Loss  0.773137, Average Loss  0.778403, Time  0.475889
2021-09-22 21:33:58.485292 : Epoch  2, Batch    668, Loss  0.785273, Average Loss  0.773981, Time  0.441627
2021-09-22 21:33:58.560318 : Epoch  2, Batch    615, Loss  0.773762, Average Loss  0.778422, Time  0.412920
2021-09-22 21:34:00.588367 : Epoch  2, Batch    669, Loss  0.779775, Average Loss  0.774012, Time  0.462638
2021-09-22 21:34:00.645053 : Epoch  2, Batch    616, Loss  0.787955, Average Loss  0.778434, Time  0.430424
2021-09-22 21:34:02.710703 : Epoch  2, Batch    670, Loss  0.770279, Average Loss  0.773940, Time  0.491245
2021-09-22 21:34:02.752347 : Epoch  2, Batch    617, Loss  0.769544, Average Loss  0.778418, Time  0.457360
2021-09-22 21:34:04.837082 : Epoch  2, Batch    671, Loss  0.769958, Average Loss  0.773927, Time  0.495655
2021-09-22 21:34:04.878039 : Epoch  2, Batch    618, Loss  0.765187, Average Loss  0.778376, Time  0.464663
2021-09-22 21:34:06.957882 : Epoch  2, Batch    672, Loss  0.773885, Average Loss  0.773921, Time  0.493224
2021-09-22 21:34:06.991504 : Epoch  2, Batch    619, Loss  0.779719, Average Loss  0.778421, Time  0.465381
2021-09-22 21:34:09.087176 : Epoch  2, Batch    673, Loss  0.789146, Average Loss  0.773975, Time  0.495549
2021-09-22 21:34:09.119884 : Epoch  2, Batch    620, Loss  0.777108, Average Loss  0.778382, Time  0.466728
2021-09-22 21:34:11.211206 : Epoch  2, Batch    674, Loss  0.765792, Average Loss  0.773924, Time  0.496576
2021-09-22 21:34:11.243178 : Epoch  2, Batch    621, Loss  0.783703, Average Loss  0.778402, Time  0.469225
2021-09-22 21:34:13.383011 : Epoch  2, Batch    675, Loss  0.773482, Average Loss  0.773938, Time  0.509224
2021-09-22 21:34:13.417289 : Epoch  2, Batch    622, Loss  0.770853, Average Loss  0.778353, Time  0.491228
2021-09-22 21:34:15.493736 : Epoch  2, Batch    676, Loss  0.775182, Average Loss  0.773958, Time  0.482652
2021-09-22 21:34:15.537387 : Epoch  2, Batch    623, Loss  0.778230, Average Loss  0.778324, Time  0.455570
2021-09-22 21:34:17.610227 : Epoch  2, Batch    677, Loss  0.774262, Average Loss  0.773926, Time  0.481587
2021-09-22 21:34:17.652935 : Epoch  2, Batch    624, Loss  0.782911, Average Loss  0.778326, Time  0.455181
2021-09-22 21:34:19.699474 : Epoch  2, Batch    678, Loss  0.769484, Average Loss  0.773915, Time  0.468976
2021-09-22 21:34:19.753435 : Epoch  2, Batch    625, Loss  0.772291, Average Loss  0.778317, Time  0.434030
2021-09-22 21:34:21.813282 : Epoch  2, Batch    679, Loss  0.779089, Average Loss  0.773960, Time  0.480921
2021-09-22 21:34:21.861015 : Epoch  2, Batch    626, Loss  0.790218, Average Loss  0.778399, Time  0.454805
2021-09-22 21:34:23.130155 : CheckPoint: Validation Loss  0.00015019, Best Loss  0.00014923
2021-09-22 21:34:23.904555 : Epoch  2, Batch    680, Loss  0.771574, Average Loss  0.773959, Time  0.461027
2021-09-22 21:34:23.956555 : Epoch  2, Batch    627, Loss  0.783089, Average Loss  0.778398, Time  0.430120
2021-09-22 21:34:26.010034 : Epoch  2, Batch    681, Loss  0.766110, Average Loss  0.773877, Time  0.476042
2021-09-22 21:34:26.055919 : Epoch  2, Batch    628, Loss  0.762198, Average Loss  0.778237, Time  0.446550
2021-09-22 21:34:28.127093 : Epoch  2, Batch    773, Loss  0.887045, Average Loss  0.873444, Time  0.414768
2021-09-22 21:34:28.146372 : Epoch  2, Batch    682, Loss  0.773944, Average Loss  0.773874, Time  0.494766
2021-09-22 21:34:28.192510 : Epoch  2, Batch    629, Loss  0.780861, Average Loss  0.778251, Time  0.465166
2021-09-22 21:34:30.256695 : Epoch  2, Batch    683, Loss  0.776413, Average Loss  0.773858, Time  0.479659
2021-09-22 21:34:30.299692 : Epoch  2, Batch    630, Loss  0.775165, Average Loss  0.778236, Time  0.447659
2021-09-22 21:34:32.216562 : Epoch  2, Batch    631, Loss  0.774384, Average Loss  0.778248, Time  0.254816
2021-09-22 21:34:33.156248 : Epoch  2, Batch    774, Loss  0.874775, Average Loss  0.873448, Time  0.429645
2021-09-22 21:34:34.122658 : Epoch  2, Batch    632, Loss  0.773046, Average Loss  0.778197, Time  0.255115
2021-09-22 21:34:34.364348 : Epoch  2, Batch    684, Loss  0.774372, Average Loss  0.773860, Time  0.253825
2021-09-22 21:34:36.037473 : Epoch  2, Batch    633, Loss  0.780606, Average Loss  0.778211, Time  0.255420
2021-09-22 21:34:36.256688 : Epoch  2, Batch    685, Loss  0.776014, Average Loss  0.773799, Time  0.264946
2021-09-22 21:34:38.041982 : Epoch  2, Batch    634, Loss  0.786677, Average Loss  0.778295, Time  0.350614
2021-09-22 21:34:38.187932 : Epoch  2, Batch    775, Loss  0.856603, Average Loss  0.873266, Time  0.414727
2021-09-22 21:34:40.154229 : Epoch  2, Batch    635, Loss  0.783651, Average Loss  0.778298, Time  0.450294
2021-09-22 21:34:40.220404 : Epoch  2, Batch    687, Loss  0.781524, Average Loss  0.773799, Time  0.411419
2021-09-22 21:34:42.299360 : Epoch  2, Batch    636, Loss  0.778255, Average Loss  0.778326, Time  0.502084
2021-09-22 21:34:42.330863 : Epoch  2, Batch    688, Loss  0.778039, Average Loss  0.773845, Time  0.468273
2021-09-22 21:34:43.283133 : Epoch  2, Batch    776, Loss  0.885485, Average Loss  0.873322, Time  0.419151
2021-09-22 21:34:44.466923 : Epoch  2, Batch    637, Loss  0.765099, Average Loss  0.778259, Time  0.522248
2021-09-22 21:34:44.495383 : Epoch  2, Batch    689, Loss  0.772948, Average Loss  0.773757, Time  0.517967
2021-09-22 21:34:46.635043 : Epoch  2, Batch    638, Loss  0.784593, Average Loss  0.778327, Time  0.519783
2021-09-22 21:34:46.670878 : Epoch  2, Batch    690, Loss  0.766206, Average Loss  0.773693, Time  0.507718
2021-09-22 21:34:48.293796 : Epoch  2, Batch    777, Loss  0.860358, Average Loss  0.873251, Time  0.417671
2021-09-22 21:34:48.813189 : Epoch  2, Batch    691, Loss  0.783875, Average Loss  0.773815, Time  0.513417
2021-09-22 21:34:48.844193 : Epoch  2, Batch    639, Loss  0.778697, Average Loss  0.778307, Time  0.523874
2021-09-22 21:34:50.927175 : Epoch  2, Batch    692, Loss  0.769654, Average Loss  0.773811, Time  0.491696
2021-09-22 21:34:50.958380 : Epoch  2, Batch    640, Loss  0.774172, Average Loss  0.778253, Time  0.459841
2021-09-22 21:34:53.036513 : Epoch  2, Batch    693, Loss  0.777825, Average Loss  0.773864, Time  0.494156
2021-09-22 21:34:53.064543 : Epoch  2, Batch    641, Loss  0.782361, Average Loss  0.778245, Time  0.456525
2021-09-22 21:34:53.361342 : Epoch  2, Batch    778, Loss  0.878662, Average Loss  0.873311, Time  0.415033
2021-09-22 21:34:55.162274 : Epoch  2, Batch    694, Loss  0.778896, Average Loss  0.773870, Time  0.501308
2021-09-22 21:34:55.195900 : Epoch  2, Batch    642, Loss  0.771288, Average Loss  0.778201, Time  0.480493
2021-09-22 21:34:57.277650 : Epoch  2, Batch    695, Loss  0.772529, Average Loss  0.773847, Time  0.493948
2021-09-22 21:34:57.310414 : Epoch  2, Batch    643, Loss  0.776667, Average Loss  0.778169, Time  0.466134
2021-09-22 21:34:58.380142 : Epoch  2, Batch    779, Loss  0.869774, Average Loss  0.873373, Time  0.416301
2021-09-22 21:34:59.393997 : Epoch  2, Batch    696, Loss  0.776415, Average Loss  0.773886, Time  0.496421
2021-09-22 21:34:59.433253 : Epoch  2, Batch    644, Loss  0.778025, Average Loss  0.778143, Time  0.473043
2021-09-22 21:35:01.500689 : Epoch  2, Batch    697, Loss  0.766630, Average Loss  0.773898, Time  0.487750
2021-09-22 21:35:01.536232 : Epoch  2, Batch    645, Loss  0.777669, Average Loss  0.778078, Time  0.456597
2021-09-22 21:35:03.435869 : Epoch  2, Batch    780, Loss  0.884529, Average Loss  0.873402, Time  0.459713
2021-09-22 21:35:03.620852 : Epoch  2, Batch    698, Loss  0.775167, Average Loss  0.773916, Time  0.498743
2021-09-22 21:35:03.646440 : Epoch  2, Batch    646, Loss  0.772867, Average Loss  0.778036, Time  0.470175
2021-09-22 21:35:05.731281 : Epoch  2, Batch    699, Loss  0.774363, Average Loss  0.773964, Time  0.493175
2021-09-22 21:35:05.769843 : Epoch  2, Batch    647, Loss  0.788976, Average Loss  0.778093, Time  0.467732
2021-09-22 21:35:07.926429 : Epoch  2, Batch    700, Loss  0.779285, Average Loss  0.774036, Time  0.517337
2021-09-22 21:35:07.961249 : Epoch  2, Batch    648, Loss  0.767575, Average Loss  0.778032, Time  0.511140
2021-09-22 21:35:08.486817 : Epoch  2, Batch    781, Loss  0.871098, Average Loss  0.873378, Time  0.416148
2021-09-22 21:35:10.036312 : Epoch  2, Batch    701, Loss  0.774023, Average Loss  0.774010, Time  0.494182
2021-09-22 21:35:10.068374 : Epoch  2, Batch    649, Loss  0.769235, Average Loss  0.777974, Time  0.467590
2021-09-22 21:35:12.155252 : Epoch  2, Batch    702, Loss  0.772637, Average Loss  0.773971, Time  0.495212
2021-09-22 21:35:12.188768 : Epoch  2, Batch    650, Loss  0.780582, Average Loss  0.777932, Time  0.462551
2021-09-22 21:35:13.532330 : Epoch  2, Batch    782, Loss  0.870464, Average Loss  0.873382, Time  0.415211
2021-09-22 21:35:14.318366 : Epoch  2, Batch    703, Loss  0.773854, Average Loss  0.773983, Time  0.508064
2021-09-22 21:35:14.348782 : Epoch  2, Batch    651, Loss  0.782052, Average Loss  0.777925, Time  0.492802
2021-09-22 21:35:16.438935 : Epoch  2, Batch    704, Loss  0.767171, Average Loss  0.773952, Time  0.496624
2021-09-22 21:35:16.469414 : Epoch  2, Batch    652, Loss  0.771961, Average Loss  0.777939, Time  0.471409
2021-09-22 21:35:18.539869 : Epoch  2, Batch    783, Loss  0.861590, Average Loss  0.873349, Time  0.414944
2021-09-22 21:35:18.550997 : Epoch  2, Batch    705, Loss  0.769059, Average Loss  0.773948, Time  0.492788
2021-09-22 21:35:18.626074 : Epoch  2, Batch    653, Loss  0.787559, Average Loss  0.778000, Time  0.459772
2021-09-22 21:35:20.708685 : Epoch  2, Batch    706, Loss  0.773544, Average Loss  0.773922, Time  0.492751
2021-09-22 21:35:20.750128 : Epoch  2, Batch    654, Loss  0.777705, Average Loss  0.778015, Time  0.462941
2021-09-22 21:35:22.812349 : Epoch  2, Batch    707, Loss  0.776474, Average Loss  0.773949, Time  0.478475
2021-09-22 21:35:22.856762 : Epoch  2, Batch    655, Loss  0.776136, Average Loss  0.778002, Time  0.451347
2021-09-22 21:35:23.555818 : Epoch  2, Batch    784, Loss  0.873472, Average Loss  0.873308, Time  0.415240
2021-09-22 21:35:24.935576 : Epoch  2, Batch    708, Loss  0.775126, Average Loss  0.773932, Time  0.492961
2021-09-22 21:35:24.972853 : Epoch  2, Batch    656, Loss  0.777374, Average Loss  0.778016, Time  0.466678
2021-09-22 21:35:27.055474 : Epoch  2, Batch    709, Loss  0.779143, Average Loss  0.773951, Time  0.495450
2021-09-22 21:35:27.092377 : Epoch  2, Batch    657, Loss  0.778701, Average Loss  0.777975, Time  0.466592
2021-09-22 21:35:28.589649 : Epoch  2, Batch    785, Loss  0.885439, Average Loss  0.873368, Time  0.418808
2021-09-22 21:35:29.149772 : Epoch  2, Batch    710, Loss  0.765443, Average Loss  0.773916, Time  0.474878
2021-09-22 21:35:29.199058 : Epoch  2, Batch    658, Loss  0.771063, Average Loss  0.777916, Time  0.448784
2021-09-22 21:35:31.236792 : Epoch  2, Batch    711, Loss  0.781242, Average Loss  0.773846, Time  0.468266
2021-09-22 21:35:31.289648 : Epoch  2, Batch    659, Loss  0.786231, Average Loss  0.777961, Time  0.440733
2021-09-22 21:35:33.326030 : Epoch  2, Batch    712, Loss  0.764175, Average Loss  0.773813, Time  0.468777
2021-09-22 21:35:33.385749 : Epoch  2, Batch    660, Loss  0.765631, Average Loss  0.777938, Time  0.440950
2021-09-22 21:35:33.651840 : Epoch  2, Batch    786, Loss  0.888901, Average Loss  0.873459, Time  0.416430
2021-09-22 21:35:35.459482 : Epoch  2, Batch    713, Loss  0.783286, Average Loss  0.773851, Time  0.490310
2021-09-22 21:35:35.494599 : Epoch  2, Batch    661, Loss  0.771862, Average Loss  0.777939, Time  0.452109
2021-09-22 21:35:37.414335 : Epoch  2, Batch    662, Loss  0.781577, Average Loss  0.777947, Time  0.255574
2021-09-22 21:35:38.703887 : Epoch  2, Batch    787, Loss  0.882326, Average Loss  0.873535, Time  0.422541
2021-09-22 21:35:39.321854 : Epoch  2, Batch    663, Loss  0.765012, Average Loss  0.777910, Time  0.252986
2021-09-22 21:35:41.290427 : Epoch  2, Batch    664, Loss  0.779750, Average Loss  0.777853, Time  0.296275
2021-09-22 21:35:43.196039 : Epoch  2, Batch    665, Loss  0.781350, Average Loss  0.777860, Time  0.254702
2021-09-22 21:35:43.754034 : Epoch  2, Batch    788, Loss  0.858971, Average Loss  0.873459, Time  0.415494
2021-09-22 21:35:45.103109 : Epoch  2, Batch    666, Loss  0.783903, Average Loss  0.777922, Time  0.254839
2021-09-22 21:35:47.006008 : Epoch  2, Batch    667, Loss  0.777381, Average Loss  0.777888, Time  0.253235
2021-09-22 21:35:48.859084 : Epoch  2, Batch    789, Loss  0.865160, Average Loss  0.873391, Time  0.451989
2021-09-22 21:35:48.919369 : Epoch  2, Batch    668, Loss  0.782912, Average Loss  0.777947, Time  0.254157
2021-09-22 21:35:50.817349 : Epoch  2, Batch    669, Loss  0.769733, Average Loss  0.777895, Time  0.253422
2021-09-22 21:35:52.787773 : Epoch  2, Batch    670, Loss  0.767798, Average Loss  0.777867, Time  0.326855
2021-09-22 21:35:53.900903 : Epoch  2, Batch    790, Loss  0.854455, Average Loss  0.873320, Time  0.415641
2021-09-22 21:35:54.695000 : Epoch  2, Batch    671, Loss  0.786277, Average Loss  0.777891, Time  0.252820
2021-09-22 21:35:56.588149 : Epoch  2, Batch    672, Loss  0.782158, Average Loss  0.777952, Time  0.253484
2021-09-22 21:35:58.496801 : Epoch  2, Batch    673, Loss  0.772149, Average Loss  0.777905, Time  0.257230
2021-09-22 21:35:58.939158 : Epoch  2, Batch    791, Loss  0.869661, Average Loss  0.873323, Time  0.416011
2021-09-22 21:36:00.405011 : Epoch  2, Batch    674, Loss  0.788022, Average Loss  0.777975, Time  0.252799
2021-09-22 21:36:02.301009 : Epoch  2, Batch    675, Loss  0.777145, Average Loss  0.777951, Time  0.255091
2021-09-22 21:36:03.920814 : Epoch  2, Batch    792, Loss  0.882762, Average Loss  0.873359, Time  0.413898
2021-09-22 21:36:04.268931 : Epoch  2, Batch    676, Loss  0.773935, Average Loss  0.777994, Time  0.322763
2021-09-22 21:36:06.167047 : Epoch  2, Batch    677, Loss  0.790832, Average Loss  0.778068, Time  0.253264
2021-09-22 21:36:08.051750 : Epoch  2, Batch    678, Loss  0.773602, Average Loss  0.777963, Time  0.253994
2021-09-22 21:36:08.934789 : Epoch  2, Batch    793, Loss  0.876947, Average Loss  0.873314, Time  0.415730
2021-09-22 21:36:09.972400 : Epoch  2, Batch    679, Loss  0.777768, Average Loss  0.777956, Time  0.260900
2021-09-22 21:36:11.865104 : Epoch  2, Batch    680, Loss  0.772375, Average Loss  0.777920, Time  0.253276
2021-09-22 21:36:13.784534 : Epoch  2, Batch    681, Loss  0.779743, Average Loss  0.777874, Time  0.253288
2021-09-22 21:36:13.958116 : Epoch  2, Batch    794, Loss  0.883240, Average Loss  0.873391, Time  0.415088
2021-09-22 21:36:15.682435 : Epoch  2, Batch    682, Loss  0.789189, Average Loss  0.777926, Time  0.254354
2021-09-22 21:36:17.664095 : Epoch  2, Batch    683, Loss  0.768197, Average Loss  0.777883, Time  0.330309
2021-09-22 21:36:18.990202 : Epoch  2, Batch    795, Loss  0.871966, Average Loss  0.873354, Time  0.417637
2021-09-22 21:36:21.752087 : Epoch  2, Batch    684, Loss  0.769664, Average Loss  0.777807, Time  0.262444
2021-09-22 21:36:23.655315 : Epoch  2, Batch    685, Loss  0.775235, Average Loss  0.777777, Time  0.253025
2021-09-22 21:36:24.026810 : Epoch  2, Batch    796, Loss  0.872483, Average Loss  0.873400, Time  0.415352
2021-09-22 21:36:25.551880 : Epoch  2, Batch    686, Loss  0.780299, Average Loss  0.777772, Time  0.253011
2021-09-22 21:36:27.515484 : Epoch  2, Batch    687, Loss  0.775053, Average Loss  0.777745, Time  0.326402
2021-09-22 21:36:29.068088 : Epoch  2, Batch    797, Loss  0.877607, Average Loss  0.873425, Time  0.420313
2021-09-22 21:36:29.413033 : Epoch  2, Batch    688, Loss  0.776260, Average Loss  0.777796, Time  0.254501
2021-09-22 21:36:31.333052 : Epoch  2, Batch    689, Loss  0.777266, Average Loss  0.777721, Time  0.253723
2021-09-22 21:36:33.225196 : Epoch  2, Batch    690, Loss  0.785671, Average Loss  0.777720, Time  0.253541
2021-09-22 21:36:34.178006 : Epoch  2, Batch    798, Loss  0.882406, Average Loss  0.873479, Time  0.462804
2021-09-22 21:36:35.114219 : Epoch  2, Batch    691, Loss  0.781983, Average Loss  0.777758, Time  0.254240
2021-09-22 21:36:37.011627 : Epoch  2, Batch    692, Loss  0.775788, Average Loss  0.777739, Time  0.252926
2021-09-22 21:36:38.939650 : Epoch  2, Batch    693, Loss  0.783155, Average Loss  0.777765, Time  0.292345
2021-09-22 21:36:39.210089 : Epoch  2, Batch    799, Loss  0.862125, Average Loss  0.873424, Time  0.415860
2021-09-22 21:36:40.840827 : Epoch  2, Batch    694, Loss  0.782501, Average Loss  0.777756, Time  0.259588
2021-09-22 21:36:42.737338 : Epoch  2, Batch    695, Loss  0.769736, Average Loss  0.777700, Time  0.253536
2021-09-22 21:36:44.247988 : Epoch  2, Batch    800, Loss  0.874125, Average Loss  0.873390, Time  0.416658
2021-09-22 21:36:44.642390 : Epoch  2, Batch    696, Loss  0.776834, Average Loss  0.777670, Time  0.254181
2021-09-22 21:36:46.099474 : CheckPoint: Validation Loss  0.00032303, Best Loss  0.00031612
2021-09-22 21:36:46.534236 : Epoch  2, Batch    697, Loss  0.779516, Average Loss  0.777715, Time  0.254053
2021-09-22 21:36:47.996455 : Epoch  2, Batch    714, Loss  0.772238, Average Loss  0.773859, Time  0.250753
2021-09-22 21:36:48.425719 : Epoch  2, Batch    698, Loss  0.776928, Average Loss  0.777694, Time  0.257091
2021-09-22 21:36:49.262897 : Epoch  2, Batch    801, Loss  0.884575, Average Loss  0.873449, Time  0.414051
2021-09-22 21:36:49.879908 : Epoch  2, Batch    715, Loss  0.774677, Average Loss  0.773868, Time  0.251341
2021-09-22 21:36:50.312358 : Epoch  2, Batch    699, Loss  0.779719, Average Loss  0.777723, Time  0.254442
2021-09-22 21:36:51.777905 : Epoch  2, Batch    716, Loss  0.778717, Average Loss  0.773879, Time  0.250115
2021-09-22 21:36:52.209894 : Epoch  2, Batch    700, Loss  0.789798, Average Loss  0.777730, Time  0.254276
2021-09-22 21:36:53.650501 : Epoch  2, Batch    717, Loss  0.770393, Average Loss  0.773836, Time  0.249919
2021-09-22 21:36:54.106968 : Epoch  2, Batch    701, Loss  0.778830, Average Loss  0.777700, Time  0.253849
2021-09-22 21:36:54.244782 : Epoch  2, Batch    802, Loss  0.876993, Average Loss  0.873427, Time  0.413839
2021-09-22 21:36:55.519039 : Epoch  2, Batch    718, Loss  0.769224, Average Loss  0.773836, Time  0.251906
2021-09-22 21:36:56.001747 : Epoch  2, Batch    702, Loss  0.779426, Average Loss  0.777704, Time  0.252675
2021-09-22 21:36:57.436161 : Epoch  2, Batch    719, Loss  0.776324, Average Loss  0.773820, Time  0.249878
2021-09-22 21:36:57.888090 : Epoch  2, Batch    703, Loss  0.780290, Average Loss  0.777771, Time  0.253231
2021-09-22 21:36:59.232250 : Epoch  2, Batch    803, Loss  0.876695, Average Loss  0.873471, Time  0.419789
2021-09-22 21:36:59.315906 : Epoch  2, Batch    720, Loss  0.775306, Average Loss  0.773858, Time  0.249564
2021-09-22 21:36:59.770168 : Epoch  2, Batch    704, Loss  0.781367, Average Loss  0.777775, Time  0.253609
2021-09-22 21:37:01.198991 : Epoch  2, Batch    721, Loss  0.769590, Average Loss  0.773821, Time  0.249050
2021-09-22 21:37:01.678109 : Epoch  2, Batch    705, Loss  0.783398, Average Loss  0.777803, Time  0.253012
2021-09-22 21:37:03.088036 : Epoch  2, Batch    722, Loss  0.764291, Average Loss  0.773795, Time  0.250660
2021-09-22 21:37:03.583334 : Epoch  2, Batch    706, Loss  0.786313, Average Loss  0.777802, Time  0.254531
2021-09-22 21:37:04.277946 : Epoch  2, Batch    804, Loss  0.855831, Average Loss  0.873364, Time  0.414923
2021-09-22 21:37:04.972443 : Epoch  2, Batch    723, Loss  0.770288, Average Loss  0.773797, Time  0.251292
2021-09-22 21:37:05.489124 : Epoch  2, Batch    707, Loss  0.783048, Average Loss  0.777849, Time  0.254643
2021-09-22 21:37:06.855433 : Epoch  2, Batch    724, Loss  0.772966, Average Loss  0.773806, Time  0.250608
2021-09-22 21:37:07.395894 : Epoch  2, Batch    708, Loss  0.776616, Average Loss  0.777903, Time  0.254229
2021-09-22 21:37:08.737242 : Epoch  2, Batch    725, Loss  0.783012, Average Loss  0.773811, Time  0.250607
2021-09-22 21:37:09.306214 : Epoch  2, Batch    709, Loss  0.791675, Average Loss  0.777953, Time  0.253463
2021-09-22 21:37:09.318874 : Epoch  2, Batch    805, Loss  0.875361, Average Loss  0.873391, Time  0.415075
2021-09-22 21:37:10.604175 : Epoch  2, Batch    726, Loss  0.773046, Average Loss  0.773793, Time  0.249644
2021-09-22 21:37:11.212455 : Epoch  2, Batch    710, Loss  0.776139, Average Loss  0.778006, Time  0.252931
2021-09-22 21:37:12.477301 : Epoch  2, Batch    727, Loss  0.783993, Average Loss  0.773917, Time  0.249199
2021-09-22 21:37:13.118784 : Epoch  2, Batch    711, Loss  0.780753, Average Loss  0.778019, Time  0.253514
2021-09-22 21:37:14.354213 : Epoch  2, Batch    728, Loss  0.776771, Average Loss  0.773949, Time  0.250214
2021-09-22 21:37:14.375243 : Epoch  2, Batch    806, Loss  0.864889, Average Loss  0.873448, Time  0.416639
2021-09-22 21:37:15.020358 : Epoch  2, Batch    712, Loss  0.763073, Average Loss  0.777905, Time  0.253946
2021-09-22 21:37:16.218427 : Epoch  2, Batch    729, Loss  0.776186, Average Loss  0.773898, Time  0.251215
2021-09-22 21:37:16.936239 : Epoch  2, Batch    713, Loss  0.778308, Average Loss  0.777852, Time  0.256858
2021-09-22 21:37:18.097151 : Epoch  2, Batch    730, Loss  0.774222, Average Loss  0.773895, Time  0.252529
2021-09-22 21:37:19.453804 : Epoch  2, Batch    807, Loss  0.877017, Average Loss  0.873548, Time  0.454618
2021-09-22 21:37:19.988658 : Epoch  2, Batch    731, Loss  0.771050, Average Loss  0.773897, Time  0.250076
2021-09-22 21:37:21.873798 : Epoch  2, Batch    732, Loss  0.785449, Average Loss  0.773961, Time  0.249448
2021-09-22 21:37:23.757122 : Epoch  2, Batch    733, Loss  0.782866, Average Loss  0.773989, Time  0.251447
2021-09-22 21:37:24.510867 : Epoch  2, Batch    808, Loss  0.860623, Average Loss  0.873465, Time  0.416240
2021-09-22 21:37:25.647308 : Epoch  2, Batch    734, Loss  0.779926, Average Loss  0.774046, Time  0.251156
2021-09-22 21:37:27.620972 : Epoch  2, Batch    735, Loss  0.768242, Average Loss  0.773956, Time  0.326709
2021-09-22 21:37:29.509692 : Epoch  2, Batch    736, Loss  0.768920, Average Loss  0.773995, Time  0.251407
2021-09-22 21:37:29.518854 : Epoch  2, Batch    809, Loss  0.871031, Average Loss  0.873460, Time  0.416108
2021-09-22 21:37:31.396051 : Epoch  2, Batch    737, Loss  0.778849, Average Loss  0.773997, Time  0.255853
2021-09-22 21:37:33.295489 : Epoch  2, Batch    738, Loss  0.767819, Average Loss  0.773968, Time  0.249794
2021-09-22 21:37:34.582194 : Epoch  2, Batch    810, Loss  0.857413, Average Loss  0.873344, Time  0.418473
2021-09-22 21:37:35.195894 : Epoch  2, Batch    739, Loss  0.770218, Average Loss  0.773922, Time  0.249364
2021-09-22 21:37:37.071323 : Epoch  2, Batch    740, Loss  0.774928, Average Loss  0.773911, Time  0.251289
2021-09-22 21:37:38.951979 : Epoch  2, Batch    741, Loss  0.770147, Average Loss  0.773913, Time  0.250713
2021-09-22 21:37:39.594910 : Epoch  2, Batch    811, Loss  0.868838, Average Loss  0.873257, Time  0.416441
2021-09-22 21:37:40.905858 : Epoch  2, Batch    742, Loss  0.777058, Average Loss  0.773930, Time  0.327171
2021-09-22 21:37:42.784012 : Epoch  2, Batch    743, Loss  0.768547, Average Loss  0.773933, Time  0.250601
2021-09-22 21:37:44.615739 : Epoch  2, Batch    812, Loss  0.862620, Average Loss  0.873219, Time  0.414272
2021-09-22 21:37:44.676857 : Epoch  2, Batch    744, Loss  0.771325, Average Loss  0.773914, Time  0.252738
2021-09-22 21:37:46.554675 : Epoch  2, Batch    745, Loss  0.770324, Average Loss  0.773938, Time  0.252667
2021-09-22 21:37:48.463772 : Epoch  2, Batch    746, Loss  0.769587, Average Loss  0.773922, Time  0.252637
2021-09-22 21:37:49.647156 : Epoch  2, Batch    813, Loss  0.865530, Average Loss  0.873257, Time  0.420445
2021-09-22 21:37:50.354762 : Epoch  2, Batch    747, Loss  0.772386, Average Loss  0.773878, Time  0.250749
2021-09-22 21:37:52.230220 : Epoch  2, Batch    748, Loss  0.764672, Average Loss  0.773848, Time  0.249609
2021-09-22 21:37:54.190211 : Epoch  2, Batch    749, Loss  0.760488, Average Loss  0.773734, Time  0.326543
2021-09-22 21:37:54.745952 : Epoch  2, Batch    814, Loss  0.864507, Average Loss  0.873311, Time  0.414701
2021-09-22 21:37:56.066892 : Epoch  2, Batch    750, Loss  0.778623, Average Loss  0.773856, Time  0.249659
2021-09-22 21:37:57.939927 : Epoch  2, Batch    751, Loss  0.772250, Average Loss  0.773905, Time  0.250705
2021-09-22 21:37:59.805870 : Epoch  2, Batch    815, Loss  0.860575, Average Loss  0.873279, Time  0.416436
2021-09-22 21:37:59.815420 : Epoch  2, Batch    752, Loss  0.774901, Average Loss  0.773889, Time  0.249814
2021-09-22 21:38:01.713217 : Epoch  2, Batch    753, Loss  0.772794, Average Loss  0.773882, Time  0.250644
2021-09-22 21:38:03.586555 : Epoch  2, Batch    754, Loss  0.782483, Average Loss  0.773896, Time  0.250835
2021-09-22 21:38:04.893047 : Epoch  2, Batch    816, Loss  0.883556, Average Loss  0.873297, Time  0.470745
2021-09-22 21:38:05.468566 : Epoch  2, Batch    755, Loss  0.770886, Average Loss  0.773875, Time  0.254114
2021-09-22 21:38:07.348034 : Epoch  2, Batch    756, Loss  0.767541, Average Loss  0.773864, Time  0.250819
2021-09-22 21:38:09.296003 : Epoch  2, Batch    757, Loss  0.778647, Average Loss  0.773866, Time  0.325300
2021-09-22 21:38:09.937162 : Epoch  2, Batch    817, Loss  0.876398, Average Loss  0.873368, Time  0.415770
2021-09-22 21:38:11.175592 : Epoch  2, Batch    758, Loss  0.768539, Average Loss  0.773792, Time  0.259889
2021-09-22 21:38:13.051023 : Epoch  2, Batch    759, Loss  0.784062, Average Loss  0.773853, Time  0.249618
2021-09-22 21:38:14.934594 : Epoch  2, Batch    760, Loss  0.775317, Average Loss  0.773861, Time  0.250633
2021-09-22 21:38:14.973544 : Epoch  2, Batch    818, Loss  0.863472, Average Loss  0.873383, Time  0.415513
2021-09-22 21:38:16.806341 : Epoch  2, Batch    761, Loss  0.769221, Average Loss  0.773822, Time  0.249919
2021-09-22 21:38:18.686373 : Epoch  2, Batch    762, Loss  0.771772, Average Loss  0.773811, Time  0.252645
2021-09-22 21:38:20.029951 : Epoch  2, Batch    819, Loss  0.872452, Average Loss  0.873388, Time  0.415026
2021-09-22 21:38:20.556806 : Epoch  2, Batch    763, Loss  0.771338, Average Loss  0.773716, Time  0.249617
2021-09-22 21:38:22.515038 : Epoch  2, Batch    764, Loss  0.783713, Average Loss  0.773746, Time  0.325459
2021-09-22 21:38:24.384984 : Epoch  2, Batch    765, Loss  0.776105, Average Loss  0.773797, Time  0.249209
2021-09-22 21:38:25.045212 : Epoch  2, Batch    820, Loss  0.878277, Average Loss  0.873378, Time  0.415224
2021-09-22 21:38:26.270369 : Epoch  2, Batch    766, Loss  0.782856, Average Loss  0.773850, Time  0.249706
2021-09-22 21:38:28.066486 : CheckPoint: Validation Loss  0.00032108, Best Loss  0.00031729
2021-09-22 21:38:28.186251 : Epoch  2, Batch    767, Loss  0.782578, Average Loss  0.773906, Time  0.279458
2021-09-22 21:38:30.021754 : Epoch  2, Batch    821, Loss  0.893790, Average Loss  0.873488, Time  0.414089
2021-09-22 21:38:30.162432 : Epoch  2, Batch    714, Loss  0.776474, Average Loss  0.777828, Time  0.451869
2021-09-22 21:38:30.230832 : Epoch  2, Batch    768, Loss  0.782550, Average Loss  0.773918, Time  0.413670
2021-09-22 21:38:32.297916 : Epoch  2, Batch    715, Loss  0.773163, Average Loss  0.777828, Time  0.497788
2021-09-22 21:38:32.322125 : Epoch  2, Batch    769, Loss  0.776076, Average Loss  0.773922, Time  0.460629
2021-09-22 21:38:34.455734 : Epoch  2, Batch    770, Loss  0.768774, Average Loss  0.773897, Time  0.517626
2021-09-22 21:38:34.487015 : Epoch  2, Batch    716, Loss  0.780455, Average Loss  0.777816, Time  0.521294
2021-09-22 21:38:35.026526 : Epoch  2, Batch    822, Loss  0.875916, Average Loss  0.873548, Time  0.416534
2021-09-22 21:38:36.631746 : Epoch  2, Batch    771, Loss  0.788710, Average Loss  0.773973, Time  0.518309
2021-09-22 21:38:36.666169 : Epoch  2, Batch    717, Loss  0.772435, Average Loss  0.777811, Time  0.512275
2021-09-22 21:38:38.755617 : Epoch  2, Batch    772, Loss  0.776050, Average Loss  0.773994, Time  0.495133
2021-09-22 21:38:38.796784 : Epoch  2, Batch    718, Loss  0.777655, Average Loss  0.777843, Time  0.469559
2021-09-22 21:38:40.064823 : Epoch  2, Batch    823, Loss  0.893351, Average Loss  0.873713, Time  0.415437
2021-09-22 21:38:40.847786 : Epoch  2, Batch    773, Loss  0.765707, Average Loss  0.773992, Time  0.473635
2021-09-22 21:38:40.899105 : Epoch  2, Batch    719, Loss  0.771413, Average Loss  0.777789, Time  0.441663
2021-09-22 21:38:42.958824 : Epoch  2, Batch    774, Loss  0.768207, Average Loss  0.773971, Time  0.482238
2021-09-22 21:38:43.002713 : Epoch  2, Batch    720, Loss  0.780890, Average Loss  0.777843, Time  0.456781
2021-09-22 21:38:45.080688 : Epoch  2, Batch    775, Loss  0.779666, Average Loss  0.773987, Time  0.499410
2021-09-22 21:38:45.110422 : Epoch  2, Batch    721, Loss  0.777110, Average Loss  0.777845, Time  0.473428
2021-09-22 21:38:45.124024 : Epoch  2, Batch    824, Loss  0.861474, Average Loss  0.873726, Time  0.417503
2021-09-22 21:38:47.232073 : Epoch  2, Batch    776, Loss  0.781868, Average Loss  0.774045, Time  0.512414
2021-09-22 21:38:47.268359 : Epoch  2, Batch    722, Loss  0.780527, Average Loss  0.777895, Time  0.500504
2021-09-22 21:38:49.327935 : Epoch  2, Batch    777, Loss  0.778287, Average Loss  0.774043, Time  0.478977
2021-09-22 21:38:49.373063 : Epoch  2, Batch    723, Loss  0.770184, Average Loss  0.777882, Time  0.448934
2021-09-22 21:38:50.198929 : Epoch  2, Batch    825, Loss  0.886258, Average Loss  0.873779, Time  0.465852
2021-09-22 21:38:51.442459 : Epoch  2, Batch    778, Loss  0.776637, Average Loss  0.773999, Time  0.495414
2021-09-22 21:38:51.473895 : Epoch  2, Batch    724, Loss  0.781348, Average Loss  0.777896, Time  0.467719
2021-09-22 21:38:53.559092 : Epoch  2, Batch    779, Loss  0.768646, Average Loss  0.773913, Time  0.497224
2021-09-22 21:38:53.591374 : Epoch  2, Batch    725, Loss  0.774325, Average Loss  0.777948, Time  0.468766
2021-09-22 21:38:55.220191 : Epoch  2, Batch    826, Loss  0.884938, Average Loss  0.873801, Time  0.419909
2021-09-22 21:38:55.674450 : Epoch  2, Batch    780, Loss  0.766311, Average Loss  0.773879, Time  0.494871
2021-09-22 21:38:55.700033 : Epoch  2, Batch    726, Loss  0.783800, Average Loss  0.777965, Time  0.465852
2021-09-22 21:38:57.791914 : Epoch  2, Batch    781, Loss  0.769652, Average Loss  0.773919, Time  0.500014
2021-09-22 21:38:57.823376 : Epoch  2, Batch    727, Loss  0.778569, Average Loss  0.778013, Time  0.478161
2021-09-22 21:38:59.917960 : Epoch  2, Batch    782, Loss  0.782387, Average Loss  0.773956, Time  0.499818
2021-09-22 21:38:59.953855 : Epoch  2, Batch    728, Loss  0.782498, Average Loss  0.778032, Time  0.474455
2021-09-22 21:39:00.260852 : Epoch  2, Batch    827, Loss  0.882406, Average Loss  0.873909, Time  0.415204
2021-09-22 21:39:02.048909 : Epoch  2, Batch    783, Loss  0.775729, Average Loss  0.773953, Time  0.492284
2021-09-22 21:39:02.083364 : Epoch  2, Batch    729, Loss  0.776512, Average Loss  0.778028, Time  0.464189
2021-09-22 21:39:04.018278 : Epoch  2, Batch    730, Loss  0.775618, Average Loss  0.777996, Time  0.254717
2021-09-22 21:39:05.302774 : Epoch  2, Batch    828, Loss  0.884861, Average Loss  0.873966, Time  0.416015
2021-09-22 21:39:05.998759 : Epoch  2, Batch    731, Loss  0.780305, Average Loss  0.777983, Time  0.324843
2021-09-22 21:39:06.159639 : Epoch  2, Batch    784, Loss  0.780436, Average Loss  0.773963, Time  0.289211
2021-09-22 21:39:08.087566 : Epoch  2, Batch    732, Loss  0.770492, Average Loss  0.777907, Time  0.435726
2021-09-22 21:39:08.160889 : Epoch  2, Batch    785, Loss  0.775249, Average Loss  0.773978, Time  0.399327
2021-09-22 21:39:10.235343 : Epoch  2, Batch    733, Loss  0.772489, Average Loss  0.777891, Time  0.502692
2021-09-22 21:39:10.264359 : Epoch  2, Batch    786, Loss  0.781578, Average Loss  0.773996, Time  0.468917
2021-09-22 21:39:10.326120 : Epoch  2, Batch    829, Loss  0.869535, Average Loss  0.873970, Time  0.414761
2021-09-22 21:39:12.399326 : Epoch  2, Batch    734, Loss  0.768325, Average Loss  0.777808, Time  0.518239
2021-09-22 21:39:12.435673 : Epoch  2, Batch    787, Loss  0.777180, Average Loss  0.774045, Time  0.508518
2021-09-22 21:39:12.469563 : Saving Model after 2-th Epoch.
2021-09-22 21:39:13.371508 : Epoch Finished.
2021-09-22 21:39:14.306036 : Epoch  2, Batch    735, Loss  0.779959, Average Loss  0.777876, Time  0.255176
2021-09-22 21:39:15.347362 : Epoch  2, Batch    830, Loss  0.877398, Average Loss  0.874010, Time  0.413676
2021-09-22 21:39:15.474340 : Batch Shuffled
2021-09-22 21:39:16.202289 : Epoch  2, Batch    736, Loss  0.778769, Average Loss  0.777845, Time  0.253048
2021-09-22 21:39:17.348817 : Epoch  3, Batch      1, Loss  0.775777, Average Loss  0.774096, Time  0.249154
2021-09-22 21:39:18.107446 : Epoch  2, Batch    737, Loss  0.777852, Average Loss  0.777830, Time  0.253135
2021-09-22 21:39:19.215733 : Epoch  3, Batch      2, Loss  0.761966, Average Loss  0.774093, Time  0.249333
2021-09-22 21:39:20.023302 : Epoch  2, Batch    738, Loss  0.784865, Average Loss  0.777893, Time  0.253166
2021-09-22 21:39:20.317837 : Epoch  2, Batch    831, Loss  0.874476, Average Loss  0.874048, Time  0.414258
2021-09-22 21:39:21.082817 : Epoch  3, Batch      3, Loss  0.785405, Average Loss  0.774163, Time  0.250951
2021-09-22 21:39:21.958784 : Epoch  2, Batch    739, Loss  0.782011, Average Loss  0.777918, Time  0.253294
2021-09-22 21:39:22.939151 : Epoch  3, Batch      4, Loss  0.782687, Average Loss  0.774211, Time  0.253094
2021-09-22 21:39:23.861849 : Epoch  2, Batch    740, Loss  0.786535, Average Loss  0.778011, Time  0.255741
2021-09-22 21:39:24.800410 : Epoch  3, Batch      5, Loss  0.769877, Average Loss  0.774162, Time  0.250324
2021-09-22 21:39:25.323878 : Epoch  2, Batch    832, Loss  0.862781, Average Loss  0.874002, Time  0.416769
2021-09-22 21:39:25.766374 : Epoch  2, Batch    741, Loss  0.776741, Average Loss  0.777977, Time  0.254078
2021-09-22 21:39:26.656561 : Epoch  3, Batch      6, Loss  0.772866, Average Loss  0.774170, Time  0.251355
2021-09-22 21:39:27.661742 : Epoch  2, Batch    742, Loss  0.781542, Average Loss  0.778045, Time  0.253745
2021-09-22 21:39:28.514025 : Epoch  3, Batch      7, Loss  0.776428, Average Loss  0.774149, Time  0.251116
2021-09-22 21:39:29.556527 : Epoch  2, Batch    743, Loss  0.783939, Average Loss  0.778077, Time  0.253306
2021-09-22 21:39:30.339874 : Epoch  2, Batch    833, Loss  0.864471, Average Loss  0.873912, Time  0.423391
2021-09-22 21:39:30.376378 : Epoch  3, Batch      8, Loss  0.762442, Average Loss  0.774087, Time  0.261355
2021-09-22 21:39:31.457005 : Epoch  2, Batch    744, Loss  0.781542, Average Loss  0.778062, Time  0.256511
2021-09-22 21:39:32.231748 : Epoch  3, Batch      9, Loss  0.775366, Average Loss  0.774071, Time  0.250367
2021-09-22 21:39:33.359227 : Epoch  2, Batch    745, Loss  0.785581, Average Loss  0.778157, Time  0.252956
2021-09-22 21:39:34.101206 : Epoch  3, Batch     10, Loss  0.769469, Average Loss  0.774067, Time  0.249537
2021-09-22 21:39:35.259894 : Epoch  2, Batch    746, Loss  0.780736, Average Loss  0.778208, Time  0.254985
2021-09-22 21:39:35.410864 : Epoch  2, Batch    834, Loss  0.882689, Average Loss  0.873901, Time  0.465106
2021-09-22 21:39:35.966747 : Epoch  3, Batch     11, Loss  0.767372, Average Loss  0.773994, Time  0.249112
2021-09-22 21:39:37.160184 : Epoch  2, Batch    747, Loss  0.773458, Average Loss  0.778205, Time  0.253809
2021-09-22 21:39:37.837185 : Epoch  3, Batch     12, Loss  0.765141, Average Loss  0.773944, Time  0.254177
2021-09-22 21:39:39.066933 : Epoch  2, Batch    748, Loss  0.772916, Average Loss  0.778142, Time  0.253322
2021-09-22 21:39:39.693609 : Epoch  3, Batch     13, Loss  0.769800, Average Loss  0.773947, Time  0.249172
2021-09-22 21:39:40.502975 : Epoch  2, Batch    835, Loss  0.878198, Average Loss  0.874007, Time  0.415379
2021-09-22 21:39:40.961974 : Epoch  2, Batch    749, Loss  0.785101, Average Loss  0.778157, Time  0.252980
2021-09-22 21:39:41.552362 : Epoch  3, Batch     14, Loss  0.768821, Average Loss  0.773969, Time  0.250931
2021-09-22 21:39:42.849969 : Epoch  2, Batch    750, Loss  0.781019, Average Loss  0.778146, Time  0.254002
2021-09-22 21:39:43.421848 : Epoch  3, Batch     15, Loss  0.764950, Average Loss  0.773957, Time  0.249337
2021-09-22 21:39:44.755995 : Epoch  2, Batch    751, Loss  0.767459, Average Loss  0.778079, Time  0.253311
2021-09-22 21:39:45.289680 : Epoch  3, Batch     16, Loss  0.777569, Average Loss  0.773939, Time  0.249978
2021-09-22 21:39:45.551146 : Epoch  2, Batch    836, Loss  0.876673, Average Loss  0.874069, Time  0.415392
2021-09-22 21:39:46.660493 : Epoch  2, Batch    752, Loss  0.785793, Average Loss  0.778104, Time  0.253091
2021-09-22 21:39:47.157586 : Epoch  3, Batch     17, Loss  0.775535, Average Loss  0.773947, Time  0.248951
2021-09-22 21:39:48.561202 : Epoch  2, Batch    753, Loss  0.769771, Average Loss  0.778078, Time  0.253996
2021-09-22 21:39:49.022450 : Epoch  3, Batch     18, Loss  0.772891, Average Loss  0.773981, Time  0.250265
2021-09-22 21:39:50.466074 : Epoch  2, Batch    754, Loss  0.789314, Average Loss  0.778132, Time  0.253032
2021-09-22 21:39:50.603910 : Epoch  2, Batch    837, Loss  0.864337, Average Loss  0.873920, Time  0.425588
2021-09-22 21:39:50.908100 : Epoch  3, Batch     19, Loss  0.782573, Average Loss  0.774012, Time  0.250321
2021-09-22 21:39:52.377057 : Epoch  2, Batch    755, Loss  0.773755, Average Loss  0.778106, Time  0.256511
2021-09-22 21:39:52.790573 : Epoch  3, Batch     20, Loss  0.772648, Average Loss  0.773996, Time  0.251869
2021-09-22 21:39:54.315196 : Epoch  2, Batch    756, Loss  0.775673, Average Loss  0.778035, Time  0.262847
2021-09-22 21:39:54.678826 : Epoch  3, Batch     21, Loss  0.768986, Average Loss  0.774027, Time  0.250991
2021-09-22 21:39:55.616819 : Epoch  2, Batch    838, Loss  0.872813, Average Loss  0.873918, Time  0.415742
2021-09-22 21:39:56.211136 : Epoch  2, Batch    757, Loss  0.773786, Average Loss  0.778044, Time  0.254323
2021-09-22 21:39:56.550287 : Epoch  3, Batch     22, Loss  0.766226, Average Loss  0.774012, Time  0.249443
2021-09-22 21:39:58.117590 : Epoch  2, Batch    758, Loss  0.771976, Average Loss  0.778021, Time  0.253357
2021-09-22 21:39:58.411203 : Epoch  3, Batch     23, Loss  0.774610, Average Loss  0.774042, Time  0.251027
2021-09-22 21:40:00.035873 : Epoch  2, Batch    759, Loss  0.775973, Average Loss  0.777996, Time  0.254692
2021-09-22 21:40:00.285962 : Epoch  3, Batch     24, Loss  0.774290, Average Loss  0.773966, Time  0.250414
2021-09-22 21:40:00.656119 : Epoch  2, Batch    839, Loss  0.877968, Average Loss  0.873890, Time  0.414257
2021-09-22 21:40:01.944671 : Epoch  2, Batch    760, Loss  0.780320, Average Loss  0.777954, Time  0.257145
2021-09-22 21:40:02.180854 : Epoch  3, Batch     25, Loss  0.776519, Average Loss  0.774009, Time  0.261098
2021-09-22 21:40:03.906345 : Epoch  2, Batch    761, Loss  0.781677, Average Loss  0.778028, Time  0.315458
2021-09-22 21:40:04.087873 : Epoch  3, Batch     26, Loss  0.786877, Average Loss  0.774076, Time  0.286910
2021-09-22 21:40:05.662264 : Epoch  2, Batch    840, Loss  0.889109, Average Loss  0.874011, Time  0.413803
2021-09-22 21:40:05.824714 : Epoch  2, Batch    762, Loss  0.764843, Average Loss  0.778000, Time  0.255807
2021-09-22 21:40:07.724391 : Epoch  2, Batch    763, Loss  0.772520, Average Loss  0.777971, Time  0.254475
2021-09-22 21:40:09.724630 : Epoch  2, Batch    764, Loss  0.783557, Average Loss  0.778022, Time  0.331613
2021-09-22 21:40:10.640760 : Epoch  2, Batch    841, Loss  0.876745, Average Loss  0.874000, Time  0.413591
2021-09-22 21:40:11.623716 : Epoch  2, Batch    765, Loss  0.780632, Average Loss  0.777973, Time  0.253909
2021-09-22 21:40:13.526241 : Epoch  2, Batch    766, Loss  0.781056, Average Loss  0.777992, Time  0.253388
2021-09-22 21:40:15.434836 : Epoch  2, Batch    767, Loss  0.767756, Average Loss  0.777912, Time  0.253259
2021-09-22 21:40:15.666353 : Epoch  2, Batch    842, Loss  0.869666, Average Loss  0.874016, Time  0.416271
2021-09-22 21:40:17.340376 : Epoch  2, Batch    768, Loss  0.764285, Average Loss  0.777854, Time  0.256042
2021-09-22 21:40:19.247368 : Epoch  2, Batch    769, Loss  0.763194, Average Loss  0.777739, Time  0.253891
2021-09-22 21:40:20.751118 : Epoch  2, Batch    843, Loss  0.887088, Average Loss  0.874007, Time  0.470480
2021-09-22 21:40:21.195156 : Epoch  2, Batch    770, Loss  0.771214, Average Loss  0.777715, Time  0.301297
2021-09-22 21:40:23.109277 : Epoch  2, Batch    771, Loss  0.779561, Average Loss  0.777682, Time  0.254809
2021-09-22 21:40:25.031172 : Epoch  2, Batch    772, Loss  0.776784, Average Loss  0.777665, Time  0.265735
2021-09-22 21:40:25.760086 : Epoch  2, Batch    844, Loss  0.881754, Average Loss  0.874056, Time  0.424616
2021-09-22 21:40:26.930416 : Epoch  2, Batch    773, Loss  0.779470, Average Loss  0.777647, Time  0.257425
2021-09-22 21:40:28.839453 : Epoch  2, Batch    774, Loss  0.786080, Average Loss  0.777636, Time  0.254152
2021-09-22 21:40:30.742306 : Epoch  2, Batch    775, Loss  0.772962, Average Loss  0.777618, Time  0.253306
2021-09-22 21:40:30.780041 : Epoch  2, Batch    845, Loss  0.868504, Average Loss  0.873994, Time  0.415353
2021-09-22 21:40:32.655433 : Epoch  2, Batch    776, Loss  0.768394, Average Loss  0.777588, Time  0.257493
2021-09-22 21:40:34.632296 : Epoch  2, Batch    777, Loss  0.777706, Average Loss  0.777590, Time  0.334074
2021-09-22 21:40:35.807319 : Epoch  2, Batch    846, Loss  0.862222, Average Loss  0.873951, Time  0.419318
2021-09-22 21:40:36.536015 : Epoch  2, Batch    778, Loss  0.782636, Average Loss  0.777611, Time  0.254431
2021-09-22 21:40:38.439795 : Epoch  2, Batch    779, Loss  0.777659, Average Loss  0.777596, Time  0.253754
2021-09-22 21:40:40.348577 : Epoch  2, Batch    780, Loss  0.778507, Average Loss  0.777622, Time  0.253738
2021-09-22 21:40:40.878525 : Epoch  2, Batch    847, Loss  0.868010, Average Loss  0.873856, Time  0.436863
2021-09-22 21:40:42.262718 : Epoch  2, Batch    781, Loss  0.775964, Average Loss  0.777661, Time  0.255440
2021-09-22 21:40:44.171728 : Epoch  2, Batch    782, Loss  0.775221, Average Loss  0.777699, Time  0.253386
2021-09-22 21:40:45.912118 : Epoch  2, Batch    848, Loss  0.886757, Average Loss  0.873959, Time  0.430739
2021-09-22 21:40:46.144229 : Epoch  2, Batch    783, Loss  0.789416, Average Loss  0.777779, Time  0.327096
2021-09-22 21:40:50.260828 : Epoch  2, Batch    784, Loss  0.777282, Average Loss  0.777740, Time  0.264162
2021-09-22 21:40:50.945089 : Epoch  2, Batch    849, Loss  0.862898, Average Loss  0.873945, Time  0.417277
2021-09-22 21:40:52.168894 : Epoch  2, Batch    785, Loss  0.773205, Average Loss  0.777697, Time  0.253506
2021-09-22 21:40:54.067743 : Epoch  2, Batch    786, Loss  0.785455, Average Loss  0.777742, Time  0.253563
2021-09-22 21:40:55.935061 : Epoch  2, Batch    850, Loss  0.885646, Average Loss  0.874013, Time  0.413684
2021-09-22 21:40:56.041153 : Epoch  2, Batch    787, Loss  0.787369, Average Loss  0.777809, Time  0.327116
2021-09-22 21:40:56.070124 : Saving Model after 2-th Epoch.
2021-09-22 21:40:56.993593 : Epoch Finished.
2021-09-22 21:40:59.018853 : Batch Shuffled
2021-09-22 21:41:00.915855 : Epoch  2, Batch    851, Loss  0.881673, Average Loss  0.874135, Time  0.414475
2021-09-22 21:41:00.986265 : Epoch  3, Batch      1, Loss  0.773525, Average Loss  0.777781, Time  0.329694
2021-09-22 21:41:02.880616 : Epoch  3, Batch      2, Loss  0.785417, Average Loss  0.777801, Time  0.252884
2021-09-22 21:41:04.789317 : Epoch  3, Batch      3, Loss  0.768833, Average Loss  0.777706, Time  0.255917
2021-09-22 21:41:05.988889 : Epoch  2, Batch    852, Loss  0.876013, Average Loss  0.874199, Time  0.461502
2021-09-22 21:41:06.695198 : Epoch  3, Batch      4, Loss  0.777271, Average Loss  0.777699, Time  0.253394
2021-09-22 21:41:08.581153 : Epoch  3, Batch      5, Loss  0.778308, Average Loss  0.777685, Time  0.253366
2021-09-22 21:41:10.487141 : Epoch  3, Batch      6, Loss  0.779642, Average Loss  0.777688, Time  0.254719
2021-09-22 21:41:11.029115 : Epoch  2, Batch    853, Loss  0.876429, Average Loss  0.874217, Time  0.414893
2021-09-22 21:41:12.458064 : Epoch  3, Batch      7, Loss  0.767039, Average Loss  0.777659, Time  0.326135
2021-09-22 21:41:14.365755 : Epoch  3, Batch      8, Loss  0.781551, Average Loss  0.777667, Time  0.256214
2021-09-22 21:41:14.652163 : CheckPoint: Validation Loss  0.00031944, Best Loss  0.00031612
2021-09-22 21:41:16.096887 : Epoch  2, Batch    854, Loss  0.863431, Average Loss  0.874156, Time  0.414715
2021-09-22 21:41:16.278540 : Epoch  3, Batch      9, Loss  0.773032, Average Loss  0.777665, Time  0.253855
2021-09-22 21:41:16.529628 : Epoch  3, Batch     27, Loss  0.778450, Average Loss  0.774139, Time  0.249996
2021-09-22 21:41:18.159268 : Epoch  3, Batch     10, Loss  0.767096, Average Loss  0.777628, Time  0.253445
2021-09-22 21:41:18.396836 : Epoch  3, Batch     28, Loss  0.787359, Average Loss  0.774298, Time  0.256400
2021-09-22 21:41:20.046335 : Epoch  3, Batch     11, Loss  0.776605, Average Loss  0.777621, Time  0.254112
2021-09-22 21:41:20.275170 : Epoch  3, Batch     29, Loss  0.775065, Average Loss  0.774388, Time  0.260263
2021-09-22 21:41:21.130853 : Epoch  2, Batch    855, Loss  0.874451, Average Loss  0.874186, Time  0.414761
2021-09-22 21:41:22.009741 : Epoch  3, Batch     12, Loss  0.776562, Average Loss  0.777605, Time  0.318665
2021-09-22 21:41:22.179339 : Epoch  3, Batch     30, Loss  0.767862, Average Loss  0.774371, Time  0.290557
2021-09-22 21:41:24.046847 : Epoch  3, Batch     13, Loss  0.766755, Average Loss  0.777544, Time  0.395216
2021-09-22 21:41:24.154160 : Epoch  3, Batch     31, Loss  0.788011, Average Loss  0.774467, Time  0.356683
2021-09-22 21:41:26.161023 : Epoch  2, Batch    856, Loss  0.874145, Average Loss  0.874202, Time  0.415683
2021-09-22 21:41:26.169191 : Epoch  3, Batch     14, Loss  0.777226, Average Loss  0.777553, Time  0.486306
2021-09-22 21:41:26.228333 : Epoch  3, Batch     32, Loss  0.776618, Average Loss  0.774481, Time  0.447592
2021-09-22 21:41:28.343434 : Epoch  3, Batch     15, Loss  0.767831, Average Loss  0.777528, Time  0.517563
2021-09-22 21:41:28.387830 : Epoch  3, Batch     33, Loss  0.764949, Average Loss  0.774457, Time  0.506643
2021-09-22 21:41:30.502315 : Epoch  3, Batch     34, Loss  0.776557, Average Loss  0.774443, Time  0.481572
2021-09-22 21:41:30.502395 : Epoch  3, Batch     16, Loss  0.785372, Average Loss  0.777557, Time  0.505960
2021-09-22 21:41:31.169183 : Epoch  2, Batch    857, Loss  0.882739, Average Loss  0.874208, Time  0.414587
2021-09-22 21:41:32.674074 : Epoch  3, Batch     35, Loss  0.796587, Average Loss  0.774508, Time  0.511175
2021-09-22 21:41:32.705950 : Epoch  3, Batch     17, Loss  0.784935, Average Loss  0.777581, Time  0.495859
2021-09-22 21:41:34.797700 : Epoch  3, Batch     36, Loss  0.782133, Average Loss  0.774593, Time  0.498417
2021-09-22 21:41:34.826960 : Epoch  3, Batch     18, Loss  0.773777, Average Loss  0.777640, Time  0.470755
2021-09-22 21:41:36.190978 : Epoch  2, Batch    858, Loss  0.875790, Average Loss  0.874260, Time  0.415736
2021-09-22 21:41:36.904314 : Epoch  3, Batch     37, Loss  0.772262, Average Loss  0.774577, Time  0.491718
2021-09-22 21:41:36.935628 : Epoch  3, Batch     19, Loss  0.785664, Average Loss  0.777712, Time  0.464631
2021-09-22 21:41:39.023064 : Epoch  3, Batch     38, Loss  0.765098, Average Loss  0.774522, Time  0.503044
2021-09-22 21:41:39.053748 : Epoch  3, Batch     20, Loss  0.776569, Average Loss  0.777711, Time  0.474188
2021-09-22 21:41:41.141401 : Epoch  3, Batch     39, Loss  0.772697, Average Loss  0.774453, Time  0.501865
2021-09-22 21:41:41.171599 : Epoch  3, Batch     21, Loss  0.784646, Average Loss  0.777692, Time  0.476251
2021-09-22 21:41:41.182382 : Epoch  2, Batch    859, Loss  0.878850, Average Loss  0.874295, Time  0.423445
2021-09-22 21:41:43.266005 : Epoch  3, Batch     40, Loss  0.782030, Average Loss  0.774508, Time  0.512282
2021-09-22 21:41:43.295351 : Epoch  3, Batch     22, Loss  0.780935, Average Loss  0.777698, Time  0.478939
2021-09-22 21:41:45.375093 : Epoch  3, Batch     41, Loss  0.784314, Average Loss  0.774566, Time  0.496012
2021-09-22 21:41:45.419918 : Epoch  3, Batch     23, Loss  0.768359, Average Loss  0.777625, Time  0.474462
2021-09-22 21:41:46.156181 : Epoch  2, Batch    860, Loss  0.871251, Average Loss  0.874203, Time  0.413671
2021-09-22 21:41:47.493926 : Epoch  3, Batch     42, Loss  0.776796, Average Loss  0.774611, Time  0.486465
2021-09-22 21:41:47.530204 : Epoch  3, Batch     24, Loss  0.775236, Average Loss  0.777600, Time  0.453265
2021-09-22 21:41:49.606790 : Epoch  3, Batch     43, Loss  0.775325, Average Loss  0.774624, Time  0.495834
2021-09-22 21:41:49.644213 : Epoch  3, Batch     25, Loss  0.775361, Average Loss  0.777586, Time  0.466033
2021-09-22 21:41:51.161026 : Epoch  2, Batch    861, Loss  0.875048, Average Loss  0.874208, Time  0.463101
2021-09-22 21:41:51.708547 : Epoch  3, Batch     44, Loss  0.765492, Average Loss  0.774613, Time  0.490586
2021-09-22 21:41:51.741056 : Epoch  3, Batch     26, Loss  0.768034, Average Loss  0.777515, Time  0.456506
2021-09-22 21:41:53.579052 : Epoch  3, Batch     45, Loss  0.775287, Average Loss  0.774564, Time  0.258772
2021-09-22 21:41:55.431650 : Epoch  3, Batch     46, Loss  0.785542, Average Loss  0.774606, Time  0.249934
2021-09-22 21:41:56.136840 : Epoch  2, Batch    862, Loss  0.887406, Average Loss  0.874278, Time  0.419689
2021-09-22 21:41:57.390899 : Epoch  3, Batch     47, Loss  0.780485, Average Loss  0.774639, Time  0.336145
2021-09-22 21:41:59.251103 : Epoch  3, Batch     48, Loss  0.764632, Average Loss  0.774609, Time  0.256098
2021-09-22 21:42:01.101768 : Epoch  2, Batch    863, Loss  0.881671, Average Loss  0.874333, Time  0.412750
2021-09-22 21:42:01.121809 : Epoch  3, Batch     49, Loss  0.767848, Average Loss  0.774603, Time  0.251649
2021-09-22 21:42:03.001130 : Epoch  3, Batch     50, Loss  0.772171, Average Loss  0.774599, Time  0.250148
2021-09-22 21:42:04.890287 : Epoch  3, Batch     51, Loss  0.773325, Average Loss  0.774562, Time  0.250517
2021-09-22 21:42:06.068013 : Epoch  2, Batch    864, Loss  0.855234, Average Loss  0.874248, Time  0.415057
2021-09-22 21:42:06.771737 : Epoch  3, Batch     52, Loss  0.780120, Average Loss  0.774649, Time  0.251926
2021-09-22 21:42:08.658480 : Epoch  3, Batch     53, Loss  0.780830, Average Loss  0.774707, Time  0.253482
2021-09-22 21:42:10.538127 : Epoch  3, Batch     54, Loss  0.770382, Average Loss  0.774720, Time  0.249484
2021-09-22 21:42:11.033362 : Epoch  2, Batch    865, Loss  0.877162, Average Loss  0.874212, Time  0.413010
2021-09-22 21:42:12.478542 : Epoch  3, Batch     55, Loss  0.780002, Average Loss  0.774717, Time  0.326927
2021-09-22 21:42:14.355715 : Epoch  3, Batch     56, Loss  0.761788, Average Loss  0.774622, Time  0.251989
2021-09-22 21:42:15.999007 : Epoch  2, Batch    866, Loss  0.876074, Average Loss  0.874152, Time  0.422997
2021-09-22 21:42:16.238940 : Epoch  3, Batch     57, Loss  0.781419, Average Loss  0.774624, Time  0.252027
2021-09-22 21:42:18.113563 : Epoch  3, Batch     58, Loss  0.762385, Average Loss  0.774573, Time  0.250338
2021-09-22 21:42:19.995087 : Epoch  3, Batch     59, Loss  0.779523, Average Loss  0.774589, Time  0.252205
2021-09-22 21:42:20.970110 : Epoch  2, Batch    867, Loss  0.882396, Average Loss  0.874166, Time  0.413001
2021-09-22 21:42:21.881836 : Epoch  3, Batch     60, Loss  0.764704, Average Loss  0.774564, Time  0.250058
2021-09-22 21:42:23.757066 : Epoch  3, Batch     61, Loss  0.779617, Average Loss  0.774538, Time  0.253221
2021-09-22 21:42:25.704773 : Epoch  3, Batch     62, Loss  0.774389, Average Loss  0.774549, Time  0.326621
2021-09-22 21:42:25.958122 : Epoch  2, Batch    868, Loss  0.869073, Average Loss  0.874143, Time  0.413200
2021-09-22 21:42:27.587693 : Epoch  3, Batch     63, Loss  0.770847, Average Loss  0.774541, Time  0.252806
2021-09-22 21:42:29.460218 : Epoch  3, Batch     64, Loss  0.764296, Average Loss  0.774508, Time  0.251014
2021-09-22 21:42:30.917830 : Epoch  2, Batch    869, Loss  0.883152, Average Loss  0.874215, Time  0.413122
2021-09-22 21:42:31.332871 : Epoch  3, Batch     65, Loss  0.770714, Average Loss  0.774432, Time  0.250149
2021-09-22 21:42:33.206716 : Epoch  3, Batch     66, Loss  0.773952, Average Loss  0.774437, Time  0.250701
2021-09-22 21:42:35.086452 : Epoch  3, Batch     67, Loss  0.775702, Average Loss  0.774423, Time  0.250208
2021-09-22 21:42:35.967809 : Epoch  2, Batch    870, Loss  0.892125, Average Loss  0.874294, Time  0.468484
2021-09-22 21:42:36.975990 : Epoch  3, Batch     68, Loss  0.771370, Average Loss  0.774418, Time  0.249861
2021-09-22 21:42:38.895931 : Epoch  3, Batch     69, Loss  0.770748, Average Loss  0.774422, Time  0.287464
2021-09-22 21:42:40.831828 : Epoch  3, Batch     70, Loss  0.778748, Average Loss  0.774507, Time  0.304871
2021-09-22 21:42:40.930158 : Epoch  2, Batch    871, Loss  0.867219, Average Loss  0.874228, Time  0.417094
2021-09-22 21:42:42.709736 : Epoch  3, Batch     71, Loss  0.766247, Average Loss  0.774444, Time  0.250844
2021-09-22 21:42:44.603886 : Epoch  3, Batch     72, Loss  0.773082, Average Loss  0.774453, Time  0.255271
2021-09-22 21:42:45.892823 : Epoch  2, Batch    872, Loss  0.862812, Average Loss  0.874090, Time  0.413634
2021-09-22 21:42:46.476852 : Epoch  3, Batch     73, Loss  0.780188, Average Loss  0.774459, Time  0.254424
2021-09-22 21:42:48.349306 : Epoch  3, Batch     74, Loss  0.778276, Average Loss  0.774487, Time  0.250204
2021-09-22 21:42:50.224393 : Epoch  3, Batch     75, Loss  0.775516, Average Loss  0.774445, Time  0.252744
2021-09-22 21:42:52.105216 : Epoch  3, Batch     76, Loss  0.772519, Average Loss  0.774462, Time  0.250524
2021-09-22 21:42:53.983139 : Epoch  3, Batch     77, Loss  0.783980, Average Loss  0.774537, Time  0.251517
2021-09-22 21:42:55.946796 : Epoch  3, Batch     78, Loss  0.772447, Average Loss  0.774543, Time  0.328870
2021-09-22 21:42:57.805896 : Epoch  3, Batch     79, Loss  0.765221, Average Loss  0.774443, Time  0.250350
2021-09-22 21:42:59.678440 : Epoch  3, Batch     80, Loss  0.782679, Average Loss  0.774499, Time  0.250538
2021-09-22 21:43:01.547607 : Epoch  3, Batch     81, Loss  0.779844, Average Loss  0.774472, Time  0.252729
2021-09-22 21:43:03.042919 : CheckPoint: Validation Loss  0.00031814, Best Loss  0.00031729
2021-09-22 21:43:03.411800 : Epoch  3, Batch     82, Loss  0.759837, Average Loss  0.774372, Time  0.250780
2021-09-22 21:43:04.994114 : Epoch  3, Batch     27, Loss  0.786191, Average Loss  0.777580, Time  0.255549
2021-09-22 21:43:05.268462 : Epoch  3, Batch     83, Loss  0.772751, Average Loss  0.774385, Time  0.250048
2021-09-22 21:43:06.892216 : Epoch  3, Batch     28, Loss  0.775064, Average Loss  0.777587, Time  0.254166
2021-09-22 21:43:07.129753 : Epoch  3, Batch     84, Loss  0.779481, Average Loss  0.774432, Time  0.255381
2021-09-22 21:43:08.857158 : Epoch  3, Batch     29, Loss  0.764826, Average Loss  0.777471, Time  0.306309
2021-09-22 21:43:09.035005 : Epoch  3, Batch     85, Loss  0.784879, Average Loss  0.774487, Time  0.281612
2021-09-22 21:43:10.915387 : Epoch  3, Batch     30, Loss  0.781279, Average Loss  0.777530, Time  0.403989
2021-09-22 21:43:11.016039 : Epoch  3, Batch     86, Loss  0.769397, Average Loss  0.774389, Time  0.366871
2021-09-22 21:43:13.072010 : Epoch  3, Batch     31, Loss  0.776019, Average Loss  0.777584, Time  0.502381
2021-09-22 21:43:13.101142 : Epoch  3, Batch     87, Loss  0.781309, Average Loss  0.774466, Time  0.464732
2021-09-22 21:43:15.223272 : Epoch  3, Batch     88, Loss  0.768501, Average Loss  0.774441, Time  0.513352
2021-09-22 21:43:15.259231 : Epoch  3, Batch     32, Loss  0.785287, Average Loss  0.777612, Time  0.506019
2021-09-22 21:43:17.392560 : Epoch  3, Batch     89, Loss  0.775761, Average Loss  0.774444, Time  0.515776
2021-09-22 21:43:17.419920 : Epoch  3, Batch     33, Loss  0.782243, Average Loss  0.777638, Time  0.505677
2021-09-22 21:43:19.502371 : Epoch  3, Batch     90, Loss  0.783203, Average Loss  0.774489, Time  0.495676
2021-09-22 21:43:19.528907 : Epoch  3, Batch     34, Loss  0.770591, Average Loss  0.777572, Time  0.469318
2021-09-22 21:43:21.618938 : Epoch  3, Batch     91, Loss  0.777844, Average Loss  0.774531, Time  0.497881
2021-09-22 21:43:21.651954 : Epoch  3, Batch     35, Loss  0.782080, Average Loss  0.777628, Time  0.472636
2021-09-22 21:43:23.728627 : Epoch  3, Batch     92, Loss  0.767555, Average Loss  0.774473, Time  0.495820
2021-09-22 21:43:23.757421 : Epoch  3, Batch     36, Loss  0.774604, Average Loss  0.777610, Time  0.468917
2021-09-22 21:43:25.821301 : Epoch  3, Batch     93, Loss  0.771115, Average Loss  0.774471, Time  0.476669
2021-09-22 21:43:25.863425 : Epoch  3, Batch     37, Loss  0.770861, Average Loss  0.777550, Time  0.446890
2021-09-22 21:43:27.944769 : Epoch  3, Batch     94, Loss  0.778763, Average Loss  0.774534, Time  0.492414
2021-09-22 21:43:27.973195 : Epoch  3, Batch     38, Loss  0.784031, Average Loss  0.777609, Time  0.458642
2021-09-22 21:43:30.059948 : Epoch  3, Batch     95, Loss  0.780649, Average Loss  0.774568, Time  0.499977
2021-09-22 21:43:30.089021 : Epoch  3, Batch     39, Loss  0.787466, Average Loss  0.777595, Time  0.472260
2021-09-22 21:43:32.166466 : Epoch  3, Batch     96, Loss  0.764882, Average Loss  0.774510, Time  0.487916
2021-09-22 21:43:32.208821 : Epoch  3, Batch     40, Loss  0.770285, Average Loss  0.777531, Time  0.459328
2021-09-22 21:43:34.107207 : Epoch  3, Batch     41, Loss  0.773140, Average Loss  0.777586, Time  0.255676
2021-09-22 21:43:36.014364 : Epoch  3, Batch     42, Loss  0.771784, Average Loss  0.777540, Time  0.254007
2021-09-22 21:43:36.354814 : Epoch  3, Batch     97, Loss  0.769039, Average Loss  0.774483, Time  0.250306
2021-09-22 21:43:37.921652 : Epoch  3, Batch     43, Loss  0.775148, Average Loss  0.777540, Time  0.256059
2021-09-22 21:43:38.308162 : Epoch  3, Batch     98, Loss  0.767274, Average Loss  0.774440, Time  0.251191
2021-09-22 21:43:39.824214 : Epoch  3, Batch     44, Loss  0.776058, Average Loss  0.777548, Time  0.254296
2021-09-22 21:43:40.162038 : Epoch  3, Batch     99, Loss  0.770413, Average Loss  0.774370, Time  0.249490
2021-09-22 21:43:41.727640 : Epoch  3, Batch     45, Loss  0.771560, Average Loss  0.777541, Time  0.254407
2021-09-22 21:43:42.023387 : Epoch  3, Batch    100, Loss  0.769462, Average Loss  0.774310, Time  0.249738
2021-09-22 21:43:43.635049 : Epoch  3, Batch     46, Loss  0.766753, Average Loss  0.777472, Time  0.253114
2021-09-22 21:43:43.874475 : Epoch  3, Batch    101, Loss  0.779819, Average Loss  0.774319, Time  0.254005
2021-09-22 21:43:45.655896 : Epoch  3, Batch     47, Loss  0.781864, Average Loss  0.777448, Time  0.359273
2021-09-22 21:43:45.806466 : Epoch  3, Batch    102, Loss  0.776285, Average Loss  0.774336, Time  0.327426
2021-09-22 21:43:47.869624 : Epoch  3, Batch     48, Loss  0.774956, Average Loss  0.777404, Time  0.505867
2021-09-22 21:43:47.898312 : Epoch  3, Batch    103, Loss  0.774002, Average Loss  0.774375, Time  0.470044
2021-09-22 21:43:50.043002 : Epoch  3, Batch    104, Loss  0.766767, Average Loss  0.774289, Time  0.516099
2021-09-22 21:43:50.070220 : Epoch  3, Batch     49, Loss  0.777635, Average Loss  0.777401, Time  0.509924
2021-09-22 21:43:52.190160 : Epoch  3, Batch    105, Loss  0.766235, Average Loss  0.774272, Time  0.507130
2021-09-22 21:43:52.222545 : Epoch  3, Batch     50, Loss  0.777280, Average Loss  0.777462, Time  0.487270
2021-09-22 21:43:54.319850 : Epoch  3, Batch    106, Loss  0.773161, Average Loss  0.774249, Time  0.496048
2021-09-22 21:43:54.347104 : Epoch  3, Batch     51, Loss  0.770347, Average Loss  0.777391, Time  0.465289
2021-09-22 21:43:56.476368 : Epoch  3, Batch    107, Loss  0.774014, Average Loss  0.774224, Time  0.507844
2021-09-22 21:43:56.506612 : Epoch  3, Batch     52, Loss  0.770133, Average Loss  0.777348, Time  0.491742
2021-09-22 21:43:58.631099 : Epoch  3, Batch    108, Loss  0.762707, Average Loss  0.774175, Time  0.511481
2021-09-22 21:43:58.669607 : Epoch  3, Batch     53, Loss  0.764808, Average Loss  0.777301, Time  0.497687
2021-09-22 21:44:00.768324 : Epoch  3, Batch    109, Loss  0.768734, Average Loss  0.774137, Time  0.496219
2021-09-22 21:44:00.827689 : Epoch  3, Batch     54, Loss  0.777036, Average Loss  0.777274, Time  0.471265
2021-09-22 21:44:02.929393 : Epoch  3, Batch    110, Loss  0.783991, Average Loss  0.774224, Time  0.492412
2021-09-22 21:44:02.962301 : Epoch  3, Batch     55, Loss  0.784990, Average Loss  0.777343, Time  0.457065
2021-09-22 21:44:05.046517 : Epoch  3, Batch    111, Loss  0.768271, Average Loss  0.774189, Time  0.491654
2021-09-22 21:44:05.077634 : Epoch  3, Batch     56, Loss  0.773922, Average Loss  0.777329, Time  0.456644
2021-09-22 21:44:07.173155 : Epoch  3, Batch    112, Loss  0.784019, Average Loss  0.774237, Time  0.499884
2021-09-22 21:44:07.206347 : Epoch  3, Batch     57, Loss  0.760375, Average Loss  0.777241, Time  0.480265
2021-09-22 21:44:09.332295 : Epoch  3, Batch    113, Loss  0.771135, Average Loss  0.774197, Time  0.505594
2021-09-22 21:44:09.362770 : Epoch  3, Batch     58, Loss  0.770584, Average Loss  0.777206, Time  0.489601
2021-09-22 21:44:11.434262 : Epoch  3, Batch    114, Loss  0.774551, Average Loss  0.774199, Time  0.481253
2021-09-22 21:44:11.475214 : Epoch  3, Batch     59, Loss  0.775056, Average Loss  0.777217, Time  0.451654
2021-09-22 21:44:13.551001 : Epoch  3, Batch    115, Loss  0.786160, Average Loss  0.774267, Time  0.495440
2021-09-22 21:44:13.584053 : Epoch  3, Batch     60, Loss  0.780017, Average Loss  0.777172, Time  0.466861
2021-09-22 21:44:15.671832 : Epoch  3, Batch    116, Loss  0.776402, Average Loss  0.774280, Time  0.498469
2021-09-22 21:44:15.702310 : Epoch  3, Batch     61, Loss  0.764552, Average Loss  0.777157, Time  0.472849
2021-09-22 21:44:17.810343 : Epoch  3, Batch    117, Loss  0.775753, Average Loss  0.774323, Time  0.506212
2021-09-22 21:44:17.833891 : Epoch  3, Batch     62, Loss  0.773476, Average Loss  0.777178, Time  0.477136
2021-09-22 21:44:19.965714 : Epoch  3, Batch    118, Loss  0.783935, Average Loss  0.774397, Time  0.512395
2021-09-22 21:44:19.991255 : Epoch  3, Batch     63, Loss  0.767702, Average Loss  0.777113, Time  0.500509
2021-09-22 21:44:22.059936 : Epoch  3, Batch    119, Loss  0.768528, Average Loss  0.774372, Time  0.483553
2021-09-22 21:44:22.110340 : Epoch  3, Batch     64, Loss  0.762427, Average Loss  0.777015, Time  0.457299
2021-09-22 21:44:24.177355 : Epoch  3, Batch    120, Loss  0.776827, Average Loss  0.774374, Time  0.482054
2021-09-22 21:44:24.219995 : Epoch  3, Batch     65, Loss  0.772435, Average Loss  0.777018, Time  0.453606
2021-09-22 21:44:26.267077 : Epoch  3, Batch    121, Loss  0.771432, Average Loss  0.774355, Time  0.475536
2021-09-22 21:44:26.313553 : Epoch  3, Batch     66, Loss  0.769160, Average Loss  0.776926, Time  0.446702
2021-09-22 21:44:28.371547 : Epoch  3, Batch    122, Loss  0.779151, Average Loss  0.774355, Time  0.478062
2021-09-22 21:44:28.430447 : Epoch  3, Batch     67, Loss  0.767602, Average Loss  0.776875, Time  0.459991
2021-09-22 21:44:30.478317 : Epoch  3, Batch    123, Loss  0.772002, Average Loss  0.774388, Time  0.469508
2021-09-22 21:44:30.529817 : Epoch  3, Batch     68, Loss  0.775334, Average Loss  0.776871, Time  0.439359
2021-09-22 21:44:32.614945 : Epoch  3, Batch    124, Loss  0.778001, Average Loss  0.774372, Time  0.492479
2021-09-22 21:44:32.650126 : Epoch  3, Batch     69, Loss  0.779393, Average Loss  0.776881, Time  0.463335
2021-09-22 21:44:34.748782 : Epoch  3, Batch    125, Loss  0.783437, Average Loss  0.774468, Time  0.494214
2021-09-22 21:44:34.778675 : Epoch  3, Batch     70, Loss  0.773688, Average Loss  0.776856, Time  0.465819
2021-09-22 21:44:36.890421 : Epoch  3, Batch    126, Loss  0.776614, Average Loss  0.774435, Time  0.498364
2021-09-22 21:44:36.922569 : Epoch  3, Batch     71, Loss  0.777091, Average Loss  0.776886, Time  0.467330
2021-09-22 21:44:38.842530 : Epoch  3, Batch     72, Loss  0.783772, Average Loss  0.776874, Time  0.256077
2021-09-22 21:44:40.759214 : Epoch  3, Batch     73, Loss  0.772525, Average Loss  0.776908, Time  0.257400
2021-09-22 21:44:42.749871 : Epoch  3, Batch     74, Loss  0.780673, Average Loss  0.776953, Time  0.329756
2021-09-22 21:44:44.686859 : Epoch  3, Batch     75, Loss  0.786447, Average Loss  0.776977, Time  0.266107
2021-09-22 21:44:46.605505 : Epoch  3, Batch     76, Loss  0.775452, Average Loss  0.777029, Time  0.256122
2021-09-22 21:44:48.528371 : Epoch  3, Batch     77, Loss  0.772962, Average Loss  0.776995, Time  0.256064
2021-09-22 21:44:50.463540 : Epoch  3, Batch     78, Loss  0.776224, Average Loss  0.776970, Time  0.255686
2021-09-22 21:44:52.394986 : Epoch  3, Batch     79, Loss  0.770811, Average Loss  0.776904, Time  0.255421
2021-09-22 21:44:54.375102 : Epoch  3, Batch     80, Loss  0.771923, Average Loss  0.776877, Time  0.334501
2021-09-22 21:44:56.292187 : Epoch  3, Batch     81, Loss  0.773281, Average Loss  0.776829, Time  0.259454
2021-09-22 21:44:58.198151 : Epoch  3, Batch     82, Loss  0.768076, Average Loss  0.776820, Time  0.259602
2021-09-22 21:45:00.138926 : Epoch  3, Batch     83, Loss  0.768812, Average Loss  0.776825, Time  0.256462
2021-09-22 21:45:02.177518 : Epoch  3, Batch     84, Loss  0.783781, Average Loss  0.776813, Time  0.269866
2021-09-22 21:45:04.236096 : Epoch  3, Batch     85, Loss  0.773615, Average Loss  0.776770, Time  0.254189
2021-09-22 21:45:06.415952 : Epoch  3, Batch     86, Loss  0.780193, Average Loss  0.776810, Time  0.299744
2021-09-22 21:45:08.513997 : Epoch  3, Batch     87, Loss  0.771567, Average Loss  0.776728, Time  0.257912
2021-09-22 21:45:10.616497 : Epoch  3, Batch     88, Loss  0.779601, Average Loss  0.776740, Time  0.299260
2021-09-22 21:45:12.622277 : Epoch  3, Batch     89, Loss  0.776135, Average Loss  0.776751, Time  0.256022
2021-09-22 21:45:14.618380 : Epoch  3, Batch     90, Loss  0.774060, Average Loss  0.776668, Time  0.260071
2021-09-22 21:45:16.637033 : Epoch  3, Batch     91, Loss  0.766671, Average Loss  0.776633, Time  0.255137
2021-09-22 21:45:18.665292 : Epoch  3, Batch     92, Loss  0.780864, Average Loss  0.776648, Time  0.267384
2021-09-22 21:45:20.825066 : Epoch  3, Batch     93, Loss  0.782577, Average Loss  0.776699, Time  0.254741
2021-09-22 21:45:22.856618 : Epoch  3, Batch     94, Loss  0.770794, Average Loss  0.776655, Time  0.255225
2021-09-22 21:45:24.834701 : Epoch  3, Batch     95, Loss  0.776481, Average Loss  0.776591, Time  0.270226
2021-09-22 21:45:26.894297 : Epoch  3, Batch     96, Loss  0.776385, Average Loss  0.776632, Time  0.258548
2021-09-22 21:45:31.709830 : Epoch  3, Batch     97, Loss  0.782360, Average Loss  0.776696, Time  0.273101
2021-09-22 21:45:33.893451 : Epoch  3, Batch     98, Loss  0.768089, Average Loss  0.776660, Time  0.254451
2021-09-22 21:45:35.953190 : Epoch  3, Batch     99, Loss  0.769086, Average Loss  0.776604, Time  0.261964
2021-09-22 21:45:37.952711 : Epoch  3, Batch    100, Loss  0.773095, Average Loss  0.776594, Time  0.265838
2021-09-22 21:45:39.934033 : Epoch  3, Batch    101, Loss  0.776186, Average Loss  0.776594, Time  0.254833
2021-09-22 21:45:41.976174 : Epoch  3, Batch    102, Loss  0.778696, Average Loss  0.776601, Time  0.265280
2021-09-22 21:45:44.031940 : Epoch  3, Batch    103, Loss  0.764661, Average Loss  0.776496, Time  0.304002
2021-09-22 21:45:46.131956 : Epoch  3, Batch    104, Loss  0.778347, Average Loss  0.776478, Time  0.258040
2021-09-22 21:45:48.218742 : Epoch  3, Batch    105, Loss  0.784561, Average Loss  0.776521, Time  0.273554
2021-09-22 21:45:50.243423 : Epoch  3, Batch    106, Loss  0.781021, Average Loss  0.776511, Time  0.254695
2021-09-22 21:45:51.500704 : CheckPoint: Validation Loss  0.00032097, Best Loss  0.00031612
2021-09-22 21:45:52.296991 : Epoch  3, Batch    107, Loss  0.777252, Average Loss  0.776484, Time  0.263445
2021-09-22 21:45:53.501279 : Epoch  3, Batch    127, Loss  0.784051, Average Loss  0.774494, Time  0.250983
2021-09-22 21:45:54.324090 : Epoch  3, Batch    108, Loss  0.783508, Average Loss  0.776553, Time  0.276213
2021-09-22 21:45:55.453312 : Epoch  3, Batch    128, Loss  0.758560, Average Loss  0.774413, Time  0.252966
2021-09-22 21:45:56.359058 : Epoch  3, Batch    109, Loss  0.777572, Average Loss  0.776557, Time  0.266451
2021-09-22 21:45:57.364866 : Epoch  3, Batch    129, Loss  0.774768, Average Loss  0.774393, Time  0.255092
2021-09-22 21:45:58.506626 : Epoch  3, Batch    110, Loss  0.780992, Average Loss  0.776564, Time  0.263397
2021-09-22 21:45:59.388363 : Epoch  3, Batch    130, Loss  0.774038, Average Loss  0.774412, Time  0.260652
2021-09-22 21:46:00.574909 : Epoch  3, Batch    111, Loss  0.772492, Average Loss  0.776542, Time  0.262129
2021-09-22 21:46:01.470365 : Epoch  3, Batch    131, Loss  0.777532, Average Loss  0.774453, Time  0.249821
2021-09-22 21:46:02.736189 : Epoch  3, Batch    112, Loss  0.776925, Average Loss  0.776528, Time  0.272771
2021-09-22 21:46:03.639685 : Epoch  3, Batch    132, Loss  0.772581, Average Loss  0.774434, Time  0.255671
2021-09-22 21:46:04.727736 : Epoch  3, Batch    113, Loss  0.781750, Average Loss  0.776488, Time  0.262046
2021-09-22 21:46:05.597108 : Epoch  3, Batch    133, Loss  0.783012, Average Loss  0.774473, Time  0.258604
2021-09-22 21:46:06.734317 : Epoch  3, Batch    114, Loss  0.780454, Average Loss  0.776496, Time  0.267307
2021-09-22 21:46:07.607231 : Epoch  3, Batch    134, Loss  0.787874, Average Loss  0.774564, Time  0.253454
2021-09-22 21:46:08.855079 : Epoch  3, Batch    115, Loss  0.775513, Average Loss  0.776477, Time  0.257714
2021-09-22 21:46:09.698410 : Epoch  3, Batch    135, Loss  0.774351, Average Loss  0.774615, Time  0.253389
2021-09-22 21:46:10.959336 : Epoch  3, Batch    116, Loss  0.773199, Average Loss  0.776441, Time  0.268000
2021-09-22 21:46:11.772101 : Epoch  3, Batch    136, Loss  0.765488, Average Loss  0.774591, Time  0.253795
2021-09-22 21:46:12.973630 : Epoch  3, Batch    117, Loss  0.776160, Average Loss  0.776415, Time  0.258381
2021-09-22 21:46:13.809733 : Epoch  3, Batch    137, Loss  0.772201, Average Loss  0.774587, Time  0.253347
2021-09-22 21:46:14.969847 : Epoch  3, Batch    118, Loss  0.778929, Average Loss  0.776393, Time  0.259863
2021-09-22 21:46:15.803303 : Epoch  3, Batch    138, Loss  0.778671, Average Loss  0.774565, Time  0.280675
2021-09-22 21:46:16.984348 : Epoch  3, Batch    119, Loss  0.777130, Average Loss  0.776347, Time  0.254628
2021-09-22 21:46:17.837370 : Epoch  3, Batch    139, Loss  0.777314, Average Loss  0.774587, Time  0.264968
2021-09-22 21:46:19.082716 : Epoch  3, Batch    120, Loss  0.781273, Average Loss  0.776338, Time  0.277080
2021-09-22 21:46:19.888954 : Epoch  3, Batch    140, Loss  0.776583, Average Loss  0.774549, Time  0.271563
2021-09-22 21:46:21.199931 : Epoch  3, Batch    121, Loss  0.780449, Average Loss  0.776357, Time  0.255265
2021-09-22 21:46:21.995004 : Epoch  3, Batch    141, Loss  0.774569, Average Loss  0.774538, Time  0.285000
2021-09-22 21:46:23.169952 : Epoch  3, Batch    122, Loss  0.780562, Average Loss  0.776302, Time  0.260769
2021-09-22 21:46:23.995529 : Epoch  3, Batch    142, Loss  0.771587, Average Loss  0.774515, Time  0.251996
2021-09-22 21:46:25.253985 : Epoch  3, Batch    123, Loss  0.769095, Average Loss  0.776266, Time  0.266642
2021-09-22 21:46:26.041729 : Epoch  3, Batch    143, Loss  0.774061, Average Loss  0.774515, Time  0.258234
2021-09-22 21:46:27.371521 : Epoch  3, Batch    124, Loss  0.764146, Average Loss  0.776183, Time  0.259112
2021-09-22 21:46:28.040405 : Epoch  3, Batch    144, Loss  0.772893, Average Loss  0.774524, Time  0.266836
2021-09-22 21:46:29.393452 : Epoch  3, Batch    125, Loss  0.769262, Average Loss  0.776214, Time  0.254215
2021-09-22 21:46:29.989063 : Epoch  3, Batch    145, Loss  0.776778, Average Loss  0.774481, Time  0.257446
2021-09-22 21:46:31.461230 : Epoch  3, Batch    126, Loss  0.770443, Average Loss  0.776175, Time  0.255255
2021-09-22 21:46:32.008524 : Epoch  3, Batch    146, Loss  0.770919, Average Loss  0.774421, Time  0.256657
2021-09-22 21:46:34.026300 : Epoch  3, Batch    147, Loss  0.769739, Average Loss  0.774370, Time  0.254577
2021-09-22 21:46:36.020810 : Epoch  3, Batch    148, Loss  0.778324, Average Loss  0.774420, Time  0.253091
2021-09-22 21:46:37.973319 : Epoch  3, Batch    149, Loss  0.775947, Average Loss  0.774455, Time  0.251110
2021-09-22 21:46:39.966551 : Epoch  3, Batch    150, Loss  0.775894, Average Loss  0.774441, Time  0.251829
2021-09-22 21:46:41.960037 : Epoch  3, Batch    151, Loss  0.781732, Average Loss  0.774510, Time  0.262707
2021-09-22 21:46:43.188877 : CheckPoint: Validation Loss  0.00015025, Best Loss  0.00014923
2021-09-22 21:46:43.939474 : Epoch  3, Batch    152, Loss  0.765256, Average Loss  0.774485, Time  0.252211
2021-09-22 21:46:45.946932 : Epoch  3, Batch    153, Loss  0.769573, Average Loss  0.774459, Time  0.255144
2021-09-22 21:46:47.937575 : Epoch  3, Batch    154, Loss  0.774628, Average Loss  0.774481, Time  0.251100
2021-09-22 21:46:48.164849 : Epoch  2, Batch    873, Loss  0.875904, Average Loss  0.874106, Time  0.414862
2021-09-22 21:46:50.133031 : Epoch  3, Batch    155, Loss  0.773622, Average Loss  0.774464, Time  0.345259
2021-09-22 21:46:52.241079 : Epoch  3, Batch    156, Loss  0.775335, Average Loss  0.774498, Time  0.257907
2021-09-22 21:46:53.136797 : Epoch  2, Batch    874, Loss  0.872616, Average Loss  0.874079, Time  0.413802
2021-09-22 21:46:54.283944 : Epoch  3, Batch    157, Loss  0.772971, Average Loss  0.774506, Time  0.259128
2021-09-22 21:46:56.265110 : Epoch  3, Batch    158, Loss  0.766629, Average Loss  0.774488, Time  0.251413
2021-09-22 21:46:58.142476 : Epoch  2, Batch    875, Loss  0.869298, Average Loss  0.874056, Time  0.414688
2021-09-22 21:46:58.277348 : Epoch  3, Batch    159, Loss  0.779869, Average Loss  0.774539, Time  0.251343
2021-09-22 21:47:00.267526 : Epoch  3, Batch    160, Loss  0.778063, Average Loss  0.774567, Time  0.251460
2021-09-22 21:47:02.230190 : Epoch  3, Batch    161, Loss  0.776623, Average Loss  0.774627, Time  0.254926
2021-09-22 21:47:03.134757 : Epoch  2, Batch    876, Loss  0.898247, Average Loss  0.874107, Time  0.413753
2021-09-22 21:47:04.323571 : Epoch  3, Batch    162, Loss  0.782651, Average Loss  0.774738, Time  0.332083
2021-09-22 21:47:06.388023 : Epoch  3, Batch    163, Loss  0.785445, Average Loss  0.774772, Time  0.333120
2021-09-22 21:47:08.122768 : Epoch  2, Batch    877, Loss  0.855706, Average Loss  0.874062, Time  0.413418
2021-09-22 21:47:08.466808 : Epoch  3, Batch    164, Loss  0.770164, Average Loss  0.774762, Time  0.251902
2021-09-22 21:47:10.426652 : Epoch  3, Batch    165, Loss  0.776860, Average Loss  0.774771, Time  0.258683
2021-09-22 21:47:12.385882 : Epoch  3, Batch    166, Loss  0.777192, Average Loss  0.774793, Time  0.252512
2021-09-22 21:47:13.136750 : Epoch  2, Batch    878, Loss  0.873848, Average Loss  0.874026, Time  0.415174
2021-09-22 21:47:14.438729 : Epoch  3, Batch    167, Loss  0.778381, Average Loss  0.774773, Time  0.264949
2021-09-22 21:47:16.585454 : Epoch  3, Batch    168, Loss  0.768087, Average Loss  0.774759, Time  0.251563
2021-09-22 21:47:18.167109 : Epoch  2, Batch    879, Loss  0.878116, Average Loss  0.874131, Time  0.442078
2021-09-22 21:47:18.577590 : Epoch  3, Batch    169, Loss  0.774323, Average Loss  0.774793, Time  0.270048
2021-09-22 21:47:20.636301 : Epoch  3, Batch    170, Loss  0.772180, Average Loss  0.774760, Time  0.326965
2021-09-22 21:47:22.576852 : Epoch  3, Batch    171, Loss  0.772522, Average Loss  0.774780, Time  0.257473
2021-09-22 21:47:23.145858 : Epoch  2, Batch    880, Loss  0.884123, Average Loss  0.874203, Time  0.413766
2021-09-22 21:47:24.525445 : Epoch  3, Batch    172, Loss  0.762142, Average Loss  0.774671, Time  0.254979
2021-09-22 21:47:26.475937 : Epoch  3, Batch    173, Loss  0.763978, Average Loss  0.774614, Time  0.259058
2021-09-22 21:47:28.144016 : Epoch  2, Batch    881, Loss  0.889673, Average Loss  0.874268, Time  0.414438
2021-09-22 21:47:28.636499 : Epoch  3, Batch    174, Loss  0.771459, Average Loss  0.774625, Time  0.254218
2021-09-22 21:47:30.617804 : Epoch  3, Batch    175, Loss  0.787934, Average Loss  0.774706, Time  0.253670
2021-09-22 21:47:32.561934 : Epoch  3, Batch    176, Loss  0.765840, Average Loss  0.774679, Time  0.250376
2021-09-22 21:47:33.125125 : Epoch  2, Batch    882, Loss  0.886705, Average Loss  0.874339, Time  0.414465
2021-09-22 21:47:34.512279 : Epoch  3, Batch    177, Loss  0.776073, Average Loss  0.774640, Time  0.260610
2021-09-22 21:47:36.472226 : Epoch  3, Batch    178, Loss  0.775840, Average Loss  0.774639, Time  0.250626
2021-09-22 21:47:38.105910 : Epoch  2, Batch    883, Loss  0.883564, Average Loss  0.874416, Time  0.414294
2021-09-22 21:47:38.483714 : Epoch  3, Batch    179, Loss  0.774499, Average Loss  0.774597, Time  0.326314
2021-09-22 21:47:40.430020 : Epoch  3, Batch    180, Loss  0.773105, Average Loss  0.774550, Time  0.256257
2021-09-22 21:47:42.542518 : Epoch  3, Batch    181, Loss  0.774493, Average Loss  0.774510, Time  0.251404
2021-09-22 21:47:43.118779 : Epoch  2, Batch    884, Loss  0.868872, Average Loss  0.874387, Time  0.414491
2021-09-22 21:47:44.671218 : Epoch  3, Batch    182, Loss  0.771757, Average Loss  0.774488, Time  0.251599
2021-09-22 21:47:46.712838 : Epoch  3, Batch    183, Loss  0.786035, Average Loss  0.774574, Time  0.270636
2021-09-22 21:47:48.098701 : CheckPoint: Validation Loss  0.00032047, Best Loss  0.00031729
2021-09-22 21:47:48.103839 : Epoch  2, Batch    885, Loss  0.861400, Average Loss  0.874403, Time  0.414090
2021-09-22 21:47:48.717652 : Epoch  3, Batch    184, Loss  0.780752, Average Loss  0.774535, Time  0.263593
2021-09-22 21:47:50.087996 : Epoch  3, Batch    127, Loss  0.789235, Average Loss  0.776239, Time  0.269329
2021-09-22 21:47:50.720697 : Epoch  3, Batch    185, Loss  0.776565, Average Loss  0.774537, Time  0.250793
2021-09-22 21:47:52.134709 : Epoch  3, Batch    128, Loss  0.776277, Average Loss  0.776254, Time  0.256638
2021-09-22 21:47:52.694343 : Epoch  3, Batch    186, Loss  0.772651, Average Loss  0.774572, Time  0.250088
2021-09-22 21:47:53.115873 : Epoch  2, Batch    886, Loss  0.872214, Average Loss  0.874359, Time  0.413904
2021-09-22 21:47:54.148633 : Epoch  3, Batch    129, Loss  0.775550, Average Loss  0.776230, Time  0.266902
2021-09-22 21:47:54.637878 : Epoch  3, Batch    187, Loss  0.779300, Average Loss  0.774627, Time  0.255375
2021-09-22 21:47:56.188195 : Epoch  3, Batch    130, Loss  0.781277, Average Loss  0.776274, Time  0.268842
2021-09-22 21:47:56.682933 : Epoch  3, Batch    188, Loss  0.780399, Average Loss  0.774631, Time  0.256850
2021-09-22 21:47:58.096000 : Epoch  2, Batch    887, Loss  0.874664, Average Loss  0.874356, Time  0.413568
2021-09-22 21:47:58.230164 : Epoch  3, Batch    131, Loss  0.775511, Average Loss  0.776263, Time  0.258512
2021-09-22 21:47:58.698861 : Epoch  3, Batch    189, Loss  0.763522, Average Loss  0.774539, Time  0.252022
2021-09-22 21:48:00.263405 : Epoch  3, Batch    132, Loss  0.785128, Average Loss  0.776332, Time  0.254866
2021-09-22 21:48:00.754902 : Epoch  3, Batch    190, Loss  0.770065, Average Loss  0.774498, Time  0.252929
2021-09-22 21:48:02.438455 : Epoch  3, Batch    133, Loss  0.749471, Average Loss  0.776175, Time  0.262017
2021-09-22 21:48:02.861346 : Epoch  3, Batch    191, Loss  0.773364, Average Loss  0.774482, Time  0.272142
2021-09-22 21:48:03.113959 : Epoch  2, Batch    888, Loss  0.886893, Average Loss  0.874479, Time  0.461915
2021-09-22 21:48:04.515638 : Epoch  3, Batch    134, Loss  0.778597, Average Loss  0.776182, Time  0.273281
2021-09-22 21:48:04.805999 : Epoch  3, Batch    192, Loss  0.781598, Average Loss  0.774547, Time  0.258485
2021-09-22 21:48:06.560196 : Epoch  3, Batch    135, Loss  0.770177, Average Loss  0.776130, Time  0.268836
2021-09-22 21:48:06.867349 : Epoch  3, Batch    193, Loss  0.774036, Average Loss  0.774585, Time  0.251277
2021-09-22 21:48:08.120051 : Epoch  2, Batch    889, Loss  0.881179, Average Loss  0.874562, Time  0.414124
2021-09-22 21:48:08.586205 : Epoch  3, Batch    136, Loss  0.781043, Average Loss  0.776185, Time  0.259111
2021-09-22 21:48:08.869033 : Epoch  3, Batch    194, Loss  0.769827, Average Loss  0.774586, Time  0.251606
2021-09-22 21:48:10.790241 : Epoch  3, Batch    137, Loss  0.781857, Average Loss  0.776187, Time  0.382009
2021-09-22 21:48:10.915695 : Epoch  3, Batch    195, Loss  0.771791, Average Loss  0.774533, Time  0.364595
2021-09-22 21:48:13.093489 : Epoch  3, Batch    138, Loss  0.773341, Average Loss  0.776182, Time  0.438700
2021-09-22 21:48:13.106516 : Epoch  2, Batch    890, Loss  0.884686, Average Loss  0.874635, Time  0.413884
2021-09-22 21:48:13.177934 : Epoch  3, Batch    196, Loss  0.768476, Average Loss  0.774497, Time  0.415538
2021-09-22 21:48:15.136005 : Epoch  3, Batch    139, Loss  0.777992, Average Loss  0.776153, Time  0.261556
2021-09-22 21:48:17.056998 : Epoch  3, Batch    140, Loss  0.777588, Average Loss  0.776148, Time  0.254849
2021-09-22 21:48:17.987106 : Epoch  3, Batch    197, Loss  0.765639, Average Loss  0.774423, Time  0.251569
2021-09-22 21:48:18.101836 : Epoch  2, Batch    891, Loss  0.876870, Average Loss  0.874650, Time  0.414146
2021-09-22 21:48:19.064424 : Epoch  3, Batch    141, Loss  0.767760, Average Loss  0.776075, Time  0.256354
2021-09-22 21:48:19.954202 : Epoch  3, Batch    198, Loss  0.778491, Average Loss  0.774439, Time  0.259162
2021-09-22 21:48:21.061905 : Epoch  3, Batch    142, Loss  0.790067, Average Loss  0.776142, Time  0.256582
2021-09-22 21:48:21.988154 : Epoch  3, Batch    199, Loss  0.766310, Average Loss  0.774363, Time  0.278020
2021-09-22 21:48:23.068092 : Epoch  2, Batch    892, Loss  0.863753, Average Loss  0.874579, Time  0.413698
2021-09-22 21:48:23.182680 : Epoch  3, Batch    143, Loss  0.775148, Average Loss  0.776140, Time  0.332750
2021-09-22 21:48:23.937492 : Epoch  3, Batch    200, Loss  0.784497, Average Loss  0.774399, Time  0.251732
2021-09-22 21:48:25.242962 : Epoch  3, Batch    144, Loss  0.773794, Average Loss  0.776108, Time  0.257224
2021-09-22 21:48:26.020897 : Epoch  3, Batch    201, Loss  0.772809, Average Loss  0.774384, Time  0.256287
2021-09-22 21:48:27.351373 : Epoch  3, Batch    145, Loss  0.772852, Average Loss  0.776119, Time  0.275854
2021-09-22 21:48:28.052799 : Epoch  2, Batch    893, Loss  0.883635, Average Loss  0.874699, Time  0.413660
2021-09-22 21:48:28.103705 : Epoch  3, Batch    202, Loss  0.776167, Average Loss  0.774455, Time  0.254318
2021-09-22 21:48:29.453418 : Epoch  3, Batch    146, Loss  0.781252, Average Loss  0.776163, Time  0.256572
2021-09-22 21:48:30.145318 : Epoch  3, Batch    203, Loss  0.775899, Average Loss  0.774408, Time  0.252904
2021-09-22 21:48:31.544904 : Epoch  3, Batch    147, Loss  0.775885, Average Loss  0.776201, Time  0.254598
2021-09-22 21:48:32.246476 : Epoch  3, Batch    204, Loss  0.766215, Average Loss  0.774326, Time  0.249956
2021-09-22 21:48:33.041330 : Epoch  2, Batch    894, Loss  0.878001, Average Loss  0.874665, Time  0.415068
2021-09-22 21:48:33.619733 : Epoch  3, Batch    148, Loss  0.779546, Average Loss  0.776199, Time  0.282629
2021-09-22 21:48:34.281912 : Epoch  3, Batch    205, Loss  0.777808, Average Loss  0.774365, Time  0.259355
2021-09-22 21:48:35.623445 : Epoch  3, Batch    149, Loss  0.784411, Average Loss  0.776227, Time  0.253137
2021-09-22 21:48:36.338519 : Epoch  3, Batch    206, Loss  0.772535, Average Loss  0.774364, Time  0.259439
2021-09-22 21:48:37.647020 : Epoch  3, Batch    150, Loss  0.783296, Average Loss  0.776254, Time  0.254052
2021-09-22 21:48:38.035929 : Epoch  2, Batch    895, Loss  0.872413, Average Loss  0.874691, Time  0.414633
2021-09-22 21:48:38.344569 : Epoch  3, Batch    207, Loss  0.760936, Average Loss  0.774286, Time  0.259506
2021-09-22 21:48:39.779407 : Epoch  3, Batch    151, Loss  0.775750, Average Loss  0.776209, Time  0.264230
2021-09-22 21:48:40.472563 : Epoch  3, Batch    208, Loss  0.768984, Average Loss  0.774319, Time  0.259644
2021-09-22 21:48:41.803915 : Epoch  3, Batch    152, Loss  0.767575, Average Loss  0.776137, Time  0.265756
2021-09-22 21:48:42.447676 : Epoch  3, Batch    209, Loss  0.767929, Average Loss  0.774282, Time  0.253111
2021-09-22 21:48:43.086822 : Epoch  2, Batch    896, Loss  0.867732, Average Loss  0.874710, Time  0.437606
2021-09-22 21:48:43.872756 : Epoch  3, Batch    153, Loss  0.781002, Average Loss  0.776109, Time  0.259535
2021-09-22 21:48:44.556405 : Epoch  3, Batch    210, Loss  0.760367, Average Loss  0.774236, Time  0.251738
2021-09-22 21:48:45.908900 : Epoch  3, Batch    154, Loss  0.775233, Average Loss  0.776101, Time  0.254946
2021-09-22 21:48:46.518099 : Epoch  3, Batch    211, Loss  0.776286, Average Loss  0.774281, Time  0.254263
2021-09-22 21:48:47.964375 : Epoch  3, Batch    155, Loss  0.769208, Average Loss  0.776040, Time  0.254613
2021-09-22 21:48:48.115955 : Epoch  2, Batch    897, Loss  0.864487, Average Loss  0.874636, Time  0.466252
2021-09-22 21:48:48.517897 : Epoch  3, Batch    212, Loss  0.773720, Average Loss  0.774324, Time  0.264935
2021-09-22 21:48:50.110842 : Epoch  3, Batch    156, Loss  0.771682, Average Loss  0.775978, Time  0.263190
2021-09-22 21:48:50.664816 : Epoch  3, Batch    213, Loss  0.778734, Average Loss  0.774368, Time  0.261483
2021-09-22 21:48:52.186185 : Epoch  3, Batch    157, Loss  0.767609, Average Loss  0.775909, Time  0.257548
2021-09-22 21:48:52.723746 : Epoch  3, Batch    214, Loss  0.776819, Average Loss  0.774408, Time  0.253476
2021-09-22 21:48:53.111752 : Epoch  2, Batch    898, Loss  0.863558, Average Loss  0.874603, Time  0.420173
2021-09-22 21:48:54.231341 : Epoch  3, Batch    158, Loss  0.765549, Average Loss  0.775809, Time  0.262938
2021-09-22 21:48:54.788758 : Epoch  3, Batch    215, Loss  0.777229, Average Loss  0.774470, Time  0.260474
2021-09-22 21:48:56.318217 : Epoch  3, Batch    159, Loss  0.768592, Average Loss  0.775748, Time  0.254493
2021-09-22 21:48:56.758704 : Epoch  3, Batch    216, Loss  0.769384, Average Loss  0.774429, Time  0.251928
2021-09-22 21:48:58.082604 : Epoch  2, Batch    899, Loss  0.878222, Average Loss  0.874651, Time  0.414043
2021-09-22 21:48:58.313338 : Epoch  3, Batch    160, Loss  0.762944, Average Loss  0.775695, Time  0.270535
2021-09-22 21:48:58.678094 : Epoch  3, Batch    217, Loss  0.783116, Average Loss  0.774467, Time  0.252499
2021-09-22 21:49:00.449934 : Epoch  3, Batch    161, Loss  0.768316, Average Loss  0.775672, Time  0.262034
2021-09-22 21:49:00.719034 : Epoch  3, Batch    218, Loss  0.768891, Average Loss  0.774447, Time  0.255113
2021-09-22 21:49:02.691305 : Epoch  3, Batch    162, Loss  0.773270, Average Loss  0.775613, Time  0.424550
2021-09-22 21:49:02.780695 : Epoch  3, Batch    219, Loss  0.774352, Average Loss  0.774405, Time  0.388597
2021-09-22 21:49:03.065778 : Epoch  2, Batch    900, Loss  0.867443, Average Loss  0.874727, Time  0.413939
2021-09-22 21:49:04.909925 : Epoch  3, Batch    163, Loss  0.780003, Average Loss  0.775608, Time  0.422243
2021-09-22 21:49:05.004913 : Epoch  3, Batch    220, Loss  0.781199, Average Loss  0.774448, Time  0.382371
2021-09-22 21:49:07.273108 : Epoch  3, Batch    164, Loss  0.762075, Average Loss  0.775581, Time  0.505353
2021-09-22 21:49:07.319702 : Epoch  3, Batch    221, Loss  0.775595, Average Loss  0.774481, Time  0.458288
2021-09-22 21:49:08.049766 : Epoch  2, Batch    901, Loss  0.862482, Average Loss  0.874680, Time  0.413254
2021-09-22 21:49:09.570743 : Epoch  3, Batch    222, Loss  0.771384, Average Loss  0.774507, Time  0.476438
2021-09-22 21:49:09.646245 : Epoch  3, Batch    165, Loss  0.769263, Average Loss  0.775499, Time  0.449049
2021-09-22 21:49:11.901701 : Epoch  3, Batch    223, Loss  0.774114, Average Loss  0.774505, Time  0.495113
2021-09-22 21:49:11.944766 : Epoch  3, Batch    166, Loss  0.776618, Average Loss  0.775533, Time  0.458100
2021-09-22 21:49:13.024876 : Epoch  2, Batch    902, Loss  0.865322, Average Loss  0.874577, Time  0.413730
2021-09-22 21:49:14.195542 : Epoch  3, Batch    224, Loss  0.771387, Average Loss  0.774490, Time  0.496448
2021-09-22 21:49:14.233464 : Epoch  3, Batch    167, Loss  0.782432, Average Loss  0.775498, Time  0.485119
2021-09-22 21:49:16.493968 : Epoch  3, Batch    225, Loss  0.762123, Average Loss  0.774418, Time  0.508192
2021-09-22 21:49:16.531539 : Epoch  3, Batch    168, Loss  0.771236, Average Loss  0.775486, Time  0.465849
2021-09-22 21:49:18.003801 : Epoch  2, Batch    903, Loss  0.859811, Average Loss  0.874497, Time  0.413630
2021-09-22 21:49:18.807489 : Epoch  3, Batch    169, Loss  0.769235, Average Loss  0.775454, Time  0.510645
2021-09-22 21:49:18.837610 : Epoch  3, Batch    226, Loss  0.752661, Average Loss  0.774247, Time  0.527745
2021-09-22 21:49:20.822401 : Epoch  3, Batch    170, Loss  0.786610, Average Loss  0.775518, Time  0.258509
2021-09-22 21:49:22.973774 : Epoch  3, Batch    171, Loss  0.772234, Average Loss  0.775519, Time  0.281798
2021-09-22 21:49:22.979207 : Epoch  2, Batch    904, Loss  0.872763, Average Loss  0.874501, Time  0.413738
2021-09-22 21:49:25.120728 : Epoch  3, Batch    172, Loss  0.775298, Average Loss  0.775516, Time  0.282649
2021-09-22 21:49:27.181062 : Epoch  3, Batch    173, Loss  0.782570, Average Loss  0.775527, Time  0.326859
2021-09-22 21:49:27.965757 : Epoch  2, Batch    905, Loss  0.858883, Average Loss  0.874418, Time  0.413030
2021-09-22 21:49:29.203038 : Epoch  3, Batch    174, Loss  0.777683, Average Loss  0.775507, Time  0.260610
2021-09-22 21:49:31.244464 : Epoch  3, Batch    175, Loss  0.776082, Average Loss  0.775563, Time  0.254287
2021-09-22 21:49:32.960769 : Epoch  2, Batch    906, Loss  0.859967, Average Loss  0.874340, Time  0.433327
2021-09-22 21:49:33.319166 : Epoch  3, Batch    176, Loss  0.782064, Average Loss  0.775611, Time  0.263438
2021-09-22 21:49:35.368092 : Epoch  3, Batch    177, Loss  0.782141, Average Loss  0.775604, Time  0.256018
2021-09-22 21:49:37.357723 : Epoch  3, Batch    178, Loss  0.783535, Average Loss  0.775618, Time  0.276587
2021-09-22 21:49:37.941837 : Epoch  2, Batch    907, Loss  0.882961, Average Loss  0.874355, Time  0.413261
2021-09-22 21:49:39.501864 : Epoch  3, Batch    179, Loss  0.784167, Average Loss  0.775634, Time  0.290576
2021-09-22 21:49:41.684422 : Epoch  3, Batch    180, Loss  0.773792, Average Loss  0.775664, Time  0.266694
2021-09-22 21:49:42.930813 : Epoch  2, Batch    908, Loss  0.870281, Average Loss  0.874373, Time  0.414427
2021-09-22 21:49:43.744497 : Epoch  3, Batch    181, Loss  0.771419, Average Loss  0.775700, Time  0.255244
2021-09-22 21:49:45.841346 : Epoch  3, Batch    182, Loss  0.768738, Average Loss  0.775727, Time  0.268618
2021-09-22 21:49:47.923694 : Epoch  2, Batch    909, Loss  0.874504, Average Loss  0.874352, Time  0.413287
2021-09-22 21:49:47.959955 : Epoch  3, Batch    183, Loss  0.774514, Average Loss  0.775744, Time  0.267798
2021-09-22 21:49:50.020650 : Epoch  3, Batch    184, Loss  0.772466, Average Loss  0.775708, Time  0.268898
2021-09-22 21:49:52.047717 : Epoch  3, Batch    185, Loss  0.781532, Average Loss  0.775732, Time  0.256187
2021-09-22 21:49:52.904745 : Epoch  2, Batch    910, Loss  0.869075, Average Loss  0.874273, Time  0.414252
2021-09-22 21:49:54.162436 : Epoch  3, Batch    186, Loss  0.759941, Average Loss  0.775634, Time  0.330493
2021-09-22 21:49:56.228467 : Epoch  3, Batch    187, Loss  0.769314, Average Loss  0.775551, Time  0.268403
2021-09-22 21:49:57.869741 : Epoch  2, Batch    911, Loss  0.850069, Average Loss  0.874222, Time  0.414002
2021-09-22 21:49:58.267895 : Epoch  3, Batch    188, Loss  0.773613, Average Loss  0.775554, Time  0.262083
2021-09-22 21:50:00.237887 : Epoch  3, Batch    189, Loss  0.770321, Average Loss  0.775564, Time  0.259089
2021-09-22 21:50:02.278457 : Epoch  3, Batch    190, Loss  0.771320, Average Loss  0.775532, Time  0.280170
2021-09-22 21:50:02.882880 : Epoch  2, Batch    912, Loss  0.882526, Average Loss  0.874296, Time  0.415700
2021-09-22 21:50:04.284890 : Epoch  3, Batch    191, Loss  0.781412, Average Loss  0.775525, Time  0.255252
2021-09-22 21:50:06.351033 : Epoch  3, Batch    192, Loss  0.790516, Average Loss  0.775590, Time  0.327551
2021-09-22 21:50:07.887095 : Epoch  2, Batch    913, Loss  0.878721, Average Loss  0.874257, Time  0.414859
2021-09-22 21:50:08.411542 : Epoch  3, Batch    193, Loss  0.771442, Average Loss  0.775554, Time  0.262114
2021-09-22 21:50:10.457473 : Epoch  3, Batch    194, Loss  0.761355, Average Loss  0.775481, Time  0.254130
2021-09-22 21:50:12.517997 : Epoch  3, Batch    195, Loss  0.774764, Average Loss  0.775479, Time  0.255752
2021-09-22 21:50:12.852760 : Epoch  2, Batch    914, Loss  0.877222, Average Loss  0.874199, Time  0.413286
2021-09-22 21:50:14.559152 : Epoch  3, Batch    196, Loss  0.787490, Average Loss  0.775469, Time  0.292118
2021-09-22 21:50:17.871367 : Epoch  2, Batch    915, Loss  0.872473, Average Loss  0.874059, Time  0.461121
2021-09-22 21:50:19.154155 : Epoch  3, Batch    197, Loss  0.788780, Average Loss  0.775527, Time  0.262697
2021-09-22 21:50:21.181284 : Epoch  3, Batch    198, Loss  0.771416, Average Loss  0.775518, Time  0.255246
2021-09-22 21:50:22.845787 : Epoch  2, Batch    916, Loss  0.875814, Average Loss  0.874110, Time  0.413436
2021-09-22 21:50:23.167890 : Epoch  3, Batch    199, Loss  0.772217, Average Loss  0.775452, Time  0.253607
2021-09-22 21:50:25.226605 : Epoch  3, Batch    200, Loss  0.777458, Average Loss  0.775402, Time  0.253601
2021-09-22 21:50:27.262856 : Epoch  3, Batch    201, Loss  0.769053, Average Loss  0.775380, Time  0.278258
2021-09-22 21:50:27.821786 : Epoch  2, Batch    917, Loss  0.871230, Average Loss  0.874021, Time  0.413175
2021-09-22 21:50:29.407687 : Epoch  3, Batch    202, Loss  0.769054, Average Loss  0.775298, Time  0.358213
2021-09-22 21:50:31.456693 : Epoch  3, Batch    203, Loss  0.779395, Average Loss  0.775351, Time  0.275338
2021-09-22 21:50:32.792787 : Epoch  2, Batch    918, Loss  0.864111, Average Loss  0.874085, Time  0.414918
2021-09-22 21:50:33.508313 : Epoch  3, Batch    204, Loss  0.784524, Average Loss  0.775387, Time  0.254573
2021-09-22 21:50:35.250761 : CheckPoint: Validation Loss  0.00032631, Best Loss  0.00031612
2021-09-22 21:50:35.549983 : Epoch  3, Batch    205, Loss  0.767338, Average Loss  0.775332, Time  0.277310
2021-09-22 21:50:37.266098 : Epoch  3, Batch    227, Loss  0.787278, Average Loss  0.774291, Time  0.250922
2021-09-22 21:50:37.557080 : Epoch  3, Batch    206, Loss  0.771886, Average Loss  0.775294, Time  0.264138
2021-09-22 21:50:37.807827 : Epoch  2, Batch    919, Loss  0.865326, Average Loss  0.874045, Time  0.415350
2021-09-22 21:50:39.240480 : Epoch  3, Batch    228, Loss  0.777910, Average Loss  0.774244, Time  0.259289
2021-09-22 21:50:39.609925 : Epoch  3, Batch    207, Loss  0.762689, Average Loss  0.775272, Time  0.254962
2021-09-22 21:50:41.277962 : Epoch  3, Batch    229, Loss  0.765410, Average Loss  0.774196, Time  0.286432
2021-09-22 21:50:41.601383 : Epoch  3, Batch    208, Loss  0.787771, Average Loss  0.775303, Time  0.259439
2021-09-22 21:50:42.798930 : Epoch  2, Batch    920, Loss  0.863170, Average Loss  0.874016, Time  0.414189
2021-09-22 21:50:43.283376 : Epoch  3, Batch    230, Loss  0.776028, Average Loss  0.774236, Time  0.255058
2021-09-22 21:50:43.568329 : Epoch  3, Batch    209, Loss  0.763358, Average Loss  0.775255, Time  0.258693
2021-09-22 21:50:45.343275 : Epoch  3, Batch    231, Loss  0.778649, Average Loss  0.774190, Time  0.252107
2021-09-22 21:50:45.609345 : Epoch  3, Batch    210, Loss  0.775234, Average Loss  0.775295, Time  0.255871
2021-09-22 21:50:47.340356 : Epoch  3, Batch    232, Loss  0.779461, Average Loss  0.774204, Time  0.264868
2021-09-22 21:50:47.678413 : Epoch  3, Batch    211, Loss  0.768134, Average Loss  0.775253, Time  0.260039
2021-09-22 21:50:47.790890 : Epoch  2, Batch    921, Loss  0.885655, Average Loss  0.874090, Time  0.413995
2021-09-22 21:50:49.469910 : Epoch  3, Batch    233, Loss  0.763584, Average Loss  0.774197, Time  0.264619
2021-09-22 21:50:49.776477 : Epoch  3, Batch    212, Loss  0.769005, Average Loss  0.775215, Time  0.256887
2021-09-22 21:50:51.403866 : Epoch  3, Batch    234, Loss  0.769355, Average Loss  0.774161, Time  0.253162
2021-09-22 21:50:51.771645 : Epoch  3, Batch    213, Loss  0.774408, Average Loss  0.775253, Time  0.254722
2021-09-22 21:50:52.783267 : Epoch  2, Batch    922, Loss  0.878954, Average Loss  0.874080, Time  0.413961
2021-09-22 21:50:53.289607 : Epoch  3, Batch    235, Loss  0.756188, Average Loss  0.773959, Time  0.251836
2021-09-22 21:50:53.667112 : Epoch  3, Batch    214, Loss  0.786584, Average Loss  0.775300, Time  0.262180
2021-09-22 21:50:55.169042 : Epoch  3, Batch    236, Loss  0.774579, Average Loss  0.773921, Time  0.252815
2021-09-22 21:50:55.601849 : Epoch  3, Batch    215, Loss  0.773092, Average Loss  0.775326, Time  0.256249
2021-09-22 21:50:57.040799 : Epoch  3, Batch    237, Loss  0.771224, Average Loss  0.773916, Time  0.261339
2021-09-22 21:50:57.510718 : Epoch  3, Batch    216, Loss  0.780535, Average Loss  0.775302, Time  0.254319
2021-09-22 21:50:57.797911 : Epoch  2, Batch    923, Loss  0.876321, Average Loss  0.874080, Time  0.414343
2021-09-22 21:50:58.913911 : Epoch  3, Batch    238, Loss  0.775807, Average Loss  0.773970, Time  0.253178
2021-09-22 21:50:59.403242 : Epoch  3, Batch    217, Loss  0.785517, Average Loss  0.775305, Time  0.253955
2021-09-22 21:51:00.776379 : Epoch  3, Batch    239, Loss  0.775584, Average Loss  0.773984, Time  0.250684
2021-09-22 21:51:01.296867 : Epoch  3, Batch    218, Loss  0.768575, Average Loss  0.775279, Time  0.254654
2021-09-22 21:51:02.655795 : Epoch  3, Batch    240, Loss  0.776217, Average Loss  0.773955, Time  0.252814
2021-09-22 21:51:02.818876 : Epoch  2, Batch    924, Loss  0.861598, Average Loss  0.873988, Time  0.450059
2021-09-22 21:51:03.203270 : Epoch  3, Batch    219, Loss  0.769540, Average Loss  0.775199, Time  0.260980
2021-09-22 21:51:04.534541 : Epoch  3, Batch    241, Loss  0.790942, Average Loss  0.773988, Time  0.251382
2021-09-22 21:51:05.116405 : Epoch  3, Batch    220, Loss  0.782611, Average Loss  0.775229, Time  0.254516
2021-09-22 21:51:06.443736 : Epoch  3, Batch    242, Loss  0.775835, Average Loss  0.773983, Time  0.250115
2021-09-22 21:51:07.033146 : Epoch  3, Batch    221, Loss  0.775315, Average Loss  0.775182, Time  0.261964
2021-09-22 21:51:07.790785 : Epoch  2, Batch    925, Loss  0.876561, Average Loss  0.874036, Time  0.413229
2021-09-22 21:51:08.331353 : Epoch  3, Batch    243, Loss  0.767164, Average Loss  0.773943, Time  0.251307
2021-09-22 21:51:08.934420 : Epoch  3, Batch    222, Loss  0.767914, Average Loss  0.775117, Time  0.255664
2021-09-22 21:51:10.197834 : Epoch  3, Batch    244, Loss  0.773292, Average Loss  0.773982, Time  0.249381
2021-09-22 21:51:10.841921 : Epoch  3, Batch    223, Loss  0.770241, Average Loss  0.775126, Time  0.255631
2021-09-22 21:51:12.084813 : Epoch  3, Batch    245, Loss  0.768799, Average Loss  0.773949, Time  0.250964
2021-09-22 21:51:12.741067 : Epoch  3, Batch    224, Loss  0.775498, Average Loss  0.775128, Time  0.253651
2021-09-22 21:51:12.776813 : Epoch  2, Batch    926, Loss  0.887962, Average Loss  0.874065, Time  0.414067
2021-09-22 21:51:13.969566 : Epoch  3, Batch    246, Loss  0.787140, Average Loss  0.773957, Time  0.250576
2021-09-22 21:51:14.639988 : Epoch  3, Batch    225, Loss  0.774437, Average Loss  0.775123, Time  0.253730
2021-09-22 21:51:15.841070 : Epoch  3, Batch    247, Loss  0.777720, Average Loss  0.773943, Time  0.251896
2021-09-22 21:51:16.568613 : Epoch  3, Batch    226, Loss  0.777768, Average Loss  0.775172, Time  0.254284
2021-09-22 21:51:17.718677 : Epoch  3, Batch    248, Loss  0.768867, Average Loss  0.773964, Time  0.252003
2021-09-22 21:51:17.755048 : Epoch  2, Batch    927, Loss  0.853562, Average Loss  0.873973, Time  0.413966
2021-09-22 21:51:19.608238 : Epoch  3, Batch    249, Loss  0.784397, Average Loss  0.774047, Time  0.252923
2021-09-22 21:51:21.495516 : Epoch  3, Batch    250, Loss  0.764141, Average Loss  0.774007, Time  0.250806
2021-09-22 21:51:22.731808 : Epoch  2, Batch    928, Loss  0.878625, Average Loss  0.874002, Time  0.413202
2021-09-22 21:51:22.762555 : Saving Model after 2-th Epoch.
2021-09-22 21:51:23.356763 : Epoch  3, Batch    251, Loss  0.781416, Average Loss  0.774047, Time  0.250183
2021-09-22 21:51:23.533803 : Epoch Finished.
2021-09-22 21:51:25.312369 : Epoch  3, Batch    252, Loss  0.771000, Average Loss  0.774002, Time  0.250610
2021-09-22 21:51:27.262597 : Epoch  3, Batch    253, Loss  0.773118, Average Loss  0.773963, Time  0.324968
2021-09-22 21:51:29.147385 : Epoch  3, Batch    254, Loss  0.788895, Average Loss  0.774056, Time  0.251928
2021-09-22 21:51:31.023982 : Epoch  3, Batch    255, Loss  0.768072, Average Loss  0.773996, Time  0.250104
2021-09-22 21:51:32.347591 : Batch Shuffled
2021-09-22 21:51:32.896280 : Epoch  3, Batch    256, Loss  0.778139, Average Loss  0.774078, Time  0.251185
2021-09-22 21:51:34.767825 : Epoch  3, Batch    257, Loss  0.777286, Average Loss  0.774057, Time  0.249720
2021-09-22 21:51:36.647499 : Epoch  3, Batch    258, Loss  0.767886, Average Loss  0.774085, Time  0.250841
2021-09-22 21:51:37.324046 : Epoch  3, Batch      1, Loss  0.868192, Average Loss  0.874030, Time  0.416353
2021-09-22 21:51:38.523468 : Epoch  3, Batch    259, Loss  0.775098, Average Loss  0.774063, Time  0.250966
2021-09-22 21:51:40.406439 : Epoch  3, Batch    260, Loss  0.776115, Average Loss  0.774120, Time  0.251291
2021-09-22 21:51:42.283840 : Epoch  3, Batch      2, Loss  0.885440, Average Loss  0.874164, Time  0.414175
2021-09-22 21:51:42.376888 : Epoch  3, Batch    261, Loss  0.773527, Average Loss  0.774089, Time  0.328008
2021-09-22 21:51:44.254915 : Epoch  3, Batch    262, Loss  0.767139, Average Loss  0.774053, Time  0.254214
2021-09-22 21:51:46.128846 : Epoch  3, Batch    263, Loss  0.776921, Average Loss  0.774083, Time  0.254592
2021-09-22 21:51:47.235929 : Epoch  3, Batch      3, Loss  0.860008, Average Loss  0.874033, Time  0.414077
2021-09-22 21:51:48.017559 : Epoch  3, Batch    264, Loss  0.769255, Average Loss  0.774108, Time  0.250870
2021-09-22 21:51:49.911973 : Epoch  3, Batch    265, Loss  0.770101, Average Loss  0.774105, Time  0.252518
2021-09-22 21:51:51.796502 : Epoch  3, Batch    266, Loss  0.773434, Average Loss  0.774103, Time  0.252195
2021-09-22 21:51:52.203794 : Epoch  3, Batch      4, Loss  0.877503, Average Loss  0.874046, Time  0.437395
2021-09-22 21:51:53.669115 : Epoch  3, Batch    267, Loss  0.765151, Average Loss  0.774050, Time  0.250487
2021-09-22 21:51:55.637682 : Epoch  3, Batch    268, Loss  0.768459, Average Loss  0.774035, Time  0.323657
2021-09-22 21:51:57.161248 : Epoch  3, Batch      5, Loss  0.871997, Average Loss  0.873944, Time  0.413380
2021-09-22 21:51:57.519003 : Epoch  3, Batch    269, Loss  0.767417, Average Loss  0.774019, Time  0.253022
2021-09-22 21:51:59.387139 : Epoch  3, Batch    270, Loss  0.769115, Average Loss  0.773970, Time  0.251346
2021-09-22 21:52:01.276185 : Epoch  3, Batch    271, Loss  0.770663, Average Loss  0.773992, Time  0.250822
2021-09-22 21:52:02.103393 : Epoch  3, Batch      6, Loss  0.869729, Average Loss  0.873940, Time  0.414378
2021-09-22 21:52:03.151897 : Epoch  3, Batch    272, Loss  0.777873, Average Loss  0.774016, Time  0.256422
2021-09-22 21:52:05.022827 : Epoch  3, Batch    273, Loss  0.775759, Average Loss  0.773994, Time  0.249918
2021-09-22 21:52:06.914840 : Epoch  3, Batch    274, Loss  0.769863, Average Loss  0.773952, Time  0.251554
2021-09-22 21:52:07.052786 : Epoch  3, Batch      7, Loss  0.862754, Average Loss  0.873857, Time  0.413444
2021-09-22 21:52:08.782171 : Epoch  3, Batch    275, Loss  0.765678, Average Loss  0.773903, Time  0.251439
2021-09-22 21:52:10.720484 : Epoch  3, Batch    276, Loss  0.776696, Average Loss  0.773924, Time  0.325925
2021-09-22 21:52:12.003032 : Epoch  3, Batch      8, Loss  0.884711, Average Loss  0.873969, Time  0.413380
2021-09-22 21:52:12.590992 : Epoch  3, Batch    277, Loss  0.771688, Average Loss  0.773862, Time  0.251716
2021-09-22 21:52:14.473358 : Epoch  3, Batch    278, Loss  0.767635, Average Loss  0.773838, Time  0.255769
2021-09-22 21:52:16.335205 : Epoch  3, Batch    279, Loss  0.757545, Average Loss  0.773800, Time  0.252116
2021-09-22 21:52:16.966745 : Epoch  3, Batch      9, Loss  0.878413, Average Loss  0.874010, Time  0.413149
2021-09-22 21:52:18.215785 : Epoch  3, Batch    280, Loss  0.772540, Average Loss  0.773749, Time  0.249784
2021-09-22 21:52:20.088069 : Epoch  3, Batch    281, Loss  0.771223, Average Loss  0.773706, Time  0.249402
2021-09-22 21:52:21.917829 : Epoch  3, Batch     10, Loss  0.869418, Average Loss  0.874017, Time  0.413143
2021-09-22 21:52:21.965148 : Epoch  3, Batch    282, Loss  0.776170, Average Loss  0.773788, Time  0.249674
2021-09-22 21:52:23.846116 : Epoch  3, Batch    283, Loss  0.774582, Average Loss  0.773797, Time  0.249562
2021-09-22 21:52:25.807202 : Epoch  3, Batch    284, Loss  0.777662, Average Loss  0.773788, Time  0.327044
2021-09-22 21:52:26.895037 : Epoch  3, Batch     11, Loss  0.871300, Average Loss  0.874054, Time  0.413405
2021-09-22 21:52:27.690754 : Epoch  3, Batch    285, Loss  0.770100, Average Loss  0.773714, Time  0.249611
2021-09-22 21:52:27.936927 : CheckPoint: Validation Loss  0.00032070, Best Loss  0.00031729
2021-09-22 21:52:29.565509 : Epoch  3, Batch    286, Loss  0.774427, Average Loss  0.773739, Time  0.250791
2021-09-22 21:52:29.858453 : Epoch  3, Batch    227, Loss  0.774490, Average Loss  0.775113, Time  0.255424
2021-09-22 21:52:31.452536 : Epoch  3, Batch    287, Loss  0.778011, Average Loss  0.773723, Time  0.266521
2021-09-22 21:52:31.773778 : Epoch  3, Batch    228, Loss  0.776198, Average Loss  0.775119, Time  0.256216
2021-09-22 21:52:31.856992 : Epoch  3, Batch     12, Loss  0.863149, Average Loss  0.874076, Time  0.413439
2021-09-22 21:52:33.331856 : Epoch  3, Batch    288, Loss  0.770994, Average Loss  0.773735, Time  0.249838
2021-09-22 21:52:33.685102 : Epoch  3, Batch    229, Loss  0.767749, Average Loss  0.775134, Time  0.257607
2021-09-22 21:52:35.208391 : Epoch  3, Batch    289, Loss  0.765510, Average Loss  0.773684, Time  0.252767
2021-09-22 21:52:35.580758 : Epoch  3, Batch    230, Loss  0.766614, Average Loss  0.775060, Time  0.255198
2021-09-22 21:52:36.869919 : Epoch  3, Batch     13, Loss  0.877424, Average Loss  0.874063, Time  0.453044
2021-09-22 21:52:37.083470 : Epoch  3, Batch    290, Loss  0.767497, Average Loss  0.773605, Time  0.251682
2021-09-22 21:52:37.483765 : Epoch  3, Batch    231, Loss  0.777129, Average Loss  0.775066, Time  0.256372
2021-09-22 21:52:38.942896 : Epoch  3, Batch    291, Loss  0.779284, Average Loss  0.773613, Time  0.249656
2021-09-22 21:52:39.384015 : Epoch  3, Batch    232, Loss  0.776518, Average Loss  0.775022, Time  0.254770
2021-09-22 21:52:40.818821 : Epoch  3, Batch    292, Loss  0.775404, Average Loss  0.773652, Time  0.253619
2021-09-22 21:52:41.283690 : Epoch  3, Batch    233, Loss  0.774799, Average Loss  0.774985, Time  0.254262
2021-09-22 21:52:41.817130 : Epoch  3, Batch     14, Loss  0.871733, Average Loss  0.874058, Time  0.413594
2021-09-22 21:52:42.709070 : Epoch  3, Batch    293, Loss  0.774226, Average Loss  0.773667, Time  0.250194
2021-09-22 21:52:43.188091 : Epoch  3, Batch    234, Loss  0.779923, Average Loss  0.775031, Time  0.253883
2021-09-22 21:52:44.592045 : Epoch  3, Batch    294, Loss  0.769843, Average Loss  0.773623, Time  0.251940
2021-09-22 21:52:45.091014 : Epoch  3, Batch    235, Loss  0.781062, Average Loss  0.775026, Time  0.264907
2021-09-22 21:52:46.478295 : Epoch  3, Batch    295, Loss  0.769628, Average Loss  0.773568, Time  0.249091
2021-09-22 21:52:46.783937 : Epoch  3, Batch     15, Loss  0.869641, Average Loss  0.874076, Time  0.423397
2021-09-22 21:52:46.986986 : Epoch  3, Batch    236, Loss  0.767759, Average Loss  0.774992, Time  0.254619
2021-09-22 21:52:48.367617 : Epoch  3, Batch    296, Loss  0.770234, Average Loss  0.773594, Time  0.251378
2021-09-22 21:52:48.888048 : Epoch  3, Batch    237, Loss  0.776224, Average Loss  0.775019, Time  0.254689
2021-09-22 21:52:50.819326 : Epoch  3, Batch    238, Loss  0.779136, Average Loss  0.774994, Time  0.255563
2021-09-22 21:52:51.732002 : Epoch  3, Batch     16, Loss  0.872466, Average Loss  0.873994, Time  0.413994
2021-09-22 21:52:52.505127 : Epoch  3, Batch    297, Loss  0.770176, Average Loss  0.773600, Time  0.250606
2021-09-22 21:52:52.770114 : Epoch  3, Batch    239, Loss  0.779611, Average Loss  0.774955, Time  0.260663
2021-09-22 21:52:54.366278 : Epoch  3, Batch    298, Loss  0.764809, Average Loss  0.773588, Time  0.249655
2021-09-22 21:52:54.692941 : Epoch  3, Batch    240, Loss  0.774662, Average Loss  0.774977, Time  0.254449
2021-09-22 21:52:56.241941 : Epoch  3, Batch    299, Loss  0.779571, Average Loss  0.773634, Time  0.249817
2021-09-22 21:52:56.602776 : Epoch  3, Batch    241, Loss  0.777877, Average Loss  0.775001, Time  0.253467
2021-09-22 21:52:56.675332 : Epoch  3, Batch     17, Loss  0.880446, Average Loss  0.874002, Time  0.413554
2021-09-22 21:52:58.108042 : Epoch  3, Batch    300, Loss  0.775303, Average Loss  0.773663, Time  0.251379
2021-09-22 21:52:58.494422 : Epoch  3, Batch    242, Loss  0.765371, Average Loss  0.774969, Time  0.253695
2021-09-22 21:52:59.987476 : Epoch  3, Batch    301, Loss  0.772160, Average Loss  0.773625, Time  0.250860
2021-09-22 21:53:00.408036 : Epoch  3, Batch    243, Loss  0.768345, Average Loss  0.774935, Time  0.253697
2021-09-22 21:53:01.631960 : Epoch  3, Batch     18, Loss  0.869370, Average Loss  0.873902, Time  0.413279
2021-09-22 21:53:01.858624 : Epoch  3, Batch    302, Loss  0.781513, Average Loss  0.773651, Time  0.251508
2021-09-22 21:53:02.315434 : Epoch  3, Batch    244, Loss  0.763254, Average Loss  0.774871, Time  0.253738
2021-09-22 21:53:03.731354 : Epoch  3, Batch    303, Loss  0.775639, Average Loss  0.773659, Time  0.250530
2021-09-22 21:53:04.223953 : Epoch  3, Batch    245, Loss  0.769386, Average Loss  0.774860, Time  0.253266
2021-09-22 21:53:05.607207 : Epoch  3, Batch    304, Loss  0.774181, Average Loss  0.773696, Time  0.252603
2021-09-22 21:53:06.116506 : Epoch  3, Batch    246, Loss  0.776240, Average Loss  0.774907, Time  0.252897
2021-09-22 21:53:06.604776 : Epoch  3, Batch     19, Loss  0.875553, Average Loss  0.873933, Time  0.413450
2021-09-22 21:53:07.482441 : Epoch  3, Batch    305, Loss  0.759979, Average Loss  0.773665, Time  0.250307
2021-09-22 21:53:08.015235 : Epoch  3, Batch    247, Loss  0.781579, Average Loss  0.774906, Time  0.253120
2021-09-22 21:53:09.353278 : Epoch  3, Batch    306, Loss  0.767077, Average Loss  0.773634, Time  0.252298
2021-09-22 21:53:09.912760 : Epoch  3, Batch    248, Loss  0.767434, Average Loss  0.774868, Time  0.255013
2021-09-22 21:53:11.226996 : Epoch  3, Batch    307, Loss  0.778198, Average Loss  0.773655, Time  0.249987
2021-09-22 21:53:11.561788 : Epoch  3, Batch     20, Loss  0.879919, Average Loss  0.873881, Time  0.413838
2021-09-22 21:53:11.830240 : Epoch  3, Batch    249, Loss  0.772474, Average Loss  0.774842, Time  0.253871
2021-09-22 21:53:13.093139 : Epoch  3, Batch    308, Loss  0.763285, Average Loss  0.773658, Time  0.254920
2021-09-22 21:53:13.746529 : Epoch  3, Batch    250, Loss  0.762860, Average Loss  0.774770, Time  0.253820
2021-09-22 21:53:14.950362 : Epoch  3, Batch    309, Loss  0.774119, Average Loss  0.773685, Time  0.250139
2021-09-22 21:53:15.664889 : Epoch  3, Batch    251, Loss  0.776815, Average Loss  0.774803, Time  0.253288
2021-09-22 21:53:16.514736 : Epoch  3, Batch     21, Loss  0.867182, Average Loss  0.873785, Time  0.415725
2021-09-22 21:53:16.829703 : Epoch  3, Batch    310, Loss  0.769883, Average Loss  0.773614, Time  0.250025
2021-09-22 21:53:17.570430 : Epoch  3, Batch    252, Loss  0.776268, Average Loss  0.774833, Time  0.260964
2021-09-22 21:53:18.720270 : Epoch  3, Batch    311, Loss  0.767256, Average Loss  0.773609, Time  0.249810
2021-09-22 21:53:19.478546 : Epoch  3, Batch    253, Loss  0.780546, Average Loss  0.774912, Time  0.253683
2021-09-22 21:53:20.604163 : Epoch  3, Batch    312, Loss  0.771817, Average Loss  0.773548, Time  0.249391
2021-09-22 21:53:21.391498 : Epoch  3, Batch    254, Loss  0.772346, Average Loss  0.774888, Time  0.253465
2021-09-22 21:53:21.519099 : Epoch  3, Batch     22, Loss  0.874451, Average Loss  0.873851, Time  0.456603
2021-09-22 21:53:22.488036 : Epoch  3, Batch    313, Loss  0.775266, Average Loss  0.773569, Time  0.249947
2021-09-22 21:53:23.283967 : Epoch  3, Batch    255, Loss  0.773564, Average Loss  0.774831, Time  0.253883
2021-09-22 21:53:24.361033 : Epoch  3, Batch    314, Loss  0.770042, Average Loss  0.773546, Time  0.254477
2021-09-22 21:53:25.182224 : Epoch  3, Batch    256, Loss  0.773483, Average Loss  0.774829, Time  0.255584
2021-09-22 21:53:26.237104 : Epoch  3, Batch    315, Loss  0.776445, Average Loss  0.773498, Time  0.251456
2021-09-22 21:53:26.473749 : Epoch  3, Batch     23, Loss  0.867065, Average Loss  0.873748, Time  0.413180
2021-09-22 21:53:27.094615 : Epoch  3, Batch    257, Loss  0.756872, Average Loss  0.774812, Time  0.253697
2021-09-22 21:53:28.096608 : Epoch  3, Batch    316, Loss  0.773345, Average Loss  0.773483, Time  0.249814
2021-09-22 21:53:29.000612 : Epoch  3, Batch    258, Loss  0.767632, Average Loss  0.774797, Time  0.255957
2021-09-22 21:53:29.968294 : Epoch  3, Batch    317, Loss  0.768010, Average Loss  0.773444, Time  0.249697
2021-09-22 21:53:30.929619 : Epoch  3, Batch    259, Loss  0.781718, Average Loss  0.774830, Time  0.255392
2021-09-22 21:53:31.438885 : Epoch  3, Batch     24, Loss  0.879248, Average Loss  0.873763, Time  0.413411
2021-09-22 21:53:31.851860 : Epoch  3, Batch    318, Loss  0.773927, Average Loss  0.773394, Time  0.250543
2021-09-22 21:53:32.819091 : Epoch  3, Batch    260, Loss  0.770904, Average Loss  0.774785, Time  0.253259
2021-09-22 21:53:33.727510 : Epoch  3, Batch    319, Loss  0.766191, Average Loss  0.773382, Time  0.249709
2021-09-22 21:53:34.708989 : Epoch  3, Batch    261, Loss  0.782529, Average Loss  0.774874, Time  0.253711
2021-09-22 21:53:35.603984 : Epoch  3, Batch    320, Loss  0.769134, Average Loss  0.773344, Time  0.253459
2021-09-22 21:53:36.392766 : Epoch  3, Batch     25, Loss  0.864936, Average Loss  0.873686, Time  0.413829
2021-09-22 21:53:36.603100 : Epoch  3, Batch    262, Loss  0.779602, Average Loss  0.774905, Time  0.254534
2021-09-22 21:53:37.513093 : Epoch  3, Batch    321, Loss  0.772870, Average Loss  0.773351, Time  0.252298
2021-09-22 21:53:38.510711 : Epoch  3, Batch    263, Loss  0.769448, Average Loss  0.774914, Time  0.254442
2021-09-22 21:53:39.396380 : Epoch  3, Batch    322, Loss  0.765825, Average Loss  0.773284, Time  0.253793
2021-09-22 21:53:40.426970 : Epoch  3, Batch    264, Loss  0.783823, Average Loss  0.775021, Time  0.253843
2021-09-22 21:53:41.357336 : Epoch  3, Batch    323, Loss  0.773683, Average Loss  0.773293, Time  0.251490
2021-09-22 21:53:41.380756 : Epoch  3, Batch     26, Loss  0.856494, Average Loss  0.873604, Time  0.413778
2021-09-22 21:53:42.354475 : Epoch  3, Batch    265, Loss  0.789030, Average Loss  0.775104, Time  0.258969
2021-09-22 21:53:43.251142 : Epoch  3, Batch    324, Loss  0.777561, Average Loss  0.773290, Time  0.251106
2021-09-22 21:53:44.266457 : Epoch  3, Batch    266, Loss  0.785788, Average Loss  0.775187, Time  0.261997
2021-09-22 21:53:45.127209 : Epoch  3, Batch    325, Loss  0.779571, Average Loss  0.773271, Time  0.250017
2021-09-22 21:53:46.173725 : Epoch  3, Batch    267, Loss  0.771324, Average Loss  0.775206, Time  0.253964
2021-09-22 21:53:46.393043 : Epoch  3, Batch     27, Loss  0.862122, Average Loss  0.873576, Time  0.413804
2021-09-22 21:53:47.001243 : Epoch  3, Batch    326, Loss  0.762765, Average Loss  0.773202, Time  0.252774
2021-09-22 21:53:48.077005 : Epoch  3, Batch    268, Loss  0.770800, Average Loss  0.775183, Time  0.257876
2021-09-22 21:53:49.989463 : Epoch  3, Batch    269, Loss  0.787562, Average Loss  0.775224, Time  0.253562
2021-09-22 21:53:51.356047 : Epoch  3, Batch     28, Loss  0.878069, Average Loss  0.873631, Time  0.414307
2021-09-22 21:53:51.887223 : Epoch  3, Batch    270, Loss  0.763648, Average Loss  0.775174, Time  0.254434
2021-09-22 21:53:53.770208 : Epoch  3, Batch    271, Loss  0.780467, Average Loss  0.775190, Time  0.253797
2021-09-22 21:53:55.651208 : Epoch  3, Batch    272, Loss  0.771758, Average Loss  0.775130, Time  0.255980
2021-09-22 21:53:56.349738 : Epoch  3, Batch     29, Loss  0.877319, Average Loss  0.873628, Time  0.414737
2021-09-22 21:53:57.628003 : Epoch  3, Batch    273, Loss  0.771485, Average Loss  0.775125, Time  0.328999
2021-09-22 21:53:59.525709 : Epoch  3, Batch    274, Loss  0.768525, Average Loss  0.775064, Time  0.253150
2021-09-22 21:54:01.364984 : Epoch  3, Batch     30, Loss  0.861179, Average Loss  0.873533, Time  0.414903
2021-09-22 21:54:01.419907 : Epoch  3, Batch    275, Loss  0.772870, Average Loss  0.774997, Time  0.256226
2021-09-22 21:54:03.311371 : Epoch  3, Batch    276, Loss  0.774559, Average Loss  0.774992, Time  0.253686
2021-09-22 21:54:05.213706 : Epoch  3, Batch    277, Loss  0.768435, Average Loss  0.774969, Time  0.256164
2021-09-22 21:54:06.422866 : Epoch  3, Batch     31, Loss  0.871134, Average Loss  0.873527, Time  0.459248
2021-09-22 21:54:07.108158 : Epoch  3, Batch    278, Loss  0.767364, Average Loss  0.774925, Time  0.254345
2021-09-22 21:54:09.081999 : Epoch  3, Batch    279, Loss  0.780222, Average Loss  0.774972, Time  0.329770
2021-09-22 21:54:10.986239 : Epoch  3, Batch    280, Loss  0.789433, Average Loss  0.775060, Time  0.255469
2021-09-22 21:54:11.453951 : Epoch  3, Batch     32, Loss  0.870076, Average Loss  0.873496, Time  0.415702
2021-09-22 21:54:12.946892 : Epoch  3, Batch    281, Loss  0.773193, Average Loss  0.775059, Time  0.253662
2021-09-22 21:54:14.843632 : Epoch  3, Batch    282, Loss  0.770648, Average Loss  0.775072, Time  0.254900
2021-09-22 21:54:16.515123 : Epoch  3, Batch     33, Loss  0.872599, Average Loss  0.873526, Time  0.416958
2021-09-22 21:54:16.730758 : Epoch  3, Batch    283, Loss  0.775254, Average Loss  0.775104, Time  0.253248
2021-09-22 21:54:18.618652 : Epoch  3, Batch    284, Loss  0.782722, Average Loss  0.775099, Time  0.252760
2021-09-22 21:54:20.586259 : Epoch  3, Batch    285, Loss  0.773722, Average Loss  0.775100, Time  0.331760
2021-09-22 21:54:21.569966 : Epoch  3, Batch     34, Loss  0.883932, Average Loss  0.873619, Time  0.419150
2021-09-22 21:54:22.488009 : Epoch  3, Batch    286, Loss  0.770617, Average Loss  0.775052, Time  0.255091
2021-09-22 21:54:24.383044 : Epoch  3, Batch    287, Loss  0.769126, Average Loss  0.775040, Time  0.253974
2021-09-22 21:54:26.288351 : Epoch  3, Batch    288, Loss  0.768297, Average Loss  0.774983, Time  0.254378
2021-09-22 21:54:26.633089 : Epoch  3, Batch     35, Loss  0.865663, Average Loss  0.873566, Time  0.416357
2021-09-22 21:54:28.190380 : Epoch  3, Batch    289, Loss  0.781894, Average Loss  0.775012, Time  0.254195
2021-09-22 21:54:30.086812 : Epoch  3, Batch    290, Loss  0.783127, Average Loss  0.775057, Time  0.252837
2021-09-22 21:54:31.667142 : Epoch  3, Batch     36, Loss  0.878571, Average Loss  0.873664, Time  0.418403
2021-09-22 21:54:31.973774 : Epoch  3, Batch    291, Loss  0.779790, Average Loss  0.775123, Time  0.253180
2021-09-22 21:54:33.918367 : Epoch  3, Batch    292, Loss  0.777792, Average Loss  0.775107, Time  0.309958
2021-09-22 21:54:35.800290 : Epoch  3, Batch    293, Loss  0.777496, Average Loss  0.775082, Time  0.254804
2021-09-22 21:54:36.670887 : Epoch  3, Batch     37, Loss  0.866388, Average Loss  0.873577, Time  0.414536
2021-09-22 21:54:37.701033 : Epoch  3, Batch    294, Loss  0.772417, Average Loss  0.775090, Time  0.267117
2021-09-22 21:54:39.585746 : Epoch  3, Batch    295, Loss  0.766846, Average Loss  0.775042, Time  0.253993
2021-09-22 21:54:39.756052 : Epoch  3, Batch    296, Loss  0.719151, Average Loss  0.774756, Time  0.119642
2021-09-22 21:54:41.635898 : Epoch  3, Batch     38, Loss  0.878928, Average Loss  0.873609, Time  0.413548
2021-09-22 21:54:41.661069 : Epoch  3, Batch    297, Loss  0.783872, Average Loss  0.774763, Time  0.254077
2021-09-22 21:54:45.773165 : Epoch  3, Batch    298, Loss  0.787561, Average Loss  0.774861, Time  0.253828
2021-09-22 21:54:46.596867 : Epoch  3, Batch     39, Loss  0.875221, Average Loss  0.873612, Time  0.413234
2021-09-22 21:54:47.669739 : Epoch  3, Batch    299, Loss  0.787933, Average Loss  0.774955, Time  0.255364
2021-09-22 21:54:49.582201 : Epoch  3, Batch    300, Loss  0.788909, Average Loss  0.775034, Time  0.256455
2021-09-22 21:54:51.475773 : Epoch  3, Batch    301, Loss  0.779867, Average Loss  0.775052, Time  0.253467
2021-09-22 21:54:51.609034 : Epoch  3, Batch     40, Loss  0.855893, Average Loss  0.873548, Time  0.452271
2021-09-22 21:54:53.451813 : Epoch  3, Batch    302, Loss  0.799624, Average Loss  0.775157, Time  0.328124
2021-09-22 21:54:55.348434 : Epoch  3, Batch    303, Loss  0.788220, Average Loss  0.775275, Time  0.257877
2021-09-22 21:54:56.566252 : Epoch  3, Batch     41, Loss  0.881507, Average Loss  0.873529, Time  0.414845
2021-09-22 21:54:57.223434 : CheckPoint: Validation Loss  0.00032706, Best Loss  0.00031612
2021-09-22 21:54:57.287002 : Epoch  3, Batch    304, Loss  0.787737, Average Loss  0.775322, Time  0.282947
2021-09-22 21:54:59.314103 : Epoch  3, Batch    327, Loss  0.766277, Average Loss  0.773113, Time  0.462147
2021-09-22 21:54:59.372280 : Epoch  3, Batch    305, Loss  0.780720, Average Loss  0.775303, Time  0.435279
2021-09-22 21:55:01.423664 : Epoch  3, Batch    328, Loss  0.776373, Average Loss  0.773202, Time  0.480692
2021-09-22 21:55:01.466267 : Epoch  3, Batch    306, Loss  0.780582, Average Loss  0.775300, Time  0.452581
2021-09-22 21:55:01.531929 : Epoch  3, Batch     42, Loss  0.878373, Average Loss  0.873509, Time  0.413706
2021-09-22 21:55:03.551895 : Epoch  3, Batch    329, Loss  0.774584, Average Loss  0.773201, Time  0.497159
2021-09-22 21:55:03.588370 : Epoch  3, Batch    307, Loss  0.786650, Average Loss  0.775347, Time  0.465612
2021-09-22 21:55:05.634215 : Epoch  3, Batch    330, Loss  0.759634, Average Loss  0.773129, Time  0.464505
2021-09-22 21:55:05.687867 : Epoch  3, Batch    308, Loss  0.783641, Average Loss  0.775348, Time  0.432643
2021-09-22 21:55:06.526242 : Epoch  3, Batch     43, Loss  0.885391, Average Loss  0.873515, Time  0.413751
2021-09-22 21:55:07.728836 : Epoch  3, Batch    331, Loss  0.760845, Average Loss  0.773046, Time  0.480852
2021-09-22 21:55:07.775161 : Epoch  3, Batch    309, Loss  0.776725, Average Loss  0.775344, Time  0.455110
2021-09-22 21:55:09.838940 : Epoch  3, Batch    332, Loss  0.766992, Average Loss  0.773018, Time  0.499466
2021-09-22 21:55:09.867535 : Epoch  3, Batch    310, Loss  0.787093, Average Loss  0.775374, Time  0.461842
2021-09-22 21:55:11.494444 : Epoch  3, Batch     44, Loss  0.866681, Average Loss  0.873467, Time  0.413926
2021-09-22 21:55:11.959239 : Epoch  3, Batch    333, Loss  0.765123, Average Loss  0.772928, Time  0.501041
2021-09-22 21:55:11.980504 : Epoch  3, Batch    311, Loss  0.779424, Average Loss  0.775409, Time  0.479947
2021-09-22 21:55:14.071334 : Epoch  3, Batch    334, Loss  0.782755, Average Loss  0.772903, Time  0.504476
2021-09-22 21:55:14.104786 : Epoch  3, Batch    312, Loss  0.776477, Average Loss  0.775407, Time  0.483029
2021-09-22 21:55:16.228560 : Epoch  3, Batch    335, Loss  0.785042, Average Loss  0.772956, Time  0.512667
2021-09-22 21:55:16.254871 : Epoch  3, Batch    313, Loss  0.781487, Average Loss  0.775405, Time  0.501774
2021-09-22 21:55:18.351134 : Epoch  3, Batch    336, Loss  0.781090, Average Loss  0.773034, Time  0.505957
2021-09-22 21:55:18.390303 : Epoch  3, Batch    314, Loss  0.783021, Average Loss  0.775418, Time  0.488421
2021-09-22 21:55:20.463492 : Epoch  3, Batch    337, Loss  0.779234, Average Loss  0.773069, Time  0.503712
2021-09-22 21:55:20.495018 : Epoch  3, Batch    315, Loss  0.792551, Average Loss  0.775503, Time  0.477712
2021-09-22 21:55:22.597293 : Epoch  3, Batch    338, Loss  0.773524, Average Loss  0.773044, Time  0.506535
2021-09-22 21:55:22.622488 : Epoch  3, Batch    316, Loss  0.788917, Average Loss  0.775582, Time  0.485353
2021-09-22 21:55:24.707551 : Epoch  3, Batch    339, Loss  0.769110, Average Loss  0.773003, Time  0.501355
2021-09-22 21:55:24.737900 : Epoch  3, Batch    317, Loss  0.791058, Average Loss  0.775656, Time  0.481595
2021-09-22 21:55:26.825309 : Epoch  3, Batch    340, Loss  0.774457, Average Loss  0.772992, Time  0.497228
2021-09-22 21:55:26.852750 : Epoch  3, Batch    318, Loss  0.781589, Average Loss  0.775670, Time  0.467079
2021-09-22 21:55:28.958707 : Epoch  3, Batch    341, Loss  0.779241, Average Loss  0.773015, Time  0.509430
2021-09-22 21:55:28.982906 : Epoch  3, Batch    319, Loss  0.785936, Average Loss  0.775714, Time  0.486149
2021-09-22 21:55:31.079277 : Epoch  3, Batch    342, Loss  0.765736, Average Loss  0.772986, Time  0.503757
2021-09-22 21:55:31.115520 : Epoch  3, Batch    320, Loss  0.777049, Average Loss  0.775693, Time  0.482722
2021-09-22 21:55:33.239480 : Epoch  3, Batch    343, Loss  0.764759, Average Loss  0.772940, Time  0.512085
2021-09-22 21:55:33.265137 : Epoch  3, Batch    321, Loss  0.777860, Average Loss  0.775680, Time  0.498808
2021-09-22 21:55:35.354253 : Epoch  3, Batch    344, Loss  0.787897, Average Loss  0.773015, Time  0.499591
2021-09-22 21:55:35.379147 : Epoch  3, Batch    322, Loss  0.775605, Average Loss  0.775655, Time  0.468834
2021-09-22 21:55:37.471855 : Epoch  3, Batch    345, Loss  0.781737, Average Loss  0.773039, Time  0.500046
2021-09-22 21:55:37.500573 : Epoch  3, Batch    323, Loss  0.771647, Average Loss  0.775668, Time  0.479212
2021-09-22 21:55:39.596055 : Epoch  3, Batch    346, Loss  0.783513, Average Loss  0.773102, Time  0.501330
2021-09-22 21:55:39.629538 : Epoch  3, Batch    324, Loss  0.766676, Average Loss  0.775680, Time  0.480420
2021-09-22 21:55:41.760930 : Epoch  3, Batch    347, Loss  0.776894, Average Loss  0.773138, Time  0.513494
2021-09-22 21:55:41.789203 : Epoch  3, Batch    325, Loss  0.779367, Average Loss  0.775731, Time  0.497161
2021-09-22 21:55:43.877148 : Epoch  3, Batch    348, Loss  0.771872, Average Loss  0.773106, Time  0.493188
2021-09-22 21:55:43.908923 : Epoch  3, Batch    326, Loss  0.774216, Average Loss  0.775750, Time  0.463427
2021-09-22 21:55:45.754563 : Epoch  3, Batch    349, Loss  0.778752, Average Loss  0.773120, Time  0.250741
2021-09-22 21:55:47.644471 : Epoch  3, Batch    350, Loss  0.765557, Average Loss  0.773068, Time  0.257097
2021-09-22 21:55:49.601405 : Epoch  3, Batch    351, Loss  0.768037, Average Loss  0.773000, Time  0.325590
2021-09-22 21:55:51.472240 : Epoch  3, Batch    352, Loss  0.768826, Average Loss  0.773018, Time  0.250254
2021-09-22 21:55:53.345355 : Epoch  3, Batch    353, Loss  0.768987, Average Loss  0.773015, Time  0.249494
2021-09-22 21:55:55.221742 : Epoch  3, Batch    354, Loss  0.778025, Average Loss  0.773032, Time  0.249063
2021-09-22 21:55:57.094356 : Epoch  3, Batch    355, Loss  0.786545, Average Loss  0.773096, Time  0.255140
2021-09-22 21:55:58.973557 : Epoch  3, Batch    356, Loss  0.781916, Average Loss  0.773129, Time  0.254733
2021-09-22 21:56:00.864193 : Epoch  3, Batch    357, Loss  0.766707, Average Loss  0.773098, Time  0.249515
2021-09-22 21:56:02.755848 : Epoch  3, Batch    358, Loss  0.758453, Average Loss  0.773057, Time  0.249950
2021-09-22 21:56:04.700931 : Epoch  3, Batch    359, Loss  0.768725, Average Loss  0.773001, Time  0.326231
2021-09-22 21:56:06.570650 : Epoch  3, Batch    360, Loss  0.778356, Average Loss  0.773003, Time  0.248524
2021-09-22 21:56:08.442919 : Epoch  3, Batch    361, Loss  0.770084, Average Loss  0.772970, Time  0.249258
2021-09-22 21:56:10.324076 : Epoch  3, Batch    362, Loss  0.765157, Average Loss  0.772882, Time  0.250509
2021-09-22 21:56:12.204227 : Epoch  3, Batch    363, Loss  0.753820, Average Loss  0.772724, Time  0.249571
2021-09-22 21:56:14.068274 : Epoch  3, Batch    364, Loss  0.765226, Average Loss  0.772700, Time  0.249991
2021-09-22 21:56:15.948992 : Epoch  3, Batch    365, Loss  0.777403, Average Loss  0.772702, Time  0.254101
2021-09-22 21:56:17.900012 : Epoch  3, Batch    366, Loss  0.779634, Average Loss  0.772715, Time  0.321534
2021-09-22 21:56:19.791050 : Epoch  3, Batch    367, Loss  0.778444, Average Loss  0.772715, Time  0.261845
2021-09-22 21:56:21.666441 : Epoch  3, Batch    368, Loss  0.780857, Average Loss  0.772779, Time  0.253082
2021-09-22 21:56:23.568035 : Epoch  3, Batch    369, Loss  0.777073, Average Loss  0.772792, Time  0.249970
2021-09-22 21:56:25.450680 : Epoch  3, Batch    370, Loss  0.773206, Average Loss  0.772798, Time  0.249579
2021-09-22 21:56:27.316769 : Epoch  3, Batch    371, Loss  0.761884, Average Loss  0.772744, Time  0.251546
2021-09-22 21:56:29.198687 : Epoch  3, Batch    372, Loss  0.769180, Average Loss  0.772780, Time  0.257026
2021-09-22 21:56:31.060073 : Epoch  3, Batch    373, Loss  0.770836, Average Loss  0.772814, Time  0.249167
2021-09-22 21:56:33.010473 : Epoch  3, Batch    374, Loss  0.770179, Average Loss  0.772808, Time  0.326947
2021-09-22 21:56:34.905921 : Epoch  3, Batch    375, Loss  0.772111, Average Loss  0.772728, Time  0.250236
2021-09-22 21:56:36.782683 : Epoch  3, Batch    376, Loss  0.782220, Average Loss  0.772810, Time  0.252176
2021-09-22 21:56:38.657354 : Epoch  3, Batch    377, Loss  0.770784, Average Loss  0.772784, Time  0.250902
2021-09-22 21:56:40.527322 : Epoch  3, Batch    378, Loss  0.766554, Average Loss  0.772737, Time  0.253289
2021-09-22 21:56:42.393529 : Epoch  3, Batch    379, Loss  0.769539, Average Loss  0.772713, Time  0.250925
2021-09-22 21:56:44.271299 : Epoch  3, Batch    380, Loss  0.781609, Average Loss  0.772755, Time  0.250128
2021-09-22 21:56:46.147133 : Epoch  3, Batch    381, Loss  0.776677, Average Loss  0.772766, Time  0.250115
2021-09-22 21:56:48.089834 : Epoch  3, Batch    382, Loss  0.774524, Average Loss  0.772780, Time  0.325931
2021-09-22 21:56:49.960649 : Epoch  3, Batch    383, Loss  0.775986, Average Loss  0.772730, Time  0.252242
2021-09-22 21:56:51.825274 : Epoch  3, Batch    384, Loss  0.772038, Average Loss  0.772686, Time  0.249591
2021-09-22 21:56:53.691417 : Epoch  3, Batch    385, Loss  0.769812, Average Loss  0.772652, Time  0.249738
2021-09-22 21:56:55.193542 : CheckPoint: Validation Loss  0.00032603, Best Loss  0.00031729
2021-09-22 21:56:55.573609 : Epoch  3, Batch    386, Loss  0.775536, Average Loss  0.772667, Time  0.249989
2021-09-22 21:56:57.094705 : Epoch  3, Batch    327, Loss  0.765736, Average Loss  0.775632, Time  0.253937
2021-09-22 21:56:57.441248 : Epoch  3, Batch    387, Loss  0.776205, Average Loss  0.772651, Time  0.249530
2021-09-22 21:56:58.990995 : Epoch  3, Batch    328, Loss  0.774077, Average Loss  0.775621, Time  0.256640
2021-09-22 21:56:59.317504 : Epoch  3, Batch    388, Loss  0.777485, Average Loss  0.772637, Time  0.250863
2021-09-22 21:57:00.891535 : Epoch  3, Batch    329, Loss  0.788987, Average Loss  0.775688, Time  0.253273
2021-09-22 21:57:01.194748 : Epoch  3, Batch    389, Loss  0.781071, Average Loss  0.772724, Time  0.251526
2021-09-22 21:57:02.785029 : Epoch  3, Batch    330, Loss  0.788576, Average Loss  0.775725, Time  0.253383
2021-09-22 21:57:03.078227 : Epoch  3, Batch    390, Loss  0.785096, Average Loss  0.772800, Time  0.251382
2021-09-22 21:57:04.687083 : Epoch  3, Batch    331, Loss  0.776456, Average Loss  0.775730, Time  0.253329
2021-09-22 21:57:04.957673 : Epoch  3, Batch    391, Loss  0.769806, Average Loss  0.772782, Time  0.250818
2021-09-22 21:57:06.575475 : Epoch  3, Batch    332, Loss  0.781228, Average Loss  0.775710, Time  0.254065
2021-09-22 21:57:06.843253 : Epoch  3, Batch    392, Loss  0.783729, Average Loss  0.772792, Time  0.250941
2021-09-22 21:57:08.486077 : Epoch  3, Batch    333, Loss  0.777996, Average Loss  0.775853, Time  0.253269
2021-09-22 21:57:08.737870 : Epoch  3, Batch    393, Loss  0.765999, Average Loss  0.772752, Time  0.252208
2021-09-22 21:57:10.404658 : Epoch  3, Batch    334, Loss  0.767161, Average Loss  0.775796, Time  0.255170
2021-09-22 21:57:10.641112 : Epoch  3, Batch    394, Loss  0.775427, Average Loss  0.772780, Time  0.259323
2021-09-22 21:57:12.315808 : Epoch  3, Batch    335, Loss  0.769840, Average Loss  0.775794, Time  0.257169
2021-09-22 21:57:12.540216 : Epoch  3, Batch    395, Loss  0.776803, Average Loss  0.772805, Time  0.260074
2021-09-22 21:57:14.283382 : Epoch  3, Batch    336, Loss  0.783055, Average Loss  0.775804, Time  0.312365
2021-09-22 21:57:14.454739 : Epoch  3, Batch    396, Loss  0.768012, Average Loss  0.772803, Time  0.284262
2021-09-22 21:57:16.188139 : Epoch  3, Batch    337, Loss  0.778052, Average Loss  0.775785, Time  0.254629
2021-09-22 21:57:18.098917 : Epoch  3, Batch    338, Loss  0.773541, Average Loss  0.775786, Time  0.255137
2021-09-22 21:57:18.748327 : Epoch  3, Batch    397, Loss  0.774016, Average Loss  0.772845, Time  0.250872
2021-09-22 21:57:20.003982 : Epoch  3, Batch    339, Loss  0.773076, Average Loss  0.775761, Time  0.254226
2021-09-22 21:57:20.624070 : Epoch  3, Batch    398, Loss  0.768961, Average Loss  0.772797, Time  0.250311
2021-09-22 21:57:21.910060 : Epoch  3, Batch    340, Loss  0.774591, Average Loss  0.775746, Time  0.253400
2021-09-22 21:57:22.510708 : Epoch  3, Batch    399, Loss  0.774005, Average Loss  0.772836, Time  0.250109
2021-09-22 21:57:23.806130 : Epoch  3, Batch    341, Loss  0.774816, Average Loss  0.775782, Time  0.253152
2021-09-22 21:57:24.391163 : Epoch  3, Batch    400, Loss  0.764300, Average Loss  0.772735, Time  0.251129
2021-09-22 21:57:25.699364 : Epoch  3, Batch    342, Loss  0.765784, Average Loss  0.775660, Time  0.253425
2021-09-22 21:57:26.274764 : Epoch  3, Batch    401, Loss  0.771560, Average Loss  0.772728, Time  0.249812
2021-09-22 21:57:27.597899 : Epoch  3, Batch    343, Loss  0.780473, Average Loss  0.775687, Time  0.252512
2021-09-22 21:57:28.155371 : Epoch  3, Batch    402, Loss  0.773108, Average Loss  0.772713, Time  0.249869
2021-09-22 21:57:29.497153 : Epoch  3, Batch    344, Loss  0.769825, Average Loss  0.775667, Time  0.257184
2021-09-22 21:57:30.044008 : Epoch  3, Batch    403, Loss  0.766319, Average Loss  0.772665, Time  0.261503
2021-09-22 21:57:31.405514 : Epoch  3, Batch    345, Loss  0.769364, Average Loss  0.775650, Time  0.264571
2021-09-22 21:57:31.922284 : Epoch  3, Batch    404, Loss  0.773063, Average Loss  0.772700, Time  0.252841
2021-09-22 21:57:33.308821 : Epoch  3, Batch    346, Loss  0.783786, Average Loss  0.775662, Time  0.252975
2021-09-22 21:57:33.804892 : Epoch  3, Batch    405, Loss  0.770356, Average Loss  0.772662, Time  0.251150
2021-09-22 21:57:35.208744 : Epoch  3, Batch    347, Loss  0.790881, Average Loss  0.775737, Time  0.264246
2021-09-22 21:57:35.675837 : Epoch  3, Batch    406, Loss  0.776650, Average Loss  0.772683, Time  0.250224
2021-09-22 21:57:37.112301 : Epoch  3, Batch    348, Loss  0.772566, Average Loss  0.775702, Time  0.254421
2021-09-22 21:57:37.553672 : Epoch  3, Batch    407, Loss  0.770515, Average Loss  0.772731, Time  0.249400
2021-09-22 21:57:39.022262 : Epoch  3, Batch    349, Loss  0.787262, Average Loss  0.775717, Time  0.254641
2021-09-22 21:57:39.440894 : Epoch  3, Batch    408, Loss  0.772634, Average Loss  0.772749, Time  0.249738
2021-09-22 21:57:40.926731 : Epoch  3, Batch    350, Loss  0.770912, Average Loss  0.775655, Time  0.252792
2021-09-22 21:57:41.314759 : Epoch  3, Batch    409, Loss  0.772760, Average Loss  0.772773, Time  0.257109
2021-09-22 21:57:42.838867 : Epoch  3, Batch    351, Loss  0.764272, Average Loss  0.775597, Time  0.255406
2021-09-22 21:57:43.182860 : Epoch  3, Batch    410, Loss  0.773514, Average Loss  0.772839, Time  0.251679
2021-09-22 21:57:44.733443 : Epoch  3, Batch    352, Loss  0.771509, Average Loss  0.775617, Time  0.254685
2021-09-22 21:57:45.051348 : Epoch  3, Batch    411, Loss  0.767497, Average Loss  0.772795, Time  0.251117
2021-09-22 21:57:46.637458 : Epoch  3, Batch    353, Loss  0.769911, Average Loss  0.775561, Time  0.253478
2021-09-22 21:57:46.924114 : Epoch  3, Batch    412, Loss  0.789063, Average Loss  0.772872, Time  0.250005
2021-09-22 21:57:48.535423 : Epoch  3, Batch    354, Loss  0.762375, Average Loss  0.775497, Time  0.258571
2021-09-22 21:57:48.796433 : Epoch  3, Batch    413, Loss  0.775717, Average Loss  0.772857, Time  0.250369
2021-09-22 21:57:50.425026 : Epoch  3, Batch    355, Loss  0.775477, Average Loss  0.775529, Time  0.252785
2021-09-22 21:57:50.657816 : Epoch  3, Batch    414, Loss  0.781314, Average Loss  0.772879, Time  0.257944
2021-09-22 21:57:52.352843 : Epoch  3, Batch    356, Loss  0.780439, Average Loss  0.775572, Time  0.288591
2021-09-22 21:57:52.541024 : Epoch  3, Batch    415, Loss  0.781642, Average Loss  0.772901, Time  0.273777
2021-09-22 21:57:54.379077 : Epoch  3, Batch    357, Loss  0.787830, Average Loss  0.775673, Time  0.383070
2021-09-22 21:57:54.501849 : Epoch  3, Batch    416, Loss  0.766975, Average Loss  0.772889, Time  0.345302
2021-09-22 21:57:56.461428 : Epoch  3, Batch    358, Loss  0.773349, Average Loss  0.775712, Time  0.450623
2021-09-22 21:57:56.531683 : Epoch  3, Batch    417, Loss  0.769951, Average Loss  0.772823, Time  0.420063
2021-09-22 21:57:58.612132 : Epoch  3, Batch    359, Loss  0.773005, Average Loss  0.775734, Time  0.505032
2021-09-22 21:57:58.638063 : Epoch  3, Batch    418, Loss  0.776336, Average Loss  0.772860, Time  0.477567
2021-09-22 21:58:00.761829 : Epoch  3, Batch    360, Loss  0.769394, Average Loss  0.775767, Time  0.519586
2021-09-22 21:58:00.799906 : Epoch  3, Batch    419, Loss  0.765095, Average Loss  0.772814, Time  0.504688
2021-09-22 21:58:02.922736 : Epoch  3, Batch    361, Loss  0.778307, Average Loss  0.775817, Time  0.508521
2021-09-22 21:58:02.951904 : Epoch  3, Batch    420, Loss  0.772456, Average Loss  0.772770, Time  0.484648
2021-09-22 21:58:05.084574 : Epoch  3, Batch    421, Loss  0.791169, Average Loss  0.772848, Time  0.512717
2021-09-22 21:58:05.117400 : Epoch  3, Batch    362, Loss  0.770712, Average Loss  0.775804, Time  0.527697
2021-09-22 21:58:07.195904 : Epoch  3, Batch    422, Loss  0.769323, Average Loss  0.772838, Time  0.492895
2021-09-22 21:58:07.231363 : Epoch  3, Batch    363, Loss  0.773569, Average Loss  0.775772, Time  0.464816
2021-09-22 21:58:09.305984 : Epoch  3, Batch    423, Loss  0.775512, Average Loss  0.772845, Time  0.485695
2021-09-22 21:58:09.344937 : Epoch  3, Batch    364, Loss  0.768054, Average Loss  0.775802, Time  0.458758
2021-09-22 21:58:11.422883 : Epoch  3, Batch    424, Loss  0.780468, Average Loss  0.772890, Time  0.493634
2021-09-22 21:58:11.453641 : Epoch  3, Batch    365, Loss  0.775346, Average Loss  0.775832, Time  0.461659
2021-09-22 21:58:13.528565 : Epoch  3, Batch    425, Loss  0.787934, Average Loss  0.773019, Time  0.493263
2021-09-22 21:58:13.559672 : Epoch  3, Batch    366, Loss  0.778054, Average Loss  0.775839, Time  0.468035
2021-09-22 21:58:15.466518 : Epoch  3, Batch    367, Loss  0.763643, Average Loss  0.775745, Time  0.254887
2021-09-22 21:58:17.459918 : Epoch  3, Batch    368, Loss  0.769804, Average Loss  0.775738, Time  0.349815
2021-09-22 21:58:17.605713 : Epoch  3, Batch    426, Loss  0.787386, Average Loss  0.773193, Time  0.312302
2021-09-22 21:58:19.374233 : Epoch  3, Batch    369, Loss  0.777540, Average Loss  0.775780, Time  0.262011
2021-09-22 21:58:21.350334 : Epoch  3, Batch    370, Loss  0.780248, Average Loss  0.775748, Time  0.328728
2021-09-22 21:58:23.233743 : Epoch  3, Batch    371, Loss  0.781736, Average Loss  0.775795, Time  0.255092
2021-09-22 21:58:25.123244 : Epoch  3, Batch    372, Loss  0.774563, Average Loss  0.775792, Time  0.252938
2021-09-22 21:58:27.026321 : Epoch  3, Batch    373, Loss  0.776714, Average Loss  0.775762, Time  0.255952
2021-09-22 21:58:28.921082 : Epoch  3, Batch    374, Loss  0.777039, Average Loss  0.775759, Time  0.253226
2021-09-22 21:58:30.814843 : Epoch  3, Batch    375, Loss  0.776206, Average Loss  0.775760, Time  0.255704
2021-09-22 21:58:32.774240 : Epoch  3, Batch    376, Loss  0.786598, Average Loss  0.775782, Time  0.326054
2021-09-22 21:58:34.662112 : Epoch  3, Batch    377, Loss  0.759990, Average Loss  0.775672, Time  0.257990
2021-09-22 21:58:36.550682 : Epoch  3, Batch    378, Loss  0.771690, Average Loss  0.775612, Time  0.256771
2021-09-22 21:58:38.433240 : Epoch  3, Batch    379, Loss  0.780235, Average Loss  0.775593, Time  0.254840
2021-09-22 21:58:40.315674 : Epoch  3, Batch    380, Loss  0.774463, Average Loss  0.775596, Time  0.257409
2021-09-22 21:58:42.209452 : Epoch  3, Batch    381, Loss  0.787853, Average Loss  0.775678, Time  0.255975
2021-09-22 21:58:44.099011 : Epoch  3, Batch    382, Loss  0.776418, Average Loss  0.775717, Time  0.252956
2021-09-22 21:58:46.066212 : Epoch  3, Batch    383, Loss  0.764067, Average Loss  0.775664, Time  0.326352
2021-09-22 21:58:47.965580 : Epoch  3, Batch    384, Loss  0.783868, Average Loss  0.775722, Time  0.252831
2021-09-22 21:58:49.855016 : Epoch  3, Batch    385, Loss  0.772687, Average Loss  0.775677, Time  0.253283
2021-09-22 21:58:51.745894 : Epoch  3, Batch    386, Loss  0.771079, Average Loss  0.775733, Time  0.253046
2021-09-22 21:58:53.644347 : Epoch  3, Batch    387, Loss  0.788452, Average Loss  0.775829, Time  0.257298
2021-09-22 21:58:55.538788 : Epoch  3, Batch    388, Loss  0.779962, Average Loss  0.775860, Time  0.253185
2021-09-22 21:58:57.498601 : Epoch  3, Batch    389, Loss  0.785887, Average Loss  0.775938, Time  0.329064
2021-09-22 21:58:59.392349 : Epoch  3, Batch    390, Loss  0.778143, Average Loss  0.775972, Time  0.256910
2021-09-22 21:59:01.291334 : Epoch  3, Batch    391, Loss  0.774553, Average Loss  0.775938, Time  0.252717
2021-09-22 21:59:03.179600 : Epoch  3, Batch    392, Loss  0.777454, Average Loss  0.775873, Time  0.253442
2021-09-22 21:59:05.074848 : Epoch  3, Batch    393, Loss  0.762883, Average Loss  0.775830, Time  0.253175
2021-09-22 21:59:06.975852 : Epoch  3, Batch    394, Loss  0.773420, Average Loss  0.775890, Time  0.253788
2021-09-22 21:59:08.524730 : CheckPoint: Validation Loss  0.00015381, Best Loss  0.00014923
2021-09-22 21:59:08.949894 : Epoch  3, Batch    395, Loss  0.773291, Average Loss  0.775883, Time  0.327820
2021-09-22 21:59:10.832213 : Epoch  3, Batch    396, Loss  0.770706, Average Loss  0.775799, Time  0.253778
2021-09-22 21:59:13.470053 : Epoch  3, Batch     45, Loss  0.877964, Average Loss  0.873421, Time  0.414144
2021-09-22 21:59:14.909939 : Epoch  3, Batch    397, Loss  0.769789, Average Loss  0.775704, Time  0.255628
2021-09-22 21:59:16.800683 : Epoch  3, Batch    398, Loss  0.766550, Average Loss  0.775680, Time  0.254079
2021-09-22 21:59:18.431731 : Epoch  3, Batch     46, Loss  0.870073, Average Loss  0.873398, Time  0.413116
2021-09-22 21:59:18.768455 : Epoch  3, Batch    399, Loss  0.777131, Average Loss  0.775704, Time  0.328762
2021-09-22 21:59:20.660738 : Epoch  3, Batch    400, Loss  0.776108, Average Loss  0.775698, Time  0.254665
2021-09-22 21:59:22.561222 : Epoch  3, Batch    401, Loss  0.782015, Average Loss  0.775762, Time  0.254120
2021-09-22 21:59:23.398953 : Epoch  3, Batch     47, Loss  0.846992, Average Loss  0.873350, Time  0.413114
2021-09-22 21:59:24.461196 : Epoch  3, Batch    402, Loss  0.779892, Average Loss  0.775817, Time  0.253774
2021-09-22 21:59:26.359543 : Epoch  3, Batch    403, Loss  0.777493, Average Loss  0.775807, Time  0.252757
2021-09-22 21:59:27.466661 : CheckPoint: Validation Loss  0.00031666, Best Loss  0.00031612
2021-09-22 21:59:28.242822 : Epoch  3, Batch    404, Loss  0.771898, Average Loss  0.775744, Time  0.253512
2021-09-22 21:59:28.364789 : Epoch  3, Batch     48, Loss  0.854452, Average Loss  0.873194, Time  0.412978
2021-09-22 21:59:29.348677 : Epoch  3, Batch    427, Loss  0.773494, Average Loss  0.773124, Time  0.251566
2021-09-22 21:59:30.135957 : Epoch  3, Batch    405, Loss  0.778093, Average Loss  0.775798, Time  0.253985
2021-09-22 21:59:31.199792 : Epoch  3, Batch    428, Loss  0.775724, Average Loss  0.773113, Time  0.250762
2021-09-22 21:59:32.029442 : Epoch  3, Batch    406, Loss  0.775170, Average Loss  0.775814, Time  0.254203
2021-09-22 21:59:33.059848 : Epoch  3, Batch    429, Loss  0.765812, Average Loss  0.773115, Time  0.249648
2021-09-22 21:59:33.365765 : Epoch  3, Batch     49, Loss  0.873531, Average Loss  0.873260, Time  0.459205
2021-09-22 21:59:33.924529 : Epoch  3, Batch    407, Loss  0.767938, Average Loss  0.775840, Time  0.255507
2021-09-22 21:59:34.920645 : Epoch  3, Batch    430, Loss  0.777011, Average Loss  0.773120, Time  0.250343
2021-09-22 21:59:35.819822 : Epoch  3, Batch    408, Loss  0.774261, Average Loss  0.775773, Time  0.253858
2021-09-22 21:59:36.790523 : Epoch  3, Batch    431, Loss  0.777889, Average Loss  0.773116, Time  0.249764
2021-09-22 21:59:37.708335 : Epoch  3, Batch    409, Loss  0.771283, Average Loss  0.775812, Time  0.254272
2021-09-22 21:59:38.302471 : Epoch  3, Batch     50, Loss  0.883322, Average Loss  0.873284, Time  0.413188
2021-09-22 21:59:38.651504 : Epoch  3, Batch    432, Loss  0.765928, Average Loss  0.773049, Time  0.253045
2021-09-22 21:59:39.597014 : Epoch  3, Batch    410, Loss  0.771225, Average Loss  0.775792, Time  0.253078
2021-09-22 21:59:40.512789 : Epoch  3, Batch    433, Loss  0.768698, Average Loss  0.773074, Time  0.249467
2021-09-22 21:59:41.487351 : Epoch  3, Batch    411, Loss  0.780577, Average Loss  0.775855, Time  0.252815
2021-09-22 21:59:42.366858 : Epoch  3, Batch    434, Loss  0.779933, Average Loss  0.773127, Time  0.249783
2021-09-22 21:59:43.274152 : Epoch  3, Batch     51, Loss  0.872421, Average Loss  0.873297, Time  0.414020
2021-09-22 21:59:43.375991 : Epoch  3, Batch    412, Loss  0.780117, Average Loss  0.775910, Time  0.253092
2021-09-22 21:59:44.228734 : Epoch  3, Batch    435, Loss  0.766728, Average Loss  0.773180, Time  0.251654
2021-09-22 21:59:45.257113 : Epoch  3, Batch    413, Loss  0.778146, Average Loss  0.775929, Time  0.252821
2021-09-22 21:59:46.083195 : Epoch  3, Batch    436, Loss  0.784129, Average Loss  0.773228, Time  0.252036
2021-09-22 21:59:47.151041 : Epoch  3, Batch    414, Loss  0.773772, Average Loss  0.775865, Time  0.255397
2021-09-22 21:59:47.951859 : Epoch  3, Batch    437, Loss  0.762476, Average Loss  0.773184, Time  0.249202
2021-09-22 21:59:48.231096 : Epoch  3, Batch     52, Loss  0.872240, Average Loss  0.873235, Time  0.413833
2021-09-22 21:59:49.049171 : Epoch  3, Batch    415, Loss  0.774638, Average Loss  0.775872, Time  0.260174
2021-09-22 21:59:49.816859 : Epoch  3, Batch    438, Loss  0.784634, Average Loss  0.773228, Time  0.249295
2021-09-22 21:59:50.947328 : Epoch  3, Batch    416, Loss  0.780678, Average Loss  0.775873, Time  0.254264
2021-09-22 21:59:51.694339 : Epoch  3, Batch    439, Loss  0.791766, Average Loss  0.773309, Time  0.249331
2021-09-22 21:59:52.856470 : Epoch  3, Batch    417, Loss  0.780466, Average Loss  0.775848, Time  0.254772
2021-09-22 21:59:53.190880 : Epoch  3, Batch     53, Loss  0.877358, Average Loss  0.873267, Time  0.414576
2021-09-22 21:59:53.568284 : Epoch  3, Batch    440, Loss  0.777248, Average Loss  0.773314, Time  0.250304
2021-09-22 21:59:54.751608 : Epoch  3, Batch    418, Loss  0.782377, Average Loss  0.775917, Time  0.252409
2021-09-22 21:59:55.435398 : Epoch  3, Batch    441, Loss  0.771489, Average Loss  0.773217, Time  0.250688
2021-09-22 21:59:56.646873 : Epoch  3, Batch    419, Loss  0.767085, Average Loss  0.775905, Time  0.255002
2021-09-22 21:59:57.305705 : Epoch  3, Batch    442, Loss  0.766275, Average Loss  0.773169, Time  0.249311
2021-09-22 21:59:58.160849 : Epoch  3, Batch     54, Loss  0.862150, Average Loss  0.873225, Time  0.413702
2021-09-22 21:59:58.561023 : Epoch  3, Batch    420, Loss  0.772757, Average Loss  0.775855, Time  0.253383
2021-09-22 21:59:59.178616 : Epoch  3, Batch    443, Loss  0.767887, Average Loss  0.773173, Time  0.250340
2021-09-22 22:00:00.452088 : Epoch  3, Batch    421, Loss  0.775873, Average Loss  0.775858, Time  0.254457
2021-09-22 22:00:01.052866 : Epoch  3, Batch    444, Loss  0.771729, Average Loss  0.773165, Time  0.249030
2021-09-22 22:00:02.359409 : Epoch  3, Batch    422, Loss  0.764602, Average Loss  0.775842, Time  0.254447
2021-09-22 22:00:02.929822 : Epoch  3, Batch    445, Loss  0.767743, Average Loss  0.773160, Time  0.251712
2021-09-22 22:00:03.125920 : Epoch  3, Batch     55, Loss  0.860371, Average Loss  0.873219, Time  0.413497
2021-09-22 22:00:04.276579 : Epoch  3, Batch    423, Loss  0.782151, Average Loss  0.775901, Time  0.256254
2021-09-22 22:00:04.803382 : Epoch  3, Batch    446, Loss  0.770960, Average Loss  0.773079, Time  0.255186
2021-09-22 22:00:06.182634 : Epoch  3, Batch    424, Loss  0.786045, Average Loss  0.775954, Time  0.253400
2021-09-22 22:00:06.682058 : Epoch  3, Batch    447, Loss  0.779988, Average Loss  0.773090, Time  0.249813
2021-09-22 22:00:08.083006 : Epoch  3, Batch    425, Loss  0.779438, Average Loss  0.775979, Time  0.254322
2021-09-22 22:00:08.089942 : Epoch  3, Batch     56, Loss  0.866653, Average Loss  0.873185, Time  0.413279
2021-09-22 22:00:08.569069 : Epoch  3, Batch    448, Loss  0.757651, Average Loss  0.773034, Time  0.249847
2021-09-22 22:00:10.450445 : Epoch  3, Batch    449, Loss  0.760210, Average Loss  0.772913, Time  0.250409
2021-09-22 22:00:12.201481 : Epoch  3, Batch    426, Loss  0.774654, Average Loss  0.775963, Time  0.311686
2021-09-22 22:00:12.374110 : Epoch  3, Batch    450, Loss  0.773566, Average Loss  0.772960, Time  0.285071
2021-09-22 22:00:13.092762 : Epoch  3, Batch     57, Loss  0.877611, Average Loss  0.873146, Time  0.413099
2021-09-22 22:00:14.247905 : Epoch  3, Batch    451, Loss  0.760258, Average Loss  0.772854, Time  0.250376
2021-09-22 22:00:16.101495 : Epoch  3, Batch    452, Loss  0.787705, Average Loss  0.772938, Time  0.250056
2021-09-22 22:00:17.962922 : Epoch  3, Batch    453, Loss  0.776648, Average Loss  0.772956, Time  0.249470
2021-09-22 22:00:18.101877 : Epoch  3, Batch     58, Loss  0.865946, Average Loss  0.873031, Time  0.448602
2021-09-22 22:00:19.835277 : Epoch  3, Batch    454, Loss  0.776452, Average Loss  0.772893, Time  0.249588
2021-09-22 22:00:21.700592 : Epoch  3, Batch    455, Loss  0.779261, Average Loss  0.772949, Time  0.254957
2021-09-22 22:00:23.070844 : Epoch  3, Batch     59, Loss  0.854592, Average Loss  0.872892, Time  0.413048
2021-09-22 22:00:23.588984 : Epoch  3, Batch    456, Loss  0.786208, Average Loss  0.772990, Time  0.253472
2021-09-22 22:00:25.468071 : Epoch  3, Batch    457, Loss  0.779705, Average Loss  0.773002, Time  0.249712
2021-09-22 22:00:27.338368 : Epoch  3, Batch    458, Loss  0.772894, Average Loss  0.773027, Time  0.249356
2021-09-22 22:00:28.021996 : Epoch  3, Batch     60, Loss  0.865345, Average Loss  0.872924, Time  0.413298
2021-09-22 22:00:29.288140 : Epoch  3, Batch    459, Loss  0.777997, Average Loss  0.773041, Time  0.326169
2021-09-22 22:00:31.163783 : Epoch  3, Batch    460, Loss  0.776143, Average Loss  0.773041, Time  0.249121
2021-09-22 22:00:32.987746 : Epoch  3, Batch     61, Loss  0.875037, Average Loss  0.872974, Time  0.413260
2021-09-22 22:00:33.039261 : Epoch  3, Batch    461, Loss  0.775333, Average Loss  0.773050, Time  0.251556
2021-09-22 22:00:34.906524 : Epoch  3, Batch    462, Loss  0.766796, Average Loss  0.773049, Time  0.253242
2021-09-22 22:00:36.776794 : Epoch  3, Batch    463, Loss  0.778688, Average Loss  0.773058, Time  0.250073
2021-09-22 22:00:37.937862 : Epoch  3, Batch     62, Loss  0.855049, Average Loss  0.872977, Time  0.413322
2021-09-22 22:00:38.635446 : Epoch  3, Batch    464, Loss  0.770078, Average Loss  0.773062, Time  0.249125
2021-09-22 22:00:40.504971 : Epoch  3, Batch    465, Loss  0.767615, Average Loss  0.773049, Time  0.250659
2021-09-22 22:00:42.445730 : Epoch  3, Batch    466, Loss  0.774077, Average Loss  0.773052, Time  0.325628
2021-09-22 22:00:42.903915 : Epoch  3, Batch     63, Loss  0.873850, Average Loss  0.872998, Time  0.413101
2021-09-22 22:00:44.319951 : Epoch  3, Batch    467, Loss  0.762931, Average Loss  0.773041, Time  0.249720
2021-09-22 22:00:46.194553 : Epoch  3, Batch    468, Loss  0.768371, Average Loss  0.773041, Time  0.250975
2021-09-22 22:00:47.860985 : Epoch  3, Batch     64, Loss  0.870454, Average Loss  0.872936, Time  0.414577
2021-09-22 22:00:48.067066 : Epoch  3, Batch    469, Loss  0.771875, Average Loss  0.773063, Time  0.249166
2021-09-22 22:00:49.929151 : Epoch  3, Batch    470, Loss  0.772190, Average Loss  0.773079, Time  0.250252
2021-09-22 22:00:51.792690 : Epoch  3, Batch    471, Loss  0.766896, Average Loss  0.773060, Time  0.250231
2021-09-22 22:00:52.872977 : Epoch  3, Batch     65, Loss  0.874016, Average Loss  0.872921, Time  0.413662
2021-09-22 22:00:53.648465 : Epoch  3, Batch    472, Loss  0.767333, Average Loss  0.773007, Time  0.250078
2021-09-22 22:00:55.504793 : Epoch  3, Batch    473, Loss  0.776888, Average Loss  0.773013, Time  0.251882
2021-09-22 22:00:57.444865 : Epoch  3, Batch    474, Loss  0.765109, Average Loss  0.772989, Time  0.324220
2021-09-22 22:00:57.817022 : Epoch  3, Batch     66, Loss  0.888649, Average Loss  0.872948, Time  0.414436
2021-09-22 22:00:59.301150 : Epoch  3, Batch    475, Loss  0.778306, Average Loss  0.773052, Time  0.250138
2021-09-22 22:01:01.159720 : Epoch  3, Batch    476, Loss  0.773814, Average Loss  0.773038, Time  0.252217
2021-09-22 22:01:02.853743 : Epoch  3, Batch     67, Loss  0.877000, Average Loss  0.872974, Time  0.465255
2021-09-22 22:01:03.036015 : Epoch  3, Batch    477, Loss  0.770235, Average Loss  0.773030, Time  0.253762
2021-09-22 22:01:04.912841 : Epoch  3, Batch    478, Loss  0.781592, Average Loss  0.773100, Time  0.249743
2021-09-22 22:01:06.777536 : Epoch  3, Batch    479, Loss  0.778879, Average Loss  0.773207, Time  0.253356
2021-09-22 22:01:07.818045 : Epoch  3, Batch     68, Loss  0.872311, Average Loss  0.872973, Time  0.420776
2021-09-22 22:01:08.663788 : Epoch  3, Batch    480, Loss  0.778554, Average Loss  0.773237, Time  0.252742
2021-09-22 22:01:10.529862 : Epoch  3, Batch    481, Loss  0.773350, Average Loss  0.773248, Time  0.253016
2021-09-22 22:01:12.468299 : Epoch  3, Batch    482, Loss  0.783958, Average Loss  0.773286, Time  0.329234
2021-09-22 22:01:12.773779 : Epoch  3, Batch     69, Loss  0.867669, Average Loss  0.872923, Time  0.413268
2021-09-22 22:01:14.329201 : Epoch  3, Batch    483, Loss  0.776051, Average Loss  0.773294, Time  0.251259
2021-09-22 22:01:16.185335 : Epoch  3, Batch    484, Loss  0.774184, Average Loss  0.773276, Time  0.251074
2021-09-22 22:01:17.725786 : Epoch  3, Batch     70, Loss  0.858466, Average Loss  0.872803, Time  0.413154
2021-09-22 22:01:18.048814 : Epoch  3, Batch    485, Loss  0.776957, Average Loss  0.773311, Time  0.250734
2021-09-22 22:01:19.913936 : Epoch  3, Batch    486, Loss  0.763117, Average Loss  0.773254, Time  0.250069
2021-09-22 22:01:21.772846 : Epoch  3, Batch    487, Loss  0.757794, Average Loss  0.773153, Time  0.249255
2021-09-22 22:01:22.664293 : Epoch  3, Batch     71, Loss  0.862072, Average Loss  0.872803, Time  0.413615
2021-09-22 22:01:22.854420 : CheckPoint: Validation Loss  0.00031159, Best Loss  0.00031159
2021-09-22 22:01:22.881332 : Best Model Updated
2021-09-22 22:01:23.637041 : Epoch  3, Batch    488, Loss  0.774327, Average Loss  0.773170, Time  0.249526
2021-09-22 22:01:25.801785 : Epoch  3, Batch    489, Loss  0.793628, Average Loss  0.773310, Time  0.501771
2021-09-22 22:01:25.833605 : Epoch  3, Batch    427, Loss  0.771269, Average Loss  0.775947, Time  0.480956
2021-09-22 22:01:27.634771 : Epoch  3, Batch     72, Loss  0.853207, Average Loss  0.872698, Time  0.413270
2021-09-22 22:01:27.966606 : Epoch  3, Batch    490, Loss  0.768811, Average Loss  0.773317, Time  0.514360
2021-09-22 22:01:27.995458 : Epoch  3, Batch    428, Loss  0.767522, Average Loss  0.775904, Time  0.499363
2021-09-22 22:01:30.051891 : Epoch  3, Batch    491, Loss  0.778215, Average Loss  0.773312, Time  0.481002
2021-09-22 22:01:30.089722 : Epoch  3, Batch    429, Loss  0.756045, Average Loss  0.775845, Time  0.448105
2021-09-22 22:01:32.150822 : Epoch  3, Batch    492, Loss  0.757839, Average Loss  0.773224, Time  0.486729
2021-09-22 22:01:32.196323 : Epoch  3, Batch    430, Loss  0.786783, Average Loss  0.775946, Time  0.454196
2021-09-22 22:01:32.608004 : Epoch  3, Batch     73, Loss  0.889756, Average Loss  0.872724, Time  0.413601
2021-09-22 22:01:34.230403 : Epoch  3, Batch    493, Loss  0.768434, Average Loss  0.773195, Time  0.466985
2021-09-22 22:01:34.281185 : Epoch  3, Batch    431, Loss  0.769626, Average Loss  0.775909, Time  0.435495
2021-09-22 22:01:36.324730 : Epoch  3, Batch    494, Loss  0.772931, Average Loss  0.773210, Time  0.482546
2021-09-22 22:01:36.364211 : Epoch  3, Batch    432, Loss  0.773910, Average Loss  0.775896, Time  0.450432
2021-09-22 22:01:37.561801 : Epoch  3, Batch     74, Loss  0.869872, Average Loss  0.872689, Time  0.413687
2021-09-22 22:01:38.426891 : Epoch  3, Batch    495, Loss  0.765446, Average Loss  0.773189, Time  0.487705
2021-09-22 22:01:38.471674 : Epoch  3, Batch    433, Loss  0.774742, Average Loss  0.775895, Time  0.458827
2021-09-22 22:01:40.516779 : Epoch  3, Batch    496, Loss  0.774276, Average Loss  0.773209, Time  0.473341
2021-09-22 22:01:40.564688 : Epoch  3, Batch    434, Loss  0.775182, Average Loss  0.775872, Time  0.442290
2021-09-22 22:01:42.487738 : Epoch  3, Batch    435, Loss  0.783164, Average Loss  0.775882, Time  0.257779
2021-09-22 22:01:42.527730 : Epoch  3, Batch     75, Loss  0.875484, Average Loss  0.872683, Time  0.412884
2021-09-22 22:01:44.507857 : Epoch  3, Batch    436, Loss  0.763382, Average Loss  0.775860, Time  0.364814
2021-09-22 22:01:44.637493 : Epoch  3, Batch    497, Loss  0.765464, Average Loss  0.773186, Time  0.328570
2021-09-22 22:01:46.621897 : Epoch  3, Batch    437, Loss  0.790336, Average Loss  0.775931, Time  0.464447
2021-09-22 22:01:46.675616 : Epoch  3, Batch    498, Loss  0.767775, Average Loss  0.773201, Time  0.424311
2021-09-22 22:01:47.537025 : Epoch  3, Batch     76, Loss  0.887802, Average Loss  0.872843, Time  0.462305
2021-09-22 22:01:48.777298 : Epoch  3, Batch    438, Loss  0.761967, Average Loss  0.775845, Time  0.514989
2021-09-22 22:01:48.814985 : Epoch  3, Batch    499, Loss  0.771733, Average Loss  0.773162, Time  0.491283
2021-09-22 22:01:50.940015 : Epoch  3, Batch    500, Loss  0.778078, Average Loss  0.773175, Time  0.517764
2021-09-22 22:01:50.963921 : Epoch  3, Batch    439, Loss  0.765299, Average Loss  0.775773, Time  0.519776
2021-09-22 22:01:52.512983 : Epoch  3, Batch     77, Loss  0.875838, Average Loss  0.872845, Time  0.414054
2021-09-22 22:01:53.016833 : Epoch  3, Batch    501, Loss  0.776518, Average Loss  0.773197, Time  0.476903
2021-09-22 22:01:53.059252 : Epoch  3, Batch    440, Loss  0.776315, Average Loss  0.775782, Time  0.439672
2021-09-22 22:01:55.123121 : Epoch  3, Batch    502, Loss  0.773096, Average Loss  0.773155, Time  0.481117
2021-09-22 22:01:55.166752 : Epoch  3, Batch    441, Loss  0.777290, Average Loss  0.775779, Time  0.453470
2021-09-22 22:01:57.257706 : Epoch  3, Batch    503, Loss  0.763537, Average Loss  0.773095, Time  0.493567
2021-09-22 22:01:57.292835 : Epoch  3, Batch    442, Loss  0.773351, Average Loss  0.775819, Time  0.462450
2021-09-22 22:01:57.480784 : Epoch  3, Batch     78, Loss  0.872669, Average Loss  0.872884, Time  0.413618
2021-09-22 22:01:59.359043 : Epoch  3, Batch    504, Loss  0.772141, Average Loss  0.773084, Time  0.491790
2021-09-22 22:01:59.390603 : Epoch  3, Batch    443, Loss  0.760165, Average Loss  0.775778, Time  0.460197
2021-09-22 22:02:01.470553 : Epoch  3, Batch    505, Loss  0.777160, Average Loss  0.773170, Time  0.498111
2021-09-22 22:02:01.504639 : Epoch  3, Batch    444, Loss  0.770929, Average Loss  0.775816, Time  0.467016
2021-09-22 22:02:02.431043 : Epoch  3, Batch     79, Loss  0.860714, Average Loss  0.872802, Time  0.413977
2021-09-22 22:02:03.561892 : Epoch  3, Batch    506, Loss  0.767417, Average Loss  0.773172, Time  0.462733
2021-09-22 22:02:03.618666 : Epoch  3, Batch    445, Loss  0.768582, Average Loss  0.775812, Time  0.432135
2021-09-22 22:02:05.648349 : Epoch  3, Batch    507, Loss  0.789057, Average Loss  0.773226, Time  0.460671
2021-09-22 22:02:05.702839 : Epoch  3, Batch    446, Loss  0.772724, Average Loss  0.775795, Time  0.428945
2021-09-22 22:02:07.444059 : Epoch  3, Batch     80, Loss  0.860493, Average Loss  0.872802, Time  0.414189
2021-09-22 22:02:07.763599 : Epoch  3, Batch    508, Loss  0.771305, Average Loss  0.773266, Time  0.481557
2021-09-22 22:02:07.804764 : Epoch  3, Batch    447, Loss  0.773879, Average Loss  0.775756, Time  0.452817
2021-09-22 22:02:09.875179 : Epoch  3, Batch    509, Loss  0.769841, Average Loss  0.773245, Time  0.487587
2021-09-22 22:02:09.915430 : Epoch  3, Batch    448, Loss  0.775287, Average Loss  0.775795, Time  0.456037
2021-09-22 22:02:12.006258 : Epoch  3, Batch    510, Loss  0.774232, Average Loss  0.773267, Time  0.493758
2021-09-22 22:02:12.038764 : Epoch  3, Batch    449, Loss  0.775212, Average Loss  0.775809, Time  0.464003
2021-09-22 22:02:12.391764 : Epoch  3, Batch     81, Loss  0.870760, Average Loss  0.872800, Time  0.413307
2021-09-22 22:02:14.121525 : Epoch  3, Batch    511, Loss  0.780496, Average Loss  0.773333, Time  0.493659
2021-09-22 22:02:14.161239 : Epoch  3, Batch    450, Loss  0.773816, Average Loss  0.775864, Time  0.460455
2021-09-22 22:02:16.334327 : Epoch  3, Batch    512, Loss  0.774343, Average Loss  0.773346, Time  0.514863
2021-09-22 22:02:16.360838 : Epoch  3, Batch    451, Loss  0.776167, Average Loss  0.775861, Time  0.522099
2021-09-22 22:02:17.365884 : Epoch  3, Batch     82, Loss  0.869336, Average Loss  0.872860, Time  0.413130
2021-09-22 22:02:18.444485 : Epoch  3, Batch    513, Loss  0.773427, Average Loss  0.773336, Time  0.493623
2021-09-22 22:02:18.474877 : Epoch  3, Batch    452, Loss  0.781198, Average Loss  0.775885, Time  0.466292
2021-09-22 22:02:20.549239 : Epoch  3, Batch    514, Loss  0.777243, Average Loss  0.773372, Time  0.490937
2021-09-22 22:02:20.580425 : Epoch  3, Batch    453, Loss  0.779057, Average Loss  0.775878, Time  0.462485
2021-09-22 22:02:22.323772 : Epoch  3, Batch     83, Loss  0.883587, Average Loss  0.872934, Time  0.413247
2021-09-22 22:02:22.660280 : Epoch  3, Batch    515, Loss  0.766162, Average Loss  0.773321, Time  0.492825
2021-09-22 22:02:22.697819 : Epoch  3, Batch    454, Loss  0.771560, Average Loss  0.775874, Time  0.459558
2021-09-22 22:02:24.802908 : Epoch  3, Batch    516, Loss  0.766751, Average Loss  0.773288, Time  0.500787
2021-09-22 22:02:24.839400 : Epoch  3, Batch    455, Loss  0.776063, Average Loss  0.775886, Time  0.474723
2021-09-22 22:02:26.904649 : Epoch  3, Batch    517, Loss  0.766371, Average Loss  0.773280, Time  0.485362
2021-09-22 22:02:26.941014 : Epoch  3, Batch    456, Loss  0.772214, Average Loss  0.775880, Time  0.442426
2021-09-22 22:02:27.270923 : Epoch  3, Batch     84, Loss  0.878665, Average Loss  0.873014, Time  0.413481
2021-09-22 22:02:29.004951 : Epoch  3, Batch    518, Loss  0.773383, Average Loss  0.773277, Time  0.488735
2021-09-22 22:02:29.043779 : Epoch  3, Batch    457, Loss  0.774120, Average Loss  0.775966, Time  0.456532
2021-09-22 22:02:31.101297 : Epoch  3, Batch    519, Loss  0.786249, Average Loss  0.773377, Time  0.494632
2021-09-22 22:02:31.136155 : Epoch  3, Batch    458, Loss  0.778552, Average Loss  0.776021, Time  0.461025
2021-09-22 22:02:32.215954 : Epoch  3, Batch     85, Loss  0.874887, Average Loss  0.873061, Time  0.413101
2021-09-22 22:02:33.221457 : Epoch  3, Batch    520, Loss  0.775876, Average Loss  0.773411, Time  0.500318
2021-09-22 22:02:33.247262 : Epoch  3, Batch    459, Loss  0.782951, Average Loss  0.776027, Time  0.473014
2021-09-22 22:02:35.339988 : Epoch  3, Batch    521, Loss  0.769304, Average Loss  0.773393, Time  0.504839
2021-09-22 22:02:35.370561 : Epoch  3, Batch    460, Loss  0.769355, Average Loss  0.776019, Time  0.476688
2021-09-22 22:02:37.203225 : Epoch  3, Batch     86, Loss  0.878338, Average Loss  0.873130, Time  0.451946
2021-09-22 22:02:37.461885 : Epoch  3, Batch    522, Loss  0.776632, Average Loss  0.773447, Time  0.493150
2021-09-22 22:02:37.488115 : Epoch  3, Batch    461, Loss  0.777491, Average Loss  0.775994, Time  0.466387
2021-09-22 22:02:39.541356 : Epoch  3, Batch    523, Loss  0.777023, Average Loss  0.773464, Time  0.482134
2021-09-22 22:02:39.582788 : Epoch  3, Batch    462, Loss  0.771634, Average Loss  0.775954, Time  0.451284
2021-09-22 22:02:41.628990 : Epoch  3, Batch    524, Loss  0.775077, Average Loss  0.773452, Time  0.472686
2021-09-22 22:02:41.677787 : Epoch  3, Batch    463, Loss  0.769416, Average Loss  0.775954, Time  0.443452
2021-09-22 22:02:42.163971 : Epoch  3, Batch     87, Loss  0.876640, Average Loss  0.873210, Time  0.413135
2021-09-22 22:02:43.689003 : Epoch  3, Batch    525, Loss  0.776566, Average Loss  0.773437, Time  0.467781
2021-09-22 22:02:43.740593 : Epoch  3, Batch    464, Loss  0.780803, Average Loss  0.775939, Time  0.439936
2021-09-22 22:02:45.790408 : Epoch  3, Batch    526, Loss  0.770095, Average Loss  0.773473, Time  0.480443
2021-09-22 22:02:45.834302 : Epoch  3, Batch    465, Loss  0.778947, Average Loss  0.775889, Time  0.453182
2021-09-22 22:02:47.102058 : Epoch  3, Batch     88, Loss  0.860629, Average Loss  0.873096, Time  0.414128
2021-09-22 22:02:47.753102 : Epoch  3, Batch    466, Loss  0.775715, Average Loss  0.775838, Time  0.256286
2021-09-22 22:02:49.662284 : Epoch  3, Batch    467, Loss  0.773391, Average Loss  0.775848, Time  0.254683
2021-09-22 22:02:51.632861 : Epoch  3, Batch    468, Loss  0.781856, Average Loss  0.775904, Time  0.326137
2021-09-22 22:02:52.040972 : Epoch  3, Batch     89, Loss  0.866375, Average Loss  0.873045, Time  0.413425
2021-09-22 22:02:53.541415 : Epoch  3, Batch    469, Loss  0.772723, Average Loss  0.775830, Time  0.253195
2021-09-22 22:02:55.436866 : Epoch  3, Batch    470, Loss  0.771746, Average Loss  0.775870, Time  0.253617
2021-09-22 22:02:56.983908 : Epoch  3, Batch     90, Loss  0.875451, Average Loss  0.873105, Time  0.414197
2021-09-22 22:02:57.335913 : Epoch  3, Batch    471, Loss  0.765514, Average Loss  0.775795, Time  0.252951
2021-09-22 22:02:59.252243 : Epoch  3, Batch    472, Loss  0.780200, Average Loss  0.775838, Time  0.255317
2021-09-22 22:03:01.172109 : Epoch  3, Batch    473, Loss  0.771397, Average Loss  0.775837, Time  0.257886
2021-09-22 22:03:02.003809 : Epoch  3, Batch     91, Loss  0.865762, Average Loss  0.873072, Time  0.414317
2021-09-22 22:03:03.149320 : Epoch  3, Batch    474, Loss  0.771528, Average Loss  0.775852, Time  0.327250
2021-09-22 22:03:05.052351 : Epoch  3, Batch    475, Loss  0.771522, Average Loss  0.775845, Time  0.253584
2021-09-22 22:03:06.957862 : Epoch  3, Batch     92, Loss  0.868158, Average Loss  0.873021, Time  0.413255
2021-09-22 22:03:08.859578 : Epoch  3, Batch    477, Loss  0.783848, Average Loss  0.775931, Time  0.253997
2021-09-22 22:03:10.751235 : Epoch  3, Batch    478, Loss  0.771169, Average Loss  0.775950, Time  0.253158
2021-09-22 22:03:11.945561 : Epoch  3, Batch     93, Loss  0.902631, Average Loss  0.873065, Time  0.414075
2021-09-22 22:03:12.649699 : Epoch  3, Batch    479, Loss  0.773047, Average Loss  0.775914, Time  0.253661
2021-09-22 22:03:14.632545 : Epoch  3, Batch    480, Loss  0.775023, Average Loss  0.775842, Time  0.329465
2021-09-22 22:03:16.532309 : Epoch  3, Batch    481, Loss  0.771939, Average Loss  0.775836, Time  0.256052
2021-09-22 22:03:16.896571 : Epoch  3, Batch     94, Loss  0.851534, Average Loss  0.872944, Time  0.413312
2021-09-22 22:03:18.425171 : Epoch  3, Batch    482, Loss  0.774000, Average Loss  0.775852, Time  0.253538
2021-09-22 22:03:20.325412 : Epoch  3, Batch    483, Loss  0.773141, Average Loss  0.775842, Time  0.253688
2021-09-22 22:03:21.881733 : Epoch  3, Batch     95, Loss  0.876601, Average Loss  0.872860, Time  0.447049
2021-09-22 22:03:22.224561 : Epoch  3, Batch    484, Loss  0.782247, Average Loss  0.775840, Time  0.252737
2021-09-22 22:03:24.116776 : Epoch  3, Batch    485, Loss  0.767742, Average Loss  0.775810, Time  0.253915
2021-09-22 22:03:26.079246 : Epoch  3, Batch    486, Loss  0.767252, Average Loss  0.775793, Time  0.326274
2021-09-22 22:03:26.842924 : Epoch  3, Batch     96, Loss  0.871772, Average Loss  0.872911, Time  0.413463
2021-09-22 22:03:27.982819 : Epoch  3, Batch    487, Loss  0.771098, Average Loss  0.775803, Time  0.253496
2021-09-22 22:03:29.883508 : Epoch  3, Batch    488, Loss  0.770594, Average Loss  0.775814, Time  0.253415
2021-09-22 22:03:31.783763 : Epoch  3, Batch    489, Loss  0.778659, Average Loss  0.775798, Time  0.254030
2021-09-22 22:03:31.809891 : Epoch  3, Batch     97, Loss  0.870308, Average Loss  0.872832, Time  0.412880
2021-09-22 22:03:33.686964 : Epoch  3, Batch    490, Loss  0.764213, Average Loss  0.775703, Time  0.254540
2021-09-22 22:03:35.592999 : Epoch  3, Batch    491, Loss  0.783345, Average Loss  0.775721, Time  0.253737
2021-09-22 22:03:36.770758 : Epoch  3, Batch     98, Loss  0.872144, Average Loss  0.872768, Time  0.413066
2021-09-22 22:03:37.565943 : Epoch  3, Batch    492, Loss  0.776090, Average Loss  0.775713, Time  0.328018
2021-09-22 22:03:39.462296 : Epoch  3, Batch    493, Loss  0.778011, Average Loss  0.775715, Time  0.253407
2021-09-22 22:03:41.473540 : Epoch  3, Batch    494, Loss  0.764594, Average Loss  0.775676, Time  0.253296
2021-09-22 22:03:41.740799 : Epoch  3, Batch     99, Loss  0.875071, Average Loss  0.872731, Time  0.414076
2021-09-22 22:03:43.375780 : Epoch  3, Batch    495, Loss  0.776173, Average Loss  0.775723, Time  0.254385
2021-09-22 22:03:45.299275 : Epoch  3, Batch    496, Loss  0.779696, Average Loss  0.776025, Time  0.253800
2021-09-22 22:03:46.696125 : Epoch  3, Batch    100, Loss  0.867722, Average Loss  0.872645, Time  0.413274
2021-09-22 22:03:49.400190 : Epoch  3, Batch    497, Loss  0.761865, Average Loss  0.775915, Time  0.252485
2021-09-22 22:03:51.309059 : Epoch  3, Batch    498, Loss  0.789040, Average Loss  0.775923, Time  0.253893
2021-09-22 22:03:51.638983 : Epoch  3, Batch    101, Loss  0.871428, Average Loss  0.872655, Time  0.413176
2021-09-22 22:03:53.217564 : Epoch  3, Batch    499, Loss  0.779133, Average Loss  0.775879, Time  0.255477
2021-09-22 22:03:55.128332 : Epoch  3, Batch    500, Loss  0.772491, Average Loss  0.775797, Time  0.253408
2021-09-22 22:03:56.165078 : CheckPoint: Validation Loss  0.00032885, Best Loss  0.00031612
2021-09-22 22:03:56.585767 : Epoch  3, Batch    102, Loss  0.850664, Average Loss  0.872521, Time  0.414471
2021-09-22 22:03:57.040965 : Epoch  3, Batch    501, Loss  0.772502, Average Loss  0.775760, Time  0.255096
2021-09-22 22:03:58.045974 : Epoch  3, Batch    527, Loss  0.772434, Average Loss  0.773504, Time  0.250149
2021-09-22 22:03:58.948549 : Epoch  3, Batch    502, Loss  0.757034, Average Loss  0.775547, Time  0.253644
2021-09-22 22:03:59.916129 : Epoch  3, Batch    528, Loss  0.764556, Average Loss  0.773445, Time  0.251005
2021-09-22 22:04:00.864043 : Epoch  3, Batch    503, Loss  0.765295, Average Loss  0.775432, Time  0.253856
2021-09-22 22:04:01.560034 : Epoch  3, Batch    103, Loss  0.869443, Average Loss  0.872496, Time  0.414082
2021-09-22 22:04:01.792723 : Epoch  3, Batch    529, Loss  0.771861, Average Loss  0.773431, Time  0.249935
2021-09-22 22:04:02.774431 : Epoch  3, Batch    504, Loss  0.761568, Average Loss  0.775302, Time  0.255569
2021-09-22 22:04:03.666119 : Epoch  3, Batch    530, Loss  0.767868, Average Loss  0.773472, Time  0.249548
2021-09-22 22:04:04.667503 : Epoch  3, Batch    505, Loss  0.780960, Average Loss  0.775303, Time  0.254115
2021-09-22 22:04:05.534678 : Epoch  3, Batch    531, Loss  0.769978, Average Loss  0.773518, Time  0.250377
2021-09-22 22:04:06.556783 : Epoch  3, Batch    104, Loss  0.879885, Average Loss  0.872581, Time  0.453200
2021-09-22 22:04:06.570401 : Epoch  3, Batch    506, Loss  0.771499, Average Loss  0.775257, Time  0.254337
2021-09-22 22:04:07.417000 : Epoch  3, Batch    532, Loss  0.772285, Average Loss  0.773545, Time  0.251116
2021-09-22 22:04:08.493425 : Epoch  3, Batch    507, Loss  0.780516, Average Loss  0.775227, Time  0.254856
2021-09-22 22:04:09.290324 : Epoch  3, Batch    533, Loss  0.764570, Average Loss  0.773542, Time  0.251956
2021-09-22 22:04:10.398916 : Epoch  3, Batch    508, Loss  0.774535, Average Loss  0.775181, Time  0.253872
2021-09-22 22:04:11.167440 : Epoch  3, Batch    534, Loss  0.784409, Average Loss  0.773550, Time  0.250354
2021-09-22 22:04:11.518875 : Epoch  3, Batch    105, Loss  0.872762, Average Loss  0.872623, Time  0.413329
2021-09-22 22:04:12.295566 : Epoch  3, Batch    509, Loss  0.779636, Average Loss  0.775196, Time  0.252831
2021-09-22 22:04:13.034801 : Epoch  3, Batch    535, Loss  0.772991, Average Loss  0.773490, Time  0.249979
2021-09-22 22:04:14.205883 : Epoch  3, Batch    510, Loss  0.785857, Average Loss  0.775189, Time  0.258499
2021-09-22 22:04:14.903298 : Epoch  3, Batch    536, Loss  0.780567, Average Loss  0.773487, Time  0.250577
2021-09-22 22:04:16.110555 : Epoch  3, Batch    511, Loss  0.782877, Average Loss  0.775207, Time  0.253773
2021-09-22 22:04:16.482038 : Epoch  3, Batch    106, Loss  0.875684, Average Loss  0.872588, Time  0.414254
2021-09-22 22:04:16.782880 : Epoch  3, Batch    537, Loss  0.760218, Average Loss  0.773392, Time  0.249561
2021-09-22 22:04:18.009069 : Epoch  3, Batch    512, Loss  0.779328, Average Loss  0.775221, Time  0.252833
2021-09-22 22:04:18.643403 : Epoch  3, Batch    538, Loss  0.774668, Average Loss  0.773398, Time  0.249740
2021-09-22 22:04:19.909155 : Epoch  3, Batch    513, Loss  0.767796, Average Loss  0.775153, Time  0.253006
2021-09-22 22:04:20.525738 : Epoch  3, Batch    539, Loss  0.778092, Average Loss  0.773443, Time  0.254148
2021-09-22 22:04:21.432829 : Epoch  3, Batch    107, Loss  0.871909, Average Loss  0.872556, Time  0.413780
2021-09-22 22:04:21.822258 : Epoch  3, Batch    514, Loss  0.776994, Average Loss  0.775122, Time  0.255182
2021-09-22 22:04:22.393225 : Epoch  3, Batch    540, Loss  0.777816, Average Loss  0.773460, Time  0.253299
2021-09-22 22:04:23.717756 : Epoch  3, Batch    515, Loss  0.778771, Average Loss  0.775054, Time  0.253781
2021-09-22 22:04:24.259299 : Epoch  3, Batch    541, Loss  0.781146, Average Loss  0.773469, Time  0.250866
2021-09-22 22:04:25.618755 : Epoch  3, Batch    516, Loss  0.781866, Average Loss  0.775018, Time  0.253602
2021-09-22 22:04:26.153239 : Epoch  3, Batch    542, Loss  0.785449, Average Loss  0.773568, Time  0.259135
2021-09-22 22:04:26.391038 : Epoch  3, Batch    108, Loss  0.868953, Average Loss  0.872518, Time  0.413450
2021-09-22 22:04:27.524053 : Epoch  3, Batch    517, Loss  0.771466, Average Loss  0.774920, Time  0.254227
2021-09-22 22:04:28.023695 : Epoch  3, Batch    543, Loss  0.779461, Average Loss  0.773641, Time  0.249961
2021-09-22 22:04:29.426885 : Epoch  3, Batch    518, Loss  0.766516, Average Loss  0.774845, Time  0.253594
2021-09-22 22:04:29.889754 : Epoch  3, Batch    544, Loss  0.779056, Average Loss  0.773597, Time  0.248876
2021-09-22 22:04:31.341876 : Epoch  3, Batch    519, Loss  0.780266, Average Loss  0.774817, Time  0.253797
2021-09-22 22:04:31.353762 : Epoch  3, Batch    109, Loss  0.881757, Average Loss  0.872605, Time  0.414572
2021-09-22 22:04:31.765678 : Epoch  3, Batch    545, Loss  0.763085, Average Loss  0.773504, Time  0.253141
2021-09-22 22:04:33.255654 : Epoch  3, Batch    520, Loss  0.764439, Average Loss  0.774754, Time  0.254684
2021-09-22 22:04:33.640675 : Epoch  3, Batch    546, Loss  0.775748, Average Loss  0.773465, Time  0.254236
2021-09-22 22:04:35.171929 : Epoch  3, Batch    521, Loss  0.785303, Average Loss  0.774791, Time  0.254970
2021-09-22 22:04:35.502847 : Epoch  3, Batch    547, Loss  0.773201, Average Loss  0.773446, Time  0.254288
2021-09-22 22:04:36.332978 : Epoch  3, Batch    110, Loss  0.862876, Average Loss  0.872555, Time  0.413738
2021-09-22 22:04:37.089950 : Epoch  3, Batch    522, Loss  0.774074, Average Loss  0.774783, Time  0.254719
2021-09-22 22:04:37.362607 : Epoch  3, Batch    548, Loss  0.775303, Average Loss  0.773464, Time  0.249572
2021-09-22 22:04:39.006861 : Epoch  3, Batch    523, Loss  0.763393, Average Loss  0.774742, Time  0.254151
2021-09-22 22:04:39.231393 : Epoch  3, Batch    549, Loss  0.774994, Average Loss  0.773445, Time  0.261377
2021-09-22 22:04:40.986478 : Epoch  3, Batch    524, Loss  0.777523, Average Loss  0.774796, Time  0.330172
2021-09-22 22:04:41.145207 : Epoch  3, Batch    550, Loss  0.771222, Average Loss  0.773473, Time  0.302538
2021-09-22 22:04:41.289969 : Epoch  3, Batch    111, Loss  0.884311, Average Loss  0.872587, Time  0.413537
2021-09-22 22:04:43.051021 : Epoch  3, Batch    525, Loss  0.773475, Average Loss  0.774767, Time  0.423106
2021-09-22 22:04:43.143841 : Epoch  3, Batch    551, Loss  0.765034, Average Loss  0.773458, Time  0.382824
2021-09-22 22:04:45.199324 : Epoch  3, Batch    526, Loss  0.762377, Average Loss  0.774707, Time  0.497127
2021-09-22 22:04:45.236380 : Epoch  3, Batch    552, Loss  0.781951, Average Loss  0.773524, Time  0.452387
2021-09-22 22:04:46.234279 : Epoch  3, Batch    112, Loss  0.855980, Average Loss  0.872421, Time  0.413053
2021-09-22 22:04:47.135368 : Epoch  3, Batch    553, Loss  0.775557, Average Loss  0.773557, Time  0.252184
2021-09-22 22:04:49.077164 : Epoch  3, Batch    554, Loss  0.776076, Average Loss  0.773547, Time  0.324303
2021-09-22 22:04:50.945375 : Epoch  3, Batch    555, Loss  0.773262, Average Loss  0.773480, Time  0.250973
2021-09-22 22:04:51.194025 : Epoch  3, Batch    113, Loss  0.857344, Average Loss  0.872324, Time  0.413132
2021-09-22 22:04:52.798734 : Epoch  3, Batch    556, Loss  0.767899, Average Loss  0.773410, Time  0.249124
2021-09-22 22:04:54.672611 : Epoch  3, Batch    557, Loss  0.760409, Average Loss  0.773379, Time  0.251263
2021-09-22 22:04:56.202054 : Epoch  3, Batch    114, Loss  0.872865, Average Loss  0.872340, Time  0.458205
2021-09-22 22:04:56.566836 : Epoch  3, Batch    558, Loss  0.777600, Average Loss  0.773475, Time  0.252299
2021-09-22 22:04:58.450832 : Epoch  3, Batch    559, Loss  0.778384, Average Loss  0.773523, Time  0.250869
2021-09-22 22:05:00.340911 : Epoch  3, Batch    560, Loss  0.778620, Average Loss  0.773524, Time  0.253557
2021-09-22 22:05:01.225330 : Epoch  3, Batch    115, Loss  0.877997, Average Loss  0.872295, Time  0.414820
2021-09-22 22:05:02.235263 : Epoch  3, Batch    561, Loss  0.764086, Average Loss  0.773494, Time  0.251469
2021-09-22 22:05:04.194279 : Epoch  3, Batch    562, Loss  0.772453, Average Loss  0.773531, Time  0.327985
2021-09-22 22:05:06.092271 : Epoch  3, Batch    563, Loss  0.780648, Average Loss  0.773665, Time  0.253622
2021-09-22 22:05:06.201906 : Epoch  3, Batch    116, Loss  0.879943, Average Loss  0.872286, Time  0.414151
2021-09-22 22:05:07.973664 : Epoch  3, Batch    564, Loss  0.770840, Average Loss  0.773693, Time  0.250284
2021-09-22 22:05:09.865927 : Epoch  3, Batch    565, Loss  0.766267, Average Loss  0.773637, Time  0.249934
2021-09-22 22:05:11.162014 : Epoch  3, Batch    117, Loss  0.860379, Average Loss  0.872245, Time  0.413797
2021-09-22 22:05:11.745036 : Epoch  3, Batch    566, Loss  0.775640, Average Loss  0.773617, Time  0.250165
2021-09-22 22:05:13.627468 : Epoch  3, Batch    567, Loss  0.773648, Average Loss  0.773593, Time  0.251823
2021-09-22 22:05:15.500186 : Epoch  3, Batch    568, Loss  0.780320, Average Loss  0.773591, Time  0.250491
2021-09-22 22:05:16.115129 : Epoch  3, Batch    118, Loss  0.869910, Average Loss  0.872284, Time  0.413680
2021-09-22 22:05:17.420528 : Epoch  3, Batch    569, Loss  0.772887, Average Loss  0.773570, Time  0.307310
2021-09-22 22:05:19.336366 : Epoch  3, Batch    570, Loss  0.767528, Average Loss  0.773541, Time  0.288897
2021-09-22 22:05:21.094754 : Epoch  3, Batch    119, Loss  0.868538, Average Loss  0.872286, Time  0.413667
2021-09-22 22:05:21.203657 : Epoch  3, Batch    571, Loss  0.766551, Average Loss  0.773565, Time  0.249557
2021-09-22 22:05:23.080800 : Epoch  3, Batch    572, Loss  0.787092, Average Loss  0.773654, Time  0.250102
2021-09-22 22:05:24.958495 : Epoch  3, Batch    573, Loss  0.776409, Average Loss  0.773682, Time  0.249547
2021-09-22 22:05:26.052965 : Epoch  3, Batch    120, Loss  0.884153, Average Loss  0.872273, Time  0.413309
2021-09-22 22:05:26.835924 : Epoch  3, Batch    574, Loss  0.768311, Average Loss  0.773673, Time  0.250422
2021-09-22 22:05:28.712829 : Epoch  3, Batch    575, Loss  0.775806, Average Loss  0.773691, Time  0.250521
2021-09-22 22:05:30.582873 : Epoch  3, Batch    576, Loss  0.776100, Average Loss  0.773661, Time  0.249328
2021-09-22 22:05:31.011181 : Epoch  3, Batch    121, Loss  0.863146, Average Loss  0.872274, Time  0.414623
2021-09-22 22:05:32.460023 : Epoch  3, Batch    577, Loss  0.774541, Average Loss  0.773679, Time  0.249716
2021-09-22 22:05:34.397964 : Epoch  3, Batch    578, Loss  0.765451, Average Loss  0.773674, Time  0.326372
2021-09-22 22:05:35.966031 : Epoch  3, Batch    122, Loss  0.850166, Average Loss  0.872097, Time  0.413105
2021-09-22 22:05:36.282473 : Epoch  3, Batch    579, Loss  0.766713, Average Loss  0.773660, Time  0.249703
2021-09-22 22:05:38.157304 : Epoch  3, Batch    580, Loss  0.777649, Average Loss  0.773640, Time  0.252444
2021-09-22 22:05:40.034360 : Epoch  3, Batch    581, Loss  0.768412, Average Loss  0.773599, Time  0.253073
2021-09-22 22:05:40.962781 : Epoch  3, Batch    123, Loss  0.882227, Average Loss  0.872100, Time  0.438874
2021-09-22 22:05:41.896074 : Epoch  3, Batch    582, Loss  0.771988, Average Loss  0.773586, Time  0.249158
2021-09-22 22:05:43.763884 : Epoch  3, Batch    583, Loss  0.780003, Average Loss  0.773606, Time  0.250602
2021-09-22 22:05:45.628384 : Epoch  3, Batch    584, Loss  0.774242, Average Loss  0.773617, Time  0.253354
2021-09-22 22:05:45.913720 : Epoch  3, Batch    124, Loss  0.869099, Average Loss  0.872065, Time  0.413427
2021-09-22 22:05:47.501017 : Epoch  3, Batch    585, Loss  0.779636, Average Loss  0.773666, Time  0.250598
2021-09-22 22:05:49.447242 : Epoch  3, Batch    586, Loss  0.778001, Average Loss  0.773679, Time  0.324501
2021-09-22 22:05:50.912886 : Epoch  3, Batch    125, Loss  0.880896, Average Loss  0.872088, Time  0.413644
2021-09-22 22:05:51.324249 : Epoch  3, Batch    587, Loss  0.770994, Average Loss  0.773652, Time  0.249211
2021-09-22 22:05:53.186388 : Epoch  3, Batch    588, Loss  0.772895, Average Loss  0.773629, Time  0.250547
2021-09-22 22:05:55.061184 : Epoch  3, Batch    589, Loss  0.778961, Average Loss  0.773619, Time  0.250691
2021-09-22 22:05:55.871871 : Epoch  3, Batch    126, Loss  0.871339, Average Loss  0.872127, Time  0.413223
2021-09-22 22:05:56.539445 : CheckPoint: Validation Loss  0.00033148, Best Loss  0.00031159
2021-09-22 22:05:56.940290 : Epoch  3, Batch    590, Loss  0.775438, Average Loss  0.773571, Time  0.251994
2021-09-22 22:05:58.439938 : Epoch  3, Batch    527, Loss  0.773556, Average Loss  0.774746, Time  0.254518
2021-09-22 22:05:58.802565 : Epoch  3, Batch    591, Loss  0.770483, Average Loss  0.773574, Time  0.249347
2021-09-22 22:06:00.330427 : Epoch  3, Batch    528, Loss  0.763592, Average Loss  0.774694, Time  0.253627
2021-09-22 22:06:00.705659 : Epoch  3, Batch    592, Loss  0.775986, Average Loss  0.773535, Time  0.250540
2021-09-22 22:06:00.838756 : Epoch  3, Batch    127, Loss  0.875211, Average Loss  0.872131, Time  0.413684
2021-09-22 22:06:02.249219 : Epoch  3, Batch    529, Loss  0.768738, Average Loss  0.774593, Time  0.254682
2021-09-22 22:06:02.578819 : Epoch  3, Batch    593, Loss  0.773319, Average Loss  0.773572, Time  0.250515
2021-09-22 22:06:04.165409 : Epoch  3, Batch    530, Loss  0.772014, Average Loss  0.774510, Time  0.255282
2021-09-22 22:06:04.452985 : Epoch  3, Batch    594, Loss  0.780672, Average Loss  0.773598, Time  0.250654
2021-09-22 22:06:05.807102 : Epoch  3, Batch    128, Loss  0.881717, Average Loss  0.872169, Time  0.415772
2021-09-22 22:06:06.075977 : Epoch  3, Batch    531, Loss  0.775112, Average Loss  0.774503, Time  0.254411
2021-09-22 22:06:06.338821 : Epoch  3, Batch    595, Loss  0.771800, Average Loss  0.773573, Time  0.251481
2021-09-22 22:06:07.983620 : Epoch  3, Batch    532, Loss  0.782187, Average Loss  0.774508, Time  0.254001
2021-09-22 22:06:08.237879 : Epoch  3, Batch    596, Loss  0.761209, Average Loss  0.773539, Time  0.252609
2021-09-22 22:06:09.906908 : Epoch  3, Batch    533, Loss  0.775148, Average Loss  0.774494, Time  0.256921
2021-09-22 22:06:10.764778 : Epoch  3, Batch    129, Loss  0.868761, Average Loss  0.872099, Time  0.413590
2021-09-22 22:06:11.815432 : Epoch  3, Batch    534, Loss  0.766541, Average Loss  0.774491, Time  0.257945
2021-09-22 22:06:12.542612 : Epoch  3, Batch    597, Loss  0.774540, Average Loss  0.773542, Time  0.252255
2021-09-22 22:06:13.704895 : Epoch  3, Batch    535, Loss  0.768424, Average Loss  0.774484, Time  0.252788
2021-09-22 22:06:14.418877 : Epoch  3, Batch    598, Loss  0.780790, Average Loss  0.773601, Time  0.250417
2021-09-22 22:06:15.595799 : Epoch  3, Batch    536, Loss  0.778822, Average Loss  0.774463, Time  0.255589
2021-09-22 22:06:15.740920 : Epoch  3, Batch    130, Loss  0.862468, Average Loss  0.872032, Time  0.424240
2021-09-22 22:06:16.297005 : Epoch  3, Batch    599, Loss  0.774509, Average Loss  0.773603, Time  0.250366
2021-09-22 22:06:17.504451 : Epoch  3, Batch    537, Loss  0.765414, Average Loss  0.774399, Time  0.253455
2021-09-22 22:06:18.182071 : Epoch  3, Batch    600, Loss  0.770424, Average Loss  0.773634, Time  0.252202
2021-09-22 22:06:19.405565 : Epoch  3, Batch    538, Loss  0.761607, Average Loss  0.774340, Time  0.253486
2021-09-22 22:06:20.072282 : Epoch  3, Batch    601, Loss  0.776391, Average Loss  0.773658, Time  0.250768
2021-09-22 22:06:20.700949 : Epoch  3, Batch    131, Loss  0.878460, Average Loss  0.872030, Time  0.413420
2021-09-22 22:06:21.309751 : Epoch  3, Batch    539, Loss  0.759133, Average Loss  0.774270, Time  0.253625
2021-09-22 22:06:21.954179 : Epoch  3, Batch    602, Loss  0.765850, Average Loss  0.773622, Time  0.251992
2021-09-22 22:06:23.217970 : Epoch  3, Batch    540, Loss  0.773402, Average Loss  0.774264, Time  0.263938
2021-09-22 22:06:23.845082 : Epoch  3, Batch    603, Loss  0.766972, Average Loss  0.773625, Time  0.251450
2021-09-22 22:06:25.135137 : Epoch  3, Batch    541, Loss  0.770035, Average Loss  0.774240, Time  0.254519
2021-09-22 22:06:25.701055 : Epoch  3, Batch    132, Loss  0.863282, Average Loss  0.871990, Time  0.462790
2021-09-22 22:06:25.721536 : Epoch  3, Batch    604, Loss  0.780374, Average Loss  0.773662, Time  0.250366
2021-09-22 22:06:27.031386 : Epoch  3, Batch    542, Loss  0.790885, Average Loss  0.774366, Time  0.253438
2021-09-22 22:06:27.604295 : Epoch  3, Batch    605, Loss  0.760202, Average Loss  0.773611, Time  0.250269
2021-09-22 22:06:28.928340 : Epoch  3, Batch    543, Loss  0.784801, Average Loss  0.774387, Time  0.254910
2021-09-22 22:06:29.489188 : Epoch  3, Batch    606, Loss  0.769833, Average Loss  0.773577, Time  0.251452
2021-09-22 22:06:30.665733 : Epoch  3, Batch    133, Loss  0.864754, Average Loss  0.871939, Time  0.413366
2021-09-22 22:06:30.821857 : Epoch  3, Batch    544, Loss  0.774981, Average Loss  0.774413, Time  0.253059
2021-09-22 22:06:31.359850 : Epoch  3, Batch    607, Loss  0.775031, Average Loss  0.773599, Time  0.250718
2021-09-22 22:06:32.713217 : Epoch  3, Batch    545, Loss  0.779146, Average Loss  0.774462, Time  0.254974
2021-09-22 22:06:33.234795 : Epoch  3, Batch    608, Loss  0.774965, Average Loss  0.773611, Time  0.252445
2021-09-22 22:06:34.599436 : Epoch  3, Batch    546, Loss  0.777635, Average Loss  0.774431, Time  0.252613
2021-09-22 22:06:35.118595 : Epoch  3, Batch    609, Loss  0.767981, Average Loss  0.773587, Time  0.254180
2021-09-22 22:06:35.617014 : Epoch  3, Batch    134, Loss  0.878027, Average Loss  0.871892, Time  0.413249
2021-09-22 22:06:36.500783 : Epoch  3, Batch    547, Loss  0.779575, Average Loss  0.774375, Time  0.256181
2021-09-22 22:06:36.988018 : Epoch  3, Batch    610, Loss  0.788297, Average Loss  0.773661, Time  0.253529
2021-09-22 22:06:38.393629 : Epoch  3, Batch    548, Loss  0.779918, Average Loss  0.774411, Time  0.252568
2021-09-22 22:06:38.847478 : Epoch  3, Batch    611, Loss  0.772446, Average Loss  0.773686, Time  0.249925
2021-09-22 22:06:40.280898 : Epoch  3, Batch    549, Loss  0.765785, Average Loss  0.774304, Time  0.253390
2021-09-22 22:06:40.570756 : Epoch  3, Batch    135, Loss  0.874147, Average Loss  0.871854, Time  0.413234
2021-09-22 22:06:40.713872 : Epoch  3, Batch    612, Loss  0.760948, Average Loss  0.773545, Time  0.251696
2021-09-22 22:06:42.177357 : Epoch  3, Batch    550, Loss  0.791007, Average Loss  0.774405, Time  0.253544
2021-09-22 22:06:42.587109 : Epoch  3, Batch    613, Loss  0.766608, Average Loss  0.773500, Time  0.250079
2021-09-22 22:06:44.071317 : Epoch  3, Batch    551, Loss  0.787810, Average Loss  0.774522, Time  0.252951
2021-09-22 22:06:44.447903 : Epoch  3, Batch    614, Loss  0.775868, Average Loss  0.773473, Time  0.250220
2021-09-22 22:06:45.530006 : Epoch  3, Batch    136, Loss  0.882028, Average Loss  0.871988, Time  0.413573
2021-09-22 22:06:45.967231 : Epoch  3, Batch    552, Loss  0.766886, Average Loss  0.774499, Time  0.253415
2021-09-22 22:06:46.314092 : Epoch  3, Batch    615, Loss  0.776125, Average Loss  0.773445, Time  0.249026
2021-09-22 22:06:47.859028 : Epoch  3, Batch    553, Loss  0.775392, Average Loss  0.774526, Time  0.252958
2021-09-22 22:06:48.189124 : Epoch  3, Batch    616, Loss  0.776905, Average Loss  0.773495, Time  0.250047
2021-09-22 22:06:49.763162 : Epoch  3, Batch    554, Loss  0.770170, Average Loss  0.774565, Time  0.256990
2021-09-22 22:06:50.061980 : Epoch  3, Batch    617, Loss  0.762695, Average Loss  0.773458, Time  0.250313
2021-09-22 22:06:50.475008 : Epoch  3, Batch    137, Loss  0.866113, Average Loss  0.871933, Time  0.412975
2021-09-22 22:06:51.667416 : Epoch  3, Batch    555, Loss  0.770990, Average Loss  0.774543, Time  0.253165
2021-09-22 22:06:51.934068 : Epoch  3, Batch    618, Loss  0.773672, Average Loss  0.773445, Time  0.250310
2021-09-22 22:06:53.566853 : Epoch  3, Batch    556, Loss  0.769941, Average Loss  0.774491, Time  0.253551
2021-09-22 22:06:53.807622 : Epoch  3, Batch    619, Loss  0.779696, Average Loss  0.773518, Time  0.253793
2021-09-22 22:06:55.436968 : Epoch  3, Batch    138, Loss  0.877144, Average Loss  0.871939, Time  0.413256
2021-09-22 22:06:55.462655 : Epoch  3, Batch    557, Loss  0.774156, Average Loss  0.774422, Time  0.253644
2021-09-22 22:06:55.685039 : Epoch  3, Batch    620, Loss  0.776911, Average Loss  0.773540, Time  0.265620
2021-09-22 22:06:57.408217 : Epoch  3, Batch    558, Loss  0.774993, Average Loss  0.774430, Time  0.295708
2021-09-22 22:06:57.596181 : Epoch  3, Batch    621, Loss  0.775105, Average Loss  0.773460, Time  0.276727
2021-09-22 22:06:59.507381 : Epoch  3, Batch    559, Loss  0.764459, Average Loss  0.774388, Time  0.422854
2021-09-22 22:06:59.596387 : Epoch  3, Batch    622, Loss  0.764810, Average Loss  0.773437, Time  0.386578
2021-09-22 22:07:00.382045 : Epoch  3, Batch    139, Loss  0.881949, Average Loss  0.871936, Time  0.413173
2021-09-22 22:07:01.628361 : Epoch  3, Batch    560, Loss  0.777012, Average Loss  0.774426, Time  0.481973
2021-09-22 22:07:01.677370 : Epoch  3, Batch    623, Loss  0.754118, Average Loss  0.773330, Time  0.446260
2021-09-22 22:07:03.780329 : Epoch  3, Batch    561, Loss  0.777233, Average Loss  0.774420, Time  0.507913
2021-09-22 22:07:03.817936 : Epoch  3, Batch    624, Loss  0.768863, Average Loss  0.773272, Time  0.479364
2021-09-22 22:07:05.348750 : Epoch  3, Batch    140, Loss  0.854326, Average Loss  0.871863, Time  0.413355
2021-09-22 22:07:05.948373 : Epoch  3, Batch    562, Loss  0.774782, Average Loss  0.774441, Time  0.518383
2021-09-22 22:07:05.982348 : Epoch  3, Batch    625, Loss  0.765139, Average Loss  0.773158, Time  0.505332
2021-09-22 22:07:08.122970 : Epoch  3, Batch    626, Loss  0.777002, Average Loss  0.773106, Time  0.511080
2021-09-22 22:07:08.123448 : Epoch  3, Batch    563, Loss  0.776674, Average Loss  0.774456, Time  0.519014
2021-09-22 22:07:10.093092 : Epoch  3, Batch    564, Loss  0.763672, Average Loss  0.774434, Time  0.255185
2021-09-22 22:07:10.307997 : Epoch  3, Batch    141, Loss  0.873200, Average Loss  0.871813, Time  0.414655
2021-09-22 22:07:12.011184 : Epoch  3, Batch    565, Loss  0.768857, Average Loss  0.774402, Time  0.254751
2021-09-22 22:07:13.946473 : Epoch  3, Batch    566, Loss  0.774158, Average Loss  0.774382, Time  0.287005
2021-09-22 22:07:15.305168 : Epoch  3, Batch    142, Loss  0.878287, Average Loss  0.871744, Time  0.455881
2021-09-22 22:07:15.842882 : Epoch  3, Batch    567, Loss  0.775708, Average Loss  0.774443, Time  0.254843
2021-09-22 22:07:17.734128 : Epoch  3, Batch    568, Loss  0.766485, Average Loss  0.774426, Time  0.253706
2021-09-22 22:07:19.628016 : Epoch  3, Batch    569, Loss  0.774941, Average Loss  0.774413, Time  0.254583
2021-09-22 22:07:20.259903 : Epoch  3, Batch    143, Loss  0.870813, Average Loss  0.871762, Time  0.414746
2021-09-22 22:07:21.524413 : Epoch  3, Batch    570, Loss  0.765169, Average Loss  0.774338, Time  0.253838
2021-09-22 22:07:23.424903 : Epoch  3, Batch    571, Loss  0.769459, Average Loss  0.774276, Time  0.253617
2021-09-22 22:07:25.403142 : Epoch  3, Batch    572, Loss  0.769466, Average Loss  0.774251, Time  0.329370
2021-09-22 22:07:27.304707 : Epoch  3, Batch    573, Loss  0.783701, Average Loss  0.774286, Time  0.253696
2021-09-22 22:07:29.204509 : Epoch  3, Batch    574, Loss  0.774244, Average Loss  0.774272, Time  0.254067
2021-09-22 22:07:31.106209 : Epoch  3, Batch    575, Loss  0.772786, Average Loss  0.774255, Time  0.253418
2021-09-22 22:07:33.006474 : Epoch  3, Batch    576, Loss  0.771163, Average Loss  0.774178, Time  0.254425
2021-09-22 22:07:33.920801 : Epoch  3, Batch    144, Loss  0.869144, Average Loss  0.871793, Time  0.414864
2021-09-22 22:07:34.904030 : Epoch  3, Batch    577, Loss  0.762406, Average Loss  0.774190, Time  0.254034
2021-09-22 22:07:36.873344 : Epoch  3, Batch    578, Loss  0.776451, Average Loss  0.774213, Time  0.327534
2021-09-22 22:07:38.768226 : Epoch  3, Batch    579, Loss  0.775730, Average Loss  0.774191, Time  0.254368
2021-09-22 22:07:40.684220 : Epoch  3, Batch    580, Loss  0.777991, Average Loss  0.774209, Time  0.253786
2021-09-22 22:07:42.577523 : Epoch  3, Batch    581, Loss  0.779374, Average Loss  0.774166, Time  0.257158
2021-09-22 22:07:44.471030 : Epoch  3, Batch    582, Loss  0.781175, Average Loss  0.774190, Time  0.256839
2021-09-22 22:07:46.376365 : Epoch  3, Batch    583, Loss  0.777210, Average Loss  0.774256, Time  0.256631
2021-09-22 22:07:48.350830 : Epoch  3, Batch    584, Loss  0.771435, Average Loss  0.774193, Time  0.328103
2021-09-22 22:07:50.249915 : Epoch  3, Batch    585, Loss  0.781018, Average Loss  0.774235, Time  0.256044
2021-09-22 22:07:52.155494 : Epoch  3, Batch    586, Loss  0.775954, Average Loss  0.774260, Time  0.254125
2021-09-22 22:07:54.058945 : Epoch  3, Batch    587, Loss  0.765275, Average Loss  0.774144, Time  0.253762
2021-09-22 22:07:55.965919 : Epoch  3, Batch    588, Loss  0.777920, Average Loss  0.774133, Time  0.254108
2021-09-22 22:07:57.864618 : Epoch  3, Batch    589, Loss  0.767877, Average Loss  0.774043, Time  0.256756
2021-09-22 22:07:59.842081 : Epoch  3, Batch    590, Loss  0.766423, Average Loss  0.773985, Time  0.328788
2021-09-22 22:08:01.740497 : Epoch  3, Batch    591, Loss  0.773672, Average Loss  0.773980, Time  0.255890
2021-09-22 22:08:03.648890 : Epoch  3, Batch    592, Loss  0.784465, Average Loss  0.774015, Time  0.256406
2021-09-22 22:08:05.538404 : Epoch  3, Batch    593, Loss  0.783069, Average Loss  0.774116, Time  0.253403
2021-09-22 22:08:07.439716 : Epoch  3, Batch    594, Loss  0.768348, Average Loss  0.774091, Time  0.253067
2021-09-22 22:08:09.354315 : Epoch  3, Batch    595, Loss  0.773684, Average Loss  0.774093, Time  0.254962
2021-09-22 22:08:11.323519 : Epoch  3, Batch    596, Loss  0.775189, Average Loss  0.774115, Time  0.327821
2021-09-22 22:08:15.380636 : Epoch  3, Batch    597, Loss  0.776863, Average Loss  0.774151, Time  0.253496
2021-09-22 22:08:17.268641 : Epoch  3, Batch    598, Loss  0.765302, Average Loss  0.774145, Time  0.254489
2021-09-22 22:08:18.288350 : CheckPoint: Validation Loss  0.00031433, Best Loss  0.00031433
2021-09-22 22:08:18.327870 : Best Model Updated
2021-09-22 22:08:19.143478 : Epoch  3, Batch    599, Loss  0.770789, Average Loss  0.774113, Time  0.256143
2021-09-22 22:08:21.134507 : Epoch  3, Batch    627, Loss  0.772154, Average Loss  0.773100, Time  0.450433
2021-09-22 22:08:21.193105 : Epoch  3, Batch    600, Loss  0.772525, Average Loss  0.774095, Time  0.417912
2021-09-22 22:08:23.253711 : Epoch  3, Batch    628, Loss  0.777966, Average Loss  0.773111, Time  0.492057
2021-09-22 22:08:23.288893 : Epoch  3, Batch    601, Loss  0.769857, Average Loss  0.774034, Time  0.456720
2021-09-22 22:08:25.432640 : Epoch  3, Batch    629, Loss  0.770091, Average Loss  0.773132, Time  0.515626
2021-09-22 22:08:25.472024 : Epoch  3, Batch    602, Loss  0.772267, Average Loss  0.773996, Time  0.508768
2021-09-22 22:08:27.549542 : Epoch  3, Batch    630, Loss  0.774500, Average Loss  0.773120, Time  0.491085
2021-09-22 22:08:27.585083 : Epoch  3, Batch    603, Loss  0.768834, Average Loss  0.773953, Time  0.463060
2021-09-22 22:08:29.671117 : Epoch  3, Batch    631, Loss  0.767883, Average Loss  0.773070, Time  0.495275
2021-09-22 22:08:29.708219 : Epoch  3, Batch    604, Loss  0.769852, Average Loss  0.773942, Time  0.466559
2021-09-22 22:08:31.807341 : Epoch  3, Batch    632, Loss  0.774430, Average Loss  0.773112, Time  0.501061
2021-09-22 22:08:31.845663 : Epoch  3, Batch    605, Loss  0.764507, Average Loss  0.773875, Time  0.481669
2021-09-22 22:08:33.933615 : Epoch  3, Batch    633, Loss  0.775374, Average Loss  0.773146, Time  0.498698
2021-09-22 22:08:33.964976 : Epoch  3, Batch    606, Loss  0.764570, Average Loss  0.773822, Time  0.464322
2021-09-22 22:08:36.046771 : Epoch  3, Batch    634, Loss  0.778556, Average Loss  0.773139, Time  0.491752
2021-09-22 22:08:36.079941 : Epoch  3, Batch    607, Loss  0.775465, Average Loss  0.773859, Time  0.465360
2021-09-22 22:08:38.165271 : Epoch  3, Batch    635, Loss  0.780234, Average Loss  0.773206, Time  0.494504
2021-09-22 22:08:38.201716 : Epoch  3, Batch    608, Loss  0.773835, Average Loss  0.773857, Time  0.469668
2021-09-22 22:08:40.279393 : Epoch  3, Batch    636, Loss  0.773842, Average Loss  0.773155, Time  0.486143
2021-09-22 22:08:40.317450 : Epoch  3, Batch    609, Loss  0.781280, Average Loss  0.773907, Time  0.454937
2021-09-22 22:08:42.390861 : Epoch  3, Batch    637, Loss  0.782474, Average Loss  0.773255, Time  0.492247
2021-09-22 22:08:42.422659 : Epoch  3, Batch    610, Loss  0.769715, Average Loss  0.773899, Time  0.455914
2021-09-22 22:08:44.568313 : Epoch  3, Batch    638, Loss  0.769197, Average Loss  0.773178, Time  0.513673
2021-09-22 22:08:44.605595 : Epoch  3, Batch    611, Loss  0.774314, Average Loss  0.773868, Time  0.504967
2021-09-22 22:08:46.682898 : Epoch  3, Batch    639, Loss  0.773969, Average Loss  0.773089, Time  0.492662
2021-09-22 22:08:46.711195 : Epoch  3, Batch    612, Loss  0.776422, Average Loss  0.773850, Time  0.461978
2021-09-22 22:08:48.758825 : Epoch  3, Batch    640, Loss  0.776859, Average Loss  0.773087, Time  0.455088
2021-09-22 22:08:48.818410 : Epoch  3, Batch    613, Loss  0.785075, Average Loss  0.773884, Time  0.424632
2021-09-22 22:08:48.919301 : Epoch  3, Batch    641, Loss  0.813679, Average Loss  0.773298, Time  0.118702
2021-09-22 22:08:50.967115 : Epoch  3, Batch    614, Loss  0.774149, Average Loss  0.773886, Time  0.497972
2021-09-22 22:08:51.008756 : Epoch  3, Batch    642, Loss  0.781930, Average Loss  0.773376, Time  0.453716
2021-09-22 22:08:53.131664 : Epoch  3, Batch    615, Loss  0.766259, Average Loss  0.773844, Time  0.516257
2021-09-22 22:08:53.164058 : Epoch  3, Batch    643, Loss  0.839206, Average Loss  0.773733, Time  0.497844
2021-09-22 22:08:55.304186 : Epoch  3, Batch    644, Loss  0.852894, Average Loss  0.774138, Time  0.513226
2021-09-22 22:08:55.337063 : Epoch  3, Batch    616, Loss  0.774751, Average Loss  0.773815, Time  0.498034
2021-09-22 22:08:57.475683 : Epoch  3, Batch    645, Loss  0.849465, Average Loss  0.774547, Time  0.516045
2021-09-22 22:08:57.510984 : Epoch  3, Batch    617, Loss  0.778459, Average Loss  0.773805, Time  0.508557
2021-09-22 22:08:59.592818 : Epoch  3, Batch    646, Loss  0.818219, Average Loss  0.774783, Time  0.496827
2021-09-22 22:08:59.626305 : Epoch  3, Batch    618, Loss  0.788470, Average Loss  0.773835, Time  0.467525
2021-09-22 22:09:01.719965 : Epoch  3, Batch    647, Loss  0.805980, Average Loss  0.774913, Time  0.496147
2021-09-22 22:09:01.750814 : Epoch  3, Batch    619, Loss  0.767931, Average Loss  0.773839, Time  0.469853
2021-09-22 22:09:03.838477 : Epoch  3, Batch    648, Loss  0.799051, Average Loss  0.775120, Time  0.495174
2021-09-22 22:09:03.873477 : Epoch  3, Batch    620, Loss  0.784431, Average Loss  0.773898, Time  0.466803
2021-09-22 22:09:06.021628 : Epoch  3, Batch    649, Loss  0.792615, Average Loss  0.775282, Time  0.515685
2021-09-22 22:09:06.054876 : Epoch  3, Batch    621, Loss  0.764462, Average Loss  0.773841, Time  0.515893
2021-09-22 22:09:08.190517 : Epoch  3, Batch    650, Loss  0.782898, Average Loss  0.775329, Time  0.515788
2021-09-22 22:09:08.226562 : Epoch  3, Batch    622, Loss  0.775805, Average Loss  0.773897, Time  0.509251
2021-09-22 22:09:10.320500 : Epoch  3, Batch    651, Loss  0.801885, Average Loss  0.775537, Time  0.500740
2021-09-22 22:09:10.351728 : Epoch  3, Batch    623, Loss  0.771588, Average Loss  0.773844, Time  0.470794
2021-09-22 22:09:12.438965 : Epoch  3, Batch    652, Loss  0.791347, Average Loss  0.775555, Time  0.493202
2021-09-22 22:09:12.475002 : Epoch  3, Batch    624, Loss  0.764577, Average Loss  0.773737, Time  0.463947
2021-09-22 22:09:14.540713 : Epoch  3, Batch    653, Loss  0.799110, Average Loss  0.775668, Time  0.468564
2021-09-22 22:09:14.591144 : Epoch  3, Batch    625, Loss  0.769376, Average Loss  0.773686, Time  0.437773
2021-09-22 22:09:16.628522 : Epoch  3, Batch    654, Loss  0.796790, Average Loss  0.775769, Time  0.472318
2021-09-22 22:09:16.680068 : Epoch  3, Batch    626, Loss  0.779123, Average Loss  0.773709, Time  0.442589
2021-09-22 22:09:18.504896 : Epoch  3, Batch    655, Loss  0.795836, Average Loss  0.775852, Time  0.252044
2021-09-22 22:09:20.373002 : Epoch  3, Batch    656, Loss  0.792201, Average Loss  0.775882, Time  0.251131
2021-09-22 22:09:22.321475 : Epoch  3, Batch    657, Loss  0.794879, Average Loss  0.775958, Time  0.326200
2021-09-22 22:09:24.195205 : Epoch  3, Batch    658, Loss  0.796960, Average Loss  0.776078, Time  0.253203
2021-09-22 22:09:26.061810 : Epoch  3, Batch    659, Loss  0.787909, Average Loss  0.776128, Time  0.252683
2021-09-22 22:09:27.926323 : Epoch  3, Batch    660, Loss  0.781503, Average Loss  0.776155, Time  0.253669
2021-09-22 22:09:29.787578 : Epoch  3, Batch    661, Loss  0.785494, Average Loss  0.776205, Time  0.250507
2021-09-22 22:09:31.651669 : Epoch  3, Batch    662, Loss  0.790008, Average Loss  0.776322, Time  0.249135
2021-09-22 22:09:33.525736 : Epoch  3, Batch    663, Loss  0.796947, Average Loss  0.776413, Time  0.249833
2021-09-22 22:09:35.402642 : Epoch  3, Batch    664, Loss  0.791494, Average Loss  0.776520, Time  0.250085
2021-09-22 22:09:37.347924 : Epoch  3, Batch    665, Loss  0.777145, Average Loss  0.776568, Time  0.325688
2021-09-22 22:09:39.215453 : Epoch  3, Batch    666, Loss  0.779459, Average Loss  0.776594, Time  0.250748
2021-09-22 22:09:41.100311 : Epoch  3, Batch    667, Loss  0.767231, Average Loss  0.776616, Time  0.259297
2021-09-22 22:09:42.963921 : Epoch  3, Batch    668, Loss  0.783109, Average Loss  0.776690, Time  0.249670
2021-09-22 22:09:44.833719 : Epoch  3, Batch    669, Loss  0.783199, Average Loss  0.776746, Time  0.251505
2021-09-22 22:09:46.701254 : Epoch  3, Batch    670, Loss  0.781071, Average Loss  0.776791, Time  0.251264
2021-09-22 22:09:48.574008 : Epoch  3, Batch    671, Loss  0.777431, Average Loss  0.776843, Time  0.250288
2021-09-22 22:09:50.516393 : Epoch  3, Batch    672, Loss  0.789770, Average Loss  0.776956, Time  0.326338
2021-09-22 22:09:52.391013 : Epoch  3, Batch    673, Loss  0.776209, Average Loss  0.776952, Time  0.250278
2021-09-22 22:09:54.274831 : Epoch  3, Batch    674, Loss  0.782204, Average Loss  0.777038, Time  0.249889
2021-09-22 22:09:56.154815 : Epoch  3, Batch    675, Loss  0.781862, Average Loss  0.777055, Time  0.249545
2021-09-22 22:09:58.037719 : Epoch  3, Batch    676, Loss  0.775784, Average Loss  0.777065, Time  0.253158
2021-09-22 22:09:59.913089 : Epoch  3, Batch    677, Loss  0.781102, Average Loss  0.777120, Time  0.249340
2021-09-22 22:10:01.796808 : Epoch  3, Batch    678, Loss  0.782779, Average Loss  0.777126, Time  0.250006
2021-09-22 22:10:03.677709 : Epoch  3, Batch    679, Loss  0.778228, Average Loss  0.777122, Time  0.249297
2021-09-22 22:10:05.639172 : Epoch  3, Batch    680, Loss  0.772175, Average Loss  0.777090, Time  0.317301
2021-09-22 22:10:07.508922 : Epoch  3, Batch    681, Loss  0.770507, Average Loss  0.777076, Time  0.250071
2021-09-22 22:10:09.374679 : Epoch  3, Batch    682, Loss  0.777080, Average Loss  0.777042, Time  0.250374
2021-09-22 22:10:11.248306 : Epoch  3, Batch    683, Loss  0.779604, Average Loss  0.777060, Time  0.249273
2021-09-22 22:10:13.131988 : Epoch  3, Batch    684, Loss  0.794286, Average Loss  0.777160, Time  0.249590
2021-09-22 22:10:15.009250 : Epoch  3, Batch    685, Loss  0.770265, Average Loss  0.777127, Time  0.249594
2021-09-22 22:10:16.889879 : Epoch  3, Batch    686, Loss  0.765718, Average Loss  0.777140, Time  0.249746
2021-09-22 22:10:18.838968 : Epoch  3, Batch    687, Loss  0.780039, Average Loss  0.777251, Time  0.327594
2021-09-22 22:10:20.719099 : Epoch  3, Batch    688, Loss  0.770477, Average Loss  0.777232, Time  0.251560
2021-09-22 22:10:22.600243 : Epoch  3, Batch    689, Loss  0.784397, Average Loss  0.777185, Time  0.253220
2021-09-22 22:10:24.471161 : Epoch  3, Batch    690, Loss  0.766429, Average Loss  0.777174, Time  0.255158
2021-09-22 22:10:26.361989 : Epoch  3, Batch    691, Loss  0.778414, Average Loss  0.777174, Time  0.250184
2021-09-22 22:10:27.689904 : CheckPoint: Validation Loss  0.00032503, Best Loss  0.00031159
2021-09-22 22:10:28.234740 : Epoch  3, Batch    692, Loss  0.763416, Average Loss  0.777202, Time  0.250274
2021-09-22 22:10:29.598720 : Epoch  3, Batch    627, Loss  0.764596, Average Loss  0.773675, Time  0.254400
2021-09-22 22:10:30.107923 : Epoch  3, Batch    693, Loss  0.772663, Average Loss  0.777224, Time  0.249797
2021-09-22 22:10:31.495020 : Epoch  3, Batch    628, Loss  0.770684, Average Loss  0.773691, Time  0.256799
2021-09-22 22:10:31.974146 : Epoch  3, Batch    694, Loss  0.766833, Average Loss  0.777193, Time  0.250617
2021-09-22 22:10:33.396907 : Epoch  3, Batch    629, Loss  0.768881, Average Loss  0.773755, Time  0.256852
2021-09-22 22:10:33.846291 : Epoch  3, Batch    695, Loss  0.771966, Average Loss  0.777226, Time  0.252278
2021-09-22 22:10:35.303409 : Epoch  3, Batch    630, Loss  0.773977, Average Loss  0.773691, Time  0.255080
2021-09-22 22:10:35.715841 : Epoch  3, Batch    696, Loss  0.776413, Average Loss  0.777236, Time  0.250472
2021-09-22 22:10:37.213563 : Epoch  3, Batch    631, Loss  0.770930, Average Loss  0.773698, Time  0.255026
2021-09-22 22:10:37.584444 : Epoch  3, Batch    697, Loss  0.775737, Average Loss  0.777288, Time  0.250028
2021-09-22 22:10:39.109612 : Epoch  3, Batch    632, Loss  0.777817, Average Loss  0.773717, Time  0.254951
2021-09-22 22:10:41.012464 : Epoch  3, Batch    633, Loss  0.776287, Average Loss  0.773725, Time  0.255696
2021-09-22 22:10:41.647629 : Epoch  3, Batch    698, Loss  0.786043, Average Loss  0.777379, Time  0.251319
2021-09-22 22:10:42.909602 : Epoch  3, Batch    634, Loss  0.777439, Average Loss  0.773736, Time  0.255081
2021-09-22 22:10:43.532623 : Epoch  3, Batch    699, Loss  0.779926, Average Loss  0.777420, Time  0.251444
2021-09-22 22:10:44.816397 : Epoch  3, Batch    635, Loss  0.784723, Average Loss  0.773744, Time  0.256402
2021-09-22 22:10:45.405432 : Epoch  3, Batch    700, Loss  0.769425, Average Loss  0.777377, Time  0.251293
2021-09-22 22:10:46.707562 : Epoch  3, Batch    636, Loss  0.767821, Average Loss  0.773766, Time  0.254255
2021-09-22 22:10:47.283865 : Epoch  3, Batch    701, Loss  0.768890, Average Loss  0.777339, Time  0.249365
2021-09-22 22:10:48.614703 : Epoch  3, Batch    637, Loss  0.773676, Average Loss  0.773683, Time  0.254133
2021-09-22 22:10:49.153785 : Epoch  3, Batch    702, Loss  0.772642, Average Loss  0.777336, Time  0.250019
2021-09-22 22:10:50.527841 : Epoch  3, Batch    638, Loss  0.766262, Average Loss  0.773704, Time  0.256629
2021-09-22 22:10:51.035352 : Epoch  3, Batch    703, Loss  0.770696, Average Loss  0.777372, Time  0.265087
2021-09-22 22:10:52.418267 : Epoch  3, Batch    639, Loss  0.762671, Average Loss  0.773691, Time  0.253600
2021-09-22 22:10:52.901841 : Epoch  3, Batch    704, Loss  0.781567, Average Loss  0.777419, Time  0.252804
2021-09-22 22:10:54.303464 : Epoch  3, Batch    640, Loss  0.782668, Average Loss  0.773723, Time  0.254896
2021-09-22 22:10:54.768909 : Epoch  3, Batch    705, Loss  0.776414, Average Loss  0.777416, Time  0.250522
2021-09-22 22:10:56.201032 : Epoch  3, Batch    641, Loss  0.779096, Average Loss  0.773732, Time  0.254027
2021-09-22 22:10:56.665101 : Epoch  3, Batch    706, Loss  0.774658, Average Loss  0.777452, Time  0.249323
2021-09-22 22:10:58.092738 : Epoch  3, Batch    642, Loss  0.770376, Average Loss  0.773717, Time  0.253792
2021-09-22 22:10:58.536212 : Epoch  3, Batch    707, Loss  0.769169, Average Loss  0.777352, Time  0.250188
2021-09-22 22:10:59.977722 : Epoch  3, Batch    643, Loss  0.774639, Average Loss  0.773790, Time  0.254775
2021-09-22 22:11:00.407945 : Epoch  3, Batch    708, Loss  0.776666, Average Loss  0.777379, Time  0.249707
2021-09-22 22:11:01.870871 : Epoch  3, Batch    644, Loss  0.779375, Average Loss  0.773832, Time  0.253183
2021-09-22 22:11:02.263690 : Epoch  3, Batch    709, Loss  0.784774, Average Loss  0.777454, Time  0.249187
2021-09-22 22:11:03.727831 : Epoch  3, Batch    645, Loss  0.773796, Average Loss  0.773858, Time  0.253352
2021-09-22 22:11:04.103111 : Epoch  3, Batch    710, Loss  0.772419, Average Loss  0.777445, Time  0.247691
2021-09-22 22:11:05.572704 : Epoch  3, Batch    646, Loss  0.766375, Average Loss  0.773826, Time  0.255984
2021-09-22 22:11:05.923025 : Epoch  3, Batch    711, Loss  0.778942, Average Loss  0.777437, Time  0.249661
2021-09-22 22:11:07.443886 : Epoch  3, Batch    647, Loss  0.774084, Average Loss  0.773827, Time  0.255124
2021-09-22 22:11:07.763321 : Epoch  3, Batch    712, Loss  0.777851, Average Loss  0.777454, Time  0.248464
2021-09-22 22:11:09.322198 : Epoch  3, Batch    648, Loss  0.773646, Average Loss  0.773819, Time  0.267253
2021-09-22 22:11:09.580715 : Epoch  3, Batch    713, Loss  0.784319, Average Loss  0.777509, Time  0.249279
2021-09-22 22:11:11.327675 : Epoch  3, Batch    649, Loss  0.786573, Average Loss  0.773876, Time  0.352934
2021-09-22 22:11:11.469374 : Epoch  3, Batch    714, Loss  0.770793, Average Loss  0.777477, Time  0.306048
2021-09-22 22:11:13.430724 : Epoch  3, Batch    650, Loss  0.767772, Average Loss  0.773845, Time  0.475755
2021-09-22 22:11:13.478675 : Epoch  3, Batch    715, Loss  0.765099, Average Loss  0.777471, Time  0.435623
2021-09-22 22:11:15.551675 : Epoch  3, Batch    651, Loss  0.765553, Average Loss  0.773792, Time  0.516545
2021-09-22 22:11:15.579087 : Epoch  3, Batch    716, Loss  0.776875, Average Loss  0.777522, Time  0.495975
2021-09-22 22:11:17.661340 : Epoch  3, Batch    652, Loss  0.772742, Average Loss  0.773750, Time  0.517717
2021-09-22 22:11:17.693316 : Epoch  3, Batch    717, Loss  0.768048, Average Loss  0.777530, Time  0.506849
2021-09-22 22:11:19.765024 : Epoch  3, Batch    653, Loss  0.782551, Average Loss  0.773768, Time  0.512666
2021-09-22 22:11:19.791530 : Epoch  3, Batch    718, Loss  0.772608, Average Loss  0.777526, Time  0.487051
2021-09-22 22:11:21.870526 : Epoch  3, Batch    654, Loss  0.782305, Average Loss  0.773821, Time  0.518188
2021-09-22 22:11:21.906425 : Epoch  3, Batch    719, Loss  0.777079, Average Loss  0.777481, Time  0.498953
2021-09-22 22:11:24.010728 : Epoch  3, Batch    655, Loss  0.767257, Average Loss  0.773777, Time  0.519453
2021-09-22 22:11:24.046351 : Epoch  3, Batch    720, Loss  0.774024, Average Loss  0.777471, Time  0.509444
2021-09-22 22:11:26.120477 : Epoch  3, Batch    656, Loss  0.774071, Average Loss  0.773787, Time  0.513704
2021-09-22 22:11:26.152376 : Epoch  3, Batch    721, Loss  0.759642, Average Loss  0.777423, Time  0.493823
2021-09-22 22:11:28.258989 : Epoch  3, Batch    657, Loss  0.780483, Average Loss  0.773818, Time  0.521597
2021-09-22 22:11:28.259050 : Epoch  3, Batch    722, Loss  0.781686, Average Loss  0.777448, Time  0.519253
2021-09-22 22:11:28.922737 : CheckPoint: Validation Loss  0.00015109, Best Loss  0.00014923
2021-09-22 22:11:30.387461 : Epoch  3, Batch    723, Loss  0.769090, Average Loss  0.777409, Time  0.516070
2021-09-22 22:11:30.415561 : Epoch  3, Batch    658, Loss  0.775640, Average Loss  0.773804, Time  0.523245
2021-09-22 22:11:32.461909 : Epoch  3, Batch    724, Loss  0.768010, Average Loss  0.777373, Time  0.491826
2021-09-22 22:11:32.497304 : Epoch  3, Batch    659, Loss  0.770232, Average Loss  0.773740, Time  0.462840
2021-09-22 22:11:33.874872 : Epoch  3, Batch    145, Loss  0.868399, Average Loss  0.871756, Time  0.414488
2021-09-22 22:11:34.573281 : Epoch  3, Batch    725, Loss  0.776707, Average Loss  0.777374, Time  0.509405
2021-09-22 22:11:34.595468 : Epoch  3, Batch    660, Loss  0.788241, Average Loss  0.773835, Time  0.493736
2021-09-22 22:11:36.406496 : Epoch  3, Batch    726, Loss  0.772549, Average Loss  0.777386, Time  0.249024
2021-09-22 22:11:36.667257 : Epoch  3, Batch    661, Loss  0.776006, Average Loss  0.773827, Time  0.284852
2021-09-22 22:11:38.695926 : Epoch  3, Batch    662, Loss  0.781858, Average Loss  0.773878, Time  0.282133
2021-09-22 22:11:38.837850 : Epoch  3, Batch    146, Loss  0.876158, Average Loss  0.871773, Time  0.413913
2021-09-22 22:11:40.763027 : Epoch  3, Batch    663, Loss  0.768928, Average Loss  0.773876, Time  0.282213
2021-09-22 22:11:42.817822 : Epoch  3, Batch    664, Loss  0.771124, Average Loss  0.773828, Time  0.279849
2021-09-22 22:11:43.782024 : Epoch  3, Batch    147, Loss  0.883769, Average Loss  0.871846, Time  0.413523
2021-09-22 22:11:44.872533 : Epoch  3, Batch    665, Loss  0.767310, Average Loss  0.773769, Time  0.280199
2021-09-22 22:11:46.919638 : Epoch  3, Batch    666, Loss  0.761179, Average Loss  0.773697, Time  0.281297
2021-09-22 22:11:48.734176 : Epoch  3, Batch    148, Loss  0.878673, Average Loss  0.871748, Time  0.413767
2021-09-22 22:11:48.946176 : Epoch  3, Batch    667, Loss  0.779207, Average Loss  0.773726, Time  0.280326
2021-09-22 22:11:51.006411 : Epoch  3, Batch    668, Loss  0.765999, Average Loss  0.773646, Time  0.281236
2021-09-22 22:11:53.123807 : Epoch  3, Batch    669, Loss  0.762926, Average Loss  0.773597, Time  0.354956
2021-09-22 22:11:53.755580 : Epoch  3, Batch    149, Loss  0.864117, Average Loss  0.871790, Time  0.450230
2021-09-22 22:11:55.189245 : Epoch  3, Batch    670, Loss  0.760737, Average Loss  0.773542, Time  0.281768
2021-09-22 22:11:57.258840 : Epoch  3, Batch    671, Loss  0.791508, Average Loss  0.773672, Time  0.279736
2021-09-22 22:11:58.728733 : Epoch  3, Batch    150, Loss  0.868116, Average Loss  0.871761, Time  0.413746
2021-09-22 22:11:59.331271 : Epoch  3, Batch    672, Loss  0.782396, Average Loss  0.773683, Time  0.279407
2021-09-22 22:12:01.373035 : Epoch  3, Batch    673, Loss  0.772481, Average Loss  0.773689, Time  0.279535
2021-09-22 22:12:03.405318 : Epoch  3, Batch    674, Loss  0.780591, Average Loss  0.773734, Time  0.279511
2021-09-22 22:12:03.692001 : Epoch  3, Batch    151, Loss  0.883142, Average Loss  0.871786, Time  0.413176
2021-09-22 22:12:05.438144 : Epoch  3, Batch    675, Loss  0.770760, Average Loss  0.773730, Time  0.279159
2021-09-22 22:12:07.551148 : Epoch  3, Batch    676, Loss  0.774925, Average Loss  0.773724, Time  0.354520
2021-09-22 22:12:08.656226 : Epoch  3, Batch    152, Loss  0.869033, Average Loss  0.871711, Time  0.413455
2021-09-22 22:12:09.589268 : Epoch  3, Batch    677, Loss  0.775359, Average Loss  0.773681, Time  0.278634
2021-09-22 22:12:11.667732 : Epoch  3, Batch    678, Loss  0.761466, Average Loss  0.773633, Time  0.279205
2021-09-22 22:12:13.601027 : Epoch  3, Batch    153, Loss  0.885275, Average Loss  0.871689, Time  0.413444
2021-09-22 22:12:13.700330 : Epoch  3, Batch    679, Loss  0.775621, Average Loss  0.773646, Time  0.277280
2021-09-22 22:12:15.750525 : Epoch  3, Batch    680, Loss  0.773755, Average Loss  0.773639, Time  0.314513
2021-09-22 22:12:17.783360 : Epoch  3, Batch    681, Loss  0.771061, Average Loss  0.773635, Time  0.283026
2021-09-22 22:12:18.580954 : Epoch  3, Batch    154, Loss  0.874374, Average Loss  0.871627, Time  0.413216
2021-09-22 22:12:19.839369 : Epoch  3, Batch    682, Loss  0.765732, Average Loss  0.773594, Time  0.283011
2021-09-22 22:12:21.918459 : Epoch  3, Batch    683, Loss  0.767036, Average Loss  0.773563, Time  0.281669
2021-09-22 22:12:23.529031 : Epoch  3, Batch    155, Loss  0.878430, Average Loss  0.871602, Time  0.413402
2021-09-22 22:12:23.855518 : Epoch  3, Batch    684, Loss  0.760219, Average Loss  0.773453, Time  0.326630
2021-09-22 22:12:25.929514 : Epoch  3, Batch    685, Loss  0.771033, Average Loss  0.773469, Time  0.280981
2021-09-22 22:12:28.011478 : Epoch  3, Batch    686, Loss  0.770102, Average Loss  0.773484, Time  0.282432
2021-09-22 22:12:28.498804 : Epoch  3, Batch    156, Loss  0.882511, Average Loss  0.871670, Time  0.413366
2021-09-22 22:12:30.085884 : Epoch  3, Batch    687, Loss  0.777207, Average Loss  0.773514, Time  0.278278
2021-09-22 22:12:32.155719 : Epoch  3, Batch    688, Loss  0.775766, Average Loss  0.773540, Time  0.279083
2021-09-22 22:12:33.458945 : Epoch  3, Batch    157, Loss  0.861757, Average Loss  0.871672, Time  0.412977
2021-09-22 22:12:34.181110 : Epoch  3, Batch    689, Loss  0.763758, Average Loss  0.773465, Time  0.276896
2021-09-22 22:12:35.946358 : Epoch  3, Batch    690, Loss  0.769139, Average Loss  0.773490, Time  0.250007
2021-09-22 22:12:37.880827 : Epoch  3, Batch    691, Loss  0.774627, Average Loss  0.773446, Time  0.280608
2021-09-22 22:12:38.443212 : Epoch  3, Batch    158, Loss  0.866852, Average Loss  0.871645, Time  0.414598
2021-09-22 22:12:39.952946 : Epoch  3, Batch    692, Loss  0.756817, Average Loss  0.773350, Time  0.281231
2021-09-22 22:12:42.024005 : Epoch  3, Batch    693, Loss  0.769315, Average Loss  0.773307, Time  0.282572
2021-09-22 22:12:43.459988 : Epoch  3, Batch    159, Loss  0.862882, Average Loss  0.871586, Time  0.452093
2021-09-22 22:12:44.049264 : Epoch  3, Batch    694, Loss  0.789478, Average Loss  0.773431, Time  0.280196
2021-09-22 22:12:45.034685 : CheckPoint: Validation Loss  0.00031417, Best Loss  0.00031417
2021-09-22 22:12:45.063802 : Best Model Updated
2021-09-22 22:12:46.093363 : Epoch  3, Batch    695, Loss  0.782234, Average Loss  0.773461, Time  0.279043
2021-09-22 22:12:47.512004 : Epoch  3, Batch    727, Loss  0.780635, Average Loss  0.777427, Time  0.250710
2021-09-22 22:12:48.138931 : Epoch  3, Batch    696, Loss  0.763815, Average Loss  0.773382, Time  0.280109
2021-09-22 22:12:48.413186 : Epoch  3, Batch    160, Loss  0.890213, Average Loss  0.871603, Time  0.414578
2021-09-22 22:12:49.346515 : Epoch  3, Batch    728, Loss  0.780947, Average Loss  0.777509, Time  0.250259
2021-09-22 22:12:51.174897 : Epoch  3, Batch    729, Loss  0.770444, Average Loss  0.777502, Time  0.249311
2021-09-22 22:12:53.147530 : Epoch  3, Batch    730, Loss  0.764294, Average Loss  0.777484, Time  0.384158
2021-09-22 22:12:53.284959 : Epoch  3, Batch    697, Loss  0.774831, Average Loss  0.773447, Time  0.377537
2021-09-22 22:12:53.351746 : Epoch  3, Batch    161, Loss  0.862844, Average Loss  0.871511, Time  0.413396
2021-09-22 22:12:54.970918 : Epoch  3, Batch    731, Loss  0.769178, Average Loss  0.777480, Time  0.248684
2021-09-22 22:12:55.316709 : Epoch  3, Batch    698, Loss  0.762360, Average Loss  0.773313, Time  0.280288
2021-09-22 22:12:56.785911 : Epoch  3, Batch    732, Loss  0.778517, Average Loss  0.777511, Time  0.250771
2021-09-22 22:12:57.319194 : Epoch  3, Batch    699, Loss  0.772800, Average Loss  0.773282, Time  0.274190
2021-09-22 22:12:58.313669 : Epoch  3, Batch    162, Loss  0.868143, Average Loss  0.871428, Time  0.414495
2021-09-22 22:12:58.658772 : Epoch  3, Batch    733, Loss  0.767345, Average Loss  0.777525, Time  0.251195
2021-09-22 22:12:59.245862 : Epoch  3, Batch    700, Loss  0.760693, Average Loss  0.773223, Time  0.278170
2021-09-22 22:13:00.500434 : Epoch  3, Batch    734, Loss  0.775032, Average Loss  0.777478, Time  0.249938
2021-09-22 22:13:01.269717 : Epoch  3, Batch    701, Loss  0.781203, Average Loss  0.773266, Time  0.259740
2021-09-22 22:13:02.335402 : Epoch  3, Batch    735, Loss  0.789772, Average Loss  0.777562, Time  0.249619
2021-09-22 22:13:03.096440 : Epoch  3, Batch    702, Loss  0.777668, Average Loss  0.773369, Time  0.254244
2021-09-22 22:13:03.276935 : Epoch  3, Batch    163, Loss  0.869965, Average Loss  0.871394, Time  0.413263
2021-09-22 22:13:04.153631 : Epoch  3, Batch    736, Loss  0.776945, Average Loss  0.777544, Time  0.248616
2021-09-22 22:13:04.934084 : Epoch  3, Batch    703, Loss  0.775630, Average Loss  0.773421, Time  0.251807
2021-09-22 22:13:05.979107 : Epoch  3, Batch    737, Loss  0.763687, Average Loss  0.777562, Time  0.250263
2021-09-22 22:13:06.977246 : Epoch  3, Batch    704, Loss  0.772890, Average Loss  0.773478, Time  0.282613
2021-09-22 22:13:07.803910 : Epoch  3, Batch    738, Loss  0.780997, Average Loss  0.777593, Time  0.248326
2021-09-22 22:13:08.226981 : Epoch  3, Batch    164, Loss  0.873105, Average Loss  0.871440, Time  0.413322
2021-09-22 22:13:09.039052 : Epoch  3, Batch    705, Loss  0.779544, Average Loss  0.773471, Time  0.282973
2021-09-22 22:13:09.600916 : Epoch  3, Batch    739, Loss  0.776760, Average Loss  0.777587, Time  0.249289
2021-09-22 22:13:11.064612 : Epoch  3, Batch    706, Loss  0.768168, Average Loss  0.773454, Time  0.258641
2021-09-22 22:13:11.471929 : Epoch  3, Batch    740, Loss  0.781741, Average Loss  0.777606, Time  0.250368
2021-09-22 22:13:12.943603 : Epoch  3, Batch    707, Loss  0.773827, Average Loss  0.773421, Time  0.257339
2021-09-22 22:13:13.177546 : Epoch  3, Batch    165, Loss  0.857685, Average Loss  0.871311, Time  0.412800
2021-09-22 22:13:13.306512 : Epoch  3, Batch    741, Loss  0.778137, Average Loss  0.777591, Time  0.248884
2021-09-22 22:13:14.989558 : Epoch  3, Batch    708, Loss  0.786935, Average Loss  0.773483, Time  0.329672
2021-09-22 22:13:15.150203 : Epoch  3, Batch    742, Loss  0.779992, Average Loss  0.777564, Time  0.283062
2021-09-22 22:13:17.212480 : Epoch  3, Batch    743, Loss  0.783351, Average Loss  0.777583, Time  0.491626
2021-09-22 22:13:17.267540 : Epoch  3, Batch    709, Loss  0.780235, Average Loss  0.773486, Time  0.484266
2021-09-22 22:13:18.136887 : Epoch  3, Batch    166, Loss  0.858157, Average Loss  0.871211, Time  0.414334
2021-09-22 22:13:19.034053 : Epoch  3, Batch    744, Loss  0.774595, Average Loss  0.777561, Time  0.249456
2021-09-22 22:13:19.310543 : Epoch  3, Batch    710, Loss  0.782720, Average Loss  0.773470, Time  0.278388
2021-09-22 22:13:20.878427 : Epoch  3, Batch    745, Loss  0.764833, Average Loss  0.777570, Time  0.249480
2021-09-22 22:13:21.333727 : Epoch  3, Batch    711, Loss  0.767398, Average Loss  0.773392, Time  0.277838
2021-09-22 22:13:22.703213 : Epoch  3, Batch    746, Loss  0.772512, Average Loss  0.777554, Time  0.248693
2021-09-22 22:13:23.083716 : Epoch  3, Batch    167, Loss  0.887039, Average Loss  0.871285, Time  0.413224
2021-09-22 22:13:23.379862 : Epoch  3, Batch    712, Loss  0.768302, Average Loss  0.773337, Time  0.279870
2021-09-22 22:13:24.522251 : Epoch  3, Batch    747, Loss  0.763922, Average Loss  0.777507, Time  0.248950
2021-09-22 22:13:25.392939 : Epoch  3, Batch    713, Loss  0.774668, Average Loss  0.773372, Time  0.278232
2021-09-22 22:13:26.369083 : Epoch  3, Batch    748, Loss  0.776751, Average Loss  0.777514, Time  0.248700
2021-09-22 22:13:26.736945 : Epoch  3, Batch    168, Loss  0.878983, Average Loss  0.871341, Time  0.335065
2021-09-22 22:13:27.408807 : Epoch  3, Batch    714, Loss  0.779484, Average Loss  0.773384, Time  0.279628
2021-09-22 22:13:28.189698 : Epoch  3, Batch    749, Loss  0.768114, Average Loss  0.777480, Time  0.249495
2021-09-22 22:13:29.411476 : Epoch  3, Batch    715, Loss  0.781195, Average Loss  0.773396, Time  0.253959
2021-09-22 22:13:30.026882 : Epoch  3, Batch    750, Loss  0.771085, Average Loss  0.777479, Time  0.250084
2021-09-22 22:13:31.270722 : Epoch  3, Batch    716, Loss  0.765113, Average Loss  0.773312, Time  0.253741
2021-09-22 22:13:31.695714 : Epoch  3, Batch    169, Loss  0.867160, Average Loss  0.871354, Time  0.413297
2021-09-22 22:13:31.832816 : Epoch  3, Batch    751, Loss  0.778342, Average Loss  0.777546, Time  0.249526
2021-09-22 22:13:33.131074 : Epoch  3, Batch    717, Loss  0.787010, Average Loss  0.773390, Time  0.253684
2021-09-22 22:13:33.662124 : Epoch  3, Batch    752, Loss  0.775865, Average Loss  0.777515, Time  0.249378
2021-09-22 22:13:35.001929 : Epoch  3, Batch    718, Loss  0.777300, Average Loss  0.773444, Time  0.254614
2021-09-22 22:13:35.492482 : Epoch  3, Batch    753, Loss  0.762465, Average Loss  0.777450, Time  0.249518
2021-09-22 22:13:36.638918 : Epoch  3, Batch    170, Loss  0.867643, Average Loss  0.871375, Time  0.413271
2021-09-22 22:13:36.818499 : Epoch  3, Batch    719, Loss  0.761650, Average Loss  0.773351, Time  0.254874
2021-09-22 22:13:37.319745 : Epoch  3, Batch    754, Loss  0.780345, Average Loss  0.777471, Time  0.249232
2021-09-22 22:13:38.660641 : Epoch  3, Batch    720, Loss  0.767955, Average Loss  0.773369, Time  0.252704
2021-09-22 22:13:39.129110 : Epoch  3, Batch    755, Loss  0.766025, Average Loss  0.777435, Time  0.248400
2021-09-22 22:13:40.497836 : Epoch  3, Batch    721, Loss  0.778032, Average Loss  0.773332, Time  0.251698
2021-09-22 22:13:40.959073 : Epoch  3, Batch    756, Loss  0.773974, Average Loss  0.777466, Time  0.249094
2021-09-22 22:13:41.590762 : Epoch  3, Batch    171, Loss  0.879421, Average Loss  0.871381, Time  0.414187
2021-09-22 22:13:42.549491 : Epoch  3, Batch    722, Loss  0.780877, Average Loss  0.773366, Time  0.280986
2021-09-22 22:13:42.786614 : Epoch  3, Batch    757, Loss  0.767199, Average Loss  0.777500, Time  0.253640
2021-09-22 22:13:44.833212 : Epoch  3, Batch    758, Loss  0.774978, Average Loss  0.777486, Time  0.512100
2021-09-22 22:13:44.857757 : Epoch  3, Batch    723, Loss  0.783061, Average Loss  0.773465, Time  0.547403
2021-09-22 22:13:46.531931 : Epoch  3, Batch    172, Loss  0.874141, Average Loss  0.871414, Time  0.414548
2021-09-22 22:13:46.770642 : Epoch  3, Batch    759, Loss  0.765651, Average Loss  0.777423, Time  0.348611
2021-09-22 22:13:46.937060 : Epoch  3, Batch    724, Loss  0.774058, Average Loss  0.773447, Time  0.340889
2021-09-22 22:13:48.576287 : Epoch  3, Batch    760, Loss  0.780410, Average Loss  0.777432, Time  0.248628
2021-09-22 22:13:48.960411 : Epoch  3, Batch    725, Loss  0.781339, Average Loss  0.773487, Time  0.279145
2021-09-22 22:13:50.401952 : Epoch  3, Batch    761, Loss  0.776492, Average Loss  0.777494, Time  0.248532
2021-09-22 22:13:50.996818 : Epoch  3, Batch    726, Loss  0.770899, Average Loss  0.773529, Time  0.282149
2021-09-22 22:13:51.483745 : Epoch  3, Batch    173, Loss  0.859936, Average Loss  0.871401, Time  0.414351
2021-09-22 22:13:52.217888 : Epoch  3, Batch    762, Loss  0.772565, Average Loss  0.777494, Time  0.250637
2021-09-22 22:13:54.069738 : Epoch  3, Batch    763, Loss  0.767312, Average Loss  0.777428, Time  0.250585
2021-09-22 22:13:55.890503 : Epoch  3, Batch    764, Loss  0.775888, Average Loss  0.777453, Time  0.248845
2021-09-22 22:13:56.428792 : Epoch  3, Batch    174, Loss  0.857744, Average Loss  0.871363, Time  0.413918
2021-09-22 22:13:57.720279 : Epoch  3, Batch    765, Loss  0.774195, Average Loss  0.777492, Time  0.249496
2021-09-22 22:13:59.558229 : Epoch  3, Batch    766, Loss  0.783013, Average Loss  0.777529, Time  0.249826
2021-09-22 22:14:01.388355 : Epoch  3, Batch    767, Loss  0.768986, Average Loss  0.777506, Time  0.248342
2021-09-22 22:14:01.398106 : Epoch  3, Batch    175, Loss  0.853265, Average Loss  0.871331, Time  0.414591
2021-09-22 22:14:03.216860 : Epoch  3, Batch    768, Loss  0.766628, Average Loss  0.777438, Time  0.248369
2021-09-22 22:14:05.038574 : Epoch  3, Batch    769, Loss  0.776444, Average Loss  0.777455, Time  0.250145
2021-09-22 22:14:06.384821 : Epoch  3, Batch    176, Loss  0.861418, Average Loss  0.871274, Time  0.413318
2021-09-22 22:14:06.864435 : Epoch  3, Batch    770, Loss  0.775410, Average Loss  0.777495, Time  0.249300
2021-09-22 22:14:08.686817 : Epoch  3, Batch    771, Loss  0.776350, Average Loss  0.777544, Time  0.249757
2021-09-22 22:14:10.529017 : Epoch  3, Batch    772, Loss  0.769688, Average Loss  0.777457, Time  0.250352
2021-09-22 22:14:11.322970 : Epoch  3, Batch    177, Loss  0.866455, Average Loss  0.871312, Time  0.413346
2021-09-22 22:14:12.360915 : Epoch  3, Batch    773, Loss  0.773780, Average Loss  0.777444, Time  0.249583
2021-09-22 22:14:14.207663 : Epoch  3, Batch    774, Loss  0.785565, Average Loss  0.777530, Time  0.250601
2021-09-22 22:14:16.046162 : Epoch  3, Batch    775, Loss  0.777875, Average Loss  0.777540, Time  0.249969
2021-09-22 22:14:16.327774 : Epoch  3, Batch    178, Loss  0.863503, Average Loss  0.871330, Time  0.456120
2021-09-22 22:14:17.885542 : Epoch  3, Batch    776, Loss  0.768257, Average Loss  0.777501, Time  0.249404
2021-09-22 22:14:19.716342 : Epoch  3, Batch    777, Loss  0.771321, Average Loss  0.777485, Time  0.249146
2021-09-22 22:14:21.277771 : Epoch  3, Batch    179, Loss  0.867119, Average Loss  0.871250, Time  0.413256
2021-09-22 22:14:21.571923 : Epoch  3, Batch    778, Loss  0.778567, Average Loss  0.777550, Time  0.248846
2021-09-22 22:14:23.385396 : Epoch  3, Batch    779, Loss  0.768141, Average Loss  0.777558, Time  0.248761
2021-09-22 22:14:25.203905 : Epoch  3, Batch    780, Loss  0.775301, Average Loss  0.777546, Time  0.249548
2021-09-22 22:14:26.230772 : Epoch  3, Batch    180, Loss  0.864966, Average Loss  0.871224, Time  0.423576
2021-09-22 22:14:27.031353 : Epoch  3, Batch    781, Loss  0.767556, Average Loss  0.777542, Time  0.249417
2021-09-22 22:14:28.864637 : Epoch  3, Batch    782, Loss  0.773763, Average Loss  0.777550, Time  0.248888
2021-09-22 22:14:30.719965 : Epoch  3, Batch    783, Loss  0.767830, Average Loss  0.777490, Time  0.249688
2021-09-22 22:14:31.184730 : Epoch  3, Batch    181, Loss  0.862761, Average Loss  0.871165, Time  0.412881
2021-09-22 22:14:32.546448 : Epoch  3, Batch    784, Loss  0.767686, Average Loss  0.777457, Time  0.249184
2021-09-22 22:14:34.379511 : Epoch  3, Batch    785, Loss  0.779159, Average Loss  0.777454, Time  0.249765
2021-09-22 22:14:36.142019 : Epoch  3, Batch    182, Loss  0.866542, Average Loss  0.871152, Time  0.413832
2021-09-22 22:14:36.198011 : Epoch  3, Batch    786, Loss  0.761877, Average Loss  0.777374, Time  0.250509
2021-09-22 22:14:38.008885 : Epoch  3, Batch    787, Loss  0.769435, Average Loss  0.777366, Time  0.248691
2021-09-22 22:14:38.036900 : Saving Model after 3-th Epoch.
2021-09-22 22:14:38.887803 : Epoch Finished.
2021-09-22 22:14:41.103946 : Batch Shuffled
    183, Loss  0.865792, Average Loss  0.871231, Time  0.413154
2021-09-22 22:14:42.942199 : Epoch  4, Batch      1, Loss  0.774693, Average Loss  0.777375, Time  0.256484
2021-09-22 22:14:44.743895 : Epoch  4, Batch      2, Loss  0.783352, Average Loss  0.777397, Time  0.247933
2021-09-22 22:14:46.126827 : Epoch  3, Batch    184, Loss  0.873195, Average Loss  0.871184, Time  0.413282
2021-09-22 22:14:46.550395 : Epoch  4, Batch      3, Loss  0.758457, Average Loss  0.777312, Time  0.249052
2021-09-22 22:14:48.380279 : Epoch  4, Batch      4, Loss  0.767276, Average Loss  0.777296, Time  0.250128
2021-09-22 22:14:50.222042 : Epoch  4, Batch      5, Loss  0.776207, Average Loss  0.777297, Time  0.249117
2021-09-22 22:14:51.077767 : Epoch  3, Batch    185, Loss  0.872906, Average Loss  0.871155, Time  0.414098
2021-09-22 22:14:52.051404 : Epoch  4, Batch      6, Loss  0.755862, Average Loss  0.777210, Time  0.248392
2021-09-22 22:14:53.869217 : Epoch  4, Batch      7, Loss  0.765673, Average Loss  0.777135, Time  0.249056
2021-09-22 22:14:55.773771 : Epoch  4, Batch      8, Loss  0.774856, Average Loss  0.777150, Time  0.323820
2021-09-22 22:14:56.022933 : Epoch  3, Batch    186, Loss  0.866857, Average Loss  0.871103, Time  0.414475
2021-09-22 22:14:57.679673 : Epoch  4, Batch      9, Loss  0.777300, Average Loss  0.777231, Time  0.325522
2021-09-22 22:14:59.553305 : Epoch  4, Batch     10, Loss  0.780282, Average Loss  0.777259, Time  0.326676
2021-09-22 22:15:01.020810 : Epoch  3, Batch    187, Loss  0.862099, Average Loss  0.871052, Time  0.456139
2021-09-22 22:15:01.408974 : Epoch  4, Batch     11, Loss  0.770312, Average Loss  0.777207, Time  0.250266
2021-09-22 22:15:03.227384 : Epoch  4, Batch     12, Loss  0.767197, Average Loss  0.777170, Time  0.247634
2021-09-22 22:15:05.028719 : Epoch  4, Batch     13, Loss  0.778755, Average Loss  0.777212, Time  0.250675
2021-09-22 22:15:06.012803 : Epoch  3, Batch    188, Loss  0.857029, Average Loss  0.870958, Time  0.414477
2021-09-22 22:15:06.871027 : Epoch  4, Batch     14, Loss  0.769687, Average Loss  0.777178, Time  0.249036
2021-09-22 22:15:07.073063 : CheckPoint: Validation Loss  0.00032742, Best Loss  0.00031159
2021-09-22 22:15:08.660971 : Epoch  4, Batch     15, Loss  0.771369, Average Loss  0.777206, Time  0.248149
2021-09-22 22:15:09.143138 : Epoch  3, Batch    727, Loss  0.777545, Average Loss  0.773549, Time  0.280488
2021-09-22 22:15:10.454951 : Epoch  4, Batch     16, Loss  0.774737, Average Loss  0.777245, Time  0.248119
2021-09-22 22:15:10.971761 : Epoch  3, Batch    189, Loss  0.891818, Average Loss  0.871061, Time  0.413211
2021-09-22 22:15:11.008414 : Epoch  3, Batch    728, Loss  0.775864, Average Loss  0.773611, Time  0.254281
2021-09-22 22:15:12.229065 : Epoch  4, Batch     17, Loss  0.777794, Average Loss  0.777232, Time  0.246664
2021-09-22 22:15:12.852277 : Epoch  3, Batch    729, Loss  0.761993, Average Loss  0.773577, Time  0.249087
2021-09-22 22:15:14.079306 : Epoch  4, Batch     18, Loss  0.772553, Average Loss  0.777294, Time  0.250029
2021-09-22 22:15:14.647752 : Epoch  3, Batch    730, Loss  0.774692, Average Loss  0.773590, Time  0.252841
2021-09-22 22:15:15.877042 : Epoch  4, Batch     19, Loss  0.766438, Average Loss  0.777277, Time  0.246987
2021-09-22 22:15:15.954957 : Epoch  3, Batch    190, Loss  0.870421, Average Loss  0.871092, Time  0.413387
2021-09-22 22:15:16.520244 : Epoch  3, Batch    731, Loss  0.772483, Average Loss  0.773577, Time  0.252215
2021-09-22 22:15:17.702722 : Epoch  4, Batch     20, Loss  0.775803, Average Loss  0.777281, Time  0.249736
2021-09-22 22:15:18.513371 : Epoch  3, Batch    732, Loss  0.776671, Average Loss  0.773549, Time  0.281780
2021-09-22 22:15:19.522594 : Epoch  4, Batch     21, Loss  0.774511, Average Loss  0.777278, Time  0.248474
2021-09-22 22:15:20.369252 : Epoch  3, Batch    733, Loss  0.771055, Average Loss  0.773529, Time  0.253788
2021-09-22 22:15:20.898795 : Epoch  3, Batch    191, Loss  0.879899, Average Loss  0.871165, Time  0.413123
2021-09-22 22:15:21.329080 : Epoch  4, Batch     22, Loss  0.775793, Average Loss  0.777317, Time  0.248143
2021-09-22 22:15:22.214938 : Epoch  3, Batch    734, Loss  0.771375, Average Loss  0.773553, Time  0.253138
2021-09-22 22:15:23.145469 : Epoch  4, Batch     23, Loss  0.781325, Average Loss  0.777283, Time  0.249071
2021-09-22 22:15:24.069225 : Epoch  3, Batch    735, Loss  0.768698, Average Loss  0.773555, Time  0.252704
2021-09-22 22:15:24.961128 : Epoch  4, Batch     24, Loss  0.774913, Average Loss  0.777295, Time  0.249374
2021-09-22 22:15:25.861287 : Epoch  3, Batch    192, Loss  0.877489, Average Loss  0.871237, Time  0.413482
2021-09-22 22:15:25.895985 : Epoch  3, Batch    736, Loss  0.766881, Average Loss  0.773495, Time  0.252496
2021-09-22 22:15:26.786943 : Epoch  4, Batch     25, Loss  0.771754, Average Loss  0.777349, Time  0.248148
2021-09-22 22:15:27.731822 : Epoch  3, Batch    737, Loss  0.771191, Average Loss  0.773524, Time  0.258544
2021-09-22 22:15:28.622632 : Epoch  4, Batch     26, Loss  0.757478, Average Loss  0.777303, Time  0.248492
2021-09-22 22:15:29.722158 : Epoch  3, Batch    738, Loss  0.771223, Average Loss  0.773572, Time  0.280520
2021-09-22 22:15:30.472335 : Epoch  4, Batch     27, Loss  0.780119, Average Loss  0.777325, Time  0.249408
2021-09-22 22:15:30.807039 : Epoch  3, Batch    193, Loss  0.871827, Average Loss  0.871167, Time  0.413275
2021-09-22 22:15:31.765278 : Epoch  3, Batch    739, Loss  0.786553, Average Loss  0.773709, Time  0.284513
2021-09-22 22:15:32.287705 : Epoch  4, Batch     28, Loss  0.762563, Average Loss  0.777257, Time  0.248691
2021-09-22 22:15:33.815541 : Epoch  3, Batch    740, Loss  0.771057, Average Loss  0.773697, Time  0.279717
2021-09-22 22:15:34.096183 : Epoch  4, Batch     29, Loss  0.772576, Average Loss  0.777235, Time  0.249052
2021-09-22 22:15:35.750017 : Epoch  3, Batch    194, Loss  0.866174, Average Loss  0.871104, Time  0.413162
2021-09-22 22:15:36.091432 : Epoch  3, Batch    741, Loss  0.781251, Average Loss  0.773753, Time  0.500084
2021-09-22 22:15:36.116802 : Epoch  4, Batch     30, Loss  0.777384, Average Loss  0.777309, Time  0.451794
2021-09-22 22:15:38.203716 : Epoch  4, Batch     31, Loss  0.769675, Average Loss  0.777289, Time  0.517105
2021-09-22 22:15:38.237479 : Epoch  3, Batch    742, Loss  0.773501, Average Loss  0.773666, Time  0.520937
2021-09-22 22:15:40.240870 : Epoch  4, Batch     32, Loss  0.776176, Average Loss  0.777271, Time  0.461520
2021-09-22 22:15:40.299944 : Epoch  3, Batch    743, Loss  0.769447, Average Loss  0.773590, Time  0.435943
2021-09-22 22:15:40.711970 : Epoch  3, Batch    195, Loss  0.871250, Average Loss  0.871078, Time  0.413147
2021-09-22 22:15:42.300284 : Epoch  4, Batch     33, Loss  0.778218, Average Loss  0.777277, Time  0.487967
2021-09-22 22:15:42.342438 : Epoch  3, Batch    744, Loss  0.777601, Average Loss  0.773603, Time  0.455386
2021-09-22 22:15:44.420073 : Epoch  4, Batch     34, Loss  0.769648, Average Loss  0.777250, Time  0.515875
2021-09-22 22:15:44.448442 : Epoch  3, Batch    745, Loss  0.773953, Average Loss  0.773577, Time  0.510854
2021-09-22 22:15:45.707200 : Epoch  3, Batch    196, Loss  0.891400, Average Loss  0.871227, Time  0.458460
2021-09-22 22:15:46.497313 : Epoch  4, Batch     35, Loss  0.759209, Average Loss  0.777222, Time  0.506129
2021-09-22 22:15:46.523102 : Epoch  3, Batch    746, Loss  0.769226, Average Loss  0.773535, Time  0.488781
2021-09-22 22:15:48.564349 : Epoch  4, Batch     36, Loss  0.786026, Average Loss  0.777382, Time  0.499377
2021-09-22 22:15:48.595246 : Epoch  3, Batch    747, Loss  0.776625, Average Loss  0.773520, Time  0.475369
2021-09-22 22:15:50.662813 : Epoch  4, Batch     37, Loss  0.781409, Average Loss  0.777444, Time  0.514406
2021-09-22 22:15:50.693405 : Epoch  3, Batch    748, Loss  0.773979, Average Loss  0.773490, Time  0.509293
2021-09-22 22:15:52.692993 : Epoch  4, Batch     38, Loss  0.776568, Average Loss  0.777502, Time  0.461921
2021-09-22 22:15:52.748147 : Epoch  3, Batch    749, Loss  0.777015, Average Loss  0.773546, Time  0.434485
2021-09-22 22:15:54.763590 : Epoch  4, Batch     39, Loss  0.773911, Average Loss  0.777486, Time  0.492935
2021-09-22 22:15:54.793378 : Epoch  3, Batch    750, Loss  0.780390, Average Loss  0.773493, Time  0.462351
2021-09-22 22:15:55.642866 : Epoch  3, Batch    198, Loss  0.881175, Average Loss  0.871160, Time  0.415295
2021-09-22 22:15:56.627615 : Epoch  3, Batch    751, Loss  0.758253, Average Loss  0.773345, Time  0.253609
2021-09-22 22:15:58.475489 : Epoch  3, Batch    752, Loss  0.771233, Average Loss  0.773367, Time  0.254898
2021-09-22 22:16:00.392687 : Epoch  3, Batch    753, Loss  0.767046, Average Loss  0.773325, Time  0.328542
2021-09-22 22:16:00.601817 : Epoch  3, Batch    199, Loss  0.852465, Average Loss  0.871154, Time  0.413851
2021-09-22 22:16:02.240480 : Epoch  3, Batch    754, Loss  0.780316, Average Loss  0.773376, Time  0.254594
2021-09-22 22:16:04.122785 : Epoch  3, Batch    755, Loss  0.767119, Average Loss  0.773357, Time  0.254042
2021-09-22 22:16:05.547834 : Epoch  3, Batch    200, Loss  0.878946, Average Loss  0.871156, Time  0.413297
2021-09-22 22:16:06.024097 : Epoch  3, Batch    756, Loss  0.774028, Average Loss  0.773377, Time  0.257499
2021-09-22 22:16:07.895124 : Epoch  3, Batch    757, Loss  0.774205, Average Loss  0.773378, Time  0.253218
2021-09-22 22:16:10.050866 : Epoch  3, Batch    758, Loss  0.763450, Average Loss  0.773320, Time  0.357643
2021-09-22 22:16:10.505662 : Epoch  3, Batch    201, Loss  0.869322, Average Loss  0.871162, Time  0.414465
2021-09-22 22:16:12.113313 : Epoch  3, Batch    759, Loss  0.766899, Average Loss  0.773332, Time  0.279964
2021-09-22 22:16:14.178160 : Epoch  3, Batch    760, Loss  0.767805, Average Loss  0.773286, Time  0.283033
2021-09-22 22:16:15.464085 : Epoch  3, Batch    202, Loss  0.865991, Average Loss  0.871064, Time  0.413342
2021-09-22 22:16:16.224509 : Epoch  3, Batch    761, Loss  0.774073, Average Loss  0.773270, Time  0.257630
2021-09-22 22:16:18.202192 : Epoch  3, Batch    762, Loss  0.759593, Average Loss  0.773194, Time  0.330614
2021-09-22 22:16:20.075695 : Epoch  3, Batch    763, Loss  0.775276, Average Loss  0.773187, Time  0.255371
2021-09-22 22:16:20.444027 : Epoch  3, Batch    203, Loss  0.859670, Average Loss  0.871063, Time  0.412813
2021-09-22 22:16:21.959862 : Epoch  3, Batch    764, Loss  0.772859, Average Loss  0.773233, Time  0.254655
2021-09-22 22:16:23.845046 : Epoch  3, Batch    765, Loss  0.779771, Average Loss  0.773288, Time  0.253129
2021-09-22 22:16:25.390764 : Epoch  3, Batch    204, Loss  0.864302, Average Loss  0.870997, Time  0.413065
2021-09-22 22:16:25.738159 : Epoch  3, Batch    766, Loss  0.780298, Average Loss  0.773318, Time  0.254102
2021-09-22 22:16:27.650630 : Epoch  3, Batch    767, Loss  0.776239, Average Loss  0.773321, Time  0.255195
2021-09-22 22:16:29.608075 : Epoch  3, Batch    768, Loss  0.768457, Average Loss  0.773331, Time  0.328310
2021-09-22 22:16:30.356006 : Epoch  3, Batch    205, Loss  0.887760, Average Loss  0.871075, Time  0.413236
2021-09-22 22:16:31.497892 : Epoch  3, Batch    769, Loss  0.796698, Average Loss  0.773440, Time  0.255926
2021-09-22 22:16:33.566663 : Epoch  3, Batch    770, Loss  0.771522, Average Loss  0.773472, Time  0.258630
2021-09-22 22:16:35.355753 : Epoch  3, Batch    206, Loss  0.885076, Average Loss  0.871152, Time  0.448455
2021-09-22 22:16:35.455915 : Epoch  3, Batch    771, Loss  0.780151, Average Loss  0.773525, Time  0.254640
2021-09-22 22:16:37.342374 : Epoch  3, Batch    772, Loss  0.788467, Average Loss  0.773620, Time  0.255771
2021-09-22 22:16:39.307848 : Epoch  3, Batch    773, Loss  0.776483, Average Loss  0.773584, Time  0.331027
2021-09-22 22:16:40.308880 : Epoch  3, Batch    207, Loss  0.876959, Average Loss  0.871223, Time  0.413419
2021-09-22 22:16:41.222434 : Epoch  3, Batch    774, Loss  0.770158, Average Loss  0.773563, Time  0.256025
2021-09-22 22:16:43.331120 : Epoch  3, Batch    775, Loss  0.775618, Average Loss  0.773578, Time  0.283203
2021-09-22 22:16:45.230200 : Epoch  3, Batch    776, Loss  0.781957, Average Loss  0.773632, Time  0.255334
2021-09-22 22:16:45.282737 : Epoch  3, Batch    208, Loss  0.873876, Average Loss  0.871169, Time  0.413496
2021-09-22 22:16:47.128634 : Epoch  3, Batch    777, Loss  0.771404, Average Loss  0.773677, Time  0.255121
2021-09-22 22:16:49.088625 : Epoch  3, Batch    778, Loss  0.770765, Average Loss  0.773648, Time  0.329203
2021-09-22 22:16:50.238755 : Epoch  3, Batch    209, Loss  0.876414, Average Loss  0.871159, Time  0.414386
2021-09-22 22:16:51.190626 : Epoch  3, Batch    779, Loss  0.775057, Average Loss  0.773645, Time  0.284319
2021-09-22 22:16:53.241993 : Epoch  3, Batch    780, Loss  0.790834, Average Loss  0.773709, Time  0.257682
2021-09-22 22:16:55.204788 : Epoch  3, Batch    210, Loss  0.866548, Average Loss  0.871145, Time  0.414387
2021-09-22 22:16:55.322260 : Epoch  3, Batch    781, Loss  0.769484, Average Loss  0.773660, Time  0.284750
2021-09-22 22:16:57.378840 : Epoch  3, Batch    782, Loss  0.773372, Average Loss  0.773621, Time  0.259369
2021-09-22 22:16:59.252980 : Epoch  3, Batch    783, Loss  0.786948, Average Loss  0.773669, Time  0.253916
2021-09-22 22:17:00.179014 : Epoch  3, Batch    211, Loss  0.875299, Average Loss  0.871165, Time  0.414002
2021-09-22 22:17:01.119443 : Epoch  3, Batch    784, Loss  0.764519, Average Loss  0.773635, Time  0.253664
2021-09-22 22:17:03.004034 : Epoch  3, Batch    785, Loss  0.783562, Average Loss  0.773647, Time  0.255725
2021-09-22 22:17:04.023674 : CheckPoint: Validation Loss  0.00032641, Best Loss  0.00031417
2021-09-22 22:17:04.864786 : Epoch  3, Batch    786, Loss  0.769967, Average Loss  0.773617, Time  0.251462
2021-09-22 22:17:05.144037 : Epoch  3, Batch    212, Loss  0.863038, Average Loss  0.871164, Time  0.413946
2021-09-22 22:17:05.877228 : Epoch  4, Batch     40, Loss  0.767835, Average Loss  0.777465, Time  0.250191
2021-09-22 22:17:06.744851 : Epoch  3, Batch    787, Loss  0.787319, Average Loss  0.773728, Time  0.255651
2021-09-22 22:17:06.773531 : Saving Model after 3-th Epoch.
2021-09-22 22:17:07.346674 : Epoch Finished.
2021-09-22 22:17:07.703263 : Epoch  4, Batch     41, Loss  0.767781, Average Loss  0.777414, Time  0.248981
2021-09-22 22:17:09.546097 : Epoch  4, Batch     42, Loss  0.771468, Average Loss  0.777420, Time  0.250308
2021-09-22 22:17:09.664645 : Batch Shuffled
2021-09-22 22:17:10.095209 : Epoch  3, Batch    213, Loss  0.876241, Average Loss  0.871158, Time  0.418470
2021-09-22 22:17:11.505839 : Epoch  4, Batch     43, Loss  0.775217, Average Loss  0.777424, Time  0.375473
2021-09-22 22:17:11.627254 : Epoch  4, Batch      1, Loss  0.776289, Average Loss  0.773720, Time  0.347628
2021-09-22 22:17:13.342593 : Epoch  4, Batch     44, Loss  0.771627, Average Loss  0.777443, Time  0.249762
2021-09-22 22:17:13.727831 : Epoch  4, Batch      2, Loss  0.760988, Average Loss  0.773685, Time  0.283592
2021-09-22 22:17:15.043959 : Epoch  3, Batch    214, Loss  0.874891, Average Loss  0.871174, Time  0.413591
2021-09-22 22:17:15.175109 : Epoch  4, Batch     45, Loss  0.770518, Average Loss  0.777423, Time  0.249797
2021-09-22 22:17:15.822182 : Epoch  4, Batch      3, Loss  0.772475, Average Loss  0.773715, Time  0.283408
2021-09-22 22:17:17.014958 : Epoch  4, Batch     46, Loss  0.774670, Average Loss  0.777420, Time  0.250649
2021-09-22 22:17:17.917444 : Epoch  4, Batch      4, Loss  0.767726, Average Loss  0.773686, Time  0.281935
2021-09-22 22:17:18.858047 : Epoch  4, Batch     47, Loss  0.768813, Average Loss  0.777371, Time  0.251327
2021-09-22 22:17:19.993300 : Epoch  4, Batch      5, Loss  0.761800, Average Loss  0.773572, Time  0.282933
2021-09-22 22:17:20.062390 : Epoch  3, Batch    215, Loss  0.867760, Average Loss  0.871165, Time  0.467644
2021-09-22 22:17:20.700114 : Epoch  4, Batch     48, Loss  0.777341, Average Loss  0.777357, Time  0.249850
2021-09-22 22:17:22.077027 : Epoch  4, Batch      6, Loss  0.759640, Average Loss  0.773455, Time  0.278686
2021-09-22 22:17:22.552597 : Epoch  4, Batch     49, Loss  0.755326, Average Loss  0.777264, Time  0.250519
2021-09-22 22:17:24.182837 : Epoch  4, Batch      7, Loss  0.782003, Average Loss  0.773523, Time  0.281890
2021-09-22 22:17:24.385871 : Epoch  4, Batch     50, Loss  0.778830, Average Loss  0.777246, Time  0.267699
2021-09-22 22:17:25.026020 : Epoch  3, Batch    216, Loss  0.868721, Average Loss  0.871146, Time  0.415895
2021-09-22 22:17:26.495212 : Epoch  4, Batch     51, Loss  0.773360, Average Loss  0.777267, Time  0.519775
2021-09-22 22:17:26.522126 : Epoch  4, Batch      8, Loss  0.771075, Average Loss  0.773510, Time  0.524090
2021-09-22 22:17:28.324928 : Epoch  4, Batch     52, Loss  0.768197, Average Loss  0.777238, Time  0.250625
2021-09-22 22:17:28.636791 : Epoch  4, Batch      9, Loss  0.778811, Average Loss  0.773528, Time  0.283058
2021-09-22 22:17:29.986037 : Epoch  3, Batch    217, Loss  0.879642, Average Loss  0.871142, Time  0.412795
2021-09-22 22:17:30.176456 : Epoch  4, Batch     53, Loss  0.768437, Average Loss  0.777196, Time  0.250327
2021-09-22 22:17:30.715718 : Epoch  4, Batch     10, Loss  0.766409, Average Loss  0.773476, Time  0.279582
2021-09-22 22:17:32.022059 : Epoch  4, Batch     54, Loss  0.761451, Average Loss  0.776934, Time  0.250548
2021-09-22 22:17:32.789121 : Epoch  4, Batch     11, Loss  0.778800, Average Loss  0.773544, Time  0.278736
2021-09-22 22:17:33.858994 : Epoch  4, Batch     55, Loss  0.772230, Average Loss  0.776886, Time  0.248548
2021-09-22 22:17:34.851152 : Epoch  4, Batch     12, Loss  0.774571, Average Loss  0.773563, Time  0.260056
2021-09-22 22:17:34.939712 : Epoch  3, Batch    218, Loss  0.866825, Average Loss  0.871129, Time  0.413194
2021-09-22 22:17:35.696646 : Epoch  4, Batch     56, Loss  0.780426, Average Loss  0.776592, Time  0.250591
2021-09-22 22:17:36.943599 : Epoch  4, Batch     13, Loss  0.779439, Average Loss  0.773597, Time  0.283951
2021-09-22 22:17:37.531120 : Epoch  4, Batch     57, Loss  0.767294, Average Loss  0.776164, Time  0.249043
2021-09-22 22:17:38.842061 : Epoch  4, Batch     14, Loss  0.773694, Average Loss  0.773616, Time  0.253293
2021-09-22 22:17:39.368810 : Epoch  4, Batch     58, Loss  0.788992, Average Loss  0.775862, Time  0.249406
2021-09-22 22:17:39.883740 : Epoch  3, Batch    219, Loss  0.872151, Average Loss  0.871112, Time  0.412984
2021-09-22 22:17:40.717530 : Epoch  4, Batch     15, Loss  0.784503, Average Loss  0.773678, Time  0.255369
2021-09-22 22:17:41.236421 : Epoch  4, Batch     59, Loss  0.767327, Average Loss  0.775607, Time  0.249083
2021-09-22 22:17:42.593173 : Epoch  4, Batch     16, Loss  0.777179, Average Loss  0.773719, Time  0.254207
2021-09-22 22:17:43.079264 : Epoch  4, Batch     60, Loss  0.766560, Average Loss  0.775410, Time  0.250352
2021-09-22 22:17:44.463896 : Epoch  4, Batch     17, Loss  0.767057, Average Loss  0.773705, Time  0.262957
2021-09-22 22:17:44.821189 : Epoch  3, Batch    220, Loss  0.863719, Average Loss  0.871031, Time  0.413191
2021-09-22 22:17:44.929122 : Epoch  4, Batch     61, Loss  0.771847, Average Loss  0.775274, Time  0.249881
2021-09-22 22:17:46.350650 : Epoch  4, Batch     18, Loss  0.776194, Average Loss  0.773764, Time  0.253633
2021-09-22 22:17:46.768580 : Epoch  4, Batch     62, Loss  0.776938, Average Loss  0.775196, Time  0.250404
2021-09-22 22:17:48.231961 : Epoch  4, Batch     19, Loss  0.774677, Average Loss  0.773814, Time  0.256280
2021-09-22 22:17:48.600330 : Epoch  4, Batch     63, Loss  0.777206, Average Loss  0.775167, Time  0.248908
2021-09-22 22:17:49.756206 : Epoch  3, Batch    221, Loss  0.869196, Average Loss  0.871041, Time  0.412966
2021-09-22 22:17:50.494483 : Epoch  4, Batch     20, Loss  0.767777, Average Loss  0.773776, Time  0.454994
2021-09-22 22:17:50.564379 : Epoch  4, Batch     64, Loss  0.772454, Average Loss  0.775020, Time  0.393294
2021-09-22 22:17:52.647841 : Epoch  4, Batch     21, Loss  0.772005, Average Loss  0.773767, Time  0.518187
2021-09-22 22:17:52.674466 : Epoch  4, Batch     65, Loss  0.762840, Average Loss  0.774878, Time  0.495938
2021-09-22 22:17:54.707714 : Epoch  3, Batch    222, Loss  0.871953, Average Loss  0.871029, Time  0.412679
2021-09-22 22:17:54.775761 : Epoch  4, Batch     66, Loss  0.782188, Average Loss  0.774793, Time  0.512732
2021-09-22 22:17:54.806672 : Epoch  4, Batch     22, Loss  0.775466, Average Loss  0.773738, Time  0.498556
2021-09-22 22:17:56.631510 : Epoch  4, Batch     67, Loss  0.784143, Average Loss  0.774730, Time  0.250360
2021-09-22 22:17:56.887675 : Epoch  4, Batch     23, Loss  0.777370, Average Loss  0.773776, Time  0.260001
2021-09-22 22:17:58.452557 : Epoch  4, Batch     68, Loss  0.769538, Average Loss  0.774598, Time  0.249151
2021-09-22 22:17:58.783893 : Epoch  4, Batch     24, Loss  0.768831, Average Loss  0.773748, Time  0.255981
2021-09-22 22:17:59.665176 : Epoch  3, Batch    223, Loss  0.869520, Average Loss  0.871041, Time  0.415171
2021-09-22 22:18:00.270536 : Epoch  4, Batch     69, Loss  0.772460, Average Loss  0.774500, Time  0.251583
2021-09-22 22:18:00.682040 : Epoch  4, Batch     25, Loss  0.771071, Average Loss  0.773722, Time  0.255235
2021-09-22 22:18:02.148928 : Epoch  4, Batch     70, Loss  0.772236, Average Loss  0.774386, Time  0.253131
2021-09-22 22:18:02.533445 : Epoch  4, Batch     26, Loss  0.772546, Average Loss  0.773659, Time  0.253704
2021-09-22 22:18:04.025115 : Epoch  4, Batch     71, Loss  0.772501, Average Loss  0.774264, Time  0.251364
2021-09-22 22:18:04.375144 : Epoch  4, Batch     27, Loss  0.773302, Average Loss  0.773655, Time  0.254657
2021-09-22 22:18:04.670143 : Epoch  3, Batch    224, Loss  0.867138, Average Loss  0.870980, Time  0.457963
2021-09-22 22:18:05.888410 : Epoch  4, Batch     72, Loss  0.777252, Average Loss  0.774211, Time  0.250373
2021-09-22 22:18:06.232859 : Epoch  4, Batch     28, Loss  0.772020, Average Loss  0.773684, Time  0.253876
2021-09-22 22:18:07.722296 : Epoch  4, Batch     73, Loss  0.767524, Average Loss  0.774141, Time  0.250275
2021-09-22 22:18:08.117817 : Epoch  4, Batch     29, Loss  0.776620, Average Loss  0.773693, Time  0.254775
2021-09-22 22:18:09.578180 : Epoch  4, Batch     74, Loss  0.770273, Average Loss  0.774065, Time  0.250387
2021-09-22 22:18:09.618929 : Epoch  3, Batch    225, Loss  0.861232, Average Loss  0.870962, Time  0.413522
2021-09-22 22:18:10.011350 : Epoch  4, Batch     30, Loss  0.779369, Average Loss  0.773698, Time  0.254985
2021-09-22 22:18:11.429123 : Epoch  4, Batch     75, Loss  0.776345, Average Loss  0.773996, Time  0.250758
2021-09-22 22:18:11.896516 : Epoch  4, Batch     31, Loss  0.778685, Average Loss  0.773649, Time  0.256298
2021-09-22 22:18:13.284372 : Epoch  4, Batch     76, Loss  0.771468, Average Loss  0.773869, Time  0.250982
2021-09-22 22:18:13.961380 : Epoch  4, Batch     32, Loss  0.764012, Average Loss  0.773629, Time  0.258224
2021-09-22 22:18:14.571805 : Epoch  3, Batch    226, Loss  0.880806, Average Loss  0.871083, Time  0.413905
2021-09-22 22:18:15.127548 : Epoch  4, Batch     77, Loss  0.772261, Average Loss  0.773773, Time  0.250972
2021-09-22 22:18:15.862162 : Epoch  4, Batch     33, Loss  0.774723, Average Loss  0.773580, Time  0.256618
2021-09-22 22:18:17.002523 : Epoch  4, Batch     78, Loss  0.776086, Average Loss  0.773768, Time  0.250936
2021-09-22 22:18:17.740398 : Epoch  4, Batch     34, Loss  0.780569, Average Loss  0.773661, Time  0.254901
2021-09-22 22:18:18.851443 : Epoch  4, Batch     79, Loss  0.770538, Average Loss  0.773723, Time  0.249834
2021-09-22 22:18:19.522734 : Epoch  3, Batch    227, Loss  0.875923, Average Loss  0.871152, Time  0.412917
2021-09-22 22:18:19.670190 : Epoch  4, Batch     35, Loss  0.775632, Average Loss  0.773660, Time  0.257684
2021-09-22 22:18:20.697304 : Epoch  4, Batch     80, Loss  0.776412, Average Loss  0.773769, Time  0.250816
2021-09-22 22:18:21.581931 : Epoch  4, Batch     36, Loss  0.774474, Average Loss  0.773675, Time  0.257513
2021-09-22 22:18:22.533486 : Epoch  4, Batch     81, Loss  0.760136, Average Loss  0.773654, Time  0.249364
2021-09-22 22:18:23.507163 : Epoch  4, Batch     37, Loss  0.770914, Average Loss  0.773706, Time  0.279450
2021-09-22 22:18:24.359158 : Epoch  4, Batch     82, Loss  0.772174, Average Loss  0.773599, Time  0.249196
2021-09-22 22:18:24.470936 : Epoch  3, Batch    228, Loss  0.868341, Average Loss  0.871104, Time  0.412617
2021-09-22 22:18:25.615049 : Epoch  4, Batch     38, Loss  0.769375, Average Loss  0.773706, Time  0.284061
2021-09-22 22:18:26.195710 : Epoch  4, Batch     83, Loss  0.774919, Average Loss  0.773568, Time  0.250186
2021-09-22 22:18:27.707705 : Epoch  4, Batch     39, Loss  0.762987, Average Loss  0.773626, Time  0.258456
2021-09-22 22:18:28.017381 : Epoch  4, Batch     84, Loss  0.762171, Average Loss  0.773492, Time  0.248696
2021-09-22 22:18:29.452737 : Epoch  3, Batch    229, Loss  0.875697, Average Loss  0.871096, Time  0.412856
2021-09-22 22:18:29.861946 : Epoch  4, Batch     85, Loss  0.774580, Average Loss  0.773416, Time  0.250417
2021-09-22 22:18:31.681015 : Epoch  4, Batch     86, Loss  0.777960, Average Loss  0.773425, Time  0.249185
2021-09-22 22:18:33.517435 : Epoch  4, Batch     87, Loss  0.775610, Average Loss  0.773392, Time  0.251259
2021-09-22 22:18:34.390040 : Epoch  3, Batch    230, Loss  0.852757, Average Loss  0.871054, Time  0.412700
2021-09-22 22:18:35.435915 : Epoch  4, Batch     88, Loss  0.778872, Average Loss  0.773377, Time  0.326619
2021-09-22 22:18:37.290670 : Epoch  4, Batch     89, Loss  0.776076, Average Loss  0.773378, Time  0.250171
2021-09-22 22:18:39.122660 : Epoch  4, Batch     90, Loss  0.759626, Average Loss  0.773271, Time  0.249107
2021-09-22 22:18:39.342731 : Epoch  3, Batch    231, Loss  0.861716, Average Loss  0.871006, Time  0.412779
2021-09-22 22:18:40.968410 : Epoch  4, Batch     91, Loss  0.768738, Average Loss  0.773201, Time  0.251104
2021-09-22 22:18:42.818269 : Epoch  4, Batch     92, Loss  0.772011, Average Loss  0.773169, Time  0.249892
2021-09-22 22:18:44.296932 : Epoch  3, Batch    232, Loss  0.876565, Average Loss  0.871039, Time  0.421984
2021-09-22 22:18:44.644948 : Epoch  4, Batch     93, Loss  0.773702, Average Loss  0.773177, Time  0.248908
2021-09-22 22:18:46.479862 : Epoch  4, Batch     94, Loss  0.782186, Average Loss  0.773236, Time  0.250320
2021-09-22 22:18:48.302773 : Epoch  4, Batch     95, Loss  0.765802, Average Loss  0.773179, Time  0.249577
2021-09-22 22:18:49.255020 : Epoch  3, Batch    233, Loss  0.869135, Average Loss  0.871022, Time  0.412539
2021-09-22 22:18:50.233468 : Epoch  4, Batch     96, Loss  0.780168, Average Loss  0.773182, Time  0.326638
2021-09-22 22:18:52.090930 : Epoch  4, Batch     97, Loss  0.775579, Average Loss  0.773088, Time  0.250112
2021-09-22 22:18:53.932188 : Epoch  4, Batch     98, Loss  0.791309, Average Loss  0.773194, Time  0.250248
2021-09-22 22:18:54.252976 : Epoch  3, Batch    234, Loss  0.867203, Average Loss  0.870938, Time  0.448512
2021-09-22 22:18:55.772495 : Epoch  4, Batch     99, Loss  0.783064, Average Loss  0.773280, Time  0.250306
2021-09-22 22:18:57.618952 : Epoch  4, Batch    100, Loss  0.762814, Average Loss  0.773194, Time  0.249651
2021-09-22 22:18:59.193750 : Epoch  3, Batch    235, Loss  0.875012, Average Loss  0.870985, Time  0.412517
2021-09-22 22:18:59.453549 : Epoch  4, Batch    101, Loss  0.771371, Average Loss  0.773199, Time  0.248896
2021-09-22 22:19:01.307759 : Epoch  4, Batch    102, Loss  0.762734, Average Loss  0.773090, Time  0.248800
2021-09-22 22:19:03.148772 : Epoch  4, Batch    103, Loss  0.771296, Average Loss  0.773115, Time  0.249918
2021-09-22 22:19:04.139902 : Epoch  3, Batch    236, Loss  0.871130, Average Loss  0.870947, Time  0.413749
2021-09-22 22:19:05.077022 : Epoch  4, Batch    104, Loss  0.771698, Average Loss  0.773081, Time  0.325645
2021-09-22 22:19:06.928470 : Epoch  4, Batch    105, Loss  0.771258, Average Loss  0.773120, Time  0.248792
2021-09-22 22:19:08.772953 : Epoch  4, Batch    106, Loss  0.768745, Average Loss  0.773101, Time  0.250101
2021-09-22 22:19:09.092378 : Epoch  3, Batch    237, Loss  0.875267, Average Loss  0.870992, Time  0.414214
2021-09-22 22:19:10.610404 : Epoch  4, Batch    107, Loss  0.776710, Average Loss  0.773150, Time  0.248284
2021-09-22 22:19:12.415503 : Epoch  4, Batch    108, Loss  0.767295, Average Loss  0.773127, Time  0.247912
2021-09-22 22:19:14.078921 : Epoch  3, Batch    238, Loss  0.874997, Average Loss  0.870972, Time  0.412902
2021-09-22 22:19:14.246240 : Epoch  4, Batch    109, Loss  0.768809, Average Loss  0.773089, Time  0.249524
2021-09-22 22:19:18.321175 : Epoch  4, Batch    110, Loss  0.777387, Average Loss  0.773097, Time  0.249825
2021-09-22 22:19:19.039725 : Epoch  3, Batch    239, Loss  0.864128, Average Loss  0.870917, Time  0.413661
2021-09-22 22:19:20.171164 : Epoch  4, Batch    111, Loss  0.779814, Average Loss  0.773066, Time  0.250057
2021-09-22 22:19:22.026062 : Epoch  4, Batch    112, Loss  0.768304, Average Loss  0.773008, Time  0.250225
2021-09-22 22:19:23.867017 : Epoch  4, Batch    113, Loss  0.759370, Average Loss  0.772957, Time  0.248978
2021-09-22 22:19:23.991978 : Epoch  3, Batch    240, Loss  0.878258, Average Loss  0.871029, Time  0.412817
2021-09-22 22:19:25.712067 : Epoch  4, Batch    114, Loss  0.775576, Average Loss  0.772991, Time  0.250930
2021-09-22 22:19:27.568010 : Epoch  4, Batch    115, Loss  0.769235, Average Loss  0.772974, Time  0.250681
2021-09-22 22:19:28.914997 : Epoch  3, Batch    241, Loss  0.873493, Average Loss  0.870989, Time  0.412463
2021-09-22 22:19:29.405640 : Epoch  4, Batch    116, Loss  0.773127, Average Loss  0.772986, Time  0.249969
2021-09-22 22:19:31.320629 : Epoch  4, Batch    117, Loss  0.763599, Average Loss  0.772896, Time  0.326505
2021-09-22 22:19:33.175927 : Epoch  4, Batch    118, Loss  0.771868, Average Loss  0.772873, Time  0.249682
2021-09-22 22:19:33.864960 : Epoch  3, Batch    242, Loss  0.875815, Average Loss  0.870976, Time  0.413061
2021-09-22 22:19:35.042775 : Epoch  4, Batch    119, Loss  0.776796, Average Loss  0.772884, Time  0.250051
2021-09-22 22:19:36.887094 : Epoch  4, Batch    120, Loss  0.778632, Average Loss  0.772931, Time  0.247142
2021-09-22 22:19:38.292482 : CheckPoint: Validation Loss  0.00032260, Best Loss  0.00031159
2021-09-22 22:19:38.702801 : Epoch  4, Batch    121, Loss  0.779547, Average Loss  0.772946, Time  0.250245
2021-09-22 22:19:38.867862 : Epoch  3, Batch    243, Loss  0.874838, Average Loss  0.870923, Time  0.461629
2021-09-22 22:19:40.168301 : Epoch  4, Batch     40, Loss  0.775770, Average Loss  0.773681, Time  0.254584
2021-09-22 22:19:40.559383 : Epoch  4, Batch    122, Loss  0.758819, Average Loss  0.772816, Time  0.250659
2021-09-22 22:19:42.392459 : Epoch  4, Batch     41, Loss  0.770719, Average Loss  0.773682, Time  0.415594
2021-09-22 22:19:42.487036 : Epoch  4, Batch    123, Loss  0.777040, Average Loss  0.772839, Time  0.353097
2021-09-22 22:19:43.802470 : Epoch  3, Batch    244, Loss  0.878531, Average Loss  0.870982, Time  0.413076
2021-09-22 22:19:44.450694 : Epoch  4, Batch    124, Loss  0.772596, Average Loss  0.772807, Time  0.382316
2021-09-22 22:19:44.592031 : Epoch  4, Batch     42, Loss  0.769083, Average Loss  0.773683, Time  0.379148
2021-09-22 22:19:46.286715 : Epoch  4, Batch    125, Loss  0.766121, Average Loss  0.772749, Time  0.249909
2021-09-22 22:19:46.666845 : Epoch  4, Batch     43, Loss  0.772265, Average Loss  0.773674, Time  0.280531
2021-09-22 22:19:48.146282 : Epoch  4, Batch    126, Loss  0.787149, Average Loss  0.772763, Time  0.250014
2021-09-22 22:19:48.537161 : Epoch  4, Batch     44, Loss  0.760555, Average Loss  0.773622, Time  0.254549
2021-09-22 22:19:50.017517 : Epoch  4, Batch    127, Loss  0.771532, Average Loss  0.772767, Time  0.252062
2021-09-22 22:19:50.497133 : Epoch  4, Batch     45, Loss  0.772860, Average Loss  0.773597, Time  0.284936
2021-09-22 22:19:51.853185 : Epoch  4, Batch    128, Loss  0.768942, Average Loss  0.772786, Time  0.250683
2021-09-22 22:19:52.595359 : Epoch  4, Batch     46, Loss  0.765342, Average Loss  0.773543, Time  0.282883
2021-09-22 22:19:53.681937 : Epoch  4, Batch    129, Loss  0.776346, Average Loss  0.772783, Time  0.250404
2021-09-22 22:19:54.677838 : Epoch  4, Batch     47, Loss  0.777253, Average Loss  0.773542, Time  0.282559
2021-09-22 22:19:55.553387 : Epoch  4, Batch    130, Loss  0.781410, Average Loss  0.772850, Time  0.250065
2021-09-22 22:19:56.584033 : Epoch  4, Batch     48, Loss  0.781125, Average Loss  0.773524, Time  0.256095
2021-09-22 22:19:57.398372 : Epoch  4, Batch    131, Loss  0.781920, Average Loss  0.772897, Time  0.249534
2021-09-22 22:19:58.489813 : Epoch  4, Batch     49, Loss  0.784053, Average Loss  0.773605, Time  0.255371
2021-09-22 22:19:59.243102 : Epoch  4, Batch    132, Loss  0.766715, Average Loss  0.772845, Time  0.250542
2021-09-22 22:20:00.390073 : Epoch  4, Batch     50, Loss  0.779414, Average Loss  0.773634, Time  0.256663
2021-09-22 22:20:01.081643 : Epoch  4, Batch    133, Loss  0.779778, Average Loss  0.772874, Time  0.246971
2021-09-22 22:20:02.301025 : Epoch  4, Batch     51, Loss  0.772610, Average Loss  0.773665, Time  0.255174
2021-09-22 22:20:02.926163 : Epoch  4, Batch    134, Loss  0.763367, Average Loss  0.772892, Time  0.249525
2021-09-22 22:20:04.193012 : Epoch  4, Batch     52, Loss  0.776035, Average Loss  0.773732, Time  0.257274
2021-09-22 22:20:04.771675 : Epoch  4, Batch    135, Loss  0.779180, Average Loss  0.772880, Time  0.249448
2021-09-22 22:20:06.059954 : Epoch  4, Batch     53, Loss  0.769463, Average Loss  0.773666, Time  0.255316
2021-09-22 22:20:06.615122 : Epoch  4, Batch    136, Loss  0.772843, Average Loss  0.772898, Time  0.250470
2021-09-22 22:20:07.950286 : Epoch  4, Batch     54, Loss  0.772884, Average Loss  0.773635, Time  0.254697
2021-09-22 22:20:08.483828 : Epoch  4, Batch    137, Loss  0.777737, Average Loss  0.772947, Time  0.250154
2021-09-22 22:20:09.849955 : Epoch  4, Batch     55, Loss  0.774252, Average Loss  0.773654, Time  0.255517
2021-09-22 22:20:10.319071 : Epoch  4, Batch    138, Loss  0.778146, Average Loss  0.772954, Time  0.248388
2021-09-22 22:20:11.777039 : Epoch  4, Batch     56, Loss  0.770178, Average Loss  0.773632, Time  0.254647
2021-09-22 22:20:12.141649 : Epoch  4, Batch    139, Loss  0.770517, Average Loss  0.772944, Time  0.249721
2021-09-22 22:20:13.654989 : Epoch  4, Batch     57, Loss  0.778882, Average Loss  0.773630, Time  0.254665
2021-09-22 22:20:15.535208 : Epoch  4, Batch     58, Loss  0.775909, Average Loss  0.773640, Time  0.254692
2021-09-22 22:20:17.511323 : Epoch  4, Batch     59, Loss  0.777849, Average Loss  0.773698, Time  0.257310
2021-09-22 22:20:19.487406 : Epoch  4, Batch     60, Loss  0.770377, Average Loss  0.773679, Time  0.331060
2021-09-22 22:20:21.392788 : Epoch  4, Batch     61, Loss  0.777843, Average Loss  0.773700, Time  0.256775
2021-09-22 22:20:23.287324 : Epoch  4, Batch     62, Loss  0.776827, Average Loss  0.773651, Time  0.256596
2021-09-22 22:20:25.352207 : Epoch  4, Batch     63, Loss  0.784986, Average Loss  0.773737, Time  0.258549
2021-09-22 22:20:27.244301 : Epoch  4, Batch     64, Loss  0.774580, Average Loss  0.773783, Time  0.254817
2021-09-22 22:20:29.197310 : Epoch  4, Batch     65, Loss  0.783262, Average Loss  0.773835, Time  0.332728
2021-09-22 22:20:31.277624 : Epoch  4, Batch     66, Loss  0.779422, Average Loss  0.773820, Time  0.283046
2021-09-22 22:20:33.351565 : Epoch  4, Batch     67, Loss  0.773359, Average Loss  0.773775, Time  0.258356
2021-09-22 22:20:35.446837 : Epoch  4, Batch     68, Loss  0.776967, Average Loss  0.773823, Time  0.283170
2021-09-22 22:20:37.552619 : Epoch  4, Batch     69, Loss  0.767540, Average Loss  0.773791, Time  0.283383
2021-09-22 22:20:39.481171 : Epoch  4, Batch     70, Loss  0.792715, Average Loss  0.773852, Time  0.281189
2021-09-22 22:20:41.548640 : Epoch  4, Batch     71, Loss  0.778118, Average Loss  0.773864, Time  0.258319
2021-09-22 22:20:43.442435 : Epoch  4, Batch     72, Loss  0.774493, Average Loss  0.773886, Time  0.256166
2021-09-22 22:20:45.396181 : Epoch  4, Batch     73, Loss  0.775003, Average Loss  0.773819, Time  0.329867
2021-09-22 22:20:47.279254 : Epoch  4, Batch     74, Loss  0.775180, Average Loss  0.773815, Time  0.253664
2021-09-22 22:20:49.166072 : Epoch  4, Batch     75, Loss  0.767821, Average Loss  0.773745, Time  0.255250
2021-09-22 22:20:51.237116 : Epoch  4, Batch     76, Loss  0.770438, Average Loss  0.773753, Time  0.256976
2021-09-22 22:20:53.127924 : Epoch  4, Batch     77, Loss  0.758320, Average Loss  0.773689, Time  0.256694
2021-09-22 22:20:55.092291 : Epoch  4, Batch     78, Loss  0.756367, Average Loss  0.773634, Time  0.321049
2021-09-22 22:20:56.992044 : Epoch  4, Batch     79, Loss  0.766444, Average Loss  0.773660, Time  0.255870
2021-09-22 22:20:58.895012 : Epoch  4, Batch     80, Loss  0.775623, Average Loss  0.773642, Time  0.257591
2021-09-22 22:21:00.992676 : Epoch  4, Batch     81, Loss  0.768843, Average Loss  0.773656, Time  0.283453
2021-09-22 22:21:03.042127 : Epoch  4, Batch     82, Loss  0.775019, Average Loss  0.773717, Time  0.258055
2021-09-22 22:21:05.104679 : Epoch  4, Batch     83, Loss  0.766233, Average Loss  0.773744, Time  0.258817
2021-09-22 22:21:07.009374 : Epoch  4, Batch     84, Loss  0.775203, Average Loss  0.773663, Time  0.254449
2021-09-22 22:21:08.888575 : Epoch  4, Batch     85, Loss  0.766690, Average Loss  0.773584, Time  0.254113
2021-09-22 22:21:10.776681 : Epoch  4, Batch     86, Loss  0.767864, Average Loss  0.773561, Time  0.255668
2021-09-22 22:21:12.931530 : Epoch  4, Batch     87, Loss  0.784098, Average Loss  0.773579, Time  0.356893
2021-09-22 22:21:15.013088 : Epoch  4, Batch     88, Loss  0.766804, Average Loss  0.773559, Time  0.282546
2021-09-22 22:21:16.893644 : Epoch  4, Batch     89, Loss  0.770642, Average Loss  0.773538, Time  0.254264
2021-09-22 22:21:18.788950 : Epoch  4, Batch     90, Loss  0.769308, Average Loss  0.773507, Time  0.254749
2021-09-22 22:21:20.670781 : Epoch  4, Batch     91, Loss  0.763339, Average Loss  0.773517, Time  0.254923
2021-09-22 22:21:21.502907 : CheckPoint: Validation Loss  0.00032689, Best Loss  0.00031417
2021-09-22 22:21:22.524198 : Epoch  4, Batch     92, Loss  0.783683, Average Loss  0.773557, Time  0.254692
2021-09-22 22:21:23.360666 : Epoch  4, Batch    140, Loss  0.768363, Average Loss  0.772883, Time  0.250798
2021-09-22 22:21:24.393717 : Epoch  4, Batch     93, Loss  0.764959, Average Loss  0.773513, Time  0.257751
2021-09-22 22:21:25.201127 : Epoch  4, Batch    141, Loss  0.775190, Average Loss  0.772854, Time  0.248680
2021-09-22 22:21:26.282992 : Epoch  4, Batch     94, Loss  0.769083, Average Loss  0.773503, Time  0.255894
2021-09-22 22:21:27.051116 : Epoch  4, Batch    142, Loss  0.764881, Average Loss  0.772826, Time  0.249609
2021-09-22 22:21:28.348307 : Epoch  4, Batch     95, Loss  0.778127, Average Loss  0.773565, Time  0.260080
2021-09-22 22:21:28.899414 : Epoch  4, Batch    143, Loss  0.770984, Average Loss  0.772860, Time  0.249065
2021-09-22 22:21:30.420110 : Epoch  4, Batch     96, Loss  0.779324, Average Loss  0.773627, Time  0.258894
2021-09-22 22:21:30.750109 : Epoch  4, Batch    144, Loss  0.780072, Average Loss  0.772914, Time  0.249338
2021-09-22 22:21:32.660960 : Epoch  4, Batch     97, Loss  0.763086, Average Loss  0.773641, Time  0.435690
2021-09-22 22:21:32.741523 : Epoch  4, Batch    145, Loss  0.766993, Average Loss  0.772856, Time  0.392379
2021-09-22 22:21:34.807778 : Epoch  4, Batch     98, Loss  0.772502, Average Loss  0.773648, Time  0.513666
2021-09-22 22:21:34.836611 : Epoch  4, Batch    146, Loss  0.779925, Average Loss  0.772919, Time  0.485891
2021-09-22 22:21:36.723839 : Epoch  4, Batch    147, Loss  0.765688, Average Loss  0.772873, Time  0.300012
2021-09-22 22:21:36.929855 : Epoch  4, Batch     99, Loss  0.779029, Average Loss  0.773693, Time  0.310915
2021-09-22 22:21:38.564877 : Epoch  4, Batch    148, Loss  0.777436, Average Loss  0.772811, Time  0.249820
2021-09-22 22:21:38.990655 : Epoch  4, Batch    100, Loss  0.771722, Average Loss  0.773665, Time  0.258525
2021-09-22 22:21:40.397985 : Epoch  4, Batch    149, Loss  0.770798, Average Loss  0.772780, Time  0.249473
2021-09-22 22:21:41.095707 : Epoch  4, Batch    101, Loss  0.770065, Average Loss  0.773637, Time  0.282928
2021-09-22 22:21:42.237741 : Epoch  4, Batch    150, Loss  0.765564, Average Loss  0.772790, Time  0.249044
2021-09-22 22:21:43.181925 : Epoch  4, Batch    102, Loss  0.766913, Average Loss  0.773653, Time  0.264556
2021-09-22 22:21:44.067468 : Epoch  4, Batch    151, Loss  0.775018, Average Loss  0.772760, Time  0.249841
2021-09-22 22:21:45.256672 : Epoch  4, Batch    103, Loss  0.775106, Average Loss  0.773683, Time  0.259951
2021-09-22 22:21:45.898784 : Epoch  4, Batch    152, Loss  0.759789, Average Loss  0.772675, Time  0.249753
2021-09-22 22:21:47.350105 : Epoch  4, Batch    104, Loss  0.768825, Average Loss  0.773654, Time  0.281506
2021-09-22 22:21:47.754243 : Epoch  4, Batch    153, Loss  0.769503, Average Loss  0.772614, Time  0.250136
2021-09-22 22:21:49.563678 : Epoch  4, Batch    105, Loss  0.764070, Average Loss  0.773690, Time  0.383790
2021-09-22 22:21:49.684537 : Epoch  4, Batch    154, Loss  0.757760, Average Loss  0.772512, Time  0.340492
2021-09-22 22:21:51.709561 : Epoch  4, Batch    106, Loss  0.765256, Average Loss  0.773670, Time  0.495292
2021-09-22 22:21:51.744798 : Epoch  4, Batch    155, Loss  0.773831, Average Loss  0.772481, Time  0.453857
2021-09-22 22:21:53.850573 : Epoch  4, Batch    156, Loss  0.772331, Average Loss  0.772426, Time  0.518088
2021-09-22 22:21:53.879637 : Epoch  4, Batch    107, Loss  0.779155, Average Loss  0.773618, Time  0.517761
2021-09-22 22:21:55.958013 : Epoch  4, Batch    157, Loss  0.774256, Average Loss  0.772424, Time  0.500366
2021-09-22 22:21:55.985876 : Epoch  4, Batch    108, Loss  0.772318, Average Loss  0.773568, Time  0.478830
2021-09-22 22:21:58.064158 : Epoch  4, Batch    158, Loss  0.763556, Average Loss  0.772418, Time  0.500113
2021-09-22 22:21:58.090115 : Epoch  4, Batch    109, Loss  0.789078, Average Loss  0.773695, Time  0.479366
2021-09-22 22:21:59.900008 : Epoch  4, Batch    159, Loss  0.772356, Average Loss  0.772417, Time  0.249669
2021-09-22 22:22:01.742202 : Epoch  4, Batch    160, Loss  0.774386, Average Loss  0.772469, Time  0.248613
2021-09-22 22:22:02.272966 : Epoch  4, Batch    110, Loss  0.758957, Average Loss  0.773615, Time  0.256034
2021-09-22 22:22:03.570692 : Epoch  4, Batch    161, Loss  0.768833, Average Loss  0.772430, Time  0.250154
2021-09-22 22:22:04.160485 : Epoch  4, Batch    111, Loss  0.762746, Average Loss  0.773617, Time  0.254128
2021-09-22 22:22:05.427793 : Epoch  4, Batch    162, Loss  0.767959, Average Loss  0.772429, Time  0.250475
2021-09-22 22:22:06.256172 : Epoch  4, Batch    112, Loss  0.765551, Average Loss  0.773581, Time  0.282526
2021-09-22 22:22:07.294113 : Epoch  4, Batch    163, Loss  0.773164, Average Loss  0.772439, Time  0.249387
2021-09-22 22:22:08.350673 : Epoch  4, Batch    113, Loss  0.773738, Average Loss  0.773646, Time  0.283454
2021-09-22 22:22:09.146340 : Epoch  4, Batch    164, Loss  0.777716, Average Loss  0.772436, Time  0.249307
2021-09-22 22:22:10.430390 : Epoch  4, Batch    114, Loss  0.765803, Average Loss  0.773569, Time  0.281440
2021-09-22 22:22:10.993968 : Epoch  4, Batch    165, Loss  0.772254, Average Loss  0.772418, Time  0.250386
2021-09-22 22:22:12.471664 : Epoch  4, Batch    115, Loss  0.770531, Average Loss  0.773533, Time  0.258419
2021-09-22 22:22:12.825753 : Epoch  4, Batch    166, Loss  0.768142, Average Loss  0.772447, Time  0.249172
2021-09-22 22:22:14.361569 : Epoch  4, Batch    116, Loss  0.775450, Average Loss  0.773533, Time  0.254467
2021-09-22 22:22:14.663515 : Epoch  4, Batch    167, Loss  0.783012, Average Loss  0.772460, Time  0.250424
2021-09-22 22:22:16.661733 : Epoch  4, Batch    117, Loss  0.776067, Average Loss  0.773548, Time  0.495523
2021-09-22 22:22:16.697664 : Epoch  4, Batch    168, Loss  0.779104, Average Loss  0.772525, Time  0.453209
2021-09-22 22:22:18.793337 : Epoch  4, Batch    169, Loss  0.773136, Average Loss  0.772521, Time  0.512844
2021-09-22 22:22:18.825808 : Epoch  4, Batch    118, Loss  0.765097, Average Loss  0.773476, Time  0.499700
2021-09-22 22:22:20.635954 : Epoch  4, Batch    170, Loss  0.767879, Average Loss  0.772524, Time  0.248807
2021-09-22 22:22:20.915384 : Epoch  4, Batch    119, Loss  0.781228, Average Loss  0.773542, Time  0.284007
2021-09-22 22:22:22.465905 : Epoch  4, Batch    171, Loss  0.760986, Average Loss  0.772454, Time  0.249256
2021-09-22 22:22:23.013626 : Epoch  4, Batch    120, Loss  0.772768, Average Loss  0.773536, Time  0.283967
2021-09-22 22:22:24.302521 : Epoch  4, Batch    172, Loss  0.776935, Average Loss  0.772511, Time  0.249145
2021-09-22 22:22:25.089178 : Epoch  4, Batch    121, Loss  0.772782, Average Loss  0.773465, Time  0.280897
2021-09-22 22:22:26.142749 : Epoch  4, Batch    173, Loss  0.772272, Average Loss  0.772470, Time  0.248255
2021-09-22 22:22:27.154258 : Epoch  4, Batch    122, Loss  0.772052, Average Loss  0.773425, Time  0.259164
2021-09-22 22:22:27.981406 : Epoch  4, Batch    174, Loss  0.762024, Average Loss  0.772398, Time  0.249286
2021-09-22 22:22:29.234510 : Epoch  4, Batch    123, Loss  0.776319, Average Loss  0.773393, Time  0.283112
2021-09-22 22:22:29.831733 : Epoch  4, Batch    175, Loss  0.774252, Average Loss  0.772406, Time  0.251284
2021-09-22 22:22:31.325174 : Epoch  4, Batch    124, Loss  0.772961, Average Loss  0.773420, Time  0.283262
2021-09-22 22:22:31.683208 : Epoch  4, Batch    176, Loss  0.761669, Average Loss  0.772378, Time  0.249624
2021-09-22 22:22:33.553504 : Epoch  4, Batch    125, Loss  0.776561, Average Loss  0.773462, Time  0.416916
2021-09-22 22:22:33.645068 : Epoch  4, Batch    177, Loss  0.774340, Average Loss  0.772370, Time  0.369976
2021-09-22 22:22:35.695542 : Epoch  4, Batch    126, Loss  0.771748, Average Loss  0.773447, Time  0.509384
2021-09-22 22:22:35.727832 : Epoch  4, Batch    178, Loss  0.778920, Average Loss  0.772394, Time  0.480710
2021-09-22 22:22:37.836672 : Epoch  4, Batch    179, Loss  0.769400, Average Loss  0.772326, Time  0.516742
2021-09-22 22:22:37.867854 : Epoch  4, Batch    127, Loss  0.775211, Average Loss  0.773426, Time  0.541332
2021-09-22 22:22:39.674706 : Epoch  4, Batch    180, Loss  0.777421, Average Loss  0.772368, Time  0.250748
2021-09-22 22:22:39.933450 : Epoch  4, Batch    128, Loss  0.767779, Average Loss  0.773359, Time  0.257387
2021-09-22 22:22:41.511812 : Epoch  4, Batch    181, Loss  0.772869, Average Loss  0.772399, Time  0.249502
2021-09-22 22:22:41.813514 : Epoch  4, Batch    129, Loss  0.765894, Average Loss  0.773363, Time  0.256159
2021-09-22 22:22:43.329912 : Epoch  4, Batch    182, Loss  0.770948, Average Loss  0.772372, Time  0.250002
2021-09-22 22:22:43.708940 : Epoch  4, Batch    130, Loss  0.774396, Average Loss  0.773299, Time  0.255711
2021-09-22 22:22:45.184775 : Epoch  4, Batch    183, Loss  0.758373, Average Loss  0.772287, Time  0.250309
2021-09-22 22:22:45.564174 : Epoch  4, Batch    131, Loss  0.783922, Average Loss  0.773333, Time  0.256252
2021-09-22 22:22:47.013973 : Epoch  4, Batch    184, Loss  0.779621, Average Loss  0.772303, Time  0.247802
2021-09-22 22:22:47.637845 : Epoch  4, Batch    132, Loss  0.773987, Average Loss  0.773394, Time  0.284461
2021-09-22 22:22:48.838340 : Epoch  4, Batch    185, Loss  0.773404, Average Loss  0.772322, Time  0.248729
2021-09-22 22:22:49.706403 : Epoch  4, Batch    133, Loss  0.774332, Average Loss  0.773426, Time  0.257734
2021-09-22 22:22:50.675901 : Epoch  4, Batch    186, Loss  0.780313, Average Loss  0.772354, Time  0.250189
2021-09-22 22:22:51.569368 : Epoch  4, Batch    134, Loss  0.761291, Average Loss  0.773342, Time  0.253694
2021-09-22 22:22:52.527367 : Epoch  4, Batch    187, Loss  0.773189, Average Loss  0.772292, Time  0.249192
2021-09-22 22:22:53.450493 : Epoch  4, Batch    135, Loss  0.778507, Average Loss  0.773331, Time  0.257096
2021-09-22 22:22:54.370799 : Epoch  4, Batch    188, Loss  0.763237, Average Loss  0.772219, Time  0.250770
2021-09-22 22:22:55.495829 : Epoch  4, Batch    136, Loss  0.775003, Average Loss  0.773290, Time  0.259889
2021-09-22 22:22:56.200995 : Epoch  4, Batch    189, Loss  0.766476, Average Loss  0.772210, Time  0.249161
2021-09-22 22:22:57.418062 : Epoch  4, Batch    137, Loss  0.781469, Average Loss  0.773327, Time  0.256570
2021-09-22 22:22:58.052929 : Epoch  4, Batch    190, Loss  0.784474, Average Loss  0.772276, Time  0.248703
2021-09-22 22:22:59.296501 : Epoch  4, Batch    138, Loss  0.775086, Average Loss  0.773296, Time  0.255184
2021-09-22 22:22:59.895843 : Epoch  4, Batch    191, Loss  0.772628, Average Loss  0.772246, Time  0.248941
2021-09-22 22:23:01.176430 : Epoch  4, Batch    139, Loss  0.790801, Average Loss  0.773396, Time  0.253658
2021-09-22 22:23:01.734349 : Epoch  4, Batch    192, Loss  0.779861, Average Loss  0.772305, Time  0.250339
2021-09-22 22:23:03.579398 : Epoch  4, Batch    193, Loss  0.780419, Average Loss  0.772331, Time  0.248803
2021-09-22 22:23:05.473575 : Epoch  4, Batch    194, Loss  0.772225, Average Loss  0.772354, Time  0.326770
2021-09-22 22:23:07.316275 : Epoch  4, Batch    195, Loss  0.779037, Average Loss  0.772380, Time  0.249483
2021-09-22 22:23:09.155018 : Epoch  4, Batch    196, Loss  0.764263, Average Loss  0.772362, Time  0.249481
2021-09-22 22:23:10.989470 : Epoch  4, Batch    197, Loss  0.771984, Average Loss  0.772384, Time  0.249190
2021-09-22 22:23:12.838792 : Epoch  4, Batch    198, Loss  0.771059, Average Loss  0.772343, Time  0.250559
2021-09-22 22:23:14.720521 : Epoch  4, Batch    199, Loss  0.765016, Average Loss  0.772359, Time  0.249932
2021-09-22 22:23:16.579065 : Epoch  4, Batch    200, Loss  0.763630, Average Loss  0.772330, Time  0.251038
2021-09-22 22:23:18.439173 : Epoch  4, Batch    201, Loss  0.773081, Average Loss  0.772322, Time  0.250466
2021-09-22 22:23:20.374306 : Epoch  4, Batch    202, Loss  0.794156, Average Loss  0.772376, Time  0.326338
2021-09-22 22:23:22.248268 : Epoch  4, Batch    203, Loss  0.784980, Average Loss  0.772509, Time  0.250593
2021-09-22 22:23:24.091876 : Epoch  4, Batch    204, Loss  0.769228, Average Loss  0.772518, Time  0.251330
2021-09-22 22:23:25.944322 : Epoch  4, Batch    205, Loss  0.763457, Average Loss  0.772455, Time  0.251422
2021-09-22 22:23:27.796815 : Epoch  4, Batch    206, Loss  0.779704, Average Loss  0.772574, Time  0.251858
2021-09-22 22:23:29.645520 : Epoch  4, Batch    207, Loss  0.762288, Average Loss  0.772557, Time  0.248740
2021-09-22 22:23:31.486983 : Epoch  4, Batch    208, Loss  0.776012, Average Loss  0.772563, Time  0.250597
2021-09-22 22:23:33.402486 : Epoch  4, Batch    209, Loss  0.778202, Average Loss  0.772567, Time  0.326784
2021-09-22 22:23:37.594063 : Epoch  4, Batch    210, Loss  0.774291, Average Loss  0.772537, Time  0.260026
2021-09-22 22:23:39.471380 : Epoch  4, Batch    211, Loss  0.772427, Average Loss  0.772548, Time  0.253351
2021-09-22 22:23:40.342754 : CheckPoint: Validation Loss  0.00015060, Best Loss  0.00014923
2021-09-22 22:23:41.289831 : Epoch  4, Batch    212, Loss  0.788670, Average Loss  0.772655, Time  0.249073
2021-09-22 22:23:43.133469 : Epoch  4, Batch    213, Loss  0.773071, Average Loss  0.772627, Time  0.250362
2021-09-22 22:23:45.053634 : Epoch  4, Batch    214, Loss  0.775927, Average Loss  0.772658, Time  0.325696
2021-09-22 22:23:45.321827 : Epoch  3, Batch    245, Loss  0.854906, Average Loss  0.870867, Time  0.420609
2021-09-22 22:23:46.898432 : Epoch  4, Batch    215, Loss  0.778272, Average Loss  0.772693, Time  0.249281
2021-09-22 22:23:48.760726 : Epoch  4, Batch    216, Loss  0.781652, Average Loss  0.772727, Time  0.250074
2021-09-22 22:23:50.271134 : Epoch  3, Batch    246, Loss  0.865612, Average Loss  0.870845, Time  0.414440
2021-09-22 22:23:50.591195 : Epoch  4, Batch    217, Loss  0.783835, Average Loss  0.772757, Time  0.249617
2021-09-22 22:23:52.454636 : Epoch  4, Batch    218, Loss  0.777565, Average Loss  0.772782, Time  0.249395
2021-09-22 22:23:54.291133 : Epoch  4, Batch    219, Loss  0.777825, Average Loss  0.772839, Time  0.249906
2021-09-22 22:23:55.248787 : Epoch  3, Batch    247, Loss  0.872687, Average Loss  0.870973, Time  0.413657
2021-09-22 22:23:56.123691 : Epoch  4, Batch    220, Loss  0.777205, Average Loss  0.772846, Time  0.251554
2021-09-22 22:23:58.043555 : Epoch  4, Batch    221, Loss  0.778301, Average Loss  0.772865, Time  0.324243
2021-09-22 22:23:59.903985 : Epoch  4, Batch    222, Loss  0.782007, Average Loss  0.772896, Time  0.251688
2021-09-22 22:24:00.200815 : Epoch  3, Batch    248, Loss  0.862586, Average Loss  0.871014, Time  0.413950
2021-09-22 22:24:01.744951 : Epoch  4, Batch    223, Loss  0.758802, Average Loss  0.772784, Time  0.249378
2021-09-22 22:24:03.584743 : Epoch  4, Batch    224, Loss  0.782676, Average Loss  0.772823, Time  0.250277
2021-09-22 22:24:05.156975 : Epoch  3, Batch    249, Loss  0.858404, Average Loss  0.870938, Time  0.413327
2021-09-22 22:24:05.430251 : Epoch  4, Batch    225, Loss  0.762606, Average Loss  0.772777, Time  0.250862
2021-09-22 22:24:07.275570 : Epoch  4, Batch    226, Loss  0.770198, Average Loss  0.772840, Time  0.249394
2021-09-22 22:24:09.111087 : Epoch  4, Batch    227, Loss  0.778409, Average Loss  0.772832, Time  0.249952
2021-09-22 22:24:10.122979 : Epoch  3, Batch    250, Loss  0.864776, Average Loss  0.870845, Time  0.413619
2021-09-22 22:24:10.966229 : Epoch  4, Batch    228, Loss  0.771773, Average Loss  0.772878, Time  0.249326
2021-09-22 22:24:11.729471 : CheckPoint: Validation Loss  0.00030514, Best Loss  0.00030514
2021-09-22 22:24:11.754807 : Best Model Updated
2021-09-22 22:24:12.811361 : Epoch  4, Batch    229, Loss  0.774772, Average Loss  0.772889, Time  0.249864
2021-09-22 22:24:14.422837 : Epoch  4, Batch    140, Loss  0.773690, Average Loss  0.773376, Time  0.252363
2021-09-22 22:24:14.680129 : Epoch  4, Batch    230, Loss  0.768827, Average Loss  0.772846, Time  0.250150
2021-09-22 22:24:15.109740 : Epoch  3, Batch    251, Loss  0.869557, Average Loss  0.870831, Time  0.413121
2021-09-22 22:24:16.742934 : Epoch  4, Batch    231, Loss  0.772928, Average Loss  0.772862, Time  0.475808
2021-09-22 22:24:16.790381 : Epoch  4, Batch    141, Loss  0.768021, Average Loss  0.773337, Time  0.533763
2021-09-22 22:24:18.606015 : Epoch  4, Batch    232, Loss  0.774100, Average Loss  0.772852, Time  0.249495
2021-09-22 22:24:18.865216 : Epoch  4, Batch    142, Loss  0.769116, Average Loss  0.773373, Time  0.290691
2021-09-22 22:24:20.127351 : Epoch  3, Batch    252, Loss  0.885119, Average Loss  0.870895, Time  0.463489
2021-09-22 22:24:20.436863 : Epoch  4, Batch    233, Loss  0.771311, Average Loss  0.772817, Time  0.248924
2021-09-22 22:24:20.956425 : Epoch  4, Batch    143, Loss  0.774740, Average Loss  0.773373, Time  0.283735
2021-09-22 22:24:22.287545 : Epoch  4, Batch    234, Loss  0.768676, Average Loss  0.772813, Time  0.250060
2021-09-22 22:24:23.016745 : Epoch  4, Batch    144, Loss  0.779720, Average Loss  0.773409, Time  0.282494
2021-09-22 22:24:24.156063 : Epoch  4, Batch    235, Loss  0.761090, Average Loss  0.772822, Time  0.248784
2021-09-22 22:24:25.083038 : Epoch  3, Batch    253, Loss  0.873277, Average Loss  0.870875, Time  0.420462
2021-09-22 22:24:25.097239 : Epoch  4, Batch    145, Loss  0.771939, Average Loss  0.773386, Time  0.259075
2021-09-22 22:24:25.988410 : Epoch  4, Batch    236, Loss  0.777782, Average Loss  0.772781, Time  0.249117
2021-09-22 22:24:27.013003 : Epoch  4, Batch    146, Loss  0.774239, Average Loss  0.773401, Time  0.257420
2021-09-22 22:24:27.834867 : Epoch  4, Batch    237, Loss  0.771630, Average Loss  0.772732, Time  0.249811
2021-09-22 22:24:28.904833 : Epoch  4, Batch    147, Loss  0.776905, Average Loss  0.773429, Time  0.255461
2021-09-22 22:24:29.678836 : Epoch  4, Batch    238, Loss  0.768872, Average Loss  0.772693, Time  0.249542
2021-09-22 22:24:30.035923 : Epoch  3, Batch    254, Loss  0.862963, Average Loss  0.870879, Time  0.413158
2021-09-22 22:24:30.768248 : Epoch  4, Batch    148, Loss  0.773496, Average Loss  0.773453, Time  0.254626
2021-09-22 22:24:31.518818 : Epoch  4, Batch    239, Loss  0.782127, Average Loss  0.772734, Time  0.251203
2021-09-22 22:24:32.860475 : Epoch  4, Batch    149, Loss  0.768262, Average Loss  0.773460, Time  0.283838
2021-09-22 22:24:34.998737 : Epoch  3, Batch    255, Loss  0.871432, Average Loss  0.870934, Time  0.412930
2021-09-22 22:24:34.999951 : Epoch  4, Batch    150, Loss  0.771500, Average Loss  0.773462, Time  0.282338
2021-09-22 22:24:37.172003 : Epoch  4, Batch    151, Loss  0.787653, Average Loss  0.773544, Time  0.356554
2021-09-22 22:24:39.255078 : Epoch  4, Batch    152, Loss  0.777641, Average Loss  0.773499, Time  0.281403
2021-09-22 22:24:39.947774 : Epoch  3, Batch    256, Loss  0.873357, Average Loss  0.870968, Time  0.413649
2021-09-22 22:24:41.311242 : Epoch  4, Batch    153, Loss  0.779728, Average Loss  0.773542, Time  0.258000
2021-09-22 22:24:43.203081 : Epoch  4, Batch    154, Loss  0.772176, Average Loss  0.773497, Time  0.254344
2021-09-22 22:24:44.891781 : Epoch  3, Batch    257, Loss  0.880150, Average Loss  0.870981, Time  0.413085
2021-09-22 22:24:45.361289 : Epoch  4, Batch    155, Loss  0.780297, Average Loss  0.773531, Time  0.356873
2021-09-22 22:24:47.290107 : Epoch  4, Batch    156, Loss  0.772025, Average Loss  0.773544, Time  0.254987
2021-09-22 22:24:49.163102 : Epoch  4, Batch    157, Loss  0.784770, Average Loss  0.773580, Time  0.256438
2021-09-22 22:24:49.851100 : Epoch  3, Batch    258, Loss  0.880020, Average Loss  0.871051, Time  0.413311
2021-09-22 22:24:51.058246 : Epoch  4, Batch    158, Loss  0.767156, Average Loss  0.773546, Time  0.255568
2021-09-22 22:24:53.140935 : Epoch  4, Batch    159, Loss  0.773559, Average Loss  0.773567, Time  0.285603
2021-09-22 22:24:54.816955 : Epoch  3, Batch    259, Loss  0.867323, Average Loss  0.871115, Time  0.414059
2021-09-22 22:24:55.203280 : Epoch  4, Batch    160, Loss  0.770037, Average Loss  0.773535, Time  0.259826
2021-09-22 22:24:57.069338 : Epoch  4, Batch    161, Loss  0.770365, Average Loss  0.773516, Time  0.254429
2021-09-22 22:24:58.950720 : Epoch  4, Batch    162, Loss  0.780050, Average Loss  0.773532, Time  0.254335
2021-09-22 22:24:59.798781 : Epoch  3, Batch    260, Loss  0.874121, Average Loss  0.871159, Time  0.414284
2021-09-22 22:25:00.830783 : Epoch  4, Batch    163, Loss  0.761455, Average Loss  0.773437, Time  0.254979
2021-09-22 22:25:02.726010 : Epoch  4, Batch    164, Loss  0.762170, Average Loss  0.773457, Time  0.254959
2021-09-22 22:25:04.674377 : Epoch  4, Batch    165, Loss  0.761251, Average Loss  0.773407, Time  0.313106
2021-09-22 22:25:04.855909 : Epoch  3, Batch    261, Loss  0.890693, Average Loss  0.871237, Time  0.454957
2021-09-22 22:25:06.563623 : Epoch  4, Batch    166, Loss  0.769222, Average Loss  0.773418, Time  0.256298
2021-09-22 22:25:08.456843 : Epoch  4, Batch    167, Loss  0.784184, Average Loss  0.773437, Time  0.255696
2021-09-22 22:25:09.798158 : Epoch  3, Batch    262, Loss  0.868866, Average Loss  0.871306, Time  0.414561
2021-09-22 22:25:10.330241 : Epoch  4, Batch    168, Loss  0.776230, Average Loss  0.773482, Time  0.256425
2021-09-22 22:25:12.428902 : Epoch  4, Batch    169, Loss  0.782010, Average Loss  0.773522, Time  0.283936
2021-09-22 22:25:14.486013 : Epoch  4, Batch    170, Loss  0.782088, Average Loss  0.773562, Time  0.260706
2021-09-22 22:25:14.760998 : Epoch  3, Batch    263, Loss  0.890840, Average Loss  0.871391, Time  0.413227
2021-09-22 22:25:16.358281 : Epoch  4, Batch    171, Loss  0.776515, Average Loss  0.773627, Time  0.253948
2021-09-22 22:25:18.278517 : Epoch  4, Batch    172, Loss  0.768880, Average Loss  0.773637, Time  0.279428
2021-09-22 22:25:19.720615 : Epoch  3, Batch    264, Loss  0.875613, Average Loss  0.871417, Time  0.413151
2021-09-22 22:25:20.372836 : Epoch  4, Batch    173, Loss  0.770072, Average Loss  0.773648, Time  0.283889
2021-09-22 22:25:22.431831 : Epoch  4, Batch    174, Loss  0.770409, Average Loss  0.773630, Time  0.264814
2021-09-22 22:25:24.307798 : Epoch  4, Batch    175, Loss  0.767888, Average Loss  0.773671, Time  0.253994
2021-09-22 22:25:24.684106 : Epoch  3, Batch    265, Loss  0.876491, Average Loss  0.871429, Time  0.413519
2021-09-22 22:25:26.390851 : Epoch  4, Batch    176, Loss  0.756016, Average Loss  0.773575, Time  0.260220
2021-09-22 22:25:28.458759 : Epoch  4, Batch    177, Loss  0.757750, Average Loss  0.773500, Time  0.258576
2021-09-22 22:25:29.638000 : Epoch  3, Batch    266, Loss  0.877632, Average Loss  0.871374, Time  0.413365
2021-09-22 22:25:30.556715 : Epoch  4, Batch    178, Loss  0.781149, Average Loss  0.773507, Time  0.284717
2021-09-22 22:25:32.643311 : Epoch  4, Batch    179, Loss  0.770836, Average Loss  0.773459, Time  0.282864
2021-09-22 22:25:34.589998 : Epoch  3, Batch    267, Loss  0.876176, Average Loss  0.871370, Time  0.414371
2021-09-22 22:25:34.701579 : Epoch  4, Batch    180, Loss  0.777054, Average Loss  0.773463, Time  0.282367
2021-09-22 22:25:36.719727 : Epoch  4, Batch    181, Loss  0.766803, Average Loss  0.773455, Time  0.257534
2021-09-22 22:25:38.661237 : Epoch  4, Batch    182, Loss  0.778833, Average Loss  0.773366, Time  0.310989
2021-09-22 22:25:39.550052 : Epoch  3, Batch    268, Loss  0.849936, Average Loss  0.871258, Time  0.413591
2021-09-22 22:25:40.517472 : Epoch  4, Batch    183, Loss  0.767567, Average Loss  0.773346, Time  0.253826
2021-09-22 22:25:40.646550 : CheckPoint: Validation Loss  0.00031047, Best Loss  0.00031047
2021-09-22 22:25:40.674445 : Best Model Updated
2021-09-22 22:25:42.615043 : Epoch  4, Batch    184, Loss  0.770934, Average Loss  0.773300, Time  0.284503
2021-09-22 22:25:43.273871 : Epoch  4, Batch    240, Loss  0.766873, Average Loss  0.772730, Time  0.249691
2021-09-22 22:25:44.503032 : Epoch  3, Batch    269, Loss  0.864743, Average Loss  0.871243, Time  0.413078
2021-09-22 22:25:44.683572 : Epoch  4, Batch    185, Loss  0.774359, Average Loss  0.773229, Time  0.258507
2021-09-22 22:25:45.113239 : Epoch  4, Batch    241, Loss  0.777448, Average Loss  0.772778, Time  0.250136
2021-09-22 22:25:46.550506 : Epoch  4, Batch    186, Loss  0.775886, Average Loss  0.773226, Time  0.255219
2021-09-22 22:25:46.931738 : Epoch  4, Batch    242, Loss  0.768188, Average Loss  0.772762, Time  0.249351
2021-09-22 22:25:48.449638 : Epoch  4, Batch    187, Loss  0.768979, Average Loss  0.773220, Time  0.255131
2021-09-22 22:25:48.747241 : Epoch  4, Batch    243, Loss  0.769142, Average Loss  0.772731, Time  0.248912
2021-09-22 22:25:49.476803 : Epoch  3, Batch    270, Loss  0.877343, Average Loss  0.871338, Time  0.413238
2021-09-22 22:25:50.360155 : Epoch  4, Batch    188, Loss  0.772655, Average Loss  0.773206, Time  0.256581
2021-09-22 22:25:50.594022 : Epoch  4, Batch    244, Loss  0.778090, Average Loss  0.772764, Time  0.257096
2021-09-22 22:25:52.346080 : Epoch  4, Batch    189, Loss  0.774996, Average Loss  0.773171, Time  0.351214
2021-09-22 22:25:52.488118 : Epoch  4, Batch    245, Loss  0.775496, Average Loss  0.772788, Time  0.310981
2021-09-22 22:25:54.405348 : Epoch  4, Batch    190, Loss  0.769029, Average Loss  0.773159, Time  0.437972
2021-09-22 22:25:54.478087 : Epoch  3, Batch    271, Loss  0.867295, Average Loss  0.871364, Time  0.462820
2021-09-22 22:25:54.483183 : Epoch  4, Batch    246, Loss  0.767270, Average Loss  0.772751, Time  0.401604
2021-09-22 22:25:56.537503 : Epoch  4, Batch    191, Loss  0.765645, Average Loss  0.773133, Time  0.504236
2021-09-22 22:25:56.569485 : Epoch  4, Batch    247, Loss  0.760274, Average Loss  0.772709, Time  0.466737
2021-09-22 22:25:58.671321 : Epoch  4, Batch    248, Loss  0.768463, Average Loss  0.772664, Time  0.512858
2021-09-22 22:25:58.704812 : Epoch  4, Batch    192, Loss  0.782422, Average Loss  0.773170, Time  0.524856
2021-09-22 22:25:59.446157 : Epoch  3, Batch    272, Loss  0.887122, Average Loss  0.871533, Time  0.414153
2021-09-22 22:26:00.494967 : Epoch  4, Batch    249, Loss  0.776702, Average Loss  0.772771, Time  0.249858
2021-09-22 22:26:00.802799 : Epoch  4, Batch    193, Loss  0.782280, Average Loss  0.773127, Time  0.283725
2021-09-22 22:26:02.336374 : Epoch  4, Batch    250, Loss  0.776432, Average Loss  0.772759, Time  0.249409
2021-09-22 22:26:02.886434 : Epoch  4, Batch    194, Loss  0.788265, Average Loss  0.773221, Time  0.282364
2021-09-22 22:26:04.214134 : Epoch  4, Batch    251, Loss  0.781463, Average Loss  0.772800, Time  0.249714
2021-09-22 22:26:04.405060 : Epoch  3, Batch    273, Loss  0.872453, Average Loss  0.871447, Time  0.414101
2021-09-22 22:26:04.961537 : Epoch  4, Batch    195, Loss  0.769310, Average Loss  0.773201, Time  0.284073
2021-09-22 22:26:06.044892 : Epoch  4, Batch    252, Loss  0.766011, Average Loss  0.772789, Time  0.248740
2021-09-22 22:26:07.045842 : Epoch  4, Batch    196, Loss  0.775867, Average Loss  0.773146, Time  0.281216
2021-09-22 22:26:07.882826 : Epoch  4, Batch    253, Loss  0.767513, Average Loss  0.772784, Time  0.250651
2021-09-22 22:26:08.920737 : Epoch  4, Batch    197, Loss  0.767306, Average Loss  0.773160, Time  0.255222
2021-09-22 22:26:09.349779 : Epoch  3, Batch    274, Loss  0.856414, Average Loss  0.871380, Time  0.413563
2021-09-22 22:26:09.708944 : Epoch  4, Batch    254, Loss  0.763484, Average Loss  0.772794, Time  0.250332
2021-09-22 22:26:10.794033 : Epoch  4, Batch    198, Loss  0.769143, Average Loss  0.773087, Time  0.254134
2021-09-22 22:26:11.536092 : Epoch  4, Batch    255, Loss  0.764015, Average Loss  0.772753, Time  0.249676
2021-09-22 22:26:12.678761 : Epoch  4, Batch    199, Loss  0.771856, Average Loss  0.773097, Time  0.256452
2021-09-22 22:26:13.372109 : Epoch  4, Batch    256, Loss  0.781159, Average Loss  0.772757, Time  0.249584
2021-09-22 22:26:14.327872 : Epoch  3, Batch    275, Loss  0.857178, Average Loss  0.871288, Time  0.414265
2021-09-22 22:26:14.559524 : Epoch  4, Batch    200, Loss  0.775072, Average Loss  0.773036, Time  0.255340
2021-09-22 22:26:15.201553 : Epoch  4, Batch    257, Loss  0.766942, Average Loss  0.772755, Time  0.250052
2021-09-22 22:26:16.430033 : Epoch  4, Batch    201, Loss  0.782222, Average Loss  0.773065, Time  0.253716
2021-09-22 22:26:17.050113 : Epoch  4, Batch    258, Loss  0.774020, Average Loss  0.772680, Time  0.248863
2021-09-22 22:26:18.305771 : Epoch  4, Batch    202, Loss  0.771494, Average Loss  0.773118, Time  0.253354
2021-09-22 22:26:18.900264 : Epoch  4, Batch    259, Loss  0.775684, Average Loss  0.772722, Time  0.250581
2021-09-22 22:26:19.294988 : Epoch  3, Batch    276, Loss  0.881676, Average Loss  0.871257, Time  0.413597
2021-09-22 22:26:20.200665 : Epoch  4, Batch    203, Loss  0.775856, Average Loss  0.773135, Time  0.281477
2021-09-22 22:26:20.736333 : Epoch  4, Batch    260, Loss  0.777978, Average Loss  0.772779, Time  0.250384
2021-09-22 22:26:22.289028 : Epoch  4, Batch    204, Loss  0.772085, Average Loss  0.773157, Time  0.282599
2021-09-22 22:26:22.584900 : Epoch  4, Batch    261, Loss  0.779539, Average Loss  0.772818, Time  0.249535
2021-09-22 22:26:24.269730 : Epoch  3, Batch    277, Loss  0.879139, Average Loss  0.871274, Time  0.413255
2021-09-22 22:26:24.623014 : Epoch  4, Batch    262, Loss  0.775926, Average Loss  0.772813, Time  0.460958
2021-09-22 22:26:24.662666 : Epoch  4, Batch    205, Loss  0.767921, Average Loss  0.773187, Time  0.530154
2021-09-22 22:26:26.468215 : Epoch  4, Batch    263, Loss  0.767451, Average Loss  0.772764, Time  0.251099
2021-09-22 22:26:26.713244 : Epoch  4, Batch    206, Loss  0.770740, Average Loss  0.773243, Time  0.259243
2021-09-22 22:26:28.322496 : Epoch  4, Batch    264, Loss  0.772536, Average Loss  0.772764, Time  0.248444
2021-09-22 22:26:28.793579 : Epoch  4, Batch    207, Loss  0.767379, Average Loss  0.773169, Time  0.281049
2021-09-22 22:26:29.261793 : Epoch  3, Batch    278, Loss  0.864037, Average Loss  0.871231, Time  0.414947
2021-09-22 22:26:30.177139 : Epoch  4, Batch    265, Loss  0.772141, Average Loss  0.772811, Time  0.248568
2021-09-22 22:26:30.709329 : Epoch  4, Batch    208, Loss  0.774408, Average Loss  0.773186, Time  0.255916
2021-09-22 22:26:32.225261 : Epoch  4, Batch    266, Loss  0.768599, Average Loss  0.772743, Time  0.281472
2021-09-22 22:26:32.644884 : Epoch  4, Batch    209, Loss  0.771950, Average Loss  0.773152, Time  0.256067
2021-09-22 22:26:34.219472 : Epoch  4, Batch    267, Loss  0.768705, Average Loss  0.772666, Time  0.253118
2021-09-22 22:26:34.223902 : Epoch  3, Batch    279, Loss  0.879645, Average Loss  0.871325, Time  0.413802
2021-09-22 22:26:36.099447 : Epoch  4, Batch    268, Loss  0.780575, Average Loss  0.772721, Time  0.251297
2021-09-22 22:26:37.967999 : Epoch  4, Batch    269, Loss  0.766480, Average Loss  0.772691, Time  0.250717
2021-09-22 22:26:38.667010 : Epoch  4, Batch    210, Loss  0.773570, Average Loss  0.773188, Time  0.257803
2021-09-22 22:26:39.298416 : Epoch  3, Batch    280, Loss  0.893018, Average Loss  0.871488, Time  0.453488
2021-09-22 22:26:39.842647 : Epoch  4, Batch    270, Loss  0.772661, Average Loss  0.772693, Time  0.251878
2021-09-22 22:26:40.591311 : Epoch  4, Batch    211, Loss  0.766451, Average Loss  0.773126, Time  0.257349
2021-09-22 22:26:41.718070 : Epoch  4, Batch    271, Loss  0.767739, Average Loss  0.772669, Time  0.251390
2021-09-22 22:26:42.662624 : Epoch  4, Batch    212, Loss  0.767037, Average Loss  0.773088, Time  0.257273
2021-09-22 22:26:43.567414 : Epoch  4, Batch    272, Loss  0.769283, Average Loss  0.772629, Time  0.250488
2021-09-22 22:26:44.265731 : Epoch  3, Batch    281, Loss  0.861804, Average Loss  0.871443, Time  0.414202
2021-09-22 22:26:44.576289 : Epoch  4, Batch    213, Loss  0.767246, Average Loss  0.773027, Time  0.255466
2021-09-22 22:26:45.431966 : Epoch  4, Batch    273, Loss  0.758757, Average Loss  0.772586, Time  0.250059
2021-09-22 22:26:46.479375 : Epoch  4, Batch    214, Loss  0.773559, Average Loss  0.773027, Time  0.254288
2021-09-22 22:26:47.289132 : Epoch  4, Batch    274, Loss  0.767071, Average Loss  0.772570, Time  0.249343
2021-09-22 22:26:48.372413 : Epoch  4, Batch    215, Loss  0.769936, Average Loss  0.772954, Time  0.255142
2021-09-22 22:26:49.132992 : Epoch  4, Batch    275, Loss  0.760577, Average Loss  0.772491, Time  0.250017
2021-09-22 22:26:49.222772 : Epoch  3, Batch    282, Loss  0.863288, Average Loss  0.871413, Time  0.414114
2021-09-22 22:26:50.282334 : Epoch  4, Batch    216, Loss  0.778518, Average Loss  0.772960, Time  0.255781
2021-09-22 22:26:50.976288 : Epoch  4, Batch    276, Loss  0.774329, Average Loss  0.772505, Time  0.251220
2021-09-22 22:26:52.180949 : Epoch  4, Batch    217, Loss  0.767144, Average Loss  0.772961, Time  0.254511
2021-09-22 22:26:52.828318 : Epoch  4, Batch    277, Loss  0.777755, Average Loss  0.772532, Time  0.249746
2021-09-22 22:26:54.177794 : Epoch  3, Batch    283, Loss  0.868849, Average Loss  0.871339, Time  0.413116
2021-09-22 22:26:54.278829 : Epoch  4, Batch    218, Loss  0.763052, Average Loss  0.772895, Time  0.284192
2021-09-22 22:26:54.670264 : Epoch  4, Batch    278, Loss  0.771307, Average Loss  0.772509, Time  0.251420
2021-09-22 22:26:56.522319 : Epoch  4, Batch    219, Loss  0.781676, Average Loss  0.772930, Time  0.420423
2021-09-22 22:26:56.612554 : Epoch  4, Batch    279, Loss  0.774685, Average Loss  0.772529, Time  0.359823
2021-09-22 22:26:58.642404 : Epoch  4, Batch    280, Loss  0.779177, Average Loss  0.772543, Time  0.428305
2021-09-22 22:26:58.727206 : Epoch  4, Batch    220, Loss  0.781770, Average Loss  0.773000, Time  0.403078
2021-09-22 22:26:59.157062 : Epoch  3, Batch    284, Loss  0.866577, Average Loss  0.871279, Time  0.414152
2021-09-22 22:27:00.640408 : Epoch  4, Batch    281, Loss  0.769515, Average Loss  0.772590, Time  0.397052
2021-09-22 22:27:00.745524 : Epoch  4, Batch    221, Loss  0.768575, Average Loss  0.772983, Time  0.363829
2021-09-22 22:27:02.624757 : Epoch  4, Batch    282, Loss  0.775109, Average Loss  0.772605, Time  0.388845
2021-09-22 22:27:02.739128 : Epoch  4, Batch    222, Loss  0.774311, Average Loss  0.772977, Time  0.358060
2021-09-22 22:27:04.125003 : Epoch  3, Batch    285, Loss  0.878630, Average Loss  0.871298, Time  0.413537
2021-09-22 22:27:04.530019 : Epoch  4, Batch    283, Loss  0.773830, Average Loss  0.772599, Time  0.328176
2021-09-22 22:27:04.689644 : Epoch  4, Batch    223, Loss  0.765507, Average Loss  0.772918, Time  0.302989
2021-09-22 22:27:06.378038 : Epoch  4, Batch    284, Loss  0.760880, Average Loss  0.772593, Time  0.253020
2021-09-22 22:27:06.602617 : Epoch  4, Batch    224, Loss  0.778677, Average Loss  0.772967, Time  0.271687
2021-09-22 22:27:08.376834 : Epoch  4, Batch    285, Loss  0.775162, Average Loss  0.772596, Time  0.365013
2021-09-22 22:27:08.508150 : Epoch  4, Batch    225, Loss  0.764891, Average Loss  0.772936, Time  0.336300
2021-09-22 22:27:09.085798 : Epoch  3, Batch    286, Loss  0.877122, Average Loss  0.871292, Time  0.414910
2021-09-22 22:27:10.292250 : Epoch  4, Batch    286, Loss  0.771947, Average Loss  0.772566, Time  0.321941
2021-09-22 22:27:10.456795 : Epoch  4, Batch    226, Loss  0.775782, Average Loss  0.772952, Time  0.292489
2021-09-22 22:27:12.126239 : Epoch  4, Batch    287, Loss  0.777839, Average Loss  0.772577, Time  0.250168
2021-09-22 22:27:12.372369 : Epoch  4, Batch    227, Loss  0.777675, Average Loss  0.772974, Time  0.257745
2021-09-22 22:27:13.960400 : Epoch  4, Batch    288, Loss  0.781450, Average Loss  0.772590, Time  0.249401
2021-09-22 22:27:14.040967 : Epoch  3, Batch    287, Loss  0.865562, Average Loss  0.871236, Time  0.413308
2021-09-22 22:27:14.271512 : Epoch  4, Batch    228, Loss  0.780012, Average Loss  0.773014, Time  0.256814
2021-09-22 22:27:15.802958 : Epoch  4, Batch    289, Loss  0.777023, Average Loss  0.772594, Time  0.250834
2021-09-22 22:27:16.365636 : Epoch  4, Batch    229, Loss  0.775342, Average Loss  0.773008, Time  0.282141
2021-09-22 22:27:17.660958 : Epoch  4, Batch    290, Loss  0.761708, Average Loss  0.772605, Time  0.249673
2021-09-22 22:27:18.466010 : Epoch  4, Batch    230, Loss  0.779215, Average Loss  0.773007, Time  0.283413
2021-09-22 22:27:19.006753 : Epoch  3, Batch    288, Loss  0.872581, Average Loss  0.871296, Time  0.413777
2021-09-22 22:27:19.517000 : Epoch  4, Batch    291, Loss  0.780920, Average Loss  0.772666, Time  0.251056
2021-09-22 22:27:20.578006 : Epoch  4, Batch    231, Loss  0.772819, Average Loss  0.772978, Time  0.283420
2021-09-22 22:27:21.351968 : Epoch  4, Batch    292, Loss  0.774323, Average Loss  0.772677, Time  0.249122
2021-09-22 22:27:22.700801 : Epoch  4, Batch    232, Loss  0.785095, Average Loss  0.773083, Time  0.284210
2021-09-22 22:27:23.225641 : Epoch  4, Batch    293, Loss  0.774156, Average Loss  0.772680, Time  0.248612
2021-09-22 22:27:24.058985 : Epoch  3, Batch    289, Loss  0.878313, Average Loss  0.871356, Time  0.458527
2021-09-22 22:27:24.810412 : Epoch  4, Batch    233, Loss  0.778464, Average Loss  0.773102, Time  0.283347
2021-09-22 22:27:25.093476 : Epoch  4, Batch    294, Loss  0.780599, Average Loss  0.772672, Time  0.250786
2021-09-22 22:27:27.138817 : Epoch  4, Batch    234, Loss  0.770528, Average Loss  0.773052, Time  0.502047
2021-09-22 22:27:27.170372 : Epoch  4, Batch    295, Loss  0.783089, Average Loss  0.772758, Time  0.465411
2021-09-22 22:27:29.082818 : Epoch  3, Batch    290, Loss  0.864904, Average Loss  0.871303, Time  0.414056
2021-09-22 22:27:29.266641 : Epoch  4, Batch    296, Loss  0.767879, Average Loss  0.772697, Time  0.506275
2021-09-22 22:27:29.291332 : Epoch  4, Batch    235, Loss  0.774390, Average Loss  0.773045, Time  0.489180
2021-09-22 22:27:31.334621 : Epoch  4, Batch    297, Loss  0.765200, Average Loss  0.772645, Time  0.473427
2021-09-22 22:27:31.382681 : Epoch  4, Batch    236, Loss  0.781285, Average Loss  0.773080, Time  0.444690
2021-09-22 22:27:33.417019 : Epoch  4, Batch    298, Loss  0.761040, Average Loss  0.772493, Time  0.469819
2021-09-22 22:27:33.469484 : Epoch  4, Batch    237, Loss  0.783076, Average Loss  0.773140, Time  0.439785
2021-09-22 22:27:34.075745 : Epoch  3, Batch    291, Loss  0.864260, Average Loss  0.871295, Time  0.413907
2021-09-22 22:27:35.479937 : Epoch  4, Batch    299, Loss  0.768173, Average Loss  0.772419, Time  0.454230
2021-09-22 22:27:35.542420 : Epoch  4, Batch    238, Loss  0.782229, Average Loss  0.773205, Time  0.424231
2021-09-22 22:27:37.550775 : Epoch  4, Batch    300, Loss  0.773909, Average Loss  0.772474, Time  0.463478
2021-09-22 22:27:37.608427 : Epoch  4, Batch    239, Loss  0.777447, Average Loss  0.773277, Time  0.436084
2021-09-22 22:27:39.056971 : Epoch  3, Batch    292, Loss  0.875997, Average Loss  0.871335, Time  0.415081
2021-09-22 22:27:39.390859 : Epoch  4, Batch    301, Loss  0.770493, Average Loss  0.772470, Time  0.250790
2021-09-22 22:27:41.254338 : Epoch  4, Batch    302, Loss  0.773905, Average Loss  0.772526, Time  0.250654
2021-09-22 22:27:43.095748 : Epoch  4, Batch    303, Loss  0.767672, Average Loss  0.772508, Time  0.250126
2021-09-22 22:27:44.022731 : Epoch  3, Batch    293, Loss  0.863774, Average Loss  0.871140, Time  0.412979
2021-09-22 22:27:44.933101 : Epoch  4, Batch    304, Loss  0.770945, Average Loss  0.772504, Time  0.249356
2021-09-22 22:27:46.788205 : Epoch  4, Batch    305, Loss  0.762543, Average Loss  0.772460, Time  0.250908
2021-09-22 22:27:48.632317 : Epoch  4, Batch    306, Loss  0.774024, Average Loss  0.772487, Time  0.251046
2021-09-22 22:27:48.992724 : Epoch  3, Batch    294, Loss  0.861723, Average Loss  0.871191, Time  0.413647
2021-09-22 22:27:50.566581 : Epoch  4, Batch    307, Loss  0.775550, Average Loss  0.772481, Time  0.325302
2021-09-22 22:27:52.423522 : Epoch  4, Batch    308, Loss  0.773580, Average Loss  0.772512, Time  0.264525
2021-09-22 22:27:53.948004 : Epoch  3, Batch    295, Loss  0.881621, Average Loss  0.871216, Time  0.413163
2021-09-22 22:27:54.243386 : Epoch  4, Batch    309, Loss  0.781098, Average Loss  0.772574, Time  0.249281
2021-09-22 22:27:58.482909 : Epoch  4, Batch    310, Loss  0.776365, Average Loss  0.772569, Time  0.257699
2021-09-22 22:27:58.929798 : Epoch  3, Batch    296, Loss  0.900209, Average Loss  0.871359, Time  0.413394
2021-09-22 22:28:00.327738 : Epoch  4, Batch    311, Loss  0.767674, Average Loss  0.772508, Time  0.249632
2021-09-22 22:28:02.255513 : Epoch  4, Batch    312, Loss  0.781060, Average Loss  0.772572, Time  0.324850
2021-09-22 22:28:03.945970 : Epoch  3, Batch    297, Loss  0.862162, Average Loss  0.871318, Time  0.414594
2021-09-22 22:28:04.111389 : Epoch  4, Batch    313, Loss  0.776623, Average Loss  0.772658, Time  0.250073
2021-09-22 22:28:05.943775 : Epoch  4, Batch    314, Loss  0.762939, Average Loss  0.772595, Time  0.249850
2021-09-22 22:28:07.812635 : Epoch  4, Batch    315, Loss  0.773001, Average Loss  0.772614, Time  0.251619
2021-09-22 22:28:08.952086 : Epoch  3, Batch    298, Loss  0.866221, Average Loss  0.871288, Time  0.448707
2021-09-22 22:28:09.656333 : Epoch  4, Batch    316, Loss  0.768684, Average Loss  0.772592, Time  0.251330
2021-09-22 22:28:11.519470 : Epoch  4, Batch    317, Loss  0.781567, Average Loss  0.772681, Time  0.250438
2021-09-22 22:28:13.370369 : Epoch  4, Batch    318, Loss  0.770380, Average Loss  0.772674, Time  0.249805
2021-09-22 22:28:13.915995 : Epoch  3, Batch    299, Loss  0.900432, Average Loss  0.871415, Time  0.413651
2021-09-22 22:28:15.300202 : Epoch  4, Batch    319, Loss  0.780272, Average Loss  0.772691, Time  0.326282
2021-09-22 22:28:17.152025 : Epoch  4, Batch    320, Loss  0.765710, Average Loss  0.772627, Time  0.248925
2021-09-22 22:28:18.887738 : Epoch  3, Batch    300, Loss  0.863313, Average Loss  0.871393, Time  0.414751
2021-09-22 22:28:18.980978 : Epoch  4, Batch    321, Loss  0.771649, Average Loss  0.772587, Time  0.248549
2021-09-22 22:28:20.826468 : Epoch  4, Batch    322, Loss  0.775984, Average Loss  0.772673, Time  0.249902
2021-09-22 22:28:22.673354 : Epoch  4, Batch    323, Loss  0.761108, Average Loss  0.772593, Time  0.249968
2021-09-22 22:28:23.867733 : Epoch  3, Batch    301, Loss  0.869901, Average Loss  0.871385, Time  0.423577
2021-09-22 22:28:24.513869 : Epoch  4, Batch    324, Loss  0.768348, Average Loss  0.772572, Time  0.249173
2021-09-22 22:28:26.362461 : Epoch  4, Batch    325, Loss  0.771295, Average Loss  0.772598, Time  0.249519
2021-09-22 22:28:28.210767 : Epoch  4, Batch    326, Loss  0.770569, Average Loss  0.772515, Time  0.249098
2021-09-22 22:28:28.843822 : Epoch  3, Batch    302, Loss  0.869919, Average Loss  0.871482, Time  0.413368
2021-09-22 22:28:30.142402 : Epoch  4, Batch    327, Loss  0.774235, Average Loss  0.772529, Time  0.325537
2021-09-22 22:28:31.991916 : Epoch  4, Batch    328, Loss  0.776820, Average Loss  0.772568, Time  0.249655
2021-09-22 22:28:33.808019 : Epoch  3, Batch    303, Loss  0.864936, Average Loss  0.871459, Time  0.412916
2021-09-22 22:28:33.847129 : Epoch  4, Batch    329, Loss  0.777628, Average Loss  0.772574, Time  0.250629
2021-09-22 22:28:35.703230 : Epoch  4, Batch    330, Loss  0.781313, Average Loss  0.772574, Time  0.248756
2021-09-22 22:28:37.554695 : Epoch  4, Batch    331, Loss  0.770015, Average Loss  0.772514, Time  0.250619
2021-09-22 22:28:38.810903 : Epoch  3, Batch    304, Loss  0.867269, Average Loss  0.871396, Time  0.413662
2021-09-22 22:28:39.404409 : Epoch  4, Batch    332, Loss  0.757873, Average Loss  0.772470, Time  0.248876
2021-09-22 22:28:41.231329 : Epoch  4, Batch    333, Loss  0.770889, Average Loss  0.772426, Time  0.250036
2021-09-22 22:28:43.129309 : Epoch  4, Batch    334, Loss  0.774807, Average Loss  0.772483, Time  0.286540
2021-09-22 22:28:43.813528 : Epoch  3, Batch    305, Loss  0.875044, Average Loss  0.871407, Time  0.413183
2021-09-22 22:28:45.029391 : Epoch  4, Batch    335, Loss  0.763016, Average Loss  0.772402, Time  0.310894
2021-09-22 22:28:46.866170 : Epoch  4, Batch    336, Loss  0.777617, Average Loss  0.772426, Time  0.248590
2021-09-22 22:28:48.729472 : CheckPoint: Validation Loss  0.00032209, Best Loss  0.00030514
2021-09-22 22:28:48.760653 : Epoch  4, Batch    337, Loss  0.770839, Average Loss  0.772392, Time  0.253891
2021-09-22 22:28:48.783729 : Epoch  3, Batch    306, Loss  0.892885, Average Loss  0.871493, Time  0.413375
2021-09-22 22:28:50.878245 : Epoch  4, Batch    240, Loss  0.781033, Average Loss  0.773303, Time  0.519855
2021-09-22 22:28:50.908448 : Epoch  4, Batch    338, Loss  0.762352, Average Loss  0.772313, Time  0.508461
2021-09-22 22:28:53.019188 : Epoch  4, Batch    339, Loss  0.776197, Average Loss  0.772341, Time  0.510418
2021-09-22 22:28:53.019220 : Epoch  4, Batch    241, Loss  0.768017, Average Loss  0.773290, Time  0.520384
2021-09-22 22:28:53.807955 : Epoch  3, Batch    307, Loss  0.871297, Average Loss  0.871490, Time  0.432454
2021-09-22 22:28:54.927415 : Epoch  4, Batch    242, Loss  0.764782, Average Loss  0.773268, Time  0.253574
2021-09-22 22:28:56.793433 : Epoch  4, Batch    243, Loss  0.775357, Average Loss  0.773284, Time  0.253701
2021-09-22 22:28:58.740232 : Epoch  4, Batch    244, Loss  0.769377, Average Loss  0.773328, Time  0.328135
2021-09-22 22:28:58.817400 : Epoch  3, Batch    308, Loss  0.865773, Average Loss  0.871474, Time  0.413526
2021-09-22 22:29:00.612852 : Epoch  4, Batch    245, Loss  0.784368, Average Loss  0.773385, Time  0.254366
2021-09-22 22:29:02.481346 : Epoch  4, Batch    246, Loss  0.770676, Average Loss  0.773412, Time  0.253895
2021-09-22 22:29:03.801143 : Epoch  3, Batch    309, Loss  0.874349, Average Loss  0.871437, Time  0.413274
2021-09-22 22:29:04.556356 : Epoch  4, Batch    247, Loss  0.766634, Average Loss  0.773359, Time  0.283244
2021-09-22 22:29:06.626722 : Epoch  4, Batch    248, Loss  0.778416, Average Loss  0.773345, Time  0.260655
2021-09-22 22:29:08.562371 : Epoch  4, Batch    249, Loss  0.769127, Average Loss  0.773271, Time  0.330827
2021-09-22 22:29:08.786771 : Epoch  3, Batch    310, Loss  0.867957, Average Loss  0.871463, Time  0.414402
2021-09-22 22:29:10.452969 : Epoch  4, Batch    250, Loss  0.774953, Average Loss  0.773248, Time  0.255929
2021-09-22 22:29:12.350532 : Epoch  4, Batch    251, Loss  0.783131, Average Loss  0.773301, Time  0.256403
2021-09-22 22:29:13.761391 : Epoch  3, Batch    311, Loss  0.869491, Average Loss  0.871389, Time  0.414143
2021-09-22 22:29:14.244928 : Epoch  4, Batch    252, Loss  0.768224, Average Loss  0.773262, Time  0.254439
2021-09-22 22:29:16.119141 : Epoch  4, Batch    253, Loss  0.767494, Average Loss  0.773252, Time  0.255859
2021-09-22 22:29:18.021311 : Epoch  4, Batch    254, Loss  0.780151, Average Loss  0.773288, Time  0.257947
2021-09-22 22:29:18.745085 : Epoch  3, Batch    312, Loss  0.865452, Average Loss  0.871436, Time  0.413925
2021-09-22 22:29:19.923077 : Epoch  4, Batch    255, Loss  0.774799, Average Loss  0.773291, Time  0.255326
2021-09-22 22:29:22.027880 : Epoch  4, Batch    256, Loss  0.773450, Average Loss  0.773308, Time  0.258322
2021-09-22 22:29:23.718022 : Epoch  3, Batch    313, Loss  0.885583, Average Loss  0.871577, Time  0.414668
2021-09-22 22:29:23.916287 : Epoch  4, Batch    257, Loss  0.787671, Average Loss  0.773351, Time  0.255002
2021-09-22 22:29:25.789078 : Epoch  4, Batch    258, Loss  0.776685, Average Loss  0.773355, Time  0.253929
2021-09-22 22:29:27.763459 : Epoch  4, Batch    259, Loss  0.762841, Average Loss  0.773280, Time  0.328919
2021-09-22 22:29:28.686026 : Epoch  3, Batch    314, Loss  0.870174, Average Loss  0.871564, Time  0.413270
2021-09-22 22:29:29.657580 : Epoch  4, Batch    260, Loss  0.773456, Average Loss  0.773296, Time  0.255785
2021-09-22 22:29:31.547230 : Epoch  4, Batch    261, Loss  0.774820, Average Loss  0.773281, Time  0.255466
2021-09-22 22:29:33.640046 : Epoch  4, Batch    262, Loss  0.775355, Average Loss  0.773273, Time  0.284480
2021-09-22 22:29:33.644995 : Epoch  3, Batch    315, Loss  0.859807, Average Loss  0.871473, Time  0.413707
2021-09-22 22:29:35.553508 : Epoch  4, Batch    263, Loss  0.776663, Average Loss  0.773232, Time  0.256238
2021-09-22 22:29:37.525340 : Epoch  4, Batch    264, Loss  0.780001, Average Loss  0.773259, Time  0.330170
2021-09-22 22:29:38.732775 : Epoch  3, Batch    316, Loss  0.879403, Average Loss  0.871470, Time  0.469441
2021-09-22 22:29:39.405660 : Epoch  4, Batch    265, Loss  0.767889, Average Loss  0.773182, Time  0.253454
2021-09-22 22:29:41.277385 : Epoch  4, Batch    266, Loss  0.768305, Average Loss  0.773126, Time  0.251338
2021-09-22 22:29:43.365890 : Epoch  4, Batch    267, Loss  0.774713, Average Loss  0.773133, Time  0.259419
2021-09-22 22:29:43.706663 : Epoch  3, Batch    317, Loss  0.877920, Average Loss  0.871558, Time  0.420163
2021-09-22 22:29:45.260953 : Epoch  4, Batch    268, Loss  0.765527, Average Loss  0.773076, Time  0.257608
2021-09-22 22:29:47.343356 : Epoch  4, Batch    269, Loss  0.773417, Average Loss  0.773105, Time  0.279709
2021-09-22 22:29:48.671019 : Epoch  3, Batch    318, Loss  0.862426, Average Loss  0.871520, Time  0.413490
2021-09-22 22:29:49.259836 : Epoch  4, Batch    270, Loss  0.769022, Average Loss  0.772987, Time  0.255597
2021-09-22 22:29:51.144228 : Epoch  4, Batch    271, Loss  0.773055, Average Loss  0.772961, Time  0.255570
2021-09-22 22:29:53.027577 : Epoch  4, Batch    272, Loss  0.766588, Average Loss  0.772922, Time  0.256406
2021-09-22 22:29:53.638973 : Epoch  3, Batch    319, Loss  0.860872, Average Loss  0.871482, Time  0.413380
2021-09-22 22:29:54.909120 : Epoch  4, Batch    273, Loss  0.784189, Average Loss  0.772968, Time  0.256846
2021-09-22 22:29:57.010307 : Epoch  4, Batch    274, Loss  0.778619, Average Loss  0.772985, Time  0.295483
2021-09-22 22:29:58.606088 : Epoch  3, Batch    320, Loss  0.863692, Average Loss  0.871380, Time  0.413437
2021-09-22 22:29:59.100873 : Epoch  4, Batch    275, Loss  0.769717, Average Loss  0.772995, Time  0.283072
2021-09-22 22:30:01.005672 : Epoch  4, Batch    276, Loss  0.769918, Average Loss  0.772992, Time  0.255090
2021-09-22 22:30:02.129715 : CheckPoint: Validation Loss  0.00030694, Best Loss  0.00030694
2021-09-22 22:30:02.164770 : Best Model Updated
2021-09-22 22:30:02.901963 : Epoch  4, Batch    277, Loss  0.757641, Average Loss  0.772989, Time  0.255044
2021-09-22 22:30:03.574763 : Epoch  3, Batch    321, Loss  0.872067, Average Loss  0.871424, Time  0.413341
2021-09-22 22:30:04.556250 : Epoch  4, Batch    340, Loss  0.769985, Average Loss  0.772349, Time  0.250776
2021-09-22 22:30:04.861206 : Epoch  4, Batch    278, Loss  0.770078, Average Loss  0.773057, Time  0.256761
2021-09-22 22:30:06.383469 : Epoch  4, Batch    341, Loss  0.765074, Average Loss  0.772298, Time  0.248981
2021-09-22 22:30:06.786025 : Epoch  4, Batch    279, Loss  0.766614, Average Loss  0.773058, Time  0.280243
2021-09-22 22:30:08.230312 : Epoch  4, Batch    342, Loss  0.773737, Average Loss  0.772343, Time  0.247716
2021-09-22 22:30:08.553730 : Epoch  3, Batch    322, Loss  0.857868, Average Loss  0.871463, Time  0.415942
2021-09-22 22:30:08.865636 : Epoch  4, Batch    280, Loss  0.785037, Average Loss  0.773105, Time  0.283194
2021-09-22 22:30:10.056257 : Epoch  4, Batch    343, Loss  0.771409, Average Loss  0.772345, Time  0.250520
2021-09-22 22:30:10.900145 : Epoch  4, Batch    281, Loss  0.761838, Average Loss  0.773070, Time  0.258900
2021-09-22 22:30:11.895727 : Epoch  4, Batch    344, Loss  0.776890, Average Loss  0.772329, Time  0.249186
2021-09-22 22:30:12.799533 : Epoch  4, Batch    282, Loss  0.770307, Average Loss  0.773046, Time  0.253732
2021-09-22 22:30:13.509828 : Epoch  3, Batch    323, Loss  0.875203, Average Loss  0.871428, Time  0.413701
2021-09-22 22:30:13.732181 : Epoch  4, Batch    345, Loss  0.776302, Average Loss  0.772376, Time  0.248100
2021-09-22 22:30:14.856330 : Epoch  4, Batch    283, Loss  0.768282, Average Loss  0.773057, Time  0.258165
2021-09-22 22:30:15.590257 : Epoch  4, Batch    346, Loss  0.767759, Average Loss  0.772315, Time  0.249489
2021-09-22 22:30:16.740776 : Epoch  4, Batch    284, Loss  0.764609, Average Loss  0.773004, Time  0.260487
2021-09-22 22:30:17.422537 : Epoch  4, Batch    347, Loss  0.774222, Average Loss  0.772357, Time  0.249844
2021-09-22 22:30:18.476772 : Epoch  3, Batch    324, Loss  0.879496, Average Loss  0.871480, Time  0.414419
2021-09-22 22:30:18.637412 : Epoch  4, Batch    285, Loss  0.775196, Average Loss  0.773046, Time  0.256289
2021-09-22 22:30:19.267202 : Epoch  4, Batch    348, Loss  0.780999, Average Loss  0.772375, Time  0.249554
2021-09-22 22:30:20.501700 : Epoch  4, Batch    286, Loss  0.768517, Average Loss  0.773049, Time  0.255601
2021-09-22 22:30:21.122830 : Epoch  4, Batch    349, Loss  0.776802, Average Loss  0.772405, Time  0.249730
2021-09-22 22:30:22.420095 : Epoch  4, Batch    287, Loss  0.783190, Average Loss  0.773045, Time  0.280253
2021-09-22 22:30:22.968291 : Epoch  4, Batch    350, Loss  0.766228, Average Loss  0.772409, Time  0.250321
2021-09-22 22:30:23.448009 : Epoch  3, Batch    325, Loss  0.861834, Average Loss  0.871384, Time  0.413945
2021-09-22 22:30:24.511371 : Epoch  4, Batch    288, Loss  0.769983, Average Loss  0.773061, Time  0.282449
2021-09-22 22:30:24.808893 : Epoch  4, Batch    351, Loss  0.765986, Average Loss  0.772363, Time  0.251236
2021-09-22 22:30:26.687643 : Epoch  4, Batch    289, Loss  0.771381, Average Loss  0.773065, Time  0.423774
2021-09-22 22:30:26.771533 : Epoch  4, Batch    352, Loss  0.770897, Average Loss  0.772419, Time  0.381498
2021-09-22 22:30:28.460981 : Epoch  3, Batch    326, Loss  0.880862, Average Loss  0.871432, Time  0.465441
2021-09-22 22:30:28.799688 : Epoch  4, Batch    353, Loss  0.780299, Average Loss  0.772473, Time  0.428599
2021-09-22 22:30:28.906047 : Epoch  4, Batch    290, Loss  0.773154, Average Loss  0.773084, Time  0.423189
2021-09-22 22:30:30.667085 : Epoch  4, Batch    354, Loss  0.764352, Average Loss  0.772506, Time  0.251356
2021-09-22 22:30:30.956968 : Epoch  4, Batch    291, Loss  0.760782, Average Loss  0.773071, Time  0.282784
2021-09-22 22:30:32.543294 : Epoch  4, Batch    355, Loss  0.778016, Average Loss  0.772527, Time  0.252222
2021-09-22 22:30:33.040025 : Epoch  4, Batch    292, Loss  0.787028, Average Loss  0.773088, Time  0.284779
2021-09-22 22:30:33.434978 : Epoch  3, Batch    327, Loss  0.861532, Average Loss  0.871364, Time  0.419589
2021-09-22 22:30:34.412048 : Epoch  4, Batch    356, Loss  0.754923, Average Loss  0.772440, Time  0.250375
2021-09-22 22:30:35.087772 : Epoch  4, Batch    293, Loss  0.773782, Average Loss  0.773132, Time  0.258417
2021-09-22 22:30:36.282790 : Epoch  4, Batch    357, Loss  0.761774, Average Loss  0.772377, Time  0.251293
2021-09-22 22:30:36.982357 : Epoch  4, Batch    294, Loss  0.768398, Average Loss  0.773128, Time  0.254930
2021-09-22 22:30:38.121536 : Epoch  4, Batch    358, Loss  0.779634, Average Loss  0.772458, Time  0.250782
2021-09-22 22:30:38.383925 : Epoch  3, Batch    328, Loss  0.869785, Average Loss  0.871304, Time  0.413290
2021-09-22 22:30:38.880704 : Epoch  4, Batch    295, Loss  0.776970, Average Loss  0.773123, Time  0.256895
2021-09-22 22:30:39.993897 : Epoch  4, Batch    359, Loss  0.774759, Average Loss  0.772470, Time  0.251013
2021-09-22 22:30:40.705281 : Epoch  4, Batch    296, Loss  0.771087, Average Loss  0.773081, Time  0.255884
2021-09-22 22:30:41.858983 : Epoch  4, Batch    360, Loss  0.777913, Average Loss  0.772487, Time  0.251382
2021-09-22 22:30:42.766725 : Epoch  4, Batch    297, Loss  0.763578, Average Loss  0.773084, Time  0.259444
2021-09-22 22:30:43.350753 : Epoch  3, Batch    329, Loss  0.876296, Average Loss  0.871342, Time  0.413379
2021-09-22 22:30:43.711825 : Epoch  4, Batch    361, Loss  0.769120, Average Loss  0.772489, Time  0.250637
2021-09-22 22:30:44.663923 : Epoch  4, Batch    298, Loss  0.785725, Average Loss  0.773150, Time  0.256712
2021-09-22 22:30:45.567565 : Epoch  4, Batch    362, Loss  0.777016, Average Loss  0.772534, Time  0.251120
2021-09-22 22:30:46.511271 : Epoch  4, Batch    299, Loss  0.772068, Average Loss  0.773115, Time  0.254485
2021-09-22 22:30:47.426275 : Epoch  4, Batch    363, Loss  0.780812, Average Loss  0.772572, Time  0.251095
2021-09-22 22:30:48.328757 : Epoch  3, Batch    330, Loss  0.875860, Average Loss  0.871409, Time  0.413266
2021-09-22 22:30:48.369108 : Epoch  4, Batch    300, Loss  0.776402, Average Loss  0.773139, Time  0.255121
2021-09-22 22:30:49.284797 : Epoch  4, Batch    364, Loss  0.769672, Average Loss  0.772532, Time  0.250945
2021-09-22 22:30:50.243262 : Epoch  4, Batch    301, Loss  0.783775, Average Loss  0.773207, Time  0.254086
2021-09-22 22:30:51.141193 : Epoch  4, Batch    365, Loss  0.782517, Average Loss  0.772583, Time  0.251789
2021-09-22 22:30:52.320909 : Epoch  4, Batch    302, Loss  0.762125, Average Loss  0.773183, Time  0.284229
2021-09-22 22:30:53.005134 : Epoch  4, Batch    366, Loss  0.769603, Average Loss  0.772591, Time  0.250174
2021-09-22 22:30:53.291743 : Epoch  3, Batch    331, Loss  0.890230, Average Loss  0.871467, Time  0.413115
2021-09-22 22:30:54.395149 : Epoch  4, Batch    303, Loss  0.770697, Average Loss  0.773161, Time  0.281525
2021-09-22 22:30:54.877417 : Epoch  4, Batch    367, Loss  0.776743, Average Loss  0.772559, Time  0.251366
2021-09-22 22:30:56.484231 : Epoch  4, Batch    304, Loss  0.764934, Average Loss  0.773142, Time  0.284073
2021-09-22 22:30:56.724398 : Epoch  4, Batch    368, Loss  0.760300, Average Loss  0.772465, Time  0.252092
2021-09-22 22:30:58.250877 : Epoch  3, Batch    332, Loss  0.887784, Average Loss  0.871590, Time  0.412846
2021-09-22 22:30:58.789738 : Epoch  4, Batch    305, Loss  0.772983, Average Loss  0.773186, Time  0.512647
2021-09-22 22:30:58.827003 : Epoch  4, Batch    369, Loss  0.777460, Average Loss  0.772487, Time  0.477654
2021-09-22 22:31:00.938381 : Epoch  4, Batch    370, Loss  0.784090, Average Loss  0.772568, Time  0.519237
2021-09-22 22:31:00.966503 : Epoch  4, Batch    306, Loss  0.769838, Average Loss  0.773209, Time  0.517434
2021-09-22 22:31:03.042597 : Epoch  4, Batch    371, Loss  0.775709, Average Loss  0.772642, Time  0.502860
2021-09-22 22:31:03.072253 : Epoch  4, Batch    307, Loss  0.768752, Average Loss  0.773157, Time  0.484400
2021-09-22 22:31:03.217730 : Epoch  3, Batch    333, Loss  0.877990, Average Loss  0.871656, Time  0.413361
2021-09-22 22:31:04.895800 : Epoch  4, Batch    372, Loss  0.769220, Average Loss  0.772603, Time  0.249706
2021-09-22 22:31:05.156183 : Epoch  4, Batch    308, Loss  0.775332, Average Loss  0.773172, Time  0.289175
2021-09-22 22:31:06.735627 : Epoch  4, Batch    373, Loss  0.776072, Average Loss  0.772622, Time  0.249683
2021-09-22 22:31:07.085838 : Epoch  4, Batch    309, Loss  0.777353, Average Loss  0.773114, Time  0.254761
2021-09-22 22:31:08.170769 : Epoch  3, Batch    334, Loss  0.869974, Average Loss  0.871616, Time  0.413118
2021-09-22 22:31:08.605480 : Epoch  4, Batch    374, Loss  0.777007, Average Loss  0.772697, Time  0.251429
2021-09-22 22:31:10.447248 : Epoch  4, Batch    375, Loss  0.760970, Average Loss  0.772631, Time  0.252557
2021-09-22 22:31:11.687709 : Epoch  4, Batch    310, Loss  0.772967, Average Loss  0.773184, Time  0.282583
2021-09-22 22:31:12.277884 : Epoch  4, Batch    376, Loss  0.766531, Average Loss  0.772655, Time  0.250133
2021-09-22 22:31:13.188731 : Epoch  3, Batch    335, Loss  0.877613, Average Loss  0.871633, Time  0.463142
2021-09-22 22:31:13.782611 : Epoch  4, Batch    311, Loss  0.772293, Average Loss  0.773231, Time  0.281932
2021-09-22 22:31:14.149306 : Epoch  4, Batch    377, Loss  0.777219, Average Loss  0.772669, Time  0.249354
2021-09-22 22:31:15.962859 : Epoch  4, Batch    312, Loss  0.772341, Average Loss  0.773265, Time  0.386599
2021-09-22 22:31:16.079039 : Epoch  4, Batch    378, Loss  0.763616, Average Loss  0.772593, Time  0.345688
2021-09-22 22:31:18.162614 : Epoch  4, Batch    379, Loss  0.769005, Average Loss  0.772591, Time  0.481442
2021-09-22 22:31:18.166969 : Epoch  3, Batch    336, Loss  0.872902, Average Loss  0.871588, Time  0.414168
2021-09-22 22:31:18.230952 : Epoch  4, Batch    313, Loss  0.772878, Average Loss  0.773261, Time  0.479255
2021-09-22 22:31:20.003006 : Epoch  4, Batch    380, Loss  0.770131, Average Loss  0.772554, Time  0.250258
2021-09-22 22:31:20.321044 : Epoch  4, Batch    314, Loss  0.763824, Average Loss  0.773251, Time  0.282719
2021-09-22 22:31:21.849484 : Epoch  4, Batch    381, Loss  0.767272, Average Loss  0.772526, Time  0.249677
2021-09-22 22:31:22.371788 : Epoch  4, Batch    315, Loss  0.771535, Average Loss  0.773256, Time  0.259710
2021-09-22 22:31:23.161987 : Epoch  3, Batch    337, Loss  0.868610, Average Loss  0.871600, Time  0.413593
2021-09-22 22:31:23.730550 : Epoch  4, Batch    382, Loss  0.778481, Average Loss  0.772564, Time  0.250988
2021-09-22 22:31:24.206709 : Epoch  4, Batch    316, Loss  0.762946, Average Loss  0.773194, Time  0.252784
2021-09-22 22:31:25.608254 : Epoch  4, Batch    383, Loss  0.761922, Average Loss  0.772582, Time  0.249564
2021-09-22 22:31:26.062962 : Epoch  4, Batch    317, Loss  0.761739, Average Loss  0.773122, Time  0.254505
2021-09-22 22:31:27.452574 : Epoch  4, Batch    384, Loss  0.773134, Average Loss  0.772549, Time  0.249279
2021-09-22 22:31:27.954302 : Epoch  4, Batch    318, Loss  0.770983, Average Loss  0.773151, Time  0.256439
2021-09-22 22:31:28.141845 : Epoch  3, Batch    338, Loss  0.881787, Average Loss  0.871623, Time  0.414454
2021-09-22 22:31:29.304453 : Epoch  4, Batch    385, Loss  0.773186, Average Loss  0.772548, Time  0.248638
2021-09-22 22:31:29.850624 : Epoch  4, Batch    319, Loss  0.780990, Average Loss  0.773150, Time  0.257027
2021-09-22 22:31:31.126527 : Epoch  4, Batch    386, Loss  0.772791, Average Loss  0.772511, Time  0.250542
2021-09-22 22:31:31.962655 : Epoch  4, Batch    320, Loss  0.781692, Average Loss  0.773195, Time  0.283840
2021-09-22 22:31:32.951145 : Epoch  4, Batch    387, Loss  0.766267, Average Loss  0.772476, Time  0.249049
2021-09-22 22:31:33.094787 : Epoch  3, Batch    339, Loss  0.867465, Average Loss  0.871551, Time  0.413450
2021-09-22 22:31:34.042156 : Epoch  4, Batch    321, Loss  0.775761, Average Loss  0.773210, Time  0.260185
2021-09-22 22:31:34.801851 : Epoch  4, Batch    388, Loss  0.772808, Average Loss  0.772524, Time  0.249112
2021-09-22 22:31:35.918689 : Epoch  4, Batch    322, Loss  0.774925, Average Loss  0.773224, Time  0.253914
2021-09-22 22:31:36.672132 : Epoch  4, Batch    389, Loss  0.773954, Average Loss  0.772561, Time  0.249727
2021-09-22 22:31:38.014372 : Epoch  4, Batch    323, Loss  0.769348, Average Loss  0.773189, Time  0.283976
2021-09-22 22:31:38.062801 : Epoch  3, Batch    340, Loss  0.875880, Average Loss  0.871659, Time  0.413453
2021-09-22 22:31:38.504949 : Epoch  4, Batch    390, Loss  0.782934, Average Loss  0.772554, Time  0.251505
2021-09-22 22:31:40.092249 : Epoch  4, Batch    324, Loss  0.780018, Average Loss  0.773225, Time  0.259648
2021-09-22 22:31:40.350060 : Epoch  4, Batch    391, Loss  0.774020, Average Loss  0.772561, Time  0.249774
2021-09-22 22:31:40.502636 : Epoch  4, Batch    392, Loss  0.589925, Average Loss  0.771611, Time  0.115717
2021-09-22 22:31:41.986517 : Epoch  4, Batch    325, Loss  0.763221, Average Loss  0.773158, Time  0.255200
2021-09-22 22:31:42.338350 : Epoch  4, Batch    393, Loss  0.778353, Average Loss  0.771601, Time  0.249433
2021-09-22 22:31:43.029808 : Epoch  3, Batch    341, Loss  0.871720, Average Loss  0.871651, Time  0.413160
2021-09-22 22:31:44.250828 : Epoch  4, Batch    326, Loss  0.761154, Average Loss  0.773105, Time  0.439951
2021-09-22 22:31:44.326814 : Epoch  4, Batch    394, Loss  0.764652, Average Loss  0.771563, Time  0.376571
2021-09-22 22:31:46.311495 : Epoch  4, Batch    395, Loss  0.802385, Average Loss  0.771679, Time  0.389314
2021-09-22 22:31:46.422437 : Epoch  4, Batch    327, Loss  0.777809, Average Loss  0.773118, Time  0.358044
2021-09-22 22:31:47.996763 : Epoch  3, Batch    342, Loss  0.868634, Average Loss  0.871603, Time  0.413330
2021-09-22 22:31:48.411258 : Epoch  4, Batch    396, Loss  0.792803, Average Loss  0.771822, Time  0.482409
2021-09-22 22:31:48.455793 : Epoch  4, Batch    328, Loss  0.763975, Average Loss  0.773099, Time  0.452534
2021-09-22 22:31:50.540558 : Epoch  4, Batch    397, Loss  0.775800, Average Loss  0.771841, Time  0.513884
2021-09-22 22:31:50.576711 : Epoch  4, Batch    329, Loss  0.775143, Average Loss  0.773145, Time  0.502330
2021-09-22 22:31:52.381556 : Epoch  4, Batch    398, Loss  0.791591, Average Loss  0.771944, Time  0.249493
2021-09-22 22:31:52.674704 : Epoch  4, Batch    330, Loss  0.785373, Average Loss  0.773200, Time  0.282176
2021-09-22 22:31:52.967040 : Epoch  3, Batch    343, Loss  0.868621, Average Loss  0.871592, Time  0.413236
2021-09-22 22:31:54.235910 : Epoch  4, Batch    399, Loss  0.778297, Average Loss  0.772010, Time  0.249350
2021-09-22 22:31:54.734302 : Epoch  4, Batch    331, Loss  0.782642, Average Loss  0.773194, Time  0.282409
2021-09-22 22:31:56.086113 : Epoch  4, Batch    400, Loss  0.778809, Average Loss  0.772086, Time  0.250318
2021-09-22 22:31:56.771156 : Epoch  4, Batch    332, Loss  0.760411, Average Loss  0.773126, Time  0.261674
2021-09-22 22:31:57.944514 : Epoch  4, Batch    401, Loss  0.781549, Average Loss  0.772128, Time  0.250119
2021-09-22 22:31:57.971792 : Epoch  3, Batch    344, Loss  0.872309, Average Loss  0.871608, Time  0.452547
2021-09-22 22:31:58.660795 : Epoch  4, Batch    333, Loss  0.759892, Average Loss  0.773054, Time  0.253826
2021-09-22 22:31:59.805540 : Epoch  4, Batch    402, Loss  0.777831, Average Loss  0.772047, Time  0.250885
2021-09-22 22:32:00.734765 : Epoch  4, Batch    334, Loss  0.768047, Average Loss  0.773087, Time  0.280145
2021-09-22 22:32:01.667186 : Epoch  4, Batch    403, Loss  0.770267, Average Loss  0.771973, Time  0.250664
2021-09-22 22:32:02.783222 : Epoch  4, Batch    335, Loss  0.777662, Average Loss  0.773083, Time  0.257447
2021-09-22 22:32:03.530007 : Epoch  4, Batch    404, Loss  0.779888, Average Loss  0.772027, Time  0.251051
2021-09-22 22:32:04.688983 : Epoch  4, Batch    336, Loss  0.760880, Average Loss  0.773012, Time  0.256612
2021-09-22 22:32:05.385290 : Epoch  4, Batch    405, Loss  0.770351, Average Loss  0.772061, Time  0.252372
2021-09-22 22:32:06.797617 : Epoch  4, Batch    337, Loss  0.771299, Average Loss  0.772962, Time  0.284487
2021-09-22 22:32:07.251499 : Epoch  4, Batch    406, Loss  0.772422, Average Loss  0.772025, Time  0.251149
2021-09-22 22:32:08.704441 : Epoch  4, Batch    338, Loss  0.773564, Average Loss  0.772954, Time  0.256533
2021-09-22 22:32:09.103747 : Epoch  4, Batch    407, Loss  0.782043, Average Loss  0.772123, Time  0.251956
2021-09-22 22:32:10.604031 : Epoch  4, Batch    339, Loss  0.775066, Average Loss  0.772875, Time  0.255735
2021-09-22 22:32:10.957478 : Epoch  4, Batch    408, Loss  0.786295, Average Loss  0.772175, Time  0.250790
2021-09-22 22:32:12.808500 : Epoch  4, Batch    409, Loss  0.779042, Average Loss  0.772179, Time  0.251259
2021-09-22 22:32:14.656878 : Epoch  4, Batch    410, Loss  0.777345, Average Loss  0.772194, Time  0.249940
2021-09-22 22:32:18.970299 : Epoch  4, Batch    411, Loss  0.768507, Average Loss  0.772175, Time  0.252677
2021-09-22 22:32:20.801263 : Epoch  4, Batch    412, Loss  0.776473, Average Loss  0.772114, Time  0.250907
2021-09-22 22:32:22.661666 : Epoch  4, Batch    413, Loss  0.775969, Average Loss  0.772128, Time  0.249491
2021-09-22 22:32:24.515819 : Epoch  4, Batch    414, Loss  0.771765, Average Loss  0.772107, Time  0.250425
2021-09-22 22:32:26.437436 : Epoch  4, Batch    415, Loss  0.769373, Average Loss  0.772063, Time  0.322084
2021-09-22 22:32:28.309830 : Epoch  4, Batch    416, Loss  0.776118, Average Loss  0.772035, Time  0.280015
2021-09-22 22:32:30.159549 : Epoch  4, Batch    417, Loss  0.764593, Average Loss  0.771939, Time  0.249285
2021-09-22 22:32:31.994465 : Epoch  4, Batch    418, Loss  0.773306, Average Loss  0.771918, Time  0.250203
2021-09-22 22:32:33.846778 : Epoch  4, Batch    419, Loss  0.790329, Average Loss  0.771980, Time  0.249836
2021-09-22 22:32:35.704513 : Epoch  4, Batch    420, Loss  0.773006, Average Loss  0.771959, Time  0.250106
2021-09-22 22:32:37.536738 : Epoch  4, Batch    421, Loss  0.769863, Average Loss  0.771917, Time  0.249868
2021-09-22 22:32:39.365413 : Epoch  4, Batch    422, Loss  0.782902, Average Loss  0.771922, Time  0.249704
2021-09-22 22:32:41.295790 : Epoch  4, Batch    423, Loss  0.769962, Average Loss  0.771977, Time  0.322315
2021-09-22 22:32:43.171692 : Epoch  4, Batch    424, Loss  0.782233, Average Loss  0.771975, Time  0.249312
2021-09-22 22:32:45.039461 : Epoch  4, Batch    425, Loss  0.764433, Average Loss  0.771984, Time  0.249815
2021-09-22 22:32:46.867460 : Epoch  4, Batch    426, Loss  0.758972, Average Loss  0.771928, Time  0.249477
2021-09-22 22:32:48.719701 : Epoch  4, Batch    427, Loss  0.771959, Average Loss  0.771896, Time  0.249456
2021-09-22 22:32:50.563041 : Epoch  4, Batch    428, Loss  0.781247, Average Loss  0.771943, Time  0.248656
2021-09-22 22:32:52.409962 : Epoch  4, Batch    429, Loss  0.765420, Average Loss  0.771896, Time  0.248774
2021-09-22 22:32:54.225337 : Epoch  4, Batch    430, Loss  0.768551, Average Loss  0.771895, Time  0.250463
2021-09-22 22:32:56.162012 : Epoch  4, Batch    431, Loss  0.761313, Average Loss  0.771837, Time  0.327414
2021-09-22 22:32:58.007988 : Epoch  4, Batch    432, Loss  0.766707, Average Loss  0.771800, Time  0.249234
2021-09-22 22:32:59.843232 : Epoch  4, Batch    433, Loss  0.775179, Average Loss  0.771819, Time  0.249335
2021-09-22 22:33:01.674137 : Epoch  4, Batch    434, Loss  0.760702, Average Loss  0.771780, Time  0.250614
2021-09-22 22:33:03.522443 : Epoch  4, Batch    435, Loss  0.773030, Average Loss  0.771839, Time  0.249775
2021-09-22 22:33:05.351769 : Epoch  4, Batch    436, Loss  0.768973, Average Loss  0.771795, Time  0.249086
2021-09-22 22:33:07.184040 : Epoch  4, Batch    437, Loss  0.762078, Average Loss  0.771747, Time  0.248548
2021-09-22 22:33:09.032668 : Epoch  4, Batch    438, Loss  0.758591, Average Loss  0.771696, Time  0.250115
2021-09-22 22:33:10.942746 : Epoch  4, Batch    439, Loss  0.766406, Average Loss  0.771617, Time  0.326412
2021-09-22 22:33:21.352254 : CheckPoint: Validation Loss  0.00032175, Best Loss  0.00030514
2021-09-22 22:33:23.450002 : Epoch  4, Batch    340, Loss  0.775704, Average Loss  0.772885, Time  0.283044
2021-09-22 22:33:25.502055 : Epoch  4, Batch    341, Loss  0.788487, Average Loss  0.772988, Time  0.259691
2021-09-22 22:33:27.403313 : Epoch  4, Batch    342, Loss  0.774475, Average Loss  0.773015, Time  0.255665
2021-09-22 22:33:29.304109 : Epoch  4, Batch    343, Loss  0.775545, Average Loss  0.773019, Time  0.255678
2021-09-22 22:33:31.243936 : Epoch  4, Batch    344, Loss  0.777047, Average Loss  0.773005, Time  0.327282
2021-09-22 22:33:33.340007 : Epoch  4, Batch    345, Loss  0.768946, Average Loss  0.772990, Time  0.284405
2021-09-22 22:33:35.406580 : Epoch  4, Batch    346, Loss  0.782658, Average Loss  0.773032, Time  0.259961
2021-09-22 22:33:37.292820 : Epoch  4, Batch    347, Loss  0.764991, Average Loss  0.772973, Time  0.255565
2021-09-22 22:33:39.159684 : Epoch  4, Batch    348, Loss  0.759719, Average Loss  0.772904, Time  0.254127
2021-09-22 22:33:41.111974 : Epoch  4, Batch    349, Loss  0.778073, Average Loss  0.772953, Time  0.330598
2021-09-22 22:33:42.997377 : Epoch  4, Batch    350, Loss  0.765548, Average Loss  0.772923, Time  0.254320
2021-09-22 22:33:44.879536 : Epoch  4, Batch    351, Loss  0.775629, Average Loss  0.772863, Time  0.254335
2021-09-22 22:33:46.980953 : Epoch  4, Batch    352, Loss  0.768039, Average Loss  0.772815, Time  0.283316
2021-09-22 22:33:49.149138 : Epoch  4, Batch    353, Loss  0.780543, Average Loss  0.772819, Time  0.357010
2021-09-22 22:33:51.053031 : Epoch  4, Batch    354, Loss  0.772920, Average Loss  0.772823, Time  0.257015
2021-09-22 22:33:52.938412 : Epoch  4, Batch    355, Loss  0.777376, Average Loss  0.772808, Time  0.255740
2021-09-22 22:33:55.034188 : Epoch  4, Batch    356, Loss  0.781522, Average Loss  0.772856, Time  0.283572
2021-09-22 22:33:57.105956 : Epoch  4, Batch    357, Loss  0.781838, Average Loss  0.772841, Time  0.258144
2021-09-22 22:33:59.003477 : Epoch  4, Batch    358, Loss  0.765559, Average Loss  0.772833, Time  0.264711
2021-09-22 22:34:01.090194 : Epoch  4, Batch    359, Loss  0.766471, Average Loss  0.772798, Time  0.283465
2021-09-22 22:34:02.968053 : Epoch  4, Batch    360, Loss  0.781065, Average Loss  0.772853, Time  0.255601
2021-09-22 22:34:05.078212 : Epoch  4, Batch    361, Loss  0.780059, Average Loss  0.772901, Time  0.284107
2021-09-22 22:34:07.179784 : Epoch  4, Batch    362, Loss  0.768070, Average Loss  0.772841, Time  0.282661
2021-09-22 22:34:09.265635 : Epoch  4, Batch    363, Loss  0.772168, Average Loss  0.772895, Time  0.283392
2021-09-22 22:34:11.196437 : Epoch  4, Batch    364, Loss  0.777331, Average Loss  0.772971, Time  0.258427
2021-09-22 22:34:13.271231 : Epoch  4, Batch    365, Loss  0.777965, Average Loss  0.773054, Time  0.284785
2021-09-22 22:34:15.327821 : Epoch  4, Batch    366, Loss  0.764215, Average Loss  0.773029, Time  0.256922
2021-09-22 22:34:17.203621 : Epoch  4, Batch    367, Loss  0.765050, Average Loss  0.772934, Time  0.254437
2021-09-22 22:34:19.095000 : Epoch  4, Batch    368, Loss  0.759761, Average Loss  0.772851, Time  0.255016
2021-09-22 22:34:20.316853 : CheckPoint: Validation Loss  0.00032128, Best Loss  0.00030694
2021-09-22 22:34:20.997073 : Epoch  4, Batch    369, Loss  0.766546, Average Loss  0.772774, Time  0.279320
2021-09-22 22:34:22.187127 : Epoch  4, Batch    440, Loss  0.777111, Average Loss  0.771669, Time  0.249606
2021-09-22 22:34:23.046256 : Epoch  4, Batch    370, Loss  0.781153, Average Loss  0.772769, Time  0.257907
2021-09-22 22:34:24.015525 : Epoch  4, Batch    441, Loss  0.767904, Average Loss  0.771621, Time  0.248514
2021-09-22 22:34:24.935537 : Epoch  4, Batch    371, Loss  0.776825, Average Loss  0.772771, Time  0.255814
2021-09-22 22:34:25.851708 : Epoch  4, Batch    442, Loss  0.775538, Average Loss  0.771658, Time  0.249928
2021-09-22 22:34:27.038205 : Epoch  4, Batch    372, Loss  0.774494, Average Loss  0.772799, Time  0.283522
2021-09-22 22:34:27.685196 : Epoch  4, Batch    443, Loss  0.765576, Average Loss  0.771640, Time  0.248619
2021-09-22 22:34:29.126384 : Epoch  4, Batch    373, Loss  0.782417, Average Loss  0.772861, Time  0.281962
2021-09-22 22:34:29.533363 : Epoch  4, Batch    444, Loss  0.779323, Average Loss  0.771646, Time  0.248223
2021-09-22 22:34:31.305620 : Epoch  4, Batch    374, Loss  0.767428, Average Loss  0.772846, Time  0.382656
2021-09-22 22:34:31.424531 : Epoch  4, Batch    445, Loss  0.769275, Average Loss  0.771615, Time  0.319566
2021-09-22 22:34:33.482277 : Epoch  4, Batch    446, Loss  0.758943, Average Loss  0.771573, Time  0.466959
2021-09-22 22:34:33.561479 : Epoch  4, Batch    375, Loss  0.783848, Average Loss  0.772925, Time  0.463139
2021-09-22 22:34:35.330754 : Epoch  4, Batch    447, Loss  0.780389, Average Loss  0.771674, Time  0.249871
2021-09-22 22:34:35.625144 : Epoch  4, Batch    376, Loss  0.763006, Average Loss  0.772960, Time  0.257496
2021-09-22 22:34:37.191488 : Epoch  4, Batch    448, Loss  0.774062, Average Loss  0.771702, Time  0.249370
2021-09-22 22:34:37.500184 : Epoch  4, Batch    377, Loss  0.772727, Average Loss  0.773035, Time  0.255617
2021-09-22 22:34:39.021086 : Epoch  4, Batch    449, Loss  0.783192, Average Loss  0.771734, Time  0.249416
2021-09-22 22:34:39.378261 : Epoch  4, Batch    378, Loss  0.786140, Average Loss  0.773060, Time  0.254467
2021-09-22 22:34:40.864308 : Epoch  4, Batch    450, Loss  0.775752, Average Loss  0.771731, Time  0.247534
2021-09-22 22:34:41.264082 : Epoch  4, Batch    379, Loss  0.775179, Average Loss  0.773082, Time  0.255272
2021-09-22 22:34:42.714533 : Epoch  4, Batch    451, Loss  0.766758, Average Loss  0.771657, Time  0.248688
2021-09-22 22:34:43.347305 : Epoch  4, Batch    380, Loss  0.771594, Average Loss  0.773055, Time  0.282756
2021-09-22 22:34:44.559227 : Epoch  4, Batch    452, Loss  0.764371, Average Loss  0.771649, Time  0.248878
2021-09-22 22:34:45.445491 : Epoch  4, Batch    381, Loss  0.759857, Average Loss  0.773020, Time  0.282656
2021-09-22 22:34:46.406671 : Epoch  4, Batch    453, Loss  0.784260, Average Loss  0.771733, Time  0.249118
2021-09-22 22:34:47.548858 : Epoch  4, Batch    382, Loss  0.788320, Average Loss  0.773067, Time  0.281887
2021-09-22 22:34:48.262349 : Epoch  4, Batch    454, Loss  0.769866, Average Loss  0.771765, Time  0.249054
2021-09-22 22:34:49.638273 : Epoch  4, Batch    383, Loss  0.776617, Average Loss  0.773113, Time  0.283092
2021-09-22 22:34:50.140311 : Epoch  4, Batch    455, Loss  0.765456, Average Loss  0.771772, Time  0.250331
2021-09-22 22:34:51.739756 : Epoch  4, Batch    384, Loss  0.775443, Average Loss  0.773135, Time  0.283724
2021-09-22 22:34:51.984440 : Epoch  4, Batch    456, Loss  0.769945, Average Loss  0.771716, Time  0.250265
2021-09-22 22:34:54.075322 : Epoch  4, Batch    457, Loss  0.777578, Average Loss  0.771769, Time  0.514678
2021-09-22 22:34:54.108697 : Epoch  4, Batch    385, Loss  0.774730, Average Loss  0.773137, Time  0.548468
2021-09-22 22:34:55.921749 : Epoch  4, Batch    458, Loss  0.784507, Average Loss  0.771822, Time  0.248014
2021-09-22 22:34:56.206420 : Epoch  4, Batch    386, Loss  0.773823, Average Loss  0.773127, Time  0.282973
2021-09-22 22:34:57.760135 : Epoch  4, Batch    459, Loss  0.778955, Average Loss  0.771838, Time  0.249753
2021-09-22 22:34:58.294654 : Epoch  4, Batch    387, Loss  0.771150, Average Loss  0.773138, Time  0.282105
2021-09-22 22:34:59.612790 : Epoch  4, Batch    460, Loss  0.764274, Average Loss  0.771769, Time  0.249449
2021-09-22 22:35:00.389390 : Epoch  4, Batch    388, Loss  0.779237, Average Loss  0.773170, Time  0.280393
2021-09-22 22:35:01.469701 : Epoch  4, Batch    461, Loss  0.773072, Average Loss  0.771737, Time  0.250238
2021-09-22 22:35:02.466575 : Epoch  4, Batch    389, Loss  0.767742, Average Loss  0.773134, Time  0.282492
2021-09-22 22:35:03.329460 : Epoch  4, Batch    462, Loss  0.779228, Average Loss  0.771754, Time  0.249683
2021-09-22 22:35:04.534933 : Epoch  4, Batch    390, Loss  0.769309, Average Loss  0.773136, Time  0.280884
2021-09-22 22:35:05.178988 : Epoch  4, Batch    463, Loss  0.778734, Average Loss  0.771810, Time  0.249545
2021-09-22 22:35:06.616165 : Epoch  4, Batch    391, Loss  0.772596, Average Loss  0.773170, Time  0.281798
2021-09-22 22:35:07.031899 : Epoch  4, Batch    464, Loss  0.779436, Average Loss  0.771844, Time  0.248963
2021-09-22 22:35:08.694221 : Epoch  4, Batch    392, Loss  0.781239, Average Loss  0.773164, Time  0.281657
2021-09-22 22:35:08.898667 : Epoch  4, Batch    465, Loss  0.762279, Average Loss  0.771795, Time  0.267990
2021-09-22 22:35:11.017316 : Epoch  4, Batch    466, Loss  0.775869, Average Loss  0.771831, Time  0.517776
2021-09-22 22:35:11.053183 : Epoch  4, Batch    393, Loss  0.776064, Average Loss  0.773133, Time  0.513379
2021-09-22 22:35:12.875162 : Epoch  4, Batch    467, Loss  0.772015, Average Loss  0.771848, Time  0.250457
2021-09-22 22:35:13.132273 : Epoch  4, Batch    394, Loss  0.765921, Average Loss  0.773022, Time  0.261275
2021-09-22 22:35:14.735993 : Epoch  4, Batch    468, Loss  0.773799, Average Loss  0.771814, Time  0.250948
2021-09-22 22:35:15.212441 : Epoch  4, Batch    395, Loss  0.780528, Average Loss  0.773078, Time  0.283772
2021-09-22 22:35:16.590696 : Epoch  4, Batch    469, Loss  0.762001, Average Loss  0.771792, Time  0.250785
2021-09-22 22:35:17.283610 : Epoch  4, Batch    396, Loss  0.779472, Average Loss  0.773096, Time  0.282952
2021-09-22 22:35:18.447232 : Epoch  4, Batch    470, Loss  0.777257, Average Loss  0.771815, Time  0.250480
2021-09-22 22:35:19.346558 : Epoch  4, Batch    397, Loss  0.775205, Average Loss  0.773135, Time  0.282017
2021-09-22 22:35:20.307725 : Epoch  4, Batch    471, Loss  0.771321, Average Loss  0.771833, Time  0.249582
2021-09-22 22:35:21.432173 : Epoch  4, Batch    398, Loss  0.771583, Average Loss  0.773147, Time  0.281878
2021-09-22 22:35:22.170185 : Epoch  4, Batch    472, Loss  0.767319, Average Loss  0.771823, Time  0.250802
2021-09-22 22:35:23.529864 : Epoch  4, Batch    399, Loss  0.786304, Average Loss  0.773220, Time  0.281838
2021-09-22 22:35:24.011384 : Epoch  4, Batch    473, Loss  0.781849, Average Loss  0.771938, Time  0.249409
2021-09-22 22:35:25.575002 : Epoch  4, Batch    400, Loss  0.770610, Average Loss  0.773197, Time  0.257652
2021-09-22 22:35:25.837188 : Epoch  4, Batch    474, Loss  0.779762, Average Loss  0.772002, Time  0.249395
2021-09-22 22:35:27.910717 : Epoch  4, Batch    475, Loss  0.788395, Average Loss  0.772141, Time  0.490332
2021-09-22 22:35:27.947291 : Epoch  4, Batch    401, Loss  0.760508, Average Loss  0.773089, Time  0.542279
2021-09-22 22:35:30.014333 : Epoch  4, Batch    476, Loss  0.761914, Average Loss  0.772079, Time  0.491374
2021-09-22 22:35:30.045477 : Epoch  4, Batch    402, Loss  0.774998, Average Loss  0.773106, Time  0.463218
2021-09-22 22:35:31.873632 : Epoch  4, Batch    477, Loss  0.778405, Average Loss  0.772082, Time  0.249801
2021-09-22 22:35:32.133851 : Epoch  4, Batch    403, Loss  0.777659, Average Loss  0.773115, Time  0.288910
2021-09-22 22:35:33.715265 : Epoch  4, Batch    478, Loss  0.764940, Average Loss  0.772050, Time  0.248998
2021-09-22 22:35:34.218571 : Epoch  4, Batch    404, Loss  0.763252, Average Loss  0.773071, Time  0.258787
2021-09-22 22:35:35.565046 : Epoch  4, Batch    479, Loss  0.769629, Average Loss  0.772025, Time  0.249448
2021-09-22 22:35:36.105137 : Epoch  4, Batch    405, Loss  0.775539, Average Loss  0.773109, Time  0.255439
2021-09-22 22:35:37.404107 : Epoch  4, Batch    480, Loss  0.780171, Average Loss  0.772030, Time  0.249290
2021-09-22 22:35:37.998226 : Epoch  4, Batch    406, Loss  0.765523, Average Loss  0.773083, Time  0.255126
2021-09-22 22:35:39.281311 : Epoch  4, Batch    481, Loss  0.776115, Average Loss  0.772063, Time  0.249780
2021-09-22 22:35:39.875197 : Epoch  4, Batch    407, Loss  0.768435, Average Loss  0.773088, Time  0.255784
2021-09-22 22:35:41.130936 : Epoch  4, Batch    482, Loss  0.775804, Average Loss  0.772066, Time  0.249549
2021-09-22 22:35:41.772350 : Epoch  4, Batch    408, Loss  0.777626, Average Loss  0.773105, Time  0.253832
2021-09-22 22:35:42.980794 : Epoch  4, Batch    483, Loss  0.779978, Average Loss  0.772097, Time  0.249202
2021-09-22 22:35:43.674874 : Epoch  4, Batch    409, Loss  0.773894, Average Loss  0.773114, Time  0.254046
2021-09-22 22:35:44.831420 : Epoch  4, Batch    484, Loss  0.769197, Average Loss  0.772139, Time  0.248597
2021-09-22 22:35:46.694737 : Epoch  4, Batch    485, Loss  0.769946, Average Loss  0.772113, Time  0.253484
2021-09-22 22:35:48.074788 : Epoch  4, Batch    410, Loss  0.778074, Average Loss  0.773137, Time  0.279985
2021-09-22 22:35:48.551414 : Epoch  4, Batch    486, Loss  0.767255, Average Loss  0.772089, Time  0.249915
2021-09-22 22:35:50.132895 : Epoch  4, Batch    411, Loss  0.774129, Average Loss  0.773175, Time  0.258001
2021-09-22 22:35:50.390978 : Epoch  4, Batch    487, Loss  0.765968, Average Loss  0.772030, Time  0.250880
2021-09-22 22:35:52.464310 : Epoch  4, Batch    488, Loss  0.762462, Average Loss  0.771935, Time  0.468639
2021-09-22 22:35:52.498274 : Epoch  4, Batch    412, Loss  0.774364, Average Loss  0.773212, Time  0.531775
2021-09-22 22:35:54.310962 : Epoch  4, Batch    489, Loss  0.761544, Average Loss  0.771857, Time  0.249223
2021-09-22 22:35:54.585933 : Epoch  4, Batch    413, Loss  0.780214, Average Loss  0.773277, Time  0.282023
2021-09-22 22:35:55.132742 : CheckPoint: Validation Loss  0.00015047, Best Loss  0.00014923
2021-09-22 22:35:56.143404 : Epoch  4, Batch    490, Loss  0.767448, Average Loss  0.771886, Time  0.249578
2021-09-22 22:35:56.668565 : Epoch  4, Batch    414, Loss  0.770939, Average Loss  0.773264, Time  0.281988
2021-09-22 22:35:58.004135 : Epoch  4, Batch    491, Loss  0.767308, Average Loss  0.771818, Time  0.247472
2021-09-22 22:35:58.726619 : Epoch  4, Batch    415, Loss  0.778489, Average Loss  0.773306, Time  0.259338
2021-09-22 22:35:59.854919 : Epoch  4, Batch    492, Loss  0.770530, Average Loss  0.771799, Time  0.250182
2021-09-22 22:36:00.111794 : Epoch  3, Batch    345, Loss  0.873890, Average Loss  0.871635, Time  0.420563
2021-09-22 22:36:00.815957 : Epoch  4, Batch    416, Loss  0.762615, Average Loss  0.773227, Time  0.283374
2021-09-22 22:36:01.705131 : Epoch  4, Batch    493, Loss  0.778378, Average Loss  0.771820, Time  0.249802
2021-09-22 22:36:02.900592 : Epoch  4, Batch    417, Loss  0.768056, Average Loss  0.773231, Time  0.283071
2021-09-22 22:36:03.549111 : Epoch  4, Batch    494, Loss  0.782927, Average Loss  0.771832, Time  0.248612
2021-09-22 22:36:04.974938 : Epoch  4, Batch    418, Loss  0.774101, Average Loss  0.773287, Time  0.259542
2021-09-22 22:36:05.065244 : Epoch  3, Batch    346, Loss  0.879135, Average Loss  0.871650, Time  0.417685
2021-09-22 22:36:05.408903 : Epoch  4, Batch    495, Loss  0.770830, Average Loss  0.771771, Time  0.249406
2021-09-22 22:36:06.857801 : Epoch  4, Batch    419, Loss  0.770278, Average Loss  0.773230, Time  0.254088
2021-09-22 22:36:07.246941 : Epoch  4, Batch    496, Loss  0.770246, Average Loss  0.771782, Time  0.249802
2021-09-22 22:36:08.738535 : Epoch  4, Batch    420, Loss  0.768210, Average Loss  0.773162, Time  0.255218
2021-09-22 22:36:09.091054 : Epoch  4, Batch    497, Loss  0.776790, Average Loss  0.771840, Time  0.249951
2021-09-22 22:36:10.067015 : Epoch  3, Batch    347, Loss  0.874251, Average Loss  0.871603, Time  0.413662
2021-09-22 22:36:10.983368 : Epoch  4, Batch    421, Loss  0.782942, Average Loss  0.773234, Time  0.434448
2021-09-22 22:36:11.064437 : Epoch  4, Batch    498, Loss  0.763394, Average Loss  0.771852, Time  0.373461
2021-09-22 22:36:13.161270 : Epoch  4, Batch    499, Loss  0.769448, Average Loss  0.771858, Time  0.499903
2021-09-22 22:36:13.191577 : Epoch  4, Batch    422, Loss  0.763694, Average Loss  0.773181, Time  0.522456
2021-09-22 22:36:15.035796 : Epoch  3, Batch    348, Loss  0.885371, Average Loss  0.871636, Time  0.413885
2021-09-22 22:36:15.269234 : Epoch  4, Batch    500, Loss  0.783399, Average Loss  0.771906, Time  0.503442
2021-09-22 22:36:15.314747 : Epoch  4, Batch    423, Loss  0.775275, Average Loss  0.773229, Time  0.486086
2021-09-22 22:36:17.382718 : Epoch  4, Batch    501, Loss  0.774090, Average Loss  0.771924, Time  0.490648
2021-09-22 22:36:17.415510 : Epoch  4, Batch    424, Loss  0.758621, Average Loss  0.773129, Time  0.461096
2021-09-22 22:36:19.233702 : Epoch  4, Batch    502, Loss  0.773910, Average Loss  0.771924, Time  0.249617
2021-09-22 22:36:19.500104 : Epoch  4, Batch    425, Loss  0.762173, Average Loss  0.773116, Time  0.285892
2021-09-22 22:36:19.998023 : Epoch  3, Batch    349, Loss  0.874933, Average Loss  0.871690, Time  0.413229
2021-09-22 22:36:21.080228 : Epoch  4, Batch    503, Loss  0.773390, Average Loss  0.771953, Time  0.250322
2021-09-22 22:36:21.605903 : Epoch  4, Batch    426, Loss  0.777344, Average Loss  0.773123, Time  0.285258
2021-09-22 22:36:22.928613 : Epoch  4, Batch    504, Loss  0.777096, Average Loss  0.771983, Time  0.249868
2021-09-22 22:36:23.721904 : Epoch  4, Batch    427, Loss  0.779778, Average Loss  0.773134, Time  0.282148
2021-09-22 22:36:24.780062 : Epoch  4, Batch    505, Loss  0.777582, Average Loss  0.772058, Time  0.251418
2021-09-22 22:36:24.959040 : Epoch  3, Batch    350, Loss  0.877090, Average Loss  0.871735, Time  0.413387
2021-09-22 22:36:25.801303 : Epoch  4, Batch    428, Loss  0.777511, Average Loss  0.773121, Time  0.283945
2021-09-22 22:36:26.641080 : Epoch  4, Batch    506, Loss  0.763219, Average Loss  0.772004, Time  0.249903
2021-09-22 22:36:27.888065 : Epoch  4, Batch    429, Loss  0.768862, Average Loss  0.773089, Time  0.282280
2021-09-22 22:36:28.486026 : Epoch  4, Batch    507, Loss  0.782233, Average Loss  0.772038, Time  0.249801
2021-09-22 22:36:29.906737 : Epoch  3, Batch    351, Loss  0.860874, Average Loss  0.871624, Time  0.413007
2021-09-22 22:36:29.983898 : Epoch  4, Batch    430, Loss  0.779041, Average Loss  0.773088, Time  0.282606
2021-09-22 22:36:30.346604 : Epoch  4, Batch    508, Loss  0.773516, Average Loss  0.772038, Time  0.248327
2021-09-22 22:36:32.294949 : Epoch  4, Batch    431, Loss  0.774908, Average Loss  0.773099, Time  0.473108
2021-09-22 22:36:32.346813 : Epoch  4, Batch    509, Loss  0.766321, Average Loss  0.771964, Time  0.412743
2021-09-22 22:36:34.374012 : Epoch  4, Batch    432, Loss  0.781119, Average Loss  0.773079, Time  0.281386
2021-09-22 22:36:34.867211 : Epoch  3, Batch    352, Loss  0.869135, Average Loss  0.871624, Time  0.413229
2021-09-22 22:36:36.672616 : Epoch  4, Batch    510, Loss  0.762424, Average Loss  0.771894, Time  0.514947
2021-09-22 22:36:36.705232 : Epoch  4, Batch    433, Loss  0.780209, Average Loss  0.773087, Time  0.505457
2021-09-22 22:36:38.785498 : Epoch  4, Batch    511, Loss  0.758725, Average Loss  0.771849, Time  0.501323
2021-09-22 22:36:38.819965 : Epoch  4, Batch    434, Loss  0.780410, Average Loss  0.773137, Time  0.471277
2021-09-22 22:36:39.875750 : Epoch  3, Batch    353, Loss  0.880160, Average Loss  0.871599, Time  0.458609
2021-09-22 22:36:40.634097 : Epoch  4, Batch    512, Loss  0.774228, Average Loss  0.771815, Time  0.251361
2021-09-22 22:36:40.890206 : Epoch  4, Batch    435, Loss  0.779666, Average Loss  0.773163, Time  0.259921
2021-09-22 22:36:42.480757 : Epoch  4, Batch    513, Loss  0.772088, Average Loss  0.771792, Time  0.248855
2021-09-22 22:36:42.790615 : Epoch  4, Batch    436, Loss  0.778913, Average Loss  0.773151, Time  0.255780
2021-09-22 22:36:44.316258 : Epoch  4, Batch    514, Loss  0.784004, Average Loss  0.771898, Time  0.250495
2021-09-22 22:36:44.687094 : Epoch  4, Batch    437, Loss  0.786609, Average Loss  0.773169, Time  0.254982
2021-09-22 22:36:44.853047 : Epoch  3, Batch    354, Loss  0.881881, Average Loss  0.871636, Time  0.413159
2021-09-22 22:36:46.146188 : Epoch  4, Batch    515, Loss  0.767568, Average Loss  0.771871, Time  0.250453
2021-09-22 22:36:46.591756 : Epoch  4, Batch    438, Loss  0.765888, Average Loss  0.773087, Time  0.259873
2021-09-22 22:36:48.056641 : Epoch  4, Batch    516, Loss  0.768797, Average Loss  0.771871, Time  0.251656
2021-09-22 22:36:48.500214 : Epoch  4, Batch    439, Loss  0.776031, Average Loss  0.773080, Time  0.255189
2021-09-22 22:36:49.811738 : Epoch  3, Batch    355, Loss  0.863188, Average Loss  0.871560, Time  0.413429
2021-09-22 22:36:49.940175 : Epoch  4, Batch    517, Loss  0.769221, Average Loss  0.771809, Time  0.252391
2021-09-22 22:36:51.805255 : Epoch  4, Batch    518, Loss  0.765577, Average Loss  0.771785, Time  0.251309
2021-09-22 22:36:53.689247 : Epoch  4, Batch    519, Loss  0.764471, Average Loss  0.771706, Time  0.251245
2021-09-22 22:36:54.780137 : Epoch  3, Batch    356, Loss  0.881064, Average Loss  0.871553, Time  0.413631
2021-09-22 22:36:55.587152 : Epoch  4, Batch    520, Loss  0.767019, Average Loss  0.771713, Time  0.251319
2021-09-22 22:36:57.660638 : Epoch  4, Batch    521, Loss  0.773617, Average Loss  0.771723, Time  0.340830
2021-09-22 22:36:59.694099 : Epoch  4, Batch    522, Loss  0.771023, Average Loss  0.771698, Time  0.275835
2021-09-22 22:36:59.751724 : Epoch  3, Batch    357, Loss  0.860184, Average Loss  0.871545, Time  0.413829
2021-09-22 22:37:01.626660 : Epoch  4, Batch    523, Loss  0.775952, Average Loss  0.771772, Time  0.255994
2021-09-22 22:37:03.536178 : Epoch  4, Batch    524, Loss  0.769132, Average Loss  0.771776, Time  0.252995
2021-09-22 22:37:04.720131 : Epoch  3, Batch    358, Loss  0.866259, Average Loss  0.871542, Time  0.413691
2021-09-22 22:37:05.439856 : Epoch  4, Batch    525, Loss  0.774076, Average Loss  0.771790, Time  0.254286
2021-09-22 22:37:07.352982 : Epoch  4, Batch    526, Loss  0.773275, Average Loss  0.771804, Time  0.253072
2021-09-22 22:37:09.236528 : Epoch  4, Batch    527, Loss  0.765865, Average Loss  0.771762, Time  0.257054
2021-09-22 22:37:09.690097 : Epoch  3, Batch    359, Loss  0.865376, Average Loss  0.871554, Time  0.414477
2021-09-22 22:37:11.216370 : Epoch  4, Batch    528, Loss  0.770896, Average Loss  0.771732, Time  0.326864
2021-09-22 22:37:13.092303 : Epoch  4, Batch    529, Loss  0.771752, Average Loss  0.771703, Time  0.251835
2021-09-22 22:37:14.662879 : Epoch  3, Batch    360, Loss  0.871885, Average Loss  0.871463, Time  0.413971
2021-09-22 22:37:15.004172 : Epoch  4, Batch    530, Loss  0.761726, Average Loss  0.771605, Time  0.253883
2021-09-22 22:37:16.895934 : Epoch  4, Batch    531, Loss  0.775242, Average Loss  0.771631, Time  0.252121
2021-09-22 22:37:18.799771 : Epoch  4, Batch    532, Loss  0.766424, Average Loss  0.771674, Time  0.252597
2021-09-22 22:37:19.619850 : Epoch  3, Batch    361, Loss  0.877643, Average Loss  0.871537, Time  0.413777
2021-09-22 22:37:20.769715 : Epoch  4, Batch    533, Loss  0.775177, Average Loss  0.771695, Time  0.254207
2021-09-22 22:37:22.757806 : Epoch  4, Batch    534, Loss  0.772754, Average Loss  0.771685, Time  0.329124
2021-09-22 22:37:24.567301 : Epoch  3, Batch    362, Loss  0.851420, Average Loss  0.871453, Time  0.414796
2021-09-22 22:37:24.662748 : Epoch  4, Batch    535, Loss  0.765225, Average Loss  0.771696, Time  0.252796
2021-09-22 22:37:26.563622 : Epoch  4, Batch    536, Loss  0.786282, Average Loss  0.771739, Time  0.252647
2021-09-22 22:37:28.453910 : Epoch  4, Batch    537, Loss  0.788666, Average Loss  0.771828, Time  0.252523
2021-09-22 22:37:29.566594 : Epoch  3, Batch    363, Loss  0.872413, Average Loss  0.871465, Time  0.456754
2021-09-22 22:37:30.361389 : Epoch  4, Batch    538, Loss  0.776714, Average Loss  0.771900, Time  0.253156
2021-09-22 22:37:32.293546 : Epoch  4, Batch    539, Loss  0.783511, Average Loss  0.771937, Time  0.256743
2021-09-22 22:37:34.521735 : Epoch  3, Batch    364, Loss  0.874108, Average Loss  0.871470, Time  0.413137
2021-09-22 22:37:39.475771 : Epoch  3, Batch    365, Loss  0.859750, Average Loss  0.871481, Time  0.413127
2021-09-22 22:37:44.434060 : Epoch  3, Batch    366, Loss  0.867837, Average Loss  0.871529, Time  0.412890
2021-09-22 22:37:49.384018 : Epoch  3, Batch    367, Loss  0.883600, Average Loss  0.871512, Time  0.413604
2021-09-22 22:37:54.331949 : Epoch  3, Batch    368, Loss  0.877969, Average Loss  0.871507, Time  0.413288
2021-09-22 22:37:59.283727 : Epoch  3, Batch    369, Loss  0.870275, Average Loss  0.871522, Time  0.412814
2021-09-22 22:38:01.830382 : CheckPoint: Validation Loss  0.00031832, Best Loss  0.00030514
2021-09-22 22:38:03.845967 : Epoch  4, Batch    440, Loss  0.764044, Average Loss  0.772995, Time  0.343296
2021-09-22 22:38:04.243259 : Epoch  3, Batch    370, Loss  0.877207, Average Loss  0.871570, Time  0.413309
2021-09-22 22:38:05.765192 : Epoch  4, Batch    441, Loss  0.757896, Average Loss  0.772945, Time  0.261846
2021-09-22 22:38:07.681410 : Epoch  4, Batch    442, Loss  0.782902, Average Loss  0.773035, Time  0.257215
2021-09-22 22:38:09.180978 : Epoch  3, Batch    371, Loss  0.877798, Average Loss  0.871562, Time  0.413128
2021-09-22 22:38:09.703848 : Epoch  4, Batch    443, Loss  0.787787, Average Loss  0.773097, Time  0.264248
2021-09-22 22:38:11.635351 : Epoch  4, Batch    444, Loss  0.769993, Average Loss  0.773100, Time  0.255565
2021-09-22 22:38:13.652137 : Epoch  4, Batch    445, Loss  0.770815, Average Loss  0.773033, Time  0.327424
2021-09-22 22:38:14.196807 : Epoch  3, Batch    372, Loss  0.871482, Average Loss  0.871549, Time  0.462208
2021-09-22 22:38:15.583894 : Epoch  4, Batch    446, Loss  0.773368, Average Loss  0.773046, Time  0.255823
2021-09-22 22:38:17.510012 : Epoch  4, Batch    447, Loss  0.765930, Average Loss  0.773043, Time  0.257008
2021-09-22 22:38:19.175097 : Epoch  3, Batch    373, Loss  0.865490, Average Loss  0.871577, Time  0.414864
2021-09-22 22:38:19.506616 : Epoch  4, Batch    448, Loss  0.768506, Average Loss  0.772993, Time  0.256084
2021-09-22 22:38:21.521833 : Epoch  4, Batch    449, Loss  0.781558, Average Loss  0.773055, Time  0.291385
2021-09-22 22:38:23.915140 : Epoch  4, Batch    450, Loss  0.764402, Average Loss  0.773002, Time  0.418711
2021-09-22 22:38:24.167861 : Epoch  3, Batch    374, Loss  0.869227, Average Loss  0.871634, Time  0.414701
2021-09-22 22:38:26.109884 : Epoch  4, Batch    451, Loss  0.763301, Average Loss  0.772903, Time  0.278657
2021-09-22 22:38:28.156987 : Epoch  4, Batch    452, Loss  0.771606, Average Loss  0.772920, Time  0.256704
2021-09-22 22:38:29.128360 : Epoch  3, Batch    375, Loss  0.864068, Average Loss  0.871688, Time  0.414077
2021-09-22 22:38:30.324080 : Epoch  4, Batch    453, Loss  0.778470, Average Loss  0.772975, Time  0.295525
2021-09-22 22:38:32.452865 : Epoch  4, Batch    454, Loss  0.774508, Average Loss  0.772947, Time  0.338743
2021-09-22 22:38:34.092816 : Epoch  3, Batch    376, Loss  0.881730, Average Loss  0.871790, Time  0.413368
2021-09-22 22:38:34.537622 : Epoch  4, Batch    455, Loss  0.764656, Average Loss  0.772896, Time  0.297868
2021-09-22 22:38:36.595081 : Epoch  4, Batch    456, Loss  0.778839, Average Loss  0.772923, Time  0.282676
2021-09-22 22:38:38.793015 : Epoch  4, Batch    457, Loss  0.769340, Average Loss  0.772831, Time  0.322021
2021-09-22 22:38:39.049797 : Epoch  3, Batch    377, Loss  0.877460, Average Loss  0.871845, Time  0.413265
2021-09-22 22:38:40.894062 : Epoch  4, Batch    458, Loss  0.764070, Average Loss  0.772768, Time  0.339699
2021-09-22 22:38:43.130270 : Epoch  4, Batch    459, Loss  0.775528, Average Loss  0.772832, Time  0.298142
2021-09-22 22:38:44.018012 : Epoch  3, Batch    378, Loss  0.857763, Average Loss  0.871816, Time  0.413278
2021-09-22 22:38:45.315952 : Epoch  4, Batch    460, Loss  0.774992, Average Loss  0.772839, Time  0.285266
2021-09-22 22:38:46.558760 : CheckPoint: Validation Loss  0.00031866, Best Loss  0.00030694
2021-09-22 22:38:47.405412 : Epoch  4, Batch    461, Loss  0.779215, Average Loss  0.772861, Time  0.286399
2021-09-22 22:38:48.482839 : Epoch  4, Batch    540, Loss  0.779783, Average Loss  0.771986, Time  0.250312
2021-09-22 22:38:48.983867 : Epoch  3, Batch    379, Loss  0.878367, Average Loss  0.871872, Time  0.413150
2021-09-22 22:38:49.555230 : Epoch  4, Batch    462, Loss  0.767473, Average Loss  0.772822, Time  0.275079
2021-09-22 22:38:50.433087 : Epoch  4, Batch    541, Loss  0.772564, Average Loss  0.772023, Time  0.250399
2021-09-22 22:38:51.613362 : Epoch  4, Batch    463, Loss  0.778957, Average Loss  0.772834, Time  0.268021
2021-09-22 22:38:52.454089 : Epoch  4, Batch    542, Loss  0.764076, Average Loss  0.771975, Time  0.281893
2021-09-22 22:38:53.605711 : Epoch  4, Batch    464, Loss  0.774641, Average Loss  0.772807, Time  0.283261
2021-09-22 22:38:53.952246 : Epoch  3, Batch    380, Loss  0.872852, Average Loss  0.871912, Time  0.413170
2021-09-22 22:38:54.416601 : Epoch  4, Batch    543, Loss  0.771769, Average Loss  0.771977, Time  0.253062
2021-09-22 22:38:55.532425 : Epoch  4, Batch    465, Loss  0.773826, Average Loss  0.772836, Time  0.256409
2021-09-22 22:38:56.403962 : Epoch  4, Batch    544, Loss  0.760826, Average Loss  0.771896, Time  0.251697
2021-09-22 22:38:57.547073 : Epoch  4, Batch    466, Loss  0.763968, Average Loss  0.772815, Time  0.256205
2021-09-22 22:38:58.341838 : Epoch  4, Batch    545, Loss  0.775084, Average Loss  0.771890, Time  0.252900
2021-09-22 22:38:58.942074 : Epoch  3, Batch    381, Loss  0.882486, Average Loss  0.872010, Time  0.453967
2021-09-22 22:38:59.463053 : Epoch  4, Batch    467, Loss  0.772574, Average Loss  0.772804, Time  0.255281
2021-09-22 22:39:00.276380 : Epoch  4, Batch    546, Loss  0.769494, Average Loss  0.771899, Time  0.252561
2021-09-22 22:39:01.366976 : Epoch  4, Batch    468, Loss  0.771900, Average Loss  0.772836, Time  0.256209
2021-09-22 22:39:02.195963 : Epoch  4, Batch    547, Loss  0.779062, Average Loss  0.771923, Time  0.252081
2021-09-22 22:39:03.303372 : Epoch  4, Batch    469, Loss  0.768143, Average Loss  0.772810, Time  0.257499
2021-09-22 22:39:03.900691 : Epoch  3, Batch    382, Loss  0.869183, Average Loss  0.872023, Time  0.413025
2021-09-22 22:39:04.106509 : Epoch  4, Batch    548, Loss  0.765152, Average Loss  0.771844, Time  0.251968
2021-09-22 22:39:05.253429 : Epoch  4, Batch    470, Loss  0.784006, Average Loss  0.772884, Time  0.256343
2021-09-22 22:39:05.994109 : Epoch  4, Batch    549, Loss  0.757898, Average Loss  0.771749, Time  0.252990
2021-09-22 22:39:07.187642 : Epoch  4, Batch    471, Loss  0.778546, Average Loss  0.772912, Time  0.256705
2021-09-22 22:39:07.888129 : Epoch  4, Batch    550, Loss  0.763506, Average Loss  0.771736, Time  0.250939
2021-09-22 22:39:08.866754 : Epoch  3, Batch    383, Loss  0.855829, Average Loss  0.871974, Time  0.413208
2021-09-22 22:39:09.146099 : Epoch  4, Batch    472, Loss  0.769266, Average Loss  0.772925, Time  0.255967
2021-09-22 22:39:09.804309 : Epoch  4, Batch    551, Loss  0.763660, Average Loss  0.771724, Time  0.252411
2021-09-22 22:39:11.061231 : Epoch  4, Batch    473, Loss  0.769618, Average Loss  0.772852, Time  0.255686
2021-09-22 22:39:11.731646 : Epoch  4, Batch    552, Loss  0.785312, Average Loss  0.771796, Time  0.266089
2021-09-22 22:39:12.979873 : Epoch  4, Batch    474, Loss  0.771534, Average Loss  0.772817, Time  0.255876
2021-09-22 22:39:13.620065 : Epoch  4, Batch    553, Loss  0.769456, Average Loss  0.771742, Time  0.250889
2021-09-22 22:39:13.840830 : Epoch  3, Batch    384, Loss  0.870524, Average Loss  0.871960, Time  0.414317
2021-09-22 22:39:14.981773 : Epoch  4, Batch    475, Loss  0.771661, Average Loss  0.772827, Time  0.265197
2021-09-22 22:39:15.516775 : Epoch  4, Batch    554, Loss  0.773074, Average Loss  0.771786, Time  0.254301
2021-09-22 22:39:16.903574 : Epoch  4, Batch    476, Loss  0.783644, Average Loss  0.772895, Time  0.256228
2021-09-22 22:39:17.422570 : Epoch  4, Batch    555, Loss  0.774550, Average Loss  0.771768, Time  0.250035
2021-09-22 22:39:18.795120 : Epoch  3, Batch    385, Loss  0.877210, Average Loss  0.871982, Time  0.413524
2021-09-22 22:39:18.833363 : Epoch  4, Batch    477, Loss  0.778592, Average Loss  0.773000, Time  0.256338
2021-09-22 22:39:19.316854 : Epoch  4, Batch    556, Loss  0.777106, Average Loss  0.771879, Time  0.251290
2021-09-22 22:39:20.768208 : Epoch  4, Batch    478, Loss  0.771833, Average Loss  0.773009, Time  0.257075
2021-09-22 22:39:21.214862 : Epoch  4, Batch    557, Loss  0.773884, Average Loss  0.771940, Time  0.249647
2021-09-22 22:39:22.723770 : Epoch  4, Batch    479, Loss  0.759941, Average Loss  0.772976, Time  0.264711
2021-09-22 22:39:23.104235 : Epoch  4, Batch    558, Loss  0.786001, Average Loss  0.771972, Time  0.251893
2021-09-22 22:39:23.755937 : Epoch  3, Batch    386, Loss  0.867003, Average Loss  0.871982, Time  0.413852
2021-09-22 22:39:24.660282 : Epoch  4, Batch    480, Loss  0.771462, Average Loss  0.772908, Time  0.281555
2021-09-22 22:39:24.992507 : Epoch  4, Batch    559, Loss  0.776627, Average Loss  0.771981, Time  0.250678
2021-09-22 22:39:26.963988 : Epoch  4, Batch    481, Loss  0.776691, Average Loss  0.772982, Time  0.455407
2021-09-22 22:39:27.027964 : Epoch  4, Batch    560, Loss  0.768049, Average Loss  0.771932, Time  0.393157
2021-09-22 22:39:28.727109 : Epoch  3, Batch    387, Loss  0.875122, Average Loss  0.872048, Time  0.413248
2021-09-22 22:39:29.149195 : Epoch  4, Batch    482, Loss  0.772191, Average Loss  0.772991, Time  0.513551
2021-09-22 22:39:29.176070 : Epoch  4, Batch    561, Loss  0.767991, Average Loss  0.771926, Time  0.486893
2021-09-22 22:39:31.325824 : Epoch  4, Batch    562, Loss  0.783812, Average Loss  0.771960, Time  0.516974
2021-09-22 22:39:31.358056 : Epoch  4, Batch    483, Loss  0.783232, Average Loss  0.773066, Time  0.512853
2021-09-22 22:39:33.314808 : Epoch  4, Batch    563, Loss  0.779398, Average Loss  0.771953, Time  0.356144
2021-09-22 22:39:33.483306 : Epoch  4, Batch    484, Loss  0.763959, Average Loss  0.773063, Time  0.356670
2021-09-22 22:39:33.705783 : Epoch  3, Batch    388, Loss  0.877653, Average Loss  0.872151, Time  0.413588
2021-09-22 22:39:35.209879 : Epoch  4, Batch    564, Loss  0.773921, Average Loss  0.771974, Time  0.251110
2021-09-22 22:39:35.451536 : Epoch  4, Batch    485, Loss  0.765495, Average Loss  0.773014, Time  0.260896
2021-09-22 22:39:37.094778 : Epoch  4, Batch    565, Loss  0.774997, Average Loss  0.771936, Time  0.250310
2021-09-22 22:39:37.496174 : Epoch  4, Batch    486, Loss  0.765362, Average Loss  0.772999, Time  0.254789
2021-09-22 22:39:38.649874 : Epoch  3, Batch    389, Loss  0.868150, Average Loss  0.872032, Time  0.413535
2021-09-22 22:39:39.005847 : Epoch  4, Batch    566, Loss  0.770601, Average Loss  0.771941, Time  0.252394
2021-09-22 22:39:39.408087 : Epoch  4, Batch    487, Loss  0.776647, Average Loss  0.772966, Time  0.256280
2021-09-22 22:39:40.913227 : Epoch  4, Batch    567, Loss  0.772610, Average Loss  0.771921, Time  0.251798
2021-09-22 22:39:41.337179 : Epoch  4, Batch    488, Loss  0.772550, Average Loss  0.772979, Time  0.261832
2021-09-22 22:39:42.826719 : Epoch  4, Batch    568, Loss  0.765772, Average Loss  0.771948, Time  0.255176
2021-09-22 22:39:43.260482 : Epoch  4, Batch    489, Loss  0.765225, Average Loss  0.772948, Time  0.256419
2021-09-22 22:39:43.612866 : Epoch  3, Batch    390, Loss  0.859366, Average Loss  0.871977, Time  0.413240
2021-09-22 22:39:44.721878 : Epoch  4, Batch    569, Loss  0.777277, Average Loss  0.771947, Time  0.252966
2021-09-22 22:39:45.207377 : Epoch  4, Batch    490, Loss  0.766711, Average Loss  0.772916, Time  0.257012
2021-09-22 22:39:46.636246 : Epoch  4, Batch    570, Loss  0.772653, Average Loss  0.771890, Time  0.255732
2021-09-22 22:39:47.319232 : Epoch  4, Batch    491, Loss  0.775560, Average Loss  0.772990, Time  0.259593
2021-09-22 22:39:48.574060 : Epoch  4, Batch    571, Loss  0.765652, Average Loss  0.771840, Time  0.256376
2021-09-22 22:39:48.613948 : Epoch  3, Batch    391, Loss  0.884347, Average Loss  0.871999, Time  0.457191
2021-09-22 22:39:49.276691 : Epoch  4, Batch    492, Loss  0.759439, Average Loss  0.772852, Time  0.257493
2021-09-22 22:39:50.516960 : Epoch  4, Batch    572, Loss  0.777687, Average Loss  0.771882, Time  0.263224
2021-09-22 22:39:51.232246 : Epoch  4, Batch    493, Loss  0.773827, Average Loss  0.772852, Time  0.254896
2021-09-22 22:39:52.471339 : Epoch  4, Batch    573, Loss  0.766123, Average Loss  0.771832, Time  0.250908
2021-09-22 22:39:53.215347 : Epoch  4, Batch    494, Loss  0.777461, Average Loss  0.772897, Time  0.257000
2021-09-22 22:39:53.575783 : Epoch  3, Batch    392, Loss  0.861385, Average Loss  0.871919, Time  0.413443
2021-09-22 22:39:54.431540 : Epoch  4, Batch    574, Loss  0.770839, Average Loss  0.771801, Time  0.257890
2021-09-22 22:39:55.195536 : Epoch  4, Batch    495, Loss  0.767705, Average Loss  0.772851, Time  0.269027
2021-09-22 22:39:56.379367 : Epoch  4, Batch    575, Loss  0.772702, Average Loss  0.771860, Time  0.251315
2021-09-22 22:39:57.111142 : Epoch  4, Batch    496, Loss  0.772430, Average Loss  0.772858, Time  0.255014
2021-09-22 22:39:58.319479 : Epoch  4, Batch    576, Loss  0.769193, Average Loss  0.771873, Time  0.255952
2021-09-22 22:39:58.539737 : Epoch  3, Batch    393, Loss  0.867560, Average Loss  0.871897, Time  0.416154
2021-09-22 22:39:59.067009 : Epoch  4, Batch    497, Loss  0.780236, Average Loss  0.772941, Time  0.253452
2021-09-22 22:40:00.252974 : Epoch  4, Batch    577, Loss  0.771408, Average Loss  0.771844, Time  0.254373
2021-09-22 22:40:01.020299 : Epoch  4, Batch    498, Loss  0.777051, Average Loss  0.772897, Time  0.259624
2021-09-22 22:40:02.213405 : Epoch  4, Batch    578, Loss  0.770072, Average Loss  0.771877, Time  0.251898
2021-09-22 22:40:02.975744 : Epoch  4, Batch    499, Loss  0.786374, Average Loss  0.772969, Time  0.257909
2021-09-22 22:40:03.491764 : Epoch  3, Batch    394, Loss  0.865581, Average Loss  0.871895, Time  0.413385
2021-09-22 22:40:04.147415 : Epoch  4, Batch    579, Loss  0.766761, Average Loss  0.771865, Time  0.255778
2021-09-22 22:40:04.925985 : Epoch  4, Batch    500, Loss  0.780217, Average Loss  0.772988, Time  0.254889
2021-09-22 22:40:06.083673 : Epoch  4, Batch    580, Loss  0.780018, Average Loss  0.771915, Time  0.255676
2021-09-22 22:40:06.893458 : Epoch  4, Batch    501, Loss  0.781666, Average Loss  0.772978, Time  0.255195
2021-09-22 22:40:08.033469 : Epoch  4, Batch    581, Loss  0.772657, Average Loss  0.771942, Time  0.255828
2021-09-22 22:40:08.499513 : Epoch  3, Batch    395, Loss  0.883471, Average Loss  0.871956, Time  0.413670
2021-09-22 22:40:08.837108 : Epoch  4, Batch    502, Loss  0.775248, Average Loss  0.773043, Time  0.262313
2021-09-22 22:40:09.984886 : Epoch  4, Batch    582, Loss  0.765995, Average Loss  0.771879, Time  0.258619
2021-09-22 22:40:10.859733 : Epoch  4, Batch    503, Loss  0.775624, Average Loss  0.773068, Time  0.255457
2021-09-22 22:40:11.925573 : Epoch  4, Batch    583, Loss  0.774168, Average Loss  0.771941, Time  0.258518
2021-09-22 22:40:12.856436 : Epoch  4, Batch    504, Loss  0.779182, Average Loss  0.773139, Time  0.254724
2021-09-22 22:40:13.480732 : Epoch  3, Batch    396, Loss  0.856062, Average Loss  0.871779, Time  0.413447
2021-09-22 22:40:13.854867 : Epoch  4, Batch    584, Loss  0.771846, Average Loss  0.771934, Time  0.250710
2021-09-22 22:40:14.908162 : Epoch  4, Batch    505, Loss  0.774130, Average Loss  0.773145, Time  0.254951
2021-09-22 22:40:15.794401 : Epoch  4, Batch    585, Loss  0.759939, Average Loss  0.771868, Time  0.256012
2021-09-22 22:40:16.847951 : Epoch  4, Batch    506, Loss  0.756693, Average Loss  0.773079, Time  0.257115
2021-09-22 22:40:17.724966 : Epoch  4, Batch    586, Loss  0.760449, Average Loss  0.771806, Time  0.254063
2021-09-22 22:40:18.445783 : Epoch  3, Batch    397, Loss  0.859956, Average Loss  0.871729, Time  0.414211
2021-09-22 22:40:18.825724 : Epoch  4, Batch    507, Loss  0.771343, Average Loss  0.773092, Time  0.266075
2021-09-22 22:40:19.665142 : Epoch  4, Batch    587, Loss  0.758534, Average Loss  0.771768, Time  0.252802
2021-09-22 22:40:20.757018 : Epoch  4, Batch    508, Loss  0.774504, Average Loss  0.773088, Time  0.256925
2021-09-22 22:40:21.591956 : Epoch  4, Batch    588, Loss  0.773790, Average Loss  0.771772, Time  0.251032
2021-09-22 22:40:22.688214 : Epoch  4, Batch    509, Loss  0.779814, Average Loss  0.773100, Time  0.254687
2021-09-22 22:40:23.471734 : Epoch  3, Batch    398, Loss  0.881570, Average Loss  0.871731, Time  0.415274
2021-09-22 22:40:23.520348 : Epoch  4, Batch    589, Loss  0.760941, Average Loss  0.771707, Time  0.251984
2021-09-22 22:40:25.454382 : Epoch  4, Batch    590, Loss  0.766675, Average Loss  0.771626, Time  0.252423
2021-09-22 22:40:27.167523 : Epoch  4, Batch    510, Loss  0.785488, Average Loss  0.773163, Time  0.255625
2021-09-22 22:40:27.389761 : Epoch  4, Batch    591, Loss  0.776115, Average Loss  0.771637, Time  0.266866
2021-09-22 22:40:28.465875 : Epoch  3, Batch    399, Loss  0.878342, Average Loss  0.871861, Time  0.413710
2021-09-22 22:40:29.276285 : Epoch  4, Batch    511, Loss  0.770678, Average Loss  0.773155, Time  0.391237
2021-09-22 22:40:29.390554 : Epoch  4, Batch    592, Loss  0.769968, Average Loss  0.772537, Time  0.327579
2021-09-22 22:40:31.430138 : Epoch  4, Batch    512, Loss  0.766768, Average Loss  0.773127, Time  0.460988
2021-09-22 22:40:31.499908 : Epoch  4, Batch    593, Loss  0.769708, Average Loss  0.772494, Time  0.430511
2021-09-22 22:40:33.467149 : Epoch  3, Batch    400, Loss  0.872841, Average Loss  0.871830, Time  0.460343
2021-09-22 22:40:33.603637 : Epoch  4, Batch    513, Loss  0.769378, Average Loss  0.773109, Time  0.487477
2021-09-22 22:40:33.643937 : Epoch  4, Batch    594, Loss  0.769714, Average Loss  0.772519, Time  0.451318
2021-09-22 22:40:35.848478 : Epoch  4, Batch    595, Loss  0.767112, Average Loss  0.772343, Time  0.517256
2021-09-22 22:40:35.883472 : Epoch  4, Batch    514, Loss  0.767995, Average Loss  0.773130, Time  0.547203
2021-09-22 22:40:38.064993 : Epoch  4, Batch    596, Loss  0.770237, Average Loss  0.772230, Time  0.503917
2021-09-22 22:40:38.102744 : Epoch  4, Batch    515, Loss  0.766261, Average Loss  0.773104, Time  0.538532
2021-09-22 22:40:38.444581 : Epoch  3, Batch    401, Loss  0.873472, Average Loss  0.871851, Time  0.414018
2021-09-22 22:40:40.205058 : Epoch  4, Batch    597, Loss  0.781639, Average Loss  0.772259, Time  0.444623
2021-09-22 22:40:40.250174 : Epoch  4, Batch    516, Loss  0.753105, Average Loss  0.773055, Time  0.413220
2021-09-22 22:40:42.377869 : Epoch  4, Batch    598, Loss  0.761797, Average Loss  0.772110, Time  0.503914
2021-09-22 22:40:42.411833 : Epoch  4, Batch    517, Loss  0.779269, Average Loss  0.773142, Time  0.491581
2021-09-22 22:40:43.416802 : Epoch  3, Batch    402, Loss  0.875827, Average Loss  0.871900, Time  0.413882
2021-09-22 22:40:44.584788 : Epoch  4, Batch    599, Loss  0.771137, Average Loss  0.772074, Time  0.516655
2021-09-22 22:40:44.618916 : Epoch  4, Batch    518, Loss  0.770702, Average Loss  0.773141, Time  0.513141
2021-09-22 22:40:46.773953 : Epoch  4, Batch    600, Loss  0.771961, Average Loss  0.772040, Time  0.507316
2021-09-22 22:40:46.808679 : Epoch  4, Batch    519, Loss  0.777536, Average Loss  0.773124, Time  0.476404
2021-09-22 22:40:48.381728 : Epoch  3, Batch    403, Loss  0.868198, Average Loss  0.871943, Time  0.413198
2021-09-22 22:40:48.954344 : Epoch  4, Batch    601, Loss  0.780661, Average Loss  0.772035, Time  0.496405
2021-09-22 22:40:48.984928 : Epoch  4, Batch    520, Loss  0.767921, Average Loss  0.773055, Time  0.466296
2021-09-22 22:40:51.033941 : Epoch  4, Batch    602, Loss  0.771446, Average Loss  0.772004, Time  0.416682
2021-09-22 22:40:51.124131 : Epoch  4, Batch    521, Loss  0.776327, Average Loss  0.773058, Time  0.385700
2021-09-22 22:40:53.093086 : Epoch  4, Batch    603, Loss  0.768876, Average Loss  0.771997, Time  0.384103
2021-09-22 22:40:53.225314 : Epoch  4, Batch    522, Loss  0.768494, Average Loss  0.773025, Time  0.366160
2021-09-22 22:40:53.339746 : Epoch  3, Batch    404, Loss  0.868430, Average Loss  0.871963, Time  0.413773
2021-09-22 22:40:55.209902 : Epoch  4, Batch    604, Loss  0.775765, Average Loss  0.771976, Time  0.421255
2021-09-22 22:40:55.287620 : Epoch  4, Batch    523, Loss  0.782972, Average Loss  0.773094, Time  0.386371
2021-09-22 22:40:57.168578 : Epoch  4, Batch    605, Loss  0.780211, Average Loss  0.772025, Time  0.296305
2021-09-22 22:40:57.354327 : Epoch  4, Batch    524, Loss  0.782577, Average Loss  0.773106, Time  0.284079
2021-09-22 22:40:58.275892 : Epoch  3, Batch    405, Loss  0.877214, Average Loss  0.871911, Time  0.413940
2021-09-22 22:40:59.109857 : Epoch  4, Batch    606, Loss  0.773110, Average Loss  0.772029, Time  0.266861
2021-09-22 22:40:59.403445 : Epoch  4, Batch    525, Loss  0.771091, Average Loss  0.773146, Time  0.288527
2021-09-22 22:41:01.057384 : Epoch  4, Batch    607, Loss  0.785421, Average Loss  0.772046, Time  0.251264
2021-09-22 22:41:01.333731 : Epoch  4, Batch    526, Loss  0.780756, Average Loss  0.773244, Time  0.255857
2021-09-22 22:41:03.013812 : Epoch  4, Batch    608, Loss  0.759541, Average Loss  0.771912, Time  0.254205
2021-09-22 22:41:03.228954 : Epoch  3, Batch    406, Loss  0.870735, Average Loss  0.871839, Time  0.412834
2021-09-22 22:41:03.293319 : Epoch  4, Batch    527, Loss  0.772845, Average Loss  0.773219, Time  0.257905
2021-09-22 22:41:04.945348 : Epoch  4, Batch    609, Loss  0.784282, Average Loss  0.771938, Time  0.250877
2021-09-22 22:41:05.272537 : Epoch  4, Batch    528, Loss  0.770684, Average Loss  0.773252, Time  0.258484
2021-09-22 22:41:07.288451 : Epoch  4, Batch    529, Loss  0.767100, Average Loss  0.773212, Time  0.256546
2021-09-22 22:41:08.184811 : Epoch  3, Batch    407, Loss  0.882272, Average Loss  0.871866, Time  0.412845
2021-09-22 22:41:09.274280 : Epoch  4, Batch    530, Loss  0.771145, Average Loss  0.773141, Time  0.254990
2021-09-22 22:41:09.989864 : Epoch  4, Batch    610, Loss  0.761492, Average Loss  0.771859, Time  0.255596
2021-09-22 22:41:11.264733 : Epoch  4, Batch    531, Loss  0.766965, Average Loss  0.773063, Time  0.255260
2021-09-22 22:41:11.904294 : Epoch  4, Batch    611, Loss  0.768578, Average Loss  0.771859, Time  0.258113
2021-09-22 22:41:13.142032 : Epoch  3, Batch    408, Loss  0.870386, Average Loss  0.871848, Time  0.413227
2021-09-22 22:41:13.226062 : Epoch  4, Batch    532, Loss  0.782873, Average Loss  0.773175, Time  0.256712
2021-09-22 22:41:13.838178 : Epoch  4, Batch    612, Loss  0.774190, Average Loss  0.771848, Time  0.251083
2021-09-22 22:41:15.232901 : Epoch  4, Batch    533, Loss  0.770079, Average Loss  0.773226, Time  0.258224
2021-09-22 22:41:15.737989 : Epoch  4, Batch    613, Loss  0.763787, Average Loss  0.771787, Time  0.249434
2021-09-22 22:41:17.180769 : Epoch  4, Batch    534, Loss  0.761367, Average Loss  0.773193, Time  0.261866
2021-09-22 22:41:17.608966 : Epoch  4, Batch    614, Loss  0.788204, Average Loss  0.771869, Time  0.249103
2021-09-22 22:41:18.144791 : Epoch  3, Batch    409, Loss  0.866472, Average Loss  0.871798, Time  0.464307
2021-09-22 22:41:19.150049 : Epoch  4, Batch    535, Loss  0.779111, Average Loss  0.773200, Time  0.282350
2021-09-22 22:41:19.510079 : Epoch  4, Batch    615, Loss  0.769618, Average Loss  0.771870, Time  0.249846
2021-09-22 22:41:21.078841 : Epoch  4, Batch    536, Loss  0.780265, Average Loss  0.773297, Time  0.255894
2021-09-22 22:41:21.436397 : Epoch  4, Batch    616, Loss  0.784373, Average Loss  0.771911, Time  0.255678
2021-09-22 22:41:23.026294 : Epoch  4, Batch    537, Loss  0.765343, Average Loss  0.773267, Time  0.254317
2021-09-22 22:41:23.124734 : Epoch  3, Batch    410, Loss  0.867381, Average Loss  0.871803, Time  0.420538
2021-09-22 22:41:23.358691 : Epoch  4, Batch    617, Loss  0.769632, Average Loss  0.771937, Time  0.261140
2021-09-22 22:41:24.981864 : Epoch  4, Batch    538, Loss  0.772054, Average Loss  0.773259, Time  0.254943
2021-09-22 22:41:25.284149 : Epoch  4, Batch    618, Loss  0.764502, Average Loss  0.771893, Time  0.258274
2021-09-22 22:41:26.898131 : Epoch  4, Batch    539, Loss  0.764255, Average Loss  0.773205, Time  0.255650
2021-09-22 22:41:27.213932 : Epoch  4, Batch    619, Loss  0.785916, Average Loss  0.771871, Time  0.253660
2021-09-22 22:41:28.076118 : Epoch  3, Batch    411, Loss  0.866822, Average Loss  0.871760, Time  0.413791
2021-09-22 22:41:29.120067 : Epoch  4, Batch    620, Loss  0.767113, Average Loss  0.771841, Time  0.258819
2021-09-22 22:41:31.111784 : Epoch  4, Batch    621, Loss  0.769910, Average Loss  0.771841, Time  0.329776
2021-09-22 22:41:33.031950 : Epoch  4, Batch    622, Loss  0.774176, Average Loss  0.771798, Time  0.251097
2021-09-22 22:41:34.995567 : Epoch  4, Batch    623, Loss  0.773367, Average Loss  0.771815, Time  0.270050
2021-09-22 22:41:36.919413 : Epoch  4, Batch    624, Loss  0.773995, Average Loss  0.771774, Time  0.255141
2021-09-22 22:41:38.013976 : Epoch  3, Batch    413, Loss  0.861482, Average Loss  0.871803, Time  0.414505
2021-09-22 22:41:38.838270 : Epoch  4, Batch    625, Loss  0.774566, Average Loss  0.771824, Time  0.251781
2021-09-22 22:41:40.765474 : Epoch  4, Batch    626, Loss  0.769936, Average Loss  0.771879, Time  0.249968
2021-09-22 22:41:42.668033 : Epoch  4, Batch    627, Loss  0.779360, Average Loss  0.771916, Time  0.250946
2021-09-22 22:41:42.964004 : Epoch  3, Batch    414, Loss  0.859464, Average Loss  0.871726, Time  0.413767
2021-09-22 22:41:44.584766 : Epoch  4, Batch    628, Loss  0.772908, Average Loss  0.771874, Time  0.253926
2021-09-22 22:41:46.490376 : Epoch  4, Batch    629, Loss  0.765997, Average Loss  0.771877, Time  0.252040
2021-09-22 22:41:47.913727 : Epoch  3, Batch    415, Loss  0.889340, Average Loss  0.871834, Time  0.414081
2021-09-22 22:41:48.464411 : Epoch  4, Batch    630, Loss  0.764120, Average Loss  0.771855, Time  0.326430
2021-09-22 22:41:50.403934 : Epoch  4, Batch    631, Loss  0.767186, Average Loss  0.771884, Time  0.275863
2021-09-22 22:41:52.304952 : Epoch  4, Batch    632, Loss  0.777834, Average Loss  0.771940, Time  0.256307
2021-09-22 22:41:52.870923 : Epoch  3, Batch    416, Loss  0.887408, Average Loss  0.871927, Time  0.413232
2021-09-22 22:41:54.222552 : Epoch  4, Batch    633, Loss  0.771285, Average Loss  0.771921, Time  0.250294
2021-09-22 22:41:56.114557 : Epoch  4, Batch    634, Loss  0.763896, Average Loss  0.771937, Time  0.249564
2021-09-22 22:41:57.823959 : Epoch  3, Batch    417, Loss  0.870243, Average Loss  0.871880, Time  0.412986
2021-09-22 22:41:58.025654 : Epoch  4, Batch    635, Loss  0.765993, Average Loss  0.771901, Time  0.250198
2021-09-22 22:41:59.920230 : Epoch  4, Batch    636, Loss  0.778293, Average Loss  0.771948, Time  0.249758
2021-09-22 22:42:01.841271 : Epoch  4, Batch    637, Loss  0.768107, Average Loss  0.771978, Time  0.252048
2021-09-22 22:42:02.834792 : Epoch  3, Batch    418, Loss  0.876972, Average Loss  0.871931, Time  0.461603
2021-09-22 22:42:03.845009 : Epoch  4, Batch    638, Loss  0.773289, Average Loss  0.772052, Time  0.327667
2021-09-22 22:42:07.788101 : Epoch  3, Batch    419, Loss  0.848654, Average Loss  0.871814, Time  0.412954
2021-09-22 22:42:08.310540 : Epoch  4, Batch    639, Loss  0.775445, Average Loss  0.772097, Time  0.266166
2021-09-22 22:42:12.733063 : Epoch  3, Batch    420, Loss  0.874188, Average Loss  0.871866, Time  0.413206
2021-09-22 22:42:17.693016 : Epoch  3, Batch    421, Loss  0.870054, Average Loss  0.871870, Time  0.413462
2021-09-22 22:42:22.655883 : Epoch  3, Batch    422, Loss  0.869837, Average Loss  0.871860, Time  0.414185
2021-09-22 22:42:27.620797 : Epoch  3, Batch    423, Loss  0.862638, Average Loss  0.871825, Time  0.413871
2021-09-22 22:42:32.588320 : Epoch  3, Batch    424, Loss  0.880295, Average Loss  0.871891, Time  0.414349
2021-09-22 22:42:37.542034 : Epoch  3, Batch    425, Loss  0.859737, Average Loss  0.871884, Time  0.413039
2021-09-22 22:42:39.858226 : CheckPoint: Validation Loss  0.00033958, Best Loss  0.00030514
2021-09-22 22:42:41.834247 : Epoch  4, Batch    540, Loss  0.776775, Average Loss  0.773211, Time  0.257727
2021-09-22 22:42:42.506172 : Epoch  3, Batch    426, Loss  0.876663, Average Loss  0.871863, Time  0.413815
2021-09-22 22:42:43.785242 : Epoch  4, Batch    541, Loss  0.771471, Average Loss  0.773126, Time  0.256646
2021-09-22 22:42:45.736951 : Epoch  4, Batch    542, Loss  0.768954, Average Loss  0.773098, Time  0.254149
2021-09-22 22:42:47.465781 : Epoch  3, Batch    427, Loss  0.855557, Average Loss  0.871761, Time  0.413471
2021-09-22 22:42:47.720886 : Epoch  4, Batch    543, Loss  0.778691, Average Loss  0.773114, Time  0.271978
2021-09-22 22:42:49.672691 : Epoch  4, Batch    544, Loss  0.771602, Average Loss  0.773086, Time  0.259592
2021-09-22 22:42:51.634366 : Epoch  4, Batch    545, Loss  0.780533, Average Loss  0.773144, Time  0.254490
2021-09-22 22:42:52.472364 : Epoch  3, Batch    428, Loss  0.876637, Average Loss  0.871803, Time  0.452103
2021-09-22 22:42:53.608881 : Epoch  4, Batch    546, Loss  0.780318, Average Loss  0.773133, Time  0.254823
2021-09-22 22:42:55.565316 : Epoch  4, Batch    547, Loss  0.774175, Average Loss  0.773179, Time  0.257918
2021-09-22 22:42:57.426788 : Epoch  3, Batch    429, Loss  0.869958, Average Loss  0.871774, Time  0.414435
2021-09-22 22:42:57.642174 : Epoch  4, Batch    548, Loss  0.773701, Average Loss  0.773249, Time  0.337898
2021-09-22 22:42:59.571245 : Epoch  4, Batch    549, Loss  0.760158, Average Loss  0.773159, Time  0.257390
2021-09-22 22:43:01.559254 : Epoch  4, Batch    550, Loss  0.779394, Average Loss  0.773228, Time  0.255479
2021-09-22 22:43:02.394899 : Epoch  3, Batch    430, Loss  0.863356, Average Loss  0.871827, Time  0.413609
2021-09-22 22:43:03.528951 : Epoch  4, Batch    551, Loss  0.773632, Average Loss  0.773218, Time  0.258895
2021-09-22 22:43:05.504617 : Epoch  4, Batch    552, Loss  0.777519, Average Loss  0.773266, Time  0.254463
2021-09-22 22:43:07.348871 : Epoch  3, Batch    431, Loss  0.876573, Average Loss  0.871901, Time  0.412871
2021-09-22 22:43:07.472100 : Epoch  4, Batch    553, Loss  0.779114, Average Loss  0.773258, Time  0.263588
2021-09-22 22:43:09.532577 : Epoch  4, Batch    554, Loss  0.772118, Average Loss  0.773254, Time  0.334313
2021-09-22 22:43:11.476455 : Epoch  4, Batch    555, Loss  0.771970, Average Loss  0.773227, Time  0.261122
2021-09-22 22:43:12.298067 : Epoch  3, Batch    432, Loss  0.875863, Average Loss  0.871898, Time  0.413167
2021-09-22 22:43:13.425548 : Epoch  4, Batch    556, Loss  0.774733, Average Loss  0.773193, Time  0.254939
2021-09-22 22:43:15.402120 : Epoch  4, Batch    557, Loss  0.768329, Average Loss  0.773126, Time  0.257021
2021-09-22 22:43:17.262324 : Epoch  3, Batch    433, Loss  0.888227, Average Loss  0.871993, Time  0.413117
2021-09-22 22:43:17.362640 : Epoch  4, Batch    558, Loss  0.776042, Average Loss  0.773178, Time  0.253653
2021-09-22 22:43:19.320222 : Epoch  4, Batch    559, Loss  0.770727, Average Loss  0.773200, Time  0.254760
2021-09-22 22:43:20.180630 : CheckPoint: Validation Loss  0.00032417, Best Loss  0.00030694
2021-09-22 22:43:21.279536 : Epoch  4, Batch    560, Loss  0.767570, Average Loss  0.773132, Time  0.258132
2021-09-22 22:43:22.113530 : Epoch  4, Batch    640, Loss  0.771768, Average Loss  0.772070, Time  0.255563
2021-09-22 22:43:22.225114 : Epoch  3, Batch    434, Loss  0.873807, Average Loss  0.872026, Time  0.414078
2021-09-22 22:43:23.268928 : Epoch  4, Batch    561, Loss  0.773976, Average Loss  0.773102, Time  0.279852
2021-09-22 22:43:24.022048 : Epoch  4, Batch    641, Loss  0.774190, Average Loss  0.772102, Time  0.256743
2021-09-22 22:43:25.318611 : Epoch  4, Batch    562, Loss  0.770468, Average Loss  0.773114, Time  0.256825
2021-09-22 22:43:25.928088 : Epoch  4, Batch    642, Loss  0.767931, Average Loss  0.772064, Time  0.250016
2021-09-22 22:43:27.196759 : Epoch  3, Batch    435, Loss  0.867032, Average Loss  0.871986, Time  0.415323
2021-09-22 22:43:27.285801 : Epoch  4, Batch    563, Loss  0.771047, Average Loss  0.773108, Time  0.254549
2021-09-22 22:43:27.835081 : Epoch  4, Batch    643, Loss  0.759981, Average Loss  0.772036, Time  0.248984
2021-09-22 22:43:29.308457 : Epoch  4, Batch    564, Loss  0.768475, Average Loss  0.773064, Time  0.255054
2021-09-22 22:43:29.749226 : Epoch  4, Batch    644, Loss  0.775083, Average Loss  0.772014, Time  0.254443
2021-09-22 22:43:31.284710 : Epoch  4, Batch    565, Loss  0.773380, Average Loss  0.773041, Time  0.255747
2021-09-22 22:43:31.645052 : Epoch  4, Batch    645, Loss  0.777449, Average Loss  0.772055, Time  0.249287
2021-09-22 22:43:32.169026 : Epoch  3, Batch    436, Loss  0.870323, Average Loss  0.871982, Time  0.413809
2021-09-22 22:43:33.321388 : Epoch  4, Batch    566, Loss  0.771415, Average Loss  0.773077, Time  0.256710
2021-09-22 22:43:33.559798 : Epoch  4, Batch    646, Loss  0.779447, Average Loss  0.772158, Time  0.257812
2021-09-22 22:43:35.393701 : Epoch  4, Batch    567, Loss  0.773287, Average Loss  0.773118, Time  0.360205
2021-09-22 22:43:35.533946 : Epoch  4, Batch    647, Loss  0.767131, Average Loss  0.772091, Time  0.320858
2021-09-22 22:43:37.238891 : Epoch  3, Batch    437, Loss  0.870884, Average Loss  0.871960, Time  0.462209
2021-09-22 22:43:37.686596 : Epoch  4, Batch    648, Loss  0.768464, Average Loss  0.772063, Time  0.516513
2021-09-22 22:43:37.716167 : Epoch  4, Batch    568, Loss  0.785983, Average Loss  0.773249, Time  0.481290
2021-09-22 22:43:39.874701 : Epoch  4, Batch    649, Loss  0.774510, Average Loss  0.772020, Time  0.505238
2021-09-22 22:43:39.917447 : Epoch  4, Batch    569, Loss  0.773279, Average Loss  0.773283, Time  0.478670
2021-09-22 22:43:41.959354 : Epoch  4, Batch    650, Loss  0.767503, Average Loss  0.771979, Time  0.440669
2021-09-22 22:43:42.033928 : Epoch  4, Batch    570, Loss  0.760550, Average Loss  0.773180, Time  0.412628
2021-09-22 22:43:42.263769 : Epoch  3, Batch    438, Loss  0.868670, Average Loss  0.871929, Time  0.413062
2021-09-22 22:43:43.983874 : Epoch  4, Batch    651, Loss  0.774340, Average Loss  0.772017, Time  0.353430
2021-09-22 22:43:44.128542 : Epoch  4, Batch    571, Loss  0.773984, Average Loss  0.773166, Time  0.322761
2021-09-22 22:43:45.899673 : Epoch  4, Batch    652, Loss  0.773989, Average Loss  0.772065, Time  0.263530
2021-09-22 22:43:46.122841 : Epoch  4, Batch    572, Loss  0.774019, Average Loss  0.773163, Time  0.283276
2021-09-22 22:43:47.215008 : Epoch  3, Batch    439, Loss  0.871348, Average Loss  0.871965, Time  0.413221
2021-09-22 22:43:47.807770 : Epoch  4, Batch    653, Loss  0.773878, Average Loss  0.772013, Time  0.252323
2021-09-22 22:43:48.148305 : Epoch  4, Batch    573, Loss  0.772642, Average Loss  0.773114, Time  0.257023
2021-09-22 22:43:49.717371 : Epoch  4, Batch    654, Loss  0.786096, Average Loss  0.772094, Time  0.250671
2021-09-22 22:43:50.235002 : Epoch  4, Batch    574, Loss  0.768137, Average Loss  0.773118, Time  0.282674
2021-09-22 22:43:51.613189 : Epoch  4, Batch    655, Loss  0.769928, Average Loss  0.772116, Time  0.252019
2021-09-22 22:43:52.198741 : Epoch  3, Batch    440, Loss  0.881664, Average Loss  0.871982, Time  0.413303
2021-09-22 22:43:52.245359 : Epoch  4, Batch    575, Loss  0.770085, Average Loss  0.773049, Time  0.253673
2021-09-22 22:43:53.523027 : Epoch  4, Batch    656, Loss  0.766343, Average Loss  0.772098, Time  0.252057
2021-09-22 22:43:54.322671 : Epoch  4, Batch    576, Loss  0.777805, Average Loss  0.773123, Time  0.254830
2021-09-22 22:43:55.436915 : Epoch  4, Batch    657, Loss  0.762790, Average Loss  0.772024, Time  0.258556
2021-09-22 22:43:56.288276 : Epoch  4, Batch    577, Loss  0.777879, Average Loss  0.773149, Time  0.254986
2021-09-22 22:43:57.148997 : Epoch  3, Batch    441, Loss  0.865595, Average Loss  0.871942, Time  0.412840
2021-09-22 22:43:57.336567 : Epoch  4, Batch    658, Loss  0.772661, Average Loss  0.771965, Time  0.249214
2021-09-22 22:43:58.311405 : Epoch  4, Batch    578, Loss  0.767316, Average Loss  0.773055, Time  0.285493
2021-09-22 22:43:59.236922 : Epoch  4, Batch    659, Loss  0.776476, Average Loss  0.771953, Time  0.252075
2021-09-22 22:44:00.321811 : Epoch  4, Batch    579, Loss  0.761147, Average Loss  0.772985, Time  0.290064
2021-09-22 22:44:01.136562 : Epoch  4, Batch    660, Loss  0.765708, Average Loss  0.771960, Time  0.252677
2021-09-22 22:44:02.156157 : Epoch  3, Batch    442, Loss  0.877329, Average Loss  0.871950, Time  0.413404
2021-09-22 22:44:02.342979 : Epoch  4, Batch    580, Loss  0.768947, Average Loss  0.772971, Time  0.262001
2021-09-22 22:44:03.044486 : Epoch  4, Batch    661, Loss  0.778912, Average Loss  0.771989, Time  0.252066
2021-09-22 22:44:04.312071 : Epoch  4, Batch    581, Loss  0.769787, Average Loss  0.773021, Time  0.259309
2021-09-22 22:44:04.981823 : Epoch  4, Batch    662, Loss  0.779703, Average Loss  0.771992, Time  0.253779
2021-09-22 22:44:06.285904 : Epoch  4, Batch    582, Loss  0.768712, Average Loss  0.772923, Time  0.258942
2021-09-22 22:44:06.894404 : Epoch  4, Batch    663, Loss  0.780529, Average Loss  0.772001, Time  0.257975
2021-09-22 22:44:07.124767 : Epoch  3, Batch    443, Loss  0.870411, Average Loss  0.871928, Time  0.414277
2021-09-22 22:44:08.247595 : Epoch  4, Batch    583, Loss  0.767810, Average Loss  0.772879, Time  0.254738
2021-09-22 22:44:08.822209 : Epoch  4, Batch    664, Loss  0.780692, Average Loss  0.772007, Time  0.256976
2021-09-22 22:44:10.204918 : Epoch  4, Batch    584, Loss  0.759181, Average Loss  0.772798, Time  0.254759
2021-09-22 22:44:10.747354 : Epoch  4, Batch    665, Loss  0.782822, Average Loss  0.772110, Time  0.255050
2021-09-22 22:44:12.095952 : Epoch  3, Batch    444, Loss  0.875913, Average Loss  0.871915, Time  0.425191
2021-09-22 22:44:12.163382 : Epoch  4, Batch    585, Loss  0.775604, Average Loss  0.772802, Time  0.252817
2021-09-22 22:44:12.652939 : Epoch  4, Batch    666, Loss  0.781259, Average Loss  0.772136, Time  0.252438
2021-09-22 22:44:14.104370 : Epoch  4, Batch    586, Loss  0.763594, Average Loss  0.772751, Time  0.254083
2021-09-22 22:44:14.576110 : Epoch  4, Batch    667, Loss  0.773314, Average Loss  0.772143, Time  0.256867
2021-09-22 22:44:16.162146 : Epoch  4, Batch    587, Loss  0.780540, Average Loss  0.772798, Time  0.256829
2021-09-22 22:44:16.481990 : Epoch  4, Batch    668, Loss  0.775583, Average Loss  0.772152, Time  0.251621
2021-09-22 22:44:18.138731 : Epoch  4, Batch    588, Loss  0.780309, Average Loss  0.772803, Time  0.258001
2021-09-22 22:44:18.401911 : Epoch  4, Batch    669, Loss  0.754879, Average Loss  0.772116, Time  0.257588
2021-09-22 22:44:20.098676 : Epoch  4, Batch    589, Loss  0.781958, Average Loss  0.772874, Time  0.254611
2021-09-22 22:44:20.363219 : Epoch  4, Batch    670, Loss  0.759283, Average Loss  0.772026, Time  0.251904
2021-09-22 22:44:22.061760 : Epoch  4, Batch    590, Loss  0.766748, Average Loss  0.772861, Time  0.262809
2021-09-22 22:44:22.278941 : Epoch  4, Batch    671, Loss  0.767715, Average Loss  0.772008, Time  0.264883
2021-09-22 22:44:24.135838 : Epoch  4, Batch    591, Loss  0.766324, Average Loss  0.772830, Time  0.370700
2021-09-22 22:44:24.261334 : Epoch  4, Batch    672, Loss  0.769625, Average Loss  0.772020, Time  0.333882
2021-09-22 22:44:26.293572 : Epoch  4, Batch    592, Loss  0.775446, Average Loss  0.772801, Time  0.472399
2021-09-22 22:44:26.339040 : Epoch  4, Batch    673, Loss  0.781354, Average Loss  0.772017, Time  0.427920
2021-09-22 22:44:28.511200 : Epoch  4, Batch    593, Loss  0.779347, Average Loss  0.772818, Time  0.509202
2021-09-22 22:44:28.538656 : Epoch  4, Batch    674, Loss  0.768279, Average Loss  0.771960, Time  0.525923
2021-09-22 22:44:30.725768 : Epoch  4, Batch    675, Loss  0.780396, Average Loss  0.771920, Time  0.515468
2021-09-22 22:44:30.760291 : Epoch  4, Batch    594, Loss  0.764308, Average Loss  0.772809, Time  0.531720
2021-09-22 22:44:32.911559 : Epoch  4, Batch    595, Loss  0.751762, Average Loss  0.772666, Time  0.449497
2021-09-22 22:44:32.945391 : Epoch  4, Batch    676, Loss  0.774420, Average Loss  0.771983, Time  0.543269
2021-09-22 22:44:35.116945 : Epoch  4, Batch    677, Loss  0.771506, Average Loss  0.771948, Time  0.504103
2021-09-22 22:44:35.171494 : Epoch  4, Batch    596, Loss  0.775712, Average Loss  0.772647, Time  0.516693
2021-09-22 22:44:37.265119 : Epoch  4, Batch    678, Loss  0.771173, Average Loss  0.771979, Time  0.466084
2021-09-22 22:44:37.324788 : Epoch  4, Batch    597, Loss  0.768892, Average Loss  0.772615, Time  0.440822
2021-09-22 22:44:39.372972 : Epoch  4, Batch    679, Loss  0.766974, Average Loss  0.771966, Time  0.411820
2021-09-22 22:44:39.467838 : Epoch  4, Batch    598, Loss  0.769294, Average Loss  0.772604, Time  0.379505
2021-09-22 22:44:41.489662 : Epoch  4, Batch    680, Loss  0.770268, Average Loss  0.771916, Time  0.443582
2021-09-22 22:44:41.557984 : Epoch  4, Batch    599, Loss  0.767794, Average Loss  0.772511, Time  0.405420
2021-09-22 22:44:43.555963 : Epoch  4, Batch    681, Loss  0.753849, Average Loss  0.771805, Time  0.392861
2021-09-22 22:44:43.663100 : Epoch  4, Batch    600, Loss  0.779808, Average Loss  0.772557, Time  0.360968
2021-09-22 22:44:45.645331 : Epoch  4, Batch    682, Loss  0.767772, Average Loss  0.771765, Time  0.407502
2021-09-22 22:44:45.746956 : Epoch  4, Batch    601, Loss  0.755931, Average Loss  0.772534, Time  0.370528
2021-09-22 22:44:47.779313 : Epoch  4, Batch    683, Loss  0.771500, Average Loss  0.771723, Time  0.449728
2021-09-22 22:44:47.843977 : Epoch  4, Batch    602, Loss  0.770896, Average Loss  0.772514, Time  0.413647
2021-09-22 22:44:49.871213 : Epoch  4, Batch    684, Loss  0.772209, Average Loss  0.771738, Time  0.431185
2021-09-22 22:44:49.953403 : Epoch  4, Batch    603, Loss  0.766707, Average Loss  0.772459, Time  0.400519
2021-09-22 22:44:52.007450 : Epoch  4, Batch    685, Loss  0.771964, Average Loss  0.771748, Time  0.458870
2021-09-22 22:44:52.073849 : Epoch  4, Batch    604, Loss  0.770401, Average Loss  0.772495, Time  0.421929
2021-09-22 22:44:54.156155 : Epoch  4, Batch    686, Loss  0.769977, Average Loss  0.771761, Time  0.475168
2021-09-22 22:44:54.211631 : Epoch  4, Batch    605, Loss  0.775226, Average Loss  0.772493, Time  0.436387
2021-09-22 22:44:56.252745 : Epoch  4, Batch    687, Loss  0.769360, Average Loss  0.771778, Time  0.419083
2021-09-22 22:44:56.374865 : Epoch  4, Batch    606, Loss  0.772601, Average Loss  0.772529, Time  0.410530
2021-09-22 22:44:58.213643 : Epoch  4, Batch    688, Loss  0.768528, Average Loss  0.771809, Time  0.301912
2021-09-22 22:44:58.405002 : Epoch  4, Batch    607, Loss  0.774683, Average Loss  0.772560, Time  0.286572
2021-09-22 22:45:00.126445 : Epoch  4, Batch    689, Loss  0.769907, Average Loss  0.771850, Time  0.251431
2021-09-22 22:45:00.385294 : Epoch  4, Batch    608, Loss  0.775266, Average Loss  0.772548, Time  0.259666
2021-09-22 22:45:02.047490 : Epoch  4, Batch    690, Loss  0.777818, Average Loss  0.771902, Time  0.253678
2021-09-22 22:45:02.338194 : Epoch  4, Batch    609, Loss  0.780929, Average Loss  0.772583, Time  0.254038
2021-09-22 22:45:03.972717 : Epoch  4, Batch    691, Loss  0.779364, Average Loss  0.771963, Time  0.253273
2021-09-22 22:45:05.887387 : Epoch  4, Batch    692, Loss  0.771396, Average Loss  0.771967, Time  0.250793
2021-09-22 22:45:06.939372 : Epoch  4, Batch    610, Loss  0.759503, Average Loss  0.772490, Time  0.258825
2021-09-22 22:45:07.811122 : Epoch  4, Batch    693, Loss  0.771142, Average Loss  0.771931, Time  0.252506
2021-09-22 22:45:09.064672 : Epoch  4, Batch    611, Loss  0.775969, Average Loss  0.772500, Time  0.264263
2021-09-22 22:45:09.738662 : Epoch  4, Batch    694, Loss  0.783379, Average Loss  0.771933, Time  0.250610
2021-09-22 22:45:11.001431 : Epoch  4, Batch    612, Loss  0.778563, Average Loss  0.772521, Time  0.262596
2021-09-22 22:45:11.642073 : Epoch  4, Batch    695, Loss  0.774263, Average Loss  0.771950, Time  0.250165
2021-09-22 22:45:12.988799 : Epoch  4, Batch    613, Loss  0.780493, Average Loss  0.772522, Time  0.286937
2021-09-22 22:45:13.571207 : Epoch  4, Batch    696, Loss  0.782052, Average Loss  0.772009, Time  0.252171
2021-09-22 22:45:15.040116 : Epoch  4, Batch    614, Loss  0.772237, Average Loss  0.772529, Time  0.255879
2021-09-22 22:45:15.469536 : Epoch  4, Batch    697, Loss  0.772208, Average Loss  0.771986, Time  0.249915
2021-09-22 22:45:17.030257 : Epoch  4, Batch    615, Loss  0.767680, Average Loss  0.772474, Time  0.258470
2021-09-22 22:45:17.383308 : Epoch  4, Batch    698, Loss  0.771183, Average Loss  0.772025, Time  0.258003
2021-09-22 22:45:18.994159 : Epoch  4, Batch    616, Loss  0.767756, Average Loss  0.772500, Time  0.256558
2021-09-22 22:45:19.304856 : Epoch  4, Batch    699, Loss  0.765574, Average Loss  0.772006, Time  0.252041
2021-09-22 22:45:21.069749 : Epoch  4, Batch    617, Loss  0.780227, Average Loss  0.772561, Time  0.324671
2021-09-22 22:45:21.237046 : Epoch  4, Batch    700, Loss  0.775425, Average Loss  0.771966, Time  0.286880
2021-09-22 22:45:23.322951 : Epoch  4, Batch    701, Loss  0.776379, Average Loss  0.771977, Time  0.442268
2021-09-22 22:45:23.353967 : Epoch  4, Batch    618, Loss  0.764322, Average Loss  0.772512, Time  0.527307
2021-09-22 22:45:25.484336 : Epoch  4, Batch    702, Loss  0.780630, Average Loss  0.772011, Time  0.483282
2021-09-22 22:45:25.536005 : Epoch  4, Batch    619, Loss  0.766790, Average Loss  0.772495, Time  0.463181
2021-09-22 22:45:27.614291 : Epoch  4, Batch    703, Loss  0.773387, Average Loss  0.772011, Time  0.472040
2021-09-22 22:45:27.667890 : Epoch  4, Batch    620, Loss  0.781780, Average Loss  0.772563, Time  0.441108
2021-09-22 22:45:29.679061 : Epoch  4, Batch    704, Loss  0.771368, Average Loss  0.771982, Time  0.416080
2021-09-22 22:45:29.767925 : Epoch  4, Batch    621, Loss  0.779736, Average Loss  0.772547, Time  0.382358
2021-09-22 22:45:31.708389 : Epoch  4, Batch    705, Loss  0.776892, Average Loss  0.771979, Time  0.368733
2021-09-22 22:45:31.836528 : Epoch  4, Batch    622, Loss  0.776654, Average Loss  0.772611, Time  0.330434
2021-09-22 22:45:33.609377 : Epoch  4, Batch    706, Loss  0.766995, Average Loss  0.771998, Time  0.254128
2021-09-22 22:45:33.852158 : Epoch  4, Batch    623, Loss  0.773307, Average Loss  0.772601, Time  0.273086
2021-09-22 22:45:35.511416 : Epoch  4, Batch    707, Loss  0.771156, Average Loss  0.771942, Time  0.251448
2021-09-22 22:45:35.842376 : Epoch  4, Batch    624, Loss  0.772870, Average Loss  0.772673, Time  0.261996
2021-09-22 22:45:37.424640 : Epoch  4, Batch    708, Loss  0.771312, Average Loss  0.771931, Time  0.251327
2021-09-22 22:45:37.849735 : Epoch  4, Batch    625, Loss  0.773188, Average Loss  0.772728, Time  0.279552
2021-09-22 22:45:39.340952 : Epoch  4, Batch    709, Loss  0.773977, Average Loss  0.771970, Time  0.251347
2021-09-22 22:45:39.820773 : Epoch  4, Batch    626, Loss  0.769941, Average Loss  0.772691, Time  0.257865
2021-09-22 22:45:41.769506 : Epoch  4, Batch    627, Loss  0.771647, Average Loss  0.772650, Time  0.254890
2021-09-22 22:45:43.838400 : Epoch  4, Batch    628, Loss  0.763496, Average Loss  0.772580, Time  0.363351
2021-09-22 22:45:43.974419 : Epoch  4, Batch    710, Loss  0.784244, Average Loss  0.772079, Time  0.329922
2021-09-22 22:45:46.152043 : Epoch  4, Batch    629, Loss  0.777008, Average Loss  0.772621, Time  0.508353
2021-09-22 22:45:46.188020 : Epoch  4, Batch    711, Loss  0.761775, Average Loss  0.772094, Time  0.521791
2021-09-22 22:45:48.275253 : Epoch  4, Batch    712, Loss  0.767925, Average Loss  0.772062, Time  0.430006
2021-09-22 22:45:48.360861 : Epoch  4, Batch    630, Loss  0.782445, Average Loss  0.772638, Time  0.404376
2021-09-22 22:45:50.336927 : Epoch  4, Batch    713, Loss  0.775732, Average Loss  0.772081, Time  0.404422
2021-09-22 22:45:50.442623 : Epoch  4, Batch    631, Loss  0.762671, Average Loss  0.772577, Time  0.380758
2021-09-22 22:45:52.250201 : Epoch  4, Batch    714, Loss  0.785461, Average Loss  0.772088, Time  0.252422
2021-09-22 22:45:52.518562 : Epoch  4, Batch    632, Loss  0.778241, Average Loss  0.772562, Time  0.291651
2021-09-22 22:45:54.176858 : Epoch  4, Batch    715, Loss  0.775153, Average Loss  0.772126, Time  0.252208
2021-09-22 22:45:54.526330 : Epoch  4, Batch    633, Loss  0.768859, Average Loss  0.772505, Time  0.254243
2021-09-22 22:45:56.089536 : Epoch  4, Batch    716, Loss  0.778065, Average Loss  0.772172, Time  0.251186
2021-09-22 22:45:56.505264 : Epoch  4, Batch    634, Loss  0.777920, Average Loss  0.772493, Time  0.255078
2021-09-22 22:45:58.000508 : Epoch  4, Batch    717, Loss  0.767621, Average Loss  0.772164, Time  0.251310
2021-09-22 22:45:58.497198 : Epoch  4, Batch    635, Loss  0.762182, Average Loss  0.772406, Time  0.257462
2021-09-22 22:45:59.913683 : Epoch  4, Batch    718, Loss  0.765785, Average Loss  0.772165, Time  0.251364
2021-09-22 22:46:00.457298 : Epoch  4, Batch    636, Loss  0.769248, Average Loss  0.772357, Time  0.269721
2021-09-22 22:46:01.836291 : Epoch  4, Batch    719, Loss  0.770617, Average Loss  0.772196, Time  0.253752
2021-09-22 22:46:02.407869 : Epoch  4, Batch    637, Loss  0.758757, Average Loss  0.772218, Time  0.257065
2021-09-22 22:46:03.746077 : Epoch  4, Batch    720, Loss  0.766201, Average Loss  0.772192, Time  0.252262
2021-09-22 22:46:04.384187 : Epoch  4, Batch    638, Loss  0.764928, Average Loss  0.772213, Time  0.258360
2021-09-22 22:46:05.668208 : Epoch  4, Batch    721, Loss  0.770463, Average Loss  0.772176, Time  0.250716
2021-09-22 22:46:07.603649 : Epoch  4, Batch    722, Loss  0.778844, Average Loss  0.772215, Time  0.254608
2021-09-22 22:46:08.662254 : Epoch  4, Batch    639, Loss  0.779412, Average Loss  0.772230, Time  0.254428
2021-09-22 22:46:09.526323 : Epoch  4, Batch    723, Loss  0.770262, Average Loss  0.772187, Time  0.252864
2021-09-22 22:46:11.442069 : Epoch  4, Batch    724, Loss  0.764262, Average Loss  0.772162, Time  0.258378
2021-09-22 22:46:13.380383 : Epoch  4, Batch    725, Loss  0.763389, Average Loss  0.772109, Time  0.253649
2021-09-22 22:46:15.296958 : Epoch  4, Batch    726, Loss  0.768696, Average Loss  0.772086, Time  0.252313
2021-09-22 22:46:17.222966 : Epoch  4, Batch    727, Loss  0.770856, Average Loss  0.772111, Time  0.250202
2021-09-22 22:46:19.124029 : Epoch  4, Batch    728, Loss  0.771887, Average Loss  0.772116, Time  0.253115
2021-09-22 22:46:21.125395 : Epoch  4, Batch    729, Loss  0.769443, Average Loss  0.772105, Time  0.326938
2021-09-22 22:46:23.056569 : Epoch  4, Batch    730, Loss  0.770459, Average Loss  0.772148, Time  0.252211
2021-09-22 22:46:24.962650 : Epoch  4, Batch    731, Loss  0.765749, Average Loss  0.772101, Time  0.251851
2021-09-22 22:46:26.879207 : Epoch  4, Batch    732, Loss  0.772962, Average Loss  0.772133, Time  0.252139
2021-09-22 22:46:28.790956 : Epoch  4, Batch    733, Loss  0.790122, Average Loss  0.772208, Time  0.249548
2021-09-22 22:46:30.717452 : Epoch  4, Batch    734, Loss  0.774730, Average Loss  0.772218, Time  0.251740
2021-09-22 22:46:32.649820 : Epoch  4, Batch    735, Loss  0.766321, Average Loss  0.772223, Time  0.265005
2021-09-22 22:46:34.580137 : Epoch  4, Batch    736, Loss  0.778315, Average Loss  0.772184, Time  0.252085
2021-09-22 22:46:36.572280 : Epoch  4, Batch    737, Loss  0.780550, Average Loss  0.772143, Time  0.331535
2021-09-22 22:46:38.501042 : Epoch  4, Batch    738, Loss  0.775448, Average Loss  0.772137, Time  0.251975
2021-09-22 22:46:40.423164 : Epoch  4, Batch    739, Loss  0.775694, Average Loss  0.772098, Time  0.249944
2021-09-22 22:47:21.886855 : CheckPoint: Validation Loss  0.00032918, Best Loss  0.00030514
2021-09-22 22:47:23.827055 : Epoch  4, Batch    640, Loss  0.764800, Average Loss  0.772234, Time  0.266688
2021-09-22 22:47:25.795180 : Epoch  4, Batch    641, Loss  0.780646, Average Loss  0.772348, Time  0.258385
2021-09-22 22:47:27.771274 : Epoch  4, Batch    642, Loss  0.772378, Average Loss  0.772295, Time  0.262158
2021-09-22 22:47:29.788593 : Epoch  4, Batch    643, Loss  0.772395, Average Loss  0.772218, Time  0.266068
2021-09-22 22:47:31.837098 : Epoch  4, Batch    644, Loss  0.776176, Average Loss  0.772249, Time  0.329844
2021-09-22 22:47:33.806223 : Epoch  4, Batch    645, Loss  0.768972, Average Loss  0.772240, Time  0.255046
2021-09-22 22:47:35.810383 : Epoch  4, Batch    646, Loss  0.770961, Average Loss  0.772228, Time  0.282398
2021-09-22 22:47:37.786883 : Epoch  4, Batch    647, Loss  0.781689, Average Loss  0.772307, Time  0.255134
2021-09-22 22:47:39.750314 : Epoch  4, Batch    648, Loss  0.772943, Average Loss  0.772329, Time  0.255132
2021-09-22 22:47:41.676297 : Epoch  4, Batch    649, Loss  0.776739, Average Loss  0.772305, Time  0.254115
2021-09-22 22:47:43.784059 : Epoch  4, Batch    650, Loss  0.781894, Average Loss  0.772392, Time  0.327672
2021-09-22 22:47:45.752866 : Epoch  4, Batch    651, Loss  0.779137, Average Loss  0.772471, Time  0.254510
2021-09-22 22:47:47.717300 : Epoch  4, Batch    652, Loss  0.777592, Average Loss  0.772501, Time  0.258075
2021-09-22 22:47:47.953025 : Epoch  4, Batch    653, Loss  0.592219, Average Loss  0.771570, Time  0.167251
2021-09-22 22:47:49.902516 : Epoch  4, Batch    654, Loss  0.771261, Average Loss  0.771554, Time  0.259561
2021-09-22 22:47:51.875790 : Epoch  4, Batch    655, Loss  0.782367, Average Loss  0.771642, Time  0.255262
2021-09-22 22:47:52.720423 : CheckPoint: Validation Loss  0.00031797, Best Loss  0.00030694
2021-09-22 22:47:53.869884 : Epoch  4, Batch    656, Loss  0.775191, Average Loss  0.771624, Time  0.255035
2021-09-22 22:47:54.643935 : Epoch  4, Batch    740, Loss  0.759426, Average Loss  0.771996, Time  0.251293
2021-09-22 22:47:55.835135 : Epoch  4, Batch    657, Loss  0.778400, Average Loss  0.771669, Time  0.256233
2021-09-22 22:47:56.556076 : Epoch  4, Batch    741, Loss  0.780091, Average Loss  0.772034, Time  0.253676
2021-09-22 22:47:57.861266 : Epoch  4, Batch    658, Loss  0.789719, Average Loss  0.771798, Time  0.257612
2021-09-22 22:47:58.482392 : Epoch  4, Batch    742, Loss  0.777460, Average Loss  0.772100, Time  0.251484
2021-09-22 22:47:59.830952 : Epoch  4, Batch    659, Loss  0.771549, Average Loss  0.771778, Time  0.257575
2021-09-22 22:48:00.383444 : Epoch  4, Batch    743, Loss  0.778317, Average Loss  0.772133, Time  0.252631
2021-09-22 22:48:01.894293 : Epoch  4, Batch    660, Loss  0.797575, Average Loss  0.771891, Time  0.283129
2021-09-22 22:48:02.295233 : Epoch  4, Batch    744, Loss  0.761596, Average Loss  0.772137, Time  0.250609
2021-09-22 22:48:03.961893 : Epoch  4, Batch    661, Loss  0.765100, Average Loss  0.771820, Time  0.274071
2021-09-22 22:48:04.197757 : Epoch  4, Batch    745, Loss  0.771716, Average Loss  0.772120, Time  0.264893
2021-09-22 22:48:05.999905 : Epoch  4, Batch    662, Loss  0.790783, Average Loss  0.771937, Time  0.343243
2021-09-22 22:48:06.146335 : Epoch  4, Batch    746, Loss  0.774158, Average Loss  0.772143, Time  0.299256
2021-09-22 22:48:08.210229 : Epoch  4, Batch    663, Loss  0.778820, Average Loss  0.771936, Time  0.493384
2021-09-22 22:48:08.244238 : Epoch  4, Batch    747, Loss  0.761167, Average Loss  0.772054, Time  0.442492
2021-09-22 22:48:09.002715 : CheckPoint: Validation Loss  0.00015119, Best Loss  0.00014923
2021-09-22 22:48:10.404272 : Epoch  4, Batch    748, Loss  0.769906, Average Loss  0.772078, Time  0.515510
2021-09-22 22:48:10.424469 : Epoch  4, Batch    664, Loss  0.775857, Average Loss  0.771942, Time  0.495097
2021-09-22 22:48:12.477287 : Epoch  4, Batch    749, Loss  0.777596, Average Loss  0.772176, Time  0.442076
2021-09-22 22:48:12.550918 : Epoch  4, Batch    665, Loss  0.775476, Average Loss  0.771950, Time  0.415437
2021-09-22 22:48:14.005113 : Epoch  3, Batch    445, Loss  0.872109, Average Loss  0.872001, Time  0.462365
2021-09-22 22:48:14.478626 : Epoch  4, Batch    750, Loss  0.757790, Average Loss  0.772148, Time  0.355717
2021-09-22 22:48:14.616654 : Epoch  4, Batch    666, Loss  0.763462, Average Loss  0.771948, Time  0.322797
2021-09-22 22:48:16.381142 : Epoch  4, Batch    751, Loss  0.771767, Average Loss  0.772188, Time  0.250205
2021-09-22 22:48:16.693086 : Epoch  4, Batch    667, Loss  0.774193, Average Loss  0.771956, Time  0.276102
2021-09-22 22:48:18.281396 : Epoch  4, Batch    752, Loss  0.783831, Average Loss  0.772181, Time  0.258754
2021-09-22 22:48:18.650138 : Epoch  4, Batch    668, Loss  0.787915, Average Loss  0.772036, Time  0.261160
2021-09-22 22:48:18.998289 : Epoch  3, Batch    446, Loss  0.866372, Average Loss  0.872004, Time  0.415065
2021-09-22 22:48:20.203576 : Epoch  4, Batch    753, Loss  0.770960, Average Loss  0.772188, Time  0.249892
2021-09-22 22:48:20.606336 : Epoch  4, Batch    669, Loss  0.762911, Average Loss  0.772010, Time  0.255690
2021-09-22 22:48:22.117604 : Epoch  4, Batch    754, Loss  0.779710, Average Loss  0.772222, Time  0.252562
2021-09-22 22:48:22.565244 : Epoch  4, Batch    670, Loss  0.769445, Average Loss  0.771937, Time  0.256997
2021-09-22 22:48:23.946048 : Epoch  3, Batch    447, Loss  0.877707, Average Loss  0.872030, Time  0.414112
2021-09-22 22:48:24.030311 : Epoch  4, Batch    755, Loss  0.778426, Average Loss  0.772241, Time  0.250649
2021-09-22 22:48:24.532896 : Epoch  4, Batch    671, Loss  0.783793, Average Loss  0.771963, Time  0.258384
2021-09-22 22:48:25.947867 : Epoch  4, Batch    756, Loss  0.788874, Average Loss  0.772300, Time  0.252654
2021-09-22 22:48:26.545100 : Epoch  4, Batch    672, Loss  0.768866, Average Loss  0.771961, Time  0.263382
2021-09-22 22:48:27.853885 : Epoch  4, Batch    757, Loss  0.772816, Average Loss  0.772294, Time  0.250990
2021-09-22 22:48:28.527641 : Epoch  4, Batch    673, Loss  0.773874, Average Loss  0.771982, Time  0.256810
2021-09-22 22:48:28.912765 : Epoch  3, Batch    448, Loss  0.882061, Average Loss  0.872127, Time  0.413487
2021-09-22 22:48:29.754161 : Epoch  4, Batch    758, Loss  0.762289, Average Loss  0.772176, Time  0.253123
2021-09-22 22:48:30.561538 : Epoch  4, Batch    674, Loss  0.773879, Average Loss  0.771994, Time  0.256261
2021-09-22 22:48:31.654022 : Epoch  4, Batch    759, Loss  0.778256, Average Loss  0.772184, Time  0.254175
2021-09-22 22:48:32.663734 : Epoch  4, Batch    675, Loss  0.785571, Average Loss  0.772064, Time  0.256652
2021-09-22 22:48:33.556920 : Epoch  4, Batch    760, Loss  0.770476, Average Loss  0.772196, Time  0.256731
2021-09-22 22:48:33.891069 : Epoch  3, Batch    449, Loss  0.861694, Average Loss  0.872143, Time  0.413824
2021-09-22 22:48:34.636797 : Epoch  4, Batch    676, Loss  0.776890, Average Loss  0.772030, Time  0.254185
2021-09-22 22:48:35.451854 : Epoch  4, Batch    761, Loss  0.763922, Average Loss  0.772176, Time  0.253480
2021-09-22 22:48:36.663391 : Epoch  4, Batch    677, Loss  0.780033, Average Loss  0.772037, Time  0.276896
2021-09-22 22:48:37.341659 : Epoch  4, Batch    762, Loss  0.768408, Average Loss  0.772099, Time  0.252209
2021-09-22 22:48:38.634843 : Epoch  4, Batch    678, Loss  0.776845, Average Loss  0.772062, Time  0.261416
2021-09-22 22:48:38.851759 : Epoch  3, Batch    450, Loss  0.875547, Average Loss  0.872197, Time  0.413486
2021-09-22 22:48:39.234910 : Epoch  4, Batch    763, Loss  0.772952, Average Loss  0.772067, Time  0.252619
2021-09-22 22:48:40.580947 : Epoch  4, Batch    679, Loss  0.778730, Average Loss  0.772156, Time  0.266095
2021-09-22 22:48:41.124957 : Epoch  4, Batch    764, Loss  0.785106, Average Loss  0.772122, Time  0.255909
2021-09-22 22:48:42.542556 : Epoch  4, Batch    680, Loss  0.780409, Average Loss  0.772201, Time  0.261407
2021-09-22 22:48:43.039810 : Epoch  4, Batch    765, Loss  0.771245, Average Loss  0.772104, Time  0.249851
2021-09-22 22:48:43.802011 : Epoch  3, Batch    451, Loss  0.878261, Average Loss  0.872241, Time  0.412994
2021-09-22 22:48:44.556176 : Epoch  4, Batch    681, Loss  0.778167, Average Loss  0.772208, Time  0.259764
2021-09-22 22:48:44.930325 : Epoch  4, Batch    766, Loss  0.759676, Average Loss  0.772049, Time  0.249790
2021-09-22 22:48:46.515685 : Epoch  4, Batch    682, Loss  0.767643, Average Loss  0.772185, Time  0.257875
2021-09-22 22:48:46.805617 : Epoch  4, Batch    767, Loss  0.779831, Average Loss  0.772085, Time  0.251655
2021-09-22 22:48:48.680261 : Epoch  4, Batch    683, Loss  0.769799, Average Loss  0.772118, Time  0.398565
2021-09-22 22:48:48.754006 : Epoch  3, Batch    452, Loss  0.867075, Average Loss  0.872150, Time  0.413925
2021-09-22 22:48:48.791664 : Epoch  4, Batch    768, Loss  0.775417, Average Loss  0.772133, Time  0.337842
2021-09-22 22:48:50.956579 : Epoch  4, Batch    684, Loss  0.770813, Average Loss  0.772153, Time  0.524063
2021-09-22 22:48:50.986566 : Epoch  4, Batch    769, Loss  0.770465, Average Loss  0.772099, Time  0.522084
2021-09-22 22:48:53.083725 : Epoch  4, Batch    770, Loss  0.765824, Average Loss  0.772065, Time  0.455990
2021-09-22 22:48:53.144230 : Epoch  4, Batch    685, Loss  0.773447, Average Loss  0.772192, Time  0.426964
2021-09-22 22:48:53.709008 : Epoch  3, Batch    453, Loss  0.868864, Average Loss  0.872128, Time  0.413216
2021-09-22 22:48:54.988429 : Epoch  4, Batch    771, Loss  0.770455, Average Loss  0.772089, Time  0.252899
2021-09-22 22:48:55.225755 : Epoch  4, Batch    686, Loss  0.771369, Average Loss  0.772222, Time  0.262887
2021-09-22 22:48:56.894187 : Epoch  4, Batch    772, Loss  0.763671, Average Loss  0.772019, Time  0.251676
2021-09-22 22:48:57.236320 : Epoch  4, Batch    687, Loss  0.774375, Average Loss  0.772211, Time  0.288820
2021-09-22 22:48:58.676019 : Epoch  3, Batch    454, Loss  0.868806, Average Loss  0.872158, Time  0.413281
2021-09-22 22:48:58.804477 : Epoch  4, Batch    773, Loss  0.776377, Average Loss  0.772070, Time  0.253496
2021-09-22 22:48:59.162071 : Epoch  4, Batch    688, Loss  0.779139, Average Loss  0.772244, Time  0.265494
2021-09-22 22:49:00.724098 : Epoch  4, Batch    774, Loss  0.773844, Average Loss  0.772085, Time  0.255625
2021-09-22 22:49:01.188224 : Epoch  4, Batch    689, Loss  0.777221, Average Loss  0.772304, Time  0.284118
2021-09-22 22:49:02.651561 : Epoch  4, Batch    775, Loss  0.767090, Average Loss  0.772057, Time  0.259031
2021-09-22 22:49:03.197689 : Epoch  4, Batch    690, Loss  0.771502, Average Loss  0.772328, Time  0.253999
2021-09-22 22:49:03.677063 : Epoch  3, Batch    455, Loss  0.856863, Average Loss  0.872085, Time  0.461617
2021-09-22 22:49:04.586389 : Epoch  4, Batch    776, Loss  0.770813, Average Loss  0.772065, Time  0.261896
2021-09-22 22:49:05.250643 : Epoch  4, Batch    691, Loss  0.773410, Average Loss  0.772317, Time  0.259700
2021-09-22 22:49:06.494268 : Epoch  4, Batch    777, Loss  0.771385, Average Loss  0.772065, Time  0.256919
2021-09-22 22:49:07.343421 : Epoch  4, Batch    692, Loss  0.779459, Average Loss  0.772417, Time  0.286687
2021-09-22 22:49:08.395356 : Epoch  4, Batch    778, Loss  0.767945, Average Loss  0.772055, Time  0.250079
2021-09-22 22:49:08.646139 : Epoch  3, Batch    456, Loss  0.862738, Average Loss  0.872032, Time  0.414045
2021-09-22 22:49:09.402982 : Epoch  4, Batch    693, Loss  0.784144, Average Loss  0.772469, Time  0.254228
2021-09-22 22:49:10.288720 : Epoch  4, Batch    779, Loss  0.774241, Average Loss  0.772092, Time  0.252557
2021-09-22 22:49:11.393247 : Epoch  4, Batch    694, Loss  0.772085, Average Loss  0.772442, Time  0.279164
2021-09-22 22:49:12.196483 : Epoch  4, Batch    780, Loss  0.781845, Average Loss  0.772101, Time  0.250150
2021-09-22 22:49:13.385919 : Epoch  4, Batch    695, Loss  0.777669, Average Loss  0.772492, Time  0.254891
2021-09-22 22:49:13.592749 : Epoch  3, Batch    457, Loss  0.860960, Average Loss  0.871936, Time  0.413014
2021-09-22 22:49:14.098592 : Epoch  4, Batch    781, Loss  0.774274, Average Loss  0.772109, Time  0.251326
2021-09-22 22:49:15.380618 : Epoch  4, Batch    696, Loss  0.766698, Average Loss  0.772463, Time  0.257190
2021-09-22 22:49:15.996601 : Epoch  4, Batch    782, Loss  0.775748, Average Loss  0.772158, Time  0.251652
2021-09-22 22:49:17.357014 : Epoch  4, Batch    697, Loss  0.762056, Average Loss  0.772372, Time  0.256104
2021-09-22 22:49:17.896069 : Epoch  4, Batch    783, Loss  0.764263, Average Loss  0.772109, Time  0.253265
2021-09-22 22:49:18.556076 : Epoch  3, Batch    458, Loss  0.867831, Average Loss  0.871875, Time  0.414833
2021-09-22 22:49:19.372550 : Epoch  4, Batch    698, Loss  0.766201, Average Loss  0.772318, Time  0.256586
2021-09-22 22:49:19.809245 : Epoch  4, Batch    784, Loss  0.773006, Average Loss  0.772114, Time  0.251317
2021-09-22 22:49:21.464246 : Epoch  4, Batch    699, Loss  0.769441, Average Loss  0.772233, Time  0.262948
2021-09-22 22:49:21.700325 : Epoch  4, Batch    785, Loss  0.767053, Average Loss  0.772150, Time  0.255988
2021-09-22 22:49:23.526070 : Epoch  3, Batch    459, Loss  0.871183, Average Loss  0.871894, Time  0.413706
2021-09-22 22:49:23.672856 : Epoch  4, Batch    700, Loss  0.765282, Average Loss  0.772159, Time  0.437212
2021-09-22 22:49:23.736617 : Epoch  4, Batch    786, Loss  0.765698, Average Loss  0.772176, Time  0.397652
2021-09-22 22:49:25.888446 : Epoch  4, Batch    701, Loss  0.780269, Average Loss  0.772152, Time  0.517622
2021-09-22 22:49:25.933180 : Epoch  4, Batch    787, Loss  0.764045, Average Loss  0.772204, Time  0.490646
2021-09-22 22:49:25.984910 : Saving Model after 4-th Epoch.
2021-09-22 22:49:26.815678 : Epoch Finished.
2021-09-22 22:49:27.865952 : Epoch  4, Batch    702, Loss  0.775262, Average Loss  0.772152, Time  0.256382
2021-09-22 22:49:28.496924 : Epoch  3, Batch    460, Loss  0.873168, Average Loss  0.871889, Time  0.414459
2021-09-22 22:49:29.152922 : Batch Shuffled
2021-09-22 22:49:29.802203 : Epoch  4, Batch    703, Loss  0.758437, Average Loss  0.772066, Time  0.253912
2021-09-22 22:49:31.055125 : Epoch  5, Batch      1, Loss  0.776765, Average Loss  0.772219, Time  0.249899
2021-09-22 22:49:31.772211 : Epoch  4, Batch    704, Loss  0.771195, Average Loss  0.772026, Time  0.255684
2021-09-22 22:49:32.983890 : Epoch  5, Batch      2, Loss  0.766251, Average Loss  0.772245, Time  0.253998
2021-09-22 22:49:33.464071 : Epoch  3, Batch    461, Loss  0.859175, Average Loss  0.871732, Time  0.420444
2021-09-22 22:49:33.774882 : Epoch  4, Batch    705, Loss  0.783855, Average Loss  0.772074, Time  0.264220
2021-09-22 22:49:34.900471 : Epoch  5, Batch      3, Loss  0.778103, Average Loss  0.772302, Time  0.252695
2021-09-22 22:49:35.771734 : Epoch  4, Batch    706, Loss  0.786304, Average Loss  0.772223, Time  0.254784
2021-09-22 22:49:36.821066 : Epoch  5, Batch      4, Loss  0.771888, Average Loss  0.772281, Time  0.251436
2021-09-22 22:49:37.735941 : Epoch  4, Batch    707, Loss  0.765503, Average Loss  0.772193, Time  0.260378
2021-09-22 22:49:38.442755 : Epoch  3, Batch    462, Loss  0.871199, Average Loss  0.871743, Time  0.414545
2021-09-22 22:49:38.752670 : Epoch  5, Batch      5, Loss  0.773042, Average Loss  0.772297, Time  0.251203
2021-09-22 22:49:39.777508 : Epoch  4, Batch    708, Loss  0.775100, Average Loss  0.772196, Time  0.261839
2021-09-22 22:49:40.674795 : Epoch  5, Batch      6, Loss  0.766114, Average Loss  0.772279, Time  0.267001
2021-09-22 22:49:41.795439 : Epoch  4, Batch    709, Loss  0.777121, Average Loss  0.772183, Time  0.268126
2021-09-22 22:49:42.602858 : Epoch  5, Batch      7, Loss  0.764387, Average Loss  0.772252, Time  0.258836
2021-09-22 22:49:43.409781 : Epoch  3, Batch    463, Loss  0.873079, Average Loss  0.871655, Time  0.413319
2021-09-22 22:49:43.811982 : Epoch  4, Batch    710, Loss  0.775198, Average Loss  0.772131, Time  0.259838
2021-09-22 22:49:44.543797 : Epoch  5, Batch      8, Loss  0.771924, Average Loss  0.772276, Time  0.250704
2021-09-22 22:49:46.462181 : Epoch  5, Batch      9, Loss  0.771060, Average Loss  0.772280, Time  0.251556
2021-09-22 22:49:48.418973 : Epoch  3, Batch    464, Loss  0.879262, Average Loss  0.871673, Time  0.460638
2021-09-22 22:49:48.534041 : Epoch  5, Batch     10, Loss  0.766998, Average Loss  0.772207, Time  0.406462
2021-09-22 22:49:48.643625 : Epoch  4, Batch    711, Loss  0.787972, Average Loss  0.772218, Time  0.382111
2021-09-22 22:49:50.455958 : Epoch  5, Batch     11, Loss  0.762450, Average Loss  0.772210, Time  0.257015
2021-09-22 22:49:50.712828 : Epoch  4, Batch    712, Loss  0.765711, Average Loss  0.772213, Time  0.294519
2021-09-22 22:49:52.381923 : Epoch  5, Batch     12, Loss  0.775181, Average Loss  0.772230, Time  0.253182
2021-09-22 22:49:52.728316 : Epoch  4, Batch    713, Loss  0.774315, Average Loss  0.772237, Time  0.266426
2021-09-22 22:49:53.393740 : Epoch  3, Batch    465, Loss  0.869658, Average Loss  0.871639, Time  0.413390
2021-09-22 22:49:54.298208 : Epoch  5, Batch     13, Loss  0.778709, Average Loss  0.772264, Time  0.251377
2021-09-22 22:49:54.757446 : Epoch  4, Batch    714, Loss  0.773833, Average Loss  0.772266, Time  0.262382
2021-09-22 22:49:56.226281 : Epoch  5, Batch     14, Loss  0.773970, Average Loss  0.772231, Time  0.265404
2021-09-22 22:49:56.751288 : Epoch  4, Batch    715, Loss  0.771824, Average Loss  0.772294, Time  0.255774
2021-09-22 22:49:58.145667 : Epoch  5, Batch     15, Loss  0.784396, Average Loss  0.772295, Time  0.252469
2021-09-22 22:49:58.359154 : Epoch  3, Batch    466, Loss  0.882134, Average Loss  0.871661, Time  0.413514
2021-09-22 22:49:58.788536 : Epoch  4, Batch    716, Loss  0.776870, Average Loss  0.772413, Time  0.267288
2021-09-22 22:50:00.087442 : Epoch  5, Batch     16, Loss  0.761381, Average Loss  0.772258, Time  0.255585
2021-09-22 22:50:00.847388 : Epoch  4, Batch    717, Loss  0.787179, Average Loss  0.772453, Time  0.256789
2021-09-22 22:50:02.011033 : Epoch  5, Batch     17, Loss  0.777080, Average Loss  0.772265, Time  0.250085
2021-09-22 22:50:02.803302 : Epoch  4, Batch    718, Loss  0.773627, Average Loss  0.772467, Time  0.256120
2021-09-22 22:50:03.307724 : Epoch  3, Batch    467, Loss  0.881864, Average Loss  0.871690, Time  0.413411
2021-09-22 22:50:03.936195 : Epoch  5, Batch     18, Loss  0.765185, Average Loss  0.772189, Time  0.253120
2021-09-22 22:50:04.783956 : Epoch  4, Batch    719, Loss  0.765531, Average Loss  0.772407, Time  0.257673
2021-09-22 22:50:05.847907 : Epoch  5, Batch     19, Loss  0.782758, Average Loss  0.772238, Time  0.249743
2021-09-22 22:50:06.791183 : Epoch  4, Batch    720, Loss  0.773887, Average Loss  0.772437, Time  0.266587
2021-09-22 22:50:07.768056 : Epoch  5, Batch     20, Loss  0.774020, Average Loss  0.772181, Time  0.252070
2021-09-22 22:50:08.273995 : Epoch  3, Batch    468, Loss  0.881449, Average Loss  0.871847, Time  0.413410
2021-09-22 22:50:08.794103 : Epoch  4, Batch    721, Loss  0.774628, Average Loss  0.772429, Time  0.255283
2021-09-22 22:50:09.689457 : Epoch  5, Batch     21, Loss  0.764917, Average Loss  0.772208, Time  0.251204
2021-09-22 22:50:10.756160 : Epoch  4, Batch    722, Loss  0.774428, Average Loss  0.772458, Time  0.258523
2021-09-22 22:50:11.618699 : Epoch  5, Batch     22, Loss  0.769872, Average Loss  0.772135, Time  0.257226
2021-09-22 22:50:12.809103 : Epoch  4, Batch    723, Loss  0.776046, Average Loss  0.772424, Time  0.281079
2021-09-22 22:50:13.237775 : Epoch  3, Batch    469, Loss  0.883752, Average Loss  0.871942, Time  0.413375
2021-09-22 22:50:13.525346 : Epoch  5, Batch     23, Loss  0.769337, Average Loss  0.772175, Time  0.252578
2021-09-22 22:50:14.792503 : Epoch  4, Batch    724, Loss  0.778877, Average Loss  0.772405, Time  0.255192
2021-09-22 22:50:15.442275 : Epoch  5, Batch     24, Loss  0.771580, Average Loss  0.772190, Time  0.256723
2021-09-22 22:50:16.870218 : Epoch  4, Batch    725, Loss  0.766369, Average Loss  0.772382, Time  0.258866
2021-09-22 22:50:17.391102 : Epoch  5, Batch     25, Loss  0.760100, Average Loss  0.772119, Time  0.252414
2021-09-22 22:50:18.206769 : Epoch  3, Batch    470, Loss  0.847699, Average Loss  0.871794, Time  0.413639
2021-09-22 22:50:18.912487 : Epoch  4, Batch    726, Loss  0.772774, Average Loss  0.772342, Time  0.276268
2021-09-22 22:50:19.334970 : Epoch  5, Batch     26, Loss  0.762859, Average Loss  0.772115, Time  0.252562
2021-09-22 22:50:20.979809 : Epoch  4, Batch    727, Loss  0.777139, Average Loss  0.772363, Time  0.254926
2021-09-22 22:50:21.255418 : Epoch  5, Batch     27, Loss  0.779011, Average Loss  0.772069, Time  0.256153
2021-09-22 22:50:23.180989 : Epoch  3, Batch    471, Loss  0.865164, Average Loss  0.871783, Time  0.415942
2021-09-22 22:50:23.188313 : Epoch  4, Batch    728, Loss  0.771041, Average Loss  0.772365, Time  0.413394
2021-09-22 22:50:23.285086 : Epoch  5, Batch     28, Loss  0.763047, Average Loss  0.772036, Time  0.373605
2021-09-22 22:50:25.454555 : Epoch  4, Batch    729, Loss  0.769252, Average Loss  0.772376, Time  0.517583
2021-09-22 22:50:25.494785 : Epoch  5, Batch     29, Loss  0.777726, Average Loss  0.772003, Time  0.495574
2021-09-22 22:50:27.538647 : Epoch  5, Batch     30, Loss  0.772972, Average Loss  0.772019, Time  0.383594
2021-09-22 22:50:27.659221 : Epoch  4, Batch    730, Loss  0.768671, Average Loss  0.772363, Time  0.357340
2021-09-22 22:50:28.143858 : Epoch  3, Batch    472, Loss  0.861444, Average Loss  0.871655, Time  0.414675
2021-09-22 22:50:29.448357 : Epoch  5, Batch     31, Loss  0.780584, Average Loss  0.772100, Time  0.252557
2021-09-22 22:50:29.688347 : Epoch  4, Batch    731, Loss  0.778223, Average Loss  0.772420, Time  0.268790
2021-09-22 22:50:31.368451 : Epoch  5, Batch     32, Loss  0.778318, Average Loss  0.772062, Time  0.251935
2021-09-22 22:50:31.693970 : Epoch  4, Batch    732, Loss  0.763807, Average Loss  0.772324, Time  0.254973
2021-09-22 22:50:33.143820 : Epoch  3, Batch    473, Loss  0.857689, Average Loss  0.871581, Time  0.453648
2021-09-22 22:50:33.330908 : Epoch  5, Batch     33, Loss  0.779090, Average Loss  0.772122, Time  0.253522
2021-09-22 22:50:33.713678 : Epoch  4, Batch    733, Loss  0.778880, Average Loss  0.772368, Time  0.263562
2021-09-22 22:50:35.264006 : Epoch  5, Batch     34, Loss  0.757842, Average Loss  0.772061, Time  0.252618
2021-09-22 22:50:35.732961 : Epoch  4, Batch    734, Loss  0.775679, Average Loss  0.772440, Time  0.287205
2021-09-22 22:50:37.182337 : Epoch  5, Batch     35, Loss  0.781006, Average Loss  0.772095, Time  0.251144
2021-09-22 22:50:37.730038 : Epoch  4, Batch    735, Loss  0.769974, Average Loss  0.772394, Time  0.255503
2021-09-22 22:50:38.110997 : Epoch  3, Batch    474, Loss  0.868589, Average Loss  0.871642, Time  0.413315
2021-09-22 22:50:39.119344 : Epoch  5, Batch     36, Loss  0.775095, Average Loss  0.772104, Time  0.251872
2021-09-22 22:50:39.727228 : Epoch  4, Batch    736, Loss  0.766869, Average Loss  0.772327, Time  0.266122
2021-09-22 22:50:41.042919 : Epoch  5, Batch     37, Loss  0.760665, Average Loss  0.772037, Time  0.253029
2021-09-22 22:50:41.694929 : Epoch  4, Batch    737, Loss  0.773600, Average Loss  0.772368, Time  0.257114
2021-09-22 22:50:42.950817 : Epoch  5, Batch     38, Loss  0.759545, Average Loss  0.771962, Time  0.253295
2021-09-22 22:50:43.067744 : Epoch  3, Batch    475, Loss  0.874557, Average Loss  0.871729, Time  0.414231
2021-09-22 22:50:43.689168 : Epoch  4, Batch    738, Loss  0.767444, Average Loss  0.772345, Time  0.254698
2021-09-22 22:50:44.893683 : Epoch  5, Batch     39, Loss  0.780750, Average Loss  0.772016, Time  0.256758
2021-09-22 22:50:45.724712 : Epoch  4, Batch    739, Loss  0.772505, Average Loss  0.772387, Time  0.279711
2021-09-22 22:50:46.810018 : Epoch  5, Batch     40, Loss  0.770611, Average Loss  0.771973, Time  0.250586
2021-09-22 22:50:48.032147 : Epoch  3, Batch    476, Loss  0.889096, Average Loss  0.871766, Time  0.413500
2021-09-22 22:50:48.739269 : Epoch  5, Batch     41, Loss  0.759104, Average Loss  0.771904, Time  0.253694
2021-09-22 22:50:50.693970 : Epoch  5, Batch     42, Loss  0.773365, Average Loss  0.771940, Time  0.253529
2021-09-22 22:50:52.643657 : Epoch  5, Batch     43, Loss  0.761121, Average Loss  0.771925, Time  0.252326
2021-09-22 22:50:52.994769 : Epoch  3, Batch    477, Loss  0.877132, Average Loss  0.871756, Time  0.413143
2021-09-22 22:50:54.591164 : Epoch  5, Batch     44, Loss  0.785108, Average Loss  0.772015, Time  0.252996
2021-09-22 22:50:56.523238 : Epoch  5, Batch     45, Loss  0.776829, Average Loss  0.772010, Time  0.251516
2021-09-22 22:50:57.951978 : Epoch  3, Batch    478, Loss  0.848725, Average Loss  0.871679, Time  0.413594
2021-09-22 22:50:58.450085 : Epoch  5, Batch     46, Loss  0.771462, Average Loss  0.772011, Time  0.250878
2021-09-22 22:51:00.453921 : Epoch  5, Batch     47, Loss  0.779290, Average Loss  0.772088, Time  0.327486
2021-09-22 22:51:02.399505 : Epoch  5, Batch     48, Loss  0.794406, Average Loss  0.772230, Time  0.255545
2021-09-22 22:51:02.911021 : Epoch  3, Batch    479, Loss  0.865358, Average Loss  0.871608, Time  0.413308
2021-09-22 22:51:04.338384 : Epoch  5, Batch     49, Loss  0.773128, Average Loss  0.772204, Time  0.252219
2021-09-22 22:51:06.273863 : Epoch  5, Batch     50, Loss  0.776791, Average Loss  0.772248, Time  0.254817
2021-09-22 22:51:07.862022 : Epoch  3, Batch    480, Loss  0.881151, Average Loss  0.871549, Time  0.413921
2021-09-22 22:51:08.205310 : Epoch  5, Batch     51, Loss  0.761862, Average Loss  0.772190, Time  0.257217
2021-09-22 22:51:10.118950 : Epoch  5, Batch     52, Loss  0.756930, Average Loss  0.772098, Time  0.256018
2021-09-22 22:51:12.818939 : Epoch  3, Batch    481, Loss  0.876018, Average Loss  0.871620, Time  0.413558
2021-09-22 22:51:17.813883 : Epoch  3, Batch    482, Loss  0.872308, Average Loss  0.871665, Time  0.456918
2021-09-22 22:51:22.778774 : Epoch  3, Batch    483, Loss  0.875464, Average Loss  0.871698, Time  0.414142
2021-09-22 22:51:27.737756 : Epoch  3, Batch    484, Loss  0.866224, Average Loss  0.871696, Time  0.414400
2021-09-22 22:51:32.701041 : Epoch  3, Batch    485, Loss  0.879056, Average Loss  0.871698, Time  0.413903
2021-09-22 22:51:37.673882 : Epoch  3, Batch    486, Loss  0.871143, Average Loss  0.871668, Time  0.413828
2021-09-22 22:51:42.653771 : Epoch  3, Batch    487, Loss  0.873237, Average Loss  0.871707, Time  0.423554
2021-09-22 22:51:47.609944 : Epoch  3, Batch    488, Loss  0.881878, Average Loss  0.871753, Time  0.413442
2021-09-22 22:51:52.566990 : Epoch  3, Batch    489, Loss  0.883063, Average Loss  0.871777, Time  0.413422
2021-09-22 22:51:57.523764 : Epoch  3, Batch    490, Loss  0.870790, Average Loss  0.871806, Time  0.413310
2021-09-22 22:51:59.253597 : CheckPoint: Validation Loss  0.00032210, Best Loss  0.00030514
2021-09-22 22:52:01.237612 : Epoch  4, Batch    740, Loss  0.780559, Average Loss  0.772406, Time  0.254782
2021-09-22 22:52:02.487115 : Epoch  3, Batch    491, Loss  0.869652, Average Loss  0.871833, Time  0.413270
2021-09-22 22:52:03.209820 : Epoch  4, Batch    741, Loss  0.775919, Average Loss  0.772428, Time  0.254585
2021-09-22 22:52:05.247892 : Epoch  4, Batch    742, Loss  0.778149, Average Loss  0.772474, Time  0.276414
2021-09-22 22:52:07.369727 : Epoch  4, Batch    743, Loss  0.766348, Average Loss  0.772412, Time  0.369757
2021-09-22 22:52:07.490928 : Epoch  3, Batch    492, Loss  0.867568, Average Loss  0.871791, Time  0.458588
2021-09-22 22:52:09.325972 : Epoch  4, Batch    744, Loss  0.772985, Average Loss  0.772419, Time  0.256211
2021-09-22 22:52:11.287376 : Epoch  4, Batch    745, Loss  0.779920, Average Loss  0.772416, Time  0.254766
2021-09-22 22:52:12.430752 : Epoch  3, Batch    493, Loss  0.897794, Average Loss  0.871961, Time  0.413471
2021-09-22 22:52:13.239001 : Epoch  4, Batch    746, Loss  0.771316, Average Loss  0.772371, Time  0.255306
2021-09-22 22:52:15.228084 : Epoch  4, Batch    747, Loss  0.771283, Average Loss  0.772356, Time  0.259635
2021-09-22 22:52:17.293914 : Epoch  4, Batch    748, Loss  0.772160, Average Loss  0.772349, Time  0.330218
2021-09-22 22:52:17.395802 : Epoch  3, Batch    494, Loss  0.874575, Average Loss  0.872026, Time  0.414286
2021-09-22 22:52:19.283734 : Epoch  4, Batch    749, Loss  0.762220, Average Loss  0.772359, Time  0.255264
2021-09-22 22:52:21.341965 : Epoch  4, Batch    750, Loss  0.778748, Average Loss  0.772356, Time  0.258171
2021-09-22 22:52:22.353016 : Epoch  3, Batch    495, Loss  0.859195, Average Loss  0.871913, Time  0.414530
2021-09-22 22:52:22.862979 : CheckPoint: Validation Loss  0.00033005, Best Loss  0.00030694
2021-09-22 22:52:23.309333 : Epoch  4, Batch    751, Loss  0.774365, Average Loss  0.772359, Time  0.254996
2021-09-22 22:52:24.796050 : Epoch  5, Batch     53, Loss  0.777521, Average Loss  0.772127, Time  0.251433
2021-09-22 22:52:25.313643 : Epoch  4, Batch    752, Loss  0.764005, Average Loss  0.772292, Time  0.261109
2021-09-22 22:52:26.711801 : Epoch  5, Batch     54, Loss  0.769016, Average Loss  0.772101, Time  0.254269
2021-09-22 22:52:27.298891 : Epoch  4, Batch    753, Loss  0.771983, Average Loss  0.772256, Time  0.255007
2021-09-22 22:52:27.318902 : Epoch  3, Batch    496, Loss  0.875327, Average Loss  0.871789, Time  0.413119
2021-09-22 22:52:28.651244 : Epoch  5, Batch     55, Loss  0.770332, Average Loss  0.772113, Time  0.251227
2021-09-22 22:52:29.318105 : Epoch  4, Batch    754, Loss  0.764902, Average Loss  0.772220, Time  0.257951
2021-09-22 22:52:30.553115 : Epoch  5, Batch     56, Loss  0.775073, Average Loss  0.772188, Time  0.250108
2021-09-22 22:52:31.363356 : Epoch  4, Batch    755, Loss  0.773339, Average Loss  0.772227, Time  0.257603
2021-09-22 22:52:32.283283 : Epoch  3, Batch    497, Loss  0.888670, Average Loss  0.871922, Time  0.414418
2021-09-22 22:52:32.468995 : Epoch  5, Batch     57, Loss  0.776464, Average Loss  0.772195, Time  0.251353
2021-09-22 22:52:33.293207 : Epoch  4, Batch    756, Loss  0.782005, Average Loss  0.772263, Time  0.253947
2021-09-22 22:52:34.385879 : Epoch  5, Batch     58, Loss  0.782128, Average Loss  0.772218, Time  0.251564
2021-09-22 22:52:35.258670 : Epoch  4, Batch    757, Loss  0.773429, Average Loss  0.772289, Time  0.254945
2021-09-22 22:52:36.292697 : Epoch  5, Batch     59, Loss  0.783555, Average Loss  0.772239, Time  0.250549
2021-09-22 22:52:37.227690 : Epoch  4, Batch    758, Loss  0.763281, Average Loss  0.772225, Time  0.256606
2021-09-22 22:52:37.238025 : Epoch  3, Batch    498, Loss  0.869825, Average Loss  0.871940, Time  0.413627
2021-09-22 22:52:38.212719 : Epoch  5, Batch     60, Loss  0.775649, Average Loss  0.772282, Time  0.249692
2021-09-22 22:52:39.172078 : Epoch  4, Batch    759, Loss  0.770394, Average Loss  0.772223, Time  0.256997
2021-09-22 22:52:40.135869 : Epoch  5, Batch     61, Loss  0.758038, Average Loss  0.772229, Time  0.251721
2021-09-22 22:52:41.143749 : Epoch  4, Batch    760, Loss  0.778109, Average Loss  0.772276, Time  0.254970
2021-09-22 22:52:42.046102 : Epoch  5, Batch     62, Loss  0.764463, Average Loss  0.772179, Time  0.251759
2021-09-22 22:52:42.225974 : Epoch  3, Batch    499, Loss  0.869803, Average Loss  0.871786, Time  0.413883
2021-09-22 22:52:43.121449 : Epoch  4, Batch    761, Loss  0.770770, Average Loss  0.772260, Time  0.260590
2021-09-22 22:52:43.949182 : Epoch  5, Batch     63, Loss  0.765158, Average Loss  0.772167, Time  0.250106
2021-09-22 22:52:45.082149 : Epoch  4, Batch    762, Loss  0.766574, Average Loss  0.772241, Time  0.254732
2021-09-22 22:52:45.895768 : Epoch  5, Batch     64, Loss  0.768690, Average Loss  0.772139, Time  0.253413
2021-09-22 22:52:47.176135 : Epoch  3, Batch    500, Loss  0.875434, Average Loss  0.871847, Time  0.414289
2021-09-22 22:52:47.226998 : Epoch  4, Batch    763, Loss  0.767256, Average Loss  0.772222, Time  0.282503
2021-09-22 22:52:47.838809 : Epoch  5, Batch     65, Loss  0.774630, Average Loss  0.772142, Time  0.251036
2021-09-22 22:52:49.223824 : Epoch  4, Batch    764, Loss  0.769104, Average Loss  0.772225, Time  0.269021
2021-09-22 22:52:49.736143 : Epoch  5, Batch     66, Loss  0.783844, Average Loss  0.772192, Time  0.249972
2021-09-22 22:52:51.193475 : Epoch  4, Batch    765, Loss  0.756989, Average Loss  0.772143, Time  0.255951
2021-09-22 22:52:51.653878 : Epoch  5, Batch     67, Loss  0.777435, Average Loss  0.772149, Time  0.256409
2021-09-22 22:52:52.190725 : Epoch  3, Batch    501, Loss  0.872397, Average Loss  0.871860, Time  0.456200
2021-09-22 22:52:53.167208 : Epoch  4, Batch    766, Loss  0.769237, Average Loss  0.772132, Time  0.255566
2021-09-22 22:52:53.569752 : Epoch  5, Batch     68, Loss  0.764005, Average Loss  0.772119, Time  0.251635
2021-09-22 22:52:55.376297 : Epoch  4, Batch    767, Loss  0.766765, Average Loss  0.772099, Time  0.336163
2021-09-22 22:52:55.540697 : Epoch  5, Batch     69, Loss  0.772996, Average Loss  0.772153, Time  0.306735
2021-09-22 22:52:57.150403 : Epoch  3, Batch    502, Loss  0.885291, Average Loss  0.871936, Time  0.413235
2021-09-22 22:52:57.521087 : Epoch  4, Batch    768, Loss  0.776378, Average Loss  0.772051, Time  0.439148
2021-09-22 22:52:57.594787 : Epoch  5, Batch     70, Loss  0.785954, Average Loss  0.772268, Time  0.403280
2021-09-22 22:52:59.751895 : Epoch  5, Batch     71, Loss  0.761010, Average Loss  0.772210, Time  0.478030
2021-09-22 22:52:59.792532 : Epoch  4, Batch    769, Loss  0.770064, Average Loss  0.772035, Time  0.445044
2021-09-22 22:53:01.859950 : Epoch  5, Batch     72, Loss  0.770007, Average Loss  0.772178, Time  0.450868
2021-09-22 22:53:01.923048 : Epoch  4, Batch    770, Loss  0.779596, Average Loss  0.772130, Time  0.417709
2021-09-22 22:53:02.121766 : Epoch  3, Batch    503, Loss  0.868026, Average Loss  0.871952, Time  0.413028
2021-09-22 22:53:03.989839 : Epoch  5, Batch     73, Loss  0.768107, Average Loss  0.772190, Time  0.452331
2021-09-22 22:53:04.060458 : Epoch  4, Batch    771, Loss  0.768452, Average Loss  0.772103, Time  0.423591
2021-09-22 22:53:06.162332 : Epoch  5, Batch     74, Loss  0.767812, Average Loss  0.772134, Time  0.484921
2021-09-22 22:53:06.207056 : Epoch  4, Batch    772, Loss  0.773947, Average Loss  0.772102, Time  0.455484
2021-09-22 22:53:07.080862 : Epoch  3, Batch    504, Loss  0.861644, Average Loss  0.871924, Time  0.413255
2021-09-22 22:53:08.313496 : Epoch  5, Batch     75, Loss  0.777050, Average Loss  0.772121, Time  0.470257
2021-09-22 22:53:08.364968 : Epoch  4, Batch    773, Loss  0.780195, Average Loss  0.772140, Time  0.439641
2021-09-22 22:53:10.450976 : Epoch  5, Batch     76, Loss  0.772478, Average Loss  0.772081, Time  0.462109
2021-09-22 22:53:10.506270 : Epoch  4, Batch    774, Loss  0.771588, Average Loss  0.772157, Time  0.426414
2021-09-22 22:53:12.042750 : Epoch  3, Batch    505, Loss  0.875969, Average Loss  0.871928, Time  0.413092
2021-09-22 22:53:12.503960 : Epoch  5, Batch     77, Loss  0.767800, Average Loss  0.772016, Time  0.392447
2021-09-22 22:53:12.616357 : Epoch  4, Batch    775, Loss  0.772640, Average Loss  0.772170, Time  0.360796
2021-09-22 22:53:14.445832 : Epoch  5, Batch     78, Loss  0.771502, Average Loss  0.771960, Time  0.296935
2021-09-22 22:53:14.627188 : Epoch  4, Batch    776, Loss  0.768166, Average Loss  0.772122, Time  0.281969
2021-09-22 22:53:16.350250 : Epoch  5, Batch     79, Loss  0.772673, Average Loss  0.771917, Time  0.251026
2021-09-22 22:53:16.649958 : Epoch  4, Batch    777, Loss  0.779626, Average Loss  0.772131, Time  0.259555
2021-09-22 22:53:17.024269 : Epoch  3, Batch    506, Loss  0.875525, Average Loss  0.871842, Time  0.413452
2021-09-22 22:53:18.247992 : Epoch  5, Batch     80, Loss  0.782307, Average Loss  0.771962, Time  0.251273
2021-09-22 22:53:18.586371 : Epoch  4, Batch    778, Loss  0.762039, Average Loss  0.772104, Time  0.257978
2021-09-22 22:53:20.180574 : Epoch  5, Batch     81, Loss  0.773323, Average Loss  0.771950, Time  0.252474
2021-09-22 22:53:20.527846 : Epoch  4, Batch    779, Loss  0.762356, Average Loss  0.772110, Time  0.254884
2021-09-22 22:53:21.993761 : Epoch  3, Batch    507, Loss  0.869789, Average Loss  0.871834, Time  0.413407
2021-09-22 22:53:22.080050 : Epoch  5, Batch     82, Loss  0.763688, Average Loss  0.771995, Time  0.249512
2021-09-22 22:53:22.483898 : Epoch  4, Batch    780, Loss  0.775102, Average Loss  0.772141, Time  0.257840
2021-09-22 22:53:23.981903 : Epoch  5, Batch     83, Loss  0.779460, Average Loss  0.772095, Time  0.252063
2021-09-22 22:53:24.499995 : Epoch  4, Batch    781, Loss  0.779734, Average Loss  0.772191, Time  0.282797
2021-09-22 22:53:25.885777 : Epoch  5, Batch     84, Loss  0.772981, Average Loss  0.772122, Time  0.254011
2021-09-22 22:53:26.528273 : Epoch  4, Batch    782, Loss  0.768010, Average Loss  0.772187, Time  0.259832
2021-09-22 22:53:26.952011 : Epoch  3, Batch    508, Loss  0.845069, Average Loss  0.871730, Time  0.413310
2021-09-22 22:53:27.806856 : Epoch  5, Batch     85, Loss  0.782612, Average Loss  0.772187, Time  0.249854
2021-09-22 22:53:28.509100 : Epoch  4, Batch    783, Loss  0.779153, Average Loss  0.772244, Time  0.256599
2021-09-22 22:53:29.714265 : Epoch  5, Batch     86, Loss  0.771247, Average Loss  0.772136, Time  0.250944
2021-09-22 22:53:30.500501 : Epoch  4, Batch    784, Loss  0.764042, Average Loss  0.772268, Time  0.254011
2021-09-22 22:53:31.613890 : Epoch  5, Batch     87, Loss  0.771659, Average Loss  0.772153, Time  0.249027
2021-09-22 22:53:31.917722 : Epoch  3, Batch    509, Loss  0.879720, Average Loss  0.871757, Time  0.413358
2021-09-22 22:53:32.460802 : Epoch  4, Batch    785, Loss  0.773253, Average Loss  0.772257, Time  0.256323
2021-09-22 22:53:33.533347 : Epoch  5, Batch     88, Loss  0.778579, Average Loss  0.772144, Time  0.261123
2021-09-22 22:53:34.533822 : Epoch  4, Batch    786, Loss  0.781785, Average Loss  0.772348, Time  0.254063
2021-09-22 22:53:35.453127 : Epoch  5, Batch     89, Loss  0.767749, Average Loss  0.772111, Time  0.252013
2021-09-22 22:53:36.457909 : Epoch  4, Batch    787, Loss  0.767696, Average Loss  0.772283, Time  0.262765
2021-09-22 22:53:36.511657 : Saving Model after 4-th Epoch.
2021-09-22 22:53:36.920726 : Epoch  3, Batch    510, Loss  0.888708, Average Loss  0.871861, Time  0.452166
2021-09-22 22:53:37.358690 : Epoch Finished.
2021-09-22 22:53:37.402964 : Epoch  5, Batch     90, Loss  0.764005, Average Loss  0.772073, Time  0.250440
2021-09-22 22:53:39.333445 : Epoch  5, Batch     91, Loss  0.771264, Average Loss  0.772074, Time  0.251853
2021-09-22 22:53:40.374721 : Batch Shuffled
2021-09-22 22:53:41.255632 : Epoch  5, Batch     92, Loss  0.771889, Average Loss  0.772098, Time  0.251006
2021-09-22 22:53:41.911801 : Epoch  3, Batch    511, Loss  0.872597, Average Loss  0.871877, Time  0.414165
2021-09-22 22:53:42.349691 : Epoch  5, Batch      1, Loss  0.769558, Average Loss  0.772230, Time  0.254789
2021-09-22 22:53:43.160333 : Epoch  5, Batch     93, Loss  0.770393, Average Loss  0.772099, Time  0.249486
2021-09-22 22:53:44.364366 : Epoch  5, Batch      2, Loss  0.765010, Average Loss  0.772145, Time  0.256761
2021-09-22 22:53:45.105246 : Epoch  5, Batch     94, Loss  0.772147, Average Loss  0.772190, Time  0.253003
2021-09-22 22:53:46.330336 : Epoch  5, Batch      3, Loss  0.765841, Average Loss  0.772140, Time  0.258514
2021-09-22 22:53:46.874769 : Epoch  3, Batch    512, Loss  0.873558, Average Loss  0.871917, Time  0.413796
2021-09-22 22:53:47.059301 : Epoch  5, Batch     95, Loss  0.778948, Average Loss  0.772246, Time  0.251244
2021-09-22 22:53:48.335490 : Epoch  5, Batch      4, Loss  0.772655, Average Loss  0.772172, Time  0.283932
2021-09-22 22:53:48.958789 : Epoch  5, Batch     96, Loss  0.766282, Average Loss  0.772220, Time  0.254376
2021-09-22 22:53:50.367724 : Epoch  5, Batch      5, Loss  0.773166, Average Loss  0.772161, Time  0.256943
2021-09-22 22:53:50.897831 : Epoch  5, Batch     97, Loss  0.778286, Average Loss  0.772250, Time  0.252904
2021-09-22 22:53:51.826761 : Epoch  3, Batch    513, Loss  0.860650, Average Loss  0.871792, Time  0.414472
2021-09-22 22:53:52.339299 : Epoch  5, Batch      6, Loss  0.767743, Average Loss  0.772103, Time  0.297154
2021-09-22 22:53:52.798745 : Epoch  5, Batch     98, Loss  0.765004, Average Loss  0.772216, Time  0.252240
2021-09-22 22:53:54.352973 : Epoch  5, Batch      7, Loss  0.768772, Average Loss  0.772125, Time  0.286293
2021-09-22 22:53:54.694404 : Epoch  5, Batch     99, Loss  0.772256, Average Loss  0.772227, Time  0.249474
2021-09-22 22:53:56.399430 : Epoch  5, Batch      8, Loss  0.768823, Average Loss  0.772210, Time  0.281598
2021-09-22 22:53:56.613044 : Epoch  5, Batch    100, Loss  0.777879, Average Loss  0.772270, Time  0.265937
2021-09-22 22:53:56.787756 : Epoch  3, Batch    514, Loss  0.864511, Average Loss  0.871764, Time  0.413384
2021-09-22 22:53:58.547877 : Epoch  5, Batch      9, Loss  0.770057, Average Loss  0.772182, Time  0.424438
2021-09-22 22:53:58.624272 : Epoch  5, Batch    101, Loss  0.762101, Average Loss  0.772237, Time  0.356822
2021-09-22 22:54:00.807196 : Epoch  5, Batch    102, Loss  0.764152, Average Loss  0.772209, Time  0.471104
2021-09-22 22:54:00.845920 : Epoch  5, Batch     10, Loss  0.782736, Average Loss  0.772251, Time  0.452717
2021-09-22 22:54:01.753919 : Epoch  3, Batch    515, Loss  0.874985, Average Loss  0.871840, Time  0.413800
2021-09-22 22:54:02.806320 : Epoch  5, Batch    103, Loss  0.779372, Average Loss  0.772216, Time  0.333026
2021-09-22 22:54:02.974301 : Epoch  5, Batch     11, Loss  0.760875, Average Loss  0.772209, Time  0.319920
2021-09-22 22:54:04.739240 : Epoch  5, Batch    104, Loss  0.775950, Average Loss  0.772199, Time  0.283871
2021-09-22 22:54:04.934638 : Epoch  5, Batch     12, Loss  0.765732, Average Loss  0.772199, Time  0.278233
2021-09-22 22:54:06.648942 : Epoch  5, Batch    105, Loss  0.774626, Average Loss  0.772216, Time  0.251132
2021-09-22 22:54:06.723046 : Epoch  3, Batch    516, Loss  0.869468, Average Loss  0.871790, Time  0.413498
2021-09-22 22:54:06.920991 : Epoch  5, Batch     13, Loss  0.755542, Average Loss  0.772077, Time  0.255764
2021-09-22 22:54:08.573412 : Epoch  5, Batch    106, Loss  0.759728, Average Loss  0.772158, Time  0.249924
2021-09-22 22:54:08.866979 : Epoch  5, Batch     14, Loss  0.769844, Average Loss  0.772147, Time  0.254944
2021-09-22 22:54:10.480474 : Epoch  5, Batch    107, Loss  0.771377, Average Loss  0.772098, Time  0.249744
2021-09-22 22:54:10.812397 : Epoch  5, Batch     15, Loss  0.782243, Average Loss  0.772204, Time  0.254927
2021-09-22 22:54:11.692047 : Epoch  3, Batch    517, Loss  0.870239, Average Loss  0.871752, Time  0.413449
2021-09-22 22:54:12.414580 : Epoch  5, Batch    108, Loss  0.760667, Average Loss  0.772031, Time  0.264105
2021-09-22 22:54:12.783163 : Epoch  5, Batch     16, Loss  0.773365, Average Loss  0.772237, Time  0.257691
2021-09-22 22:54:14.318218 : Epoch  5, Batch    109, Loss  0.769699, Average Loss  0.771969, Time  0.251387
2021-09-22 22:54:14.737308 : Epoch  5, Batch     17, Loss  0.777553, Average Loss  0.772273, Time  0.271723
2021-09-22 22:54:16.219028 : Epoch  5, Batch    110, Loss  0.763659, Average Loss  0.771926, Time  0.248817
2021-09-22 22:54:16.656717 : Epoch  3, Batch    518, Loss  0.859756, Average Loss  0.871739, Time  0.415013
2021-09-22 22:54:16.674220 : Epoch  5, Batch     18, Loss  0.773156, Average Loss  0.772262, Time  0.254824
2021-09-22 22:54:18.122840 : Epoch  5, Batch    111, Loss  0.770277, Average Loss  0.771921, Time  0.249652
2021-09-22 22:54:18.646228 : Epoch  5, Batch     19, Loss  0.776820, Average Loss  0.772284, Time  0.256045
2021-09-22 22:54:20.034071 : Epoch  5, Batch    112, Loss  0.774286, Average Loss  0.771965, Time  0.250653
2021-09-22 22:54:20.657439 : Epoch  5, Batch     20, Loss  0.776891, Average Loss  0.772295, Time  0.256842
2021-09-22 22:54:21.618735 : Epoch  3, Batch    519, Loss  0.869447, Average Loss  0.871782, Time  0.413369
2021-09-22 22:54:21.960313 : Epoch  5, Batch    113, Loss  0.774415, Average Loss  0.771960, Time  0.250041
2021-09-22 22:54:22.619094 : Epoch  5, Batch     21, Loss  0.772082, Average Loss  0.772279, Time  0.255580
2021-09-22 22:54:23.854825 : Epoch  5, Batch    114, Loss  0.790158, Average Loss  0.772029, Time  0.251186
2021-09-22 22:54:24.617306 : Epoch  5, Batch     22, Loss  0.779697, Average Loss  0.772273, Time  0.255702
2021-09-22 22:54:25.770932 : Epoch  5, Batch    115, Loss  0.770192, Average Loss  0.771977, Time  0.249317
2021-09-22 22:54:26.588217 : Epoch  5, Batch     23, Loss  0.761834, Average Loss  0.772284, Time  0.255461
2021-09-22 22:54:26.611833 : Epoch  3, Batch    520, Loss  0.892313, Average Loss  0.871925, Time  0.457503
2021-09-22 22:54:27.661381 : Epoch  5, Batch    116, Loss  0.780923, Average Loss  0.772014, Time  0.251518
2021-09-22 22:54:28.543631 : Epoch  5, Batch     24, Loss  0.767652, Average Loss  0.772243, Time  0.254884
2021-09-22 22:54:29.577231 : Epoch  5, Batch    117, Loss  0.773646, Average Loss  0.772026, Time  0.255538
2021-09-22 22:54:30.506309 : Epoch  5, Batch     25, Loss  0.765709, Average Loss  0.772178, Time  0.254951
2021-09-22 22:54:31.514006 : Epoch  5, Batch    118, Loss  0.760173, Average Loss  0.771942, Time  0.249709
2021-09-22 22:54:31.591751 : Epoch  3, Batch    521, Loss  0.874699, Average Loss  0.871938, Time  0.413497
2021-09-22 22:54:32.449808 : Epoch  5, Batch     26, Loss  0.766396, Average Loss  0.772108, Time  0.259353
2021-09-22 22:54:33.440749 : Epoch  5, Batch    119, Loss  0.767342, Average Loss  0.771944, Time  0.251234
2021-09-22 22:54:34.403356 : Epoch  5, Batch     27, Loss  0.764709, Average Loss  0.772070, Time  0.260089
2021-09-22 22:54:35.342635 : Epoch  5, Batch    120, Loss  0.768667, Average Loss  0.771931, Time  0.249768
2021-09-22 22:54:36.363223 : Epoch  5, Batch     28, Loss  0.788138, Average Loss  0.772172, Time  0.254433
2021-09-22 22:54:36.567765 : Epoch  3, Batch    522, Loss  0.858321, Average Loss  0.871940, Time  0.414551
2021-09-22 22:54:37.249230 : Epoch  5, Batch    121, Loss  0.780147, Average Loss  0.771976, Time  0.248871
2021-09-22 22:54:38.370780 : Epoch  5, Batch     29, Loss  0.761552, Average Loss  0.772141, Time  0.255081
2021-09-22 22:54:39.170081 : Epoch  5, Batch    122, Loss  0.769253, Average Loss  0.771952, Time  0.250153
2021-09-22 22:54:40.323899 : Epoch  5, Batch     30, Loss  0.786791, Average Loss  0.772174, Time  0.257977
2021-09-22 22:54:41.559812 : Epoch  3, Batch    523, Loss  0.862546, Average Loss  0.871877, Time  0.413566
2021-09-22 22:54:42.305990 : Epoch  5, Batch     31, Loss  0.766074, Average Loss  0.772183, Time  0.260871
2021-09-22 22:54:43.364790 : Epoch  5, Batch    123, Loss  0.763217, Average Loss  0.771847, Time  0.256217
2021-09-22 22:54:44.254231 : Epoch  5, Batch     32, Loss  0.773452, Average Loss  0.772216, Time  0.257083
2021-09-22 22:54:45.277480 : Epoch  5, Batch    124, Loss  0.775416, Average Loss  0.771915, Time  0.250004
2021-09-22 22:54:46.406133 : Epoch  5, Batch     33, Loss  0.765545, Average Loss  0.772135, Time  0.282103
2021-09-22 22:54:46.530359 : Epoch  3, Batch    524, Loss  0.868292, Average Loss  0.871821, Time  0.414038
2021-09-22 22:54:47.191604 : Epoch  5, Batch    125, Loss  0.763761, Average Loss  0.771894, Time  0.252466
2021-09-22 22:54:48.354090 : Epoch  5, Batch     34, Loss  0.781253, Average Loss  0.772143, Time  0.263983
2021-09-22 22:54:49.108283 : Epoch  5, Batch    126, Loss  0.774103, Average Loss  0.771886, Time  0.254072
2021-09-22 22:54:50.301050 : Epoch  5, Batch     35, Loss  0.768194, Average Loss  0.772100, Time  0.255811
2021-09-22 22:54:51.012966 : Epoch  5, Batch    127, Loss  0.779402, Average Loss  0.771856, Time  0.249448
2021-09-22 22:54:51.489729 : Epoch  3, Batch    525, Loss  0.875162, Average Loss  0.871887, Time  0.414291
2021-09-22 22:54:52.278130 : Epoch  5, Batch     36, Loss  0.762968, Average Loss  0.772049, Time  0.254655
2021-09-22 22:54:52.912094 : Epoch  5, Batch    128, Loss  0.776411, Average Loss  0.771862, Time  0.249021
2021-09-22 22:54:54.399303 : Epoch  5, Batch     37, Loss  0.770495, Average Loss  0.772037, Time  0.261668
2021-09-22 22:54:54.811726 : Epoch  5, Batch    129, Loss  0.767379, Average Loss  0.771809, Time  0.248440
2021-09-22 22:54:56.370837 : Epoch  5, Batch     38, Loss  0.782244, Average Loss  0.772082, Time  0.257494
2021-09-22 22:54:56.496037 : Epoch  3, Batch    526, Loss  0.878282, Average Loss  0.871874, Time  0.413738
2021-09-22 22:54:56.706303 : Epoch  5, Batch    130, Loss  0.763478, Average Loss  0.771788, Time  0.251597
2021-09-22 22:54:58.387213 : Epoch  5, Batch     39, Loss  0.769726, Average Loss  0.772081, Time  0.264629
2021-09-22 22:54:58.611125 : Epoch  5, Batch    131, Loss  0.775214, Average Loss  0.771835, Time  0.255744
2021-09-22 22:55:00.532664 : Epoch  5, Batch     40, Loss  0.777251, Average Loss  0.772109, Time  0.405770
2021-09-22 22:55:00.633747 : Epoch  5, Batch    132, Loss  0.773132, Average Loss  0.771848, Time  0.367570
2021-09-22 22:55:01.449806 : Epoch  3, Batch    527, Loss  0.873554, Average Loss  0.871935, Time  0.413553
2021-09-22 22:55:02.804970 : Epoch  5, Batch    133, Loss  0.767644, Average Loss  0.771855, Time  0.503247
2021-09-22 22:55:02.805072 : Epoch  5, Batch     41, Loss  0.780132, Average Loss  0.772192, Time  0.520416
2021-09-22 22:55:04.975759 : Epoch  5, Batch    134, Loss  0.774289, Average Loss  0.771874, Time  0.475844
2021-09-22 22:55:05.028762 : Epoch  5, Batch     42, Loss  0.764897, Average Loss  0.772132, Time  0.445446
2021-09-22 22:55:06.423798 : Epoch  3, Batch    528, Loss  0.877212, Average Loss  0.871972, Time  0.413308
2021-09-22 22:55:07.144122 : Epoch  5, Batch    135, Loss  0.776258, Average Loss  0.771861, Time  0.497999
2021-09-22 22:55:07.181333 : Epoch  5, Batch     43, Loss  0.771362, Average Loss  0.772076, Time  0.465038
2021-09-22 22:55:09.281140 : Epoch  5, Batch    136, Loss  0.779308, Average Loss  0.771906, Time  0.466253
2021-09-22 22:55:09.334768 : Epoch  5, Batch     44, Loss  0.768718, Average Loss  0.772107, Time  0.444197
2021-09-22 22:55:11.430785 : Epoch  3, Batch    529, Loss  0.864467, Average Loss  0.871913, Time  0.462505
2021-09-22 22:55:11.450537 : Epoch  5, Batch    137, Loss  0.774043, Average Loss  0.771955, Time  0.491447
2021-09-22 22:55:11.500992 : Epoch  5, Batch     45, Loss  0.763067, Average Loss  0.772031, Time  0.455407
2021-09-22 22:55:13.569928 : Epoch  5, Batch    138, Loss  0.772312, Average Loss  0.772000, Time  0.454509
2021-09-22 22:55:13.634965 : Epoch  5, Batch     46, Loss  0.767825, Average Loss  0.772026, Time  0.426155
2021-09-22 22:55:15.690887 : Epoch  5, Batch    139, Loss  0.765650, Average Loss  0.771985, Time  0.461187
2021-09-22 22:55:15.751226 : Epoch  5, Batch     47, Loss  0.780349, Average Loss  0.772038, Time  0.428758
2021-09-22 22:55:16.396903 : Epoch  3, Batch    530, Loss  0.858951, Average Loss  0.871828, Time  0.413421
2021-09-22 22:55:17.837222 : Epoch  5, Batch    140, Loss  0.770050, Average Loss  0.771981, Time  0.483777
2021-09-22 22:55:17.885747 : Epoch  5, Batch     48, Loss  0.769675, Average Loss  0.772075, Time  0.450705
2021-09-22 22:55:19.954054 : Epoch  5, Batch    141, Loss  0.769911, Average Loss  0.771971, Time  0.470786
2021-09-22 22:55:20.006999 : Epoch  5, Batch     49, Loss  0.775218, Average Loss  0.772105, Time  0.438359
2021-09-22 22:55:21.368750 : Epoch  3, Batch    531, Loss  0.854043, Average Loss  0.871647, Time  0.413958
2021-09-22 22:55:22.140179 : Epoch  5, Batch    142, Loss  0.775473, Average Loss  0.772001, Time  0.499949
2021-09-22 22:55:22.174979 : Epoch  5, Batch     50, Loss  0.769444, Average Loss  0.772158, Time  0.464705
2021-09-22 22:55:24.286127 : Epoch  5, Batch    143, Loss  0.763327, Average Loss  0.771965, Time  0.494760
2021-09-22 22:55:24.331465 : Epoch  5, Batch     51, Loss  0.768580, Average Loss  0.772177, Time  0.480524
2021-09-22 22:55:26.321984 : Epoch  3, Batch    532, Loss  0.872867, Average Loss  0.871573, Time  0.413255
2021-09-22 22:55:26.393827 : Epoch  5, Batch    144, Loss  0.759653, Average Loss  0.771935, Time  0.440119
2021-09-22 22:55:26.465683 : Epoch  5, Batch     52, Loss  0.753371, Average Loss  0.772046, Time  0.405485
2021-09-22 22:55:28.307917 : Epoch  5, Batch    145, Loss  0.772447, Average Loss  0.771932, Time  0.258958
2021-09-22 22:55:30.230125 : Epoch  5, Batch    146, Loss  0.768553, Average Loss  0.771824, Time  0.259317
2021-09-22 22:55:31.283715 : Epoch  3, Batch    533, Loss  0.855304, Average Loss  0.871459, Time  0.413030
2021-09-22 22:55:32.168496 : Epoch  5, Batch    147, Loss  0.774266, Average Loss  0.771822, Time  0.249978
2021-09-22 22:55:34.090495 : Epoch  5, Batch    148, Loss  0.765744, Average Loss  0.771819, Time  0.273426
2021-09-22 22:55:36.064679 : Epoch  5, Batch    149, Loss  0.774520, Average Loss  0.771800, Time  0.326167
2021-09-22 22:55:36.242005 : Epoch  3, Batch    534, Loss  0.874835, Average Loss  0.871483, Time  0.413476
2021-09-22 22:55:37.978409 : Epoch  5, Batch    150, Loss  0.774295, Average Loss  0.771769, Time  0.249715
2021-09-22 22:55:39.892137 : Epoch  5, Batch    151, Loss  0.775262, Average Loss  0.771768, Time  0.251874
2021-09-22 22:55:41.203897 : Epoch  3, Batch    535, Loss  0.873255, Average Loss  0.871462, Time  0.414239
2021-09-22 22:55:41.809291 : Epoch  5, Batch    152, Loss  0.770672, Average Loss  0.771743, Time  0.251263
2021-09-22 22:55:46.156774 : Epoch  3, Batch    536, Loss  0.874369, Average Loss  0.871469, Time  0.413364
2021-09-22 22:55:51.114322 : Epoch  3, Batch    537, Loss  0.875010, Average Loss  0.871501, Time  0.414276
2021-09-22 22:55:56.132754 : Epoch  3, Batch    538, Loss  0.883119, Average Loss  0.871508, Time  0.463216
2021-09-22 22:56:01.095055 : Epoch  3, Batch    539, Loss  0.883707, Average Loss  0.871589, Time  0.419458
2021-09-22 22:56:06.073746 : Epoch  3, Batch    540, Loss  0.866820, Average Loss  0.871544, Time  0.413563
2021-09-22 22:56:11.039763 : Epoch  3, Batch    541, Loss  0.846604, Average Loss  0.871418, Time  0.413318
2021-09-22 22:56:15.997103 : Epoch  3, Batch    542, Loss  0.870740, Average Loss  0.871428, Time  0.412967
2021-09-22 22:56:20.997759 : Epoch  3, Batch    543, Loss  0.865929, Average Loss  0.871415, Time  0.413364
2021-09-22 22:56:25.956739 : Epoch  3, Batch    544, Loss  0.872761, Average Loss  0.871417, Time  0.413235
2021-09-22 22:56:39.378017 : CheckPoint: Validation Loss  0.00033587, Best Loss  0.00030514
2021-09-22 22:56:41.340122 : Epoch  5, Batch     53, Loss  0.777211, Average Loss  0.772109, Time  0.266643
2021-09-22 22:56:43.327744 : Epoch  5, Batch     54, Loss  0.762907, Average Loss  0.772020, Time  0.301750
2021-09-22 22:56:45.273137 : Epoch  5, Batch     55, Loss  0.769326, Average Loss  0.772005, Time  0.257415
2021-09-22 22:56:47.353944 : Epoch  5, Batch     56, Loss  0.781230, Average Loss  0.772049, Time  0.258399
2021-09-22 22:56:49.343030 : Epoch  5, Batch     57, Loss  0.775602, Average Loss  0.772046, Time  0.254932
2021-09-22 22:56:51.327087 : Epoch  5, Batch     58, Loss  0.771482, Average Loss  0.772058, Time  0.254579
2021-09-22 22:56:53.389163 : Epoch  5, Batch     59, Loss  0.777881, Average Loss  0.772093, Time  0.334605
2021-09-22 22:56:53.823715 : CheckPoint: Validation Loss  0.00032029, Best Loss  0.00030694
2021-09-22 22:56:55.340633 : Epoch  5, Batch     60, Loss  0.769099, Average Loss  0.772030, Time  0.255702
2021-09-22 22:56:55.725046 : Epoch  5, Batch    153, Loss  0.772256, Average Loss  0.771807, Time  0.260027
2021-09-22 22:56:57.303733 : Epoch  5, Batch     61, Loss  0.778026, Average Loss  0.772055, Time  0.256772
2021-09-22 22:56:57.614758 : Epoch  5, Batch    154, Loss  0.760009, Average Loss  0.771707, Time  0.251973
2021-09-22 22:56:59.430162 : Epoch  5, Batch     62, Loss  0.764574, Average Loss  0.771995, Time  0.349071
2021-09-22 22:56:59.583224 : Epoch  5, Batch    155, Loss  0.764802, Average Loss  0.771643, Time  0.296002
2021-09-22 22:57:01.696220 : Epoch  5, Batch     63, Loss  0.778922, Average Loss  0.771980, Time  0.511967
2021-09-22 22:57:01.733368 : Epoch  5, Batch    156, Loss  0.784218, Average Loss  0.771673, Time  0.478645
2021-09-22 22:57:03.910036 : Epoch  5, Batch    157, Loss  0.779492, Average Loss  0.771762, Time  0.515240
2021-09-22 22:57:03.946553 : Epoch  5, Batch     64, Loss  0.771538, Average Loss  0.771942, Time  0.498331
2021-09-22 22:57:05.945574 : Epoch  5, Batch    158, Loss  0.766631, Average Loss  0.771737, Time  0.391867
2021-09-22 22:57:06.052324 : Epoch  5, Batch     65, Loss  0.765695, Average Loss  0.771882, Time  0.361691
2021-09-22 22:57:07.961788 : Epoch  5, Batch    159, Loss  0.758618, Average Loss  0.771659, Time  0.350515
2021-09-22 22:57:08.114101 : Epoch  5, Batch     66, Loss  0.782093, Average Loss  0.772832, Time  0.336365
2021-09-22 22:57:09.871041 : Epoch  5, Batch    160, Loss  0.782940, Average Loss  0.771768, Time  0.252362
2021-09-22 22:57:10.095300 : Epoch  5, Batch     67, Loss  0.758467, Average Loss  0.772768, Time  0.271718
2021-09-22 22:57:11.776327 : Epoch  5, Batch    161, Loss  0.780334, Average Loss  0.771820, Time  0.250734
2021-09-22 22:57:12.068878 : Epoch  5, Batch     68, Loss  0.772328, Average Loss  0.772718, Time  0.265466
2021-09-22 22:57:13.692770 : Epoch  5, Batch    162, Loss  0.769214, Average Loss  0.771778, Time  0.253731
2021-09-22 22:57:14.036658 : Epoch  5, Batch     69, Loss  0.772257, Average Loss  0.772703, Time  0.255109
2021-09-22 22:57:15.600512 : Epoch  5, Batch    163, Loss  0.784808, Average Loss  0.771913, Time  0.249890
2021-09-22 22:57:16.027942 : Epoch  5, Batch     70, Loss  0.775929, Average Loss  0.772691, Time  0.255922
2021-09-22 22:57:17.502313 : Epoch  5, Batch    164, Loss  0.769273, Average Loss  0.771901, Time  0.256763
2021-09-22 22:57:18.085492 : Epoch  5, Batch     71, Loss  0.774764, Average Loss  0.772616, Time  0.256199
2021-09-22 22:57:19.392897 : Epoch  5, Batch    165, Loss  0.761025, Average Loss  0.771787, Time  0.248960
2021-09-22 22:57:20.109396 : Epoch  5, Batch     72, Loss  0.776046, Average Loss  0.772638, Time  0.264340
2021-09-22 22:57:21.303528 : Epoch  5, Batch    166, Loss  0.779614, Average Loss  0.771830, Time  0.251315
2021-09-22 22:57:22.124388 : Epoch  5, Batch     73, Loss  0.767326, Average Loss  0.772487, Time  0.256149
2021-09-22 22:57:23.218880 : Epoch  5, Batch    167, Loss  0.774765, Average Loss  0.771805, Time  0.252737
2021-09-22 22:57:24.281637 : Epoch  5, Batch     74, Loss  0.774361, Average Loss  0.772533, Time  0.286349
2021-09-22 22:57:25.147844 : Epoch  5, Batch    168, Loss  0.768603, Average Loss  0.771756, Time  0.255801
2021-09-22 22:57:26.338809 : Epoch  5, Batch     75, Loss  0.767890, Average Loss  0.772419, Time  0.259037
2021-09-22 22:57:27.045117 : Epoch  5, Batch    169, Loss  0.771210, Average Loss  0.771668, Time  0.249192
2021-09-22 22:57:28.418951 : Epoch  5, Batch     76, Loss  0.768752, Average Loss  0.772368, Time  0.285455
2021-09-22 22:57:28.950677 : Epoch  5, Batch    170, Loss  0.783051, Average Loss  0.771719, Time  0.248284
2021-09-22 22:57:30.385896 : Epoch  5, Batch     77, Loss  0.761288, Average Loss  0.772296, Time  0.255606
2021-09-22 22:57:30.859004 : Epoch  5, Batch    171, Loss  0.769598, Average Loss  0.771756, Time  0.250084
2021-09-22 22:57:32.390277 : Epoch  5, Batch     78, Loss  0.778202, Average Loss  0.772309, Time  0.257862
2021-09-22 22:57:32.747376 : Epoch  5, Batch    172, Loss  0.770540, Average Loss  0.771717, Time  0.250524
2021-09-22 22:57:34.401574 : Epoch  5, Batch     79, Loss  0.771267, Average Loss  0.772348, Time  0.255205
2021-09-22 22:57:34.637883 : Epoch  5, Batch    173, Loss  0.764026, Average Loss  0.771685, Time  0.253350
2021-09-22 22:57:36.436111 : Epoch  5, Batch     80, Loss  0.782863, Average Loss  0.772392, Time  0.333030
2021-09-22 22:57:36.589773 : Epoch  5, Batch    174, Loss  0.781000, Average Loss  0.771770, Time  0.298779
2021-09-22 22:57:38.667367 : Epoch  5, Batch     81, Loss  0.778025, Average Loss  0.772342, Time  0.496598
2021-09-22 22:57:38.700171 : Epoch  5, Batch    175, Loss  0.760613, Average Loss  0.771731, Time  0.453851
2021-09-22 22:57:40.860440 : Epoch  5, Batch    176, Loss  0.778700, Average Loss  0.771760, Time  0.496143
2021-09-22 22:57:40.898853 : Epoch  5, Batch     82, Loss  0.768618, Average Loss  0.772371, Time  0.466162
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2021-09-22 22:57:45.055536 : Epoch  5, Batch    178, Loss  0.770624, Average Loss  0.771638, Time  0.404183
2021-09-22 22:57:45.156143 : Epoch  5, Batch     84, Loss  0.759427, Average Loss  0.772238, Time  0.376150
2021-09-22 22:57:46.965879 : Epoch  5, Batch    179, Loss  0.768202, Average Loss  0.771681, Time  0.254085
2021-09-22 22:57:47.196533 : Epoch  5, Batch     85, Loss  0.777680, Average Loss  0.772282, Time  0.279878
2021-09-22 22:57:48.906911 : Epoch  5, Batch    180, Loss  0.774450, Average Loss  0.771654, Time  0.253159
2021-09-22 22:57:49.173390 : Epoch  5, Batch     86, Loss  0.764114, Average Loss  0.772234, Time  0.255741
2021-09-22 22:57:50.833884 : Epoch  5, Batch    181, Loss  0.769883, Average Loss  0.771626, Time  0.253132
2021-09-22 22:57:51.118543 : Epoch  5, Batch     87, Loss  0.764867, Average Loss  0.772189, Time  0.257546
2021-09-22 22:57:52.770028 : Epoch  5, Batch    182, Loss  0.780549, Average Loss  0.771676, Time  0.253859
2021-09-22 22:57:53.072579 : Epoch  5, Batch     88, Loss  0.779702, Average Loss  0.772159, Time  0.264807
2021-09-22 22:57:54.698925 : Epoch  5, Batch    183, Loss  0.766160, Average Loss  0.771678, Time  0.256271
2021-09-22 22:57:55.060055 : Epoch  5, Batch     89, Loss  0.778546, Average Loss  0.772168, Time  0.258190
2021-09-22 22:57:56.612084 : Epoch  5, Batch    184, Loss  0.768419, Average Loss  0.771668, Time  0.254737
2021-09-22 22:57:57.006985 : Epoch  5, Batch     90, Loss  0.767756, Average Loss  0.772106, Time  0.268086
2021-09-22 22:57:58.512998 : Epoch  5, Batch    185, Loss  0.764987, Average Loss  0.771674, Time  0.250769
2021-09-22 22:57:58.953035 : Epoch  5, Batch     91, Loss  0.778259, Average Loss  0.772113, Time  0.263689
2021-09-22 22:58:00.413731 : Epoch  5, Batch    186, Loss  0.758037, Average Loss  0.771583, Time  0.250693
2021-09-22 22:58:00.923188 : Epoch  5, Batch     92, Loss  0.772635, Average Loss  0.772083, Time  0.256224
2021-09-22 22:58:02.336320 : Epoch  5, Batch    187, Loss  0.751210, Average Loss  0.771470, Time  0.253956
2021-09-22 22:58:02.955244 : Epoch  5, Batch     93, Loss  0.768631, Average Loss  0.772024, Time  0.282224
2021-09-22 22:58:04.239299 : Epoch  5, Batch    188, Loss  0.775743, Average Loss  0.771513, Time  0.249557
2021-09-22 22:58:04.918422 : Epoch  5, Batch     94, Loss  0.782200, Average Loss  0.772044, Time  0.256168
2021-09-22 22:58:06.162375 : Epoch  5, Batch    189, Loss  0.775262, Average Loss  0.771535, Time  0.250643
2021-09-22 22:58:06.895564 : Epoch  5, Batch     95, Loss  0.773793, Average Loss  0.772075, Time  0.269043
2021-09-22 22:58:08.079788 : Epoch  5, Batch    190, Loss  0.784468, Average Loss  0.771601, Time  0.252604
2021-09-22 22:58:08.923126 : Epoch  5, Batch     96, Loss  0.773441, Average Loss  0.772093, Time  0.259284
2021-09-22 22:58:09.993926 : Epoch  5, Batch    191, Loss  0.784420, Average Loss  0.771683, Time  0.249999
2021-09-22 22:58:10.885253 : Epoch  5, Batch     97, Loss  0.775046, Average Loss  0.772114, Time  0.267320
2021-09-22 22:58:11.944119 : Epoch  5, Batch    192, Loss  0.783349, Average Loss  0.771728, Time  0.251220
2021-09-22 22:58:12.873308 : Epoch  5, Batch     98, Loss  0.767942, Average Loss  0.772087, Time  0.258519
2021-09-22 22:58:13.857401 : Epoch  5, Batch    193, Loss  0.773805, Average Loss  0.771688, Time  0.251454
2021-09-22 22:58:14.836278 : Epoch  5, Batch     99, Loss  0.771866, Average Loss  0.772089, Time  0.283591
2021-09-22 22:58:15.767259 : Epoch  5, Batch    194, Loss  0.769222, Average Loss  0.771663, Time  0.249953
2021-09-22 22:58:16.787592 : Epoch  5, Batch    100, Loss  0.774076, Average Loss  0.772088, Time  0.255025
2021-09-22 22:58:17.678869 : Epoch  5, Batch    195, Loss  0.768656, Average Loss  0.771628, Time  0.253409
2021-09-22 22:58:18.732166 : Epoch  5, Batch    101, Loss  0.766629, Average Loss  0.772025, Time  0.257748
2021-09-22 22:58:19.595870 : Epoch  5, Batch    196, Loss  0.776527, Average Loss  0.771689, Time  0.254885
2021-09-22 22:58:20.735049 : Epoch  5, Batch    102, Loss  0.773321, Average Loss  0.772006, Time  0.253883
2021-09-22 22:58:21.513352 : Epoch  5, Batch    197, Loss  0.779765, Average Loss  0.771723, Time  0.259585
2021-09-22 22:58:22.697446 : Epoch  5, Batch    103, Loss  0.765201, Average Loss  0.771974, Time  0.256652
2021-09-22 22:58:23.419941 : Epoch  5, Batch    198, Loss  0.774997, Average Loss  0.771762, Time  0.249461
2021-09-22 22:58:24.760392 : Epoch  5, Batch    104, Loss  0.770772, Average Loss  0.771961, Time  0.292039
2021-09-22 22:58:25.336404 : Epoch  5, Batch    199, Loss  0.780173, Average Loss  0.771835, Time  0.253668
2021-09-22 22:58:26.714257 : Epoch  5, Batch    105, Loss  0.770068, Average Loss  0.771914, Time  0.256854
2021-09-22 22:58:27.250343 : Epoch  5, Batch    200, Loss  0.767135, Average Loss  0.771850, Time  0.249103
2021-09-22 22:58:28.744265 : Epoch  5, Batch    106, Loss  0.764216, Average Loss  0.771814, Time  0.282832
2021-09-22 22:58:29.149275 : Epoch  5, Batch    201, Loss  0.775306, Average Loss  0.771843, Time  0.252127
2021-09-22 22:58:30.717506 : Epoch  5, Batch    107, Loss  0.791622, Average Loss  0.771912, Time  0.254472
2021-09-22 22:58:31.050503 : Epoch  5, Batch    202, Loss  0.768147, Average Loss  0.771852, Time  0.250257
2021-09-22 22:58:32.674873 : Epoch  5, Batch    108, Loss  0.767158, Average Loss  0.771859, Time  0.262714
2021-09-22 22:58:32.959414 : Epoch  5, Batch    203, Loss  0.778438, Average Loss  0.771854, Time  0.252136
2021-09-22 22:58:34.627579 : Epoch  5, Batch    109, Loss  0.772066, Average Loss  0.771886, Time  0.257254
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2021-09-22 22:58:36.569598 : Epoch  5, Batch    110, Loss  0.768442, Average Loss  0.771918, Time  0.254735
2021-09-22 22:58:36.808315 : Epoch  5, Batch    205, Loss  0.763399, Average Loss  0.771807, Time  0.261822
2021-09-22 22:58:38.611006 : Epoch  5, Batch    111, Loss  0.778142, Average Loss  0.771978, Time  0.340658
2021-09-22 22:58:38.762819 : Epoch  5, Batch    206, Loss  0.778176, Average Loss  0.771867, Time  0.307642
2021-09-22 22:58:40.750434 : Epoch  5, Batch    112, Loss  0.775755, Average Loss  0.772009, Time  0.439992
2021-09-22 22:58:40.828099 : Epoch  5, Batch    207, Loss  0.782796, Average Loss  0.771959, Time  0.400025
2021-09-22 22:58:43.007911 : Epoch  5, Batch    113, Loss  0.778838, Average Loss  0.772077, Time  0.524704
2021-09-22 22:58:43.048792 : Epoch  5, Batch    208, Loss  0.770001, Average Loss  0.771949, Time  0.522295
2021-09-22 22:58:45.222325 : Epoch  5, Batch    114, Loss  0.768221, Average Loss  0.772017, Time  0.519535
2021-09-22 22:58:45.259714 : Epoch  5, Batch    209, Loss  0.783067, Average Loss  0.772009, Time  0.505612
2021-09-22 22:58:47.455988 : Epoch  5, Batch    210, Loss  0.781705, Average Loss  0.772083, Time  0.514371
2021-09-22 22:58:47.498222 : Epoch  5, Batch    115, Loss  0.781183, Average Loss  0.772047, Time  0.490561
2021-09-22 22:58:49.531918 : Epoch  5, Batch    211, Loss  0.778666, Average Loss  0.772164, Time  0.406687
2021-09-22 22:58:49.632549 : Epoch  5, Batch    116, Loss  0.771207, Average Loss  0.772110, Time  0.372857
2021-09-22 22:58:51.634932 : Epoch  5, Batch    212, Loss  0.751878, Average Loss  0.772047, Time  0.417485
2021-09-22 22:58:51.732188 : Epoch  5, Batch    117, Loss  0.775876, Average Loss  0.772134, Time  0.389545
2021-09-22 22:58:53.783638 : Epoch  5, Batch    213, Loss  0.780092, Average Loss  0.772054, Time  0.458371
2021-09-22 22:58:53.845860 : Epoch  5, Batch    118, Loss  0.772608, Average Loss  0.772078, Time  0.426514
2021-09-22 22:58:55.804759 : Epoch  5, Batch    214, Loss  0.769259, Average Loss  0.772031, Time  0.365312
2021-09-22 22:58:55.967250 : Epoch  5, Batch    119, Loss  0.773851, Average Loss  0.772015, Time  0.350723
2021-09-22 22:58:57.725427 : Epoch  5, Batch    215, Loss  0.772856, Average Loss  0.771973, Time  0.249521
2021-09-22 22:58:58.042309 : Epoch  5, Batch    120, Loss  0.782386, Average Loss  0.772100, Time  0.257731
2021-09-22 22:58:59.682528 : Epoch  5, Batch    216, Loss  0.757942, Average Loss  0.771956, Time  0.261966
2021-09-22 22:59:00.098873 : Epoch  5, Batch    121, Loss  0.774945, Average Loss  0.772099, Time  0.279628
2021-09-22 22:59:01.606359 : Epoch  5, Batch    217, Loss  0.760122, Average Loss  0.771871, Time  0.253157
2021-09-22 22:59:02.084826 : Epoch  5, Batch    122, Loss  0.782853, Average Loss  0.772128, Time  0.254570
2021-09-22 22:59:03.508007 : Epoch  5, Batch    218, Loss  0.761077, Average Loss  0.771851, Time  0.252395
2021-09-22 22:59:05.430555 : Epoch  5, Batch    219, Loss  0.754695, Average Loss  0.771710, Time  0.252870
2021-09-22 22:59:06.619867 : Epoch  5, Batch    123, Loss  0.777738, Average Loss  0.772140, Time  0.261853
2021-09-22 22:59:07.351594 : Epoch  5, Batch    220, Loss  0.766171, Average Loss  0.771671, Time  0.253223
2021-09-22 22:59:08.600198 : Epoch  5, Batch    124, Loss  0.768194, Average Loss  0.772041, Time  0.255802
2021-09-22 22:59:09.272066 : Epoch  5, Batch    221, Loss  0.776737, Average Loss  0.771730, Time  0.254713
2021-09-22 22:59:10.550420 : Epoch  5, Batch    125, Loss  0.776271, Average Loss  0.772094, Time  0.255154
2021-09-22 22:59:11.192285 : Epoch  5, Batch    222, Loss  0.778949, Average Loss  0.771776, Time  0.251159
2021-09-22 22:59:12.555327 : Epoch  5, Batch    126, Loss  0.769558, Average Loss  0.772070, Time  0.254557
2021-09-22 22:59:14.534083 : Epoch  5, Batch    127, Loss  0.770442, Average Loss  0.772053, Time  0.254653
2021-09-22 22:59:15.381619 : Epoch  5, Batch    223, Loss  0.765187, Average Loss  0.771755, Time  0.252068
2021-09-22 22:59:16.558969 : Epoch  5, Batch    128, Loss  0.764224, Average Loss  0.772015, Time  0.277962
2021-09-22 22:59:17.294152 : Epoch  5, Batch    224, Loss  0.779492, Average Loss  0.771794, Time  0.249745
2021-09-22 22:59:18.582796 : Epoch  5, Batch    129, Loss  0.783276, Average Loss  0.772048, Time  0.280206
2021-09-22 22:59:19.199452 : Epoch  5, Batch    225, Loss  0.762748, Average Loss  0.771808, Time  0.252914
2021-09-22 22:59:20.550645 : Epoch  5, Batch    130, Loss  0.782459, Average Loss  0.772024, Time  0.260372
2021-09-22 22:59:21.130840 : Epoch  5, Batch    226, Loss  0.767102, Average Loss  0.771829, Time  0.251788
2021-09-22 22:59:22.514597 : Epoch  5, Batch    131, Loss  0.771804, Average Loss  0.772015, Time  0.270317
2021-09-22 22:59:23.056293 : Epoch  5, Batch    227, Loss  0.766595, Average Loss  0.771767, Time  0.249892
2021-09-22 22:59:24.442260 : Epoch  5, Batch    132, Loss  0.777701, Average Loss  0.772076, Time  0.255814
2021-09-22 22:59:24.980237 : Epoch  5, Batch    228, Loss  0.785220, Average Loss  0.771878, Time  0.252364
2021-09-22 22:59:26.393136 : Epoch  5, Batch    133, Loss  0.769991, Average Loss  0.772056, Time  0.255819
2021-09-22 22:59:26.924389 : Epoch  5, Batch    229, Loss  0.763417, Average Loss  0.771806, Time  0.253485
2021-09-22 22:59:28.402288 : Epoch  5, Batch    134, Loss  0.761311, Average Loss  0.771990, Time  0.258092
2021-09-22 22:59:28.826464 : Epoch  5, Batch    230, Loss  0.769752, Average Loss  0.771790, Time  0.250162
2021-09-22 22:59:30.352209 : Epoch  5, Batch    135, Loss  0.771432, Average Loss  0.771975, Time  0.254975
2021-09-22 22:59:30.754367 : Epoch  5, Batch    231, Loss  0.758981, Average Loss  0.771682, Time  0.251268
2021-09-22 22:59:32.323248 : Epoch  5, Batch    136, Loss  0.768855, Average Loss  0.771939, Time  0.265340
2021-09-22 22:59:32.659089 : Epoch  5, Batch    232, Loss  0.763637, Average Loss  0.771609, Time  0.249345
2021-09-22 22:59:34.452726 : Epoch  5, Batch    137, Loss  0.767471, Average Loss  0.771882, Time  0.341954
2021-09-22 22:59:34.599768 : Epoch  5, Batch    233, Loss  0.790317, Average Loss  0.771665, Time  0.309481
2021-09-22 22:59:36.665774 : Epoch  5, Batch    138, Loss  0.773176, Average Loss  0.771916, Time  0.495595
2021-09-22 22:59:36.701485 : Epoch  5, Batch    234, Loss  0.763928, Average Loss  0.771695, Time  0.435945
2021-09-22 22:59:38.792958 : Epoch  5, Batch    235, Loss  0.763687, Average Loss  0.771609, Time  0.431400
2021-09-22 22:59:38.877793 : Epoch  5, Batch    139, Loss  0.772925, Average Loss  0.771916, Time  0.405605
2021-09-22 22:59:40.832209 : Epoch  5, Batch    236, Loss  0.773583, Average Loss  0.771601, Time  0.390825
2021-09-22 22:59:40.958072 : Epoch  5, Batch    140, Loss  0.764509, Average Loss  0.771853, Time  0.369484
2021-09-22 22:59:42.819550 : Epoch  5, Batch    237, Loss  0.767261, Average Loss  0.771634, Time  0.333652
2021-09-22 22:59:42.983887 : Epoch  5, Batch    141, Loss  0.778425, Average Loss  0.771890, Time  0.318199
2021-09-22 22:59:44.798750 : Epoch  5, Batch    238, Loss  0.774177, Average Loss  0.771707, Time  0.325176
2021-09-22 22:59:44.969035 : Epoch  5, Batch    142, Loss  0.781430, Average Loss  0.771951, Time  0.304622
2021-09-22 22:59:46.765727 : Epoch  5, Batch    239, Loss  0.763436, Average Loss  0.771621, Time  0.309452
2021-09-22 22:59:46.943930 : Epoch  5, Batch    143, Loss  0.773978, Average Loss  0.771978, Time  0.288641
2021-09-22 22:59:48.684534 : Epoch  5, Batch    240, Loss  0.780010, Average Loss  0.771668, Time  0.252087
2021-09-22 22:59:48.961261 : Epoch  5, Batch    144, Loss  0.764002, Average Loss  0.771906, Time  0.258148
2021-09-22 22:59:50.622115 : Epoch  5, Batch    241, Loss  0.766116, Average Loss  0.771703, Time  0.254239
2021-09-22 22:59:50.906660 : Epoch  5, Batch    145, Loss  0.761932, Average Loss  0.771897, Time  0.257831
2021-09-22 22:59:52.522746 : Epoch  5, Batch    242, Loss  0.767544, Average Loss  0.771673, Time  0.249398
2021-09-22 22:59:52.860450 : Epoch  5, Batch    146, Loss  0.781823, Average Loss  0.771912, Time  0.257286
2021-09-22 22:59:54.416923 : Epoch  5, Batch    243, Loss  0.772862, Average Loss  0.771732, Time  0.252109
2021-09-22 22:59:54.798572 : Epoch  5, Batch    147, Loss  0.776396, Average Loss  0.771915, Time  0.256926
2021-09-22 22:59:56.313989 : Epoch  5, Batch    244, Loss  0.775803, Average Loss  0.771686, Time  0.250812
2021-09-22 22:59:56.743819 : Epoch  5, Batch    148, Loss  0.769932, Average Loss  0.771915, Time  0.258559
2021-09-22 22:59:58.225917 : Epoch  5, Batch    245, Loss  0.772452, Average Loss  0.771664, Time  0.248506
2021-09-22 22:59:58.695993 : Epoch  5, Batch    149, Loss  0.780365, Average Loss  0.771983, Time  0.255840
2021-09-22 23:00:00.135273 : Epoch  5, Batch    246, Loss  0.796653, Average Loss  0.771790, Time  0.254313
2021-09-22 23:00:00.640010 : Epoch  5, Batch    150, Loss  0.774476, Average Loss  0.771987, Time  0.255873
2021-09-22 23:00:02.031966 : Epoch  5, Batch    247, Loss  0.782423, Average Loss  0.771805, Time  0.256461
2021-09-22 23:00:02.604827 : Epoch  5, Batch    151, Loss  0.778602, Average Loss  0.772043, Time  0.257418
2021-09-22 23:00:03.965006 : Epoch  5, Batch    248, Loss  0.770302, Average Loss  0.771685, Time  0.253325
2021-09-22 23:00:04.621373 : Epoch  5, Batch    152, Loss  0.760831, Average Loss  0.771984, Time  0.264423
2021-09-22 23:00:05.899443 : Epoch  5, Batch    249, Loss  0.762969, Average Loss  0.771634, Time  0.264073
2021-09-22 23:00:07.853158 : Epoch  5, Batch    250, Loss  0.763975, Average Loss  0.771570, Time  0.252850
2021-09-22 23:00:09.847072 : Epoch  5, Batch    251, Loss  0.759744, Average Loss  0.771559, Time  0.270507
2021-09-22 23:00:11.763581 : Epoch  5, Batch    252, Loss  0.773185, Average Loss  0.771641, Time  0.253079
2021-09-22 23:00:22.377766 : CheckPoint: Validation Loss  0.00015016, Best Loss  0.00014923
2021-09-22 23:00:27.346034 : Epoch  3, Batch    545, Loss  0.850295, Average Loss  0.871299, Time  0.414207
2021-09-22 23:00:32.325041 : Epoch  3, Batch    546, Loss  0.875864, Average Loss  0.871283, Time  0.414657
2021-09-22 23:00:37.363951 : Epoch  3, Batch    547, Loss  0.882369, Average Loss  0.871324, Time  0.451203
2021-09-22 23:00:42.373451 : Epoch  3, Batch    548, Loss  0.854039, Average Loss  0.871167, Time  0.414243
2021-09-22 23:00:47.339219 : Epoch  3, Batch    549, Loss  0.854312, Average Loss  0.871064, Time  0.413287
2021-09-22 23:00:52.314189 : Epoch  3, Batch    550, Loss  0.863705, Average Loss  0.870997, Time  0.413432
2021-09-22 23:00:57.280056 : Epoch  3, Batch    551, Loss  0.867715, Average Loss  0.871031, Time  0.413387
2021-09-22 23:01:02.230400 : Epoch  3, Batch    552, Loss  0.880601, Average Loss  0.871088, Time  0.413482
2021-09-22 23:01:07.195092 : Epoch  3, Batch    553, Loss  0.871437, Average Loss  0.871045, Time  0.413169
2021-09-22 23:01:12.161946 : Epoch  3, Batch    554, Loss  0.871728, Average Loss  0.870994, Time  0.414424
2021-09-22 23:01:17.130751 : Epoch  3, Batch    555, Loss  0.857010, Average Loss  0.870963, Time  0.413098
2021-09-22 23:01:17.648843 : CheckPoint: Validation Loss  0.00032225, Best Loss  0.00030514
2021-09-22 23:01:19.612350 : Epoch  5, Batch    153, Loss  0.761902, Average Loss  0.771891, Time  0.265171
2021-09-22 23:01:21.650443 : Epoch  5, Batch    154, Loss  0.764045, Average Loss  0.771832, Time  0.331800
2021-09-22 23:01:22.130815 : Epoch  3, Batch    556, Loss  0.858530, Average Loss  0.870850, Time  0.465747
2021-09-22 23:01:23.668085 : Epoch  5, Batch    155, Loss  0.764733, Average Loss  0.771765, Time  0.254504
2021-09-22 23:01:23.739811 : CheckPoint: Validation Loss  0.00033048, Best Loss  0.00030694
2021-09-22 23:01:25.881916 : Epoch  5, Batch    253, Loss  0.776043, Average Loss  0.771633, Time  0.495731
2021-09-22 23:01:25.923612 : Epoch  5, Batch    156, Loss  0.769660, Average Loss  0.771781, Time  0.467926
2021-09-22 23:01:27.084958 : Epoch  3, Batch    557, Loss  0.887758, Average Loss  0.870988, Time  0.415645
2021-09-22 23:01:27.952679 : Epoch  5, Batch    254, Loss  0.757877, Average Loss  0.771578, Time  0.435147
2021-09-22 23:01:28.030689 : Epoch  5, Batch    157, Loss  0.779109, Average Loss  0.771812, Time  0.407727
2021-09-22 23:01:30.096649 : Epoch  5, Batch    255, Loss  0.779919, Average Loss  0.771626, Time  0.470099
2021-09-22 23:01:30.171290 : Epoch  5, Batch    158, Loss  0.788966, Average Loss  0.771857, Time  0.467466
2021-09-22 23:01:32.050098 : Epoch  3, Batch    558, Loss  0.867753, Average Loss  0.870996, Time  0.413436
2021-09-22 23:01:32.109880 : Epoch  5, Batch    256, Loss  0.777205, Average Loss  0.771636, Time  0.387719
2021-09-22 23:01:32.226040 : Epoch  5, Batch    159, Loss  0.755875, Average Loss  0.771780, Time  0.361848
2021-09-22 23:01:34.122906 : Epoch  5, Batch    257, Loss  0.757584, Average Loss  0.771542, Time  0.383598
2021-09-22 23:01:34.236972 : Epoch  5, Batch    160, Loss  0.769645, Average Loss  0.771772, Time  0.347659
2021-09-22 23:01:36.011325 : Epoch  5, Batch    258, Loss  0.782661, Average Loss  0.771544, Time  0.252632
2021-09-22 23:01:36.294814 : Epoch  5, Batch    161, Loss  0.756405, Average Loss  0.771693, Time  0.285259
2021-09-22 23:01:37.007030 : Epoch  3, Batch    559, Loss  0.865580, Average Loss  0.870997, Time  0.414214
2021-09-22 23:01:37.936477 : Epoch  5, Batch    259, Loss  0.772299, Average Loss  0.771488, Time  0.261584
2021-09-22 23:01:38.235980 : Epoch  5, Batch    162, Loss  0.769035, Average Loss  0.771727, Time  0.256261
2021-09-22 23:01:39.862737 : Epoch  5, Batch    260, Loss  0.770969, Average Loss  0.771465, Time  0.255627
2021-09-22 23:01:40.163952 : Epoch  5, Batch    163, Loss  0.783061, Average Loss  0.771749, Time  0.254732
2021-09-22 23:01:41.757921 : Epoch  5, Batch    261, Loss  0.773910, Average Loss  0.771544, Time  0.252395
2021-09-22 23:01:42.048002 : Epoch  3, Batch    560, Loss  0.876186, Average Loss  0.871018, Time  0.413805
2021-09-22 23:01:42.225376 : Epoch  5, Batch    164, Loss  0.772710, Average Loss  0.771740, Time  0.262189
2021-09-22 23:01:43.672373 : Epoch  5, Batch    262, Loss  0.767825, Average Loss  0.771561, Time  0.253264
2021-09-22 23:01:44.343282 : Epoch  5, Batch    165, Loss  0.761244, Average Loss  0.771727, Time  0.285651
2021-09-22 23:01:45.593491 : Epoch  5, Batch    263, Loss  0.778558, Average Loss  0.771628, Time  0.261256
2021-09-22 23:01:46.330175 : Epoch  5, Batch    166, Loss  0.773876, Average Loss  0.771736, Time  0.265864
2021-09-22 23:01:47.004473 : Epoch  3, Batch    561, Loss  0.885527, Average Loss  0.871058, Time  0.413855
2021-09-22 23:01:47.502098 : Epoch  5, Batch    264, Loss  0.773050, Average Loss  0.771650, Time  0.249564
2021-09-22 23:01:48.308505 : Epoch  5, Batch    167, Loss  0.769794, Average Loss  0.771760, Time  0.258002
2021-09-22 23:01:49.405043 : Epoch  5, Batch    265, Loss  0.779075, Average Loss  0.771672, Time  0.255970
2021-09-22 23:01:50.282031 : Epoch  5, Batch    168, Loss  0.769308, Average Loss  0.771740, Time  0.256935
2021-09-22 23:01:51.329085 : Epoch  5, Batch    266, Loss  0.774910, Average Loss  0.771627, Time  0.248976
2021-09-22 23:01:51.969999 : Epoch  3, Batch    562, Loss  0.871575, Average Loss  0.871158, Time  0.415142
2021-09-22 23:01:52.299019 : Epoch  5, Batch    169, Loss  0.782429, Average Loss  0.771742, Time  0.257143
2021-09-22 23:01:53.234901 : Epoch  5, Batch    267, Loss  0.775446, Average Loss  0.771617, Time  0.262644
2021-09-22 23:01:54.318451 : Epoch  5, Batch    170, Loss  0.773600, Average Loss  0.771743, Time  0.254997
2021-09-22 23:01:55.127980 : Epoch  5, Batch    268, Loss  0.773295, Average Loss  0.771664, Time  0.251677
2021-09-22 23:01:56.372625 : Epoch  5, Batch    171, Loss  0.765846, Average Loss  0.771756, Time  0.254950
2021-09-22 23:01:56.947928 : Epoch  3, Batch    563, Loss  0.861308, Average Loss  0.871103, Time  0.413503
2021-09-22 23:01:57.031151 : Epoch  5, Batch    269, Loss  0.764278, Average Loss  0.771620, Time  0.256127
2021-09-22 23:01:58.340169 : Epoch  5, Batch    172, Loss  0.776742, Average Loss  0.771788, Time  0.255104
2021-09-22 23:01:58.951218 : Epoch  5, Batch    270, Loss  0.777624, Average Loss  0.771579, Time  0.249053
2021-09-22 23:02:00.295342 : Epoch  5, Batch    173, Loss  0.772887, Average Loss  0.771762, Time  0.254951
2021-09-22 23:02:00.872983 : Epoch  5, Batch    271, Loss  0.784598, Average Loss  0.771697, Time  0.251575
2021-09-22 23:02:01.922875 : Epoch  3, Batch    564, Loss  0.881810, Average Loss  0.871141, Time  0.414101
2021-09-22 23:02:02.286175 : Epoch  5, Batch    174, Loss  0.767933, Average Loss  0.771748, Time  0.268034
2021-09-22 23:02:02.784349 : Epoch  5, Batch    272, Loss  0.765270, Average Loss  0.771673, Time  0.253690
2021-09-22 23:02:04.268277 : Epoch  5, Batch    175, Loss  0.763766, Average Loss  0.771734, Time  0.264725
2021-09-22 23:02:04.678934 : Epoch  5, Batch    273, Loss  0.763388, Average Loss  0.771649, Time  0.252286
2021-09-22 23:02:06.209185 : Epoch  5, Batch    176, Loss  0.766677, Average Loss  0.771731, Time  0.254849
2021-09-22 23:02:06.570794 : Epoch  5, Batch    274, Loss  0.761324, Average Loss  0.771617, Time  0.250852
2021-09-22 23:02:06.931739 : Epoch  3, Batch    565, Loss  0.863347, Average Loss  0.871159, Time  0.438668
2021-09-22 23:02:08.247739 : Epoch  5, Batch    177, Loss  0.760939, Average Loss  0.771690, Time  0.267016
2021-09-22 23:02:08.458078 : Epoch  5, Batch    275, Loss  0.780869, Average Loss  0.771636, Time  0.266020
2021-09-22 23:02:10.446479 : Epoch  5, Batch    178, Loss  0.773774, Average Loss  0.771774, Time  0.437413
2021-09-22 23:02:10.489010 : Epoch  5, Batch    276, Loss  0.768165, Average Loss  0.771614, Time  0.398364
2021-09-22 23:02:11.925917 : Epoch  3, Batch    566, Loss  0.868062, Average Loss  0.871161, Time  0.413430
2021-09-22 23:02:12.628555 : Epoch  5, Batch    277, Loss  0.783789, Average Loss  0.771694, Time  0.492088
2021-09-22 23:02:12.665707 : Epoch  5, Batch    179, Loss  0.769967, Average Loss  0.771777, Time  0.460253
2021-09-22 23:02:14.626876 : Epoch  5, Batch    278, Loss  0.773952, Average Loss  0.771707, Time  0.349343
2021-09-22 23:02:14.768323 : Epoch  5, Batch    180, Loss  0.786071, Average Loss  0.771874, Time  0.321582
2021-09-22 23:02:16.532992 : Epoch  5, Batch    279, Loss  0.765020, Average Loss  0.771668, Time  0.250631
2021-09-22 23:02:16.786168 : Epoch  5, Batch    181, Loss  0.779984, Average Loss  0.771892, Time  0.294930
2021-09-22 23:02:16.879295 : Epoch  3, Batch    567, Loss  0.867263, Average Loss  0.871079, Time  0.413275
2021-09-22 23:02:18.427044 : Epoch  5, Batch    280, Loss  0.784627, Average Loss  0.771680, Time  0.249547
2021-09-22 23:02:18.769347 : Epoch  5, Batch    182, Loss  0.777562, Average Loss  0.771929, Time  0.254709
2021-09-22 23:02:20.334300 : Epoch  5, Batch    281, Loss  0.787454, Average Loss  0.771751, Time  0.252091
2021-09-22 23:02:20.730181 : Epoch  5, Batch    183, Loss  0.773360, Average Loss  0.771898, Time  0.256403
2021-09-22 23:02:21.866188 : Epoch  3, Batch    568, Loss  0.849897, Average Loss  0.870939, Time  0.413674
2021-09-22 23:02:22.247690 : Epoch  5, Batch    282, Loss  0.767956, Average Loss  0.771772, Time  0.250283
2021-09-22 23:02:22.746349 : Epoch  5, Batch    184, Loss  0.766718, Average Loss  0.771890, Time  0.259575
2021-09-22 23:02:24.148448 : Epoch  5, Batch    283, Loss  0.762630, Average Loss  0.771688, Time  0.249540
2021-09-22 23:02:24.725978 : Epoch  5, Batch    185, Loss  0.780612, Average Loss  0.771923, Time  0.284475
2021-09-22 23:02:26.048207 : Epoch  5, Batch    284, Loss  0.773387, Average Loss  0.771690, Time  0.251570
2021-09-22 23:02:26.696532 : Epoch  5, Batch    186, Loss  0.775172, Average Loss  0.771898, Time  0.263491
2021-09-22 23:02:26.837982 : Epoch  3, Batch    569, Loss  0.869952, Average Loss  0.870937, Time  0.413080
2021-09-22 23:02:27.954010 : Epoch  5, Batch    285, Loss  0.759486, Average Loss  0.771574, Time  0.251140
2021-09-22 23:02:28.704949 : Epoch  5, Batch    187, Loss  0.762913, Average Loss  0.771854, Time  0.254677
2021-09-22 23:02:29.867152 : Epoch  5, Batch    286, Loss  0.783921, Average Loss  0.771637, Time  0.257178
2021-09-22 23:02:30.680884 : Epoch  5, Batch    188, Loss  0.770168, Average Loss  0.771842, Time  0.263098
2021-09-22 23:02:31.789103 : Epoch  5, Batch    287, Loss  0.776354, Average Loss  0.771661, Time  0.258522
2021-09-22 23:02:31.809834 : Epoch  3, Batch    570, Loss  0.878996, Average Loss  0.870946, Time  0.413122
2021-09-22 23:02:32.633591 : Epoch  5, Batch    189, Loss  0.777447, Average Loss  0.771888, Time  0.253431
2021-09-22 23:02:33.701277 : Epoch  5, Batch    288, Loss  0.779864, Average Loss  0.771667, Time  0.248949
2021-09-22 23:02:34.596592 : Epoch  5, Batch    190, Loss  0.783326, Average Loss  0.771907, Time  0.267205
2021-09-22 23:02:35.596303 : Epoch  5, Batch    289, Loss  0.764754, Average Loss  0.771652, Time  0.250404
2021-09-22 23:02:36.657935 : Epoch  5, Batch    191, Loss  0.776008, Average Loss  0.771977, Time  0.257577
2021-09-22 23:02:36.828983 : Epoch  3, Batch    571, Loss  0.867439, Average Loss  0.870894, Time  0.413512
2021-09-22 23:02:37.500151 : Epoch  5, Batch    290, Loss  0.771260, Average Loss  0.771689, Time  0.250132
2021-09-22 23:02:38.650094 : Epoch  5, Batch    192, Loss  0.772437, Average Loss  0.772027, Time  0.275125
2021-09-22 23:02:39.395717 : Epoch  5, Batch    291, Loss  0.790597, Average Loss  0.771785, Time  0.249447
2021-09-22 23:02:40.613924 : Epoch  5, Batch    193, Loss  0.759988, Average Loss  0.771952, Time  0.257332
2021-09-22 23:02:41.325682 : Epoch  5, Batch    292, Loss  0.775820, Average Loss  0.771805, Time  0.252568
2021-09-22 23:02:41.787499 : Epoch  3, Batch    572, Loss  0.875472, Average Loss  0.870914, Time  0.414218
2021-09-22 23:02:42.566704 : Epoch  5, Batch    194, Loss  0.769216, Average Loss  0.771899, Time  0.258422
2021-09-22 23:02:43.245449 : Epoch  5, Batch    293, Loss  0.769769, Average Loss  0.771802, Time  0.252512
2021-09-22 23:02:44.552370 : Epoch  5, Batch    195, Loss  0.772549, Average Loss  0.771922, Time  0.261625
2021-09-22 23:02:45.123279 : Epoch  5, Batch    294, Loss  0.775994, Average Loss  0.771821, Time  0.248789
2021-09-22 23:02:46.524760 : Epoch  5, Batch    196, Loss  0.771504, Average Loss  0.771884, Time  0.265759
2021-09-22 23:02:46.746804 : Epoch  3, Batch    573, Loss  0.868831, Average Loss  0.870931, Time  0.414505
2021-09-22 23:02:47.027652 : Epoch  5, Batch    295, Loss  0.774718, Average Loss  0.771800, Time  0.249854
2021-09-22 23:02:48.491767 : Epoch  5, Batch    197, Loss  0.768652, Average Loss  0.771907, Time  0.254993
2021-09-22 23:02:48.914248 : Epoch  5, Batch    296, Loss  0.761488, Average Loss  0.771776, Time  0.248493
2021-09-22 23:02:50.548847 : Epoch  5, Batch    198, Loss  0.780098, Average Loss  0.771941, Time  0.255724
2021-09-22 23:02:50.808634 : Epoch  5, Batch    297, Loss  0.783638, Average Loss  0.771803, Time  0.251234
2021-09-22 23:02:51.720146 : Epoch  3, Batch    574, Loss  0.871423, Average Loss  0.870942, Time  0.413304
2021-09-22 23:02:52.626871 : Epoch  5, Batch    199, Loss  0.769586, Average Loss  0.771880, Time  0.365263
2021-09-22 23:02:52.762254 : Epoch  5, Batch    298, Loss  0.763082, Average Loss  0.771793, Time  0.328615
2021-09-22 23:02:54.853914 : Epoch  5, Batch    200, Loss  0.766986, Average Loss  0.771876, Time  0.502298
2021-09-22 23:02:54.888901 : Epoch  5, Batch    299, Loss  0.790660, Average Loss  0.771885, Time  0.459084
2021-09-22 23:02:56.747870 : Epoch  3, Batch    575, Loss  0.870991, Average Loss  0.870976, Time  0.460928
2021-09-22 23:02:57.041087 : Epoch  5, Batch    300, Loss  0.766612, Average Loss  0.771829, Time  0.493215
2021-09-22 23:02:57.082563 : Epoch  5, Batch    201, Loss  0.775137, Average Loss  0.771904, Time  0.470215
2021-09-22 23:02:59.158946 : Epoch  5, Batch    301, Loss  0.762644, Average Loss  0.771832, Time  0.456427
2021-09-22 23:02:59.223485 : Epoch  5, Batch    202, Loss  0.779198, Average Loss  0.771975, Time  0.427642
2021-09-22 23:03:01.291256 : Epoch  5, Batch    302, Loss  0.773181, Average Loss  0.771877, Time  0.463016
2021-09-22 23:03:01.342384 : Epoch  5, Batch    203, Loss  0.768772, Average Loss  0.771990, Time  0.425519
2021-09-22 23:03:01.715018 : Epoch  3, Batch    576, Loss  0.867159, Average Loss  0.870903, Time  0.413417
2021-09-22 23:03:03.375030 : Epoch  5, Batch    303, Loss  0.770435, Average Loss  0.771832, Time  0.431056
2021-09-22 23:03:03.478494 : Epoch  5, Batch    204, Loss  0.772126, Average Loss  0.771987, Time  0.425127
2021-09-22 23:03:05.460544 : Epoch  5, Batch    304, Loss  0.761138, Average Loss  0.771758, Time  0.420702
2021-09-22 23:03:05.550014 : Epoch  5, Batch    205, Loss  0.771051, Average Loss  0.771976, Time  0.391021
2021-09-22 23:03:06.692749 : Epoch  3, Batch    577, Loss  0.868504, Average Loss  0.870859, Time  0.423042
2021-09-22 23:03:07.545408 : Epoch  5, Batch    305, Loss  0.765649, Average Loss  0.771713, Time  0.432072
2021-09-22 23:03:07.623375 : Epoch  5, Batch    206, Loss  0.774479, Average Loss  0.772010, Time  0.396103
2021-09-22 23:03:09.593799 : Epoch  5, Batch    306, Loss  0.768447, Average Loss  0.771757, Time  0.392503
2021-09-22 23:03:09.705167 : Epoch  5, Batch    207, Loss  0.781835, Average Loss  0.772075, Time  0.361587
2021-09-22 23:03:11.596335 : Epoch  5, Batch    307, Loss  0.761123, Average Loss  0.771705, Time  0.332267
2021-09-22 23:03:11.665017 : Epoch  3, Batch    578, Loss  0.862879, Average Loss  0.870884, Time  0.413013
2021-09-22 23:03:11.754889 : Epoch  5, Batch    208, Loss  0.775471, Average Loss  0.772109, Time  0.314056
2021-09-22 23:03:13.520856 : Epoch  5, Batch    308, Loss  0.764243, Average Loss  0.771723, Time  0.262719
2021-09-22 23:03:13.742621 : Epoch  5, Batch    209, Loss  0.771170, Average Loss  0.772114, Time  0.275225
2021-09-22 23:03:15.420644 : Epoch  5, Batch    309, Loss  0.766571, Average Loss  0.771708, Time  0.251402
2021-09-22 23:03:15.700290 : Epoch  5, Batch    210, Loss  0.782139, Average Loss  0.772111, Time  0.254809
2021-09-22 23:03:16.635016 : Epoch  3, Batch    579, Loss  0.871201, Average Loss  0.870848, Time  0.413339
2021-09-22 23:03:17.329339 : Epoch  5, Batch    310, Loss  0.772393, Average Loss  0.771751, Time  0.252570
2021-09-22 23:03:17.701880 : Epoch  5, Batch    211, Loss  0.772558, Average Loss  0.772170, Time  0.257177
2021-09-22 23:03:19.244059 : Epoch  5, Batch    311, Loss  0.765784, Average Loss  0.771729, Time  0.252735
2021-09-22 23:03:19.687184 : Epoch  5, Batch    212, Loss  0.765353, Average Loss  0.772168, Time  0.256916
2021-09-22 23:03:21.150350 : Epoch  5, Batch    312, Loss  0.771850, Average Loss  0.771717, Time  0.249405
2021-09-22 23:03:21.606874 : Epoch  3, Batch    580, Loss  0.871785, Average Loss  0.870843, Time  0.413165
2021-09-22 23:03:21.648415 : Epoch  5, Batch    213, Loss  0.784588, Average Loss  0.772313, Time  0.254118
2021-09-22 23:03:23.053301 : Epoch  5, Batch    313, Loss  0.763819, Average Loss  0.771664, Time  0.249062
2021-09-22 23:03:23.802381 : Epoch  5, Batch    214, Loss  0.771486, Average Loss  0.772321, Time  0.281887
2021-09-22 23:03:24.958268 : Epoch  5, Batch    314, Loss  0.777955, Average Loss  0.771603, Time  0.250835
2021-09-22 23:03:25.769313 : Epoch  5, Batch    215, Loss  0.767546, Average Loss  0.772248, Time  0.259784
2021-09-22 23:03:26.589721 : Epoch  3, Batch    581, Loss  0.874472, Average Loss  0.870803, Time  0.413169
2021-09-22 23:03:26.877448 : Epoch  5, Batch    315, Loss  0.761742, Average Loss  0.771560, Time  0.251112
2021-09-22 23:03:27.710078 : Epoch  5, Batch    216, Loss  0.773825, Average Loss  0.772250, Time  0.254532
2021-09-22 23:03:28.758051 : Epoch  5, Batch    316, Loss  0.768477, Average Loss  0.771498, Time  0.253972
2021-09-22 23:03:29.695685 : Epoch  5, Batch    217, Loss  0.779995, Average Loss  0.772262, Time  0.267081
2021-09-22 23:03:30.673181 : Epoch  5, Batch    317, Loss  0.775185, Average Loss  0.771506, Time  0.250986
2021-09-22 23:03:31.557948 : Epoch  3, Batch    582, Loss  0.880138, Average Loss  0.870858, Time  0.413582
2021-09-22 23:03:31.669081 : Epoch  5, Batch    218, Loss  0.767988, Average Loss  0.772236, Time  0.257330
2021-09-22 23:03:32.596897 : Epoch  5, Batch    318, Loss  0.772886, Average Loss  0.771569, Time  0.252322
2021-09-22 23:03:33.611907 : Epoch  5, Batch    219, Loss  0.765059, Average Loss  0.772178, Time  0.254427
2021-09-22 23:03:34.482963 : Epoch  5, Batch    319, Loss  0.769281, Average Loss  0.771579, Time  0.248720
2021-09-22 23:03:35.581623 : Epoch  5, Batch    220, Loss  0.763963, Average Loss  0.772113, Time  0.255393
2021-09-22 23:03:36.400348 : Epoch  5, Batch    320, Loss  0.778483, Average Loss  0.771628, Time  0.249236
2021-09-22 23:03:36.528950 : Epoch  3, Batch    583, Loss  0.871607, Average Loss  0.870937, Time  0.413321
2021-09-22 23:03:37.529949 : Epoch  5, Batch    221, Loss  0.774273, Average Loss  0.772124, Time  0.255987
2021-09-22 23:03:38.322482 : Epoch  5, Batch    321, Loss  0.780139, Average Loss  0.771628, Time  0.250979
2021-09-22 23:03:39.479386 : Epoch  5, Batch    222, Loss  0.771839, Average Loss  0.772085, Time  0.256038
2021-09-22 23:03:40.250956 : Epoch  5, Batch    322, Loss  0.781625, Average Loss  0.771690, Time  0.255789
2021-09-22 23:03:41.558131 : Epoch  3, Batch    584, Loss  0.880127, Average Loss  0.870985, Time  0.467358
2021-09-22 23:03:44.011778 : Epoch  5, Batch    223, Loss  0.773787, Average Loss  0.772144, Time  0.267219
2021-09-22 23:03:44.793390 : Epoch  5, Batch    323, Loss  0.774645, Average Loss  0.771747, Time  0.258855
2021-09-22 23:03:45.953445 : Epoch  5, Batch    224, Loss  0.764379, Average Loss  0.772128, Time  0.254210
2021-09-22 23:03:46.539829 : Epoch  3, Batch    585, Loss  0.857951, Average Loss  0.870888, Time  0.420799
2021-09-22 23:03:46.702443 : Epoch  5, Batch    324, Loss  0.781978, Average Loss  0.771780, Time  0.251932
2021-09-22 23:03:47.911132 : Epoch  5, Batch    225, Loss  0.770781, Average Loss  0.772153, Time  0.254338
2021-09-22 23:03:48.600124 : Epoch  5, Batch    325, Loss  0.768721, Average Loss  0.771805, Time  0.250911
2021-09-22 23:03:49.906883 : Epoch  5, Batch    226, Loss  0.775378, Average Loss  0.772198, Time  0.256390
2021-09-22 23:03:50.514166 : Epoch  5, Batch    326, Loss  0.781031, Average Loss  0.771839, Time  0.253376
2021-09-22 23:03:51.508998 : Epoch  3, Batch    586, Loss  0.880361, Average Loss  0.870955, Time  0.413826
2021-09-22 23:03:52.017691 : Epoch  5, Batch    227, Loss  0.769331, Average Loss  0.772221, Time  0.282351
2021-09-22 23:03:52.423132 : Epoch  5, Batch    327, Loss  0.763490, Average Loss  0.771760, Time  0.251642
2021-09-22 23:03:54.018117 : Epoch  5, Batch    228, Loss  0.769726, Average Loss  0.772129, Time  0.280354
2021-09-22 23:03:54.309351 : Epoch  5, Batch    328, Loss  0.770973, Average Loss  0.771733, Time  0.258389
2021-09-22 23:03:56.317473 : Epoch  5, Batch    229, Loss  0.771421, Average Loss  0.772179, Time  0.450537
2021-09-22 23:03:56.385299 : Epoch  5, Batch    329, Loss  0.770064, Average Loss  0.771746, Time  0.397150
2021-09-22 23:03:56.489002 : Epoch  3, Batch    587, Loss  0.857765, Average Loss  0.870868, Time  0.414099
2021-09-22 23:03:58.523788 : Epoch  5, Batch    230, Loss  0.770736, Average Loss  0.772098, Time  0.510649
2021-09-22 23:03:58.562043 : Epoch  5, Batch    330, Loss  0.769251, Average Loss  0.771775, Time  0.474413
2021-09-22 23:04:00.645434 : Epoch  5, Batch    331, Loss  0.786169, Average Loss  0.771830, Time  0.420513
2021-09-22 23:04:00.740342 : Epoch  5, Batch    231, Loss  0.764802, Average Loss  0.772092, Time  0.391418
2021-09-22 23:04:01.464868 : Epoch  3, Batch    588, Loss  0.872622, Average Loss  0.870843, Time  0.414880
2021-09-22 23:04:02.671990 : Epoch  5, Batch    332, Loss  0.769041, Average Loss  0.771809, Time  0.375682
2021-09-22 23:04:02.795761 : Epoch  5, Batch    232, Loss  0.768496, Average Loss  0.772067, Time  0.345820
2021-09-22 23:04:04.691675 : Epoch  5, Batch    333, Loss  0.766076, Average Loss  0.771801, Time  0.371701
2021-09-22 23:04:04.821387 : Epoch  5, Batch    233, Loss  0.770663, Average Loss  0.772093, Time  0.332845
2021-09-22 23:04:06.438009 : Epoch  3, Batch    589, Loss  0.854711, Average Loss  0.870776, Time  0.413447
2021-09-22 23:04:06.667998 : Epoch  5, Batch    334, Loss  0.764467, Average Loss  0.771752, Time  0.330056
2021-09-22 23:04:06.826926 : Epoch  5, Batch    234, Loss  0.766011, Average Loss  0.772017, Time  0.304253
2021-09-22 23:04:08.611010 : Epoch  5, Batch    335, Loss  0.778790, Average Loss  0.771765, Time  0.291645
2021-09-22 23:04:08.801767 : Epoch  5, Batch    235, Loss  0.767522, Average Loss  0.772013, Time  0.283593
2021-09-22 23:04:10.535043 : Epoch  5, Batch    336, Loss  0.772848, Average Loss  0.771733, Time  0.262483
2021-09-22 23:04:10.861691 : Epoch  5, Batch    236, Loss  0.775093, Average Loss  0.772074, Time  0.255099
2021-09-22 23:04:11.413904 : Epoch  3, Batch    590, Loss  0.872150, Average Loss  0.870840, Time  0.413177
2021-09-22 23:04:12.449941 : Epoch  5, Batch    337, Loss  0.764069, Average Loss  0.771683, Time  0.261447
2021-09-22 23:04:12.848142 : Epoch  5, Batch    237, Loss  0.775650, Average Loss  0.772100, Time  0.254927
2021-09-22 23:04:14.364481 : Epoch  5, Batch    338, Loss  0.770803, Average Loss  0.771675, Time  0.249986
2021-09-22 23:04:14.820998 : Epoch  5, Batch    238, Loss  0.784055, Average Loss  0.772109, Time  0.264175
2021-09-22 23:04:16.278227 : Epoch  5, Batch    339, Loss  0.765393, Average Loss  0.771674, Time  0.252767
2021-09-22 23:04:16.382023 : Epoch  3, Batch    591, Loss  0.858965, Average Loss  0.870713, Time  0.413529
2021-09-22 23:04:16.780380 : Epoch  5, Batch    239, Loss  0.770393, Average Loss  0.772112, Time  0.257754
2021-09-22 23:04:18.183793 : Epoch  5, Batch    340, Loss  0.776971, Average Loss  0.771709, Time  0.248883
2021-09-22 23:04:18.744304 : Epoch  5, Batch    240, Loss  0.777565, Average Loss  0.772114, Time  0.255418
2021-09-22 23:04:20.103264 : Epoch  5, Batch    341, Loss  0.779260, Average Loss  0.771755, Time  0.258792
2021-09-22 23:04:20.725317 : Epoch  5, Batch    241, Loss  0.768161, Average Loss  0.772054, Time  0.254673
2021-09-22 23:04:21.361910 : Epoch  3, Batch    592, Loss  0.864237, Average Loss  0.870727, Time  0.413077
2021-09-22 23:04:22.017950 : Epoch  5, Batch    342, Loss  0.780922, Average Loss  0.771783, Time  0.251168
2021-09-22 23:04:22.698058 : Epoch  5, Batch    242, Loss  0.771297, Average Loss  0.772086, Time  0.264626
2021-09-22 23:04:23.942898 : Epoch  5, Batch    343, Loss  0.771296, Average Loss  0.771822, Time  0.255531
2021-09-22 23:04:24.644839 : Epoch  5, Batch    243, Loss  0.784273, Average Loss  0.772150, Time  0.259375
2021-09-22 23:04:25.877447 : Epoch  5, Batch    344, Loss  0.752034, Average Loss  0.771784, Time  0.252310
2021-09-22 23:04:26.361063 : Epoch  3, Batch    593, Loss  0.879470, Average Loss  0.870787, Time  0.430943
2021-09-22 23:04:26.675706 : Epoch  5, Batch    244, Loss  0.769658, Average Loss  0.772155, Time  0.284724
2021-09-22 23:04:27.793970 : Epoch  5, Batch    345, Loss  0.768653, Average Loss  0.771765, Time  0.253007
2021-09-22 23:04:28.726155 : Epoch  5, Batch    245, Loss  0.769387, Average Loss  0.772187, Time  0.282393
2021-09-22 23:04:29.698926 : Epoch  5, Batch    346, Loss  0.772803, Average Loss  0.771787, Time  0.252788
2021-09-22 23:04:30.733879 : Epoch  5, Batch    246, Loss  0.774575, Average Loss  0.772220, Time  0.256294
2021-09-22 23:04:31.325732 : Epoch  3, Batch    594, Loss  0.869211, Average Loss  0.870805, Time  0.413228
2021-09-22 23:04:31.617245 : Epoch  5, Batch    347, Loss  0.766509, Average Loss  0.771748, Time  0.251034
2021-09-22 23:04:32.710164 : Epoch  5, Batch    247, Loss  0.777139, Average Loss  0.772204, Time  0.257435
2021-09-22 23:04:33.538270 : Epoch  5, Batch    348, Loss  0.769976, Average Loss  0.771769, Time  0.253252
2021-09-22 23:04:34.680647 : Epoch  5, Batch    248, Loss  0.774237, Average Loss  0.772227, Time  0.255841
2021-09-22 23:04:35.459841 : Epoch  5, Batch    349, Loss  0.757274, Average Loss  0.771683, Time  0.252020
2021-09-22 23:04:36.284410 : Epoch  3, Batch    595, Loss  0.868964, Average Loss  0.870733, Time  0.413239
2021-09-22 23:04:36.690348 : Epoch  5, Batch    249, Loss  0.762395, Average Loss  0.772163, Time  0.261959
2021-09-22 23:04:37.371405 : Epoch  5, Batch    350, Loss  0.776661, Average Loss  0.771695, Time  0.250936
2021-09-22 23:04:38.656157 : Epoch  5, Batch    250, Loss  0.767249, Average Loss  0.772152, Time  0.259947
2021-09-22 23:04:39.266830 : Epoch  5, Batch    351, Loss  0.777290, Average Loss  0.771705, Time  0.249539
2021-09-22 23:04:40.654874 : Epoch  5, Batch    251, Loss  0.773032, Average Loss  0.772174, Time  0.254992
2021-09-22 23:04:41.176869 : Epoch  5, Batch    352, Loss  0.764691, Average Loss  0.771675, Time  0.256645
2021-09-22 23:04:41.285909 : Epoch  3, Batch    596, Loss  0.880300, Average Loss  0.870854, Time  0.417480
2021-09-22 23:04:42.603367 : Epoch  5, Batch    252, Loss  0.776446, Average Loss  0.772290, Time  0.254771
2021-09-22 23:04:46.252891 : Epoch  3, Batch    597, Loss  0.861946, Average Loss  0.870864, Time  0.413546
2021-09-22 23:04:51.219891 : Epoch  3, Batch    598, Loss  0.871840, Average Loss  0.870815, Time  0.414328
2021-09-22 23:04:56.196742 : Epoch  3, Batch    599, Loss  0.875812, Average Loss  0.870802, Time  0.413291
2021-09-22 23:05:01.155880 : Epoch  3, Batch    600, Loss  0.874501, Average Loss  0.870811, Time  0.414456
2021-09-22 23:05:06.135993 : Epoch  3, Batch    601, Loss  0.883366, Average Loss  0.870860, Time  0.413503
2021-09-22 23:05:11.144767 : Epoch  3, Batch    602, Loss  0.863757, Average Loss  0.870800, Time  0.458322
2021-09-22 23:05:16.117914 : Epoch  3, Batch    603, Loss  0.862136, Average Loss  0.870769, Time  0.413210
2021-09-22 23:05:21.083039 : Epoch  3, Batch    604, Loss  0.861056, Average Loss  0.870733, Time  0.413089
2021-09-22 23:05:26.057856 : Epoch  3, Batch    605, Loss  0.860435, Average Loss  0.870649, Time  0.413617
2021-09-22 23:05:31.015796 : Epoch  3, Batch    606, Loss  0.897102, Average Loss  0.870781, Time  0.413610
2021-09-22 23:05:35.978739 : Epoch  3, Batch    607, Loss  0.867518, Average Loss  0.870707, Time  0.414039
2021-09-22 23:05:40.968903 : Epoch  3, Batch    608, Loss  0.868804, Average Loss  0.870699, Time  0.413615
2021-09-22 23:05:45.946764 : Epoch  3, Batch    609, Loss  0.861248, Average Loss  0.870673, Time  0.413981
2021-09-22 23:05:50.919733 : Epoch  3, Batch    610, Loss  0.873459, Average Loss  0.870703, Time  0.416672
2021-09-22 23:05:52.753751 : CheckPoint: Validation Loss  0.00032923, Best Loss  0.00030694
2021-09-22 23:05:54.685046 : Epoch  5, Batch    353, Loss  0.767835, Average Loss  0.771653, Time  0.272657
2021-09-22 23:05:55.894819 : Epoch  3, Batch    611, Loss  0.866056, Average Loss  0.870699, Time  0.413695
2021-09-22 23:05:56.585014 : Epoch  5, Batch    354, Loss  0.782580, Average Loss  0.771766, Time  0.252090
2021-09-22 23:05:57.434426 : CheckPoint: Validation Loss  0.00031004, Best Loss  0.00030514
2021-09-22 23:05:58.499477 : Epoch  5, Batch    355, Loss  0.768766, Average Loss  0.771785, Time  0.250922
2021-09-22 23:05:59.416980 : Epoch  5, Batch    253, Loss  0.776443, Average Loss  0.772286, Time  0.263441
2021-09-22 23:06:00.408893 : Epoch  5, Batch    356, Loss  0.771663, Average Loss  0.771723, Time  0.251081
2021-09-22 23:06:00.899198 : Epoch  3, Batch    612, Loss  0.865041, Average Loss  0.870593, Time  0.452664
2021-09-22 23:06:01.364147 : Epoch  5, Batch    254, Loss  0.767440, Average Loss  0.772309, Time  0.254445
2021-09-22 23:06:02.321816 : Epoch  5, Batch    357, Loss  0.764178, Average Loss  0.771646, Time  0.248951
2021-09-22 23:06:03.317697 : Epoch  5, Batch    255, Loss  0.777174, Average Loss  0.772348, Time  0.258492
2021-09-22 23:06:04.229993 : Epoch  5, Batch    358, Loss  0.754194, Average Loss  0.771584, Time  0.249273
2021-09-22 23:06:05.275829 : Epoch  5, Batch    256, Loss  0.769631, Average Loss  0.772290, Time  0.268417
2021-09-22 23:06:05.853780 : Epoch  3, Batch    613, Loss  0.877364, Average Loss  0.870672, Time  0.413449
2021-09-22 23:06:06.141098 : Epoch  5, Batch    359, Loss  0.768663, Average Loss  0.771634, Time  0.249874
2021-09-22 23:06:07.226933 : Epoch  5, Batch    257, Loss  0.777543, Average Loss  0.772300, Time  0.255429
2021-09-22 23:06:08.043801 : Epoch  5, Batch    360, Loss  0.769249, Average Loss  0.771566, Time  0.251643
2021-09-22 23:06:09.202468 : Epoch  5, Batch    258, Loss  0.770414, Average Loss  0.772294, Time  0.264597
2021-09-22 23:06:09.973966 : Epoch  5, Batch    361, Loss  0.757536, Average Loss  0.771452, Time  0.262291
2021-09-22 23:06:10.825165 : Epoch  3, Batch    614, Loss  0.877021, Average Loss  0.870760, Time  0.413437
2021-09-22 23:06:11.165172 : Epoch  5, Batch    259, Loss  0.766661, Average Loss  0.772238, Time  0.258975
2021-09-22 23:06:11.880318 : Epoch  5, Batch    362, Loss  0.784405, Average Loss  0.771528, Time  0.252785
2021-09-22 23:06:13.113252 : Epoch  5, Batch    260, Loss  0.773654, Average Loss  0.772261, Time  0.257620
2021-09-22 23:06:13.796388 : Epoch  5, Batch    363, Loss  0.762255, Average Loss  0.771415, Time  0.254891
2021-09-22 23:06:15.071250 : Epoch  5, Batch    261, Loss  0.771376, Average Loss  0.772228, Time  0.267460
2021-09-22 23:06:15.710070 : Epoch  5, Batch    364, Loss  0.774803, Average Loss  0.771442, Time  0.249645
2021-09-22 23:06:15.800742 : Epoch  3, Batch    615, Loss  0.880187, Average Loss  0.870714, Time  0.413191
2021-09-22 23:06:17.059540 : Epoch  5, Batch    262, Loss  0.771031, Average Loss  0.772260, Time  0.277222
2021-09-22 23:06:17.639845 : Epoch  5, Batch    365, Loss  0.778538, Average Loss  0.771530, Time  0.249291
2021-09-22 23:06:19.025908 : Epoch  5, Batch    263, Loss  0.770590, Average Loss  0.772218, Time  0.259982
2021-09-22 23:06:19.556848 : Epoch  5, Batch    366, Loss  0.777904, Average Loss  0.771522, Time  0.250271
2021-09-22 23:06:20.773999 : Epoch  3, Batch    616, Loss  0.872202, Average Loss  0.870638, Time  0.413652
2021-09-22 23:06:21.017626 : Epoch  5, Batch    264, Loss  0.780023, Average Loss  0.772261, Time  0.271080
2021-09-22 23:06:21.478675 : Epoch  5, Batch    367, Loss  0.775824, Average Loss  0.771527, Time  0.254467
2021-09-22 23:06:23.010591 : Epoch  5, Batch    265, Loss  0.777207, Average Loss  0.772318, Time  0.257777
2021-09-22 23:06:23.369262 : Epoch  5, Batch    368, Loss  0.776178, Average Loss  0.771565, Time  0.249624
2021-09-22 23:06:24.983533 : Epoch  5, Batch    266, Loss  0.773312, Average Loss  0.772274, Time  0.258645
2021-09-22 23:06:25.270954 : Epoch  5, Batch    369, Loss  0.771183, Average Loss  0.771565, Time  0.249739
2021-09-22 23:06:25.776732 : Epoch  3, Batch    617, Loss  0.863046, Average Loss  0.870602, Time  0.412970
2021-09-22 23:06:26.954843 : Epoch  5, Batch    267, Loss  0.783349, Average Loss  0.772399, Time  0.262632
2021-09-22 23:06:27.184483 : Epoch  5, Batch    370, Loss  0.771025, Average Loss  0.771504, Time  0.257762
2021-09-22 23:06:29.073765 : Epoch  5, Batch    268, Loss  0.756752, Average Loss  0.772321, Time  0.397047
2021-09-22 23:06:29.180317 : Epoch  5, Batch    371, Loss  0.767871, Average Loss  0.771496, Time  0.352636
2021-09-22 23:06:30.733155 : Epoch  3, Batch    618, Loss  0.879411, Average Loss  0.870614, Time  0.413284
2021-09-22 23:06:31.302997 : Epoch  5, Batch    269, Loss  0.791109, Average Loss  0.772415, Time  0.516458
2021-09-22 23:06:31.347064 : Epoch  5, Batch    372, Loss  0.772495, Average Loss  0.771506, Time  0.490525
2021-09-22 23:06:33.500858 : Epoch  5, Batch    373, Loss  0.768092, Average Loss  0.771526, Time  0.513598
2021-09-22 23:06:33.537450 : Epoch  5, Batch    270, Loss  0.781686, Average Loss  0.772444, Time  0.501890
2021-09-22 23:06:35.689163 : Epoch  5, Batch    374, Loss  0.779603, Average Loss  0.771519, Time  0.497745
2021-09-22 23:06:35.712948 : Epoch  3, Batch    619, Loss  0.868032, Average Loss  0.870711, Time  0.413141
2021-09-22 23:06:35.733833 : Epoch  5, Batch    271, Loss  0.771315, Average Loss  0.772427, Time  0.489869
2021-09-22 23:06:37.767304 : Epoch  5, Batch    375, Loss  0.760372, Average Loss  0.771518, Time  0.428683
2021-09-22 23:06:37.864143 : Epoch  5, Batch    272, Loss  0.768400, Average Loss  0.772388, Time  0.409934
2021-09-22 23:06:39.801044 : Epoch  5, Batch    376, Loss  0.774941, Average Loss  0.771499, Time  0.376961
2021-09-22 23:06:39.930716 : Epoch  5, Batch    273, Loss  0.780506, Average Loss  0.772454, Time  0.347814
2021-09-22 23:06:40.671753 : Epoch  3, Batch    620, Loss  0.870876, Average Loss  0.870694, Time  0.413193
2021-09-22 23:06:41.746619 : Epoch  5, Batch    377, Loss  0.781965, Average Loss  0.771602, Time  0.294811
2021-09-22 23:06:41.945497 : Epoch  5, Batch    274, Loss  0.772942, Average Loss  0.772447, Time  0.291243
2021-09-22 23:06:43.654757 : Epoch  5, Batch    378, Loss  0.767121, Average Loss  0.771585, Time  0.255389
2021-09-22 23:06:43.921309 : Epoch  5, Batch    275, Loss  0.778753, Average Loss  0.772502, Time  0.268003
2021-09-22 23:06:45.560312 : Epoch  5, Batch    379, Loss  0.783769, Average Loss  0.771662, Time  0.252590
2021-09-22 23:06:45.692977 : Epoch  3, Batch    621, Loss  0.889892, Average Loss  0.870794, Time  0.459289
2021-09-22 23:06:45.913407 : Epoch  5, Batch    276, Loss  0.767108, Average Loss  0.772493, Time  0.275556
2021-09-22 23:06:47.464746 : Epoch  5, Batch    380, Loss  0.776909, Average Loss  0.771675, Time  0.250829
2021-09-22 23:06:47.907073 : Epoch  5, Batch    277, Loss  0.774802, Average Loss  0.772561, Time  0.257421
2021-09-22 23:06:49.371089 : Epoch  5, Batch    381, Loss  0.765982, Average Loss  0.771655, Time  0.256850
2021-09-22 23:06:49.859996 : Epoch  5, Batch    278, Loss  0.775718, Average Loss  0.772548, Time  0.259048
2021-09-22 23:06:50.664084 : Epoch  3, Batch    622, Loss  0.873047, Average Loss  0.870810, Time  0.414251
2021-09-22 23:06:51.284662 : Epoch  5, Batch    382, Loss  0.762523, Average Loss  0.771565, Time  0.250955
2021-09-22 23:06:51.834693 : Epoch  5, Batch    279, Loss  0.771442, Average Loss  0.772549, Time  0.255280
2021-09-22 23:06:53.188910 : Epoch  5, Batch    383, Loss  0.764846, Average Loss  0.771558, Time  0.250161
2021-09-22 23:06:53.824178 : Epoch  5, Batch    280, Loss  0.774622, Average Loss  0.772508, Time  0.274289
2021-09-22 23:06:55.102731 : Epoch  5, Batch    384, Loss  0.763225, Average Loss  0.771533, Time  0.249022
2021-09-22 23:06:55.640848 : Epoch  3, Batch    623, Loss  0.868697, Average Loss  0.870840, Time  0.414026
2021-09-22 23:06:55.789477 : Epoch  5, Batch    281, Loss  0.771097, Average Loss  0.772474, Time  0.260132
2021-09-22 23:06:57.007703 : Epoch  5, Batch    385, Loss  0.779247, Average Loss  0.771604, Time  0.253043
2021-09-22 23:06:57.739556 : Epoch  5, Batch    282, Loss  0.772249, Average Loss  0.772492, Time  0.261113
2021-09-22 23:06:58.931869 : Epoch  5, Batch    386, Loss  0.781039, Average Loss  0.771719, Time  0.251013
2021-09-22 23:06:59.706444 : Epoch  5, Batch    283, Loss  0.778162, Average Loss  0.772546, Time  0.259300
2021-09-22 23:07:00.619840 : Epoch  3, Batch    624, Loss  0.880743, Average Loss  0.870842, Time  0.414089
2021-09-22 23:07:00.839159 : Epoch  5, Batch    387, Loss  0.761987, Average Loss  0.771773, Time  0.249113
2021-09-22 23:07:01.681548 : Epoch  5, Batch    284, Loss  0.772325, Average Loss  0.772610, Time  0.258719
2021-09-22 23:07:02.740943 : Epoch  5, Batch    388, Loss  0.760035, Average Loss  0.771694, Time  0.253052
2021-09-22 23:07:03.628324 : Epoch  5, Batch    285, Loss  0.759494, Average Loss  0.772519, Time  0.256075
2021-09-22 23:07:04.659985 : Epoch  5, Batch    389, Loss  0.783133, Average Loss  0.771734, Time  0.250343
2021-09-22 23:07:05.595748 : Epoch  5, Batch    286, Loss  0.762561, Average Loss  0.772512, Time  0.263196
2021-09-22 23:07:05.602747 : Epoch  3, Batch    625, Loss  0.869324, Average Loss  0.870890, Time  0.414309
2021-09-22 23:07:06.554817 : Epoch  5, Batch    390, Loss  0.769167, Average Loss  0.771657, Time  0.249088
2021-09-22 23:07:07.598974 : Epoch  5, Batch    287, Loss  0.782358, Average Loss  0.772599, Time  0.268567
2021-09-22 23:07:08.474426 : Epoch  5, Batch    391, Loss  0.774379, Average Loss  0.771607, Time  0.253633
2021-09-22 23:07:09.571663 : Epoch  5, Batch    288, Loss  0.768208, Average Loss  0.772542, Time  0.261857
2021-09-22 23:07:10.380349 : Epoch  5, Batch    392, Loss  0.759919, Average Loss  0.771490, Time  0.253299
2021-09-22 23:07:10.588450 : Epoch  3, Batch    626, Loss  0.881547, Average Loss  0.870915, Time  0.413088
2021-09-22 23:07:11.554233 : Epoch  5, Batch    289, Loss  0.773490, Average Loss  0.772516, Time  0.260514
2021-09-22 23:07:12.279536 : Epoch  5, Batch    393, Loss  0.775179, Average Loss  0.771497, Time  0.249028
2021-09-22 23:07:13.529469 : Epoch  5, Batch    290, Loss  0.775831, Average Loss  0.772557, Time  0.257496
2021-09-22 23:07:14.185166 : Epoch  5, Batch    394, Loss  0.779381, Average Loss  0.771547, Time  0.252213
2021-09-22 23:07:15.517341 : Epoch  5, Batch    291, Loss  0.760500, Average Loss  0.772468, Time  0.271921
2021-09-22 23:07:15.534955 : Epoch  3, Batch    627, Loss  0.873759, Average Loss  0.871006, Time  0.413193
2021-09-22 23:07:16.099020 : Epoch  5, Batch    395, Loss  0.761231, Average Loss  0.771510, Time  0.252582
2021-09-22 23:07:17.494465 : Epoch  5, Batch    292, Loss  0.761207, Average Loss  0.772411, Time  0.264247
2021-09-22 23:07:18.023371 : Epoch  5, Batch    396, Loss  0.775860, Average Loss  0.771507, Time  0.253500
2021-09-22 23:07:19.480588 : Epoch  5, Batch    293, Loss  0.771375, Average Loss  0.772424, Time  0.274078
2021-09-22 23:07:19.918541 : Epoch  5, Batch    397, Loss  0.772588, Average Loss  0.771471, Time  0.250776
2021-09-22 23:07:20.498957 : Epoch  3, Batch    628, Loss  0.857777, Average Loss  0.870911, Time  0.413353
2021-09-22 23:07:21.470536 : Epoch  5, Batch    294, Loss  0.774726, Average Loss  0.772387, Time  0.267573
2021-09-22 23:07:21.793043 : Epoch  5, Batch    398, Loss  0.774881, Average Loss  0.771470, Time  0.250463
2021-09-22 23:07:23.457521 : Epoch  5, Batch    295, Loss  0.767504, Average Loss  0.772356, Time  0.268995
2021-09-22 23:07:23.690914 : Epoch  5, Batch    399, Loss  0.776399, Average Loss  0.771452, Time  0.260777
2021-09-22 23:07:25.477798 : Epoch  3, Batch    629, Loss  0.871230, Average Loss  0.870918, Time  0.413670
2021-09-22 23:07:25.572021 : Epoch  5, Batch    296, Loss  0.767129, Average Loss  0.772324, Time  0.399878
2021-09-22 23:07:25.693285 : Epoch  5, Batch    400, Loss  0.781929, Average Loss  0.771526, Time  0.349717
2021-09-22 23:07:27.803072 : Epoch  5, Batch    297, Loss  0.775846, Average Loss  0.772328, Time  0.517563
2021-09-22 23:07:27.844293 : Epoch  5, Batch    401, Loss  0.776853, Average Loss  0.771533, Time  0.490560
2021-09-22 23:07:30.017952 : Epoch  5, Batch    298, Loss  0.783328, Average Loss  0.772405, Time  0.522537
2021-09-22 23:07:30.056080 : Epoch  5, Batch    402, Loss  0.770739, Average Loss  0.771546, Time  0.531608
2021-09-22 23:07:30.489941 : Epoch  3, Batch    630, Loss  0.879975, Average Loss  0.871001, Time  0.464145
2021-09-22 23:07:32.161234 : Epoch  5, Batch    403, Loss  0.770122, Average Loss  0.771505, Time  0.494716
2021-09-22 23:07:32.194466 : Epoch  5, Batch    299, Loss  0.769765, Average Loss  0.772394, Time  0.468811
2021-09-22 23:07:34.323915 : Epoch  5, Batch    404, Loss  0.779739, Average Loss  0.771543, Time  0.505208
2021-09-22 23:07:34.358962 : Epoch  5, Batch    300, Loss  0.763254, Average Loss  0.772340, Time  0.477786
2021-09-22 23:07:34.495076 : Epoch  5, Batch    405, Loss  0.903763, Average Loss  0.772245, Time  0.122236
2021-09-22 23:07:35.448051 : Epoch  3, Batch    631, Loss  0.886255, Average Loss  0.871049, Time  0.420411
2021-09-22 23:07:36.570252 : Epoch  5, Batch    406, Loss  0.766325, Average Loss  0.772186, Time  0.456074
2021-09-22 23:07:36.605975 : Epoch  5, Batch    301, Loss  0.768852, Average Loss  0.772351, Time  0.515985
2021-09-22 23:07:38.657928 : Epoch  5, Batch    407, Loss  0.766508, Average Loss  0.772104, Time  0.455404
2021-09-22 23:07:38.727078 : Epoch  5, Batch    302, Loss  0.779989, Average Loss  0.772385, Time  0.431558
2021-09-22 23:07:40.419763 : Epoch  3, Batch    632, Loss  0.881595, Average Loss  0.871078, Time  0.413389
2021-09-22 23:07:40.748065 : Epoch  5, Batch    408, Loss  0.789538, Average Loss  0.772202, Time  0.430998
2021-09-22 23:07:40.829136 : Epoch  5, Batch    303, Loss  0.775239, Average Loss  0.772435, Time  0.401078
2021-09-22 23:07:42.835796 : Epoch  5, Batch    409, Loss  0.787672, Average Loss  0.772225, Time  0.421826
2021-09-22 23:07:42.926386 : Epoch  5, Batch    304, Loss  0.760533, Average Loss  0.772384, Time  0.395810
2021-09-22 23:07:44.930656 : Epoch  5, Batch    410, Loss  0.777140, Average Loss  0.772202, Time  0.426665
2021-09-22 23:07:45.016424 : Epoch  5, Batch    305, Loss  0.784185, Average Loss  0.772454, Time  0.390824
2021-09-22 23:07:45.389455 : Epoch  3, Batch    633, Loss  0.871628, Average Loss  0.870995, Time  0.413481
2021-09-22 23:07:47.017775 : Epoch  5, Batch    411, Loss  0.789561, Average Loss  0.772257, Time  0.420999
2021-09-22 23:07:47.110750 : Epoch  5, Batch    306, Loss  0.774602, Average Loss  0.772506, Time  0.394974
2021-09-22 23:07:49.018622 : Epoch  5, Batch    412, Loss  0.784089, Average Loss  0.772418, Time  0.361709
2021-09-22 23:07:49.179414 : Epoch  5, Batch    307, Loss  0.764103, Average Loss  0.772369, Time  0.359123
2021-09-22 23:07:50.351299 : Epoch  3, Batch    634, Loss  0.885480, Average Loss  0.871053, Time  0.414403
2021-09-22 23:07:50.915903 : Epoch  5, Batch    413, Loss  0.787436, Average Loss  0.772454, Time  0.250944
2021-09-22 23:07:51.194945 : Epoch  5, Batch    308, Loss  0.776341, Average Loss  0.772415, Time  0.259230
2021-09-22 23:07:52.817224 : Epoch  5, Batch    414, Loss  0.783162, Average Loss  0.772524, Time  0.249422
2021-09-22 23:07:53.157712 : Epoch  5, Batch    309, Loss  0.767888, Average Loss  0.772394, Time  0.262951
2021-09-22 23:07:54.728060 : Epoch  5, Batch    415, Loss  0.789984, Average Loss  0.772610, Time  0.252013
2021-09-22 23:07:55.121418 : Epoch  5, Batch    310, Loss  0.787207, Average Loss  0.772488, Time  0.282163
2021-09-22 23:07:55.319728 : Epoch  3, Batch    635, Loss  0.871400, Average Loss  0.871075, Time  0.413337
2021-09-22 23:07:56.629786 : Epoch  5, Batch    416, Loss  0.783355, Average Loss  0.772737, Time  0.254666
2021-09-22 23:07:57.074004 : Epoch  5, Batch    311, Loss  0.772431, Average Loss  0.772459, Time  0.265521
2021-09-22 23:07:58.509419 : Epoch  5, Batch    417, Loss  0.787349, Average Loss  0.772873, Time  0.248622
2021-09-22 23:07:59.027644 : Epoch  5, Batch    312, Loss  0.752385, Average Loss  0.772342, Time  0.263154
2021-09-22 23:08:00.271859 : Epoch  3, Batch    636, Loss  0.866753, Average Loss  0.871057, Time  0.414442
2021-09-22 23:08:00.421321 : Epoch  5, Batch    418, Loss  0.779510, Average Loss  0.772965, Time  0.251691
2021-09-22 23:08:01.031063 : Epoch  5, Batch    313, Loss  0.770059, Average Loss  0.772298, Time  0.255551
2021-09-22 23:08:02.307829 : Epoch  5, Batch    419, Loss  0.785798, Average Loss  0.773120, Time  0.248850
2021-09-22 23:08:02.995872 : Epoch  5, Batch    314, Loss  0.771363, Average Loss  0.772314, Time  0.260167
2021-09-22 23:08:04.233181 : Epoch  5, Batch    420, Loss  0.789972, Average Loss  0.773239, Time  0.248892
2021-09-22 23:08:04.957250 : Epoch  5, Batch    315, Loss  0.768324, Average Loss  0.772250, Time  0.255497
2021-09-22 23:08:05.287141 : Epoch  3, Batch    637, Loss  0.868926, Average Loss  0.871047, Time  0.413211
2021-09-22 23:08:06.132726 : Epoch  5, Batch    421, Loss  0.783429, Average Loss  0.773273, Time  0.251697
2021-09-22 23:08:06.934691 : Epoch  5, Batch    316, Loss  0.769305, Average Loss  0.772240, Time  0.263521
2021-09-22 23:08:08.038155 : Epoch  5, Batch    422, Loss  0.783415, Average Loss  0.773295, Time  0.250386
2021-09-22 23:08:08.898511 : Epoch  5, Batch    317, Loss  0.767640, Average Loss  0.772199, Time  0.266217
2021-09-22 23:08:09.950238 : Epoch  5, Batch    423, Loss  0.773145, Average Loss  0.773335, Time  0.250544
2021-09-22 23:08:10.329808 : Epoch  3, Batch    638, Loss  0.863261, Average Loss  0.871020, Time  0.414233
2021-09-22 23:08:10.887130 : Epoch  5, Batch    318, Loss  0.776787, Average Loss  0.772220, Time  0.270014
2021-09-22 23:08:12.859838 : Epoch  5, Batch    319, Loss  0.778864, Average Loss  0.772245, Time  0.263590
2021-09-22 23:08:13.999769 : Epoch  5, Batch    424, Loss  0.781249, Average Loss  0.773344, Time  0.249418
2021-09-22 23:08:14.867947 : Epoch  5, Batch    320, Loss  0.765745, Average Loss  0.772162, Time  0.261690
2021-09-22 23:08:15.312119 : Epoch  3, Batch    639, Loss  0.861953, Average Loss  0.870973, Time  0.440584
2021-09-22 23:08:15.895291 : Epoch  5, Batch    425, Loss  0.761721, Average Loss  0.773339, Time  0.249104
2021-09-22 23:08:16.830124 : Epoch  5, Batch    321, Loss  0.765685, Average Loss  0.772115, Time  0.258297
2021-09-22 23:08:17.807727 : Epoch  5, Batch    426, Loss  0.780807, Average Loss  0.773407, Time  0.252592
2021-09-22 23:08:18.786373 : Epoch  5, Batch    322, Loss  0.771674, Average Loss  0.772060, Time  0.259191
2021-09-22 23:08:19.712571 : Epoch  5, Batch    427, Loss  0.786127, Average Loss  0.773505, Time  0.253085
2021-09-22 23:08:20.283298 : Epoch  3, Batch    640, Loss  0.866251, Average Loss  0.870896, Time  0.413433
2021-09-22 23:08:21.607873 : Epoch  5, Batch    428, Loss  0.775714, Average Loss  0.773457, Time  0.252158
2021-09-22 23:08:23.548906 : Epoch  5, Batch    429, Loss  0.778133, Average Loss  0.773531, Time  0.252745
2021-09-22 23:08:23.860894 : Epoch  5, Batch    323, Loss  0.772034, Average Loss  0.772031, Time  0.264072
2021-09-22 23:08:25.259062 : Epoch  3, Batch    641, Loss  0.864016, Average Loss  0.870888, Time  0.413403
2021-09-22 23:08:25.460738 : Epoch  5, Batch    430, Loss  0.781638, Average Loss  0.773590, Time  0.250787
2021-09-22 23:08:25.912739 : Epoch  5, Batch    324, Loss  0.777866, Average Loss  0.772079, Time  0.258181
2021-09-22 23:08:27.342721 : Epoch  5, Batch    431, Loss  0.769138, Average Loss  0.773641, Time  0.250872
2021-09-22 23:08:27.902575 : Epoch  5, Batch    325, Loss  0.777387, Average Loss  0.772085, Time  0.264295
2021-09-22 23:08:29.250335 : Epoch  5, Batch    432, Loss  0.781444, Average Loss  0.773730, Time  0.256929
2021-09-22 23:08:29.884076 : Epoch  5, Batch    326, Loss  0.765351, Average Loss  0.772064, Time  0.265863
2021-09-22 23:08:30.281788 : Epoch  3, Batch    642, Loss  0.868022, Average Loss  0.870842, Time  0.433280
2021-09-22 23:08:31.157982 : Epoch  5, Batch    433, Loss  0.765343, Average Loss  0.773605, Time  0.251484
2021-09-22 23:08:31.863669 : Epoch  5, Batch    327, Loss  0.771905, Average Loss  0.772071, Time  0.259829
2021-09-22 23:08:33.044273 : Epoch  5, Batch    434, Loss  0.767313, Average Loss  0.773622, Time  0.250081
2021-09-22 23:08:33.843137 : Epoch  5, Batch    328, Loss  0.760736, Average Loss  0.772054, Time  0.261953
2021-09-22 23:08:34.935902 : Epoch  5, Batch    435, Loss  0.778469, Average Loss  0.773696, Time  0.248906
2021-09-22 23:08:35.251804 : Epoch  3, Batch    643, Loss  0.874693, Average Loss  0.870863, Time  0.413114
2021-09-22 23:08:35.814797 : Epoch  5, Batch    329, Loss  0.776116, Average Loss  0.772018, Time  0.256841
2021-09-22 23:08:36.840989 : Epoch  5, Batch    436, Loss  0.774466, Average Loss  0.773700, Time  0.251698
2021-09-22 23:08:37.803064 : Epoch  5, Batch    330, Loss  0.759029, Average Loss  0.771901, Time  0.272096
2021-09-22 23:08:38.732017 : Epoch  5, Batch    437, Loss  0.778400, Average Loss  0.773756, Time  0.251301
2021-09-22 23:08:39.791100 : Epoch  5, Batch    331, Loss  0.771792, Average Loss  0.771901, Time  0.265521
2021-09-22 23:08:40.261918 : Epoch  3, Batch    644, Loss  0.867823, Average Loss  0.870823, Time  0.414993
2021-09-22 23:08:40.628214 : Epoch  5, Batch    438, Loss  0.778250, Average Loss  0.773777, Time  0.249086
2021-09-22 23:08:41.775877 : Epoch  5, Batch    332, Loss  0.775622, Average Loss  0.771890, Time  0.262134
2021-09-22 23:08:42.499476 : Epoch  5, Batch    439, Loss  0.777101, Average Loss  0.773845, Time  0.249934
2021-09-22 23:08:43.791291 : Epoch  5, Batch    333, Loss  0.757319, Average Loss  0.771827, Time  0.255997
2021-09-22 23:08:44.390912 : Epoch  5, Batch    440, Loss  0.770159, Average Loss  0.773796, Time  0.249784
2021-09-22 23:08:45.779292 : Epoch  5, Batch    334, Loss  0.770016, Average Loss  0.771871, Time  0.260071
2021-09-22 23:08:46.300171 : Epoch  5, Batch    441, Loss  0.771706, Average Loss  0.773824, Time  0.249323
2021-09-22 23:08:47.774023 : Epoch  5, Batch    335, Loss  0.780374, Average Loss  0.771915, Time  0.282771
2021-09-22 23:08:48.198874 : Epoch  5, Batch    442, Loss  0.778418, Average Loss  0.773878, Time  0.251276
2021-09-22 23:08:49.740241 : Epoch  5, Batch    336, Loss  0.768371, Average Loss  0.771913, Time  0.257662
2021-09-22 23:08:50.086621 : Epoch  5, Batch    443, Loss  0.771202, Average Loss  0.773870, Time  0.250688
2021-09-22 23:08:51.728329 : Epoch  5, Batch    337, Loss  0.789907, Average Loss  0.772025, Time  0.255680
2021-09-22 23:08:51.991989 : Epoch  5, Batch    444, Loss  0.776553, Average Loss  0.773873, Time  0.258123
2021-09-22 23:08:53.691304 : Epoch  5, Batch    338, Loss  0.775783, Average Loss  0.772038, Time  0.257025
2021-09-22 23:08:53.908322 : Epoch  5, Batch    445, Loss  0.780837, Average Loss  0.773915, Time  0.264515
2021-09-22 23:08:55.778731 : Epoch  5, Batch    339, Loss  0.778978, Average Loss  0.772068, Time  0.381409
2021-09-22 23:08:55.899689 : Epoch  5, Batch    446, Loss  0.763032, Average Loss  0.773747, Time  0.339314
2021-09-22 23:08:57.981681 : Epoch  5, Batch    340, Loss  0.759164, Average Loss  0.772042, Time  0.501762
2021-09-22 23:08:58.015067 : Epoch  5, Batch    447, Loss  0.781025, Average Loss  0.773740, Time  0.461411
2021-09-22 23:09:00.182482 : Epoch  5, Batch    448, Loss  0.765389, Average Loss  0.773716, Time  0.508220
2021-09-22 23:09:00.220770 : Epoch  5, Batch    341, Loss  0.778392, Average Loss  0.772041, Time  0.476820
2021-09-22 23:09:02.328243 : Epoch  5, Batch    449, Loss  0.767137, Average Loss  0.773737, Time  0.491358
2021-09-22 23:09:02.361778 : Epoch  5, Batch    342, Loss  0.770666, Average Loss  0.771988, Time  0.463438
2021-09-22 23:09:04.488815 : Epoch  5, Batch    450, Loss  0.781125, Average Loss  0.773822, Time  0.496707
2021-09-22 23:09:04.533547 : Epoch  5, Batch    343, Loss  0.764752, Average Loss  0.771942, Time  0.471177
2021-09-22 23:09:06.555000 : Epoch  5, Batch    451, Loss  0.782132, Average Loss  0.773934, Time  0.431557
2021-09-22 23:09:06.639109 : Epoch  5, Batch    344, Loss  0.772361, Average Loss  0.771983, Time  0.404379
2021-09-22 23:09:08.593859 : Epoch  5, Batch    452, Loss  0.771883, Average Loss  0.773928, Time  0.395159
2021-09-22 23:09:08.712151 : Epoch  5, Batch    345, Loss  0.769810, Average Loss  0.772023, Time  0.382241
2021-09-22 23:09:10.688975 : Epoch  5, Batch    346, Loss  0.772894, Average Loss  0.771978, Time  0.276673
2021-09-22 23:09:12.650881 : Epoch  5, Batch    347, Loss  0.775477, Average Loss  0.771973, Time  0.269057
2021-09-22 23:09:14.618386 : Epoch  5, Batch    348, Loss  0.776768, Average Loss  0.772008, Time  0.264373
2021-09-22 23:09:16.584577 : Epoch  5, Batch    349, Loss  0.778766, Average Loss  0.772000, Time  0.256673
2021-09-22 23:09:18.556084 : Epoch  5, Batch    350, Loss  0.780072, Average Loss  0.772028, Time  0.261660
2021-09-22 23:09:20.519285 : Epoch  5, Batch    351, Loss  0.773930, Average Loss  0.772004, Time  0.256168
2021-09-22 23:09:22.557283 : Epoch  5, Batch    352, Loss  0.782588, Average Loss  0.772113, Time  0.335440
2021-09-22 23:10:19.356727 : CheckPoint: Validation Loss  0.00032415, Best Loss  0.00030694
2021-09-22 23:10:21.271903 : Epoch  5, Batch    453, Loss  0.761086, Average Loss  0.773853, Time  0.259430
2021-09-22 23:10:23.175119 : Epoch  5, Batch    454, Loss  0.774727, Average Loss  0.773937, Time  0.249213
2021-09-22 23:10:25.090639 : Epoch  5, Batch    455, Loss  0.776095, Average Loss  0.773918, Time  0.261094
2021-09-22 23:10:27.050292 : Epoch  5, Batch    456, Loss  0.767694, Average Loss  0.773870, Time  0.326559
2021-09-22 23:10:28.953243 : Epoch  5, Batch    457, Loss  0.776021, Average Loss  0.773963, Time  0.252497
2021-09-22 23:10:30.852271 : Epoch  5, Batch    458, Loss  0.778231, Average Loss  0.773940, Time  0.250813
2021-09-22 23:10:32.744327 : Epoch  5, Batch    459, Loss  0.775181, Average Loss  0.773955, Time  0.249703
2021-09-22 23:10:34.630264 : Epoch  5, Batch    460, Loss  0.782752, Average Loss  0.774014, Time  0.254707
2021-09-22 23:10:36.055841 : CheckPoint: Validation Loss  0.00031851, Best Loss  0.00030514
2021-09-22 23:10:36.519247 : Epoch  5, Batch    461, Loss  0.767178, Average Loss  0.773980, Time  0.252872
2021-09-22 23:10:37.995068 : Epoch  5, Batch    353, Loss  0.778160, Average Loss  0.772194, Time  0.259480
2021-09-22 23:10:38.399743 : Epoch  5, Batch    462, Loss  0.774596, Average Loss  0.774014, Time  0.253143
2021-09-22 23:10:39.937594 : Epoch  5, Batch    354, Loss  0.758874, Average Loss  0.772169, Time  0.263292
2021-09-22 23:10:40.282025 : Epoch  5, Batch    463, Loss  0.762900, Average Loss  0.773936, Time  0.257897
2021-09-22 23:10:41.871389 : Epoch  5, Batch    355, Loss  0.781111, Average Loss  0.772250, Time  0.258348
2021-09-22 23:10:42.160750 : Epoch  5, Batch    464, Loss  0.762072, Average Loss  0.773881, Time  0.256012
2021-09-22 23:10:43.802402 : Epoch  5, Batch    356, Loss  0.772246, Average Loss  0.772263, Time  0.259711
2021-09-22 23:10:44.077018 : Epoch  5, Batch    465, Loss  0.775509, Average Loss  0.773863, Time  0.249146
2021-09-22 23:10:45.744465 : Epoch  5, Batch    357, Loss  0.759106, Average Loss  0.772163, Time  0.260818
2021-09-22 23:10:45.972054 : Epoch  5, Batch    466, Loss  0.778808, Average Loss  0.773882, Time  0.263554
2021-09-22 23:10:47.759034 : Epoch  5, Batch    358, Loss  0.774292, Average Loss  0.772090, Time  0.330295
2021-09-22 23:10:47.917452 : Epoch  5, Batch    467, Loss  0.781408, Average Loss  0.773912, Time  0.296326
2021-09-22 23:10:49.918569 : Epoch  5, Batch    359, Loss  0.765885, Average Loss  0.772140, Time  0.445470
2021-09-22 23:10:50.011507 : Epoch  5, Batch    468, Loss  0.773694, Average Loss  0.773914, Time  0.429149
2021-09-22 23:10:52.139545 : Epoch  5, Batch    469, Loss  0.772598, Average Loss  0.773956, Time  0.479827
2021-09-22 23:10:52.177664 : Epoch  5, Batch    360, Loss  0.770654, Average Loss  0.772145, Time  0.525071
2021-09-22 23:10:54.228897 : Epoch  5, Batch    470, Loss  0.778188, Average Loss  0.773959, Time  0.445161
2021-09-22 23:10:54.331348 : Epoch  5, Batch    361, Loss  0.766093, Average Loss  0.772193, Time  0.441354
2021-09-22 23:10:56.265316 : Epoch  5, Batch    471, Loss  0.774692, Average Loss  0.773909, Time  0.392158
2021-09-22 23:10:56.393981 : Epoch  5, Batch    362, Loss  0.775174, Average Loss  0.772224, Time  0.373678
2021-09-22 23:10:58.232941 : Epoch  5, Batch    472, Loss  0.781065, Average Loss  0.773988, Time  0.332985
2021-09-22 23:10:58.403524 : Epoch  5, Batch    363, Loss  0.769976, Average Loss  0.772159, Time  0.323170
2021-09-22 23:11:00.133284 : Epoch  5, Batch    473, Loss  0.764684, Average Loss  0.773995, Time  0.251869
2021-09-22 23:11:00.368429 : Epoch  5, Batch    364, Loss  0.769117, Average Loss  0.772141, Time  0.271990
2021-09-22 23:11:02.051868 : Epoch  5, Batch    474, Loss  0.768213, Average Loss  0.774029, Time  0.253651
2021-09-22 23:11:02.324439 : Epoch  5, Batch    365, Loss  0.775301, Average Loss  0.772211, Time  0.264276
2021-09-22 23:11:03.936595 : Epoch  5, Batch    475, Loss  0.767263, Average Loss  0.773961, Time  0.252295
2021-09-22 23:11:04.278947 : Epoch  5, Batch    366, Loss  0.772188, Average Loss  0.772203, Time  0.272512
2021-09-22 23:11:05.818017 : Epoch  5, Batch    476, Loss  0.775805, Average Loss  0.773999, Time  0.248448
2021-09-22 23:11:06.226053 : Epoch  5, Batch    367, Loss  0.772852, Average Loss  0.772218, Time  0.257739
2021-09-22 23:11:07.713419 : Epoch  5, Batch    477, Loss  0.778332, Average Loss  0.773972, Time  0.251523
2021-09-22 23:11:08.161999 : Epoch  5, Batch    368, Loss  0.785330, Average Loss  0.772298, Time  0.262979
2021-09-22 23:11:09.590272 : Epoch  5, Batch    478, Loss  0.768587, Average Loss  0.773945, Time  0.250883
2021-09-22 23:11:10.106203 : Epoch  5, Batch    369, Loss  0.775413, Average Loss  0.772263, Time  0.261555
2021-09-22 23:11:11.483912 : Epoch  5, Batch    479, Loss  0.774190, Average Loss  0.773991, Time  0.249868
2021-09-22 23:11:12.045532 : Epoch  5, Batch    370, Loss  0.765478, Average Loss  0.772222, Time  0.258173
2021-09-22 23:11:13.388668 : Epoch  5, Batch    480, Loss  0.778346, Average Loss  0.773960, Time  0.249889
2021-09-22 23:11:13.975939 : Epoch  5, Batch    371, Loss  0.762526, Average Loss  0.772206, Time  0.255496
2021-09-22 23:11:15.284988 : Epoch  5, Batch    481, Loss  0.778096, Average Loss  0.773913, Time  0.260813
2021-09-22 23:11:15.941759 : Epoch  5, Batch    372, Loss  0.762059, Average Loss  0.772132, Time  0.261325
2021-09-22 23:11:17.181772 : Epoch  5, Batch    482, Loss  0.775615, Average Loss  0.773951, Time  0.250143
2021-09-22 23:11:17.903539 : Epoch  5, Batch    373, Loss  0.772826, Average Loss  0.772132, Time  0.260809
2021-09-22 23:11:19.086974 : Epoch  5, Batch    483, Loss  0.768471, Average Loss  0.773980, Time  0.251311
2021-09-22 23:11:19.895935 : Epoch  5, Batch    374, Loss  0.770488, Average Loss  0.772145, Time  0.271188
2021-09-22 23:11:20.981832 : Epoch  5, Batch    484, Loss  0.772597, Average Loss  0.773976, Time  0.249550
2021-09-22 23:11:21.865856 : Epoch  5, Batch    375, Loss  0.781505, Average Loss  0.772234, Time  0.270562
2021-09-22 23:11:22.865959 : Epoch  5, Batch    485, Loss  0.771269, Average Loss  0.774035, Time  0.251147
2021-09-22 23:11:23.810134 : Epoch  5, Batch    376, Loss  0.774085, Average Loss  0.772271, Time  0.258808
2021-09-22 23:11:24.779805 : Epoch  5, Batch    486, Loss  0.775816, Average Loss  0.773995, Time  0.250834
2021-09-22 23:11:25.748516 : Epoch  5, Batch    377, Loss  0.771145, Average Loss  0.772322, Time  0.254205
2021-09-22 23:11:26.670647 : Epoch  5, Batch    487, Loss  0.772690, Average Loss  0.773976, Time  0.252034
2021-09-22 23:11:27.724460 : Epoch  5, Batch    378, Loss  0.761404, Average Loss  0.772260, Time  0.262157
2021-09-22 23:11:28.570064 : Epoch  5, Batch    488, Loss  0.773071, Average Loss  0.773942, Time  0.253289
2021-09-22 23:11:29.684153 : Epoch  5, Batch    379, Loss  0.770239, Average Loss  0.772261, Time  0.256053
2021-09-22 23:11:30.454406 : Epoch  5, Batch    489, Loss  0.769226, Average Loss  0.773965, Time  0.248086
2021-09-22 23:11:31.641518 : Epoch  5, Batch    380, Loss  0.771470, Average Loss  0.772188, Time  0.260974
2021-09-22 23:11:32.334865 : Epoch  5, Batch    490, Loss  0.777075, Average Loss  0.773994, Time  0.251034
2021-09-22 23:11:33.618620 : Epoch  5, Batch    381, Loss  0.783486, Average Loss  0.772206, Time  0.262809
2021-09-22 23:11:34.203823 : Epoch  5, Batch    491, Loss  0.778395, Average Loss  0.773933, Time  0.248392
2021-09-22 23:11:35.556790 : Epoch  5, Batch    382, Loss  0.765287, Average Loss  0.772144, Time  0.256923
2021-09-22 23:11:36.113318 : Epoch  5, Batch    492, Loss  0.767928, Average Loss  0.773893, Time  0.259796
2021-09-22 23:11:37.528133 : Epoch  5, Batch    383, Loss  0.770958, Average Loss  0.772132, Time  0.272685
2021-09-22 23:11:38.013009 : Epoch  5, Batch    493, Loss  0.771576, Average Loss  0.773902, Time  0.251156
2021-09-22 23:11:39.477942 : Epoch  5, Batch    384, Loss  0.769489, Average Loss  0.772146, Time  0.258432
2021-09-22 23:11:39.911400 : Epoch  5, Batch    494, Loss  0.766745, Average Loss  0.773856, Time  0.252362
2021-09-22 23:11:41.429405 : Epoch  5, Batch    385, Loss  0.765214, Average Loss  0.772069, Time  0.257919
2021-09-22 23:11:41.785307 : Epoch  5, Batch    495, Loss  0.777637, Average Loss  0.773871, Time  0.249556
2021-09-22 23:11:43.363008 : Epoch  5, Batch    386, Loss  0.771134, Average Loss  0.772049, Time  0.256537
2021-09-22 23:11:43.683275 : Epoch  5, Batch    496, Loss  0.778542, Average Loss  0.773956, Time  0.252754
2021-09-22 23:11:45.312800 : Epoch  5, Batch    387, Loss  0.762321, Average Loss  0.772046, Time  0.254409
2021-09-22 23:11:45.598255 : Epoch  5, Batch    497, Loss  0.779651, Average Loss  0.773936, Time  0.249605
2021-09-22 23:11:47.297141 : Epoch  5, Batch    388, Loss  0.760853, Average Loss  0.771999, Time  0.286058
2021-09-22 23:11:47.503338 : Epoch  5, Batch    498, Loss  0.775550, Average Loss  0.773998, Time  0.276123
2021-09-22 23:11:49.407319 : Epoch  5, Batch    389, Loss  0.769523, Average Loss  0.771960, Time  0.408920
2021-09-22 23:11:49.512977 : Epoch  5, Batch    499, Loss  0.769307, Average Loss  0.773892, Time  0.371625
2021-09-22 23:11:51.709213 : Epoch  5, Batch    500, Loss  0.771642, Average Loss  0.773917, Time  0.518744
2021-09-22 23:11:51.709423 : Epoch  5, Batch    390, Loss  0.772828, Average Loss  0.771907, Time  0.518664
2021-09-22 23:11:53.856858 : Epoch  5, Batch    501, Loss  0.763248, Average Loss  0.773920, Time  0.479221
2021-09-22 23:11:53.899465 : Epoch  5, Batch    391, Loss  0.778520, Average Loss  0.771920, Time  0.453240
2021-09-22 23:11:55.965836 : Epoch  5, Batch    502, Loss  0.777611, Average Loss  0.773942, Time  0.473605
2021-09-22 23:11:56.015881 : Epoch  5, Batch    392, Loss  0.771619, Average Loss  0.771916, Time  0.447289
2021-09-22 23:11:58.073318 : Epoch  5, Batch    503, Loss  0.776494, Average Loss  0.773972, Time  0.457905
2021-09-22 23:11:58.150925 : Epoch  5, Batch    393, Loss  0.769159, Average Loss  0.771962, Time  0.444559
2021-09-22 23:12:00.172897 : Epoch  5, Batch    504, Loss  0.776014, Average Loss  0.774047, Time  0.449282
2021-09-22 23:12:00.235145 : Epoch  5, Batch    394, Loss  0.779759, Average Loss  0.772014, Time  0.422471
2021-09-22 23:12:02.273923 : Epoch  5, Batch    505, Loss  0.768660, Average Loss  0.774062, Time  0.440120
2021-09-22 23:12:02.347424 : Epoch  5, Batch    395, Loss  0.779681, Average Loss  0.772050, Time  0.411477
2021-09-22 23:12:04.349376 : Epoch  5, Batch    506, Loss  0.771924, Average Loss  0.774079, Time  0.427563
2021-09-22 23:12:04.447776 : Epoch  5, Batch    396, Loss  0.775185, Average Loss  0.772068, Time  0.413447
2021-09-22 23:12:06.429347 : Epoch  5, Batch    507, Loss  0.780231, Average Loss  0.774175, Time  0.416484
2021-09-22 23:12:06.530457 : Epoch  5, Batch    397, Loss  0.777131, Average Loss  0.772111, Time  0.391601
2021-09-22 23:12:08.444165 : Epoch  5, Batch    508, Loss  0.769712, Average Loss  0.774202, Time  0.373477
2021-09-22 23:12:08.578248 : Epoch  5, Batch    398, Loss  0.769828, Average Loss  0.772059, Time  0.350251
2021-09-22 23:12:10.492832 : Epoch  5, Batch    509, Loss  0.768563, Average Loss  0.774212, Time  0.391892
2021-09-22 23:12:10.609892 : Epoch  5, Batch    399, Loss  0.759514, Average Loss  0.772009, Time  0.360069
2021-09-22 23:12:12.496979 : Epoch  5, Batch    510, Loss  0.767152, Average Loss  0.774186, Time  0.367211
2021-09-22 23:12:12.628859 : Epoch  5, Batch    400, Loss  0.765758, Average Loss  0.772003, Time  0.338213
2021-09-22 23:12:14.477864 : Epoch  5, Batch    511, Loss  0.766647, Average Loss  0.774190, Time  0.327374
2021-09-22 23:12:14.633627 : Epoch  5, Batch    401, Loss  0.775584, Average Loss  0.772005, Time  0.309329
2021-09-22 23:12:16.463268 : Epoch  5, Batch    512, Loss  0.775092, Average Loss  0.774206, Time  0.331733
2021-09-22 23:12:16.626508 : Epoch  5, Batch    402, Loss  0.770478, Average Loss  0.771962, Time  0.308232
2021-09-22 23:12:18.349576 : Epoch  5, Batch    513, Loss  0.780898, Average Loss  0.774292, Time  0.253393
2021-09-22 23:12:18.590405 : Epoch  5, Batch    403, Loss  0.752763, Average Loss  0.771881, Time  0.266653
2021-09-22 23:12:20.255296 : Epoch  5, Batch    514, Loss  0.771764, Average Loss  0.774261, Time  0.251893
2021-09-22 23:12:20.545213 : Epoch  5, Batch    404, Loss  0.761715, Average Loss  0.771829, Time  0.259709
2021-09-22 23:12:22.146728 : Epoch  5, Batch    515, Loss  0.770249, Average Loss  0.774303, Time  0.253783
2021-09-22 23:12:22.496064 : Epoch  5, Batch    405, Loss  0.783669, Average Loss  0.771892, Time  0.267093
2021-09-22 23:12:24.071104 : Epoch  5, Batch    516, Loss  0.775164, Average Loss  0.774337, Time  0.249321
2021-09-22 23:12:24.461842 : Epoch  5, Batch    406, Loss  0.774828, Average Loss  0.771894, Time  0.270879
2021-09-22 23:12:25.961509 : Epoch  5, Batch    517, Loss  0.758388, Average Loss  0.774253, Time  0.249030
2021-09-22 23:12:26.414315 : Epoch  5, Batch    407, Loss  0.782248, Average Loss  0.771896, Time  0.259249
2021-09-22 23:12:27.859622 : Epoch  5, Batch    518, Loss  0.770894, Average Loss  0.774243, Time  0.251086
2021-09-22 23:12:28.359241 : Epoch  5, Batch    408, Loss  0.777102, Average Loss  0.771904, Time  0.255295
2021-09-22 23:12:29.733224 : Epoch  5, Batch    519, Loss  0.776762, Average Loss  0.774280, Time  0.249829
2021-09-22 23:12:30.302350 : Epoch  5, Batch    409, Loss  0.777076, Average Loss  0.771934, Time  0.262619
2021-09-22 23:12:31.634976 : Epoch  5, Batch    520, Loss  0.763321, Average Loss  0.774204, Time  0.250664
2021-09-22 23:12:32.310493 : Epoch  5, Batch    410, Loss  0.762885, Average Loss  0.771838, Time  0.255118
2021-09-22 23:12:33.542575 : Epoch  5, Batch    521, Loss  0.775403, Average Loss  0.774181, Time  0.250620
2021-09-22 23:12:34.272646 : Epoch  5, Batch    411, Loss  0.778296, Average Loss  0.771866, Time  0.265486
2021-09-22 23:12:35.432883 : Epoch  5, Batch    522, Loss  0.773284, Average Loss  0.774139, Time  0.252443
2021-09-22 23:12:36.265182 : Epoch  5, Batch    412, Loss  0.777595, Average Loss  0.771928, Time  0.262509
2021-09-22 23:12:36.715740 : CheckPoint: Validation Loss  0.00014996, Best Loss  0.00014923
2021-09-22 23:12:38.259562 : Epoch  5, Batch    413, Loss  0.760596, Average Loss  0.771808, Time  0.256433
2021-09-22 23:12:39.535825 : Epoch  5, Batch    523, Loss  0.761519, Average Loss  0.774073, Time  0.248650
2021-09-22 23:12:40.230510 : Epoch  5, Batch    414, Loss  0.766973, Average Loss  0.771785, Time  0.269817
2021-09-22 23:12:41.438002 : Epoch  5, Batch    524, Loss  0.763889, Average Loss  0.773983, Time  0.251105
2021-09-22 23:12:41.664847 : Epoch  3, Batch    645, Loss  0.881518, Average Loss  0.870870, Time  0.414743
2021-09-22 23:12:42.185915 : Epoch  5, Batch    415, Loss  0.767847, Average Loss  0.771787, Time  0.273211
2021-09-22 23:12:43.352553 : Epoch  5, Batch    525, Loss  0.775452, Average Loss  0.774017, Time  0.255071
2021-09-22 23:12:44.150836 : Epoch  5, Batch    416, Loss  0.776571, Average Loss  0.771800, Time  0.256074
2021-09-22 23:12:45.262280 : Epoch  5, Batch    526, Loss  0.770789, Average Loss  0.773965, Time  0.254566
2021-09-22 23:12:46.114902 : Epoch  5, Batch    417, Loss  0.767819, Average Loss  0.771739, Time  0.265589
2021-09-22 23:12:46.620982 : Epoch  3, Batch    646, Loss  0.867874, Average Loss  0.870877, Time  0.415424
2021-09-22 23:12:47.144576 : Epoch  5, Batch    527, Loss  0.777495, Average Loss  0.774035, Time  0.248579
2021-09-22 23:12:48.066446 : Epoch  5, Batch    418, Loss  0.778978, Average Loss  0.771794, Time  0.257716
2021-09-22 23:12:49.040544 : Epoch  5, Batch    528, Loss  0.762022, Average Loss  0.773991, Time  0.249139
2021-09-22 23:12:50.024363 : Epoch  5, Batch    419, Loss  0.779734, Average Loss  0.771868, Time  0.257990
2021-09-22 23:12:50.940883 : Epoch  5, Batch    529, Loss  0.770204, Average Loss  0.773991, Time  0.262093
2021-09-22 23:12:51.574110 : Epoch  3, Batch    647, Loss  0.864504, Average Loss  0.870811, Time  0.413761
2021-09-22 23:12:51.997767 : Epoch  5, Batch    420, Loss  0.760987, Average Loss  0.771853, Time  0.259851
2021-09-22 23:12:52.838971 : Epoch  5, Batch    530, Loss  0.763722, Average Loss  0.773964, Time  0.249094
2021-09-22 23:12:53.941240 : Epoch  5, Batch    421, Loss  0.769453, Average Loss  0.771829, Time  0.258461
2021-09-22 23:12:54.743889 : Epoch  5, Batch    531, Loss  0.776159, Average Loss  0.773914, Time  0.254784
2021-09-22 23:12:55.891993 : Epoch  5, Batch    422, Loss  0.773638, Average Loss  0.771838, Time  0.256799
2021-09-22 23:12:56.609014 : Epoch  3, Batch    648, Loss  0.880188, Average Loss  0.870802, Time  0.456505
2021-09-22 23:12:56.662186 : Epoch  5, Batch    532, Loss  0.778198, Average Loss  0.773959, Time  0.254362
2021-09-22 23:12:58.543280 : Epoch  5, Batch    533, Loss  0.757606, Average Loss  0.773917, Time  0.249540
2021-09-22 23:13:00.177295 : Epoch  5, Batch    423, Loss  0.768856, Average Loss  0.771813, Time  0.267210
2021-09-22 23:13:00.437811 : Epoch  5, Batch    534, Loss  0.780267, Average Loss  0.773996, Time  0.248732
2021-09-22 23:13:01.562948 : Epoch  3, Batch    649, Loss  0.847684, Average Loss  0.870732, Time  0.414349
2021-09-22 23:13:02.129023 : Epoch  5, Batch    424, Loss  0.779278, Average Loss  0.771888, Time  0.267486
2021-09-22 23:13:02.359718 : Epoch  5, Batch    535, Loss  0.772412, Average Loss  0.773964, Time  0.261154
2021-09-22 23:13:04.186109 : Epoch  5, Batch    425, Loss  0.771234, Average Loss  0.771890, Time  0.359491
2021-09-22 23:13:04.331233 : Epoch  5, Batch    536, Loss  0.779919, Average Loss  0.774000, Time  0.329759
2021-09-22 23:13:06.333846 : Epoch  5, Batch    426, Loss  0.773267, Average Loss  0.771879, Time  0.474450
2021-09-22 23:13:06.391101 : Epoch  5, Batch    537, Loss  0.769821, Average Loss  0.774028, Time  0.441883
2021-09-22 23:13:06.529869 : Epoch  3, Batch    650, Loss  0.861288, Average Loss  0.870661, Time  0.413678
2021-09-22 23:13:08.549427 : Epoch  5, Batch    538, Loss  0.763255, Average Loss  0.773991, Time  0.518655
2021-09-22 23:13:08.583020 : Epoch  5, Batch    427, Loss  0.768287, Average Loss  0.771874, Time  0.512836
2021-09-22 23:13:10.764621 : Epoch  5, Batch    539, Loss  0.769430, Average Loss  0.774011, Time  0.503806
2021-09-22 23:13:10.798311 : Epoch  5, Batch    428, Loss  0.769237, Average Loss  0.771872, Time  0.488833
2021-09-22 23:13:11.486726 : Epoch  3, Batch    651, Loss  0.859551, Average Loss  0.870567, Time  0.413228
2021-09-22 23:13:12.840243 : Epoch  5, Batch    540, Loss  0.768048, Average Loss  0.773966, Time  0.453156
2021-09-22 23:13:12.899678 : Epoch  5, Batch    429, Loss  0.776844, Average Loss  0.771899, Time  0.419257
2021-09-22 23:13:14.883951 : Epoch  5, Batch    541, Loss  0.768848, Average Loss  0.773914, Time  0.408089
2021-09-22 23:13:14.990478 : Epoch  5, Batch    430, Loss  0.770164, Average Loss  0.771896, Time  0.390340
2021-09-22 23:13:16.433015 : Epoch  3, Batch    652, Loss  0.874133, Average Loss  0.870602, Time  0.415469
2021-09-22 23:13:16.917960 : Epoch  5, Batch    542, Loss  0.771315, Average Loss  0.773866, Time  0.392196
2021-09-22 23:13:17.030237 : Epoch  5, Batch    431, Loss  0.789457, Average Loss  0.772019, Time  0.360376
2021-09-22 23:13:18.842008 : Epoch  5, Batch    543, Loss  0.769973, Average Loss  0.773859, Time  0.306058
2021-09-22 23:13:19.028733 : Epoch  5, Batch    432, Loss  0.782224, Average Loss  0.772088, Time  0.294835
2021-09-22 23:13:20.716907 : Epoch  5, Batch    544, Loss  0.787015, Average Loss  0.774034, Time  0.248714
2021-09-22 23:13:20.975000 : Epoch  5, Batch    433, Loss  0.785451, Average Loss  0.772162, Time  0.258111
2021-09-22 23:13:21.396191 : Epoch  3, Batch    653, Loss  0.860303, Average Loss  0.870560, Time  0.414138
2021-09-22 23:13:22.606171 : Epoch  5, Batch    545, Loss  0.762568, Average Loss  0.774004, Time  0.248108
2021-09-22 23:13:22.925177 : Epoch  5, Batch    434, Loss  0.767602, Average Loss  0.772170, Time  0.262149
2021-09-22 23:13:24.498398 : Epoch  5, Batch    546, Loss  0.773344, Average Loss  0.774007, Time  0.255581
2021-09-22 23:13:24.880286 : Epoch  5, Batch    435, Loss  0.765050, Average Loss  0.772157, Time  0.264033
2021-09-22 23:13:26.348860 : Epoch  3, Batch    654, Loss  0.882713, Average Loss  0.870629, Time  0.413164
2021-09-22 23:13:26.378001 : Epoch  5, Batch    547, Loss  0.776423, Average Loss  0.774056, Time  0.252152
2021-09-22 23:13:26.826486 : Epoch  5, Batch    436, Loss  0.765934, Average Loss  0.772112, Time  0.258559
2021-09-22 23:13:28.268759 : Epoch  5, Batch    548, Loss  0.769758, Average Loss  0.774055, Time  0.248327
2021-09-22 23:13:28.780227 : Epoch  5, Batch    437, Loss  0.770872, Average Loss  0.772088, Time  0.266453
2021-09-22 23:13:30.154131 : Epoch  5, Batch    549, Loss  0.766293, Average Loss  0.774100, Time  0.249530
2021-09-22 23:13:30.728736 : Epoch  5, Batch    438, Loss  0.755862, Average Loss  0.771947, Time  0.258656
2021-09-22 23:13:31.319003 : Epoch  3, Batch    655, Loss  0.871482, Average Loss  0.870702, Time  0.423159
2021-09-22 23:13:32.043867 : Epoch  5, Batch    550, Loss  0.772360, Average Loss  0.774079, Time  0.257776
2021-09-22 23:13:32.679084 : Epoch  5, Batch    439, Loss  0.769488, Average Loss  0.771942, Time  0.258649
2021-09-22 23:13:33.933005 : Epoch  5, Batch    551, Loss  0.767792, Average Loss  0.774031, Time  0.258783
2021-09-22 23:13:34.640096 : Epoch  5, Batch    440, Loss  0.774328, Average Loss  0.771926, Time  0.268878
2021-09-22 23:13:35.815828 : Epoch  5, Batch    552, Loss  0.764366, Average Loss  0.774030, Time  0.252005
2021-09-22 23:13:36.275817 : Epoch  3, Batch    656, Loss  0.874406, Average Loss  0.870761, Time  0.413527
2021-09-22 23:13:36.595167 : Epoch  5, Batch    441, Loss  0.763821, Average Loss  0.771904, Time  0.261091
2021-09-22 23:13:38.560946 : Epoch  5, Batch    442, Loss  0.766667, Average Loss  0.771881, Time  0.262185
2021-09-22 23:13:40.522763 : Epoch  5, Batch    443, Loss  0.761745, Average Loss  0.771769, Time  0.262233
2021-09-22 23:13:41.277836 : Epoch  3, Batch    657, Loss  0.890285, Average Loss  0.870907, Time  0.460205
2021-09-22 23:13:42.479629 : Epoch  5, Batch    444, Loss  0.780881, Average Loss  0.771825, Time  0.265718
2021-09-22 23:13:44.436719 : Epoch  5, Batch    445, Loss  0.767182, Average Loss  0.771814, Time  0.258979
2021-09-22 23:13:46.269793 : Epoch  3, Batch    658, Loss  0.877425, Average Loss  0.870955, Time  0.425064
2021-09-22 23:13:46.435955 : Epoch  5, Batch    446, Loss  0.773144, Average Loss  0.771806, Time  0.310885
2021-09-22 23:13:48.366875 : Epoch  5, Batch    447, Loss  0.776561, Average Loss  0.771804, Time  0.259514
2021-09-22 23:13:50.330364 : Epoch  5, Batch    448, Loss  0.767606, Average Loss  0.771770, Time  0.260303
2021-09-22 23:13:51.230977 : Epoch  3, Batch    659, Loss  0.866450, Average Loss  0.870931, Time  0.413919
2021-09-22 23:13:52.278614 : Epoch  5, Batch    449, Loss  0.779173, Average Loss  0.771854, Time  0.259706
2021-09-22 23:13:54.222801 : Epoch  5, Batch    450, Loss  0.766564, Average Loss  0.771851, Time  0.256722
2021-09-22 23:13:56.206944 : Epoch  3, Batch    660, Loss  0.870596, Average Loss  0.870919, Time  0.415996
2021-09-22 23:13:56.254488 : Epoch  5, Batch    451, Loss  0.763004, Average Loss  0.771801, Time  0.329866
2021-09-22 23:13:58.191036 : Epoch  5, Batch    452, Loss  0.776179, Average Loss  0.771799, Time  0.258991
2021-09-22 23:14:01.254169 : Epoch  3, Batch    661, Loss  0.875860, Average Loss  0.871002, Time  0.414022
2021-09-22 23:14:06.219744 : Epoch  3, Batch    662, Loss  0.868335, Average Loss  0.870988, Time  0.414644
2021-09-22 23:14:11.197206 : Epoch  3, Batch    663, Loss  0.873072, Average Loss  0.870988, Time  0.413906
2021-09-22 23:14:16.149089 : Epoch  3, Batch    664, Loss  0.876240, Average Loss  0.870973, Time  0.412961
2021-09-22 23:14:21.097045 : Epoch  3, Batch    665, Loss  0.871407, Average Loss  0.870981, Time  0.412733
2021-09-22 23:14:26.115873 : Epoch  3, Batch    666, Loss  0.876552, Average Loss  0.870953, Time  0.461975
2021-09-22 23:14:31.066003 : Epoch  3, Batch    667, Loss  0.870223, Average Loss  0.870895, Time  0.413246
2021-09-22 23:14:36.023265 : Epoch  3, Batch    668, Loss  0.873633, Average Loss  0.870856, Time  0.414155
2021-09-22 23:14:40.990797 : Epoch  3, Batch    669, Loss  0.892508, Average Loss  0.870900, Time  0.413393
2021-09-22 23:14:45.945961 : Epoch  3, Batch    670, Loss  0.860621, Average Loss  0.870965, Time  0.413112
2021-09-22 23:14:46.233728 : CheckPoint: Validation Loss  0.00031939, Best Loss  0.00030694
2021-09-22 23:14:48.099927 : Epoch  5, Batch    553, Loss  0.769273, Average Loss  0.774037, Time  0.248786
2021-09-22 23:14:49.991952 : Epoch  5, Batch    554, Loss  0.766685, Average Loss  0.773957, Time  0.247848
2021-09-22 23:14:50.919741 : Epoch  3, Batch    671, Loss  0.869360, Average Loss  0.870986, Time  0.413535
2021-09-22 23:14:52.018965 : Epoch  5, Batch    555, Loss  0.760293, Average Loss  0.773915, Time  0.341062
2021-09-22 23:14:53.923343 : Epoch  5, Batch    556, Loss  0.769317, Average Loss  0.773903, Time  0.253726
2021-09-22 23:14:55.806967 : Epoch  5, Batch    557, Loss  0.769558, Average Loss  0.773930, Time  0.251803
2021-09-22 23:14:55.877958 : Epoch  3, Batch    672, Loss  0.870533, Average Loss  0.871031, Time  0.414345
2021-09-22 23:14:57.671678 : Epoch  5, Batch    558, Loss  0.773267, Average Loss  0.774025, Time  0.252337
2021-09-22 23:14:59.577926 : Epoch  5, Batch    559, Loss  0.768295, Average Loss  0.774024, Time  0.249824
2021-09-22 23:15:00.856819 : Epoch  3, Batch    673, Loss  0.873752, Average Loss  0.871111, Time  0.414333
2021-09-22 23:15:01.474652 : Epoch  5, Batch    560, Loss  0.774817, Average Loss  0.774051, Time  0.249323
2021-09-22 23:15:03.363725 : Epoch  5, Batch    561, Loss  0.766929, Average Loss  0.774098, Time  0.253487
2021-09-22 23:15:05.247249 : Epoch  5, Batch    562, Loss  0.785967, Average Loss  0.774106, Time  0.250208
2021-09-22 23:15:05.817866 : Epoch  3, Batch    674, Loss  0.871855, Average Loss  0.871128, Time  0.413790
2021-09-22 23:15:07.151284 : Epoch  5, Batch    563, Loss  0.767791, Average Loss  0.774134, Time  0.250963
2021-09-22 23:15:09.102240 : Epoch  5, Batch    564, Loss  0.770746, Average Loss  0.774114, Time  0.291421
2021-09-22 23:15:10.784970 : Epoch  3, Batch    675, Loss  0.874466, Average Loss  0.871127, Time  0.413637
2021-09-22 23:15:11.072909 : Epoch  5, Batch    565, Loss  0.756093, Average Loss  0.774001, Time  0.301923
2021-09-22 23:15:11.486795 : CheckPoint: Validation Loss  0.00032620, Best Loss  0.00030514
2021-09-22 23:15:12.958860 : Epoch  5, Batch    566, Loss  0.774373, Average Loss  0.773984, Time  0.251339
2021-09-22 23:15:13.432511 : Epoch  5, Batch    453, Loss  0.768529, Average Loss  0.771760, Time  0.262934
2021-09-22 23:15:14.840203 : Epoch  5, Batch    567, Loss  0.762408, Average Loss  0.773917, Time  0.248193
2021-09-22 23:15:15.373805 : Epoch  5, Batch    454, Loss  0.771742, Average Loss  0.771781, Time  0.260405
2021-09-22 23:15:15.797878 : Epoch  3, Batch    676, Loss  0.868737, Average Loss  0.871025, Time  0.431466
2021-09-22 23:15:16.739825 : Epoch  5, Batch    568, Loss  0.769042, Average Loss  0.773881, Time  0.255353
2021-09-22 23:15:17.333500 : Epoch  5, Batch    455, Loss  0.762139, Average Loss  0.771706, Time  0.266127
2021-09-22 23:15:18.617992 : Epoch  5, Batch    569, Loss  0.769241, Average Loss  0.773871, Time  0.253226
2021-09-22 23:15:19.302647 : Epoch  5, Batch    456, Loss  0.760474, Average Loss  0.771660, Time  0.270456
2021-09-22 23:15:20.513642 : Epoch  5, Batch    570, Loss  0.765691, Average Loss  0.773845, Time  0.254008
2021-09-22 23:15:20.765855 : Epoch  3, Batch    677, Loss  0.868561, Average Loss  0.870982, Time  0.413140
2021-09-22 23:15:21.258509 : Epoch  5, Batch    457, Loss  0.771369, Average Loss  0.771630, Time  0.256591
2021-09-22 23:15:22.398282 : Epoch  5, Batch    571, Loss  0.770735, Average Loss  0.773859, Time  0.253244
2021-09-22 23:15:23.203435 : Epoch  5, Batch    458, Loss  0.764947, Average Loss  0.771602, Time  0.269311
2021-09-22 23:15:24.289129 : Epoch  5, Batch    572, Loss  0.772500, Average Loss  0.773859, Time  0.250801
2021-09-22 23:15:25.154232 : Epoch  5, Batch    459, Loss  0.768613, Average Loss  0.771612, Time  0.257445
2021-09-22 23:15:25.715745 : Epoch  3, Batch    678, Loss  0.878432, Average Loss  0.871131, Time  0.413280
2021-09-22 23:15:26.181316 : Epoch  5, Batch    573, Loss  0.787234, Average Loss  0.773955, Time  0.253776
2021-09-22 23:15:27.138891 : Epoch  5, Batch    460, Loss  0.763068, Average Loss  0.771559, Time  0.262405
2021-09-22 23:15:28.057908 : Epoch  5, Batch    574, Loss  0.769845, Average Loss  0.773906, Time  0.252359
2021-09-22 23:15:29.104361 : Epoch  5, Batch    461, Loss  0.772400, Average Loss  0.771564, Time  0.262495
2021-09-22 23:15:29.942942 : Epoch  5, Batch    575, Loss  0.777739, Average Loss  0.773993, Time  0.248410
2021-09-22 23:15:30.686763 : Epoch  3, Batch    679, Loss  0.860954, Average Loss  0.871109, Time  0.413175
2021-09-22 23:15:31.105529 : Epoch  5, Batch    462, Loss  0.770342, Average Loss  0.771561, Time  0.274270
2021-09-22 23:15:31.832992 : Epoch  5, Batch    576, Loss  0.764747, Average Loss  0.773942, Time  0.253912
2021-09-22 23:15:33.050011 : Epoch  5, Batch    463, Loss  0.772553, Average Loss  0.771571, Time  0.260387
2021-09-22 23:15:33.720785 : Epoch  5, Batch    577, Loss  0.760585, Average Loss  0.773835, Time  0.251053
2021-09-22 23:15:35.032993 : Epoch  5, Batch    464, Loss  0.774635, Average Loss  0.771544, Time  0.257382
2021-09-22 23:15:35.602446 : Epoch  5, Batch    578, Loss  0.764920, Average Loss  0.773824, Time  0.251337
2021-09-22 23:15:35.630100 : Epoch  3, Batch    680, Loss  0.871730, Average Loss  0.871062, Time  0.412854
2021-09-22 23:15:36.991842 : Epoch  5, Batch    465, Loss  0.766072, Average Loss  0.771488, Time  0.272400
2021-09-22 23:15:37.463776 : Epoch  5, Batch    579, Loss  0.766342, Average Loss  0.773737, Time  0.249966
2021-09-22 23:15:39.004496 : Epoch  5, Batch    466, Loss  0.768703, Average Loss  0.771465, Time  0.263113
2021-09-22 23:15:39.325933 : Epoch  5, Batch    580, Loss  0.772215, Average Loss  0.773713, Time  0.251488
2021-09-22 23:15:40.572927 : Epoch  3, Batch    681, Loss  0.866219, Average Loss  0.871013, Time  0.413983
2021-09-22 23:15:41.165607 : Epoch  5, Batch    467, Loss  0.773258, Average Loss  0.771414, Time  0.394332
2021-09-22 23:15:41.277721 : Epoch  5, Batch    581, Loss  0.775902, Average Loss  0.773763, Time  0.334395
2021-09-22 23:15:43.397024 : Epoch  5, Batch    468, Loss  0.769743, Average Loss  0.771479, Time  0.521785
2021-09-22 23:15:43.430629 : Epoch  5, Batch    582, Loss  0.773432, Average Loss  0.773817, Time  0.503314
2021-09-22 23:15:45.537984 : Epoch  3, Batch    682, Loss  0.881291, Average Loss  0.871058, Time  0.413625
2021-09-22 23:15:45.604077 : Epoch  5, Batch    583, Loss  0.770604, Average Loss  0.773846, Time  0.518930
2021-09-22 23:15:45.620261 : Epoch  5, Batch    469, Loss  0.786378, Average Loss  0.771456, Time  0.525864
2021-09-22 23:15:47.720441 : Epoch  5, Batch    584, Loss  0.769439, Average Loss  0.773877, Time  0.480245
2021-09-22 23:15:47.763448 : Epoch  5, Batch    470, Loss  0.767344, Average Loss  0.771384, Time  0.459883
2021-09-22 23:15:49.807808 : Epoch  5, Batch    585, Loss  0.774044, Average Loss  0.773851, Time  0.459508
2021-09-22 23:15:49.874479 : Epoch  5, Batch    471, Loss  0.772077, Average Loss  0.771388, Time  0.434349
2021-09-22 23:15:50.489058 : Epoch  3, Batch    683, Loss  0.868070, Average Loss  0.871021, Time  0.413170
2021-09-22 23:15:51.872596 : Epoch  5, Batch    586, Loss  0.774315, Average Loss  0.773818, Time  0.430624
2021-09-22 23:15:51.966012 : Epoch  5, Batch    472, Loss  0.771333, Average Loss  0.771402, Time  0.393075
2021-09-22 23:15:53.956072 : Epoch  5, Batch    587, Loss  0.765966, Average Loss  0.773837, Time  0.427984
2021-09-22 23:15:54.041601 : Epoch  5, Batch    473, Loss  0.777449, Average Loss  0.771387, Time  0.400805
2021-09-22 23:15:55.458092 : Epoch  3, Batch    684, Loss  0.872942, Average Loss  0.871054, Time  0.414434
2021-09-22 23:15:56.058154 : Epoch  5, Batch    588, Loss  0.762784, Average Loss  0.773851, Time  0.435828
2021-09-22 23:15:56.138014 : Epoch  5, Batch    474, Loss  0.777741, Average Loss  0.771411, Time  0.408719
2021-09-22 23:15:58.057265 : Epoch  5, Batch    589, Loss  0.774210, Average Loss  0.773807, Time  0.369369
2021-09-22 23:15:58.193183 : Epoch  5, Batch    475, Loss  0.768237, Average Loss  0.771359, Time  0.350510
2021-09-22 23:16:00.054146 : Epoch  5, Batch    590, Loss  0.767113, Average Loss  0.773796, Time  0.349688
2021-09-22 23:16:00.205264 : Epoch  5, Batch    476, Loss  0.779672, Average Loss  0.771421, Time  0.331173
2021-09-22 23:16:00.454019 : Epoch  3, Batch    685, Loss  0.872228, Average Loss  0.871020, Time  0.449158
2021-09-22 23:16:02.035832 : Epoch  5, Batch    591, Loss  0.775823, Average Loss  0.773804, Time  0.337433
2021-09-22 23:16:02.189829 : Epoch  5, Batch    477, Loss  0.770300, Average Loss  0.771399, Time  0.315613
2021-09-22 23:16:03.953871 : Epoch  5, Batch    592, Loss  0.776568, Average Loss  0.773887, Time  0.278976
2021-09-22 23:16:04.153012 : Epoch  5, Batch    478, Loss  0.782344, Average Loss  0.771432, Time  0.278731
2021-09-22 23:16:05.424082 : Epoch  3, Batch    686, Loss  0.874326, Average Loss  0.871036, Time  0.414142
2021-09-22 23:16:05.852263 : Epoch  5, Batch    593, Loss  0.781735, Average Loss  0.773920, Time  0.257658
2021-09-22 23:16:06.096617 : Epoch  5, Batch    479, Loss  0.770234, Average Loss  0.771426, Time  0.266182
2021-09-22 23:16:07.721903 : Epoch  5, Batch    594, Loss  0.758711, Average Loss  0.773816, Time  0.249989
2021-09-22 23:16:08.046012 : Epoch  5, Batch    480, Loss  0.780945, Average Loss  0.771458, Time  0.258380
2021-09-22 23:16:09.616299 : Epoch  5, Batch    595, Loss  0.781593, Average Loss  0.773918, Time  0.251183
2021-09-22 23:16:10.014379 : Epoch  5, Batch    481, Loss  0.780577, Average Loss  0.771505, Time  0.258651
2021-09-22 23:16:10.386773 : Epoch  3, Batch    687, Loss  0.880819, Average Loss  0.871074, Time  0.413682
2021-09-22 23:16:11.529126 : Epoch  5, Batch    596, Loss  0.770922, Average Loss  0.773893, Time  0.249984
2021-09-22 23:16:11.990874 : Epoch  5, Batch    482, Loss  0.765830, Average Loss  0.771473, Time  0.285481
2021-09-22 23:16:13.412276 : Epoch  5, Batch    597, Loss  0.769079, Average Loss  0.773876, Time  0.254031
2021-09-22 23:16:13.931997 : Epoch  5, Batch    483, Loss  0.774379, Average Loss  0.771454, Time  0.263542
2021-09-22 23:16:15.302528 : Epoch  5, Batch    598, Loss  0.764769, Average Loss  0.773825, Time  0.248575
2021-09-22 23:16:15.344983 : Epoch  3, Batch    688, Loss  0.872631, Average Loss  0.871028, Time  0.414356
2021-09-22 23:16:15.898185 : Epoch  5, Batch    484, Loss  0.761296, Average Loss  0.771399, Time  0.257518
2021-09-22 23:16:17.203257 : Epoch  5, Batch    599, Loss  0.771425, Average Loss  0.773800, Time  0.251621
2021-09-22 23:16:17.856634 : Epoch  5, Batch    485, Loss  0.769009, Average Loss  0.771446, Time  0.261559
2021-09-22 23:16:19.076063 : Epoch  5, Batch    600, Loss  0.763397, Average Loss  0.773708, Time  0.249104
2021-09-22 23:16:19.800180 : Epoch  5, Batch    486, Loss  0.778141, Average Loss  0.771524, Time  0.274195
2021-09-22 23:16:20.296732 : Epoch  3, Batch    689, Loss  0.861275, Average Loss  0.870919, Time  0.413843
2021-09-22 23:16:20.960827 : Epoch  5, Batch    601, Loss  0.773592, Average Loss  0.773691, Time  0.247682
2021-09-22 23:16:21.753282 : Epoch  5, Batch    487, Loss  0.784977, Average Loss  0.771537, Time  0.254889
2021-09-22 23:16:22.837944 : Epoch  5, Batch    602, Loss  0.767188, Average Loss  0.773674, Time  0.250453
2021-09-22 23:16:23.708563 : Epoch  5, Batch    488, Loss  0.786280, Average Loss  0.771628, Time  0.256333
2021-09-22 23:16:24.739568 : Epoch  5, Batch    603, Loss  0.765559, Average Loss  0.773651, Time  0.260293
2021-09-22 23:16:25.259873 : Epoch  3, Batch    690, Loss  0.878540, Average Loss  0.870958, Time  0.413544
2021-09-22 23:16:25.680197 : Epoch  5, Batch    489, Loss  0.771437, Average Loss  0.771618, Time  0.261761
2021-09-22 23:16:26.615707 : Epoch  5, Batch    604, Loss  0.771917, Average Loss  0.773612, Time  0.250430
2021-09-22 23:16:27.615621 : Epoch  5, Batch    490, Loss  0.771762, Average Loss  0.771597, Time  0.258536
2021-09-22 23:16:28.510081 : Epoch  5, Batch    605, Loss  0.779537, Average Loss  0.772991, Time  0.250946
2021-09-22 23:16:29.560909 : Epoch  5, Batch    491, Loss  0.778091, Average Loss  0.771685, Time  0.257340
2021-09-22 23:16:30.203011 : Epoch  3, Batch    691, Loss  0.861386, Average Loss  0.870916, Time  0.413319
2021-09-22 23:16:30.404877 : Epoch  5, Batch    606, Loss  0.769756, Average Loss  0.773008, Time  0.249326
2021-09-22 23:16:31.514902 : Epoch  5, Batch    492, Loss  0.766951, Average Loss  0.771714, Time  0.266028
2021-09-22 23:16:32.279984 : Epoch  5, Batch    607, Loss  0.772400, Average Loss  0.773037, Time  0.249903
2021-09-22 23:16:33.472303 : Epoch  5, Batch    493, Loss  0.765816, Average Loss  0.771686, Time  0.260793
2021-09-22 23:16:34.158470 : Epoch  5, Batch    608, Loss  0.778114, Average Loss  0.772980, Time  0.250187
2021-09-22 23:16:35.166977 : Epoch  3, Batch    692, Loss  0.869044, Average Loss  0.870924, Time  0.413066
2021-09-22 23:16:35.450645 : Epoch  5, Batch    494, Loss  0.763910, Average Loss  0.771632, Time  0.266423
2021-09-22 23:16:36.063350 : Epoch  5, Batch    609, Loss  0.768879, Average Loss  0.772886, Time  0.260936
2021-09-22 23:16:37.412456 : Epoch  5, Batch    495, Loss  0.776484, Average Loss  0.771677, Time  0.260794
2021-09-22 23:16:37.943557 : Epoch  5, Batch    610, Loss  0.776623, Average Loss  0.772884, Time  0.248077
2021-09-22 23:16:39.393996 : Epoch  5, Batch    496, Loss  0.775753, Average Loss  0.771720, Time  0.269600
2021-09-22 23:16:39.826384 : Epoch  5, Batch    611, Loss  0.765281, Average Loss  0.772762, Time  0.249294
2021-09-22 23:16:40.173774 : Epoch  3, Batch    693, Loss  0.878856, Average Loss  0.870829, Time  0.413480
2021-09-22 23:16:41.355402 : Epoch  5, Batch    497, Loss  0.777453, Average Loss  0.771728, Time  0.266472
2021-09-22 23:16:41.735476 : Epoch  5, Batch    612, Loss  0.776977, Average Loss  0.772727, Time  0.252300
2021-09-22 23:16:43.329346 : Epoch  5, Batch    498, Loss  0.770638, Average Loss  0.771665, Time  0.265288
2021-09-22 23:16:43.628179 : Epoch  5, Batch    613, Loss  0.783827, Average Loss  0.772709, Time  0.256177
2021-09-22 23:16:45.178731 : Epoch  3, Batch    694, Loss  0.876930, Average Loss  0.870841, Time  0.457061
2021-09-22 23:16:45.366227 : Epoch  5, Batch    499, Loss  0.754556, Average Loss  0.771589, Time  0.295934
2021-09-22 23:16:45.557171 : Epoch  5, Batch    614, Loss  0.777319, Average Loss  0.772679, Time  0.276372
2021-09-22 23:16:47.487851 : Epoch  5, Batch    500, Loss  0.770928, Average Loss  0.771627, Time  0.430781
2021-09-22 23:16:47.583403 : Epoch  5, Batch    615, Loss  0.784573, Average Loss  0.772652, Time  0.406612
2021-09-22 23:16:49.740301 : Epoch  5, Batch    501, Loss  0.770568, Average Loss  0.771635, Time  0.523926
2021-09-22 23:16:49.780009 : Epoch  5, Batch    616, Loss  0.774554, Average Loss  0.772608, Time  0.526980
2021-09-22 23:16:50.139798 : Epoch  3, Batch    695, Loss  0.879231, Average Loss  0.870941, Time  0.413415
2021-09-22 23:16:51.931001 : Epoch  5, Batch    617, Loss  0.757633, Average Loss  0.772460, Time  0.514292
2021-09-22 23:16:51.966403 : Epoch  5, Batch    502, Loss  0.760073, Average Loss  0.771536, Time  0.509160
2021-09-22 23:16:54.052646 : Epoch  5, Batch    618, Loss  0.769748, Average Loss  0.772411, Time  0.477138
2021-09-22 23:16:54.105909 : Epoch  5, Batch    503, Loss  0.780412, Average Loss  0.771562, Time  0.446655
2021-09-22 23:16:55.084753 : Epoch  3, Batch    696, Loss  0.875328, Average Loss  0.870941, Time  0.412807
2021-09-22 23:16:56.126157 : Epoch  5, Batch    619, Loss  0.778452, Average Loss  0.772374, Time  0.421624
2021-09-22 23:16:56.224213 : Epoch  5, Batch    504, Loss  0.778842, Average Loss  0.771653, Time  0.398589
2021-09-22 23:16:58.189594 : Epoch  5, Batch    620, Loss  0.765747, Average Loss  0.772253, Time  0.407732
2021-09-22 23:16:58.295162 : Epoch  5, Batch    505, Loss  0.780756, Average Loss  0.771636, Time  0.390003
2021-09-22 23:17:00.106719 : Epoch  3, Batch    697, Loss  0.876421, Average Loss  0.870880, Time  0.413870
2021-09-22 23:17:00.203521 : Epoch  5, Batch    621, Loss  0.774669, Average Loss  0.772209, Time  0.378997
2021-09-22 23:17:00.324552 : Epoch  5, Batch    506, Loss  0.772161, Average Loss  0.771624, Time  0.348702
2021-09-22 23:17:02.186368 : Epoch  5, Batch    622, Loss  0.782453, Average Loss  0.772204, Time  0.335619
2021-09-22 23:17:02.349047 : Epoch  5, Batch    507, Loss  0.767309, Average Loss  0.771640, Time  0.331958
2021-09-22 23:17:04.299790 : Epoch  5, Batch    508, Loss  0.774597, Average Loss  0.771631, Time  0.258640
2021-09-22 23:17:05.079810 : Epoch  3, Batch    698, Loss  0.884470, Average Loss  0.870953, Time  0.413126
2021-09-22 23:17:05.984306 : Epoch  5, Batch    623, Loss  0.763588, Average Loss  0.772157, Time  0.249341
2021-09-22 23:17:06.236211 : Epoch  5, Batch    509, Loss  0.765156, Average Loss  0.771618, Time  0.254875
2021-09-22 23:17:07.882731 : Epoch  5, Batch    624, Loss  0.784313, Average Loss  0.772172, Time  0.259710
2021-09-22 23:17:08.247005 : Epoch  5, Batch    510, Loss  0.762493, Average Loss  0.771494, Time  0.268246
2021-09-22 23:17:09.783305 : Epoch  5, Batch    625, Loss  0.782987, Average Loss  0.772278, Time  0.249429
2021-09-22 23:17:10.048808 : Epoch  3, Batch    699, Loss  0.874372, Average Loss  0.870976, Time  0.414145
2021-09-22 23:17:10.192445 : Epoch  5, Batch    511, Loss  0.780993, Average Loss  0.771537, Time  0.262011
2021-09-22 23:17:11.699754 : Epoch  5, Batch    626, Loss  0.776822, Average Loss  0.772258, Time  0.257353
2021-09-22 23:17:12.135266 : Epoch  5, Batch    512, Loss  0.764027, Average Loss  0.771595, Time  0.258943
2021-09-22 23:17:13.614045 : Epoch  5, Batch    627, Loss  0.772870, Average Loss  0.772192, Time  0.277341
2021-09-22 23:17:14.099005 : Epoch  5, Batch    513, Loss  0.776138, Average Loss  0.771625, Time  0.261025
2021-09-22 23:17:14.993127 : Epoch  3, Batch    700, Loss  0.870867, Average Loss  0.870953, Time  0.413324
2021-09-22 23:17:15.519073 : Epoch  5, Batch    628, Loss  0.757379, Average Loss  0.772100, Time  0.249351
2021-09-22 23:17:16.046250 : Epoch  5, Batch    514, Loss  0.759119, Average Loss  0.771564, Time  0.258144
2021-09-22 23:17:17.455614 : Epoch  5, Batch    629, Loss  0.767131, Average Loss  0.772045, Time  0.254321
2021-09-22 23:17:18.029350 : Epoch  5, Batch    515, Loss  0.766725, Average Loss  0.771556, Time  0.269997
2021-09-22 23:17:19.340353 : Epoch  5, Batch    630, Loss  0.771353, Average Loss  0.771994, Time  0.251220
2021-09-22 23:17:19.951775 : Epoch  3, Batch    701, Loss  0.879946, Average Loss  0.870991, Time  0.413260
2021-09-22 23:17:19.982069 : Epoch  5, Batch    516, Loss  0.778191, Average Loss  0.771601, Time  0.261999
2021-09-22 23:17:21.219826 : Epoch  5, Batch    631, Loss  0.770855, Average Loss  0.772003, Time  0.249724
2021-09-22 23:17:21.934663 : Epoch  5, Batch    517, Loss  0.772873, Average Loss  0.771627, Time  0.259245
2021-09-22 23:17:23.087380 : Epoch  5, Batch    632, Loss  0.764281, Average Loss  0.771917, Time  0.249800
2021-09-22 23:17:23.895993 : Epoch  5, Batch    518, Loss  0.766981, Average Loss  0.771578, Time  0.269980
2021-09-22 23:17:24.907749 : Epoch  3, Batch    702, Loss  0.875006, Average Loss  0.870939, Time  0.413609
2021-09-22 23:17:24.973882 : Epoch  5, Batch    633, Loss  0.778213, Average Loss  0.771981, Time  0.255075
2021-09-22 23:17:25.845928 : Epoch  5, Batch    519, Loss  0.755208, Average Loss  0.771460, Time  0.258417
2021-09-22 23:17:26.864474 : Epoch  5, Batch    634, Loss  0.778624, Average Loss  0.772038, Time  0.251651
2021-09-22 23:17:27.799073 : Epoch  5, Batch    520, Loss  0.780568, Average Loss  0.771534, Time  0.263290
2021-09-22 23:17:28.790796 : Epoch  5, Batch    635, Loss  0.763772, Average Loss  0.771964, Time  0.268023
2021-09-22 23:17:29.756003 : Epoch  5, Batch    521, Loss  0.783729, Average Loss  0.771624, Time  0.259873
2021-09-22 23:17:29.897724 : Epoch  3, Batch    703, Loss  0.867321, Average Loss  0.870936, Time  0.413480
2021-09-22 23:17:30.678939 : Epoch  5, Batch    636, Loss  0.774256, Average Loss  0.771963, Time  0.249992
2021-09-22 23:17:31.719391 : Epoch  5, Batch    522, Loss  0.779249, Average Loss  0.771662, Time  0.263300
2021-09-22 23:17:32.565987 : Epoch  5, Batch    637, Loss  0.759575, Average Loss  0.771869, Time  0.259518
2021-09-22 23:17:34.446257 : Epoch  5, Batch    638, Loss  0.765538, Average Loss  0.771805, Time  0.253358
2021-09-22 23:17:34.905802 : Epoch  3, Batch    704, Loss  0.862301, Average Loss  0.870939, Time  0.464710
2021-09-22 23:17:36.041895 : Epoch  5, Batch    523, Loss  0.781418, Average Loss  0.771709, Time  0.261265
2021-09-22 23:17:36.351475 : Epoch  5, Batch    639, Loss  0.747289, Average Loss  0.771656, Time  0.249019
2021-09-22 23:17:38.024245 : Epoch  5, Batch    524, Loss  0.758265, Average Loss  0.771611, Time  0.263596
2021-09-22 23:17:38.244915 : Epoch  5, Batch    640, Loss  0.763603, Average Loss  0.771624, Time  0.266499
2021-09-22 23:17:39.867014 : Epoch  3, Batch    705, Loss  0.869958, Average Loss  0.870909, Time  0.419815
2021-09-22 23:17:40.095200 : Epoch  5, Batch    525, Loss  0.764114, Average Loss  0.771544, Time  0.379998
2021-09-22 23:17:40.218354 : Epoch  5, Batch    641, Loss  0.769755, Average Loss  0.771614, Time  0.341287
2021-09-22 23:17:42.316542 : Epoch  5, Batch    526, Loss  0.760328, Average Loss  0.771519, Time  0.513026
2021-09-22 23:17:42.352087 : Epoch  5, Batch    642, Loss  0.771498, Average Loss  0.771579, Time  0.465158
2021-09-22 23:17:44.511017 : Epoch  5, Batch    643, Loss  0.768933, Average Loss  0.771568, Time  0.501483
2021-09-22 23:17:44.548602 : Epoch  5, Batch    527, Loss  0.768803, Average Loss  0.771504, Time  0.474344
2021-09-22 23:17:44.822178 : Epoch  3, Batch    706, Loss  0.874682, Average Loss  0.870905, Time  0.413355
2021-09-22 23:17:46.580594 : Epoch  5, Batch    644, Loss  0.774655, Average Loss  0.771558, Time  0.440883
2021-09-22 23:17:46.662174 : Epoch  5, Batch    528, Loss  0.791033, Average Loss  0.771655, Time  0.414935
2021-09-22 23:17:48.611183 : Epoch  5, Batch    645, Loss  0.762113, Average Loss  0.771465, Time  0.401543
2021-09-22 23:17:48.737076 : Epoch  5, Batch    529, Loss  0.761247, Average Loss  0.771581, Time  0.397512
2021-09-22 23:17:49.772071 : Epoch  3, Batch    707, Loss  0.882645, Average Loss  0.870969, Time  0.415683
2021-09-22 23:17:50.629160 : Epoch  5, Batch    646, Loss  0.769212, Average Loss  0.771496, Time  0.367560
2021-09-22 23:17:50.754373 : Epoch  5, Batch    530, Loss  0.762563, Average Loss  0.771598, Time  0.341297
2021-09-22 23:17:52.510000 : Epoch  5, Batch    647, Loss  0.767377, Average Loss  0.771427, Time  0.250177
2021-09-22 23:17:52.754980 : Epoch  5, Batch    531, Loss  0.765584, Average Loss  0.771567, Time  0.264502
2021-09-22 23:17:54.404818 : Epoch  5, Batch    648, Loss  0.772662, Average Loss  0.771464, Time  0.248728
2021-09-22 23:17:54.703483 : Epoch  5, Batch    532, Loss  0.777120, Average Loss  0.771575, Time  0.261106
2021-09-22 23:17:54.727335 : Epoch  3, Batch    708, Loss  0.868045, Average Loss  0.871084, Time  0.413088
2021-09-22 23:17:56.298899 : Epoch  5, Batch    649, Loss  0.772570, Average Loss  0.771491, Time  0.250895
2021-09-22 23:17:56.638647 : Epoch  5, Batch    533, Loss  0.761965, Average Loss  0.771598, Time  0.256238
2021-09-22 23:17:58.181160 : Epoch  5, Batch    650, Loss  0.766525, Average Loss  0.771418, Time  0.252335
2021-09-22 23:17:58.593097 : Epoch  5, Batch    534, Loss  0.775712, Average Loss  0.771627, Time  0.256376
2021-09-22 23:17:59.686794 : Epoch  3, Batch    709, Loss  0.883973, Average Loss  0.871105, Time  0.414465
2021-09-22 23:18:00.057703 : Epoch  5, Batch    651, Loss  0.779068, Average Loss  0.771403, Time  0.249384
2021-09-22 23:18:00.546054 : Epoch  5, Batch    535, Loss  0.764530, Average Loss  0.771547, Time  0.259185
2021-09-22 23:18:01.937924 : Epoch  5, Batch    652, Loss  0.777230, Average Loss  0.771429, Time  0.250807
2021-09-22 23:18:02.486944 : Epoch  5, Batch    536, Loss  0.780178, Average Loss  0.771606, Time  0.268724
2021-09-22 23:18:04.468688 : Epoch  5, Batch    537, Loss  0.777807, Average Loss  0.771546, Time  0.266140
2021-09-22 23:18:04.651776 : Epoch  3, Batch    710, Loss  0.861130, Average Loss  0.870967, Time  0.414115
2021-09-22 23:18:06.440774 : Epoch  5, Batch    538, Loss  0.775825, Average Loss  0.771546, Time  0.260008
2021-09-22 23:18:08.387004 : Epoch  5, Batch    539, Loss  0.772644, Average Loss  0.771514, Time  0.255144
2021-09-22 23:18:09.602778 : Epoch  3, Batch    711, Loss  0.882446, Average Loss  0.871017, Time  0.414148
2021-09-22 23:18:10.323025 : Epoch  5, Batch    540, Loss  0.764490, Average Loss  0.771541, Time  0.258070
2021-09-22 23:18:12.326542 : Epoch  5, Batch    541, Loss  0.768206, Average Loss  0.771490, Time  0.333182
2021-09-22 23:18:14.285207 : Epoch  5, Batch    542, Loss  0.756389, Average Loss  0.771419, Time  0.264141
2021-09-22 23:18:14.564790 : Epoch  3, Batch    712, Loss  0.875049, Average Loss  0.871024, Time  0.413236
2021-09-22 23:18:16.271329 : Epoch  5, Batch    543, Loss  0.780979, Average Loss  0.771500, Time  0.271067
2021-09-22 23:18:18.231129 : Epoch  5, Batch    544, Loss  0.770209, Average Loss  0.771489, Time  0.255154
2021-09-22 23:18:19.571811 : Epoch  3, Batch    713, Loss  0.857089, Average Loss  0.871006, Time  0.465650
2021-09-22 23:18:20.176139 : Epoch  5, Batch    545, Loss  0.759549, Average Loss  0.771438, Time  0.257176
2021-09-22 23:18:22.228359 : Epoch  5, Batch    546, Loss  0.775692, Average Loss  0.771452, Time  0.332877
2021-09-22 23:18:24.180931 : Epoch  5, Batch    547, Loss  0.782430, Average Loss  0.771487, Time  0.258663
2021-09-22 23:18:24.539809 : Epoch  3, Batch    714, Loss  0.875719, Average Loss  0.871062, Time  0.420113
2021-09-22 23:18:26.176055 : Epoch  5, Batch    548, Loss  0.763769, Average Loss  0.771422, Time  0.273430
2021-09-22 23:18:28.140578 : Epoch  5, Batch    549, Loss  0.778839, Average Loss  0.771422, Time  0.266211
2021-09-22 23:18:29.492981 : Epoch  3, Batch    715, Loss  0.871852, Average Loss  0.871047, Time  0.413093
2021-09-22 23:18:30.102979 : Epoch  5, Batch    550, Loss  0.780638, Average Loss  0.771425, Time  0.277810
2021-09-22 23:18:32.158262 : Epoch  5, Batch    551, Loss  0.759965, Average Loss  0.771355, Time  0.345201
2021-09-22 23:18:34.131580 : Epoch  5, Batch    552, Loss  0.776335, Average Loss  0.771324, Time  0.263071
2021-09-22 23:18:34.462211 : Epoch  3, Batch    716, Loss  0.878778, Average Loss  0.871093, Time  0.414030
2021-09-22 23:18:39.415968 : Epoch  3, Batch    717, Loss  0.872164, Average Loss  0.871103, Time  0.413599
2021-09-22 23:18:44.374027 : Epoch  3, Batch    718, Loss  0.859194, Average Loss  0.871100, Time  0.413332
2021-09-22 23:18:49.314998 : Epoch  3, Batch    719, Loss  0.867092, Average Loss  0.871088, Time  0.412913
2021-09-22 23:18:54.266750 : Epoch  3, Batch    720, Loss  0.872440, Average Loss  0.870989, Time  0.413257
2021-09-22 23:18:59.219752 : Epoch  3, Batch    721, Loss  0.860871, Average Loss  0.870920, Time  0.413173
2021-09-22 23:19:04.225003 : Epoch  3, Batch    722, Loss  0.871753, Average Loss  0.870987, Time  0.449005
2021-09-22 23:19:09.182992 : Epoch  3, Batch    723, Loss  0.859300, Average Loss  0.870971, Time  0.413707
2021-09-22 23:19:12.393723 : CheckPoint: Validation Loss  0.00031552, Best Loss  0.00030694
2021-09-22 23:19:14.138918 : Epoch  3, Batch    724, Loss  0.866000, Average Loss  0.870959, Time  0.413889
2021-09-22 23:19:14.383079 : Epoch  5, Batch    653, Loss  0.763006, Average Loss  0.771439, Time  0.344210
2021-09-22 23:19:16.272425 : Epoch  5, Batch    654, Loss  0.765972, Average Loss  0.771395, Time  0.250566
2021-09-22 23:19:18.197458 : Epoch  5, Batch    655, Loss  0.766728, Average Loss  0.771348, Time  0.254538
2021-09-22 23:19:19.084731 : Epoch  3, Batch    725, Loss  0.880428, Average Loss  0.870986, Time  0.413421
2021-09-22 23:19:20.102678 : Epoch  5, Batch    656, Loss  0.757692, Average Loss  0.771298, Time  0.251569
2021-09-22 23:19:22.012156 : Epoch  5, Batch    657, Loss  0.757841, Average Loss  0.771207, Time  0.251663
2021-09-22 23:19:23.920899 : Epoch  5, Batch    658, Loss  0.762995, Average Loss  0.771131, Time  0.251816
2021-09-22 23:19:24.041828 : Epoch  3, Batch    726, Loss  0.872708, Average Loss  0.870958, Time  0.413424
2021-09-22 23:19:25.820207 : Epoch  5, Batch    659, Loss  0.772702, Average Loss  0.771119, Time  0.256078
2021-09-22 23:19:27.716734 : Epoch  5, Batch    660, Loss  0.765381, Average Loss  0.771032, Time  0.249690
2021-09-22 23:19:29.004732 : Epoch  3, Batch    727, Loss  0.879102, Average Loss  0.870985, Time  0.413286
2021-09-22 23:19:29.619316 : Epoch  5, Batch    661, Loss  0.775333, Average Loss  0.771073, Time  0.252498
2021-09-22 23:19:31.603424 : Epoch  5, Batch    662, Loss  0.768544, Average Loss  0.771043, Time  0.329430
2021-09-22 23:19:33.505335 : Epoch  5, Batch    663, Loss  0.769972, Average Loss  0.771078, Time  0.257012
2021-09-22 23:19:33.992762 : Epoch  3, Batch    728, Loss  0.870313, Average Loss  0.870951, Time  0.413531
2021-09-22 23:19:35.396090 : Epoch  5, Batch    664, Loss  0.772749, Average Loss  0.771131, Time  0.253811
2021-09-22 23:19:37.290987 : Epoch  5, Batch    665, Loss  0.759147, Average Loss  0.771049, Time  0.250742
2021-09-22 23:19:38.953741 : Epoch  3, Batch    729, Loss  0.863836, Average Loss  0.870948, Time  0.413243
2021-09-22 23:19:39.181808 : Epoch  5, Batch    666, Loss  0.769233, Average Loss  0.771002, Time  0.249668
2021-09-22 23:19:41.046260 : Epoch  5, Batch    667, Loss  0.773113, Average Loss  0.770960, Time  0.250492
2021-09-22 23:19:42.938785 : Epoch  5, Batch    668, Loss  0.771595, Average Loss  0.770950, Time  0.248027
2021-09-22 23:19:43.908840 : Epoch  3, Batch    730, Loss  0.874029, Average Loss  0.871023, Time  0.413247
2021-09-22 23:19:44.835927 : Epoch  5, Batch    669, Loss  0.766534, Average Loss  0.770919, Time  0.251117
2021-09-22 23:19:46.723912 : Epoch  5, Batch    670, Loss  0.774252, Average Loss  0.770900, Time  0.249664
2021-09-22 23:19:47.588756 : CheckPoint: Validation Loss  0.00031698, Best Loss  0.00030514
2021-09-22 23:19:48.646164 : Epoch  5, Batch    671, Loss  0.773361, Average Loss  0.770893, Time  0.248539
2021-09-22 23:19:48.909734 : Epoch  3, Batch    731, Loss  0.871582, Average Loss  0.871111, Time  0.413375
2021-09-22 23:19:49.574044 : Epoch  5, Batch    553, Loss  0.775969, Average Loss  0.771313, Time  0.269527
2021-09-22 23:19:50.560073 : Epoch  5, Batch    672, Loss  0.767030, Average Loss  0.770823, Time  0.251543
2021-09-22 23:19:51.548856 : Epoch  5, Batch    554, Loss  0.777757, Average Loss  0.771407, Time  0.260688
2021-09-22 23:19:52.471150 : Epoch  5, Batch    673, Loss  0.771936, Average Loss  0.770859, Time  0.252053
2021-09-22 23:19:53.502888 : Epoch  5, Batch    555, Loss  0.771286, Average Loss  0.771358, Time  0.255315
2021-09-22 23:19:53.897944 : Epoch  3, Batch    732, Loss  0.875416, Average Loss  0.871124, Time  0.450571
2021-09-22 23:19:54.364263 : Epoch  5, Batch    674, Loss  0.769630, Average Loss  0.770866, Time  0.255284
2021-09-22 23:19:55.478355 : Epoch  5, Batch    556, Loss  0.772783, Average Loss  0.771361, Time  0.273764
2021-09-22 23:19:56.249551 : Epoch  5, Batch    675, Loss  0.767588, Average Loss  0.770868, Time  0.248807
2021-09-22 23:19:57.460221 : Epoch  5, Batch    557, Loss  0.780624, Average Loss  0.771468, Time  0.264365
2021-09-22 23:19:58.119974 : Epoch  5, Batch    676, Loss  0.777367, Average Loss  0.770876, Time  0.248977
2021-09-22 23:19:58.853943 : Epoch  3, Batch    733, Loss  0.855748, Average Loss  0.871126, Time  0.412853
2021-09-22 23:19:59.448158 : Epoch  5, Batch    558, Loss  0.779454, Average Loss  0.771494, Time  0.259852
2021-09-22 23:20:00.007872 : Epoch  5, Batch    677, Loss  0.779910, Average Loss  0.770883, Time  0.254777
2021-09-22 23:20:01.404089 : Epoch  5, Batch    559, Loss  0.770721, Average Loss  0.771518, Time  0.256084
2021-09-22 23:20:01.904696 : Epoch  5, Batch    678, Loss  0.765398, Average Loss  0.770868, Time  0.254037
2021-09-22 23:20:03.376994 : Epoch  5, Batch    560, Loss  0.763409, Average Loss  0.771482, Time  0.257845
2021-09-22 23:20:03.791471 : Epoch  5, Batch    679, Loss  0.772302, Average Loss  0.770858, Time  0.250775
2021-09-22 23:20:03.806068 : Epoch  3, Batch    734, Loss  0.873315, Average Loss  0.871118, Time  0.413356
2021-09-22 23:20:05.362860 : Epoch  5, Batch    561, Loss  0.767080, Average Loss  0.771487, Time  0.284801
2021-09-22 23:20:05.672642 : Epoch  5, Batch    680, Loss  0.773066, Average Loss  0.770832, Time  0.256425
2021-09-22 23:20:07.309099 : Epoch  5, Batch    562, Loss  0.779682, Average Loss  0.771510, Time  0.270028
2021-09-22 23:20:07.561144 : Epoch  5, Batch    681, Loss  0.767953, Average Loss  0.770781, Time  0.257577
2021-09-22 23:20:08.799774 : Epoch  3, Batch    735, Loss  0.861103, Average Loss  0.871057, Time  0.414692
2021-09-22 23:20:09.409254 : Epoch  5, Batch    563, Loss  0.768029, Average Loss  0.771500, Time  0.384607
2021-09-22 23:20:09.531605 : Epoch  5, Batch    682, Loss  0.774340, Average Loss  0.770775, Time  0.328561
2021-09-22 23:20:11.598005 : Epoch  5, Batch    564, Loss  0.754784, Average Loss  0.771428, Time  0.507496
2021-09-22 23:20:11.634990 : Epoch  5, Batch    683, Loss  0.768860, Average Loss  0.770777, Time  0.460529
2021-09-22 23:20:13.761953 : Epoch  3, Batch    736, Loss  0.854447, Average Loss  0.870958, Time  0.414026
2021-09-22 23:20:13.794969 : Epoch  5, Batch    684, Loss  0.764739, Average Loss  0.770737, Time  0.510914
2021-09-22 23:20:13.833605 : Epoch  5, Batch    565, Loss  0.770941, Average Loss  0.771406, Time  0.498937
2021-09-22 23:20:15.839061 : Epoch  5, Batch    685, Loss  0.772323, Average Loss  0.770743, Time  0.419368
2021-09-22 23:20:15.925039 : Epoch  5, Batch    566, Loss  0.774310, Average Loss  0.771417, Time  0.389067
2021-09-22 23:20:17.849963 : Epoch  5, Batch    686, Loss  0.776323, Average Loss  0.770745, Time  0.379579
2021-09-22 23:20:17.971994 : Epoch  5, Batch    567, Loss  0.766934, Average Loss  0.771387, Time  0.350538
2021-09-22 23:20:18.720004 : Epoch  3, Batch    737, Loss  0.858530, Average Loss  0.870875, Time  0.414341
2021-09-22 23:20:19.821261 : Epoch  5, Batch    687, Loss  0.779169, Average Loss  0.770777, Time  0.333483
2021-09-22 23:20:19.978117 : Epoch  5, Batch    568, Loss  0.771646, Average Loss  0.771319, Time  0.313064
2021-09-22 23:20:21.706146 : Epoch  5, Batch    688, Loss  0.776440, Average Loss  0.770794, Time  0.250561
2021-09-22 23:20:21.946051 : Epoch  5, Batch    569, Loss  0.781131, Average Loss  0.771348, Time  0.267278
2021-09-22 23:20:23.607932 : Epoch  5, Batch    689, Loss  0.762828, Average Loss  0.770762, Time  0.251384
2021-09-22 23:20:23.686780 : Epoch  3, Batch    738, Loss  0.850922, Average Loss  0.870714, Time  0.413309
2021-09-22 23:20:23.913030 : Epoch  5, Batch    570, Loss  0.762183, Average Loss  0.771331, Time  0.278354
2021-09-22 23:20:25.479505 : Epoch  5, Batch    690, Loss  0.778932, Average Loss  0.770772, Time  0.253583
2021-09-22 23:20:25.865422 : Epoch  5, Batch    571, Loss  0.775983, Average Loss  0.771398, Time  0.260884
2021-09-22 23:20:27.380016 : Epoch  5, Batch    691, Loss  0.775239, Average Loss  0.770756, Time  0.256050
2021-09-22 23:20:27.823227 : Epoch  5, Batch    572, Loss  0.782402, Average Loss  0.771500, Time  0.260712
2021-09-22 23:20:28.699756 : Epoch  3, Batch    739, Loss  0.879215, Average Loss  0.870692, Time  0.413399
2021-09-22 23:20:29.266284 : Epoch  5, Batch    692, Loss  0.774058, Average Loss  0.770786, Time  0.257769
2021-09-22 23:20:29.774984 : Epoch  5, Batch    573, Loss  0.789279, Average Loss  0.771582, Time  0.264133
2021-09-22 23:20:31.152688 : Epoch  5, Batch    693, Loss  0.764043, Average Loss  0.770749, Time  0.248066
2021-09-22 23:20:31.715979 : Epoch  5, Batch    574, Loss  0.772476, Average Loss  0.771592, Time  0.258078
2021-09-22 23:20:33.048333 : Epoch  5, Batch    694, Loss  0.769593, Average Loss  0.770763, Time  0.259202
2021-09-22 23:20:33.673004 : Epoch  5, Batch    575, Loss  0.775950, Average Loss  0.771565, Time  0.270444
2021-09-22 23:20:33.719169 : Epoch  3, Batch    740, Loss  0.869142, Average Loss  0.870704, Time  0.413141
2021-09-22 23:20:34.961558 : Epoch  5, Batch    695, Loss  0.778308, Average Loss  0.770766, Time  0.251116
2021-09-22 23:20:35.613530 : Epoch  5, Batch    576, Loss  0.766385, Average Loss  0.771526, Time  0.265146
2021-09-22 23:20:36.865350 : Epoch  5, Batch    696, Loss  0.769626, Average Loss  0.770722, Time  0.260650
2021-09-22 23:20:37.579871 : Epoch  5, Batch    577, Loss  0.763471, Average Loss  0.771488, Time  0.253888
2021-09-22 23:20:38.709740 : Epoch  3, Batch    741, Loss  0.877500, Average Loss  0.870858, Time  0.454059
2021-09-22 23:20:38.753998 : Epoch  5, Batch    697, Loss  0.763998, Average Loss  0.770644, Time  0.254553
2021-09-22 23:20:39.525019 : Epoch  5, Batch    578, Loss  0.778074, Average Loss  0.771571, Time  0.263343
2021-09-22 23:20:40.629457 : Epoch  5, Batch    698, Loss  0.768839, Average Loss  0.770610, Time  0.249672
2021-09-22 23:20:41.457942 : Epoch  5, Batch    579, Loss  0.769478, Average Loss  0.771567, Time  0.261956
2021-09-22 23:20:42.510917 : Epoch  5, Batch    699, Loss  0.775401, Average Loss  0.770640, Time  0.249532
2021-09-22 23:20:43.404095 : Epoch  5, Batch    580, Loss  0.769777, Average Loss  0.771559, Time  0.263032
2021-09-22 23:20:43.690988 : Epoch  3, Batch    742, Loss  0.872145, Average Loss  0.870865, Time  0.414280
2021-09-22 23:20:44.404644 : Epoch  5, Batch    700, Loss  0.770303, Average Loss  0.770634, Time  0.250778
2021-09-22 23:20:45.374204 : Epoch  5, Batch    581, Loss  0.787478, Average Loss  0.771579, Time  0.262278
2021-09-22 23:20:46.298202 : Epoch  5, Batch    701, Loss  0.766201, Average Loss  0.770649, Time  0.250377
2021-09-22 23:20:47.351971 : Epoch  5, Batch    582, Loss  0.765954, Average Loss  0.771582, Time  0.272146
2021-09-22 23:20:48.175654 : Epoch  5, Batch    702, Loss  0.774854, Average Loss  0.770635, Time  0.256944
2021-09-22 23:20:48.641728 : Epoch  3, Batch    743, Loss  0.861931, Average Loss  0.870845, Time  0.413112
2021-09-22 23:20:49.312888 : Epoch  5, Batch    583, Loss  0.773642, Average Loss  0.771595, Time  0.257546
2021-09-22 23:20:50.070178 : Epoch  5, Batch    703, Loss  0.764652, Average Loss  0.770576, Time  0.259681
2021-09-22 23:20:51.282434 : Epoch  5, Batch    584, Loss  0.756047, Average Loss  0.771528, Time  0.263783
2021-09-22 23:20:51.970926 : Epoch  5, Batch    704, Loss  0.771415, Average Loss  0.770553, Time  0.250232
2021-09-22 23:20:53.253883 : Epoch  5, Batch    585, Loss  0.771168, Average Loss  0.771558, Time  0.264630
2021-09-22 23:20:53.579134 : Epoch  3, Batch    744, Loss  0.876833, Average Loss  0.870865, Time  0.413148
2021-09-22 23:20:53.855884 : Epoch  5, Batch    705, Loss  0.763303, Average Loss  0.770526, Time  0.255493
2021-09-22 23:20:55.238880 : Epoch  5, Batch    586, Loss  0.782374, Average Loss  0.771614, Time  0.262751
2021-09-22 23:20:55.726292 : Epoch  5, Batch    706, Loss  0.771836, Average Loss  0.770525, Time  0.249069
2021-09-22 23:20:57.181850 : Epoch  5, Batch    587, Loss  0.765813, Average Loss  0.771632, Time  0.254835
2021-09-22 23:20:57.618409 : Epoch  5, Batch    707, Loss  0.763189, Average Loss  0.770440, Time  0.249452
2021-09-22 23:20:59.142216 : Epoch  5, Batch    588, Loss  0.783564, Average Loss  0.771745, Time  0.270200
2021-09-22 23:20:59.484246 : Epoch  5, Batch    708, Loss  0.769802, Average Loss  0.770441, Time  0.256108
2021-09-22 23:21:01.088113 : Epoch  5, Batch    589, Loss  0.767792, Average Loss  0.771737, Time  0.257182
2021-09-22 23:21:01.350844 : Epoch  5, Batch    709, Loss  0.764588, Average Loss  0.770421, Time  0.249434
2021-09-22 23:21:03.121496 : Epoch  5, Batch    590, Loss  0.769056, Average Loss  0.771718, Time  0.336642
2021-09-22 23:21:03.276285 : Epoch  5, Batch    710, Loss  0.772151, Average Loss  0.770446, Time  0.302186
2021-09-22 23:21:05.316957 : Epoch  5, Batch    591, Loss  0.783043, Average Loss  0.771740, Time  0.502336
2021-09-22 23:21:05.346570 : Epoch  5, Batch    711, Loss  0.774482, Average Loss  0.770485, Time  0.453608
2021-09-22 23:21:07.482933 : Epoch  5, Batch    712, Loss  0.765569, Average Loss  0.770437, Time  0.507250
2021-09-22 23:21:07.519898 : Epoch  5, Batch    592, Loss  0.766659, Average Loss  0.771716, Time  0.488163
2021-09-22 23:21:09.558166 : Epoch  5, Batch    713, Loss  0.765080, Average Loss  0.770358, Time  0.438185
2021-09-22 23:21:09.649886 : Epoch  5, Batch    593, Loss  0.776705, Average Loss  0.771753, Time  0.421096
2021-09-22 23:21:11.632245 : Epoch  5, Batch    714, Loss  0.757649, Average Loss  0.770288, Time  0.425582
2021-09-22 23:21:11.721988 : Epoch  5, Batch    594, Loss  0.784234, Average Loss  0.771776, Time  0.397101
2021-09-22 23:21:13.614508 : Epoch  5, Batch    715, Loss  0.768832, Average Loss  0.770280, Time  0.367678
2021-09-22 23:21:13.742484 : Epoch  5, Batch    595, Loss  0.774050, Average Loss  0.771747, Time  0.326191
2021-09-22 23:21:15.527825 : Epoch  5, Batch    716, Loss  0.765108, Average Loss  0.770230, Time  0.294619
2021-09-22 23:21:15.714080 : Epoch  5, Batch    596, Loss  0.780178, Average Loss  0.771772, Time  0.287111
2021-09-22 23:21:17.475144 : Epoch  5, Batch    717, Loss  0.771872, Average Loss  0.770298, Time  0.298899
2021-09-22 23:21:17.668371 : Epoch  5, Batch    597, Loss  0.768480, Average Loss  0.771729, Time  0.292674
2021-09-22 23:21:19.366892 : Epoch  5, Batch    718, Loss  0.761554, Average Loss  0.770251, Time  0.254827
2021-09-22 23:21:19.605795 : Epoch  5, Batch    598, Loss  0.774383, Average Loss  0.771752, Time  0.266569
2021-09-22 23:21:21.256789 : Epoch  5, Batch    719, Loss  0.771125, Average Loss  0.770223, Time  0.253200
2021-09-22 23:21:21.561427 : Epoch  5, Batch    599, Loss  0.778077, Average Loss  0.771845, Time  0.264419
2021-09-22 23:21:23.155541 : Epoch  5, Batch    720, Loss  0.770464, Average Loss  0.770258, Time  0.252257
2021-09-22 23:21:23.542280 : Epoch  5, Batch    600, Loss  0.774254, Average Loss  0.771887, Time  0.267323
2021-09-22 23:21:25.032868 : Epoch  5, Batch    721, Loss  0.767383, Average Loss  0.770218, Time  0.249177
2021-09-22 23:21:25.486970 : Epoch  5, Batch    601, Loss  0.772764, Average Loss  0.771873, Time  0.265115
2021-09-22 23:21:26.911036 : Epoch  5, Batch    722, Loss  0.774254, Average Loss  0.770223, Time  0.251922
2021-09-22 23:21:27.471242 : Epoch  5, Batch    602, Loss  0.779123, Average Loss  0.771916, Time  0.260806
2021-09-22 23:21:29.413920 : Epoch  5, Batch    603, Loss  0.769695, Average Loss  0.772001, Time  0.254658
2021-09-22 23:21:30.666738 : Epoch  5, Batch    723, Loss  0.766168, Average Loss  0.770246, Time  0.248402
2021-09-22 23:21:31.377621 : Epoch  5, Batch    604, Loss  0.765402, Average Loss  0.772019, Time  0.262292
2021-09-22 23:21:32.551775 : Epoch  5, Batch    724, Loss  0.768200, Average Loss  0.770268, Time  0.251794
2021-09-22 23:21:33.335909 : Epoch  5, Batch    605, Loss  0.772623, Average Loss  0.771964, Time  0.261221
2021-09-22 23:21:34.437208 : Epoch  5, Batch    725, Loss  0.764264, Average Loss  0.770212, Time  0.249200
2021-09-22 23:21:35.268052 : Epoch  5, Batch    606, Loss  0.768083, Average Loss  0.771931, Time  0.265259
2021-09-22 23:21:36.307989 : Epoch  5, Batch    726, Loss  0.774915, Average Loss  0.770233, Time  0.249027
2021-09-22 23:21:37.219932 : Epoch  5, Batch    607, Loss  0.775410, Average Loss  0.771896, Time  0.265949
2021-09-22 23:21:38.189743 : Epoch  5, Batch    727, Loss  0.775289, Average Loss  0.770222, Time  0.249244
2021-09-22 23:21:39.174219 : Epoch  5, Batch    608, Loss  0.793150, Average Loss  0.771977, Time  0.261531
2021-09-22 23:21:40.073324 : Epoch  5, Batch    728, Loss  0.783276, Average Loss  0.770328, Time  0.248335
2021-09-22 23:21:41.140351 : Epoch  5, Batch    609, Loss  0.775493, Average Loss  0.771969, Time  0.261989
2021-09-22 23:21:41.935456 : Epoch  5, Batch    729, Loss  0.778614, Average Loss  0.770370, Time  0.248514
2021-09-22 23:21:43.135537 : Epoch  5, Batch    610, Loss  0.765605, Average Loss  0.771982, Time  0.272495
2021-09-22 23:21:43.824946 : Epoch  5, Batch    730, Loss  0.773044, Average Loss  0.770417, Time  0.251526
2021-09-22 23:21:45.107294 : Epoch  5, Batch    611, Loss  0.765707, Average Loss  0.771919, Time  0.273118
2021-09-22 23:21:45.703247 : Epoch  5, Batch    731, Loss  0.771651, Average Loss  0.770394, Time  0.251639
2021-09-22 23:21:47.080021 : Epoch  5, Batch    612, Loss  0.781257, Average Loss  0.771938, Time  0.258360
2021-09-22 23:21:47.588024 : Epoch  5, Batch    732, Loss  0.774204, Average Loss  0.770374, Time  0.250373
2021-09-22 23:21:49.076630 : Epoch  5, Batch    613, Loss  0.782122, Average Loss  0.772045, Time  0.271125
2021-09-22 23:21:49.501896 : Epoch  5, Batch    733, Loss  0.775396, Average Loss  0.770463, Time  0.249203
2021-09-22 23:21:51.008173 : Epoch  5, Batch    614, Loss  0.782766, Average Loss  0.772124, Time  0.257996
2021-09-22 23:21:51.390395 : Epoch  5, Batch    734, Loss  0.780765, Average Loss  0.770465, Time  0.249248
2021-09-22 23:21:52.957084 : Epoch  5, Batch    615, Loss  0.782468, Average Loss  0.772197, Time  0.264139
2021-09-22 23:21:53.277810 : Epoch  5, Batch    735, Loss  0.767506, Average Loss  0.770441, Time  0.257855
2021-09-22 23:21:54.902463 : Epoch  5, Batch    616, Loss  0.770360, Average Loss  0.772166, Time  0.259941
2021-09-22 23:21:55.173445 : Epoch  5, Batch    736, Loss  0.776945, Average Loss  0.770426, Time  0.261636
2021-09-22 23:21:56.934563 : Epoch  5, Batch    617, Loss  0.775179, Average Loss  0.772203, Time  0.341211
2021-09-22 23:21:57.093169 : Epoch  5, Batch    737, Loss  0.769189, Average Loss  0.770423, Time  0.310645
2021-09-22 23:21:59.100118 : Epoch  5, Batch    618, Loss  0.768458, Average Loss  0.772150, Time  0.472172
2021-09-22 23:21:59.149010 : Epoch  5, Batch    738, Loss  0.760195, Average Loss  0.770408, Time  0.426926
2021-09-22 23:22:01.295011 : Epoch  5, Batch    739, Loss  0.774797, Average Loss  0.770434, Time  0.528515
2021-09-22 23:22:01.295010 : Epoch  5, Batch    619, Loss  0.774705, Average Loss  0.772125, Time  0.507948
2021-09-22 23:22:03.402991 : Epoch  5, Batch    740, Loss  0.775013, Average Loss  0.770469, Time  0.479477
2021-09-22 23:22:03.463475 : Epoch  5, Batch    620, Loss  0.763925, Average Loss  0.772140, Time  0.467978
2021-09-22 23:22:05.548661 : Epoch  5, Batch    741, Loss  0.773698, Average Loss  0.770494, Time  0.465897
2021-09-22 23:22:05.616103 : Epoch  5, Batch    621, Loss  0.769654, Average Loss  0.772141, Time  0.443789
2021-09-22 23:22:07.700975 : Epoch  5, Batch    742, Loss  0.775088, Average Loss  0.770512, Time  0.456198
2021-09-22 23:22:07.773012 : Epoch  5, Batch    622, Loss  0.773535, Average Loss  0.772140, Time  0.435926
2021-09-22 23:22:09.613191 : Epoch  5, Batch    743, Loss  0.780688, Average Loss  0.770566, Time  0.263123
2021-09-22 23:22:11.515857 : Epoch  5, Batch    744, Loss  0.768238, Average Loss  0.770472, Time  0.251357
2021-09-22 23:22:12.092906 : Epoch  5, Batch    623, Loss  0.759652, Average Loss  0.772094, Time  0.262151
2021-09-22 23:22:13.390147 : Epoch  5, Batch    745, Loss  0.770749, Average Loss  0.770513, Time  0.250390
2021-09-22 23:22:14.035626 : Epoch  5, Batch    624, Loss  0.780260, Average Loss  0.772099, Time  0.259373
2021-09-22 23:22:15.270930 : Epoch  5, Batch    746, Loss  0.777267, Average Loss  0.770533, Time  0.251273
2021-09-22 23:22:15.991288 : Epoch  5, Batch    625, Loss  0.776228, Average Loss  0.772124, Time  0.261033
2021-09-22 23:22:17.158523 : Epoch  5, Batch    747, Loss  0.778058, Average Loss  0.770541, Time  0.250939
2021-09-22 23:22:17.938676 : Epoch  5, Batch    626, Loss  0.768605, Average Loss  0.772101, Time  0.257813
2021-09-22 23:22:19.030474 : Epoch  5, Batch    748, Loss  0.785918, Average Loss  0.770622, Time  0.248487
2021-09-22 23:22:19.923448 : Epoch  5, Batch    627, Loss  0.763429, Average Loss  0.772077, Time  0.256361
2021-09-22 23:22:20.904631 : Epoch  5, Batch    749, Loss  0.771563, Average Loss  0.770648, Time  0.248915
2021-09-22 23:22:21.873607 : Epoch  5, Batch    628, Loss  0.770584, Average Loss  0.772083, Time  0.265518
2021-09-22 23:22:22.778468 : Epoch  5, Batch    750, Loss  0.775564, Average Loss  0.770664, Time  0.251896
2021-09-22 23:22:23.835418 : Epoch  5, Batch    629, Loss  0.777269, Average Loss  0.772086, Time  0.257523
2021-09-22 23:22:24.669860 : Epoch  5, Batch    751, Loss  0.778129, Average Loss  0.770716, Time  0.256002
2021-09-22 23:22:25.775173 : Epoch  5, Batch    630, Loss  0.762256, Average Loss  0.772046, Time  0.254005
2021-09-22 23:22:26.557063 : Epoch  5, Batch    752, Loss  0.772285, Average Loss  0.770755, Time  0.249087
2021-09-22 23:22:27.728035 : Epoch  5, Batch    631, Loss  0.764425, Average Loss  0.771921, Time  0.258736
2021-09-22 23:22:29.684369 : Epoch  5, Batch    632, Loss  0.767939, Average Loss  0.771849, Time  0.254022
2021-09-22 23:22:31.636036 : Epoch  5, Batch    633, Loss  0.775878, Average Loss  0.771802, Time  0.261482
2021-09-22 23:22:33.605369 : Epoch  5, Batch    634, Loss  0.779270, Average Loss  0.771860, Time  0.263954
2021-09-22 23:22:35.552076 : Epoch  5, Batch    635, Loss  0.768749, Average Loss  0.771878, Time  0.263838
2021-09-22 23:22:37.517524 : Epoch  5, Batch    636, Loss  0.767089, Average Loss  0.771884, Time  0.261482
2021-09-22 23:22:39.506851 : Epoch  5, Batch    637, Loss  0.766320, Average Loss  0.771861, Time  0.264976
2021-09-22 23:22:41.480478 : Epoch  5, Batch    638, Loss  0.765352, Average Loss  0.771909, Time  0.262293
2021-09-22 23:22:43.491588 : Epoch  5, Batch    639, Loss  0.764601, Average Loss  0.771884, Time  0.300879
2021-09-22 23:22:45.432438 : Epoch  5, Batch    640, Loss  0.769344, Average Loss  0.771860, Time  0.260423
2021-09-22 23:22:47.391955 : Epoch  5, Batch    641, Loss  0.768556, Average Loss  0.771883, Time  0.263456
2021-09-22 23:22:49.360901 : Epoch  5, Batch    642, Loss  0.772373, Average Loss  0.771912, Time  0.264603
2021-09-22 23:22:51.306459 : Epoch  5, Batch    643, Loss  0.771308, Average Loss  0.771960, Time  0.255882
2021-09-22 23:22:53.337609 : Epoch  5, Batch    644, Loss  0.771039, Average Loss  0.771910, Time  0.339720
2021-09-22 23:22:55.303976 : Epoch  5, Batch    645, Loss  0.768111, Average Loss  0.771915, Time  0.263105
2021-09-22 23:22:57.258475 : Epoch  5, Batch    646, Loss  0.780275, Average Loss  0.771951, Time  0.266511
2021-09-22 23:22:59.243024 : Epoch  5, Batch    647, Loss  0.789134, Average Loss  0.772014, Time  0.266140
2021-09-22 23:23:01.207265 : Epoch  5, Batch    648, Loss  0.759204, Average Loss  0.771972, Time  0.269612
2021-09-22 23:23:03.264473 : Epoch  5, Batch    649, Loss  0.773062, Average Loss  0.771941, Time  0.338299
2021-09-22 23:23:05.227993 : Epoch  5, Batch    650, Loss  0.775934, Average Loss  0.771988, Time  0.258318
2021-09-22 23:23:07.207835 : Epoch  5, Batch    651, Loss  0.787402, Average Loss  0.772110, Time  0.275677
2021-09-22 23:23:09.169411 : Epoch  5, Batch    652, Loss  0.758596, Average Loss  0.772022, Time  0.270925
2021-09-22 23:23:36.759962 : CheckPoint: Validation Loss  0.00032651, Best Loss  0.00030694
2021-09-22 23:23:38.665405 : Epoch  5, Batch    753, Loss  0.766227, Average Loss  0.770740, Time  0.270881
2021-09-22 23:23:40.578476 : Epoch  5, Batch    754, Loss  0.763828, Average Loss  0.770726, Time  0.249793
2021-09-22 23:23:42.530094 : Epoch  5, Batch    755, Loss  0.768602, Average Loss  0.770767, Time  0.325404
2021-09-22 23:23:44.414468 : Epoch  5, Batch    756, Loss  0.773208, Average Loss  0.770787, Time  0.254285
2021-09-22 23:23:46.288264 : Epoch  5, Batch    757, Loss  0.771413, Average Loss  0.770796, Time  0.251972
2021-09-22 23:23:48.181244 : Epoch  5, Batch    758, Loss  0.776440, Average Loss  0.770812, Time  0.250562
2021-09-22 23:23:50.058383 : Epoch  5, Batch    759, Loss  0.768614, Average Loss  0.770813, Time  0.248249
2021-09-22 23:23:51.955948 : Epoch  5, Batch    760, Loss  0.782677, Average Loss  0.770853, Time  0.249430
2021-09-22 23:23:53.844194 : Epoch  5, Batch    761, Loss  0.776241, Average Loss  0.770899, Time  0.247791
2021-09-22 23:23:55.733780 : Epoch  5, Batch    762, Loss  0.772345, Average Loss  0.770831, Time  0.255327
2021-09-22 23:23:57.625210 : Epoch  5, Batch    763, Loss  0.773847, Average Loss  0.770861, Time  0.248066
2021-09-22 23:23:59.586375 : Epoch  5, Batch    764, Loss  0.781983, Average Loss  0.770918, Time  0.326189
2021-09-22 23:24:01.476629 : Epoch  5, Batch    765, Loss  0.767372, Average Loss  0.770974, Time  0.269122
2021-09-22 23:24:03.354153 : Epoch  5, Batch    766, Loss  0.769903, Average Loss  0.770952, Time  0.251385
2021-09-22 23:24:05.248270 : Epoch  5, Batch    767, Loss  0.776354, Average Loss  0.771021, Time  0.262068
2021-09-22 23:24:07.144815 : Epoch  5, Batch    768, Loss  0.768188, Average Loss  0.771017, Time  0.258558
2021-09-22 23:24:09.047321 : Epoch  5, Batch    769, Loss  0.771510, Average Loss  0.771029, Time  0.253629
2021-09-22 23:24:10.960862 : Epoch  5, Batch    770, Loss  0.761957, Average Loss  0.771010, Time  0.259814
2021-09-22 23:24:12.837920 : Epoch  5, Batch    771, Loss  0.773118, Average Loss  0.771022, Time  0.250574
2021-09-22 23:24:14.721945 : Epoch  5, Batch    772, Loss  0.766259, Average Loss  0.770991, Time  0.255313
2021-09-22 23:24:16.600797 : Epoch  5, Batch    773, Loss  0.770269, Average Loss  0.770906, Time  0.249173
2021-09-22 23:24:18.555024 : Epoch  5, Batch    774, Loss  0.779146, Average Loss  0.770952, Time  0.322362
2021-09-22 23:24:20.457829 : Epoch  5, Batch    775, Loss  0.773841, Average Loss  0.770933, Time  0.249014
2021-09-22 23:24:22.348793 : Epoch  5, Batch    776, Loss  0.776286, Average Loss  0.770990, Time  0.254424
2021-09-22 23:24:22.430797 : CheckPoint: Validation Loss  0.00032425, Best Loss  0.00030514
2021-09-22 23:24:24.426054 : Epoch  5, Batch    777, Loss  0.777559, Average Loss  0.771075, Time  0.421203
2021-09-22 23:24:24.512299 : Epoch  5, Batch    653, Loss  0.771864, Average Loss  0.772039, Time  0.393281
2021-09-22 23:24:26.464331 : Epoch  5, Batch    778, Loss  0.774725, Average Loss  0.771124, Time  0.406195
2021-09-22 23:24:26.564977 : Epoch  5, Batch    654, Loss  0.768303, Average Loss  0.772021, Time  0.383853
2021-09-22 23:24:28.480850 : Epoch  5, Batch    779, Loss  0.774401, Average Loss  0.771165, Time  0.381361
2021-09-22 23:24:28.602118 : Epoch  5, Batch    655, Loss  0.767802, Average Loss  0.772050, Time  0.357098
2021-09-22 23:24:30.397125 : Epoch  5, Batch    780, Loss  0.761879, Average Loss  0.771113, Time  0.306196
2021-09-22 23:24:30.583740 : Epoch  5, Batch    656, Loss  0.774556, Average Loss  0.772120, Time  0.299121
2021-09-22 23:24:32.286022 : Epoch  5, Batch    781, Loss  0.765601, Average Loss  0.771061, Time  0.248288
2021-09-22 23:24:32.523162 : Epoch  5, Batch    657, Loss  0.771895, Average Loss  0.772123, Time  0.268983
2021-09-22 23:24:34.165026 : Epoch  5, Batch    782, Loss  0.780799, Average Loss  0.771098, Time  0.248467
2021-09-22 23:24:34.465919 : Epoch  5, Batch    658, Loss  0.774491, Average Loss  0.772170, Time  0.257932
2021-09-22 23:24:36.038317 : Epoch  5, Batch    783, Loss  0.772340, Average Loss  0.771107, Time  0.249362
2021-09-22 23:24:36.394050 : Epoch  5, Batch    659, Loss  0.776338, Average Loss  0.772209, Time  0.255230
2021-09-22 23:24:37.953971 : Epoch  5, Batch    784, Loss  0.777876, Average Loss  0.771149, Time  0.255960
2021-09-22 23:24:38.320471 : Epoch  5, Batch    660, Loss  0.773656, Average Loss  0.772262, Time  0.255661
2021-09-22 23:24:39.833318 : Epoch  5, Batch    785, Loss  0.762027, Average Loss  0.771089, Time  0.251276
2021-09-22 23:24:40.251192 : Epoch  5, Batch    661, Loss  0.760880, Average Loss  0.772204, Time  0.259650
2021-09-22 23:24:41.701963 : Epoch  5, Batch    786, Loss  0.765612, Average Loss  0.771046, Time  0.248727
2021-09-22 23:24:42.202502 : Epoch  5, Batch    662, Loss  0.762005, Average Loss  0.772163, Time  0.256538
2021-09-22 23:24:43.579933 : Epoch  5, Batch    787, Loss  0.778093, Average Loss  0.771106, Time  0.248628
2021-09-22 23:24:43.627272 : Saving Model after 5-th Epoch.
2021-09-22 23:24:44.162895 : Epoch  5, Batch    663, Loss  0.783465, Average Loss  0.772217, Time  0.257624
2021-09-22 23:24:44.451680 : Epoch Finished.
2021-09-22 23:24:46.266866 : Batch Shuffled
2021-09-22 23:24:46.375361 : Epoch  5, Batch    664, Loss  0.769361, Average Loss  0.772191, Time  0.260052
2021-09-22 23:24:48.276850 : Epoch  6, Batch      1, Loss  0.768425, Average Loss  0.771134, Time  0.374918
2021-09-22 23:24:48.403940 : Epoch  5, Batch    665, Loss  0.761765, Average Loss  0.772169, Time  0.351418
2021-09-22 23:24:50.161880 : Epoch  6, Batch      2, Loss  0.776725, Average Loss  0.771147, Time  0.249649
2021-09-22 23:24:50.221753 : CheckPoint: Validation Loss  0.00015064, Best Loss  0.00014923
2021-09-22 23:24:50.393618 : Epoch  5, Batch    666, Loss  0.772330, Average Loss  0.772188, Time  0.264060
2021-09-22 23:24:52.053899 : Epoch  6, Batch      3, Loss  0.758532, Average Loss  0.771104, Time  0.250432
2021-09-22 23:24:52.334078 : Epoch  5, Batch    667, Loss  0.752857, Average Loss  0.772086, Time  0.258883
2021-09-22 23:24:53.946071 : Epoch  6, Batch      4, Loss  0.770867, Average Loss  0.771079, Time  0.251304
2021-09-22 23:24:54.296466 : Epoch  5, Batch    668, Loss  0.777253, Average Loss  0.772123, Time  0.267116
2021-09-22 23:24:55.187818 : Epoch  3, Batch    745, Loss  0.859366, Average Loss  0.870911, Time  0.414180
2021-09-22 23:24:55.842049 : Epoch  6, Batch      5, Loss  0.763302, Average Loss  0.771013, Time  0.249409
2021-09-22 23:24:56.250087 : Epoch  5, Batch    669, Loss  0.767245, Average Loss  0.772027, Time  0.261647
2021-09-22 23:24:57.726255 : Epoch  6, Batch      6, Loss  0.767068, Average Loss  0.770940, Time  0.257745
2021-09-22 23:24:58.188504 : Epoch  5, Batch    670, Loss  0.781276, Average Loss  0.772097, Time  0.259033
2021-09-22 23:24:59.597871 : Epoch  6, Batch      7, Loss  0.770525, Average Loss  0.770999, Time  0.249343
2021-09-22 23:25:00.130914 : Epoch  3, Batch    746, Loss  0.859554, Average Loss  0.870829, Time  0.414032
2021-09-22 23:25:00.157082 : Epoch  5, Batch    671, Loss  0.771446, Average Loss  0.772094, Time  0.276966
2021-09-22 23:25:01.483740 : Epoch  6, Batch      8, Loss  0.780908, Average Loss  0.770995, Time  0.248585
2021-09-22 23:25:02.090784 : Epoch  5, Batch    672, Loss  0.779085, Average Loss  0.772133, Time  0.271883
2021-09-22 23:25:03.365428 : Epoch  6, Batch      9, Loss  0.780309, Average Loss  0.771042, Time  0.254308
2021-09-22 23:25:04.042380 : Epoch  5, Batch    673, Loss  0.771092, Average Loss  0.772101, Time  0.258619
2021-09-22 23:25:05.107780 : Epoch  3, Batch    747, Loss  0.872903, Average Loss  0.870782, Time  0.416880
2021-09-22 23:25:05.251594 : Epoch  6, Batch     10, Loss  0.772484, Average Loss  0.771059, Time  0.249971
2021-09-22 23:25:06.008451 : Epoch  5, Batch    674, Loss  0.768151, Average Loss  0.772053, Time  0.263015
2021-09-22 23:25:07.147342 : Epoch  6, Batch     11, Loss  0.773008, Average Loss  0.771100, Time  0.251750
2021-09-22 23:25:07.978716 : Epoch  5, Batch    675, Loss  0.776560, Average Loss  0.772095, Time  0.262480
2021-09-22 23:25:09.032434 : Epoch  6, Batch     12, Loss  0.767028, Average Loss  0.771078, Time  0.249282
2021-09-22 23:25:09.940050 : Epoch  5, Batch    676, Loss  0.770629, Average Loss  0.772049, Time  0.260342
2021-09-22 23:25:10.072158 : Epoch  3, Batch    748, Loss  0.870333, Average Loss  0.870863, Time  0.413740
2021-09-22 23:25:10.936427 : Epoch  6, Batch     13, Loss  0.782115, Average Loss  0.771172, Time  0.250566
2021-09-22 23:25:11.944943 : Epoch  5, Batch    677, Loss  0.760441, Average Loss  0.772000, Time  0.259522
2021-09-22 23:25:12.827911 : Epoch  6, Batch     14, Loss  0.775685, Average Loss  0.771183, Time  0.250188
2021-09-22 23:25:13.889003 : Epoch  5, Batch    678, Loss  0.764897, Average Loss  0.771913, Time  0.266374
2021-09-22 23:25:14.735087 : Epoch  6, Batch     15, Loss  0.767648, Average Loss  0.771185, Time  0.249807
2021-09-22 23:25:15.007136 : Epoch  3, Batch    749, Loss  0.878396, Average Loss  0.870984, Time  0.413377
2021-09-22 23:25:15.830376 : Epoch  5, Batch    679, Loss  0.774218, Average Loss  0.771933, Time  0.261731
2021-09-22 23:25:16.611421 : Epoch  6, Batch     16, Loss  0.763286, Average Loss  0.771173, Time  0.248619
2021-09-22 23:25:17.788305 : Epoch  5, Batch    680, Loss  0.766459, Average Loss  0.771860, Time  0.263038
2021-09-22 23:25:18.503996 : Epoch  6, Batch     17, Loss  0.777168, Average Loss  0.771200, Time  0.253495
2021-09-22 23:25:19.738822 : Epoch  5, Batch    681, Loss  0.771907, Average Loss  0.771817, Time  0.256169
2021-09-22 23:25:20.021209 : Epoch  3, Batch    750, Loss  0.876454, Average Loss  0.871048, Time  0.459595
2021-09-22 23:25:20.405564 : Epoch  6, Batch     18, Loss  0.768054, Average Loss  0.771142, Time  0.264852
2021-09-22 23:25:21.695886 : Epoch  5, Batch    682, Loss  0.774754, Average Loss  0.771862, Time  0.255824
2021-09-22 23:25:22.317857 : Epoch  6, Batch     19, Loss  0.771369, Average Loss  0.771150, Time  0.253997
2021-09-22 23:25:23.681169 : Epoch  5, Batch    683, Loss  0.771004, Average Loss  0.771845, Time  0.266132
2021-09-22 23:25:24.203527 : Epoch  6, Batch     20, Loss  0.758660, Average Loss  0.771082, Time  0.252721
2021-09-22 23:25:24.990929 : Epoch  3, Batch    751, Loss  0.877085, Average Loss  0.871094, Time  0.412997
2021-09-22 23:25:25.630546 : Epoch  5, Batch    684, Loss  0.767521, Average Loss  0.771876, Time  0.266651
2021-09-22 23:25:26.102744 : Epoch  6, Batch     21, Loss  0.783847, Average Loss  0.771110, Time  0.252867
2021-09-22 23:25:27.642824 : Epoch  5, Batch    685, Loss  0.777459, Average Loss  0.771918, Time  0.260240
2021-09-22 23:25:27.986630 : Epoch  6, Batch     22, Loss  0.773050, Average Loss  0.771131, Time  0.247954
2021-09-22 23:25:29.596471 : Epoch  5, Batch    686, Loss  0.762859, Average Loss  0.771842, Time  0.260938
2021-09-22 23:25:29.876965 : Epoch  6, Batch     23, Loss  0.769577, Average Loss  0.771096, Time  0.252473
2021-09-22 23:25:29.941102 : Epoch  3, Batch    752, Loss  0.859574, Average Loss  0.870989, Time  0.412810
2021-09-22 23:25:31.604711 : Epoch  5, Batch    687, Loss  0.781371, Average Loss  0.771824, Time  0.314826
2021-09-22 23:25:31.777335 : Epoch  6, Batch     24, Loss  0.768409, Average Loss  0.771112, Time  0.279808
2021-09-22 23:25:33.725838 : Epoch  5, Batch    688, Loss  0.773840, Average Loss  0.771761, Time  0.432635
2021-09-22 23:25:33.815899 : Epoch  6, Batch     25, Loss  0.777864, Average Loss  0.771116, Time  0.385649
2021-09-22 23:25:34.885733 : Epoch  3, Batch    753, Loss  0.853385, Average Loss  0.870899, Time  0.413850
2021-09-22 23:25:35.936944 : Epoch  5, Batch    689, Loss  0.772502, Average Loss  0.771767, Time  0.514833
2021-09-22 23:25:35.979686 : Epoch  6, Batch     26, Loss  0.775387, Average Loss  0.771074, Time  0.481904
2021-09-22 23:25:38.130705 : Epoch  6, Batch     27, Loss  0.768298, Average Loss  0.771029, Time  0.512434
2021-09-22 23:25:38.176481 : Epoch  5, Batch    690, Loss  0.765089, Average Loss  0.771733, Time  0.507524
2021-09-22 23:25:39.839120 : Epoch  3, Batch    754, Loss  0.863663, Average Loss  0.870859, Time  0.413370
2021-09-22 23:25:40.178699 : Epoch  6, Batch     28, Loss  0.779513, Average Loss  0.771003, Time  0.411435
2021-09-22 23:25:40.276836 : Epoch  5, Batch    691, Loss  0.772483, Average Loss  0.771705, Time  0.391471
2021-09-22 23:25:42.174542 : Epoch  6, Batch     29, Loss  0.769218, Average Loss  0.770977, Time  0.364355
2021-09-22 23:25:42.325924 : Epoch  5, Batch    692, Loss  0.780346, Average Loss  0.771772, Time  0.359380
2021-09-22 23:25:44.051386 : Epoch  6, Batch     30, Loss  0.763601, Average Loss  0.771007, Time  0.248712
2021-09-22 23:25:44.290861 : Epoch  5, Batch    693, Loss  0.778057, Average Loss  0.771834, Time  0.278738
2021-09-22 23:25:44.789789 : Epoch  3, Batch    755, Loss  0.872491, Average Loss  0.870936, Time  0.413882
2021-09-22 23:25:45.917158 : Epoch  6, Batch     31, Loss  0.763854, Average Loss  0.770977, Time  0.249840
2021-09-22 23:25:46.258501 : Epoch  5, Batch    694, Loss  0.777110, Average Loss  0.771900, Time  0.265290
2021-09-22 23:25:47.808702 : Epoch  6, Batch     32, Loss  0.768806, Average Loss  0.770929, Time  0.248972
2021-09-22 23:25:48.203314 : Epoch  5, Batch    695, Loss  0.758808, Average Loss  0.771811, Time  0.266067
2021-09-22 23:25:49.703082 : Epoch  6, Batch     33, Loss  0.752243, Average Loss  0.770861, Time  0.262459
2021-09-22 23:25:49.725110 : Epoch  3, Batch    756, Loss  0.861311, Average Loss  0.870950, Time  0.413267
2021-09-22 23:25:50.168748 : Epoch  5, Batch    696, Loss  0.764100, Average Loss  0.771753, Time  0.268876
2021-09-22 23:25:51.596527 : Epoch  6, Batch     34, Loss  0.772799, Average Loss  0.770852, Time  0.250465
2021-09-22 23:25:52.104494 : Epoch  5, Batch    697, Loss  0.778696, Average Loss  0.771759, Time  0.259300
2021-09-22 23:25:53.466628 : Epoch  6, Batch     35, Loss  0.777458, Average Loss  0.770827, Time  0.248428
2021-09-22 23:25:54.027386 : Epoch  5, Batch    698, Loss  0.769077, Average Loss  0.771751, Time  0.255594
2021-09-22 23:25:54.697727 : Epoch  3, Batch    757, Loss  0.865092, Average Loss  0.870837, Time  0.413063
2021-09-22 23:25:55.343971 : Epoch  6, Batch     36, Loss  0.770229, Average Loss  0.770860, Time  0.251119
2021-09-22 23:25:55.982229 : Epoch  5, Batch    699, Loss  0.764843, Average Loss  0.771803, Time  0.263107
2021-09-22 23:25:57.241766 : Epoch  6, Batch     37, Loss  0.771793, Average Loss  0.770798, Time  0.251917
2021-09-22 23:25:57.943647 : Epoch  5, Batch    700, Loss  0.769491, Average Loss  0.771796, Time  0.263540
2021-09-22 23:25:59.154883 : Epoch  6, Batch     38, Loss  0.767894, Average Loss  0.770722, Time  0.252000
2021-09-22 23:25:59.649962 : Epoch  3, Batch    758, Loss  0.880171, Average Loss  0.870899, Time  0.414016
2021-09-22 23:25:59.911636 : Epoch  5, Batch    701, Loss  0.765150, Average Loss  0.771768, Time  0.262004
2021-09-22 23:26:01.045716 : Epoch  6, Batch     39, Loss  0.759597, Average Loss  0.770636, Time  0.251754
2021-09-22 23:26:01.844870 : Epoch  5, Batch    702, Loss  0.770343, Average Loss  0.771820, Time  0.261836
2021-09-22 23:26:02.916911 : Epoch  6, Batch     40, Loss  0.782470, Average Loss  0.770684, Time  0.249256
2021-09-22 23:26:03.810797 : Epoch  5, Batch    703, Loss  0.767238, Average Loss  0.771754, Time  0.259481
2021-09-22 23:26:04.577928 : Epoch  3, Batch    759, Loss  0.882846, Average Loss  0.870985, Time  0.413974
2021-09-22 23:26:04.799394 : Epoch  6, Batch     41, Loss  0.765752, Average Loss  0.770726, Time  0.247993
2021-09-22 23:26:05.762009 : Epoch  5, Batch    704, Loss  0.779099, Average Loss  0.771755, Time  0.270241
2021-09-22 23:26:06.672913 : Epoch  6, Batch     42, Loss  0.779785, Average Loss  0.770789, Time  0.252643
2021-09-22 23:26:07.683071 : Epoch  5, Batch    705, Loss  0.768165, Average Loss  0.771692, Time  0.260899
2021-09-22 23:26:08.582502 : Epoch  6, Batch     43, Loss  0.778797, Average Loss  0.770826, Time  0.256737
2021-09-22 23:26:09.574200 : Epoch  3, Batch    760, Loss  0.890280, Average Loss  0.871056, Time  0.458214
2021-09-22 23:26:09.613017 : Epoch  5, Batch    706, Loss  0.757360, Average Loss  0.771618, Time  0.263448
2021-09-22 23:26:10.457624 : Epoch  6, Batch     44, Loss  0.763485, Average Loss  0.770790, Time  0.248401
2021-09-22 23:26:11.563038 : Epoch  5, Batch    707, Loss  0.762753, Average Loss  0.771595, Time  0.257139
2021-09-22 23:26:12.328842 : Epoch  6, Batch     45, Loss  0.768513, Average Loss  0.770811, Time  0.250504
2021-09-22 23:26:13.538464 : Epoch  5, Batch    708, Loss  0.785603, Average Loss  0.771650, Time  0.271118
2021-09-22 23:26:14.238773 : Epoch  6, Batch     46, Loss  0.767432, Average Loss  0.770757, Time  0.262796
2021-09-22 23:26:14.532998 : Epoch  3, Batch    761, Loss  0.881091, Average Loss  0.871033, Time  0.413586
2021-09-22 23:26:15.505485 : Epoch  5, Batch    709, Loss  0.762553, Average Loss  0.771637, Time  0.260200
2021-09-22 23:26:16.132459 : Epoch  6, Batch     47, Loss  0.769221, Average Loss  0.770710, Time  0.249673
2021-09-22 23:26:17.485289 : Epoch  5, Batch    710, Loss  0.772788, Average Loss  0.771689, Time  0.268663
2021-09-22 23:26:18.028489 : Epoch  6, Batch     48, Loss  0.771871, Average Loss  0.770750, Time  0.257248
2021-09-22 23:26:19.444788 : Epoch  5, Batch    711, Loss  0.750358, Average Loss  0.771536, Time  0.256503
2021-09-22 23:26:19.482045 : Epoch  3, Batch    762, Loss  0.859635, Average Loss  0.870974, Time  0.413602
2021-09-22 23:26:19.919957 : Epoch  6, Batch     49, Loss  0.769016, Average Loss  0.770724, Time  0.260520
2021-09-22 23:26:21.416216 : Epoch  5, Batch    712, Loss  0.765338, Average Loss  0.771542, Time  0.270121
2021-09-22 23:26:21.786494 : Epoch  6, Batch     50, Loss  0.777063, Average Loss  0.770812, Time  0.252072
2021-09-22 23:26:23.372114 : Epoch  5, Batch    713, Loss  0.760973, Average Loss  0.771467, Time  0.264939
2021-09-22 23:26:23.661361 : Epoch  6, Batch     51, Loss  0.769607, Average Loss  0.770832, Time  0.252135
2021-09-22 23:26:24.429912 : Epoch  3, Batch    763, Loss  0.877716, Average Loss  0.871056, Time  0.413135
2021-09-22 23:26:25.304991 : Epoch  5, Batch    714, Loss  0.771056, Average Loss  0.771526, Time  0.258810
2021-09-22 23:26:25.538836 : Epoch  6, Batch     52, Loss  0.766244, Average Loss  0.770927, Time  0.258777
2021-09-22 23:26:27.412939 : Epoch  5, Batch    715, Loss  0.781524, Average Loss  0.771600, Time  0.398257
2021-09-22 23:26:27.521933 : Epoch  6, Batch     53, Loss  0.776697, Average Loss  0.770992, Time  0.364835
2021-09-22 23:26:27.603906 : Epoch  5, Batch    716, Loss  0.737962, Average Loss  0.771399, Time  0.138542
2021-09-22 23:26:29.376912 : Epoch  3, Batch    764, Loss  0.864350, Average Loss  0.870968, Time  0.413265
2021-09-22 23:26:29.515733 : Epoch  6, Batch     54, Loss  0.777597, Average Loss  0.771031, Time  0.373405
2021-09-22 23:26:29.638665 : Epoch  5, Batch    717, Loss  0.781489, Average Loss  0.771442, Time  0.339964
2021-09-22 23:26:31.418483 : Epoch  6, Batch     55, Loss  0.762949, Average Loss  0.770989, Time  0.295084
2021-09-22 23:26:31.619450 : Epoch  5, Batch    718, Loss  0.771742, Average Loss  0.771466, Time  0.298706
2021-09-22 23:26:33.304173 : Epoch  6, Batch     56, Loss  0.768869, Average Loss  0.770988, Time  0.252573
2021-09-22 23:26:33.582028 : Epoch  5, Batch    719, Loss  0.784802, Average Loss  0.771614, Time  0.269012
2021-09-22 23:26:34.319746 : Epoch  3, Batch    765, Loss  0.876603, Average Loss  0.871035, Time  0.413000
2021-09-22 23:26:35.175245 : Epoch  6, Batch     57, Loss  0.767783, Average Loss  0.770954, Time  0.249380
2021-09-22 23:26:35.531608 : Epoch  5, Batch    720, Loss  0.788786, Average Loss  0.771655, Time  0.261909
2021-09-22 23:26:37.063351 : Epoch  6, Batch     58, Loss  0.780987, Average Loss  0.771048, Time  0.252663
2021-09-22 23:26:37.467511 : Epoch  5, Batch    721, Loss  0.778973, Average Loss  0.771631, Time  0.259489
2021-09-22 23:26:38.954363 : Epoch  6, Batch     59, Loss  0.760138, Average Loss  0.771003, Time  0.251689
2021-09-22 23:26:39.304138 : Epoch  3, Batch    766, Loss  0.869411, Average Loss  0.871041, Time  0.422405
2021-09-22 23:26:39.399650 : Epoch  5, Batch    722, Loss  0.770386, Average Loss  0.771587, Time  0.257504
2021-09-22 23:26:40.850500 : Epoch  6, Batch     60, Loss  0.763954, Average Loss  0.770986, Time  0.252847
2021-09-22 23:26:41.360919 : Epoch  5, Batch    723, Loss  0.773399, Average Loss  0.771547, Time  0.261675
2021-09-22 23:26:42.755038 : Epoch  6, Batch     61, Loss  0.771143, Average Loss  0.770978, Time  0.251833
2021-09-22 23:26:44.305852 : Epoch  3, Batch    767, Loss  0.872820, Average Loss  0.871069, Time  0.417760
2021-09-22 23:26:44.649497 : Epoch  6, Batch     62, Loss  0.775476, Average Loss  0.770993, Time  0.248046
2021-09-22 23:26:45.921597 : Epoch  5, Batch    724, Loss  0.778849, Average Loss  0.771650, Time  0.259675
2021-09-22 23:26:46.543217 : Epoch  6, Batch     63, Loss  0.771874, Average Loss  0.771019, Time  0.250884
2021-09-22 23:26:47.907951 : Epoch  5, Batch    725, Loss  0.775272, Average Loss  0.771706, Time  0.271795
2021-09-22 23:26:48.450909 : Epoch  6, Batch     64, Loss  0.773484, Average Loss  0.770992, Time  0.259177
2021-09-22 23:26:49.269176 : Epoch  3, Batch    768, Loss  0.864064, Average Loss  0.871140, Time  0.413011
2021-09-22 23:26:49.857497 : Epoch  5, Batch    726, Loss  0.772842, Average Loss  0.771768, Time  0.261865
2021-09-22 23:26:51.829289 : Epoch  5, Batch    727, Loss  0.780512, Average Loss  0.771827, Time  0.270029
2021-09-22 23:26:52.106521 : Epoch  6, Batch     65, Loss  0.771481, Average Loss  0.770963, Time  0.249264
2021-09-22 23:26:53.804253 : Epoch  5, Batch    728, Loss  0.769070, Average Loss  0.771717, Time  0.258288
2021-09-22 23:26:54.270280 : Epoch  3, Batch    769, Loss  0.866595, Average Loss  0.871123, Time  0.459934
2021-09-22 23:26:55.811590 : Epoch  5, Batch    729, Loss  0.789712, Average Loss  0.771859, Time  0.279658
2021-09-22 23:26:57.762008 : Epoch  5, Batch    730, Loss  0.763913, Average Loss  0.771866, Time  0.261404
2021-09-22 23:26:59.226942 : Epoch  3, Batch    770, Loss  0.863141, Average Loss  0.871044, Time  0.413378
2021-09-22 23:26:59.723675 : Epoch  5, Batch    731, Loss  0.773732, Average Loss  0.771907, Time  0.265261
2021-09-22 23:27:01.672546 : Epoch  5, Batch    732, Loss  0.767858, Average Loss  0.771860, Time  0.259282
2021-09-22 23:27:03.648524 : Epoch  5, Batch    733, Loss  0.772943, Average Loss  0.771915, Time  0.260776
2021-09-22 23:27:04.184007 : Epoch  3, Batch    771, Loss  0.875976, Average Loss  0.871087, Time  0.413061
2021-09-22 23:27:05.682473 : Epoch  5, Batch    734, Loss  0.775510, Average Loss  0.771914, Time  0.333548
2021-09-22 23:27:07.646215 : Epoch  5, Batch    735, Loss  0.780442, Average Loss  0.771994, Time  0.260017
2021-09-22 23:27:09.144130 : Epoch  3, Batch    772, Loss  0.860755, Average Loss  0.871013, Time  0.413990
2021-09-22 23:27:09.594502 : Epoch  5, Batch    736, Loss  0.766100, Average Loss  0.771923, Time  0.264838
2021-09-22 23:27:11.539826 : Epoch  5, Batch    737, Loss  0.783624, Average Loss  0.771952, Time  0.256052
2021-09-22 23:27:13.495262 : Epoch  5, Batch    738, Loss  0.775698, Average Loss  0.771952, Time  0.258098
2021-09-22 23:27:14.102002 : Epoch  3, Batch    773, Loss  0.878267, Average Loss  0.871060, Time  0.415204
2021-09-22 23:27:15.500485 : Epoch  5, Batch    739, Loss  0.769711, Average Loss  0.771937, Time  0.314758
2021-09-22 23:27:17.465162 : Epoch  5, Batch    740, Loss  0.769530, Average Loss  0.771962, Time  0.261109
2021-09-22 23:27:19.178907 : Epoch  3, Batch    774, Loss  0.860256, Average Loss  0.871004, Time  0.413955
2021-09-22 23:27:19.422073 : Epoch  5, Batch    741, Loss  0.776325, Average Loss  0.772003, Time  0.259816
2021-09-22 23:27:21.363022 : Epoch  5, Batch    742, Loss  0.778928, Average Loss  0.772116, Time  0.259718
2021-09-22 23:27:23.315232 : Epoch  5, Batch    743, Loss  0.777289, Average Loss  0.772097, Time  0.265938
2021-09-22 23:27:24.168055 : Epoch  3, Batch    775, Loss  0.875587, Average Loss  0.871027, Time  0.413795
2021-09-22 23:27:25.276234 : Epoch  5, Batch    744, Loss  0.769370, Average Loss  0.772093, Time  0.256353
2021-09-22 23:27:27.301777 : Epoch  5, Batch    745, Loss  0.775378, Average Loss  0.772172, Time  0.330750
2021-09-22 23:27:29.126824 : Epoch  3, Batch    776, Loss  0.868248, Average Loss  0.871033, Time  0.413465
2021-09-22 23:27:29.235023 : Epoch  5, Batch    746, Loss  0.773041, Average Loss  0.772159, Time  0.260707
2021-09-22 23:27:31.179093 : Epoch  5, Batch    747, Loss  0.775256, Average Loss  0.772123, Time  0.266270
2021-09-22 23:27:33.129372 : Epoch  5, Batch    748, Loss  0.767470, Average Loss  0.772142, Time  0.252999
2021-09-22 23:27:34.110806 : Epoch  3, Batch    777, Loss  0.867040, Average Loss  0.871026, Time  0.413418
2021-09-22 23:27:35.043973 : Epoch  5, Batch    749, Loss  0.773078, Average Loss  0.772113, Time  0.255726
2021-09-22 23:27:36.993340 : Epoch  5, Batch    750, Loss  0.765056, Average Loss  0.772035, Time  0.264643
2021-09-22 23:27:38.926953 : Epoch  5, Batch    751, Loss  0.768758, Average Loss  0.772079, Time  0.253192
2021-09-22 23:27:39.093931 : Epoch  3, Batch    778, Loss  0.851969, Average Loss  0.870971, Time  0.463397
2021-09-22 23:27:40.846802 : Epoch  5, Batch    752, Loss  0.773741, Average Loss  0.772066, Time  0.253948
2021-09-22 23:27:44.060795 : Epoch  3, Batch    779, Loss  0.864793, Average Loss  0.870939, Time  0.420078
2021-09-22 23:27:49.024101 : Epoch  3, Batch    780, Loss  0.884726, Average Loss  0.871004, Time  0.414165
2021-09-22 23:27:53.985095 : Epoch  3, Batch    781, Loss  0.877386, Average Loss  0.871018, Time  0.414052
2021-09-22 23:27:58.938122 : Epoch  3, Batch    782, Loss  0.856740, Average Loss  0.870901, Time  0.413942
2021-09-22 23:28:02.322714 : CheckPoint: Validation Loss  0.00033100, Best Loss  0.00030694
2021-09-22 23:28:03.888782 : Epoch  3, Batch    783, Loss  0.878136, Average Loss  0.870934, Time  0.414511
2021-09-22 23:28:04.209520 : Epoch  6, Batch     66, Loss  0.784297, Average Loss  0.771069, Time  0.253623
2021-09-22 23:28:06.078426 : Epoch  6, Batch     67, Loss  0.771548, Average Loss  0.771097, Time  0.248717
2021-09-22 23:28:07.963906 : Epoch  6, Batch     68, Loss  0.772369, Average Loss  0.771125, Time  0.247655
2021-09-22 23:28:08.861761 : Epoch  3, Batch    784, Loss  0.870623, Average Loss  0.870886, Time  0.414183
2021-09-22 23:28:09.833878 : Epoch  6, Batch     69, Loss  0.770176, Average Loss  0.771188, Time  0.248702
2021-09-22 23:28:11.716266 : Epoch  6, Batch     70, Loss  0.755119, Average Loss  0.771174, Time  0.248843
2021-09-22 23:28:13.686001 : Epoch  6, Batch     71, Loss  0.771355, Average Loss  0.771216, Time  0.324727
2021-09-22 23:28:13.813756 : Epoch  3, Batch    785, Loss  0.874215, Average Loss  0.870968, Time  0.413071
2021-09-22 23:28:15.591295 : Epoch  6, Batch     72, Loss  0.762150, Average Loss  0.771163, Time  0.250323
2021-09-22 23:28:17.464756 : Epoch  6, Batch     73, Loss  0.778183, Average Loss  0.771227, Time  0.249003
2021-09-22 23:28:18.760000 : Epoch  3, Batch    786, Loss  0.868298, Average Loss  0.870907, Time  0.414011
2021-09-22 23:28:19.323542 : Epoch  6, Batch     74, Loss  0.765858, Average Loss  0.771180, Time  0.249500
2021-09-22 23:28:21.211151 : Epoch  6, Batch     75, Loss  0.761452, Average Loss  0.771144, Time  0.264102
2021-09-22 23:28:23.093879 : Epoch  6, Batch     76, Loss  0.766206, Average Loss  0.771126, Time  0.254177
2021-09-22 23:28:23.722774 : Epoch  3, Batch    787, Loss  0.871282, Average Loss  0.870975, Time  0.413486
2021-09-22 23:28:25.003344 : Epoch  6, Batch     77, Loss  0.771487, Average Loss  0.771119, Time  0.253987
2021-09-22 23:28:26.886429 : Epoch  6, Batch     78, Loss  0.761118, Average Loss  0.771129, Time  0.251635
2021-09-22 23:28:28.718725 : Epoch  3, Batch    788, Loss  0.869157, Average Loss  0.870958, Time  0.454014
2021-09-22 23:28:28.863861 : Epoch  6, Batch     79, Loss  0.769725, Average Loss  0.771132, Time  0.326684
2021-09-22 23:28:30.766513 : Epoch  6, Batch     80, Loss  0.766746, Average Loss  0.771100, Time  0.295178
2021-09-22 23:28:32.667761 : Epoch  6, Batch     81, Loss  0.762347, Average Loss  0.771053, Time  0.251326
2021-09-22 23:28:33.677815 : Epoch  3, Batch    789, Loss  0.862755, Average Loss  0.870998, Time  0.413240
2021-09-22 23:28:34.546372 : Epoch  6, Batch     82, Loss  0.774600, Average Loss  0.771094, Time  0.251265
2021-09-22 23:28:36.435933 : Epoch  6, Batch     83, Loss  0.777908, Average Loss  0.771112, Time  0.249353
2021-09-22 23:28:38.314813 : Epoch  6, Batch     84, Loss  0.761656, Average Loss  0.771054, Time  0.253146
2021-09-22 23:28:38.620856 : Epoch  3, Batch    790, Loss  0.865861, Average Loss  0.870966, Time  0.413178
2021-09-22 23:28:40.213404 : Epoch  6, Batch     85, Loss  0.773278, Average Loss  0.771085, Time  0.250500
2021-09-22 23:28:42.094165 : Epoch  6, Batch     86, Loss  0.773618, Average Loss  0.771093, Time  0.251830
2021-09-22 23:28:43.570733 : Epoch  3, Batch    791, Loss  0.861304, Average Loss  0.870978, Time  0.413658
2021-09-22 23:28:43.976526 : Epoch  6, Batch     87, Loss  0.772350, Average Loss  0.771107, Time  0.250494
2021-09-22 23:28:45.950817 : Epoch  6, Batch     88, Loss  0.765650, Average Loss  0.771097, Time  0.330849
2021-09-22 23:28:47.876730 : Epoch  6, Batch     89, Loss  0.783461, Average Loss  0.771128, Time  0.251809
2021-09-22 23:28:48.542795 : Epoch  3, Batch    792, Loss  0.883630, Average Loss  0.871075, Time  0.413692
2021-09-22 23:28:49.786290 : Epoch  6, Batch     90, Loss  0.764258, Average Loss  0.771049, Time  0.251744
2021-09-22 23:28:51.681335 : Epoch  6, Batch     91, Loss  0.777281, Average Loss  0.771109, Time  0.249563
2021-09-22 23:28:53.288791 : CheckPoint: Validation Loss  0.00032072, Best Loss  0.00030514
2021-09-22 23:28:53.516957 : Epoch  3, Batch    793, Loss  0.867131, Average Loss  0.871013, Time  0.414235
2021-09-22 23:28:53.571538 : Epoch  6, Batch     92, Loss  0.755104, Average Loss  0.771023, Time  0.259828
2021-09-22 23:28:55.228064 : Epoch  5, Batch    753, Loss  0.755123, Average Loss  0.771962, Time  0.256953
2021-09-22 23:28:55.471764 : Epoch  6, Batch     93, Loss  0.760483, Average Loss  0.770960, Time  0.255346
2021-09-22 23:28:57.260424 : Epoch  5, Batch    754, Loss  0.776390, Average Loss  0.771955, Time  0.351652
2021-09-22 23:28:57.406762 : Epoch  6, Batch     94, Loss  0.764495, Average Loss  0.770943, Time  0.300982
2021-09-22 23:28:58.459992 : Epoch  3, Batch    794, Loss  0.881267, Average Loss  0.871074, Time  0.414681
2021-09-22 23:28:59.383893 : Epoch  5, Batch    755, Loss  0.768648, Average Loss  0.771942, Time  0.452487
2021-09-22 23:28:59.459284 : Epoch  6, Batch     95, Loss  0.763534, Average Loss  0.770889, Time  0.419706
2021-09-22 23:29:01.607848 : Epoch  5, Batch    756, Loss  0.766196, Average Loss  0.771909, Time  0.516394
2021-09-22 23:29:01.640569 : Epoch  6, Batch     96, Loss  0.769230, Average Loss  0.770890, Time  0.494130
2021-09-22 23:29:03.437943 : Epoch  3, Batch    795, Loss  0.864613, Average Loss  0.871052, Time  0.413690
2021-09-22 23:29:03.786017 : Epoch  6, Batch     97, Loss  0.776305, Average Loss  0.770948, Time  0.505252
2021-09-22 23:29:03.813622 : Epoch  5, Batch    757, Loss  0.765331, Average Loss  0.771832, Time  0.471553
2021-09-22 23:29:05.947712 : Epoch  6, Batch     98, Loss  0.773340, Average Loss  0.770953, Time  0.496627
2021-09-22 23:29:05.981211 : Epoch  5, Batch    758, Loss  0.779248, Average Loss  0.771831, Time  0.482090
2021-09-22 23:29:08.053988 : Epoch  6, Batch     99, Loss  0.775182, Average Loss  0.770948, Time  0.473150
2021-09-22 23:29:08.106929 : Epoch  5, Batch    759, Loss  0.769825, Average Loss  0.771827, Time  0.449939
2021-09-22 23:29:08.403837 : Epoch  3, Batch    796, Loss  0.880843, Average Loss  0.871055, Time  0.415875
2021-09-22 23:29:10.181974 : Epoch  6, Batch    100, Loss  0.761088, Average Loss  0.770857, Time  0.474886
2021-09-22 23:29:10.234267 : Epoch  5, Batch    760, Loss  0.766436, Average Loss  0.771842, Time  0.442958
2021-09-22 23:29:12.267237 : Epoch  6, Batch    101, Loss  0.774402, Average Loss  0.770847, Time  0.446506
2021-09-22 23:29:12.344709 : Epoch  5, Batch    761, Loss  0.772370, Average Loss  0.771868, Time  0.424488
2021-09-22 23:29:13.410106 : Epoch  3, Batch    797, Loss  0.865742, Average Loss  0.871074, Time  0.462090
2021-09-22 23:29:14.306064 : Epoch  6, Batch    102, Loss  0.777268, Average Loss  0.770919, Time  0.406325
2021-09-22 23:29:14.409472 : Epoch  5, Batch    762, Loss  0.771836, Average Loss  0.771829, Time  0.374881
2021-09-22 23:29:16.362404 : Epoch  6, Batch    103, Loss  0.762660, Average Loss  0.770838, Time  0.418331
2021-09-22 23:29:16.451163 : Epoch  5, Batch    763, Loss  0.782317, Average Loss  0.771900, Time  0.387379
2021-09-22 23:29:18.367847 : Epoch  3, Batch    798, Loss  0.857112, Average Loss  0.871000, Time  0.413169
2021-09-22 23:29:18.392094 : Epoch  6, Batch    104, Loss  0.766187, Average Loss  0.770793, Time  0.392659
2021-09-22 23:29:18.503120 : Epoch  5, Batch    764, Loss  0.767000, Average Loss  0.771962, Time  0.359332
2021-09-22 23:29:20.475771 : Epoch  6, Batch    105, Loss  0.763946, Average Loss  0.770742, Time  0.418746
2021-09-22 23:29:20.571422 : Epoch  5, Batch    765, Loss  0.773551, Average Loss  0.771975, Time  0.380354
2021-09-22 23:29:22.539811 : Epoch  6, Batch    106, Loss  0.776198, Average Loss  0.770803, Time  0.418147
2021-09-22 23:29:22.634485 : Epoch  5, Batch    766, Loss  0.775261, Average Loss  0.771979, Time  0.393416
2021-09-22 23:29:23.331746 : Epoch  3, Batch    799, Loss  0.878548, Average Loss  0.871014, Time  0.413983
2021-09-22 23:29:24.582672 : Epoch  6, Batch    107, Loss  0.765369, Average Loss  0.770782, Time  0.400482
2021-09-22 23:29:24.688360 : Epoch  5, Batch    767, Loss  0.764015, Average Loss  0.771965, Time  0.370296
2021-09-22 23:29:26.612462 : Epoch  6, Batch    108, Loss  0.768897, Average Loss  0.770735, Time  0.384896
2021-09-22 23:29:26.724976 : Epoch  5, Batch    768, Loss  0.770117, Average Loss  0.771957, Time  0.354175
2021-09-22 23:29:28.312890 : Epoch  3, Batch    800, Loss  0.879319, Average Loss  0.871038, Time  0.414803
2021-09-22 23:29:28.652014 : Epoch  6, Batch    109, Loss  0.772146, Average Loss  0.770747, Time  0.391720
2021-09-22 23:29:28.773356 : Epoch  5, Batch    769, Loss  0.767750, Average Loss  0.771890, Time  0.375204
2021-09-22 23:29:30.648130 : Epoch  6, Batch    110, Loss  0.775224, Average Loss  0.770803, Time  0.353384
2021-09-22 23:29:30.794372 : Epoch  5, Batch    770, Loss  0.770032, Average Loss  0.771929, Time  0.333245
2021-09-22 23:29:32.600313 : Epoch  6, Batch    111, Loss  0.763958, Average Loss  0.770779, Time  0.307639
2021-09-22 23:29:32.781014 : Epoch  5, Batch    771, Loss  0.769732, Average Loss  0.771898, Time  0.297033
2021-09-22 23:29:33.260945 : Epoch  3, Batch    801, Loss  0.863498, Average Loss  0.870938, Time  0.412972
2021-09-22 23:29:34.482777 : Epoch  6, Batch    112, Loss  0.772944, Average Loss  0.770767, Time  0.248819
2021-09-22 23:29:34.743046 : Epoch  5, Batch    772, Loss  0.790451, Average Loss  0.771938, Time  0.269520
2021-09-22 23:29:36.372651 : Epoch  6, Batch    113, Loss  0.781376, Average Loss  0.770822, Time  0.248485
2021-09-22 23:29:36.711857 : Epoch  5, Batch    773, Loss  0.779364, Average Loss  0.771889, Time  0.268349
2021-09-22 23:29:38.225849 : Epoch  3, Batch    802, Loss  0.875182, Average Loss  0.870996, Time  0.413684
2021-09-22 23:29:38.262738 : Epoch  6, Batch    114, Loss  0.766409, Average Loss  0.770823, Time  0.255770
2021-09-22 23:29:38.664167 : Epoch  5, Batch    774, Loss  0.776828, Average Loss  0.771911, Time  0.256768
2021-09-22 23:29:40.143563 : Epoch  6, Batch    115, Loss  0.776950, Average Loss  0.770834, Time  0.248401
2021-09-22 23:29:40.605203 : Epoch  5, Batch    775, Loss  0.762234, Average Loss  0.771842, Time  0.265249
2021-09-22 23:29:42.026617 : Epoch  6, Batch    116, Loss  0.772696, Average Loss  0.770874, Time  0.249732
2021-09-22 23:29:42.565561 : Epoch  5, Batch    776, Loss  0.772745, Average Loss  0.771874, Time  0.257130
2021-09-22 23:29:43.187743 : Epoch  3, Batch    803, Loss  0.861100, Average Loss  0.870990, Time  0.413096
2021-09-22 23:29:43.923773 : Epoch  6, Batch    117, Loss  0.773644, Average Loss  0.770885, Time  0.251315
2021-09-22 23:29:44.505226 : Epoch  5, Batch    777, Loss  0.776998, Average Loss  0.771941, Time  0.271551
2021-09-22 23:29:45.846763 : Epoch  6, Batch    118, Loss  0.773202, Average Loss  0.770934, Time  0.250974
2021-09-22 23:29:46.450509 : Epoch  5, Batch    778, Loss  0.781753, Average Loss  0.771960, Time  0.258121
2021-09-22 23:29:47.735155 : Epoch  6, Batch    119, Loss  0.758186, Average Loss  0.770866, Time  0.248585
2021-09-22 23:29:48.135987 : Epoch  3, Batch    804, Loss  0.871253, Average Loss  0.871041, Time  0.413035
2021-09-22 23:29:48.411062 : Epoch  5, Batch    779, Loss  0.772582, Average Loss  0.771975, Time  0.264897
2021-09-22 23:29:49.647601 : Epoch  6, Batch    120, Loss  0.770296, Average Loss  0.770902, Time  0.254561
2021-09-22 23:29:50.369530 : Epoch  5, Batch    780, Loss  0.766565, Average Loss  0.771959, Time  0.261980
2021-09-22 23:29:51.535497 : Epoch  6, Batch    121, Loss  0.768817, Average Loss  0.770897, Time  0.251279
2021-09-22 23:29:52.302868 : Epoch  5, Batch    781, Loss  0.765632, Average Loss  0.771850, Time  0.260480
2021-09-22 23:29:53.094866 : Epoch  3, Batch    805, Loss  0.856786, Average Loss  0.871023, Time  0.414542
2021-09-22 23:29:53.425930 : Epoch  6, Batch    122, Loss  0.760631, Average Loss  0.770877, Time  0.255679
2021-09-22 23:29:54.232163 : Epoch  5, Batch    782, Loss  0.770076, Average Loss  0.771871, Time  0.255404
2021-09-22 23:29:55.299028 : Epoch  6, Batch    123, Loss  0.764063, Average Loss  0.770837, Time  0.250581
2021-09-22 23:29:56.169711 : Epoch  5, Batch    783, Loss  0.768671, Average Loss  0.771846, Time  0.260481
2021-09-22 23:29:57.193726 : Epoch  6, Batch    124, Loss  0.779107, Average Loss  0.770860, Time  0.250907
2021-09-22 23:29:58.101786 : Epoch  3, Batch    806, Loss  0.867988, Average Loss  0.870878, Time  0.454226
2021-09-22 23:29:58.105427 : Epoch  5, Batch    784, Loss  0.772036, Average Loss  0.771926, Time  0.256414
2021-09-22 23:29:59.080254 : Epoch  6, Batch    125, Loss  0.779631, Average Loss  0.770930, Time  0.251493
2021-09-22 23:30:00.073228 : Epoch  5, Batch    785, Loss  0.772873, Average Loss  0.771934, Time  0.262699
2021-09-22 23:30:00.968451 : Epoch  6, Batch    126, Loss  0.775610, Average Loss  0.770983, Time  0.250539
2021-09-22 23:30:02.014491 : Epoch  5, Batch    786, Loss  0.761759, Average Loss  0.771831, Time  0.262917
2021-09-22 23:30:02.874373 : Epoch  6, Batch    127, Loss  0.767698, Average Loss  0.771033, Time  0.250676
2021-09-22 23:30:03.058082 : Epoch  3, Batch    807, Loss  0.874773, Average Loss  0.870914, Time  0.414416
2021-09-22 23:30:03.990629 : Epoch  5, Batch    787, Loss  0.755819, Average Loss  0.771781, Time  0.290381
2021-09-22 23:30:04.032645 : Saving Model after 5-th Epoch.
2021-09-22 23:30:04.763886 : Epoch  6, Batch    128, Loss  0.770684, Average Loss  0.771042, Time  0.248881
2021-09-22 23:30:04.941660 : Epoch Finished.
2021-09-22 23:30:06.802036 : Epoch  6, Batch    129, Loss  0.772551, Average Loss  0.771079, Time  0.249986
2021-09-22 23:30:07.372498 : Batch Shuffled
2021-09-22 23:30:08.017098 : Epoch  3, Batch    808, Loss  0.879450, Average Loss  0.870967, Time  0.413076
2021-09-22 23:30:08.691431 : Epoch  6, Batch    130, Loss  0.761738, Average Loss  0.771029, Time  0.250173
2021-09-22 23:30:09.324871 : Epoch  6, Batch      1, Loss  0.771377, Average Loss  0.771720, Time  0.267954
2021-09-22 23:30:10.590886 : Epoch  6, Batch    131, Loss  0.774364, Average Loss  0.771093, Time  0.250081
2021-09-22 23:30:11.293100 : Epoch  6, Batch      2, Loss  0.761524, Average Loss  0.771689, Time  0.268302
2021-09-22 23:30:12.517767 : Epoch  6, Batch    132, Loss  0.766119, Average Loss  0.771068, Time  0.253949
2021-09-22 23:30:12.981945 : Epoch  3, Batch    809, Loss  0.885115, Average Loss  0.871086, Time  0.415230
2021-09-22 23:30:13.240075 : Epoch  6, Batch      3, Loss  0.778882, Average Loss  0.771738, Time  0.256002
2021-09-22 23:30:14.434614 : Epoch  6, Batch    133, Loss  0.775117, Average Loss  0.771091, Time  0.251551
2021-09-22 23:30:15.167977 : Epoch  6, Batch      4, Loss  0.763893, Average Loss  0.771642, Time  0.257388
2021-09-22 23:30:16.330956 : Epoch  6, Batch    134, Loss  0.767701, Average Loss  0.771093, Time  0.249105
2021-09-22 23:30:17.120713 : Epoch  6, Batch      5, Loss  0.779955, Average Loss  0.771709, Time  0.265550
2021-09-22 23:30:17.946833 : Epoch  3, Batch    810, Loss  0.879237, Average Loss  0.871115, Time  0.416375
2021-09-22 23:30:18.226070 : Epoch  6, Batch    135, Loss  0.766336, Average Loss  0.771053, Time  0.253749
2021-09-22 23:30:19.090614 : Epoch  6, Batch      6, Loss  0.775084, Average Loss  0.771701, Time  0.271748
2021-09-22 23:30:21.044891 : Epoch  6, Batch      7, Loss  0.774847, Average Loss  0.771654, Time  0.257866
2021-09-22 23:30:21.881415 : Epoch  6, Batch    136, Loss  0.768002, Average Loss  0.771062, Time  0.248770
2021-09-22 23:30:22.918735 : Epoch  3, Batch    811, Loss  0.868944, Average Loss  0.871130, Time  0.413298
2021-09-22 23:30:22.993117 : Epoch  6, Batch      8, Loss  0.778156, Average Loss  0.771674, Time  0.260588
2021-09-22 23:30:23.768149 : Epoch  6, Batch    137, Loss  0.782918, Average Loss  0.771136, Time  0.249942
2021-09-22 23:30:24.935726 : Epoch  6, Batch      9, Loss  0.768495, Average Loss  0.771616, Time  0.258531
2021-09-22 23:30:25.663225 : Epoch  6, Batch    138, Loss  0.762612, Average Loss  0.771127, Time  0.251932
2021-09-22 23:30:26.893648 : Epoch  6, Batch     10, Loss  0.757919, Average Loss  0.771563, Time  0.259752
2021-09-22 23:30:27.557161 : Epoch  6, Batch    139, Loss  0.766644, Average Loss  0.771086, Time  0.249223
2021-09-22 23:30:27.892987 : Epoch  3, Batch    812, Loss  0.867787, Average Loss  0.871143, Time  0.413528
2021-09-22 23:30:28.840668 : Epoch  6, Batch     11, Loss  0.761603, Average Loss  0.771499, Time  0.257704
2021-09-22 23:30:29.447574 : Epoch  6, Batch    140, Loss  0.766065, Average Loss  0.771040, Time  0.250651
2021-09-22 23:30:30.801829 : Epoch  6, Batch     12, Loss  0.773802, Average Loss  0.771478, Time  0.262456
2021-09-22 23:30:31.328242 : Epoch  6, Batch    141, Loss  0.777086, Average Loss  0.771009, Time  0.248357
2021-09-22 23:30:32.766065 : Epoch  6, Batch     13, Loss  0.775856, Average Loss  0.771486, Time  0.263476
2021-09-22 23:30:32.846813 : Epoch  3, Batch    813, Loss  0.877074, Average Loss  0.871142, Time  0.413107
2021-09-22 23:30:33.218829 : Epoch  6, Batch    142, Loss  0.771752, Average Loss  0.770975, Time  0.250147
2021-09-22 23:30:34.729172 : Epoch  6, Batch     14, Loss  0.771548, Average Loss  0.771480, Time  0.282535
2021-09-22 23:30:35.122751 : Epoch  6, Batch    143, Loss  0.763533, Average Loss  0.770927, Time  0.254411
2021-09-22 23:30:36.663139 : Epoch  6, Batch     15, Loss  0.769174, Average Loss  0.771430, Time  0.263870
2021-09-22 23:30:36.994086 : Epoch  6, Batch    144, Loss  0.782698, Average Loss  0.770982, Time  0.252700
2021-09-22 23:30:37.821794 : Epoch  3, Batch    814, Loss  0.871269, Average Loss  0.871113, Time  0.413698
2021-09-22 23:30:38.635786 : Epoch  6, Batch     16, Loss  0.766736, Average Loss  0.771415, Time  0.260255
2021-09-22 23:30:38.873071 : Epoch  6, Batch    145, Loss  0.770767, Average Loss  0.770965, Time  0.255808
2021-09-22 23:30:40.714807 : Epoch  6, Batch     17, Loss  0.777163, Average Loss  0.771474, Time  0.375525
2021-09-22 23:30:40.839020 : Epoch  6, Batch    146, Loss  0.765213, Average Loss  0.770914, Time  0.334030
2021-09-22 23:30:42.764009 : Epoch  3, Batch    815, Loss  0.875451, Average Loss  0.871090, Time  0.413142
2021-09-22 23:30:42.945862 : Epoch  6, Batch    147, Loss  0.770868, Average Loss  0.770865, Time  0.454762
2021-09-22 23:30:42.971484 : Epoch  6, Batch     18, Loss  0.775075, Average Loss  0.771486, Time  0.506364
2021-09-22 23:30:45.019656 : Epoch  6, Batch    148, Loss  0.777800, Average Loss  0.770916, Time  0.439184
2021-09-22 23:30:45.093620 : Epoch  6, Batch     19, Loss  0.765167, Average Loss  0.771472, Time  0.409151
2021-09-22 23:30:47.040567 : Epoch  6, Batch    149, Loss  0.787037, Average Loss  0.770967, Time  0.382972
2021-09-22 23:30:47.162035 : Epoch  6, Batch     20, Loss  0.778732, Average Loss  0.771488, Time  0.359375
2021-09-22 23:30:47.772028 : Epoch  3, Batch    816, Loss  0.869753, Average Loss  0.871077, Time  0.456553
2021-09-22 23:30:49.007962 : Epoch  6, Batch    150, Loss  0.772804, Average Loss  0.770985, Time  0.328618
2021-09-22 23:30:49.170505 : Epoch  6, Batch     21, Loss  0.767163, Average Loss  0.771358, Time  0.316486
2021-09-22 23:30:50.894357 : Epoch  6, Batch    151, Loss  0.771851, Average Loss  0.771043, Time  0.249110
2021-09-22 23:30:51.063784 : Epoch  6, Batch    152, Loss  0.781219, Average Loss  0.771075, Time  0.127074
2021-09-22 23:30:51.182841 : Epoch  6, Batch     22, Loss  0.779440, Average Loss  0.771378, Time  0.312023
2021-09-22 23:30:52.739737 : Epoch  3, Batch    817, Loss  0.880847, Average Loss  0.871166, Time  0.413129
2021-09-22 23:30:53.043277 : Epoch  6, Batch    153, Loss  0.769047, Average Loss  0.771045, Time  0.330933
2021-09-22 23:30:53.199360 : Epoch  6, Batch     23, Loss  0.768042, Average Loss  0.771390, Time  0.312931
2021-09-22 23:30:54.931502 : Epoch  6, Batch    154, Loss  0.774195, Average Loss  0.771048, Time  0.255325
2021-09-22 23:30:55.169006 : Epoch  6, Batch     24, Loss  0.778055, Average Loss  0.771452, Time  0.276627
2021-09-22 23:30:56.808906 : Epoch  6, Batch    155, Loss  0.773814, Average Loss  0.771042, Time  0.250915
2021-09-22 23:30:57.101094 : Epoch  6, Batch     25, Loss  0.790160, Average Loss  0.771497, Time  0.253780
2021-09-22 23:30:57.719789 : Epoch  3, Batch    818, Loss  0.877902, Average Loss  0.871159, Time  0.414742
2021-09-22 23:30:58.692184 : Epoch  6, Batch    156, Loss  0.772088, Average Loss  0.770999, Time  0.249211
2021-09-22 23:30:59.045823 : Epoch  6, Batch     26, Loss  0.775036, Average Loss  0.771461, Time  0.256130
2021-09-22 23:31:00.570815 : Epoch  6, Batch    157, Loss  0.779633, Average Loss  0.771055, Time  0.250542
2021-09-22 23:31:00.981413 : Epoch  6, Batch     27, Loss  0.782959, Average Loss  0.771462, Time  0.258492
2021-09-22 23:31:02.460280 : Epoch  6, Batch    158, Loss  0.778260, Average Loss  0.771093, Time  0.248061
2021-09-22 23:31:02.680837 : Epoch  3, Batch    819, Loss  0.853188, Average Loss  0.871085, Time  0.413391
2021-09-22 23:31:02.932945 : Epoch  6, Batch     28, Loss  0.774886, Average Loss  0.771424, Time  0.259036
2021-09-22 23:31:04.347423 : Epoch  6, Batch    159, Loss  0.773190, Average Loss  0.771073, Time  0.255784
2021-09-22 23:31:04.882129 : Epoch  6, Batch     29, Loss  0.775490, Average Loss  0.771450, Time  0.259767
2021-09-22 23:31:06.233786 : Epoch  6, Batch    160, Loss  0.780369, Average Loss  0.771084, Time  0.248732
2021-09-22 23:31:06.826812 : Epoch  6, Batch     30, Loss  0.761027, Average Loss  0.771379, Time  0.264302
2021-09-22 23:31:07.627111 : Epoch  3, Batch    820, Loss  0.859380, Average Loss  0.871027, Time  0.414208
2021-09-22 23:31:08.113815 : Epoch  6, Batch    161, Loss  0.765011, Average Loss  0.770980, Time  0.253582
2021-09-22 23:31:08.775384 : Epoch  6, Batch     31, Loss  0.772164, Average Loss  0.771398, Time  0.267443
2021-09-22 23:31:09.977352 : Epoch  6, Batch    162, Loss  0.766856, Average Loss  0.770956, Time  0.251264
2021-09-22 23:31:10.733524 : Epoch  6, Batch     32, Loss  0.795250, Average Loss  0.771500, Time  0.254847
2021-09-22 23:31:11.841920 : Epoch  6, Batch    163, Loss  0.779707, Average Loss  0.770977, Time  0.249212
2021-09-22 23:31:12.591998 : Epoch  3, Batch    821, Loss  0.874140, Average Loss  0.870948, Time  0.414253
2021-09-22 23:31:12.677305 : Epoch  6, Batch     33, Loss  0.764045, Average Loss  0.771501, Time  0.268322
2021-09-22 23:31:13.727060 : Epoch  6, Batch    164, Loss  0.771067, Average Loss  0.770942, Time  0.250912
2021-09-22 23:31:14.613467 : Epoch  6, Batch     34, Loss  0.782541, Average Loss  0.771565, Time  0.256232
2021-09-22 23:31:15.621993 : Epoch  6, Batch    165, Loss  0.768853, Average Loss  0.770924, Time  0.250432
2021-09-22 23:31:16.585028 : Epoch  6, Batch     35, Loss  0.785468, Average Loss  0.771625, Time  0.269605
2021-09-22 23:31:17.558739 : Epoch  3, Batch    822, Loss  0.872881, Average Loss  0.870947, Time  0.413967
2021-09-22 23:31:18.539910 : Epoch  6, Batch     36, Loss  0.775903, Average Loss  0.771706, Time  0.253944
2021-09-22 23:31:20.479446 : Epoch  6, Batch     37, Loss  0.765106, Average Loss  0.771631, Time  0.256080
2021-09-22 23:31:22.525360 : Epoch  6, Batch     38, Loss  0.775593, Average Loss  0.771627, Time  0.336326
2021-09-22 23:31:24.518510 : Epoch  6, Batch     39, Loss  0.763835, Average Loss  0.771604, Time  0.265815
2021-09-22 23:31:26.484230 : Epoch  6, Batch     40, Loss  0.767219, Average Loss  0.771622, Time  0.260745
2021-09-22 23:31:27.488039 : Epoch  3, Batch    824, Loss  0.852621, Average Loss  0.870824, Time  0.413403
2021-09-22 23:31:28.421622 : Epoch  6, Batch     41, Loss  0.765734, Average Loss  0.771598, Time  0.256813
2021-09-22 23:31:30.352732 : Epoch  6, Batch     42, Loss  0.766608, Average Loss  0.771545, Time  0.252749
2021-09-22 23:31:32.292573 : Epoch  6, Batch     43, Loss  0.761023, Average Loss  0.771539, Time  0.266436
2021-09-22 23:31:32.482755 : Epoch  3, Batch    825, Loss  0.865451, Average Loss  0.870804, Time  0.451828
2021-09-22 23:31:34.252631 : Epoch  6, Batch     44, Loss  0.779445, Average Loss  0.771614, Time  0.263189
2021-09-22 23:31:36.213637 : Epoch  6, Batch     45, Loss  0.747509, Average Loss  0.771512, Time  0.263686
2021-09-22 23:31:37.433970 : Epoch  3, Batch    826, Loss  0.865250, Average Loss  0.870723, Time  0.413005
2021-09-22 23:31:38.172600 : Epoch  6, Batch     46, Loss  0.774551, Average Loss  0.771505, Time  0.260371
2021-09-22 23:31:40.153916 : Epoch  6, Batch     47, Loss  0.766314, Average Loss  0.771440, Time  0.269868
2021-09-22 23:31:42.109843 : Epoch  6, Batch     48, Loss  0.783702, Average Loss  0.771515, Time  0.258998
2021-09-22 23:31:42.401810 : Epoch  3, Batch    827, Loss  0.867841, Average Loss  0.870693, Time  0.413850
2021-09-22 23:31:44.129412 : Epoch  6, Batch     49, Loss  0.775649, Average Loss  0.771558, Time  0.330311
2021-09-22 23:31:46.069796 : Epoch  6, Batch     50, Loss  0.766739, Average Loss  0.771560, Time  0.260917
2021-09-22 23:31:47.342164 : Epoch  3, Batch    828, Loss  0.876621, Average Loss  0.870787, Time  0.413486
2021-09-22 23:31:48.022873 : Epoch  6, Batch     51, Loss  0.769329, Average Loss  0.771580, Time  0.263577
2021-09-22 23:31:50.009493 : Epoch  6, Batch     52, Loss  0.759356, Average Loss  0.771554, Time  0.261253
2021-09-22 23:31:51.962220 : Epoch  6, Batch     53, Loss  0.776242, Average Loss  0.771588, Time  0.255247
2021-09-22 23:31:52.293729 : Epoch  3, Batch    829, Loss  0.880187, Average Loss  0.870832, Time  0.413158
2021-09-22 23:31:53.996941 : Epoch  6, Batch     54, Loss  0.768170, Average Loss  0.771586, Time  0.327166
2021-09-22 23:31:55.972425 : Epoch  6, Batch     55, Loss  0.779113, Average Loss  0.771620, Time  0.260592
2021-09-22 23:31:57.266893 : Epoch  3, Batch    830, Loss  0.878589, Average Loss  0.870825, Time  0.423152
2021-09-22 23:31:57.945485 : Epoch  6, Batch     56, Loss  0.766364, Average Loss  0.771595, Time  0.266854
2021-09-22 23:31:59.900268 : Epoch  6, Batch     57, Loss  0.774579, Average Loss  0.771613, Time  0.256709
2021-09-22 23:32:01.848400 : Epoch  6, Batch     58, Loss  0.763224, Average Loss  0.771588, Time  0.260580
2021-09-22 23:32:02.244003 : Epoch  3, Batch    831, Loss  0.879524, Average Loss  0.870792, Time  0.414248
2021-09-22 23:32:03.867345 : Epoch  6, Batch     59, Loss  0.761912, Average Loss  0.771497, Time  0.330757
2021-09-22 23:32:05.836702 : Epoch  6, Batch     60, Loss  0.785367, Average Loss  0.771478, Time  0.266530
2021-09-22 23:32:07.201027 : Epoch  3, Batch    832, Loss  0.860803, Average Loss  0.870688, Time  0.413882
2021-09-22 23:32:07.781972 : Epoch  6, Batch     61, Loss  0.768173, Average Loss  0.771523, Time  0.257770
2021-09-22 23:32:09.713139 : Epoch  6, Batch     62, Loss  0.770875, Average Loss  0.771512, Time  0.256427
2021-09-22 23:32:11.671187 : Epoch  6, Batch     63, Loss  0.775444, Average Loss  0.771509, Time  0.255790
2021-09-22 23:32:12.158870 : Epoch  3, Batch    833, Loss  0.872193, Average Loss  0.870690, Time  0.413570
2021-09-22 23:32:13.709491 : Epoch  6, Batch     64, Loss  0.770214, Average Loss  0.771423, Time  0.331877
2021-09-22 23:32:17.157105 : Epoch  3, Batch    834, Loss  0.884767, Average Loss  0.870687, Time  0.454850
2021-09-22 23:32:17.894843 : Epoch  6, Batch     65, Loss  0.765999, Average Loss  0.771460, Time  0.256621
2021-09-22 23:32:22.135329 : Epoch  3, Batch    835, Loss  0.874631, Average Loss  0.870703, Time  0.413720
2021-09-22 23:32:25.822717 : CheckPoint: Validation Loss  0.00032894, Best Loss  0.00030694
2021-09-22 23:32:27.095016 : Epoch  3, Batch    836, Loss  0.869733, Average Loss  0.870718, Time  0.413419
2021-09-22 23:32:27.715851 : Epoch  6, Batch    166, Loss  0.770977, Average Loss  0.770948, Time  0.259170
2021-09-22 23:32:29.602266 : Epoch  6, Batch    167, Loss  0.775795, Average Loss  0.771008, Time  0.255979
2021-09-22 23:32:31.477747 : Epoch  6, Batch    168, Loss  0.769525, Average Loss  0.771013, Time  0.251346
2021-09-22 23:32:32.049092 : Epoch  3, Batch    837, Loss  0.886532, Average Loss  0.870806, Time  0.421560
2021-09-22 23:32:33.349273 : Epoch  6, Batch    169, Loss  0.770947, Average Loss  0.771001, Time  0.248646
2021-09-22 23:32:35.226398 : Epoch  6, Batch    170, Loss  0.786746, Average Loss  0.771078, Time  0.251234
2021-09-22 23:32:37.047962 : Epoch  3, Batch    838, Loss  0.856490, Average Loss  0.870772, Time  0.414282
2021-09-22 23:32:37.108074 : Epoch  6, Batch    171, Loss  0.791055, Average Loss  0.771151, Time  0.249115
2021-09-22 23:32:38.964723 : Epoch  6, Batch    172, Loss  0.770034, Average Loss  0.771158, Time  0.251136
2021-09-22 23:32:40.910868 : Epoch  6, Batch    173, Loss  0.773070, Average Loss  0.771110, Time  0.326598
2021-09-22 23:32:42.016748 : Epoch  3, Batch    839, Loss  0.873270, Average Loss  0.870829, Time  0.412893
2021-09-22 23:32:42.781708 : Epoch  6, Batch    174, Loss  0.762110, Average Loss  0.771039, Time  0.249426
2021-09-22 23:32:44.663184 : Epoch  6, Batch    175, Loss  0.776432, Average Loss  0.771060, Time  0.259337
2021-09-22 23:32:46.547848 : Epoch  6, Batch    176, Loss  0.768120, Average Loss  0.771031, Time  0.256642
2021-09-22 23:32:46.974991 : Epoch  3, Batch    840, Loss  0.857804, Average Loss  0.870786, Time  0.413201
2021-09-22 23:32:48.414902 : Epoch  6, Batch    177, Loss  0.777249, Average Loss  0.771008, Time  0.249124
2021-09-22 23:32:50.292773 : Epoch  6, Batch    178, Loss  0.775381, Average Loss  0.771048, Time  0.248824
2021-09-22 23:32:51.915017 : Epoch  3, Batch    841, Loss  0.863818, Average Loss  0.870785, Time  0.413011
2021-09-22 23:32:52.185213 : Epoch  6, Batch    179, Loss  0.776353, Average Loss  0.771080, Time  0.252840
2021-09-22 23:32:54.063460 : Epoch  6, Batch    180, Loss  0.780615, Average Loss  0.771101, Time  0.248747
2021-09-22 23:32:55.947157 : Epoch  6, Batch    181, Loss  0.773135, Average Loss  0.771126, Time  0.250842
2021-09-22 23:32:56.899939 : Epoch  3, Batch    842, Loss  0.862947, Average Loss  0.870760, Time  0.413580
2021-09-22 23:32:57.876746 : Epoch  6, Batch    182, Loss  0.761606, Average Loss  0.771076, Time  0.323171
2021-09-22 23:32:59.769112 : Epoch  6, Batch    183, Loss  0.769808, Average Loss  0.771116, Time  0.256582
2021-09-22 23:33:01.651517 : Epoch  6, Batch    184, Loss  0.788422, Average Loss  0.771192, Time  0.247887
2021-09-22 23:33:01.867828 : Epoch  3, Batch    843, Loss  0.876755, Average Loss  0.870770, Time  0.414347
2021-09-22 23:33:03.556839 : Epoch  6, Batch    185, Loss  0.775038, Average Loss  0.771236, Time  0.249990
2021-09-22 23:33:05.447493 : Epoch  6, Batch    186, Loss  0.770592, Average Loss  0.771238, Time  0.254988
2021-09-22 23:33:06.881980 : Epoch  3, Batch    844, Loss  0.867567, Average Loss  0.870769, Time  0.464910
2021-09-22 23:33:07.328529 : Epoch  6, Batch    187, Loss  0.771533, Average Loss  0.771200, Time  0.248459
2021-09-22 23:33:09.185278 : Epoch  6, Batch    188, Loss  0.786214, Average Loss  0.771261, Time  0.248883
2021-09-22 23:33:11.101178 : Epoch  6, Batch    189, Loss  0.759447, Average Loss  0.771177, Time  0.253355
2021-09-22 23:33:13.054579 : Epoch  6, Batch    190, Loss  0.761899, Average Loss  0.771099, Time  0.324952
2021-09-22 23:33:14.940301 : Epoch  6, Batch    191, Loss  0.760481, Average Loss  0.771028, Time  0.257036
2021-09-22 23:33:16.854286 : Epoch  6, Batch    192, Loss  0.775701, Average Loss  0.771034, Time  0.248702
2021-09-22 23:33:18.724011 : Epoch  6, Batch    193, Loss  0.760765, Average Loss  0.771029, Time  0.250100
2021-09-22 23:33:20.617002 : Epoch  6, Batch    194, Loss  0.766805, Average Loss  0.771035, Time  0.249376
2021-09-22 23:33:22.473714 : Epoch  6, Batch    195, Loss  0.768108, Average Loss  0.770971, Time  0.250799
2021-09-22 23:33:24.367390 : Epoch  6, Batch    196, Loss  0.770908, Average Loss  0.770964, Time  0.247936
2021-09-22 23:33:26.273227 : Epoch  6, Batch    197, Loss  0.781348, Average Loss  0.770981, Time  0.256475
2021-09-22 23:33:28.154203 : Epoch  6, Batch    198, Loss  0.770106, Average Loss  0.771022, Time  0.248934
2021-09-22 23:33:30.126233 : Epoch  6, Batch    199, Loss  0.770961, Average Loss  0.771049, Time  0.327108
2021-09-22 23:33:30.579784 : CheckPoint: Validation Loss  0.00031822, Best Loss  0.00030514
2021-09-22 23:33:32.003256 : Epoch  6, Batch    200, Loss  0.767429, Average Loss  0.770995, Time  0.249067
2021-09-22 23:33:32.521752 : Epoch  6, Batch     66, Loss  0.765909, Average Loss  0.771431, Time  0.272114
2021-09-22 23:33:33.880057 : Epoch  6, Batch    201, Loss  0.762224, Average Loss  0.770964, Time  0.249581
2021-09-22 23:33:34.472305 : Epoch  6, Batch     67, Loss  0.780583, Average Loss  0.771492, Time  0.263225
2021-09-22 23:33:35.748982 : Epoch  6, Batch    202, Loss  0.778107, Average Loss  0.770971, Time  0.249969
2021-09-22 23:33:36.471562 : Epoch  6, Batch     68, Loss  0.783737, Average Loss  0.771572, Time  0.269651
2021-09-22 23:33:37.635054 : Epoch  6, Batch    203, Loss  0.774357, Average Loss  0.771050, Time  0.253477
2021-09-22 23:33:38.417272 : Epoch  6, Batch     69, Loss  0.772252, Average Loss  0.771560, Time  0.256172
2021-09-22 23:33:39.528305 : Epoch  6, Batch    204, Loss  0.769522, Average Loss  0.771044, Time  0.248832
2021-09-22 23:33:40.354852 : Epoch  6, Batch     70, Loss  0.769846, Average Loss  0.771550, Time  0.254601
2021-09-22 23:33:41.388532 : Epoch  6, Batch    205, Loss  0.782515, Average Loss  0.771140, Time  0.249765
2021-09-22 23:33:42.318637 : Epoch  6, Batch     71, Loss  0.776367, Average Loss  0.771559, Time  0.256178
2021-09-22 23:33:43.387828 : Epoch  6, Batch    206, Loss  0.783616, Average Loss  0.771222, Time  0.250452
2021-09-22 23:33:44.285914 : Epoch  6, Batch     72, Loss  0.770676, Average Loss  0.771531, Time  0.268152
2021-09-22 23:33:45.294917 : Epoch  6, Batch    207, Loss  0.782062, Average Loss  0.771280, Time  0.265204
2021-09-22 23:33:46.255165 : Epoch  6, Batch     73, Loss  0.775019, Average Loss  0.771538, Time  0.260375
2021-09-22 23:33:47.189810 : Epoch  6, Batch    208, Loss  0.778878, Average Loss  0.771270, Time  0.249855
2021-09-22 23:33:48.231014 : Epoch  6, Batch     74, Loss  0.771227, Average Loss  0.771589, Time  0.267028
2021-09-22 23:33:49.054898 : Epoch  6, Batch    209, Loss  0.770345, Average Loss  0.771220, Time  0.250203
2021-09-22 23:33:50.189977 : Epoch  6, Batch     75, Loss  0.776129, Average Loss  0.771660, Time  0.258120
2021-09-22 23:33:50.927884 : Epoch  6, Batch    210, Loss  0.764989, Average Loss  0.771183, Time  0.251767
2021-09-22 23:33:52.154700 : Epoch  6, Batch     76, Loss  0.771220, Average Loss  0.771599, Time  0.259840
2021-09-22 23:33:52.821160 : Epoch  6, Batch    211, Loss  0.770128, Average Loss  0.771168, Time  0.262011
2021-09-22 23:33:54.111482 : Epoch  6, Batch     77, Loss  0.766007, Average Loss  0.771582, Time  0.264858
2021-09-22 23:33:54.697812 : Epoch  6, Batch    212, Loss  0.782262, Average Loss  0.771244, Time  0.248438
2021-09-22 23:33:56.078488 : Epoch  6, Batch     78, Loss  0.765169, Average Loss  0.771599, Time  0.256830
2021-09-22 23:33:56.600258 : Epoch  6, Batch    213, Loss  0.765937, Average Loss  0.771163, Time  0.250056
2021-09-22 23:33:58.048488 : Epoch  6, Batch     79, Loss  0.778076, Average Loss  0.771628, Time  0.264015
2021-09-22 23:33:58.495361 : Epoch  6, Batch    214, Loss  0.771155, Average Loss  0.771141, Time  0.249983
2021-09-22 23:34:00.013570 : Epoch  6, Batch     80, Loss  0.779398, Average Loss  0.771761, Time  0.264316
2021-09-22 23:34:00.356496 : Epoch  6, Batch    215, Loss  0.765694, Average Loss  0.771131, Time  0.253130
2021-09-22 23:34:01.973368 : Epoch  6, Batch     81, Loss  0.776834, Average Loss  0.771758, Time  0.260607
2021-09-22 23:34:02.239160 : Epoch  6, Batch    216, Loss  0.768079, Average Loss  0.771155, Time  0.252980
2021-09-22 23:34:03.963353 : Epoch  6, Batch     82, Loss  0.769322, Average Loss  0.771769, Time  0.300357
2021-09-22 23:34:04.153418 : Epoch  6, Batch    217, Loss  0.772568, Average Loss  0.771132, Time  0.284077
2021-09-22 23:34:06.107067 : Epoch  6, Batch     83, Loss  0.768251, Average Loss  0.771704, Time  0.440687
2021-09-22 23:34:06.188433 : Epoch  6, Batch    218, Loss  0.770197, Average Loss  0.771143, Time  0.405493
2021-09-22 23:34:08.332775 : Epoch  6, Batch    219, Loss  0.781607, Average Loss  0.771194, Time  0.506482
2021-09-22 23:34:08.365686 : Epoch  6, Batch     84, Loss  0.774719, Average Loss  0.771720, Time  0.509892
2021-09-22 23:34:10.498995 : Epoch  6, Batch    220, Loss  0.770686, Average Loss  0.771254, Time  0.499268
2021-09-22 23:34:10.531439 : Epoch  6, Batch     85, Loss  0.762408, Average Loss  0.771637, Time  0.478040
2021-09-22 23:34:12.560555 : Epoch  6, Batch    221, Loss  0.770136, Average Loss  0.771185, Time  0.438445
2021-09-22 23:34:12.641095 : Epoch  6, Batch     86, Loss  0.779966, Average Loss  0.771681, Time  0.410324
2021-09-22 23:34:14.559937 : Epoch  6, Batch    222, Loss  0.772814, Average Loss  0.771184, Time  0.375945
2021-09-22 23:34:14.684853 : Epoch  6, Batch     87, Loss  0.765859, Average Loss  0.771670, Time  0.348104
2021-09-22 23:34:16.529876 : Epoch  6, Batch    223, Loss  0.774776, Average Loss  0.771210, Time  0.330199
2021-09-22 23:34:16.684988 : Epoch  6, Batch     88, Loss  0.758656, Average Loss  0.771580, Time  0.311924
2021-09-22 23:34:18.421886 : Epoch  6, Batch    224, Loss  0.762268, Average Loss  0.771180, Time  0.249059
2021-09-22 23:34:18.651393 : Epoch  6, Batch     89, Loss  0.776807, Average Loss  0.771611, Time  0.266620
2021-09-22 23:34:20.293711 : Epoch  6, Batch    225, Loss  0.774900, Average Loss  0.771165, Time  0.249667
2021-09-22 23:34:20.602519 : Epoch  6, Batch     90, Loss  0.775300, Average Loss  0.771685, Time  0.259408
2021-09-22 23:34:22.188861 : Epoch  6, Batch    226, Loss  0.768746, Average Loss  0.771132, Time  0.250511
2021-09-22 23:34:22.574390 : Epoch  6, Batch     91, Loss  0.783061, Average Loss  0.771776, Time  0.263939
2021-09-22 23:34:24.092869 : Epoch  6, Batch    227, Loss  0.772662, Average Loss  0.771153, Time  0.252768
2021-09-22 23:34:24.525977 : Epoch  6, Batch     92, Loss  0.792667, Average Loss  0.771868, Time  0.262408
2021-09-22 23:34:25.981796 : Epoch  6, Batch    228, Loss  0.775846, Average Loss  0.771135, Time  0.260116
2021-09-22 23:34:26.471467 : Epoch  6, Batch     93, Loss  0.792676, Average Loss  0.771999, Time  0.263659
2021-09-22 23:34:27.866484 : Epoch  6, Batch    229, Loss  0.764161, Average Loss  0.771110, Time  0.248083
2021-09-22 23:34:28.420077 : Epoch  6, Batch     94, Loss  0.776902, Average Loss  0.772024, Time  0.257191
2021-09-22 23:34:29.750049 : Epoch  6, Batch    230, Loss  0.778932, Average Loss  0.771186, Time  0.248353
2021-09-22 23:34:30.356798 : Epoch  6, Batch     95, Loss  0.761082, Average Loss  0.771956, Time  0.259616
2021-09-22 23:34:31.621334 : Epoch  6, Batch    231, Loss  0.769585, Average Loss  0.771215, Time  0.250833
2021-09-22 23:34:32.299996 : Epoch  6, Batch     96, Loss  0.767574, Average Loss  0.771939, Time  0.255329
2021-09-22 23:34:33.515592 : Epoch  6, Batch    232, Loss  0.773512, Average Loss  0.771239, Time  0.248426
2021-09-22 23:34:34.280685 : Epoch  6, Batch     97, Loss  0.764164, Average Loss  0.771922, Time  0.263642
2021-09-22 23:34:35.387255 : Epoch  6, Batch    233, Loss  0.765526, Average Loss  0.771305, Time  0.253958
2021-09-22 23:34:36.230614 : Epoch  6, Batch     98, Loss  0.773618, Average Loss  0.771903, Time  0.259073
2021-09-22 23:34:37.272953 : Epoch  6, Batch    234, Loss  0.780047, Average Loss  0.771341, Time  0.253855
2021-09-22 23:34:38.178499 : Epoch  6, Batch     99, Loss  0.783271, Average Loss  0.772005, Time  0.260541
2021-09-22 23:34:39.153154 : Epoch  6, Batch    235, Loss  0.762456, Average Loss  0.771266, Time  0.249695
2021-09-22 23:34:40.122926 : Epoch  6, Batch    100, Loss  0.770211, Average Loss  0.771949, Time  0.273771
2021-09-22 23:34:42.083382 : Epoch  6, Batch    101, Loss  0.767738, Average Loss  0.771919, Time  0.260940
2021-09-22 23:34:42.836065 : Epoch  6, Batch    236, Loss  0.766374, Average Loss  0.771247, Time  0.251866
2021-09-22 23:34:44.038940 : Epoch  6, Batch    102, Loss  0.781120, Average Loss  0.771962, Time  0.262589
2021-09-22 23:34:44.760375 : Epoch  6, Batch    237, Loss  0.771828, Average Loss  0.771247, Time  0.258417
2021-09-22 23:34:45.986960 : Epoch  6, Batch    103, Loss  0.772209, Average Loss  0.771997, Time  0.255963
2021-09-22 23:34:46.638648 : Epoch  6, Batch    238, Loss  0.763062, Average Loss  0.771223, Time  0.248929
2021-09-22 23:34:47.945106 : Epoch  6, Batch    104, Loss  0.764412, Average Loss  0.771957, Time  0.269348
2021-09-22 23:34:48.523316 : Epoch  6, Batch    239, Loss  0.765251, Average Loss  0.771251, Time  0.250643
2021-09-22 23:34:49.899132 : Epoch  6, Batch    105, Loss  0.765212, Average Loss  0.771881, Time  0.262357
2021-09-22 23:34:50.421061 : Epoch  6, Batch    240, Loss  0.773714, Average Loss  0.771207, Time  0.248607
2021-09-22 23:34:51.852404 : Epoch  6, Batch    106, Loss  0.776896, Average Loss  0.771875, Time  0.256142
2021-09-22 23:34:52.313735 : Epoch  6, Batch    241, Loss  0.777048, Average Loss  0.771264, Time  0.248646
2021-09-22 23:34:53.787661 : Epoch  6, Batch    107, Loss  0.764235, Average Loss  0.771811, Time  0.255312
2021-09-22 23:34:54.198937 : Epoch  6, Batch    242, Loss  0.761118, Average Loss  0.771171, Time  0.248558
2021-09-22 23:34:55.725303 : Epoch  6, Batch    108, Loss  0.776631, Average Loss  0.771900, Time  0.260472
2021-09-22 23:34:56.095920 : Epoch  6, Batch    243, Loss  0.764087, Average Loss  0.771097, Time  0.249145
2021-09-22 23:34:57.674008 : Epoch  6, Batch    109, Loss  0.779815, Average Loss  0.771979, Time  0.266076
2021-09-22 23:34:57.968033 : Epoch  6, Batch    244, Loss  0.764489, Average Loss  0.771102, Time  0.249757
2021-09-22 23:34:59.621967 : Epoch  6, Batch    110, Loss  0.774497, Average Loss  0.771958, Time  0.254503
2021-09-22 23:34:59.881985 : Epoch  6, Batch    245, Loss  0.765259, Average Loss  0.771086, Time  0.249011
2021-09-22 23:35:01.588461 : Epoch  6, Batch    111, Loss  0.752749, Average Loss  0.771876, Time  0.283781
2021-09-22 23:35:01.786530 : Epoch  6, Batch    246, Loss  0.766106, Average Loss  0.771079, Time  0.276836
2021-09-22 23:35:03.708031 : Epoch  6, Batch    112, Loss  0.767531, Average Loss  0.771890, Time  0.427790
2021-09-22 23:35:03.803894 : Epoch  6, Batch    247, Loss  0.771844, Average Loss  0.771092, Time  0.397033
2021-09-22 23:35:05.917328 : Epoch  6, Batch    113, Loss  0.774781, Average Loss  0.771916, Time  0.514938
2021-09-22 23:35:05.962769 : Epoch  6, Batch    248, Loss  0.777476, Average Loss  0.771120, Time  0.489584
2021-09-22 23:35:08.097906 : Epoch  6, Batch    249, Loss  0.780658, Average Loss  0.771179, Time  0.511760
2021-09-22 23:35:08.134870 : Epoch  6, Batch    114, Loss  0.757278, Average Loss  0.771877, Time  0.498033
2021-09-22 23:35:10.141915 : Epoch  6, Batch    250, Loss  0.771506, Average Loss  0.771151, Time  0.428738
2021-09-22 23:35:10.228105 : Epoch  6, Batch    115, Loss  0.770383, Average Loss  0.771877, Time  0.407429
2021-09-22 23:35:12.130260 : Epoch  6, Batch    251, Loss  0.770786, Average Loss  0.771157, Time  0.375156
2021-09-22 23:35:12.253105 : Epoch  6, Batch    116, Loss  0.777519, Average Loss  0.771928, Time  0.340963
2021-09-22 23:35:14.118824 : Epoch  6, Batch    252, Loss  0.781938, Average Loss  0.771235, Time  0.350379
2021-09-22 23:35:14.267596 : Epoch  6, Batch    117, Loss  0.768773, Average Loss  0.771877, Time  0.324463
2021-09-22 23:35:15.997110 : Epoch  6, Batch    253, Loss  0.776525, Average Loss  0.771234, Time  0.249320
2021-09-22 23:35:16.232733 : Epoch  6, Batch    118, Loss  0.770960, Average Loss  0.771891, Time  0.269893
2021-09-22 23:35:17.880071 : Epoch  6, Batch    254, Loss  0.780652, Average Loss  0.771250, Time  0.250676
2021-09-22 23:35:18.182874 : Epoch  6, Batch    119, Loss  0.775272, Average Loss  0.771980, Time  0.256562
2021-09-22 23:35:19.769306 : Epoch  6, Batch    255, Loss  0.775562, Average Loss  0.771313, Time  0.251733
2021-09-22 23:35:20.145910 : Epoch  6, Batch    120, Loss  0.772703, Average Loss  0.772030, Time  0.255747
2021-09-22 23:35:21.676302 : Epoch  6, Batch    256, Loss  0.770820, Average Loss  0.771322, Time  0.250807
2021-09-22 23:35:22.092764 : Epoch  6, Batch    121, Loss  0.772812, Average Loss  0.771966, Time  0.257500
2021-09-22 23:35:23.563310 : Epoch  6, Batch    257, Loss  0.779502, Average Loss  0.771381, Time  0.248800
2021-09-22 23:35:24.058028 : Epoch  6, Batch    122, Loss  0.769925, Average Loss  0.772003, Time  0.263046
2021-09-22 23:35:25.443227 : Epoch  6, Batch    258, Loss  0.775075, Average Loss  0.771351, Time  0.252051
2021-09-22 23:35:26.011541 : Epoch  6, Batch    123, Loss  0.765797, Average Loss  0.771968, Time  0.258096
2021-09-22 23:35:27.353044 : Epoch  6, Batch    259, Loss  0.775370, Average Loss  0.771428, Time  0.250352
2021-09-22 23:35:27.994042 : Epoch  6, Batch    124, Loss  0.772779, Average Loss  0.772080, Time  0.260460
2021-09-22 23:35:29.236846 : Epoch  6, Batch    260, Loss  0.761742, Average Loss  0.771416, Time  0.249353
2021-09-22 23:35:29.941969 : Epoch  6, Batch    125, Loss  0.779284, Average Loss  0.772150, Time  0.256053
2021-09-22 23:35:31.132081 : Epoch  6, Batch    261, Loss  0.778816, Average Loss  0.771455, Time  0.250364
2021-09-22 23:35:31.898381 : Epoch  6, Batch    126, Loss  0.761169, Average Loss  0.772151, Time  0.255513
2021-09-22 23:35:33.007011 : Epoch  6, Batch    262, Loss  0.786611, Average Loss  0.771511, Time  0.250674
2021-09-22 23:35:33.846039 : Epoch  6, Batch    127, Loss  0.769253, Average Loss  0.772142, Time  0.254817
2021-09-22 23:35:34.899345 : Epoch  6, Batch    263, Loss  0.774856, Average Loss  0.771525, Time  0.249101
2021-09-22 23:35:35.796061 : Epoch  6, Batch    128, Loss  0.773198, Average Loss  0.772100, Time  0.266010
2021-09-22 23:35:36.787720 : Epoch  6, Batch    264, Loss  0.775482, Average Loss  0.771535, Time  0.252712
2021-09-22 23:35:37.740846 : Epoch  6, Batch    129, Loss  0.761642, Average Loss  0.772218, Time  0.253951
2021-09-22 23:35:38.664995 : Epoch  6, Batch    265, Loss  0.775762, Average Loss  0.771557, Time  0.249925
2021-09-22 23:35:39.707241 : Epoch  6, Batch    130, Loss  0.761653, Average Loss  0.772119, Time  0.263666
2021-09-22 23:35:41.664566 : Epoch  6, Batch    131, Loss  0.773384, Average Loss  0.772127, Time  0.252986
2021-09-22 23:35:43.598282 : Epoch  6, Batch    132, Loss  0.786005, Average Loss  0.772134, Time  0.252720
2021-09-22 23:35:45.608546 : Epoch  6, Batch    133, Loss  0.765909, Average Loss  0.772019, Time  0.338478
2021-09-22 23:35:47.557607 : Epoch  6, Batch    134, Loss  0.778876, Average Loss  0.772019, Time  0.253452
2021-09-22 23:35:49.507197 : Epoch  6, Batch    135, Loss  0.774934, Average Loss  0.772041, Time  0.253977
2021-09-22 23:35:53.685862 : Epoch  6, Batch    136, Loss  0.778204, Average Loss  0.772065, Time  0.262454
2021-09-22 23:35:55.646013 : Epoch  6, Batch    137, Loss  0.770625, Average Loss  0.772024, Time  0.295689
2021-09-22 23:35:57.578922 : Epoch  6, Batch    138, Loss  0.764150, Average Loss  0.771969, Time  0.256312
2021-09-22 23:35:59.512827 : Epoch  6, Batch    139, Loss  0.761100, Average Loss  0.771910, Time  0.253407
2021-09-22 23:36:01.465100 : Epoch  6, Batch    140, Loss  0.761028, Average Loss  0.771813, Time  0.258062
2021-09-22 23:36:03.414830 : Epoch  6, Batch    141, Loss  0.772196, Average Loss  0.771828, Time  0.265017
2021-09-22 23:36:05.410533 : Epoch  6, Batch    142, Loss  0.750592, Average Loss  0.771633, Time  0.328064
2021-09-22 23:36:07.359079 : Epoch  6, Batch    143, Loss  0.777899, Average Loss  0.771703, Time  0.257764
2021-09-22 23:36:09.280926 : Epoch  6, Batch    144, Loss  0.768098, Average Loss  0.771674, Time  0.253181
2021-09-22 23:36:11.217614 : Epoch  6, Batch    145, Loss  0.766626, Average Loss  0.771668, Time  0.257579
2021-09-22 23:36:13.136448 : Epoch  6, Batch    146, Loss  0.769415, Average Loss  0.771651, Time  0.252132
2021-09-22 23:36:15.081399 : Epoch  6, Batch    147, Loss  0.766395, Average Loss  0.771605, Time  0.255535
2021-09-22 23:36:17.073979 : Epoch  6, Batch    148, Loss  0.769219, Average Loss  0.771549, Time  0.252614
2021-09-22 23:36:19.028296 : Epoch  6, Batch    149, Loss  0.783930, Average Loss  0.771638, Time  0.268140
2021-09-22 23:36:20.969558 : Epoch  6, Batch    150, Loss  0.765232, Average Loss  0.771546, Time  0.258673
2021-09-22 23:36:22.920811 : Epoch  6, Batch    151, Loss  0.768540, Average Loss  0.771510, Time  0.258565
2021-09-22 23:36:24.866292 : Epoch  6, Batch    152, Loss  0.769488, Average Loss  0.771509, Time  0.256005
2021-09-22 23:36:26.898993 : Epoch  6, Batch    153, Loss  0.770774, Average Loss  0.771515, Time  0.336953
2021-09-22 23:36:28.845891 : Epoch  6, Batch    154, Loss  0.766667, Average Loss  0.771467, Time  0.255855
2021-09-22 23:36:30.781234 : Epoch  6, Batch    155, Loss  0.773092, Average Loss  0.771438, Time  0.256864
2021-09-22 23:36:32.718844 : Epoch  6, Batch    156, Loss  0.774240, Average Loss  0.771423, Time  0.256127
2021-09-22 23:36:34.670286 : Epoch  6, Batch    157, Loss  0.765341, Average Loss  0.771402, Time  0.260542
2021-09-22 23:36:36.598960 : Epoch  6, Batch    158, Loss  0.761369, Average Loss  0.771332, Time  0.254180
2021-09-22 23:36:38.535353 : Epoch  6, Batch    159, Loss  0.774708, Average Loss  0.771341, Time  0.261350
2021-09-22 23:36:40.508740 : Epoch  6, Batch    160, Loss  0.771969, Average Loss  0.771324, Time  0.264477
2021-09-22 23:36:42.445850 : Epoch  6, Batch    161, Loss  0.776324, Average Loss  0.771369, Time  0.255880
2021-09-22 23:36:44.382878 : Epoch  6, Batch    162, Loss  0.774037, Average Loss  0.771373, Time  0.257351
2021-09-22 23:36:46.322044 : Epoch  6, Batch    163, Loss  0.768012, Average Loss  0.771388, Time  0.257668
2021-09-22 23:36:48.351129 : Epoch  6, Batch    164, Loss  0.780201, Average Loss  0.771445, Time  0.336482
2021-09-22 23:36:48.786712 : CheckPoint: Validation Loss  0.00032276, Best Loss  0.00030694
2021-09-22 23:36:50.291605 : Epoch  6, Batch    165, Loss  0.781984, Average Loss  0.771487, Time  0.263334
2021-09-22 23:36:50.698120 : Epoch  6, Batch    266, Loss  0.768039, Average Loss  0.771476, Time  0.276740
2021-09-22 23:36:52.588075 : Epoch  6, Batch    267, Loss  0.766704, Average Loss  0.771451, Time  0.254994
2021-09-22 23:36:54.491733 : Epoch  6, Batch    268, Loss  0.771161, Average Loss  0.771445, Time  0.259642
2021-09-22 23:36:56.370565 : Epoch  6, Batch    269, Loss  0.768000, Average Loss  0.771434, Time  0.249952
2021-09-22 23:36:58.247893 : Epoch  6, Batch    270, Loss  0.778419, Average Loss  0.771551, Time  0.251657
2021-09-22 23:37:00.134418 : Epoch  6, Batch    271, Loss  0.775794, Average Loss  0.771573, Time  0.254339
2021-09-22 23:37:02.001469 : Epoch  6, Batch    272, Loss  0.774590, Average Loss  0.771635, Time  0.247701
2021-09-22 23:37:03.875358 : Epoch  6, Batch    273, Loss  0.761766, Average Loss  0.771553, Time  0.251784
2021-09-22 23:37:04.064726 : CheckPoint: Validation Loss  0.00015621, Best Loss  0.00014923
2021-09-22 23:37:05.749651 : Epoch  6, Batch    274, Loss  0.770196, Average Loss  0.771575, Time  0.251348
2021-09-22 23:37:07.643261 : Epoch  6, Batch    275, Loss  0.759804, Average Loss  0.771567, Time  0.251788
2021-09-22 23:37:09.027088 : Epoch  3, Batch    845, Loss  0.866879, Average Loss  0.870696, Time  0.419265
2021-09-22 23:37:09.616383 : Epoch  6, Batch    276, Loss  0.770934, Average Loss  0.771590, Time  0.328924
2021-09-22 23:37:11.536320 : Epoch  6, Batch    277, Loss  0.766076, Average Loss  0.771563, Time  0.258071
2021-09-22 23:37:13.422610 : Epoch  6, Batch    278, Loss  0.776191, Average Loss  0.771639, Time  0.248619
2021-09-22 23:37:13.981983 : Epoch  3, Batch    846, Loss  0.863966, Average Loss  0.870676, Time  0.413446
2021-09-22 23:37:15.314661 : Epoch  6, Batch    279, Loss  0.766980, Average Loss  0.771625, Time  0.250161
2021-09-22 23:37:17.198493 : Epoch  6, Batch    280, Loss  0.770131, Average Loss  0.771642, Time  0.249601
2021-09-22 23:37:18.943728 : Epoch  3, Batch    847, Loss  0.888595, Average Loss  0.870797, Time  0.417270
2021-09-22 23:37:19.105685 : Epoch  6, Batch    281, Loss  0.769092, Average Loss  0.771676, Time  0.248714
2021-09-22 23:37:20.988919 : Epoch  6, Batch    282, Loss  0.767646, Average Loss  0.771641, Time  0.250439
2021-09-22 23:37:22.870114 : Epoch  6, Batch    283, Loss  0.753829, Average Loss  0.771520, Time  0.248727
2021-09-22 23:37:23.916970 : Epoch  3, Batch    848, Loss  0.868920, Average Loss  0.870741, Time  0.412906
2021-09-22 23:37:24.832963 : Epoch  6, Batch    284, Loss  0.781867, Average Loss  0.771621, Time  0.315747
2021-09-22 23:37:26.770777 : Epoch  6, Batch    285, Loss  0.761666, Average Loss  0.771563, Time  0.292451
2021-09-22 23:37:28.672810 : Epoch  6, Batch    286, Loss  0.765518, Average Loss  0.771523, Time  0.255354
2021-09-22 23:37:28.881933 : Epoch  3, Batch    849, Loss  0.874036, Average Loss  0.870872, Time  0.413346
2021-09-22 23:37:30.582969 : Epoch  6, Batch    287, Loss  0.775500, Average Loss  0.771539, Time  0.249773
2021-09-22 23:37:32.468398 : Epoch  6, Batch    288, Loss  0.770972, Average Loss  0.771565, Time  0.250666
2021-09-22 23:37:33.836774 : Epoch  3, Batch    850, Loss  0.867925, Average Loss  0.870905, Time  0.413256
2021-09-22 23:37:34.341154 : Epoch  6, Batch    289, Loss  0.772093, Average Loss  0.771508, Time  0.248375
2021-09-22 23:37:36.212944 : Epoch  6, Batch    290, Loss  0.751157, Average Loss  0.771443, Time  0.248897
2021-09-22 23:37:38.091991 : Epoch  6, Batch    291, Loss  0.783375, Average Loss  0.771473, Time  0.250077
2021-09-22 23:37:38.805768 : Epoch  3, Batch    851, Loss  0.876218, Average Loss  0.870989, Time  0.413299
2021-09-22 23:37:39.973913 : Epoch  6, Batch    292, Loss  0.775015, Average Loss  0.771573, Time  0.248351
2021-09-22 23:37:41.941651 : Epoch  6, Batch    293, Loss  0.770239, Average Loss  0.771622, Time  0.332977
2021-09-22 23:37:43.837393 : Epoch  6, Batch    294, Loss  0.765055, Average Loss  0.771624, Time  0.255362
2021-09-22 23:37:43.902855 : Epoch  3, Batch    852, Loss  0.869579, Average Loss  0.870966, Time  0.413296
2021-09-22 23:37:45.713220 : Epoch  6, Batch    295, Loss  0.763215, Average Loss  0.771623, Time  0.251323
2021-09-22 23:37:47.594753 : Epoch  6, Batch    296, Loss  0.768361, Average Loss  0.771619, Time  0.249335
2021-09-22 23:37:48.910739 : Epoch  3, Batch    853, Loss  0.867704, Average Loss  0.871003, Time  0.453481
2021-09-22 23:37:49.492754 : Epoch  6, Batch    297, Loss  0.787894, Average Loss  0.771677, Time  0.249520
2021-09-22 23:37:51.405870 : Epoch  6, Batch    298, Loss  0.774494, Average Loss  0.771682, Time  0.251651
2021-09-22 23:37:53.284210 : Epoch  6, Batch    299, Loss  0.768840, Average Loss  0.771651, Time  0.248030
2021-09-22 23:37:53.872026 : Epoch  3, Batch    854, Loss  0.866233, Average Loss  0.870921, Time  0.414497
2021-09-22 23:37:55.171882 : Epoch  6, Batch    300, Loss  0.778328, Average Loss  0.771737, Time  0.249245
2021-09-22 23:37:57.046033 : Epoch  6, Batch    301, Loss  0.772510, Average Loss  0.771727, Time  0.249440
2021-09-22 23:37:58.833091 : Epoch  3, Batch    855, Loss  0.879943, Average Loss  0.870963, Time  0.413598
2021-09-22 23:37:59.006212 : Epoch  6, Batch    302, Loss  0.768565, Average Loss  0.771684, Time  0.325489
2021-09-22 23:38:00.869955 : Epoch  6, Batch    303, Loss  0.763569, Average Loss  0.771688, Time  0.248013
2021-09-22 23:38:02.762371 : Epoch  6, Batch    304, Loss  0.773868, Average Loss  0.771727, Time  0.251240
2021-09-22 23:38:02.881712 : CheckPoint: Validation Loss  0.00032388, Best Loss  0.00030514
2021-09-22 23:38:03.784775 : Epoch  3, Batch    856, Loss  0.861440, Average Loss  0.870898, Time  0.413561
2021-09-22 23:38:04.781534 : Epoch  6, Batch    305, Loss  0.772732, Average Loss  0.771771, Time  0.369342
2021-09-22 23:38:04.906118 : Epoch  6, Batch    166, Loss  0.781574, Average Loss  0.771619, Time  0.342179
2021-09-22 23:38:06.851880 : Epoch  6, Batch    306, Loss  0.759725, Average Loss  0.771688, Time  0.397444
2021-09-22 23:38:06.956196 : Epoch  6, Batch    167, Loss  0.773975, Average Loss  0.771607, Time  0.370699
2021-09-22 23:38:08.734881 : Epoch  3, Batch    857, Loss  0.865372, Average Loss  0.870774, Time  0.413250
2021-09-22 23:38:08.885935 : Epoch  6, Batch    307, Loss  0.781028, Average Loss  0.771767, Time  0.393834
2021-09-22 23:38:08.997309 : Epoch  6, Batch    168, Loss  0.764963, Average Loss  0.771588, Time  0.363050
2021-09-22 23:38:10.909935 : Epoch  6, Batch    308, Loss  0.782473, Average Loss  0.771834, Time  0.389773
2021-09-22 23:38:11.027026 : Epoch  6, Batch    169, Loss  0.770730, Average Loss  0.771611, Time  0.361334
2021-09-22 23:38:12.911325 : Epoch  6, Batch    309, Loss  0.783250, Average Loss  0.771890, Time  0.369169
2021-09-22 23:38:13.035925 : Epoch  6, Batch    170, Loss  0.774821, Average Loss  0.771658, Time  0.340278
2021-09-22 23:38:13.709838 : Epoch  3, Batch    858, Loss  0.881520, Average Loss  0.870794, Time  0.413664
2021-09-22 23:38:14.887082 : Epoch  6, Batch    310, Loss  0.764455, Average Loss  0.771836, Time  0.325372
2021-09-22 23:38:15.056765 : Epoch  6, Batch    171, Loss  0.771991, Average Loss  0.771622, Time  0.303699
2021-09-22 23:38:16.861803 : Epoch  6, Batch    311, Loss  0.768815, Average Loss  0.771860, Time  0.307348
2021-09-22 23:38:17.040366 : Epoch  6, Batch    172, Loss  0.762217, Average Loss  0.771584, Time  0.288066
2021-09-22 23:38:18.676723 : Epoch  3, Batch    859, Loss  0.889521, Average Loss  0.870909, Time  0.413690
2021-09-22 23:38:18.776826 : Epoch  6, Batch    312, Loss  0.780052, Average Loss  0.771896, Time  0.281657
2021-09-22 23:38:18.976134 : Epoch  6, Batch    173, Loss  0.764763, Average Loss  0.771576, Time  0.279608
2021-09-22 23:38:20.651232 : Epoch  6, Batch    313, Loss  0.780474, Average Loss  0.771891, Time  0.251982
2021-09-22 23:38:20.914385 : Epoch  6, Batch    174, Loss  0.775788, Average Loss  0.771593, Time  0.261596
2021-09-22 23:38:22.543915 : Epoch  6, Batch    314, Loss  0.774382, Average Loss  0.771931, Time  0.255918
2021-09-22 23:38:22.831358 : Epoch  6, Batch    175, Loss  0.761056, Average Loss  0.771539, Time  0.257438
2021-09-22 23:38:23.630727 : Epoch  3, Batch    860, Loss  0.870031, Average Loss  0.870907, Time  0.413068
2021-09-22 23:38:24.428463 : Epoch  6, Batch    315, Loss  0.778882, Average Loss  0.771941, Time  0.256619
2021-09-22 23:38:24.756981 : Epoch  6, Batch    176, Loss  0.772547, Average Loss  0.771490, Time  0.253422
2021-09-22 23:38:26.307105 : Epoch  6, Batch    316, Loss  0.773455, Average Loss  0.771945, Time  0.248868
2021-09-22 23:38:26.688685 : Epoch  6, Batch    177, Loss  0.760083, Average Loss  0.771456, Time  0.255730
2021-09-22 23:38:28.212957 : Epoch  6, Batch    317, Loss  0.772712, Average Loss  0.771940, Time  0.255525
2021-09-22 23:38:28.586020 : Epoch  3, Batch    861, Loss  0.859132, Average Loss  0.870823, Time  0.413475
2021-09-22 23:38:28.615461 : Epoch  6, Batch    178, Loss  0.776812, Average Loss  0.771472, Time  0.252585
2021-09-22 23:38:30.095019 : Epoch  6, Batch    318, Loss  0.764777, Average Loss  0.771898, Time  0.252422
2021-09-22 23:38:30.539429 : Epoch  6, Batch    179, Loss  0.776057, Average Loss  0.771476, Time  0.258623
2021-09-22 23:38:31.978880 : Epoch  6, Batch    319, Loss  0.772269, Average Loss  0.771968, Time  0.249383
2021-09-22 23:38:32.449436 : Epoch  6, Batch    180, Loss  0.765898, Average Loss  0.771485, Time  0.253043
2021-09-22 23:38:33.573783 : Epoch  3, Batch    862, Loss  0.854058, Average Loss  0.870752, Time  0.459575
2021-09-22 23:38:33.870881 : Epoch  6, Batch    320, Loss  0.774349, Average Loss  0.771989, Time  0.251165
2021-09-22 23:38:34.390004 : Epoch  6, Batch    181, Loss  0.771594, Average Loss  0.771493, Time  0.254400
2021-09-22 23:38:35.760900 : Epoch  6, Batch    321, Loss  0.777596, Average Loss  0.772033, Time  0.250961
2021-09-22 23:38:36.335809 : Epoch  6, Batch    182, Loss  0.785475, Average Loss  0.771581, Time  0.260200
2021-09-22 23:38:37.675657 : Epoch  6, Batch    322, Loss  0.752299, Average Loss  0.771991, Time  0.253143
2021-09-22 23:38:38.272466 : Epoch  6, Batch    183, Loss  0.772634, Average Loss  0.771594, Time  0.255036
2021-09-22 23:38:38.534763 : Epoch  3, Batch    863, Loss  0.874662, Average Loss  0.870759, Time  0.413148
2021-09-22 23:38:39.560426 : Epoch  6, Batch    323, Loss  0.759679, Average Loss  0.771969, Time  0.256984
2021-09-22 23:38:40.231801 : Epoch  6, Batch    184, Loss  0.768915, Average Loss  0.771590, Time  0.257610
2021-09-22 23:38:41.460151 : Epoch  6, Batch    324, Loss  0.771346, Average Loss  0.771930, Time  0.252948
2021-09-22 23:38:42.178288 : Epoch  6, Batch    185, Loss  0.778391, Average Loss  0.771530, Time  0.251976
2021-09-22 23:38:43.351844 : Epoch  6, Batch    325, Loss  0.769458, Average Loss  0.771879, Time  0.249412
2021-09-22 23:38:43.485646 : Epoch  3, Batch    864, Loss  0.880808, Average Loss  0.870782, Time  0.413131
2021-09-22 23:38:44.090891 : Epoch  6, Batch    186, Loss  0.768752, Average Loss  0.771477, Time  0.252579
2021-09-22 23:38:45.244807 : Epoch  6, Batch    326, Loss  0.763365, Average Loss  0.771818, Time  0.248859
2021-09-22 23:38:46.032886 : Epoch  6, Batch    187, Loss  0.777919, Average Loss  0.771482, Time  0.252470
2021-09-22 23:38:47.142146 : Epoch  6, Batch    327, Loss  0.784929, Average Loss  0.771904, Time  0.248521
2021-09-22 23:38:47.947878 : Epoch  6, Batch    188, Loss  0.771562, Average Loss  0.771529, Time  0.254060
2021-09-22 23:38:48.449987 : Epoch  3, Batch    865, Loss  0.868492, Average Loss  0.870768, Time  0.413408
2021-09-22 23:38:49.034858 : Epoch  6, Batch    328, Loss  0.765718, Average Loss  0.771879, Time  0.253298
2021-09-22 23:38:49.886959 : Epoch  6, Batch    189, Loss  0.762052, Average Loss  0.771475, Time  0.257683
2021-09-22 23:38:50.923258 : Epoch  6, Batch    329, Loss  0.768808, Average Loss  0.771861, Time  0.250708
2021-09-22 23:38:51.826410 : Epoch  6, Batch    190, Loss  0.773083, Average Loss  0.771456, Time  0.254389
2021-09-22 23:38:52.822607 : Epoch  6, Batch    330, Loss  0.759278, Average Loss  0.771848, Time  0.249309
2021-09-22 23:38:53.405143 : Epoch  3, Batch    866, Loss  0.867249, Average Loss  0.870721, Time  0.413194
2021-09-22 23:38:53.760463 : Epoch  6, Batch    191, Loss  0.778458, Average Loss  0.771439, Time  0.252212
2021-09-22 23:38:54.715719 : Epoch  6, Batch    331, Loss  0.757009, Average Loss  0.771762, Time  0.248649
2021-09-22 23:38:55.699418 : Epoch  6, Batch    192, Loss  0.769746, Average Loss  0.771425, Time  0.252388
2021-09-22 23:38:56.604253 : Epoch  6, Batch    332, Loss  0.771180, Average Loss  0.771787, Time  0.252165
2021-09-22 23:38:57.622698 : Epoch  6, Batch    193, Loss  0.776340, Average Loss  0.771474, Time  0.254194
2021-09-22 23:38:58.383763 : Epoch  3, Batch    867, Loss  0.879041, Average Loss  0.870765, Time  0.414092
2021-09-22 23:38:58.507157 : Epoch  6, Batch    333, Loss  0.768961, Average Loss  0.771756, Time  0.253963
2021-09-22 23:38:59.548731 : Epoch  6, Batch    194, Loss  0.767954, Average Loss  0.771486, Time  0.258099
2021-09-22 23:39:00.387988 : Epoch  6, Batch    334, Loss  0.767072, Average Loss  0.771753, Time  0.249511
2021-09-22 23:39:01.487795 : Epoch  6, Batch    195, Loss  0.768943, Average Loss  0.771480, Time  0.252830
2021-09-22 23:39:02.279290 : Epoch  6, Batch    335, Loss  0.759110, Average Loss  0.771717, Time  0.249707
2021-09-22 23:39:03.366032 : Epoch  3, Batch    868, Loss  0.857524, Average Loss  0.870685, Time  0.413902
2021-09-22 23:39:03.442595 : Epoch  6, Batch    196, Loss  0.772203, Average Loss  0.771498, Time  0.255742
2021-09-22 23:39:05.367360 : Epoch  6, Batch    197, Loss  0.765593, Average Loss  0.771465, Time  0.252839
2021-09-22 23:39:05.929154 : Epoch  6, Batch    336, Loss  0.774144, Average Loss  0.771748, Time  0.250656
2021-09-22 23:39:07.304086 : Epoch  6, Batch    198, Loss  0.773590, Average Loss  0.771469, Time  0.252480
2021-09-22 23:39:07.823021 : Epoch  6, Batch    337, Loss  0.771950, Average Loss  0.771693, Time  0.251859
2021-09-22 23:39:08.344757 : Epoch  3, Batch    869, Loss  0.885818, Average Loss  0.870651, Time  0.413964
2021-09-22 23:39:09.252973 : Epoch  6, Batch    199, Loss  0.776811, Average Loss  0.771544, Time  0.255334
2021-09-22 23:39:09.720517 : Epoch  6, Batch    338, Loss  0.764440, Average Loss  0.771702, Time  0.249012
2021-09-22 23:39:11.196115 : Epoch  6, Batch    200, Loss  0.769354, Average Loss  0.771612, Time  0.264338
2021-09-22 23:39:11.609102 : Epoch  6, Batch    339, Loss  0.771722, Average Loss  0.771727, Time  0.252585
2021-09-22 23:39:13.166082 : Epoch  6, Batch    201, Loss  0.779235, Average Loss  0.771651, Time  0.259082
2021-09-22 23:39:13.319914 : Epoch  3, Batch    870, Loss  0.874995, Average Loss  0.870723, Time  0.414738
2021-09-22 23:39:13.510569 : Epoch  6, Batch    340, Loss  0.768211, Average Loss  0.771738, Time  0.248930
2021-09-22 23:39:15.097245 : Epoch  6, Batch    202, Loss  0.770864, Average Loss  0.771698, Time  0.253303
2021-09-22 23:39:15.405618 : Epoch  6, Batch    341, Loss  0.777428, Average Loss  0.771740, Time  0.256058
2021-09-22 23:39:17.037461 : Epoch  6, Batch    203, Loss  0.764374, Average Loss  0.771625, Time  0.255927
2021-09-22 23:39:17.280859 : Epoch  6, Batch    342, Loss  0.768351, Average Loss  0.771723, Time  0.253386
2021-09-22 23:39:18.307034 : Epoch  3, Batch    871, Loss  0.876752, Average Loss  0.870760, Time  0.454123
2021-09-22 23:39:19.058764 : Epoch  6, Batch    204, Loss  0.759281, Average Loss  0.771602, Time  0.334288
2021-09-22 23:39:19.219228 : Epoch  6, Batch    343, Loss  0.765299, Average Loss  0.771732, Time  0.305146
2021-09-22 23:39:21.210327 : Epoch  6, Batch    205, Loss  0.771112, Average Loss  0.771558, Time  0.472744
2021-09-22 23:39:21.253921 : Epoch  6, Batch    344, Loss  0.769824, Average Loss  0.771667, Time  0.422498
2021-09-22 23:39:23.296977 : Epoch  3, Batch    872, Loss  0.876409, Average Loss  0.870790, Time  0.413224
2021-09-22 23:39:23.400334 : Epoch  6, Batch    345, Loss  0.768966, Average Loss  0.771658, Time  0.517320
2021-09-22 23:39:23.424012 : Epoch  6, Batch    206, Loss  0.769615, Average Loss  0.771531, Time  0.508434
2021-09-22 23:39:25.475927 : Epoch  6, Batch    346, Loss  0.770853, Average Loss  0.771686, Time  0.462732
2021-09-22 23:39:25.532200 : Epoch  6, Batch    207, Loss  0.777124, Average Loss  0.771542, Time  0.433795
2021-09-22 23:39:27.590822 : Epoch  6, Batch    347, Loss  0.764481, Average Loss  0.771654, Time  0.472460
2021-09-22 23:39:27.641356 : Epoch  6, Batch    208, Loss  0.770130, Average Loss  0.771502, Time  0.447777
2021-09-22 23:39:28.298964 : Epoch  3, Batch    873, Loss  0.871754, Average Loss  0.870780, Time  0.413517
2021-09-22 23:39:29.636781 : Epoch  6, Batch    348, Loss  0.783386, Average Loss  0.771682, Time  0.422606
2021-09-22 23:39:29.737944 : Epoch  6, Batch    209, Loss  0.776414, Average Loss  0.771542, Time  0.404243
2021-09-22 23:39:31.654810 : Epoch  6, Batch    349, Loss  0.769597, Average Loss  0.771595, Time  0.380124
2021-09-22 23:39:31.779509 : Epoch  6, Batch    210, Loss  0.777865, Average Loss  0.771641, Time  0.349600
2021-09-22 23:39:33.245130 : Epoch  3, Batch    874, Loss  0.878991, Average Loss  0.870815, Time  0.412963
2021-09-22 23:39:33.678839 : Epoch  6, Batch    350, Loss  0.774324, Average Loss  0.771603, Time  0.370804
2021-09-22 23:39:33.801098 : Epoch  6, Batch    211, Loss  0.761258, Average Loss  0.771640, Time  0.344481
2021-09-22 23:39:35.655114 : Epoch  6, Batch    351, Loss  0.769945, Average Loss  0.771593, Time  0.355263
2021-09-22 23:39:35.790576 : Epoch  6, Batch    212, Loss  0.767687, Average Loss  0.771609, Time  0.326123
2021-09-22 23:39:37.611344 : Epoch  6, Batch    352, Loss  0.769841, Average Loss  0.771536, Time  0.313779
2021-09-22 23:39:37.784908 : Epoch  6, Batch    213, Loss  0.784233, Average Loss  0.771651, Time  0.296198
2021-09-22 23:39:38.218871 : Epoch  3, Batch    875, Loss  0.872662, Average Loss  0.870806, Time  0.413702
2021-09-22 23:39:39.494817 : Epoch  6, Batch    353, Loss  0.769413, Average Loss  0.771538, Time  0.251069
2021-09-22 23:39:39.729102 : Epoch  6, Batch    214, Loss  0.781877, Average Loss  0.771703, Time  0.259000
2021-09-22 23:39:41.394537 : Epoch  6, Batch    354, Loss  0.765077, Average Loss  0.771493, Time  0.249203
2021-09-22 23:39:41.658950 : Epoch  6, Batch    215, Loss  0.767336, Average Loss  0.771693, Time  0.255539
2021-09-22 23:39:43.205760 : Epoch  3, Batch    876, Loss  0.867829, Average Loss  0.870802, Time  0.413455
2021-09-22 23:39:43.306172 : Epoch  6, Batch    355, Loss  0.778542, Average Loss  0.771516, Time  0.255658
2021-09-22 23:39:43.569373 : Epoch  6, Batch    216, Loss  0.766455, Average Loss  0.771692, Time  0.252870
2021-09-22 23:39:45.201121 : Epoch  6, Batch    356, Loss  0.768481, Average Loss  0.771498, Time  0.254750
2021-09-22 23:39:45.476826 : Epoch  6, Batch    217, Loss  0.766534, Average Loss  0.771639, Time  0.252246
2021-09-22 23:39:47.081360 : Epoch  6, Batch    357, Loss  0.778294, Average Loss  0.771491, Time  0.254680
2021-09-22 23:39:47.396361 : Epoch  6, Batch    218, Loss  0.788360, Average Loss  0.771705, Time  0.255651
2021-09-22 23:39:48.209083 : Epoch  3, Batch    877, Loss  0.881441, Average Loss  0.870866, Time  0.412871
2021-09-22 23:39:48.969430 : Epoch  6, Batch    358, Loss  0.772510, Average Loss  0.771463, Time  0.252506
2021-09-22 23:39:49.311132 : Epoch  6, Batch    219, Loss  0.767479, Average Loss  0.771717, Time  0.253724
2021-09-22 23:39:50.878509 : Epoch  6, Batch    359, Loss  0.776167, Average Loss  0.771478, Time  0.255962
2021-09-22 23:39:51.271105 : Epoch  6, Batch    220, Loss  0.776544, Average Loss  0.771706, Time  0.254981
2021-09-22 23:39:52.778001 : Epoch  6, Batch    360, Loss  0.781111, Average Loss  0.771481, Time  0.250435
2021-09-22 23:39:53.162991 : Epoch  3, Batch    878, Loss  0.866872, Average Loss  0.870808, Time  0.413191
2021-09-22 23:39:53.208056 : Epoch  6, Batch    221, Loss  0.767728, Average Loss  0.771709, Time  0.254153
2021-09-22 23:39:54.684949 : Epoch  6, Batch    361, Loss  0.762909, Average Loss  0.771471, Time  0.251047
2021-09-22 23:39:55.154871 : Epoch  6, Batch    222, Loss  0.780091, Average Loss  0.771712, Time  0.254808
2021-09-22 23:39:56.587439 : Epoch  6, Batch    362, Loss  0.760812, Average Loss  0.771441, Time  0.252797
2021-09-22 23:39:57.088786 : Epoch  6, Batch    223, Loss  0.765567, Average Loss  0.771700, Time  0.256515
2021-09-22 23:39:58.127500 : Epoch  3, Batch    879, Loss  0.872120, Average Loss  0.870864, Time  0.414204
2021-09-22 23:39:58.480402 : Epoch  6, Batch    363, Loss  0.769381, Average Loss  0.771389, Time  0.248914
2021-09-22 23:39:59.025854 : Epoch  6, Batch    224, Loss  0.771187, Average Loss  0.771665, Time  0.255617
2021-09-22 23:40:00.380004 : Epoch  6, Batch    364, Loss  0.766920, Average Loss  0.771368, Time  0.251647
2021-09-22 23:40:00.958977 : Epoch  6, Batch    225, Loss  0.773521, Average Loss  0.771582, Time  0.252752
2021-09-22 23:40:02.268187 : Epoch  6, Batch    365, Loss  0.783349, Average Loss  0.771441, Time  0.251910
2021-09-22 23:40:02.879314 : Epoch  6, Batch    226, Loss  0.780493, Average Loss  0.771609, Time  0.254718
2021-09-22 23:40:03.137366 : Epoch  3, Batch    880, Loss  0.862670, Average Loss  0.870819, Time  0.459983
2021-09-22 23:40:04.819786 : Epoch  6, Batch    227, Loss  0.776973, Average Loss  0.771579, Time  0.257693
2021-09-22 23:40:06.757704 : Epoch  6, Batch    228, Loss  0.762877, Average Loss  0.771519, Time  0.252696
2021-09-22 23:40:08.105582 : Epoch  3, Batch    881, Loss  0.885945, Average Loss  0.870917, Time  0.414065
2021-09-22 23:40:08.695840 : Epoch  6, Batch    229, Loss  0.768330, Average Loss  0.771484, Time  0.256523
2021-09-22 23:40:10.639913 : Epoch  6, Batch    230, Loss  0.765956, Average Loss  0.771508, Time  0.253597
2021-09-22 23:40:12.589431 : Epoch  6, Batch    231, Loss  0.773529, Average Loss  0.771515, Time  0.275196
2021-09-22 23:40:13.114782 : Epoch  3, Batch    882, Loss  0.875256, Average Loss  0.870887, Time  0.413736
2021-09-22 23:40:14.528987 : Epoch  6, Batch    232, Loss  0.767554, Average Loss  0.771377, Time  0.253508
2021-09-22 23:40:16.465462 : Epoch  6, Batch    233, Loss  0.779600, Average Loss  0.771454, Time  0.257184
2021-09-22 23:40:18.066748 : Epoch  3, Batch    883, Loss  0.869267, Average Loss  0.870893, Time  0.413521
2021-09-22 23:40:18.396736 : Epoch  6, Batch    234, Loss  0.770182, Average Loss  0.771393, Time  0.257299
2021-09-22 23:40:20.325264 : Epoch  6, Batch    235, Loss  0.766639, Average Loss  0.771298, Time  0.254170
2021-09-22 23:40:23.025915 : Epoch  3, Batch    884, Loss  0.879554, Average Loss  0.870926, Time  0.413618
2021-09-22 23:40:24.563057 : Epoch  6, Batch    236, Loss  0.781036, Average Loss  0.771324, Time  0.253019
2021-09-22 23:40:26.486878 : Epoch  6, Batch    237, Loss  0.780073, Average Loss  0.771399, Time  0.255625
2021-09-22 23:40:27.989763 : Epoch  3, Batch    885, Loss  0.871133, Average Loss  0.870921, Time  0.413050
2021-09-22 23:40:28.432820 : Epoch  6, Batch    238, Loss  0.767683, Average Loss  0.771359, Time  0.258456
2021-09-22 23:40:30.363179 : Epoch  6, Batch    239, Loss  0.774791, Average Loss  0.771414, Time  0.255062
2021-09-22 23:40:32.386388 : Epoch  6, Batch    240, Loss  0.751198, Average Loss  0.771334, Time  0.319747
2021-09-22 23:40:32.999757 : Epoch  3, Batch    886, Loss  0.884527, Average Loss  0.870972, Time  0.412965
2021-09-22 23:40:34.319842 : Epoch  6, Batch    241, Loss  0.765266, Average Loss  0.771332, Time  0.252852
2021-09-22 23:40:36.249933 : Epoch  6, Batch    242, Loss  0.779123, Average Loss  0.771394, Time  0.253063
2021-09-22 23:40:37.960990 : Epoch  3, Batch    887, Loss  0.868108, Average Loss  0.870908, Time  0.413174
2021-09-22 23:40:38.197011 : Epoch  6, Batch    243, Loss  0.777289, Average Loss  0.771476, Time  0.255798
2021-09-22 23:40:40.165947 : Epoch  6, Batch    244, Loss  0.771558, Average Loss  0.771436, Time  0.257443
2021-09-22 23:40:42.217309 : Epoch  6, Batch    245, Loss  0.770897, Average Loss  0.771553, Time  0.328438
2021-09-22 23:40:42.973820 : Epoch  3, Batch    888, Loss  0.860064, Average Loss  0.870845, Time  0.412815
2021-09-22 23:40:44.148878 : Epoch  6, Batch    246, Loss  0.774046, Average Loss  0.771551, Time  0.253733
2021-09-22 23:40:46.092368 : Epoch  6, Batch    247, Loss  0.776150, Average Loss  0.771600, Time  0.253209
2021-09-22 23:40:47.929753 : Epoch  3, Batch    889, Loss  0.871862, Average Loss  0.870898, Time  0.414078
2021-09-22 23:40:48.061498 : Epoch  6, Batch    248, Loss  0.776185, Average Loss  0.771562, Time  0.260217
2021-09-22 23:40:50.015958 : Epoch  6, Batch    249, Loss  0.779385, Average Loss  0.771581, Time  0.253349
2021-09-22 23:40:51.951984 : Epoch  6, Batch    250, Loss  0.766707, Average Loss  0.771581, Time  0.260879
2021-09-22 23:40:52.943746 : Epoch  3, Batch    890, Loss  0.886291, Average Loss  0.870937, Time  0.466178
2021-09-22 23:40:53.909176 : Epoch  6, Batch    251, Loss  0.775443, Average Loss  0.771611, Time  0.255220
2021-09-22 23:40:55.860896 : Epoch  6, Batch    252, Loss  0.780575, Average Loss  0.771717, Time  0.260404
2021-09-22 23:40:57.804086 : Epoch  6, Batch    253, Loss  0.773242, Average Loss  0.771702, Time  0.253189
2021-09-22 23:40:57.941006 : Epoch  3, Batch    891, Loss  0.877124, Average Loss  0.871016, Time  0.419370
2021-09-22 23:40:59.752098 : Epoch  6, Batch    254, Loss  0.767686, Average Loss  0.771700, Time  0.252976
2021-09-22 23:41:01.695063 : Epoch  6, Batch    255, Loss  0.757575, Average Loss  0.771592, Time  0.252367
2021-09-22 23:41:02.897008 : Epoch  3, Batch    892, Loss  0.881633, Average Loss  0.871079, Time  0.414166
2021-09-22 23:41:03.726373 : Epoch  6, Batch    256, Loss  0.775117, Average Loss  0.771636, Time  0.334654
2021-09-22 23:41:05.710965 : Epoch  6, Batch    257, Loss  0.781225, Average Loss  0.771669, Time  0.256052
2021-09-22 23:41:07.670021 : Epoch  6, Batch    258, Loss  0.772013, Average Loss  0.771713, Time  0.256243
2021-09-22 23:41:07.856772 : Epoch  3, Batch    893, Loss  0.867398, Average Loss  0.871021, Time  0.413369
2021-09-22 23:41:09.593156 : Epoch  6, Batch    259, Loss  0.779453, Average Loss  0.771801, Time  0.265240
2021-09-22 23:41:11.528119 : Epoch  6, Batch    260, Loss  0.771012, Average Loss  0.771729, Time  0.252335
2021-09-22 23:41:12.420092 : CheckPoint: Validation Loss  0.00030606, Best Loss  0.00030606
2021-09-22 23:41:12.462702 : Best Model Updated
2021-09-22 23:41:12.804029 : Epoch  3, Batch    894, Loss  0.863438, Average Loss  0.870954, Time  0.414132
2021-09-22 23:41:13.482475 : Epoch  6, Batch    261, Loss  0.773780, Average Loss  0.771757, Time  0.253233
2021-09-22 23:41:15.199850 : Epoch  6, Batch    366, Loss  0.769729, Average Loss  0.771434, Time  0.248880
2021-09-22 23:41:15.434379 : Epoch  6, Batch    262, Loss  0.764848, Average Loss  0.771727, Time  0.270221
2021-09-22 23:41:17.070280 : Epoch  6, Batch    367, Loss  0.771536, Average Loss  0.771413, Time  0.248531
2021-09-22 23:41:17.347979 : Epoch  6, Batch    263, Loss  0.784304, Average Loss  0.771771, Time  0.252363
2021-09-22 23:41:17.797768 : Epoch  3, Batch    895, Loss  0.872843, Average Loss  0.870922, Time  0.413322
2021-09-22 23:41:18.955235 : Epoch  6, Batch    368, Loss  0.767180, Average Loss  0.771401, Time  0.248753
2021-09-22 23:41:19.262983 : Epoch  6, Batch    264, Loss  0.762301, Average Loss  0.771732, Time  0.255054
2021-09-22 23:41:20.842214 : Epoch  6, Batch    369, Loss  0.769534, Average Loss  0.771394, Time  0.250142
2021-09-22 23:41:21.210385 : Epoch  6, Batch    265, Loss  0.778892, Average Loss  0.771796, Time  0.264014
2021-09-22 23:41:22.712360 : Epoch  6, Batch    370, Loss  0.780858, Average Loss  0.771365, Time  0.251208
2021-09-22 23:41:22.806807 : Epoch  3, Batch    896, Loss  0.881074, Average Loss  0.870951, Time  0.413954
2021-09-22 23:41:24.604336 : Epoch  6, Batch    371, Loss  0.776582, Average Loss  0.771293, Time  0.251878
2021-09-22 23:41:26.501399 : Epoch  6, Batch    372, Loss  0.771899, Average Loss  0.771302, Time  0.248529
2021-09-22 23:41:27.763803 : Epoch  3, Batch    897, Loss  0.878764, Average Loss  0.870962, Time  0.413182
2021-09-22 23:41:28.394285 : Epoch  6, Batch    373, Loss  0.773999, Average Loss  0.771307, Time  0.251164
2021-09-22 23:41:30.350753 : Epoch  6, Batch    374, Loss  0.769679, Average Loss  0.771344, Time  0.329634
2021-09-22 23:41:32.255098 : Epoch  6, Batch    375, Loss  0.773681, Average Loss  0.771331, Time  0.252031
2021-09-22 23:41:32.758976 : Epoch  3, Batch    898, Loss  0.862933, Average Loss  0.870855, Time  0.414888
2021-09-22 23:41:34.153339 : Epoch  6, Batch    376, Loss  0.769424, Average Loss  0.771337, Time  0.255170
2021-09-22 23:41:36.050299 : Epoch  6, Batch    377, Loss  0.766790, Average Loss  0.771285, Time  0.252165
2021-09-22 23:41:37.805015 : Epoch  3, Batch    899, Loss  0.893836, Average Loss  0.870952, Time  0.461809
2021-09-22 23:41:37.935897 : Epoch  6, Batch    378, Loss  0.770241, Average Loss  0.771259, Time  0.253956
2021-09-22 23:41:39.792866 : Epoch  6, Batch    379, Loss  0.772510, Average Loss  0.771240, Time  0.250536
2021-09-22 23:41:41.665318 : Epoch  6, Batch    380, Loss  0.766404, Average Loss  0.771169, Time  0.251529
2021-09-22 23:41:42.760993 : Epoch  3, Batch    900, Loss  0.866093, Average Loss  0.870928, Time  0.413465
2021-09-22 23:41:43.545113 : Epoch  6, Batch    381, Loss  0.762654, Average Loss  0.771117, Time  0.251122
2021-09-22 23:41:45.433024 : Epoch  6, Batch    382, Loss  0.781898, Average Loss  0.771218, Time  0.248175
2021-09-22 23:41:47.391114 : Epoch  6, Batch    383, Loss  0.763714, Average Loss  0.771188, Time  0.323567
2021-09-22 23:41:47.796198 : Epoch  3, Batch    901, Loss  0.877903, Average Loss  0.870918, Time  0.413018
2021-09-22 23:41:49.281111 : Epoch  6, Batch    384, Loss  0.778014, Average Loss  0.771135, Time  0.251158
2021-09-22 23:41:51.174271 : Epoch  6, Batch    385, Loss  0.772060, Average Loss  0.771121, Time  0.248086
2021-09-22 23:41:52.751104 : Epoch  3, Batch    902, Loss  0.862965, Average Loss  0.870858, Time  0.413537
2021-09-22 23:41:53.061004 : Epoch  6, Batch    386, Loss  0.773256, Average Loss  0.771134, Time  0.248204
2021-09-22 23:41:54.961856 : Epoch  6, Batch    387, Loss  0.769604, Average Loss  0.771124, Time  0.267071
2021-09-22 23:41:56.850802 : Epoch  6, Batch    388, Loss  0.765756, Average Loss  0.771022, Time  0.248991
2021-09-22 23:41:57.709224 : Epoch  3, Batch    903, Loss  0.870154, Average Loss  0.870872, Time  0.416777
2021-09-22 23:41:58.728834 : Epoch  6, Batch    389, Loss  0.769465, Average Loss  0.771072, Time  0.250419
2021-09-22 23:42:00.618124 : Epoch  6, Batch    390, Loss  0.780575, Average Loss  0.771165, Time  0.248891
2021-09-22 23:42:02.576003 : Epoch  6, Batch    391, Loss  0.775714, Average Loss  0.771242, Time  0.324136
2021-09-22 23:42:02.692740 : Epoch  3, Batch    904, Loss  0.873222, Average Loss  0.870927, Time  0.413520
2021-09-22 23:42:04.475497 : Epoch  6, Batch    392, Loss  0.757881, Average Loss  0.771153, Time  0.248790
2021-09-22 23:42:06.365134 : Epoch  6, Batch    393, Loss  0.767258, Average Loss  0.771185, Time  0.250232
2021-09-22 23:42:07.648760 : Epoch  3, Batch    905, Loss  0.877813, Average Loss  0.870966, Time  0.414506
2021-09-22 23:42:08.247737 : Epoch  6, Batch    394, Loss  0.768504, Average Loss  0.771193, Time  0.251663
2021-09-22 23:42:10.176797 : Epoch  6, Batch    395, Loss  0.791546, Average Loss  0.771311, Time  0.249248
2021-09-22 23:42:12.068828 : Epoch  6, Batch    396, Loss  0.761950, Average Loss  0.771266, Time  0.252264
2021-09-22 23:42:12.607740 : Epoch  3, Batch    906, Loss  0.868279, Average Loss  0.870934, Time  0.413089
2021-09-22 23:42:13.977218 : Epoch  6, Batch    397, Loss  0.759752, Average Loss  0.771158, Time  0.279187
2021-09-22 23:42:15.865017 : Epoch  6, Batch    398, Loss  0.770603, Average Loss  0.771160, Time  0.253352
2021-09-22 23:42:17.621054 : Epoch  3, Batch    907, Loss  0.879080, Average Loss  0.870916, Time  0.413909
2021-09-22 23:42:17.740652 : Epoch  6, Batch    399, Loss  0.773744, Average Loss  0.771174, Time  0.249934
2021-09-22 23:42:19.691423 : Epoch  6, Batch    400, Loss  0.761062, Average Loss  0.771142, Time  0.324469
2021-09-22 23:42:21.565852 : Epoch  6, Batch    401, Loss  0.765827, Average Loss  0.771160, Time  0.248847
2021-09-22 23:42:22.626005 : Epoch  3, Batch    908, Loss  0.855829, Average Loss  0.870855, Time  0.463591
2021-09-22 23:42:23.457856 : Epoch  6, Batch    402, Loss  0.772869, Average Loss  0.771134, Time  0.255451
2021-09-22 23:42:25.367637 : Epoch  6, Batch    403, Loss  0.777873, Average Loss  0.771152, Time  0.253338
2021-09-22 23:42:27.259287 : Epoch  6, Batch    404, Loss  0.764884, Average Loss  0.771129, Time  0.249583
2021-09-22 23:42:27.637815 : Epoch  3, Batch    909, Loss  0.868247, Average Loss  0.870776, Time  0.418706
2021-09-22 23:42:29.133522 : Epoch  6, Batch    405, Loss  0.755401, Average Loss  0.770993, Time  0.248757
2021-09-22 23:42:31.020862 : Epoch  6, Batch    406, Loss  0.777746, Average Loss  0.770964, Time  0.251725
2021-09-22 23:42:32.588014 : Epoch  3, Batch    910, Loss  0.883808, Average Loss  0.870890, Time  0.413367
2021-09-22 23:42:32.892733 : Epoch  6, Batch    407, Loss  0.759793, Average Loss  0.770852, Time  0.248442
2021-09-22 23:42:33.665482 : CheckPoint: Validation Loss  0.00031895, Best Loss  0.00030514
2021-09-22 23:42:34.770489 : Epoch  6, Batch    408, Loss  0.776302, Average Loss  0.770840, Time  0.249458
2021-09-22 23:42:35.601220 : Epoch  6, Batch    266, Loss  0.763535, Average Loss  0.771784, Time  0.252519
2021-09-22 23:42:36.657948 : Epoch  6, Batch    409, Loss  0.773009, Average Loss  0.770853, Time  0.253456
2021-09-22 23:42:37.541324 : Epoch  6, Batch    267, Loss  0.777513, Average Loss  0.771769, Time  0.253120
2021-09-22 23:42:37.579847 : Epoch  3, Batch    911, Loss  0.865657, Average Loss  0.870806, Time  0.414057
2021-09-22 23:42:38.558430 : Epoch  6, Batch    410, Loss  0.766722, Average Loss  0.770862, Time  0.250006
2021-09-22 23:42:39.497382 : Epoch  6, Batch    268, Loss  0.770949, Average Loss  0.771705, Time  0.265892
2021-09-22 23:42:40.430323 : Epoch  6, Batch    411, Loss  0.781380, Average Loss  0.770918, Time  0.251298
2021-09-22 23:42:41.437103 : Epoch  6, Batch    269, Loss  0.770106, Average Loss  0.771694, Time  0.256061
2021-09-22 23:42:42.301694 : Epoch  6, Batch    412, Loss  0.788544, Average Loss  0.770949, Time  0.256463
2021-09-22 23:42:42.611839 : Epoch  3, Batch    912, Loss  0.870119, Average Loss  0.870781, Time  0.427717
2021-09-22 23:42:43.355215 : Epoch  6, Batch    270, Loss  0.771743, Average Loss  0.771704, Time  0.252821
2021-09-22 23:42:44.203138 : Epoch  6, Batch    413, Loss  0.778897, Average Loss  0.771014, Time  0.251847
2021-09-22 23:42:45.302675 : Epoch  6, Batch    271, Loss  0.772658, Average Loss  0.771685, Time  0.258139
2021-09-22 23:42:46.103324 : Epoch  6, Batch    414, Loss  0.769480, Average Loss  0.771006, Time  0.250651
2021-09-22 23:42:47.246372 : Epoch  6, Batch    272, Loss  0.772240, Average Loss  0.771693, Time  0.264044
2021-09-22 23:42:47.567425 : Epoch  3, Batch    913, Loss  0.868516, Average Loss  0.870838, Time  0.413006
2021-09-22 23:42:48.014310 : Epoch  6, Batch    415, Loss  0.766252, Average Loss  0.771008, Time  0.250805
2021-09-22 23:42:49.167330 : Epoch  6, Batch    273, Loss  0.767234, Average Loss  0.771654, Time  0.259384
2021-09-22 23:42:49.913027 : Epoch  6, Batch    416, Loss  0.768494, Average Loss  0.771010, Time  0.255413
2021-09-22 23:42:51.116254 : Epoch  6, Batch    274, Loss  0.775859, Average Loss  0.771677, Time  0.260251
2021-09-22 23:42:51.805280 : Epoch  6, Batch    417, Loss  0.768624, Average Loss  0.770991, Time  0.249833
2021-09-22 23:42:52.547865 : Epoch  3, Batch    914, Loss  0.873086, Average Loss  0.870825, Time  0.414010
2021-09-22 23:42:53.063061 : Epoch  6, Batch    275, Loss  0.785518, Average Loss  0.771724, Time  0.255485
2021-09-22 23:42:53.715151 : Epoch  6, Batch    418, Loss  0.792660, Average Loss  0.771103, Time  0.249299
2021-09-22 23:42:54.985731 : Epoch  6, Batch    276, Loss  0.758121, Average Loss  0.771659, Time  0.252928
2021-09-22 23:42:55.601689 : Epoch  6, Batch    419, Loss  0.772963, Average Loss  0.771060, Time  0.249811
2021-09-22 23:42:56.945971 : Epoch  6, Batch    277, Loss  0.776107, Average Loss  0.771709, Time  0.252681
2021-09-22 23:42:57.495322 : Epoch  6, Batch    420, Loss  0.760700, Average Loss  0.771010, Time  0.249559
2021-09-22 23:42:57.512948 : Epoch  3, Batch    915, Loss  0.864850, Average Loss  0.870790, Time  0.413009
2021-09-22 23:42:58.890552 : Epoch  6, Batch    278, Loss  0.776642, Average Loss  0.771767, Time  0.256127
2021-09-22 23:42:59.382849 : Epoch  6, Batch    421, Loss  0.762807, Average Loss  0.770973, Time  0.250714
2021-09-22 23:43:00.837687 : Epoch  6, Batch    279, Loss  0.776016, Average Loss  0.771756, Time  0.255585
2021-09-22 23:43:01.280385 : Epoch  6, Batch    422, Loss  0.762444, Average Loss  0.770921, Time  0.249134
2021-09-22 23:43:02.507987 : Epoch  3, Batch    916, Loss  0.867099, Average Loss  0.870732, Time  0.413783
2021-09-22 23:43:02.781867 : Epoch  6, Batch    280, Loss  0.776214, Average Loss  0.771740, Time  0.263412
2021-09-22 23:43:03.158692 : Epoch  6, Batch    423, Loss  0.775596, Average Loss  0.770926, Time  0.248943
2021-09-22 23:43:04.718143 : Epoch  6, Batch    281, Loss  0.781277, Average Loss  0.771763, Time  0.253863
2021-09-22 23:43:05.060273 : Epoch  6, Batch    424, Loss  0.772610, Average Loss  0.770977, Time  0.250408
2021-09-22 23:43:06.646658 : Epoch  6, Batch    282, Loss  0.759251, Average Loss  0.771712, Time  0.256003
2021-09-22 23:43:06.934576 : Epoch  6, Batch    425, Loss  0.765206, Average Loss  0.770929, Time  0.248019
2021-09-22 23:43:07.562991 : Epoch  3, Batch    917, Loss  0.851067, Average Loss  0.870626, Time  0.452033
2021-09-22 23:43:08.584071 : Epoch  6, Batch    283, Loss  0.779924, Average Loss  0.771771, Time  0.254865
2021-09-22 23:43:08.820744 : Epoch  6, Batch    426, Loss  0.767440, Average Loss  0.770922, Time  0.260084
2021-09-22 23:43:10.590340 : Epoch  6, Batch    284, Loss  0.775920, Average Loss  0.771777, Time  0.332819
2021-09-22 23:43:10.746454 : Epoch  6, Batch    427, Loss  0.774066, Average Loss  0.770929, Time  0.297748
2021-09-22 23:43:12.530744 : Epoch  3, Batch    918, Loss  0.865313, Average Loss  0.870657, Time  0.414233
2021-09-22 23:43:12.690887 : Epoch  6, Batch    285, Loss  0.776957, Average Loss  0.771849, Time  0.433838
2021-09-22 23:43:12.766221 : Epoch  6, Batch    428, Loss  0.780728, Average Loss  0.770954, Time  0.391604
2021-09-22 23:43:14.861169 : Epoch  6, Batch    286, Loss  0.766342, Average Loss  0.771781, Time  0.508710
2021-09-22 23:43:14.895415 : Epoch  6, Batch    429, Loss  0.775178, Average Loss  0.771009, Time  0.457708
2021-09-22 23:43:17.049171 : Epoch  6, Batch    430, Loss  0.762937, Average Loss  0.770929, Time  0.517808
2021-09-22 23:43:17.085196 : Epoch  6, Batch    287, Loss  0.759428, Average Loss  0.771749, Time  0.517762
2021-09-22 23:43:17.531758 : Epoch  3, Batch    919, Loss  0.869587, Average Loss  0.870669, Time  0.413839
2021-09-22 23:43:19.218647 : Epoch  6, Batch    431, Loss  0.794262, Average Loss  0.771052, Time  0.495949
2021-09-22 23:43:19.265851 : Epoch  6, Batch    288, Loss  0.768488, Average Loss  0.771798, Time  0.471611
2021-09-22 23:43:21.292995 : Epoch  6, Batch    432, Loss  0.762741, Average Loss  0.770998, Time  0.436024
2021-09-22 23:43:21.372360 : Epoch  6, Batch    289, Loss  0.777563, Average Loss  0.771802, Time  0.407230
2021-09-22 23:43:22.536033 : Epoch  3, Batch    920, Loss  0.869743, Average Loss  0.870656, Time  0.413499
2021-09-22 23:43:23.398210 : Epoch  6, Batch    433, Loss  0.774568, Average Loss  0.771044, Time  0.457837
2021-09-22 23:43:23.469129 : Epoch  6, Batch    290, Loss  0.769980, Average Loss  0.771775, Time  0.431408
2021-09-22 23:43:25.435229 : Epoch  6, Batch    434, Loss  0.768176, Average Loss  0.770984, Time  0.419750
2021-09-22 23:43:25.526601 : Epoch  6, Batch    291, Loss  0.754380, Average Loss  0.771632, Time  0.391182
2021-09-22 23:43:27.472318 : Epoch  6, Batch    435, Loss  0.771637, Average Loss  0.771030, Time  0.411443
2021-09-22 23:43:27.536763 : Epoch  3, Batch    921, Loss  0.878720, Average Loss  0.870745, Time  0.414014
2021-09-22 23:43:27.565254 : Epoch  6, Batch    292, Loss  0.760286, Average Loss  0.771470, Time  0.378960
2021-09-22 23:43:29.538985 : Epoch  6, Batch    293, Loss  0.764784, Average Loss  0.771331, Time  0.256436
2021-09-22 23:43:31.172671 : Epoch  6, Batch    436, Loss  0.770594, Average Loss  0.771051, Time  0.248627
2021-09-22 23:43:31.474955 : Epoch  6, Batch    294, Loss  0.776950, Average Loss  0.771331, Time  0.256832
2021-09-22 23:43:32.487790 : Epoch  3, Batch    922, Loss  0.880188, Average Loss  0.870787, Time  0.413199
2021-09-22 23:43:33.060390 : Epoch  6, Batch    437, Loss  0.770115, Average Loss  0.771043, Time  0.254445
2021-09-22 23:43:33.407385 : Epoch  6, Batch    295, Loss  0.774702, Average Loss  0.771399, Time  0.266111
2021-09-22 23:43:34.967544 : Epoch  6, Batch    438, Loss  0.763614, Average Loss  0.771045, Time  0.259984
2021-09-22 23:43:35.339774 : Epoch  6, Batch    296, Loss  0.767055, Average Loss  0.771396, Time  0.255153
2021-09-22 23:43:36.846321 : Epoch  6, Batch    439, Loss  0.768233, Average Loss  0.771060, Time  0.248393
2021-09-22 23:43:37.247283 : Epoch  6, Batch    297, Loss  0.771838, Average Loss  0.771435, Time  0.260725
2021-09-22 23:43:37.486991 : Epoch  3, Batch    923, Loss  0.877925, Average Loss  0.870880, Time  0.413219
2021-09-22 23:43:38.761133 : Epoch  6, Batch    440, Loss  0.778247, Average Loss  0.771083, Time  0.249411
2021-09-22 23:43:39.170285 : Epoch  6, Batch    298, Loss  0.793151, Average Loss  0.771532, Time  0.253375
2021-09-22 23:43:40.654717 : Epoch  6, Batch    441, Loss  0.768807, Average Loss  0.771042, Time  0.248339
2021-09-22 23:43:41.085907 : Epoch  6, Batch    299, Loss  0.767243, Average Loss  0.771452, Time  0.253825
2021-09-22 23:43:42.423042 : Epoch  3, Batch    924, Loss  0.864126, Average Loss  0.870871, Time  0.413360
2021-09-22 23:43:42.544498 : Epoch  6, Batch    442, Loss  0.774130, Average Loss  0.771107, Time  0.254771
2021-09-22 23:43:42.977375 : Epoch  6, Batch    300, Loss  0.777097, Average Loss  0.771487, Time  0.251717
2021-09-22 23:43:44.434719 : Epoch  6, Batch    443, Loss  0.760166, Average Loss  0.771087, Time  0.249979
2021-09-22 23:43:44.879935 : Epoch  6, Batch    301, Loss  0.767853, Average Loss  0.771487, Time  0.253082
2021-09-22 23:43:46.326925 : Epoch  6, Batch    444, Loss  0.776399, Average Loss  0.771147, Time  0.251156
2021-09-22 23:43:46.780369 : Epoch  6, Batch    302, Loss  0.768704, Average Loss  0.771425, Time  0.251597
2021-09-22 23:43:47.408982 : Epoch  3, Batch    925, Loss  0.860487, Average Loss  0.870771, Time  0.412966
2021-09-22 23:43:48.219270 : Epoch  6, Batch    445, Loss  0.765884, Average Loss  0.771150, Time  0.260482
2021-09-22 23:43:48.684217 : Epoch  6, Batch    303, Loss  0.774827, Average Loss  0.771438, Time  0.252564
2021-09-22 23:43:50.099752 : Epoch  6, Batch    446, Loss  0.784346, Average Loss  0.771241, Time  0.251519
2021-09-22 23:43:50.606779 : Epoch  6, Batch    304, Loss  0.776900, Average Loss  0.771501, Time  0.256970
2021-09-22 23:43:52.017043 : Epoch  6, Batch    447, Loss  0.773250, Average Loss  0.771248, Time  0.249801
2021-09-22 23:43:52.501102 : Epoch  3, Batch    926, Loss  0.887767, Average Loss  0.870847, Time  0.465834
2021-09-22 23:43:52.506548 : Epoch  6, Batch    305, Loss  0.765983, Average Loss  0.771505, Time  0.252748
2021-09-22 23:43:53.894144 : Epoch  6, Batch    448, Loss  0.786385, Average Loss  0.771293, Time  0.249936
2021-09-22 23:43:54.395978 : Epoch  6, Batch    306, Loss  0.772926, Average Loss  0.771485, Time  0.254026
2021-09-22 23:43:55.758060 : Epoch  6, Batch    449, Loss  0.777160, Average Loss  0.771275, Time  0.249861
2021-09-22 23:43:56.262568 : Epoch  6, Batch    307, Loss  0.754150, Average Loss  0.771434, Time  0.252044
2021-09-22 23:43:57.455975 : Epoch  3, Batch    927, Loss  0.873875, Average Loss  0.870820, Time  0.416125
2021-09-22 23:43:57.627047 : Epoch  6, Batch    450, Loss  0.776487, Average Loss  0.771300, Time  0.267087
2021-09-22 23:43:58.132987 : Epoch  6, Batch    308, Loss  0.767289, Average Loss  0.771388, Time  0.252491
2021-09-22 23:43:59.497622 : Epoch  6, Batch    451, Loss  0.778446, Average Loss  0.771338, Time  0.258904
2021-09-22 23:44:00.030976 : Epoch  6, Batch    309, Loss  0.771292, Average Loss  0.771345, Time  0.253159
2021-09-22 23:44:01.378349 : Epoch  6, Batch    452, Loss  0.757274, Average Loss  0.771215, Time  0.259705
2021-09-22 23:44:01.946611 : Epoch  6, Batch    310, Loss  0.778945, Average Loss  0.771367, Time  0.251759
2021-09-22 23:44:02.415189 : Epoch  3, Batch    928, Loss  0.867948, Average Loss  0.870809, Time  0.413155
2021-09-22 23:44:02.446760 : Saving Model after 3-th Epoch.
2021-09-22 23:44:03.192610 : Epoch Finished.
2021-09-22 23:44:03.267890 : Epoch  6, Batch    453, Loss  0.769009, Average Loss  0.771177, Time  0.252328
2021-09-22 23:44:03.850811 : Epoch  6, Batch    311, Loss  0.782117, Average Loss  0.771514, Time  0.255012
2021-09-22 23:44:05.175023 : Epoch  6, Batch    454, Loss  0.765279, Average Loss  0.771101, Time  0.251279
2021-09-22 23:44:05.769432 : Epoch  6, Batch    312, Loss  0.765355, Average Loss  0.771503, Time  0.259032
2021-09-22 23:44:07.078836 : Epoch  6, Batch    455, Loss  0.777371, Average Loss  0.771110, Time  0.248665
2021-09-22 23:44:07.727965 : Epoch  6, Batch    313, Loss  0.778397, Average Loss  0.771521, Time  0.259384
2021-09-22 23:44:08.970242 : Epoch  6, Batch    456, Loss  0.776535, Average Loss  0.771138, Time  0.249375
2021-09-22 23:44:09.680844 : Epoch  6, Batch    314, Loss  0.779974, Average Loss  0.771635, Time  0.254052
2021-09-22 23:44:10.871927 : Epoch  6, Batch    457, Loss  0.778135, Average Loss  0.771131, Time  0.249333
2021-09-22 23:44:11.614831 : Epoch  6, Batch    315, Loss  0.775053, Average Loss  0.771658, Time  0.253392
2021-09-22 23:44:12.081595 : Batch Shuffled
2021-09-22 23:44:12.776471 : Epoch  6, Batch    458, Loss  0.770292, Average Loss  0.771107, Time  0.249170
2021-09-22 23:44:13.522743 : Epoch  6, Batch    316, Loss  0.773637, Average Loss  0.771639, Time  0.253881
2021-09-22 23:44:14.665401 : Epoch  6, Batch    459, Loss  0.770236, Average Loss  0.771082, Time  0.249433
2021-09-22 23:44:15.450581 : Epoch  6, Batch    317, Loss  0.769342, Average Loss  0.771642, Time  0.255620
2021-09-22 23:44:16.555436 : Epoch  6, Batch    460, Loss  0.764849, Average Loss  0.771097, Time  0.250968
2021-09-22 23:44:17.042758 : Epoch  4, Batch      1, Loss  0.873443, Average Loss  0.870857, Time  0.414463
2021-09-22 23:44:17.367684 : Epoch  6, Batch    318, Loss  0.780153, Average Loss  0.771688, Time  0.258627
2021-09-22 23:44:18.458742 : Epoch  6, Batch    461, Loss  0.762482, Average Loss  0.771016, Time  0.255799
2021-09-22 23:44:19.269935 : Epoch  6, Batch    319, Loss  0.780185, Average Loss  0.771712, Time  0.251863
2021-09-22 23:44:20.383614 : Epoch  6, Batch    462, Loss  0.761332, Average Loss  0.770889, Time  0.249514
2021-09-22 23:44:21.178849 : Epoch  6, Batch    320, Loss  0.771112, Average Loss  0.771704, Time  0.251556
2021-09-22 23:44:22.010264 : Epoch  4, Batch      2, Loss  0.883021, Average Loss  0.870902, Time  0.413857
2021-09-22 23:44:22.269906 : Epoch  6, Batch    463, Loss  0.772530, Average Loss  0.770878, Time  0.250437
2021-09-22 23:44:23.108671 : Epoch  6, Batch    321, Loss  0.773115, Average Loss  0.771706, Time  0.254216
2021-09-22 23:44:24.151858 : Epoch  6, Batch    464, Loss  0.765331, Average Loss  0.770827, Time  0.249806
2021-09-22 23:44:25.049880 : Epoch  6, Batch    322, Loss  0.780148, Average Loss  0.771757, Time  0.262613
2021-09-22 23:44:26.035076 : Epoch  6, Batch    465, Loss  0.764167, Average Loss  0.770769, Time  0.250517
2021-09-22 23:44:26.960919 : Epoch  4, Batch      3, Loss  0.884945, Average Loss  0.870968, Time  0.413785
2021-09-22 23:44:26.984243 : Epoch  6, Batch    323, Loss  0.771729, Average Loss  0.771786, Time  0.254904
2021-09-22 23:44:28.949911 : Epoch  6, Batch    324, Loss  0.766015, Average Loss  0.771753, Time  0.252152
2021-09-22 23:44:30.913956 : Epoch  6, Batch    325, Loss  0.768492, Average Loss  0.771699, Time  0.257298
2021-09-22 23:44:31.952849 : Epoch  4, Batch      4, Loss  0.864881, Average Loss  0.870916, Time  0.413511
2021-09-22 23:44:32.829334 : Epoch  6, Batch    326, Loss  0.769266, Average Loss  0.771739, Time  0.253403
2021-09-22 23:44:34.802872 : Epoch  6, Batch    327, Loss  0.769552, Average Loss  0.771741, Time  0.297067
2021-09-22 23:44:36.743460 : Epoch  6, Batch    328, Loss  0.773841, Average Loss  0.771744, Time  0.253566
2021-09-22 23:44:36.912862 : Epoch  4, Batch      5, Loss  0.874985, Average Loss  0.871012, Time  0.413299
2021-09-22 23:44:38.665469 : Epoch  6, Batch    329, Loss  0.771421, Average Loss  0.771793, Time  0.257559
2021-09-22 23:44:40.590182 : Epoch  6, Batch    330, Loss  0.780390, Average Loss  0.771886, Time  0.256999
2021-09-22 23:44:41.919995 : Epoch  4, Batch      6, Loss  0.863803, Average Loss  0.870964, Time  0.463237
2021-09-22 23:44:42.508918 : Epoch  6, Batch    331, Loss  0.777127, Average Loss  0.771905, Time  0.253933
2021-09-22 23:44:44.444098 : Epoch  6, Batch    332, Loss  0.770255, Average Loss  0.771826, Time  0.253119
2021-09-22 23:44:46.449686 : Epoch  6, Batch    333, Loss  0.770107, Average Loss  0.771847, Time  0.324949
2021-09-22 23:44:46.885934 : Epoch  4, Batch      7, Loss  0.866204, Average Loss  0.870990, Time  0.419569
2021-09-22 23:44:48.384920 : Epoch  6, Batch    334, Loss  0.776019, Average Loss  0.771833, Time  0.252325
2021-09-22 23:44:50.296991 : Epoch  6, Batch    335, Loss  0.769142, Average Loss  0.771804, Time  0.252694
2021-09-22 23:44:51.841032 : Epoch  4, Batch      8, Loss  0.856126, Average Loss  0.870998, Time  0.413039
2021-09-22 23:44:54.306015 : Epoch  6, Batch    336, Loss  0.768115, Average Loss  0.771754, Time  0.263072
2021-09-22 23:44:56.204842 : Epoch  6, Batch    337, Loss  0.756313, Average Loss  0.771682, Time  0.258280
2021-09-22 23:44:56.852784 : Epoch  4, Batch      9, Loss  0.861671, Average Loss  0.871014, Time  0.413408
2021-09-22 23:44:58.182733 : Epoch  6, Batch    338, Loss  0.779068, Average Loss  0.771757, Time  0.327965
2021-09-22 23:45:00.076197 : Epoch  6, Batch    339, Loss  0.778209, Average Loss  0.771842, Time  0.251751
2021-09-22 23:45:01.824765 : Epoch  4, Batch     10, Loss  0.861350, Average Loss  0.871066, Time  0.413764
2021-09-22 23:45:01.969786 : Epoch  6, Batch    340, Loss  0.769121, Average Loss  0.771883, Time  0.256291
2021-09-22 23:45:03.886895 : Epoch  6, Batch    341, Loss  0.771703, Average Loss  0.771880, Time  0.254461
2021-09-22 23:45:05.791090 : Epoch  6, Batch    342, Loss  0.770234, Average Loss  0.771979, Time  0.253127
2021-09-22 23:45:06.793743 : Epoch  4, Batch     11, Loss  0.850856, Average Loss  0.870924, Time  0.412929
2021-09-22 23:45:07.733292 : Epoch  6, Batch    343, Loss  0.765323, Average Loss  0.771916, Time  0.253865
2021-09-22 23:45:09.702916 : Epoch  6, Batch    344, Loss  0.776346, Average Loss  0.771957, Time  0.326306
2021-09-22 23:45:11.647208 : Epoch  6, Batch    345, Loss  0.767223, Average Loss  0.771960, Time  0.253555
2021-09-22 23:45:11.786045 : Epoch  4, Batch     12, Loss  0.864634, Average Loss  0.870902, Time  0.413149
2021-09-22 23:45:13.573770 : Epoch  6, Batch    346, Loss  0.764125, Average Loss  0.771933, Time  0.252803
2021-09-22 23:45:15.498048 : Epoch  6, Batch    347, Loss  0.757127, Average Loss  0.771887, Time  0.256355
2021-09-22 23:45:16.763044 : Epoch  4, Batch     13, Loss  0.873810, Average Loss  0.870883, Time  0.413336
2021-09-22 23:45:17.432441 : Epoch  6, Batch    348, Loss  0.773404, Average Loss  0.771908, Time  0.255692
2021-09-22 23:45:19.346149 : Epoch  6, Batch    349, Loss  0.771704, Average Loss  0.771847, Time  0.253495
2021-09-22 23:45:21.351041 : Epoch  6, Batch    350, Loss  0.769813, Average Loss  0.771870, Time  0.326914
2021-09-22 23:45:21.742021 : Epoch  4, Batch     14, Loss  0.873817, Average Loss  0.870892, Time  0.414179
2021-09-22 23:45:23.263654 : Epoch  6, Batch    351, Loss  0.771224, Average Loss  0.771883, Time  0.251796
2021-09-22 23:45:25.193860 : Epoch  6, Batch    352, Loss  0.768847, Average Loss  0.771880, Time  0.253017
2021-09-22 23:45:26.758786 : Epoch  4, Batch     15, Loss  0.881452, Average Loss  0.870989, Time  0.465887
2021-09-22 23:45:27.085837 : Epoch  6, Batch    353, Loss  0.767895, Average Loss  0.771866, Time  0.252469
2021-09-22 23:45:29.017252 : Epoch  6, Batch    354, Loss  0.772066, Average Loss  0.771893, Time  0.253194
2021-09-22 23:45:30.922506 : Epoch  6, Batch    355, Loss  0.772985, Average Loss  0.771892, Time  0.255469
2021-09-22 23:45:31.737755 : Epoch  4, Batch     16, Loss  0.871078, Average Loss  0.870961, Time  0.420147
2021-09-22 23:45:32.846328 : Epoch  6, Batch    356, Loss  0.784855, Average Loss  0.771945, Time  0.260597
2021-09-22 23:45:34.849283 : Epoch  6, Batch    357, Loss  0.764992, Average Loss  0.771943, Time  0.332254
2021-09-22 23:45:36.774503 : Epoch  6, Batch    358, Loss  0.767990, Average Loss  0.771976, Time  0.260948
2021-09-22 23:45:36.903490 : CheckPoint: Validation Loss  0.00031741, Best Loss  0.00030606
2021-09-22 23:45:38.874234 : Epoch  6, Batch    359, Loss  0.769931, Average Loss  0.771953, Time  0.435378
2021-09-22 23:45:38.952025 : Epoch  6, Batch    466, Loss  0.766101, Average Loss  0.770759, Time  0.397821
2021-09-22 23:45:40.993173 : Epoch  6, Batch    360, Loss  0.766052, Average Loss  0.771923, Time  0.469862
2021-09-22 23:45:41.038713 : Epoch  6, Batch    467, Loss  0.768843, Average Loss  0.770770, Time  0.435529
2021-09-22 23:45:43.147260 : Epoch  6, Batch    361, Loss  0.766242, Average Loss  0.771873, Time  0.503255
2021-09-22 23:45:43.179180 : Epoch  6, Batch    468, Loss  0.766378, Average Loss  0.770746, Time  0.476238
2021-09-22 23:45:45.316644 : Epoch  6, Batch    362, Loss  0.777331, Average Loss  0.771889, Time  0.514231
2021-09-22 23:45:45.343346 : Epoch  6, Batch    469, Loss  0.766042, Average Loss  0.770736, Time  0.493780
2021-09-22 23:45:47.489261 : Epoch  6, Batch    363, Loss  0.771241, Average Loss  0.771905, Time  0.518073
2021-09-22 23:45:47.520042 : Epoch  6, Batch    470, Loss  0.782343, Average Loss  0.770756, Time  0.516756
2021-09-22 23:45:49.662202 : Epoch  6, Batch    364, Loss  0.772870, Average Loss  0.771869, Time  0.512448
2021-09-22 23:45:49.689673 : Epoch  6, Batch    471, Loss  0.774837, Average Loss  0.770751, Time  0.494829
2021-09-22 23:45:51.839217 : Epoch  6, Batch    365, Loss  0.763226, Average Loss  0.771775, Time  0.522571
2021-09-22 23:45:51.866061 : Epoch  6, Batch    472, Loss  0.765209, Average Loss  0.770704, Time  0.509643
2021-09-22 23:45:53.783395 : Epoch  6, Batch    473, Loss  0.763214, Average Loss  0.770711, Time  0.256024
2021-09-22 23:45:55.754953 : Epoch  6, Batch    474, Loss  0.773945, Average Loss  0.770730, Time  0.324743
2021-09-22 23:45:57.672718 : Epoch  6, Batch    475, Loss  0.766828, Average Loss  0.770765, Time  0.252419
2021-09-22 23:45:59.584755 : Epoch  6, Batch    476, Loss  0.773162, Average Loss  0.770776, Time  0.251125
2021-09-22 23:46:01.493305 : Epoch  6, Batch    477, Loss  0.767244, Average Loss  0.770782, Time  0.252131
2021-09-22 23:46:03.409741 : Epoch  6, Batch    478, Loss  0.763436, Average Loss  0.770718, Time  0.250988
2021-09-22 23:46:05.337638 : Epoch  6, Batch    479, Loss  0.763844, Average Loss  0.770703, Time  0.252853
2021-09-22 23:46:07.243614 : Epoch  6, Batch    480, Loss  0.767848, Average Loss  0.770691, Time  0.253203
2021-09-22 23:46:09.232993 : Epoch  6, Batch    481, Loss  0.771468, Average Loss  0.770703, Time  0.327120
2021-09-22 23:46:11.152233 : Epoch  6, Batch    482, Loss  0.773568, Average Loss  0.770733, Time  0.253407
2021-09-22 23:46:13.058669 : Epoch  6, Batch    483, Loss  0.768950, Average Loss  0.770808, Time  0.250456
2021-09-22 23:46:14.959285 : Epoch  6, Batch    484, Loss  0.768953, Average Loss  0.770744, Time  0.255303
2021-09-22 23:46:16.881888 : Epoch  6, Batch    485, Loss  0.767049, Average Loss  0.770771, Time  0.262528
2021-09-22 23:46:18.788271 : Epoch  6, Batch    486, Loss  0.776192, Average Loss  0.770824, Time  0.252489
2021-09-22 23:46:20.701727 : Epoch  6, Batch    487, Loss  0.774201, Average Loss  0.770818, Time  0.249475
2021-09-22 23:46:22.666497 : Epoch  6, Batch    488, Loss  0.773126, Average Loss  0.770828, Time  0.328959
2021-09-22 23:46:24.581336 : Epoch  6, Batch    489, Loss  0.770989, Average Loss  0.770823, Time  0.252157
2021-09-22 23:46:26.479291 : Epoch  6, Batch    490, Loss  0.769539, Average Loss  0.770915, Time  0.247755
2021-09-22 23:46:28.409429 : Epoch  6, Batch    491, Loss  0.763556, Average Loss  0.770816, Time  0.248107
2021-09-22 23:46:30.316323 : Epoch  6, Batch    492, Loss  0.772298, Average Loss  0.770802, Time  0.251722
2021-09-22 23:46:32.235946 : Epoch  6, Batch    493, Loss  0.761429, Average Loss  0.770758, Time  0.256831
2021-09-22 23:46:34.165329 : Epoch  6, Batch    494, Loss  0.775990, Average Loss  0.770813, Time  0.249913
2021-09-22 23:46:36.151325 : Epoch  6, Batch    495, Loss  0.782304, Average Loss  0.770908, Time  0.326650
2021-09-22 23:46:38.076067 : Epoch  6, Batch    496, Loss  0.771390, Average Loss  0.770923, Time  0.252827
2021-09-22 23:46:40.000344 : Epoch  6, Batch    497, Loss  0.773463, Average Loss  0.770851, Time  0.250549
2021-09-22 23:46:41.921797 : Epoch  6, Batch    498, Loss  0.773861, Average Loss  0.770848, Time  0.251579
2021-09-22 23:46:43.844103 : Epoch  6, Batch    499, Loss  0.778413, Average Loss  0.770896, Time  0.253362
2021-09-22 23:46:45.755470 : Epoch  6, Batch    500, Loss  0.772318, Average Loss  0.770866, Time  0.255501
2021-09-22 23:46:47.662511 : Epoch  6, Batch    501, Loss  0.785893, Average Loss  0.770933, Time  0.249716
2021-09-22 23:46:49.633764 : Epoch  6, Batch    502, Loss  0.779907, Average Loss  0.770989, Time  0.298227
2021-09-22 23:46:51.554162 : Epoch  6, Batch    503, Loss  0.766531, Average Loss  0.771004, Time  0.252508
2021-09-22 23:46:53.470105 : Epoch  6, Batch    504, Loss  0.765999, Average Loss  0.770965, Time  0.252955
2021-09-22 23:46:55.401297 : Epoch  6, Batch    505, Loss  0.762324, Average Loss  0.770913, Time  0.249977
2021-09-22 23:46:57.338282 : Epoch  6, Batch    506, Loss  0.762312, Average Loss  0.770926, Time  0.250953
2021-09-22 23:46:59.253074 : Epoch  6, Batch    507, Loss  0.783624, Average Loss  0.770939, Time  0.257215
2021-09-22 23:47:01.232941 : Epoch  6, Batch    508, Loss  0.768245, Average Loss  0.770868, Time  0.327575
2021-09-22 23:47:03.161517 : Epoch  6, Batch    509, Loss  0.774897, Average Loss  0.770826, Time  0.266881
2021-09-22 23:47:03.416796 : CheckPoint: Validation Loss  0.00032137, Best Loss  0.00030514
2021-09-22 23:47:05.084674 : Epoch  6, Batch    510, Loss  0.768854, Average Loss  0.770848, Time  0.259611
2021-09-22 23:47:05.354908 : Epoch  6, Batch    366, Loss  0.773338, Average Loss  0.771734, Time  0.257302
2021-09-22 23:47:06.995288 : Epoch  6, Batch    511, Loss  0.768006, Average Loss  0.770844, Time  0.254426
2021-09-22 23:47:07.282336 : Epoch  6, Batch    367, Loss  0.762215, Average Loss  0.771675, Time  0.261130
2021-09-22 23:47:08.912833 : Epoch  6, Batch    512, Loss  0.773925, Average Loss  0.770813, Time  0.249992
2021-09-22 23:47:09.206920 : Epoch  6, Batch    368, Loss  0.776719, Average Loss  0.771734, Time  0.251372
2021-09-22 23:47:10.832481 : Epoch  6, Batch    513, Loss  0.760147, Average Loss  0.770712, Time  0.252934
2021-09-22 23:47:11.143998 : Epoch  6, Batch    369, Loss  0.773187, Average Loss  0.771746, Time  0.255686
2021-09-22 23:47:12.725382 : Epoch  6, Batch    514, Loss  0.762107, Average Loss  0.770650, Time  0.249854
2021-09-22 23:47:13.057777 : Epoch  6, Batch    370, Loss  0.774311, Average Loss  0.771743, Time  0.252142
2021-09-22 23:47:14.630796 : Epoch  6, Batch    515, Loss  0.767314, Average Loss  0.770592, Time  0.249027
2021-09-22 23:47:14.950639 : Epoch  6, Batch    371, Loss  0.763508, Average Loss  0.771701, Time  0.250982
2021-09-22 23:47:16.541868 : Epoch  6, Batch    516, Loss  0.776896, Average Loss  0.770610, Time  0.248524
2021-09-22 23:47:16.845678 : Epoch  6, Batch    372, Loss  0.768748, Average Loss  0.771734, Time  0.251783
2021-09-22 23:47:18.446280 : Epoch  6, Batch    517, Loss  0.776204, Average Loss  0.770627, Time  0.253828
2021-09-22 23:47:18.749628 : Epoch  6, Batch    373, Loss  0.786079, Average Loss  0.771840, Time  0.252838
2021-09-22 23:47:20.344955 : Epoch  6, Batch    518, Loss  0.767704, Average Loss  0.770642, Time  0.247874
2021-09-22 23:47:20.650620 : Epoch  6, Batch    374, Loss  0.773451, Average Loss  0.771828, Time  0.252794
2021-09-22 23:47:22.254958 : Epoch  6, Batch    519, Loss  0.768312, Average Loss  0.770622, Time  0.249976
2021-09-22 23:47:22.558688 : Epoch  6, Batch    375, Loss  0.767668, Average Loss  0.771862, Time  0.254818
2021-09-22 23:47:24.162165 : Epoch  6, Batch    520, Loss  0.769478, Average Loss  0.770598, Time  0.256662
2021-09-22 23:47:24.495593 : Epoch  6, Batch    376, Loss  0.769231, Average Loss  0.771845, Time  0.252809
2021-09-22 23:47:26.061539 : Epoch  6, Batch    521, Loss  0.775289, Average Loss  0.770586, Time  0.247787
2021-09-22 23:47:26.406708 : Epoch  6, Batch    377, Loss  0.766710, Average Loss  0.771878, Time  0.253510
2021-09-22 23:47:27.959981 : Epoch  6, Batch    522, Loss  0.766436, Average Loss  0.770657, Time  0.254075
2021-09-22 23:47:28.305847 : Epoch  6, Batch    378, Loss  0.780065, Average Loss  0.771894, Time  0.252328
2021-09-22 23:47:29.899273 : Epoch  6, Batch    523, Loss  0.776764, Average Loss  0.770742, Time  0.251300
2021-09-22 23:47:30.210810 : Epoch  6, Batch    379, Loss  0.776240, Average Loss  0.771895, Time  0.253498
2021-09-22 23:47:31.814111 : Epoch  6, Batch    524, Loss  0.771588, Average Loss  0.770743, Time  0.253210
2021-09-22 23:47:32.141117 : Epoch  6, Batch    380, Loss  0.770826, Average Loss  0.771920, Time  0.253342
2021-09-22 23:47:33.712818 : Epoch  6, Batch    525, Loss  0.761931, Average Loss  0.770706, Time  0.250064
2021-09-22 23:47:34.052321 : Epoch  6, Batch    381, Loss  0.772061, Average Loss  0.771922, Time  0.256308
2021-09-22 23:47:35.641484 : Epoch  6, Batch    526, Loss  0.764653, Average Loss  0.770712, Time  0.252800
2021-09-22 23:47:35.964066 : Epoch  6, Batch    382, Loss  0.782429, Average Loss  0.771907, Time  0.252119
2021-09-22 23:47:37.545903 : Epoch  6, Batch    527, Loss  0.774794, Average Loss  0.770661, Time  0.248780
2021-09-22 23:47:37.868893 : Epoch  6, Batch    383, Loss  0.780730, Average Loss  0.771947, Time  0.253518
2021-09-22 23:47:39.454982 : Epoch  6, Batch    528, Loss  0.768301, Average Loss  0.770674, Time  0.250904
2021-09-22 23:47:39.769194 : Epoch  6, Batch    384, Loss  0.766663, Average Loss  0.771936, Time  0.258057
2021-09-22 23:47:41.366964 : Epoch  6, Batch    529, Loss  0.775669, Average Loss  0.770709, Time  0.256518
2021-09-22 23:47:41.669787 : Epoch  6, Batch    385, Loss  0.775120, Average Loss  0.771920, Time  0.254203
2021-09-22 23:47:43.281171 : Epoch  6, Batch    530, Loss  0.767483, Average Loss  0.770750, Time  0.250078
2021-09-22 23:47:43.603253 : Epoch  6, Batch    386, Loss  0.776185, Average Loss  0.771957, Time  0.271699
2021-09-22 23:47:45.202362 : Epoch  6, Batch    531, Loss  0.767334, Average Loss  0.770801, Time  0.249589
2021-09-22 23:47:45.507500 : Epoch  6, Batch    387, Loss  0.777266, Average Loss  0.771954, Time  0.253249
2021-09-22 23:47:47.134751 : Epoch  6, Batch    532, Loss  0.759404, Average Loss  0.770742, Time  0.252833
2021-09-22 23:47:47.399155 : Epoch  6, Batch    388, Loss  0.774561, Average Loss  0.771969, Time  0.251515
2021-09-22 23:47:49.036313 : Epoch  6, Batch    533, Loss  0.770968, Average Loss  0.770752, Time  0.252972
2021-09-22 23:47:49.284922 : Epoch  6, Batch    389, Loss  0.771635, Average Loss  0.772017, Time  0.256802
2021-09-22 23:47:50.967898 : Epoch  6, Batch    534, Loss  0.764379, Average Loss  0.770739, Time  0.250738
2021-09-22 23:47:51.194835 : Epoch  6, Batch    390, Loss  0.773636, Average Loss  0.772019, Time  0.263755
2021-09-22 23:47:52.867823 : Epoch  6, Batch    535, Loss  0.765015, Average Loss  0.770769, Time  0.250751
2021-09-22 23:47:53.111756 : Epoch  6, Batch    391, Loss  0.766300, Average Loss  0.771959, Time  0.265068
2021-09-22 23:47:55.024942 : Epoch  6, Batch    392, Loss  0.768929, Average Loss  0.771955, Time  0.250907
2021-09-22 23:47:56.580979 : Epoch  6, Batch    536, Loss  0.774142, Average Loss  0.770769, Time  0.250726
2021-09-22 23:47:56.941293 : Epoch  6, Batch    393, Loss  0.759976, Average Loss  0.771873, Time  0.255646
2021-09-22 23:47:58.500808 : Epoch  6, Batch    537, Loss  0.778832, Average Loss  0.770803, Time  0.252516
2021-09-22 23:47:58.843934 : Epoch  6, Batch    394, Loss  0.757005, Average Loss  0.771818, Time  0.252443
2021-09-22 23:48:00.398647 : Epoch  6, Batch    538, Loss  0.777886, Average Loss  0.770870, Time  0.248182
2021-09-22 23:48:00.743735 : Epoch  6, Batch    395, Loss  0.763791, Average Loss  0.771792, Time  0.259274
2021-09-22 23:48:02.316385 : Epoch  6, Batch    539, Loss  0.780809, Average Loss  0.770916, Time  0.254423
2021-09-22 23:48:02.641913 : Epoch  6, Batch    396, Loss  0.770716, Average Loss  0.771785, Time  0.252880
2021-09-22 23:48:04.226503 : Epoch  6, Batch    540, Loss  0.760029, Average Loss  0.770875, Time  0.250847
2021-09-22 23:48:04.544441 : Epoch  6, Batch    397, Loss  0.772967, Average Loss  0.771822, Time  0.251899
2021-09-22 23:48:06.130914 : Epoch  6, Batch    541, Loss  0.766723, Average Loss  0.770821, Time  0.250322
2021-09-22 23:48:06.431202 : Epoch  6, Batch    398, Loss  0.786757, Average Loss  0.771888, Time  0.251731
2021-09-22 23:48:08.039948 : Epoch  6, Batch    542, Loss  0.769274, Average Loss  0.770826, Time  0.254513
2021-09-22 23:48:08.351607 : Epoch  6, Batch    399, Loss  0.770289, Average Loss  0.771855, Time  0.259548
2021-09-22 23:48:09.941230 : Epoch  6, Batch    543, Loss  0.774891, Average Loss  0.770874, Time  0.248214
2021-09-22 23:48:10.280392 : Epoch  6, Batch    400, Loss  0.780802, Average Loss  0.771912, Time  0.251746
2021-09-22 23:48:11.843749 : Epoch  6, Batch    544, Loss  0.777794, Average Loss  0.770914, Time  0.251804
2021-09-22 23:48:12.197218 : Epoch  6, Batch    401, Loss  0.778005, Average Loss  0.771906, Time  0.253702
2021-09-22 23:48:13.749925 : Epoch  6, Batch    545, Loss  0.765705, Average Loss  0.770897, Time  0.250776
2021-09-22 23:48:14.099278 : Epoch  6, Batch    402, Loss  0.763909, Average Loss  0.771871, Time  0.252714
2021-09-22 23:48:15.648955 : Epoch  6, Batch    546, Loss  0.765636, Average Loss  0.770871, Time  0.253296
2021-09-22 23:48:15.999440 : Epoch  6, Batch    403, Loss  0.754131, Average Loss  0.771820, Time  0.253107
2021-09-22 23:48:17.560296 : Epoch  6, Batch    547, Loss  0.766234, Average Loss  0.770880, Time  0.265678
2021-09-22 23:48:17.886300 : Epoch  6, Batch    404, Loss  0.761104, Average Loss  0.771829, Time  0.251107
2021-09-22 23:48:19.465982 : Epoch  6, Batch    548, Loss  0.765632, Average Loss  0.770791, Time  0.248840
2021-09-22 23:48:19.805528 : Epoch  6, Batch    405, Loss  0.765865, Average Loss  0.771803, Time  0.252758
2021-09-22 23:48:21.366947 : Epoch  6, Batch    549, Loss  0.768842, Average Loss  0.770787, Time  0.251873
2021-09-22 23:48:21.713954 : Epoch  6, Batch    406, Loss  0.776315, Average Loss  0.771836, Time  0.253056
2021-09-22 23:48:23.285675 : Epoch  6, Batch    550, Loss  0.759141, Average Loss  0.770712, Time  0.256181
2021-09-22 23:48:23.600499 : Epoch  6, Batch    407, Loss  0.771829, Average Loss  0.771810, Time  0.255069
2021-09-22 23:48:25.198300 : Epoch  6, Batch    551, Loss  0.758454, Average Loss  0.770654, Time  0.249547
2021-09-22 23:48:25.538400 : Epoch  6, Batch    408, Loss  0.778766, Average Loss  0.771853, Time  0.259048
2021-09-22 23:48:27.098498 : Epoch  6, Batch    552, Loss  0.772079, Average Loss  0.770665, Time  0.250560
2021-09-22 23:48:27.448430 : Epoch  6, Batch    409, Loss  0.790898, Average Loss  0.771926, Time  0.251313
2021-09-22 23:48:29.009066 : Epoch  6, Batch    553, Loss  0.776849, Average Loss  0.770702, Time  0.275828
2021-09-22 23:48:29.352589 : Epoch  6, Batch    410, Loss  0.784635, Average Loss  0.771959, Time  0.255087
2021-09-22 23:48:30.912495 : Epoch  6, Batch    554, Loss  0.770971, Average Loss  0.770732, Time  0.249072
2021-09-22 23:48:31.241424 : Epoch  6, Batch    411, Loss  0.777639, Average Loss  0.772041, Time  0.259379
2021-09-22 23:48:32.806888 : Epoch  6, Batch    555, Loss  0.773297, Average Loss  0.770706, Time  0.250933
2021-09-22 23:48:33.140815 : Epoch  6, Batch    412, Loss  0.769651, Average Loss  0.772051, Time  0.255874
2021-09-22 23:48:34.694119 : Epoch  6, Batch    556, Loss  0.775228, Average Loss  0.770739, Time  0.253093
2021-09-22 23:48:35.046793 : Epoch  6, Batch    413, Loss  0.773484, Average Loss  0.771997, Time  0.258765
2021-09-22 23:48:36.582943 : Epoch  6, Batch    557, Loss  0.772985, Average Loss  0.770713, Time  0.247740
2021-09-22 23:48:36.955829 : Epoch  6, Batch    414, Loss  0.780928, Average Loss  0.771993, Time  0.255368
2021-09-22 23:48:38.479791 : Epoch  6, Batch    558, Loss  0.777095, Average Loss  0.770736, Time  0.247752
2021-09-22 23:48:38.857985 : Epoch  6, Batch    415, Loss  0.772863, Average Loss  0.772020, Time  0.256824
2021-09-22 23:48:40.403998 : Epoch  6, Batch    559, Loss  0.772488, Average Loss  0.770717, Time  0.268030
2021-09-22 23:48:40.756312 : Epoch  6, Batch    416, Loss  0.778833, Average Loss  0.772082, Time  0.252630
2021-09-22 23:48:42.300322 : Epoch  6, Batch    560, Loss  0.765020, Average Loss  0.770637, Time  0.249768
2021-09-22 23:48:42.652804 : Epoch  6, Batch    417, Loss  0.761403, Average Loss  0.772056, Time  0.253792
2021-09-22 23:48:44.196105 : Epoch  6, Batch    561, Loss  0.765626, Average Loss  0.770651, Time  0.254019
2021-09-22 23:48:44.584705 : Epoch  6, Batch    418, Loss  0.762852, Average Loss  0.771929, Time  0.253582
2021-09-22 23:48:46.099967 : Epoch  6, Batch    562, Loss  0.758730, Average Loss  0.770640, Time  0.251048
2021-09-22 23:48:46.500292 : Epoch  6, Batch    419, Loss  0.773218, Average Loss  0.771958, Time  0.263449
2021-09-22 23:48:47.994284 : Epoch  6, Batch    563, Loss  0.770467, Average Loss  0.770646, Time  0.251501
2021-09-22 23:48:48.400914 : Epoch  6, Batch    420, Loss  0.784852, Average Loss  0.771999, Time  0.250923
2021-09-22 23:48:49.893099 : Epoch  6, Batch    564, Loss  0.773091, Average Loss  0.770676, Time  0.251376
2021-09-22 23:48:50.295700 : Epoch  6, Batch    421, Loss  0.780857, Average Loss  0.772065, Time  0.254682
2021-09-22 23:48:51.803122 : Epoch  6, Batch    565, Loss  0.771141, Average Loss  0.770615, Time  0.249439
2021-09-22 23:48:52.201941 : Epoch  6, Batch    422, Loss  0.773071, Average Loss  0.772030, Time  0.255792
2021-09-22 23:48:54.107216 : Epoch  6, Batch    423, Loss  0.763361, Average Loss  0.772019, Time  0.251714
2021-09-22 23:48:56.007540 : Epoch  6, Batch    424, Loss  0.773885, Average Loss  0.772032, Time  0.251043
2021-09-22 23:48:57.906807 : Epoch  6, Batch    425, Loss  0.765256, Average Loss  0.771991, Time  0.255631
2021-09-22 23:48:58.069697 : Epoch  6, Batch    426, Loss  0.882945, Average Loss  0.772503, Time  0.116396
2021-09-22 23:49:00.017866 : Epoch  6, Batch    427, Loss  0.769405, Average Loss  0.772465, Time  0.254907
2021-09-22 23:49:01.993870 : Epoch  6, Batch    428, Loss  0.777756, Average Loss  0.772540, Time  0.326730
2021-09-22 23:49:03.912297 : Epoch  6, Batch    429, Loss  0.783784, Average Loss  0.772617, Time  0.251358
2021-09-22 23:49:05.829511 : Epoch  6, Batch    430, Loss  0.771205, Average Loss  0.772643, Time  0.253488
2021-09-22 23:49:07.742365 : Epoch  6, Batch    431, Loss  0.761579, Average Loss  0.772583, Time  0.255559
2021-09-22 23:49:09.642941 : Epoch  6, Batch    432, Loss  0.770440, Average Loss  0.772598, Time  0.254325
2021-09-22 23:49:11.545785 : Epoch  6, Batch    433, Loss  0.769136, Average Loss  0.772546, Time  0.253283
2021-09-22 23:49:13.446935 : Epoch  6, Batch    434, Loss  0.778014, Average Loss  0.772585, Time  0.252835
2021-09-22 23:49:15.442351 : Epoch  6, Batch    435, Loss  0.775488, Average Loss  0.772629, Time  0.329739
2021-09-22 23:49:17.358305 : Epoch  6, Batch    436, Loss  0.776658, Average Loss  0.772607, Time  0.251793
2021-09-22 23:49:21.220112 : Epoch  6, Batch    437, Loss  0.777294, Average Loss  0.772593, Time  0.253036
2021-09-22 23:49:23.148552 : Epoch  6, Batch    438, Loss  0.774067, Average Loss  0.772625, Time  0.268260
2021-09-22 23:49:25.043807 : Epoch  6, Batch    439, Loss  0.770779, Average Loss  0.772605, Time  0.252610
2021-09-22 23:49:27.029721 : Epoch  6, Batch    440, Loss  0.777497, Average Loss  0.772737, Time  0.328691
2021-09-22 23:49:28.952036 : Epoch  6, Batch    441, Loss  0.772191, Average Loss  0.772771, Time  0.257176
2021-09-22 23:49:29.232740 : CheckPoint: Validation Loss  0.00014965, Best Loss  0.00014923
2021-09-22 23:49:30.869040 : Epoch  6, Batch    442, Loss  0.781794, Average Loss  0.772784, Time  0.253809
2021-09-22 23:49:32.766115 : Epoch  6, Batch    443, Loss  0.780873, Average Loss  0.772802, Time  0.253112
2021-09-22 23:49:34.202782 : Epoch  4, Batch     17, Loss  0.875821, Average Loss  0.871043, Time  0.414871
2021-09-22 23:49:34.661334 : Epoch  6, Batch    444, Loss  0.765914, Average Loss  0.772774, Time  0.253902
2021-09-22 23:49:36.571172 : Epoch  6, Batch    445, Loss  0.777747, Average Loss  0.772808, Time  0.263120
2021-09-22 23:49:38.469047 : Epoch  6, Batch    446, Loss  0.769093, Average Loss  0.772784, Time  0.256191
2021-09-22 23:49:39.162468 : Epoch  4, Batch     18, Loss  0.874332, Average Loss  0.871117, Time  0.413543
2021-09-22 23:49:40.442764 : Epoch  6, Batch    447, Loss  0.789432, Average Loss  0.772850, Time  0.326114
2021-09-22 23:49:42.357921 : Epoch  6, Batch    448, Loss  0.778716, Average Loss  0.772863, Time  0.255924
2021-09-22 23:49:44.109984 : Epoch  4, Batch     19, Loss  0.872018, Average Loss  0.871112, Time  0.412948
2021-09-22 23:49:44.257248 : Epoch  6, Batch    449, Loss  0.774504, Average Loss  0.772838, Time  0.253566
2021-09-22 23:49:46.163464 : Epoch  6, Batch    450, Loss  0.773669, Average Loss  0.772873, Time  0.251081
2021-09-22 23:49:48.076893 : Epoch  6, Batch    451, Loss  0.770401, Average Loss  0.772848, Time  0.253907
2021-09-22 23:49:49.074784 : Epoch  4, Batch     20, Loss  0.870807, Average Loss  0.871115, Time  0.413229
2021-09-22 23:49:49.967589 : Epoch  6, Batch    452, Loss  0.773156, Average Loss  0.772811, Time  0.252345
2021-09-22 23:49:51.934897 : Epoch  6, Batch    453, Loss  0.770710, Average Loss  0.772798, Time  0.302623
2021-09-22 23:49:53.824840 : Epoch  6, Batch    454, Loss  0.770034, Average Loss  0.772810, Time  0.251385
2021-09-22 23:49:54.038095 : Epoch  4, Batch     21, Loss  0.858265, Average Loss  0.871014, Time  0.412704
2021-09-22 23:49:55.737867 : Epoch  6, Batch    455, Loss  0.770255, Average Loss  0.772873, Time  0.251665
2021-09-22 23:49:57.648051 : Epoch  6, Batch    456, Loss  0.774307, Average Loss  0.772869, Time  0.251880
2021-09-22 23:49:58.982988 : Epoch  4, Batch     22, Loss  0.878875, Average Loss  0.871026, Time  0.416023
2021-09-22 23:49:59.564089 : Epoch  6, Batch    457, Loss  0.772400, Average Loss  0.772825, Time  0.252925
2021-09-22 23:50:01.489654 : Epoch  6, Batch    458, Loss  0.773313, Average Loss  0.772832, Time  0.256526
2021-09-22 23:50:02.436735 : CheckPoint: Validation Loss  0.00031957, Best Loss  0.00030606
2021-09-22 23:50:03.393847 : Epoch  6, Batch    459, Loss  0.773997, Average Loss  0.772804, Time  0.252650
2021-09-22 23:50:03.959774 : Epoch  4, Batch     23, Loss  0.869101, Average Loss  0.870986, Time  0.413148
2021-09-22 23:50:04.353554 : Epoch  6, Batch    566, Loss  0.772017, Average Loss  0.770627, Time  0.252773
2021-09-22 23:50:05.296310 : Epoch  6, Batch    460, Loss  0.772173, Average Loss  0.772810, Time  0.253246
2021-09-22 23:50:06.229925 : Epoch  6, Batch    567, Loss  0.767401, Average Loss  0.770606, Time  0.258052
2021-09-22 23:50:07.207877 : Epoch  6, Batch    461, Loss  0.771570, Average Loss  0.772799, Time  0.253772
2021-09-22 23:50:08.103789 : Epoch  6, Batch    568, Loss  0.773116, Average Loss  0.770636, Time  0.250863
2021-09-22 23:50:08.976795 : Epoch  4, Batch     24, Loss  0.874697, Average Loss  0.871062, Time  0.450474
2021-09-22 23:50:09.127979 : Epoch  6, Batch    462, Loss  0.783169, Average Loss  0.772891, Time  0.255208
2021-09-22 23:50:09.980982 : Epoch  6, Batch    569, Loss  0.779743, Average Loss  0.770687, Time  0.252003
2021-09-22 23:50:11.068830 : Epoch  6, Batch    463, Loss  0.777102, Average Loss  0.772855, Time  0.266262
2021-09-22 23:50:11.864655 : Epoch  6, Batch    570, Loss  0.768987, Average Loss  0.770627, Time  0.251462
2021-09-22 23:50:12.985743 : Epoch  6, Batch    464, Loss  0.773613, Average Loss  0.772911, Time  0.252254
2021-09-22 23:50:13.751491 : Epoch  6, Batch    571, Loss  0.772404, Average Loss  0.770607, Time  0.249005
2021-09-22 23:50:13.922949 : Epoch  4, Batch     25, Loss  0.858200, Average Loss  0.871086, Time  0.413701
2021-09-22 23:50:14.901239 : Epoch  6, Batch    465, Loss  0.764791, Average Loss  0.772841, Time  0.253908
2021-09-22 23:50:15.634809 : Epoch  6, Batch    572, Loss  0.781487, Average Loss  0.770655, Time  0.250012
2021-09-22 23:50:17.538261 : Epoch  6, Batch    573, Loss  0.773080, Average Loss  0.770650, Time  0.248505
2021-09-22 23:50:18.872195 : Epoch  4, Batch     26, Loss  0.860004, Average Loss  0.871068, Time  0.413819
2021-09-22 23:50:19.451905 : Epoch  6, Batch    574, Loss  0.774523, Average Loss  0.770674, Time  0.248049
2021-09-22 23:50:21.341320 : Epoch  6, Batch    575, Loss  0.772424, Average Loss  0.770668, Time  0.248706
2021-09-22 23:50:23.249606 : Epoch  6, Batch    576, Loss  0.772705, Average Loss  0.770684, Time  0.251777
2021-09-22 23:50:23.834891 : Epoch  4, Batch     27, Loss  0.870503, Average Loss  0.871058, Time  0.412945
2021-09-22 23:50:25.136746 : Epoch  6, Batch    577, Loss  0.763692, Average Loss  0.770669, Time  0.252402
2021-09-22 23:50:27.048063 : Epoch  6, Batch    578, Loss  0.764696, Average Loss  0.770641, Time  0.254593
2021-09-22 23:50:28.797763 : Epoch  4, Batch     28, Loss  0.883363, Average Loss  0.871168, Time  0.414002
2021-09-22 23:50:29.010704 : Epoch  6, Batch    579, Loss  0.775837, Average Loss  0.770658, Time  0.322792
2021-09-22 23:50:30.928238 : Epoch  6, Batch    580, Loss  0.765984, Average Loss  0.770656, Time  0.248126
2021-09-22 23:50:32.808367 : Epoch  6, Batch    581, Loss  0.779505, Average Loss  0.770740, Time  0.250308
2021-09-22 23:50:33.772735 : Epoch  4, Batch     29, Loss  0.879091, Average Loss  0.871238, Time  0.413326
2021-09-22 23:50:34.715749 : Epoch  6, Batch    582, Loss  0.771985, Average Loss  0.770690, Time  0.253708
2021-09-22 23:50:36.620907 : Epoch  6, Batch    583, Loss  0.774074, Average Loss  0.770742, Time  0.257488
2021-09-22 23:50:38.507192 : Epoch  6, Batch    584, Loss  0.769004, Average Loss  0.770697, Time  0.250299
2021-09-22 23:50:38.747766 : Epoch  4, Batch     30, Loss  0.861384, Average Loss  0.871144, Time  0.414570
2021-09-22 23:50:40.388010 : Epoch  6, Batch    585, Loss  0.777158, Average Loss  0.770723, Time  0.250065
2021-09-22 23:50:42.347952 : Epoch  6, Batch    586, Loss  0.772728, Average Loss  0.770720, Time  0.332375
2021-09-22 23:50:43.704175 : Epoch  4, Batch     31, Loss  0.888996, Average Loss  0.871175, Time  0.413568
2021-09-22 23:50:44.270789 : Epoch  6, Batch    587, Loss  0.772212, Average Loss  0.770733, Time  0.255665
2021-09-22 23:50:46.162341 : Epoch  6, Batch    588, Loss  0.768615, Average Loss  0.770747, Time  0.256749
2021-09-22 23:50:48.043629 : Epoch  6, Batch    589, Loss  0.772930, Average Loss  0.770765, Time  0.250303
2021-09-22 23:50:48.675198 : Epoch  4, Batch     32, Loss  0.887762, Average Loss  0.871162, Time  0.413409
2021-09-22 23:50:49.924986 : Epoch  6, Batch    590, Loss  0.771061, Average Loss  0.770717, Time  0.249774
2021-09-22 23:50:51.828717 : Epoch  6, Batch    591, Loss  0.773619, Average Loss  0.770707, Time  0.247919
2021-09-22 23:50:53.660980 : Epoch  4, Batch     33, Loss  0.869761, Average Loss  0.871105, Time  0.428273
2021-09-22 23:50:53.711840 : Epoch  6, Batch    592, Loss  0.765405, Average Loss  0.770744, Time  0.253973
2021-09-22 23:50:55.689407 : Epoch  6, Batch    593, Loss  0.774206, Average Loss  0.770779, Time  0.324147
2021-09-22 23:50:57.566143 : Epoch  6, Batch    594, Loss  0.784535, Average Loss  0.770859, Time  0.251486
2021-09-22 23:50:58.619734 : Epoch  4, Batch     34, Loss  0.868857, Average Loss  0.871152, Time  0.413188
2021-09-22 23:50:59.448442 : Epoch  6, Batch    595, Loss  0.769380, Average Loss  0.770748, Time  0.248336
2021-09-22 23:51:01.324838 : Epoch  6, Batch    596, Loss  0.772822, Average Loss  0.770803, Time  0.251663
2021-09-22 23:51:03.218860 : Epoch  6, Batch    597, Loss  0.783705, Average Loss  0.770922, Time  0.247944
2021-09-22 23:51:03.589900 : Epoch  4, Batch     35, Loss  0.864910, Average Loss  0.871088, Time  0.413293
2021-09-22 23:51:05.097179 : Epoch  6, Batch    598, Loss  0.771375, Average Loss  0.770926, Time  0.250378
2021-09-22 23:51:06.979299 : Epoch  6, Batch    599, Loss  0.757584, Average Loss  0.770845, Time  0.250562
2021-09-22 23:51:08.545024 : Epoch  4, Batch     36, Loss  0.878725, Average Loss  0.871159, Time  0.413469
2021-09-22 23:51:08.854601 : Epoch  6, Batch    600, Loss  0.763245, Average Loss  0.770856, Time  0.252535
2021-09-22 23:51:10.814661 : Epoch  6, Batch    601, Loss  0.772412, Average Loss  0.770889, Time  0.324341
2021-09-22 23:51:12.716323 : Epoch  6, Batch    602, Loss  0.770028, Average Loss  0.770875, Time  0.260001
2021-09-22 23:51:13.524158 : Epoch  4, Batch     37, Loss  0.875592, Average Loss  0.871154, Time  0.413988
2021-09-22 23:51:14.611255 : Epoch  6, Batch    603, Loss  0.770644, Average Loss  0.770839, Time  0.248735
2021-09-22 23:51:16.495898 : Epoch  6, Batch    604, Loss  0.758915, Average Loss  0.770809, Time  0.250005
2021-09-22 23:51:18.409969 : Epoch  6, Batch    605, Loss  0.787718, Average Loss  0.770971, Time  0.247875
2021-09-22 23:51:18.484163 : Epoch  4, Batch     38, Loss  0.853390, Average Loss  0.871074, Time  0.414337
2021-09-22 23:51:20.285686 : Epoch  6, Batch    606, Loss  0.769377, Average Loss  0.770929, Time  0.248643
2021-09-22 23:51:22.183828 : Epoch  6, Batch    607, Loss  0.782983, Average Loss  0.771045, Time  0.250728
2021-09-22 23:51:23.442284 : Epoch  4, Batch     39, Loss  0.884267, Average Loss  0.871132, Time  0.414039
2021-09-22 23:51:24.167269 : Epoch  6, Batch    608, Loss  0.766590, Average Loss  0.770996, Time  0.325341
2021-09-22 23:51:26.039037 : Epoch  6, Batch    609, Loss  0.776835, Average Loss  0.771015, Time  0.248779
2021-09-22 23:51:26.343738 : CheckPoint: Validation Loss  0.00032196, Best Loss  0.00030514
2021-09-22 23:51:27.919854 : Epoch  6, Batch    610, Loss  0.767613, Average Loss  0.771020, Time  0.252375
2021-09-22 23:51:28.250581 : Epoch  6, Batch    466, Loss  0.760103, Average Loss  0.772824, Time  0.254286
2021-09-22 23:51:28.404765 : Epoch  4, Batch     40, Loss  0.863953, Average Loss  0.871131, Time  0.413478
2021-09-22 23:51:29.811291 : Epoch  6, Batch    611, Loss  0.760625, Average Loss  0.770916, Time  0.253240
2021-09-22 23:51:30.146847 : Epoch  6, Batch    467, Loss  0.778686, Average Loss  0.772829, Time  0.257616
2021-09-22 23:51:31.716414 : Epoch  6, Batch    612, Loss  0.771989, Average Loss  0.770833, Time  0.255411
2021-09-22 23:51:32.088980 : Epoch  6, Batch    468, Loss  0.777353, Average Loss  0.772862, Time  0.251416
2021-09-22 23:51:33.367142 : Epoch  4, Batch     41, Loss  0.868610, Average Loss  0.871141, Time  0.413446
2021-09-22 23:51:33.602796 : Epoch  6, Batch    613, Loss  0.784788, Average Loss  0.770863, Time  0.250087
2021-09-22 23:51:33.985028 : Epoch  6, Batch    469, Loss  0.772648, Average Loss  0.772874, Time  0.253898
2021-09-22 23:51:35.504322 : Epoch  6, Batch    614, Loss  0.768886, Average Loss  0.770860, Time  0.255688
2021-09-22 23:51:35.882530 : Epoch  6, Batch    470, Loss  0.777297, Average Loss  0.772902, Time  0.254524
2021-09-22 23:51:37.374682 : Epoch  6, Batch    615, Loss  0.769516, Average Loss  0.770876, Time  0.251634
2021-09-22 23:51:37.828916 : Epoch  6, Batch    471, Loss  0.778418, Average Loss  0.772931, Time  0.251386
2021-09-22 23:51:38.407253 : Epoch  4, Batch     42, Loss  0.873432, Average Loss  0.871192, Time  0.466464
2021-09-22 23:51:39.268926 : Epoch  6, Batch    616, Loss  0.763455, Average Loss  0.770851, Time  0.256967
2021-09-22 23:51:39.711921 : Epoch  6, Batch    472, Loss  0.773099, Average Loss  0.772935, Time  0.252087
2021-09-22 23:51:41.148252 : Epoch  6, Batch    617, Loss  0.762166, Average Loss  0.770818, Time  0.251502
2021-09-22 23:51:41.616341 : Epoch  6, Batch    473, Loss  0.761660, Average Loss  0.772907, Time  0.252538
2021-09-22 23:51:43.039247 : Epoch  6, Batch    618, Loss  0.787025, Average Loss  0.770790, Time  0.255905
2021-09-22 23:51:43.374165 : Epoch  4, Batch     43, Loss  0.879643, Average Loss  0.871211, Time  0.419879
2021-09-22 23:51:43.517012 : Epoch  6, Batch    474, Loss  0.773563, Average Loss  0.772896, Time  0.252354
2021-09-22 23:51:44.918728 : Epoch  6, Batch    619, Loss  0.765782, Average Loss  0.770754, Time  0.248148
2021-09-22 23:51:45.446869 : Epoch  6, Batch    475, Loss  0.767990, Average Loss  0.772808, Time  0.258714
2021-09-22 23:51:46.808936 : Epoch  6, Batch    620, Loss  0.771950, Average Loss  0.770811, Time  0.252277
2021-09-22 23:51:47.349763 : Epoch  6, Batch    476, Loss  0.786007, Average Loss  0.772948, Time  0.253476
2021-09-22 23:51:48.328086 : Epoch  4, Batch     44, Loss  0.870270, Average Loss  0.871258, Time  0.412896
2021-09-22 23:51:48.703197 : Epoch  6, Batch    621, Loss  0.766959, Average Loss  0.770831, Time  0.247788
2021-09-22 23:51:49.274186 : Epoch  6, Batch    477, Loss  0.770019, Average Loss  0.772917, Time  0.253109
2021-09-22 23:51:50.586750 : Epoch  6, Batch    622, Loss  0.770040, Average Loss  0.770869, Time  0.253083
2021-09-22 23:51:51.189863 : Epoch  6, Batch    478, Loss  0.768685, Average Loss  0.772877, Time  0.252878
2021-09-22 23:51:52.484612 : Epoch  6, Batch    623, Loss  0.765257, Average Loss  0.770818, Time  0.249100
2021-09-22 23:51:53.099365 : Epoch  6, Batch    479, Loss  0.783709, Average Loss  0.772916, Time  0.252490
2021-09-22 23:51:53.322782 : Epoch  4, Batch     45, Loss  0.866598, Average Loss  0.871200, Time  0.424020
2021-09-22 23:51:54.342755 : Epoch  6, Batch    624, Loss  0.779251, Average Loss  0.770851, Time  0.249048
2021-09-22 23:51:55.006968 : Epoch  6, Batch    480, Loss  0.766774, Average Loss  0.772869, Time  0.254306
2021-09-22 23:51:56.229303 : Epoch  6, Batch    625, Loss  0.765854, Average Loss  0.770854, Time  0.252920
2021-09-22 23:51:56.923273 : Epoch  6, Batch    481, Loss  0.779020, Average Loss  0.772857, Time  0.252237
2021-09-22 23:51:58.114654 : Epoch  6, Batch    626, Loss  0.770127, Average Loss  0.770868, Time  0.250326
2021-09-22 23:51:58.268779 : Epoch  4, Batch     46, Loss  0.873563, Average Loss  0.871267, Time  0.413804
2021-09-22 23:51:58.835219 : Epoch  6, Batch    482, Loss  0.773476, Average Loss  0.772928, Time  0.254630
2021-09-22 23:51:59.994230 : Epoch  6, Batch    627, Loss  0.761186, Average Loss  0.770803, Time  0.252423
2021-09-22 23:52:00.746172 : Epoch  6, Batch    483, Loss  0.765702, Average Loss  0.772857, Time  0.251675
2021-09-22 23:52:01.906469 : Epoch  6, Batch    628, Loss  0.778008, Average Loss  0.770790, Time  0.249208
2021-09-22 23:52:02.679139 : Epoch  6, Batch    484, Loss  0.765004, Average Loss  0.772803, Time  0.253072
2021-09-22 23:52:03.221876 : Epoch  4, Batch     47, Loss  0.882306, Average Loss  0.871300, Time  0.413223
2021-09-22 23:52:03.800113 : Epoch  6, Batch    629, Loss  0.775304, Average Loss  0.770790, Time  0.253454
2021-09-22 23:52:04.587362 : Epoch  6, Batch    485, Loss  0.777520, Average Loss  0.772806, Time  0.252346
2021-09-22 23:52:05.708997 : Epoch  6, Batch    630, Loss  0.767127, Average Loss  0.770811, Time  0.257041
2021-09-22 23:52:06.500220 : Epoch  6, Batch    486, Loss  0.763540, Average Loss  0.772792, Time  0.255429
2021-09-22 23:52:07.587849 : Epoch  6, Batch    631, Loss  0.760351, Average Loss  0.770642, Time  0.248616
2021-09-22 23:52:08.184011 : Epoch  4, Batch     48, Loss  0.873191, Average Loss  0.871325, Time  0.413198
2021-09-22 23:52:08.406998 : Epoch  6, Batch    487, Loss  0.773976, Average Loss  0.772864, Time  0.257064
2021-09-22 23:52:09.479184 : Epoch  6, Batch    632, Loss  0.772612, Average Loss  0.770691, Time  0.258669
2021-09-22 23:52:10.296825 : Epoch  6, Batch    488, Loss  0.766441, Average Loss  0.772854, Time  0.252986
2021-09-22 23:52:11.349382 : Epoch  6, Batch    633, Loss  0.772252, Average Loss  0.770679, Time  0.249323
2021-09-22 23:52:12.229318 : Epoch  6, Batch    489, Loss  0.775536, Average Loss  0.772844, Time  0.268035
2021-09-22 23:52:13.167728 : Epoch  4, Batch     49, Loss  0.880182, Average Loss  0.871391, Time  0.413474
2021-09-22 23:52:13.243037 : Epoch  6, Batch    634, Loss  0.764370, Average Loss  0.770660, Time  0.248470
2021-09-22 23:52:14.131402 : Epoch  6, Batch    490, Loss  0.761454, Average Loss  0.772801, Time  0.252095
2021-09-22 23:52:15.113830 : Epoch  6, Batch    635, Loss  0.765984, Average Loss  0.770632, Time  0.252304
2021-09-22 23:52:16.049856 : Epoch  6, Batch    491, Loss  0.773846, Average Loss  0.772899, Time  0.253647
2021-09-22 23:52:17.961637 : Epoch  6, Batch    492, Loss  0.767128, Average Loss  0.772933, Time  0.252404
2021-09-22 23:52:18.176783 : Epoch  4, Batch     50, Loss  0.861923, Average Loss  0.871440, Time  0.415048
2021-09-22 23:52:18.778089 : Epoch  6, Batch    636, Loss  0.784033, Average Loss  0.770699, Time  0.250716
2021-09-22 23:52:19.866290 : Epoch  6, Batch    493, Loss  0.778369, Average Loss  0.773001, Time  0.255213
2021-09-22 23:52:20.664810 : Epoch  6, Batch    637, Loss  0.773064, Average Loss  0.770714, Time  0.248421
2021-09-22 23:52:21.780489 : Epoch  6, Batch    494, Loss  0.774133, Average Loss  0.772987, Time  0.252231
2021-09-22 23:52:22.551280 : Epoch  6, Batch    638, Loss  0.768149, Average Loss  0.770737, Time  0.252811
2021-09-22 23:52:23.144121 : Epoch  4, Batch     51, Loss  0.884062, Average Loss  0.871537, Time  0.413788
2021-09-22 23:52:23.679484 : Epoch  6, Batch    495, Loss  0.763111, Average Loss  0.772929, Time  0.252256
2021-09-22 23:52:24.433772 : Epoch  6, Batch    639, Loss  0.763003, Average Loss  0.770711, Time  0.249025
2021-09-22 23:52:25.598034 : Epoch  6, Batch    496, Loss  0.772728, Average Loss  0.772957, Time  0.253995
2021-09-22 23:52:26.326750 : Epoch  6, Batch    640, Loss  0.767074, Average Loss  0.770655, Time  0.253491
2021-09-22 23:52:27.503284 : Epoch  6, Batch    497, Loss  0.770509, Average Loss  0.772950, Time  0.259496
2021-09-22 23:52:28.171926 : Epoch  4, Batch     52, Loss  0.876972, Average Loss  0.871498, Time  0.459917
2021-09-22 23:52:28.194850 : Epoch  6, Batch    641, Loss  0.779031, Average Loss  0.770706, Time  0.250420
2021-09-22 23:52:29.385825 : Epoch  6, Batch    498, Loss  0.779229, Average Loss  0.772881, Time  0.251178
2021-09-22 23:52:30.084458 : Epoch  6, Batch    642, Loss  0.771212, Average Loss  0.770691, Time  0.256055
2021-09-22 23:52:31.311546 : Epoch  6, Batch    499, Loss  0.777858, Average Loss  0.772934, Time  0.254221
2021-09-22 23:52:31.969451 : Epoch  6, Batch    643, Loss  0.782177, Average Loss  0.770801, Time  0.249626
2021-09-22 23:52:33.149063 : Epoch  4, Batch     53, Loss  0.869453, Average Loss  0.871458, Time  0.414023
2021-09-22 23:52:33.214821 : Epoch  6, Batch    500, Loss  0.774728, Average Loss  0.772922, Time  0.252201
2021-09-22 23:52:33.866398 : Epoch  6, Batch    644, Loss  0.775841, Average Loss  0.770798, Time  0.249742
2021-09-22 23:52:35.109844 : Epoch  6, Batch    501, Loss  0.768256, Average Loss  0.772924, Time  0.257989
2021-09-22 23:52:35.770777 : Epoch  6, Batch    645, Loss  0.779085, Average Loss  0.770864, Time  0.252618
2021-09-22 23:52:37.019110 : Epoch  6, Batch    502, Loss  0.768232, Average Loss  0.772922, Time  0.251466
2021-09-22 23:52:37.650908 : Epoch  6, Batch    646, Loss  0.766501, Average Loss  0.770775, Time  0.248369
2021-09-22 23:52:38.121948 : Epoch  4, Batch     54, Loss  0.860781, Average Loss  0.871478, Time  0.413453
2021-09-22 23:52:38.952080 : Epoch  6, Batch    503, Loss  0.779545, Average Loss  0.772945, Time  0.254360
2021-09-22 23:52:39.546564 : Epoch  6, Batch    647, Loss  0.779009, Average Loss  0.770804, Time  0.251659
2021-09-22 23:52:40.850242 : Epoch  6, Batch    504, Loss  0.776506, Average Loss  0.772943, Time  0.253011
2021-09-22 23:52:41.440005 : Epoch  6, Batch    648, Loss  0.772241, Average Loss  0.770733, Time  0.250761
2021-09-22 23:52:42.776010 : Epoch  6, Batch    505, Loss  0.774913, Average Loss  0.772988, Time  0.257922
2021-09-22 23:52:43.089750 : Epoch  4, Batch     55, Loss  0.875233, Average Loss  0.871464, Time  0.413095
2021-09-22 23:52:43.331833 : Epoch  6, Batch    649, Loss  0.769483, Average Loss  0.770695, Time  0.262902
2021-09-22 23:52:44.681281 : Epoch  6, Batch    506, Loss  0.781127, Average Loss  0.773029, Time  0.257994
2021-09-22 23:52:45.218515 : Epoch  6, Batch    650, Loss  0.777103, Average Loss  0.770698, Time  0.249620
2021-09-22 23:52:46.596994 : Epoch  6, Batch    507, Loss  0.767044, Average Loss  0.773093, Time  0.255950
2021-09-22 23:52:47.108885 : Epoch  6, Batch    651, Loss  0.783544, Average Loss  0.770724, Time  0.249278
2021-09-22 23:52:48.055098 : Epoch  4, Batch     56, Loss  0.874473, Average Loss  0.871483, Time  0.413022
2021-09-22 23:52:48.503297 : Epoch  6, Batch    508, Loss  0.763746, Average Loss  0.773076, Time  0.253768
2021-09-22 23:52:48.988265 : Epoch  6, Batch    652, Loss  0.778709, Average Loss  0.770831, Time  0.256634
2021-09-22 23:52:50.391215 : Epoch  6, Batch    509, Loss  0.761484, Average Loss  0.773027, Time  0.252978
2021-09-22 23:52:50.864960 : Epoch  6, Batch    653, Loss  0.771995, Average Loss  0.770846, Time  0.248818
2021-09-22 23:52:52.308050 : Epoch  6, Batch    510, Loss  0.782980, Average Loss  0.773047, Time  0.252438
2021-09-22 23:52:52.739578 : Epoch  6, Batch    654, Loss  0.758650, Average Loss  0.770812, Time  0.251541
2021-09-22 23:52:53.078813 : Epoch  4, Batch     57, Loss  0.872615, Average Loss  0.871475, Time  0.414978
2021-09-22 23:52:54.216107 : Epoch  6, Batch    511, Loss  0.771398, Average Loss  0.772993, Time  0.254213
2021-09-22 23:52:54.642361 : Epoch  6, Batch    655, Loss  0.768582, Average Loss  0.770769, Time  0.257992
2021-09-22 23:52:56.119275 : Epoch  6, Batch    512, Loss  0.774358, Average Loss  0.773038, Time  0.256883
2021-09-22 23:52:56.517055 : Epoch  6, Batch    656, Loss  0.789962, Average Loss  0.770836, Time  0.250817
2021-09-22 23:52:58.022924 : Epoch  6, Batch    513, Loss  0.777890, Average Loss  0.773036, Time  0.254044
2021-09-22 23:52:58.046784 : Epoch  4, Batch     58, Loss  0.873341, Average Loss  0.871500, Time  0.413843
2021-09-22 23:52:58.384949 : Epoch  6, Batch    657, Loss  0.773609, Average Loss  0.770813, Time  0.249835
2021-09-22 23:52:59.945395 : Epoch  6, Batch    514, Loss  0.756482, Average Loss  0.772918, Time  0.255363
2021-09-22 23:53:00.274260 : Epoch  6, Batch    658, Loss  0.771828, Average Loss  0.770821, Time  0.258256
2021-09-22 23:53:01.850336 : Epoch  6, Batch    515, Loss  0.772187, Average Loss  0.772904, Time  0.253749
2021-09-22 23:53:02.164874 : Epoch  6, Batch    659, Loss  0.766457, Average Loss  0.770802, Time  0.250933
2021-09-22 23:53:03.037243 : Epoch  4, Batch     59, Loss  0.862738, Average Loss  0.871458, Time  0.413498
2021-09-22 23:53:03.748511 : Epoch  6, Batch    516, Loss  0.764227, Average Loss  0.772857, Time  0.251361
2021-09-22 23:53:04.064011 : Epoch  6, Batch    660, Loss  0.764138, Average Loss  0.770798, Time  0.250557
2021-09-22 23:53:05.646837 : Epoch  6, Batch    517, Loss  0.769188, Average Loss  0.772856, Time  0.255024
2021-09-22 23:53:05.933711 : Epoch  6, Batch    661, Loss  0.773607, Average Loss  0.770854, Time  0.252856
2021-09-22 23:53:07.534892 : Epoch  6, Batch    518, Loss  0.768222, Average Loss  0.772796, Time  0.251273
2021-09-22 23:53:07.793571 : Epoch  6, Batch    662, Loss  0.776891, Average Loss  0.770932, Time  0.248826
2021-09-22 23:53:07.996747 : Epoch  4, Batch     60, Loss  0.874805, Average Loss  0.871486, Time  0.412949
2021-09-22 23:53:09.449885 : Epoch  6, Batch    519, Loss  0.779252, Average Loss  0.772792, Time  0.252156
2021-09-22 23:53:09.682655 : Epoch  6, Batch    663, Loss  0.771461, Average Loss  0.770926, Time  0.276570
2021-09-22 23:53:11.419981 : Epoch  6, Batch    520, Loss  0.754416, Average Loss  0.772708, Time  0.309592
2021-09-22 23:53:11.590069 : Epoch  6, Batch    664, Loss  0.786117, Average Loss  0.771030, Time  0.279992
2021-09-22 23:53:12.960303 : Epoch  4, Batch     61, Loss  0.874702, Average Loss  0.871546, Time  0.413340
2021-09-22 23:53:13.499793 : Epoch  6, Batch    521, Loss  0.764957, Average Loss  0.772668, Time  0.424115
2021-09-22 23:53:13.591981 : Epoch  6, Batch    665, Loss  0.766948, Average Loss  0.771044, Time  0.391243
2021-09-22 23:53:15.414824 : Epoch  6, Batch    522, Loss  0.767104, Average Loss  0.772602, Time  0.257363
2021-09-22 23:53:17.316296 : Epoch  6, Batch    523, Loss  0.779284, Average Loss  0.772640, Time  0.252367
2021-09-22 23:53:18.003765 : Epoch  4, Batch     62, Loss  0.886818, Average Loss  0.871650, Time  0.450036
2021-09-22 23:53:19.215156 : Epoch  6, Batch    524, Loss  0.779961, Average Loss  0.772710, Time  0.255262
2021-09-22 23:53:21.127044 : Epoch  6, Batch    525, Loss  0.760610, Average Loss  0.772670, Time  0.254290
2021-09-22 23:53:22.970864 : Epoch  4, Batch     63, Loss  0.871847, Average Loss  0.871703, Time  0.413941
2021-09-22 23:53:23.047723 : Epoch  6, Batch    526, Loss  0.769952, Average Loss  0.772674, Time  0.254219
2021-09-22 23:53:24.959579 : Epoch  6, Batch    527, Loss  0.763070, Average Loss  0.772641, Time  0.257267
2021-09-22 23:53:26.882041 : Epoch  6, Batch    528, Loss  0.766729, Average Loss  0.772606, Time  0.257680
2021-09-22 23:53:27.937909 : Epoch  4, Batch     64, Loss  0.865953, Average Loss  0.871615, Time  0.414131
2021-09-22 23:53:28.810313 : Epoch  6, Batch    529, Loss  0.758154, Average Loss  0.772540, Time  0.275047
2021-09-22 23:53:30.728387 : Epoch  6, Batch    530, Loss  0.785125, Average Loss  0.772563, Time  0.255069
2021-09-22 23:53:32.640760 : Epoch  6, Batch    531, Loss  0.774709, Average Loss  0.772551, Time  0.256531
2021-09-22 23:53:32.895725 : Epoch  4, Batch     65, Loss  0.870565, Average Loss  0.871632, Time  0.413630
2021-09-22 23:53:34.537372 : Epoch  6, Batch    532, Loss  0.771890, Average Loss  0.772559, Time  0.252221
2021-09-22 23:53:36.436991 : Epoch  6, Batch    533, Loss  0.762290, Average Loss  0.772520, Time  0.257282
2021-09-22 23:53:37.865144 : Epoch  4, Batch     66, Loss  0.868256, Average Loss  0.871567, Time  0.414647
2021-09-22 23:53:38.339196 : Epoch  6, Batch    534, Loss  0.778564, Average Loss  0.772533, Time  0.257821
2021-09-22 23:53:40.340661 : Epoch  6, Batch    535, Loss  0.769316, Average Loss  0.772534, Time  0.331536
2021-09-22 23:53:42.844227 : Epoch  4, Batch     67, Loss  0.863458, Average Loss  0.871561, Time  0.414057
2021-09-22 23:53:44.145274 : Epoch  6, Batch    536, Loss  0.766891, Average Loss  0.772528, Time  0.255867
2021-09-22 23:53:46.042457 : Epoch  6, Batch    537, Loss  0.760325, Average Loss  0.772548, Time  0.254037
2021-09-22 23:53:47.813774 : Epoch  4, Batch     68, Loss  0.873832, Average Loss  0.871526, Time  0.413170
2021-09-22 23:53:47.930088 : Epoch  6, Batch    538, Loss  0.775365, Average Loss  0.772529, Time  0.252703
2021-09-22 23:53:49.833873 : Epoch  6, Batch    539, Loss  0.775231, Average Loss  0.772514, Time  0.258377
2021-09-22 23:53:51.824875 : Epoch  6, Batch    540, Loss  0.771864, Average Loss  0.772528, Time  0.329358
2021-09-22 23:53:52.819002 : Epoch  4, Batch     69, Loss  0.882494, Average Loss  0.871610, Time  0.413370
2021-09-22 23:53:53.742247 : Epoch  6, Batch    541, Loss  0.776765, Average Loss  0.772553, Time  0.253607
2021-09-22 23:53:55.656985 : Epoch  6, Batch    542, Loss  0.762296, Average Loss  0.772514, Time  0.263205
2021-09-22 23:53:57.578933 : Epoch  6, Batch    543, Loss  0.766802, Average Loss  0.772521, Time  0.252984
2021-09-22 23:53:57.836930 : Epoch  4, Batch     70, Loss  0.869600, Average Loss  0.871672, Time  0.413234
2021-09-22 23:53:59.489678 : Epoch  6, Batch    544, Loss  0.768714, Average Loss  0.772483, Time  0.263208
2021-09-22 23:54:01.428341 : Epoch  6, Batch    545, Loss  0.764736, Average Loss  0.772470, Time  0.286645
2021-09-22 23:54:02.905003 : Epoch  4, Batch     71, Loss  0.858724, Average Loss  0.871573, Time  0.459373
2021-09-22 23:54:03.441223 : Epoch  6, Batch    546, Loss  0.766957, Average Loss  0.772485, Time  0.328494
2021-09-22 23:54:05.376063 : Epoch  6, Batch    547, Loss  0.770169, Average Loss  0.772550, Time  0.256189
2021-09-22 23:54:07.272917 : Epoch  6, Batch    548, Loss  0.764975, Average Loss  0.772508, Time  0.257723
2021-09-22 23:54:07.860135 : Epoch  4, Batch     72, Loss  0.870795, Average Loss  0.871531, Time  0.413257
2021-09-22 23:54:09.191317 : Epoch  6, Batch    549, Loss  0.768942, Average Loss  0.772494, Time  0.254012
2021-09-22 23:54:11.094118 : Epoch  6, Batch    550, Loss  0.780776, Average Loss  0.772549, Time  0.260830
2021-09-22 23:54:12.842804 : Epoch  4, Batch     73, Loss  0.876437, Average Loss  0.871595, Time  0.413269
2021-09-22 23:54:12.998094 : Epoch  6, Batch    551, Loss  0.777363, Average Loss  0.772579, Time  0.255837
2021-09-22 23:54:14.986335 : Epoch  6, Batch    552, Loss  0.772017, Average Loss  0.772595, Time  0.331950
2021-09-22 23:54:16.892087 : Epoch  6, Batch    553, Loss  0.767255, Average Loss  0.772592, Time  0.253609
2021-09-22 23:54:17.794827 : Epoch  4, Batch     74, Loss  0.873382, Average Loss  0.871586, Time  0.413388
2021-09-22 23:54:18.785802 : Epoch  6, Batch    554, Loss  0.768905, Average Loss  0.772576, Time  0.252990
2021-09-22 23:54:20.690478 : Epoch  6, Batch    555, Loss  0.772921, Average Loss  0.772576, Time  0.254183
2021-09-22 23:54:22.581267 : Epoch  6, Batch    556, Loss  0.767175, Average Loss  0.772488, Time  0.254610
2021-09-22 23:54:22.783715 : Epoch  4, Batch     75, Loss  0.870910, Average Loss  0.871635, Time  0.423698
2021-09-22 23:54:23.815381 : CheckPoint: Validation Loss  0.00031241, Best Loss  0.00030606
2021-09-22 23:54:24.478189 : Epoch  6, Batch    557, Loss  0.766099, Average Loss  0.772493, Time  0.251350
2021-09-22 23:54:25.737839 : Epoch  6, Batch    666, Loss  0.765375, Average Loss  0.771041, Time  0.249738
2021-09-22 23:54:26.389135 : Epoch  6, Batch    558, Loss  0.765870, Average Loss  0.772482, Time  0.252362
2021-09-22 23:54:27.738605 : Epoch  6, Batch    667, Loss  0.785972, Average Loss  0.771126, Time  0.250719
2021-09-22 23:54:27.749320 : Epoch  4, Batch     76, Loss  0.872659, Average Loss  0.871642, Time  0.413647
2021-09-22 23:54:28.294978 : Epoch  6, Batch    559, Loss  0.779753, Average Loss  0.772532, Time  0.258490
2021-09-22 23:54:29.654858 : Epoch  6, Batch    668, Loss  0.777921, Average Loss  0.771184, Time  0.261153
2021-09-22 23:54:30.188692 : Epoch  6, Batch    560, Loss  0.763875, Average Loss  0.772521, Time  0.253934
2021-09-22 23:54:31.549037 : Epoch  6, Batch    669, Loss  0.771389, Average Loss  0.771211, Time  0.257066
2021-09-22 23:54:32.108177 : Epoch  6, Batch    561, Loss  0.768569, Average Loss  0.772532, Time  0.253016
2021-09-22 23:54:32.792939 : Epoch  4, Batch     77, Loss  0.867768, Average Loss  0.871697, Time  0.413620
2021-09-22 23:54:33.458451 : Epoch  6, Batch    670, Loss  0.762843, Average Loss  0.771113, Time  0.249041
2021-09-22 23:54:34.022882 : Epoch  6, Batch    562, Loss  0.771098, Average Loss  0.772501, Time  0.252256
2021-09-22 23:54:35.346443 : Epoch  6, Batch    671, Loss  0.782371, Average Loss  0.771151, Time  0.254740
2021-09-22 23:54:35.948275 : Epoch  6, Batch    563, Loss  0.768826, Average Loss  0.772489, Time  0.252107
2021-09-22 23:54:37.228513 : Epoch  6, Batch    672, Loss  0.770959, Average Loss  0.771180, Time  0.248777
2021-09-22 23:54:37.750125 : Epoch  4, Batch     78, Loss  0.885660, Average Loss  0.871786, Time  0.413495
2021-09-22 23:54:37.845394 : Epoch  6, Batch    564, Loss  0.780276, Average Loss  0.772526, Time  0.252831
2021-09-22 23:54:39.112115 : Epoch  6, Batch    673, Loss  0.776556, Average Loss  0.771246, Time  0.251920
2021-09-22 23:54:39.749750 : Epoch  6, Batch    565, Loss  0.765116, Average Loss  0.772536, Time  0.254781
2021-09-22 23:54:41.015333 : Epoch  6, Batch    674, Loss  0.769167, Average Loss  0.771222, Time  0.249938
2021-09-22 23:54:42.704766 : Epoch  4, Batch     79, Loss  0.875952, Average Loss  0.871792, Time  0.413987
2021-09-22 23:54:42.898566 : Epoch  6, Batch    675, Loss  0.766173, Average Loss  0.771219, Time  0.251772
2021-09-22 23:54:44.781848 : Epoch  6, Batch    676, Loss  0.779807, Average Loss  0.771252, Time  0.252637
2021-09-22 23:54:46.668953 : Epoch  6, Batch    677, Loss  0.773771, Average Loss  0.771285, Time  0.251696
2021-09-22 23:54:47.724162 : Epoch  4, Batch     80, Loss  0.856979, Average Loss  0.871679, Time  0.461688
2021-09-22 23:54:48.553978 : Epoch  6, Batch    678, Loss  0.771334, Average Loss  0.771324, Time  0.248174
2021-09-22 23:54:50.535841 : Epoch  6, Batch    679, Loss  0.768389, Average Loss  0.771347, Time  0.327626
2021-09-22 23:54:52.413229 : Epoch  6, Batch    680, Loss  0.773140, Average Loss  0.771374, Time  0.248737
2021-09-22 23:54:52.681723 : Epoch  4, Batch     81, Loss  0.872314, Average Loss  0.871615, Time  0.413917
2021-09-22 23:54:54.300881 : Epoch  6, Batch    681, Loss  0.777506, Average Loss  0.771404, Time  0.254787
2021-09-22 23:54:56.180347 : Epoch  6, Batch    682, Loss  0.764364, Average Loss  0.771358, Time  0.251836
2021-09-22 23:54:57.640021 : Epoch  4, Batch     82, Loss  0.877328, Average Loss  0.871606, Time  0.420671
2021-09-22 23:54:58.059771 : Epoch  6, Batch    683, Loss  0.768673, Average Loss  0.771356, Time  0.250617
2021-09-22 23:54:59.943028 : Epoch  6, Batch    684, Loss  0.772368, Average Loss  0.771373, Time  0.256194
2021-09-22 23:55:01.848833 : Epoch  6, Batch    685, Loss  0.775086, Average Loss  0.771414, Time  0.250384
2021-09-22 23:55:02.599754 : Epoch  4, Batch     83, Loss  0.859561, Average Loss  0.871559, Time  0.413805
2021-09-22 23:55:03.737292 : Epoch  6, Batch    686, Loss  0.770283, Average Loss  0.771384, Time  0.249974
2021-09-22 23:55:05.703852 : Epoch  6, Batch    687, Loss  0.771391, Average Loss  0.771370, Time  0.330122
2021-09-22 23:55:07.573907 : Epoch  4, Batch     84, Loss  0.863580, Average Loss  0.871538, Time  0.416893
2021-09-22 23:55:07.587528 : Epoch  6, Batch    688, Loss  0.768537, Average Loss  0.771347, Time  0.250770
2021-09-22 23:55:09.467931 : Epoch  6, Batch    689, Loss  0.762108, Average Loss  0.771303, Time  0.249060
2021-09-22 23:55:11.373867 : Epoch  6, Batch    690, Loss  0.784349, Average Loss  0.771377, Time  0.251664
2021-09-22 23:55:12.538954 : Epoch  4, Batch     85, Loss  0.871775, Average Loss  0.871511, Time  0.413196
2021-09-22 23:55:13.253210 : Epoch  6, Batch    691, Loss  0.777570, Average Loss  0.771447, Time  0.250062
2021-09-22 23:55:15.123479 : Epoch  6, Batch    692, Loss  0.782438, Average Loss  0.771498, Time  0.253345
2021-09-22 23:55:17.003902 : Epoch  6, Batch    693, Loss  0.765918, Average Loss  0.771520, Time  0.248431
2021-09-22 23:55:17.498989 : Epoch  4, Batch     86, Loss  0.860157, Average Loss  0.871456, Time  0.413083
2021-09-22 23:55:18.967301 : Epoch  6, Batch    694, Loss  0.755375, Average Loss  0.771417, Time  0.326410
2021-09-22 23:55:20.856292 : Epoch  6, Batch    695, Loss  0.768485, Average Loss  0.771348, Time  0.248828
2021-09-22 23:55:22.490960 : Epoch  4, Batch     87, Loss  0.871569, Average Loss  0.871436, Time  0.413452
2021-09-22 23:55:22.766697 : Epoch  6, Batch    696, Loss  0.770313, Average Loss  0.771342, Time  0.250806
2021-09-22 23:55:24.657845 : Epoch  6, Batch    697, Loss  0.770023, Average Loss  0.771325, Time  0.252376
2021-09-22 23:55:26.537784 : Epoch  6, Batch    698, Loss  0.767951, Average Loss  0.771296, Time  0.250507
2021-09-22 23:55:27.455991 : Epoch  4, Batch     88, Loss  0.851485, Average Loss  0.871345, Time  0.414688
2021-09-22 23:55:28.421294 : Epoch  6, Batch    699, Loss  0.776480, Average Loss  0.771286, Time  0.251079
2021-09-22 23:55:30.328824 : Epoch  6, Batch    700, Loss  0.765544, Average Loss  0.771252, Time  0.254339
2021-09-22 23:55:32.204377 : Epoch  6, Batch    701, Loss  0.773574, Average Loss  0.771191, Time  0.250849
2021-09-22 23:55:32.463188 : Epoch  4, Batch     89, Loss  0.871505, Average Loss  0.871298, Time  0.456223
2021-09-22 23:55:34.174322 : Epoch  6, Batch    702, Loss  0.769449, Average Loss  0.771138, Time  0.326686
2021-09-22 23:55:36.063992 : Epoch  6, Batch    703, Loss  0.769363, Average Loss  0.771152, Time  0.252604
2021-09-22 23:55:37.419912 : Epoch  4, Batch     90, Loss  0.860908, Average Loss  0.871213, Time  0.413969
2021-09-22 23:55:37.937666 : Epoch  6, Batch    704, Loss  0.774557, Average Loss  0.771195, Time  0.248448
2021-09-22 23:55:39.816046 : Epoch  6, Batch    705, Loss  0.770883, Average Loss  0.771238, Time  0.252362
2021-09-22 23:55:41.710905 : Epoch  6, Batch    706, Loss  0.768085, Average Loss  0.771267, Time  0.250666
2021-09-22 23:55:42.388091 : Epoch  4, Batch     91, Loss  0.868854, Average Loss  0.871291, Time  0.413296
2021-09-22 23:55:43.604208 : Epoch  6, Batch    707, Loss  0.756783, Average Loss  0.771133, Time  0.250867
2021-09-22 23:55:45.475237 : Epoch  6, Batch    708, Loss  0.759310, Average Loss  0.771088, Time  0.248350
2021-09-22 23:55:47.369178 : Epoch  6, Batch    709, Loss  0.778327, Average Loss  0.771105, Time  0.248814
2021-09-22 23:55:47.419438 : Epoch  4, Batch     92, Loss  0.883123, Average Loss  0.871410, Time  0.413699
2021-09-22 23:55:49.333311 : Epoch  6, Batch    710, Loss  0.766232, Average Loss  0.771092, Time  0.330759
2021-09-22 23:55:51.234961 : Epoch  6, Batch    711, Loss  0.759971, Average Loss  0.771052, Time  0.254700
2021-09-22 23:55:51.424942 : CheckPoint: Validation Loss  0.00032819, Best Loss  0.00030514
2021-09-22 23:55:52.396135 : Epoch  4, Batch     93, Loss  0.869205, Average Loss  0.871386, Time  0.413592
2021-09-22 23:55:53.158033 : Epoch  6, Batch    712, Loss  0.778305, Average Loss  0.771074, Time  0.284854
2021-09-22 23:55:53.352166 : Epoch  6, Batch    566, Loss  0.772772, Average Loss  0.772533, Time  0.277304
2021-09-22 23:55:55.146015 : Epoch  6, Batch    713, Loss  0.776685, Average Loss  0.771156, Time  0.328038
2021-09-22 23:55:55.312795 : Epoch  6, Batch    567, Loss  0.786809, Average Loss  0.772656, Time  0.313386
2021-09-22 23:55:57.156974 : Epoch  6, Batch    714, Loss  0.779361, Average Loss  0.771243, Time  0.362413
2021-09-22 23:55:57.286603 : Epoch  6, Batch    568, Loss  0.767352, Average Loss  0.772609, Time  0.327194
2021-09-22 23:55:57.373779 : Epoch  4, Batch     94, Loss  0.867206, Average Loss  0.871357, Time  0.413497
2021-09-22 23:55:59.158387 : Epoch  6, Batch    715, Loss  0.775506, Average Loss  0.771284, Time  0.376092
2021-09-22 23:55:59.281886 : Epoch  6, Batch    569, Loss  0.790461, Average Loss  0.772695, Time  0.342414
2021-09-22 23:56:01.272872 : Epoch  6, Batch    716, Loss  0.772153, Average Loss  0.771260, Time  0.446810
2021-09-22 23:56:01.339954 : Epoch  6, Batch    570, Loss  0.777638, Average Loss  0.772712, Time  0.416268
2021-09-22 23:56:02.355991 : Epoch  4, Batch     95, Loss  0.861939, Average Loss  0.871307, Time  0.413142
2021-09-22 23:56:03.374160 : Epoch  6, Batch    717, Loss  0.771358, Average Loss  0.771236, Time  0.469596
2021-09-22 23:56:03.425750 : Epoch  6, Batch    571, Loss  0.774308, Average Loss  0.772766, Time  0.437232
2021-09-22 23:56:05.504254 : Epoch  6, Batch    718, Loss  0.772270, Average Loss  0.771259, Time  0.485718
2021-09-22 23:56:05.549904 : Epoch  6, Batch    572, Loss  0.759444, Average Loss  0.772719, Time  0.471756
2021-09-22 23:56:07.324770 : Epoch  4, Batch     96, Loss  0.886047, Average Loss  0.871474, Time  0.413798
2021-09-22 23:56:07.649894 : Epoch  6, Batch    719, Loss  0.771417, Average Loss  0.771274, Time  0.500763
2021-09-22 23:56:07.683129 : Epoch  6, Batch    573, Loss  0.776140, Average Loss  0.772670, Time  0.462967
2021-09-22 23:56:09.793528 : Epoch  6, Batch    720, Loss  0.767772, Average Loss  0.771266, Time  0.503461
2021-09-22 23:56:09.832167 : Epoch  6, Batch    574, Loss  0.779444, Average Loss  0.772700, Time  0.453148
2021-09-22 23:56:11.907260 : Epoch  6, Batch    721, Loss  0.767962, Average Loss  0.771229, Time  0.488928
2021-09-22 23:56:11.938332 : Epoch  6, Batch    575, Loss  0.780165, Average Loss  0.772762, Time  0.452789
2021-09-22 23:56:12.296101 : Epoch  4, Batch     97, Loss  0.870047, Average Loss  0.871497, Time  0.413117
2021-09-22 23:56:14.090268 : Epoch  6, Batch    722, Loss  0.769644, Average Loss  0.771245, Time  0.516516
2021-09-22 23:56:14.119998 : Epoch  6, Batch    576, Loss  0.778960, Average Loss  0.772811, Time  0.511623
2021-09-22 23:56:16.182833 : Epoch  6, Batch    723, Loss  0.781826, Average Loss  0.771270, Time  0.477577
2021-09-22 23:56:16.231465 : Epoch  6, Batch    577, Loss  0.774390, Average Loss  0.772849, Time  0.449430
2021-09-22 23:56:17.299781 : Epoch  4, Batch     98, Loss  0.856562, Average Loss  0.871453, Time  0.460283
2021-09-22 23:56:18.311283 : Epoch  6, Batch    724, Loss  0.780432, Average Loss  0.771314, Time  0.508880
2021-09-22 23:56:18.342624 : Epoch  6, Batch    578, Loss  0.765490, Average Loss  0.772776, Time  0.459013
2021-09-22 23:56:20.425725 : Epoch  6, Batch    725, Loss  0.773395, Average Loss  0.771372, Time  0.478026
2021-09-22 23:56:20.473926 : Epoch  6, Batch    579, Loss  0.756553, Average Loss  0.772678, Time  0.454155
2021-09-22 23:56:22.269976 : Epoch  4, Batch     99, Loss  0.873277, Average Loss  0.871480, Time  0.413021
2021-09-22 23:56:22.535351 : Epoch  6, Batch    726, Loss  0.763799, Average Loss  0.771368, Time  0.483971
2021-09-22 23:56:22.575785 : Epoch  6, Batch    580, Loss  0.771356, Average Loss  0.772680, Time  0.453488
2021-09-22 23:56:24.648795 : Epoch  6, Batch    727, Loss  0.779029, Average Loss  0.771389, Time  0.496628
2021-09-22 23:56:24.681227 : Epoch  6, Batch    581, Loss  0.770230, Average Loss  0.772671, Time  0.467918
2021-09-22 23:56:26.766763 : Epoch  6, Batch    728, Loss  0.774385, Average Loss  0.771419, Time  0.493144
2021-09-22 23:56:26.793183 : Epoch  6, Batch    582, Loss  0.762650, Average Loss  0.772572, Time  0.458388
2021-09-22 23:56:27.226654 : Epoch  4, Batch    100, Loss  0.860010, Average Loss  0.871397, Time  0.413330
2021-09-22 23:56:28.868218 : Epoch  6, Batch    729, Loss  0.769639, Average Loss  0.771389, Time  0.492387
2021-09-22 23:56:28.908348 : Epoch  6, Batch    583, Loss  0.770810, Average Loss  0.772523, Time  0.463009
2021-09-22 23:56:30.990897 : Epoch  6, Batch    730, Loss  0.762264, Average Loss  0.771363, Time  0.491566
2021-09-22 23:56:31.024746 : Epoch  6, Batch    584, Loss  0.777771, Average Loss  0.772578, Time  0.452431
2021-09-22 23:56:32.203737 : Epoch  4, Batch    101, Loss  0.857967, Average Loss  0.871286, Time  0.417272
2021-09-22 23:56:33.156986 : Epoch  6, Batch    731, Loss  0.770469, Average Loss  0.771379, Time  0.509654
2021-09-22 23:56:33.188531 : Epoch  6, Batch    585, Loss  0.775662, Average Loss  0.772581, Time  0.492957
2021-09-22 23:56:35.294604 : Epoch  6, Batch    732, Loss  0.778157, Average Loss  0.771472, Time  0.499652
2021-09-22 23:56:35.328083 : Epoch  6, Batch    586, Loss  0.767265, Average Loss  0.772536, Time  0.471360
2021-09-22 23:56:37.209977 : Epoch  4, Batch    102, Loss  0.878872, Average Loss  0.871288, Time  0.413870
2021-09-22 23:56:37.418528 : Epoch  6, Batch    733, Loss  0.772169, Average Loss  0.771478, Time  0.486590
2021-09-22 23:56:37.458810 : Epoch  6, Batch    587, Loss  0.765054, Average Loss  0.772475, Time  0.453913
2021-09-22 23:56:39.516468 : Epoch  6, Batch    734, Loss  0.772738, Average Loss  0.771520, Time  0.460785
2021-09-22 23:56:39.570845 : Epoch  6, Batch    588, Loss  0.764956, Average Loss  0.772427, Time  0.427320
2021-09-22 23:56:41.634791 : Epoch  6, Batch    735, Loss  0.768642, Average Loss  0.771538, Time  0.483776
2021-09-22 23:56:41.680227 : Epoch  6, Batch    589, Loss  0.753820, Average Loss  0.772338, Time  0.452355
2021-09-22 23:56:42.161686 : Epoch  4, Batch    103, Loss  0.866279, Average Loss  0.871221, Time  0.413739
2021-09-22 23:56:43.592332 : Epoch  6, Batch    590, Loss  0.771845, Average Loss  0.772329, Time  0.253431
2021-09-22 23:56:45.435771 : Epoch  6, Batch    736, Loss  0.778833, Average Loss  0.771562, Time  0.355813
2021-09-22 23:56:45.570961 : Epoch  6, Batch    591, Loss  0.781872, Average Loss  0.772407, Time  0.330261
2021-09-22 23:56:47.111818 : Epoch  4, Batch    104, Loss  0.870622, Average Loss  0.871271, Time  0.413153
2021-09-22 23:56:47.439477 : Epoch  6, Batch    737, Loss  0.766623, Average Loss  0.771501, Time  0.380793
2021-09-22 23:56:47.554856 : Epoch  6, Batch    592, Loss  0.768203, Average Loss  0.772404, Time  0.349756
2021-09-22 23:56:49.488755 : Epoch  6, Batch    738, Loss  0.769786, Average Loss  0.771460, Time  0.415949
2021-09-22 23:56:49.583524 : Epoch  6, Batch    593, Loss  0.777291, Average Loss  0.772490, Time  0.385995
2021-09-22 23:56:51.599997 : Epoch  6, Batch    739, Loss  0.773879, Average Loss  0.771426, Time  0.453862
2021-09-22 23:56:51.657959 : Epoch  6, Batch    594, Loss  0.775777, Average Loss  0.772584, Time  0.420257
2021-09-22 23:56:52.074742 : Epoch  4, Batch    105, Loss  0.873659, Average Loss  0.871278, Time  0.413294
2021-09-22 23:56:53.660924 : Epoch  6, Batch    740, Loss  0.768435, Average Loss  0.771468, Time  0.447960
2021-09-22 23:56:53.734879 : Epoch  6, Batch    595, Loss  0.776312, Average Loss  0.772647, Time  0.419368
2021-09-22 23:56:55.699651 : Epoch  6, Batch    741, Loss  0.777652, Average Loss  0.771522, Time  0.429775
2021-09-22 23:56:55.780001 : Epoch  6, Batch    596, Loss  0.771633, Average Loss  0.772651, Time  0.396931
2021-09-22 23:56:57.034180 : Epoch  4, Batch    106, Loss  0.861107, Average Loss  0.871160, Time  0.413398
2021-09-22 23:56:57.742337 : Epoch  6, Batch    742, Loss  0.778297, Average Loss  0.771567, Time  0.413454
2021-09-22 23:56:57.836845 : Epoch  6, Batch    597, Loss  0.782050, Average Loss  0.772697, Time  0.381847
2021-09-22 23:56:59.800895 : Epoch  6, Batch    743, Loss  0.763860, Average Loss  0.771512, Time  0.428276
2021-09-22 23:56:59.884896 : Epoch  6, Batch    598, Loss  0.757581, Average Loss  0.772551, Time  0.395156
2021-09-22 23:57:01.860307 : Epoch  6, Batch    744, Loss  0.773442, Average Loss  0.771490, Time  0.427972
2021-09-22 23:57:01.944884 : Epoch  6, Batch    599, Loss  0.778524, Average Loss  0.772592, Time  0.395750
2021-09-22 23:57:02.008780 : Epoch  4, Batch    107, Loss  0.874265, Average Loss  0.871158, Time  0.413090
2021-09-22 23:57:03.899516 : Epoch  6, Batch    745, Loss  0.777406, Average Loss  0.771549, Time  0.414983
2021-09-22 23:57:03.992031 : Epoch  6, Batch    600, Loss  0.762711, Average Loss  0.772501, Time  0.386024
2021-09-22 23:57:05.934020 : Epoch  6, Batch    746, Loss  0.770182, Average Loss  0.771572, Time  0.431963
2021-09-22 23:57:06.016257 : Epoch  6, Batch    601, Loss  0.772114, Average Loss  0.772472, Time  0.398658
2021-09-22 23:57:07.015259 : Epoch  4, Batch    108, Loss  0.868647, Average Loss  0.871152, Time  0.454492
2021-09-22 23:57:08.038450 : Epoch  6, Batch    747, Loss  0.761730, Average Loss  0.771549, Time  0.438554
2021-09-22 23:57:08.071870 : Epoch  6, Batch    602, Loss  0.784236, Average Loss  0.772574, Time  0.404196
2021-09-22 23:57:10.141139 : Epoch  6, Batch    748, Loss  0.770127, Average Loss  0.771572, Time  0.487781
2021-09-22 23:57:10.181382 : Epoch  6, Batch    603, Loss  0.766408, Average Loss  0.772635, Time  0.458742
2021-09-22 23:57:11.970772 : Epoch  4, Batch    109, Loss  0.864656, Average Loss  0.871043, Time  0.413104
2021-09-22 23:57:12.249839 : Epoch  6, Batch    749, Loss  0.779914, Average Loss  0.771627, Time  0.489583
2021-09-22 23:57:12.281776 : Epoch  6, Batch    604, Loss  0.769927, Average Loss  0.772679, Time  0.456482
2021-09-22 23:57:14.361948 : Epoch  6, Batch    750, Loss  0.772976, Average Loss  0.771696, Time  0.490376
2021-09-22 23:57:14.398367 : Epoch  6, Batch    605, Loss  0.779843, Average Loss  0.772749, Time  0.464692
2021-09-22 23:57:16.546827 : Epoch  6, Batch    751, Loss  0.773773, Average Loss  0.771773, Time  0.506813
2021-09-22 23:57:16.592810 : Epoch  6, Batch    606, Loss  0.773241, Average Loss  0.772734, Time  0.486928
2021-09-22 23:57:16.924074 : Epoch  4, Batch    110, Loss  0.870599, Average Loss  0.871114, Time  0.413975
2021-09-22 23:57:18.670996 : Epoch  6, Batch    752, Loss  0.769420, Average Loss  0.771759, Time  0.472855
2021-09-22 23:57:18.722816 : Epoch  6, Batch    607, Loss  0.762490, Average Loss  0.772687, Time  0.443482
2021-09-22 23:57:20.755873 : Epoch  6, Batch    753, Loss  0.776391, Average Loss  0.771757, Time  0.463968
2021-09-22 23:57:20.813811 : Epoch  6, Batch    608, Loss  0.762524, Average Loss  0.772606, Time  0.432667
2021-09-22 23:57:21.883131 : Epoch  4, Batch    111, Loss  0.865031, Average Loss  0.871072, Time  0.412983
2021-09-22 23:57:22.897590 : Epoch  6, Batch    754, Loss  0.763376, Average Loss  0.771719, Time  0.501833
2021-09-22 23:57:22.931203 : Epoch  6, Batch    609, Loss  0.767128, Average Loss  0.772487, Time  0.459795
2021-09-22 23:57:25.061335 : Epoch  6, Batch    755, Loss  0.772431, Average Loss  0.771715, Time  0.511598
2021-09-22 23:57:25.094475 : Epoch  6, Batch    610, Loss  0.774069, Average Loss  0.772434, Time  0.495713
2021-09-22 23:57:26.891212 : Epoch  4, Batch    112, Loss  0.867575, Average Loss  0.871121, Time  0.413376
2021-09-22 23:57:27.257611 : Epoch  6, Batch    611, Loss  0.776926, Average Loss  0.772431, Time  0.500751
2021-09-22 23:57:27.274020 : Epoch  6, Batch    756, Loss  0.783324, Average Loss  0.771755, Time  0.520931
2021-09-22 23:57:29.410079 : Epoch  6, Batch    612, Loss  0.768942, Average Loss  0.772427, Time  0.518507
2021-09-22 23:57:29.441324 : Epoch  6, Batch    757, Loss  0.780113, Average Loss  0.771791, Time  0.507770
2021-09-22 23:57:31.560677 : Epoch  6, Batch    613, Loss  0.777781, Average Loss  0.772448, Time  0.517083
2021-09-22 23:57:31.589002 : Epoch  6, Batch    758, Loss  0.760036, Average Loss  0.771706, Time  0.499640
2021-09-22 23:57:31.862990 : Epoch  4, Batch    113, Loss  0.884579, Average Loss  0.871225, Time  0.413190
2021-09-22 23:57:33.723951 : Epoch  6, Batch    759, Loss  0.771120, Average Loss  0.771699, Time  0.508281
2021-09-22 23:57:33.755449 : Epoch  6, Batch    614, Loss  0.765491, Average Loss  0.772371, Time  0.490894
2021-09-22 23:57:35.840443 : Epoch  6, Batch    760, Loss  0.774430, Average Loss  0.771746, Time  0.493459
2021-09-22 23:57:35.880341 : Epoch  6, Batch    615, Loss  0.782906, Average Loss  0.772421, Time  0.453214
2021-09-22 23:57:36.848341 : Epoch  4, Batch    114, Loss  0.863587, Average Loss  0.871228, Time  0.414281
2021-09-22 23:57:37.940284 : Epoch  6, Batch    761, Loss  0.766021, Average Loss  0.771748, Time  0.483283
2021-09-22 23:57:37.982735 : Epoch  6, Batch    616, Loss  0.759625, Average Loss  0.772325, Time  0.451003
2021-09-22 23:57:40.079125 : Epoch  6, Batch    762, Loss  0.760377, Average Loss  0.771756, Time  0.496661
2021-09-22 23:57:40.116244 : Epoch  6, Batch    617, Loss  0.770286, Average Loss  0.772370, Time  0.470335
2021-09-22 23:57:41.817826 : Epoch  4, Batch    115, Loss  0.866177, Average Loss  0.871175, Time  0.415425
2021-09-22 23:57:42.145382 : Epoch  6, Batch    763, Loss  0.771928, Average Loss  0.771763, Time  0.453698
2021-09-22 23:57:42.219129 : Epoch  6, Batch    618, Loss  0.775111, Average Loss  0.772431, Time  0.429052
2021-09-22 23:57:44.220295 : Epoch  6, Batch    764, Loss  0.771960, Average Loss  0.771758, Time  0.436446
2021-09-22 23:57:44.292114 : Epoch  6, Batch    619, Loss  0.767609, Average Loss  0.772403, Time  0.405073
2021-09-22 23:57:46.343259 : Epoch  6, Batch    765, Loss  0.767283, Average Loss  0.771738, Time  0.470899
2021-09-22 23:57:46.391514 : Epoch  6, Batch    620, Loss  0.757908, Average Loss  0.772268, Time  0.441370
2021-09-22 23:57:46.774307 : Epoch  4, Batch    116, Loss  0.871663, Average Loss  0.871196, Time  0.413311
2021-09-22 23:57:48.312021 : Epoch  6, Batch    621, Loss  0.769382, Average Loss  0.772211, Time  0.261205
2021-09-22 23:57:50.221595 : Epoch  6, Batch    622, Loss  0.773421, Average Loss  0.772213, Time  0.253955
2021-09-22 23:57:52.108294 : Epoch  6, Batch    623, Loss  0.773693, Average Loss  0.772264, Time  0.251992
2021-09-22 23:57:54.000778 : Epoch  6, Batch    624, Loss  0.766236, Average Loss  0.772226, Time  0.251838
2021-09-22 23:57:55.912807 : Epoch  6, Batch    625, Loss  0.771122, Average Loss  0.772256, Time  0.256196
2021-09-22 23:57:57.824381 : Epoch  6, Batch    626, Loss  0.765254, Average Loss  0.771667, Time  0.261212
2021-09-22 23:57:59.745326 : Epoch  6, Batch    627, Loss  0.774754, Average Loss  0.771694, Time  0.269650
2021-09-22 23:58:01.721793 : Epoch  6, Batch    628, Loss  0.784699, Average Loss  0.771729, Time  0.324952
2021-09-22 23:58:03.616479 : Epoch  6, Batch    629, Loss  0.780690, Average Loss  0.771713, Time  0.251281
2021-09-22 23:58:05.519594 : Epoch  6, Batch    630, Loss  0.781333, Average Loss  0.771764, Time  0.260022
2021-09-22 23:58:07.420366 : Epoch  6, Batch    631, Loss  0.787616, Average Loss  0.771894, Time  0.251948
2021-09-22 23:58:09.309830 : Epoch  6, Batch    632, Loss  0.774456, Average Loss  0.771914, Time  0.252118
2021-09-22 23:58:11.215795 : Epoch  6, Batch    633, Loss  0.769985, Average Loss  0.771918, Time  0.255007
2021-09-22 23:58:13.117612 : Epoch  6, Batch    634, Loss  0.771207, Average Loss  0.771884, Time  0.256987
2021-09-22 23:58:15.073998 : Epoch  6, Batch    635, Loss  0.772073, Average Loss  0.771867, Time  0.329195
2021-09-22 23:58:18.889822 : Epoch  6, Batch    636, Loss  0.768314, Average Loss  0.771825, Time  0.253612
2021-09-22 23:58:20.792274 : Epoch  6, Batch    637, Loss  0.770127, Average Loss  0.771790, Time  0.257223
2021-09-22 23:58:22.701262 : Epoch  6, Batch    638, Loss  0.768027, Average Loss  0.771759, Time  0.251530
2021-09-22 23:58:24.609772 : Epoch  6, Batch    639, Loss  0.772025, Average Loss  0.771766, Time  0.260798
2021-09-22 23:58:26.566991 : Epoch  6, Batch    640, Loss  0.756279, Average Loss  0.771659, Time  0.325559
2021-09-22 23:58:28.494970 : Epoch  6, Batch    641, Loss  0.767764, Average Loss  0.771637, Time  0.260619
2021-09-22 23:58:30.421212 : Epoch  6, Batch    642, Loss  0.771356, Average Loss  0.771585, Time  0.261799
2021-09-22 23:58:32.326615 : Epoch  6, Batch    643, Loss  0.772907, Average Loss  0.771545, Time  0.253635
2021-09-22 23:58:34.229971 : Epoch  6, Batch    644, Loss  0.777875, Average Loss  0.771605, Time  0.254860
2021-09-22 23:58:36.140542 : Epoch  6, Batch    645, Loss  0.771398, Average Loss  0.771573, Time  0.254363
2021-09-22 23:58:38.050726 : Epoch  6, Batch    646, Loss  0.774490, Average Loss  0.771600, Time  0.252115
2021-09-22 23:58:40.036916 : Epoch  6, Batch    647, Loss  0.769591, Average Loss  0.771501, Time  0.332741
2021-09-22 23:58:41.950896 : Epoch  6, Batch    648, Loss  0.773108, Average Loss  0.771473, Time  0.252483
2021-09-22 23:58:43.868656 : Epoch  6, Batch    649, Loss  0.770525, Average Loss  0.771453, Time  0.254729
2021-09-22 23:58:45.795105 : Epoch  6, Batch    650, Loss  0.770645, Average Loss  0.771438, Time  0.262422
2021-09-22 23:58:47.719486 : Epoch  6, Batch    651, Loss  0.769240, Average Loss  0.771432, Time  0.254713
2021-09-22 23:58:49.618632 : Epoch  6, Batch    652, Loss  0.769901, Average Loss  0.771416, Time  0.252159
2021-09-22 23:58:51.598030 : Epoch  6, Batch    653, Loss  0.765044, Average Loss  0.771388, Time  0.325652
2021-09-22 23:58:53.502792 : Epoch  6, Batch    654, Loss  0.766135, Average Loss  0.771368, Time  0.251327
2021-09-22 23:58:55.396655 : Epoch  6, Batch    655, Loss  0.771590, Average Loss  0.771375, Time  0.253470
2021-09-22 23:58:57.059713 : CheckPoint: Validation Loss  0.00032092, Best Loss  0.00030606
2021-09-22 23:58:57.310089 : Epoch  6, Batch    656, Loss  0.773813, Average Loss  0.771372, Time  0.262206
2021-09-22 23:58:58.954205 : Epoch  6, Batch    766, Loss  0.773907, Average Loss  0.771748, Time  0.253628
2021-09-22 23:58:59.202613 : Epoch  6, Batch    657, Loss  0.760455, Average Loss  0.771313, Time  0.253229
2021-09-22 23:59:00.813835 : Epoch  6, Batch    767, Loss  0.767839, Average Loss  0.771750, Time  0.251107
2021-09-22 23:59:01.112665 : Epoch  6, Batch    658, Loss  0.777124, Average Loss  0.771332, Time  0.255178
2021-09-22 23:59:02.715666 : Epoch  6, Batch    768, Loss  0.780414, Average Loss  0.771787, Time  0.259572
2021-09-22 23:59:03.030123 : Epoch  6, Batch    659, Loss  0.784644, Average Loss  0.771385, Time  0.253725
2021-09-22 23:59:04.589654 : Epoch  6, Batch    769, Loss  0.773579, Average Loss  0.771756, Time  0.250754
2021-09-22 23:59:04.926894 : Epoch  6, Batch    660, Loss  0.769921, Average Loss  0.771374, Time  0.255016
2021-09-22 23:59:06.463551 : Epoch  6, Batch    770, Loss  0.775314, Average Loss  0.771787, Time  0.250329
2021-09-22 23:59:06.860343 : Epoch  6, Batch    661, Loss  0.771922, Average Loss  0.771375, Time  0.263471
2021-09-22 23:59:08.354800 : Epoch  6, Batch    771, Loss  0.766421, Average Loss  0.771757, Time  0.251156
2021-09-22 23:59:08.770014 : Epoch  6, Batch    662, Loss  0.774335, Average Loss  0.771331, Time  0.253849
2021-09-22 23:59:10.249126 : Epoch  6, Batch    772, Loss  0.773613, Average Loss  0.771718, Time  0.254301
2021-09-22 23:59:10.677150 : Epoch  6, Batch    663, Loss  0.763889, Average Loss  0.771265, Time  0.259476
2021-09-22 23:59:12.123852 : Epoch  6, Batch    773, Loss  0.770983, Average Loss  0.771708, Time  0.249351
2021-09-22 23:59:12.599558 : Epoch  6, Batch    664, Loss  0.771328, Average Loss  0.771254, Time  0.255214
2021-09-22 23:59:13.989974 : Epoch  6, Batch    774, Loss  0.774225, Average Loss  0.771706, Time  0.248924
2021-09-22 23:59:14.488830 : Epoch  6, Batch    665, Loss  0.780716, Average Loss  0.771333, Time  0.252079
2021-09-22 23:59:15.869438 : Epoch  6, Batch    775, Loss  0.765010, Average Loss  0.771669, Time  0.253888
2021-09-22 23:59:17.767131 : Epoch  6, Batch    776, Loss  0.767173, Average Loss  0.771641, Time  0.271088
2021-09-22 23:59:19.749873 : Epoch  6, Batch    777, Loss  0.747462, Average Loss  0.771560, Time  0.324449
2021-09-22 23:59:21.652349 : Epoch  6, Batch    778, Loss  0.778406, Average Loss  0.771629, Time  0.252161
2021-09-22 23:59:23.541033 : Epoch  6, Batch    779, Loss  0.776796, Average Loss  0.771634, Time  0.254101
2021-09-22 23:59:25.424915 : Epoch  6, Batch    780, Loss  0.759359, Average Loss  0.771600, Time  0.254756
2021-09-22 23:59:27.294689 : Epoch  6, Batch    781, Loss  0.773594, Average Loss  0.771571, Time  0.251150
2021-09-22 23:59:29.176705 : Epoch  6, Batch    782, Loss  0.774571, Average Loss  0.771584, Time  0.252207
2021-09-22 23:59:31.077126 : Epoch  6, Batch    783, Loss  0.775880, Average Loss  0.771593, Time  0.283413
2021-09-22 23:59:32.957028 : Epoch  6, Batch    784, Loss  0.762645, Average Loss  0.771561, Time  0.256259
2021-09-22 23:59:34.910625 : Epoch  6, Batch    785, Loss  0.764916, Average Loss  0.771500, Time  0.327768
2021-09-22 23:59:36.806091 : Epoch  6, Batch    786, Loss  0.771052, Average Loss  0.771491, Time  0.250950
2021-09-22 23:59:38.679813 : Epoch  6, Batch    787, Loss  0.765840, Average Loss  0.771460, Time  0.251140
2021-09-22 23:59:38.730639 : Saving Model after 6-th Epoch.
2021-09-22 23:59:39.544893 : Epoch Finished.
2021-09-22 23:59:41.379471 : Batch Shuffled
2021-09-22 23:59:43.354996 : Epoch  7, Batch      1, Loss  0.759055, Average Loss  0.771412, Time  0.336417
2021-09-22 23:59:45.238903 : Epoch  7, Batch      2, Loss  0.768792, Average Loss  0.771391, Time  0.249152
2021-09-22 23:59:47.106696 : Epoch  7, Batch      3, Loss  0.766963, Average Loss  0.771371, Time  0.248100
2021-09-22 23:59:48.996904 : Epoch  7, Batch      4, Loss  0.763539, Average Loss  0.771320, Time  0.248323
2021-09-22 23:59:50.901264 : Epoch  7, Batch      5, Loss  0.771877, Average Loss  0.771353, Time  0.256525
2021-09-22 23:59:52.796574 : Epoch  7, Batch      6, Loss  0.759512, Average Loss  0.771279, Time  0.250360
2021-09-22 23:59:54.680086 : Epoch  7, Batch      7, Loss  0.780878, Average Loss  0.771261, Time  0.250621
2021-09-22 23:59:56.648148 : Epoch  7, Batch      8, Loss  0.780627, Average Loss  0.771317, Time  0.325838
2021-09-22 23:59:58.556068 : Epoch  7, Batch      9, Loss  0.771685, Average Loss  0.771311, Time  0.252692
2021-09-23 00:00:00.460919 : Epoch  7, Batch     10, Loss  0.784945, Average Loss  0.771318, Time  0.255703
2021-09-23 00:00:02.373595 : Epoch  7, Batch     11, Loss  0.755438, Average Loss  0.771238, Time  0.253268
2021-09-23 00:00:04.277925 : Epoch  7, Batch     12, Loss  0.767532, Average Loss  0.771288, Time  0.248288
2021-09-23 00:00:06.149841 : Epoch  7, Batch     13, Loss  0.772871, Average Loss  0.771336, Time  0.249532
2021-09-23 00:00:08.052312 : Epoch  7, Batch     14, Loss  0.774843, Average Loss  0.771348, Time  0.249055
2021-09-23 00:00:10.027709 : Epoch  7, Batch     15, Loss  0.765575, Average Loss  0.771326, Time  0.329095
2021-09-23 00:00:11.932817 : Epoch  7, Batch     16, Loss  0.758199, Average Loss  0.771263, Time  0.250463
2021-09-23 00:00:13.835323 : Epoch  7, Batch     17, Loss  0.782591, Average Loss  0.771382, Time  0.259198
2021-09-23 00:00:15.751914 : Epoch  7, Batch     18, Loss  0.773618, Average Loss  0.771311, Time  0.251535
2021-09-23 00:00:17.642271 : Epoch  7, Batch     19, Loss  0.779103, Average Loss  0.771360, Time  0.250339
2021-09-23 00:00:19.569946 : Epoch  7, Batch     20, Loss  0.781992, Average Loss  0.771355, Time  0.260734
2021-09-23 00:00:21.453119 : Epoch  7, Batch     21, Loss  0.773220, Average Loss  0.771388, Time  0.248984
2021-09-23 00:00:23.441175 : Epoch  7, Batch     22, Loss  0.773173, Average Loss  0.771370, Time  0.341033
2021-09-23 00:00:25.354950 : Epoch  7, Batch     23, Loss  0.776634, Average Loss  0.771415, Time  0.250908
2021-09-23 00:00:25.594780 : CheckPoint: Validation Loss  0.00031288, Best Loss  0.00030514
2021-09-23 00:00:27.226660 : Epoch  7, Batch     24, Loss  0.770627, Average Loss  0.771465, Time  0.250443
2021-09-23 00:00:27.486048 : Epoch  6, Batch    666, Loss  0.775019, Average Loss  0.771408, Time  0.253271
2021-09-23 00:00:29.111568 : Epoch  7, Batch     25, Loss  0.765886, Average Loss  0.771434, Time  0.250418
2021-09-23 00:00:29.370079 : Epoch  6, Batch    667, Loss  0.778424, Average Loss  0.771407, Time  0.260591
2021-09-23 00:00:31.036160 : Epoch  7, Batch     26, Loss  0.759836, Average Loss  0.771310, Time  0.250363
2021-09-23 00:00:31.293985 : Epoch  6, Batch    668, Loss  0.775137, Average Loss  0.771396, Time  0.256932
2021-09-23 00:00:32.942062 : Epoch  7, Batch     27, Loss  0.772401, Average Loss  0.771327, Time  0.249847
2021-09-23 00:00:33.187987 : Epoch  6, Batch    669, Loss  0.776949, Average Loss  0.771417, Time  0.257534
2021-09-23 00:00:34.832277 : Epoch  7, Batch     28, Loss  0.771160, Average Loss  0.771335, Time  0.255152
2021-09-23 00:00:35.115399 : Epoch  6, Batch    670, Loss  0.763737, Average Loss  0.771349, Time  0.257028
2021-09-23 00:00:36.748701 : Epoch  7, Batch     29, Loss  0.768484, Average Loss  0.771361, Time  0.248501
2021-09-23 00:00:37.013807 : Epoch  6, Batch    671, Loss  0.765558, Average Loss  0.771285, Time  0.260159
2021-09-23 00:00:38.638876 : Epoch  7, Batch     30, Loss  0.768321, Average Loss  0.771391, Time  0.257861
2021-09-23 00:00:38.925254 : Epoch  6, Batch    672, Loss  0.783951, Average Loss  0.771339, Time  0.254432
2021-09-23 00:00:40.560501 : Epoch  7, Batch     31, Loss  0.754720, Average Loss  0.771230, Time  0.251502
2021-09-23 00:00:40.821901 : Epoch  6, Batch    673, Loss  0.774333, Average Loss  0.771403, Time  0.253181
2021-09-23 00:00:42.463997 : Epoch  7, Batch     32, Loss  0.772172, Average Loss  0.771262, Time  0.248646
2021-09-23 00:00:42.736010 : Epoch  6, Batch    674, Loss  0.773950, Average Loss  0.771405, Time  0.255941
2021-09-23 00:00:44.371404 : Epoch  7, Batch     33, Loss  0.776528, Average Loss  0.771285, Time  0.249470
2021-09-23 00:00:44.622462 : Epoch  6, Batch    675, Loss  0.763621, Average Loss  0.771383, Time  0.253839
2021-09-23 00:00:46.251991 : Epoch  7, Batch     34, Loss  0.776238, Average Loss  0.771331, Time  0.252198
2021-09-23 00:00:46.535260 : Epoch  6, Batch    676, Loss  0.766366, Average Loss  0.771285, Time  0.252101
2021-09-23 00:00:48.139094 : Epoch  7, Batch     35, Loss  0.771302, Average Loss  0.771337, Time  0.248597
2021-09-23 00:00:48.428011 : Epoch  6, Batch    677, Loss  0.777277, Average Loss  0.771321, Time  0.251656
2021-09-23 00:00:50.039781 : Epoch  7, Batch     36, Loss  0.772505, Average Loss  0.771374, Time  0.253029
2021-09-23 00:00:50.340919 : Epoch  6, Batch    678, Loss  0.763247, Average Loss  0.771294, Time  0.253578
2021-09-23 00:00:51.926737 : Epoch  7, Batch     37, Loss  0.766788, Average Loss  0.771311, Time  0.252127
2021-09-23 00:00:52.273303 : Epoch  6, Batch    679, Loss  0.766886, Average Loss  0.771210, Time  0.254468
2021-09-23 00:00:53.826480 : Epoch  7, Batch     38, Loss  0.781788, Average Loss  0.771391, Time  0.255710
2021-09-23 00:00:54.184306 : Epoch  6, Batch    680, Loss  0.768964, Average Loss  0.771220, Time  0.252282
2021-09-23 00:00:55.719168 : Epoch  7, Batch     39, Loss  0.780658, Average Loss  0.771444, Time  0.248657
2021-09-23 00:00:56.120233 : Epoch  6, Batch    681, Loss  0.765356, Average Loss  0.771152, Time  0.254061
2021-09-23 00:00:57.594670 : Epoch  7, Batch     40, Loss  0.772929, Average Loss  0.771502, Time  0.250520
2021-09-23 00:00:58.012037 : Epoch  6, Batch    682, Loss  0.771747, Average Loss  0.771143, Time  0.262927
2021-09-23 00:00:59.488816 : Epoch  7, Batch     41, Loss  0.774975, Average Loss  0.771487, Time  0.248492
2021-09-23 00:00:59.948357 : Epoch  6, Batch    683, Loss  0.757936, Average Loss  0.771105, Time  0.251704
2021-09-23 00:01:01.366751 : Epoch  7, Batch     42, Loss  0.775622, Average Loss  0.771489, Time  0.250249
2021-09-23 00:01:01.854869 : Epoch  6, Batch    684, Loss  0.774103, Average Loss  0.771150, Time  0.251252
2021-09-23 00:01:03.261682 : Epoch  7, Batch     43, Loss  0.770496, Average Loss  0.771506, Time  0.250455
2021-09-23 00:01:03.741099 : Epoch  6, Batch    685, Loss  0.773691, Average Loss  0.771131, Time  0.251035
2021-09-23 00:01:05.152130 : Epoch  7, Batch     44, Loss  0.770650, Average Loss  0.771557, Time  0.254282
2021-09-23 00:01:05.667022 : Epoch  6, Batch    686, Loss  0.775796, Average Loss  0.771192, Time  0.252155
2021-09-23 00:01:07.046009 : Epoch  7, Batch     45, Loss  0.768988, Average Loss  0.771539, Time  0.251204
2021-09-23 00:01:07.564253 : Epoch  6, Batch    687, Loss  0.766525, Average Loss  0.771155, Time  0.253273
2021-09-23 00:01:08.985232 : Epoch  7, Batch     46, Loss  0.766081, Average Loss  0.771508, Time  0.250166
2021-09-23 00:01:09.481707 : Epoch  6, Batch    688, Loss  0.764896, Average Loss  0.771147, Time  0.251148
2021-09-23 00:01:10.889746 : Epoch  7, Batch     47, Loss  0.774920, Average Loss  0.771561, Time  0.250995
2021-09-23 00:01:11.404135 : Epoch  6, Batch    689, Loss  0.774043, Average Loss  0.771140, Time  0.251387
2021-09-23 00:01:12.787314 : Epoch  7, Batch     48, Loss  0.771542, Average Loss  0.771589, Time  0.248874
2021-09-23 00:01:13.335261 : Epoch  6, Batch    690, Loss  0.771853, Average Loss  0.771192, Time  0.261964
2021-09-23 00:01:14.697861 : Epoch  7, Batch     49, Loss  0.760679, Average Loss  0.771472, Time  0.248586
2021-09-23 00:01:15.240717 : Epoch  6, Batch    691, Loss  0.766317, Average Loss  0.771154, Time  0.259431
2021-09-23 00:01:16.601416 : Epoch  7, Batch     50, Loss  0.780107, Average Loss  0.771507, Time  0.248533
2021-09-23 00:01:17.162472 : Epoch  6, Batch    692, Loss  0.759654, Average Loss  0.771117, Time  0.256294
2021-09-23 00:01:18.504480 : Epoch  7, Batch     51, Loss  0.785040, Average Loss  0.771592, Time  0.250595
2021-09-23 00:01:19.083037 : Epoch  6, Batch    693, Loss  0.769813, Average Loss  0.771074, Time  0.251145
2021-09-23 00:01:20.394949 : Epoch  7, Batch     52, Loss  0.778988, Average Loss  0.771672, Time  0.249878
2021-09-23 00:01:20.998850 : Epoch  6, Batch    694, Loss  0.772338, Average Loss  0.771065, Time  0.252227
2021-09-23 00:01:22.317556 : Epoch  7, Batch     53, Loss  0.766951, Average Loss  0.771671, Time  0.250510
2021-09-23 00:01:22.894944 : Epoch  6, Batch    695, Loss  0.777418, Average Loss  0.771137, Time  0.251784
2021-09-23 00:01:24.217273 : Epoch  7, Batch     54, Loss  0.763971, Average Loss  0.771596, Time  0.265032
2021-09-23 00:01:24.808549 : Epoch  6, Batch    696, Loss  0.768495, Average Loss  0.771115, Time  0.254626
2021-09-23 00:01:26.117486 : Epoch  7, Batch     55, Loss  0.779370, Average Loss  0.771636, Time  0.255870
2021-09-23 00:01:26.271527 : Epoch  7, Batch     56, Loss  0.828918, Average Loss  0.771870, Time  0.114324
2021-09-23 00:01:26.713641 : Epoch  6, Batch    697, Loss  0.775063, Average Loss  0.771138, Time  0.253915
2021-09-23 00:01:28.161478 : Epoch  7, Batch     57, Loss  0.761791, Average Loss  0.771800, Time  0.251556
2021-09-23 00:01:28.617995 : Epoch  6, Batch    698, Loss  0.775176, Average Loss  0.771118, Time  0.252283
2021-09-23 00:01:30.054299 : Epoch  7, Batch     58, Loss  0.773818, Average Loss  0.771774, Time  0.252010
2021-09-23 00:01:30.520505 : Epoch  6, Batch    699, Loss  0.772520, Average Loss  0.771091, Time  0.251112
2021-09-23 00:01:31.946957 : Epoch  7, Batch     59, Loss  0.777438, Average Loss  0.771828, Time  0.248169
2021-09-23 00:01:32.421563 : Epoch  6, Batch    700, Loss  0.771540, Average Loss  0.771075, Time  0.255884
2021-09-23 00:01:33.818643 : Epoch  7, Batch     60, Loss  0.772682, Average Loss  0.771797, Time  0.249995
2021-09-23 00:01:34.317875 : Epoch  6, Batch    701, Loss  0.772301, Average Loss  0.771096, Time  0.258355
2021-09-23 00:01:35.715276 : Epoch  7, Batch     61, Loss  0.769825, Average Loss  0.771785, Time  0.252797
2021-09-23 00:01:36.218866 : Epoch  6, Batch    702, Loss  0.786768, Average Loss  0.771188, Time  0.253242
2021-09-23 00:01:37.597335 : Epoch  7, Batch     62, Loss  0.787679, Average Loss  0.771876, Time  0.255033
2021-09-23 00:01:38.140720 : Epoch  6, Batch    703, Loss  0.771200, Average Loss  0.771146, Time  0.253336
2021-09-23 00:01:39.488271 : Epoch  7, Batch     63, Loss  0.775087, Average Loss  0.771865, Time  0.250231
2021-09-23 00:01:40.051799 : Epoch  6, Batch    704, Loss  0.774349, Average Loss  0.771136, Time  0.252439
2021-09-23 00:01:41.378875 : Epoch  7, Batch     64, Loss  0.774751, Average Loss  0.771821, Time  0.252531
2021-09-23 00:01:41.993976 : Epoch  6, Batch    705, Loss  0.772607, Average Loss  0.771124, Time  0.257792
2021-09-23 00:01:43.245968 : Epoch  7, Batch     65, Loss  0.771154, Average Loss  0.771784, Time  0.250392
2021-09-23 00:01:43.744737 : CheckPoint: Validation Loss  0.00015209, Best Loss  0.00014923
2021-09-23 00:01:43.916681 : Epoch  6, Batch    706, Loss  0.767345, Average Loss  0.771055, Time  0.270558
2021-09-23 00:01:45.143920 : Epoch  7, Batch     66, Loss  0.776097, Average Loss  0.771804, Time  0.249105
2021-09-23 00:01:45.841284 : Epoch  6, Batch    707, Loss  0.774374, Average Loss  0.771092, Time  0.253271
2021-09-23 00:01:47.032979 : Epoch  7, Batch     67, Loss  0.772751, Average Loss  0.771875, Time  0.250489
2021-09-23 00:01:47.759623 : Epoch  6, Batch    708, Loss  0.758333, Average Loss  0.771065, Time  0.252345
2021-09-23 00:01:48.710848 : Epoch  4, Batch    117, Loss  0.870585, Average Loss  0.871214, Time  0.429788
2021-09-23 00:01:48.939154 : Epoch  7, Batch     68, Loss  0.766655, Average Loss  0.771865, Time  0.255291
2021-09-23 00:01:49.681358 : Epoch  6, Batch    709, Loss  0.778229, Average Loss  0.771149, Time  0.253823
2021-09-23 00:01:50.802892 : Epoch  7, Batch     69, Loss  0.778459, Average Loss  0.771808, Time  0.252922
2021-09-23 00:01:51.591219 : Epoch  6, Batch    710, Loss  0.768205, Average Loss  0.771075, Time  0.255236
2021-09-23 00:01:52.691036 : Epoch  7, Batch     70, Loss  0.769165, Average Loss  0.771785, Time  0.248311
2021-09-23 00:01:53.485820 : Epoch  6, Batch    711, Loss  0.766034, Average Loss  0.771048, Time  0.251375
2021-09-23 00:01:53.683745 : Epoch  4, Batch    118, Loss  0.864435, Average Loss  0.871217, Time  0.413422
2021-09-23 00:01:54.612172 : Epoch  7, Batch     71, Loss  0.779593, Average Loss  0.771824, Time  0.249273
2021-09-23 00:01:55.379847 : Epoch  6, Batch    712, Loss  0.770622, Average Loss  0.771029, Time  0.251417
2021-09-23 00:01:56.510132 : Epoch  7, Batch     72, Loss  0.774608, Average Loss  0.771865, Time  0.260718
2021-09-23 00:01:57.299862 : Epoch  6, Batch    713, Loss  0.766099, Average Loss  0.770970, Time  0.252594
2021-09-23 00:01:58.393943 : Epoch  7, Batch     73, Loss  0.768471, Average Loss  0.771887, Time  0.255842
2021-09-23 00:01:58.664769 : Epoch  4, Batch    119, Loss  0.861635, Average Loss  0.871082, Time  0.413364
2021-09-23 00:01:59.215686 : Epoch  6, Batch    714, Loss  0.777828, Average Loss  0.771077, Time  0.251618
2021-09-23 00:02:00.272300 : Epoch  7, Batch     74, Loss  0.782391, Average Loss  0.771931, Time  0.253398
2021-09-23 00:02:01.140777 : Epoch  6, Batch    715, Loss  0.773514, Average Loss  0.771084, Time  0.254368
2021-09-23 00:02:02.157356 : Epoch  7, Batch     75, Loss  0.779954, Average Loss  0.771946, Time  0.248510
2021-09-23 00:02:03.040062 : Epoch  6, Batch    716, Loss  0.771167, Average Loss  0.771118, Time  0.251709
2021-09-23 00:02:03.645873 : Epoch  4, Batch    120, Loss  0.867010, Average Loss  0.871072, Time  0.413334
2021-09-23 00:02:04.051225 : Epoch  7, Batch     76, Loss  0.787512, Average Loss  0.772026, Time  0.250633
2021-09-23 00:02:04.945096 : Epoch  6, Batch    717, Loss  0.758047, Average Loss  0.771063, Time  0.252898
2021-09-23 00:02:05.960141 : Epoch  7, Batch     77, Loss  0.757581, Average Loss  0.771883, Time  0.249814
2021-09-23 00:02:06.884976 : Epoch  6, Batch    718, Loss  0.769142, Average Loss  0.771067, Time  0.262508
2021-09-23 00:02:07.847934 : Epoch  7, Batch     78, Loss  0.761346, Average Loss  0.771855, Time  0.248559
2021-09-23 00:02:08.614602 : Epoch  4, Batch    121, Loss  0.878255, Average Loss  0.871093, Time  0.413308
2021-09-23 00:02:08.812068 : Epoch  6, Batch    719, Loss  0.778195, Average Loss  0.771062, Time  0.253768
2021-09-23 00:02:10.732163 : Epoch  6, Batch    720, Loss  0.764430, Average Loss  0.771112, Time  0.255726
2021-09-23 00:02:12.650919 : Epoch  6, Batch    721, Loss  0.766265, Average Loss  0.771119, Time  0.254271
2021-09-23 00:02:13.591978 : Epoch  4, Batch    122, Loss  0.865231, Average Loss  0.871080, Time  0.413170
2021-09-23 00:02:14.587892 : Epoch  6, Batch    722, Loss  0.779470, Average Loss  0.771180, Time  0.255754
2021-09-23 00:02:16.517136 : Epoch  6, Batch    723, Loss  0.768394, Average Loss  0.771126, Time  0.272880
2021-09-23 00:02:18.431271 : Epoch  6, Batch    724, Loss  0.771821, Average Loss  0.771085, Time  0.252413
2021-09-23 00:02:18.589747 : Epoch  4, Batch    123, Loss  0.860626, Average Loss  0.871002, Time  0.413453
2021-09-23 00:02:20.377708 : Epoch  6, Batch    725, Loss  0.770990, Average Loss  0.771137, Time  0.253949
2021-09-23 00:02:22.276715 : Epoch  6, Batch    726, Loss  0.777129, Average Loss  0.771173, Time  0.253901
2021-09-23 00:02:23.583815 : Epoch  4, Batch    124, Loss  0.872768, Average Loss  0.871018, Time  0.413292
2021-09-23 00:02:24.185084 : Epoch  6, Batch    727, Loss  0.760168, Average Loss  0.771158, Time  0.252403
2021-09-23 00:02:26.093492 : Epoch  6, Batch    728, Loss  0.767886, Average Loss  0.771164, Time  0.253185
2021-09-23 00:02:28.081324 : Epoch  6, Batch    729, Loss  0.774084, Average Loss  0.771244, Time  0.327642
2021-09-23 00:02:28.570777 : Epoch  4, Batch    125, Loss  0.880142, Average Loss  0.871080, Time  0.414330
2021-09-23 00:02:29.994833 : Epoch  6, Batch    730, Loss  0.765202, Average Loss  0.771144, Time  0.252143
2021-09-23 00:02:31.887667 : Epoch  6, Batch    731, Loss  0.776794, Average Loss  0.771155, Time  0.251404
2021-09-23 00:02:33.587847 : Epoch  4, Batch    126, Loss  0.860620, Average Loss  0.871052, Time  0.453774
2021-09-23 00:02:33.795896 : Epoch  6, Batch    732, Loss  0.768873, Average Loss  0.771140, Time  0.252494
2021-09-23 00:02:35.712204 : Epoch  6, Batch    733, Loss  0.768707, Average Loss  0.771172, Time  0.252320
2021-09-23 00:02:37.637416 : Epoch  6, Batch    734, Loss  0.777181, Average Loss  0.771165, Time  0.252158
2021-09-23 00:02:38.555791 : Epoch  4, Batch    127, Loss  0.883516, Average Loss  0.871070, Time  0.414762
2021-09-23 00:02:39.632291 : Epoch  6, Batch    735, Loss  0.774430, Average Loss  0.771190, Time  0.326205
2021-09-23 00:02:43.332701 : Epoch  6, Batch    736, Loss  0.772978, Average Loss  0.771221, Time  0.267978
2021-09-23 00:02:43.531199 : Epoch  4, Batch    128, Loss  0.876471, Average Loss  0.871145, Time  0.413856
2021-09-23 00:02:45.252337 : Epoch  6, Batch    737, Loss  0.771775, Average Loss  0.771278, Time  0.252553
2021-09-23 00:02:47.145822 : Epoch  6, Batch    738, Loss  0.780358, Average Loss  0.771303, Time  0.251432
2021-09-23 00:02:48.519761 : Epoch  4, Batch    129, Loss  0.870939, Average Loss  0.871173, Time  0.413306
2021-09-23 00:02:49.057795 : Epoch  6, Batch    739, Loss  0.776702, Average Loss  0.771310, Time  0.252224
2021-09-23 00:02:50.975329 : Epoch  6, Batch    740, Loss  0.768004, Average Loss  0.771291, Time  0.254160
2021-09-23 00:02:52.969329 : Epoch  6, Batch    741, Loss  0.761208, Average Loss  0.771213, Time  0.336947
2021-09-23 00:02:53.507777 : Epoch  4, Batch    130, Loss  0.875140, Average Loss  0.871141, Time  0.413366
2021-09-23 00:02:54.892131 : Epoch  6, Batch    742, Loss  0.769080, Average Loss  0.771247, Time  0.253957
2021-09-23 00:02:56.790305 : Epoch  6, Batch    743, Loss  0.772466, Average Loss  0.771276, Time  0.251854
2021-09-23 00:02:58.484110 : Epoch  4, Batch    131, Loss  0.854585, Average Loss  0.870966, Time  0.413305
2021-09-23 00:02:58.707017 : Epoch  6, Batch    744, Loss  0.778133, Average Loss  0.771323, Time  0.251837
2021-09-23 00:03:00.607569 : Epoch  6, Batch    745, Loss  0.756332, Average Loss  0.771281, Time  0.256239
2021-09-23 00:03:02.546986 : Epoch  6, Batch    746, Loss  0.772522, Average Loss  0.771308, Time  0.257751
2021-09-23 00:03:03.465776 : Epoch  4, Batch    132, Loss  0.874565, Average Loss  0.870989, Time  0.413121
2021-09-23 00:03:04.533849 : Epoch  6, Batch    747, Loss  0.771001, Average Loss  0.771313, Time  0.332129
2021-09-23 00:03:06.446028 : Epoch  6, Batch    748, Loss  0.765255, Average Loss  0.771314, Time  0.255162
2021-09-23 00:03:08.354097 : Epoch  6, Batch    749, Loss  0.768626, Average Loss  0.771312, Time  0.256959
2021-09-23 00:03:08.435811 : Epoch  4, Batch    133, Loss  0.878678, Average Loss  0.871087, Time  0.413231
2021-09-23 00:03:10.247899 : Epoch  6, Batch    750, Loss  0.762871, Average Loss  0.771223, Time  0.251335
2021-09-23 00:03:12.161631 : Epoch  6, Batch    751, Loss  0.781389, Average Loss  0.771243, Time  0.251421
2021-09-23 00:03:13.402847 : Epoch  4, Batch    134, Loss  0.873493, Average Loss  0.871184, Time  0.413224
2021-09-23 00:03:14.067395 : Epoch  6, Batch    752, Loss  0.779629, Average Loss  0.771281, Time  0.253324
2021-09-23 00:03:16.079848 : Epoch  6, Batch    753, Loss  0.765698, Average Loss  0.771273, Time  0.323513
2021-09-23 00:03:17.978335 : Epoch  6, Batch    754, Loss  0.770843, Average Loss  0.771283, Time  0.252266
2021-09-23 00:03:18.269282 : CheckPoint: Validation Loss  0.00032424, Best Loss  0.00030606
2021-09-23 00:03:18.422759 : Epoch  4, Batch    135, Loss  0.873173, Average Loss  0.871176, Time  0.456121
2021-09-23 00:03:19.901757 : Epoch  6, Batch    755, Loss  0.783761, Average Loss  0.771337, Time  0.252442
2021-09-23 00:03:20.147899 : Epoch  7, Batch     79, Loss  0.777315, Average Loss  0.771915, Time  0.250328
2021-09-23 00:03:21.817332 : Epoch  6, Batch    756, Loss  0.769502, Average Loss  0.771349, Time  0.263489
2021-09-23 00:03:22.047205 : Epoch  7, Batch     80, Loss  0.777197, Average Loss  0.771871, Time  0.255281
2021-09-23 00:03:23.393126 : Epoch  4, Batch    136, Loss  0.872626, Average Loss  0.871136, Time  0.413681
2021-09-23 00:03:23.806800 : Epoch  6, Batch    757, Loss  0.770031, Average Loss  0.771368, Time  0.313450
2021-09-23 00:03:23.973336 : Epoch  7, Batch     81, Loss  0.773184, Average Loss  0.771848, Time  0.283702
2021-09-23 00:03:25.818809 : Epoch  6, Batch    758, Loss  0.766727, Average Loss  0.771373, Time  0.374881
2021-09-23 00:03:25.946690 : Epoch  7, Batch     82, Loss  0.760462, Average Loss  0.771793, Time  0.341193
2021-09-23 00:03:27.867538 : Epoch  6, Batch    759, Loss  0.785673, Average Loss  0.771402, Time  0.400763
2021-09-23 00:03:27.968304 : Epoch  7, Batch     83, Loss  0.781324, Average Loss  0.771885, Time  0.364256
2021-09-23 00:03:28.381886 : Epoch  4, Batch    137, Loss  0.877125, Average Loss  0.871179, Time  0.413994
2021-09-23 00:03:30.016335 : Epoch  6, Batch    760, Loss  0.762551, Average Loss  0.771396, Time  0.484530
2021-09-23 00:03:30.068148 : Epoch  7, Batch     84, Loss  0.769325, Average Loss  0.771820, Time  0.444908
2021-09-23 00:03:32.223744 : Epoch  7, Batch     85, Loss  0.769249, Average Loss  0.771812, Time  0.513166
2021-09-23 00:03:32.268077 : Epoch  6, Batch    761, Loss  0.776516, Average Loss  0.771435, Time  0.498162
2021-09-23 00:03:33.348751 : Epoch  4, Batch    138, Loss  0.864319, Average Loss  0.871164, Time  0.413682
2021-09-23 00:03:34.388803 : Epoch  7, Batch     86, Loss  0.786923, Average Loss  0.771863, Time  0.506516
2021-09-23 00:03:34.422980 : Epoch  6, Batch    762, Loss  0.785067, Average Loss  0.771505, Time  0.485551
2021-09-23 00:03:36.609945 : Epoch  7, Batch     87, Loss  0.759609, Average Loss  0.771816, Time  0.515733
2021-09-23 00:03:36.647418 : Epoch  6, Batch    763, Loss  0.769920, Average Loss  0.771511, Time  0.514818
2021-09-23 00:03:38.323787 : Epoch  4, Batch    139, Loss  0.887694, Average Loss  0.871207, Time  0.415483
2021-09-23 00:03:38.753093 : Epoch  7, Batch     88, Loss  0.772763, Average Loss  0.771849, Time  0.499050
2021-09-23 00:03:38.788655 : Epoch  6, Batch    764, Loss  0.778792, Average Loss  0.771503, Time  0.482844
2021-09-23 00:03:40.929442 : Epoch  7, Batch     89, Loss  0.761638, Average Loss  0.771758, Time  0.520765
2021-09-23 00:03:40.959268 : Epoch  6, Batch    765, Loss  0.769906, Average Loss  0.771527, Time  0.520797
2021-09-23 00:03:42.815714 : Epoch  7, Batch     90, Loss  0.766969, Average Loss  0.771724, Time  0.251559
2021-09-23 00:03:43.295786 : Epoch  4, Batch    140, Loss  0.872681, Average Loss  0.871283, Time  0.413976
2021-09-23 00:03:44.709731 : Epoch  7, Batch     91, Loss  0.759210, Average Loss  0.771663, Time  0.252457
2021-09-23 00:03:46.602561 : Epoch  7, Batch     92, Loss  0.762063, Average Loss  0.771631, Time  0.256412
2021-09-23 00:03:48.274429 : Epoch  4, Batch    141, Loss  0.861813, Average Loss  0.871163, Time  0.414788
2021-09-23 00:03:48.500873 : Epoch  7, Batch     93, Loss  0.781953, Average Loss  0.771675, Time  0.248266
2021-09-23 00:03:50.369010 : Epoch  7, Batch     94, Loss  0.781054, Average Loss  0.771693, Time  0.253742
2021-09-23 00:03:52.263489 : Epoch  7, Batch     95, Loss  0.776963, Average Loss  0.771756, Time  0.250231
2021-09-23 00:03:53.250804 : Epoch  4, Batch    142, Loss  0.859896, Average Loss  0.871088, Time  0.413656
2021-09-23 00:03:54.140162 : Epoch  7, Batch     96, Loss  0.768027, Average Loss  0.771753, Time  0.249165
2021-09-23 00:03:56.009916 : Epoch  7, Batch     97, Loss  0.765135, Average Loss  0.771717, Time  0.248149
2021-09-23 00:03:58.013307 : Epoch  7, Batch     98, Loss  0.770342, Average Loss  0.771693, Time  0.324921
2021-09-23 00:03:58.217739 : Epoch  4, Batch    143, Loss  0.859866, Average Loss  0.871003, Time  0.412983
2021-09-23 00:03:59.910025 : Epoch  7, Batch     99, Loss  0.760530, Average Loss  0.771644, Time  0.252705
2021-09-23 00:04:01.795602 : Epoch  7, Batch    100, Loss  0.765541, Average Loss  0.771615, Time  0.247944
2021-09-23 00:04:03.253941 : Epoch  4, Batch    144, Loss  0.872159, Average Loss  0.870982, Time  0.461658
2021-09-23 00:04:03.704849 : Epoch  7, Batch    101, Loss  0.772818, Average Loss  0.771637, Time  0.250146
2021-09-23 00:04:05.584410 : Epoch  7, Batch    102, Loss  0.769798, Average Loss  0.771675, Time  0.248676
2021-09-23 00:04:07.479859 : Epoch  7, Batch    103, Loss  0.760308, Average Loss  0.771555, Time  0.248912
2021-09-23 00:04:08.223740 : Epoch  4, Batch    145, Loss  0.853114, Average Loss  0.870889, Time  0.412867
2021-09-23 00:04:09.361070 : Epoch  7, Batch    104, Loss  0.774986, Average Loss  0.771542, Time  0.251329
2021-09-23 00:04:11.356904 : Epoch  7, Batch    105, Loss  0.775333, Average Loss  0.771506, Time  0.326842
2021-09-23 00:04:13.186784 : Epoch  4, Batch    146, Loss  0.889421, Average Loss  0.870941, Time  0.412960
2021-09-23 00:04:13.259013 : Epoch  7, Batch    106, Loss  0.774786, Average Loss  0.771551, Time  0.256592
2021-09-23 00:04:15.150133 : Epoch  7, Batch    107, Loss  0.770564, Average Loss  0.771627, Time  0.252423
2021-09-23 00:04:17.072865 : Epoch  7, Batch    108, Loss  0.772628, Average Loss  0.771647, Time  0.252369
2021-09-23 00:04:18.208994 : Epoch  4, Batch    147, Loss  0.866464, Average Loss  0.870910, Time  0.413315
2021-09-23 00:04:18.974150 : Epoch  7, Batch    109, Loss  0.774762, Average Loss  0.771670, Time  0.254588
2021-09-23 00:04:20.885803 : Epoch  7, Batch    110, Loss  0.771329, Average Loss  0.771676, Time  0.252613
2021-09-23 00:04:22.786918 : Epoch  7, Batch    111, Loss  0.764773, Average Loss  0.771660, Time  0.250165
2021-09-23 00:04:23.186579 : Epoch  4, Batch    148, Loss  0.862691, Average Loss  0.870884, Time  0.413992
2021-09-23 00:04:24.757329 : Epoch  7, Batch    112, Loss  0.769556, Average Loss  0.771626, Time  0.322741
2021-09-23 00:04:26.639948 : Epoch  7, Batch    113, Loss  0.776084, Average Loss  0.771678, Time  0.248910
2021-09-23 00:04:28.157807 : Epoch  4, Batch    149, Loss  0.890490, Average Loss  0.870929, Time  0.413452
2021-09-23 00:04:28.586954 : Epoch  7, Batch    114, Loss  0.777397, Average Loss  0.771697, Time  0.254914
2021-09-23 00:04:30.478319 : Epoch  7, Batch    115, Loss  0.778852, Average Loss  0.771744, Time  0.254064
2021-09-23 00:04:32.369777 : Epoch  7, Batch    116, Loss  0.768698, Average Loss  0.771741, Time  0.248863
2021-09-23 00:04:33.128872 : Epoch  4, Batch    150, Loss  0.886708, Average Loss  0.871029, Time  0.414662
2021-09-23 00:04:34.250309 : Epoch  7, Batch    117, Loss  0.774626, Average Loss  0.771741, Time  0.248918
2021-09-23 00:04:36.154847 : Epoch  7, Batch    118, Loss  0.774104, Average Loss  0.771758, Time  0.253224
2021-09-23 00:04:38.117898 : Epoch  7, Batch    119, Loss  0.773179, Average Loss  0.771783, Time  0.327255
2021-09-23 00:04:38.129905 : Epoch  4, Batch    151, Loss  0.864064, Average Loss  0.870988, Time  0.413420
2021-09-23 00:04:40.000218 : Epoch  7, Batch    120, Loss  0.770276, Average Loss  0.771850, Time  0.252329
2021-09-23 00:04:41.898960 : Epoch  7, Batch    121, Loss  0.769041, Average Loss  0.771899, Time  0.259881
2021-09-23 00:04:43.121143 : Epoch  4, Batch    152, Loss  0.874872, Average Loss  0.871049, Time  0.413845
2021-09-23 00:04:43.789897 : Epoch  7, Batch    122, Loss  0.768598, Average Loss  0.771850, Time  0.253839
2021-09-23 00:04:45.704831 : Epoch  7, Batch    123, Loss  0.770008, Average Loss  0.771869, Time  0.264304
2021-09-23 00:04:47.630254 : Epoch  7, Batch    124, Loss  0.758813, Average Loss  0.771864, Time  0.248748
2021-09-23 00:04:48.091758 : Epoch  4, Batch    153, Loss  0.873541, Average Loss  0.870987, Time  0.413430
2021-09-23 00:04:49.510260 : Epoch  7, Batch    125, Loss  0.755799, Average Loss  0.771751, Time  0.251458
2021-09-23 00:04:51.481269 : Epoch  7, Batch    126, Loss  0.770328, Average Loss  0.771719, Time  0.324441
2021-09-23 00:04:51.973984 : CheckPoint: Validation Loss  0.00031792, Best Loss  0.00030514
2021-09-23 00:04:53.098946 : Epoch  4, Batch    154, Loss  0.857843, Average Loss  0.870900, Time  0.461659
2021-09-23 00:04:53.364244 : Epoch  7, Batch    127, Loss  0.773095, Average Loss  0.771688, Time  0.250124
2021-09-23 00:04:53.881054 : Epoch  6, Batch    766, Loss  0.764454, Average Loss  0.771486, Time  0.258467
2021-09-23 00:04:55.223891 : Epoch  7, Batch    128, Loss  0.776284, Average Loss  0.771692, Time  0.247886
2021-09-23 00:04:55.803951 : Epoch  6, Batch    767, Loss  0.772914, Average Loss  0.771416, Time  0.255810
2021-09-23 00:04:57.132785 : Epoch  7, Batch    129, Loss  0.771729, Average Loss  0.771690, Time  0.258171
2021-09-23 00:04:57.713532 : Epoch  6, Batch    768, Loss  0.765096, Average Loss  0.771405, Time  0.251004
2021-09-23 00:04:58.074850 : Epoch  4, Batch    155, Loss  0.870135, Average Loss  0.870905, Time  0.415570
2021-09-23 00:04:59.016398 : Epoch  7, Batch    130, Loss  0.763448, Average Loss  0.771650, Time  0.250487
2021-09-23 00:04:59.626397 : Epoch  6, Batch    769, Loss  0.769342, Average Loss  0.771299, Time  0.251261
2021-09-23 00:05:00.922231 : Epoch  7, Batch    131, Loss  0.767488, Average Loss  0.771626, Time  0.248169
2021-09-23 00:05:01.526201 : Epoch  6, Batch    770, Loss  0.774148, Average Loss  0.771282, Time  0.251580
2021-09-23 00:05:02.843943 : Epoch  7, Batch    132, Loss  0.767077, Average Loss  0.771605, Time  0.249083
2021-09-23 00:05:03.048002 : Epoch  4, Batch    156, Loss  0.867716, Average Loss  0.870845, Time  0.413182
2021-09-23 00:05:03.428248 : Epoch  6, Batch    771, Loss  0.775577, Average Loss  0.771288, Time  0.252128
2021-09-23 00:05:04.735219 : Epoch  7, Batch    133, Loss  0.774080, Average Loss  0.771636, Time  0.251682
2021-09-23 00:05:05.336450 : Epoch  6, Batch    772, Loss  0.779750, Average Loss  0.771390, Time  0.252931
2021-09-23 00:05:06.636953 : Epoch  7, Batch    134, Loss  0.766026, Average Loss  0.771626, Time  0.254369
2021-09-23 00:05:07.246271 : Epoch  6, Batch    773, Loss  0.766531, Average Loss  0.771342, Time  0.255583
2021-09-23 00:05:08.021734 : Epoch  4, Batch    157, Loss  0.866334, Average Loss  0.870821, Time  0.413800
2021-09-23 00:05:08.510173 : Epoch  7, Batch    135, Loss  0.765807, Average Loss  0.771607, Time  0.251068
2021-09-23 00:05:09.129693 : Epoch  6, Batch    774, Loss  0.754905, Average Loss  0.771219, Time  0.253190
2021-09-23 00:05:10.400231 : Epoch  7, Batch    136, Loss  0.772050, Average Loss  0.771558, Time  0.254670
2021-09-23 00:05:11.058172 : Epoch  6, Batch    775, Loss  0.772250, Average Loss  0.771180, Time  0.253850
2021-09-23 00:05:12.300074 : Epoch  7, Batch    137, Loss  0.766809, Average Loss  0.771490, Time  0.251430
2021-09-23 00:05:12.964973 : Epoch  6, Batch    776, Loss  0.777819, Average Loss  0.771174, Time  0.251935
2021-09-23 00:05:12.992948 : Epoch  4, Batch    158, Loss  0.895932, Average Loss  0.870878, Time  0.414346
2021-09-23 00:05:14.174101 : Epoch  7, Batch    138, Loss  0.762277, Average Loss  0.771435, Time  0.248460
2021-09-23 00:05:14.861848 : Epoch  6, Batch    777, Loss  0.769634, Average Loss  0.771150, Time  0.260262
2021-09-23 00:05:16.070711 : Epoch  7, Batch    139, Loss  0.767541, Average Loss  0.771453, Time  0.255869
2021-09-23 00:05:16.762817 : Epoch  6, Batch    778, Loss  0.770307, Average Loss  0.771174, Time  0.253508
2021-09-23 00:05:17.954407 : Epoch  7, Batch    140, Loss  0.777415, Average Loss  0.771445, Time  0.250543
2021-09-23 00:05:17.983822 : Epoch  4, Batch    159, Loss  0.881147, Average Loss  0.870944, Time  0.420062
2021-09-23 00:05:18.708053 : Epoch  6, Batch    779, Loss  0.773128, Average Loss  0.771257, Time  0.267475
2021-09-23 00:05:19.856271 : Epoch  7, Batch    141, Loss  0.771324, Average Loss  0.771430, Time  0.253309
2021-09-23 00:05:20.607835 : Epoch  6, Batch    780, Loss  0.772377, Average Loss  0.771262, Time  0.251046
2021-09-23 00:05:21.760295 : Epoch  7, Batch    142, Loss  0.777575, Average Loss  0.771470, Time  0.252866
2021-09-23 00:05:22.518385 : Epoch  6, Batch    781, Loss  0.773919, Average Loss  0.771281, Time  0.256595
2021-09-23 00:05:22.957849 : Epoch  4, Batch    160, Loss  0.871269, Average Loss  0.871000, Time  0.413276
2021-09-23 00:05:23.676510 : Epoch  7, Batch    143, Loss  0.759180, Average Loss  0.771454, Time  0.249437
2021-09-23 00:05:24.432478 : Epoch  6, Batch    782, Loss  0.766233, Average Loss  0.771298, Time  0.256419
2021-09-23 00:05:25.556013 : Epoch  7, Batch    144, Loss  0.764116, Average Loss  0.771422, Time  0.254434
2021-09-23 00:05:26.322295 : Epoch  6, Batch    783, Loss  0.774306, Average Loss  0.771316, Time  0.258736
2021-09-23 00:05:27.449979 : Epoch  7, Batch    145, Loss  0.764685, Average Loss  0.771355, Time  0.259967
2021-09-23 00:05:27.917010 : Epoch  4, Batch    161, Loss  0.869632, Average Loss  0.870988, Time  0.412988
2021-09-23 00:05:28.232246 : Epoch  6, Batch    784, Loss  0.756541, Average Loss  0.771210, Time  0.252085
2021-09-23 00:05:29.362912 : Epoch  7, Batch    146, Loss  0.768933, Average Loss  0.771339, Time  0.254118
2021-09-23 00:05:30.114128 : Epoch  6, Batch    785, Loss  0.781515, Average Loss  0.771239, Time  0.253811
2021-09-23 00:05:31.269294 : Epoch  7, Batch    147, Loss  0.775087, Average Loss  0.771351, Time  0.249397
2021-09-23 00:05:32.025079 : Epoch  6, Batch    786, Loss  0.769693, Average Loss  0.771251, Time  0.257929
2021-09-23 00:05:32.933163 : Epoch  4, Batch    162, Loss  0.869200, Average Loss  0.870903, Time  0.413161
2021-09-23 00:05:33.159938 : Epoch  7, Batch    148, Loss  0.766590, Average Loss  0.771340, Time  0.251463
2021-09-23 00:05:33.929870 : Epoch  6, Batch    787, Loss  0.770357, Average Loss  0.771278, Time  0.258837
2021-09-23 00:05:33.971342 : Saving Model after 6-th Epoch.
2021-09-23 00:05:34.840403 : Epoch Finished.
2021-09-23 00:05:36.658368 : Batch Shuffled
2021-09-23 00:05:36.976338 : Epoch  7, Batch    149, Loss  0.754984, Average Loss  0.771221, Time  0.263577
2021-09-23 00:05:37.925741 : Epoch  4, Batch    163, Loss  0.866912, Average Loss  0.870852, Time  0.440494
2021-09-23 00:05:38.557785 : Epoch  7, Batch      1, Loss  0.766645, Average Loss  0.771286, Time  0.259995
2021-09-23 00:05:38.858888 : Epoch  7, Batch    150, Loss  0.776452, Average Loss  0.771270, Time  0.248644
2021-09-23 00:05:40.474306 : Epoch  7, Batch      2, Loss  0.766581, Average Loss  0.771350, Time  0.255053
2021-09-23 00:05:40.763647 : Epoch  7, Batch    151, Loss  0.765267, Average Loss  0.771248, Time  0.252225
2021-09-23 00:05:42.370069 : Epoch  7, Batch      3, Loss  0.774269, Average Loss  0.771362, Time  0.251676
2021-09-23 00:05:42.641810 : Epoch  7, Batch    152, Loss  0.771940, Average Loss  0.771238, Time  0.250075
2021-09-23 00:05:42.915213 : Epoch  4, Batch    164, Loss  0.879628, Average Loss  0.870842, Time  0.413848
2021-09-23 00:05:44.252325 : Epoch  7, Batch      4, Loss  0.773396, Average Loss  0.771320, Time  0.257483
2021-09-23 00:05:44.520918 : Epoch  7, Batch    153, Loss  0.773456, Average Loss  0.771263, Time  0.249728
2021-09-23 00:05:46.163653 : Epoch  7, Batch      5, Loss  0.772402, Average Loss  0.771341, Time  0.260465
2021-09-23 00:05:46.403839 : Epoch  7, Batch    154, Loss  0.773746, Average Loss  0.771244, Time  0.254953
2021-09-23 00:05:47.883415 : Epoch  4, Batch    165, Loss  0.868277, Average Loss  0.870846, Time  0.414010
2021-09-23 00:05:48.066682 : Epoch  7, Batch      6, Loss  0.759834, Average Loss  0.771253, Time  0.252891
2021-09-23 00:05:48.299443 : Epoch  7, Batch    155, Loss  0.771707, Average Loss  0.771211, Time  0.257853
2021-09-23 00:05:49.989819 : Epoch  7, Batch      7, Loss  0.782108, Average Loss  0.771285, Time  0.280072
2021-09-23 00:05:50.189686 : Epoch  7, Batch    156, Loss  0.772576, Average Loss  0.771254, Time  0.269629
2021-09-23 00:05:52.025623 : Epoch  7, Batch      8, Loss  0.769931, Average Loss  0.771253, Time  0.376791
2021-09-23 00:05:52.151317 : Epoch  7, Batch    157, Loss  0.769053, Average Loss  0.771232, Time  0.343091
2021-09-23 00:05:52.872497 : Epoch  4, Batch    166, Loss  0.870131, Average Loss  0.870880, Time  0.416367
2021-09-23 00:05:54.094379 : Epoch  7, Batch      9, Loss  0.768023, Average Loss  0.771235, Time  0.430647
2021-09-23 00:05:54.183093 : Epoch  7, Batch    158, Loss  0.762795, Average Loss  0.771159, Time  0.395487
2021-09-23 00:05:56.238409 : Epoch  7, Batch     10, Loss  0.771726, Average Loss  0.771183, Time  0.489483
2021-09-23 00:05:56.284339 : Epoch  7, Batch    159, Loss  0.758722, Average Loss  0.771102, Time  0.453351
2021-09-23 00:05:57.834334 : Epoch  4, Batch    167, Loss  0.866635, Average Loss  0.870849, Time  0.413183
2021-09-23 00:05:58.405183 : Epoch  7, Batch     11, Loss  0.760904, Average Loss  0.771200, Time  0.511834
2021-09-23 00:05:58.444811 : Epoch  7, Batch    160, Loss  0.779648, Average Loss  0.771191, Time  0.489664
2021-09-23 00:06:00.556448 : Epoch  7, Batch     12, Loss  0.775221, Average Loss  0.771184, Time  0.509195
2021-09-23 00:06:00.587587 : Epoch  7, Batch    161, Loss  0.767347, Average Loss  0.771178, Time  0.485132
2021-09-23 00:06:02.685671 : Epoch  7, Batch     13, Loss  0.773286, Average Loss  0.771236, Time  0.503177
2021-09-23 00:06:02.718640 : Epoch  7, Batch    162, Loss  0.776149, Average Loss  0.771159, Time  0.469531
2021-09-23 00:06:02.802880 : Epoch  4, Batch    168, Loss  0.868261, Average Loss  0.870785, Time  0.413501
2021-09-23 00:06:04.879092 : Epoch  7, Batch    163, Loss  0.767921, Average Loss  0.771133, Time  0.523877
2021-09-23 00:06:04.914212 : Epoch  7, Batch     14, Loss  0.768412, Average Loss  0.771218, Time  0.529226
2021-09-23 00:06:07.009930 : Epoch  7, Batch    164, Loss  0.766620, Average Loss  0.771098, Time  0.495949
2021-09-23 00:06:07.040743 : Epoch  7, Batch     15, Loss  0.765687, Average Loss  0.771125, Time  0.467376
2021-09-23 00:06:07.777046 : Epoch  4, Batch    169, Loss  0.860935, Average Loss  0.870696, Time  0.412954
2021-09-23 00:06:09.101260 : Epoch  7, Batch    165, Loss  0.786500, Average Loss  0.771183, Time  0.473171
2021-09-23 00:06:09.152465 : Epoch  7, Batch     16, Loss  0.778391, Average Loss  0.771185, Time  0.446766
2021-09-23 00:06:11.197247 : Epoch  7, Batch    166, Loss  0.783936, Average Loss  0.771221, Time  0.473083
2021-09-23 00:06:11.250219 : Epoch  7, Batch     17, Loss  0.766121, Average Loss  0.771166, Time  0.445506
2021-09-23 00:06:12.747157 : Epoch  4, Batch    170, Loss  0.872455, Average Loss  0.870743, Time  0.413607
2021-09-23 00:06:13.330817 : Epoch  7, Batch    167, Loss  0.768135, Average Loss  0.771245, Time  0.497129
2021-09-23 00:06:13.362802 : Epoch  7, Batch     18, Loss  0.777258, Average Loss  0.771153, Time  0.460746
2021-09-23 00:06:15.480354 : Epoch  7, Batch    168, Loss  0.772043, Average Loss  0.771243, Time  0.503525
2021-09-23 00:06:15.519865 : Epoch  7, Batch     19, Loss  0.778944, Average Loss  0.771182, Time  0.477122
2021-09-23 00:06:17.590875 : Epoch  7, Batch    169, Loss  0.778694, Average Loss  0.771220, Time  0.480560
2021-09-23 00:06:17.634456 : Epoch  7, Batch     20, Loss  0.764356, Average Loss  0.771191, Time  0.446677
2021-09-23 00:06:17.718772 : Epoch  4, Batch    171, Loss  0.852013, Average Loss  0.870534, Time  0.413632
2021-09-23 00:06:19.742004 : Epoch  7, Batch    170, Loss  0.784581, Average Loss  0.771242, Time  0.485267
2021-09-23 00:06:19.777563 : Epoch  7, Batch     21, Loss  0.779610, Average Loss  0.771276, Time  0.447814
2021-09-23 00:06:21.897745 : Epoch  7, Batch    171, Loss  0.766984, Average Loss  0.771277, Time  0.500325
2021-09-23 00:06:21.930114 : Epoch  7, Batch     22, Loss  0.762742, Average Loss  0.771254, Time  0.482089
2021-09-23 00:06:22.731839 : Epoch  4, Batch    172, Loss  0.858238, Average Loss  0.870495, Time  0.454193
2021-09-23 00:06:24.021365 : Epoch  7, Batch    172, Loss  0.772637, Average Loss  0.771284, Time  0.494192
2021-09-23 00:06:24.053243 : Epoch  7, Batch     23, Loss  0.764712, Average Loss  0.771208, Time  0.464608
2021-09-23 00:06:26.127323 : Epoch  7, Batch    173, Loss  0.765939, Average Loss  0.771242, Time  0.483206
2021-09-23 00:06:26.170939 : Epoch  7, Batch     24, Loss  0.766587, Average Loss  0.771156, Time  0.457668
2021-09-23 00:06:27.705660 : Epoch  4, Batch    173, Loss  0.870656, Average Loss  0.870459, Time  0.413051
2021-09-23 00:06:28.214947 : Epoch  7, Batch    174, Loss  0.771311, Average Loss  0.771268, Time  0.463770
2021-09-23 00:06:28.274307 : Epoch  7, Batch     25, Loss  0.770295, Average Loss  0.771163, Time  0.433345
2021-09-23 00:06:30.299716 : Epoch  7, Batch    175, Loss  0.766060, Average Loss  0.771297, Time  0.463527
2021-09-23 00:06:30.349432 : Epoch  7, Batch     26, Loss  0.767946, Average Loss  0.771114, Time  0.430908
2021-09-23 00:06:32.408816 : Epoch  7, Batch    176, Loss  0.763296, Average Loss  0.771253, Time  0.493651
2021-09-23 00:06:32.442934 : Epoch  7, Batch     27, Loss  0.753138, Average Loss  0.771052, Time  0.451819
2021-09-23 00:06:32.660625 : Epoch  4, Batch    174, Loss  0.867036, Average Loss  0.870479, Time  0.413401
2021-09-23 00:06:34.527829 : Epoch  7, Batch    177, Loss  0.767154, Average Loss  0.771229, Time  0.491675
2021-09-23 00:06:34.561350 : Epoch  7, Batch     28, Loss  0.798993, Average Loss  0.771132, Time  0.463797
2021-09-23 00:06:36.646894 : Epoch  7, Batch    178, Loss  0.772847, Average Loss  0.771257, Time  0.485714
2021-09-23 00:06:36.684351 : Epoch  7, Batch     29, Loss  0.771926, Average Loss  0.771194, Time  0.451039
2021-09-23 00:06:37.622772 : Epoch  4, Batch    175, Loss  0.871994, Average Loss  0.870488, Time  0.412988
2021-09-23 00:06:38.592394 : Epoch  7, Batch     30, Loss  0.778376, Average Loss  0.771234, Time  0.254039
2021-09-23 00:06:40.500786 : Epoch  7, Batch     31, Loss  0.770451, Average Loss  0.771211, Time  0.254765
2021-09-23 00:06:42.405590 : Epoch  7, Batch     32, Loss  0.764636, Average Loss  0.771196, Time  0.254235
2021-09-23 00:06:42.596238 : Epoch  4, Batch    176, Loss  0.851353, Average Loss  0.870379, Time  0.414441
2021-09-23 00:06:44.285214 : Epoch  7, Batch     33, Loss  0.769569, Average Loss  0.771254, Time  0.250603
2021-09-23 00:06:46.179868 : Epoch  7, Batch     34, Loss  0.772328, Average Loss  0.771269, Time  0.251546
2021-09-23 00:06:47.566026 : Epoch  4, Batch    177, Loss  0.880965, Average Loss  0.870395, Time  0.413851
2021-09-23 00:06:48.083868 : Epoch  7, Batch     35, Loss  0.770326, Average Loss  0.771254, Time  0.256610
2021-09-23 00:06:49.999140 : Epoch  7, Batch     36, Loss  0.766166, Average Loss  0.771216, Time  0.266765
2021-09-23 00:06:51.979788 : Epoch  7, Batch     37, Loss  0.777493, Average Loss  0.771272, Time  0.327636
2021-09-23 00:06:52.541006 : Epoch  4, Batch    178, Loss  0.880925, Average Loss  0.870458, Time  0.413393
2021-09-23 00:06:53.905407 : Epoch  7, Batch     38, Loss  0.761024, Average Loss  0.771222, Time  0.260570
2021-09-23 00:06:55.806545 : Epoch  7, Batch     39, Loss  0.775284, Average Loss  0.771272, Time  0.251879
2021-09-23 00:06:57.515990 : Epoch  4, Batch    179, Loss  0.850188, Average Loss  0.870313, Time  0.414240
2021-09-23 00:06:57.706821 : Epoch  7, Batch     40, Loss  0.773015, Average Loss  0.771263, Time  0.251632
2021-09-23 00:06:59.605929 : Epoch  7, Batch     41, Loss  0.775882, Average Loss  0.771219, Time  0.251130
2021-09-23 00:07:01.499407 : Epoch  7, Batch     42, Loss  0.764917, Average Loss  0.771140, Time  0.251967
2021-09-23 00:07:02.492822 : Epoch  4, Batch    180, Loss  0.880816, Average Loss  0.870438, Time  0.413382
2021-09-23 00:07:03.483893 : Epoch  7, Batch     43, Loss  0.766818, Average Loss  0.771068, Time  0.330113
2021-09-23 00:07:05.382771 : Epoch  7, Batch     44, Loss  0.772036, Average Loss  0.770990, Time  0.251746
2021-09-23 00:07:07.287011 : Epoch  7, Batch     45, Loss  0.780355, Average Loss  0.771019, Time  0.254368
2021-09-23 00:07:07.525850 : Epoch  4, Batch    181, Loss  0.865697, Average Loss  0.870425, Time  0.464355
2021-09-23 00:07:09.190453 : Epoch  7, Batch     46, Loss  0.773194, Average Loss  0.771035, Time  0.254253
2021-09-23 00:07:11.079034 : Epoch  7, Batch     47, Loss  0.763772, Average Loss  0.770998, Time  0.251601
2021-09-23 00:07:12.536013 : Epoch  4, Batch    182, Loss  0.872669, Average Loss  0.870370, Time  0.418106
2021-09-23 00:07:12.995988 : Epoch  7, Batch     48, Loss  0.771240, Average Loss  0.770994, Time  0.253477
2021-09-23 00:07:14.974573 : Epoch  7, Batch     49, Loss  0.771580, Average Loss  0.771010, Time  0.326048
2021-09-23 00:07:16.864926 : Epoch  7, Batch     50, Loss  0.767851, Average Loss  0.770999, Time  0.251681
2021-09-23 00:07:17.573759 : Epoch  4, Batch    183, Loss  0.872171, Average Loss  0.870402, Time  0.412822
2021-09-23 00:07:18.759217 : Epoch  7, Batch     51, Loss  0.764882, Average Loss  0.770983, Time  0.253412
2021-09-23 00:07:20.669654 : Epoch  7, Batch     52, Loss  0.775537, Average Loss  0.771001, Time  0.253320
2021-09-23 00:07:22.542052 : Epoch  4, Batch    184, Loss  0.856033, Average Loss  0.870332, Time  0.413235
2021-09-23 00:07:22.572283 : Epoch  7, Batch     53, Loss  0.767212, Average Loss  0.771055, Time  0.255506
2021-09-23 00:07:24.473829 : Epoch  7, Batch     54, Loss  0.767860, Average Loss  0.771056, Time  0.251631
2021-09-23 00:07:26.388294 : Epoch  7, Batch     55, Loss  0.767234, Average Loss  0.771035, Time  0.255756
2021-09-23 00:07:27.528027 : Epoch  4, Batch    185, Loss  0.867392, Average Loss  0.870326, Time  0.413716
2021-09-23 00:07:28.318267 : Epoch  7, Batch     56, Loss  0.769284, Average Loss  0.771017, Time  0.271781
2021-09-23 00:07:30.200932 : Epoch  7, Batch     57, Loss  0.773302, Average Loss  0.770994, Time  0.252452
2021-09-23 00:07:32.096229 : Epoch  7, Batch     58, Loss  0.751508, Average Loss  0.770895, Time  0.253611
2021-09-23 00:07:32.484274 : Epoch  4, Batch    186, Loss  0.884324, Average Loss  0.870382, Time  0.412939
2021-09-23 00:07:33.983473 : Epoch  7, Batch     59, Loss  0.756086, Average Loss  0.770803, Time  0.252633
2021-09-23 00:07:35.877747 : Epoch  7, Batch     60, Loss  0.765325, Average Loss  0.770782, Time  0.252945
2021-09-23 00:07:37.449816 : Epoch  4, Batch    187, Loss  0.874257, Average Loss  0.870429, Time  0.413270
2021-09-23 00:07:37.781714 : Epoch  7, Batch     61, Loss  0.770121, Average Loss  0.770767, Time  0.251647
2021-09-23 00:07:39.762678 : Epoch  7, Batch     62, Loss  0.779439, Average Loss  0.770811, Time  0.327461
2021-09-23 00:07:41.660214 : Epoch  7, Batch     63, Loss  0.763089, Average Loss  0.770773, Time  0.250884
2021-09-23 00:07:42.439028 : Epoch  4, Batch    188, Loss  0.883457, Average Loss  0.870511, Time  0.414347
2021-09-23 00:07:43.553766 : Epoch  7, Batch     64, Loss  0.781985, Average Loss  0.770837, Time  0.252185
2021-09-23 00:07:45.471985 : Epoch  7, Batch     65, Loss  0.766529, Average Loss  0.770820, Time  0.251470
2021-09-23 00:07:46.816244 : CheckPoint: Validation Loss  0.00031651, Best Loss  0.00030606
2021-09-23 00:07:47.391687 : Epoch  7, Batch     66, Loss  0.770131, Average Loss  0.770846, Time  0.250740
2021-09-23 00:07:47.419967 : Epoch  4, Batch    189, Loss  0.868472, Average Loss  0.870598, Time  0.413760
2021-09-23 00:07:48.712755 : Epoch  7, Batch    179, Loss  0.777504, Average Loss  0.771275, Time  0.251011
2021-09-23 00:07:49.288143 : Epoch  7, Batch     67, Loss  0.766468, Average Loss  0.770847, Time  0.252611
2021-09-23 00:07:50.600508 : Epoch  7, Batch    180, Loss  0.785274, Average Loss  0.771362, Time  0.255974
2021-09-23 00:07:51.199638 : Epoch  7, Batch     68, Loss  0.768838, Average Loss  0.770834, Time  0.254106
2021-09-23 00:07:52.435956 : Epoch  4, Batch    190, Loss  0.868465, Average Loss  0.870614, Time  0.453297
2021-09-23 00:07:52.491514 : Epoch  7, Batch    181, Loss  0.781637, Average Loss  0.771369, Time  0.250108
2021-09-23 00:07:53.108026 : Epoch  7, Batch     69, Loss  0.767088, Average Loss  0.770800, Time  0.259725
2021-09-23 00:07:54.401921 : Epoch  7, Batch    182, Loss  0.768773, Average Loss  0.771344, Time  0.257573
2021-09-23 00:07:55.011210 : Epoch  7, Batch     70, Loss  0.765515, Average Loss  0.770825, Time  0.253062
2021-09-23 00:07:56.296693 : Epoch  7, Batch    183, Loss  0.777808, Average Loss  0.771357, Time  0.254976
2021-09-23 00:07:56.938299 : Epoch  7, Batch     71, Loss  0.768112, Average Loss  0.770780, Time  0.255291
2021-09-23 00:07:57.416108 : Epoch  4, Batch    191, Loss  0.871347, Average Loss  0.870623, Time  0.413696
2021-09-23 00:07:58.230830 : Epoch  7, Batch    184, Loss  0.769757, Average Loss  0.771374, Time  0.249816
2021-09-23 00:07:58.857086 : Epoch  7, Batch     72, Loss  0.771145, Average Loss  0.770713, Time  0.255769
2021-09-23 00:08:00.123940 : Epoch  7, Batch    185, Loss  0.778229, Average Loss  0.771397, Time  0.248477
2021-09-23 00:08:00.751266 : Epoch  7, Batch     73, Loss  0.762421, Average Loss  0.770675, Time  0.251892
2021-09-23 00:08:02.028247 : Epoch  7, Batch    186, Loss  0.778505, Average Loss  0.771434, Time  0.251756
2021-09-23 00:08:02.396022 : Epoch  4, Batch    192, Loss  0.865642, Average Loss  0.870602, Time  0.413420
2021-09-23 00:08:02.645330 : Epoch  7, Batch     74, Loss  0.766490, Average Loss  0.770648, Time  0.252286
2021-09-23 00:08:03.920292 : Epoch  7, Batch    187, Loss  0.769801, Average Loss  0.771412, Time  0.256323
2021-09-23 00:08:04.540071 : Epoch  7, Batch     75, Loss  0.769539, Average Loss  0.770624, Time  0.252524
2021-09-23 00:08:05.816615 : Epoch  7, Batch    188, Loss  0.768146, Average Loss  0.771428, Time  0.250916
2021-09-23 00:08:06.452546 : Epoch  7, Batch     76, Loss  0.775671, Average Loss  0.770683, Time  0.254551
2021-09-23 00:08:07.358056 : Epoch  4, Batch    193, Loss  0.871335, Average Loss  0.870565, Time  0.413693
2021-09-23 00:08:07.707332 : Epoch  7, Batch    189, Loss  0.771138, Average Loss  0.771448, Time  0.252047
2021-09-23 00:08:08.353277 : Epoch  7, Batch     77, Loss  0.769754, Average Loss  0.770675, Time  0.257729
2021-09-23 00:08:09.601167 : Epoch  7, Batch    190, Loss  0.772976, Average Loss  0.771575, Time  0.249462
2021-09-23 00:08:10.244549 : Epoch  7, Batch     78, Loss  0.768767, Average Loss  0.770615, Time  0.253060
2021-09-23 00:08:11.487168 : Epoch  7, Batch    191, Loss  0.771688, Average Loss  0.771542, Time  0.250390
2021-09-23 00:08:12.325898 : Epoch  4, Batch    194, Loss  0.866944, Average Loss  0.870499, Time  0.413308
2021-09-23 00:08:13.417793 : Epoch  7, Batch    192, Loss  0.781374, Average Loss  0.771565, Time  0.265943
2021-09-23 00:08:15.313979 : Epoch  7, Batch    193, Loss  0.769346, Average Loss  0.771615, Time  0.254044
2021-09-23 00:08:17.264555 : Epoch  7, Batch    194, Loss  0.763142, Average Loss  0.771562, Time  0.327355
2021-09-23 00:08:17.279004 : Epoch  4, Batch    195, Loss  0.868453, Average Loss  0.870452, Time  0.413125
2021-09-23 00:08:19.168375 : Epoch  7, Batch    195, Loss  0.775330, Average Loss  0.771566, Time  0.250087
2021-09-23 00:08:21.058037 : Epoch  7, Batch    196, Loss  0.780853, Average Loss  0.771591, Time  0.252273
2021-09-23 00:08:22.271972 : Epoch  4, Batch    196, Loss  0.852035, Average Loss  0.870391, Time  0.413267
2021-09-23 00:08:22.963973 : Epoch  7, Batch    197, Loss  0.769768, Average Loss  0.771627, Time  0.254946
2021-09-23 00:08:24.857821 : Epoch  7, Batch    198, Loss  0.771078, Average Loss  0.771657, Time  0.250417
2021-09-23 00:08:26.770753 : Epoch  7, Batch    199, Loss  0.763124, Average Loss  0.771618, Time  0.254006
2021-09-23 00:08:27.244056 : Epoch  4, Batch    197, Loss  0.872799, Average Loss  0.870453, Time  0.413245
2021-09-23 00:08:28.655963 : Epoch  7, Batch    200, Loss  0.773151, Average Loss  0.771654, Time  0.251859
2021-09-23 00:08:30.616591 : Epoch  7, Batch    201, Loss  0.770797, Average Loss  0.771713, Time  0.327118
2021-09-23 00:08:32.199765 : Epoch  4, Batch    198, Loss  0.895750, Average Loss  0.870493, Time  0.412988
2021-09-23 00:08:32.498329 : Epoch  7, Batch    202, Loss  0.775594, Average Loss  0.771747, Time  0.248364
2021-09-23 00:08:34.375879 : Epoch  7, Batch    203, Loss  0.770104, Average Loss  0.771763, Time  0.248545
2021-09-23 00:08:36.251306 : Epoch  7, Batch    204, Loss  0.771967, Average Loss  0.771805, Time  0.248624
2021-09-23 00:08:37.169814 : Epoch  4, Batch    199, Loss  0.877225, Average Loss  0.870510, Time  0.413633
2021-09-23 00:08:38.140445 : Epoch  7, Batch    205, Loss  0.764005, Average Loss  0.771765, Time  0.252531
2021-09-23 00:08:40.015860 : Epoch  7, Batch    206, Loss  0.763771, Average Loss  0.771787, Time  0.252067
2021-09-23 00:08:41.916903 : Epoch  7, Batch    207, Loss  0.781908, Average Loss  0.771792, Time  0.250071
2021-09-23 00:08:42.181948 : Epoch  4, Batch    200, Loss  0.860666, Average Loss  0.870473, Time  0.449894
2021-09-23 00:08:43.872122 : Epoch  7, Batch    208, Loss  0.773681, Average Loss  0.771757, Time  0.331369
2021-09-23 00:08:45.758450 : Epoch  7, Batch    209, Loss  0.779465, Average Loss  0.771796, Time  0.248662
2021-09-23 00:08:47.142958 : Epoch  4, Batch    201, Loss  0.890558, Average Loss  0.870559, Time  0.413308
2021-09-23 00:08:47.669890 : Epoch  7, Batch    210, Loss  0.774039, Average Loss  0.771742, Time  0.255211
2021-09-23 00:08:49.562247 : Epoch  7, Batch    211, Loss  0.764682, Average Loss  0.771788, Time  0.251367
2021-09-23 00:08:51.443056 : Epoch  7, Batch    212, Loss  0.763349, Average Loss  0.771767, Time  0.251492
2021-09-23 00:08:52.115064 : Epoch  4, Batch    202, Loss  0.864409, Average Loss  0.870466, Time  0.414033
2021-09-23 00:08:53.338531 : Epoch  7, Batch    213, Loss  0.775721, Average Loss  0.771781, Time  0.250466
2021-09-23 00:08:55.203991 : Epoch  7, Batch    214, Loss  0.772573, Average Loss  0.771770, Time  0.248960
2021-09-23 00:08:57.070166 : Epoch  7, Batch    215, Loss  0.758310, Average Loss  0.771733, Time  0.251048
2021-09-23 00:08:57.073998 : Epoch  4, Batch    203, Loss  0.861457, Average Loss  0.870348, Time  0.413377
2021-09-23 00:08:59.038935 : Epoch  7, Batch    216, Loss  0.766786, Average Loss  0.771776, Time  0.326670
2021-09-23 00:09:00.934743 : Epoch  7, Batch    217, Loss  0.767220, Average Loss  0.771699, Time  0.248816
2021-09-23 00:09:02.057741 : Epoch  4, Batch    204, Loss  0.852971, Average Loss  0.870289, Time  0.414509
2021-09-23 00:09:02.809937 : Epoch  7, Batch    218, Loss  0.765036, Average Loss  0.771657, Time  0.249571
2021-09-23 00:09:04.691840 : Epoch  7, Batch    219, Loss  0.779433, Average Loss  0.771658, Time  0.248806
2021-09-23 00:09:06.580849 : Epoch  7, Batch    220, Loss  0.765847, Average Loss  0.771577, Time  0.256122
2021-09-23 00:09:07.029154 : Epoch  4, Batch    205, Loss  0.872405, Average Loss  0.870276, Time  0.413040
2021-09-23 00:09:08.470888 : Epoch  7, Batch    221, Loss  0.763444, Average Loss  0.771529, Time  0.251517
2021-09-23 00:09:10.361348 : Epoch  7, Batch    222, Loss  0.780317, Average Loss  0.771564, Time  0.249216
2021-09-23 00:09:11.999175 : Epoch  4, Batch    206, Loss  0.870094, Average Loss  0.870307, Time  0.416052
2021-09-23 00:09:12.327345 : Epoch  7, Batch    223, Loss  0.779104, Average Loss  0.771577, Time  0.323850
2021-09-23 00:09:14.197201 : Epoch  7, Batch    224, Loss  0.782049, Average Loss  0.771634, Time  0.248290
2021-09-23 00:09:16.073045 : Epoch  7, Batch    225, Loss  0.760642, Average Loss  0.771608, Time  0.250407
2021-09-23 00:09:16.961929 : Epoch  4, Batch    207, Loss  0.872858, Average Loss  0.870341, Time  0.413482
2021-09-23 00:09:17.952157 : Epoch  7, Batch    226, Loss  0.775279, Average Loss  0.771685, Time  0.249693
2021-09-23 00:09:19.871685 : Epoch  7, Batch    227, Loss  0.775566, Average Loss  0.771701, Time  0.248592
2021-09-23 00:09:21.101759 : CheckPoint: Validation Loss  0.00031777, Best Loss  0.00030514
2021-09-23 00:09:21.766436 : Epoch  7, Batch    228, Loss  0.764695, Average Loss  0.771668, Time  0.251075
2021-09-23 00:09:22.002292 : Epoch  4, Batch    208, Loss  0.869712, Average Loss  0.870408, Time  0.413618
2021-09-23 00:09:23.005032 : Epoch  7, Batch     79, Loss  0.771363, Average Loss  0.770597, Time  0.251580
2021-09-23 00:09:23.667822 : Epoch  7, Batch    229, Loss  0.776369, Average Loss  0.771708, Time  0.256984
2021-09-23 00:09:24.905782 : Epoch  7, Batch     80, Loss  0.780881, Average Loss  0.770609, Time  0.251674
2021-09-23 00:09:25.567994 : Epoch  7, Batch    230, Loss  0.767859, Average Loss  0.771705, Time  0.253517
2021-09-23 00:09:26.785312 : Epoch  7, Batch     81, Loss  0.765346, Average Loss  0.770560, Time  0.252713
2021-09-23 00:09:26.995112 : Epoch  4, Batch    209, Loss  0.882213, Average Loss  0.870511, Time  0.453277
2021-09-23 00:09:27.466799 : Epoch  7, Batch    231, Loss  0.769685, Average Loss  0.771780, Time  0.248808
2021-09-23 00:09:28.678603 : Epoch  7, Batch     82, Loss  0.771410, Average Loss  0.770533, Time  0.251683
2021-09-23 00:09:29.341030 : Epoch  7, Batch    232, Loss  0.770650, Average Loss  0.771773, Time  0.253078
2021-09-23 00:09:30.587061 : Epoch  7, Batch     83, Loss  0.777116, Average Loss  0.770600, Time  0.252103
2021-09-23 00:09:31.242308 : Epoch  7, Batch    233, Loss  0.769741, Average Loss  0.771739, Time  0.252411
2021-09-23 00:09:31.958183 : Epoch  4, Batch    210, Loss  0.892802, Average Loss  0.870668, Time  0.414723
2021-09-23 00:09:32.472990 : Epoch  7, Batch     84, Loss  0.767653, Average Loss  0.770610, Time  0.254562
2021-09-23 00:09:33.145977 : Epoch  7, Batch    234, Loss  0.763948, Average Loss  0.771677, Time  0.256850
2021-09-23 00:09:34.363962 : Epoch  7, Batch     85, Loss  0.768470, Average Loss  0.770533, Time  0.251326
2021-09-23 00:09:35.044928 : Epoch  7, Batch    235, Loss  0.774387, Average Loss  0.771693, Time  0.250729
2021-09-23 00:09:36.273848 : Epoch  7, Batch     86, Loss  0.781745, Average Loss  0.770570, Time  0.253287
2021-09-23 00:09:36.908997 : Epoch  4, Batch    211, Loss  0.870933, Average Loss  0.870769, Time  0.412807
2021-09-23 00:09:36.923928 : Epoch  7, Batch    236, Loss  0.759223, Average Loss  0.771626, Time  0.253341
2021-09-23 00:09:38.171197 : Epoch  7, Batch     87, Loss  0.760948, Average Loss  0.770505, Time  0.257927
2021-09-23 00:09:38.891942 : Epoch  7, Batch    237, Loss  0.769251, Average Loss  0.771639, Time  0.254171
2021-09-23 00:09:40.071962 : Epoch  7, Batch     88, Loss  0.759100, Average Loss  0.770482, Time  0.250998
2021-09-23 00:09:40.794729 : Epoch  7, Batch    238, Loss  0.770347, Average Loss  0.771581, Time  0.250741
2021-09-23 00:09:41.939746 : Epoch  4, Batch    212, Loss  0.869186, Average Loss  0.870792, Time  0.414194
2021-09-23 00:09:41.980329 : Epoch  7, Batch     89, Loss  0.764765, Average Loss  0.770474, Time  0.256922
2021-09-23 00:09:42.701834 : Epoch  7, Batch    239, Loss  0.768342, Average Loss  0.771520, Time  0.254161
2021-09-23 00:09:43.872046 : Epoch  7, Batch     90, Loss  0.763142, Average Loss  0.770403, Time  0.251449
2021-09-23 00:09:44.586282 : Epoch  7, Batch    240, Loss  0.765074, Average Loss  0.771480, Time  0.253130
2021-09-23 00:09:45.791699 : Epoch  7, Batch     91, Loss  0.773404, Average Loss  0.770454, Time  0.256320
2021-09-23 00:09:46.470306 : Epoch  7, Batch    241, Loss  0.775892, Average Loss  0.771485, Time  0.249105
2021-09-23 00:09:46.906891 : Epoch  4, Batch    213, Loss  0.884131, Average Loss  0.870843, Time  0.414186
2021-09-23 00:09:47.669999 : Epoch  7, Batch     92, Loss  0.772888, Average Loss  0.770484, Time  0.253614
2021-09-23 00:09:48.370975 : Epoch  7, Batch    242, Loss  0.764470, Average Loss  0.771429, Time  0.254001
2021-09-23 00:09:49.571097 : Epoch  7, Batch     93, Loss  0.765976, Average Loss  0.770469, Time  0.258959
2021-09-23 00:09:50.266394 : Epoch  7, Batch    243, Loss  0.776163, Average Loss  0.771458, Time  0.248762
2021-09-23 00:09:51.471060 : Epoch  7, Batch     94, Loss  0.769400, Average Loss  0.770490, Time  0.252361
2021-09-23 00:09:51.880107 : Epoch  4, Batch    214, Loss  0.879530, Average Loss  0.870872, Time  0.413676
2021-09-23 00:09:52.160260 : Epoch  7, Batch    244, Loss  0.772409, Average Loss  0.771466, Time  0.249525
2021-09-23 00:09:53.371051 : Epoch  7, Batch     95, Loss  0.775757, Average Loss  0.770510, Time  0.252833
2021-09-23 00:09:54.031846 : Epoch  7, Batch    245, Loss  0.760736, Average Loss  0.771425, Time  0.250882
2021-09-23 00:09:55.321887 : Epoch  7, Batch     96, Loss  0.780677, Average Loss  0.770623, Time  0.253234
2021-09-23 00:09:55.908632 : Epoch  7, Batch    246, Loss  0.779734, Average Loss  0.771493, Time  0.248519
2021-09-23 00:09:56.839509 : Epoch  4, Batch    215, Loss  0.868423, Average Loss  0.870807, Time  0.414266
2021-09-23 00:09:57.231286 : Epoch  7, Batch     97, Loss  0.766796, Average Loss  0.770587, Time  0.256073
2021-09-23 00:09:57.832013 : Epoch  7, Batch    247, Loss  0.773944, Average Loss  0.771489, Time  0.267788
2021-09-23 00:09:59.149865 : Epoch  7, Batch     98, Loss  0.766219, Average Loss  0.770549, Time  0.260880
2021-09-23 00:09:59.733247 : Epoch  7, Batch    248, Loss  0.771407, Average Loss  0.771488, Time  0.252655
2021-09-23 00:10:01.050820 : Epoch  7, Batch     99, Loss  0.768061, Average Loss  0.770511, Time  0.253882
2021-09-23 00:10:02.959938 : Epoch  7, Batch    100, Loss  0.771278, Average Loss  0.770535, Time  0.251505
2021-09-23 00:10:03.415943 : Epoch  7, Batch    249, Loss  0.781554, Average Loss  0.771592, Time  0.269140
2021-09-23 00:10:04.888286 : Epoch  7, Batch    101, Loss  0.760923, Average Loss  0.770515, Time  0.251501
2021-09-23 00:10:05.308610 : Epoch  7, Batch    250, Loss  0.770559, Average Loss  0.771545, Time  0.248236
2021-09-23 00:10:06.794341 : Epoch  7, Batch    102, Loss  0.777666, Average Loss  0.770533, Time  0.253709
2021-09-23 00:10:07.178038 : Epoch  7, Batch    251, Loss  0.767070, Average Loss  0.771455, Time  0.248441
2021-09-23 00:10:08.714740 : Epoch  7, Batch    103, Loss  0.774284, Average Loss  0.770545, Time  0.254755
2021-09-23 00:10:09.072155 : Epoch  7, Batch    252, Loss  0.769068, Average Loss  0.771405, Time  0.252540
2021-09-23 00:10:10.588757 : Epoch  4, Batch    216, Loss  0.865079, Average Loss  0.870777, Time  0.461910
2021-09-23 00:10:10.644717 : Epoch  7, Batch    104, Loss  0.765497, Average Loss  0.770541, Time  0.251420
2021-09-23 00:10:10.941011 : Epoch  7, Batch    253, Loss  0.779699, Average Loss  0.771469, Time  0.248423
2021-09-23 00:10:12.548446 : Epoch  7, Batch    105, Loss  0.785672, Average Loss  0.770671, Time  0.251360
2021-09-23 00:10:12.822384 : Epoch  7, Batch    254, Loss  0.775387, Average Loss  0.771526, Time  0.250682
2021-09-23 00:10:14.438258 : Epoch  7, Batch    106, Loss  0.765562, Average Loss  0.770650, Time  0.255586
2021-09-23 00:10:14.696862 : Epoch  7, Batch    255, Loss  0.773295, Average Loss  0.771496, Time  0.249523
2021-09-23 00:10:16.329925 : Epoch  7, Batch    107, Loss  0.769670, Average Loss  0.770636, Time  0.262026
2021-09-23 00:10:16.571253 : Epoch  7, Batch    256, Loss  0.774139, Average Loss  0.771222, Time  0.252536
2021-09-23 00:10:18.251313 : Epoch  7, Batch    108, Loss  0.769105, Average Loss  0.770595, Time  0.252814
2021-09-23 00:10:18.484709 : Epoch  7, Batch    257, Loss  0.771557, Average Loss  0.771270, Time  0.263942
2021-09-23 00:10:20.157463 : Epoch  7, Batch    109, Loss  0.781833, Average Loss  0.770661, Time  0.261949
2021-09-23 00:10:20.386732 : Epoch  7, Batch    258, Loss  0.783328, Average Loss  0.771318, Time  0.256616
2021-09-23 00:10:22.160336 : Epoch  7, Batch    110, Loss  0.764182, Average Loss  0.770607, Time  0.331712
2021-09-23 00:10:22.300361 : Epoch  7, Batch    259, Loss  0.774782, Average Loss  0.771305, Time  0.303329
2021-09-23 00:10:24.248590 : Epoch  7, Batch    111, Loss  0.768919, Average Loss  0.770576, Time  0.445333
2021-09-23 00:10:24.316328 : Epoch  7, Batch    260, Loss  0.765788, Average Loss  0.771270, Time  0.408981
2021-09-23 00:10:26.403398 : Epoch  7, Batch    112, Loss  0.763923, Average Loss  0.770533, Time  0.508985
2021-09-23 00:10:26.465426 : Epoch  7, Batch    261, Loss  0.772225, Average Loss  0.771282, Time  0.482404
2021-09-23 00:10:28.532707 : Epoch  7, Batch    113, Loss  0.770519, Average Loss  0.770528, Time  0.495414
2021-09-23 00:10:28.562848 : Epoch  7, Batch    262, Loss  0.780768, Average Loss  0.771248, Time  0.460606
2021-09-23 00:10:30.687277 : Epoch  7, Batch    114, Loss  0.755060, Average Loss  0.770441, Time  0.518717
2021-09-23 00:10:30.721936 : Epoch  7, Batch    263, Loss  0.772404, Average Loss  0.771234, Time  0.508499
2021-09-23 00:10:32.851438 : Epoch  7, Batch    115, Loss  0.776425, Average Loss  0.770390, Time  0.515532
2021-09-23 00:10:32.851621 : Epoch  7, Batch    264, Loss  0.772660, Average Loss  0.771224, Time  0.496789
2021-09-23 00:10:35.028740 : Epoch  7, Batch    265, Loss  0.774729, Average Loss  0.771242, Time  0.515926
2021-09-23 00:10:35.081708 : Epoch  7, Batch    116, Loss  0.777676, Average Loss  0.770422, Time  0.504844
2021-09-23 00:10:37.178239 : Epoch  7, Batch    266, Loss  0.766132, Average Loss  0.771192, Time  0.498237
2021-09-23 00:10:37.215262 : Epoch  7, Batch    117, Loss  0.771579, Average Loss  0.770408, Time  0.469037
2021-09-23 00:10:39.336477 : Epoch  7, Batch    267, Loss  0.770880, Average Loss  0.771183, Time  0.510845
2021-09-23 00:10:39.372519 : Epoch  7, Batch    118, Loss  0.757991, Average Loss  0.770335, Time  0.493411
2021-09-23 00:10:41.455301 : Epoch  7, Batch    268, Loss  0.762252, Average Loss  0.771161, Time  0.501558
2021-09-23 00:10:41.495715 : Epoch  7, Batch    119, Loss  0.769708, Average Loss  0.770347, Time  0.472657
2021-09-23 00:10:43.557799 : Epoch  7, Batch    269, Loss  0.766040, Average Loss  0.771098, Time  0.484446
2021-09-23 00:10:43.605949 : Epoch  7, Batch    120, Loss  0.765034, Average Loss  0.770300, Time  0.452529
2021-09-23 00:10:45.643224 : Epoch  7, Batch    270, Loss  0.776695, Average Loss  0.771136, Time  0.469691
2021-09-23 00:10:45.694918 : Epoch  7, Batch    121, Loss  0.768564, Average Loss  0.770351, Time  0.442306
2021-09-23 00:10:47.725748 : Epoch  7, Batch    271, Loss  0.767805, Average Loss  0.771077, Time  0.464788
2021-09-23 00:10:47.780408 : Epoch  7, Batch    122, Loss  0.773971, Average Loss  0.770330, Time  0.436036
2021-09-23 00:10:49.836799 : Epoch  7, Batch    272, Loss  0.771421, Average Loss  0.771061, Time  0.469410
2021-09-23 00:10:49.887809 : Epoch  7, Batch    123, Loss  0.777528, Average Loss  0.770377, Time  0.441301
2021-09-23 00:10:51.973960 : Epoch  7, Batch    273, Loss  0.772672, Average Loss  0.771082, Time  0.494536
2021-09-23 00:10:52.046249 : Epoch  7, Batch    124, Loss  0.775789, Average Loss  0.770426, Time  0.480461
2021-09-23 00:10:54.138933 : Epoch  7, Batch    274, Loss  0.770831, Average Loss  0.771024, Time  0.499454
2021-09-23 00:10:54.175975 : Epoch  7, Batch    125, Loss  0.765904, Average Loss  0.770402, Time  0.466622
2021-09-23 00:10:56.247053 : Epoch  7, Batch    275, Loss  0.776425, Average Loss  0.771007, Time  0.491485
2021-09-23 00:10:56.283811 : Epoch  7, Batch    126, Loss  0.780836, Average Loss  0.770476, Time  0.463971
2021-09-23 00:10:58.381605 : Epoch  7, Batch    276, Loss  0.771823, Average Loss  0.770928, Time  0.503359
2021-09-23 00:10:58.414572 : Epoch  7, Batch    127, Loss  0.768437, Average Loss  0.770429, Time  0.452858
2021-09-23 00:11:00.496921 : Epoch  7, Batch    277, Loss  0.777457, Average Loss  0.771028, Time  0.492464
2021-09-23 00:11:00.528279 : Epoch  7, Batch    128, Loss  0.767362, Average Loss  0.770398, Time  0.456014
2021-09-23 00:11:02.417044 : Epoch  7, Batch    129, Loss  0.770208, Average Loss  0.770393, Time  0.253691
2021-09-23 00:11:04.254962 : Epoch  7, Batch    278, Loss  0.781372, Average Loss  0.771128, Time  0.350037
2021-09-23 00:11:04.395120 : Epoch  7, Batch    130, Loss  0.781173, Average Loss  0.770509, Time  0.318080
2021-09-23 00:11:06.295873 : Epoch  7, Batch    131, Loss  0.764385, Average Loss  0.770485, Time  0.251393
2021-09-23 00:11:08.204970 : Epoch  7, Batch    132, Loss  0.769828, Average Loss  0.770443, Time  0.252738
2021-09-23 00:11:10.107199 : Epoch  7, Batch    133, Loss  0.763196, Average Loss  0.770437, Time  0.251702
2021-09-23 00:11:12.005558 : Epoch  7, Batch    134, Loss  0.775900, Average Loss  0.770485, Time  0.250964
2021-09-23 00:11:13.900034 : Epoch  7, Batch    135, Loss  0.770532, Average Loss  0.770440, Time  0.253343
2021-09-23 00:11:15.805921 : Epoch  7, Batch    136, Loss  0.765594, Average Loss  0.770426, Time  0.251719
2021-09-23 00:11:17.796913 : Epoch  7, Batch    137, Loss  0.758636, Average Loss  0.770361, Time  0.339642
2021-09-23 00:11:19.687329 : Epoch  7, Batch    138, Loss  0.773238, Average Loss  0.770372, Time  0.253064
2021-09-23 00:11:21.644443 : Epoch  7, Batch    139, Loss  0.781585, Average Loss  0.770394, Time  0.260450
2021-09-23 00:11:23.557348 : Epoch  7, Batch    140, Loss  0.761240, Average Loss  0.770399, Time  0.254374
2021-09-23 00:11:25.466999 : Epoch  7, Batch    141, Loss  0.778721, Average Loss  0.770454, Time  0.266647
2021-09-23 00:11:27.369248 : Epoch  7, Batch    142, Loss  0.774518, Average Loss  0.770456, Time  0.251864
2021-09-23 00:11:29.334772 : Epoch  7, Batch    143, Loss  0.762176, Average Loss  0.770441, Time  0.324316
2021-09-23 00:11:31.214578 : Epoch  7, Batch    144, Loss  0.781124, Average Loss  0.770462, Time  0.252390
2021-09-23 00:11:33.146362 : Epoch  7, Batch    145, Loss  0.771513, Average Loss  0.770475, Time  0.252402
2021-09-23 00:11:35.053177 : Epoch  7, Batch    146, Loss  0.778997, Average Loss  0.770527, Time  0.252876
2021-09-23 00:11:36.950296 : Epoch  7, Batch    147, Loss  0.765985, Average Loss  0.770471, Time  0.262619
2021-09-23 00:11:38.848555 : Epoch  7, Batch    148, Loss  0.760721, Average Loss  0.770402, Time  0.253808
2021-09-23 00:11:42.568728 : Epoch  7, Batch    149, Loss  0.767698, Average Loss  0.770376, Time  0.325752
2021-09-23 00:11:44.472254 : Epoch  7, Batch    150, Loss  0.766576, Average Loss  0.770350, Time  0.251328
2021-09-23 00:11:46.365325 : Epoch  7, Batch    151, Loss  0.768071, Average Loss  0.770289, Time  0.251609
2021-09-23 00:11:48.263932 : Epoch  7, Batch    152, Loss  0.773834, Average Loss  0.770274, Time  0.259245
2021-09-23 00:11:50.186948 : Epoch  7, Batch    153, Loss  0.784267, Average Loss  0.770356, Time  0.263377
2021-09-23 00:11:52.110974 : Epoch  7, Batch    154, Loss  0.765488, Average Loss  0.770377, Time  0.253781
2021-09-23 00:11:54.040294 : Epoch  7, Batch    155, Loss  0.774159, Average Loss  0.770402, Time  0.255733
2021-09-23 00:11:55.976123 : Epoch  7, Batch    156, Loss  0.757344, Average Loss  0.770327, Time  0.275257
2021-09-23 00:11:57.892926 : Epoch  7, Batch    157, Loss  0.773260, Average Loss  0.770302, Time  0.260426
2021-09-23 00:11:59.775311 : Epoch  7, Batch    158, Loss  0.769771, Average Loss  0.770370, Time  0.252487
2021-09-23 00:12:01.680656 : Epoch  7, Batch    159, Loss  0.764398, Average Loss  0.770329, Time  0.253919
2021-09-23 00:12:03.569294 : Epoch  7, Batch    160, Loss  0.777719, Average Loss  0.770363, Time  0.251715
2021-09-23 00:12:05.464327 : Epoch  7, Batch    161, Loss  0.767981, Average Loss  0.770376, Time  0.254077
2021-09-23 00:12:07.447295 : Epoch  7, Batch    162, Loss  0.769041, Average Loss  0.770378, Time  0.331272
2021-09-23 00:12:09.347752 : Epoch  7, Batch    163, Loss  0.767381, Average Loss  0.770401, Time  0.253959
2021-09-23 00:12:11.273400 : Epoch  7, Batch    164, Loss  0.774692, Average Loss  0.770367, Time  0.266320
2021-09-23 00:12:13.201757 : Epoch  7, Batch    165, Loss  0.781739, Average Loss  0.770378, Time  0.253450
2021-09-23 00:12:14.527679 : CheckPoint: Validation Loss  0.00031652, Best Loss  0.00030606
2021-09-23 00:12:15.127823 : Epoch  7, Batch    166, Loss  0.767722, Average Loss  0.770388, Time  0.251028
2021-09-23 00:12:16.395677 : Epoch  7, Batch    279, Loss  0.768294, Average Loss  0.771083, Time  0.248527
2021-09-23 00:12:17.030506 : Epoch  7, Batch    167, Loss  0.765916, Average Loss  0.770363, Time  0.253890
2021-09-23 00:12:18.269879 : Epoch  7, Batch    280, Loss  0.762291, Average Loss  0.771008, Time  0.250670
2021-09-23 00:12:18.938333 : Epoch  7, Batch    168, Loss  0.777893, Average Loss  0.770334, Time  0.259374
2021-09-23 00:12:20.143885 : Epoch  7, Batch    281, Loss  0.757634, Average Loss  0.770930, Time  0.252769
2021-09-23 00:12:20.838513 : Epoch  7, Batch    169, Loss  0.769587, Average Loss  0.770334, Time  0.251643
2021-09-23 00:12:22.019782 : Epoch  7, Batch    282, Loss  0.769139, Average Loss  0.770974, Time  0.249759
2021-09-23 00:12:22.746870 : Epoch  7, Batch    170, Loss  0.768839, Average Loss  0.770328, Time  0.254584
2021-09-23 00:12:23.906100 : Epoch  7, Batch    283, Loss  0.776662, Average Loss  0.770951, Time  0.249146
2021-09-23 00:12:24.647674 : Epoch  7, Batch    171, Loss  0.773424, Average Loss  0.770362, Time  0.256702
2021-09-23 00:12:25.793354 : Epoch  7, Batch    284, Loss  0.774333, Average Loss  0.770976, Time  0.248863
2021-09-23 00:12:26.548340 : Epoch  7, Batch    172, Loss  0.778468, Average Loss  0.770326, Time  0.254506
2021-09-23 00:12:27.649922 : Epoch  7, Batch    285, Loss  0.766766, Average Loss  0.770963, Time  0.250616
2021-09-23 00:12:28.504456 : Epoch  7, Batch    173, Loss  0.774319, Average Loss  0.770385, Time  0.254703
2021-09-23 00:12:29.541174 : Epoch  7, Batch    286, Loss  0.775561, Average Loss  0.770906, Time  0.254904
2021-09-23 00:12:30.403911 : Epoch  7, Batch    174, Loss  0.767884, Average Loss  0.770342, Time  0.252166
2021-09-23 00:12:31.408077 : Epoch  7, Batch    287, Loss  0.773436, Average Loss  0.770975, Time  0.254766
2021-09-23 00:12:32.369291 : Epoch  7, Batch    175, Loss  0.777606, Average Loss  0.770304, Time  0.252638
2021-09-23 00:12:33.293263 : Epoch  7, Batch    288, Loss  0.770155, Average Loss  0.770962, Time  0.248574
2021-09-23 00:12:34.273054 : Epoch  7, Batch    176, Loss  0.765985, Average Loss  0.770285, Time  0.251975
2021-09-23 00:12:35.188874 : Epoch  7, Batch    289, Loss  0.759607, Average Loss  0.770952, Time  0.249877
2021-09-23 00:12:36.171117 : Epoch  7, Batch    177, Loss  0.770526, Average Loss  0.770243, Time  0.256628
2021-09-23 00:12:37.065345 : Epoch  7, Batch    290, Loss  0.777127, Average Loss  0.771003, Time  0.255000
2021-09-23 00:12:38.079235 : Epoch  7, Batch    178, Loss  0.771419, Average Loss  0.770251, Time  0.251782
2021-09-23 00:12:38.944438 : Epoch  7, Batch    291, Loss  0.760093, Average Loss  0.771007, Time  0.257388
2021-09-23 00:12:40.850386 : Epoch  7, Batch    292, Loss  0.760420, Average Loss  0.770999, Time  0.250784
2021-09-23 00:12:42.721019 : Epoch  7, Batch    293, Loss  0.775178, Average Loss  0.770965, Time  0.247782
2021-09-23 00:12:44.579917 : Epoch  7, Batch    294, Loss  0.768949, Average Loss  0.770905, Time  0.250288
2021-09-23 00:12:46.447377 : Epoch  7, Batch    295, Loss  0.773942, Average Loss  0.770890, Time  0.250159
2021-09-23 00:12:48.377140 : Epoch  7, Batch    296, Loss  0.768343, Average Loss  0.770891, Time  0.327325
2021-09-23 00:12:50.256252 : Epoch  7, Batch    297, Loss  0.765907, Average Loss  0.770895, Time  0.249715
2021-09-23 00:12:52.117107 : Epoch  7, Batch    298, Loss  0.776764, Average Loss  0.770927, Time  0.249923
2021-09-23 00:12:53.987366 : Epoch  7, Batch    299, Loss  0.773245, Average Loss  0.770991, Time  0.252094
2021-09-23 00:12:55.880048 : Epoch  7, Batch    300, Loss  0.770174, Average Loss  0.771014, Time  0.258749
2021-09-23 00:12:57.747018 : Epoch  7, Batch    301, Loss  0.773003, Average Loss  0.771015, Time  0.250463
2021-09-23 00:12:59.610218 : Epoch  7, Batch    302, Loss  0.777870, Average Loss  0.771055, Time  0.250545
2021-09-23 00:13:01.499516 : Epoch  7, Batch    303, Loss  0.772150, Average Loss  0.771115, Time  0.248494
2021-09-23 00:13:03.469985 : Epoch  7, Batch    304, Loss  0.776827, Average Loss  0.771124, Time  0.326114
2021-09-23 00:13:05.355853 : Epoch  7, Batch    305, Loss  0.764459, Average Loss  0.771069, Time  0.249246
2021-09-23 00:13:07.230843 : Epoch  7, Batch    306, Loss  0.764673, Average Loss  0.771019, Time  0.248487
2021-09-23 00:13:09.109918 : Epoch  7, Batch    307, Loss  0.777190, Average Loss  0.771052, Time  0.250413
2021-09-23 00:13:11.026527 : Epoch  7, Batch    308, Loss  0.770666, Average Loss  0.771042, Time  0.248778
2021-09-23 00:13:12.900420 : Epoch  7, Batch    309, Loss  0.777810, Average Loss  0.771057, Time  0.248178
2021-09-23 00:13:14.765949 : Epoch  7, Batch    310, Loss  0.768628, Average Loss  0.771044, Time  0.250770
2021-09-23 00:13:16.733653 : Epoch  7, Batch    311, Loss  0.757703, Average Loss  0.771009, Time  0.323840
2021-09-23 00:13:18.606333 : Epoch  7, Batch    312, Loss  0.773045, Average Loss  0.771026, Time  0.253405
2021-09-23 00:13:20.489367 : Epoch  7, Batch    313, Loss  0.785107, Average Loss  0.771071, Time  0.253403
2021-09-23 00:13:22.358790 : Epoch  7, Batch    314, Loss  0.771981, Average Loss  0.771044, Time  0.250404
2021-09-23 00:13:24.239101 : Epoch  7, Batch    315, Loss  0.770816, Average Loss  0.771004, Time  0.248126
2021-09-23 00:13:26.118354 : Epoch  7, Batch    316, Loss  0.785734, Average Loss  0.771089, Time  0.251416
2021-09-23 00:13:27.981926 : Epoch  7, Batch    317, Loss  0.779314, Average Loss  0.771112, Time  0.252822
2021-09-23 00:13:29.870820 : Epoch  7, Batch    318, Loss  0.769526, Average Loss  0.771090, Time  0.251842
2021-09-23 00:13:31.830918 : Epoch  7, Batch    319, Loss  0.773760, Average Loss  0.771092, Time  0.325513
2021-09-23 00:13:33.705930 : Epoch  7, Batch    320, Loss  0.773479, Average Loss  0.771108, Time  0.252446
2021-09-23 00:13:35.594266 : Epoch  7, Batch    321, Loss  0.767821, Average Loss  0.771102, Time  0.249817
2021-09-23 00:13:37.474185 : Epoch  7, Batch    322, Loss  0.771637, Average Loss  0.771118, Time  0.252691
2021-09-23 00:13:39.366330 : Epoch  7, Batch    323, Loss  0.780555, Average Loss  0.771170, Time  0.257751
2021-09-23 00:13:41.235531 : Epoch  7, Batch    324, Loss  0.775703, Average Loss  0.771255, Time  0.248713
2021-09-23 00:13:43.128201 : Epoch  7, Batch    325, Loss  0.778581, Average Loss  0.771369, Time  0.248718
2021-09-23 00:13:45.078294 : Epoch  7, Batch    326, Loss  0.765866, Average Loss  0.771346, Time  0.323868
2021-09-23 00:13:46.952619 : Epoch  7, Batch    327, Loss  0.782173, Average Loss  0.771392, Time  0.249515
2021-09-23 00:13:48.951332 : Epoch  7, Batch    328, Loss  0.778466, Average Loss  0.771403, Time  0.249490
2021-09-23 00:13:48.990775 : CheckPoint: Validation Loss  0.00032556, Best Loss  0.00030514
2021-09-23 00:13:51.022176 : Epoch  7, Batch    329, Loss  0.763211, Average Loss  0.771360, Time  0.458466
2021-09-23 00:13:51.085039 : Epoch  7, Batch    179, Loss  0.772459, Average Loss  0.770291, Time  0.422277
2021-09-23 00:13:53.110274 : Epoch  7, Batch    330, Loss  0.763786, Average Loss  0.771362, Time  0.467221
2021-09-23 00:13:53.161270 : Epoch  7, Batch    180, Loss  0.770368, Average Loss  0.770278, Time  0.435710
2021-09-23 00:13:55.194253 : Epoch  7, Batch    331, Loss  0.766957, Average Loss  0.771359, Time  0.462340
2021-09-23 00:13:55.253875 : Epoch  7, Batch    181, Loss  0.773138, Average Loss  0.770318, Time  0.430085
2021-09-23 00:13:57.289755 : Epoch  7, Batch    332, Loss  0.780353, Average Loss  0.771425, Time  0.479339
2021-09-23 00:13:57.345160 : Epoch  7, Batch    182, Loss  0.769295, Average Loss  0.770318, Time  0.442778
2021-09-23 00:13:59.376913 : Epoch  7, Batch    333, Loss  0.770965, Average Loss  0.771410, Time  0.460346
2021-09-23 00:13:59.434075 : Epoch  7, Batch    183, Loss  0.781110, Average Loss  0.770353, Time  0.427951
2021-09-23 00:14:01.520277 : Epoch  7, Batch    334, Loss  0.767400, Average Loss  0.771417, Time  0.501912
2021-09-23 00:14:01.578940 : Epoch  7, Batch    184, Loss  0.761167, Average Loss  0.770281, Time  0.477676
2021-09-23 00:14:03.655695 : Epoch  7, Batch    335, Loss  0.775429, Average Loss  0.771465, Time  0.493633
2021-09-23 00:14:03.684311 : Epoch  7, Batch    185, Loss  0.763261, Average Loss  0.770198, Time  0.467185
2021-09-23 00:14:05.796555 : Epoch  7, Batch    336, Loss  0.755184, Average Loss  0.771381, Time  0.506360
2021-09-23 00:14:05.830273 : Epoch  7, Batch    186, Loss  0.771019, Average Loss  0.770221, Time  0.489790
2021-09-23 00:14:05.864978 : CheckPoint: Validation Loss  0.00015017, Best Loss  0.00014923
2021-09-23 00:14:07.906869 : Epoch  7, Batch    337, Loss  0.773663, Average Loss  0.771415, Time  0.493487
2021-09-23 00:14:07.941579 : Epoch  7, Batch    187, Loss  0.767052, Average Loss  0.770282, Time  0.458596
2021-09-23 00:14:10.029708 : Epoch  7, Batch    338, Loss  0.760993, Average Loss  0.771408, Time  0.495083
2021-09-23 00:14:10.062968 : Epoch  7, Batch    188, Loss  0.772456, Average Loss  0.770283, Time  0.476782
2021-09-23 00:14:10.832955 : Epoch  4, Batch    217, Loss  0.882685, Average Loss  0.870811, Time  0.430323
2021-09-23 00:14:12.158342 : Epoch  7, Batch    339, Loss  0.769627, Average Loss  0.771419, Time  0.500965
2021-09-23 00:14:12.186065 : Epoch  7, Batch    189, Loss  0.763707, Average Loss  0.770212, Time  0.474725
2021-09-23 00:14:14.262717 : Epoch  7, Batch    340, Loss  0.767536, Average Loss  0.771369, Time  0.474274
2021-09-23 00:14:14.318320 : Epoch  7, Batch    190, Loss  0.755048, Average Loss  0.770139, Time  0.454385
2021-09-23 00:14:15.797373 : Epoch  4, Batch    218, Loss  0.865588, Average Loss  0.870767, Time  0.413120
2021-09-23 00:14:16.386205 : Epoch  7, Batch    341, Loss  0.770705, Average Loss  0.771366, Time  0.492227
2021-09-23 00:14:16.416344 : Epoch  7, Batch    191, Loss  0.770774, Average Loss  0.770141, Time  0.451880
2021-09-23 00:14:18.476165 : Epoch  7, Batch    342, Loss  0.758142, Average Loss  0.771269, Time  0.478575
2021-09-23 00:14:18.522008 : Epoch  7, Batch    192, Loss  0.772886, Average Loss  0.770140, Time  0.448959
2021-09-23 00:14:20.564091 : Epoch  7, Batch    343, Loss  0.786609, Average Loss  0.771406, Time  0.477361
2021-09-23 00:14:20.603991 : Epoch  7, Batch    193, Loss  0.767107, Average Loss  0.770114, Time  0.445987
2021-09-23 00:14:20.757429 : Epoch  4, Batch    219, Loss  0.865514, Average Loss  0.870735, Time  0.413248
2021-09-23 00:14:22.655764 : Epoch  7, Batch    344, Loss  0.767868, Average Loss  0.771425, Time  0.474629
2021-09-23 00:14:22.700032 : Epoch  7, Batch    194, Loss  0.769479, Average Loss  0.770092, Time  0.444696
2021-09-23 00:14:24.768065 : Epoch  7, Batch    345, Loss  0.774621, Average Loss  0.771475, Time  0.490724
2021-09-23 00:14:24.807518 : Epoch  7, Batch    195, Loss  0.768362, Average Loss  0.770102, Time  0.472004
2021-09-23 00:14:25.704762 : Epoch  4, Batch    220, Loss  0.869705, Average Loss  0.870729, Time  0.413222
2021-09-23 00:14:26.875146 : Epoch  7, Batch    346, Loss  0.770288, Average Loss  0.771482, Time  0.488636
2021-09-23 00:14:26.907099 : Epoch  7, Batch    196, Loss  0.766935, Average Loss  0.770066, Time  0.453004
2021-09-23 00:14:28.958521 : Epoch  7, Batch    347, Loss  0.784225, Average Loss  0.771527, Time  0.472898
2021-09-23 00:14:29.011899 : Epoch  7, Batch    197, Loss  0.776511, Average Loss  0.770165, Time  0.440103
2021-09-23 00:14:30.653766 : Epoch  4, Batch    221, Loss  0.860044, Average Loss  0.870738, Time  0.413192
2021-09-23 00:14:31.061544 : Epoch  7, Batch    348, Loss  0.774436, Average Loss  0.771566, Time  0.470008
2021-09-23 00:14:31.114781 : Epoch  7, Batch    198, Loss  0.783198, Average Loss  0.770174, Time  0.442254
2021-09-23 00:14:33.018291 : Epoch  7, Batch    199, Loss  0.769255, Average Loss  0.770172, Time  0.255963
2021-09-23 00:14:34.732258 : Epoch  7, Batch    349, Loss  0.777963, Average Loss  0.771681, Time  0.260420
2021-09-23 00:14:34.942761 : Epoch  7, Batch    200, Loss  0.770948, Average Loss  0.770175, Time  0.267808
2021-09-23 00:14:35.625761 : Epoch  4, Batch    222, Loss  0.873403, Average Loss  0.870711, Time  0.413273
2021-09-23 00:14:36.599671 : Epoch  7, Batch    350, Loss  0.754402, Average Loss  0.771571, Time  0.251276
2021-09-23 00:14:36.843379 : Epoch  7, Batch    201, Loss  0.771928, Average Loss  0.770201, Time  0.255609
2021-09-23 00:14:38.463689 : Epoch  7, Batch    351, Loss  0.774467, Average Loss  0.771617, Time  0.249313
2021-09-23 00:14:38.739317 : Epoch  7, Batch    202, Loss  0.769139, Average Loss  0.770214, Time  0.251684
2021-09-23 00:14:40.351896 : Epoch  7, Batch    352, Loss  0.766563, Average Loss  0.771590, Time  0.259526
2021-09-23 00:14:40.609993 : Epoch  4, Batch    223, Loss  0.879961, Average Loss  0.870765, Time  0.415059
2021-09-23 00:14:40.614872 : Epoch  7, Batch    203, Loss  0.772550, Average Loss  0.770205, Time  0.259533
2021-09-23 00:14:42.210497 : Epoch  7, Batch    353, Loss  0.758694, Average Loss  0.771516, Time  0.249035
2021-09-23 00:14:42.519726 : Epoch  7, Batch    204, Loss  0.766588, Average Loss  0.770171, Time  0.254534
2021-09-23 00:14:44.083381 : Epoch  7, Batch    354, Loss  0.768874, Average Loss  0.771492, Time  0.251902
2021-09-23 00:14:44.408891 : Epoch  7, Batch    205, Loss  0.765252, Average Loss  0.770135, Time  0.254955
2021-09-23 00:14:45.562816 : Epoch  4, Batch    224, Loss  0.874575, Average Loss  0.870764, Time  0.414449
2021-09-23 00:14:45.961861 : Epoch  7, Batch    355, Loss  0.775985, Average Loss  0.771513, Time  0.253898
2021-09-23 00:14:46.314171 : Epoch  7, Batch    206, Loss  0.772145, Average Loss  0.770197, Time  0.254941
2021-09-23 00:14:47.836724 : Epoch  7, Batch    356, Loss  0.777564, Average Loss  0.771538, Time  0.247794
2021-09-23 00:14:48.215768 : Epoch  7, Batch    207, Loss  0.781291, Average Loss  0.770193, Time  0.256520
2021-09-23 00:14:49.702547 : Epoch  7, Batch    357, Loss  0.757669, Average Loss  0.771481, Time  0.250748
2021-09-23 00:14:50.101174 : Epoch  7, Batch    208, Loss  0.771051, Average Loss  0.770198, Time  0.251574
2021-09-23 00:14:50.516921 : Epoch  4, Batch    225, Loss  0.861958, Average Loss  0.870783, Time  0.412962
2021-09-23 00:14:51.584230 : Epoch  7, Batch    358, Loss  0.763963, Average Loss  0.771487, Time  0.249463
2021-09-23 00:14:51.998752 : Epoch  7, Batch    209, Loss  0.768173, Average Loss  0.770199, Time  0.252509
2021-09-23 00:14:53.469476 : Epoch  7, Batch    359, Loss  0.760508, Average Loss  0.771496, Time  0.250443
2021-09-23 00:14:53.872628 : Epoch  7, Batch    210, Loss  0.773376, Average Loss  0.770207, Time  0.254021
2021-09-23 00:14:55.335743 : Epoch  7, Batch    360, Loss  0.772014, Average Loss  0.771458, Time  0.250574
2021-09-23 00:14:55.513766 : Epoch  4, Batch    226, Loss  0.870147, Average Loss  0.870834, Time  0.452677
2021-09-23 00:14:55.780670 : Epoch  7, Batch    211, Loss  0.762037, Average Loss  0.770213, Time  0.254505
2021-09-23 00:14:57.214268 : Epoch  7, Batch    361, Loss  0.772896, Average Loss  0.771486, Time  0.249292
2021-09-23 00:14:57.672465 : Epoch  7, Batch    212, Loss  0.778773, Average Loss  0.770231, Time  0.253854
2021-09-23 00:14:59.061200 : Epoch  7, Batch    362, Loss  0.753995, Average Loss  0.771375, Time  0.248675
2021-09-23 00:14:59.567262 : Epoch  7, Batch    213, Loss  0.765103, Average Loss  0.770190, Time  0.255350
2021-09-23 00:15:00.489720 : Epoch  4, Batch    227, Loss  0.873983, Average Loss  0.870851, Time  0.413163
2021-09-23 00:15:00.937716 : Epoch  7, Batch    363, Loss  0.770214, Average Loss  0.771387, Time  0.248855
2021-09-23 00:15:01.440332 : Epoch  7, Batch    214, Loss  0.775295, Average Loss  0.770224, Time  0.251677
2021-09-23 00:15:02.804903 : Epoch  7, Batch    364, Loss  0.766279, Average Loss  0.771385, Time  0.252684
2021-09-23 00:15:03.336630 : Epoch  7, Batch    215, Loss  0.762770, Average Loss  0.770210, Time  0.261832
2021-09-23 00:15:04.685955 : Epoch  7, Batch    365, Loss  0.773207, Average Loss  0.771318, Time  0.248992
2021-09-23 00:15:05.251882 : Epoch  7, Batch    216, Loss  0.787765, Average Loss  0.770257, Time  0.253577
2021-09-23 00:15:05.463812 : Epoch  4, Batch    228, Loss  0.862057, Average Loss  0.870745, Time  0.414053
2021-09-23 00:15:06.551429 : Epoch  7, Batch    366, Loss  0.766802, Average Loss  0.771233, Time  0.248107
2021-09-23 00:15:07.172505 : Epoch  7, Batch    217, Loss  0.765692, Average Loss  0.770255, Time  0.253246
2021-09-23 00:15:08.428200 : Epoch  7, Batch    367, Loss  0.776651, Average Loss  0.771275, Time  0.251184
2021-09-23 00:15:09.087284 : Epoch  7, Batch    218, Loss  0.781638, Average Loss  0.770276, Time  0.254593
2021-09-23 00:15:10.295309 : Epoch  7, Batch    368, Loss  0.773274, Average Loss  0.771281, Time  0.248427
2021-09-23 00:15:10.416750 : Epoch  4, Batch    229, Loss  0.880398, Average Loss  0.870751, Time  0.413395
2021-09-23 00:15:10.998203 : Epoch  7, Batch    219, Loss  0.763753, Average Loss  0.770200, Time  0.255573
2021-09-23 00:15:12.175221 : Epoch  7, Batch    369, Loss  0.763186, Average Loss  0.771204, Time  0.248569
2021-09-23 00:15:12.885940 : Epoch  7, Batch    220, Loss  0.775755, Average Loss  0.770257, Time  0.251789
2021-09-23 00:15:14.058455 : Epoch  7, Batch    370, Loss  0.773598, Average Loss  0.771149, Time  0.251883
2021-09-23 00:15:14.797727 : Epoch  7, Batch    221, Loss  0.780398, Average Loss  0.770261, Time  0.255359
2021-09-23 00:15:15.366048 : Epoch  4, Batch    230, Loss  0.869433, Average Loss  0.870792, Time  0.413130
2021-09-23 00:15:15.932287 : Epoch  7, Batch    371, Loss  0.770630, Average Loss  0.771167, Time  0.251473
2021-09-23 00:15:16.711216 : Epoch  7, Batch    222, Loss  0.767804, Average Loss  0.770287, Time  0.260945
2021-09-23 00:15:17.820027 : Epoch  7, Batch    372, Loss  0.768915, Average Loss  0.771149, Time  0.248655
2021-09-23 00:15:18.614029 : Epoch  7, Batch    223, Loss  0.761575, Average Loss  0.770271, Time  0.253789
2021-09-23 00:15:19.093982 : Epoch  4, Batch    231, Loss  0.872715, Average Loss  0.870710, Time  0.317435
2021-09-23 00:15:19.705601 : Epoch  7, Batch    373, Loss  0.774485, Average Loss  0.771191, Time  0.264089
2021-09-23 00:15:20.515310 : Epoch  7, Batch    224, Loss  0.789674, Average Loss  0.770386, Time  0.251581
2021-09-23 00:15:21.594632 : Epoch  7, Batch    374, Loss  0.763221, Average Loss  0.771151, Time  0.251191
2021-09-23 00:15:22.407386 : Epoch  7, Batch    225, Loss  0.770438, Average Loss  0.770387, Time  0.253422
2021-09-23 00:15:23.471020 : Epoch  7, Batch    375, Loss  0.779218, Average Loss  0.771217, Time  0.258966
2021-09-23 00:15:24.069765 : Epoch  4, Batch    232, Loss  0.859771, Average Loss  0.870570, Time  0.413929
2021-09-23 00:15:24.327544 : Epoch  7, Batch    226, Loss  0.776783, Average Loss  0.770431, Time  0.253618
2021-09-23 00:15:25.349054 : Epoch  7, Batch    376, Loss  0.779500, Average Loss  0.771298, Time  0.247808
2021-09-23 00:15:26.234228 : Epoch  7, Batch    227, Loss  0.771403, Average Loss  0.770523, Time  0.251991
2021-09-23 00:15:27.232090 : Epoch  7, Batch    377, Loss  0.776716, Average Loss  0.771345, Time  0.250271
2021-09-23 00:15:28.168281 : Epoch  7, Batch    228, Loss  0.762183, Average Loss  0.770339, Time  0.255434
2021-09-23 00:15:29.025721 : Epoch  4, Batch    233, Loss  0.884379, Average Loss  0.870643, Time  0.412927
2021-09-23 00:15:29.101702 : Epoch  7, Batch    378, Loss  0.772452, Average Loss  0.771343, Time  0.250717
2021-09-23 00:15:30.086199 : Epoch  7, Batch    229, Loss  0.775864, Average Loss  0.770358, Time  0.256571
2021-09-23 00:15:31.992875 : Epoch  7, Batch    230, Loss  0.771202, Average Loss  0.770322, Time  0.251365
2021-09-23 00:15:33.905074 : Epoch  7, Batch    231, Loss  0.756306, Average Loss  0.770252, Time  0.253514
2021-09-23 00:15:34.004749 : Epoch  4, Batch    234, Loss  0.874424, Average Loss  0.870671, Time  0.413121
2021-09-23 00:15:35.801712 : Epoch  7, Batch    232, Loss  0.776106, Average Loss  0.770309, Time  0.255267
2021-09-23 00:15:37.795191 : Epoch  7, Batch    233, Loss  0.772659, Average Loss  0.770325, Time  0.327581
2021-09-23 00:15:38.964354 : Epoch  4, Batch    235, Loss  0.886725, Average Loss  0.870780, Time  0.413485
2021-09-23 00:15:39.690250 : Epoch  7, Batch    234, Loss  0.784024, Average Loss  0.770383, Time  0.256189
2021-09-23 00:15:41.615087 : Epoch  7, Batch    235, Loss  0.777672, Average Loss  0.770420, Time  0.253781
2021-09-23 00:15:43.542368 : Epoch  7, Batch    236, Loss  0.772134, Average Loss  0.770450, Time  0.256093
2021-09-23 00:15:43.977728 : Epoch  4, Batch    236, Loss  0.867481, Average Loss  0.870724, Time  0.464406
2021-09-23 00:15:45.450010 : Epoch  7, Batch    237, Loss  0.777023, Average Loss  0.770447, Time  0.253549
2021-09-23 00:15:47.366932 : Epoch  7, Batch    238, Loss  0.776260, Average Loss  0.770523, Time  0.259172
2021-09-23 00:15:48.993076 : Epoch  4, Batch    237, Loss  0.877140, Average Loss  0.870732, Time  0.419315
2021-09-23 00:15:49.337971 : Epoch  7, Batch    239, Loss  0.779785, Average Loss  0.770546, Time  0.326936
2021-09-23 00:15:51.231457 : Epoch  7, Batch    240, Loss  0.763403, Average Loss  0.770498, Time  0.252960
2021-09-23 00:15:53.147871 : Epoch  7, Batch    241, Loss  0.768919, Average Loss  0.770463, Time  0.255042
2021-09-23 00:15:53.996741 : Epoch  4, Batch    238, Loss  0.863073, Average Loss  0.870780, Time  0.413203
2021-09-23 00:15:55.155601 : Epoch  7, Batch    242, Loss  0.772448, Average Loss  0.770501, Time  0.294556
2021-09-23 00:15:57.063956 : Epoch  7, Batch    243, Loss  0.771967, Average Loss  0.770526, Time  0.253326
2021-09-23 00:15:58.960755 : Epoch  7, Batch    244, Loss  0.778560, Average Loss  0.770559, Time  0.254405
2021-09-23 00:15:58.968005 : Epoch  4, Batch    239, Loss  0.867654, Average Loss  0.870697, Time  0.413342
2021-09-23 00:16:00.944593 : Epoch  7, Batch    245, Loss  0.774313, Average Loss  0.770529, Time  0.329437
2021-09-23 00:16:02.847501 : Epoch  7, Batch    246, Loss  0.773784, Average Loss  0.770532, Time  0.251900
2021-09-23 00:16:03.959707 : Epoch  4, Batch    240, Loss  0.869081, Average Loss  0.870723, Time  0.413337
2021-09-23 00:16:04.754819 : Epoch  7, Batch    247, Loss  0.761792, Average Loss  0.770522, Time  0.254441
2021-09-23 00:16:06.660304 : Epoch  7, Batch    248, Loss  0.766262, Average Loss  0.770497, Time  0.251539
2021-09-23 00:16:08.916042 : Epoch  4, Batch    241, Loss  0.871806, Average Loss  0.870739, Time  0.412905
2021-09-23 00:16:10.350945 : Epoch  7, Batch    249, Loss  0.773764, Average Loss  0.770508, Time  0.263827
2021-09-23 00:16:12.270313 : Epoch  7, Batch    250, Loss  0.777298, Average Loss  0.770555, Time  0.255896
2021-09-23 00:16:13.873907 : Epoch  4, Batch    242, Loss  0.879386, Average Loss  0.870768, Time  0.413370
2021-09-23 00:16:14.255542 : Epoch  7, Batch    251, Loss  0.767071, Average Loss  0.770566, Time  0.326817
2021-09-23 00:16:16.159728 : Epoch  7, Batch    252, Loss  0.770096, Average Loss  0.770539, Time  0.258320
2021-09-23 00:16:18.070616 : Epoch  7, Batch    253, Loss  0.773504, Average Loss  0.770570, Time  0.256730
2021-09-23 00:16:18.829027 : Epoch  4, Batch    243, Loss  0.859352, Average Loss  0.870667, Time  0.413028
2021-09-23 00:16:19.987196 : Epoch  7, Batch    254, Loss  0.769115, Average Loss  0.770577, Time  0.256117
2021-09-23 00:16:21.886361 : Epoch  7, Batch    255, Loss  0.773701, Average Loss  0.770609, Time  0.251158
2021-09-23 00:16:23.806772 : Epoch  4, Batch    244, Loss  0.854632, Average Loss  0.870589, Time  0.413701
2021-09-23 00:16:25.726437 : Epoch  7, Batch    257, Loss  0.762170, Average Loss  0.770555, Time  0.253342
2021-09-23 00:16:27.675291 : Epoch  7, Batch    258, Loss  0.776911, Average Loss  0.770682, Time  0.287943
2021-09-23 00:16:28.833777 : Epoch  4, Batch    245, Loss  0.865897, Average Loss  0.870585, Time  0.461010
2021-09-23 00:16:29.592920 : Epoch  7, Batch    259, Loss  0.755824, Average Loss  0.770681, Time  0.258013
2021-09-23 00:16:31.509758 : Epoch  7, Batch    260, Loss  0.769380, Average Loss  0.770701, Time  0.255140
2021-09-23 00:16:33.479512 : Epoch  7, Batch    261, Loss  0.770307, Average Loss  0.770702, Time  0.281933
2021-09-23 00:16:33.800816 : Epoch  4, Batch    246, Loss  0.869718, Average Loss  0.870566, Time  0.413180
2021-09-23 00:16:35.405963 : Epoch  7, Batch    262, Loss  0.773962, Average Loss  0.770675, Time  0.264369
2021-09-23 00:16:37.333857 : Epoch  7, Batch    263, Loss  0.776213, Average Loss  0.770741, Time  0.254785
2021-09-23 00:16:38.767934 : Epoch  4, Batch    247, Loss  0.881959, Average Loss  0.870564, Time  0.413063
2021-09-23 00:16:39.317294 : Epoch  7, Batch    264, Loss  0.774693, Average Loss  0.770704, Time  0.338414
2021-09-23 00:16:39.720490 : CheckPoint: Validation Loss  0.00032248, Best Loss  0.00030606
2021-09-23 00:16:41.230899 : Epoch  7, Batch    265, Loss  0.776779, Average Loss  0.770755, Time  0.254349
2021-09-23 00:16:41.592375 : Epoch  7, Batch    379, Loss  0.774364, Average Loss  0.771328, Time  0.248333
2021-09-23 00:16:43.124376 : Epoch  7, Batch    266, Loss  0.770688, Average Loss  0.770758, Time  0.253438
2021-09-23 00:16:43.433224 : Epoch  7, Batch    380, Loss  0.780347, Average Loss  0.771303, Time  0.249203
2021-09-23 00:16:43.724205 : Epoch  4, Batch    248, Loss  0.880574, Average Loss  0.870601, Time  0.414438
2021-09-23 00:16:45.026085 : Epoch  7, Batch    267, Loss  0.776336, Average Loss  0.770807, Time  0.254370
2021-09-23 00:16:45.299950 : Epoch  7, Batch    381, Loss  0.772927, Average Loss  0.771260, Time  0.248585
2021-09-23 00:16:46.945188 : Epoch  7, Batch    268, Loss  0.767591, Average Loss  0.770801, Time  0.251719
2021-09-23 00:16:47.177632 : Epoch  7, Batch    382, Loss  0.761435, Average Loss  0.771223, Time  0.258416
2021-09-23 00:16:48.700059 : Epoch  4, Batch    249, Loss  0.864387, Average Loss  0.870522, Time  0.414180
2021-09-23 00:16:48.878292 : Epoch  7, Batch    269, Loss  0.764759, Average Loss  0.770790, Time  0.298129
2021-09-23 00:16:49.067600 : Epoch  7, Batch    383, Loss  0.785367, Average Loss  0.771261, Time  0.276202
2021-09-23 00:16:50.886632 : Epoch  7, Batch    270, Loss  0.776290, Average Loss  0.770843, Time  0.364969
2021-09-23 00:16:51.014617 : Epoch  7, Batch    384, Loss  0.776481, Average Loss  0.771294, Time  0.326127
2021-09-23 00:16:53.008924 : Epoch  7, Batch    271, Loss  0.775366, Average Loss  0.770880, Time  0.472985
2021-09-23 00:16:53.054801 : Epoch  7, Batch    385, Loss  0.780532, Average Loss  0.771306, Time  0.429875
2021-09-23 00:16:53.683082 : Epoch  4, Batch    250, Loss  0.865070, Average Loss  0.870538, Time  0.414220
2021-09-23 00:16:55.165174 : Epoch  7, Batch    272, Loss  0.761289, Average Loss  0.770830, Time  0.511204
2021-09-23 00:16:55.191416 : Epoch  7, Batch    386, Loss  0.777272, Average Loss  0.771300, Time  0.493948
2021-09-23 00:16:57.316335 : Epoch  7, Batch    273, Loss  0.782284, Average Loss  0.770930, Time  0.515818
2021-09-23 00:16:57.349201 : Epoch  7, Batch    387, Loss  0.777397, Average Loss  0.771338, Time  0.498740
2021-09-23 00:16:58.700882 : Epoch  4, Batch    251, Loss  0.877624, Average Loss  0.870506, Time  0.413368
2021-09-23 00:16:59.487917 : Epoch  7, Batch    274, Loss  0.766891, Average Loss  0.770932, Time  0.519437
2021-09-23 00:16:59.528831 : Epoch  7, Batch    388, Loss  0.775729, Average Loss  0.771376, Time  0.512771
2021-09-23 00:17:01.674489 : Epoch  7, Batch    389, Loss  0.773860, Average Loss  0.771389, Time  0.516243
2021-09-23 00:17:01.713646 : Epoch  7, Batch    275, Loss  0.771248, Average Loss  0.770940, Time  0.505825
2021-09-23 00:17:03.674753 : Epoch  4, Batch    252, Loss  0.866490, Average Loss  0.870453, Time  0.414252
2021-09-23 00:17:03.771386 : Epoch  7, Batch    390, Loss  0.772326, Average Loss  0.771386, Time  0.475064
2021-09-23 00:17:03.832359 : Epoch  7, Batch    276, Loss  0.775337, Average Loss  0.770939, Time  0.456438
2021-09-23 00:17:05.827683 : Epoch  7, Batch    391, Loss  0.765666, Average Loss  0.771356, Time  0.435460
2021-09-23 00:17:05.902675 : Epoch  7, Batch    277, Loss  0.773869, Average Loss  0.770959, Time  0.398520
2021-09-23 00:17:07.765105 : Epoch  7, Batch    392, Loss  0.769408, Average Loss  0.771296, Time  0.255577
2021-09-23 00:17:08.647010 : Epoch  4, Batch    253, Loss  0.879091, Average Loss  0.870502, Time  0.413652
2021-09-23 00:17:09.910813 : Epoch  7, Batch    278, Loss  0.767133, Average Loss  0.770951, Time  0.519794
2021-09-23 00:17:09.954917 : Epoch  7, Batch    393, Loss  0.783075, Average Loss  0.771365, Time  0.507975
2021-09-23 00:17:11.855004 : Epoch  7, Batch    394, Loss  0.774755, Average Loss  0.771423, Time  0.251120
2021-09-23 00:17:13.659957 : Epoch  4, Batch    254, Loss  0.872079, Average Loss  0.870558, Time  0.461665
2021-09-23 00:17:13.758423 : Epoch  7, Batch    395, Loss  0.768011, Average Loss  0.771386, Time  0.252833
2021-09-23 00:17:15.632856 : Epoch  7, Batch    396, Loss  0.764529, Average Loss  0.771304, Time  0.250981
2021-09-23 00:17:17.532268 : Epoch  7, Batch    397, Loss  0.773902, Average Loss  0.771325, Time  0.261565
2021-09-23 00:17:18.628741 : Epoch  4, Batch    255, Loss  0.882671, Average Loss  0.870595, Time  0.413536
2021-09-23 00:17:19.410742 : Epoch  7, Batch    398, Loss  0.768960, Average Loss  0.771315, Time  0.250461
2021-09-23 00:17:21.296045 : Epoch  7, Batch    399, Loss  0.769167, Average Loss  0.771345, Time  0.257064
2021-09-23 00:17:23.205152 : Epoch  7, Batch    400, Loss  0.775205, Average Loss  0.771355, Time  0.248689
2021-09-23 00:17:23.604773 : Epoch  4, Batch    256, Loss  0.892467, Average Loss  0.870685, Time  0.413389
2021-09-23 00:17:25.071888 : Epoch  7, Batch    401, Loss  0.775382, Average Loss  0.771378, Time  0.248498
2021-09-23 00:17:27.066852 : Epoch  7, Batch    402, Loss  0.767663, Average Loss  0.771338, Time  0.328447
2021-09-23 00:17:28.563725 : Epoch  4, Batch    257, Loss  0.868623, Average Loss  0.870665, Time  0.413358
2021-09-23 00:17:28.947631 : Epoch  7, Batch    403, Loss  0.770185, Average Loss  0.771339, Time  0.250430
2021-09-23 00:17:30.813568 : Epoch  7, Batch    404, Loss  0.767802, Average Loss  0.771318, Time  0.248974
2021-09-23 00:17:32.698231 : Epoch  7, Batch    405, Loss  0.777723, Average Loss  0.771386, Time  0.248608
2021-09-23 00:17:33.548960 : Epoch  4, Batch    258, Loss  0.879164, Average Loss  0.870694, Time  0.413443
2021-09-23 00:17:34.595851 : Epoch  7, Batch    406, Loss  0.751638, Average Loss  0.771326, Time  0.248967
2021-09-23 00:17:36.472077 : Epoch  7, Batch    407, Loss  0.758292, Average Loss  0.771208, Time  0.249317
2021-09-23 00:17:38.341875 : Epoch  7, Batch    408, Loss  0.763919, Average Loss  0.771159, Time  0.251259
2021-09-23 00:17:38.527950 : Epoch  4, Batch    259, Loss  0.873748, Average Loss  0.870749, Time  0.412926
2021-09-23 00:17:40.293469 : Epoch  7, Batch    409, Loss  0.761538, Average Loss  0.771069, Time  0.324441
2021-09-23 00:17:42.195446 : Epoch  7, Batch    410, Loss  0.762025, Average Loss  0.771009, Time  0.248450
2021-09-23 00:17:43.498921 : Epoch  4, Batch    260, Loss  0.874713, Average Loss  0.870749, Time  0.414484
2021-09-23 00:17:44.086636 : Epoch  7, Batch    411, Loss  0.763769, Average Loss  0.771005, Time  0.251090
2021-09-23 00:17:45.943973 : Epoch  7, Batch    412, Loss  0.782127, Average Loss  0.771099, Time  0.249040
2021-09-23 00:17:47.826940 : Epoch  7, Batch    413, Loss  0.764577, Average Loss  0.771043, Time  0.252333
2021-09-23 00:17:48.505732 : Epoch  4, Batch    261, Loss  0.866278, Average Loss  0.870707, Time  0.415214
2021-09-23 00:17:49.695277 : Epoch  7, Batch    414, Loss  0.769741, Average Loss  0.771029, Time  0.250039
2021-09-23 00:17:51.586692 : Epoch  7, Batch    415, Loss  0.768176, Average Loss  0.771078, Time  0.251217
2021-09-23 00:17:53.468100 : Epoch  7, Batch    416, Loss  0.779247, Average Loss  0.771140, Time  0.252238
2021-09-23 00:17:53.537002 : Epoch  4, Batch    262, Loss  0.866716, Average Loss  0.870606, Time  0.413937
2021-09-23 00:17:55.448879 : Epoch  7, Batch    417, Loss  0.771831, Average Loss  0.771163, Time  0.327223
2021-09-23 00:17:57.320126 : Epoch  7, Batch    418, Loss  0.762894, Average Loss  0.771153, Time  0.252498
2021-09-23 00:17:58.553798 : Epoch  4, Batch    263, Loss  0.860947, Average Loss  0.870552, Time  0.454343
2021-09-23 00:17:59.202263 : Epoch  7, Batch    419, Loss  0.775480, Average Loss  0.771133, Time  0.251824
2021-09-23 00:18:01.093218 : Epoch  7, Batch    420, Loss  0.772887, Average Loss  0.771168, Time  0.250098
2021-09-23 00:18:02.967801 : Epoch  7, Batch    421, Loss  0.762845, Average Loss  0.771165, Time  0.250443
2021-09-23 00:18:03.565794 : Epoch  4, Batch    264, Loss  0.873582, Average Loss  0.870590, Time  0.414928
2021-09-23 00:18:04.847435 : Epoch  7, Batch    422, Loss  0.768991, Average Loss  0.771108, Time  0.250928
2021-09-23 00:18:06.717256 : Epoch  7, Batch    423, Loss  0.770332, Average Loss  0.771065, Time  0.248431
2021-09-23 00:18:08.546729 : Epoch  4, Batch    265, Loss  0.849961, Average Loss  0.870487, Time  0.413485
2021-09-23 00:18:08.593877 : Epoch  7, Batch    424, Loss  0.762963, Average Loss  0.770969, Time  0.255711
2021-09-23 00:18:10.515706 : Epoch  7, Batch    425, Loss  0.783338, Average Loss  0.771083, Time  0.326320
2021-09-23 00:18:12.399425 : Epoch  7, Batch    426, Loss  0.779644, Average Loss  0.771105, Time  0.249454
2021-09-23 00:18:13.541752 : Epoch  4, Batch    266, Loss  0.868989, Average Loss  0.870491, Time  0.413160
2021-09-23 00:18:14.270936 : Epoch  7, Batch    427, Loss  0.773837, Average Loss  0.771096, Time  0.247860
2021-09-23 00:18:16.143596 : Epoch  7, Batch    428, Loss  0.774726, Average Loss  0.771146, Time  0.247918
2021-09-23 00:18:18.016578 : Epoch  7, Batch    429, Loss  0.779700, Average Loss  0.771163, Time  0.250577
2021-09-23 00:18:18.530870 : Epoch  4, Batch    267, Loss  0.882850, Average Loss  0.870588, Time  0.413083
2021-09-23 00:18:19.917282 : Epoch  7, Batch    430, Loss  0.781459, Average Loss  0.771231, Time  0.247974
2021-09-23 00:18:21.006032 : CheckPoint: Validation Loss  0.00032632, Best Loss  0.00030514
2021-09-23 00:18:21.783563 : Epoch  7, Batch    431, Loss  0.768898, Average Loss  0.771227, Time  0.248193
2021-09-23 00:18:22.903888 : Epoch  7, Batch    279, Loss  0.774199, Average Loss  0.770965, Time  0.251365
2021-09-23 00:18:23.571848 : Epoch  4, Batch    268, Loss  0.860008, Average Loss  0.870519, Time  0.413551
2021-09-23 00:18:23.653627 : Epoch  7, Batch    432, Loss  0.777981, Average Loss  0.771263, Time  0.249077
2021-09-23 00:18:24.816968 : Epoch  7, Batch    280, Loss  0.769142, Average Loss  0.770907, Time  0.251889
2021-09-23 00:18:25.503078 : Epoch  7, Batch    433, Loss  0.769777, Average Loss  0.771264, Time  0.247857
2021-09-23 00:18:26.712944 : Epoch  7, Batch    281, Loss  0.777306, Average Loss  0.770966, Time  0.252081
2021-09-23 00:18:27.395947 : Epoch  7, Batch    434, Loss  0.768854, Average Loss  0.771288, Time  0.248909
2021-09-23 00:18:28.602727 : Epoch  4, Batch    269, Loss  0.881181, Average Loss  0.870512, Time  0.412909
2021-09-23 00:18:28.623748 : Epoch  7, Batch    282, Loss  0.759627, Average Loss  0.770907, Time  0.250929
2021-09-23 00:18:29.263570 : Epoch  7, Batch    435, Loss  0.762636, Average Loss  0.771229, Time  0.248344
2021-09-23 00:18:30.502597 : Epoch  7, Batch    283, Loss  0.780172, Average Loss  0.770923, Time  0.255310
2021-09-23 00:18:31.184471 : Epoch  7, Batch    436, Loss  0.766189, Average Loss  0.771264, Time  0.250716
2021-09-23 00:18:32.389933 : Epoch  7, Batch    284, Loss  0.761019, Average Loss  0.770890, Time  0.254052
2021-09-23 00:18:33.074392 : Epoch  7, Batch    437, Loss  0.770669, Average Loss  0.771271, Time  0.249231
2021-09-23 00:18:33.574761 : Epoch  4, Batch    270, Loss  0.871010, Average Loss  0.870519, Time  0.413650
2021-09-23 00:18:34.288288 : Epoch  7, Batch    285, Loss  0.782722, Average Loss  0.770961, Time  0.253778
2021-09-23 00:18:34.950829 : Epoch  7, Batch    438, Loss  0.769370, Average Loss  0.771266, Time  0.248799
2021-09-23 00:18:36.184089 : Epoch  7, Batch    286, Loss  0.781232, Average Loss  0.770958, Time  0.251778
2021-09-23 00:18:36.828320 : Epoch  7, Batch    439, Loss  0.780858, Average Loss  0.771329, Time  0.249531
2021-09-23 00:18:38.098866 : Epoch  7, Batch    287, Loss  0.772598, Average Loss  0.771016, Time  0.256849
2021-09-23 00:18:38.578827 : Epoch  4, Batch    271, Loss  0.886525, Average Loss  0.870658, Time  0.415175
2021-09-23 00:18:38.710712 : Epoch  7, Batch    440, Loss  0.763926, Average Loss  0.771323, Time  0.248568
2021-09-23 00:18:39.990945 : Epoch  7, Batch    288, Loss  0.753045, Average Loss  0.770986, Time  0.253418
2021-09-23 00:18:40.582321 : Epoch  7, Batch    441, Loss  0.770836, Average Loss  0.771298, Time  0.248869
2021-09-23 00:18:41.909427 : Epoch  7, Batch    289, Loss  0.772486, Average Loss  0.771025, Time  0.257058
2021-09-23 00:18:42.455556 : Epoch  7, Batch    442, Loss  0.781938, Average Loss  0.771385, Time  0.248999
2021-09-23 00:18:43.599856 : Epoch  4, Batch    272, Loss  0.891903, Average Loss  0.870764, Time  0.451272
2021-09-23 00:18:43.814249 : Epoch  7, Batch    290, Loss  0.783582, Average Loss  0.771127, Time  0.250991
2021-09-23 00:18:44.347206 : Epoch  7, Batch    443, Loss  0.769274, Average Loss  0.771351, Time  0.251079
2021-09-23 00:18:45.737320 : Epoch  7, Batch    291, Loss  0.770308, Average Loss  0.771112, Time  0.256742
2021-09-23 00:18:46.262725 : Epoch  7, Batch    444, Loss  0.777769, Average Loss  0.771378, Time  0.257176
2021-09-23 00:18:47.643976 : Epoch  7, Batch    292, Loss  0.771670, Average Loss  0.771105, Time  0.253808
2021-09-23 00:18:48.145223 : Epoch  7, Batch    445, Loss  0.767821, Average Loss  0.771413, Time  0.251078
2021-09-23 00:18:48.590826 : Epoch  4, Batch    273, Loss  0.850501, Average Loss  0.870634, Time  0.413925
2021-09-23 00:18:49.581870 : Epoch  7, Batch    293, Loss  0.780372, Average Loss  0.771177, Time  0.256774
2021-09-23 00:18:50.031354 : Epoch  7, Batch    446, Loss  0.774929, Average Loss  0.771389, Time  0.248989
2021-09-23 00:18:51.508919 : Epoch  7, Batch    294, Loss  0.774168, Average Loss  0.771201, Time  0.258451
2021-09-23 00:18:51.909032 : Epoch  7, Batch    447, Loss  0.774864, Average Loss  0.771394, Time  0.265347
2021-09-23 00:18:53.430245 : Epoch  7, Batch    295, Loss  0.770806, Average Loss  0.771177, Time  0.260538
2021-09-23 00:18:53.601049 : Epoch  4, Batch    274, Loss  0.862190, Average Loss  0.870578, Time  0.414122
2021-09-23 00:18:53.785711 : Epoch  7, Batch    448, Loss  0.782938, Average Loss  0.771451, Time  0.251469
2021-09-23 00:18:55.351113 : Epoch  7, Batch    296, Loss  0.764963, Average Loss  0.771098, Time  0.254902
2021-09-23 00:18:57.343789 : Epoch  7, Batch    297, Loss  0.775467, Average Loss  0.771141, Time  0.328791
2021-09-23 00:18:57.499971 : Epoch  7, Batch    449, Loss  0.772009, Average Loss  0.771404, Time  0.300115
2021-09-23 00:18:58.592990 : Epoch  4, Batch    275, Loss  0.871752, Average Loss  0.870582, Time  0.413970
2021-09-23 00:18:59.519289 : Epoch  7, Batch    298, Loss  0.774212, Average Loss  0.771181, Time  0.474977
2021-09-23 00:18:59.567371 : Epoch  7, Batch    450, Loss  0.760426, Average Loss  0.771353, Time  0.425241
2021-09-23 00:19:01.661553 : Epoch  7, Batch    299, Loss  0.768242, Average Loss  0.771182, Time  0.500947
2021-09-23 00:19:01.719801 : Epoch  7, Batch    451, Loss  0.766821, Average Loss  0.771352, Time  0.476923
2021-09-23 00:19:03.578991 : Epoch  4, Batch    276, Loss  0.863997, Average Loss  0.870539, Time  0.414202
2021-09-23 00:19:03.827536 : Epoch  7, Batch    300, Loss  0.757231, Average Loss  0.771112, Time  0.507078
2021-09-23 00:19:03.851265 : Epoch  7, Batch    452, Loss  0.762978, Average Loss  0.771321, Time  0.482878
2021-09-23 00:19:06.004213 : Epoch  7, Batch    453, Loss  0.773746, Average Loss  0.771291, Time  0.513525
2021-09-23 00:19:06.038548 : Epoch  7, Batch    301, Loss  0.777703, Average Loss  0.771196, Time  0.509571
2021-09-23 00:19:08.091487 : Epoch  7, Batch    454, Loss  0.773707, Average Loss  0.771283, Time  0.471390
2021-09-23 00:19:08.147173 : Epoch  7, Batch    302, Loss  0.763832, Average Loss  0.771127, Time  0.442751
2021-09-23 00:19:08.683752 : Epoch  4, Batch    277, Loss  0.857173, Average Loss  0.870486, Time  0.413812
2021-09-23 00:19:10.223023 : Epoch  7, Batch    455, Loss  0.768037, Average Loss  0.771257, Time  0.500347
2021-09-23 00:19:10.260677 : Epoch  7, Batch    303, Loss  0.768765, Average Loss  0.771099, Time  0.460662
2021-09-23 00:19:12.340917 : Epoch  7, Batch    456, Loss  0.768674, Average Loss  0.771229, Time  0.473330
2021-09-23 00:19:12.396393 : Epoch  7, Batch    304, Loss  0.766248, Average Loss  0.771103, Time  0.440249
2021-09-23 00:19:13.759040 : Epoch  4, Batch    278, Loss  0.872043, Average Loss  0.870418, Time  0.413410
2021-09-23 00:19:14.495919 : Epoch  7, Batch    457, Loss  0.766071, Average Loss  0.771202, Time  0.498840
2021-09-23 00:19:14.529004 : Epoch  7, Batch    305, Loss  0.783934, Average Loss  0.771094, Time  0.475403
2021-09-23 00:19:16.585956 : Epoch  7, Batch    458, Loss  0.779253, Average Loss  0.771182, Time  0.477549
2021-09-23 00:19:16.630715 : Epoch  7, Batch    306, Loss  0.761172, Average Loss  0.771072, Time  0.447591
2021-09-23 00:19:18.693306 : Epoch  7, Batch    459, Loss  0.772720, Average Loss  0.771171, Time  0.484087
2021-09-23 00:19:18.738334 : Epoch  7, Batch    307, Loss  0.778405, Average Loss  0.771116, Time  0.453778
2021-09-23 00:19:18.808728 : Epoch  4, Batch    279, Loss  0.870431, Average Loss  0.870390, Time  0.414623
2021-09-23 00:19:20.794816 : Epoch  7, Batch    460, Loss  0.767672, Average Loss  0.771181, Time  0.475740
2021-09-23 00:19:20.840676 : Epoch  7, Batch    308, Loss  0.770707, Average Loss  0.771124, Time  0.443944
2021-09-23 00:19:22.875991 : Epoch  7, Batch    461, Loss  0.773346, Average Loss  0.771186, Time  0.455997
2021-09-23 00:19:22.937373 : Epoch  7, Batch    309, Loss  0.780226, Average Loss  0.771116, Time  0.424164
2021-09-23 00:19:23.829818 : Epoch  4, Batch    280, Loss  0.869225, Average Loss  0.870451, Time  0.413110
2021-09-23 00:19:24.932060 : Epoch  7, Batch    462, Loss  0.773465, Average Loss  0.771150, Time  0.428832
2021-09-23 00:19:25.020959 : Epoch  7, Batch    310, Loss  0.774643, Average Loss  0.771168, Time  0.404683
2021-09-23 00:19:27.012270 : Epoch  7, Batch    463, Loss  0.767902, Average Loss  0.771127, Time  0.438882
2021-09-23 00:19:27.087404 : Epoch  7, Batch    311, Loss  0.766648, Average Loss  0.771157, Time  0.410735
2021-09-23 00:19:28.847782 : Epoch  4, Batch    281, Loss  0.884081, Average Loss  0.870510, Time  0.443877
2021-09-23 00:19:29.171783 : Epoch  7, Batch    464, Loss  0.775772, Average Loss  0.771143, Time  0.484869
2021-09-23 00:19:29.196515 : Epoch  7, Batch    312, Loss  0.772433, Average Loss  0.771199, Time  0.451963
2021-09-23 00:19:31.320303 : Epoch  7, Batch    465, Loss  0.776750, Average Loss  0.771153, Time  0.493265
2021-09-23 00:19:31.360112 : Epoch  7, Batch    313, Loss  0.773129, Average Loss  0.771212, Time  0.459243
2021-09-23 00:19:33.406246 : Epoch  7, Batch    466, Loss  0.775730, Average Loss  0.771201, Time  0.472331
2021-09-23 00:19:33.450117 : Epoch  7, Batch    314, Loss  0.765625, Average Loss  0.771265, Time  0.440697
2021-09-23 00:19:33.825085 : Epoch  4, Batch    282, Loss  0.877811, Average Loss  0.870513, Time  0.413374
2021-09-23 00:19:35.489310 : Epoch  7, Batch    467, Loss  0.760345, Average Loss  0.771148, Time  0.460773
2021-09-23 00:19:35.546736 : Epoch  7, Batch    315, Loss  0.769292, Average Loss  0.771230, Time  0.432592
2021-09-23 00:19:37.562681 : Epoch  7, Batch    468, Loss  0.775282, Average Loss  0.771213, Time  0.444591
2021-09-23 00:19:37.629805 : Epoch  7, Batch    316, Loss  0.771723, Average Loss  0.771200, Time  0.415473
2021-09-23 00:19:38.794748 : Epoch  4, Batch    283, Loss  0.872188, Average Loss  0.870576, Time  0.413368
2021-09-23 00:19:39.665484 : Epoch  7, Batch    469, Loss  0.772978, Average Loss  0.771248, Time  0.470015
2021-09-23 00:19:39.718899 : Epoch  7, Batch    317, Loss  0.763198, Average Loss  0.771158, Time  0.433839
2021-09-23 00:19:41.722320 : Epoch  7, Batch    470, Loss  0.757047, Average Loss  0.771150, Time  0.436669
2021-09-23 00:19:41.804974 : Epoch  7, Batch    318, Loss  0.771473, Average Loss  0.771225, Time  0.404639
2021-09-23 00:19:43.764935 : Epoch  4, Batch    284, Loss  0.869196, Average Loss  0.870604, Time  0.413246
2021-09-23 00:19:43.768942 : Epoch  7, Batch    471, Loss  0.781363, Average Loss  0.771218, Time  0.424216
2021-09-23 00:19:43.861386 : Epoch  7, Batch    319, Loss  0.768564, Average Loss  0.771220, Time  0.392463
2021-09-23 00:19:45.901231 : Epoch  7, Batch    472, Loss  0.764100, Average Loss  0.771181, Time  0.464939
2021-09-23 00:19:45.955273 : Epoch  7, Batch    320, Loss  0.763321, Average Loss  0.771211, Time  0.431231
2021-09-23 00:19:47.979893 : Epoch  7, Batch    473, Loss  0.768382, Average Loss  0.771160, Time  0.461313
2021-09-23 00:19:48.032864 : Epoch  7, Batch    321, Loss  0.765638, Average Loss  0.771196, Time  0.425499
2021-09-23 00:19:48.745854 : Epoch  4, Batch    285, Loss  0.863244, Average Loss  0.870561, Time  0.413373
2021-09-23 00:19:50.062442 : Epoch  7, Batch    474, Loss  0.765778, Average Loss  0.771134, Time  0.455682
2021-09-23 00:19:50.124264 : Epoch  7, Batch    322, Loss  0.773112, Average Loss  0.771192, Time  0.421786
2021-09-23 00:19:52.170578 : Epoch  7, Batch    475, Loss  0.777759, Average Loss  0.771141, Time  0.469559
2021-09-23 00:19:52.224292 : Epoch  7, Batch    323, Loss  0.775793, Average Loss  0.771183, Time  0.437214
2021-09-23 00:19:53.739004 : Epoch  4, Batch    286, Loss  0.860627, Average Loss  0.870564, Time  0.414425
2021-09-23 00:19:54.247283 : Epoch  7, Batch    476, Loss  0.770965, Average Loss  0.771137, Time  0.454723
2021-09-23 00:19:54.310730 : Epoch  7, Batch    324, Loss  0.770692, Average Loss  0.771158, Time  0.418976
2021-09-23 00:19:56.348276 : Epoch  7, Batch    477, Loss  0.779941, Average Loss  0.771149, Time  0.475758
2021-09-23 00:19:56.396269 : Epoch  7, Batch    325, Loss  0.767366, Average Loss  0.771165, Time  0.438246
2021-09-23 00:19:58.460221 : Epoch  7, Batch    478, Loss  0.774370, Average Loss  0.771114, Time  0.484470
2021-09-23 00:19:58.496504 : Epoch  7, Batch    326, Loss  0.770392, Average Loss  0.771113, Time  0.452409
2021-09-23 00:19:58.728877 : Epoch  4, Batch    287, Loss  0.869014, Average Loss  0.870551, Time  0.414182
2021-09-23 00:20:00.426646 : Epoch  7, Batch    327, Loss  0.772388, Average Loss  0.771133, Time  0.257886
2021-09-23 00:20:02.329307 : Epoch  7, Batch    328, Loss  0.766104, Average Loss  0.771126, Time  0.253679
2021-09-23 00:20:03.718817 : Epoch  4, Batch    288, Loss  0.873967, Average Loss  0.870663, Time  0.414482
2021-09-23 00:20:04.260646 : Epoch  7, Batch    329, Loss  0.778731, Average Loss  0.771169, Time  0.261174
2021-09-23 00:20:06.155472 : Epoch  7, Batch    330, Loss  0.770319, Average Loss  0.771115, Time  0.253124
2021-09-23 00:20:08.068817 : Epoch  7, Batch    331, Loss  0.764544, Average Loss  0.771116, Time  0.254398
2021-09-23 00:20:08.702733 : Epoch  4, Batch    289, Loss  0.867424, Average Loss  0.870643, Time  0.414553
2021-09-23 00:20:09.979466 : Epoch  7, Batch    332, Loss  0.771338, Average Loss  0.771123, Time  0.251627
2021-09-23 00:20:11.952833 : Epoch  7, Batch    333, Loss  0.761693, Average Loss  0.771116, Time  0.331251
2021-09-23 00:20:13.743027 : Epoch  4, Batch    290, Loss  0.857874, Average Loss  0.870628, Time  0.461219
2021-09-23 00:20:13.889813 : Epoch  7, Batch    334, Loss  0.771708, Average Loss  0.771095, Time  0.252897
2021-09-23 00:20:15.777658 : Epoch  7, Batch    335, Loss  0.781308, Average Loss  0.771149, Time  0.251468
2021-09-23 00:20:17.685434 : Epoch  7, Batch    336, Loss  0.764417, Average Loss  0.771143, Time  0.253853
2021-09-23 00:20:18.715003 : Epoch  4, Batch    291, Loss  0.863313, Average Loss  0.870600, Time  0.413133
2021-09-23 00:20:19.598239 : Epoch  7, Batch    337, Loss  0.771160, Average Loss  0.771205, Time  0.254081
2021-09-23 00:20:21.515331 : Epoch  7, Batch    338, Loss  0.770758, Average Loss  0.771193, Time  0.251936
2021-09-23 00:20:23.510011 : Epoch  7, Batch    339, Loss  0.774794, Average Loss  0.771159, Time  0.330458
2021-09-23 00:20:23.700967 : Epoch  4, Batch    292, Loss  0.873223, Average Loss  0.870550, Time  0.413287
2021-09-23 00:20:25.410069 : Epoch  7, Batch    340, Loss  0.779014, Average Loss  0.771248, Time  0.253002
2021-09-23 00:20:27.328769 : Epoch  7, Batch    341, Loss  0.779991, Average Loss  0.771254, Time  0.253326
2021-09-23 00:20:28.673914 : Epoch  4, Batch    293, Loss  0.869293, Average Loss  0.870551, Time  0.413158
2021-09-23 00:20:29.256994 : Epoch  7, Batch    342, Loss  0.773459, Average Loss  0.771249, Time  0.253124
2021-09-23 00:20:31.170697 : Epoch  7, Batch    343, Loss  0.773088, Average Loss  0.771303, Time  0.253976
2021-09-23 00:20:33.064256 : Epoch  7, Batch    344, Loss  0.784154, Average Loss  0.771319, Time  0.251133
2021-09-23 00:20:33.666751 : Epoch  4, Batch    294, Loss  0.866737, Average Loss  0.870548, Time  0.413870
2021-09-23 00:20:35.055802 : Epoch  7, Batch    345, Loss  0.770882, Average Loss  0.771315, Time  0.328458
2021-09-23 00:20:36.955759 : Epoch  7, Batch    346, Loss  0.776060, Average Loss  0.771301, Time  0.255046
2021-09-23 00:20:38.645755 : Epoch  4, Batch    295, Loss  0.879952, Average Loss  0.870639, Time  0.413473
2021-09-23 00:20:38.861023 : Epoch  7, Batch    347, Loss  0.774804, Average Loss  0.771345, Time  0.251917
2021-09-23 00:20:40.748602 : Epoch  7, Batch    348, Loss  0.765398, Average Loss  0.771368, Time  0.253243
2021-09-23 00:20:43.627997 : Epoch  4, Batch    296, Loss  0.863955, Average Loss  0.870528, Time  0.413498
2021-09-23 00:20:44.442701 : Epoch  7, Batch    349, Loss  0.775131, Average Loss  0.771405, Time  0.251677
2021-09-23 00:20:46.361391 : Epoch  7, Batch    350, Loss  0.768163, Average Loss  0.771413, Time  0.251509
2021-09-23 00:20:48.349831 : Epoch  7, Batch    351, Loss  0.772657, Average Loss  0.771436, Time  0.325533
2021-09-23 00:20:48.610917 : Epoch  4, Batch    297, Loss  0.879517, Average Loss  0.870575, Time  0.412977
2021-09-23 00:20:50.261833 : Epoch  7, Batch    352, Loss  0.770248, Average Loss  0.771418, Time  0.252111
2021-09-23 00:20:52.162453 : Epoch  7, Batch    353, Loss  0.770049, Average Loss  0.771347, Time  0.251648
2021-09-23 00:20:53.600728 : Epoch  4, Batch    298, Loss  0.881552, Average Loss  0.870700, Time  0.414481
2021-09-23 00:20:54.078004 : Epoch  7, Batch    354, Loss  0.783014, Average Loss  0.771435, Time  0.255918
2021-09-23 00:20:55.974796 : Epoch  7, Batch    355, Loss  0.764669, Average Loss  0.771387, Time  0.252872
2021-09-23 00:20:57.881464 : Epoch  7, Batch    356, Loss  0.773815, Average Loss  0.771470, Time  0.253078
2021-09-23 00:20:58.628770 : Epoch  4, Batch    299, Loss  0.872523, Average Loss  0.870697, Time  0.459854
2021-09-23 00:20:59.794263 : Epoch  7, Batch    357, Loss  0.782067, Average Loss  0.771514, Time  0.254347
2021-09-23 00:21:01.749113 : Epoch  7, Batch    358, Loss  0.769613, Average Loss  0.771513, Time  0.271442
2021-09-23 00:21:03.615936 : Epoch  4, Batch    300, Loss  0.864739, Average Loss  0.870720, Time  0.414089
2021-09-23 00:21:03.663855 : Epoch  7, Batch    359, Loss  0.773851, Average Loss  0.771560, Time  0.260326
2021-09-23 00:21:05.586721 : Epoch  7, Batch    360, Loss  0.777655, Average Loss  0.771560, Time  0.252489
2021-09-23 00:21:07.478158 : Epoch  7, Batch    361, Loss  0.773238, Average Loss  0.771586, Time  0.252328
2021-09-23 00:21:08.595888 : Epoch  4, Batch    301, Loss  0.864074, Average Loss  0.870751, Time  0.413628
2021-09-23 00:21:08.666341 : CheckPoint: Validation Loss  0.00032793, Best Loss  0.00030606
2021-09-23 00:21:09.386301 : Epoch  7, Batch    362, Loss  0.763355, Average Loss  0.771558, Time  0.251077
2021-09-23 00:21:10.563869 : Epoch  7, Batch    479, Loss  0.763435, Average Loss  0.771090, Time  0.253333
2021-09-23 00:21:11.308014 : Epoch  7, Batch    363, Loss  0.763400, Average Loss  0.771538, Time  0.253397
2021-09-23 00:21:12.457959 : Epoch  7, Batch    480, Loss  0.768711, Average Loss  0.771122, Time  0.248930
2021-09-23 00:21:13.242057 : Epoch  7, Batch    364, Loss  0.765409, Average Loss  0.771491, Time  0.256410
2021-09-23 00:21:13.584416 : Epoch  4, Batch    302, Loss  0.869033, Average Loss  0.870702, Time  0.414211
2021-09-23 00:21:14.327872 : Epoch  7, Batch    481, Loss  0.773597, Average Loss  0.771202, Time  0.250499
2021-09-23 00:21:15.151464 : Epoch  7, Batch    365, Loss  0.772651, Average Loss  0.771446, Time  0.254790
2021-09-23 00:21:16.200429 : Epoch  7, Batch    482, Loss  0.773372, Average Loss  0.771223, Time  0.252191
2021-09-23 00:21:17.064133 : Epoch  7, Batch    366, Loss  0.772952, Average Loss  0.771472, Time  0.261047
2021-09-23 00:21:18.092981 : Epoch  7, Batch    483, Loss  0.779615, Average Loss  0.771238, Time  0.248844
2021-09-23 00:21:18.558943 : Epoch  4, Batch    303, Loss  0.866735, Average Loss  0.870704, Time  0.413353
2021-09-23 00:21:18.990496 : Epoch  7, Batch    367, Loss  0.768985, Average Loss  0.771488, Time  0.252138
2021-09-23 00:21:19.973229 : Epoch  7, Batch    484, Loss  0.783145, Average Loss  0.771282, Time  0.248705
2021-09-23 00:21:20.878885 : Epoch  7, Batch    368, Loss  0.775454, Average Loss  0.771475, Time  0.257422
2021-09-23 00:21:21.855235 : Epoch  7, Batch    485, Loss  0.771892, Average Loss  0.771307, Time  0.247887
2021-09-23 00:21:22.797048 : Epoch  7, Batch    369, Loss  0.765040, Average Loss  0.771453, Time  0.254321
2021-09-23 00:21:23.548782 : Epoch  4, Batch    304, Loss  0.868307, Average Loss  0.870692, Time  0.413606
2021-09-23 00:21:23.746188 : Epoch  7, Batch    486, Loss  0.771389, Average Loss  0.771287, Time  0.258823
2021-09-23 00:21:24.725360 : Epoch  7, Batch    370, Loss  0.776897, Average Loss  0.771493, Time  0.262290
2021-09-23 00:21:25.633508 : Epoch  7, Batch    487, Loss  0.765007, Average Loss  0.771244, Time  0.251689
2021-09-23 00:21:26.656297 : Epoch  7, Batch    371, Loss  0.768613, Average Loss  0.771469, Time  0.253233
2021-09-23 00:21:27.528434 : Epoch  7, Batch    488, Loss  0.777327, Average Loss  0.771280, Time  0.257390
2021-09-23 00:21:28.528780 : Epoch  4, Batch    305, Loss  0.868212, Average Loss  0.870665, Time  0.412954
2021-09-23 00:21:28.555784 : Epoch  7, Batch    372, Loss  0.760521, Average Loss  0.771379, Time  0.256353
2021-09-23 00:21:29.391934 : Epoch  7, Batch    489, Loss  0.773772, Average Loss  0.771351, Time  0.251277
2021-09-23 00:21:30.511437 : Epoch  7, Batch    373, Loss  0.778690, Average Loss  0.771401, Time  0.256233
2021-09-23 00:21:31.361167 : Epoch  7, Batch    490, Loss  0.769559, Average Loss  0.771313, Time  0.262321
2021-09-23 00:21:32.423515 : Epoch  7, Batch    374, Loss  0.772211, Average Loss  0.771423, Time  0.257331
2021-09-23 00:21:33.242351 : Epoch  7, Batch    491, Loss  0.765629, Average Loss  0.771341, Time  0.252821
2021-09-23 00:21:33.602738 : Epoch  4, Batch    306, Loss  0.852619, Average Loss  0.870623, Time  0.413374
2021-09-23 00:21:34.329234 : Epoch  7, Batch    375, Loss  0.775063, Average Loss  0.771410, Time  0.255041
2021-09-23 00:21:35.111160 : Epoch  7, Batch    492, Loss  0.778787, Average Loss  0.771433, Time  0.249101
2021-09-23 00:21:36.224966 : Epoch  7, Batch    376, Loss  0.772618, Average Loss  0.771443, Time  0.252166
2021-09-23 00:21:36.978965 : Epoch  7, Batch    493, Loss  0.760618, Average Loss  0.771360, Time  0.248888
2021-09-23 00:21:38.146363 : Epoch  7, Batch    377, Loss  0.763681, Average Loss  0.771409, Time  0.257465
2021-09-23 00:21:38.570812 : Epoch  4, Batch    307, Loss  0.867566, Average Loss  0.870589, Time  0.413156
2021-09-23 00:21:38.858403 : Epoch  7, Batch    494, Loss  0.764429, Average Loss  0.771337, Time  0.256772
2021-09-23 00:21:40.066321 : Epoch  7, Batch    378, Loss  0.768800, Average Loss  0.771396, Time  0.252888
2021-09-23 00:21:40.739981 : Epoch  7, Batch    495, Loss  0.770911, Average Loss  0.771322, Time  0.250213
2021-09-23 00:21:42.627275 : Epoch  7, Batch    496, Loss  0.769946, Average Loss  0.771330, Time  0.248483
2021-09-23 00:21:43.610851 : Epoch  4, Batch    308, Loss  0.867213, Average Loss  0.870582, Time  0.464408
2021-09-23 00:21:44.507939 : Epoch  7, Batch    497, Loss  0.768810, Average Loss  0.771345, Time  0.254783
2021-09-23 00:21:46.398351 : Epoch  7, Batch    498, Loss  0.761848, Average Loss  0.771270, Time  0.253437
2021-09-23 00:21:48.275815 : Epoch  7, Batch    499, Loss  0.761875, Average Loss  0.771213, Time  0.248404
2021-09-23 00:21:48.609898 : Epoch  4, Batch    309, Loss  0.880233, Average Loss  0.870660, Time  0.419058
2021-09-23 00:21:50.160532 : Epoch  7, Batch    500, Loss  0.756139, Average Loss  0.771143, Time  0.254655
2021-09-23 00:21:52.104239 : Epoch  7, Batch    501, Loss  0.786872, Average Loss  0.771212, Time  0.326330
2021-09-23 00:21:53.600982 : Epoch  4, Batch    310, Loss  0.869067, Average Loss  0.870652, Time  0.413402
2021-09-23 00:21:53.989013 : Epoch  7, Batch    502, Loss  0.767028, Average Loss  0.771158, Time  0.258484
2021-09-23 00:21:55.863315 : Epoch  7, Batch    503, Loss  0.770232, Average Loss  0.771149, Time  0.249095
2021-09-23 00:21:57.740527 : Epoch  7, Batch    504, Loss  0.766836, Average Loss  0.771099, Time  0.250015
2021-09-23 00:21:58.597958 : Epoch  4, Batch    311, Loss  0.883604, Average Loss  0.870745, Time  0.414285
2021-09-23 00:21:59.634883 : Epoch  7, Batch    505, Loss  0.771066, Average Loss  0.771132, Time  0.250112
2021-09-23 00:22:01.532631 : Epoch  7, Batch    506, Loss  0.762524, Average Loss  0.771121, Time  0.247925
2021-09-23 00:22:03.411011 : Epoch  7, Batch    507, Loss  0.770263, Average Loss  0.771086, Time  0.254978
2021-09-23 00:22:03.591831 : Epoch  4, Batch    312, Loss  0.868298, Average Loss  0.870749, Time  0.413609
2021-09-23 00:22:05.368820 : Epoch  7, Batch    508, Loss  0.777941, Average Loss  0.771123, Time  0.326390
2021-09-23 00:22:07.251075 : Epoch  7, Batch    509, Loss  0.773517, Average Loss  0.771101, Time  0.248569
2021-09-23 00:22:08.563046 : Epoch  4, Batch    313, Loss  0.864230, Average Loss  0.870647, Time  0.413745
2021-09-23 00:22:09.146006 : Epoch  7, Batch    510, Loss  0.770389, Average Loss  0.771110, Time  0.253684
2021-09-23 00:22:11.021979 : Epoch  7, Batch    511, Loss  0.759545, Average Loss  0.771119, Time  0.248860
2021-09-23 00:22:12.917999 : Epoch  7, Batch    512, Loss  0.779008, Average Loss  0.771149, Time  0.251144
2021-09-23 00:22:13.619750 : Epoch  4, Batch    314, Loss  0.890384, Average Loss  0.870781, Time  0.413404
2021-09-23 00:22:14.799360 : Epoch  7, Batch    513, Loss  0.772396, Average Loss  0.771086, Time  0.254160
2021-09-23 00:22:16.671340 : Epoch  7, Batch    514, Loss  0.777147, Average Loss  0.771111, Time  0.254111
2021-09-23 00:22:18.550872 : Epoch  7, Batch    515, Loss  0.771769, Average Loss  0.771116, Time  0.253569
2021-09-23 00:22:18.597969 : Epoch  4, Batch    315, Loss  0.878231, Average Loss  0.870841, Time  0.413723
2021-09-23 00:22:20.518947 : Epoch  7, Batch    516, Loss  0.775152, Average Loss  0.771063, Time  0.326581
2021-09-23 00:22:22.404413 : Epoch  7, Batch    517, Loss  0.772788, Average Loss  0.771031, Time  0.249204
2021-09-23 00:22:23.622741 : Epoch  4, Batch    316, Loss  0.857588, Average Loss  0.870771, Time  0.413432
2021-09-23 00:22:24.288260 : Epoch  7, Batch    518, Loss  0.762435, Average Loss  0.770995, Time  0.248188
2021-09-23 00:22:26.158494 : Epoch  7, Batch    519, Loss  0.786640, Average Loss  0.771060, Time  0.253438
2021-09-23 00:22:28.027670 : Epoch  7, Batch    520, Loss  0.761768, Average Loss  0.771001, Time  0.253210
2021-09-23 00:22:29.891683 : Epoch  7, Batch    521, Loss  0.770316, Average Loss  0.771013, Time  0.250707
2021-09-23 00:22:31.761856 : Epoch  7, Batch    522, Loss  0.770984, Average Loss  0.771010, Time  0.249832
2021-09-23 00:22:33.661034 : Epoch  7, Batch    523, Loss  0.776561, Average Loss  0.770990, Time  0.251541
2021-09-23 00:22:35.609377 : Epoch  7, Batch    524, Loss  0.764552, Average Loss  0.770934, Time  0.326984
2021-09-23 00:22:37.483120 : Epoch  7, Batch    525, Loss  0.765726, Average Loss  0.770870, Time  0.251922
2021-09-23 00:22:39.363087 : Epoch  7, Batch    526, Loss  0.772115, Average Loss  0.770901, Time  0.249125
2021-09-23 00:22:41.248048 : Epoch  7, Batch    527, Loss  0.758638, Average Loss  0.770784, Time  0.249381
2021-09-23 00:22:43.129708 : Epoch  7, Batch    528, Loss  0.782368, Average Loss  0.770803, Time  0.249131
2021-09-23 00:22:45.016359 : Epoch  7, Batch    529, Loss  0.766687, Average Loss  0.770821, Time  0.253843
2021-09-23 00:22:46.912180 : Epoch  7, Batch    530, Loss  0.775342, Average Loss  0.770878, Time  0.249271
2021-09-23 00:22:48.880406 : Epoch  7, Batch    531, Loss  0.758296, Average Loss  0.770835, Time  0.324968
2021-09-23 00:22:50.824906 : Epoch  7, Batch    532, Loss  0.770634, Average Loss  0.770787, Time  0.261734
2021-09-23 00:22:51.095733 : CheckPoint: Validation Loss  0.00031528, Best Loss  0.00030514
2021-09-23 00:22:52.701958 : Epoch  7, Batch    533, Loss  0.774610, Average Loss  0.770805, Time  0.248823
2021-09-23 00:22:53.023875 : Epoch  7, Batch    379, Loss  0.782647, Average Loss  0.771447, Time  0.263432
2021-09-23 00:22:54.580835 : Epoch  7, Batch    534, Loss  0.754381, Average Loss  0.770740, Time  0.250950
2021-09-23 00:22:54.918374 : Epoch  7, Batch    380, Loss  0.774021, Average Loss  0.771465, Time  0.254685
2021-09-23 00:22:56.460061 : Epoch  7, Batch    535, Loss  0.775689, Average Loss  0.770741, Time  0.251793
2021-09-23 00:22:56.830484 : Epoch  7, Batch    381, Loss  0.764904, Average Loss  0.771424, Time  0.251886
2021-09-23 00:22:58.328821 : Epoch  7, Batch    536, Loss  0.784672, Average Loss  0.770888, Time  0.252780
2021-09-23 00:22:58.733153 : Epoch  7, Batch    382, Loss  0.769289, Average Loss  0.771424, Time  0.253020
2021-09-23 00:23:00.229458 : Epoch  7, Batch    537, Loss  0.768337, Average Loss  0.770862, Time  0.251334
2021-09-23 00:23:00.644415 : Epoch  7, Batch    383, Loss  0.776683, Average Loss  0.771402, Time  0.274186
2021-09-23 00:23:02.161063 : Epoch  7, Batch    538, Loss  0.767484, Average Loss  0.770894, Time  0.250738
2021-09-23 00:23:02.546984 : Epoch  7, Batch    384, Loss  0.773540, Average Loss  0.771463, Time  0.256724
2021-09-23 00:23:04.034471 : Epoch  7, Batch    539, Loss  0.774419, Average Loss  0.770918, Time  0.250204
2021-09-23 00:23:04.478555 : Epoch  7, Batch    385, Loss  0.768807, Average Loss  0.771491, Time  0.253611
2021-09-23 00:23:05.921924 : Epoch  7, Batch    540, Loss  0.756770, Average Loss  0.770864, Time  0.255209
2021-09-23 00:23:06.377267 : Epoch  7, Batch    386, Loss  0.778399, Average Loss  0.771528, Time  0.254621
2021-09-23 00:23:07.798869 : Epoch  7, Batch    541, Loss  0.780454, Average Loss  0.770913, Time  0.255337
2021-09-23 00:23:08.268246 : Epoch  7, Batch    387, Loss  0.756303, Average Loss  0.771474, Time  0.253673
2021-09-23 00:23:09.684323 : Epoch  7, Batch    542, Loss  0.782118, Average Loss  0.771033, Time  0.252876
2021-09-23 00:23:10.175873 : Epoch  7, Batch    388, Loss  0.765480, Average Loss  0.771439, Time  0.256667
2021-09-23 00:23:11.564211 : Epoch  7, Batch    543, Loss  0.760669, Average Loss  0.770903, Time  0.256683
2021-09-23 00:23:12.074965 : Epoch  7, Batch    389, Loss  0.767759, Average Loss  0.771460, Time  0.253283
2021-09-23 00:23:13.438936 : Epoch  7, Batch    544, Loss  0.761763, Average Loss  0.770873, Time  0.250688
2021-09-23 00:23:13.975940 : Epoch  7, Batch    390, Loss  0.780539, Average Loss  0.771587, Time  0.254104
2021-09-23 00:23:15.343286 : Epoch  7, Batch    545, Loss  0.761533, Average Loss  0.770807, Time  0.250523
2021-09-23 00:23:15.896249 : Epoch  7, Batch    391, Loss  0.764489, Average Loss  0.771556, Time  0.259220
2021-09-23 00:23:17.205401 : Epoch  7, Batch    546, Loss  0.770759, Average Loss  0.770810, Time  0.250174
2021-09-23 00:23:17.828820 : Epoch  7, Batch    392, Loss  0.783421, Average Loss  0.771608, Time  0.269406
2021-09-23 00:23:19.085879 : Epoch  7, Batch    547, Loss  0.768254, Average Loss  0.770730, Time  0.250381
2021-09-23 00:23:19.725548 : Epoch  7, Batch    393, Loss  0.771451, Average Loss  0.771630, Time  0.252066
2021-09-23 00:23:20.973863 : Epoch  7, Batch    548, Loss  0.777305, Average Loss  0.770744, Time  0.250915
2021-09-23 00:23:21.617478 : Epoch  7, Batch    394, Loss  0.769309, Average Loss  0.771629, Time  0.255507
2021-09-23 00:23:23.529205 : Epoch  7, Batch    395, Loss  0.773111, Average Loss  0.771653, Time  0.257030
2021-09-23 00:23:24.658828 : Epoch  7, Batch    549, Loss  0.784817, Average Loss  0.770778, Time  0.248939
2021-09-23 00:23:25.426622 : Epoch  7, Batch    396, Loss  0.766287, Average Loss  0.771650, Time  0.254793
2021-09-23 00:23:26.540737 : Epoch  7, Batch    550, Loss  0.767497, Average Loss  0.770844, Time  0.251902
2021-09-23 00:23:27.358304 : Epoch  7, Batch    397, Loss  0.771154, Average Loss  0.771623, Time  0.257518
2021-09-23 00:23:28.432480 : Epoch  7, Batch    551, Loss  0.759512, Average Loss  0.770769, Time  0.247967
2021-09-23 00:23:29.255305 : Epoch  7, Batch    398, Loss  0.766696, Average Loss  0.771541, Time  0.252179
2021-09-23 00:23:30.325675 : Epoch  7, Batch    552, Loss  0.769979, Average Loss  0.770786, Time  0.248775
2021-09-23 00:23:31.173391 : Epoch  7, Batch    399, Loss  0.780209, Average Loss  0.771595, Time  0.254647
2021-09-23 00:23:32.218327 : Epoch  7, Batch    553, Loss  0.758911, Average Loss  0.770787, Time  0.248843
2021-09-23 00:23:33.087405 : Epoch  7, Batch    400, Loss  0.765762, Average Loss  0.771569, Time  0.267969
2021-09-23 00:23:34.109520 : Epoch  7, Batch    554, Loss  0.766891, Average Loss  0.770777, Time  0.257613
2021-09-23 00:23:34.998004 : Epoch  7, Batch    401, Loss  0.779224, Average Loss  0.771606, Time  0.253775
2021-09-23 00:23:35.995171 : Epoch  7, Batch    555, Loss  0.771987, Average Loss  0.770757, Time  0.249440
2021-09-23 00:23:36.919657 : Epoch  7, Batch    402, Loss  0.765039, Average Loss  0.771585, Time  0.253397
2021-09-23 00:23:37.873210 : Epoch  7, Batch    556, Loss  0.768105, Average Loss  0.770710, Time  0.250699
2021-09-23 00:23:38.827800 : Epoch  7, Batch    403, Loss  0.781530, Average Loss  0.771630, Time  0.251602
2021-09-23 00:23:39.746629 : Epoch  7, Batch    557, Loss  0.775962, Average Loss  0.770802, Time  0.250812
2021-09-23 00:23:40.749953 : Epoch  7, Batch    404, Loss  0.773882, Average Loss  0.771667, Time  0.251779
2021-09-23 00:23:41.618892 : Epoch  7, Batch    558, Loss  0.782384, Average Loss  0.770894, Time  0.252920
2021-09-23 00:23:42.683998 : Epoch  7, Batch    405, Loss  0.786752, Average Loss  0.771774, Time  0.251582
2021-09-23 00:23:43.493902 : Epoch  7, Batch    559, Loss  0.773355, Average Loss  0.770958, Time  0.248310
2021-09-23 00:23:44.586076 : Epoch  7, Batch    406, Loss  0.773263, Average Loss  0.771780, Time  0.251250
2021-09-23 00:23:45.365700 : Epoch  7, Batch    560, Loss  0.776058, Average Loss  0.770978, Time  0.251236
2021-09-23 00:23:46.490981 : Epoch  7, Batch    407, Loss  0.769049, Average Loss  0.771719, Time  0.267672
2021-09-23 00:23:47.248418 : Epoch  7, Batch    561, Loss  0.772224, Average Loss  0.770975, Time  0.250454
2021-09-23 00:23:48.447306 : Epoch  7, Batch    408, Loss  0.765684, Average Loss  0.771692, Time  0.260457
2021-09-23 00:23:49.232721 : Epoch  7, Batch    562, Loss  0.768221, Average Loss  0.771046, Time  0.248851
2021-09-23 00:23:50.365272 : Epoch  7, Batch    409, Loss  0.772404, Average Loss  0.771713, Time  0.255638
2021-09-23 00:23:51.117855 : Epoch  7, Batch    563, Loss  0.769303, Average Loss  0.771041, Time  0.252182
2021-09-23 00:23:52.280657 : Epoch  7, Batch    410, Loss  0.787538, Average Loss  0.771784, Time  0.253356
2021-09-23 00:23:53.025001 : Epoch  7, Batch    564, Loss  0.770478, Average Loss  0.771062, Time  0.249017
2021-09-23 00:23:54.182835 : Epoch  7, Batch    411, Loss  0.765824, Average Loss  0.771803, Time  0.253025
2021-09-23 00:23:54.892932 : Epoch  7, Batch    565, Loss  0.769804, Average Loss  0.771045, Time  0.250922
2021-09-23 00:23:56.095528 : Epoch  7, Batch    412, Loss  0.774139, Average Loss  0.771779, Time  0.258859
2021-09-23 00:23:56.775745 : Epoch  7, Batch    566, Loss  0.762303, Average Loss  0.771023, Time  0.252360
2021-09-23 00:23:58.046952 : Epoch  7, Batch    413, Loss  0.770367, Average Loss  0.771806, Time  0.265361
2021-09-23 00:23:58.661957 : Epoch  7, Batch    567, Loss  0.777644, Average Loss  0.771028, Time  0.254046
2021-09-23 00:23:59.970276 : Epoch  7, Batch    414, Loss  0.759828, Average Loss  0.771728, Time  0.251725
2021-09-23 00:24:00.545969 : Epoch  7, Batch    568, Loss  0.767757, Average Loss  0.771000, Time  0.247990
2021-09-23 00:24:01.900764 : Epoch  7, Batch    415, Loss  0.780638, Average Loss  0.771818, Time  0.253097
2021-09-23 00:24:02.435761 : Epoch  7, Batch    569, Loss  0.776215, Average Loss  0.771065, Time  0.253804
2021-09-23 00:24:03.810268 : Epoch  7, Batch    416, Loss  0.776377, Average Loss  0.771761, Time  0.256482
2021-09-23 00:24:04.335335 : Epoch  7, Batch    570, Loss  0.770255, Average Loss  0.771049, Time  0.251300
2021-09-23 00:24:05.734896 : Epoch  7, Batch    417, Loss  0.777909, Average Loss  0.771822, Time  0.251397
2021-09-23 00:24:06.226165 : Epoch  7, Batch    571, Loss  0.777078, Average Loss  0.771081, Time  0.255527
2021-09-23 00:24:07.651578 : Epoch  7, Batch    418, Loss  0.769656, Average Loss  0.771762, Time  0.253244
2021-09-23 00:24:08.116443 : Epoch  7, Batch    572, Loss  0.776634, Average Loss  0.771119, Time  0.249095
2021-09-23 00:24:09.545095 : Epoch  7, Batch    419, Loss  0.778560, Average Loss  0.771836, Time  0.251452
2021-09-23 00:24:09.993723 : Epoch  7, Batch    573, Loss  0.769635, Average Loss  0.771095, Time  0.250088
2021-09-23 00:24:11.440821 : Epoch  7, Batch    420, Loss  0.769124, Average Loss  0.771803, Time  0.252706
2021-09-23 00:24:11.868203 : Epoch  7, Batch    574, Loss  0.767961, Average Loss  0.771119, Time  0.248572
2021-09-23 00:24:13.352531 : Epoch  7, Batch    421, Loss  0.771221, Average Loss  0.771757, Time  0.251100
2021-09-23 00:24:13.765855 : Epoch  7, Batch    575, Loss  0.763043, Average Loss  0.771038, Time  0.262523
2021-09-23 00:24:15.275577 : Epoch  7, Batch    422, Loss  0.763391, Average Loss  0.771735, Time  0.253344
2021-09-23 00:24:15.647591 : Epoch  7, Batch    576, Loss  0.773184, Average Loss  0.771006, Time  0.261727
2021-09-23 00:24:17.181827 : Epoch  7, Batch    423, Loss  0.773845, Average Loss  0.771796, Time  0.254824
2021-09-23 00:24:17.520671 : Epoch  7, Batch    577, Loss  0.767640, Average Loss  0.770961, Time  0.252395
2021-09-23 00:24:19.083090 : Epoch  7, Batch    424, Loss  0.766991, Average Loss  0.771683, Time  0.252361
2021-09-23 00:24:19.387293 : Epoch  7, Batch    578, Loss  0.767887, Average Loss  0.770938, Time  0.250532
2021-09-23 00:24:20.998992 : Epoch  7, Batch    425, Loss  0.760791, Average Loss  0.771635, Time  0.253130
2021-09-23 00:24:22.989557 : Epoch  7, Batch    426, Loss  0.769556, Average Loss  0.771599, Time  0.334936
2021-09-23 00:24:24.889996 : Epoch  7, Batch    427, Loss  0.772903, Average Loss  0.771606, Time  0.252389
2021-09-23 00:24:26.803877 : Epoch  7, Batch    428, Loss  0.774386, Average Loss  0.771667, Time  0.253907
2021-09-23 00:24:28.723737 : Epoch  7, Batch    429, Loss  0.775096, Average Loss  0.771663, Time  0.254663
2021-09-23 00:24:30.657590 : Epoch  7, Batch    430, Loss  0.772077, Average Loss  0.771668, Time  0.257556
2021-09-23 00:24:32.577278 : Epoch  7, Batch    431, Loss  0.779525, Average Loss  0.771784, Time  0.256838
2021-09-23 00:24:34.570062 : Epoch  7, Batch    432, Loss  0.771237, Average Loss  0.771759, Time  0.326177
2021-09-23 00:24:36.471950 : Epoch  7, Batch    433, Loss  0.770839, Average Loss  0.771750, Time  0.251143
2021-09-23 00:24:38.386388 : Epoch  7, Batch    434, Loss  0.760161, Average Loss  0.771631, Time  0.251820
2021-09-23 00:24:40.297524 : Epoch  7, Batch    435, Loss  0.768552, Average Loss  0.771585, Time  0.251322
2021-09-23 00:24:42.200995 : Epoch  7, Batch    436, Loss  0.783314, Average Loss  0.771641, Time  0.253457
2021-09-23 00:24:44.097800 : Epoch  7, Batch    437, Loss  0.760313, Average Loss  0.771558, Time  0.253984
2021-09-23 00:24:46.025776 : Epoch  7, Batch    438, Loss  0.768878, Average Loss  0.771521, Time  0.260016
2021-09-23 00:24:48.030494 : Epoch  7, Batch    439, Loss  0.779283, Average Loss  0.771518, Time  0.356329
2021-09-23 00:24:49.952296 : Epoch  7, Batch    440, Loss  0.774686, Average Loss  0.771575, Time  0.253198
2021-09-23 00:24:51.853980 : Epoch  7, Batch    441, Loss  0.773539, Average Loss  0.771598, Time  0.252172
2021-09-23 00:24:53.782259 : Epoch  7, Batch    442, Loss  0.770547, Average Loss  0.771588, Time  0.253214
2021-09-23 00:24:55.701365 : Epoch  7, Batch    443, Loss  0.780903, Average Loss  0.771633, Time  0.254320
2021-09-23 00:24:57.615130 : Epoch  7, Batch    444, Loss  0.768766, Average Loss  0.771584, Time  0.258845
2021-09-23 00:24:59.606133 : Epoch  7, Batch    445, Loss  0.762825, Average Loss  0.771527, Time  0.330979
2021-09-23 00:25:01.497024 : Epoch  7, Batch    446, Loss  0.778630, Average Loss  0.771551, Time  0.253897
2021-09-23 00:25:03.392519 : Epoch  7, Batch    447, Loss  0.767605, Average Loss  0.771580, Time  0.251294
2021-09-23 00:25:05.320287 : Epoch  7, Batch    448, Loss  0.772328, Average Loss  0.771610, Time  0.252601
2021-09-23 00:25:08.981981 : Epoch  7, Batch    449, Loss  0.770120, Average Loss  0.771592, Time  0.254146
2021-09-23 00:25:10.883218 : Epoch  7, Batch    450, Loss  0.771038, Average Loss  0.771561, Time  0.253284
2021-09-23 00:25:12.865619 : Epoch  7, Batch    451, Loss  0.777818, Average Loss  0.771614, Time  0.327220
2021-09-23 00:25:14.787380 : Epoch  7, Batch    452, Loss  0.773334, Average Loss  0.771631, Time  0.264038
2021-09-23 00:25:16.688606 : Epoch  7, Batch    453, Loss  0.764840, Average Loss  0.771587, Time  0.254101
2021-09-23 00:25:18.582088 : Epoch  7, Batch    454, Loss  0.774538, Average Loss  0.771614, Time  0.251628
2021-09-23 00:25:20.525926 : Epoch  7, Batch    455, Loss  0.768196, Average Loss  0.771587, Time  0.251686
2021-09-23 00:25:22.428093 : Epoch  7, Batch    456, Loss  0.778520, Average Loss  0.771631, Time  0.253121
2021-09-23 00:25:24.421967 : Epoch  7, Batch    457, Loss  0.763208, Average Loss  0.771636, Time  0.330749
2021-09-23 00:25:26.332269 : Epoch  7, Batch    458, Loss  0.763883, Average Loss  0.771571, Time  0.251586
2021-09-23 00:25:28.248709 : Epoch  7, Batch    459, Loss  0.777885, Average Loss  0.771681, Time  0.255518
2021-09-23 00:25:29.887807 : CheckPoint: Validation Loss  0.00032130, Best Loss  0.00030606
2021-09-23 00:25:30.149992 : Epoch  7, Batch    460, Loss  0.752018, Average Loss  0.771594, Time  0.254744
2021-09-23 00:25:31.796191 : Epoch  7, Batch    579, Loss  0.777236, Average Loss  0.770953, Time  0.248530
2021-09-23 00:25:32.053315 : Epoch  7, Batch    461, Loss  0.761676, Average Loss  0.771551, Time  0.251369
2021-09-23 00:25:33.743050 : Epoch  7, Batch    580, Loss  0.772908, Average Loss  0.770915, Time  0.250766
2021-09-23 00:25:33.972060 : Epoch  7, Batch    462, Loss  0.776915, Average Loss  0.771566, Time  0.261887
2021-09-23 00:25:35.676814 : Epoch  7, Batch    581, Loss  0.766668, Average Loss  0.770884, Time  0.267498
2021-09-23 00:25:35.894251 : Epoch  7, Batch    463, Loss  0.763497, Average Loss  0.771502, Time  0.270715
2021-09-23 00:25:37.556243 : Epoch  7, Batch    582, Loss  0.773925, Average Loss  0.770947, Time  0.251107
2021-09-23 00:25:37.790210 : Epoch  7, Batch    464, Loss  0.778808, Average Loss  0.771523, Time  0.257536
2021-09-23 00:25:39.452862 : Epoch  7, Batch    583, Loss  0.779030, Average Loss  0.770915, Time  0.251394
2021-09-23 00:25:39.687132 : Epoch  7, Batch    465, Loss  0.764449, Average Loss  0.771461, Time  0.259978
2021-09-23 00:25:41.337089 : Epoch  7, Batch    584, Loss  0.775348, Average Loss  0.770909, Time  0.253239
2021-09-23 00:25:41.591602 : Epoch  7, Batch    466, Loss  0.773001, Average Loss  0.771473, Time  0.256291
2021-09-23 00:25:43.223340 : Epoch  7, Batch    585, Loss  0.775146, Average Loss  0.770882, Time  0.250128
2021-09-23 00:25:43.484317 : Epoch  7, Batch    467, Loss  0.768889, Average Loss  0.771436, Time  0.255782
2021-09-23 00:25:45.081889 : Epoch  7, Batch    586, Loss  0.771671, Average Loss  0.770854, Time  0.250115
2021-09-23 00:25:45.390219 : Epoch  7, Batch    468, Loss  0.768630, Average Loss  0.771441, Time  0.251343
2021-09-23 00:25:46.938519 : Epoch  7, Batch    587, Loss  0.766291, Average Loss  0.770799, Time  0.248759
2021-09-23 00:25:47.290277 : Epoch  7, Batch    469, Loss  0.767653, Average Loss  0.771455, Time  0.258987
2021-09-23 00:25:48.832808 : Epoch  7, Batch    588, Loss  0.775547, Average Loss  0.770798, Time  0.254344
2021-09-23 00:25:49.200257 : Epoch  7, Batch    470, Loss  0.775071, Average Loss  0.771449, Time  0.251832
2021-09-23 00:25:50.698302 : Epoch  7, Batch    589, Loss  0.766851, Average Loss  0.770763, Time  0.248610
2021-09-23 00:25:51.081225 : Epoch  7, Batch    471, Loss  0.770140, Average Loss  0.771423, Time  0.252828
2021-09-23 00:25:52.581299 : Epoch  7, Batch    590, Loss  0.770185, Average Loss  0.770752, Time  0.255269
2021-09-23 00:25:52.984650 : Epoch  7, Batch    472, Loss  0.771660, Average Loss  0.771475, Time  0.255057
2021-09-23 00:25:54.452887 : Epoch  7, Batch    591, Loss  0.780070, Average Loss  0.770824, Time  0.249904
2021-09-23 00:25:54.889934 : Epoch  7, Batch    473, Loss  0.781876, Average Loss  0.771473, Time  0.256189
2021-09-23 00:25:56.342449 : Epoch  7, Batch    592, Loss  0.771472, Average Loss  0.770834, Time  0.247930
2021-09-23 00:25:56.786166 : Epoch  7, Batch    474, Loss  0.781405, Average Loss  0.771546, Time  0.256934
2021-09-23 00:25:58.221922 : Epoch  7, Batch    593, Loss  0.773410, Average Loss  0.770786, Time  0.248620
2021-09-23 00:25:58.704799 : Epoch  7, Batch    475, Loss  0.770777, Average Loss  0.771543, Time  0.258297
2021-09-23 00:26:00.129418 : Epoch  7, Batch    594, Loss  0.781693, Average Loss  0.770821, Time  0.256485
2021-09-23 00:26:00.601259 : Epoch  7, Batch    476, Loss  0.780001, Average Loss  0.771567, Time  0.256307
2021-09-23 00:26:02.028750 : Epoch  7, Batch    595, Loss  0.774670, Average Loss  0.770854, Time  0.287905
2021-09-23 00:26:02.577617 : Epoch  7, Batch    477, Loss  0.790336, Average Loss  0.771649, Time  0.257173
2021-09-23 00:26:03.893432 : Epoch  7, Batch    596, Loss  0.786960, Average Loss  0.770966, Time  0.248743
2021-09-23 00:26:04.485317 : Epoch  7, Batch    478, Loss  0.758102, Average Loss  0.771604, Time  0.253166
2021-09-23 00:26:05.820894 : Epoch  7, Batch    597, Loss  0.767894, Average Loss  0.770936, Time  0.252434
2021-09-23 00:26:07.706512 : Epoch  7, Batch    598, Loss  0.761156, Average Loss  0.770897, Time  0.250071
2021-09-23 00:26:09.604409 : Epoch  7, Batch    599, Loss  0.764673, Average Loss  0.770875, Time  0.252500
2021-09-23 00:26:11.564800 : Epoch  7, Batch    600, Loss  0.756415, Average Loss  0.770781, Time  0.327489
2021-09-23 00:26:13.454473 : Epoch  7, Batch    601, Loss  0.761665, Average Loss  0.770712, Time  0.250096
2021-09-23 00:26:15.320265 : Epoch  7, Batch    602, Loss  0.768157, Average Loss  0.770715, Time  0.253183
2021-09-23 00:26:17.201318 : Epoch  7, Batch    603, Loss  0.775189, Average Loss  0.770740, Time  0.249285
2021-09-23 00:26:19.065378 : Epoch  7, Batch    604, Loss  0.767527, Average Loss  0.770738, Time  0.248648
2021-09-23 00:26:20.955299 : Epoch  7, Batch    605, Loss  0.771564, Average Loss  0.770708, Time  0.256880
2021-09-23 00:26:21.372752 : CheckPoint: Validation Loss  0.00015193, Best Loss  0.00014923
2021-09-23 00:26:22.868259 : Epoch  7, Batch    606, Loss  0.770422, Average Loss  0.770801, Time  0.252583
2021-09-23 00:26:24.813881 : Epoch  7, Batch    607, Loss  0.769801, Average Loss  0.770859, Time  0.324383
2021-09-23 00:26:26.378096 : Epoch  4, Batch    317, Loss  0.873558, Average Loss  0.870786, Time  0.431753
2021-09-23 00:26:26.678504 : Epoch  7, Batch    608, Loss  0.769736, Average Loss  0.770888, Time  0.250359
2021-09-23 00:26:28.544851 : Epoch  7, Batch    609, Loss  0.768367, Average Loss  0.770922, Time  0.247967
2021-09-23 00:26:30.426745 : Epoch  7, Batch    610, Loss  0.763572, Average Loss  0.770930, Time  0.248281
2021-09-23 00:26:31.370940 : Epoch  4, Batch    318, Loss  0.876079, Average Loss  0.870844, Time  0.413452
2021-09-23 00:26:32.358893 : Epoch  7, Batch    611, Loss  0.782927, Average Loss  0.771026, Time  0.252241
2021-09-23 00:26:34.220728 : Epoch  7, Batch    612, Loss  0.766912, Average Loss  0.770950, Time  0.253464
2021-09-23 00:26:36.088893 : Epoch  7, Batch    613, Loss  0.772373, Average Loss  0.770989, Time  0.249782
2021-09-23 00:26:36.346003 : Epoch  4, Batch    319, Loss  0.871899, Average Loss  0.870895, Time  0.413708
2021-09-23 00:26:37.964176 : Epoch  7, Batch    614, Loss  0.771962, Average Loss  0.771000, Time  0.250389
2021-09-23 00:26:39.955839 : Epoch  7, Batch    615, Loss  0.764363, Average Loss  0.770981, Time  0.328195
2021-09-23 00:26:41.299980 : Epoch  4, Batch    320, Loss  0.858989, Average Loss  0.870855, Time  0.413019
2021-09-23 00:26:41.834331 : Epoch  7, Batch    616, Loss  0.765586, Average Loss  0.770912, Time  0.251452
2021-09-23 00:26:43.732068 : Epoch  7, Batch    617, Loss  0.768843, Average Loss  0.770897, Time  0.249406
2021-09-23 00:26:45.610894 : Epoch  7, Batch    618, Loss  0.761534, Average Loss  0.770891, Time  0.249751
2021-09-23 00:26:46.250352 : Epoch  4, Batch    321, Loss  0.876030, Average Loss  0.870844, Time  0.414339
2021-09-23 00:26:47.503980 : Epoch  7, Batch    619, Loss  0.766946, Average Loss  0.770848, Time  0.252682
2021-09-23 00:26:49.380948 : Epoch  7, Batch    620, Loss  0.764638, Average Loss  0.770807, Time  0.255316
2021-09-23 00:26:51.221725 : Epoch  4, Batch    322, Loss  0.872064, Average Loss  0.870878, Time  0.414019
2021-09-23 00:26:51.239166 : Epoch  7, Batch    621, Loss  0.775893, Average Loss  0.770872, Time  0.248475
2021-09-23 00:26:53.112787 : Epoch  7, Batch    622, Loss  0.778830, Average Loss  0.770921, Time  0.247629
2021-09-23 00:26:55.011829 : Epoch  7, Batch    623, Loss  0.769625, Average Loss  0.770918, Time  0.250981
2021-09-23 00:26:56.197006 : Epoch  4, Batch    323, Loss  0.861022, Average Loss  0.870880, Time  0.413878
2021-09-23 00:26:56.956874 : Epoch  7, Batch    624, Loss  0.762994, Average Loss  0.770918, Time  0.324917
2021-09-23 00:26:58.843827 : Epoch  7, Batch    625, Loss  0.770746, Average Loss  0.770855, Time  0.259631
2021-09-23 00:27:00.705133 : Epoch  7, Batch    626, Loss  0.775037, Average Loss  0.770832, Time  0.253909
2021-09-23 00:27:01.391789 : Epoch  4, Batch    324, Loss  0.887224, Average Loss  0.870952, Time  0.413758
2021-09-23 00:27:02.578189 : Epoch  7, Batch    627, Loss  0.754908, Average Loss  0.770737, Time  0.251392
2021-09-23 00:27:04.442723 : Epoch  7, Batch    628, Loss  0.757864, Average Loss  0.770653, Time  0.248357
2021-09-23 00:27:06.335653 : Epoch  7, Batch    629, Loss  0.765770, Average Loss  0.770583, Time  0.248337
2021-09-23 00:27:06.389770 : Epoch  4, Batch    325, Loss  0.887720, Average Loss  0.870990, Time  0.415124
2021-09-23 00:27:08.228813 : Epoch  7, Batch    630, Loss  0.777571, Average Loss  0.770564, Time  0.250901
2021-09-23 00:27:10.196463 : Epoch  7, Batch    631, Loss  0.783960, Average Loss  0.770639, Time  0.312740
2021-09-23 00:27:11.390767 : Epoch  4, Batch    326, Loss  0.883248, Average Loss  0.871103, Time  0.450876
2021-09-23 00:27:12.099956 : Epoch  7, Batch    632, Loss  0.772388, Average Loss  0.770611, Time  0.276267
2021-09-23 00:27:13.974492 : Epoch  7, Batch    633, Loss  0.772029, Average Loss  0.770622, Time  0.256627
2021-09-23 00:27:15.816770 : CheckPoint: Validation Loss  0.00032628, Best Loss  0.00030514
2021-09-23 00:27:15.881219 : Epoch  7, Batch    634, Loss  0.771519, Average Loss  0.770636, Time  0.286134
2021-09-23 00:27:16.348948 : Epoch  4, Batch    327, Loss  0.870236, Average Loss  0.871037, Time  0.413025
2021-09-23 00:27:17.967813 : Epoch  7, Batch    479, Loss  0.764708, Average Loss  0.771556, Time  0.503062
2021-09-23 00:27:18.004291 : Epoch  7, Batch    635, Loss  0.766423, Average Loss  0.770655, Time  0.482129
2021-09-23 00:27:20.168708 : Epoch  7, Batch    636, Loss  0.771549, Average Loss  0.770681, Time  0.513731
2021-09-23 00:27:20.201849 : Epoch  7, Batch    480, Loss  0.773732, Average Loss  0.771579, Time  0.503904
2021-09-23 00:27:21.299102 : Epoch  4, Batch    328, Loss  0.864876, Average Loss  0.870979, Time  0.413164
2021-09-23 00:27:22.339390 : Epoch  7, Batch    637, Loss  0.767553, Average Loss  0.770666, Time  0.508124
2021-09-23 00:27:22.374916 : Epoch  7, Batch    481, Loss  0.758104, Average Loss  0.771483, Time  0.488732
2021-09-23 00:27:24.470420 : Epoch  7, Batch    638, Loss  0.767062, Average Loss  0.770654, Time  0.498086
2021-09-23 00:27:24.506133 : Epoch  7, Batch    482, Loss  0.779068, Average Loss  0.771580, Time  0.461182
2021-09-23 00:27:26.276735 : Epoch  4, Batch    329, Loss  0.873590, Average Loss  0.870992, Time  0.413443
2021-09-23 00:27:26.568913 : Epoch  7, Batch    639, Loss  0.765590, Average Loss  0.770578, Time  0.468288
2021-09-23 00:27:26.620247 : Epoch  7, Batch    483, Loss  0.788709, Average Loss  0.771623, Time  0.436791
2021-09-23 00:27:28.669921 : Epoch  7, Batch    640, Loss  0.758137, Average Loss  0.770549, Time  0.484232
2021-09-23 00:27:28.705808 : Epoch  7, Batch    484, Loss  0.753918, Average Loss  0.771588, Time  0.454105
2021-09-23 00:27:30.778915 : Epoch  7, Batch    641, Loss  0.775992, Average Loss  0.770575, Time  0.486903
2021-09-23 00:27:30.833836 : Epoch  7, Batch    485, Loss  0.765531, Average Loss  0.771502, Time  0.450711
2021-09-23 00:27:31.243727 : Epoch  4, Batch    330, Loss  0.876952, Average Loss  0.871001, Time  0.413023
2021-09-23 00:27:32.915963 : Epoch  7, Batch    642, Loss  0.774326, Average Loss  0.770537, Time  0.491994
2021-09-23 00:27:32.949890 : Epoch  7, Batch    486, Loss  0.774715, Average Loss  0.771469, Time  0.461135
2021-09-23 00:27:35.049093 : Epoch  7, Batch    643, Loss  0.774972, Average Loss  0.770565, Time  0.505790
2021-09-23 00:27:35.098288 : Epoch  7, Batch    487, Loss  0.772286, Average Loss  0.771467, Time  0.455037
2021-09-23 00:27:36.205024 : Epoch  4, Batch    331, Loss  0.865069, Average Loss  0.871054, Time  0.413382
2021-09-23 00:27:37.232601 : Epoch  7, Batch    644, Loss  0.762257, Average Loss  0.770488, Time  0.508362
2021-09-23 00:27:37.272061 : Epoch  7, Batch    488, Loss  0.766433, Average Loss  0.771534, Time  0.495001
2021-09-23 00:27:39.367038 : Epoch  7, Batch    645, Loss  0.761229, Average Loss  0.770455, Time  0.490104
2021-09-23 00:27:39.408165 : Epoch  7, Batch    489, Loss  0.768695, Average Loss  0.771515, Time  0.462912
2021-09-23 00:27:41.179709 : Epoch  4, Batch    332, Loss  0.879489, Average Loss  0.871078, Time  0.413583
2021-09-23 00:27:41.492183 : Epoch  7, Batch    646, Loss  0.767055, Average Loss  0.770415, Time  0.487603
2021-09-23 00:27:41.536376 : Epoch  7, Batch    490, Loss  0.766359, Average Loss  0.771429, Time  0.454955
2021-09-23 00:27:43.582929 : Epoch  7, Batch    647, Loss  0.771024, Average Loss  0.770396, Time  0.454861
2021-09-23 00:27:43.646601 : Epoch  7, Batch    491, Loss  0.787685, Average Loss  0.771516, Time  0.423681
2021-09-23 00:27:45.724398 : Epoch  7, Batch    648, Loss  0.760105, Average Loss  0.770282, Time  0.484866
2021-09-23 00:27:45.763032 : Epoch  7, Batch    492, Loss  0.759916, Average Loss  0.771457, Time  0.457622
2021-09-23 00:27:46.145991 : Epoch  4, Batch    333, Loss  0.890830, Average Loss  0.871139, Time  0.413373
2021-09-23 00:27:47.707425 : Epoch  7, Batch    493, Loss  0.764473, Average Loss  0.771378, Time  0.254484
2021-09-23 00:27:49.391757 : Epoch  7, Batch    649, Loss  0.775334, Average Loss  0.770299, Time  0.248286
2021-09-23 00:27:49.622853 : Epoch  7, Batch    494, Loss  0.766677, Average Loss  0.771341, Time  0.268538
2021-09-23 00:27:51.118781 : Epoch  4, Batch    334, Loss  0.869373, Average Loss  0.871119, Time  0.413449
2021-09-23 00:27:51.267008 : Epoch  7, Batch    650, Loss  0.769812, Average Loss  0.770346, Time  0.251899
2021-09-23 00:27:51.524859 : Epoch  7, Batch    495, Loss  0.772919, Average Loss  0.771351, Time  0.251611
2021-09-23 00:27:53.182959 : Epoch  7, Batch    651, Loss  0.772808, Average Loss  0.770375, Time  0.250849
2021-09-23 00:27:53.429750 : Epoch  7, Batch    496, Loss  0.756276, Average Loss  0.771308, Time  0.254337
2021-09-23 00:27:55.059152 : Epoch  7, Batch    652, Loss  0.766982, Average Loss  0.770395, Time  0.250396
2021-09-23 00:27:55.342244 : Epoch  7, Batch    497, Loss  0.769528, Average Loss  0.771278, Time  0.253812
2021-09-23 00:27:56.106028 : Epoch  4, Batch    335, Loss  0.881065, Average Loss  0.871158, Time  0.414214
2021-09-23 00:27:56.940625 : Epoch  7, Batch    653, Loss  0.759897, Average Loss  0.770326, Time  0.252059
2021-09-23 00:27:57.244335 : Epoch  7, Batch    498, Loss  0.775823, Average Loss  0.771286, Time  0.257012
2021-09-23 00:27:58.827764 : Epoch  7, Batch    654, Loss  0.762200, Average Loss  0.770269, Time  0.254689
2021-09-23 00:27:59.145239 : Epoch  7, Batch    499, Loss  0.772097, Average Loss  0.771305, Time  0.251823
2021-09-23 00:28:00.741801 : Epoch  7, Batch    655, Loss  0.768402, Average Loss  0.770271, Time  0.251054
2021-09-23 00:28:01.039189 : Epoch  7, Batch    500, Loss  0.773232, Average Loss  0.771385, Time  0.251559
2021-09-23 00:28:01.120843 : Epoch  4, Batch    336, Loss  0.867775, Average Loss  0.871134, Time  0.449483
2021-09-23 00:28:02.629914 : Epoch  7, Batch    656, Loss  0.765681, Average Loss  0.770256, Time  0.252856
2021-09-23 00:28:02.940851 : Epoch  7, Batch    501, Loss  0.782160, Average Loss  0.771408, Time  0.252849
2021-09-23 00:28:04.508389 : Epoch  7, Batch    657, Loss  0.781008, Average Loss  0.770330, Time  0.249555
2021-09-23 00:28:04.836373 : Epoch  7, Batch    502, Loss  0.781834, Average Loss  0.771498, Time  0.254158
2021-09-23 00:28:06.141048 : Epoch  4, Batch    337, Loss  0.865953, Average Loss  0.871078, Time  0.413396
2021-09-23 00:28:06.378800 : Epoch  7, Batch    658, Loss  0.771841, Average Loss  0.770293, Time  0.253170
2021-09-23 00:28:06.737246 : Epoch  7, Batch    503, Loss  0.768721, Average Loss  0.771497, Time  0.251781
2021-09-23 00:28:08.232759 : Epoch  7, Batch    659, Loss  0.767547, Average Loss  0.770267, Time  0.250689
2021-09-23 00:28:08.645165 : Epoch  7, Batch    504, Loss  0.761965, Average Loss  0.771476, Time  0.251469
2021-09-23 00:28:10.105649 : Epoch  7, Batch    660, Loss  0.767542, Average Loss  0.770267, Time  0.248688
2021-09-23 00:28:10.576435 : Epoch  7, Batch    505, Loss  0.771533, Average Loss  0.771414, Time  0.256266
2021-09-23 00:28:11.113774 : Epoch  4, Batch    338, Loss  0.872124, Average Loss  0.871117, Time  0.414254
2021-09-23 00:28:11.989804 : Epoch  7, Batch    661, Loss  0.765258, Average Loss  0.770226, Time  0.250426
2021-09-23 00:28:12.457057 : Epoch  7, Batch    506, Loss  0.767187, Average Loss  0.771444, Time  0.257731
2021-09-23 00:28:13.869210 : Epoch  7, Batch    662, Loss  0.765871, Average Loss  0.770188, Time  0.254157
2021-09-23 00:28:14.353367 : Epoch  7, Batch    507, Loss  0.773241, Average Loss  0.771418, Time  0.264787
2021-09-23 00:28:15.760258 : Epoch  7, Batch    663, Loss  0.775051, Average Loss  0.770224, Time  0.248455
2021-09-23 00:28:16.106764 : Epoch  4, Batch    339, Loss  0.883265, Average Loss  0.871095, Time  0.413658
2021-09-23 00:28:16.248771 : Epoch  7, Batch    508, Loss  0.767408, Average Loss  0.771402, Time  0.252680
2021-09-23 00:28:17.651220 : Epoch  7, Batch    664, Loss  0.774174, Average Loss  0.770216, Time  0.250277
2021-09-23 00:28:18.167686 : Epoch  7, Batch    509, Loss  0.776288, Average Loss  0.771382, Time  0.272272
2021-09-23 00:28:19.516814 : Epoch  7, Batch    665, Loss  0.769814, Average Loss  0.770181, Time  0.248815
2021-09-23 00:28:20.055060 : Epoch  7, Batch    510, Loss  0.776160, Average Loss  0.771390, Time  0.254790
2021-09-23 00:28:21.091046 : Epoch  4, Batch    340, Loss  0.872910, Average Loss  0.871096, Time  0.413637
2021-09-23 00:28:21.406278 : Epoch  7, Batch    666, Loss  0.762271, Average Loss  0.770114, Time  0.252456
2021-09-23 00:28:21.957041 : Epoch  7, Batch    511, Loss  0.772711, Average Loss  0.771420, Time  0.251835
2021-09-23 00:28:23.274599 : Epoch  7, Batch    667, Loss  0.766886, Average Loss  0.770147, Time  0.250516
2021-09-23 00:28:23.883873 : Epoch  7, Batch    512, Loss  0.764035, Average Loss  0.771378, Time  0.252999
2021-09-23 00:28:25.163536 : Epoch  7, Batch    668, Loss  0.770285, Average Loss  0.770122, Time  0.249346
2021-09-23 00:28:25.801041 : Epoch  7, Batch    513, Loss  0.774046, Average Loss  0.771383, Time  0.256095
2021-09-23 00:28:26.055014 : Epoch  4, Batch    341, Loss  0.873858, Average Loss  0.871156, Time  0.413167
2021-09-23 00:28:27.038978 : Epoch  7, Batch    669, Loss  0.775693, Average Loss  0.770135, Time  0.247845
2021-09-23 00:28:27.719702 : Epoch  7, Batch    514, Loss  0.772690, Average Loss  0.771418, Time  0.260816
2021-09-23 00:28:28.945870 : Epoch  7, Batch    670, Loss  0.770710, Average Loss  0.770204, Time  0.254560
2021-09-23 00:28:29.640361 : Epoch  7, Batch    515, Loss  0.772219, Average Loss  0.771432, Time  0.252402
2021-09-23 00:28:30.825525 : Epoch  7, Batch    671, Loss  0.769324, Average Loss  0.770143, Time  0.249271
2021-09-23 00:28:31.036730 : Epoch  4, Batch    342, Loss  0.877157, Average Loss  0.871242, Time  0.414324
2021-09-23 00:28:31.541279 : Epoch  7, Batch    516, Loss  0.787691, Average Loss  0.771512, Time  0.255175
2021-09-23 00:28:32.738968 : Epoch  7, Batch    672, Loss  0.776131, Average Loss  0.770204, Time  0.263018
2021-09-23 00:28:33.476102 : Epoch  7, Batch    517, Loss  0.772755, Average Loss  0.771560, Time  0.252309
2021-09-23 00:28:34.651292 : Epoch  7, Batch    673, Loss  0.774249, Average Loss  0.770233, Time  0.248279
2021-09-23 00:28:35.388382 : Epoch  7, Batch    518, Loss  0.776210, Average Loss  0.771584, Time  0.256380
2021-09-23 00:28:36.009748 : Epoch  4, Batch    343, Loss  0.859388, Average Loss  0.871240, Time  0.413057
2021-09-23 00:28:36.532157 : Epoch  7, Batch    674, Loss  0.767996, Average Loss  0.770244, Time  0.256319
2021-09-23 00:28:37.301799 : Epoch  7, Batch    519, Loss  0.767134, Average Loss  0.771577, Time  0.252403
2021-09-23 00:28:38.413030 : Epoch  7, Batch    675, Loss  0.768957, Average Loss  0.770200, Time  0.248230
2021-09-23 00:28:39.205304 : Epoch  7, Batch    520, Loss  0.769253, Average Loss  0.771606, Time  0.258505
2021-09-23 00:28:40.301247 : Epoch  7, Batch    676, Loss  0.781335, Average Loss  0.770252, Time  0.248609
2021-09-23 00:28:40.992131 : Epoch  4, Batch    344, Loss  0.863760, Average Loss  0.871198, Time  0.413002
2021-09-23 00:28:41.117701 : Epoch  7, Batch    521, Loss  0.780218, Average Loss  0.771679, Time  0.251329
2021-09-23 00:28:42.190885 : Epoch  7, Batch    677, Loss  0.768972, Average Loss  0.770197, Time  0.251888
2021-09-23 00:28:43.006286 : Epoch  7, Batch    522, Loss  0.763895, Average Loss  0.771633, Time  0.252827
2021-09-23 00:28:44.068364 : Epoch  7, Batch    678, Loss  0.775841, Average Loss  0.770204, Time  0.252159
2021-09-23 00:28:44.933417 : Epoch  7, Batch    523, Loss  0.769031, Average Loss  0.771599, Time  0.267038
2021-09-23 00:28:46.053994 : Epoch  4, Batch    345, Loss  0.867810, Average Loss  0.871272, Time  0.462942
2021-09-23 00:28:46.871448 : Epoch  7, Batch    524, Loss  0.768228, Average Loss  0.771587, Time  0.255878
2021-09-23 00:28:48.768096 : Epoch  7, Batch    525, Loss  0.772201, Average Loss  0.771611, Time  0.251970
2021-09-23 00:28:50.665375 : Epoch  7, Batch    526, Loss  0.766319, Average Loss  0.771591, Time  0.260084
2021-09-23 00:28:51.032094 : Epoch  4, Batch    346, Loss  0.872682, Average Loss  0.871188, Time  0.413423
2021-09-23 00:28:52.637795 : Epoch  7, Batch    527, Loss  0.761844, Average Loss  0.771538, Time  0.324693
2021-09-23 00:28:54.547175 : Epoch  7, Batch    528, Loss  0.765055, Average Loss  0.771533, Time  0.253158
2021-09-23 00:28:56.019027 : Epoch  4, Batch    347, Loss  0.845624, Average Loss  0.871084, Time  0.415361
2021-09-23 00:28:56.472018 : Epoch  7, Batch    529, Loss  0.763255, Average Loss  0.771455, Time  0.251289
2021-09-23 00:28:58.393235 : Epoch  7, Batch    530, Loss  0.765747, Average Loss  0.771433, Time  0.265848
2021-09-23 00:29:00.307300 : Epoch  7, Batch    531, Loss  0.766233, Average Loss  0.771441, Time  0.259333
2021-09-23 00:29:00.994245 : Epoch  4, Batch    348, Loss  0.876495, Average Loss  0.871153, Time  0.413996
2021-09-23 00:29:02.232308 : Epoch  7, Batch    532, Loss  0.778364, Average Loss  0.771476, Time  0.252202
2021-09-23 00:29:04.224317 : Epoch  7, Batch    533, Loss  0.772686, Average Loss  0.771531, Time  0.333156
2021-09-23 00:29:05.953941 : Epoch  4, Batch    349, Loss  0.875692, Average Loss  0.871079, Time  0.413846
2021-09-23 00:29:06.128052 : Epoch  7, Batch    534, Loss  0.771743, Average Loss  0.771531, Time  0.251376
2021-09-23 00:29:08.025828 : Epoch  7, Batch    535, Loss  0.774454, Average Loss  0.771497, Time  0.250896
2021-09-23 00:29:09.958056 : Epoch  7, Batch    536, Loss  0.771143, Average Loss  0.771531, Time  0.263072
2021-09-23 00:29:10.945048 : Epoch  4, Batch    350, Loss  0.883046, Average Loss  0.871060, Time  0.414145
2021-09-23 00:29:11.864361 : Epoch  7, Batch    537, Loss  0.769473, Average Loss  0.771522, Time  0.256998
2021-09-23 00:29:13.785912 : Epoch  7, Batch    538, Loss  0.766977, Average Loss  0.771503, Time  0.252549
2021-09-23 00:29:15.709854 : Epoch  7, Batch    539, Loss  0.772501, Average Loss  0.771492, Time  0.256273
2021-09-23 00:29:15.912990 : Epoch  4, Batch    351, Loss  0.873456, Average Loss  0.871107, Time  0.413791
2021-09-23 00:29:17.645239 : Epoch  7, Batch    540, Loss  0.766658, Average Loss  0.771430, Time  0.294940
2021-09-23 00:29:19.572479 : Epoch  7, Batch    541, Loss  0.778452, Average Loss  0.771422, Time  0.251713
2021-09-23 00:29:20.879974 : Epoch  4, Batch    352, Loss  0.873251, Average Loss  0.871099, Time  0.413008
2021-09-23 00:29:21.477887 : Epoch  7, Batch    542, Loss  0.775781, Average Loss  0.771434, Time  0.254716
2021-09-23 00:29:23.481467 : Epoch  7, Batch    543, Loss  0.777902, Average Loss  0.771458, Time  0.290167
2021-09-23 00:29:25.392290 : Epoch  7, Batch    544, Loss  0.769479, Average Loss  0.771385, Time  0.252963
2021-09-23 00:29:25.847979 : Epoch  4, Batch    353, Loss  0.867454, Average Loss  0.871069, Time  0.413134
2021-09-23 00:29:27.336277 : Epoch  7, Batch    545, Loss  0.757615, Average Loss  0.771318, Time  0.281156
2021-09-23 00:29:29.249563 : Epoch  7, Batch    546, Loss  0.774624, Average Loss  0.771311, Time  0.275140
2021-09-23 00:29:30.851742 : Epoch  4, Batch    354, Loss  0.873285, Average Loss  0.871146, Time  0.449619
2021-09-23 00:29:31.139711 : Epoch  7, Batch    547, Loss  0.765116, Average Loss  0.771263, Time  0.252656
2021-09-23 00:29:33.019962 : Epoch  7, Batch    548, Loss  0.767376, Average Loss  0.771273, Time  0.252529
2021-09-23 00:29:35.818234 : Epoch  4, Batch    355, Loss  0.860406, Average Loss  0.871097, Time  0.412823
2021-09-23 00:29:36.694195 : Epoch  7, Batch    549, Loss  0.778212, Average Loss  0.771288, Time  0.251770
2021-09-23 00:29:38.613982 : Epoch  7, Batch    550, Loss  0.771598, Average Loss  0.771305, Time  0.259674
2021-09-23 00:29:40.612097 : Epoch  7, Batch    551, Loss  0.760886, Average Loss  0.771246, Time  0.329383
2021-09-23 00:29:40.783482 : Epoch  4, Batch    356, Loss  0.875071, Average Loss  0.871134, Time  0.413518
2021-09-23 00:29:42.528263 : Epoch  7, Batch    552, Loss  0.772944, Average Loss  0.771260, Time  0.253985
2021-09-23 00:29:44.426697 : Epoch  7, Batch    553, Loss  0.773096, Average Loss  0.771275, Time  0.252228
2021-09-23 00:29:45.731972 : Epoch  4, Batch    357, Loss  0.865181, Average Loss  0.871128, Time  0.413047
2021-09-23 00:29:46.340953 : Epoch  7, Batch    554, Loss  0.775078, Average Loss  0.771235, Time  0.252553
2021-09-23 00:29:48.248544 : Epoch  7, Batch    555, Loss  0.775720, Average Loss  0.771291, Time  0.255499
2021-09-23 00:29:50.139306 : Epoch  7, Batch    556, Loss  0.773874, Average Loss  0.771291, Time  0.256042
2021-09-23 00:29:50.689737 : Epoch  4, Batch    358, Loss  0.859874, Average Loss  0.870948, Time  0.413321
2021-09-23 00:29:52.048648 : Epoch  7, Batch    557, Loss  0.770887, Average Loss  0.771235, Time  0.257739
2021-09-23 00:29:54.025719 : Epoch  7, Batch    558, Loss  0.763644, Average Loss  0.771205, Time  0.326881
2021-09-23 00:29:54.420152 : CheckPoint: Validation Loss  0.00031095, Best Loss  0.00030606
2021-09-23 00:29:55.686778 : Epoch  4, Batch    359, Loss  0.873079, Average Loss  0.870908, Time  0.414388
2021-09-23 00:29:55.939217 : Epoch  7, Batch    559, Loss  0.768293, Average Loss  0.771177, Time  0.251848
2021-09-23 00:29:56.311102 : Epoch  7, Batch    679, Loss  0.768068, Average Loss  0.770228, Time  0.257154
2021-09-23 00:29:57.861433 : Epoch  7, Batch    560, Loss  0.772405, Average Loss  0.771151, Time  0.257031
2021-09-23 00:29:58.207175 : Epoch  7, Batch    680, Loss  0.777869, Average Loss  0.770273, Time  0.258980
2021-09-23 00:29:59.756705 : Epoch  7, Batch    561, Loss  0.779333, Average Loss  0.771182, Time  0.256108
2021-09-23 00:30:00.087919 : Epoch  7, Batch    681, Loss  0.776685, Average Loss  0.770289, Time  0.260283
2021-09-23 00:30:00.679858 : Epoch  4, Batch    360, Loss  0.863444, Average Loss  0.870869, Time  0.413918
2021-09-23 00:30:01.678453 : Epoch  7, Batch    562, Loss  0.760719, Average Loss  0.771168, Time  0.252185
2021-09-23 00:30:01.959404 : Epoch  7, Batch    682, Loss  0.768744, Average Loss  0.770266, Time  0.249028
2021-09-23 00:30:03.600724 : Epoch  7, Batch    563, Loss  0.768487, Average Loss  0.771194, Time  0.252191
2021-09-23 00:30:03.828265 : Epoch  7, Batch    683, Loss  0.762975, Average Loss  0.770182, Time  0.262935
2021-09-23 00:30:05.606841 : Epoch  7, Batch    564, Loss  0.783545, Average Loss  0.771285, Time  0.329346
2021-09-23 00:30:05.680110 : Epoch  4, Batch    361, Loss  0.874647, Average Loss  0.870894, Time  0.413993
2021-09-23 00:30:05.762550 : Epoch  7, Batch    684, Loss  0.766645, Average Loss  0.770100, Time  0.297044
2021-09-23 00:30:07.692693 : Epoch  7, Batch    565, Loss  0.768136, Average Loss  0.771262, Time  0.422406
2021-09-23 00:30:07.783420 : Epoch  7, Batch    685, Loss  0.774873, Average Loss  0.770115, Time  0.385204
2021-09-23 00:30:09.855273 : Epoch  7, Batch    566, Loss  0.772821, Average Loss  0.771261, Time  0.500869
2021-09-23 00:30:09.892752 : Epoch  7, Batch    686, Loss  0.771522, Average Loss  0.770115, Time  0.461975
2021-09-23 00:30:10.638155 : Epoch  4, Batch    362, Loss  0.874444, Average Loss  0.870920, Time  0.413195
2021-09-23 00:30:12.016496 : Epoch  7, Batch    687, Loss  0.769775, Average Loss  0.770139, Time  0.501886
2021-09-23 00:30:12.056215 : Epoch  7, Batch    567, Loss  0.771581, Average Loss  0.771274, Time  0.485291
2021-09-23 00:30:14.118568 : Epoch  7, Batch    688, Loss  0.764220, Average Loss  0.770074, Time  0.475339
2021-09-23 00:30:14.165822 : Epoch  7, Batch    568, Loss  0.772135, Average Loss  0.771258, Time  0.446985
2021-09-23 00:30:15.663045 : Epoch  4, Batch    363, Loss  0.862048, Average Loss  0.870896, Time  0.456933
2021-09-23 00:30:16.201013 : Epoch  7, Batch    689, Loss  0.758417, Average Loss  0.769997, Time  0.456755
2021-09-23 00:30:16.284992 : Epoch  7, Batch    569, Loss  0.763630, Average Loss  0.771251, Time  0.436618
2021-09-23 00:30:18.328901 : Epoch  7, Batch    690, Loss  0.758804, Average Loss  0.769943, Time  0.468019
2021-09-23 00:30:18.376373 : Epoch  7, Batch    570, Loss  0.767508, Average Loss  0.771204, Time  0.438968
2021-09-23 00:30:20.482280 : Epoch  7, Batch    691, Loss  0.773647, Average Loss  0.769983, Time  0.499931
2021-09-23 00:30:20.518928 : Epoch  7, Batch    571, Loss  0.775959, Average Loss  0.771240, Time  0.468184
2021-09-23 00:30:20.699837 : Epoch  4, Batch    364, Loss  0.876686, Average Loss  0.870881, Time  0.413489
2021-09-23 00:30:22.620094 : Epoch  7, Batch    692, Loss  0.773276, Average Loss  0.769956, Time  0.501114
2021-09-23 00:30:22.670614 : Epoch  7, Batch    572, Loss  0.771349, Average Loss  0.771295, Time  0.462808
2021-09-23 00:30:24.748080 : Epoch  7, Batch    693, Loss  0.783246, Average Loss  0.770069, Time  0.481920
2021-09-23 00:30:24.787968 : Epoch  7, Batch    573, Loss  0.782814, Average Loss  0.771315, Time  0.448040
2021-09-23 00:30:25.650000 : Epoch  4, Batch    365, Loss  0.864505, Average Loss  0.870862, Time  0.413063
2021-09-23 00:30:26.870785 : Epoch  7, Batch    694, Loss  0.767606, Average Loss  0.770085, Time  0.495816
2021-09-23 00:30:26.904291 : Epoch  7, Batch    574, Loss  0.781816, Average Loss  0.771363, Time  0.464599
2021-09-23 00:30:28.986765 : Epoch  7, Batch    695, Loss  0.765478, Average Loss  0.770058, Time  0.490422
2021-09-23 00:30:29.025322 : Epoch  7, Batch    575, Loss  0.767839, Average Loss  0.771327, Time  0.455656
2021-09-23 00:30:30.622743 : Epoch  4, Batch    366, Loss  0.868592, Average Loss  0.870854, Time  0.413610
2021-09-23 00:30:31.094429 : Epoch  7, Batch    696, Loss  0.772307, Average Loss  0.770069, Time  0.487725
2021-09-23 00:30:31.136176 : Epoch  7, Batch    576, Loss  0.769410, Average Loss  0.771311, Time  0.456035
2021-09-23 00:30:33.217502 : Epoch  7, Batch    697, Loss  0.777343, Average Loss  0.770112, Time  0.501599
2021-09-23 00:30:33.256829 : Epoch  7, Batch    577, Loss  0.764610, Average Loss  0.771316, Time  0.450478
2021-09-23 00:30:35.354900 : Epoch  7, Batch    698, Loss  0.766520, Average Loss  0.770135, Time  0.502341
2021-09-23 00:30:35.395620 : Epoch  7, Batch    578, Loss  0.765520, Average Loss  0.771299, Time  0.459995
2021-09-23 00:30:35.597011 : Epoch  4, Batch    367, Loss  0.866802, Average Loss  0.870855, Time  0.413116
2021-09-23 00:30:37.348850 : Epoch  7, Batch    699, Loss  0.771866, Average Loss  0.770185, Time  0.249122
2021-09-23 00:30:39.241889 : Epoch  7, Batch    700, Loss  0.760840, Average Loss  0.770209, Time  0.250574
2021-09-23 00:30:40.547872 : Epoch  4, Batch    368, Loss  0.877061, Average Loss  0.870899, Time  0.413336
2021-09-23 00:30:41.134841 : Epoch  7, Batch    701, Loss  0.765881, Average Loss  0.770104, Time  0.251346
2021-09-23 00:30:43.017040 : Epoch  7, Batch    702, Loss  0.769922, Average Loss  0.770118, Time  0.252832
2021-09-23 00:30:44.900713 : Epoch  7, Batch    703, Loss  0.775415, Average Loss  0.770144, Time  0.254601
2021-09-23 00:30:45.527971 : Epoch  4, Batch    369, Loss  0.866485, Average Loss  0.870927, Time  0.413260
2021-09-23 00:30:46.787705 : Epoch  7, Batch    704, Loss  0.779436, Average Loss  0.770207, Time  0.260389
2021-09-23 00:30:48.656063 : Epoch  7, Batch    705, Loss  0.768872, Average Loss  0.770196, Time  0.249453
2021-09-23 00:30:50.523997 : Epoch  4, Batch    370, Loss  0.864870, Average Loss  0.870889, Time  0.414176
2021-09-23 00:30:50.601092 : Epoch  7, Batch    706, Loss  0.770701, Average Loss  0.770237, Time  0.328823
2021-09-23 00:30:52.498593 : Epoch  7, Batch    707, Loss  0.772735, Average Loss  0.770250, Time  0.252155
2021-09-23 00:30:54.372965 : Epoch  7, Batch    708, Loss  0.774247, Average Loss  0.770231, Time  0.251655
2021-09-23 00:30:55.497052 : Epoch  4, Batch    371, Loss  0.862706, Average Loss  0.870942, Time  0.413062
2021-09-23 00:30:56.236755 : Epoch  7, Batch    709, Loss  0.766231, Average Loss  0.770195, Time  0.251155
2021-09-23 00:30:58.108206 : Epoch  7, Batch    710, Loss  0.772532, Average Loss  0.770205, Time  0.248332
2021-09-23 00:30:59.976887 : Epoch  7, Batch    711, Loss  0.762954, Average Loss  0.770222, Time  0.254807
2021-09-23 00:31:00.516736 : Epoch  4, Batch    372, Loss  0.872154, Average Loss  0.871012, Time  0.453126
2021-09-23 00:31:01.861032 : Epoch  7, Batch    712, Loss  0.776269, Average Loss  0.770209, Time  0.248046
2021-09-23 00:31:03.742239 : Epoch  7, Batch    713, Loss  0.772530, Average Loss  0.770209, Time  0.261062
2021-09-23 00:31:05.488272 : Epoch  4, Batch    373, Loss  0.857151, Average Loss  0.870945, Time  0.413353
2021-09-23 00:31:05.700267 : Epoch  7, Batch    714, Loss  0.768830, Average Loss  0.770168, Time  0.324639
2021-09-23 00:31:07.573184 : Epoch  7, Batch    715, Loss  0.773301, Average Loss  0.770176, Time  0.250011
2021-09-23 00:31:09.438896 : Epoch  7, Batch    716, Loss  0.773764, Average Loss  0.770169, Time  0.248960
2021-09-23 00:31:10.462984 : Epoch  4, Batch    374, Loss  0.877146, Average Loss  0.870995, Time  0.413955
2021-09-23 00:31:11.306155 : Epoch  7, Batch    717, Loss  0.772221, Average Loss  0.770166, Time  0.248204
2021-09-23 00:31:13.182570 : Epoch  7, Batch    718, Loss  0.781138, Average Loss  0.770259, Time  0.254271
2021-09-23 00:31:15.065121 : Epoch  7, Batch    719, Loss  0.768948, Average Loss  0.770171, Time  0.259286
2021-09-23 00:31:15.432806 : Epoch  4, Batch    375, Loss  0.874112, Average Loss  0.871006, Time  0.413229
2021-09-23 00:31:16.951946 : Epoch  7, Batch    720, Loss  0.766540, Average Loss  0.770195, Time  0.249272
2021-09-23 00:31:18.836278 : Epoch  7, Batch    721, Loss  0.765343, Average Loss  0.770170, Time  0.262614
2021-09-23 00:31:20.405811 : Epoch  4, Batch    376, Loss  0.866165, Average Loss  0.871080, Time  0.413482
2021-09-23 00:31:20.813063 : Epoch  7, Batch    722, Loss  0.774280, Average Loss  0.770186, Time  0.335177
2021-09-23 00:31:22.713257 : Epoch  7, Batch    723, Loss  0.763903, Average Loss  0.770123, Time  0.248955
2021-09-23 00:31:24.593683 : Epoch  7, Batch    724, Loss  0.762357, Average Loss  0.770112, Time  0.249871
2021-09-23 00:31:25.383805 : Epoch  4, Batch    377, Loss  0.884581, Average Loss  0.871098, Time  0.413486
2021-09-23 00:31:26.460995 : Epoch  7, Batch    725, Loss  0.766969, Average Loss  0.770118, Time  0.249339
2021-09-23 00:31:28.339422 : Epoch  7, Batch    726, Loss  0.770493, Average Loss  0.770110, Time  0.250304
2021-09-23 00:31:30.253084 : Epoch  7, Batch    727, Loss  0.782364, Average Loss  0.770229, Time  0.251456
2021-09-23 00:31:30.350933 : Epoch  4, Batch    378, Loss  0.868987, Average Loss  0.871038, Time  0.412940
2021-09-23 00:31:32.125989 : Epoch  7, Batch    728, Loss  0.769803, Average Loss  0.770166, Time  0.250375
2021-09-23 00:31:34.098580 : Epoch  7, Batch    729, Loss  0.775856, Average Loss  0.770212, Time  0.328168
2021-09-23 00:31:35.294921 : Epoch  4, Batch    379, Loss  0.865823, Average Loss  0.871116, Time  0.413249
2021-09-23 00:31:35.983301 : Epoch  7, Batch    730, Loss  0.769923, Average Loss  0.770185, Time  0.247776
2021-09-23 00:31:37.893962 : Epoch  7, Batch    731, Loss  0.774531, Average Loss  0.770266, Time  0.257531
2021-09-23 00:31:39.774882 : Epoch  7, Batch    732, Loss  0.777238, Average Loss  0.770299, Time  0.251910
2021-09-23 00:31:40.262102 : Epoch  4, Batch    380, Loss  0.844999, Average Loss  0.870937, Time  0.413138
2021-09-23 00:31:41.663496 : Epoch  7, Batch    733, Loss  0.774473, Average Loss  0.770298, Time  0.252456
2021-09-23 00:31:43.531133 : Epoch  7, Batch    734, Loss  0.778855, Average Loss  0.770421, Time  0.250524
2021-09-23 00:31:45.226215 : Epoch  4, Batch    381, Loss  0.880146, Average Loss  0.871009, Time  0.413502
2021-09-23 00:31:45.416128 : Epoch  7, Batch    735, Loss  0.767044, Average Loss  0.770377, Time  0.249314
2021-09-23 00:31:46.212759 : CheckPoint: Validation Loss  0.00033023, Best Loss  0.00030514
2021-09-23 00:31:47.278331 : Epoch  7, Batch    736, Loss  0.770047, Average Loss  0.770304, Time  0.247624
2021-09-23 00:31:48.110494 : Epoch  7, Batch    579, Loss  0.781770, Average Loss  0.771295, Time  0.254532
2021-09-23 00:31:49.148698 : Epoch  7, Batch    737, Loss  0.763672, Average Loss  0.770281, Time  0.254670
2021-09-23 00:31:50.014062 : Epoch  7, Batch    580, Loss  0.775991, Average Loss  0.771305, Time  0.253587
2021-09-23 00:31:50.230207 : Epoch  4, Batch    382, Loss  0.856887, Average Loss  0.870931, Time  0.451711
2021-09-23 00:31:51.036794 : Epoch  7, Batch    738, Loss  0.764503, Average Loss  0.770266, Time  0.262241
2021-09-23 00:31:51.931219 : Epoch  7, Batch    581, Loss  0.769854, Average Loss  0.771330, Time  0.252012
2021-09-23 00:31:52.915159 : Epoch  7, Batch    739, Loss  0.762211, Average Loss  0.770205, Time  0.250524
2021-09-23 00:31:53.844712 : Epoch  7, Batch    582, Loss  0.763373, Average Loss  0.771300, Time  0.254283
2021-09-23 00:31:54.837080 : Epoch  7, Batch    740, Loss  0.771871, Average Loss  0.770280, Time  0.250834
2021-09-23 00:31:55.182924 : Epoch  4, Batch    383, Loss  0.866837, Average Loss  0.870904, Time  0.412961
2021-09-23 00:31:55.760972 : Epoch  7, Batch    583, Loss  0.755700, Average Loss  0.771195, Time  0.257012
2021-09-23 00:31:56.728057 : Epoch  7, Batch    741, Loss  0.774610, Average Loss  0.770251, Time  0.252368
2021-09-23 00:31:57.667404 : Epoch  7, Batch    584, Loss  0.770768, Average Loss  0.771181, Time  0.256021
2021-09-23 00:31:58.605842 : Epoch  7, Batch    742, Loss  0.787753, Average Loss  0.770279, Time  0.252370
2021-09-23 00:31:59.572781 : Epoch  7, Batch    585, Loss  0.767239, Average Loss  0.771173, Time  0.256680
2021-09-23 00:32:00.140776 : Epoch  4, Batch    384, Loss  0.861540, Average Loss  0.870931, Time  0.413621
2021-09-23 00:32:00.488344 : Epoch  7, Batch    743, Loss  0.778503, Average Loss  0.770369, Time  0.249832
2021-09-23 00:32:01.466687 : Epoch  7, Batch    586, Loss  0.778952, Average Loss  0.771176, Time  0.255883
2021-09-23 00:32:02.359827 : Epoch  7, Batch    744, Loss  0.781022, Average Loss  0.770465, Time  0.250051
2021-09-23 00:32:03.392789 : Epoch  7, Batch    587, Loss  0.765737, Average Loss  0.771223, Time  0.252736
2021-09-23 00:32:04.223363 : Epoch  7, Batch    745, Loss  0.777188, Average Loss  0.770543, Time  0.249600
2021-09-23 00:32:05.126821 : Epoch  4, Batch    385, Loss  0.864106, Average Loss  0.870915, Time  0.414323
2021-09-23 00:32:05.292734 : Epoch  7, Batch    588, Loss  0.768562, Average Loss  0.771239, Time  0.265064
2021-09-23 00:32:06.117788 : Epoch  7, Batch    746, Loss  0.778005, Average Loss  0.770579, Time  0.250706
2021-09-23 00:32:07.215798 : Epoch  7, Batch    589, Loss  0.771606, Average Loss  0.771258, Time  0.255839
2021-09-23 00:32:07.977831 : Epoch  7, Batch    747, Loss  0.763011, Average Loss  0.770553, Time  0.252944
2021-09-23 00:32:09.123061 : Epoch  7, Batch    590, Loss  0.778283, Average Loss  0.771247, Time  0.254610
2021-09-23 00:32:09.874956 : Epoch  7, Batch    748, Loss  0.768848, Average Loss  0.770511, Time  0.250625
2021-09-23 00:32:10.098825 : Epoch  4, Batch    386, Loss  0.873028, Average Loss  0.870859, Time  0.413988
2021-09-23 00:32:11.039331 : Epoch  7, Batch    591, Loss  0.769746, Average Loss  0.771273, Time  0.256801
2021-09-23 00:32:12.922571 : Epoch  7, Batch    592, Loss  0.769288, Average Loss  0.771202, Time  0.251098
2021-09-23 00:32:13.543964 : Epoch  7, Batch    749, Loss  0.772074, Average Loss  0.770447, Time  0.253073
2021-09-23 00:32:14.832985 : Epoch  7, Batch    593, Loss  0.785064, Average Loss  0.771270, Time  0.256619
2021-09-23 00:32:15.057884 : Epoch  4, Batch    387, Loss  0.872163, Average Loss  0.870848, Time  0.413554
2021-09-23 00:32:15.408371 : Epoch  7, Batch    750, Loss  0.772321, Average Loss  0.770471, Time  0.248607
2021-09-23 00:32:16.742358 : Epoch  7, Batch    594, Loss  0.792589, Average Loss  0.771387, Time  0.253940
2021-09-23 00:32:17.278986 : Epoch  7, Batch    751, Loss  0.777212, Average Loss  0.770560, Time  0.248813
2021-09-23 00:32:18.696703 : Epoch  7, Batch    595, Loss  0.765778, Average Loss  0.771350, Time  0.256737
2021-09-23 00:32:19.157697 : Epoch  7, Batch    752, Loss  0.772769, Average Loss  0.770574, Time  0.250335
2021-09-23 00:32:20.026134 : Epoch  4, Batch    388, Loss  0.870653, Average Loss  0.870784, Time  0.413340
2021-09-23 00:32:20.608212 : Epoch  7, Batch    596, Loss  0.774804, Average Loss  0.771393, Time  0.252032
2021-09-23 00:32:21.019176 : Epoch  7, Batch    753, Loss  0.776597, Average Loss  0.770662, Time  0.247962
2021-09-23 00:32:22.512920 : Epoch  7, Batch    597, Loss  0.775828, Average Loss  0.771416, Time  0.259796
2021-09-23 00:32:22.872947 : Epoch  7, Batch    754, Loss  0.782384, Average Loss  0.770740, Time  0.250851
2021-09-23 00:32:24.417732 : Epoch  7, Batch    598, Loss  0.778894, Average Loss  0.771477, Time  0.256381
2021-09-23 00:32:24.725886 : Epoch  7, Batch    755, Loss  0.762085, Average Loss  0.770690, Time  0.248466
2021-09-23 00:32:25.011764 : Epoch  4, Batch    389, Loss  0.878348, Average Loss  0.870833, Time  0.413540
2021-09-23 00:32:26.342395 : Epoch  7, Batch    599, Loss  0.759013, Average Loss  0.771371, Time  0.255555
2021-09-23 00:32:26.627454 : Epoch  7, Batch    756, Loss  0.778441, Average Loss  0.770742, Time  0.253537
2021-09-23 00:32:28.260020 : Epoch  7, Batch    600, Loss  0.766307, Average Loss  0.771374, Time  0.254964
2021-09-23 00:32:28.500248 : Epoch  7, Batch    757, Loss  0.766891, Average Loss  0.770696, Time  0.257363
2021-09-23 00:32:30.003993 : Epoch  4, Batch    390, Loss  0.870737, Average Loss  0.870845, Time  0.413151
2021-09-23 00:32:30.214309 : Epoch  7, Batch    601, Loss  0.767288, Average Loss  0.771314, Time  0.303891
2021-09-23 00:32:30.390517 : Epoch  7, Batch    758, Loss  0.771865, Average Loss  0.770644, Time  0.279333
2021-09-23 00:32:32.244045 : Epoch  7, Batch    602, Loss  0.777600, Average Loss  0.771377, Time  0.394258
2021-09-23 00:32:32.347123 : Epoch  7, Batch    759, Loss  0.767967, Average Loss  0.770617, Time  0.351472
2021-09-23 00:32:34.369664 : Epoch  7, Batch    603, Loss  0.774017, Average Loss  0.771339, Time  0.478189
2021-09-23 00:32:34.411217 : Epoch  7, Batch    760, Loss  0.770960, Average Loss  0.770591, Time  0.442185
2021-09-23 00:32:35.025763 : Epoch  4, Batch    391, Loss  0.854867, Average Loss  0.870762, Time  0.462556
2021-09-23 00:32:36.532211 : Epoch  7, Batch    604, Loss  0.769164, Average Loss  0.771316, Time  0.513621
2021-09-23 00:32:36.559483 : Epoch  7, Batch    761, Loss  0.778450, Average Loss  0.770623, Time  0.493457
2021-09-23 00:32:38.694796 : Epoch  7, Batch    762, Loss  0.776717, Average Loss  0.770665, Time  0.504498
2021-09-23 00:32:38.724437 : Epoch  7, Batch    605, Loss  0.761800, Average Loss  0.771191, Time  0.494139
2021-09-23 00:32:39.984983 : Epoch  4, Batch    392, Loss  0.876943, Average Loss  0.870819, Time  0.417209
2021-09-23 00:32:40.886547 : Epoch  7, Batch    606, Loss  0.779051, Average Loss  0.771220, Time  0.520904
2021-09-23 00:32:40.917512 : Epoch  7, Batch    763, Loss  0.763463, Average Loss  0.770636, Time  0.522383
2021-09-23 00:32:43.043777 : Epoch  7, Batch    607, Loss  0.776328, Average Loss  0.771256, Time  0.519168
2021-09-23 00:32:43.072696 : Epoch  7, Batch    764, Loss  0.765316, Average Loss  0.770610, Time  0.514252
2021-09-23 00:32:45.164790 : Epoch  4, Batch    393, Loss  0.853134, Average Loss  0.870728, Time  0.437880
2021-09-23 00:32:45.231093 : Epoch  7, Batch    765, Loss  0.781229, Average Loss  0.770667, Time  0.504177
2021-09-23 00:32:45.261469 : Epoch  7, Batch    608, Loss  0.765407, Average Loss  0.771255, Time  0.497465
2021-09-23 00:32:47.359346 : Epoch  7, Batch    766, Loss  0.765211, Average Loss  0.770682, Time  0.505304
2021-09-23 00:32:47.383422 : Epoch  7, Batch    609, Loss  0.778199, Average Loss  0.771284, Time  0.478171
2021-09-23 00:32:49.534808 : Epoch  7, Batch    767, Loss  0.764967, Average Loss  0.770618, Time  0.510660
2021-09-23 00:32:49.569353 : Epoch  7, Batch    610, Loss  0.764317, Average Loss  0.771168, Time  0.503139
2021-09-23 00:32:50.176951 : Epoch  4, Batch    394, Loss  0.867590, Average Loss  0.870731, Time  0.414890
2021-09-23 00:32:51.656625 : Epoch  7, Batch    768, Loss  0.763071, Average Loss  0.770595, Time  0.489488
2021-09-23 00:32:51.689876 : Epoch  7, Batch    611, Loss  0.781649, Average Loss  0.771247, Time  0.458531
2021-09-23 00:32:53.771823 : Epoch  7, Batch    769, Loss  0.760054, Average Loss  0.770514, Time  0.501347
2021-09-23 00:32:53.794938 : Epoch  7, Batch    612, Loss  0.775356, Average Loss  0.771253, Time  0.463951
2021-09-23 00:32:55.163760 : Epoch  4, Batch    395, Loss  0.868211, Average Loss  0.870730, Time  0.413708
2021-09-23 00:32:55.850656 : Epoch  7, Batch    770, Loss  0.777012, Average Loss  0.770548, Time  0.472628
2021-09-23 00:32:55.894314 : Epoch  7, Batch    613, Loss  0.768802, Average Loss  0.771245, Time  0.438578
2021-09-23 00:32:57.933534 : Epoch  7, Batch    771, Loss  0.785906, Average Loss  0.770592, Time  0.461110
2021-09-23 00:32:57.991655 : Epoch  7, Batch    614, Loss  0.764446, Average Loss  0.771268, Time  0.438737
2021-09-23 00:32:59.987039 : Epoch  7, Batch    772, Loss  0.773042, Average Loss  0.770574, Time  0.450881
2021-09-23 00:33:00.051658 : Epoch  7, Batch    615, Loss  0.772220, Average Loss  0.771226, Time  0.407626
2021-09-23 00:33:00.156935 : Epoch  4, Batch    396, Loss  0.881039, Average Loss  0.870875, Time  0.416398
2021-09-23 00:33:02.097756 : Epoch  7, Batch    773, Loss  0.784293, Average Loss  0.770647, Time  0.483647
2021-09-23 00:33:02.136908 : Epoch  7, Batch    616, Loss  0.767067, Average Loss  0.771180, Time  0.438702
2021-09-23 00:33:04.201204 : Epoch  7, Batch    774, Loss  0.779337, Average Loss  0.770704, Time  0.478458
2021-09-23 00:33:04.245919 : Epoch  7, Batch    617, Loss  0.777754, Average Loss  0.771179, Time  0.453967
2021-09-23 00:33:05.141842 : Epoch  4, Batch    397, Loss  0.874122, Average Loss  0.870882, Time  0.413199
2021-09-23 00:33:06.310240 : Epoch  7, Batch    775, Loss  0.765020, Average Loss  0.770714, Time  0.486232
2021-09-23 00:33:06.356372 : Epoch  7, Batch    618, Loss  0.768623, Average Loss  0.771174, Time  0.447210
2021-09-23 00:33:08.420719 : Epoch  7, Batch    776, Loss  0.777133, Average Loss  0.770734, Time  0.477143
2021-09-23 00:33:08.462896 : Epoch  7, Batch    619, Loss  0.787053, Average Loss  0.771216, Time  0.442680
2021-09-23 00:33:10.123750 : Epoch  4, Batch    398, Loss  0.853211, Average Loss  0.870669, Time  0.413987
2021-09-23 00:33:10.541321 : Epoch  7, Batch    777, Loss  0.772516, Average Loss  0.770758, Time  0.490947
2021-09-23 00:33:10.578219 : Epoch  7, Batch    620, Loss  0.764999, Average Loss  0.771195, Time  0.467056
2021-09-23 00:33:12.583623 : Epoch  7, Batch    778, Loss  0.768135, Average Loss  0.770759, Time  0.419934
2021-09-23 00:33:12.674414 : Epoch  7, Batch    621, Loss  0.777823, Average Loss  0.771228, Time  0.387897
2021-09-23 00:33:14.590384 : Epoch  7, Batch    622, Loss  0.764667, Average Loss  0.771235, Time  0.253946
2021-09-23 00:33:15.115838 : Epoch  4, Batch    399, Loss  0.886656, Average Loss  0.870716, Time  0.413657
2021-09-23 00:33:16.493204 : Epoch  7, Batch    623, Loss  0.759830, Average Loss  0.771165, Time  0.256562
2021-09-23 00:33:18.395109 : Epoch  7, Batch    624, Loss  0.765682, Average Loss  0.771158, Time  0.253341
2021-09-23 00:33:20.152585 : Epoch  4, Batch    400, Loss  0.862089, Average Loss  0.870723, Time  0.444353
2021-09-23 00:33:20.296391 : Epoch  7, Batch    625, Loss  0.780090, Average Loss  0.771255, Time  0.251893
2021-09-23 00:33:22.175512 : Epoch  7, Batch    626, Loss  0.772382, Average Loss  0.771269, Time  0.252038
2021-09-23 00:33:24.084521 : Epoch  7, Batch    627, Loss  0.775235, Average Loss  0.771281, Time  0.253582
2021-09-23 00:33:25.124026 : Epoch  4, Batch    401, Loss  0.876278, Average Loss  0.870652, Time  0.413723
2021-09-23 00:33:26.081951 : Epoch  7, Batch    628, Loss  0.762888, Average Loss  0.771223, Time  0.339220
2021-09-23 00:33:27.987417 : Epoch  7, Batch    629, Loss  0.766040, Average Loss  0.771178, Time  0.251729
2021-09-23 00:33:29.921578 : Epoch  7, Batch    630, Loss  0.767447, Average Loss  0.771155, Time  0.258658
2021-09-23 00:33:30.096933 : Epoch  4, Batch    402, Loss  0.857239, Average Loss  0.870616, Time  0.413677
2021-09-23 00:33:31.835738 : Epoch  7, Batch    631, Loss  0.755818, Average Loss  0.771036, Time  0.253411
2021-09-23 00:33:33.737856 : Epoch  7, Batch    632, Loss  0.759509, Average Loss  0.770977, Time  0.252021
2021-09-23 00:33:35.056999 : Epoch  4, Batch    403, Loss  0.872220, Average Loss  0.870670, Time  0.413243
2021-09-23 00:33:35.665463 : Epoch  7, Batch    633, Loss  0.760013, Average Loss  0.770923, Time  0.259510
2021-09-23 00:33:37.562349 : Epoch  7, Batch    634, Loss  0.769167, Average Loss  0.770968, Time  0.257963
2021-09-23 00:33:39.548510 : Epoch  7, Batch    635, Loss  0.774093, Average Loss  0.770996, Time  0.329165
2021-09-23 00:33:40.034881 : Epoch  4, Batch    404, Loss  0.856068, Average Loss  0.870685, Time  0.423434
2021-09-23 00:33:41.464226 : Epoch  7, Batch    636, Loss  0.771881, Average Loss  0.770939, Time  0.262416
2021-09-23 00:33:43.358844 : Epoch  7, Batch    637, Loss  0.772078, Average Loss  0.770998, Time  0.255999
2021-09-23 00:33:45.007062 : Epoch  4, Batch    405, Loss  0.876232, Average Loss  0.870704, Time  0.413046
2021-09-23 00:33:45.278732 : Epoch  7, Batch    638, Loss  0.774824, Average Loss  0.771027, Time  0.253361
2021-09-23 00:33:47.188481 : Epoch  7, Batch    639, Loss  0.774659, Average Loss  0.771004, Time  0.253831
2021-09-23 00:33:49.107065 : Epoch  7, Batch    640, Loss  0.790259, Average Loss  0.771082, Time  0.253672
2021-09-23 00:33:50.035094 : Epoch  4, Batch    406, Loss  0.869794, Average Loss  0.870703, Time  0.413249
2021-09-23 00:33:51.106478 : Epoch  7, Batch    641, Loss  0.773846, Average Loss  0.771084, Time  0.329162
2021-09-23 00:33:52.996914 : Epoch  7, Batch    642, Loss  0.755585, Average Loss  0.771009, Time  0.251470
2021-09-23 00:33:54.938709 : Epoch  7, Batch    643, Loss  0.765487, Average Loss  0.770932, Time  0.269163
2021-09-23 00:33:55.015045 : Epoch  4, Batch    407, Loss  0.866758, Average Loss  0.870672, Time  0.413302
2021-09-23 00:33:56.867046 : Epoch  7, Batch    644, Loss  0.760496, Average Loss  0.770890, Time  0.255584
2021-09-23 00:33:58.777350 : Epoch  7, Batch    645, Loss  0.772951, Average Loss  0.770941, Time  0.254119
2021-09-23 00:33:59.979595 : Epoch  4, Batch    408, Loss  0.867505, Average Loss  0.870661, Time  0.414611
2021-09-23 00:34:00.702248 : Epoch  7, Batch    646, Loss  0.767179, Average Loss  0.770884, Time  0.257218
2021-09-23 00:34:02.698892 : Epoch  7, Batch    647, Loss  0.770142, Average Loss  0.770897, Time  0.334861
2021-09-23 00:34:04.598143 : Epoch  7, Batch    648, Loss  0.768090, Average Loss  0.770875, Time  0.251391
2021-09-23 00:34:04.978784 : Epoch  4, Batch    409, Loss  0.878059, Average Loss  0.870640, Time  0.456218
2021-09-23 00:34:08.460016 : Epoch  7, Batch    649, Loss  0.774931, Average Loss  0.770899, Time  0.264077
2021-09-23 00:34:09.950937 : Epoch  4, Batch    410, Loss  0.865550, Average Loss  0.870504, Time  0.414180
2021-09-23 00:34:10.372349 : Epoch  7, Batch    650, Loss  0.764299, Average Loss  0.770866, Time  0.256039
2021-09-23 00:34:12.282079 : Epoch  7, Batch    651, Loss  0.770467, Average Loss  0.770829, Time  0.255971
2021-09-23 00:34:14.257276 : Epoch  7, Batch    652, Loss  0.764172, Average Loss  0.770783, Time  0.330456
2021-09-23 00:34:14.929072 : Epoch  4, Batch    411, Loss  0.860614, Average Loss  0.870453, Time  0.414166
2021-09-23 00:34:16.163978 : Epoch  7, Batch    653, Loss  0.760639, Average Loss  0.770762, Time  0.253430
2021-09-23 00:34:18.067127 : Epoch  7, Batch    654, Loss  0.781095, Average Loss  0.770795, Time  0.255336
2021-09-23 00:34:19.901862 : Epoch  4, Batch    412, Loss  0.860601, Average Loss  0.870410, Time  0.413020
2021-09-23 00:34:20.007812 : Epoch  7, Batch    655, Loss  0.770468, Average Loss  0.770806, Time  0.283999
2021-09-23 00:34:21.924935 : Epoch  7, Batch    656, Loss  0.763486, Average Loss  0.770731, Time  0.281406
2021-09-23 00:34:23.044914 : CheckPoint: Validation Loss  0.00031331, Best Loss  0.00030606
2021-09-23 00:34:23.855038 : Epoch  7, Batch    657, Loss  0.772779, Average Loss  0.770779, Time  0.256136
2021-09-23 00:34:24.865764 : Epoch  4, Batch    413, Loss  0.874121, Average Loss  0.870360, Time  0.412842
2021-09-23 00:34:24.924196 : Epoch  7, Batch    779, Loss  0.758536, Average Loss  0.770666, Time  0.258906
2021-09-23 00:34:25.794393 : Epoch  7, Batch    658, Loss  0.775001, Average Loss  0.770835, Time  0.251322
2021-09-23 00:34:26.800317 : Epoch  7, Batch    780, Loss  0.758390, Average Loss  0.770593, Time  0.249781
2021-09-23 00:34:27.704674 : Epoch  7, Batch    659, Loss  0.766866, Average Loss  0.770779, Time  0.252210
2021-09-23 00:34:28.686801 : Epoch  7, Batch    781, Loss  0.771209, Average Loss  0.770616, Time  0.255515
2021-09-23 00:34:29.596819 : Epoch  7, Batch    660, Loss  0.769285, Average Loss  0.770866, Time  0.253621
2021-09-23 00:34:29.827893 : Epoch  4, Batch    414, Loss  0.868288, Average Loss  0.870303, Time  0.413403
2021-09-23 00:34:30.571243 : Epoch  7, Batch    782, Loss  0.775602, Average Loss  0.770624, Time  0.248768
2021-09-23 00:34:31.491387 : Epoch  7, Batch    661, Loss  0.774282, Average Loss  0.770929, Time  0.251022
2021-09-23 00:34:32.428893 : Epoch  7, Batch    783, Loss  0.769340, Average Loss  0.770576, Time  0.253103
2021-09-23 00:34:33.412084 : Epoch  7, Batch    662, Loss  0.755778, Average Loss  0.770823, Time  0.260625
2021-09-23 00:34:34.303247 : Epoch  7, Batch    784, Loss  0.776214, Average Loss  0.770580, Time  0.249972
2021-09-23 00:34:34.777728 : Epoch  4, Batch    415, Loss  0.875344, Average Loss  0.870338, Time  0.412894
2021-09-23 00:34:35.293925 : Epoch  7, Batch    663, Loss  0.765364, Average Loss  0.770832, Time  0.255295
2021-09-23 00:34:36.169896 : Epoch  7, Batch    785, Loss  0.773596, Average Loss  0.770573, Time  0.253206
2021-09-23 00:34:37.177430 : Epoch  7, Batch    664, Loss  0.765766, Average Loss  0.770767, Time  0.253713
2021-09-23 00:34:38.048459 : Epoch  7, Batch    786, Loss  0.783218, Average Loss  0.770630, Time  0.251081
2021-09-23 00:34:39.068210 : Epoch  7, Batch    665, Loss  0.764793, Average Loss  0.770769, Time  0.252006
2021-09-23 00:34:39.736759 : Epoch  4, Batch    416, Loss  0.860287, Average Loss  0.870314, Time  0.413492
2021-09-23 00:34:39.940281 : Epoch  7, Batch    787, Loss  0.768657, Average Loss  0.770642, Time  0.251322
2021-09-23 00:34:39.983047 : Saving Model after 7-th Epoch.
2021-09-23 00:34:40.657678 : Epoch Finished.
2021-09-23 00:34:41.005338 : Epoch  7, Batch    666, Loss  0.781044, Average Loss  0.770809, Time  0.261840
2021-09-23 00:34:42.467674 : Batch Shuffled
2021-09-23 00:34:42.924947 : Epoch  7, Batch    667, Loss  0.775031, Average Loss  0.770840, Time  0.251054
2021-09-23 00:34:44.367240 : Epoch  8, Batch      1, Loss  0.773816, Average Loss  0.770633, Time  0.249174
2021-09-23 00:34:44.826258 : Epoch  7, Batch    668, Loss  0.759014, Average Loss  0.770792, Time  0.251373
2021-09-23 00:34:46.261766 : Epoch  8, Batch      2, Loss  0.758551, Average Loss  0.770592, Time  0.252294
2021-09-23 00:34:46.737531 : Epoch  7, Batch    669, Loss  0.763673, Average Loss  0.770772, Time  0.254038
2021-09-23 00:34:48.154140 : Epoch  8, Batch      3, Loss  0.783814, Average Loss  0.770660, Time  0.256010
2021-09-23 00:34:48.645517 : Epoch  7, Batch    670, Loss  0.776372, Average Loss  0.770778, Time  0.255454
2021-09-23 00:34:50.027815 : Epoch  8, Batch      4, Loss  0.781366, Average Loss  0.770667, Time  0.248318
2021-09-23 00:34:50.525206 : Epoch  7, Batch    671, Loss  0.759813, Average Loss  0.770727, Time  0.257084
2021-09-23 00:34:51.917097 : Epoch  8, Batch      5, Loss  0.757465, Average Loss  0.770597, Time  0.250234
2021-09-23 00:34:52.434729 : Epoch  7, Batch    672, Loss  0.779255, Average Loss  0.770765, Time  0.251717
2021-09-23 00:34:53.810203 : Epoch  8, Batch      6, Loss  0.773169, Average Loss  0.770595, Time  0.250359
2021-09-23 00:34:54.351977 : Epoch  7, Batch    673, Loss  0.765801, Average Loss  0.770684, Time  0.262650
2021-09-23 00:34:55.706843 : Epoch  8, Batch      7, Loss  0.774063, Average Loss  0.770557, Time  0.257990
2021-09-23 00:34:56.261159 : Epoch  7, Batch    674, Loss  0.771876, Average Loss  0.770637, Time  0.252758
2021-09-23 00:34:57.611982 : Epoch  8, Batch      8, Loss  0.759429, Average Loss  0.770481, Time  0.249279
2021-09-23 00:34:58.173210 : Epoch  7, Batch    675, Loss  0.776072, Average Loss  0.770663, Time  0.251421
2021-09-23 00:34:59.497301 : Epoch  8, Batch      9, Loss  0.773350, Average Loss  0.770413, Time  0.249750
2021-09-23 00:35:00.097109 : Epoch  7, Batch    676, Loss  0.768203, Average Loss  0.770604, Time  0.257879
2021-09-23 00:35:01.384339 : Epoch  8, Batch     10, Loss  0.769183, Average Loss  0.770419, Time  0.252048
2021-09-23 00:35:01.994932 : Epoch  7, Batch    677, Loss  0.764417, Average Loss  0.770475, Time  0.251705
2021-09-23 00:35:03.283314 : Epoch  8, Batch     11, Loss  0.775763, Average Loss  0.770492, Time  0.252263
2021-09-23 00:35:03.891008 : Epoch  7, Batch    678, Loss  0.770791, Average Loss  0.770538, Time  0.251169
2021-09-23 00:35:05.174286 : Epoch  8, Batch     12, Loss  0.770472, Average Loss  0.770521, Time  0.251417
2021-09-23 00:35:07.083710 : Epoch  8, Batch     13, Loss  0.771808, Average Loss  0.770598, Time  0.250299
2021-09-23 00:35:08.980047 : Epoch  8, Batch     14, Loss  0.772633, Average Loss  0.770653, Time  0.248894
2021-09-23 00:35:10.961216 : Epoch  8, Batch     15, Loss  0.767003, Average Loss  0.770647, Time  0.326761
2021-09-23 00:35:12.849256 : Epoch  8, Batch     16, Loss  0.778081, Average Loss  0.770662, Time  0.251390
2021-09-23 00:35:14.741483 : Epoch  8, Batch     17, Loss  0.779434, Average Loss  0.770721, Time  0.251699
2021-09-23 00:35:16.632840 : Epoch  8, Batch     18, Loss  0.773064, Average Loss  0.770729, Time  0.248747
2021-09-23 00:35:18.528963 : Epoch  8, Batch     19, Loss  0.769339, Average Loss  0.770724, Time  0.253204
2021-09-23 00:35:20.402884 : Epoch  8, Batch     20, Loss  0.771790, Average Loss  0.770734, Time  0.248268
2021-09-23 00:35:22.265805 : Epoch  8, Batch     21, Loss  0.767364, Average Loss  0.770722, Time  0.248543
2021-09-23 00:35:24.267191 : Epoch  8, Batch     22, Loss  0.778830, Average Loss  0.770774, Time  0.338006
2021-09-23 00:35:26.164875 : Epoch  8, Batch     23, Loss  0.760705, Average Loss  0.770760, Time  0.248901
2021-09-23 00:35:28.033095 : Epoch  8, Batch     24, Loss  0.773192, Average Loss  0.770711, Time  0.248773
2021-09-23 00:35:29.920889 : Epoch  8, Batch     25, Loss  0.769590, Average Loss  0.770724, Time  0.251339
2021-09-23 00:35:31.820830 : Epoch  8, Batch     26, Loss  0.768659, Average Loss  0.770706, Time  0.258647
2021-09-23 00:35:33.725640 : Epoch  8, Batch     27, Loss  0.783239, Average Loss  0.770762, Time  0.251754
2021-09-23 00:35:35.614266 : Epoch  8, Batch     28, Loss  0.784082, Average Loss  0.770861, Time  0.253409
2021-09-23 00:35:37.567576 : Epoch  8, Batch     29, Loss  0.756460, Average Loss  0.770815, Time  0.325993
2021-09-23 00:35:39.445907 : Epoch  8, Batch     30, Loss  0.768773, Average Loss  0.770815, Time  0.248510
2021-09-23 00:35:41.346448 : Epoch  8, Batch     31, Loss  0.756332, Average Loss  0.770789, Time  0.249437
2021-09-23 00:35:43.241693 : Epoch  8, Batch     32, Loss  0.778558, Average Loss  0.770847, Time  0.251149
2021-09-23 00:35:45.142236 : Epoch  8, Batch     33, Loss  0.768769, Average Loss  0.770867, Time  0.252310
2021-09-23 00:35:47.035032 : Epoch  8, Batch     34, Loss  0.768361, Average Loss  0.770830, Time  0.249176
2021-09-23 00:35:48.940115 : Epoch  8, Batch     35, Loss  0.762978, Average Loss  0.770751, Time  0.248702
2021-09-23 00:35:50.888868 : Epoch  8, Batch     36, Loss  0.785137, Average Loss  0.770828, Time  0.324524
2021-09-23 00:35:52.796140 : Epoch  8, Batch     37, Loss  0.770554, Average Loss  0.770866, Time  0.251732
2021-09-23 00:35:54.692160 : Epoch  8, Batch     38, Loss  0.771176, Average Loss  0.770868, Time  0.258386
2021-09-23 00:35:56.571122 : Epoch  8, Batch     39, Loss  0.772201, Average Loss  0.770854, Time  0.252732
2021-09-23 00:35:58.454890 : Epoch  8, Batch     40, Loss  0.768963, Average Loss  0.770924, Time  0.249942
2021-09-23 00:36:00.328756 : Epoch  8, Batch     41, Loss  0.771030, Average Loss  0.770990, Time  0.248562
2021-09-23 00:36:02.217013 : Epoch  8, Batch     42, Loss  0.774025, Average Loss  0.771031, Time  0.250686
2021-09-23 00:36:04.095844 : Epoch  8, Batch     43, Loss  0.766846, Average Loss  0.770978, Time  0.252158
2021-09-23 00:36:06.055895 : Epoch  8, Batch     44, Loss  0.770754, Average Loss  0.770912, Time  0.324068
2021-09-23 00:36:07.944244 : Epoch  8, Batch     45, Loss  0.765073, Average Loss  0.770875, Time  0.250635
2021-09-23 00:36:09.827835 : Epoch  8, Batch     46, Loss  0.760411, Average Loss  0.770817, Time  0.248305
2021-09-23 00:36:11.716057 : Epoch  8, Batch     47, Loss  0.761256, Average Loss  0.770766, Time  0.251288
2021-09-23 00:36:13.606557 : Epoch  8, Batch     48, Loss  0.765698, Average Loss  0.770762, Time  0.257303
2021-09-23 00:36:14.857811 : CheckPoint: Validation Loss  0.00032473, Best Loss  0.00030514
2021-09-23 00:36:15.547921 : Epoch  8, Batch     49, Loss  0.769905, Average Loss  0.770754, Time  0.257293
2021-09-23 00:36:16.759205 : Epoch  7, Batch    679, Loss  0.776981, Average Loss  0.770599, Time  0.251714
2021-09-23 00:36:17.455846 : Epoch  8, Batch     50, Loss  0.767123, Average Loss  0.770752, Time  0.247918
2021-09-23 00:36:18.668308 : Epoch  7, Batch    680, Loss  0.761554, Average Loss  0.770539, Time  0.261591
2021-09-23 00:36:19.362061 : Epoch  8, Batch     51, Loss  0.761225, Average Loss  0.770722, Time  0.256093
2021-09-23 00:36:20.586453 : Epoch  7, Batch    681, Loss  0.780301, Average Loss  0.770650, Time  0.254671
2021-09-23 00:36:21.296015 : Epoch  8, Batch     52, Loss  0.769531, Average Loss  0.770742, Time  0.262160
2021-09-23 00:36:22.511819 : Epoch  7, Batch    682, Loss  0.765586, Average Loss  0.770582, Time  0.254426
2021-09-23 00:36:23.182397 : Epoch  8, Batch     53, Loss  0.768545, Average Loss  0.770794, Time  0.249650
2021-09-23 00:36:24.408264 : Epoch  7, Batch    683, Loss  0.762506, Average Loss  0.770451, Time  0.251815
2021-09-23 00:36:25.085876 : Epoch  8, Batch     54, Loss  0.777634, Average Loss  0.770802, Time  0.248075
2021-09-23 00:36:26.335069 : Epoch  7, Batch    684, Loss  0.785560, Average Loss  0.770609, Time  0.263923
2021-09-23 00:36:26.988516 : Epoch  8, Batch     55, Loss  0.758369, Average Loss  0.770723, Time  0.255954
2021-09-23 00:36:28.260059 : Epoch  7, Batch    685, Loss  0.772470, Average Loss  0.770644, Time  0.254730
2021-09-23 00:36:28.883423 : Epoch  8, Batch     56, Loss  0.767543, Average Loss  0.770685, Time  0.258407
2021-09-23 00:36:30.170081 : Epoch  7, Batch    686, Loss  0.779119, Average Loss  0.770666, Time  0.252007
2021-09-23 00:36:30.774021 : Epoch  8, Batch     57, Loss  0.755101, Average Loss  0.770650, Time  0.255636
2021-09-23 00:36:32.069767 : Epoch  7, Batch    687, Loss  0.765997, Average Loss  0.770635, Time  0.252892
2021-09-23 00:36:32.678622 : Epoch  8, Batch     58, Loss  0.763311, Average Loss  0.770660, Time  0.257110
2021-09-23 00:36:34.017744 : Epoch  7, Batch    688, Loss  0.774474, Average Loss  0.770675, Time  0.261921
2021-09-23 00:36:34.567181 : Epoch  8, Batch     59, Loss  0.775055, Average Loss  0.770700, Time  0.251150
2021-09-23 00:36:35.921001 : Epoch  7, Batch    689, Loss  0.775555, Average Loss  0.770709, Time  0.251472
2021-09-23 00:36:36.458812 : Epoch  8, Batch     60, Loss  0.766202, Average Loss  0.770676, Time  0.253703
2021-09-23 00:36:37.847832 : Epoch  7, Batch    690, Loss  0.771954, Average Loss  0.770737, Time  0.252296
2021-09-23 00:36:38.360717 : Epoch  8, Batch     61, Loss  0.763837, Average Loss  0.770695, Time  0.250487
2021-09-23 00:36:39.744697 : Epoch  7, Batch    691, Loss  0.764307, Average Loss  0.770620, Time  0.252932
2021-09-23 00:36:40.243883 : Epoch  8, Batch     62, Loss  0.775454, Average Loss  0.770695, Time  0.251757
2021-09-23 00:36:41.633647 : Epoch  7, Batch    692, Loss  0.777926, Average Loss  0.770710, Time  0.251458
2021-09-23 00:36:42.126725 : Epoch  8, Batch     63, Loss  0.754390, Average Loss  0.770618, Time  0.248678
2021-09-23 00:36:43.527651 : Epoch  7, Batch    693, Loss  0.773297, Average Loss  0.770754, Time  0.251929
2021-09-23 00:36:44.000004 : Epoch  8, Batch     64, Loss  0.765647, Average Loss  0.770582, Time  0.250336
2021-09-23 00:36:45.437467 : Epoch  7, Batch    694, Loss  0.779892, Average Loss  0.770820, Time  0.258218
2021-09-23 00:36:45.881842 : Epoch  8, Batch     65, Loss  0.761768, Average Loss  0.770556, Time  0.249062
2021-09-23 00:36:47.359230 : Epoch  7, Batch    695, Loss  0.768298, Average Loss  0.770797, Time  0.255615
2021-09-23 00:36:47.763075 : Epoch  8, Batch     66, Loss  0.779527, Average Loss  0.770654, Time  0.250084
2021-09-23 00:36:49.279039 : Epoch  7, Batch    696, Loss  0.780430, Average Loss  0.770918, Time  0.259376
2021-09-23 00:36:49.644136 : Epoch  8, Batch     67, Loss  0.768433, Average Loss  0.770686, Time  0.249223
2021-09-23 00:36:51.211831 : Epoch  7, Batch    697, Loss  0.770365, Average Loss  0.770922, Time  0.268484
2021-09-23 00:36:51.541330 : Epoch  8, Batch     68, Loss  0.779042, Average Loss  0.770739, Time  0.261000
2021-09-23 00:36:53.111346 : Epoch  7, Batch    698, Loss  0.776227, Average Loss  0.770924, Time  0.253954
2021-09-23 00:36:53.424283 : Epoch  8, Batch     69, Loss  0.777878, Average Loss  0.770800, Time  0.251117
2021-09-23 00:36:55.028854 : Epoch  7, Batch    699, Loss  0.776361, Average Loss  0.770946, Time  0.258981
2021-09-23 00:36:55.315484 : Epoch  8, Batch     70, Loss  0.761549, Average Loss  0.770702, Time  0.248885
2021-09-23 00:36:56.938224 : Epoch  7, Batch    700, Loss  0.775666, Average Loss  0.770958, Time  0.253738
2021-09-23 00:36:57.211281 : Epoch  8, Batch     71, Loss  0.785796, Average Loss  0.770772, Time  0.261113
2021-09-23 00:36:58.854685 : Epoch  7, Batch    701, Loss  0.783508, Average Loss  0.770965, Time  0.257424
2021-09-23 00:36:59.090746 : Epoch  8, Batch     72, Loss  0.767452, Average Loss  0.770772, Time  0.257327
2021-09-23 00:37:00.809524 : Epoch  7, Batch    702, Loss  0.765310, Average Loss  0.770882, Time  0.296807
2021-09-23 00:37:00.993237 : Epoch  8, Batch     73, Loss  0.777135, Average Loss  0.770820, Time  0.277221
2021-09-23 00:37:02.869182 : Epoch  7, Batch    703, Loss  0.768205, Average Loss  0.770879, Time  0.394897
2021-09-23 00:37:02.980060 : Epoch  8, Batch     74, Loss  0.766546, Average Loss  0.770826, Time  0.349548
2021-09-23 00:37:04.980399 : Epoch  7, Batch    704, Loss  0.769807, Average Loss  0.770919, Time  0.461303
2021-09-23 00:37:05.036053 : Epoch  8, Batch     75, Loss  0.778344, Average Loss  0.770889, Time  0.426176
2021-09-23 00:37:07.159743 : Epoch  7, Batch    705, Loss  0.779064, Average Loss  0.770956, Time  0.501003
2021-09-23 00:37:07.189272 : Epoch  8, Batch     76, Loss  0.774247, Average Loss  0.770885, Time  0.471069
2021-09-23 00:37:09.320112 : Epoch  7, Batch    706, Loss  0.772668, Average Loss  0.770984, Time  0.513157
2021-09-23 00:37:09.346105 : Epoch  8, Batch     77, Loss  0.779663, Average Loss  0.770912, Time  0.492876
2021-09-23 00:37:11.457950 : Epoch  7, Batch    707, Loss  0.776313, Average Loss  0.770999, Time  0.506187
2021-09-23 00:37:11.485980 : Epoch  8, Batch     78, Loss  0.774832, Average Loss  0.770937, Time  0.483858
2021-09-23 00:37:13.651901 : Epoch  8, Batch     79, Loss  0.774127, Average Loss  0.770996, Time  0.516241
2021-09-23 00:37:13.683174 : Epoch  7, Batch    708, Loss  0.764419, Average Loss  0.770984, Time  0.506829
2021-09-23 00:37:15.785821 : Epoch  8, Batch     80, Loss  0.772082, Average Loss  0.771022, Time  0.499007
2021-09-23 00:37:15.831551 : Epoch  7, Batch    709, Loss  0.760567, Average Loss  0.770905, Time  0.473232
2021-09-23 00:37:17.903974 : Epoch  8, Batch     81, Loss  0.783535, Average Loss  0.771089, Time  0.479195
2021-09-23 00:37:17.961315 : Epoch  7, Batch    710, Loss  0.767569, Average Loss  0.770862, Time  0.447417
2021-09-23 00:37:20.012016 : Epoch  8, Batch     82, Loss  0.778816, Average Loss  0.771104, Time  0.467244
2021-09-23 00:37:20.061287 : Epoch  7, Batch    711, Loss  0.759577, Average Loss  0.770797, Time  0.439079
2021-09-23 00:37:22.116675 : Epoch  8, Batch     83, Loss  0.776698, Average Loss  0.771134, Time  0.473436
2021-09-23 00:37:22.167149 : Epoch  7, Batch    712, Loss  0.774190, Average Loss  0.770848, Time  0.437537
2021-09-23 00:37:24.289114 : Epoch  8, Batch     84, Loss  0.770697, Average Loss  0.771141, Time  0.506095
2021-09-23 00:37:24.317302 : Epoch  7, Batch    713, Loss  0.777458, Average Loss  0.770865, Time  0.488089
2021-09-23 00:37:26.403226 : Epoch  8, Batch     85, Loss  0.765521, Average Loss  0.771088, Time  0.496772
2021-09-23 00:37:26.438774 : Epoch  7, Batch    714, Loss  0.773127, Average Loss  0.770867, Time  0.466112
2021-09-23 00:37:28.596371 : Epoch  7, Batch    715, Loss  0.778018, Average Loss  0.770896, Time  0.521066
2021-09-23 00:37:28.628530 : Epoch  8, Batch     86, Loss  0.770932, Average Loss  0.771071, Time  0.512456
2021-09-23 00:37:30.777129 : Epoch  7, Batch    716, Loss  0.774798, Average Loss  0.770831, Time  0.517992
2021-09-23 00:37:30.813879 : Epoch  8, Batch     87, Loss  0.779198, Average Loss  0.771127, Time  0.507274
2021-09-23 00:37:30.948689 : Epoch  7, Batch    717, Loss  0.721111, Average Loss  0.770573, Time  0.119835
2021-09-23 00:37:32.841838 : Epoch  8, Batch     88, Loss  0.773679, Average Loss  0.771151, Time  0.389042
2021-09-23 00:37:32.961489 : Epoch  7, Batch    718, Loss  0.779947, Average Loss  0.770592, Time  0.362377
2021-09-23 00:37:34.856300 : Epoch  8, Batch     89, Loss  0.767456, Average Loss  0.771082, Time  0.385918
2021-09-23 00:37:34.969830 : Epoch  7, Batch    719, Loss  0.777701, Average Loss  0.770645, Time  0.355483
2021-09-23 00:37:36.902738 : Epoch  8, Batch     90, Loss  0.770046, Average Loss  0.771087, Time  0.428007
2021-09-23 00:37:36.995852 : Epoch  7, Batch    720, Loss  0.768621, Average Loss  0.770641, Time  0.395641
2021-09-23 00:37:38.970141 : Epoch  8, Batch     91, Loss  0.758720, Average Loss  0.771001, Time  0.427833
2021-09-23 00:37:39.054419 : Epoch  7, Batch    721, Loss  0.785779, Average Loss  0.770669, Time  0.397005
2021-09-23 00:37:40.967676 : Epoch  7, Batch    722, Loss  0.786205, Average Loss  0.770781, Time  0.252715
2021-09-23 00:37:42.891496 : Epoch  7, Batch    723, Loss  0.777968, Average Loss  0.770826, Time  0.256086
2021-09-23 00:37:44.795507 : Epoch  7, Batch    724, Loss  0.774249, Average Loss  0.770856, Time  0.255693
2021-09-23 00:37:46.675384 : Epoch  7, Batch    725, Loss  0.774549, Average Loss  0.770867, Time  0.254671
2021-09-23 00:37:48.585146 : Epoch  7, Batch    726, Loss  0.770444, Average Loss  0.770888, Time  0.253160
2021-09-23 00:37:50.486371 : Epoch  7, Batch    727, Loss  0.778562, Average Loss  0.770972, Time  0.252536
2021-09-23 00:37:52.413416 : Epoch  7, Batch    728, Loss  0.768668, Average Loss  0.770990, Time  0.288262
2021-09-23 00:37:54.319432 : Epoch  7, Batch    729, Loss  0.763884, Average Loss  0.770993, Time  0.263449
2021-09-23 00:37:56.215452 : Epoch  7, Batch    730, Loss  0.781064, Average Loss  0.771069, Time  0.253207
2021-09-23 00:37:58.121537 : Epoch  7, Batch    731, Loss  0.778624, Average Loss  0.771131, Time  0.253783
2021-09-23 00:38:00.024422 : Epoch  7, Batch    732, Loss  0.774357, Average Loss  0.771111, Time  0.252604
2021-09-23 00:38:01.926320 : Epoch  7, Batch    733, Loss  0.778248, Average Loss  0.771139, Time  0.256254
2021-09-23 00:38:03.831741 : Epoch  7, Batch    734, Loss  0.771741, Average Loss  0.771139, Time  0.251768
2021-09-23 00:38:05.835854 : Epoch  7, Batch    735, Loss  0.763783, Average Loss  0.771086, Time  0.329847
2021-09-23 00:38:07.746786 : Epoch  7, Batch    736, Loss  0.759876, Average Loss  0.771029, Time  0.254238
2021-09-23 00:38:09.658870 : Epoch  7, Batch    737, Loss  0.771155, Average Loss  0.771038, Time  0.252046
2021-09-23 00:38:11.545766 : Epoch  7, Batch    738, Loss  0.776772, Average Loss  0.771087, Time  0.252106
2021-09-23 00:38:13.449778 : Epoch  7, Batch    739, Loss  0.778133, Average Loss  0.771115, Time  0.251472
2021-09-23 00:38:15.372314 : Epoch  7, Batch    740, Loss  0.774670, Average Loss  0.771155, Time  0.255559
2021-09-23 00:38:17.273563 : Epoch  7, Batch    741, Loss  0.782714, Average Loss  0.771176, Time  0.251504
2021-09-23 00:38:19.281461 : Epoch  7, Batch    742, Loss  0.765821, Average Loss  0.771127, Time  0.326802
2021-09-23 00:38:21.188107 : Epoch  7, Batch    743, Loss  0.771821, Average Loss  0.771096, Time  0.251450
2021-09-23 00:38:23.101810 : Epoch  7, Batch    744, Loss  0.775827, Average Loss  0.771128, Time  0.256261
2021-09-23 00:38:25.009356 : Epoch  7, Batch    745, Loss  0.772877, Average Loss  0.771204, Time  0.253222
2021-09-23 00:38:26.921818 : Epoch  7, Batch    746, Loss  0.765457, Average Loss  0.771158, Time  0.253108
2021-09-23 00:38:28.845208 : Epoch  7, Batch    747, Loss  0.771284, Average Loss  0.771189, Time  0.256859
2021-09-23 00:38:30.832796 : Epoch  7, Batch    748, Loss  0.769514, Average Loss  0.771200, Time  0.334953
2021-09-23 00:38:32.765923 : Epoch  7, Batch    749, Loss  0.760378, Average Loss  0.771111, Time  0.252702
2021-09-23 00:38:36.456994 : Epoch  7, Batch    750, Loss  0.758965, Average Loss  0.771048, Time  0.265785
2021-09-23 00:38:37.201779 : CheckPoint: Validation Loss  0.00014643, Best Loss  0.00014643
2021-09-23 00:38:37.243557 : Best Model Updated
2021-09-23 00:38:38.381480 : Epoch  7, Batch    751, Loss  0.759337, Average Loss  0.771040, Time  0.268031
2021-09-23 00:38:40.316262 : Epoch  7, Batch    752, Loss  0.779739, Average Loss  0.771074, Time  0.255370
2021-09-23 00:38:42.242875 : Epoch  7, Batch    753, Loss  0.772471, Average Loss  0.771071, Time  0.255423
2021-09-23 00:38:43.102823 : Epoch  4, Batch    417, Loss  0.865699, Average Loss  0.870229, Time  0.468892
2021-09-23 00:38:44.216074 : Epoch  7, Batch    754, Loss  0.758499, Average Loss  0.770988, Time  0.323168
2021-09-23 00:38:46.109548 : Epoch  7, Batch    755, Loss  0.762963, Average Loss  0.770924, Time  0.254055
2021-09-23 00:38:48.009991 : Epoch  7, Batch    756, Loss  0.768865, Average Loss  0.770899, Time  0.257732
2021-09-23 00:38:48.112064 : Epoch  4, Batch    418, Loss  0.858335, Average Loss  0.870193, Time  0.419085
2021-09-23 00:38:49.522521 : CheckPoint: Validation Loss  0.00031624, Best Loss  0.00030606
2021-09-23 00:38:49.931608 : Epoch  7, Batch    757, Loss  0.779676, Average Loss  0.770943, Time  0.257697
2021-09-23 00:38:51.416505 : Epoch  8, Batch     92, Loss  0.776558, Average Loss  0.771044, Time  0.249378
2021-09-23 00:38:51.854822 : Epoch  7, Batch    758, Loss  0.782844, Average Loss  0.771039, Time  0.253022
2021-09-23 00:38:53.172094 : Epoch  4, Batch    419, Loss  0.878664, Average Loss  0.870259, Time  0.414536
2021-09-23 00:38:53.288306 : Epoch  8, Batch     93, Loss  0.772107, Average Loss  0.771015, Time  0.254849
2021-09-23 00:38:53.758761 : Epoch  7, Batch    759, Loss  0.759923, Average Loss  0.770997, Time  0.251732
2021-09-23 00:38:55.159493 : Epoch  8, Batch     94, Loss  0.769427, Average Loss  0.770979, Time  0.249836
2021-09-23 00:38:55.658230 : Epoch  7, Batch    760, Loss  0.756390, Average Loss  0.770917, Time  0.252639
2021-09-23 00:38:57.050899 : Epoch  8, Batch     95, Loss  0.768319, Average Loss  0.770977, Time  0.249087
2021-09-23 00:38:57.574838 : Epoch  7, Batch    761, Loss  0.766927, Average Loss  0.770855, Time  0.251626
2021-09-23 00:38:58.144032 : Epoch  4, Batch    420, Loss  0.859449, Average Loss  0.870207, Time  0.413520
2021-09-23 00:38:58.947517 : Epoch  8, Batch     96, Loss  0.760085, Average Loss  0.770962, Time  0.255332
2021-09-23 00:38:59.476056 : Epoch  7, Batch    762, Loss  0.769576, Average Loss  0.770899, Time  0.252075
2021-09-23 00:39:00.844592 : Epoch  8, Batch     97, Loss  0.764812, Average Loss  0.770953, Time  0.250013
2021-09-23 00:39:01.379722 : Epoch  7, Batch    763, Loss  0.775558, Average Loss  0.770935, Time  0.252496
2021-09-23 00:39:02.723854 : Epoch  8, Batch     98, Loss  0.764901, Average Loss  0.770903, Time  0.251496
2021-09-23 00:39:03.122763 : Epoch  4, Batch    421, Loss  0.879352, Average Loss  0.870304, Time  0.414091
2021-09-23 00:39:03.278327 : Epoch  7, Batch    764, Loss  0.787981, Average Loss  0.770957, Time  0.253334
2021-09-23 00:39:04.614752 : Epoch  8, Batch     99, Loss  0.767979, Average Loss  0.770885, Time  0.251024
2021-09-23 00:39:05.157238 : Epoch  7, Batch    765, Loss  0.773895, Average Loss  0.770986, Time  0.255330
2021-09-23 00:39:06.498857 : Epoch  8, Batch    100, Loss  0.772988, Average Loss  0.770901, Time  0.253596
2021-09-23 00:39:07.066383 : Epoch  7, Batch    766, Loss  0.771859, Average Loss  0.770981, Time  0.254386
2021-09-23 00:39:08.085825 : Epoch  4, Batch    422, Loss  0.865751, Average Loss  0.870266, Time  0.413376
2021-09-23 00:39:08.392710 : Epoch  8, Batch    101, Loss  0.772319, Average Loss  0.770942, Time  0.248914
2021-09-23 00:39:08.969948 : Epoch  7, Batch    767, Loss  0.767819, Average Loss  0.770962, Time  0.252285
2021-09-23 00:39:10.276543 : Epoch  8, Batch    102, Loss  0.761149, Average Loss  0.770956, Time  0.250664
2021-09-23 00:39:10.875410 : Epoch  7, Batch    768, Loss  0.776419, Average Loss  0.770983, Time  0.252770
2021-09-23 00:39:12.183772 : Epoch  8, Batch    103, Loss  0.772596, Average Loss  0.771025, Time  0.249498
2021-09-23 00:39:12.799025 : Epoch  7, Batch    769, Loss  0.773039, Average Loss  0.771030, Time  0.256795
2021-09-23 00:39:13.050984 : Epoch  4, Batch    423, Loss  0.878607, Average Loss  0.870259, Time  0.413104
2021-09-23 00:39:14.083865 : Epoch  8, Batch    104, Loss  0.775125, Average Loss  0.771032, Time  0.252410
2021-09-23 00:39:14.727155 : Epoch  7, Batch    770, Loss  0.754547, Average Loss  0.770966, Time  0.260108
2021-09-23 00:39:15.977042 : Epoch  8, Batch    105, Loss  0.776118, Average Loss  0.771046, Time  0.256090
2021-09-23 00:39:16.644069 : Epoch  7, Batch    771, Loss  0.781385, Average Loss  0.770993, Time  0.259430
2021-09-23 00:39:17.867961 : Epoch  8, Batch    106, Loss  0.763772, Average Loss  0.770949, Time  0.255388
2021-09-23 00:39:18.009755 : Epoch  4, Batch    424, Loss  0.879742, Average Loss  0.870285, Time  0.413534
2021-09-23 00:39:18.572028 : Epoch  7, Batch    772, Loss  0.768857, Average Loss  0.770980, Time  0.251978
2021-09-23 00:39:19.778101 : Epoch  8, Batch    107, Loss  0.770275, Average Loss  0.770962, Time  0.267118
2021-09-23 00:39:20.471037 : Epoch  7, Batch    773, Loss  0.776735, Average Loss  0.770950, Time  0.258690
2021-09-23 00:39:21.674536 : Epoch  8, Batch    108, Loss  0.777119, Average Loss  0.771020, Time  0.250649
2021-09-23 00:39:22.384316 : Epoch  7, Batch    774, Loss  0.771152, Average Loss  0.770897, Time  0.251623
2021-09-23 00:39:22.970015 : Epoch  4, Batch    425, Loss  0.867704, Average Loss  0.870313, Time  0.413871
2021-09-23 00:39:23.585842 : Epoch  8, Batch    109, Loss  0.783886, Average Loss  0.771078, Time  0.248545
2021-09-23 00:39:24.296985 : Epoch  7, Batch    775, Loss  0.763867, Average Loss  0.770877, Time  0.252174
2021-09-23 00:39:25.504880 : Epoch  8, Batch    110, Loss  0.767879, Average Loss  0.771031, Time  0.250884
2021-09-23 00:39:26.203403 : Epoch  7, Batch    776, Loss  0.770846, Average Loss  0.770884, Time  0.251870
2021-09-23 00:39:27.404796 : Epoch  8, Batch    111, Loss  0.770966, Average Loss  0.771053, Time  0.249135
2021-09-23 00:39:27.998037 : Epoch  4, Batch    426, Loss  0.881029, Average Loss  0.870368, Time  0.461348
2021-09-23 00:39:28.114377 : Epoch  7, Batch    777, Loss  0.759844, Average Loss  0.770860, Time  0.254345
2021-09-23 00:39:29.290335 : Epoch  8, Batch    112, Loss  0.764814, Average Loss  0.771018, Time  0.250342
2021-09-23 00:39:30.004684 : Epoch  7, Batch    778, Loss  0.771420, Average Loss  0.770890, Time  0.254459
2021-09-23 00:39:31.191774 : Epoch  8, Batch    113, Loss  0.768858, Average Loss  0.771058, Time  0.251578
2021-09-23 00:39:32.962720 : Epoch  4, Batch    427, Loss  0.861294, Average Loss  0.870304, Time  0.413072
2021-09-23 00:39:33.089817 : Epoch  8, Batch    114, Loss  0.768817, Average Loss  0.771073, Time  0.247955
2021-09-23 00:39:34.993272 : Epoch  8, Batch    115, Loss  0.761496, Average Loss  0.771031, Time  0.250880
2021-09-23 00:39:36.886107 : Epoch  8, Batch    116, Loss  0.775543, Average Loss  0.771031, Time  0.250734
2021-09-23 00:39:37.936758 : Epoch  4, Batch    428, Loss  0.864689, Average Loss  0.870318, Time  0.413408
2021-09-23 00:39:38.837655 : Epoch  8, Batch    117, Loss  0.769718, Average Loss  0.770983, Time  0.323714
2021-09-23 00:39:40.717455 : Epoch  8, Batch    118, Loss  0.775429, Average Loss  0.771015, Time  0.248057
2021-09-23 00:39:42.611826 : Epoch  8, Batch    119, Loss  0.767729, Average Loss  0.771001, Time  0.252496
2021-09-23 00:39:42.922412 : Epoch  4, Batch    429, Loss  0.863338, Average Loss  0.870232, Time  0.415895
2021-09-23 00:39:44.524286 : Epoch  8, Batch    120, Loss  0.773990, Average Loss  0.771007, Time  0.252603
2021-09-23 00:39:46.419962 : Epoch  8, Batch    121, Loss  0.769766, Average Loss  0.770984, Time  0.251408
2021-09-23 00:39:47.886082 : Epoch  4, Batch    430, Loss  0.874778, Average Loss  0.870259, Time  0.414207
2021-09-23 00:39:48.310946 : Epoch  8, Batch    122, Loss  0.755777, Average Loss  0.770932, Time  0.248765
2021-09-23 00:39:50.213035 : Epoch  8, Batch    123, Loss  0.774270, Average Loss  0.770941, Time  0.254750
2021-09-23 00:39:52.175211 : Epoch  8, Batch    124, Loss  0.766617, Average Loss  0.770959, Time  0.326426
2021-09-23 00:39:52.852131 : Epoch  4, Batch    431, Loss  0.854142, Average Loss  0.870166, Time  0.413986
2021-09-23 00:39:54.049343 : Epoch  8, Batch    125, Loss  0.755451, Average Loss  0.770855, Time  0.249317
2021-09-23 00:39:55.944277 : Epoch  8, Batch    126, Loss  0.763122, Average Loss  0.770808, Time  0.250633
2021-09-23 00:39:57.831025 : Epoch  4, Batch    432, Loss  0.871233, Average Loss  0.870223, Time  0.413810
2021-09-23 00:39:57.849562 : Epoch  8, Batch    127, Loss  0.769472, Average Loss  0.770811, Time  0.255383
2021-09-23 00:39:59.749176 : Epoch  8, Batch    128, Loss  0.776385, Average Loss  0.770827, Time  0.251519
2021-09-23 00:40:01.647840 : Epoch  8, Batch    129, Loss  0.766934, Average Loss  0.770792, Time  0.253015
2021-09-23 00:40:02.808730 : Epoch  4, Batch    433, Loss  0.872849, Average Loss  0.870166, Time  0.414205
2021-09-23 00:40:03.520928 : Epoch  8, Batch    130, Loss  0.763810, Average Loss  0.770750, Time  0.250628
2021-09-23 00:40:05.488620 : Epoch  8, Batch    131, Loss  0.770632, Average Loss  0.770698, Time  0.324088
2021-09-23 00:40:07.377670 : Epoch  8, Batch    132, Loss  0.774816, Average Loss  0.770727, Time  0.248798
2021-09-23 00:40:07.788037 : Epoch  4, Batch    434, Loss  0.850863, Average Loss  0.870048, Time  0.413597
2021-09-23 00:40:09.253008 : Epoch  8, Batch    133, Loss  0.765690, Average Loss  0.770723, Time  0.250156
2021-09-23 00:40:11.133908 : Epoch  8, Batch    134, Loss  0.770841, Average Loss  0.770750, Time  0.249710
2021-09-23 00:40:12.777984 : Epoch  4, Batch    435, Loss  0.881801, Average Loss  0.870023, Time  0.447802
2021-09-23 00:40:13.044405 : Epoch  8, Batch    135, Loss  0.768566, Average Loss  0.770722, Time  0.247877
2021-09-23 00:40:14.924041 : Epoch  8, Batch    136, Loss  0.768680, Average Loss  0.770746, Time  0.260973
2021-09-23 00:40:16.817802 : Epoch  8, Batch    137, Loss  0.779160, Average Loss  0.770830, Time  0.248973
2021-09-23 00:40:17.772830 : Epoch  4, Batch    436, Loss  0.874723, Average Loss  0.870060, Time  0.413829
2021-09-23 00:40:18.718890 : Epoch  8, Batch    138, Loss  0.757385, Average Loss  0.770782, Time  0.249033
2021-09-23 00:40:20.714332 : Epoch  8, Batch    139, Loss  0.767744, Average Loss  0.770768, Time  0.328601
2021-09-23 00:40:22.596234 : Epoch  8, Batch    140, Loss  0.761187, Average Loss  0.770662, Time  0.250689
2021-09-23 00:40:22.732053 : Epoch  4, Batch    437, Loss  0.874256, Average Loss  0.870045, Time  0.413372
2021-09-23 00:40:24.484780 : Epoch  8, Batch    141, Loss  0.766096, Average Loss  0.770644, Time  0.255109
2021-09-23 00:40:26.405267 : Epoch  8, Batch    142, Loss  0.774102, Average Loss  0.770635, Time  0.263591
2021-09-23 00:40:27.707987 : Epoch  4, Batch    438, Loss  0.871604, Average Loss  0.870088, Time  0.413902
2021-09-23 00:40:28.298659 : Epoch  8, Batch    143, Loss  0.753522, Average Loss  0.770553, Time  0.255476
2021-09-23 00:40:30.189876 : Epoch  8, Batch    144, Loss  0.761252, Average Loss  0.770487, Time  0.248440
2021-09-23 00:40:32.067987 : Epoch  8, Batch    145, Loss  0.782742, Average Loss  0.770514, Time  0.252248
2021-09-23 00:40:32.672857 : Epoch  4, Batch    439, Loss  0.871538, Average Loss  0.870107, Time  0.412884
2021-09-23 00:40:34.034897 : Epoch  8, Batch    146, Loss  0.769831, Average Loss  0.770491, Time  0.326780
2021-09-23 00:40:35.943647 : Epoch  8, Batch    147, Loss  0.771001, Average Loss  0.770452, Time  0.267023
2021-09-23 00:40:37.653112 : Epoch  4, Batch    440, Loss  0.897373, Average Loss  0.870249, Time  0.413202
2021-09-23 00:40:37.841792 : Epoch  8, Batch    148, Loss  0.773488, Average Loss  0.770484, Time  0.252296
2021-09-23 00:40:39.704622 : Epoch  8, Batch    149, Loss  0.772274, Average Loss  0.770495, Time  0.248231
2021-09-23 00:40:41.230667 : CheckPoint: Validation Loss  0.00032155, Best Loss  0.00030514
2021-09-23 00:40:41.598575 : Epoch  8, Batch    150, Loss  0.764896, Average Loss  0.770501, Time  0.248395
2021-09-23 00:40:42.617772 : Epoch  4, Batch    441, Loss  0.850799, Average Loss  0.870144, Time  0.413308
2021-09-23 00:40:43.145270 : Epoch  7, Batch    779, Loss  0.761954, Average Loss  0.770790, Time  0.257756
2021-09-23 00:40:43.482284 : Epoch  8, Batch    151, Loss  0.776125, Average Loss  0.770559, Time  0.253441
2021-09-23 00:40:45.040137 : Epoch  7, Batch    780, Loss  0.762581, Average Loss  0.770723, Time  0.253523
2021-09-23 00:40:45.366471 : Epoch  8, Batch    152, Loss  0.769405, Average Loss  0.770595, Time  0.251566
2021-09-23 00:40:46.961709 : Epoch  7, Batch    781, Loss  0.765582, Average Loss  0.770702, Time  0.261633
2021-09-23 00:40:47.229608 : Epoch  8, Batch    153, Loss  0.760817, Average Loss  0.770540, Time  0.251092
2021-09-23 00:40:47.594853 : Epoch  4, Batch    442, Loss  0.871191, Average Loss  0.870103, Time  0.414316
2021-09-23 00:40:48.872984 : Epoch  7, Batch    782, Loss  0.771480, Average Loss  0.770743, Time  0.253518
2021-09-23 00:40:49.135378 : Epoch  8, Batch    154, Loss  0.772667, Average Loss  0.770530, Time  0.261621
2021-09-23 00:40:50.791911 : Epoch  7, Batch    783, Loss  0.770723, Average Loss  0.770818, Time  0.260556
2021-09-23 00:40:51.016959 : Epoch  8, Batch    155, Loss  0.758893, Average Loss  0.770386, Time  0.262869
2021-09-23 00:40:52.619030 : Epoch  4, Batch    443, Loss  0.866298, Average Loss  0.870137, Time  0.413139
2021-09-23 00:40:52.764522 : Epoch  7, Batch    784, Loss  0.769397, Average Loss  0.770811, Time  0.307215
2021-09-23 00:40:52.940393 : Epoch  8, Batch    156, Loss  0.758540, Average Loss  0.770286, Time  0.280851
2021-09-23 00:40:54.790869 : Epoch  7, Batch    785, Loss  0.777076, Average Loss  0.770860, Time  0.385134
2021-09-23 00:40:54.913137 : Epoch  8, Batch    157, Loss  0.759737, Average Loss  0.770180, Time  0.341856
2021-09-23 00:40:56.804806 : Epoch  7, Batch    786, Loss  0.782769, Average Loss  0.770879, Time  0.363942
2021-09-23 00:40:56.936964 : Epoch  8, Batch    158, Loss  0.764649, Average Loss  0.770117, Time  0.328638
2021-09-23 00:40:57.622840 : Epoch  4, Batch    444, Loss  0.870118, Average Loss  0.870215, Time  0.453945
2021-09-23 00:40:58.899868 : Epoch  7, Batch    787, Loss  0.778957, Average Loss  0.770945, Time  0.435131
2021-09-23 00:40:58.942706 : Saving Model after 7-th Epoch.
2021-09-23 00:40:58.980987 : Epoch  8, Batch    159, Loss  0.771247, Average Loss  0.770083, Time  0.402439
2021-09-23 00:40:59.755760 : Epoch Finished.
2021-09-23 00:41:00.877450 : Epoch  8, Batch    160, Loss  0.772255, Average Loss  0.770129, Time  0.252734
2021-09-23 00:41:01.645309 : Batch Shuffled
2021-09-23 00:41:02.589590 : Epoch  4, Batch    445, Loss  0.854253, Average Loss  0.870157, Time  0.413398
2021-09-23 00:41:02.769757 : Epoch  8, Batch    161, Loss  0.760395, Average Loss  0.770087, Time  0.260216
2021-09-23 00:41:03.568573 : Epoch  8, Batch      1, Loss  0.775690, Average Loss  0.770981, Time  0.262042
2021-09-23 00:41:05.502984 : Epoch  8, Batch      2, Loss  0.772601, Average Loss  0.770986, Time  0.264015
2021-09-23 00:41:06.415589 : Epoch  8, Batch    162, Loss  0.781326, Average Loss  0.770133, Time  0.249099
2021-09-23 00:41:07.426267 : Epoch  8, Batch      3, Loss  0.784148, Average Loss  0.771015, Time  0.252294
2021-09-23 00:41:07.568188 : Epoch  4, Batch    446, Loss  0.863430, Average Loss  0.870125, Time  0.414069
2021-09-23 00:41:08.305049 : Epoch  8, Batch    163, Loss  0.774699, Average Loss  0.770145, Time  0.256628
2021-09-23 00:41:09.328145 : Epoch  8, Batch      4, Loss  0.774139, Average Loss  0.771037, Time  0.257017
2021-09-23 00:41:10.193560 : Epoch  8, Batch    164, Loss  0.770549, Average Loss  0.770112, Time  0.251796
2021-09-23 00:41:11.245519 : Epoch  8, Batch      5, Loss  0.773692, Average Loss  0.771059, Time  0.251789
2021-09-23 00:41:12.112868 : Epoch  8, Batch    165, Loss  0.770270, Average Loss  0.770099, Time  0.249598
2021-09-23 00:41:12.543741 : Epoch  4, Batch    447, Loss  0.874249, Average Loss  0.870087, Time  0.413029
2021-09-23 00:41:13.148851 : Epoch  8, Batch      6, Loss  0.771204, Average Loss  0.770990, Time  0.254148
2021-09-23 00:41:14.005259 : Epoch  8, Batch    166, Loss  0.782864, Average Loss  0.770131, Time  0.253196
2021-09-23 00:41:15.133195 : Epoch  8, Batch      7, Loss  0.771563, Average Loss  0.770885, Time  0.278074
2021-09-23 00:41:15.922935 : Epoch  8, Batch    167, Loss  0.756117, Average Loss  0.769999, Time  0.252200
2021-09-23 00:41:17.064614 : Epoch  8, Batch      8, Loss  0.755083, Average Loss  0.770831, Time  0.252461
2021-09-23 00:41:17.493944 : Epoch  4, Batch    448, Loss  0.875848, Average Loss  0.870063, Time  0.413149
2021-09-23 00:41:17.822916 : Epoch  8, Batch    168, Loss  0.769442, Average Loss  0.770036, Time  0.260175
2021-09-23 00:41:18.971966 : Epoch  8, Batch      9, Loss  0.764720, Average Loss  0.770781, Time  0.254880
2021-09-23 00:41:19.719889 : Epoch  8, Batch    169, Loss  0.765419, Average Loss  0.769971, Time  0.248959
2021-09-23 00:41:20.872038 : Epoch  8, Batch     10, Loss  0.778347, Average Loss  0.770793, Time  0.251873
2021-09-23 00:41:21.631190 : Epoch  8, Batch    170, Loss  0.759361, Average Loss  0.769933, Time  0.254846
2021-09-23 00:41:22.447733 : Epoch  4, Batch    449, Loss  0.872638, Average Loss  0.870104, Time  0.413307
2021-09-23 00:41:22.776785 : Epoch  8, Batch     11, Loss  0.761684, Average Loss  0.770707, Time  0.253603
2021-09-23 00:41:23.530335 : Epoch  8, Batch    171, Loss  0.777650, Average Loss  0.769962, Time  0.249345
2021-09-23 00:41:24.668962 : Epoch  8, Batch     12, Loss  0.776363, Average Loss  0.770794, Time  0.255885
2021-09-23 00:41:25.456535 : Epoch  8, Batch    172, Loss  0.771839, Average Loss  0.769982, Time  0.248858
2021-09-23 00:41:26.581044 : Epoch  8, Batch     13, Loss  0.755853, Average Loss  0.770742, Time  0.253098
2021-09-23 00:41:27.347974 : Epoch  8, Batch    173, Loss  0.771945, Average Loss  0.769987, Time  0.250935
2021-09-23 00:41:27.433990 : Epoch  4, Batch    450, Loss  0.862475, Average Loss  0.870091, Time  0.413152
2021-09-23 00:41:28.518254 : Epoch  8, Batch     14, Loss  0.762609, Average Loss  0.770718, Time  0.275024
2021-09-23 00:41:29.232169 : Epoch  8, Batch    174, Loss  0.770412, Average Loss  0.769946, Time  0.248594
2021-09-23 00:41:30.435868 : Epoch  8, Batch     15, Loss  0.769487, Average Loss  0.770678, Time  0.251931
2021-09-23 00:41:31.129293 : Epoch  8, Batch    175, Loss  0.765109, Average Loss  0.769888, Time  0.248411
2021-09-23 00:41:32.344920 : Epoch  8, Batch     16, Loss  0.777971, Average Loss  0.770698, Time  0.253745
2021-09-23 00:41:32.400732 : Epoch  4, Batch    451, Loss  0.874627, Average Loss  0.870076, Time  0.413291
2021-09-23 00:41:33.031636 : Epoch  8, Batch    176, Loss  0.776599, Average Loss  0.769954, Time  0.251816
2021-09-23 00:41:34.276007 : Epoch  8, Batch     17, Loss  0.774376, Average Loss  0.770724, Time  0.259144
2021-09-23 00:41:34.916338 : Epoch  8, Batch    177, Loss  0.777568, Average Loss  0.770015, Time  0.250635
2021-09-23 00:41:36.195797 : Epoch  8, Batch     18, Loss  0.767857, Average Loss  0.770754, Time  0.255834
2021-09-23 00:41:36.815891 : Epoch  8, Batch    178, Loss  0.763134, Average Loss  0.769925, Time  0.249164
2021-09-23 00:41:37.370999 : Epoch  4, Batch    452, Loss  0.849045, Average Loss  0.869989, Time  0.413528
2021-09-23 00:41:38.142505 : Epoch  8, Batch     19, Loss  0.763566, Average Loss  0.770677, Time  0.269550
2021-09-23 00:41:38.719592 : Epoch  8, Batch    179, Loss  0.789088, Average Loss  0.770044, Time  0.248604
2021-09-23 00:41:40.051962 : Epoch  8, Batch     20, Loss  0.777440, Average Loss  0.770682, Time  0.256066
2021-09-23 00:41:40.613947 : Epoch  8, Batch    180, Loss  0.757869, Average Loss  0.770009, Time  0.257122
2021-09-23 00:41:41.954473 : Epoch  8, Batch     21, Loss  0.763769, Average Loss  0.770674, Time  0.255210
2021-09-23 00:41:42.384948 : Epoch  4, Batch    453, Loss  0.876796, Average Loss  0.869978, Time  0.463557
2021-09-23 00:41:42.497412 : Epoch  8, Batch    181, Loss  0.772718, Average Loss  0.770057, Time  0.249456
2021-09-23 00:41:43.862036 : Epoch  8, Batch     22, Loss  0.767796, Average Loss  0.770622, Time  0.255254
2021-09-23 00:41:44.393910 : Epoch  8, Batch    182, Loss  0.778271, Average Loss  0.770148, Time  0.252367
2021-09-23 00:41:45.786084 : Epoch  8, Batch     23, Loss  0.765928, Average Loss  0.770630, Time  0.252336
2021-09-23 00:41:46.279878 : Epoch  8, Batch    183, Loss  0.772510, Average Loss  0.770126, Time  0.255949
2021-09-23 00:41:47.342748 : Epoch  4, Batch    454, Loss  0.879963, Average Loss  0.870017, Time  0.420222
2021-09-23 00:41:47.717406 : Epoch  8, Batch     24, Loss  0.767765, Average Loss  0.770561, Time  0.269391
2021-09-23 00:41:48.185866 : Epoch  8, Batch    184, Loss  0.767363, Average Loss  0.770033, Time  0.248359
2021-09-23 00:41:49.636322 : Epoch  8, Batch     25, Loss  0.769285, Average Loss  0.770530, Time  0.254143
2021-09-23 00:41:50.089808 : Epoch  8, Batch    185, Loss  0.759158, Average Loss  0.769963, Time  0.252125
2021-09-23 00:41:51.542982 : Epoch  8, Batch     26, Loss  0.774553, Average Loss  0.770559, Time  0.255933
2021-09-23 00:41:51.962024 : Epoch  8, Batch    186, Loss  0.772717, Average Loss  0.769906, Time  0.248511
2021-09-23 00:41:52.324764 : Epoch  4, Batch    455, Loss  0.872143, Average Loss  0.869964, Time  0.414676
2021-09-23 00:41:53.438519 : Epoch  8, Batch     27, Loss  0.776659, Average Loss  0.770620, Time  0.251956
2021-09-23 00:41:53.842122 : Epoch  8, Batch    187, Loss  0.772448, Average Loss  0.769871, Time  0.256342
2021-09-23 00:41:55.352039 : Epoch  8, Batch     28, Loss  0.773740, Average Loss  0.770628, Time  0.252210
2021-09-23 00:41:55.718266 : Epoch  8, Batch    188, Loss  0.762590, Average Loss  0.769859, Time  0.250488
2021-09-23 00:41:57.275326 : Epoch  8, Batch     29, Loss  0.769645, Average Loss  0.770640, Time  0.257563
2021-09-23 00:41:57.327046 : Epoch  4, Batch    456, Loss  0.862102, Average Loss  0.869813, Time  0.414067
2021-09-23 00:41:57.607816 : Epoch  8, Batch    189, Loss  0.769238, Average Loss  0.769819, Time  0.252760
2021-09-23 00:41:59.183869 : Epoch  8, Batch     30, Loss  0.752773, Average Loss  0.770516, Time  0.251849
2021-09-23 00:41:59.495898 : Epoch  8, Batch    190, Loss  0.772707, Average Loss  0.769820, Time  0.249731
2021-09-23 00:42:01.079688 : Epoch  8, Batch     31, Loss  0.762025, Average Loss  0.770483, Time  0.253376
2021-09-23 00:42:01.379965 : Epoch  8, Batch    191, Loss  0.772752, Average Loss  0.769844, Time  0.252573
2021-09-23 00:42:02.300820 : Epoch  4, Batch    457, Loss  0.866512, Average Loss  0.869802, Time  0.413781
2021-09-23 00:42:02.977943 : Epoch  8, Batch     32, Loss  0.767592, Average Loss  0.770385, Time  0.260455
2021-09-23 00:42:04.949611 : Epoch  8, Batch     33, Loss  0.774623, Average Loss  0.770433, Time  0.329468
2021-09-23 00:42:07.012355 : Epoch  8, Batch     34, Loss  0.771028, Average Loss  0.770399, Time  0.253752
2021-09-23 00:42:07.267989 : Epoch  4, Batch    458, Loss  0.881945, Average Loss  0.869816, Time  0.413337
2021-09-23 00:42:09.154161 : Epoch  8, Batch     35, Loss  0.767988, Average Loss  0.770416, Time  0.254511
2021-09-23 00:42:11.083731 : Epoch  8, Batch     36, Loss  0.768248, Average Loss  0.770458, Time  0.276795
2021-09-23 00:42:12.238994 : Epoch  4, Batch    459, Loss  0.869179, Average Loss  0.869793, Time  0.413772
2021-09-23 00:42:13.056859 : Epoch  8, Batch     37, Loss  0.766294, Average Loss  0.770461, Time  0.308025
2021-09-23 00:42:15.068169 : Epoch  8, Batch     38, Loss  0.769256, Average Loss  0.770407, Time  0.269755
2021-09-23 00:42:17.218998 : Epoch  4, Batch    460, Loss  0.874435, Average Loss  0.869792, Time  0.413212
2021-09-23 00:42:17.248231 : Epoch  8, Batch     39, Loss  0.779476, Average Loss  0.770442, Time  0.326138
2021-09-23 00:42:19.252489 : Epoch  8, Batch     40, Loss  0.768133, Average Loss  0.770407, Time  0.264319
2021-09-23 00:42:21.175912 : Epoch  8, Batch     41, Loss  0.772284, Average Loss  0.770454, Time  0.254382
2021-09-23 00:42:22.174022 : Epoch  4, Batch    461, Loss  0.869668, Average Loss  0.869809, Time  0.413054
2021-09-23 00:42:23.231878 : Epoch  8, Batch     42, Loss  0.762976, Average Loss  0.770439, Time  0.334108
2021-09-23 00:42:25.186295 : Epoch  8, Batch     43, Loss  0.757827, Average Loss  0.770391, Time  0.255102
2021-09-23 00:42:27.082810 : Epoch  8, Batch     44, Loss  0.767092, Average Loss  0.770447, Time  0.252594
2021-09-23 00:42:27.147062 : Epoch  4, Batch    462, Loss  0.877646, Average Loss  0.869863, Time  0.413500
2021-09-23 00:42:28.995598 : Epoch  8, Batch     45, Loss  0.777195, Average Loss  0.770535, Time  0.259939
2021-09-23 00:42:30.916968 : Epoch  8, Batch     46, Loss  0.757196, Average Loss  0.770521, Time  0.261450
2021-09-23 00:42:32.134751 : Epoch  4, Batch    463, Loss  0.868468, Average Loss  0.869901, Time  0.459032
2021-09-23 00:42:32.821983 : Epoch  8, Batch     47, Loss  0.768444, Average Loss  0.770518, Time  0.251878
2021-09-23 00:42:34.805324 : Epoch  8, Batch     48, Loss  0.770854, Average Loss  0.770501, Time  0.334587
2021-09-23 00:42:36.706054 : Epoch  8, Batch     49, Loss  0.770669, Average Loss  0.770495, Time  0.267247
2021-09-23 00:42:37.174734 : Epoch  4, Batch    464, Loss  0.876984, Average Loss  0.869918, Time  0.413462
2021-09-23 00:42:38.607269 : Epoch  8, Batch     50, Loss  0.760087, Average Loss  0.770435, Time  0.256373
2021-09-23 00:42:40.514548 : Epoch  8, Batch     51, Loss  0.770276, Average Loss  0.770413, Time  0.251976
2021-09-23 00:42:42.161722 : Epoch  4, Batch    465, Loss  0.862738, Average Loss  0.869982, Time  0.412836
2021-09-23 00:42:42.429115 : Epoch  8, Batch     52, Loss  0.773603, Average Loss  0.770407, Time  0.257376
2021-09-23 00:42:44.316274 : Epoch  8, Batch     53, Loss  0.775179, Average Loss  0.770332, Time  0.258058
2021-09-23 00:42:46.221838 : Epoch  8, Batch     54, Loss  0.781826, Average Loss  0.770372, Time  0.251774
2021-09-23 00:42:47.117158 : Epoch  4, Batch    466, Loss  0.871424, Average Loss  0.869994, Time  0.414173
2021-09-23 00:42:48.196871 : Epoch  8, Batch     55, Loss  0.768392, Average Loss  0.770436, Time  0.329658
2021-09-23 00:42:50.099616 : Epoch  8, Batch     56, Loss  0.770503, Average Loss  0.770461, Time  0.254728
2021-09-23 00:42:51.995934 : Epoch  8, Batch     57, Loss  0.775338, Average Loss  0.770535, Time  0.259179
2021-09-23 00:42:52.069781 : Epoch  4, Batch    467, Loss  0.864364, Average Loss  0.869901, Time  0.413144
2021-09-23 00:42:53.892257 : Epoch  8, Batch     58, Loss  0.766867, Average Loss  0.770505, Time  0.252423
2021-09-23 00:42:55.792243 : Epoch  8, Batch     59, Loss  0.768357, Average Loss  0.770511, Time  0.251594
2021-09-23 00:42:57.025834 : Epoch  4, Batch    468, Loss  0.850882, Average Loss  0.869856, Time  0.415136
2021-09-23 00:42:57.727653 : Epoch  8, Batch     60, Loss  0.781342, Average Loss  0.770567, Time  0.251755
2021-09-23 00:42:59.701611 : Epoch  8, Batch     61, Loss  0.768546, Average Loss  0.770569, Time  0.326577
2021-09-23 00:43:01.604963 : Epoch  8, Batch     62, Loss  0.766323, Average Loss  0.770526, Time  0.257618
2021-09-23 00:43:01.993897 : Epoch  4, Batch    469, Loss  0.863200, Average Loss  0.869766, Time  0.414261
2021-09-23 00:43:03.520244 : Epoch  8, Batch     63, Loss  0.773146, Average Loss  0.770570, Time  0.256882
2021-09-23 00:43:05.413377 : Epoch  8, Batch     64, Loss  0.779534, Average Loss  0.770616, Time  0.263992
2021-09-23 00:43:06.933986 : Epoch  4, Batch    470, Loss  0.868639, Average Loss  0.869754, Time  0.413399
2021-09-23 00:43:07.306290 : Epoch  8, Batch     65, Loss  0.767407, Average Loss  0.770632, Time  0.251661
2021-09-23 00:43:09.202821 : Epoch  8, Batch     66, Loss  0.778220, Average Loss  0.770720, Time  0.251833
2021-09-23 00:43:11.104794 : Epoch  8, Batch     67, Loss  0.773279, Average Loss  0.770681, Time  0.254189
2021-09-23 00:43:11.844178 : CheckPoint: Validation Loss  0.00031610, Best Loss  0.00030606
2021-09-23 00:43:11.908768 : Epoch  4, Batch    471, Loss  0.875181, Average Loss  0.869697, Time  0.413297
2021-09-23 00:43:13.002817 : Epoch  8, Batch     68, Loss  0.767355, Average Loss  0.770665, Time  0.251448
2021-09-23 00:43:13.727859 : Epoch  8, Batch    192, Loss  0.766864, Average Loss  0.769885, Time  0.249142
2021-09-23 00:43:14.935048 : Epoch  8, Batch     69, Loss  0.769326, Average Loss  0.770694, Time  0.251193
2021-09-23 00:43:15.653819 : Epoch  8, Batch    193, Loss  0.768605, Average Loss  0.769936, Time  0.249901
2021-09-23 00:43:16.824921 : Epoch  8, Batch     70, Loss  0.768887, Average Loss  0.770675, Time  0.251500
2021-09-23 00:43:16.883421 : Epoch  4, Batch    472, Loss  0.875398, Average Loss  0.869615, Time  0.428957
2021-09-23 00:43:17.573730 : Epoch  8, Batch    194, Loss  0.777303, Average Loss  0.769967, Time  0.249491
2021-09-23 00:43:18.718788 : Epoch  8, Batch     71, Loss  0.779685, Average Loss  0.770698, Time  0.253202
2021-09-23 00:43:19.476734 : Epoch  8, Batch    195, Loss  0.769212, Average Loss  0.769935, Time  0.251172
2021-09-23 00:43:20.607642 : Epoch  8, Batch     72, Loss  0.775078, Average Loss  0.770739, Time  0.253227
2021-09-23 00:43:21.363388 : Epoch  8, Batch    196, Loss  0.773104, Average Loss  0.769954, Time  0.247727
2021-09-23 00:43:21.857798 : Epoch  4, Batch    473, Loss  0.876781, Average Loss  0.869746, Time  0.413377
2021-09-23 00:43:22.513478 : Epoch  8, Batch     73, Loss  0.771191, Average Loss  0.770749, Time  0.258377
2021-09-23 00:43:23.248581 : Epoch  8, Batch    197, Loss  0.773566, Average Loss  0.769940, Time  0.248637
2021-09-23 00:43:24.398116 : Epoch  8, Batch     74, Loss  0.779227, Average Loss  0.770773, Time  0.251182
2021-09-23 00:43:25.137882 : Epoch  8, Batch    198, Loss  0.775825, Average Loss  0.769951, Time  0.250562
2021-09-23 00:43:26.309452 : Epoch  8, Batch     75, Loss  0.762188, Average Loss  0.770805, Time  0.252210
2021-09-23 00:43:26.816927 : Epoch  4, Batch    474, Loss  0.867318, Average Loss  0.869772, Time  0.413262
2021-09-23 00:43:27.033143 : Epoch  8, Batch    199, Loss  0.771852, Average Loss  0.769895, Time  0.249255
2021-09-23 00:43:28.215956 : Epoch  8, Batch     76, Loss  0.767082, Average Loss  0.770814, Time  0.255666
2021-09-23 00:43:28.910158 : Epoch  8, Batch    200, Loss  0.779923, Average Loss  0.769951, Time  0.248484
2021-09-23 00:43:30.130520 : Epoch  8, Batch     77, Loss  0.780515, Average Loss  0.770888, Time  0.252211
2021-09-23 00:43:30.787945 : Epoch  8, Batch    201, Loss  0.766868, Average Loss  0.769916, Time  0.251712
2021-09-23 00:43:31.774972 : Epoch  4, Batch    475, Loss  0.861748, Average Loss  0.869722, Time  0.413043
2021-09-23 00:43:32.020776 : Epoch  8, Batch     78, Loss  0.757389, Average Loss  0.770851, Time  0.251852
2021-09-23 00:43:32.685113 : Epoch  8, Batch    202, Loss  0.768610, Average Loss  0.769967, Time  0.250543
2021-09-23 00:43:33.921531 : Epoch  8, Batch     79, Loss  0.767552, Average Loss  0.770783, Time  0.252122
2021-09-23 00:43:34.583134 : Epoch  8, Batch    203, Loss  0.767787, Average Loss  0.769886, Time  0.251915
2021-09-23 00:43:35.822797 : Epoch  8, Batch     80, Loss  0.772342, Average Loss  0.770770, Time  0.257097
2021-09-23 00:43:36.483856 : Epoch  8, Batch    204, Loss  0.770642, Average Loss  0.769833, Time  0.252862
2021-09-23 00:43:36.748784 : Epoch  4, Batch    476, Loss  0.879175, Average Loss  0.869798, Time  0.413298
2021-09-23 00:43:37.712247 : Epoch  8, Batch     81, Loss  0.765358, Average Loss  0.770802, Time  0.254059
2021-09-23 00:43:38.379878 : Epoch  8, Batch    205, Loss  0.767030, Average Loss  0.769881, Time  0.251349
2021-09-23 00:43:39.625380 : Epoch  8, Batch     82, Loss  0.782042, Average Loss  0.770893, Time  0.269073
2021-09-23 00:43:40.250347 : Epoch  8, Batch    206, Loss  0.767639, Average Loss  0.769853, Time  0.248425
2021-09-23 00:43:41.526738 : Epoch  8, Batch     83, Loss  0.773269, Average Loss  0.770878, Time  0.251245
2021-09-23 00:43:41.714050 : Epoch  4, Batch    477, Loss  0.890734, Average Loss  0.869966, Time  0.413431
2021-09-23 00:43:42.140884 : Epoch  8, Batch    207, Loss  0.774917, Average Loss  0.769857, Time  0.251676
2021-09-23 00:43:43.435444 : Epoch  8, Batch     84, Loss  0.772608, Average Loss  0.770942, Time  0.252458
2021-09-23 00:43:44.026980 : Epoch  8, Batch    208, Loss  0.775960, Average Loss  0.769940, Time  0.251476
2021-09-23 00:43:45.339305 : Epoch  8, Batch     85, Loss  0.777059, Average Loss  0.770931, Time  0.266382
2021-09-23 00:43:45.914831 : Epoch  8, Batch    209, Loss  0.785438, Average Loss  0.770000, Time  0.249230
2021-09-23 00:43:46.671704 : Epoch  4, Batch    478, Loss  0.884274, Average Loss  0.870027, Time  0.413148
2021-09-23 00:43:47.292869 : Epoch  8, Batch     86, Loss  0.782145, Average Loss  0.771013, Time  0.254177
2021-09-23 00:43:47.808110 : Epoch  8, Batch    210, Loss  0.769158, Average Loss  0.770000, Time  0.248649
2021-09-23 00:43:49.211389 : Epoch  8, Batch     87, Loss  0.765715, Average Loss  0.770982, Time  0.252631
2021-09-23 00:43:49.704956 : Epoch  8, Batch    211, Loss  0.767153, Average Loss  0.769957, Time  0.249151
2021-09-23 00:43:51.128380 : Epoch  8, Batch     88, Loss  0.771348, Average Loss  0.770958, Time  0.261419
2021-09-23 00:43:51.583368 : Epoch  8, Batch    212, Loss  0.767944, Average Loss  0.769945, Time  0.250568
2021-09-23 00:43:51.641731 : Epoch  4, Batch    479, Loss  0.866974, Average Loss  0.870009, Time  0.412957
2021-09-23 00:43:53.035192 : Epoch  8, Batch     89, Loss  0.787274, Average Loss  0.771054, Time  0.252024
2021-09-23 00:43:53.451814 : Epoch  8, Batch    213, Loss  0.772728, Average Loss  0.769949, Time  0.249483
2021-09-23 00:43:54.939852 : Epoch  8, Batch     90, Loss  0.776339, Average Loss  0.771113, Time  0.252975
2021-09-23 00:43:55.344278 : Epoch  8, Batch    214, Loss  0.763771, Average Loss  0.769905, Time  0.250213
2021-09-23 00:43:56.617822 : Epoch  4, Batch    480, Loss  0.865742, Average Loss  0.869992, Time  0.414450
2021-09-23 00:43:56.848695 : Epoch  8, Batch     91, Loss  0.769291, Average Loss  0.771106, Time  0.257604
2021-09-23 00:43:57.229182 : Epoch  8, Batch    215, Loss  0.767735, Average Loss  0.769908, Time  0.254230
2021-09-23 00:43:59.104976 : Epoch  8, Batch    216, Loss  0.774045, Average Loss  0.769888, Time  0.253806
2021-09-23 00:44:00.977283 : Epoch  8, Batch    217, Loss  0.767131, Average Loss  0.769827, Time  0.250675
2021-09-23 00:44:01.638109 : Epoch  4, Batch    481, Loss  0.863296, Average Loss  0.869888, Time  0.465054
2021-09-23 00:44:02.876887 : Epoch  8, Batch    218, Loss  0.751684, Average Loss  0.769720, Time  0.248392
2021-09-23 00:44:04.773031 : Epoch  8, Batch    219, Loss  0.772797, Average Loss  0.769737, Time  0.260938
2021-09-23 00:44:06.597049 : Epoch  4, Batch    482, Loss  0.873378, Average Loss  0.869866, Time  0.420590
2021-09-23 00:44:06.681394 : Epoch  8, Batch    220, Loss  0.767426, Average Loss  0.769715, Time  0.250811
2021-09-23 00:44:08.575235 : Epoch  8, Batch    221, Loss  0.766398, Average Loss  0.769711, Time  0.248523
2021-09-23 00:44:10.526555 : Epoch  8, Batch    222, Loss  0.779325, Average Loss  0.769713, Time  0.324926
2021-09-23 00:44:11.573051 : Epoch  4, Batch    483, Loss  0.866665, Average Loss  0.869838, Time  0.414253
2021-09-23 00:44:12.421844 : Epoch  8, Batch    223, Loss  0.777408, Average Loss  0.769796, Time  0.249165
2021-09-23 00:44:14.321592 : Epoch  8, Batch    224, Loss  0.775088, Average Loss  0.769806, Time  0.248448
2021-09-23 00:44:16.206982 : Epoch  8, Batch    225, Loss  0.776355, Average Loss  0.769840, Time  0.250004
2021-09-23 00:44:16.607991 : Epoch  4, Batch    484, Loss  0.868714, Average Loss  0.869836, Time  0.413678
2021-09-23 00:44:18.120807 : Epoch  8, Batch    226, Loss  0.771220, Average Loss  0.769853, Time  0.256192
2021-09-23 00:44:20.040441 : Epoch  8, Batch    227, Loss  0.781405, Average Loss  0.769843, Time  0.250859
2021-09-23 00:44:21.613766 : Epoch  4, Batch    485, Loss  0.869712, Average Loss  0.869868, Time  0.413709
2021-09-23 00:44:21.917868 : Epoch  8, Batch    228, Loss  0.779846, Average Loss  0.769822, Time  0.252598
2021-09-23 00:44:23.875445 : Epoch  8, Batch    229, Loss  0.769524, Average Loss  0.769888, Time  0.325682
2021-09-23 00:44:25.766499 : Epoch  8, Batch    230, Loss  0.769415, Average Loss  0.769891, Time  0.250448
2021-09-23 00:44:26.588026 : Epoch  4, Batch    486, Loss  0.882683, Average Loss  0.869979, Time  0.413757
2021-09-23 00:44:27.647314 : Epoch  8, Batch    231, Loss  0.759901, Average Loss  0.769909, Time  0.249140
2021-09-23 00:44:29.529008 : Epoch  8, Batch    232, Loss  0.763365, Average Loss  0.769833, Time  0.249286
2021-09-23 00:44:31.429812 : Epoch  8, Batch    233, Loss  0.766786, Average Loss  0.769823, Time  0.251568
2021-09-23 00:44:31.557787 : Epoch  4, Batch    487, Loss  0.857087, Average Loss  0.869919, Time  0.413305
2021-09-23 00:44:33.330218 : Epoch  8, Batch    234, Loss  0.774309, Average Loss  0.769852, Time  0.249111
2021-09-23 00:44:35.220992 : Epoch  8, Batch    235, Loss  0.765702, Average Loss  0.769866, Time  0.251397
2021-09-23 00:44:36.527766 : Epoch  4, Batch    488, Loss  0.896207, Average Loss  0.870030, Time  0.413491
2021-09-23 00:44:37.184843 : Epoch  8, Batch    236, Loss  0.765270, Average Loss  0.769767, Time  0.324999
2021-09-23 00:44:39.065807 : Epoch  8, Batch    237, Loss  0.783246, Average Loss  0.769830, Time  0.248209
2021-09-23 00:44:40.956692 : Epoch  8, Batch    238, Loss  0.767688, Average Loss  0.769813, Time  0.248701
2021-09-23 00:44:41.494966 : Epoch  4, Batch    489, Loss  0.874363, Average Loss  0.870065, Time  0.413015
2021-09-23 00:44:42.838941 : Epoch  8, Batch    239, Loss  0.773726, Average Loss  0.769820, Time  0.248016
2021-09-23 00:44:44.758915 : Epoch  8, Batch    240, Loss  0.767761, Average Loss  0.769814, Time  0.257712
2021-09-23 00:44:46.496291 : Epoch  4, Batch    490, Loss  0.876022, Average Loss  0.870156, Time  0.462307
2021-09-23 00:44:46.659614 : Epoch  8, Batch    241, Loss  0.765869, Average Loss  0.769789, Time  0.248761
2021-09-23 00:44:48.548107 : Epoch  8, Batch    242, Loss  0.769235, Average Loss  0.769765, Time  0.248748
2021-09-23 00:44:50.528811 : Epoch  8, Batch    243, Loss  0.754297, Average Loss  0.769702, Time  0.328792
2021-09-23 00:44:51.467745 : Epoch  4, Batch    491, Loss  0.875812, Average Loss  0.870218, Time  0.413111
2021-09-23 00:44:52.432275 : Epoch  8, Batch    244, Loss  0.781664, Average Loss  0.769756, Time  0.252649
2021-09-23 00:44:54.321902 : Epoch  8, Batch    245, Loss  0.779035, Average Loss  0.769826, Time  0.249182
2021-09-23 00:44:56.214416 : Epoch  8, Batch    246, Loss  0.772806, Average Loss  0.769888, Time  0.249353
2021-09-23 00:44:56.476785 : Epoch  4, Batch    492, Loss  0.869861, Average Loss  0.870201, Time  0.414583
2021-09-23 00:44:58.105401 : Epoch  8, Batch    247, Loss  0.776344, Average Loss  0.769964, Time  0.249515
2021-09-23 00:44:59.996260 : Epoch  8, Batch    248, Loss  0.774069, Average Loss  0.770006, Time  0.247899
2021-09-23 00:45:01.467726 : Epoch  4, Batch    493, Loss  0.863812, Average Loss  0.870174, Time  0.415349
2021-09-23 00:45:01.887189 : Epoch  8, Batch    249, Loss  0.764100, Average Loss  0.769977, Time  0.251205
2021-09-23 00:45:03.751439 : Epoch  8, Batch    250, Loss  0.757598, Average Loss  0.769929, Time  0.250745
2021-09-23 00:45:05.713065 : Epoch  8, Batch    251, Loss  0.777485, Average Loss  0.770010, Time  0.326793
2021-09-23 00:45:06.460822 : Epoch  4, Batch    494, Loss  0.878283, Average Loss  0.870232, Time  0.414502
2021-09-23 00:45:07.610391 : Epoch  8, Batch    252, Loss  0.784268, Average Loss  0.770084, Time  0.250741
2021-09-23 00:45:07.819771 : CheckPoint: Validation Loss  0.00032027, Best Loss  0.00030514
2021-09-23 00:45:09.491841 : Epoch  8, Batch    253, Loss  0.774770, Average Loss  0.770115, Time  0.249102
2021-09-23 00:45:09.747931 : Epoch  8, Batch     92, Loss  0.769501, Average Loss  0.771068, Time  0.273749
2021-09-23 00:45:11.377238 : Epoch  8, Batch    254, Loss  0.769556, Average Loss  0.770075, Time  0.256574
2021-09-23 00:45:11.429776 : Epoch  4, Batch    495, Loss  0.872037, Average Loss  0.870192, Time  0.413592
2021-09-23 00:45:11.647292 : Epoch  8, Batch     93, Loss  0.774423, Average Loss  0.771133, Time  0.256845
2021-09-23 00:45:13.271616 : Epoch  8, Batch    255, Loss  0.761478, Average Loss  0.770090, Time  0.251025
2021-09-23 00:45:13.551946 : Epoch  8, Batch     94, Loss  0.757743, Average Loss  0.771020, Time  0.252046
2021-09-23 00:45:15.168006 : Epoch  8, Batch    256, Loss  0.755378, Average Loss  0.770029, Time  0.253259
2021-09-23 00:45:15.439926 : Epoch  8, Batch     95, Loss  0.770730, Average Loss  0.771046, Time  0.256797
2021-09-23 00:45:16.404979 : Epoch  4, Batch    496, Loss  0.879263, Average Loss  0.870269, Time  0.414038
2021-09-23 00:45:17.084327 : Epoch  8, Batch    257, Loss  0.763815, Average Loss  0.770073, Time  0.253653
2021-09-23 00:45:17.339043 : Epoch  8, Batch     96, Loss  0.768210, Average Loss  0.771074, Time  0.258320
2021-09-23 00:45:18.958746 : Epoch  8, Batch    258, Loss  0.779727, Average Loss  0.770155, Time  0.248635
2021-09-23 00:45:19.244267 : Epoch  8, Batch     97, Loss  0.778870, Average Loss  0.771041, Time  0.252787
2021-09-23 00:45:20.837995 : Epoch  8, Batch    259, Loss  0.759773, Average Loss  0.770079, Time  0.256110
2021-09-23 00:45:21.135694 : Epoch  8, Batch     98, Loss  0.766927, Average Loss  0.771013, Time  0.252224
2021-09-23 00:45:21.364744 : Epoch  4, Batch    497, Loss  0.880713, Average Loss  0.870274, Time  0.413026
2021-09-23 00:45:22.733011 : Epoch  8, Batch    260, Loss  0.755755, Average Loss  0.770026, Time  0.248993
2021-09-23 00:45:23.026952 : Epoch  8, Batch     99, Loss  0.781139, Average Loss  0.771023, Time  0.253680
2021-09-23 00:45:24.629682 : Epoch  8, Batch    261, Loss  0.763058, Average Loss  0.770022, Time  0.255749
2021-09-23 00:45:24.919849 : Epoch  8, Batch    100, Loss  0.785107, Average Loss  0.771119, Time  0.253616
2021-09-23 00:45:26.335977 : Epoch  4, Batch    498, Loss  0.864965, Average Loss  0.870192, Time  0.413227
2021-09-23 00:45:26.804467 : Epoch  8, Batch    101, Loss  0.766348, Average Loss  0.771078, Time  0.256820
2021-09-23 00:45:28.324621 : Epoch  8, Batch    262, Loss  0.764024, Average Loss  0.769965, Time  0.249974
2021-09-23 00:45:28.704230 : Epoch  8, Batch    102, Loss  0.777258, Average Loss  0.771086, Time  0.253607
2021-09-23 00:45:30.200706 : Epoch  8, Batch    263, Loss  0.770794, Average Loss  0.770047, Time  0.253086
2021-09-23 00:45:30.620519 : Epoch  8, Batch    103, Loss  0.770246, Average Loss  0.771078, Time  0.252093
2021-09-23 00:45:31.298738 : Epoch  4, Batch    499, Loss  0.860701, Average Loss  0.870132, Time  0.413161
2021-09-23 00:45:32.086770 : Epoch  8, Batch    264, Loss  0.769093, Average Loss  0.770065, Time  0.251488
2021-09-23 00:45:32.516637 : Epoch  8, Batch    104, Loss  0.772620, Average Loss  0.771119, Time  0.261191
2021-09-23 00:45:33.959536 : Epoch  8, Batch    265, Loss  0.771917, Average Loss  0.770115, Time  0.248564
2021-09-23 00:45:34.465308 : Epoch  8, Batch    105, Loss  0.774828, Average Loss  0.771104, Time  0.251956
2021-09-23 00:45:35.834346 : Epoch  8, Batch    266, Loss  0.773577, Average Loss  0.770086, Time  0.248085
2021-09-23 00:45:36.345532 : Epoch  4, Batch    500, Loss  0.866263, Average Loss  0.870140, Time  0.465894
2021-09-23 00:45:36.363103 : Epoch  8, Batch    106, Loss  0.773245, Average Loss  0.771104, Time  0.256273
2021-09-23 00:45:37.709730 : Epoch  8, Batch    267, Loss  0.759623, Average Loss  0.770041, Time  0.248242
2021-09-23 00:45:38.254129 : Epoch  8, Batch    107, Loss  0.777044, Average Loss  0.771089, Time  0.253489
2021-09-23 00:45:39.571497 : Epoch  8, Batch    268, Loss  0.769797, Average Loss  0.769995, Time  0.251831
2021-09-23 00:45:40.188074 : Epoch  8, Batch    108, Loss  0.765257, Average Loss  0.771074, Time  0.255135
2021-09-23 00:45:41.312480 : Epoch  4, Batch    501, Loss  0.870310, Average Loss  0.870171, Time  0.420807
2021-09-23 00:45:41.456563 : Epoch  8, Batch    269, Loss  0.774540, Average Loss  0.769979, Time  0.250058
2021-09-23 00:45:42.112238 : Epoch  8, Batch    109, Loss  0.777051, Average Loss  0.771057, Time  0.261952
2021-09-23 00:45:43.323878 : Epoch  8, Batch    270, Loss  0.757150, Average Loss  0.769957, Time  0.248131
2021-09-23 00:45:44.015068 : Epoch  8, Batch    110, Loss  0.778400, Average Loss  0.771098, Time  0.251223
2021-09-23 00:45:45.193231 : Epoch  8, Batch    271, Loss  0.769661, Average Loss  0.769876, Time  0.248657
2021-09-23 00:45:45.969499 : Epoch  8, Batch    111, Loss  0.771473, Average Loss  0.771074, Time  0.252054
2021-09-23 00:45:46.289157 : Epoch  4, Batch    502, Loss  0.873430, Average Loss  0.870193, Time  0.413289
2021-09-23 00:45:47.068508 : Epoch  8, Batch    272, Loss  0.767972, Average Loss  0.769879, Time  0.249086
2021-09-23 00:45:47.894070 : Epoch  8, Batch    112, Loss  0.761041, Average Loss  0.770997, Time  0.256450
2021-09-23 00:45:48.963681 : Epoch  8, Batch    273, Loss  0.759057, Average Loss  0.769788, Time  0.249795
2021-09-23 00:45:49.805737 : Epoch  8, Batch    113, Loss  0.769664, Average Loss  0.770967, Time  0.251940
2021-09-23 00:45:50.846459 : Epoch  8, Batch    274, Loss  0.768284, Average Loss  0.769797, Time  0.248504
2021-09-23 00:45:51.248564 : Epoch  4, Batch    503, Loss  0.864651, Average Loss  0.870183, Time  0.413179
2021-09-23 00:45:51.709020 : Epoch  8, Batch    114, Loss  0.767696, Average Loss  0.770888, Time  0.255850
2021-09-23 00:45:52.725963 : Epoch  8, Batch    275, Loss  0.760365, Average Loss  0.769707, Time  0.248508
2021-09-23 00:45:53.600130 : Epoch  8, Batch    115, Loss  0.762196, Average Loss  0.770873, Time  0.251498
2021-09-23 00:45:54.621011 : Epoch  8, Batch    276, Loss  0.774732, Average Loss  0.769709, Time  0.254405
2021-09-23 00:45:55.513844 : Epoch  8, Batch    116, Loss  0.769352, Average Loss  0.770878, Time  0.251612
2021-09-23 00:45:56.212801 : Epoch  4, Batch    504, Loss  0.873255, Average Loss  0.870208, Time  0.412946
2021-09-23 00:45:56.505890 : Epoch  8, Batch    277, Loss  0.779249, Average Loss  0.769707, Time  0.255093
2021-09-23 00:45:57.421062 : Epoch  8, Batch    117, Loss  0.763489, Average Loss  0.770847, Time  0.262463
2021-09-23 00:45:58.399607 : Epoch  8, Batch    278, Loss  0.768292, Average Loss  0.769675, Time  0.251631
2021-09-23 00:45:59.314788 : Epoch  8, Batch    118, Loss  0.758181, Average Loss  0.770742, Time  0.254340
2021-09-23 00:46:00.294868 : Epoch  8, Batch    279, Loss  0.771070, Average Loss  0.769659, Time  0.251433
2021-09-23 00:46:01.188774 : Epoch  4, Batch    505, Loss  0.875741, Average Loss  0.870245, Time  0.414305
2021-09-23 00:46:01.241214 : Epoch  8, Batch    119, Loss  0.765280, Average Loss  0.770705, Time  0.259720
2021-09-23 00:46:02.177518 : Epoch  8, Batch    280, Loss  0.772131, Average Loss  0.769660, Time  0.251288
2021-09-23 00:46:03.159597 : Epoch  8, Batch    120, Loss  0.779607, Average Loss  0.770722, Time  0.260443
2021-09-23 00:46:04.046618 : Epoch  8, Batch    281, Loss  0.762980, Average Loss  0.769557, Time  0.250623
2021-09-23 00:46:05.071407 : Epoch  8, Batch    121, Loss  0.770776, Average Loss  0.770754, Time  0.254127
2021-09-23 00:46:05.926378 : Epoch  8, Batch    282, Loss  0.771729, Average Loss  0.769521, Time  0.248929
2021-09-23 00:46:06.173840 : Epoch  4, Batch    506, Loss  0.864596, Average Loss  0.870305, Time  0.414256
2021-09-23 00:46:06.988997 : Epoch  8, Batch    122, Loss  0.766270, Average Loss  0.770782, Time  0.259147
2021-09-23 00:46:07.799885 : Epoch  8, Batch    283, Loss  0.769519, Average Loss  0.769485, Time  0.252792
2021-09-23 00:46:08.880813 : Epoch  8, Batch    123, Loss  0.778438, Average Loss  0.770836, Time  0.254229
2021-09-23 00:46:09.675414 : Epoch  8, Batch    284, Loss  0.767044, Average Loss  0.769467, Time  0.248467
2021-09-23 00:46:10.798096 : Epoch  8, Batch    124, Loss  0.755893, Average Loss  0.770818, Time  0.254296
2021-09-23 00:46:11.142773 : Epoch  4, Batch    507, Loss  0.871630, Average Loss  0.870325, Time  0.416287
2021-09-23 00:46:11.557822 : Epoch  8, Batch    285, Loss  0.770321, Average Loss  0.769491, Time  0.250578
2021-09-23 00:46:12.699410 : Epoch  8, Batch    125, Loss  0.775633, Average Loss  0.770825, Time  0.252139
2021-09-23 00:46:13.462622 : Epoch  8, Batch    286, Loss  0.778457, Average Loss  0.769529, Time  0.249439
2021-09-23 00:46:14.607307 : Epoch  8, Batch    126, Loss  0.770013, Average Loss  0.770788, Time  0.251417
2021-09-23 00:46:15.348946 : Epoch  8, Batch    287, Loss  0.762707, Average Loss  0.769446, Time  0.251521
2021-09-23 00:46:16.118089 : Epoch  4, Batch    508, Loss  0.886792, Average Loss  0.870423, Time  0.413440
2021-09-23 00:46:16.515347 : Epoch  8, Batch    127, Loss  0.780013, Average Loss  0.770822, Time  0.264281
2021-09-23 00:46:17.221795 : Epoch  8, Batch    288, Loss  0.771587, Average Loss  0.769436, Time  0.250988
2021-09-23 00:46:18.468350 : Epoch  8, Batch    128, Loss  0.776567, Average Loss  0.770815, Time  0.257063
2021-09-23 00:46:19.102296 : Epoch  8, Batch    289, Loss  0.768658, Average Loss  0.769442, Time  0.249068
2021-09-23 00:46:20.354945 : Epoch  8, Batch    129, Loss  0.760149, Average Loss  0.770742, Time  0.251739
2021-09-23 00:46:20.982460 : Epoch  8, Batch    290, Loss  0.770595, Average Loss  0.769445, Time  0.250096
2021-09-23 00:46:21.145713 : Epoch  4, Batch    509, Loss  0.884209, Average Loss  0.870443, Time  0.452418
2021-09-23 00:46:22.261945 : Epoch  8, Batch    130, Loss  0.775876, Average Loss  0.771016, Time  0.252799
2021-09-23 00:46:22.857282 : Epoch  8, Batch    291, Loss  0.769736, Average Loss  0.769500, Time  0.252093
2021-09-23 00:46:24.192368 : Epoch  8, Batch    131, Loss  0.761095, Average Loss  0.770922, Time  0.254018
2021-09-23 00:46:26.092285 : Epoch  8, Batch    132, Loss  0.768598, Average Loss  0.770876, Time  0.257061
2021-09-23 00:46:26.125770 : Epoch  4, Batch    510, Loss  0.875209, Average Loss  0.870474, Time  0.416563
2021-09-23 00:46:28.060636 : Epoch  8, Batch    133, Loss  0.765556, Average Loss  0.770861, Time  0.326036
2021-09-23 00:46:29.967896 : Epoch  8, Batch    134, Loss  0.768003, Average Loss  0.770772, Time  0.254029
2021-09-23 00:46:31.087975 : Epoch  4, Batch    511, Loss  0.874003, Average Loss  0.870426, Time  0.412796
2021-09-23 00:46:31.870874 : Epoch  8, Batch    135, Loss  0.764768, Average Loss  0.770665, Time  0.260744
2021-09-23 00:46:33.774515 : Epoch  8, Batch    136, Loss  0.776348, Average Loss  0.770657, Time  0.251963
2021-09-23 00:46:35.678142 : Epoch  8, Batch    137, Loss  0.773536, Average Loss  0.770653, Time  0.255582
2021-09-23 00:46:36.062496 : Epoch  4, Batch    512, Loss  0.879793, Average Loss  0.870483, Time  0.413840
2021-09-23 00:46:37.575861 : Epoch  8, Batch    138, Loss  0.778939, Average Loss  0.770675, Time  0.252195
2021-09-23 00:46:39.472218 : Epoch  8, Batch    139, Loss  0.755552, Average Loss  0.770600, Time  0.251736
2021-09-23 00:46:41.030830 : Epoch  4, Batch    513, Loss  0.868644, Average Loss  0.870505, Time  0.414117
2021-09-23 00:46:41.441014 : Epoch  8, Batch    140, Loss  0.767613, Average Loss  0.770546, Time  0.330165
2021-09-23 00:46:43.360957 : Epoch  8, Batch    141, Loss  0.781148, Average Loss  0.770608, Time  0.265774
2021-09-23 00:46:45.258392 : Epoch  8, Batch    142, Loss  0.761573, Average Loss  0.770597, Time  0.252529
2021-09-23 00:46:45.991547 : Epoch  4, Batch    514, Loss  0.863110, Average Loss  0.870369, Time  0.413272
2021-09-23 00:46:47.151419 : Epoch  8, Batch    143, Loss  0.778304, Average Loss  0.770583, Time  0.252075
2021-09-23 00:46:49.070871 : Epoch  8, Batch    144, Loss  0.776312, Average Loss  0.770571, Time  0.251912
2021-09-23 00:46:50.968414 : Epoch  8, Batch    145, Loss  0.769967, Average Loss  0.770549, Time  0.251148
2021-09-23 00:46:50.989914 : Epoch  4, Batch    515, Loss  0.872744, Average Loss  0.870342, Time  0.413429
2021-09-23 00:46:52.927567 : Epoch  8, Batch    146, Loss  0.768026, Average Loss  0.770498, Time  0.331523
2021-09-23 00:46:54.826040 : Epoch  8, Batch    147, Loss  0.770123, Average Loss  0.770490, Time  0.254848
2021-09-23 00:46:55.967763 : Epoch  4, Batch    516, Loss  0.883972, Average Loss  0.870474, Time  0.415533
2021-09-23 00:46:56.729030 : Epoch  8, Batch    148, Loss  0.778253, Average Loss  0.770562, Time  0.251757
2021-09-23 00:46:58.649232 : Epoch  8, Batch    149, Loss  0.759604, Average Loss  0.770561, Time  0.257717
2021-09-23 00:47:00.550766 : Epoch  8, Batch    150, Loss  0.768464, Average Loss  0.770548, Time  0.250950
2021-09-23 00:47:02.445819 : Epoch  8, Batch    151, Loss  0.773794, Average Loss  0.770533, Time  0.252716
2021-09-23 00:47:04.350307 : Epoch  8, Batch    152, Loss  0.770361, Average Loss  0.770494, Time  0.251562
2021-09-23 00:47:06.304999 : Epoch  8, Batch    153, Loss  0.763127, Average Loss  0.770436, Time  0.326623
2021-09-23 00:47:08.212935 : Epoch  8, Batch    154, Loss  0.766261, Average Loss  0.770354, Time  0.252175
2021-09-23 00:47:10.111867 : Epoch  8, Batch    155, Loss  0.775392, Average Loss  0.770402, Time  0.259882
2021-09-23 00:47:12.011250 : Epoch  8, Batch    156, Loss  0.776407, Average Loss  0.770425, Time  0.253687
2021-09-23 00:47:13.910393 : Epoch  8, Batch    157, Loss  0.765008, Average Loss  0.770371, Time  0.255305
2021-09-23 00:47:15.810644 : Epoch  8, Batch    158, Loss  0.765055, Average Loss  0.770331, Time  0.251268
2021-09-23 00:47:17.802795 : Epoch  8, Batch    159, Loss  0.756393, Average Loss  0.770286, Time  0.328662
2021-09-23 00:47:19.720256 : Epoch  8, Batch    160, Loss  0.775520, Average Loss  0.770307, Time  0.252087
2021-09-23 00:47:21.632245 : Epoch  8, Batch    161, Loss  0.766243, Average Loss  0.770291, Time  0.259815
2021-09-23 00:47:25.325057 : Epoch  8, Batch    162, Loss  0.763977, Average Loss  0.770309, Time  0.268880
2021-09-23 00:47:27.223819 : Epoch  8, Batch    163, Loss  0.769382, Average Loss  0.770361, Time  0.253871
2021-09-23 00:47:29.112552 : Epoch  8, Batch    164, Loss  0.771304, Average Loss  0.770421, Time  0.254995
2021-09-23 00:47:31.097291 : Epoch  8, Batch    165, Loss  0.766835, Average Loss  0.770356, Time  0.327510
2021-09-23 00:47:32.990277 : Epoch  8, Batch    166, Loss  0.762133, Average Loss  0.770305, Time  0.251928
2021-09-23 00:47:33.261807 : CheckPoint: Validation Loss  0.00031169, Best Loss  0.00030606
2021-09-23 00:47:34.911739 : Epoch  8, Batch    167, Loss  0.756007, Average Loss  0.770292, Time  0.251855
2021-09-23 00:47:35.140450 : Epoch  8, Batch    292, Loss  0.771637, Average Loss  0.769475, Time  0.260133
2021-09-23 00:47:36.802845 : Epoch  8, Batch    168, Loss  0.783592, Average Loss  0.770395, Time  0.251312
2021-09-23 00:47:37.023905 : Epoch  8, Batch    293, Loss  0.764311, Average Loss  0.769436, Time  0.262477
2021-09-23 00:47:38.681863 : Epoch  8, Batch    169, Loss  0.768349, Average Loss  0.770393, Time  0.255161
2021-09-23 00:47:38.920421 : Epoch  8, Batch    294, Loss  0.768618, Average Loss  0.769432, Time  0.277668
2021-09-23 00:47:40.592951 : Epoch  8, Batch    170, Loss  0.778452, Average Loss  0.770387, Time  0.253121
2021-09-23 00:47:40.815904 : Epoch  8, Batch    295, Loss  0.779619, Average Loss  0.769489, Time  0.267406
2021-09-23 00:47:42.551543 : Epoch  8, Batch    171, Loss  0.765103, Average Loss  0.770298, Time  0.309003
2021-09-23 00:47:42.740943 : Epoch  8, Batch    296, Loss  0.768639, Average Loss  0.769531, Time  0.292178
2021-09-23 00:47:44.570083 : Epoch  8, Batch    172, Loss  0.771466, Average Loss  0.770356, Time  0.367637
2021-09-23 00:47:44.703123 : Epoch  8, Batch    297, Loss  0.763179, Average Loss  0.769523, Time  0.334522
2021-09-23 00:47:46.619754 : Epoch  8, Batch    173, Loss  0.761384, Average Loss  0.770381, Time  0.423323
2021-09-23 00:47:46.715249 : Epoch  8, Batch    298, Loss  0.749660, Average Loss  0.769447, Time  0.395288
2021-09-23 00:47:48.749643 : Epoch  8, Batch    174, Loss  0.769300, Average Loss  0.770392, Time  0.482529
2021-09-23 00:47:48.798002 : Epoch  8, Batch    299, Loss  0.769255, Average Loss  0.769453, Time  0.450119
2021-09-23 00:47:50.920903 : Epoch  8, Batch    175, Loss  0.767742, Average Loss  0.770383, Time  0.513541
2021-09-23 00:47:50.954911 : Epoch  8, Batch    300, Loss  0.773131, Average Loss  0.769454, Time  0.496316
2021-09-23 00:47:53.064538 : Epoch  8, Batch    176, Loss  0.767732, Average Loss  0.770344, Time  0.513181
2021-09-23 00:47:53.098120 : Epoch  8, Batch    301, Loss  0.768037, Average Loss  0.769433, Time  0.488735
2021-09-23 00:47:55.226956 : Epoch  8, Batch    177, Loss  0.766945, Average Loss  0.770239, Time  0.516114
2021-09-23 00:47:55.268608 : Epoch  8, Batch    302, Loss  0.763997, Average Loss  0.769447, Time  0.503837
2021-09-23 00:47:57.378914 : Epoch  8, Batch    178, Loss  0.767024, Average Loss  0.770205, Time  0.504443
2021-09-23 00:47:57.415158 : Epoch  8, Batch    303, Loss  0.773845, Average Loss  0.769453, Time  0.477113
2021-09-23 00:47:59.526154 : Epoch  8, Batch    179, Loss  0.765855, Average Loss  0.770175, Time  0.515087
2021-09-23 00:47:59.571359 : Epoch  8, Batch    304, Loss  0.782456, Average Loss  0.769490, Time  0.496331
2021-09-23 00:48:01.676846 : Epoch  8, Batch    180, Loss  0.762921, Average Loss  0.770150, Time  0.502516
2021-09-23 00:48:01.719059 : Epoch  8, Batch    305, Loss  0.761717, Average Loss  0.769418, Time  0.474285
2021-09-23 00:48:03.889705 : Epoch  8, Batch    181, Loss  0.763356, Average Loss  0.770085, Time  0.527019
2021-09-23 00:48:03.928703 : Epoch  8, Batch    306, Loss  0.765126, Average Loss  0.769425, Time  0.525414
2021-09-23 00:48:06.053897 : Epoch  8, Batch    307, Loss  0.779865, Average Loss  0.769473, Time  0.503528
2021-09-23 00:48:06.083094 : Epoch  8, Batch    182, Loss  0.768668, Average Loss  0.770063, Time  0.522823
2021-09-23 00:48:08.166496 : Epoch  8, Batch    308, Loss  0.763266, Average Loss  0.769403, Time  0.496087
2021-09-23 00:48:08.197032 : Epoch  8, Batch    183, Loss  0.770803, Average Loss  0.770144, Time  0.468791
2021-09-23 00:48:10.310270 : Epoch  8, Batch    309, Loss  0.774565, Average Loss  0.769357, Time  0.499583
2021-09-23 00:48:10.346307 : Epoch  8, Batch    184, Loss  0.782349, Average Loss  0.770149, Time  0.473248
2021-09-23 00:48:12.424141 : Epoch  8, Batch    310, Loss  0.773340, Average Loss  0.769384, Time  0.492024
2021-09-23 00:48:12.461595 : Epoch  8, Batch    185, Loss  0.763850, Average Loss  0.770124, Time  0.456579
2021-09-23 00:48:14.531846 : Epoch  8, Batch    311, Loss  0.772313, Average Loss  0.769391, Time  0.490308
2021-09-23 00:48:14.565778 : Epoch  8, Batch    186, Loss  0.769373, Average Loss  0.770087, Time  0.458857
2021-09-23 00:48:16.664897 : Epoch  8, Batch    312, Loss  0.765460, Average Loss  0.769394, Time  0.494141
2021-09-23 00:48:16.701095 : Epoch  8, Batch    187, Loss  0.763914, Average Loss  0.770051, Time  0.466854
2021-09-23 00:48:18.780054 : Epoch  8, Batch    313, Loss  0.786794, Average Loss  0.769484, Time  0.493524
2021-09-23 00:48:18.814791 : Epoch  8, Batch    188, Loss  0.767353, Average Loss  0.770068, Time  0.459915
2021-09-23 00:48:20.922738 : Epoch  8, Batch    314, Loss  0.758197, Average Loss  0.769430, Time  0.502134
2021-09-23 00:48:20.954792 : Epoch  8, Batch    189, Loss  0.776848, Average Loss  0.770098, Time  0.483229
2021-09-23 00:48:23.026862 : Epoch  8, Batch    315, Loss  0.759478, Average Loss  0.769420, Time  0.490860
2021-09-23 00:48:23.059750 : Epoch  8, Batch    190, Loss  0.774943, Average Loss  0.770174, Time  0.456883
2021-09-23 00:48:25.148256 : Epoch  8, Batch    316, Loss  0.790036, Average Loss  0.769493, Time  0.501118
2021-09-23 00:48:25.185186 : Epoch  8, Batch    191, Loss  0.787220, Average Loss  0.770253, Time  0.477010
2021-09-23 00:48:27.056041 : Epoch  8, Batch    317, Loss  0.777118, Average Loss  0.769530, Time  0.254157
2021-09-23 00:48:28.946400 : Epoch  8, Batch    318, Loss  0.776291, Average Loss  0.769534, Time  0.250024
2021-09-23 00:48:30.835869 : Epoch  8, Batch    319, Loss  0.765166, Average Loss  0.769521, Time  0.247872
2021-09-23 00:48:32.717841 : Epoch  8, Batch    320, Loss  0.766001, Average Loss  0.769481, Time  0.250366
2021-09-23 00:48:34.615369 : Epoch  8, Batch    321, Loss  0.772687, Average Loss  0.769496, Time  0.252571
2021-09-23 00:48:36.485929 : Epoch  8, Batch    322, Loss  0.756875, Average Loss  0.769502, Time  0.251692
2021-09-23 00:48:38.378497 : Epoch  8, Batch    323, Loss  0.761355, Average Loss  0.769437, Time  0.254526
2021-09-23 00:48:40.264497 : Epoch  8, Batch    324, Loss  0.758185, Average Loss  0.769395, Time  0.258435
2021-09-23 00:48:42.219882 : Epoch  8, Batch    325, Loss  0.781213, Average Loss  0.769524, Time  0.325892
2021-09-23 00:48:44.132802 : Epoch  8, Batch    326, Loss  0.774582, Average Loss  0.769581, Time  0.248585
2021-09-23 00:48:46.015073 : Epoch  8, Batch    327, Loss  0.774396, Average Loss  0.769606, Time  0.252675
2021-09-23 00:48:47.896154 : Epoch  8, Batch    328, Loss  0.767789, Average Loss  0.769563, Time  0.251291
2021-09-23 00:48:49.764449 : Epoch  8, Batch    329, Loss  0.769848, Average Loss  0.769577, Time  0.253223
2021-09-23 00:48:51.660106 : Epoch  8, Batch    330, Loss  0.764686, Average Loss  0.769581, Time  0.253135
2021-09-23 00:48:53.537068 : Epoch  8, Batch    331, Loss  0.768562, Average Loss  0.769571, Time  0.251485
2021-09-23 00:48:55.490291 : Epoch  8, Batch    332, Loss  0.773499, Average Loss  0.769565, Time  0.332532
2021-09-23 00:48:57.363140 : Epoch  8, Batch    333, Loss  0.775249, Average Loss  0.769612, Time  0.247890
2021-09-23 00:48:59.237999 : Epoch  8, Batch    334, Loss  0.767328, Average Loss  0.769595, Time  0.254329
2021-09-23 00:49:01.125911 : Epoch  8, Batch    335, Loss  0.777040, Average Loss  0.769637, Time  0.257034
2021-09-23 00:49:03.006372 : Epoch  8, Batch    336, Loss  0.766961, Average Loss  0.769629, Time  0.249747
2021-09-23 00:49:04.894472 : Epoch  8, Batch    337, Loss  0.772462, Average Loss  0.769595, Time  0.258063
2021-09-23 00:49:06.753035 : Epoch  8, Batch    338, Loss  0.756701, Average Loss  0.769592, Time  0.248820
2021-09-23 00:49:08.622436 : Epoch  8, Batch    339, Loss  0.776950, Average Loss  0.769638, Time  0.248102
2021-09-23 00:49:10.585270 : Epoch  8, Batch    340, Loss  0.763403, Average Loss  0.769649, Time  0.329143
2021-09-23 00:49:12.470875 : Epoch  8, Batch    341, Loss  0.766633, Average Loss  0.769651, Time  0.250247
2021-09-23 00:49:14.361153 : Epoch  8, Batch    342, Loss  0.773862, Average Loss  0.769650, Time  0.251319
2021-09-23 00:49:16.224001 : Epoch  8, Batch    343, Loss  0.756590, Average Loss  0.769666, Time  0.248429
2021-09-23 00:49:18.118958 : Epoch  8, Batch    344, Loss  0.770600, Average Loss  0.769712, Time  0.256507
2021-09-23 00:49:19.995929 : Epoch  8, Batch    345, Loss  0.773934, Average Loss  0.769668, Time  0.248319
2021-09-23 00:49:21.882797 : Epoch  8, Batch    346, Loss  0.774996, Average Loss  0.769694, Time  0.252581
2021-09-23 00:49:23.836043 : Epoch  8, Batch    347, Loss  0.772448, Average Loss  0.769701, Time  0.325111
2021-09-23 00:49:25.716424 : Epoch  8, Batch    348, Loss  0.782033, Average Loss  0.769744, Time  0.249319
2021-09-23 00:49:27.584667 : Epoch  8, Batch    349, Loss  0.775740, Average Loss  0.769761, Time  0.251053
2021-09-23 00:49:29.477477 : Epoch  8, Batch    350, Loss  0.774444, Average Loss  0.769809, Time  0.251856
2021-09-23 00:49:31.362647 : Epoch  8, Batch    351, Loss  0.766113, Average Loss  0.769759, Time  0.251822
2021-09-23 00:49:33.268315 : Epoch  8, Batch    352, Loss  0.770002, Average Loss  0.769762, Time  0.250954
2021-09-23 00:49:35.140015 : Epoch  8, Batch    353, Loss  0.776209, Average Loss  0.769839, Time  0.251009
2021-09-23 00:49:35.904763 : CheckPoint: Validation Loss  0.00031766, Best Loss  0.00030514
2021-09-23 00:49:37.027460 : Epoch  8, Batch    354, Loss  0.759186, Average Loss  0.769772, Time  0.255532
2021-09-23 00:49:37.814365 : Epoch  8, Batch    192, Loss  0.777015, Average Loss  0.770328, Time  0.254724
2021-09-23 00:49:38.962039 : Epoch  8, Batch    355, Loss  0.773622, Average Loss  0.769845, Time  0.254253
2021-09-23 00:49:39.716235 : Epoch  8, Batch    193, Loss  0.775557, Average Loss  0.770393, Time  0.254726
2021-09-23 00:49:40.847285 : Epoch  8, Batch    356, Loss  0.769825, Average Loss  0.769902, Time  0.254133
2021-09-23 00:49:41.613396 : Epoch  8, Batch    194, Loss  0.764425, Average Loss  0.770387, Time  0.253334
2021-09-23 00:49:42.742015 : Epoch  8, Batch    357, Loss  0.779738, Average Loss  0.770002, Time  0.259446
2021-09-23 00:49:43.511908 : Epoch  8, Batch    195, Loss  0.777418, Average Loss  0.770417, Time  0.254586
2021-09-23 00:49:44.635951 : Epoch  8, Batch    358, Loss  0.776997, Average Loss  0.770063, Time  0.252582
2021-09-23 00:49:45.424043 : Epoch  8, Batch    196, Loss  0.769295, Average Loss  0.770410, Time  0.257725
2021-09-23 00:49:46.530897 : Epoch  8, Batch    359, Loss  0.772742, Average Loss  0.770071, Time  0.248050
2021-09-23 00:49:47.334896 : Epoch  8, Batch    197, Loss  0.761302, Average Loss  0.770369, Time  0.264378
2021-09-23 00:49:48.417904 : Epoch  8, Batch    360, Loss  0.760956, Average Loss  0.770014, Time  0.254278
2021-09-23 00:49:49.230012 : Epoch  8, Batch    198, Loss  0.771330, Average Loss  0.770341, Time  0.260776
2021-09-23 00:49:50.306698 : Epoch  8, Batch    361, Loss  0.772853, Average Loss  0.770077, Time  0.248226
2021-09-23 00:49:51.148431 : Epoch  8, Batch    199, Loss  0.760937, Average Loss  0.770232, Time  0.254532
2021-09-23 00:49:53.066060 : Epoch  8, Batch    200, Loss  0.775360, Average Loss  0.770214, Time  0.251634
2021-09-23 00:49:53.994838 : Epoch  8, Batch    362, Loss  0.773444, Average Loss  0.770037, Time  0.251219
2021-09-23 00:49:54.973817 : Epoch  8, Batch    201, Loss  0.756955, Average Loss  0.770120, Time  0.251953
2021-09-23 00:49:55.883884 : Epoch  8, Batch    363, Loss  0.770720, Average Loss  0.770017, Time  0.248804
2021-09-23 00:49:56.889788 : Epoch  8, Batch    202, Loss  0.773880, Average Loss  0.770126, Time  0.251224
2021-09-23 00:49:57.782839 : Epoch  8, Batch    364, Loss  0.772754, Average Loss  0.770028, Time  0.252619
2021-09-23 00:49:58.788813 : Epoch  8, Batch    203, Loss  0.774116, Average Loss  0.770076, Time  0.266497
2021-09-23 00:49:59.671070 : Epoch  8, Batch    365, Loss  0.768824, Average Loss  0.770021, Time  0.252281
2021-09-23 00:50:00.686082 : Epoch  8, Batch    204, Loss  0.762236, Average Loss  0.770017, Time  0.255576
2021-09-23 00:50:01.535185 : Epoch  8, Batch    366, Loss  0.764839, Average Loss  0.769931, Time  0.250787
2021-09-23 00:50:02.585942 : Epoch  8, Batch    205, Loss  0.759139, Average Loss  0.769944, Time  0.253363
2021-09-23 00:50:03.437747 : Epoch  8, Batch    367, Loss  0.769124, Average Loss  0.769996, Time  0.252327
2021-09-23 00:50:04.513892 : Epoch  8, Batch    206, Loss  0.777866, Average Loss  0.769977, Time  0.252285
2021-09-23 00:50:05.316104 : Epoch  8, Batch    368, Loss  0.771186, Average Loss  0.770005, Time  0.249966
2021-09-23 00:50:06.420914 : Epoch  8, Batch    207, Loss  0.772210, Average Loss  0.769980, Time  0.252146
2021-09-23 00:50:07.187929 : Epoch  8, Batch    369, Loss  0.769027, Average Loss  0.770023, Time  0.249919
2021-09-23 00:50:08.314599 : Epoch  8, Batch    208, Loss  0.762952, Average Loss  0.770020, Time  0.255512
2021-09-23 00:50:09.060502 : Epoch  8, Batch    370, Loss  0.761445, Average Loss  0.770033, Time  0.248500
2021-09-23 00:50:10.226444 : Epoch  8, Batch    209, Loss  0.768447, Average Loss  0.770038, Time  0.261866
2021-09-23 00:50:10.963777 : Epoch  8, Batch    371, Loss  0.778359, Average Loss  0.770037, Time  0.249799
2021-09-23 00:50:12.143860 : Epoch  8, Batch    210, Loss  0.760538, Average Loss  0.769949, Time  0.252340
2021-09-23 00:50:12.870347 : Epoch  8, Batch    372, Loss  0.765562, Average Loss  0.770005, Time  0.252274
2021-09-23 00:50:14.056956 : Epoch  8, Batch    211, Loss  0.770662, Average Loss  0.769994, Time  0.257703
2021-09-23 00:50:14.775748 : Epoch  8, Batch    373, Loss  0.769190, Average Loss  0.769992, Time  0.248892
2021-09-23 00:50:15.969727 : Epoch  8, Batch    212, Loss  0.774868, Average Loss  0.769987, Time  0.257823
2021-09-23 00:50:16.663902 : Epoch  8, Batch    374, Loss  0.769998, Average Loss  0.769990, Time  0.252812
2021-09-23 00:50:17.887614 : Epoch  8, Batch    213, Loss  0.765946, Average Loss  0.770037, Time  0.254872
2021-09-23 00:50:18.555004 : Epoch  8, Batch    375, Loss  0.771048, Average Loss  0.770019, Time  0.248394
2021-09-23 00:50:19.804017 : Epoch  8, Batch    214, Loss  0.777342, Average Loss  0.770111, Time  0.258620
2021-09-23 00:50:20.437094 : Epoch  8, Batch    376, Loss  0.769876, Average Loss  0.769986, Time  0.249131
2021-09-23 00:50:21.708229 : Epoch  8, Batch    215, Loss  0.760887, Average Loss  0.770068, Time  0.253827
2021-09-23 00:50:22.314798 : Epoch  8, Batch    377, Loss  0.775824, Average Loss  0.769977, Time  0.249073
2021-09-23 00:50:23.612958 : Epoch  8, Batch    216, Loss  0.774934, Average Loss  0.770053, Time  0.251911
2021-09-23 00:50:24.210518 : Epoch  8, Batch    378, Loss  0.774342, Average Loss  0.770033, Time  0.250582
2021-09-23 00:50:25.519404 : Epoch  8, Batch    217, Loss  0.767705, Average Loss  0.770019, Time  0.251468
2021-09-23 00:50:26.089996 : Epoch  8, Batch    379, Loss  0.785511, Average Loss  0.770015, Time  0.251656
2021-09-23 00:50:27.435239 : Epoch  8, Batch    218, Loss  0.759594, Average Loss  0.769978, Time  0.252419
2021-09-23 00:50:27.976399 : Epoch  8, Batch    380, Loss  0.769413, Average Loss  0.770073, Time  0.256653
2021-09-23 00:50:29.325753 : Epoch  8, Batch    219, Loss  0.774647, Average Loss  0.770033, Time  0.251284
2021-09-23 00:50:29.868962 : Epoch  8, Batch    381, Loss  0.774498, Average Loss  0.770082, Time  0.256808
2021-09-23 00:50:31.210243 : Epoch  8, Batch    220, Loss  0.772176, Average Loss  0.770007, Time  0.251282
2021-09-23 00:50:31.772555 : Epoch  8, Batch    382, Loss  0.768882, Average Loss  0.770035, Time  0.249264
2021-09-23 00:50:33.120757 : Epoch  8, Batch    221, Loss  0.782663, Average Loss  0.770102, Time  0.258898
2021-09-23 00:50:33.695738 : Epoch  8, Batch    383, Loss  0.778516, Average Loss  0.770065, Time  0.250889
2021-09-23 00:50:33.864155 : Epoch  8, Batch    384, Loss  0.699150, Average Loss  0.769724, Time  0.112697
2021-09-23 00:50:35.015898 : Epoch  8, Batch    222, Loss  0.762400, Average Loss  0.770075, Time  0.251853
2021-09-23 00:50:35.758418 : Epoch  8, Batch    385, Loss  0.771527, Average Loss  0.769786, Time  0.250452
2021-09-23 00:50:36.918298 : Epoch  8, Batch    223, Loss  0.762364, Average Loss  0.770057, Time  0.253048
2021-09-23 00:50:37.628068 : Epoch  8, Batch    386, Loss  0.780479, Average Loss  0.769824, Time  0.248807
2021-09-23 00:50:38.805860 : Epoch  8, Batch    224, Loss  0.784096, Average Loss  0.770138, Time  0.254147
2021-09-23 00:50:39.504329 : Epoch  8, Batch    387, Loss  0.774644, Average Loss  0.769835, Time  0.249231
2021-09-23 00:50:40.726707 : Epoch  8, Batch    225, Loss  0.770174, Average Loss  0.770143, Time  0.255836
2021-09-23 00:50:41.383569 : Epoch  8, Batch    388, Loss  0.776103, Average Loss  0.769903, Time  0.249487
2021-09-23 00:50:42.657800 : Epoch  8, Batch    226, Loss  0.763452, Average Loss  0.770087, Time  0.280278
2021-09-23 00:50:43.263864 : Epoch  8, Batch    389, Loss  0.770252, Average Loss  0.769908, Time  0.249168
2021-09-23 00:50:44.565263 : Epoch  8, Batch    227, Loss  0.768666, Average Loss  0.770047, Time  0.256238
2021-09-23 00:50:45.142749 : Epoch  8, Batch    390, Loss  0.761535, Average Loss  0.769852, Time  0.248059
2021-09-23 00:50:46.454223 : Epoch  8, Batch    228, Loss  0.765309, Average Loss  0.770005, Time  0.252616
2021-09-23 00:50:47.029822 : Epoch  8, Batch    391, Loss  0.783745, Average Loss  0.769907, Time  0.250753
2021-09-23 00:50:48.374033 : Epoch  8, Batch    229, Loss  0.774521, Average Loss  0.770030, Time  0.256129
2021-09-23 00:50:50.258899 : Epoch  8, Batch    230, Loss  0.773364, Average Loss  0.770133, Time  0.251212
2021-09-23 00:50:52.139061 : Epoch  8, Batch    231, Loss  0.761895, Average Loss  0.770132, Time  0.251863
2021-09-23 00:50:52.941079 : CheckPoint: Validation Loss  0.00014888, Best Loss  0.00014643
2021-09-23 00:50:54.107097 : Epoch  8, Batch    232, Loss  0.770314, Average Loss  0.770146, Time  0.289505
2021-09-23 00:50:56.005124 : Epoch  8, Batch    233, Loss  0.771884, Average Loss  0.770132, Time  0.252299
2021-09-23 00:50:57.890874 : Epoch  8, Batch    234, Loss  0.761259, Average Loss  0.770083, Time  0.253815
2021-09-23 00:50:57.942821 : Epoch  4, Batch    517, Loss  0.856677, Average Loss  0.870389, Time  0.450992
2021-09-23 00:50:59.797106 : Epoch  8, Batch    235, Loss  0.780068, Average Loss  0.770143, Time  0.263534
2021-09-23 00:51:01.721879 : Epoch  8, Batch    236, Loss  0.780083, Average Loss  0.770203, Time  0.258080
2021-09-23 00:51:02.930896 : Epoch  4, Batch    518, Loss  0.870127, Average Loss  0.870359, Time  0.414206
2021-09-23 00:51:03.623267 : Epoch  8, Batch    237, Loss  0.779334, Average Loss  0.770268, Time  0.255441
2021-09-23 00:51:05.605825 : Epoch  8, Batch    238, Loss  0.776774, Average Loss  0.770305, Time  0.332055
2021-09-23 00:51:07.508456 : Epoch  8, Batch    239, Loss  0.767551, Average Loss  0.770246, Time  0.251503
2021-09-23 00:51:07.919974 : Epoch  4, Batch    519, Loss  0.868725, Average Loss  0.870343, Time  0.413213
2021-09-23 00:51:09.395247 : Epoch  8, Batch    240, Loss  0.768099, Average Loss  0.770246, Time  0.253643
2021-09-23 00:51:11.292099 : Epoch  8, Batch    241, Loss  0.762174, Average Loss  0.770195, Time  0.254428
2021-09-23 00:51:12.894053 : Epoch  4, Batch    520, Loss  0.875886, Average Loss  0.870428, Time  0.413847
2021-09-23 00:51:13.172574 : Epoch  8, Batch    242, Loss  0.773448, Average Loss  0.770247, Time  0.253282
2021-09-23 00:51:15.056633 : Epoch  8, Batch    243, Loss  0.760661, Average Loss  0.770262, Time  0.258197
2021-09-23 00:51:16.971026 : Epoch  8, Batch    244, Loss  0.778250, Average Loss  0.770317, Time  0.268743
2021-09-23 00:51:17.868848 : Epoch  4, Batch    521, Loss  0.884164, Average Loss  0.870469, Time  0.414221
2021-09-23 00:51:18.896816 : Epoch  8, Batch    245, Loss  0.779466, Average Loss  0.770329, Time  0.262173
2021-09-23 00:51:20.785028 : Epoch  8, Batch    246, Loss  0.762347, Average Loss  0.770354, Time  0.252346
2021-09-23 00:51:22.672338 : Epoch  8, Batch    247, Loss  0.776221, Average Loss  0.770393, Time  0.253178
2021-09-23 00:51:22.838724 : Epoch  4, Batch    522, Loss  0.872259, Average Loss  0.870470, Time  0.413044
2021-09-23 00:51:24.555768 : Epoch  8, Batch    248, Loss  0.769365, Average Loss  0.770386, Time  0.251852
2021-09-23 00:51:26.465274 : Epoch  8, Batch    249, Loss  0.781843, Average Loss  0.770442, Time  0.251676
2021-09-23 00:51:27.793751 : Epoch  4, Batch    523, Loss  0.860857, Average Loss  0.870469, Time  0.412803
2021-09-23 00:51:28.369884 : Epoch  8, Batch    250, Loss  0.784786, Average Loss  0.770565, Time  0.251395
2021-09-23 00:51:30.338027 : Epoch  8, Batch    251, Loss  0.773073, Average Loss  0.770579, Time  0.325769
2021-09-23 00:51:32.240575 : Epoch  8, Batch    252, Loss  0.761064, Average Loss  0.770517, Time  0.260458
2021-09-23 00:51:32.759736 : Epoch  4, Batch    524, Loss  0.873566, Average Loss  0.870401, Time  0.413032
2021-09-23 00:51:34.139329 : Epoch  8, Batch    253, Loss  0.777954, Average Loss  0.770530, Time  0.254136
2021-09-23 00:51:36.053462 : Epoch  8, Batch    254, Loss  0.772986, Average Loss  0.770486, Time  0.261101
2021-09-23 00:51:37.739802 : Epoch  4, Batch    525, Loss  0.879010, Average Loss  0.870357, Time  0.413096
2021-09-23 00:51:37.957767 : Epoch  8, Batch    255, Loss  0.753135, Average Loss  0.770410, Time  0.256325
2021-09-23 00:51:39.838306 : Epoch  8, Batch    256, Loss  0.767389, Average Loss  0.770394, Time  0.252105
2021-09-23 00:51:41.801827 : Epoch  8, Batch    257, Loss  0.764954, Average Loss  0.770342, Time  0.326334
2021-09-23 00:51:42.780721 : Epoch  4, Batch    526, Loss  0.871800, Average Loss  0.870300, Time  0.456348
2021-09-23 00:51:43.703299 : Epoch  8, Batch    258, Loss  0.768591, Average Loss  0.770351, Time  0.251268
2021-09-23 00:51:45.615804 : Epoch  8, Batch    259, Loss  0.777664, Average Loss  0.770398, Time  0.251737
2021-09-23 00:51:47.502385 : Epoch  8, Batch    260, Loss  0.757366, Average Loss  0.770278, Time  0.257458
2021-09-23 00:51:47.757765 : Epoch  4, Batch    527, Loss  0.870846, Average Loss  0.870303, Time  0.413144
2021-09-23 00:51:49.416640 : Epoch  8, Batch    261, Loss  0.773947, Average Loss  0.770305, Time  0.252857
2021-09-23 00:51:52.748127 : Epoch  4, Batch    528, Loss  0.861471, Average Loss  0.870286, Time  0.414581
2021-09-23 00:51:53.082856 : Epoch  8, Batch    262, Loss  0.778751, Average Loss  0.770367, Time  0.254312
2021-09-23 00:51:55.049328 : Epoch  8, Batch    263, Loss  0.778815, Average Loss  0.770395, Time  0.334525
2021-09-23 00:51:56.947252 : Epoch  8, Batch    264, Loss  0.779693, Average Loss  0.770396, Time  0.255135
2021-09-23 00:51:57.189713 : CheckPoint: Validation Loss  0.00031646, Best Loss  0.00030606
2021-09-23 00:51:57.749176 : Epoch  4, Batch    529, Loss  0.862643, Average Loss  0.870231, Time  0.424940
2021-09-23 00:51:58.882260 : Epoch  8, Batch    265, Loss  0.766223, Average Loss  0.770390, Time  0.288074
2021-09-23 00:51:59.078125 : Epoch  8, Batch    392, Loss  0.771870, Average Loss  0.769932, Time  0.278024
2021-09-23 00:52:00.937678 : Epoch  8, Batch    266, Loss  0.773255, Average Loss  0.770365, Time  0.394181
2021-09-23 00:52:01.047717 : Epoch  8, Batch    393, Loss  0.777797, Average Loss  0.769978, Time  0.354070
2021-09-23 00:52:02.714723 : Epoch  4, Batch    530, Loss  0.861449, Average Loss  0.870153, Time  0.413737
2021-09-23 00:52:03.115079 : Epoch  8, Batch    267, Loss  0.773413, Average Loss  0.770366, Time  0.504291
2021-09-23 00:52:03.140657 : Epoch  8, Batch    394, Loss  0.767408, Average Loss  0.769929, Time  0.465049
2021-09-23 00:52:05.251216 : Epoch  8, Batch    268, Loss  0.767193, Average Loss  0.770365, Time  0.511894
2021-09-23 00:52:05.286084 : Epoch  8, Batch    395, Loss  0.769504, Average Loss  0.769930, Time  0.492456
2021-09-23 00:52:07.414626 : Epoch  8, Batch    269, Loss  0.775150, Average Loss  0.770394, Time  0.514672
2021-09-23 00:52:07.455978 : Epoch  8, Batch    396, Loss  0.779823, Average Loss  0.769964, Time  0.510324
2021-09-23 00:52:07.695311 : Epoch  4, Batch    531, Loss  0.870992, Average Loss  0.870183, Time  0.413881
2021-09-23 00:52:09.570261 : Epoch  8, Batch    270, Loss  0.763513, Average Loss  0.770367, Time  0.513309
2021-09-23 00:52:09.602144 : Epoch  8, Batch    397, Loss  0.776592, Average Loss  0.769979, Time  0.492684
2021-09-23 00:52:11.742031 : Epoch  8, Batch    271, Loss  0.774260, Average Loss  0.770340, Time  0.523564
2021-09-23 00:52:11.784832 : Epoch  8, Batch    398, Loss  0.765463, Average Loss  0.769927, Time  0.513539
2021-09-23 00:52:12.690774 : Epoch  4, Batch    532, Loss  0.860726, Average Loss  0.870089, Time  0.413503
2021-09-23 00:52:13.898667 : Epoch  8, Batch    272, Loss  0.764069, Average Loss  0.770285, Time  0.512032
2021-09-23 00:52:13.941376 : Epoch  8, Batch    399, Loss  0.774730, Average Loss  0.769941, Time  0.494841
2021-09-23 00:52:16.080809 : Epoch  8, Batch    273, Loss  0.765664, Average Loss  0.770258, Time  0.511539
2021-09-23 00:52:16.112939 : Epoch  8, Batch    400, Loss  0.775007, Average Loss  0.769917, Time  0.521325
2021-09-23 00:52:17.668731 : Epoch  4, Batch    533, Loss  0.878478, Average Loss  0.870028, Time  0.413010
2021-09-23 00:52:18.219471 : Epoch  8, Batch    274, Loss  0.774408, Average Loss  0.770233, Time  0.507122
2021-09-23 00:52:18.259285 : Epoch  8, Batch    401, Loss  0.768993, Average Loss  0.769927, Time  0.479189
2021-09-23 00:52:20.414159 : Epoch  8, Batch    402, Loss  0.761678, Average Loss  0.769893, Time  0.525754
2021-09-23 00:52:20.449397 : Epoch  8, Batch    275, Loss  0.771424, Average Loss  0.770280, Time  0.525558
2021-09-23 00:52:22.536935 : Epoch  8, Batch    403, Loss  0.770671, Average Loss  0.769907, Time  0.496811
2021-09-23 00:52:22.575121 : Epoch  8, Batch    276, Loss  0.762308, Average Loss  0.770256, Time  0.464297
2021-09-23 00:52:22.650114 : Epoch  4, Batch    534, Loss  0.873053, Average Loss  0.870046, Time  0.414163
2021-09-23 00:52:24.681994 : Epoch  8, Batch    404, Loss  0.774368, Average Loss  0.769926, Time  0.500984
2021-09-23 00:52:24.716077 : Epoch  8, Batch    277, Loss  0.769592, Average Loss  0.770201, Time  0.467720
2021-09-23 00:52:26.810500 : Epoch  8, Batch    405, Loss  0.771228, Average Loss  0.769947, Time  0.504168
2021-09-23 00:52:26.846102 : Epoch  8, Batch    278, Loss  0.774899, Average Loss  0.770289, Time  0.454833
2021-09-23 00:52:27.687744 : Epoch  4, Batch    535, Loss  0.861742, Average Loss  0.869949, Time  0.439638
2021-09-23 00:52:28.949219 : Epoch  8, Batch    406, Loss  0.760979, Average Loss  0.769914, Time  0.498739
2021-09-23 00:52:28.985648 : Epoch  8, Batch    279, Loss  0.770453, Average Loss  0.770303, Time  0.473105
2021-09-23 00:52:31.061309 : Epoch  8, Batch    407, Loss  0.772889, Average Loss  0.769903, Time  0.487874
2021-09-23 00:52:31.121386 : Epoch  8, Batch    280, Loss  0.783455, Average Loss  0.770359, Time  0.477641
2021-09-23 00:52:32.657753 : Epoch  4, Batch    536, Loss  0.880675, Average Loss  0.870014, Time  0.413021
2021-09-23 00:52:33.157681 : Epoch  8, Batch    408, Loss  0.762676, Average Loss  0.769837, Time  0.453882
2021-09-23 00:52:33.320538 : Epoch  8, Batch    281, Loss  0.772744, Average Loss  0.770396, Time  0.426991
2021-09-23 00:52:35.351800 : Epoch  8, Batch    409, Loss  0.781708, Average Loss  0.769818, Time  0.439976
2021-09-23 00:52:35.417163 : Epoch  8, Batch    282, Loss  0.770962, Average Loss  0.770340, Time  0.398777
2021-09-23 00:52:37.433281 : Epoch  8, Batch    410, Loss  0.775764, Average Loss  0.769851, Time  0.432628
2021-09-23 00:52:37.507012 : Epoch  8, Batch    283, Loss  0.778508, Average Loss  0.770366, Time  0.401706
2021-09-23 00:52:37.659757 : Epoch  4, Batch    537, Loss  0.870632, Average Loss  0.870037, Time  0.413348
2021-09-23 00:52:39.543589 : Epoch  8, Batch    411, Loss  0.776746, Average Loss  0.769899, Time  0.481140
2021-09-23 00:52:39.592859 : Epoch  8, Batch    284, Loss  0.777456, Average Loss  0.770391, Time  0.442507
2021-09-23 00:52:41.650308 : Epoch  8, Batch    412, Loss  0.770316, Average Loss  0.769911, Time  0.463469
2021-09-23 00:52:41.705784 : Epoch  8, Batch    285, Loss  0.775487, Average Loss  0.770383, Time  0.434136
2021-09-23 00:52:42.660485 : Epoch  4, Batch    538, Loss  0.862492, Average Loss  0.869989, Time  0.416531
2021-09-23 00:52:43.807491 : Epoch  8, Batch    413, Loss  0.761438, Average Loss  0.769855, Time  0.492277
2021-09-23 00:52:43.837672 : Epoch  8, Batch    286, Loss  0.756480, Average Loss  0.770255, Time  0.465997
2021-09-23 00:52:45.927062 : Epoch  8, Batch    414, Loss  0.770025, Average Loss  0.769886, Time  0.494139
2021-09-23 00:52:45.961098 : Epoch  8, Batch    287, Loss  0.761235, Average Loss  0.770232, Time  0.463515
2021-09-23 00:52:47.624915 : Epoch  4, Batch    539, Loss  0.867140, Average Loss  0.869908, Time  0.413205
2021-09-23 00:52:48.087070 : Epoch  8, Batch    415, Loss  0.776294, Average Loss  0.769929, Time  0.504113
2021-09-23 00:52:48.120120 : Epoch  8, Batch    288, Loss  0.773814, Average Loss  0.770244, Time  0.482159
2021-09-23 00:52:50.181532 : Epoch  8, Batch    416, Loss  0.780237, Average Loss  0.769960, Time  0.483231
2021-09-23 00:52:50.233632 : Epoch  8, Batch    289, Loss  0.765500, Average Loss  0.770136, Time  0.453004
2021-09-23 00:52:52.309516 : Epoch  8, Batch    417, Loss  0.772103, Average Loss  0.769985, Time  0.495541
2021-09-23 00:52:52.342055 : Epoch  8, Batch    290, Loss  0.768082, Average Loss  0.770094, Time  0.464258
2021-09-23 00:52:52.605990 : Epoch  4, Batch    540, Loss  0.860787, Average Loss  0.869848, Time  0.415317
2021-09-23 00:52:54.403830 : Epoch  8, Batch    418, Loss  0.764655, Average Loss  0.770049, Time  0.478108
2021-09-23 00:52:54.451465 : Epoch  8, Batch    291, Loss  0.767552, Average Loss  0.770086, Time  0.446404
2021-09-23 00:52:56.302859 : Epoch  8, Batch    419, Loss  0.756450, Average Loss  0.769968, Time  0.251008
2021-09-23 00:52:57.567775 : Epoch  4, Batch    541, Loss  0.879598, Average Loss  0.869877, Time  0.413787
2021-09-23 00:52:58.192571 : Epoch  8, Batch    420, Loss  0.764283, Average Loss  0.769952, Time  0.248568
2021-09-23 00:53:00.082278 : Epoch  8, Batch    421, Loss  0.768265, Average Loss  0.769961, Time  0.251235
2021-09-23 00:53:01.974295 : Epoch  8, Batch    422, Loss  0.770906, Average Loss  0.769919, Time  0.249295
2021-09-23 00:53:02.560836 : Epoch  4, Batch    542, Loss  0.869121, Average Loss  0.869836, Time  0.414531
2021-09-23 00:53:03.881123 : Epoch  8, Batch    423, Loss  0.775273, Average Loss  0.769909, Time  0.248626
2021-09-23 00:53:05.775447 : Epoch  8, Batch    424, Loss  0.760068, Average Loss  0.769833, Time  0.255596
2021-09-23 00:53:07.543954 : Epoch  4, Batch    543, Loss  0.886029, Average Loss  0.869970, Time  0.413173
2021-09-23 00:53:07.669006 : Epoch  8, Batch    425, Loss  0.763065, Average Loss  0.769767, Time  0.251035
2021-09-23 00:53:09.555906 : Epoch  8, Batch    426, Loss  0.765727, Average Loss  0.769740, Time  0.249807
2021-09-23 00:53:11.520885 : Epoch  8, Batch    427, Loss  0.783329, Average Loss  0.769749, Time  0.330191
2021-09-23 00:53:12.527820 : Epoch  4, Batch    544, Loss  0.872272, Average Loss  0.870012, Time  0.415260
2021-09-23 00:53:13.411197 : Epoch  8, Batch    428, Loss  0.770355, Average Loss  0.769702, Time  0.250897
2021-09-23 00:53:15.299814 : Epoch  8, Batch    429, Loss  0.766227, Average Loss  0.769685, Time  0.256474
2021-09-23 00:53:17.183265 : Epoch  8, Batch    430, Loss  0.777530, Average Loss  0.769726, Time  0.248616
2021-09-23 00:53:17.560026 : Epoch  4, Batch    545, Loss  0.874064, Average Loss  0.870043, Time  0.454073
2021-09-23 00:53:19.066720 : Epoch  8, Batch    431, Loss  0.765669, Average Loss  0.769755, Time  0.257505
2021-09-23 00:53:20.943000 : Epoch  8, Batch    432, Loss  0.758295, Average Loss  0.769729, Time  0.255677
2021-09-23 00:53:22.546735 : Epoch  4, Batch    546, Loss  0.869323, Average Loss  0.870027, Time  0.413332
2021-09-23 00:53:22.844276 : Epoch  8, Batch    433, Loss  0.775589, Average Loss  0.769773, Time  0.251293
2021-09-23 00:53:24.782296 : Epoch  8, Batch    434, Loss  0.760811, Average Loss  0.769706, Time  0.323703
2021-09-23 00:53:26.663467 : Epoch  8, Batch    435, Loss  0.768641, Average Loss  0.769721, Time  0.250385
2021-09-23 00:53:27.526849 : Epoch  4, Batch    547, Loss  0.873260, Average Loss  0.870165, Time  0.413540
2021-09-23 00:53:28.535656 : Epoch  8, Batch    436, Loss  0.763665, Average Loss  0.769712, Time  0.250663
2021-09-23 00:53:30.422840 : Epoch  8, Batch    437, Loss  0.770988, Average Loss  0.769651, Time  0.254344
2021-09-23 00:53:32.292803 : Epoch  8, Batch    438, Loss  0.764541, Average Loss  0.769635, Time  0.250560
2021-09-23 00:53:32.486077 : Epoch  4, Batch    548, Loss  0.858337, Average Loss  0.870074, Time  0.413682
2021-09-23 00:53:34.166966 : Epoch  8, Batch    439, Loss  0.777342, Average Loss  0.769654, Time  0.248721
2021-09-23 00:53:36.047830 : Epoch  8, Batch    440, Loss  0.763624, Average Loss  0.769633, Time  0.251520
2021-09-23 00:53:37.443722 : Epoch  4, Batch    549, Loss  0.862749, Average Loss  0.870009, Time  0.413210
2021-09-23 00:53:37.923289 : Epoch  8, Batch    441, Loss  0.765981, Average Loss  0.769633, Time  0.255407
2021-09-23 00:53:39.874874 : Epoch  8, Batch    442, Loss  0.772094, Average Loss  0.769648, Time  0.323382
2021-09-23 00:53:41.762509 : Epoch  8, Batch    443, Loss  0.756535, Average Loss  0.769659, Time  0.254996
2021-09-23 00:53:42.407809 : Epoch  4, Batch    550, Loss  0.876347, Average Loss  0.869976, Time  0.413216
2021-09-23 00:53:43.630973 : Epoch  8, Batch    444, Loss  0.781908, Average Loss  0.769660, Time  0.249744
2021-09-23 00:53:45.558287 : Epoch  8, Batch    445, Loss  0.775023, Average Loss  0.769640, Time  0.254226
2021-09-23 00:53:47.382197 : Epoch  4, Batch    551, Loss  0.861993, Average Loss  0.869918, Time  0.414793
2021-09-23 00:53:47.442539 : Epoch  8, Batch    446, Loss  0.773563, Average Loss  0.769644, Time  0.251527
2021-09-23 00:53:49.306417 : Epoch  8, Batch    447, Loss  0.762259, Average Loss  0.769573, Time  0.251391
2021-09-23 00:53:51.181118 : Epoch  8, Batch    448, Loss  0.762217, Average Loss  0.769514, Time  0.251043
2021-09-23 00:53:52.372137 : Epoch  4, Batch    552, Loss  0.863335, Average Loss  0.869869, Time  0.413556
2021-09-23 00:53:53.129848 : Epoch  8, Batch    449, Loss  0.766149, Average Loss  0.769524, Time  0.326946
2021-09-23 00:53:54.999261 : Epoch  8, Batch    450, Loss  0.760218, Average Loss  0.769538, Time  0.248759
2021-09-23 00:53:56.886393 : Epoch  8, Batch    451, Loss  0.763667, Average Loss  0.769468, Time  0.250813
2021-09-23 00:53:57.342771 : Epoch  4, Batch    553, Loss  0.882787, Average Loss  0.869946, Time  0.413917
2021-09-23 00:53:58.784728 : Epoch  8, Batch    452, Loss  0.769939, Average Loss  0.769397, Time  0.248189
2021-09-23 00:54:00.662610 : Epoch  8, Batch    453, Loss  0.763975, Average Loss  0.769343, Time  0.249798
2021-09-23 00:54:02.352880 : Epoch  4, Batch    554, Loss  0.880306, Average Loss  0.869981, Time  0.465901
2021-09-23 00:54:02.580187 : Epoch  8, Batch    454, Loss  0.753243, Average Loss  0.769261, Time  0.253852
2021-09-23 00:54:04.447054 : Epoch  8, Batch    455, Loss  0.774712, Average Loss  0.769327, Time  0.252227
2021-09-23 00:54:05.307757 : CheckPoint: Validation Loss  0.00033340, Best Loss  0.00030514
2021-09-23 00:54:06.330893 : Epoch  8, Batch    456, Loss  0.777597, Average Loss  0.769439, Time  0.248782
2021-09-23 00:54:07.215112 : Epoch  8, Batch    292, Loss  0.775861, Average Loss  0.770117, Time  0.251736
2021-09-23 00:54:07.399016 : Epoch  4, Batch    555, Loss  0.876400, Average Loss  0.870061, Time  0.417478
2021-09-23 00:54:08.218193 : Epoch  8, Batch    457, Loss  0.759762, Average Loss  0.769418, Time  0.250454
2021-09-23 00:54:09.101560 : Epoch  8, Batch    293, Loss  0.765738, Average Loss  0.770074, Time  0.251812
2021-09-23 00:54:10.081653 : Epoch  8, Batch    458, Loss  0.767453, Average Loss  0.769357, Time  0.249781
2021-09-23 00:54:10.983909 : Epoch  8, Batch    294, Loss  0.772325, Average Loss  0.770147, Time  0.254870
2021-09-23 00:54:11.989916 : Epoch  8, Batch    459, Loss  0.772599, Average Loss  0.769421, Time  0.253781
2021-09-23 00:54:12.342054 : Epoch  4, Batch    556, Loss  0.883187, Average Loss  0.870101, Time  0.413203
2021-09-23 00:54:12.919772 : Epoch  8, Batch    295, Loss  0.768508, Average Loss  0.770136, Time  0.254388
2021-09-23 00:54:13.877835 : Epoch  8, Batch    460, Loss  0.769777, Average Loss  0.769491, Time  0.254041
2021-09-23 00:54:14.819076 : Epoch  8, Batch    296, Loss  0.776822, Average Loss  0.770179, Time  0.250979
2021-09-23 00:54:15.741938 : Epoch  8, Batch    461, Loss  0.779019, Average Loss  0.769571, Time  0.253423
2021-09-23 00:54:16.717120 : Epoch  8, Batch    297, Loss  0.769907, Average Loss  0.770134, Time  0.258390
2021-09-23 00:54:17.307456 : Epoch  4, Batch    557, Loss  0.862177, Average Loss  0.870086, Time  0.415364
2021-09-23 00:54:18.614913 : Epoch  8, Batch    298, Loss  0.772334, Average Loss  0.770161, Time  0.252818
2021-09-23 00:54:19.571538 : Epoch  8, Batch    462, Loss  0.773698, Average Loss  0.769619, Time  0.253929
2021-09-23 00:54:20.519840 : Epoch  8, Batch    299, Loss  0.769974, Average Loss  0.770105, Time  0.260185
2021-09-23 00:54:21.471150 : Epoch  8, Batch    463, Loss  0.767915, Average Loss  0.769605, Time  0.256089
2021-09-23 00:54:22.289769 : Epoch  4, Batch    558, Loss  0.877963, Average Loss  0.870177, Time  0.414404
2021-09-23 00:54:22.412215 : Epoch  8, Batch    300, Loss  0.772220, Average Loss  0.770041, Time  0.251571
2021-09-23 00:54:23.382273 : Epoch  8, Batch    464, Loss  0.771570, Average Loss  0.769617, Time  0.253634
2021-09-23 00:54:24.291053 : Epoch  8, Batch    301, Loss  0.758309, Average Loss  0.770001, Time  0.259237
2021-09-23 00:54:25.259903 : Epoch  8, Batch    465, Loss  0.767446, Average Loss  0.769595, Time  0.250762
2021-09-23 00:54:26.173838 : Epoch  8, Batch    302, Loss  0.775094, Average Loss  0.769990, Time  0.254103
2021-09-23 00:54:27.138614 : Epoch  8, Batch    466, Loss  0.773777, Average Loss  0.769596, Time  0.260462
2021-09-23 00:54:27.269764 : Epoch  4, Batch    559, Loss  0.876846, Average Loss  0.870195, Time  0.423089
2021-09-23 00:54:28.069962 : Epoch  8, Batch    303, Loss  0.779349, Average Loss  0.770035, Time  0.251836
2021-09-23 00:54:29.041910 : Epoch  8, Batch    467, Loss  0.765051, Average Loss  0.769623, Time  0.253481
2021-09-23 00:54:29.978521 : Epoch  8, Batch    304, Loss  0.769377, Average Loss  0.770019, Time  0.256791
2021-09-23 00:54:30.943313 : Epoch  8, Batch    468, Loss  0.777879, Average Loss  0.769663, Time  0.250801
2021-09-23 00:54:31.897087 : Epoch  8, Batch    305, Loss  0.776758, Average Loss  0.770029, Time  0.251799
2021-09-23 00:54:32.204835 : Epoch  4, Batch    560, Loss  0.867878, Average Loss  0.870218, Time  0.412995
2021-09-23 00:54:32.834940 : Epoch  8, Batch    469, Loss  0.764675, Average Loss  0.769614, Time  0.248983
2021-09-23 00:54:33.827861 : Epoch  8, Batch    306, Loss  0.775528, Average Loss  0.770040, Time  0.253103
2021-09-23 00:54:34.714792 : Epoch  8, Batch    470, Loss  0.771914, Average Loss  0.769688, Time  0.251689
2021-09-23 00:54:35.721535 : Epoch  8, Batch    307, Loss  0.784035, Average Loss  0.770075, Time  0.256365
2021-09-23 00:54:36.603562 : Epoch  8, Batch    471, Loss  0.764309, Average Loss  0.769661, Time  0.248317
2021-09-23 00:54:37.152730 : Epoch  4, Batch    561, Loss  0.872752, Average Loss  0.870208, Time  0.413016
2021-09-23 00:54:37.616052 : Epoch  8, Batch    308, Loss  0.779708, Average Loss  0.770147, Time  0.253413
2021-09-23 00:54:38.474922 : Epoch  8, Batch    472, Loss  0.776356, Average Loss  0.769703, Time  0.248349
2021-09-23 00:54:39.497270 : Epoch  8, Batch    309, Loss  0.775247, Average Loss  0.770138, Time  0.251441
2021-09-23 00:54:40.345350 : Epoch  8, Batch    473, Loss  0.780094, Average Loss  0.769808, Time  0.248329
2021-09-23 00:54:41.438867 : Epoch  8, Batch    310, Loss  0.761737, Average Loss  0.770055, Time  0.257641
2021-09-23 00:54:42.122390 : Epoch  4, Batch    562, Loss  0.861151, Average Loss  0.870142, Time  0.413385
2021-09-23 00:54:42.225664 : Epoch  8, Batch    474, Loss  0.763775, Average Loss  0.769786, Time  0.250686
2021-09-23 00:54:43.349743 : Epoch  8, Batch    311, Loss  0.762094, Average Loss  0.770008, Time  0.256358
2021-09-23 00:54:44.075744 : Epoch  8, Batch    475, Loss  0.754914, Average Loss  0.769759, Time  0.251563
2021-09-23 00:54:45.255017 : Epoch  8, Batch    312, Loss  0.767165, Average Loss  0.770039, Time  0.252544
2021-09-23 00:54:45.951019 : Epoch  8, Batch    476, Loss  0.762341, Average Loss  0.769697, Time  0.248755
2021-09-23 00:54:47.139754 : Epoch  4, Batch    563, Loss  0.877466, Average Loss  0.870219, Time  0.450188
2021-09-23 00:54:47.155037 : Epoch  8, Batch    313, Loss  0.772222, Average Loss  0.770052, Time  0.266731
2021-09-23 00:54:47.827783 : Epoch  8, Batch    477, Loss  0.761307, Average Loss  0.769607, Time  0.249357
2021-09-23 00:54:49.049433 : Epoch  8, Batch    314, Loss  0.773012, Average Loss  0.770078, Time  0.256820
2021-09-23 00:54:49.713989 : Epoch  8, Batch    478, Loss  0.756992, Average Loss  0.769550, Time  0.257864
2021-09-23 00:54:50.941494 : Epoch  8, Batch    315, Loss  0.773045, Average Loss  0.770132, Time  0.255640
2021-09-23 00:54:51.615153 : Epoch  8, Batch    479, Loss  0.772554, Average Loss  0.769558, Time  0.267946
2021-09-23 00:54:52.115753 : Epoch  4, Batch    564, Loss  0.869300, Average Loss  0.870182, Time  0.414598
2021-09-23 00:54:52.826067 : Epoch  8, Batch    316, Loss  0.764185, Average Loss  0.770107, Time  0.255218
2021-09-23 00:54:53.483790 : Epoch  8, Batch    480, Loss  0.768332, Average Loss  0.769539, Time  0.248708
2021-09-23 00:54:54.724909 : Epoch  8, Batch    317, Loss  0.764152, Average Loss  0.770110, Time  0.253516
2021-09-23 00:54:55.365249 : Epoch  8, Batch    481, Loss  0.765704, Average Loss  0.769552, Time  0.250359
2021-09-23 00:54:56.664452 : Epoch  8, Batch    318, Loss  0.767422, Average Loss  0.770156, Time  0.263414
2021-09-23 00:54:57.071098 : Epoch  4, Batch    565, Loss  0.871225, Average Loss  0.870215, Time  0.414250
2021-09-23 00:54:57.285181 : Epoch  8, Batch    482, Loss  0.755765, Average Loss  0.769473, Time  0.253067
2021-09-23 00:54:58.558382 : Epoch  8, Batch    319, Loss  0.771477, Average Loss  0.770187, Time  0.253196
2021-09-23 00:54:59.154478 : Epoch  8, Batch    483, Loss  0.762328, Average Loss  0.769437, Time  0.250789
2021-09-23 00:55:00.451159 : Epoch  8, Batch    320, Loss  0.776571, Average Loss  0.770172, Time  0.252040
2021-09-23 00:55:01.007904 : Epoch  8, Batch    484, Loss  0.772639, Average Loss  0.769465, Time  0.250589
2021-09-23 00:55:02.020093 : Epoch  4, Batch    566, Loss  0.872243, Average Loss  0.870234, Time  0.413586
2021-09-23 00:55:02.349372 : Epoch  8, Batch    321, Loss  0.764233, Average Loss  0.770139, Time  0.257173
2021-09-23 00:55:02.886121 : Epoch  8, Batch    485, Loss  0.766797, Average Loss  0.769447, Time  0.249998
2021-09-23 00:55:04.250742 : Epoch  8, Batch    322, Loss  0.784993, Average Loss  0.770233, Time  0.252034
2021-09-23 00:55:04.782655 : Epoch  8, Batch    486, Loss  0.765203, Average Loss  0.769381, Time  0.251253
2021-09-23 00:55:06.153867 : Epoch  8, Batch    323, Loss  0.774444, Average Loss  0.770213, Time  0.251594
2021-09-23 00:55:06.657065 : Epoch  8, Batch    487, Loss  0.765176, Average Loss  0.769393, Time  0.247992
2021-09-23 00:55:07.043741 : Epoch  4, Batch    567, Loss  0.858597, Average Loss  0.870193, Time  0.413608
2021-09-23 00:55:08.047146 : Epoch  8, Batch    324, Loss  0.773598, Average Loss  0.770301, Time  0.251307
2021-09-23 00:55:08.518676 : Epoch  8, Batch    488, Loss  0.776092, Average Loss  0.769416, Time  0.254678
2021-09-23 00:55:09.955283 : Epoch  8, Batch    325, Loss  0.763500, Average Loss  0.770241, Time  0.261850
2021-09-23 00:55:10.385092 : Epoch  8, Batch    489, Loss  0.777275, Average Loss  0.769459, Time  0.259417
2021-09-23 00:55:11.874105 : Epoch  8, Batch    326, Loss  0.769468, Average Loss  0.770238, Time  0.252243
2021-09-23 00:55:12.010056 : Epoch  4, Batch    568, Loss  0.867278, Average Loss  0.870144, Time  0.414176
2021-09-23 00:55:12.265809 : Epoch  8, Batch    490, Loss  0.756755, Average Loss  0.769389, Time  0.249620
2021-09-23 00:55:13.792286 : Epoch  8, Batch    327, Loss  0.792684, Average Loss  0.770301, Time  0.253924
2021-09-23 00:55:15.693947 : Epoch  8, Batch    328, Loss  0.761284, Average Loss  0.770225, Time  0.254408
2021-09-23 00:55:15.924948 : Epoch  8, Batch    491, Loss  0.761307, Average Loss  0.769347, Time  0.263759
2021-09-23 00:55:16.964731 : Epoch  4, Batch    569, Loss  0.870471, Average Loss  0.870164, Time  0.413358
2021-09-23 00:55:17.595077 : Epoch  8, Batch    329, Loss  0.778252, Average Loss  0.770315, Time  0.256302
2021-09-23 00:55:19.579887 : Epoch  8, Batch    330, Loss  0.768972, Average Loss  0.770281, Time  0.324533
2021-09-23 00:55:21.475242 : Epoch  8, Batch    331, Loss  0.775025, Average Loss  0.770351, Time  0.252238
2021-09-23 00:55:21.930353 : Epoch  4, Batch    570, Loss  0.873610, Average Loss  0.870207, Time  0.413682
2021-09-23 00:55:23.373934 : Epoch  8, Batch    332, Loss  0.786419, Average Loss  0.770440, Time  0.251374
2021-09-23 00:55:25.282247 : Epoch  8, Batch    333, Loss  0.778839, Average Loss  0.770506, Time  0.254286
2021-09-23 00:55:26.902808 : Epoch  4, Batch    571, Loss  0.892588, Average Loss  0.870357, Time  0.414454
2021-09-23 00:55:27.172369 : Epoch  8, Batch    334, Loss  0.756953, Average Loss  0.770451, Time  0.253933
2021-09-23 00:55:29.065898 : Epoch  8, Batch    335, Loss  0.761391, Average Loss  0.770434, Time  0.252447
2021-09-23 00:55:31.037232 : Epoch  8, Batch    336, Loss  0.770206, Average Loss  0.770403, Time  0.325884
2021-09-23 00:55:31.916984 : Epoch  4, Batch    572, Loss  0.878927, Average Loss  0.870391, Time  0.463008
2021-09-23 00:55:32.958759 : Epoch  8, Batch    337, Loss  0.767485, Average Loss  0.770373, Time  0.261134
2021-09-23 00:55:34.859377 : Epoch  8, Batch    338, Loss  0.769106, Average Loss  0.770324, Time  0.254930
2021-09-23 00:55:36.756004 : Epoch  8, Batch    339, Loss  0.768356, Average Loss  0.770388, Time  0.252412
2021-09-23 00:55:36.906730 : Epoch  4, Batch    573, Loss  0.877805, Average Loss  0.870494, Time  0.430086
2021-09-23 00:55:38.653513 : Epoch  8, Batch    340, Loss  0.781850, Average Loss  0.770459, Time  0.253455
2021-09-23 00:55:40.545808 : Epoch  8, Batch    341, Loss  0.766299, Average Loss  0.770385, Time  0.253478
2021-09-23 00:55:41.855982 : Epoch  4, Batch    574, Loss  0.875644, Average Loss  0.870486, Time  0.413458
2021-09-23 00:55:42.506528 : Epoch  8, Batch    342, Loss  0.772618, Average Loss  0.770440, Time  0.328253
2021-09-23 00:55:44.410255 : Epoch  8, Batch    343, Loss  0.770152, Average Loss  0.770399, Time  0.255835
2021-09-23 00:55:46.319901 : Epoch  8, Batch    344, Loss  0.765479, Average Loss  0.770345, Time  0.252110
2021-09-23 00:55:46.808721 : Epoch  4, Batch    575, Loss  0.876387, Average Loss  0.870498, Time  0.413300
2021-09-23 00:55:48.218842 : Epoch  8, Batch    345, Loss  0.779569, Average Loss  0.770393, Time  0.252006
2021-09-23 00:55:50.100239 : Epoch  8, Batch    346, Loss  0.776410, Average Loss  0.770435, Time  0.252863
2021-09-23 00:55:51.782235 : Epoch  4, Batch    576, Loss  0.861382, Average Loss  0.870474, Time  0.414257
2021-09-23 00:55:51.994006 : Epoch  8, Batch    347, Loss  0.767479, Average Loss  0.770422, Time  0.252419
2021-09-23 00:55:53.896709 : Epoch  8, Batch    348, Loss  0.777087, Average Loss  0.770416, Time  0.252513
2021-09-23 00:55:55.836049 : Epoch  8, Batch    349, Loss  0.780902, Average Loss  0.770522, Time  0.281669
2021-09-23 00:55:56.753039 : Epoch  4, Batch    577, Loss  0.871045, Average Loss  0.870406, Time  0.413373
2021-09-23 00:55:57.763250 : Epoch  8, Batch    350, Loss  0.772092, Average Loss  0.770541, Time  0.254477
2021-09-23 00:55:59.659119 : Epoch  8, Batch    351, Loss  0.767933, Average Loss  0.770511, Time  0.252993
2021-09-23 00:56:01.558443 : Epoch  8, Batch    352, Loss  0.770661, Average Loss  0.770513, Time  0.255374
2021-09-23 00:56:01.735308 : Epoch  4, Batch    578, Loss  0.864514, Average Loss  0.870384, Time  0.415215
2021-09-23 00:56:03.450998 : Epoch  8, Batch    353, Loss  0.780207, Average Loss  0.770598, Time  0.253341
2021-09-23 00:56:05.337165 : Epoch  8, Batch    354, Loss  0.763753, Average Loss  0.770586, Time  0.250963
2021-09-23 00:56:06.691784 : Epoch  4, Batch    579, Loss  0.878051, Average Loss  0.870445, Time  0.413243
2021-09-23 00:56:07.324417 : Epoch  8, Batch    355, Loss  0.790630, Average Loss  0.770662, Time  0.324575
2021-09-23 00:56:09.224055 : Epoch  8, Batch    356, Loss  0.765986, Average Loss  0.770610, Time  0.253441
2021-09-23 00:56:11.133469 : Epoch  8, Batch    357, Loss  0.767301, Average Loss  0.770621, Time  0.251966
2021-09-23 00:56:11.673030 : Epoch  4, Batch    580, Loss  0.860433, Average Loss  0.870522, Time  0.414171
2021-09-23 00:56:13.050390 : Epoch  8, Batch    358, Loss  0.760854, Average Loss  0.770600, Time  0.252914
2021-09-23 00:56:14.973355 : Epoch  8, Batch    359, Loss  0.770353, Average Loss  0.770670, Time  0.252143
2021-09-23 00:56:16.675149 : Epoch  4, Batch    581, Loss  0.863257, Average Loss  0.870438, Time  0.450701
2021-09-23 00:56:16.894691 : Epoch  8, Batch    360, Loss  0.770418, Average Loss  0.770644, Time  0.259742
2021-09-23 00:56:18.859048 : Epoch  8, Batch    361, Loss  0.774141, Average Loss  0.770684, Time  0.330353
2021-09-23 00:56:21.684820 : Epoch  4, Batch    582, Loss  0.865738, Average Loss  0.870482, Time  0.413036
2021-09-23 00:56:22.560285 : Epoch  8, Batch    362, Loss  0.777290, Average Loss  0.770751, Time  0.252228
2021-09-23 00:56:24.474316 : Epoch  8, Batch    363, Loss  0.771430, Average Loss  0.770761, Time  0.251661
2021-09-23 00:56:25.897274 : CheckPoint: Validation Loss  0.00031256, Best Loss  0.00030606
2021-09-23 00:56:26.373151 : Epoch  8, Batch    364, Loss  0.774447, Average Loss  0.770776, Time  0.255434
2021-09-23 00:56:26.655946 : Epoch  4, Batch    583, Loss  0.870255, Average Loss  0.870499, Time  0.413246
2021-09-23 00:56:27.782922 : Epoch  8, Batch    492, Loss  0.777514, Average Loss  0.769377, Time  0.251186
2021-09-23 00:56:28.290857 : Epoch  8, Batch    365, Loss  0.773651, Average Loss  0.770811, Time  0.252037
2021-09-23 00:56:29.670212 : Epoch  8, Batch    493, Loss  0.773579, Average Loss  0.769423, Time  0.248834
2021-09-23 00:56:30.183783 : Epoch  8, Batch    366, Loss  0.770805, Average Loss  0.770854, Time  0.254079
2021-09-23 00:56:31.542385 : Epoch  8, Batch    494, Loss  0.771757, Average Loss  0.769439, Time  0.247963
2021-09-23 00:56:31.596939 : Epoch  4, Batch    584, Loss  0.883445, Average Loss  0.870609, Time  0.413122
2021-09-23 00:56:32.100591 : Epoch  8, Batch    367, Loss  0.780802, Average Loss  0.770978, Time  0.256592
2021-09-23 00:56:33.401372 : Epoch  8, Batch    495, Loss  0.773639, Average Loss  0.769409, Time  0.248786
2021-09-23 00:56:34.002348 : Epoch  8, Batch    368, Loss  0.763187, Average Loss  0.770876, Time  0.253640
2021-09-23 00:56:35.275102 : Epoch  8, Batch    496, Loss  0.773271, Average Loss  0.769432, Time  0.248752
2021-09-23 00:56:35.936920 : Epoch  8, Batch    369, Loss  0.773975, Average Loss  0.770904, Time  0.253297
2021-09-23 00:56:36.563828 : Epoch  4, Batch    585, Loss  0.865277, Average Loss  0.870614, Time  0.413585
2021-09-23 00:56:37.151827 : Epoch  8, Batch    497, Loss  0.766190, Average Loss  0.769447, Time  0.250498
2021-09-23 00:56:37.857629 : Epoch  8, Batch    370, Loss  0.772721, Average Loss  0.770875, Time  0.267021
2021-09-23 00:56:39.052034 : Epoch  8, Batch    498, Loss  0.770990, Average Loss  0.769554, Time  0.247943
2021-09-23 00:56:39.761679 : Epoch  8, Batch    371, Loss  0.751583, Average Loss  0.770808, Time  0.253940
2021-09-23 00:56:40.954179 : Epoch  8, Batch    499, Loss  0.770284, Average Loss  0.769559, Time  0.249491
2021-09-23 00:56:41.536473 : Epoch  4, Batch    586, Loss  0.865301, Average Loss  0.870576, Time  0.413598
2021-09-23 00:56:41.662950 : Epoch  8, Batch    372, Loss  0.763891, Average Loss  0.770770, Time  0.253289
2021-09-23 00:56:42.818874 : Epoch  8, Batch    500, Loss  0.779425, Average Loss  0.769590, Time  0.249022
2021-09-23 00:56:43.561514 : Epoch  8, Batch    373, Loss  0.772569, Average Loss  0.770826, Time  0.254882
2021-09-23 00:56:44.693384 : Epoch  8, Batch    501, Loss  0.765552, Average Loss  0.769578, Time  0.250025
2021-09-23 00:56:45.471820 : Epoch  8, Batch    374, Loss  0.776564, Average Loss  0.770862, Time  0.252926
2021-09-23 00:56:46.526337 : Epoch  4, Batch    587, Loss  0.866715, Average Loss  0.870549, Time  0.423200
2021-09-23 00:56:46.576531 : Epoch  8, Batch    502, Loss  0.783598, Average Loss  0.769676, Time  0.250864
2021-09-23 00:56:47.383303 : Epoch  8, Batch    375, Loss  0.767818, Average Loss  0.770862, Time  0.252638
2021-09-23 00:56:48.435286 : Epoch  8, Batch    503, Loss  0.769593, Average Loss  0.769655, Time  0.251062
2021-09-23 00:56:49.298347 : Epoch  8, Batch    376, Loss  0.773528, Average Loss  0.770891, Time  0.254075
2021-09-23 00:56:50.293794 : Epoch  8, Batch    504, Loss  0.777145, Average Loss  0.769628, Time  0.248807
2021-09-23 00:56:51.205872 : Epoch  8, Batch    377, Loss  0.772312, Average Loss  0.770918, Time  0.261194
2021-09-23 00:56:51.506995 : Epoch  4, Batch    588, Loss  0.873655, Average Loss  0.870564, Time  0.413430
2021-09-23 00:56:52.160989 : Epoch  8, Batch    505, Loss  0.755871, Average Loss  0.769599, Time  0.256902
2021-09-23 00:56:53.121292 : Epoch  8, Batch    378, Loss  0.764865, Average Loss  0.770907, Time  0.262378
2021-09-23 00:56:54.028568 : Epoch  8, Batch    506, Loss  0.762562, Average Loss  0.769586, Time  0.254821
2021-09-23 00:56:55.008820 : Epoch  8, Batch    379, Loss  0.762942, Average Loss  0.770893, Time  0.253492
2021-09-23 00:56:55.917068 : Epoch  8, Batch    507, Loss  0.766094, Average Loss  0.769517, Time  0.249605
2021-09-23 00:56:56.469750 : Epoch  4, Batch    589, Loss  0.878879, Average Loss  0.870566, Time  0.414124
2021-09-23 00:56:56.901718 : Epoch  8, Batch    380, Loss  0.758228, Average Loss  0.770869, Time  0.251849
2021-09-23 00:56:57.814910 : Epoch  8, Batch    508, Loss  0.761432, Average Loss  0.769508, Time  0.248486
2021-09-23 00:56:58.796555 : Epoch  8, Batch    381, Loss  0.772330, Average Loss  0.770914, Time  0.254179
2021-09-23 00:56:59.673856 : Epoch  8, Batch    509, Loss  0.770947, Average Loss  0.769490, Time  0.249196
2021-09-23 00:57:00.707336 : Epoch  8, Batch    382, Loss  0.760275, Average Loss  0.770872, Time  0.258307
2021-09-23 00:57:01.474158 : Epoch  4, Batch    590, Loss  0.883226, Average Loss  0.870629, Time  0.413653
2021-09-23 00:57:01.554888 : Epoch  8, Batch    510, Loss  0.766831, Average Loss  0.769457, Time  0.252348
2021-09-23 00:57:02.603276 : Epoch  8, Batch    383, Loss  0.781528, Average Loss  0.770926, Time  0.253634
2021-09-23 00:57:03.435985 : Epoch  8, Batch    511, Loss  0.772558, Average Loss  0.769459, Time  0.253012
2021-09-23 00:57:04.495542 : Epoch  8, Batch    384, Loss  0.771557, Average Loss  0.770872, Time  0.253584
2021-09-23 00:57:05.295687 : Epoch  8, Batch    512, Loss  0.780396, Average Loss  0.769533, Time  0.248389
2021-09-23 00:57:06.393324 : Epoch  8, Batch    385, Loss  0.765789, Average Loss  0.770882, Time  0.251406
2021-09-23 00:57:06.481776 : Epoch  4, Batch    591, Loss  0.875193, Average Loss  0.870730, Time  0.463235
2021-09-23 00:57:07.166736 : Epoch  8, Batch    513, Loss  0.764402, Average Loss  0.769421, Time  0.249391
2021-09-23 00:57:08.284795 : Epoch  8, Batch    386, Loss  0.772622, Average Loss  0.770898, Time  0.254048
2021-09-23 00:57:09.036023 : Epoch  8, Batch    514, Loss  0.774142, Average Loss  0.769501, Time  0.252032
2021-09-23 00:57:10.186276 : Epoch  8, Batch    387, Loss  0.764114, Average Loss  0.770899, Time  0.254233
2021-09-23 00:57:10.908230 : Epoch  8, Batch    515, Loss  0.777937, Average Loss  0.769593, Time  0.250790
2021-09-23 00:57:11.443790 : Epoch  4, Batch    592, Loss  0.865540, Average Loss  0.870673, Time  0.413637
2021-09-23 00:57:12.087817 : Epoch  8, Batch    388, Loss  0.776209, Average Loss  0.770943, Time  0.251510
2021-09-23 00:57:12.779893 : Epoch  8, Batch    516, Loss  0.766300, Average Loss  0.769475, Time  0.250581
2021-09-23 00:57:14.007867 : Epoch  8, Batch    389, Loss  0.767166, Average Loss  0.770895, Time  0.261064
2021-09-23 00:57:14.691013 : Epoch  8, Batch    517, Loss  0.772718, Average Loss  0.769453, Time  0.248740
2021-09-23 00:57:15.919756 : Epoch  8, Batch    390, Loss  0.777089, Average Loss  0.770906, Time  0.252189
2021-09-23 00:57:16.433880 : Epoch  4, Batch    593, Loss  0.885472, Average Loss  0.870835, Time  0.413397
2021-09-23 00:57:16.582793 : Epoch  8, Batch    518, Loss  0.770080, Average Loss  0.769422, Time  0.250543
2021-09-23 00:57:17.832702 : Epoch  8, Batch    391, Loss  0.778172, Average Loss  0.770860, Time  0.251962
2021-09-23 00:57:18.454969 : Epoch  8, Batch    519, Loss  0.773702, Average Loss  0.769464, Time  0.253506
2021-09-23 00:57:20.335786 : Epoch  8, Batch    520, Loss  0.763815, Average Loss  0.769453, Time  0.252506
2021-09-23 00:57:21.403467 : Epoch  4, Batch    594, Loss  0.879601, Average Loss  0.870895, Time  0.413510
2021-09-23 00:57:22.221963 : Epoch  8, Batch    521, Loss  0.763629, Average Loss  0.769408, Time  0.251823
2021-09-23 00:57:24.114729 : Epoch  8, Batch    522, Loss  0.763854, Average Loss  0.769443, Time  0.251456
2021-09-23 00:57:25.997840 : Epoch  8, Batch    523, Loss  0.760571, Average Loss  0.769439, Time  0.250860
2021-09-23 00:57:26.358759 : Epoch  4, Batch    595, Loss  0.873031, Average Loss  0.870919, Time  0.413052
2021-09-23 00:57:27.889932 : Epoch  8, Batch    524, Loss  0.768970, Average Loss  0.769493, Time  0.251299
2021-09-23 00:57:29.838990 : Epoch  8, Batch    525, Loss  0.770487, Average Loss  0.769439, Time  0.329799
2021-09-23 00:57:31.324793 : Epoch  4, Batch    596, Loss  0.880080, Average Loss  0.870914, Time  0.413126
2021-09-23 00:57:31.714265 : Epoch  8, Batch    526, Loss  0.778566, Average Loss  0.769459, Time  0.251502
2021-09-23 00:57:33.588228 : Epoch  8, Batch    527, Loss  0.787345, Average Loss  0.769524, Time  0.252289
2021-09-23 00:57:35.454701 : Epoch  8, Batch    528, Loss  0.757426, Average Loss  0.769472, Time  0.249429
2021-09-23 00:57:36.315744 : Epoch  4, Batch    597, Loss  0.865847, Average Loss  0.870873, Time  0.413433
2021-09-23 00:57:37.337496 : Epoch  8, Batch    529, Loss  0.763931, Average Loss  0.769443, Time  0.250112
2021-09-23 00:57:39.207238 : Epoch  8, Batch    530, Loss  0.769832, Average Loss  0.769468, Time  0.250964
2021-09-23 00:57:41.095314 : Epoch  8, Batch    531, Loss  0.778017, Average Loss  0.769516, Time  0.248722
2021-09-23 00:57:41.313997 : Epoch  4, Batch    598, Loss  0.875743, Average Loss  0.870986, Time  0.413224
2021-09-23 00:57:43.032531 : Epoch  8, Batch    532, Loss  0.777216, Average Loss  0.769534, Time  0.325915
2021-09-23 00:57:44.886202 : Epoch  8, Batch    533, Loss  0.785823, Average Loss  0.769587, Time  0.248575
2021-09-23 00:57:46.275741 : Epoch  4, Batch    599, Loss  0.867406, Average Loss  0.870889, Time  0.413259
2021-09-23 00:57:46.762689 : Epoch  8, Batch    534, Loss  0.771917, Average Loss  0.769610, Time  0.254764
2021-09-23 00:57:48.652478 : Epoch  8, Batch    535, Loss  0.767339, Average Loss  0.769561, Time  0.255033
2021-09-23 00:57:50.525028 : Epoch  8, Batch    536, Loss  0.773210, Average Loss  0.769593, Time  0.248971
2021-09-23 00:57:51.289022 : Epoch  4, Batch    600, Loss  0.857572, Average Loss  0.870867, Time  0.464872
2021-09-23 00:57:52.397794 : Epoch  8, Batch    537, Loss  0.764290, Average Loss  0.769552, Time  0.250962
2021-09-23 00:57:54.297464 : Epoch  8, Batch    538, Loss  0.770629, Average Loss  0.769621, Time  0.273717
2021-09-23 00:57:56.170404 : Epoch  8, Batch    539, Loss  0.766105, Average Loss  0.769567, Time  0.251565
2021-09-23 00:57:56.273916 : Epoch  4, Batch    601, Loss  0.879197, Average Loss  0.870881, Time  0.422429
2021-09-23 00:57:58.112905 : Epoch  8, Batch    540, Loss  0.765376, Average Loss  0.769577, Time  0.324131
2021-09-23 00:57:59.991907 : Epoch  8, Batch    541, Loss  0.768287, Average Loss  0.769585, Time  0.249089
2021-09-23 00:58:01.246823 : Epoch  4, Batch    602, Loss  0.862392, Average Loss  0.870907, Time  0.414528
2021-09-23 00:58:01.859822 : Epoch  8, Batch    542, Loss  0.776093, Average Loss  0.769597, Time  0.253386
2021-09-23 00:58:03.736139 : Epoch  8, Batch    543, Loss  0.763637, Average Loss  0.769632, Time  0.249704
2021-09-23 00:58:05.625958 : Epoch  8, Batch    544, Loss  0.778372, Average Loss  0.769671, Time  0.248795
2021-09-23 00:58:06.225824 : Epoch  4, Batch    603, Loss  0.856184, Average Loss  0.870827, Time  0.413659
2021-09-23 00:58:07.491330 : Epoch  8, Batch    545, Loss  0.780804, Average Loss  0.769705, Time  0.253341
2021-09-23 00:58:09.376263 : Epoch  8, Batch    546, Loss  0.768177, Average Loss  0.769671, Time  0.251127
2021-09-23 00:58:11.187068 : Epoch  4, Batch    604, Loss  0.871212, Average Loss  0.870903, Time  0.413736
2021-09-23 00:58:11.329349 : Epoch  8, Batch    547, Loss  0.769476, Average Loss  0.769656, Time  0.324825
2021-09-23 00:58:13.208538 : Epoch  8, Batch    548, Loss  0.782164, Average Loss  0.769657, Time  0.251354
2021-09-23 00:58:15.101081 : Epoch  8, Batch    549, Loss  0.762620, Average Loss  0.769591, Time  0.251335
2021-09-23 00:58:16.171116 : Epoch  4, Batch    605, Loss  0.870930, Average Loss  0.870876, Time  0.414204
2021-09-23 00:58:16.971915 : Epoch  8, Batch    550, Loss  0.770240, Average Loss  0.769570, Time  0.247907
2021-09-23 00:58:18.844977 : Epoch  8, Batch    551, Loss  0.773720, Average Loss  0.769608, Time  0.253684
2021-09-23 00:58:20.709697 : Epoch  8, Batch    552, Loss  0.779608, Average Loss  0.769656, Time  0.249085
2021-09-23 00:58:21.165016 : Epoch  4, Batch    606, Loss  0.878850, Average Loss  0.870921, Time  0.413353
2021-09-23 00:58:22.576646 : Epoch  8, Batch    553, Loss  0.761095, Average Loss  0.769581, Time  0.253584
2021-09-23 00:58:24.442837 : Epoch  8, Batch    554, Loss  0.765049, Average Loss  0.769610, Time  0.249288
2021-09-23 00:58:26.117738 : Epoch  4, Batch    607, Loss  0.869525, Average Loss  0.870935, Time  0.413688
2021-09-23 00:58:26.385129 : Epoch  8, Batch    555, Loss  0.770455, Average Loss  0.769594, Time  0.324728
2021-09-23 00:58:28.267862 : Epoch  8, Batch    556, Loss  0.779467, Average Loss  0.769642, Time  0.256043
2021-09-23 00:58:28.470857 : CheckPoint: Validation Loss  0.00031280, Best Loss  0.00030514
2021-09-23 00:58:30.146728 : Epoch  8, Batch    557, Loss  0.777528, Average Loss  0.769631, Time  0.251519
2021-09-23 00:58:30.378095 : Epoch  8, Batch    392, Loss  0.770757, Average Loss  0.770829, Time  0.261369
2021-09-23 00:58:31.089764 : Epoch  4, Batch    608, Loss  0.872903, Average Loss  0.870962, Time  0.413278
2021-09-23 00:58:32.022334 : Epoch  8, Batch    558, Loss  0.775197, Average Loss  0.769622, Time  0.255647
2021-09-23 00:58:32.267953 : Epoch  8, Batch    393, Loss  0.779308, Average Loss  0.770848, Time  0.263129
2021-09-23 00:58:33.909872 : Epoch  8, Batch    559, Loss  0.770787, Average Loss  0.769612, Time  0.250464
2021-09-23 00:58:34.166864 : Epoch  8, Batch    394, Loss  0.762306, Average Loss  0.770837, Time  0.252478
2021-09-23 00:58:35.788042 : Epoch  8, Batch    560, Loss  0.766862, Average Loss  0.769642, Time  0.254699
2021-09-23 00:58:36.059401 : Epoch  8, Batch    395, Loss  0.765339, Average Loss  0.770777, Time  0.256471
2021-09-23 00:58:36.094107 : Epoch  4, Batch    609, Loss  0.877450, Average Loss  0.870959, Time  0.448543
2021-09-23 00:58:37.678977 : Epoch  8, Batch    561, Loss  0.776760, Average Loss  0.769662, Time  0.259125
2021-09-23 00:58:37.945103 : Epoch  8, Batch    396, Loss  0.768675, Average Loss  0.770774, Time  0.259809
2021-09-23 00:58:39.853126 : Epoch  8, Batch    397, Loss  0.763646, Average Loss  0.770785, Time  0.252326
2021-09-23 00:58:41.064962 : Epoch  4, Batch    610, Loss  0.873534, Average Loss  0.870999, Time  0.413064
2021-09-23 00:58:41.389921 : Epoch  8, Batch    562, Loss  0.769773, Average Loss  0.769643, Time  0.251148
2021-09-23 00:58:41.751180 : Epoch  8, Batch    398, Loss  0.769292, Average Loss  0.770775, Time  0.253427
2021-09-23 00:58:43.279467 : Epoch  8, Batch    563, Loss  0.772634, Average Loss  0.769653, Time  0.249767
2021-09-23 00:58:43.632767 : Epoch  8, Batch    399, Loss  0.780809, Average Loss  0.770875, Time  0.256967
2021-09-23 00:58:45.149958 : Epoch  8, Batch    564, Loss  0.761324, Average Loss  0.769596, Time  0.248763
2021-09-23 00:58:45.559435 : Epoch  8, Batch    400, Loss  0.763824, Average Loss  0.770817, Time  0.260935
2021-09-23 00:58:46.032061 : Epoch  4, Batch    611, Loss  0.871677, Average Loss  0.871054, Time  0.412930
2021-09-23 00:58:47.044882 : Epoch  8, Batch    565, Loss  0.775091, Average Loss  0.769627, Time  0.248307
2021-09-23 00:58:47.455226 : Epoch  8, Batch    401, Loss  0.759743, Average Loss  0.770831, Time  0.251395
2021-09-23 00:58:48.920072 : Epoch  8, Batch    566, Loss  0.775572, Average Loss  0.769681, Time  0.251332
2021-09-23 00:58:49.335117 : Epoch  8, Batch    402, Loss  0.782244, Average Loss  0.770873, Time  0.253941
2021-09-23 00:58:50.812509 : Epoch  8, Batch    567, Loss  0.773628, Average Loss  0.769703, Time  0.249659
2021-09-23 00:58:50.981768 : Epoch  4, Batch    612, Loss  0.873108, Average Loss  0.871117, Time  0.413154
2021-09-23 00:58:51.249732 : Epoch  8, Batch    403, Loss  0.761347, Average Loss  0.770809, Time  0.263059
2021-09-23 00:58:52.693501 : Epoch  8, Batch    568, Loss  0.776835, Average Loss  0.769731, Time  0.252251
2021-09-23 00:58:53.152443 : Epoch  8, Batch    404, Loss  0.763603, Average Loss  0.770816, Time  0.258155
2021-09-23 00:58:54.586712 : Epoch  8, Batch    569, Loss  0.777729, Average Loss  0.769775, Time  0.256659
2021-09-23 00:58:55.052316 : Epoch  8, Batch    405, Loss  0.765919, Average Loss  0.770850, Time  0.252169
2021-09-23 00:58:55.949998 : Epoch  4, Batch    613, Loss  0.871640, Average Loss  0.871105, Time  0.413677
2021-09-23 00:58:56.493068 : Epoch  8, Batch    570, Loss  0.764014, Average Loss  0.769788, Time  0.255982
2021-09-23 00:58:56.941023 : Epoch  8, Batch    406, Loss  0.766730, Average Loss  0.770794, Time  0.254323
2021-09-23 00:58:58.372066 : Epoch  8, Batch    571, Loss  0.782508, Average Loss  0.769808, Time  0.251049
2021-09-23 00:58:58.836441 : Epoch  8, Batch    407, Loss  0.770069, Average Loss  0.770783, Time  0.258595
2021-09-23 00:59:00.245045 : Epoch  8, Batch    572, Loss  0.768390, Average Loss  0.769823, Time  0.250412
2021-09-23 00:59:00.723747 : Epoch  8, Batch    408, Loss  0.759964, Average Loss  0.770768, Time  0.251520
2021-09-23 00:59:00.950177 : Epoch  4, Batch    614, Loss  0.863081, Average Loss  0.871079, Time  0.413193
2021-09-23 00:59:02.120068 : Epoch  8, Batch    573, Loss  0.772009, Average Loss  0.769837, Time  0.249328
2021-09-23 00:59:02.637959 : Epoch  8, Batch    409, Loss  0.752809, Average Loss  0.770690, Time  0.254138
2021-09-23 00:59:04.014237 : Epoch  8, Batch    574, Loss  0.773486, Average Loss  0.769854, Time  0.248651
2021-09-23 00:59:04.551971 : Epoch  8, Batch    410, Loss  0.768569, Average Loss  0.770730, Time  0.254681
2021-09-23 00:59:05.900816 : Epoch  8, Batch    575, Loss  0.766377, Average Loss  0.769831, Time  0.250155
2021-09-23 00:59:05.928973 : Epoch  4, Batch    615, Loss  0.871474, Average Loss  0.871059, Time  0.414822
2021-09-23 00:59:06.454741 : Epoch  8, Batch    411, Loss  0.774683, Average Loss  0.770750, Time  0.252831
2021-09-23 00:59:07.778946 : Epoch  8, Batch    576, Loss  0.764432, Average Loss  0.769804, Time  0.250403
2021-09-23 00:59:08.361139 : Epoch  8, Batch    412, Loss  0.774168, Average Loss  0.770747, Time  0.254751
2021-09-23 00:59:09.662792 : Epoch  8, Batch    577, Loss  0.761119, Average Loss  0.769730, Time  0.251435
2021-09-23 00:59:10.272290 : Epoch  8, Batch    413, Loss  0.762857, Average Loss  0.770731, Time  0.254226
2021-09-23 00:59:10.929858 : Epoch  4, Batch    616, Loss  0.869459, Average Loss  0.871105, Time  0.414222
2021-09-23 00:59:11.534612 : Epoch  8, Batch    578, Loss  0.775688, Average Loss  0.769737, Time  0.251504
2021-09-23 00:59:12.174271 : Epoch  8, Batch    414, Loss  0.767437, Average Loss  0.770682, Time  0.252131
2021-09-23 00:59:13.420256 : Epoch  8, Batch    579, Loss  0.763357, Average Loss  0.769626, Time  0.249624
2021-09-23 00:59:14.079307 : Epoch  8, Batch    415, Loss  0.765035, Average Loss  0.770703, Time  0.254510
2021-09-23 00:59:15.308612 : Epoch  8, Batch    580, Loss  0.756701, Average Loss  0.769562, Time  0.251548
2021-09-23 00:59:15.984789 : Epoch  8, Batch    416, Loss  0.776537, Average Loss  0.770711, Time  0.251520
2021-09-23 00:59:17.185308 : Epoch  8, Batch    581, Loss  0.768552, Average Loss  0.769533, Time  0.248435
2021-09-23 00:59:17.876298 : Epoch  8, Batch    417, Loss  0.778764, Average Loss  0.770766, Time  0.251669
2021-09-23 00:59:19.071357 : Epoch  8, Batch    582, Loss  0.767843, Average Loss  0.769527, Time  0.249012
2021-09-23 00:59:19.798563 : Epoch  8, Batch    418, Loss  0.780877, Average Loss  0.770872, Time  0.253140
2021-09-23 00:59:20.973981 : Epoch  8, Batch    583, Loss  0.764740, Average Loss  0.769459, Time  0.252692
2021-09-23 00:59:21.694777 : Epoch  8, Batch    419, Loss  0.770451, Average Loss  0.770851, Time  0.251892
2021-09-23 00:59:22.859896 : Epoch  8, Batch    584, Loss  0.771859, Average Loss  0.769822, Time  0.257513
2021-09-23 00:59:23.598353 : Epoch  8, Batch    420, Loss  0.765060, Average Loss  0.770816, Time  0.256541
2021-09-23 00:59:24.753859 : Epoch  8, Batch    585, Loss  0.778705, Average Loss  0.769858, Time  0.252662
2021-09-23 00:59:25.498308 : Epoch  8, Batch    421, Loss  0.779111, Average Loss  0.770798, Time  0.251768
2021-09-23 00:59:26.628799 : Epoch  8, Batch    586, Loss  0.762495, Average Loss  0.769768, Time  0.249125
2021-09-23 00:59:27.399451 : Epoch  8, Batch    422, Loss  0.780877, Average Loss  0.770890, Time  0.253353
2021-09-23 00:59:28.515147 : Epoch  8, Batch    587, Loss  0.774204, Average Loss  0.769766, Time  0.266492
2021-09-23 00:59:29.284259 : Epoch  8, Batch    423, Loss  0.778158, Average Loss  0.770969, Time  0.251638
2021-09-23 00:59:30.418188 : Epoch  8, Batch    588, Loss  0.763974, Average Loss  0.769705, Time  0.263536
2021-09-23 00:59:31.209824 : Epoch  8, Batch    424, Loss  0.780873, Average Loss  0.770953, Time  0.252805
2021-09-23 00:59:32.294538 : Epoch  8, Batch    589, Loss  0.769113, Average Loss  0.769700, Time  0.248666
2021-09-23 00:59:33.114441 : Epoch  8, Batch    425, Loss  0.761230, Average Loss  0.770909, Time  0.258351
2021-09-23 00:59:34.158247 : Epoch  8, Batch    590, Loss  0.764442, Average Loss  0.769714, Time  0.248353
2021-09-23 00:59:35.047568 : Epoch  8, Batch    426, Loss  0.773921, Average Loss  0.770961, Time  0.251759
2021-09-23 00:59:36.032875 : Epoch  8, Batch    591, Loss  0.775862, Average Loss  0.769675, Time  0.253570
2021-09-23 00:59:36.959474 : Epoch  8, Batch    427, Loss  0.778154, Average Loss  0.771008, Time  0.254100
2021-09-23 00:59:38.873177 : Epoch  8, Batch    428, Loss  0.769916, Average Loss  0.771031, Time  0.252385
2021-09-23 00:59:40.774854 : Epoch  8, Batch    429, Loss  0.770447, Average Loss  0.771011, Time  0.262209
2021-09-23 00:59:42.673280 : Epoch  8, Batch    430, Loss  0.778814, Average Loss  0.771038, Time  0.255944
2021-09-23 00:59:44.647403 : Epoch  8, Batch    431, Loss  0.764251, Average Loss  0.771050, Time  0.334553
2021-09-23 00:59:46.541004 : Epoch  8, Batch    432, Loss  0.758284, Average Loss  0.770990, Time  0.253932
2021-09-23 00:59:48.419242 : Epoch  8, Batch    433, Loss  0.776740, Average Loss  0.771014, Time  0.251556
2021-09-23 00:59:50.320342 : Epoch  8, Batch    434, Loss  0.774633, Average Loss  0.771081, Time  0.254824
2021-09-23 00:59:52.208311 : Epoch  8, Batch    435, Loss  0.764587, Average Loss  0.771004, Time  0.252427
2021-09-23 00:59:54.116314 : Epoch  8, Batch    436, Loss  0.763303, Average Loss  0.770920, Time  0.252378
2021-09-23 00:59:56.097418 : Epoch  8, Batch    437, Loss  0.766314, Average Loss  0.770855, Time  0.335792
2021-09-23 00:59:57.997193 : Epoch  8, Batch    438, Loss  0.772235, Average Loss  0.770832, Time  0.250984
2021-09-23 00:59:59.917828 : Epoch  8, Batch    439, Loss  0.772478, Average Loss  0.770857, Time  0.254469
2021-09-23 01:00:01.829267 : Epoch  8, Batch    440, Loss  0.767451, Average Loss  0.770853, Time  0.260030
2021-09-23 01:00:03.725606 : Epoch  8, Batch    441, Loss  0.774735, Average Loss  0.770916, Time  0.260118
2021-09-23 01:00:05.613952 : Epoch  8, Batch    442, Loss  0.768318, Average Loss  0.770890, Time  0.252958
2021-09-23 01:00:07.522206 : Epoch  8, Batch    443, Loss  0.750524, Average Loss  0.770840, Time  0.266405
2021-09-23 01:00:09.464280 : Epoch  8, Batch    444, Loss  0.775504, Average Loss  0.770826, Time  0.291164
2021-09-23 01:00:11.398824 : Epoch  8, Batch    445, Loss  0.772171, Average Loss  0.770790, Time  0.259506
2021-09-23 01:00:13.298867 : Epoch  8, Batch    446, Loss  0.763676, Average Loss  0.770796, Time  0.256056
2021-09-23 01:00:15.219327 : Epoch  8, Batch    447, Loss  0.762847, Average Loss  0.770729, Time  0.265188
2021-09-23 01:00:17.116160 : Epoch  8, Batch    448, Loss  0.779565, Average Loss  0.770780, Time  0.255313
2021-09-23 01:00:19.018328 : Epoch  8, Batch    449, Loss  0.773871, Average Loss  0.770740, Time  0.253563
2021-09-23 01:00:20.986946 : Epoch  8, Batch    450, Loss  0.756847, Average Loss  0.770601, Time  0.326025
2021-09-23 01:00:22.889919 : Epoch  8, Batch    451, Loss  0.779249, Average Loss  0.770632, Time  0.254152
2021-09-23 01:00:24.781946 : Epoch  8, Batch    452, Loss  0.757601, Average Loss  0.770614, Time  0.252062
2021-09-23 01:00:26.690071 : Epoch  8, Batch    453, Loss  0.780603, Average Loss  0.770628, Time  0.260102
2021-09-23 01:00:28.601461 : Epoch  8, Batch    454, Loss  0.757793, Average Loss  0.770552, Time  0.255510
2021-09-23 01:00:30.538251 : Epoch  8, Batch    455, Loss  0.764544, Average Loss  0.770609, Time  0.252685
2021-09-23 01:00:32.524100 : Epoch  8, Batch    456, Loss  0.779127, Average Loss  0.770667, Time  0.328071
2021-09-23 01:00:34.434392 : Epoch  8, Batch    457, Loss  0.763112, Average Loss  0.770658, Time  0.258775
2021-09-23 01:00:36.357768 : Epoch  8, Batch    458, Loss  0.771154, Average Loss  0.770671, Time  0.257053
2021-09-23 01:00:38.250975 : Epoch  8, Batch    459, Loss  0.781724, Average Loss  0.770691, Time  0.254530
2021-09-23 01:00:40.162559 : Epoch  8, Batch    460, Loss  0.780847, Average Loss  0.770809, Time  0.259528
2021-09-23 01:00:42.076805 : Epoch  8, Batch    461, Loss  0.763322, Average Loss  0.770756, Time  0.251839
2021-09-23 01:00:45.781129 : Epoch  8, Batch    462, Loss  0.769703, Average Loss  0.770710, Time  0.261816
2021-09-23 01:00:46.092736 : CheckPoint: Validation Loss  0.00031368, Best Loss  0.00030606
2021-09-23 01:00:47.688656 : Epoch  8, Batch    463, Loss  0.767982, Average Loss  0.770656, Time  0.256924
2021-09-23 01:00:47.978045 : Epoch  8, Batch    592, Loss  0.768845, Average Loss  0.769660, Time  0.250469
2021-09-23 01:00:49.603959 : Epoch  8, Batch    464, Loss  0.789948, Average Loss  0.770707, Time  0.254586
2021-09-23 01:00:49.847846 : Epoch  8, Batch    593, Loss  0.765626, Average Loss  0.769599, Time  0.250145
2021-09-23 01:00:51.503436 : Epoch  8, Batch    465, Loss  0.773757, Average Loss  0.770745, Time  0.252949
2021-09-23 01:00:51.736217 : Epoch  8, Batch    594, Loss  0.770195, Average Loss  0.769613, Time  0.273168
2021-09-23 01:00:53.486123 : Epoch  8, Batch    466, Loss  0.769411, Average Loss  0.770726, Time  0.326803
2021-09-23 01:00:53.646143 : Epoch  8, Batch    595, Loss  0.765887, Average Loss  0.769595, Time  0.292194
2021-09-23 01:00:55.544950 : Epoch  8, Batch    467, Loss  0.766664, Average Loss  0.770692, Time  0.420936
2021-09-23 01:00:55.635812 : Epoch  8, Batch    596, Loss  0.775427, Average Loss  0.769573, Time  0.378302
2021-09-23 01:00:57.710176 : Epoch  8, Batch    468, Loss  0.776696, Average Loss  0.770740, Time  0.499566
2021-09-23 01:00:57.746016 : Epoch  8, Batch    597, Loss  0.770062, Average Loss  0.769540, Time  0.459289
2021-09-23 01:00:59.852290 : Epoch  8, Batch    598, Loss  0.769223, Average Loss  0.769559, Time  0.495623
2021-09-23 01:00:59.900310 : Epoch  8, Batch    469, Loss  0.774465, Average Loss  0.770736, Time  0.470126
2021-09-23 01:01:01.957593 : Epoch  8, Batch    599, Loss  0.778464, Average Loss  0.769577, Time  0.474364
2021-09-23 01:01:01.996797 : Epoch  8, Batch    470, Loss  0.765079, Average Loss  0.770744, Time  0.434856
2021-09-23 01:01:04.103223 : Epoch  8, Batch    600, Loss  0.776716, Average Loss  0.769586, Time  0.503403
2021-09-23 01:01:04.139851 : Epoch  8, Batch    471, Loss  0.776712, Average Loss  0.770756, Time  0.490033
2021-09-23 01:01:06.219617 : Epoch  8, Batch    601, Loss  0.775207, Average Loss  0.769617, Time  0.490943
2021-09-23 01:01:06.257220 : Epoch  8, Batch    472, Loss  0.777689, Average Loss  0.770824, Time  0.459916
2021-09-23 01:01:08.343983 : Epoch  8, Batch    602, Loss  0.767031, Average Loss  0.769644, Time  0.496540
2021-09-23 01:01:08.379053 : Epoch  8, Batch    473, Loss  0.775464, Average Loss  0.770873, Time  0.477586
2021-09-23 01:01:10.488394 : Epoch  8, Batch    603, Loss  0.775451, Average Loss  0.769668, Time  0.500320
2021-09-23 01:01:10.527378 : Epoch  8, Batch    474, Loss  0.769136, Average Loss  0.770847, Time  0.474961
2021-09-23 01:01:12.611133 : Epoch  8, Batch    604, Loss  0.769663, Average Loss  0.769644, Time  0.493293
2021-09-23 01:01:12.649236 : Epoch  8, Batch    475, Loss  0.767737, Average Loss  0.770829, Time  0.467767
2021-09-23 01:01:14.706812 : Epoch  8, Batch    605, Loss  0.766130, Average Loss  0.769619, Time  0.475895
2021-09-23 01:01:14.759904 : Epoch  8, Batch    476, Loss  0.763333, Average Loss  0.770834, Time  0.444309
2021-09-23 01:01:16.813086 : Epoch  8, Batch    606, Loss  0.776794, Average Loss  0.769698, Time  0.473929
2021-09-23 01:01:16.863268 : Epoch  8, Batch    477, Loss  0.766456, Average Loss  0.770818, Time  0.447029
2021-09-23 01:01:18.923212 : Epoch  8, Batch    607, Loss  0.758968, Average Loss  0.769628, Time  0.479926
2021-09-23 01:01:18.971530 : Epoch  8, Batch    478, Loss  0.772785, Average Loss  0.770807, Time  0.449312
2021-09-23 01:01:21.013578 : Epoch  8, Batch    608, Loss  0.766815, Average Loss  0.769649, Time  0.469269
2021-09-23 01:01:21.059254 : Epoch  8, Batch    479, Loss  0.771586, Average Loss  0.770813, Time  0.438299
2021-09-23 01:01:23.103860 : Epoch  8, Batch    609, Loss  0.785813, Average Loss  0.769669, Time  0.473854
2021-09-23 01:01:23.148989 : Epoch  8, Batch    480, Loss  0.772090, Average Loss  0.770756, Time  0.442835
2021-09-23 01:01:25.214880 : Epoch  8, Batch    610, Loss  0.772149, Average Loss  0.769651, Time  0.490934
2021-09-23 01:01:25.249510 : Epoch  8, Batch    481, Loss  0.775768, Average Loss  0.770771, Time  0.460819
2021-09-23 01:01:27.347931 : Epoch  8, Batch    611, Loss  0.768440, Average Loss  0.769610, Time  0.498482
2021-09-23 01:01:27.386982 : Epoch  8, Batch    482, Loss  0.765274, Average Loss  0.770743, Time  0.466428
2021-09-23 01:01:29.473283 : Epoch  8, Batch    612, Loss  0.772985, Average Loss  0.769623, Time  0.494532
2021-09-23 01:01:29.535338 : Epoch  8, Batch    483, Loss  0.770241, Average Loss  0.770702, Time  0.490348
2021-09-23 01:01:31.564033 : Epoch  8, Batch    613, Loss  0.768713, Average Loss  0.769659, Time  0.454756
2021-09-23 01:01:31.626301 : Epoch  8, Batch    484, Loss  0.767104, Average Loss  0.770650, Time  0.424798
2021-09-23 01:01:33.648535 : Epoch  8, Batch    614, Loss  0.767492, Average Loss  0.769647, Time  0.459404
2021-09-23 01:01:33.705329 : Epoch  8, Batch    485, Loss  0.764337, Average Loss  0.770594, Time  0.428351
2021-09-23 01:01:35.772416 : Epoch  8, Batch    615, Loss  0.770134, Average Loss  0.769616, Time  0.494585
2021-09-23 01:01:35.807282 : Epoch  8, Batch    486, Loss  0.759228, Average Loss  0.770608, Time  0.455365
2021-09-23 01:01:37.876644 : Epoch  8, Batch    616, Loss  0.788005, Average Loss  0.769655, Time  0.468810
2021-09-23 01:01:37.929166 : Epoch  8, Batch    487, Loss  0.764017, Average Loss  0.770622, Time  0.438968
2021-09-23 01:01:39.994247 : Epoch  8, Batch    617, Loss  0.766460, Average Loss  0.769627, Time  0.485843
2021-09-23 01:01:40.033454 : Epoch  8, Batch    488, Loss  0.757735, Average Loss  0.770541, Time  0.456217
2021-09-23 01:01:42.095787 : Epoch  8, Batch    618, Loss  0.762627, Average Loss  0.769616, Time  0.479461
2021-09-23 01:01:42.134809 : Epoch  8, Batch    489, Loss  0.762332, Average Loss  0.770526, Time  0.453808
2021-09-23 01:01:44.191256 : Epoch  8, Batch    619, Loss  0.772695, Average Loss  0.769698, Time  0.473835
2021-09-23 01:01:44.241151 : Epoch  8, Batch    490, Loss  0.775634, Average Loss  0.770563, Time  0.450767
2021-09-23 01:01:46.066965 : Epoch  8, Batch    620, Loss  0.786305, Average Loss  0.769808, Time  0.249460
2021-09-23 01:01:48.094232 : Epoch  8, Batch    491, Loss  0.773186, Average Loss  0.770591, Time  0.466800
2021-09-23 01:01:48.152407 : Epoch  8, Batch    621, Loss  0.776504, Average Loss  0.769849, Time  0.434978
2021-09-23 01:01:50.040594 : Epoch  8, Batch    622, Loss  0.764599, Average Loss  0.769818, Time  0.251723
2021-09-23 01:01:51.927250 : Epoch  8, Batch    623, Loss  0.765487, Average Loss  0.769769, Time  0.250643
2021-09-23 01:01:53.810995 : Epoch  8, Batch    624, Loss  0.771255, Average Loss  0.769825, Time  0.251717
2021-09-23 01:01:55.686147 : Epoch  8, Batch    625, Loss  0.765753, Average Loss  0.769838, Time  0.248948
2021-09-23 01:01:57.560089 : Epoch  8, Batch    626, Loss  0.774307, Average Loss  0.769881, Time  0.248241
2021-09-23 01:01:59.439316 : Epoch  8, Batch    627, Loss  0.773062, Average Loss  0.769830, Time  0.250043
2021-09-23 01:02:01.334680 : Epoch  8, Batch    628, Loss  0.769083, Average Loss  0.769823, Time  0.249536
2021-09-23 01:02:03.299851 : Epoch  8, Batch    629, Loss  0.762828, Average Loss  0.769806, Time  0.330181
2021-09-23 01:02:05.169730 : Epoch  8, Batch    630, Loss  0.764437, Average Loss  0.769741, Time  0.252076
2021-09-23 01:02:07.034317 : Epoch  8, Batch    631, Loss  0.765925, Average Loss  0.769742, Time  0.253352
2021-09-23 01:02:08.903935 : Epoch  8, Batch    632, Loss  0.770557, Average Loss  0.769803, Time  0.256657
2021-09-23 01:02:10.779799 : Epoch  8, Batch    633, Loss  0.763540, Average Loss  0.769743, Time  0.247823
2021-09-23 01:02:12.649607 : Epoch  8, Batch    634, Loss  0.770755, Average Loss  0.769793, Time  0.250013
2021-09-23 01:02:14.530656 : Epoch  8, Batch    635, Loss  0.770379, Average Loss  0.769801, Time  0.250172
2021-09-23 01:02:16.399961 : Epoch  8, Batch    636, Loss  0.782492, Average Loss  0.769896, Time  0.250002
2021-09-23 01:02:18.274618 : Epoch  8, Batch    637, Loss  0.769639, Average Loss  0.769889, Time  0.249387
2021-09-23 01:02:20.222879 : Epoch  8, Batch    638, Loss  0.760235, Average Loss  0.769867, Time  0.324557
2021-09-23 01:02:22.114244 : Epoch  8, Batch    639, Loss  0.771768, Average Loss  0.769839, Time  0.262793
2021-09-23 01:02:24.002770 : Epoch  8, Batch    640, Loss  0.776335, Average Loss  0.769903, Time  0.254946
2021-09-23 01:02:25.893319 : Epoch  8, Batch    641, Loss  0.770311, Average Loss  0.769925, Time  0.256876
2021-09-23 01:02:27.770422 : Epoch  8, Batch    642, Loss  0.763136, Average Loss  0.769880, Time  0.249431
2021-09-23 01:02:29.652168 : Epoch  8, Batch    643, Loss  0.771744, Average Loss  0.769956, Time  0.254290
2021-09-23 01:02:31.533932 : Epoch  8, Batch    644, Loss  0.764274, Average Loss  0.769868, Time  0.248687
2021-09-23 01:02:33.480735 : Epoch  8, Batch    645, Loss  0.777041, Average Loss  0.769878, Time  0.325109
2021-09-23 01:02:35.353827 : Epoch  8, Batch    646, Loss  0.773811, Average Loss  0.769879, Time  0.249906
2021-09-23 01:02:37.232652 : Epoch  8, Batch    647, Loss  0.762696, Average Loss  0.769881, Time  0.248476
2021-09-23 01:02:39.107186 : Epoch  8, Batch    648, Loss  0.761414, Average Loss  0.769877, Time  0.248105
2021-09-23 01:02:40.993470 : Epoch  8, Batch    649, Loss  0.774903, Average Loss  0.769921, Time  0.250606
2021-09-23 01:02:42.879802 : Epoch  8, Batch    650, Loss  0.765473, Average Loss  0.769947, Time  0.248230
2021-09-23 01:02:44.760488 : Epoch  8, Batch    651, Loss  0.776178, Average Loss  0.770010, Time  0.250461
2021-09-23 01:02:46.635025 : Epoch  8, Batch    652, Loss  0.771280, Average Loss  0.770017, Time  0.249616
2021-09-23 01:02:48.596116 : Epoch  8, Batch    653, Loss  0.771939, Average Loss  0.770056, Time  0.334037
2021-09-23 01:02:50.507865 : Epoch  8, Batch    654, Loss  0.774352, Average Loss  0.770162, Time  0.249119
2021-09-23 01:02:52.379357 : Epoch  8, Batch    655, Loss  0.764204, Average Loss  0.770109, Time  0.248379
2021-09-23 01:02:54.263332 : Epoch  8, Batch    656, Loss  0.760438, Average Loss  0.770024, Time  0.248781
2021-09-23 01:02:56.144864 : Epoch  8, Batch    657, Loss  0.758827, Average Loss  0.770019, Time  0.247687
2021-09-23 01:02:58.020570 : Epoch  8, Batch    658, Loss  0.773061, Average Loss  0.770047, Time  0.253087
2021-09-23 01:02:58.954329 : CheckPoint: Validation Loss  0.00032337, Best Loss  0.00030514
2021-09-23 01:02:59.919751 : Epoch  8, Batch    659, Loss  0.766359, Average Loss  0.770016, Time  0.263870
2021-09-23 01:03:00.874579 : Epoch  8, Batch    492, Loss  0.758537, Average Loss  0.770505, Time  0.252943
2021-09-23 01:03:01.780113 : Epoch  8, Batch    660, Loss  0.769837, Average Loss  0.770016, Time  0.251437
2021-09-23 01:03:02.764606 : Epoch  8, Batch    493, Loss  0.768004, Average Loss  0.770516, Time  0.260122
2021-09-23 01:03:03.679298 : Epoch  8, Batch    661, Loss  0.777093, Average Loss  0.770006, Time  0.259804
2021-09-23 01:03:04.739719 : Epoch  8, Batch    494, Loss  0.771699, Average Loss  0.770513, Time  0.260989
2021-09-23 01:03:06.655124 : Epoch  8, Batch    495, Loss  0.777335, Average Loss  0.770557, Time  0.266131
2021-09-23 01:03:07.370043 : Epoch  8, Batch    662, Loss  0.766669, Average Loss  0.769971, Time  0.257749
2021-09-23 01:03:07.752721 : CheckPoint: Validation Loss  0.00014863, Best Loss  0.00014643
2021-09-23 01:03:08.571660 : Epoch  8, Batch    496, Loss  0.776696, Average Loss  0.770557, Time  0.265435
2021-09-23 01:03:09.246836 : Epoch  8, Batch    663, Loss  0.773059, Average Loss  0.769997, Time  0.256233
2021-09-23 01:03:10.471731 : Epoch  8, Batch    497, Loss  0.775677, Average Loss  0.770585, Time  0.255543
2021-09-23 01:03:11.123491 : Epoch  8, Batch    664, Loss  0.768180, Average Loss  0.769980, Time  0.253270
2021-09-23 01:03:12.374153 : Epoch  8, Batch    498, Loss  0.770370, Average Loss  0.770576, Time  0.253464
2021-09-23 01:03:12.730469 : Epoch  4, Batch    617, Loss  0.873249, Average Loss  0.871143, Time  0.443876
2021-09-23 01:03:12.990992 : Epoch  8, Batch    665, Loss  0.762127, Average Loss  0.769953, Time  0.247746
2021-09-23 01:03:14.278723 : Epoch  8, Batch    499, Loss  0.760557, Average Loss  0.770529, Time  0.256778
2021-09-23 01:03:14.870491 : Epoch  8, Batch    666, Loss  0.770868, Average Loss  0.769939, Time  0.248978
2021-09-23 01:03:16.191966 : Epoch  8, Batch    500, Loss  0.768397, Average Loss  0.770509, Time  0.252385
2021-09-23 01:03:16.765922 : Epoch  8, Batch    667, Loss  0.763720, Average Loss  0.769932, Time  0.252598
2021-09-23 01:03:17.703037 : Epoch  4, Batch    618, Loss  0.854738, Average Loss  0.871125, Time  0.423062
2021-09-23 01:03:18.104337 : Epoch  8, Batch    501, Loss  0.764847, Average Loss  0.770542, Time  0.258744
2021-09-23 01:03:18.647230 : Epoch  8, Batch    668, Loss  0.758021, Average Loss  0.769833, Time  0.252820
2021-09-23 01:03:20.008882 : Epoch  8, Batch    502, Loss  0.769837, Average Loss  0.770516, Time  0.252172
2021-09-23 01:03:20.522417 : Epoch  8, Batch    669, Loss  0.765779, Average Loss  0.769838, Time  0.249450
2021-09-23 01:03:21.938396 : Epoch  8, Batch    503, Loss  0.773078, Average Loss  0.770484, Time  0.255655
2021-09-23 01:03:22.401123 : Epoch  8, Batch    670, Loss  0.771323, Average Loss  0.769835, Time  0.248471
2021-09-23 01:03:22.694898 : Epoch  4, Batch    619, Loss  0.885489, Average Loss  0.871159, Time  0.413666
2021-09-23 01:03:23.855700 : Epoch  8, Batch    504, Loss  0.777283, Average Loss  0.770524, Time  0.256483
2021-09-23 01:03:24.252251 : Epoch  8, Batch    671, Loss  0.763596, Average Loss  0.769832, Time  0.248864
2021-09-23 01:03:25.779354 : Epoch  8, Batch    505, Loss  0.769227, Average Loss  0.770486, Time  0.273801
2021-09-23 01:03:26.139294 : Epoch  8, Batch    672, Loss  0.772789, Average Loss  0.769814, Time  0.251320
2021-09-23 01:03:27.675971 : Epoch  8, Batch    506, Loss  0.774214, Average Loss  0.770480, Time  0.251575
2021-09-23 01:03:27.678940 : Epoch  4, Batch    620, Loss  0.882606, Average Loss  0.871275, Time  0.413135
2021-09-23 01:03:28.008872 : Epoch  8, Batch    673, Loss  0.769739, Average Loss  0.769762, Time  0.248560
2021-09-23 01:03:29.584158 : Epoch  8, Batch    507, Loss  0.771646, Average Loss  0.770418, Time  0.254515
2021-09-23 01:03:29.862715 : Epoch  8, Batch    674, Loss  0.759476, Average Loss  0.769741, Time  0.254783
2021-09-23 01:03:31.486950 : Epoch  8, Batch    508, Loss  0.769238, Average Loss  0.770365, Time  0.256394
2021-09-23 01:03:31.730051 : Epoch  8, Batch    675, Loss  0.779289, Average Loss  0.769863, Time  0.251724
2021-09-23 01:03:32.681750 : Epoch  4, Batch    621, Loss  0.888219, Average Loss  0.871319, Time  0.413517
2021-09-23 01:03:33.431001 : Epoch  8, Batch    509, Loss  0.771365, Average Loss  0.770346, Time  0.294885
2021-09-23 01:03:33.615808 : Epoch  8, Batch    676, Loss  0.756566, Average Loss  0.769834, Time  0.276906
2021-09-23 01:03:35.461912 : Epoch  8, Batch    510, Loss  0.780672, Average Loss  0.770441, Time  0.385770
2021-09-23 01:03:35.576760 : Epoch  8, Batch    677, Loss  0.764059, Average Loss  0.769848, Time  0.343155
2021-09-23 01:03:37.541819 : Epoch  8, Batch    511, Loss  0.765741, Average Loss  0.770459, Time  0.444094
2021-09-23 01:03:37.621397 : Epoch  8, Batch    678, Loss  0.763823, Average Loss  0.769882, Time  0.413929
2021-09-23 01:03:37.659141 : Epoch  4, Batch    622, Loss  0.877821, Average Loss  0.871379, Time  0.413516
2021-09-23 01:03:39.732328 : Epoch  8, Batch    512, Loss  0.771952, Average Loss  0.770483, Time  0.517187
2021-09-23 01:03:39.763277 : Epoch  8, Batch    679, Loss  0.762382, Average Loss  0.769831, Time  0.496138
2021-09-23 01:03:41.871358 : Epoch  8, Batch    680, Loss  0.779005, Average Loss  0.769884, Time  0.513423
2021-09-23 01:03:41.905490 : Epoch  8, Batch    513, Loss  0.772545, Average Loss  0.770484, Time  0.508033
2021-09-23 01:03:42.671745 : Epoch  4, Batch    623, Loss  0.862257, Average Loss  0.871298, Time  0.413280
2021-09-23 01:03:43.999687 : Epoch  8, Batch    681, Loss  0.762114, Average Loss  0.769866, Time  0.507311
2021-09-23 01:03:44.037244 : Epoch  8, Batch    514, Loss  0.768336, Average Loss  0.770461, Time  0.481099
2021-09-23 01:03:46.177543 : Epoch  8, Batch    682, Loss  0.770908, Average Loss  0.769942, Time  0.517028
2021-09-23 01:03:46.208684 : Epoch  8, Batch    515, Loss  0.766473, Average Loss  0.770428, Time  0.517102
2021-09-23 01:03:47.641981 : Epoch  4, Batch    624, Loss  0.868007, Average Loss  0.871239, Time  0.413241
2021-09-23 01:03:48.282915 : Epoch  8, Batch    683, Loss  0.761364, Average Loss  0.769937, Time  0.492764
2021-09-23 01:03:48.317998 : Epoch  8, Batch    516, Loss  0.773587, Average Loss  0.770475, Time  0.467324
2021-09-23 01:03:50.404752 : Epoch  8, Batch    684, Loss  0.783526, Average Loss  0.769992, Time  0.498392
2021-09-23 01:03:50.443762 : Epoch  8, Batch    517, Loss  0.773702, Average Loss  0.770523, Time  0.463879
2021-09-23 01:03:52.529084 : Epoch  8, Batch    685, Loss  0.773332, Average Loss  0.770024, Time  0.488866
2021-09-23 01:03:52.572927 : Epoch  8, Batch    518, Loss  0.759719, Average Loss  0.770484, Time  0.456989
2021-09-23 01:03:52.657784 : Epoch  4, Batch    625, Loss  0.878553, Average Loss  0.871293, Time  0.414685
2021-09-23 01:03:54.666062 : Epoch  8, Batch    686, Loss  0.763589, Average Loss  0.770016, Time  0.498472
2021-09-23 01:03:54.700295 : Epoch  8, Batch    519, Loss  0.771023, Average Loss  0.770482, Time  0.468628
2021-09-23 01:03:56.798717 : Epoch  8, Batch    687, Loss  0.765721, Average Loss  0.770019, Time  0.512812
2021-09-23 01:03:56.830847 : Epoch  8, Batch    520, Loss  0.781724, Average Loss  0.770508, Time  0.476832
2021-09-23 01:03:57.668746 : Epoch  4, Batch    626, Loss  0.876235, Average Loss  0.871269, Time  0.464186
2021-09-23 01:03:58.949973 : Epoch  8, Batch    688, Loss  0.775439, Average Loss  0.770016, Time  0.506902
2021-09-23 01:03:58.979230 : Epoch  8, Batch    521, Loss  0.773121, Average Loss  0.770552, Time  0.487172
2021-09-23 01:04:01.086873 : Epoch  8, Batch    689, Loss  0.779952, Average Loss  0.770029, Time  0.515899
2021-09-23 01:04:01.120929 : Epoch  8, Batch    522, Loss  0.777808, Average Loss  0.770517, Time  0.496606
2021-09-23 01:04:02.659792 : Epoch  4, Batch    627, Loss  0.860948, Average Loss  0.871268, Time  0.420167
2021-09-23 01:04:03.200842 : Epoch  8, Batch    690, Loss  0.776645, Average Loss  0.770129, Time  0.497891
2021-09-23 01:04:03.228987 : Epoch  8, Batch    523, Loss  0.777481, Average Loss  0.770532, Time  0.461874
2021-09-23 01:04:05.327915 : Epoch  8, Batch    691, Loss  0.783654, Average Loss  0.770240, Time  0.502366
2021-09-23 01:04:05.357886 : Epoch  8, Batch    524, Loss  0.767397, Average Loss  0.770501, Time  0.481012
2021-09-23 01:04:07.255755 : Epoch  8, Batch    525, Loss  0.765694, Average Loss  0.770512, Time  0.256497
2021-09-23 01:04:07.647075 : Epoch  4, Batch    628, Loss  0.864328, Average Loss  0.871266, Time  0.413503
2021-09-23 01:04:09.165839 : Epoch  8, Batch    526, Loss  0.767659, Average Loss  0.770503, Time  0.258694
2021-09-23 01:04:11.048796 : Epoch  8, Batch    527, Loss  0.773098, Average Loss  0.770405, Time  0.254702
2021-09-23 01:04:12.609592 : Epoch  4, Batch    629, Loss  0.866732, Average Loss  0.871283, Time  0.413762
2021-09-23 01:04:12.977787 : Epoch  8, Batch    528, Loss  0.770141, Average Loss  0.770449, Time  0.254719
2021-09-23 01:04:14.857022 : Epoch  8, Batch    529, Loss  0.769812, Average Loss  0.770407, Time  0.253453
2021-09-23 01:04:16.755600 : Epoch  8, Batch    530, Loss  0.774000, Average Loss  0.770432, Time  0.252017
2021-09-23 01:04:17.608976 : Epoch  4, Batch    630, Loss  0.867096, Average Loss  0.871244, Time  0.413409
2021-09-23 01:04:18.652588 : Epoch  8, Batch    531, Loss  0.766185, Average Loss  0.770388, Time  0.252003
2021-09-23 01:04:20.588840 : Epoch  8, Batch    532, Loss  0.781137, Average Loss  0.770361, Time  0.273086
2021-09-23 01:04:22.475805 : Epoch  8, Batch    533, Loss  0.772745, Average Loss  0.770331, Time  0.251706
2021-09-23 01:04:22.589765 : Epoch  4, Batch    631, Loss  0.877560, Average Loss  0.871361, Time  0.413307
2021-09-23 01:04:24.379306 : Epoch  8, Batch    534, Loss  0.766082, Average Loss  0.770376, Time  0.254973
2021-09-23 01:04:26.292320 : Epoch  8, Batch    535, Loss  0.767412, Average Loss  0.770407, Time  0.252453
2021-09-23 01:04:27.555015 : Epoch  4, Batch    632, Loss  0.871347, Average Loss  0.871362, Time  0.413322
2021-09-23 01:04:28.177090 : Epoch  8, Batch    536, Loss  0.768479, Average Loss  0.770398, Time  0.251927
2021-09-23 01:04:30.077865 : Epoch  8, Batch    537, Loss  0.767854, Average Loss  0.770400, Time  0.259240
2021-09-23 01:04:32.064039 : Epoch  8, Batch    538, Loss  0.765709, Average Loss  0.770383, Time  0.325393
2021-09-23 01:04:32.538743 : Epoch  4, Batch    633, Loss  0.858824, Average Loss  0.871292, Time  0.414007
2021-09-23 01:04:33.979019 : Epoch  8, Batch    539, Loss  0.771566, Average Loss  0.770399, Time  0.253042
2021-09-23 01:04:35.915680 : Epoch  8, Batch    540, Loss  0.769205, Average Loss  0.770336, Time  0.260068
2021-09-23 01:04:37.495845 : Epoch  4, Batch    634, Loss  0.867794, Average Loss  0.871376, Time  0.413054
2021-09-23 01:04:37.809160 : Epoch  8, Batch    541, Loss  0.773012, Average Loss  0.770369, Time  0.251741
2021-09-23 01:04:39.690236 : Epoch  8, Batch    542, Loss  0.768820, Average Loss  0.770350, Time  0.251585
2021-09-23 01:04:41.587990 : Epoch  8, Batch    543, Loss  0.773883, Average Loss  0.770369, Time  0.252450
2021-09-23 01:04:42.486915 : Epoch  4, Batch    635, Loss  0.869155, Average Loss  0.871313, Time  0.413110
2021-09-23 01:04:43.564418 : Epoch  8, Batch    544, Loss  0.769937, Average Loss  0.770391, Time  0.330988
2021-09-23 01:04:45.478012 : Epoch  8, Batch    545, Loss  0.757265, Average Loss  0.770280, Time  0.258900
2021-09-23 01:04:47.383956 : Epoch  8, Batch    546, Loss  0.763178, Average Loss  0.770213, Time  0.251933
2021-09-23 01:04:47.525066 : Epoch  4, Batch    636, Loss  0.861420, Average Loss  0.871247, Time  0.467377
2021-09-23 01:04:49.278368 : Epoch  8, Batch    547, Loss  0.767303, Average Loss  0.770213, Time  0.253848
2021-09-23 01:04:51.175874 : Epoch  8, Batch    548, Loss  0.774001, Average Loss  0.770197, Time  0.266416
2021-09-23 01:04:52.499145 : Epoch  4, Batch    637, Loss  0.858327, Average Loss  0.871167, Time  0.419841
2021-09-23 01:04:53.072122 : Epoch  8, Batch    549, Loss  0.776098, Average Loss  0.770173, Time  0.251574
2021-09-23 01:04:55.060291 : Epoch  8, Batch    550, Loss  0.773804, Average Loss  0.770182, Time  0.330561
2021-09-23 01:04:56.980844 : Epoch  8, Batch    551, Loss  0.773741, Average Loss  0.770211, Time  0.256552
2021-09-23 01:04:57.480101 : Epoch  4, Batch    638, Loss  0.873565, Average Loss  0.871177, Time  0.414142
2021-09-23 01:04:58.888872 : Epoch  8, Batch    552, Loss  0.773316, Average Loss  0.770224, Time  0.255533
2021-09-23 01:05:00.785931 : Epoch  8, Batch    553, Loss  0.786063, Average Loss  0.770253, Time  0.252355
2021-09-23 01:05:02.456959 : Epoch  4, Batch    639, Loss  0.875604, Average Loss  0.871197, Time  0.414077
2021-09-23 01:05:02.721863 : Epoch  8, Batch    554, Loss  0.764224, Average Loss  0.770256, Time  0.256451
2021-09-23 01:05:04.613000 : Epoch  8, Batch    555, Loss  0.769127, Average Loss  0.770148, Time  0.252308
2021-09-23 01:05:06.580752 : Epoch  8, Batch    556, Loss  0.775616, Average Loss  0.770196, Time  0.329786
2021-09-23 01:05:07.449147 : Epoch  4, Batch    640, Loss  0.873270, Average Loss  0.871077, Time  0.413644
2021-09-23 01:05:08.509307 : Epoch  8, Batch    557, Loss  0.778547, Average Loss  0.770253, Time  0.253774
2021-09-23 01:05:10.402049 : Epoch  8, Batch    558, Loss  0.765905, Average Loss  0.770278, Time  0.251821
2021-09-23 01:05:12.313845 : Epoch  8, Batch    559, Loss  0.772888, Average Loss  0.770290, Time  0.252135
2021-09-23 01:05:12.419560 : Epoch  4, Batch    641, Loss  0.884649, Average Loss  0.871246, Time  0.414583
2021-09-23 01:05:14.212944 : Epoch  8, Batch    560, Loss  0.772870, Average Loss  0.770303, Time  0.252526
2021-09-23 01:05:15.284918 : CheckPoint: Validation Loss  0.00032419, Best Loss  0.00030606
2021-09-23 01:05:16.128937 : Epoch  8, Batch    561, Loss  0.780793, Average Loss  0.770336, Time  0.253625
2021-09-23 01:05:17.176102 : Epoch  8, Batch    692, Loss  0.779696, Average Loss  0.770251, Time  0.253964
2021-09-23 01:05:17.391023 : Epoch  4, Batch    642, Loss  0.872510, Average Loss  0.871253, Time  0.414384
2021-09-23 01:05:19.048802 : Epoch  8, Batch    693, Loss  0.775383, Average Loss  0.770260, Time  0.250105
2021-09-23 01:05:19.818820 : Epoch  8, Batch    562, Loss  0.770142, Average Loss  0.770300, Time  0.254404
2021-09-23 01:05:20.944248 : Epoch  8, Batch    694, Loss  0.775865, Average Loss  0.770281, Time  0.250392
2021-09-23 01:05:21.734870 : Epoch  8, Batch    563, Loss  0.776755, Average Loss  0.770327, Time  0.257020
2021-09-23 01:05:22.369065 : Epoch  4, Batch    643, Loss  0.881040, Average Loss  0.871326, Time  0.413216
2021-09-23 01:05:22.827002 : Epoch  8, Batch    695, Loss  0.758011, Average Loss  0.770203, Time  0.250988
2021-09-23 01:05:23.632357 : Epoch  8, Batch    564, Loss  0.771525, Average Loss  0.770312, Time  0.251655
2021-09-23 01:05:24.682453 : Epoch  8, Batch    696, Loss  0.786761, Average Loss  0.770270, Time  0.248618
2021-09-23 01:05:25.522538 : Epoch  8, Batch    565, Loss  0.769489, Average Loss  0.770291, Time  0.252576
2021-09-23 01:05:26.556312 : Epoch  8, Batch    697, Loss  0.763217, Average Loss  0.770255, Time  0.250588
2021-09-23 01:05:27.343753 : Epoch  4, Batch    644, Loss  0.873761, Average Loss  0.871344, Time  0.413218
2021-09-23 01:05:27.409668 : Epoch  8, Batch    566, Loss  0.768189, Average Loss  0.770278, Time  0.252509
2021-09-23 01:05:28.428889 : Epoch  8, Batch    698, Loss  0.762578, Average Loss  0.770213, Time  0.252430
2021-09-23 01:05:29.312834 : Epoch  8, Batch    567, Loss  0.774710, Average Loss  0.770248, Time  0.254018
2021-09-23 01:05:30.303847 : Epoch  8, Batch    699, Loss  0.777718, Average Loss  0.770250, Time  0.251013
2021-09-23 01:05:31.238563 : Epoch  8, Batch    568, Loss  0.761087, Average Loss  0.770237, Time  0.251600
2021-09-23 01:05:32.177518 : Epoch  8, Batch    700, Loss  0.759948, Average Loss  0.770153, Time  0.255013
2021-09-23 01:05:32.431102 : Epoch  4, Batch    645, Loss  0.864723, Average Loss  0.871397, Time  0.458086
2021-09-23 01:05:33.138741 : Epoch  8, Batch    569, Loss  0.766980, Average Loss  0.770202, Time  0.253978
2021-09-23 01:05:34.047833 : Epoch  8, Batch    701, Loss  0.769070, Average Loss  0.770170, Time  0.248981
2021-09-23 01:05:35.015745 : Epoch  8, Batch    570, Loss  0.782128, Average Loss  0.770249, Time  0.253718
2021-09-23 01:05:35.902728 : Epoch  8, Batch    702, Loss  0.768250, Average Loss  0.770094, Time  0.250432
2021-09-23 01:05:36.907872 : Epoch  8, Batch    571, Loss  0.773173, Average Loss  0.770357, Time  0.255388
2021-09-23 01:05:37.403863 : Epoch  4, Batch    646, Loss  0.874844, Average Loss  0.871454, Time  0.413193
2021-09-23 01:05:37.769338 : Epoch  8, Batch    703, Loss  0.758261, Average Loss  0.770037, Time  0.253082
2021-09-23 01:05:38.800379 : Epoch  8, Batch    572, Loss  0.773027, Average Loss  0.770403, Time  0.255248
2021-09-23 01:05:39.637299 : Epoch  8, Batch    704, Loss  0.766420, Average Loss  0.769983, Time  0.249812
2021-09-23 01:05:40.708293 : Epoch  8, Batch    573, Loss  0.766050, Average Loss  0.770370, Time  0.254382
2021-09-23 01:05:41.496051 : Epoch  8, Batch    705, Loss  0.760592, Average Loss  0.770007, Time  0.248670
2021-09-23 01:05:42.358803 : Epoch  4, Batch    647, Loss  0.865296, Average Loss  0.871409, Time  0.413458
2021-09-23 01:05:42.608430 : Epoch  8, Batch    574, Loss  0.768432, Average Loss  0.770330, Time  0.253779
2021-09-23 01:05:43.361980 : Epoch  8, Batch    706, Loss  0.758491, Average Loss  0.769987, Time  0.253295
2021-09-23 01:05:44.517810 : Epoch  8, Batch    575, Loss  0.766687, Average Loss  0.770324, Time  0.251703
2021-09-23 01:05:45.233761 : Epoch  8, Batch    707, Loss  0.765821, Average Loss  0.769985, Time  0.248939
2021-09-23 01:05:46.422174 : Epoch  8, Batch    576, Loss  0.754118, Average Loss  0.770227, Time  0.253204
2021-09-23 01:05:47.093088 : Epoch  8, Batch    708, Loss  0.762725, Average Loss  0.769992, Time  0.249415
2021-09-23 01:05:47.333184 : Epoch  4, Batch    648, Loss  0.871831, Average Loss  0.871389, Time  0.413258
2021-09-23 01:05:48.331658 : Epoch  8, Batch    577, Loss  0.763958, Average Loss  0.770185, Time  0.262804
2021-09-23 01:05:48.962375 : Epoch  8, Batch    709, Loss  0.760371, Average Loss  0.769939, Time  0.248484
2021-09-23 01:05:50.246916 : Epoch  8, Batch    578, Loss  0.772977, Average Loss  0.770226, Time  0.262523
2021-09-23 01:05:50.836085 : Epoch  8, Batch    710, Loss  0.777806, Average Loss  0.769994, Time  0.250864
2021-09-23 01:05:52.178288 : Epoch  8, Batch    579, Loss  0.771191, Average Loss  0.770267, Time  0.265348
2021-09-23 01:05:52.303882 : Epoch  4, Batch    649, Loss  0.866179, Average Loss  0.871357, Time  0.413310
2021-09-23 01:05:52.713978 : Epoch  8, Batch    711, Loss  0.769452, Average Loss  0.769978, Time  0.254506
2021-09-23 01:05:54.069670 : Epoch  8, Batch    580, Loss  0.774911, Average Loss  0.770351, Time  0.253264
2021-09-23 01:05:54.575691 : Epoch  8, Batch    712, Loss  0.773696, Average Loss  0.769945, Time  0.248366
2021-09-23 01:05:55.976704 : Epoch  8, Batch    581, Loss  0.775142, Average Loss  0.770365, Time  0.260895
2021-09-23 01:05:56.419525 : Epoch  8, Batch    713, Loss  0.772768, Average Loss  0.769987, Time  0.249520
2021-09-23 01:05:57.267789 : Epoch  4, Batch    650, Loss  0.864943, Average Loss  0.871369, Time  0.413448
2021-09-23 01:05:57.876271 : Epoch  8, Batch    582, Loss  0.772526, Average Loss  0.770426, Time  0.252951
2021-09-23 01:05:58.275254 : Epoch  8, Batch    714, Loss  0.762951, Average Loss  0.769931, Time  0.248827
2021-09-23 01:05:59.779757 : Epoch  8, Batch    583, Loss  0.769487, Average Loss  0.770366, Time  0.253479
2021-09-23 01:06:00.174272 : Epoch  8, Batch    715, Loss  0.769678, Average Loss  0.769889, Time  0.252818
2021-09-23 01:06:01.689010 : Epoch  8, Batch    584, Loss  0.769420, Average Loss  0.770355, Time  0.252973
2021-09-23 01:06:02.064238 : Epoch  8, Batch    716, Loss  0.772121, Average Loss  0.769918, Time  0.248992
2021-09-23 01:06:02.256010 : Epoch  4, Batch    651, Loss  0.865431, Average Loss  0.871323, Time  0.416156
2021-09-23 01:06:03.603233 : Epoch  8, Batch    585, Loss  0.767464, Average Loss  0.770363, Time  0.252366
2021-09-23 01:06:03.929908 : Epoch  8, Batch    717, Loss  0.766249, Average Loss  0.769886, Time  0.248729
2021-09-23 01:06:05.511347 : Epoch  8, Batch    586, Loss  0.775227, Average Loss  0.770376, Time  0.258183
2021-09-23 01:06:05.804843 : Epoch  8, Batch    718, Loss  0.764148, Average Loss  0.769856, Time  0.263396
2021-09-23 01:06:07.225138 : Epoch  4, Batch    652, Loss  0.865040, Average Loss  0.871403, Time  0.414349
2021-09-23 01:06:07.425103 : Epoch  8, Batch    587, Loss  0.759003, Average Loss  0.770351, Time  0.258857
2021-09-23 01:06:07.676380 : Epoch  8, Batch    719, Loss  0.776657, Average Loss  0.769871, Time  0.252472
2021-09-23 01:06:09.408841 : Epoch  8, Batch    588, Loss  0.765829, Average Loss  0.770299, Time  0.305495
2021-09-23 01:06:09.583396 : Epoch  8, Batch    720, Loss  0.765223, Average Loss  0.769878, Time  0.283128
2021-09-23 01:06:11.487385 : Epoch  8, Batch    589, Loss  0.769550, Average Loss  0.770311, Time  0.411501
2021-09-23 01:06:11.588121 : Epoch  8, Batch    721, Loss  0.768674, Average Loss  0.769904, Time  0.373145
2021-09-23 01:06:12.191848 : Epoch  4, Batch    653, Loss  0.869166, Average Loss  0.871365, Time  0.413119
2021-09-23 01:06:13.632049 : Epoch  8, Batch    590, Loss  0.775384, Average Loss  0.770302, Time  0.496440
2021-09-23 01:06:13.664155 : Epoch  8, Batch    722, Loss  0.766738, Average Loss  0.769918, Time  0.458434
2021-09-23 01:06:15.811282 : Epoch  8, Batch    723, Loss  0.775692, Average Loss  0.769994, Time  0.519617
2021-09-23 01:06:15.845936 : Epoch  8, Batch    591, Loss  0.772465, Average Loss  0.770274, Time  0.529431
2021-09-23 01:06:17.223958 : Epoch  4, Batch    654, Loss  0.870976, Average Loss  0.871320, Time  0.464309
2021-09-23 01:06:17.690076 : Epoch  8, Batch    724, Loss  0.769635, Average Loss  0.769997, Time  0.256885
2021-09-23 01:06:19.592843 : Epoch  8, Batch    725, Loss  0.773056, Average Loss  0.770010, Time  0.293376
2021-09-23 01:06:21.450964 : Epoch  8, Batch    726, Loss  0.765279, Average Loss  0.769943, Time  0.249810
2021-09-23 01:06:22.201741 : Epoch  4, Batch    655, Loss  0.862893, Average Loss  0.871274, Time  0.419644
2021-09-23 01:06:23.382823 : Epoch  8, Batch    727, Loss  0.762990, Average Loss  0.769821, Time  0.252989
2021-09-23 01:06:25.270329 : Epoch  8, Batch    728, Loss  0.762745, Average Loss  0.769848, Time  0.251400
2021-09-23 01:06:27.165061 : Epoch  8, Batch    729, Loss  0.764844, Average Loss  0.769853, Time  0.256114
2021-09-23 01:06:27.169742 : Epoch  4, Batch    656, Loss  0.870796, Average Loss  0.871317, Time  0.412956
2021-09-23 01:06:29.042858 : Epoch  8, Batch    730, Loss  0.755863, Average Loss  0.769783, Time  0.251319
2021-09-23 01:06:30.920970 : Epoch  8, Batch    731, Loss  0.773297, Average Loss  0.769759, Time  0.252873
2021-09-23 01:06:32.170873 : Epoch  4, Batch    657, Loss  0.866822, Average Loss  0.871319, Time  0.413131
2021-09-23 01:06:32.872063 : Epoch  8, Batch    732, Loss  0.757228, Average Loss  0.769659, Time  0.325311
2021-09-23 01:06:34.753283 : Epoch  8, Batch    733, Loss  0.778864, Average Loss  0.769624, Time  0.250372
2021-09-23 01:06:36.626790 : Epoch  8, Batch    734, Loss  0.774643, Average Loss  0.769638, Time  0.253197
2021-09-23 01:06:37.151825 : Epoch  4, Batch    658, Loss  0.872511, Average Loss  0.871272, Time  0.413003
2021-09-23 01:06:38.504805 : Epoch  8, Batch    735, Loss  0.782099, Average Loss  0.769712, Time  0.250321
2021-09-23 01:06:40.380986 : Epoch  8, Batch    736, Loss  0.769270, Average Loss  0.769692, Time  0.249196
2021-09-23 01:06:42.123019 : Epoch  4, Batch    659, Loss  0.873150, Average Loss  0.871291, Time  0.413404
2021-09-23 01:06:42.237622 : Epoch  8, Batch    737, Loss  0.774237, Average Loss  0.769742, Time  0.248479
2021-09-23 01:06:44.096048 : Epoch  8, Batch    738, Loss  0.765045, Average Loss  0.769714, Time  0.248193
2021-09-23 01:06:45.956593 : Epoch  8, Batch    739, Loss  0.770337, Average Loss  0.769735, Time  0.249197
2021-09-23 01:06:47.100767 : Epoch  4, Batch    660, Loss  0.871421, Average Loss  0.871276, Time  0.413038
2021-09-23 01:06:47.912094 : Epoch  8, Batch    740, Loss  0.755885, Average Loss  0.769688, Time  0.325220
2021-09-23 01:06:49.772958 : Epoch  8, Batch    741, Loss  0.777497, Average Loss  0.769734, Time  0.247876
2021-09-23 01:06:51.653687 : Epoch  8, Batch    742, Loss  0.767789, Average Loss  0.769692, Time  0.249299
2021-09-23 01:06:52.080165 : Epoch  4, Batch    661, Loss  0.886448, Average Loss  0.871360, Time  0.413134
2021-09-23 01:06:53.534903 : Epoch  8, Batch    743, Loss  0.767138, Average Loss  0.769710, Time  0.248318
2021-09-23 01:06:55.402005 : Epoch  8, Batch    744, Loss  0.768003, Average Loss  0.769658, Time  0.248134
2021-09-23 01:06:57.046329 : Epoch  4, Batch    662, Loss  0.856430, Average Loss  0.871254, Time  0.413172
2021-09-23 01:06:57.292329 : Epoch  8, Batch    745, Loss  0.763508, Average Loss  0.769571, Time  0.248387
2021-09-23 01:06:59.154200 : Epoch  8, Batch    746, Loss  0.757131, Average Loss  0.769516, Time  0.247752
2021-09-23 01:07:01.037926 : Epoch  8, Batch    747, Loss  0.768246, Average Loss  0.769510, Time  0.252813
2021-09-23 01:07:02.083780 : Epoch  4, Batch    663, Loss  0.870946, Average Loss  0.871267, Time  0.466478
2021-09-23 01:07:03.001424 : Epoch  8, Batch    748, Loss  0.770145, Average Loss  0.769450, Time  0.328829
2021-09-23 01:07:04.880064 : Epoch  8, Batch    749, Loss  0.783464, Average Loss  0.769554, Time  0.248934
2021-09-23 01:07:06.763145 : Epoch  8, Batch    750, Loss  0.771722, Average Loss  0.769562, Time  0.251801
2021-09-23 01:07:07.113951 : Epoch  4, Batch    664, Loss  0.864339, Average Loss  0.871203, Time  0.419870
2021-09-23 01:07:08.660275 : Epoch  8, Batch    751, Loss  0.775848, Average Loss  0.769572, Time  0.254140
2021-09-23 01:07:10.525384 : Epoch  8, Batch    752, Loss  0.770371, Average Loss  0.769526, Time  0.250065
2021-09-23 01:07:12.074828 : Epoch  4, Batch    665, Loss  0.885867, Average Loss  0.871319, Time  0.413543
2021-09-23 01:07:12.417285 : Epoch  8, Batch    753, Loss  0.765971, Average Loss  0.769550, Time  0.248588
2021-09-23 01:07:14.283106 : Epoch  8, Batch    754, Loss  0.775331, Average Loss  0.769602, Time  0.249367
2021-09-23 01:07:16.187882 : Epoch  8, Batch    755, Loss  0.764269, Average Loss  0.769571, Time  0.285441
2021-09-23 01:07:17.052771 : Epoch  4, Batch    666, Loss  0.872740, Average Loss  0.871326, Time  0.413507
2021-09-23 01:07:18.113403 : Epoch  8, Batch    756, Loss  0.766794, Average Loss  0.769508, Time  0.317549
2021-09-23 01:07:19.978188 : Epoch  8, Batch    757, Loss  0.767980, Average Loss  0.769460, Time  0.250085
2021-09-23 01:07:21.859199 : Epoch  8, Batch    758, Loss  0.773605, Average Loss  0.769452, Time  0.248870
2021-09-23 01:07:22.049720 : Epoch  4, Batch    667, Loss  0.861721, Average Loss  0.871312, Time  0.413196
2021-09-23 01:07:23.725757 : Epoch  8, Batch    759, Loss  0.768066, Average Loss  0.769438, Time  0.251440
2021-09-23 01:07:25.602263 : Epoch  8, Batch    760, Loss  0.767171, Average Loss  0.769440, Time  0.252507
2021-09-23 01:07:26.830085 : CheckPoint: Validation Loss  0.00031278, Best Loss  0.00030514
2021-09-23 01:07:27.030869 : Epoch  4, Batch    668, Loss  0.860603, Average Loss  0.871361, Time  0.413165
2021-09-23 01:07:27.496483 : Epoch  8, Batch    761, Loss  0.773038, Average Loss  0.769421, Time  0.261260
2021-09-23 01:07:28.748143 : Epoch  8, Batch    592, Loss  0.766589, Average Loss  0.770253, Time  0.256578
2021-09-23 01:07:30.639325 : Epoch  8, Batch    593, Loss  0.757436, Average Loss  0.770144, Time  0.251968
2021-09-23 01:07:31.166228 : Epoch  8, Batch    762, Loss  0.769608, Average Loss  0.769420, Time  0.249938
2021-09-23 01:07:31.995023 : Epoch  4, Batch    669, Loss  0.872970, Average Loss  0.871410, Time  0.413314
2021-09-23 01:07:32.529920 : Epoch  8, Batch    594, Loss  0.763026, Average Loss  0.770147, Time  0.253279
2021-09-23 01:07:33.031919 : Epoch  8, Batch    763, Loss  0.768916, Average Loss  0.769402, Time  0.249679
2021-09-23 01:07:34.431227 : Epoch  8, Batch    595, Loss  0.766155, Average Loss  0.770151, Time  0.255033
2021-09-23 01:07:34.903169 : Epoch  8, Batch    764, Loss  0.772439, Average Loss  0.769457, Time  0.250755
2021-09-23 01:07:36.335036 : Epoch  8, Batch    596, Loss  0.763546, Average Loss  0.770126, Time  0.253751
2021-09-23 01:07:36.773284 : Epoch  8, Batch    765, Loss  0.778441, Average Loss  0.769474, Time  0.255376
2021-09-23 01:07:36.957015 : Epoch  4, Batch    670, Loss  0.855395, Average Loss  0.871344, Time  0.413257
2021-09-23 01:07:38.262904 : Epoch  8, Batch    597, Loss  0.780786, Average Loss  0.770211, Time  0.251723
2021-09-23 01:07:38.643496 : Epoch  8, Batch    766, Loss  0.774784, Average Loss  0.769470, Time  0.250772
2021-09-23 01:07:40.157779 : Epoch  8, Batch    598, Loss  0.772355, Average Loss  0.770227, Time  0.253463
2021-09-23 01:07:40.516204 : Epoch  8, Batch    767, Loss  0.771463, Average Loss  0.769459, Time  0.248810
2021-09-23 01:07:41.926006 : Epoch  4, Batch    671, Loss  0.877530, Average Loss  0.871355, Time  0.413296
2021-09-23 01:07:42.054656 : Epoch  8, Batch    599, Loss  0.768200, Average Loss  0.770164, Time  0.254163
2021-09-23 01:07:42.375837 : Epoch  8, Batch    768, Loss  0.772889, Average Loss  0.769440, Time  0.248171
2021-09-23 01:07:43.942090 : Epoch  8, Batch    600, Loss  0.767163, Average Loss  0.770180, Time  0.255795
2021-09-23 01:07:44.231636 : Epoch  8, Batch    769, Loss  0.764194, Average Loss  0.769372, Time  0.251590
2021-09-23 01:07:45.847275 : Epoch  8, Batch    601, Loss  0.771969, Average Loss  0.770241, Time  0.254174
2021-09-23 01:07:46.124905 : Epoch  8, Batch    770, Loss  0.763207, Average Loss  0.769368, Time  0.252050
2021-09-23 01:07:46.963874 : Epoch  4, Batch    672, Loss  0.858359, Average Loss  0.871270, Time  0.467708
2021-09-23 01:07:47.746355 : Epoch  8, Batch    602, Loss  0.774786, Average Loss  0.770204, Time  0.252229
2021-09-23 01:07:48.028219 : Epoch  8, Batch    771, Loss  0.763574, Average Loss  0.769273, Time  0.251901
2021-09-23 01:07:49.643730 : Epoch  8, Batch    603, Loss  0.765631, Average Loss  0.770226, Time  0.252047
2021-09-23 01:07:49.896757 : Epoch  8, Batch    772, Loss  0.770908, Average Loss  0.769286, Time  0.249461
2021-09-23 01:07:51.544124 : Epoch  8, Batch    604, Loss  0.764511, Average Loss  0.770230, Time  0.260557
2021-09-23 01:07:51.789520 : Epoch  8, Batch    773, Loss  0.760945, Average Loss  0.769230, Time  0.254761
2021-09-23 01:07:51.948766 : Epoch  4, Batch    673, Loss  0.849937, Average Loss  0.871136, Time  0.419670
2021-09-23 01:07:53.451211 : Epoch  8, Batch    605, Loss  0.764667, Average Loss  0.770224, Time  0.259223
2021-09-23 01:07:53.684274 : Epoch  8, Batch    774, Loss  0.772826, Average Loss  0.769227, Time  0.262600
2021-09-23 01:07:55.483853 : Epoch  8, Batch    606, Loss  0.774912, Average Loss  0.770265, Time  0.365095
2021-09-23 01:07:55.622934 : Epoch  8, Batch    775, Loss  0.771401, Average Loss  0.769252, Time  0.333961
2021-09-23 01:07:56.919744 : Epoch  4, Batch    674, Loss  0.859412, Average Loss  0.871096, Time  0.413170
2021-09-23 01:07:57.574124 : Epoch  8, Batch    607, Loss  0.768051, Average Loss  0.770255, Time  0.435075
2021-09-23 01:07:57.658175 : Epoch  8, Batch    776, Loss  0.761005, Average Loss  0.769235, Time  0.401792
2021-09-23 01:07:59.707958 : Epoch  8, Batch    608, Loss  0.778508, Average Loss  0.770347, Time  0.467278
2021-09-23 01:07:59.768889 : Epoch  8, Batch    777, Loss  0.765620, Average Loss  0.769258, Time  0.442528
2021-09-23 01:08:01.885683 : Epoch  8, Batch    778, Loss  0.759159, Average Loss  0.769175, Time  0.499511
2021-09-23 01:08:01.917030 : Epoch  8, Batch    609, Loss  0.764991, Average Loss  0.770408, Time  0.516260
2021-09-23 01:08:04.101851 : Epoch  8, Batch    779, Loss  0.765284, Average Loss  0.769185, Time  0.516971
2021-09-23 01:08:04.130719 : Epoch  8, Batch    610, Loss  0.786192, Average Loss  0.770496, Time  0.507100
2021-09-23 01:08:06.207872 : Epoch  8, Batch    780, Loss  0.782116, Average Loss  0.769312, Time  0.493597
2021-09-23 01:08:06.247326 : Epoch  8, Batch    611, Loss  0.766776, Average Loss  0.770457, Time  0.455673
2021-09-23 01:08:06.890768 : Epoch  4, Batch    676, Loss  0.862937, Average Loss  0.871053, Time  0.413522
2021-09-23 01:08:08.320974 : Epoch  8, Batch    781, Loss  0.780428, Average Loss  0.769371, Time  0.486160
2021-09-23 01:08:08.375279 : Epoch  8, Batch    612, Loss  0.769650, Average Loss  0.770434, Time  0.453832
2021-09-23 01:08:10.419415 : Epoch  8, Batch    782, Loss  0.773109, Average Loss  0.769397, Time  0.461194
2021-09-23 01:08:10.467069 : Epoch  8, Batch    613, Loss  0.768257, Average Loss  0.770461, Time  0.433897
2021-09-23 01:08:11.872788 : Epoch  4, Batch    677, Loss  0.870615, Average Loss  0.870953, Time  0.414088
2021-09-23 01:08:12.504473 : Epoch  8, Batch    783, Loss  0.763186, Average Loss  0.769390, Time  0.466796
2021-09-23 01:08:12.557764 : Epoch  8, Batch    614, Loss  0.771217, Average Loss  0.770480, Time  0.434627
2021-09-23 01:08:14.604084 : Epoch  8, Batch    784, Loss  0.762063, Average Loss  0.769341, Time  0.476172
2021-09-23 01:08:14.647797 : Epoch  8, Batch    615, Loss  0.780487, Average Loss  0.770557, Time  0.440332
2021-09-23 01:08:16.732737 : Epoch  8, Batch    785, Loss  0.778910, Average Loss  0.769342, Time  0.494772
2021-09-23 01:08:16.769895 : Epoch  8, Batch    616, Loss  0.774275, Average Loss  0.770546, Time  0.467310
2021-09-23 01:08:16.897956 : Epoch  4, Batch    678, Loss  0.861689, Average Loss  0.870840, Time  0.413681
2021-09-23 01:08:18.894537 : Epoch  8, Batch    786, Loss  0.782078, Average Loss  0.769440, Time  0.505259
2021-09-23 01:08:18.928338 : Epoch  8, Batch    617, Loss  0.772906, Average Loss  0.770517, Time  0.488255
2021-09-23 01:08:20.996288 : Epoch  8, Batch    787, Loss  0.771328, Average Loss  0.769425, Time  0.484710
2021-09-23 01:08:21.034988 : Epoch  8, Batch    618, Loss  0.772997, Average Loss  0.770477, Time  0.451493
2021-09-23 01:08:21.071894 : Saving Model after 8-th Epoch.
2021-09-23 01:08:21.888775 : Epoch  4, Batch    679, Loss  0.868177, Average Loss  0.870846, Time  0.413831
2021-09-23 01:08:22.039191 : Epoch Finished.
2021-09-23 01:08:22.928556 : Epoch  8, Batch    619, Loss  0.777937, Average Loss  0.770515, Time  0.253814
2021-09-23 01:08:23.880313 : Batch Shuffled
2021-09-23 01:08:24.847829 : Epoch  8, Batch    620, Loss  0.771334, Average Loss  0.770546, Time  0.253084
2021-09-23 01:08:25.765011 : Epoch  9, Batch      1, Loss  0.780602, Average Loss  0.769508, Time  0.250251
2021-09-23 01:08:26.741294 : Epoch  8, Batch    621, Loss  0.775059, Average Loss  0.770526, Time  0.253943
2021-09-23 01:08:26.965865 : Epoch  4, Batch    680, Loss  0.870426, Average Loss  0.870869, Time  0.431385
2021-09-23 01:08:27.632161 : Epoch  9, Batch      2, Loss  0.774271, Average Loss  0.769534, Time  0.250944
2021-09-23 01:08:28.673946 : Epoch  8, Batch    622, Loss  0.776567, Average Loss  0.770504, Time  0.253724
2021-09-23 01:08:29.516841 : Epoch  9, Batch      3, Loss  0.776004, Average Loss  0.769592, Time  0.253370
2021-09-23 01:08:30.582747 : Epoch  8, Batch    623, Loss  0.767905, Average Loss  0.770453, Time  0.253601
2021-09-23 01:08:31.398315 : Epoch  9, Batch      4, Loss  0.777475, Average Loss  0.769600, Time  0.251426
2021-09-23 01:08:31.990786 : Epoch  4, Batch    681, Loss  0.875996, Average Loss  0.870933, Time  0.464247
2021-09-23 01:08:32.487082 : Epoch  8, Batch    624, Loss  0.774113, Average Loss  0.770419, Time  0.254438
2021-09-23 01:08:34.378240 : Epoch  8, Batch    625, Loss  0.777366, Average Loss  0.770500, Time  0.252111
2021-09-23 01:08:36.277664 : Epoch  8, Batch    626, Loss  0.776495, Average Loss  0.770513, Time  0.261312
2021-09-23 01:08:36.960632 : Epoch  4, Batch    682, Loss  0.870353, Average Loss  0.870918, Time  0.420112
2021-09-23 01:08:38.295863 : Epoch  8, Batch    627, Loss  0.774659, Average Loss  0.770495, Time  0.331398
2021-09-23 01:08:40.179882 : Epoch  8, Batch    628, Loss  0.766816, Average Loss  0.770480, Time  0.252186
2021-09-23 01:08:41.934028 : Epoch  4, Batch    683, Loss  0.859767, Average Loss  0.870883, Time  0.413139
2021-09-23 01:08:42.076867 : Epoch  8, Batch    629, Loss  0.772139, Average Loss  0.770488, Time  0.252187
2021-09-23 01:08:43.980002 : Epoch  8, Batch    630, Loss  0.774636, Average Loss  0.770468, Time  0.255085
2021-09-23 01:08:45.872330 : Epoch  8, Batch    631, Loss  0.765058, Average Loss  0.770472, Time  0.256277
2021-09-23 01:08:46.901773 : Epoch  4, Batch    684, Loss  0.866641, Average Loss  0.870873, Time  0.413047
2021-09-23 01:08:47.782364 : Epoch  8, Batch    632, Loss  0.769202, Average Loss  0.770526, Time  0.253412
2021-09-23 01:08:49.698633 : Epoch  8, Batch    633, Loss  0.771575, Average Loss  0.770500, Time  0.256010
2021-09-23 01:08:51.684771 : Epoch  8, Batch    634, Loss  0.774155, Average Loss  0.770498, Time  0.327953
2021-09-23 01:08:51.881778 : Epoch  4, Batch    685, Loss  0.876512, Average Loss  0.870907, Time  0.413284
2021-09-23 01:08:53.587721 : Epoch  8, Batch    635, Loss  0.772317, Average Loss  0.770537, Time  0.257458
2021-09-23 01:08:55.484246 : Epoch  8, Batch    636, Loss  0.767912, Average Loss  0.770560, Time  0.251150
2021-09-23 01:08:56.860778 : Epoch  4, Batch    686, Loss  0.873648, Average Loss  0.870861, Time  0.413404
2021-09-23 01:08:57.393367 : Epoch  8, Batch    637, Loss  0.772742, Average Loss  0.770592, Time  0.253518
2021-09-23 01:08:59.299028 : Epoch  8, Batch    638, Loss  0.768741, Average Loss  0.770574, Time  0.251077
2021-09-23 01:09:01.211036 : Epoch  8, Batch    639, Loss  0.771557, Average Loss  0.770570, Time  0.254532
2021-09-23 01:09:01.863834 : Epoch  4, Batch    687, Loss  0.881128, Average Loss  0.870982, Time  0.413505
2021-09-23 01:09:03.196011 : Epoch  8, Batch    640, Loss  0.770153, Average Loss  0.770583, Time  0.330771
2021-09-23 01:09:05.098793 : Epoch  8, Batch    641, Loss  0.759277, Average Loss  0.770506, Time  0.252502
2021-09-23 01:09:06.850824 : Epoch  4, Batch    688, Loss  0.880474, Average Loss  0.870903, Time  0.414225
2021-09-23 01:09:07.024592 : Epoch  8, Batch    642, Loss  0.766052, Average Loss  0.770495, Time  0.251935
2021-09-23 01:09:08.941275 : Epoch  8, Batch    643, Loss  0.772598, Average Loss  0.770605, Time  0.253511
2021-09-23 01:09:10.844303 : Epoch  8, Batch    644, Loss  0.766615, Average Loss  0.770560, Time  0.253295
2021-09-23 01:09:11.839736 : Epoch  4, Batch    689, Loss  0.859441, Average Loss  0.870828, Time  0.413694
2021-09-23 01:09:12.762040 : Epoch  8, Batch    645, Loss  0.771784, Average Loss  0.770559, Time  0.253083
2021-09-23 01:09:14.757291 : Epoch  8, Batch    646, Loss  0.767343, Average Loss  0.770577, Time  0.326725
2021-09-23 01:09:16.672676 : Epoch  8, Batch    647, Loss  0.771079, Average Loss  0.770618, Time  0.260186
2021-09-23 01:09:16.868272 : Epoch  4, Batch    690, Loss  0.867345, Average Loss  0.870785, Time  0.465226
2021-09-23 01:09:18.567056 : Epoch  8, Batch    648, Loss  0.769302, Average Loss  0.770567, Time  0.256208
2021-09-23 01:09:20.466738 : Epoch  8, Batch    649, Loss  0.774436, Average Loss  0.770570, Time  0.256808
2021-09-23 01:09:21.872737 : Epoch  4, Batch    691, Loss  0.879123, Average Loss  0.870802, Time  0.418815
2021-09-23 01:09:22.365847 : Epoch  8, Batch    650, Loss  0.776730, Average Loss  0.770669, Time  0.252287
2021-09-23 01:09:24.245876 : Epoch  8, Batch    651, Loss  0.765037, Average Loss  0.770598, Time  0.251570
2021-09-23 01:09:26.149738 : Epoch  8, Batch    652, Loss  0.764452, Average Loss  0.770632, Time  0.266108
2021-09-23 01:09:26.853511 : Epoch  4, Batch    692, Loss  0.869117, Average Loss  0.870798, Time  0.413702
2021-09-23 01:09:28.085310 : Epoch  8, Batch    653, Loss  0.766141, Average Loss  0.770560, Time  0.290022
2021-09-23 01:09:29.982392 : Epoch  8, Batch    654, Loss  0.767047, Average Loss  0.770606, Time  0.252375
2021-09-23 01:09:31.830990 : Epoch  4, Batch    693, Loss  0.857601, Average Loss  0.870767, Time  0.413033
2021-09-23 01:09:31.878910 : Epoch  8, Batch    655, Loss  0.769040, Average Loss  0.770629, Time  0.251819
2021-09-23 01:09:33.776272 : Epoch  8, Batch    656, Loss  0.767523, Average Loss  0.770571, Time  0.251823
2021-09-23 01:09:35.666098 : Epoch  8, Batch    657, Loss  0.771010, Average Loss  0.770610, Time  0.257117
2021-09-23 01:09:36.803769 : Epoch  4, Batch    694, Loss  0.882539, Average Loss  0.870788, Time  0.413366
2021-09-23 01:09:37.560099 : Epoch  8, Batch    658, Loss  0.765722, Average Loss  0.770583, Time  0.252106
2021-09-23 01:09:39.546143 : Epoch  8, Batch    659, Loss  0.770934, Average Loss  0.770529, Time  0.336242
2021-09-23 01:09:41.457084 : Epoch  8, Batch    660, Loss  0.765125, Average Loss  0.770450, Time  0.254417
2021-09-23 01:09:41.675127 : CheckPoint: Validation Loss  0.00031912, Best Loss  0.00030606
2021-09-23 01:09:41.780927 : Epoch  4, Batch    695, Loss  0.875446, Average Loss  0.870805, Time  0.413080
2021-09-23 01:09:43.434107 : Epoch  8, Batch    661, Loss  0.769004, Average Loss  0.770479, Time  0.329349
2021-09-23 01:09:43.593340 : Epoch  9, Batch      5, Loss  0.772217, Average Loss  0.769617, Time  0.295518
2021-09-23 01:09:45.459830 : Epoch  9, Batch      6, Loss  0.763465, Average Loss  0.769606, Time  0.254951
2021-09-23 01:09:46.763940 : Epoch  4, Batch    696, Loss  0.866458, Average Loss  0.870741, Time  0.413617
2021-09-23 01:09:47.223483 : Epoch  8, Batch    662, Loss  0.770026, Average Loss  0.770480, Time  0.328365
2021-09-23 01:09:47.383595 : Epoch  9, Batch      7, Loss  0.762362, Average Loss  0.769567, Time  0.292033
2021-09-23 01:09:49.291232 : Epoch  8, Batch    663, Loss  0.768062, Average Loss  0.770481, Time  0.421386
2021-09-23 01:09:49.378811 : Epoch  9, Batch      8, Loss  0.772461, Average Loss  0.769600, Time  0.384168
2021-09-23 01:09:51.443826 : Epoch  8, Batch    664, Loss  0.778541, Average Loss  0.770424, Time  0.502776
2021-09-23 01:09:51.476861 : Epoch  9, Batch      9, Loss  0.767212, Average Loss  0.769559, Time  0.471727
2021-09-23 01:09:51.731775 : Epoch  4, Batch    697, Loss  0.859596, Average Loss  0.870636, Time  0.413261
2021-09-23 01:09:53.599156 : Epoch  8, Batch    665, Loss  0.780977, Average Loss  0.770460, Time  0.508860
2021-09-23 01:09:53.630852 : Epoch  9, Batch     10, Loss  0.769950, Average Loss  0.769558, Time  0.481194
2021-09-23 01:09:55.765326 : Epoch  9, Batch     11, Loss  0.761787, Average Loss  0.769521, Time  0.505083
2021-09-23 01:09:55.796015 : Epoch  8, Batch    666, Loss  0.769832, Average Loss  0.770462, Time  0.493281
2021-09-23 01:09:56.741768 : Epoch  4, Batch    698, Loss  0.882841, Average Loss  0.870725, Time  0.413215
2021-09-23 01:09:57.885839 : Epoch  9, Batch     12, Loss  0.770985, Average Loss  0.769484, Time  0.501174
2021-09-23 01:09:57.919222 : Epoch  8, Batch    667, Loss  0.778551, Average Loss  0.770521, Time  0.473306
2021-09-23 01:09:59.969933 : Epoch  9, Batch     13, Loss  0.769527, Average Loss  0.769448, Time  0.462729
2021-09-23 01:10:00.025852 : Epoch  8, Batch    668, Loss  0.772875, Average Loss  0.770502, Time  0.428114
2021-09-23 01:10:01.770007 : Epoch  4, Batch    699, Loss  0.861241, Average Loss  0.870728, Time  0.457693
2021-09-23 01:10:02.061287 : Epoch  9, Batch     14, Loss  0.763728, Average Loss  0.769390, Time  0.461980
2021-09-23 01:10:02.113824 : Epoch  8, Batch    669, Loss  0.778427, Average Loss  0.770522, Time  0.428877
2021-09-23 01:10:04.146952 : Epoch  9, Batch     15, Loss  0.765367, Average Loss  0.769382, Time  0.462365
2021-09-23 01:10:04.203260 : Epoch  8, Batch    670, Loss  0.776815, Average Loss  0.770581, Time  0.421520
2021-09-23 01:10:06.266899 : Epoch  9, Batch     16, Loss  0.770754, Average Loss  0.769358, Time  0.486683
2021-09-23 01:10:06.305107 : Epoch  8, Batch    671, Loss  0.774324, Average Loss  0.770569, Time  0.445218
2021-09-23 01:10:06.757617 : Epoch  4, Batch    700, Loss  0.857582, Average Loss  0.870684, Time  0.413451
2021-09-23 01:10:08.389074 : Epoch  9, Batch     17, Loss  0.774029, Average Loss  0.769380, Time  0.501281
2021-09-23 01:10:08.426960 : Epoch  8, Batch    672, Loss  0.765767, Average Loss  0.770509, Time  0.457798
2021-09-23 01:10:10.558909 : Epoch  9, Batch     18, Loss  0.772741, Average Loss  0.769413, Time  0.512541
2021-09-23 01:10:10.605974 : Epoch  8, Batch    673, Loss  0.770474, Average Loss  0.770484, Time  0.497690
2021-09-23 01:10:11.733798 : Epoch  4, Batch    701, Loss  0.880257, Average Loss  0.870734, Time  0.414368
2021-09-23 01:10:12.651794 : Epoch  9, Batch     19, Loss  0.774252, Average Loss  0.769401, Time  0.467196
2021-09-23 01:10:12.689981 : Epoch  8, Batch    674, Loss  0.769805, Average Loss  0.770488, Time  0.433681
2021-09-23 01:10:14.757396 : Epoch  9, Batch     20, Loss  0.779287, Average Loss  0.769502, Time  0.484175
2021-09-23 01:10:14.792598 : Epoch  8, Batch    675, Loss  0.786206, Average Loss  0.770580, Time  0.448738
2021-09-23 01:10:16.720000 : Epoch  4, Batch    702, Loss  0.868310, Average Loss  0.870708, Time  0.414544
2021-09-23 01:10:16.862317 : Epoch  9, Batch     21, Loss  0.754829, Average Loss  0.769442, Time  0.494624
2021-09-23 01:10:16.886863 : Epoch  8, Batch    676, Loss  0.776346, Average Loss  0.770645, Time  0.455486
2021-09-23 01:10:18.956754 : Epoch  9, Batch     22, Loss  0.765427, Average Loss  0.769340, Time  0.486356
2021-09-23 01:10:19.000864 : Epoch  8, Batch    677, Loss  0.756256, Average Loss  0.770594, Time  0.457709
2021-09-23 01:10:21.056802 : Epoch  9, Batch     23, Loss  0.767964, Average Loss  0.769319, Time  0.471594
2021-09-23 01:10:21.104386 : Epoch  8, Batch    678, Loss  0.756775, Average Loss  0.770514, Time  0.442116
2021-09-23 01:10:21.741006 : Epoch  4, Batch    703, Loss  0.865368, Average Loss  0.870712, Time  0.413706
2021-09-23 01:10:23.147443 : Epoch  9, Batch     24, Loss  0.784521, Average Loss  0.769400, Time  0.469637
2021-09-23 01:10:23.198336 : Epoch  8, Batch    679, Loss  0.773933, Average Loss  0.770526, Time  0.436887
2021-09-23 01:10:25.284230 : Epoch  9, Batch     25, Loss  0.765031, Average Loss  0.769360, Time  0.486377
2021-09-23 01:10:25.321578 : Epoch  8, Batch    680, Loss  0.775056, Average Loss  0.770541, Time  0.454067
2021-09-23 01:10:26.726877 : Epoch  4, Batch    704, Loss  0.871722, Average Loss  0.870704, Time  0.415230
2021-09-23 01:10:27.471698 : Epoch  8, Batch    681, Loss  0.764983, Average Loss  0.770487, Time  0.513167
2021-09-23 01:10:27.503150 : Epoch  9, Batch     26, Loss  0.785738, Average Loss  0.769445, Time  0.518981
2021-09-23 01:10:29.630594 : Epoch  9, Batch     27, Loss  0.762580, Average Loss  0.769421, Time  0.505579
2021-09-23 01:10:29.669102 : Epoch  8, Batch    682, Loss  0.777301, Average Loss  0.770547, Time  0.489213
2021-09-23 01:10:31.716015 : Epoch  9, Batch     28, Loss  0.766740, Average Loss  0.769404, Time  0.448218
2021-09-23 01:10:31.731754 : Epoch  4, Batch    705, Loss  0.874506, Average Loss  0.870698, Time  0.413565
2021-09-23 01:10:31.782674 : Epoch  8, Batch    683, Loss  0.761948, Average Loss  0.770505, Time  0.420762
2021-09-23 01:10:33.797863 : Epoch  9, Batch     29, Loss  0.768044, Average Loss  0.769304, Time  0.452507
2021-09-23 01:10:33.858044 : Epoch  8, Batch    684, Loss  0.765128, Average Loss  0.770495, Time  0.417978
2021-09-23 01:10:35.920708 : Epoch  9, Batch     30, Loss  0.764007, Average Loss  0.769292, Time  0.471728
2021-09-23 01:10:35.966723 : Epoch  8, Batch    685, Loss  0.773060, Average Loss  0.770539, Time  0.443671
2021-09-23 01:10:36.732754 : Epoch  4, Batch    706, Loss  0.879951, Average Loss  0.870775, Time  0.415718
2021-09-23 01:10:38.014772 : Epoch  9, Batch     31, Loss  0.786522, Average Loss  0.769411, Time  0.465334
2021-09-23 01:10:38.067257 : Epoch  8, Batch    686, Loss  0.762738, Average Loss  0.770557, Time  0.434273
2021-09-23 01:10:40.134348 : Epoch  9, Batch     32, Loss  0.770600, Average Loss  0.769401, Time  0.479659
2021-09-23 01:10:40.174254 : Epoch  8, Batch    687, Loss  0.761856, Average Loss  0.770546, Time  0.451488
2021-09-23 01:10:41.756719 : Epoch  4, Batch    707, Loss  0.867227, Average Loss  0.870753, Time  0.414328
2021-09-23 01:10:42.214838 : Epoch  9, Batch     33, Loss  0.764529, Average Loss  0.769292, Time  0.467623
2021-09-23 01:10:42.270681 : Epoch  8, Batch    688, Loss  0.771390, Average Loss  0.770614, Time  0.441756
2021-09-23 01:10:44.298753 : Epoch  9, Batch     34, Loss  0.768256, Average Loss  0.769251, Time  0.448324
2021-09-23 01:10:44.366952 : Epoch  8, Batch    689, Loss  0.765869, Average Loss  0.770632, Time  0.419933
2021-09-23 01:10:46.371024 : Epoch  9, Batch     35, Loss  0.765534, Average Loss  0.769255, Time  0.453637
2021-09-23 01:10:46.434122 : Epoch  8, Batch    690, Loss  0.768723, Average Loss  0.770597, Time  0.423166
2021-09-23 01:10:46.806607 : Epoch  4, Batch    708, Loss  0.879721, Average Loss  0.870718, Time  0.452342
2021-09-23 01:10:48.473901 : Epoch  9, Batch     36, Loss  0.766065, Average Loss  0.769258, Time  0.472018
2021-09-23 01:10:48.530487 : Epoch  8, Batch    691, Loss  0.766946, Average Loss  0.770566, Time  0.440530
2021-09-23 01:10:50.363110 : Epoch  9, Batch     37, Loss  0.765027, Average Loss  0.769227, Time  0.257045
2021-09-23 01:10:51.782960 : Epoch  4, Batch    709, Loss  0.862200, Average Loss  0.870607, Time  0.413052
2021-09-23 01:10:52.283975 : Epoch  9, Batch     38, Loss  0.765432, Average Loss  0.769225, Time  0.299250
2021-09-23 01:10:54.172010 : Epoch  9, Batch     39, Loss  0.775426, Average Loss  0.769231, Time  0.248524
2021-09-23 01:10:56.023005 : Epoch  9, Batch     40, Loss  0.765936, Average Loss  0.769195, Time  0.248924
2021-09-23 01:10:56.849037 : Epoch  4, Batch    710, Loss  0.874737, Average Loss  0.870605, Time  0.413328
2021-09-23 01:10:57.899083 : Epoch  9, Batch     41, Loss  0.770056, Average Loss  0.769200, Time  0.252945
2021-09-23 01:10:59.776043 : Epoch  9, Batch     42, Loss  0.763700, Average Loss  0.769205, Time  0.250469
2021-09-23 01:11:01.640184 : Epoch  9, Batch     43, Loss  0.764510, Average Loss  0.769205, Time  0.250407
2021-09-23 01:11:01.822002 : Epoch  4, Batch    711, Loss  0.872682, Average Loss  0.870598, Time  0.414044
2021-09-23 01:11:03.523862 : Epoch  9, Batch     44, Loss  0.770878, Average Loss  0.769230, Time  0.255204
2021-09-23 01:11:05.481897 : Epoch  9, Batch     45, Loss  0.748895, Average Loss  0.769121, Time  0.325746
2021-09-23 01:11:06.787755 : Epoch  4, Batch    712, Loss  0.857532, Average Loss  0.870487, Time  0.413206
2021-09-23 01:11:07.350566 : Epoch  9, Batch     46, Loss  0.777445, Average Loss  0.769191, Time  0.247996
2021-09-23 01:11:09.224474 : Epoch  9, Batch     47, Loss  0.787085, Average Loss  0.769273, Time  0.251760
2021-09-23 01:11:11.077863 : Epoch  9, Batch     48, Loss  0.764802, Average Loss  0.769245, Time  0.250669
2021-09-23 01:11:11.766454 : Epoch  4, Batch    713, Loss  0.870333, Average Loss  0.870496, Time  0.413472
2021-09-23 01:11:12.973003 : Epoch  9, Batch     49, Loss  0.777281, Average Loss  0.769219, Time  0.250568
2021-09-23 01:11:14.843762 : Epoch  9, Batch     50, Loss  0.763898, Average Loss  0.769190, Time  0.253164
2021-09-23 01:11:16.714206 : Epoch  9, Batch     51, Loss  0.772253, Average Loss  0.769250, Time  0.247691
2021-09-23 01:11:16.738933 : Epoch  4, Batch    714, Loss  0.865332, Average Loss  0.870507, Time  0.414203
2021-09-23 01:11:18.587883 : Epoch  9, Batch     52, Loss  0.761047, Average Loss  0.769196, Time  0.250299
2021-09-23 01:11:20.531215 : Epoch  9, Batch     53, Loss  0.763293, Average Loss  0.769131, Time  0.325965
2021-09-23 01:11:21.729031 : Epoch  4, Batch    715, Loss  0.865349, Average Loss  0.870470, Time  0.413816
2021-09-23 01:11:22.413159 : Epoch  9, Batch     54, Loss  0.784183, Average Loss  0.769201, Time  0.257134
2021-09-23 01:11:24.301580 : Epoch  9, Batch     55, Loss  0.762091, Average Loss  0.769195, Time  0.256141
2021-09-23 01:11:26.188090 : Epoch  9, Batch     56, Loss  0.770156, Average Loss  0.769187, Time  0.250424
2021-09-23 01:11:26.701038 : Epoch  4, Batch    716, Loss  0.861796, Average Loss  0.870359, Time  0.413390
2021-09-23 01:11:28.047153 : Epoch  9, Batch     57, Loss  0.777526, Average Loss  0.769254, Time  0.249068
2021-09-23 01:11:29.924959 : Epoch  9, Batch     58, Loss  0.771755, Average Loss  0.769227, Time  0.250012
2021-09-23 01:11:31.811589 : Epoch  9, Batch     59, Loss  0.773429, Average Loss  0.769225, Time  0.256389
2021-09-23 01:11:33.691948 : Epoch  9, Batch     60, Loss  0.779009, Average Loss  0.769307, Time  0.255899
2021-09-23 01:11:35.638610 : Epoch  9, Batch     61, Loss  0.776531, Average Loss  0.769382, Time  0.328069
2021-09-23 01:11:37.544978 : Epoch  9, Batch     62, Loss  0.761886, Average Loss  0.769317, Time  0.263966
2021-09-23 01:11:39.429506 : Epoch  9, Batch     63, Loss  0.765479, Average Loss  0.769317, Time  0.252990
2021-09-23 01:11:41.305919 : Epoch  9, Batch     64, Loss  0.761653, Average Loss  0.769245, Time  0.250738
2021-09-23 01:11:43.171613 : Epoch  9, Batch     65, Loss  0.767215, Average Loss  0.769224, Time  0.248913
2021-09-23 01:11:45.063090 : Epoch  9, Batch     66, Loss  0.773119, Average Loss  0.769230, Time  0.268205
2021-09-23 01:11:46.933466 : Epoch  9, Batch     67, Loss  0.770950, Average Loss  0.769213, Time  0.248863
2021-09-23 01:11:48.872200 : Epoch  9, Batch     68, Loss  0.776095, Average Loss  0.769273, Time  0.323949
2021-09-23 01:11:50.747433 : Epoch  9, Batch     69, Loss  0.762416, Average Loss  0.769283, Time  0.251473
2021-09-23 01:11:52.616422 : Epoch  9, Batch     70, Loss  0.767526, Average Loss  0.769326, Time  0.249377
2021-09-23 01:11:54.498888 : Epoch  9, Batch     71, Loss  0.766210, Average Loss  0.769292, Time  0.255018
2021-09-23 01:11:56.370576 : Epoch  9, Batch     72, Loss  0.771676, Average Loss  0.769318, Time  0.249467
2021-09-23 01:11:58.259213 : Epoch  9, Batch     73, Loss  0.783409, Average Loss  0.769386, Time  0.253432
2021-09-23 01:11:59.341557 : CheckPoint: Validation Loss  0.00031797, Best Loss  0.00030514
2021-09-23 01:12:00.137124 : Epoch  9, Batch     74, Loss  0.776544, Average Loss  0.769384, Time  0.250506
2021-09-23 01:12:01.242100 : Epoch  8, Batch    692, Loss  0.759739, Average Loss  0.770572, Time  0.262133
2021-09-23 01:12:03.159330 : Epoch  8, Batch    693, Loss  0.774260, Average Loss  0.770603, Time  0.262740
2021-09-23 01:12:03.876286 : Epoch  9, Batch     75, Loss  0.775820, Average Loss  0.769429, Time  0.250627
2021-09-23 01:12:05.055219 : Epoch  8, Batch    694, Loss  0.770844, Average Loss  0.770599, Time  0.251595
2021-09-23 01:12:05.738676 : Epoch  9, Batch     76, Loss  0.777048, Average Loss  0.769449, Time  0.248703
2021-09-23 01:12:06.946203 : Epoch  8, Batch    695, Loss  0.764887, Average Loss  0.770537, Time  0.252661
2021-09-23 01:12:07.611311 : Epoch  9, Batch     77, Loss  0.770382, Average Loss  0.769460, Time  0.249752
2021-09-23 01:12:08.843009 : Epoch  8, Batch    696, Loss  0.766075, Average Loss  0.770484, Time  0.252738
2021-09-23 01:12:09.467170 : Epoch  9, Batch     78, Loss  0.767055, Average Loss  0.769485, Time  0.248564
2021-09-23 01:12:10.772798 : Epoch  8, Batch    697, Loss  0.759927, Average Loss  0.770405, Time  0.251746
2021-09-23 01:12:11.362232 : Epoch  9, Batch     79, Loss  0.770049, Average Loss  0.769481, Time  0.249216
2021-09-23 01:12:12.678369 : Epoch  8, Batch    698, Loss  0.761289, Average Loss  0.770360, Time  0.251841
2021-09-23 01:12:13.255225 : Epoch  9, Batch     80, Loss  0.761251, Average Loss  0.769468, Time  0.251942
2021-09-23 01:12:14.574977 : Epoch  8, Batch    699, Loss  0.757430, Average Loss  0.770344, Time  0.253496
2021-09-23 01:12:15.129027 : Epoch  9, Batch     81, Loss  0.756519, Average Loss  0.769461, Time  0.250764
2021-09-23 01:12:16.499741 : Epoch  8, Batch    700, Loss  0.770378, Average Loss  0.770354, Time  0.258012
2021-09-23 01:12:17.009807 : Epoch  9, Batch     82, Loss  0.763805, Average Loss  0.769451, Time  0.251968
2021-09-23 01:12:18.402898 : Epoch  8, Batch    701, Loss  0.763937, Average Loss  0.770349, Time  0.253802
2021-09-23 01:12:18.885755 : Epoch  9, Batch     83, Loss  0.769494, Average Loss  0.769442, Time  0.251625
2021-09-23 01:12:20.316297 : Epoch  8, Batch    702, Loss  0.756632, Average Loss  0.770283, Time  0.253309
2021-09-23 01:12:20.765713 : Epoch  9, Batch     84, Loss  0.767890, Average Loss  0.769463, Time  0.250532
2021-09-23 01:12:22.222268 : Epoch  8, Batch    703, Loss  0.770970, Average Loss  0.770273, Time  0.255756
2021-09-23 01:12:22.631952 : Epoch  9, Batch     85, Loss  0.759573, Average Loss  0.769397, Time  0.252350
2021-09-23 01:12:24.192412 : Epoch  8, Batch    704, Loss  0.773427, Average Loss  0.770253, Time  0.257061
2021-09-23 01:12:24.513915 : Epoch  9, Batch     86, Loss  0.772756, Average Loss  0.769412, Time  0.249135
2021-09-23 01:12:26.075631 : Epoch  8, Batch    705, Loss  0.777712, Average Loss  0.770296, Time  0.251326
2021-09-23 01:12:26.430692 : Epoch  9, Batch     87, Loss  0.782442, Average Loss  0.769527, Time  0.257982
2021-09-23 01:12:27.982081 : Epoch  8, Batch    706, Loss  0.771783, Average Loss  0.770284, Time  0.262912
2021-09-23 01:12:28.299186 : Epoch  9, Batch     88, Loss  0.767326, Average Loss  0.769467, Time  0.254612
2021-09-23 01:12:29.877951 : Epoch  8, Batch    707, Loss  0.769964, Average Loss  0.770275, Time  0.252512
2021-09-23 01:12:30.186745 : Epoch  9, Batch     89, Loss  0.773331, Average Loss  0.769551, Time  0.253476
2021-09-23 01:12:31.783611 : Epoch  8, Batch    708, Loss  0.758164, Average Loss  0.770220, Time  0.253788
2021-09-23 01:12:32.048021 : Epoch  9, Batch     90, Loss  0.765299, Average Loss  0.769557, Time  0.248785
2021-09-23 01:12:33.688411 : Epoch  8, Batch    709, Loss  0.773122, Average Loss  0.770229, Time  0.252457
2021-09-23 01:12:33.929774 : Epoch  9, Batch     91, Loss  0.782648, Average Loss  0.769652, Time  0.252503
2021-09-23 01:12:35.673438 : Epoch  8, Batch    710, Loss  0.764723, Average Loss  0.770149, Time  0.333860
2021-09-23 01:12:35.834868 : Epoch  9, Batch     92, Loss  0.769047, Average Loss  0.769685, Time  0.293223
2021-09-23 01:12:37.713381 : Epoch  8, Batch    711, Loss  0.765617, Average Loss  0.770148, Time  0.393955
2021-09-23 01:12:37.830861 : Epoch  9, Batch     93, Loss  0.762422, Average Loss  0.769602, Time  0.365928
2021-09-23 01:12:39.849890 : Epoch  8, Batch    712, Loss  0.770563, Average Loss  0.770141, Time  0.485346
2021-09-23 01:12:39.891915 : Epoch  9, Batch     94, Loss  0.772218, Average Loss  0.769653, Time  0.449158
2021-09-23 01:12:42.008032 : Epoch  8, Batch    713, Loss  0.774448, Average Loss  0.770151, Time  0.514771
2021-09-23 01:12:42.037806 : Epoch  9, Batch     95, Loss  0.771764, Average Loss  0.769657, Time  0.502919
2021-09-23 01:12:44.163902 : Epoch  8, Batch    714, Loss  0.744970, Average Loss  0.770034, Time  0.517261
2021-09-23 01:12:44.195022 : Epoch  9, Batch     96, Loss  0.774444, Average Loss  0.769722, Time  0.507618
2021-09-23 01:12:46.320686 : Epoch  9, Batch     97, Loss  0.775340, Average Loss  0.769681, Time  0.514606
2021-09-23 01:12:46.351059 : Epoch  8, Batch    715, Loss  0.766750, Average Loss  0.770035, Time  0.516241
2021-09-23 01:12:48.478287 : Epoch  9, Batch     98, Loss  0.765003, Average Loss  0.769640, Time  0.504197
2021-09-23 01:12:48.507819 : Epoch  8, Batch    716, Loss  0.768527, Average Loss  0.770010, Time  0.490458
2021-09-23 01:12:50.601906 : Epoch  9, Batch     99, Loss  0.766852, Average Loss  0.769656, Time  0.501109
2021-09-23 01:12:50.631869 : Epoch  8, Batch    717, Loss  0.766354, Average Loss  0.769973, Time  0.477149
2021-09-23 01:12:52.701785 : Epoch  9, Batch    100, Loss  0.757526, Average Loss  0.769615, Time  0.492602
2021-09-23 01:12:52.737540 : Epoch  8, Batch    718, Loss  0.774556, Average Loss  0.770048, Time  0.462071
2021-09-23 01:12:54.804244 : Epoch  9, Batch    101, Loss  0.779452, Average Loss  0.769635, Time  0.490094
2021-09-23 01:12:54.835798 : Epoch  8, Batch    719, Loss  0.762474, Average Loss  0.770005, Time  0.457354
2021-09-23 01:12:56.921811 : Epoch  9, Batch    102, Loss  0.764910, Average Loss  0.769560, Time  0.495018
2021-09-23 01:12:56.953475 : Epoch  8, Batch    720, Loss  0.769498, Average Loss  0.769944, Time  0.481542
2021-09-23 01:12:59.079792 : Epoch  9, Batch    103, Loss  0.771457, Average Loss  0.769534, Time  0.506013
2021-09-23 01:12:59.110432 : Epoch  8, Batch    721, Loss  0.765306, Average Loss  0.769905, Time  0.489102
2021-09-23 01:13:01.209535 : Epoch  9, Batch    104, Loss  0.774657, Average Loss  0.769489, Time  0.502386
2021-09-23 01:13:01.242050 : Epoch  8, Batch    722, Loss  0.773909, Average Loss  0.769885, Time  0.486782
2021-09-23 01:13:03.153910 : Epoch  8, Batch    723, Loss  0.771467, Average Loss  0.769855, Time  0.253982
2021-09-23 01:13:05.068777 : Epoch  8, Batch    724, Loss  0.784190, Average Loss  0.769939, Time  0.255314
2021-09-23 01:13:06.974021 : Epoch  8, Batch    725, Loss  0.766186, Average Loss  0.769941, Time  0.252750
2021-09-23 01:13:08.877379 : Epoch  8, Batch    726, Loss  0.759155, Average Loss  0.769899, Time  0.251102
2021-09-23 01:13:10.789280 : Epoch  8, Batch    727, Loss  0.771370, Average Loss  0.769890, Time  0.257240
2021-09-23 01:13:12.686784 : Epoch  8, Batch    728, Loss  0.786599, Average Loss  0.769973, Time  0.253561
2021-09-23 01:13:14.666837 : Epoch  8, Batch    729, Loss  0.753872, Average Loss  0.769893, Time  0.327110
2021-09-23 01:13:16.584569 : Epoch  8, Batch    730, Loss  0.775866, Average Loss  0.769902, Time  0.253925
2021-09-23 01:13:18.484699 : Epoch  8, Batch    731, Loss  0.781005, Average Loss  0.769976, Time  0.252624
2021-09-23 01:13:20.398452 : Epoch  8, Batch    732, Loss  0.767142, Average Loss  0.769906, Time  0.257937
2021-09-23 01:13:22.304326 : Epoch  8, Batch    733, Loss  0.773734, Average Loss  0.769911, Time  0.253031
2021-09-23 01:13:24.204767 : Epoch  8, Batch    734, Loss  0.764291, Average Loss  0.769902, Time  0.252444
2021-09-23 01:13:26.196042 : Epoch  8, Batch    735, Loss  0.759983, Average Loss  0.769865, Time  0.327662
2021-09-23 01:13:28.100504 : Epoch  8, Batch    736, Loss  0.767547, Average Loss  0.769861, Time  0.257283
2021-09-23 01:13:29.996188 : Epoch  8, Batch    737, Loss  0.767140, Average Loss  0.769857, Time  0.254614
2021-09-23 01:13:31.916011 : Epoch  8, Batch    738, Loss  0.773200, Average Loss  0.769894, Time  0.264035
2021-09-23 01:13:33.822261 : Epoch  8, Batch    739, Loss  0.764081, Average Loss  0.769857, Time  0.253848
2021-09-23 01:13:35.711850 : Epoch  8, Batch    740, Loss  0.764364, Average Loss  0.769833, Time  0.254218
2021-09-23 01:13:37.610946 : Epoch  8, Batch    741, Loss  0.762232, Average Loss  0.769779, Time  0.251915
2021-09-23 01:13:39.560911 : Epoch  8, Batch    742, Loss  0.780809, Average Loss  0.769839, Time  0.307550
2021-09-23 01:13:41.466395 : Epoch  8, Batch    743, Loss  0.780258, Average Loss  0.769871, Time  0.251915
2021-09-23 01:13:43.382022 : Epoch  8, Batch    744, Loss  0.765415, Average Loss  0.769848, Time  0.267779
2021-09-23 01:13:45.403839 : Epoch  8, Batch    745, Loss  0.782520, Average Loss  0.769974, Time  0.251960
2021-09-23 01:13:47.318640 : Epoch  8, Batch    746, Loss  0.773640, Average Loss  0.770027, Time  0.256607
2021-09-23 01:13:49.311415 : Epoch  8, Batch    747, Loss  0.774847, Average Loss  0.770064, Time  0.326800
2021-09-23 01:13:51.203257 : Epoch  8, Batch    748, Loss  0.773830, Average Loss  0.770064, Time  0.251446
2021-09-23 01:13:53.096940 : Epoch  8, Batch    749, Loss  0.769892, Average Loss  0.770033, Time  0.252216
2021-09-23 01:13:55.013864 : Epoch  8, Batch    750, Loss  0.772784, Average Loss  0.770027, Time  0.252393
2021-09-23 01:13:56.919007 : Epoch  8, Batch    751, Loss  0.767148, Average Loss  0.769994, Time  0.251439
2021-09-23 01:13:58.821707 : Epoch  8, Batch    752, Loss  0.769710, Average Loss  0.769976, Time  0.251195
2021-09-23 01:14:00.843259 : Epoch  8, Batch    753, Loss  0.773306, Average Loss  0.769913, Time  0.325870
2021-09-23 01:14:02.741259 : Epoch  8, Batch    754, Loss  0.782891, Average Loss  0.770006, Time  0.251500
2021-09-23 01:14:04.649981 : Epoch  8, Batch    755, Loss  0.771889, Average Loss  0.770020, Time  0.255472
2021-09-23 01:14:06.536791 : Epoch  8, Batch    756, Loss  0.772740, Average Loss  0.770005, Time  0.252893
2021-09-23 01:14:08.435659 : Epoch  8, Batch    757, Loss  0.772503, Average Loss  0.769975, Time  0.252217
2021-09-23 01:14:10.356213 : Epoch  8, Batch    758, Loss  0.763346, Average Loss  0.769962, Time  0.254224
2021-09-23 01:14:11.210649 : CheckPoint: Validation Loss  0.00030960, Best Loss  0.00030606
2021-09-23 01:14:12.269548 : Epoch  8, Batch    759, Loss  0.763708, Average Loss  0.769917, Time  0.251977
2021-09-23 01:14:13.113864 : Epoch  9, Batch    105, Loss  0.763689, Average Loss  0.769409, Time  0.248896
2021-09-23 01:14:14.180277 : Epoch  8, Batch    760, Loss  0.774795, Average Loss  0.769926, Time  0.251763
2021-09-23 01:14:15.001226 : Epoch  9, Batch    106, Loss  0.772291, Average Loss  0.769393, Time  0.251794
2021-09-23 01:14:16.091404 : Epoch  8, Batch    761, Loss  0.774675, Average Loss  0.769896, Time  0.255152
2021-09-23 01:14:16.936447 : Epoch  9, Batch    107, Loss  0.764791, Average Loss  0.769338, Time  0.259270
2021-09-23 01:14:18.834856 : Epoch  9, Batch    108, Loss  0.769574, Average Loss  0.769396, Time  0.250161
2021-09-23 01:14:19.825262 : Epoch  8, Batch    762, Loss  0.767488, Average Loss  0.769882, Time  0.254824
2021-09-23 01:14:20.754945 : Epoch  9, Batch    109, Loss  0.776243, Average Loss  0.769343, Time  0.256500
2021-09-23 01:14:21.749082 : Epoch  8, Batch    763, Loss  0.771648, Average Loss  0.769857, Time  0.262277
2021-09-23 01:14:21.941809 : Epoch  8, Batch    764, Loss  0.899181, Average Loss  0.770495, Time  0.128412
2021-09-23 01:14:22.652153 : Epoch  9, Batch    110, Loss  0.762173, Average Loss  0.769338, Time  0.262784
2021-09-23 01:14:23.847093 : Epoch  8, Batch    765, Loss  0.777152, Average Loss  0.770533, Time  0.271292
2021-09-23 01:14:24.537281 : Epoch  9, Batch    111, Loss  0.771033, Average Loss  0.769380, Time  0.247936
2021-09-23 01:14:25.738220 : Epoch  8, Batch    766, Loss  0.766631, Average Loss  0.770526, Time  0.253333
2021-09-23 01:14:26.421966 : Epoch  9, Batch    112, Loss  0.771513, Average Loss  0.769349, Time  0.250563
2021-09-23 01:14:27.622322 : Epoch  8, Batch    767, Loss  0.780042, Average Loss  0.770552, Time  0.251634
2021-09-23 01:14:28.318995 : Epoch  9, Batch    113, Loss  0.780064, Average Loss  0.769450, Time  0.251887
2021-09-23 01:14:29.516427 : Epoch  8, Batch    768, Loss  0.764656, Average Loss  0.770570, Time  0.251684
2021-09-23 01:14:30.200270 : Epoch  9, Batch    114, Loss  0.753184, Average Loss  0.769370, Time  0.251873
2021-09-23 01:14:31.423672 : Epoch  8, Batch    769, Loss  0.776095, Average Loss  0.770616, Time  0.255871
2021-09-23 01:14:32.095380 : Epoch  9, Batch    115, Loss  0.761909, Average Loss  0.769339, Time  0.253369
2021-09-23 01:14:33.351181 : Epoch  8, Batch    770, Loss  0.773582, Average Loss  0.770573, Time  0.259485
2021-09-23 01:14:33.991281 : Epoch  9, Batch    116, Loss  0.766716, Average Loss  0.769381, Time  0.248677
2021-09-23 01:14:35.264154 : Epoch  8, Batch    771, Loss  0.776547, Average Loss  0.770590, Time  0.253612
2021-09-23 01:14:35.879945 : Epoch  9, Batch    117, Loss  0.786963, Average Loss  0.769484, Time  0.249720
2021-09-23 01:14:37.169813 : Epoch  8, Batch    772, Loss  0.765758, Average Loss  0.770553, Time  0.256348
2021-09-23 01:14:37.777952 : Epoch  9, Batch    118, Loss  0.776606, Average Loss  0.769564, Time  0.250612
2021-09-23 01:14:39.079946 : Epoch  8, Batch    773, Loss  0.772821, Average Loss  0.770587, Time  0.257583
2021-09-23 01:14:39.674842 : Epoch  9, Batch    119, Loss  0.763003, Average Loss  0.769586, Time  0.251172
2021-09-23 01:14:40.996491 : Epoch  8, Batch    774, Loss  0.778077, Average Loss  0.770636, Time  0.251910
2021-09-23 01:14:41.549496 : Epoch  9, Batch    120, Loss  0.772060, Average Loss  0.769618, Time  0.250566
2021-09-23 01:14:42.907279 : Epoch  8, Batch    775, Loss  0.766596, Average Loss  0.770635, Time  0.251336
2021-09-23 01:14:43.455691 : Epoch  9, Batch    121, Loss  0.758386, Average Loss  0.769596, Time  0.253945
2021-09-23 01:14:44.804364 : Epoch  8, Batch    776, Loss  0.766142, Average Loss  0.770695, Time  0.255409
2021-09-23 01:14:45.424170 : Epoch  9, Batch    122, Loss  0.778643, Average Loss  0.769687, Time  0.263645
2021-09-23 01:14:46.691493 : Epoch  8, Batch    777, Loss  0.770361, Average Loss  0.770727, Time  0.251624
2021-09-23 01:14:47.315273 : Epoch  9, Batch    123, Loss  0.780771, Average Loss  0.769702, Time  0.250278
2021-09-23 01:14:48.583875 : Epoch  8, Batch    778, Loss  0.774826, Average Loss  0.770736, Time  0.251176
2021-09-23 01:14:49.216976 : Epoch  9, Batch    124, Loss  0.777380, Average Loss  0.769742, Time  0.262378
2021-09-23 01:14:50.495853 : Epoch  8, Batch    779, Loss  0.784231, Average Loss  0.770802, Time  0.260983
2021-09-23 01:14:51.117985 : Epoch  9, Batch    125, Loss  0.770262, Average Loss  0.769725, Time  0.251983
2021-09-23 01:14:52.412140 : Epoch  8, Batch    780, Loss  0.766648, Average Loss  0.770760, Time  0.254633
2021-09-23 01:14:53.025811 : Epoch  9, Batch    126, Loss  0.762644, Average Loss  0.769674, Time  0.254379
2021-09-23 01:14:54.313029 : Epoch  8, Batch    781, Loss  0.766239, Average Loss  0.770716, Time  0.253154
2021-09-23 01:14:54.911566 : Epoch  9, Batch    127, Loss  0.782371, Average Loss  0.769771, Time  0.250980
2021-09-23 01:14:56.211817 : Epoch  8, Batch    782, Loss  0.774192, Average Loss  0.770724, Time  0.251990
2021-09-23 01:14:56.803678 : Epoch  9, Batch    128, Loss  0.772463, Average Loss  0.769785, Time  0.252758
2021-09-23 01:14:58.114975 : Epoch  8, Batch    783, Loss  0.774250, Average Loss  0.770748, Time  0.256325
2021-09-23 01:14:58.674189 : Epoch  9, Batch    129, Loss  0.764349, Average Loss  0.769746, Time  0.247801
2021-09-23 01:15:00.015523 : Epoch  8, Batch    784, Loss  0.778049, Average Loss  0.770791, Time  0.256525
2021-09-23 01:15:00.568005 : Epoch  9, Batch    130, Loss  0.773628, Average Loss  0.769783, Time  0.249992
2021-09-23 01:15:01.925835 : Epoch  8, Batch    785, Loss  0.776461, Average Loss  0.770836, Time  0.257893
2021-09-23 01:15:02.453529 : Epoch  9, Batch    131, Loss  0.760523, Average Loss  0.769765, Time  0.249160
2021-09-23 01:15:03.821588 : Epoch  8, Batch    786, Loss  0.760208, Average Loss  0.770761, Time  0.251354
2021-09-23 01:15:04.332089 : Epoch  9, Batch    132, Loss  0.768152, Average Loss  0.769722, Time  0.251535
2021-09-23 01:15:05.723909 : Epoch  8, Batch    787, Loss  0.770906, Average Loss  0.770821, Time  0.252634
2021-09-23 01:15:05.776640 : Saving Model after 8-th Epoch.
2021-09-23 01:15:06.216271 : Epoch  9, Batch    133, Loss  0.775094, Average Loss  0.769772, Time  0.252308
2021-09-23 01:15:06.623428 : Epoch Finished.
2021-09-23 01:15:08.449672 : Batch Shuffled
2021-09-23 01:15:08.492981 : Epoch  9, Batch    134, Loss  0.764777, Average Loss  0.769752, Time  0.251390
2021-09-23 01:15:10.617437 : Epoch  9, Batch      1, Loss  0.769570, Average Loss  0.770839, Time  0.513230
2021-09-23 01:15:10.651731 : Epoch  9, Batch    135, Loss  0.765572, Average Loss  0.769746, Time  0.492660
2021-09-23 01:15:12.754994 : Epoch  9, Batch      2, Loss  0.772027, Average Loss  0.770852, Time  0.502756
2021-09-23 01:15:12.802472 : Epoch  9, Batch    136, Loss  0.765946, Average Loss  0.769698, Time  0.490950
2021-09-23 01:15:14.911440 : Epoch  9, Batch      3, Loss  0.774198, Average Loss  0.770846, Time  0.503947
2021-09-23 01:15:14.955155 : Epoch  9, Batch    137, Loss  0.770268, Average Loss  0.769701, Time  0.475667
2021-09-23 01:15:17.067686 : Epoch  9, Batch      4, Loss  0.764062, Average Loss  0.770804, Time  0.513554
2021-09-23 01:15:17.106961 : Epoch  9, Batch    138, Loss  0.775162, Average Loss  0.769711, Time  0.492704
2021-09-23 01:15:19.022658 : Epoch  9, Batch    139, Loss  0.761941, Average Loss  0.769695, Time  0.250959
2021-09-23 01:15:20.887104 : Epoch  9, Batch    140, Loss  0.776717, Average Loss  0.769763, Time  0.247611
2021-09-23 01:15:22.769019 : Epoch  9, Batch    141, Loss  0.780207, Average Loss  0.769851, Time  0.249020
2021-09-23 01:15:22.895742 : CheckPoint: Validation Loss  0.00014826, Best Loss  0.00014643
2021-09-23 01:15:24.649055 : Epoch  9, Batch    142, Loss  0.785946, Average Loss  0.769956, Time  0.251662
2021-09-23 01:15:26.532535 : Epoch  9, Batch    143, Loss  0.757298, Average Loss  0.769963, Time  0.248279
2021-09-23 01:15:27.914163 : Epoch  4, Batch    717, Loss  0.887963, Average Loss  0.870515, Time  0.460000
2021-09-23 01:15:28.411835 : Epoch  9, Batch    144, Loss  0.773756, Average Loss  0.769966, Time  0.250110
2021-09-23 01:15:30.277433 : Epoch  9, Batch    145, Loss  0.773994, Average Loss  0.770049, Time  0.250475
2021-09-23 01:15:32.233845 : Epoch  9, Batch    146, Loss  0.776594, Average Loss  0.770038, Time  0.323708
2021-09-23 01:15:32.916765 : Epoch  4, Batch    718, Loss  0.857539, Average Loss  0.870452, Time  0.423742
2021-09-23 01:15:34.113578 : Epoch  9, Batch    147, Loss  0.768340, Average Loss  0.770007, Time  0.248494
2021-09-23 01:15:36.009818 : Epoch  9, Batch    148, Loss  0.769110, Average Loss  0.769942, Time  0.248951
2021-09-23 01:15:37.908155 : Epoch  9, Batch    149, Loss  0.772935, Average Loss  0.769960, Time  0.249102
2021-09-23 01:15:39.812725 : Epoch  9, Batch    150, Loss  0.783861, Average Loss  0.770008, Time  0.250482
2021-09-23 01:15:41.699414 : Epoch  9, Batch    151, Loss  0.767546, Average Loss  0.770021, Time  0.256715
2021-09-23 01:15:42.880770 : Epoch  4, Batch    720, Loss  0.869775, Average Loss  0.870418, Time  0.412919
2021-09-23 01:15:43.580729 : Epoch  9, Batch    152, Loss  0.772235, Average Loss  0.770030, Time  0.248251
2021-09-23 01:15:45.528355 : Epoch  9, Batch    153, Loss  0.778803, Average Loss  0.770145, Time  0.311339
2021-09-23 01:15:47.412524 : Epoch  9, Batch    154, Loss  0.765422, Average Loss  0.770084, Time  0.255563
2021-09-23 01:15:47.872939 : Epoch  4, Batch    721, Loss  0.880002, Average Loss  0.870397, Time  0.413857
2021-09-23 01:15:49.295487 : Epoch  9, Batch    155, Loss  0.756546, Average Loss  0.770028, Time  0.248549
2021-09-23 01:15:51.177844 : Epoch  9, Batch    156, Loss  0.773926, Average Loss  0.770062, Time  0.250038
2021-09-23 01:15:52.839932 : Epoch  4, Batch    722, Loss  0.867800, Average Loss  0.870375, Time  0.413398
2021-09-23 01:15:53.084305 : Epoch  9, Batch    157, Loss  0.775993, Average Loss  0.770102, Time  0.248761
2021-09-23 01:15:54.958278 : Epoch  9, Batch    158, Loss  0.768348, Average Loss  0.770126, Time  0.256643
2021-09-23 01:15:56.839855 : Epoch  9, Batch    159, Loss  0.769468, Average Loss  0.770188, Time  0.251982
2021-09-23 01:15:57.814737 : Epoch  4, Batch    723, Loss  0.865816, Average Loss  0.870400, Time  0.413433
2021-09-23 01:15:58.740951 : Epoch  9, Batch    160, Loss  0.756947, Average Loss  0.770131, Time  0.250167
2021-09-23 01:16:00.699917 : Epoch  9, Batch    161, Loss  0.761407, Average Loss  0.770088, Time  0.327062
2021-09-23 01:16:02.576857 : Epoch  9, Batch    162, Loss  0.774732, Average Loss  0.770044, Time  0.253914
2021-09-23 01:16:02.803008 : Epoch  4, Batch    724, Loss  0.871951, Average Loss  0.870392, Time  0.414657
2021-09-23 01:16:04.508483 : Epoch  9, Batch    163, Loss  0.777654, Average Loss  0.770074, Time  0.250700
2021-09-23 01:16:06.410903 : Epoch  9, Batch    164, Loss  0.778271, Average Loss  0.770086, Time  0.250051
2021-09-23 01:16:07.775008 : Epoch  4, Batch    725, Loss  0.860220, Average Loss  0.870298, Time  0.413764
2021-09-23 01:16:08.301857 : Epoch  9, Batch    165, Loss  0.779383, Average Loss  0.770131, Time  0.252317
2021-09-23 01:16:10.209980 : Epoch  9, Batch    166, Loss  0.773634, Average Loss  0.770169, Time  0.248408
2021-09-23 01:16:12.099114 : Epoch  9, Batch    167, Loss  0.781396, Average Loss  0.770199, Time  0.257885
2021-09-23 01:16:12.793162 : Epoch  4, Batch    726, Loss  0.868289, Average Loss  0.870280, Time  0.454181
2021-09-23 01:16:14.056418 : Epoch  9, Batch    168, Loss  0.772143, Average Loss  0.770239, Time  0.332873
2021-09-23 01:16:15.936529 : Epoch  9, Batch    169, Loss  0.774387, Average Loss  0.770277, Time  0.251113
2021-09-23 01:16:17.760918 : Epoch  4, Batch    727, Loss  0.867395, Average Loss  0.870263, Time  0.413244
2021-09-23 01:16:17.817217 : Epoch  9, Batch    170, Loss  0.767711, Average Loss  0.770275, Time  0.252104
2021-09-23 01:16:19.692670 : Epoch  9, Batch    171, Loss  0.775424, Average Loss  0.770285, Time  0.248878
2021-09-23 01:16:21.577090 : Epoch  9, Batch    172, Loss  0.763504, Average Loss  0.770262, Time  0.252132
2021-09-23 01:16:22.737746 : Epoch  4, Batch    728, Loss  0.872479, Average Loss  0.870318, Time  0.414032
2021-09-23 01:16:23.455717 : Epoch  9, Batch    173, Loss  0.778493, Average Loss  0.770318, Time  0.251819
2021-09-23 01:16:25.336044 : Epoch  9, Batch    174, Loss  0.772636, Average Loss  0.770316, Time  0.248811
2021-09-23 01:16:27.713745 : Epoch  4, Batch    729, Loss  0.881041, Average Loss  0.870410, Time  0.413343
2021-09-23 01:16:27.920200 : CheckPoint: Validation Loss  0.00032873, Best Loss  0.00030514
2021-09-23 01:16:29.016205 : Epoch  9, Batch    175, Loss  0.759800, Average Loss  0.770267, Time  0.249285
2021-09-23 01:16:29.797178 : Epoch  9, Batch      5, Loss  0.763338, Average Loss  0.770787, Time  0.253440
2021-09-23 01:16:30.898335 : Epoch  9, Batch    176, Loss  0.772820, Average Loss  0.770287, Time  0.248638
2021-09-23 01:16:31.685788 : Epoch  9, Batch      6, Loss  0.766120, Average Loss  0.770831, Time  0.254384
2021-09-23 01:16:32.684034 : Epoch  4, Batch    730, Loss  0.871134, Average Loss  0.870459, Time  0.413721
2021-09-23 01:16:32.832966 : Epoch  9, Batch    177, Loss  0.768675, Average Loss  0.770268, Time  0.259587
2021-09-23 01:16:33.576375 : Epoch  9, Batch      7, Loss  0.773390, Average Loss  0.770883, Time  0.256848
2021-09-23 01:16:34.701295 : Epoch  9, Batch    178, Loss  0.770446, Average Loss  0.770228, Time  0.247875
2021-09-23 01:16:35.460197 : Epoch  9, Batch      8, Loss  0.778611, Average Loss  0.770945, Time  0.256326
2021-09-23 01:16:36.606646 : Epoch  9, Batch    179, Loss  0.784512, Average Loss  0.770277, Time  0.259876
2021-09-23 01:16:37.420866 : Epoch  9, Batch      9, Loss  0.768117, Average Loss  0.770968, Time  0.254138
2021-09-23 01:16:37.653741 : Epoch  4, Batch    731, Loss  0.876255, Average Loss  0.870485, Time  0.413002
2021-09-23 01:16:38.504521 : Epoch  9, Batch    180, Loss  0.773701, Average Loss  0.770288, Time  0.251921
2021-09-23 01:16:39.330268 : Epoch  9, Batch     10, Loss  0.771432, Average Loss  0.770921, Time  0.254942
2021-09-23 01:16:40.397759 : Epoch  9, Batch    181, Loss  0.760198, Average Loss  0.770224, Time  0.252898
2021-09-23 01:16:41.224836 : Epoch  9, Batch     11, Loss  0.763950, Average Loss  0.770879, Time  0.256288
2021-09-23 01:16:42.276248 : Epoch  9, Batch    182, Loss  0.766145, Average Loss  0.770234, Time  0.251095
2021-09-23 01:16:42.628764 : Epoch  4, Batch    732, Loss  0.870006, Average Loss  0.870531, Time  0.413311
2021-09-23 01:16:43.137320 : Epoch  9, Batch     12, Loss  0.755633, Average Loss  0.770816, Time  0.251642
2021-09-23 01:16:44.174933 : Epoch  9, Batch    183, Loss  0.766664, Average Loss  0.770251, Time  0.251029
2021-09-23 01:16:45.020065 : Epoch  9, Batch     13, Loss  0.771061, Average Loss  0.770836, Time  0.251946
2021-09-23 01:16:46.069208 : Epoch  9, Batch    184, Loss  0.765860, Average Loss  0.770263, Time  0.248885
2021-09-23 01:16:46.904504 : Epoch  9, Batch     14, Loss  0.774930, Average Loss  0.770850, Time  0.252666
2021-09-23 01:16:47.620771 : Epoch  4, Batch    733, Loss  0.869097, Average Loss  0.870484, Time  0.413533
2021-09-23 01:16:47.947413 : Epoch  9, Batch    185, Loss  0.781297, Average Loss  0.770315, Time  0.250452
2021-09-23 01:16:48.794624 : Epoch  9, Batch     15, Loss  0.777981, Average Loss  0.770866, Time  0.260164
2021-09-23 01:16:49.822976 : Epoch  9, Batch    186, Loss  0.773299, Average Loss  0.770377, Time  0.253252
2021-09-23 01:16:50.729795 : Epoch  9, Batch     16, Loss  0.781178, Average Loss  0.770944, Time  0.252464
2021-09-23 01:16:51.714229 : Epoch  9, Batch    187, Loss  0.765348, Average Loss  0.770339, Time  0.251644
2021-09-23 01:16:52.589744 : Epoch  4, Batch    734, Loss  0.869866, Average Loss  0.870468, Time  0.413249
2021-09-23 01:16:52.651572 : Epoch  9, Batch     17, Loss  0.773630, Average Loss  0.770990, Time  0.257766
2021-09-23 01:16:53.581339 : Epoch  9, Batch    188, Loss  0.757559, Average Loss  0.770270, Time  0.250476
2021-09-23 01:16:54.557320 : Epoch  9, Batch     18, Loss  0.776069, Average Loss  0.771047, Time  0.259086
2021-09-23 01:16:55.456815 : Epoch  9, Batch    189, Loss  0.772505, Average Loss  0.770327, Time  0.247678
2021-09-23 01:16:56.486162 : Epoch  9, Batch     19, Loss  0.780008, Average Loss  0.771072, Time  0.269913
2021-09-23 01:16:57.355107 : Epoch  9, Batch    190, Loss  0.761351, Average Loss  0.770306, Time  0.258730
2021-09-23 01:16:57.564725 : Epoch  4, Batch    735, Loss  0.866074, Average Loss  0.870490, Time  0.413200
2021-09-23 01:16:58.389173 : Epoch  9, Batch     20, Loss  0.769614, Average Loss  0.771080, Time  0.252090
2021-09-23 01:16:59.255600 : Epoch  9, Batch    191, Loss  0.774176, Average Loss  0.770381, Time  0.253917
2021-09-23 01:17:00.296835 : Epoch  9, Batch     21, Loss  0.762162, Average Loss  0.770998, Time  0.255445
2021-09-23 01:17:01.138784 : Epoch  9, Batch    192, Loss  0.773266, Average Loss  0.770421, Time  0.249747
2021-09-23 01:17:02.200058 : Epoch  9, Batch     22, Loss  0.771263, Average Loss  0.771030, Time  0.252999
2021-09-23 01:17:02.613863 : Epoch  4, Batch    736, Loss  0.882516, Average Loss  0.870499, Time  0.459268
2021-09-23 01:17:03.039995 : Epoch  9, Batch    193, Loss  0.775589, Average Loss  0.770388, Time  0.252285
2021-09-23 01:17:04.114810 : Epoch  9, Batch     23, Loss  0.767687, Average Loss  0.770937, Time  0.254033
2021-09-23 01:17:04.925951 : Epoch  9, Batch    194, Loss  0.764049, Average Loss  0.770307, Time  0.256672
2021-09-23 01:17:06.010239 : Epoch  9, Batch     24, Loss  0.782279, Average Loss  0.771015, Time  0.254622
2021-09-23 01:17:06.825083 : Epoch  9, Batch    195, Loss  0.762603, Average Loss  0.770254, Time  0.259981
2021-09-23 01:17:07.612740 : Epoch  4, Batch    737, Loss  0.862658, Average Loss  0.870459, Time  0.414393
2021-09-23 01:17:07.926247 : Epoch  9, Batch     25, Loss  0.774094, Average Loss  0.771037, Time  0.259894
2021-09-23 01:17:08.723609 : Epoch  9, Batch    196, Loss  0.763199, Average Loss  0.770254, Time  0.250597
2021-09-23 01:17:09.857514 : Epoch  9, Batch     26, Loss  0.754105, Average Loss  0.770966, Time  0.259755
2021-09-23 01:17:10.620276 : Epoch  9, Batch    197, Loss  0.772694, Average Loss  0.770307, Time  0.250990
2021-09-23 01:17:11.755724 : Epoch  9, Batch     27, Loss  0.765556, Average Loss  0.770938, Time  0.251811
2021-09-23 01:17:12.504491 : Epoch  9, Batch    198, Loss  0.754099, Average Loss  0.770183, Time  0.250215
2021-09-23 01:17:12.598876 : Epoch  4, Batch    738, Loss  0.881968, Average Loss  0.870557, Time  0.413662
2021-09-23 01:17:13.659398 : Epoch  9, Batch     28, Loss  0.767047, Average Loss  0.770871, Time  0.254915
2021-09-23 01:17:14.388379 : Epoch  9, Batch    199, Loss  0.759592, Average Loss  0.770071, Time  0.248942
2021-09-23 01:17:15.580294 : Epoch  9, Batch     29, Loss  0.774360, Average Loss  0.770871, Time  0.251901
2021-09-23 01:17:16.287571 : Epoch  9, Batch    200, Loss  0.773821, Average Loss  0.770083, Time  0.248034
2021-09-23 01:17:17.533846 : Epoch  9, Batch     30, Loss  0.762578, Average Loss  0.770819, Time  0.256665
2021-09-23 01:17:17.574120 : Epoch  4, Batch    739, Loss  0.867065, Average Loss  0.870556, Time  0.414199
2021-09-23 01:17:18.198276 : Epoch  9, Batch    201, Loss  0.771793, Average Loss  0.770039, Time  0.253041
2021-09-23 01:17:19.461962 : Epoch  9, Batch     31, Loss  0.769449, Average Loss  0.770802, Time  0.254077
2021-09-23 01:17:20.072865 : Epoch  9, Batch    202, Loss  0.762879, Average Loss  0.769982, Time  0.250041
2021-09-23 01:17:21.342896 : Epoch  9, Batch     32, Loss  0.775900, Average Loss  0.770791, Time  0.253532
2021-09-23 01:17:21.974267 : Epoch  9, Batch    203, Loss  0.761191, Average Loss  0.769908, Time  0.259227
2021-09-23 01:17:22.612825 : Epoch  4, Batch    740, Loss  0.863641, Average Loss  0.870571, Time  0.414584
2021-09-23 01:17:23.261516 : Epoch  9, Batch     33, Loss  0.769304, Average Loss  0.770781, Time  0.253718
2021-09-23 01:17:23.851622 : Epoch  9, Batch    204, Loss  0.771322, Average Loss  0.769877, Time  0.251316
2021-09-23 01:17:25.188676 : Epoch  9, Batch     34, Loss  0.773594, Average Loss  0.770774, Time  0.257208
2021-09-23 01:17:27.097770 : Epoch  9, Batch     35, Loss  0.760789, Average Loss  0.770695, Time  0.251656
2021-09-23 01:17:27.608742 : Epoch  4, Batch    741, Loss  0.858972, Average Loss  0.870468, Time  0.424077
2021-09-23 01:17:29.074925 : Epoch  9, Batch     36, Loss  0.768288, Average Loss  0.770697, Time  0.327247
2021-09-23 01:17:30.972652 : Epoch  9, Batch     37, Loss  0.777704, Average Loss  0.770715, Time  0.253466
2021-09-23 01:17:32.591766 : Epoch  4, Batch    742, Loss  0.860715, Average Loss  0.870425, Time  0.413214
2021-09-23 01:17:32.861208 : Epoch  9, Batch     38, Loss  0.773950, Average Loss  0.770698, Time  0.254611
2021-09-23 01:17:34.750162 : Epoch  9, Batch     39, Loss  0.760778, Average Loss  0.770619, Time  0.256572
2021-09-23 01:17:36.670848 : Epoch  9, Batch     40, Loss  0.776250, Average Loss  0.770627, Time  0.260669
2021-09-23 01:17:37.596418 : Epoch  4, Batch    743, Loss  0.863630, Average Loss  0.870313, Time  0.414555
2021-09-23 01:17:38.582906 : Epoch  9, Batch     41, Loss  0.765913, Average Loss  0.770623, Time  0.255603
2021-09-23 01:17:40.597616 : Epoch  9, Batch     42, Loss  0.770407, Average Loss  0.770614, Time  0.324775
2021-09-23 01:17:42.481051 : Epoch  9, Batch     43, Loss  0.773291, Average Loss  0.770607, Time  0.251240
2021-09-23 01:17:42.596754 : Epoch  4, Batch    744, Loss  0.874689, Average Loss  0.870326, Time  0.413389
2021-09-23 01:17:44.369942 : Epoch  9, Batch     44, Loss  0.765927, Average Loss  0.770612, Time  0.253562
2021-09-23 01:17:46.284899 : Epoch  9, Batch     45, Loss  0.764801, Average Loss  0.770590, Time  0.251935
2021-09-23 01:17:47.608335 : Epoch  4, Batch    745, Loss  0.864992, Average Loss  0.870280, Time  0.460022
2021-09-23 01:17:48.186955 : Epoch  9, Batch     46, Loss  0.773745, Average Loss  0.770601, Time  0.251762
2021-09-23 01:17:50.099240 : Epoch  9, Batch     47, Loss  0.770758, Average Loss  0.770584, Time  0.254972
2021-09-23 01:17:51.990822 : Epoch  9, Batch     48, Loss  0.776272, Average Loss  0.770603, Time  0.256660
2021-09-23 01:17:52.615829 : Epoch  4, Batch    746, Loss  0.863156, Average Loss  0.870249, Time  0.414379
2021-09-23 01:17:53.918325 : Epoch  9, Batch     49, Loss  0.772182, Average Loss  0.770625, Time  0.298043
2021-09-23 01:17:55.817679 : Epoch  9, Batch     50, Loss  0.769404, Average Loss  0.770608, Time  0.257251
2021-09-23 01:17:57.594775 : Epoch  4, Batch    747, Loss  0.865718, Average Loss  0.870212, Time  0.413027
2021-09-23 01:17:57.733445 : Epoch  9, Batch     51, Loss  0.767543, Average Loss  0.770602, Time  0.258186
2021-09-23 01:17:59.631776 : Epoch  9, Batch     52, Loss  0.767692, Average Loss  0.770583, Time  0.255862
2021-09-23 01:18:01.566011 : Epoch  9, Batch     53, Loss  0.793063, Average Loss  0.770697, Time  0.254945
2021-09-23 01:18:02.568841 : Epoch  4, Batch    748, Loss  0.883101, Average Loss  0.870335, Time  0.413473
2021-09-23 01:18:03.497392 : Epoch  9, Batch     54, Loss  0.779400, Average Loss  0.770798, Time  0.255151
2021-09-23 01:18:05.436204 : Epoch  9, Batch     55, Loss  0.762764, Average Loss  0.770781, Time  0.286275
2021-09-23 01:18:07.375755 : Epoch  9, Batch     56, Loss  0.764041, Average Loss  0.770739, Time  0.272746
2021-09-23 01:18:07.554350 : Epoch  4, Batch    749, Loss  0.883746, Average Loss  0.870440, Time  0.413452
2021-09-23 01:18:09.282172 : Epoch  9, Batch     57, Loss  0.760179, Average Loss  0.770706, Time  0.254124
2021-09-23 01:18:11.228980 : Epoch  9, Batch     58, Loss  0.768395, Average Loss  0.770690, Time  0.257810
2021-09-23 01:18:12.536837 : Epoch  4, Batch    750, Loss  0.870504, Average Loss  0.870411, Time  0.414454
2021-09-23 01:18:13.149266 : Epoch  9, Batch     59, Loss  0.759452, Average Loss  0.770650, Time  0.256204
2021-09-23 01:18:15.132240 : Epoch  9, Batch     60, Loss  0.773107, Average Loss  0.770660, Time  0.329685
2021-09-23 01:18:17.040069 : Epoch  9, Batch     61, Loss  0.767522, Average Loss  0.770651, Time  0.252731
2021-09-23 01:18:17.531789 : Epoch  4, Batch    751, Loss  0.870721, Average Loss  0.870455, Time  0.413913
2021-09-23 01:18:18.973693 : Epoch  9, Batch     62, Loss  0.774580, Average Loss  0.770652, Time  0.253706
2021-09-23 01:18:20.878173 : Epoch  9, Batch     63, Loss  0.768355, Average Loss  0.770610, Time  0.251826
2021-09-23 01:18:22.503146 : Epoch  4, Batch    752, Loss  0.859587, Average Loss  0.870436, Time  0.413915
2021-09-23 01:18:22.787070 : Epoch  9, Batch     64, Loss  0.774335, Average Loss  0.770657, Time  0.261120
2021-09-23 01:18:24.684281 : Epoch  9, Batch     65, Loss  0.773493, Average Loss  0.770702, Time  0.252541
2021-09-23 01:18:26.668950 : Epoch  9, Batch     66, Loss  0.762098, Average Loss  0.770682, Time  0.327072
2021-09-23 01:18:27.553773 : Epoch  4, Batch    753, Loss  0.865677, Average Loss  0.870351, Time  0.415092
2021-09-23 01:18:28.593449 : Epoch  9, Batch     67, Loss  0.779819, Average Loss  0.770745, Time  0.253681
2021-09-23 01:18:30.517807 : Epoch  9, Batch     68, Loss  0.761463, Average Loss  0.770708, Time  0.253546
2021-09-23 01:18:32.430649 : Epoch  9, Batch     69, Loss  0.767395, Average Loss  0.770707, Time  0.253283
2021-09-23 01:18:32.551940 : Epoch  4, Batch    754, Loss  0.875726, Average Loss  0.870328, Time  0.435724
2021-09-23 01:18:33.756754 : CheckPoint: Validation Loss  0.00031228, Best Loss  0.00030606
2021-09-23 01:18:34.342974 : Epoch  9, Batch     70, Loss  0.763995, Average Loss  0.770672, Time  0.266818
2021-09-23 01:18:35.639888 : Epoch  9, Batch    205, Loss  0.767837, Average Loss  0.769855, Time  0.250331
2021-09-23 01:18:36.254408 : Epoch  9, Batch     71, Loss  0.764551, Average Loss  0.770666, Time  0.254215
2021-09-23 01:18:37.509918 : Epoch  9, Batch    206, Loss  0.770183, Average Loss  0.769889, Time  0.250987
2021-09-23 01:18:37.539906 : Epoch  4, Batch    755, Loss  0.869851, Average Loss  0.870295, Time  0.414092
2021-09-23 01:18:38.149142 : Epoch  9, Batch     72, Loss  0.764450, Average Loss  0.770634, Time  0.251976
2021-09-23 01:18:39.395004 : Epoch  9, Batch    207, Loss  0.774712, Average Loss  0.769951, Time  0.248650
2021-09-23 01:18:40.064244 : Epoch  9, Batch     73, Loss  0.772254, Average Loss  0.770669, Time  0.258127
2021-09-23 01:18:41.281068 : Epoch  9, Batch    208, Loss  0.774699, Average Loss  0.769962, Time  0.252099
2021-09-23 01:18:41.967211 : Epoch  9, Batch     74, Loss  0.772812, Average Loss  0.770688, Time  0.262074
2021-09-23 01:18:42.560966 : Epoch  4, Batch    756, Loss  0.869596, Average Loss  0.870227, Time  0.413214
2021-09-23 01:18:43.184339 : Epoch  9, Batch    209, Loss  0.767450, Average Loss  0.769963, Time  0.250568
2021-09-23 01:18:45.063285 : Epoch  9, Batch    210, Loss  0.770336, Average Loss  0.769965, Time  0.251023
2021-09-23 01:18:45.712853 : Epoch  9, Batch     75, Loss  0.769885, Average Loss  0.770688, Time  0.288765
2021-09-23 01:18:46.947084 : Epoch  9, Batch    211, Loss  0.769867, Average Loss  0.770006, Time  0.257916
2021-09-23 01:18:47.573029 : Epoch  4, Batch    757, Loss  0.864102, Average Loss  0.870237, Time  0.413668
2021-09-23 01:18:47.634603 : Epoch  9, Batch     76, Loss  0.767395, Average Loss  0.770684, Time  0.254114
2021-09-23 01:18:48.815564 : Epoch  9, Batch    212, Loss  0.778167, Average Loss  0.770041, Time  0.248757
2021-09-23 01:18:49.526649 : Epoch  9, Batch     77, Loss  0.782152, Average Loss  0.770702, Time  0.254138
2021-09-23 01:18:50.692641 : Epoch  9, Batch    213, Loss  0.774494, Average Loss  0.770066, Time  0.253528
2021-09-23 01:18:51.441616 : Epoch  9, Batch     78, Loss  0.772657, Average Loss  0.770661, Time  0.254877
2021-09-23 01:18:52.546038 : Epoch  4, Batch    758, Loss  0.867611, Average Loss  0.870185, Time  0.413097
2021-09-23 01:18:52.561293 : Epoch  9, Batch    214, Loss  0.776010, Average Loss  0.770128, Time  0.253363
2021-09-23 01:18:53.353887 : Epoch  9, Batch     79, Loss  0.780806, Average Loss  0.770716, Time  0.255071
2021-09-23 01:18:54.454531 : Epoch  9, Batch    215, Loss  0.770549, Average Loss  0.770154, Time  0.249001
2021-09-23 01:18:55.267978 : Epoch  9, Batch     80, Loss  0.769897, Average Loss  0.770672, Time  0.252099
2021-09-23 01:18:56.341359 : Epoch  9, Batch    216, Loss  0.761069, Average Loss  0.770105, Time  0.257199
2021-09-23 01:18:57.183687 : Epoch  9, Batch     81, Loss  0.773881, Average Loss  0.770677, Time  0.255470
2021-09-23 01:18:57.523547 : Epoch  4, Batch    759, Loss  0.861540, Average Loss  0.870108, Time  0.413252
2021-09-23 01:18:58.230876 : Epoch  9, Batch    217, Loss  0.774921, Average Loss  0.770110, Time  0.249806
2021-09-23 01:18:59.089491 : Epoch  9, Batch     82, Loss  0.777434, Average Loss  0.770672, Time  0.255487
2021-09-23 01:19:00.124287 : Epoch  9, Batch    218, Loss  0.757624, Average Loss  0.770034, Time  0.252093
2021-09-23 01:19:01.003359 : Epoch  9, Batch     83, Loss  0.776887, Average Loss  0.770673, Time  0.255078
2021-09-23 01:19:01.994843 : Epoch  9, Batch    219, Loss  0.767404, Average Loss  0.770000, Time  0.249675
2021-09-23 01:19:02.502027 : Epoch  4, Batch    760, Loss  0.862055, Average Loss  0.870079, Time  0.413658
2021-09-23 01:19:02.908167 : Epoch  9, Batch     84, Loss  0.768340, Average Loss  0.770643, Time  0.257516
2021-09-23 01:19:03.905997 : Epoch  9, Batch    220, Loss  0.764531, Average Loss  0.769926, Time  0.253095
2021-09-23 01:19:04.818235 : Epoch  9, Batch     85, Loss  0.774589, Average Loss  0.770687, Time  0.257452
2021-09-23 01:19:05.785831 : Epoch  9, Batch    221, Loss  0.767233, Average Loss  0.769988, Time  0.249424
2021-09-23 01:19:06.734165 : Epoch  9, Batch     86, Loss  0.769106, Average Loss  0.770680, Time  0.256721
2021-09-23 01:19:07.510742 : Epoch  4, Batch    761, Loss  0.854449, Average Loss  0.869988, Time  0.413807
2021-09-23 01:19:07.678405 : Epoch  9, Batch    222, Loss  0.769811, Average Loss  0.770010, Time  0.248699
2021-09-23 01:19:08.636949 : Epoch  9, Batch     87, Loss  0.776875, Average Loss  0.770715, Time  0.258625
2021-09-23 01:19:09.550542 : Epoch  9, Batch    223, Loss  0.778170, Average Loss  0.770061, Time  0.249949
2021-09-23 01:19:10.529774 : Epoch  9, Batch     88, Loss  0.781485, Average Loss  0.770692, Time  0.251694
2021-09-23 01:19:11.424124 : Epoch  9, Batch    224, Loss  0.774124, Average Loss  0.770009, Time  0.248400
2021-09-23 01:19:11.600836 : Epoch  9, Batch    225, Loss  0.779789, Average Loss  0.770083, Time  0.112288
2021-09-23 01:19:12.440811 : Epoch  9, Batch     89, Loss  0.768095, Average Loss  0.770651, Time  0.251679
2021-09-23 01:19:12.506835 : Epoch  4, Batch    762, Loss  0.879524, Average Loss  0.870080, Time  0.413359
2021-09-23 01:19:13.461933 : Epoch  9, Batch    226, Loss  0.763241, Average Loss  0.769970, Time  0.248335
2021-09-23 01:19:14.343047 : Epoch  9, Batch     90, Loss  0.766569, Average Loss  0.770702, Time  0.253377
2021-09-23 01:19:15.346297 : Epoch  9, Batch    227, Loss  0.775545, Average Loss  0.770035, Time  0.252143
2021-09-23 01:19:16.241317 : Epoch  9, Batch     91, Loss  0.776125, Average Loss  0.770799, Time  0.251329
2021-09-23 01:19:17.215629 : Epoch  9, Batch    228, Loss  0.778478, Average Loss  0.770094, Time  0.248150
2021-09-23 01:19:17.525972 : Epoch  4, Batch    763, Loss  0.851550, Average Loss  0.869950, Time  0.459324
2021-09-23 01:19:18.155383 : Epoch  9, Batch     92, Loss  0.765939, Average Loss  0.770759, Time  0.255650
2021-09-23 01:19:19.116026 : Epoch  9, Batch    229, Loss  0.768763, Average Loss  0.770097, Time  0.260457
2021-09-23 01:19:20.060563 : Epoch  9, Batch     93, Loss  0.768793, Average Loss  0.770728, Time  0.254447
2021-09-23 01:19:21.003245 : Epoch  9, Batch    230, Loss  0.764257, Average Loss  0.770099, Time  0.249744
2021-09-23 01:19:21.948261 : Epoch  9, Batch     94, Loss  0.766823, Average Loss  0.770737, Time  0.253457
2021-09-23 01:19:22.551409 : Epoch  4, Batch    764, Loss  0.876631, Average Loss  0.869987, Time  0.418317
2021-09-23 01:19:22.882002 : Epoch  9, Batch    231, Loss  0.766529, Average Loss  0.769999, Time  0.250050
2021-09-23 01:19:23.869691 : Epoch  9, Batch     95, Loss  0.767751, Average Loss  0.770689, Time  0.251758
2021-09-23 01:19:24.755266 : Epoch  9, Batch    232, Loss  0.776618, Average Loss  0.770029, Time  0.247530
2021-09-23 01:19:25.770438 : Epoch  9, Batch     96, Loss  0.767020, Average Loss  0.770714, Time  0.252502
2021-09-23 01:19:26.636668 : Epoch  9, Batch    233, Loss  0.765548, Average Loss  0.770034, Time  0.250034
2021-09-23 01:19:27.572038 : Epoch  4, Batch    765, Loss  0.883429, Average Loss  0.870048, Time  0.413318
2021-09-23 01:19:27.673860 : Epoch  9, Batch     97, Loss  0.767114, Average Loss  0.770724, Time  0.252200
2021-09-23 01:19:28.538839 : Epoch  9, Batch    234, Loss  0.765608, Average Loss  0.770021, Time  0.258642
2021-09-23 01:19:29.597675 : Epoch  9, Batch     98, Loss  0.773829, Average Loss  0.770728, Time  0.260287
2021-09-23 01:19:30.434128 : Epoch  9, Batch    235, Loss  0.780718, Average Loss  0.770097, Time  0.249703
2021-09-23 01:19:31.485911 : Epoch  9, Batch     99, Loss  0.780408, Average Loss  0.770817, Time  0.251374
2021-09-23 01:19:32.301901 : Epoch  9, Batch    236, Loss  0.768585, Average Loss  0.770109, Time  0.251840
2021-09-23 01:19:32.561756 : Epoch  4, Batch    766, Loss  0.875476, Average Loss  0.870064, Time  0.419099
2021-09-23 01:19:33.385993 : Epoch  9, Batch    100, Loss  0.766870, Average Loss  0.770842, Time  0.256436
2021-09-23 01:19:34.208764 : Epoch  9, Batch    237, Loss  0.774550, Average Loss  0.770157, Time  0.248002
2021-09-23 01:19:35.292382 : Epoch  9, Batch    101, Loss  0.774057, Average Loss  0.770855, Time  0.256082
2021-09-23 01:19:36.098906 : Epoch  9, Batch    238, Loss  0.783046, Average Loss  0.770245, Time  0.249836
2021-09-23 01:19:37.190872 : Epoch  9, Batch    102, Loss  0.775652, Average Loss  0.770904, Time  0.251962
2021-09-23 01:19:37.529793 : Epoch  4, Batch    767, Loss  0.866872, Average Loss  0.870105, Time  0.413193
2021-09-23 01:19:37.979527 : Epoch  9, Batch    239, Loss  0.769442, Average Loss  0.770215, Time  0.249999
2021-09-23 01:19:39.108799 : Epoch  9, Batch    103, Loss  0.773748, Average Loss  0.770929, Time  0.253856
2021-09-23 01:19:39.844247 : Epoch  9, Batch    240, Loss  0.761354, Average Loss  0.770192, Time  0.247814
2021-09-23 01:19:41.033900 : Epoch  9, Batch    104, Loss  0.770954, Average Loss  0.770949, Time  0.255783
2021-09-23 01:19:41.725338 : Epoch  9, Batch    241, Loss  0.763902, Average Loss  0.770161, Time  0.251571
2021-09-23 01:19:42.512918 : Epoch  4, Batch    768, Loss  0.879406, Average Loss  0.870166, Time  0.414047
2021-09-23 01:19:43.602192 : Epoch  9, Batch    242, Loss  0.758600, Average Loss  0.770136, Time  0.248355
2021-09-23 01:19:45.513849 : Epoch  9, Batch    243, Loss  0.769480, Average Loss  0.770161, Time  0.248805
2021-09-23 01:19:47.394672 : Epoch  9, Batch    244, Loss  0.768641, Average Loss  0.770149, Time  0.248081
2021-09-23 01:19:47.501828 : Epoch  4, Batch    769, Loss  0.869565, Average Loss  0.870161, Time  0.413459
2021-09-23 01:19:49.274847 : Epoch  9, Batch    245, Loss  0.764775, Average Loss  0.770229, Time  0.248848
2021-09-23 01:19:51.159255 : Epoch  9, Batch    246, Loss  0.774686, Average Loss  0.770215, Time  0.249743
2021-09-23 01:19:52.458990 : Epoch  4, Batch    770, Loss  0.870838, Average Loss  0.870147, Time  0.413204
2021-09-23 01:19:53.113882 : Epoch  9, Batch    247, Loss  0.768607, Average Loss  0.770123, Time  0.323826
2021-09-23 01:19:54.975155 : Epoch  9, Batch    248, Loss  0.758517, Average Loss  0.770091, Time  0.255355
2021-09-23 01:19:56.867560 : Epoch  9, Batch    249, Loss  0.765892, Average Loss  0.770034, Time  0.248398
2021-09-23 01:19:57.554980 : Epoch  4, Batch    771, Loss  0.859731, Average Loss  0.869983, Time  0.413776
2021-09-23 01:19:58.748979 : Epoch  9, Batch    250, Loss  0.767352, Average Loss  0.770052, Time  0.253412
2021-09-23 01:20:00.640509 : Epoch  9, Batch    251, Loss  0.771646, Average Loss  0.770049, Time  0.254592
2021-09-23 01:20:02.515901 : Epoch  9, Batch    252, Loss  0.777591, Average Loss  0.770131, Time  0.261608
2021-09-23 01:20:02.624399 : Epoch  4, Batch    772, Loss  0.866241, Average Loss  0.869920, Time  0.437957
2021-09-23 01:20:04.388176 : Epoch  9, Batch    253, Loss  0.761449, Average Loss  0.770122, Time  0.255655
2021-09-23 01:20:06.307167 : Epoch  9, Batch    254, Loss  0.760875, Average Loss  0.770005, Time  0.273279
2021-09-23 01:20:07.591770 : Epoch  4, Batch    773, Loss  0.865424, Average Loss  0.869858, Time  0.413499
2021-09-23 01:20:08.256730 : Epoch  9, Batch    255, Loss  0.767998, Average Loss  0.770035, Time  0.332484
2021-09-23 01:20:10.128199 : Epoch  9, Batch    256, Loss  0.760007, Average Loss  0.769984, Time  0.252841
2021-09-23 01:20:12.027093 : Epoch  9, Batch    257, Loss  0.774923, Average Loss  0.769971, Time  0.248461
2021-09-23 01:20:12.550994 : Epoch  4, Batch    774, Loss  0.873107, Average Loss  0.869845, Time  0.413704
2021-09-23 01:20:13.935618 : Epoch  9, Batch    258, Loss  0.769310, Average Loss  0.769959, Time  0.253115
2021-09-23 01:20:15.799816 : Epoch  9, Batch    259, Loss  0.764272, Average Loss  0.769913, Time  0.250944
2021-09-23 01:20:17.519972 : Epoch  4, Batch    775, Loss  0.861017, Average Loss  0.869768, Time  0.414293
2021-09-23 01:20:17.685696 : Epoch  9, Batch    260, Loss  0.765800, Average Loss  0.769847, Time  0.252054
2021-09-23 01:20:19.555436 : Epoch  9, Batch    261, Loss  0.757359, Average Loss  0.769751, Time  0.248672
2021-09-23 01:20:21.421886 : Epoch  9, Batch    262, Loss  0.772188, Average Loss  0.769803, Time  0.248552
2021-09-23 01:20:22.510112 : Epoch  4, Batch    776, Loss  0.885677, Average Loss  0.869890, Time  0.413920
2021-09-23 01:20:23.377387 : Epoch  9, Batch    263, Loss  0.767796, Average Loss  0.769814, Time  0.326237
2021-09-23 01:20:25.264944 : Epoch  9, Batch    264, Loss  0.766100, Average Loss  0.769837, Time  0.271175
2021-09-23 01:20:27.118360 : Epoch  9, Batch    265, Loss  0.762178, Average Loss  0.769811, Time  0.248406
2021-09-23 01:20:27.505761 : Epoch  4, Batch    777, Loss  0.864208, Average Loss  0.869856, Time  0.414293
2021-09-23 01:20:28.993971 : Epoch  9, Batch    266, Loss  0.759806, Average Loss  0.769745, Time  0.250228
2021-09-23 01:20:30.853169 : Epoch  9, Batch    267, Loss  0.769929, Average Loss  0.769740, Time  0.248289
2021-09-23 01:20:32.467982 : Epoch  4, Batch    778, Loss  0.862609, Average Loss  0.869846, Time  0.414015
2021-09-23 01:20:32.718364 : Epoch  9, Batch    268, Loss  0.769630, Average Loss  0.769707, Time  0.248438
2021-09-23 01:20:34.595006 : Epoch  9, Batch    269, Loss  0.766181, Average Loss  0.769726, Time  0.250196
2021-09-23 01:20:36.458461 : Epoch  9, Batch    270, Loss  0.769380, Average Loss  0.769736, Time  0.249952
2021-09-23 01:20:37.445994 : Epoch  4, Batch    779, Loss  0.870993, Average Loss  0.869811, Time  0.413534
2021-09-23 01:20:38.338396 : Epoch  9, Batch    271, Loss  0.779347, Average Loss  0.769801, Time  0.249170
2021-09-23 01:20:40.277841 : Epoch  9, Batch    272, Loss  0.772680, Average Loss  0.769806, Time  0.323208
2021-09-23 01:20:42.164568 : Epoch  9, Batch    273, Loss  0.772881, Average Loss  0.769754, Time  0.249741
2021-09-23 01:20:42.427950 : Epoch  4, Batch    780, Loss  0.862970, Average Loss  0.869823, Time  0.413379
2021-09-23 01:20:44.026215 : Epoch  9, Batch    274, Loss  0.776457, Average Loss  0.769753, Time  0.253224
2021-09-23 01:20:45.905713 : Epoch  9, Batch    275, Loss  0.771563, Average Loss  0.769732, Time  0.251173
2021-09-23 01:20:47.439895 : Epoch  4, Batch    781, Loss  0.870246, Average Loss  0.869858, Time  0.451379
2021-09-23 01:20:49.609862 : Epoch  9, Batch    276, Loss  0.777843, Average Loss  0.769736, Time  0.254362
2021-09-23 01:20:51.493668 : Epoch  9, Batch    277, Loss  0.778365, Average Loss  0.769776, Time  0.251169
2021-09-23 01:20:52.424148 : Epoch  4, Batch    782, Loss  0.857171, Average Loss  0.869816, Time  0.423305
2021-09-23 01:20:52.469999 : CheckPoint: Validation Loss  0.00032259, Best Loss  0.00030514
2021-09-23 01:20:53.367459 : Epoch  9, Batch    278, Loss  0.768914, Average Loss  0.769785, Time  0.248562
2021-09-23 01:20:54.380001 : Epoch  9, Batch    105, Loss  0.768354, Average Loss  0.770992, Time  0.258518
2021-09-23 01:20:55.242342 : Epoch  9, Batch    279, Loss  0.750512, Average Loss  0.769687, Time  0.253068
2021-09-23 01:20:56.300277 : Epoch  9, Batch    106, Loss  0.769617, Average Loss  0.770969, Time  0.251885
2021-09-23 01:20:57.135854 : Epoch  9, Batch    280, Loss  0.762241, Average Loss  0.769692, Time  0.256928
2021-09-23 01:20:57.398958 : Epoch  4, Batch    783, Loss  0.874301, Average Loss  0.869836, Time  0.413548
2021-09-23 01:20:58.202742 : Epoch  9, Batch    107, Loss  0.766312, Average Loss  0.770946, Time  0.251923
2021-09-23 01:20:59.014492 : Epoch  9, Batch    281, Loss  0.772269, Average Loss  0.769771, Time  0.250053
2021-09-23 01:21:00.091419 : Epoch  9, Batch    108, Loss  0.772964, Average Loss  0.770987, Time  0.257577
2021-09-23 01:21:00.900673 : Epoch  9, Batch    282, Loss  0.772874, Average Loss  0.769816, Time  0.250463
2021-09-23 01:21:02.005375 : Epoch  9, Batch    109, Loss  0.764267, Average Loss  0.770978, Time  0.257154
2021-09-23 01:21:02.360739 : Epoch  4, Batch    784, Loss  0.878965, Average Loss  0.869813, Time  0.413300
2021-09-23 01:21:02.769816 : Epoch  9, Batch    283, Loss  0.768328, Average Loss  0.769811, Time  0.257586
2021-09-23 01:21:03.913221 : Epoch  9, Batch    110, Loss  0.761555, Average Loss  0.770986, Time  0.265401
2021-09-23 01:21:04.658780 : Epoch  9, Batch    284, Loss  0.754682, Average Loss  0.769745, Time  0.253752
2021-09-23 01:21:05.862049 : Epoch  9, Batch    111, Loss  0.771250, Average Loss  0.771036, Time  0.252047
2021-09-23 01:21:06.531689 : Epoch  9, Batch    285, Loss  0.763552, Average Loss  0.769764, Time  0.248769
2021-09-23 01:21:07.329002 : Epoch  4, Batch    785, Loss  0.866523, Average Loss  0.869820, Time  0.413420
2021-09-23 01:21:07.768894 : Epoch  9, Batch    112, Loss  0.780492, Average Loss  0.771151, Time  0.254396
2021-09-23 01:21:08.392432 : Epoch  9, Batch    286, Loss  0.778927, Average Loss  0.769795, Time  0.252945
2021-09-23 01:21:09.676487 : Epoch  9, Batch    113, Loss  0.790522, Average Loss  0.771252, Time  0.286245
2021-09-23 01:21:10.287181 : Epoch  9, Batch    287, Loss  0.761169, Average Loss  0.769689, Time  0.250975
2021-09-23 01:21:11.580639 : Epoch  9, Batch    114, Loss  0.775396, Average Loss  0.771309, Time  0.254117
2021-09-23 01:21:12.177271 : Epoch  9, Batch    288, Loss  0.774663, Average Loss  0.769726, Time  0.248472
2021-09-23 01:21:12.346043 : Epoch  4, Batch    786, Loss  0.859197, Average Loss  0.869789, Time  0.413123
2021-09-23 01:21:13.463431 : Epoch  9, Batch    115, Loss  0.775501, Average Loss  0.771403, Time  0.252033
2021-09-23 01:21:14.053811 : Epoch  9, Batch    289, Loss  0.781863, Average Loss  0.769768, Time  0.255109
2021-09-23 01:21:15.392853 : Epoch  9, Batch    116, Loss  0.775715, Average Loss  0.771427, Time  0.253866
2021-09-23 01:21:15.939871 : Epoch  9, Batch    290, Loss  0.772414, Average Loss  0.769804, Time  0.259486
2021-09-23 01:21:17.310037 : Epoch  9, Batch    117, Loss  0.779045, Average Loss  0.771455, Time  0.252613
2021-09-23 01:21:17.324910 : Epoch  4, Batch    787, Loss  0.869586, Average Loss  0.869803, Time  0.414878
2021-09-23 01:21:17.849759 : Epoch  9, Batch    291, Loss  0.774085, Average Loss  0.769761, Time  0.251623
2021-09-23 01:21:19.207470 : Epoch  9, Batch    118, Loss  0.776889, Average Loss  0.771451, Time  0.251142
2021-09-23 01:21:19.731842 : Epoch  9, Batch    292, Loss  0.763871, Average Loss  0.769735, Time  0.253881
2021-09-23 01:21:21.105883 : Epoch  9, Batch    119, Loss  0.778493, Average Loss  0.771484, Time  0.253231
2021-09-23 01:21:21.598944 : Epoch  9, Batch    293, Loss  0.768337, Average Loss  0.769765, Time  0.248448
2021-09-23 01:21:22.356949 : Epoch  4, Batch    788, Loss  0.872664, Average Loss  0.869799, Time  0.413745
2021-09-23 01:21:23.006760 : Epoch  9, Batch    120, Loss  0.767930, Average Loss  0.771474, Time  0.251134
2021-09-23 01:21:23.477722 : Epoch  9, Batch    294, Loss  0.762273, Average Loss  0.769715, Time  0.248380
2021-09-23 01:21:24.923216 : Epoch  9, Batch    121, Loss  0.773373, Average Loss  0.771550, Time  0.265914
2021-09-23 01:21:25.352972 : Epoch  9, Batch    295, Loss  0.767846, Average Loss  0.769695, Time  0.249955
2021-09-23 01:21:26.841995 : Epoch  9, Batch    122, Loss  0.776058, Average Loss  0.771565, Time  0.253643
2021-09-23 01:21:27.231127 : Epoch  9, Batch    296, Loss  0.768487, Average Loss  0.769666, Time  0.254379
2021-09-23 01:21:27.335868 : Epoch  4, Batch    789, Loss  0.875593, Average Loss  0.869782, Time  0.414027
2021-09-23 01:21:28.731106 : Epoch  9, Batch    123, Loss  0.768414, Average Loss  0.771583, Time  0.252390
2021-09-23 01:21:29.092854 : Epoch  9, Batch    297, Loss  0.773636, Average Loss  0.769657, Time  0.256860
2021-09-23 01:21:30.641384 : Epoch  9, Batch    124, Loss  0.772311, Average Loss  0.771617, Time  0.254904
2021-09-23 01:21:30.982861 : Epoch  9, Batch    298, Loss  0.770545, Average Loss  0.769685, Time  0.264460
2021-09-23 01:21:32.331816 : Epoch  4, Batch    790, Loss  0.884561, Average Loss  0.869789, Time  0.449897
2021-09-23 01:21:32.551657 : Epoch  9, Batch    125, Loss  0.775084, Average Loss  0.771640, Time  0.251110
2021-09-23 01:21:32.853615 : Epoch  9, Batch    299, Loss  0.767664, Average Loss  0.769689, Time  0.248796
2021-09-23 01:21:34.449449 : Epoch  9, Batch    126, Loss  0.767736, Average Loss  0.771606, Time  0.254854
2021-09-23 01:21:34.728609 : Epoch  9, Batch    300, Loss  0.778934, Average Loss  0.769796, Time  0.250531
2021-09-23 01:21:36.345678 : Epoch  9, Batch    127, Loss  0.765159, Average Loss  0.771707, Time  0.255518
2021-09-23 01:21:36.611549 : Epoch  9, Batch    301, Loss  0.783134, Average Loss  0.769814, Time  0.248476
2021-09-23 01:21:37.312783 : Epoch  4, Batch    791, Loss  0.874072, Average Loss  0.869783, Time  0.414145
2021-09-23 01:21:38.246269 : Epoch  9, Batch    128, Loss  0.772044, Average Loss  0.771733, Time  0.266649
2021-09-23 01:21:38.505601 : Epoch  9, Batch    302, Loss  0.761670, Average Loss  0.769798, Time  0.252455
2021-09-23 01:21:40.144211 : Epoch  9, Batch    129, Loss  0.766473, Average Loss  0.771723, Time  0.251887
2021-09-23 01:21:40.385739 : Epoch  9, Batch    303, Loss  0.764775, Average Loss  0.769765, Time  0.255920
2021-09-23 01:21:42.134353 : Epoch  9, Batch    130, Loss  0.772858, Average Loss  0.771756, Time  0.331407
2021-09-23 01:21:42.295311 : Epoch  9, Batch    304, Loss  0.772914, Average Loss  0.769756, Time  0.294826
2021-09-23 01:21:42.321986 : Epoch  4, Batch    792, Loss  0.857253, Average Loss  0.869742, Time  0.413078
2021-09-23 01:21:44.063892 : Epoch  9, Batch    131, Loss  0.777841, Average Loss  0.771772, Time  0.255045
2021-09-23 01:21:46.043991 : Epoch  9, Batch    132, Loss  0.769662, Average Loss  0.771808, Time  0.332225
2021-09-23 01:21:47.304035 : Epoch  4, Batch    793, Loss  0.857570, Average Loss  0.869602, Time  0.413786
2021-09-23 01:21:47.948681 : Epoch  9, Batch    133, Loss  0.764567, Average Loss  0.771783, Time  0.252700
2021-09-23 01:21:49.837792 : Epoch  9, Batch    134, Loss  0.774222, Average Loss  0.771828, Time  0.258052
2021-09-23 01:21:51.741680 : Epoch  9, Batch    135, Loss  0.777603, Average Loss  0.771846, Time  0.255006
2021-09-23 01:21:52.283732 : Epoch  4, Batch    794, Loss  0.852366, Average Loss  0.869466, Time  0.412913
2021-09-23 01:21:53.668617 : Epoch  9, Batch    136, Loss  0.772232, Average Loss  0.771850, Time  0.252810
2021-09-23 01:21:55.568518 : Epoch  9, Batch    137, Loss  0.762768, Average Loss  0.771743, Time  0.251306
2021-09-23 01:21:57.284046 : Epoch  4, Batch    795, Loss  0.853761, Average Loss  0.869370, Time  0.413545
2021-09-23 01:21:57.541259 : Epoch  9, Batch    138, Loss  0.762805, Average Loss  0.771726, Time  0.324798
2021-09-23 01:21:59.454892 : Epoch  9, Batch    139, Loss  0.775060, Average Loss  0.771806, Time  0.259983
2021-09-23 01:22:01.374301 : Epoch  9, Batch    140, Loss  0.768417, Average Loss  0.771791, Time  0.253420
2021-09-23 01:22:02.264729 : Epoch  4, Batch    796, Loss  0.874841, Average Loss  0.869343, Time  0.413391
2021-09-23 01:22:03.266003 : Epoch  9, Batch    141, Loss  0.770009, Average Loss  0.771708, Time  0.253995
2021-09-23 01:22:05.158829 : Epoch  9, Batch    142, Loss  0.775156, Average Loss  0.771814, Time  0.250811
2021-09-23 01:22:07.076104 : Epoch  9, Batch    143, Loss  0.772452, Average Loss  0.771797, Time  0.251807
2021-09-23 01:22:07.233953 : Epoch  4, Batch    797, Loss  0.877988, Average Loss  0.869404, Time  0.412984
2021-09-23 01:22:09.076319 : Epoch  9, Batch    144, Loss  0.762315, Average Loss  0.771704, Time  0.324015
2021-09-23 01:22:10.981892 : Epoch  9, Batch    145, Loss  0.775020, Average Loss  0.771743, Time  0.253551
2021-09-23 01:22:12.203974 : Epoch  4, Batch    798, Loss  0.892503, Average Loss  0.869488, Time  0.413375
2021-09-23 01:22:12.901451 : Epoch  9, Batch    146, Loss  0.776106, Average Loss  0.771755, Time  0.253841
2021-09-23 01:22:14.804849 : Epoch  9, Batch    147, Loss  0.759349, Average Loss  0.771730, Time  0.251476
2021-09-23 01:22:16.702049 : Epoch  9, Batch    148, Loss  0.773191, Average Loss  0.771796, Time  0.251505
2021-09-23 01:22:17.203959 : Epoch  4, Batch    799, Loss  0.874104, Average Loss  0.869521, Time  0.431963
2021-09-23 01:22:18.614307 : Epoch  9, Batch    149, Loss  0.779549, Average Loss  0.771857, Time  0.251716
2021-09-23 01:22:20.600491 : Epoch  9, Batch    150, Loss  0.764229, Average Loss  0.771842, Time  0.325760
2021-09-23 01:22:22.212606 : Epoch  4, Batch    800, Loss  0.883135, Average Loss  0.869649, Time  0.415597
2021-09-23 01:22:22.517125 : Epoch  9, Batch    151, Loss  0.776679, Average Loss  0.771859, Time  0.256491
2021-09-23 01:22:24.413246 : Epoch  9, Batch    152, Loss  0.776438, Average Loss  0.771921, Time  0.252949
2021-09-23 01:22:26.327944 : Epoch  9, Batch    153, Loss  0.786263, Average Loss  0.772031, Time  0.255776
2021-09-23 01:22:27.198799 : Epoch  4, Batch    801, Loss  0.870462, Average Loss  0.869606, Time  0.413454
2021-09-23 01:22:28.229380 : Epoch  9, Batch    154, Loss  0.765719, Average Loss  0.772048, Time  0.251905
2021-09-23 01:22:30.127892 : Epoch  9, Batch    155, Loss  0.779791, Average Loss  0.772043, Time  0.253333
2021-09-23 01:22:32.095732 : Epoch  9, Batch    156, Loss  0.767792, Average Loss  0.771981, Time  0.327543
2021-09-23 01:22:32.185021 : Epoch  4, Batch    802, Loss  0.877535, Average Loss  0.869681, Time  0.413715
2021-09-23 01:22:34.000758 : Epoch  9, Batch    157, Loss  0.770360, Average Loss  0.772005, Time  0.255401
2021-09-23 01:22:35.919893 : Epoch  9, Batch    158, Loss  0.762733, Average Loss  0.771906, Time  0.271852
2021-09-23 01:22:37.207753 : Epoch  4, Batch    803, Loss  0.876666, Average Loss  0.869784, Time  0.413892
2021-09-23 01:22:37.832260 : Epoch  9, Batch    159, Loss  0.756909, Average Loss  0.771823, Time  0.261740
2021-09-23 01:22:39.738789 : Epoch  9, Batch    160, Loss  0.766390, Average Loss  0.771780, Time  0.253402
2021-09-23 01:22:41.656149 : Epoch  9, Batch    161, Loss  0.769280, Average Loss  0.771758, Time  0.251336
2021-09-23 01:22:42.196110 : Epoch  4, Batch    804, Loss  0.862196, Average Loss  0.869739, Time  0.413757
2021-09-23 01:22:43.618337 : Epoch  9, Batch    162, Loss  0.770518, Average Loss  0.771761, Time  0.327516
2021-09-23 01:22:45.513806 : Epoch  9, Batch    163, Loss  0.769215, Average Loss  0.771743, Time  0.252794
2021-09-23 01:22:47.197016 : Epoch  4, Batch    805, Loss  0.870900, Average Loss  0.869739, Time  0.413546
2021-09-23 01:22:47.427009 : Epoch  9, Batch    164, Loss  0.771247, Average Loss  0.771764, Time  0.252481
2021-09-23 01:22:49.325879 : Epoch  9, Batch    165, Loss  0.771585, Average Loss  0.771773, Time  0.251908
2021-09-23 01:22:51.225374 : Epoch  9, Batch    166, Loss  0.767546, Average Loss  0.771744, Time  0.255839
2021-09-23 01:22:52.179046 : Epoch  4, Batch    806, Loss  0.872055, Average Loss  0.869705, Time  0.413578
2021-09-23 01:22:52.247714 : CheckPoint: Validation Loss  0.00031558, Best Loss  0.00030606
2021-09-23 01:22:53.135076 : Epoch  9, Batch    167, Loss  0.776485, Average Loss  0.771712, Time  0.265840
2021-09-23 01:22:54.131149 : Epoch  9, Batch    305, Loss  0.774559, Average Loss  0.769810, Time  0.248549
2021-09-23 01:22:55.058964 : Epoch  9, Batch    168, Loss  0.760643, Average Loss  0.771656, Time  0.256966
2021-09-23 01:22:56.013999 : Epoch  9, Batch    306, Loss  0.772158, Average Loss  0.769810, Time  0.248541
2021-09-23 01:22:56.958926 : Epoch  9, Batch    169, Loss  0.783485, Average Loss  0.771710, Time  0.253855
2021-09-23 01:22:57.167776 : Epoch  4, Batch    807, Loss  0.866027, Average Loss  0.869687, Time  0.413155
2021-09-23 01:22:57.902535 : Epoch  9, Batch    307, Loss  0.774448, Average Loss  0.769858, Time  0.248649
2021-09-23 01:22:58.865519 : Epoch  9, Batch    170, Loss  0.762054, Average Loss  0.771657, Time  0.258745
2021-09-23 01:22:59.784278 : Epoch  9, Batch    308, Loss  0.775042, Average Loss  0.769885, Time  0.248975
2021-09-23 01:23:00.790289 : Epoch  9, Batch    171, Loss  0.772256, Average Loss  0.771702, Time  0.253583
2021-09-23 01:23:01.668679 : Epoch  9, Batch    309, Loss  0.768269, Average Loss  0.769846, Time  0.248096
2021-09-23 01:23:02.171987 : Epoch  4, Batch    808, Loss  0.872861, Average Loss  0.869687, Time  0.448872
2021-09-23 01:23:02.693886 : Epoch  9, Batch    172, Loss  0.784796, Average Loss  0.771807, Time  0.251213
2021-09-23 01:23:03.563823 : Epoch  9, Batch    310, Loss  0.759061, Average Loss  0.769830, Time  0.249764
2021-09-23 01:23:04.590183 : Epoch  9, Batch    173, Loss  0.752193, Average Loss  0.771694, Time  0.252103
2021-09-23 01:23:05.443548 : Epoch  9, Batch    311, Loss  0.768647, Average Loss  0.769818, Time  0.256767
2021-09-23 01:23:06.502693 : Epoch  9, Batch    174, Loss  0.748921, Average Loss  0.771566, Time  0.255369
2021-09-23 01:23:07.144113 : Epoch  4, Batch    809, Loss  0.866622, Average Loss  0.869633, Time  0.413272
2021-09-23 01:23:07.309952 : Epoch  9, Batch    312, Loss  0.762020, Average Loss  0.769771, Time  0.249867
2021-09-23 01:23:09.219739 : Epoch  9, Batch    313, Loss  0.766141, Average Loss  0.769701, Time  0.250605
2021-09-23 01:23:10.171218 : Epoch  9, Batch    175, Loss  0.768532, Average Loss  0.771571, Time  0.251317
2021-09-23 01:23:11.114900 : Epoch  9, Batch    314, Loss  0.768081, Average Loss  0.769775, Time  0.249572
2021-09-23 01:23:12.105255 : Epoch  9, Batch    176, Loss  0.762894, Average Loss  0.771527, Time  0.253615
2021-09-23 01:23:12.118904 : Epoch  4, Batch    810, Loss  0.861384, Average Loss  0.869572, Time  0.413170
2021-09-23 01:23:13.014526 : Epoch  9, Batch    315, Loss  0.758280, Average Loss  0.769757, Time  0.249184
2021-09-23 01:23:14.046241 : Epoch  9, Batch    177, Loss  0.769204, Average Loss  0.770877, Time  0.252647
2021-09-23 01:23:14.894243 : Epoch  9, Batch    316, Loss  0.770237, Average Loss  0.769775, Time  0.249888
2021-09-23 01:23:15.946975 : Epoch  9, Batch    178, Loss  0.767762, Average Loss  0.770830, Time  0.252455
2021-09-23 01:23:16.765977 : Epoch  9, Batch    317, Loss  0.758459, Average Loss  0.769632, Time  0.249712
2021-09-23 01:23:17.103964 : Epoch  4, Batch    811, Loss  0.866478, Average Loss  0.869546, Time  0.413068
2021-09-23 01:23:17.883404 : Epoch  9, Batch    179, Loss  0.775328, Average Loss  0.770874, Time  0.251169
2021-09-23 01:23:18.735018 : Epoch  9, Batch    318, Loss  0.761728, Average Loss  0.769558, Time  0.249424
2021-09-23 01:23:19.787270 : Epoch  9, Batch    180, Loss  0.777851, Average Loss  0.770863, Time  0.251488
2021-09-23 01:23:20.603944 : Epoch  9, Batch    319, Loss  0.769914, Average Loss  0.769593, Time  0.254782
2021-09-23 01:23:21.692884 : Epoch  9, Batch    181, Loss  0.775770, Average Loss  0.770918, Time  0.252287
2021-09-23 01:23:22.082613 : Epoch  4, Batch    812, Loss  0.881947, Average Loss  0.869590, Time  0.413443
2021-09-23 01:23:22.476965 : Epoch  9, Batch    320, Loss  0.768357, Average Loss  0.769574, Time  0.248376
2021-09-23 01:23:23.588047 : Epoch  9, Batch    182, Loss  0.767868, Average Loss  0.770877, Time  0.253178
2021-09-23 01:23:24.346456 : Epoch  9, Batch    321, Loss  0.775102, Average Loss  0.769658, Time  0.249713
2021-09-23 01:23:25.485111 : Epoch  9, Batch    183, Loss  0.778778, Average Loss  0.770903, Time  0.258236
2021-09-23 01:23:26.214269 : Epoch  9, Batch    322, Loss  0.758525, Average Loss  0.769557, Time  0.249730
2021-09-23 01:23:27.062925 : Epoch  4, Batch    813, Loss  0.865516, Average Loss  0.869560, Time  0.414281
2021-09-23 01:23:27.378809 : Epoch  9, Batch    184, Loss  0.771396, Average Loss  0.770877, Time  0.251722
2021-09-23 01:23:28.105495 : Epoch  9, Batch    323, Loss  0.765144, Average Loss  0.769479, Time  0.258840
2021-09-23 01:23:29.276570 : Epoch  9, Batch    185, Loss  0.772523, Average Loss  0.770911, Time  0.254121
2021-09-23 01:23:29.994776 : Epoch  9, Batch    324, Loss  0.771648, Average Loss  0.769450, Time  0.260918
2021-09-23 01:23:31.184500 : Epoch  9, Batch    186, Loss  0.763604, Average Loss  0.770865, Time  0.253476
2021-09-23 01:23:31.883874 : Epoch  9, Batch    325, Loss  0.774762, Average Loss  0.769473, Time  0.255679
2021-09-23 01:23:32.030815 : Epoch  4, Batch    814, Loss  0.873936, Average Loss  0.869614, Time  0.414143
2021-09-23 01:23:33.085834 : Epoch  9, Batch    187, Loss  0.765019, Average Loss  0.770800, Time  0.253119
2021-09-23 01:23:33.769863 : Epoch  9, Batch    326, Loss  0.768370, Average Loss  0.769501, Time  0.250331
2021-09-23 01:23:34.977180 : Epoch  9, Batch    188, Loss  0.772099, Average Loss  0.770827, Time  0.252697
2021-09-23 01:23:35.632039 : Epoch  9, Batch    327, Loss  0.772301, Average Loss  0.769451, Time  0.252892
2021-09-23 01:23:36.868238 : Epoch  9, Batch    189, Loss  0.773634, Average Loss  0.770865, Time  0.251081
2021-09-23 01:23:36.999935 : Epoch  4, Batch    815, Loss  0.861321, Average Loss  0.869563, Time  0.413654
2021-09-23 01:23:37.538786 : Epoch  9, Batch    328, Loss  0.759685, Average Loss  0.769387, Time  0.247749
2021-09-23 01:23:38.782245 : Epoch  9, Batch    190, Loss  0.774326, Average Loss  0.770885, Time  0.251036
2021-09-23 01:23:39.420015 : Epoch  9, Batch    329, Loss  0.774759, Average Loss  0.769439, Time  0.250373
2021-09-23 01:23:40.681651 : Epoch  9, Batch    191, Loss  0.763553, Average Loss  0.770828, Time  0.251853
2021-09-23 01:23:41.317035 : Epoch  9, Batch    330, Loss  0.766138, Average Loss  0.769402, Time  0.255992
2021-09-23 01:23:41.984760 : Epoch  4, Batch    816, Loss  0.865919, Average Loss  0.869545, Time  0.415150
2021-09-23 01:23:42.592367 : Epoch  9, Batch    192, Loss  0.776468, Average Loss  0.770789, Time  0.253166
2021-09-23 01:23:43.203748 : Epoch  9, Batch    331, Loss  0.775014, Average Loss  0.769474, Time  0.247840
2021-09-23 01:23:44.525459 : Epoch  9, Batch    193, Loss  0.761013, Average Loss  0.770761, Time  0.253754
2021-09-23 01:23:45.081037 : Epoch  9, Batch    332, Loss  0.770779, Average Loss  0.769487, Time  0.251176
2021-09-23 01:23:46.437233 : Epoch  9, Batch    194, Loss  0.783665, Average Loss  0.770848, Time  0.254428
2021-09-23 01:23:46.967681 : Epoch  9, Batch    333, Loss  0.766966, Average Loss  0.769447, Time  0.254690
2021-09-23 01:23:48.331793 : Epoch  9, Batch    195, Loss  0.768290, Average Loss  0.770819, Time  0.253288
2021-09-23 01:23:48.845698 : Epoch  9, Batch    334, Loss  0.765679, Average Loss  0.769451, Time  0.249087
2021-09-23 01:23:50.228281 : Epoch  9, Batch    196, Loss  0.771625, Average Loss  0.770806, Time  0.253862
2021-09-23 01:23:50.720495 : Epoch  9, Batch    335, Loss  0.747720, Average Loss  0.769362, Time  0.252167
2021-09-23 01:23:52.134260 : Epoch  9, Batch    197, Loss  0.765285, Average Loss  0.770742, Time  0.252838
2021-09-23 01:23:52.593701 : Epoch  9, Batch    336, Loss  0.765565, Average Loss  0.769360, Time  0.256287
2021-09-23 01:23:54.040315 : Epoch  9, Batch    198, Loss  0.778189, Average Loss  0.770751, Time  0.253563
2021-09-23 01:23:54.473715 : Epoch  9, Batch    337, Loss  0.780813, Average Loss  0.769413, Time  0.253691
2021-09-23 01:23:55.929941 : Epoch  9, Batch    199, Loss  0.776574, Average Loss  0.770832, Time  0.250805
2021-09-23 01:23:56.368741 : Epoch  9, Batch    338, Loss  0.763182, Average Loss  0.769353, Time  0.248034
2021-09-23 01:23:57.823254 : Epoch  9, Batch    200, Loss  0.767998, Average Loss  0.770818, Time  0.250963
2021-09-23 01:23:58.246860 : Epoch  9, Batch    339, Loss  0.767314, Average Loss  0.769380, Time  0.248200
2021-09-23 01:23:59.740483 : Epoch  9, Batch    201, Loss  0.774368, Average Loss  0.770842, Time  0.253585
2021-09-23 01:24:00.118060 : Epoch  9, Batch    340, Loss  0.771480, Average Loss  0.769353, Time  0.248944
2021-09-23 01:24:01.645314 : Epoch  9, Batch    202, Loss  0.772462, Average Loss  0.770844, Time  0.254171
2021-09-23 01:24:01.971248 : Epoch  9, Batch    341, Loss  0.757875, Average Loss  0.769242, Time  0.254205
2021-09-23 01:24:03.570942 : Epoch  9, Batch    203, Loss  0.768260, Average Loss  0.770814, Time  0.254084
2021-09-23 01:24:03.845347 : Epoch  9, Batch    342, Loss  0.773285, Average Loss  0.769179, Time  0.248580
2021-09-23 01:24:05.488253 : Epoch  9, Batch    204, Loss  0.766001, Average Loss  0.770824, Time  0.253109
2021-09-23 01:24:05.740636 : Epoch  9, Batch    343, Loss  0.776420, Average Loss  0.769274, Time  0.269253
2021-09-23 01:24:07.614278 : Epoch  9, Batch    344, Loss  0.766700, Average Loss  0.769239, Time  0.251489
2021-09-23 01:24:09.488940 : Epoch  9, Batch    345, Loss  0.773282, Average Loss  0.769235, Time  0.248702
2021-09-23 01:24:11.374070 : Epoch  9, Batch    346, Loss  0.772146, Average Loss  0.769213, Time  0.253541
2021-09-23 01:24:13.253040 : Epoch  9, Batch    347, Loss  0.764642, Average Loss  0.769195, Time  0.256553
2021-09-23 01:24:15.129334 : Epoch  9, Batch    348, Loss  0.769127, Average Loss  0.769195, Time  0.249036
2021-09-23 01:24:17.020052 : Epoch  9, Batch    349, Loss  0.776380, Average Loss  0.769212, Time  0.250356
2021-09-23 01:24:18.896786 : Epoch  9, Batch    350, Loss  0.765420, Average Loss  0.769120, Time  0.249882
2021-09-23 01:24:20.875918 : Epoch  9, Batch    351, Loss  0.766225, Average Loss  0.769113, Time  0.324734
2021-09-23 01:24:22.762746 : Epoch  9, Batch    352, Loss  0.776389, Average Loss  0.769134, Time  0.248741
2021-09-23 01:24:24.629888 : Epoch  9, Batch    353, Loss  0.771772, Average Loss  0.769099, Time  0.248493
2021-09-23 01:24:26.515818 : Epoch  9, Batch    354, Loss  0.763573, Average Loss  0.769089, Time  0.254545
2021-09-23 01:24:28.404871 : Epoch  9, Batch    355, Loss  0.764820, Average Loss  0.769131, Time  0.251187
2021-09-23 01:24:30.310043 : Epoch  9, Batch    356, Loss  0.772565, Average Loss  0.769124, Time  0.253107
2021-09-23 01:24:32.178716 : Epoch  9, Batch    357, Loss  0.780056, Average Loss  0.769144, Time  0.248656
2021-09-23 01:24:34.144932 : Epoch  9, Batch    358, Loss  0.776651, Average Loss  0.769186, Time  0.335526
2021-09-23 01:24:36.018851 : Epoch  9, Batch    359, Loss  0.772062, Average Loss  0.769199, Time  0.250799
2021-09-23 01:24:37.904542 : Epoch  9, Batch    360, Loss  0.758552, Average Loss  0.769207, Time  0.272989
2021-09-23 01:24:39.799265 : Epoch  9, Batch    361, Loss  0.779015, Average Loss  0.769295, Time  0.253984
2021-09-23 01:24:41.694939 : Epoch  9, Batch    362, Loss  0.779066, Average Loss  0.769317, Time  0.255476
2021-09-23 01:24:43.586805 : Epoch  9, Batch    363, Loss  0.772694, Average Loss  0.769292, Time  0.249579
2021-09-23 01:24:45.457833 : Epoch  9, Batch    364, Loss  0.782099, Average Loss  0.769311, Time  0.249483
2021-09-23 01:24:47.339877 : Epoch  9, Batch    365, Loss  0.778657, Average Loss  0.769307, Time  0.248727
2021-09-23 01:24:49.296818 : Epoch  9, Batch    366, Loss  0.761043, Average Loss  0.769244, Time  0.327188
2021-09-23 01:24:51.176846 : Epoch  9, Batch    367, Loss  0.768537, Average Loss  0.769180, Time  0.248738
2021-09-23 01:24:53.050983 : Epoch  9, Batch    368, Loss  0.774342, Average Loss  0.769191, Time  0.249862
2021-09-23 01:24:54.935870 : Epoch  9, Batch    369, Loss  0.778556, Average Loss  0.769212, Time  0.254939
2021-09-23 01:24:56.815842 : Epoch  9, Batch    370, Loss  0.766245, Average Loss  0.769204, Time  0.250148
2021-09-23 01:24:58.701933 : Epoch  9, Batch    371, Loss  0.764713, Average Loss  0.769151, Time  0.249085
2021-09-23 01:25:00.568887 : Epoch  9, Batch    372, Loss  0.771401, Average Loss  0.769190, Time  0.253868
2021-09-23 01:25:02.513064 : Epoch  9, Batch    373, Loss  0.771904, Average Loss  0.769157, Time  0.322258
2021-09-23 01:25:04.401524 : Epoch  9, Batch    374, Loss  0.785157, Average Loss  0.769220, Time  0.258419
2021-09-23 01:25:08.111706 : Epoch  9, Batch    375, Loss  0.764638, Average Loss  0.769244, Time  0.260717
2021-09-23 01:25:10.045715 : Epoch  9, Batch    376, Loss  0.768484, Average Loss  0.769223, Time  0.252041
2021-09-23 01:25:11.919962 : Epoch  9, Batch    377, Loss  0.764625, Average Loss  0.769202, Time  0.247613
2021-09-23 01:25:13.784785 : Epoch  9, Batch    378, Loss  0.766946, Average Loss  0.769185, Time  0.248301
2021-09-23 01:25:15.670606 : Epoch  9, Batch    379, Loss  0.772299, Average Loss  0.769124, Time  0.248158
2021-09-23 01:25:16.395675 : CheckPoint: Validation Loss  0.00032917, Best Loss  0.00030514
2021-09-23 01:25:17.549057 : Epoch  9, Batch    380, Loss  0.763729, Average Loss  0.769074, Time  0.252625
2021-09-23 01:25:18.276907 : Epoch  9, Batch    205, Loss  0.773237, Average Loss  0.770873, Time  0.252701
2021-09-23 01:25:19.442112 : Epoch  9, Batch    381, Loss  0.764168, Average Loss  0.769094, Time  0.267311
2021-09-23 01:25:20.179957 : Epoch  9, Batch    206, Loss  0.768973, Average Loss  0.770888, Time  0.254726
2021-09-23 01:25:21.345084 : Epoch  9, Batch    382, Loss  0.764368, Average Loss  0.769085, Time  0.258284
2021-09-23 01:25:22.079852 : Epoch  9, Batch    207, Loss  0.770658, Average Loss  0.770874, Time  0.253998
2021-09-23 01:25:23.239522 : Epoch  9, Batch    383, Loss  0.773622, Average Loss  0.769120, Time  0.250384
2021-09-23 01:25:23.992971 : Epoch  9, Batch    208, Loss  0.766539, Average Loss  0.770814, Time  0.253324
2021-09-23 01:25:25.137780 : Epoch  9, Batch    384, Loss  0.765800, Average Loss  0.769119, Time  0.248552
2021-09-23 01:25:25.878856 : Epoch  9, Batch    209, Loss  0.765909, Average Loss  0.770803, Time  0.253920
2021-09-23 01:25:27.017959 : Epoch  9, Batch    385, Loss  0.773435, Average Loss  0.769080, Time  0.250982
2021-09-23 01:25:27.792275 : Epoch  9, Batch    210, Loss  0.781994, Average Loss  0.770856, Time  0.251819
2021-09-23 01:25:28.886223 : Epoch  9, Batch    386, Loss  0.767230, Average Loss  0.769050, Time  0.248153
2021-09-23 01:25:29.735039 : Epoch  9, Batch    211, Loss  0.770024, Average Loss  0.770886, Time  0.256808
2021-09-23 01:25:30.767890 : Epoch  9, Batch    387, Loss  0.766485, Average Loss  0.769055, Time  0.249128
2021-09-23 01:25:31.649169 : Epoch  9, Batch    212, Loss  0.767723, Average Loss  0.770946, Time  0.258504
2021-09-23 01:25:32.673157 : Epoch  9, Batch    388, Loss  0.770036, Average Loss  0.769118, Time  0.248764
2021-09-23 01:25:33.557728 : Epoch  9, Batch    213, Loss  0.778522, Average Loss  0.770984, Time  0.251917
2021-09-23 01:25:34.554380 : Epoch  9, Batch    389, Loss  0.781761, Average Loss  0.769164, Time  0.248588
2021-09-23 01:25:35.454633 : Epoch  9, Batch    214, Loss  0.768044, Average Loss  0.770949, Time  0.253827
2021-09-23 01:25:36.452487 : Epoch  9, Batch    390, Loss  0.766369, Average Loss  0.769189, Time  0.248613
2021-09-23 01:25:37.362700 : Epoch  9, Batch    215, Loss  0.770492, Average Loss  0.770912, Time  0.252051
2021-09-23 01:25:38.328749 : Epoch  9, Batch    391, Loss  0.769943, Average Loss  0.769168, Time  0.252119
2021-09-23 01:25:39.280446 : Epoch  9, Batch    216, Loss  0.780272, Average Loss  0.770907, Time  0.256350
2021-09-23 01:25:40.236491 : Epoch  9, Batch    392, Loss  0.765298, Average Loss  0.769128, Time  0.252656
2021-09-23 01:25:41.194061 : Epoch  9, Batch    217, Loss  0.761066, Average Loss  0.770844, Time  0.253475
2021-09-23 01:25:42.127659 : Epoch  9, Batch    393, Loss  0.773698, Average Loss  0.769119, Time  0.250069
2021-09-23 01:25:43.108564 : Epoch  9, Batch    218, Loss  0.783048, Average Loss  0.770879, Time  0.259647
2021-09-23 01:25:44.020863 : Epoch  9, Batch    394, Loss  0.767675, Average Loss  0.769137, Time  0.248509
2021-09-23 01:25:45.015999 : Epoch  9, Batch    219, Loss  0.753868, Average Loss  0.770749, Time  0.254237
2021-09-23 01:25:45.914950 : Epoch  9, Batch    395, Loss  0.767832, Average Loss  0.769163, Time  0.248485
2021-09-23 01:25:46.937899 : Epoch  9, Batch    220, Loss  0.770153, Average Loss  0.770751, Time  0.251820
2021-09-23 01:25:47.809243 : Epoch  9, Batch    396, Loss  0.772413, Average Loss  0.769209, Time  0.248545
2021-09-23 01:25:48.841073 : Epoch  9, Batch    221, Loss  0.784851, Average Loss  0.770865, Time  0.255660
2021-09-23 01:25:49.672581 : Epoch  9, Batch    397, Loss  0.764215, Average Loss  0.769167, Time  0.250431
2021-09-23 01:25:50.739245 : Epoch  9, Batch    222, Loss  0.776732, Average Loss  0.770892, Time  0.256372
2021-09-23 01:25:51.563855 : Epoch  9, Batch    398, Loss  0.766034, Average Loss  0.769226, Time  0.251548
2021-09-23 01:25:52.634852 : Epoch  9, Batch    223, Loss  0.762621, Average Loss  0.770867, Time  0.255631
2021-09-23 01:25:53.448970 : Epoch  9, Batch    399, Loss  0.761761, Average Loss  0.769237, Time  0.252954
2021-09-23 01:25:54.548993 : Epoch  9, Batch    224, Loss  0.778458, Average Loss  0.770848, Time  0.251270
2021-09-23 01:25:55.333162 : Epoch  9, Batch    400, Loss  0.768264, Average Loss  0.769209, Time  0.248898
2021-09-23 01:25:56.453736 : Epoch  9, Batch    225, Loss  0.784564, Average Loss  0.770900, Time  0.254179
2021-09-23 01:25:57.203418 : Epoch  9, Batch    401, Loss  0.782187, Average Loss  0.769261, Time  0.248363
2021-09-23 01:25:58.361856 : Epoch  9, Batch    226, Loss  0.770240, Average Loss  0.770981, Time  0.263616
2021-09-23 01:25:59.087853 : Epoch  9, Batch    402, Loss  0.773639, Average Loss  0.769315, Time  0.248056
2021-09-23 01:26:00.282770 : Epoch  9, Batch    227, Loss  0.763949, Average Loss  0.770973, Time  0.252845
2021-09-23 01:26:00.973381 : Epoch  9, Batch    403, Loss  0.779484, Average Loss  0.769407, Time  0.254549
2021-09-23 01:26:02.189011 : Epoch  9, Batch    228, Loss  0.768832, Average Loss  0.770982, Time  0.255528
2021-09-23 01:26:02.845813 : Epoch  9, Batch    404, Loss  0.770965, Average Loss  0.769405, Time  0.248522
2021-09-23 01:26:04.111709 : Epoch  9, Batch    229, Loss  0.766303, Average Loss  0.770941, Time  0.254195
2021-09-23 01:26:06.016541 : Epoch  9, Batch    230, Loss  0.770536, Average Loss  0.770981, Time  0.252782
2021-09-23 01:26:07.935823 : Epoch  9, Batch    231, Loss  0.774181, Average Loss  0.771005, Time  0.251952
2021-09-23 01:26:09.883099 : Epoch  9, Batch    232, Loss  0.769532, Average Loss  0.770973, Time  0.291597
2021-09-23 01:26:11.776851 : Epoch  9, Batch    233, Loss  0.777203, Average Loss  0.771012, Time  0.251091
2021-09-23 01:26:13.713234 : Epoch  9, Batch    234, Loss  0.766180, Average Loss  0.770975, Time  0.250967
2021-09-23 01:26:15.644926 : Epoch  9, Batch    235, Loss  0.766016, Average Loss  0.771001, Time  0.255626
2021-09-23 01:26:17.560998 : Epoch  9, Batch    236, Loss  0.772172, Average Loss  0.771021, Time  0.252823
2021-09-23 01:26:19.477051 : Epoch  9, Batch    237, Loss  0.776628, Average Loss  0.771015, Time  0.257903
2021-09-23 01:26:21.423848 : Epoch  9, Batch    238, Loss  0.773528, Average Loss  0.771013, Time  0.293834
2021-09-23 01:26:23.332801 : Epoch  9, Batch    239, Loss  0.759715, Average Loss  0.771008, Time  0.259368
2021-09-23 01:26:25.241737 : Epoch  9, Batch    240, Loss  0.780693, Average Loss  0.771030, Time  0.252839
2021-09-23 01:26:27.150400 : Epoch  9, Batch    241, Loss  0.770741, Average Loss  0.771054, Time  0.253379
2021-09-23 01:26:29.050593 : Epoch  9, Batch    242, Loss  0.767088, Average Loss  0.771038, Time  0.253021
2021-09-23 01:26:30.935286 : Epoch  9, Batch    243, Loss  0.767500, Average Loss  0.771009, Time  0.252070
2021-09-23 01:26:32.931359 : Epoch  9, Batch    244, Loss  0.775140, Average Loss  0.771055, Time  0.342986
2021-09-23 01:26:34.822545 : Epoch  9, Batch    245, Loss  0.772408, Average Loss  0.771093, Time  0.251056
2021-09-23 01:26:36.728807 : Epoch  9, Batch    246, Loss  0.768915, Average Loss  0.771069, Time  0.251138
2021-09-23 01:26:38.630948 : Epoch  9, Batch    247, Loss  0.764581, Average Loss  0.771038, Time  0.251389
2021-09-23 01:26:40.553318 : Epoch  9, Batch    248, Loss  0.777815, Average Loss  0.771046, Time  0.255953
2021-09-23 01:26:42.462226 : Epoch  9, Batch    249, Loss  0.779321, Average Loss  0.771081, Time  0.250750
2021-09-23 01:26:44.440898 : Epoch  9, Batch    250, Loss  0.766899, Average Loss  0.771069, Time  0.329554
2021-09-23 01:26:46.353743 : Epoch  9, Batch    251, Loss  0.767500, Average Loss  0.771069, Time  0.257965
2021-09-23 01:26:48.251246 : Epoch  9, Batch    252, Loss  0.775871, Average Loss  0.771110, Time  0.252399
2021-09-23 01:26:50.158623 : Epoch  9, Batch    253, Loss  0.764633, Average Loss  0.770967, Time  0.251841
2021-09-23 01:26:52.051750 : Epoch  9, Batch    254, Loss  0.769842, Average Loss  0.770920, Time  0.254026
2021-09-23 01:26:53.946294 : Epoch  9, Batch    255, Loss  0.770596, Average Loss  0.770959, Time  0.255282
2021-09-23 01:26:55.902296 : Epoch  9, Batch    256, Loss  0.770367, Average Loss  0.770990, Time  0.326580
2021-09-23 01:26:57.794738 : Epoch  9, Batch    257, Loss  0.762172, Average Loss  0.771000, Time  0.254810
2021-09-23 01:26:59.688109 : Epoch  9, Batch    258, Loss  0.771617, Average Loss  0.771016, Time  0.252875
2021-09-23 01:27:01.596795 : Epoch  9, Batch    259, Loss  0.769608, Average Loss  0.771067, Time  0.262882
2021-09-23 01:27:03.489856 : Epoch  9, Batch    260, Loss  0.754278, Average Loss  0.770973, Time  0.252115
2021-09-23 01:27:05.396801 : Epoch  9, Batch    261, Loss  0.769062, Average Loss  0.770981, Time  0.251833
2021-09-23 01:27:07.336282 : Epoch  9, Batch    262, Loss  0.773605, Average Loss  0.770976, Time  0.291476
2021-09-23 01:27:09.249518 : Epoch  9, Batch    263, Loss  0.774138, Average Loss  0.771005, Time  0.256324
2021-09-23 01:27:11.157564 : Epoch  9, Batch    264, Loss  0.769003, Average Loss  0.770978, Time  0.252269
2021-09-23 01:27:12.908172 : CheckPoint: Validation Loss  0.00031986, Best Loss  0.00030606
2021-09-23 01:27:13.106190 : Epoch  9, Batch    265, Loss  0.765869, Average Loss  0.770940, Time  0.283128
2021-09-23 01:27:14.807081 : Epoch  9, Batch    405, Loss  0.773694, Average Loss  0.769434, Time  0.261154
2021-09-23 01:27:15.034194 : Epoch  9, Batch    266, Loss  0.769087, Average Loss  0.770975, Time  0.261409
2021-09-23 01:27:16.673855 : Epoch  9, Batch    406, Loss  0.773533, Average Loss  0.769451, Time  0.249776
2021-09-23 01:27:16.929998 : Epoch  9, Batch    267, Loss  0.766441, Average Loss  0.770908, Time  0.258177
2021-09-23 01:27:18.555834 : Epoch  9, Batch    407, Loss  0.765192, Average Loss  0.769403, Time  0.251186
2021-09-23 01:27:18.828224 : Epoch  9, Batch    268, Loss  0.774021, Average Loss  0.770971, Time  0.251351
2021-09-23 01:27:20.427900 : Epoch  9, Batch    408, Loss  0.765001, Average Loss  0.769355, Time  0.251168
2021-09-23 01:27:20.736514 : Epoch  9, Batch    269, Loss  0.768862, Average Loss  0.770978, Time  0.260879
2021-09-23 01:27:22.336225 : Epoch  9, Batch    409, Loss  0.764663, Average Loss  0.769341, Time  0.256705
2021-09-23 01:27:22.635879 : Epoch  9, Batch    270, Loss  0.773799, Average Loss  0.771027, Time  0.258579
2021-09-23 01:27:24.198275 : Epoch  9, Batch    410, Loss  0.764565, Average Loss  0.769312, Time  0.249241
2021-09-23 01:27:24.572833 : Epoch  9, Batch    271, Loss  0.764324, Average Loss  0.771026, Time  0.266049
2021-09-23 01:27:26.074359 : Epoch  9, Batch    411, Loss  0.764007, Average Loss  0.769283, Time  0.250057
2021-09-23 01:27:26.470010 : Epoch  9, Batch    272, Loss  0.767260, Average Loss  0.771040, Time  0.257815
2021-09-23 01:27:27.945032 : Epoch  9, Batch    412, Loss  0.761610, Average Loss  0.769200, Time  0.248013
2021-09-23 01:27:28.381379 : Epoch  9, Batch    273, Loss  0.758524, Average Loss  0.770971, Time  0.252949
2021-09-23 01:27:29.821475 : Epoch  9, Batch    413, Loss  0.759542, Average Loss  0.769125, Time  0.248157
2021-09-23 01:27:30.298402 : Epoch  9, Batch    274, Loss  0.760234, Average Loss  0.770909, Time  0.263533
2021-09-23 01:27:31.709091 : Epoch  9, Batch    414, Loss  0.770215, Average Loss  0.769096, Time  0.252180
2021-09-23 01:27:33.586902 : Epoch  9, Batch    415, Loss  0.775296, Average Loss  0.769120, Time  0.250002
2021-09-23 01:27:33.982064 : Epoch  9, Batch    275, Loss  0.769669, Average Loss  0.770908, Time  0.262091
2021-09-23 01:27:35.468726 : Epoch  9, Batch    416, Loss  0.764820, Average Loss  0.769139, Time  0.248124
2021-09-23 01:27:35.891281 : Epoch  9, Batch    276, Loss  0.781127, Average Loss  0.770976, Time  0.268908
2021-09-23 01:27:37.353133 : Epoch  9, Batch    417, Loss  0.763982, Average Loss  0.769084, Time  0.249425
2021-09-23 01:27:37.805342 : Epoch  9, Batch    277, Loss  0.769371, Average Loss  0.770912, Time  0.256159
2021-09-23 01:27:39.242536 : Epoch  9, Batch    418, Loss  0.763184, Average Loss  0.769112, Time  0.250544
2021-09-23 01:27:39.716383 : Epoch  9, Batch    278, Loss  0.772396, Average Loss  0.770911, Time  0.257139
2021-09-23 01:27:39.912831 : CheckPoint: Validation Loss  0.00014869, Best Loss  0.00014643
2021-09-23 01:27:41.148640 : Epoch  9, Batch    419, Loss  0.761751, Average Loss  0.769083, Time  0.253714
2021-09-23 01:27:41.628901 : Epoch  9, Batch    279, Loss  0.769377, Average Loss  0.770854, Time  0.253057
2021-09-23 01:27:43.037814 : Epoch  9, Batch    420, Loss  0.778701, Average Loss  0.769154, Time  0.251500
2021-09-23 01:27:43.531614 : Epoch  9, Batch    280, Loss  0.774903, Average Loss  0.770879, Time  0.252812
2021-09-23 01:27:44.937861 : Epoch  9, Batch    421, Loss  0.778061, Average Loss  0.769208, Time  0.248865
2021-09-23 01:27:44.956838 : Epoch  4, Batch    817, Loss  0.858242, Average Loss  0.869470, Time  0.441544
2021-09-23 01:27:45.444628 : Epoch  9, Batch    281, Loss  0.772983, Average Loss  0.770874, Time  0.252525
2021-09-23 01:27:46.839492 : Epoch  9, Batch    422, Loss  0.770015, Average Loss  0.769210, Time  0.250718
2021-09-23 01:27:47.359682 : Epoch  9, Batch    282, Loss  0.776347, Average Loss  0.770869, Time  0.252184
2021-09-23 01:27:48.711812 : Epoch  9, Batch    423, Loss  0.779597, Average Loss  0.769217, Time  0.260240
2021-09-23 01:27:49.294749 : Epoch  9, Batch    283, Loss  0.770971, Average Loss  0.770839, Time  0.252431
2021-09-23 01:27:49.981546 : Epoch  4, Batch    818, Loss  0.870702, Average Loss  0.869550, Time  0.413335
2021-09-23 01:27:50.589179 : Epoch  9, Batch    424, Loss  0.776828, Average Loss  0.769230, Time  0.249203
2021-09-23 01:27:51.221133 : Epoch  9, Batch    284, Loss  0.760695, Average Loss  0.770801, Time  0.253249
2021-09-23 01:27:52.490843 : Epoch  9, Batch    425, Loss  0.759882, Average Loss  0.769131, Time  0.251482
2021-09-23 01:27:53.127239 : Epoch  9, Batch    285, Loss  0.765815, Average Loss  0.770757, Time  0.255532
2021-09-23 01:27:54.383022 : Epoch  9, Batch    426, Loss  0.769644, Average Loss  0.769163, Time  0.247188
2021-09-23 01:27:54.994801 : Epoch  4, Batch    819, Loss  0.871924, Average Loss  0.869482, Time  0.413361
2021-09-23 01:27:55.060758 : Epoch  9, Batch    286, Loss  0.774747, Average Loss  0.770785, Time  0.255840
2021-09-23 01:27:56.264745 : Epoch  9, Batch    427, Loss  0.764541, Average Loss  0.769108, Time  0.255458
2021-09-23 01:27:56.961852 : Epoch  9, Batch    287, Loss  0.770057, Average Loss  0.770751, Time  0.252870
2021-09-23 01:27:58.144857 : Epoch  9, Batch    428, Loss  0.779794, Average Loss  0.769114, Time  0.248425
2021-09-23 01:27:58.887729 : Epoch  9, Batch    288, Loss  0.762467, Average Loss  0.770656, Time  0.269665
2021-09-23 01:28:00.015738 : Epoch  4, Batch    820, Loss  0.863962, Average Loss  0.869389, Time  0.413419
2021-09-23 01:28:00.036290 : Epoch  9, Batch    429, Loss  0.775361, Average Loss  0.769147, Time  0.249013
2021-09-23 01:28:00.820930 : Epoch  9, Batch    289, Loss  0.761503, Average Loss  0.770623, Time  0.250987
2021-09-23 01:28:01.949859 : Epoch  9, Batch    430, Loss  0.768573, Average Loss  0.769169, Time  0.255367
2021-09-23 01:28:02.731300 : Epoch  9, Batch    290, Loss  0.773190, Average Loss  0.770656, Time  0.256185
2021-09-23 01:28:03.839729 : Epoch  9, Batch    431, Loss  0.774677, Average Loss  0.769210, Time  0.251540
2021-09-23 01:28:04.651157 : Epoch  9, Batch    291, Loss  0.769441, Average Loss  0.770623, Time  0.253692
2021-09-23 01:28:05.018757 : Epoch  4, Batch    821, Loss  0.861181, Average Loss  0.869254, Time  0.413100
2021-09-23 01:28:05.729942 : Epoch  9, Batch    432, Loss  0.778981, Average Loss  0.769221, Time  0.252789
2021-09-23 01:28:06.551028 : Epoch  9, Batch    292, Loss  0.760104, Average Loss  0.770594, Time  0.256750
2021-09-23 01:28:07.617982 : Epoch  9, Batch    433, Loss  0.769813, Average Loss  0.769243, Time  0.250905
2021-09-23 01:28:08.439291 : Epoch  9, Batch    293, Loss  0.774327, Average Loss  0.770622, Time  0.254520
2021-09-23 01:28:09.501071 : Epoch  9, Batch    434, Loss  0.769308, Average Loss  0.769261, Time  0.249692
2021-09-23 01:28:10.030850 : Epoch  4, Batch    822, Loss  0.859158, Average Loss  0.869161, Time  0.413809
2021-09-23 01:28:10.355359 : Epoch  9, Batch    294, Loss  0.758624, Average Loss  0.770581, Time  0.256796
2021-09-23 01:28:11.383982 : Epoch  9, Batch    435, Loss  0.777583, Average Loss  0.769245, Time  0.250032
2021-09-23 01:28:12.248700 : Epoch  9, Batch    295, Loss  0.770471, Average Loss  0.770594, Time  0.251150
2021-09-23 01:28:13.255768 : Epoch  9, Batch    436, Loss  0.763290, Average Loss  0.769219, Time  0.249091
2021-09-23 01:28:14.174305 : Epoch  9, Batch    296, Loss  0.776136, Average Loss  0.770640, Time  0.253927
2021-09-23 01:28:15.049045 : Epoch  4, Batch    823, Loss  0.860247, Average Loss  0.869151, Time  0.414373
2021-09-23 01:28:15.127542 : Epoch  9, Batch    437, Loss  0.769413, Average Loss  0.769193, Time  0.255159
2021-09-23 01:28:16.080165 : Epoch  9, Batch    297, Loss  0.769277, Average Loss  0.770651, Time  0.254722
2021-09-23 01:28:16.251907 : Epoch  9, Batch    298, Loss  0.768774, Average Loss  0.770625, Time  0.115570
2021-09-23 01:28:17.015125 : Epoch  9, Batch    438, Loss  0.761026, Average Loss  0.769083, Time  0.251117
2021-09-23 01:28:18.157249 : Epoch  9, Batch    299, Loss  0.773120, Average Loss  0.770589, Time  0.251811
2021-09-23 01:28:18.917073 : Epoch  9, Batch    439, Loss  0.760109, Average Loss  0.769037, Time  0.248394
2021-09-23 01:28:20.064955 : Epoch  9, Batch    300, Loss  0.762947, Average Loss  0.770569, Time  0.252494
2021-09-23 01:28:20.094808 : Epoch  4, Batch    824, Loss  0.875609, Average Loss  0.869189, Time  0.413167
2021-09-23 01:28:20.799142 : Epoch  9, Batch    440, Loss  0.774345, Average Loss  0.769102, Time  0.251368
2021-09-23 01:28:21.993195 : Epoch  9, Batch    301, Loss  0.767186, Average Loss  0.770535, Time  0.255871
2021-09-23 01:28:22.698071 : Epoch  9, Batch    441, Loss  0.775978, Average Loss  0.769162, Time  0.249227
2021-09-23 01:28:23.893950 : Epoch  9, Batch    302, Loss  0.767849, Average Loss  0.770496, Time  0.254526
2021-09-23 01:28:24.574897 : Epoch  9, Batch    442, Loss  0.773422, Average Loss  0.769236, Time  0.251460
2021-09-23 01:28:25.118840 : Epoch  4, Batch    825, Loss  0.873888, Average Loss  0.869165, Time  0.414400
2021-09-23 01:28:25.796348 : Epoch  9, Batch    303, Loss  0.758401, Average Loss  0.770419, Time  0.251302
2021-09-23 01:28:26.446838 : Epoch  9, Batch    443, Loss  0.776082, Average Loss  0.769269, Time  0.248712
2021-09-23 01:28:27.738091 : Epoch  9, Batch    304, Loss  0.759309, Average Loss  0.770361, Time  0.253588
2021-09-23 01:28:28.343633 : Epoch  9, Batch    444, Loss  0.761642, Average Loss  0.769234, Time  0.259493
2021-09-23 01:28:30.202945 : Epoch  4, Batch    826, Loss  0.859977, Average Loss  0.869084, Time  0.464410
2021-09-23 01:28:30.226126 : Epoch  9, Batch    445, Loss  0.772965, Average Loss  0.769275, Time  0.248782
2021-09-23 01:28:32.110113 : Epoch  9, Batch    446, Loss  0.764170, Average Loss  0.769222, Time  0.247955
2021-09-23 01:28:33.974936 : Epoch  9, Batch    447, Loss  0.773510, Average Loss  0.769247, Time  0.248916
2021-09-23 01:28:35.284739 : Epoch  4, Batch    827, Loss  0.878443, Average Loss  0.869171, Time  0.419120
2021-09-23 01:28:35.867845 : Epoch  9, Batch    448, Loss  0.765673, Average Loss  0.769283, Time  0.257508
2021-09-23 01:28:37.745941 : Epoch  9, Batch    449, Loss  0.752056, Average Loss  0.769214, Time  0.250336
2021-09-23 01:28:39.725036 : Epoch  9, Batch    450, Loss  0.766287, Average Loss  0.769208, Time  0.330929
2021-09-23 01:28:40.297041 : Epoch  4, Batch    828, Loss  0.872428, Average Loss  0.869212, Time  0.413607
2021-09-23 01:28:41.615991 : Epoch  9, Batch    451, Loss  0.772271, Average Loss  0.769211, Time  0.254891
2021-09-23 01:28:43.499391 : Epoch  9, Batch    452, Loss  0.760956, Average Loss  0.769128, Time  0.248565
2021-09-23 01:28:45.318808 : Epoch  4, Batch    829, Loss  0.889588, Average Loss  0.869326, Time  0.413030
2021-09-23 01:28:45.392970 : Epoch  9, Batch    453, Loss  0.761978, Average Loss  0.769131, Time  0.250443
2021-09-23 01:28:47.302816 : Epoch  9, Batch    454, Loss  0.764806, Average Loss  0.769150, Time  0.251284
2021-09-23 01:28:49.186134 : Epoch  9, Batch    455, Loss  0.765198, Average Loss  0.769136, Time  0.248811
2021-09-23 01:28:50.343747 : Epoch  4, Batch    830, Loss  0.865721, Average Loss  0.869319, Time  0.413273
2021-09-23 01:28:51.111878 : Epoch  9, Batch    456, Loss  0.762244, Average Loss  0.769148, Time  0.252824
2021-09-23 01:28:53.080764 : Epoch  9, Batch    457, Loss  0.771347, Average Loss  0.769130, Time  0.334262
2021-09-23 01:28:54.951369 : Epoch  9, Batch    458, Loss  0.764641, Average Loss  0.769106, Time  0.251362
2021-09-23 01:28:55.355983 : Epoch  4, Batch    831, Loss  0.874011, Average Loss  0.869302, Time  0.413061
2021-09-23 01:28:56.815978 : Epoch  9, Batch    459, Loss  0.772235, Average Loss  0.769146, Time  0.249136
2021-09-23 01:28:58.718010 : Epoch  9, Batch    460, Loss  0.770267, Average Loss  0.769169, Time  0.250249
2021-09-23 01:29:00.379021 : Epoch  4, Batch    832, Loss  0.876874, Average Loss  0.869329, Time  0.413054
2021-09-23 01:29:00.603379 : Epoch  9, Batch    461, Loss  0.771315, Average Loss  0.769238, Time  0.248270
2021-09-23 01:29:02.475917 : Epoch  9, Batch    462, Loss  0.756006, Average Loss  0.769157, Time  0.251231
2021-09-23 01:29:04.345868 : Epoch  9, Batch    463, Loss  0.771540, Average Loss  0.769176, Time  0.248599
2021-09-23 01:29:05.391963 : Epoch  4, Batch    833, Loss  0.863097, Average Loss  0.869351, Time  0.413120
2021-09-23 01:29:06.213896 : Epoch  9, Batch    464, Loss  0.774899, Average Loss  0.769220, Time  0.250747
2021-09-23 01:29:08.174770 : Epoch  9, Batch    465, Loss  0.769550, Average Loss  0.769257, Time  0.333879
2021-09-23 01:29:10.076303 : Epoch  9, Batch    466, Loss  0.759988, Average Loss  0.769258, Time  0.255366
2021-09-23 01:29:10.439836 : Epoch  4, Batch    834, Loss  0.855915, Average Loss  0.869291, Time  0.413902
2021-09-23 01:29:11.962515 : Epoch  9, Batch    467, Loss  0.774263, Average Loss  0.769280, Time  0.256411
2021-09-23 01:29:13.823956 : Epoch  9, Batch    468, Loss  0.763950, Average Loss  0.769251, Time  0.254086
2021-09-23 01:29:15.570022 : Epoch  4, Batch    835, Loss  0.870041, Average Loss  0.869296, Time  0.459959
2021-09-23 01:29:15.708800 : Epoch  9, Batch    469, Loss  0.782538, Average Loss  0.769333, Time  0.255610
2021-09-23 01:29:17.581822 : Epoch  9, Batch    470, Loss  0.775564, Average Loss  0.769364, Time  0.252009
2021-09-23 01:29:19.455900 : Epoch  9, Batch    471, Loss  0.780932, Average Loss  0.769372, Time  0.250321
2021-09-23 01:29:20.635762 : Epoch  4, Batch    836, Loss  0.868833, Average Loss  0.869333, Time  0.415129
2021-09-23 01:29:21.329800 : Epoch  9, Batch    472, Loss  0.766475, Average Loss  0.769341, Time  0.249928
2021-09-23 01:29:23.200952 : Epoch  9, Batch    473, Loss  0.757658, Average Loss  0.769265, Time  0.250046
2021-09-23 01:29:25.154222 : Epoch  9, Batch    474, Loss  0.776197, Average Loss  0.769263, Time  0.326585
2021-09-23 01:29:25.648655 : Epoch  4, Batch    837, Loss  0.874148, Average Loss  0.869412, Time  0.414072
2021-09-23 01:29:28.964840 : Epoch  9, Batch    475, Loss  0.759970, Average Loss  0.769205, Time  0.253158
2021-09-23 01:29:30.645249 : Epoch  4, Batch    838, Loss  0.866050, Average Loss  0.869374, Time  0.413732
2021-09-23 01:29:30.851358 : Epoch  9, Batch    476, Loss  0.766735, Average Loss  0.769150, Time  0.253702
2021-09-23 01:29:32.713559 : Epoch  9, Batch    477, Loss  0.770002, Average Loss  0.769108, Time  0.248102
2021-09-23 01:29:34.582937 : Epoch  9, Batch    478, Loss  0.764152, Average Loss  0.769084, Time  0.250381
2021-09-23 01:29:35.670008 : Epoch  4, Batch    839, Loss  0.878383, Average Loss  0.869388, Time  0.414297
2021-09-23 01:29:36.479128 : Epoch  9, Batch    479, Loss  0.772532, Average Loss  0.769194, Time  0.249988
2021-09-23 01:29:38.437548 : Epoch  9, Batch    480, Loss  0.776738, Average Loss  0.769267, Time  0.326203
2021-09-23 01:29:38.973801 : CheckPoint: Validation Loss  0.00032110, Best Loss  0.00030514
2021-09-23 01:29:40.320752 : Epoch  9, Batch    481, Loss  0.766354, Average Loss  0.769237, Time  0.261110
2021-09-23 01:29:40.723758 : Epoch  4, Batch    840, Loss  0.872880, Average Loss  0.869386, Time  0.413575
2021-09-23 01:29:40.864452 : Epoch  9, Batch    305, Loss  0.777532, Average Loss  0.770407, Time  0.251615
2021-09-23 01:29:42.215029 : Epoch  9, Batch    482, Loss  0.775116, Average Loss  0.769248, Time  0.248636
2021-09-23 01:29:42.763232 : Epoch  9, Batch    306, Loss  0.769320, Average Loss  0.770405, Time  0.253031
2021-09-23 01:29:44.098908 : Epoch  9, Batch    483, Loss  0.758127, Average Loss  0.769197, Time  0.247948
2021-09-23 01:29:44.686677 : Epoch  9, Batch    307, Loss  0.770437, Average Loss  0.770426, Time  0.251990
2021-09-23 01:29:45.730752 : Epoch  4, Batch    841, Loss  0.867956, Average Loss  0.869303, Time  0.413142
2021-09-23 01:29:45.992911 : Epoch  9, Batch    484, Loss  0.757854, Average Loss  0.769213, Time  0.254485
2021-09-23 01:29:46.604091 : Epoch  9, Batch    308, Loss  0.775200, Average Loss  0.770437, Time  0.262139
2021-09-23 01:29:47.851891 : Epoch  9, Batch    485, Loss  0.757533, Average Loss  0.769183, Time  0.248640
2021-09-23 01:29:48.503178 : Epoch  9, Batch    309, Loss  0.768014, Average Loss  0.770456, Time  0.250996
2021-09-23 01:29:49.734988 : Epoch  9, Batch    486, Loss  0.766529, Average Loss  0.769121, Time  0.250155
2021-09-23 01:29:50.425692 : Epoch  9, Batch    310, Loss  0.781432, Average Loss  0.770555, Time  0.251520
2021-09-23 01:29:50.782042 : Epoch  4, Batch    842, Loss  0.867559, Average Loss  0.869278, Time  0.413370
2021-09-23 01:29:51.608675 : Epoch  9, Batch    487, Loss  0.764396, Average Loss  0.769137, Time  0.250438
2021-09-23 01:29:52.351677 : Epoch  9, Batch    311, Loss  0.775406, Average Loss  0.770576, Time  0.251907
2021-09-23 01:29:53.475869 : Epoch  9, Batch    488, Loss  0.751341, Average Loss  0.769021, Time  0.250540
2021-09-23 01:29:54.257669 : Epoch  9, Batch    312, Loss  0.768214, Average Loss  0.770515, Time  0.254089
2021-09-23 01:29:55.378448 : Epoch  9, Batch    489, Loss  0.776974, Average Loss  0.768996, Time  0.250614
2021-09-23 01:29:55.776075 : Epoch  4, Batch    843, Loss  0.887405, Average Loss  0.869310, Time  0.413248
2021-09-23 01:29:56.162857 : Epoch  9, Batch    313, Loss  0.784143, Average Loss  0.770483, Time  0.254260
2021-09-23 01:29:57.254257 : Epoch  9, Batch    490, Loss  0.774490, Average Loss  0.769007, Time  0.249610
2021-09-23 01:29:58.062020 : Epoch  9, Batch    314, Loss  0.777790, Average Loss  0.770495, Time  0.251881
2021-09-23 01:29:59.129657 : Epoch  9, Batch    491, Loss  0.766765, Average Loss  0.768970, Time  0.251320
2021-09-23 01:29:59.946006 : Epoch  9, Batch    315, Loss  0.775037, Average Loss  0.770492, Time  0.251924
2021-09-23 01:30:00.812835 : Epoch  4, Batch    844, Loss  0.879576, Average Loss  0.869339, Time  0.449133
2021-09-23 01:30:01.038993 : Epoch  9, Batch    492, Loss  0.763720, Average Loss  0.768969, Time  0.249453
2021-09-23 01:30:01.848139 : Epoch  9, Batch    316, Loss  0.766235, Average Loss  0.770445, Time  0.253707
2021-09-23 01:30:02.927412 : Epoch  9, Batch    493, Loss  0.770182, Average Loss  0.768979, Time  0.252945
2021-09-23 01:30:03.782350 : Epoch  9, Batch    317, Loss  0.772266, Average Loss  0.770411, Time  0.255646
2021-09-23 01:30:04.806019 : Epoch  9, Batch    494, Loss  0.780215, Average Loss  0.769068, Time  0.250066
2021-09-23 01:30:05.686661 : Epoch  9, Batch    318, Loss  0.770670, Average Loss  0.770380, Time  0.255200
2021-09-23 01:30:05.821627 : Epoch  4, Batch    845, Loss  0.875788, Average Loss  0.869394, Time  0.413628
2021-09-23 01:30:06.684822 : Epoch  9, Batch    495, Loss  0.777520, Average Loss  0.769117, Time  0.251620
2021-09-23 01:30:07.579254 : Epoch  9, Batch    319, Loss  0.783074, Average Loss  0.770403, Time  0.250901
2021-09-23 01:30:08.555930 : Epoch  9, Batch    496, Loss  0.765182, Average Loss  0.769100, Time  0.250935
2021-09-23 01:30:09.475579 : Epoch  9, Batch    320, Loss  0.766101, Average Loss  0.770394, Time  0.255155
2021-09-23 01:30:10.425314 : Epoch  9, Batch    497, Loss  0.756991, Average Loss  0.769017, Time  0.251387
2021-09-23 01:30:10.832086 : Epoch  4, Batch    846, Loss  0.869608, Average Loss  0.869368, Time  0.413181
2021-09-23 01:30:11.369011 : Epoch  9, Batch    321, Loss  0.770512, Average Loss  0.770379, Time  0.254585
2021-09-23 01:30:12.306879 : Epoch  9, Batch    498, Loss  0.763020, Average Loss  0.768979, Time  0.255482
2021-09-23 01:30:13.286500 : Epoch  9, Batch    322, Loss  0.768983, Average Loss  0.770344, Time  0.258337
2021-09-23 01:30:14.193064 : Epoch  9, Batch    499, Loss  0.781679, Average Loss  0.769049, Time  0.250752
2021-09-23 01:30:15.186007 : Epoch  9, Batch    323, Loss  0.768576, Average Loss  0.770345, Time  0.252726
2021-09-23 01:30:15.899981 : Epoch  4, Batch    847, Loss  0.871126, Average Loss  0.869397, Time  0.413404
2021-09-23 01:30:16.079937 : Epoch  9, Batch    500, Loss  0.768982, Average Loss  0.769000, Time  0.250916
2021-09-23 01:30:17.088909 : Epoch  9, Batch    324, Loss  0.766746, Average Loss  0.770317, Time  0.253470
2021-09-23 01:30:17.948144 : Epoch  9, Batch    501, Loss  0.764306, Average Loss  0.768905, Time  0.249957
2021-09-23 01:30:18.985855 : Epoch  9, Batch    325, Loss  0.766437, Average Loss  0.770274, Time  0.254172
2021-09-23 01:30:19.837157 : Epoch  9, Batch    502, Loss  0.762303, Average Loss  0.768909, Time  0.254666
2021-09-23 01:30:20.887044 : Epoch  9, Batch    326, Loss  0.765548, Average Loss  0.770263, Time  0.253027
2021-09-23 01:30:20.919856 : Epoch  4, Batch    848, Loss  0.885148, Average Loss  0.869464, Time  0.414513
2021-09-23 01:30:21.716229 : Epoch  9, Batch    503, Loss  0.756519, Average Loss  0.768867, Time  0.247566
2021-09-23 01:30:22.792193 : Epoch  9, Batch    327, Loss  0.769198, Average Loss  0.770283, Time  0.254327
2021-09-23 01:30:23.621323 : Epoch  9, Batch    504, Loss  0.766953, Average Loss  0.768838, Time  0.253927
2021-09-23 01:30:24.709938 : Epoch  9, Batch    328, Loss  0.769388, Average Loss  0.770270, Time  0.254245
2021-09-23 01:30:25.952920 : Epoch  4, Batch    849, Loss  0.862950, Average Loss  0.869448, Time  0.423156
2021-09-23 01:30:26.615731 : Epoch  9, Batch    329, Loss  0.770939, Average Loss  0.770292, Time  0.255532
2021-09-23 01:30:28.516055 : Epoch  9, Batch    330, Loss  0.766097, Average Loss  0.770258, Time  0.254066
2021-09-23 01:30:30.504477 : Epoch  9, Batch    331, Loss  0.756821, Average Loss  0.770153, Time  0.329903
2021-09-23 01:30:30.968064 : Epoch  4, Batch    850, Loss  0.855870, Average Loss  0.869402, Time  0.414017
2021-09-23 01:30:32.407028 : Epoch  9, Batch    332, Loss  0.756539, Average Loss  0.770088, Time  0.253878
2021-09-23 01:30:34.315084 : Epoch  9, Batch    333, Loss  0.774884, Average Loss  0.770139, Time  0.255006
2021-09-23 01:30:36.026982 : Epoch  4, Batch    851, Loss  0.872728, Average Loss  0.869439, Time  0.413653
2021-09-23 01:30:36.210920 : Epoch  9, Batch    334, Loss  0.764738, Average Loss  0.770092, Time  0.255434
2021-09-23 01:30:38.114790 : Epoch  9, Batch    335, Loss  0.781017, Average Loss  0.770109, Time  0.251205
2021-09-23 01:30:40.012311 : Epoch  9, Batch    336, Loss  0.783048, Average Loss  0.770163, Time  0.253613
2021-09-23 01:30:41.049790 : Epoch  4, Batch    852, Loss  0.865251, Average Loss  0.869440, Time  0.413525
2021-09-23 01:30:41.976901 : Epoch  9, Batch    337, Loss  0.766257, Average Loss  0.770180, Time  0.319622
2021-09-23 01:30:43.888228 : Epoch  9, Batch    338, Loss  0.768161, Average Loss  0.770207, Time  0.256412
2021-09-23 01:30:45.816013 : Epoch  9, Batch    339, Loss  0.770474, Average Loss  0.770184, Time  0.280793
2021-09-23 01:30:46.110936 : Epoch  4, Batch    853, Loss  0.876235, Average Loss  0.869475, Time  0.460417
2021-09-23 01:30:47.725982 : Epoch  9, Batch    340, Loss  0.773115, Average Loss  0.770208, Time  0.252987
2021-09-23 01:30:49.632079 : Epoch  9, Batch    341, Loss  0.771407, Average Loss  0.770215, Time  0.254705
2021-09-23 01:30:51.175908 : Epoch  4, Batch    854, Loss  0.877357, Average Loss  0.869507, Time  0.415018
2021-09-23 01:30:51.535291 : Epoch  9, Batch    342, Loss  0.762393, Average Loss  0.770151, Time  0.254709
2021-09-23 01:30:53.450050 : Epoch  9, Batch    343, Loss  0.758326, Average Loss  0.770080, Time  0.261860
2021-09-23 01:30:55.366983 : Epoch  9, Batch    344, Loss  0.773454, Average Loss  0.770136, Time  0.265257
2021-09-23 01:30:56.181899 : Epoch  4, Batch    855, Loss  0.873278, Average Loss  0.869559, Time  0.413342
2021-09-23 01:30:57.260533 : Epoch  9, Batch    345, Loss  0.774685, Average Loss  0.770134, Time  0.251825
2021-09-23 01:30:59.161822 : Epoch  9, Batch    346, Loss  0.766739, Average Loss  0.770087, Time  0.253468
2021-09-23 01:31:01.058117 : Epoch  9, Batch    347, Loss  0.767228, Average Loss  0.770127, Time  0.253905
2021-09-23 01:31:01.271845 : Epoch  4, Batch    856, Loss  0.850143, Average Loss  0.869456, Time  0.413097
2021-09-23 01:31:02.977944 : Epoch  9, Batch    348, Loss  0.764779, Average Loss  0.770085, Time  0.254098
2021-09-23 01:31:04.891019 : Epoch  9, Batch    349, Loss  0.767848, Average Loss  0.770026, Time  0.252151
2021-09-23 01:31:06.277016 : Epoch  4, Batch    857, Loss  0.860564, Average Loss  0.869424, Time  0.413126
2021-09-23 01:31:06.873851 : Epoch  9, Batch    350, Loss  0.779192, Average Loss  0.770101, Time  0.327082
2021-09-23 01:31:08.777194 : Epoch  9, Batch    351, Loss  0.773020, Average Loss  0.770083, Time  0.255779
2021-09-23 01:31:10.694373 : Epoch  9, Batch    352, Loss  0.769908, Average Loss  0.770050, Time  0.261420
2021-09-23 01:31:11.274996 : Epoch  4, Batch    858, Loss  0.867082, Average Loss  0.869397, Time  0.413318
2021-09-23 01:31:12.629903 : Epoch  9, Batch    353, Loss  0.764909, Average Loss  0.769943, Time  0.253772
2021-09-23 01:31:14.539394 : Epoch  9, Batch    354, Loss  0.767681, Average Loss  0.769953, Time  0.264487
2021-09-23 01:31:16.285959 : Epoch  4, Batch    859, Loss  0.884620, Average Loss  0.869455, Time  0.413979
2021-09-23 01:31:16.456312 : Epoch  9, Batch    355, Loss  0.777668, Average Loss  0.769943, Time  0.251591
2021-09-23 01:31:18.341283 : Epoch  9, Batch    356, Loss  0.783111, Average Loss  0.770019, Time  0.251565
2021-09-23 01:31:20.292275 : Epoch  9, Batch    357, Loss  0.780390, Average Loss  0.770069, Time  0.297490
2021-09-23 01:31:21.289142 : Epoch  4, Batch    860, Loss  0.871896, Average Loss  0.869457, Time  0.414531
2021-09-23 01:31:22.206970 : Epoch  9, Batch    358, Loss  0.764467, Average Loss  0.770078, Time  0.253592
2021-09-23 01:31:24.137862 : Epoch  9, Batch    359, Loss  0.763899, Average Loss  0.770113, Time  0.252687
2021-09-23 01:31:26.057401 : Epoch  9, Batch    360, Loss  0.771942, Average Loss  0.770141, Time  0.255423
2021-09-23 01:31:26.319733 : Epoch  4, Batch    861, Loss  0.867373, Average Loss  0.869362, Time  0.414248
2021-09-23 01:31:27.979022 : Epoch  9, Batch    361, Loss  0.772263, Average Loss  0.770156, Time  0.261820
2021-09-23 01:31:29.884826 : Epoch  9, Batch    362, Loss  0.770150, Average Loss  0.770154, Time  0.252799
2021-09-23 01:31:31.361985 : Epoch  4, Batch    862, Loss  0.887598, Average Loss  0.869517, Time  0.454499
2021-09-23 01:31:31.849621 : Epoch  9, Batch    363, Loss  0.758353, Average Loss  0.770099, Time  0.326879
2021-09-23 01:31:33.755944 : Epoch  9, Batch    364, Loss  0.770672, Average Loss  0.770097, Time  0.253394
2021-09-23 01:31:33.899674 : CheckPoint: Validation Loss  0.00031719, Best Loss  0.00030606
2021-09-23 01:31:35.828144 : Epoch  9, Batch    365, Loss  0.776882, Average Loss  0.770123, Time  0.428663
2021-09-23 01:31:35.916114 : Epoch  9, Batch    505, Loss  0.762806, Average Loss  0.768779, Time  0.392138
2021-09-23 01:31:36.401840 : Epoch  4, Batch    863, Loss  0.859911, Average Loss  0.869462, Time  0.414219
2021-09-23 01:31:37.997778 : Epoch  9, Batch    366, Loss  0.779564, Average Loss  0.770183, Time  0.505603
2021-09-23 01:31:38.026118 : Epoch  9, Batch    506, Loss  0.775002, Average Loss  0.768793, Time  0.474553
2021-09-23 01:31:40.143881 : Epoch  9, Batch    507, Loss  0.776162, Average Loss  0.768802, Time  0.509274
2021-09-23 01:31:40.180284 : Epoch  9, Batch    367, Loss  0.766776, Average Loss  0.770135, Time  0.495915
2021-09-23 01:31:41.422615 : Epoch  4, Batch    864, Loss  0.846887, Average Loss  0.869375, Time  0.415188
2021-09-23 01:31:42.230151 : Epoch  9, Batch    508, Loss  0.770556, Average Loss  0.768779, Time  0.461834
2021-09-23 01:31:42.288503 : Epoch  9, Batch    368, Loss  0.766296, Average Loss  0.770163, Time  0.438316
2021-09-23 01:31:44.332796 : Epoch  9, Batch    509, Loss  0.773787, Average Loss  0.768807, Time  0.478069
2021-09-23 01:31:44.377023 : Epoch  9, Batch    369, Loss  0.781601, Average Loss  0.770153, Time  0.445462
2021-09-23 01:31:46.462890 : Epoch  9, Batch    510, Loss  0.773273, Average Loss  0.768878, Time  0.502053
2021-09-23 01:31:46.495026 : Epoch  9, Batch    370, Loss  0.768517, Average Loss  0.770186, Time  0.443347
2021-09-23 01:31:48.654883 : Epoch  9, Batch    511, Loss  0.762251, Average Loss  0.768846, Time  0.509876
2021-09-23 01:31:48.684352 : Epoch  9, Batch    371, Loss  0.765703, Average Loss  0.770153, Time  0.494271
2021-09-23 01:31:50.758912 : Epoch  9, Batch    512, Loss  0.775357, Average Loss  0.768912, Time  0.491452
2021-09-23 01:31:50.790805 : Epoch  9, Batch    372, Loss  0.778765, Average Loss  0.770123, Time  0.450913
2021-09-23 01:31:51.496001 : Epoch  4, Batch    866, Loss  0.867300, Average Loss  0.869206, Time  0.413462
2021-09-23 01:31:52.918616 : Epoch  9, Batch    373, Loss  0.775099, Average Loss  0.770237, Time  0.492034
2021-09-23 01:31:52.949123 : Epoch  9, Batch    513, Loss  0.768447, Average Loss  0.768924, Time  0.453125
2021-09-23 01:31:55.072118 : Epoch  9, Batch    514, Loss  0.769011, Average Loss  0.768929, Time  0.512432
2021-09-23 01:31:55.105924 : Epoch  9, Batch    374, Loss  0.765551, Average Loss  0.770320, Time  0.520499
2021-09-23 01:31:56.501972 : Epoch  4, Batch    867, Loss  0.861292, Average Loss  0.869204, Time  0.413133
2021-09-23 01:31:56.999888 : Epoch  9, Batch    515, Loss  0.770268, Average Loss  0.768989, Time  0.252363
2021-09-23 01:31:58.956325 : Epoch  9, Batch    375, Loss  0.759188, Average Loss  0.770274, Time  0.436225
2021-09-23 01:31:59.033144 : Epoch  9, Batch    516, Loss  0.773500, Average Loss  0.769005, Time  0.403816
2021-09-23 01:32:01.128591 : Epoch  9, Batch    376, Loss  0.768196, Average Loss  0.770300, Time  0.508872
2021-09-23 01:32:01.167247 : Epoch  9, Batch    517, Loss  0.766822, Average Loss  0.769047, Time  0.472176
2021-09-23 01:32:01.517915 : Epoch  4, Batch    868, Loss  0.877987, Average Loss  0.869291, Time  0.413536
2021-09-23 01:32:03.298780 : Epoch  9, Batch    377, Loss  0.778220, Average Loss  0.770345, Time  0.516402
2021-09-23 01:32:03.330140 : Epoch  9, Batch    518, Loss  0.764004, Average Loss  0.769058, Time  0.494463
2021-09-23 01:32:05.482282 : Epoch  9, Batch    519, Loss  0.769855, Average Loss  0.769058, Time  0.516616
2021-09-23 01:32:05.512062 : Epoch  9, Batch    378, Loss  0.765628, Average Loss  0.770335, Time  0.522918
2021-09-23 01:32:06.528719 : Epoch  4, Batch    869, Loss  0.886972, Average Loss  0.869361, Time  0.413681
2021-09-23 01:32:07.611283 : Epoch  9, Batch    520, Loss  0.784730, Average Loss  0.769140, Time  0.509071
2021-09-23 01:32:07.647753 : Epoch  9, Batch    379, Loss  0.772164, Average Loss  0.770319, Time  0.449791
2021-09-23 01:32:09.701919 : Epoch  9, Batch    521, Loss  0.772706, Average Loss  0.769128, Time  0.464573
2021-09-23 01:32:09.759308 : Epoch  9, Batch    380, Loss  0.772774, Average Loss  0.770293, Time  0.433200
2021-09-23 01:32:11.532739 : Epoch  4, Batch    870, Loss  0.868876, Average Loss  0.869428, Time  0.413073
2021-09-23 01:32:11.839979 : Epoch  9, Batch    522, Loss  0.781910, Average Loss  0.769245, Time  0.498209
2021-09-23 01:32:11.864736 : Epoch  9, Batch    381, Loss  0.775654, Average Loss  0.770293, Time  0.473551
2021-09-23 01:32:13.947999 : Epoch  9, Batch    523, Loss  0.759103, Average Loss  0.769214, Time  0.499539
2021-09-23 01:32:13.978096 : Epoch  9, Batch    382, Loss  0.774574, Average Loss  0.770326, Time  0.456316
2021-09-23 01:32:16.061874 : Epoch  9, Batch    524, Loss  0.781134, Average Loss  0.769262, Time  0.499635
2021-09-23 01:32:16.092652 : Epoch  9, Batch    383, Loss  0.769249, Average Loss  0.770279, Time  0.477834
2021-09-23 01:32:16.554914 : Epoch  4, Batch    871, Loss  0.877452, Average Loss  0.869428, Time  0.435125
2021-09-23 01:32:18.218004 : Epoch  9, Batch    525, Loss  0.774478, Average Loss  0.769260, Time  0.525067
2021-09-23 01:32:18.251950 : Epoch  9, Batch    384, Loss  0.755325, Average Loss  0.770198, Time  0.503059
2021-09-23 01:32:20.347823 : Epoch  9, Batch    385, Loss  0.769068, Average Loss  0.770181, Time  0.479375
2021-09-23 01:32:20.372541 : Epoch  9, Batch    526, Loss  0.772678, Average Loss  0.769282, Time  0.519464
2021-09-23 01:32:21.565086 : Epoch  4, Batch    872, Loss  0.863079, Average Loss  0.869452, Time  0.413332
2021-09-23 01:32:22.500781 : Epoch  9, Batch    386, Loss  0.773332, Average Loss  0.770230, Time  0.515239
2021-09-23 01:32:22.534114 : Epoch  9, Batch    527, Loss  0.770833, Average Loss  0.769275, Time  0.491972
2021-09-23 01:32:24.669894 : Epoch  9, Batch    387, Loss  0.763542, Average Loss  0.770222, Time  0.518141
2021-09-23 01:32:24.670412 : Epoch  9, Batch    528, Loss  0.775134, Average Loss  0.769352, Time  0.515123
2021-09-23 01:32:26.582949 : Epoch  4, Batch    873, Loss  0.879336, Average Loss  0.869599, Time  0.413260
2021-09-23 01:32:26.834498 : Epoch  9, Batch    529, Loss  0.771196, Average Loss  0.769334, Time  0.517479
2021-09-23 01:32:26.859005 : Epoch  9, Batch    388, Loss  0.767816, Average Loss  0.770201, Time  0.527469
2021-09-23 01:32:28.928027 : Epoch  9, Batch    530, Loss  0.754000, Average Loss  0.769273, Time  0.493610
2021-09-23 01:32:28.964108 : Epoch  9, Batch    389, Loss  0.766749, Average Loss  0.770167, Time  0.466885
2021-09-23 01:32:31.053939 : Epoch  9, Batch    531, Loss  0.768140, Average Loss  0.769239, Time  0.499575
2021-09-23 01:32:31.097303 : Epoch  9, Batch    390, Loss  0.775778, Average Loss  0.770174, Time  0.474165
2021-09-23 01:32:31.599984 : Epoch  4, Batch    874, Loss  0.868803, Average Loss  0.869646, Time  0.414536
2021-09-23 01:32:33.180153 : Epoch  9, Batch    532, Loss  0.766752, Average Loss  0.769219, Time  0.500881
2021-09-23 01:32:33.211895 : Epoch  9, Batch    391, Loss  0.771248, Average Loss  0.770212, Time  0.469550
2021-09-23 01:32:35.293907 : Epoch  9, Batch    533, Loss  0.779468, Average Loss  0.769281, Time  0.496039
2021-09-23 01:32:35.327862 : Epoch  9, Batch    392, Loss  0.759922, Average Loss  0.770130, Time  0.469250
2021-09-23 01:32:36.610998 : Epoch  4, Batch    875, Loss  0.868576, Average Loss  0.869642, Time  0.414610
2021-09-23 01:32:37.457406 : Epoch  9, Batch    534, Loss  0.782023, Average Loss  0.769363, Time  0.512743
2021-09-23 01:32:37.485849 : Epoch  9, Batch    393, Loss  0.772520, Average Loss  0.770187, Time  0.498979
2021-09-23 01:32:39.569011 : Epoch  9, Batch    535, Loss  0.768017, Average Loss  0.769465, Time  0.488519
2021-09-23 01:32:39.600556 : Epoch  9, Batch    394, Loss  0.771754, Average Loss  0.770128, Time  0.456896
2021-09-23 01:32:41.610751 : Epoch  4, Batch    876, Loss  0.884228, Average Loss  0.869748, Time  0.413199
2021-09-23 01:32:41.695213 : Epoch  9, Batch    536, Loss  0.767129, Average Loss  0.769472, Time  0.504982
2021-09-23 01:32:41.713185 : Epoch  9, Batch    395, Loss  0.771972, Average Loss  0.770146, Time  0.488736
2021-09-23 01:32:43.799733 : Epoch  9, Batch    537, Loss  0.765191, Average Loss  0.769394, Time  0.494692
2021-09-23 01:32:43.827615 : Epoch  9, Batch    396, Loss  0.776984, Average Loss  0.770173, Time  0.464195
2021-09-23 01:32:45.919504 : Epoch  9, Batch    538, Loss  0.765376, Average Loss  0.769405, Time  0.496257
2021-09-23 01:32:45.942899 : Epoch  9, Batch    397, Loss  0.773160, Average Loss  0.770212, Time  0.470393
2021-09-23 01:32:46.634770 : Epoch  4, Batch    877, Loss  0.871476, Average Loss  0.869752, Time  0.413749
2021-09-23 01:32:48.003366 : Epoch  9, Batch    539, Loss  0.789912, Average Loss  0.769518, Time  0.486119
2021-09-23 01:32:48.044251 : Epoch  9, Batch    398, Loss  0.774287, Average Loss  0.770193, Time  0.451504
2021-09-23 01:32:50.111495 : Epoch  9, Batch    540, Loss  0.772682, Average Loss  0.769524, Time  0.498226
2021-09-23 01:32:50.143162 : Epoch  9, Batch    399, Loss  0.767872, Average Loss  0.770149, Time  0.466005
2021-09-23 01:32:51.643184 : Epoch  4, Batch    878, Loss  0.893375, Average Loss  0.869911, Time  0.413658
2021-09-23 01:32:52.242975 : Epoch  9, Batch    541, Loss  0.775327, Average Loss  0.769612, Time  0.505089
2021-09-23 01:32:52.271460 : Epoch  9, Batch    400, Loss  0.766782, Average Loss  0.770143, Time  0.490311
2021-09-23 01:32:54.339880 : Epoch  9, Batch    542, Loss  0.761759, Average Loss  0.769554, Time  0.496423
2021-09-23 01:32:54.369564 : Epoch  9, Batch    401, Loss  0.775463, Average Loss  0.770148, Time  0.466737
2021-09-23 01:32:56.483805 : Epoch  9, Batch    543, Loss  0.771572, Average Loss  0.769530, Time  0.507780
2021-09-23 01:32:56.509594 : Epoch  9, Batch    402, Loss  0.775903, Average Loss  0.770166, Time  0.489039
2021-09-23 01:32:56.759972 : Epoch  4, Batch    879, Loss  0.873152, Average Loss  0.869936, Time  0.412949
2021-09-23 01:32:58.605256 : Epoch  9, Batch    544, Loss  0.784821, Average Loss  0.769620, Time  0.503304
2021-09-23 01:32:58.632450 : Epoch  9, Batch    403, Loss  0.760935, Average Loss  0.770129, Time  0.485182
2021-09-23 01:33:00.775617 : Epoch  9, Batch    545, Loss  0.765594, Average Loss  0.769582, Time  0.515795
2021-09-23 01:33:00.806051 : Epoch  9, Batch    404, Loss  0.775170, Average Loss  0.770175, Time  0.516037
2021-09-23 01:33:01.797838 : Epoch  4, Batch    880, Loss  0.876867, Average Loss  0.869968, Time  0.451822
2021-09-23 01:33:02.662373 : Epoch  9, Batch    546, Loss  0.771936, Average Loss  0.769581, Time  0.261483
2021-09-23 01:33:04.560363 : Epoch  9, Batch    547, Loss  0.761591, Average Loss  0.769565, Time  0.255683
2021-09-23 01:33:06.430813 : Epoch  9, Batch    548, Loss  0.766294, Average Loss  0.769551, Time  0.249548
2021-09-23 01:33:06.805757 : Epoch  4, Batch    881, Loss  0.867561, Average Loss  0.869926, Time  0.413198
2021-09-23 01:33:08.318229 : Epoch  9, Batch    549, Loss  0.775971, Average Loss  0.769549, Time  0.250072
2021-09-23 01:33:10.187248 : Epoch  9, Batch    550, Loss  0.757243, Average Loss  0.769508, Time  0.249565
2021-09-23 01:33:11.796033 : Epoch  4, Batch    882, Loss  0.870678, Average Loss  0.869927, Time  0.413661
2021-09-23 01:33:12.067375 : Epoch  9, Batch    551, Loss  0.772088, Average Loss  0.769538, Time  0.249083
2021-09-23 01:33:13.936739 : Epoch  9, Batch    552, Loss  0.772222, Average Loss  0.769517, Time  0.249455
2021-09-23 01:33:15.817930 : Epoch  9, Batch    553, Loss  0.763887, Average Loss  0.769477, Time  0.249290
2021-09-23 01:33:16.810735 : Epoch  4, Batch    883, Loss  0.880940, Average Loss  0.870033, Time  0.413289
2021-09-23 01:33:17.769857 : Epoch  9, Batch    554, Loss  0.776090, Average Loss  0.769540, Time  0.324691
2021-09-23 01:33:19.654932 : Epoch  9, Batch    555, Loss  0.767167, Average Loss  0.769552, Time  0.252751
2021-09-23 01:33:21.537017 : Epoch  9, Batch    556, Loss  0.771186, Average Loss  0.769545, Time  0.251532
2021-09-23 01:33:21.863757 : Epoch  4, Batch    884, Loss  0.877681, Average Loss  0.870088, Time  0.413462
2021-09-23 01:33:23.426233 : Epoch  9, Batch    557, Loss  0.768196, Average Loss  0.769486, Time  0.249008
2021-09-23 01:33:25.319305 : Epoch  9, Batch    558, Loss  0.764099, Average Loss  0.769423, Time  0.257119
2021-09-23 01:33:26.856965 : Epoch  4, Batch    885, Loss  0.873283, Average Loss  0.870072, Time  0.413081
2021-09-23 01:33:27.191723 : Epoch  9, Batch    559, Loss  0.770527, Average Loss  0.769415, Time  0.251252
2021-09-23 01:33:29.072772 : Epoch  9, Batch    560, Loss  0.764922, Average Loss  0.769447, Time  0.251605
2021-09-23 01:33:30.957921 : Epoch  9, Batch    561, Loss  0.772870, Average Loss  0.769416, Time  0.253315
2021-09-23 01:33:31.881961 : Epoch  4, Batch    886, Loss  0.868843, Average Loss  0.870048, Time  0.414981
2021-09-23 01:33:32.914704 : Epoch  9, Batch    562, Loss  0.769094, Average Loss  0.769366, Time  0.328652
2021-09-23 01:33:34.780864 : Epoch  9, Batch    563, Loss  0.768132, Average Loss  0.769344, Time  0.249243
2021-09-23 01:33:36.669834 : Epoch  9, Batch    564, Loss  0.769654, Average Loss  0.769281, Time  0.248139
2021-09-23 01:33:36.888956 : Epoch  4, Batch    887, Loss  0.879302, Average Loss  0.870039, Time  0.413141
2021-09-23 01:33:38.564274 : Epoch  9, Batch    565, Loss  0.763672, Average Loss  0.769206, Time  0.256082
2021-09-23 01:33:40.445526 : Epoch  9, Batch    566, Loss  0.770367, Average Loss  0.769253, Time  0.256432
2021-09-23 01:33:41.900804 : Epoch  4, Batch    888, Loss  0.875081, Average Loss  0.870012, Time  0.413840
2021-09-23 01:33:42.317297 : Epoch  9, Batch    567, Loss  0.773312, Average Loss  0.769277, Time  0.249075
2021-09-23 01:33:44.186416 : Epoch  9, Batch    568, Loss  0.772505, Average Loss  0.769268, Time  0.258372
2021-09-23 01:33:46.130012 : Epoch  9, Batch    569, Loss  0.777292, Average Loss  0.769261, Time  0.323428
2021-09-23 01:33:46.964071 : Epoch  4, Batch    889, Loss  0.870550, Average Loss  0.870068, Time  0.462791
2021-09-23 01:33:48.008287 : Epoch  9, Batch    570, Loss  0.764560, Average Loss  0.769253, Time  0.251333
2021-09-23 01:33:49.882105 : Epoch  9, Batch    571, Loss  0.772690, Average Loss  0.769293, Time  0.252787
2021-09-23 01:33:51.781966 : Epoch  9, Batch    572, Loss  0.771029, Average Loss  0.769291, Time  0.252681
2021-09-23 01:33:51.981994 : Epoch  4, Batch    890, Loss  0.867391, Average Loss  0.870068, Time  0.413614
2021-09-23 01:33:53.656842 : Epoch  9, Batch    573, Loss  0.771927, Average Loss  0.769291, Time  0.257276
2021-09-23 01:33:55.532591 : Epoch  9, Batch    574, Loss  0.767954, Average Loss  0.769205, Time  0.250656
2021-09-23 01:33:56.993795 : Epoch  4, Batch    891, Loss  0.886725, Average Loss  0.870106, Time  0.413846
2021-09-23 01:33:59.209492 : Epoch  9, Batch    575, Loss  0.784429, Average Loss  0.769304, Time  0.250373
2021-09-23 01:34:01.180413 : Epoch  9, Batch    576, Loss  0.770913, Average Loss  0.769316, Time  0.325560
2021-09-23 01:34:02.016845 : Epoch  4, Batch    892, Loss  0.868954, Average Loss  0.870105, Time  0.413162
2021-09-23 01:34:03.058008 : Epoch  9, Batch    577, Loss  0.770131, Average Loss  0.769344, Time  0.254400
2021-09-23 01:34:04.927742 : Epoch  9, Batch    578, Loss  0.768740, Average Loss  0.769353, Time  0.248661
2021-09-23 01:34:06.802008 : Epoch  9, Batch    579, Loss  0.773581, Average Loss  0.769359, Time  0.249877
2021-09-23 01:34:07.035886 : Epoch  4, Batch    893, Loss  0.859250, Average Loss  0.870113, Time  0.423014
2021-09-23 01:34:08.687474 : Epoch  9, Batch    580, Loss  0.775370, Average Loss  0.769417, Time  0.255677
2021-09-23 01:34:10.565710 : Epoch  9, Batch    581, Loss  0.764398, Average Loss  0.769419, Time  0.249412
2021-09-23 01:34:11.746710 : CheckPoint: Validation Loss  0.00031679, Best Loss  0.00030514
2021-09-23 01:34:12.042077 : Epoch  4, Batch    894, Loss  0.866292, Average Loss  0.870032, Time  0.413271
2021-09-23 01:34:12.459829 : Epoch  9, Batch    582, Loss  0.763631, Average Loss  0.769415, Time  0.247922
2021-09-23 01:34:13.647954 : Epoch  9, Batch    405, Loss  0.776132, Average Loss  0.770189, Time  0.256796
2021-09-23 01:34:14.322901 : Epoch  9, Batch    583, Loss  0.784278, Average Loss  0.769468, Time  0.250183
2021-09-23 01:34:15.561042 : Epoch  9, Batch    406, Loss  0.771842, Average Loss  0.770204, Time  0.254951
2021-09-23 01:34:16.203343 : Epoch  9, Batch    584, Loss  0.764987, Average Loss  0.769464, Time  0.260184
2021-09-23 01:34:17.069060 : Epoch  4, Batch    895, Loss  0.856851, Average Loss  0.869939, Time  0.413446
2021-09-23 01:34:17.483018 : Epoch  9, Batch    407, Loss  0.772260, Average Loss  0.770212, Time  0.253469
2021-09-23 01:34:18.063407 : Epoch  9, Batch    585, Loss  0.773175, Average Loss  0.769463, Time  0.252707
2021-09-23 01:34:19.394975 : Epoch  9, Batch    408, Loss  0.776192, Average Loss  0.770260, Time  0.267436
2021-09-23 01:34:19.950145 : Epoch  9, Batch    586, Loss  0.770619, Average Loss  0.769480, Time  0.251316
2021-09-23 01:34:21.312688 : Epoch  9, Batch    409, Loss  0.770307, Average Loss  0.770282, Time  0.253209
2021-09-23 01:34:21.893670 : Epoch  9, Batch    587, Loss  0.769166, Average Loss  0.769493, Time  0.249237
2021-09-23 01:34:22.075997 : Epoch  4, Batch    896, Loss  0.880370, Average Loss  0.870009, Time  0.413338
2021-09-23 01:34:23.208665 : Epoch  9, Batch    410, Loss  0.770087, Average Loss  0.770222, Time  0.256239
2021-09-23 01:34:23.768048 : Epoch  9, Batch    588, Loss  0.769207, Average Loss  0.769489, Time  0.249446
2021-09-23 01:34:25.105794 : Epoch  9, Batch    411, Loss  0.779877, Average Loss  0.770272, Time  0.253546
2021-09-23 01:34:25.664020 : Epoch  9, Batch    589, Loss  0.772510, Average Loss  0.769443, Time  0.249666
2021-09-23 01:34:27.008954 : Epoch  9, Batch    412, Loss  0.775059, Average Loss  0.770308, Time  0.251356
2021-09-23 01:34:27.088855 : Epoch  4, Batch    897, Loss  0.866599, Average Loss  0.870044, Time  0.413633
2021-09-23 01:34:27.532005 : Epoch  9, Batch    590, Loss  0.768282, Average Loss  0.769452, Time  0.248917
2021-09-23 01:34:28.901994 : Epoch  9, Batch    413, Loss  0.766261, Average Loss  0.770247, Time  0.261818
2021-09-23 01:34:29.420200 : Epoch  9, Batch    591, Loss  0.781255, Average Loss  0.769509, Time  0.248727
2021-09-23 01:34:30.841129 : Epoch  9, Batch    414, Loss  0.768535, Average Loss  0.770250, Time  0.255262
2021-09-23 01:34:31.293776 : Epoch  9, Batch    592, Loss  0.767468, Average Loss  0.769520, Time  0.250919
2021-09-23 01:34:32.146274 : Epoch  4, Batch    898, Loss  0.855927, Average Loss  0.869909, Time  0.462164
2021-09-23 01:34:32.750390 : Epoch  9, Batch    415, Loss  0.755561, Average Loss  0.770175, Time  0.258872
2021-09-23 01:34:33.158988 : Epoch  9, Batch    593, Loss  0.778620, Average Loss  0.769544, Time  0.249021
2021-09-23 01:34:34.661198 : Epoch  9, Batch    416, Loss  0.763047, Average Loss  0.770089, Time  0.250809
2021-09-23 01:34:35.051341 : Epoch  9, Batch    594, Loss  0.760981, Average Loss  0.769511, Time  0.254336
2021-09-23 01:34:36.572669 : Epoch  9, Batch    417, Loss  0.778773, Average Loss  0.770177, Time  0.253616
2021-09-23 01:34:36.928906 : Epoch  9, Batch    595, Loss  0.762555, Average Loss  0.769484, Time  0.248311
2021-09-23 01:34:37.161361 : Epoch  4, Batch    899, Loss  0.881625, Average Loss  0.870011, Time  0.414280
2021-09-23 01:34:38.475119 : Epoch  9, Batch    418, Loss  0.758679, Average Loss  0.770055, Time  0.252228
2021-09-23 01:34:38.803836 : Epoch  9, Batch    596, Loss  0.773965, Average Loss  0.769492, Time  0.249317
2021-09-23 01:34:40.389959 : Epoch  9, Batch    419, Loss  0.774960, Average Loss  0.770161, Time  0.252858
2021-09-23 01:34:40.664317 : Epoch  9, Batch    597, Loss  0.780757, Average Loss  0.769575, Time  0.250782
2021-09-23 01:34:42.164791 : Epoch  4, Batch    900, Loss  0.861095, Average Loss  0.870029, Time  0.414035
2021-09-23 01:34:42.304581 : Epoch  9, Batch    420, Loss  0.776241, Average Loss  0.770191, Time  0.257266
2021-09-23 01:34:42.545021 : Epoch  9, Batch    598, Loss  0.752630, Average Loss  0.769508, Time  0.265235
2021-09-23 01:34:44.227073 : Epoch  9, Batch    421, Loss  0.763945, Average Loss  0.770087, Time  0.258527
2021-09-23 01:34:44.449284 : Epoch  9, Batch    599, Loss  0.764948, Average Loss  0.769524, Time  0.262831
2021-09-23 01:34:46.224820 : Epoch  9, Batch    422, Loss  0.773471, Average Loss  0.770071, Time  0.338308
2021-09-23 01:34:46.375942 : Epoch  9, Batch    600, Loss  0.767698, Average Loss  0.769521, Time  0.294641
2021-09-23 01:34:47.183770 : Epoch  4, Batch    901, Loss  0.871862, Average Loss  0.869987, Time  0.414000
2021-09-23 01:34:48.368496 : Epoch  9, Batch    423, Loss  0.759573, Average Loss  0.770055, Time  0.462974
2021-09-23 01:34:48.417996 : Epoch  9, Batch    601, Loss  0.774722, Average Loss  0.769484, Time  0.422266
2021-09-23 01:34:50.531919 : Epoch  9, Batch    602, Loss  0.776500, Average Loss  0.769498, Time  0.494555
2021-09-23 01:34:50.568443 : Epoch  9, Batch    424, Loss  0.766770, Average Loss  0.769997, Time  0.517198
2021-09-23 01:34:52.201018 : Epoch  4, Batch    902, Loss  0.873337, Average Loss  0.870012, Time  0.414402
2021-09-23 01:34:52.609871 : Epoch  9, Batch    603, Loss  0.764207, Average Loss  0.769422, Time  0.466645
2021-09-23 01:34:52.665422 : Epoch  9, Batch    425, Loss  0.772482, Average Loss  0.769936, Time  0.429610
2021-09-23 01:34:54.681296 : Epoch  9, Batch    604, Loss  0.771430, Average Loss  0.769424, Time  0.457842
2021-09-23 01:34:54.740561 : Epoch  9, Batch    426, Loss  0.775270, Average Loss  0.769962, Time  0.428234
2021-09-23 01:34:56.657844 : Epoch  9, Batch    427, Loss  0.774077, Average Loss  0.770012, Time  0.254943
2021-09-23 01:34:57.203981 : Epoch  4, Batch    903, Loss  0.864596, Average Loss  0.870008, Time  0.413617
2021-09-23 01:34:58.565918 : Epoch  9, Batch    428, Loss  0.775219, Average Loss  0.770044, Time  0.263857
2021-09-23 01:35:00.488814 : Epoch  9, Batch    429, Loss  0.760907, Average Loss  0.770017, Time  0.255826
2021-09-23 01:35:02.215841 : Epoch  4, Batch    904, Loss  0.870414, Average Loss  0.870001, Time  0.413135
2021-09-23 01:35:02.381884 : Epoch  9, Batch    430, Loss  0.778243, Average Loss  0.770056, Time  0.252244
2021-09-23 01:35:04.279471 : Epoch  9, Batch    431, Loss  0.757127, Average Loss  0.769970, Time  0.252450
2021-09-23 01:35:06.180314 : Epoch  9, Batch    432, Loss  0.769140, Average Loss  0.769968, Time  0.250759
2021-09-23 01:35:07.246758 : Epoch  4, Batch    905, Loss  0.865479, Average Loss  0.869956, Time  0.413153
2021-09-23 01:35:08.137913 : Epoch  9, Batch    433, Loss  0.767136, Average Loss  0.769918, Time  0.325761
2021-09-23 01:35:10.037234 : Epoch  9, Batch    434, Loss  0.764831, Average Loss  0.769911, Time  0.253576
2021-09-23 01:35:11.928722 : Epoch  9, Batch    435, Loss  0.768066, Average Loss  0.769922, Time  0.253132
2021-09-23 01:35:12.254843 : Epoch  4, Batch    906, Loss  0.892219, Average Loss  0.870018, Time  0.413446
2021-09-23 01:35:13.841215 : Epoch  9, Batch    436, Loss  0.774891, Average Loss  0.769935, Time  0.252080
2021-09-23 01:35:15.754181 : Epoch  9, Batch    437, Loss  0.776495, Average Loss  0.769935, Time  0.251771
2021-09-23 01:35:17.324028 : Epoch  4, Batch    907, Loss  0.876216, Average Loss  0.870063, Time  0.465304
2021-09-23 01:35:17.651150 : Epoch  9, Batch    438, Loss  0.775743, Average Loss  0.769946, Time  0.252395
2021-09-23 01:35:19.651784 : Epoch  9, Batch    439, Loss  0.770607, Average Loss  0.770000, Time  0.329777
2021-09-23 01:35:21.580214 : Epoch  9, Batch    440, Loss  0.770717, Average Loss  0.769950, Time  0.266163
2021-09-23 01:35:22.335987 : Epoch  4, Batch    908, Loss  0.868616, Average Loss  0.870007, Time  0.418395
2021-09-23 01:35:23.487610 : Epoch  9, Batch    441, Loss  0.768736, Average Loss  0.769940, Time  0.253037
2021-09-23 01:35:25.378550 : Epoch  9, Batch    442, Loss  0.762201, Average Loss  0.769916, Time  0.250980
2021-09-23 01:35:27.288846 : Epoch  9, Batch    443, Loss  0.772388, Average Loss  0.769940, Time  0.251518
2021-09-23 01:35:27.352777 : Epoch  4, Batch    909, Loss  0.872795, Average Loss  0.870060, Time  0.413276
2021-09-23 01:35:29.201468 : Epoch  9, Batch    444, Loss  0.761867, Average Loss  0.769874, Time  0.254676
2021-09-23 01:35:31.179003 : Epoch  9, Batch    445, Loss  0.777957, Average Loss  0.769902, Time  0.333964
2021-09-23 01:35:32.374005 : Epoch  4, Batch    910, Loss  0.854554, Average Loss  0.869959, Time  0.413294
2021-09-23 01:35:33.069067 : Epoch  9, Batch    446, Loss  0.775459, Average Loss  0.769934, Time  0.254349
2021-09-23 01:35:34.966966 : Epoch  9, Batch    447, Loss  0.761924, Average Loss  0.769921, Time  0.252867
2021-09-23 01:35:36.872341 : Epoch  9, Batch    448, Loss  0.777347, Average Loss  0.769919, Time  0.251658
2021-09-23 01:35:37.388891 : Epoch  4, Batch    911, Loss  0.858322, Average Loss  0.869887, Time  0.415152
2021-09-23 01:35:38.781847 : Epoch  9, Batch    449, Loss  0.770872, Average Loss  0.769876, Time  0.254918
2021-09-23 01:35:40.687364 : Epoch  9, Batch    450, Loss  0.762629, Average Loss  0.769855, Time  0.254432
2021-09-23 01:35:42.406763 : Epoch  4, Batch    912, Loss  0.889891, Average Loss  0.870049, Time  0.413802
2021-09-23 01:35:42.577414 : Epoch  9, Batch    451, Loss  0.759549, Average Loss  0.769815, Time  0.253608
2021-09-23 01:35:44.530978 : Epoch  9, Batch    452, Loss  0.769664, Average Loss  0.769784, Time  0.302076
2021-09-23 01:35:46.462907 : Epoch  9, Batch    453, Loss  0.760010, Average Loss  0.769761, Time  0.252923
2021-09-23 01:35:47.410886 : Epoch  4, Batch    913, Loss  0.870666, Average Loss  0.870051, Time  0.417323
2021-09-23 01:35:48.367258 : Epoch  9, Batch    454, Loss  0.766394, Average Loss  0.769744, Time  0.252058
2021-09-23 01:35:50.259328 : Epoch  9, Batch    455, Loss  0.770859, Average Loss  0.769745, Time  0.252098
2021-09-23 01:35:52.172210 : Epoch  9, Batch    456, Loss  0.770762, Average Loss  0.769747, Time  0.251847
2021-09-23 01:35:52.428790 : Epoch  4, Batch    914, Loss  0.864467, Average Loss  0.870046, Time  0.413682
2021-09-23 01:35:54.102346 : Epoch  9, Batch    457, Loss  0.770047, Average Loss  0.769787, Time  0.262862
2021-09-23 01:35:56.095698 : Epoch  9, Batch    458, Loss  0.790699, Average Loss  0.769882, Time  0.328218
2021-09-23 01:35:57.436016 : Epoch  4, Batch    915, Loss  0.873670, Average Loss  0.870088, Time  0.414024
2021-09-23 01:35:57.994031 : Epoch  9, Batch    459, Loss  0.766738, Average Loss  0.769868, Time  0.253342
2021-09-23 01:35:59.900287 : Epoch  9, Batch    460, Loss  0.776852, Average Loss  0.769981, Time  0.261368
2021-09-23 01:36:01.798438 : Epoch  9, Batch    461, Loss  0.773861, Average Loss  0.770005, Time  0.250723
2021-09-23 01:36:02.546713 : Epoch  4, Batch    916, Loss  0.874726, Average Loss  0.870153, Time  0.461714
2021-09-23 01:36:03.696439 : Epoch  9, Batch    462, Loss  0.763446, Average Loss  0.769954, Time  0.255701
2021-09-23 01:36:04.716328 : CheckPoint: Validation Loss  0.00032203, Best Loss  0.00030606
2021-09-23 01:36:05.617351 : Epoch  9, Batch    463, Loss  0.766842, Average Loss  0.769917, Time  0.253731
2021-09-23 01:36:06.598928 : Epoch  9, Batch    605, Loss  0.772592, Average Loss  0.769418, Time  0.253899
2021-09-23 01:36:07.541419 : Epoch  9, Batch    464, Loss  0.763835, Average Loss  0.769891, Time  0.255612
2021-09-23 01:36:08.467905 : Epoch  9, Batch    606, Loss  0.768246, Average Loss  0.769392, Time  0.253359
2021-09-23 01:36:09.497149 : Epoch  9, Batch    465, Loss  0.774886, Average Loss  0.769937, Time  0.269449
2021-09-23 01:36:10.342920 : Epoch  9, Batch    607, Loss  0.773759, Average Loss  0.769435, Time  0.249173
2021-09-23 01:36:11.395317 : Epoch  9, Batch    466, Loss  0.764792, Average Loss  0.769915, Time  0.253638
2021-09-23 01:36:12.255610 : Epoch  9, Batch    608, Loss  0.768922, Average Loss  0.769454, Time  0.262118
2021-09-23 01:36:13.300105 : Epoch  9, Batch    467, Loss  0.775288, Average Loss  0.769959, Time  0.255836
2021-09-23 01:36:14.148954 : Epoch  9, Batch    609, Loss  0.771172, Average Loss  0.769487, Time  0.248643
2021-09-23 01:36:15.188757 : Epoch  9, Batch    468, Loss  0.771718, Average Loss  0.769948, Time  0.253064
2021-09-23 01:36:16.017378 : Epoch  9, Batch    610, Loss  0.771762, Average Loss  0.769523, Time  0.248667
2021-09-23 01:36:17.090155 : Epoch  9, Batch    469, Loss  0.762751, Average Loss  0.769917, Time  0.266341
2021-09-23 01:36:17.900230 : Epoch  9, Batch    611, Loss  0.773978, Average Loss  0.769573, Time  0.250935
2021-09-23 01:36:19.022828 : Epoch  9, Batch    470, Loss  0.768655, Average Loss  0.769891, Time  0.253411
2021-09-23 01:36:19.792667 : Epoch  9, Batch    612, Loss  0.763322, Average Loss  0.769581, Time  0.253782
2021-09-23 01:36:20.958612 : Epoch  9, Batch    471, Loss  0.772638, Average Loss  0.769933, Time  0.257705
2021-09-23 01:36:21.702870 : Epoch  9, Batch    613, Loss  0.769338, Average Loss  0.769630, Time  0.273139
2021-09-23 01:36:22.876403 : Epoch  9, Batch    472, Loss  0.761346, Average Loss  0.769903, Time  0.259249
2021-09-23 01:36:23.584977 : Epoch  9, Batch    614, Loss  0.778069, Average Loss  0.769670, Time  0.248754
2021-09-23 01:36:24.813321 : Epoch  9, Batch    473, Loss  0.766631, Average Loss  0.769944, Time  0.254068
2021-09-23 01:36:25.481917 : Epoch  9, Batch    615, Loss  0.765318, Average Loss  0.769620, Time  0.255015
2021-09-23 01:36:26.727166 : Epoch  9, Batch    474, Loss  0.768172, Average Loss  0.769984, Time  0.253333
2021-09-23 01:36:27.367560 : Epoch  9, Batch    616, Loss  0.769030, Average Loss  0.769641, Time  0.252063
2021-09-23 01:36:29.252899 : Epoch  9, Batch    617, Loss  0.770194, Average Loss  0.769672, Time  0.260871
2021-09-23 01:36:30.392994 : Epoch  9, Batch    475, Loss  0.779190, Average Loss  0.770031, Time  0.251296
2021-09-23 01:36:31.126824 : Epoch  9, Batch    618, Loss  0.764920, Average Loss  0.769680, Time  0.251171
2021-09-23 01:36:32.297459 : Epoch  9, Batch    476, Loss  0.767625, Average Loss  0.769964, Time  0.259970
2021-09-23 01:36:32.997410 : Epoch  9, Batch    619, Loss  0.763977, Average Loss  0.769692, Time  0.263884
2021-09-23 01:36:34.223697 : Epoch  9, Batch    477, Loss  0.764449, Average Loss  0.769939, Time  0.258760
2021-09-23 01:36:34.861320 : Epoch  9, Batch    620, Loss  0.773708, Average Loss  0.769667, Time  0.249082
2021-09-23 01:36:36.123619 : Epoch  9, Batch    478, Loss  0.776397, Average Loss  0.769959, Time  0.251118
2021-09-23 01:36:36.752985 : Epoch  9, Batch    621, Loss  0.763564, Average Loss  0.769594, Time  0.255846
2021-09-23 01:36:38.018018 : Epoch  9, Batch    479, Loss  0.761900, Average Loss  0.769922, Time  0.253554
2021-09-23 01:36:38.649062 : Epoch  9, Batch    622, Loss  0.769617, Average Loss  0.769592, Time  0.252555
2021-09-23 01:36:39.926263 : Epoch  9, Batch    480, Loss  0.765135, Average Loss  0.769873, Time  0.253305
2021-09-23 01:36:40.521811 : Epoch  9, Batch    623, Loss  0.778585, Average Loss  0.769587, Time  0.248340
2021-09-23 01:36:41.849487 : Epoch  9, Batch    481, Loss  0.771949, Average Loss  0.769868, Time  0.254169
2021-09-23 01:36:42.420490 : Epoch  9, Batch    624, Loss  0.761588, Average Loss  0.769511, Time  0.259237
2021-09-23 01:36:43.761227 : Epoch  9, Batch    482, Loss  0.763404, Average Loss  0.769803, Time  0.251185
2021-09-23 01:36:44.318622 : Epoch  9, Batch    625, Loss  0.768589, Average Loss  0.769554, Time  0.248650
2021-09-23 01:36:45.669317 : Epoch  9, Batch    483, Loss  0.762032, Average Loss  0.769758, Time  0.251714
2021-09-23 01:36:46.212411 : Epoch  9, Batch    626, Loss  0.769720, Average Loss  0.769555, Time  0.249005
2021-09-23 01:36:47.578259 : Epoch  9, Batch    484, Loss  0.773676, Average Loss  0.769823, Time  0.257499
2021-09-23 01:36:48.087056 : Epoch  9, Batch    627, Loss  0.760862, Average Loss  0.769536, Time  0.248652
2021-09-23 01:36:49.482059 : Epoch  9, Batch    485, Loss  0.776898, Average Loss  0.769879, Time  0.255190
2021-09-23 01:36:49.948775 : Epoch  9, Batch    628, Loss  0.776996, Average Loss  0.769522, Time  0.249457
2021-09-23 01:36:51.401193 : Epoch  9, Batch    486, Loss  0.761196, Average Loss  0.769811, Time  0.251094
2021-09-23 01:36:51.842884 : Epoch  9, Batch    629, Loss  0.771866, Average Loss  0.769505, Time  0.252539
2021-09-23 01:36:53.325298 : Epoch  9, Batch    487, Loss  0.764670, Average Loss  0.769784, Time  0.252049
2021-09-23 01:36:53.726406 : Epoch  9, Batch    630, Loss  0.774419, Average Loss  0.769534, Time  0.251099
2021-09-23 01:36:55.216314 : Epoch  9, Batch    488, Loss  0.771528, Average Loss  0.769829, Time  0.251887
2021-09-23 01:36:55.600034 : Epoch  9, Batch    631, Loss  0.772611, Average Loss  0.769524, Time  0.248253
2021-09-23 01:36:57.110875 : Epoch  9, Batch    489, Loss  0.764872, Average Loss  0.769846, Time  0.252684
2021-09-23 01:36:57.495523 : Epoch  9, Batch    632, Loss  0.753934, Average Loss  0.769399, Time  0.253879
2021-09-23 01:36:59.015930 : Epoch  9, Batch    490, Loss  0.771748, Average Loss  0.769839, Time  0.253453
2021-09-23 01:36:59.377404 : Epoch  9, Batch    633, Loss  0.754455, Average Loss  0.769322, Time  0.252030
2021-09-23 01:37:00.932992 : Epoch  9, Batch    491, Loss  0.778446, Average Loss  0.769884, Time  0.253753
2021-09-23 01:37:01.259278 : Epoch  9, Batch    634, Loss  0.765655, Average Loss  0.769304, Time  0.252310
2021-09-23 01:37:02.860954 : Epoch  9, Batch    492, Loss  0.764545, Average Loss  0.769906, Time  0.267547
2021-09-23 01:37:03.132850 : Epoch  9, Batch    635, Loss  0.758013, Average Loss  0.769206, Time  0.248578
2021-09-23 01:37:04.792039 : Epoch  9, Batch    493, Loss  0.775131, Average Loss  0.769910, Time  0.251713
2021-09-23 01:37:05.014580 : Epoch  9, Batch    636, Loss  0.775540, Average Loss  0.769267, Time  0.260344
2021-09-23 01:37:06.777181 : Epoch  9, Batch    494, Loss  0.766332, Average Loss  0.769949, Time  0.338100
2021-09-23 01:37:06.936897 : Epoch  9, Batch    637, Loss  0.766327, Average Loss  0.769252, Time  0.302648
2021-09-23 01:37:08.875297 : Epoch  9, Batch    495, Loss  0.770100, Average Loss  0.769947, Time  0.425900
2021-09-23 01:37:08.966124 : Epoch  9, Batch    638, Loss  0.776036, Average Loss  0.769327, Time  0.392569
2021-09-23 01:37:11.026402 : Epoch  9, Batch    496, Loss  0.764245, Average Loss  0.769887, Time  0.489792
2021-09-23 01:37:11.058712 : Epoch  9, Batch    639, Loss  0.773235, Average Loss  0.769392, Time  0.456261
2021-09-23 01:37:13.190447 : Epoch  9, Batch    497, Loss  0.772156, Average Loss  0.769902, Time  0.517669
2021-09-23 01:37:13.229723 : Epoch  9, Batch    640, Loss  0.765899, Average Loss  0.769350, Time  0.498804
2021-09-23 01:37:15.374118 : Epoch  9, Batch    641, Loss  0.782229, Average Loss  0.769381, Time  0.506911
2021-09-23 01:37:15.407247 : Epoch  9, Batch    498, Loss  0.777084, Average Loss  0.769943, Time  0.490223
2021-09-23 01:37:17.481147 : Epoch  9, Batch    642, Loss  0.793913, Average Loss  0.769484, Time  0.475300
2021-09-23 01:37:17.531828 : Epoch  9, Batch    499, Loss  0.773160, Average Loss  0.769944, Time  0.451026
2021-09-23 01:37:19.568754 : Epoch  9, Batch    643, Loss  0.767763, Average Loss  0.769442, Time  0.460672
2021-09-23 01:37:19.628376 : Epoch  9, Batch    500, Loss  0.753579, Average Loss  0.769897, Time  0.428496
2021-09-23 01:37:21.637922 : Epoch  9, Batch    644, Loss  0.759395, Average Loss  0.769431, Time  0.445587
2021-09-23 01:37:21.697062 : Epoch  9, Batch    501, Loss  0.773672, Average Loss  0.769929, Time  0.413834
2021-09-23 01:37:23.732308 : Epoch  9, Batch    645, Loss  0.768831, Average Loss  0.769410, Time  0.456793
2021-09-23 01:37:23.801352 : Epoch  9, Batch    502, Loss  0.761876, Average Loss  0.769899, Time  0.429455
2021-09-23 01:37:25.775587 : Epoch  9, Batch    646, Loss  0.760588, Average Loss  0.769392, Time  0.413844
2021-09-23 01:37:25.873992 : Epoch  9, Batch    503, Loss  0.773941, Average Loss  0.769977, Time  0.387304
2021-09-23 01:37:27.774468 : Epoch  9, Batch    647, Loss  0.771306, Average Loss  0.769381, Time  0.389315
2021-09-23 01:37:27.887969 : Epoch  9, Batch    504, Loss  0.762931, Average Loss  0.769995, Time  0.363900
2021-09-23 01:37:29.655943 : Epoch  9, Batch    648, Loss  0.779189, Average Loss  0.769449, Time  0.254745
2021-09-23 01:37:31.623038 : Epoch  9, Batch    649, Loss  0.769158, Average Loss  0.769534, Time  0.336511
2021-09-23 01:37:33.502887 : Epoch  9, Batch    650, Loss  0.774036, Average Loss  0.769573, Time  0.248346
2021-09-23 01:37:35.381790 : Epoch  9, Batch    651, Loss  0.770363, Average Loss  0.769564, Time  0.248462
2021-09-23 01:37:37.277905 : Epoch  9, Batch    652, Loss  0.764195, Average Loss  0.769580, Time  0.257033
2021-09-23 01:37:39.169937 : Epoch  9, Batch    653, Loss  0.780853, Average Loss  0.769674, Time  0.253881
2021-09-23 01:37:41.034665 : Epoch  9, Batch    654, Loss  0.761152, Average Loss  0.769656, Time  0.250092
2021-09-23 01:37:42.934812 : Epoch  9, Batch    655, Loss  0.777438, Average Loss  0.769717, Time  0.248282
2021-09-23 01:37:44.878793 : Epoch  9, Batch    656, Loss  0.782893, Average Loss  0.769820, Time  0.308572
2021-09-23 01:37:46.763905 : Epoch  9, Batch    657, Loss  0.777892, Average Loss  0.769853, Time  0.262094
2021-09-23 01:37:48.648289 : Epoch  9, Batch    658, Loss  0.780724, Average Loss  0.769933, Time  0.252721
2021-09-23 01:37:50.521034 : Epoch  9, Batch    659, Loss  0.767157, Average Loss  0.769908, Time  0.249778
2021-09-23 01:37:52.409770 : Epoch  9, Batch    660, Loss  0.759434, Average Loss  0.769854, Time  0.248518
2021-09-23 01:37:54.276659 : Epoch  9, Batch    661, Loss  0.771065, Average Loss  0.769853, Time  0.248972
2021-09-23 01:37:56.157929 : Epoch  9, Batch    662, Loss  0.768397, Average Loss  0.769915, Time  0.250048
2021-09-23 01:37:58.080729 : Epoch  9, Batch    663, Loss  0.762523, Average Loss  0.769870, Time  0.261441
2021-09-23 01:38:00.063111 : Epoch  9, Batch    664, Loss  0.771105, Average Loss  0.769851, Time  0.322790
2021-09-23 01:38:01.948194 : Epoch  9, Batch    665, Loss  0.783992, Average Loss  0.769923, Time  0.251480
2021-09-23 01:38:03.840678 : Epoch  9, Batch    666, Loss  0.769509, Average Loss  0.769970, Time  0.251069
2021-09-23 01:38:05.713316 : Epoch  9, Batch    667, Loss  0.777991, Average Loss  0.769989, Time  0.248656
2021-09-23 01:38:07.590424 : Epoch  9, Batch    668, Loss  0.766712, Average Loss  0.770003, Time  0.249597
2021-09-23 01:38:09.471932 : Epoch  9, Batch    669, Loss  0.764848, Average Loss  0.769914, Time  0.249002
2021-09-23 01:38:11.354738 : Epoch  9, Batch    670, Loss  0.774170, Average Loss  0.769907, Time  0.254139
2021-09-23 01:38:13.323401 : Epoch  9, Batch    671, Loss  0.771493, Average Loss  0.769860, Time  0.323896
2021-09-23 01:38:15.198899 : Epoch  9, Batch    672, Loss  0.767059, Average Loss  0.769863, Time  0.251306
2021-09-23 01:38:17.078773 : Epoch  9, Batch    673, Loss  0.788292, Average Loss  0.770016, Time  0.248986
2021-09-23 01:38:18.944085 : Epoch  9, Batch    674, Loss  0.774086, Average Loss  0.770006, Time  0.248886
2021-09-23 01:38:22.635641 : Epoch  9, Batch    675, Loss  0.775671, Average Loss  0.770084, Time  0.263523
2021-09-23 01:38:24.535284 : Epoch  9, Batch    676, Loss  0.764503, Average Loss  0.770073, Time  0.250378
2021-09-23 01:38:26.425602 : Epoch  9, Batch    677, Loss  0.772925, Average Loss  0.770088, Time  0.250440
2021-09-23 01:38:28.401084 : Epoch  9, Batch    678, Loss  0.759723, Average Loss  0.770066, Time  0.324824
2021-09-23 01:38:30.302014 : Epoch  9, Batch    679, Loss  0.780728, Average Loss  0.770107, Time  0.248487
2021-09-23 01:38:32.193103 : Epoch  9, Batch    680, Loss  0.763341, Average Loss  0.770040, Time  0.255973
2021-09-23 01:38:34.050408 : Epoch  9, Batch    681, Loss  0.773498, Average Loss  0.770075, Time  0.249344
2021-09-23 01:38:35.931372 : Epoch  9, Batch    682, Loss  0.764687, Average Loss  0.770023, Time  0.248835
2021-09-23 01:38:37.810184 : Epoch  9, Batch    683, Loss  0.782816, Average Loss  0.770147, Time  0.248637
2021-09-23 01:38:38.907031 : CheckPoint: Validation Loss  0.00032678, Best Loss  0.00030514
2021-09-23 01:38:39.690910 : Epoch  9, Batch    684, Loss  0.773628, Average Loss  0.770225, Time  0.250458
2021-09-23 01:38:40.834110 : Epoch  9, Batch    505, Loss  0.770054, Average Loss  0.769958, Time  0.256236
2021-09-23 01:38:41.568728 : Epoch  9, Batch    685, Loss  0.779136, Average Loss  0.770333, Time  0.249710
2021-09-23 01:38:42.753231 : Epoch  9, Batch    506, Loss  0.777715, Average Loss  0.770000, Time  0.252145
2021-09-23 01:38:43.461544 : Epoch  9, Batch    686, Loss  0.772831, Average Loss  0.770365, Time  0.249973
2021-09-23 01:38:44.644464 : Epoch  9, Batch    507, Loss  0.767623, Average Loss  0.769986, Time  0.255711
2021-09-23 01:38:45.356076 : Epoch  9, Batch    687, Loss  0.771848, Average Loss  0.770402, Time  0.260160
2021-09-23 01:38:46.551378 : Epoch  9, Batch    508, Loss  0.766260, Average Loss  0.769941, Time  0.260109
2021-09-23 01:38:47.236533 : Epoch  9, Batch    688, Loss  0.773344, Average Loss  0.770512, Time  0.248482
2021-09-23 01:38:48.454058 : Epoch  9, Batch    509, Loss  0.765526, Average Loss  0.769928, Time  0.254523
2021-09-23 01:38:49.149368 : Epoch  9, Batch    689, Loss  0.768966, Average Loss  0.770472, Time  0.248892
2021-09-23 01:38:50.358511 : Epoch  9, Batch    510, Loss  0.778527, Average Loss  0.769914, Time  0.251723
2021-09-23 01:38:51.020850 : Epoch  9, Batch    690, Loss  0.769172, Average Loss  0.770446, Time  0.251154
2021-09-23 01:38:52.274795 : Epoch  9, Batch    511, Loss  0.769115, Average Loss  0.769883, Time  0.251347
2021-09-23 01:38:52.887721 : Epoch  9, Batch    691, Loss  0.775948, Average Loss  0.770492, Time  0.248475
2021-09-23 01:38:54.157476 : Epoch  9, Batch    512, Loss  0.769147, Average Loss  0.769887, Time  0.255497
2021-09-23 01:38:54.764278 : Epoch  9, Batch    692, Loss  0.770381, Average Loss  0.770525, Time  0.250018
2021-09-23 01:38:56.062426 : Epoch  9, Batch    513, Loss  0.776056, Average Loss  0.769847, Time  0.256605
2021-09-23 01:38:56.649424 : Epoch  9, Batch    693, Loss  0.764619, Average Loss  0.770497, Time  0.254242
2021-09-23 01:38:57.964146 : Epoch  9, Batch    514, Loss  0.772498, Average Loss  0.769820, Time  0.251819
2021-09-23 01:38:58.537922 : Epoch  9, Batch    694, Loss  0.763237, Average Loss  0.770412, Time  0.254099
2021-09-23 01:38:59.880448 : Epoch  9, Batch    515, Loss  0.775150, Average Loss  0.769821, Time  0.260381
2021-09-23 01:39:00.416588 : Epoch  9, Batch    695, Loss  0.774392, Average Loss  0.770396, Time  0.248575
2021-09-23 01:39:01.798189 : Epoch  9, Batch    516, Loss  0.777260, Average Loss  0.769876, Time  0.263934
2021-09-23 01:39:02.295938 : Epoch  9, Batch    696, Loss  0.767063, Average Loss  0.770406, Time  0.256220
2021-09-23 01:39:03.716039 : Epoch  9, Batch    517, Loss  0.759078, Average Loss  0.769810, Time  0.253621
2021-09-23 01:39:04.155095 : Epoch  9, Batch    697, Loss  0.766786, Average Loss  0.770455, Time  0.249195
2021-09-23 01:39:05.648396 : Epoch  9, Batch    518, Loss  0.781016, Average Loss  0.769862, Time  0.255693
2021-09-23 01:39:06.018948 : Epoch  9, Batch    698, Loss  0.768096, Average Loss  0.770480, Time  0.250733
2021-09-23 01:39:07.549788 : Epoch  9, Batch    519, Loss  0.766856, Average Loss  0.769781, Time  0.255145
2021-09-23 01:39:07.886216 : Epoch  9, Batch    699, Loss  0.782492, Average Loss  0.770484, Time  0.250065
2021-09-23 01:39:09.457633 : Epoch  9, Batch    520, Loss  0.766924, Average Loss  0.769785, Time  0.258011
2021-09-23 01:39:09.766687 : Epoch  9, Batch    700, Loss  0.761906, Average Loss  0.770449, Time  0.250403
2021-09-23 01:39:11.356863 : Epoch  9, Batch    521, Loss  0.763552, Average Loss  0.769750, Time  0.251281
2021-09-23 01:39:11.633392 : Epoch  9, Batch    701, Loss  0.769685, Average Loss  0.770476, Time  0.250179
2021-09-23 01:39:13.253922 : Epoch  9, Batch    522, Loss  0.776876, Average Loss  0.769789, Time  0.252083
2021-09-23 01:39:13.503646 : Epoch  9, Batch    702, Loss  0.772956, Average Loss  0.770529, Time  0.250864
2021-09-23 01:39:15.182019 : Epoch  9, Batch    523, Loss  0.771194, Average Loss  0.769803, Time  0.256134
2021-09-23 01:39:15.404162 : Epoch  9, Batch    703, Loss  0.767436, Average Loss  0.770584, Time  0.261321
2021-09-23 01:39:17.105278 : Epoch  9, Batch    524, Loss  0.771343, Average Loss  0.769826, Time  0.259012
2021-09-23 01:39:19.223949 : Epoch  9, Batch    525, Loss  0.779000, Average Loss  0.769888, Time  0.467741
2021-09-23 01:39:19.274051 : Epoch  9, Batch    704, Loss  0.776047, Average Loss  0.770629, Time  0.430693
2021-09-23 01:39:21.130986 : Epoch  9, Batch    526, Loss  0.766555, Average Loss  0.769893, Time  0.252780
2021-09-23 01:39:23.059164 : Epoch  9, Batch    527, Loss  0.771683, Average Loss  0.769906, Time  0.255487
2021-09-23 01:39:24.962353 : Epoch  9, Batch    528, Loss  0.775190, Average Loss  0.769935, Time  0.251200
2021-09-23 01:39:26.876604 : Epoch  9, Batch    529, Loss  0.775722, Average Loss  0.769959, Time  0.254252
2021-09-23 01:39:28.798310 : Epoch  9, Batch    530, Loss  0.768457, Average Loss  0.769971, Time  0.255544
2021-09-23 01:39:30.697485 : Epoch  9, Batch    531, Loss  0.775061, Average Loss  0.770062, Time  0.254936
2021-09-23 01:39:32.597560 : Epoch  9, Batch    532, Loss  0.770914, Average Loss  0.770134, Time  0.253515
2021-09-23 01:39:34.592990 : Epoch  9, Batch    533, Loss  0.774949, Average Loss  0.770134, Time  0.330557
2021-09-23 01:39:36.530143 : Epoch  9, Batch    534, Loss  0.767520, Average Loss  0.770148, Time  0.258861
2021-09-23 01:39:38.448733 : Epoch  9, Batch    535, Loss  0.763891, Average Loss  0.770062, Time  0.256773
2021-09-23 01:39:40.360800 : Epoch  9, Batch    536, Loss  0.766034, Average Loss  0.769977, Time  0.258683
2021-09-23 01:39:42.275331 : Epoch  9, Batch    537, Loss  0.767063, Average Loss  0.769981, Time  0.251591
2021-09-23 01:39:44.195358 : Epoch  9, Batch    538, Loss  0.771048, Average Loss  0.769996, Time  0.260700
2021-09-23 01:39:46.175247 : Epoch  9, Batch    539, Loss  0.774106, Average Loss  0.770014, Time  0.325120
2021-09-23 01:39:48.064347 : Epoch  9, Batch    540, Loss  0.764939, Average Loss  0.769973, Time  0.251804
2021-09-23 01:39:49.973277 : Epoch  9, Batch    541, Loss  0.771294, Average Loss  0.769972, Time  0.254187
2021-09-23 01:39:51.879263 : Epoch  9, Batch    542, Loss  0.766900, Average Loss  0.769995, Time  0.252351
2021-09-23 01:39:53.808604 : Epoch  9, Batch    543, Loss  0.772686, Average Loss  0.770067, Time  0.258197
2021-09-23 01:39:55.731230 : Epoch  9, Batch    544, Loss  0.773615, Average Loss  0.770067, Time  0.258299
2021-09-23 01:39:57.698266 : Epoch  9, Batch    545, Loss  0.762969, Average Loss  0.770009, Time  0.324273
2021-09-23 01:39:59.619053 : Epoch  9, Batch    546, Loss  0.772036, Average Loss  0.770035, Time  0.254760
2021-09-23 01:40:00.166855 : CheckPoint: Validation Loss  0.00014892, Best Loss  0.00014643
2021-09-23 01:40:01.531153 : Epoch  9, Batch    547, Loss  0.771005, Average Loss  0.770054, Time  0.251187
2021-09-23 01:40:03.431291 : Epoch  9, Batch    548, Loss  0.760372, Average Loss  0.770032, Time  0.253079
2021-09-23 01:40:05.173775 : Epoch  4, Batch    917, Loss  0.882222, Average Loss  0.870124, Time  0.417085
2021-09-23 01:40:05.338264 : Epoch  9, Batch    549, Loss  0.767356, Average Loss  0.770030, Time  0.252949
2021-09-23 01:40:07.244384 : Epoch  9, Batch    550, Loss  0.778524, Average Loss  0.770026, Time  0.251287
2021-09-23 01:40:09.222136 : Epoch  9, Batch    551, Loss  0.769638, Average Loss  0.770010, Time  0.327202
2021-09-23 01:40:10.181895 : Epoch  4, Batch    918, Loss  0.868541, Average Loss  0.870179, Time  0.412964
2021-09-23 01:40:11.149468 : Epoch  9, Batch    552, Loss  0.768933, Average Loss  0.770005, Time  0.276919
2021-09-23 01:40:13.071202 : Epoch  9, Batch    553, Loss  0.770176, Average Loss  0.770031, Time  0.257474
2021-09-23 01:40:14.972662 : Epoch  9, Batch    554, Loss  0.762143, Average Loss  0.770003, Time  0.260509
2021-09-23 01:40:15.243257 : Epoch  4, Batch    919, Loss  0.853557, Average Loss  0.870107, Time  0.413395
2021-09-23 01:40:16.882476 : Epoch  9, Batch    555, Loss  0.773964, Average Loss  0.769985, Time  0.256793
2021-09-23 01:40:18.775311 : Epoch  9, Batch    556, Loss  0.776422, Average Loss  0.769951, Time  0.253153
2021-09-23 01:40:20.253992 : Epoch  4, Batch    920, Loss  0.862891, Average Loss  0.870072, Time  0.413100
2021-09-23 01:40:20.758081 : Epoch  9, Batch    557, Loss  0.759566, Average Loss  0.769847, Time  0.329543
2021-09-23 01:40:22.686165 : Epoch  9, Batch    558, Loss  0.772711, Average Loss  0.769888, Time  0.263817
2021-09-23 01:40:24.585306 : Epoch  9, Batch    559, Loss  0.775505, Average Loss  0.769946, Time  0.251596
2021-09-23 01:40:25.278780 : Epoch  4, Batch    921, Loss  0.877503, Average Loss  0.870060, Time  0.413218
2021-09-23 01:40:26.478886 : Epoch  9, Batch    560, Loss  0.765055, Average Loss  0.769912, Time  0.252159
2021-09-23 01:40:28.393913 : Epoch  9, Batch    561, Loss  0.762349, Average Loss  0.769862, Time  0.253877
2021-09-23 01:40:29.517504 : CheckPoint: Validation Loss  0.00031553, Best Loss  0.00030606
2021-09-23 01:40:30.314809 : Epoch  9, Batch    562, Loss  0.775931, Average Loss  0.769891, Time  0.264259
2021-09-23 01:40:30.446789 : Epoch  4, Batch    922, Loss  0.868339, Average Loss  0.870063, Time  0.418206
2021-09-23 01:40:31.394957 : Epoch  9, Batch    705, Loss  0.778516, Average Loss  0.770708, Time  0.248269
2021-09-23 01:40:32.269857 : Epoch  9, Batch    563, Loss  0.777372, Average Loss  0.769986, Time  0.269815
2021-09-23 01:40:33.251827 : Epoch  9, Batch    706, Loss  0.767945, Average Loss  0.770672, Time  0.250845
2021-09-23 01:40:34.158794 : Epoch  9, Batch    564, Loss  0.779310, Average Loss  0.770030, Time  0.252595
2021-09-23 01:40:35.121142 : Epoch  9, Batch    707, Loss  0.776257, Average Loss  0.770673, Time  0.251918
2021-09-23 01:40:35.447967 : Epoch  4, Batch    923, Loss  0.867752, Average Loss  0.870072, Time  0.413183
2021-09-23 01:40:36.091441 : Epoch  9, Batch    565, Loss  0.772999, Average Loss  0.770010, Time  0.260455
2021-09-23 01:40:37.005196 : Epoch  9, Batch    708, Loss  0.763265, Average Loss  0.770636, Time  0.250679
2021-09-23 01:40:37.987811 : Epoch  9, Batch    566, Loss  0.766303, Average Loss  0.769944, Time  0.252857
2021-09-23 01:40:38.869906 : Epoch  9, Batch    709, Loss  0.776067, Average Loss  0.770648, Time  0.254029
2021-09-23 01:40:39.881093 : Epoch  9, Batch    567, Loss  0.769951, Average Loss  0.769960, Time  0.254404
2021-09-23 01:40:40.449471 : Epoch  4, Batch    924, Loss  0.869869, Average Loss  0.870062, Time  0.414026
2021-09-23 01:40:40.742335 : Epoch  9, Batch    710, Loss  0.785635, Average Loss  0.770710, Time  0.255742
2021-09-23 01:40:41.786448 : Epoch  9, Batch    568, Loss  0.767337, Average Loss  0.769965, Time  0.255434
2021-09-23 01:40:42.623083 : Epoch  9, Batch    711, Loss  0.785762, Average Loss  0.770827, Time  0.248957
2021-09-23 01:40:43.696326 : Epoch  9, Batch    569, Loss  0.773090, Average Loss  0.769922, Time  0.254457
2021-09-23 01:40:44.508840 : Epoch  9, Batch    712, Loss  0.777758, Average Loss  0.770839, Time  0.250886
2021-09-23 01:40:45.505003 : Epoch  4, Batch    925, Loss  0.867255, Average Loss  0.870097, Time  0.456112
2021-09-23 01:40:45.618752 : Epoch  9, Batch    570, Loss  0.765525, Average Loss  0.769907, Time  0.253792
2021-09-23 01:40:46.385285 : Epoch  9, Batch    713, Loss  0.777506, Average Loss  0.770885, Time  0.250723
2021-09-23 01:40:47.530944 : Epoch  9, Batch    571, Loss  0.767819, Average Loss  0.769918, Time  0.256169
2021-09-23 01:40:48.302554 : Epoch  9, Batch    714, Loss  0.778450, Average Loss  0.770932, Time  0.248459
2021-09-23 01:40:49.425001 : Epoch  9, Batch    572, Loss  0.771903, Average Loss  0.769884, Time  0.251741
2021-09-23 01:40:50.177843 : Epoch  9, Batch    715, Loss  0.767612, Average Loss  0.770918, Time  0.255570
2021-09-23 01:40:50.520011 : Epoch  4, Batch    926, Loss  0.876686, Average Loss  0.870139, Time  0.413759
2021-09-23 01:40:51.347347 : Epoch  9, Batch    573, Loss  0.755839, Average Loss  0.769787, Time  0.251868
2021-09-23 01:40:52.045980 : Epoch  9, Batch    716, Loss  0.783165, Average Loss  0.770967, Time  0.250385
2021-09-23 01:40:53.254324 : Epoch  9, Batch    574, Loss  0.769378, Average Loss  0.769807, Time  0.255376
2021-09-23 01:40:53.929620 : Epoch  9, Batch    717, Loss  0.761627, Average Loss  0.770941, Time  0.251555
2021-09-23 01:40:55.535992 : Epoch  4, Batch    927, Loss  0.854197, Average Loss  0.870073, Time  0.413760
2021-09-23 01:40:55.808177 : Epoch  9, Batch    718, Loss  0.763468, Average Loss  0.770938, Time  0.251524
2021-09-23 01:40:56.947095 : Epoch  9, Batch    575, Loss  0.774353, Average Loss  0.769882, Time  0.258904
2021-09-23 01:40:57.702705 : Epoch  9, Batch    719, Loss  0.771943, Average Loss  0.770949, Time  0.248984
2021-09-23 01:40:58.874240 : Epoch  9, Batch    576, Loss  0.772998, Average Loss  0.769906, Time  0.261587
2021-09-23 01:40:59.580821 : Epoch  9, Batch    720, Loss  0.771932, Average Loss  0.770885, Time  0.258131
2021-09-23 01:41:00.556230 : Epoch  4, Batch    928, Loss  0.857775, Average Loss  0.870000, Time  0.413507
2021-09-23 01:41:00.591563 : Saving Model after 4-th Epoch.
2021-09-23 01:41:00.806521 : Epoch  9, Batch    577, Loss  0.779758, Average Loss  0.769914, Time  0.254800
2021-09-23 01:41:01.087601 : Epoch Finished.
2021-09-23 01:41:01.449357 : Epoch  9, Batch    721, Loss  0.771136, Average Loss  0.770877, Time  0.250003
2021-09-23 01:41:02.929186 : Epoch  9, Batch    578, Loss  0.776101, Average Loss  0.769966, Time  0.254570
2021-09-23 01:41:03.328988 : Epoch  9, Batch    722, Loss  0.774008, Average Loss  0.770837, Time  0.249738
2021-09-23 01:41:04.852882 : Epoch  9, Batch    579, Loss  0.761108, Average Loss  0.769911, Time  0.253708
2021-09-23 01:41:05.213109 : Epoch  9, Batch    723, Loss  0.764084, Average Loss  0.770862, Time  0.250030
2021-09-23 01:41:06.742955 : Epoch  9, Batch    580, Loss  0.778314, Average Loss  0.769939, Time  0.251977
2021-09-23 01:41:07.097325 : Epoch  9, Batch    724, Loss  0.771397, Average Loss  0.770813, Time  0.249565
2021-09-23 01:41:08.644574 : Epoch  9, Batch    581, Loss  0.763623, Average Loss  0.769879, Time  0.251248
2021-09-23 01:41:08.976296 : Epoch  9, Batch    725, Loss  0.768080, Average Loss  0.770781, Time  0.250855
2021-09-23 01:41:09.777597 : Batch Shuffled
2021-09-23 01:41:10.547280 : Epoch  9, Batch    582, Loss  0.764678, Average Loss  0.769829, Time  0.258746
2021-09-23 01:41:10.882996 : Epoch  9, Batch    726, Loss  0.771520, Average Loss  0.770776, Time  0.267981
2021-09-23 01:41:12.468231 : Epoch  9, Batch    583, Loss  0.777343, Average Loss  0.769870, Time  0.253041
2021-09-23 01:41:12.777742 : Epoch  9, Batch    727, Loss  0.758840, Average Loss  0.770716, Time  0.248939
2021-09-23 01:41:14.366448 : Epoch  9, Batch    584, Loss  0.773976, Average Loss  0.769963, Time  0.251709
2021-09-23 01:41:14.640876 : Epoch  9, Batch    728, Loss  0.775564, Average Loss  0.770718, Time  0.250819
2021-09-23 01:41:14.759904 : Epoch  5, Batch      1, Loss  0.875099, Average Loss  0.869970, Time  0.413448
2021-09-23 01:41:16.273555 : Epoch  9, Batch    585, Loss  0.763330, Average Loss  0.769934, Time  0.252938
2021-09-23 01:41:16.503517 : Epoch  9, Batch    729, Loss  0.767413, Average Loss  0.770699, Time  0.260875
2021-09-23 01:41:18.226176 : Epoch  9, Batch    586, Loss  0.773661, Average Loss  0.769936, Time  0.292045
2021-09-23 01:41:18.415166 : Epoch  9, Batch    730, Loss  0.761450, Average Loss  0.770736, Time  0.276371
2021-09-23 01:41:19.700826 : Epoch  5, Batch      2, Loss  0.883632, Average Loss  0.870032, Time  0.413299
2021-09-23 01:41:20.272287 : Epoch  9, Batch    587, Loss  0.779921, Average Loss  0.770018, Time  0.396812
2021-09-23 01:41:20.385828 : Epoch  9, Batch    731, Loss  0.773497, Average Loss  0.770763, Time  0.359362
2021-09-23 01:41:22.437057 : Epoch  9, Batch    588, Loss  0.765804, Average Loss  0.770008, Time  0.501125
2021-09-23 01:41:22.470831 : Epoch  9, Batch    732, Loss  0.772001, Average Loss  0.770789, Time  0.460676
2021-09-23 01:41:24.615887 : Epoch  9, Batch    589, Loss  0.773985, Average Loss  0.770044, Time  0.522100
2021-09-23 01:41:24.615951 : Epoch  9, Batch    733, Loss  0.772207, Average Loss  0.770753, Time  0.520298
2021-09-23 01:41:24.656051 : Epoch  5, Batch      3, Loss  0.875403, Average Loss  0.870028, Time  0.412894
2021-09-23 01:41:26.777265 : Epoch  9, Batch    590, Loss  0.772159, Average Loss  0.770026, Time  0.511613
2021-09-23 01:41:26.808886 : Epoch  9, Batch    734, Loss  0.777636, Average Loss  0.770731, Time  0.491928
2021-09-23 01:41:28.946446 : Epoch  9, Batch    735, Loss  0.771728, Average Loss  0.770749, Time  0.518554
2021-09-23 01:41:28.978018 : Epoch  9, Batch    591, Loss  0.772355, Average Loss  0.770031, Time  0.519005
2021-09-23 01:41:29.622849 : Epoch  5, Batch      4, Loss  0.861746, Average Loss  0.869987, Time  0.413567
2021-09-23 01:41:31.071321 : Epoch  9, Batch    736, Loss  0.779715, Average Loss  0.770812, Time  0.496186
2021-09-23 01:41:31.097021 : Epoch  9, Batch    592, Loss  0.772770, Average Loss  0.770096, Time  0.471063
2021-09-23 01:41:33.165349 : Epoch  9, Batch    737, Loss  0.775706, Average Loss  0.770865, Time  0.488801
2021-09-23 01:41:33.196242 : Epoch  9, Batch    593, Loss  0.772761, Average Loss  0.770097, Time  0.456883
2021-09-23 01:41:34.653978 : Epoch  5, Batch      5, Loss  0.870855, Average Loss  0.869996, Time  0.468057
2021-09-23 01:41:35.284401 : Epoch  9, Batch    738, Loss  0.767918, Average Loss  0.770878, Time  0.500369
2021-09-23 01:41:35.310203 : Epoch  9, Batch    594, Loss  0.763296, Average Loss  0.770055, Time  0.459607
2021-09-23 01:41:37.409072 : Epoch  9, Batch    739, Loss  0.768374, Average Loss  0.770770, Time  0.490407
2021-09-23 01:41:37.444070 : Epoch  9, Batch    595, Loss  0.776197, Average Loss  0.770076, Time  0.454378
2021-09-23 01:41:39.548825 : Epoch  9, Batch    740, Loss  0.766554, Average Loss  0.770739, Time  0.494889
2021-09-23 01:41:39.581601 : Epoch  9, Batch    596, Loss  0.773148, Average Loss  0.770056, Time  0.474056
2021-09-23 01:41:39.643770 : Epoch  5, Batch      6, Loss  0.864780, Average Loss  0.869970, Time  0.430212
2021-09-23 01:41:41.674967 : Epoch  9, Batch    741, Loss  0.761986, Average Loss  0.770673, Time  0.496174
2021-09-23 01:41:41.704299 : Epoch  9, Batch    597, Loss  0.765867, Average Loss  0.770020, Time  0.481008
2021-09-23 01:41:43.807299 : Epoch  9, Batch    742, Loss  0.764335, Average Loss  0.770686, Time  0.503889
2021-09-23 01:41:43.838416 : Epoch  9, Batch    598, Loss  0.765711, Average Loss  0.769977, Time  0.483189
2021-09-23 01:41:44.598066 : Epoch  5, Batch      7, Loss  0.864562, Average Loss  0.869963, Time  0.413961
2021-09-23 01:41:45.928481 : Epoch  9, Batch    743, Loss  0.759195, Average Loss  0.770624, Time  0.494691
2021-09-23 01:41:45.960884 : Epoch  9, Batch    599, Loss  0.776244, Average Loss  0.770019, Time  0.461676
2021-09-23 01:41:48.034604 : Epoch  9, Batch    744, Loss  0.755066, Average Loss  0.770475, Time  0.489980
2021-09-23 01:41:48.065393 : Epoch  9, Batch    600, Loss  0.775753, Average Loss  0.770064, Time  0.454227
2021-09-23 01:41:49.553984 : Epoch  5, Batch      8, Loss  0.864745, Average Loss  0.869874, Time  0.413636
2021-09-23 01:41:50.210070 : Epoch  9, Batch    745, Loss  0.759570, Average Loss  0.770445, Time  0.516100
2021-09-23 01:41:50.243395 : Epoch  9, Batch    601, Loss  0.761543, Average Loss  0.769994, Time  0.513880
2021-09-23 01:41:52.324883 : Epoch  9, Batch    746, Loss  0.764570, Average Loss  0.770408, Time  0.494430
2021-09-23 01:41:52.355056 : Epoch  9, Batch    602, Loss  0.764143, Average Loss  0.769935, Time  0.465431
2021-09-23 01:41:54.412173 : Epoch  9, Batch    747, Loss  0.767448, Average Loss  0.770437, Time  0.491051
2021-09-23 01:41:54.446720 : Epoch  9, Batch    603, Loss  0.765920, Average Loss  0.769960, Time  0.459602
2021-09-23 01:41:54.549739 : Epoch  5, Batch      9, Loss  0.872131, Average Loss  0.869921, Time  0.413796
2021-09-23 01:41:56.579485 : Epoch  9, Batch    748, Loss  0.765899, Average Loss  0.770435, Time  0.514459
2021-09-23 01:41:56.609458 : Epoch  9, Batch    604, Loss  0.760769, Average Loss  0.769888, Time  0.509196
2021-09-23 01:41:58.480935 : Epoch  9, Batch    749, Loss  0.762030, Average Loss  0.770366, Time  0.250793
2021-09-23 01:41:59.517994 : Epoch  5, Batch     10, Loss  0.877865, Average Loss  0.869901, Time  0.413363
2021-09-23 01:42:00.351157 : Epoch  9, Batch    750, Loss  0.775898, Average Loss  0.770459, Time  0.250001
2021-09-23 01:42:02.215465 : Epoch  9, Batch    751, Loss  0.769340, Average Loss  0.770445, Time  0.248006
2021-09-23 01:42:04.085977 : Epoch  9, Batch    752, Loss  0.794183, Average Loss  0.770555, Time  0.250221
2021-09-23 01:42:04.488757 : Epoch  5, Batch     11, Loss  0.864954, Average Loss  0.869890, Time  0.413456
2021-09-23 01:42:05.985046 : Epoch  9, Batch    753, Loss  0.770553, Average Loss  0.770588, Time  0.260366
2021-09-23 01:42:07.887927 : Epoch  9, Batch    754, Loss  0.771025, Average Loss  0.770563, Time  0.254730
2021-09-23 01:42:09.458093 : Epoch  5, Batch     12, Loss  0.873147, Average Loss  0.869938, Time  0.413207
2021-09-23 01:42:09.784737 : Epoch  9, Batch    755, Loss  0.765678, Average Loss  0.770555, Time  0.258390
2021-09-23 01:42:11.659988 : Epoch  9, Batch    756, Loss  0.766673, Average Loss  0.770533, Time  0.250852
2021-09-23 01:42:13.608282 : Epoch  9, Batch    757, Loss  0.751085, Average Loss  0.770447, Time  0.332329
2021-09-23 01:42:14.433747 : Epoch  5, Batch     13, Loss  0.889602, Average Loss  0.870091, Time  0.413125
2021-09-23 01:42:15.483289 : Epoch  9, Batch    758, Loss  0.780739, Average Loss  0.770531, Time  0.255514
2021-09-23 01:42:17.362844 : Epoch  9, Batch    759, Loss  0.757660, Average Loss  0.770466, Time  0.248446
2021-09-23 01:42:19.242604 : Epoch  9, Batch    760, Loss  0.759119, Average Loss  0.770437, Time  0.249115
2021-09-23 01:42:19.435988 : Epoch  5, Batch     14, Loss  0.867733, Average Loss  0.870126, Time  0.451545
2021-09-23 01:42:21.135955 : Epoch  9, Batch    761, Loss  0.771248, Average Loss  0.770429, Time  0.249359
2021-09-23 01:42:23.035327 : Epoch  9, Batch    762, Loss  0.765369, Average Loss  0.770410, Time  0.250662
2021-09-23 01:42:24.398957 : Epoch  5, Batch     15, Loss  0.867663, Average Loss  0.870146, Time  0.413190
2021-09-23 01:42:24.919388 : Epoch  9, Batch    763, Loss  0.787775, Average Loss  0.770509, Time  0.248801
2021-09-23 01:42:26.873040 : Epoch  9, Batch    764, Loss  0.758867, Average Loss  0.770455, Time  0.334512
2021-09-23 01:42:28.955393 : Epoch  9, Batch    765, Loss  0.761855, Average Loss  0.770446, Time  0.249314
2021-09-23 01:42:29.376973 : Epoch  5, Batch     16, Loss  0.868476, Average Loss  0.870115, Time  0.413192
2021-09-23 01:42:30.946350 : Epoch  9, Batch    766, Loss  0.771472, Average Loss  0.770451, Time  0.252714
2021-09-23 01:42:32.835050 : Epoch  9, Batch    767, Loss  0.776778, Average Loss  0.770468, Time  0.251708
2021-09-23 01:42:34.346758 : Epoch  5, Batch     17, Loss  0.868196, Average Loss  0.870131, Time  0.413419
2021-09-23 01:42:34.731409 : Epoch  9, Batch    768, Loss  0.761432, Average Loss  0.770413, Time  0.256454
2021-09-23 01:42:36.709261 : Epoch  9, Batch    769, Loss  0.783073, Average Loss  0.770442, Time  0.248723
2021-09-23 01:42:38.664092 : Epoch  9, Batch    770, Loss  0.776702, Average Loss  0.770503, Time  0.329075
2021-09-23 01:42:39.328727 : Epoch  5, Batch     18, Loss  0.879065, Average Loss  0.870210, Time  0.414601
2021-09-23 01:42:40.535623 : Epoch  9, Batch    771, Loss  0.769316, Average Loss  0.770486, Time  0.250107
2021-09-23 01:42:42.430945 : Epoch  9, Batch    772, Loss  0.770965, Average Loss  0.770486, Time  0.252090
2021-09-23 01:42:44.308360 : Epoch  9, Batch    773, Loss  0.778077, Average Loss  0.770516, Time  0.249819
2021-09-23 01:42:46.221241 : Epoch  9, Batch    774, Loss  0.774802, Average Loss  0.770551, Time  0.251911
2021-09-23 01:42:49.294842 : Epoch  5, Batch     20, Loss  0.864455, Average Loss  0.870152, Time  0.419283
2021-09-23 01:42:50.025272 : Epoch  9, Batch    775, Loss  0.773174, Average Loss  0.770494, Time  0.250822
2021-09-23 01:42:51.993405 : Epoch  9, Batch    776, Loss  0.771118, Average Loss  0.770495, Time  0.326254
2021-09-23 01:42:53.860704 : Epoch  9, Batch    777, Loss  0.775001, Average Loss  0.770520, Time  0.259968
2021-09-23 01:42:54.264003 : Epoch  5, Batch     21, Loss  0.857609, Average Loss  0.870021, Time  0.413445
2021-09-23 01:42:55.770307 : Epoch  9, Batch    778, Loss  0.768450, Average Loss  0.770518, Time  0.249625
2021-09-23 01:42:57.676983 : Epoch  9, Batch    779, Loss  0.774415, Average Loss  0.770522, Time  0.249750
2021-09-23 01:42:59.246766 : Epoch  5, Batch     22, Loss  0.873222, Average Loss  0.870035, Time  0.414225
2021-09-23 01:42:59.560161 : Epoch  9, Batch    780, Loss  0.760600, Average Loss  0.770448, Time  0.251696
2021-09-23 01:43:01.472271 : Epoch  9, Batch    781, Loss  0.776821, Average Loss  0.770511, Time  0.286703
2021-09-23 01:43:03.346298 : Epoch  9, Batch    782, Loss  0.782373, Average Loss  0.770604, Time  0.250816
2021-09-23 01:43:04.257924 : Epoch  5, Batch     23, Loss  0.862340, Average Loss  0.869993, Time  0.452536
2021-09-23 01:43:05.232884 : Epoch  9, Batch    783, Loss  0.773712, Average Loss  0.770551, Time  0.253645
2021-09-23 01:43:07.183847 : Epoch  9, Batch    784, Loss  0.766495, Average Loss  0.770559, Time  0.323713
2021-09-23 01:43:07.644752 : CheckPoint: Validation Loss  0.00033300, Best Loss  0.00030514
2021-09-23 01:43:09.071187 : Epoch  9, Batch    785, Loss  0.772391, Average Loss  0.770555, Time  0.251289
2021-09-23 01:43:09.238733 : Epoch  5, Batch     24, Loss  0.865972, Average Loss  0.870025, Time  0.413134
2021-09-23 01:43:09.540620 : Epoch  9, Batch    605, Loss  0.764146, Average Loss  0.769828, Time  0.253890
2021-09-23 01:43:10.939865 : Epoch  9, Batch    786, Loss  0.756361, Average Loss  0.770484, Time  0.248722
2021-09-23 01:43:11.443487 : Epoch  9, Batch    606, Loss  0.771992, Average Loss  0.769829, Time  0.253846
2021-09-23 01:43:12.815319 : Epoch  9, Batch    787, Loss  0.778241, Average Loss  0.770529, Time  0.254213
2021-09-23 01:43:12.855639 : Saving Model after 9-th Epoch.
2021-09-23 01:43:13.337811 : Epoch  9, Batch    607, Loss  0.761491, Average Loss  0.769775, Time  0.256007
2021-09-23 01:43:13.728548 : Epoch Finished.
2021-09-23 01:43:14.192793 : Epoch  5, Batch     25, Loss  0.862785, Average Loss  0.870010, Time  0.413283
2021-09-23 01:43:15.555104 : Batch Shuffled
2021-09-23 01:43:15.604819 : Epoch  9, Batch    608, Loss  0.768960, Average Loss  0.769739, Time  0.253079
2021-09-23 01:43:17.577320 : Epoch 10, Batch      1, Loss  0.766809, Average Loss  0.770517, Time  0.409982
2021-09-23 01:43:17.674242 : Epoch  9, Batch    609, Loss  0.778561, Average Loss  0.769780, Time  0.372716
2021-09-23 01:43:19.191920 : Epoch  5, Batch     26, Loss  0.856290, Average Loss  0.869913, Time  0.415414
2021-09-23 01:43:19.641100 : Epoch 10, Batch      2, Loss  0.762684, Average Loss  0.770468, Time  0.434043
2021-09-23 01:43:19.722063 : Epoch  9, Batch    610, Loss  0.760714, Average Loss  0.769734, Time  0.401379
2021-09-23 01:43:21.702050 : Epoch 10, Batch      3, Loss  0.777799, Average Loss  0.770516, Time  0.434530
2021-09-23 01:43:21.776947 : Epoch  9, Batch    611, Loss  0.763565, Average Loss  0.769652, Time  0.401981
2021-09-23 01:43:23.747044 : Epoch 10, Batch      4, Loss  0.759929, Average Loss  0.770409, Time  0.421142
2021-09-23 01:43:23.839532 : Epoch  9, Batch    612, Loss  0.775836, Average Loss  0.769656, Time  0.394891
2021-09-23 01:43:24.174757 : Epoch  5, Batch     27, Loss  0.862860, Average Loss  0.869878, Time  0.413584
2021-09-23 01:43:25.794680 : Epoch 10, Batch      5, Loss  0.772497, Average Loss  0.770434, Time  0.414870
2021-09-23 01:43:25.889274 : Epoch  9, Batch    613, Loss  0.790205, Average Loss  0.769776, Time  0.385547
2021-09-23 01:43:27.856316 : Epoch 10, Batch      6, Loss  0.775424, Average Loss  0.770418, Time  0.426551
2021-09-23 01:43:27.939009 : Epoch  9, Batch    614, Loss  0.778044, Average Loss  0.769823, Time  0.394841
2021-09-23 01:43:29.159785 : Epoch  5, Batch     28, Loss  0.878294, Average Loss  0.869921, Time  0.413252
2021-09-23 01:43:29.903721 : Epoch 10, Batch      7, Loss  0.769825, Average Loss  0.770462, Time  0.410818
2021-09-23 01:43:29.996444 : Epoch  9, Batch    615, Loss  0.771187, Average Loss  0.769901, Time  0.373462
2021-09-23 01:43:31.961220 : Epoch 10, Batch      8, Loss  0.780525, Average Loss  0.770552, Time  0.432314
2021-09-23 01:43:32.039350 : Epoch  9, Batch    616, Loss  0.765602, Average Loss  0.769914, Time  0.399311
2021-09-23 01:43:34.066202 : Epoch 10, Batch      9, Loss  0.771167, Average Loss  0.770538, Time  0.462211
2021-09-23 01:43:34.120223 : Epoch  9, Batch    617, Loss  0.773582, Average Loss  0.769888, Time  0.434828
2021-09-23 01:43:34.133041 : Epoch  5, Batch     29, Loss  0.859491, Average Loss  0.869898, Time  0.413031
2021-09-23 01:43:36.168321 : Epoch 10, Batch     10, Loss  0.784489, Average Loss  0.770557, Time  0.465995
2021-09-23 01:43:36.222821 : Epoch  9, Batch    618, Loss  0.758629, Average Loss  0.769888, Time  0.434018
2021-09-23 01:43:38.270980 : Epoch 10, Batch     11, Loss  0.753339, Average Loss  0.770560, Time  0.469118
2021-09-23 01:43:38.318568 : Epoch  9, Batch    619, Loss  0.779610, Average Loss  0.769911, Time  0.434137
2021-09-23 01:43:39.141780 : Epoch  5, Batch     30, Loss  0.867664, Average Loss  0.869899, Time  0.413414
2021-09-23 01:43:40.375568 : Epoch 10, Batch     12, Loss  0.773297, Average Loss  0.770602, Time  0.475857
2021-09-23 01:43:40.425647 : Epoch  9, Batch    620, Loss  0.759644, Average Loss  0.769828, Time  0.445212
2021-09-23 01:43:42.473892 : Epoch 10, Batch     13, Loss  0.774815, Average Loss  0.770638, Time  0.461789
2021-09-23 01:43:42.532917 : Epoch  9, Batch    621, Loss  0.769460, Average Loss  0.769856, Time  0.440379
2021-09-23 01:43:44.140807 : Epoch  5, Batch     31, Loss  0.891249, Average Loss  0.870047, Time  0.414249
2021-09-23 01:43:44.619304 : Epoch 10, Batch     14, Loss  0.773200, Average Loss  0.770630, Time  0.495232
2021-09-23 01:43:44.644929 : Epoch  9, Batch    622, Loss  0.768690, Average Loss  0.769832, Time  0.460190
2021-09-23 01:43:46.723591 : Epoch 10, Batch     15, Loss  0.756429, Average Loss  0.770530, Time  0.486661
2021-09-23 01:43:46.765749 : Epoch  9, Batch    623, Loss  0.762888, Average Loss  0.769848, Time  0.456087
2021-09-23 01:43:48.795847 : Epoch 10, Batch     16, Loss  0.771053, Average Loss  0.770564, Time  0.458736
2021-09-23 01:43:48.856564 : Epoch  9, Batch    624, Loss  0.773670, Average Loss  0.769883, Time  0.424797
2021-09-23 01:43:49.135107 : Epoch  5, Batch     32, Loss  0.886889, Average Loss  0.870171, Time  0.432537
2021-09-23 01:43:50.850421 : Epoch 10, Batch     17, Loss  0.759864, Average Loss  0.770506, Time  0.435255
2021-09-23 01:43:50.927928 : Epoch  9, Batch    625, Loss  0.774264, Average Loss  0.769892, Time  0.400774
2021-09-23 01:43:52.836220 : Epoch  9, Batch    626, Loss  0.771910, Average Loss  0.769875, Time  0.253964
2021-09-23 01:43:54.105791 : Epoch  5, Batch     33, Loss  0.877568, Average Loss  0.870287, Time  0.414118
2021-09-23 01:43:54.757908 : Epoch  9, Batch    627, Loss  0.767552, Average Loss  0.769842, Time  0.254262
2021-09-23 01:43:56.645565 : Epoch  9, Batch    628, Loss  0.762718, Average Loss  0.769780, Time  0.252001
2021-09-23 01:43:58.549544 : Epoch  9, Batch    629, Loss  0.771186, Average Loss  0.769831, Time  0.253897
2021-09-23 01:43:59.082788 : Epoch  5, Batch     34, Loss  0.872040, Average Loss  0.870250, Time  0.414095
2021-09-23 01:44:00.445773 : Epoch  9, Batch    630, Loss  0.775467, Average Loss  0.769817, Time  0.252506
2021-09-23 01:44:02.357914 : Epoch  9, Batch    631, Loss  0.766161, Average Loss  0.769863, Time  0.252887
2021-09-23 01:44:04.059727 : Epoch  5, Batch     35, Loss  0.875774, Average Loss  0.870371, Time  0.413476
2021-09-23 01:44:04.338169 : Epoch  9, Batch    632, Loss  0.773089, Average Loss  0.769882, Time  0.328694
2021-09-23 01:44:06.246220 : Epoch  9, Batch    633, Loss  0.766401, Average Loss  0.769879, Time  0.252257
2021-09-23 01:44:08.149865 : Epoch  9, Batch    634, Loss  0.777076, Average Loss  0.769940, Time  0.253590
2021-09-23 01:44:09.036005 : Epoch  5, Batch     36, Loss  0.880964, Average Loss  0.870392, Time  0.412971
2021-09-23 01:44:10.080794 : Epoch  9, Batch    635, Loss  0.750957, Average Loss  0.769854, Time  0.262103
2021-09-23 01:44:11.975380 : Epoch  9, Batch    636, Loss  0.789601, Average Loss  0.769928, Time  0.251033
2021-09-23 01:44:13.883239 : Epoch  9, Batch    637, Loss  0.764519, Average Loss  0.769868, Time  0.252043
2021-09-23 01:44:14.031733 : Epoch  5, Batch     37, Loss  0.870972, Average Loss  0.870330, Time  0.413391
2021-09-23 01:44:15.857682 : Epoch  9, Batch    638, Loss  0.760199, Average Loss  0.769790, Time  0.327763
2021-09-23 01:44:17.764422 : Epoch  9, Batch    639, Loss  0.768039, Average Loss  0.769777, Time  0.252416
2021-09-23 01:44:19.006395 : Epoch  5, Batch     38, Loss  0.854617, Average Loss  0.870226, Time  0.413626
2021-09-23 01:44:19.674249 : Epoch  9, Batch    640, Loss  0.767204, Average Loss  0.769760, Time  0.252411
2021-09-23 01:44:21.589474 : Epoch  9, Batch    641, Loss  0.767505, Average Loss  0.769754, Time  0.254979
2021-09-23 01:44:23.511206 : Epoch  9, Batch    642, Loss  0.758007, Average Loss  0.769733, Time  0.263690
2021-09-23 01:44:23.979774 : Epoch  5, Batch     39, Loss  0.870709, Average Loss  0.870245, Time  0.413266
2021-09-23 01:44:25.427865 : Epoch  9, Batch    643, Loss  0.777123, Average Loss  0.769756, Time  0.251255
2021-09-23 01:44:27.398600 : Epoch  9, Batch    644, Loss  0.758641, Average Loss  0.769740, Time  0.326324
2021-09-23 01:44:28.951102 : Epoch  5, Batch     40, Loss  0.865513, Average Loss  0.870175, Time  0.413263
2021-09-23 01:44:29.287280 : Epoch  9, Batch    645, Loss  0.772743, Average Loss  0.769714, Time  0.252855
2021-09-23 01:44:31.165235 : Epoch  9, Batch    646, Loss  0.759823, Average Loss  0.769636, Time  0.251848
2021-09-23 01:44:33.075620 : Epoch  9, Batch    647, Loss  0.771999, Average Loss  0.769686, Time  0.265066
2021-09-23 01:44:33.971956 : Epoch  5, Batch     41, Loss  0.876094, Average Loss  0.870208, Time  0.455112
2021-09-23 01:44:34.996412 : Epoch  9, Batch    648, Loss  0.776373, Average Loss  0.769682, Time  0.252737
2021-09-23 01:44:36.918449 : Epoch  9, Batch    649, Loss  0.766870, Average Loss  0.769662, Time  0.251870
2021-09-23 01:44:38.901082 : Epoch  9, Batch    650, Loss  0.748861, Average Loss  0.769593, Time  0.330337
2021-09-23 01:44:38.944047 : Epoch  5, Batch     42, Loss  0.875340, Average Loss  0.870231, Time  0.413172
2021-09-23 01:44:40.821031 : Epoch  9, Batch    651, Loss  0.770525, Average Loss  0.769648, Time  0.256731
2021-09-23 01:44:42.726838 : Epoch  9, Batch    652, Loss  0.764682, Average Loss  0.769623, Time  0.259403
2021-09-23 01:44:43.919747 : Epoch  5, Batch     43, Loss  0.863506, Average Loss  0.870249, Time  0.414654
2021-09-23 01:44:44.628679 : Epoch  9, Batch    653, Loss  0.772210, Average Loss  0.769684, Time  0.255583
2021-09-23 01:44:46.528777 : Epoch  9, Batch    654, Loss  0.774506, Average Loss  0.769724, Time  0.255917
2021-09-23 01:44:48.417218 : Epoch  9, Batch    655, Loss  0.778710, Average Loss  0.769763, Time  0.252203
2021-09-23 01:44:48.911100 : Epoch  5, Batch     44, Loss  0.878952, Average Loss  0.870313, Time  0.413137
2021-09-23 01:44:50.361152 : Epoch  9, Batch    656, Loss  0.773900, Average Loss  0.769779, Time  0.277559
2021-09-23 01:44:52.274901 : Epoch  9, Batch    657, Loss  0.764496, Average Loss  0.769751, Time  0.271857
2021-09-23 01:44:53.914807 : Epoch  5, Batch     45, Loss  0.880542, Average Loss  0.870389, Time  0.414171
2021-09-23 01:44:54.176565 : Epoch  9, Batch    658, Loss  0.766465, Average Loss  0.769630, Time  0.250868
2021-09-23 01:44:56.060239 : Epoch  9, Batch    659, Loss  0.760529, Average Loss  0.769599, Time  0.252816
2021-09-23 01:44:57.950352 : Epoch  9, Batch    660, Loss  0.762890, Average Loss  0.769529, Time  0.253779
2021-09-23 01:44:58.898901 : Epoch  5, Batch     46, Loss  0.875931, Average Loss  0.870403, Time  0.415046
2021-09-23 01:44:59.858594 : Epoch  9, Batch    661, Loss  0.758980, Average Loss  0.769455, Time  0.251211
2021-09-23 01:45:00.854714 : CheckPoint: Validation Loss  0.00031830, Best Loss  0.00030606
2021-09-23 01:45:01.773006 : Epoch  9, Batch    662, Loss  0.772507, Average Loss  0.769500, Time  0.253412
2021-09-23 01:45:02.730762 : Epoch 10, Batch     18, Loss  0.757860, Average Loss  0.770433, Time  0.248862
2021-09-23 01:45:03.692124 : Epoch  9, Batch    663, Loss  0.765921, Average Loss  0.769496, Time  0.263030
2021-09-23 01:45:03.899738 : Epoch  5, Batch     47, Loss  0.870058, Average Loss  0.870448, Time  0.414389
2021-09-23 01:45:04.616663 : Epoch 10, Batch     19, Loss  0.773319, Average Loss  0.770458, Time  0.251984
2021-09-23 01:45:05.602770 : Epoch  9, Batch    664, Loss  0.767607, Average Loss  0.769515, Time  0.251933
2021-09-23 01:45:06.502350 : Epoch 10, Batch     20, Loss  0.768256, Average Loss  0.770430, Time  0.249915
2021-09-23 01:45:07.517952 : Epoch  9, Batch    665, Loss  0.772287, Average Loss  0.769502, Time  0.253004
2021-09-23 01:45:08.379616 : Epoch 10, Batch     21, Loss  0.760063, Average Loss  0.770386, Time  0.251218
2021-09-23 01:45:08.874215 : Epoch  5, Batch     48, Loss  0.874782, Average Loss  0.870393, Time  0.413578
2021-09-23 01:45:09.410820 : Epoch  9, Batch    666, Loss  0.766781, Average Loss  0.769512, Time  0.253565
2021-09-23 01:45:10.262034 : Epoch 10, Batch     22, Loss  0.777448, Average Loss  0.770418, Time  0.254227
2021-09-23 01:45:11.312997 : Epoch  9, Batch    667, Loss  0.770569, Average Loss  0.769488, Time  0.252644
2021-09-23 01:45:12.131081 : Epoch 10, Batch     23, Loss  0.774793, Average Loss  0.770433, Time  0.250315
2021-09-23 01:45:13.228389 : Epoch  9, Batch    668, Loss  0.771255, Average Loss  0.769486, Time  0.254678
2021-09-23 01:45:13.850767 : Epoch  5, Batch     49, Loss  0.863441, Average Loss  0.870390, Time  0.413471
2021-09-23 01:45:14.030275 : Epoch 10, Batch     24, Loss  0.774898, Average Loss  0.770437, Time  0.248829
2021-09-23 01:45:15.132276 : Epoch  9, Batch    669, Loss  0.763109, Average Loss  0.769487, Time  0.252820
2021-09-23 01:45:15.897930 : Epoch 10, Batch     25, Loss  0.773125, Average Loss  0.770486, Time  0.251606
2021-09-23 01:45:17.041561 : Epoch  9, Batch    670, Loss  0.774172, Average Loss  0.769515, Time  0.266709
2021-09-23 01:45:17.770816 : Epoch 10, Batch     26, Loss  0.770492, Average Loss  0.770492, Time  0.251607
2021-09-23 01:45:18.826043 : Epoch  5, Batch     50, Loss  0.864904, Average Loss  0.870401, Time  0.422417
2021-09-23 01:45:18.944984 : Epoch  9, Batch    671, Loss  0.769816, Average Loss  0.769501, Time  0.253760
2021-09-23 01:45:19.675485 : Epoch 10, Batch     27, Loss  0.773258, Average Loss  0.770468, Time  0.259067
2021-09-23 01:45:20.844338 : Epoch  9, Batch    672, Loss  0.776523, Average Loss  0.769577, Time  0.253006
2021-09-23 01:45:21.550188 : Epoch 10, Batch     28, Loss  0.757826, Average Loss  0.770431, Time  0.248715
2021-09-23 01:45:22.749285 : Epoch  9, Batch    673, Loss  0.762901, Average Loss  0.769558, Time  0.252334
2021-09-23 01:45:23.429236 : Epoch 10, Batch     29, Loss  0.780331, Average Loss  0.770487, Time  0.250030
2021-09-23 01:45:23.831944 : Epoch  5, Batch     51, Loss  0.868462, Average Loss  0.870388, Time  0.459274
2021-09-23 01:45:24.644390 : Epoch  9, Batch    674, Loss  0.761068, Average Loss  0.769523, Time  0.251540
2021-09-23 01:45:25.312852 : Epoch 10, Batch     30, Loss  0.774804, Average Loss  0.770510, Time  0.250532
2021-09-23 01:45:27.193038 : Epoch 10, Batch     31, Loss  0.775380, Average Loss  0.770562, Time  0.249071
2021-09-23 01:45:28.313695 : Epoch  9, Batch    675, Loss  0.766475, Average Loss  0.769459, Time  0.253561
2021-09-23 01:45:28.855008 : Epoch  5, Batch     52, Loss  0.876213, Average Loss  0.870455, Time  0.413473
2021-09-23 01:45:29.084127 : Epoch 10, Batch     32, Loss  0.766391, Average Loss  0.770574, Time  0.250039
2021-09-23 01:45:30.224934 : Epoch  9, Batch    676, Loss  0.766878, Average Loss  0.769455, Time  0.252300
2021-09-23 01:45:30.958276 : Epoch 10, Batch     33, Loss  0.776081, Average Loss  0.770586, Time  0.249712
2021-09-23 01:45:32.123732 : Epoch  9, Batch    677, Loss  0.765698, Average Loss  0.769462, Time  0.252336
2021-09-23 01:45:32.841556 : Epoch 10, Batch     34, Loss  0.766026, Average Loss  0.770599, Time  0.250182
2021-09-23 01:45:33.834007 : Epoch  5, Batch     53, Loss  0.877394, Average Loss  0.870490, Time  0.413457
2021-09-23 01:45:34.047122 : Epoch  9, Batch    678, Loss  0.767363, Average Loss  0.769416, Time  0.253135
2021-09-23 01:45:34.715981 : Epoch 10, Batch     35, Loss  0.767228, Average Loss  0.770587, Time  0.252576
2021-09-23 01:45:35.956800 : Epoch  9, Batch    679, Loss  0.764122, Average Loss  0.769427, Time  0.253444
2021-09-23 01:45:36.607183 : Epoch 10, Batch     36, Loss  0.760906, Average Loss  0.770498, Time  0.248241
2021-09-23 01:45:37.871889 : Epoch  9, Batch    680, Loss  0.765586, Average Loss  0.769430, Time  0.256252
2021-09-23 01:45:38.504277 : Epoch 10, Batch     37, Loss  0.777954, Average Loss  0.770580, Time  0.249166
2021-09-23 01:45:38.810766 : Epoch  5, Batch     54, Loss  0.868726, Average Loss  0.870548, Time  0.415140
2021-09-23 01:45:39.779350 : Epoch  9, Batch    681, Loss  0.763815, Average Loss  0.769389, Time  0.252454
2021-09-23 01:45:40.379450 : Epoch 10, Batch     38, Loss  0.768232, Average Loss  0.770578, Time  0.249010
2021-09-23 01:45:41.692245 : Epoch  9, Batch    682, Loss  0.778032, Average Loss  0.769462, Time  0.251953
2021-09-23 01:45:42.275864 : Epoch 10, Batch     39, Loss  0.770097, Average Loss  0.770580, Time  0.249727
2021-09-23 01:45:43.636207 : Epoch  9, Batch    683, Loss  0.771901, Average Loss  0.769512, Time  0.258860
2021-09-23 01:45:43.781745 : Epoch  5, Batch     55, Loss  0.874935, Average Loss  0.870551, Time  0.413381
2021-09-23 01:45:44.144338 : Epoch 10, Batch     40, Loss  0.775981, Average Loss  0.770656, Time  0.248708
2021-09-23 01:45:45.572393 : Epoch  9, Batch    684, Loss  0.773202, Average Loss  0.769509, Time  0.255626
2021-09-23 01:45:46.030636 : Epoch 10, Batch     41, Loss  0.765453, Average Loss  0.770598, Time  0.250775
2021-09-23 01:45:47.473274 : Epoch  9, Batch    685, Loss  0.772931, Average Loss  0.769489, Time  0.251328
2021-09-23 01:45:47.892392 : Epoch 10, Batch     42, Loss  0.770167, Average Loss  0.770590, Time  0.250240
2021-09-23 01:45:48.752742 : Epoch  5, Batch     56, Loss  0.864019, Average Loss  0.870477, Time  0.414317
2021-09-23 01:45:49.397139 : Epoch  9, Batch    686, Loss  0.780964, Average Loss  0.769588, Time  0.252004
2021-09-23 01:45:49.778340 : Epoch 10, Batch     43, Loss  0.773052, Average Loss  0.770583, Time  0.250740
2021-09-23 01:45:51.327920 : Epoch  9, Batch    687, Loss  0.761887, Average Loss  0.769574, Time  0.250939
2021-09-23 01:45:51.663854 : Epoch 10, Batch     44, Loss  0.768657, Average Loss  0.770563, Time  0.249138
2021-09-23 01:45:53.248293 : Epoch  9, Batch    688, Loss  0.761706, Average Loss  0.769525, Time  0.251123
2021-09-23 01:45:53.555124 : Epoch 10, Batch     45, Loss  0.771732, Average Loss  0.770652, Time  0.249752
2021-09-23 01:45:53.747776 : Epoch  5, Batch     57, Loss  0.864731, Average Loss  0.870468, Time  0.413707
2021-09-23 01:45:55.173209 : Epoch  9, Batch    689, Loss  0.761287, Average Loss  0.769507, Time  0.253733
2021-09-23 01:45:55.423363 : Epoch 10, Batch     46, Loss  0.767933, Average Loss  0.770719, Time  0.249338
2021-09-23 01:45:57.082477 : Epoch  9, Batch    690, Loss  0.759650, Average Loss  0.769447, Time  0.258537
2021-09-23 01:45:57.300524 : Epoch 10, Batch     47, Loss  0.757938, Average Loss  0.770681, Time  0.265848
2021-09-23 01:45:58.725818 : Epoch  5, Batch     58, Loss  0.872474, Average Loss  0.870534, Time  0.414636
2021-09-23 01:45:59.070878 : Epoch  9, Batch    691, Loss  0.768429, Average Loss  0.769397, Time  0.338580
2021-09-23 01:45:59.221266 : Epoch 10, Batch     48, Loss  0.760876, Average Loss  0.770695, Time  0.299287
2021-09-23 01:46:01.147433 : Epoch  9, Batch    692, Loss  0.764189, Average Loss  0.769395, Time  0.430356
2021-09-23 01:46:01.243528 : Epoch 10, Batch     49, Loss  0.765504, Average Loss  0.770645, Time  0.399677
2021-09-23 01:46:03.290952 : Epoch  9, Batch    693, Loss  0.769834, Average Loss  0.769368, Time  0.495164
2021-09-23 01:46:03.323383 : Epoch 10, Batch     50, Loss  0.767658, Average Loss  0.770652, Time  0.454355
2021-09-23 01:46:03.703943 : Epoch  5, Batch     59, Loss  0.885590, Average Loss  0.870614, Time  0.413295
2021-09-23 01:46:05.468569 : Epoch  9, Batch    694, Loss  0.751066, Average Loss  0.769292, Time  0.518311
2021-09-23 01:46:05.507196 : Epoch 10, Batch     51, Loss  0.780644, Average Loss  0.770675, Time  0.519277
2021-09-23 01:46:07.633930 : Epoch  9, Batch    695, Loss  0.776343, Average Loss  0.769323, Time  0.515623
2021-09-23 01:46:07.669960 : Epoch 10, Batch     52, Loss  0.770391, Average Loss  0.770660, Time  0.503032
2021-09-23 01:46:08.719766 : Epoch  5, Batch     60, Loss  0.855791, Average Loss  0.870530, Time  0.456830
2021-09-23 01:46:09.819719 : Epoch  9, Batch    696, Loss  0.775131, Average Loss  0.769378, Time  0.515575
2021-09-23 01:46:09.850824 : Epoch 10, Batch     53, Loss  0.766702, Average Loss  0.770664, Time  0.500593
2021-09-23 01:46:11.981675 : Epoch  9, Batch    697, Loss  0.762317, Average Loss  0.769328, Time  0.516923
2021-09-23 01:46:12.016717 : Epoch 10, Batch     54, Loss  0.770554, Average Loss  0.770606, Time  0.501851
2021-09-23 01:46:13.705945 : Epoch  5, Batch     61, Loss  0.866483, Average Loss  0.870484, Time  0.413300
2021-09-23 01:46:14.145163 : Epoch 10, Batch     55, Loss  0.757476, Average Loss  0.770424, Time  0.515985
2021-09-23 01:46:14.173334 : Epoch  9, Batch    698, Loss  0.792374, Average Loss  0.769405, Time  0.513780
2021-09-23 01:46:16.267655 : Epoch 10, Batch     56, Loss  0.760943, Average Loss  0.770390, Time  0.493832
2021-09-23 01:46:16.304525 : Epoch  9, Batch    699, Loss  0.761876, Average Loss  0.769349, Time  0.470430
2021-09-23 01:46:18.425499 : Epoch  9, Batch    700, Loss  0.777435, Average Loss  0.769468, Time  0.462842
2021-09-23 01:46:18.492959 : Epoch 10, Batch     57, Loss  0.762151, Average Loss  0.770404, Time  0.432608
2021-09-23 01:46:18.680967 : Epoch  5, Batch     62, Loss  0.869935, Average Loss  0.870411, Time  0.413205
2021-09-23 01:46:20.469444 : Epoch  9, Batch    701, Loss  0.755067, Average Loss  0.769375, Time  0.400542
2021-09-23 01:46:20.573005 : Epoch 10, Batch     58, Loss  0.759701, Average Loss  0.770358, Time  0.363325
2021-09-23 01:46:22.474153 : Epoch  9, Batch    702, Loss  0.770789, Average Loss  0.769419, Time  0.358266
2021-09-23 01:46:22.609747 : Epoch 10, Batch     59, Loss  0.770031, Average Loss  0.770405, Time  0.321475
2021-09-23 01:46:23.653018 : Epoch  5, Batch     63, Loss  0.868130, Average Loss  0.870381, Time  0.413580
2021-09-23 01:46:24.464813 : Epoch  9, Batch    703, Loss  0.768498, Average Loss  0.769392, Time  0.349126
2021-09-23 01:46:24.607044 : Epoch 10, Batch     60, Loss  0.774171, Average Loss  0.770419, Time  0.310144
2021-09-23 01:46:26.540971 : Epoch 10, Batch     61, Loss  0.759120, Average Loss  0.770319, Time  0.250778
2021-09-23 01:46:28.158578 : Epoch  9, Batch    704, Loss  0.778798, Average Loss  0.769471, Time  0.252082
2021-09-23 01:46:28.428175 : Epoch 10, Batch     62, Loss  0.768869, Average Loss  0.770318, Time  0.249893
2021-09-23 01:46:28.620768 : Epoch  5, Batch     64, Loss  0.895591, Average Loss  0.870573, Time  0.413320
2021-09-23 01:46:30.313028 : Epoch 10, Batch     63, Loss  0.774702, Average Loss  0.770321, Time  0.254990
2021-09-23 01:46:32.203278 : Epoch 10, Batch     64, Loss  0.769328, Average Loss  0.770316, Time  0.254115
2021-09-23 01:46:33.588920 : Epoch  5, Batch     65, Loss  0.878428, Average Loss  0.870677, Time  0.413321
2021-09-23 01:46:34.091878 : Epoch 10, Batch     65, Loss  0.750765, Average Loss  0.770249, Time  0.250846
2021-09-23 01:46:35.999014 : Epoch 10, Batch     66, Loss  0.774372, Average Loss  0.770216, Time  0.252784
2021-09-23 01:46:37.875577 : Epoch 10, Batch     67, Loss  0.767280, Average Loss  0.770247, Time  0.248683
2021-09-23 01:46:38.558066 : Epoch  5, Batch     66, Loss  0.860103, Average Loss  0.870716, Time  0.412960
2021-09-23 01:46:39.751031 : Epoch 10, Batch     68, Loss  0.764213, Average Loss  0.770181, Time  0.248435
2021-09-23 01:46:41.701289 : Epoch 10, Batch     69, Loss  0.782741, Average Loss  0.770180, Time  0.322206
2021-09-23 01:46:43.538979 : Epoch  5, Batch     67, Loss  0.859152, Average Loss  0.870743, Time  0.413570
2021-09-23 01:46:43.600601 : Epoch 10, Batch     70, Loss  0.754666, Average Loss  0.770064, Time  0.272197
2021-09-23 01:46:45.486218 : Epoch 10, Batch     71, Loss  0.779184, Average Loss  0.770056, Time  0.249432
2021-09-23 01:46:47.435371 : Epoch 10, Batch     72, Loss  0.758526, Average Loss  0.770013, Time  0.274953
2021-09-23 01:46:48.534917 : Epoch  5, Batch     68, Loss  0.859483, Average Loss  0.870666, Time  0.413290
2021-09-23 01:46:49.339028 : Epoch 10, Batch     73, Loss  0.773379, Average Loss  0.770083, Time  0.279114
2021-09-23 01:46:51.223285 : Epoch 10, Batch     74, Loss  0.769255, Average Loss  0.770074, Time  0.248770
2021-09-23 01:46:53.100407 : Epoch 10, Batch     75, Loss  0.779296, Average Loss  0.770128, Time  0.249333
2021-09-23 01:46:53.569023 : Epoch  5, Batch     69, Loss  0.871830, Average Loss  0.870635, Time  0.459812
2021-09-23 01:46:54.981834 : Epoch 10, Batch     76, Loss  0.777384, Average Loss  0.770202, Time  0.249766
2021-09-23 01:46:56.933850 : Epoch 10, Batch     77, Loss  0.776670, Average Loss  0.770230, Time  0.325216
2021-09-23 01:46:58.539805 : Epoch  5, Batch     70, Loss  0.872215, Average Loss  0.870534, Time  0.413977
2021-09-23 01:46:58.824789 : Epoch 10, Batch     78, Loss  0.783174, Average Loss  0.770226, Time  0.252996
2021-09-23 01:47:00.716454 : Epoch 10, Batch     79, Loss  0.771786, Average Loss  0.770238, Time  0.256855
2021-09-23 01:47:02.607703 : Epoch 10, Batch     80, Loss  0.774947, Average Loss  0.770222, Time  0.259374
2021-09-23 01:47:03.514816 : Epoch  5, Batch     71, Loss  0.874678, Average Loss  0.870537, Time  0.414055
2021-09-23 01:47:04.489491 : Epoch 10, Batch     81, Loss  0.770233, Average Loss  0.770240, Time  0.249016
2021-09-23 01:47:06.375795 : Epoch 10, Batch     82, Loss  0.757957, Average Loss  0.770206, Time  0.250954
2021-09-23 01:47:08.299837 : Epoch 10, Batch     83, Loss  0.759578, Average Loss  0.770133, Time  0.258224
2021-09-23 01:47:08.488973 : Epoch  5, Batch     72, Loss  0.874495, Average Loss  0.870494, Time  0.413743
2021-09-23 01:47:10.275976 : Epoch 10, Batch     84, Loss  0.768481, Average Loss  0.770117, Time  0.327188
2021-09-23 01:47:12.175151 : Epoch 10, Batch     85, Loss  0.761408, Average Loss  0.770089, Time  0.258919
2021-09-23 01:47:13.485018 : Epoch  5, Batch     73, Loss  0.885529, Average Loss  0.870569, Time  0.418554
2021-09-23 01:47:14.047443 : Epoch 10, Batch     86, Loss  0.774607, Average Loss  0.770021, Time  0.251055
2021-09-23 01:47:15.915234 : Epoch 10, Batch     87, Loss  0.767461, Average Loss  0.769988, Time  0.250612
2021-09-23 01:47:18.442563 : Epoch  5, Batch     74, Loss  0.868967, Average Loss  0.870526, Time  0.413220
2021-09-23 01:47:19.608593 : Epoch 10, Batch     88, Loss  0.772658, Average Loss  0.769973, Time  0.248084
2021-09-23 01:47:21.507775 : Epoch 10, Batch     89, Loss  0.776466, Average Loss  0.770032, Time  0.260360
2021-09-23 01:47:23.382121 : Epoch 10, Batch     90, Loss  0.760704, Average Loss  0.769971, Time  0.251089
2021-09-23 01:47:23.462949 : Epoch  5, Batch     75, Loss  0.871758, Average Loss  0.870502, Time  0.413314
2021-09-23 01:47:25.337805 : Epoch 10, Batch     91, Loss  0.784644, Average Loss  0.770096, Time  0.328459
2021-09-23 01:47:27.250589 : Epoch 10, Batch     92, Loss  0.770190, Average Loss  0.770043, Time  0.249072
2021-09-23 01:47:28.452757 : Epoch  5, Batch     76, Loss  0.870703, Average Loss  0.870544, Time  0.413439
2021-09-23 01:47:29.136721 : Epoch 10, Batch     93, Loss  0.779135, Average Loss  0.770122, Time  0.250670
2021-09-23 01:47:31.028701 : Epoch 10, Batch     94, Loss  0.775826, Average Loss  0.770134, Time  0.248421
2021-09-23 01:47:32.908942 : Epoch 10, Batch     95, Loss  0.779264, Average Loss  0.770207, Time  0.257049
2021-09-23 01:47:33.433998 : Epoch  5, Batch     77, Loss  0.876724, Average Loss  0.870573, Time  0.413212
2021-09-23 01:47:34.796231 : Epoch 10, Batch     96, Loss  0.776059, Average Loss  0.770173, Time  0.276641
2021-09-23 01:47:36.670606 : Epoch 10, Batch     97, Loss  0.771908, Average Loss  0.770164, Time  0.248406
2021-09-23 01:47:38.456185 : Epoch  5, Batch     78, Loss  0.869772, Average Loss  0.870562, Time  0.457909
2021-09-23 01:47:38.618854 : Epoch 10, Batch     98, Loss  0.764471, Average Loss  0.770091, Time  0.326740
2021-09-23 01:47:39.104146 : CheckPoint: Validation Loss  0.00032164, Best Loss  0.00030514
2021-09-23 01:47:40.498893 : Epoch 10, Batch     99, Loss  0.771992, Average Loss  0.770087, Time  0.258584
2021-09-23 01:47:40.994008 : Epoch  9, Batch    705, Loss  0.779570, Average Loss  0.769519, Time  0.255383
2021-09-23 01:47:42.388265 : Epoch 10, Batch    100, Loss  0.767027, Average Loss  0.770063, Time  0.250318
2021-09-23 01:47:42.889777 : Epoch  9, Batch    706, Loss  0.774277, Average Loss  0.769502, Time  0.256827
2021-09-23 01:47:43.420754 : Epoch  5, Batch     79, Loss  0.873922, Average Loss  0.870601, Time  0.412949
2021-09-23 01:47:44.260311 : Epoch 10, Batch    101, Loss  0.768181, Average Loss  0.770037, Time  0.251045
2021-09-23 01:47:44.787189 : Epoch  9, Batch    707, Loss  0.773299, Average Loss  0.769530, Time  0.258272
2021-09-23 01:47:46.135508 : Epoch 10, Batch    102, Loss  0.769894, Average Loss  0.770042, Time  0.256489
2021-09-23 01:47:46.700854 : Epoch  9, Batch    708, Loss  0.761741, Average Loss  0.769508, Time  0.251040
2021-09-23 01:47:47.993910 : Epoch 10, Batch    103, Loss  0.758272, Average Loss  0.769987, Time  0.248136
2021-09-23 01:47:48.379761 : Epoch  5, Batch     80, Loss  0.861288, Average Loss  0.870543, Time  0.416646
2021-09-23 01:47:48.592817 : Epoch  9, Batch    709, Loss  0.760871, Average Loss  0.769484, Time  0.250873
2021-09-23 01:47:49.863228 : Epoch 10, Batch    104, Loss  0.772603, Average Loss  0.769970, Time  0.250579
2021-09-23 01:47:50.482626 : Epoch  9, Batch    710, Loss  0.773319, Average Loss  0.769458, Time  0.251765
2021-09-23 01:47:51.752256 : Epoch 10, Batch    105, Loss  0.763866, Average Loss  0.769938, Time  0.253678
2021-09-23 01:47:52.412570 : Epoch  9, Batch    711, Loss  0.766737, Average Loss  0.769446, Time  0.253237
2021-09-23 01:47:53.352043 : Epoch  5, Batch     81, Loss  0.882049, Average Loss  0.870621, Time  0.413564
2021-09-23 01:47:53.626846 : Epoch 10, Batch    106, Loss  0.768351, Average Loss  0.769956, Time  0.250437
2021-09-23 01:47:54.331286 : Epoch  9, Batch    712, Loss  0.778328, Average Loss  0.769492, Time  0.253313
2021-09-23 01:47:55.516702 : Epoch 10, Batch    107, Loss  0.766197, Average Loss  0.769971, Time  0.266075
2021-09-23 01:47:56.232429 : Epoch  9, Batch    713, Loss  0.770347, Average Loss  0.769464, Time  0.251063
2021-09-23 01:47:57.392036 : Epoch 10, Batch    108, Loss  0.779316, Average Loss  0.769996, Time  0.249380
2021-09-23 01:47:58.135261 : Epoch  9, Batch    714, Loss  0.770943, Average Loss  0.769456, Time  0.253579
2021-09-23 01:47:58.325961 : Epoch  5, Batch     82, Loss  0.863020, Average Loss  0.870629, Time  0.414378
2021-09-23 01:47:59.272434 : Epoch 10, Batch    109, Loss  0.770877, Average Loss  0.770015, Time  0.250783
2021-09-23 01:48:00.035965 : Epoch  9, Batch    715, Loss  0.765868, Average Loss  0.769410, Time  0.251455
2021-09-23 01:48:01.142666 : Epoch 10, Batch    110, Loss  0.762511, Average Loss  0.769994, Time  0.251261
2021-09-23 01:48:01.939377 : Epoch  9, Batch    716, Loss  0.774445, Average Loss  0.769396, Time  0.251956
2021-09-23 01:48:03.059301 : Epoch 10, Batch    111, Loss  0.772033, Average Loss  0.770013, Time  0.253808
2021-09-23 01:48:03.290073 : Epoch  5, Batch     83, Loss  0.871688, Average Loss  0.870655, Time  0.414670
2021-09-23 01:48:03.830895 : Epoch  9, Batch    717, Loss  0.764892, Average Loss  0.769425, Time  0.251443
2021-09-23 01:48:04.928193 : Epoch 10, Batch    112, Loss  0.767929, Average Loss  0.769940, Time  0.250026
2021-09-23 01:48:05.746152 : Epoch  9, Batch    718, Loss  0.765673, Average Loss  0.769348, Time  0.253185
2021-09-23 01:48:06.795647 : Epoch 10, Batch    113, Loss  0.788088, Average Loss  0.770071, Time  0.249011
2021-09-23 01:48:07.636311 : Epoch  9, Batch    719, Loss  0.767164, Average Loss  0.769349, Time  0.251370
2021-09-23 01:48:08.233747 : Epoch  5, Batch     84, Loss  0.875626, Average Loss  0.870623, Time  0.413383
2021-09-23 01:48:08.667270 : Epoch 10, Batch    114, Loss  0.773416, Average Loss  0.770090, Time  0.252608
2021-09-23 01:48:09.536352 : Epoch  9, Batch    720, Loss  0.765383, Average Loss  0.769342, Time  0.252631
2021-09-23 01:48:10.550199 : Epoch 10, Batch    115, Loss  0.768421, Average Loss  0.770067, Time  0.252095
2021-09-23 01:48:11.441809 : Epoch  9, Batch    721, Loss  0.766053, Average Loss  0.769354, Time  0.251043
2021-09-23 01:48:12.475437 : Epoch 10, Batch    116, Loss  0.756709, Average Loss  0.770014, Time  0.250976
2021-09-23 01:48:13.224750 : Epoch  5, Batch     85, Loss  0.869898, Average Loss  0.870645, Time  0.414485
2021-09-23 01:48:13.338755 : Epoch  9, Batch    722, Loss  0.766247, Average Loss  0.769301, Time  0.254116
2021-09-23 01:48:14.354799 : Epoch 10, Batch    117, Loss  0.762985, Average Loss  0.769948, Time  0.251713
2021-09-23 01:48:15.248953 : Epoch  9, Batch    723, Loss  0.755174, Average Loss  0.769221, Time  0.260499
2021-09-23 01:48:17.162264 : Epoch  9, Batch    724, Loss  0.764492, Average Loss  0.769187, Time  0.255772
2021-09-23 01:48:18.201752 : Epoch  5, Batch     86, Loss  0.870227, Average Loss  0.870627, Time  0.413194
2021-09-23 01:48:19.067644 : Epoch  9, Batch    725, Loss  0.771880, Average Loss  0.769151, Time  0.254291
2021-09-23 01:48:20.970759 : Epoch  9, Batch    726, Loss  0.767978, Average Loss  0.769158, Time  0.251617
2021-09-23 01:48:22.949151 : Epoch  9, Batch    727, Loss  0.757745, Average Loss  0.769089, Time  0.324282
2021-09-23 01:48:23.222803 : Epoch  5, Batch     87, Loss  0.870577, Average Loss  0.870673, Time  0.466692
2021-09-23 01:48:24.844098 : Epoch  9, Batch    728, Loss  0.778167, Average Loss  0.769103, Time  0.255368
2021-09-23 01:48:26.761329 : Epoch  9, Batch    729, Loss  0.774788, Average Loss  0.769099, Time  0.258707
2021-09-23 01:48:28.217722 : Epoch  5, Batch     88, Loss  0.866849, Average Loss  0.870677, Time  0.419044
2021-09-23 01:48:28.664581 : Epoch  9, Batch    730, Loss  0.774291, Average Loss  0.769128, Time  0.257495
2021-09-23 01:48:30.571818 : Epoch  9, Batch    731, Loss  0.771185, Average Loss  0.769109, Time  0.254834
2021-09-23 01:48:32.512940 : Epoch  9, Batch    732, Loss  0.770138, Average Loss  0.769105, Time  0.258817
2021-09-23 01:48:34.492869 : Epoch  9, Batch    733, Loss  0.764747, Average Loss  0.769054, Time  0.330271
2021-09-23 01:48:36.395476 : Epoch  9, Batch    734, Loss  0.768160, Average Loss  0.769057, Time  0.251254
2021-09-23 01:48:38.316374 : Epoch  9, Batch    735, Loss  0.761813, Average Loss  0.769046, Time  0.268261
2021-09-23 01:48:40.233971 : Epoch  9, Batch    736, Loss  0.774726, Average Loss  0.769090, Time  0.264056
2021-09-23 01:48:42.158235 : Epoch  9, Batch    737, Loss  0.782238, Average Loss  0.769166, Time  0.263077
2021-09-23 01:48:44.093896 : Epoch  9, Batch    738, Loss  0.765594, Average Loss  0.769139, Time  0.252171
2021-09-23 01:48:46.047264 : Epoch  9, Batch    739, Loss  0.771244, Average Loss  0.769124, Time  0.300148
2021-09-23 01:48:47.961832 : Epoch  9, Batch    740, Loss  0.776653, Average Loss  0.769183, Time  0.253642
2021-09-23 01:48:49.866534 : Epoch  9, Batch    741, Loss  0.765644, Average Loss  0.769155, Time  0.252597
2021-09-23 01:48:51.761951 : Epoch  9, Batch    742, Loss  0.763265, Average Loss  0.769136, Time  0.251398
2021-09-23 01:48:53.678035 : Epoch  9, Batch    743, Loss  0.773686, Average Loss  0.769141, Time  0.260532
2021-09-23 01:48:55.600192 : Epoch  9, Batch    744, Loss  0.767877, Average Loss  0.769113, Time  0.256853
2021-09-23 01:48:57.576825 : Epoch  9, Batch    745, Loss  0.774176, Average Loss  0.769169, Time  0.325802
2021-09-23 01:48:59.496253 : Epoch  9, Batch    746, Loss  0.753039, Average Loss  0.769074, Time  0.251953
2021-09-23 01:49:01.410115 : Epoch  9, Batch    747, Loss  0.748262, Average Loss  0.768960, Time  0.250920
2021-09-23 01:49:03.315293 : Epoch  9, Batch    748, Loss  0.769547, Average Loss  0.769006, Time  0.254640
2021-09-23 01:49:05.190293 : Epoch  9, Batch    749, Loss  0.778747, Average Loss  0.769063, Time  0.254639
2021-09-23 01:49:07.064239 : Epoch  9, Batch    750, Loss  0.766259, Average Loss  0.769001, Time  0.254411
2021-09-23 01:49:09.022003 : Epoch  9, Batch    751, Loss  0.774045, Average Loss  0.769024, Time  0.323594
2021-09-23 01:49:10.904552 : Epoch  9, Batch    752, Loss  0.773086, Average Loss  0.769044, Time  0.258708
2021-09-23 01:49:12.780534 : Epoch  9, Batch    753, Loss  0.772997, Average Loss  0.769058, Time  0.253102
2021-09-23 01:49:14.669488 : Epoch  9, Batch    754, Loss  0.763272, Average Loss  0.769064, Time  0.256790
2021-09-23 01:49:16.566016 : Epoch  9, Batch    755, Loss  0.757600, Average Loss  0.768982, Time  0.253495
2021-09-23 01:49:18.486229 : Epoch  9, Batch    756, Loss  0.758860, Average Loss  0.768894, Time  0.253596
2021-09-23 01:49:20.482267 : Epoch  9, Batch    757, Loss  0.772949, Average Loss  0.768961, Time  0.324045
2021-09-23 01:49:22.403366 : Epoch  9, Batch    758, Loss  0.780122, Average Loss  0.768998, Time  0.262633
2021-09-23 01:49:24.213735 : CheckPoint: Validation Loss  0.00031655, Best Loss  0.00030606
2021-09-23 01:49:24.362624 : Epoch  9, Batch    759, Loss  0.767267, Average Loss  0.768957, Time  0.280504
2021-09-23 01:49:26.224078 : Epoch 10, Batch    118, Loss  0.768900, Average Loss  0.769900, Time  0.369441
2021-09-23 01:49:26.355847 : Epoch  9, Batch    760, Loss  0.772111, Average Loss  0.768992, Time  0.336667
2021-09-23 01:49:28.248479 : Epoch 10, Batch    119, Loss  0.760827, Average Loss  0.769865, Time  0.387269
2021-09-23 01:49:28.363544 : Epoch  9, Batch    761, Loss  0.772850, Average Loss  0.769045, Time  0.355661
2021-09-23 01:49:30.258778 : Epoch 10, Batch    120, Loss  0.764847, Average Loss  0.769808, Time  0.382290
2021-09-23 01:49:30.374237 : Epoch  9, Batch    762, Loss  0.765960, Average Loss  0.768995, Time  0.353620
2021-09-23 01:49:32.288720 : Epoch 10, Batch    121, Loss  0.781330, Average Loss  0.769898, Time  0.403900
2021-09-23 01:49:32.399642 : Epoch  9, Batch    763, Loss  0.772807, Average Loss  0.768972, Time  0.387864
2021-09-23 01:49:34.278890 : Epoch 10, Batch    122, Loss  0.785297, Average Loss  0.769944, Time  0.359430
2021-09-23 01:49:34.413302 : Epoch  9, Batch    764, Loss  0.759138, Average Loss  0.768871, Time  0.329988
2021-09-23 01:49:36.240046 : Epoch 10, Batch    123, Loss  0.779128, Average Loss  0.769912, Time  0.349630
2021-09-23 01:49:36.379459 : Epoch  9, Batch    765, Loss  0.771392, Average Loss  0.768863, Time  0.312528
2021-09-23 01:49:38.253058 : Epoch 10, Batch    124, Loss  0.769378, Average Loss  0.769830, Time  0.379968
2021-09-23 01:49:38.387247 : Epoch  9, Batch    766, Loss  0.772515, Average Loss  0.768894, Time  0.350213
2021-09-23 01:49:40.249339 : Epoch 10, Batch    125, Loss  0.774272, Average Loss  0.769812, Time  0.357562
2021-09-23 01:49:40.384699 : Epoch  9, Batch    767, Loss  0.768521, Average Loss  0.768887, Time  0.325712
2021-09-23 01:49:42.259805 : Epoch 10, Batch    126, Loss  0.764643, Average Loss  0.769748, Time  0.381151
2021-09-23 01:49:42.382026 : Epoch  9, Batch    768, Loss  0.771896, Average Loss  0.768910, Time  0.347741
2021-09-23 01:49:44.275956 : Epoch 10, Batch    127, Loss  0.758005, Average Loss  0.769646, Time  0.380307
2021-09-23 01:49:44.395133 : Epoch  9, Batch    769, Loss  0.769100, Average Loss  0.768890, Time  0.346259
2021-09-23 01:49:46.276727 : Epoch 10, Batch    128, Loss  0.778726, Average Loss  0.769701, Time  0.368443
2021-09-23 01:49:46.405300 : Epoch  9, Batch    770, Loss  0.771802, Average Loss  0.768922, Time  0.334726
2021-09-23 01:49:48.256304 : Epoch 10, Batch    129, Loss  0.763449, Average Loss  0.769603, Time  0.363094
2021-09-23 01:49:48.403025 : Epoch  9, Batch    771, Loss  0.780663, Average Loss  0.768986, Time  0.332202
2021-09-23 01:49:50.254406 : Epoch 10, Batch    130, Loss  0.782023, Average Loss  0.769705, Time  0.368741
2021-09-23 01:49:50.381515 : Epoch  9, Batch    772, Loss  0.764383, Average Loss  0.768948, Time  0.330442
2021-09-23 01:49:52.233965 : Epoch 10, Batch    131, Loss  0.771657, Average Loss  0.769746, Time  0.363996
2021-09-23 01:49:52.359890 : Epoch  9, Batch    773, Loss  0.777293, Average Loss  0.769055, Time  0.327241
2021-09-23 01:49:54.244268 : Epoch 10, Batch    132, Loss  0.769215, Average Loss  0.769732, Time  0.383401
2021-09-23 01:49:54.357984 : Epoch  9, Batch    774, Loss  0.761406, Average Loss  0.769016, Time  0.349218
2021-09-23 01:49:56.154138 : Epoch 10, Batch    133, Loss  0.763634, Average Loss  0.769690, Time  0.249619
2021-09-23 01:49:58.291925 : Epoch 10, Batch    134, Loss  0.770836, Average Loss  0.769689, Time  0.512396
2021-09-23 01:49:58.328753 : Epoch  9, Batch    775, Loss  0.783791, Average Loss  0.769063, Time  0.497922
2021-09-23 01:50:00.414642 : Epoch 10, Batch    135, Loss  0.769160, Average Loss  0.769665, Time  0.494894
2021-09-23 01:50:00.443862 : Epoch  9, Batch    776, Loss  0.758628, Average Loss  0.768991, Time  0.468348
2021-09-23 01:50:02.506255 : Epoch 10, Batch    136, Loss  0.761736, Average Loss  0.769653, Time  0.480339
2021-09-23 01:50:02.555270 : Epoch  9, Batch    777, Loss  0.774783, Average Loss  0.768966, Time  0.454815
2021-09-23 01:50:04.575346 : Epoch 10, Batch    137, Loss  0.767645, Average Loss  0.769634, Time  0.453308
2021-09-23 01:50:04.639317 : Epoch  9, Batch    778, Loss  0.759528, Average Loss  0.768883, Time  0.424686
2021-09-23 01:50:06.632264 : Epoch 10, Batch    138, Loss  0.767110, Average Loss  0.769629, Time  0.441263
2021-09-23 01:50:06.704862 : Epoch  9, Batch    779, Loss  0.767448, Average Loss  0.768915, Time  0.411352
2021-09-23 01:50:08.744447 : Epoch 10, Batch    139, Loss  0.766519, Average Loss  0.769604, Time  0.466526
2021-09-23 01:50:08.798742 : Epoch  9, Batch    780, Loss  0.773370, Average Loss  0.768890, Time  0.432059
2021-09-23 01:50:10.868908 : Epoch 10, Batch    140, Loss  0.769071, Average Loss  0.769656, Time  0.476295
2021-09-23 01:50:10.912339 : Epoch  9, Batch    781, Loss  0.763833, Average Loss  0.768891, Time  0.448117
2021-09-23 01:50:12.994348 : Epoch 10, Batch    141, Loss  0.767053, Average Loss  0.769613, Time  0.496625
2021-09-23 01:50:13.024880 : Epoch  9, Batch    782, Loss  0.776183, Average Loss  0.768949, Time  0.455572
2021-09-23 01:50:15.090604 : Epoch 10, Batch    142, Loss  0.767044, Average Loss  0.769611, Time  0.480620
2021-09-23 01:50:15.131976 : Epoch  9, Batch    783, Loss  0.760534, Average Loss  0.768865, Time  0.441266
2021-09-23 01:50:17.172286 : Epoch 10, Batch    143, Loss  0.766325, Average Loss  0.769635, Time  0.466464
2021-09-23 01:50:17.229044 : Epoch  9, Batch    784, Loss  0.784521, Average Loss  0.768917, Time  0.445527
2021-09-23 01:50:19.314322 : Epoch 10, Batch    144, Loss  0.765893, Average Loss  0.769597, Time  0.493418
2021-09-23 01:50:19.354221 : Epoch  9, Batch    785, Loss  0.774832, Average Loss  0.768975, Time  0.465246
2021-09-23 01:50:21.434837 : Epoch 10, Batch    145, Loss  0.785573, Average Loss  0.769665, Time  0.486513
2021-09-23 01:50:21.471496 : Epoch  9, Batch    786, Loss  0.775085, Average Loss  0.768982, Time  0.455955
2021-09-23 01:50:23.564265 : Epoch 10, Batch    146, Loss  0.773812, Average Loss  0.769673, Time  0.496210
2021-09-23 01:50:23.599564 : Epoch  9, Batch    787, Loss  0.769125, Average Loss  0.768928, Time  0.462307
2021-09-23 01:50:23.635858 : Saving Model after 9-th Epoch.
2021-09-23 01:50:24.485451 : Epoch Finished.
2021-09-23 01:50:25.473095 : Epoch 10, Batch    147, Loss  0.771095, Average Loss  0.769641, Time  0.253155
2021-09-23 01:50:26.301391 : Batch Shuffled
2021-09-23 01:50:26.473637 : Epoch 10, Batch      1, Loss  0.804116, Average Loss  0.769120, Time  0.118127
2021-09-23 01:50:27.348903 : Epoch 10, Batch    148, Loss  0.771944, Average Loss  0.769642, Time  0.249678
2021-09-23 01:50:28.362857 : Epoch 10, Batch      2, Loss  0.769323, Average Loss  0.769096, Time  0.253653
2021-09-23 01:50:29.221209 : Epoch 10, Batch    149, Loss  0.778272, Average Loss  0.769635, Time  0.248091
2021-09-23 01:50:30.267552 : Epoch 10, Batch      3, Loss  0.778482, Average Loss  0.769128, Time  0.251484
2021-09-23 01:50:31.080789 : Epoch 10, Batch    150, Loss  0.766046, Average Loss  0.769586, Time  0.247562
2021-09-23 01:50:32.173426 : Epoch 10, Batch      4, Loss  0.765755, Average Loss  0.769095, Time  0.253261
2021-09-23 01:50:32.969240 : Epoch 10, Batch    151, Loss  0.771076, Average Loss  0.769602, Time  0.250907
2021-09-23 01:50:34.083851 : Epoch 10, Batch      5, Loss  0.798089, Average Loss  0.769222, Time  0.251477
2021-09-23 01:50:34.853415 : Epoch 10, Batch    152, Loss  0.761066, Average Loss  0.769565, Time  0.251643
2021-09-23 01:50:35.984414 : Epoch 10, Batch      6, Loss  0.767488, Average Loss  0.769195, Time  0.252591
2021-09-23 01:50:36.740261 : Epoch 10, Batch    153, Loss  0.775918, Average Loss  0.769612, Time  0.252049
2021-09-23 01:50:37.884159 : Epoch 10, Batch      7, Loss  0.773898, Average Loss  0.769248, Time  0.253921
2021-09-23 01:50:38.605443 : Epoch 10, Batch    154, Loss  0.769780, Average Loss  0.769651, Time  0.249758
2021-09-23 01:50:39.801666 : Epoch 10, Batch      8, Loss  0.773309, Average Loss  0.769234, Time  0.251754
2021-09-23 01:50:40.475820 : Epoch 10, Batch    155, Loss  0.771354, Average Loss  0.769686, Time  0.247800
2021-09-23 01:50:41.714064 : Epoch 10, Batch      9, Loss  0.774829, Average Loss  0.769242, Time  0.252740
2021-09-23 01:50:42.372829 : Epoch 10, Batch    156, Loss  0.779940, Average Loss  0.769790, Time  0.249419
2021-09-23 01:50:43.633247 : Epoch 10, Batch     10, Loss  0.766736, Average Loss  0.769246, Time  0.253941
2021-09-23 01:50:44.271301 : Epoch 10, Batch    157, Loss  0.779485, Average Loss  0.769912, Time  0.252687
2021-09-23 01:50:45.526190 : Epoch 10, Batch     11, Loss  0.770223, Average Loss  0.769269, Time  0.251227
2021-09-23 01:50:46.161466 : Epoch 10, Batch    158, Loss  0.772544, Average Loss  0.769977, Time  0.249668
2021-09-23 01:50:47.425803 : Epoch 10, Batch     12, Loss  0.775712, Average Loss  0.769266, Time  0.251934
2021-09-23 01:50:48.038483 : Epoch 10, Batch    159, Loss  0.768161, Average Loss  0.769995, Time  0.248602
2021-09-23 01:50:49.328332 : Epoch 10, Batch     13, Loss  0.774552, Average Loss  0.769260, Time  0.253528
2021-09-23 01:50:49.941487 : Epoch 10, Batch    160, Loss  0.775326, Average Loss  0.770034, Time  0.250263
2021-09-23 01:50:51.240865 : Epoch 10, Batch     14, Loss  0.778039, Average Loss  0.769343, Time  0.256290
2021-09-23 01:50:51.841239 : Epoch 10, Batch    161, Loss  0.766258, Average Loss  0.770036, Time  0.249245
2021-09-23 01:50:53.151004 : Epoch 10, Batch     15, Loss  0.779304, Average Loss  0.769419, Time  0.254689
2021-09-23 01:50:53.719098 : Epoch 10, Batch    162, Loss  0.774103, Average Loss  0.770097, Time  0.253817
2021-09-23 01:50:55.041829 : Epoch 10, Batch     16, Loss  0.772655, Average Loss  0.769452, Time  0.251138
2021-09-23 01:50:55.594031 : Epoch 10, Batch    163, Loss  0.766247, Average Loss  0.770048, Time  0.249061
2021-09-23 01:50:56.945240 : Epoch 10, Batch     17, Loss  0.767334, Average Loss  0.769485, Time  0.252021
2021-09-23 01:50:57.479127 : Epoch 10, Batch    164, Loss  0.760935, Average Loss  0.770006, Time  0.249763
2021-09-23 01:50:59.352405 : Epoch 10, Batch    165, Loss  0.768008, Average Loss  0.769875, Time  0.250504
2021-09-23 01:51:01.245855 : Epoch 10, Batch    166, Loss  0.768723, Average Loss  0.769866, Time  0.254557
2021-09-23 01:51:03.157805 : Epoch 10, Batch    167, Loss  0.771410, Average Loss  0.769868, Time  0.253828
2021-09-23 01:51:05.024599 : Epoch 10, Batch    168, Loss  0.769319, Average Loss  0.769886, Time  0.248810
2021-09-23 01:51:06.895581 : Epoch 10, Batch    169, Loss  0.772484, Average Loss  0.769915, Time  0.251618
2021-09-23 01:51:08.846055 : Epoch 10, Batch    170, Loss  0.768933, Average Loss  0.770005, Time  0.323745
2021-09-23 01:51:10.723476 : Epoch 10, Batch    171, Loss  0.762561, Average Loss  0.769914, Time  0.252861
2021-09-23 01:51:12.612233 : Epoch 10, Batch    172, Loss  0.754135, Average Loss  0.769896, Time  0.249931
2021-09-23 01:51:14.507239 : Epoch 10, Batch    173, Loss  0.779311, Average Loss  0.769997, Time  0.257308
2021-09-23 01:51:16.384172 : Epoch 10, Batch    174, Loss  0.751831, Average Loss  0.769900, Time  0.248839
2021-09-23 01:51:18.284009 : Epoch 10, Batch    175, Loss  0.765344, Average Loss  0.769900, Time  0.264375
2021-09-23 01:51:20.172030 : Epoch 10, Batch    176, Loss  0.777829, Average Loss  0.769850, Time  0.249975
2021-09-23 01:51:22.086122 : Epoch 10, Batch    177, Loss  0.772317, Average Loss  0.769917, Time  0.250804
2021-09-23 01:51:24.043790 : Epoch 10, Batch    178, Loss  0.768923, Average Loss  0.769953, Time  0.327168
2021-09-23 01:51:25.929326 : Epoch 10, Batch    179, Loss  0.779024, Average Loss  0.769991, Time  0.250664
2021-09-23 01:51:27.807607 : Epoch 10, Batch    180, Loss  0.767292, Average Loss  0.769943, Time  0.250765
2021-09-23 01:51:29.698981 : Epoch 10, Batch    181, Loss  0.769187, Average Loss  0.769982, Time  0.258189
2021-09-23 01:51:31.612664 : Epoch 10, Batch    182, Loss  0.774908, Average Loss  0.769941, Time  0.258532
2021-09-23 01:51:33.478059 : Epoch 10, Batch    183, Loss  0.774252, Average Loss  0.769929, Time  0.248549
2021-09-23 01:51:35.358663 : Epoch 10, Batch    184, Loss  0.761519, Average Loss  0.769890, Time  0.251113
2021-09-23 01:51:37.327382 : Epoch 10, Batch    185, Loss  0.775589, Average Loss  0.769913, Time  0.332123
2021-09-23 01:51:39.213747 : Epoch 10, Batch    186, Loss  0.778537, Average Loss  0.769915, Time  0.248850
2021-09-23 01:51:41.099848 : Epoch 10, Batch    187, Loss  0.770787, Average Loss  0.769895, Time  0.252104
2021-09-23 01:51:44.802962 : Epoch 10, Batch    188, Loss  0.761358, Average Loss  0.769836, Time  0.251353
2021-09-23 01:51:46.708050 : Epoch 10, Batch    189, Loss  0.782010, Average Loss  0.769891, Time  0.254689
2021-09-23 01:51:48.602856 : Epoch 10, Batch    190, Loss  0.768862, Average Loss  0.769860, Time  0.249210
2021-09-23 01:51:50.474438 : Epoch 10, Batch    191, Loss  0.779553, Average Loss  0.769915, Time  0.249535
2021-09-23 01:51:52.437289 : Epoch 10, Batch    192, Loss  0.767738, Average Loss  0.769882, Time  0.327374
2021-09-23 01:51:54.331175 : Epoch 10, Batch    193, Loss  0.770920, Average Loss  0.769934, Time  0.254876
2021-09-23 01:51:56.203900 : Epoch 10, Batch    194, Loss  0.773345, Average Loss  0.769916, Time  0.253943
2021-09-23 01:51:58.082090 : Epoch 10, Batch    195, Loss  0.767168, Average Loss  0.769840, Time  0.252251
2021-09-23 01:51:59.948378 : Epoch 10, Batch    196, Loss  0.762358, Average Loss  0.769783, Time  0.250703
2021-09-23 01:52:01.823547 : Epoch 10, Batch    197, Loss  0.769935, Average Loss  0.769801, Time  0.248607
2021-09-23 01:52:03.693170 : Epoch 10, Batch    198, Loss  0.771005, Average Loss  0.769794, Time  0.250455
2021-09-23 01:52:05.635434 : Epoch 10, Batch    199, Loss  0.780984, Average Loss  0.769917, Time  0.325365
2021-09-23 01:52:07.529904 : Epoch 10, Batch    200, Loss  0.784415, Average Loss  0.769948, Time  0.256701
2021-09-23 01:52:07.849037 : CheckPoint: Validation Loss  0.00032467, Best Loss  0.00030514
2021-09-23 01:52:09.396114 : Epoch 10, Batch    201, Loss  0.761971, Average Loss  0.769923, Time  0.249263
2021-09-23 01:52:09.748962 : Epoch 10, Batch     18, Loss  0.763366, Average Loss  0.769481, Time  0.259722
2021-09-23 01:52:11.295912 : Epoch 10, Batch    202, Loss  0.767166, Average Loss  0.769946, Time  0.248901
2021-09-23 01:52:11.650964 : Epoch 10, Batch     19, Loss  0.767071, Average Loss  0.769457, Time  0.252941
2021-09-23 01:52:13.197726 : Epoch 10, Batch    203, Loss  0.770268, Average Loss  0.769908, Time  0.265495
2021-09-23 01:52:13.524275 : Epoch 10, Batch     20, Loss  0.774313, Average Loss  0.769521, Time  0.253161
2021-09-23 01:52:15.087595 : Epoch 10, Batch    204, Loss  0.775048, Average Loss  0.769984, Time  0.250111
2021-09-23 01:52:15.425863 : Epoch 10, Batch     21, Loss  0.764335, Average Loss  0.769498, Time  0.255198
2021-09-23 01:52:16.999944 : Epoch 10, Batch    205, Loss  0.759846, Average Loss  0.769921, Time  0.261023
2021-09-23 01:52:17.332221 : Epoch 10, Batch     22, Loss  0.782512, Average Loss  0.769517, Time  0.255730
2021-09-23 01:52:18.878910 : Epoch 10, Batch    206, Loss  0.781984, Average Loss  0.769953, Time  0.249514
2021-09-23 01:52:19.262954 : Epoch 10, Batch     23, Loss  0.774463, Average Loss  0.769586, Time  0.260892
2021-09-23 01:52:20.742298 : Epoch 10, Batch    207, Loss  0.766761, Average Loss  0.769938, Time  0.258418
2021-09-23 01:52:21.159728 : Epoch 10, Batch     24, Loss  0.759793, Average Loss  0.769567, Time  0.252354
2021-09-23 01:52:22.610079 : Epoch 10, Batch    208, Loss  0.770346, Average Loss  0.769887, Time  0.249481
2021-09-23 01:52:23.065895 : Epoch 10, Batch     25, Loss  0.773970, Average Loss  0.769558, Time  0.251451
2021-09-23 01:52:24.478890 : Epoch 10, Batch    209, Loss  0.767150, Average Loss  0.769867, Time  0.249846
2021-09-23 01:52:24.633738 : CheckPoint: Validation Loss  0.00015258, Best Loss  0.00014643
2021-09-23 01:52:24.993141 : Epoch 10, Batch     26, Loss  0.770779, Average Loss  0.769461, Time  0.263334
2021-09-23 01:52:26.353452 : Epoch 10, Batch    210, Loss  0.767301, Average Loss  0.769781, Time  0.253337
2021-09-23 01:52:26.889478 : Epoch 10, Batch     27, Loss  0.766645, Average Loss  0.769404, Time  0.251874
2021-09-23 01:52:28.246564 : Epoch 10, Batch    211, Loss  0.758947, Average Loss  0.769809, Time  0.251217
2021-09-23 01:52:28.795158 : Epoch 10, Batch     28, Loss  0.762177, Average Loss  0.769359, Time  0.250921
2021-09-23 01:52:29.584939 : Epoch  5, Batch     89, Loss  0.865744, Average Loss  0.870715, Time  0.414706
2021-09-23 01:52:30.125964 : Epoch 10, Batch    212, Loss  0.778408, Average Loss  0.769835, Time  0.252688
2021-09-23 01:52:30.713625 : Epoch 10, Batch     29, Loss  0.764823, Average Loss  0.769355, Time  0.254211
2021-09-23 01:52:31.987112 : Epoch 10, Batch    213, Loss  0.755963, Average Loss  0.769740, Time  0.251332
2021-09-23 01:52:32.623283 : Epoch 10, Batch     30, Loss  0.773738, Average Loss  0.769356, Time  0.252979
2021-09-23 01:52:33.865609 : Epoch 10, Batch    214, Loss  0.767543, Average Loss  0.769712, Time  0.252419
2021-09-23 01:52:34.517996 : Epoch 10, Batch     31, Loss  0.777565, Average Loss  0.769450, Time  0.251487
2021-09-23 01:52:34.678036 : Epoch  5, Batch     90, Loss  0.865986, Average Loss  0.870691, Time  0.413555
2021-09-23 01:52:35.731786 : Epoch 10, Batch    215, Loss  0.766732, Average Loss  0.769764, Time  0.248658
2021-09-23 01:52:36.404073 : Epoch 10, Batch     32, Loss  0.771992, Average Loss  0.769412, Time  0.251148
2021-09-23 01:52:37.610156 : Epoch 10, Batch    216, Loss  0.770383, Average Loss  0.769760, Time  0.250096
2021-09-23 01:52:38.313950 : Epoch 10, Batch     33, Loss  0.775946, Average Loss  0.769494, Time  0.253065
2021-09-23 01:52:39.534723 : Epoch 10, Batch    217, Loss  0.766766, Average Loss  0.769795, Time  0.258057
2021-09-23 01:52:39.624489 : Epoch  5, Batch     91, Loss  0.875907, Average Loss  0.870711, Time  0.413697
2021-09-23 01:52:40.229291 : Epoch 10, Batch     34, Loss  0.768099, Average Loss  0.769487, Time  0.260121
2021-09-23 01:52:42.141810 : Epoch 10, Batch     35, Loss  0.772370, Average Loss  0.769505, Time  0.252020
2021-09-23 01:52:44.045272 : Epoch 10, Batch     36, Loss  0.774417, Average Loss  0.769563, Time  0.255726
2021-09-23 01:52:44.615081 : Epoch  5, Batch     92, Loss  0.866272, Average Loss  0.870723, Time  0.414106
2021-09-23 01:52:45.944784 : Epoch 10, Batch     37, Loss  0.766875, Average Loss  0.769529, Time  0.252592
2021-09-23 01:52:47.863115 : Epoch 10, Batch     38, Loss  0.762717, Average Loss  0.769471, Time  0.253693
2021-09-23 01:52:49.572994 : Epoch  5, Batch     93, Loss  0.874955, Average Loss  0.870792, Time  0.414253
2021-09-23 01:52:49.845538 : Epoch 10, Batch     39, Loss  0.766817, Average Loss  0.769446, Time  0.326246
2021-09-23 01:52:51.752808 : Epoch 10, Batch     40, Loss  0.765479, Average Loss  0.769435, Time  0.252116
2021-09-23 01:52:53.652366 : Epoch 10, Batch     41, Loss  0.774060, Average Loss  0.769492, Time  0.253034
2021-09-23 01:52:54.528044 : Epoch  5, Batch     94, Loss  0.868109, Average Loss  0.870836, Time  0.414173
2021-09-23 01:52:55.558939 : Epoch 10, Batch     42, Loss  0.777909, Average Loss  0.769526, Time  0.251835
2021-09-23 01:52:57.452445 : Epoch 10, Batch     43, Loss  0.762776, Average Loss  0.769462, Time  0.257484
2021-09-23 01:52:59.365766 : Epoch 10, Batch     44, Loss  0.772340, Average Loss  0.769493, Time  0.256778
2021-09-23 01:52:59.478924 : Epoch  5, Batch     95, Loss  0.877587, Average Loss  0.870923, Time  0.414163
2021-09-23 01:53:01.328908 : Epoch 10, Batch     45, Loss  0.769855, Average Loss  0.769477, Time  0.326447
2021-09-23 01:53:03.233435 : Epoch 10, Batch     46, Loss  0.767061, Average Loss  0.769480, Time  0.257172
2021-09-23 01:53:04.508812 : Epoch  5, Batch     96, Loss  0.865549, Average Loss  0.870873, Time  0.428591
2021-09-23 01:53:05.151280 : Epoch 10, Batch     47, Loss  0.770593, Average Loss  0.769448, Time  0.256066
2021-09-23 01:53:07.057963 : Epoch 10, Batch     48, Loss  0.769854, Average Loss  0.769542, Time  0.251848
2021-09-23 01:53:08.983933 : Epoch 10, Batch     49, Loss  0.764901, Average Loss  0.769419, Time  0.257912
2021-09-23 01:53:09.499747 : Epoch  5, Batch     97, Loss  0.877522, Average Loss  0.870891, Time  0.413000
2021-09-23 01:53:10.925514 : Epoch 10, Batch     50, Loss  0.757927, Average Loss  0.769386, Time  0.256238
2021-09-23 01:53:12.910228 : Epoch 10, Batch     51, Loss  0.781000, Average Loss  0.769490, Time  0.328164
2021-09-23 01:53:14.438966 : Epoch  5, Batch     98, Loss  0.885933, Average Loss  0.871021, Time  0.414339
2021-09-23 01:53:14.818979 : Epoch 10, Batch     52, Loss  0.776821, Average Loss  0.769534, Time  0.252357
2021-09-23 01:53:16.700304 : Epoch 10, Batch     53, Loss  0.756491, Average Loss  0.769480, Time  0.251152
2021-09-23 01:53:18.613712 : Epoch 10, Batch     54, Loss  0.773085, Average Loss  0.769508, Time  0.253565
2021-09-23 01:53:19.377513 : Epoch  5, Batch     99, Loss  0.857188, Average Loss  0.870915, Time  0.413220
2021-09-23 01:53:20.531261 : Epoch 10, Batch     55, Loss  0.764280, Average Loss  0.769540, Time  0.256032
2021-09-23 01:53:22.434321 : Epoch 10, Batch     56, Loss  0.767483, Average Loss  0.769491, Time  0.251042
2021-09-23 01:53:24.321958 : Epoch  5, Batch    100, Loss  0.865877, Average Loss  0.870882, Time  0.413310
2021-09-23 01:53:24.454086 : Epoch 10, Batch     57, Loss  0.753930, Average Loss  0.769468, Time  0.326698
2021-09-23 01:53:26.342916 : Epoch 10, Batch     58, Loss  0.770039, Average Loss  0.769454, Time  0.255002
2021-09-23 01:53:28.266385 : Epoch 10, Batch     59, Loss  0.771217, Average Loss  0.769511, Time  0.251837
2021-09-23 01:53:29.261776 : Epoch  5, Batch    101, Loss  0.875544, Average Loss  0.870812, Time  0.413142
2021-09-23 01:53:30.167931 : Epoch 10, Batch     60, Loss  0.761719, Average Loss  0.769460, Time  0.251534
2021-09-23 01:53:32.071622 : Epoch 10, Batch     61, Loss  0.760564, Average Loss  0.769381, Time  0.257482
2021-09-23 01:53:33.966565 : Epoch 10, Batch     62, Loss  0.774695, Average Loss  0.769420, Time  0.253931
2021-09-23 01:53:34.202822 : Epoch  5, Batch    102, Loss  0.858780, Average Loss  0.870777, Time  0.413159
2021-09-23 01:53:35.960119 : Epoch 10, Batch     63, Loss  0.762287, Average Loss  0.769487, Time  0.340355
2021-09-23 01:53:37.875355 : Epoch 10, Batch     64, Loss  0.777413, Average Loss  0.769521, Time  0.253559
2021-09-23 01:53:39.136860 : Epoch  5, Batch    103, Loss  0.879355, Average Loss  0.870804, Time  0.413102
2021-09-23 01:53:39.799988 : Epoch 10, Batch     65, Loss  0.772139, Average Loss  0.769559, Time  0.252980
2021-09-23 01:53:41.710687 : Epoch 10, Batch     66, Loss  0.762030, Average Loss  0.769508, Time  0.254486
2021-09-23 01:53:43.591974 : Epoch 10, Batch     67, Loss  0.765964, Average Loss  0.769465, Time  0.253358
2021-09-23 01:53:44.090050 : Epoch  5, Batch    104, Loss  0.871093, Average Loss  0.870775, Time  0.413563
2021-09-23 01:53:45.489786 : Epoch 10, Batch     68, Loss  0.770451, Average Loss  0.769424, Time  0.253265
2021-09-23 01:53:47.458479 : Epoch 10, Batch     69, Loss  0.766327, Average Loss  0.769386, Time  0.330564
2021-09-23 01:53:49.029733 : Epoch  5, Batch    105, Loss  0.870975, Average Loss  0.870814, Time  0.414331
2021-09-23 01:53:49.344361 : Epoch 10, Batch     70, Loss  0.767821, Average Loss  0.769403, Time  0.252494
2021-09-23 01:53:49.590146 : CheckPoint: Validation Loss  0.00032543, Best Loss  0.00030606
2021-09-23 01:53:51.244644 : Epoch 10, Batch     71, Loss  0.781728, Average Loss  0.769479, Time  0.255837
2021-09-23 01:53:51.470512 : Epoch 10, Batch    218, Loss  0.765895, Average Loss  0.769835, Time  0.255404
2021-09-23 01:53:53.214721 : Epoch 10, Batch     72, Loss  0.761671, Average Loss  0.769485, Time  0.330167
2021-09-23 01:53:53.375240 : Epoch 10, Batch    219, Loss  0.774206, Average Loss  0.769839, Time  0.296902
2021-09-23 01:53:54.031805 : Epoch  5, Batch    106, Loss  0.851372, Average Loss  0.870791, Time  0.456689
2021-09-23 01:53:55.306005 : Epoch 10, Batch     73, Loss  0.770727, Average Loss  0.769524, Time  0.437453
2021-09-23 01:53:55.402776 : Epoch 10, Batch    220, Loss  0.777371, Average Loss  0.769885, Time  0.421442
2021-09-23 01:53:57.448812 : Epoch 10, Batch     74, Loss  0.762639, Average Loss  0.769542, Time  0.501807
2021-09-23 01:53:57.484282 : Epoch 10, Batch    221, Loss  0.771571, Average Loss  0.769943, Time  0.461888
2021-09-23 01:53:58.985985 : Epoch  5, Batch    107, Loss  0.874645, Average Loss  0.870814, Time  0.422213
2021-09-23 01:53:59.630944 : Epoch 10, Batch    222, Loss  0.760896, Average Loss  0.769860, Time  0.518682
2021-09-23 01:53:59.665517 : Epoch 10, Batch     75, Loss  0.774649, Average Loss  0.769553, Time  0.519260
2021-09-23 01:54:01.808873 : Epoch 10, Batch    223, Loss  0.758485, Average Loss  0.769778, Time  0.513426
2021-09-23 01:54:01.846883 : Epoch 10, Batch     76, Loss  0.775364, Average Loss  0.769600, Time  0.499557
2021-09-23 01:54:03.940859 : Epoch  5, Batch    108, Loss  0.876840, Average Loss  0.870854, Time  0.413847
2021-09-23 01:54:03.955002 : Epoch 10, Batch    224, Loss  0.764438, Average Loss  0.769726, Time  0.513195
2021-09-23 01:54:03.955371 : Epoch 10, Batch     77, Loss  0.771913, Average Loss  0.769622, Time  0.474351
2021-09-23 01:54:06.148619 : Epoch 10, Batch     78, Loss  0.771063, Average Loss  0.769615, Time  0.518543
2021-09-23 01:54:06.148784 : Epoch 10, Batch    225, Loss  0.785063, Average Loss  0.769786, Time  0.518860
2021-09-23 01:54:08.308433 : Epoch 10, Batch    226, Loss  0.772426, Average Loss  0.769795, Time  0.483985
2021-09-23 01:54:08.342005 : Epoch 10, Batch     79, Loss  0.766572, Average Loss  0.769614, Time  0.518162
2021-09-23 01:54:08.893759 : Epoch  5, Batch    109, Loss  0.875047, Average Loss  0.870859, Time  0.413400
2021-09-23 01:54:10.428771 : Epoch 10, Batch    227, Loss  0.771045, Average Loss  0.769784, Time  0.491607
2021-09-23 01:54:10.465142 : Epoch 10, Batch     80, Loss  0.769572, Average Loss  0.769609, Time  0.460306
2021-09-23 01:54:12.586617 : Epoch 10, Batch    228, Loss  0.767429, Average Loss  0.769832, Time  0.512289
2021-09-23 01:54:12.616405 : Epoch 10, Batch     81, Loss  0.773159, Average Loss  0.769619, Time  0.487604
2021-09-23 01:54:13.842783 : Epoch  5, Batch    110, Loss  0.870000, Average Loss  0.870879, Time  0.413185
2021-09-23 01:54:14.664671 : Epoch 10, Batch    229, Loss  0.771011, Average Loss  0.769786, Time  0.466369
2021-09-23 01:54:14.716646 : Epoch 10, Batch     82, Loss  0.776145, Average Loss  0.769684, Time  0.435945
2021-09-23 01:54:16.767012 : Epoch 10, Batch    230, Loss  0.768602, Average Loss  0.769755, Time  0.468210
2021-09-23 01:54:16.824248 : Epoch 10, Batch     83, Loss  0.765315, Average Loss  0.769640, Time  0.441603
2021-09-23 01:54:18.805732 : Epoch  5, Batch    111, Loss  0.866176, Average Loss  0.870818, Time  0.413578
2021-09-23 01:54:18.878328 : Epoch 10, Batch    231, Loss  0.766139, Average Loss  0.769708, Time  0.475515
2021-09-23 01:54:18.928184 : Epoch 10, Batch     84, Loss  0.776405, Average Loss  0.769673, Time  0.446291
2021-09-23 01:54:20.986252 : Epoch 10, Batch    232, Loss  0.772755, Average Loss  0.769740, Time  0.479996
2021-09-23 01:54:21.032055 : Epoch 10, Batch     85, Loss  0.775368, Average Loss  0.769667, Time  0.448906
2021-09-23 01:54:23.110759 : Epoch 10, Batch    233, Loss  0.773049, Average Loss  0.769725, Time  0.495536
2021-09-23 01:54:23.148593 : Epoch 10, Batch     86, Loss  0.767167, Average Loss  0.769688, Time  0.455450
2021-09-23 01:54:23.754741 : Epoch  5, Batch    112, Loss  0.871570, Average Loss  0.870811, Time  0.413561
2021-09-23 01:54:25.305599 : Epoch 10, Batch     87, Loss  0.762589, Average Loss  0.769696, Time  0.509673
2021-09-23 01:54:25.339281 : Epoch 10, Batch    234, Loss  0.767459, Average Loss  0.769732, Time  0.518060
2021-09-23 01:54:27.227652 : Epoch 10, Batch    235, Loss  0.773166, Average Loss  0.769762, Time  0.251242
2021-09-23 01:54:28.695927 : Epoch  5, Batch    113, Loss  0.867658, Average Loss  0.870810, Time  0.412992
2021-09-23 01:54:29.209902 : Epoch 10, Batch     88, Loss  0.767642, Average Loss  0.769702, Time  0.453297
2021-09-23 01:54:29.272311 : Epoch 10, Batch    236, Loss  0.770002, Average Loss  0.769807, Time  0.417092
2021-09-23 01:54:31.355277 : Epoch 10, Batch     89, Loss  0.754274, Average Loss  0.769639, Time  0.510675
2021-09-23 01:54:31.410438 : Epoch 10, Batch    237, Loss  0.771638, Average Loss  0.769776, Time  0.476883
2021-09-23 01:54:33.536935 : Epoch 10, Batch    238, Loss  0.772797, Average Loss  0.769799, Time  0.506440
2021-09-23 01:54:33.563453 : Epoch 10, Batch     90, Loss  0.782418, Average Loss  0.769722, Time  0.487298
2021-09-23 01:54:33.652920 : Epoch  5, Batch    114, Loss  0.881215, Average Loss  0.870878, Time  0.413049
2021-09-23 01:54:35.649829 : Epoch 10, Batch    239, Loss  0.771147, Average Loss  0.769804, Time  0.492249
2021-09-23 01:54:35.681435 : Epoch 10, Batch     91, Loss  0.760150, Average Loss  0.769686, Time  0.463266
2021-09-23 01:54:37.748980 : Epoch 10, Batch    240, Loss  0.764283, Average Loss  0.769745, Time  0.489596
2021-09-23 01:54:37.785563 : Epoch 10, Batch     92, Loss  0.783413, Average Loss  0.769783, Time  0.459514
2021-09-23 01:54:38.604330 : Epoch  5, Batch    115, Loss  0.878172, Average Loss  0.870832, Time  0.413692
2021-09-23 01:54:39.895197 : Epoch 10, Batch    241, Loss  0.772209, Average Loss  0.769779, Time  0.518172
2021-09-23 01:54:39.924345 : Epoch 10, Batch     93, Loss  0.767706, Average Loss  0.769793, Time  0.461059
2021-09-23 01:54:42.002863 : Epoch 10, Batch    242, Loss  0.763537, Average Loss  0.769746, Time  0.499702
2021-09-23 01:54:42.038786 : Epoch 10, Batch     94, Loss  0.766501, Average Loss  0.769807, Time  0.475927
2021-09-23 01:54:43.599080 : Epoch  5, Batch    116, Loss  0.875869, Average Loss  0.870813, Time  0.449932
2021-09-23 01:54:44.177842 : Epoch 10, Batch    243, Loss  0.765108, Average Loss  0.769706, Time  0.515540
2021-09-23 01:54:44.220635 : Epoch 10, Batch     95, Loss  0.768861, Average Loss  0.769761, Time  0.500042
2021-09-23 01:54:46.276520 : Epoch 10, Batch    244, Loss  0.766113, Average Loss  0.769694, Time  0.483135
2021-09-23 01:54:46.316662 : Epoch 10, Batch     96, Loss  0.753097, Average Loss  0.769667, Time  0.454366
2021-09-23 01:54:48.418813 : Epoch 10, Batch    245, Loss  0.776177, Average Loss  0.769716, Time  0.495436
2021-09-23 01:54:48.455269 : Epoch 10, Batch     97, Loss  0.777522, Average Loss  0.769689, Time  0.467215
2021-09-23 01:54:48.561087 : Epoch  5, Batch    117, Loss  0.879489, Average Loss  0.870832, Time  0.414462
2021-09-23 01:54:50.525648 : Epoch 10, Batch    246, Loss  0.771364, Average Loss  0.769733, Time  0.474878
2021-09-23 01:54:50.569937 : Epoch 10, Batch     98, Loss  0.775979, Average Loss  0.769704, Time  0.445884
2021-09-23 01:54:52.655234 : Epoch 10, Batch    247, Loss  0.772266, Average Loss  0.769805, Time  0.492389
2021-09-23 01:54:52.697934 : Epoch 10, Batch     99, Loss  0.770555, Average Loss  0.769652, Time  0.456707
2021-09-23 01:54:53.499035 : Epoch  5, Batch    118, Loss  0.862663, Average Loss  0.870797, Time  0.413641
2021-09-23 01:54:54.785087 : Epoch 10, Batch    248, Loss  0.768309, Average Loss  0.769842, Time  0.493056
2021-09-23 01:54:54.819166 : Epoch 10, Batch    100, Loss  0.772038, Average Loss  0.769702, Time  0.452997
2021-09-23 01:54:56.964138 : Epoch 10, Batch    249, Loss  0.768180, Average Loss  0.769855, Time  0.514155
2021-09-23 01:54:57.002739 : Epoch 10, Batch    101, Loss  0.768683, Average Loss  0.769737, Time  0.504737
2021-09-23 01:54:58.451857 : Epoch  5, Batch    119, Loss  0.882545, Average Loss  0.870854, Time  0.414430
2021-09-23 01:54:59.070257 : Epoch 10, Batch    250, Loss  0.772327, Average Loss  0.769879, Time  0.489795
2021-09-23 01:54:59.108044 : Epoch 10, Batch    102, Loss  0.777111, Average Loss  0.769816, Time  0.452355
2021-09-23 01:55:01.194916 : Epoch 10, Batch    251, Loss  0.778602, Average Loss  0.769868, Time  0.495624
2021-09-23 01:55:01.230754 : Epoch 10, Batch    103, Loss  0.771465, Average Loss  0.769876, Time  0.464211
2021-09-23 01:55:03.363187 : Epoch 10, Batch    252, Loss  0.770780, Average Loss  0.769870, Time  0.508293
2021-09-23 01:55:03.395521 : Epoch 10, Batch    104, Loss  0.776964, Average Loss  0.769918, Time  0.494236
2021-09-23 01:55:03.440089 : Epoch  5, Batch    120, Loss  0.871200, Average Loss  0.870784, Time  0.413886
2021-09-23 01:55:05.526139 : Epoch 10, Batch    105, Loss  0.776834, Average Loss  0.769981, Time  0.501990
2021-09-23 01:55:05.561097 : Epoch 10, Batch    253, Loss  0.776943, Average Loss  0.769922, Time  0.517483
2021-09-23 01:55:07.663097 : Epoch 10, Batch    106, Loss  0.756637, Average Loss  0.769915, Time  0.518193
2021-09-23 01:55:07.699101 : Epoch 10, Batch    254, Loss  0.767400, Average Loss  0.769906, Time  0.514385
2021-09-23 01:55:08.399830 : Epoch  5, Batch    121, Loss  0.861331, Average Loss  0.870776, Time  0.413563
2021-09-23 01:55:09.836897 : Epoch 10, Batch    107, Loss  0.754498, Average Loss  0.769933, Time  0.519094
2021-09-23 01:55:09.874904 : Epoch 10, Batch    255, Loss  0.780570, Average Loss  0.770021, Time  0.515392
2021-09-23 01:55:11.976295 : Epoch 10, Batch    108, Loss  0.777364, Average Loss  0.769938, Time  0.505309
2021-09-23 01:55:12.031339 : Epoch 10, Batch    256, Loss  0.759180, Average Loss  0.770012, Time  0.480856
2021-09-23 01:55:13.416399 : Epoch  5, Batch    122, Loss  0.874393, Average Loss  0.870869, Time  0.413928
2021-09-23 01:55:14.160804 : Epoch 10, Batch    109, Loss  0.772318, Average Loss  0.769924, Time  0.517689
2021-09-23 01:55:14.188902 : Epoch 10, Batch    257, Loss  0.774308, Average Loss  0.770073, Time  0.515586
2021-09-23 01:55:16.290488 : Epoch 10, Batch    110, Loss  0.765009, Average Loss  0.769937, Time  0.500679
2021-09-23 01:55:16.333493 : Epoch 10, Batch    258, Loss  0.759870, Average Loss  0.770074, Time  0.482172
2021-09-23 01:55:18.364723 : Epoch  5, Batch    123, Loss  0.873872, Average Loss  0.870875, Time  0.413514
2021-09-23 01:55:18.431990 : Epoch 10, Batch    111, Loss  0.777939, Average Loss  0.769865, Time  0.503085
2021-09-23 01:55:18.459072 : Epoch 10, Batch    259, Loss  0.760424, Average Loss  0.770026, Time  0.474429
2021-09-23 01:55:20.572838 : Epoch 10, Batch    112, Loss  0.769177, Average Loss  0.769901, Time  0.511806
2021-09-23 01:55:20.608108 : Epoch 10, Batch    260, Loss  0.777802, Average Loss  0.770044, Time  0.491845
2021-09-23 01:55:22.729309 : Epoch 10, Batch    261, Loss  0.780337, Average Loss  0.770150, Time  0.502334
2021-09-23 01:55:22.769557 : Epoch 10, Batch    113, Loss  0.767028, Average Loss  0.769849, Time  0.483166
2021-09-23 01:55:23.317021 : Epoch  5, Batch    124, Loss  0.869662, Average Loss  0.870897, Time  0.413567
2021-09-23 01:55:24.855543 : Epoch 10, Batch    262, Loss  0.773711, Average Loss  0.770174, Time  0.495377
2021-09-23 01:55:24.891443 : Epoch 10, Batch    114, Loss  0.764749, Average Loss  0.769898, Time  0.466975
2021-09-23 01:55:26.971459 : Epoch 10, Batch    263, Loss  0.766547, Average Loss  0.770134, Time  0.493330
2021-09-23 01:55:27.009174 : Epoch 10, Batch    115, Loss  0.776981, Average Loss  0.769929, Time  0.461251
2021-09-23 01:55:28.292763 : Epoch  5, Batch    125, Loss  0.863816, Average Loss  0.870835, Time  0.428884
2021-09-23 01:55:29.150909 : Epoch 10, Batch    116, Loss  0.767882, Average Loss  0.769926, Time  0.511270
2021-09-23 01:55:29.182979 : Epoch 10, Batch    264, Loss  0.767424, Average Loss  0.770124, Time  0.491755
2021-09-23 01:55:31.336857 : Epoch 10, Batch    265, Loss  0.766444, Average Loss  0.770203, Time  0.515174
2021-09-23 01:55:31.372803 : Epoch 10, Batch    117, Loss  0.771360, Average Loss  0.769888, Time  0.521677
2021-09-23 01:55:33.228361 : Epoch 10, Batch    266, Loss  0.764930, Average Loss  0.770155, Time  0.253164
2021-09-23 01:55:33.242491 : Epoch  5, Batch    126, Loss  0.867133, Average Loss  0.870783, Time  0.413556
2021-09-23 01:55:35.100279 : Epoch 10, Batch    267, Loss  0.766608, Average Loss  0.770152, Time  0.253545
2021-09-23 01:55:36.965928 : Epoch 10, Batch    268, Loss  0.772602, Average Loss  0.770194, Time  0.249443
2021-09-23 01:55:38.198730 : Epoch  5, Batch    127, Loss  0.878414, Average Loss  0.870809, Time  0.413468
2021-09-23 01:55:38.845410 : Epoch 10, Batch    269, Loss  0.769952, Average Loss  0.770130, Time  0.249247
2021-09-23 01:55:40.741195 : Epoch 10, Batch    270, Loss  0.770667, Average Loss  0.770210, Time  0.248758
2021-09-23 01:55:42.632406 : Epoch 10, Batch    271, Loss  0.771163, Average Loss  0.770170, Time  0.250952
2021-09-23 01:55:43.150769 : Epoch  5, Batch    128, Loss  0.887005, Average Loss  0.870993, Time  0.413142
2021-09-23 01:55:44.513525 : Epoch 10, Batch    272, Loss  0.756754, Average Loss  0.770161, Time  0.253544
2021-09-23 01:55:46.400214 : Epoch 10, Batch    273, Loss  0.780355, Average Loss  0.770196, Time  0.252736
2021-09-23 01:55:48.092996 : Epoch  5, Batch    129, Loss  0.869345, Average Loss  0.871037, Time  0.413052
2021-09-23 01:55:48.362304 : Epoch 10, Batch    274, Loss  0.773676, Average Loss  0.770218, Time  0.324921
2021-09-23 01:55:50.230318 : Epoch 10, Batch    275, Loss  0.769746, Average Loss  0.770170, Time  0.248534
2021-09-23 01:55:52.115628 : Epoch 10, Batch    276, Loss  0.760262, Average Loss  0.770085, Time  0.253880
2021-09-23 01:55:53.044763 : Epoch  5, Batch    130, Loss  0.878820, Average Loss  0.871096, Time  0.414654
2021-09-23 01:55:53.992450 : Epoch 10, Batch    277, Loss  0.771217, Average Loss  0.770057, Time  0.247868
2021-09-23 01:55:55.866459 : Epoch 10, Batch    278, Loss  0.767742, Average Loss  0.769980, Time  0.253580
2021-09-23 01:55:57.754947 : Epoch 10, Batch    279, Loss  0.770439, Average Loss  0.769974, Time  0.252193
2021-09-23 01:55:57.996810 : Epoch  5, Batch    131, Loss  0.864004, Average Loss  0.870993, Time  0.414185
2021-09-23 01:55:59.628533 : Epoch 10, Batch    280, Loss  0.771127, Average Loss  0.769954, Time  0.248517
2021-09-23 01:56:01.534751 : Epoch 10, Batch    281, Loss  0.771611, Average Loss  0.769961, Time  0.250486
2021-09-23 01:56:02.938396 : Epoch  5, Batch    132, Loss  0.862441, Average Loss  0.870946, Time  0.413740
2021-09-23 01:56:03.485439 : Epoch 10, Batch    282, Loss  0.783468, Average Loss  0.770089, Time  0.326329
2021-09-23 01:56:05.374093 : Epoch 10, Batch    283, Loss  0.770936, Average Loss  0.770146, Time  0.250508
2021-09-23 01:56:07.249494 : Epoch 10, Batch    284, Loss  0.770788, Average Loss  0.770157, Time  0.249829
2021-09-23 01:56:07.882928 : Epoch  5, Batch    133, Loss  0.870565, Average Loss  0.870962, Time  0.413239
2021-09-23 01:56:09.130965 : Epoch 10, Batch    285, Loss  0.758727, Average Loss  0.770144, Time  0.252441
2021-09-23 01:56:11.032446 : Epoch 10, Batch    286, Loss  0.773552, Average Loss  0.770139, Time  0.249449
2021-09-23 01:56:12.829034 : Epoch  5, Batch    134, Loss  0.860120, Average Loss  0.870824, Time  0.413634
2021-09-23 01:56:12.916299 : Epoch 10, Batch    287, Loss  0.769380, Average Loss  0.770148, Time  0.250885
2021-09-23 01:56:16.602902 : Epoch 10, Batch    288, Loss  0.782257, Average Loss  0.770196, Time  0.273243
2021-09-23 01:56:17.810811 : Epoch  5, Batch    135, Loss  0.883404, Average Loss  0.870942, Time  0.456142
2021-09-23 01:56:18.579873 : Epoch 10, Batch    289, Loss  0.766283, Average Loss  0.770145, Time  0.328972
2021-09-23 01:56:20.481279 : Epoch 10, Batch    290, Loss  0.763366, Average Loss  0.770158, Time  0.252883
2021-09-23 01:56:22.395309 : Epoch 10, Batch    291, Loss  0.770025, Average Loss  0.770085, Time  0.250749
2021-09-23 01:56:22.753764 : Epoch  5, Batch    136, Loss  0.870705, Average Loss  0.871061, Time  0.413406
2021-09-23 01:56:24.288025 : Epoch 10, Batch    292, Loss  0.762779, Average Loss  0.770048, Time  0.249675
2021-09-23 01:56:26.166632 : Epoch 10, Batch    293, Loss  0.763525, Average Loss  0.769970, Time  0.248602
2021-09-23 01:56:27.695762 : Epoch  5, Batch    137, Loss  0.875511, Average Loss  0.871151, Time  0.413498
2021-09-23 01:56:28.040380 : Epoch 10, Batch    294, Loss  0.766484, Average Loss  0.769924, Time  0.251146
2021-09-23 01:56:29.945934 : Epoch 10, Batch    295, Loss  0.750895, Average Loss  0.769782, Time  0.268074
2021-09-23 01:56:31.912837 : Epoch 10, Batch    296, Loss  0.767031, Average Loss  0.769737, Time  0.325361
2021-09-23 01:56:32.648944 : Epoch  5, Batch    138, Loss  0.872475, Average Loss  0.871176, Time  0.413501
2021-09-23 01:56:33.794095 : Epoch 10, Batch    297, Loss  0.768877, Average Loss  0.769721, Time  0.250225
2021-09-23 01:56:35.666843 : Epoch 10, Batch    298, Loss  0.757166, Average Loss  0.769685, Time  0.249571
2021-09-23 01:56:37.547926 : Epoch 10, Batch    299, Loss  0.762969, Average Loss  0.769640, Time  0.247775
2021-09-23 01:56:37.628011 : Epoch  5, Batch    139, Loss  0.878445, Average Loss  0.871262, Time  0.413817
2021-09-23 01:56:39.429852 : Epoch 10, Batch    300, Loss  0.777800, Average Loss  0.769694, Time  0.249664
2021-09-23 01:56:41.338536 : Epoch 10, Batch    301, Loss  0.765805, Average Loss  0.769682, Time  0.248710
2021-09-23 01:56:42.379196 : CheckPoint: Validation Loss  0.00031706, Best Loss  0.00030514
2021-09-23 01:56:42.588235 : Epoch  5, Batch    140, Loss  0.866507, Average Loss  0.871205, Time  0.413705
2021-09-23 01:56:43.215310 : Epoch 10, Batch    302, Loss  0.770117, Average Loss  0.769683, Time  0.248375
2021-09-23 01:56:44.273959 : Epoch 10, Batch    118, Loss  0.768232, Average Loss  0.769832, Time  0.252543
2021-09-23 01:56:45.090296 : Epoch 10, Batch    303, Loss  0.769166, Average Loss  0.769737, Time  0.251014
2021-09-23 01:56:46.163007 : Epoch 10, Batch    119, Loss  0.773459, Average Loss  0.769828, Time  0.251200
2021-09-23 01:56:46.973605 : Epoch 10, Batch    304, Loss  0.784267, Average Loss  0.769796, Time  0.248501
2021-09-23 01:56:47.518100 : Epoch  5, Batch    141, Loss  0.866031, Average Loss  0.871100, Time  0.413160
2021-09-23 01:56:48.054977 : Epoch 10, Batch    120, Loss  0.773287, Average Loss  0.769828, Time  0.256313
2021-09-23 01:56:48.842757 : Epoch 10, Batch    305, Loss  0.774052, Average Loss  0.769847, Time  0.248968
2021-09-23 01:56:49.958020 : Epoch 10, Batch    121, Loss  0.774305, Average Loss  0.769890, Time  0.255002
2021-09-23 01:56:50.716818 : Epoch 10, Batch    306, Loss  0.767322, Average Loss  0.769841, Time  0.249028
2021-09-23 01:56:51.896018 : Epoch 10, Batch    122, Loss  0.775306, Average Loss  0.769963, Time  0.257105
2021-09-23 01:56:52.471953 : Epoch  5, Batch    142, Loss  0.866761, Average Loss  0.871089, Time  0.413618
2021-09-23 01:56:52.591244 : Epoch 10, Batch    307, Loss  0.769625, Average Loss  0.769859, Time  0.249991
2021-09-23 01:56:53.782552 : Epoch 10, Batch    123, Loss  0.772570, Average Loss  0.769959, Time  0.255016
2021-09-23 01:56:54.458811 : Epoch 10, Batch    308, Loss  0.767110, Average Loss  0.769798, Time  0.250615
2021-09-23 01:56:55.691715 : Epoch 10, Batch    124, Loss  0.775387, Average Loss  0.770002, Time  0.257658
2021-09-23 01:56:56.362832 : Epoch 10, Batch    309, Loss  0.765495, Average Loss  0.769771, Time  0.270485
2021-09-23 01:56:57.417758 : Epoch  5, Batch    143, Loss  0.869253, Average Loss  0.871048, Time  0.414836
2021-09-23 01:56:57.588853 : Epoch 10, Batch    125, Loss  0.771255, Average Loss  0.769967, Time  0.260536
2021-09-23 01:56:58.287870 : Epoch 10, Batch    310, Loss  0.773093, Average Loss  0.769824, Time  0.248554
2021-09-23 01:56:59.496260 : Epoch 10, Batch    126, Loss  0.778188, Average Loss  0.770006, Time  0.259251
2021-09-23 01:57:00.166279 : Epoch 10, Batch    311, Loss  0.767100, Average Loss  0.769799, Time  0.249847
2021-09-23 01:57:01.398752 : Epoch 10, Batch    127, Loss  0.760296, Average Loss  0.769953, Time  0.259895
2021-09-23 01:57:02.042787 : Epoch 10, Batch    312, Loss  0.773790, Average Loss  0.769828, Time  0.250609
2021-09-23 01:57:02.437998 : Epoch  5, Batch    144, Loss  0.858618, Average Loss  0.871026, Time  0.468692
2021-09-23 01:57:03.293491 : Epoch 10, Batch    128, Loss  0.771937, Average Loss  0.769983, Time  0.251893
2021-09-23 01:57:03.917701 : Epoch 10, Batch    313, Loss  0.778851, Average Loss  0.769782, Time  0.250108
2021-09-23 01:57:05.168259 : Epoch 10, Batch    129, Loss  0.767448, Average Loss  0.769948, Time  0.254626
2021-09-23 01:57:05.804927 : Epoch 10, Batch    314, Loss  0.765246, Average Loss  0.769741, Time  0.252170
2021-09-23 01:57:07.064977 : Epoch 10, Batch    130, Loss  0.776567, Average Loss  0.770006, Time  0.251871
2021-09-23 01:57:07.365221 : Epoch  5, Batch    145, Loss  0.871904, Average Loss  0.870989, Time  0.419553
2021-09-23 01:57:07.706171 : Epoch 10, Batch    315, Loss  0.771015, Average Loss  0.769754, Time  0.247692
2021-09-23 01:57:08.954600 : Epoch 10, Batch    131, Loss  0.775901, Average Loss  0.770058, Time  0.251402
2021-09-23 01:57:09.570319 : Epoch 10, Batch    316, Loss  0.780729, Average Loss  0.769874, Time  0.254488
2021-09-23 01:57:10.853508 : Epoch 10, Batch    132, Loss  0.775850, Average Loss  0.770101, Time  0.259836
2021-09-23 01:57:11.468851 : Epoch 10, Batch    317, Loss  0.767404, Average Loss  0.769896, Time  0.257980
2021-09-23 01:57:12.295999 : Epoch  5, Batch    146, Loss  0.868187, Average Loss  0.870986, Time  0.414153
2021-09-23 01:57:12.751200 : Epoch 10, Batch    133, Loss  0.768313, Average Loss  0.770116, Time  0.258823
2021-09-23 01:57:14.639279 : Epoch 10, Batch    134, Loss  0.764061, Average Loss  0.770106, Time  0.256937
2021-09-23 01:57:16.525367 : Epoch 10, Batch    135, Loss  0.766647, Average Loss  0.770108, Time  0.254047
2021-09-23 01:57:17.252736 : Epoch  5, Batch    147, Loss  0.857733, Average Loss  0.870932, Time  0.414798
2021-09-23 01:57:18.499335 : Epoch 10, Batch    136, Loss  0.772825, Average Loss  0.770196, Time  0.329053
2021-09-23 01:57:20.410117 : Epoch 10, Batch    137, Loss  0.766797, Average Loss  0.770208, Time  0.273079
2021-09-23 01:57:22.241182 : Epoch  5, Batch    148, Loss  0.857471, Average Loss  0.870798, Time  0.413196
2021-09-23 01:57:22.316831 : Epoch 10, Batch    138, Loss  0.773142, Average Loss  0.770214, Time  0.253513
2021-09-23 01:57:24.208946 : Epoch 10, Batch    139, Loss  0.761504, Average Loss  0.770181, Time  0.255901
2021-09-23 01:57:26.102337 : Epoch 10, Batch    140, Loss  0.778382, Average Loss  0.770285, Time  0.251213
2021-09-23 01:57:27.186924 : Epoch  5, Batch    149, Loss  0.866731, Average Loss  0.870774, Time  0.413137
2021-09-23 01:57:27.990920 : Epoch 10, Batch    141, Loss  0.767758, Average Loss  0.770233, Time  0.251361
2021-09-23 01:57:29.971713 : Epoch 10, Batch    142, Loss  0.775705, Average Loss  0.770237, Time  0.328630
2021-09-23 01:57:31.854043 : Epoch 10, Batch    143, Loss  0.772527, Average Loss  0.770228, Time  0.253889
2021-09-23 01:57:32.121259 : Epoch  5, Batch    150, Loss  0.859890, Average Loss  0.870607, Time  0.413789
2021-09-23 01:57:33.744630 : Epoch 10, Batch    144, Loss  0.775581, Average Loss  0.770250, Time  0.252073
2021-09-23 01:57:35.640727 : Epoch 10, Batch    145, Loss  0.773126, Average Loss  0.770265, Time  0.256385
2021-09-23 01:57:37.054999 : Epoch  5, Batch    151, Loss  0.880747, Average Loss  0.870645, Time  0.413297
2021-09-23 01:57:37.536353 : Epoch 10, Batch    146, Loss  0.773707, Average Loss  0.770310, Time  0.251187
2021-09-23 01:57:39.427095 : Epoch 10, Batch    147, Loss  0.763873, Average Loss  0.770289, Time  0.253232
2021-09-23 01:57:41.336456 : Epoch 10, Batch    148, Loss  0.768165, Average Loss  0.770320, Time  0.253115
2021-09-23 01:57:41.992959 : Epoch  5, Batch    152, Loss  0.863243, Average Loss  0.870577, Time  0.413292
2021-09-23 01:57:43.300272 : Epoch 10, Batch    149, Loss  0.770193, Average Loss  0.770298, Time  0.321195
2021-09-23 01:57:45.189480 : Epoch 10, Batch    150, Loss  0.765011, Average Loss  0.770212, Time  0.251651
2021-09-23 01:57:46.935879 : Epoch  5, Batch    153, Loss  0.878998, Average Loss  0.870634, Time  0.413399
2021-09-23 01:57:47.087990 : Epoch 10, Batch    151, Loss  0.755760, Average Loss  0.770162, Time  0.254445
2021-09-23 01:57:48.981144 : Epoch 10, Batch    152, Loss  0.780747, Average Loss  0.770210, Time  0.256638
2021-09-23 01:57:50.861323 : Epoch 10, Batch    153, Loss  0.769958, Average Loss  0.770176, Time  0.252223
2021-09-23 01:57:51.923841 : Epoch  5, Batch    154, Loss  0.878148, Average Loss  0.870671, Time  0.460992
2021-09-23 01:57:52.748935 : Epoch 10, Batch    154, Loss  0.770305, Average Loss  0.770200, Time  0.250697
2021-09-23 01:57:54.711077 : Epoch 10, Batch    155, Loss  0.770230, Average Loss  0.770235, Time  0.327141
2021-09-23 01:57:56.642390 : Epoch 10, Batch    156, Loss  0.775240, Average Loss  0.770242, Time  0.254898
2021-09-23 01:57:56.878752 : Epoch  5, Batch    155, Loss  0.874131, Average Loss  0.870637, Time  0.413911
2021-09-23 01:57:58.523983 : Epoch 10, Batch    157, Loss  0.770280, Average Loss  0.770254, Time  0.253916
2021-09-23 01:58:00.416342 : Epoch 10, Batch    158, Loss  0.769942, Average Loss  0.770233, Time  0.255171
2021-09-23 01:58:01.816012 : Epoch  5, Batch    156, Loss  0.865242, Average Loss  0.870575, Time  0.414289
2021-09-23 01:58:02.339290 : Epoch 10, Batch    159, Loss  0.777241, Average Loss  0.770354, Time  0.252543
2021-09-23 01:58:04.225969 : Epoch 10, Batch    160, Loss  0.770470, Average Loss  0.770465, Time  0.254790
2021-09-23 01:58:06.156830 : Epoch 10, Batch    161, Loss  0.768357, Average Loss  0.770459, Time  0.276050
2021-09-23 01:58:06.769935 : Epoch  5, Batch    157, Loss  0.879692, Average Loss  0.870607, Time  0.424159
2021-09-23 01:58:08.072293 : Epoch 10, Batch    162, Loss  0.775649, Average Loss  0.770444, Time  0.281403
2021-09-23 01:58:09.988246 : Epoch 10, Batch    163, Loss  0.780289, Average Loss  0.770514, Time  0.255415
2021-09-23 01:58:11.715930 : Epoch  5, Batch    158, Loss  0.835089, Average Loss  0.870438, Time  0.413304
2021-09-23 01:58:11.907956 : Epoch 10, Batch    164, Loss  0.767066, Average Loss  0.770479, Time  0.257215
2021-09-23 01:58:13.805012 : Epoch 10, Batch    165, Loss  0.754910, Average Loss  0.770388, Time  0.251953
2021-09-23 01:58:15.690185 : Epoch 10, Batch    166, Loss  0.765994, Average Loss  0.770353, Time  0.254307
2021-09-23 01:58:16.685032 : Epoch  5, Batch    159, Loss  0.876703, Average Loss  0.870425, Time  0.415546
2021-09-23 01:58:17.577386 : Epoch 10, Batch    167, Loss  0.766488, Average Loss  0.770369, Time  0.253596
2021-09-23 01:58:19.527173 : Epoch 10, Batch    168, Loss  0.770466, Average Loss  0.770434, Time  0.325698
2021-09-23 01:58:21.463936 : Epoch 10, Batch    169, Loss  0.764936, Average Loss  0.770464, Time  0.251663
2021-09-23 01:58:21.630740 : Epoch  5, Batch    160, Loss  0.865435, Average Loss  0.870377, Time  0.413518
2021-09-23 01:58:23.491048 : Epoch 10, Batch    170, Loss  0.761511, Average Loss  0.770407, Time  0.393960
2021-09-23 01:58:23.600970 : Epoch 10, Batch    318, Loss  0.772765, Average Loss  0.769916, Time  0.355190
2021-09-23 01:58:25.577109 : Epoch 10, Batch    171, Loss  0.772869, Average Loss  0.770371, Time  0.460693
2021-09-23 01:58:25.632830 : Epoch 10, Batch    319, Loss  0.778999, Average Loss  0.770007, Time  0.425850
2021-09-23 01:58:26.588732 : Epoch  5, Batch    161, Loss  0.862254, Average Loss  0.870336, Time  0.412976
2021-09-23 01:58:27.757666 : Epoch 10, Batch    172, Loss  0.771389, Average Loss  0.770391, Time  0.518365
2021-09-23 01:58:27.757689 : Epoch 10, Batch    320, Loss  0.771210, Average Loss  0.770038, Time  0.502159
2021-09-23 01:58:29.887807 : Epoch 10, Batch    321, Loss  0.763285, Average Loss  0.769948, Time  0.515503
2021-09-23 01:58:29.915567 : Epoch 10, Batch    173, Loss  0.767950, Average Loss  0.770370, Time  0.510578
2021-09-23 01:58:31.537030 : Epoch  5, Batch    162, Loss  0.854948, Average Loss  0.870273, Time  0.413903
2021-09-23 01:58:31.992837 : Epoch 10, Batch    322, Loss  0.768510, Average Loss  0.769864, Time  0.490176
2021-09-23 01:58:32.026921 : Epoch 10, Batch    174, Loss  0.757038, Average Loss  0.770291, Time  0.457529
2021-09-23 01:58:34.066327 : Epoch 10, Batch    323, Loss  0.775026, Average Loss  0.769844, Time  0.462380
2021-09-23 01:58:34.122332 : Epoch 10, Batch    175, Loss  0.761176, Average Loss  0.770267, Time  0.429101
2021-09-23 01:58:36.138478 : Epoch 10, Batch    324, Loss  0.760521, Average Loss  0.769799, Time  0.453728
2021-09-23 01:58:36.196620 : Epoch 10, Batch    176, Loss  0.768936, Average Loss  0.770248, Time  0.423059
2021-09-23 01:58:36.530737 : Epoch  5, Batch    163, Loss  0.883212, Average Loss  0.870256, Time  0.464797
2021-09-23 01:58:38.260545 : Epoch 10, Batch    325, Loss  0.781667, Average Loss  0.769836, Time  0.499302
2021-09-23 01:58:38.304996 : Epoch 10, Batch    177, Loss  0.773154, Average Loss  0.770318, Time  0.473974
2021-09-23 01:58:40.133858 : Epoch 10, Batch    326, Loss  0.767153, Average Loss  0.769849, Time  0.254784
2021-09-23 01:58:40.559198 : Epoch 10, Batch    178, Loss  0.774548, Average Loss  0.770334, Time  0.279889
2021-09-23 01:58:41.491733 : Epoch  5, Batch    164, Loss  0.877349, Average Loss  0.870298, Time  0.420408
2021-09-23 01:58:42.025884 : Epoch 10, Batch    327, Loss  0.778802, Average Loss  0.769953, Time  0.251055
2021-09-23 01:58:42.494181 : Epoch 10, Batch    179, Loss  0.767086, Average Loss  0.770307, Time  0.288521
2021-09-23 01:58:43.902275 : Epoch 10, Batch    328, Loss  0.760746, Average Loss  0.769863, Time  0.249667
2021-09-23 01:58:44.411366 : Epoch 10, Batch    180, Loss  0.759905, Average Loss  0.770264, Time  0.258340
2021-09-23 01:58:45.771146 : Epoch 10, Batch    329, Loss  0.756186, Average Loss  0.769827, Time  0.250734
2021-09-23 01:58:46.442014 : Epoch  5, Batch    165, Loss  0.883141, Average Loss  0.870417, Time  0.414131
2021-09-23 01:58:46.556336 : Epoch 10, Batch    181, Loss  0.769634, Average Loss  0.770252, Time  0.260971
2021-09-23 01:58:47.638855 : Epoch 10, Batch    330, Loss  0.779972, Average Loss  0.769816, Time  0.249630
2021-09-23 01:58:48.541850 : Epoch 10, Batch    182, Loss  0.781599, Average Loss  0.770315, Time  0.277413
2021-09-23 01:58:49.498224 : Epoch 10, Batch    331, Loss  0.745703, Average Loss  0.769687, Time  0.248712
2021-09-23 01:58:50.461047 : Epoch 10, Batch    183, Loss  0.761895, Average Loss  0.770265, Time  0.256608
2021-09-23 01:58:51.375793 : Epoch  5, Batch    166, Loss  0.880971, Average Loss  0.870491, Time  0.413329
2021-09-23 01:58:51.392985 : Epoch 10, Batch    332, Loss  0.767311, Average Loss  0.769677, Time  0.252120
2021-09-23 01:58:52.392229 : Epoch 10, Batch    184, Loss  0.768908, Average Loss  0.770207, Time  0.269181
2021-09-23 01:58:53.268875 : Epoch 10, Batch    333, Loss  0.775597, Average Loss  0.769737, Time  0.248021
2021-09-23 01:58:54.334024 : Epoch 10, Batch    185, Loss  0.789425, Average Loss  0.770332, Time  0.259407
2021-09-23 01:58:55.152600 : Epoch 10, Batch    334, Loss  0.763937, Average Loss  0.769702, Time  0.253927
2021-09-23 01:58:56.239067 : Epoch 10, Batch    186, Loss  0.772883, Average Loss  0.770310, Time  0.254730
2021-09-23 01:58:56.318945 : Epoch  5, Batch    167, Loss  0.882123, Average Loss  0.870617, Time  0.414193
2021-09-23 01:58:57.043910 : Epoch 10, Batch    335, Loss  0.775886, Average Loss  0.769736, Time  0.252283
2021-09-23 01:58:58.159387 : Epoch 10, Batch    187, Loss  0.769692, Average Loss  0.770351, Time  0.254278
2021-09-23 01:58:58.923861 : Epoch 10, Batch    336, Loss  0.776523, Average Loss  0.769810, Time  0.250764
2021-09-23 01:59:00.806414 : Epoch 10, Batch    337, Loss  0.762907, Average Loss  0.769786, Time  0.248502
2021-09-23 01:59:01.274781 : Epoch  5, Batch    168, Loss  0.846410, Average Loss  0.870447, Time  0.414153
2021-09-23 01:59:01.900029 : Epoch 10, Batch    188, Loss  0.769103, Average Loss  0.770278, Time  0.254009
2021-09-23 01:59:02.676090 : Epoch 10, Batch    338, Loss  0.777063, Average Loss  0.769836, Time  0.250928
2021-09-23 01:59:03.806878 : Epoch 10, Batch    189, Loss  0.780571, Average Loss  0.770387, Time  0.251910
2021-09-23 01:59:04.566603 : Epoch 10, Batch    339, Loss  0.769943, Average Loss  0.769853, Time  0.250113
2021-09-23 01:59:05.735978 : Epoch 10, Batch    190, Loss  0.768217, Average Loss  0.770355, Time  0.255319
2021-09-23 01:59:06.212013 : Epoch  5, Batch    169, Loss  0.880260, Average Loss  0.870515, Time  0.413597
2021-09-23 01:59:06.422246 : Epoch 10, Batch    340, Loss  0.772066, Average Loss  0.769868, Time  0.248624
2021-09-23 01:59:07.628334 : Epoch 10, Batch    191, Loss  0.768951, Average Loss  0.770402, Time  0.256735
2021-09-23 01:59:08.288270 : Epoch 10, Batch    341, Loss  0.780178, Average Loss  0.769934, Time  0.251297
2021-09-23 01:59:09.538287 : Epoch 10, Batch    192, Loss  0.761369, Average Loss  0.770371, Time  0.252289
2021-09-23 01:59:10.175436 : Epoch 10, Batch    342, Loss  0.765800, Average Loss  0.769928, Time  0.250254
2021-09-23 01:59:11.153097 : Epoch  5, Batch    170, Loss  0.874081, Average Loss  0.870606, Time  0.414172
2021-09-23 01:59:11.440786 : Epoch 10, Batch    193, Loss  0.777314, Average Loss  0.770391, Time  0.252337
2021-09-23 01:59:12.055172 : Epoch 10, Batch    343, Loss  0.776809, Average Loss  0.769980, Time  0.259211
2021-09-23 01:59:13.355724 : Epoch 10, Batch    194, Loss  0.771307, Average Loss  0.770428, Time  0.252806
2021-09-23 01:59:13.934179 : Epoch 10, Batch    344, Loss  0.776292, Average Loss  0.770032, Time  0.257024
2021-09-23 01:59:15.266783 : Epoch 10, Batch    195, Loss  0.773713, Average Loss  0.770416, Time  0.256609
2021-09-23 01:59:15.847249 : Epoch 10, Batch    345, Loss  0.774012, Average Loss  0.769974, Time  0.248990
2021-09-23 01:59:16.105769 : Epoch  5, Batch    171, Loss  0.876410, Average Loss  0.870580, Time  0.413196
2021-09-23 01:59:17.181136 : Epoch 10, Batch    196, Loss  0.776569, Average Loss  0.770496, Time  0.251499
2021-09-23 01:59:17.732867 : Epoch 10, Batch    346, Loss  0.765273, Average Loss  0.769932, Time  0.251016
2021-09-23 01:59:19.069336 : Epoch 10, Batch    197, Loss  0.771654, Average Loss  0.770432, Time  0.254274
2021-09-23 01:59:19.593810 : Epoch 10, Batch    347, Loss  0.765586, Average Loss  0.769904, Time  0.247815
2021-09-23 01:59:20.977841 : Epoch 10, Batch    198, Loss  0.769415, Average Loss  0.770405, Time  0.262634
2021-09-23 01:59:21.110751 : Epoch  5, Batch    172, Loss  0.865802, Average Loss  0.870604, Time  0.458935
2021-09-23 01:59:21.480133 : Epoch 10, Batch    348, Loss  0.769577, Average Loss  0.769892, Time  0.250153
2021-09-23 01:59:22.892274 : Epoch 10, Batch    199, Loss  0.772127, Average Loss  0.770390, Time  0.257861
2021-09-23 01:59:23.368481 : Epoch 10, Batch    349, Loss  0.772328, Average Loss  0.769862, Time  0.249176
2021-09-23 01:59:24.774917 : Epoch 10, Batch    200, Loss  0.760757, Average Loss  0.770348, Time  0.253742
2021-09-23 01:59:25.241917 : Epoch 10, Batch    350, Loss  0.765089, Average Loss  0.769858, Time  0.250548
2021-09-23 01:59:26.048741 : Epoch  5, Batch    173, Loss  0.887452, Average Loss  0.870682, Time  0.413263
2021-09-23 01:59:26.668359 : Epoch 10, Batch    201, Loss  0.760924, Average Loss  0.770132, Time  0.251034
2021-09-23 01:59:27.110066 : Epoch 10, Batch    351, Loss  0.762853, Average Loss  0.769817, Time  0.248830
2021-09-23 01:59:28.568245 : Epoch 10, Batch    202, Loss  0.762922, Average Loss  0.770100, Time  0.255780
2021-09-23 01:59:28.975004 : Epoch 10, Batch    352, Loss  0.764211, Average Loss  0.769832, Time  0.249804
2021-09-23 01:59:30.456588 : Epoch 10, Batch    203, Loss  0.764682, Average Loss  0.770031, Time  0.257711
2021-09-23 01:59:30.840351 : Epoch 10, Batch    353, Loss  0.776451, Average Loss  0.769835, Time  0.248827
2021-09-23 01:59:31.004746 : Epoch  5, Batch    174, Loss  0.864705, Average Loss  0.870638, Time  0.413469
2021-09-23 01:59:32.392195 : Epoch 10, Batch    204, Loss  0.768881, Average Loss  0.770047, Time  0.256029
2021-09-23 01:59:32.722975 : Epoch 10, Batch    354, Loss  0.770704, Average Loss  0.769840, Time  0.251309
2021-09-23 01:59:34.308661 : Epoch 10, Batch    205, Loss  0.763768, Average Loss  0.769875, Time  0.259470
2021-09-23 01:59:34.580832 : Epoch 10, Batch    355, Loss  0.773408, Average Loss  0.769850, Time  0.249923
2021-09-23 01:59:35.933715 : Epoch  5, Batch    175, Loss  0.860342, Average Loss  0.870617, Time  0.413043
2021-09-23 01:59:36.215848 : Epoch 10, Batch    206, Loss  0.782513, Average Loss  0.769950, Time  0.253189
2021-09-23 01:59:36.454986 : Epoch 10, Batch    356, Loss  0.776742, Average Loss  0.769834, Time  0.254525
2021-09-23 01:59:38.092738 : Epoch 10, Batch    207, Loss  0.769518, Average Loss  0.769928, Time  0.253757
2021-09-23 01:59:38.319223 : Epoch 10, Batch    357, Loss  0.759962, Average Loss  0.769736, Time  0.261245
2021-09-23 01:59:39.984295 : Epoch 10, Batch    208, Loss  0.774665, Average Loss  0.769935, Time  0.252719
2021-09-23 01:59:40.226907 : Epoch 10, Batch    358, Loss  0.773121, Average Loss  0.769739, Time  0.257011
2021-09-23 01:59:40.877631 : Epoch  5, Batch    176, Loss  0.880878, Average Loss  0.870669, Time  0.415233
2021-09-23 01:59:41.894326 : Epoch 10, Batch    209, Loss  0.770851, Average Loss  0.769915, Time  0.261030
2021-09-23 01:59:42.123836 : Epoch 10, Batch    359, Loss  0.780607, Average Loss  0.769801, Time  0.261227
2021-09-23 01:59:43.860056 : Epoch 10, Batch    210, Loss  0.776940, Average Loss  0.769966, Time  0.319857
2021-09-23 01:59:44.025942 : Epoch 10, Batch    360, Loss  0.754129, Average Loss  0.769695, Time  0.285728
2021-09-23 01:59:45.840775 : Epoch  5, Batch    177, Loss  0.865462, Average Loss  0.870669, Time  0.413111
2021-09-23 01:59:45.848511 : Epoch 10, Batch    211, Loss  0.786855, Average Loss  0.770050, Time  0.355362
2021-09-23 01:59:45.990265 : Epoch 10, Batch    361, Loss  0.772764, Average Loss  0.769728, Time  0.310705
2021-09-23 01:59:47.954554 : Epoch 10, Batch    212, Loss  0.772718, Average Loss  0.770035, Time  0.445502
2021-09-23 01:59:48.029391 : Epoch 10, Batch    362, Loss  0.777731, Average Loss  0.769746, Time  0.404814
2021-09-23 01:59:50.111112 : Epoch 10, Batch    213, Loss  0.775168, Average Loss  0.770038, Time  0.498556
2021-09-23 01:59:50.146947 : Epoch 10, Batch    363, Loss  0.772580, Average Loss  0.769778, Time  0.463391
2021-09-23 01:59:50.787029 : Epoch  5, Batch    178, Loss  0.872043, Average Loss  0.870569, Time  0.413052
2021-09-23 01:59:52.268478 : Epoch 10, Batch    364, Loss  0.772191, Average Loss  0.769834, Time  0.487830
2021-09-23 01:59:52.302566 : Epoch 10, Batch    214, Loss  0.760357, Average Loss  0.769949, Time  0.517818
2021-09-23 01:59:54.389796 : Epoch 10, Batch    365, Loss  0.772403, Average Loss  0.769856, Time  0.495375
2021-09-23 01:59:54.425920 : Epoch 10, Batch    215, Loss  0.769490, Average Loss  0.769900, Time  0.462451
2021-09-23 01:59:55.738773 : Epoch  5, Batch    179, Loss  0.869962, Average Loss  0.870537, Time  0.413162
2021-09-23 01:59:56.499987 : Epoch 10, Batch    366, Loss  0.774507, Average Loss  0.769885, Time  0.490076
2021-09-23 01:59:56.533307 : Epoch 10, Batch    216, Loss  0.762144, Average Loss  0.769848, Time  0.453300
2021-09-23 01:59:58.606611 : Epoch 10, Batch    367, Loss  0.766048, Average Loss  0.769858, Time  0.492524
2021-09-23 01:59:58.640216 : Epoch 10, Batch    217, Loss  0.771526, Average Loss  0.769869, Time  0.459374
2021-09-23 02:00:00.489947 : Epoch 10, Batch    368, Loss  0.761034, Average Loss  0.769817, Time  0.249398
2021-09-23 02:00:00.691924 : Epoch  5, Batch    180, Loss  0.878566, Average Loss  0.870587, Time  0.413086
2021-09-23 02:00:02.436366 : Epoch 10, Batch    369, Loss  0.766283, Average Loss  0.769786, Time  0.315762
2021-09-23 02:00:04.321880 : Epoch 10, Batch    370, Loss  0.777683, Average Loss  0.769829, Time  0.249964
2021-09-23 02:00:05.644762 : Epoch  5, Batch    181, Loss  0.868519, Average Loss  0.870566, Time  0.415368
2021-09-23 02:00:06.205373 : Epoch 10, Batch    371, Loss  0.763481, Average Loss  0.769834, Time  0.250746
2021-09-23 02:00:08.113873 : Epoch 10, Batch    372, Loss  0.765840, Average Loss  0.769892, Time  0.251391
2021-09-23 02:00:10.007153 : Epoch 10, Batch    373, Loss  0.773458, Average Loss  0.769863, Time  0.254906
2021-09-23 02:00:10.649139 : Epoch  5, Batch    182, Loss  0.868720, Average Loss  0.870636, Time  0.457165
2021-09-23 02:00:11.882775 : Epoch 10, Batch    374, Loss  0.770220, Average Loss  0.769955, Time  0.250450
2021-09-23 02:00:13.773154 : Epoch 10, Batch    375, Loss  0.785520, Average Loss  0.770056, Time  0.253079
2021-09-23 02:00:15.596882 : Epoch  5, Batch    183, Loss  0.871046, Average Loss  0.870700, Time  0.413662
2021-09-23 02:00:15.757454 : Epoch 10, Batch    376, Loss  0.764303, Average Loss  0.769988, Time  0.327753
2021-09-23 02:00:17.661800 : Epoch 10, Batch    377, Loss  0.768253, Average Loss  0.769968, Time  0.257313
2021-09-23 02:00:19.560737 : Epoch 10, Batch    378, Loss  0.766245, Average Loss  0.769955, Time  0.251354
2021-09-23 02:00:20.548074 : Epoch  5, Batch    184, Loss  0.873563, Average Loss  0.870618, Time  0.413571
2021-09-23 02:00:21.432070 : Epoch 10, Batch    379, Loss  0.780353, Average Loss  0.769961, Time  0.251658
2021-09-23 02:00:23.304081 : Epoch 10, Batch    380, Loss  0.772392, Average Loss  0.769987, Time  0.249032
2021-09-23 02:00:25.191067 : Epoch 10, Batch    381, Loss  0.759995, Average Loss  0.769941, Time  0.251026
2021-09-23 02:00:25.502948 : Epoch  5, Batch    185, Loss  0.869207, Average Loss  0.870611, Time  0.413585
2021-09-23 02:00:27.083421 : Epoch 10, Batch    382, Loss  0.765085, Average Loss  0.769892, Time  0.254905
2021-09-23 02:00:28.997685 : Epoch 10, Batch    383, Loss  0.760058, Average Loss  0.769821, Time  0.301723
2021-09-23 02:00:30.455731 : Epoch  5, Batch    186, Loss  0.869757, Average Loss  0.870638, Time  0.414514
2021-09-23 02:00:30.911104 : Epoch 10, Batch    384, Loss  0.761939, Average Loss  0.769823, Time  0.307924
2021-09-23 02:00:32.794163 : Epoch 10, Batch    385, Loss  0.777320, Average Loss  0.769832, Time  0.253083
2021-09-23 02:00:34.690382 : Epoch 10, Batch    386, Loss  0.783699, Average Loss  0.769857, Time  0.250356
2021-09-23 02:00:35.388019 : Epoch  5, Batch    187, Loss  0.866320, Average Loss  0.870601, Time  0.413420
2021-09-23 02:00:36.570401 : Epoch 10, Batch    387, Loss  0.775402, Average Loss  0.769880, Time  0.258663
2021-09-23 02:00:40.270727 : Epoch 10, Batch    388, Loss  0.771509, Average Loss  0.769931, Time  0.255227
2021-09-23 02:00:40.328823 : Epoch  5, Batch    188, Loss  0.889447, Average Loss  0.870674, Time  0.413059
2021-09-23 02:00:42.184301 : Epoch 10, Batch    389, Loss  0.764168, Average Loss  0.769842, Time  0.250379
2021-09-23 02:00:44.131353 : Epoch 10, Batch    390, Loss  0.776351, Average Loss  0.769879, Time  0.324315
2021-09-23 02:00:46.009241 : Epoch 10, Batch    391, Loss  0.769744, Average Loss  0.769830, Time  0.254934
2021-09-23 02:00:47.873096 : Epoch 10, Batch    392, Loss  0.769959, Average Loss  0.769841, Time  0.252657
2021-09-23 02:00:49.751296 : Epoch 10, Batch    393, Loss  0.771513, Average Loss  0.769844, Time  0.250655
2021-09-23 02:00:51.642229 : Epoch 10, Batch    394, Loss  0.789446, Average Loss  0.769925, Time  0.249345
2021-09-23 02:00:53.506889 : Epoch 10, Batch    395, Loss  0.764286, Average Loss  0.769911, Time  0.249498
2021-09-23 02:00:55.384937 : Epoch 10, Batch    396, Loss  0.762773, Average Loss  0.769913, Time  0.251935
2021-09-23 02:00:57.272214 : Epoch 10, Batch    397, Loss  0.761958, Average Loss  0.769873, Time  0.252176
2021-09-23 02:00:59.222321 : Epoch 10, Batch    398, Loss  0.762486, Average Loss  0.769830, Time  0.324057
2021-09-23 02:01:01.090847 : Epoch 10, Batch    399, Loss  0.769803, Average Loss  0.769774, Time  0.249330
2021-09-23 02:01:02.987405 : Epoch 10, Batch    400, Loss  0.764263, Average Loss  0.769673, Time  0.261474
2021-09-23 02:01:04.866526 : Epoch 10, Batch    401, Loss  0.764396, Average Loss  0.769686, Time  0.255063
2021-09-23 02:01:06.750535 : Epoch 10, Batch    402, Loss  0.768340, Average Loss  0.769691, Time  0.248084
2021-09-23 02:01:08.620263 : Epoch 10, Batch    403, Loss  0.770793, Average Loss  0.769694, Time  0.252358
2021-09-23 02:01:09.632694 : CheckPoint: Validation Loss  0.00031363, Best Loss  0.00030514
2021-09-23 02:01:10.509744 : Epoch 10, Batch    404, Loss  0.779205, Average Loss  0.769715, Time  0.250189
2021-09-23 02:01:11.531952 : Epoch 10, Batch    218, Loss  0.781123, Average Loss  0.769957, Time  0.264373
2021-09-23 02:01:12.398251 : Epoch 10, Batch    405, Loss  0.763114, Average Loss  0.769731, Time  0.249485
2021-09-23 02:01:13.449114 : Epoch 10, Batch    219, Loss  0.779758, Average Loss  0.770021, Time  0.254451
2021-09-23 02:01:14.287982 : Epoch 10, Batch    406, Loss  0.763201, Average Loss  0.769637, Time  0.251947
2021-09-23 02:01:15.339329 : Epoch 10, Batch    220, Loss  0.778007, Average Loss  0.770039, Time  0.252584
2021-09-23 02:01:16.149332 : Epoch 10, Batch    407, Loss  0.779692, Average Loss  0.769702, Time  0.251544
2021-09-23 02:01:17.236514 : Epoch 10, Batch    221, Loss  0.778053, Average Loss  0.770108, Time  0.250863
2021-09-23 02:01:18.037566 : Epoch 10, Batch    408, Loss  0.771634, Average Loss  0.769708, Time  0.250276
2021-09-23 02:01:19.155093 : Epoch 10, Batch    222, Loss  0.781584, Average Loss  0.770103, Time  0.255585
2021-09-23 02:01:19.907116 : Epoch 10, Batch    409, Loss  0.773330, Average Loss  0.769739, Time  0.248502
2021-09-23 02:01:21.047381 : Epoch 10, Batch    223, Loss  0.762353, Average Loss  0.770043, Time  0.253759
2021-09-23 02:01:21.772971 : Epoch 10, Batch    410, Loss  0.777281, Average Loss  0.769789, Time  0.247987
2021-09-23 02:01:22.958785 : Epoch 10, Batch    224, Loss  0.777445, Average Loss  0.770131, Time  0.252633
2021-09-23 02:01:23.657262 : Epoch 10, Batch    411, Loss  0.765319, Average Loss  0.769821, Time  0.255423
2021-09-23 02:01:24.871960 : Epoch 10, Batch    225, Loss  0.770137, Average Loss  0.770112, Time  0.251986
2021-09-23 02:01:25.574832 : Epoch 10, Batch    412, Loss  0.762705, Average Loss  0.769743, Time  0.250460
2021-09-23 02:01:26.788981 : Epoch 10, Batch    226, Loss  0.750842, Average Loss  0.770012, Time  0.254070
2021-09-23 02:01:27.461463 : Epoch 10, Batch    413, Loss  0.766184, Average Loss  0.769794, Time  0.253539
2021-09-23 02:01:28.697752 : Epoch 10, Batch    227, Loss  0.769463, Average Loss  0.770026, Time  0.254203
2021-09-23 02:01:29.335246 : Epoch 10, Batch    414, Loss  0.777915, Average Loss  0.769845, Time  0.250950
2021-09-23 02:01:30.612081 : Epoch 10, Batch    228, Loss  0.759534, Average Loss  0.770013, Time  0.261619
2021-09-23 02:01:31.212966 : Epoch 10, Batch    415, Loss  0.781426, Average Loss  0.769919, Time  0.248228
2021-09-23 02:01:32.496331 : Epoch 10, Batch    229, Loss  0.769077, Average Loss  0.770034, Time  0.251916
2021-09-23 02:01:33.091914 : Epoch 10, Batch    416, Loss  0.778526, Average Loss  0.769960, Time  0.249125
2021-09-23 02:01:34.395405 : Epoch 10, Batch    230, Loss  0.764656, Average Loss  0.769989, Time  0.251306
2021-09-23 02:01:34.963369 : Epoch 10, Batch    417, Loss  0.769131, Average Loss  0.769971, Time  0.251999
2021-09-23 02:01:36.313471 : Epoch 10, Batch    231, Loss  0.760981, Average Loss  0.769906, Time  0.253855
2021-09-23 02:01:38.237697 : Epoch 10, Batch    232, Loss  0.759904, Average Loss  0.769845, Time  0.258866
2021-09-23 02:01:40.214729 : Epoch 10, Batch    233, Loss  0.768880, Average Loss  0.769810, Time  0.328405
2021-09-23 02:01:42.113754 : Epoch 10, Batch    234, Loss  0.776824, Average Loss  0.769854, Time  0.251463
2021-09-23 02:01:44.006002 : Epoch 10, Batch    235, Loss  0.769417, Average Loss  0.769839, Time  0.251668
2021-09-23 02:01:45.912971 : Epoch 10, Batch    236, Loss  0.769798, Average Loss  0.769816, Time  0.253404
2021-09-23 02:01:47.799018 : Epoch 10, Batch    237, Loss  0.776052, Average Loss  0.769862, Time  0.251075
2021-09-23 02:01:49.685094 : Epoch 10, Batch    238, Loss  0.760376, Average Loss  0.769850, Time  0.255965
2021-09-23 02:01:51.668509 : Epoch 10, Batch    239, Loss  0.774916, Average Loss  0.769891, Time  0.324853
2021-09-23 02:01:53.562437 : Epoch 10, Batch    240, Loss  0.778553, Average Loss  0.769956, Time  0.251392
2021-09-23 02:01:55.478824 : Epoch 10, Batch    241, Loss  0.772997, Average Loss  0.769951, Time  0.265944
2021-09-23 02:01:57.378308 : Epoch 10, Batch    242, Loss  0.764906, Average Loss  0.769886, Time  0.251314
2021-09-23 02:01:59.283237 : Epoch 10, Batch    243, Loss  0.773889, Average Loss  0.769941, Time  0.254284
2021-09-23 02:02:01.191759 : Epoch 10, Batch    244, Loss  0.778459, Average Loss  0.769972, Time  0.252226
2021-09-23 02:02:03.129238 : Epoch 10, Batch    245, Loss  0.777996, Average Loss  0.770012, Time  0.283034
2021-09-23 02:02:05.033235 : Epoch 10, Batch    246, Loss  0.760942, Average Loss  0.769982, Time  0.251209
2021-09-23 02:02:06.932341 : Epoch 10, Batch    247, Loss  0.778455, Average Loss  0.770021, Time  0.256557
2021-09-23 02:02:08.836317 : Epoch 10, Batch    248, Loss  0.759628, Average Loss  0.769970, Time  0.252340
2021-09-23 02:02:10.748578 : Epoch 10, Batch    249, Loss  0.760051, Average Loss  0.769946, Time  0.252957
2021-09-23 02:02:12.634503 : Epoch 10, Batch    250, Loss  0.773440, Average Loss  0.770023, Time  0.259352
2021-09-23 02:02:14.523292 : Epoch 10, Batch    251, Loss  0.759097, Average Loss  0.769914, Time  0.259894
2021-09-23 02:02:16.502323 : Epoch 10, Batch    252, Loss  0.770856, Average Loss  0.769884, Time  0.314480
2021-09-23 02:02:18.389216 : Epoch 10, Batch    253, Loss  0.779110, Average Loss  0.769997, Time  0.251563
2021-09-23 02:02:20.290054 : Epoch 10, Batch    254, Loss  0.760838, Average Loss  0.769936, Time  0.252389
2021-09-23 02:02:22.195022 : Epoch 10, Batch    255, Loss  0.774630, Average Loss  0.769988, Time  0.256269
2021-09-23 02:02:24.116237 : Epoch 10, Batch    256, Loss  0.763671, Average Loss  0.769969, Time  0.255932
2021-09-23 02:02:26.002973 : Epoch 10, Batch    257, Loss  0.783298, Average Loss  0.770115, Time  0.252680
2021-09-23 02:02:27.981084 : Epoch 10, Batch    258, Loss  0.755562, Average Loss  0.770043, Time  0.326386
2021-09-23 02:02:29.863723 : Epoch 10, Batch    259, Loss  0.778959, Average Loss  0.770082, Time  0.254279
2021-09-23 02:02:31.759367 : Epoch 10, Batch    260, Loss  0.772455, Average Loss  0.770135, Time  0.255153
2021-09-23 02:02:33.660638 : Epoch 10, Batch    261, Loss  0.766753, Average Loss  0.770166, Time  0.251746
2021-09-23 02:02:35.557534 : Epoch 10, Batch    262, Loss  0.772365, Average Loss  0.770155, Time  0.256925
2021-09-23 02:02:37.481121 : Epoch 10, Batch    263, Loss  0.771772, Average Loss  0.770202, Time  0.255203
2021-09-23 02:02:39.472114 : Epoch 10, Batch    264, Loss  0.767466, Average Loss  0.770152, Time  0.331270
2021-09-23 02:02:41.383217 : Epoch 10, Batch    265, Loss  0.787188, Average Loss  0.770228, Time  0.252876
2021-09-23 02:02:43.308903 : Epoch 10, Batch    266, Loss  0.765223, Average Loss  0.770244, Time  0.257465
2021-09-23 02:02:44.930519 : CheckPoint: Validation Loss  0.00033030, Best Loss  0.00030606
2021-09-23 02:02:45.220284 : Epoch 10, Batch    267, Loss  0.765793, Average Loss  0.770243, Time  0.268197
2021-09-23 02:02:46.821922 : Epoch 10, Batch    418, Loss  0.767880, Average Loss  0.769981, Time  0.249873
2021-09-23 02:02:47.149971 : Epoch 10, Batch    268, Loss  0.758760, Average Loss  0.770184, Time  0.261664
2021-09-23 02:02:48.696237 : Epoch 10, Batch    419, Loss  0.773614, Average Loss  0.769978, Time  0.258557
2021-09-23 02:02:49.047381 : Epoch 10, Batch    269, Loss  0.762433, Average Loss  0.770165, Time  0.253528
2021-09-23 02:02:50.575820 : Epoch 10, Batch    420, Loss  0.772208, Average Loss  0.769953, Time  0.252122
2021-09-23 02:02:50.948217 : Epoch 10, Batch    270, Loss  0.772296, Average Loss  0.770187, Time  0.252109
2021-09-23 02:02:52.454790 : Epoch 10, Batch    421, Loss  0.771125, Average Loss  0.769950, Time  0.249026
2021-09-23 02:02:52.839305 : Epoch 10, Batch    271, Loss  0.760478, Average Loss  0.770081, Time  0.254741
2021-09-23 02:02:54.345367 : Epoch 10, Batch    422, Loss  0.771769, Average Loss  0.770005, Time  0.248105
2021-09-23 02:02:54.738451 : Epoch 10, Batch    272, Loss  0.765845, Average Loss  0.770102, Time  0.258399
2021-09-23 02:02:56.259268 : Epoch 10, Batch    423, Loss  0.770920, Average Loss  0.770067, Time  0.248054
2021-09-23 02:02:56.632872 : Epoch 10, Batch    273, Loss  0.764357, Average Loss  0.770070, Time  0.258447
2021-09-23 02:02:58.140350 : Epoch 10, Batch    424, Loss  0.761143, Average Loss  0.770050, Time  0.250262
2021-09-23 02:02:58.547746 : Epoch 10, Batch    274, Loss  0.778767, Average Loss  0.770151, Time  0.257459
2021-09-23 02:03:00.032276 : Epoch 10, Batch    425, Loss  0.773845, Average Loss  0.769994, Time  0.254261
2021-09-23 02:03:00.478543 : Epoch 10, Batch    275, Loss  0.774251, Average Loss  0.770149, Time  0.254369
2021-09-23 02:03:01.934756 : Epoch 10, Batch    426, Loss  0.772049, Average Loss  0.769992, Time  0.256253
2021-09-23 02:03:02.368172 : Epoch 10, Batch    276, Loss  0.777238, Average Loss  0.770158, Time  0.252160
2021-09-23 02:03:03.813833 : Epoch 10, Batch    427, Loss  0.772085, Average Loss  0.769998, Time  0.248305
2021-09-23 02:03:04.282850 : Epoch 10, Batch    277, Loss  0.781491, Average Loss  0.770206, Time  0.251908
2021-09-23 02:03:05.693721 : Epoch 10, Batch    428, Loss  0.775042, Average Loss  0.770036, Time  0.248550
2021-09-23 02:03:06.177742 : Epoch 10, Batch    278, Loss  0.775617, Average Loss  0.770229, Time  0.252228
2021-09-23 02:03:07.575004 : Epoch 10, Batch    429, Loss  0.771369, Average Loss  0.770038, Time  0.250099
2021-09-23 02:03:08.072245 : Epoch 10, Batch    279, Loss  0.762932, Average Loss  0.770210, Time  0.251442
2021-09-23 02:03:09.469808 : Epoch 10, Batch    430, Loss  0.774007, Average Loss  0.770065, Time  0.247915
2021-09-23 02:03:09.979373 : Epoch 10, Batch    280, Loss  0.780285, Average Loss  0.770264, Time  0.251758
2021-09-23 02:03:11.348947 : Epoch 10, Batch    431, Loss  0.785775, Average Loss  0.770163, Time  0.248479
2021-09-23 02:03:11.875552 : Epoch 10, Batch    281, Loss  0.774888, Average Loss  0.770273, Time  0.253884
2021-09-23 02:03:13.248219 : Epoch 10, Batch    432, Loss  0.768111, Average Loss  0.770140, Time  0.249878
2021-09-23 02:03:13.801189 : Epoch 10, Batch    282, Loss  0.760933, Average Loss  0.770197, Time  0.252264
2021-09-23 02:03:15.128011 : Epoch 10, Batch    433, Loss  0.770766, Average Loss  0.770128, Time  0.249624
2021-09-23 02:03:15.705076 : Epoch 10, Batch    283, Loss  0.763651, Average Loss  0.770188, Time  0.254653
2021-09-23 02:03:17.002266 : Epoch 10, Batch    434, Loss  0.772414, Average Loss  0.770153, Time  0.247839
2021-09-23 02:03:17.631810 : Epoch 10, Batch    284, Loss  0.767124, Average Loss  0.770142, Time  0.250796
2021-09-23 02:03:18.884929 : Epoch 10, Batch    435, Loss  0.770415, Average Loss  0.770139, Time  0.249991
2021-09-23 02:03:19.532304 : Epoch 10, Batch    285, Loss  0.775148, Average Loss  0.770141, Time  0.251459
2021-09-23 02:03:20.790892 : Epoch 10, Batch    436, Loss  0.774937, Average Loss  0.770164, Time  0.251214
2021-09-23 02:03:21.440898 : Epoch 10, Batch    286, Loss  0.769642, Average Loss  0.770153, Time  0.251002
2021-09-23 02:03:22.679869 : Epoch 10, Batch    437, Loss  0.776670, Average Loss  0.770189, Time  0.247969
2021-09-23 02:03:23.340396 : Epoch 10, Batch    287, Loss  0.766429, Average Loss  0.770172, Time  0.254529
2021-09-23 02:03:24.587296 : Epoch 10, Batch    438, Loss  0.766906, Average Loss  0.770160, Time  0.278000
2021-09-23 02:03:26.471011 : Epoch 10, Batch    439, Loss  0.764937, Average Loss  0.770128, Time  0.251074
2021-09-23 02:03:27.690425 : Epoch 10, Batch    288, Loss  0.760186, Average Loss  0.770135, Time  0.254190
2021-09-23 02:03:28.366343 : Epoch 10, Batch    440, Loss  0.762517, Average Loss  0.770120, Time  0.250805
2021-09-23 02:03:29.594756 : Epoch 10, Batch    289, Loss  0.762129, Average Loss  0.770174, Time  0.256043
2021-09-23 02:03:30.262919 : Epoch 10, Batch    441, Loss  0.780948, Average Loss  0.770163, Time  0.255018
2021-09-23 02:03:31.499878 : Epoch 10, Batch    290, Loss  0.782150, Average Loss  0.770173, Time  0.253927
2021-09-23 02:03:32.135004 : Epoch 10, Batch    442, Loss  0.772977, Average Loss  0.770211, Time  0.249996
2021-09-23 02:03:33.398625 : Epoch 10, Batch    291, Loss  0.778462, Average Loss  0.770265, Time  0.253684
2021-09-23 02:03:34.043723 : Epoch 10, Batch    443, Loss  0.781273, Average Loss  0.770291, Time  0.249140
2021-09-23 02:03:35.322577 : Epoch 10, Batch    292, Loss  0.770147, Average Loss  0.770198, Time  0.260138
2021-09-23 02:03:35.935091 : Epoch 10, Batch    444, Loss  0.796259, Average Loss  0.770442, Time  0.251722
2021-09-23 02:03:37.238862 : Epoch 10, Batch    293, Loss  0.764773, Average Loss  0.770184, Time  0.258090
2021-09-23 02:03:37.831265 : Epoch 10, Batch    445, Loss  0.760446, Average Loss  0.770363, Time  0.250264
2021-09-23 02:03:39.136663 : Epoch 10, Batch    294, Loss  0.768047, Average Loss  0.770191, Time  0.251004
2021-09-23 02:03:39.720290 : Epoch 10, Batch    446, Loss  0.762813, Average Loss  0.770321, Time  0.255745
2021-09-23 02:03:41.046292 : Epoch 10, Batch    295, Loss  0.763181, Average Loss  0.770163, Time  0.253268
2021-09-23 02:03:41.612428 : Epoch 10, Batch    447, Loss  0.770278, Average Loss  0.770311, Time  0.250608
2021-09-23 02:03:42.962952 : Epoch 10, Batch    296, Loss  0.756118, Average Loss  0.770178, Time  0.263270
2021-09-23 02:03:43.509873 : Epoch 10, Batch    448, Loss  0.789841, Average Loss  0.770418, Time  0.257214
2021-09-23 02:03:44.870314 : Epoch 10, Batch    297, Loss  0.785375, Average Loss  0.770217, Time  0.257309
2021-09-23 02:03:45.420598 : Epoch 10, Batch    449, Loss  0.770634, Average Loss  0.770431, Time  0.248193
2021-09-23 02:03:46.769786 : Epoch 10, Batch    298, Loss  0.780144, Average Loss  0.770238, Time  0.256499
2021-09-23 02:03:47.313176 : Epoch 10, Batch    450, Loss  0.763676, Average Loss  0.770387, Time  0.253025
2021-09-23 02:03:48.679249 : Epoch 10, Batch    299, Loss  0.785588, Average Loss  0.770313, Time  0.250883
2021-09-23 02:03:49.194463 : Epoch 10, Batch    451, Loss  0.764721, Average Loss  0.770318, Time  0.248153
2021-09-23 02:03:50.574863 : Epoch 10, Batch    300, Loss  0.765151, Average Loss  0.770279, Time  0.253314
2021-09-23 02:03:51.060275 : Epoch 10, Batch    452, Loss  0.772590, Average Loss  0.770327, Time  0.249014
2021-09-23 02:03:52.498313 : Epoch 10, Batch    301, Loss  0.768815, Average Loss  0.770279, Time  0.260111
2021-09-23 02:03:52.934789 : Epoch 10, Batch    453, Loss  0.773732, Average Loss  0.770311, Time  0.253014
2021-09-23 02:03:54.413893 : Epoch 10, Batch    302, Loss  0.769465, Average Loss  0.770241, Time  0.251440
2021-09-23 02:03:54.784413 : Epoch 10, Batch    454, Loss  0.763582, Average Loss  0.770292, Time  0.250550
2021-09-23 02:03:56.315989 : Epoch 10, Batch    303, Loss  0.779612, Average Loss  0.770282, Time  0.251402
2021-09-23 02:03:56.660047 : Epoch 10, Batch    455, Loss  0.772838, Average Loss  0.770253, Time  0.250227
2021-09-23 02:03:58.215800 : Epoch 10, Batch    304, Loss  0.762991, Average Loss  0.770212, Time  0.253207
2021-09-23 02:03:58.541625 : Epoch 10, Batch    456, Loss  0.758908, Average Loss  0.770252, Time  0.251036
2021-09-23 02:04:00.125130 : Epoch 10, Batch    305, Loss  0.778123, Average Loss  0.770219, Time  0.258993
2021-09-23 02:04:00.421913 : Epoch 10, Batch    457, Loss  0.777815, Average Loss  0.770269, Time  0.253899
2021-09-23 02:04:02.027520 : Epoch 10, Batch    306, Loss  0.773879, Average Loss  0.770305, Time  0.253969
2021-09-23 02:04:02.322398 : Epoch 10, Batch    458, Loss  0.767398, Average Loss  0.770307, Time  0.252987
2021-09-23 02:04:03.946885 : Epoch 10, Batch    307, Loss  0.770951, Average Loss  0.770387, Time  0.253883
2021-09-23 02:04:04.211886 : Epoch 10, Batch    459, Loss  0.770163, Average Loss  0.770356, Time  0.256653
2021-09-23 02:04:05.835057 : Epoch 10, Batch    308, Loss  0.761292, Average Loss  0.770307, Time  0.252202
2021-09-23 02:04:06.110493 : Epoch 10, Batch    460, Loss  0.770192, Average Loss  0.770318, Time  0.248505
2021-09-23 02:04:07.745836 : Epoch 10, Batch    309, Loss  0.776976, Average Loss  0.770330, Time  0.256669
2021-09-23 02:04:07.983421 : Epoch 10, Batch    461, Loss  0.774790, Average Loss  0.770290, Time  0.251326
2021-09-23 02:04:09.645619 : Epoch 10, Batch    310, Loss  0.759372, Average Loss  0.770302, Time  0.254809
2021-09-23 02:04:09.881806 : Epoch 10, Batch    462, Loss  0.775862, Average Loss  0.770301, Time  0.270949
2021-09-23 02:04:11.546302 : Epoch 10, Batch    311, Loss  0.778332, Average Loss  0.770304, Time  0.253133
2021-09-23 02:04:11.766110 : Epoch 10, Batch    463, Loss  0.782232, Average Loss  0.770379, Time  0.264145
2021-09-23 02:04:13.543396 : Epoch 10, Batch    312, Loss  0.764990, Average Loss  0.770283, Time  0.356395
2021-09-23 02:04:13.690772 : Epoch 10, Batch    464, Loss  0.766263, Average Loss  0.770373, Time  0.306340
2021-09-23 02:04:15.602966 : Epoch 10, Batch    313, Loss  0.777973, Average Loss  0.770338, Time  0.414279
2021-09-23 02:04:15.700767 : Epoch 10, Batch    465, Loss  0.762638, Average Loss  0.770354, Time  0.377413
2021-09-23 02:04:17.764926 : Epoch 10, Batch    314, Loss  0.777782, Average Loss  0.770403, Time  0.499775
2021-09-23 02:04:17.799945 : Epoch 10, Batch    466, Loss  0.765445, Average Loss  0.770357, Time  0.452537
2021-09-23 02:04:19.911592 : Epoch 10, Batch    315, Loss  0.768619, Average Loss  0.770361, Time  0.520185
2021-09-23 02:04:19.939904 : Epoch 10, Batch    467, Loss  0.762308, Average Loss  0.770335, Time  0.501961
2021-09-23 02:04:22.107089 : Epoch 10, Batch    468, Loss  0.765782, Average Loss  0.770301, Time  0.518008
2021-09-23 02:04:22.139263 : Epoch 10, Batch    316, Loss  0.763005, Average Loss  0.770337, Time  0.517693
2021-09-23 02:04:24.217930 : Epoch 10, Batch    469, Loss  0.768743, Average Loss  0.770295, Time  0.489688
2021-09-23 02:04:24.254777 : Epoch 10, Batch    317, Loss  0.772643, Average Loss  0.770343, Time  0.455864
2021-09-23 02:04:26.096857 : Epoch 10, Batch    470, Loss  0.758632, Average Loss  0.770235, Time  0.251618
2021-09-23 02:04:28.000446 : Epoch 10, Batch    471, Loss  0.764631, Average Loss  0.770202, Time  0.261073
2021-09-23 02:04:29.889859 : Epoch 10, Batch    472, Loss  0.766413, Average Loss  0.770251, Time  0.250139
2021-09-23 02:04:31.779775 : Epoch 10, Batch    473, Loss  0.774356, Average Loss  0.770221, Time  0.256063
2021-09-23 02:04:33.668731 : Epoch 10, Batch    474, Loss  0.760223, Average Loss  0.770153, Time  0.248508
2021-09-23 02:04:35.551886 : Epoch 10, Batch    475, Loss  0.768866, Average Loss  0.770149, Time  0.257561
2021-09-23 02:04:36.548735 : CheckPoint: Validation Loss  0.00015054, Best Loss  0.00014643
2021-09-23 02:04:37.441302 : Epoch 10, Batch    476, Loss  0.783147, Average Loss  0.770263, Time  0.252557
2021-09-23 02:04:39.346888 : Epoch 10, Batch    477, Loss  0.777026, Average Loss  0.770293, Time  0.249139
2021-09-23 02:04:41.324573 : Epoch 10, Batch    478, Loss  0.769867, Average Loss  0.770303, Time  0.331499
2021-09-23 02:04:41.498727 : Epoch  5, Batch    189, Loss  0.875413, Average Loss  0.870640, Time  0.414689
2021-09-23 02:04:43.226881 : Epoch 10, Batch    479, Loss  0.773337, Average Loss  0.770318, Time  0.249163
2021-09-23 02:04:45.139919 : Epoch 10, Batch    480, Loss  0.771051, Average Loss  0.770317, Time  0.260589
2021-09-23 02:04:46.479996 : Epoch  5, Batch    190, Loss  0.890404, Average Loss  0.870750, Time  0.457000
2021-09-23 02:04:47.008744 : Epoch 10, Batch    481, Loss  0.779417, Average Loss  0.770356, Time  0.249498
2021-09-23 02:04:48.906186 : Epoch 10, Batch    482, Loss  0.757914, Average Loss  0.770229, Time  0.251104
2021-09-23 02:04:50.794317 : Epoch 10, Batch    483, Loss  0.773065, Average Loss  0.770239, Time  0.253587
2021-09-23 02:04:51.425878 : Epoch  5, Batch    191, Loss  0.863408, Average Loss  0.870799, Time  0.412890
2021-09-23 02:04:52.703858 : Epoch 10, Batch    484, Loss  0.761300, Average Loss  0.770192, Time  0.256718
2021-09-23 02:04:54.671437 : Epoch 10, Batch    485, Loss  0.762811, Average Loss  0.770212, Time  0.325182
2021-09-23 02:04:56.382244 : Epoch  5, Batch    192, Loss  0.860285, Average Loss  0.870786, Time  0.424155
2021-09-23 02:04:56.553301 : Epoch 10, Batch    486, Loss  0.771087, Average Loss  0.770200, Time  0.253734
2021-09-23 02:04:58.427017 : Epoch 10, Batch    487, Loss  0.775350, Average Loss  0.770230, Time  0.250666
2021-09-23 02:05:01.331952 : Epoch  5, Batch    193, Loss  0.870185, Average Loss  0.870749, Time  0.413296
2021-09-23 02:05:02.084074 : Epoch 10, Batch    488, Loss  0.762393, Average Loss  0.770130, Time  0.248949
2021-09-23 02:05:03.983890 : Epoch 10, Batch    489, Loss  0.784860, Average Loss  0.770223, Time  0.250146
2021-09-23 02:05:05.874353 : Epoch 10, Batch    490, Loss  0.769940, Average Loss  0.770256, Time  0.248826
2021-09-23 02:05:06.294860 : Epoch  5, Batch    194, Loss  0.868324, Average Loss  0.870749, Time  0.413695
2021-09-23 02:05:07.765043 : Epoch 10, Batch    491, Loss  0.771569, Average Loss  0.770264, Time  0.248690
2021-09-23 02:05:09.736073 : Epoch 10, Batch    492, Loss  0.759790, Average Loss  0.770249, Time  0.324071
2021-09-23 02:05:11.227731 : Epoch  5, Batch    195, Loss  0.882453, Average Loss  0.870823, Time  0.414052
2021-09-23 02:05:11.621627 : Epoch 10, Batch    493, Loss  0.786174, Average Loss  0.770362, Time  0.255395
2021-09-23 02:05:13.499834 : Epoch 10, Batch    494, Loss  0.774244, Average Loss  0.770401, Time  0.256931
2021-09-23 02:05:15.376944 : Epoch 10, Batch    495, Loss  0.770619, Average Loss  0.770500, Time  0.250716
2021-09-23 02:05:16.180801 : Epoch  5, Batch    196, Loss  0.869388, Average Loss  0.870820, Time  0.414434
2021-09-23 02:05:17.251884 : Epoch 10, Batch    496, Loss  0.766748, Average Loss  0.770498, Time  0.255580
2021-09-23 02:05:19.145916 : Epoch 10, Batch    497, Loss  0.773868, Average Loss  0.770523, Time  0.251305
2021-09-23 02:05:21.008366 : Epoch 10, Batch    498, Loss  0.767635, Average Loss  0.770575, Time  0.250193
2021-09-23 02:05:21.123868 : Epoch  5, Batch    197, Loss  0.861508, Average Loss  0.870792, Time  0.413687
2021-09-23 02:05:22.977760 : Epoch 10, Batch    499, Loss  0.786892, Average Loss  0.770695, Time  0.324808
2021-09-23 02:05:24.837434 : Epoch 10, Batch    500, Loss  0.770573, Average Loss  0.770659, Time  0.252763
2021-09-23 02:05:26.054748 : Epoch  5, Batch    198, Loss  0.880075, Average Loss  0.870809, Time  0.413299
2021-09-23 02:05:26.760197 : Epoch 10, Batch    501, Loss  0.776355, Average Loss  0.770712, Time  0.249887
2021-09-23 02:05:28.658373 : Epoch 10, Batch    502, Loss  0.758401, Average Loss  0.770653, Time  0.260934
2021-09-23 02:05:30.551781 : Epoch 10, Batch    503, Loss  0.763354, Average Loss  0.770624, Time  0.258422
2021-09-23 02:05:30.994869 : Epoch  5, Batch    199, Loss  0.857234, Average Loss  0.870824, Time  0.413785
2021-09-23 02:05:32.431466 : Epoch 10, Batch    504, Loss  0.771857, Average Loss  0.770562, Time  0.249056
2021-09-23 02:05:34.307657 : Epoch 10, Batch    505, Loss  0.768050, Average Loss  0.770532, Time  0.248732
2021-09-23 02:05:35.190093 : CheckPoint: Validation Loss  0.00032117, Best Loss  0.00030514
2021-09-23 02:05:35.986870 : Epoch  5, Batch    200, Loss  0.877079, Average Loss  0.870920, Time  0.460440
2021-09-23 02:05:36.200827 : Epoch 10, Batch    506, Loss  0.778103, Average Loss  0.770586, Time  0.250626
2021-09-23 02:05:37.092095 : Epoch 10, Batch    318, Loss  0.777506, Average Loss  0.770389, Time  0.252570
2021-09-23 02:05:38.078002 : Epoch 10, Batch    507, Loss  0.768512, Average Loss  0.770580, Time  0.250849
2021-09-23 02:05:39.003256 : Epoch 10, Batch    319, Loss  0.772006, Average Loss  0.770382, Time  0.251658
2021-09-23 02:05:39.943991 : Epoch 10, Batch    508, Loss  0.767612, Average Loss  0.770583, Time  0.255708
2021-09-23 02:05:40.909042 : Epoch 10, Batch    320, Loss  0.769727, Average Loss  0.770364, Time  0.257573
2021-09-23 02:05:40.939792 : Epoch  5, Batch    201, Loss  0.852941, Average Loss  0.870810, Time  0.413148
2021-09-23 02:05:41.812087 : Epoch 10, Batch    509, Loss  0.782008, Average Loss  0.770665, Time  0.249104
2021-09-23 02:05:42.798276 : Epoch 10, Batch    321, Loss  0.777433, Average Loss  0.770380, Time  0.253025
2021-09-23 02:05:43.685632 : Epoch 10, Batch    510, Loss  0.767152, Average Loss  0.770636, Time  0.248435
2021-09-23 02:05:44.713003 : Epoch 10, Batch    322, Loss  0.771764, Average Loss  0.770362, Time  0.255264
2021-09-23 02:05:45.569513 : Epoch 10, Batch    511, Loss  0.767057, Average Loss  0.770635, Time  0.249441
2021-09-23 02:05:45.871905 : Epoch  5, Batch    202, Loss  0.870862, Average Loss  0.870746, Time  0.413405
2021-09-23 02:05:46.609104 : Epoch 10, Batch    323, Loss  0.760864, Average Loss  0.770304, Time  0.255143
2021-09-23 02:05:47.442838 : Epoch 10, Batch    512, Loss  0.766472, Average Loss  0.770599, Time  0.248690
2021-09-23 02:05:48.542311 : Epoch 10, Batch    324, Loss  0.760777, Average Loss  0.770231, Time  0.252351
2021-09-23 02:05:49.345713 : Epoch 10, Batch    513, Loss  0.764652, Average Loss  0.770528, Time  0.261683
2021-09-23 02:05:50.439094 : Epoch 10, Batch    325, Loss  0.762285, Average Loss  0.770186, Time  0.252877
2021-09-23 02:05:50.800940 : Epoch  5, Batch    203, Loss  0.873947, Average Loss  0.870738, Time  0.413279
2021-09-23 02:05:51.233376 : Epoch 10, Batch    514, Loss  0.774804, Average Loss  0.770576, Time  0.256021
2021-09-23 02:05:52.340215 : Epoch 10, Batch    326, Loss  0.769174, Average Loss  0.770141, Time  0.254843
2021-09-23 02:05:53.106266 : Epoch 10, Batch    515, Loss  0.771681, Average Loss  0.770579, Time  0.256507
2021-09-23 02:05:54.255369 : Epoch 10, Batch    327, Loss  0.759848, Average Loss  0.770138, Time  0.251810
2021-09-23 02:05:54.989023 : Epoch 10, Batch    516, Loss  0.771593, Average Loss  0.770533, Time  0.249341
2021-09-23 02:05:55.719930 : Epoch  5, Batch    204, Loss  0.863237, Average Loss  0.870746, Time  0.413109
2021-09-23 02:05:56.211616 : Epoch 10, Batch    328, Loss  0.763062, Average Loss  0.770094, Time  0.252887
2021-09-23 02:05:56.880438 : Epoch 10, Batch    517, Loss  0.779184, Average Loss  0.770592, Time  0.248699
2021-09-23 02:05:58.112132 : Epoch 10, Batch    329, Loss  0.778314, Average Loss  0.770148, Time  0.261535
2021-09-23 02:06:00.029110 : Epoch 10, Batch    330, Loss  0.763825, Average Loss  0.770085, Time  0.252188
2021-09-23 02:06:00.677056 : Epoch  5, Batch    205, Loss  0.874886, Average Loss  0.870766, Time  0.414298
2021-09-23 02:06:01.938271 : Epoch 10, Batch    331, Loss  0.768483, Average Loss  0.770048, Time  0.251586
2021-09-23 02:06:03.915226 : Epoch 10, Batch    332, Loss  0.775869, Average Loss  0.770048, Time  0.321533
2021-09-23 02:06:05.627130 : Epoch  5, Batch    206, Loss  0.869341, Average Loss  0.870789, Time  0.413981
2021-09-23 02:06:05.826301 : Epoch 10, Batch    333, Loss  0.771276, Average Loss  0.770063, Time  0.253932
2021-09-23 02:06:07.745822 : Epoch 10, Batch    334, Loss  0.766475, Average Loss  0.770075, Time  0.260569
2021-09-23 02:06:09.643022 : Epoch 10, Batch    335, Loss  0.758063, Average Loss  0.770032, Time  0.252325
2021-09-23 02:06:10.565454 : Epoch  5, Batch    207, Loss  0.873363, Average Loss  0.870833, Time  0.414003
2021-09-23 02:06:11.563084 : Epoch 10, Batch    336, Loss  0.772393, Average Loss  0.770029, Time  0.251986
2021-09-23 02:06:13.468116 : Epoch 10, Batch    337, Loss  0.755963, Average Loss  0.769975, Time  0.253553
2021-09-23 02:06:15.446241 : Epoch 10, Batch    338, Loss  0.773363, Average Loss  0.769976, Time  0.325010
2021-09-23 02:06:15.521728 : Epoch  5, Batch    208, Loss  0.863469, Average Loss  0.870826, Time  0.414146
2021-09-23 02:06:17.357605 : Epoch 10, Batch    339, Loss  0.773243, Average Loss  0.770035, Time  0.266656
2021-09-23 02:06:19.287143 : Epoch 10, Batch    340, Loss  0.778113, Average Loss  0.770034, Time  0.258386
2021-09-23 02:06:20.512816 : Epoch  5, Batch    209, Loss  0.873358, Average Loss  0.870833, Time  0.461584
2021-09-23 02:06:21.198030 : Epoch 10, Batch    341, Loss  0.781181, Average Loss  0.770101, Time  0.251951
2021-09-23 02:06:23.110878 : Epoch 10, Batch    342, Loss  0.770884, Average Loss  0.770077, Time  0.253891
2021-09-23 02:06:25.035273 : Epoch 10, Batch    343, Loss  0.784636, Average Loss  0.770137, Time  0.265995
2021-09-23 02:06:25.444759 : Epoch  5, Batch    210, Loss  0.850637, Average Loss  0.870696, Time  0.412937
2021-09-23 02:06:27.024857 : Epoch 10, Batch    344, Loss  0.761067, Average Loss  0.770065, Time  0.347076
2021-09-23 02:06:28.912791 : Epoch 10, Batch    345, Loss  0.767240, Average Loss  0.770035, Time  0.251822
2021-09-23 02:06:30.394932 : Epoch  5, Batch    211, Loss  0.873014, Average Loss  0.870737, Time  0.413069
2021-09-23 02:06:30.833025 : Epoch 10, Batch    346, Loss  0.763759, Average Loss  0.769986, Time  0.252817
2021-09-23 02:06:32.738793 : Epoch 10, Batch    347, Loss  0.770359, Average Loss  0.770018, Time  0.251853
2021-09-23 02:06:34.637278 : Epoch 10, Batch    348, Loss  0.770862, Average Loss  0.770032, Time  0.252872
2021-09-23 02:06:35.342987 : Epoch  5, Batch    212, Loss  0.878013, Average Loss  0.870761, Time  0.413157
2021-09-23 02:06:36.542738 : Epoch 10, Batch    349, Loss  0.777202, Average Loss  0.770067, Time  0.253006
2021-09-23 02:06:38.537322 : Epoch 10, Batch    350, Loss  0.766723, Average Loss  0.770075, Time  0.326215
2021-09-23 02:06:40.304746 : Epoch  5, Batch    213, Loss  0.882257, Average Loss  0.870724, Time  0.419508
2021-09-23 02:06:40.466122 : Epoch 10, Batch    351, Loss  0.778991, Average Loss  0.770191, Time  0.261611
2021-09-23 02:06:42.382296 : Epoch 10, Batch    352, Loss  0.772170, Average Loss  0.770148, Time  0.251735
2021-09-23 02:06:44.285633 : Epoch 10, Batch    353, Loss  0.774310, Average Loss  0.770170, Time  0.254047
2021-09-23 02:06:45.266820 : Epoch  5, Batch    214, Loss  0.849781, Average Loss  0.870635, Time  0.413438
2021-09-23 02:06:46.226320 : Epoch 10, Batch    354, Loss  0.779969, Average Loss  0.770218, Time  0.251821
2021-09-23 02:06:48.149765 : Epoch 10, Batch    355, Loss  0.759009, Average Loss  0.770162, Time  0.252898
2021-09-23 02:06:50.152807 : Epoch 10, Batch    356, Loss  0.766338, Average Loss  0.770118, Time  0.332549
2021-09-23 02:06:50.213943 : Epoch  5, Batch    215, Loss  0.861497, Average Loss  0.870604, Time  0.413395
2021-09-23 02:06:52.070262 : Epoch 10, Batch    357, Loss  0.770333, Average Loss  0.770118, Time  0.256165
2021-09-23 02:06:53.992834 : Epoch 10, Batch    358, Loss  0.764814, Average Loss  0.770092, Time  0.256655
2021-09-23 02:06:55.182729 : Epoch  5, Batch    216, Loss  0.874155, Average Loss  0.870632, Time  0.423089
2021-09-23 02:06:55.910192 : Epoch 10, Batch    359, Loss  0.769424, Average Loss  0.770053, Time  0.252017
2021-09-23 02:06:57.814683 : Epoch 10, Batch    360, Loss  0.776871, Average Loss  0.770085, Time  0.252381
2021-09-23 02:06:59.706416 : Epoch 10, Batch    361, Loss  0.770789, Average Loss  0.770098, Time  0.252848
2021-09-23 02:07:00.139794 : Epoch  5, Batch    217, Loss  0.881372, Average Loss  0.870698, Time  0.414444
2021-09-23 02:07:01.686003 : Epoch 10, Batch    362, Loss  0.771573, Average Loss  0.770077, Time  0.326337
2021-09-23 02:07:03.594323 : Epoch 10, Batch    363, Loss  0.779454, Average Loss  0.770073, Time  0.252684
2021-09-23 02:07:05.188222 : Epoch  5, Batch    218, Loss  0.880430, Average Loss  0.870705, Time  0.461483
2021-09-23 02:07:05.487484 : Epoch 10, Batch    364, Loss  0.775823, Average Loss  0.770117, Time  0.251410
2021-09-23 02:07:07.094606 : CheckPoint: Validation Loss  0.00031251, Best Loss  0.00030606
2021-09-23 02:07:07.387495 : Epoch 10, Batch    365, Loss  0.764066, Average Loss  0.770163, Time  0.259982
2021-09-23 02:07:08.969507 : Epoch 10, Batch    518, Loss  0.777014, Average Loss  0.770613, Time  0.250996
2021-09-23 02:07:09.281543 : Epoch 10, Batch    366, Loss  0.770280, Average Loss  0.770184, Time  0.252407
2021-09-23 02:07:10.138136 : Epoch  5, Batch    219, Loss  0.862712, Average Loss  0.870655, Time  0.414124
2021-09-23 02:07:10.844084 : Epoch 10, Batch    519, Loss  0.763813, Average Loss  0.770538, Time  0.248748
2021-09-23 02:07:11.193305 : Epoch 10, Batch    367, Loss  0.767646, Average Loss  0.770190, Time  0.253381
2021-09-23 02:07:12.723857 : Epoch 10, Batch    520, Loss  0.760030, Average Loss  0.770482, Time  0.252477
2021-09-23 02:07:13.073507 : Epoch 10, Batch    368, Loss  0.775689, Average Loss  0.770216, Time  0.251546
2021-09-23 02:07:14.604328 : Epoch 10, Batch    521, Loss  0.768794, Average Loss  0.770509, Time  0.260763
2021-09-23 02:07:14.976669 : Epoch 10, Batch    369, Loss  0.777159, Average Loss  0.770277, Time  0.255947
2021-09-23 02:07:15.080896 : Epoch  5, Batch    220, Loss  0.863623, Average Loss  0.870651, Time  0.413272
2021-09-23 02:07:16.480497 : Epoch 10, Batch    522, Loss  0.764501, Average Loss  0.770489, Time  0.248568
2021-09-23 02:07:16.878433 : Epoch 10, Batch    370, Loss  0.775176, Average Loss  0.770345, Time  0.262149
2021-09-23 02:07:18.363332 : Epoch 10, Batch    523, Loss  0.767633, Average Loss  0.770452, Time  0.250964
2021-09-23 02:07:18.797154 : Epoch 10, Batch    371, Loss  0.795149, Average Loss  0.770457, Time  0.254467
2021-09-23 02:07:20.021932 : Epoch  5, Batch    221, Loss  0.870314, Average Loss  0.870715, Time  0.414581
2021-09-23 02:07:20.250035 : Epoch 10, Batch    524, Loss  0.773978, Average Loss  0.770519, Time  0.256206
2021-09-23 02:07:20.696784 : Epoch 10, Batch    372, Loss  0.767965, Average Loss  0.770440, Time  0.260474
2021-09-23 02:07:22.110260 : Epoch 10, Batch    525, Loss  0.773747, Average Loss  0.770480, Time  0.248415
2021-09-23 02:07:22.608873 : Epoch 10, Batch    373, Loss  0.760245, Average Loss  0.770401, Time  0.258878
2021-09-23 02:07:24.000796 : Epoch 10, Batch    526, Loss  0.773715, Average Loss  0.770513, Time  0.248384
2021-09-23 02:07:24.520940 : Epoch 10, Batch    374, Loss  0.771978, Average Loss  0.770476, Time  0.256264
2021-09-23 02:07:24.981779 : Epoch  5, Batch    222, Loss  0.873226, Average Loss  0.870715, Time  0.413663
2021-09-23 02:07:25.871997 : Epoch 10, Batch    527, Loss  0.765509, Average Loss  0.770446, Time  0.248875
2021-09-23 02:07:26.454201 : Epoch 10, Batch    375, Loss  0.769255, Average Loss  0.770516, Time  0.251917
2021-09-23 02:07:27.758305 : Epoch 10, Batch    528, Loss  0.776900, Average Loss  0.770527, Time  0.248490
2021-09-23 02:07:28.380003 : Epoch 10, Batch    376, Loss  0.783797, Average Loss  0.770590, Time  0.253039
2021-09-23 02:07:29.655113 : Epoch 10, Batch    529, Loss  0.767618, Average Loss  0.770584, Time  0.251533
2021-09-23 02:07:29.915731 : Epoch  5, Batch    223, Loss  0.877355, Average Loss  0.870790, Time  0.413354
2021-09-23 02:07:30.308928 : Epoch 10, Batch    377, Loss  0.757724, Average Loss  0.770513, Time  0.254225
2021-09-23 02:07:31.543079 : Epoch 10, Batch    530, Loss  0.764594, Average Loss  0.770507, Time  0.251526
2021-09-23 02:07:32.235218 : Epoch 10, Batch    378, Loss  0.763411, Average Loss  0.770458, Time  0.251056
2021-09-23 02:07:33.437217 : Epoch 10, Batch    531, Loss  0.779289, Average Loss  0.770675, Time  0.247826
2021-09-23 02:07:34.174279 : Epoch 10, Batch    379, Loss  0.763641, Average Loss  0.770440, Time  0.253606
2021-09-23 02:07:34.852741 : Epoch  5, Batch    224, Loss  0.879319, Average Loss  0.870857, Time  0.413329
2021-09-23 02:07:35.321255 : Epoch 10, Batch    532, Loss  0.765927, Average Loss  0.770668, Time  0.253125
2021-09-23 02:07:36.094531 : Epoch 10, Batch    380, Loss  0.774682, Average Loss  0.770514, Time  0.251827
2021-09-23 02:07:37.182228 : Epoch 10, Batch    533, Loss  0.754851, Average Loss  0.770565, Time  0.252532
2021-09-23 02:07:38.001123 : Epoch 10, Batch    381, Loss  0.768642, Average Loss  0.770509, Time  0.252182
2021-09-23 02:07:39.057914 : Epoch 10, Batch    534, Loss  0.781201, Average Loss  0.770651, Time  0.249890
2021-09-23 02:07:39.792726 : Epoch  5, Batch    225, Loss  0.869165, Average Loss  0.870888, Time  0.413115
2021-09-23 02:07:39.914019 : Epoch 10, Batch    382, Loss  0.774992, Average Loss  0.770476, Time  0.252085
2021-09-23 02:07:40.930868 : Epoch 10, Batch    535, Loss  0.777475, Average Loss  0.770659, Time  0.249060
2021-09-23 02:07:41.807228 : Epoch 10, Batch    383, Loss  0.760366, Average Loss  0.770469, Time  0.255810
2021-09-23 02:07:42.815317 : Epoch 10, Batch    536, Loss  0.762143, Average Loss  0.770587, Time  0.250630
2021-09-23 02:07:43.721917 : Epoch 10, Batch    384, Loss  0.760337, Average Loss  0.770426, Time  0.252334
2021-09-23 02:07:44.690188 : Epoch 10, Batch    537, Loss  0.767873, Average Loss  0.770612, Time  0.248323
2021-09-23 02:07:44.744752 : Epoch  5, Batch    226, Loss  0.880821, Average Loss  0.871011, Time  0.413247
2021-09-23 02:07:45.642649 : Epoch 10, Batch    385, Loss  0.768906, Average Loss  0.770323, Time  0.253120
2021-09-23 02:07:46.566075 : Epoch 10, Batch    538, Loss  0.773498, Average Loss  0.770594, Time  0.254073
2021-09-23 02:07:47.543723 : Epoch 10, Batch    386, Loss  0.768030, Average Loss  0.770299, Time  0.256345
2021-09-23 02:07:48.450060 : Epoch 10, Batch    539, Loss  0.772002, Average Loss  0.770604, Time  0.250531
2021-09-23 02:07:49.455340 : Epoch 10, Batch    387, Loss  0.766134, Average Loss  0.770281, Time  0.251593
2021-09-23 02:07:49.688916 : Epoch  5, Batch    227, Loss  0.875846, Average Loss  0.871076, Time  0.413200
2021-09-23 02:07:50.378143 : Epoch 10, Batch    540, Loss  0.781043, Average Loss  0.770649, Time  0.254514
2021-09-23 02:07:52.262396 : Epoch 10, Batch    541, Loss  0.765660, Average Loss  0.770576, Time  0.248728
2021-09-23 02:07:53.162604 : Epoch 10, Batch    388, Loss  0.775471, Average Loss  0.770313, Time  0.253988
2021-09-23 02:07:54.136301 : Epoch 10, Batch    542, Loss  0.763412, Average Loss  0.770565, Time  0.249038
2021-09-23 02:07:54.697042 : Epoch  5, Batch    228, Loss  0.861539, Average Loss  0.870992, Time  0.467946
2021-09-23 02:07:55.096226 : Epoch 10, Batch    389, Loss  0.767751, Average Loss  0.770249, Time  0.253742
2021-09-23 02:07:56.019828 : Epoch 10, Batch    543, Loss  0.775398, Average Loss  0.770557, Time  0.250245
2021-09-23 02:07:57.027332 : Epoch 10, Batch    390, Loss  0.755598, Average Loss  0.770186, Time  0.254642
2021-09-23 02:07:57.906458 : Epoch 10, Batch    544, Loss  0.779739, Average Loss  0.770575, Time  0.248906
2021-09-23 02:07:58.924427 : Epoch 10, Batch    391, Loss  0.748656, Average Loss  0.770084, Time  0.251481
2021-09-23 02:07:59.651990 : Epoch  5, Batch    229, Loss  0.875322, Average Loss  0.871071, Time  0.415837
2021-09-23 02:07:59.785035 : Epoch 10, Batch    545, Loss  0.772560, Average Loss  0.770567, Time  0.249252
2021-09-23 02:08:00.846607 : Epoch 10, Batch    392, Loss  0.760656, Average Loss  0.770081, Time  0.255320
2021-09-23 02:08:01.660653 : Epoch 10, Batch    546, Loss  0.769501, Average Loss  0.770589, Time  0.250188
2021-09-23 02:08:02.790637 : Epoch 10, Batch    393, Loss  0.763722, Average Loss  0.770013, Time  0.261705
2021-09-23 02:08:03.536839 : Epoch 10, Batch    547, Loss  0.775472, Average Loss  0.770638, Time  0.250418
2021-09-23 02:08:04.602185 : Epoch  5, Batch    230, Loss  0.856797, Average Loss  0.871017, Time  0.414473
2021-09-23 02:08:04.708276 : Epoch 10, Batch    394, Loss  0.770867, Average Loss  0.770011, Time  0.253654
2021-09-23 02:08:05.415797 : Epoch 10, Batch    548, Loss  0.760807, Average Loss  0.770594, Time  0.252983
2021-09-23 02:08:06.617833 : Epoch 10, Batch    395, Loss  0.781818, Average Loss  0.770051, Time  0.257283
2021-09-23 02:08:07.308893 : Epoch 10, Batch    549, Loss  0.772334, Average Loss  0.770594, Time  0.256253
2021-09-23 02:08:08.541266 : Epoch 10, Batch    396, Loss  0.774363, Average Loss  0.770040, Time  0.252924
2021-09-23 02:08:09.183817 : Epoch 10, Batch    550, Loss  0.791473, Average Loss  0.770726, Time  0.250117
2021-09-23 02:08:09.567816 : Epoch  5, Batch    231, Loss  0.877263, Average Loss  0.870947, Time  0.415043
2021-09-23 02:08:10.441771 : Epoch 10, Batch    397, Loss  0.774370, Average Loss  0.770054, Time  0.252483
2021-09-23 02:08:11.056449 : Epoch 10, Batch    551, Loss  0.761450, Average Loss  0.770719, Time  0.249774
2021-09-23 02:08:12.343653 : Epoch 10, Batch    398, Loss  0.761867, Average Loss  0.770016, Time  0.250635
2021-09-23 02:08:12.933963 : Epoch 10, Batch    552, Loss  0.774357, Average Loss  0.770770, Time  0.252402
2021-09-23 02:08:13.224776 : Epoch  5, Batch    232, Loss  0.873560, Average Loss  0.870881, Time  0.318038
2021-09-23 02:08:14.237232 : Epoch 10, Batch    399, Loss  0.772441, Average Loss  0.770018, Time  0.261139
2021-09-23 02:08:14.808225 : Epoch 10, Batch    553, Loss  0.762662, Average Loss  0.770701, Time  0.251468
2021-09-23 02:08:16.140951 : Epoch 10, Batch    400, Loss  0.779357, Average Loss  0.770111, Time  0.253275
2021-09-23 02:08:16.713494 : Epoch 10, Batch    554, Loss  0.756178, Average Loss  0.770628, Time  0.254467
2021-09-23 02:08:18.031506 : Epoch 10, Batch    401, Loss  0.782569, Average Loss  0.770219, Time  0.250999
2021-09-23 02:08:18.167129 : Epoch  5, Batch    233, Loss  0.862819, Average Loss  0.870807, Time  0.413529
2021-09-23 02:08:18.610853 : Epoch 10, Batch    555, Loss  0.769058, Average Loss  0.770606, Time  0.251945
2021-09-23 02:08:19.953379 : Epoch 10, Batch    402, Loss  0.779527, Average Loss  0.770302, Time  0.253316
2021-09-23 02:08:20.483118 : Epoch 10, Batch    556, Loss  0.755307, Average Loss  0.770499, Time  0.248872
2021-09-23 02:08:21.869653 : Epoch 10, Batch    403, Loss  0.776652, Average Loss  0.770362, Time  0.252027
2021-09-23 02:08:22.360067 : Epoch 10, Batch    557, Loss  0.766646, Average Loss  0.770533, Time  0.250983
2021-09-23 02:08:23.106936 : Epoch  5, Batch    234, Loss  0.866090, Average Loss  0.870777, Time  0.414011
2021-09-23 02:08:23.771382 : Epoch 10, Batch    404, Loss  0.769446, Average Loss  0.770364, Time  0.253941
2021-09-23 02:08:24.231921 : Epoch 10, Batch    558, Loss  0.764644, Average Loss  0.770490, Time  0.249124
2021-09-23 02:08:25.668873 : Epoch 10, Batch    405, Loss  0.769232, Average Loss  0.770392, Time  0.253277
2021-09-23 02:08:26.094027 : Epoch 10, Batch    559, Loss  0.777315, Average Loss  0.770474, Time  0.250677
2021-09-23 02:08:27.566908 : Epoch 10, Batch    406, Loss  0.776015, Average Loss  0.770359, Time  0.253412
2021-09-23 02:08:27.977155 : Epoch 10, Batch    560, Loss  0.770358, Average Loss  0.770555, Time  0.248870
2021-09-23 02:08:28.063753 : Epoch  5, Batch    235, Loss  0.864667, Average Loss  0.870721, Time  0.413833
2021-09-23 02:08:29.487937 : Epoch 10, Batch    407, Loss  0.763565, Average Loss  0.770329, Time  0.253525
2021-09-23 02:08:29.851738 : Epoch 10, Batch    561, Loss  0.764415, Average Loss  0.770513, Time  0.249336
2021-09-23 02:08:31.428312 : Epoch 10, Batch    408, Loss  0.761614, Average Loss  0.770264, Time  0.251975
2021-09-23 02:08:31.724784 : Epoch 10, Batch    562, Loss  0.762407, Average Loss  0.770437, Time  0.248184
2021-09-23 02:08:33.020811 : Epoch  5, Batch    236, Loss  0.883305, Average Loss  0.870733, Time  0.413260
2021-09-23 02:08:33.328408 : Epoch 10, Batch    409, Loss  0.769360, Average Loss  0.770257, Time  0.251724
2021-09-23 02:08:33.610803 : Epoch 10, Batch    563, Loss  0.758418, Average Loss  0.770366, Time  0.250854
2021-09-23 02:08:35.212872 : Epoch 10, Batch    410, Loss  0.772112, Average Loss  0.770233, Time  0.252937
2021-09-23 02:08:35.511453 : Epoch 10, Batch    564, Loss  0.767637, Average Loss  0.770343, Time  0.253735
2021-09-23 02:08:37.150384 : Epoch 10, Batch    411, Loss  0.774172, Average Loss  0.770169, Time  0.255610
2021-09-23 02:08:37.381019 : Epoch 10, Batch    565, Loss  0.754125, Average Loss  0.770252, Time  0.260608
2021-09-23 02:08:37.962895 : Epoch  5, Batch    237, Loss  0.863979, Average Loss  0.870698, Time  0.414834
2021-09-23 02:08:39.158610 : Epoch 10, Batch    412, Loss  0.762246, Average Loss  0.770117, Time  0.347760
2021-09-23 02:08:39.301449 : Epoch 10, Batch    566, Loss  0.768883, Average Loss  0.770224, Time  0.308602
2021-09-23 02:08:41.277937 : Epoch 10, Batch    413, Loss  0.762813, Average Loss  0.770055, Time  0.463811
2021-09-23 02:08:41.332025 : Epoch 10, Batch    567, Loss  0.772955, Average Loss  0.770258, Time  0.421262
2021-09-23 02:08:42.944971 : Epoch  5, Batch    238, Loss  0.891722, Average Loss  0.870884, Time  0.459056
2021-09-23 02:08:43.467842 : Epoch 10, Batch    414, Loss  0.772031, Average Loss  0.770113, Time  0.523034
2021-09-23 02:08:43.513536 : Epoch 10, Batch    568, Loss  0.763925, Average Loss  0.770273, Time  0.522361
2021-09-23 02:08:45.628123 : Epoch 10, Batch    415, Loss  0.771294, Average Loss  0.770122, Time  0.514753
2021-09-23 02:08:45.659881 : Epoch 10, Batch    569, Loss  0.772970, Average Loss  0.770306, Time  0.501485
2021-09-23 02:08:47.823865 : Epoch 10, Batch    570, Loss  0.772128, Average Loss  0.770278, Time  0.514149
2021-09-23 02:08:47.858312 : Epoch 10, Batch    416, Loss  0.759703, Average Loss  0.770110, Time  0.508047
2021-09-23 02:08:47.892899 : Epoch  5, Batch    239, Loss  0.846781, Average Loss  0.870764, Time  0.413501
2021-09-23 02:08:49.949417 : Epoch 10, Batch    571, Loss  0.769935, Average Loss  0.770311, Time  0.497435
2021-09-23 02:08:49.981056 : Epoch 10, Batch    417, Loss  0.775367, Average Loss  0.770129, Time  0.467333
2021-09-23 02:08:51.842459 : Epoch 10, Batch    572, Loss  0.761579, Average Loss  0.770289, Time  0.248989
2021-09-23 02:08:52.829932 : Epoch  5, Batch    240, Loss  0.882054, Average Loss  0.870847, Time  0.413291
2021-09-23 02:08:53.715567 : Epoch 10, Batch    573, Loss  0.779201, Average Loss  0.770318, Time  0.255439
2021-09-23 02:08:55.605320 : Epoch 10, Batch    574, Loss  0.762527, Average Loss  0.770279, Time  0.256600
2021-09-23 02:08:57.493693 : Epoch 10, Batch    575, Loss  0.768266, Average Loss  0.770193, Time  0.250415
2021-09-23 02:08:57.771294 : Epoch  5, Batch    241, Loss  0.875504, Average Loss  0.870844, Time  0.413367
2021-09-23 02:08:59.373059 : Epoch 10, Batch    576, Loss  0.768159, Average Loss  0.770212, Time  0.253567
2021-09-23 02:09:01.250881 : Epoch 10, Batch    577, Loss  0.774952, Average Loss  0.770246, Time  0.251164
2021-09-23 02:09:02.709768 : Epoch  5, Batch    242, Loss  0.881056, Average Loss  0.870872, Time  0.413435
2021-09-23 02:09:03.127799 : Epoch 10, Batch    578, Loss  0.765723, Average Loss  0.770243, Time  0.248211
2021-09-23 02:09:04.993495 : Epoch 10, Batch    579, Loss  0.755235, Average Loss  0.770118, Time  0.254535
2021-09-23 02:09:06.933972 : Epoch 10, Batch    580, Loss  0.763685, Average Loss  0.770074, Time  0.323319
2021-09-23 02:09:07.666748 : Epoch  5, Batch    243, Loss  0.875598, Average Loss  0.870933, Time  0.413877
2021-09-23 02:09:08.807300 : Epoch 10, Batch    581, Loss  0.774903, Average Loss  0.770149, Time  0.248768
2021-09-23 02:09:10.694271 : Epoch 10, Batch    582, Loss  0.766602, Average Loss  0.770156, Time  0.259689
2021-09-23 02:09:12.560275 : Epoch 10, Batch    583, Loss  0.765105, Average Loss  0.770182, Time  0.251320
2021-09-23 02:09:12.625921 : Epoch  5, Batch    244, Loss  0.862380, Average Loss  0.870850, Time  0.415666
2021-09-23 02:09:14.428197 : Epoch 10, Batch    584, Loss  0.768489, Average Loss  0.770214, Time  0.247992
2021-09-23 02:09:16.302276 : Epoch 10, Batch    585, Loss  0.768814, Average Loss  0.770172, Time  0.257180
2021-09-23 02:09:17.558849 : Epoch  5, Batch    245, Loss  0.867634, Average Loss  0.870785, Time  0.414612
2021-09-23 02:09:18.176466 : Epoch 10, Batch    586, Loss  0.774128, Average Loss  0.770124, Time  0.248658
2021-09-23 02:09:20.079075 : Epoch 10, Batch    587, Loss  0.771944, Average Loss  0.770107, Time  0.250657
2021-09-23 02:09:22.507937 : Epoch  5, Batch    246, Loss  0.875879, Average Loss  0.870785, Time  0.413750
2021-09-23 02:09:23.741609 : Epoch 10, Batch    588, Loss  0.770677, Average Loss  0.770103, Time  0.249947
2021-09-23 02:09:25.614522 : Epoch 10, Batch    589, Loss  0.777212, Average Loss  0.770168, Time  0.248705
2021-09-23 02:09:27.489204 : Epoch 10, Batch    590, Loss  0.769675, Average Loss  0.770134, Time  0.247800
2021-09-23 02:09:27.499873 : Epoch  5, Batch    247, Loss  0.869816, Average Loss  0.870784, Time  0.455817
2021-09-23 02:09:29.414284 : Epoch 10, Batch    591, Loss  0.760347, Average Loss  0.770087, Time  0.257627
2021-09-23 02:09:31.293426 : Epoch 10, Batch    592, Loss  0.772004, Average Loss  0.770098, Time  0.250023
2021-09-23 02:09:32.453970 : Epoch  5, Batch    248, Loss  0.863519, Average Loss  0.870728, Time  0.413460
2021-09-23 02:09:33.173273 : Epoch 10, Batch    593, Loss  0.774911, Average Loss  0.770115, Time  0.254583
2021-09-23 02:09:35.043837 : Epoch 10, Batch    594, Loss  0.773393, Average Loss  0.770034, Time  0.249292
2021-09-23 02:09:36.998319 : Epoch 10, Batch    595, Loss  0.777734, Average Loss  0.770102, Time  0.324524
2021-09-23 02:09:37.410764 : Epoch  5, Batch    249, Loss  0.867169, Average Loss  0.870746, Time  0.413731
2021-09-23 02:09:38.863107 : Epoch 10, Batch    596, Loss  0.771013, Average Loss  0.770143, Time  0.249577
2021-09-23 02:09:40.742630 : Epoch 10, Batch    597, Loss  0.779107, Average Loss  0.770228, Time  0.249891
2021-09-23 02:09:42.345103 : Epoch  5, Batch    250, Loss  0.865472, Average Loss  0.870749, Time  0.413227
2021-09-23 02:09:42.627326 : Epoch 10, Batch    598, Loss  0.755278, Average Loss  0.770192, Time  0.257763
2021-09-23 02:09:44.510868 : Epoch 10, Batch    599, Loss  0.772959, Average Loss  0.770208, Time  0.248737
2021-09-23 02:09:46.384205 : Epoch 10, Batch    600, Loss  0.758326, Average Loss  0.770179, Time  0.253044
2021-09-23 02:09:47.306871 : Epoch  5, Batch    251, Loss  0.869694, Average Loss  0.870755, Time  0.413361
2021-09-23 02:09:48.267755 : Epoch 10, Batch    601, Loss  0.779613, Average Loss  0.770255, Time  0.255252
2021-09-23 02:09:50.153452 : Epoch 10, Batch    602, Loss  0.776403, Average Loss  0.770295, Time  0.250540
2021-09-23 02:09:52.126712 : Epoch 10, Batch    603, Loss  0.770330, Average Loss  0.770293, Time  0.338269
2021-09-23 02:09:52.250819 : Epoch  5, Batch    252, Loss  0.877739, Average Loss  0.870763, Time  0.413440
2021-09-23 02:09:54.002878 : Epoch 10, Batch    604, Loss  0.767970, Average Loss  0.770236, Time  0.251123
2021-09-23 02:09:55.905887 : Epoch 10, Batch    605, Loss  0.771809, Average Loss  0.770280, Time  0.252184
2021-09-23 02:09:57.223001 : Epoch  5, Batch    253, Loss  0.876945, Average Loss  0.870761, Time  0.413126
2021-09-23 02:09:57.778613 : Epoch 10, Batch    606, Loss  0.758011, Average Loss  0.770254, Time  0.250457
2021-09-23 02:09:59.662199 : Epoch 10, Batch    607, Loss  0.780895, Average Loss  0.770260, Time  0.249104
2021-09-23 02:10:00.912482 : CheckPoint: Validation Loss  0.00032927, Best Loss  0.00030514
2021-09-23 02:10:01.529520 : Epoch 10, Batch    608, Loss  0.789656, Average Loss  0.770350, Time  0.248558
2021-09-23 02:10:02.208865 : Epoch  5, Batch    254, Loss  0.865350, Average Loss  0.870744, Time  0.413838
2021-09-23 02:10:03.042824 : Epoch 10, Batch    418, Loss  0.771552, Average Loss  0.770082, Time  0.253393
2021-09-23 02:10:03.419609 : Epoch 10, Batch    609, Loss  0.766055, Average Loss  0.770314, Time  0.249430
2021-09-23 02:10:04.969252 : Epoch 10, Batch    419, Loss  0.776335, Average Loss  0.770065, Time  0.260643
2021-09-23 02:10:05.302969 : Epoch 10, Batch    610, Loss  0.762446, Average Loss  0.770240, Time  0.251862
2021-09-23 02:10:07.159726 : Epoch  5, Batch    255, Loss  0.875975, Average Loss  0.870749, Time  0.413603
2021-09-23 02:10:07.286988 : Epoch 10, Batch    420, Loss  0.766426, Average Loss  0.770007, Time  0.431463
2021-09-23 02:10:07.365864 : Epoch 10, Batch    611, Loss  0.767614, Average Loss  0.770251, Time  0.393158
2021-09-23 02:10:09.447496 : Epoch 10, Batch    421, Loss  0.765855, Average Loss  0.769946, Time  0.496948
2021-09-23 02:10:09.484053 : Epoch 10, Batch    612, Loss  0.770660, Average Loss  0.770291, Time  0.476974
2021-09-23 02:10:11.633071 : Epoch 10, Batch    422, Loss  0.775505, Average Loss  0.769915, Time  0.522505
2021-09-23 02:10:11.633241 : Epoch 10, Batch    613, Loss  0.769927, Average Loss  0.770310, Time  0.517081
2021-09-23 02:10:12.162378 : Epoch  5, Batch    256, Loss  0.884742, Average Loss  0.870853, Time  0.462487
2021-09-23 02:10:13.793967 : Epoch 10, Batch    614, Loss  0.767289, Average Loss  0.770256, Time  0.494968
2021-09-23 02:10:13.834333 : Epoch 10, Batch    423, Loss  0.775901, Average Loss  0.769983, Time  0.517620
2021-09-23 02:10:15.869475 : Epoch 10, Batch    615, Loss  0.775384, Average Loss  0.770226, Time  0.454440
2021-09-23 02:10:15.930322 : Epoch 10, Batch    424, Loss  0.767353, Average Loss  0.769933, Time  0.425362
2021-09-23 02:10:17.098734 : Epoch  5, Batch    257, Loss  0.863335, Average Loss  0.870846, Time  0.414235
2021-09-23 02:10:17.941654 : Epoch 10, Batch    616, Loss  0.768364, Average Loss  0.770175, Time  0.454327
2021-09-23 02:10:18.000299 : Epoch 10, Batch    425, Loss  0.783197, Average Loss  0.769998, Time  0.422315
2021-09-23 02:10:20.028173 : Epoch 10, Batch    617, Loss  0.770813, Average Loss  0.770184, Time  0.457446
2021-09-23 02:10:20.091236 : Epoch 10, Batch    426, Loss  0.768608, Average Loss  0.770087, Time  0.424299
2021-09-23 02:10:22.015124 : Epoch 10, Batch    427, Loss  0.765420, Average Loss  0.770066, Time  0.251418
2021-09-23 02:10:22.108971 : Epoch  5, Batch    258, Loss  0.874071, Average Loss  0.870854, Time  0.414203
2021-09-23 02:10:23.922163 : Epoch 10, Batch    428, Loss  0.774673, Average Loss  0.770142, Time  0.251680
2021-09-23 02:10:25.838326 : Epoch 10, Batch    429, Loss  0.776389, Average Loss  0.770179, Time  0.255476
2021-09-23 02:10:27.091953 : Epoch  5, Batch    259, Loss  0.861858, Average Loss  0.870735, Time  0.413416
2021-09-23 02:10:27.739254 : Epoch 10, Batch    430, Loss  0.770562, Average Loss  0.770208, Time  0.255025
2021-09-23 02:10:29.638334 : Epoch 10, Batch    431, Loss  0.784345, Average Loss  0.770325, Time  0.257399
2021-09-23 02:10:31.565905 : Epoch 10, Batch    432, Loss  0.769187, Average Loss  0.770371, Time  0.254341
2021-09-23 02:10:32.091064 : Epoch  5, Batch    260, Loss  0.871010, Average Loss  0.870811, Time  0.413530
2021-09-23 02:10:33.566074 : Epoch 10, Batch    433, Loss  0.762020, Average Loss  0.770337, Time  0.326177
2021-09-23 02:10:35.486423 : Epoch 10, Batch    434, Loss  0.774715, Average Loss  0.770327, Time  0.253605
2021-09-23 02:10:37.085754 : Epoch  5, Batch    261, Loss  0.857583, Average Loss  0.870767, Time  0.414079
2021-09-23 02:10:37.399322 : Epoch 10, Batch    435, Loss  0.765540, Average Loss  0.770307, Time  0.251530
2021-09-23 02:10:39.308222 : Epoch 10, Batch    436, Loss  0.771386, Average Loss  0.770315, Time  0.253367
2021-09-23 02:10:41.221916 : Epoch 10, Batch    437, Loss  0.771374, Average Loss  0.770292, Time  0.255890
2021-09-23 02:10:42.113894 : Epoch  5, Batch    262, Loss  0.852049, Average Loss  0.870677, Time  0.413257
2021-09-23 02:10:43.143959 : Epoch 10, Batch    438, Loss  0.770085, Average Loss  0.770340, Time  0.251526
2021-09-23 02:10:45.140297 : Epoch 10, Batch    439, Loss  0.769512, Average Loss  0.770313, Time  0.336029
2021-09-23 02:10:47.047025 : Epoch 10, Batch    440, Loss  0.768500, Average Loss  0.770263, Time  0.251593
2021-09-23 02:10:47.109765 : Epoch  5, Batch    263, Loss  0.873465, Average Loss  0.870704, Time  0.413395
2021-09-23 02:10:48.964805 : Epoch 10, Batch    441, Loss  0.776355, Average Loss  0.770280, Time  0.253246
2021-09-23 02:10:50.900837 : Epoch 10, Batch    442, Loss  0.764548, Average Loss  0.770278, Time  0.261763
2021-09-23 02:10:52.098325 : Epoch  5, Batch    264, Loss  0.863325, Average Loss  0.870543, Time  0.412728
2021-09-23 02:10:52.816043 : Epoch 10, Batch    443, Loss  0.770080, Average Loss  0.770259, Time  0.252950
2021-09-23 02:10:54.718797 : Epoch 10, Batch    444, Loss  0.762665, Average Loss  0.770180, Time  0.251501
2021-09-23 02:10:56.691896 : Epoch 10, Batch    445, Loss  0.766362, Average Loss  0.770122, Time  0.330028
2021-09-23 02:10:57.089860 : Epoch  5, Batch    265, Loss  0.876314, Average Loss  0.870532, Time  0.413968
2021-09-23 02:10:58.629998 : Epoch 10, Batch    446, Loss  0.775031, Average Loss  0.770192, Time  0.254228
2021-09-23 02:11:00.524861 : Epoch 10, Batch    447, Loss  0.768773, Average Loss  0.770144, Time  0.251748
2021-09-23 02:11:02.191863 : Epoch  5, Batch    266, Loss  0.867645, Average Loss  0.870570, Time  0.462258
2021-09-23 02:11:02.469710 : Epoch 10, Batch    448, Loss  0.772677, Average Loss  0.770209, Time  0.255558
2021-09-23 02:11:04.403975 : Epoch 10, Batch    449, Loss  0.769847, Average Loss  0.770258, Time  0.273268
2021-09-23 02:11:06.361226 : Epoch 10, Batch    450, Loss  0.754753, Average Loss  0.770165, Time  0.253761
2021-09-23 02:11:07.175897 : Epoch  5, Batch    267, Loss  0.875406, Average Loss  0.870651, Time  0.413353
2021-09-23 02:11:08.298298 : Epoch 10, Batch    451, Loss  0.777749, Average Loss  0.770258, Time  0.256229
2021-09-23 02:11:10.199292 : Epoch 10, Batch    452, Loss  0.775591, Average Loss  0.770282, Time  0.251306
2021-09-23 02:11:12.130450 : Epoch 10, Batch    453, Loss  0.778042, Average Loss  0.770276, Time  0.252146
2021-09-23 02:11:12.184892 : Epoch  5, Batch    268, Loss  0.870454, Average Loss  0.870706, Time  0.413337
2021-09-23 02:11:14.046813 : Epoch 10, Batch    454, Loss  0.783214, Average Loss  0.770388, Time  0.253218
2021-09-23 02:11:15.944305 : Epoch 10, Batch    455, Loss  0.759730, Average Loss  0.770314, Time  0.253255
2021-09-23 02:11:17.203916 : Epoch  5, Batch    269, Loss  0.853446, Average Loss  0.870614, Time  0.417490
2021-09-23 02:11:17.938398 : Epoch 10, Batch    456, Loss  0.765446, Average Loss  0.770323, Time  0.336189
2021-09-23 02:11:19.825219 : Epoch 10, Batch    457, Loss  0.768867, Average Loss  0.770250, Time  0.251268
2021-09-23 02:11:21.712817 : Epoch 10, Batch    458, Loss  0.773591, Average Loss  0.770341, Time  0.252453
2021-09-23 02:11:22.213581 : Epoch  5, Batch    270, Loss  0.868499, Average Loss  0.870595, Time  0.413694
2021-09-23 02:11:23.616470 : Epoch 10, Batch    459, Loss  0.763248, Average Loss  0.770262, Time  0.253286
2021-09-23 02:11:25.515920 : Epoch 10, Batch    460, Loss  0.772902, Average Loss  0.770264, Time  0.251264
2021-09-23 02:11:27.247956 : Epoch  5, Batch    271, Loss  0.863478, Average Loss  0.870539, Time  0.414064
2021-09-23 02:11:27.432218 : Epoch 10, Batch    461, Loss  0.781082, Average Loss  0.770336, Time  0.252939
2021-09-23 02:11:29.316869 : Epoch 10, Batch    462, Loss  0.767260, Average Loss  0.770310, Time  0.253579
2021-09-23 02:11:29.970711 : CheckPoint: Validation Loss  0.00031644, Best Loss  0.00030606
2021-09-23 02:11:31.221120 : Epoch 10, Batch    463, Loss  0.771223, Average Loss  0.770308, Time  0.251429
2021-09-23 02:11:31.838805 : Epoch 10, Batch    618, Loss  0.770779, Average Loss  0.770198, Time  0.252253
2021-09-23 02:11:32.278999 : Epoch  5, Batch    272, Loss  0.888437, Average Loss  0.870609, Time  0.414737
2021-09-23 02:11:33.133114 : Epoch 10, Batch    464, Loss  0.780762, Average Loss  0.770374, Time  0.251289
2021-09-23 02:11:33.718211 : Epoch 10, Batch    619, Loss  0.765974, Average Loss  0.770160, Time  0.250055
2021-09-23 02:11:35.050960 : Epoch 10, Batch    465, Loss  0.764755, Average Loss  0.770262, Time  0.251860
2021-09-23 02:11:35.603109 : Epoch 10, Batch    620, Loss  0.777730, Average Loss  0.770188, Time  0.254735
2021-09-23 02:11:36.989955 : Epoch 10, Batch    466, Loss  0.764291, Average Loss  0.770257, Time  0.256611
2021-09-23 02:11:37.268752 : Epoch  5, Batch    273, Loss  0.879595, Average Loss  0.870579, Time  0.413015
2021-09-23 02:11:37.476200 : Epoch 10, Batch    621, Loss  0.769645, Average Loss  0.770180, Time  0.253350
2021-09-23 02:11:38.918596 : Epoch 10, Batch    467, Loss  0.769909, Average Loss  0.770278, Time  0.252036
2021-09-23 02:11:39.349810 : Epoch 10, Batch    622, Loss  0.772670, Average Loss  0.770185, Time  0.252959
2021-09-23 02:11:40.824293 : Epoch 10, Batch    468, Loss  0.766191, Average Loss  0.770315, Time  0.255917
2021-09-23 02:11:41.215293 : Epoch 10, Batch    623, Loss  0.770879, Average Loss  0.770185, Time  0.249204
2021-09-23 02:11:42.247443 : Epoch  5, Batch    274, Loss  0.867243, Average Loss  0.870571, Time  0.413589
2021-09-23 02:11:42.739954 : Epoch 10, Batch    469, Loss  0.777336, Average Loss  0.770389, Time  0.253582
2021-09-23 02:11:43.090839 : Epoch 10, Batch    624, Loss  0.764954, Average Loss  0.770204, Time  0.251688
2021-09-23 02:11:44.630406 : Epoch 10, Batch    470, Loss  0.773339, Average Loss  0.770395, Time  0.251224
2021-09-23 02:11:45.131735 : Epoch 10, Batch    625, Loss  0.777397, Average Loss  0.770221, Time  0.291780
2021-09-23 02:11:46.534833 : Epoch 10, Batch    471, Loss  0.770749, Average Loss  0.770446, Time  0.251217
2021-09-23 02:11:46.996706 : Epoch 10, Batch    626, Loss  0.772008, Average Loss  0.770221, Time  0.252887
2021-09-23 02:11:47.287101 : Epoch  5, Batch    275, Loss  0.868453, Average Loss  0.870554, Time  0.452250
2021-09-23 02:11:48.445148 : Epoch 10, Batch    472, Loss  0.769915, Average Loss  0.770466, Time  0.252620
2021-09-23 02:11:48.891893 : Epoch 10, Batch    627, Loss  0.771029, Average Loss  0.770216, Time  0.278396
2021-09-23 02:11:50.360539 : Epoch 10, Batch    473, Loss  0.771252, Average Loss  0.770501, Time  0.257461
2021-09-23 02:11:50.752789 : Epoch 10, Batch    628, Loss  0.765268, Average Loss  0.770167, Time  0.250933
2021-09-23 02:11:52.266701 : Epoch  5, Batch    276, Loss  0.861247, Average Loss  0.870507, Time  0.413250
2021-09-23 02:11:52.287086 : Epoch 10, Batch    474, Loss  0.766542, Average Loss  0.770440, Time  0.254587
2021-09-23 02:11:52.628243 : Epoch 10, Batch    629, Loss  0.763031, Average Loss  0.770125, Time  0.249724
2021-09-23 02:11:54.213188 : Epoch 10, Batch    475, Loss  0.752722, Average Loss  0.770332, Time  0.256852
2021-09-23 02:11:54.491889 : Epoch 10, Batch    630, Loss  0.769503, Average Loss  0.770103, Time  0.252595
2021-09-23 02:11:56.125897 : Epoch 10, Batch    476, Loss  0.762940, Average Loss  0.770261, Time  0.255568
2021-09-23 02:11:56.376335 : Epoch 10, Batch    631, Loss  0.774618, Average Loss  0.770047, Time  0.257947
2021-09-23 02:11:57.252755 : Epoch  5, Batch    277, Loss  0.865908, Average Loss  0.870453, Time  0.413149
2021-09-23 02:11:58.124599 : Epoch 10, Batch    477, Loss  0.775186, Average Loss  0.770229, Time  0.330484
2021-09-23 02:11:58.288705 : Epoch 10, Batch    632, Loss  0.772619, Average Loss  0.770070, Time  0.301790
2021-09-23 02:12:00.215891 : Epoch 10, Batch    478, Loss  0.774465, Average Loss  0.770223, Time  0.421473
2021-09-23 02:12:00.301715 : Epoch 10, Batch    633, Loss  0.778189, Average Loss  0.770107, Time  0.383909
2021-09-23 02:12:02.251958 : Epoch  5, Batch    278, Loss  0.874790, Average Loss  0.870478, Time  0.412957
2021-09-23 02:12:02.372619 : Epoch 10, Batch    479, Loss  0.769881, Average Loss  0.770258, Time  0.500860
2021-09-23 02:12:02.395132 : Epoch 10, Batch    634, Loss  0.776781, Average Loss  0.770129, Time  0.474858
2021-09-23 02:12:04.525105 : Epoch 10, Batch    480, Loss  0.770881, Average Loss  0.770211, Time  0.515231
2021-09-23 02:12:04.553009 : Epoch 10, Batch    635, Loss  0.778972, Average Loss  0.770171, Time  0.494746
2021-09-23 02:12:06.671981 : Epoch 10, Batch    481, Loss  0.768208, Average Loss  0.770178, Time  0.517876
2021-09-23 02:12:06.704274 : Epoch 10, Batch    636, Loss  0.767944, Average Loss  0.770136, Time  0.496786
2021-09-23 02:12:07.256759 : Epoch  5, Batch    279, Loss  0.873575, Average Loss  0.870476, Time  0.413242
2021-09-23 02:12:08.836653 : Epoch 10, Batch    482, Loss  0.773233, Average Loss  0.770239, Time  0.518573
2021-09-23 02:12:08.865119 : Epoch 10, Batch    637, Loss  0.763916, Average Loss  0.770073, Time  0.514531
2021-09-23 02:12:10.999606 : Epoch 10, Batch    638, Loss  0.782001, Average Loss  0.770148, Time  0.507007
2021-09-23 02:12:11.036335 : Epoch 10, Batch    483, Loss  0.764273, Average Loss  0.770242, Time  0.487084
2021-09-23 02:12:12.250080 : Epoch  5, Batch    280, Loss  0.873596, Average Loss  0.870538, Time  0.413361
2021-09-23 02:12:13.101415 : Epoch 10, Batch    639, Loss  0.767136, Average Loss  0.770159, Time  0.490530
2021-09-23 02:12:13.137888 : Epoch 10, Batch    484, Loss  0.774193, Average Loss  0.770278, Time  0.466070
2021-09-23 02:12:15.184237 : Epoch 10, Batch    640, Loss  0.780408, Average Loss  0.770249, Time  0.469159
2021-09-23 02:12:15.235226 : Epoch 10, Batch    485, Loss  0.766703, Average Loss  0.770235, Time  0.437596
2021-09-23 02:12:17.280653 : Epoch 10, Batch    641, Loss  0.774428, Average Loss  0.770216, Time  0.475990
2021-09-23 02:12:17.326191 : Epoch 10, Batch    486, Loss  0.770163, Average Loss  0.770238, Time  0.438215
2021-09-23 02:12:17.362854 : Epoch  5, Batch    281, Loss  0.864151, Average Loss  0.870448, Time  0.414209
2021-09-23 02:12:19.363374 : Epoch 10, Batch    642, Loss  0.765305, Average Loss  0.770178, Time  0.465634
2021-09-23 02:12:19.416910 : Epoch 10, Batch    487, Loss  0.775006, Average Loss  0.770281, Time  0.434442
2021-09-23 02:12:21.241900 : Epoch 10, Batch    643, Loss  0.773746, Average Loss  0.770140, Time  0.248887
2021-09-23 02:12:22.371877 : Epoch  5, Batch    282, Loss  0.860945, Average Loss  0.870438, Time  0.413511
2021-09-23 02:12:23.381123 : Epoch 10, Batch    488, Loss  0.761807, Average Loss  0.770289, Time  0.515745
2021-09-23 02:12:23.381774 : Epoch 10, Batch    644, Loss  0.779905, Average Loss  0.770058, Time  0.487828
2021-09-23 02:12:25.534018 : Epoch 10, Batch    645, Loss  0.770396, Average Loss  0.770108, Time  0.497210
2021-09-23 02:12:25.568641 : Epoch 10, Batch    489, Loss  0.760309, Average Loss  0.770280, Time  0.471425
2021-09-23 02:12:27.361088 : Epoch  5, Batch    283, Loss  0.875803, Average Loss  0.870458, Time  0.414308
2021-09-23 02:12:27.654080 : Epoch 10, Batch    646, Loss  0.758268, Average Loss  0.770085, Time  0.483925
2021-09-23 02:12:27.699114 : Epoch 10, Batch    490, Loss  0.771928, Average Loss  0.770229, Time  0.456993
2021-09-23 02:12:29.697748 : Epoch 10, Batch    647, Loss  0.784699, Average Loss  0.770157, Time  0.434381
2021-09-23 02:12:29.780938 : Epoch 10, Batch    491, Loss  0.764285, Average Loss  0.770158, Time  0.407027
2021-09-23 02:12:31.742840 : Epoch 10, Batch    648, Loss  0.773580, Average Loss  0.770076, Time  0.411125
2021-09-23 02:12:31.842169 : Epoch 10, Batch    492, Loss  0.767602, Average Loss  0.770145, Time  0.383338
2021-09-23 02:12:32.446987 : Epoch  5, Batch    284, Loss  0.867885, Average Loss  0.870420, Time  0.453053
2021-09-23 02:12:33.791915 : Epoch 10, Batch    649, Loss  0.777736, Average Loss  0.770112, Time  0.410628
2021-09-23 02:12:33.889825 : Epoch 10, Batch    493, Loss  0.763195, Average Loss  0.770137, Time  0.386649
2021-09-23 02:12:35.855211 : Epoch 10, Batch    650, Loss  0.764155, Average Loss  0.770114, Time  0.434111
2021-09-23 02:12:35.938249 : Epoch 10, Batch    494, Loss  0.775249, Average Loss  0.770173, Time  0.397761
2021-09-23 02:12:37.450806 : Epoch  5, Batch    285, Loss  0.854501, Average Loss  0.870343, Time  0.414221
2021-09-23 02:12:37.932321 : Epoch 10, Batch    651, Loss  0.761365, Average Loss  0.770097, Time  0.443775
2021-09-23 02:12:38.004208 : Epoch 10, Batch    495, Loss  0.771896, Average Loss  0.770217, Time  0.402965
2021-09-23 02:12:40.018072 : Epoch 10, Batch    652, Loss  0.771548, Average Loss  0.770092, Time  0.439604
2021-09-23 02:12:40.093076 : Epoch 10, Batch    496, Loss  0.760919, Average Loss  0.770241, Time  0.409274
2021-09-23 02:12:42.055095 : Epoch 10, Batch    653, Loss  0.762869, Average Loss  0.770038, Time  0.412997
2021-09-23 02:12:42.145875 : Epoch 10, Batch    497, Loss  0.776670, Average Loss  0.770197, Time  0.378573
2021-09-23 02:12:42.445983 : Epoch  5, Batch    286, Loss  0.877698, Average Loss  0.870380, Time  0.413453
2021-09-23 02:12:44.140907 : Epoch 10, Batch    654, Loss  0.765232, Average Loss  0.770046, Time  0.445689
2021-09-23 02:12:44.215898 : Epoch 10, Batch    498, Loss  0.769579, Average Loss  0.770145, Time  0.413653
2021-09-23 02:12:46.165330 : Epoch 10, Batch    655, Loss  0.769720, Average Loss  0.770030, Time  0.403505
2021-09-23 02:12:46.269362 : Epoch 10, Batch    499, Loss  0.760424, Average Loss  0.770019, Time  0.376046
2021-09-23 02:12:47.452880 : Epoch  5, Batch    287, Loss  0.871093, Average Loss  0.870383, Time  0.413659
2021-09-23 02:12:48.186703 : Epoch 10, Batch    656, Loss  0.775164, Average Loss  0.770112, Time  0.387895
2021-09-23 02:12:48.298948 : Epoch 10, Batch    500, Loss  0.768998, Average Loss  0.770038, Time  0.358703
2021-09-23 02:12:50.188628 : Epoch 10, Batch    657, Loss  0.774704, Average Loss  0.770096, Time  0.379326
2021-09-23 02:12:50.311009 : Epoch 10, Batch    501, Loss  0.771398, Average Loss  0.770051, Time  0.351043
2021-09-23 02:12:52.229981 : Epoch 10, Batch    658, Loss  0.766483, Average Loss  0.770091, Time  0.400137
2021-09-23 02:12:52.340889 : Epoch 10, Batch    502, Loss  0.778771, Average Loss  0.770097, Time  0.362865
2021-09-23 02:12:54.298185 : Epoch 10, Batch    659, Loss  0.765251, Average Loss  0.770067, Time  0.421295
2021-09-23 02:12:54.394324 : Epoch 10, Batch    503, Loss  0.762494, Average Loss  0.770012, Time  0.393329
2021-09-23 02:12:56.374881 : Epoch 10, Batch    660, Loss  0.759512, Average Loss  0.770013, Time  0.427284
2021-09-23 02:12:56.461611 : Epoch 10, Batch    504, Loss  0.771456, Average Loss  0.770054, Time  0.400593
2021-09-23 02:12:58.442377 : Epoch 10, Batch    661, Loss  0.759835, Average Loss  0.769939, Time  0.425606
2021-09-23 02:12:58.527675 : Epoch 10, Batch    505, Loss  0.766413, Average Loss  0.769996, Time  0.395778
2021-09-23 02:13:00.491797 : Epoch 10, Batch    662, Loss  0.768718, Average Loss  0.769903, Time  0.414804
2021-09-23 02:13:00.581625 : Epoch 10, Batch    506, Loss  0.762576, Average Loss  0.769939, Time  0.386268
2021-09-23 02:13:01.141851 : Epoch  5, Batch    288, Loss  0.867092, Average Loss  0.870384, Time  0.413742
2021-09-23 02:13:02.502790 : Epoch 10, Batch    663, Loss  0.763213, Average Loss  0.769808, Time  0.398289
2021-09-23 02:13:02.607755 : Epoch 10, Batch    507, Loss  0.777976, Average Loss  0.769974, Time  0.363846
2021-09-23 02:13:04.479126 : Epoch 10, Batch    664, Loss  0.770467, Average Loss  0.769829, Time  0.367992
2021-09-23 02:13:04.608765 : Epoch 10, Batch    508, Loss  0.768937, Average Loss  0.770012, Time  0.338086
2021-09-23 02:13:06.496579 : Epoch 10, Batch    665, Loss  0.774460, Average Loss  0.769888, Time  0.375162
2021-09-23 02:13:06.618104 : Epoch 10, Batch    509, Loss  0.761741, Average Loss  0.769936, Time  0.346331
2021-09-23 02:13:08.480645 : Epoch 10, Batch    666, Loss  0.777657, Average Loss  0.769949, Time  0.355974
2021-09-23 02:13:08.618498 : Epoch 10, Batch    510, Loss  0.761986, Average Loss  0.769949, Time  0.325656
2021-09-23 02:13:10.447844 : Epoch 10, Batch    667, Loss  0.762496, Average Loss  0.769950, Time  0.352099
2021-09-23 02:13:10.601206 : Epoch 10, Batch    511, Loss  0.767218, Average Loss  0.769894, Time  0.330988
2021-09-23 02:13:12.414874 : Epoch 10, Batch    668, Loss  0.759690, Average Loss  0.769920, Time  0.329885
2021-09-23 02:13:12.564887 : Epoch 10, Batch    512, Loss  0.764997, Average Loss  0.769894, Time  0.307084
2021-09-23 02:13:14.315973 : Epoch 10, Batch    669, Loss  0.764604, Average Loss  0.769899, Time  0.283793
2021-09-23 02:13:14.508080 : Epoch 10, Batch    513, Loss  0.765900, Average Loss  0.769833, Time  0.275953
2021-09-23 02:13:16.226807 : Epoch 10, Batch    670, Loss  0.770745, Average Loss  0.769959, Time  0.248996
2021-09-23 02:13:16.457096 : Epoch 10, Batch    514, Loss  0.769099, Average Loss  0.769790, Time  0.264162
2021-09-23 02:13:18.109474 : Epoch 10, Batch    671, Loss  0.757479, Average Loss  0.769924, Time  0.251938
2021-09-23 02:13:18.368554 : Epoch 10, Batch    515, Loss  0.774178, Average Loss  0.769818, Time  0.255112
2021-09-23 02:13:19.986956 : Epoch 10, Batch    672, Loss  0.770167, Average Loss  0.769942, Time  0.251343
2021-09-23 02:13:20.305246 : Epoch 10, Batch    516, Loss  0.764982, Average Loss  0.769828, Time  0.264576
2021-09-23 02:13:21.860195 : Epoch 10, Batch    673, Loss  0.772359, Average Loss  0.769932, Time  0.250209
2021-09-23 02:13:22.227870 : Epoch 10, Batch    517, Loss  0.758649, Average Loss  0.769758, Time  0.255877
2021-09-23 02:13:23.751985 : Epoch 10, Batch    674, Loss  0.755697, Average Loss  0.769910, Time  0.255166
2021-09-23 02:13:25.639921 : Epoch 10, Batch    675, Loss  0.761830, Average Loss  0.769875, Time  0.255178
2021-09-23 02:13:27.596267 : Epoch 10, Batch    676, Loss  0.763962, Average Loss  0.769779, Time  0.326800
2021-09-23 02:13:29.478960 : Epoch 10, Batch    677, Loss  0.769661, Average Loss  0.769742, Time  0.257717
2021-09-23 02:13:31.377683 : Epoch 10, Batch    678, Loss  0.761786, Average Loss  0.769701, Time  0.250012
2021-09-23 02:13:33.248769 : Epoch 10, Batch    679, Loss  0.769745, Average Loss  0.769683, Time  0.250400
2021-09-23 02:13:35.138308 : Epoch 10, Batch    680, Loss  0.769515, Average Loss  0.769676, Time  0.250001
2021-09-23 02:13:37.004017 : Epoch 10, Batch    681, Loss  0.767791, Average Loss  0.769618, Time  0.248847
2021-09-23 02:13:38.882025 : Epoch 10, Batch    682, Loss  0.768021, Average Loss  0.769668, Time  0.254095
2021-09-23 02:13:40.752272 : Epoch 10, Batch    683, Loss  0.774186, Average Loss  0.769674, Time  0.250127
2021-09-23 02:13:42.721757 : Epoch 10, Batch    684, Loss  0.759227, Average Loss  0.769663, Time  0.331590
2021-09-23 02:13:44.597295 : Epoch 10, Batch    685, Loss  0.781623, Average Loss  0.769758, Time  0.250525
2021-09-23 02:13:46.472876 : Epoch 10, Batch    686, Loss  0.772745, Average Loss  0.769766, Time  0.257843
2021-09-23 02:13:48.348010 : Epoch 10, Batch    687, Loss  0.772689, Average Loss  0.769752, Time  0.248270
2021-09-23 02:13:52.068127 : Epoch 10, Batch    688, Loss  0.763091, Average Loss  0.769756, Time  0.263096
2021-09-23 02:13:53.966576 : Epoch 10, Batch    689, Loss  0.767640, Average Loss  0.769670, Time  0.253469
2021-09-23 02:13:55.853435 : Epoch 10, Batch    690, Loss  0.761447, Average Loss  0.769627, Time  0.249330
2021-09-23 02:13:57.831704 : Epoch 10, Batch    691, Loss  0.767995, Average Loss  0.769610, Time  0.331204
2021-09-23 02:13:59.746076 : Epoch 10, Batch    692, Loss  0.769100, Average Loss  0.769656, Time  0.250560
2021-09-23 02:14:01.622141 : Epoch 10, Batch    693, Loss  0.767025, Average Loss  0.769560, Time  0.248743
2021-09-23 02:14:03.531865 : Epoch 10, Batch    694, Loss  0.779706, Average Loss  0.769588, Time  0.256807
2021-09-23 02:14:05.423771 : Epoch 10, Batch    695, Loss  0.781703, Average Loss  0.769643, Time  0.251341
2021-09-23 02:14:07.300492 : Epoch 10, Batch    696, Loss  0.772919, Average Loss  0.769674, Time  0.253945
2021-09-23 02:14:09.193398 : Epoch 10, Batch    697, Loss  0.769451, Average Loss  0.769652, Time  0.252874
2021-09-23 02:14:11.141232 : Epoch 10, Batch    698, Loss  0.767217, Average Loss  0.769650, Time  0.324739
2021-09-23 02:14:13.028619 : Epoch 10, Batch    699, Loss  0.772718, Average Loss  0.769579, Time  0.254751
2021-09-23 02:14:14.926955 : Epoch 10, Batch    700, Loss  0.774797, Average Loss  0.769600, Time  0.260593
2021-09-23 02:14:16.837677 : Epoch 10, Batch    701, Loss  0.769351, Average Loss  0.769565, Time  0.250723
2021-09-23 02:14:18.732640 : Epoch 10, Batch    702, Loss  0.779364, Average Loss  0.769670, Time  0.255394
2021-09-23 02:14:20.607946 : Epoch 10, Batch    703, Loss  0.777420, Average Loss  0.769740, Time  0.254085
2021-09-23 02:14:22.477071 : Epoch 10, Batch    704, Loss  0.762808, Average Loss  0.769695, Time  0.248783
2021-09-23 02:14:24.378293 : Epoch 10, Batch    705, Loss  0.761396, Average Loss  0.769662, Time  0.249887
2021-09-23 02:14:26.340750 : Epoch 10, Batch    706, Loss  0.768810, Average Loss  0.769615, Time  0.326549
2021-09-23 02:14:28.204374 : Epoch 10, Batch    707, Loss  0.763775, Average Loss  0.769591, Time  0.250112
2021-09-23 02:14:30.092887 : Epoch 10, Batch    708, Loss  0.768948, Average Loss  0.769598, Time  0.251653
2021-09-23 02:14:31.985906 : Epoch 10, Batch    709, Loss  0.776774, Average Loss  0.769572, Time  0.251098
2021-09-23 02:14:33.439204 : CheckPoint: Validation Loss  0.00032099, Best Loss  0.00030514
2021-09-23 02:14:33.839919 : Epoch 10, Batch    710, Loss  0.771219, Average Loss  0.769592, Time  0.248375
2021-09-23 02:14:35.356999 : Epoch 10, Batch    518, Loss  0.766294, Average Loss  0.769702, Time  0.253897
2021-09-23 02:14:35.710184 : Epoch 10, Batch    711, Loss  0.773019, Average Loss  0.769622, Time  0.249914
2021-09-23 02:14:37.259279 : Epoch 10, Batch    519, Loss  0.786037, Average Loss  0.769772, Time  0.251181
2021-09-23 02:14:37.581811 : Epoch 10, Batch    712, Loss  0.781331, Average Loss  0.769696, Time  0.256537
2021-09-23 02:14:39.208212 : Epoch 10, Batch    520, Loss  0.766106, Average Loss  0.769754, Time  0.262713
2021-09-23 02:14:39.470610 : Epoch 10, Batch    713, Loss  0.774835, Average Loss  0.769747, Time  0.248399
2021-09-23 02:14:41.181282 : Epoch 10, Batch    521, Loss  0.782619, Average Loss  0.769780, Time  0.296412
2021-09-23 02:14:41.378195 : Epoch 10, Batch    714, Loss  0.760574, Average Loss  0.769676, Time  0.286372
2021-09-23 02:14:43.223806 : Epoch 10, Batch    522, Loss  0.788821, Average Loss  0.769865, Time  0.381256
2021-09-23 02:14:43.342816 : Epoch 10, Batch    715, Loss  0.774604, Average Loss  0.769691, Time  0.344364
2021-09-23 02:14:45.354261 : Epoch 10, Batch    523, Loss  0.767953, Average Loss  0.769900, Time  0.479743
2021-09-23 02:14:45.414554 : Epoch 10, Batch    716, Loss  0.764315, Average Loss  0.769654, Time  0.454202
2021-09-23 02:14:47.527720 : Epoch 10, Batch    524, Loss  0.765426, Average Loss  0.769924, Time  0.513631
2021-09-23 02:14:47.562417 : Epoch 10, Batch    717, Loss  0.772400, Average Loss  0.769621, Time  0.503389
2021-09-23 02:14:49.435464 : Epoch 10, Batch    525, Loss  0.780682, Average Loss  0.770016, Time  0.254591
2021-09-23 02:14:51.352162 : Epoch 10, Batch    526, Loss  0.766337, Average Loss  0.770001, Time  0.258237
2021-09-23 02:14:53.267852 : Epoch 10, Batch    527, Loss  0.772618, Average Loss  0.770065, Time  0.253678
2021-09-23 02:14:55.202929 : Epoch 10, Batch    528, Loss  0.777257, Average Loss  0.770136, Time  0.255311
2021-09-23 02:14:57.123925 : Epoch 10, Batch    529, Loss  0.775564, Average Loss  0.770122, Time  0.254148
2021-09-23 02:14:59.021263 : Epoch 10, Batch    530, Loss  0.767466, Average Loss  0.770141, Time  0.256900
2021-09-23 02:15:00.941089 : Epoch 10, Batch    531, Loss  0.761406, Average Loss  0.770105, Time  0.251371
2021-09-23 02:15:02.881293 : Epoch 10, Batch    532, Loss  0.755923, Average Loss  0.770006, Time  0.277179
2021-09-23 02:15:04.802796 : Epoch 10, Batch    533, Loss  0.765761, Average Loss  0.769978, Time  0.255135
2021-09-23 02:15:06.717144 : Epoch 10, Batch    534, Loss  0.773226, Average Loss  0.770012, Time  0.252378
2021-09-23 02:15:08.649401 : Epoch 10, Batch    535, Loss  0.771600, Average Loss  0.770079, Time  0.255789
2021-09-23 02:15:10.562245 : Epoch 10, Batch    536, Loss  0.765309, Average Loss  0.770044, Time  0.256339
2021-09-23 02:15:12.593964 : Epoch 10, Batch    537, Loss  0.776112, Average Loss  0.770145, Time  0.331747
2021-09-23 02:15:14.509316 : Epoch 10, Batch    538, Loss  0.770625, Average Loss  0.770131, Time  0.259585
2021-09-23 02:15:16.421001 : Epoch 10, Batch    539, Loss  0.770178, Average Loss  0.770116, Time  0.257793
2021-09-23 02:15:18.323375 : Epoch 10, Batch    540, Loss  0.773873, Average Loss  0.770095, Time  0.251585
2021-09-23 02:15:20.242203 : Epoch 10, Batch    541, Loss  0.775844, Average Loss  0.770068, Time  0.250993
2021-09-23 02:15:22.143081 : Epoch 10, Batch    542, Loss  0.762041, Average Loss  0.770024, Time  0.251562
2021-09-23 02:15:24.047487 : Epoch 10, Batch    543, Loss  0.769637, Average Loss  0.769949, Time  0.253547
2021-09-23 02:15:25.963381 : Epoch 10, Batch    544, Loss  0.770063, Average Loss  0.769994, Time  0.259881
2021-09-23 02:15:27.872244 : Epoch 10, Batch    545, Loss  0.761902, Average Loss  0.769967, Time  0.251931
2021-09-23 02:15:29.783429 : Epoch 10, Batch    546, Loss  0.765522, Average Loss  0.769976, Time  0.252868
2021-09-23 02:15:31.712180 : Epoch 10, Batch    547, Loss  0.770665, Average Loss  0.769977, Time  0.253926
2021-09-23 02:15:33.619297 : Epoch 10, Batch    548, Loss  0.768666, Average Loss  0.769966, Time  0.251712
2021-09-23 02:15:35.511169 : Epoch 10, Batch    549, Loss  0.773373, Average Loss  0.769947, Time  0.251142
2021-09-23 02:15:37.501209 : Epoch 10, Batch    550, Loss  0.781692, Average Loss  0.770022, Time  0.323177
2021-09-23 02:15:39.403383 : Epoch 10, Batch    551, Loss  0.771459, Average Loss  0.769984, Time  0.256374
2021-09-23 02:15:41.307682 : Epoch 10, Batch    552, Loss  0.771466, Average Loss  0.769981, Time  0.251879
2021-09-23 02:15:43.220229 : Epoch 10, Batch    553, Loss  0.781542, Average Loss  0.770017, Time  0.251720
2021-09-23 02:15:45.136802 : Epoch 10, Batch    554, Loss  0.771280, Average Loss  0.769973, Time  0.256497
2021-09-23 02:15:47.061227 : Epoch 10, Batch    555, Loss  0.765422, Average Loss  0.770006, Time  0.259103
2021-09-23 02:15:49.071695 : Epoch 10, Batch    556, Loss  0.783130, Average Loss  0.770090, Time  0.330253
2021-09-23 02:15:50.993803 : Epoch 10, Batch    557, Loss  0.775445, Average Loss  0.770115, Time  0.267638
2021-09-23 02:15:52.897676 : Epoch 10, Batch    558, Loss  0.778084, Average Loss  0.770181, Time  0.257229
2021-09-23 02:15:54.809830 : Epoch 10, Batch    559, Loss  0.768620, Average Loss  0.770177, Time  0.257529
2021-09-23 02:15:56.719290 : Epoch 10, Batch    560, Loss  0.767433, Average Loss  0.770130, Time  0.253786
2021-09-23 02:15:57.703966 : CheckPoint: Validation Loss  0.00031353, Best Loss  0.00030606
2021-09-23 02:15:58.617660 : Epoch 10, Batch    561, Loss  0.770442, Average Loss  0.770128, Time  0.251688
2021-09-23 02:15:59.571120 : Epoch 10, Batch    718, Loss  0.775691, Average Loss  0.769614, Time  0.250544
2021-09-23 02:16:00.524293 : Epoch 10, Batch    562, Loss  0.767188, Average Loss  0.770107, Time  0.258114
2021-09-23 02:16:01.440921 : Epoch 10, Batch    719, Loss  0.777231, Average Loss  0.769681, Time  0.248012
2021-09-23 02:16:02.431955 : Epoch 10, Batch    563, Loss  0.775225, Average Loss  0.770085, Time  0.253185
2021-09-23 02:16:03.343827 : Epoch 10, Batch    720, Loss  0.765241, Average Loss  0.769707, Time  0.250881
2021-09-23 02:16:04.349779 : Epoch 10, Batch    564, Loss  0.751309, Average Loss  0.769963, Time  0.251213
2021-09-23 02:16:05.277431 : Epoch 10, Batch    721, Loss  0.778315, Average Loss  0.769755, Time  0.250273
2021-09-23 02:16:06.289217 : Epoch 10, Batch    565, Loss  0.776302, Average Loss  0.770024, Time  0.259431
2021-09-23 02:16:07.166145 : Epoch 10, Batch    722, Loss  0.762774, Average Loss  0.769746, Time  0.258932
2021-09-23 02:16:08.218289 : Epoch 10, Batch    566, Loss  0.779126, Average Loss  0.770068, Time  0.255831
2021-09-23 02:16:09.036869 : Epoch 10, Batch    723, Loss  0.764618, Average Loss  0.769731, Time  0.250543
2021-09-23 02:16:10.154109 : Epoch 10, Batch    567, Loss  0.770900, Average Loss  0.770085, Time  0.252929
2021-09-23 02:16:10.953246 : Epoch 10, Batch    724, Loss  0.778150, Average Loss  0.769752, Time  0.265328
2021-09-23 02:16:12.078313 : Epoch 10, Batch    568, Loss  0.778272, Average Loss  0.770097, Time  0.256655
2021-09-23 02:16:12.818169 : Epoch 10, Batch    725, Loss  0.768633, Average Loss  0.769726, Time  0.248032
2021-09-23 02:16:13.988918 : Epoch 10, Batch    569, Loss  0.767435, Average Loss  0.770049, Time  0.252506
2021-09-23 02:16:14.695524 : Epoch 10, Batch    726, Loss  0.769178, Average Loss  0.769704, Time  0.251502
2021-09-23 02:16:15.918023 : Epoch 10, Batch    570, Loss  0.770403, Average Loss  0.770025, Time  0.254949
2021-09-23 02:16:16.581916 : Epoch 10, Batch    727, Loss  0.777453, Average Loss  0.769763, Time  0.247835
2021-09-23 02:16:17.843247 : Epoch 10, Batch    571, Loss  0.780476, Average Loss  0.769952, Time  0.263613
2021-09-23 02:16:18.454864 : Epoch 10, Batch    728, Loss  0.768449, Average Loss  0.769721, Time  0.255946
2021-09-23 02:16:19.769767 : Epoch 10, Batch    572, Loss  0.763993, Average Loss  0.769932, Time  0.252385
2021-09-23 02:16:20.343918 : Epoch 10, Batch    729, Loss  0.779001, Average Loss  0.769778, Time  0.248533
2021-09-23 02:16:21.681830 : Epoch 10, Batch    573, Loss  0.767258, Average Loss  0.769967, Time  0.250627
2021-09-23 02:16:22.216757 : Epoch 10, Batch    730, Loss  0.770729, Average Loss  0.769809, Time  0.248225
2021-09-23 02:16:23.593897 : Epoch 10, Batch    574, Loss  0.769856, Average Loss  0.769956, Time  0.254170
2021-09-23 02:16:24.114130 : Epoch 10, Batch    731, Loss  0.775303, Average Loss  0.769789, Time  0.249352
2021-09-23 02:16:25.498089 : Epoch 10, Batch    575, Loss  0.772170, Average Loss  0.769971, Time  0.251952
2021-09-23 02:16:25.979471 : Epoch 10, Batch    732, Loss  0.776084, Average Loss  0.769839, Time  0.248207
2021-09-23 02:16:27.416947 : Epoch 10, Batch    576, Loss  0.765575, Average Loss  0.769880, Time  0.258957
2021-09-23 02:16:27.852855 : Epoch 10, Batch    733, Loss  0.775431, Average Loss  0.769942, Time  0.255379
2021-09-23 02:16:29.345228 : Epoch 10, Batch    577, Loss  0.761807, Average Loss  0.769900, Time  0.256392
2021-09-23 02:16:29.713509 : Epoch 10, Batch    734, Loss  0.775439, Average Loss  0.769914, Time  0.250398
2021-09-23 02:16:31.279222 : Epoch 10, Batch    578, Loss  0.759805, Average Loss  0.769882, Time  0.252373
2021-09-23 02:16:31.575908 : Epoch 10, Batch    735, Loss  0.775888, Average Loss  0.769906, Time  0.250015
2021-09-23 02:16:33.189873 : Epoch 10, Batch    579, Loss  0.777335, Average Loss  0.769951, Time  0.252763
2021-09-23 02:16:33.451192 : Epoch 10, Batch    736, Loss  0.780143, Average Loss  0.769996, Time  0.248238
2021-09-23 02:16:35.109654 : Epoch 10, Batch    580, Loss  0.781706, Average Loss  0.769986, Time  0.258323
2021-09-23 02:16:35.325925 : Epoch 10, Batch    737, Loss  0.771510, Average Loss  0.770014, Time  0.260483
2021-09-23 02:16:37.123197 : Epoch 10, Batch    581, Loss  0.767913, Average Loss  0.769982, Time  0.348976
2021-09-23 02:16:37.272207 : Epoch 10, Batch    738, Loss  0.771890, Average Loss  0.770006, Time  0.314993
2021-09-23 02:16:39.201589 : Epoch 10, Batch    582, Loss  0.768181, Average Loss  0.769948, Time  0.429225
2021-09-23 02:16:39.285400 : Epoch 10, Batch    739, Loss  0.772189, Average Loss  0.770007, Time  0.384310
2021-09-23 02:16:41.340203 : Epoch 10, Batch    583, Loss  0.757105, Average Loss  0.769932, Time  0.500532
2021-09-23 02:16:41.373229 : Epoch 10, Batch    740, Loss  0.763021, Average Loss  0.769917, Time  0.454338
2021-09-23 02:16:43.509364 : Epoch 10, Batch    741, Loss  0.768223, Average Loss  0.769929, Time  0.516245
2021-09-23 02:16:43.544007 : Epoch 10, Batch    584, Loss  0.754103, Average Loss  0.769900, Time  0.518097
2021-09-23 02:16:45.569013 : Epoch 10, Batch    742, Loss  0.767195, Average Loss  0.769948, Time  0.451065
2021-09-23 02:16:45.631799 : Epoch 10, Batch    585, Loss  0.782706, Average Loss  0.769969, Time  0.422807
2021-09-23 02:16:47.625263 : Epoch 10, Batch    743, Loss  0.767973, Average Loss  0.769911, Time  0.434403
2021-09-23 02:16:47.707445 : Epoch 10, Batch    586, Loss  0.770625, Average Loss  0.769982, Time  0.403503
2021-09-23 02:16:49.669893 : Epoch 10, Batch    744, Loss  0.761121, Average Loss  0.769818, Time  0.399302
2021-09-23 02:16:49.761264 : Epoch 10, Batch    587, Loss  0.780664, Average Loss  0.770055, Time  0.356488
2021-09-23 02:16:51.548306 : Epoch 10, Batch    745, Loss  0.757597, Average Loss  0.769743, Time  0.251861
2021-09-23 02:16:53.710163 : Epoch 10, Batch    746, Loss  0.767716, Average Loss  0.769734, Time  0.515213
2021-09-23 02:16:53.745909 : Epoch 10, Batch    588, Loss  0.770520, Average Loss  0.770030, Time  0.505141
2021-09-23 02:16:55.818846 : Epoch 10, Batch    747, Loss  0.763360, Average Loss  0.769674, Time  0.476413
2021-09-23 02:16:55.863614 : Epoch 10, Batch    589, Loss  0.779445, Average Loss  0.770089, Time  0.445204
2021-09-23 02:16:56.827740 : CheckPoint: Validation Loss  0.00014990, Best Loss  0.00014643
2021-09-23 02:16:57.958112 : Epoch 10, Batch    748, Loss  0.771936, Average Loss  0.769729, Time  0.493407
2021-09-23 02:16:57.990945 : Epoch 10, Batch    590, Loss  0.777300, Average Loss  0.770197, Time  0.462982
2021-09-23 02:17:00.071966 : Epoch 10, Batch    749, Loss  0.767841, Average Loss  0.769707, Time  0.497130
2021-09-23 02:17:00.114967 : Epoch 10, Batch    591, Loss  0.764963, Average Loss  0.770279, Time  0.452721
2021-09-23 02:17:01.839005 : Epoch  5, Batch    289, Loss  0.879921, Average Loss  0.870455, Time  0.414697
2021-09-23 02:17:02.175286 : Epoch 10, Batch    750, Loss  0.775392, Average Loss  0.769627, Time  0.482395
2021-09-23 02:17:02.217626 : Epoch 10, Batch    592, Loss  0.771216, Average Loss  0.770332, Time  0.455148
2021-09-23 02:17:04.276823 : Epoch 10, Batch    751, Loss  0.772682, Average Loss  0.769683, Time  0.482273
2021-09-23 02:17:04.319063 : Epoch 10, Batch    593, Loss  0.776774, Average Loss  0.770397, Time  0.450562
2021-09-23 02:17:06.350133 : Epoch 10, Batch    752, Loss  0.775393, Average Loss  0.769688, Time  0.460954
2021-09-23 02:17:06.408792 : Epoch 10, Batch    594, Loss  0.768429, Average Loss  0.770385, Time  0.430668
2021-09-23 02:17:06.854843 : Epoch  5, Batch    290, Loss  0.863738, Average Loss  0.870444, Time  0.413245
2021-09-23 02:17:08.437403 : Epoch 10, Batch    753, Loss  0.769229, Average Loss  0.769721, Time  0.467115
2021-09-23 02:17:08.491782 : Epoch 10, Batch    595, Loss  0.763682, Average Loss  0.770294, Time  0.440476
2021-09-23 02:17:10.550287 : Epoch 10, Batch    754, Loss  0.767736, Average Loss  0.769779, Time  0.487100
2021-09-23 02:17:10.587889 : Epoch 10, Batch    596, Loss  0.769525, Average Loss  0.770270, Time  0.443596
2021-09-23 02:17:11.871839 : Epoch  5, Batch    291, Loss  0.868811, Average Loss  0.870408, Time  0.457484
2021-09-23 02:17:12.669052 : Epoch 10, Batch    755, Loss  0.766380, Average Loss  0.769765, Time  0.490017
2021-09-23 02:17:12.702905 : Epoch 10, Batch    597, Loss  0.771032, Average Loss  0.770253, Time  0.455092
2021-09-23 02:17:14.831794 : Epoch 10, Batch    756, Loss  0.776863, Average Loss  0.769873, Time  0.505661
2021-09-23 02:17:14.876783 : Epoch 10, Batch    598, Loss  0.767343, Average Loss  0.770281, Time  0.495037
2021-09-23 02:17:16.860031 : Epoch  5, Batch    292, Loss  0.881173, Average Loss  0.870483, Time  0.414176
2021-09-23 02:17:16.925838 : Epoch 10, Batch    757, Loss  0.761664, Average Loss  0.769848, Time  0.474142
2021-09-23 02:17:16.972652 : Epoch 10, Batch    599, Loss  0.765678, Average Loss  0.770247, Time  0.443344
2021-09-23 02:17:19.020819 : Epoch 10, Batch    758, Loss  0.761992, Average Loss  0.769835, Time  0.462740
2021-09-23 02:17:19.080248 : Epoch 10, Batch    600, Loss  0.775964, Average Loss  0.770230, Time  0.432796
2021-09-23 02:17:21.144324 : Epoch 10, Batch    759, Loss  0.759120, Average Loss  0.769744, Time  0.484658
2021-09-23 02:17:21.181289 : Epoch 10, Batch    601, Loss  0.772131, Average Loss  0.770178, Time  0.455017
2021-09-23 02:17:21.855019 : Epoch  5, Batch    293, Loss  0.871802, Average Loss  0.870467, Time  0.423220
2021-09-23 02:17:23.338842 : Epoch 10, Batch    760, Loss  0.763466, Average Loss  0.769709, Time  0.517047
2021-09-23 02:17:23.383744 : Epoch 10, Batch    602, Loss  0.773611, Average Loss  0.770148, Time  0.514760
2021-09-23 02:17:25.461549 : Epoch 10, Batch    761, Loss  0.775672, Average Loss  0.769766, Time  0.491846
2021-09-23 02:17:25.499716 : Epoch 10, Batch    603, Loss  0.783908, Average Loss  0.770184, Time  0.462960
2021-09-23 02:17:26.838139 : Epoch  5, Batch    294, Loss  0.865320, Average Loss  0.870453, Time  0.414090
2021-09-23 02:17:27.540022 : Epoch 10, Batch    762, Loss  0.776925, Average Loss  0.769838, Time  0.460525
2021-09-23 02:17:27.593444 : Epoch 10, Batch    604, Loss  0.769841, Average Loss  0.770186, Time  0.425182
2021-09-23 02:17:29.624738 : Epoch 10, Batch    763, Loss  0.768384, Average Loss  0.769888, Time  0.456304
2021-09-23 02:17:29.686901 : Epoch 10, Batch    605, Loss  0.769279, Average Loss  0.770186, Time  0.419506
2021-09-23 02:17:31.671819 : Epoch 10, Batch    764, Loss  0.772880, Average Loss  0.769914, Time  0.438718
2021-09-23 02:17:31.749126 : Epoch 10, Batch    606, Loss  0.760460, Average Loss  0.770109, Time  0.408525
2021-09-23 02:17:31.831920 : Epoch  5, Batch    295, Loss  0.872907, Average Loss  0.870429, Time  0.413211
2021-09-23 02:17:33.762526 : Epoch 10, Batch    765, Loss  0.767855, Average Loss  0.769983, Time  0.466235
2021-09-23 02:17:33.821175 : Epoch 10, Batch    607, Loss  0.755795, Average Loss  0.770070, Time  0.437544
2021-09-23 02:17:35.900964 : Epoch 10, Batch    766, Loss  0.770936, Average Loss  0.769993, Time  0.500846
2021-09-23 02:17:35.931035 : Epoch 10, Batch    608, Loss  0.771004, Average Loss  0.770117, Time  0.487563
2021-09-23 02:17:36.805199 : Epoch  5, Batch    296, Loss  0.852214, Average Loss  0.870363, Time  0.413237
2021-09-23 02:17:38.029906 : Epoch 10, Batch    767, Loss  0.772037, Average Loss  0.769989, Time  0.502728
2021-09-23 02:17:38.060053 : Epoch 10, Batch    609, Loss  0.775290, Average Loss  0.770146, Time  0.483989
2021-09-23 02:17:40.147315 : Epoch 10, Batch    768, Loss  0.763865, Average Loss  0.769988, Time  0.495864
2021-09-23 02:17:40.179552 : Epoch 10, Batch    610, Loss  0.764442, Average Loss  0.770108, Time  0.467752
2021-09-23 02:17:41.799823 : Epoch  5, Batch    297, Loss  0.867536, Average Loss  0.870313, Time  0.413064
2021-09-23 02:17:42.255695 : Epoch 10, Batch    769, Loss  0.769634, Average Loss  0.769972, Time  0.499197
2021-09-23 02:17:42.282990 : Epoch 10, Batch    611, Loss  0.765859, Average Loss  0.770067, Time  0.458541
2021-09-23 02:17:44.364809 : Epoch 10, Batch    770, Loss  0.767524, Average Loss  0.769949, Time  0.490495
2021-09-23 02:17:44.397546 : Epoch 10, Batch    612, Loss  0.776022, Average Loss  0.770135, Time  0.461391
2021-09-23 02:17:46.476924 : Epoch 10, Batch    771, Loss  0.763405, Average Loss  0.769916, Time  0.496353
2021-09-23 02:17:46.505265 : Epoch 10, Batch    613, Loss  0.773516, Average Loss  0.770189, Time  0.467247
2021-09-23 02:17:46.773959 : Epoch  5, Batch    298, Loss  0.862838, Average Loss  0.870197, Time  0.413338
2021-09-23 02:17:48.629290 : Epoch 10, Batch    772, Loss  0.766994, Average Loss  0.769943, Time  0.512253
2021-09-23 02:17:48.659699 : Epoch 10, Batch    614, Loss  0.764414, Average Loss  0.770151, Time  0.503023
2021-09-23 02:17:50.740784 : Epoch 10, Batch    773, Loss  0.775718, Average Loss  0.769926, Time  0.496117
2021-09-23 02:17:50.775389 : Epoch 10, Batch    615, Loss  0.771888, Average Loss  0.770154, Time  0.467565
2021-09-23 02:17:51.747527 : Epoch  5, Batch    299, Loss  0.867795, Average Loss  0.870250, Time  0.413231
2021-09-23 02:17:52.849284 : Epoch 10, Batch    774, Loss  0.770531, Average Loss  0.769966, Time  0.495198
2021-09-23 02:17:52.888044 : Epoch 10, Batch    616, Loss  0.783765, Average Loss  0.770274, Time  0.456656
2021-09-23 02:17:55.028641 : Epoch 10, Batch    775, Loss  0.768092, Average Loss  0.769965, Time  0.516624
2021-09-23 02:17:55.062950 : Epoch 10, Batch    617, Loss  0.765064, Average Loss  0.770223, Time  0.517801
2021-09-23 02:17:56.764096 : Epoch  5, Batch    300, Loss  0.858237, Average Loss  0.870212, Time  0.451651
2021-09-23 02:17:56.902964 : Epoch 10, Batch    776, Loss  0.770077, Average Loss  0.769974, Time  0.250077
2021-09-23 02:17:58.810670 : Epoch 10, Batch    777, Loss  0.766104, Average Loss  0.769930, Time  0.290255
2021-09-23 02:18:00.710132 : Epoch 10, Batch    778, Loss  0.768215, Average Loss  0.769943, Time  0.250985
2021-09-23 02:18:01.737748 : Epoch  5, Batch    301, Loss  0.865044, Average Loss  0.870160, Time  0.413213
2021-09-23 02:18:02.597858 : Epoch 10, Batch    779, Loss  0.775449, Average Loss  0.770044, Time  0.248555
2021-09-23 02:18:04.474993 : Epoch 10, Batch    780, Loss  0.764575, Average Loss  0.770048, Time  0.254220
2021-09-23 02:18:06.352249 : Epoch 10, Batch    781, Loss  0.770494, Average Loss  0.770026, Time  0.257927
2021-09-23 02:18:06.721052 : Epoch  5, Batch    302, Loss  0.864327, Average Loss  0.870187, Time  0.413234
2021-09-23 02:18:08.236624 : Epoch 10, Batch    782, Loss  0.763442, Average Loss  0.770010, Time  0.250710
2021-09-23 02:18:10.117636 : Epoch 10, Batch    783, Loss  0.784555, Average Loss  0.770107, Time  0.254749
2021-09-23 02:18:10.288769 : Epoch 10, Batch    784, Loss  0.520751, Average Loss  0.768869, Time  0.119511
2021-09-23 02:18:11.700016 : Epoch  5, Batch    303, Loss  0.875339, Average Loss  0.870167, Time  0.414180
2021-09-23 02:18:12.191871 : Epoch 10, Batch    785, Loss  0.784031, Average Loss  0.768945, Time  0.287912
2021-09-23 02:18:14.037715 : Epoch 10, Batch    786, Loss  0.778061, Average Loss  0.768965, Time  0.253281
2021-09-23 02:18:15.909357 : Epoch 10, Batch    787, Loss  0.770618, Average Loss  0.768958, Time  0.250630
2021-09-23 02:18:15.965661 : Saving Model after 10-th Epoch.
2021-09-23 02:18:16.684065 : Epoch  5, Batch    304, Loss  0.870262, Average Loss  0.870163, Time  0.415033
2021-09-23 02:18:16.804205 : Epoch Finished.
2021-09-23 02:18:21.706808 : Epoch  5, Batch    305, Loss  0.868026, Average Loss  0.870148, Time  0.413854
2021-09-23 02:18:26.689808 : Epoch  5, Batch    306, Loss  0.879769, Average Loss  0.870290, Time  0.413417
2021-09-23 02:18:31.684975 : Epoch  5, Batch    307, Loss  0.877127, Average Loss  0.870303, Time  0.413603
2021-09-23 02:18:36.681741 : Epoch  5, Batch    308, Loss  0.881403, Average Loss  0.870326, Time  0.413511
2021-09-23 02:18:41.719769 : Epoch  5, Batch    309, Loss  0.870349, Average Loss  0.870302, Time  0.453459
2021-09-23 02:18:46.705978 : Epoch  5, Batch    310, Loss  0.875125, Average Loss  0.870328, Time  0.413599
2021-09-23 02:18:51.683004 : Epoch  5, Batch    311, Loss  0.864536, Average Loss  0.870320, Time  0.412866
2021-09-23 02:18:56.675188 : Epoch  5, Batch    312, Loss  0.857866, Average Loss  0.870251, Time  0.413198
2021-09-23 02:19:01.697777 : Epoch  5, Batch    313, Loss  0.862040, Average Loss  0.870223, Time  0.413335
2021-09-23 02:19:05.509461 : CheckPoint: Validation Loss  0.00031951, Best Loss  0.00030514
2021-09-23 02:19:06.682097 : Epoch  5, Batch    314, Loss  0.865727, Average Loss  0.870146, Time  0.413500
2021-09-23 02:19:07.402746 : Epoch 10, Batch    618, Loss  0.768040, Average Loss  0.770205, Time  0.256784
2021-09-23 02:19:09.284942 : Epoch 10, Batch    619, Loss  0.752024, Average Loss  0.770083, Time  0.250790
2021-09-23 02:19:11.173923 : Epoch 10, Batch    620, Loss  0.772262, Average Loss  0.770113, Time  0.252735
2021-09-23 02:19:11.661033 : Epoch  5, Batch    315, Loss  0.856697, Average Loss  0.870038, Time  0.413024
2021-09-23 02:19:13.063246 : Epoch 10, Batch    621, Loss  0.768644, Average Loss  0.770127, Time  0.251271
2021-09-23 02:19:14.955911 : Epoch 10, Batch    622, Loss  0.767294, Average Loss  0.770086, Time  0.254464
2021-09-23 02:19:16.669912 : Epoch  5, Batch    316, Loss  0.866857, Average Loss  0.869993, Time  0.414642
2021-09-23 02:19:16.847812 : Epoch 10, Batch    623, Loss  0.763449, Average Loss  0.770023, Time  0.251538
2021-09-23 02:19:18.732260 : Epoch 10, Batch    624, Loss  0.777444, Average Loss  0.770074, Time  0.259483
2021-09-23 02:19:20.638820 : Epoch 10, Batch    625, Loss  0.765986, Average Loss  0.769988, Time  0.254916
2021-09-23 02:19:21.656799 : Epoch  5, Batch    317, Loss  0.876198, Average Loss  0.869977, Time  0.413737
2021-09-23 02:19:22.524729 : Epoch 10, Batch    626, Loss  0.772093, Average Loss  0.770005, Time  0.251861
2021-09-23 02:19:24.420132 : Epoch 10, Batch    627, Loss  0.774419, Average Loss  0.770050, Time  0.252901
2021-09-23 02:19:26.300798 : Epoch 10, Batch    628, Loss  0.764622, Average Loss  0.770000, Time  0.255255
2021-09-23 02:19:26.671782 : Epoch  5, Batch    318, Loss  0.879415, Average Loss  0.870060, Time  0.450591
2021-09-23 02:19:28.190056 : Epoch 10, Batch    629, Loss  0.768291, Average Loss  0.769959, Time  0.254231
2021-09-23 02:19:30.106694 : Epoch 10, Batch    630, Loss  0.769311, Average Loss  0.769953, Time  0.252887
2021-09-23 02:19:31.663846 : Epoch  5, Batch    319, Loss  0.883354, Average Loss  0.870064, Time  0.414506
2021-09-23 02:19:32.005702 : Epoch 10, Batch    631, Loss  0.772801, Average Loss  0.769895, Time  0.258712
2021-09-23 02:19:33.895721 : Epoch 10, Batch    632, Loss  0.788574, Average Loss  0.769992, Time  0.252537
2021-09-23 02:19:35.790725 : Epoch 10, Batch    633, Loss  0.777768, Average Loss  0.770071, Time  0.252223
2021-09-23 02:19:36.667789 : Epoch  5, Batch    320, Loss  0.868696, Average Loss  0.870052, Time  0.414642
2021-09-23 02:19:37.679216 : Epoch 10, Batch    634, Loss  0.771047, Average Loss  0.770053, Time  0.255558
2021-09-23 02:19:39.563275 : Epoch 10, Batch    635, Loss  0.772583, Average Loss  0.770088, Time  0.251420
2021-09-23 02:19:41.453735 : Epoch 10, Batch    636, Loss  0.771129, Average Loss  0.770087, Time  0.252456
2021-09-23 02:19:41.653787 : Epoch  5, Batch    321, Loss  0.851697, Average Loss  0.870004, Time  0.415708
2021-09-23 02:19:43.335243 : Epoch 10, Batch    637, Loss  0.773955, Average Loss  0.770100, Time  0.252470
2021-09-23 02:19:45.228959 : Epoch 10, Batch    638, Loss  0.779315, Average Loss  0.770146, Time  0.252653
2021-09-23 02:19:46.622633 : Epoch  5, Batch    322, Loss  0.865399, Average Loss  0.869959, Time  0.413460
2021-09-23 02:19:47.121988 : Epoch 10, Batch    639, Loss  0.767241, Average Loss  0.770134, Time  0.251874
2021-09-23 02:19:49.010260 : Epoch 10, Batch    640, Loss  0.763628, Average Loss  0.770110, Time  0.255743
2021-09-23 02:19:50.903966 : Epoch 10, Batch    641, Loss  0.763703, Average Loss  0.770047, Time  0.254435
2021-09-23 02:19:51.608790 : Epoch  5, Batch    323, Loss  0.875725, Average Loss  0.869968, Time  0.413596
2021-09-23 02:19:52.804243 : Epoch 10, Batch    642, Loss  0.764999, Average Loss  0.770049, Time  0.253484
2021-09-23 02:19:54.714420 : Epoch 10, Batch    643, Loss  0.765325, Average Loss  0.770025, Time  0.252980
2021-09-23 02:19:56.587428 : Epoch  5, Batch    324, Loss  0.856532, Average Loss  0.869902, Time  0.414208
2021-09-23 02:19:56.637713 : Epoch 10, Batch    644, Loss  0.775442, Average Loss  0.770089, Time  0.252524
2021-09-23 02:19:58.533785 : Epoch 10, Batch    645, Loss  0.772755, Average Loss  0.770121, Time  0.253626
2021-09-23 02:20:00.433979 : Epoch 10, Batch    646, Loss  0.770162, Average Loss  0.770097, Time  0.252946
2021-09-23 02:20:01.574814 : Epoch  5, Batch    325, Loss  0.879445, Average Loss  0.869981, Time  0.418099
2021-09-23 02:20:02.327881 : Epoch 10, Batch    647, Loss  0.770225, Average Loss  0.770104, Time  0.255284
2021-09-23 02:20:04.219133 : Epoch 10, Batch    648, Loss  0.772575, Average Loss  0.770103, Time  0.251109
2021-09-23 02:20:06.113066 : Epoch 10, Batch    649, Loss  0.769534, Average Loss  0.770102, Time  0.252970
2021-09-23 02:20:06.562015 : Epoch  5, Batch    326, Loss  0.860811, Average Loss  0.869949, Time  0.414169
2021-09-23 02:20:08.011670 : Epoch 10, Batch    650, Loss  0.769294, Average Loss  0.770175, Time  0.253296
2021-09-23 02:20:09.906303 : Epoch 10, Batch    651, Loss  0.766230, Average Loss  0.770117, Time  0.251075
2021-09-23 02:20:11.594752 : Epoch  5, Batch    327, Loss  0.877304, Average Loss  0.869943, Time  0.466705
2021-09-23 02:20:11.800856 : Epoch 10, Batch    652, Loss  0.771616, Average Loss  0.770097, Time  0.252901
2021-09-23 02:20:13.671873 : Epoch 10, Batch    653, Loss  0.761939, Average Loss  0.770017, Time  0.251406
2021-09-23 02:20:15.576330 : Epoch 10, Batch    654, Loss  0.781020, Average Loss  0.770006, Time  0.252790
2021-09-23 02:20:16.654816 : Epoch  5, Batch    328, Loss  0.876208, Average Loss  0.869889, Time  0.418685
2021-09-23 02:20:17.476759 : Epoch 10, Batch    655, Loss  0.775073, Average Loss  0.770082, Time  0.255957
2021-09-23 02:20:19.373262 : Epoch 10, Batch    656, Loss  0.774550, Average Loss  0.770128, Time  0.253076
2021-09-23 02:20:21.278081 : Epoch 10, Batch    657, Loss  0.760356, Average Loss  0.770085, Time  0.251478
2021-09-23 02:20:21.635092 : Epoch  5, Batch    329, Loss  0.881595, Average Loss  0.869951, Time  0.413660
2021-09-23 02:20:23.175253 : Epoch 10, Batch    658, Loss  0.772394, Average Loss  0.770079, Time  0.255422
2021-09-23 02:20:25.074994 : Epoch 10, Batch    659, Loss  0.770699, Average Loss  0.770117, Time  0.253577
2021-09-23 02:20:26.629192 : Epoch  5, Batch    330, Loss  0.883307, Average Loss  0.869973, Time  0.414334
2021-09-23 02:20:26.980323 : Epoch 10, Batch    660, Loss  0.769813, Average Loss  0.770101, Time  0.257639
2021-09-23 02:20:28.868498 : Epoch 10, Batch    661, Loss  0.772402, Average Loss  0.770058, Time  0.254538
2021-09-23 02:20:30.747108 : Epoch 10, Batch    662, Loss  0.777249, Average Loss  0.770108, Time  0.252801
2021-09-23 02:20:31.617962 : Epoch  5, Batch    331, Loss  0.866581, Average Loss  0.869986, Time  0.413486
2021-09-23 02:20:32.643538 : Epoch 10, Batch    663, Loss  0.764776, Average Loss  0.770075, Time  0.252557
2021-09-23 02:20:34.538005 : Epoch 10, Batch    664, Loss  0.770136, Average Loss  0.770022, Time  0.256190
2021-09-23 02:20:36.447825 : Epoch 10, Batch    665, Loss  0.779560, Average Loss  0.770096, Time  0.255124
2021-09-23 02:20:36.629783 : Epoch  5, Batch    332, Loss  0.864541, Average Loss  0.869996, Time  0.414363
2021-09-23 02:20:38.352236 : Epoch 10, Batch    666, Loss  0.753529, Average Loss  0.770043, Time  0.252789
2021-09-23 02:20:40.248005 : Epoch 10, Batch    667, Loss  0.764859, Average Loss  0.770017, Time  0.256337
2021-09-23 02:20:41.627668 : Epoch  5, Batch    333, Loss  0.869489, Average Loss  0.869991, Time  0.413292
2021-09-23 02:20:42.150509 : Epoch 10, Batch    668, Loss  0.776364, Average Loss  0.770068, Time  0.256147
2021-09-23 02:20:44.066965 : Epoch 10, Batch    669, Loss  0.770167, Average Loss  0.770032, Time  0.253022
2021-09-23 02:20:45.951234 : Epoch 10, Batch    670, Loss  0.776886, Average Loss  0.770050, Time  0.251705
2021-09-23 02:20:46.609659 : Epoch  5, Batch    334, Loss  0.868032, Average Loss  0.870031, Time  0.413181
2021-09-23 02:20:47.848335 : Epoch 10, Batch    671, Loss  0.771853, Average Loss  0.770056, Time  0.252946
2021-09-23 02:20:49.745322 : Epoch 10, Batch    672, Loss  0.760003, Average Loss  0.770006, Time  0.250654
2021-09-23 02:20:51.594891 : Epoch  5, Batch    335, Loss  0.883385, Average Loss  0.870031, Time  0.414081
2021-09-23 02:20:51.649785 : Epoch 10, Batch    673, Loss  0.764051, Average Loss  0.769970, Time  0.251617
2021-09-23 02:20:53.596028 : Epoch 10, Batch    674, Loss  0.773718, Average Loss  0.770006, Time  0.260159
2021-09-23 02:20:55.485646 : Epoch 10, Batch    675, Loss  0.768909, Average Loss  0.770087, Time  0.251814
2021-09-23 02:20:56.632819 : Epoch  5, Batch    336, Loss  0.866733, Average Loss  0.870011, Time  0.465975
2021-09-23 02:20:57.384029 : Epoch 10, Batch    676, Loss  0.759886, Average Loss  0.770072, Time  0.254788
2021-09-23 02:20:59.277830 : Epoch 10, Batch    677, Loss  0.770910, Average Loss  0.770050, Time  0.252202
2021-09-23 02:21:01.164308 : Epoch 10, Batch    678, Loss  0.773901, Average Loss  0.770047, Time  0.252618
2021-09-23 02:21:01.628751 : Epoch  5, Batch    337, Loss  0.884582, Average Loss  0.870056, Time  0.419088
2021-09-23 02:21:03.059197 : Epoch 10, Batch    679, Loss  0.771750, Average Loss  0.770057, Time  0.251596
2021-09-23 02:21:04.952232 : Epoch 10, Batch    680, Loss  0.772800, Average Loss  0.770066, Time  0.253141
2021-09-23 02:21:06.631000 : Epoch  5, Batch    338, Loss  0.860217, Average Loss  0.869995, Time  0.413805
2021-09-23 02:21:06.861527 : Epoch 10, Batch    681, Loss  0.770963, Average Loss  0.770080, Time  0.251279
2021-09-23 02:21:08.738924 : Epoch 10, Batch    682, Loss  0.767125, Average Loss  0.770050, Time  0.250699
2021-09-23 02:21:10.646853 : Epoch 10, Batch    683, Loss  0.765726, Average Loss  0.770057, Time  0.251030
2021-09-23 02:21:11.619726 : Epoch  5, Batch    339, Loss  0.881782, Average Loss  0.870011, Time  0.414614
2021-09-23 02:21:12.532656 : Epoch 10, Batch    684, Loss  0.767871, Average Loss  0.770025, Time  0.252460
2021-09-23 02:21:14.431123 : Epoch 10, Batch    685, Loss  0.777432, Average Loss  0.770079, Time  0.250885
2021-09-23 02:21:16.319102 : Epoch 10, Batch    686, Loss  0.780673, Average Loss  0.770131, Time  0.252495
2021-09-23 02:21:16.603304 : Epoch  5, Batch    340, Loss  0.859625, Average Loss  0.869977, Time  0.413836
2021-09-23 02:21:18.211058 : Epoch 10, Batch    687, Loss  0.769720, Average Loss  0.770105, Time  0.254776
2021-09-23 02:21:21.573088 : Epoch  5, Batch    341, Loss  0.875337, Average Loss  0.870024, Time  0.414590
2021-09-23 02:21:21.862985 : Epoch 10, Batch    688, Loss  0.775706, Average Loss  0.770174, Time  0.262421
2021-09-23 02:21:23.754038 : Epoch 10, Batch    689, Loss  0.768402, Average Loss  0.770215, Time  0.252670
2021-09-23 02:21:25.646242 : Epoch 10, Batch    690, Loss  0.758833, Average Loss  0.770149, Time  0.252211
2021-09-23 02:21:26.553986 : Epoch  5, Batch    342, Loss  0.863415, Average Loss  0.870007, Time  0.413451
2021-09-23 02:21:27.529476 : Epoch 10, Batch    691, Loss  0.766282, Average Loss  0.770159, Time  0.254931
2021-09-23 02:21:29.414321 : Epoch 10, Batch    692, Loss  0.780181, Average Loss  0.770222, Time  0.252435
2021-09-23 02:21:31.306276 : Epoch 10, Batch    693, Loss  0.758208, Average Loss  0.770197, Time  0.250945
2021-09-23 02:21:31.620099 : Epoch  5, Batch    343, Loss  0.866382, Average Loss  0.869992, Time  0.415370
2021-09-23 02:21:33.214323 : Epoch 10, Batch    694, Loss  0.758471, Average Loss  0.770113, Time  0.266331
2021-09-23 02:21:35.109236 : Epoch 10, Batch    695, Loss  0.776958, Average Loss  0.770139, Time  0.257060
2021-09-23 02:21:36.646900 : Epoch  5, Batch    344, Loss  0.860434, Average Loss  0.870002, Time  0.413772
2021-09-23 02:21:37.021857 : Epoch 10, Batch    696, Loss  0.767898, Average Loss  0.770174, Time  0.259010
2021-09-23 02:21:38.910202 : Epoch 10, Batch    697, Loss  0.761147, Average Loss  0.770096, Time  0.252066
2021-09-23 02:21:40.799910 : Epoch 10, Batch    698, Loss  0.768108, Average Loss  0.770089, Time  0.252105
2021-09-23 02:21:41.688946 : Epoch  5, Batch    345, Loss  0.876288, Average Loss  0.870023, Time  0.464034
2021-09-23 02:21:42.699002 : Epoch 10, Batch    699, Loss  0.764122, Average Loss  0.770107, Time  0.250819
2021-09-23 02:21:44.587331 : Epoch 10, Batch    700, Loss  0.777609, Average Loss  0.770150, Time  0.255075
2021-09-23 02:21:46.474310 : Epoch 10, Batch    701, Loss  0.774778, Average Loss  0.770167, Time  0.251558
2021-09-23 02:21:46.677730 : Epoch  5, Batch    346, Loss  0.878999, Average Loss  0.870078, Time  0.419355
2021-09-23 02:21:48.369949 : Epoch 10, Batch    702, Loss  0.764346, Average Loss  0.770095, Time  0.252461
2021-09-23 02:21:50.264566 : Epoch 10, Batch    703, Loss  0.749743, Average Loss  0.770031, Time  0.252065
2021-09-23 02:21:51.652735 : Epoch  5, Batch    347, Loss  0.875088, Average Loss  0.870164, Time  0.413339
2021-09-23 02:21:52.160134 : Epoch 10, Batch    704, Loss  0.767416, Average Loss  0.770011, Time  0.256190
2021-09-23 02:21:54.041437 : Epoch 10, Batch    705, Loss  0.778719, Average Loss  0.770073, Time  0.253200
2021-09-23 02:21:55.932910 : Epoch 10, Batch    706, Loss  0.780470, Average Loss  0.770162, Time  0.251757
2021-09-23 02:21:56.637936 : Epoch  5, Batch    348, Loss  0.845905, Average Loss  0.870107, Time  0.414694
2021-09-23 02:21:57.821821 : Epoch 10, Batch    707, Loss  0.768346, Average Loss  0.770114, Time  0.255846
2021-09-23 02:21:59.713758 : Epoch 10, Batch    708, Loss  0.777877, Average Loss  0.770159, Time  0.250861
2021-09-23 02:22:01.596210 : Epoch 10, Batch    709, Loss  0.769835, Average Loss  0.770199, Time  0.252609
2021-09-23 02:22:01.653927 : Epoch  5, Batch    349, Loss  0.872510, Average Loss  0.870135, Time  0.413034
2021-09-23 02:22:03.495864 : Epoch 10, Batch    710, Loss  0.784533, Average Loss  0.770312, Time  0.253395
2021-09-23 02:22:05.400740 : Epoch 10, Batch    711, Loss  0.769505, Average Loss  0.770323, Time  0.251605
2021-09-23 02:22:06.642026 : Epoch  5, Batch    350, Loss  0.861001, Average Loss  0.870141, Time  0.413611
2021-09-23 02:22:07.298887 : Epoch 10, Batch    712, Loss  0.776549, Average Loss  0.770381, Time  0.252861
2021-09-23 02:22:09.185280 : Epoch 10, Batch    713, Loss  0.772020, Average Loss  0.770412, Time  0.254691
2021-09-23 02:22:11.076216 : Epoch 10, Batch    714, Loss  0.758654, Average Loss  0.770359, Time  0.251566
2021-09-23 02:22:11.635750 : Epoch  5, Batch    351, Loss  0.872435, Average Loss  0.870099, Time  0.413529
2021-09-23 02:22:12.956551 : Epoch 10, Batch    715, Loss  0.761892, Average Loss  0.770298, Time  0.252815
2021-09-23 02:22:14.856782 : Epoch 10, Batch    716, Loss  0.772999, Average Loss  0.770338, Time  0.258040
2021-09-23 02:22:16.614795 : Epoch  5, Batch    352, Loss  0.855639, Average Loss  0.870061, Time  0.413516
2021-09-23 02:22:16.762219 : Epoch 10, Batch    717, Loss  0.765247, Average Loss  0.770371, Time  0.253339
2021-09-23 02:22:21.599041 : Epoch  5, Batch    353, Loss  0.859506, Average Loss  0.869964, Time  0.412947
2021-09-23 02:22:26.627945 : Epoch  5, Batch    354, Loss  0.878451, Average Loss  0.869965, Time  0.454064
2021-09-23 02:22:31.618814 : Epoch  5, Batch    355, Loss  0.881662, Average Loss  0.870003, Time  0.413919
2021-09-23 02:22:36.612784 : Epoch  5, Batch    356, Loss  0.860546, Average Loss  0.869980, Time  0.413720
2021-09-23 02:22:41.635960 : Epoch  5, Batch    357, Loss  0.882392, Average Loss  0.869993, Time  0.414578
2021-09-23 02:22:46.624849 : Epoch  5, Batch    358, Loss  0.868096, Average Loss  0.870158, Time  0.414032
2021-09-23 02:22:51.619986 : Epoch  5, Batch    359, Loss  0.880297, Average Loss  0.870176, Time  0.413411
2021-09-23 02:22:56.603754 : Epoch  5, Batch    360, Loss  0.870852, Average Loss  0.870203, Time  0.413063
2021-09-23 02:23:01.599918 : Epoch  5, Batch    361, Loss  0.868648, Average Loss  0.870235, Time  0.413430
2021-09-23 02:23:06.584975 : Epoch  5, Batch    362, Loss  0.889177, Average Loss  0.870406, Time  0.414543
2021-09-23 02:23:11.614739 : Epoch  5, Batch    363, Loss  0.878177, Average Loss  0.870381, Time  0.460660
2021-09-23 02:23:16.594691 : Epoch  5, Batch    364, Loss  0.874707, Average Loss  0.870368, Time  0.413656
2021-09-23 02:23:21.578757 : Epoch  5, Batch    365, Loss  0.880529, Average Loss  0.870355, Time  0.413166
2021-09-23 02:23:26.576764 : Epoch  5, Batch    366, Loss  0.874185, Average Loss  0.870321, Time  0.414983
2021-09-23 02:23:27.437781 : CheckPoint: Validation Loss  0.00031688, Best Loss  0.00030514
2021-09-23 02:23:29.378870 : Epoch 10, Batch    718, Loss  0.765760, Average Loss  0.770368, Time  0.261711
2021-09-23 02:23:31.281685 : Epoch 10, Batch    719, Loss  0.768767, Average Loss  0.770282, Time  0.253148
2021-09-23 02:23:31.551763 : Epoch  5, Batch    367, Loss  0.885778, Average Loss  0.870339, Time  0.413225
2021-09-23 02:23:33.169638 : Epoch 10, Batch    720, Loss  0.778616, Average Loss  0.770345, Time  0.253056
2021-09-23 02:23:35.057310 : Epoch 10, Batch    721, Loss  0.783516, Average Loss  0.770349, Time  0.251762
2021-09-23 02:23:36.526068 : Epoch  5, Batch    368, Loss  0.879499, Average Loss  0.870505, Time  0.414110
2021-09-23 02:23:37.002390 : Epoch 10, Batch    722, Loss  0.770853, Average Loss  0.770259, Time  0.259036
2021-09-23 02:23:38.890096 : Epoch 10, Batch    723, Loss  0.766538, Average Loss  0.770252, Time  0.251866
2021-09-23 02:23:40.790969 : Epoch 10, Batch    724, Loss  0.773686, Average Loss  0.770293, Time  0.255915
2021-09-23 02:23:41.510742 : Epoch  5, Batch    369, Loss  0.864723, Average Loss  0.870427, Time  0.413582
2021-09-23 02:23:42.692833 : Epoch 10, Batch    725, Loss  0.772403, Average Loss  0.770252, Time  0.256766
2021-09-23 02:23:44.580377 : Epoch 10, Batch    726, Loss  0.775807, Average Loss  0.770299, Time  0.252853
2021-09-23 02:23:46.479268 : Epoch 10, Batch    727, Loss  0.775015, Average Loss  0.770311, Time  0.251263
2021-09-23 02:23:46.497834 : Epoch  5, Batch    370, Loss  0.868043, Average Loss  0.870397, Time  0.414464
2021-09-23 02:23:48.378938 : Epoch 10, Batch    728, Loss  0.761186, Average Loss  0.770231, Time  0.255220
2021-09-23 02:23:50.279756 : Epoch 10, Batch    729, Loss  0.774725, Average Loss  0.770227, Time  0.254764
2021-09-23 02:23:51.496976 : Epoch  5, Batch    371, Loss  0.869388, Average Loss  0.870362, Time  0.413104
2021-09-23 02:23:52.176061 : Epoch 10, Batch    730, Loss  0.765472, Average Loss  0.770217, Time  0.253519
2021-09-23 02:23:54.072413 : Epoch 10, Batch    731, Loss  0.777280, Average Loss  0.770296, Time  0.251501
2021-09-23 02:23:55.967164 : Epoch 10, Batch    732, Loss  0.776954, Average Loss  0.770401, Time  0.253285
2021-09-23 02:23:56.514796 : Epoch  5, Batch    372, Loss  0.887174, Average Loss  0.870469, Time  0.451272
2021-09-23 02:23:57.867034 : Epoch 10, Batch    733, Loss  0.778735, Average Loss  0.770466, Time  0.254278
2021-09-23 02:23:59.779040 : Epoch 10, Batch    734, Loss  0.770568, Average Loss  0.770453, Time  0.258646
2021-09-23 02:24:01.505714 : Epoch  5, Batch    373, Loss  0.850453, Average Loss  0.870284, Time  0.416054
2021-09-23 02:24:01.667789 : Epoch 10, Batch    735, Loss  0.769433, Average Loss  0.770442, Time  0.253942
2021-09-23 02:24:03.556807 : Epoch 10, Batch    736, Loss  0.775791, Average Loss  0.770495, Time  0.252085
2021-09-23 02:24:05.460396 : Epoch 10, Batch    737, Loss  0.766576, Average Loss  0.770447, Time  0.252296
2021-09-23 02:24:06.481758 : Epoch  5, Batch    374, Loss  0.861884, Average Loss  0.870269, Time  0.413381
2021-09-23 02:24:07.344358 : Epoch 10, Batch    738, Loss  0.757727, Average Loss  0.770382, Time  0.251809
2021-09-23 02:24:09.236248 : Epoch 10, Batch    739, Loss  0.767323, Average Loss  0.770368, Time  0.251698
2021-09-23 02:24:11.131867 : Epoch 10, Batch    740, Loss  0.766850, Average Loss  0.770333, Time  0.252902
2021-09-23 02:24:11.467724 : Epoch  5, Batch    375, Loss  0.861996, Average Loss  0.870278, Time  0.422647
2021-09-23 02:24:13.014246 : Epoch 10, Batch    741, Loss  0.758718, Average Loss  0.770247, Time  0.256490
2021-09-23 02:24:14.919855 : Epoch 10, Batch    742, Loss  0.764755, Average Loss  0.770261, Time  0.252155
2021-09-23 02:24:16.469217 : Epoch  5, Batch    376, Loss  0.874615, Average Loss  0.870246, Time  0.413807
2021-09-23 02:24:16.820315 : Epoch 10, Batch    743, Loss  0.766593, Average Loss  0.770246, Time  0.253607
2021-09-23 02:24:18.751794 : Epoch 10, Batch    744, Loss  0.770695, Average Loss  0.770249, Time  0.252207
2021-09-23 02:24:20.652371 : Epoch 10, Batch    745, Loss  0.767723, Average Loss  0.770278, Time  0.254088
2021-09-23 02:24:21.455785 : Epoch  5, Batch    377, Loss  0.876092, Average Loss  0.870300, Time  0.412964
2021-09-23 02:24:22.565832 : Epoch 10, Batch    746, Loss  0.773598, Average Loss  0.770318, Time  0.252295
2021-09-23 02:24:24.453692 : Epoch 10, Batch    747, Loss  0.751496, Average Loss  0.770223, Time  0.251152
2021-09-23 02:24:26.348862 : Epoch 10, Batch    748, Loss  0.766255, Average Loss  0.770210, Time  0.254786
2021-09-23 02:24:26.447742 : Epoch  5, Batch    378, Loss  0.871106, Average Loss  0.870295, Time  0.413690
2021-09-23 02:24:28.249908 : Epoch 10, Batch    749, Loss  0.771112, Average Loss  0.770199, Time  0.251318
2021-09-23 02:24:30.155989 : Epoch 10, Batch    750, Loss  0.767911, Average Loss  0.770130, Time  0.257678
2021-09-23 02:24:31.443814 : Epoch  5, Batch    379, Loss  0.864115, Average Loss  0.870266, Time  0.414240
2021-09-23 02:24:32.055240 : Epoch 10, Batch    751, Loss  0.775335, Average Loss  0.770150, Time  0.253027
2021-09-23 02:24:33.949196 : Epoch 10, Batch    752, Loss  0.765272, Average Loss  0.770119, Time  0.254014
2021-09-23 02:24:35.870481 : Epoch 10, Batch    753, Loss  0.768969, Average Loss  0.770056, Time  0.257087
2021-09-23 02:24:36.424941 : Epoch  5, Batch    380, Loss  0.869702, Average Loss  0.870221, Time  0.416385
2021-09-23 02:24:37.766442 : Epoch 10, Batch    754, Loss  0.772565, Average Loss  0.770062, Time  0.256121
2021-09-23 02:24:39.660720 : Epoch 10, Batch    755, Loss  0.755261, Average Loss  0.770011, Time  0.253361
2021-09-23 02:24:41.502838 : Epoch  5, Batch    381, Loss  0.863744, Average Loss  0.870197, Time  0.458358
2021-09-23 02:24:41.569966 : Epoch 10, Batch    756, Loss  0.760380, Average Loss  0.769898, Time  0.252253
2021-09-23 02:24:43.460793 : Epoch 10, Batch    757, Loss  0.772075, Average Loss  0.769881, Time  0.251074
2021-09-23 02:24:45.364979 : Epoch 10, Batch    758, Loss  0.767568, Average Loss  0.769828, Time  0.256260
2021-09-23 02:24:46.485857 : Epoch  5, Batch    382, Loss  0.872240, Average Loss  0.870215, Time  0.413417
2021-09-23 02:24:47.261938 : Epoch 10, Batch    759, Loss  0.776425, Average Loss  0.769867, Time  0.251861
2021-09-23 02:24:49.153975 : Epoch 10, Batch    760, Loss  0.777015, Average Loss  0.769915, Time  0.252575
2021-09-23 02:24:51.050472 : Epoch 10, Batch    761, Loss  0.768401, Average Loss  0.769905, Time  0.255003
2021-09-23 02:24:51.480042 : Epoch  5, Batch    383, Loss  0.868198, Average Loss  0.870201, Time  0.414978
2021-09-23 02:24:52.982547 : Epoch 10, Batch    762, Loss  0.783452, Average Loss  0.769986, Time  0.271952
2021-09-23 02:24:54.890056 : Epoch 10, Batch    763, Loss  0.778793, Average Loss  0.770004, Time  0.251055
2021-09-23 02:24:56.456726 : Epoch  5, Batch    384, Loss  0.862179, Average Loss  0.870144, Time  0.413607
2021-09-23 02:24:56.795963 : Epoch 10, Batch    764, Loss  0.767260, Average Loss  0.770084, Time  0.252417
2021-09-23 02:24:58.683330 : Epoch 10, Batch    765, Loss  0.770899, Average Loss  0.770057, Time  0.254108
2021-09-23 02:25:00.578838 : Epoch 10, Batch    766, Loss  0.767658, Average Loss  0.770000, Time  0.253248
2021-09-23 02:25:01.438939 : Epoch  5, Batch    385, Loss  0.865319, Average Loss  0.870124, Time  0.413198
2021-09-23 02:25:02.473855 : Epoch 10, Batch    767, Loss  0.774903, Average Loss  0.770020, Time  0.251779
2021-09-23 02:25:04.362677 : Epoch 10, Batch    768, Loss  0.772618, Average Loss  0.769991, Time  0.253384
2021-09-23 02:25:06.264812 : Epoch 10, Batch    769, Loss  0.774776, Average Loss  0.770028, Time  0.251026
2021-09-23 02:25:06.466127 : Epoch  5, Batch    386, Loss  0.863479, Average Loss  0.870093, Time  0.413558
2021-09-23 02:25:08.157794 : Epoch 10, Batch    770, Loss  0.769171, Average Loss  0.770022, Time  0.252862
2021-09-23 02:25:10.059913 : Epoch 10, Batch    771, Loss  0.766281, Average Loss  0.769951, Time  0.254149
2021-09-23 02:25:11.499766 : Epoch  5, Batch    387, Loss  0.876329, Average Loss  0.870143, Time  0.413094
2021-09-23 02:25:11.954877 : Epoch 10, Batch    772, Loss  0.765293, Average Loss  0.769957, Time  0.253959
2021-09-23 02:25:13.859801 : Epoch 10, Batch    773, Loss  0.765768, Average Loss  0.769950, Time  0.252245
2021-09-23 02:25:15.754794 : Epoch 10, Batch    774, Loss  0.777239, Average Loss  0.769987, Time  0.252383
2021-09-23 02:25:16.491901 : Epoch  5, Batch    388, Loss  0.853380, Average Loss  0.869963, Time  0.413967
2021-09-23 02:25:17.657889 : Epoch 10, Batch    775, Loss  0.767724, Average Loss  0.769965, Time  0.256971
2021-09-23 02:25:19.553862 : Epoch 10, Batch    776, Loss  0.763624, Average Loss  0.769955, Time  0.251189
2021-09-23 02:25:21.459851 : Epoch 10, Batch    777, Loss  0.759588, Average Loss  0.769944, Time  0.256412
2021-09-23 02:25:23.349507 : Epoch 10, Batch    778, Loss  0.773756, Average Loss  0.770013, Time  0.252209
2021-09-23 02:25:25.255298 : Epoch 10, Batch    779, Loss  0.773620, Average Loss  0.769995, Time  0.251898
2021-09-23 02:25:27.148895 : Epoch 10, Batch    780, Loss  0.774938, Average Loss  0.769961, Time  0.254159
2021-09-23 02:25:29.052068 : Epoch 10, Batch    781, Loss  0.767817, Average Loss  0.769961, Time  0.253757
2021-09-23 02:25:30.953547 : Epoch 10, Batch    782, Loss  0.771041, Average Loss  0.769975, Time  0.254887
2021-09-23 02:25:32.856594 : Epoch 10, Batch    783, Loss  0.762643, Average Loss  0.770003, Time  0.254061
2021-09-23 02:25:34.750510 : Epoch 10, Batch    784, Loss  0.782462, Average Loss  0.770144, Time  0.253119
2021-09-23 02:25:36.641418 : Epoch 10, Batch    785, Loss  0.769890, Average Loss  0.770080, Time  0.253489
2021-09-23 02:25:38.552898 : Epoch 10, Batch    786, Loss  0.773313, Average Loss  0.770094, Time  0.253884
2021-09-23 02:25:40.454799 : Epoch 10, Batch    787, Loss  0.778370, Average Loss  0.770082, Time  0.252195
2021-09-23 02:25:40.500501 : Saving Model after 10-th Epoch.
2021-09-23 02:25:43.151396 : Epoch Finished.
2021-09-23 02:29:14.613781 : CheckPoint: Validation Loss  0.00015349, Best Loss  0.00014643
2021-09-23 02:29:19.663772 : Epoch  5, Batch    389, Loss  0.885696, Average Loss  0.870014, Time  0.460104
2021-09-23 02:29:24.643813 : Epoch  5, Batch    390, Loss  0.880533, Average Loss  0.869965, Time  0.413367
2021-09-23 02:29:29.622817 : Epoch  5, Batch    391, Loss  0.852123, Average Loss  0.869908, Time  0.414004
2021-09-23 02:29:34.588779 : Epoch  5, Batch    392, Loss  0.860642, Average Loss  0.869910, Time  0.413584
2021-09-23 02:29:39.571962 : Epoch  5, Batch    393, Loss  0.867094, Average Loss  0.869895, Time  0.414095
2021-09-23 02:29:44.552766 : Epoch  5, Batch    394, Loss  0.864314, Average Loss  0.869875, Time  0.414001
2021-09-23 02:29:49.524822 : Epoch  5, Batch    395, Loss  0.853114, Average Loss  0.869728, Time  0.413474
2021-09-23 02:29:54.505942 : Epoch  5, Batch    396, Loss  0.873139, Average Loss  0.869747, Time  0.413505
2021-09-23 02:29:59.495685 : Epoch  5, Batch    397, Loss  0.872066, Average Loss  0.869800, Time  0.415077
2021-09-23 02:30:04.528894 : Epoch  5, Batch    398, Loss  0.883471, Average Loss  0.869816, Time  0.459826
2021-09-23 02:30:09.508704 : Epoch  5, Batch    399, Loss  0.861763, Average Loss  0.869839, Time  0.413007
2021-09-23 02:30:14.486168 : Epoch  5, Batch    400, Loss  0.879293, Average Loss  0.869850, Time  0.413356
2021-09-23 02:30:19.470790 : Epoch  5, Batch    401, Loss  0.865999, Average Loss  0.869915, Time  0.413504
2021-09-23 02:30:24.452878 : Epoch  5, Batch    402, Loss  0.844555, Average Loss  0.869784, Time  0.415195
2021-09-23 02:30:29.435875 : Epoch  5, Batch    403, Loss  0.872485, Average Loss  0.869777, Time  0.413649
2021-09-23 02:30:34.434039 : Epoch  5, Batch    404, Loss  0.880941, Average Loss  0.869865, Time  0.423882
2021-09-23 02:30:39.419081 : Epoch  5, Batch    405, Loss  0.871938, Average Loss  0.869850, Time  0.413972
2021-09-23 02:30:44.444873 : Epoch  5, Batch    406, Loss  0.851418, Average Loss  0.869761, Time  0.414329
2021-09-23 02:30:49.456967 : Epoch  5, Batch    407, Loss  0.855618, Average Loss  0.869672, Time  0.450008
2021-09-23 02:30:54.423085 : Epoch  5, Batch    408, Loss  0.867604, Average Loss  0.869693, Time  0.413427
2021-09-23 02:30:59.456722 : Epoch  5, Batch    409, Loss  0.872461, Average Loss  0.869688, Time  0.413735
2021-09-23 02:31:04.434830 : Epoch  5, Batch    410, Loss  0.864206, Average Loss  0.869756, Time  0.413091
2021-09-23 02:31:09.430794 : Epoch  5, Batch    411, Loss  0.880767, Average Loss  0.869795, Time  0.413522
2021-09-23 02:31:14.412388 : Epoch  5, Batch    412, Loss  0.858651, Average Loss  0.869698, Time  0.413174
2021-09-23 02:31:19.386818 : Epoch  5, Batch    413, Loss  0.867781, Average Loss  0.869626, Time  0.413300
2021-09-23 02:31:24.388760 : Epoch  5, Batch    414, Loss  0.864885, Average Loss  0.869701, Time  0.413927
2021-09-23 02:31:29.378904 : Epoch  5, Batch    415, Loss  0.851964, Average Loss  0.869654, Time  0.414968
2021-09-23 02:31:34.420111 : Epoch  5, Batch    416, Loss  0.868237, Average Loss  0.869624, Time  0.457273
2021-09-23 02:31:39.400823 : Epoch  5, Batch    417, Loss  0.877982, Average Loss  0.869607, Time  0.413626
2021-09-23 02:31:44.384885 : Epoch  5, Batch    418, Loss  0.880284, Average Loss  0.869606, Time  0.414637
2021-09-23 02:31:49.378812 : Epoch  5, Batch    419, Loss  0.872915, Average Loss  0.869657, Time  0.413349
2021-09-23 02:31:54.386798 : Epoch  5, Batch    420, Loss  0.873738, Average Loss  0.869708, Time  0.413508
2021-09-23 02:31:59.369767 : Epoch  5, Batch    421, Loss  0.848929, Average Loss  0.869601, Time  0.413836
2021-09-23 02:32:04.349926 : Epoch  5, Batch    422, Loss  0.868360, Average Loss  0.869577, Time  0.413262
2021-09-23 02:32:09.332837 : Epoch  5, Batch    423, Loss  0.876980, Average Loss  0.869575, Time  0.413022
2021-09-23 02:32:14.330144 : Epoch  5, Batch    424, Loss  0.858102, Average Loss  0.869469, Time  0.413346
2021-09-23 02:32:19.486764 : Epoch  5, Batch    425, Loss  0.866096, Average Loss  0.869453, Time  0.455379
2021-09-23 02:32:24.471774 : Epoch  5, Batch    426, Loss  0.870571, Average Loss  0.869402, Time  0.413317
2021-09-23 02:32:29.465856 : Epoch  5, Batch    427, Loss  0.861651, Average Loss  0.869331, Time  0.414740
2021-09-23 02:32:34.498877 : Epoch  5, Batch    428, Loss  0.878502, Average Loss  0.869416, Time  0.413631
2021-09-23 02:32:39.477795 : Epoch  5, Batch    429, Loss  0.854355, Average Loss  0.869311, Time  0.414403
2021-09-23 02:32:44.496903 : Epoch  5, Batch    430, Loss  0.863837, Average Loss  0.869346, Time  0.413685
2021-09-23 02:32:49.510029 : Epoch  5, Batch    431, Loss  0.882340, Average Loss  0.869372, Time  0.413861
2021-09-23 02:32:54.496269 : Epoch  5, Batch    432, Loss  0.869718, Average Loss  0.869352, Time  0.413633
2021-09-23 02:32:59.472162 : Epoch  5, Batch    433, Loss  0.875596, Average Loss  0.869416, Time  0.413450
2021-09-23 02:33:04.493893 : Epoch  5, Batch    434, Loss  0.865615, Average Loss  0.869414, Time  0.457649
2021-09-23 02:33:09.506751 : Epoch  5, Batch    435, Loss  0.869409, Average Loss  0.869438, Time  0.413501
2021-09-23 02:33:14.484349 : Epoch  5, Batch    436, Loss  0.884642, Average Loss  0.869444, Time  0.413553
2021-09-23 02:33:19.465747 : Epoch  5, Batch    437, Loss  0.873441, Average Loss  0.869492, Time  0.413417
2021-09-23 02:33:24.437447 : Epoch  5, Batch    438, Loss  0.866495, Average Loss  0.869366, Time  0.413781
2021-09-23 02:33:29.416905 : Epoch  5, Batch    439, Loss  0.876208, Average Loss  0.869513, Time  0.413582
2021-09-23 02:33:34.412768 : Epoch  5, Batch    440, Loss  0.855171, Average Loss  0.869378, Time  0.414301
2021-09-23 02:33:39.390781 : Epoch  5, Batch    441, Loss  0.861722, Average Loss  0.869309, Time  0.413811
2021-09-23 02:33:44.368122 : Epoch  5, Batch    442, Loss  0.885156, Average Loss  0.869330, Time  0.413903
2021-09-23 02:33:49.389983 : Epoch  5, Batch    443, Loss  0.877906, Average Loss  0.869341, Time  0.453471
2021-09-23 02:33:54.488764 : Epoch  5, Batch    444, Loss  0.857368, Average Loss  0.869316, Time  0.413525
2021-09-23 02:33:59.466961 : Epoch  5, Batch    445, Loss  0.882505, Average Loss  0.869391, Time  0.413665
2021-09-23 02:34:04.463743 : Epoch  5, Batch    446, Loss  0.848642, Average Loss  0.869255, Time  0.413436
2021-09-23 02:34:09.473014 : Epoch  5, Batch    447, Loss  0.870591, Average Loss  0.869258, Time  0.423548
2021-09-23 02:34:14.461848 : Epoch  5, Batch    448, Loss  0.848126, Average Loss  0.869181, Time  0.413625
2021-09-23 02:34:19.435761 : Epoch  5, Batch    449, Loss  0.881171, Average Loss  0.869251, Time  0.413435
2021-09-23 02:34:24.421786 : Epoch  5, Batch    450, Loss  0.882910, Average Loss  0.869339, Time  0.412961
2021-09-23 02:34:29.406754 : Epoch  5, Batch    451, Loss  0.868114, Average Loss  0.869331, Time  0.413179
2021-09-23 02:34:34.461275 : Epoch  5, Batch    452, Loss  0.874768, Average Loss  0.869316, Time  0.446432
2021-09-23 02:34:39.464756 : Epoch  5, Batch    453, Loss  0.872754, Average Loss  0.869295, Time  0.414599
2021-09-23 02:34:44.444848 : Epoch  5, Batch    454, Loss  0.877509, Average Loss  0.869356, Time  0.413975
2021-09-23 02:34:49.436814 : Epoch  5, Batch    455, Loss  0.848438, Average Loss  0.869218, Time  0.414345
2021-09-23 02:34:54.414034 : Epoch  5, Batch    456, Loss  0.866793, Average Loss  0.869128, Time  0.416538
2021-09-23 02:34:59.387044 : Epoch  5, Batch    457, Loss  0.879482, Average Loss  0.869209, Time  0.413432
2021-09-23 02:35:04.369782 : Epoch  5, Batch    458, Loss  0.862909, Average Loss  0.869153, Time  0.413674
2021-09-23 02:35:09.348137 : Epoch  5, Batch    459, Loss  0.863498, Average Loss  0.869161, Time  0.413190
2021-09-23 02:35:14.327231 : Epoch  5, Batch    460, Loss  0.879127, Average Loss  0.869202, Time  0.413250
2021-09-23 02:35:19.301779 : Epoch  5, Batch    461, Loss  0.869773, Average Loss  0.869263, Time  0.413283
2021-09-23 02:35:24.312001 : Epoch  5, Batch    462, Loss  0.866244, Average Loss  0.869334, Time  0.452933
2021-09-23 02:35:29.279902 : Epoch  5, Batch    463, Loss  0.859530, Average Loss  0.869264, Time  0.413429
2021-09-23 02:35:34.257764 : Epoch  5, Batch    464, Loss  0.886738, Average Loss  0.869381, Time  0.413114
2021-09-23 02:35:39.237763 : Epoch  5, Batch    465, Loss  0.873265, Average Loss  0.869366, Time  0.413215
2021-09-23 02:35:44.223735 : Epoch  5, Batch    466, Loss  0.884121, Average Loss  0.869448, Time  0.414231
2021-09-23 02:35:49.205988 : Epoch  5, Batch    467, Loss  0.867448, Average Loss  0.869409, Time  0.414118
2021-09-23 02:35:54.184029 : Epoch  5, Batch    468, Loss  0.870472, Average Loss  0.869409, Time  0.413643
2021-09-23 02:35:59.160010 : Epoch  5, Batch    469, Loss  0.869941, Average Loss  0.869491, Time  0.413835
2021-09-23 02:36:04.164182 : Epoch  5, Batch    470, Loss  0.890631, Average Loss  0.869602, Time  0.423468
2021-09-23 02:36:09.181819 : Epoch  5, Batch    471, Loss  0.851596, Average Loss  0.869542, Time  0.448759
2021-09-23 02:36:14.169864 : Epoch  5, Batch    472, Loss  0.875507, Average Loss  0.869478, Time  0.413208
2021-09-23 02:36:19.153803 : Epoch  5, Batch    473, Loss  0.858971, Average Loss  0.869375, Time  0.413510
2021-09-23 02:36:24.136725 : Epoch  5, Batch    474, Loss  0.872081, Average Loss  0.869399, Time  0.413323
2021-09-23 02:36:29.123134 : Epoch  5, Batch    475, Loss  0.866684, Average Loss  0.869390, Time  0.416333
2021-09-23 02:36:34.092178 : Epoch  5, Batch    476, Loss  0.873146, Average Loss  0.869450, Time  0.413431
2021-09-23 02:36:39.063001 : Epoch  5, Batch    477, Loss  0.870697, Average Loss  0.869473, Time  0.414055
2021-09-23 02:36:44.050748 : Epoch  5, Batch    478, Loss  0.866031, Average Loss  0.869430, Time  0.414718
2021-09-23 02:36:49.044769 : Epoch  5, Batch    479, Loss  0.864370, Average Loss  0.869384, Time  0.413674
2021-09-23 02:36:54.088110 : Epoch  5, Batch    480, Loss  0.878060, Average Loss  0.869406, Time  0.468127
2021-09-23 02:36:59.069135 : Epoch  5, Batch    481, Loss  0.851773, Average Loss  0.869344, Time  0.420232
2021-09-23 02:37:04.060795 : Epoch  5, Batch    482, Loss  0.874302, Average Loss  0.869411, Time  0.413522
2021-09-23 02:37:09.054760 : Epoch  5, Batch    483, Loss  0.878711, Average Loss  0.869425, Time  0.413301
2021-09-23 02:37:14.035827 : Epoch  5, Batch    484, Loss  0.870677, Average Loss  0.869439, Time  0.415032
2021-09-23 02:37:19.008982 : Epoch  5, Batch    485, Loss  0.863595, Average Loss  0.869485, Time  0.413046
2021-09-23 02:37:23.979808 : Epoch  5, Batch    486, Loss  0.874666, Average Loss  0.869470, Time  0.413396
2021-09-23 02:37:28.947975 : Epoch  5, Batch    487, Loss  0.864290, Average Loss  0.869436, Time  0.413103
2021-09-23 02:37:33.920950 : Epoch  5, Batch    488, Loss  0.874527, Average Loss  0.869473, Time  0.413203
2021-09-23 02:41:32.227745 : CheckPoint: Validation Loss  0.00015159, Best Loss  0.00014643
2021-09-23 02:41:37.318063 : Epoch  5, Batch    489, Loss  0.862361, Average Loss  0.869385, Time  0.418438
2021-09-23 02:41:42.284475 : Epoch  5, Batch    490, Loss  0.865412, Average Loss  0.869393, Time  0.413894
2021-09-23 02:41:47.228764 : Epoch  5, Batch    491, Loss  0.884401, Average Loss  0.869471, Time  0.413870
2021-09-23 02:41:52.162928 : Epoch  5, Batch    492, Loss  0.870155, Average Loss  0.869416, Time  0.413116
2021-09-23 02:41:57.130759 : Epoch  5, Batch    493, Loss  0.882089, Average Loss  0.869468, Time  0.413687
2021-09-23 02:42:02.079962 : Epoch  5, Batch    494, Loss  0.861094, Average Loss  0.869447, Time  0.413463
2021-09-23 02:42:07.033954 : Epoch  5, Batch    495, Loss  0.867023, Average Loss  0.869417, Time  0.413809
2021-09-23 02:42:11.975952 : Epoch  5, Batch    496, Loss  0.879162, Average Loss  0.869552, Time  0.414016
2021-09-23 02:42:16.934038 : Epoch  5, Batch    497, Loss  0.863196, Average Loss  0.869530, Time  0.413120
2021-09-23 02:42:21.934854 : Epoch  5, Batch    498, Loss  0.858740, Average Loss  0.869510, Time  0.466910
2021-09-23 02:42:26.885932 : Epoch  5, Batch    499, Loss  0.862841, Average Loss  0.869485, Time  0.415635
2021-09-23 02:42:31.845899 : Epoch  5, Batch    500, Loss  0.854411, Average Loss  0.869466, Time  0.413327
2021-09-23 02:42:36.814741 : Epoch  5, Batch    501, Loss  0.882354, Average Loss  0.869552, Time  0.413709
2021-09-23 02:42:41.771740 : Epoch  5, Batch    502, Loss  0.870783, Average Loss  0.869585, Time  0.414339
2021-09-23 02:42:46.719800 : Epoch  5, Batch    503, Loss  0.866212, Average Loss  0.869539, Time  0.414042
2021-09-23 02:42:51.682034 : Epoch  5, Batch    504, Loss  0.868000, Average Loss  0.869528, Time  0.413614
2021-09-23 02:42:56.637741 : Epoch  5, Batch    505, Loss  0.870702, Average Loss  0.869541, Time  0.413961
2021-09-23 02:43:01.586982 : Epoch  5, Batch    506, Loss  0.876955, Average Loss  0.869527, Time  0.413232
2021-09-23 02:43:06.583852 : Epoch  5, Batch    507, Loss  0.865858, Average Loss  0.869471, Time  0.458616
2021-09-23 02:43:11.527961 : Epoch  5, Batch    508, Loss  0.857284, Average Loss  0.869350, Time  0.413681
2021-09-23 02:43:16.473914 : Epoch  5, Batch    509, Loss  0.860893, Average Loss  0.869303, Time  0.413352
2021-09-23 02:43:21.414786 : Epoch  5, Batch    510, Loss  0.863218, Average Loss  0.869243, Time  0.413291
2021-09-23 02:43:26.366068 : Epoch  5, Batch    511, Loss  0.886518, Average Loss  0.869353, Time  0.413107
2021-09-23 02:43:31.333958 : Epoch  5, Batch    512, Loss  0.861367, Average Loss  0.869371, Time  0.413832
2021-09-23 02:43:36.284685 : Epoch  5, Batch    513, Loss  0.861371, Average Loss  0.869367, Time  0.413368
2021-09-23 02:43:41.234143 : Epoch  5, Batch    514, Loss  0.880987, Average Loss  0.869444, Time  0.413574
2021-09-23 02:43:46.178920 : Epoch  5, Batch    515, Loss  0.853120, Average Loss  0.869426, Time  0.414351
2021-09-23 02:43:51.137874 : Epoch  5, Batch    516, Loss  0.863154, Average Loss  0.869407, Time  0.414446
2021-09-23 02:43:56.130869 : Epoch  5, Batch    517, Loss  0.871672, Average Loss  0.869385, Time  0.450513
2021-09-23 02:44:01.118769 : Epoch  5, Batch    518, Loss  0.869713, Average Loss  0.869336, Time  0.413729
2021-09-23 02:44:06.074972 : Epoch  5, Batch    519, Loss  0.872249, Average Loss  0.869281, Time  0.413446
2021-09-23 02:44:11.027848 : Epoch  5, Batch    520, Loss  0.883827, Average Loss  0.869356, Time  0.413591
2021-09-23 02:44:16.027758 : Epoch  5, Batch    521, Loss  0.872033, Average Loss  0.869458, Time  0.413351
2021-09-23 02:44:20.983131 : Epoch  5, Batch    522, Loss  0.874751, Average Loss  0.869505, Time  0.413580
2021-09-23 02:44:25.930196 : Epoch  5, Batch    523, Loss  0.876281, Average Loss  0.869507, Time  0.423311
2021-09-23 02:44:30.874034 : Epoch  5, Batch    524, Loss  0.859861, Average Loss  0.869524, Time  0.413308
2021-09-23 02:44:35.822757 : Epoch  5, Batch    525, Loss  0.857481, Average Loss  0.869414, Time  0.413088
2021-09-23 02:44:40.818818 : Epoch  5, Batch    526, Loss  0.882131, Average Loss  0.869521, Time  0.450745
2021-09-23 02:44:45.779724 : Epoch  5, Batch    527, Loss  0.874158, Average Loss  0.869505, Time  0.414450
2021-09-23 02:44:50.742810 : Epoch  5, Batch    528, Loss  0.870749, Average Loss  0.869478, Time  0.414771
2021-09-23 02:44:55.733827 : Epoch  5, Batch    529, Loss  0.853106, Average Loss  0.869335, Time  0.413992
2021-09-23 02:45:00.675950 : Epoch  5, Batch    530, Loss  0.864188, Average Loss  0.869240, Time  0.413733
2021-09-23 02:45:05.658138 : Epoch  5, Batch    531, Loss  0.873392, Average Loss  0.869274, Time  0.413476
2021-09-23 02:45:10.604140 : Epoch  5, Batch    532, Loss  0.887447, Average Loss  0.869388, Time  0.413464
2021-09-23 02:45:15.558789 : Epoch  5, Batch    533, Loss  0.872722, Average Loss  0.869405, Time  0.413689
2021-09-23 02:45:20.524803 : Epoch  5, Batch    534, Loss  0.868561, Average Loss  0.869407, Time  0.413469
2021-09-23 02:45:25.498829 : Epoch  5, Batch    535, Loss  0.862925, Average Loss  0.869305, Time  0.438273
2021-09-23 02:45:30.440090 : Epoch  5, Batch    536, Loss  0.876410, Average Loss  0.869353, Time  0.413250
2021-09-23 02:45:35.387946 : Epoch  5, Batch    537, Loss  0.870800, Average Loss  0.869284, Time  0.413108
2021-09-23 02:45:40.332966 : Epoch  5, Batch    538, Loss  0.879042, Average Loss  0.869378, Time  0.413443
2021-09-23 02:45:45.283736 : Epoch  5, Batch    539, Loss  0.872028, Average Loss  0.869330, Time  0.413481
2021-09-23 02:45:50.332810 : Epoch  5, Batch    540, Loss  0.866077, Average Loss  0.869362, Time  0.414628
2021-09-23 02:45:55.288761 : Epoch  5, Batch    541, Loss  0.884043, Average Loss  0.869405, Time  0.414097
2021-09-23 02:46:00.239036 : Epoch  5, Batch    542, Loss  0.870076, Average Loss  0.869439, Time  0.414091
2021-09-23 02:46:05.185752 : Epoch  5, Batch    543, Loss  0.871470, Average Loss  0.869464, Time  0.413759
2021-09-23 02:46:10.145079 : Epoch  5, Batch    544, Loss  0.863491, Average Loss  0.869480, Time  0.413400
2021-09-23 02:46:15.129468 : Epoch  5, Batch    545, Loss  0.872205, Average Loss  0.869459, Time  0.460539
2021-09-23 02:46:20.087928 : Epoch  5, Batch    546, Loss  0.879443, Average Loss  0.869461, Time  0.413710
2021-09-23 02:46:25.039174 : Epoch  5, Batch    547, Loss  0.865052, Average Loss  0.869411, Time  0.413225
2021-09-23 02:46:30.004837 : Epoch  5, Batch    548, Loss  0.871649, Average Loss  0.869540, Time  0.413558
2021-09-23 02:46:34.961778 : Epoch  5, Batch    549, Loss  0.876573, Average Loss  0.869560, Time  0.420740
2021-09-23 02:46:39.902974 : Epoch  5, Batch    550, Loss  0.857201, Average Loss  0.869541, Time  0.413080
2021-09-23 02:46:44.859811 : Epoch  5, Batch    551, Loss  0.864526, Average Loss  0.869502, Time  0.413003
2021-09-23 02:46:49.827906 : Epoch  5, Batch    552, Loss  0.880497, Average Loss  0.869626, Time  0.413394
2021-09-23 02:46:54.778891 : Epoch  5, Batch    553, Loss  0.855861, Average Loss  0.869608, Time  0.414177
2021-09-23 02:46:59.785996 : Epoch  5, Batch    554, Loss  0.855336, Average Loss  0.869492, Time  0.468584
2021-09-23 02:47:04.739858 : Epoch  5, Batch    555, Loss  0.858413, Average Loss  0.869376, Time  0.415628
2021-09-23 02:47:09.697008 : Epoch  5, Batch    556, Loss  0.866927, Average Loss  0.869408, Time  0.415082
2021-09-23 02:47:14.638743 : Epoch  5, Batch    557, Loss  0.869320, Average Loss  0.869342, Time  0.413124
2021-09-23 02:47:19.579996 : Epoch  5, Batch    558, Loss  0.862881, Average Loss  0.869316, Time  0.413379
2021-09-23 02:47:24.534325 : Epoch  5, Batch    559, Loss  0.869974, Average Loss  0.869265, Time  0.413439
2021-09-23 02:47:29.478715 : Epoch  5, Batch    560, Loss  0.864058, Average Loss  0.869231, Time  0.413540
2021-09-23 02:47:34.425941 : Epoch  5, Batch    561, Loss  0.857665, Average Loss  0.869176, Time  0.413329
2021-09-23 02:47:39.382028 : Epoch  5, Batch    562, Loss  0.883479, Average Loss  0.869147, Time  0.413191
2021-09-23 02:47:44.327752 : Epoch  5, Batch    563, Loss  0.869053, Average Loss  0.869102, Time  0.413319
2021-09-23 02:47:49.331018 : Epoch  5, Batch    564, Loss  0.866607, Average Loss  0.869061, Time  0.461641
2021-09-23 02:47:54.284743 : Epoch  5, Batch    565, Loss  0.853753, Average Loss  0.868927, Time  0.415637
2021-09-23 02:47:59.228775 : Epoch  5, Batch    566, Loss  0.858280, Average Loss  0.868848, Time  0.413690
2021-09-23 02:48:04.182999 : Epoch  5, Batch    567, Loss  0.881564, Average Loss  0.868827, Time  0.413456
2021-09-23 02:48:09.138781 : Epoch  5, Batch    568, Loss  0.884999, Average Loss  0.868854, Time  0.423542
2021-09-23 02:48:14.088965 : Epoch  5, Batch    569, Loss  0.858660, Average Loss  0.868824, Time  0.413751
2021-09-23 02:48:19.014062 : Epoch  5, Batch    570, Loss  0.871475, Average Loss  0.868841, Time  0.413489
2021-09-23 02:48:23.949752 : Epoch  5, Batch    571, Loss  0.873708, Average Loss  0.868863, Time  0.413048
2021-09-23 02:48:28.899933 : Epoch  5, Batch    572, Loss  0.874621, Average Loss  0.868800, Time  0.413422
2021-09-23 02:48:33.900922 : Epoch  5, Batch    573, Loss  0.879173, Average Loss  0.868944, Time  0.457889
2021-09-23 02:48:38.867604 : Epoch  5, Batch    574, Loss  0.885090, Average Loss  0.869060, Time  0.414496
2021-09-23 02:48:43.835799 : Epoch  5, Batch    575, Loss  0.867414, Average Loss  0.869087, Time  0.414106
2021-09-23 02:48:48.774911 : Epoch  5, Batch    576, Loss  0.872125, Average Loss  0.869074, Time  0.414910
2021-09-23 02:48:53.704784 : Epoch  5, Batch    577, Loss  0.888473, Average Loss  0.869136, Time  0.413118
2021-09-23 02:48:58.750055 : Epoch  5, Batch    578, Loss  0.874539, Average Loss  0.869153, Time  0.414275
2021-09-23 02:49:03.693241 : Epoch  5, Batch    579, Loss  0.870855, Average Loss  0.869187, Time  0.413607
2021-09-23 02:49:08.688816 : Epoch  5, Batch    580, Loss  0.877466, Average Loss  0.869226, Time  0.414140
2021-09-23 02:49:13.648811 : Epoch  5, Batch    581, Loss  0.845196, Average Loss  0.869133, Time  0.413869
2021-09-23 02:49:18.634758 : Epoch  5, Batch    582, Loss  0.870176, Average Loss  0.869123, Time  0.451777
2021-09-23 02:49:23.579075 : Epoch  5, Batch    583, Loss  0.872103, Average Loss  0.869142, Time  0.413421
2021-09-23 02:49:28.521939 : Epoch  5, Batch    584, Loss  0.871637, Average Loss  0.869190, Time  0.413064
2021-09-23 02:49:33.474924 : Epoch  5, Batch    585, Loss  0.869498, Average Loss  0.869210, Time  0.413048
2021-09-23 02:49:38.414784 : Epoch  5, Batch    586, Loss  0.859854, Average Loss  0.869192, Time  0.413451
2021-09-23 02:49:43.373964 : Epoch  5, Batch    587, Loss  0.881105, Average Loss  0.869216, Time  0.422040
2021-09-23 02:49:48.314731 : Epoch  5, Batch    588, Loss  0.853568, Average Loss  0.869217, Time  0.413397
2021-09-23 02:53:47.123755 : CheckPoint: Validation Loss  0.00015208, Best Loss  0.00014643
2021-09-23 02:53:52.166794 : Epoch  5, Batch    589, Loss  0.855637, Average Loss  0.869067, Time  0.414562
2021-09-23 02:53:57.154079 : Epoch  5, Batch    590, Loss  0.864685, Average Loss  0.868988, Time  0.450931
2021-09-23 02:54:02.088948 : Epoch  5, Batch    591, Loss  0.870197, Average Loss  0.869078, Time  0.412894
2021-09-23 02:54:07.037700 : Epoch  5, Batch    592, Loss  0.855136, Average Loss  0.869050, Time  0.417010
2021-09-23 02:54:11.976957 : Epoch  5, Batch    593, Loss  0.859871, Average Loss  0.869014, Time  0.413672
2021-09-23 02:54:16.936117 : Epoch  5, Batch    594, Loss  0.871740, Average Loss  0.869051, Time  0.412993
2021-09-23 02:54:21.884966 : Epoch  5, Batch    595, Loss  0.867265, Average Loss  0.869122, Time  0.423398
2021-09-23 02:54:26.836169 : Epoch  5, Batch    596, Loss  0.886309, Average Loss  0.869188, Time  0.413034
2021-09-23 02:54:31.776946 : Epoch  5, Batch    597, Loss  0.863111, Average Loss  0.869143, Time  0.413532
2021-09-23 02:54:36.718886 : Epoch  5, Batch    598, Loss  0.873274, Average Loss  0.869092, Time  0.413633
2021-09-23 02:54:41.705940 : Epoch  5, Batch    599, Loss  0.877136, Average Loss  0.869169, Time  0.452381
2021-09-23 02:54:46.639816 : Epoch  5, Batch    600, Loss  0.863649, Average Loss  0.869091, Time  0.414504
2021-09-23 02:54:51.623735 : Epoch  5, Batch    601, Loss  0.879270, Average Loss  0.869157, Time  0.414344
2021-09-23 02:54:56.608766 : Epoch  5, Batch    602, Loss  0.869405, Average Loss  0.869282, Time  0.413431
2021-09-23 02:55:01.563933 : Epoch  5, Batch    603, Loss  0.883586, Average Loss  0.869337, Time  0.414284
2021-09-23 02:55:06.531953 : Epoch  5, Batch    604, Loss  0.870592, Average Loss  0.869285, Time  0.413123
2021-09-23 02:55:11.543943 : Epoch  5, Batch    605, Loss  0.880216, Average Loss  0.869327, Time  0.413910
2021-09-23 02:55:16.501028 : Epoch  5, Batch    606, Loss  0.881494, Average Loss  0.869477, Time  0.413424
2021-09-23 02:55:21.460946 : Epoch  5, Batch    607, Loss  0.870477, Average Loss  0.869551, Time  0.413317
2021-09-23 02:55:26.488118 : Epoch  5, Batch    608, Loss  0.850986, Average Loss  0.869468, Time  0.459275
2021-09-23 02:55:31.436977 : Epoch  5, Batch    609, Loss  0.872564, Average Loss  0.869469, Time  0.413323
2021-09-23 02:55:36.388728 : Epoch  5, Batch    610, Loss  0.859842, Average Loss  0.869447, Time  0.413862
2021-09-23 02:55:41.342006 : Epoch  5, Batch    611, Loss  0.869668, Average Loss  0.869391, Time  0.412987
2021-09-23 02:55:46.269949 : Epoch  5, Batch    612, Loss  0.884204, Average Loss  0.869519, Time  0.413392
2021-09-23 02:55:51.210155 : Epoch  5, Batch    613, Loss  0.875119, Average Loss  0.869556, Time  0.413313
2021-09-23 02:55:56.157779 : Epoch  5, Batch    614, Loss  0.875020, Average Loss  0.869607, Time  0.414607
2021-09-23 02:56:01.109755 : Epoch  5, Batch    615, Loss  0.878116, Average Loss  0.869737, Time  0.413570
2021-09-23 02:56:06.045006 : Epoch  5, Batch    616, Loss  0.855149, Average Loss  0.869672, Time  0.413920
2021-09-23 02:56:10.993725 : Epoch  5, Batch    617, Loss  0.861639, Average Loss  0.869590, Time  0.413618
2021-09-23 02:56:15.994825 : Epoch  5, Batch    618, Loss  0.868893, Average Loss  0.869533, Time  0.468299
2021-09-23 02:56:20.932930 : Epoch  5, Batch    619, Loss  0.877064, Average Loss  0.869554, Time  0.416613
2021-09-23 02:56:25.870842 : Epoch  5, Batch    620, Loss  0.860260, Average Loss  0.869487, Time  0.414041
2021-09-23 02:56:30.807954 : Epoch  5, Batch    621, Loss  0.864887, Average Loss  0.869566, Time  0.413787
2021-09-23 02:56:35.777010 : Epoch  5, Batch    622, Loss  0.862628, Average Loss  0.869538, Time  0.413506
2021-09-23 02:56:40.729128 : Epoch  5, Batch    623, Loss  0.867379, Average Loss  0.869490, Time  0.413704
2021-09-23 02:56:45.662758 : Epoch  5, Batch    624, Loss  0.872743, Average Loss  0.869563, Time  0.413201
2021-09-23 02:56:50.663085 : Epoch  5, Batch    625, Loss  0.874797, Average Loss  0.869606, Time  0.413680
2021-09-23 02:56:55.625351 : Epoch  5, Batch    626, Loss  0.874446, Average Loss  0.869626, Time  0.413272
2021-09-23 02:57:00.630721 : Epoch  5, Batch    627, Loss  0.859979, Average Loss  0.869617, Time  0.454962
2021-09-23 02:57:05.620794 : Epoch  5, Batch    628, Loss  0.874989, Average Loss  0.869600, Time  0.414268
2021-09-23 02:57:10.561764 : Epoch  5, Batch    629, Loss  0.870264, Average Loss  0.869679, Time  0.413592
2021-09-23 02:57:15.551938 : Epoch  5, Batch    630, Loss  0.878970, Average Loss  0.869755, Time  0.415236
2021-09-23 02:57:20.506944 : Epoch  5, Batch    631, Loss  0.867150, Average Loss  0.869679, Time  0.413605
2021-09-23 02:57:25.452813 : Epoch  5, Batch    632, Loss  0.867956, Average Loss  0.869670, Time  0.413233
2021-09-23 02:57:30.434933 : Epoch  5, Batch    633, Loss  0.869547, Average Loss  0.869640, Time  0.413592
2021-09-23 02:57:35.375730 : Epoch  5, Batch    634, Loss  0.878640, Average Loss  0.869705, Time  0.413562
2021-09-23 02:57:40.382871 : Epoch  5, Batch    635, Loss  0.854845, Average Loss  0.869632, Time  0.413317
2021-09-23 02:57:45.330757 : Epoch  5, Batch    636, Loss  0.855729, Average Loss  0.869488, Time  0.413665
2021-09-23 02:57:50.319829 : Epoch  5, Batch    637, Loss  0.858055, Average Loss  0.869411, Time  0.456659
2021-09-23 02:57:55.297941 : Epoch  5, Batch    638, Loss  0.854772, Average Loss  0.869352, Time  0.413559
2021-09-23 02:58:00.252117 : Epoch  5, Batch    639, Loss  0.865040, Average Loss  0.869296, Time  0.413644
2021-09-23 02:58:05.221760 : Epoch  5, Batch    640, Loss  0.868643, Average Loss  0.869364, Time  0.414669
2021-09-23 02:58:10.179790 : Epoch  5, Batch    641, Loss  0.855269, Average Loss  0.869332, Time  0.414240
2021-09-23 02:58:15.121934 : Epoch  5, Batch    642, Loss  0.869563, Average Loss  0.869254, Time  0.413474
2021-09-23 02:58:20.080416 : Epoch  5, Batch    643, Loss  0.864150, Average Loss  0.869185, Time  0.417212
2021-09-23 02:58:25.020978 : Epoch  5, Batch    644, Loss  0.855313, Average Loss  0.869175, Time  0.413259
2021-09-23 02:58:29.960904 : Epoch  5, Batch    645, Loss  0.877027, Average Loss  0.869147, Time  0.413569
2021-09-23 02:58:34.945928 : Epoch  5, Batch    646, Loss  0.869852, Average Loss  0.869253, Time  0.461301
2021-09-23 02:58:39.883728 : Epoch  5, Batch    647, Loss  0.879946, Average Loss  0.869300, Time  0.413084
2021-09-23 02:58:44.820619 : Epoch  5, Batch    648, Loss  0.863816, Average Loss  0.869378, Time  0.413370
2021-09-23 02:58:49.752747 : Epoch  5, Batch    649, Loss  0.867517, Average Loss  0.869310, Time  0.412945
2021-09-23 02:58:54.707904 : Epoch  5, Batch    650, Loss  0.878734, Average Loss  0.869289, Time  0.413331
2021-09-23 02:58:59.656932 : Epoch  5, Batch    651, Loss  0.855659, Average Loss  0.869227, Time  0.413331
2021-09-23 02:59:04.618026 : Epoch  5, Batch    652, Loss  0.863573, Average Loss  0.869171, Time  0.414484
2021-09-23 02:59:09.567280 : Epoch  5, Batch    653, Loss  0.865532, Average Loss  0.869135, Time  0.413815
2021-09-23 02:59:14.511914 : Epoch  5, Batch    654, Loss  0.859946, Average Loss  0.869047, Time  0.414782
2021-09-23 02:59:19.499944 : Epoch  5, Batch    655, Loss  0.895811, Average Loss  0.869284, Time  0.462384
2021-09-23 02:59:24.476985 : Epoch  5, Batch    656, Loss  0.877720, Average Loss  0.869339, Time  0.414163
2021-09-23 02:59:29.420947 : Epoch  5, Batch    657, Loss  0.881182, Average Loss  0.869347, Time  0.413886
2021-09-23 02:59:34.361630 : Epoch  5, Batch    658, Loss  0.881381, Average Loss  0.869439, Time  0.413444
2021-09-23 02:59:39.298765 : Epoch  5, Batch    659, Loss  0.886537, Average Loss  0.869555, Time  0.413168
2021-09-23 02:59:44.228055 : Epoch  5, Batch    660, Loss  0.871692, Average Loss  0.869517, Time  0.412994
2021-09-23 02:59:49.167731 : Epoch  5, Batch    661, Loss  0.862167, Average Loss  0.869479, Time  0.414376
2021-09-23 02:59:54.107773 : Epoch  5, Batch    662, Loss  0.868099, Average Loss  0.869489, Time  0.413413
2021-09-23 02:59:59.052791 : Epoch  5, Batch    663, Loss  0.877866, Average Loss  0.869580, Time  0.413359
2021-09-23 03:00:03.998821 : Epoch  5, Batch    664, Loss  0.869683, Average Loss  0.869495, Time  0.413664
2021-09-23 03:00:09.015751 : Epoch  5, Batch    665, Loss  0.879188, Average Loss  0.869525, Time  0.469593
2021-09-23 03:00:13.966798 : Epoch  5, Batch    666, Loss  0.869558, Average Loss  0.869452, Time  0.416426
2021-09-23 03:00:18.919078 : Epoch  5, Batch    667, Loss  0.864874, Average Loss  0.869439, Time  0.414234
2021-09-23 03:00:23.872793 : Epoch  5, Batch    668, Loss  0.854128, Average Loss  0.869357, Time  0.413564
2021-09-23 03:00:28.826787 : Epoch  5, Batch    669, Loss  0.868303, Average Loss  0.869349, Time  0.413436
2021-09-23 03:00:33.767745 : Epoch  5, Batch    670, Loss  0.872833, Average Loss  0.869260, Time  0.413442
2021-09-23 03:00:38.701662 : Epoch  5, Batch    671, Loss  0.871562, Average Loss  0.869360, Time  0.422796
2021-09-23 03:00:43.761850 : Epoch  5, Batch    672, Loss  0.883365, Average Loss  0.869399, Time  0.412886
2021-09-23 03:00:48.695794 : Epoch  5, Batch    673, Loss  0.877292, Average Loss  0.869491, Time  0.413460
2021-09-23 03:00:53.661757 : Epoch  5, Batch    674, Loss  0.866734, Average Loss  0.869464, Time  0.434856
2021-09-23 03:00:58.616722 : Epoch  5, Batch    675, Loss  0.884210, Average Loss  0.869552, Time  0.413899
2021-09-23 03:01:03.575830 : Epoch  5, Batch    676, Loss  0.878072, Average Loss  0.869576, Time  0.414041
2021-09-23 03:01:08.517708 : Epoch  5, Batch    677, Loss  0.882261, Average Loss  0.869634, Time  0.413257
2021-09-23 03:01:13.474873 : Epoch  5, Batch    678, Loss  0.866232, Average Loss  0.869635, Time  0.414667
2021-09-23 03:01:18.424790 : Epoch  5, Batch    679, Loss  0.860398, Average Loss  0.869615, Time  0.413564
2021-09-23 03:01:23.381754 : Epoch  5, Batch    680, Loss  0.861629, Average Loss  0.869533, Time  0.413763
2021-09-23 03:01:28.328940 : Epoch  5, Batch    681, Loss  0.867752, Average Loss  0.869613, Time  0.413304
2021-09-23 03:01:33.274763 : Epoch  5, Batch    682, Loss  0.862844, Average Loss  0.869556, Time  0.413362
2021-09-23 03:01:38.215479 : Epoch  5, Batch    683, Loss  0.870948, Average Loss  0.869517, Time  0.413412
2021-09-23 03:01:43.195067 : Epoch  5, Batch    684, Loss  0.871383, Average Loss  0.869521, Time  0.449395
2021-09-23 03:01:48.132730 : Epoch  5, Batch    685, Loss  0.855412, Average Loss  0.869480, Time  0.413254
2021-09-23 03:01:53.082959 : Epoch  5, Batch    686, Loss  0.859670, Average Loss  0.869405, Time  0.413205
2021-09-23 03:01:58.051759 : Epoch  5, Batch    687, Loss  0.871107, Average Loss  0.869439, Time  0.413273
2021-09-23 03:02:02.991757 : Epoch  5, Batch    688, Loss  0.850179, Average Loss  0.869317, Time  0.413432
2021-09-23 03:06:01.766731 : CheckPoint: Validation Loss  0.00015367, Best Loss  0.00014643
2021-09-23 03:06:06.753974 : Epoch  5, Batch    689, Loss  0.872510, Average Loss  0.869368, Time  0.414594
2021-09-23 03:06:11.696739 : Epoch  5, Batch    690, Loss  0.888166, Average Loss  0.869482, Time  0.414140
2021-09-23 03:06:16.653772 : Epoch  5, Batch    691, Loss  0.868996, Average Loss  0.869404, Time  0.423112
2021-09-23 03:06:21.587759 : Epoch  5, Batch    692, Loss  0.874282, Average Loss  0.869425, Time  0.413128
2021-09-23 03:06:26.570926 : Epoch  5, Batch    693, Loss  0.876832, Average Loss  0.869399, Time  0.449535
2021-09-23 03:06:31.514662 : Epoch  5, Batch    694, Loss  0.882626, Average Loss  0.869507, Time  0.413217
2021-09-23 03:06:36.452892 : Epoch  5, Batch    695, Loss  0.866170, Average Loss  0.869502, Time  0.413328
2021-09-23 03:06:41.398898 : Epoch  5, Batch    696, Loss  0.871082, Average Loss  0.869462, Time  0.413405
2021-09-23 03:06:46.387737 : Epoch  5, Batch    697, Loss  0.878475, Average Loss  0.869538, Time  0.412982
2021-09-23 03:06:51.323882 : Epoch  5, Batch    698, Loss  0.866782, Average Loss  0.869578, Time  0.412971
2021-09-23 03:06:56.341842 : Epoch  5, Batch    699, Loss  0.875309, Average Loss  0.869641, Time  0.414250
2021-09-23 03:07:01.327912 : Epoch  5, Batch    700, Loss  0.855959, Average Loss  0.869649, Time  0.413463
2021-09-23 03:07:06.280087 : Epoch  5, Batch    701, Loss  0.869107, Average Loss  0.869582, Time  0.414183
2021-09-23 03:07:11.235933 : Epoch  5, Batch    702, Loss  0.864277, Average Loss  0.869550, Time  0.413385
2021-09-23 03:07:16.235833 : Epoch  5, Batch    703, Loss  0.862517, Average Loss  0.869531, Time  0.454850
2021-09-23 03:07:21.172946 : Epoch  5, Batch    704, Loss  0.884827, Average Loss  0.869615, Time  0.413176
2021-09-23 03:07:26.157934 : Epoch  5, Batch    705, Loss  0.882427, Average Loss  0.869674, Time  0.414218
2021-09-23 03:07:31.165836 : Epoch  5, Batch    706, Loss  0.890346, Average Loss  0.869741, Time  0.413269
2021-09-23 03:07:36.115886 : Epoch  5, Batch    707, Loss  0.872509, Average Loss  0.869774, Time  0.413194
2021-09-23 03:07:41.125837 : Epoch  5, Batch    708, Loss  0.872216, Average Loss  0.869849, Time  0.413607
2021-09-23 03:07:46.077880 : Epoch  5, Batch    709, Loss  0.888348, Average Loss  0.869986, Time  0.414326
2021-09-23 03:07:51.051878 : Epoch  5, Batch    710, Loss  0.863872, Average Loss  0.869989, Time  0.413160
2021-09-23 03:07:56.031905 : Epoch  5, Batch    711, Loss  0.866753, Average Loss  0.869891, Time  0.413211
2021-09-23 03:08:01.026974 : Epoch  5, Batch    712, Loss  0.871188, Average Loss  0.869940, Time  0.462967
2021-09-23 03:08:06.046469 : Epoch  5, Batch    713, Loss  0.869712, Average Loss  0.869981, Time  0.414356
2021-09-23 03:08:10.997810 : Epoch  5, Batch    714, Loss  0.867272, Average Loss  0.869913, Time  0.414071
2021-09-23 03:08:15.969741 : Epoch  5, Batch    715, Loss  0.865685, Average Loss  0.869976, Time  0.413608
2021-09-23 03:08:20.921804 : Epoch  5, Batch    716, Loss  0.892730, Average Loss  0.870124, Time  0.413856
2021-09-23 03:08:25.857748 : Epoch  5, Batch    717, Loss  0.856227, Average Loss  0.870046, Time  0.413507
2021-09-23 03:08:30.825962 : Epoch  5, Batch    718, Loss  0.875201, Average Loss  0.870074, Time  0.413184
2021-09-23 03:08:35.759989 : Epoch  5, Batch    719, Loss  0.873551, Average Loss  0.870080, Time  0.413272
2021-09-23 03:08:40.766843 : Epoch  5, Batch    720, Loss  0.876541, Average Loss  0.870044, Time  0.413324
2021-09-23 03:08:45.789809 : Epoch  5, Batch    721, Loss  0.863963, Average Loss  0.870004, Time  0.452391
2021-09-23 03:08:50.730703 : Epoch  5, Batch    722, Loss  0.865871, Average Loss  0.869959, Time  0.413415
2021-09-23 03:08:55.722772 : Epoch  5, Batch    723, Loss  0.879060, Average Loss  0.869973, Time  0.413406
2021-09-23 03:09:00.676783 : Epoch  5, Batch    724, Loss  0.877438, Average Loss  0.870061, Time  0.414157
2021-09-23 03:09:05.628720 : Epoch  5, Batch    725, Loss  0.871245, Average Loss  0.870130, Time  0.415254
2021-09-23 03:09:10.583039 : Epoch  5, Batch    726, Loss  0.878894, Average Loss  0.870114, Time  0.414200
2021-09-23 03:09:15.566768 : Epoch  5, Batch    727, Loss  0.877527, Average Loss  0.870130, Time  0.413535
2021-09-23 03:09:20.573959 : Epoch  5, Batch    728, Loss  0.860063, Average Loss  0.870077, Time  0.414172
2021-09-23 03:09:25.511987 : Epoch  5, Batch    729, Loss  0.874102, Average Loss  0.870182, Time  0.413110
2021-09-23 03:09:30.498996 : Epoch  5, Batch    730, Loss  0.865943, Average Loss  0.870191, Time  0.413470
2021-09-23 03:09:35.493939 : Epoch  5, Batch    731, Loss  0.874941, Average Loss  0.870198, Time  0.456799
2021-09-23 03:09:40.474977 : Epoch  5, Batch    732, Loss  0.874722, Average Loss  0.870135, Time  0.413563
2021-09-23 03:09:45.464734 : Epoch  5, Batch    733, Loss  0.874593, Average Loss  0.870144, Time  0.413384
2021-09-23 03:09:50.409870 : Epoch  5, Batch    734, Loss  0.873102, Average Loss  0.870167, Time  0.412930
2021-09-23 03:09:55.358944 : Epoch  5, Batch    735, Loss  0.866191, Average Loss  0.870183, Time  0.412940
2021-09-23 03:10:00.318989 : Epoch  5, Batch    736, Loss  0.873720, Average Loss  0.870170, Time  0.413588
2021-09-23 03:10:05.320842 : Epoch  5, Batch    737, Loss  0.859730, Average Loss  0.870114, Time  0.413591
2021-09-23 03:10:10.282919 : Epoch  5, Batch    738, Loss  0.879381, Average Loss  0.870116, Time  0.414787
2021-09-23 03:10:15.269888 : Epoch  5, Batch    739, Loss  0.874712, Average Loss  0.870130, Time  0.414281
2021-09-23 03:10:20.310137 : Epoch  5, Batch    740, Loss  0.886016, Average Loss  0.870229, Time  0.459814
2021-09-23 03:10:25.275914 : Epoch  5, Batch    741, Loss  0.889491, Average Loss  0.870256, Time  0.414185
2021-09-23 03:10:30.270755 : Epoch  5, Batch    742, Loss  0.863266, Average Loss  0.870222, Time  0.413351
2021-09-23 03:10:35.215770 : Epoch  5, Batch    743, Loss  0.869891, Average Loss  0.870215, Time  0.413108
2021-09-23 03:10:40.158932 : Epoch  5, Batch    744, Loss  0.872810, Average Loss  0.870261, Time  0.413528
2021-09-23 03:10:45.148982 : Epoch  5, Batch    745, Loss  0.873980, Average Loss  0.870270, Time  0.412995
2021-09-23 03:10:50.121711 : Epoch  5, Batch    746, Loss  0.866890, Average Loss  0.870207, Time  0.413349
2021-09-23 03:10:55.072742 : Epoch  5, Batch    747, Loss  0.865931, Average Loss  0.870212, Time  0.413631
2021-09-23 03:11:00.018925 : Epoch  5, Batch    748, Loss  0.863368, Average Loss  0.870170, Time  0.413325
2021-09-23 03:11:05.046791 : Epoch  5, Batch    749, Loss  0.880521, Average Loss  0.870190, Time  0.449561
2021-09-23 03:11:10.010144 : Epoch  5, Batch    750, Loss  0.882695, Average Loss  0.870317, Time  0.414690
2021-09-23 03:11:14.970227 : Epoch  5, Batch    751, Loss  0.864910, Average Loss  0.870319, Time  0.414094
2021-09-23 03:11:19.928825 : Epoch  5, Batch    752, Loss  0.867051, Average Loss  0.870252, Time  0.414045
2021-09-23 03:11:24.879764 : Epoch  5, Batch    753, Loss  0.866739, Average Loss  0.870306, Time  0.413266
2021-09-23 03:11:29.900947 : Epoch  5, Batch    754, Loss  0.864489, Average Loss  0.870352, Time  0.413709
2021-09-23 03:11:34.857933 : Epoch  5, Batch    755, Loss  0.864795, Average Loss  0.870384, Time  0.413226
2021-09-23 03:11:39.819888 : Epoch  5, Batch    756, Loss  0.857224, Average Loss  0.870336, Time  0.413214
2021-09-23 03:11:44.829875 : Epoch  5, Batch    757, Loss  0.868819, Average Loss  0.870333, Time  0.413332
2021-09-23 03:11:49.835748 : Epoch  5, Batch    758, Loss  0.843799, Average Loss  0.870238, Time  0.461756
2021-09-23 03:11:54.796720 : Epoch  5, Batch    759, Loss  0.870687, Average Loss  0.870241, Time  0.414093
2021-09-23 03:11:59.748748 : Epoch  5, Batch    760, Loss  0.877573, Average Loss  0.870309, Time  0.413430
2021-09-23 03:12:04.734921 : Epoch  5, Batch    761, Loss  0.868445, Average Loss  0.870363, Time  0.412996
2021-09-23 03:12:09.745972 : Epoch  5, Batch    762, Loss  0.879546, Average Loss  0.870343, Time  0.413521
2021-09-23 03:12:14.701984 : Epoch  5, Batch    763, Loss  0.858460, Average Loss  0.870290, Time  0.414240
2021-09-23 03:12:19.677249 : Epoch  5, Batch    764, Loss  0.871281, Average Loss  0.870314, Time  0.413748
2021-09-23 03:12:24.655766 : Epoch  5, Batch    765, Loss  0.857877, Average Loss  0.870334, Time  0.413562
2021-09-23 03:12:29.604818 : Epoch  5, Batch    766, Loss  0.864296, Average Loss  0.870364, Time  0.413713
2021-09-23 03:12:34.589884 : Epoch  5, Batch    767, Loss  0.856019, Average Loss  0.870236, Time  0.451956
2021-09-23 03:12:39.576878 : Epoch  5, Batch    768, Loss  0.862843, Average Loss  0.870126, Time  0.413912
2021-09-23 03:12:44.526935 : Epoch  5, Batch    769, Loss  0.862586, Average Loss  0.870145, Time  0.412895
2021-09-23 03:12:49.507959 : Epoch  5, Batch    770, Loss  0.882246, Average Loss  0.870199, Time  0.413496
2021-09-23 03:12:54.444957 : Epoch  5, Batch    771, Loss  0.861146, Average Loss  0.870136, Time  0.413110
2021-09-23 03:12:59.419898 : Epoch  5, Batch    772, Loss  0.862483, Average Loss  0.870076, Time  0.413428
2021-09-23 03:13:04.399767 : Epoch  5, Batch    773, Loss  0.872538, Average Loss  0.870043, Time  0.413405
2021-09-23 03:13:09.335942 : Epoch  5, Batch    774, Loss  0.857851, Average Loss  0.869906, Time  0.413087
2021-09-23 03:13:14.313852 : Epoch  5, Batch    775, Loss  0.875502, Average Loss  0.869947, Time  0.413171
2021-09-23 03:13:19.257925 : Epoch  5, Batch    776, Loss  0.865746, Average Loss  0.869915, Time  0.414966
2021-09-23 03:13:24.249921 : Epoch  5, Batch    777, Loss  0.867387, Average Loss  0.869809, Time  0.459140
2021-09-23 03:13:29.278062 : Epoch  5, Batch    778, Loss  0.862172, Average Loss  0.869748, Time  0.413656
2021-09-23 03:13:34.230859 : Epoch  5, Batch    779, Loss  0.864225, Average Loss  0.869714, Time  0.414159
2021-09-23 03:13:39.243018 : Epoch  5, Batch    780, Loss  0.884765, Average Loss  0.869751, Time  0.424495
2021-09-23 03:13:44.245884 : Epoch  5, Batch    781, Loss  0.865052, Average Loss  0.869850, Time  0.413338
2021-09-23 03:13:49.262010 : Epoch  5, Batch    782, Loss  0.875058, Average Loss  0.869875, Time  0.435972
2021-09-23 03:13:54.208716 : Epoch  5, Batch    783, Loss  0.868125, Average Loss  0.869855, Time  0.413088
2021-09-23 03:13:59.143472 : Epoch  5, Batch    784, Loss  0.853512, Average Loss  0.869764, Time  0.413115
2021-09-23 03:14:04.142211 : Epoch  5, Batch    785, Loss  0.873285, Average Loss  0.869783, Time  0.413655
2021-09-23 03:14:09.125771 : Epoch  5, Batch    786, Loss  0.867964, Average Loss  0.869824, Time  0.457476
2021-09-23 03:14:14.106881 : Epoch  5, Batch    787, Loss  0.851706, Average Loss  0.869677, Time  0.413827
2021-09-23 03:14:19.091754 : Epoch  5, Batch    788, Loss  0.882973, Average Loss  0.869824, Time  0.413428
2021-09-23 03:18:17.500729 : CheckPoint: Validation Loss  0.00014847, Best Loss  0.00014643
2021-09-23 03:18:22.505826 : Epoch  5, Batch    789, Loss  0.870843, Average Loss  0.869900, Time  0.414629
2021-09-23 03:18:27.459008 : Epoch  5, Batch    790, Loss  0.872894, Average Loss  0.869941, Time  0.413774
2021-09-23 03:18:32.402876 : Epoch  5, Batch    791, Loss  0.880467, Average Loss  0.869992, Time  0.413198
2021-09-23 03:18:37.338736 : Epoch  5, Batch    792, Loss  0.876525, Average Loss  0.870099, Time  0.412830
2021-09-23 03:18:42.297724 : Epoch  5, Batch    793, Loss  0.867175, Average Loss  0.870136, Time  0.413247
2021-09-23 03:18:47.239840 : Epoch  5, Batch    794, Loss  0.858488, Average Loss  0.870069, Time  0.413465
2021-09-23 03:18:52.227076 : Epoch  5, Batch    795, Loss  0.883009, Average Loss  0.870148, Time  0.455803
2021-09-23 03:18:57.171941 : Epoch  5, Batch    796, Loss  0.872852, Average Loss  0.870081, Time  0.413402
2021-09-23 03:19:02.115847 : Epoch  5, Batch    797, Loss  0.860742, Average Loss  0.870069, Time  0.413062
2021-09-23 03:19:07.053957 : Epoch  5, Batch    798, Loss  0.859202, Average Loss  0.869999, Time  0.413389
2021-09-23 03:19:12.005766 : Epoch  5, Batch    799, Loss  0.870748, Average Loss  0.869967, Time  0.413859
2021-09-23 03:19:16.966005 : Epoch  5, Batch    800, Loss  0.869972, Average Loss  0.869998, Time  0.414351
2021-09-23 03:19:21.917787 : Epoch  5, Batch    801, Loss  0.881609, Average Loss  0.870010, Time  0.413275
2021-09-23 03:19:26.890930 : Epoch  5, Batch    802, Loss  0.864142, Average Loss  0.869984, Time  0.413651
2021-09-23 03:19:31.848476 : Epoch  5, Batch    803, Loss  0.870324, Average Loss  0.869917, Time  0.413366
2021-09-23 03:19:36.842947 : Epoch  5, Batch    804, Loss  0.865090, Average Loss  0.869890, Time  0.463108
2021-09-23 03:19:41.803738 : Epoch  5, Batch    805, Loss  0.874207, Average Loss  0.869860, Time  0.415817
2021-09-23 03:19:46.767941 : Epoch  5, Batch    806, Loss  0.872622, Average Loss  0.869815, Time  0.413211
2021-09-23 03:19:51.705762 : Epoch  5, Batch    807, Loss  0.857282, Average Loss  0.869749, Time  0.413245
2021-09-23 03:19:56.658754 : Epoch  5, Batch    808, Loss  0.855556, Average Loss  0.869772, Time  0.413272
2021-09-23 03:20:01.621786 : Epoch  5, Batch    809, Loss  0.865905, Average Loss  0.869739, Time  0.416688
2021-09-23 03:20:06.561134 : Epoch  5, Batch    810, Loss  0.861054, Average Loss  0.869745, Time  0.413338
2021-09-23 03:20:11.520793 : Epoch  5, Batch    811, Loss  0.873398, Average Loss  0.869764, Time  0.414473
2021-09-23 03:20:16.486802 : Epoch  5, Batch    812, Loss  0.875830, Average Loss  0.869722, Time  0.413905
2021-09-23 03:20:21.420069 : Epoch  5, Batch    813, Loss  0.878377, Average Loss  0.869738, Time  0.413834
2021-09-23 03:20:26.419885 : Epoch  5, Batch    814, Loss  0.871233, Average Loss  0.869719, Time  0.456240
2021-09-23 03:20:31.364892 : Epoch  5, Batch    815, Loss  0.862206, Average Loss  0.869640, Time  0.414435
2021-09-23 03:20:36.312018 : Epoch  5, Batch    816, Loss  0.873004, Average Loss  0.869729, Time  0.412982
2021-09-23 03:20:41.262756 : Epoch  5, Batch    817, Loss  0.870324, Average Loss  0.869772, Time  0.413249
2021-09-23 03:20:46.216749 : Epoch  5, Batch    818, Loss  0.867537, Average Loss  0.869765, Time  0.413278
2021-09-23 03:20:51.169842 : Epoch  5, Batch    819, Loss  0.873587, Average Loss  0.869748, Time  0.413126
2021-09-23 03:20:56.117933 : Epoch  5, Batch    820, Loss  0.871662, Average Loss  0.869805, Time  0.414348
2021-09-23 03:21:01.085921 : Epoch  5, Batch    821, Loss  0.863803, Average Loss  0.869800, Time  0.413241
2021-09-23 03:21:06.035824 : Epoch  5, Batch    822, Loss  0.862617, Average Loss  0.869800, Time  0.413081
2021-09-23 03:21:11.033889 : Epoch  5, Batch    823, Loss  0.865803, Average Loss  0.869792, Time  0.462936
2021-09-23 03:21:16.003781 : Epoch  5, Batch    824, Loss  0.866322, Average Loss  0.869760, Time  0.416587
2021-09-23 03:21:20.938977 : Epoch  5, Batch    825, Loss  0.859282, Average Loss  0.869682, Time  0.413685
2021-09-23 03:21:25.895120 : Epoch  5, Batch    826, Loss  0.856149, Average Loss  0.869591, Time  0.414213
2021-09-23 03:21:30.845773 : Epoch  5, Batch    827, Loss  0.876549, Average Loss  0.869673, Time  0.413345
2021-09-23 03:21:35.804933 : Epoch  5, Batch    828, Loss  0.882281, Average Loss  0.869710, Time  0.413988
2021-09-23 03:21:40.755979 : Epoch  5, Batch    829, Loss  0.875868, Average Loss  0.869738, Time  0.413040
2021-09-23 03:21:45.694970 : Epoch  5, Batch    830, Loss  0.880176, Average Loss  0.869744, Time  0.413144
2021-09-23 03:21:50.645760 : Epoch  5, Batch    831, Loss  0.860077, Average Loss  0.869709, Time  0.413045
2021-09-23 03:21:55.603807 : Epoch  5, Batch    832, Loss  0.870143, Average Loss  0.869720, Time  0.413188
2021-09-23 03:22:00.592766 : Epoch  5, Batch    833, Loss  0.879729, Average Loss  0.869770, Time  0.457574
2021-09-23 03:22:05.551884 : Epoch  5, Batch    834, Loss  0.867371, Average Loss  0.869714, Time  0.413244
2021-09-23 03:22:10.549767 : Epoch  5, Batch    835, Loss  0.865076, Average Loss  0.869765, Time  0.413799
2021-09-23 03:22:15.506727 : Epoch  5, Batch    836, Loss  0.875805, Average Loss  0.869866, Time  0.413273
2021-09-23 03:22:20.467759 : Epoch  5, Batch    837, Loss  0.876738, Average Loss  0.869959, Time  0.414090
2021-09-23 03:22:25.434297 : Epoch  5, Batch    838, Loss  0.869935, Average Loss  0.870035, Time  0.414356
2021-09-23 03:22:30.373987 : Epoch  5, Batch    839, Loss  0.862718, Average Loss  0.870023, Time  0.413619
2021-09-23 03:22:35.342045 : Epoch  5, Batch    840, Loss  0.867428, Average Loss  0.870017, Time  0.413828
2021-09-23 03:22:40.303979 : Epoch  5, Batch    841, Loss  0.890472, Average Loss  0.870193, Time  0.413144
2021-09-23 03:22:45.260775 : Epoch  5, Batch    842, Loss  0.858459, Average Loss  0.870138, Time  0.413158
2021-09-23 03:22:50.269811 : Epoch  5, Batch    843, Loss  0.890277, Average Loss  0.870268, Time  0.460133
2021-09-23 03:22:55.205918 : Epoch  5, Batch    844, Loss  0.855110, Average Loss  0.870267, Time  0.412977
2021-09-23 03:23:00.170775 : Epoch  5, Batch    845, Loss  0.868594, Average Loss  0.870225, Time  0.423287
2021-09-23 03:23:05.114972 : Epoch  5, Batch    846, Loss  0.874151, Average Loss  0.870247, Time  0.413317
2021-09-23 03:23:10.068763 : Epoch  5, Batch    847, Loss  0.859054, Average Loss  0.870142, Time  0.413140
2021-09-23 03:23:15.028720 : Epoch  5, Batch    848, Loss  0.885117, Average Loss  0.870249, Time  0.413514
2021-09-23 03:23:19.980720 : Epoch  5, Batch    849, Loss  0.872904, Average Loss  0.870276, Time  0.414536
2021-09-23 03:23:24.945822 : Epoch  5, Batch    850, Loss  0.873986, Average Loss  0.870252, Time  0.413498
2021-09-23 03:23:29.941814 : Epoch  5, Batch    851, Loss  0.881477, Average Loss  0.870381, Time  0.414315
2021-09-23 03:23:34.933640 : Epoch  5, Batch    852, Loss  0.885589, Average Loss  0.870491, Time  0.463685
2021-09-23 03:23:40.031953 : Epoch  5, Batch    853, Loss  0.852097, Average Loss  0.870424, Time  0.416431
2021-09-23 03:23:44.981739 : Epoch  5, Batch    854, Loss  0.869376, Average Loss  0.870471, Time  0.414201
2021-09-23 03:23:49.944740 : Epoch  5, Batch    855, Loss  0.872865, Average Loss  0.870356, Time  0.413131
2021-09-23 03:23:54.898200 : Epoch  5, Batch    856, Loss  0.878320, Average Loss  0.870359, Time  0.413238
2021-09-23 03:23:59.860959 : Epoch  5, Batch    857, Loss  0.876512, Average Loss  0.870336, Time  0.413622
2021-09-23 03:24:04.802952 : Epoch  5, Batch    858, Loss  0.868197, Average Loss  0.870270, Time  0.413492
2021-09-23 03:24:09.756938 : Epoch  5, Batch    859, Loss  0.883750, Average Loss  0.870256, Time  0.412885
2021-09-23 03:24:14.712851 : Epoch  5, Batch    860, Loss  0.874006, Average Loss  0.870268, Time  0.413009
2021-09-23 03:24:19.693845 : Epoch  5, Batch    861, Loss  0.867076, Average Loss  0.870292, Time  0.449999
2021-09-23 03:24:24.653866 : Epoch  5, Batch    862, Loss  0.862239, Average Loss  0.870263, Time  0.414081
2021-09-23 03:24:29.607791 : Epoch  5, Batch    863, Loss  0.863477, Average Loss  0.870191, Time  0.413470
2021-09-23 03:24:34.552996 : Epoch  5, Batch    864, Loss  0.875624, Average Loss  0.870221, Time  0.413949
2021-09-23 03:24:39.521776 : Epoch  5, Batch    865, Loss  0.865860, Average Loss  0.870154, Time  0.413952
2021-09-23 03:24:44.507849 : Epoch  5, Batch    866, Loss  0.882714, Average Loss  0.870220, Time  0.414248
2021-09-23 03:24:49.460883 : Epoch  5, Batch    867, Loss  0.873623, Average Loss  0.870264, Time  0.413468
2021-09-23 03:24:54.400008 : Epoch  5, Batch    868, Loss  0.871419, Average Loss  0.870350, Time  0.413255
2021-09-23 03:24:59.345856 : Epoch  5, Batch    869, Loss  0.849749, Average Loss  0.870257, Time  0.413209
2021-09-23 03:25:04.305826 : Epoch  5, Batch    870, Loss  0.853052, Average Loss  0.870158, Time  0.414259
2021-09-23 03:25:09.320758 : Epoch  5, Batch    871, Loss  0.855363, Average Loss  0.870077, Time  0.463573
2021-09-23 03:25:14.270739 : Epoch  5, Batch    872, Loss  0.882179, Average Loss  0.870071, Time  0.420239
2021-09-23 03:25:19.231747 : Epoch  5, Batch    873, Loss  0.873728, Average Loss  0.870054, Time  0.414019
2021-09-23 03:25:24.187912 : Epoch  5, Batch    874, Loss  0.866707, Average Loss  0.870053, Time  0.412996
2021-09-23 03:25:29.142760 : Epoch  5, Batch    875, Loss  0.864342, Average Loss  0.869954, Time  0.414216
2021-09-23 03:25:34.106738 : Epoch  5, Batch    876, Loss  0.870563, Average Loss  0.869917, Time  0.413691
2021-09-23 03:25:39.074945 : Epoch  5, Batch    877, Loss  0.856277, Average Loss  0.869787, Time  0.413772
2021-09-23 03:25:44.030157 : Epoch  5, Batch    878, Loss  0.872862, Average Loss  0.869820, Time  0.413779
2021-09-23 03:25:48.987732 : Epoch  5, Batch    879, Loss  0.862258, Average Loss  0.869829, Time  0.414103
2021-09-23 03:25:53.975964 : Epoch  5, Batch    880, Loss  0.865931, Average Loss  0.869851, Time  0.452631
2021-09-23 03:25:58.917845 : Epoch  5, Batch    881, Loss  0.871867, Average Loss  0.869871, Time  0.413798
2021-09-23 03:26:03.869711 : Epoch  5, Batch    882, Loss  0.864090, Average Loss  0.869877, Time  0.412996
2021-09-23 03:26:08.824868 : Epoch  5, Batch    883, Loss  0.874533, Average Loss  0.869895, Time  0.413208
2021-09-23 03:26:13.785925 : Epoch  5, Batch    884, Loss  0.870452, Average Loss  0.869891, Time  0.413124
2021-09-23 03:26:18.735882 : Epoch  5, Batch    885, Loss  0.858799, Average Loss  0.869908, Time  0.412848
2021-09-23 03:26:23.682860 : Epoch  5, Batch    886, Loss  0.873106, Average Loss  0.869975, Time  0.413322
2021-09-23 03:26:28.670789 : Epoch  5, Batch    887, Loss  0.868605, Average Loss  0.869962, Time  0.413158
2021-09-23 03:26:33.634948 : Epoch  5, Batch    888, Loss  0.865065, Average Loss  0.870037, Time  0.414383
2021-09-23 03:30:30.015719 : CheckPoint: Validation Loss  0.00015213, Best Loss  0.00014643
2021-09-23 03:30:35.022988 : Epoch  5, Batch    889, Loss  0.883811, Average Loss  0.870093, Time  0.463365
2021-09-23 03:30:39.979075 : Epoch  5, Batch    890, Loss  0.859019, Average Loss  0.869947, Time  0.413818
2021-09-23 03:30:44.933796 : Epoch  5, Batch    891, Loss  0.863531, Average Loss  0.869920, Time  0.413749
2021-09-23 03:30:49.884957 : Epoch  5, Batch    892, Loss  0.863414, Average Loss  0.869866, Time  0.413373
2021-09-23 03:30:54.840132 : Epoch  5, Batch    893, Loss  0.859576, Average Loss  0.869779, Time  0.413116
2021-09-23 03:30:59.790739 : Epoch  5, Batch    894, Loss  0.880506, Average Loss  0.869769, Time  0.417051
2021-09-23 03:31:04.728454 : Epoch  5, Batch    895, Loss  0.857553, Average Loss  0.869726, Time  0.412993
2021-09-23 03:31:09.680752 : Epoch  5, Batch    896, Loss  0.864000, Average Loss  0.869690, Time  0.413227
2021-09-23 03:31:14.629095 : Epoch  5, Batch    897, Loss  0.867445, Average Loss  0.869635, Time  0.413083
2021-09-23 03:31:19.566737 : Epoch  5, Batch    898, Loss  0.867272, Average Loss  0.869638, Time  0.413049
2021-09-23 03:31:24.573739 : Epoch  5, Batch    899, Loss  0.866730, Average Loss  0.869595, Time  0.463698
2021-09-23 03:31:29.534931 : Epoch  5, Batch    900, Loss  0.876119, Average Loss  0.869696, Time  0.413460
2021-09-23 03:31:34.531808 : Epoch  5, Batch    901, Loss  0.877176, Average Loss  0.869736, Time  0.413843
2021-09-23 03:31:39.482818 : Epoch  5, Batch    902, Loss  0.873338, Average Loss  0.869781, Time  0.413467
2021-09-23 03:31:44.446754 : Epoch  5, Batch    903, Loss  0.874056, Average Loss  0.869839, Time  0.425031
2021-09-23 03:31:49.392952 : Epoch  5, Batch    904, Loss  0.873649, Average Loss  0.869783, Time  0.413460
2021-09-23 03:31:54.380958 : Epoch  5, Batch    905, Loss  0.863627, Average Loss  0.869689, Time  0.413178
2021-09-23 03:31:59.386731 : Epoch  5, Batch    906, Loss  0.871116, Average Loss  0.869593, Time  0.413322
2021-09-23 03:32:04.337786 : Epoch  5, Batch    907, Loss  0.880459, Average Loss  0.869633, Time  0.413371
2021-09-23 03:32:09.316869 : Epoch  5, Batch    908, Loss  0.858670, Average Loss  0.869565, Time  0.450186
2021-09-23 03:32:14.272737 : Epoch  5, Batch    909, Loss  0.884337, Average Loss  0.869545, Time  0.412732
2021-09-23 03:32:19.221974 : Epoch  5, Batch    910, Loss  0.869464, Average Loss  0.869573, Time  0.413791
2021-09-23 03:32:24.195907 : Epoch  5, Batch    911, Loss  0.849167, Average Loss  0.869485, Time  0.413218
2021-09-23 03:32:29.207722 : Epoch  5, Batch    912, Loss  0.868771, Average Loss  0.869473, Time  0.414701
2021-09-23 03:32:34.161022 : Epoch  5, Batch    913, Loss  0.881612, Average Loss  0.869532, Time  0.413942
2021-09-23 03:32:39.134275 : Epoch  5, Batch    914, Loss  0.874404, Average Loss  0.869568, Time  0.414059
2021-09-23 03:32:44.087761 : Epoch  5, Batch    915, Loss  0.884724, Average Loss  0.869663, Time  0.414079
2021-09-23 03:32:49.036118 : Epoch  5, Batch    916, Loss  0.870643, Average Loss  0.869553, Time  0.413456
2021-09-23 03:32:54.005030 : Epoch  5, Batch    917, Loss  0.874490, Average Loss  0.869644, Time  0.429985
2021-09-23 03:32:58.952001 : Epoch  5, Batch    918, Loss  0.877918, Average Loss  0.869658, Time  0.413030
2021-09-23 03:33:03.906774 : Epoch  5, Batch    919, Loss  0.878535, Average Loss  0.869683, Time  0.413433
2021-09-23 03:33:08.853836 : Epoch  5, Batch    920, Loss  0.881088, Average Loss  0.869705, Time  0.413396
2021-09-23 03:33:13.807980 : Epoch  5, Batch    921, Loss  0.869507, Average Loss  0.869733, Time  0.413092
2021-09-23 03:33:18.762870 : Epoch  5, Batch    922, Loss  0.887057, Average Loss  0.869839, Time  0.413618
2021-09-23 03:33:23.711910 : Epoch  5, Batch    923, Loss  0.870697, Average Loss  0.869797, Time  0.413288
2021-09-23 03:33:28.674973 : Epoch  5, Batch    924, Loss  0.869647, Average Loss  0.869758, Time  0.413558
2021-09-23 03:33:33.626739 : Epoch  5, Batch    925, Loss  0.868524, Average Loss  0.869745, Time  0.414357
2021-09-23 03:33:38.626939 : Epoch  5, Batch    926, Loss  0.875488, Average Loss  0.869728, Time  0.465480
2021-09-23 03:33:43.589783 : Epoch  5, Batch    927, Loss  0.877134, Average Loss  0.869726, Time  0.420697
2021-09-23 03:33:48.573178 : Epoch  5, Batch    928, Loss  0.879130, Average Loss  0.869821, Time  0.413309
2021-09-23 03:33:48.610587 : Saving Model after 5-th Epoch.
2021-09-23 03:33:49.551610 : Epoch Finished.
2021-09-23 03:33:58.378610 : Batch Shuffled
2021-09-23 03:34:03.377764 : Epoch  6, Batch      1, Loss  0.879192, Average Loss  0.869846, Time  0.413182
2021-09-23 03:34:08.339735 : Epoch  6, Batch      2, Loss  0.867864, Average Loss  0.869856, Time  0.413535
2021-09-23 03:34:13.286864 : Epoch  6, Batch      3, Loss  0.862988, Average Loss  0.869796, Time  0.413164
2021-09-23 03:34:18.233051 : Epoch  6, Batch      4, Loss  0.878881, Average Loss  0.869817, Time  0.413391
2021-09-23 03:34:23.193912 : Epoch  6, Batch      5, Loss  0.872999, Average Loss  0.869809, Time  0.413169
2021-09-23 03:34:28.187961 : Epoch  6, Batch      6, Loss  0.893621, Average Loss  0.869912, Time  0.461102
2021-09-23 03:34:33.139882 : Epoch  6, Batch      7, Loss  0.851295, Average Loss  0.869837, Time  0.412931
2021-09-23 03:34:38.107855 : Epoch  6, Batch      8, Loss  0.868969, Average Loss  0.869813, Time  0.414252
2021-09-23 03:34:43.074720 : Epoch  6, Batch      9, Loss  0.876569, Average Loss  0.869898, Time  0.413192
2021-09-23 03:34:48.051802 : Epoch  6, Batch     10, Loss  0.874093, Average Loss  0.869871, Time  0.414195
2021-09-23 03:34:53.012747 : Epoch  6, Batch     11, Loss  0.887002, Average Loss  0.869933, Time  0.413601
2021-09-23 03:34:57.975965 : Epoch  6, Batch     12, Loss  0.882762, Average Loss  0.869916, Time  0.414138
2021-09-23 03:35:02.937028 : Epoch  6, Batch     13, Loss  0.860017, Average Loss  0.869769, Time  0.414004
2021-09-23 03:35:07.904740 : Epoch  6, Batch     14, Loss  0.839016, Average Loss  0.869648, Time  0.413149
2021-09-23 03:35:12.902744 : Epoch  6, Batch     15, Loss  0.863726, Average Loss  0.869617, Time  0.450543
2021-09-23 03:35:17.861760 : Epoch  6, Batch     16, Loss  0.885599, Average Loss  0.869681, Time  0.413577
2021-09-23 03:35:22.823792 : Epoch  6, Batch     17, Loss  0.873643, Average Loss  0.869679, Time  0.412917
2021-09-23 03:35:27.770961 : Epoch  6, Batch     18, Loss  0.868025, Average Loss  0.869685, Time  0.413458
2021-09-23 03:35:32.719739 : Epoch  6, Batch     19, Loss  0.866712, Average Loss  0.869689, Time  0.412952
2021-09-23 03:35:37.676896 : Epoch  6, Batch     20, Loss  0.875916, Average Loss  0.869751, Time  0.413345
2021-09-23 03:35:42.644920 : Epoch  6, Batch     21, Loss  0.865598, Average Loss  0.869677, Time  0.414428
2021-09-23 03:35:47.704897 : Epoch  6, Batch     22, Loss  0.866418, Average Loss  0.869595, Time  0.413376
2021-09-23 03:35:52.672806 : Epoch  6, Batch     23, Loss  0.864455, Average Loss  0.869593, Time  0.414373
2021-09-23 03:35:57.677057 : Epoch  6, Batch     24, Loss  0.873800, Average Loss  0.869627, Time  0.464075
2021-09-23 03:36:02.630988 : Epoch  6, Batch     25, Loss  0.868867, Average Loss  0.869638, Time  0.420293
2021-09-23 03:36:07.589811 : Epoch  6, Batch     26, Loss  0.891503, Average Loss  0.869773, Time  0.413291
2021-09-23 03:36:12.593741 : Epoch  6, Batch     27, Loss  0.856840, Average Loss  0.869733, Time  0.412871
2021-09-23 03:36:17.547875 : Epoch  6, Batch     28, Loss  0.874894, Average Loss  0.869821, Time  0.413258
2021-09-23 03:36:22.542753 : Epoch  6, Batch     29, Loss  0.868599, Average Loss  0.869820, Time  0.413105
2021-09-23 03:36:27.499906 : Epoch  6, Batch     30, Loss  0.877540, Average Loss  0.869989, Time  0.413331
2021-09-23 03:36:32.489045 : Epoch  6, Batch     31, Loss  0.864014, Average Loss  0.869955, Time  0.413437
2021-09-23 03:36:37.437876 : Epoch  6, Batch     32, Loss  0.855455, Average Loss  0.869845, Time  0.413261
2021-09-23 03:36:42.398731 : Epoch  6, Batch     33, Loss  0.868266, Average Loss  0.869844, Time  0.414081
2021-09-23 03:36:47.404405 : Epoch  6, Batch     34, Loss  0.874098, Average Loss  0.869817, Time  0.461010
2021-09-23 03:36:52.477279 : Epoch  6, Batch     35, Loss  0.855206, Average Loss  0.869800, Time  0.413807
2021-09-23 03:36:57.431945 : Epoch  6, Batch     36, Loss  0.854867, Average Loss  0.869718, Time  0.413403
2021-09-23 03:37:02.377884 : Epoch  6, Batch     37, Loss  0.871773, Average Loss  0.869788, Time  0.413239
2021-09-23 03:37:07.342969 : Epoch  6, Batch     38, Loss  0.881511, Average Loss  0.869874, Time  0.413875
2021-09-23 03:37:12.321747 : Epoch  6, Batch     39, Loss  0.872149, Average Loss  0.869955, Time  0.413406
2021-09-23 03:37:17.264055 : Epoch  6, Batch     40, Loss  0.865439, Average Loss  0.869968, Time  0.413328
2021-09-23 03:37:22.226912 : Epoch  6, Batch     41, Loss  0.860173, Average Loss  0.869956, Time  0.413856
2021-09-23 03:37:27.180932 : Epoch  6, Batch     42, Loss  0.858075, Average Loss  0.869835, Time  0.413329
2021-09-23 03:37:32.379811 : Epoch  6, Batch     43, Loss  0.858810, Average Loss  0.869823, Time  0.462727
2021-09-23 03:37:37.346876 : Epoch  6, Batch     44, Loss  0.866256, Average Loss  0.869842, Time  0.415517
2021-09-23 03:37:42.297912 : Epoch  6, Batch     45, Loss  0.878174, Average Loss  0.869870, Time  0.412966
2021-09-23 03:37:47.243024 : Epoch  6, Batch     46, Loss  0.872797, Average Loss  0.869945, Time  0.413456
2021-09-23 03:37:52.196993 : Epoch  6, Batch     47, Loss  0.874371, Average Loss  0.869939, Time  0.414282
2021-09-23 03:37:57.162845 : Epoch  6, Batch     48, Loss  0.861111, Average Loss  0.869916, Time  0.415675
2021-09-23 03:38:02.159742 : Epoch  6, Batch     49, Loss  0.873870, Average Loss  0.869948, Time  0.413426
2021-09-23 03:38:07.111970 : Epoch  6, Batch     50, Loss  0.866651, Average Loss  0.869971, Time  0.414309
2021-09-23 03:38:12.095875 : Epoch  6, Batch     51, Loss  0.867982, Average Loss  0.869990, Time  0.414332
2021-09-23 03:38:17.097122 : Epoch  6, Batch     52, Loss  0.886123, Average Loss  0.869996, Time  0.455760
2021-09-23 03:38:22.061888 : Epoch  6, Batch     53, Loss  0.857723, Average Loss  0.869960, Time  0.415017
2021-09-23 03:38:27.033701 : Epoch  6, Batch     54, Loss  0.877672, Average Loss  0.869973, Time  0.413025
2021-09-23 03:38:31.998909 : Epoch  6, Batch     55, Loss  0.868996, Average Loss  0.869977, Time  0.423325
2021-09-23 03:38:36.947784 : Epoch  6, Batch     56, Loss  0.853099, Average Loss  0.869975, Time  0.413177
2021-09-23 03:38:41.904876 : Epoch  6, Batch     57, Loss  0.864959, Average Loss  0.869933, Time  0.412821
2021-09-23 03:38:46.870832 : Epoch  6, Batch     58, Loss  0.878899, Average Loss  0.869988, Time  0.413489
2021-09-23 03:38:51.874862 : Epoch  6, Batch     59, Loss  0.866720, Average Loss  0.870063, Time  0.413910
2021-09-23 03:38:56.830730 : Epoch  6, Batch     60, Loss  0.878504, Average Loss  0.870041, Time  0.413220
2021-09-23 03:42:53.083721 : CheckPoint: Validation Loss  0.00015142, Best Loss  0.00014643
2021-09-23 03:42:58.061334 : Epoch  6, Batch     61, Loss  0.871084, Average Loss  0.870042, Time  0.434124
2021-09-23 03:43:03.024884 : Epoch  6, Batch     62, Loss  0.862992, Average Loss  0.869992, Time  0.413229
2021-09-23 03:43:08.019900 : Epoch  6, Batch     63, Loss  0.876806, Average Loss  0.869974, Time  0.412964
2021-09-23 03:43:12.976765 : Epoch  6, Batch     64, Loss  0.867259, Average Loss  0.869928, Time  0.414108
2021-09-23 03:43:17.938987 : Epoch  6, Batch     65, Loss  0.870942, Average Loss  0.869947, Time  0.412976
2021-09-23 03:43:22.937797 : Epoch  6, Batch     66, Loss  0.874311, Average Loss  0.870026, Time  0.413434
2021-09-23 03:43:27.885949 : Epoch  6, Batch     67, Loss  0.873149, Average Loss  0.869976, Time  0.412672
2021-09-23 03:43:32.852754 : Epoch  6, Batch     68, Loss  0.871212, Average Loss  0.869968, Time  0.413262
2021-09-23 03:43:37.806179 : Epoch  6, Batch     69, Loss  0.873661, Average Loss  0.870033, Time  0.413187
2021-09-23 03:43:42.793903 : Epoch  6, Batch     70, Loss  0.876027, Average Loss  0.870117, Time  0.431562
2021-09-23 03:43:47.759018 : Epoch  6, Batch     71, Loss  0.859006, Average Loss  0.870058, Time  0.413968
2021-09-23 03:43:52.765921 : Epoch  6, Batch     72, Loss  0.865788, Average Loss  0.870037, Time  0.413840
2021-09-23 03:43:57.731760 : Epoch  6, Batch     73, Loss  0.861077, Average Loss  0.869935, Time  0.413644
2021-09-23 03:44:02.702846 : Epoch  6, Batch     74, Loss  0.877693, Average Loss  0.870002, Time  0.413569
2021-09-23 03:44:07.658553 : Epoch  6, Batch     75, Loss  0.868881, Average Loss  0.869995, Time  0.413045
2021-09-23 03:44:12.622745 : Epoch  6, Batch     76, Loss  0.866404, Average Loss  0.870002, Time  0.413689
2021-09-23 03:44:17.578760 : Epoch  6, Batch     77, Loss  0.877440, Average Loss  0.870018, Time  0.412844
2021-09-23 03:44:22.531972 : Epoch  6, Batch     78, Loss  0.871379, Average Loss  0.870012, Time  0.413507
2021-09-23 03:44:27.546733 : Epoch  6, Batch     79, Loss  0.881082, Average Loss  0.870131, Time  0.469914
2021-09-23 03:44:32.567050 : Epoch  6, Batch     80, Loss  0.870558, Average Loss  0.870206, Time  0.419439
2021-09-23 03:44:37.557042 : Epoch  6, Batch     81, Loss  0.869321, Average Loss  0.870223, Time  0.413368
2021-09-23 03:44:42.531989 : Epoch  6, Batch     82, Loss  0.876866, Average Loss  0.870302, Time  0.413360
2021-09-23 03:44:47.510702 : Epoch  6, Batch     83, Loss  0.862674, Average Loss  0.870248, Time  0.414019
2021-09-23 03:44:52.476174 : Epoch  6, Batch     84, Loss  0.866421, Average Loss  0.870201, Time  0.414138
2021-09-23 03:44:57.437867 : Epoch  6, Batch     85, Loss  0.865262, Average Loss  0.870136, Time  0.413800
2021-09-23 03:45:02.407921 : Epoch  6, Batch     86, Loss  0.876930, Average Loss  0.870164, Time  0.414441
2021-09-23 03:45:07.382726 : Epoch  6, Batch     87, Loss  0.878034, Average Loss  0.870243, Time  0.413713
2021-09-23 03:45:12.371190 : Epoch  6, Batch     88, Loss  0.873163, Average Loss  0.870244, Time  0.453954
2021-09-23 03:45:17.329933 : Epoch  6, Batch     89, Loss  0.880301, Average Loss  0.870294, Time  0.413474
2021-09-23 03:45:22.279799 : Epoch  6, Batch     90, Loss  0.869091, Average Loss  0.870302, Time  0.413258
2021-09-23 03:45:27.233718 : Epoch  6, Batch     91, Loss  0.872316, Average Loss  0.870295, Time  0.413105
2021-09-23 03:45:32.182908 : Epoch  6, Batch     92, Loss  0.877274, Average Loss  0.870323, Time  0.413457
2021-09-23 03:45:37.137899 : Epoch  6, Batch     93, Loss  0.857710, Average Loss  0.870293, Time  0.412937
2021-09-23 03:45:42.089727 : Epoch  6, Batch     94, Loss  0.883485, Average Loss  0.870397, Time  0.420877
2021-09-23 03:45:47.048725 : Epoch  6, Batch     95, Loss  0.872690, Average Loss  0.870432, Time  0.413115
2021-09-23 03:45:52.020920 : Epoch  6, Batch     96, Loss  0.880453, Average Loss  0.870502, Time  0.414142
2021-09-23 03:45:57.010020 : Epoch  6, Batch     97, Loss  0.886714, Average Loss  0.870640, Time  0.454417
2021-09-23 03:46:01.951925 : Epoch  6, Batch     98, Loss  0.859217, Average Loss  0.870655, Time  0.413157
2021-09-23 03:46:06.911758 : Epoch  6, Batch     99, Loss  0.863327, Average Loss  0.870589, Time  0.414241
2021-09-23 03:46:11.882727 : Epoch  6, Batch    100, Loss  0.872260, Average Loss  0.870539, Time  0.413286
2021-09-23 03:46:16.838773 : Epoch  6, Batch    101, Loss  0.853055, Average Loss  0.870425, Time  0.413011
2021-09-23 03:46:21.806905 : Epoch  6, Batch    102, Loss  0.858106, Average Loss  0.870314, Time  0.413354
2021-09-23 03:46:26.760965 : Epoch  6, Batch    103, Loss  0.879450, Average Loss  0.870411, Time  0.413112
2021-09-23 03:46:31.712346 : Epoch  6, Batch    104, Loss  0.870273, Average Loss  0.870412, Time  0.413250
2021-09-23 03:46:36.663906 : Epoch  6, Batch    105, Loss  0.866716, Average Loss  0.870347, Time  0.413253
2021-09-23 03:46:41.616053 : Epoch  6, Batch    106, Loss  0.880469, Average Loss  0.870412, Time  0.413516
2021-09-23 03:46:46.632803 : Epoch  6, Batch    107, Loss  0.873979, Average Loss  0.870457, Time  0.466406
2021-09-23 03:46:51.626959 : Epoch  6, Batch    108, Loss  0.870688, Average Loss  0.870431, Time  0.420526
2021-09-23 03:46:56.585747 : Epoch  6, Batch    109, Loss  0.862716, Average Loss  0.870361, Time  0.414329
2021-09-23 03:47:01.534821 : Epoch  6, Batch    110, Loss  0.849897, Average Loss  0.870261, Time  0.413813
2021-09-23 03:47:06.488023 : Epoch  6, Batch    111, Loss  0.873997, Average Loss  0.870317, Time  0.413583
2021-09-23 03:47:11.441744 : Epoch  6, Batch    112, Loss  0.875262, Average Loss  0.870356, Time  0.414049
2021-09-23 03:47:16.405946 : Epoch  6, Batch    113, Loss  0.877347, Average Loss  0.870291, Time  0.418323
2021-09-23 03:47:21.358854 : Epoch  6, Batch    114, Loss  0.877397, Average Loss  0.870386, Time  0.413568
2021-09-23 03:47:26.370976 : Epoch  6, Batch    115, Loss  0.872668, Average Loss  0.870297, Time  0.413037
2021-09-23 03:47:31.361849 : Epoch  6, Batch    116, Loss  0.881920, Average Loss  0.870432, Time  0.457069
2021-09-23 03:47:36.308963 : Epoch  6, Batch    117, Loss  0.883482, Average Loss  0.870506, Time  0.413611
2021-09-23 03:47:41.262932 : Epoch  6, Batch    118, Loss  0.863121, Average Loss  0.870451, Time  0.415924
2021-09-23 03:47:46.202022 : Epoch  6, Batch    119, Loss  0.879048, Average Loss  0.870551, Time  0.413494
2021-09-23 03:47:51.153729 : Epoch  6, Batch    120, Loss  0.865803, Average Loss  0.870454, Time  0.413161
2021-09-23 03:47:56.118822 : Epoch  6, Batch    121, Loss  0.875485, Average Loss  0.870467, Time  0.414606
2021-09-23 03:48:01.075244 : Epoch  6, Batch    122, Loss  0.871391, Average Loss  0.870454, Time  0.413728
2021-09-23 03:48:06.017810 : Epoch  6, Batch    123, Loss  0.871157, Average Loss  0.870403, Time  0.413724
2021-09-23 03:48:10.964745 : Epoch  6, Batch    124, Loss  0.861193, Average Loss  0.870281, Time  0.413740
2021-09-23 03:48:15.979911 : Epoch  6, Batch    125, Loss  0.856617, Average Loss  0.870303, Time  0.464531
2021-09-23 03:48:20.927765 : Epoch  6, Batch    126, Loss  0.869324, Average Loss  0.870303, Time  0.414356
2021-09-23 03:48:25.881880 : Epoch  6, Batch    127, Loss  0.868140, Average Loss  0.870279, Time  0.413313
2021-09-23 03:48:30.837924 : Epoch  6, Batch    128, Loss  0.861632, Average Loss  0.870196, Time  0.413111
2021-09-23 03:48:35.786727 : Epoch  6, Batch    129, Loss  0.880326, Average Loss  0.870215, Time  0.413251
2021-09-23 03:48:40.726739 : Epoch  6, Batch    130, Loss  0.871000, Average Loss  0.870229, Time  0.413112
2021-09-23 03:48:45.674800 : Epoch  6, Batch    131, Loss  0.878536, Average Loss  0.870203, Time  0.413042
2021-09-23 03:48:50.635967 : Epoch  6, Batch    132, Loss  0.873853, Average Loss  0.870202, Time  0.413343
2021-09-23 03:48:55.576896 : Epoch  6, Batch    133, Loss  0.877625, Average Loss  0.870255, Time  0.413144
2021-09-23 03:49:00.529885 : Epoch  6, Batch    134, Loss  0.888463, Average Loss  0.870386, Time  0.414214
2021-09-23 03:49:05.527871 : Epoch  6, Batch    135, Loss  0.885084, Average Loss  0.870494, Time  0.454708
2021-09-23 03:49:10.469941 : Epoch  6, Batch    136, Loss  0.870745, Average Loss  0.870470, Time  0.413408
2021-09-23 03:49:15.424106 : Epoch  6, Batch    137, Loss  0.856350, Average Loss  0.870422, Time  0.414880
2021-09-23 03:49:20.370742 : Epoch  6, Batch    138, Loss  0.871568, Average Loss  0.870366, Time  0.413387
2021-09-23 03:49:25.330015 : Epoch  6, Batch    139, Loss  0.866400, Average Loss  0.870330, Time  0.417696
2021-09-23 03:49:30.282064 : Epoch  6, Batch    140, Loss  0.868523, Average Loss  0.870316, Time  0.413071
2021-09-23 03:49:35.229929 : Epoch  6, Batch    141, Loss  0.871023, Average Loss  0.870422, Time  0.413023
2021-09-23 03:49:40.164029 : Epoch  6, Batch    142, Loss  0.880763, Average Loss  0.870561, Time  0.413657
2021-09-23 03:49:45.103918 : Epoch  6, Batch    143, Loss  0.867697, Average Loss  0.870622, Time  0.414701
2021-09-23 03:49:50.150945 : Epoch  6, Batch    144, Loss  0.856583, Average Loss  0.870494, Time  0.472979
2021-09-23 03:49:55.095784 : Epoch  6, Batch    145, Loss  0.865634, Average Loss  0.870454, Time  0.413113
2021-09-23 03:50:00.038933 : Epoch  6, Batch    146, Loss  0.870568, Average Loss  0.870473, Time  0.414370
2021-09-23 03:50:04.986926 : Epoch  6, Batch    147, Loss  0.863316, Average Loss  0.870468, Time  0.413187
2021-09-23 03:50:09.929996 : Epoch  6, Batch    148, Loss  0.862539, Average Loss  0.870428, Time  0.414122
2021-09-23 03:50:14.877730 : Epoch  6, Batch    149, Loss  0.867840, Average Loss  0.870486, Time  0.413733
2021-09-23 03:50:19.832044 : Epoch  6, Batch    150, Loss  0.865730, Average Loss  0.870450, Time  0.413919
2021-09-23 03:50:24.773731 : Epoch  6, Batch    151, Loss  0.869620, Average Loss  0.870487, Time  0.413464
2021-09-23 03:50:29.734772 : Epoch  6, Batch    152, Loss  0.869841, Average Loss  0.870506, Time  0.412994
2021-09-23 03:50:34.677770 : Epoch  6, Batch    153, Loss  0.880363, Average Loss  0.870549, Time  0.413013
2021-09-23 03:50:39.668935 : Epoch  6, Batch    154, Loss  0.867800, Average Loss  0.870567, Time  0.459732
2021-09-23 03:50:44.615972 : Epoch  6, Batch    155, Loss  0.858622, Average Loss  0.870488, Time  0.412817
2021-09-23 03:50:49.566903 : Epoch  6, Batch    156, Loss  0.858814, Average Loss  0.870430, Time  0.414579
2021-09-23 03:50:54.514808 : Epoch  6, Batch    157, Loss  0.862998, Average Loss  0.870451, Time  0.413203
2021-09-23 03:50:59.450880 : Epoch  6, Batch    158, Loss  0.860963, Average Loss  0.870390, Time  0.413129
2021-09-23 03:51:04.424743 : Epoch  6, Batch    159, Loss  0.863971, Average Loss  0.870367, Time  0.415552
2021-09-23 03:51:09.378870 : Epoch  6, Batch    160, Loss  0.858869, Average Loss  0.870336, Time  0.413500
2021-09-23 03:55:05.809726 : CheckPoint: Validation Loss  0.00015586, Best Loss  0.00014643
2021-09-23 03:55:10.769854 : Epoch  6, Batch    161, Loss  0.854013, Average Loss  0.870187, Time  0.415701
2021-09-23 03:55:15.747831 : Epoch  6, Batch    162, Loss  0.884781, Average Loss  0.870316, Time  0.414424
2021-09-23 03:55:20.738709 : Epoch  6, Batch    163, Loss  0.877058, Average Loss  0.870383, Time  0.448530
2021-09-23 03:55:25.705938 : Epoch  6, Batch    164, Loss  0.866658, Average Loss  0.870400, Time  0.413055
2021-09-23 03:55:30.814962 : Epoch  6, Batch    165, Loss  0.874543, Average Loss  0.870474, Time  0.412937
2021-09-23 03:55:35.778129 : Epoch  6, Batch    166, Loss  0.872636, Average Loss  0.870435, Time  0.412970
2021-09-23 03:55:40.741808 : Epoch  6, Batch    167, Loss  0.870013, Average Loss  0.870497, Time  0.413494
2021-09-23 03:55:45.706798 : Epoch  6, Batch    168, Loss  0.875439, Average Loss  0.870555, Time  0.413153
2021-09-23 03:55:50.652031 : Epoch  6, Batch    169, Loss  0.872276, Average Loss  0.870579, Time  0.413285
2021-09-23 03:55:55.638932 : Epoch  6, Batch    170, Loss  0.862809, Average Loss  0.870556, Time  0.414476
2021-09-23 03:56:00.702754 : Epoch  6, Batch    171, Loss  0.879688, Average Loss  0.870621, Time  0.414220
2021-09-23 03:56:05.720965 : Epoch  6, Batch    172, Loss  0.860343, Average Loss  0.870542, Time  0.455051
2021-09-23 03:56:10.678770 : Epoch  6, Batch    173, Loss  0.868820, Average Loss  0.870501, Time  0.413171
2021-09-23 03:56:15.635742 : Epoch  6, Batch    174, Loss  0.870283, Average Loss  0.870485, Time  0.414001
2021-09-23 03:56:20.592896 : Epoch  6, Batch    175, Loss  0.889407, Average Loss  0.870562, Time  0.413241
2021-09-23 03:56:25.560758 : Epoch  6, Batch    176, Loss  0.870878, Average Loss  0.870548, Time  0.413255
2021-09-23 03:56:30.531893 : Epoch  6, Batch    177, Loss  0.881404, Average Loss  0.870637, Time  0.413065
2021-09-23 03:56:35.485788 : Epoch  6, Batch    178, Loss  0.885695, Average Loss  0.870710, Time  0.413333
2021-09-23 03:56:40.447733 : Epoch  6, Batch    179, Loss  0.857603, Average Loss  0.870596, Time  0.413314
2021-09-23 03:56:45.408843 : Epoch  6, Batch    180, Loss  0.868933, Average Loss  0.870647, Time  0.413301
2021-09-23 03:56:50.402931 : Epoch  6, Batch    181, Loss  0.859296, Average Loss  0.870522, Time  0.451266
2021-09-23 03:56:55.352614 : Epoch  6, Batch    182, Loss  0.883173, Average Loss  0.870590, Time  0.413421
2021-09-23 03:57:00.315004 : Epoch  6, Batch    183, Loss  0.874988, Average Loss  0.870719, Time  0.414598
2021-09-23 03:57:05.279793 : Epoch  6, Batch    184, Loss  0.872193, Average Loss  0.870737, Time  0.413466
2021-09-23 03:57:10.239051 : Epoch  6, Batch    185, Loss  0.870497, Average Loss  0.870681, Time  0.414210
2021-09-23 03:57:15.206418 : Epoch  6, Batch    186, Loss  0.876230, Average Loss  0.870690, Time  0.413914
2021-09-23 03:57:20.170960 : Epoch  6, Batch    187, Loss  0.864793, Average Loss  0.870590, Time  0.414056
2021-09-23 03:57:25.138801 : Epoch  6, Batch    188, Loss  0.863172, Average Loss  0.870553, Time  0.413635
2021-09-23 03:57:30.111718 : Epoch  6, Batch    189, Loss  0.861625, Average Loss  0.870489, Time  0.413323
2021-09-23 03:57:35.175891 : Epoch  6, Batch    190, Loss  0.867160, Average Loss  0.870435, Time  0.465736
2021-09-23 03:57:40.210037 : Epoch  6, Batch    191, Loss  0.866747, Average Loss  0.870376, Time  0.418611
2021-09-23 03:57:45.167873 : Epoch  6, Batch    192, Loss  0.868676, Average Loss  0.870314, Time  0.413504
2021-09-23 03:57:50.129789 : Epoch  6, Batch    193, Loss  0.853713, Average Loss  0.870235, Time  0.413150
2021-09-23 03:57:55.090950 : Epoch  6, Batch    194, Loss  0.874606, Average Loss  0.870173, Time  0.413460
2021-09-23 03:58:00.052725 : Epoch  6, Batch    195, Loss  0.860716, Average Loss  0.870123, Time  0.413095
2021-09-23 03:58:05.020883 : Epoch  6, Batch    196, Loss  0.873496, Average Loss  0.870142, Time  0.414343
2021-09-23 03:58:09.993816 : Epoch  6, Batch    197, Loss  0.874558, Average Loss  0.870172, Time  0.417329
2021-09-23 03:58:14.956108 : Epoch  6, Batch    198, Loss  0.875290, Average Loss  0.870171, Time  0.413641
2021-09-23 03:58:20.008766 : Epoch  6, Batch    199, Loss  0.852641, Average Loss  0.870049, Time  0.467129
2021-09-23 03:58:24.979933 : Epoch  6, Batch    200, Loss  0.878601, Average Loss  0.870046, Time  0.420203
2021-09-23 03:58:29.938119 : Epoch  6, Batch    201, Loss  0.869435, Average Loss  0.869997, Time  0.413553
2021-09-23 03:58:34.892959 : Epoch  6, Batch    202, Loss  0.874029, Average Loss  0.870028, Time  0.413086
2021-09-23 03:58:39.904005 : Epoch  6, Batch    203, Loss  0.868079, Average Loss  0.870054, Time  0.413496
2021-09-23 03:58:44.863743 : Epoch  6, Batch    204, Loss  0.865520, Average Loss  0.869987, Time  0.413025
2021-09-23 03:58:49.830743 : Epoch  6, Batch    205, Loss  0.864564, Average Loss  0.869945, Time  0.414577
2021-09-23 03:58:54.798216 : Epoch  6, Batch    206, Loss  0.869553, Average Loss  0.869824, Time  0.413547
2021-09-23 03:58:59.753953 : Epoch  6, Batch    207, Loss  0.870163, Average Loss  0.869919, Time  0.412808
2021-09-23 03:59:04.731769 : Epoch  6, Batch    208, Loss  0.879806, Average Loss  0.869973, Time  0.414546
2021-09-23 03:59:09.749880 : Epoch  6, Batch    209, Loss  0.864386, Average Loss  0.869912, Time  0.461809
2021-09-23 03:59:14.706934 : Epoch  6, Batch    210, Loss  0.854686, Average Loss  0.869815, Time  0.414269
2021-09-23 03:59:19.666771 : Epoch  6, Batch    211, Loss  0.884979, Average Loss  0.869805, Time  0.413590
2021-09-23 03:59:24.628922 : Epoch  6, Batch    212, Loss  0.869129, Average Loss  0.869737, Time  0.413982
2021-09-23 03:59:29.664103 : Epoch  6, Batch    213, Loss  0.867702, Average Loss  0.869775, Time  0.414606
2021-09-23 03:59:34.618912 : Epoch  6, Batch    214, Loss  0.883051, Average Loss  0.869995, Time  0.413408
2021-09-23 03:59:39.585796 : Epoch  6, Batch    215, Loss  0.874060, Average Loss  0.870047, Time  0.413072
2021-09-23 03:59:44.539954 : Epoch  6, Batch    216, Loss  0.874409, Average Loss  0.869991, Time  0.413494
2021-09-23 03:59:49.508952 : Epoch  6, Batch    217, Loss  0.864105, Average Loss  0.869943, Time  0.413070
2021-09-23 03:59:54.501930 : Epoch  6, Batch    218, Loss  0.857823, Average Loss  0.869892, Time  0.448610
2021-09-23 03:59:59.451956 : Epoch  6, Batch    219, Loss  0.873086, Average Loss  0.869924, Time  0.413385
2021-09-23 04:00:04.424765 : Epoch  6, Batch    220, Loss  0.876003, Average Loss  0.869925, Time  0.413912
2021-09-23 04:00:09.378764 : Epoch  6, Batch    221, Loss  0.874065, Average Loss  0.869967, Time  0.414466
2021-09-23 04:00:14.327510 : Epoch  6, Batch    222, Loss  0.869494, Average Loss  0.869982, Time  0.413970
2021-09-23 04:00:19.305348 : Epoch  6, Batch    223, Loss  0.859657, Average Loss  0.869958, Time  0.413870
2021-09-23 04:00:24.262353 : Epoch  6, Batch    224, Loss  0.877900, Average Loss  0.869979, Time  0.413533
2021-09-23 04:00:29.243677 : Epoch  6, Batch    225, Loss  0.869800, Average Loss  0.869983, Time  0.414083
2021-09-23 04:00:34.198926 : Epoch  6, Batch    226, Loss  0.873821, Average Loss  0.869895, Time  0.413584
2021-09-23 04:00:39.189906 : Epoch  6, Batch    227, Loss  0.879250, Average Loss  0.870007, Time  0.451158
2021-09-23 04:00:44.144919 : Epoch  6, Batch    228, Loss  0.867449, Average Loss  0.869970, Time  0.413263
2021-09-23 04:00:49.102168 : Epoch  6, Batch    229, Loss  0.886169, Average Loss  0.870058, Time  0.413363
2021-09-23 04:00:54.062908 : Epoch  6, Batch    230, Loss  0.862350, Average Loss  0.869982, Time  0.413132
2021-09-23 04:00:59.016726 : Epoch  6, Batch    231, Loss  0.865515, Average Loss  0.869989, Time  0.413120
2021-09-23 04:01:03.973053 : Epoch  6, Batch    232, Loss  0.859725, Average Loss  0.870011, Time  0.413610
2021-09-23 04:01:08.926722 : Epoch  6, Batch    233, Loss  0.870055, Average Loss  0.870020, Time  0.412863
2021-09-23 04:01:13.892948 : Epoch  6, Batch    234, Loss  0.872581, Average Loss  0.870012, Time  0.416857
2021-09-23 04:01:18.856759 : Epoch  6, Batch    235, Loss  0.875375, Average Loss  0.870113, Time  0.413553
2021-09-23 04:01:23.821815 : Epoch  6, Batch    236, Loss  0.862918, Average Loss  0.870153, Time  0.414202
2021-09-23 04:01:28.833844 : Epoch  6, Batch    237, Loss  0.866426, Average Loss  0.870126, Time  0.457919
2021-09-23 04:01:33.800846 : Epoch  6, Batch    238, Loss  0.864206, Average Loss  0.870040, Time  0.413660
2021-09-23 04:01:38.761990 : Epoch  6, Batch    239, Loss  0.867846, Average Loss  0.870018, Time  0.413263
2021-09-23 04:01:43.712215 : Epoch  6, Batch    240, Loss  0.867513, Average Loss  0.870029, Time  0.412910
2021-09-23 04:01:48.667955 : Epoch  6, Batch    241, Loss  0.865659, Average Loss  0.870056, Time  0.413023
2021-09-23 04:01:53.618861 : Epoch  6, Batch    242, Loss  0.868853, Average Loss  0.870110, Time  0.413008
2021-09-23 04:01:58.580938 : Epoch  6, Batch    243, Loss  0.865158, Average Loss  0.870142, Time  0.413098
2021-09-23 04:02:03.539745 : Epoch  6, Batch    244, Loss  0.864335, Average Loss  0.870132, Time  0.413116
2021-09-23 04:02:08.488926 : Epoch  6, Batch    245, Loss  0.871584, Average Loss  0.870099, Time  0.413223
2021-09-23 04:02:13.507772 : Epoch  6, Batch    246, Loss  0.872273, Average Loss  0.870097, Time  0.462372
2021-09-23 04:02:18.475761 : Epoch  6, Batch    247, Loss  0.860752, Average Loss  0.870028, Time  0.414060
2021-09-23 04:02:23.448839 : Epoch  6, Batch    248, Loss  0.871655, Average Loss  0.870081, Time  0.413926
2021-09-23 04:02:28.402949 : Epoch  6, Batch    249, Loss  0.866383, Average Loss  0.870044, Time  0.413374
2021-09-23 04:02:33.358940 : Epoch  6, Batch    250, Loss  0.877037, Average Loss  0.870096, Time  0.413494
2021-09-23 04:02:38.311727 : Epoch  6, Batch    251, Loss  0.876789, Average Loss  0.870140, Time  0.413531
2021-09-23 04:02:43.266849 : Epoch  6, Batch    252, Loss  0.871027, Average Loss  0.870064, Time  0.414178
2021-09-23 04:02:48.259853 : Epoch  6, Batch    253, Loss  0.857653, Average Loss  0.870064, Time  0.413362
2021-09-23 04:02:53.213906 : Epoch  6, Batch    254, Loss  0.870252, Average Loss  0.870027, Time  0.413240
2021-09-23 04:02:58.215827 : Epoch  6, Batch    255, Loss  0.880138, Average Loss  0.870082, Time  0.461433
2021-09-23 04:03:03.169817 : Epoch  6, Batch    256, Loss  0.865437, Average Loss  0.870144, Time  0.413257
2021-09-23 04:03:08.131017 : Epoch  6, Batch    257, Loss  0.866506, Average Loss  0.870152, Time  0.413226
2021-09-23 04:03:13.101778 : Epoch  6, Batch    258, Loss  0.877062, Average Loss  0.870143, Time  0.414200
2021-09-23 04:03:18.059894 : Epoch  6, Batch    259, Loss  0.860079, Average Loss  0.870110, Time  0.413105
2021-09-23 04:03:23.026135 : Epoch  6, Batch    260, Loss  0.862781, Average Loss  0.870031, Time  0.414539
2021-09-23 04:07:19.230721 : CheckPoint: Validation Loss  0.00015087, Best Loss  0.00014643
2021-09-23 04:07:24.182014 : Epoch  6, Batch    261, Loss  0.869573, Average Loss  0.870023, Time  0.414603
2021-09-23 04:07:29.134879 : Epoch  6, Batch    262, Loss  0.872621, Average Loss  0.870071, Time  0.413461
2021-09-23 04:07:34.073736 : Epoch  6, Batch    263, Loss  0.870733, Average Loss  0.870041, Time  0.413178
2021-09-23 04:07:39.069766 : Epoch  6, Batch    264, Loss  0.864546, Average Loss  0.870028, Time  0.460860
2021-09-23 04:07:44.013713 : Epoch  6, Batch    265, Loss  0.883804, Average Loss  0.870092, Time  0.412971
2021-09-23 04:07:49.015224 : Epoch  6, Batch    266, Loss  0.843010, Average Loss  0.869935, Time  0.413221
2021-09-23 04:07:53.955841 : Epoch  6, Batch    267, Loss  0.871197, Average Loss  0.869926, Time  0.412883
2021-09-23 04:07:58.901025 : Epoch  6, Batch    268, Loss  0.878383, Average Loss  0.869961, Time  0.412809
2021-09-23 04:08:03.847749 : Epoch  6, Batch    269, Loss  0.873591, Average Loss  0.869961, Time  0.413288
2021-09-23 04:08:08.802895 : Epoch  6, Batch    270, Loss  0.869841, Average Loss  0.869930, Time  0.414298
2021-09-23 04:08:13.759009 : Epoch  6, Batch    271, Loss  0.874503, Average Loss  0.870008, Time  0.423535
2021-09-23 04:08:18.707098 : Epoch  6, Batch    272, Loss  0.871056, Average Loss  0.870034, Time  0.413823
2021-09-23 04:08:23.658750 : Epoch  6, Batch    273, Loss  0.861057, Average Loss  0.870034, Time  0.413403
2021-09-23 04:08:28.644920 : Epoch  6, Batch    274, Loss  0.871224, Average Loss  0.870002, Time  0.457171
2021-09-23 04:08:33.587742 : Epoch  6, Batch    275, Loss  0.859127, Average Loss  0.869953, Time  0.413105
2021-09-23 04:08:38.574977 : Epoch  6, Batch    276, Loss  0.874580, Average Loss  0.869994, Time  0.414282
2021-09-23 04:08:43.523834 : Epoch  6, Batch    277, Loss  0.871054, Average Loss  0.869962, Time  0.413305
2021-09-23 04:08:48.470036 : Epoch  6, Batch    278, Loss  0.874982, Average Loss  0.869980, Time  0.413401
2021-09-23 04:08:53.404932 : Epoch  6, Batch    279, Loss  0.863812, Average Loss  0.869893, Time  0.413018
2021-09-23 04:08:58.379075 : Epoch  6, Batch    280, Loss  0.884200, Average Loss  0.869962, Time  0.413296
2021-09-23 04:09:03.321950 : Epoch  6, Batch    281, Loss  0.866209, Average Loss  0.869946, Time  0.413203
2021-09-23 04:09:08.264760 : Epoch  6, Batch    282, Loss  0.867966, Average Loss  0.869902, Time  0.413292
2021-09-23 04:09:13.270759 : Epoch  6, Batch    283, Loss  0.861370, Average Loss  0.869895, Time  0.447413
2021-09-23 04:09:18.249030 : Epoch  6, Batch    284, Loss  0.863278, Average Loss  0.869879, Time  0.413920
2021-09-23 04:09:23.189014 : Epoch  6, Batch    285, Loss  0.868012, Average Loss  0.869893, Time  0.413819
2021-09-23 04:09:28.143767 : Epoch  6, Batch    286, Loss  0.882919, Average Loss  0.869923, Time  0.413420
2021-09-23 04:09:33.102719 : Epoch  6, Batch    287, Loss  0.872124, Average Loss  0.869893, Time  0.414326
2021-09-23 04:09:38.068814 : Epoch  6, Batch    288, Loss  0.860411, Average Loss  0.869830, Time  0.413534
2021-09-23 04:09:43.025984 : Epoch  6, Batch    289, Loss  0.860723, Average Loss  0.869732, Time  0.413046
2021-09-23 04:09:47.984977 : Epoch  6, Batch    290, Loss  0.885583, Average Loss  0.869814, Time  0.414642
2021-09-23 04:09:52.947849 : Epoch  6, Batch    291, Loss  0.875307, Average Loss  0.869829, Time  0.413606
2021-09-23 04:09:57.890960 : Epoch  6, Batch    292, Loss  0.862158, Average Loss  0.869754, Time  0.413297
2021-09-23 04:10:03.015096 : Epoch  6, Batch    293, Loss  0.871516, Average Loss  0.869823, Time  0.461985
2021-09-23 04:10:08.014718 : Epoch  6, Batch    294, Loss  0.856783, Average Loss  0.869689, Time  0.413040
2021-09-23 04:10:13.039716 : Epoch  6, Batch    295, Loss  0.868059, Average Loss  0.869666, Time  0.414228
2021-09-23 04:10:17.985074 : Epoch  6, Batch    296, Loss  0.871730, Average Loss  0.869622, Time  0.413108
2021-09-23 04:10:22.985026 : Epoch  6, Batch    297, Loss  0.880480, Average Loss  0.869591, Time  0.414048
2021-09-23 04:10:27.930878 : Epoch  6, Batch    298, Loss  0.881298, Average Loss  0.869702, Time  0.413179
2021-09-23 04:10:32.890788 : Epoch  6, Batch    299, Loss  0.875992, Average Loss  0.869765, Time  0.414015
2021-09-23 04:10:37.848049 : Epoch  6, Batch    300, Loss  0.869726, Average Loss  0.869752, Time  0.413241
2021-09-23 04:10:42.801127 : Epoch  6, Batch    301, Loss  0.861430, Average Loss  0.869794, Time  0.412965
2021-09-23 04:10:47.784929 : Epoch  6, Batch    302, Loss  0.877723, Average Loss  0.869892, Time  0.454854
2021-09-23 04:10:52.741775 : Epoch  6, Batch    303, Loss  0.869080, Average Loss  0.869840, Time  0.413215
2021-09-23 04:10:57.683799 : Epoch  6, Batch    304, Loss  0.870660, Average Loss  0.869842, Time  0.413303
2021-09-23 04:11:02.643868 : Epoch  6, Batch    305, Loss  0.869733, Average Loss  0.869857, Time  0.413245
2021-09-23 04:11:07.581729 : Epoch  6, Batch    306, Loss  0.885399, Average Loss  0.869882, Time  0.413033
2021-09-23 04:11:12.522782 : Epoch  6, Batch    307, Loss  0.873723, Average Loss  0.869881, Time  0.413043
2021-09-23 04:11:17.480770 : Epoch  6, Batch    308, Loss  0.867673, Average Loss  0.869866, Time  0.414271
2021-09-23 04:11:22.440943 : Epoch  6, Batch    309, Loss  0.873126, Average Loss  0.869918, Time  0.414379
2021-09-23 04:11:27.390344 : Epoch  6, Batch    310, Loss  0.877859, Average Loss  0.870058, Time  0.414134
2021-09-23 04:11:32.389783 : Epoch  6, Batch    311, Loss  0.884673, Average Loss  0.870111, Time  0.463490
2021-09-23 04:11:37.340757 : Epoch  6, Batch    312, Loss  0.859270, Average Loss  0.870031, Time  0.421158
2021-09-23 04:11:42.286738 : Epoch  6, Batch    313, Loss  0.868657, Average Loss  0.869987, Time  0.413188
2021-09-23 04:11:47.239093 : Epoch  6, Batch    314, Loss  0.861898, Average Loss  0.869910, Time  0.413441
2021-09-23 04:11:52.192809 : Epoch  6, Batch    315, Loss  0.861760, Average Loss  0.869855, Time  0.413299
2021-09-23 04:11:57.144992 : Epoch  6, Batch    316, Loss  0.881145, Average Loss  0.869852, Time  0.413354
2021-09-23 04:12:02.099868 : Epoch  6, Batch    317, Loss  0.870944, Average Loss  0.869789, Time  0.412994
2021-09-23 04:12:07.047106 : Epoch  6, Batch    318, Loss  0.865058, Average Loss  0.869799, Time  0.413137
2021-09-23 04:12:11.986996 : Epoch  6, Batch    319, Loss  0.884362, Average Loss  0.869825, Time  0.412813
2021-09-23 04:12:16.988766 : Epoch  6, Batch    320, Loss  0.854803, Average Loss  0.869770, Time  0.454626
2021-09-23 04:12:21.949729 : Epoch  6, Batch    321, Loss  0.864281, Average Loss  0.869714, Time  0.414613
2021-09-23 04:12:26.914804 : Epoch  6, Batch    322, Loss  0.860774, Average Loss  0.869661, Time  0.413347
2021-09-23 04:12:31.866049 : Epoch  6, Batch    323, Loss  0.864774, Average Loss  0.869629, Time  0.413939
2021-09-23 04:12:36.818012 : Epoch  6, Batch    324, Loss  0.859464, Average Loss  0.869620, Time  0.413399
2021-09-23 04:12:41.772732 : Epoch  6, Batch    325, Loss  0.868743, Average Loss  0.869681, Time  0.412837
2021-09-23 04:12:46.729888 : Epoch  6, Batch    326, Loss  0.878562, Average Loss  0.869727, Time  0.413615
2021-09-23 04:12:51.679726 : Epoch  6, Batch    327, Loss  0.870322, Average Loss  0.869738, Time  0.413003
2021-09-23 04:12:56.670741 : Epoch  6, Batch    328, Loss  0.867772, Average Loss  0.869769, Time  0.413395
2021-09-23 04:13:01.622863 : Epoch  6, Batch    329, Loss  0.874967, Average Loss  0.869742, Time  0.413346
2021-09-23 04:13:06.633713 : Epoch  6, Batch    330, Loss  0.863979, Average Loss  0.869707, Time  0.475174
2021-09-23 04:13:11.574957 : Epoch  6, Batch    331, Loss  0.867065, Average Loss  0.869650, Time  0.415615
2021-09-23 04:13:16.529754 : Epoch  6, Batch    332, Loss  0.862944, Average Loss  0.869595, Time  0.412728
2021-09-23 04:13:21.490904 : Epoch  6, Batch    333, Loss  0.882889, Average Loss  0.869621, Time  0.413503
2021-09-23 04:13:26.445314 : Epoch  6, Batch    334, Loss  0.880923, Average Loss  0.869584, Time  0.414885
2021-09-23 04:13:31.400970 : Epoch  6, Batch    335, Loss  0.887393, Average Loss  0.869595, Time  0.413921
2021-09-23 04:13:36.361850 : Epoch  6, Batch    336, Loss  0.857852, Average Loss  0.869531, Time  0.413660
2021-09-23 04:13:41.319744 : Epoch  6, Batch    337, Loss  0.882036, Average Loss  0.869659, Time  0.414356
2021-09-23 04:13:46.282934 : Epoch  6, Batch    338, Loss  0.866499, Average Loss  0.869634, Time  0.413201
2021-09-23 04:13:51.261724 : Epoch  6, Batch    339, Loss  0.859303, Average Loss  0.869598, Time  0.435402
2021-09-23 04:13:56.212060 : Epoch  6, Batch    340, Loss  0.870657, Average Loss  0.869609, Time  0.413803
2021-09-23 04:14:01.167930 : Epoch  6, Batch    341, Loss  0.867586, Average Loss  0.869592, Time  0.412945
2021-09-23 04:14:06.121031 : Epoch  6, Batch    342, Loss  0.874459, Average Loss  0.869560, Time  0.413456
2021-09-23 04:14:11.081733 : Epoch  6, Batch    343, Loss  0.872324, Average Loss  0.869584, Time  0.412879
2021-09-23 04:14:16.024936 : Epoch  6, Batch    344, Loss  0.846100, Average Loss  0.869531, Time  0.413320
2021-09-23 04:14:20.977689 : Epoch  6, Batch    345, Loss  0.869204, Average Loss  0.869549, Time  0.413009
2021-09-23 04:14:25.937847 : Epoch  6, Batch    346, Loss  0.870798, Average Loss  0.869550, Time  0.414157
2021-09-23 04:14:30.889247 : Epoch  6, Batch    347, Loss  0.864997, Average Loss  0.869559, Time  0.413627
2021-09-23 04:14:35.855876 : Epoch  6, Batch    348, Loss  0.866422, Average Loss  0.869578, Time  0.413960
2021-09-23 04:14:40.869028 : Epoch  6, Batch    349, Loss  0.880922, Average Loss  0.869643, Time  0.466530
2021-09-23 04:14:45.826772 : Epoch  6, Batch    350, Loss  0.877700, Average Loss  0.869703, Time  0.416826
2021-09-23 04:14:50.800832 : Epoch  6, Batch    351, Loss  0.882626, Average Loss  0.869768, Time  0.412987
2021-09-23 04:14:55.765779 : Epoch  6, Batch    352, Loss  0.862987, Average Loss  0.869734, Time  0.412995
2021-09-23 04:15:00.715733 : Epoch  6, Batch    353, Loss  0.870856, Average Loss  0.869686, Time  0.413233
2021-09-23 04:15:05.665874 : Epoch  6, Batch    354, Loss  0.851425, Average Loss  0.869605, Time  0.413574
2021-09-23 04:15:10.614957 : Epoch  6, Batch    355, Loss  0.873560, Average Loss  0.869679, Time  0.413614
2021-09-23 04:15:15.555864 : Epoch  6, Batch    356, Loss  0.882886, Average Loss  0.869800, Time  0.413047
2021-09-23 04:15:20.504872 : Epoch  6, Batch    357, Loss  0.859886, Average Loss  0.869784, Time  0.413040
2021-09-23 04:15:25.482005 : Epoch  6, Batch    358, Loss  0.884679, Average Loss  0.869903, Time  0.448229
2021-09-23 04:15:30.427956 : Epoch  6, Batch    359, Loss  0.870334, Average Loss  0.869934, Time  0.414134
2021-09-23 04:15:43.895964 : Epoch  6, Batch    360, Loss  0.865655, Average Loss  0.869968, Time  0.414377
2021-09-23 04:19:38.786720 : CheckPoint: Validation Loss  0.00015176, Best Loss  0.00014643
2021-09-23 04:19:43.742549 : Epoch  6, Batch    361, Loss  0.862670, Average Loss  0.870012, Time  0.414534
2021-09-23 04:19:48.705762 : Epoch  6, Batch    362, Loss  0.865754, Average Loss  0.869916, Time  0.413108
2021-09-23 04:19:53.670791 : Epoch  6, Batch    363, Loss  0.862926, Average Loss  0.869846, Time  0.413336
2021-09-23 04:19:58.626884 : Epoch  6, Batch    364, Loss  0.867958, Average Loss  0.869852, Time  0.413095
2021-09-23 04:20:03.598879 : Epoch  6, Batch    365, Loss  0.857695, Average Loss  0.869768, Time  0.413717
2021-09-23 04:20:08.608982 : Epoch  6, Batch    366, Loss  0.881375, Average Loss  0.869812, Time  0.459730
2021-09-23 04:20:13.566847 : Epoch  6, Batch    367, Loss  0.883191, Average Loss  0.869878, Time  0.413504
2021-09-23 04:20:18.534017 : Epoch  6, Batch    368, Loss  0.874859, Average Loss  0.869875, Time  0.414529
2021-09-23 04:20:23.485929 : Epoch  6, Batch    369, Loss  0.875472, Average Loss  0.869891, Time  0.413305
2021-09-23 04:20:28.434813 : Epoch  6, Batch    370, Loss  0.885489, Average Loss  0.870004, Time  0.413872
2021-09-23 04:20:33.395000 : Epoch  6, Batch    371, Loss  0.877490, Average Loss  0.869993, Time  0.413677
2021-09-23 04:20:38.347062 : Epoch  6, Batch    372, Loss  0.871009, Average Loss  0.870046, Time  0.413112
2021-09-23 04:20:43.306747 : Epoch  6, Batch    373, Loss  0.880989, Average Loss  0.870107, Time  0.417978
2021-09-23 04:20:48.258773 : Epoch  6, Batch    374, Loss  0.877369, Average Loss  0.870143, Time  0.413338
2021-09-23 04:20:53.274215 : Epoch  6, Batch    375, Loss  0.867300, Average Loss  0.870032, Time  0.463674
2021-09-23 04:20:58.242924 : Epoch  6, Batch    376, Loss  0.873118, Average Loss  0.870043, Time  0.419729
2021-09-23 04:21:03.196910 : Epoch  6, Batch    377, Loss  0.866045, Average Loss  0.869967, Time  0.413062
2021-09-23 04:21:08.150364 : Epoch  6, Batch    378, Loss  0.867088, Average Loss  0.869874, Time  0.413346
2021-09-23 04:21:13.108007 : Epoch  6, Batch    379, Loss  0.856883, Average Loss  0.869870, Time  0.413038
2021-09-23 04:21:18.070949 : Epoch  6, Batch    380, Loss  0.894967, Average Loss  0.870000, Time  0.413138
2021-09-23 04:21:23.032809 : Epoch  6, Batch    381, Loss  0.882118, Average Loss  0.870114, Time  0.415407
2021-09-23 04:21:27.994800 : Epoch  6, Batch    382, Loss  0.861164, Average Loss  0.870004, Time  0.413645
2021-09-23 04:21:32.947892 : Epoch  6, Batch    383, Loss  0.881053, Average Loss  0.870035, Time  0.413620
2021-09-23 04:21:37.909068 : Epoch  6, Batch    384, Loss  0.876493, Average Loss  0.870056, Time  0.415272
2021-09-23 04:21:42.896945 : Epoch  6, Batch    385, Loss  0.864236, Average Loss  0.870025, Time  0.448519
2021-09-23 04:21:47.864911 : Epoch  6, Batch    386, Loss  0.869357, Average Loss  0.869990, Time  0.413487
2021-09-23 04:21:52.812892 : Epoch  6, Batch    387, Loss  0.866647, Average Loss  0.870000, Time  0.413221
2021-09-23 04:21:57.786868 : Epoch  6, Batch    388, Loss  0.859704, Average Loss  0.869982, Time  0.413627
2021-09-23 04:22:02.733957 : Epoch  6, Batch    389, Loss  0.867907, Average Loss  0.870014, Time  0.413048
2021-09-23 04:22:07.697746 : Epoch  6, Batch    390, Loss  0.884381, Average Loss  0.870100, Time  0.415529
2021-09-23 04:22:12.644931 : Epoch  6, Batch    391, Loss  0.857982, Average Loss  0.870056, Time  0.413269
2021-09-23 04:22:17.602959 : Epoch  6, Batch    392, Loss  0.860987, Average Loss  0.870018, Time  0.413903
2021-09-23 04:22:22.561374 : Epoch  6, Batch    393, Loss  0.873823, Average Loss  0.870118, Time  0.413417
2021-09-23 04:22:27.557940 : Epoch  6, Batch    394, Loss  0.876849, Average Loss  0.870129, Time  0.453698
2021-09-23 04:22:32.517874 : Epoch  6, Batch    395, Loss  0.867650, Average Loss  0.870164, Time  0.413767
2021-09-23 04:22:37.473741 : Epoch  6, Batch    396, Loss  0.874531, Average Loss  0.870169, Time  0.413749
2021-09-23 04:22:42.443069 : Epoch  6, Batch    397, Loss  0.875323, Average Loss  0.870173, Time  0.414244
2021-09-23 04:22:47.404623 : Epoch  6, Batch    398, Loss  0.862816, Average Loss  0.870111, Time  0.413483
2021-09-23 04:22:52.370728 : Epoch  6, Batch    399, Loss  0.868041, Average Loss  0.870188, Time  0.419832
2021-09-23 04:22:57.330029 : Epoch  6, Batch    400, Loss  0.875118, Average Loss  0.870170, Time  0.413345
2021-09-23 04:23:02.273918 : Epoch  6, Batch    401, Loss  0.863160, Average Loss  0.870139, Time  0.413465
2021-09-23 04:23:07.234869 : Epoch  6, Batch    402, Loss  0.865077, Average Loss  0.870094, Time  0.413115
2021-09-23 04:23:12.221508 : Epoch  6, Batch    403, Loss  0.855589, Average Loss  0.870032, Time  0.454394
2021-09-23 04:23:17.170774 : Epoch  6, Batch    404, Loss  0.871843, Average Loss  0.870063, Time  0.413496
2021-09-23 04:23:22.121727 : Epoch  6, Batch    405, Loss  0.879921, Average Loss  0.870140, Time  0.413497
2021-09-23 04:23:27.087938 : Epoch  6, Batch    406, Loss  0.872742, Average Loss  0.870156, Time  0.414637
2021-09-23 04:23:32.044003 : Epoch  6, Batch    407, Loss  0.872687, Average Loss  0.870169, Time  0.413422
2021-09-23 04:23:37.003844 : Epoch  6, Batch    408, Loss  0.882865, Average Loss  0.870184, Time  0.414247
2021-09-23 04:23:41.969772 : Epoch  6, Batch    409, Loss  0.856678, Average Loss  0.870145, Time  0.414044
2021-09-23 04:23:46.930978 : Epoch  6, Batch    410, Loss  0.865205, Average Loss  0.870198, Time  0.413814
2021-09-23 04:23:51.898746 : Epoch  6, Batch    411, Loss  0.867203, Average Loss  0.870109, Time  0.413332
2021-09-23 04:23:56.858744 : Epoch  6, Batch    412, Loss  0.861706, Average Loss  0.870072, Time  0.413111
2021-09-23 04:24:01.862841 : Epoch  6, Batch    413, Loss  0.878112, Average Loss  0.870124, Time  0.466164
2021-09-23 04:24:06.829823 : Epoch  6, Batch    414, Loss  0.881137, Average Loss  0.870114, Time  0.421182
2021-09-23 04:24:11.778933 : Epoch  6, Batch    415, Loss  0.883223, Average Loss  0.870160, Time  0.413422
2021-09-23 04:24:16.726737 : Epoch  6, Batch    416, Loss  0.871370, Average Loss  0.870145, Time  0.413419
2021-09-23 04:24:21.686994 : Epoch  6, Batch    417, Loss  0.859493, Average Loss  0.870122, Time  0.413185
2021-09-23 04:24:26.640965 : Epoch  6, Batch    418, Loss  0.857978, Average Loss  0.870123, Time  0.413065
2021-09-23 04:24:31.622769 : Epoch  6, Batch    419, Loss  0.859740, Average Loss  0.870056, Time  0.414284
2021-09-23 04:24:36.592011 : Epoch  6, Batch    420, Loss  0.867712, Average Loss  0.870015, Time  0.413912
2021-09-23 04:24:41.536956 : Epoch  6, Batch    421, Loss  0.864140, Average Loss  0.869965, Time  0.413604
2021-09-23 04:24:46.527939 : Epoch  6, Batch    422, Loss  0.869361, Average Loss  0.869964, Time  0.439937
2021-09-23 04:24:51.488020 : Epoch  6, Batch    423, Loss  0.864475, Average Loss  0.869988, Time  0.413513
2021-09-23 04:24:56.437749 : Epoch  6, Batch    424, Loss  0.871412, Average Loss  0.869956, Time  0.413126
2021-09-23 04:25:01.398743 : Epoch  6, Batch    425, Loss  0.869367, Average Loss  0.869954, Time  0.413909
2021-09-23 04:25:06.355857 : Epoch  6, Batch    426, Loss  0.863449, Average Loss  0.869902, Time  0.413248
2021-09-23 04:25:11.316964 : Epoch  6, Batch    427, Loss  0.882659, Average Loss  0.869919, Time  0.413098
2021-09-23 04:25:16.275895 : Epoch  6, Batch    428, Loss  0.882390, Average Loss  0.869994, Time  0.413285
2021-09-23 04:25:21.223821 : Epoch  6, Batch    429, Loss  0.869087, Average Loss  0.869908, Time  0.413284
2021-09-23 04:25:26.185860 : Epoch  6, Batch    430, Loss  0.875580, Average Loss  0.869974, Time  0.413604
2021-09-23 04:25:31.187736 : Epoch  6, Batch    431, Loss  0.868833, Average Loss  0.869991, Time  0.450430
2021-09-23 04:25:36.160913 : Epoch  6, Batch    432, Loss  0.861342, Average Loss  0.869999, Time  0.414449
2021-09-23 04:25:41.116017 : Epoch  6, Batch    433, Loss  0.873234, Average Loss  0.870015, Time  0.413479
2021-09-23 04:25:46.079850 : Epoch  6, Batch    434, Loss  0.869932, Average Loss  0.870002, Time  0.414351
2021-09-23 04:25:51.039721 : Epoch  6, Batch    435, Loss  0.863768, Average Loss  0.869944, Time  0.413877
2021-09-23 04:25:55.998736 : Epoch  6, Batch    436, Loss  0.871656, Average Loss  0.869987, Time  0.413316
2021-09-23 04:26:00.954756 : Epoch  6, Batch    437, Loss  0.872666, Average Loss  0.870019, Time  0.413571
2021-09-23 04:26:05.921835 : Epoch  6, Batch    438, Loss  0.867015, Average Loss  0.870033, Time  0.413038
2021-09-23 04:26:10.875945 : Epoch  6, Batch    439, Loss  0.867826, Average Loss  0.870033, Time  0.413208
2021-09-23 04:26:15.828734 : Epoch  6, Batch    440, Loss  0.860895, Average Loss  0.869999, Time  0.413540
2021-09-23 04:26:20.821738 : Epoch  6, Batch    441, Loss  0.857538, Average Loss  0.869959, Time  0.458863
2021-09-23 04:26:25.773215 : Epoch  6, Batch    442, Loss  0.875901, Average Loss  0.869994, Time  0.413008
2021-09-23 04:26:30.727754 : Epoch  6, Batch    443, Loss  0.861483, Average Loss  0.869976, Time  0.412690
2021-09-23 04:26:35.683011 : Epoch  6, Batch    444, Loss  0.876276, Average Loss  0.870035, Time  0.413316
2021-09-23 04:26:40.643925 : Epoch  6, Batch    445, Loss  0.860194, Average Loss  0.869978, Time  0.414111
2021-09-23 04:26:45.605036 : Epoch  6, Batch    446, Loss  0.879177, Average Loss  0.870013, Time  0.414045
2021-09-23 04:26:50.550945 : Epoch  6, Batch    447, Loss  0.876181, Average Loss  0.870090, Time  0.413302
2021-09-23 04:26:55.522769 : Epoch  6, Batch    448, Loss  0.859706, Average Loss  0.870030, Time  0.418044
2021-09-23 04:27:00.490886 : Epoch  6, Batch    449, Loss  0.880155, Average Loss  0.870099, Time  0.413399
2021-09-23 04:27:05.484922 : Epoch  6, Batch    450, Loss  0.875354, Average Loss  0.870091, Time  0.456744
2021-09-23 04:27:10.427787 : Epoch  6, Batch    451, Loss  0.871700, Average Loss  0.870065, Time  0.413708
2021-09-23 04:27:15.369954 : Epoch  6, Batch    452, Loss  0.869548, Average Loss  0.870058, Time  0.413058
2021-09-23 04:27:20.315829 : Epoch  6, Batch    453, Loss  0.860709, Average Loss  0.870073, Time  0.413280
2021-09-23 04:27:25.262741 : Epoch  6, Batch    454, Loss  0.887350, Average Loss  0.870159, Time  0.413220
2021-09-23 04:27:30.202775 : Epoch  6, Batch    455, Loss  0.850145, Average Loss  0.870009, Time  0.413123
2021-09-23 04:27:35.161155 : Epoch  6, Batch    456, Loss  0.875597, Average Loss  0.870060, Time  0.413535
2021-09-23 04:27:40.123759 : Epoch  6, Batch    457, Loss  0.853950, Average Loss  0.869997, Time  0.414083
2021-09-23 04:27:45.084806 : Epoch  6, Batch    458, Loss  0.867650, Average Loss  0.869950, Time  0.413659
2021-09-23 04:27:50.041169 : Epoch  6, Batch    459, Loss  0.869997, Average Loss  0.869999, Time  0.413844
2021-09-23 04:27:55.174760 : Epoch  6, Batch    460, Loss  0.870489, Average Loss  0.870038, Time  0.461097
2021-09-23 04:31:51.465737 : CheckPoint: Validation Loss  0.00014914, Best Loss  0.00014643
2021-09-23 04:31:56.455308 : Epoch  6, Batch    461, Loss  0.862790, Average Loss  0.870004, Time  0.429012
2021-09-23 04:32:01.437741 : Epoch  6, Batch    462, Loss  0.877564, Average Loss  0.870029, Time  0.414028
2021-09-23 04:32:06.409130 : Epoch  6, Batch    463, Loss  0.877299, Average Loss  0.870061, Time  0.412823
2021-09-23 04:32:11.375798 : Epoch  6, Batch    464, Loss  0.872890, Average Loss  0.870103, Time  0.412920
2021-09-23 04:32:16.333955 : Epoch  6, Batch    465, Loss  0.880427, Average Loss  0.870086, Time  0.413490
2021-09-23 04:32:21.300725 : Epoch  6, Batch    466, Loss  0.864892, Average Loss  0.870196, Time  0.415434
2021-09-23 04:32:26.247955 : Epoch  6, Batch    467, Loss  0.867581, Average Loss  0.870178, Time  0.413066
2021-09-23 04:32:31.197852 : Epoch  6, Batch    468, Loss  0.879314, Average Loss  0.870182, Time  0.414142
2021-09-23 04:32:36.198440 : Epoch  6, Batch    469, Loss  0.881363, Average Loss  0.870221, Time  0.457634
2021-09-23 04:32:41.164844 : Epoch  6, Batch    470, Loss  0.867231, Average Loss  0.870208, Time  0.413310
2021-09-23 04:32:46.120783 : Epoch  6, Batch    471, Loss  0.873462, Average Loss  0.870203, Time  0.413024
2021-09-23 04:32:51.101047 : Epoch  6, Batch    472, Loss  0.889553, Average Loss  0.870295, Time  0.416173
2021-09-23 04:32:56.050722 : Epoch  6, Batch    473, Loss  0.860366, Average Loss  0.870292, Time  0.415801
2021-09-23 04:33:01.019725 : Epoch  6, Batch    474, Loss  0.864067, Average Loss  0.870256, Time  0.413162
2021-09-23 04:33:05.959879 : Epoch  6, Batch    475, Loss  0.890413, Average Loss  0.870413, Time  0.412840
2021-09-23 04:33:10.902174 : Epoch  6, Batch    476, Loss  0.862488, Average Loss  0.870352, Time  0.413604
2021-09-23 04:33:15.858837 : Epoch  6, Batch    477, Loss  0.883454, Average Loss  0.870414, Time  0.413512
2021-09-23 04:33:20.806196 : Epoch  6, Batch    478, Loss  0.862415, Average Loss  0.870351, Time  0.412855
2021-09-23 04:33:25.798199 : Epoch  6, Batch    479, Loss  0.875738, Average Loss  0.870411, Time  0.449541
2021-09-23 04:33:30.762942 : Epoch  6, Batch    480, Loss  0.876325, Average Loss  0.870372, Time  0.413261
2021-09-23 04:33:35.700761 : Epoch  6, Batch    481, Loss  0.856510, Average Loss  0.870323, Time  0.414899
2021-09-23 04:33:40.644613 : Epoch  6, Batch    482, Loss  0.873139, Average Loss  0.870349, Time  0.413939
2021-09-23 04:33:45.581719 : Epoch  6, Batch    483, Loss  0.865407, Average Loss  0.870369, Time  0.417427
2021-09-23 04:33:50.527175 : Epoch  6, Batch    484, Loss  0.868332, Average Loss  0.870394, Time  0.414678
2021-09-23 04:33:55.484693 : Epoch  6, Batch    485, Loss  0.874448, Average Loss  0.870427, Time  0.413207
2021-09-23 04:34:00.433974 : Epoch  6, Batch    486, Loss  0.873628, Average Loss  0.870380, Time  0.412927
2021-09-23 04:34:05.379326 : Epoch  6, Batch    487, Loss  0.868301, Average Loss  0.870361, Time  0.413188
2021-09-23 04:34:10.336275 : Epoch  6, Batch    488, Loss  0.879887, Average Loss  0.870458, Time  0.428163
2021-09-23 04:34:15.278984 : Epoch  6, Batch    489, Loss  0.864638, Average Loss  0.870478, Time  0.415936
2021-09-23 04:34:20.226326 : Epoch  6, Batch    490, Loss  0.874458, Average Loss  0.870422, Time  0.413230
2021-09-23 04:34:25.185207 : Epoch  6, Batch    491, Loss  0.868593, Average Loss  0.870389, Time  0.413438
2021-09-23 04:34:30.119000 : Epoch  6, Batch    492, Loss  0.858268, Average Loss  0.870369, Time  0.413579
2021-09-23 04:34:35.083320 : Epoch  6, Batch    493, Loss  0.863320, Average Loss  0.870328, Time  0.412875
2021-09-23 04:34:40.029132 : Epoch  6, Batch    494, Loss  0.869932, Average Loss  0.870394, Time  0.414049
2021-09-23 04:34:44.971851 : Epoch  6, Batch    495, Loss  0.870078, Average Loss  0.870404, Time  0.415097
2021-09-23 04:34:49.946987 : Epoch  6, Batch    496, Loss  0.878493, Average Loss  0.870438, Time  0.413548
2021-09-23 04:34:54.891127 : Epoch  6, Batch    497, Loss  0.862455, Average Loss  0.870348, Time  0.413621
2021-09-23 04:34:59.862598 : Epoch  6, Batch    498, Loss  0.871221, Average Loss  0.870297, Time  0.440229
2021-09-23 04:35:04.856777 : Epoch  6, Batch    499, Loss  0.874610, Average Loss  0.870291, Time  0.413554
2021-09-23 04:35:09.810834 : Epoch  6, Batch    500, Loss  0.862647, Average Loss  0.870255, Time  0.413243
2021-09-23 04:35:14.750780 : Epoch  6, Batch    501, Loss  0.847507, Average Loss  0.870186, Time  0.413234
2021-09-23 04:35:19.755836 : Epoch  6, Batch    502, Loss  0.888414, Average Loss  0.870239, Time  0.413851
2021-09-23 04:35:24.705964 : Epoch  6, Batch    503, Loss  0.863879, Average Loss  0.870213, Time  0.414158
2021-09-23 04:35:29.654767 : Epoch  6, Batch    504, Loss  0.849659, Average Loss  0.870108, Time  0.413330
2021-09-23 04:35:34.628701 : Epoch  6, Batch    505, Loss  0.861211, Average Loss  0.870065, Time  0.413340
2021-09-23 04:35:39.597748 : Epoch  6, Batch    506, Loss  0.867862, Average Loss  0.869978, Time  0.416860
2021-09-23 04:35:44.598394 : Epoch  6, Batch    507, Loss  0.867660, Average Loss  0.869947, Time  0.465859
2021-09-23 04:35:49.550947 : Epoch  6, Batch    508, Loss  0.876945, Average Loss  0.869994, Time  0.416159
2021-09-23 04:35:54.510934 : Epoch  6, Batch    509, Loss  0.878484, Average Loss  0.870021, Time  0.415255
2021-09-23 04:35:59.465875 : Epoch  6, Batch    510, Loss  0.892273, Average Loss  0.870093, Time  0.413356
2021-09-23 04:36:04.415506 : Epoch  6, Batch    511, Loss  0.850955, Average Loss  0.869924, Time  0.412721
2021-09-23 04:36:09.367783 : Epoch  6, Batch    512, Loss  0.873893, Average Loss  0.869997, Time  0.413583
2021-09-23 04:36:14.327481 : Epoch  6, Batch    513, Loss  0.863348, Average Loss  0.869971, Time  0.413250
2021-09-23 04:36:19.283974 : Epoch  6, Batch    514, Loss  0.872115, Average Loss  0.870022, Time  0.433015
2021-09-23 04:36:24.232750 : Epoch  6, Batch    515, Loss  0.875255, Average Loss  0.870089, Time  0.412750
2021-09-23 04:36:29.214977 : Epoch  6, Batch    516, Loss  0.857733, Average Loss  0.869972, Time  0.449539
2021-09-23 04:36:34.157444 : Epoch  6, Batch    517, Loss  0.867936, Average Loss  0.869957, Time  0.413213
2021-09-23 04:36:39.136112 : Epoch  6, Batch    518, Loss  0.879357, Average Loss  0.870029, Time  0.413249
2021-09-23 04:36:44.088593 : Epoch  6, Batch    519, Loss  0.855048, Average Loss  0.869882, Time  0.414178
2021-09-23 04:36:49.052105 : Epoch  6, Batch    520, Loss  0.865721, Average Loss  0.869937, Time  0.414092
2021-09-23 04:36:54.002755 : Epoch  6, Batch    521, Loss  0.879858, Average Loss  0.870014, Time  0.413254
2021-09-23 04:36:58.967832 : Epoch  6, Batch    522, Loss  0.879698, Average Loss  0.870109, Time  0.416027
2021-09-23 04:37:03.921937 : Epoch  6, Batch    523, Loss  0.872086, Average Loss  0.870146, Time  0.413043
2021-09-23 04:37:08.866720 : Epoch  6, Batch    524, Loss  0.858242, Average Loss  0.870139, Time  0.413115
2021-09-23 04:37:13.821007 : Epoch  6, Batch    525, Loss  0.870952, Average Loss  0.870151, Time  0.413737
2021-09-23 04:37:18.818712 : Epoch  6, Batch    526, Loss  0.880032, Average Loss  0.870158, Time  0.466733
2021-09-23 04:37:23.782972 : Epoch  6, Batch    527, Loss  0.874080, Average Loss  0.870177, Time  0.420151
2021-09-23 04:37:28.728305 : Epoch  6, Batch    528, Loss  0.880913, Average Loss  0.870242, Time  0.414340
2021-09-23 04:37:33.730740 : Epoch  6, Batch    529, Loss  0.860272, Average Loss  0.870169, Time  0.413293
2021-09-23 04:37:38.696807 : Epoch  6, Batch    530, Loss  0.872751, Average Loss  0.870213, Time  0.412814
2021-09-23 04:37:43.668726 : Epoch  6, Batch    531, Loss  0.878734, Average Loss  0.870271, Time  0.414751
2021-09-23 04:37:48.625741 : Epoch  6, Batch    532, Loss  0.871310, Average Loss  0.870313, Time  0.413709
2021-09-23 04:37:53.589062 : Epoch  6, Batch    533, Loss  0.857666, Average Loss  0.870187, Time  0.414548
2021-09-23 04:37:58.540160 : Epoch  6, Batch    534, Loss  0.875392, Average Loss  0.870159, Time  0.412898
2021-09-23 04:38:03.555161 : Epoch  6, Batch    535, Loss  0.876307, Average Loss  0.870104, Time  0.462054
2021-09-23 04:38:08.493761 : Epoch  6, Batch    536, Loss  0.880248, Average Loss  0.870216, Time  0.412997
2021-09-23 04:38:13.439710 : Epoch  6, Batch    537, Loss  0.874157, Average Loss  0.870176, Time  0.414243
2021-09-23 04:38:18.392804 : Epoch  6, Batch    538, Loss  0.864821, Average Loss  0.870168, Time  0.414140
2021-09-23 04:38:23.340763 : Epoch  6, Batch    539, Loss  0.874364, Average Loss  0.870243, Time  0.413252
2021-09-23 04:38:28.290957 : Epoch  6, Batch    540, Loss  0.858562, Average Loss  0.870183, Time  0.423145
2021-09-23 04:38:33.241129 : Epoch  6, Batch    541, Loss  0.874911, Average Loss  0.870219, Time  0.413336
2021-09-23 04:38:38.193252 : Epoch  6, Batch    542, Loss  0.868994, Average Loss  0.870192, Time  0.413439
2021-09-23 04:38:43.143700 : Epoch  6, Batch    543, Loss  0.885302, Average Loss  0.870257, Time  0.413420
2021-09-23 04:38:48.124748 : Epoch  6, Batch    544, Loss  0.867767, Average Loss  0.870365, Time  0.414494
2021-09-23 04:38:53.166979 : Epoch  6, Batch    545, Loss  0.861563, Average Loss  0.870327, Time  0.450958
2021-09-23 04:38:58.113834 : Epoch  6, Batch    546, Loss  0.870211, Average Loss  0.870324, Time  0.413556
2021-09-23 04:39:03.068777 : Epoch  6, Batch    547, Loss  0.872999, Average Loss  0.870364, Time  0.413859
2021-09-23 04:39:08.035831 : Epoch  6, Batch    548, Loss  0.880469, Average Loss  0.870434, Time  0.413301
2021-09-23 04:39:12.993027 : Epoch  6, Batch    549, Loss  0.860077, Average Loss  0.870330, Time  0.413169
2021-09-23 04:39:17.941976 : Epoch  6, Batch    550, Loss  0.880896, Average Loss  0.870346, Time  0.414418
2021-09-23 04:39:22.884759 : Epoch  6, Batch    551, Loss  0.875258, Average Loss  0.870309, Time  0.413018
2021-09-23 04:39:27.836013 : Epoch  6, Batch    552, Loss  0.864606, Average Loss  0.870317, Time  0.413276
2021-09-23 04:39:32.855746 : Epoch  6, Batch    553, Loss  0.860219, Average Loss  0.870264, Time  0.412912
2021-09-23 04:39:37.809934 : Epoch  6, Batch    554, Loss  0.865146, Average Loss  0.870333, Time  0.413131
2021-09-23 04:39:42.808728 : Epoch  6, Batch    555, Loss  0.875423, Average Loss  0.870342, Time  0.462753
2021-09-23 04:39:47.759105 : Epoch  6, Batch    556, Loss  0.875316, Average Loss  0.870304, Time  0.412846
2021-09-23 04:39:52.699746 : Epoch  6, Batch    557, Loss  0.868428, Average Loss  0.870347, Time  0.414250
2021-09-23 04:39:57.645139 : Epoch  6, Batch    558, Loss  0.865161, Average Loss  0.870249, Time  0.414157
2021-09-23 04:40:02.598884 : Epoch  6, Batch    559, Loss  0.876776, Average Loss  0.870282, Time  0.413939
2021-09-23 04:40:07.556985 : Epoch  6, Batch    560, Loss  0.849150, Average Loss  0.870199, Time  0.414455
2021-09-23 04:44:03.832740 : CheckPoint: Validation Loss  0.00015241, Best Loss  0.00014643
2021-09-23 04:44:08.786127 : Epoch  6, Batch    561, Loss  0.875071, Average Loss  0.870261, Time  0.415134
2021-09-23 04:44:13.746083 : Epoch  6, Batch    562, Loss  0.887397, Average Loss  0.870369, Time  0.413209
2021-09-23 04:44:18.722717 : Epoch  6, Batch    563, Loss  0.880048, Average Loss  0.870455, Time  0.414115
2021-09-23 04:44:23.716198 : Epoch  6, Batch    564, Loss  0.850704, Average Loss  0.870369, Time  0.438307
2021-09-23 04:44:28.700842 : Epoch  6, Batch    565, Loss  0.877686, Average Loss  0.870469, Time  0.413581
2021-09-23 04:44:33.651731 : Epoch  6, Batch    566, Loss  0.873085, Average Loss  0.870427, Time  0.413014
2021-09-23 04:44:38.629383 : Epoch  6, Batch    567, Loss  0.856017, Average Loss  0.870291, Time  0.413528
2021-09-23 04:44:43.576979 : Epoch  6, Batch    568, Loss  0.877528, Average Loss  0.870305, Time  0.414515
2021-09-23 04:44:48.541788 : Epoch  6, Batch    569, Loss  0.850699, Average Loss  0.870181, Time  0.414549
2021-09-23 04:44:53.502054 : Epoch  6, Batch    570, Loss  0.878858, Average Loss  0.870148, Time  0.413556
2021-09-23 04:44:58.473777 : Epoch  6, Batch    571, Loss  0.876867, Average Loss  0.870145, Time  0.414188
2021-09-23 04:45:03.446849 : Epoch  6, Batch    572, Loss  0.871535, Average Loss  0.870147, Time  0.414618
2021-09-23 04:45:08.455729 : Epoch  6, Batch    573, Loss  0.874444, Average Loss  0.870114, Time  0.463573
2021-09-23 04:45:13.414059 : Epoch  6, Batch    574, Loss  0.869286, Average Loss  0.870074, Time  0.414474
2021-09-23 04:45:18.377734 : Epoch  6, Batch    575, Loss  0.883495, Average Loss  0.870155, Time  0.413495
2021-09-23 04:45:23.325887 : Epoch  6, Batch    576, Loss  0.874367, Average Loss  0.870161, Time  0.413515
2021-09-23 04:45:28.267587 : Epoch  6, Batch    577, Loss  0.858892, Average Loss  0.870125, Time  0.414541
2021-09-23 04:45:33.223000 : Epoch  6, Batch    578, Loss  0.886686, Average Loss  0.870223, Time  0.413419
2021-09-23 04:45:38.181964 : Epoch  6, Batch    579, Loss  0.882647, Average Loss  0.870352, Time  0.413465
2021-09-23 04:45:43.162060 : Epoch  6, Batch    580, Loss  0.871964, Average Loss  0.870237, Time  0.414176
2021-09-23 04:45:48.113756 : Epoch  6, Batch    581, Loss  0.871827, Average Loss  0.870186, Time  0.413199
2021-09-23 04:45:53.071808 : Epoch  6, Batch    582, Loss  0.878553, Average Loss  0.870273, Time  0.413959
2021-09-23 04:45:58.077955 : Epoch  6, Batch    583, Loss  0.890877, Average Loss  0.870322, Time  0.457384
2021-09-23 04:46:03.028328 : Epoch  6, Batch    584, Loss  0.859140, Average Loss  0.870235, Time  0.413848
2021-09-23 04:46:07.993930 : Epoch  6, Batch    585, Loss  0.862491, Average Loss  0.870226, Time  0.413012
2021-09-23 04:46:12.944850 : Epoch  6, Batch    586, Loss  0.866865, Average Loss  0.870214, Time  0.413383
2021-09-23 04:46:17.903707 : Epoch  6, Batch    587, Loss  0.875536, Average Loss  0.870258, Time  0.413253
2021-09-23 04:46:22.864982 : Epoch  6, Batch    588, Loss  0.870118, Average Loss  0.870310, Time  0.413444
2021-09-23 04:46:27.816979 : Epoch  6, Batch    589, Loss  0.866330, Average Loss  0.870303, Time  0.413654
2021-09-23 04:46:32.773039 : Epoch  6, Batch    590, Loss  0.860431, Average Loss  0.870183, Time  0.412960
2021-09-23 04:46:37.752156 : Epoch  6, Batch    591, Loss  0.862668, Average Loss  0.870206, Time  0.423378
2021-09-23 04:46:42.746759 : Epoch  6, Batch    592, Loss  0.870004, Average Loss  0.870251, Time  0.457897
2021-09-23 04:46:47.718955 : Epoch  6, Batch    593, Loss  0.880922, Average Loss  0.870287, Time  0.414580
2021-09-23 04:46:52.671799 : Epoch  6, Batch    594, Loss  0.874313, Average Loss  0.870274, Time  0.415271
2021-09-23 04:46:57.631760 : Epoch  6, Batch    595, Loss  0.872094, Average Loss  0.870296, Time  0.413895
2021-09-23 04:47:02.596795 : Epoch  6, Batch    596, Loss  0.864959, Average Loss  0.870248, Time  0.416392
2021-09-23 04:47:07.555760 : Epoch  6, Batch    597, Loss  0.880958, Average Loss  0.870277, Time  0.413652
2021-09-23 04:47:12.505780 : Epoch  6, Batch    598, Loss  0.864756, Average Loss  0.870286, Time  0.413305
2021-09-23 04:47:17.515784 : Epoch  6, Batch    599, Loss  0.883194, Average Loss  0.870362, Time  0.413462
2021-09-23 04:47:22.491979 : Epoch  6, Batch    600, Loss  0.862891, Average Loss  0.870301, Time  0.413483
2021-09-23 04:47:27.564756 : Epoch  6, Batch    601, Loss  0.871027, Average Loss  0.870340, Time  0.463136
2021-09-23 04:47:32.534132 : Epoch  6, Batch    602, Loss  0.875866, Average Loss  0.870394, Time  0.419299
2021-09-23 04:47:37.490950 : Epoch  6, Batch    603, Loss  0.885077, Average Loss  0.870542, Time  0.413308
2021-09-23 04:47:42.459953 : Epoch  6, Batch    604, Loss  0.870671, Average Loss  0.870536, Time  0.413563
2021-09-23 04:47:47.425780 : Epoch  6, Batch    605, Loss  0.868540, Average Loss  0.870479, Time  0.413172
2021-09-23 04:47:52.399776 : Epoch  6, Batch    606, Loss  0.877855, Average Loss  0.870505, Time  0.414510
2021-09-23 04:47:57.364989 : Epoch  6, Batch    607, Loss  0.869474, Average Loss  0.870488, Time  0.414501
2021-09-23 04:48:02.329110 : Epoch  6, Batch    608, Loss  0.864561, Average Loss  0.870397, Time  0.413734
2021-09-23 04:48:07.308763 : Epoch  6, Batch    609, Loss  0.884113, Average Loss  0.870534, Time  0.414907
2021-09-23 04:48:12.314754 : Epoch  6, Batch    610, Loss  0.872417, Average Loss  0.870570, Time  0.450329
2021-09-23 04:48:17.283741 : Epoch  6, Batch    611, Loss  0.873446, Average Loss  0.870601, Time  0.413123
2021-09-23 04:48:22.239258 : Epoch  6, Batch    612, Loss  0.872801, Average Loss  0.870657, Time  0.413422
2021-09-23 04:48:27.199962 : Epoch  6, Batch    613, Loss  0.876576, Average Loss  0.870649, Time  0.413694
2021-09-23 04:48:32.166774 : Epoch  6, Batch    614, Loss  0.854461, Average Loss  0.870516, Time  0.415172
2021-09-23 04:48:37.133021 : Epoch  6, Batch    615, Loss  0.862427, Average Loss  0.870412, Time  0.413326
2021-09-23 04:48:42.093195 : Epoch  6, Batch    616, Loss  0.861926, Average Loss  0.870365, Time  0.413080
2021-09-23 04:48:47.056916 : Epoch  6, Batch    617, Loss  0.870141, Average Loss  0.870418, Time  0.413694
2021-09-23 04:48:52.043136 : Epoch  6, Batch    618, Loss  0.865239, Average Loss  0.870454, Time  0.414550
2021-09-23 04:48:57.019999 : Epoch  6, Batch    619, Loss  0.881520, Average Loss  0.870563, Time  0.423741
2021-09-23 04:49:02.031580 : Epoch  6, Batch    620, Loss  0.873535, Average Loss  0.870592, Time  0.451159
2021-09-23 04:49:06.994010 : Epoch  6, Batch    621, Loss  0.880422, Average Loss  0.870674, Time  0.413378
2021-09-23 04:49:11.963731 : Epoch  6, Batch    622, Loss  0.878323, Average Loss  0.870718, Time  0.414200
2021-09-23 04:49:16.926743 : Epoch  6, Batch    623, Loss  0.857272, Average Loss  0.870682, Time  0.412777
2021-09-23 04:49:21.886947 : Epoch  6, Batch    624, Loss  0.873993, Average Loss  0.870695, Time  0.413242
2021-09-23 04:49:26.845003 : Epoch  6, Batch    625, Loss  0.873297, Average Loss  0.870715, Time  0.413359
2021-09-23 04:49:31.803966 : Epoch  6, Batch    626, Loss  0.874670, Average Loss  0.870771, Time  0.413781
2021-09-23 04:49:36.762804 : Epoch  6, Batch    627, Loss  0.873523, Average Loss  0.870725, Time  0.413340
2021-09-23 04:49:41.712015 : Epoch  6, Batch    628, Loss  0.861949, Average Loss  0.870623, Time  0.413121
2021-09-23 04:49:46.707978 : Epoch  6, Batch    629, Loss  0.870401, Average Loss  0.870630, Time  0.455580
2021-09-23 04:49:51.677988 : Epoch  6, Batch    630, Loss  0.877148, Average Loss  0.870638, Time  0.413374
2021-09-23 04:49:56.657993 : Epoch  6, Batch    631, Loss  0.867482, Average Loss  0.870631, Time  0.415732
2021-09-23 04:50:01.632304 : Epoch  6, Batch    632, Loss  0.851532, Average Loss  0.870582, Time  0.414347
2021-09-23 04:50:06.602970 : Epoch  6, Batch    633, Loss  0.878267, Average Loss  0.870607, Time  0.413613
2021-09-23 04:50:11.569001 : Epoch  6, Batch    634, Loss  0.876266, Average Loss  0.870639, Time  0.413408
2021-09-23 04:50:16.542644 : Epoch  6, Batch    635, Loss  0.872486, Average Loss  0.870682, Time  0.414660
2021-09-23 04:50:21.529366 : Epoch  6, Batch    636, Loss  0.876668, Average Loss  0.870707, Time  0.413579
2021-09-23 04:50:26.485983 : Epoch  6, Batch    637, Loss  0.849840, Average Loss  0.870593, Time  0.413206
2021-09-23 04:50:31.500151 : Epoch  6, Batch    638, Loss  0.855067, Average Loss  0.870533, Time  0.461609
2021-09-23 04:50:36.462976 : Epoch  6, Batch    639, Loss  0.866207, Average Loss  0.870525, Time  0.413389
2021-09-23 04:50:41.433863 : Epoch  6, Batch    640, Loss  0.878578, Average Loss  0.870614, Time  0.413653
2021-09-23 04:50:46.390730 : Epoch  6, Batch    641, Loss  0.869843, Average Loss  0.870675, Time  0.413324
2021-09-23 04:50:51.360744 : Epoch  6, Batch    642, Loss  0.877668, Average Loss  0.870684, Time  0.413558
2021-09-23 04:50:56.329951 : Epoch  6, Batch    643, Loss  0.865501, Average Loss  0.870704, Time  0.413640
2021-09-23 04:51:01.321046 : Epoch  6, Batch    644, Loss  0.866571, Average Loss  0.870656, Time  0.414146
2021-09-23 04:51:06.281367 : Epoch  6, Batch    645, Loss  0.877542, Average Loss  0.870742, Time  0.414940
2021-09-23 04:51:11.241052 : Epoch  6, Batch    646, Loss  0.884329, Average Loss  0.870768, Time  0.413772
2021-09-23 04:51:16.259835 : Epoch  6, Batch    647, Loss  0.870350, Average Loss  0.870739, Time  0.458902
2021-09-23 04:51:21.233088 : Epoch  6, Batch    648, Loss  0.865194, Average Loss  0.870766, Time  0.413841
2021-09-23 04:51:26.195844 : Epoch  6, Batch    649, Loss  0.880730, Average Loss  0.870769, Time  0.413829
2021-09-23 04:51:31.157026 : Epoch  6, Batch    650, Loss  0.875628, Average Loss  0.870771, Time  0.413349
2021-09-23 04:51:36.111136 : Epoch  6, Batch    651, Loss  0.882855, Average Loss  0.870826, Time  0.413278
2021-09-23 04:51:41.066726 : Epoch  6, Batch    652, Loss  0.875278, Average Loss  0.870855, Time  0.413499
2021-09-23 04:51:46.027738 : Epoch  6, Batch    653, Loss  0.853474, Average Loss  0.870819, Time  0.413641
2021-09-23 04:51:50.997966 : Epoch  6, Batch    654, Loss  0.863729, Average Loss  0.870701, Time  0.413325
2021-09-23 04:51:55.970762 : Epoch  6, Batch    655, Loss  0.877180, Average Loss  0.870836, Time  0.413114
2021-09-23 04:52:00.948220 : Epoch  6, Batch    656, Loss  0.864589, Average Loss  0.870781, Time  0.414702
2021-09-23 04:52:05.964738 : Epoch  6, Batch    657, Loss  0.848543, Average Loss  0.870754, Time  0.452181
2021-09-23 04:52:10.918230 : Epoch  6, Batch    658, Loss  0.878725, Average Loss  0.870809, Time  0.414512
2021-09-23 04:52:15.937002 : Epoch  6, Batch    659, Loss  0.864079, Average Loss  0.870780, Time  0.413744
2021-09-23 04:52:20.912394 : Epoch  6, Batch    660, Loss  0.870109, Average Loss  0.870778, Time  0.414221
2021-09-23 04:56:18.268751 : CheckPoint: Validation Loss  0.00014769, Best Loss  0.00014643
2021-09-23 04:56:23.251942 : Epoch  6, Batch    661, Loss  0.876533, Average Loss  0.870846, Time  0.414945
2021-09-23 04:56:28.221762 : Epoch  6, Batch    662, Loss  0.870696, Average Loss  0.870812, Time  0.413220
2021-09-23 04:56:33.188864 : Epoch  6, Batch    663, Loss  0.851629, Average Loss  0.870684, Time  0.413613
2021-09-23 04:56:38.171997 : Epoch  6, Batch    664, Loss  0.861266, Average Loss  0.870626, Time  0.413552
2021-09-23 04:56:43.143736 : Epoch  6, Batch    665, Loss  0.855267, Average Loss  0.870500, Time  0.413466
2021-09-23 04:56:48.173071 : Epoch  6, Batch    666, Loss  0.866835, Average Loss  0.870510, Time  0.458816
2021-09-23 04:56:53.152748 : Epoch  6, Batch    667, Loss  0.875742, Average Loss  0.870550, Time  0.414005
2021-09-23 04:56:58.137995 : Epoch  6, Batch    668, Loss  0.873838, Average Loss  0.870523, Time  0.414534
2021-09-23 04:57:03.131156 : Epoch  6, Batch    669, Loss  0.867749, Average Loss  0.870455, Time  0.414024
2021-09-23 04:57:08.101069 : Epoch  6, Batch    670, Loss  0.857184, Average Loss  0.870405, Time  0.413782
2021-09-23 04:57:13.082754 : Epoch  6, Batch    671, Loss  0.880944, Average Loss  0.870442, Time  0.415429
2021-09-23 04:57:18.126804 : Epoch  6, Batch    672, Loss  0.861621, Average Loss  0.870302, Time  0.413667
2021-09-23 04:57:23.105744 : Epoch  6, Batch    673, Loss  0.866123, Average Loss  0.870331, Time  0.413609
2021-09-23 04:57:28.091032 : Epoch  6, Batch    674, Loss  0.873758, Average Loss  0.870380, Time  0.413570
2021-09-23 04:57:33.125787 : Epoch  6, Batch    675, Loss  0.861966, Average Loss  0.870237, Time  0.477662
2021-09-23 04:57:38.108047 : Epoch  6, Batch    676, Loss  0.870369, Average Loss  0.870277, Time  0.419795
2021-09-23 04:57:43.078957 : Epoch  6, Batch    677, Loss  0.859965, Average Loss  0.870159, Time  0.413233
2021-09-23 04:57:48.079216 : Epoch  6, Batch    678, Loss  0.855770, Average Loss  0.870126, Time  0.414186
2021-09-23 04:57:53.047878 : Epoch  6, Batch    679, Loss  0.885582, Average Loss  0.870175, Time  0.413334
2021-09-23 04:57:58.033062 : Epoch  6, Batch    680, Loss  0.872479, Average Loss  0.870156, Time  0.413934
2021-09-23 04:58:03.007889 : Epoch  6, Batch    681, Loss  0.867903, Average Loss  0.870213, Time  0.414707
2021-09-23 04:58:08.008243 : Epoch  6, Batch    682, Loss  0.872222, Average Loss  0.870209, Time  0.414782
2021-09-23 04:58:12.985798 : Epoch  6, Batch    683, Loss  0.861034, Average Loss  0.870187, Time  0.414190
2021-09-23 04:58:18.014981 : Epoch  6, Batch    684, Loss  0.863461, Average Loss  0.870162, Time  0.458522
2021-09-23 04:58:22.987087 : Epoch  6, Batch    685, Loss  0.888384, Average Loss  0.870232, Time  0.413415
2021-09-23 04:58:28.008128 : Epoch  6, Batch    686, Loss  0.880018, Average Loss  0.870264, Time  0.413459
2021-09-23 04:58:32.971958 : Epoch  6, Batch    687, Loss  0.862924, Average Loss  0.870237, Time  0.413165
2021-09-23 04:58:37.932020 : Epoch  6, Batch    688, Loss  0.869427, Average Loss  0.870185, Time  0.413243
2021-09-23 04:58:42.901992 : Epoch  6, Batch    689, Loss  0.864973, Average Loss  0.870186, Time  0.413915
2021-09-23 04:58:47.857997 : Epoch  6, Batch    690, Loss  0.866759, Average Loss  0.870148, Time  0.413386
2021-09-23 04:58:52.825954 : Epoch  6, Batch    691, Loss  0.862751, Average Loss  0.870119, Time  0.413451
2021-09-23 04:58:57.794832 : Epoch  6, Batch    692, Loss  0.876429, Average Loss  0.870210, Time  0.413313
2021-09-23 04:59:02.820062 : Epoch  6, Batch    693, Loss  0.864115, Average Loss  0.870214, Time  0.463586
2021-09-23 04:59:07.867547 : Epoch  6, Batch    694, Loss  0.883589, Average Loss  0.870282, Time  0.415104
2021-09-23 04:59:12.845752 : Epoch  6, Batch    695, Loss  0.874361, Average Loss  0.870303, Time  0.414079
2021-09-23 04:59:17.832105 : Epoch  6, Batch    696, Loss  0.864351, Average Loss  0.870233, Time  0.414897
2021-09-23 04:59:22.819023 : Epoch  6, Batch    697, Loss  0.857545, Average Loss  0.870208, Time  0.413521
2021-09-23 04:59:27.801034 : Epoch  6, Batch    698, Loss  0.868342, Average Loss  0.870194, Time  0.423161
2021-09-23 04:59:32.776768 : Epoch  6, Batch    699, Loss  0.855731, Average Loss  0.870099, Time  0.413441
2021-09-23 04:59:37.758559 : Epoch  6, Batch    700, Loss  0.861848, Average Loss  0.870095, Time  0.413806
2021-09-23 04:59:42.743999 : Epoch  6, Batch    701, Loss  0.861619, Average Loss  0.870166, Time  0.413199
2021-09-23 04:59:47.742767 : Epoch  6, Batch    702, Loss  0.858699, Average Loss  0.870017, Time  0.450008
2021-09-23 04:59:52.705092 : Epoch  6, Batch    703, Loss  0.866975, Average Loss  0.870033, Time  0.413671
2021-09-23 04:59:57.677084 : Epoch  6, Batch    704, Loss  0.863189, Average Loss  0.870100, Time  0.413587
2021-09-23 05:00:02.670002 : Epoch  6, Batch    705, Loss  0.862966, Average Loss  0.870109, Time  0.415774
2021-09-23 05:00:07.658056 : Epoch  6, Batch    706, Loss  0.877347, Average Loss  0.870157, Time  0.413650
2021-09-23 05:00:12.630862 : Epoch  6, Batch    707, Loss  0.873107, Average Loss  0.870184, Time  0.414544
2021-09-23 05:00:17.595280 : Epoch  6, Batch    708, Loss  0.866792, Average Loss  0.870133, Time  0.413756
2021-09-23 05:00:22.570135 : Epoch  6, Batch    709, Loss  0.864077, Average Loss  0.870061, Time  0.414389
2021-09-23 05:00:27.591913 : Epoch  6, Batch    710, Loss  0.860247, Average Loss  0.869901, Time  0.431849
2021-09-23 05:00:32.601772 : Epoch  6, Batch    711, Loss  0.858794, Average Loss  0.869940, Time  0.451540
2021-09-23 05:00:37.591939 : Epoch  6, Batch    712, Loss  0.869619, Average Loss  0.869919, Time  0.413707
2021-09-23 05:00:42.574946 : Epoch  6, Batch    713, Loss  0.866204, Average Loss  0.869933, Time  0.413576
2021-09-23 05:00:47.549016 : Epoch  6, Batch    714, Loss  0.872001, Average Loss  0.869932, Time  0.413445
2021-09-23 05:00:52.519780 : Epoch  6, Batch    715, Loss  0.861814, Average Loss  0.869865, Time  0.414309
2021-09-23 05:00:57.498164 : Epoch  6, Batch    716, Loss  0.878627, Average Loss  0.869970, Time  0.413938
2021-09-23 05:01:02.459803 : Epoch  6, Batch    717, Loss  0.866233, Average Loss  0.869961, Time  0.413719
2021-09-23 05:01:07.446742 : Epoch  6, Batch    718, Loss  0.869093, Average Loss  0.869910, Time  0.414714
2021-09-23 05:01:12.432023 : Epoch  6, Batch    719, Loss  0.867849, Average Loss  0.869974, Time  0.414272
2021-09-23 05:01:17.442804 : Epoch  6, Batch    720, Loss  0.867374, Average Loss  0.869982, Time  0.456020
2021-09-23 05:01:22.408752 : Epoch  6, Batch    721, Loss  0.871006, Average Loss  0.869938, Time  0.413938
2021-09-23 05:01:27.394756 : Epoch  6, Batch    722, Loss  0.856848, Average Loss  0.869824, Time  0.414169
2021-09-23 05:01:32.385010 : Epoch  6, Batch    723, Loss  0.884283, Average Loss  0.869885, Time  0.413716
2021-09-23 05:01:37.361904 : Epoch  6, Batch    724, Loss  0.868597, Average Loss  0.869936, Time  0.414202
2021-09-23 05:01:42.348774 : Epoch  6, Batch    725, Loss  0.860764, Average Loss  0.869885, Time  0.413710
2021-09-23 05:01:47.326989 : Epoch  6, Batch    726, Loss  0.883752, Average Loss  0.869904, Time  0.414092
2021-09-23 05:01:52.363047 : Epoch  6, Batch    727, Loss  0.869512, Average Loss  0.869881, Time  0.413639
2021-09-23 05:01:57.332824 : Epoch  6, Batch    728, Loss  0.863126, Average Loss  0.869792, Time  0.416321
2021-09-23 05:02:02.305955 : Epoch  6, Batch    729, Loss  0.863198, Average Loss  0.869807, Time  0.413762
2021-09-23 05:02:07.325908 : Epoch  6, Batch    730, Loss  0.855054, Average Loss  0.869718, Time  0.456855
2021-09-23 05:02:12.311020 : Epoch  6, Batch    731, Loss  0.863934, Average Loss  0.869644, Time  0.415052
2021-09-23 05:02:17.276929 : Epoch  6, Batch    732, Loss  0.867902, Average Loss  0.869627, Time  0.413990
2021-09-23 05:02:22.242131 : Epoch  6, Batch    733, Loss  0.870762, Average Loss  0.869693, Time  0.414257
2021-09-23 05:02:27.222906 : Epoch  6, Batch    734, Loss  0.873019, Average Loss  0.869681, Time  0.413872
2021-09-23 05:02:32.193323 : Epoch  6, Batch    735, Loss  0.867895, Average Loss  0.869639, Time  0.414194
2021-09-23 05:02:37.171225 : Epoch  6, Batch    736, Loss  0.866899, Average Loss  0.869572, Time  0.413960
2021-09-23 05:02:42.133809 : Epoch  6, Batch    737, Loss  0.871247, Average Loss  0.869558, Time  0.414088
2021-09-23 05:02:47.091925 : Epoch  6, Batch    738, Loss  0.870622, Average Loss  0.869587, Time  0.413849
2021-09-23 05:02:52.124983 : Epoch  6, Batch    739, Loss  0.861540, Average Loss  0.869522, Time  0.467326
2021-09-23 05:02:57.093151 : Epoch  6, Batch    740, Loss  0.895030, Average Loss  0.869705, Time  0.421213
2021-09-23 05:03:02.059789 : Epoch  6, Batch    741, Loss  0.877729, Average Loss  0.869719, Time  0.413694
2021-09-23 05:03:07.023257 : Epoch  6, Batch    742, Loss  0.859421, Average Loss  0.869671, Time  0.413618
2021-09-23 05:03:12.014989 : Epoch  6, Batch    743, Loss  0.873057, Average Loss  0.869610, Time  0.414681
2021-09-23 05:03:17.005803 : Epoch  6, Batch    744, Loss  0.867209, Average Loss  0.869607, Time  0.415072
2021-09-23 05:03:21.975076 : Epoch  6, Batch    745, Loss  0.875650, Average Loss  0.869677, Time  0.414303
2021-09-23 05:03:26.937319 : Epoch  6, Batch    746, Loss  0.861204, Average Loss  0.869632, Time  0.414188
2021-09-23 05:03:31.917229 : Epoch  6, Batch    747, Loss  0.888724, Average Loss  0.869711, Time  0.414918
2021-09-23 05:03:36.901159 : Epoch  6, Batch    748, Loss  0.859953, Average Loss  0.869608, Time  0.432571
2021-09-23 05:03:41.878802 : Epoch  6, Batch    749, Loss  0.871488, Average Loss  0.869665, Time  0.413641
2021-09-23 05:03:46.846893 : Epoch  6, Batch    750, Loss  0.871806, Average Loss  0.869620, Time  0.413588
2021-09-23 05:03:51.815002 : Epoch  6, Batch    751, Loss  0.883516, Average Loss  0.869661, Time  0.413547
2021-09-23 05:03:56.776939 : Epoch  6, Batch    752, Loss  0.869528, Average Loss  0.869686, Time  0.413553
2021-09-23 05:04:01.740159 : Epoch  6, Batch    753, Loss  0.856745, Average Loss  0.869669, Time  0.413457
2021-09-23 05:04:06.717935 : Epoch  6, Batch    754, Loss  0.864781, Average Loss  0.869667, Time  0.414098
2021-09-23 05:04:11.688757 : Epoch  6, Batch    755, Loss  0.863332, Average Loss  0.869606, Time  0.413309
2021-09-23 05:04:16.666071 : Epoch  6, Batch    756, Loss  0.880851, Average Loss  0.869634, Time  0.414684
2021-09-23 05:04:21.692006 : Epoch  6, Batch    757, Loss  0.871521, Average Loss  0.869649, Time  0.461920
2021-09-23 05:04:26.662798 : Epoch  6, Batch    758, Loss  0.867649, Average Loss  0.869662, Time  0.417987
2021-09-23 05:04:31.626018 : Epoch  6, Batch    759, Loss  0.863037, Average Loss  0.869593, Time  0.413697
2021-09-23 05:04:36.579818 : Epoch  6, Batch    760, Loss  0.868014, Average Loss  0.869687, Time  0.413741
2021-09-23 05:08:33.383757 : CheckPoint: Validation Loss  0.00015210, Best Loss  0.00014643
2021-09-23 05:08:38.341280 : Epoch  6, Batch    761, Loss  0.859884, Average Loss  0.869612, Time  0.414657
2021-09-23 05:08:43.297070 : Epoch  6, Batch    762, Loss  0.854202, Average Loss  0.869446, Time  0.413540
2021-09-23 05:08:48.253018 : Epoch  6, Batch    763, Loss  0.885645, Average Loss  0.869474, Time  0.413307
2021-09-23 05:08:53.212096 : Epoch  6, Batch    764, Loss  0.869588, Average Loss  0.869568, Time  0.413477
2021-09-23 05:08:58.180986 : Epoch  6, Batch    765, Loss  0.884808, Average Loss  0.869604, Time  0.413159
2021-09-23 05:09:03.192874 : Epoch  6, Batch    766, Loss  0.881113, Average Loss  0.869644, Time  0.460969
2021-09-23 05:09:08.175893 : Epoch  6, Batch    767, Loss  0.863803, Average Loss  0.869683, Time  0.414766
2021-09-23 05:09:13.151035 : Epoch  6, Batch    768, Loss  0.861952, Average Loss  0.869605, Time  0.414445
2021-09-23 05:09:18.100444 : Epoch  6, Batch    769, Loss  0.868588, Average Loss  0.869694, Time  0.414050
2021-09-23 05:09:23.074536 : Epoch  6, Batch    770, Loss  0.873189, Average Loss  0.869666, Time  0.413641
2021-09-23 05:09:28.040033 : Epoch  6, Batch    771, Loss  0.859536, Average Loss  0.869579, Time  0.413921
2021-09-23 05:09:33.021013 : Epoch  6, Batch    772, Loss  0.872350, Average Loss  0.869583, Time  0.413763
2021-09-23 05:09:37.961614 : Epoch  6, Batch    773, Loss  0.866212, Average Loss  0.869542, Time  0.413480
2021-09-23 05:09:42.915370 : Epoch  6, Batch    774, Loss  0.856161, Average Loss  0.869477, Time  0.413604
2021-09-23 05:09:47.915071 : Epoch  6, Batch    775, Loss  0.869408, Average Loss  0.869406, Time  0.457768
2021-09-23 05:09:52.862787 : Epoch  6, Batch    776, Loss  0.858158, Average Loss  0.869325, Time  0.413668
2021-09-23 05:09:57.846996 : Epoch  6, Batch    777, Loss  0.865710, Average Loss  0.869359, Time  0.413828
2021-09-23 05:10:02.808006 : Epoch  6, Batch    778, Loss  0.876033, Average Loss  0.869306, Time  0.413845
2021-09-23 05:10:07.771914 : Epoch  6, Batch    779, Loss  0.868880, Average Loss  0.869237, Time  0.413501
2021-09-23 05:10:12.731015 : Epoch  6, Batch    780, Loss  0.866802, Average Loss  0.869211, Time  0.414785
2021-09-23 05:10:17.699813 : Epoch  6, Batch    781, Loss  0.879737, Average Loss  0.869251, Time  0.414126
2021-09-23 05:10:22.656778 : Epoch  6, Batch    782, Loss  0.873142, Average Loss  0.869224, Time  0.413889
2021-09-23 05:10:27.614003 : Epoch  6, Batch    783, Loss  0.871434, Average Loss  0.869127, Time  0.413773
2021-09-23 05:10:32.628956 : Epoch  6, Batch    784, Loss  0.871650, Average Loss  0.869189, Time  0.456176
2021-09-23 05:10:37.592821 : Epoch  6, Batch    785, Loss  0.856891, Average Loss  0.869161, Time  0.413563
2021-09-23 05:10:42.568753 : Epoch  6, Batch    786, Loss  0.875424, Average Loss  0.869204, Time  0.414122
2021-09-23 05:10:47.531404 : Epoch  6, Batch    787, Loss  0.873272, Average Loss  0.869193, Time  0.413658
2021-09-23 05:10:52.493971 : Epoch  6, Batch    788, Loss  0.867814, Average Loss  0.869181, Time  0.413440
2021-09-23 05:10:57.506989 : Epoch  6, Batch    789, Loss  0.863368, Average Loss  0.869166, Time  0.414315
2021-09-23 05:11:02.467205 : Epoch  6, Batch    790, Loss  0.869147, Average Loss  0.869210, Time  0.416661
2021-09-23 05:11:07.504098 : Epoch  6, Batch    791, Loss  0.861103, Average Loss  0.869202, Time  0.413637
2021-09-23 05:11:12.475291 : Epoch  6, Batch    792, Loss  0.877171, Average Loss  0.869238, Time  0.413699
2021-09-23 05:11:17.469760 : Epoch  6, Batch    793, Loss  0.868351, Average Loss  0.869175, Time  0.456374
2021-09-23 05:11:22.435060 : Epoch  6, Batch    794, Loss  0.868319, Average Loss  0.869145, Time  0.413975
2021-09-23 05:11:27.392971 : Epoch  6, Batch    795, Loss  0.875828, Average Loss  0.869164, Time  0.414104
2021-09-23 05:11:32.353194 : Epoch  6, Batch    796, Loss  0.874307, Average Loss  0.869210, Time  0.414575
2021-09-23 05:11:37.323169 : Epoch  6, Batch    797, Loss  0.858773, Average Loss  0.869099, Time  0.413805
2021-09-23 05:11:42.288206 : Epoch  6, Batch    798, Loss  0.867304, Average Loss  0.869112, Time  0.413865
2021-09-23 05:11:47.240755 : Epoch  6, Batch    799, Loss  0.876378, Average Loss  0.869078, Time  0.413683
2021-09-23 05:11:52.196792 : Epoch  6, Batch    800, Loss  0.870431, Average Loss  0.869116, Time  0.413461
2021-09-23 05:11:57.152839 : Epoch  6, Batch    801, Loss  0.870254, Average Loss  0.869112, Time  0.413195
2021-09-23 05:12:02.106034 : Epoch  6, Batch    802, Loss  0.872282, Average Loss  0.869094, Time  0.413440
2021-09-23 05:12:07.098012 : Epoch  6, Batch    803, Loss  0.871452, Average Loss  0.869026, Time  0.462813
2021-09-23 05:12:12.049007 : Epoch  6, Batch    804, Loss  0.854208, Average Loss  0.868944, Time  0.415962
2021-09-23 05:12:17.021924 : Epoch  6, Batch    805, Loss  0.852519, Average Loss  0.868863, Time  0.414418
2021-09-23 05:12:21.990751 : Epoch  6, Batch    806, Loss  0.873180, Average Loss  0.868840, Time  0.427840
2021-09-23 05:12:26.951983 : Epoch  6, Batch    807, Loss  0.884609, Average Loss  0.868916, Time  0.413997
2021-09-23 05:12:31.888939 : Epoch  6, Batch    808, Loss  0.879821, Average Loss  0.868992, Time  0.413488
2021-09-23 05:12:36.836971 : Epoch  6, Batch    809, Loss  0.870182, Average Loss  0.868922, Time  0.414248
2021-09-23 05:12:41.794798 : Epoch  6, Batch    810, Loss  0.868102, Average Loss  0.868901, Time  0.413248
2021-09-23 05:12:46.743920 : Epoch  6, Batch    811, Loss  0.876838, Average Loss  0.868918, Time  0.413118
2021-09-23 05:12:51.751885 : Epoch  6, Batch    812, Loss  0.860724, Average Loss  0.868857, Time  0.464835
2021-09-23 05:12:56.712736 : Epoch  6, Batch    813, Loss  0.875727, Average Loss  0.868853, Time  0.419984
2021-09-23 05:13:01.658585 : Epoch  6, Batch    814, Loss  0.878605, Average Loss  0.868974, Time  0.413107
2021-09-23 05:13:06.632000 : Epoch  6, Batch    815, Loss  0.884868, Average Loss  0.869086, Time  0.413607
2021-09-23 05:13:11.594715 : Epoch  6, Batch    816, Loss  0.858952, Average Loss  0.869071, Time  0.413296
2021-09-23 05:13:16.540283 : Epoch  6, Batch    817, Loss  0.877224, Average Loss  0.869107, Time  0.413239
2021-09-23 05:13:21.506053 : Epoch  6, Batch    818, Loss  0.868983, Average Loss  0.869125, Time  0.414509
2021-09-23 05:13:26.460747 : Epoch  6, Batch    819, Loss  0.852813, Average Loss  0.868982, Time  0.413833
2021-09-23 05:13:31.414143 : Epoch  6, Batch    820, Loss  0.887174, Average Loss  0.869050, Time  0.413731
2021-09-23 05:13:36.419052 : Epoch  6, Batch    821, Loss  0.855195, Average Loss  0.868924, Time  0.464724
2021-09-23 05:13:41.379746 : Epoch  6, Batch    822, Loss  0.875783, Average Loss  0.868911, Time  0.420611
2021-09-23 05:13:46.341164 : Epoch  6, Batch    823, Loss  0.867898, Average Loss  0.868964, Time  0.413212
2021-09-23 05:13:51.300068 : Epoch  6, Batch    824, Loss  0.860074, Average Loss  0.868895, Time  0.413378
2021-09-23 05:13:56.255127 : Epoch  6, Batch    825, Loss  0.867083, Average Loss  0.868864, Time  0.413214
2021-09-23 05:14:01.209019 : Epoch  6, Batch    826, Loss  0.864666, Average Loss  0.868814, Time  0.413406
2021-09-23 05:14:06.157140 : Epoch  6, Batch    827, Loss  0.874896, Average Loss  0.868821, Time  0.413186
2021-09-23 05:14:11.118159 : Epoch  6, Batch    828, Loss  0.859932, Average Loss  0.868810, Time  0.413255
2021-09-23 05:14:16.074764 : Epoch  6, Batch    829, Loss  0.870767, Average Loss  0.868812, Time  0.414607
2021-09-23 05:14:21.025991 : Epoch  6, Batch    830, Loss  0.853540, Average Loss  0.868694, Time  0.413409
2021-09-23 05:14:26.034148 : Epoch  6, Batch    831, Loss  0.871679, Average Loss  0.868715, Time  0.455811
2021-09-23 05:14:30.997843 : Epoch  6, Batch    832, Loss  0.870006, Average Loss  0.868808, Time  0.413976
2021-09-23 05:14:35.946049 : Epoch  6, Batch    833, Loss  0.882286, Average Loss  0.868828, Time  0.413951
2021-09-23 05:14:40.936814 : Epoch  6, Batch    834, Loss  0.867051, Average Loss  0.868782, Time  0.413673
2021-09-23 05:14:45.980744 : Epoch  6, Batch    835, Loss  0.876752, Average Loss  0.868803, Time  0.414120
2021-09-23 05:14:50.947053 : Epoch  6, Batch    836, Loss  0.882959, Average Loss  0.868834, Time  0.413260
2021-09-23 05:14:55.902038 : Epoch  6, Batch    837, Loss  0.864859, Average Loss  0.868909, Time  0.413440
2021-09-23 05:15:00.849753 : Epoch  6, Batch    838, Loss  0.856449, Average Loss  0.868916, Time  0.413591
2021-09-23 05:15:05.818955 : Epoch  6, Batch    839, Loss  0.862697, Average Loss  0.868899, Time  0.413417
2021-09-23 05:15:10.807090 : Epoch  6, Batch    840, Loss  0.855983, Average Loss  0.868786, Time  0.457652
2021-09-23 05:15:15.776288 : Epoch  6, Batch    841, Loss  0.873709, Average Loss  0.868805, Time  0.413248
2021-09-23 05:15:20.738879 : Epoch  6, Batch    842, Loss  0.860522, Average Loss  0.868719, Time  0.413050
2021-09-23 05:15:25.681965 : Epoch  6, Batch    843, Loss  0.872491, Average Loss  0.868754, Time  0.413229
2021-09-23 05:15:30.639364 : Epoch  6, Batch    844, Loss  0.881404, Average Loss  0.868829, Time  0.414287
2021-09-23 05:15:35.592349 : Epoch  6, Batch    845, Loss  0.873265, Average Loss  0.868807, Time  0.413876
2021-09-23 05:15:40.540415 : Epoch  6, Batch    846, Loss  0.867218, Average Loss  0.868722, Time  0.413530
2021-09-23 05:15:45.503756 : Epoch  6, Batch    847, Loss  0.863181, Average Loss  0.868686, Time  0.413847
2021-09-23 05:15:50.463162 : Epoch  6, Batch    848, Loss  0.891672, Average Loss  0.868818, Time  0.413162
2021-09-23 05:15:55.571712 : Epoch  6, Batch    849, Loss  0.870538, Average Loss  0.868767, Time  0.460758
2021-09-23 05:16:00.525994 : Epoch  6, Batch    850, Loss  0.871655, Average Loss  0.868747, Time  0.413314
2021-09-23 05:16:05.485743 : Epoch  6, Batch    851, Loss  0.864094, Average Loss  0.868654, Time  0.413102
2021-09-23 05:16:10.440375 : Epoch  6, Batch    852, Loss  0.849114, Average Loss  0.868523, Time  0.413136
2021-09-23 05:16:15.392802 : Epoch  6, Batch    853, Loss  0.874206, Average Loss  0.868626, Time  0.413054
2021-09-23 05:16:20.369865 : Epoch  6, Batch    854, Loss  0.885911, Average Loss  0.868737, Time  0.413609
2021-09-23 05:16:25.317967 : Epoch  6, Batch    855, Loss  0.861370, Average Loss  0.868658, Time  0.413314
2021-09-23 05:16:30.269402 : Epoch  6, Batch    856, Loss  0.865925, Average Loss  0.868665, Time  0.414107
2021-09-23 05:16:35.227917 : Epoch  6, Batch    857, Loss  0.871561, Average Loss  0.868780, Time  0.413199
2021-09-23 05:16:40.172208 : Epoch  6, Batch    858, Loss  0.865762, Average Loss  0.868715, Time  0.414243
2021-09-23 05:16:45.161036 : Epoch  6, Batch    859, Loss  0.867028, Average Loss  0.868730, Time  0.456184
2021-09-23 05:16:50.104349 : Epoch  6, Batch    860, Loss  0.876224, Average Loss  0.868761, Time  0.413952
2021-09-23 05:20:46.319717 : CheckPoint: Validation Loss  0.00015153, Best Loss  0.00014643
2021-09-23 05:20:51.267171 : Epoch  6, Batch    861, Loss  0.881716, Average Loss  0.868786, Time  0.414524
2021-09-23 05:20:56.218039 : Epoch  6, Batch    862, Loss  0.856857, Average Loss  0.868717, Time  0.413030
2021-09-23 05:21:01.178950 : Epoch  6, Batch    863, Loss  0.866508, Average Loss  0.868792, Time  0.413463
2021-09-23 05:21:06.123258 : Epoch  6, Batch    864, Loss  0.872095, Average Loss  0.868846, Time  0.412826
2021-09-23 05:21:11.102712 : Epoch  6, Batch    865, Loss  0.868699, Average Loss  0.868913, Time  0.413050
2021-09-23 05:21:16.051781 : Epoch  6, Batch    866, Loss  0.863627, Average Loss  0.868897, Time  0.413171
2021-09-23 05:21:21.014724 : Epoch  6, Batch    867, Loss  0.859916, Average Loss  0.868818, Time  0.413196
2021-09-23 05:21:26.027027 : Epoch  6, Batch    868, Loss  0.854519, Average Loss  0.868721, Time  0.455662
2021-09-23 05:21:29.694054 : Epoch  6, Batch    869, Loss  0.886742, Average Loss  0.868816, Time  0.317927
2021-09-23 05:21:34.636307 : Epoch  6, Batch    870, Loss  0.861407, Average Loss  0.868837, Time  0.413219
2021-09-23 05:21:39.595929 : Epoch  6, Batch    871, Loss  0.874662, Average Loss  0.868806, Time  0.413378
2021-09-23 05:21:44.547570 : Epoch  6, Batch    872, Loss  0.864570, Average Loss  0.868821, Time  0.413500
2021-09-23 05:21:49.501719 : Epoch  6, Batch    873, Loss  0.879280, Average Loss  0.868886, Time  0.413647
2021-09-23 05:21:54.466718 : Epoch  6, Batch    874, Loss  0.868969, Average Loss  0.868862, Time  0.413496
2021-09-23 05:21:59.439750 : Epoch  6, Batch    875, Loss  0.878672, Average Loss  0.868946, Time  0.413174
2021-09-23 05:22:04.385003 : Epoch  6, Batch    876, Loss  0.878881, Average Loss  0.868989, Time  0.413360
2021-09-23 05:22:09.331010 : Epoch  6, Batch    877, Loss  0.867227, Average Loss  0.869025, Time  0.413146
2021-09-23 05:22:14.327012 : Epoch  6, Batch    878, Loss  0.877321, Average Loss  0.869133, Time  0.464008
2021-09-23 05:22:19.283957 : Epoch  6, Batch    879, Loss  0.865455, Average Loss  0.869032, Time  0.420290
2021-09-23 05:22:24.245971 : Epoch  6, Batch    880, Loss  0.877598, Average Loss  0.869058, Time  0.414260
2021-09-23 05:22:29.197945 : Epoch  6, Batch    881, Loss  0.887593, Average Loss  0.869156, Time  0.413056
2021-09-23 05:22:34.152919 : Epoch  6, Batch    882, Loss  0.873900, Average Loss  0.869164, Time  0.413966
2021-09-23 05:22:39.089984 : Epoch  6, Batch    883, Loss  0.866647, Average Loss  0.869192, Time  0.412871
2021-09-23 05:22:44.033071 : Epoch  6, Batch    884, Loss  0.879721, Average Loss  0.869274, Time  0.413777
2021-09-23 05:22:48.992965 : Epoch  6, Batch    885, Loss  0.864647, Average Loss  0.869155, Time  0.413363
2021-09-23 05:22:53.946768 : Epoch  6, Batch    886, Loss  0.856836, Average Loss  0.869039, Time  0.412796
2021-09-23 05:22:58.929346 : Epoch  6, Batch    887, Loss  0.866641, Average Loss  0.869058, Time  0.454081
2021-09-23 05:23:03.875054 : Epoch  6, Batch    888, Loss  0.864639, Average Loss  0.869034, Time  0.413017
2021-09-23 05:23:08.814717 : Epoch  6, Batch    889, Loss  0.856397, Average Loss  0.868991, Time  0.413867
2021-09-23 05:23:13.756709 : Epoch  6, Batch    890, Loss  0.872399, Average Loss  0.869019, Time  0.412768
2021-09-23 05:23:18.703391 : Epoch  6, Batch    891, Loss  0.873411, Average Loss  0.869072, Time  0.413660
2021-09-23 05:23:23.644790 : Epoch  6, Batch    892, Loss  0.871902, Average Loss  0.869050, Time  0.413037
2021-09-23 05:23:28.592764 : Epoch  6, Batch    893, Loss  0.890331, Average Loss  0.869181, Time  0.414062
2021-09-23 05:23:33.615158 : Epoch  6, Batch    894, Loss  0.860476, Average Loss  0.869065, Time  0.414014
2021-09-23 05:23:38.572795 : Epoch  6, Batch    895, Loss  0.864159, Average Loss  0.869014, Time  0.413512
2021-09-23 05:23:43.566051 : Epoch  6, Batch    896, Loss  0.867051, Average Loss  0.869028, Time  0.463163
2021-09-23 05:23:48.525753 : Epoch  6, Batch    897, Loss  0.860943, Average Loss  0.869045, Time  0.421231
2021-09-23 05:23:53.479812 : Epoch  6, Batch    898, Loss  0.864225, Average Loss  0.869024, Time  0.412902
2021-09-23 05:23:58.432744 : Epoch  6, Batch    899, Loss  0.869270, Average Loss  0.869092, Time  0.413394
2021-09-23 05:24:03.374757 : Epoch  6, Batch    900, Loss  0.867089, Average Loss  0.869118, Time  0.413004
2021-09-23 05:24:08.332718 : Epoch  6, Batch    901, Loss  0.883251, Average Loss  0.869226, Time  0.413061
2021-09-23 05:24:13.271368 : Epoch  6, Batch    902, Loss  0.865066, Average Loss  0.869258, Time  0.413027
2021-09-23 05:24:18.206773 : Epoch  6, Batch    903, Loss  0.873846, Average Loss  0.869292, Time  0.412749
2021-09-23 05:24:23.184429 : Epoch  6, Batch    904, Loss  0.866932, Average Loss  0.869311, Time  0.414554
2021-09-23 05:24:28.132729 : Epoch  6, Batch    905, Loss  0.856883, Average Loss  0.869281, Time  0.412997
2021-09-23 05:24:33.139876 : Epoch  6, Batch    906, Loss  0.844556, Average Loss  0.869117, Time  0.461509
2021-09-23 05:24:38.097493 : Epoch  6, Batch    907, Loss  0.869718, Average Loss  0.869100, Time  0.413456
2021-09-23 05:24:43.036884 : Epoch  6, Batch    908, Loss  0.881878, Average Loss  0.869175, Time  0.413223
2021-09-23 05:24:47.981016 : Epoch  6, Batch    909, Loss  0.871904, Average Loss  0.869214, Time  0.413159
2021-09-23 05:24:52.926056 : Epoch  6, Batch    910, Loss  0.872691, Average Loss  0.869277, Time  0.413650
2021-09-23 05:24:57.896724 : Epoch  6, Batch    911, Loss  0.879931, Average Loss  0.869382, Time  0.413848
2021-09-23 05:25:02.846872 : Epoch  6, Batch    912, Loss  0.871333, Average Loss  0.869391, Time  0.414853
2021-09-23 05:25:07.850751 : Epoch  6, Batch    913, Loss  0.878296, Average Loss  0.869451, Time  0.413291
2021-09-23 05:25:12.795073 : Epoch  6, Batch    914, Loss  0.877046, Average Loss  0.869477, Time  0.413390
2021-09-23 05:25:17.798695 : Epoch  6, Batch    915, Loss  0.887313, Average Loss  0.869604, Time  0.464751
2021-09-23 05:25:22.733901 : Epoch  6, Batch    916, Loss  0.871900, Average Loss  0.869570, Time  0.415786
2021-09-23 05:25:27.676708 : Epoch  6, Batch    917, Loss  0.871934, Average Loss  0.869599, Time  0.412785
2021-09-23 05:25:32.623841 : Epoch  6, Batch    918, Loss  0.860879, Average Loss  0.869558, Time  0.413067
2021-09-23 05:25:37.565086 : Epoch  6, Batch    919, Loss  0.852118, Average Loss  0.869479, Time  0.414059
2021-09-23 05:25:42.521998 : Epoch  6, Batch    920, Loss  0.863743, Average Loss  0.869461, Time  0.413793
2021-09-23 05:25:47.458921 : Epoch  6, Batch    921, Loss  0.866301, Average Loss  0.869438, Time  0.413965
2021-09-23 05:25:52.408908 : Epoch  6, Batch    922, Loss  0.872266, Average Loss  0.869515, Time  0.414191
2021-09-23 05:25:57.353756 : Epoch  6, Batch    923, Loss  0.871052, Average Loss  0.869448, Time  0.413055
2021-09-23 05:26:02.303189 : Epoch  6, Batch    924, Loss  0.879425, Average Loss  0.869503, Time  0.413221
2021-09-23 05:26:07.294711 : Epoch  6, Batch    925, Loss  0.856514, Average Loss  0.869481, Time  0.463280
2021-09-23 05:26:12.236752 : Epoch  6, Batch    926, Loss  0.872066, Average Loss  0.869423, Time  0.412746
2021-09-23 05:26:17.185747 : Epoch  6, Batch    927, Loss  0.868623, Average Loss  0.869418, Time  0.412955
2021-09-23 05:26:22.134345 : Epoch  6, Batch    928, Loss  0.864123, Average Loss  0.869423, Time  0.413081
2021-09-23 05:26:22.170829 : Saving Model after 6-th Epoch.
2021-09-23 05:26:22.937895 : Epoch Finished.
2021-09-23 05:26:31.727587 : Batch Shuffled
2021-09-23 05:26:36.661046 : Epoch  7, Batch      1, Loss  0.867693, Average Loss  0.869446, Time  0.412922
2021-09-23 05:26:41.615988 : Epoch  7, Batch      2, Loss  0.866253, Average Loss  0.869502, Time  0.414504
2021-09-23 05:26:46.567012 : Epoch  7, Batch      3, Loss  0.855615, Average Loss  0.869460, Time  0.413557
2021-09-23 05:26:51.561738 : Epoch  7, Batch      4, Loss  0.877528, Average Loss  0.869508, Time  0.460734
2021-09-23 05:26:56.496776 : Epoch  7, Batch      5, Loss  0.872781, Average Loss  0.869519, Time  0.414006
2021-09-23 05:27:01.454712 : Epoch  7, Batch      6, Loss  0.877899, Average Loss  0.869543, Time  0.413325
2021-09-23 05:27:06.392049 : Epoch  7, Batch      7, Loss  0.868325, Average Loss  0.869545, Time  0.413339
2021-09-23 05:27:11.341742 : Epoch  7, Batch      8, Loss  0.867195, Average Loss  0.869547, Time  0.412882
2021-09-23 05:27:16.297722 : Epoch  7, Batch      9, Loss  0.865598, Average Loss  0.869518, Time  0.412969
2021-09-23 05:27:21.248181 : Epoch  7, Batch     10, Loss  0.870243, Average Loss  0.869516, Time  0.413297
2021-09-23 05:27:26.202753 : Epoch  7, Batch     11, Loss  0.874452, Average Loss  0.869581, Time  0.412664
2021-09-23 05:27:31.157802 : Epoch  7, Batch     12, Loss  0.858378, Average Loss  0.869398, Time  0.413032
2021-09-23 05:27:36.117933 : Epoch  7, Batch     13, Loss  0.861355, Average Loss  0.869316, Time  0.413216
2021-09-23 05:27:41.119813 : Epoch  7, Batch     14, Loss  0.885910, Average Loss  0.869448, Time  0.457231
2021-09-23 05:27:46.084751 : Epoch  7, Batch     15, Loss  0.875665, Average Loss  0.869461, Time  0.414580
2021-09-23 05:27:51.045193 : Epoch  7, Batch     16, Loss  0.878229, Average Loss  0.869516, Time  0.413251
2021-09-23 05:27:55.984757 : Epoch  7, Batch     17, Loss  0.856382, Average Loss  0.869420, Time  0.413750
2021-09-23 05:28:00.924999 : Epoch  7, Batch     18, Loss  0.868788, Average Loss  0.869458, Time  0.413046
2021-09-23 05:28:05.889770 : Epoch  7, Batch     19, Loss  0.868520, Average Loss  0.869357, Time  0.413311
2021-09-23 05:28:10.847171 : Epoch  7, Batch     20, Loss  0.861753, Average Loss  0.869366, Time  0.413351
2021-09-23 05:28:15.784710 : Epoch  7, Batch     21, Loss  0.874196, Average Loss  0.869380, Time  0.413008
2021-09-23 05:28:20.780804 : Epoch  7, Batch     22, Loss  0.863893, Average Loss  0.869340, Time  0.413145
2021-09-23 05:28:25.792761 : Epoch  7, Batch     23, Loss  0.869472, Average Loss  0.869270, Time  0.460850
2021-09-23 05:28:30.777029 : Epoch  7, Batch     24, Loss  0.869323, Average Loss  0.869269, Time  0.413976
2021-09-23 05:28:35.724742 : Epoch  7, Batch     25, Loss  0.870754, Average Loss  0.869339, Time  0.412949
2021-09-23 05:28:40.674997 : Epoch  7, Batch     26, Loss  0.888553, Average Loss  0.869458, Time  0.412897
2021-09-23 05:28:45.643985 : Epoch  7, Batch     27, Loss  0.870703, Average Loss  0.869495, Time  0.413464
2021-09-23 05:28:50.587966 : Epoch  7, Batch     28, Loss  0.872076, Average Loss  0.869451, Time  0.414315
2021-09-23 05:28:55.570056 : Epoch  7, Batch     29, Loss  0.862227, Average Loss  0.869404, Time  0.413815
2021-09-23 05:29:00.586096 : Epoch  7, Batch     30, Loss  0.869502, Average Loss  0.869413, Time  0.413639
2021-09-23 05:29:05.542820 : Epoch  7, Batch     31, Loss  0.867984, Average Loss  0.869438, Time  0.414138
2021-09-23 05:29:10.542020 : Epoch  7, Batch     32, Loss  0.865971, Average Loss  0.869428, Time  0.413290
2021-09-23 05:33:07.245472 : CheckPoint: Validation Loss  0.00014967, Best Loss  0.00014643
2021-09-23 05:33:12.213764 : Epoch  7, Batch     33, Loss  0.873960, Average Loss  0.869498, Time  0.421621
2021-09-23 05:33:17.156983 : Epoch  7, Batch     34, Loss  0.873458, Average Loss  0.869595, Time  0.413234
2021-09-23 05:33:22.106982 : Epoch  7, Batch     35, Loss  0.864105, Average Loss  0.869487, Time  0.412875
2021-09-23 05:33:27.053316 : Epoch  7, Batch     36, Loss  0.854909, Average Loss  0.869414, Time  0.412862
2021-09-23 05:33:32.021731 : Epoch  7, Batch     37, Loss  0.876213, Average Loss  0.869371, Time  0.413399
2021-09-23 05:33:36.972204 : Epoch  7, Batch     38, Loss  0.872857, Average Loss  0.869329, Time  0.412887
2021-09-23 05:33:41.945805 : Epoch  7, Batch     39, Loss  0.859481, Average Loss  0.869308, Time  0.414599
2021-09-23 05:33:46.913818 : Epoch  7, Batch     40, Loss  0.864930, Average Loss  0.869323, Time  0.413526
2021-09-23 05:33:51.871826 : Epoch  7, Batch     41, Loss  0.868570, Average Loss  0.869322, Time  0.413723
2021-09-23 05:33:56.866131 : Epoch  7, Batch     42, Loss  0.859800, Average Loss  0.869255, Time  0.452197
2021-09-23 05:34:01.822992 : Epoch  7, Batch     43, Loss  0.874610, Average Loss  0.869331, Time  0.413714
2021-09-23 05:34:06.777093 : Epoch  7, Batch     44, Loss  0.848076, Average Loss  0.869209, Time  0.413548
2021-09-23 05:34:11.725764 : Epoch  7, Batch     45, Loss  0.874969, Average Loss  0.869253, Time  0.412833
2021-09-23 05:34:16.675004 : Epoch  7, Batch     46, Loss  0.865081, Average Loss  0.869298, Time  0.413078
2021-09-23 05:34:21.619807 : Epoch  7, Batch     47, Loss  0.865315, Average Loss  0.869277, Time  0.413384
2021-09-23 05:34:26.577110 : Epoch  7, Batch     48, Loss  0.854826, Average Loss  0.869261, Time  0.412834
2021-09-23 05:34:31.525984 : Epoch  7, Batch     49, Loss  0.852257, Average Loss  0.869193, Time  0.413145
2021-09-23 05:34:36.475196 : Epoch  7, Batch     50, Loss  0.862869, Average Loss  0.869128, Time  0.413121
2021-09-23 05:34:41.416007 : Epoch  7, Batch     51, Loss  0.875325, Average Loss  0.869160, Time  0.413123
2021-09-23 05:34:46.404032 : Epoch  7, Batch     52, Loss  0.892222, Average Loss  0.869287, Time  0.455552
2021-09-23 05:34:51.375873 : Epoch  7, Batch     53, Loss  0.867688, Average Loss  0.869227, Time  0.413331
2021-09-23 05:34:56.324014 : Epoch  7, Batch     54, Loss  0.885504, Average Loss  0.869289, Time  0.413814
2021-09-23 05:35:01.272958 : Epoch  7, Batch     55, Loss  0.866173, Average Loss  0.869262, Time  0.413628
2021-09-23 05:35:06.232758 : Epoch  7, Batch     56, Loss  0.872197, Average Loss  0.869265, Time  0.413399
2021-09-23 05:35:11.186727 : Epoch  7, Batch     57, Loss  0.884172, Average Loss  0.869401, Time  0.413211
2021-09-23 05:35:16.142664 : Epoch  7, Batch     58, Loss  0.872051, Average Loss  0.869385, Time  0.421322
2021-09-23 05:35:21.081913 : Epoch  7, Batch     59, Loss  0.864881, Average Loss  0.869343, Time  0.413408
2021-09-23 05:35:26.028782 : Epoch  7, Batch     60, Loss  0.875231, Average Loss  0.869380, Time  0.412975
2021-09-23 05:35:31.038997 : Epoch  7, Batch     61, Loss  0.875725, Average Loss  0.869441, Time  0.464015
2021-09-23 05:35:35.988048 : Epoch  7, Batch     62, Loss  0.852040, Average Loss  0.869356, Time  0.420086
2021-09-23 05:35:40.928723 : Epoch  7, Batch     63, Loss  0.855343, Average Loss  0.869327, Time  0.413236
2021-09-23 05:35:45.884726 : Epoch  7, Batch     64, Loss  0.874965, Average Loss  0.869316, Time  0.413967
2021-09-23 05:35:50.848000 : Epoch  7, Batch     65, Loss  0.869464, Average Loss  0.869322, Time  0.412766
2021-09-23 05:35:55.788484 : Epoch  7, Batch     66, Loss  0.865581, Average Loss  0.869308, Time  0.414121
2021-09-23 05:36:00.729736 : Epoch  7, Batch     67, Loss  0.879741, Average Loss  0.869328, Time  0.413004
2021-09-23 05:36:05.680141 : Epoch  7, Batch     68, Loss  0.872812, Average Loss  0.869320, Time  0.414084
2021-09-23 05:36:10.625744 : Epoch  7, Batch     69, Loss  0.861540, Average Loss  0.869334, Time  0.412998
2021-09-23 05:36:15.625043 : Epoch  7, Batch     70, Loss  0.871366, Average Loss  0.869354, Time  0.457959
2021-09-23 05:36:20.567751 : Epoch  7, Batch     71, Loss  0.877704, Average Loss  0.869361, Time  0.413094
2021-09-23 05:36:25.520722 : Epoch  7, Batch     72, Loss  0.875711, Average Loss  0.869387, Time  0.412891
2021-09-23 05:36:30.462975 : Epoch  7, Batch     73, Loss  0.861397, Average Loss  0.869343, Time  0.413147
2021-09-23 05:36:35.409982 : Epoch  7, Batch     74, Loss  0.863922, Average Loss  0.869301, Time  0.413083
2021-09-23 05:36:40.357714 : Epoch  7, Batch     75, Loss  0.878089, Average Loss  0.869334, Time  0.413843
2021-09-23 05:36:45.299745 : Epoch  7, Batch     76, Loss  0.882265, Average Loss  0.869475, Time  0.412971
2021-09-23 05:36:50.255007 : Epoch  7, Batch     77, Loss  0.863671, Average Loss  0.869530, Time  0.414589
2021-09-23 05:36:55.203985 : Epoch  7, Batch     78, Loss  0.870194, Average Loss  0.869515, Time  0.413314
2021-09-23 05:37:00.149164 : Epoch  7, Batch     79, Loss  0.875483, Average Loss  0.869470, Time  0.413470
2021-09-23 05:37:05.149015 : Epoch  7, Batch     80, Loss  0.867916, Average Loss  0.869410, Time  0.461419
2021-09-23 05:37:10.092400 : Epoch  7, Batch     81, Loss  0.871498, Average Loss  0.869417, Time  0.413891
2021-09-23 05:37:15.039755 : Epoch  7, Batch     82, Loss  0.872576, Average Loss  0.869439, Time  0.413492
2021-09-23 05:37:19.979978 : Epoch  7, Batch     83, Loss  0.876450, Average Loss  0.869437, Time  0.412932
2021-09-23 05:37:24.933720 : Epoch  7, Batch     84, Loss  0.863055, Average Loss  0.869449, Time  0.412974
2021-09-23 05:37:29.881966 : Epoch  7, Batch     85, Loss  0.864506, Average Loss  0.869393, Time  0.412966
2021-09-23 05:37:34.822826 : Epoch  7, Batch     86, Loss  0.874501, Average Loss  0.869372, Time  0.412880
2021-09-23 05:37:39.767045 : Epoch  7, Batch     87, Loss  0.885699, Average Loss  0.869376, Time  0.413118
2021-09-23 05:37:44.716018 : Epoch  7, Batch     88, Loss  0.889915, Average Loss  0.869531, Time  0.413357
2021-09-23 05:37:49.689737 : Epoch  7, Batch     89, Loss  0.866853, Average Loss  0.869479, Time  0.455926
2021-09-23 05:37:54.643075 : Epoch  7, Batch     90, Loss  0.863351, Average Loss  0.869451, Time  0.414633
2021-09-23 05:37:59.588028 : Epoch  7, Batch     91, Loss  0.868006, Average Loss  0.869527, Time  0.413278
2021-09-23 05:38:04.537169 : Epoch  7, Batch     92, Loss  0.873590, Average Loss  0.869459, Time  0.413834
2021-09-23 05:38:09.482963 : Epoch  7, Batch     93, Loss  0.878334, Average Loss  0.869575, Time  0.413407
2021-09-23 05:38:14.427254 : Epoch  7, Batch     94, Loss  0.868520, Average Loss  0.869539, Time  0.414178
2021-09-23 05:38:19.364974 : Epoch  7, Batch     95, Loss  0.861095, Average Loss  0.869505, Time  0.413279
2021-09-23 05:38:24.302085 : Epoch  7, Batch     96, Loss  0.875195, Average Loss  0.869580, Time  0.413057
2021-09-23 05:38:29.242716 : Epoch  7, Batch     97, Loss  0.861184, Average Loss  0.869551, Time  0.413160
2021-09-23 05:38:34.174065 : Epoch  7, Batch     98, Loss  0.863568, Average Loss  0.869545, Time  0.412937
2021-09-23 05:38:39.180145 : Epoch  7, Batch     99, Loss  0.889097, Average Loss  0.869616, Time  0.467748
2021-09-23 05:38:44.128981 : Epoch  7, Batch    100, Loss  0.864150, Average Loss  0.869637, Time  0.415792
2021-09-23 05:38:49.087085 : Epoch  7, Batch    101, Loss  0.873200, Average Loss  0.869650, Time  0.412890
2021-09-23 05:38:54.128122 : Epoch  7, Batch    102, Loss  0.867630, Average Loss  0.869720, Time  0.413671
2021-09-23 05:38:59.088001 : Epoch  7, Batch    103, Loss  0.871883, Average Loss  0.869721, Time  0.414193
2021-09-23 05:39:04.059186 : Epoch  7, Batch    104, Loss  0.865563, Average Loss  0.869699, Time  0.413757
2021-09-23 05:39:09.007039 : Epoch  7, Batch    105, Loss  0.871619, Average Loss  0.869645, Time  0.413736
2021-09-23 05:39:13.953497 : Epoch  7, Batch    106, Loss  0.859652, Average Loss  0.869608, Time  0.413817
2021-09-23 05:39:18.904744 : Epoch  7, Batch    107, Loss  0.852957, Average Loss  0.869489, Time  0.412836
2021-09-23 05:39:23.903815 : Epoch  7, Batch    108, Loss  0.885737, Average Loss  0.869503, Time  0.463781
2021-09-23 05:39:28.859927 : Epoch  7, Batch    109, Loss  0.869572, Average Loss  0.869527, Time  0.420048
2021-09-23 05:39:33.806767 : Epoch  7, Batch    110, Loss  0.862616, Average Loss  0.869558, Time  0.412961
2021-09-23 05:39:38.763740 : Epoch  7, Batch    111, Loss  0.872286, Average Loss  0.869606, Time  0.413141
2021-09-23 05:39:43.716114 : Epoch  7, Batch    112, Loss  0.863525, Average Loss  0.869643, Time  0.413233
2021-09-23 05:39:48.647034 : Epoch  7, Batch    113, Loss  0.858834, Average Loss  0.869569, Time  0.413458
2021-09-23 05:39:53.610955 : Epoch  7, Batch    114, Loss  0.859498, Average Loss  0.869564, Time  0.413326
2021-09-23 05:39:58.555730 : Epoch  7, Batch    115, Loss  0.866370, Average Loss  0.869533, Time  0.413974
2021-09-23 05:40:03.517840 : Epoch  7, Batch    116, Loss  0.878682, Average Loss  0.869520, Time  0.413952
2021-09-23 05:40:08.473819 : Epoch  7, Batch    117, Loss  0.863861, Average Loss  0.869473, Time  0.414025
2021-09-23 05:40:13.471716 : Epoch  7, Batch    118, Loss  0.872421, Average Loss  0.869499, Time  0.464907
2021-09-23 05:40:18.428731 : Epoch  7, Batch    119, Loss  0.868237, Average Loss  0.869524, Time  0.419914
2021-09-23 05:40:23.374742 : Epoch  7, Batch    120, Loss  0.863318, Average Loss  0.869382, Time  0.422076
2021-09-23 05:40:28.314030 : Epoch  7, Batch    121, Loss  0.872416, Average Loss  0.869392, Time  0.412800
2021-09-23 05:40:33.258964 : Epoch  7, Batch    122, Loss  0.873882, Average Loss  0.869403, Time  0.413521
2021-09-23 05:40:38.208721 : Epoch  7, Batch    123, Loss  0.873637, Average Loss  0.869450, Time  0.412841
2021-09-23 05:40:43.141976 : Epoch  7, Batch    124, Loss  0.858998, Average Loss  0.869500, Time  0.412931
2021-09-23 05:40:48.087113 : Epoch  7, Batch    125, Loss  0.863869, Average Loss  0.869448, Time  0.412981
2021-09-23 05:40:53.025029 : Epoch  7, Batch    126, Loss  0.871747, Average Loss  0.869377, Time  0.412746
2021-09-23 05:40:58.069994 : Epoch  7, Batch    127, Loss  0.886345, Average Loss  0.869502, Time  0.451688
2021-09-23 05:41:03.015931 : Epoch  7, Batch    128, Loss  0.869842, Average Loss  0.869522, Time  0.414445
2021-09-23 05:41:07.955905 : Epoch  7, Batch    129, Loss  0.865915, Average Loss  0.869494, Time  0.413413
2021-09-23 05:41:12.901970 : Epoch  7, Batch    130, Loss  0.863350, Average Loss  0.869482, Time  0.417128
2021-09-23 05:41:17.842904 : Epoch  7, Batch    131, Loss  0.877693, Average Loss  0.869535, Time  0.413117
2021-09-23 05:41:22.795992 : Epoch  7, Batch    132, Loss  0.872165, Average Loss  0.869515, Time  0.414485
2021-09-23 05:45:18.572720 : CheckPoint: Validation Loss  0.00014957, Best Loss  0.00014643
2021-09-23 05:45:23.529011 : Epoch  7, Batch    133, Loss  0.870469, Average Loss  0.869458, Time  0.414358
2021-09-23 05:45:28.479768 : Epoch  7, Batch    134, Loss  0.864020, Average Loss  0.869494, Time  0.412760
2021-09-23 05:45:33.475015 : Epoch  7, Batch    135, Loss  0.872544, Average Loss  0.869524, Time  0.412984
2021-09-23 05:45:38.458500 : Epoch  7, Batch    136, Loss  0.870625, Average Loss  0.869517, Time  0.450120
2021-09-23 05:45:43.502927 : Epoch  7, Batch    137, Loss  0.856927, Average Loss  0.869458, Time  0.412982
2021-09-23 05:45:48.510343 : Epoch  7, Batch    138, Loss  0.861776, Average Loss  0.869449, Time  0.413272
2021-09-23 05:45:53.507504 : Epoch  7, Batch    139, Loss  0.866167, Average Loss  0.869480, Time  0.414356
2021-09-23 05:45:58.459236 : Epoch  7, Batch    140, Loss  0.873111, Average Loss  0.869573, Time  0.413819
2021-09-23 05:46:03.487148 : Epoch  7, Batch    141, Loss  0.862034, Average Loss  0.869450, Time  0.413982
2021-09-23 05:46:08.478973 : Epoch  7, Batch    142, Loss  0.866810, Average Loss  0.869477, Time  0.413316
2021-09-23 05:46:13.475961 : Epoch  7, Batch    143, Loss  0.886524, Average Loss  0.869536, Time  0.413877
2021-09-23 05:46:18.414822 : Epoch  7, Batch    144, Loss  0.882897, Average Loss  0.869628, Time  0.413359
2021-09-23 05:46:23.413748 : Epoch  7, Batch    145, Loss  0.871886, Average Loss  0.869591, Time  0.462575
2021-09-23 05:46:28.453998 : Epoch  7, Batch    146, Loss  0.865889, Average Loss  0.869575, Time  0.414562
2021-09-23 05:46:33.399769 : Epoch  7, Batch    147, Loss  0.868613, Average Loss  0.869525, Time  0.413172
2021-09-23 05:46:38.342746 : Epoch  7, Batch    148, Loss  0.867259, Average Loss  0.869467, Time  0.412973
2021-09-23 05:46:43.298993 : Epoch  7, Batch    149, Loss  0.872727, Average Loss  0.869494, Time  0.413358
2021-09-23 05:46:48.265817 : Epoch  7, Batch    150, Loss  0.874505, Average Loss  0.869480, Time  0.412986
2021-09-23 05:46:53.217960 : Epoch  7, Batch    151, Loss  0.864870, Average Loss  0.869477, Time  0.413017
2021-09-23 05:46:58.180027 : Epoch  7, Batch    152, Loss  0.875888, Average Loss  0.869469, Time  0.414257
2021-09-23 05:47:03.165992 : Epoch  7, Batch    153, Loss  0.873725, Average Loss  0.869399, Time  0.413455
2021-09-23 05:47:08.159038 : Epoch  7, Batch    154, Loss  0.873373, Average Loss  0.869397, Time  0.452435
2021-09-23 05:47:13.171092 : Epoch  7, Batch    155, Loss  0.877776, Average Loss  0.869452, Time  0.413559
2021-09-23 05:47:18.140984 : Epoch  7, Batch    156, Loss  0.875157, Average Loss  0.869430, Time  0.413250
2021-09-23 05:47:23.089227 : Epoch  7, Batch    157, Loss  0.862642, Average Loss  0.869420, Time  0.413247
2021-09-23 05:47:28.035752 : Epoch  7, Batch    158, Loss  0.862835, Average Loss  0.869450, Time  0.413112
2021-09-23 05:47:33.023047 : Epoch  7, Batch    159, Loss  0.867082, Average Loss  0.869452, Time  0.413392
2021-09-23 05:47:38.033100 : Epoch  7, Batch    160, Loss  0.861296, Average Loss  0.869435, Time  0.413179
2021-09-23 05:47:43.011975 : Epoch  7, Batch    161, Loss  0.884495, Average Loss  0.869576, Time  0.413003
2021-09-23 05:47:47.960365 : Epoch  7, Batch    162, Loss  0.871572, Average Loss  0.869571, Time  0.413420
2021-09-23 05:47:52.977040 : Epoch  7, Batch    163, Loss  0.873341, Average Loss  0.869571, Time  0.455209
2021-09-23 05:47:57.928060 : Epoch  7, Batch    164, Loss  0.858608, Average Loss  0.869505, Time  0.413013
2021-09-23 05:48:02.972053 : Epoch  7, Batch    165, Loss  0.871674, Average Loss  0.869411, Time  0.413785
2021-09-23 05:48:07.924056 : Epoch  7, Batch    166, Loss  0.859028, Average Loss  0.869404, Time  0.413925
2021-09-23 05:48:12.935118 : Epoch  7, Batch    167, Loss  0.879522, Average Loss  0.869481, Time  0.413405
2021-09-23 05:48:17.927811 : Epoch  7, Batch    168, Loss  0.872003, Average Loss  0.869506, Time  0.414289
2021-09-23 05:48:22.877719 : Epoch  7, Batch    169, Loss  0.870107, Average Loss  0.869551, Time  0.413423
2021-09-23 05:48:27.826972 : Epoch  7, Batch    170, Loss  0.861795, Average Loss  0.869539, Time  0.412802
2021-09-23 05:48:32.827771 : Epoch  7, Batch    171, Loss  0.862030, Average Loss  0.869503, Time  0.423462
2021-09-23 05:48:37.819192 : Epoch  7, Batch    172, Loss  0.876087, Average Loss  0.869548, Time  0.457029
2021-09-23 05:48:42.802950 : Epoch  7, Batch    173, Loss  0.860323, Average Loss  0.869433, Time  0.413137
2021-09-23 05:48:47.776974 : Epoch  7, Batch    174, Loss  0.871664, Average Loss  0.869466, Time  0.413665
2021-09-23 05:48:52.722420 : Epoch  7, Batch    175, Loss  0.875431, Average Loss  0.869474, Time  0.413257
2021-09-23 05:48:57.684381 : Epoch  7, Batch    176, Loss  0.877494, Average Loss  0.869527, Time  0.413261
2021-09-23 05:49:02.700814 : Epoch  7, Batch    177, Loss  0.865602, Average Loss  0.869571, Time  0.413031
2021-09-23 05:49:07.661784 : Epoch  7, Batch    178, Loss  0.874591, Average Loss  0.869721, Time  0.423571
2021-09-23 05:49:12.653877 : Epoch  7, Batch    179, Loss  0.868684, Average Loss  0.869716, Time  0.414131
2021-09-23 05:49:17.610987 : Epoch  7, Batch    180, Loss  0.867901, Average Loss  0.869646, Time  0.413341
2021-09-23 05:49:22.633823 : Epoch  7, Batch    181, Loss  0.871915, Average Loss  0.869646, Time  0.413924
2021-09-23 05:49:27.619480 : Epoch  7, Batch    182, Loss  0.877181, Average Loss  0.869668, Time  0.440058
2021-09-23 05:49:32.620923 : Epoch  7, Batch    183, Loss  0.857513, Average Loss  0.869556, Time  0.435818
2021-09-23 05:49:37.576905 : Epoch  7, Batch    184, Loss  0.873677, Average Loss  0.869568, Time  0.413148
2021-09-23 05:49:42.569006 : Epoch  7, Batch    185, Loss  0.868761, Average Loss  0.869520, Time  0.412850
2021-09-23 05:49:47.556026 : Epoch  7, Batch    186, Loss  0.849196, Average Loss  0.869381, Time  0.412862
2021-09-23 05:49:52.546809 : Epoch  7, Batch    187, Loss  0.866044, Average Loss  0.869275, Time  0.413183
2021-09-23 05:49:57.487942 : Epoch  7, Batch    188, Loss  0.873219, Average Loss  0.869281, Time  0.412763
2021-09-23 05:50:02.457972 : Epoch  7, Batch    189, Loss  0.863691, Average Loss  0.869240, Time  0.413294
2021-09-23 05:50:07.429894 : Epoch  7, Batch    190, Loss  0.860699, Average Loss  0.869239, Time  0.416016
2021-09-23 05:50:12.423772 : Epoch  7, Batch    191, Loss  0.874734, Average Loss  0.869352, Time  0.455812
2021-09-23 05:50:17.364007 : Epoch  7, Batch    192, Loss  0.866105, Average Loss  0.869364, Time  0.414063
2021-09-23 05:50:22.304782 : Epoch  7, Batch    193, Loss  0.863528, Average Loss  0.869350, Time  0.413841
2021-09-23 05:50:27.252992 : Epoch  7, Batch    194, Loss  0.868316, Average Loss  0.869330, Time  0.413366
2021-09-23 05:50:32.193850 : Epoch  7, Batch    195, Loss  0.867495, Average Loss  0.869313, Time  0.412925
2021-09-23 05:50:37.133770 : Epoch  7, Batch    196, Loss  0.873739, Average Loss  0.869284, Time  0.413246
2021-09-23 05:50:42.135516 : Epoch  7, Batch    197, Loss  0.865504, Average Loss  0.869329, Time  0.413455
2021-09-23 05:50:47.081971 : Epoch  7, Batch    198, Loss  0.877156, Average Loss  0.869355, Time  0.413000
2021-09-23 05:50:52.036971 : Epoch  7, Batch    199, Loss  0.880986, Average Loss  0.869416, Time  0.413188
2021-09-23 05:50:57.011141 : Epoch  7, Batch    200, Loss  0.876635, Average Loss  0.869479, Time  0.433329
2021-09-23 05:51:01.953977 : Epoch  7, Batch    201, Loss  0.852966, Average Loss  0.869405, Time  0.412735
2021-09-23 05:51:06.901603 : Epoch  7, Batch    202, Loss  0.868255, Average Loss  0.869415, Time  0.414458
2021-09-23 05:51:11.845957 : Epoch  7, Batch    203, Loss  0.866393, Average Loss  0.869469, Time  0.412843
2021-09-23 05:51:16.800917 : Epoch  7, Batch    204, Loss  0.881045, Average Loss  0.869487, Time  0.414289
2021-09-23 05:51:21.747724 : Epoch  7, Batch    205, Loss  0.869429, Average Loss  0.869470, Time  0.413253
2021-09-23 05:51:26.703802 : Epoch  7, Batch    206, Loss  0.871564, Average Loss  0.869438, Time  0.414155
2021-09-23 05:51:31.657710 : Epoch  7, Batch    207, Loss  0.861533, Average Loss  0.869405, Time  0.414118
2021-09-23 05:51:36.606965 : Epoch  7, Batch    208, Loss  0.872946, Average Loss  0.869433, Time  0.412977
2021-09-23 05:51:41.569724 : Epoch  7, Batch    209, Loss  0.868204, Average Loss  0.869446, Time  0.413362
2021-09-23 05:51:46.543767 : Epoch  7, Batch    210, Loss  0.874055, Average Loss  0.869465, Time  0.438058
2021-09-23 05:51:51.494058 : Epoch  7, Batch    211, Loss  0.882009, Average Loss  0.869503, Time  0.422933
2021-09-23 05:51:56.445059 : Epoch  7, Batch    212, Loss  0.860301, Average Loss  0.869513, Time  0.412969
2021-09-23 05:52:01.395727 : Epoch  7, Batch    213, Loss  0.868989, Average Loss  0.869551, Time  0.413745
2021-09-23 05:52:06.344777 : Epoch  7, Batch    214, Loss  0.874355, Average Loss  0.869493, Time  0.412957
2021-09-23 05:52:11.306748 : Epoch  7, Batch    215, Loss  0.868506, Average Loss  0.869457, Time  0.414829
2021-09-23 05:52:16.273966 : Epoch  7, Batch    216, Loss  0.849920, Average Loss  0.869316, Time  0.413615
2021-09-23 05:52:21.213830 : Epoch  7, Batch    217, Loss  0.864278, Average Loss  0.869355, Time  0.413564
2021-09-23 05:52:26.154109 : Epoch  7, Batch    218, Loss  0.877942, Average Loss  0.869401, Time  0.413622
2021-09-23 05:52:31.157779 : Epoch  7, Batch    219, Loss  0.866587, Average Loss  0.869391, Time  0.461441
2021-09-23 05:52:36.098936 : Epoch  7, Batch    220, Loss  0.860008, Average Loss  0.869383, Time  0.413016
2021-09-23 05:52:41.044959 : Epoch  7, Batch    221, Loss  0.852144, Average Loss  0.869272, Time  0.413212
2021-09-23 05:52:45.997940 : Epoch  7, Batch    222, Loss  0.861272, Average Loss  0.869259, Time  0.413002
2021-09-23 05:52:50.958738 : Epoch  7, Batch    223, Loss  0.878236, Average Loss  0.869303, Time  0.413271
2021-09-23 05:52:55.904733 : Epoch  7, Batch    224, Loss  0.864211, Average Loss  0.869278, Time  0.413459
2021-09-23 05:53:00.846706 : Epoch  7, Batch    225, Loss  0.864928, Average Loss  0.869248, Time  0.413248
2021-09-23 05:53:05.835950 : Epoch  7, Batch    226, Loss  0.871082, Average Loss  0.869161, Time  0.413342
2021-09-23 05:53:10.782912 : Epoch  7, Batch    227, Loss  0.857265, Average Loss  0.869094, Time  0.412951
2021-09-23 05:53:15.770930 : Epoch  7, Batch    228, Loss  0.878757, Average Loss  0.869127, Time  0.436162
2021-09-23 05:53:20.731926 : Epoch  7, Batch    229, Loss  0.866882, Average Loss  0.869151, Time  0.413603
2021-09-23 05:53:25.694821 : Epoch  7, Batch    230, Loss  0.868701, Average Loss  0.869147, Time  0.424345
2021-09-23 05:53:30.646716 : Epoch  7, Batch    231, Loss  0.863795, Average Loss  0.869126, Time  0.413367
2021-09-23 05:53:35.605988 : Epoch  7, Batch    232, Loss  0.878745, Average Loss  0.869190, Time  0.414148
2021-09-23 05:57:32.056722 : CheckPoint: Validation Loss  0.00015466, Best Loss  0.00014643
2021-09-23 05:57:37.009114 : Epoch  7, Batch    233, Loss  0.878643, Average Loss  0.869213, Time  0.414480
2021-09-23 05:57:41.993024 : Epoch  7, Batch    234, Loss  0.882275, Average Loss  0.869257, Time  0.413843
2021-09-23 05:57:46.954958 : Epoch  7, Batch    235, Loss  0.872123, Average Loss  0.869297, Time  0.412898
2021-09-23 05:57:51.931023 : Epoch  7, Batch    236, Loss  0.870341, Average Loss  0.869374, Time  0.423402
2021-09-23 05:57:56.927735 : Epoch  7, Batch    237, Loss  0.873134, Average Loss  0.869359, Time  0.449191
2021-09-23 05:58:01.887859 : Epoch  7, Batch    238, Loss  0.879899, Average Loss  0.869394, Time  0.413221
2021-09-23 05:58:06.852743 : Epoch  7, Batch    239, Loss  0.870055, Average Loss  0.869447, Time  0.413112
2021-09-23 05:58:11.811740 : Epoch  7, Batch    240, Loss  0.874351, Average Loss  0.869494, Time  0.413973
2021-09-23 05:58:16.770861 : Epoch  7, Batch    241, Loss  0.857925, Average Loss  0.869441, Time  0.414482
2021-09-23 05:58:21.739720 : Epoch  7, Batch    242, Loss  0.878130, Average Loss  0.869532, Time  0.413301
2021-09-23 05:58:26.772742 : Epoch  7, Batch    243, Loss  0.880298, Average Loss  0.869561, Time  0.436537
2021-09-23 05:58:31.734821 : Epoch  7, Batch    244, Loss  0.875691, Average Loss  0.869699, Time  0.413213
2021-09-23 05:58:36.699756 : Epoch  7, Batch    245, Loss  0.874902, Average Loss  0.869699, Time  0.413123
2021-09-23 05:58:41.712756 : Epoch  7, Batch    246, Loss  0.869967, Average Loss  0.869723, Time  0.462551
2021-09-23 05:58:46.662723 : Epoch  7, Batch    247, Loss  0.879319, Average Loss  0.869793, Time  0.412956
2021-09-23 05:58:51.616744 : Epoch  7, Batch    248, Loss  0.852495, Average Loss  0.869781, Time  0.414038
2021-09-23 05:58:56.581719 : Epoch  7, Batch    249, Loss  0.865399, Average Loss  0.869847, Time  0.412708
2021-09-23 05:59:01.545763 : Epoch  7, Batch    250, Loss  0.868456, Average Loss  0.869875, Time  0.418878
2021-09-23 05:59:06.510767 : Epoch  7, Batch    251, Loss  0.854551, Average Loss  0.869771, Time  0.413339
2021-09-23 05:59:11.482722 : Epoch  7, Batch    252, Loss  0.882250, Average Loss  0.869721, Time  0.414136
2021-09-23 05:59:16.459758 : Epoch  7, Batch    253, Loss  0.865686, Average Loss  0.869711, Time  0.413635
2021-09-23 05:59:21.418014 : Epoch  7, Batch    254, Loss  0.866854, Average Loss  0.869618, Time  0.413746
2021-09-23 05:59:26.390741 : Epoch  7, Batch    255, Loss  0.864678, Average Loss  0.869611, Time  0.415776
2021-09-23 05:59:31.414187 : Epoch  7, Batch    256, Loss  0.848382, Average Loss  0.869492, Time  0.461809
2021-09-23 05:59:36.397802 : Epoch  7, Batch    257, Loss  0.883068, Average Loss  0.869486, Time  0.423136
2021-09-23 05:59:41.347611 : Epoch  7, Batch    258, Loss  0.865857, Average Loss  0.869455, Time  0.413119
2021-09-23 05:59:46.300713 : Epoch  7, Batch    259, Loss  0.855760, Average Loss  0.869409, Time  0.413300
2021-09-23 05:59:51.232979 : Epoch  7, Batch    260, Loss  0.872016, Average Loss  0.869393, Time  0.413125
2021-09-23 05:59:56.179955 : Epoch  7, Batch    261, Loss  0.862578, Average Loss  0.869328, Time  0.413246
2021-09-23 06:00:01.138018 : Epoch  7, Batch    262, Loss  0.887341, Average Loss  0.869504, Time  0.413381
2021-09-23 06:00:06.100990 : Epoch  7, Batch    263, Loss  0.876381, Average Loss  0.869609, Time  0.413006
2021-09-23 06:00:11.096992 : Epoch  7, Batch    264, Loss  0.861724, Average Loss  0.869543, Time  0.414458
2021-09-23 06:00:16.083721 : Epoch  7, Batch    265, Loss  0.880042, Average Loss  0.869596, Time  0.460147
2021-09-23 06:00:21.046027 : Epoch  7, Batch    266, Loss  0.868261, Average Loss  0.869609, Time  0.413993
2021-09-23 06:00:26.004001 : Epoch  7, Batch    267, Loss  0.874035, Average Loss  0.869581, Time  0.413472
2021-09-23 06:00:30.977023 : Epoch  7, Batch    268, Loss  0.853170, Average Loss  0.869483, Time  0.414226
2021-09-23 06:00:35.931939 : Epoch  7, Batch    269, Loss  0.873751, Average Loss  0.869544, Time  0.413951
2021-09-23 06:00:40.903052 : Epoch  7, Batch    270, Loss  0.877301, Average Loss  0.869573, Time  0.413182
2021-09-23 06:00:45.912720 : Epoch  7, Batch    271, Loss  0.878134, Average Loss  0.869576, Time  0.412952
2021-09-23 06:00:50.875119 : Epoch  7, Batch    272, Loss  0.873741, Average Loss  0.869566, Time  0.413051
2021-09-23 06:00:55.838965 : Epoch  7, Batch    273, Loss  0.857338, Average Loss  0.869545, Time  0.412997
2021-09-23 06:01:00.833962 : Epoch  7, Batch    274, Loss  0.860169, Average Loss  0.869527, Time  0.452812
2021-09-23 06:01:05.835666 : Epoch  7, Batch    275, Loss  0.870144, Average Loss  0.869487, Time  0.413453
2021-09-23 06:01:10.808952 : Epoch  7, Batch    276, Loss  0.880377, Average Loss  0.869477, Time  0.413503
2021-09-23 06:01:15.791898 : Epoch  7, Batch    277, Loss  0.876278, Average Loss  0.869541, Time  0.414448
2021-09-23 06:01:20.757743 : Epoch  7, Batch    278, Loss  0.862842, Average Loss  0.869504, Time  0.413449
2021-09-23 06:01:25.728866 : Epoch  7, Batch    279, Loss  0.870292, Average Loss  0.869478, Time  0.413604
2021-09-23 06:01:30.683770 : Epoch  7, Batch    280, Loss  0.857160, Average Loss  0.869424, Time  0.413639
2021-09-23 06:01:35.659720 : Epoch  7, Batch    281, Loss  0.865572, Average Loss  0.869394, Time  0.413917
2021-09-23 06:01:40.628513 : Epoch  7, Batch    282, Loss  0.864641, Average Loss  0.869355, Time  0.413390
2021-09-23 06:01:45.582906 : Epoch  7, Batch    283, Loss  0.871664, Average Loss  0.869331, Time  0.413141
2021-09-23 06:01:50.574772 : Epoch  7, Batch    284, Loss  0.862261, Average Loss  0.869327, Time  0.448615
2021-09-23 06:01:55.527048 : Epoch  7, Batch    285, Loss  0.876092, Average Loss  0.869385, Time  0.413229
2021-09-23 06:02:00.482734 : Epoch  7, Batch    286, Loss  0.870397, Average Loss  0.869364, Time  0.413047
2021-09-23 06:02:05.425004 : Epoch  7, Batch    287, Loss  0.858774, Average Loss  0.869230, Time  0.413629
2021-09-23 06:02:10.375060 : Epoch  7, Batch    288, Loss  0.856535, Average Loss  0.869063, Time  0.416695
2021-09-23 06:02:15.315078 : Epoch  7, Batch    289, Loss  0.870826, Average Loss  0.869083, Time  0.413206
2021-09-23 06:02:20.274440 : Epoch  7, Batch    290, Loss  0.867679, Average Loss  0.869104, Time  0.414492
2021-09-23 06:02:25.225950 : Epoch  7, Batch    291, Loss  0.881715, Average Loss  0.869173, Time  0.413237
2021-09-23 06:02:30.185782 : Epoch  7, Batch    292, Loss  0.864327, Average Loss  0.869126, Time  0.413543
2021-09-23 06:02:35.184036 : Epoch  7, Batch    293, Loss  0.860869, Average Loss  0.869039, Time  0.460938
2021-09-23 06:02:40.131946 : Epoch  7, Batch    294, Loss  0.869833, Average Loss  0.869046, Time  0.413496
2021-09-23 06:02:45.084735 : Epoch  7, Batch    295, Loss  0.862639, Average Loss  0.869053, Time  0.413534
2021-09-23 06:02:50.031881 : Epoch  7, Batch    296, Loss  0.875440, Average Loss  0.869055, Time  0.413025
2021-09-23 06:02:54.993099 : Epoch  7, Batch    297, Loss  0.877191, Average Loss  0.869135, Time  0.413023
2021-09-23 06:02:59.937968 : Epoch  7, Batch    298, Loss  0.891681, Average Loss  0.869275, Time  0.412975
2021-09-23 06:03:04.899885 : Epoch  7, Batch    299, Loss  0.885271, Average Loss  0.869256, Time  0.413070
2021-09-23 06:03:09.858172 : Epoch  7, Batch    300, Loss  0.876552, Average Loss  0.869318, Time  0.413377
2021-09-23 06:03:14.814751 : Epoch  7, Batch    301, Loss  0.861790, Average Loss  0.869261, Time  0.413146
2021-09-23 06:03:19.808981 : Epoch  7, Batch    302, Loss  0.869075, Average Loss  0.869268, Time  0.467706
2021-09-23 06:03:24.766009 : Epoch  7, Batch    303, Loss  0.881749, Average Loss  0.869318, Time  0.416475
2021-09-23 06:03:29.734814 : Epoch  7, Batch    304, Loss  0.872431, Average Loss  0.869352, Time  0.413626
2021-09-23 06:03:34.683076 : Epoch  7, Batch    305, Loss  0.864965, Average Loss  0.869319, Time  0.413663
2021-09-23 06:03:39.622074 : Epoch  7, Batch    306, Loss  0.863819, Average Loss  0.869340, Time  0.413520
2021-09-23 06:03:44.586690 : Epoch  7, Batch    307, Loss  0.862023, Average Loss  0.869385, Time  0.413661
2021-09-23 06:03:49.543091 : Epoch  7, Batch    308, Loss  0.857345, Average Loss  0.869243, Time  0.412836
2021-09-23 06:03:54.538777 : Epoch  7, Batch    309, Loss  0.857828, Average Loss  0.869184, Time  0.413313
2021-09-23 06:03:59.516758 : Epoch  7, Batch    310, Loss  0.875876, Average Loss  0.869250, Time  0.413106
2021-09-23 06:04:04.465006 : Epoch  7, Batch    311, Loss  0.861788, Average Loss  0.869198, Time  0.412979
2021-09-23 06:04:09.455724 : Epoch  7, Batch    312, Loss  0.864905, Average Loss  0.869205, Time  0.449866
2021-09-23 06:04:14.407995 : Epoch  7, Batch    313, Loss  0.863894, Average Loss  0.869230, Time  0.413504
2021-09-23 06:04:19.356969 : Epoch  7, Batch    314, Loss  0.876288, Average Loss  0.869314, Time  0.413090
2021-09-23 06:04:24.322974 : Epoch  7, Batch    315, Loss  0.863537, Average Loss  0.869300, Time  0.413350
2021-09-23 06:04:29.290028 : Epoch  7, Batch    316, Loss  0.875346, Average Loss  0.869283, Time  0.414519
2021-09-23 06:04:34.247027 : Epoch  7, Batch    317, Loss  0.861883, Average Loss  0.869273, Time  0.413707
2021-09-23 06:04:39.211024 : Epoch  7, Batch    318, Loss  0.865259, Average Loss  0.869238, Time  0.414281
2021-09-23 06:04:44.176172 : Epoch  7, Batch    319, Loss  0.858639, Average Loss  0.869190, Time  0.414122
2021-09-23 06:04:49.131119 : Epoch  7, Batch    320, Loss  0.874663, Average Loss  0.869246, Time  0.413601
2021-09-23 06:04:54.124742 : Epoch  7, Batch    321, Loss  0.857123, Average Loss  0.869170, Time  0.453594
2021-09-23 06:04:59.087016 : Epoch  7, Batch    322, Loss  0.869697, Average Loss  0.869149, Time  0.412965
2021-09-23 06:05:04.056958 : Epoch  7, Batch    323, Loss  0.865604, Average Loss  0.869109, Time  0.423989
2021-09-23 06:05:09.035766 : Epoch  7, Batch    324, Loss  0.861512, Average Loss  0.869121, Time  0.413248
2021-09-23 06:05:13.999002 : Epoch  7, Batch    325, Loss  0.864811, Average Loss  0.869126, Time  0.413014
2021-09-23 06:05:18.954635 : Epoch  7, Batch    326, Loss  0.882857, Average Loss  0.869182, Time  0.413405
2021-09-23 06:05:23.906025 : Epoch  7, Batch    327, Loss  0.874694, Average Loss  0.869123, Time  0.412867
2021-09-23 06:05:28.869047 : Epoch  7, Batch    328, Loss  0.871787, Average Loss  0.869133, Time  0.413872
2021-09-23 06:05:33.829919 : Epoch  7, Batch    329, Loss  0.866300, Average Loss  0.869135, Time  0.413964
2021-09-23 06:05:38.837828 : Epoch  7, Batch    330, Loss  0.881392, Average Loss  0.869225, Time  0.452889
2021-09-23 06:05:43.793012 : Epoch  7, Batch    331, Loss  0.878374, Average Loss  0.869229, Time  0.413342
2021-09-23 06:05:48.752934 : Epoch  7, Batch    332, Loss  0.875447, Average Loss  0.869245, Time  0.414202
2021-09-23 06:09:45.342739 : CheckPoint: Validation Loss  0.00015273, Best Loss  0.00014643
2021-09-23 06:09:50.296073 : Epoch  7, Batch    333, Loss  0.882356, Average Loss  0.869304, Time  0.414051
2021-09-23 06:09:55.235871 : Epoch  7, Batch    334, Loss  0.857042, Average Loss  0.869270, Time  0.413026
2021-09-23 06:10:00.191719 : Epoch  7, Batch    335, Loss  0.868320, Average Loss  0.869248, Time  0.412793
2021-09-23 06:10:05.137844 : Epoch  7, Batch    336, Loss  0.859020, Average Loss  0.869190, Time  0.413569
2021-09-23 06:10:10.088868 : Epoch  7, Batch    337, Loss  0.863409, Average Loss  0.869223, Time  0.413286
2021-09-23 06:10:15.041753 : Epoch  7, Batch    338, Loss  0.891512, Average Loss  0.869372, Time  0.413186
2021-09-23 06:10:20.051764 : Epoch  7, Batch    339, Loss  0.864447, Average Loss  0.869363, Time  0.469243
2021-09-23 06:10:25.000109 : Epoch  7, Batch    340, Loss  0.870851, Average Loss  0.869352, Time  0.414696
2021-09-23 06:10:29.962047 : Epoch  7, Batch    341, Loss  0.881190, Average Loss  0.869447, Time  0.414335
2021-09-23 06:10:34.901044 : Epoch  7, Batch    342, Loss  0.856348, Average Loss  0.869395, Time  0.413113
2021-09-23 06:10:39.854928 : Epoch  7, Batch    343, Loss  0.873489, Average Loss  0.869330, Time  0.414238
2021-09-23 06:10:44.795056 : Epoch  7, Batch    344, Loss  0.864693, Average Loss  0.869239, Time  0.413003
2021-09-23 06:10:49.732938 : Epoch  7, Batch    345, Loss  0.879716, Average Loss  0.869278, Time  0.412752
2021-09-23 06:10:54.662352 : Epoch  7, Batch    346, Loss  0.869660, Average Loss  0.869297, Time  0.413205
2021-09-23 06:10:59.597705 : Epoch  7, Batch    347, Loss  0.884838, Average Loss  0.869378, Time  0.412862
2021-09-23 06:11:04.551032 : Epoch  7, Batch    348, Loss  0.873038, Average Loss  0.869407, Time  0.413316
2021-09-23 06:11:09.532814 : Epoch  7, Batch    349, Loss  0.866863, Average Loss  0.869378, Time  0.452596
2021-09-23 06:11:14.475621 : Epoch  7, Batch    350, Loss  0.869524, Average Loss  0.869353, Time  0.412888
2021-09-23 06:11:19.421028 : Epoch  7, Batch    351, Loss  0.863433, Average Loss  0.869346, Time  0.423223
2021-09-23 06:11:24.358006 : Epoch  7, Batch    352, Loss  0.878625, Average Loss  0.869359, Time  0.413933
2021-09-23 06:11:29.312726 : Epoch  7, Batch    353, Loss  0.873563, Average Loss  0.869358, Time  0.413321
2021-09-23 06:11:34.260132 : Epoch  7, Batch    354, Loss  0.875112, Average Loss  0.869367, Time  0.413537
2021-09-23 06:11:39.203966 : Epoch  7, Batch    355, Loss  0.878059, Average Loss  0.869368, Time  0.413153
2021-09-23 06:11:44.158950 : Epoch  7, Batch    356, Loss  0.876378, Average Loss  0.869375, Time  0.414021
2021-09-23 06:11:49.103025 : Epoch  7, Batch    357, Loss  0.878089, Average Loss  0.869452, Time  0.413147
2021-09-23 06:11:54.090760 : Epoch  7, Batch    358, Loss  0.868457, Average Loss  0.869480, Time  0.449214
2021-09-23 06:11:59.045178 : Epoch  7, Batch    359, Loss  0.874688, Average Loss  0.869518, Time  0.413332
2021-09-23 06:12:04.000886 : Epoch  7, Batch    360, Loss  0.875973, Average Loss  0.869591, Time  0.413360
2021-09-23 06:12:08.959770 : Epoch  7, Batch    361, Loss  0.866855, Average Loss  0.869503, Time  0.413443
2021-09-23 06:12:13.914442 : Epoch  7, Batch    362, Loss  0.885284, Average Loss  0.869572, Time  0.412985
2021-09-23 06:12:18.881257 : Epoch  7, Batch    363, Loss  0.867813, Average Loss  0.869544, Time  0.413166
2021-09-23 06:12:23.829999 : Epoch  7, Batch    364, Loss  0.874424, Average Loss  0.869623, Time  0.413270
2021-09-23 06:12:28.784986 : Epoch  7, Batch    365, Loss  0.856337, Average Loss  0.869546, Time  0.414293
2021-09-23 06:12:33.748010 : Epoch  7, Batch    366, Loss  0.853936, Average Loss  0.869521, Time  0.413840
2021-09-23 06:12:38.693886 : Epoch  7, Batch    367, Loss  0.879903, Average Loss  0.869523, Time  0.413530
2021-09-23 06:12:43.715039 : Epoch  7, Batch    368, Loss  0.847945, Average Loss  0.869403, Time  0.463872
2021-09-23 06:12:48.667962 : Epoch  7, Batch    369, Loss  0.877180, Average Loss  0.869438, Time  0.415538
2021-09-23 06:12:53.610770 : Epoch  7, Batch    370, Loss  0.874679, Average Loss  0.869502, Time  0.416991
2021-09-23 06:12:58.563708 : Epoch  7, Batch    371, Loss  0.858365, Average Loss  0.869484, Time  0.413260
2021-09-23 06:13:03.498929 : Epoch  7, Batch    372, Loss  0.877965, Average Loss  0.869493, Time  0.412808
2021-09-23 06:13:08.457751 : Epoch  7, Batch    373, Loss  0.869557, Average Loss  0.869540, Time  0.413416
2021-09-23 06:13:13.406028 : Epoch  7, Batch    374, Loss  0.881942, Average Loss  0.869591, Time  0.413073
2021-09-23 06:13:18.362706 : Epoch  7, Batch    375, Loss  0.868915, Average Loss  0.869558, Time  0.413149
2021-09-23 06:13:23.305031 : Epoch  7, Batch    376, Loss  0.869639, Average Loss  0.869519, Time  0.412855
2021-09-23 06:13:28.311094 : Epoch  7, Batch    377, Loss  0.857284, Average Loss  0.869478, Time  0.452065
2021-09-23 06:13:33.258027 : Epoch  7, Batch    378, Loss  0.875179, Average Loss  0.869481, Time  0.413399
2021-09-23 06:13:38.212041 : Epoch  7, Batch    379, Loss  0.854956, Average Loss  0.869412, Time  0.413822
2021-09-23 06:13:43.153921 : Epoch  7, Batch    380, Loss  0.871033, Average Loss  0.869428, Time  0.413631
2021-09-23 06:13:48.110778 : Epoch  7, Batch    381, Loss  0.866870, Average Loss  0.869402, Time  0.413963
2021-09-23 06:13:53.063471 : Epoch  7, Batch    382, Loss  0.859737, Average Loss  0.869315, Time  0.413429
2021-09-23 06:13:58.014516 : Epoch  7, Batch    383, Loss  0.856149, Average Loss  0.869308, Time  0.413921
2021-09-23 06:14:02.985732 : Epoch  7, Batch    384, Loss  0.868180, Average Loss  0.869281, Time  0.413057
2021-09-23 06:14:07.922047 : Epoch  7, Batch    385, Loss  0.881776, Average Loss  0.869346, Time  0.413696
2021-09-23 06:14:12.928925 : Epoch  7, Batch    386, Loss  0.871486, Average Loss  0.869457, Time  0.464370
2021-09-23 06:14:17.890744 : Epoch  7, Batch    387, Loss  0.870573, Average Loss  0.869480, Time  0.419691
2021-09-23 06:14:22.839729 : Epoch  7, Batch    388, Loss  0.878964, Average Loss  0.869509, Time  0.413272
2021-09-23 06:14:27.776572 : Epoch  7, Batch    389, Loss  0.857546, Average Loss  0.869478, Time  0.412924
2021-09-23 06:14:32.737924 : Epoch  7, Batch    390, Loss  0.871178, Average Loss  0.869530, Time  0.413976
2021-09-23 06:14:37.693731 : Epoch  7, Batch    391, Loss  0.886849, Average Loss  0.869591, Time  0.413474
2021-09-23 06:14:42.682862 : Epoch  7, Batch    392, Loss  0.879926, Average Loss  0.869660, Time  0.413806
2021-09-23 06:14:47.631971 : Epoch  7, Batch    393, Loss  0.868353, Average Loss  0.869684, Time  0.413502
2021-09-23 06:14:52.593947 : Epoch  7, Batch    394, Loss  0.868726, Average Loss  0.869686, Time  0.413880
2021-09-23 06:14:57.543038 : Epoch  7, Batch    395, Loss  0.866497, Average Loss  0.869681, Time  0.413284
2021-09-23 06:15:02.536862 : Epoch  7, Batch    396, Loss  0.864148, Average Loss  0.869633, Time  0.455294
2021-09-23 06:15:07.493715 : Epoch  7, Batch    397, Loss  0.864180, Average Loss  0.869627, Time  0.413219
2021-09-23 06:15:12.440766 : Epoch  7, Batch    398, Loss  0.880195, Average Loss  0.869642, Time  0.413042
2021-09-23 06:15:17.396722 : Epoch  7, Batch    399, Loss  0.874413, Average Loss  0.869609, Time  0.414572
2021-09-23 06:15:22.348922 : Epoch  7, Batch    400, Loss  0.871799, Average Loss  0.869585, Time  0.412978
2021-09-23 06:15:27.300768 : Epoch  7, Batch    401, Loss  0.867794, Average Loss  0.869659, Time  0.413222
2021-09-23 06:15:32.268956 : Epoch  7, Batch    402, Loss  0.860226, Average Loss  0.869619, Time  0.413152
2021-09-23 06:15:37.225010 : Epoch  7, Batch    403, Loss  0.852698, Average Loss  0.869550, Time  0.414336
2021-09-23 06:15:42.186006 : Epoch  7, Batch    404, Loss  0.865218, Average Loss  0.869471, Time  0.413233
2021-09-23 06:15:47.191789 : Epoch  7, Batch    405, Loss  0.878852, Average Loss  0.869518, Time  0.464469
2021-09-23 06:15:52.145026 : Epoch  7, Batch    406, Loss  0.876493, Average Loss  0.869543, Time  0.420275
2021-09-23 06:15:57.105963 : Epoch  7, Batch    407, Loss  0.898219, Average Loss  0.869726, Time  0.413908
2021-09-23 06:16:02.065986 : Epoch  7, Batch    408, Loss  0.877241, Average Loss  0.869748, Time  0.415462
2021-09-23 06:16:07.014948 : Epoch  7, Batch    409, Loss  0.869265, Average Loss  0.869753, Time  0.413059
2021-09-23 06:16:11.970871 : Epoch  7, Batch    410, Loss  0.871445, Average Loss  0.869740, Time  0.413094
2021-09-23 06:16:16.922918 : Epoch  7, Batch    411, Loss  0.867517, Average Loss  0.869668, Time  0.413271
2021-09-23 06:16:21.861013 : Epoch  7, Batch    412, Loss  0.873162, Average Loss  0.869732, Time  0.412923
2021-09-23 06:16:26.905510 : Epoch  7, Batch    413, Loss  0.869885, Average Loss  0.869736, Time  0.413203
2021-09-23 06:16:31.890801 : Epoch  7, Batch    414, Loss  0.879780, Average Loss  0.869764, Time  0.461575
2021-09-23 06:16:36.842054 : Epoch  7, Batch    415, Loss  0.855374, Average Loss  0.869698, Time  0.417897
2021-09-23 06:16:41.846944 : Epoch  7, Batch    416, Loss  0.878399, Average Loss  0.869840, Time  0.414346
2021-09-23 06:16:46.784052 : Epoch  7, Batch    417, Loss  0.864455, Average Loss  0.869841, Time  0.413958
2021-09-23 06:16:51.740014 : Epoch  7, Batch    418, Loss  0.863233, Average Loss  0.869768, Time  0.413472
2021-09-23 06:16:56.678198 : Epoch  7, Batch    419, Loss  0.861633, Average Loss  0.869743, Time  0.414644
2021-09-23 06:17:01.630398 : Epoch  7, Batch    420, Loss  0.876686, Average Loss  0.869826, Time  0.413165
2021-09-23 06:17:06.577166 : Epoch  7, Batch    421, Loss  0.861767, Average Loss  0.869874, Time  0.413208
2021-09-23 06:17:11.529724 : Epoch  7, Batch    422, Loss  0.871554, Average Loss  0.869926, Time  0.412969
2021-09-23 06:17:16.485732 : Epoch  7, Batch    423, Loss  0.868427, Average Loss  0.869877, Time  0.412814
2021-09-23 06:17:21.468060 : Epoch  7, Batch    424, Loss  0.873484, Average Loss  0.869923, Time  0.457929
2021-09-23 06:17:26.418066 : Epoch  7, Batch    425, Loss  0.894011, Average Loss  0.870068, Time  0.413095
2021-09-23 06:17:31.358378 : Epoch  7, Batch    426, Loss  0.864121, Average Loss  0.870034, Time  0.412914
2021-09-23 06:17:36.300713 : Epoch  7, Batch    427, Loss  0.851359, Average Loss  0.870004, Time  0.413424
2021-09-23 06:17:41.249857 : Epoch  7, Batch    428, Loss  0.873180, Average Loss  0.869976, Time  0.414942
2021-09-23 06:17:46.226765 : Epoch  7, Batch    429, Loss  0.867157, Average Loss  0.869978, Time  0.414399
2021-09-23 06:17:51.163090 : Epoch  7, Batch    430, Loss  0.876370, Average Loss  0.870016, Time  0.413668
2021-09-23 06:17:56.113033 : Epoch  7, Batch    431, Loss  0.875143, Average Loss  0.870073, Time  0.413398
2021-09-23 06:18:09.863147 : Epoch  7, Batch    432, Loss  0.863425, Average Loss  0.869996, Time  0.453738
2021-09-23 06:22:03.803725 : CheckPoint: Validation Loss  0.00015394, Best Loss  0.00014643
2021-09-23 06:22:08.760095 : Epoch  7, Batch    433, Loss  0.888155, Average Loss  0.870044, Time  0.420037
2021-09-23 06:22:13.706949 : Epoch  7, Batch    434, Loss  0.853343, Average Loss  0.869899, Time  0.412966
2021-09-23 06:22:18.656972 : Epoch  7, Batch    435, Loss  0.876555, Average Loss  0.869921, Time  0.412948
2021-09-23 06:22:23.605339 : Epoch  7, Batch    436, Loss  0.869466, Average Loss  0.869917, Time  0.413048
2021-09-23 06:22:28.583944 : Epoch  7, Batch    437, Loss  0.883349, Average Loss  0.869968, Time  0.413018
2021-09-23 06:22:33.540014 : Epoch  7, Batch    438, Loss  0.869008, Average Loss  0.869913, Time  0.414530
2021-09-23 06:22:38.506963 : Epoch  7, Batch    439, Loss  0.858926, Average Loss  0.869858, Time  0.413240
2021-09-23 06:22:43.469101 : Epoch  7, Batch    440, Loss  0.882263, Average Loss  0.869897, Time  0.424103
2021-09-23 06:22:48.455758 : Epoch  7, Batch    441, Loss  0.867673, Average Loss  0.869946, Time  0.456925
2021-09-23 06:22:53.412075 : Epoch  7, Batch    442, Loss  0.873336, Average Loss  0.869922, Time  0.413242
2021-09-23 06:22:58.357749 : Epoch  7, Batch    443, Loss  0.869820, Average Loss  0.869870, Time  0.413325
2021-09-23 06:23:03.304717 : Epoch  7, Batch    444, Loss  0.872015, Average Loss  0.869851, Time  0.412967
2021-09-23 06:23:08.284007 : Epoch  7, Batch    445, Loss  0.870151, Average Loss  0.869828, Time  0.413327
2021-09-23 06:23:13.225731 : Epoch  7, Batch    446, Loss  0.863077, Average Loss  0.869793, Time  0.413030
2021-09-23 06:23:18.174745 : Epoch  7, Batch    447, Loss  0.856024, Average Loss  0.869677, Time  0.412760
2021-09-23 06:23:23.125826 : Epoch  7, Batch    448, Loss  0.866776, Average Loss  0.869748, Time  0.413424
2021-09-23 06:23:28.091910 : Epoch  7, Batch    449, Loss  0.876903, Average Loss  0.869806, Time  0.412805
2021-09-23 06:23:33.089018 : Epoch  7, Batch    450, Loss  0.855289, Average Loss  0.869740, Time  0.466623
2021-09-23 06:23:38.041121 : Epoch  7, Batch    451, Loss  0.864400, Average Loss  0.869789, Time  0.416908
2021-09-23 06:23:42.988033 : Epoch  7, Batch    452, Loss  0.884787, Average Loss  0.869802, Time  0.413714
2021-09-23 06:23:47.937064 : Epoch  7, Batch    453, Loss  0.863815, Average Loss  0.869792, Time  0.414874
2021-09-23 06:23:52.920003 : Epoch  7, Batch    454, Loss  0.871768, Average Loss  0.869817, Time  0.413865
2021-09-23 06:23:57.880015 : Epoch  7, Batch    455, Loss  0.848454, Average Loss  0.869736, Time  0.413054
2021-09-23 06:24:02.830044 : Epoch  7, Batch    456, Loss  0.877750, Average Loss  0.869883, Time  0.413259
2021-09-23 06:24:07.818759 : Epoch  7, Batch    457, Loss  0.861420, Average Loss  0.869774, Time  0.415779
2021-09-23 06:24:12.766961 : Epoch  7, Batch    458, Loss  0.870683, Average Loss  0.869799, Time  0.413252
2021-09-23 06:24:17.704744 : Epoch  7, Batch    459, Loss  0.861232, Average Loss  0.869826, Time  0.413221
2021-09-23 06:24:22.692972 : Epoch  7, Batch    460, Loss  0.871016, Average Loss  0.869821, Time  0.459185
2021-09-23 06:24:27.682836 : Epoch  7, Batch    461, Loss  0.883382, Average Loss  0.869925, Time  0.413517
2021-09-23 06:24:32.637021 : Epoch  7, Batch    462, Loss  0.878515, Average Loss  0.869881, Time  0.413404
2021-09-23 06:24:37.641923 : Epoch  7, Batch    463, Loss  0.871013, Average Loss  0.869854, Time  0.412889
2021-09-23 06:24:42.596117 : Epoch  7, Batch    464, Loss  0.862706, Average Loss  0.869859, Time  0.414688
2021-09-23 06:24:47.540812 : Epoch  7, Batch    465, Loss  0.879414, Average Loss  0.869856, Time  0.414870
2021-09-23 06:24:52.497728 : Epoch  7, Batch    466, Loss  0.872296, Average Loss  0.869876, Time  0.421520
2021-09-23 06:24:57.459823 : Epoch  7, Batch    467, Loss  0.874910, Average Loss  0.869880, Time  0.414307
2021-09-23 06:25:02.424727 : Epoch  7, Batch    468, Loss  0.876863, Average Loss  0.869999, Time  0.413004
2021-09-23 06:25:07.419830 : Epoch  7, Batch    469, Loss  0.863056, Average Loss  0.869945, Time  0.455222
2021-09-23 06:25:12.365058 : Epoch  7, Batch    470, Loss  0.860299, Average Loss  0.869860, Time  0.413044
2021-09-23 06:25:17.320808 : Epoch  7, Batch    471, Loss  0.882009, Average Loss  0.869880, Time  0.413011
2021-09-23 06:25:22.270108 : Epoch  7, Batch    472, Loss  0.869024, Average Loss  0.869856, Time  0.413371
2021-09-23 06:25:27.218901 : Epoch  7, Batch    473, Loss  0.887493, Average Loss  0.870007, Time  0.412856
2021-09-23 06:25:32.165059 : Epoch  7, Batch    474, Loss  0.876083, Average Loss  0.870086, Time  0.413202
2021-09-23 06:25:38.557008 : Epoch  7, Batch    475, Loss  0.868305, Average Loss  0.870077, Time  0.413250
2021-09-23 06:25:44.965747 : Epoch  7, Batch    476, Loss  0.875627, Average Loss  0.870053, Time  0.414692
2021-09-23 06:25:51.597745 : Epoch  7, Batch    477, Loss  0.872211, Average Loss  0.870033, Time  0.457922
2021-09-23 06:25:58.498365 : Epoch  7, Batch    478, Loss  0.875674, Average Loss  0.870097, Time  0.414383
2021-09-23 06:26:03.548729 : Epoch  7, Batch    479, Loss  0.864762, Average Loss  0.870070, Time  0.413314
2021-09-23 06:26:08.550383 : Epoch  7, Batch    480, Loss  0.882209, Average Loss  0.870195, Time  0.414338
2021-09-23 06:26:13.520758 : Epoch  7, Batch    481, Loss  0.871660, Average Loss  0.870225, Time  0.413208
2021-09-23 06:26:18.471742 : Epoch  7, Batch    482, Loss  0.872572, Average Loss  0.870265, Time  0.414361
2021-09-23 06:26:23.437995 : Epoch  7, Batch    483, Loss  0.869181, Average Loss  0.870253, Time  0.413450
2021-09-23 06:26:28.385906 : Epoch  7, Batch    484, Loss  0.872935, Average Loss  0.870306, Time  0.413181
2021-09-23 06:26:33.338724 : Epoch  7, Batch    485, Loss  0.866965, Average Loss  0.870260, Time  0.412808
2021-09-23 06:26:38.330845 : Epoch  7, Batch    486, Loss  0.864435, Average Loss  0.870230, Time  0.452551
2021-09-23 06:26:43.291737 : Epoch  7, Batch    487, Loss  0.855085, Average Loss  0.870212, Time  0.413032
2021-09-23 06:26:48.242887 : Epoch  7, Batch    488, Loss  0.867378, Average Loss  0.870266, Time  0.414204
2021-09-23 06:26:53.190720 : Epoch  7, Batch    489, Loss  0.871643, Average Loss  0.870270, Time  0.413825
2021-09-23 06:26:58.159363 : Epoch  7, Batch    490, Loss  0.866373, Average Loss  0.870264, Time  0.413452
2021-09-23 06:27:03.115848 : Epoch  7, Batch    491, Loss  0.866035, Average Loss  0.870185, Time  0.414335
2021-09-23 06:27:08.086995 : Epoch  7, Batch    492, Loss  0.851855, Average Loss  0.870123, Time  0.413351
2021-09-23 06:27:13.039068 : Epoch  7, Batch    493, Loss  0.866133, Average Loss  0.870149, Time  0.413567
2021-09-23 06:27:18.006052 : Epoch  7, Batch    494, Loss  0.846232, Average Loss  0.870031, Time  0.413436
2021-09-23 06:27:23.013727 : Epoch  7, Batch    495, Loss  0.874033, Average Loss  0.870088, Time  0.456975
2021-09-23 06:27:27.970855 : Epoch  7, Batch    496, Loss  0.855922, Average Loss  0.869991, Time  0.413131
2021-09-23 06:27:32.911983 : Epoch  7, Batch    497, Loss  0.858914, Average Loss  0.869899, Time  0.413005
2021-09-23 06:27:37.855045 : Epoch  7, Batch    498, Loss  0.871191, Average Loss  0.869797, Time  0.413201
2021-09-23 06:27:42.920739 : Epoch  7, Batch    499, Loss  0.855345, Average Loss  0.869647, Time  0.413278
2021-09-23 06:27:47.909041 : Epoch  7, Batch    500, Loss  0.857910, Average Loss  0.869554, Time  0.413036
2021-09-23 06:27:52.866894 : Epoch  7, Batch    501, Loss  0.861656, Average Loss  0.869553, Time  0.413136
2021-09-23 06:27:57.828766 : Epoch  7, Batch    502, Loss  0.877567, Average Loss  0.869596, Time  0.414029
2021-09-23 06:28:02.786911 : Epoch  7, Batch    503, Loss  0.874393, Average Loss  0.869559, Time  0.413917
2021-09-23 06:28:07.743975 : Epoch  7, Batch    504, Loss  0.866956, Average Loss  0.869532, Time  0.413396
2021-09-23 06:28:12.813754 : Epoch  7, Batch    505, Loss  0.859250, Average Loss  0.869503, Time  0.465185
2021-09-23 06:28:17.851091 : Epoch  7, Batch    506, Loss  0.858187, Average Loss  0.869475, Time  0.415397
2021-09-23 06:28:22.820023 : Epoch  7, Batch    507, Loss  0.867142, Average Loss  0.869501, Time  0.413668
2021-09-23 06:28:27.774756 : Epoch  7, Batch    508, Loss  0.882518, Average Loss  0.869626, Time  0.413249
2021-09-23 06:28:32.730823 : Epoch  7, Batch    509, Loss  0.865244, Average Loss  0.869663, Time  0.413084
2021-09-23 06:28:37.667276 : Epoch  7, Batch    510, Loss  0.875862, Average Loss  0.869663, Time  0.413686
2021-09-23 06:28:42.618008 : Epoch  7, Batch    511, Loss  0.883913, Average Loss  0.869774, Time  0.412895
2021-09-23 06:28:47.571803 : Epoch  7, Batch    512, Loss  0.872005, Average Loss  0.869810, Time  0.412971
2021-09-23 06:28:52.523903 : Epoch  7, Batch    513, Loss  0.874223, Average Loss  0.869861, Time  0.413338
2021-09-23 06:28:57.526974 : Epoch  7, Batch    514, Loss  0.874695, Average Loss  0.869853, Time  0.466335
2021-09-23 06:29:02.474751 : Epoch  7, Batch    515, Loss  0.876158, Average Loss  0.869916, Time  0.416747
2021-09-23 06:29:07.427039 : Epoch  7, Batch    516, Loss  0.869410, Average Loss  0.869887, Time  0.414156
2021-09-23 06:29:12.370032 : Epoch  7, Batch    517, Loss  0.867660, Average Loss  0.869916, Time  0.413080
2021-09-23 06:29:17.316727 : Epoch  7, Batch    518, Loss  0.875061, Average Loss  0.869965, Time  0.414076
2021-09-23 06:29:22.261987 : Epoch  7, Batch    519, Loss  0.879349, Average Loss  0.870068, Time  0.412951
2021-09-23 06:29:27.210990 : Epoch  7, Batch    520, Loss  0.884717, Average Loss  0.870118, Time  0.413380
2021-09-23 06:29:32.167716 : Epoch  7, Batch    521, Loss  0.875801, Average Loss  0.870212, Time  0.412977
2021-09-23 06:29:37.103047 : Epoch  7, Batch    522, Loss  0.876209, Average Loss  0.870244, Time  0.413157
2021-09-23 06:29:42.091718 : Epoch  7, Batch    523, Loss  0.862884, Average Loss  0.870231, Time  0.458870
2021-09-23 06:29:47.026814 : Epoch  7, Batch    524, Loss  0.876778, Average Loss  0.870307, Time  0.412842
2021-09-23 06:29:51.963732 : Epoch  7, Batch    525, Loss  0.873890, Average Loss  0.870352, Time  0.413229
2021-09-23 06:29:56.899073 : Epoch  7, Batch    526, Loss  0.869244, Average Loss  0.870284, Time  0.412910
2021-09-23 06:30:01.868991 : Epoch  7, Batch    527, Loss  0.871299, Average Loss  0.870267, Time  0.414546
2021-09-23 06:30:06.832719 : Epoch  7, Batch    528, Loss  0.858950, Average Loss  0.870203, Time  0.416115
2021-09-23 06:30:11.783051 : Epoch  7, Batch    529, Loss  0.870970, Average Loss  0.870227, Time  0.414083
2021-09-23 06:30:16.723715 : Epoch  7, Batch    530, Loss  0.873755, Average Loss  0.870188, Time  0.413792
2021-09-23 06:30:21.690718 : Epoch  7, Batch    531, Loss  0.864581, Average Loss  0.870119, Time  0.413405
2021-09-23 06:30:26.654616 : Epoch  7, Batch    532, Loss  0.869067, Average Loss  0.870087, Time  0.413527
2021-09-23 06:34:23.590175 : CheckPoint: Validation Loss  0.00014988, Best Loss  0.00014643
2021-09-23 06:34:28.559798 : Epoch  7, Batch    533, Loss  0.857622, Average Loss  0.869964, Time  0.434398
2021-09-23 06:34:33.518043 : Epoch  7, Batch    534, Loss  0.879528, Average Loss  0.870076, Time  0.413113
2021-09-23 06:34:38.462741 : Epoch  7, Batch    535, Loss  0.844687, Average Loss  0.869958, Time  0.413667
2021-09-23 06:34:43.417994 : Epoch  7, Batch    536, Loss  0.866595, Average Loss  0.869996, Time  0.412850
2021-09-23 06:34:48.362994 : Epoch  7, Batch    537, Loss  0.848225, Average Loss  0.869920, Time  0.413111
2021-09-23 06:34:53.310730 : Epoch  7, Batch    538, Loss  0.876557, Average Loss  0.869845, Time  0.413085
2021-09-23 06:34:58.257945 : Epoch  7, Batch    539, Loss  0.887723, Average Loss  0.869962, Time  0.414025
2021-09-23 06:35:03.217170 : Epoch  7, Batch    540, Loss  0.869810, Average Loss  0.869956, Time  0.416168
2021-09-23 06:35:08.184014 : Epoch  7, Batch    541, Loss  0.890398, Average Loss  0.870002, Time  0.413089
2021-09-23 06:35:13.182030 : Epoch  7, Batch    542, Loss  0.855789, Average Loss  0.870000, Time  0.452719
2021-09-23 06:35:18.151983 : Epoch  7, Batch    543, Loss  0.866052, Average Loss  0.869962, Time  0.413030
2021-09-23 06:35:23.106765 : Epoch  7, Batch    544, Loss  0.875129, Average Loss  0.870015, Time  0.413333
2021-09-23 06:35:28.060720 : Epoch  7, Batch    545, Loss  0.889743, Average Loss  0.870065, Time  0.413052
2021-09-23 06:35:33.010788 : Epoch  7, Batch    546, Loss  0.867702, Average Loss  0.870055, Time  0.412982
2021-09-23 06:35:37.951998 : Epoch  7, Batch    547, Loss  0.857941, Average Loss  0.869921, Time  0.413066
2021-09-23 06:35:42.893780 : Epoch  7, Batch    548, Loss  0.870448, Average Loss  0.869908, Time  0.412888
2021-09-23 06:35:47.852793 : Epoch  7, Batch    549, Loss  0.876154, Average Loss  0.869954, Time  0.420603
2021-09-23 06:35:52.785128 : Epoch  7, Batch    550, Loss  0.880149, Average Loss  0.870007, Time  0.413671
2021-09-23 06:35:57.736988 : Epoch  7, Batch    551, Loss  0.860969, Average Loss  0.869995, Time  0.413818
2021-09-23 06:36:02.744825 : Epoch  7, Batch    552, Loss  0.874807, Average Loss  0.869976, Time  0.452728
2021-09-23 06:36:07.711062 : Epoch  7, Batch    553, Loss  0.871147, Average Loss  0.869964, Time  0.413517
2021-09-23 06:36:12.654995 : Epoch  7, Batch    554, Loss  0.873177, Average Loss  0.869954, Time  0.414523
2021-09-23 06:36:17.608775 : Epoch  7, Batch    555, Loss  0.862926, Average Loss  0.869878, Time  0.413164
2021-09-23 06:36:22.578718 : Epoch  7, Batch    556, Loss  0.863742, Average Loss  0.869815, Time  0.413464
2021-09-23 06:36:27.527114 : Epoch  7, Batch    557, Loss  0.880507, Average Loss  0.869827, Time  0.413023
2021-09-23 06:36:32.464720 : Epoch  7, Batch    558, Loss  0.875648, Average Loss  0.869863, Time  0.412910
2021-09-23 06:36:37.414068 : Epoch  7, Batch    559, Loss  0.861380, Average Loss  0.869797, Time  0.413138
2021-09-23 06:36:42.352106 : Epoch  7, Batch    560, Loss  0.872381, Average Loss  0.869779, Time  0.413926
2021-09-23 06:36:47.340390 : Epoch  7, Batch    561, Loss  0.879177, Average Loss  0.869840, Time  0.460839
2021-09-23 06:36:52.273044 : Epoch  7, Batch    562, Loss  0.873940, Average Loss  0.869784, Time  0.412931
2021-09-23 06:36:57.213028 : Epoch  7, Batch    563, Loss  0.866438, Average Loss  0.869777, Time  0.412785
2021-09-23 06:37:02.163032 : Epoch  7, Batch    564, Loss  0.885418, Average Loss  0.869832, Time  0.414139
2021-09-23 06:37:07.097597 : Epoch  7, Batch    565, Loss  0.870104, Average Loss  0.869901, Time  0.413907
2021-09-23 06:37:12.060974 : Epoch  7, Batch    566, Loss  0.864151, Average Loss  0.869952, Time  0.413814
2021-09-23 06:37:17.016961 : Epoch  7, Batch    567, Loss  0.859698, Average Loss  0.869851, Time  0.413921
2021-09-23 06:37:21.963980 : Epoch  7, Batch    568, Loss  0.858349, Average Loss  0.869903, Time  0.413354
2021-09-23 06:37:26.920990 : Epoch  7, Batch    569, Loss  0.869068, Average Loss  0.869862, Time  0.413152
2021-09-23 06:37:31.862808 : Epoch  7, Batch    570, Loss  0.872163, Average Loss  0.869849, Time  0.413208
2021-09-23 06:37:36.862785 : Epoch  7, Batch    571, Loss  0.877692, Average Loss  0.869946, Time  0.466649
2021-09-23 06:37:41.825835 : Epoch  7, Batch    572, Loss  0.865561, Average Loss  0.869884, Time  0.417623
2021-09-23 06:37:46.768010 : Epoch  7, Batch    573, Loss  0.866427, Average Loss  0.869868, Time  0.412921
2021-09-23 06:37:51.719940 : Epoch  7, Batch    574, Loss  0.854618, Average Loss  0.869732, Time  0.413104
2021-09-23 06:37:56.679832 : Epoch  7, Batch    575, Loss  0.869309, Average Loss  0.869734, Time  0.413316
2021-09-23 06:38:01.636071 : Epoch  7, Batch    576, Loss  0.863782, Average Loss  0.869704, Time  0.413009
2021-09-23 06:38:06.595966 : Epoch  7, Batch    577, Loss  0.877553, Average Loss  0.869806, Time  0.414615
2021-09-23 06:38:11.538166 : Epoch  7, Batch    578, Loss  0.852260, Average Loss  0.869691, Time  0.413941
2021-09-23 06:38:16.476719 : Epoch  7, Batch    579, Loss  0.876791, Average Loss  0.869800, Time  0.413284
2021-09-23 06:38:21.468455 : Epoch  7, Batch    580, Loss  0.869473, Average Loss  0.869793, Time  0.456852
2021-09-23 06:38:26.416927 : Epoch  7, Batch    581, Loss  0.867535, Average Loss  0.869796, Time  0.413112
2021-09-23 06:38:31.344020 : Epoch  7, Batch    582, Loss  0.874189, Average Loss  0.869868, Time  0.413166
2021-09-23 06:38:36.292011 : Epoch  7, Batch    583, Loss  0.871180, Average Loss  0.869943, Time  0.413248
2021-09-23 06:38:41.211826 : Epoch  7, Batch    584, Loss  0.872260, Average Loss  0.869964, Time  0.413234
2021-09-23 06:38:46.157054 : Epoch  7, Batch    585, Loss  0.868116, Average Loss  0.869895, Time  0.413184
2021-09-23 06:38:51.108955 : Epoch  7, Batch    586, Loss  0.877434, Average Loss  0.869925, Time  0.413236
2021-09-23 06:38:56.055984 : Epoch  7, Batch    587, Loss  0.868828, Average Loss  0.869916, Time  0.413357
2021-09-23 06:39:00.998882 : Epoch  7, Batch    588, Loss  0.865741, Average Loss  0.869850, Time  0.412908
2021-09-23 06:39:05.959030 : Epoch  7, Batch    589, Loss  0.862906, Average Loss  0.869877, Time  0.414504
2021-09-23 06:39:10.963790 : Epoch  7, Batch    590, Loss  0.869195, Average Loss  0.869867, Time  0.462624
2021-09-23 06:39:15.923782 : Epoch  7, Batch    591, Loss  0.859649, Average Loss  0.869731, Time  0.413958
2021-09-23 06:39:20.865545 : Epoch  7, Batch    592, Loss  0.862072, Average Loss  0.869642, Time  0.413564
2021-09-23 06:39:25.817011 : Epoch  7, Batch    593, Loss  0.873496, Average Loss  0.869668, Time  0.413368
2021-09-23 06:39:30.767869 : Epoch  7, Batch    594, Loss  0.867308, Average Loss  0.869661, Time  0.413424
2021-09-23 06:39:35.717765 : Epoch  7, Batch    595, Loss  0.865994, Average Loss  0.869658, Time  0.413574
2021-09-23 06:39:40.667046 : Epoch  7, Batch    596, Loss  0.869132, Average Loss  0.869683, Time  0.413016
2021-09-23 06:39:45.623760 : Epoch  7, Batch    597, Loss  0.873322, Average Loss  0.869729, Time  0.413567
2021-09-23 06:39:50.593061 : Epoch  7, Batch    598, Loss  0.861823, Average Loss  0.869637, Time  0.413337
2021-09-23 06:39:55.573069 : Epoch  7, Batch    599, Loss  0.875097, Average Loss  0.869640, Time  0.449451
2021-09-23 06:40:00.521968 : Epoch  7, Batch    600, Loss  0.867487, Average Loss  0.869619, Time  0.414107
2021-09-23 06:40:05.483734 : Epoch  7, Batch    601, Loss  0.878047, Average Loss  0.869670, Time  0.413170
2021-09-23 06:40:10.433987 : Epoch  7, Batch    602, Loss  0.875033, Average Loss  0.869744, Time  0.414468
2021-09-23 06:40:15.395792 : Epoch  7, Batch    603, Loss  0.853292, Average Loss  0.869747, Time  0.413663
2021-09-23 06:40:20.349056 : Epoch  7, Batch    604, Loss  0.867783, Average Loss  0.869760, Time  0.413708
2021-09-23 06:40:25.282061 : Epoch  7, Batch    605, Loss  0.866260, Average Loss  0.869697, Time  0.413516
2021-09-23 06:40:30.245967 : Epoch  7, Batch    606, Loss  0.852458, Average Loss  0.869577, Time  0.413601
2021-09-23 06:40:35.195198 : Epoch  7, Batch    607, Loss  0.876101, Average Loss  0.869466, Time  0.413720
2021-09-23 06:40:40.192731 : Epoch  7, Batch    608, Loss  0.847956, Average Loss  0.869320, Time  0.459748
2021-09-23 06:40:45.145012 : Epoch  7, Batch    609, Loss  0.872131, Average Loss  0.869334, Time  0.413476
2021-09-23 06:40:50.098855 : Epoch  7, Batch    610, Loss  0.862050, Average Loss  0.869287, Time  0.413223
2021-09-23 06:40:55.054706 : Epoch  7, Batch    611, Loss  0.868223, Average Loss  0.869291, Time  0.421956
2021-09-23 06:41:00.002970 : Epoch  7, Batch    612, Loss  0.866014, Average Loss  0.869255, Time  0.413150
2021-09-23 06:41:04.950036 : Epoch  7, Batch    613, Loss  0.866449, Average Loss  0.869238, Time  0.413782
2021-09-23 06:41:09.908325 : Epoch  7, Batch    614, Loss  0.868108, Average Loss  0.869179, Time  0.413331
2021-09-23 06:41:14.865755 : Epoch  7, Batch    615, Loss  0.856305, Average Loss  0.869184, Time  0.414270
2021-09-23 06:41:19.810888 : Epoch  7, Batch    616, Loss  0.889953, Average Loss  0.869242, Time  0.414097
2021-09-23 06:41:24.756018 : Epoch  7, Batch    617, Loss  0.866864, Average Loss  0.869254, Time  0.413702
2021-09-23 06:41:29.762760 : Epoch  7, Batch    618, Loss  0.869168, Average Loss  0.869283, Time  0.459013
2021-09-23 06:41:34.719749 : Epoch  7, Batch    619, Loss  0.880592, Average Loss  0.869378, Time  0.413256
2021-09-23 06:41:39.685840 : Epoch  7, Batch    620, Loss  0.877842, Average Loss  0.869384, Time  0.414047
2021-09-23 06:41:44.644017 : Epoch  7, Batch    621, Loss  0.867938, Average Loss  0.869415, Time  0.413040
2021-09-23 06:41:49.603721 : Epoch  7, Batch    622, Loss  0.869815, Average Loss  0.869406, Time  0.413197
2021-09-23 06:41:54.557985 : Epoch  7, Batch    623, Loss  0.872003, Average Loss  0.869424, Time  0.413127
2021-09-23 06:41:59.514739 : Epoch  7, Batch    624, Loss  0.869146, Average Loss  0.869402, Time  0.413190
2021-09-23 06:42:04.460339 : Epoch  7, Batch    625, Loss  0.868902, Average Loss  0.869277, Time  0.413642
2021-09-23 06:42:09.405134 : Epoch  7, Batch    626, Loss  0.857409, Average Loss  0.869243, Time  0.413103
2021-09-23 06:42:14.407996 : Epoch  7, Batch    627, Loss  0.880638, Average Loss  0.869390, Time  0.464451
2021-09-23 06:42:19.373740 : Epoch  7, Batch    628, Loss  0.872551, Average Loss  0.869386, Time  0.421252
2021-09-23 06:42:24.316843 : Epoch  7, Batch    629, Loss  0.861725, Average Loss  0.869359, Time  0.414243
2021-09-23 06:42:29.274377 : Epoch  7, Batch    630, Loss  0.860886, Average Loss  0.869282, Time  0.413848
2021-09-23 06:42:34.215861 : Epoch  7, Batch    631, Loss  0.871374, Average Loss  0.869263, Time  0.413576
2021-09-23 06:42:39.160014 : Epoch  7, Batch    632, Loss  0.867751, Average Loss  0.869285, Time  0.413235
2021-09-23 06:46:35.535729 : CheckPoint: Validation Loss  0.00014893, Best Loss  0.00014643
2021-09-23 06:46:40.495045 : Epoch  7, Batch    633, Loss  0.855942, Average Loss  0.869124, Time  0.414570
2021-09-23 06:46:45.444059 : Epoch  7, Batch    634, Loss  0.879191, Average Loss  0.869253, Time  0.414044
2021-09-23 06:46:50.398002 : Epoch  7, Batch    635, Loss  0.855680, Average Loss  0.869148, Time  0.413450
2021-09-23 06:46:55.371989 : Epoch  7, Batch    636, Loss  0.885487, Average Loss  0.869229, Time  0.432158
2021-09-23 06:47:00.331788 : Epoch  7, Batch    637, Loss  0.867000, Average Loss  0.869147, Time  0.413388
2021-09-23 06:47:05.278050 : Epoch  7, Batch    638, Loss  0.887698, Average Loss  0.869240, Time  0.413439
2021-09-23 06:47:10.237168 : Epoch  7, Batch    639, Loss  0.874334, Average Loss  0.869317, Time  0.413219
2021-09-23 06:47:15.197766 : Epoch  7, Batch    640, Loss  0.869859, Average Loss  0.869255, Time  0.413312
2021-09-23 06:47:20.147017 : Epoch  7, Batch    641, Loss  0.863036, Average Loss  0.869232, Time  0.413091
2021-09-23 06:47:25.098971 : Epoch  7, Batch    642, Loss  0.884126, Average Loss  0.869286, Time  0.413215
2021-09-23 06:47:30.046723 : Epoch  7, Batch    643, Loss  0.883781, Average Loss  0.869356, Time  0.412901
2021-09-23 06:47:34.994121 : Epoch  7, Batch    644, Loss  0.882760, Average Loss  0.869410, Time  0.413310
2021-09-23 06:47:39.984967 : Epoch  7, Batch    645, Loss  0.876142, Average Loss  0.869440, Time  0.413262
2021-09-23 06:47:45.037820 : Epoch  7, Batch    646, Loss  0.863148, Average Loss  0.869440, Time  0.454762
2021-09-23 06:47:49.974244 : Epoch  7, Batch    647, Loss  0.861794, Average Loss  0.869469, Time  0.413855
2021-09-23 06:47:54.935796 : Epoch  7, Batch    648, Loss  0.854527, Average Loss  0.869408, Time  0.414072
2021-09-23 06:47:59.893729 : Epoch  7, Batch    649, Loss  0.876174, Average Loss  0.869404, Time  0.413714
2021-09-23 06:48:04.846164 : Epoch  7, Batch    650, Loss  0.882188, Average Loss  0.869538, Time  0.414186
2021-09-23 06:48:09.832019 : Epoch  7, Batch    651, Loss  0.863655, Average Loss  0.869535, Time  0.415622
2021-09-23 06:48:14.786215 : Epoch  7, Batch    652, Loss  0.872046, Average Loss  0.869471, Time  0.413705
2021-09-23 06:48:19.753090 : Epoch  7, Batch    653, Loss  0.878132, Average Loss  0.869543, Time  0.414671
2021-09-23 06:48:24.704752 : Epoch  7, Batch    654, Loss  0.877053, Average Loss  0.869569, Time  0.415013
2021-09-23 06:48:29.710013 : Epoch  7, Batch    655, Loss  0.867085, Average Loss  0.869662, Time  0.464400
2021-09-23 06:48:34.671850 : Epoch  7, Batch    656, Loss  0.867940, Average Loss  0.869613, Time  0.413809
2021-09-23 06:48:39.616975 : Epoch  7, Batch    657, Loss  0.885395, Average Loss  0.869733, Time  0.414212
2021-09-23 06:48:44.569300 : Epoch  7, Batch    658, Loss  0.887423, Average Loss  0.869817, Time  0.414182
2021-09-23 06:48:49.507766 : Epoch  7, Batch    659, Loss  0.868925, Average Loss  0.869855, Time  0.414394
2021-09-23 06:48:54.456290 : Epoch  7, Batch    660, Loss  0.860511, Average Loss  0.869803, Time  0.413857
2021-09-23 06:48:59.405980 : Epoch  7, Batch    661, Loss  0.871893, Average Loss  0.869745, Time  0.412895
2021-09-23 06:49:04.359741 : Epoch  7, Batch    662, Loss  0.868256, Average Loss  0.869694, Time  0.413101
2021-09-23 06:49:09.303755 : Epoch  7, Batch    663, Loss  0.876805, Average Loss  0.869723, Time  0.413532
2021-09-23 06:49:14.294168 : Epoch  7, Batch    664, Loss  0.883796, Average Loss  0.869828, Time  0.451008
2021-09-23 06:49:19.244873 : Epoch  7, Batch    665, Loss  0.857891, Average Loss  0.869721, Time  0.417223
2021-09-23 06:49:24.195348 : Epoch  7, Batch    666, Loss  0.870578, Average Loss  0.869712, Time  0.413787
2021-09-23 06:49:29.139381 : Epoch  7, Batch    667, Loss  0.876695, Average Loss  0.869721, Time  0.413648
2021-09-23 06:49:34.105064 : Epoch  7, Batch    668, Loss  0.879639, Average Loss  0.869735, Time  0.413659
2021-09-23 06:49:39.064007 : Epoch  7, Batch    669, Loss  0.862585, Average Loss  0.869732, Time  0.413519
2021-09-23 06:49:44.021747 : Epoch  7, Batch    670, Loss  0.861997, Average Loss  0.869741, Time  0.413037
2021-09-23 06:49:48.972734 : Epoch  7, Batch    671, Loss  0.848432, Average Loss  0.869573, Time  0.413260
2021-09-23 06:49:53.922957 : Epoch  7, Batch    672, Loss  0.877189, Average Loss  0.869614, Time  0.413776
2021-09-23 06:49:58.874134 : Epoch  7, Batch    673, Loss  0.880622, Average Loss  0.869580, Time  0.413409
2021-09-23 06:50:03.851018 : Epoch  7, Batch    674, Loss  0.870605, Average Loss  0.869552, Time  0.432910
2021-09-23 06:50:08.807948 : Epoch  7, Batch    675, Loss  0.870230, Average Loss  0.869562, Time  0.413405
2021-09-23 06:50:13.765044 : Epoch  7, Batch    676, Loss  0.869987, Average Loss  0.869534, Time  0.413648
2021-09-23 06:50:18.720056 : Epoch  7, Batch    677, Loss  0.872668, Average Loss  0.869536, Time  0.414078
2021-09-23 06:50:23.671354 : Epoch  7, Batch    678, Loss  0.880886, Average Loss  0.869562, Time  0.414471
2021-09-23 06:50:28.634101 : Epoch  7, Batch    679, Loss  0.882193, Average Loss  0.869649, Time  0.413834
2021-09-23 06:50:33.602990 : Epoch  7, Batch    680, Loss  0.866686, Average Loss  0.869571, Time  0.414138
2021-09-23 06:50:38.567993 : Epoch  7, Batch    681, Loss  0.866965, Average Loss  0.869548, Time  0.414231
2021-09-23 06:50:43.521961 : Epoch  7, Batch    682, Loss  0.866761, Average Loss  0.869519, Time  0.413391
2021-09-23 06:50:48.511996 : Epoch  7, Batch    683, Loss  0.868483, Average Loss  0.869515, Time  0.450484
2021-09-23 06:50:53.474057 : Epoch  7, Batch    684, Loss  0.868449, Average Loss  0.869493, Time  0.413637
2021-09-23 06:50:58.427000 : Epoch  7, Batch    685, Loss  0.872474, Average Loss  0.869521, Time  0.413090
2021-09-23 06:51:03.373960 : Epoch  7, Batch    686, Loss  0.880609, Average Loss  0.869601, Time  0.413635
2021-09-23 06:51:08.321224 : Epoch  7, Batch    687, Loss  0.880520, Average Loss  0.869729, Time  0.413117
2021-09-23 06:51:13.270941 : Epoch  7, Batch    688, Loss  0.867625, Average Loss  0.869730, Time  0.413240
2021-09-23 06:51:18.224989 : Epoch  7, Batch    689, Loss  0.866212, Average Loss  0.869703, Time  0.413367
2021-09-23 06:51:23.189264 : Epoch  7, Batch    690, Loss  0.878852, Average Loss  0.869765, Time  0.413485
2021-09-23 06:51:28.155947 : Epoch  7, Batch    691, Loss  0.880204, Average Loss  0.869836, Time  0.414562
2021-09-23 06:51:33.147096 : Epoch  7, Batch    692, Loss  0.860237, Average Loss  0.869878, Time  0.459772
2021-09-23 06:51:38.127766 : Epoch  7, Batch    693, Loss  0.877661, Average Loss  0.869935, Time  0.423328
2021-09-23 06:51:43.089867 : Epoch  7, Batch    694, Loss  0.859529, Average Loss  0.870002, Time  0.414210
2021-09-23 06:51:48.060499 : Epoch  7, Batch    695, Loss  0.868332, Average Loss  0.869973, Time  0.413246
2021-09-23 06:51:53.035929 : Epoch  7, Batch    696, Loss  0.870542, Average Loss  0.870047, Time  0.413176
2021-09-23 06:51:57.994800 : Epoch  7, Batch    697, Loss  0.870989, Average Loss  0.870107, Time  0.413157
2021-09-23 06:52:02.944737 : Epoch  7, Batch    698, Loss  0.862380, Average Loss  0.870063, Time  0.413940
2021-09-23 06:52:07.905948 : Epoch  7, Batch    699, Loss  0.873766, Average Loss  0.870155, Time  0.413405
2021-09-23 06:52:12.847579 : Epoch  7, Batch    700, Loss  0.878970, Average Loss  0.870260, Time  0.413564
2021-09-23 06:52:17.800755 : Epoch  7, Batch    701, Loss  0.880431, Average Loss  0.870354, Time  0.413040
2021-09-23 06:52:22.803726 : Epoch  7, Batch    702, Loss  0.846161, Average Loss  0.870197, Time  0.461498
2021-09-23 06:52:27.773853 : Epoch  7, Batch    703, Loss  0.883904, Average Loss  0.870245, Time  0.416673
2021-09-23 06:52:32.735967 : Epoch  7, Batch    704, Loss  0.854927, Average Loss  0.870185, Time  0.413983
2021-09-23 06:52:37.704086 : Epoch  7, Batch    705, Loss  0.860231, Average Loss  0.870189, Time  0.414251
2021-09-23 06:52:42.668733 : Epoch  7, Batch    706, Loss  0.866697, Average Loss  0.870232, Time  0.413705
2021-09-23 06:52:47.652748 : Epoch  7, Batch    707, Loss  0.876861, Average Loss  0.870281, Time  0.413934
2021-09-23 06:52:52.595028 : Epoch  7, Batch    708, Loss  0.867707, Average Loss  0.870207, Time  0.413636
2021-09-23 06:52:57.585944 : Epoch  7, Batch    709, Loss  0.870176, Average Loss  0.870231, Time  0.413312
2021-09-23 06:53:02.549842 : Epoch  7, Batch    710, Loss  0.865390, Average Loss  0.870179, Time  0.413385
2021-09-23 06:53:07.548640 : Epoch  7, Batch    711, Loss  0.875894, Average Loss  0.870139, Time  0.456542
2021-09-23 06:53:12.499133 : Epoch  7, Batch    712, Loss  0.858875, Average Loss  0.870073, Time  0.413434
2021-09-23 06:53:17.455814 : Epoch  7, Batch    713, Loss  0.888143, Average Loss  0.870143, Time  0.414105
2021-09-23 06:53:22.407316 : Epoch  7, Batch    714, Loss  0.860429, Average Loss  0.870071, Time  0.413283
2021-09-23 06:53:27.356777 : Epoch  7, Batch    715, Loss  0.883087, Average Loss  0.870106, Time  0.413248
2021-09-23 06:53:32.328836 : Epoch  7, Batch    716, Loss  0.874664, Average Loss  0.870132, Time  0.414577
2021-09-23 06:53:37.286955 : Epoch  7, Batch    717, Loss  0.860599, Average Loss  0.870097, Time  0.417413
2021-09-23 06:53:42.253138 : Epoch  7, Batch    718, Loss  0.876114, Average Loss  0.870102, Time  0.414351
2021-09-23 06:53:47.205901 : Epoch  7, Batch    719, Loss  0.871732, Average Loss  0.870064, Time  0.413360
2021-09-23 06:53:52.256258 : Epoch  7, Batch    720, Loss  0.874620, Average Loss  0.870014, Time  0.456181
2021-09-23 06:53:57.255983 : Epoch  7, Batch    721, Loss  0.858612, Average Loss  0.869928, Time  0.413238
2021-09-23 06:54:02.212119 : Epoch  7, Batch    722, Loss  0.882710, Average Loss  0.869960, Time  0.413131
2021-09-23 06:54:07.188743 : Epoch  7, Batch    723, Loss  0.864762, Average Loss  0.869970, Time  0.413060
2021-09-23 06:54:12.152951 : Epoch  7, Batch    724, Loss  0.861674, Average Loss  0.869894, Time  0.413034
2021-09-23 06:54:17.097483 : Epoch  7, Batch    725, Loss  0.860228, Average Loss  0.869826, Time  0.412957
2021-09-23 06:54:22.058144 : Epoch  7, Batch    726, Loss  0.867060, Average Loss  0.869815, Time  0.413417
2021-09-23 06:54:27.013877 : Epoch  7, Batch    727, Loss  0.880361, Average Loss  0.869860, Time  0.413185
2021-09-23 06:54:31.966060 : Epoch  7, Batch    728, Loss  0.876526, Average Loss  0.869948, Time  0.413217
2021-09-23 06:54:36.912329 : Epoch  7, Batch    729, Loss  0.847816, Average Loss  0.869832, Time  0.414496
2021-09-23 06:54:41.910559 : Epoch  7, Batch    730, Loss  0.864393, Average Loss  0.869785, Time  0.462090
2021-09-23 06:54:46.857965 : Epoch  7, Batch    731, Loss  0.887349, Average Loss  0.869899, Time  0.413837
2021-09-23 06:54:51.824930 : Epoch  7, Batch    732, Loss  0.878503, Average Loss  0.869947, Time  0.414121
2021-09-23 06:58:48.497285 : CheckPoint: Validation Loss  0.00015105, Best Loss  0.00014643
2021-09-23 06:58:53.449827 : Epoch  7, Batch    733, Loss  0.862661, Average Loss  0.869972, Time  0.415229
2021-09-23 06:58:58.403792 : Epoch  7, Batch    734, Loss  0.866867, Average Loss  0.869908, Time  0.413415
2021-09-23 06:59:03.364206 : Epoch  7, Batch    735, Loss  0.867177, Average Loss  0.870021, Time  0.413160
2021-09-23 06:59:08.305768 : Epoch  7, Batch    736, Loss  0.879059, Average Loss  0.870083, Time  0.413218
2021-09-23 06:59:13.325935 : Epoch  7, Batch    737, Loss  0.875198, Average Loss  0.870218, Time  0.413228
2021-09-23 06:59:18.290676 : Epoch  7, Batch    738, Loss  0.851884, Average Loss  0.870095, Time  0.413232
2021-09-23 06:59:23.283745 : Epoch  7, Batch    739, Loss  0.870456, Average Loss  0.870008, Time  0.451146
2021-09-23 06:59:28.254780 : Epoch  7, Batch    740, Loss  0.891589, Average Loss  0.870117, Time  0.413748
2021-09-23 06:59:33.213822 : Epoch  7, Batch    741, Loss  0.860739, Average Loss  0.869969, Time  0.413838
2021-09-23 06:59:38.170128 : Epoch  7, Batch    742, Loss  0.869140, Average Loss  0.870036, Time  0.413943
2021-09-23 06:59:43.121757 : Epoch  7, Batch    743, Loss  0.876523, Average Loss  0.870088, Time  0.413287
2021-09-23 06:59:48.089983 : Epoch  7, Batch    744, Loss  0.873913, Average Loss  0.870082, Time  0.413458
2021-09-23 06:59:53.057816 : Epoch  7, Batch    745, Loss  0.856650, Average Loss  0.869917, Time  0.414588
2021-09-23 06:59:58.027757 : Epoch  7, Batch    746, Loss  0.879045, Average Loss  0.869973, Time  0.413275
2021-09-23 07:00:02.969007 : Epoch  7, Batch    747, Loss  0.864617, Average Loss  0.870007, Time  0.413036
2021-09-23 07:00:07.928896 : Epoch  7, Batch    748, Loss  0.878765, Average Loss  0.870048, Time  0.413218
2021-09-23 07:00:12.942713 : Epoch  7, Batch    749, Loss  0.861772, Average Loss  0.869976, Time  0.454990
2021-09-23 07:00:17.901890 : Epoch  7, Batch    750, Loss  0.876040, Average Loss  0.869956, Time  0.413189
2021-09-23 07:00:22.861733 : Epoch  7, Batch    751, Loss  0.872529, Average Loss  0.870014, Time  0.413120
2021-09-23 07:00:27.835074 : Epoch  7, Batch    752, Loss  0.875294, Average Loss  0.870016, Time  0.414581
2021-09-23 07:00:32.931788 : Epoch  7, Batch    753, Loss  0.858375, Average Loss  0.869952, Time  0.414258
2021-09-23 07:00:37.878384 : Epoch  7, Batch    754, Loss  0.862996, Average Loss  0.869901, Time  0.413862
2021-09-23 07:00:42.831945 : Epoch  7, Batch    755, Loss  0.867817, Average Loss  0.869926, Time  0.413270
2021-09-23 07:00:47.802939 : Epoch  7, Batch    756, Loss  0.867339, Average Loss  0.869944, Time  0.413192
2021-09-23 07:00:52.753935 : Epoch  7, Batch    757, Loss  0.882160, Average Loss  0.869952, Time  0.414072
2021-09-23 07:00:57.749944 : Epoch  7, Batch    758, Loss  0.868074, Average Loss  0.869914, Time  0.458468
2021-09-23 07:01:02.696871 : Epoch  7, Batch    759, Loss  0.874721, Average Loss  0.869981, Time  0.414174
2021-09-23 07:01:07.656552 : Epoch  7, Batch    760, Loss  0.870117, Average Loss  0.869969, Time  0.413226
2021-09-23 07:01:12.626959 : Epoch  7, Batch    761, Loss  0.870459, Average Loss  0.869926, Time  0.413379
2021-09-23 07:01:17.577909 : Epoch  7, Batch    762, Loss  0.865125, Average Loss  0.869882, Time  0.413321
2021-09-23 07:01:22.537296 : Epoch  7, Batch    763, Loss  0.858915, Average Loss  0.869844, Time  0.412982
2021-09-23 07:01:27.485797 : Epoch  7, Batch    764, Loss  0.870671, Average Loss  0.869770, Time  0.413275
2021-09-23 07:01:32.442714 : Epoch  7, Batch    765, Loss  0.865383, Average Loss  0.869747, Time  0.414730
2021-09-23 07:01:37.392923 : Epoch  7, Batch    766, Loss  0.867288, Average Loss  0.869762, Time  0.413838
2021-09-23 07:01:42.391916 : Epoch  7, Batch    767, Loss  0.877728, Average Loss  0.869853, Time  0.465207
2021-09-23 07:01:47.364175 : Epoch  7, Batch    768, Loss  0.873916, Average Loss  0.869930, Time  0.421102
2021-09-23 07:01:52.327874 : Epoch  7, Batch    769, Loss  0.860877, Average Loss  0.869890, Time  0.413465
2021-09-23 07:01:57.276435 : Epoch  7, Batch    770, Loss  0.887699, Average Loss  0.869967, Time  0.413300
2021-09-23 07:02:02.229778 : Epoch  7, Batch    771, Loss  0.865978, Average Loss  0.869909, Time  0.413408
2021-09-23 07:02:07.180089 : Epoch  7, Batch    772, Loss  0.868540, Average Loss  0.869924, Time  0.413392
2021-09-23 07:02:12.116734 : Epoch  7, Batch    773, Loss  0.869950, Average Loss  0.869941, Time  0.412921
2021-09-23 07:02:17.056731 : Epoch  7, Batch    774, Loss  0.863510, Average Loss  0.869986, Time  0.413409
2021-09-23 07:02:22.056824 : Epoch  7, Batch    775, Loss  0.871750, Average Loss  0.869998, Time  0.413254
2021-09-23 07:02:27.015930 : Epoch  7, Batch    776, Loss  0.879767, Average Loss  0.870078, Time  0.413836
2021-09-23 07:02:32.039937 : Epoch  7, Batch    777, Loss  0.864416, Average Loss  0.870012, Time  0.457702
2021-09-23 07:02:36.988727 : Epoch  7, Batch    778, Loss  0.852383, Average Loss  0.870013, Time  0.414988
2021-09-23 07:02:41.940937 : Epoch  7, Batch    779, Loss  0.879224, Average Loss  0.870025, Time  0.414770
2021-09-23 07:02:46.897993 : Epoch  7, Batch    780, Loss  0.861475, Average Loss  0.869985, Time  0.413951
2021-09-23 07:02:51.842965 : Epoch  7, Batch    781, Loss  0.879521, Average Loss  0.870045, Time  0.413785
2021-09-23 07:02:56.807378 : Epoch  7, Batch    782, Loss  0.877613, Average Loss  0.870062, Time  0.413499
2021-09-23 07:03:01.742810 : Epoch  7, Batch    783, Loss  0.865698, Average Loss  0.870034, Time  0.413197
2021-09-23 07:03:06.718860 : Epoch  7, Batch    784, Loss  0.868285, Average Loss  0.870015, Time  0.413517
2021-09-23 07:03:11.669961 : Epoch  7, Batch    785, Loss  0.858506, Average Loss  0.869967, Time  0.413042
2021-09-23 07:03:16.673419 : Epoch  7, Batch    786, Loss  0.875703, Average Loss  0.869958, Time  0.455543
2021-09-23 07:03:21.611884 : Epoch  7, Batch    787, Loss  0.875134, Average Loss  0.869989, Time  0.413154
2021-09-23 07:03:26.568957 : Epoch  7, Batch    788, Loss  0.861656, Average Loss  0.869969, Time  0.413076
2021-09-23 07:03:31.504854 : Epoch  7, Batch    789, Loss  0.874580, Average Loss  0.870027, Time  0.412964
2021-09-23 07:03:36.460112 : Epoch  7, Batch    790, Loss  0.890150, Average Loss  0.870132, Time  0.414765
2021-09-23 07:03:41.419739 : Epoch  7, Batch    791, Loss  0.856529, Average Loss  0.870117, Time  0.413646
2021-09-23 07:03:46.372934 : Epoch  7, Batch    792, Loss  0.852126, Average Loss  0.870067, Time  0.414060
2021-09-23 07:03:51.308956 : Epoch  7, Batch    793, Loss  0.880098, Average Loss  0.870100, Time  0.418690
2021-09-23 07:03:56.272003 : Epoch  7, Batch    794, Loss  0.864463, Average Loss  0.870086, Time  0.413840
2021-09-23 07:04:01.251973 : Epoch  7, Batch    795, Loss  0.869494, Average Loss  0.870103, Time  0.450234
2021-09-23 07:04:06.252931 : Epoch  7, Batch    796, Loss  0.873903, Average Loss  0.870127, Time  0.413407
2021-09-23 07:04:11.196738 : Epoch  7, Batch    797, Loss  0.856103, Average Loss  0.870041, Time  0.413542
2021-09-23 07:04:16.146862 : Epoch  7, Batch    798, Loss  0.883156, Average Loss  0.870148, Time  0.413683
2021-09-23 07:04:21.090976 : Epoch  7, Batch    799, Loss  0.870235, Average Loss  0.870123, Time  0.413262
2021-09-23 07:04:26.043955 : Epoch  7, Batch    800, Loss  0.865100, Average Loss  0.870111, Time  0.413271
2021-09-23 07:04:30.995036 : Epoch  7, Batch    801, Loss  0.880824, Average Loss  0.870125, Time  0.413657
2021-09-23 07:04:35.950937 : Epoch  7, Batch    802, Loss  0.877117, Average Loss  0.870136, Time  0.413028
2021-09-23 07:04:40.896404 : Epoch  7, Batch    803, Loss  0.874468, Average Loss  0.870241, Time  0.414355
2021-09-23 07:04:45.867087 : Epoch  7, Batch    804, Loss  0.854732, Average Loss  0.870176, Time  0.413544
2021-09-23 07:04:50.863943 : Epoch  7, Batch    805, Loss  0.867103, Average Loss  0.870180, Time  0.466841
2021-09-23 07:04:55.808938 : Epoch  7, Batch    806, Loss  0.861229, Average Loss  0.870224, Time  0.415805
2021-09-23 07:05:00.769785 : Epoch  7, Batch    807, Loss  0.877883, Average Loss  0.870233, Time  0.413541
2021-09-23 07:05:05.730855 : Epoch  7, Batch    808, Loss  0.851983, Average Loss  0.870253, Time  0.413509
2021-09-23 07:05:10.675942 : Epoch  7, Batch    809, Loss  0.887980, Average Loss  0.870333, Time  0.413088
2021-09-23 07:05:15.619742 : Epoch  7, Batch    810, Loss  0.861388, Average Loss  0.870329, Time  0.413326
2021-09-23 07:05:20.566918 : Epoch  7, Batch    811, Loss  0.853291, Average Loss  0.870255, Time  0.413107
2021-09-23 07:05:25.531319 : Epoch  7, Batch    812, Loss  0.874142, Average Loss  0.870295, Time  0.432838
2021-09-23 07:05:30.470866 : Epoch  7, Batch    813, Loss  0.874688, Average Loss  0.870336, Time  0.413046
2021-09-23 07:05:35.460016 : Epoch  7, Batch    814, Loss  0.874211, Average Loss  0.870367, Time  0.456767
2021-09-23 07:05:40.421853 : Epoch  7, Batch    815, Loss  0.863062, Average Loss  0.870401, Time  0.413011
2021-09-23 07:05:45.375831 : Epoch  7, Batch    816, Loss  0.874778, Average Loss  0.870325, Time  0.414853
2021-09-23 07:05:50.329804 : Epoch  7, Batch    817, Loss  0.879369, Average Loss  0.870387, Time  0.414418
2021-09-23 07:05:55.278021 : Epoch  7, Batch    818, Loss  0.867031, Average Loss  0.870377, Time  0.413377
2021-09-23 07:06:00.228954 : Epoch  7, Batch    819, Loss  0.865154, Average Loss  0.870300, Time  0.414099
2021-09-23 07:06:05.174930 : Epoch  7, Batch    820, Loss  0.874768, Average Loss  0.870284, Time  0.413251
2021-09-23 07:06:10.128891 : Epoch  7, Batch    821, Loss  0.860044, Average Loss  0.870245, Time  0.413323
2021-09-23 07:06:15.089187 : Epoch  7, Batch    822, Loss  0.865691, Average Loss  0.870224, Time  0.413594
2021-09-23 07:06:20.039735 : Epoch  7, Batch    823, Loss  0.859850, Average Loss  0.870163, Time  0.412860
2021-09-23 07:06:25.026038 : Epoch  7, Batch    824, Loss  0.868358, Average Loss  0.870159, Time  0.455180
2021-09-23 07:06:29.962727 : Epoch  7, Batch    825, Loss  0.866211, Average Loss  0.870146, Time  0.412866
2021-09-23 07:06:34.921154 : Epoch  7, Batch    826, Loss  0.873844, Average Loss  0.870228, Time  0.413209
2021-09-23 07:06:39.870790 : Epoch  7, Batch    827, Loss  0.850733, Average Loss  0.870079, Time  0.412970
2021-09-23 07:06:44.821043 : Epoch  7, Batch    828, Loss  0.867798, Average Loss  0.870055, Time  0.413786
2021-09-23 07:06:49.775148 : Epoch  7, Batch    829, Loss  0.845807, Average Loss  0.869975, Time  0.414481
2021-09-23 07:06:54.733969 : Epoch  7, Batch    830, Loss  0.873855, Average Loss  0.870040, Time  0.413873
2021-09-23 07:06:59.671018 : Epoch  7, Batch    831, Loss  0.865034, Average Loss  0.870008, Time  0.413492
2021-09-23 07:07:04.628897 : Epoch  7, Batch    832, Loss  0.869876, Average Loss  0.870019, Time  0.414218
2021-09-23 07:11:00.760729 : CheckPoint: Validation Loss  0.00015141, Best Loss  0.00014643
2021-09-23 07:11:05.736989 : Epoch  7, Batch    833, Loss  0.867438, Average Loss  0.870076, Time  0.438053
2021-09-23 07:11:10.681852 : Epoch  7, Batch    834, Loss  0.867488, Average Loss  0.870018, Time  0.413194
2021-09-23 07:11:15.635907 : Epoch  7, Batch    835, Loss  0.866704, Average Loss  0.870073, Time  0.412993
2021-09-23 07:11:20.581799 : Epoch  7, Batch    836, Loss  0.866377, Average Loss  0.869977, Time  0.413947
2021-09-23 07:11:25.538735 : Epoch  7, Batch    837, Loss  0.866737, Average Loss  0.869976, Time  0.412902
2021-09-23 07:11:30.516774 : Epoch  7, Batch    838, Loss  0.859021, Average Loss  0.869833, Time  0.414352
2021-09-23 07:11:35.460905 : Epoch  7, Batch    839, Loss  0.850528, Average Loss  0.869714, Time  0.414154
2021-09-23 07:11:40.417220 : Epoch  7, Batch    840, Loss  0.863124, Average Loss  0.869680, Time  0.414394
2021-09-23 07:11:45.363965 : Epoch  7, Batch    841, Loss  0.876884, Average Loss  0.869749, Time  0.413753
2021-09-23 07:11:50.350921 : Epoch  7, Batch    842, Loss  0.860777, Average Loss  0.869633, Time  0.453268
2021-09-23 07:11:55.291759 : Epoch  7, Batch    843, Loss  0.877191, Average Loss  0.869600, Time  0.415053
2021-09-23 07:12:00.242746 : Epoch  7, Batch    844, Loss  0.863536, Average Loss  0.869503, Time  0.413495
2021-09-23 07:12:05.190743 : Epoch  7, Batch    845, Loss  0.869362, Average Loss  0.869470, Time  0.413344
2021-09-23 07:12:10.139962 : Epoch  7, Batch    846, Loss  0.876754, Average Loss  0.869538, Time  0.413311
2021-09-23 07:12:15.086675 : Epoch  7, Batch    847, Loss  0.861738, Average Loss  0.869537, Time  0.422189
2021-09-23 07:12:20.082251 : Epoch  7, Batch    848, Loss  0.867142, Average Loss  0.869600, Time  0.413165
2021-09-23 07:12:25.023283 : Epoch  7, Batch    849, Loss  0.859730, Average Loss  0.869518, Time  0.413415
2021-09-23 07:12:29.979099 : Epoch  7, Batch    850, Loss  0.863121, Average Loss  0.869423, Time  0.412935
2021-09-23 07:12:34.936733 : Epoch  7, Batch    851, Loss  0.847506, Average Loss  0.869342, Time  0.413021
2021-09-23 07:12:39.929948 : Epoch  7, Batch    852, Loss  0.856235, Average Loss  0.869263, Time  0.456084
2021-09-23 07:12:44.886831 : Epoch  7, Batch    853, Loss  0.862235, Average Loss  0.869184, Time  0.414248
2021-09-23 07:12:49.836045 : Epoch  7, Batch    854, Loss  0.888029, Average Loss  0.869238, Time  0.414182
2021-09-23 07:12:54.798768 : Epoch  7, Batch    855, Loss  0.873735, Average Loss  0.869272, Time  0.413848
2021-09-23 07:12:59.764750 : Epoch  7, Batch    856, Loss  0.879321, Average Loss  0.869329, Time  0.414072
2021-09-23 07:13:04.713914 : Epoch  7, Batch    857, Loss  0.859041, Average Loss  0.869197, Time  0.413461
2021-09-23 07:13:09.669988 : Epoch  7, Batch    858, Loss  0.865605, Average Loss  0.869088, Time  0.413620
2021-09-23 07:13:14.626989 : Epoch  7, Batch    859, Loss  0.872585, Average Loss  0.869106, Time  0.413908
2021-09-23 07:13:19.610885 : Epoch  7, Batch    860, Loss  0.869909, Average Loss  0.869153, Time  0.413654
2021-09-23 07:13:24.610772 : Epoch  7, Batch    861, Loss  0.875879, Average Loss  0.869173, Time  0.449366
2021-09-23 07:13:29.571777 : Epoch  7, Batch    862, Loss  0.875058, Average Loss  0.869207, Time  0.413235
2021-09-23 07:13:34.528838 : Epoch  7, Batch    863, Loss  0.880278, Average Loss  0.869224, Time  0.413855
2021-09-23 07:13:39.506031 : Epoch  7, Batch    864, Loss  0.870382, Average Loss  0.869157, Time  0.413552
2021-09-23 07:13:44.453327 : Epoch  7, Batch    865, Loss  0.858255, Average Loss  0.869159, Time  0.414376
2021-09-23 07:13:49.404311 : Epoch  7, Batch    866, Loss  0.863805, Average Loss  0.869125, Time  0.413491
2021-09-23 07:13:54.363905 : Epoch  7, Batch    867, Loss  0.877603, Average Loss  0.869130, Time  0.413658
2021-09-23 07:13:59.325075 : Epoch  7, Batch    868, Loss  0.849841, Average Loss  0.868981, Time  0.413780
2021-09-23 07:14:04.279755 : Epoch  7, Batch    869, Loss  0.863948, Average Loss  0.868988, Time  0.413502
2021-09-23 07:14:09.227891 : Epoch  7, Batch    870, Loss  0.888459, Average Loss  0.869120, Time  0.413592
2021-09-23 07:14:14.290816 : Epoch  7, Batch    871, Loss  0.876030, Average Loss  0.869258, Time  0.451174
2021-09-23 07:14:19.244885 : Epoch  7, Batch    872, Loss  0.873345, Average Loss  0.869239, Time  0.414002
2021-09-23 07:14:24.192975 : Epoch  7, Batch    873, Loss  0.853120, Average Loss  0.869101, Time  0.414037
2021-09-23 07:14:29.144931 : Epoch  7, Batch    874, Loss  0.874675, Average Loss  0.869122, Time  0.413497
2021-09-23 07:14:34.165745 : Epoch  7, Batch    875, Loss  0.881160, Average Loss  0.869176, Time  0.413283
2021-09-23 07:14:39.121487 : Epoch  7, Batch    876, Loss  0.868307, Average Loss  0.869168, Time  0.413114
2021-09-23 07:14:44.089953 : Epoch  7, Batch    877, Loss  0.871651, Average Loss  0.869163, Time  0.413184
2021-09-23 07:14:49.043781 : Epoch  7, Batch    878, Loss  0.866956, Average Loss  0.869093, Time  0.414469
2021-09-23 07:14:54.000922 : Epoch  7, Batch    879, Loss  0.868277, Average Loss  0.869023, Time  0.413745
2021-09-23 07:14:58.988843 : Epoch  7, Batch    880, Loss  0.876278, Average Loss  0.869071, Time  0.457849
2021-09-23 07:15:03.949800 : Epoch  7, Batch    881, Loss  0.862774, Average Loss  0.869050, Time  0.414897
2021-09-23 07:15:08.900094 : Epoch  7, Batch    882, Loss  0.878011, Average Loss  0.869107, Time  0.413486
2021-09-23 07:15:13.848011 : Epoch  7, Batch    883, Loss  0.858391, Average Loss  0.869056, Time  0.413770
2021-09-23 07:15:18.799777 : Epoch  7, Batch    884, Loss  0.867593, Average Loss  0.869052, Time  0.413290
2021-09-23 07:15:23.754064 : Epoch  7, Batch    885, Loss  0.863818, Average Loss  0.869009, Time  0.413762
2021-09-23 07:15:28.697082 : Epoch  7, Batch    886, Loss  0.873429, Average Loss  0.868973, Time  0.413318
2021-09-23 07:15:33.654748 : Epoch  7, Batch    887, Loss  0.871231, Average Loss  0.868926, Time  0.413317
2021-09-23 07:15:38.608727 : Epoch  7, Batch    888, Loss  0.874456, Average Loss  0.868960, Time  0.413517
2021-09-23 07:15:43.599734 : Epoch  7, Batch    889, Loss  0.888076, Average Loss  0.869070, Time  0.458012
2021-09-23 07:15:48.556273 : Epoch  7, Batch    890, Loss  0.863164, Average Loss  0.868991, Time  0.414302
2021-09-23 07:15:53.502027 : Epoch  7, Batch    891, Loss  0.865605, Average Loss  0.868918, Time  0.413478
2021-09-23 07:15:58.455141 : Epoch  7, Batch    892, Loss  0.870756, Average Loss  0.868971, Time  0.414379
2021-09-23 07:16:03.453841 : Epoch  7, Batch    893, Loss  0.855757, Average Loss  0.868861, Time  0.414008
2021-09-23 07:16:08.410902 : Epoch  7, Batch    894, Loss  0.866294, Average Loss  0.868895, Time  0.415102
2021-09-23 07:16:13.371106 : Epoch  7, Batch    895, Loss  0.871230, Average Loss  0.868910, Time  0.413260
2021-09-23 07:16:18.314926 : Epoch  7, Batch    896, Loss  0.883133, Average Loss  0.868973, Time  0.414273
2021-09-23 07:16:23.261728 : Epoch  7, Batch    897, Loss  0.864867, Average Loss  0.868942, Time  0.413315
2021-09-23 07:16:28.258858 : Epoch  7, Batch    898, Loss  0.867488, Average Loss  0.868968, Time  0.459688
2021-09-23 07:16:33.220799 : Epoch  7, Batch    899, Loss  0.880869, Average Loss  0.869003, Time  0.413658
2021-09-23 07:16:38.170970 : Epoch  7, Batch    900, Loss  0.864424, Average Loss  0.868930, Time  0.413104
2021-09-23 07:16:43.111879 : Epoch  7, Batch    901, Loss  0.878183, Average Loss  0.868919, Time  0.414021
2021-09-23 07:16:48.042424 : Epoch  7, Batch    902, Loss  0.862251, Average Loss  0.869000, Time  0.413011
2021-09-23 07:16:52.998757 : Epoch  7, Batch    903, Loss  0.869282, Average Loss  0.868927, Time  0.414404
2021-09-23 07:16:57.942975 : Epoch  7, Batch    904, Loss  0.882185, Average Loss  0.869063, Time  0.413515
2021-09-23 07:17:03.007828 : Epoch  7, Batch    905, Loss  0.863430, Average Loss  0.869079, Time  0.413912
2021-09-23 07:17:07.971426 : Epoch  7, Batch    906, Loss  0.864894, Average Loss  0.869070, Time  0.424438
2021-09-23 07:17:12.942517 : Epoch  7, Batch    907, Loss  0.880905, Average Loss  0.869090, Time  0.414073
2021-09-23 07:17:17.934879 : Epoch  7, Batch    908, Loss  0.866955, Average Loss  0.869086, Time  0.465636
2021-09-23 07:17:22.899929 : Epoch  7, Batch    909, Loss  0.884505, Average Loss  0.869158, Time  0.420186
2021-09-23 07:17:27.843741 : Epoch  7, Batch    910, Loss  0.862393, Average Loss  0.869143, Time  0.413328
2021-09-23 07:17:32.790950 : Epoch  7, Batch    911, Loss  0.884792, Average Loss  0.869187, Time  0.413344
2021-09-23 07:17:37.754790 : Epoch  7, Batch    912, Loss  0.882564, Average Loss  0.869306, Time  0.416605
2021-09-23 07:17:42.703735 : Epoch  7, Batch    913, Loss  0.873430, Average Loss  0.869232, Time  0.413336
2021-09-23 07:17:47.650243 : Epoch  7, Batch    914, Loss  0.867680, Average Loss  0.869269, Time  0.412860
2021-09-23 07:17:52.602130 : Epoch  7, Batch    915, Loss  0.858659, Average Loss  0.869146, Time  0.413200
2021-09-23 07:17:57.557965 : Epoch  7, Batch    916, Loss  0.859081, Average Loss  0.869069, Time  0.414581
2021-09-23 07:18:02.543811 : Epoch  7, Batch    917, Loss  0.873694, Average Loss  0.869134, Time  0.448694
2021-09-23 07:18:07.500795 : Epoch  7, Batch    918, Loss  0.865897, Average Loss  0.869083, Time  0.413936
2021-09-23 07:18:12.467837 : Epoch  7, Batch    919, Loss  0.871054, Average Loss  0.869080, Time  0.413525
2021-09-23 07:18:17.409937 : Epoch  7, Batch    920, Loss  0.868935, Average Loss  0.869051, Time  0.413933
2021-09-23 07:18:22.358980 : Epoch  7, Batch    921, Loss  0.863332, Average Loss  0.869075, Time  0.412916
2021-09-23 07:18:26.037741 : Epoch  7, Batch    922, Loss  0.884362, Average Loss  0.869083, Time  0.318173
2021-09-23 07:18:30.989720 : Epoch  7, Batch    923, Loss  0.856205, Average Loss  0.869040, Time  0.413177
2021-09-23 07:18:35.946745 : Epoch  7, Batch    924, Loss  0.871616, Average Loss  0.869090, Time  0.413216
2021-09-23 07:18:40.881585 : Epoch  7, Batch    925, Loss  0.871201, Average Loss  0.869145, Time  0.413280
2021-09-23 07:18:45.821753 : Epoch  7, Batch    926, Loss  0.875488, Average Loss  0.869187, Time  0.413035
2021-09-23 07:18:50.813855 : Epoch  7, Batch    927, Loss  0.863699, Average Loss  0.869104, Time  0.467349
2021-09-23 07:18:55.765937 : Epoch  7, Batch    928, Loss  0.884216, Average Loss  0.869142, Time  0.419897
2021-09-23 07:18:55.803681 : Saving Model after 7-th Epoch.
2021-09-23 07:18:56.557621 : Epoch Finished.
2021-09-23 07:19:05.354650 : Batch Shuffled
2021-09-23 07:19:10.264941 : Epoch  8, Batch      1, Loss  0.860981, Average Loss  0.869208, Time  0.414330
2021-09-23 07:19:15.180255 : Epoch  8, Batch      2, Loss  0.855274, Average Loss  0.869162, Time  0.414088
2021-09-23 07:19:20.110883 : Epoch  8, Batch      3, Loss  0.875852, Average Loss  0.869105, Time  0.413408
2021-09-23 07:19:25.047429 : Epoch  8, Batch      4, Loss  0.864667, Average Loss  0.869036, Time  0.413704
2021-09-23 07:23:19.594721 : CheckPoint: Validation Loss  0.00014989, Best Loss  0.00014643
2021-09-23 07:23:24.529793 : Epoch  8, Batch      5, Loss  0.881799, Average Loss  0.869131, Time  0.414276
2021-09-23 07:23:29.518925 : Epoch  8, Batch      6, Loss  0.877129, Average Loss  0.869183, Time  0.455878
2021-09-23 07:23:34.454969 : Epoch  8, Batch      7, Loss  0.872432, Average Loss  0.869209, Time  0.413770
2021-09-23 07:23:39.395039 : Epoch  8, Batch      8, Loss  0.871742, Average Loss  0.869172, Time  0.413201
2021-09-23 07:23:44.344868 : Epoch  8, Batch      9, Loss  0.862798, Average Loss  0.869110, Time  0.412989
2021-09-23 07:23:49.277589 : Epoch  8, Batch     10, Loss  0.878420, Average Loss  0.869243, Time  0.412915
2021-09-23 07:23:54.219864 : Epoch  8, Batch     11, Loss  0.868412, Average Loss  0.869233, Time  0.413805
2021-09-23 07:23:59.156795 : Epoch  8, Batch     12, Loss  0.870061, Average Loss  0.869125, Time  0.413634
2021-09-23 07:24:04.110770 : Epoch  8, Batch     13, Loss  0.861071, Average Loss  0.869127, Time  0.416181
2021-09-23 07:24:09.053743 : Epoch  8, Batch     14, Loss  0.870846, Average Loss  0.869135, Time  0.414532
2021-09-23 07:24:14.000909 : Epoch  8, Batch     15, Loss  0.867727, Average Loss  0.869091, Time  0.413224
2021-09-23 07:24:18.988961 : Epoch  8, Batch     16, Loss  0.862986, Average Loss  0.869037, Time  0.459610
2021-09-23 07:24:23.913728 : Epoch  8, Batch     17, Loss  0.879405, Average Loss  0.869150, Time  0.412974
2021-09-23 07:24:28.862986 : Epoch  8, Batch     18, Loss  0.859525, Average Loss  0.869053, Time  0.413075
2021-09-23 07:24:33.790949 : Epoch  8, Batch     19, Loss  0.865728, Average Loss  0.869058, Time  0.412860
2021-09-23 07:24:38.724309 : Epoch  8, Batch     20, Loss  0.865315, Average Loss  0.868991, Time  0.413024
2021-09-23 07:24:43.655918 : Epoch  8, Batch     21, Loss  0.863654, Average Loss  0.869001, Time  0.412882
2021-09-23 07:24:48.584923 : Epoch  8, Batch     22, Loss  0.862928, Average Loss  0.868935, Time  0.413029
2021-09-23 07:24:53.525807 : Epoch  8, Batch     23, Loss  0.871428, Average Loss  0.868929, Time  0.413088
2021-09-23 07:24:58.470984 : Epoch  8, Batch     24, Loss  0.863703, Average Loss  0.868872, Time  0.414667
2021-09-23 07:25:03.467760 : Epoch  8, Batch     25, Loss  0.876600, Average Loss  0.868963, Time  0.466821
2021-09-23 07:25:08.421975 : Epoch  8, Batch     26, Loss  0.864073, Average Loss  0.868968, Time  0.416608
2021-09-23 07:25:13.388760 : Epoch  8, Batch     27, Loss  0.875508, Average Loss  0.869006, Time  0.414988
2021-09-23 07:25:18.338734 : Epoch  8, Batch     28, Loss  0.861820, Average Loss  0.868979, Time  0.413213
2021-09-23 07:25:23.276714 : Epoch  8, Batch     29, Loss  0.854033, Average Loss  0.868838, Time  0.412923
2021-09-23 07:25:28.201230 : Epoch  8, Batch     30, Loss  0.864215, Average Loss  0.868819, Time  0.413537
2021-09-23 07:25:33.151838 : Epoch  8, Batch     31, Loss  0.873723, Average Loss  0.868814, Time  0.412764
2021-09-23 07:25:38.085528 : Epoch  8, Batch     32, Loss  0.865268, Average Loss  0.868790, Time  0.413450
2021-09-23 07:25:43.021938 : Epoch  8, Batch     33, Loss  0.869306, Average Loss  0.868784, Time  0.412761
2021-09-23 07:25:47.973747 : Epoch  8, Batch     34, Loss  0.862677, Average Loss  0.868772, Time  0.413210
2021-09-23 07:25:52.927842 : Epoch  8, Batch     35, Loss  0.876843, Average Loss  0.868861, Time  0.428422
2021-09-23 07:25:57.879006 : Epoch  8, Batch     36, Loss  0.872065, Average Loss  0.868868, Time  0.414164
2021-09-23 07:26:02.812968 : Epoch  8, Batch     37, Loss  0.875119, Average Loss  0.868917, Time  0.413865
2021-09-23 07:26:07.750039 : Epoch  8, Batch     38, Loss  0.865133, Average Loss  0.868906, Time  0.413596
2021-09-23 07:26:12.726003 : Epoch  8, Batch     39, Loss  0.869098, Average Loss  0.868863, Time  0.423035
2021-09-23 07:26:17.675765 : Epoch  8, Batch     40, Loss  0.863668, Average Loss  0.868812, Time  0.413439
2021-09-23 07:26:22.616856 : Epoch  8, Batch     41, Loss  0.862129, Average Loss  0.868818, Time  0.412966
2021-09-23 07:26:27.554745 : Epoch  8, Batch     42, Loss  0.872663, Average Loss  0.868743, Time  0.413324
2021-09-23 07:26:32.494347 : Epoch  8, Batch     43, Loss  0.863341, Average Loss  0.868730, Time  0.413440
2021-09-23 07:26:37.506868 : Epoch  8, Batch     44, Loss  0.885986, Average Loss  0.868817, Time  0.464189
2021-09-23 07:26:42.461080 : Epoch  8, Batch     45, Loss  0.873826, Average Loss  0.868836, Time  0.414380
2021-09-23 07:26:47.419837 : Epoch  8, Batch     46, Loss  0.865324, Average Loss  0.868845, Time  0.413124
2021-09-23 07:26:52.367877 : Epoch  8, Batch     47, Loss  0.861109, Average Loss  0.868792, Time  0.413483
2021-09-23 07:26:57.319098 : Epoch  8, Batch     48, Loss  0.862611, Average Loss  0.868706, Time  0.412768
2021-09-23 07:27:02.293922 : Epoch  8, Batch     49, Loss  0.879533, Average Loss  0.868782, Time  0.414352
2021-09-23 07:27:07.244936 : Epoch  8, Batch     50, Loss  0.862065, Average Loss  0.868830, Time  0.414081
2021-09-23 07:27:12.194998 : Epoch  8, Batch     51, Loss  0.870275, Average Loss  0.868786, Time  0.413581
2021-09-23 07:27:17.142890 : Epoch  8, Batch     52, Loss  0.860954, Average Loss  0.868783, Time  0.413971
2021-09-23 07:27:22.092837 : Epoch  8, Batch     53, Loss  0.874869, Average Loss  0.868760, Time  0.413137
2021-09-23 07:27:27.094895 : Epoch  8, Batch     54, Loss  0.879746, Average Loss  0.868770, Time  0.462755
2021-09-23 07:27:32.036731 : Epoch  8, Batch     55, Loss  0.858375, Average Loss  0.868734, Time  0.420517
2021-09-23 07:27:36.985723 : Epoch  8, Batch     56, Loss  0.864227, Average Loss  0.868714, Time  0.412993
2021-09-23 07:27:41.930936 : Epoch  8, Batch     57, Loss  0.873024, Average Loss  0.868786, Time  0.413523
2021-09-23 07:27:46.872733 : Epoch  8, Batch     58, Loss  0.885703, Average Loss  0.868836, Time  0.412940
2021-09-23 07:27:51.818717 : Epoch  8, Batch     59, Loss  0.880635, Average Loss  0.868864, Time  0.413189
2021-09-23 07:27:56.750991 : Epoch  8, Batch     60, Loss  0.871210, Average Loss  0.868911, Time  0.412931
2021-09-23 07:28:01.699964 : Epoch  8, Batch     61, Loss  0.880394, Average Loss  0.868941, Time  0.414313
2021-09-23 07:28:06.637726 : Epoch  8, Batch     62, Loss  0.875008, Average Loss  0.868865, Time  0.413261
2021-09-23 07:28:11.635163 : Epoch  8, Batch     63, Loss  0.853740, Average Loss  0.868851, Time  0.462899
2021-09-23 07:28:16.582598 : Epoch  8, Batch     64, Loss  0.865542, Average Loss  0.868918, Time  0.413176
2021-09-23 07:28:21.536817 : Epoch  8, Batch     65, Loss  0.871787, Average Loss  0.868876, Time  0.413820
2021-09-23 07:28:26.501804 : Epoch  8, Batch     66, Loss  0.845146, Average Loss  0.868780, Time  0.413119
2021-09-23 07:28:31.452830 : Epoch  8, Batch     67, Loss  0.867379, Average Loss  0.868769, Time  0.413359
2021-09-23 07:28:36.393854 : Epoch  8, Batch     68, Loss  0.877097, Average Loss  0.868785, Time  0.413191
2021-09-23 07:28:41.340715 : Epoch  8, Batch     69, Loss  0.877180, Average Loss  0.868891, Time  0.412869
2021-09-23 07:28:46.279831 : Epoch  8, Batch     70, Loss  0.870925, Average Loss  0.868829, Time  0.413368
2021-09-23 07:28:51.225868 : Epoch  8, Batch     71, Loss  0.864551, Average Loss  0.868801, Time  0.413065
2021-09-23 07:28:56.170709 : Epoch  8, Batch     72, Loss  0.873131, Average Loss  0.868841, Time  0.413202
2021-09-23 07:29:01.157762 : Epoch  8, Batch     73, Loss  0.887734, Average Loss  0.868876, Time  0.461224
2021-09-23 07:29:06.129988 : Epoch  8, Batch     74, Loss  0.872878, Average Loss  0.868855, Time  0.416062
2021-09-23 07:29:11.078089 : Epoch  8, Batch     75, Loss  0.852044, Average Loss  0.868742, Time  0.413180
2021-09-23 07:29:16.027192 : Epoch  8, Batch     76, Loss  0.875908, Average Loss  0.868848, Time  0.414890
2021-09-23 07:29:20.981739 : Epoch  8, Batch     77, Loss  0.876134, Average Loss  0.868893, Time  0.414466
2021-09-23 07:29:25.928019 : Epoch  8, Batch     78, Loss  0.882317, Average Loss  0.868999, Time  0.413017
2021-09-23 07:29:30.875757 : Epoch  8, Batch     79, Loss  0.862276, Average Loss  0.868921, Time  0.413019
2021-09-23 07:29:35.835883 : Epoch  8, Batch     80, Loss  0.872372, Average Loss  0.869023, Time  0.414967
2021-09-23 07:29:40.763789 : Epoch  8, Batch     81, Loss  0.856829, Average Loss  0.868867, Time  0.413460
2021-09-23 07:29:45.831214 : Epoch  8, Batch     82, Loss  0.865562, Average Loss  0.868888, Time  0.466944
2021-09-23 07:29:50.787030 : Epoch  8, Batch     83, Loss  0.865012, Average Loss  0.868946, Time  0.420380
2021-09-23 07:29:55.773798 : Epoch  8, Batch     84, Loss  0.876276, Average Loss  0.868957, Time  0.412904
2021-09-23 07:30:00.726969 : Epoch  8, Batch     85, Loss  0.866864, Average Loss  0.868918, Time  0.414209
2021-09-23 07:30:05.684235 : Epoch  8, Batch     86, Loss  0.853080, Average Loss  0.868812, Time  0.413218
2021-09-23 07:30:10.625729 : Epoch  8, Batch     87, Loss  0.875865, Average Loss  0.868876, Time  0.413486
2021-09-23 07:30:15.582823 : Epoch  8, Batch     88, Loss  0.880760, Average Loss  0.868906, Time  0.414111
2021-09-23 07:30:20.544842 : Epoch  8, Batch     89, Loss  0.879414, Average Loss  0.868907, Time  0.423897
2021-09-23 07:30:25.491207 : Epoch  8, Batch     90, Loss  0.874313, Average Loss  0.868943, Time  0.413189
2021-09-23 07:30:30.473993 : Epoch  8, Batch     91, Loss  0.861930, Average Loss  0.868927, Time  0.450313
2021-09-23 07:30:35.419833 : Epoch  8, Batch     92, Loss  0.868643, Average Loss  0.868896, Time  0.413132
2021-09-23 07:30:40.371906 : Epoch  8, Batch     93, Loss  0.861662, Average Loss  0.868904, Time  0.413098
2021-09-23 07:30:45.365006 : Epoch  8, Batch     94, Loss  0.859858, Average Loss  0.868875, Time  0.424612
2021-09-23 07:30:50.347825 : Epoch  8, Batch     95, Loss  0.877081, Average Loss  0.868961, Time  0.412837
2021-09-23 07:30:55.293694 : Epoch  8, Batch     96, Loss  0.877057, Average Loss  0.869005, Time  0.413137
2021-09-23 07:31:00.236939 : Epoch  8, Batch     97, Loss  0.879100, Average Loss  0.869069, Time  0.413372
2021-09-23 07:31:05.255768 : Epoch  8, Batch     98, Loss  0.870919, Average Loss  0.869055, Time  0.413012
2021-09-23 07:31:10.199019 : Epoch  8, Batch     99, Loss  0.881806, Average Loss  0.869210, Time  0.412820
2021-09-23 07:31:15.145900 : Epoch  8, Batch    100, Loss  0.882193, Average Loss  0.869282, Time  0.414268
2021-09-23 07:31:20.125870 : Epoch  8, Batch    101, Loss  0.866028, Average Loss  0.869383, Time  0.455886
2021-09-23 07:31:25.079978 : Epoch  8, Batch    102, Loss  0.873049, Average Loss  0.869379, Time  0.414345
2021-09-23 07:31:30.031767 : Epoch  8, Batch    103, Loss  0.847182, Average Loss  0.869290, Time  0.413744
2021-09-23 07:31:34.976891 : Epoch  8, Batch    104, Loss  0.873744, Average Loss  0.869309, Time  0.414111
2021-09-23 07:35:30.914718 : CheckPoint: Validation Loss  0.00014986, Best Loss  0.00014643
2021-09-23 07:35:35.851005 : Epoch  8, Batch    105, Loss  0.875538, Average Loss  0.869350, Time  0.414480
2021-09-23 07:35:40.782981 : Epoch  8, Batch    106, Loss  0.878307, Average Loss  0.869404, Time  0.412860
2021-09-23 07:35:45.730977 : Epoch  8, Batch    107, Loss  0.885507, Average Loss  0.869498, Time  0.413199
2021-09-23 07:35:50.672813 : Epoch  8, Batch    108, Loss  0.864855, Average Loss  0.869490, Time  0.413183
2021-09-23 07:35:55.630797 : Epoch  8, Batch    109, Loss  0.875009, Average Loss  0.869531, Time  0.412907
2021-09-23 07:36:00.617492 : Epoch  8, Batch    110, Loss  0.871112, Average Loss  0.869592, Time  0.450734
2021-09-23 07:36:05.653865 : Epoch  8, Batch    111, Loss  0.872656, Average Loss  0.869703, Time  0.414175
2021-09-23 07:36:10.599077 : Epoch  8, Batch    112, Loss  0.864382, Average Loss  0.869709, Time  0.413180
2021-09-23 07:36:15.545991 : Epoch  8, Batch    113, Loss  0.872144, Average Loss  0.869685, Time  0.413622
2021-09-23 07:36:20.483922 : Epoch  8, Batch    114, Loss  0.868454, Average Loss  0.869724, Time  0.413825
2021-09-23 07:36:25.426005 : Epoch  8, Batch    115, Loss  0.877796, Average Loss  0.869727, Time  0.413635
2021-09-23 07:36:30.366073 : Epoch  8, Batch    116, Loss  0.875708, Average Loss  0.869787, Time  0.412917
2021-09-23 07:36:35.320754 : Epoch  8, Batch    117, Loss  0.860201, Average Loss  0.869742, Time  0.423091
2021-09-23 07:36:40.268829 : Epoch  8, Batch    118, Loss  0.865434, Average Loss  0.869685, Time  0.413099
2021-09-23 07:36:45.210457 : Epoch  8, Batch    119, Loss  0.888910, Average Loss  0.869821, Time  0.412937
2021-09-23 07:36:50.172060 : Epoch  8, Batch    120, Loss  0.875419, Average Loss  0.869862, Time  0.433365
2021-09-23 07:36:55.103712 : Epoch  8, Batch    121, Loss  0.868626, Average Loss  0.869907, Time  0.413682
2021-09-23 07:37:00.057764 : Epoch  8, Batch    122, Loss  0.876639, Average Loss  0.869974, Time  0.413518
2021-09-23 07:37:04.999313 : Epoch  8, Batch    123, Loss  0.872911, Average Loss  0.870101, Time  0.413304
2021-09-23 07:37:09.957374 : Epoch  8, Batch    124, Loss  0.885057, Average Loss  0.870245, Time  0.414203
2021-09-23 07:37:14.894915 : Epoch  8, Batch    125, Loss  0.869251, Average Loss  0.870281, Time  0.413989
2021-09-23 07:37:19.844830 : Epoch  8, Batch    126, Loss  0.869784, Average Loss  0.870189, Time  0.413688
2021-09-23 07:37:24.795058 : Epoch  8, Batch    127, Loss  0.872165, Average Loss  0.870181, Time  0.414037
2021-09-23 07:37:29.746739 : Epoch  8, Batch    128, Loss  0.860322, Average Loss  0.870086, Time  0.413450
2021-09-23 07:37:34.721814 : Epoch  8, Batch    129, Loss  0.866339, Average Loss  0.870123, Time  0.445496
2021-09-23 07:37:39.672744 : Epoch  8, Batch    130, Loss  0.863732, Average Loss  0.870114, Time  0.413359
2021-09-23 07:37:44.623950 : Epoch  8, Batch    131, Loss  0.863317, Average Loss  0.870067, Time  0.413098
2021-09-23 07:37:49.561833 : Epoch  8, Batch    132, Loss  0.862380, Average Loss  0.870030, Time  0.412969
2021-09-23 07:37:54.497826 : Epoch  8, Batch    133, Loss  0.868327, Average Loss  0.869992, Time  0.413182
2021-09-23 07:37:59.433863 : Epoch  8, Batch    134, Loss  0.853402, Average Loss  0.869884, Time  0.413359
2021-09-23 07:38:04.370766 : Epoch  8, Batch    135, Loss  0.865714, Average Loss  0.869811, Time  0.413352
2021-09-23 07:38:09.321016 : Epoch  8, Batch    136, Loss  0.861297, Average Loss  0.869765, Time  0.414079
2021-09-23 07:38:14.269874 : Epoch  8, Batch    137, Loss  0.876376, Average Loss  0.869856, Time  0.413099
2021-09-23 07:38:19.218081 : Epoch  8, Batch    138, Loss  0.880494, Average Loss  0.869939, Time  0.414055
2021-09-23 07:38:24.200979 : Epoch  8, Batch    139, Loss  0.863360, Average Loss  0.869868, Time  0.459480
2021-09-23 07:38:29.169751 : Epoch  8, Batch    140, Loss  0.862848, Average Loss  0.869933, Time  0.414936
2021-09-23 07:38:34.124781 : Epoch  8, Batch    141, Loss  0.859181, Average Loss  0.869909, Time  0.421517
2021-09-23 07:38:39.071798 : Epoch  8, Batch    142, Loss  0.868098, Average Loss  0.869808, Time  0.412983
2021-09-23 07:38:44.027717 : Epoch  8, Batch    143, Loss  0.859164, Average Loss  0.869723, Time  0.413313
2021-09-23 07:38:48.968767 : Epoch  8, Batch    144, Loss  0.884839, Average Loss  0.869781, Time  0.412882
2021-09-23 07:38:53.905758 : Epoch  8, Batch    145, Loss  0.868405, Average Loss  0.869857, Time  0.413076
2021-09-23 07:38:58.842872 : Epoch  8, Batch    146, Loss  0.865905, Average Loss  0.869813, Time  0.413296
2021-09-23 07:39:03.831760 : Epoch  8, Batch    147, Loss  0.858140, Average Loss  0.869698, Time  0.412997
2021-09-23 07:39:08.800332 : Epoch  8, Batch    148, Loss  0.856368, Average Loss  0.869638, Time  0.438622
2021-09-23 07:39:13.742847 : Epoch  8, Batch    149, Loss  0.877636, Average Loss  0.869668, Time  0.414142
2021-09-23 07:39:18.683868 : Epoch  8, Batch    150, Loss  0.880265, Average Loss  0.869735, Time  0.413741
2021-09-23 07:39:23.622044 : Epoch  8, Batch    151, Loss  0.872127, Average Loss  0.869754, Time  0.413818
2021-09-23 07:39:28.571857 : Epoch  8, Batch    152, Loss  0.855481, Average Loss  0.869650, Time  0.413296
2021-09-23 07:39:33.521762 : Epoch  8, Batch    153, Loss  0.871651, Average Loss  0.869695, Time  0.418520
2021-09-23 07:39:38.460703 : Epoch  8, Batch    154, Loss  0.870511, Average Loss  0.869657, Time  0.413157
2021-09-23 07:39:43.443846 : Epoch  8, Batch    155, Loss  0.875301, Average Loss  0.869742, Time  0.413963
2021-09-23 07:39:48.392753 : Epoch  8, Batch    156, Loss  0.877995, Average Loss  0.869794, Time  0.413058
2021-09-23 07:39:53.387777 : Epoch  8, Batch    157, Loss  0.886201, Average Loss  0.869906, Time  0.466807
2021-09-23 07:39:58.344750 : Epoch  8, Batch    158, Loss  0.860110, Average Loss  0.869839, Time  0.415873
2021-09-23 07:40:03.301703 : Epoch  8, Batch    159, Loss  0.867309, Average Loss  0.869819, Time  0.414840
2021-09-23 07:40:08.241814 : Epoch  8, Batch    160, Loss  0.876599, Average Loss  0.869830, Time  0.412790
2021-09-23 07:40:13.179072 : Epoch  8, Batch    161, Loss  0.872858, Average Loss  0.869754, Time  0.413329
2021-09-23 07:40:18.125139 : Epoch  8, Batch    162, Loss  0.878995, Average Loss  0.869833, Time  0.414119
2021-09-23 07:40:23.066909 : Epoch  8, Batch    163, Loss  0.859505, Average Loss  0.869803, Time  0.413921
2021-09-23 07:40:28.003938 : Epoch  8, Batch    164, Loss  0.855864, Average Loss  0.869728, Time  0.413721
2021-09-23 07:40:32.952782 : Epoch  8, Batch    165, Loss  0.857399, Average Loss  0.869736, Time  0.413724
2021-09-23 07:40:37.899893 : Epoch  8, Batch    166, Loss  0.866098, Average Loss  0.869735, Time  0.413695
2021-09-23 07:40:42.882678 : Epoch  8, Batch    167, Loss  0.878134, Average Loss  0.869770, Time  0.456429
2021-09-23 07:40:47.827764 : Epoch  8, Batch    168, Loss  0.860417, Average Loss  0.869656, Time  0.413292
2021-09-23 07:40:52.759931 : Epoch  8, Batch    169, Loss  0.858457, Average Loss  0.869624, Time  0.413024
2021-09-23 07:40:57.718859 : Epoch  8, Batch    170, Loss  0.861494, Average Loss  0.869594, Time  0.414478
2021-09-23 07:41:02.653905 : Epoch  8, Batch    171, Loss  0.857903, Average Loss  0.869480, Time  0.412896
2021-09-23 07:41:07.595895 : Epoch  8, Batch    172, Loss  0.868120, Average Loss  0.869498, Time  0.413404
2021-09-23 07:41:12.537980 : Epoch  8, Batch    173, Loss  0.871166, Average Loss  0.869463, Time  0.413131
2021-09-23 07:41:17.491730 : Epoch  8, Batch    174, Loss  0.874906, Average Loss  0.869526, Time  0.413178
2021-09-23 07:41:22.428952 : Epoch  8, Batch    175, Loss  0.872823, Average Loss  0.869544, Time  0.414855
2021-09-23 07:41:27.378025 : Epoch  8, Batch    176, Loss  0.860278, Average Loss  0.869434, Time  0.414777
2021-09-23 07:41:32.362982 : Epoch  8, Batch    177, Loss  0.860391, Average Loss  0.869419, Time  0.460995
2021-09-23 07:41:37.304857 : Epoch  8, Batch    178, Loss  0.864615, Average Loss  0.869418, Time  0.413980
2021-09-23 07:41:42.248906 : Epoch  8, Batch    179, Loss  0.872875, Average Loss  0.869378, Time  0.413110
2021-09-23 07:41:47.189748 : Epoch  8, Batch    180, Loss  0.858632, Average Loss  0.869336, Time  0.412884
2021-09-23 07:41:52.132738 : Epoch  8, Batch    181, Loss  0.862287, Average Loss  0.869225, Time  0.413212
2021-09-23 07:41:57.079800 : Epoch  8, Batch    182, Loss  0.878067, Average Loss  0.869303, Time  0.413425
2021-09-23 07:42:02.054969 : Epoch  8, Batch    183, Loss  0.854976, Average Loss  0.869154, Time  0.413093
2021-09-23 07:42:06.996907 : Epoch  8, Batch    184, Loss  0.875010, Average Loss  0.869116, Time  0.413372
2021-09-23 07:42:11.954902 : Epoch  8, Batch    185, Loss  0.873247, Average Loss  0.869115, Time  0.412985
2021-09-23 07:42:16.927256 : Epoch  8, Batch    186, Loss  0.878621, Average Loss  0.869170, Time  0.452114
2021-09-23 07:42:21.871984 : Epoch  8, Batch    187, Loss  0.877819, Average Loss  0.869266, Time  0.413328
2021-09-23 07:42:26.830039 : Epoch  8, Batch    188, Loss  0.878573, Average Loss  0.869363, Time  0.414377
2021-09-23 07:42:31.780113 : Epoch  8, Batch    189, Loss  0.871665, Average Loss  0.869353, Time  0.414566
2021-09-23 07:42:36.719403 : Epoch  8, Batch    190, Loss  0.873085, Average Loss  0.869389, Time  0.413253
2021-09-23 07:42:41.678874 : Epoch  8, Batch    191, Loss  0.852678, Average Loss  0.869297, Time  0.413735
2021-09-23 07:42:46.625314 : Epoch  8, Batch    192, Loss  0.870092, Average Loss  0.869303, Time  0.413270
2021-09-23 07:42:51.575944 : Epoch  8, Batch    193, Loss  0.869488, Average Loss  0.869334, Time  0.413172
2021-09-23 07:42:56.526898 : Epoch  8, Batch    194, Loss  0.892155, Average Loss  0.869373, Time  0.413377
2021-09-23 07:43:01.515818 : Epoch  8, Batch    195, Loss  0.872896, Average Loss  0.869456, Time  0.463322
2021-09-23 07:43:06.471411 : Epoch  8, Batch    196, Loss  0.872261, Average Loss  0.869460, Time  0.421592
2021-09-23 07:43:11.422751 : Epoch  8, Batch    197, Loss  0.875035, Average Loss  0.869479, Time  0.413832
2021-09-23 07:43:16.363142 : Epoch  8, Batch    198, Loss  0.859837, Average Loss  0.869400, Time  0.412868
2021-09-23 07:43:21.314145 : Epoch  8, Batch    199, Loss  0.864429, Average Loss  0.869404, Time  0.413517
2021-09-23 07:43:26.277227 : Epoch  8, Batch    200, Loss  0.870905, Average Loss  0.869338, Time  0.414561
2021-09-23 07:43:31.262073 : Epoch  8, Batch    201, Loss  0.875010, Average Loss  0.869408, Time  0.413482
2021-09-23 07:43:36.214762 : Epoch  8, Batch    202, Loss  0.875100, Average Loss  0.869507, Time  0.413997
2021-09-23 07:43:41.156734 : Epoch  8, Batch    203, Loss  0.869828, Average Loss  0.869477, Time  0.413317
2021-09-23 07:43:46.104724 : Epoch  8, Batch    204, Loss  0.878131, Average Loss  0.869544, Time  0.413211
2021-09-23 07:47:42.406734 : CheckPoint: Validation Loss  0.00015313, Best Loss  0.00014643
2021-09-23 07:47:47.397988 : Epoch  8, Batch    205, Loss  0.881538, Average Loss  0.869543, Time  0.429972
2021-09-23 07:47:52.341827 : Epoch  8, Batch    206, Loss  0.869375, Average Loss  0.869504, Time  0.412890
2021-09-23 07:47:57.337445 : Epoch  8, Batch    207, Loss  0.882622, Average Loss  0.869555, Time  0.413100
2021-09-23 07:48:02.284830 : Epoch  8, Batch    208, Loss  0.867639, Average Loss  0.869534, Time  0.413183
2021-09-23 07:48:07.246901 : Epoch  8, Batch    209, Loss  0.864030, Average Loss  0.869541, Time  0.413172
2021-09-23 07:48:12.211915 : Epoch  8, Batch    210, Loss  0.864663, Average Loss  0.869472, Time  0.413016
2021-09-23 07:48:17.164908 : Epoch  8, Batch    211, Loss  0.870658, Average Loss  0.869483, Time  0.414180
2021-09-23 07:48:22.129293 : Epoch  8, Batch    212, Loss  0.869497, Average Loss  0.869480, Time  0.414117
2021-09-23 07:48:27.068944 : Epoch  8, Batch    213, Loss  0.855224, Average Loss  0.869451, Time  0.413669
2021-09-23 07:48:32.066373 : Epoch  8, Batch    214, Loss  0.870801, Average Loss  0.869451, Time  0.456999
2021-09-23 07:48:37.012944 : Epoch  8, Batch    215, Loss  0.873477, Average Loss  0.869479, Time  0.413657
2021-09-23 07:48:41.973035 : Epoch  8, Batch    216, Loss  0.857949, Average Loss  0.869454, Time  0.413566
2021-09-23 07:48:46.909981 : Epoch  8, Batch    217, Loss  0.865611, Average Loss  0.869385, Time  0.413701
2021-09-23 07:48:51.846935 : Epoch  8, Batch    218, Loss  0.873899, Average Loss  0.869457, Time  0.413021
2021-09-23 07:48:56.792034 : Epoch  8, Batch    219, Loss  0.875539, Average Loss  0.869506, Time  0.413292
2021-09-23 07:49:01.802778 : Epoch  8, Batch    220, Loss  0.864232, Average Loss  0.869501, Time  0.412977
2021-09-23 07:49:06.768049 : Epoch  8, Batch    221, Loss  0.882689, Average Loss  0.869596, Time  0.413538
2021-09-23 07:49:11.697747 : Epoch  8, Batch    222, Loss  0.866433, Average Loss  0.869614, Time  0.412821
2021-09-23 07:49:15.400799 : Epoch  8, Batch    223, Loss  0.863142, Average Loss  0.869572, Time  0.351942
2021-09-23 07:49:20.357829 : Epoch  8, Batch    224, Loss  0.871843, Average Loss  0.869613, Time  0.420836
2021-09-23 07:49:25.311001 : Epoch  8, Batch    225, Loss  0.854827, Average Loss  0.869504, Time  0.413449
2021-09-23 07:49:30.247290 : Epoch  8, Batch    226, Loss  0.862436, Average Loss  0.869496, Time  0.413930
2021-09-23 07:49:35.195896 : Epoch  8, Batch    227, Loss  0.873473, Average Loss  0.869486, Time  0.413249
2021-09-23 07:49:40.146309 : Epoch  8, Batch    228, Loss  0.869557, Average Loss  0.869524, Time  0.414863
2021-09-23 07:49:45.091733 : Epoch  8, Batch    229, Loss  0.882002, Average Loss  0.869664, Time  0.413035
2021-09-23 07:49:50.032862 : Epoch  8, Batch    230, Loss  0.855894, Average Loss  0.869622, Time  0.413327
2021-09-23 07:49:54.973942 : Epoch  8, Batch    231, Loss  0.880379, Average Loss  0.869656, Time  0.412732
2021-09-23 07:49:59.960887 : Epoch  8, Batch    232, Loss  0.868309, Average Loss  0.869671, Time  0.413365
2021-09-23 07:50:04.969928 : Epoch  8, Batch    233, Loss  0.860765, Average Loss  0.869628, Time  0.459063
2021-09-23 07:50:09.917769 : Epoch  8, Batch    234, Loss  0.877457, Average Loss  0.869702, Time  0.412866
2021-09-23 07:50:14.866319 : Epoch  8, Batch    235, Loss  0.884423, Average Loss  0.869740, Time  0.413255
2021-09-23 07:50:19.820747 : Epoch  8, Batch    236, Loss  0.860771, Average Loss  0.869684, Time  0.413153
2021-09-23 07:50:24.789973 : Epoch  8, Batch    237, Loss  0.873524, Average Loss  0.869676, Time  0.414860
2021-09-23 07:50:29.730267 : Epoch  8, Batch    238, Loss  0.875029, Average Loss  0.869725, Time  0.413167
2021-09-23 07:50:34.672950 : Epoch  8, Batch    239, Loss  0.862793, Average Loss  0.869694, Time  0.413502
2021-09-23 07:50:39.611103 : Epoch  8, Batch    240, Loss  0.854008, Average Loss  0.869645, Time  0.413529
2021-09-23 07:50:44.560957 : Epoch  8, Batch    241, Loss  0.864281, Average Loss  0.869656, Time  0.413418
2021-09-23 07:50:49.564991 : Epoch  8, Batch    242, Loss  0.856748, Average Loss  0.869576, Time  0.435255
2021-09-23 07:50:54.493774 : Epoch  8, Batch    243, Loss  0.886815, Average Loss  0.869694, Time  0.412776
2021-09-23 07:50:59.489723 : Epoch  8, Batch    244, Loss  0.866234, Average Loss  0.869595, Time  0.413868
2021-09-23 07:51:04.446754 : Epoch  8, Batch    245, Loss  0.870829, Average Loss  0.869580, Time  0.414315
2021-09-23 07:51:09.401729 : Epoch  8, Batch    246, Loss  0.858595, Average Loss  0.869546, Time  0.412815
2021-09-23 07:51:14.358972 : Epoch  8, Batch    247, Loss  0.869930, Average Loss  0.869591, Time  0.413260
2021-09-23 07:51:19.295902 : Epoch  8, Batch    248, Loss  0.862807, Average Loss  0.869592, Time  0.412935
2021-09-23 07:51:24.236446 : Epoch  8, Batch    249, Loss  0.869996, Average Loss  0.869544, Time  0.413536
2021-09-23 07:51:29.211792 : Epoch  8, Batch    250, Loss  0.878768, Average Loss  0.869627, Time  0.414504
2021-09-23 07:51:34.176005 : Epoch  8, Batch    251, Loss  0.876226, Average Loss  0.869657, Time  0.413562
2021-09-23 07:51:39.239787 : Epoch  8, Batch    252, Loss  0.867570, Average Loss  0.869690, Time  0.457073
2021-09-23 07:51:44.199749 : Epoch  8, Batch    253, Loss  0.850007, Average Loss  0.869566, Time  0.413798
2021-09-23 07:51:49.153891 : Epoch  8, Batch    254, Loss  0.872092, Average Loss  0.869528, Time  0.413385
2021-09-23 07:51:54.100823 : Epoch  8, Batch    255, Loss  0.878523, Average Loss  0.869628, Time  0.413328
2021-09-23 07:51:59.066043 : Epoch  8, Batch    256, Loss  0.865342, Average Loss  0.869634, Time  0.413112
2021-09-23 07:52:04.044841 : Epoch  8, Batch    257, Loss  0.875048, Average Loss  0.869644, Time  0.413300
2021-09-23 07:52:08.997830 : Epoch  8, Batch    258, Loss  0.870500, Average Loss  0.869568, Time  0.412668
2021-09-23 07:52:13.950892 : Epoch  8, Batch    259, Loss  0.863190, Average Loss  0.869481, Time  0.412871
2021-09-23 07:52:18.901809 : Epoch  8, Batch    260, Loss  0.871337, Average Loss  0.869481, Time  0.413255
2021-09-23 07:52:23.918002 : Epoch  8, Batch    261, Loss  0.868846, Average Loss  0.869424, Time  0.461815
2021-09-23 07:52:28.866836 : Epoch  8, Batch    262, Loss  0.877032, Average Loss  0.869434, Time  0.414230
2021-09-23 07:52:33.833950 : Epoch  8, Batch    263, Loss  0.874053, Average Loss  0.869535, Time  0.414849
2021-09-23 07:52:38.789128 : Epoch  8, Batch    264, Loss  0.879887, Average Loss  0.869607, Time  0.413738
2021-09-23 07:52:43.819718 : Epoch  8, Batch    265, Loss  0.860997, Average Loss  0.869553, Time  0.413425
2021-09-23 07:52:48.781724 : Epoch  8, Batch    266, Loss  0.868810, Average Loss  0.869671, Time  0.414198
2021-09-23 07:52:53.736914 : Epoch  8, Batch    267, Loss  0.876664, Average Loss  0.869718, Time  0.413210
2021-09-23 07:52:58.689758 : Epoch  8, Batch    268, Loss  0.868442, Average Loss  0.869675, Time  0.413228
2021-09-23 07:53:03.650774 : Epoch  8, Batch    269, Loss  0.875430, Average Loss  0.869666, Time  0.413359
2021-09-23 07:53:08.643359 : Epoch  8, Batch    270, Loss  0.870576, Average Loss  0.869664, Time  0.451214
2021-09-23 07:53:13.594717 : Epoch  8, Batch    271, Loss  0.870520, Average Loss  0.869694, Time  0.412953
2021-09-23 07:53:18.554764 : Epoch  8, Batch    272, Loss  0.884868, Average Loss  0.869753, Time  0.413191
2021-09-23 07:53:23.521820 : Epoch  8, Batch    273, Loss  0.869519, Average Loss  0.869662, Time  0.413646
2021-09-23 07:53:28.476733 : Epoch  8, Batch    274, Loss  0.877478, Average Loss  0.869685, Time  0.413188
2021-09-23 07:53:33.444958 : Epoch  8, Batch    275, Loss  0.865890, Average Loss  0.869754, Time  0.415845
2021-09-23 07:53:38.404943 : Epoch  8, Batch    276, Loss  0.878349, Average Loss  0.869766, Time  0.413260
2021-09-23 07:53:43.349232 : Epoch  8, Batch    277, Loss  0.864774, Average Loss  0.869709, Time  0.413618
2021-09-23 07:53:48.298803 : Epoch  8, Batch    278, Loss  0.866911, Average Loss  0.869632, Time  0.413676
2021-09-23 07:53:53.269045 : Epoch  8, Batch    279, Loss  0.847460, Average Loss  0.869558, Time  0.414113
2021-09-23 07:53:58.271905 : Epoch  8, Batch    280, Loss  0.869821, Average Loss  0.869545, Time  0.463892
2021-09-23 07:54:03.243891 : Epoch  8, Batch    281, Loss  0.863312, Average Loss  0.869578, Time  0.419464
2021-09-23 07:54:08.217741 : Epoch  8, Batch    282, Loss  0.862219, Average Loss  0.869561, Time  0.413571
2021-09-23 07:54:13.181922 : Epoch  8, Batch    283, Loss  0.860469, Average Loss  0.869538, Time  0.412991
2021-09-23 07:54:18.144891 : Epoch  8, Batch    284, Loss  0.878512, Average Loss  0.869550, Time  0.413187
2021-09-23 07:54:23.098618 : Epoch  8, Batch    285, Loss  0.882576, Average Loss  0.869628, Time  0.413209
2021-09-23 07:54:28.059701 : Epoch  8, Batch    286, Loss  0.869712, Average Loss  0.869711, Time  0.412902
2021-09-23 07:54:33.024954 : Epoch  8, Batch    287, Loss  0.859250, Average Loss  0.869628, Time  0.413251
2021-09-23 07:54:37.980961 : Epoch  8, Batch    288, Loss  0.872775, Average Loss  0.869588, Time  0.414082
2021-09-23 07:54:43.000744 : Epoch  8, Batch    289, Loss  0.874525, Average Loss  0.869564, Time  0.455693
2021-09-23 07:54:47.962839 : Epoch  8, Batch    290, Loss  0.862869, Average Loss  0.869507, Time  0.413656
2021-09-23 07:54:52.905920 : Epoch  8, Batch    291, Loss  0.880158, Average Loss  0.869598, Time  0.413151
2021-09-23 07:54:57.865078 : Epoch  8, Batch    292, Loss  0.865147, Average Loss  0.869580, Time  0.413348
2021-09-23 07:55:02.843914 : Epoch  8, Batch    293, Loss  0.873097, Average Loss  0.869637, Time  0.413336
2021-09-23 07:55:07.794907 : Epoch  8, Batch    294, Loss  0.860604, Average Loss  0.869641, Time  0.413054
2021-09-23 07:55:12.753729 : Epoch  8, Batch    295, Loss  0.874454, Average Loss  0.869628, Time  0.413386
2021-09-23 07:55:17.717996 : Epoch  8, Batch    296, Loss  0.869566, Average Loss  0.869591, Time  0.413433
2021-09-23 07:55:22.731781 : Epoch  8, Batch    297, Loss  0.858143, Average Loss  0.869486, Time  0.413933
2021-09-23 07:55:27.743853 : Epoch  8, Batch    298, Loss  0.854275, Average Loss  0.869403, Time  0.463323
2021-09-23 07:55:32.727748 : Epoch  8, Batch    299, Loss  0.851302, Average Loss  0.869250, Time  0.415525
2021-09-23 07:55:37.697662 : Epoch  8, Batch    300, Loss  0.877246, Average Loss  0.869225, Time  0.413269
2021-09-23 07:55:42.669748 : Epoch  8, Batch    301, Loss  0.871207, Average Loss  0.869251, Time  0.414262
2021-09-23 07:55:47.630925 : Epoch  8, Batch    302, Loss  0.860934, Average Loss  0.869191, Time  0.413861
2021-09-23 07:55:52.602746 : Epoch  8, Batch    303, Loss  0.868471, Average Loss  0.869297, Time  0.413783
2021-09-23 07:55:57.572962 : Epoch  8, Batch    304, Loss  0.879555, Average Loss  0.869326, Time  0.413384
2021-09-23 07:59:54.739726 : CheckPoint: Validation Loss  0.00015342, Best Loss  0.00014643
2021-09-23 07:59:59.693835 : Epoch  8, Batch    305, Loss  0.869988, Average Loss  0.869298, Time  0.414572
2021-09-23 08:00:04.698794 : Epoch  8, Batch    306, Loss  0.872042, Average Loss  0.869267, Time  0.456301
2021-09-23 08:00:09.650743 : Epoch  8, Batch    307, Loss  0.870138, Average Loss  0.869190, Time  0.413071
2021-09-23 08:00:14.610126 : Epoch  8, Batch    308, Loss  0.876774, Average Loss  0.869250, Time  0.419066
2021-09-23 08:00:19.558898 : Epoch  8, Batch    309, Loss  0.868151, Average Loss  0.869216, Time  0.413011
2021-09-23 08:00:24.500977 : Epoch  8, Batch    310, Loss  0.869835, Average Loss  0.869209, Time  0.413191
2021-09-23 08:00:29.467559 : Epoch  8, Batch    311, Loss  0.869931, Average Loss  0.869196, Time  0.413215
2021-09-23 08:00:34.413929 : Epoch  8, Batch    312, Loss  0.857393, Average Loss  0.869161, Time  0.414421
2021-09-23 08:00:39.372970 : Epoch  8, Batch    313, Loss  0.869227, Average Loss  0.869146, Time  0.414099
2021-09-23 08:00:44.321940 : Epoch  8, Batch    314, Loss  0.872430, Average Loss  0.869166, Time  0.413302
2021-09-23 08:00:49.337753 : Epoch  8, Batch    315, Loss  0.867620, Average Loss  0.869115, Time  0.414280
2021-09-23 08:00:54.343091 : Epoch  8, Batch    316, Loss  0.876087, Average Loss  0.869117, Time  0.466241
2021-09-23 08:00:59.299763 : Epoch  8, Batch    317, Loss  0.859834, Average Loss  0.869115, Time  0.415498
2021-09-23 08:01:04.244732 : Epoch  8, Batch    318, Loss  0.869484, Average Loss  0.869135, Time  0.412919
2021-09-23 08:01:09.187708 : Epoch  8, Batch    319, Loss  0.876803, Average Loss  0.869075, Time  0.412762
2021-09-23 08:01:14.132784 : Epoch  8, Batch    320, Loss  0.858917, Average Loss  0.868992, Time  0.413401
2021-09-23 08:01:19.085889 : Epoch  8, Batch    321, Loss  0.871819, Average Loss  0.869008, Time  0.412794
2021-09-23 08:01:24.031897 : Epoch  8, Batch    322, Loss  0.856989, Average Loss  0.868910, Time  0.413273
2021-09-23 08:01:28.965881 : Epoch  8, Batch    323, Loss  0.866361, Average Loss  0.868877, Time  0.413450
2021-09-23 08:01:33.920024 : Epoch  8, Batch    324, Loss  0.869393, Average Loss  0.868799, Time  0.414302
2021-09-23 08:01:38.916974 : Epoch  8, Batch    325, Loss  0.869816, Average Loss  0.868802, Time  0.460109
2021-09-23 08:01:43.866991 : Epoch  8, Batch    326, Loss  0.868815, Average Loss  0.868797, Time  0.413551
2021-09-23 08:01:48.831752 : Epoch  8, Batch    327, Loss  0.872304, Average Loss  0.868798, Time  0.413763
2021-09-23 08:01:53.776878 : Epoch  8, Batch    328, Loss  0.876633, Average Loss  0.868879, Time  0.413021
2021-09-23 08:01:58.734951 : Epoch  8, Batch    329, Loss  0.877275, Average Loss  0.868934, Time  0.413654
2021-09-23 08:02:03.769482 : Epoch  8, Batch    330, Loss  0.873722, Average Loss  0.868984, Time  0.413158
2021-09-23 08:02:08.762861 : Epoch  8, Batch    331, Loss  0.886292, Average Loss  0.869099, Time  0.412874
2021-09-23 08:02:13.711795 : Epoch  8, Batch    332, Loss  0.866714, Average Loss  0.869120, Time  0.413354
2021-09-23 08:02:18.672898 : Epoch  8, Batch    333, Loss  0.890945, Average Loss  0.869233, Time  0.412862
2021-09-23 08:02:23.644541 : Epoch  8, Batch    334, Loss  0.863460, Average Loss  0.869284, Time  0.455999
2021-09-23 08:02:28.585325 : Epoch  8, Batch    335, Loss  0.874489, Average Loss  0.869328, Time  0.413300
2021-09-23 08:02:33.540997 : Epoch  8, Batch    336, Loss  0.883217, Average Loss  0.869437, Time  0.412913
2021-09-23 08:02:38.509871 : Epoch  8, Batch    337, Loss  0.867014, Average Loss  0.869390, Time  0.414307
2021-09-23 08:02:43.463278 : Epoch  8, Batch    338, Loss  0.868876, Average Loss  0.869332, Time  0.413702
2021-09-23 08:02:48.408916 : Epoch  8, Batch    339, Loss  0.871287, Average Loss  0.869372, Time  0.413904
2021-09-23 08:02:53.356966 : Epoch  8, Batch    340, Loss  0.865532, Average Loss  0.869385, Time  0.414186
2021-09-23 08:02:58.356869 : Epoch  8, Batch    341, Loss  0.866845, Average Loss  0.869424, Time  0.413247
2021-09-23 08:03:03.302919 : Epoch  8, Batch    342, Loss  0.867382, Average Loss  0.869420, Time  0.413259
2021-09-23 08:03:08.302846 : Epoch  8, Batch    343, Loss  0.868020, Average Loss  0.869464, Time  0.413011
2021-09-23 08:03:13.299977 : Epoch  8, Batch    344, Loss  0.864792, Average Loss  0.869364, Time  0.460184
2021-09-23 08:03:18.241899 : Epoch  8, Batch    345, Loss  0.860974, Average Loss  0.869327, Time  0.413209
2021-09-23 08:03:23.193161 : Epoch  8, Batch    346, Loss  0.866890, Average Loss  0.869332, Time  0.413452
2021-09-23 08:03:28.144029 : Epoch  8, Batch    347, Loss  0.873544, Average Loss  0.869409, Time  0.413209
2021-09-23 08:03:33.084727 : Epoch  8, Batch    348, Loss  0.873073, Average Loss  0.869492, Time  0.413247
2021-09-23 08:03:38.033873 : Epoch  8, Batch    349, Loss  0.860876, Average Loss  0.869409, Time  0.412885
2021-09-23 08:03:42.983965 : Epoch  8, Batch    350, Loss  0.856881, Average Loss  0.869292, Time  0.414414
2021-09-23 08:03:47.941985 : Epoch  8, Batch    351, Loss  0.868686, Average Loss  0.869274, Time  0.414787
2021-09-23 08:03:52.897082 : Epoch  8, Batch    352, Loss  0.869211, Average Loss  0.869343, Time  0.415156
2021-09-23 08:03:57.896040 : Epoch  8, Batch    353, Loss  0.860746, Average Loss  0.869289, Time  0.450019
2021-09-23 08:04:02.852788 : Epoch  8, Batch    354, Loss  0.869802, Average Loss  0.869285, Time  0.413001
2021-09-23 08:04:07.869920 : Epoch  8, Batch    355, Loss  0.880404, Average Loss  0.869311, Time  0.413985
2021-09-23 08:04:12.826712 : Epoch  8, Batch    356, Loss  0.862677, Average Loss  0.869234, Time  0.413213
2021-09-23 08:04:17.770827 : Epoch  8, Batch    357, Loss  0.881507, Average Loss  0.869211, Time  0.413181
2021-09-23 08:04:22.728810 : Epoch  8, Batch    358, Loss  0.871726, Average Loss  0.869269, Time  0.413155
2021-09-23 08:04:27.684718 : Epoch  8, Batch    359, Loss  0.874266, Average Loss  0.869303, Time  0.413905
2021-09-23 08:04:32.654911 : Epoch  8, Batch    360, Loss  0.884594, Average Loss  0.869343, Time  0.418643
2021-09-23 08:04:37.606784 : Epoch  8, Batch    361, Loss  0.855517, Average Loss  0.869257, Time  0.412845
2021-09-23 08:04:42.694796 : Epoch  8, Batch    362, Loss  0.876266, Average Loss  0.869243, Time  0.455454
2021-09-23 08:04:47.654038 : Epoch  8, Batch    363, Loss  0.863165, Average Loss  0.869261, Time  0.413446
2021-09-23 08:04:52.602012 : Epoch  8, Batch    364, Loss  0.868025, Average Loss  0.869322, Time  0.413872
2021-09-23 08:04:57.547948 : Epoch  8, Batch    365, Loss  0.857377, Average Loss  0.869322, Time  0.413185
2021-09-23 08:05:02.504719 : Epoch  8, Batch    366, Loss  0.869946, Average Loss  0.869341, Time  0.413746
2021-09-23 08:05:07.493726 : Epoch  8, Batch    367, Loss  0.871376, Average Loss  0.869307, Time  0.413077
2021-09-23 08:05:12.442850 : Epoch  8, Batch    368, Loss  0.866626, Average Loss  0.869339, Time  0.413191
2021-09-23 08:05:17.395849 : Epoch  8, Batch    369, Loss  0.862978, Average Loss  0.869361, Time  0.413183
2021-09-23 08:05:22.362717 : Epoch  8, Batch    370, Loss  0.870709, Average Loss  0.869407, Time  0.413283
2021-09-23 08:05:27.312914 : Epoch  8, Batch    371, Loss  0.877698, Average Loss  0.869506, Time  0.413090
2021-09-23 08:05:32.266924 : Epoch  8, Batch    372, Loss  0.879312, Average Loss  0.869562, Time  0.428387
2021-09-23 08:05:37.215775 : Epoch  8, Batch    373, Loss  0.879698, Average Loss  0.869605, Time  0.412826
2021-09-23 08:05:42.172716 : Epoch  8, Batch    374, Loss  0.892276, Average Loss  0.869692, Time  0.412976
2021-09-23 08:05:47.131925 : Epoch  8, Batch    375, Loss  0.867911, Average Loss  0.869667, Time  0.414239
2021-09-23 08:05:52.083003 : Epoch  8, Batch    376, Loss  0.854869, Average Loss  0.869640, Time  0.413515
2021-09-23 08:05:57.021966 : Epoch  8, Batch    377, Loss  0.883729, Average Loss  0.869757, Time  0.417037
2021-09-23 08:06:01.972741 : Epoch  8, Batch    378, Loss  0.877436, Average Loss  0.869821, Time  0.413399
2021-09-23 08:06:06.936064 : Epoch  8, Batch    379, Loss  0.874407, Average Loss  0.869829, Time  0.413204
2021-09-23 08:06:11.894929 : Epoch  8, Batch    380, Loss  0.877569, Average Loss  0.869923, Time  0.413479
2021-09-23 08:06:16.895977 : Epoch  8, Batch    381, Loss  0.878503, Average Loss  0.870004, Time  0.456429
2021-09-23 08:06:21.862958 : Epoch  8, Batch    382, Loss  0.870990, Average Loss  0.869969, Time  0.412963
2021-09-23 08:06:26.816719 : Epoch  8, Batch    383, Loss  0.868034, Average Loss  0.870034, Time  0.413305
2021-09-23 08:06:31.823323 : Epoch  8, Batch    384, Loss  0.893390, Average Loss  0.870126, Time  0.413737
2021-09-23 08:06:36.803883 : Epoch  8, Batch    385, Loss  0.877625, Average Loss  0.870148, Time  0.413327
2021-09-23 08:06:41.742374 : Epoch  8, Batch    386, Loss  0.881830, Average Loss  0.870164, Time  0.413454
2021-09-23 08:06:46.687879 : Epoch  8, Batch    387, Loss  0.852773, Average Loss  0.870039, Time  0.413040
2021-09-23 08:06:51.648894 : Epoch  8, Batch    388, Loss  0.873173, Average Loss  0.870012, Time  0.414169
2021-09-23 08:06:56.585024 : Epoch  8, Batch    389, Loss  0.852880, Average Loss  0.869918, Time  0.413878
2021-09-23 08:07:01.540968 : Epoch  8, Batch    390, Loss  0.879734, Average Loss  0.869951, Time  0.413426
2021-09-23 08:07:06.510704 : Epoch  8, Batch    391, Loss  0.857708, Average Loss  0.869976, Time  0.447289
2021-09-23 08:07:11.493789 : Epoch  8, Batch    392, Loss  0.867873, Average Loss  0.869965, Time  0.413147
2021-09-23 08:07:16.489909 : Epoch  8, Batch    393, Loss  0.879892, Average Loss  0.870017, Time  0.422999
2021-09-23 08:07:21.441990 : Epoch  8, Batch    394, Loss  0.847534, Average Loss  0.869794, Time  0.413206
2021-09-23 08:07:26.388960 : Epoch  8, Batch    395, Loss  0.859283, Average Loss  0.869726, Time  0.412827
2021-09-23 08:07:31.348933 : Epoch  8, Batch    396, Loss  0.861400, Average Loss  0.869672, Time  0.413294
2021-09-23 08:07:36.310866 : Epoch  8, Batch    397, Loss  0.867555, Average Loss  0.869634, Time  0.412892
2021-09-23 08:07:41.256998 : Epoch  8, Batch    398, Loss  0.880064, Average Loss  0.869735, Time  0.413141
2021-09-23 08:07:46.201544 : Epoch  8, Batch    399, Loss  0.880303, Average Loss  0.869815, Time  0.412941
2021-09-23 08:07:51.162726 : Epoch  8, Batch    400, Loss  0.886080, Average Loss  0.869891, Time  0.413524
2021-09-23 08:07:56.162942 : Epoch  8, Batch    401, Loss  0.885576, Average Loss  0.869944, Time  0.458174
2021-09-23 08:08:01.100953 : Epoch  8, Batch    402, Loss  0.867687, Average Loss  0.869906, Time  0.414335
2021-09-23 08:08:06.044899 : Epoch  8, Batch    403, Loss  0.876205, Average Loss  0.869938, Time  0.412962
2021-09-23 08:08:10.994980 : Epoch  8, Batch    404, Loss  0.873530, Average Loss  0.869915, Time  0.414124
2021-09-23 08:12:07.332744 : CheckPoint: Validation Loss  0.00015284, Best Loss  0.00014643
2021-09-23 08:12:12.289931 : Epoch  8, Batch    405, Loss  0.871497, Average Loss  0.869865, Time  0.414351
2021-09-23 08:12:17.250864 : Epoch  8, Batch    406, Loss  0.865839, Average Loss  0.869847, Time  0.413015
2021-09-23 08:12:22.201787 : Epoch  8, Batch    407, Loss  0.880448, Average Loss  0.869837, Time  0.413061
2021-09-23 08:12:27.156735 : Epoch  8, Batch    408, Loss  0.870101, Average Loss  0.869849, Time  0.413200
2021-09-23 08:12:32.109910 : Epoch  8, Batch    409, Loss  0.870233, Average Loss  0.869880, Time  0.414723
2021-09-23 08:12:37.104277 : Epoch  8, Batch    410, Loss  0.885215, Average Loss  0.869983, Time  0.463894
2021-09-23 08:12:42.071946 : Epoch  8, Batch    411, Loss  0.868999, Average Loss  0.869974, Time  0.421030
2021-09-23 08:12:47.032215 : Epoch  8, Batch    412, Loss  0.873690, Average Loss  0.869995, Time  0.413721
2021-09-23 08:12:51.986089 : Epoch  8, Batch    413, Loss  0.876006, Average Loss  0.870099, Time  0.413524
2021-09-23 08:12:56.936812 : Epoch  8, Batch    414, Loss  0.887957, Average Loss  0.870185, Time  0.414036
2021-09-23 08:13:01.906925 : Epoch  8, Batch    415, Loss  0.874616, Average Loss  0.870191, Time  0.414281
2021-09-23 08:13:06.849242 : Epoch  8, Batch    416, Loss  0.855184, Average Loss  0.870177, Time  0.413365
2021-09-23 08:13:11.878860 : Epoch  8, Batch    417, Loss  0.879051, Average Loss  0.870244, Time  0.413140
2021-09-23 08:13:16.837035 : Epoch  8, Batch    418, Loss  0.860166, Average Loss  0.870175, Time  0.413197
2021-09-23 08:13:21.836919 : Epoch  8, Batch    419, Loss  0.870701, Average Loss  0.870151, Time  0.461207
2021-09-23 08:13:26.783937 : Epoch  8, Batch    420, Loss  0.876922, Average Loss  0.870215, Time  0.413047
2021-09-23 08:13:31.795957 : Epoch  8, Batch    421, Loss  0.875218, Average Loss  0.870177, Time  0.412804
2021-09-23 08:13:36.738881 : Epoch  8, Batch    422, Loss  0.867322, Average Loss  0.870182, Time  0.413227
2021-09-23 08:13:41.683842 : Epoch  8, Batch    423, Loss  0.868275, Average Loss  0.870207, Time  0.412971
2021-09-23 08:13:46.635141 : Epoch  8, Batch    424, Loss  0.868882, Average Loss  0.870193, Time  0.414143
2021-09-23 08:13:51.582751 : Epoch  8, Batch    425, Loss  0.869671, Average Loss  0.870267, Time  0.414292
2021-09-23 08:13:56.544969 : Epoch  8, Batch    426, Loss  0.870524, Average Loss  0.870307, Time  0.414077
2021-09-23 08:14:01.482754 : Epoch  8, Batch    427, Loss  0.863427, Average Loss  0.870257, Time  0.413613
2021-09-23 08:14:06.436903 : Epoch  8, Batch    428, Loss  0.868492, Average Loss  0.870252, Time  0.414510
2021-09-23 08:14:11.417198 : Epoch  8, Batch    429, Loss  0.868663, Average Loss  0.870185, Time  0.451458
2021-09-23 08:14:16.388438 : Epoch  8, Batch    430, Loss  0.864982, Average Loss  0.870231, Time  0.413285
2021-09-23 08:14:21.367748 : Epoch  8, Batch    431, Loss  0.878688, Average Loss  0.870222, Time  0.413469
2021-09-23 08:14:26.360081 : Epoch  8, Batch    432, Loss  0.849896, Average Loss  0.870130, Time  0.413399
2021-09-23 08:14:31.309972 : Epoch  8, Batch    433, Loss  0.863876, Average Loss  0.870146, Time  0.412855
2021-09-23 08:14:36.415037 : Epoch  8, Batch    434, Loss  0.865728, Average Loss  0.870087, Time  0.413350
2021-09-23 08:14:41.392962 : Epoch  8, Batch    435, Loss  0.858410, Average Loss  0.869957, Time  0.414011
2021-09-23 08:14:46.334032 : Epoch  8, Batch    436, Loss  0.870175, Average Loss  0.870004, Time  0.413357
2021-09-23 08:14:51.284950 : Epoch  8, Batch    437, Loss  0.864071, Average Loss  0.869957, Time  0.414496
2021-09-23 08:14:56.285433 : Epoch  8, Batch    438, Loss  0.878790, Average Loss  0.869975, Time  0.452622
2021-09-23 08:15:01.262852 : Epoch  8, Batch    439, Loss  0.876716, Average Loss  0.870045, Time  0.413906
2021-09-23 08:15:06.277054 : Epoch  8, Batch    440, Loss  0.884278, Average Loss  0.870196, Time  0.413954
2021-09-23 08:15:11.234715 : Epoch  8, Batch    441, Loss  0.852279, Average Loss  0.870136, Time  0.412998
2021-09-23 08:15:16.234935 : Epoch  8, Batch    442, Loss  0.865333, Average Loss  0.870179, Time  0.413433
2021-09-23 08:15:21.188910 : Epoch  8, Batch    443, Loss  0.868867, Average Loss  0.870090, Time  0.412935
2021-09-23 08:15:26.152822 : Epoch  8, Batch    444, Loss  0.890080, Average Loss  0.870209, Time  0.413191
2021-09-23 08:15:31.095734 : Epoch  8, Batch    445, Loss  0.871131, Average Loss  0.870210, Time  0.413861
2021-09-23 08:15:36.047995 : Epoch  8, Batch    446, Loss  0.865217, Average Loss  0.870243, Time  0.413026
2021-09-23 08:15:41.027946 : Epoch  8, Batch    447, Loss  0.859712, Average Loss  0.870192, Time  0.452258
2021-09-23 08:15:45.975943 : Epoch  8, Batch    448, Loss  0.880659, Average Loss  0.870282, Time  0.413019
2021-09-23 08:15:51.011918 : Epoch  8, Batch    449, Loss  0.864123, Average Loss  0.870252, Time  0.414259
2021-09-23 08:15:55.959007 : Epoch  8, Batch    450, Loss  0.864772, Average Loss  0.870182, Time  0.413405
2021-09-23 08:16:00.928789 : Epoch  8, Batch    451, Loss  0.859984, Average Loss  0.870101, Time  0.414484
2021-09-23 08:16:05.899881 : Epoch  8, Batch    452, Loss  0.872597, Average Loss  0.870126, Time  0.413236
2021-09-23 08:16:10.852348 : Epoch  8, Batch    453, Loss  0.877877, Average Loss  0.870265, Time  0.414697
2021-09-23 08:16:15.817999 : Epoch  8, Batch    454, Loss  0.875655, Average Loss  0.870283, Time  0.413005
2021-09-23 08:16:20.762747 : Epoch  8, Batch    455, Loss  0.870829, Average Loss  0.870245, Time  0.413264
2021-09-23 08:16:25.762743 : Epoch  8, Batch    456, Loss  0.858137, Average Loss  0.870209, Time  0.461576
2021-09-23 08:16:30.703945 : Epoch  8, Batch    457, Loss  0.856555, Average Loss  0.870116, Time  0.413177
2021-09-23 08:16:35.653107 : Epoch  8, Batch    458, Loss  0.874664, Average Loss  0.870137, Time  0.413247
2021-09-23 08:16:40.604959 : Epoch  8, Batch    459, Loss  0.853241, Average Loss  0.870087, Time  0.413266
2021-09-23 08:16:45.551147 : Epoch  8, Batch    460, Loss  0.876425, Average Loss  0.870113, Time  0.413321
2021-09-23 08:16:50.495746 : Epoch  8, Batch    461, Loss  0.871279, Average Loss  0.870125, Time  0.412950
2021-09-23 08:16:55.467022 : Epoch  8, Batch    462, Loss  0.882690, Average Loss  0.870153, Time  0.414134
2021-09-23 08:17:00.414913 : Epoch  8, Batch    463, Loss  0.874812, Average Loss  0.870157, Time  0.414380
2021-09-23 08:17:05.371078 : Epoch  8, Batch    464, Loss  0.868865, Average Loss  0.870102, Time  0.413883
2021-09-23 08:17:10.299271 : Epoch  8, Batch    465, Loss  0.877386, Average Loss  0.870184, Time  0.413114
2021-09-23 08:17:15.296076 : Epoch  8, Batch    466, Loss  0.872671, Average Loss  0.870203, Time  0.465102
2021-09-23 08:17:20.248916 : Epoch  8, Batch    467, Loss  0.883674, Average Loss  0.870238, Time  0.419933
2021-09-23 08:17:25.200212 : Epoch  8, Batch    468, Loss  0.871224, Average Loss  0.870252, Time  0.413628
2021-09-23 08:17:30.149730 : Epoch  8, Batch    469, Loss  0.856551, Average Loss  0.870158, Time  0.412879
2021-09-23 08:17:35.092040 : Epoch  8, Batch    470, Loss  0.853458, Average Loss  0.870072, Time  0.414408
2021-09-23 08:17:40.045688 : Epoch  8, Batch    471, Loss  0.867611, Average Loss  0.870058, Time  0.412754
2021-09-23 08:17:44.992723 : Epoch  8, Batch    472, Loss  0.853810, Average Loss  0.869902, Time  0.413856
2021-09-23 08:17:49.942746 : Epoch  8, Batch    473, Loss  0.880111, Average Loss  0.869955, Time  0.413191
2021-09-23 08:17:54.900010 : Epoch  8, Batch    474, Loss  0.861673, Average Loss  0.869876, Time  0.412824
2021-09-23 08:17:59.900727 : Epoch  8, Batch    475, Loss  0.886274, Average Loss  0.869978, Time  0.456018
2021-09-23 08:18:04.876885 : Epoch  8, Batch    476, Loss  0.880909, Average Loss  0.869991, Time  0.413577
2021-09-23 08:18:09.866055 : Epoch  8, Batch    477, Loss  0.886380, Average Loss  0.870099, Time  0.414693
2021-09-23 08:18:14.825741 : Epoch  8, Batch    478, Loss  0.862718, Average Loss  0.870078, Time  0.413959
2021-09-23 08:18:19.792674 : Epoch  8, Batch    479, Loss  0.871666, Average Loss  0.870199, Time  0.413242
2021-09-23 08:18:24.738788 : Epoch  8, Batch    480, Loss  0.856407, Average Loss  0.870132, Time  0.412863
2021-09-23 08:18:29.687704 : Epoch  8, Batch    481, Loss  0.862723, Average Loss  0.870129, Time  0.413433
2021-09-23 08:18:34.644755 : Epoch  8, Batch    482, Loss  0.871920, Average Loss  0.870178, Time  0.413274
2021-09-23 08:18:39.587189 : Epoch  8, Batch    483, Loss  0.864183, Average Loss  0.870196, Time  0.412998
2021-09-23 08:18:44.533747 : Epoch  8, Batch    484, Loss  0.874237, Average Loss  0.870175, Time  0.413945
2021-09-23 08:18:49.545686 : Epoch  8, Batch    485, Loss  0.865281, Average Loss  0.870088, Time  0.460457
2021-09-23 08:18:54.491813 : Epoch  8, Batch    486, Loss  0.865403, Average Loss  0.870067, Time  0.413096
2021-09-23 08:18:59.433065 : Epoch  8, Batch    487, Loss  0.882408, Average Loss  0.870183, Time  0.412854
2021-09-23 08:19:04.396229 : Epoch  8, Batch    488, Loss  0.853234, Average Loss  0.870085, Time  0.413753
2021-09-23 08:19:09.341107 : Epoch  8, Batch    489, Loss  0.859777, Average Loss  0.870011, Time  0.414410
2021-09-23 08:19:14.299825 : Epoch  8, Batch    490, Loss  0.853898, Average Loss  0.869966, Time  0.414323
2021-09-23 08:19:19.249734 : Epoch  8, Batch    491, Loss  0.883371, Average Loss  0.869982, Time  0.414777
2021-09-23 08:19:24.201242 : Epoch  8, Batch    492, Loss  0.865889, Average Loss  0.869986, Time  0.412914
2021-09-23 08:19:29.152128 : Epoch  8, Batch    493, Loss  0.880217, Average Loss  0.870022, Time  0.413423
2021-09-23 08:19:34.176877 : Epoch  8, Batch    494, Loss  0.881006, Average Loss  0.870124, Time  0.467102
2021-09-23 08:19:39.121317 : Epoch  8, Batch    495, Loss  0.861492, Average Loss  0.870059, Time  0.415533
2021-09-23 08:19:44.064721 : Epoch  8, Batch    496, Loss  0.855432, Average Loss  0.869988, Time  0.412691
2021-09-23 08:19:49.024886 : Epoch  8, Batch    497, Loss  0.869680, Average Loss  0.870046, Time  0.412929
2021-09-23 08:19:53.955680 : Epoch  8, Batch    498, Loss  0.858809, Average Loss  0.870069, Time  0.412433
2021-09-23 08:19:58.918705 : Epoch  8, Batch    499, Loss  0.873667, Average Loss  0.870180, Time  0.413734
2021-09-23 08:20:03.898006 : Epoch  8, Batch    500, Loss  0.874673, Average Loss  0.870168, Time  0.414280
2021-09-23 08:20:08.855770 : Epoch  8, Batch    501, Loss  0.867413, Average Loss  0.870149, Time  0.412758
2021-09-23 08:20:13.802886 : Epoch  8, Batch    502, Loss  0.866170, Average Loss  0.870175, Time  0.414469
2021-09-23 08:20:18.871727 : Epoch  8, Batch    503, Loss  0.883574, Average Loss  0.870250, Time  0.468403
2021-09-23 08:20:32.696811 : Epoch  8, Batch    504, Loss  0.880020, Average Loss  0.870253, Time  0.420741
2021-09-23 08:24:27.491713 : CheckPoint: Validation Loss  0.00015227, Best Loss  0.00014643
2021-09-23 08:24:32.425825 : Epoch  8, Batch    505, Loss  0.876051, Average Loss  0.870283, Time  0.414207
2021-09-23 08:24:37.392747 : Epoch  8, Batch    506, Loss  0.871145, Average Loss  0.870278, Time  0.412954
2021-09-23 08:24:42.367770 : Epoch  8, Batch    507, Loss  0.863126, Average Loss  0.870243, Time  0.413011
2021-09-23 08:24:47.315123 : Epoch  8, Batch    508, Loss  0.853679, Average Loss  0.870128, Time  0.413317
2021-09-23 08:24:52.346738 : Epoch  8, Batch    509, Loss  0.872295, Average Loss  0.870149, Time  0.412908
2021-09-23 08:24:57.305735 : Epoch  8, Batch    510, Loss  0.865213, Average Loss  0.870125, Time  0.414367
2021-09-23 08:25:02.326702 : Epoch  8, Batch    511, Loss  0.862582, Average Loss  0.870089, Time  0.452822
2021-09-23 08:25:07.285028 : Epoch  8, Batch    512, Loss  0.865744, Average Loss  0.870130, Time  0.413767
2021-09-23 08:25:12.227051 : Epoch  8, Batch    513, Loss  0.859513, Average Loss  0.870082, Time  0.413528
2021-09-23 08:25:17.170790 : Epoch  8, Batch    514, Loss  0.865979, Average Loss  0.870050, Time  0.413465
2021-09-23 08:25:22.133778 : Epoch  8, Batch    515, Loss  0.882900, Average Loss  0.870126, Time  0.413553
2021-09-23 08:25:27.093713 : Epoch  8, Batch    516, Loss  0.870751, Average Loss  0.870099, Time  0.413691
2021-09-23 08:25:32.057718 : Epoch  8, Batch    517, Loss  0.872944, Average Loss  0.870165, Time  0.412934
2021-09-23 08:25:37.016059 : Epoch  8, Batch    518, Loss  0.860110, Average Loss  0.870118, Time  0.413400
2021-09-23 08:25:42.005991 : Epoch  8, Batch    519, Loss  0.862989, Average Loss  0.870049, Time  0.412914
2021-09-23 08:25:47.043207 : Epoch  8, Batch    520, Loss  0.868363, Average Loss  0.870096, Time  0.448591
2021-09-23 08:25:52.002770 : Epoch  8, Batch    521, Loss  0.864600, Average Loss  0.870060, Time  0.413198
2021-09-23 08:25:56.964002 : Epoch  8, Batch    522, Loss  0.857422, Average Loss  0.870062, Time  0.413997
2021-09-23 08:26:01.939989 : Epoch  8, Batch    523, Loss  0.879795, Average Loss  0.870129, Time  0.414285
2021-09-23 08:26:06.977264 : Epoch  8, Batch    524, Loss  0.872235, Average Loss  0.870144, Time  0.436825
2021-09-23 08:26:11.944746 : Epoch  8, Batch    525, Loss  0.865698, Average Loss  0.870123, Time  0.413248
2021-09-23 08:26:16.955041 : Epoch  8, Batch    526, Loss  0.871003, Average Loss  0.870134, Time  0.414192
2021-09-23 08:26:21.907755 : Epoch  8, Batch    527, Loss  0.862366, Average Loss  0.870084, Time  0.412972
2021-09-23 08:26:26.877001 : Epoch  8, Batch    528, Loss  0.876084, Average Loss  0.870082, Time  0.413138
2021-09-23 08:26:31.873793 : Epoch  8, Batch    529, Loss  0.854790, Average Loss  0.869969, Time  0.450169
2021-09-23 08:26:36.841794 : Epoch  8, Batch    530, Loss  0.866269, Average Loss  0.869932, Time  0.412986
2021-09-23 08:26:41.809804 : Epoch  8, Batch    531, Loss  0.872785, Average Loss  0.869864, Time  0.417640
2021-09-23 08:26:46.779061 : Epoch  8, Batch    532, Loss  0.875732, Average Loss  0.869909, Time  0.413117
2021-09-23 08:26:51.740930 : Epoch  8, Batch    533, Loss  0.864367, Average Loss  0.869777, Time  0.412907
2021-09-23 08:26:56.710111 : Epoch  8, Batch    534, Loss  0.857068, Average Loss  0.869745, Time  0.413536
2021-09-23 08:27:01.706019 : Epoch  8, Batch    535, Loss  0.860239, Average Loss  0.869673, Time  0.413272
2021-09-23 08:27:06.664893 : Epoch  8, Batch    536, Loss  0.862354, Average Loss  0.869569, Time  0.414487
2021-09-23 08:27:11.612778 : Epoch  8, Batch    537, Loss  0.865068, Average Loss  0.869559, Time  0.413871
2021-09-23 08:27:16.537063 : Epoch  8, Batch    538, Loss  0.865458, Average Loss  0.869542, Time  0.413307
2021-09-23 08:27:21.540066 : Epoch  8, Batch    539, Loss  0.874178, Average Loss  0.869557, Time  0.459175
2021-09-23 08:27:26.494130 : Epoch  8, Batch    540, Loss  0.880372, Average Loss  0.869631, Time  0.413216
2021-09-23 08:27:31.456118 : Epoch  8, Batch    541, Loss  0.873547, Average Loss  0.869664, Time  0.413370
2021-09-23 08:27:36.410144 : Epoch  8, Batch    542, Loss  0.865432, Average Loss  0.869655, Time  0.413192
2021-09-23 08:27:41.360802 : Epoch  8, Batch    543, Loss  0.874841, Average Loss  0.869689, Time  0.413049
2021-09-23 08:27:46.307995 : Epoch  8, Batch    544, Loss  0.871002, Average Loss  0.869720, Time  0.413366
2021-09-23 08:27:51.262874 : Epoch  8, Batch    545, Loss  0.885053, Average Loss  0.869840, Time  0.413092
2021-09-23 08:27:56.212097 : Epoch  8, Batch    546, Loss  0.862125, Average Loss  0.869816, Time  0.413112
2021-09-23 08:28:01.164006 : Epoch  8, Batch    547, Loss  0.871464, Average Loss  0.869806, Time  0.413305
2021-09-23 08:28:06.176722 : Epoch  8, Batch    548, Loss  0.866207, Average Loss  0.869772, Time  0.468684
2021-09-23 08:28:11.147948 : Epoch  8, Batch    549, Loss  0.869035, Average Loss  0.869812, Time  0.420300
2021-09-23 08:28:16.105649 : Epoch  8, Batch    550, Loss  0.876672, Average Loss  0.869911, Time  0.414020
2021-09-23 08:28:21.065008 : Epoch  8, Batch    551, Loss  0.879492, Average Loss  0.869965, Time  0.413238
2021-09-23 08:28:26.027825 : Epoch  8, Batch    552, Loss  0.861666, Average Loss  0.869928, Time  0.413941
2021-09-23 08:28:30.975986 : Epoch  8, Batch    553, Loss  0.876117, Average Loss  0.870005, Time  0.413295
2021-09-23 08:28:35.941701 : Epoch  8, Batch    554, Loss  0.857024, Average Loss  0.869941, Time  0.413222
2021-09-23 08:28:40.893098 : Epoch  8, Batch    555, Loss  0.874026, Average Loss  0.869909, Time  0.413467
2021-09-23 08:28:45.856072 : Epoch  8, Batch    556, Loss  0.863203, Average Loss  0.869911, Time  0.413197
2021-09-23 08:28:50.868486 : Epoch  8, Batch    557, Loss  0.865401, Average Loss  0.869831, Time  0.464990
2021-09-23 08:28:55.816792 : Epoch  8, Batch    558, Loss  0.860939, Average Loss  0.869777, Time  0.415738
2021-09-23 08:29:00.772999 : Epoch  8, Batch    559, Loss  0.861547, Average Loss  0.869713, Time  0.412793
2021-09-23 08:29:05.717052 : Epoch  8, Batch    560, Loss  0.859625, Average Loss  0.869588, Time  0.413080
2021-09-23 08:29:10.682983 : Epoch  8, Batch    561, Loss  0.874819, Average Loss  0.869685, Time  0.414015
2021-09-23 08:29:15.657039 : Epoch  8, Batch    562, Loss  0.859492, Average Loss  0.869601, Time  0.413639
2021-09-23 08:29:20.618805 : Epoch  8, Batch    563, Loss  0.872149, Average Loss  0.869646, Time  0.413633
2021-09-23 08:29:25.570590 : Epoch  8, Batch    564, Loss  0.877636, Average Loss  0.869694, Time  0.413440
2021-09-23 08:29:30.524024 : Epoch  8, Batch    565, Loss  0.853846, Average Loss  0.869676, Time  0.413803
2021-09-23 08:29:35.479003 : Epoch  8, Batch    566, Loss  0.878772, Average Loss  0.869721, Time  0.412958
2021-09-23 08:29:40.483018 : Epoch  8, Batch    567, Loss  0.875647, Average Loss  0.869742, Time  0.455020
2021-09-23 08:29:45.428458 : Epoch  8, Batch    568, Loss  0.869341, Average Loss  0.869755, Time  0.413457
2021-09-23 08:29:50.378894 : Epoch  8, Batch    569, Loss  0.874378, Average Loss  0.869812, Time  0.413090
2021-09-23 08:29:55.358917 : Epoch  8, Batch    570, Loss  0.871112, Average Loss  0.869814, Time  0.414882
2021-09-23 08:30:00.311214 : Epoch  8, Batch    571, Loss  0.870204, Average Loss  0.869777, Time  0.414367
2021-09-23 08:30:05.294072 : Epoch  8, Batch    572, Loss  0.871717, Average Loss  0.869739, Time  0.413009
2021-09-23 08:30:10.254777 : Epoch  8, Batch    573, Loss  0.867786, Average Loss  0.869679, Time  0.413128
2021-09-23 08:30:15.232041 : Epoch  8, Batch    574, Loss  0.859957, Average Loss  0.869518, Time  0.414230
2021-09-23 08:30:20.201122 : Epoch  8, Batch    575, Loss  0.867231, Average Loss  0.869514, Time  0.413612
2021-09-23 08:30:25.185947 : Epoch  8, Batch    576, Loss  0.854930, Average Loss  0.869515, Time  0.435566
2021-09-23 08:30:30.142724 : Epoch  8, Batch    577, Loss  0.886683, Average Loss  0.869530, Time  0.413890
2021-09-23 08:30:35.112820 : Epoch  8, Batch    578, Loss  0.871853, Average Loss  0.869502, Time  0.413346
2021-09-23 08:30:40.059722 : Epoch  8, Batch    579, Loss  0.870858, Average Loss  0.869484, Time  0.412870
2021-09-23 08:30:45.020829 : Epoch  8, Batch    580, Loss  0.865371, Average Loss  0.869423, Time  0.413262
2021-09-23 08:30:49.970991 : Epoch  8, Batch    581, Loss  0.861132, Average Loss  0.869336, Time  0.412906
2021-09-23 08:30:54.937257 : Epoch  8, Batch    582, Loss  0.854828, Average Loss  0.869255, Time  0.412837
2021-09-23 08:30:59.890922 : Epoch  8, Batch    583, Loss  0.886388, Average Loss  0.869347, Time  0.413472
2021-09-23 08:31:04.839778 : Epoch  8, Batch    584, Loss  0.868264, Average Loss  0.869221, Time  0.413038
2021-09-23 08:31:09.837735 : Epoch  8, Batch    585, Loss  0.863277, Average Loss  0.869150, Time  0.452820
2021-09-23 08:31:14.814735 : Epoch  8, Batch    586, Loss  0.884003, Average Loss  0.869160, Time  0.414639
2021-09-23 08:31:19.782968 : Epoch  8, Batch    587, Loss  0.866642, Average Loss  0.869230, Time  0.413693
2021-09-23 08:31:24.762955 : Epoch  8, Batch    588, Loss  0.855149, Average Loss  0.869140, Time  0.414795
2021-09-23 08:31:29.717935 : Epoch  8, Batch    589, Loss  0.866043, Average Loss  0.869206, Time  0.413188
2021-09-23 08:31:34.682746 : Epoch  8, Batch    590, Loss  0.868349, Average Loss  0.869149, Time  0.414259
2021-09-23 08:31:39.636993 : Epoch  8, Batch    591, Loss  0.896493, Average Loss  0.869343, Time  0.413388
2021-09-23 08:31:44.600887 : Epoch  8, Batch    592, Loss  0.864063, Average Loss  0.869323, Time  0.413343
2021-09-23 08:31:49.556954 : Epoch  8, Batch    593, Loss  0.863387, Average Loss  0.869241, Time  0.413064
2021-09-23 08:31:54.521021 : Epoch  8, Batch    594, Loss  0.871589, Average Loss  0.869361, Time  0.413569
2021-09-23 08:31:59.525750 : Epoch  8, Batch    595, Loss  0.875518, Average Loss  0.869442, Time  0.452769
2021-09-23 08:32:04.526961 : Epoch  8, Batch    596, Loss  0.860595, Average Loss  0.869438, Time  0.413385
2021-09-23 08:32:09.490953 : Epoch  8, Batch    597, Loss  0.872645, Average Loss  0.869464, Time  0.420716
2021-09-23 08:32:14.449086 : Epoch  8, Batch    598, Loss  0.889560, Average Loss  0.869511, Time  0.413075
2021-09-23 08:32:19.457785 : Epoch  8, Batch    599, Loss  0.869852, Average Loss  0.869459, Time  0.414510
2021-09-23 08:32:24.434799 : Epoch  8, Batch    600, Loss  0.865405, Average Loss  0.869356, Time  0.413836
2021-09-23 08:32:29.436030 : Epoch  8, Batch    601, Loss  0.892083, Average Loss  0.869388, Time  0.413545
2021-09-23 08:32:34.384090 : Epoch  8, Batch    602, Loss  0.870655, Average Loss  0.869403, Time  0.413274
2021-09-23 08:32:39.383782 : Epoch  8, Batch    603, Loss  0.872314, Average Loss  0.869384, Time  0.413547
2021-09-23 08:32:44.393853 : Epoch  8, Batch    604, Loss  0.858613, Average Loss  0.869309, Time  0.449929
2021-09-23 08:36:41.224727 : CheckPoint: Validation Loss  0.00015254, Best Loss  0.00014643
2021-09-23 08:36:46.191996 : Epoch  8, Batch    605, Loss  0.861362, Average Loss  0.869258, Time  0.419396
2021-09-23 08:36:51.155713 : Epoch  8, Batch    606, Loss  0.855759, Average Loss  0.869208, Time  0.413204
2021-09-23 08:36:56.119719 : Epoch  8, Batch    607, Loss  0.881844, Average Loss  0.869215, Time  0.413702
2021-09-23 08:37:01.082759 : Epoch  8, Batch    608, Loss  0.863680, Average Loss  0.869183, Time  0.413518
2021-09-23 08:37:06.058014 : Epoch  8, Batch    609, Loss  0.882516, Average Loss  0.869244, Time  0.413953
2021-09-23 08:37:11.003984 : Epoch  8, Batch    610, Loss  0.870325, Average Loss  0.869170, Time  0.414001
2021-09-23 08:37:15.969129 : Epoch  8, Batch    611, Loss  0.855380, Average Loss  0.869102, Time  0.414178
2021-09-23 08:37:20.927103 : Epoch  8, Batch    612, Loss  0.858557, Average Loss  0.869026, Time  0.413395
2021-09-23 08:37:25.931705 : Epoch  8, Batch    613, Loss  0.863227, Average Loss  0.868962, Time  0.452724
2021-09-23 08:37:30.900000 : Epoch  8, Batch    614, Loss  0.865003, Average Loss  0.868847, Time  0.413635
2021-09-23 08:37:35.857732 : Epoch  8, Batch    615, Loss  0.857711, Average Loss  0.868763, Time  0.412804
2021-09-23 08:37:40.836756 : Epoch  8, Batch    616, Loss  0.874778, Average Loss  0.868861, Time  0.413403
2021-09-23 08:37:45.805089 : Epoch  8, Batch    617, Loss  0.873828, Average Loss  0.868835, Time  0.413128
2021-09-23 08:37:50.762781 : Epoch  8, Batch    618, Loss  0.875670, Average Loss  0.868912, Time  0.413636
2021-09-23 08:37:55.727003 : Epoch  8, Batch    619, Loss  0.863722, Average Loss  0.868877, Time  0.413447
2021-09-23 08:38:00.683092 : Epoch  8, Batch    620, Loss  0.868289, Average Loss  0.868834, Time  0.413149
2021-09-23 08:38:05.648748 : Epoch  8, Batch    621, Loss  0.870560, Average Loss  0.868811, Time  0.413053
2021-09-23 08:38:10.621920 : Epoch  8, Batch    622, Loss  0.882331, Average Loss  0.868886, Time  0.414247
2021-09-23 08:38:15.618869 : Epoch  8, Batch    623, Loss  0.878567, Average Loss  0.868937, Time  0.455172
2021-09-23 08:38:20.562014 : Epoch  8, Batch    624, Loss  0.880031, Average Loss  0.868993, Time  0.413630
2021-09-23 08:38:25.524731 : Epoch  8, Batch    625, Loss  0.881138, Average Loss  0.869050, Time  0.413572
2021-09-23 08:38:30.492179 : Epoch  8, Batch    626, Loss  0.883459, Average Loss  0.869115, Time  0.413564
2021-09-23 08:38:35.452927 : Epoch  8, Batch    627, Loss  0.875849, Average Loss  0.869177, Time  0.413036
2021-09-23 08:38:40.422781 : Epoch  8, Batch    628, Loss  0.866388, Average Loss  0.869167, Time  0.413204
2021-09-23 08:38:45.373910 : Epoch  8, Batch    629, Loss  0.884378, Average Loss  0.869245, Time  0.413692
2021-09-23 08:38:50.331494 : Epoch  8, Batch    630, Loss  0.869463, Average Loss  0.869268, Time  0.413135
2021-09-23 08:38:55.294353 : Epoch  8, Batch    631, Loss  0.861860, Average Loss  0.869184, Time  0.413589
2021-09-23 08:39:00.313960 : Epoch  8, Batch    632, Loss  0.872549, Average Loss  0.869297, Time  0.449998
2021-09-23 08:39:05.272131 : Epoch  8, Batch    633, Loss  0.869338, Average Loss  0.869324, Time  0.413070
2021-09-23 08:39:10.240441 : Epoch  8, Batch    634, Loss  0.855565, Average Loss  0.869273, Time  0.414478
2021-09-23 08:39:15.210325 : Epoch  8, Batch    635, Loss  0.864899, Average Loss  0.869306, Time  0.413245
2021-09-23 08:39:20.171071 : Epoch  8, Batch    636, Loss  0.882303, Average Loss  0.869366, Time  0.413881
2021-09-23 08:39:25.141976 : Epoch  8, Batch    637, Loss  0.851888, Average Loss  0.869305, Time  0.413048
2021-09-23 08:39:30.115713 : Epoch  8, Batch    638, Loss  0.870366, Average Loss  0.869263, Time  0.414003
2021-09-23 08:39:35.086735 : Epoch  8, Batch    639, Loss  0.871035, Average Loss  0.869235, Time  0.413573
2021-09-23 08:39:40.063006 : Epoch  8, Batch    640, Loss  0.876548, Average Loss  0.869196, Time  0.430121
2021-09-23 08:39:45.084722 : Epoch  8, Batch    641, Loss  0.870376, Average Loss  0.869287, Time  0.463783
2021-09-23 08:39:50.062749 : Epoch  8, Batch    642, Loss  0.892941, Average Loss  0.869425, Time  0.419592
2021-09-23 08:39:55.028918 : Epoch  8, Batch    643, Loss  0.866039, Average Loss  0.869411, Time  0.412961
2021-09-23 08:39:59.979879 : Epoch  8, Batch    644, Loss  0.867366, Average Loss  0.869297, Time  0.413053
2021-09-23 08:40:04.961914 : Epoch  8, Batch    645, Loss  0.858762, Average Loss  0.869235, Time  0.412790
2021-09-23 08:40:09.917995 : Epoch  8, Batch    646, Loss  0.873426, Average Loss  0.869276, Time  0.413014
2021-09-23 08:40:14.892983 : Epoch  8, Batch    647, Loss  0.880972, Average Loss  0.869383, Time  0.414457
2021-09-23 08:40:19.878822 : Epoch  8, Batch    648, Loss  0.880355, Average Loss  0.869381, Time  0.413992
2021-09-23 08:40:24.834780 : Epoch  8, Batch    649, Loss  0.851398, Average Loss  0.869317, Time  0.414655
2021-09-23 08:40:29.812092 : Epoch  8, Batch    650, Loss  0.865847, Average Loss  0.869323, Time  0.413822
2021-09-23 08:40:34.817788 : Epoch  8, Batch    651, Loss  0.867271, Average Loss  0.869359, Time  0.456791
2021-09-23 08:40:39.791756 : Epoch  8, Batch    652, Loss  0.871969, Average Loss  0.869356, Time  0.413361
2021-09-23 08:40:44.754902 : Epoch  8, Batch    653, Loss  0.864558, Average Loss  0.869290, Time  0.413334
2021-09-23 08:40:49.708473 : Epoch  8, Batch    654, Loss  0.869839, Average Loss  0.869260, Time  0.413128
2021-09-23 08:40:54.668881 : Epoch  8, Batch    655, Loss  0.863103, Average Loss  0.869222, Time  0.413291
2021-09-23 08:40:59.636809 : Epoch  8, Batch    656, Loss  0.864277, Average Loss  0.869253, Time  0.412900
2021-09-23 08:41:04.614998 : Epoch  8, Batch    657, Loss  0.873043, Average Loss  0.869335, Time  0.412965
2021-09-23 08:41:09.568073 : Epoch  8, Batch    658, Loss  0.881501, Average Loss  0.869369, Time  0.413313
2021-09-23 08:41:14.532968 : Epoch  8, Batch    659, Loss  0.879406, Average Loss  0.869500, Time  0.413110
2021-09-23 08:41:19.543447 : Epoch  8, Batch    660, Loss  0.875730, Average Loss  0.869497, Time  0.451795
2021-09-23 08:41:24.506968 : Epoch  8, Batch    661, Loss  0.878124, Average Loss  0.869531, Time  0.413672
2021-09-23 08:41:29.461007 : Epoch  8, Batch    662, Loss  0.881296, Average Loss  0.869524, Time  0.413377
2021-09-23 08:41:34.474769 : Epoch  8, Batch    663, Loss  0.859367, Average Loss  0.869447, Time  0.414512
2021-09-23 08:41:39.520987 : Epoch  8, Batch    664, Loss  0.877284, Average Loss  0.869489, Time  0.413190
2021-09-23 08:41:44.473969 : Epoch  8, Batch    665, Loss  0.857453, Average Loss  0.869389, Time  0.413318
2021-09-23 08:41:49.451026 : Epoch  8, Batch    666, Loss  0.878211, Average Loss  0.869417, Time  0.416907
2021-09-23 08:41:54.466067 : Epoch  8, Batch    667, Loss  0.867813, Average Loss  0.869337, Time  0.412921
2021-09-23 08:41:59.429347 : Epoch  8, Batch    668, Loss  0.860164, Average Loss  0.869282, Time  0.413426
2021-09-23 08:42:04.411746 : Epoch  8, Batch    669, Loss  0.865677, Average Loss  0.869328, Time  0.450510
2021-09-23 08:42:09.381864 : Epoch  8, Batch    670, Loss  0.874969, Average Loss  0.869435, Time  0.412975
2021-09-23 08:42:14.349954 : Epoch  8, Batch    671, Loss  0.882180, Average Loss  0.869508, Time  0.413229
2021-09-23 08:42:19.312976 : Epoch  8, Batch    672, Loss  0.881878, Average Loss  0.869648, Time  0.414809
2021-09-23 08:42:24.272027 : Epoch  8, Batch    673, Loss  0.856369, Average Loss  0.869530, Time  0.415251
2021-09-23 08:42:29.243030 : Epoch  8, Batch    674, Loss  0.864110, Average Loss  0.869542, Time  0.414172
2021-09-23 08:42:34.199748 : Epoch  8, Batch    675, Loss  0.868662, Average Loss  0.869454, Time  0.413453
2021-09-23 08:42:39.169180 : Epoch  8, Batch    676, Loss  0.867626, Average Loss  0.869387, Time  0.414168
2021-09-23 08:42:44.157961 : Epoch  8, Batch    677, Loss  0.852503, Average Loss  0.869218, Time  0.413039
2021-09-23 08:42:49.148967 : Epoch  8, Batch    678, Loss  0.858930, Average Loss  0.869199, Time  0.448073
2021-09-23 08:42:54.119975 : Epoch  8, Batch    679, Loss  0.859629, Average Loss  0.869139, Time  0.413022
2021-09-23 08:42:59.084828 : Epoch  8, Batch    680, Loss  0.862401, Average Loss  0.869169, Time  0.413628
2021-09-23 08:43:04.057773 : Epoch  8, Batch    681, Loss  0.867697, Average Loss  0.869194, Time  0.413331
2021-09-23 08:43:09.025013 : Epoch  8, Batch    682, Loss  0.870484, Average Loss  0.869187, Time  0.413529
2021-09-23 08:43:13.985953 : Epoch  8, Batch    683, Loss  0.853758, Average Loss  0.869134, Time  0.413039
2021-09-23 08:43:18.943941 : Epoch  8, Batch    684, Loss  0.862025, Average Loss  0.869073, Time  0.413251
2021-09-23 08:43:23.935010 : Epoch  8, Batch    685, Loss  0.858425, Average Loss  0.869039, Time  0.414330
2021-09-23 08:43:28.899925 : Epoch  8, Batch    686, Loss  0.868615, Average Loss  0.869055, Time  0.413562
2021-09-23 08:43:33.903171 : Epoch  8, Batch    687, Loss  0.866643, Average Loss  0.868976, Time  0.457535
2021-09-23 08:43:38.867021 : Epoch  8, Batch    688, Loss  0.882684, Average Loss  0.869124, Time  0.413252
2021-09-23 08:43:43.830070 : Epoch  8, Batch    689, Loss  0.879977, Average Loss  0.869225, Time  0.413616
2021-09-23 08:43:48.784218 : Epoch  8, Batch    690, Loss  0.853757, Average Loss  0.869224, Time  0.413306
2021-09-23 08:43:53.745746 : Epoch  8, Batch    691, Loss  0.854572, Average Loss  0.869080, Time  0.413001
2021-09-23 08:43:58.709787 : Epoch  8, Batch    692, Loss  0.875087, Average Loss  0.869126, Time  0.413033
2021-09-23 08:44:03.687723 : Epoch  8, Batch    693, Loss  0.865149, Average Loss  0.869051, Time  0.413225
2021-09-23 08:44:08.646055 : Epoch  8, Batch    694, Loss  0.857734, Average Loss  0.868934, Time  0.413286
2021-09-23 08:44:13.613748 : Epoch  8, Batch    695, Loss  0.881909, Average Loss  0.869036, Time  0.412843
2021-09-23 08:44:18.575025 : Epoch  8, Batch    696, Loss  0.871617, Average Loss  0.869117, Time  0.414515
2021-09-23 08:44:23.589994 : Epoch  8, Batch    697, Loss  0.869198, Average Loss  0.869115, Time  0.462021
2021-09-23 08:44:28.557055 : Epoch  8, Batch    698, Loss  0.854025, Average Loss  0.869091, Time  0.414113
2021-09-23 08:44:33.515565 : Epoch  8, Batch    699, Loss  0.876528, Average Loss  0.869105, Time  0.414131
2021-09-23 08:44:38.496480 : Epoch  8, Batch    700, Loss  0.867374, Average Loss  0.869069, Time  0.414675
2021-09-23 08:44:43.466022 : Epoch  8, Batch    701, Loss  0.866394, Average Loss  0.869064, Time  0.414330
2021-09-23 08:44:48.432027 : Epoch  8, Batch    702, Loss  0.861952, Average Loss  0.869042, Time  0.413254
2021-09-23 08:44:53.392744 : Epoch  8, Batch    703, Loss  0.861134, Average Loss  0.868930, Time  0.418662
2021-09-23 08:44:58.358991 : Epoch  8, Batch    704, Loss  0.872157, Average Loss  0.868891, Time  0.416526
2021-09-23 08:48:54.828693 : CheckPoint: Validation Loss  0.00015223, Best Loss  0.00014643
2021-09-23 08:48:59.828036 : Epoch  8, Batch    705, Loss  0.879033, Average Loss  0.868906, Time  0.458111
2021-09-23 08:49:04.797999 : Epoch  8, Batch    706, Loss  0.857632, Average Loss  0.868838, Time  0.412881
2021-09-23 08:49:09.758045 : Epoch  8, Batch    707, Loss  0.848559, Average Loss  0.868765, Time  0.414316
2021-09-23 08:49:14.730030 : Epoch  8, Batch    708, Loss  0.868456, Average Loss  0.868839, Time  0.413156
2021-09-23 08:49:19.694531 : Epoch  8, Batch    709, Loss  0.868557, Average Loss  0.868821, Time  0.414188
2021-09-23 08:49:24.654001 : Epoch  8, Batch    710, Loss  0.867135, Average Loss  0.868830, Time  0.413877
2021-09-23 08:49:29.621841 : Epoch  8, Batch    711, Loss  0.857783, Average Loss  0.868806, Time  0.413518
2021-09-23 08:49:34.578942 : Epoch  8, Batch    712, Loss  0.873536, Average Loss  0.868845, Time  0.413866
2021-09-23 08:49:39.547729 : Epoch  8, Batch    713, Loss  0.889652, Average Loss  0.868996, Time  0.413538
2021-09-23 08:49:44.551875 : Epoch  8, Batch    714, Loss  0.875373, Average Loss  0.869043, Time  0.448738
2021-09-23 08:49:49.514011 : Epoch  8, Batch    715, Loss  0.847492, Average Loss  0.868866, Time  0.413478
2021-09-23 08:49:54.470580 : Epoch  8, Batch    716, Loss  0.855203, Average Loss  0.868788, Time  0.413368
2021-09-23 08:49:59.528706 : Epoch  8, Batch    717, Loss  0.877440, Average Loss  0.868811, Time  0.412982
2021-09-23 08:50:04.487772 : Epoch  8, Batch    718, Loss  0.878114, Average Loss  0.868901, Time  0.413720
2021-09-23 08:50:09.449854 : Epoch  8, Batch    719, Loss  0.869266, Average Loss  0.868932, Time  0.413004
2021-09-23 08:50:14.418060 : Epoch  8, Batch    720, Loss  0.883872, Average Loss  0.869010, Time  0.413288
2021-09-23 08:50:19.392740 : Epoch  8, Batch    721, Loss  0.869006, Average Loss  0.869032, Time  0.413958
2021-09-23 08:50:24.359004 : Epoch  8, Batch    722, Loss  0.879792, Average Loss  0.869143, Time  0.414274
2021-09-23 08:50:29.376630 : Epoch  8, Batch    723, Loss  0.882114, Average Loss  0.869155, Time  0.455407
2021-09-23 08:50:34.364754 : Epoch  8, Batch    724, Loss  0.885556, Average Loss  0.869222, Time  0.413533
2021-09-23 08:50:39.329976 : Epoch  8, Batch    725, Loss  0.872439, Average Loss  0.869255, Time  0.414204
2021-09-23 08:50:44.366884 : Epoch  8, Batch    726, Loss  0.856517, Average Loss  0.869183, Time  0.413302
2021-09-23 08:50:49.327053 : Epoch  8, Batch    727, Loss  0.868503, Average Loss  0.869214, Time  0.412874
2021-09-23 08:50:54.306119 : Epoch  8, Batch    728, Loss  0.889641, Average Loss  0.869281, Time  0.413694
2021-09-23 08:50:59.319060 : Epoch  8, Batch    729, Loss  0.879200, Average Loss  0.869403, Time  0.412895
2021-09-23 08:51:04.282143 : Epoch  8, Batch    730, Loss  0.874547, Average Loss  0.869445, Time  0.413242
2021-09-23 08:51:09.238080 : Epoch  8, Batch    731, Loss  0.879289, Average Loss  0.869477, Time  0.413149
2021-09-23 08:51:14.253120 : Epoch  8, Batch    732, Loss  0.871270, Average Loss  0.869455, Time  0.454504
2021-09-23 08:51:19.219006 : Epoch  8, Batch    733, Loss  0.857130, Average Loss  0.869419, Time  0.413329
2021-09-23 08:51:24.185773 : Epoch  8, Batch    734, Loss  0.873395, Average Loss  0.869500, Time  0.414688
2021-09-23 08:51:29.146960 : Epoch  8, Batch    735, Loss  0.872873, Average Loss  0.869564, Time  0.413163
2021-09-23 08:51:34.116947 : Epoch  8, Batch    736, Loss  0.873913, Average Loss  0.869621, Time  0.414795
2021-09-23 08:51:39.065746 : Epoch  8, Batch    737, Loss  0.869888, Average Loss  0.869646, Time  0.413272
2021-09-23 08:51:44.035898 : Epoch  8, Batch    738, Loss  0.865515, Average Loss  0.869646, Time  0.414398
2021-09-23 08:51:49.010262 : Epoch  8, Batch    739, Loss  0.868058, Average Loss  0.869615, Time  0.414003
2021-09-23 08:51:53.978309 : Epoch  8, Batch    740, Loss  0.853141, Average Loss  0.869479, Time  0.413343
2021-09-23 08:51:58.939966 : Epoch  8, Batch    741, Loss  0.868292, Average Loss  0.869453, Time  0.413403
2021-09-23 08:52:03.961665 : Epoch  8, Batch    742, Loss  0.871776, Average Loss  0.869485, Time  0.452481
2021-09-23 08:52:08.922722 : Epoch  8, Batch    743, Loss  0.876560, Average Loss  0.869493, Time  0.413176
2021-09-23 08:52:13.886717 : Epoch  8, Batch    744, Loss  0.864804, Average Loss  0.869462, Time  0.416409
2021-09-23 08:52:18.844842 : Epoch  8, Batch    745, Loss  0.861252, Average Loss  0.869343, Time  0.413311
2021-09-23 08:52:23.805880 : Epoch  8, Batch    746, Loss  0.875899, Average Loss  0.869412, Time  0.413160
2021-09-23 08:52:28.783970 : Epoch  8, Batch    747, Loss  0.873009, Average Loss  0.869420, Time  0.414694
2021-09-23 08:52:33.763897 : Epoch  8, Batch    748, Loss  0.880926, Average Loss  0.869493, Time  0.413391
2021-09-23 08:52:38.739032 : Epoch  8, Batch    749, Loss  0.882441, Average Loss  0.869560, Time  0.413906
2021-09-23 08:52:43.696812 : Epoch  8, Batch    750, Loss  0.857214, Average Loss  0.869463, Time  0.413599
2021-09-23 08:52:48.662749 : Epoch  8, Batch    751, Loss  0.871229, Average Loss  0.869422, Time  0.414135
2021-09-23 08:52:53.668116 : Epoch  8, Batch    752, Loss  0.874337, Average Loss  0.869485, Time  0.454215
2021-09-23 08:52:58.655162 : Epoch  8, Batch    753, Loss  0.869109, Average Loss  0.869450, Time  0.412931
2021-09-23 08:53:03.620919 : Epoch  8, Batch    754, Loss  0.866509, Average Loss  0.869497, Time  0.413402
2021-09-23 08:53:08.575014 : Epoch  8, Batch    755, Loss  0.868845, Average Loss  0.869472, Time  0.413510
2021-09-23 08:53:13.546854 : Epoch  8, Batch    756, Loss  0.878850, Average Loss  0.869550, Time  0.413086
2021-09-23 08:53:18.543905 : Epoch  8, Batch    757, Loss  0.874219, Average Loss  0.869594, Time  0.413177
2021-09-23 08:53:23.507721 : Epoch  8, Batch    758, Loss  0.864495, Average Loss  0.869612, Time  0.413553
2021-09-23 08:53:28.465730 : Epoch  8, Batch    759, Loss  0.873827, Average Loss  0.869673, Time  0.412609
2021-09-23 08:53:33.436234 : Epoch  8, Batch    760, Loss  0.852803, Average Loss  0.869639, Time  0.414840
2021-09-23 08:53:38.463961 : Epoch  8, Batch    761, Loss  0.874943, Average Loss  0.869640, Time  0.458458
2021-09-23 08:53:43.434167 : Epoch  8, Batch    762, Loss  0.870369, Average Loss  0.869694, Time  0.413821
2021-09-23 08:53:48.446011 : Epoch  8, Batch    763, Loss  0.878338, Average Loss  0.869725, Time  0.413373
2021-09-23 08:53:53.414028 : Epoch  8, Batch    764, Loss  0.879110, Average Loss  0.869732, Time  0.414417
2021-09-23 08:53:58.385740 : Epoch  8, Batch    765, Loss  0.875573, Average Loss  0.869841, Time  0.414386
2021-09-23 08:54:03.355758 : Epoch  8, Batch    766, Loss  0.862484, Average Loss  0.869759, Time  0.413326
2021-09-23 08:54:08.317825 : Epoch  8, Batch    767, Loss  0.864571, Average Loss  0.869704, Time  0.414199
2021-09-23 08:54:13.280809 : Epoch  8, Batch    768, Loss  0.861481, Average Loss  0.869665, Time  0.413140
2021-09-23 08:54:18.240427 : Epoch  8, Batch    769, Loss  0.874805, Average Loss  0.869667, Time  0.413275
2021-09-23 08:54:23.244857 : Epoch  8, Batch    770, Loss  0.888889, Average Loss  0.869756, Time  0.452623
2021-09-23 08:54:28.213683 : Epoch  8, Batch    771, Loss  0.876383, Average Loss  0.869787, Time  0.413001
2021-09-23 08:54:33.179710 : Epoch  8, Batch    772, Loss  0.871111, Average Loss  0.869784, Time  0.413492
2021-09-23 08:54:38.157034 : Epoch  8, Batch    773, Loss  0.866354, Average Loss  0.869777, Time  0.414268
2021-09-23 08:54:43.272783 : Epoch  8, Batch    774, Loss  0.872475, Average Loss  0.869839, Time  0.413949
2021-09-23 08:54:48.230768 : Epoch  8, Batch    775, Loss  0.881971, Average Loss  0.869913, Time  0.413637
2021-09-23 08:54:53.186753 : Epoch  8, Batch    776, Loss  0.871015, Average Loss  0.869993, Time  0.413239
2021-09-23 08:54:58.146761 : Epoch  8, Batch    777, Loss  0.861966, Average Loss  0.869870, Time  0.413705
2021-09-23 08:55:03.118789 : Epoch  8, Batch    778, Loss  0.883770, Average Loss  0.869929, Time  0.413074
2021-09-23 08:55:08.114047 : Epoch  8, Batch    779, Loss  0.877004, Average Loss  0.869960, Time  0.463586
2021-09-23 08:55:13.079755 : Epoch  8, Batch    780, Loss  0.860499, Average Loss  0.869936, Time  0.420057
2021-09-23 08:55:18.040780 : Epoch  8, Batch    781, Loss  0.861932, Average Loss  0.869940, Time  0.413232
2021-09-23 08:55:23.003914 : Epoch  8, Batch    782, Loss  0.865193, Average Loss  0.869991, Time  0.413338
2021-09-23 08:55:27.966756 : Epoch  8, Batch    783, Loss  0.862016, Average Loss  0.869870, Time  0.412999
2021-09-23 08:55:32.920753 : Epoch  8, Batch    784, Loss  0.862457, Average Loss  0.869841, Time  0.412892
2021-09-23 08:55:37.884736 : Epoch  8, Batch    785, Loss  0.866067, Average Loss  0.869855, Time  0.413501
2021-09-23 08:55:42.953812 : Epoch  8, Batch    786, Loss  0.873952, Average Loss  0.869804, Time  0.415047
2021-09-23 08:55:47.929776 : Epoch  8, Batch    787, Loss  0.867139, Average Loss  0.869807, Time  0.414023
2021-09-23 08:55:52.938040 : Epoch  8, Batch    788, Loss  0.867595, Average Loss  0.869869, Time  0.467614
2021-09-23 08:55:57.914752 : Epoch  8, Batch    789, Loss  0.865346, Average Loss  0.869865, Time  0.420965
2021-09-23 08:56:02.870075 : Epoch  8, Batch    790, Loss  0.882808, Average Loss  0.869938, Time  0.413112
2021-09-23 08:56:07.840785 : Epoch  8, Batch    791, Loss  0.866195, Average Loss  0.869786, Time  0.413381
2021-09-23 08:56:12.802722 : Epoch  8, Batch    792, Loss  0.862734, Average Loss  0.869780, Time  0.413112
2021-09-23 08:56:17.772071 : Epoch  8, Batch    793, Loss  0.876188, Average Loss  0.869844, Time  0.413296
2021-09-23 08:56:22.768810 : Epoch  8, Batch    794, Loss  0.866597, Average Loss  0.869819, Time  0.413127
2021-09-23 08:56:27.774741 : Epoch  8, Batch    795, Loss  0.872903, Average Loss  0.869806, Time  0.413071
2021-09-23 08:56:32.723855 : Epoch  8, Batch    796, Loss  0.868366, Average Loss  0.869844, Time  0.413213
2021-09-23 08:56:37.674793 : Epoch  8, Batch    797, Loss  0.876358, Average Loss  0.869863, Time  0.413123
2021-09-23 08:56:42.701268 : Epoch  8, Batch    798, Loss  0.855292, Average Loss  0.869692, Time  0.459520
2021-09-23 08:56:47.752753 : Epoch  8, Batch    799, Loss  0.868789, Average Loss  0.869686, Time  0.414437
2021-09-23 08:56:52.734280 : Epoch  8, Batch    800, Loss  0.862881, Average Loss  0.869674, Time  0.414360
2021-09-23 08:56:57.684016 : Epoch  8, Batch    801, Loss  0.868802, Average Loss  0.869557, Time  0.413854
2021-09-23 08:57:02.646029 : Epoch  8, Batch    802, Loss  0.875663, Average Loss  0.869582, Time  0.414223
2021-09-23 08:57:07.610939 : Epoch  8, Batch    803, Loss  0.866458, Average Loss  0.869553, Time  0.414125
2021-09-23 08:57:12.564731 : Epoch  8, Batch    804, Loss  0.866182, Average Loss  0.869591, Time  0.413320
2021-09-23 09:01:08.538728 : CheckPoint: Validation Loss  0.00015249, Best Loss  0.00014643
2021-09-23 09:01:13.492758 : Epoch  8, Batch    805, Loss  0.865802, Average Loss  0.869613, Time  0.414278
2021-09-23 09:01:18.470070 : Epoch  8, Batch    806, Loss  0.865906, Average Loss  0.869664, Time  0.423193
2021-09-23 09:01:23.502000 : Epoch  8, Batch    807, Loss  0.863949, Average Loss  0.869574, Time  0.466881
2021-09-23 09:01:28.483066 : Epoch  8, Batch    808, Loss  0.864607, Average Loss  0.869579, Time  0.419712
2021-09-23 09:01:33.449982 : Epoch  8, Batch    809, Loss  0.869546, Average Loss  0.869514, Time  0.413105
2021-09-23 09:01:38.431956 : Epoch  8, Batch    810, Loss  0.870800, Average Loss  0.869517, Time  0.414582
2021-09-23 09:01:43.400033 : Epoch  8, Batch    811, Loss  0.877465, Average Loss  0.869627, Time  0.413824
2021-09-23 09:01:48.355850 : Epoch  8, Batch    812, Loss  0.859672, Average Loss  0.869633, Time  0.413481
2021-09-23 09:01:53.306059 : Epoch  8, Batch    813, Loss  0.871935, Average Loss  0.869676, Time  0.413386
2021-09-23 09:01:58.281029 : Epoch  8, Batch    814, Loss  0.878427, Average Loss  0.869743, Time  0.413842
2021-09-23 09:02:03.249013 : Epoch  8, Batch    815, Loss  0.876903, Average Loss  0.869839, Time  0.413263
2021-09-23 09:02:08.255074 : Epoch  8, Batch    816, Loss  0.881696, Average Loss  0.869874, Time  0.453825
2021-09-23 09:02:13.219085 : Epoch  8, Batch    817, Loss  0.889249, Average Loss  0.869951, Time  0.412874
2021-09-23 09:02:18.183056 : Epoch  8, Batch    818, Loss  0.863571, Average Loss  0.869890, Time  0.413639
2021-09-23 09:02:23.150993 : Epoch  8, Batch    819, Loss  0.862137, Average Loss  0.869882, Time  0.413111
2021-09-23 09:02:28.117957 : Epoch  8, Batch    820, Loss  0.867969, Average Loss  0.869881, Time  0.416020
2021-09-23 09:02:33.069933 : Epoch  8, Batch    821, Loss  0.872794, Average Loss  0.869892, Time  0.413019
2021-09-23 09:02:38.039153 : Epoch  8, Batch    822, Loss  0.854282, Average Loss  0.869752, Time  0.413473
2021-09-23 09:02:43.004891 : Epoch  8, Batch    823, Loss  0.870903, Average Loss  0.869713, Time  0.414333
2021-09-23 09:02:47.977794 : Epoch  8, Batch    824, Loss  0.866701, Average Loss  0.869647, Time  0.413556
2021-09-23 09:02:52.927902 : Epoch  8, Batch    825, Loss  0.865048, Average Loss  0.869566, Time  0.413869
2021-09-23 09:02:57.935866 : Epoch  8, Batch    826, Loss  0.877460, Average Loss  0.869536, Time  0.460397
2021-09-23 09:03:02.911767 : Epoch  8, Batch    827, Loss  0.875627, Average Loss  0.869535, Time  0.423191
2021-09-23 09:03:07.872879 : Epoch  8, Batch    828, Loss  0.866501, Average Loss  0.869536, Time  0.413132
2021-09-23 09:03:12.817943 : Epoch  8, Batch    829, Loss  0.865260, Average Loss  0.869440, Time  0.413261
2021-09-23 09:03:17.770635 : Epoch  8, Batch    830, Loss  0.855311, Average Loss  0.869369, Time  0.413393
2021-09-23 09:03:22.744772 : Epoch  8, Batch    831, Loss  0.868386, Average Loss  0.869402, Time  0.413743
2021-09-23 09:03:27.703100 : Epoch  8, Batch    832, Loss  0.867394, Average Loss  0.869376, Time  0.413100
2021-09-23 09:03:32.663006 : Epoch  8, Batch    833, Loss  0.865172, Average Loss  0.869356, Time  0.413196
2021-09-23 09:03:37.618058 : Epoch  8, Batch    834, Loss  0.851772, Average Loss  0.869337, Time  0.413187
2021-09-23 09:03:42.640739 : Epoch  8, Batch    835, Loss  0.880000, Average Loss  0.869412, Time  0.459296
2021-09-23 09:03:47.602850 : Epoch  8, Batch    836, Loss  0.866409, Average Loss  0.869333, Time  0.414318
2021-09-23 09:03:52.616142 : Epoch  8, Batch    837, Loss  0.876433, Average Loss  0.869455, Time  0.413911
2021-09-23 09:03:57.578978 : Epoch  8, Batch    838, Loss  0.875899, Average Loss  0.869483, Time  0.413388
2021-09-23 09:04:02.553758 : Epoch  8, Batch    839, Loss  0.860855, Average Loss  0.869432, Time  0.414334
2021-09-23 09:04:07.517939 : Epoch  8, Batch    840, Loss  0.868458, Average Loss  0.869392, Time  0.413652
2021-09-23 09:04:12.480001 : Epoch  8, Batch    841, Loss  0.868854, Average Loss  0.869384, Time  0.413400
2021-09-23 09:04:17.463008 : Epoch  8, Batch    842, Loss  0.862156, Average Loss  0.869230, Time  0.413269
2021-09-23 09:04:22.417736 : Epoch  8, Batch    843, Loss  0.876702, Average Loss  0.869283, Time  0.414121
2021-09-23 09:04:27.425064 : Epoch  8, Batch    844, Loss  0.867271, Average Loss  0.869283, Time  0.465493
2021-09-23 09:04:32.411054 : Epoch  8, Batch    845, Loss  0.884048, Average Loss  0.869409, Time  0.419750
2021-09-23 09:04:37.382735 : Epoch  8, Batch    846, Loss  0.869976, Average Loss  0.869392, Time  0.413928
2021-09-23 09:04:42.351746 : Epoch  8, Batch    847, Loss  0.860842, Average Loss  0.869291, Time  0.413231
2021-09-23 09:04:47.316813 : Epoch  8, Batch    848, Loss  0.863145, Average Loss  0.869205, Time  0.414298
2021-09-23 09:04:52.293039 : Epoch  8, Batch    849, Loss  0.860398, Average Loss  0.869250, Time  0.413665
2021-09-23 09:04:57.260946 : Epoch  8, Batch    850, Loss  0.874796, Average Loss  0.869295, Time  0.413632
2021-09-23 09:05:02.216724 : Epoch  8, Batch    851, Loss  0.873575, Average Loss  0.869327, Time  0.413073
2021-09-23 09:05:07.192811 : Epoch  8, Batch    852, Loss  0.881798, Average Loss  0.869376, Time  0.413604
2021-09-23 09:05:12.205747 : Epoch  8, Batch    853, Loss  0.847853, Average Loss  0.869292, Time  0.454706
2021-09-23 09:05:17.170041 : Epoch  8, Batch    854, Loss  0.869151, Average Loss  0.869289, Time  0.413271
2021-09-23 09:05:22.135755 : Epoch  8, Batch    855, Loss  0.872296, Average Loss  0.869335, Time  0.412976
2021-09-23 09:05:27.101010 : Epoch  8, Batch    856, Loss  0.861288, Average Loss  0.869320, Time  0.412996
2021-09-23 09:05:32.064776 : Epoch  8, Batch    857, Loss  0.872052, Average Loss  0.869315, Time  0.413243
2021-09-23 09:05:37.034084 : Epoch  8, Batch    858, Loss  0.867548, Average Loss  0.869245, Time  0.412911
2021-09-23 09:05:42.008024 : Epoch  8, Batch    859, Loss  0.862237, Average Loss  0.869159, Time  0.413115
2021-09-23 09:05:46.980020 : Epoch  8, Batch    860, Loss  0.883011, Average Loss  0.869196, Time  0.413356
2021-09-23 09:05:51.956969 : Epoch  8, Batch    861, Loss  0.866395, Average Loss  0.869137, Time  0.414090
2021-09-23 09:05:56.928851 : Epoch  8, Batch    862, Loss  0.867383, Average Loss  0.869068, Time  0.413727
2021-09-23 09:06:01.933788 : Epoch  8, Batch    863, Loss  0.880519, Average Loss  0.869173, Time  0.452259
2021-09-23 09:06:06.916882 : Epoch  8, Batch    864, Loss  0.858547, Average Loss  0.869080, Time  0.415484
2021-09-23 09:06:11.919008 : Epoch  8, Batch    865, Loss  0.870912, Average Loss  0.869147, Time  0.415595
2021-09-23 09:06:16.891010 : Epoch  8, Batch    866, Loss  0.880333, Average Loss  0.869158, Time  0.412925
2021-09-23 09:06:21.884058 : Epoch  8, Batch    867, Loss  0.871539, Average Loss  0.869176, Time  0.416807
2021-09-23 09:06:26.858011 : Epoch  8, Batch    868, Loss  0.867357, Average Loss  0.869212, Time  0.413850
2021-09-23 09:06:31.828944 : Epoch  8, Batch    869, Loss  0.865054, Average Loss  0.869209, Time  0.413861
2021-09-23 09:06:36.800863 : Epoch  8, Batch    870, Loss  0.874670, Average Loss  0.869207, Time  0.413379
2021-09-23 09:06:41.776059 : Epoch  8, Batch    871, Loss  0.879114, Average Loss  0.869192, Time  0.415161
2021-09-23 09:06:46.784001 : Epoch  8, Batch    872, Loss  0.865402, Average Loss  0.869110, Time  0.450397
2021-09-23 09:06:51.764993 : Epoch  8, Batch    873, Loss  0.883202, Average Loss  0.869244, Time  0.413477
2021-09-23 09:06:56.741266 : Epoch  8, Batch    874, Loss  0.877578, Average Loss  0.869311, Time  0.413146
2021-09-23 09:07:01.706089 : Epoch  8, Batch    875, Loss  0.879315, Average Loss  0.869365, Time  0.413395
2021-09-23 09:07:06.663049 : Epoch  8, Batch    876, Loss  0.873911, Average Loss  0.869396, Time  0.413493
2021-09-23 09:07:11.623131 : Epoch  8, Batch    877, Loss  0.866618, Average Loss  0.869467, Time  0.413672
2021-09-23 09:07:16.592124 : Epoch  8, Batch    878, Loss  0.868538, Average Loss  0.869515, Time  0.414207
2021-09-23 09:07:21.564011 : Epoch  8, Batch    879, Loss  0.869340, Average Loss  0.869563, Time  0.413707
2021-09-23 09:07:26.532794 : Epoch  8, Batch    880, Loss  0.866321, Average Loss  0.869583, Time  0.413891
2021-09-23 09:07:31.542654 : Epoch  8, Batch    881, Loss  0.862841, Average Loss  0.869558, Time  0.460948
2021-09-23 09:07:36.512826 : Epoch  8, Batch    882, Loss  0.879736, Average Loss  0.869605, Time  0.413129
2021-09-23 09:07:41.486788 : Epoch  8, Batch    883, Loss  0.857408, Average Loss  0.869623, Time  0.414031
2021-09-23 09:07:46.453965 : Epoch  8, Batch    884, Loss  0.865165, Average Loss  0.869639, Time  0.413367
2021-09-23 09:07:51.420779 : Epoch  8, Batch    885, Loss  0.856280, Average Loss  0.869628, Time  0.413041
2021-09-23 09:07:56.378077 : Epoch  8, Batch    886, Loss  0.866350, Average Loss  0.869617, Time  0.412888
2021-09-23 09:08:01.350963 : Epoch  8, Batch    887, Loss  0.875933, Average Loss  0.869663, Time  0.413356
2021-09-23 09:08:06.317182 : Epoch  8, Batch    888, Loss  0.869185, Average Loss  0.869596, Time  0.413651
2021-09-23 09:08:11.276917 : Epoch  8, Batch    889, Loss  0.870058, Average Loss  0.869546, Time  0.413029
2021-09-23 09:08:16.288823 : Epoch  8, Batch    890, Loss  0.861133, Average Loss  0.869583, Time  0.453852
2021-09-23 09:08:21.259019 : Epoch  8, Batch    891, Loss  0.859509, Average Loss  0.869608, Time  0.413192
2021-09-23 09:08:26.241799 : Epoch  8, Batch    892, Loss  0.861359, Average Loss  0.869539, Time  0.413971
2021-09-23 09:08:31.220712 : Epoch  8, Batch    893, Loss  0.859490, Average Loss  0.869511, Time  0.413153
2021-09-23 09:08:36.193830 : Epoch  8, Batch    894, Loss  0.870828, Average Loss  0.869576, Time  0.413840
2021-09-23 09:08:41.160753 : Epoch  8, Batch    895, Loss  0.873425, Average Loss  0.869534, Time  0.413086
2021-09-23 09:08:46.127744 : Epoch  8, Batch    896, Loss  0.860809, Average Loss  0.869480, Time  0.413189
2021-09-23 09:08:51.099804 : Epoch  8, Batch    897, Loss  0.863329, Average Loss  0.869450, Time  0.413343
2021-09-23 09:08:56.067744 : Epoch  8, Batch    898, Loss  0.886773, Average Loss  0.869614, Time  0.413215
2021-09-23 09:09:01.068039 : Epoch  8, Batch    899, Loss  0.869748, Average Loss  0.869580, Time  0.461930
2021-09-23 09:09:06.031928 : Epoch  8, Batch    900, Loss  0.855330, Average Loss  0.869520, Time  0.413051
2021-09-23 09:09:10.990054 : Epoch  8, Batch    901, Loss  0.870059, Average Loss  0.869538, Time  0.413210
2021-09-23 09:09:15.949297 : Epoch  8, Batch    902, Loss  0.847485, Average Loss  0.869466, Time  0.413561
2021-09-23 09:09:20.931748 : Epoch  8, Batch    903, Loss  0.885607, Average Loss  0.869588, Time  0.414492
2021-09-23 09:09:25.925997 : Epoch  8, Batch    904, Loss  0.882106, Average Loss  0.869638, Time  0.430336
2021-09-23 09:13:22.193716 : CheckPoint: Validation Loss  0.00015124, Best Loss  0.00014643
2021-09-23 09:13:27.170809 : Epoch  8, Batch    905, Loss  0.863839, Average Loss  0.869562, Time  0.414958
2021-09-23 09:13:32.130770 : Epoch  8, Batch    906, Loss  0.878001, Average Loss  0.869664, Time  0.413183
2021-09-23 09:13:37.093743 : Epoch  8, Batch    907, Loss  0.877130, Average Loss  0.869807, Time  0.413172
2021-09-23 09:13:42.095064 : Epoch  8, Batch    908, Loss  0.874368, Average Loss  0.869836, Time  0.454527
2021-09-23 09:13:47.059118 : Epoch  8, Batch    909, Loss  0.857109, Average Loss  0.869779, Time  0.413309
2021-09-23 09:13:52.006631 : Epoch  8, Batch    910, Loss  0.871285, Average Loss  0.869800, Time  0.413715
2021-09-23 09:13:56.983735 : Epoch  8, Batch    911, Loss  0.867051, Average Loss  0.869846, Time  0.412956
2021-09-23 09:14:01.942605 : Epoch  8, Batch    912, Loss  0.880180, Average Loss  0.869879, Time  0.413189
2021-09-23 09:14:06.899756 : Epoch  8, Batch    913, Loss  0.870867, Average Loss  0.869785, Time  0.413114
2021-09-23 09:14:11.869076 : Epoch  8, Batch    914, Loss  0.871421, Average Loss  0.869766, Time  0.414423
2021-09-23 09:14:16.831108 : Epoch  8, Batch    915, Loss  0.869480, Average Loss  0.869876, Time  0.413915
2021-09-23 09:14:21.785730 : Epoch  8, Batch    916, Loss  0.874505, Average Loss  0.869972, Time  0.413974
2021-09-23 09:14:26.743731 : Epoch  8, Batch    917, Loss  0.865977, Average Loss  0.869915, Time  0.413090
2021-09-23 09:14:31.753988 : Epoch  8, Batch    918, Loss  0.864745, Average Loss  0.869848, Time  0.462221
2021-09-23 09:14:36.708740 : Epoch  8, Batch    919, Loss  0.850443, Average Loss  0.869754, Time  0.412893
2021-09-23 09:14:41.672997 : Epoch  8, Batch    920, Loss  0.858466, Average Loss  0.869627, Time  0.416552
2021-09-23 09:14:46.632826 : Epoch  8, Batch    921, Loss  0.880456, Average Loss  0.869684, Time  0.413313
2021-09-23 09:14:51.594992 : Epoch  8, Batch    922, Loss  0.852559, Average Loss  0.869548, Time  0.413689
2021-09-23 09:14:56.551984 : Epoch  8, Batch    923, Loss  0.873541, Average Loss  0.869505, Time  0.413265
2021-09-23 09:15:01.525037 : Epoch  8, Batch    924, Loss  0.873076, Average Loss  0.869443, Time  0.413152
2021-09-23 09:15:06.509011 : Epoch  8, Batch    925, Loss  0.862333, Average Loss  0.869392, Time  0.413112
2021-09-23 09:15:11.461816 : Epoch  8, Batch    926, Loss  0.870820, Average Loss  0.869464, Time  0.413608
2021-09-23 09:15:16.470044 : Epoch  8, Batch    927, Loss  0.872185, Average Loss  0.869482, Time  0.459560
2021-09-23 09:15:21.432006 : Epoch  8, Batch    928, Loss  0.863696, Average Loss  0.869352, Time  0.413888
2021-09-23 09:15:21.469770 : Saving Model after 8-th Epoch.
2021-09-23 09:15:22.179604 : Epoch Finished.
2021-09-23 09:15:30.857631 : Batch Shuffled
2021-09-23 09:15:35.799757 : Epoch  9, Batch      1, Loss  0.863927, Average Loss  0.869276, Time  0.413881
2021-09-23 09:15:40.742021 : Epoch  9, Batch      2, Loss  0.854585, Average Loss  0.869176, Time  0.413804
2021-09-23 09:15:45.671757 : Epoch  9, Batch      3, Loss  0.859016, Average Loss  0.869075, Time  0.413127
2021-09-23 09:15:50.620109 : Epoch  9, Batch      4, Loss  0.869305, Average Loss  0.869065, Time  0.413124
2021-09-23 09:15:55.569342 : Epoch  9, Batch      5, Loss  0.865690, Average Loss  0.869108, Time  0.413063
2021-09-23 09:16:00.513104 : Epoch  9, Batch      6, Loss  0.869142, Average Loss  0.869086, Time  0.413085
2021-09-23 09:16:05.509277 : Epoch  9, Batch      7, Loss  0.861900, Average Loss  0.869032, Time  0.459295
2021-09-23 09:16:10.458946 : Epoch  9, Batch      8, Loss  0.877494, Average Loss  0.869050, Time  0.413185
2021-09-23 09:16:15.414766 : Epoch  9, Batch      9, Loss  0.866055, Average Loss  0.869030, Time  0.413126
2021-09-23 09:16:20.373134 : Epoch  9, Batch     10, Loss  0.857720, Average Loss  0.868991, Time  0.414509
2021-09-23 09:16:25.340973 : Epoch  9, Batch     11, Loss  0.873757, Average Loss  0.869020, Time  0.413286
2021-09-23 09:16:30.308881 : Epoch  9, Batch     12, Loss  0.860874, Average Loss  0.869059, Time  0.414546
2021-09-23 09:16:35.253730 : Epoch  9, Batch     13, Loss  0.876743, Average Loss  0.869101, Time  0.413752
2021-09-23 09:16:40.205454 : Epoch  9, Batch     14, Loss  0.868687, Average Loss  0.869085, Time  0.413296
2021-09-23 09:16:45.151496 : Epoch  9, Batch     15, Loss  0.873721, Average Loss  0.869071, Time  0.413147
2021-09-23 09:16:50.112978 : Epoch  9, Batch     16, Loss  0.868079, Average Loss  0.869088, Time  0.431240
2021-09-23 09:16:55.058734 : Epoch  9, Batch     17, Loss  0.869054, Average Loss  0.869127, Time  0.413155
2021-09-23 09:17:00.003048 : Epoch  9, Batch     18, Loss  0.871056, Average Loss  0.869102, Time  0.412974
2021-09-23 09:17:04.934010 : Epoch  9, Batch     19, Loss  0.871371, Average Loss  0.869094, Time  0.413394
2021-09-23 09:17:09.863999 : Epoch  9, Batch     20, Loss  0.857228, Average Loss  0.868976, Time  0.413196
2021-09-23 09:17:14.805029 : Epoch  9, Batch     21, Loss  0.851665, Average Loss  0.868822, Time  0.412801
2021-09-23 09:17:19.761036 : Epoch  9, Batch     22, Loss  0.872012, Average Loss  0.868896, Time  0.414059
2021-09-23 09:17:24.715112 : Epoch  9, Batch     23, Loss  0.861494, Average Loss  0.868847, Time  0.414173
2021-09-23 09:17:29.656082 : Epoch  9, Batch     24, Loss  0.859274, Average Loss  0.868772, Time  0.413972
2021-09-23 09:17:34.596048 : Epoch  9, Batch     25, Loss  0.863035, Average Loss  0.868741, Time  0.413431
2021-09-23 09:17:39.590784 : Epoch  9, Batch     26, Loss  0.881861, Average Loss  0.868818, Time  0.456273
2021-09-23 09:17:44.533038 : Epoch  9, Batch     27, Loss  0.878041, Average Loss  0.868864, Time  0.413391
2021-09-23 09:17:49.465943 : Epoch  9, Batch     28, Loss  0.862905, Average Loss  0.868784, Time  0.412904
2021-09-23 09:17:54.414008 : Epoch  9, Batch     29, Loss  0.861755, Average Loss  0.868722, Time  0.412996
2021-09-23 09:17:59.364053 : Epoch  9, Batch     30, Loss  0.858263, Average Loss  0.868691, Time  0.412875
2021-09-23 09:18:04.313040 : Epoch  9, Batch     31, Loss  0.876814, Average Loss  0.868706, Time  0.413473
2021-09-23 09:18:09.262056 : Epoch  9, Batch     32, Loss  0.877738, Average Loss  0.868831, Time  0.413419
2021-09-23 09:18:14.212017 : Epoch  9, Batch     33, Loss  0.871189, Average Loss  0.868812, Time  0.413046
2021-09-23 09:18:19.156789 : Epoch  9, Batch     34, Loss  0.862872, Average Loss  0.868774, Time  0.413585
2021-09-23 09:18:24.151777 : Epoch  9, Batch     35, Loss  0.872439, Average Loss  0.868745, Time  0.449968
2021-09-23 09:18:29.104356 : Epoch  9, Batch     36, Loss  0.877150, Average Loss  0.868735, Time  0.413356
2021-09-23 09:18:34.056108 : Epoch  9, Batch     37, Loss  0.887595, Average Loss  0.868795, Time  0.414555
2021-09-23 09:18:38.996023 : Epoch  9, Batch     38, Loss  0.870903, Average Loss  0.868837, Time  0.413531
2021-09-23 09:18:43.950850 : Epoch  9, Batch     39, Loss  0.858174, Average Loss  0.868805, Time  0.414253
2021-09-23 09:18:48.893006 : Epoch  9, Batch     40, Loss  0.874321, Average Loss  0.868869, Time  0.413012
2021-09-23 09:18:53.838023 : Epoch  9, Batch     41, Loss  0.857710, Average Loss  0.868784, Time  0.412989
2021-09-23 09:18:58.823867 : Epoch  9, Batch     42, Loss  0.857936, Average Loss  0.868629, Time  0.413396
2021-09-23 09:19:03.772990 : Epoch  9, Batch     43, Loss  0.870442, Average Loss  0.868599, Time  0.413245
2021-09-23 09:19:08.716947 : Epoch  9, Batch     44, Loss  0.883726, Average Loss  0.868663, Time  0.413449
2021-09-23 09:19:13.723019 : Epoch  9, Batch     45, Loss  0.857295, Average Loss  0.868617, Time  0.464469
2021-09-23 09:19:18.676975 : Epoch  9, Batch     46, Loss  0.864969, Average Loss  0.868580, Time  0.421061
2021-09-23 09:19:23.626058 : Epoch  9, Batch     47, Loss  0.858597, Average Loss  0.868463, Time  0.413103
2021-09-23 09:19:28.585934 : Epoch  9, Batch     48, Loss  0.875354, Average Loss  0.868485, Time  0.414102
2021-09-23 09:19:33.548018 : Epoch  9, Batch     49, Loss  0.868765, Average Loss  0.868519, Time  0.413540
2021-09-23 09:19:38.502185 : Epoch  9, Batch     50, Loss  0.875014, Average Loss  0.868475, Time  0.414183
2021-09-23 09:19:43.445730 : Epoch  9, Batch     51, Loss  0.876133, Average Loss  0.868470, Time  0.413257
2021-09-23 09:19:48.406723 : Epoch  9, Batch     52, Loss  0.883367, Average Loss  0.868585, Time  0.413620
2021-09-23 09:19:53.360884 : Epoch  9, Batch     53, Loss  0.862907, Average Loss  0.868590, Time  0.413253
2021-09-23 09:19:58.351753 : Epoch  9, Batch     54, Loss  0.869870, Average Loss  0.868613, Time  0.450563
2021-09-23 09:20:03.347804 : Epoch  9, Batch     55, Loss  0.871798, Average Loss  0.868662, Time  0.413425
2021-09-23 09:20:08.308740 : Epoch  9, Batch     56, Loss  0.873820, Average Loss  0.868719, Time  0.413226
2021-09-23 09:20:13.263032 : Epoch  9, Batch     57, Loss  0.868463, Average Loss  0.868731, Time  0.413180
2021-09-23 09:20:18.225963 : Epoch  9, Batch     58, Loss  0.877451, Average Loss  0.868748, Time  0.413782
2021-09-23 09:20:23.195148 : Epoch  9, Batch     59, Loss  0.850663, Average Loss  0.868666, Time  0.413196
2021-09-23 09:20:28.141908 : Epoch  9, Batch     60, Loss  0.868148, Average Loss  0.868669, Time  0.413353
2021-09-23 09:20:33.096755 : Epoch  9, Batch     61, Loss  0.876318, Average Loss  0.868723, Time  0.414538
2021-09-23 09:20:38.063106 : Epoch  9, Batch     62, Loss  0.859024, Average Loss  0.868605, Time  0.413769
2021-09-23 09:20:43.010442 : Epoch  9, Batch     63, Loss  0.857793, Average Loss  0.868563, Time  0.413739
2021-09-23 09:20:48.019984 : Epoch  9, Batch     64, Loss  0.880967, Average Loss  0.868654, Time  0.455684
2021-09-23 09:20:52.992758 : Epoch  9, Batch     65, Loss  0.870468, Average Loss  0.868625, Time  0.413679
2021-09-23 09:20:57.934122 : Epoch  9, Batch     66, Loss  0.862144, Average Loss  0.868603, Time  0.413105
2021-09-23 09:21:02.897829 : Epoch  9, Batch     67, Loss  0.871042, Average Loss  0.868594, Time  0.413140
2021-09-23 09:21:07.865251 : Epoch  9, Batch     68, Loss  0.870870, Average Loss  0.868606, Time  0.413732
2021-09-23 09:21:12.809758 : Epoch  9, Batch     69, Loss  0.849824, Average Loss  0.868473, Time  0.413012
2021-09-23 09:21:17.758108 : Epoch  9, Batch     70, Loss  0.863487, Average Loss  0.868514, Time  0.413260
2021-09-23 09:21:22.707746 : Epoch  9, Batch     71, Loss  0.867905, Average Loss  0.868510, Time  0.413440
2021-09-23 09:21:27.656729 : Epoch  9, Batch     72, Loss  0.862535, Average Loss  0.868508, Time  0.413311
2021-09-23 09:21:32.650343 : Epoch  9, Batch     73, Loss  0.873419, Average Loss  0.868531, Time  0.460663
2021-09-23 09:21:37.629971 : Epoch  9, Batch     74, Loss  0.871775, Average Loss  0.868512, Time  0.414373
2021-09-23 09:21:42.574902 : Epoch  9, Batch     75, Loss  0.852760, Average Loss  0.868443, Time  0.414209
2021-09-23 09:21:47.524807 : Epoch  9, Batch     76, Loss  0.863970, Average Loss  0.868432, Time  0.413755
2021-09-23 09:25:43.488718 : CheckPoint: Validation Loss  0.00015248, Best Loss  0.00014643
2021-09-23 09:25:48.435056 : Epoch  9, Batch     77, Loss  0.864761, Average Loss  0.868427, Time  0.414346
2021-09-23 09:25:53.386134 : Epoch  9, Batch     78, Loss  0.855643, Average Loss  0.868376, Time  0.413376
2021-09-23 09:25:58.340980 : Epoch  9, Batch     79, Loss  0.870395, Average Loss  0.868408, Time  0.414105
2021-09-23 09:26:03.289029 : Epoch  9, Batch     80, Loss  0.863546, Average Loss  0.868403, Time  0.413565
2021-09-23 09:26:08.246715 : Epoch  9, Batch     81, Loss  0.868110, Average Loss  0.868395, Time  0.413070
2021-09-23 09:26:13.231018 : Epoch  9, Batch     82, Loss  0.868745, Average Loss  0.868385, Time  0.449037
2021-09-23 09:26:18.187750 : Epoch  9, Batch     83, Loss  0.863552, Average Loss  0.868316, Time  0.413007
2021-09-23 09:26:23.157757 : Epoch  9, Batch     84, Loss  0.859272, Average Loss  0.868314, Time  0.414527
2021-09-23 09:26:28.101737 : Epoch  9, Batch     85, Loss  0.868105, Average Loss  0.868294, Time  0.413278
2021-09-23 09:26:33.049177 : Epoch  9, Batch     86, Loss  0.868877, Average Loss  0.868247, Time  0.414055
2021-09-23 09:26:38.000067 : Epoch  9, Batch     87, Loss  0.855373, Average Loss  0.868139, Time  0.413761
2021-09-23 09:26:42.974407 : Epoch  9, Batch     88, Loss  0.861205, Average Loss  0.868037, Time  0.414239
2021-09-23 09:26:47.932044 : Epoch  9, Batch     89, Loss  0.883228, Average Loss  0.868007, Time  0.413355
2021-09-23 09:26:52.902827 : Epoch  9, Batch     90, Loss  0.881883, Average Loss  0.868098, Time  0.413235
2021-09-23 09:26:57.855382 : Epoch  9, Batch     91, Loss  0.874288, Average Loss  0.868159, Time  0.413051
2021-09-23 09:27:02.860078 : Epoch  9, Batch     92, Loss  0.879222, Average Loss  0.868215, Time  0.463636
2021-09-23 09:27:07.812976 : Epoch  9, Batch     93, Loss  0.868124, Average Loss  0.868192, Time  0.413162
2021-09-23 09:27:12.772099 : Epoch  9, Batch     94, Loss  0.862091, Average Loss  0.868231, Time  0.413144
2021-09-23 09:27:17.725753 : Epoch  9, Batch     95, Loss  0.866734, Average Loss  0.868210, Time  0.413141
2021-09-23 09:27:22.684955 : Epoch  9, Batch     96, Loss  0.883620, Average Loss  0.868295, Time  0.413100
2021-09-23 09:27:27.663399 : Epoch  9, Batch     97, Loss  0.860936, Average Loss  0.868274, Time  0.414889
2021-09-23 09:27:32.617080 : Epoch  9, Batch     98, Loss  0.875499, Average Loss  0.868264, Time  0.413450
2021-09-23 09:27:37.577595 : Epoch  9, Batch     99, Loss  0.858920, Average Loss  0.868181, Time  0.414228
2021-09-23 09:27:42.538011 : Epoch  9, Batch    100, Loss  0.867608, Average Loss  0.868186, Time  0.413805
2021-09-23 09:27:47.554027 : Epoch  9, Batch    101, Loss  0.871838, Average Loss  0.868219, Time  0.462747
2021-09-23 09:27:52.508751 : Epoch  9, Batch    102, Loss  0.871335, Average Loss  0.868299, Time  0.413592
2021-09-23 09:27:57.460732 : Epoch  9, Batch    103, Loss  0.862404, Average Loss  0.868269, Time  0.413080
2021-09-23 09:28:02.420865 : Epoch  9, Batch    104, Loss  0.864655, Average Loss  0.868256, Time  0.413256
2021-09-23 09:28:07.375904 : Epoch  9, Batch    105, Loss  0.873430, Average Loss  0.868297, Time  0.413379
2021-09-23 09:28:12.318129 : Epoch  9, Batch    106, Loss  0.884352, Average Loss  0.868460, Time  0.413095
2021-09-23 09:28:17.264054 : Epoch  9, Batch    107, Loss  0.877399, Average Loss  0.868447, Time  0.413504
2021-09-23 09:28:22.212129 : Epoch  9, Batch    108, Loss  0.869245, Average Loss  0.868461, Time  0.413329
2021-09-23 09:28:27.159459 : Epoch  9, Batch    109, Loss  0.890847, Average Loss  0.868533, Time  0.413483
2021-09-23 09:28:32.107455 : Epoch  9, Batch    110, Loss  0.874967, Average Loss  0.868528, Time  0.414807
2021-09-23 09:28:37.108983 : Epoch  9, Batch    111, Loss  0.859932, Average Loss  0.868524, Time  0.457537
2021-09-23 09:28:42.056051 : Epoch  9, Batch    112, Loss  0.868259, Average Loss  0.868523, Time  0.414019
2021-09-23 09:28:46.995738 : Epoch  9, Batch    113, Loss  0.859443, Average Loss  0.868476, Time  0.413198
2021-09-23 09:28:52.025790 : Epoch  9, Batch    114, Loss  0.853450, Average Loss  0.868432, Time  0.413721
2021-09-23 09:28:56.971729 : Epoch  9, Batch    115, Loss  0.880163, Average Loss  0.868450, Time  0.413317
2021-09-23 09:29:01.934136 : Epoch  9, Batch    116, Loss  0.864567, Average Loss  0.868436, Time  0.413272
2021-09-23 09:29:06.889730 : Epoch  9, Batch    117, Loss  0.861065, Average Loss  0.868321, Time  0.413358
2021-09-23 09:29:11.834740 : Epoch  9, Batch    118, Loss  0.878804, Average Loss  0.868365, Time  0.413910
2021-09-23 09:29:16.782986 : Epoch  9, Batch    119, Loss  0.876212, Average Loss  0.868442, Time  0.412864
2021-09-23 09:29:21.789112 : Epoch  9, Batch    120, Loss  0.888437, Average Loss  0.868569, Time  0.461092
2021-09-23 09:29:26.738230 : Epoch  9, Batch    121, Loss  0.866359, Average Loss  0.868598, Time  0.413437
2021-09-23 09:29:31.681933 : Epoch  9, Batch    122, Loss  0.885273, Average Loss  0.868651, Time  0.413357
2021-09-23 09:29:36.645128 : Epoch  9, Batch    123, Loss  0.874249, Average Loss  0.868654, Time  0.417585
2021-09-23 09:29:41.607073 : Epoch  9, Batch    124, Loss  0.876078, Average Loss  0.868625, Time  0.413845
2021-09-23 09:29:46.557001 : Epoch  9, Batch    125, Loss  0.863577, Average Loss  0.868704, Time  0.414072
2021-09-23 09:29:51.513949 : Epoch  9, Batch    126, Loss  0.879806, Average Loss  0.868757, Time  0.414181
2021-09-23 09:29:56.486727 : Epoch  9, Batch    127, Loss  0.860479, Average Loss  0.868698, Time  0.413471
2021-09-23 09:30:01.453062 : Epoch  9, Batch    128, Loss  0.886025, Average Loss  0.868822, Time  0.413780
2021-09-23 09:30:06.457727 : Epoch  9, Batch    129, Loss  0.864999, Average Loss  0.868787, Time  0.460553
2021-09-23 09:30:11.450218 : Epoch  9, Batch    130, Loss  0.880518, Average Loss  0.868852, Time  0.426107
2021-09-23 09:30:16.415961 : Epoch  9, Batch    131, Loss  0.861928, Average Loss  0.868850, Time  0.413014
2021-09-23 09:30:21.369601 : Epoch  9, Batch    132, Loss  0.863711, Average Loss  0.868754, Time  0.413933
2021-09-23 09:30:26.323728 : Epoch  9, Batch    133, Loss  0.868049, Average Loss  0.868762, Time  0.413047
2021-09-23 09:30:31.269157 : Epoch  9, Batch    134, Loss  0.877607, Average Loss  0.868813, Time  0.413282
2021-09-23 09:30:36.236738 : Epoch  9, Batch    135, Loss  0.858349, Average Loss  0.868702, Time  0.414844
2021-09-23 09:30:41.195730 : Epoch  9, Batch    136, Loss  0.865527, Average Loss  0.868737, Time  0.413012
2021-09-23 09:30:46.142221 : Epoch  9, Batch    137, Loss  0.863597, Average Loss  0.868700, Time  0.414959
2021-09-23 09:30:51.182988 : Epoch  9, Batch    138, Loss  0.883397, Average Loss  0.868716, Time  0.457247
2021-09-23 09:30:56.160510 : Epoch  9, Batch    139, Loss  0.865415, Average Loss  0.868685, Time  0.426448
2021-09-23 09:31:01.113036 : Epoch  9, Batch    140, Loss  0.863887, Average Loss  0.868668, Time  0.413513
2021-09-23 09:31:06.049723 : Epoch  9, Batch    141, Loss  0.873374, Average Loss  0.868709, Time  0.413315
2021-09-23 09:31:11.007337 : Epoch  9, Batch    142, Loss  0.853306, Average Loss  0.868603, Time  0.413055
2021-09-23 09:31:15.949984 : Epoch  9, Batch    143, Loss  0.856709, Average Loss  0.868490, Time  0.413032
2021-09-23 09:31:20.885974 : Epoch  9, Batch    144, Loss  0.861169, Average Loss  0.868469, Time  0.413321
2021-09-23 09:31:25.825743 : Epoch  9, Batch    145, Loss  0.884056, Average Loss  0.868474, Time  0.413495
2021-09-23 09:31:30.770778 : Epoch  9, Batch    146, Loss  0.883046, Average Loss  0.868501, Time  0.413198
2021-09-23 09:31:35.720847 : Epoch  9, Batch    147, Loss  0.872108, Average Loss  0.868465, Time  0.413215
2021-09-23 09:31:40.721037 : Epoch  9, Batch    148, Loss  0.872820, Average Loss  0.868459, Time  0.454062
2021-09-23 09:31:45.668988 : Epoch  9, Batch    149, Loss  0.865788, Average Loss  0.868455, Time  0.416787
2021-09-23 09:31:50.622036 : Epoch  9, Batch    150, Loss  0.859004, Average Loss  0.868408, Time  0.413795
2021-09-23 09:31:55.559795 : Epoch  9, Batch    151, Loss  0.878850, Average Loss  0.868455, Time  0.413672
2021-09-23 09:32:00.516194 : Epoch  9, Batch    152, Loss  0.878653, Average Loss  0.868517, Time  0.413274
2021-09-23 09:32:05.466108 : Epoch  9, Batch    153, Loss  0.877933, Average Loss  0.868592, Time  0.413248
2021-09-23 09:32:10.418469 : Epoch  9, Batch    154, Loss  0.870722, Average Loss  0.868547, Time  0.413114
2021-09-23 09:32:15.360077 : Epoch  9, Batch    155, Loss  0.850677, Average Loss  0.868514, Time  0.413354
2021-09-23 09:32:20.315752 : Epoch  9, Batch    156, Loss  0.880446, Average Loss  0.868590, Time  0.413390
2021-09-23 09:32:25.320810 : Epoch  9, Batch    157, Loss  0.882365, Average Loss  0.868720, Time  0.453860
2021-09-23 09:32:30.281067 : Epoch  9, Batch    158, Loss  0.861780, Average Loss  0.868698, Time  0.413035
2021-09-23 09:32:35.258718 : Epoch  9, Batch    159, Loss  0.869147, Average Loss  0.868664, Time  0.413724
2021-09-23 09:32:40.216999 : Epoch  9, Batch    160, Loss  0.868054, Average Loss  0.868658, Time  0.414602
2021-09-23 09:32:45.210202 : Epoch  9, Batch    161, Loss  0.869437, Average Loss  0.868655, Time  0.414290
2021-09-23 09:32:50.168009 : Epoch  9, Batch    162, Loss  0.869334, Average Loss  0.868696, Time  0.413435
2021-09-23 09:32:55.143997 : Epoch  9, Batch    163, Loss  0.869318, Average Loss  0.868745, Time  0.414481
2021-09-23 09:33:00.094975 : Epoch  9, Batch    164, Loss  0.880961, Average Loss  0.868843, Time  0.414281
2021-09-23 09:33:05.043987 : Epoch  9, Batch    165, Loss  0.883398, Average Loss  0.868962, Time  0.413056
2021-09-23 09:33:10.000436 : Epoch  9, Batch    166, Loss  0.877471, Average Loss  0.868996, Time  0.413374
2021-09-23 09:33:14.998720 : Epoch  9, Batch    167, Loss  0.874193, Average Loss  0.869000, Time  0.448488
2021-09-23 09:33:19.940965 : Epoch  9, Batch    168, Loss  0.876844, Average Loss  0.869080, Time  0.413152
2021-09-23 09:33:24.893742 : Epoch  9, Batch    169, Loss  0.886954, Average Loss  0.869198, Time  0.413145
2021-09-23 09:33:29.843484 : Epoch  9, Batch    170, Loss  0.868402, Average Loss  0.869106, Time  0.413225
2021-09-23 09:33:34.821742 : Epoch  9, Batch    171, Loss  0.867027, Average Loss  0.869092, Time  0.413159
2021-09-23 09:33:39.791005 : Epoch  9, Batch    172, Loss  0.870285, Average Loss  0.869167, Time  0.413289
2021-09-23 09:33:44.757996 : Epoch  9, Batch    173, Loss  0.864389, Average Loss  0.869139, Time  0.413252
2021-09-23 09:33:49.703108 : Epoch  9, Batch    174, Loss  0.874474, Average Loss  0.869274, Time  0.414300
2021-09-23 09:33:54.643242 : Epoch  9, Batch    175, Loss  0.867847, Average Loss  0.869185, Time  0.414414
2021-09-23 09:33:59.660927 : Epoch  9, Batch    176, Loss  0.872660, Average Loss  0.869138, Time  0.454666
2021-09-23 09:37:55.299726 : CheckPoint: Validation Loss  0.00014540, Best Loss  0.00014540
2021-09-23 09:37:55.342553 : Best Model Updated
2021-09-23 09:38:01.087777 : Epoch  9, Batch    177, Loss  0.864906, Average Loss  0.869143, Time  0.419514
2021-09-23 09:38:06.036800 : Epoch  9, Batch    178, Loss  0.876099, Average Loss  0.869134, Time  0.413120
2021-09-23 09:38:10.991815 : Epoch  9, Batch    179, Loss  0.867793, Average Loss  0.869087, Time  0.412861
2021-09-23 09:38:15.940807 : Epoch  9, Batch    180, Loss  0.871917, Average Loss  0.869075, Time  0.413446
2021-09-23 09:38:20.894708 : Epoch  9, Batch    181, Loss  0.876594, Average Loss  0.869172, Time  0.412914
2021-09-23 09:38:25.852331 : Epoch  9, Batch    182, Loss  0.873006, Average Loss  0.869181, Time  0.412943
2021-09-23 09:38:30.805906 : Epoch  9, Batch    183, Loss  0.886680, Average Loss  0.869279, Time  0.414473
2021-09-23 09:38:35.760359 : Epoch  9, Batch    184, Loss  0.873755, Average Loss  0.869247, Time  0.413210
2021-09-23 09:38:40.770928 : Epoch  9, Batch    185, Loss  0.856254, Average Loss  0.869174, Time  0.458617
2021-09-23 09:38:45.734889 : Epoch  9, Batch    186, Loss  0.885310, Average Loss  0.869243, Time  0.413986
2021-09-23 09:38:50.677844 : Epoch  9, Batch    187, Loss  0.869594, Average Loss  0.869244, Time  0.413921
2021-09-23 09:38:55.631865 : Epoch  9, Batch    188, Loss  0.873232, Average Loss  0.869237, Time  0.413413
2021-09-23 09:39:00.592838 : Epoch  9, Batch    189, Loss  0.877623, Average Loss  0.869295, Time  0.413413
2021-09-23 09:39:05.534328 : Epoch  9, Batch    190, Loss  0.874180, Average Loss  0.869343, Time  0.412835
2021-09-23 09:39:10.484781 : Epoch  9, Batch    191, Loss  0.860696, Average Loss  0.869394, Time  0.413143
2021-09-23 09:39:15.437814 : Epoch  9, Batch    192, Loss  0.873649, Average Loss  0.869470, Time  0.413041
2021-09-23 09:39:20.383740 : Epoch  9, Batch    193, Loss  0.871998, Average Loss  0.869428, Time  0.413224
2021-09-23 09:39:25.397235 : Epoch  9, Batch    194, Loss  0.855581, Average Loss  0.869443, Time  0.464958
2021-09-23 09:39:30.344904 : Epoch  9, Batch    195, Loss  0.872672, Average Loss  0.869438, Time  0.415349
2021-09-23 09:39:35.293021 : Epoch  9, Batch    196, Loss  0.857697, Average Loss  0.869361, Time  0.413145
2021-09-23 09:39:40.253778 : Epoch  9, Batch    197, Loss  0.878176, Average Loss  0.869441, Time  0.412876
2021-09-23 09:39:45.195009 : Epoch  9, Batch    198, Loss  0.855339, Average Loss  0.869363, Time  0.414195
2021-09-23 09:39:50.149031 : Epoch  9, Batch    199, Loss  0.879118, Average Loss  0.869398, Time  0.413600
2021-09-23 09:39:55.090783 : Epoch  9, Batch    200, Loss  0.876072, Average Loss  0.869460, Time  0.413700
2021-09-23 09:40:00.034677 : Epoch  9, Batch    201, Loss  0.845512, Average Loss  0.869368, Time  0.414738
2021-09-23 09:40:05.082867 : Epoch  9, Batch    202, Loss  0.860689, Average Loss  0.869398, Time  0.413228
2021-09-23 09:40:10.033800 : Epoch  9, Batch    203, Loss  0.870326, Average Loss  0.869455, Time  0.412913
2021-09-23 09:40:15.020806 : Epoch  9, Batch    204, Loss  0.868941, Average Loss  0.869453, Time  0.453679
2021-09-23 09:40:19.958764 : Epoch  9, Batch    205, Loss  0.887165, Average Loss  0.869560, Time  0.413107
2021-09-23 09:40:24.902073 : Epoch  9, Batch    206, Loss  0.886210, Average Loss  0.869646, Time  0.413183
2021-09-23 09:40:29.846718 : Epoch  9, Batch    207, Loss  0.874378, Average Loss  0.869708, Time  0.413066
2021-09-23 09:40:34.805956 : Epoch  9, Batch    208, Loss  0.868851, Average Loss  0.869665, Time  0.413114
2021-09-23 09:40:39.745778 : Epoch  9, Batch    209, Loss  0.860364, Average Loss  0.869636, Time  0.413878
2021-09-23 09:40:44.697989 : Epoch  9, Batch    210, Loss  0.879457, Average Loss  0.869745, Time  0.413043
2021-09-23 09:40:49.650972 : Epoch  9, Batch    211, Loss  0.863450, Average Loss  0.869693, Time  0.414480
2021-09-23 09:40:54.598823 : Epoch  9, Batch    212, Loss  0.868327, Average Loss  0.869731, Time  0.413682
2021-09-23 09:40:59.561728 : Epoch  9, Batch    213, Loss  0.866543, Average Loss  0.869680, Time  0.426350
2021-09-23 09:41:04.523804 : Epoch  9, Batch    214, Loss  0.865075, Average Loss  0.869662, Time  0.414180
2021-09-23 09:41:09.470719 : Epoch  9, Batch    215, Loss  0.872367, Average Loss  0.869655, Time  0.412945
2021-09-23 09:41:14.420817 : Epoch  9, Batch    216, Loss  0.880961, Average Loss  0.869719, Time  0.413319
2021-09-23 09:41:19.382739 : Epoch  9, Batch    217, Loss  0.864223, Average Loss  0.869695, Time  0.412789
2021-09-23 09:41:24.323296 : Epoch  9, Batch    218, Loss  0.869936, Average Loss  0.869690, Time  0.413450
2021-09-23 09:41:29.277745 : Epoch  9, Batch    219, Loss  0.857573, Average Loss  0.869621, Time  0.413505
2021-09-23 09:41:34.226968 : Epoch  9, Batch    220, Loss  0.863574, Average Loss  0.869652, Time  0.412986
2021-09-23 09:41:39.184964 : Epoch  9, Batch    221, Loss  0.862438, Average Loss  0.869706, Time  0.423469
2021-09-23 09:41:44.135948 : Epoch  9, Batch    222, Loss  0.854431, Average Loss  0.869618, Time  0.413141
2021-09-23 09:41:49.121965 : Epoch  9, Batch    223, Loss  0.882119, Average Loss  0.869721, Time  0.450638
2021-09-23 09:41:54.085010 : Epoch  9, Batch    224, Loss  0.869384, Average Loss  0.869772, Time  0.413750
2021-09-23 09:41:59.043008 : Epoch  9, Batch    225, Loss  0.866047, Average Loss  0.869787, Time  0.413687
2021-09-23 09:42:03.983952 : Epoch  9, Batch    226, Loss  0.881589, Average Loss  0.869786, Time  0.413708
2021-09-23 09:42:08.936748 : Epoch  9, Batch    227, Loss  0.859851, Average Loss  0.869695, Time  0.413348
2021-09-23 09:42:13.888985 : Epoch  9, Batch    228, Loss  0.874279, Average Loss  0.869752, Time  0.413084
2021-09-23 09:42:18.837727 : Epoch  9, Batch    229, Loss  0.868489, Average Loss  0.869785, Time  0.413354
2021-09-23 09:42:23.791059 : Epoch  9, Batch    230, Loss  0.883907, Average Loss  0.869913, Time  0.413361
2021-09-23 09:42:28.742724 : Epoch  9, Batch    231, Loss  0.870546, Average Loss  0.869882, Time  0.416510
2021-09-23 09:42:33.741744 : Epoch  9, Batch    232, Loss  0.869204, Average Loss  0.869839, Time  0.461452
2021-09-23 09:42:38.672336 : Epoch  9, Batch    233, Loss  0.865128, Average Loss  0.869809, Time  0.413522
2021-09-23 09:42:43.607604 : Epoch  9, Batch    234, Loss  0.881809, Average Loss  0.869904, Time  0.413291
2021-09-23 09:42:48.539961 : Epoch  9, Batch    235, Loss  0.879222, Average Loss  0.869938, Time  0.412835
2021-09-23 09:42:53.490919 : Epoch  9, Batch    236, Loss  0.861839, Average Loss  0.869861, Time  0.414616
2021-09-23 09:42:58.444084 : Epoch  9, Batch    237, Loss  0.871520, Average Loss  0.869781, Time  0.414358
2021-09-23 09:43:03.394270 : Epoch  9, Batch    238, Loss  0.868980, Average Loss  0.869771, Time  0.414532
2021-09-23 09:43:08.347798 : Epoch  9, Batch    239, Loss  0.873363, Average Loss  0.869847, Time  0.414026
2021-09-23 09:43:13.310752 : Epoch  9, Batch    240, Loss  0.857355, Average Loss  0.869762, Time  0.413860
2021-09-23 09:43:18.306804 : Epoch  9, Batch    241, Loss  0.864227, Average Loss  0.869795, Time  0.453943
2021-09-23 09:43:23.251889 : Epoch  9, Batch    242, Loss  0.865626, Average Loss  0.869833, Time  0.413586
2021-09-23 09:43:28.189981 : Epoch  9, Batch    243, Loss  0.854542, Average Loss  0.869754, Time  0.412870
2021-09-23 09:43:33.159065 : Epoch  9, Batch    244, Loss  0.863819, Average Loss  0.869654, Time  0.413401
2021-09-23 09:43:38.103824 : Epoch  9, Batch    245, Loss  0.871475, Average Loss  0.869725, Time  0.413846
2021-09-23 09:43:43.049826 : Epoch  9, Batch    246, Loss  0.870388, Average Loss  0.869752, Time  0.413481
2021-09-23 09:43:47.994786 : Epoch  9, Batch    247, Loss  0.869326, Average Loss  0.869806, Time  0.412930
2021-09-23 09:43:52.964162 : Epoch  9, Batch    248, Loss  0.861916, Average Loss  0.869739, Time  0.415446
2021-09-23 09:43:57.923015 : Epoch  9, Batch    249, Loss  0.878885, Average Loss  0.869789, Time  0.413411
2021-09-23 09:44:02.863063 : Epoch  9, Batch    250, Loss  0.869978, Average Loss  0.869764, Time  0.414292
2021-09-23 09:44:07.848987 : Epoch  9, Batch    251, Loss  0.867303, Average Loss  0.869720, Time  0.450085
2021-09-23 09:44:12.820813 : Epoch  9, Batch    252, Loss  0.867403, Average Loss  0.869640, Time  0.421106
2021-09-23 09:44:17.774790 : Epoch  9, Batch    253, Loss  0.860768, Average Loss  0.869630, Time  0.413153
2021-09-23 09:44:22.768948 : Epoch  9, Batch    254, Loss  0.867848, Average Loss  0.869619, Time  0.413715
2021-09-23 09:44:27.711012 : Epoch  9, Batch    255, Loss  0.870634, Average Loss  0.869614, Time  0.413203
2021-09-23 09:44:32.706201 : Epoch  9, Batch    256, Loss  0.879543, Average Loss  0.869642, Time  0.413185
2021-09-23 09:44:37.655962 : Epoch  9, Batch    257, Loss  0.856252, Average Loss  0.869581, Time  0.413205
2021-09-23 09:44:42.606971 : Epoch  9, Batch    258, Loss  0.864462, Average Loss  0.869516, Time  0.413244
2021-09-23 09:44:47.559978 : Epoch  9, Batch    259, Loss  0.873783, Average Loss  0.869632, Time  0.413230
2021-09-23 09:44:52.545984 : Epoch  9, Batch    260, Loss  0.862203, Average Loss  0.869602, Time  0.452583
2021-09-23 09:44:57.503814 : Epoch  9, Batch    261, Loss  0.865173, Average Loss  0.869546, Time  0.414508
2021-09-23 09:45:02.503915 : Epoch  9, Batch    262, Loss  0.867540, Average Loss  0.869589, Time  0.413967
2021-09-23 09:45:07.457053 : Epoch  9, Batch    263, Loss  0.861244, Average Loss  0.869606, Time  0.413614
2021-09-23 09:45:12.414148 : Epoch  9, Batch    264, Loss  0.855151, Average Loss  0.869477, Time  0.413464
2021-09-23 09:45:17.372130 : Epoch  9, Batch    265, Loss  0.869764, Average Loss  0.869474, Time  0.413601
2021-09-23 09:45:22.327815 : Epoch  9, Batch    266, Loss  0.863430, Average Loss  0.869480, Time  0.413506
2021-09-23 09:45:27.290778 : Epoch  9, Batch    267, Loss  0.870483, Average Loss  0.869477, Time  0.412946
2021-09-23 09:45:32.254015 : Epoch  9, Batch    268, Loss  0.871943, Average Loss  0.869483, Time  0.413212
2021-09-23 09:45:37.216117 : Epoch  9, Batch    269, Loss  0.871381, Average Loss  0.869590, Time  0.413297
2021-09-23 09:45:42.218932 : Epoch  9, Batch    270, Loss  0.862620, Average Loss  0.869586, Time  0.454712
2021-09-23 09:45:47.172930 : Epoch  9, Batch    271, Loss  0.873797, Average Loss  0.869616, Time  0.413668
2021-09-23 09:45:52.119474 : Epoch  9, Batch    272, Loss  0.874020, Average Loss  0.869673, Time  0.413293
2021-09-23 09:45:57.076017 : Epoch  9, Batch    273, Loss  0.871714, Average Loss  0.869664, Time  0.412981
2021-09-23 09:46:02.037043 : Epoch  9, Batch    274, Loss  0.872457, Average Loss  0.869668, Time  0.415043
2021-09-23 09:46:07.006965 : Epoch  9, Batch    275, Loss  0.857006, Average Loss  0.869689, Time  0.414057
2021-09-23 09:46:11.969869 : Epoch  9, Batch    276, Loss  0.887695, Average Loss  0.869808, Time  0.414151
2021-09-23 09:50:08.782723 : CheckPoint: Validation Loss  0.00015149, Best Loss  0.00014540
2021-09-23 09:50:13.731767 : Epoch  9, Batch    277, Loss  0.875215, Average Loss  0.869860, Time  0.414501
2021-09-23 09:50:18.701989 : Epoch  9, Batch    278, Loss  0.862687, Average Loss  0.869895, Time  0.412869
2021-09-23 09:50:23.712007 : Epoch  9, Batch    279, Loss  0.865563, Average Loss  0.869871, Time  0.462985
2021-09-23 09:50:28.649960 : Epoch  9, Batch    280, Loss  0.872169, Average Loss  0.869914, Time  0.413456
2021-09-23 09:50:33.598970 : Epoch  9, Batch    281, Loss  0.866618, Average Loss  0.869907, Time  0.412884
2021-09-23 09:50:38.562896 : Epoch  9, Batch    282, Loss  0.862039, Average Loss  0.869873, Time  0.413609
2021-09-23 09:50:43.529926 : Epoch  9, Batch    283, Loss  0.859952, Average Loss  0.869855, Time  0.413506
2021-09-23 09:50:48.479724 : Epoch  9, Batch    284, Loss  0.873995, Average Loss  0.869929, Time  0.414209
2021-09-23 09:50:53.428124 : Epoch  9, Batch    285, Loss  0.871718, Average Loss  0.869947, Time  0.413728
2021-09-23 09:50:58.362888 : Epoch  9, Batch    286, Loss  0.870207, Average Loss  0.869953, Time  0.414057
2021-09-23 09:51:03.315966 : Epoch  9, Batch    287, Loss  0.855969, Average Loss  0.869956, Time  0.414464
2021-09-23 09:51:08.307742 : Epoch  9, Batch    288, Loss  0.872298, Average Loss  0.870012, Time  0.454690
2021-09-23 09:51:13.260851 : Epoch  9, Batch    289, Loss  0.871389, Average Loss  0.869953, Time  0.412987
2021-09-23 09:51:18.226981 : Epoch  9, Batch    290, Loss  0.877203, Average Loss  0.869929, Time  0.413817
2021-09-23 09:51:23.183735 : Epoch  9, Batch    291, Loss  0.873322, Average Loss  0.869925, Time  0.413480
2021-09-23 09:51:28.135000 : Epoch  9, Batch    292, Loss  0.849231, Average Loss  0.869775, Time  0.413397
2021-09-23 09:51:33.114845 : Epoch  9, Batch    293, Loss  0.872352, Average Loss  0.869796, Time  0.423374
2021-09-23 09:51:38.064969 : Epoch  9, Batch    294, Loss  0.879564, Average Loss  0.869883, Time  0.413388
2021-09-23 09:51:43.012732 : Epoch  9, Batch    295, Loss  0.868620, Average Loss  0.869892, Time  0.413032
2021-09-23 09:51:48.033819 : Epoch  9, Batch    296, Loss  0.868869, Average Loss  0.869819, Time  0.415125
2021-09-23 09:51:52.997974 : Epoch  9, Batch    297, Loss  0.864902, Average Loss  0.869839, Time  0.413841
2021-09-23 09:51:58.007035 : Epoch  9, Batch    298, Loss  0.895672, Average Loss  0.869939, Time  0.458912
2021-09-23 09:52:02.953010 : Epoch  9, Batch    299, Loss  0.879400, Average Loss  0.870042, Time  0.415591
2021-09-23 09:52:07.958895 : Epoch  9, Batch    300, Loss  0.851458, Average Loss  0.869961, Time  0.423021
2021-09-23 09:52:12.905847 : Epoch  9, Batch    301, Loss  0.880227, Average Loss  0.870003, Time  0.413108
2021-09-23 09:52:17.874752 : Epoch  9, Batch    302, Loss  0.853710, Average Loss  0.869915, Time  0.414176
2021-09-23 09:52:22.842781 : Epoch  9, Batch    303, Loss  0.869571, Average Loss  0.869951, Time  0.414145
2021-09-23 09:52:27.790844 : Epoch  9, Batch    304, Loss  0.890769, Average Loss  0.870081, Time  0.414126
2021-09-23 09:52:32.752867 : Epoch  9, Batch    305, Loss  0.856923, Average Loss  0.869999, Time  0.413727
2021-09-23 09:52:37.708956 : Epoch  9, Batch    306, Loss  0.860328, Average Loss  0.869879, Time  0.412736
2021-09-23 09:52:42.712712 : Epoch  9, Batch    307, Loss  0.862304, Average Loss  0.869803, Time  0.459662
2021-09-23 09:52:47.660875 : Epoch  9, Batch    308, Loss  0.873926, Average Loss  0.869827, Time  0.413327
2021-09-23 09:52:52.603718 : Epoch  9, Batch    309, Loss  0.867658, Average Loss  0.869711, Time  0.412781
2021-09-23 09:52:57.548891 : Epoch  9, Batch    310, Loss  0.860981, Average Loss  0.869641, Time  0.413847
2021-09-23 09:53:02.497973 : Epoch  9, Batch    311, Loss  0.865755, Average Loss  0.869670, Time  0.413677
2021-09-23 09:53:07.429759 : Epoch  9, Batch    312, Loss  0.869394, Average Loss  0.869675, Time  0.413733
2021-09-23 09:53:12.383814 : Epoch  9, Batch    313, Loss  0.867204, Average Loss  0.869714, Time  0.414144
2021-09-23 09:53:17.326045 : Epoch  9, Batch    314, Loss  0.867040, Average Loss  0.869782, Time  0.413563
2021-09-23 09:53:22.296893 : Epoch  9, Batch    315, Loss  0.844993, Average Loss  0.869606, Time  0.413083
2021-09-23 09:53:27.246717 : Epoch  9, Batch    316, Loss  0.880967, Average Loss  0.869688, Time  0.412801
2021-09-23 09:53:32.246767 : Epoch  9, Batch    317, Loss  0.860285, Average Loss  0.869684, Time  0.459210
2021-09-23 09:53:37.194888 : Epoch  9, Batch    318, Loss  0.876812, Average Loss  0.869675, Time  0.412740
2021-09-23 09:53:42.158899 : Epoch  9, Batch    319, Loss  0.874632, Average Loss  0.869667, Time  0.420650
2021-09-23 09:53:47.108806 : Epoch  9, Batch    320, Loss  0.861883, Average Loss  0.869534, Time  0.413037
2021-09-23 09:53:52.055711 : Epoch  9, Batch    321, Loss  0.866462, Average Loss  0.869534, Time  0.412747
2021-09-23 09:53:57.022737 : Epoch  9, Batch    322, Loss  0.858118, Average Loss  0.869399, Time  0.414215
2021-09-23 09:54:01.962762 : Epoch  9, Batch    323, Loss  0.876999, Average Loss  0.869412, Time  0.413098
2021-09-23 09:54:06.913057 : Epoch  9, Batch    324, Loss  0.861197, Average Loss  0.869338, Time  0.413687
2021-09-23 09:54:11.856719 : Epoch  9, Batch    325, Loss  0.869472, Average Loss  0.869367, Time  0.415016
2021-09-23 09:54:16.853027 : Epoch  9, Batch    326, Loss  0.874702, Average Loss  0.869342, Time  0.449010
2021-09-23 09:54:21.810000 : Epoch  9, Batch    327, Loss  0.861286, Average Loss  0.869346, Time  0.412890
2021-09-23 09:54:26.787832 : Epoch  9, Batch    328, Loss  0.862315, Average Loss  0.869227, Time  0.413825
2021-09-23 09:54:31.740930 : Epoch  9, Batch    329, Loss  0.864602, Average Loss  0.869225, Time  0.412821
2021-09-23 09:54:36.679010 : Epoch  9, Batch    330, Loss  0.865094, Average Loss  0.869148, Time  0.412896
2021-09-23 09:54:41.635756 : Epoch  9, Batch    331, Loss  0.854881, Average Loss  0.869113, Time  0.413109
2021-09-23 09:54:46.587869 : Epoch  9, Batch    332, Loss  0.856495, Average Loss  0.869077, Time  0.412915
2021-09-23 09:54:51.537117 : Epoch  9, Batch    333, Loss  0.877904, Average Loss  0.869126, Time  0.413182
2021-09-23 09:54:56.487791 : Epoch  9, Batch    334, Loss  0.876463, Average Loss  0.869121, Time  0.412856
2021-09-23 09:55:01.490716 : Epoch  9, Batch    335, Loss  0.874845, Average Loss  0.869203, Time  0.459654
2021-09-23 09:55:06.465956 : Epoch  9, Batch    336, Loss  0.866838, Average Loss  0.869210, Time  0.413057
2021-09-23 09:55:11.417819 : Epoch  9, Batch    337, Loss  0.872478, Average Loss  0.869254, Time  0.415496
2021-09-23 09:55:16.372729 : Epoch  9, Batch    338, Loss  0.876002, Average Loss  0.869217, Time  0.418127
2021-09-23 09:55:21.311731 : Epoch  9, Batch    339, Loss  0.879244, Average Loss  0.869286, Time  0.413816
2021-09-23 09:55:26.272952 : Epoch  9, Batch    340, Loss  0.850101, Average Loss  0.869217, Time  0.413023
2021-09-23 09:55:31.219694 : Epoch  9, Batch    341, Loss  0.864237, Average Loss  0.869172, Time  0.412753
2021-09-23 09:55:36.172703 : Epoch  9, Batch    342, Loss  0.869494, Average Loss  0.869252, Time  0.412812
2021-09-23 09:55:41.113913 : Epoch  9, Batch    343, Loss  0.877534, Average Loss  0.869357, Time  0.413123
2021-09-23 09:55:46.060953 : Epoch  9, Batch    344, Loss  0.867547, Average Loss  0.869388, Time  0.413183
2021-09-23 09:55:51.035908 : Epoch  9, Batch    345, Loss  0.881460, Average Loss  0.869375, Time  0.455591
2021-09-23 09:55:54.709004 : Epoch  9, Batch    346, Loss  0.867941, Average Loss  0.869300, Time  0.317298
2021-09-23 09:55:59.657747 : Epoch  9, Batch    347, Loss  0.877993, Average Loss  0.869329, Time  0.413051
2021-09-23 09:56:04.600741 : Epoch  9, Batch    348, Loss  0.864496, Average Loss  0.869288, Time  0.413954
2021-09-23 09:56:09.559733 : Epoch  9, Batch    349, Loss  0.860638, Average Loss  0.869262, Time  0.413084
2021-09-23 09:56:14.502889 : Epoch  9, Batch    350, Loss  0.870265, Average Loss  0.869318, Time  0.413699
2021-09-23 09:56:19.446884 : Epoch  9, Batch    351, Loss  0.859060, Average Loss  0.869219, Time  0.412825
2021-09-23 09:56:24.399033 : Epoch  9, Batch    352, Loss  0.869926, Average Loss  0.869176, Time  0.414037
2021-09-23 09:56:29.344002 : Epoch  9, Batch    353, Loss  0.881000, Average Loss  0.869191, Time  0.412848
2021-09-23 09:56:34.284892 : Epoch  9, Batch    354, Loss  0.867900, Average Loss  0.869177, Time  0.413013
2021-09-23 09:56:39.275894 : Epoch  9, Batch    355, Loss  0.875611, Average Loss  0.869302, Time  0.450292
2021-09-23 09:56:44.210977 : Epoch  9, Batch    356, Loss  0.878516, Average Loss  0.869292, Time  0.412869
2021-09-23 09:56:49.153815 : Epoch  9, Batch    357, Loss  0.881321, Average Loss  0.869287, Time  0.412985
2021-09-23 09:56:54.096195 : Epoch  9, Batch    358, Loss  0.862935, Average Loss  0.869293, Time  0.412739
2021-09-23 09:56:59.043924 : Epoch  9, Batch    359, Loss  0.861299, Average Loss  0.869253, Time  0.412846
2021-09-23 09:57:03.984010 : Epoch  9, Batch    360, Loss  0.864428, Average Loss  0.869235, Time  0.413267
2021-09-23 09:57:08.936972 : Epoch  9, Batch    361, Loss  0.862625, Average Loss  0.869201, Time  0.413816
2021-09-23 09:57:13.879947 : Epoch  9, Batch    362, Loss  0.862842, Average Loss  0.869169, Time  0.413275
2021-09-23 09:57:18.828745 : Epoch  9, Batch    363, Loss  0.873791, Average Loss  0.869191, Time  0.413879
2021-09-23 09:57:23.789935 : Epoch  9, Batch    364, Loss  0.881931, Average Loss  0.869196, Time  0.431939
2021-09-23 09:57:28.739912 : Epoch  9, Batch    365, Loss  0.854024, Average Loss  0.869049, Time  0.413302
2021-09-23 09:57:33.703739 : Epoch  9, Batch    366, Loss  0.881834, Average Loss  0.869071, Time  0.413138
2021-09-23 09:57:38.654768 : Epoch  9, Batch    367, Loss  0.865163, Average Loss  0.869026, Time  0.412735
2021-09-23 09:57:43.601924 : Epoch  9, Batch    368, Loss  0.863621, Average Loss  0.868960, Time  0.413032
2021-09-23 09:57:48.544774 : Epoch  9, Batch    369, Loss  0.868461, Average Loss  0.868867, Time  0.412596
2021-09-23 09:57:53.485146 : Epoch  9, Batch    370, Loss  0.864255, Average Loss  0.868846, Time  0.413026
2021-09-23 09:57:58.424876 : Epoch  9, Batch    371, Loss  0.875431, Average Loss  0.868888, Time  0.412959
2021-09-23 09:58:03.361545 : Epoch  9, Batch    372, Loss  0.867046, Average Loss  0.868872, Time  0.413461
2021-09-23 09:58:08.375696 : Epoch  9, Batch    373, Loss  0.862817, Average Loss  0.868864, Time  0.473884
2021-09-23 09:58:13.332913 : Epoch  9, Batch    374, Loss  0.851704, Average Loss  0.868750, Time  0.421026
2021-09-23 09:58:18.293911 : Epoch  9, Batch    375, Loss  0.879972, Average Loss  0.868811, Time  0.413921
2021-09-23 09:58:23.235787 : Epoch  9, Batch    376, Loss  0.857428, Average Loss  0.868735, Time  0.413278
2021-09-23 10:02:19.253711 : CheckPoint: Validation Loss  0.00015267, Best Loss  0.00014540
2021-09-23 10:02:24.197782 : Epoch  9, Batch    377, Loss  0.846364, Average Loss  0.868642, Time  0.414850
2021-09-23 10:02:29.142812 : Epoch  9, Batch    378, Loss  0.889825, Average Loss  0.868711, Time  0.413003
2021-09-23 10:02:34.095825 : Epoch  9, Batch    379, Loss  0.859915, Average Loss  0.868671, Time  0.412633
2021-09-23 10:02:39.045904 : Epoch  9, Batch    380, Loss  0.871916, Average Loss  0.868671, Time  0.413037
2021-09-23 10:02:43.986900 : Epoch  9, Batch    381, Loss  0.879973, Average Loss  0.868688, Time  0.412787
2021-09-23 10:02:48.975572 : Epoch  9, Batch    382, Loss  0.864852, Average Loss  0.868648, Time  0.457946
2021-09-23 10:02:53.912915 : Epoch  9, Batch    383, Loss  0.876536, Average Loss  0.868597, Time  0.413265
2021-09-23 10:02:58.863856 : Epoch  9, Batch    384, Loss  0.872240, Average Loss  0.868589, Time  0.412951
2021-09-23 10:03:03.814977 : Epoch  9, Batch    385, Loss  0.869773, Average Loss  0.868657, Time  0.413813
2021-09-23 10:03:08.760019 : Epoch  9, Batch    386, Loss  0.881021, Average Loss  0.868635, Time  0.414037
2021-09-23 10:03:13.744861 : Epoch  9, Batch    387, Loss  0.874008, Average Loss  0.868658, Time  0.413011
2021-09-23 10:03:18.700773 : Epoch  9, Batch    388, Loss  0.865104, Average Loss  0.868617, Time  0.413938
2021-09-23 10:03:23.655720 : Epoch  9, Batch    389, Loss  0.856789, Average Loss  0.868513, Time  0.413006
2021-09-23 10:03:28.610759 : Epoch  9, Batch    390, Loss  0.878145, Average Loss  0.868533, Time  0.413392
2021-09-23 10:03:33.604743 : Epoch  9, Batch    391, Loss  0.853509, Average Loss  0.868497, Time  0.464046
2021-09-23 10:03:38.568989 : Epoch  9, Batch    392, Loss  0.866922, Average Loss  0.868463, Time  0.419669
2021-09-23 10:03:43.508913 : Epoch  9, Batch    393, Loss  0.867480, Average Loss  0.868440, Time  0.412931
2021-09-23 10:03:48.473730 : Epoch  9, Batch    394, Loss  0.882453, Average Loss  0.868575, Time  0.413060
2021-09-23 10:03:53.419980 : Epoch  9, Batch    395, Loss  0.873817, Average Loss  0.868580, Time  0.412958
2021-09-23 10:03:58.366960 : Epoch  9, Batch    396, Loss  0.878893, Average Loss  0.868686, Time  0.413338
2021-09-23 10:04:03.319718 : Epoch  9, Batch    397, Loss  0.869616, Average Loss  0.868644, Time  0.413984
2021-09-23 10:04:08.268724 : Epoch  9, Batch    398, Loss  0.869144, Average Loss  0.868713, Time  0.413640
2021-09-23 10:04:13.202983 : Epoch  9, Batch    399, Loss  0.865973, Average Loss  0.868647, Time  0.413479
2021-09-23 10:04:18.145855 : Epoch  9, Batch    400, Loss  0.874865, Average Loss  0.868641, Time  0.413298
2021-09-23 10:04:23.144739 : Epoch  9, Batch    401, Loss  0.859705, Average Loss  0.868712, Time  0.471338
2021-09-23 10:04:28.096928 : Epoch  9, Batch    402, Loss  0.869473, Average Loss  0.868756, Time  0.415208
2021-09-23 10:04:33.045705 : Epoch  9, Batch    403, Loss  0.857463, Average Loss  0.868691, Time  0.413177
2021-09-23 10:04:37.985793 : Epoch  9, Batch    404, Loss  0.875586, Average Loss  0.868725, Time  0.412749
2021-09-23 10:04:42.922904 : Epoch  9, Batch    405, Loss  0.878338, Average Loss  0.868681, Time  0.412620
2021-09-23 10:04:47.861743 : Epoch  9, Batch    406, Loss  0.868384, Average Loss  0.868591, Time  0.413870
2021-09-23 10:04:52.804759 : Epoch  9, Batch    407, Loss  0.866825, Average Loss  0.868554, Time  0.412858
2021-09-23 10:04:57.736935 : Epoch  9, Batch    408, Loss  0.871935, Average Loss  0.868569, Time  0.413694
2021-09-23 10:05:02.666923 : Epoch  9, Batch    409, Loss  0.879382, Average Loss  0.868664, Time  0.412851
2021-09-23 10:05:07.647851 : Epoch  9, Batch    410, Loss  0.864878, Average Loss  0.868591, Time  0.458798
2021-09-23 10:05:12.590788 : Epoch  9, Batch    411, Loss  0.889848, Average Loss  0.868723, Time  0.413406
2021-09-23 10:05:17.528049 : Epoch  9, Batch    412, Loss  0.868308, Average Loss  0.868723, Time  0.413233
2021-09-23 10:05:22.461928 : Epoch  9, Batch    413, Loss  0.881251, Average Loss  0.868797, Time  0.413132
2021-09-23 10:05:27.398951 : Epoch  9, Batch    414, Loss  0.864306, Average Loss  0.868793, Time  0.413126
2021-09-23 10:05:32.333756 : Epoch  9, Batch    415, Loss  0.849876, Average Loss  0.868680, Time  0.413094
2021-09-23 10:05:37.282824 : Epoch  9, Batch    416, Loss  0.874061, Average Loss  0.868646, Time  0.415953
2021-09-23 10:05:42.222754 : Epoch  9, Batch    417, Loss  0.860245, Average Loss  0.868626, Time  0.412737
2021-09-23 10:05:47.166096 : Epoch  9, Batch    418, Loss  0.862213, Average Loss  0.868587, Time  0.433407
2021-09-23 10:05:52.099728 : Epoch  9, Batch    419, Loss  0.855615, Average Loss  0.868578, Time  0.413026
2021-09-23 10:05:57.094986 : Epoch  9, Batch    420, Loss  0.870439, Average Loss  0.868612, Time  0.455804
2021-09-23 10:06:02.032742 : Epoch  9, Batch    421, Loss  0.870634, Average Loss  0.868653, Time  0.412667
2021-09-23 10:06:06.970921 : Epoch  9, Batch    422, Loss  0.867852, Average Loss  0.868720, Time  0.414115
2021-09-23 10:06:11.917902 : Epoch  9, Batch    423, Loss  0.862121, Average Loss  0.868620, Time  0.414240
2021-09-23 10:06:16.857968 : Epoch  9, Batch    424, Loss  0.869546, Average Loss  0.868621, Time  0.413308
2021-09-23 10:06:21.799739 : Epoch  9, Batch    425, Loss  0.870029, Average Loss  0.868641, Time  0.413643
2021-09-23 10:06:26.731740 : Epoch  9, Batch    426, Loss  0.876722, Average Loss  0.868616, Time  0.413084
2021-09-23 10:06:31.687710 : Epoch  9, Batch    427, Loss  0.856856, Average Loss  0.868601, Time  0.413185
2021-09-23 10:06:36.631799 : Epoch  9, Batch    428, Loss  0.882529, Average Loss  0.868643, Time  0.413180
2021-09-23 10:06:41.617219 : Epoch  9, Batch    429, Loss  0.880539, Average Loss  0.868703, Time  0.459953
2021-09-23 10:06:46.565053 : Epoch  9, Batch    430, Loss  0.864787, Average Loss  0.868607, Time  0.413265
2021-09-23 10:06:51.508840 : Epoch  9, Batch    431, Loss  0.881704, Average Loss  0.868663, Time  0.412655
2021-09-23 10:06:56.455074 : Epoch  9, Batch    432, Loss  0.866069, Average Loss  0.868647, Time  0.412984
2021-09-23 10:07:01.405745 : Epoch  9, Batch    433, Loss  0.873474, Average Loss  0.868689, Time  0.413145
2021-09-23 10:07:06.357002 : Epoch  9, Batch    434, Loss  0.851766, Average Loss  0.868539, Time  0.412849
2021-09-23 10:07:11.303712 : Epoch  9, Batch    435, Loss  0.865507, Average Loss  0.868470, Time  0.413310
2021-09-23 10:07:16.252715 : Epoch  9, Batch    436, Loss  0.881238, Average Loss  0.868567, Time  0.414300
2021-09-23 10:07:21.195967 : Epoch  9, Batch    437, Loss  0.865476, Average Loss  0.868537, Time  0.413523
2021-09-23 10:07:26.154904 : Epoch  9, Batch    438, Loss  0.868493, Average Loss  0.868535, Time  0.413576
2021-09-23 10:07:31.154694 : Epoch  9, Batch    439, Loss  0.852222, Average Loss  0.868429, Time  0.464003
2021-09-23 10:07:36.102788 : Epoch  9, Batch    440, Loss  0.863183, Average Loss  0.868458, Time  0.414187
2021-09-23 10:07:41.043840 : Epoch  9, Batch    441, Loss  0.868116, Average Loss  0.868478, Time  0.413794
2021-09-23 10:07:45.983741 : Epoch  9, Batch    442, Loss  0.865717, Average Loss  0.868478, Time  0.413618
2021-09-23 10:07:50.922735 : Epoch  9, Batch    443, Loss  0.872658, Average Loss  0.868569, Time  0.413279
2021-09-23 10:07:55.911732 : Epoch  9, Batch    444, Loss  0.858515, Average Loss  0.868542, Time  0.413032
2021-09-23 10:08:00.902735 : Epoch  9, Batch    445, Loss  0.860271, Average Loss  0.868486, Time  0.413381
2021-09-23 10:08:05.842237 : Epoch  9, Batch    446, Loss  0.867042, Average Loss  0.868469, Time  0.412910
2021-09-23 10:08:10.865896 : Epoch  9, Batch    447, Loss  0.868476, Average Loss  0.868465, Time  0.413400
2021-09-23 10:08:15.853368 : Epoch  9, Batch    448, Loss  0.884335, Average Loss  0.868577, Time  0.457355
2021-09-23 10:08:20.794551 : Epoch  9, Batch    449, Loss  0.866951, Average Loss  0.868518, Time  0.414414
2021-09-23 10:08:25.743947 : Epoch  9, Batch    450, Loss  0.875376, Average Loss  0.868545, Time  0.414105
2021-09-23 10:08:30.680750 : Epoch  9, Batch    451, Loss  0.861857, Average Loss  0.868517, Time  0.413509
2021-09-23 10:08:35.640718 : Epoch  9, Batch    452, Loss  0.865341, Average Loss  0.868507, Time  0.414274
2021-09-23 10:08:40.581878 : Epoch  9, Batch    453, Loss  0.869703, Average Loss  0.868552, Time  0.413337
2021-09-23 10:08:45.521770 : Epoch  9, Batch    454, Loss  0.877960, Average Loss  0.868602, Time  0.413331
2021-09-23 10:08:50.473964 : Epoch  9, Batch    455, Loss  0.890021, Average Loss  0.868699, Time  0.413352
2021-09-23 10:08:55.412736 : Epoch  9, Batch    456, Loss  0.870541, Average Loss  0.868654, Time  0.413322
2021-09-23 10:09:00.365696 : Epoch  9, Batch    457, Loss  0.873402, Average Loss  0.868740, Time  0.413094
2021-09-23 10:09:05.354959 : Epoch  9, Batch    458, Loss  0.858715, Average Loss  0.868711, Time  0.465547
2021-09-23 10:09:10.313851 : Epoch  9, Batch    459, Loss  0.879732, Average Loss  0.868741, Time  0.420693
2021-09-23 10:09:15.253122 : Epoch  9, Batch    460, Loss  0.854318, Average Loss  0.868702, Time  0.413198
2021-09-23 10:09:20.220080 : Epoch  9, Batch    461, Loss  0.861627, Average Loss  0.868684, Time  0.414824
2021-09-23 10:09:25.159369 : Epoch  9, Batch    462, Loss  0.890196, Average Loss  0.868797, Time  0.413622
2021-09-23 10:09:30.115957 : Epoch  9, Batch    463, Loss  0.873251, Average Loss  0.868857, Time  0.413697
2021-09-23 10:09:35.065778 : Epoch  9, Batch    464, Loss  0.864480, Average Loss  0.868904, Time  0.413830
2021-09-23 10:09:40.016748 : Epoch  9, Batch    465, Loss  0.862174, Average Loss  0.868866, Time  0.413254
2021-09-23 10:09:44.975890 : Epoch  9, Batch    466, Loss  0.867452, Average Loss  0.868886, Time  0.413721
2021-09-23 10:09:49.917793 : Epoch  9, Batch    467, Loss  0.873880, Average Loss  0.868903, Time  0.413083
2021-09-23 10:09:54.912135 : Epoch  9, Batch    468, Loss  0.867871, Average Loss  0.868883, Time  0.462272
2021-09-23 10:09:59.850213 : Epoch  9, Batch    469, Loss  0.843120, Average Loss  0.868741, Time  0.413333
2021-09-23 10:10:04.799742 : Epoch  9, Batch    470, Loss  0.876229, Average Loss  0.868809, Time  0.413779
2021-09-23 10:10:09.795724 : Epoch  9, Batch    471, Loss  0.870970, Average Loss  0.868795, Time  0.413499
2021-09-23 10:10:14.749750 : Epoch  9, Batch    472, Loss  0.865656, Average Loss  0.868753, Time  0.413569
2021-09-23 10:10:19.702955 : Epoch  9, Batch    473, Loss  0.880002, Average Loss  0.868795, Time  0.413526
2021-09-23 10:10:24.662958 : Epoch  9, Batch    474, Loss  0.875794, Average Loss  0.868811, Time  0.414622
2021-09-23 10:10:29.610885 : Epoch  9, Batch    475, Loss  0.877091, Average Loss  0.868912, Time  0.413565
2021-09-23 10:10:34.556064 : Epoch  9, Batch    476, Loss  0.853180, Average Loss  0.868739, Time  0.414311
2021-09-23 10:14:30.677724 : CheckPoint: Validation Loss  0.00015183, Best Loss  0.00014540
2021-09-23 10:14:35.642116 : Epoch  9, Batch    477, Loss  0.869901, Average Loss  0.868713, Time  0.434931
2021-09-23 10:14:40.592008 : Epoch  9, Batch    478, Loss  0.863020, Average Loss  0.868714, Time  0.413243
2021-09-23 10:14:45.540980 : Epoch  9, Batch    479, Loss  0.875198, Average Loss  0.868763, Time  0.412991
2021-09-23 10:14:50.486032 : Epoch  9, Batch    480, Loss  0.869829, Average Loss  0.868751, Time  0.413421
2021-09-23 10:14:55.425166 : Epoch  9, Batch    481, Loss  0.863609, Average Loss  0.868736, Time  0.413135
2021-09-23 10:15:00.370001 : Epoch  9, Batch    482, Loss  0.859766, Average Loss  0.868724, Time  0.413548
2021-09-23 10:15:05.331764 : Epoch  9, Batch    483, Loss  0.876444, Average Loss  0.868807, Time  0.413020
2021-09-23 10:15:10.297032 : Epoch  9, Batch    484, Loss  0.863645, Average Loss  0.868755, Time  0.413053
2021-09-23 10:15:15.263869 : Epoch  9, Batch    485, Loss  0.881332, Average Loss  0.868803, Time  0.413599
2021-09-23 10:15:20.245268 : Epoch  9, Batch    486, Loss  0.863342, Average Loss  0.868769, Time  0.434517
2021-09-23 10:15:25.192196 : Epoch  9, Batch    487, Loss  0.863403, Average Loss  0.868806, Time  0.414281
2021-09-23 10:15:30.140319 : Epoch  9, Batch    488, Loss  0.872742, Average Loss  0.868808, Time  0.413644
2021-09-23 10:15:35.096802 : Epoch  9, Batch    489, Loss  0.866808, Average Loss  0.868785, Time  0.414427
2021-09-23 10:15:40.054989 : Epoch  9, Batch    490, Loss  0.871927, Average Loss  0.868759, Time  0.413533
2021-09-23 10:15:45.009709 : Epoch  9, Batch    491, Loss  0.880072, Average Loss  0.868793, Time  0.413185
2021-09-23 10:15:49.946057 : Epoch  9, Batch    492, Loss  0.868555, Average Loss  0.868889, Time  0.412876
2021-09-23 10:15:54.905923 : Epoch  9, Batch    493, Loss  0.864561, Average Loss  0.868850, Time  0.413404
2021-09-23 10:15:59.856971 : Epoch  9, Batch    494, Loss  0.868493, Average Loss  0.868795, Time  0.413423
2021-09-23 10:16:04.851774 : Epoch  9, Batch    495, Loss  0.872910, Average Loss  0.868817, Time  0.462171
2021-09-23 10:16:09.794898 : Epoch  9, Batch    496, Loss  0.862179, Average Loss  0.868783, Time  0.413239
2021-09-23 10:16:14.738974 : Epoch  9, Batch    497, Loss  0.869471, Average Loss  0.868806, Time  0.413641
2021-09-23 10:16:19.683846 : Epoch  9, Batch    498, Loss  0.881941, Average Loss  0.868737, Time  0.414874
2021-09-23 10:16:24.624989 : Epoch  9, Batch    499, Loss  0.872630, Average Loss  0.868703, Time  0.413236
2021-09-23 10:16:29.563087 : Epoch  9, Batch    500, Loss  0.875661, Average Loss  0.868824, Time  0.414528
2021-09-23 10:16:34.497726 : Epoch  9, Batch    501, Loss  0.857521, Average Loss  0.868711, Time  0.413224
2021-09-23 10:16:39.458841 : Epoch  9, Batch    502, Loss  0.872268, Average Loss  0.868804, Time  0.413762
2021-09-23 10:16:44.410961 : Epoch  9, Batch    503, Loss  0.869453, Average Loss  0.868803, Time  0.413431
2021-09-23 10:16:49.357903 : Epoch  9, Batch    504, Loss  0.859432, Average Loss  0.868646, Time  0.413208
2021-09-23 10:16:54.349744 : Epoch  9, Batch    505, Loss  0.869869, Average Loss  0.868711, Time  0.463308
2021-09-23 10:16:59.294836 : Epoch  9, Batch    506, Loss  0.882565, Average Loss  0.868822, Time  0.415435
2021-09-23 10:17:04.232933 : Epoch  9, Batch    507, Loss  0.875032, Average Loss  0.868886, Time  0.413078
2021-09-23 10:17:09.176860 : Epoch  9, Batch    508, Loss  0.878688, Average Loss  0.868910, Time  0.413340
2021-09-23 10:17:14.110957 : Epoch  9, Batch    509, Loss  0.877394, Average Loss  0.868958, Time  0.412951
2021-09-23 10:17:19.051833 : Epoch  9, Batch    510, Loss  0.864150, Average Loss  0.868974, Time  0.413608
2021-09-23 10:17:24.014717 : Epoch  9, Batch    511, Loss  0.858983, Average Loss  0.868940, Time  0.414350
2021-09-23 10:17:28.970748 : Epoch  9, Batch    512, Loss  0.868850, Average Loss  0.868938, Time  0.413283
2021-09-23 10:17:33.905815 : Epoch  9, Batch    513, Loss  0.870880, Average Loss  0.868956, Time  0.413795
2021-09-23 10:17:38.899870 : Epoch  9, Batch    514, Loss  0.874194, Average Loss  0.868992, Time  0.458475
2021-09-23 10:17:43.848719 : Epoch  9, Batch    515, Loss  0.852498, Average Loss  0.869029, Time  0.413285
2021-09-23 10:17:48.796795 : Epoch  9, Batch    516, Loss  0.865168, Average Loss  0.868950, Time  0.413304
2021-09-23 10:17:53.740084 : Epoch  9, Batch    517, Loss  0.875364, Average Loss  0.869026, Time  0.413104
2021-09-23 10:17:58.706845 : Epoch  9, Batch    518, Loss  0.872584, Average Loss  0.869005, Time  0.413441
2021-09-23 10:18:03.653033 : Epoch  9, Batch    519, Loss  0.856688, Average Loss  0.868915, Time  0.413105
2021-09-23 10:18:08.607206 : Epoch  9, Batch    520, Loss  0.864916, Average Loss  0.868930, Time  0.413554
2021-09-23 10:18:13.557963 : Epoch  9, Batch    521, Loss  0.873494, Average Loss  0.868965, Time  0.412946
2021-09-23 10:18:18.503009 : Epoch  9, Batch    522, Loss  0.858151, Average Loss  0.868965, Time  0.413302
2021-09-23 10:18:23.455436 : Epoch  9, Batch    523, Loss  0.859582, Average Loss  0.868878, Time  0.413804
2021-09-23 10:18:28.443826 : Epoch  9, Batch    524, Loss  0.880089, Average Loss  0.868973, Time  0.461244
2021-09-23 10:18:33.386821 : Epoch  9, Batch    525, Loss  0.883086, Average Loss  0.869041, Time  0.413632
2021-09-23 10:18:38.326739 : Epoch  9, Batch    526, Loss  0.884631, Average Loss  0.869090, Time  0.413468
2021-09-23 10:18:43.267303 : Epoch  9, Batch    527, Loss  0.856985, Average Loss  0.869069, Time  0.415519
2021-09-23 10:18:48.235115 : Epoch  9, Batch    528, Loss  0.869207, Average Loss  0.869103, Time  0.413261
2021-09-23 10:18:53.185948 : Epoch  9, Batch    529, Loss  0.869321, Average Loss  0.869127, Time  0.413472
2021-09-23 10:18:58.129989 : Epoch  9, Batch    530, Loss  0.869052, Average Loss  0.869147, Time  0.413424
2021-09-23 10:19:03.092719 : Epoch  9, Batch    531, Loss  0.868393, Average Loss  0.869214, Time  0.413341
2021-09-23 10:19:08.030207 : Epoch  9, Batch    532, Loss  0.859712, Average Loss  0.869230, Time  0.413313
2021-09-23 10:19:12.979069 : Epoch  9, Batch    533, Loss  0.861189, Average Loss  0.869147, Time  0.413214
2021-09-23 10:19:17.962849 : Epoch  9, Batch    534, Loss  0.877170, Average Loss  0.869150, Time  0.463218
2021-09-23 10:19:22.907081 : Epoch  9, Batch    535, Loss  0.877004, Average Loss  0.869161, Time  0.420342
2021-09-23 10:19:27.878770 : Epoch  9, Batch    536, Loss  0.853579, Average Loss  0.869095, Time  0.413331
2021-09-23 10:19:32.837995 : Epoch  9, Batch    537, Loss  0.867098, Average Loss  0.869068, Time  0.414316
2021-09-23 10:19:37.793798 : Epoch  9, Batch    538, Loss  0.876904, Average Loss  0.869073, Time  0.414332
2021-09-23 10:19:42.738966 : Epoch  9, Batch    539, Loss  0.881537, Average Loss  0.869084, Time  0.415704
2021-09-23 10:19:47.700751 : Epoch  9, Batch    540, Loss  0.850595, Average Loss  0.869086, Time  0.414159
2021-09-23 10:19:52.647802 : Epoch  9, Batch    541, Loss  0.874744, Average Loss  0.869139, Time  0.413775
2021-09-23 10:19:57.588316 : Epoch  9, Batch    542, Loss  0.868826, Average Loss  0.869136, Time  0.412934
2021-09-23 10:20:02.574752 : Epoch  9, Batch    543, Loss  0.875963, Average Loss  0.869128, Time  0.451726
2021-09-23 10:20:07.533926 : Epoch  9, Batch    544, Loss  0.862747, Average Loss  0.869104, Time  0.425912
2021-09-23 10:20:12.479720 : Epoch  9, Batch    545, Loss  0.871753, Average Loss  0.869055, Time  0.413922
2021-09-23 10:20:17.417984 : Epoch  9, Batch    546, Loss  0.868780, Average Loss  0.869059, Time  0.413287
2021-09-23 10:20:22.375875 : Epoch  9, Batch    547, Loss  0.868279, Average Loss  0.869011, Time  0.413334
2021-09-23 10:20:27.335958 : Epoch  9, Batch    548, Loss  0.866706, Average Loss  0.869022, Time  0.413516
2021-09-23 10:20:32.276011 : Epoch  9, Batch    549, Loss  0.881255, Average Loss  0.869125, Time  0.414253
2021-09-23 10:20:37.227930 : Epoch  9, Batch    550, Loss  0.884424, Average Loss  0.869196, Time  0.413543
2021-09-23 10:20:42.174074 : Epoch  9, Batch    551, Loss  0.874075, Average Loss  0.869271, Time  0.414366
2021-09-23 10:20:47.127750 : Epoch  9, Batch    552, Loss  0.870397, Average Loss  0.869273, Time  0.413286
2021-09-23 10:20:52.116822 : Epoch  9, Batch    553, Loss  0.860246, Average Loss  0.869169, Time  0.452893
2021-09-23 10:20:57.062776 : Epoch  9, Batch    554, Loss  0.874220, Average Loss  0.869201, Time  0.413491
2021-09-23 10:21:02.006028 : Epoch  9, Batch    555, Loss  0.874804, Average Loss  0.869197, Time  0.413011
2021-09-23 10:21:07.025068 : Epoch  9, Batch    556, Loss  0.875820, Average Loss  0.869184, Time  0.413711
2021-09-23 10:21:11.969916 : Epoch  9, Batch    557, Loss  0.873535, Average Loss  0.869145, Time  0.413063
2021-09-23 10:21:16.918999 : Epoch  9, Batch    558, Loss  0.867611, Average Loss  0.869168, Time  0.423222
2021-09-23 10:21:21.864782 : Epoch  9, Batch    559, Loss  0.867901, Average Loss  0.869201, Time  0.414292
2021-09-23 10:21:26.814108 : Epoch  9, Batch    560, Loss  0.862465, Average Loss  0.869191, Time  0.413121
2021-09-23 10:21:31.751983 : Epoch  9, Batch    561, Loss  0.863334, Average Loss  0.869195, Time  0.413408
2021-09-23 10:21:36.779913 : Epoch  9, Batch    562, Loss  0.868624, Average Loss  0.869224, Time  0.458606
2021-09-23 10:21:41.749802 : Epoch  9, Batch    563, Loss  0.865681, Average Loss  0.869183, Time  0.432578
2021-09-23 10:21:46.701070 : Epoch  9, Batch    564, Loss  0.878295, Average Loss  0.869165, Time  0.414006
2021-09-23 10:21:51.661961 : Epoch  9, Batch    565, Loss  0.860650, Average Loss  0.869198, Time  0.414363
2021-09-23 10:21:56.618981 : Epoch  9, Batch    566, Loss  0.863795, Average Loss  0.869108, Time  0.413360
2021-09-23 10:22:01.565744 : Epoch  9, Batch    567, Loss  0.863087, Average Loss  0.869097, Time  0.413198
2021-09-23 10:22:06.523913 : Epoch  9, Batch    568, Loss  0.866745, Average Loss  0.869113, Time  0.413270
2021-09-23 10:22:11.508803 : Epoch  9, Batch    569, Loss  0.861763, Average Loss  0.869080, Time  0.413427
2021-09-23 10:22:16.449881 : Epoch  9, Batch    570, Loss  0.866841, Average Loss  0.869093, Time  0.413386
2021-09-23 10:22:21.446735 : Epoch  9, Batch    571, Loss  0.861114, Average Loss  0.869021, Time  0.462715
2021-09-23 10:22:26.394832 : Epoch  9, Batch    572, Loss  0.871759, Average Loss  0.869045, Time  0.413101
2021-09-23 10:22:31.339824 : Epoch  9, Batch    573, Loss  0.870709, Average Loss  0.869084, Time  0.413279
2021-09-23 10:22:36.299629 : Epoch  9, Batch    574, Loss  0.867330, Average Loss  0.869162, Time  0.414409
2021-09-23 10:22:41.240005 : Epoch  9, Batch    575, Loss  0.874510, Average Loss  0.869135, Time  0.413423
2021-09-23 10:22:54.767079 : Epoch  9, Batch    576, Loss  0.862585, Average Loss  0.869161, Time  0.417616
2021-09-23 10:26:49.936729 : CheckPoint: Validation Loss  0.00015356, Best Loss  0.00014540
2021-09-23 10:26:54.900814 : Epoch  9, Batch    577, Loss  0.869257, Average Loss  0.869275, Time  0.414924
2021-09-23 10:26:59.894722 : Epoch  9, Batch    578, Loss  0.865527, Average Loss  0.869154, Time  0.448487
2021-09-23 10:27:04.839972 : Epoch  9, Batch    579, Loss  0.882257, Average Loss  0.869265, Time  0.412694
2021-09-23 10:27:09.799920 : Epoch  9, Batch    580, Loss  0.869170, Average Loss  0.869252, Time  0.413285
2021-09-23 10:27:14.767989 : Epoch  9, Batch    581, Loss  0.862038, Average Loss  0.869162, Time  0.413145
2021-09-23 10:27:19.718445 : Epoch  9, Batch    582, Loss  0.876400, Average Loss  0.869220, Time  0.413720
2021-09-23 10:27:24.675058 : Epoch  9, Batch    583, Loss  0.854806, Average Loss  0.869111, Time  0.413033
2021-09-23 10:27:29.634897 : Epoch  9, Batch    584, Loss  0.854742, Average Loss  0.869023, Time  0.414513
2021-09-23 10:27:34.590779 : Epoch  9, Batch    585, Loss  0.859687, Average Loss  0.868973, Time  0.413658
2021-09-23 10:27:39.540040 : Epoch  9, Batch    586, Loss  0.870283, Average Loss  0.868919, Time  0.413571
2021-09-23 10:27:44.542876 : Epoch  9, Batch    587, Loss  0.867195, Average Loss  0.868885, Time  0.455105
2021-09-23 10:27:49.508865 : Epoch  9, Batch    588, Loss  0.870912, Average Loss  0.868914, Time  0.413717
2021-09-23 10:27:54.468068 : Epoch  9, Batch    589, Loss  0.872071, Average Loss  0.868991, Time  0.413919
2021-09-23 10:27:59.432123 : Epoch  9, Batch    590, Loss  0.881261, Average Loss  0.869006, Time  0.413225
2021-09-23 10:28:04.393722 : Epoch  9, Batch    591, Loss  0.877253, Average Loss  0.869125, Time  0.413123
2021-09-23 10:28:09.355049 : Epoch  9, Batch    592, Loss  0.864633, Average Loss  0.869114, Time  0.413423
2021-09-23 10:28:14.320970 : Epoch  9, Batch    593, Loss  0.883673, Average Loss  0.869195, Time  0.413129
2021-09-23 10:28:19.263933 : Epoch  9, Batch    594, Loss  0.861098, Average Loss  0.869088, Time  0.412998
2021-09-23 10:28:24.213719 : Epoch  9, Batch    595, Loss  0.874492, Average Loss  0.869091, Time  0.412974
2021-09-23 10:28:29.177020 : Epoch  9, Batch    596, Loss  0.869676, Average Loss  0.869045, Time  0.413162
2021-09-23 10:28:34.195735 : Epoch  9, Batch    597, Loss  0.882491, Average Loss  0.869109, Time  0.465319
2021-09-23 10:28:39.157228 : Epoch  9, Batch    598, Loss  0.870189, Average Loss  0.869115, Time  0.421742
2021-09-23 10:28:44.125937 : Epoch  9, Batch    599, Loss  0.885268, Average Loss  0.869211, Time  0.413676
2021-09-23 10:28:49.085858 : Epoch  9, Batch    600, Loss  0.858881, Average Loss  0.869131, Time  0.413271
2021-09-23 10:28:54.045036 : Epoch  9, Batch    601, Loss  0.876942, Average Loss  0.869217, Time  0.413083
2021-09-23 10:28:59.015734 : Epoch  9, Batch    602, Loss  0.856342, Average Loss  0.869152, Time  0.413534
2021-09-23 10:29:03.985991 : Epoch  9, Batch    603, Loss  0.857328, Average Loss  0.869151, Time  0.413966
2021-09-23 10:29:08.948987 : Epoch  9, Batch    604, Loss  0.870607, Average Loss  0.869126, Time  0.414126
2021-09-23 10:29:13.900977 : Epoch  9, Batch    605, Loss  0.870782, Average Loss  0.869088, Time  0.413408
2021-09-23 10:29:18.913751 : Epoch  9, Batch    606, Loss  0.859107, Average Loss  0.869042, Time  0.464802
2021-09-23 10:29:23.867117 : Epoch  9, Batch    607, Loss  0.879781, Average Loss  0.869107, Time  0.419975
2021-09-23 10:29:28.838101 : Epoch  9, Batch    608, Loss  0.868058, Average Loss  0.869087, Time  0.419564
2021-09-23 10:29:33.801029 : Epoch  9, Batch    609, Loss  0.869540, Average Loss  0.869038, Time  0.413075
2021-09-23 10:29:38.785976 : Epoch  9, Batch    610, Loss  0.866416, Average Loss  0.869046, Time  0.415675
2021-09-23 10:29:43.751794 : Epoch  9, Batch    611, Loss  0.878089, Average Loss  0.868987, Time  0.414113
2021-09-23 10:29:48.723735 : Epoch  9, Batch    612, Loss  0.868344, Average Loss  0.868987, Time  0.413303
2021-09-23 10:29:53.702044 : Epoch  9, Batch    613, Loss  0.864829, Average Loss  0.868905, Time  0.413960
2021-09-23 10:29:58.670899 : Epoch  9, Batch    614, Loss  0.876201, Average Loss  0.868965, Time  0.415232
2021-09-23 10:30:03.686823 : Epoch  9, Batch    615, Loss  0.855262, Average Loss  0.868992, Time  0.455417
2021-09-23 10:30:08.656950 : Epoch  9, Batch    616, Loss  0.873084, Average Loss  0.868987, Time  0.413800
2021-09-23 10:30:13.633842 : Epoch  9, Batch    617, Loss  0.860262, Average Loss  0.868987, Time  0.414742
2021-09-23 10:30:18.591724 : Epoch  9, Batch    618, Loss  0.861539, Average Loss  0.868983, Time  0.413322
2021-09-23 10:30:23.558162 : Epoch  9, Batch    619, Loss  0.863399, Average Loss  0.869022, Time  0.413084
2021-09-23 10:30:28.518001 : Epoch  9, Batch    620, Loss  0.854842, Average Loss  0.868944, Time  0.413566
2021-09-23 10:30:33.490004 : Epoch  9, Batch    621, Loss  0.869119, Average Loss  0.868937, Time  0.413538
2021-09-23 10:30:38.455731 : Epoch  9, Batch    622, Loss  0.871684, Average Loss  0.868956, Time  0.414486
2021-09-23 10:30:43.419117 : Epoch  9, Batch    623, Loss  0.859106, Average Loss  0.868941, Time  0.414192
2021-09-23 10:30:48.377133 : Epoch  9, Batch    624, Loss  0.872798, Average Loss  0.868957, Time  0.414099
2021-09-23 10:30:53.398018 : Epoch  9, Batch    625, Loss  0.850073, Average Loss  0.868857, Time  0.455725
2021-09-23 10:30:58.340960 : Epoch  9, Batch    626, Loss  0.869947, Average Loss  0.868823, Time  0.413584
2021-09-23 10:31:03.306052 : Epoch  9, Batch    627, Loss  0.869652, Average Loss  0.868887, Time  0.413098
2021-09-23 10:31:08.265341 : Epoch  9, Batch    628, Loss  0.874809, Average Loss  0.868849, Time  0.413509
2021-09-23 10:31:13.237976 : Epoch  9, Batch    629, Loss  0.859566, Average Loss  0.868744, Time  0.413111
2021-09-23 10:31:18.190005 : Epoch  9, Batch    630, Loss  0.886608, Average Loss  0.868853, Time  0.413665
2021-09-23 10:31:23.153843 : Epoch  9, Batch    631, Loss  0.864861, Average Loss  0.868769, Time  0.419328
2021-09-23 10:31:28.119993 : Epoch  9, Batch    632, Loss  0.863534, Average Loss  0.868756, Time  0.412988
2021-09-23 10:31:33.072056 : Epoch  9, Batch    633, Loss  0.869510, Average Loss  0.868736, Time  0.413392
2021-09-23 10:31:38.065850 : Epoch  9, Batch    634, Loss  0.854751, Average Loss  0.868751, Time  0.461030
2021-09-23 10:31:43.050733 : Epoch  9, Batch    635, Loss  0.854354, Average Loss  0.868695, Time  0.413293
2021-09-23 10:31:48.061987 : Epoch  9, Batch    636, Loss  0.878798, Average Loss  0.868683, Time  0.414377
2021-09-23 10:31:53.019898 : Epoch  9, Batch    637, Loss  0.872504, Average Loss  0.868718, Time  0.413454
2021-09-23 10:31:57.990890 : Epoch  9, Batch    638, Loss  0.878239, Average Loss  0.868767, Time  0.414121
2021-09-23 10:32:02.954162 : Epoch  9, Batch    639, Loss  0.877391, Average Loss  0.868893, Time  0.413366
2021-09-23 10:32:07.917996 : Epoch  9, Batch    640, Loss  0.859531, Average Loss  0.868875, Time  0.413253
2021-09-23 10:32:12.884265 : Epoch  9, Batch    641, Loss  0.874887, Average Loss  0.868909, Time  0.413606
2021-09-23 10:32:17.942020 : Epoch  9, Batch    642, Loss  0.866702, Average Loss  0.868914, Time  0.413231
2021-09-23 10:32:22.943867 : Epoch  9, Batch    643, Loss  0.869240, Average Loss  0.868896, Time  0.458122
2021-09-23 10:32:27.899793 : Epoch  9, Batch    644, Loss  0.862349, Average Loss  0.868916, Time  0.413393
2021-09-23 10:32:32.853761 : Epoch  9, Batch    645, Loss  0.879115, Average Loss  0.869010, Time  0.413151
2021-09-23 10:32:37.794002 : Epoch  9, Batch    646, Loss  0.857154, Average Loss  0.868960, Time  0.413291
2021-09-23 10:32:42.759128 : Epoch  9, Batch    647, Loss  0.862833, Average Loss  0.868932, Time  0.414761
2021-09-23 10:32:47.735118 : Epoch  9, Batch    648, Loss  0.876310, Average Loss  0.868892, Time  0.413964
2021-09-23 10:32:52.694809 : Epoch  9, Batch    649, Loss  0.875336, Average Loss  0.868934, Time  0.414128
2021-09-23 10:32:57.643735 : Epoch  9, Batch    650, Loss  0.878401, Average Loss  0.868949, Time  0.414138
2021-09-23 10:33:02.600455 : Epoch  9, Batch    651, Loss  0.865427, Average Loss  0.868967, Time  0.412552
2021-09-23 10:33:07.602784 : Epoch  9, Batch    652, Loss  0.863338, Average Loss  0.868957, Time  0.467863
2021-09-23 10:33:12.573821 : Epoch  9, Batch    653, Loss  0.874917, Average Loss  0.868983, Time  0.419378
2021-09-23 10:33:17.527768 : Epoch  9, Batch    654, Loss  0.864477, Average Loss  0.868916, Time  0.413106
2021-09-23 10:33:22.488012 : Epoch  9, Batch    655, Loss  0.863601, Average Loss  0.868783, Time  0.412732
2021-09-23 10:33:27.448832 : Epoch  9, Batch    656, Loss  0.868922, Average Loss  0.868775, Time  0.412986
2021-09-23 10:33:32.409055 : Epoch  9, Batch    657, Loss  0.860136, Average Loss  0.868709, Time  0.414199
2021-09-23 10:33:37.364714 : Epoch  9, Batch    658, Loss  0.858966, Average Loss  0.868710, Time  0.413405
2021-09-23 10:33:42.331038 : Epoch  9, Batch    659, Loss  0.872188, Average Loss  0.868673, Time  0.414364
2021-09-23 10:33:47.294999 : Epoch  9, Batch    660, Loss  0.869338, Average Loss  0.868748, Time  0.413118
2021-09-23 10:33:52.250073 : Epoch  9, Batch    661, Loss  0.873863, Average Loss  0.868809, Time  0.414054
2021-09-23 10:33:57.386765 : Epoch  9, Batch    662, Loss  0.895631, Average Loss  0.868836, Time  0.456741
2021-09-23 10:34:02.352810 : Epoch  9, Batch    663, Loss  0.861639, Average Loss  0.868778, Time  0.413943
2021-09-23 10:34:07.351732 : Epoch  9, Batch    664, Loss  0.856643, Average Loss  0.868739, Time  0.413476
2021-09-23 10:34:12.331745 : Epoch  9, Batch    665, Loss  0.869554, Average Loss  0.868776, Time  0.413485
2021-09-23 10:34:17.278269 : Epoch  9, Batch    666, Loss  0.862124, Average Loss  0.868749, Time  0.413421
2021-09-23 10:34:22.244716 : Epoch  9, Batch    667, Loss  0.877154, Average Loss  0.868765, Time  0.413398
2021-09-23 10:34:27.208797 : Epoch  9, Batch    668, Loss  0.871167, Average Loss  0.868782, Time  0.413746
2021-09-23 10:34:32.172081 : Epoch  9, Batch    669, Loss  0.876485, Average Loss  0.868949, Time  0.413141
2021-09-23 10:34:37.170130 : Epoch  9, Batch    670, Loss  0.860059, Average Loss  0.868868, Time  0.414292
2021-09-23 10:34:42.192756 : Epoch  9, Batch    671, Loss  0.878790, Average Loss  0.868907, Time  0.460027
2021-09-23 10:34:47.162367 : Epoch  9, Batch    672, Loss  0.866641, Average Loss  0.868912, Time  0.414253
2021-09-23 10:34:52.131925 : Epoch  9, Batch    673, Loss  0.864691, Average Loss  0.868835, Time  0.413879
2021-09-23 10:34:57.089044 : Epoch  9, Batch    674, Loss  0.881125, Average Loss  0.868862, Time  0.413843
2021-09-23 10:35:02.048439 : Epoch  9, Batch    675, Loss  0.868043, Average Loss  0.868817, Time  0.413234
2021-09-23 10:35:07.019953 : Epoch  9, Batch    676, Loss  0.875000, Average Loss  0.868926, Time  0.413346
2021-09-23 10:39:03.549726 : CheckPoint: Validation Loss  0.00015046, Best Loss  0.00014540
2021-09-23 10:39:08.504049 : Epoch  9, Batch    677, Loss  0.852183, Average Loss  0.868837, Time  0.414512
2021-09-23 10:39:13.445082 : Epoch  9, Batch    678, Loss  0.868745, Average Loss  0.868866, Time  0.412954
2021-09-23 10:39:18.414016 : Epoch  9, Batch    679, Loss  0.873455, Average Loss  0.868857, Time  0.413323
2021-09-23 10:39:23.416827 : Epoch  9, Batch    680, Loss  0.870791, Average Loss  0.868862, Time  0.465306
2021-09-23 10:39:28.375034 : Epoch  9, Batch    681, Loss  0.877694, Average Loss  0.868932, Time  0.420333
2021-09-23 10:39:33.342755 : Epoch  9, Batch    682, Loss  0.871279, Average Loss  0.868990, Time  0.413450
2021-09-23 10:39:38.318025 : Epoch  9, Batch    683, Loss  0.881512, Average Loss  0.869015, Time  0.414103
2021-09-23 10:39:43.289117 : Epoch  9, Batch    684, Loss  0.873423, Average Loss  0.869064, Time  0.413580
2021-09-23 10:39:48.248004 : Epoch  9, Batch    685, Loss  0.872028, Average Loss  0.869018, Time  0.413955
2021-09-23 10:39:53.214148 : Epoch  9, Batch    686, Loss  0.873415, Average Loss  0.869068, Time  0.414442
2021-09-23 10:39:58.173970 : Epoch  9, Batch    687, Loss  0.872191, Average Loss  0.869112, Time  0.413345
2021-09-23 10:40:03.142055 : Epoch  9, Batch    688, Loss  0.881771, Average Loss  0.869157, Time  0.413791
2021-09-23 10:40:08.155879 : Epoch  9, Batch    689, Loss  0.866428, Average Loss  0.869155, Time  0.461262
2021-09-23 10:40:13.130779 : Epoch  9, Batch    690, Loss  0.872751, Average Loss  0.869159, Time  0.413301
2021-09-23 10:40:18.083986 : Epoch  9, Batch    691, Loss  0.872724, Average Loss  0.869123, Time  0.413133
2021-09-23 10:40:23.037034 : Epoch  9, Batch    692, Loss  0.868069, Average Loss  0.869120, Time  0.413212
2021-09-23 10:40:27.987810 : Epoch  9, Batch    693, Loss  0.882399, Average Loss  0.869209, Time  0.413786
2021-09-23 10:40:32.940014 : Epoch  9, Batch    694, Loss  0.863087, Average Loss  0.869182, Time  0.413003
2021-09-23 10:40:37.893903 : Epoch  9, Batch    695, Loss  0.865078, Average Loss  0.869143, Time  0.414493
2021-09-23 10:40:42.852000 : Epoch  9, Batch    696, Loss  0.875139, Average Loss  0.869208, Time  0.413707
2021-09-23 10:40:47.812068 : Epoch  9, Batch    697, Loss  0.855828, Average Loss  0.869140, Time  0.413911
2021-09-23 10:40:52.825000 : Epoch  9, Batch    698, Loss  0.861501, Average Loss  0.869038, Time  0.462495
2021-09-23 10:40:57.789982 : Epoch  9, Batch    699, Loss  0.871310, Average Loss  0.869031, Time  0.413753
2021-09-23 10:41:02.758103 : Epoch  9, Batch    700, Loss  0.872202, Average Loss  0.869014, Time  0.413631
2021-09-23 10:41:07.714945 : Epoch  9, Batch    701, Loss  0.877748, Average Loss  0.869115, Time  0.413246
2021-09-23 10:41:12.668319 : Epoch  9, Batch    702, Loss  0.849760, Average Loss  0.869002, Time  0.413025
2021-09-23 10:41:17.626758 : Epoch  9, Batch    703, Loss  0.863380, Average Loss  0.868972, Time  0.413787
2021-09-23 10:41:22.591741 : Epoch  9, Batch    704, Loss  0.873907, Average Loss  0.869044, Time  0.412991
2021-09-23 10:41:27.539030 : Epoch  9, Batch    705, Loss  0.870410, Average Loss  0.869047, Time  0.413807
2021-09-23 10:41:32.488716 : Epoch  9, Batch    706, Loss  0.876825, Average Loss  0.869018, Time  0.413480
2021-09-23 10:41:37.534787 : Epoch  9, Batch    707, Loss  0.867668, Average Loss  0.868981, Time  0.424301
2021-09-23 10:41:42.542777 : Epoch  9, Batch    708, Loss  0.868242, Average Loss  0.868929, Time  0.462249
2021-09-23 10:41:47.506721 : Epoch  9, Batch    709, Loss  0.858409, Average Loss  0.868834, Time  0.413378
2021-09-23 10:41:52.457988 : Epoch  9, Batch    710, Loss  0.864169, Average Loss  0.868834, Time  0.413712
2021-09-23 10:41:57.413719 : Epoch  9, Batch    711, Loss  0.868823, Average Loss  0.868884, Time  0.413476
2021-09-23 10:42:02.398009 : Epoch  9, Batch    712, Loss  0.868055, Average Loss  0.868880, Time  0.414392
2021-09-23 10:42:07.350723 : Epoch  9, Batch    713, Loss  0.885679, Average Loss  0.868954, Time  0.413538
2021-09-23 10:42:12.312942 : Epoch  9, Batch    714, Loss  0.866261, Average Loss  0.868914, Time  0.413253
2021-09-23 10:42:17.277807 : Epoch  9, Batch    715, Loss  0.879191, Average Loss  0.869047, Time  0.413344
2021-09-23 10:42:22.224530 : Epoch  9, Batch    716, Loss  0.862334, Average Loss  0.869033, Time  0.413324
2021-09-23 10:42:27.223929 : Epoch  9, Batch    717, Loss  0.877564, Average Loss  0.869044, Time  0.462697
2021-09-23 10:42:32.186954 : Epoch  9, Batch    718, Loss  0.872242, Average Loss  0.869043, Time  0.415918
2021-09-23 10:42:37.152701 : Epoch  9, Batch    719, Loss  0.871456, Average Loss  0.869116, Time  0.413543
2021-09-23 10:42:42.113968 : Epoch  9, Batch    720, Loss  0.869492, Average Loss  0.869139, Time  0.413755
2021-09-23 10:42:47.063710 : Epoch  9, Batch    721, Loss  0.877019, Average Loss  0.869157, Time  0.414254
2021-09-23 10:42:52.015991 : Epoch  9, Batch    722, Loss  0.864704, Average Loss  0.869190, Time  0.413711
2021-09-23 10:42:56.975067 : Epoch  9, Batch    723, Loss  0.880556, Average Loss  0.869295, Time  0.413889
2021-09-23 10:43:01.946780 : Epoch  9, Batch    724, Loss  0.867457, Average Loss  0.869231, Time  0.414781
2021-09-23 10:43:06.910932 : Epoch  9, Batch    725, Loss  0.865025, Average Loss  0.869141, Time  0.413473
2021-09-23 10:43:11.925617 : Epoch  9, Batch    726, Loss  0.876920, Average Loss  0.869103, Time  0.463338
2021-09-23 10:43:16.885955 : Epoch  9, Batch    727, Loss  0.860454, Average Loss  0.869120, Time  0.415627
2021-09-23 10:43:21.839813 : Epoch  9, Batch    728, Loss  0.857485, Average Loss  0.869061, Time  0.413317
2021-09-23 10:43:26.798482 : Epoch  9, Batch    729, Loss  0.855516, Average Loss  0.868992, Time  0.413085
2021-09-23 10:43:31.759087 : Epoch  9, Batch    730, Loss  0.857238, Average Loss  0.868933, Time  0.413132
2021-09-23 10:43:36.718757 : Epoch  9, Batch    731, Loss  0.868077, Average Loss  0.868932, Time  0.413857
2021-09-23 10:43:41.667085 : Epoch  9, Batch    732, Loss  0.853708, Average Loss  0.868902, Time  0.413042
2021-09-23 10:43:46.638861 : Epoch  9, Batch    733, Loss  0.875690, Average Loss  0.868974, Time  0.414704
2021-09-23 10:43:51.591552 : Epoch  9, Batch    734, Loss  0.889580, Average Loss  0.869036, Time  0.412975
2021-09-23 10:43:56.535018 : Epoch  9, Batch    735, Loss  0.864232, Average Loss  0.868972, Time  0.413924
2021-09-23 10:44:01.527025 : Epoch  9, Batch    736, Loss  0.868519, Average Loss  0.869047, Time  0.432720
2021-09-23 10:44:06.504734 : Epoch  9, Batch    737, Loss  0.861976, Average Loss  0.869021, Time  0.414259
2021-09-23 10:44:11.478085 : Epoch  9, Batch    738, Loss  0.870552, Average Loss  0.868990, Time  0.413441
2021-09-23 10:44:16.431949 : Epoch  9, Batch    739, Loss  0.868351, Average Loss  0.868924, Time  0.413637
2021-09-23 10:44:21.396104 : Epoch  9, Batch    740, Loss  0.886224, Average Loss  0.869102, Time  0.414006
2021-09-23 10:44:26.355832 : Epoch  9, Batch    741, Loss  0.864672, Average Loss  0.869051, Time  0.413238
2021-09-23 10:44:31.317796 : Epoch  9, Batch    742, Loss  0.864566, Average Loss  0.869030, Time  0.413188
2021-09-23 10:44:36.275011 : Epoch  9, Batch    743, Loss  0.854982, Average Loss  0.868925, Time  0.413046
2021-09-23 10:44:41.238191 : Epoch  9, Batch    744, Loss  0.867119, Average Loss  0.868947, Time  0.413181
2021-09-23 10:44:46.236718 : Epoch  9, Batch    745, Loss  0.866088, Average Loss  0.868919, Time  0.449087
2021-09-23 10:44:51.205859 : Epoch  9, Batch    746, Loss  0.880202, Average Loss  0.868976, Time  0.414362
2021-09-23 10:44:56.195968 : Epoch  9, Batch    747, Loss  0.881653, Average Loss  0.869043, Time  0.423658
2021-09-23 10:45:01.158782 : Epoch  9, Batch    748, Loss  0.873008, Average Loss  0.869074, Time  0.413873
2021-09-23 10:45:06.145733 : Epoch  9, Batch    749, Loss  0.869613, Average Loss  0.869016, Time  0.413560
2021-09-23 10:45:11.116778 : Epoch  9, Batch    750, Loss  0.884763, Average Loss  0.869018, Time  0.413316
2021-09-23 10:45:16.072926 : Epoch  9, Batch    751, Loss  0.862435, Average Loss  0.868960, Time  0.413332
2021-09-23 10:45:21.028952 : Epoch  9, Batch    752, Loss  0.873928, Average Loss  0.868977, Time  0.413427
2021-09-23 10:45:25.986724 : Epoch  9, Batch    753, Loss  0.864620, Average Loss  0.868999, Time  0.413019
2021-09-23 10:45:31.016010 : Epoch  9, Batch    754, Loss  0.878550, Average Loss  0.869021, Time  0.485073
2021-09-23 10:45:35.985974 : Epoch  9, Batch    755, Loss  0.887992, Average Loss  0.869087, Time  0.419895
2021-09-23 10:45:40.937911 : Epoch  9, Batch    756, Loss  0.876228, Average Loss  0.869089, Time  0.413712
2021-09-23 10:45:45.895721 : Epoch  9, Batch    757, Loss  0.867782, Average Loss  0.869060, Time  0.413183
2021-09-23 10:45:50.870811 : Epoch  9, Batch    758, Loss  0.866084, Average Loss  0.869052, Time  0.413142
2021-09-23 10:45:55.837728 : Epoch  9, Batch    759, Loss  0.879939, Average Loss  0.869113, Time  0.414678
2021-09-23 10:46:00.805981 : Epoch  9, Batch    760, Loss  0.869512, Average Loss  0.869148, Time  0.413806
2021-09-23 10:46:05.766868 : Epoch  9, Batch    761, Loss  0.857422, Average Loss  0.869118, Time  0.413872
2021-09-23 10:46:10.738920 : Epoch  9, Batch    762, Loss  0.875811, Average Loss  0.869154, Time  0.414304
2021-09-23 10:46:15.748728 : Epoch  9, Batch    763, Loss  0.872525, Average Loss  0.869188, Time  0.454473
2021-09-23 10:46:20.708022 : Epoch  9, Batch    764, Loss  0.856458, Average Loss  0.869079, Time  0.413284
2021-09-23 10:46:25.675921 : Epoch  9, Batch    765, Loss  0.885577, Average Loss  0.869204, Time  0.413133
2021-09-23 10:46:30.641982 : Epoch  9, Batch    766, Loss  0.876963, Average Loss  0.869270, Time  0.414457
2021-09-23 10:46:35.629760 : Epoch  9, Batch    767, Loss  0.869884, Average Loss  0.869304, Time  0.413408
2021-09-23 10:46:40.641867 : Epoch  9, Batch    768, Loss  0.877206, Average Loss  0.869356, Time  0.423974
2021-09-23 10:46:45.603877 : Epoch  9, Batch    769, Loss  0.862255, Average Loss  0.869358, Time  0.414046
2021-09-23 10:46:50.566731 : Epoch  9, Batch    770, Loss  0.870787, Average Loss  0.869378, Time  0.413015
2021-09-23 10:46:55.536873 : Epoch  9, Batch    771, Loss  0.882987, Average Loss  0.869487, Time  0.413867
2021-09-23 10:47:00.507795 : Epoch  9, Batch    772, Loss  0.869103, Average Loss  0.869474, Time  0.414184
2021-09-23 10:47:05.525072 : Epoch  9, Batch    773, Loss  0.883978, Average Loss  0.869541, Time  0.457789
2021-09-23 10:47:10.474966 : Epoch  9, Batch    774, Loss  0.879668, Average Loss  0.869602, Time  0.413897
2021-09-23 10:47:15.445135 : Epoch  9, Batch    775, Loss  0.868190, Average Loss  0.869571, Time  0.425094
2021-09-23 10:47:20.410045 : Epoch  9, Batch    776, Loss  0.877264, Average Loss  0.869644, Time  0.413192
2021-09-23 10:51:16.929235 : CheckPoint: Validation Loss  0.00015079, Best Loss  0.00014540
2021-09-23 10:51:21.891849 : Epoch  9, Batch    777, Loss  0.860159, Average Loss  0.869599, Time  0.414183
2021-09-23 10:51:26.849820 : Epoch  9, Batch    778, Loss  0.873603, Average Loss  0.869639, Time  0.413404
2021-09-23 10:51:31.801009 : Epoch  9, Batch    779, Loss  0.863634, Average Loss  0.869546, Time  0.413204
2021-09-23 10:51:36.740908 : Epoch  9, Batch    780, Loss  0.860382, Average Loss  0.869502, Time  0.413177
2021-09-23 10:51:41.697881 : Epoch  9, Batch    781, Loss  0.867297, Average Loss  0.869528, Time  0.423421
2021-09-23 10:51:46.697015 : Epoch  9, Batch    782, Loss  0.870826, Average Loss  0.869500, Time  0.451088
2021-09-23 10:51:51.671729 : Epoch  9, Batch    783, Loss  0.871014, Average Loss  0.869581, Time  0.414097
2021-09-23 10:51:56.608069 : Epoch  9, Batch    784, Loss  0.865514, Average Loss  0.869635, Time  0.414044
2021-09-23 10:52:01.553894 : Epoch  9, Batch    785, Loss  0.860697, Average Loss  0.869640, Time  0.413585
2021-09-23 10:52:06.507775 : Epoch  9, Batch    786, Loss  0.864551, Average Loss  0.869612, Time  0.413947
2021-09-23 10:52:11.452854 : Epoch  9, Batch    787, Loss  0.881710, Average Loss  0.869684, Time  0.413200
2021-09-23 10:52:16.400890 : Epoch  9, Batch    788, Loss  0.872930, Average Loss  0.869694, Time  0.413348
2021-09-23 10:52:21.344723 : Epoch  9, Batch    789, Loss  0.870313, Average Loss  0.869685, Time  0.413020
2021-09-23 10:52:26.284906 : Epoch  9, Batch    790, Loss  0.864483, Average Loss  0.869602, Time  0.413507
2021-09-23 10:52:31.245001 : Epoch  9, Batch    791, Loss  0.857512, Average Loss  0.869503, Time  0.431895
2021-09-23 10:52:36.181734 : Epoch  9, Batch    792, Loss  0.869515, Average Loss  0.869527, Time  0.413444
2021-09-23 10:52:41.236836 : Epoch  9, Batch    793, Loss  0.854346, Average Loss  0.869381, Time  0.413602
2021-09-23 10:52:46.177862 : Epoch  9, Batch    794, Loss  0.873109, Average Loss  0.869441, Time  0.413218
2021-09-23 10:52:51.139713 : Epoch  9, Batch    795, Loss  0.864522, Average Loss  0.869391, Time  0.414743
2021-09-23 10:52:56.081756 : Epoch  9, Batch    796, Loss  0.883719, Average Loss  0.869461, Time  0.413316
2021-09-23 10:53:01.042965 : Epoch  9, Batch    797, Loss  0.878910, Average Loss  0.869443, Time  0.413560
2021-09-23 10:53:05.981934 : Epoch  9, Batch    798, Loss  0.865723, Average Loss  0.869421, Time  0.413819
2021-09-23 10:53:10.927871 : Epoch  9, Batch    799, Loss  0.868536, Average Loss  0.869337, Time  0.413252
2021-09-23 10:53:15.915012 : Epoch  9, Batch    800, Loss  0.868802, Average Loss  0.869387, Time  0.459923
2021-09-23 10:53:20.850971 : Epoch  9, Batch    801, Loss  0.870483, Average Loss  0.869354, Time  0.413047
2021-09-23 10:53:25.806752 : Epoch  9, Batch    802, Loss  0.869081, Average Loss  0.869418, Time  0.413464
2021-09-23 10:53:30.741588 : Epoch  9, Batch    803, Loss  0.877461, Average Loss  0.869519, Time  0.412889
2021-09-23 10:53:35.700794 : Epoch  9, Batch    804, Loss  0.892947, Average Loss  0.869631, Time  0.413008
2021-09-23 10:53:40.639950 : Epoch  9, Batch    805, Loss  0.852015, Average Loss  0.869537, Time  0.413534
2021-09-23 10:53:45.568871 : Epoch  9, Batch    806, Loss  0.879749, Average Loss  0.869640, Time  0.413216
2021-09-23 10:53:50.534701 : Epoch  9, Batch    807, Loss  0.874134, Average Loss  0.869612, Time  0.413851
2021-09-23 10:53:55.502781 : Epoch  9, Batch    808, Loss  0.865422, Average Loss  0.869599, Time  0.414484
2021-09-23 10:54:00.475040 : Epoch  9, Batch    809, Loss  0.861001, Average Loss  0.869556, Time  0.413671
2021-09-23 10:54:05.437936 : Epoch  9, Batch    810, Loss  0.877331, Average Loss  0.869610, Time  0.429433
2021-09-23 10:54:10.390915 : Epoch  9, Batch    811, Loss  0.870009, Average Loss  0.869570, Time  0.413840
2021-09-23 10:54:15.389242 : Epoch  9, Batch    812, Loss  0.872804, Average Loss  0.869592, Time  0.413355
2021-09-23 10:54:20.389799 : Epoch  9, Batch    813, Loss  0.865104, Average Loss  0.869594, Time  0.413479
2021-09-23 10:54:25.337762 : Epoch  9, Batch    814, Loss  0.876988, Average Loss  0.869598, Time  0.413130
2021-09-23 10:54:30.283759 : Epoch  9, Batch    815, Loss  0.850905, Average Loss  0.869576, Time  0.413550
2021-09-23 10:54:35.227728 : Epoch  9, Batch    816, Loss  0.863891, Average Loss  0.869530, Time  0.412889
2021-09-23 10:54:40.167721 : Epoch  9, Batch    817, Loss  0.867678, Average Loss  0.869567, Time  0.413027
2021-09-23 10:54:45.110873 : Epoch  9, Batch    818, Loss  0.863451, Average Loss  0.869577, Time  0.413261
2021-09-23 10:54:50.091743 : Epoch  9, Batch    819, Loss  0.853339, Average Loss  0.869526, Time  0.457984
2021-09-23 10:54:55.043716 : Epoch  9, Batch    820, Loss  0.885867, Average Loss  0.869681, Time  0.414696
2021-09-23 10:54:59.995770 : Epoch  9, Batch    821, Loss  0.856341, Average Loss  0.869617, Time  0.412934
2021-09-23 10:55:04.945932 : Epoch  9, Batch    822, Loss  0.865968, Average Loss  0.869589, Time  0.416241
2021-09-23 10:55:09.897951 : Epoch  9, Batch    823, Loss  0.861048, Average Loss  0.869599, Time  0.413721
2021-09-23 10:55:14.851252 : Epoch  9, Batch    824, Loss  0.857241, Average Loss  0.869521, Time  0.414234
2021-09-23 10:55:19.810872 : Epoch  9, Batch    825, Loss  0.869904, Average Loss  0.869620, Time  0.413709
2021-09-23 10:55:24.763232 : Epoch  9, Batch    826, Loss  0.885095, Average Loss  0.869696, Time  0.412928
2021-09-23 10:55:29.697550 : Epoch  9, Batch    827, Loss  0.855660, Average Loss  0.869626, Time  0.413266
2021-09-23 10:55:34.687786 : Epoch  9, Batch    828, Loss  0.869599, Average Loss  0.869600, Time  0.464670
2021-09-23 10:55:39.640969 : Epoch  9, Batch    829, Loss  0.877818, Average Loss  0.869691, Time  0.420283
2021-09-23 10:55:44.582989 : Epoch  9, Batch    830, Loss  0.881961, Average Loss  0.869668, Time  0.413571
2021-09-23 10:55:49.568901 : Epoch  9, Batch    831, Loss  0.880174, Average Loss  0.869744, Time  0.413674
2021-09-23 10:55:54.511757 : Epoch  9, Batch    832, Loss  0.887879, Average Loss  0.869866, Time  0.413342
2021-09-23 10:55:59.460878 : Epoch  9, Batch    833, Loss  0.879907, Average Loss  0.869918, Time  0.414145
2021-09-23 10:56:04.407968 : Epoch  9, Batch    834, Loss  0.865970, Average Loss  0.869974, Time  0.413620
2021-09-23 10:56:09.351772 : Epoch  9, Batch    835, Loss  0.884776, Average Loss  0.870126, Time  0.414204
2021-09-23 10:56:14.292135 : Epoch  9, Batch    836, Loss  0.874163, Average Loss  0.870103, Time  0.413500
2021-09-23 10:56:19.231744 : Epoch  9, Batch    837, Loss  0.881809, Average Loss  0.870150, Time  0.413489
2021-09-23 10:56:24.419071 : Epoch  9, Batch    838, Loss  0.887689, Average Loss  0.870197, Time  0.459031
2021-09-23 10:56:29.397998 : Epoch  9, Batch    839, Loss  0.868061, Average Loss  0.870150, Time  0.413129
2021-09-23 10:56:34.341899 : Epoch  9, Batch    840, Loss  0.861000, Average Loss  0.870157, Time  0.413003
2021-09-23 10:56:39.296727 : Epoch  9, Batch    841, Loss  0.868864, Average Loss  0.870127, Time  0.413546
2021-09-23 10:56:44.222928 : Epoch  9, Batch    842, Loss  0.869151, Average Loss  0.870140, Time  0.413446
2021-09-23 10:56:49.163940 : Epoch  9, Batch    843, Loss  0.849600, Average Loss  0.870041, Time  0.413588
2021-09-23 10:56:54.109043 : Epoch  9, Batch    844, Loss  0.865283, Average Loss  0.870056, Time  0.413010
2021-09-23 10:56:59.057860 : Epoch  9, Batch    845, Loss  0.881182, Average Loss  0.870066, Time  0.413152
2021-09-23 10:57:04.007811 : Epoch  9, Batch    846, Loss  0.882261, Average Loss  0.870192, Time  0.414517
2021-09-23 10:57:08.987946 : Epoch  9, Batch    847, Loss  0.879759, Average Loss  0.870277, Time  0.441320
2021-09-23 10:57:13.944992 : Epoch  9, Batch    848, Loss  0.863623, Average Loss  0.870213, Time  0.414335
2021-09-23 10:57:18.882718 : Epoch  9, Batch    849, Loss  0.872812, Average Loss  0.870201, Time  0.413274
2021-09-23 10:57:23.823624 : Epoch  9, Batch    850, Loss  0.878498, Average Loss  0.870201, Time  0.413951
2021-09-23 10:57:28.774012 : Epoch  9, Batch    851, Loss  0.866561, Average Loss  0.870207, Time  0.413428
2021-09-23 10:57:33.726041 : Epoch  9, Batch    852, Loss  0.858565, Average Loss  0.870183, Time  0.413188
2021-09-23 10:57:38.738948 : Epoch  9, Batch    853, Loss  0.867194, Average Loss  0.870144, Time  0.413154
2021-09-23 10:57:43.847720 : Epoch  9, Batch    854, Loss  0.870500, Average Loss  0.870174, Time  0.413253
2021-09-23 10:57:48.792440 : Epoch  9, Batch    855, Loss  0.871126, Average Loss  0.870212, Time  0.413559
2021-09-23 10:57:53.792727 : Epoch  9, Batch    856, Loss  0.857569, Average Loss  0.870155, Time  0.459545
2021-09-23 10:57:58.740777 : Epoch  9, Batch    857, Loss  0.859275, Average Loss  0.870151, Time  0.415013
2021-09-23 10:58:03.686157 : Epoch  9, Batch    858, Loss  0.853580, Average Loss  0.870124, Time  0.413060
2021-09-23 10:58:08.642737 : Epoch  9, Batch    859, Loss  0.873567, Average Loss  0.870131, Time  0.414251
2021-09-23 10:58:13.592141 : Epoch  9, Batch    860, Loss  0.867982, Average Loss  0.870124, Time  0.413636
2021-09-23 10:58:18.544012 : Epoch  9, Batch    861, Loss  0.877859, Average Loss  0.870144, Time  0.413648
2021-09-23 10:58:23.500149 : Epoch  9, Batch    862, Loss  0.863300, Average Loss  0.869982, Time  0.417393
2021-09-23 10:58:28.444949 : Epoch  9, Batch    863, Loss  0.874694, Average Loss  0.870048, Time  0.413370
2021-09-23 10:58:33.380913 : Epoch  9, Batch    864, Loss  0.866735, Average Loss  0.870098, Time  0.413269
2021-09-23 10:58:38.337056 : Epoch  9, Batch    865, Loss  0.871122, Average Loss  0.870106, Time  0.413175
2021-09-23 10:58:43.336987 : Epoch  9, Batch    866, Loss  0.867454, Average Loss  0.870133, Time  0.455457
2021-09-23 10:58:48.284817 : Epoch  9, Batch    867, Loss  0.876704, Average Loss  0.870130, Time  0.413596
2021-09-23 10:58:53.236089 : Epoch  9, Batch    868, Loss  0.866659, Average Loss  0.870108, Time  0.413213
2021-09-23 10:58:58.176055 : Epoch  9, Batch    869, Loss  0.872860, Average Loss  0.870090, Time  0.413516
2021-09-23 10:59:03.118937 : Epoch  9, Batch    870, Loss  0.864038, Average Loss  0.870110, Time  0.413024
2021-09-23 10:59:08.072930 : Epoch  9, Batch    871, Loss  0.857485, Average Loss  0.870003, Time  0.413519
2021-09-23 10:59:13.028093 : Epoch  9, Batch    872, Loss  0.870571, Average Loss  0.870023, Time  0.414465
2021-09-23 10:59:17.978045 : Epoch  9, Batch    873, Loss  0.874654, Average Loss  0.870073, Time  0.413989
2021-09-23 10:59:22.910986 : Epoch  9, Batch    874, Loss  0.857680, Average Loss  0.869955, Time  0.413539
2021-09-23 10:59:27.896776 : Epoch  9, Batch    875, Loss  0.872475, Average Loss  0.869977, Time  0.452171
2021-09-23 10:59:32.846938 : Epoch  9, Batch    876, Loss  0.852467, Average Loss  0.869865, Time  0.413551
2021-09-23 11:03:29.383773 : CheckPoint: Validation Loss  0.00015276, Best Loss  0.00014540
2021-09-23 11:03:34.351874 : Epoch  9, Batch    877, Loss  0.875452, Average Loss  0.869981, Time  0.414394
2021-09-23 11:03:39.313033 : Epoch  9, Batch    878, Loss  0.856828, Average Loss  0.869922, Time  0.413455
2021-09-23 11:03:44.273920 : Epoch  9, Batch    879, Loss  0.871769, Average Loss  0.869913, Time  0.413060
2021-09-23 11:03:49.230963 : Epoch  9, Batch    880, Loss  0.871318, Average Loss  0.869916, Time  0.413225
2021-09-23 11:03:54.181988 : Epoch  9, Batch    881, Loss  0.878068, Average Loss  0.869918, Time  0.413269
2021-09-23 11:03:59.146060 : Epoch  9, Batch    882, Loss  0.879536, Average Loss  0.869959, Time  0.415001
2021-09-23 11:04:04.107779 : Epoch  9, Batch    883, Loss  0.869419, Average Loss  0.869898, Time  0.414010
2021-09-23 11:04:09.102121 : Epoch  9, Batch    884, Loss  0.865327, Average Loss  0.869858, Time  0.450799
2021-09-23 11:04:14.053033 : Epoch  9, Batch    885, Loss  0.859207, Average Loss  0.869794, Time  0.413325
2021-09-23 11:04:19.010032 : Epoch  9, Batch    886, Loss  0.861731, Average Loss  0.869735, Time  0.413546
2021-09-23 11:04:23.980397 : Epoch  9, Batch    887, Loss  0.863399, Average Loss  0.869691, Time  0.413463
2021-09-23 11:04:28.939805 : Epoch  9, Batch    888, Loss  0.881289, Average Loss  0.869689, Time  0.413268
2021-09-23 11:04:33.902987 : Epoch  9, Batch    889, Loss  0.869646, Average Loss  0.869705, Time  0.413615
2021-09-23 11:04:38.859960 : Epoch  9, Batch    890, Loss  0.855741, Average Loss  0.869620, Time  0.413440
2021-09-23 11:04:43.824883 : Epoch  9, Batch    891, Loss  0.874639, Average Loss  0.869630, Time  0.413114
2021-09-23 11:04:48.767097 : Epoch  9, Batch    892, Loss  0.857033, Average Loss  0.869575, Time  0.413248
2021-09-23 11:04:53.713921 : Epoch  9, Batch    893, Loss  0.872061, Average Loss  0.869523, Time  0.413375
2021-09-23 11:04:58.719593 : Epoch  9, Batch    894, Loss  0.879171, Average Loss  0.869603, Time  0.463023
2021-09-23 11:05:03.678078 : Epoch  9, Batch    895, Loss  0.879445, Average Loss  0.869675, Time  0.414398
2021-09-23 11:05:08.648890 : Epoch  9, Batch    896, Loss  0.856132, Average Loss  0.869580, Time  0.413656
2021-09-23 11:05:13.616809 : Epoch  9, Batch    897, Loss  0.871847, Average Loss  0.869660, Time  0.413911
2021-09-23 11:05:18.559746 : Epoch  9, Batch    898, Loss  0.856759, Average Loss  0.869636, Time  0.413399
2021-09-23 11:05:23.522789 : Epoch  9, Batch    899, Loss  0.861309, Average Loss  0.869586, Time  0.413772
2021-09-23 11:05:28.480743 : Epoch  9, Batch    900, Loss  0.869134, Average Loss  0.869571, Time  0.413378
2021-09-23 11:05:33.427080 : Epoch  9, Batch    901, Loss  0.848600, Average Loss  0.869425, Time  0.413844
2021-09-23 11:05:38.392726 : Epoch  9, Batch    902, Loss  0.882786, Average Loss  0.869590, Time  0.413230
2021-09-23 11:05:43.405959 : Epoch  9, Batch    903, Loss  0.883132, Average Loss  0.869689, Time  0.473926
2021-09-23 11:05:48.419857 : Epoch  9, Batch    904, Loss  0.861901, Average Loss  0.869629, Time  0.418420
2021-09-23 11:05:53.373729 : Epoch  9, Batch    905, Loss  0.889097, Average Loss  0.869723, Time  0.413119
2021-09-23 11:05:58.329057 : Epoch  9, Batch    906, Loss  0.859179, Average Loss  0.869634, Time  0.413285
2021-09-23 11:06:03.281977 : Epoch  9, Batch    907, Loss  0.863751, Average Loss  0.869615, Time  0.413028
2021-09-23 11:06:08.236028 : Epoch  9, Batch    908, Loss  0.865715, Average Loss  0.869602, Time  0.415080
2021-09-23 11:06:13.200948 : Epoch  9, Batch    909, Loss  0.872499, Average Loss  0.869673, Time  0.413819
2021-09-23 11:06:18.157801 : Epoch  9, Batch    910, Loss  0.865503, Average Loss  0.869679, Time  0.413923
2021-09-23 11:06:23.105433 : Epoch  9, Batch    911, Loss  0.865445, Average Loss  0.869662, Time  0.413690
2021-09-23 11:06:28.116046 : Epoch  9, Batch    912, Loss  0.874033, Average Loss  0.869692, Time  0.462291
2021-09-23 11:06:33.071951 : Epoch  9, Batch    913, Loss  0.864617, Average Loss  0.869587, Time  0.413741
2021-09-23 11:06:38.036840 : Epoch  9, Batch    914, Loss  0.869348, Average Loss  0.869602, Time  0.413182
2021-09-23 11:06:42.996803 : Epoch  9, Batch    915, Loss  0.877812, Average Loss  0.869596, Time  0.413200
2021-09-23 11:06:47.950045 : Epoch  9, Batch    916, Loss  0.888285, Average Loss  0.869725, Time  0.413532
2021-09-23 11:06:52.907943 : Epoch  9, Batch    917, Loss  0.870896, Average Loss  0.869692, Time  0.413631
2021-09-23 11:06:57.860955 : Epoch  9, Batch    918, Loss  0.870449, Average Loss  0.869683, Time  0.413345
2021-09-23 11:07:02.818893 : Epoch  9, Batch    919, Loss  0.893883, Average Loss  0.869795, Time  0.413588
2021-09-23 11:07:07.766968 : Epoch  9, Batch    920, Loss  0.870695, Average Loss  0.869801, Time  0.413619
2021-09-23 11:07:12.729918 : Epoch  9, Batch    921, Loss  0.874893, Average Loss  0.869791, Time  0.414486
2021-09-23 11:07:17.727865 : Epoch  9, Batch    922, Loss  0.871658, Average Loss  0.869825, Time  0.454074
2021-09-23 11:07:22.713039 : Epoch  9, Batch    923, Loss  0.875767, Average Loss  0.869801, Time  0.413641
2021-09-23 11:07:27.668055 : Epoch  9, Batch    924, Loss  0.864030, Average Loss  0.869784, Time  0.413340
2021-09-23 11:07:32.620835 : Epoch  9, Batch    925, Loss  0.875918, Average Loss  0.869839, Time  0.413219
2021-09-23 11:07:37.570934 : Epoch  9, Batch    926, Loss  0.890578, Average Loss  0.869907, Time  0.413321
2021-09-23 11:07:42.559012 : Epoch  9, Batch    927, Loss  0.859674, Average Loss  0.869903, Time  0.413310
2021-09-23 11:07:47.520716 : Epoch  9, Batch    928, Loss  0.890516, Average Loss  0.870068, Time  0.413460
2021-09-23 11:07:47.561558 : Saving Model after 9-th Epoch.
2021-09-23 11:07:48.276598 : Epoch Finished.
2021-09-23 11:07:57.063133 : Batch Shuffled
2021-09-23 11:08:02.048985 : Epoch 10, Batch      1, Loss  0.868030, Average Loss  0.870131, Time  0.456080
2021-09-23 11:08:06.978687 : Epoch 10, Batch      2, Loss  0.873273, Average Loss  0.870211, Time  0.413111
2021-09-23 11:08:11.923027 : Epoch 10, Batch      3, Loss  0.874322, Average Loss  0.870242, Time  0.413427
2021-09-23 11:08:16.880116 : Epoch 10, Batch      4, Loss  0.853157, Average Loss  0.870239, Time  0.414288
2021-09-23 11:08:21.847761 : Epoch 10, Batch      5, Loss  0.874036, Average Loss  0.870231, Time  0.413616
2021-09-23 11:08:26.801044 : Epoch 10, Batch      6, Loss  0.869981, Average Loss  0.870133, Time  0.413764
2021-09-23 11:08:31.759771 : Epoch 10, Batch      7, Loss  0.873533, Average Loss  0.870180, Time  0.416919
2021-09-23 11:08:36.711915 : Epoch 10, Batch      8, Loss  0.850736, Average Loss  0.870091, Time  0.413504
2021-09-23 11:08:41.659977 : Epoch 10, Batch      9, Loss  0.862813, Average Loss  0.870095, Time  0.413479
2021-09-23 11:08:46.618148 : Epoch 10, Batch     10, Loss  0.873194, Average Loss  0.870108, Time  0.413174
2021-09-23 11:08:51.627230 : Epoch 10, Batch     11, Loss  0.861184, Average Loss  0.870072, Time  0.456764
2021-09-23 11:08:56.601728 : Epoch 10, Batch     12, Loss  0.862483, Average Loss  0.869954, Time  0.413144
2021-09-23 11:09:01.561930 : Epoch 10, Batch     13, Loss  0.879560, Average Loss  0.870028, Time  0.413955
2021-09-23 11:09:06.517707 : Epoch 10, Batch     14, Loss  0.857464, Average Loss  0.869993, Time  0.413612
2021-09-23 11:09:11.470821 : Epoch 10, Batch     15, Loss  0.868710, Average Loss  0.870061, Time  0.413397
2021-09-23 11:09:16.434532 : Epoch 10, Batch     16, Loss  0.869021, Average Loss  0.870071, Time  0.415089
2021-09-23 11:09:21.392760 : Epoch 10, Batch     17, Loss  0.873829, Average Loss  0.870109, Time  0.414183
2021-09-23 11:09:26.369818 : Epoch 10, Batch     18, Loss  0.869055, Average Loss  0.870054, Time  0.414465
2021-09-23 11:09:31.324723 : Epoch 10, Batch     19, Loss  0.888284, Average Loss  0.870087, Time  0.413551
2021-09-23 11:09:36.319771 : Epoch 10, Batch     20, Loss  0.871661, Average Loss  0.870080, Time  0.450174
2021-09-23 11:09:41.262930 : Epoch 10, Batch     21, Loss  0.870769, Average Loss  0.870086, Time  0.413698
2021-09-23 11:09:46.215087 : Epoch 10, Batch     22, Loss  0.886146, Average Loss  0.870093, Time  0.413015
2021-09-23 11:09:51.194952 : Epoch 10, Batch     23, Loss  0.874297, Average Loss  0.870152, Time  0.413333
2021-09-23 11:09:56.157870 : Epoch 10, Batch     24, Loss  0.875345, Average Loss  0.870159, Time  0.413153
2021-09-23 11:10:01.113773 : Epoch 10, Batch     25, Loss  0.858198, Average Loss  0.870127, Time  0.413218
2021-09-23 11:10:06.084760 : Epoch 10, Batch     26, Loss  0.861881, Average Loss  0.870044, Time  0.414634
2021-09-23 11:10:11.037923 : Epoch 10, Batch     27, Loss  0.882290, Average Loss  0.870015, Time  0.413123
2021-09-23 11:10:16.001943 : Epoch 10, Batch     28, Loss  0.867683, Average Loss  0.869972, Time  0.413470
2021-09-23 11:10:21.000904 : Epoch 10, Batch     29, Loss  0.876901, Average Loss  0.870018, Time  0.454794
2021-09-23 11:10:25.949952 : Epoch 10, Batch     30, Loss  0.871601, Average Loss  0.870046, Time  0.413716
2021-09-23 11:10:30.911844 : Epoch 10, Batch     31, Loss  0.866072, Average Loss  0.869976, Time  0.413783
2021-09-23 11:10:35.909011 : Epoch 10, Batch     32, Loss  0.866698, Average Loss  0.869962, Time  0.413434
2021-09-23 11:10:40.865986 : Epoch 10, Batch     33, Loss  0.869381, Average Loss  0.870022, Time  0.413768
2021-09-23 11:10:45.826815 : Epoch 10, Batch     34, Loss  0.854744, Average Loss  0.869917, Time  0.413568
2021-09-23 11:10:50.783007 : Epoch 10, Batch     35, Loss  0.869601, Average Loss  0.869902, Time  0.413340
2021-09-23 11:10:55.748025 : Epoch 10, Batch     36, Loss  0.877841, Average Loss  0.870009, Time  0.413149
2021-09-23 11:11:00.709710 : Epoch 10, Batch     37, Loss  0.875991, Average Loss  0.869961, Time  0.413048
2021-09-23 11:11:05.675083 : Epoch 10, Batch     38, Loss  0.856724, Average Loss  0.869860, Time  0.413005
2021-09-23 11:11:10.651736 : Epoch 10, Batch     39, Loss  0.882659, Average Loss  0.869924, Time  0.460259
2021-09-23 11:11:15.609947 : Epoch 10, Batch     40, Loss  0.876319, Average Loss  0.869919, Time  0.412971
2021-09-23 11:11:20.568010 : Epoch 10, Batch     41, Loss  0.868601, Average Loss  0.869951, Time  0.413379
2021-09-23 11:11:25.505943 : Epoch 10, Batch     42, Loss  0.863626, Average Loss  0.869915, Time  0.414378
2021-09-23 11:11:30.455884 : Epoch 10, Batch     43, Loss  0.872287, Average Loss  0.869862, Time  0.414028
2021-09-23 11:11:35.391009 : Epoch 10, Batch     44, Loss  0.878114, Average Loss  0.869907, Time  0.413371
2021-09-23 11:11:40.362776 : Epoch 10, Batch     45, Loss  0.875900, Average Loss  0.869866, Time  0.414050
2021-09-23 11:11:45.318987 : Epoch 10, Batch     46, Loss  0.866510, Average Loss  0.869801, Time  0.413614
2021-09-23 11:11:50.265675 : Epoch 10, Batch     47, Loss  0.864509, Average Loss  0.869782, Time  0.413356
2021-09-23 11:11:55.268025 : Epoch 10, Batch     48, Loss  0.874298, Average Loss  0.869767, Time  0.466506
2021-09-23 11:15:51.647741 : CheckPoint: Validation Loss  0.00014882, Best Loss  0.00014540
2021-09-23 11:15:56.600712 : Epoch 10, Batch     49, Loss  0.866480, Average Loss  0.869799, Time  0.418561
2021-09-23 11:16:01.558839 : Epoch 10, Batch     50, Loss  0.861997, Average Loss  0.869741, Time  0.413146
2021-09-23 11:16:06.513918 : Epoch 10, Batch     51, Loss  0.869383, Average Loss  0.869770, Time  0.413317
2021-09-23 11:16:11.471737 : Epoch 10, Batch     52, Loss  0.877356, Average Loss  0.869855, Time  0.413038
2021-09-23 11:16:16.432800 : Epoch 10, Batch     53, Loss  0.875024, Average Loss  0.869893, Time  0.414719
2021-09-23 11:16:21.366818 : Epoch 10, Batch     54, Loss  0.877743, Average Loss  0.869928, Time  0.413957
2021-09-23 11:16:26.320754 : Epoch 10, Batch     55, Loss  0.870435, Average Loss  0.869925, Time  0.413266
2021-09-23 11:16:31.279839 : Epoch 10, Batch     56, Loss  0.869682, Average Loss  0.869946, Time  0.414609
2021-09-23 11:16:36.262198 : Epoch 10, Batch     57, Loss  0.871701, Average Loss  0.870001, Time  0.449807
2021-09-23 11:16:41.284346 : Epoch 10, Batch     58, Loss  0.865933, Average Loss  0.870008, Time  0.413874
2021-09-23 11:16:46.234864 : Epoch 10, Batch     59, Loss  0.870784, Average Loss  0.869953, Time  0.412942
2021-09-23 11:16:51.190090 : Epoch 10, Batch     60, Loss  0.874767, Average Loss  0.869962, Time  0.413156
2021-09-23 11:16:56.148744 : Epoch 10, Batch     61, Loss  0.862642, Average Loss  0.869924, Time  0.413352
2021-09-23 11:17:01.136330 : Epoch 10, Batch     62, Loss  0.871224, Average Loss  0.869958, Time  0.412947
2021-09-23 11:17:06.101966 : Epoch 10, Batch     63, Loss  0.865093, Average Loss  0.869995, Time  0.413006
2021-09-23 11:17:11.054180 : Epoch 10, Batch     64, Loss  0.857659, Average Loss  0.869936, Time  0.413486
2021-09-23 11:17:16.075951 : Epoch 10, Batch     65, Loss  0.860149, Average Loss  0.869965, Time  0.414174
2021-09-23 11:17:21.084387 : Epoch 10, Batch     66, Loss  0.870819, Average Loss  0.869954, Time  0.456275
2021-09-23 11:17:26.043822 : Epoch 10, Batch     67, Loss  0.874209, Average Loss  0.870002, Time  0.413916
2021-09-23 11:17:31.001070 : Epoch 10, Batch     68, Loss  0.860876, Average Loss  0.869888, Time  0.413363
2021-09-23 11:17:35.966078 : Epoch 10, Batch     69, Loss  0.867521, Average Loss  0.869831, Time  0.413615
2021-09-23 11:17:40.961149 : Epoch 10, Batch     70, Loss  0.865244, Average Loss  0.869829, Time  0.416166
2021-09-23 11:17:45.930714 : Epoch 10, Batch     71, Loss  0.868041, Average Loss  0.869826, Time  0.413518
2021-09-23 11:17:50.903938 : Epoch 10, Batch     72, Loss  0.866089, Average Loss  0.869813, Time  0.415007
2021-09-23 11:17:55.865766 : Epoch 10, Batch     73, Loss  0.865670, Average Loss  0.869788, Time  0.415056
2021-09-23 11:18:00.826809 : Epoch 10, Batch     74, Loss  0.881867, Average Loss  0.869852, Time  0.413726
2021-09-23 11:18:05.782760 : Epoch 10, Batch     75, Loss  0.858360, Average Loss  0.869757, Time  0.412991
2021-09-23 11:18:10.801038 : Epoch 10, Batch     76, Loss  0.873291, Average Loss  0.869659, Time  0.457850
2021-09-23 11:18:15.776806 : Epoch 10, Batch     77, Loss  0.861351, Average Loss  0.869705, Time  0.414456
2021-09-23 11:18:20.734700 : Epoch 10, Batch     78, Loss  0.864485, Average Loss  0.869629, Time  0.414523
2021-09-23 11:18:25.702001 : Epoch 10, Batch     79, Loss  0.848875, Average Loss  0.869503, Time  0.413416
2021-09-23 11:18:30.680012 : Epoch 10, Batch     80, Loss  0.878847, Average Loss  0.869570, Time  0.413586
2021-09-23 11:18:35.636024 : Epoch 10, Batch     81, Loss  0.877620, Average Loss  0.869653, Time  0.413289
2021-09-23 11:18:40.585079 : Epoch 10, Batch     82, Loss  0.861451, Average Loss  0.869574, Time  0.413486
2021-09-23 11:18:45.540919 : Epoch 10, Batch     83, Loss  0.865066, Average Loss  0.869549, Time  0.412810
2021-09-23 11:18:50.509878 : Epoch 10, Batch     84, Loss  0.869239, Average Loss  0.869531, Time  0.414348
2021-09-23 11:18:55.516925 : Epoch 10, Batch     85, Loss  0.865387, Average Loss  0.869532, Time  0.455546
2021-09-23 11:19:00.459981 : Epoch 10, Batch     86, Loss  0.874425, Average Loss  0.869520, Time  0.413343
2021-09-23 11:19:05.420655 : Epoch 10, Batch     87, Loss  0.881747, Average Loss  0.869674, Time  0.414004
2021-09-23 11:19:10.387794 : Epoch 10, Batch     88, Loss  0.874643, Average Loss  0.869728, Time  0.413501
2021-09-23 11:19:15.343986 : Epoch 10, Batch     89, Loss  0.873052, Average Loss  0.869754, Time  0.413060
2021-09-23 11:19:20.299985 : Epoch 10, Batch     90, Loss  0.855706, Average Loss  0.869716, Time  0.412897
2021-09-23 11:19:25.243013 : Epoch 10, Batch     91, Loss  0.881033, Average Loss  0.869854, Time  0.413319
2021-09-23 11:19:30.184045 : Epoch 10, Batch     92, Loss  0.864225, Average Loss  0.869746, Time  0.413187
2021-09-23 11:19:35.129054 : Epoch 10, Batch     93, Loss  0.865114, Average Loss  0.869790, Time  0.413156
2021-09-23 11:19:40.130717 : Epoch 10, Batch     94, Loss  0.872520, Average Loss  0.869823, Time  0.466948
2021-09-23 11:19:45.069910 : Epoch 10, Batch     95, Loss  0.871549, Average Loss  0.869875, Time  0.415675
2021-09-23 11:19:50.032023 : Epoch 10, Batch     96, Loss  0.868669, Average Loss  0.869932, Time  0.414230
2021-09-23 11:19:54.987818 : Epoch 10, Batch     97, Loss  0.874706, Average Loss  0.869956, Time  0.413627
2021-09-23 11:19:59.934986 : Epoch 10, Batch     98, Loss  0.858251, Average Loss  0.869822, Time  0.414100
2021-09-23 11:20:04.877904 : Epoch 10, Batch     99, Loss  0.859041, Average Loss  0.869839, Time  0.413980
2021-09-23 11:20:09.821769 : Epoch 10, Batch    100, Loss  0.862729, Average Loss  0.869805, Time  0.414524
2021-09-23 11:20:14.791793 : Epoch 10, Batch    101, Loss  0.872546, Average Loss  0.869778, Time  0.412985
2021-09-23 11:20:19.739922 : Epoch 10, Batch    102, Loss  0.874736, Average Loss  0.869742, Time  0.413195
2021-09-23 11:20:24.704978 : Epoch 10, Batch    103, Loss  0.867596, Average Loss  0.869679, Time  0.413257
2021-09-23 11:20:29.706054 : Epoch 10, Batch    104, Loss  0.865361, Average Loss  0.869567, Time  0.465086
2021-09-23 11:20:34.658993 : Epoch 10, Batch    105, Loss  0.864678, Average Loss  0.869490, Time  0.420298
2021-09-23 11:20:39.650187 : Epoch 10, Batch    106, Loss  0.878029, Average Loss  0.869551, Time  0.413018
2021-09-23 11:20:44.607673 : Epoch 10, Batch    107, Loss  0.861350, Average Loss  0.869434, Time  0.413708
2021-09-23 11:20:49.570033 : Epoch 10, Batch    108, Loss  0.870340, Average Loss  0.869415, Time  0.412985
2021-09-23 11:20:54.528970 : Epoch 10, Batch    109, Loss  0.860408, Average Loss  0.869308, Time  0.414610
2021-09-23 11:20:59.505795 : Epoch 10, Batch    110, Loss  0.862145, Average Loss  0.869180, Time  0.414758
2021-09-23 11:21:04.463126 : Epoch 10, Batch    111, Loss  0.855323, Average Loss  0.869116, Time  0.413719
2021-09-23 11:21:09.436729 : Epoch 10, Batch    112, Loss  0.853157, Average Loss  0.869077, Time  0.414416
2021-09-23 11:21:14.438764 : Epoch 10, Batch    113, Loss  0.882177, Average Loss  0.869143, Time  0.460345
2021-09-23 11:21:19.399102 : Epoch 10, Batch    114, Loss  0.880827, Average Loss  0.869202, Time  0.413191
2021-09-23 11:21:24.341343 : Epoch 10, Batch    115, Loss  0.879764, Average Loss  0.869353, Time  0.413265
2021-09-23 11:21:29.287781 : Epoch 10, Batch    116, Loss  0.850581, Average Loss  0.869279, Time  0.412876
2021-09-23 11:21:34.234703 : Epoch 10, Batch    117, Loss  0.880021, Average Loss  0.869273, Time  0.413409
2021-09-23 11:21:39.172492 : Epoch 10, Batch    118, Loss  0.872312, Average Loss  0.869224, Time  0.413659
2021-09-23 11:21:44.116960 : Epoch 10, Batch    119, Loss  0.869188, Average Loss  0.869171, Time  0.413273
2021-09-23 11:21:49.057809 : Epoch 10, Batch    120, Loss  0.884068, Average Loss  0.869273, Time  0.413399
2021-09-23 11:21:54.008705 : Epoch 10, Batch    121, Loss  0.877524, Average Loss  0.869297, Time  0.413396
2021-09-23 11:21:59.006975 : Epoch 10, Batch    122, Loss  0.860139, Average Loss  0.869205, Time  0.462997
2021-09-23 11:22:03.963893 : Epoch 10, Batch    123, Loss  0.874341, Average Loss  0.869244, Time  0.413845
2021-09-23 11:22:08.929710 : Epoch 10, Batch    124, Loss  0.868874, Average Loss  0.869295, Time  0.413745
2021-09-23 11:22:13.870028 : Epoch 10, Batch    125, Loss  0.865091, Average Loss  0.869285, Time  0.416076
2021-09-23 11:22:18.822753 : Epoch 10, Batch    126, Loss  0.865575, Average Loss  0.869260, Time  0.413560
2021-09-23 11:22:23.794096 : Epoch 10, Batch    127, Loss  0.855345, Average Loss  0.869181, Time  0.413428
2021-09-23 11:22:28.749767 : Epoch 10, Batch    128, Loss  0.881852, Average Loss  0.869303, Time  0.413329
2021-09-23 11:22:33.738946 : Epoch 10, Batch    129, Loss  0.872854, Average Loss  0.869370, Time  0.413133
2021-09-23 11:22:38.729971 : Epoch 10, Batch    130, Loss  0.861418, Average Loss  0.869410, Time  0.413254
2021-09-23 11:22:43.688828 : Epoch 10, Batch    131, Loss  0.862912, Average Loss  0.869356, Time  0.413704
2021-09-23 11:22:48.684759 : Epoch 10, Batch    132, Loss  0.864689, Average Loss  0.869340, Time  0.456826
2021-09-23 11:22:53.632631 : Epoch 10, Batch    133, Loss  0.852179, Average Loss  0.869211, Time  0.413428
2021-09-23 11:22:58.584822 : Epoch 10, Batch    134, Loss  0.859251, Average Loss  0.869191, Time  0.413580
2021-09-23 11:23:03.544731 : Epoch 10, Batch    135, Loss  0.878785, Average Loss  0.869212, Time  0.413870
2021-09-23 11:23:08.499870 : Epoch 10, Batch    136, Loss  0.867483, Average Loss  0.869215, Time  0.413961
2021-09-23 11:23:13.460940 : Epoch 10, Batch    137, Loss  0.863316, Average Loss  0.869176, Time  0.413617
2021-09-23 11:23:18.428902 : Epoch 10, Batch    138, Loss  0.864666, Average Loss  0.869162, Time  0.413716
2021-09-23 11:23:23.381940 : Epoch 10, Batch    139, Loss  0.859232, Average Loss  0.869075, Time  0.413359
2021-09-23 11:23:28.332969 : Epoch 10, Batch    140, Loss  0.857485, Average Loss  0.869029, Time  0.413273
2021-09-23 11:23:33.357744 : Epoch 10, Batch    141, Loss  0.866879, Average Loss  0.868999, Time  0.457517
2021-09-23 11:23:38.308227 : Epoch 10, Batch    142, Loss  0.867462, Average Loss  0.869016, Time  0.413277
2021-09-23 11:23:43.258061 : Epoch 10, Batch    143, Loss  0.870149, Average Loss  0.869080, Time  0.412832
2021-09-23 11:23:48.210948 : Epoch 10, Batch    144, Loss  0.868749, Average Loss  0.869071, Time  0.413200
2021-09-23 11:23:53.168998 : Epoch 10, Batch    145, Loss  0.880213, Average Loss  0.869098, Time  0.413275
2021-09-23 11:23:58.141005 : Epoch 10, Batch    146, Loss  0.865748, Average Loss  0.869139, Time  0.413791
2021-09-23 11:24:03.106774 : Epoch 10, Batch    147, Loss  0.869305, Average Loss  0.869123, Time  0.414380
2021-09-23 11:24:08.059792 : Epoch 10, Batch    148, Loss  0.875362, Average Loss  0.869237, Time  0.413689
2021-09-23 11:28:04.011722 : CheckPoint: Validation Loss  0.00015203, Best Loss  0.00014540
2021-09-23 11:28:09.005023 : Epoch 10, Batch    149, Loss  0.875435, Average Loss  0.869237, Time  0.462708
2021-09-23 11:28:13.954816 : Epoch 10, Batch    150, Loss  0.859532, Average Loss  0.869251, Time  0.413334
2021-09-23 11:28:18.904998 : Epoch 10, Batch    151, Loss  0.857298, Average Loss  0.869179, Time  0.413021
2021-09-23 11:28:23.853809 : Epoch 10, Batch    152, Loss  0.874185, Average Loss  0.869193, Time  0.413053
2021-09-23 11:28:28.798959 : Epoch 10, Batch    153, Loss  0.858800, Average Loss  0.869097, Time  0.413092
2021-09-23 11:28:33.741193 : Epoch 10, Batch    154, Loss  0.867725, Average Loss  0.869037, Time  0.413301
2021-09-23 11:28:38.687727 : Epoch 10, Batch    155, Loss  0.876847, Average Loss  0.869075, Time  0.413255
2021-09-23 11:28:43.623997 : Epoch 10, Batch    156, Loss  0.869145, Average Loss  0.869094, Time  0.413286
2021-09-23 11:28:48.585463 : Epoch 10, Batch    157, Loss  0.880186, Average Loss  0.869199, Time  0.413531
2021-09-23 11:28:53.538077 : Epoch 10, Batch    158, Loss  0.883695, Average Loss  0.869308, Time  0.414066
2021-09-23 11:28:58.549020 : Epoch 10, Batch    159, Loss  0.876223, Average Loss  0.869373, Time  0.462561
2021-09-23 11:29:03.501161 : Epoch 10, Batch    160, Loss  0.868739, Average Loss  0.869310, Time  0.413712
2021-09-23 11:29:08.464796 : Epoch 10, Batch    161, Loss  0.874712, Average Loss  0.869335, Time  0.414464
2021-09-23 11:29:13.419540 : Epoch 10, Batch    162, Loss  0.866100, Average Loss  0.869387, Time  0.413497
2021-09-23 11:29:18.378038 : Epoch 10, Batch    163, Loss  0.878781, Average Loss  0.869408, Time  0.413232
2021-09-23 11:29:23.322034 : Epoch 10, Batch    164, Loss  0.865263, Average Loss  0.869449, Time  0.413327
2021-09-23 11:29:28.267989 : Epoch 10, Batch    165, Loss  0.876314, Average Loss  0.869470, Time  0.412966
2021-09-23 11:29:33.213832 : Epoch 10, Batch    166, Loss  0.861059, Average Loss  0.869379, Time  0.413598
2021-09-23 11:29:38.170763 : Epoch 10, Batch    167, Loss  0.862747, Average Loss  0.869296, Time  0.413357
2021-09-23 11:29:43.192255 : Epoch 10, Batch    168, Loss  0.895320, Average Loss  0.869492, Time  0.467220
2021-09-23 11:29:48.140227 : Epoch 10, Batch    169, Loss  0.874141, Average Loss  0.869503, Time  0.415742
2021-09-23 11:29:53.175194 : Epoch 10, Batch    170, Loss  0.875328, Average Loss  0.869596, Time  0.414394
2021-09-23 11:29:58.136982 : Epoch 10, Batch    171, Loss  0.874040, Average Loss  0.869660, Time  0.414108
2021-09-23 11:30:03.120780 : Epoch 10, Batch    172, Loss  0.867766, Average Loss  0.869653, Time  0.414324
2021-09-23 11:30:08.066027 : Epoch 10, Batch    173, Loss  0.872705, Average Loss  0.869774, Time  0.413519
2021-09-23 11:30:13.047815 : Epoch 10, Batch    174, Loss  0.879732, Average Loss  0.869758, Time  0.414370
2021-09-23 11:30:17.997374 : Epoch 10, Batch    175, Loss  0.879672, Average Loss  0.869741, Time  0.416133
2021-09-23 11:30:22.949286 : Epoch 10, Batch    176, Loss  0.851113, Average Loss  0.869687, Time  0.413214
2021-09-23 11:30:27.937189 : Epoch 10, Batch    177, Loss  0.857631, Average Loss  0.869530, Time  0.459937
2021-09-23 11:30:32.887052 : Epoch 10, Batch    178, Loss  0.866409, Average Loss  0.869566, Time  0.413126
2021-09-23 11:30:37.855942 : Epoch 10, Batch    179, Loss  0.882449, Average Loss  0.869659, Time  0.413375
2021-09-23 11:30:42.803073 : Epoch 10, Batch    180, Loss  0.869925, Average Loss  0.869680, Time  0.413291
2021-09-23 11:30:47.761757 : Epoch 10, Batch    181, Loss  0.877418, Average Loss  0.869705, Time  0.417355
2021-09-23 11:30:52.714974 : Epoch 10, Batch    182, Loss  0.879941, Average Loss  0.869777, Time  0.413907
2021-09-23 11:30:57.678036 : Epoch 10, Batch    183, Loss  0.878698, Average Loss  0.869843, Time  0.414389
2021-09-23 11:31:02.627118 : Epoch 10, Batch    184, Loss  0.851755, Average Loss  0.869732, Time  0.413749
2021-09-23 11:31:07.572015 : Epoch 10, Batch    185, Loss  0.865825, Average Loss  0.869738, Time  0.413810
2021-09-23 11:31:12.511897 : Epoch 10, Batch    186, Loss  0.864061, Average Loss  0.869712, Time  0.413277
2021-09-23 11:31:17.516906 : Epoch 10, Batch    187, Loss  0.872068, Average Loss  0.869683, Time  0.457025
2021-09-23 11:31:22.464279 : Epoch 10, Batch    188, Loss  0.870127, Average Loss  0.869592, Time  0.414397
2021-09-23 11:31:27.420195 : Epoch 10, Batch    189, Loss  0.877668, Average Loss  0.869626, Time  0.413352
2021-09-23 11:31:32.382778 : Epoch 10, Batch    190, Loss  0.856563, Average Loss  0.869557, Time  0.413551
2021-09-23 11:31:37.342971 : Epoch 10, Batch    191, Loss  0.868006, Average Loss  0.869427, Time  0.413107
2021-09-23 11:31:42.296174 : Epoch 10, Batch    192, Loss  0.873374, Average Loss  0.869441, Time  0.413552
2021-09-23 11:31:47.258794 : Epoch 10, Batch    193, Loss  0.877200, Average Loss  0.869452, Time  0.413648
2021-09-23 11:31:52.219327 : Epoch 10, Batch    194, Loss  0.876923, Average Loss  0.869478, Time  0.413728
2021-09-23 11:31:57.159989 : Epoch 10, Batch    195, Loss  0.871765, Average Loss  0.869458, Time  0.413166
2021-09-23 11:32:02.170998 : Epoch 10, Batch    196, Loss  0.876273, Average Loss  0.869520, Time  0.459528
2021-09-23 11:32:07.209023 : Epoch 10, Batch    197, Loss  0.864519, Average Loss  0.869463, Time  0.414279
2021-09-23 11:32:12.163620 : Epoch 10, Batch    198, Loss  0.882887, Average Loss  0.869424, Time  0.414112
2021-09-23 11:32:17.128724 : Epoch 10, Batch    199, Loss  0.870420, Average Loss  0.869478, Time  0.414575
2021-09-23 11:32:22.090742 : Epoch 10, Batch    200, Loss  0.885740, Average Loss  0.869454, Time  0.413699
2021-09-23 11:32:27.090404 : Epoch 10, Batch    201, Loss  0.866822, Average Loss  0.869448, Time  0.413709
2021-09-23 11:32:32.031774 : Epoch 10, Batch    202, Loss  0.869750, Average Loss  0.869430, Time  0.413658
2021-09-23 11:32:36.986842 : Epoch 10, Batch    203, Loss  0.857744, Average Loss  0.869348, Time  0.413576
2021-09-23 11:32:41.937991 : Epoch 10, Batch    204, Loss  0.872245, Average Loss  0.869443, Time  0.413566
2021-09-23 11:32:46.979750 : Epoch 10, Batch    205, Loss  0.870557, Average Loss  0.869426, Time  0.413798
2021-09-23 11:32:51.948272 : Epoch 10, Batch    206, Loss  0.864737, Average Loss  0.869399, Time  0.438230
2021-09-23 11:32:56.897085 : Epoch 10, Batch    207, Loss  0.869716, Average Loss  0.869380, Time  0.413051
2021-09-23 11:33:01.864808 : Epoch 10, Batch    208, Loss  0.860649, Average Loss  0.869430, Time  0.414687
2021-09-23 11:33:06.855729 : Epoch 10, Batch    209, Loss  0.865622, Average Loss  0.869444, Time  0.414087
2021-09-23 11:33:11.815751 : Epoch 10, Batch    210, Loss  0.870777, Average Loss  0.869432, Time  0.414106
2021-09-23 11:33:16.768232 : Epoch 10, Batch    211, Loss  0.875958, Average Loss  0.869506, Time  0.413712
2021-09-23 11:33:21.724109 : Epoch 10, Batch    212, Loss  0.869418, Average Loss  0.869540, Time  0.414020
2021-09-23 11:33:26.673468 : Epoch 10, Batch    213, Loss  0.876334, Average Loss  0.869524, Time  0.413734
2021-09-23 11:33:31.629761 : Epoch 10, Batch    214, Loss  0.870443, Average Loss  0.869589, Time  0.413496
2021-09-23 11:33:36.604974 : Epoch 10, Batch    215, Loss  0.882952, Average Loss  0.869660, Time  0.430649
2021-09-23 11:33:41.553889 : Epoch 10, Batch    216, Loss  0.867973, Average Loss  0.869655, Time  0.413235
2021-09-23 11:33:46.519048 : Epoch 10, Batch    217, Loss  0.861947, Average Loss  0.869596, Time  0.413246
2021-09-23 11:33:51.476399 : Epoch 10, Batch    218, Loss  0.868557, Average Loss  0.869593, Time  0.413174
2021-09-23 11:33:56.427739 : Epoch 10, Batch    219, Loss  0.876623, Average Loss  0.869535, Time  0.414041
2021-09-23 11:34:01.372010 : Epoch 10, Batch    220, Loss  0.881209, Average Loss  0.869583, Time  0.413316
2021-09-23 11:34:06.338935 : Epoch 10, Batch    221, Loss  0.863824, Average Loss  0.869548, Time  0.414880
2021-09-23 11:34:11.308245 : Epoch 10, Batch    222, Loss  0.869120, Average Loss  0.869463, Time  0.414426
2021-09-23 11:34:16.275066 : Epoch 10, Batch    223, Loss  0.864381, Average Loss  0.869413, Time  0.414074
2021-09-23 11:34:21.283951 : Epoch 10, Batch    224, Loss  0.880687, Average Loss  0.869440, Time  0.453582
2021-09-23 11:34:26.225864 : Epoch 10, Batch    225, Loss  0.879518, Average Loss  0.869546, Time  0.413445
2021-09-23 11:34:31.177711 : Epoch 10, Batch    226, Loss  0.871756, Average Loss  0.869596, Time  0.413694
2021-09-23 11:34:36.128875 : Epoch 10, Batch    227, Loss  0.872714, Average Loss  0.869548, Time  0.413300
2021-09-23 11:34:41.078030 : Epoch 10, Batch    228, Loss  0.874731, Average Loss  0.869583, Time  0.412925
2021-09-23 11:34:46.032962 : Epoch 10, Batch    229, Loss  0.860434, Average Loss  0.869501, Time  0.413673
2021-09-23 11:34:50.986834 : Epoch 10, Batch    230, Loss  0.863507, Average Loss  0.869460, Time  0.413203
2021-09-23 11:34:55.948011 : Epoch 10, Batch    231, Loss  0.882858, Average Loss  0.869544, Time  0.413503
2021-09-23 11:35:00.917866 : Epoch 10, Batch    232, Loss  0.859757, Average Loss  0.869510, Time  0.413653
2021-09-23 11:35:05.885709 : Epoch 10, Batch    233, Loss  0.857358, Average Loss  0.869450, Time  0.413345
2021-09-23 11:35:10.875887 : Epoch 10, Batch    234, Loss  0.870664, Average Loss  0.869529, Time  0.450168
2021-09-23 11:35:15.824958 : Epoch 10, Batch    235, Loss  0.867613, Average Loss  0.869519, Time  0.413613
2021-09-23 11:35:20.786828 : Epoch 10, Batch    236, Loss  0.872975, Average Loss  0.869495, Time  0.413972
2021-09-23 11:35:25.799017 : Epoch 10, Batch    237, Loss  0.872825, Average Loss  0.869479, Time  0.415071
2021-09-23 11:35:30.762002 : Epoch 10, Batch    238, Loss  0.859514, Average Loss  0.869493, Time  0.413413
2021-09-23 11:35:35.712759 : Epoch 10, Batch    239, Loss  0.868844, Average Loss  0.869424, Time  0.413526
2021-09-23 11:35:40.669162 : Epoch 10, Batch    240, Loss  0.869218, Average Loss  0.869388, Time  0.413413
2021-09-23 11:35:45.625052 : Epoch 10, Batch    241, Loss  0.857301, Average Loss  0.869332, Time  0.413450
2021-09-23 11:35:50.566187 : Epoch 10, Batch    242, Loss  0.889859, Average Loss  0.869463, Time  0.412916
2021-09-23 11:35:55.565719 : Epoch 10, Batch    243, Loss  0.868618, Average Loss  0.869445, Time  0.432084
2021-09-23 11:36:00.536980 : Epoch 10, Batch    244, Loss  0.878167, Average Loss  0.869445, Time  0.413756
2021-09-23 11:36:05.483909 : Epoch 10, Batch    245, Loss  0.867361, Average Loss  0.869402, Time  0.413327
2021-09-23 11:36:10.444004 : Epoch 10, Batch    246, Loss  0.874409, Average Loss  0.869442, Time  0.413592
2021-09-23 11:36:15.405996 : Epoch 10, Batch    247, Loss  0.861600, Average Loss  0.869427, Time  0.414561
2021-09-23 11:36:20.371237 : Epoch 10, Batch    248, Loss  0.853395, Average Loss  0.869323, Time  0.414394
2021-09-23 11:40:17.242743 : CheckPoint: Validation Loss  0.00015214, Best Loss  0.00014540
2021-09-23 11:40:22.207770 : Epoch 10, Batch    249, Loss  0.860484, Average Loss  0.869293, Time  0.414493
2021-09-23 11:40:27.167787 : Epoch 10, Batch    250, Loss  0.851703, Average Loss  0.869241, Time  0.412876
2021-09-23 11:40:32.139952 : Epoch 10, Batch    251, Loss  0.866826, Average Loss  0.869228, Time  0.413073
2021-09-23 11:40:37.202840 : Epoch 10, Batch    252, Loss  0.875857, Average Loss  0.869221, Time  0.452759
2021-09-23 11:40:42.172986 : Epoch 10, Batch    253, Loss  0.869819, Average Loss  0.869195, Time  0.413032
2021-09-23 11:40:47.133970 : Epoch 10, Batch    254, Loss  0.871430, Average Loss  0.869163, Time  0.413214
2021-09-23 11:40:52.087102 : Epoch 10, Batch    255, Loss  0.872524, Average Loss  0.869174, Time  0.413891
2021-09-23 11:40:57.041767 : Epoch 10, Batch    256, Loss  0.859098, Average Loss  0.869121, Time  0.414135
2021-09-23 11:41:02.004262 : Epoch 10, Batch    257, Loss  0.870318, Average Loss  0.869114, Time  0.414384
2021-09-23 11:41:06.979770 : Epoch 10, Batch    258, Loss  0.876134, Average Loss  0.869165, Time  0.413661
2021-09-23 11:41:11.927777 : Epoch 10, Batch    259, Loss  0.860002, Average Loss  0.869111, Time  0.413779
2021-09-23 11:41:16.877069 : Epoch 10, Batch    260, Loss  0.873072, Average Loss  0.869103, Time  0.413590
2021-09-23 11:41:21.843751 : Epoch 10, Batch    261, Loss  0.866548, Average Loss  0.869122, Time  0.414476
2021-09-23 11:41:26.841375 : Epoch 10, Batch    262, Loss  0.875037, Average Loss  0.869141, Time  0.460085
2021-09-23 11:41:31.798899 : Epoch 10, Batch    263, Loss  0.865809, Average Loss  0.869145, Time  0.413555
2021-09-23 11:41:36.763751 : Epoch 10, Batch    264, Loss  0.868635, Average Loss  0.869200, Time  0.413448
2021-09-23 11:41:41.697724 : Epoch 10, Batch    265, Loss  0.855648, Average Loss  0.869177, Time  0.413189
2021-09-23 11:41:46.645046 : Epoch 10, Batch    266, Loss  0.854548, Average Loss  0.869096, Time  0.413334
2021-09-23 11:41:51.599975 : Epoch 10, Batch    267, Loss  0.875687, Average Loss  0.869103, Time  0.413490
2021-09-23 11:41:56.542257 : Epoch 10, Batch    268, Loss  0.871447, Average Loss  0.869156, Time  0.413811
2021-09-23 11:42:01.493000 : Epoch 10, Batch    269, Loss  0.872017, Average Loss  0.869179, Time  0.413015
2021-09-23 11:42:06.458071 : Epoch 10, Batch    270, Loss  0.871035, Average Loss  0.869207, Time  0.414681
2021-09-23 11:42:11.485985 : Epoch 10, Batch    271, Loss  0.864727, Average Loss  0.869191, Time  0.463879
2021-09-23 11:42:16.458914 : Epoch 10, Batch    272, Loss  0.884258, Average Loss  0.869282, Time  0.420146
2021-09-23 11:42:21.407754 : Epoch 10, Batch    273, Loss  0.872391, Average Loss  0.869315, Time  0.413771
2021-09-23 11:42:26.367747 : Epoch 10, Batch    274, Loss  0.840552, Average Loss  0.869109, Time  0.414430
2021-09-23 11:42:31.325737 : Epoch 10, Batch    275, Loss  0.871194, Average Loss  0.869173, Time  0.413795
2021-09-23 11:42:36.279002 : Epoch 10, Batch    276, Loss  0.863416, Average Loss  0.869124, Time  0.414081
2021-09-23 11:42:41.223986 : Epoch 10, Batch    277, Loss  0.877646, Average Loss  0.869205, Time  0.413060
2021-09-23 11:42:46.177860 : Epoch 10, Batch    278, Loss  0.873053, Average Loss  0.869248, Time  0.413217
2021-09-23 11:42:51.166022 : Epoch 10, Batch    279, Loss  0.868894, Average Loss  0.869348, Time  0.413081
2021-09-23 11:42:56.166862 : Epoch 10, Batch    280, Loss  0.863647, Average Loss  0.869272, Time  0.462947
2021-09-23 11:43:01.169026 : Epoch 10, Batch    281, Loss  0.866551, Average Loss  0.869217, Time  0.413200
2021-09-23 11:43:06.110725 : Epoch 10, Batch    282, Loss  0.880404, Average Loss  0.869311, Time  0.413324
2021-09-23 11:43:11.071207 : Epoch 10, Batch    283, Loss  0.852575, Average Loss  0.869249, Time  0.414581
2021-09-23 11:43:16.035006 : Epoch 10, Batch    284, Loss  0.877183, Average Loss  0.869289, Time  0.413809
2021-09-23 11:43:20.994013 : Epoch 10, Batch    285, Loss  0.879406, Average Loss  0.869359, Time  0.413843
2021-09-23 11:43:25.942724 : Epoch 10, Batch    286, Loss  0.885361, Average Loss  0.869413, Time  0.414283
2021-09-23 11:43:30.907725 : Epoch 10, Batch    287, Loss  0.870219, Average Loss  0.869356, Time  0.413387
2021-09-23 11:43:35.863323 : Epoch 10, Batch    288, Loss  0.860862, Average Loss  0.869287, Time  0.413851
2021-09-23 11:43:40.835765 : Epoch 10, Batch    289, Loss  0.874876, Average Loss  0.869296, Time  0.413595
2021-09-23 11:43:45.827756 : Epoch 10, Batch    290, Loss  0.881597, Average Loss  0.869425, Time  0.466464
2021-09-23 11:43:50.783176 : Epoch 10, Batch    291, Loss  0.859670, Average Loss  0.869319, Time  0.415396
2021-09-23 11:43:55.735755 : Epoch 10, Batch    292, Loss  0.864796, Average Loss  0.869322, Time  0.413197
2021-09-23 11:44:00.675562 : Epoch 10, Batch    293, Loss  0.858200, Average Loss  0.869287, Time  0.413303
2021-09-23 11:44:05.636767 : Epoch 10, Batch    294, Loss  0.861532, Average Loss  0.869232, Time  0.413463
2021-09-23 11:44:10.603779 : Epoch 10, Batch    295, Loss  0.871943, Average Loss  0.869234, Time  0.414576
2021-09-23 11:44:15.566082 : Epoch 10, Batch    296, Loss  0.857826, Average Loss  0.869180, Time  0.413598
2021-09-23 11:44:20.511034 : Epoch 10, Batch    297, Loss  0.882089, Average Loss  0.869217, Time  0.414167
2021-09-23 11:44:25.465816 : Epoch 10, Batch    298, Loss  0.865600, Average Loss  0.869253, Time  0.413894
2021-09-23 11:44:30.452986 : Epoch 10, Batch    299, Loss  0.861707, Average Loss  0.869267, Time  0.447420
2021-09-23 11:44:35.401789 : Epoch 10, Batch    300, Loss  0.860573, Average Loss  0.869256, Time  0.413207
2021-09-23 11:44:40.366741 : Epoch 10, Batch    301, Loss  0.862046, Average Loss  0.869203, Time  0.413615
2021-09-23 11:44:45.343747 : Epoch 10, Batch    302, Loss  0.886748, Average Loss  0.869264, Time  0.413188
2021-09-23 11:44:50.289720 : Epoch 10, Batch    303, Loss  0.868677, Average Loss  0.869269, Time  0.412947
2021-09-23 11:44:55.248083 : Epoch 10, Batch    304, Loss  0.883419, Average Loss  0.869359, Time  0.413661
2021-09-23 11:45:00.193000 : Epoch 10, Batch    305, Loss  0.859501, Average Loss  0.869333, Time  0.413136
2021-09-23 11:45:05.141807 : Epoch 10, Batch    306, Loss  0.877979, Average Loss  0.869333, Time  0.413429
2021-09-23 11:45:10.114934 : Epoch 10, Batch    307, Loss  0.884979, Average Loss  0.869451, Time  0.412909
2021-09-23 11:45:15.072997 : Epoch 10, Batch    308, Loss  0.871370, Average Loss  0.869456, Time  0.414876
2021-09-23 11:45:20.077200 : Epoch 10, Batch    309, Loss  0.878027, Average Loss  0.869544, Time  0.461038
2021-09-23 11:45:25.019820 : Epoch 10, Batch    310, Loss  0.862132, Average Loss  0.869544, Time  0.414032
2021-09-23 11:45:29.972901 : Epoch 10, Batch    311, Loss  0.881985, Average Loss  0.869678, Time  0.413673
2021-09-23 11:45:34.926786 : Epoch 10, Batch    312, Loss  0.876648, Average Loss  0.869795, Time  0.413460
2021-09-23 11:45:39.904744 : Epoch 10, Batch    313, Loss  0.871759, Average Loss  0.869743, Time  0.413682
2021-09-23 11:45:44.846841 : Epoch 10, Batch    314, Loss  0.850947, Average Loss  0.869594, Time  0.414062
2021-09-23 11:45:49.793732 : Epoch 10, Batch    315, Loss  0.897734, Average Loss  0.869684, Time  0.413475
2021-09-23 11:45:54.749918 : Epoch 10, Batch    316, Loss  0.865336, Average Loss  0.869757, Time  0.413445
2021-09-23 11:45:59.701955 : Epoch 10, Batch    317, Loss  0.859648, Average Loss  0.869655, Time  0.413208
2021-09-23 11:46:04.671294 : Epoch 10, Batch    318, Loss  0.862765, Average Loss  0.869608, Time  0.413212
2021-09-23 11:46:09.659970 : Epoch 10, Batch    319, Loss  0.879389, Average Loss  0.869659, Time  0.456581
2021-09-23 11:46:14.612133 : Epoch 10, Batch    320, Loss  0.868035, Average Loss  0.869579, Time  0.413440
2021-09-23 11:46:19.567933 : Epoch 10, Batch    321, Loss  0.865178, Average Loss  0.869517, Time  0.414725
2021-09-23 11:46:24.528175 : Epoch 10, Batch    322, Loss  0.863665, Average Loss  0.869534, Time  0.414114
2021-09-23 11:46:29.459809 : Epoch 10, Batch    323, Loss  0.886255, Average Loss  0.869594, Time  0.413638
2021-09-23 11:46:34.447205 : Epoch 10, Batch    324, Loss  0.874542, Average Loss  0.869622, Time  0.414664
2021-09-23 11:46:39.401918 : Epoch 10, Batch    325, Loss  0.862324, Average Loss  0.869609, Time  0.413332
2021-09-23 11:46:44.361778 : Epoch 10, Batch    326, Loss  0.862463, Average Loss  0.869593, Time  0.413061
2021-09-23 11:46:49.320795 : Epoch 10, Batch    327, Loss  0.872122, Average Loss  0.869677, Time  0.413598
2021-09-23 11:46:54.335086 : Epoch 10, Batch    328, Loss  0.862949, Average Loss  0.869582, Time  0.461713
2021-09-23 11:46:59.297739 : Epoch 10, Batch    329, Loss  0.875259, Average Loss  0.869594, Time  0.413666
2021-09-23 11:47:04.243865 : Epoch 10, Batch    330, Loss  0.877874, Average Loss  0.869677, Time  0.413130
2021-09-23 11:47:09.182745 : Epoch 10, Batch    331, Loss  0.880077, Average Loss  0.869762, Time  0.413350
2021-09-23 11:47:14.134797 : Epoch 10, Batch    332, Loss  0.864117, Average Loss  0.869760, Time  0.413420
2021-09-23 11:47:19.081009 : Epoch 10, Batch    333, Loss  0.855722, Average Loss  0.869777, Time  0.413095
2021-09-23 11:47:24.046078 : Epoch 10, Batch    334, Loss  0.861565, Average Loss  0.869789, Time  0.420222
2021-09-23 11:47:29.000056 : Epoch 10, Batch    335, Loss  0.873205, Average Loss  0.869761, Time  0.414222
2021-09-23 11:47:33.959944 : Epoch 10, Batch    336, Loss  0.887032, Average Loss  0.869859, Time  0.413503
2021-09-23 11:47:38.921676 : Epoch 10, Batch    337, Loss  0.867686, Average Loss  0.869881, Time  0.414361
2021-09-23 11:47:43.919008 : Epoch 10, Batch    338, Loss  0.845743, Average Loss  0.869786, Time  0.456605
2021-09-23 11:47:48.869740 : Epoch 10, Batch    339, Loss  0.872394, Average Loss  0.869852, Time  0.413320
2021-09-23 11:47:53.817728 : Epoch 10, Batch    340, Loss  0.872023, Average Loss  0.869924, Time  0.413810
2021-09-23 11:47:58.758715 : Epoch 10, Batch    341, Loss  0.872856, Average Loss  0.869954, Time  0.412849
2021-09-23 11:48:03.720108 : Epoch 10, Batch    342, Loss  0.874811, Average Loss  0.869991, Time  0.413162
2021-09-23 11:48:08.673021 : Epoch 10, Batch    343, Loss  0.866072, Average Loss  0.869971, Time  0.413692
2021-09-23 11:48:13.636117 : Epoch 10, Batch    344, Loss  0.870247, Average Loss  0.869978, Time  0.413163
2021-09-23 11:48:18.593736 : Epoch 10, Batch    345, Loss  0.872882, Average Loss  0.869942, Time  0.413403
2021-09-23 11:48:23.561766 : Epoch 10, Batch    346, Loss  0.867264, Average Loss  0.869949, Time  0.414711
2021-09-23 11:48:28.574047 : Epoch 10, Batch    347, Loss  0.866809, Average Loss  0.869937, Time  0.464610
2021-09-23 11:48:33.532936 : Epoch 10, Batch    348, Loss  0.876018, Average Loss  0.869940, Time  0.421275
2021-09-23 11:52:30.161737 : CheckPoint: Validation Loss  0.00014953, Best Loss  0.00014540
2021-09-23 11:52:35.143956 : Epoch 10, Batch    349, Loss  0.870975, Average Loss  0.869918, Time  0.414714
2021-09-23 11:52:40.132399 : Epoch 10, Batch    350, Loss  0.869862, Average Loss  0.869969, Time  0.414179
2021-09-23 11:52:45.114067 : Epoch 10, Batch    351, Loss  0.866183, Average Loss  0.870014, Time  0.413546
2021-09-23 11:52:50.086751 : Epoch 10, Batch    352, Loss  0.863577, Average Loss  0.869961, Time  0.414665
2021-09-23 11:52:55.050733 : Epoch 10, Batch    353, Loss  0.854810, Average Loss  0.869941, Time  0.413296
2021-09-23 11:53:00.009140 : Epoch 10, Batch    354, Loss  0.849099, Average Loss  0.869848, Time  0.413459
2021-09-23 11:53:04.961764 : Epoch 10, Batch    355, Loss  0.862048, Average Loss  0.869774, Time  0.413068
2021-09-23 11:53:09.978980 : Epoch 10, Batch    356, Loss  0.880554, Average Loss  0.869831, Time  0.459944
2021-09-23 11:53:14.932935 : Epoch 10, Batch    357, Loss  0.879278, Average Loss  0.869826, Time  0.414800
2021-09-23 11:53:19.883921 : Epoch 10, Batch    358, Loss  0.860182, Average Loss  0.869709, Time  0.413347
2021-09-23 11:53:24.830007 : Epoch 10, Batch    359, Loss  0.847933, Average Loss  0.869567, Time  0.413772
2021-09-23 11:53:29.790924 : Epoch 10, Batch    360, Loss  0.871904, Average Loss  0.869583, Time  0.413991
2021-09-23 11:53:34.745885 : Epoch 10, Batch    361, Loss  0.868459, Average Loss  0.869552, Time  0.413624
2021-09-23 11:53:39.689759 : Epoch 10, Batch    362, Loss  0.879993, Average Loss  0.869621, Time  0.413525
2021-09-23 11:53:44.645403 : Epoch 10, Batch    363, Loss  0.858029, Average Loss  0.869517, Time  0.413057
2021-09-23 11:53:49.595038 : Epoch 10, Batch    364, Loss  0.868646, Average Loss  0.869534, Time  0.413769
2021-09-23 11:53:54.633853 : Epoch 10, Batch    365, Loss  0.867875, Average Loss  0.869492, Time  0.461777
2021-09-23 11:53:59.581817 : Epoch 10, Batch    366, Loss  0.858048, Average Loss  0.869477, Time  0.413332
2021-09-23 11:54:04.541030 : Epoch 10, Batch    367, Loss  0.876578, Average Loss  0.869546, Time  0.413248
2021-09-23 11:54:09.493916 : Epoch 10, Batch    368, Loss  0.861155, Average Loss  0.869375, Time  0.413575
2021-09-23 11:54:14.456729 : Epoch 10, Batch    369, Loss  0.858461, Average Loss  0.869297, Time  0.413586
2021-09-23 11:54:19.413737 : Epoch 10, Batch    370, Loss  0.883913, Average Loss  0.869340, Time  0.414077
2021-09-23 11:54:24.391435 : Epoch 10, Batch    371, Loss  0.860164, Average Loss  0.869271, Time  0.414188
2021-09-23 11:54:29.356008 : Epoch 10, Batch    372, Loss  0.859214, Average Loss  0.869228, Time  0.413377
2021-09-23 11:54:34.328913 : Epoch 10, Batch    373, Loss  0.872433, Average Loss  0.869226, Time  0.414509
2021-09-23 11:54:39.348917 : Epoch 10, Batch    374, Loss  0.885696, Average Loss  0.869256, Time  0.460806
2021-09-23 11:54:44.318808 : Epoch 10, Batch    375, Loss  0.860234, Average Loss  0.869159, Time  0.413215
2021-09-23 11:54:49.286836 : Epoch 10, Batch    376, Loss  0.870112, Average Loss  0.869254, Time  0.413338
2021-09-23 11:54:54.250003 : Epoch 10, Batch    377, Loss  0.873818, Average Loss  0.869335, Time  0.413491
2021-09-23 11:54:59.207766 : Epoch 10, Batch    378, Loss  0.864736, Average Loss  0.869327, Time  0.413034
2021-09-23 11:55:04.179733 : Epoch 10, Batch    379, Loss  0.876016, Average Loss  0.869294, Time  0.413416
2021-09-23 11:55:09.144995 : Epoch 10, Batch    380, Loss  0.885058, Average Loss  0.869370, Time  0.413276
2021-09-23 11:55:14.104016 : Epoch 10, Batch    381, Loss  0.863492, Average Loss  0.869300, Time  0.413249
2021-09-23 11:55:19.064110 : Epoch 10, Batch    382, Loss  0.851652, Average Loss  0.869159, Time  0.414166
2021-09-23 11:55:24.017957 : Epoch 10, Batch    383, Loss  0.859223, Average Loss  0.869062, Time  0.413568
2021-09-23 11:55:29.026818 : Epoch 10, Batch    384, Loss  0.874618, Average Loss  0.869176, Time  0.465349
2021-09-23 11:55:33.992019 : Epoch 10, Batch    385, Loss  0.881483, Average Loss  0.869254, Time  0.420186
2021-09-23 11:55:38.964037 : Epoch 10, Batch    386, Loss  0.865074, Average Loss  0.869259, Time  0.414398
2021-09-23 11:55:43.924933 : Epoch 10, Batch    387, Loss  0.860092, Average Loss  0.869199, Time  0.413374
2021-09-23 11:55:48.890064 : Epoch 10, Batch    388, Loss  0.856291, Average Loss  0.869130, Time  0.413700
2021-09-23 11:55:53.854726 : Epoch 10, Batch    389, Loss  0.888698, Average Loss  0.869185, Time  0.413217
2021-09-23 11:55:58.814134 : Epoch 10, Batch    390, Loss  0.875419, Average Loss  0.869280, Time  0.413262
2021-09-23 11:56:03.770748 : Epoch 10, Batch    391, Loss  0.844611, Average Loss  0.869163, Time  0.413575
2021-09-23 11:56:08.718882 : Epoch 10, Batch    392, Loss  0.851796, Average Loss  0.869055, Time  0.415693
2021-09-23 11:56:13.728979 : Epoch 10, Batch    393, Loss  0.843685, Average Loss  0.868887, Time  0.465966
2021-09-23 11:56:18.699860 : Epoch 10, Batch    394, Loss  0.880436, Average Loss  0.868905, Time  0.420006
2021-09-23 11:56:23.660917 : Epoch 10, Batch    395, Loss  0.868342, Average Loss  0.868888, Time  0.414621
2021-09-23 11:56:28.624795 : Epoch 10, Batch    396, Loss  0.866640, Average Loss  0.868840, Time  0.413517
2021-09-23 11:56:33.596810 : Epoch 10, Batch    397, Loss  0.857704, Average Loss  0.868805, Time  0.413950
2021-09-23 11:56:38.546752 : Epoch 10, Batch    398, Loss  0.867057, Average Loss  0.868726, Time  0.413638
2021-09-23 11:56:43.531835 : Epoch 10, Batch    399, Loss  0.863222, Average Loss  0.868690, Time  0.414149
2021-09-23 11:56:48.495750 : Epoch 10, Batch    400, Loss  0.858855, Average Loss  0.868556, Time  0.413152
2021-09-23 11:56:53.466737 : Epoch 10, Batch    401, Loss  0.879970, Average Loss  0.868622, Time  0.413606
2021-09-23 11:56:58.480197 : Epoch 10, Batch    402, Loss  0.871749, Average Loss  0.868632, Time  0.454350
2021-09-23 11:57:03.432781 : Epoch 10, Batch    403, Loss  0.871887, Average Loss  0.868702, Time  0.413126
2021-09-23 11:57:08.397304 : Epoch 10, Batch    404, Loss  0.863907, Average Loss  0.868661, Time  0.413340
2021-09-23 11:57:13.358991 : Epoch 10, Batch    405, Loss  0.865762, Average Loss  0.868637, Time  0.413118
2021-09-23 11:57:18.311997 : Epoch 10, Batch    406, Loss  0.869341, Average Loss  0.868660, Time  0.413492
2021-09-23 11:57:23.291769 : Epoch 10, Batch    407, Loss  0.880432, Average Loss  0.868713, Time  0.413156
2021-09-23 11:57:28.261494 : Epoch 10, Batch    408, Loss  0.877768, Average Loss  0.868799, Time  0.414778
2021-09-23 11:57:33.214905 : Epoch 10, Batch    409, Loss  0.879739, Average Loss  0.868869, Time  0.414196
2021-09-23 11:57:38.179781 : Epoch 10, Batch    410, Loss  0.862128, Average Loss  0.868826, Time  0.413693
2021-09-23 11:57:43.146465 : Epoch 10, Batch    411, Loss  0.868482, Average Loss  0.868789, Time  0.413565
2021-09-23 11:57:48.170840 : Epoch 10, Batch    412, Loss  0.861240, Average Loss  0.868748, Time  0.457661
2021-09-23 11:57:53.135724 : Epoch 10, Batch    413, Loss  0.876323, Average Loss  0.868748, Time  0.414045
2021-09-23 11:57:58.130062 : Epoch 10, Batch    414, Loss  0.880847, Average Loss  0.868800, Time  0.413052
2021-09-23 11:58:03.080927 : Epoch 10, Batch    415, Loss  0.884711, Average Loss  0.868809, Time  0.413478
2021-09-23 11:58:08.057028 : Epoch 10, Batch    416, Loss  0.869588, Average Loss  0.868817, Time  0.413558
2021-09-23 11:58:13.003862 : Epoch 10, Batch    417, Loss  0.858129, Average Loss  0.868798, Time  0.413147
2021-09-23 11:58:17.963061 : Epoch 10, Batch    418, Loss  0.869366, Average Loss  0.868802, Time  0.413184
2021-09-23 11:58:22.921920 : Epoch 10, Batch    419, Loss  0.865989, Average Loss  0.868749, Time  0.413417
2021-09-23 11:58:27.904111 : Epoch 10, Batch    420, Loss  0.870908, Average Loss  0.868697, Time  0.413531
2021-09-23 11:58:32.875738 : Epoch 10, Batch    421, Loss  0.862308, Average Loss  0.868689, Time  0.414224
2021-09-23 11:58:37.892158 : Epoch 10, Batch    422, Loss  0.870643, Average Loss  0.868697, Time  0.457761
2021-09-23 11:58:42.847965 : Epoch 10, Batch    423, Loss  0.862697, Average Loss  0.868689, Time  0.413743
2021-09-23 11:58:47.813011 : Epoch 10, Batch    424, Loss  0.864556, Average Loss  0.868608, Time  0.414150
2021-09-23 11:58:52.765940 : Epoch 10, Batch    425, Loss  0.875199, Average Loss  0.868586, Time  0.413305
2021-09-23 11:58:57.712918 : Epoch 10, Batch    426, Loss  0.869856, Average Loss  0.868577, Time  0.413950
2021-09-23 11:59:02.666752 : Epoch 10, Batch    427, Loss  0.861038, Average Loss  0.868519, Time  0.413270
2021-09-23 11:59:07.620928 : Epoch 10, Batch    428, Loss  0.868902, Average Loss  0.868489, Time  0.413021
2021-09-23 11:59:12.566834 : Epoch 10, Batch    429, Loss  0.856154, Average Loss  0.868468, Time  0.413364
2021-09-23 11:59:17.524136 : Epoch 10, Batch    430, Loss  0.879566, Average Loss  0.868548, Time  0.413720
2021-09-23 11:59:22.531916 : Epoch 10, Batch    431, Loss  0.852296, Average Loss  0.868396, Time  0.465609
2021-09-23 11:59:27.490694 : Epoch 10, Batch    432, Loss  0.863914, Average Loss  0.868416, Time  0.420213
2021-09-23 11:59:32.450718 : Epoch 10, Batch    433, Loss  0.859798, Average Loss  0.868428, Time  0.413266
2021-09-23 11:59:37.410209 : Epoch 10, Batch    434, Loss  0.873929, Average Loss  0.868445, Time  0.414487
2021-09-23 11:59:42.370967 : Epoch 10, Batch    435, Loss  0.875969, Average Loss  0.868487, Time  0.414127
2021-09-23 11:59:47.329897 : Epoch 10, Batch    436, Loss  0.872840, Average Loss  0.868486, Time  0.414315
2021-09-23 11:59:52.303004 : Epoch 10, Batch    437, Loss  0.878191, Average Loss  0.868513, Time  0.414317
2021-09-23 11:59:57.251973 : Epoch 10, Batch    438, Loss  0.889039, Average Loss  0.868660, Time  0.413343
2021-09-23 12:00:02.237912 : Epoch 10, Batch    439, Loss  0.883083, Average Loss  0.868732, Time  0.413537
2021-09-23 12:00:07.252044 : Epoch 10, Batch    440, Loss  0.862566, Average Loss  0.868698, Time  0.461243
2021-09-23 12:00:12.209763 : Epoch 10, Batch    441, Loss  0.852583, Average Loss  0.868675, Time  0.413270
2021-09-23 12:00:17.168804 : Epoch 10, Batch    442, Loss  0.878167, Average Loss  0.868616, Time  0.414506
2021-09-23 12:00:22.147720 : Epoch 10, Batch    443, Loss  0.868024, Average Loss  0.868613, Time  0.413775
2021-09-23 12:00:27.111886 : Epoch 10, Batch    444, Loss  0.874773, Average Loss  0.868596, Time  0.413269
2021-09-23 12:00:32.075230 : Epoch 10, Batch    445, Loss  0.871962, Average Loss  0.868619, Time  0.413460
2021-09-23 12:00:37.036983 : Epoch 10, Batch    446, Loss  0.866043, Average Loss  0.868578, Time  0.414403
2021-09-23 12:00:41.997028 : Epoch 10, Batch    447, Loss  0.879653, Average Loss  0.868668, Time  0.413910
2021-09-23 12:00:46.951961 : Epoch 10, Batch    448, Loss  0.875185, Average Loss  0.868777, Time  0.414168
2021-09-23 12:04:44.043919 : CheckPoint: Validation Loss  0.00015557, Best Loss  0.00014540
2021-09-23 12:04:49.053747 : Epoch 10, Batch    449, Loss  0.872781, Average Loss  0.868838, Time  0.461034
2021-09-23 12:04:54.035907 : Epoch 10, Batch    450, Loss  0.860143, Average Loss  0.868880, Time  0.413498
2021-09-23 12:04:59.002971 : Epoch 10, Batch    451, Loss  0.858759, Average Loss  0.868840, Time  0.413390
2021-09-23 12:05:03.995464 : Epoch 10, Batch    452, Loss  0.870889, Average Loss  0.868815, Time  0.416108
2021-09-23 12:05:09.009692 : Epoch 10, Batch    453, Loss  0.862641, Average Loss  0.868779, Time  0.420294
2021-09-23 12:05:13.977178 : Epoch 10, Batch    454, Loss  0.869850, Average Loss  0.868771, Time  0.415491
2021-09-23 12:05:18.949825 : Epoch 10, Batch    455, Loss  0.873608, Average Loss  0.868777, Time  0.414165
2021-09-23 12:05:23.913710 : Epoch 10, Batch    456, Loss  0.855426, Average Loss  0.868759, Time  0.413757
2021-09-23 12:05:28.882155 : Epoch 10, Batch    457, Loss  0.858537, Average Loss  0.868700, Time  0.413462
2021-09-23 12:05:33.907537 : Epoch 10, Batch    458, Loss  0.875498, Average Loss  0.868696, Time  0.462668
2021-09-23 12:05:38.858676 : Epoch 10, Batch    459, Loss  0.873498, Average Loss  0.868764, Time  0.414020
2021-09-23 12:05:43.826995 : Epoch 10, Batch    460, Loss  0.871309, Average Loss  0.868755, Time  0.414630
2021-09-23 12:05:48.783623 : Epoch 10, Batch    461, Loss  0.884749, Average Loss  0.868846, Time  0.413368
2021-09-23 12:05:53.741738 : Epoch 10, Batch    462, Loss  0.877460, Average Loss  0.868858, Time  0.414194
2021-09-23 12:05:58.699697 : Epoch 10, Batch    463, Loss  0.875136, Average Loss  0.868905, Time  0.413049
2021-09-23 12:06:03.639345 : Epoch 10, Batch    464, Loss  0.856408, Average Loss  0.868844, Time  0.413304
2021-09-23 12:06:08.579767 : Epoch 10, Batch    465, Loss  0.869807, Average Loss  0.868914, Time  0.413407
2021-09-23 12:06:13.534821 : Epoch 10, Batch    466, Loss  0.874707, Average Loss  0.869015, Time  0.414002
2021-09-23 12:06:18.550862 : Epoch 10, Batch    467, Loss  0.873024, Average Loss  0.869002, Time  0.458517
2021-09-23 12:06:23.514850 : Epoch 10, Batch    468, Loss  0.877560, Average Loss  0.869033, Time  0.413478
2021-09-23 12:06:28.478696 : Epoch 10, Batch    469, Loss  0.860414, Average Loss  0.868975, Time  0.415578
2021-09-23 12:06:33.426983 : Epoch 10, Batch    470, Loss  0.868195, Average Loss  0.868960, Time  0.413090
2021-09-23 12:06:38.397754 : Epoch 10, Batch    471, Loss  0.863654, Average Loss  0.868955, Time  0.413574
2021-09-23 12:06:43.367835 : Epoch 10, Batch    472, Loss  0.860244, Average Loss  0.868835, Time  0.414120
2021-09-23 12:06:48.321906 : Epoch 10, Batch    473, Loss  0.871316, Average Loss  0.868830, Time  0.413013
2021-09-23 12:06:53.295055 : Epoch 10, Batch    474, Loss  0.866845, Average Loss  0.868961, Time  0.413334
2021-09-23 12:06:58.303751 : Epoch 10, Batch    475, Loss  0.868914, Average Loss  0.868950, Time  0.413040
2021-09-23 12:07:03.317888 : Epoch 10, Batch    476, Loss  0.865560, Average Loss  0.868960, Time  0.459772
2021-09-23 12:07:08.295179 : Epoch 10, Batch    477, Loss  0.868242, Average Loss  0.868913, Time  0.413485
2021-09-23 12:07:13.264747 : Epoch 10, Batch    478, Loss  0.875689, Average Loss  0.868926, Time  0.414722
2021-09-23 12:07:18.238996 : Epoch 10, Batch    479, Loss  0.858167, Average Loss  0.868873, Time  0.414095
2021-09-23 12:07:23.196875 : Epoch 10, Batch    480, Loss  0.862988, Average Loss  0.868870, Time  0.414164
2021-09-23 12:07:28.148921 : Epoch 10, Batch    481, Loss  0.870598, Average Loss  0.868890, Time  0.413379
2021-09-23 12:07:33.116767 : Epoch 10, Batch    482, Loss  0.853678, Average Loss  0.868756, Time  0.414825
2021-09-23 12:07:38.123981 : Epoch 10, Batch    483, Loss  0.878251, Average Loss  0.868885, Time  0.413361
2021-09-23 12:07:43.087787 : Epoch 10, Batch    484, Loss  0.873504, Average Loss  0.868866, Time  0.413352
2021-09-23 12:07:48.045353 : Epoch 10, Batch    485, Loss  0.870115, Average Loss  0.868820, Time  0.414574
2021-09-23 12:07:53.084062 : Epoch 10, Batch    486, Loss  0.885720, Average Loss  0.868821, Time  0.454956
2021-09-23 12:07:58.035732 : Epoch 10, Batch    487, Loss  0.875985, Average Loss  0.868850, Time  0.413737
2021-09-23 12:08:02.999267 : Epoch 10, Batch    488, Loss  0.872232, Average Loss  0.868907, Time  0.412826
2021-09-23 12:08:07.956448 : Epoch 10, Batch    489, Loss  0.872872, Average Loss  0.868897, Time  0.412722
2021-09-23 12:08:12.913236 : Epoch 10, Batch    490, Loss  0.881861, Average Loss  0.868898, Time  0.413787
2021-09-23 12:08:17.885502 : Epoch 10, Batch    491, Loss  0.869125, Average Loss  0.868946, Time  0.414047
2021-09-23 12:08:22.838757 : Epoch 10, Batch    492, Loss  0.857669, Average Loss  0.868910, Time  0.416325
2021-09-23 12:08:27.780990 : Epoch 10, Batch    493, Loss  0.876194, Average Loss  0.869000, Time  0.414229
2021-09-23 12:08:32.741185 : Epoch 10, Batch    494, Loss  0.852420, Average Loss  0.868954, Time  0.413419
2021-09-23 12:08:37.748579 : Epoch 10, Batch    495, Loss  0.874246, Average Loss  0.868966, Time  0.454814
2021-09-23 12:08:42.712785 : Epoch 10, Batch    496, Loss  0.867334, Average Loss  0.869014, Time  0.412799
2021-09-23 12:08:47.665392 : Epoch 10, Batch    497, Loss  0.868794, Average Loss  0.868947, Time  0.413271
2021-09-23 12:08:52.637766 : Epoch 10, Batch    498, Loss  0.883531, Average Loss  0.869037, Time  0.413674
2021-09-23 12:08:57.602406 : Epoch 10, Batch    499, Loss  0.863460, Average Loss  0.869045, Time  0.413083
2021-09-23 12:09:02.554837 : Epoch 10, Batch    500, Loss  0.864508, Average Loss  0.869065, Time  0.413423
2021-09-23 12:09:07.521788 : Epoch 10, Batch    501, Loss  0.850975, Average Loss  0.869010, Time  0.413596
2021-09-23 12:09:12.471720 : Epoch 10, Batch    502, Loss  0.874324, Average Loss  0.868948, Time  0.413070
2021-09-23 12:09:17.432215 : Epoch 10, Batch    503, Loss  0.857322, Average Loss  0.868891, Time  0.414090
2021-09-23 12:09:22.441721 : Epoch 10, Batch    504, Loss  0.867980, Average Loss  0.868814, Time  0.460353
2021-09-23 12:09:27.403842 : Epoch 10, Batch    505, Loss  0.870016, Average Loss  0.868866, Time  0.414170
2021-09-23 12:09:32.356283 : Epoch 10, Batch    506, Loss  0.881264, Average Loss  0.868883, Time  0.413851
2021-09-23 12:09:37.308844 : Epoch 10, Batch    507, Loss  0.871782, Average Loss  0.868817, Time  0.413359
2021-09-23 12:09:42.281723 : Epoch 10, Batch    508, Loss  0.872102, Average Loss  0.868820, Time  0.413729
2021-09-23 12:09:47.271810 : Epoch 10, Batch    509, Loss  0.859851, Average Loss  0.868730, Time  0.413246
2021-09-23 12:09:52.222705 : Epoch 10, Batch    510, Loss  0.882459, Average Loss  0.868831, Time  0.413162
2021-09-23 12:09:57.198446 : Epoch 10, Batch    511, Loss  0.856473, Average Loss  0.868704, Time  0.413057
2021-09-23 12:10:02.184749 : Epoch 10, Batch    512, Loss  0.858712, Average Loss  0.868614, Time  0.413970
2021-09-23 12:10:07.180690 : Epoch 10, Batch    513, Loss  0.861862, Average Loss  0.868564, Time  0.412847
2021-09-23 12:10:12.180059 : Epoch 10, Batch    514, Loss  0.854345, Average Loss  0.868581, Time  0.454011
2021-09-23 12:10:17.181480 : Epoch 10, Batch    515, Loss  0.888582, Average Loss  0.868536, Time  0.413380
2021-09-23 12:10:22.131997 : Epoch 10, Batch    516, Loss  0.875291, Average Loss  0.868585, Time  0.414093
2021-09-23 12:10:27.176789 : Epoch 10, Batch    517, Loss  0.872095, Average Loss  0.868648, Time  0.413655
2021-09-23 12:10:32.134850 : Epoch 10, Batch    518, Loss  0.873999, Average Loss  0.868704, Time  0.413727
2021-09-23 12:10:37.096920 : Epoch 10, Batch    519, Loss  0.859925, Average Loss  0.868607, Time  0.415720
2021-09-23 12:10:42.059773 : Epoch 10, Batch    520, Loss  0.865844, Average Loss  0.868596, Time  0.413898
2021-09-23 12:10:47.011750 : Epoch 10, Batch    521, Loss  0.878319, Average Loss  0.868661, Time  0.413222
2021-09-23 12:10:51.971990 : Epoch 10, Batch    522, Loss  0.863878, Average Loss  0.868662, Time  0.413409
2021-09-23 12:10:56.985855 : Epoch 10, Batch    523, Loss  0.850789, Average Loss  0.868485, Time  0.459758
2021-09-23 12:11:01.954948 : Epoch 10, Batch    524, Loss  0.866979, Average Loss  0.868447, Time  0.413453
2021-09-23 12:11:06.957726 : Epoch 10, Batch    525, Loss  0.863469, Average Loss  0.868453, Time  0.413225
2021-09-23 12:11:11.914978 : Epoch 10, Batch    526, Loss  0.862750, Average Loss  0.868454, Time  0.412922
2021-09-23 12:11:16.865927 : Epoch 10, Batch    527, Loss  0.880066, Average Loss  0.868494, Time  0.412939
2021-09-23 12:11:21.810779 : Epoch 10, Batch    528, Loss  0.861583, Average Loss  0.868487, Time  0.413795
2021-09-23 12:11:26.763842 : Epoch 10, Batch    529, Loss  0.861452, Average Loss  0.868418, Time  0.414036
2021-09-23 12:11:31.728237 : Epoch 10, Batch    530, Loss  0.884660, Average Loss  0.868452, Time  0.413843
2021-09-23 12:11:36.775737 : Epoch 10, Batch    531, Loss  0.864367, Average Loss  0.868374, Time  0.414336
2021-09-23 12:11:41.838787 : Epoch 10, Batch    532, Loss  0.857872, Average Loss  0.868342, Time  0.463568
2021-09-23 12:11:46.791765 : Epoch 10, Batch    533, Loss  0.862913, Average Loss  0.868378, Time  0.413302
2021-09-23 12:11:51.798702 : Epoch 10, Batch    534, Loss  0.871231, Average Loss  0.868427, Time  0.413424
2021-09-23 12:11:56.757750 : Epoch 10, Batch    535, Loss  0.880145, Average Loss  0.868461, Time  0.414356
2021-09-23 12:12:01.709166 : Epoch 10, Batch    536, Loss  0.874099, Average Loss  0.868397, Time  0.413342
2021-09-23 12:12:06.658738 : Epoch 10, Batch    537, Loss  0.870406, Average Loss  0.868410, Time  0.416080
2021-09-23 12:12:11.628840 : Epoch 10, Batch    538, Loss  0.858028, Average Loss  0.868472, Time  0.413070
2021-09-23 12:12:16.579531 : Epoch 10, Batch    539, Loss  0.866730, Average Loss  0.868443, Time  0.412858
2021-09-23 12:12:21.520851 : Epoch 10, Batch    540, Loss  0.882293, Average Loss  0.868495, Time  0.414733
2021-09-23 12:12:26.521671 : Epoch 10, Batch    541, Loss  0.870230, Average Loss  0.868482, Time  0.466302
2021-09-23 12:12:31.480100 : Epoch 10, Batch    542, Loss  0.875950, Average Loss  0.868487, Time  0.418986
2021-09-23 12:12:36.434007 : Epoch 10, Batch    543, Loss  0.890022, Average Loss  0.868607, Time  0.414208
2021-09-23 12:12:41.392979 : Epoch 10, Batch    544, Loss  0.862903, Average Loss  0.868570, Time  0.413139
2021-09-23 12:12:46.358208 : Epoch 10, Batch    545, Loss  0.873838, Average Loss  0.868575, Time  0.414547
2021-09-23 12:12:51.316771 : Epoch 10, Batch    546, Loss  0.868971, Average Loss  0.868584, Time  0.413211
2021-09-23 12:12:56.259236 : Epoch 10, Batch    547, Loss  0.869422, Average Loss  0.868597, Time  0.413380
2021-09-23 12:13:01.202959 : Epoch 10, Batch    548, Loss  0.869388, Average Loss  0.868564, Time  0.413655
2021-09-23 12:16:58.093738 : CheckPoint: Validation Loss  0.00015331, Best Loss  0.00014540
2021-09-23 12:17:03.086382 : Epoch 10, Batch    549, Loss  0.863325, Average Loss  0.868525, Time  0.453035
2021-09-23 12:17:08.033775 : Epoch 10, Batch    550, Loss  0.873158, Average Loss  0.868542, Time  0.412965
2021-09-23 12:17:12.974138 : Epoch 10, Batch    551, Loss  0.869685, Average Loss  0.868559, Time  0.413338
2021-09-23 12:17:17.917684 : Epoch 10, Batch    552, Loss  0.862173, Average Loss  0.868552, Time  0.412915
2021-09-23 12:17:22.860718 : Epoch 10, Batch    553, Loss  0.864832, Average Loss  0.868602, Time  0.413865
2021-09-23 12:17:27.828022 : Epoch 10, Batch    554, Loss  0.870638, Average Loss  0.868710, Time  0.414145
2021-09-23 12:17:32.774748 : Epoch 10, Batch    555, Loss  0.871046, Average Loss  0.868755, Time  0.414583
2021-09-23 12:17:37.725715 : Epoch 10, Batch    556, Loss  0.860716, Average Loss  0.868656, Time  0.414087
2021-09-23 12:17:42.683732 : Epoch 10, Batch    557, Loss  0.863726, Average Loss  0.868578, Time  0.413955
2021-09-23 12:17:47.686267 : Epoch 10, Batch    558, Loss  0.872917, Average Loss  0.868642, Time  0.462794
2021-09-23 12:17:52.632714 : Epoch 10, Batch    559, Loss  0.866491, Average Loss  0.868735, Time  0.413109
2021-09-23 12:17:57.631856 : Epoch 10, Batch    560, Loss  0.866693, Average Loss  0.868709, Time  0.413742
2021-09-23 12:18:02.576695 : Epoch 10, Batch    561, Loss  0.861947, Average Loss  0.868676, Time  0.413141
2021-09-23 12:18:07.513166 : Epoch 10, Batch    562, Loss  0.859341, Average Loss  0.868573, Time  0.413051
2021-09-23 12:18:12.454684 : Epoch 10, Batch    563, Loss  0.863167, Average Loss  0.868598, Time  0.413539
2021-09-23 12:18:17.390153 : Epoch 10, Batch    564, Loss  0.860564, Average Loss  0.868558, Time  0.415191
2021-09-23 12:18:22.339002 : Epoch 10, Batch    565, Loss  0.872195, Average Loss  0.868580, Time  0.413223
2021-09-23 12:18:27.298704 : Epoch 10, Batch    566, Loss  0.870204, Average Loss  0.868640, Time  0.414204
2021-09-23 12:18:32.242782 : Epoch 10, Batch    567, Loss  0.866677, Average Loss  0.868591, Time  0.413915
2021-09-23 12:18:37.236834 : Epoch 10, Batch    568, Loss  0.865423, Average Loss  0.868612, Time  0.463310
2021-09-23 12:18:42.180764 : Epoch 10, Batch    569, Loss  0.869905, Average Loss  0.868669, Time  0.421717
2021-09-23 12:18:47.136767 : Epoch 10, Batch    570, Loss  0.868109, Average Loss  0.868590, Time  0.415752
2021-09-23 12:18:52.079701 : Epoch 10, Batch    571, Loss  0.867642, Average Loss  0.868628, Time  0.413954
2021-09-23 12:18:57.024759 : Epoch 10, Batch    572, Loss  0.858465, Average Loss  0.868624, Time  0.412978
2021-09-23 12:19:01.970004 : Epoch 10, Batch    573, Loss  0.866888, Average Loss  0.868596, Time  0.424889
2021-09-23 12:19:06.922723 : Epoch 10, Batch    574, Loss  0.861233, Average Loss  0.868474, Time  0.413163
2021-09-23 12:19:11.869731 : Epoch 10, Batch    575, Loss  0.868441, Average Loss  0.868515, Time  0.412861
2021-09-23 12:19:16.806711 : Epoch 10, Batch    576, Loss  0.858866, Average Loss  0.868459, Time  0.413356
2021-09-23 12:19:21.786801 : Epoch 10, Batch    577, Loss  0.888766, Average Loss  0.868534, Time  0.456692
2021-09-23 12:19:26.741917 : Epoch 10, Batch    578, Loss  0.856927, Average Loss  0.868494, Time  0.414258
2021-09-23 12:19:31.682792 : Epoch 10, Batch    579, Loss  0.880457, Average Loss  0.868517, Time  0.413622
2021-09-23 12:19:36.630789 : Epoch 10, Batch    580, Loss  0.864714, Average Loss  0.868415, Time  0.413875
2021-09-23 12:19:41.617758 : Epoch 10, Batch    581, Loss  0.876675, Average Loss  0.868481, Time  0.413127
2021-09-23 12:19:46.579107 : Epoch 10, Batch    582, Loss  0.873668, Average Loss  0.868591, Time  0.414356
2021-09-23 12:19:51.524813 : Epoch 10, Batch    583, Loss  0.862489, Average Loss  0.868607, Time  0.413099
2021-09-23 12:19:56.460985 : Epoch 10, Batch    584, Loss  0.867665, Average Loss  0.868573, Time  0.413188
2021-09-23 12:20:01.405433 : Epoch 10, Batch    585, Loss  0.884858, Average Loss  0.868589, Time  0.413767
2021-09-23 12:20:06.356702 : Epoch 10, Batch    586, Loss  0.873448, Average Loss  0.868631, Time  0.413038
2021-09-23 12:20:11.328569 : Epoch 10, Batch    587, Loss  0.858549, Average Loss  0.868624, Time  0.457370
2021-09-23 12:20:16.276317 : Epoch 10, Batch    588, Loss  0.882440, Average Loss  0.868754, Time  0.413445
2021-09-23 12:20:21.251725 : Epoch 10, Batch    589, Loss  0.853288, Average Loss  0.868577, Time  0.412777
2021-09-23 12:20:26.184807 : Epoch 10, Batch    590, Loss  0.875801, Average Loss  0.868579, Time  0.412996
2021-09-23 12:20:31.131736 : Epoch 10, Batch    591, Loss  0.879426, Average Loss  0.868753, Time  0.413880
2021-09-23 12:20:36.071802 : Epoch 10, Batch    592, Loss  0.858884, Average Loss  0.868789, Time  0.413553
2021-09-23 12:20:41.049807 : Epoch 10, Batch    593, Loss  0.872487, Average Loss  0.868933, Time  0.414560
2021-09-23 12:20:46.008734 : Epoch 10, Batch    594, Loss  0.854280, Average Loss  0.868802, Time  0.413596
2021-09-23 12:20:50.969758 : Epoch 10, Batch    595, Loss  0.865963, Average Loss  0.868790, Time  0.413541
2021-09-23 12:20:55.927917 : Epoch 10, Batch    596, Loss  0.873933, Average Loss  0.868826, Time  0.412941
2021-09-23 12:21:00.906709 : Epoch 10, Batch    597, Loss  0.863024, Average Loss  0.868853, Time  0.453831
2021-09-23 12:21:05.844806 : Epoch 10, Batch    598, Loss  0.870750, Average Loss  0.868872, Time  0.413075
2021-09-23 12:21:10.785163 : Epoch 10, Batch    599, Loss  0.866196, Average Loss  0.868886, Time  0.412950
2021-09-23 12:21:15.724193 : Epoch 10, Batch    600, Loss  0.859546, Average Loss  0.868890, Time  0.413234
2021-09-23 12:21:20.659052 : Epoch 10, Batch    601, Loss  0.862993, Average Loss  0.868805, Time  0.413348
2021-09-23 12:21:25.596152 : Epoch 10, Batch    602, Loss  0.868995, Average Loss  0.868791, Time  0.413970
2021-09-23 12:21:30.556990 : Epoch 10, Batch    603, Loss  0.862771, Average Loss  0.868746, Time  0.413110
2021-09-23 12:21:35.504975 : Epoch 10, Batch    604, Loss  0.859093, Average Loss  0.868722, Time  0.414343
2021-09-23 12:21:40.447801 : Epoch 10, Batch    605, Loss  0.871385, Average Loss  0.868750, Time  0.416423
2021-09-23 12:21:45.442760 : Epoch 10, Batch    606, Loss  0.866806, Average Loss  0.868737, Time  0.455037
2021-09-23 12:21:50.396757 : Epoch 10, Batch    607, Loss  0.887990, Average Loss  0.868775, Time  0.413615
2021-09-23 12:21:55.347841 : Epoch 10, Batch    608, Loss  0.872589, Average Loss  0.868749, Time  0.413017
2021-09-23 12:22:00.314728 : Epoch 10, Batch    609, Loss  0.878256, Average Loss  0.868741, Time  0.413233
2021-09-23 12:22:05.270757 : Epoch 10, Batch    610, Loss  0.848886, Average Loss  0.868675, Time  0.413152
2021-09-23 12:22:10.205710 : Epoch 10, Batch    611, Loss  0.875070, Average Loss  0.868708, Time  0.413221
2021-09-23 12:22:15.146203 : Epoch 10, Batch    612, Loss  0.862258, Average Loss  0.868713, Time  0.413738
2021-09-23 12:22:20.109725 : Epoch 10, Batch    613, Loss  0.866127, Average Loss  0.868662, Time  0.413507
2021-09-23 12:22:25.065988 : Epoch 10, Batch    614, Loss  0.866988, Average Loss  0.868593, Time  0.413693
2021-09-23 12:22:30.076947 : Epoch 10, Batch    615, Loss  0.872314, Average Loss  0.868531, Time  0.413269
2021-09-23 12:22:35.082431 : Epoch 10, Batch    616, Loss  0.887776, Average Loss  0.868622, Time  0.464740
2021-09-23 12:22:40.040726 : Epoch 10, Batch    617, Loss  0.879838, Average Loss  0.868731, Time  0.421763
2021-09-23 12:22:44.998341 : Epoch 10, Batch    618, Loss  0.871472, Average Loss  0.868741, Time  0.413957
2021-09-23 12:22:49.936629 : Epoch 10, Batch    619, Loss  0.877790, Average Loss  0.868800, Time  0.413611
2021-09-23 12:22:54.903788 : Epoch 10, Batch    620, Loss  0.874359, Average Loss  0.868817, Time  0.413970
2021-09-23 12:22:59.867736 : Epoch 10, Batch    621, Loss  0.860561, Average Loss  0.868809, Time  0.413098
2021-09-23 12:23:04.815879 : Epoch 10, Batch    622, Loss  0.884408, Average Loss  0.868877, Time  0.412919
2021-09-23 12:23:09.764755 : Epoch 10, Batch    623, Loss  0.866910, Average Loss  0.868898, Time  0.413864
2021-09-23 12:23:14.722067 : Epoch 10, Batch    624, Loss  0.870292, Average Loss  0.868927, Time  0.413824
2021-09-23 12:23:19.686480 : Epoch 10, Batch    625, Loss  0.862867, Average Loss  0.868865, Time  0.432030
2021-09-23 12:23:24.638736 : Epoch 10, Batch    626, Loss  0.861132, Average Loss  0.868822, Time  0.412989
2021-09-23 12:23:29.583722 : Epoch 10, Batch    627, Loss  0.861874, Average Loss  0.868826, Time  0.413361
2021-09-23 12:23:34.542747 : Epoch 10, Batch    628, Loss  0.869093, Average Loss  0.868827, Time  0.413083
2021-09-23 12:23:39.503705 : Epoch 10, Batch    629, Loss  0.863456, Average Loss  0.868864, Time  0.414703
2021-09-23 12:23:44.454792 : Epoch 10, Batch    630, Loss  0.872678, Average Loss  0.868829, Time  0.413472
2021-09-23 12:23:49.404540 : Epoch 10, Batch    631, Loss  0.873261, Average Loss  0.868934, Time  0.414860
2021-09-23 12:23:54.350807 : Epoch 10, Batch    632, Loss  0.864294, Average Loss  0.868936, Time  0.413644
2021-09-23 12:23:59.316265 : Epoch 10, Batch    633, Loss  0.876217, Average Loss  0.869018, Time  0.413148
2021-09-23 12:24:04.260034 : Epoch 10, Batch    634, Loss  0.870081, Average Loss  0.868999, Time  0.413104
2021-09-23 12:24:09.262725 : Epoch 10, Batch    635, Loss  0.874379, Average Loss  0.868991, Time  0.465985
2021-09-23 12:24:14.203865 : Epoch 10, Batch    636, Loss  0.864501, Average Loss  0.868949, Time  0.416379
2021-09-23 12:24:19.151956 : Epoch 10, Batch    637, Loss  0.859263, Average Loss  0.868854, Time  0.413131
2021-09-23 12:24:24.095809 : Epoch 10, Batch    638, Loss  0.878988, Average Loss  0.868804, Time  0.413517
2021-09-23 12:24:29.042971 : Epoch 10, Batch    639, Loss  0.875506, Average Loss  0.868766, Time  0.413076
2021-09-23 12:24:33.990877 : Epoch 10, Batch    640, Loss  0.862332, Average Loss  0.868765, Time  0.413559
2021-09-23 12:24:38.939272 : Epoch 10, Batch    641, Loss  0.868973, Average Loss  0.868847, Time  0.413213
2021-09-23 12:24:43.886693 : Epoch 10, Batch    642, Loss  0.880619, Average Loss  0.868859, Time  0.414383
2021-09-23 12:24:48.833808 : Epoch 10, Batch    643, Loss  0.865456, Average Loss  0.868846, Time  0.414682
2021-09-23 12:24:53.837926 : Epoch 10, Batch    644, Loss  0.867714, Average Loss  0.868811, Time  0.460313
2021-09-23 12:24:58.797743 : Epoch 10, Batch    645, Loss  0.861532, Average Loss  0.868759, Time  0.413573
2021-09-23 12:25:03.758740 : Epoch 10, Batch    646, Loss  0.894112, Average Loss  0.868899, Time  0.414824
2021-09-23 12:25:08.712005 : Epoch 10, Batch    647, Loss  0.860571, Average Loss  0.868804, Time  0.414111
2021-09-23 12:25:22.471849 : Epoch 10, Batch    648, Loss  0.881071, Average Loss  0.868833, Time  0.413635
2021-09-23 12:29:16.839040 : CheckPoint: Validation Loss  0.00015215, Best Loss  0.00014540
2021-09-23 12:29:21.785141 : Epoch 10, Batch    649, Loss  0.872466, Average Loss  0.868832, Time  0.415291
2021-09-23 12:29:26.724707 : Epoch 10, Batch    650, Loss  0.864932, Average Loss  0.868856, Time  0.413823
2021-09-23 12:29:31.783734 : Epoch 10, Batch    651, Loss  0.869540, Average Loss  0.868910, Time  0.452899
2021-09-23 12:29:36.743778 : Epoch 10, Batch    652, Loss  0.877224, Average Loss  0.868941, Time  0.415002
2021-09-23 12:29:41.691872 : Epoch 10, Batch    653, Loss  0.857895, Average Loss  0.868918, Time  0.413688
2021-09-23 12:29:46.632337 : Epoch 10, Batch    654, Loss  0.856620, Average Loss  0.868851, Time  0.413440
2021-09-23 12:29:51.584737 : Epoch 10, Batch    655, Loss  0.867212, Average Loss  0.868819, Time  0.413343
2021-09-23 12:29:56.542724 : Epoch 10, Batch    656, Loss  0.878771, Average Loss  0.868936, Time  0.413833
2021-09-23 12:30:01.484750 : Epoch 10, Batch    657, Loss  0.866228, Average Loss  0.868975, Time  0.414448
2021-09-23 12:30:06.429033 : Epoch 10, Batch    658, Loss  0.883972, Average Loss  0.869017, Time  0.413049
2021-09-23 12:30:11.363768 : Epoch 10, Batch    659, Loss  0.864806, Average Loss  0.868974, Time  0.413398
2021-09-23 12:30:16.321032 : Epoch 10, Batch    660, Loss  0.865971, Average Loss  0.868947, Time  0.423132
2021-09-23 12:30:21.300140 : Epoch 10, Batch    661, Loss  0.853003, Average Loss  0.868788, Time  0.457098
2021-09-23 12:30:26.261075 : Epoch 10, Batch    662, Loss  0.861692, Average Loss  0.868709, Time  0.413783
2021-09-23 12:30:31.199482 : Epoch 10, Batch    663, Loss  0.855840, Average Loss  0.868613, Time  0.412948
2021-09-23 12:30:36.151858 : Epoch 10, Batch    664, Loss  0.878382, Average Loss  0.868723, Time  0.414280
2021-09-23 12:30:41.129053 : Epoch 10, Batch    665, Loss  0.873610, Average Loss  0.868742, Time  0.415566
2021-09-23 12:30:46.077295 : Epoch 10, Batch    666, Loss  0.866407, Average Loss  0.868700, Time  0.413632
2021-09-23 12:30:51.015908 : Epoch 10, Batch    667, Loss  0.868902, Average Loss  0.868680, Time  0.413367
2021-09-23 12:30:55.970128 : Epoch 10, Batch    668, Loss  0.873871, Average Loss  0.868661, Time  0.413004
2021-09-23 12:31:00.950926 : Epoch 10, Batch    669, Loss  0.867497, Average Loss  0.868697, Time  0.413110
2021-09-23 12:31:05.968568 : Epoch 10, Batch    670, Loss  0.873111, Average Loss  0.868721, Time  0.462340
2021-09-23 12:31:10.929726 : Epoch 10, Batch    671, Loss  0.865830, Average Loss  0.868732, Time  0.413445
2021-09-23 12:31:15.875312 : Epoch 10, Batch    672, Loss  0.880197, Average Loss  0.868832, Time  0.413377
2021-09-23 12:31:20.813910 : Epoch 10, Batch    673, Loss  0.864194, Average Loss  0.868796, Time  0.412942
2021-09-23 12:31:25.745930 : Epoch 10, Batch    674, Loss  0.864404, Average Loss  0.868784, Time  0.413572
2021-09-23 12:31:30.682473 : Epoch 10, Batch    675, Loss  0.876689, Average Loss  0.868823, Time  0.414227
2021-09-23 12:31:35.613765 : Epoch 10, Batch    676, Loss  0.874040, Average Loss  0.868865, Time  0.413596
2021-09-23 12:31:40.557323 : Epoch 10, Batch    677, Loss  0.864589, Average Loss  0.868847, Time  0.413918
2021-09-23 12:31:45.504880 : Epoch 10, Batch    678, Loss  0.864455, Average Loss  0.868791, Time  0.414126
2021-09-23 12:31:50.494077 : Epoch 10, Batch    679, Loss  0.860690, Average Loss  0.868803, Time  0.463532
2021-09-23 12:31:55.440960 : Epoch 10, Batch    680, Loss  0.875497, Average Loss  0.868866, Time  0.421313
2021-09-23 12:32:00.394785 : Epoch 10, Batch    681, Loss  0.857692, Average Loss  0.868801, Time  0.413291
2021-09-23 12:32:05.359881 : Epoch 10, Batch    682, Loss  0.858431, Average Loss  0.868825, Time  0.413040
2021-09-23 12:32:10.289821 : Epoch 10, Batch    683, Loss  0.870561, Average Loss  0.868787, Time  0.412951
2021-09-23 12:32:15.230986 : Epoch 10, Batch    684, Loss  0.864622, Average Loss  0.868742, Time  0.413603
2021-09-23 12:32:20.164889 : Epoch 10, Batch    685, Loss  0.862784, Average Loss  0.868706, Time  0.413042
2021-09-23 12:32:25.106987 : Epoch 10, Batch    686, Loss  0.856325, Average Loss  0.868559, Time  0.413132
2021-09-23 12:32:30.049955 : Epoch 10, Batch    687, Loss  0.881154, Average Loss  0.868585, Time  0.413277
2021-09-23 12:32:34.993040 : Epoch 10, Batch    688, Loss  0.884032, Average Loss  0.868644, Time  0.413152
2021-09-23 12:32:40.012804 : Epoch 10, Batch    689, Loss  0.877640, Average Loss  0.868667, Time  0.468416
2021-09-23 12:32:44.965994 : Epoch 10, Batch    690, Loss  0.875936, Average Loss  0.868638, Time  0.420244
2021-09-23 12:32:49.915072 : Epoch 10, Batch    691, Loss  0.868200, Average Loss  0.868633, Time  0.424448
2021-09-23 12:32:54.867983 : Epoch 10, Batch    692, Loss  0.871774, Average Loss  0.868704, Time  0.413244
2021-09-23 12:32:59.822703 : Epoch 10, Batch    693, Loss  0.864630, Average Loss  0.868646, Time  0.413127
2021-09-23 12:33:04.764473 : Epoch 10, Batch    694, Loss  0.851121, Average Loss  0.868639, Time  0.412844
2021-09-23 12:33:09.697695 : Epoch 10, Batch    695, Loss  0.876772, Average Loss  0.868652, Time  0.412951
2021-09-23 12:33:14.634405 : Epoch 10, Batch    696, Loss  0.860150, Average Loss  0.868616, Time  0.413348
2021-09-23 12:33:19.572749 : Epoch 10, Batch    697, Loss  0.872924, Average Loss  0.868637, Time  0.412892
2021-09-23 12:33:24.619770 : Epoch 10, Batch    698, Loss  0.870395, Average Loss  0.868571, Time  0.451426
2021-09-23 12:33:29.565738 : Epoch 10, Batch    699, Loss  0.872941, Average Loss  0.868618, Time  0.413557
2021-09-23 12:33:34.524711 : Epoch 10, Batch    700, Loss  0.889488, Average Loss  0.868743, Time  0.413334
2021-09-23 12:33:39.480280 : Epoch 10, Batch    701, Loss  0.856757, Average Loss  0.868772, Time  0.412786
2021-09-23 12:33:44.432131 : Epoch 10, Batch    702, Loss  0.860638, Average Loss  0.868704, Time  0.415406
2021-09-23 12:33:49.387511 : Epoch 10, Batch    703, Loss  0.858454, Average Loss  0.868709, Time  0.413847
2021-09-23 12:33:54.328727 : Epoch 10, Batch    704, Loss  0.861782, Average Loss  0.868678, Time  0.413830
2021-09-23 12:33:59.267744 : Epoch 10, Batch    705, Loss  0.853286, Average Loss  0.868595, Time  0.413250
2021-09-23 12:34:04.239746 : Epoch 10, Batch    706, Loss  0.858092, Average Loss  0.868479, Time  0.414016
2021-09-23 12:34:09.208957 : Epoch 10, Batch    707, Loss  0.886213, Average Loss  0.868551, Time  0.413192
2021-09-23 12:34:14.232738 : Epoch 10, Batch    708, Loss  0.882974, Average Loss  0.868605, Time  0.463405
2021-09-23 12:34:19.176698 : Epoch 10, Batch    709, Loss  0.880494, Average Loss  0.868709, Time  0.414007
2021-09-23 12:34:24.139035 : Epoch 10, Batch    710, Loss  0.861301, Average Loss  0.868603, Time  0.420368
2021-09-23 12:34:29.079004 : Epoch 10, Batch    711, Loss  0.852900, Average Loss  0.868585, Time  0.412801
2021-09-23 12:34:34.018808 : Epoch 10, Batch    712, Loss  0.862372, Average Loss  0.868603, Time  0.413212
2021-09-23 12:34:38.970749 : Epoch 10, Batch    713, Loss  0.870801, Average Loss  0.868648, Time  0.415681
2021-09-23 12:34:43.901493 : Epoch 10, Batch    714, Loss  0.874688, Average Loss  0.868750, Time  0.413430
2021-09-23 12:34:48.838302 : Epoch 10, Batch    715, Loss  0.877072, Average Loss  0.868692, Time  0.415179
2021-09-23 12:34:53.794919 : Epoch 10, Batch    716, Loss  0.867792, Average Loss  0.868655, Time  0.416909
2021-09-23 12:34:58.775740 : Epoch 10, Batch    717, Loss  0.862713, Average Loss  0.868608, Time  0.458242
2021-09-23 12:35:03.742811 : Epoch 10, Batch    718, Loss  0.862249, Average Loss  0.868549, Time  0.416818
2021-09-23 12:35:08.678722 : Epoch 10, Batch    719, Loss  0.882834, Average Loss  0.868664, Time  0.412955
2021-09-23 12:35:13.614821 : Epoch 10, Batch    720, Loss  0.859350, Average Loss  0.868631, Time  0.413291
2021-09-23 12:35:18.543004 : Epoch 10, Batch    721, Loss  0.870966, Average Loss  0.868594, Time  0.412654
2021-09-23 12:35:23.480727 : Epoch 10, Batch    722, Loss  0.881540, Average Loss  0.868683, Time  0.413678
2021-09-23 12:35:28.467803 : Epoch 10, Batch    723, Loss  0.880382, Average Loss  0.868831, Time  0.412904
2021-09-23 12:35:33.392721 : Epoch 10, Batch    724, Loss  0.866442, Average Loss  0.868828, Time  0.413574
2021-09-23 12:35:38.345023 : Epoch 10, Batch    725, Loss  0.855654, Average Loss  0.868789, Time  0.413039
2021-09-23 12:35:43.295708 : Epoch 10, Batch    726, Loss  0.878287, Average Loss  0.868867, Time  0.413605
2021-09-23 12:35:48.303787 : Epoch 10, Batch    727, Loss  0.865621, Average Loss  0.868794, Time  0.458559
2021-09-23 12:35:53.245775 : Epoch 10, Batch    728, Loss  0.867662, Average Loss  0.868825, Time  0.413198
2021-09-23 12:35:58.175055 : Epoch 10, Batch    729, Loss  0.863653, Average Loss  0.868836, Time  0.413593
2021-09-23 12:36:03.106076 : Epoch 10, Batch    730, Loss  0.873557, Average Loss  0.868780, Time  0.413652
2021-09-23 12:36:08.053997 : Epoch 10, Batch    731, Loss  0.852261, Average Loss  0.868720, Time  0.413057
2021-09-23 12:36:13.011044 : Epoch 10, Batch    732, Loss  0.852434, Average Loss  0.868692, Time  0.413827
2021-09-23 12:36:17.956541 : Epoch 10, Batch    733, Loss  0.879803, Average Loss  0.868777, Time  0.412986
2021-09-23 12:36:22.928778 : Epoch 10, Batch    734, Loss  0.865648, Average Loss  0.868749, Time  0.418864
2021-09-23 12:36:27.879737 : Epoch 10, Batch    735, Loss  0.874418, Average Loss  0.868720, Time  0.415910
2021-09-23 12:36:32.867175 : Epoch 10, Batch    736, Loss  0.873634, Average Loss  0.868718, Time  0.450243
2021-09-23 12:36:37.801723 : Epoch 10, Batch    737, Loss  0.859981, Average Loss  0.868666, Time  0.412927
2021-09-23 12:36:42.781933 : Epoch 10, Batch    738, Loss  0.873948, Average Loss  0.868746, Time  0.413459
2021-09-23 12:36:47.809089 : Epoch 10, Batch    739, Loss  0.882327, Average Loss  0.868824, Time  0.417235
2021-09-23 12:36:52.775093 : Epoch 10, Batch    740, Loss  0.868002, Average Loss  0.868752, Time  0.413666
2021-09-23 12:36:57.778086 : Epoch 10, Batch    741, Loss  0.873012, Average Loss  0.868766, Time  0.415394
2021-09-23 12:37:02.761218 : Epoch 10, Batch    742, Loss  0.853077, Average Loss  0.868652, Time  0.417657
2021-09-23 12:37:07.718024 : Epoch 10, Batch    743, Loss  0.865987, Average Loss  0.868531, Time  0.413564
2021-09-23 12:37:12.689005 : Epoch 10, Batch    744, Loss  0.881005, Average Loss  0.868622, Time  0.413136
2021-09-23 12:37:17.685355 : Epoch 10, Batch    745, Loss  0.855424, Average Loss  0.868530, Time  0.460064
2021-09-23 12:37:22.636445 : Epoch 10, Batch    746, Loss  0.869874, Average Loss  0.868534, Time  0.413520
2021-09-23 12:37:27.583997 : Epoch 10, Batch    747, Loss  0.870905, Average Loss  0.868542, Time  0.413268
2021-09-23 12:37:32.547078 : Epoch 10, Batch    748, Loss  0.867017, Average Loss  0.868530, Time  0.422976
2021-09-23 12:41:29.666718 : CheckPoint: Validation Loss  0.00015067, Best Loss  0.00014540
2021-09-23 12:41:34.638891 : Epoch 10, Batch    749, Loss  0.863065, Average Loss  0.868529, Time  0.414501
2021-09-23 12:41:39.611008 : Epoch 10, Batch    750, Loss  0.870058, Average Loss  0.868513, Time  0.414960
2021-09-23 12:41:44.572776 : Epoch 10, Batch    751, Loss  0.865513, Average Loss  0.868492, Time  0.413813
2021-09-23 12:41:49.527484 : Epoch 10, Batch    752, Loss  0.876625, Average Loss  0.868565, Time  0.414351
2021-09-23 12:41:54.488270 : Epoch 10, Batch    753, Loss  0.877096, Average Loss  0.868626, Time  0.415512
2021-09-23 12:41:59.494241 : Epoch 10, Batch    754, Loss  0.861340, Average Loss  0.868579, Time  0.461496
2021-09-23 12:42:04.448851 : Epoch 10, Batch    755, Loss  0.866595, Average Loss  0.868557, Time  0.412910
2021-09-23 12:42:09.399230 : Epoch 10, Batch    756, Loss  0.869972, Average Loss  0.868603, Time  0.413180
2021-09-23 12:42:14.362752 : Epoch 10, Batch    757, Loss  0.853525, Average Loss  0.868552, Time  0.413150
2021-09-23 12:42:19.324730 : Epoch 10, Batch    758, Loss  0.875757, Average Loss  0.868567, Time  0.413663
2021-09-23 12:42:24.290722 : Epoch 10, Batch    759, Loss  0.858689, Average Loss  0.868528, Time  0.412919
2021-09-23 12:42:29.255749 : Epoch 10, Batch    760, Loss  0.870810, Average Loss  0.868548, Time  0.413474
2021-09-23 12:42:34.206724 : Epoch 10, Batch    761, Loss  0.865653, Average Loss  0.868567, Time  0.413900
2021-09-23 12:42:39.172801 : Epoch 10, Batch    762, Loss  0.877881, Average Loss  0.868659, Time  0.414134
2021-09-23 12:42:44.122144 : Epoch 10, Batch    763, Loss  0.889059, Average Loss  0.868789, Time  0.414253
2021-09-23 12:42:49.133823 : Epoch 10, Batch    764, Loss  0.875301, Average Loss  0.868863, Time  0.450434
2021-09-23 12:42:54.145669 : Epoch 10, Batch    765, Loss  0.872427, Average Loss  0.868864, Time  0.413621
2021-09-23 12:42:59.109380 : Epoch 10, Batch    766, Loss  0.845938, Average Loss  0.868742, Time  0.413949
2021-09-23 12:43:04.104945 : Epoch 10, Batch    767, Loss  0.864327, Average Loss  0.868731, Time  0.413117
2021-09-23 12:43:09.072133 : Epoch 10, Batch    768, Loss  0.871944, Average Loss  0.868763, Time  0.414133
2021-09-23 12:43:14.017994 : Epoch 10, Batch    769, Loss  0.888293, Average Loss  0.868855, Time  0.413000
2021-09-23 12:43:18.964242 : Epoch 10, Batch    770, Loss  0.863960, Average Loss  0.868834, Time  0.413727
2021-09-23 12:43:23.934060 : Epoch 10, Batch    771, Loss  0.881850, Average Loss  0.868905, Time  0.413745
2021-09-23 12:43:28.900031 : Epoch 10, Batch    772, Loss  0.876279, Average Loss  0.868995, Time  0.423481
2021-09-23 12:43:33.914743 : Epoch 10, Batch    773, Loss  0.875295, Average Loss  0.869037, Time  0.457899
2021-09-23 12:43:38.881763 : Epoch 10, Batch    774, Loss  0.867559, Average Loss  0.869068, Time  0.414517
2021-09-23 12:43:43.837759 : Epoch 10, Batch    775, Loss  0.881142, Average Loss  0.869132, Time  0.413997
2021-09-23 12:43:48.821750 : Epoch 10, Batch    776, Loss  0.841241, Average Loss  0.869044, Time  0.413338
2021-09-23 12:43:53.823750 : Epoch 10, Batch    777, Loss  0.867908, Average Loss  0.868939, Time  0.414145
2021-09-23 12:43:58.792731 : Epoch 10, Batch    778, Loss  0.881409, Average Loss  0.869062, Time  0.413442
2021-09-23 12:44:03.766726 : Epoch 10, Batch    779, Loss  0.878649, Average Loss  0.869053, Time  0.413710
2021-09-23 12:44:08.747991 : Epoch 10, Batch    780, Loss  0.873306, Average Loss  0.869096, Time  0.414511
2021-09-23 12:44:13.710090 : Epoch 10, Batch    781, Loss  0.877785, Average Loss  0.869101, Time  0.413279
2021-09-23 12:44:18.715343 : Epoch 10, Batch    782, Loss  0.881173, Average Loss  0.869139, Time  0.461068
2021-09-23 12:44:23.683681 : Epoch 10, Batch    783, Loss  0.871219, Average Loss  0.869182, Time  0.413054
2021-09-23 12:44:28.639707 : Epoch 10, Batch    784, Loss  0.877074, Average Loss  0.869229, Time  0.413266
2021-09-23 12:44:33.584015 : Epoch 10, Batch    785, Loss  0.853757, Average Loss  0.869074, Time  0.414227
2021-09-23 12:44:38.544044 : Epoch 10, Batch    786, Loss  0.849728, Average Loss  0.868955, Time  0.414379
2021-09-23 12:44:43.492959 : Epoch 10, Batch    787, Loss  0.865894, Average Loss  0.868992, Time  0.412927
2021-09-23 12:44:48.439922 : Epoch 10, Batch    788, Loss  0.876894, Average Loss  0.868964, Time  0.414880
2021-09-23 12:44:53.392899 : Epoch 10, Batch    789, Loss  0.878950, Average Loss  0.869093, Time  0.413716
2021-09-23 12:44:58.346871 : Epoch 10, Batch    790, Loss  0.865985, Average Loss  0.869044, Time  0.413910
2021-09-23 12:45:03.296730 : Epoch 10, Batch    791, Loss  0.877599, Average Loss  0.869034, Time  0.413534
2021-09-23 12:45:08.298817 : Epoch 10, Batch    792, Loss  0.867979, Average Loss  0.869080, Time  0.456507
2021-09-23 12:45:13.268289 : Epoch 10, Batch    793, Loss  0.866066, Average Loss  0.869048, Time  0.413223
2021-09-23 12:45:18.228762 : Epoch 10, Batch    794, Loss  0.861931, Average Loss  0.869086, Time  0.413165
2021-09-23 12:45:23.192771 : Epoch 10, Batch    795, Loss  0.893028, Average Loss  0.869221, Time  0.413397
2021-09-23 12:45:28.154015 : Epoch 10, Batch    796, Loss  0.872095, Average Loss  0.869212, Time  0.412977
2021-09-23 12:45:33.117928 : Epoch 10, Batch    797, Loss  0.876707, Average Loss  0.869281, Time  0.413143
2021-09-23 12:45:38.061762 : Epoch 10, Batch    798, Loss  0.875104, Average Loss  0.869302, Time  0.413328
2021-09-23 12:45:43.021179 : Epoch 10, Batch    799, Loss  0.871983, Average Loss  0.869331, Time  0.413004
2021-09-23 12:45:47.997980 : Epoch 10, Batch    800, Loss  0.877163, Average Loss  0.869419, Time  0.413206
2021-09-23 12:45:53.001931 : Epoch 10, Batch    801, Loss  0.881431, Average Loss  0.869512, Time  0.457014
2021-09-23 12:45:57.967296 : Epoch 10, Batch    802, Loss  0.871881, Average Loss  0.869526, Time  0.413353
2021-09-23 12:46:02.926751 : Epoch 10, Batch    803, Loss  0.868313, Average Loss  0.869554, Time  0.413760
2021-09-23 12:46:07.910723 : Epoch 10, Batch    804, Loss  0.869994, Average Loss  0.869608, Time  0.414238
2021-09-23 12:46:12.899077 : Epoch 10, Batch    805, Loss  0.869520, Average Loss  0.869599, Time  0.413907
2021-09-23 12:46:17.855726 : Epoch 10, Batch    806, Loss  0.876588, Average Loss  0.869648, Time  0.413816
2021-09-23 12:46:22.818811 : Epoch 10, Batch    807, Loss  0.871252, Average Loss  0.869564, Time  0.413351
2021-09-23 12:46:27.774836 : Epoch 10, Batch    808, Loss  0.887065, Average Loss  0.869636, Time  0.413148
2021-09-23 12:46:32.729713 : Epoch 10, Batch    809, Loss  0.855782, Average Loss  0.869524, Time  0.413419
2021-09-23 12:46:37.719855 : Epoch 10, Batch    810, Loss  0.863068, Average Loss  0.869595, Time  0.454499
2021-09-23 12:46:42.694458 : Epoch 10, Batch    811, Loss  0.880821, Average Loss  0.869624, Time  0.413094
2021-09-23 12:46:47.652758 : Epoch 10, Batch    812, Loss  0.888835, Average Loss  0.869757, Time  0.413460
2021-09-23 12:46:52.630445 : Epoch 10, Batch    813, Loss  0.871126, Average Loss  0.869782, Time  0.415710
2021-09-23 12:46:57.599020 : Epoch 10, Batch    814, Loss  0.883657, Average Loss  0.869865, Time  0.415344
2021-09-23 12:47:02.555174 : Epoch 10, Batch    815, Loss  0.864985, Average Loss  0.869828, Time  0.413567
2021-09-23 12:47:07.515774 : Epoch 10, Batch    816, Loss  0.861103, Average Loss  0.869695, Time  0.413500
2021-09-23 12:47:12.489121 : Epoch 10, Batch    817, Loss  0.865007, Average Loss  0.869621, Time  0.414015
2021-09-23 12:47:16.149261 : Epoch 10, Batch    818, Loss  0.862484, Average Loss  0.869576, Time  0.317721
2021-09-23 12:47:21.114733 : Epoch 10, Batch    819, Loss  0.857557, Average Loss  0.869475, Time  0.413080
2021-09-23 12:47:26.125815 : Epoch 10, Batch    820, Loss  0.863587, Average Loss  0.869421, Time  0.438506
2021-09-23 12:47:31.088074 : Epoch 10, Batch    821, Loss  0.868244, Average Loss  0.869459, Time  0.416559
2021-09-23 12:47:36.045817 : Epoch 10, Batch    822, Loss  0.865827, Average Loss  0.869366, Time  0.412938
2021-09-23 12:47:41.042805 : Epoch 10, Batch    823, Loss  0.865225, Average Loss  0.869358, Time  0.424547
2021-09-23 12:47:45.996177 : Epoch 10, Batch    824, Loss  0.864311, Average Loss  0.869328, Time  0.413193
2021-09-23 12:47:50.960155 : Epoch 10, Batch    825, Loss  0.861868, Average Loss  0.869323, Time  0.412965
2021-09-23 12:47:55.916747 : Epoch 10, Batch    826, Loss  0.867284, Average Loss  0.869354, Time  0.413487
2021-09-23 12:48:00.882667 : Epoch 10, Batch    827, Loss  0.885629, Average Loss  0.869473, Time  0.414180
2021-09-23 12:48:05.830903 : Epoch 10, Batch    828, Loss  0.866522, Average Loss  0.869460, Time  0.414067
2021-09-23 12:48:10.815995 : Epoch 10, Batch    829, Loss  0.869711, Average Loss  0.869491, Time  0.447945
2021-09-23 12:48:15.774351 : Epoch 10, Batch    830, Loss  0.879442, Average Loss  0.869525, Time  0.415642
2021-09-23 12:48:20.735269 : Epoch 10, Batch    831, Loss  0.870036, Average Loss  0.869509, Time  0.414238
2021-09-23 12:48:25.705499 : Epoch 10, Batch    832, Loss  0.866433, Average Loss  0.869519, Time  0.413081
2021-09-23 12:48:30.650987 : Epoch 10, Batch    833, Loss  0.864940, Average Loss  0.869463, Time  0.412944
2021-09-23 12:48:35.592890 : Epoch 10, Batch    834, Loss  0.864127, Average Loss  0.869433, Time  0.412800
2021-09-23 12:48:40.562737 : Epoch 10, Batch    835, Loss  0.872179, Average Loss  0.869422, Time  0.415920
2021-09-23 12:48:45.518987 : Epoch 10, Batch    836, Loss  0.855549, Average Loss  0.869377, Time  0.413447
2021-09-23 12:48:50.460972 : Epoch 10, Batch    837, Loss  0.870963, Average Loss  0.869436, Time  0.413975
2021-09-23 12:48:55.409927 : Epoch 10, Batch    838, Loss  0.868075, Average Loss  0.869381, Time  0.413431
2021-09-23 12:49:00.445709 : Epoch 10, Batch    839, Loss  0.872855, Average Loss  0.869368, Time  0.458961
2021-09-23 12:49:05.408816 : Epoch 10, Batch    840, Loss  0.867607, Average Loss  0.869395, Time  0.414254
2021-09-23 12:49:10.424311 : Epoch 10, Batch    841, Loss  0.878055, Average Loss  0.869440, Time  0.414088
2021-09-23 12:49:15.389778 : Epoch 10, Batch    842, Loss  0.859080, Average Loss  0.869332, Time  0.416835
2021-09-23 12:49:20.362726 : Epoch 10, Batch    843, Loss  0.874939, Average Loss  0.869380, Time  0.413857
2021-09-23 12:49:25.352939 : Epoch 10, Batch    844, Loss  0.883771, Average Loss  0.869460, Time  0.413666
2021-09-23 12:49:30.310748 : Epoch 10, Batch    845, Loss  0.857568, Average Loss  0.869440, Time  0.412801
2021-09-23 12:49:35.274797 : Epoch 10, Batch    846, Loss  0.896151, Average Loss  0.869450, Time  0.414427
2021-09-23 12:49:40.205875 : Epoch 10, Batch    847, Loss  0.883875, Average Loss  0.869567, Time  0.413066
2021-09-23 12:49:45.203706 : Epoch 10, Batch    848, Loss  0.862088, Average Loss  0.869472, Time  0.450596
2021-09-23 12:53:42.058731 : CheckPoint: Validation Loss  0.00015062, Best Loss  0.00014540
2021-09-23 12:53:47.018093 : Epoch 10, Batch    849, Loss  0.873745, Average Loss  0.869478, Time  0.419029
2021-09-23 12:53:51.993857 : Epoch 10, Batch    850, Loss  0.855014, Average Loss  0.869429, Time  0.414046
2021-09-23 12:53:56.957763 : Epoch 10, Batch    851, Loss  0.866780, Average Loss  0.869415, Time  0.414211
2021-09-23 12:54:01.916166 : Epoch 10, Batch    852, Loss  0.854743, Average Loss  0.869303, Time  0.413851
2021-09-23 12:54:06.897178 : Epoch 10, Batch    853, Loss  0.873879, Average Loss  0.869382, Time  0.417800
2021-09-23 12:54:11.858997 : Epoch 10, Batch    854, Loss  0.862675, Average Loss  0.869413, Time  0.413927
2021-09-23 12:54:16.813035 : Epoch 10, Batch    855, Loss  0.870655, Average Loss  0.869430, Time  0.413133
2021-09-23 12:54:21.785123 : Epoch 10, Batch    856, Loss  0.887356, Average Loss  0.869473, Time  0.412818
2021-09-23 12:54:26.784114 : Epoch 10, Batch    857, Loss  0.867491, Average Loss  0.869479, Time  0.466432
2021-09-23 12:54:31.750766 : Epoch 10, Batch    858, Loss  0.878092, Average Loss  0.869450, Time  0.420098
2021-09-23 12:54:36.710716 : Epoch 10, Batch    859, Loss  0.880895, Average Loss  0.869530, Time  0.413182
2021-09-23 12:54:41.654028 : Epoch 10, Batch    860, Loss  0.864611, Average Loss  0.869523, Time  0.412801
2021-09-23 12:54:46.622672 : Epoch 10, Batch    861, Loss  0.882140, Average Loss  0.869669, Time  0.414258
2021-09-23 12:54:51.582081 : Epoch 10, Batch    862, Loss  0.863672, Average Loss  0.869679, Time  0.414093
2021-09-23 12:54:56.550735 : Epoch 10, Batch    863, Loss  0.873946, Average Loss  0.869770, Time  0.413255
2021-09-23 12:55:01.516581 : Epoch 10, Batch    864, Loss  0.864181, Average Loss  0.869699, Time  0.416639
2021-09-23 12:55:06.477550 : Epoch 10, Batch    865, Loss  0.864666, Average Loss  0.869654, Time  0.413462
2021-09-23 12:55:11.434779 : Epoch 10, Batch    866, Loss  0.855387, Average Loss  0.869599, Time  0.413617
2021-09-23 12:55:16.454720 : Epoch 10, Batch    867, Loss  0.860709, Average Loss  0.869558, Time  0.450504
2021-09-23 12:55:21.436707 : Epoch 10, Batch    868, Loss  0.863060, Average Loss  0.869504, Time  0.413657
2021-09-23 12:55:26.391754 : Epoch 10, Batch    869, Loss  0.870791, Average Loss  0.869520, Time  0.412715
2021-09-23 12:55:31.343807 : Epoch 10, Batch    870, Loss  0.866715, Average Loss  0.869488, Time  0.415721
2021-09-23 12:55:36.288176 : Epoch 10, Batch    871, Loss  0.872320, Average Loss  0.869521, Time  0.413377
2021-09-23 12:55:41.264762 : Epoch 10, Batch    872, Loss  0.875235, Average Loss  0.869496, Time  0.416072
2021-09-23 12:55:46.233238 : Epoch 10, Batch    873, Loss  0.858839, Average Loss  0.869469, Time  0.415444
2021-09-23 12:55:51.208811 : Epoch 10, Batch    874, Loss  0.876393, Average Loss  0.869529, Time  0.414245
2021-09-23 12:55:56.179996 : Epoch 10, Batch    875, Loss  0.867956, Average Loss  0.869485, Time  0.414128
2021-09-23 12:56:01.181751 : Epoch 10, Batch    876, Loss  0.868806, Average Loss  0.869459, Time  0.453273
2021-09-23 12:56:06.151723 : Epoch 10, Batch    877, Loss  0.874312, Average Loss  0.869508, Time  0.413135
2021-09-23 12:56:11.114708 : Epoch 10, Batch    878, Loss  0.858581, Average Loss  0.869478, Time  0.415174
2021-09-23 12:56:16.109734 : Epoch 10, Batch    879, Loss  0.873388, Average Loss  0.869542, Time  0.415841
2021-09-23 12:56:21.081204 : Epoch 10, Batch    880, Loss  0.862435, Average Loss  0.869477, Time  0.413540
2021-09-23 12:56:26.042385 : Epoch 10, Batch    881, Loss  0.851912, Average Loss  0.869448, Time  0.412960
2021-09-23 12:56:31.003072 : Epoch 10, Batch    882, Loss  0.863630, Average Loss  0.869474, Time  0.413273
2021-09-23 12:56:35.965130 : Epoch 10, Batch    883, Loss  0.871520, Average Loss  0.869478, Time  0.413238
2021-09-23 12:56:40.934821 : Epoch 10, Batch    884, Loss  0.869408, Average Loss  0.869502, Time  0.416041
2021-09-23 12:56:45.942010 : Epoch 10, Batch    885, Loss  0.873642, Average Loss  0.869557, Time  0.456438
2021-09-23 12:56:50.903948 : Epoch 10, Batch    886, Loss  0.857431, Average Loss  0.869562, Time  0.413813
2021-09-23 12:56:55.893876 : Epoch 10, Batch    887, Loss  0.873692, Average Loss  0.869525, Time  0.413157
2021-09-23 12:57:00.853979 : Epoch 10, Batch    888, Loss  0.875502, Average Loss  0.869482, Time  0.414158
2021-09-23 12:57:05.822782 : Epoch 10, Batch    889, Loss  0.862734, Average Loss  0.869408, Time  0.414089
2021-09-23 12:57:10.768726 : Epoch 10, Batch    890, Loss  0.894686, Average Loss  0.869501, Time  0.417238
2021-09-23 12:57:15.745978 : Epoch 10, Batch    891, Loss  0.869041, Average Loss  0.869506, Time  0.413611
2021-09-23 12:57:20.712060 : Epoch 10, Batch    892, Loss  0.865258, Average Loss  0.869473, Time  0.414109
2021-09-23 12:57:25.668496 : Epoch 10, Batch    893, Loss  0.850567, Average Loss  0.869403, Time  0.413304
2021-09-23 12:57:30.657255 : Epoch 10, Batch    894, Loss  0.857963, Average Loss  0.869437, Time  0.453318
2021-09-23 12:57:35.601693 : Epoch 10, Batch    895, Loss  0.852322, Average Loss  0.869315, Time  0.413780
2021-09-23 12:57:40.550005 : Epoch 10, Batch    896, Loss  0.870097, Average Loss  0.869364, Time  0.413060
2021-09-23 12:57:45.509699 : Epoch 10, Batch    897, Loss  0.859654, Average Loss  0.869298, Time  0.413133
2021-09-23 12:57:50.471736 : Epoch 10, Batch    898, Loss  0.885357, Average Loss  0.869373, Time  0.414772
2021-09-23 12:57:55.445769 : Epoch 10, Batch    899, Loss  0.882948, Average Loss  0.869423, Time  0.416923
2021-09-23 12:58:00.422749 : Epoch 10, Batch    900, Loss  0.848048, Average Loss  0.869216, Time  0.414408
2021-09-23 12:58:05.384041 : Epoch 10, Batch    901, Loss  0.865664, Average Loss  0.869260, Time  0.413770
2021-09-23 12:58:10.340061 : Epoch 10, Batch    902, Loss  0.876535, Average Loss  0.869340, Time  0.413795
2021-09-23 12:58:15.297987 : Epoch 10, Batch    903, Loss  0.877335, Average Loss  0.869434, Time  0.414062
2021-09-23 12:58:20.326015 : Epoch 10, Batch    904, Loss  0.870866, Average Loss  0.869480, Time  0.462157
2021-09-23 12:58:25.282689 : Epoch 10, Batch    905, Loss  0.874650, Average Loss  0.869586, Time  0.415158
2021-09-23 12:58:30.235138 : Epoch 10, Batch    906, Loss  0.868996, Average Loss  0.869641, Time  0.413183
2021-09-23 12:58:35.193903 : Epoch 10, Batch    907, Loss  0.874025, Average Loss  0.869580, Time  0.412880
2021-09-23 12:58:40.163054 : Epoch 10, Batch    908, Loss  0.862785, Average Loss  0.869479, Time  0.413524
2021-09-23 12:58:45.124352 : Epoch 10, Batch    909, Loss  0.863863, Average Loss  0.869396, Time  0.413181
2021-09-23 12:58:50.085080 : Epoch 10, Batch    910, Loss  0.877235, Average Loss  0.869476, Time  0.413108
2021-09-23 12:58:55.050722 : Epoch 10, Batch    911, Loss  0.860286, Average Loss  0.869513, Time  0.414526
2021-09-23 12:59:00.012031 : Epoch 10, Batch    912, Loss  0.870437, Average Loss  0.869553, Time  0.414102
2021-09-23 12:59:05.022819 : Epoch 10, Batch    913, Loss  0.867975, Average Loss  0.869539, Time  0.460587
2021-09-23 12:59:09.981037 : Epoch 10, Batch    914, Loss  0.859659, Average Loss  0.869464, Time  0.414143
2021-09-23 12:59:14.946751 : Epoch 10, Batch    915, Loss  0.875619, Average Loss  0.869456, Time  0.413418
2021-09-23 12:59:19.888959 : Epoch 10, Batch    916, Loss  0.881438, Average Loss  0.869525, Time  0.414487
2021-09-23 12:59:24.845723 : Epoch 10, Batch    917, Loss  0.871606, Average Loss  0.869569, Time  0.413243
2021-09-23 12:59:29.794891 : Epoch 10, Batch    918, Loss  0.869339, Average Loss  0.869604, Time  0.416944
2021-09-23 12:59:34.742861 : Epoch 10, Batch    919, Loss  0.864446, Average Loss  0.869512, Time  0.412960
2021-09-23 12:59:39.694181 : Epoch 10, Batch    920, Loss  0.876780, Average Loss  0.869600, Time  0.414562
2021-09-23 12:59:44.643731 : Epoch 10, Batch    921, Loss  0.858796, Average Loss  0.869539, Time  0.412938
2021-09-23 12:59:49.599705 : Epoch 10, Batch    922, Loss  0.855890, Average Loss  0.869411, Time  0.413496
2021-09-23 12:59:54.595725 : Epoch 10, Batch    923, Loss  0.868964, Average Loss  0.869353, Time  0.456182
2021-09-23 12:59:59.553297 : Epoch 10, Batch    924, Loss  0.853874, Average Loss  0.869291, Time  0.413056
2021-09-23 13:00:04.518725 : Epoch 10, Batch    925, Loss  0.872551, Average Loss  0.869375, Time  0.414351
2021-09-23 13:00:09.518743 : Epoch 10, Batch    926, Loss  0.868920, Average Loss  0.869328, Time  0.413338
2021-09-23 13:00:14.488999 : Epoch 10, Batch    927, Loss  0.870753, Average Loss  0.869354, Time  0.413996
2021-09-23 13:00:19.442992 : Epoch 10, Batch    928, Loss  0.860617, Average Loss  0.869319, Time  0.413752
2021-09-23 13:00:19.478415 : Saving Model after 10-th Epoch.
2021-09-23 13:00:20.212432 : Epoch Finished.
2021-09-23 23:37:22.304533 : Building dataset train from orignial text documents
2021-09-23 23:38:26.681803 : Building dataset train from orignial text documents
2021-09-23 23:40:17.059811 : Building dataset train from orignial text documents
2021-09-23 23:41:41.741377 : Finish Loading dataset train
2021-09-23 23:41:41.784339 : Data Shuffle
2021-09-23 23:41:41.822560 : Start Shuffling
2021-09-23 23:41:43.154682 : Finish Shuffling
2021-09-23 23:41:43.264752 : Generate Batch
2021-09-23 23:41:43.624152 : Building dataset valid from orignial text documents
2021-09-23 23:41:52.679163 : Finish Loading dataset valid
2021-09-23 23:41:52.720077 : Data Shuffle
2021-09-23 23:41:52.771144 : Start Shuffling
2021-09-23 23:41:52.882340 : Finish Shuffling
2021-09-23 23:41:52.949656 : Generate Batch
2021-09-23 23:41:53.016891 : There are 928 batches per epoch
2021-09-23 23:41:53.060089 : Batch Shuffled
2021-09-23 23:41:59.286972 : Epoch  1, Batch      1, Loss  1.860271, Average Loss  1.860271, Time  0.656307
2021-09-23 23:42:05.313885 : Epoch  1, Batch      2, Loss  1.863739, Average Loss  1.862005, Time  0.460740
2021-09-23 23:42:11.320304 : Epoch  1, Batch      3, Loss  1.862734, Average Loss  1.862248, Time  0.451010
2021-09-23 23:42:17.334927 : Epoch  1, Batch      4, Loss  1.861746, Average Loss  1.862123, Time  0.440692
2021-09-23 23:42:23.328527 : Epoch  1, Batch      5, Loss  1.853283, Average Loss  1.860355, Time  0.443245
2021-09-23 23:42:29.306387 : Epoch  1, Batch      6, Loss  1.849846, Average Loss  1.858603, Time  0.443459
2021-09-23 23:42:35.300605 : Epoch  1, Batch      7, Loss  1.846423, Average Loss  1.856863, Time  0.441195
2021-09-23 23:42:41.320477 : Epoch  1, Batch      8, Loss  1.838149, Average Loss  1.854524, Time  0.444854
2021-09-23 23:42:47.320935 : Epoch  1, Batch      9, Loss  1.835091, Average Loss  1.852365, Time  0.451319
2021-09-23 23:42:53.310087 : Epoch  1, Batch     10, Loss  1.825092, Average Loss  1.849638, Time  0.442340
2021-09-23 23:42:59.297424 : Epoch  1, Batch     11, Loss  1.828220, Average Loss  1.847690, Time  0.442153
2021-09-23 23:43:05.270644 : Epoch  1, Batch     12, Loss  1.816033, Average Loss  1.845052, Time  0.441446
2021-09-23 23:43:11.268235 : Epoch  1, Batch     13, Loss  1.807176, Average Loss  1.842139, Time  0.442733
2021-09-23 23:43:17.271372 : Epoch  1, Batch     14, Loss  1.795136, Average Loss  1.838781, Time  0.440819
2021-09-23 23:43:23.277275 : Epoch  1, Batch     15, Loss  1.792036, Average Loss  1.835665, Time  0.441691
2021-09-23 23:43:29.269801 : Epoch  1, Batch     16, Loss  1.774640, Average Loss  1.831851, Time  0.443964
2021-09-23 23:43:34.903600 : Finish Loading dataset train
2021-09-23 23:43:34.939178 : Data Shuffle
2021-09-23 23:43:35.002647 : Start Shuffling
2021-09-23 23:43:35.297100 : Epoch  1, Batch     17, Loss  1.767562, Average Loss  1.828069, Time  0.456700
2021-09-23 23:43:36.366390 : Finish Shuffling
2021-09-23 23:43:36.462102 : Generate Batch
2021-09-23 23:43:36.825674 : Building dataset valid from orignial text documents
2021-09-23 23:43:41.298340 : Epoch  1, Batch     18, Loss  1.765025, Average Loss  1.824567, Time  0.441755
2021-09-23 23:43:45.963661 : Finish Loading dataset valid
2021-09-23 23:43:46.003557 : Data Shuffle
2021-09-23 23:43:46.044467 : Start Shuffling
2021-09-23 23:43:46.144470 : Finish Shuffling
2021-09-23 23:43:46.186544 : Generate Batch
2021-09-23 23:43:46.269369 : There are 928 batches per epoch
2021-09-23 23:43:46.306279 : Batch Shuffled
2021-09-23 23:43:47.300092 : Epoch  1, Batch     19, Loss  1.753254, Average Loss  1.820814, Time  0.442985
2021-09-23 23:43:52.500619 : Epoch  1, Batch      1, Loss  1.917434, Average Loss  1.917434, Time  0.656898
2021-09-23 23:43:53.285031 : Epoch  1, Batch     20, Loss  1.750683, Average Loss  1.817307, Time  0.443090
2021-09-23 23:43:58.586702 : Epoch  1, Batch      2, Loss  1.921575, Average Loss  1.919504, Time  0.469356
2021-09-23 23:43:59.258619 : Epoch  1, Batch     21, Loss  1.731656, Average Loss  1.813228, Time  0.442249
2021-09-23 23:44:04.615226 : Epoch  1, Batch      3, Loss  1.921171, Average Loss  1.920060, Time  0.448175
2021-09-23 23:44:05.258619 : Epoch  1, Batch     22, Loss  1.732677, Average Loss  1.809567, Time  0.445923
2021-09-23 23:44:10.655947 : Epoch  1, Batch      4, Loss  1.910308, Average Loss  1.917622, Time  0.447825
2021-09-23 23:44:11.238845 : Epoch  1, Batch     23, Loss  1.727351, Average Loss  1.805992, Time  0.440370
2021-09-23 23:44:16.689304 : Epoch  1, Batch      5, Loss  1.917527, Average Loss  1.917603, Time  0.448866
2021-09-23 23:44:17.245813 : Epoch  1, Batch     24, Loss  1.720572, Average Loss  1.802433, Time  0.450727
2021-09-23 23:44:22.746493 : Epoch  1, Batch      6, Loss  1.909902, Average Loss  1.916319, Time  0.445282
2021-09-23 23:44:23.217229 : Epoch  1, Batch     25, Loss  1.706645, Average Loss  1.798602, Time  0.441694
2021-09-23 23:44:28.820315 : Epoch  1, Batch      7, Loss  1.906733, Average Loss  1.914950, Time  0.449299
2021-09-23 23:44:29.175539 : Epoch  1, Batch     26, Loss  1.705972, Average Loss  1.795039, Time  0.441985
2021-09-23 23:44:34.877884 : Epoch  1, Batch      8, Loss  1.902266, Average Loss  1.913364, Time  0.450381
2021-09-23 23:44:35.139976 : Epoch  1, Batch     27, Loss  1.707392, Average Loss  1.791793, Time  0.443256
2021-09-23 23:44:40.955898 : Epoch  1, Batch      9, Loss  1.898114, Average Loss  1.911670, Time  0.457329
2021-09-23 23:44:41.116415 : Epoch  1, Batch     28, Loss  1.700933, Average Loss  1.788548, Time  0.451296
2021-09-23 23:44:47.026547 : Epoch  1, Batch     10, Loss  1.886539, Average Loss  1.909157, Time  0.447600
2021-09-23 23:44:47.078142 : Epoch  1, Batch     29, Loss  1.707523, Average Loss  1.785754, Time  0.441790
2021-09-23 23:44:53.039581 : Epoch  1, Batch     30, Loss  1.699434, Average Loss  1.782877, Time  0.441117
2021-09-23 23:44:53.079897 : Epoch  1, Batch     11, Loss  1.877924, Average Loss  1.906317, Time  0.447074
2021-09-23 23:44:59.017884 : Epoch  1, Batch     31, Loss  1.687967, Average Loss  1.779815, Time  0.441162
2021-09-23 23:44:59.119330 : Epoch  1, Batch     12, Loss  1.869802, Average Loss  1.903274, Time  0.449617
2021-09-23 23:45:05.011258 : Epoch  1, Batch     32, Loss  1.694560, Average Loss  1.777151, Time  0.452717
2021-09-23 23:45:05.140787 : Epoch  1, Batch     13, Loss  1.855592, Average Loss  1.899607, Time  0.447495
2021-09-23 23:45:10.987094 : Epoch  1, Batch     33, Loss  1.678932, Average Loss  1.774174, Time  0.446153
2021-09-23 23:45:11.174753 : Epoch  1, Batch     14, Loss  1.846679, Average Loss  1.895826, Time  0.448446
2021-09-23 23:45:16.968144 : Epoch  1, Batch     34, Loss  1.685910, Average Loss  1.771578, Time  0.443630
2021-09-23 23:45:17.212430 : Epoch  1, Batch     15, Loss  1.836621, Average Loss  1.891879, Time  0.444373
2021-09-23 23:45:22.923001 : Epoch  1, Batch     35, Loss  1.689801, Average Loss  1.769242, Time  0.441566
2021-09-23 23:45:23.257438 : Epoch  1, Batch     16, Loss  1.825838, Average Loss  1.887751, Time  0.449142
2021-09-23 23:45:28.900919 : Epoch  1, Batch     36, Loss  1.680558, Average Loss  1.766778, Time  0.446991
2021-09-23 23:45:29.325550 : Epoch  1, Batch     17, Loss  1.811013, Average Loss  1.883237, Time  0.463190
2021-09-23 23:45:34.873974 : Epoch  1, Batch     37, Loss  1.683670, Average Loss  1.764532, Time  0.440467
2021-09-23 23:45:35.364264 : Epoch  1, Batch     18, Loss  1.798420, Average Loss  1.878525, Time  0.445310
2021-09-23 23:45:40.853857 : Epoch  1, Batch     38, Loss  1.674976, Average Loss  1.762176, Time  0.440636
2021-09-23 23:45:41.412872 : Epoch  1, Batch     19, Loss  1.789970, Average Loss  1.873865, Time  0.446295
2021-09-23 23:45:46.847759 : Epoch  1, Batch     39, Loss  1.676052, Average Loss  1.759967, Time  0.449162
2021-09-23 23:45:47.473290 : Epoch  1, Batch     20, Loss  1.775327, Average Loss  1.868938, Time  0.446303
2021-09-23 23:45:52.828875 : Epoch  1, Batch     40, Loss  1.671088, Average Loss  1.757745, Time  0.441400
2021-09-23 23:45:53.533803 : Epoch  1, Batch     21, Loss  1.762912, Average Loss  1.863889, Time  0.444130
2021-09-23 23:45:58.807245 : Epoch  1, Batch     41, Loss  1.666133, Average Loss  1.755511, Time  0.441028
2021-09-23 23:45:59.578477 : Epoch  1, Batch     22, Loss  1.758448, Average Loss  1.859096, Time  0.444466
2021-09-23 23:46:04.779822 : Epoch  1, Batch     42, Loss  1.673760, Average Loss  1.753564, Time  0.443267
2021-09-23 23:46:05.621920 : Epoch  1, Batch     23, Loss  1.751471, Average Loss  1.854417, Time  0.448131
2021-09-23 23:46:10.764862 : Epoch  1, Batch     43, Loss  1.665187, Average Loss  1.751509, Time  0.440585
2021-09-23 23:46:11.693864 : Epoch  1, Batch     24, Loss  1.736712, Average Loss  1.849512, Time  0.457488
2021-09-23 23:46:16.759343 : Epoch  1, Batch     44, Loss  1.663329, Average Loss  1.749505, Time  0.441180
2021-09-23 23:46:17.741808 : Epoch  1, Batch     25, Loss  1.728838, Average Loss  1.844685, Time  0.447696
2021-09-23 23:46:22.755339 : Epoch  1, Batch     45, Loss  1.670362, Average Loss  1.747746, Time  0.442485
2021-09-23 23:46:23.800645 : Epoch  1, Batch     26, Loss  1.718159, Average Loss  1.839819, Time  0.446929
2021-09-23 23:46:28.757869 : Epoch  1, Batch     46, Loss  1.669020, Average Loss  1.746035, Time  0.448241
2021-09-23 23:46:29.861874 : Epoch  1, Batch     27, Loss  1.713914, Average Loss  1.835156, Time  0.449236
2021-09-23 23:46:34.761851 : Epoch  1, Batch     47, Loss  1.657204, Average Loss  1.744145, Time  0.457123
2021-09-23 23:46:35.907719 : Epoch  1, Batch     28, Loss  1.700405, Average Loss  1.830343, Time  0.448262
2021-09-23 23:46:40.737943 : Epoch  1, Batch     48, Loss  1.674724, Average Loss  1.742699, Time  0.445830
2021-09-23 23:46:41.940055 : Epoch  1, Batch     29, Loss  1.705186, Average Loss  1.826028, Time  0.445086
2021-09-23 23:46:46.740220 : Epoch  1, Batch     49, Loss  1.644863, Average Loss  1.740702, Time  0.441920
2021-09-23 23:46:47.980998 : Epoch  1, Batch     30, Loss  1.688926, Average Loss  1.821458, Time  0.447831
2021-09-23 23:46:52.740271 : Epoch  1, Batch     50, Loss  1.666679, Average Loss  1.739221, Time  0.445946
2021-09-23 23:46:54.044057 : Epoch  1, Batch     31, Loss  1.695142, Average Loss  1.817383, Time  0.446106
2021-09-23 23:46:58.729298 : Epoch  1, Batch     51, Loss  1.666403, Average Loss  1.737794, Time  0.440218
2021-09-23 23:47:00.116130 : Epoch  1, Batch     32, Loss  1.701752, Average Loss  1.813769, Time  0.462656
2021-09-23 23:47:04.713514 : Epoch  1, Batch     52, Loss  1.659578, Average Loss  1.736289, Time  0.443956
2021-09-23 23:47:06.168089 : Epoch  1, Batch     33, Loss  1.699837, Average Loss  1.810317, Time  0.444944
2021-09-23 23:47:10.691918 : Epoch  1, Batch     53, Loss  1.651506, Average Loss  1.734690, Time  0.444001
2021-09-23 23:47:12.216004 : Epoch  1, Batch     34, Loss  1.694171, Average Loss  1.806901, Time  0.445483
2021-09-23 23:47:16.675740 : Epoch  1, Batch     54, Loss  1.664412, Average Loss  1.733388, Time  0.439854
2021-09-23 23:47:18.259771 : Epoch  1, Batch     35, Loss  1.680879, Average Loss  1.803300, Time  0.444285
2021-09-23 23:47:22.673323 : Epoch  1, Batch     55, Loss  1.657638, Average Loss  1.732011, Time  0.457012
2021-09-23 23:47:24.305856 : Epoch  1, Batch     36, Loss  1.678062, Average Loss  1.799821, Time  0.444770
2021-09-23 23:47:28.648860 : Epoch  1, Batch     56, Loss  1.669401, Average Loss  1.730893, Time  0.442940
2021-09-23 23:47:30.359879 : Epoch  1, Batch     37, Loss  1.687475, Average Loss  1.796785, Time  0.446410
2021-09-23 23:47:34.629917 : Epoch  1, Batch     57, Loss  1.664307, Average Loss  1.729725, Time  0.439573
2021-09-23 23:47:36.413763 : Epoch  1, Batch     38, Loss  1.696551, Average Loss  1.794147, Time  0.450935
2021-09-23 23:47:40.601996 : Epoch  1, Batch     58, Loss  1.662764, Average Loss  1.728570, Time  0.441862
2021-09-23 23:47:42.463084 : Epoch  1, Batch     39, Loss  1.677419, Average Loss  1.791154, Time  0.454515
2021-09-23 23:47:46.561940 : Epoch  1, Batch     59, Loss  1.655216, Average Loss  1.727327, Time  0.439967
2021-09-23 23:47:48.504922 : Epoch  1, Batch     40, Loss  1.664596, Average Loss  1.787990, Time  0.446429
2021-09-23 23:47:52.537290 : Epoch  1, Batch     60, Loss  1.659558, Average Loss  1.726198, Time  0.443087
2021-09-23 23:47:54.533194 : Epoch  1, Batch     41, Loss  1.688600, Average Loss  1.785566, Time  0.444261
2021-09-23 23:47:58.507242 : Epoch  1, Batch     61, Loss  1.662282, Average Loss  1.725150, Time  0.444670
2021-09-23 23:48:00.581866 : Epoch  1, Batch     42, Loss  1.676337, Average Loss  1.782965, Time  0.445833
2021-09-23 23:48:04.516518 : Epoch  1, Batch     62, Loss  1.650977, Average Loss  1.723953, Time  0.446169
2021-09-23 23:48:06.630761 : Epoch  1, Batch     43, Loss  1.673393, Average Loss  1.780417, Time  0.446389
2021-09-23 23:48:10.515947 : Epoch  1, Batch     63, Loss  1.656240, Average Loss  1.722879, Time  0.456592
2021-09-23 23:48:12.672482 : Epoch  1, Batch     44, Loss  1.665312, Average Loss  1.777801, Time  0.444704
2021-09-23 23:48:16.507270 : Epoch  1, Batch     64, Loss  1.656219, Average Loss  1.721837, Time  0.443640
2021-09-23 23:48:18.744998 : Epoch  1, Batch     45, Loss  1.669793, Average Loss  1.775401, Time  0.450135
2021-09-23 23:48:22.494454 : Epoch  1, Batch     65, Loss  1.657366, Average Loss  1.720845, Time  0.442885
2021-09-23 23:48:24.818334 : Epoch  1, Batch     46, Loss  1.669622, Average Loss  1.773101, Time  0.448031
2021-09-23 23:48:28.484313 : Epoch  1, Batch     66, Loss  1.664514, Average Loss  1.719992, Time  0.441094
2021-09-23 23:48:30.905968 : Epoch  1, Batch     47, Loss  1.670169, Average Loss  1.770911, Time  0.459075
2021-09-23 23:48:34.458638 : Epoch  1, Batch     67, Loss  1.662045, Average Loss  1.719127, Time  0.440989
2021-09-23 23:48:36.971980 : Epoch  1, Batch     48, Loss  1.671312, Average Loss  1.768836, Time  0.448145
2021-09-23 23:48:40.428870 : Epoch  1, Batch     68, Loss  1.665062, Average Loss  1.718332, Time  0.440160
2021-09-23 23:48:43.050597 : Epoch  1, Batch     49, Loss  1.660765, Average Loss  1.766631, Time  0.446331
2021-09-23 23:48:46.421909 : Epoch  1, Batch     69, Loss  1.653190, Average Loss  1.717388, Time  0.441932
2021-09-23 23:48:49.146514 : Epoch  1, Batch     50, Loss  1.673068, Average Loss  1.764760, Time  0.451396
2021-09-23 23:48:52.385778 : Epoch  1, Batch     70, Loss  1.659341, Average Loss  1.716558, Time  0.440008
2021-09-23 23:48:55.198815 : Epoch  1, Batch     51, Loss  1.659770, Average Loss  1.762701, Time  0.447903
2021-09-23 23:48:58.374464 : Epoch  1, Batch     71, Loss  1.657961, Average Loss  1.715733, Time  0.448821
2021-09-23 23:49:01.257993 : Epoch  1, Batch     52, Loss  1.661432, Average Loss  1.760754, Time  0.448441
2021-09-23 23:49:04.361031 : Epoch  1, Batch     72, Loss  1.661072, Average Loss  1.714974, Time  0.445005
2021-09-23 23:49:07.320618 : Epoch  1, Batch     53, Loss  1.664237, Average Loss  1.758932, Time  0.449166
2021-09-23 23:49:10.347798 : Epoch  1, Batch     73, Loss  1.659515, Average Loss  1.714214, Time  0.440567
2021-09-23 23:49:13.379272 : Epoch  1, Batch     54, Loss  1.664273, Average Loss  1.757179, Time  0.454860
2021-09-23 23:49:16.326305 : Epoch  1, Batch     74, Loss  1.653302, Average Loss  1.713391, Time  0.440968
2021-09-23 23:49:19.437132 : Epoch  1, Batch     55, Loss  1.659181, Average Loss  1.755398, Time  0.447787
2021-09-23 23:49:22.309372 : Epoch  1, Batch     75, Loss  1.651764, Average Loss  1.712569, Time  0.444533
2021-09-23 23:49:25.497927 : Epoch  1, Batch     56, Loss  1.658877, Average Loss  1.753674, Time  0.447632
2021-09-23 23:49:28.271913 : Epoch  1, Batch     76, Loss  1.668486, Average Loss  1.711989, Time  0.442953
2021-09-23 23:49:31.561869 : Epoch  1, Batch     57, Loss  1.669666, Average Loss  1.752200, Time  0.448866
2021-09-23 23:49:34.253106 : Epoch  1, Batch     77, Loss  1.661234, Average Loss  1.711330, Time  0.439992
2021-09-23 23:49:37.588706 : Epoch  1, Batch     58, Loss  1.661339, Average Loss  1.750634, Time  0.445087
2021-09-23 23:49:40.242787 : Epoch  1, Batch     78, Loss  1.648964, Average Loss  1.710531, Time  0.456366
2021-09-23 23:49:43.630789 : Epoch  1, Batch     59, Loss  1.662669, Average Loss  1.749143, Time  0.447596
2021-09-23 23:49:46.223911 : Epoch  1, Batch     79, Loss  1.657255, Average Loss  1.709856, Time  0.439808
2021-09-23 23:49:49.661576 : Epoch  1, Batch     60, Loss  1.661463, Average Loss  1.747681, Time  0.445557
2021-09-23 23:49:52.200184 : Epoch  1, Batch     80, Loss  1.659406, Average Loss  1.709226, Time  0.439553
2021-09-23 23:49:55.710885 : Epoch  1, Batch     61, Loss  1.659859, Average Loss  1.746242, Time  0.444752
2021-09-23 23:49:58.172852 : Epoch  1, Batch     81, Loss  1.653924, Average Loss  1.708543, Time  0.442988
2021-09-23 23:50:01.782552 : Epoch  1, Batch     62, Loss  1.659713, Average Loss  1.744846, Time  0.463774
2021-09-23 23:50:04.161733 : Epoch  1, Batch     82, Loss  1.661281, Average Loss  1.707967, Time  0.446515
2021-09-23 23:50:07.851804 : Epoch  1, Batch     63, Loss  1.668537, Average Loss  1.743635, Time  0.449984
2021-09-23 23:50:10.133318 : Epoch  1, Batch     83, Loss  1.653217, Average Loss  1.707307, Time  0.441978
2021-09-23 23:50:13.891140 : Epoch  1, Batch     64, Loss  1.670811, Average Loss  1.742497, Time  0.445342
2021-09-23 23:50:16.096285 : Epoch  1, Batch     84, Loss  1.652163, Average Loss  1.706650, Time  0.440362
2021-09-23 23:50:19.955620 : Epoch  1, Batch     65, Loss  1.669752, Average Loss  1.741378, Time  0.445573
2021-09-23 23:50:22.101043 : Epoch  1, Batch     85, Loss  1.656829, Average Loss  1.706064, Time  0.441391
2021-09-23 23:50:26.000077 : Epoch  1, Batch     66, Loss  1.656155, Average Loss  1.740087, Time  0.447327
2021-09-23 23:50:28.095061 : Epoch  1, Batch     86, Loss  1.650890, Average Loss  1.705423, Time  0.453619
2021-09-23 23:50:32.049777 : Epoch  1, Batch     67, Loss  1.653510, Average Loss  1.738794, Time  0.445431
2021-09-23 23:50:34.090894 : Epoch  1, Batch     87, Loss  1.650922, Average Loss  1.704796, Time  0.442192
2021-09-23 23:50:38.115227 : Epoch  1, Batch     68, Loss  1.658015, Average Loss  1.737606, Time  0.445231
2021-09-23 23:50:40.067523 : Epoch  1, Batch     88, Loss  1.667024, Average Loss  1.704367, Time  0.441144
2021-09-23 23:50:44.171849 : Epoch  1, Batch     69, Loss  1.668925, Average Loss  1.736611, Time  0.461905
2021-09-23 23:50:46.052834 : Epoch  1, Batch     89, Loss  1.660126, Average Loss  1.703870, Time  0.440862
2021-09-23 23:50:50.219719 : Epoch  1, Batch     70, Loss  1.657604, Average Loss  1.735482, Time  0.447759
2021-09-23 23:50:52.021803 : Epoch  1, Batch     90, Loss  1.660262, Average Loss  1.703385, Time  0.439395
2021-09-23 23:50:56.265810 : Epoch  1, Batch     71, Loss  1.667412, Average Loss  1.734524, Time  0.451950
2021-09-23 23:50:58.036997 : Epoch  1, Batch     91, Loss  1.653433, Average Loss  1.702836, Time  0.441723
2021-09-23 23:51:02.315718 : Epoch  1, Batch     72, Loss  1.665350, Average Loss  1.733563, Time  0.444645
2021-09-23 23:51:04.038865 : Epoch  1, Batch     92, Loss  1.666095, Average Loss  1.702437, Time  0.443807
2021-09-23 23:51:08.362369 : Epoch  1, Batch     73, Loss  1.655854, Average Loss  1.732498, Time  0.446597
2021-09-23 23:51:10.032554 : Epoch  1, Batch     93, Loss  1.659432, Average Loss  1.701975, Time  0.452135
2021-09-23 23:51:14.384277 : Epoch  1, Batch     74, Loss  1.653418, Average Loss  1.731430, Time  0.445071
2021-09-23 23:51:16.012526 : Epoch  1, Batch     94, Loss  1.662628, Average Loss  1.701556, Time  0.442313
2021-09-23 23:51:20.428408 : Epoch  1, Batch     75, Loss  1.657797, Average Loss  1.730448, Time  0.448009
2021-09-23 23:51:22.008078 : Epoch  1, Batch     95, Loss  1.664351, Average Loss  1.701165, Time  0.440614
2021-09-23 23:51:26.467046 : Epoch  1, Batch     76, Loss  1.659679, Average Loss  1.729517, Time  0.445318
2021-09-23 23:51:28.072829 : Epoch  1, Batch     96, Loss  1.654407, Average Loss  1.700677, Time  0.440787
2021-09-23 23:51:32.525187 : Epoch  1, Batch     77, Loss  1.663107, Average Loss  1.728654, Time  0.458370
2021-09-23 23:51:34.151976 : Epoch  1, Batch     97, Loss  1.656403, Average Loss  1.700221, Time  0.439963
2021-09-23 23:51:38.575836 : Epoch  1, Batch     78, Loss  1.656747, Average Loss  1.727732, Time  0.444812
2021-09-23 23:51:40.175127 : Epoch  1, Batch     98, Loss  1.647525, Average Loss  1.699683, Time  0.440508
2021-09-23 23:51:44.635468 : Epoch  1, Batch     79, Loss  1.660400, Average Loss  1.726880, Time  0.447598
2021-09-23 23:51:46.113187 : Epoch  1, Batch     99, Loss  1.657983, Average Loss  1.699262, Time  0.439755
2021-09-23 23:51:50.683683 : Epoch  1, Batch     80, Loss  1.653468, Average Loss  1.725962, Time  0.448486
2021-09-23 23:51:52.059213 : Epoch  1, Batch    100, Loss  1.659512, Average Loss  1.698865, Time  0.440839
2021-09-23 23:51:56.737021 : Epoch  1, Batch     81, Loss  1.656256, Average Loss  1.725102, Time  0.450999
2021-09-23 23:52:02.771661 : Epoch  1, Batch     82, Loss  1.652434, Average Loss  1.724216, Time  0.447233
2021-09-23 23:52:08.834929 : Epoch  1, Batch     83, Loss  1.655095, Average Loss  1.723383, Time  0.445343
2021-09-23 23:52:14.884898 : Epoch  1, Batch     84, Loss  1.666792, Average Loss  1.722709, Time  0.450608
2021-09-23 23:52:20.931414 : Epoch  1, Batch     85, Loss  1.666389, Average Loss  1.722047, Time  0.445102
2021-09-23 23:52:26.961602 : Epoch  1, Batch     86, Loss  1.656824, Average Loss  1.721288, Time  0.446795
2021-09-23 23:52:32.996897 : Epoch  1, Batch     87, Loss  1.659152, Average Loss  1.720574, Time  0.445699
2021-09-23 23:52:39.047211 : Epoch  1, Batch     88, Loss  1.654421, Average Loss  1.719822, Time  0.448989
2021-09-23 23:52:45.105226 : Epoch  1, Batch     89, Loss  1.658965, Average Loss  1.719138, Time  0.448943
2021-09-23 23:52:51.161868 : Epoch  1, Batch     90, Loss  1.653320, Average Loss  1.718407, Time  0.445093
2021-09-23 23:52:57.227904 : Epoch  1, Batch     91, Loss  1.649926, Average Loss  1.717655, Time  0.448340
2021-09-23 23:53:03.270010 : Epoch  1, Batch     92, Loss  1.663761, Average Loss  1.717069, Time  0.458237
2021-09-23 23:53:09.272811 : Epoch  1, Batch     93, Loss  1.650114, Average Loss  1.716349, Time  0.450652
2021-09-23 23:53:15.263982 : Epoch  1, Batch     94, Loss  1.655243, Average Loss  1.715699, Time  0.444982
2021-09-23 23:53:21.271433 : Epoch  1, Batch     95, Loss  1.659972, Average Loss  1.715112, Time  0.446732
2021-09-23 23:53:27.285279 : Epoch  1, Batch     96, Loss  1.663734, Average Loss  1.714577, Time  0.448891
2021-09-23 23:53:33.293065 : Epoch  1, Batch     97, Loss  1.653727, Average Loss  1.713950, Time  0.451365
2021-09-23 23:53:39.344674 : Epoch  1, Batch     98, Loss  1.665366, Average Loss  1.713454, Time  0.449691
2021-09-23 23:53:45.387044 : Epoch  1, Batch     99, Loss  1.664298, Average Loss  1.712957, Time  0.457664
2021-09-23 23:53:51.361802 : Epoch  1, Batch    100, Loss  1.657267, Average Loss  1.712401, Time  0.446363
2021-09-23 23:56:30.578341 : CheckPoint: Validation Loss  0.00028344, Best Loss  0.00028344
2021-09-23 23:56:30.616469 : Best Model Updated
2021-09-23 23:56:37.211931 : Epoch  1, Batch    101, Loss  1.649121, Average Loss  1.698372, Time  0.440044
2021-09-23 23:56:42.888930 : Epoch  1, Batch    102, Loss  1.662723, Average Loss  1.698023, Time  0.437327
2021-09-23 23:56:48.594885 : Epoch  1, Batch    103, Loss  1.656255, Average Loss  1.697617, Time  0.441842
2021-09-23 23:56:54.355536 : Epoch  1, Batch    104, Loss  1.655270, Average Loss  1.697210, Time  0.439690
2021-09-23 23:57:00.053733 : Epoch  1, Batch    105, Loss  1.657410, Average Loss  1.696831, Time  0.439198
2021-09-23 23:57:05.732951 : Epoch  1, Batch    106, Loss  1.657525, Average Loss  1.696460, Time  0.437528
2021-09-23 23:57:11.446190 : Epoch  1, Batch    107, Loss  1.666252, Average Loss  1.696178, Time  0.439459
2021-09-23 23:57:17.191974 : Epoch  1, Batch    108, Loss  1.656676, Average Loss  1.695812, Time  0.452948
2021-09-23 23:57:22.857952 : Epoch  1, Batch    109, Loss  1.649051, Average Loss  1.695383, Time  0.438352
2021-09-23 23:57:28.533232 : Epoch  1, Batch    110, Loss  1.653040, Average Loss  1.694998, Time  0.438492
2021-09-23 23:57:34.191628 : Epoch  1, Batch    111, Loss  1.657078, Average Loss  1.694656, Time  0.438635
2021-09-23 23:57:39.820863 : Epoch  1, Batch    112, Loss  1.645292, Average Loss  1.694216, Time  0.438324
2021-09-23 23:57:45.492084 : Epoch  1, Batch    113, Loss  1.650544, Average Loss  1.693829, Time  0.439259
2021-09-23 23:57:51.197398 : Epoch  1, Batch    114, Loss  1.643044, Average Loss  1.693384, Time  0.440972
2021-09-23 23:57:56.872606 : Epoch  1, Batch    115, Loss  1.647536, Average Loss  1.692985, Time  0.439071
2021-09-23 23:58:02.584010 : Epoch  1, Batch    116, Loss  1.648576, Average Loss  1.692602, Time  0.446711
2021-09-23 23:58:08.229602 : Epoch  1, Batch    117, Loss  1.639580, Average Loss  1.692149, Time  0.440151
2021-09-23 23:58:13.863636 : Epoch  1, Batch    118, Loss  1.649824, Average Loss  1.691790, Time  0.438347
2021-09-23 23:58:19.613853 : Epoch  1, Batch    119, Loss  1.631536, Average Loss  1.691284, Time  0.437714
2021-09-23 23:58:23.696427 : CheckPoint: Validation Loss  0.00028297, Best Loss  0.00028297
2021-09-23 23:58:23.732556 : Best Model Updated
2021-09-23 23:58:25.310352 : Epoch  1, Batch    120, Loss  1.642998, Average Loss  1.690882, Time  0.441303
2021-09-23 23:58:30.280850 : Epoch  1, Batch    101, Loss  1.653982, Average Loss  1.711822, Time  0.459438
2021-09-23 23:58:31.036490 : Epoch  1, Batch    121, Loss  1.637622, Average Loss  1.690441, Time  0.438365
2021-09-23 23:58:35.987580 : Epoch  1, Batch    102, Loss  1.658537, Average Loss  1.711300, Time  0.443306
2021-09-23 23:58:36.740285 : Epoch  1, Batch    122, Loss  1.634310, Average Loss  1.689981, Time  0.438514
2021-09-23 23:58:41.685721 : Epoch  1, Batch    103, Loss  1.657844, Average Loss  1.710781, Time  0.445021
2021-09-23 23:58:42.423466 : Epoch  1, Batch    123, Loss  1.638090, Average Loss  1.689559, Time  0.441419
2021-09-23 23:58:47.381552 : Epoch  1, Batch    104, Loss  1.658617, Average Loss  1.710279, Time  0.443259
2021-09-23 23:58:48.144257 : Epoch  1, Batch    124, Loss  1.635390, Average Loss  1.689123, Time  0.451084
2021-09-23 23:58:53.019966 : Epoch  1, Batch    105, Loss  1.660808, Average Loss  1.709808, Time  0.443078
2021-09-23 23:58:53.795324 : Epoch  1, Batch    125, Loss  1.630546, Average Loss  1.688654, Time  0.439195
2021-09-23 23:58:58.713076 : Epoch  1, Batch    106, Loss  1.655169, Average Loss  1.709293, Time  0.445656
2021-09-23 23:58:59.530107 : Epoch  1, Batch    126, Loss  1.621279, Average Loss  1.688119, Time  0.438960
2021-09-23 23:59:04.422608 : Epoch  1, Batch    107, Loss  1.642258, Average Loss  1.708666, Time  0.442198
2021-09-23 23:59:05.202860 : Epoch  1, Batch    127, Loss  1.605232, Average Loss  1.687467, Time  0.438743
2021-09-23 23:59:10.075986 : Epoch  1, Batch    108, Loss  1.656458, Average Loss  1.708183, Time  0.444963
2021-09-23 23:59:10.849360 : Epoch  1, Batch    128, Loss  1.609150, Average Loss  1.686855, Time  0.439002
2021-09-23 23:59:15.762929 : Epoch  1, Batch    109, Loss  1.657494, Average Loss  1.707718, Time  0.458134
2021-09-23 23:59:16.520634 : Epoch  1, Batch    129, Loss  1.603595, Average Loss  1.686209, Time  0.438078
2021-09-23 23:59:21.455059 : Epoch  1, Batch    110, Loss  1.656979, Average Loss  1.707256, Time  0.443588
2021-09-23 23:59:22.214916 : Epoch  1, Batch    130, Loss  1.600612, Average Loss  1.685551, Time  0.437788
2021-09-23 23:59:27.201698 : Epoch  1, Batch    111, Loss  1.647471, Average Loss  1.706718, Time  0.441717
2021-09-23 23:59:27.976767 : Epoch  1, Batch    131, Loss  1.593798, Average Loss  1.684850, Time  0.437921
2021-09-23 23:59:32.905610 : Epoch  1, Batch    112, Loss  1.653486, Average Loss  1.706242, Time  0.444549
2021-09-23 23:59:33.660512 : Epoch  1, Batch    132, Loss  1.598304, Average Loss  1.684195, Time  0.444574
2021-09-23 23:59:38.606643 : Epoch  1, Batch    113, Loss  1.657615, Average Loss  1.705812, Time  0.444434
2021-09-23 23:59:39.354838 : Epoch  1, Batch    133, Loss  1.576760, Average Loss  1.683387, Time  0.438882
2021-09-23 23:59:44.294484 : Epoch  1, Batch    114, Loss  1.655492, Average Loss  1.705371, Time  0.445076
2021-09-23 23:59:45.032735 : Epoch  1, Batch    134, Loss  1.576334, Average Loss  1.682588, Time  0.439950
2021-09-23 23:59:50.104936 : Epoch  1, Batch    115, Loss  1.665330, Average Loss  1.705023, Time  0.445520
2021-09-23 23:59:50.832036 : Epoch  1, Batch    135, Loss  1.587140, Average Loss  1.681881, Time  0.441316
2021-09-23 23:59:55.876443 : Epoch  1, Batch    116, Loss  1.652184, Average Loss  1.704567, Time  0.443884
2021-09-23 23:59:56.599161 : Epoch  1, Batch    136, Loss  1.552021, Average Loss  1.680926, Time  0.441248
2021-09-24 00:00:01.761828 : Epoch  1, Batch    117, Loss  1.653341, Average Loss  1.704129, Time  0.454564
2021-09-24 00:00:02.456592 : Epoch  1, Batch    137, Loss  1.562976, Average Loss  1.680065, Time  0.439144
2021-09-24 00:00:07.551084 : Epoch  1, Batch    118, Loss  1.648988, Average Loss  1.703662, Time  0.444109
2021-09-24 00:00:08.241635 : Epoch  1, Batch    138, Loss  1.564538, Average Loss  1.679228, Time  0.438970
2021-09-24 00:00:13.329961 : Epoch  1, Batch    119, Loss  1.651765, Average Loss  1.703226, Time  0.442024
2021-09-24 00:00:13.966222 : Epoch  1, Batch    139, Loss  1.549547, Average Loss  1.678295, Time  0.438132
2021-09-24 00:00:19.040391 : Epoch  1, Batch    120, Loss  1.662371, Average Loss  1.702885, Time  0.443082
2021-09-24 00:00:19.690693 : Epoch  1, Batch    140, Loss  1.548605, Average Loss  1.677369, Time  0.453020
2021-09-24 00:00:24.862382 : Epoch  1, Batch    121, Loss  1.645287, Average Loss  1.702409, Time  0.448400
2021-09-24 00:00:25.473787 : Epoch  1, Batch    141, Loss  1.549356, Average Loss  1.676461, Time  0.439607
2021-09-24 00:00:30.670959 : Epoch  1, Batch    122, Loss  1.656316, Average Loss  1.702032, Time  0.445177
2021-09-24 00:00:31.249387 : Epoch  1, Batch    142, Loss  1.560714, Average Loss  1.675646, Time  0.438993
2021-09-24 00:00:36.433559 : Epoch  1, Batch    123, Loss  1.648589, Average Loss  1.701597, Time  0.444314
2021-09-24 00:00:36.982699 : Epoch  1, Batch    143, Loss  1.538941, Average Loss  1.674690, Time  0.440254
2021-09-24 00:00:42.223632 : Epoch  1, Batch    124, Loss  1.649971, Average Loss  1.701181, Time  0.445482
2021-09-24 00:00:42.748004 : Epoch  1, Batch    144, Loss  1.552999, Average Loss  1.673845, Time  0.439062
2021-09-24 00:00:48.005434 : Epoch  1, Batch    125, Loss  1.663359, Average Loss  1.700878, Time  0.458642
2021-09-24 00:00:48.489737 : Epoch  1, Batch    145, Loss  1.540907, Average Loss  1.672928, Time  0.441564
2021-09-24 00:00:53.718879 : Epoch  1, Batch    126, Loss  1.653354, Average Loss  1.700501, Time  0.443714
2021-09-24 00:00:54.188747 : Epoch  1, Batch    146, Loss  1.541772, Average Loss  1.672030, Time  0.440088
2021-09-24 00:00:59.519227 : Epoch  1, Batch    127, Loss  1.642078, Average Loss  1.700041, Time  0.444368
2021-09-24 00:01:00.020435 : Epoch  1, Batch    147, Loss  1.531146, Average Loss  1.671071, Time  0.442252
2021-09-24 00:01:05.292809 : Epoch  1, Batch    128, Loss  1.648563, Average Loss  1.699639, Time  0.445007
2021-09-24 00:01:05.833044 : Epoch  1, Batch    148, Loss  1.524481, Average Loss  1.670081, Time  0.452083
2021-09-24 00:01:11.095370 : Epoch  1, Batch    129, Loss  1.642911, Average Loss  1.699199, Time  0.444609
2021-09-24 00:01:11.644895 : Epoch  1, Batch    149, Loss  1.534398, Average Loss  1.669170, Time  0.443149
2021-09-24 00:01:17.044701 : Epoch  1, Batch    130, Loss  1.641180, Average Loss  1.698753, Time  0.447913
2021-09-24 00:01:17.588867 : Epoch  1, Batch    150, Loss  1.523743, Average Loss  1.668201, Time  0.446646
2021-09-24 00:01:22.810242 : Epoch  1, Batch    131, Loss  1.644005, Average Loss  1.698335, Time  0.444778
2021-09-24 00:01:23.327893 : Epoch  1, Batch    151, Loss  1.509583, Average Loss  1.667150, Time  0.439297
2021-09-24 00:01:28.561064 : Epoch  1, Batch    132, Loss  1.637463, Average Loss  1.697874, Time  0.445372
2021-09-24 00:01:29.110640 : Epoch  1, Batch    152, Loss  1.524871, Average Loss  1.666214, Time  0.443335
2021-09-24 00:01:34.376118 : Epoch  1, Batch    133, Loss  1.642863, Average Loss  1.697460, Time  0.454164
2021-09-24 00:01:34.892053 : Epoch  1, Batch    153, Loss  1.528459, Average Loss  1.665314, Time  0.438272
2021-09-24 00:01:40.194361 : Epoch  1, Batch    134, Loss  1.637558, Average Loss  1.697013, Time  0.444136
2021-09-24 00:01:40.690681 : Epoch  1, Batch    154, Loss  1.509442, Average Loss  1.664302, Time  0.439629
2021-09-24 00:01:46.075855 : Epoch  1, Batch    135, Loss  1.624770, Average Loss  1.696478, Time  0.443558
2021-09-24 00:01:46.530430 : Epoch  1, Batch    155, Loss  1.520163, Average Loss  1.663372, Time  0.441044
2021-09-24 00:01:51.850078 : Epoch  1, Batch    136, Loss  1.638699, Average Loss  1.696053, Time  0.443026
2021-09-24 00:01:52.273600 : Epoch  1, Batch    156, Loss  1.510251, Average Loss  1.662390, Time  0.453479
2021-09-24 00:01:57.612537 : Epoch  1, Batch    137, Loss  1.622002, Average Loss  1.695512, Time  0.445196
2021-09-24 00:01:58.005479 : Epoch  1, Batch    157, Loss  1.505327, Average Loss  1.661390, Time  0.440216
2021-09-24 00:02:03.442231 : Epoch  1, Batch    138, Loss  1.625256, Average Loss  1.695003, Time  0.445345
2021-09-24 00:02:03.833620 : Epoch  1, Batch    158, Loss  1.514241, Average Loss  1.660458, Time  0.440670
2021-09-24 00:02:09.278024 : Epoch  1, Batch    139, Loss  1.623996, Average Loss  1.694493, Time  0.444418
2021-09-24 00:02:09.646430 : Epoch  1, Batch    159, Loss  1.511601, Average Loss  1.659522, Time  0.440231
2021-09-24 00:02:15.050706 : Epoch  1, Batch    140, Loss  1.619918, Average Loss  1.693960, Time  0.445130
2021-09-24 00:02:15.364829 : Epoch  1, Batch    160, Loss  1.521350, Average Loss  1.658659, Time  0.439479
2021-09-24 00:02:20.811104 : Epoch  1, Batch    141, Loss  1.621814, Average Loss  1.693448, Time  0.456227
2021-09-24 00:02:21.067908 : Epoch  1, Batch    161, Loss  1.511372, Average Loss  1.657744, Time  0.440841
2021-09-24 00:02:26.637890 : Epoch  1, Batch    142, Loss  1.607111, Average Loss  1.692840, Time  0.446440
2021-09-24 00:02:26.827121 : Epoch  1, Batch    162, Loss  1.511903, Average Loss  1.656844, Time  0.440009
2021-09-24 00:02:32.498122 : Epoch  1, Batch    143, Loss  1.587166, Average Loss  1.692101, Time  0.445146
2021-09-24 00:02:32.618778 : Epoch  1, Batch    163, Loss  1.507907, Average Loss  1.655930, Time  0.440532
2021-09-24 00:02:38.366171 : Epoch  1, Batch    144, Loss  1.581573, Average Loss  1.691334, Time  0.444896
2021-09-24 00:02:38.437917 : Epoch  1, Batch    164, Loss  1.507607, Average Loss  1.655025, Time  0.452091
2021-09-24 00:02:44.252579 : Epoch  1, Batch    145, Loss  1.584376, Average Loss  1.690596, Time  0.444542
2021-09-24 00:02:44.286756 : Epoch  1, Batch    165, Loss  1.494420, Average Loss  1.654052, Time  0.439629
2021-09-24 00:02:50.034323 : Epoch  1, Batch    146, Loss  1.576230, Average Loss  1.689813, Time  0.444929
2021-09-24 00:02:50.065267 : Epoch  1, Batch    166, Loss  1.509792, Average Loss  1.653183, Time  0.440345
2021-09-24 00:02:55.788547 : Epoch  1, Batch    147, Loss  1.589405, Average Loss  1.689130, Time  0.445110
2021-09-24 00:02:55.818748 : Epoch  1, Batch    167, Loss  1.514563, Average Loss  1.652353, Time  0.440329
2021-09-24 00:03:01.581706 : Epoch  1, Batch    148, Loss  1.579190, Average Loss  1.688387, Time  0.445549
2021-09-24 00:03:01.613916 : Epoch  1, Batch    168, Loss  1.504910, Average Loss  1.651475, Time  0.441256
2021-09-24 00:03:07.389248 : Epoch  1, Batch    149, Loss  1.580630, Average Loss  1.687664, Time  0.460419
2021-09-24 00:03:07.426460 : Epoch  1, Batch    169, Loss  1.508907, Average Loss  1.650632, Time  0.439449
2021-09-24 00:03:13.172803 : Epoch  1, Batch    150, Loss  1.580286, Average Loss  1.686948, Time  0.444524
2021-09-24 00:03:13.205023 : Epoch  1, Batch    170, Loss  1.500820, Average Loss  1.649750, Time  0.438319
2021-09-24 00:03:18.905065 : Epoch  1, Batch    151, Loss  1.570877, Average Loss  1.686179, Time  0.444438
2021-09-24 00:03:18.941925 : Epoch  1, Batch    171, Loss  1.507929, Average Loss  1.648921, Time  0.439801
2021-09-24 00:03:24.652099 : Epoch  1, Batch    152, Loss  1.588269, Average Loss  1.685535, Time  0.444323
2021-09-24 00:03:24.694395 : Epoch  1, Batch    172, Loss  1.507453, Average Loss  1.648099, Time  0.453550
2021-09-24 00:03:30.481509 : Epoch  1, Batch    153, Loss  1.559393, Average Loss  1.684710, Time  0.444612
2021-09-24 00:03:30.515759 : Epoch  1, Batch    173, Loss  1.512213, Average Loss  1.647313, Time  0.439263
2021-09-24 00:03:36.238995 : Epoch  1, Batch    154, Loss  1.585236, Average Loss  1.684065, Time  0.444712
2021-09-24 00:03:36.277818 : Epoch  1, Batch    174, Loss  1.506920, Average Loss  1.646506, Time  0.439414
2021-09-24 00:03:42.010813 : Epoch  1, Batch    155, Loss  1.568295, Average Loss  1.683318, Time  0.444824
2021-09-24 00:03:42.053568 : Epoch  1, Batch    175, Loss  1.506858, Average Loss  1.645708, Time  0.440202
2021-09-24 00:03:47.786879 : Epoch  1, Batch    156, Loss  1.570837, Average Loss  1.682597, Time  0.443837
2021-09-24 00:03:47.842202 : Epoch  1, Batch    176, Loss  1.493750, Average Loss  1.644845, Time  0.439382
2021-09-24 00:03:53.630104 : Epoch  1, Batch    157, Loss  1.550474, Average Loss  1.681755, Time  0.453339
2021-09-24 00:03:53.666526 : Epoch  1, Batch    177, Loss  1.502970, Average Loss  1.644043, Time  0.440565
2021-09-24 00:03:59.391470 : Epoch  1, Batch    158, Loss  1.569602, Average Loss  1.681045, Time  0.444571
2021-09-24 00:03:59.432399 : Epoch  1, Batch    178, Loss  1.496089, Average Loss  1.643212, Time  0.439108
2021-09-24 00:04:05.148798 : Epoch  1, Batch    159, Loss  1.571482, Average Loss  1.680356, Time  0.445622
2021-09-24 00:04:05.198061 : Epoch  1, Batch    179, Loss  1.510292, Average Loss  1.642470, Time  0.440439
2021-09-24 00:04:10.968804 : Epoch  1, Batch    160, Loss  1.552756, Average Loss  1.679559, Time  0.446884
2021-09-24 00:04:11.032284 : Epoch  1, Batch    180, Loss  1.504201, Average Loss  1.641701, Time  0.451834
2021-09-24 00:04:16.884677 : Epoch  1, Batch    181, Loss  1.511209, Average Loss  1.640980, Time  0.439175
2021-09-24 00:04:16.919024 : Epoch  1, Batch    161, Loss  1.554151, Average Loss  1.678780, Time  0.446588
2021-09-24 00:04:22.696472 : Epoch  1, Batch    182, Loss  1.518267, Average Loss  1.640306, Time  0.439935
2021-09-24 00:04:22.728950 : Epoch  1, Batch    162, Loss  1.541424, Average Loss  1.677932, Time  0.446465
2021-09-24 00:04:28.481128 : Epoch  1, Batch    183, Loss  1.506443, Average Loss  1.639575, Time  0.441453
2021-09-24 00:04:28.540147 : Epoch  1, Batch    163, Loss  1.537878, Average Loss  1.677073, Time  0.447448
2021-09-24 00:04:34.290214 : Epoch  1, Batch    184, Loss  1.511222, Average Loss  1.638877, Time  0.441058
2021-09-24 00:04:34.339836 : Epoch  1, Batch    164, Loss  1.545183, Average Loss  1.676268, Time  0.447135
2021-09-24 00:04:40.036231 : Epoch  1, Batch    185, Loss  1.504199, Average Loss  1.638149, Time  0.439507
2021-09-24 00:04:40.104513 : Epoch  1, Batch    165, Loss  1.525020, Average Loss  1.675352, Time  0.461958
2021-09-24 00:04:45.757383 : Epoch  1, Batch    186, Loss  1.500986, Average Loss  1.637412, Time  0.438756
2021-09-24 00:04:45.854064 : Epoch  1, Batch    166, Loss  1.522126, Average Loss  1.674429, Time  0.446504
2021-09-24 00:04:51.473199 : Epoch  1, Batch    187, Loss  1.495241, Average Loss  1.636651, Time  0.441473
2021-09-24 00:04:51.573291 : Epoch  1, Batch    167, Loss  1.514450, Average Loss  1.673471, Time  0.445071
2021-09-24 00:04:57.273017 : Epoch  1, Batch    188, Loss  1.502463, Average Loss  1.635938, Time  0.455353
2021-09-24 00:04:57.396955 : Epoch  1, Batch    168, Loss  1.511854, Average Loss  1.672509, Time  0.448454
2021-09-24 00:05:03.119816 : Epoch  1, Batch    189, Loss  1.491976, Average Loss  1.635176, Time  0.439636
2021-09-24 00:05:03.256555 : Epoch  1, Batch    169, Loss  1.517780, Average Loss  1.671593, Time  0.444228
2021-09-24 00:05:08.891296 : Epoch  1, Batch    190, Loss  1.492337, Average Loss  1.634424, Time  0.441229
2021-09-24 00:05:09.010368 : Epoch  1, Batch    170, Loss  1.506843, Average Loss  1.670624, Time  0.443830
2021-09-24 00:05:14.665152 : Epoch  1, Batch    191, Loss  1.491262, Average Loss  1.633675, Time  0.439525
2021-09-24 00:05:14.755574 : Epoch  1, Batch    171, Loss  1.507706, Average Loss  1.669671, Time  0.447104
2021-09-24 00:05:20.491206 : Epoch  1, Batch    192, Loss  1.493154, Average Loss  1.632943, Time  0.440677
2021-09-24 00:05:20.556010 : Epoch  1, Batch    172, Loss  1.520062, Average Loss  1.668802, Time  0.444923
2021-09-24 00:05:26.372767 : Epoch  1, Batch    193, Loss  1.504871, Average Loss  1.632279, Time  0.439317
2021-09-24 00:05:26.469180 : Epoch  1, Batch    173, Loss  1.507154, Average Loss  1.667867, Time  0.455283
2021-09-24 00:05:32.171898 : Epoch  1, Batch    194, Loss  1.498751, Average Loss  1.631591, Time  0.442334
2021-09-24 00:05:32.309469 : Epoch  1, Batch    174, Loss  1.503512, Average Loss  1.666923, Time  0.448556
2021-09-24 00:05:37.987067 : Epoch  1, Batch    195, Loss  1.480912, Average Loss  1.630818, Time  0.441579
2021-09-24 00:05:38.111073 : Epoch  1, Batch    175, Loss  1.514570, Average Loss  1.666052, Time  0.444673
2021-09-24 00:05:43.779017 : Epoch  1, Batch    196, Loss  1.494150, Average Loss  1.630121, Time  0.452301
2021-09-24 00:05:43.881462 : Epoch  1, Batch    176, Loss  1.516425, Average Loss  1.665202, Time  0.444132
2021-09-24 00:05:49.524567 : Epoch  1, Batch    197, Loss  1.504360, Average Loss  1.629483, Time  0.439691
2021-09-24 00:05:49.638501 : Epoch  1, Batch    177, Loss  1.499924, Average Loss  1.664268, Time  0.446183
2021-09-24 00:05:55.294255 : Epoch  1, Batch    198, Loss  1.521859, Average Loss  1.628939, Time  0.440858
2021-09-24 00:05:55.396831 : Epoch  1, Batch    178, Loss  1.505259, Average Loss  1.663375, Time  0.445862
2021-09-24 00:06:01.026418 : Epoch  1, Batch    199, Loss  1.496329, Average Loss  1.628273, Time  0.441597
2021-09-24 00:06:01.137648 : Epoch  1, Batch    179, Loss  1.508901, Average Loss  1.662512, Time  0.444247
2021-09-24 00:06:06.791414 : Epoch  1, Batch    200, Loss  1.498457, Average Loss  1.627624, Time  0.440150
2021-09-24 00:06:06.915361 : Epoch  1, Batch    180, Loss  1.507710, Average Loss  1.661652, Time  0.445848
2021-09-24 00:06:12.705921 : Epoch  1, Batch    181, Loss  1.499658, Average Loss  1.660757, Time  0.461905
2021-09-24 00:06:18.465978 : Epoch  1, Batch    182, Loss  1.508102, Average Loss  1.659918, Time  0.445758
2021-09-24 00:06:24.248237 : Epoch  1, Batch    183, Loss  1.503541, Average Loss  1.659063, Time  0.444565
2021-09-24 00:06:30.021970 : Epoch  1, Batch    184, Loss  1.503614, Average Loss  1.658219, Time  0.446568
2021-09-24 00:06:35.795327 : Epoch  1, Batch    185, Loss  1.506884, Average Loss  1.657401, Time  0.445148
2021-09-24 00:06:41.872486 : Epoch  1, Batch    186, Loss  1.492960, Average Loss  1.656517, Time  0.476228
2021-09-24 00:06:48.074381 : Epoch  1, Batch    187, Loss  1.505271, Average Loss  1.655708, Time  0.471465
2021-09-24 00:06:54.057096 : Epoch  1, Batch    188, Loss  1.484729, Average Loss  1.654798, Time  0.476336
2021-09-24 00:07:00.048546 : Epoch  1, Batch    189, Loss  1.509295, Average Loss  1.654028, Time  0.463604
2021-09-24 00:07:05.930746 : Epoch  1, Batch    190, Loss  1.492360, Average Loss  1.653178, Time  0.475935
2021-09-24 00:07:11.791145 : Epoch  1, Batch    191, Loss  1.507510, Average Loss  1.652415, Time  0.450683
2021-09-24 00:07:17.681255 : Epoch  1, Batch    192, Loss  1.506866, Average Loss  1.651657, Time  0.468781
2021-09-24 00:07:23.536321 : Epoch  1, Batch    193, Loss  1.504756, Average Loss  1.650896, Time  0.447560
2021-09-24 00:07:29.476676 : Epoch  1, Batch    194, Loss  1.505736, Average Loss  1.650147, Time  0.447380
2021-09-24 00:07:35.262373 : Epoch  1, Batch    195, Loss  1.498035, Average Loss  1.649367, Time  0.446094
2021-09-24 00:07:41.154404 : Epoch  1, Batch    196, Loss  1.495780, Average Loss  1.648584, Time  0.448875
2021-09-24 00:07:47.001032 : Epoch  1, Batch    197, Loss  1.499281, Average Loss  1.647826, Time  0.457971
2021-09-24 00:07:52.825454 : Epoch  1, Batch    198, Loss  1.510691, Average Loss  1.647133, Time  0.447900
2021-09-24 00:07:58.680575 : Epoch  1, Batch    199, Loss  1.507431, Average Loss  1.646431, Time  0.447979
2021-09-24 00:08:04.518427 : Epoch  1, Batch    200, Loss  1.505140, Average Loss  1.645725, Time  0.446862
2021-09-24 00:10:39.890795 : CheckPoint: Validation Loss  0.00026143, Best Loss  0.00026143
2021-09-24 00:10:39.928124 : Best Model Updated
2021-09-24 00:10:46.389504 : Epoch  1, Batch    201, Loss  1.501503, Average Loss  1.625830, Time  0.440541
2021-09-24 00:10:52.222072 : Epoch  1, Batch    202, Loss  1.502220, Average Loss  1.624022, Time  0.439315
2021-09-24 00:10:58.040391 : Epoch  1, Batch    203, Loss  1.492179, Average Loss  1.622169, Time  0.441861
2021-09-24 00:11:03.845023 : Epoch  1, Batch    204, Loss  1.507912, Average Loss  1.620400, Time  0.439346
2021-09-24 00:11:09.593538 : Epoch  1, Batch    205, Loss  1.503386, Average Loss  1.618651, Time  0.439599
2021-09-24 00:11:15.417676 : Epoch  1, Batch    206, Loss  1.509471, Average Loss  1.616949, Time  0.455177
2021-09-24 00:11:21.241187 : Epoch  1, Batch    207, Loss  1.493359, Average Loss  1.615183, Time  0.439239
2021-09-24 00:11:27.051725 : Epoch  1, Batch    208, Loss  1.492021, Average Loss  1.613453, Time  0.441758
2021-09-24 00:11:32.859591 : Epoch  1, Batch    209, Loss  1.494012, Average Loss  1.611747, Time  0.438740
2021-09-24 00:11:38.635818 : Epoch  1, Batch    210, Loss  1.498718, Average Loss  1.610116, Time  0.440880
2021-09-24 00:11:44.446433 : Epoch  1, Batch    211, Loss  1.499390, Average Loss  1.608471, Time  0.441191
2021-09-24 00:11:50.263738 : Epoch  1, Batch    212, Loss  1.502525, Average Loss  1.606904, Time  0.438619
2021-09-24 00:11:56.065045 : Epoch  1, Batch    213, Loss  1.499664, Average Loss  1.605366, Time  0.438857
2021-09-24 00:12:01.881959 : Epoch  1, Batch    214, Loss  1.491645, Average Loss  1.603849, Time  0.455514
2021-09-24 00:12:07.666563 : Epoch  1, Batch    215, Loss  1.493062, Average Loss  1.602354, Time  0.439270
2021-09-24 00:12:13.384083 : Epoch  1, Batch    216, Loss  1.491318, Average Loss  1.600937, Time  0.438831
2021-09-24 00:12:19.140429 : Epoch  1, Batch    217, Loss  1.491727, Average Loss  1.599558, Time  0.439282
2021-09-24 00:12:24.954211 : Epoch  1, Batch    218, Loss  1.502550, Average Loss  1.598246, Time  0.438501
2021-09-24 00:12:30.745448 : Epoch  1, Batch    219, Loss  1.487933, Average Loss  1.596919, Time  0.439649
2021-09-24 00:12:36.502242 : Epoch  1, Batch    220, Loss  1.489525, Average Loss  1.595613, Time  0.441326
2021-09-24 00:12:42.278043 : Epoch  1, Batch    221, Loss  1.489031, Average Loss  1.594400, Time  0.438409
2021-09-24 00:12:43.259931 : CheckPoint: Validation Loss  0.00025996, Best Loss  0.00025996
2021-09-24 00:12:43.290309 : Best Model Updated
2021-09-24 00:12:48.021356 : Epoch  1, Batch    222, Loss  1.496898, Average Loss  1.593221, Time  0.456428
2021-09-24 00:12:49.769171 : Epoch  1, Batch    201, Loss  1.490296, Average Loss  1.643589, Time  0.448068
2021-09-24 00:12:53.886385 : Epoch  1, Batch    223, Loss  1.485175, Average Loss  1.592011, Time  0.441057
2021-09-24 00:12:55.718028 : Epoch  1, Batch    202, Loss  1.507544, Average Loss  1.641519, Time  0.445835
2021-09-24 00:12:59.714386 : Epoch  1, Batch    224, Loss  1.501152, Average Loss  1.590913, Time  0.441983
2021-09-24 00:13:01.624197 : Epoch  1, Batch    203, Loss  1.501728, Average Loss  1.639422, Time  0.443573
2021-09-24 00:13:05.448999 : Epoch  1, Batch    225, Loss  1.486651, Average Loss  1.589813, Time  0.439365
2021-09-24 00:13:07.514174 : Epoch  1, Batch    204, Loss  1.503055, Average Loss  1.637385, Time  0.462396
2021-09-24 00:13:11.207148 : Epoch  1, Batch    226, Loss  1.501987, Average Loss  1.588794, Time  0.440819
2021-09-24 00:13:13.335307 : Epoch  1, Batch    205, Loss  1.497669, Average Loss  1.635286, Time  0.444547
2021-09-24 00:13:16.998778 : Epoch  1, Batch    227, Loss  1.494719, Average Loss  1.587730, Time  0.439874
2021-09-24 00:13:19.300111 : Epoch  1, Batch    206, Loss  1.488320, Average Loss  1.633178, Time  0.444515
2021-09-24 00:13:22.830937 : Epoch  1, Batch    228, Loss  1.481636, Average Loss  1.586634, Time  0.440370
2021-09-24 00:13:25.252653 : Epoch  1, Batch    207, Loss  1.498297, Average Loss  1.631136, Time  0.445839
2021-09-24 00:13:28.720492 : Epoch  1, Batch    229, Loss  1.495197, Average Loss  1.585572, Time  0.440580
2021-09-24 00:13:31.222481 : Epoch  1, Batch    208, Loss  1.491467, Average Loss  1.629082, Time  0.444914
2021-09-24 00:13:34.585699 : Epoch  1, Batch    230, Loss  1.498030, Average Loss  1.584565, Time  0.445867
2021-09-24 00:13:37.135121 : Epoch  1, Batch    209, Loss  1.510263, Average Loss  1.627143, Time  0.448796
2021-09-24 00:13:40.295596 : Epoch  1, Batch    231, Loss  1.498009, Average Loss  1.583615, Time  0.438496
2021-09-24 00:13:42.955506 : Epoch  1, Batch    210, Loss  1.497876, Average Loss  1.625200, Time  0.444508
2021-09-24 00:13:46.055982 : Epoch  1, Batch    232, Loss  1.501844, Average Loss  1.582652, Time  0.440953
2021-09-24 00:13:48.876322 : Epoch  1, Batch    211, Loss  1.485424, Average Loss  1.623237, Time  0.445005
2021-09-24 00:13:51.820615 : Epoch  1, Batch    233, Loss  1.488102, Average Loss  1.581698, Time  0.439552
2021-09-24 00:13:54.735362 : Epoch  1, Batch    212, Loss  1.496176, Average Loss  1.621369, Time  0.453846
2021-09-24 00:13:57.586419 : Epoch  1, Batch    234, Loss  1.492435, Average Loss  1.580730, Time  0.440051
2021-09-24 00:14:00.575282 : Epoch  1, Batch    213, Loss  1.497110, Average Loss  1.619576, Time  0.443996
2021-09-24 00:14:03.381477 : Epoch  1, Batch    235, Loss  1.491515, Average Loss  1.579739, Time  0.441537
2021-09-24 00:14:06.438603 : Epoch  1, Batch    214, Loss  1.499282, Average Loss  1.617840, Time  0.446307
2021-09-24 00:14:09.094731 : Epoch  1, Batch    236, Loss  1.498298, Average Loss  1.578827, Time  0.440616
2021-09-24 00:14:12.273919 : Epoch  1, Batch    215, Loss  1.492878, Average Loss  1.616121, Time  0.444817
2021-09-24 00:14:14.849990 : Epoch  1, Batch    237, Loss  1.486445, Average Loss  1.577841, Time  0.441326
2021-09-24 00:14:18.166033 : Epoch  1, Batch    216, Loss  1.502967, Average Loss  1.614506, Time  0.445011
2021-09-24 00:14:20.662284 : Epoch  1, Batch    238, Loss  1.502847, Average Loss  1.576981, Time  0.450690
2021-09-24 00:14:24.036096 : Epoch  1, Batch    217, Loss  1.481624, Average Loss  1.612859, Time  0.444682
2021-09-24 00:14:26.417003 : Epoch  1, Batch    239, Loss  1.506145, Average Loss  1.576131, Time  0.439626
2021-09-24 00:14:29.868743 : Epoch  1, Batch    218, Loss  1.490140, Average Loss  1.611318, Time  0.446891
2021-09-24 00:14:32.143114 : Epoch  1, Batch    240, Loss  1.498659, Average Loss  1.575269, Time  0.439413
2021-09-24 00:14:35.650012 : Epoch  1, Batch    219, Loss  1.507490, Average Loss  1.609906, Time  0.444209
2021-09-24 00:14:37.853194 : Epoch  1, Batch    241, Loss  1.492212, Average Loss  1.574399, Time  0.439615
2021-09-24 00:14:41.583564 : Epoch  1, Batch    220, Loss  1.497563, Average Loss  1.608517, Time  0.463422
2021-09-24 00:14:43.728923 : Epoch  1, Batch    242, Loss  1.487722, Average Loss  1.573469, Time  0.444089
2021-09-24 00:14:47.522605 : Epoch  1, Batch    221, Loss  1.489411, Average Loss  1.607149, Time  0.446355
2021-09-24 00:14:49.571047 : Epoch  1, Batch    243, Loss  1.499798, Average Loss  1.572642, Time  0.439399
2021-09-24 00:14:53.339223 : Epoch  1, Batch    222, Loss  1.488926, Average Loss  1.605802, Time  0.444033
2021-09-24 00:14:55.299082 : Epoch  1, Batch    244, Loss  1.484827, Average Loss  1.571750, Time  0.442370
2021-09-24 00:14:59.206979 : Epoch  1, Batch    223, Loss  1.489810, Average Loss  1.604493, Time  0.442345
2021-09-24 00:15:01.033951 : Epoch  1, Batch    245, Loss  1.497737, Average Loss  1.570887, Time  0.438058
2021-09-24 00:15:05.016471 : Epoch  1, Batch    224, Loss  1.500675, Average Loss  1.603313, Time  0.444463
2021-09-24 00:15:06.803913 : Epoch  1, Batch    246, Loss  1.493717, Average Loss  1.570010, Time  0.450150
2021-09-24 00:15:10.863659 : Epoch  1, Batch    225, Loss  1.487289, Average Loss  1.602106, Time  0.443099
2021-09-24 00:15:12.569280 : Epoch  1, Batch    247, Loss  1.493845, Average Loss  1.569193, Time  0.441596
2021-09-24 00:15:16.777872 : Epoch  1, Batch    226, Loss  1.481997, Average Loss  1.600925, Time  0.444512
2021-09-24 00:15:18.415186 : Epoch  1, Batch    248, Loss  1.499597, Average Loss  1.568318, Time  0.441628
2021-09-24 00:15:22.670741 : Epoch  1, Batch    227, Loss  1.495210, Average Loss  1.599831, Time  0.444627
2021-09-24 00:15:24.209601 : Epoch  1, Batch    249, Loss  1.476477, Average Loss  1.567476, Time  0.439657
2021-09-24 00:15:28.547507 : Epoch  1, Batch    228, Loss  1.492043, Average Loss  1.598789, Time  0.461940
2021-09-24 00:15:29.970214 : Epoch  1, Batch    250, Loss  1.483384, Average Loss  1.566559, Time  0.438139
2021-09-24 00:15:34.347613 : Epoch  1, Batch    229, Loss  1.492881, Average Loss  1.597728, Time  0.446202
2021-09-24 00:15:35.709676 : Epoch  1, Batch    251, Loss  1.493144, Average Loss  1.565693, Time  0.439333
2021-09-24 00:15:40.236447 : Epoch  1, Batch    230, Loss  1.499432, Average Loss  1.596780, Time  0.445473
2021-09-24 00:15:41.491520 : Epoch  1, Batch    252, Loss  1.497623, Average Loss  1.564883, Time  0.440274
2021-09-24 00:15:46.108309 : Epoch  1, Batch    231, Loss  1.483937, Average Loss  1.595724, Time  0.443948
2021-09-24 00:15:47.269641 : Epoch  1, Batch    253, Loss  1.487608, Average Loss  1.564064, Time  0.441117
2021-09-24 00:15:52.034228 : Epoch  1, Batch    232, Loss  1.483952, Average Loss  1.594635, Time  0.445903
2021-09-24 00:15:53.168064 : Epoch  1, Batch    254, Loss  1.492158, Average Loss  1.563202, Time  0.456346
2021-09-24 00:15:58.005505 : Epoch  1, Batch    233, Loss  1.494927, Average Loss  1.593611, Time  0.444164
2021-09-24 00:15:59.026979 : Epoch  1, Batch    255, Loss  1.497265, Average Loss  1.562401, Time  0.438367
2021-09-24 00:16:03.848360 : Epoch  1, Batch    234, Loss  1.492579, Average Loss  1.592603, Time  0.443194
2021-09-24 00:16:04.778016 : Epoch  1, Batch    256, Loss  1.500044, Average Loss  1.561554, Time  0.438977
2021-09-24 00:16:09.651775 : Epoch  1, Batch    235, Loss  1.493712, Average Loss  1.591667, Time  0.444926
2021-09-24 00:16:10.515681 : Epoch  1, Batch    257, Loss  1.494830, Average Loss  1.560706, Time  0.439993
2021-09-24 00:16:15.514752 : Epoch  1, Batch    236, Loss  1.478062, Average Loss  1.590667, Time  0.460179
2021-09-24 00:16:16.253483 : Epoch  1, Batch    258, Loss  1.504198, Average Loss  1.559914, Time  0.441511
2021-09-24 00:16:21.372035 : Epoch  1, Batch    237, Loss  1.492229, Average Loss  1.589691, Time  0.445209
2021-09-24 00:16:21.996537 : Epoch  1, Batch    259, Loss  1.487695, Average Loss  1.559076, Time  0.440259
2021-09-24 00:16:27.302314 : Epoch  1, Batch    238, Loss  1.484108, Average Loss  1.588629, Time  0.445682
2021-09-24 00:16:27.831962 : Epoch  1, Batch    260, Loss  1.475551, Average Loss  1.558156, Time  0.440785
2021-09-24 00:16:33.123530 : Epoch  1, Batch    239, Loss  1.481201, Average Loss  1.587647, Time  0.445844
2021-09-24 00:16:33.552833 : Epoch  1, Batch    261, Loss  1.481923, Average Loss  1.557254, Time  0.442299
2021-09-24 00:16:39.080274 : Epoch  1, Batch    240, Loss  1.501485, Average Loss  1.586832, Time  0.444401
2021-09-24 00:16:39.400920 : Epoch  1, Batch    262, Loss  1.486681, Average Loss  1.556433, Time  0.450585
2021-09-24 00:16:44.883733 : Epoch  1, Batch    241, Loss  1.491848, Average Loss  1.585848, Time  0.443350
2021-09-24 00:16:45.099359 : Epoch  1, Batch    263, Loss  1.494317, Average Loss  1.555623, Time  0.439514
2021-09-24 00:16:50.772571 : Epoch  1, Batch    242, Loss  1.492894, Average Loss  1.584931, Time  0.445010
2021-09-24 00:16:50.846605 : Epoch  1, Batch    264, Loss  1.491856, Average Loss  1.554801, Time  0.440545
2021-09-24 00:16:56.622714 : Epoch  1, Batch    265, Loss  1.487374, Average Loss  1.553951, Time  0.441217
2021-09-24 00:16:56.662517 : Epoch  1, Batch    243, Loss  1.501841, Average Loss  1.584073, Time  0.444189
2021-09-24 00:17:02.270179 : Epoch  1, Batch    266, Loss  1.482965, Average Loss  1.553043, Time  0.441017
2021-09-24 00:17:02.420411 : Epoch  1, Batch    244, Loss  1.495245, Average Loss  1.583223, Time  0.443527
2021-09-24 00:17:08.055425 : Epoch  1, Batch    267, Loss  1.489452, Average Loss  1.552181, Time  0.441422
2021-09-24 00:17:08.329027 : Epoch  1, Batch    245, Loss  1.487753, Average Loss  1.582313, Time  0.460452
2021-09-24 00:17:13.836380 : Epoch  1, Batch    268, Loss  1.490259, Average Loss  1.551307, Time  0.440024
2021-09-24 00:17:14.204286 : Epoch  1, Batch    246, Loss  1.488705, Average Loss  1.581408, Time  0.445027
2021-09-24 00:17:19.619488 : Epoch  1, Batch    269, Loss  1.490656, Average Loss  1.550494, Time  0.443152
2021-09-24 00:17:20.107797 : Epoch  1, Batch    247, Loss  1.479592, Average Loss  1.580455, Time  0.445622
2021-09-24 00:17:25.374782 : Epoch  1, Batch    270, Loss  1.493680, Average Loss  1.549666, Time  0.446279
2021-09-24 00:17:25.966837 : Epoch  1, Batch    248, Loss  1.481335, Average Loss  1.579505, Time  0.446092
2021-09-24 00:17:31.183184 : Epoch  1, Batch    271, Loss  1.499336, Average Loss  1.548872, Time  0.441116
2021-09-24 00:17:31.881919 : Epoch  1, Batch    249, Loss  1.485737, Average Loss  1.578630, Time  0.444663
2021-09-24 00:17:37.048718 : Epoch  1, Batch    272, Loss  1.490367, Average Loss  1.548019, Time  0.443211
2021-09-24 00:17:37.823413 : Epoch  1, Batch    250, Loss  1.495252, Average Loss  1.577741, Time  0.446115
2021-09-24 00:17:42.804741 : Epoch  1, Batch    273, Loss  1.504422, Average Loss  1.547243, Time  0.441474
2021-09-24 00:17:43.684994 : Epoch  1, Batch    251, Loss  1.489017, Average Loss  1.576887, Time  0.447433
2021-09-24 00:17:48.564505 : Epoch  1, Batch    274, Loss  1.496548, Average Loss  1.546460, Time  0.440094
2021-09-24 00:17:49.572566 : Epoch  1, Batch    252, Loss  1.487329, Average Loss  1.576017, Time  0.448662
2021-09-24 00:17:54.365423 : Epoch  1, Batch    275, Loss  1.500506, Average Loss  1.545703, Time  0.439918
2021-09-24 00:17:55.496236 : Epoch  1, Batch    253, Loss  1.489670, Average Loss  1.575144, Time  0.461634
2021-09-24 00:18:00.105781 : Epoch  1, Batch    276, Loss  1.493432, Average Loss  1.544828, Time  0.439489
2021-09-24 00:18:01.329066 : Epoch  1, Batch    254, Loss  1.497718, Average Loss  1.574311, Time  0.446854
2021-09-24 00:18:05.819333 : Epoch  1, Batch    277, Loss  1.490966, Average Loss  1.543977, Time  0.438973
2021-09-24 00:18:07.190956 : Epoch  1, Batch    255, Loss  1.500304, Average Loss  1.573517, Time  0.444787
2021-09-24 00:18:11.656082 : Epoch  1, Batch    278, Loss  1.487332, Average Loss  1.543169, Time  0.447631
2021-09-24 00:18:13.116809 : Epoch  1, Batch    256, Loss  1.494233, Average Loss  1.572694, Time  0.447920
2021-09-24 00:18:17.392093 : Epoch  1, Batch    279, Loss  1.482313, Average Loss  1.542294, Time  0.440135
2021-09-24 00:18:18.897337 : Epoch  1, Batch    257, Loss  1.492831, Average Loss  1.571809, Time  0.443252
2021-09-24 00:18:23.122503 : Epoch  1, Batch    280, Loss  1.493073, Average Loss  1.541462, Time  0.441198
2021-09-24 00:18:24.783621 : Epoch  1, Batch    258, Loss  1.486385, Average Loss  1.570935, Time  0.446620
2021-09-24 00:18:28.835777 : Epoch  1, Batch    281, Loss  1.508987, Average Loss  1.540738, Time  0.439930
2021-09-24 00:18:30.595988 : Epoch  1, Batch    259, Loss  1.482097, Average Loss  1.570032, Time  0.446604
2021-09-24 00:18:34.647358 : Epoch  1, Batch    282, Loss  1.485058, Average Loss  1.539856, Time  0.440497
2021-09-24 00:18:36.442274 : Epoch  1, Batch    260, Loss  1.487987, Average Loss  1.569164, Time  0.446196
2021-09-24 00:18:40.395644 : Epoch  1, Batch    283, Loss  1.492145, Average Loss  1.539051, Time  0.440302
2021-09-24 00:18:42.343011 : Epoch  1, Batch    261, Loss  1.498382, Average Loss  1.568357, Time  0.457544
2021-09-24 00:18:46.156828 : Epoch  1, Batch    284, Loss  1.498977, Average Loss  1.538285, Time  0.439541
2021-09-24 00:18:48.136796 : Epoch  1, Batch    262, Loss  1.490375, Average Loss  1.567510, Time  0.442553
2021-09-24 00:18:51.875186 : Epoch  1, Batch    285, Loss  1.482314, Average Loss  1.537413, Time  0.440089
2021-09-24 00:18:53.958066 : Epoch  1, Batch    263, Loss  1.488772, Average Loss  1.566612, Time  0.445568
2021-09-24 00:18:57.588569 : Epoch  1, Batch    286, Loss  1.479090, Average Loss  1.536554, Time  0.450819
2021-09-24 00:18:59.767093 : Epoch  1, Batch    264, Loss  1.498572, Average Loss  1.565750, Time  0.445727
2021-09-24 00:19:03.309383 : Epoch  1, Batch    287, Loss  1.492048, Average Loss  1.535759, Time  0.441154
2021-09-24 00:19:05.588757 : Epoch  1, Batch    265, Loss  1.489082, Average Loss  1.564847, Time  0.445218
2021-09-24 00:19:09.067515 : Epoch  1, Batch    288, Loss  1.491976, Average Loss  1.534884, Time  0.439820
2021-09-24 00:19:11.409712 : Epoch  1, Batch    266, Loss  1.485793, Average Loss  1.563995, Time  0.444082
2021-09-24 00:19:14.835547 : Epoch  1, Batch    289, Loss  1.479535, Average Loss  1.533981, Time  0.441036
2021-09-24 00:19:17.336199 : Epoch  1, Batch    267, Loss  1.490603, Average Loss  1.563181, Time  0.446582
2021-09-24 00:19:20.623765 : Epoch  1, Batch    290, Loss  1.487846, Average Loss  1.533119, Time  0.439682
2021-09-24 00:19:23.169650 : Epoch  1, Batch    268, Loss  1.486076, Average Loss  1.562321, Time  0.448642
2021-09-24 00:19:26.374176 : Epoch  1, Batch    291, Loss  1.491692, Average Loss  1.532310, Time  0.438374
2021-09-24 00:19:29.027776 : Epoch  1, Batch    269, Loss  1.494586, Average Loss  1.561449, Time  0.462890
2021-09-24 00:19:32.163723 : Epoch  1, Batch    292, Loss  1.485329, Average Loss  1.531406, Time  0.439526
2021-09-24 00:19:34.900334 : Epoch  1, Batch    270, Loss  1.483965, Average Loss  1.560581, Time  0.448892
2021-09-24 00:19:38.009866 : Epoch  1, Batch    293, Loss  1.488035, Average Loss  1.530549, Time  0.442844
2021-09-24 00:19:40.922449 : Epoch  1, Batch    271, Loss  1.492065, Average Loss  1.559704, Time  0.450012
2021-09-24 00:19:43.880248 : Epoch  1, Batch    294, Loss  1.488265, Average Loss  1.529678, Time  0.452707
2021-09-24 00:19:46.795840 : Epoch  1, Batch    272, Loss  1.484043, Average Loss  1.558798, Time  0.444589
2021-09-24 00:19:49.707778 : Epoch  1, Batch    295, Loss  1.488771, Average Loss  1.528800, Time  0.442121
2021-09-24 00:19:52.808062 : Epoch  1, Batch    273, Loss  1.501305, Average Loss  1.558025, Time  0.447762
2021-09-24 00:19:55.606088 : Epoch  1, Batch    296, Loss  1.482782, Average Loss  1.527942, Time  0.442426
2021-09-24 00:19:58.657965 : Epoch  1, Batch    274, Loss  1.489082, Average Loss  1.557203, Time  0.444232
2021-09-24 00:20:01.322423 : Epoch  1, Batch    297, Loss  1.494666, Average Loss  1.527133, Time  0.440036
2021-09-24 00:20:04.440382 : Epoch  1, Batch    275, Loss  1.477028, Average Loss  1.556299, Time  0.446540
2021-09-24 00:20:07.027740 : Epoch  1, Batch    298, Loss  1.489891, Average Loss  1.526345, Time  0.442766
2021-09-24 00:20:10.263023 : Epoch  1, Batch    276, Loss  1.502978, Average Loss  1.555516, Time  0.444275
2021-09-24 00:20:12.755749 : Epoch  1, Batch    299, Loss  1.485884, Average Loss  1.525484, Time  0.439054
2021-09-24 00:20:16.076242 : Epoch  1, Batch    277, Loss  1.486552, Average Loss  1.554633, Time  0.458197
2021-09-24 00:20:18.492923 : Epoch  1, Batch    300, Loss  1.474014, Average Loss  1.524557, Time  0.441104
2021-09-24 00:20:21.948042 : Epoch  1, Batch    278, Loss  1.495747, Average Loss  1.553828, Time  0.448326
2021-09-24 00:20:27.759363 : Epoch  1, Batch    279, Loss  1.494594, Average Loss  1.552999, Time  0.444759
2021-09-24 00:20:33.542631 : Epoch  1, Batch    280, Loss  1.490612, Average Loss  1.552185, Time  0.446285
2021-09-24 00:20:39.378696 : Epoch  1, Batch    281, Loss  1.486030, Average Loss  1.551334, Time  0.446069
2021-09-24 00:20:45.269995 : Epoch  1, Batch    282, Loss  1.482185, Average Loss  1.550483, Time  0.444837
2021-09-24 00:20:51.097851 : Epoch  1, Batch    283, Loss  1.490949, Average Loss  1.549662, Time  0.443750
2021-09-24 00:20:56.949919 : Epoch  1, Batch    284, Loss  1.493814, Average Loss  1.548797, Time  0.447237
2021-09-24 00:21:02.793157 : Epoch  1, Batch    285, Loss  1.484817, Average Loss  1.547889, Time  0.459985
2021-09-24 00:21:08.611782 : Epoch  1, Batch    286, Loss  1.486911, Average Loss  1.547040, Time  0.443878
2021-09-24 00:21:14.539030 : Epoch  1, Batch    287, Loss  1.479815, Average Loss  1.546143, Time  0.444809
2021-09-24 00:21:20.354966 : Epoch  1, Batch    288, Loss  1.478410, Average Loss  1.545263, Time  0.445508
2021-09-24 00:21:26.297790 : Epoch  1, Batch    289, Loss  1.489374, Average Loss  1.544415, Time  0.448066
2021-09-24 00:21:32.289500 : Epoch  1, Batch    290, Loss  1.486165, Average Loss  1.543579, Time  0.447913
2021-09-24 00:21:38.342598 : Epoch  1, Batch    291, Loss  1.494869, Average Loss  1.542804, Time  0.448211
2021-09-24 00:21:44.376085 : Epoch  1, Batch    292, Loss  1.485204, Average Loss  1.541911, Time  0.447500
2021-09-24 00:21:50.451098 : Epoch  1, Batch    293, Loss  1.486303, Average Loss  1.541092, Time  0.461709
2021-09-24 00:21:56.504913 : Epoch  1, Batch    294, Loss  1.486211, Average Loss  1.540247, Time  0.445331
2021-09-24 00:22:02.550441 : Epoch  1, Batch    295, Loss  1.489973, Average Loss  1.539397, Time  0.447607
2021-09-24 00:22:08.570575 : Epoch  1, Batch    296, Loss  1.485853, Average Loss  1.538507, Time  0.444466
2021-09-24 00:22:14.612734 : Epoch  1, Batch    297, Loss  1.485872, Average Loss  1.537668, Time  0.447926
2021-09-24 00:22:20.648494 : Epoch  1, Batch    298, Loss  1.482231, Average Loss  1.536752, Time  0.445487
2021-09-24 00:22:26.562982 : Epoch  1, Batch    299, Loss  1.492858, Average Loss  1.535895, Time  0.444808
2021-09-24 00:22:32.261420 : Epoch  1, Batch    300, Loss  1.487995, Average Loss  1.535049, Time  0.443245
2021-09-24 00:24:52.592732 : CheckPoint: Validation Loss  0.00025603, Best Loss  0.00025603
2021-09-24 00:24:52.635272 : Best Model Updated
2021-09-24 00:24:59.225890 : Epoch  1, Batch    301, Loss  1.492671, Average Loss  1.523774, Time  0.442794
2021-09-24 00:25:05.194959 : Epoch  1, Batch    302, Loss  1.484490, Average Loss  1.522883, Time  0.441033
2021-09-24 00:25:11.157890 : Epoch  1, Batch    303, Loss  1.481863, Average Loss  1.522011, Time  0.453477
2021-09-24 00:25:17.129384 : Epoch  1, Batch    304, Loss  1.486254, Average Loss  1.521166, Time  0.441702
2021-09-24 00:25:23.094198 : Epoch  1, Batch    305, Loss  1.478304, Average Loss  1.520271, Time  0.439815
2021-09-24 00:25:29.070255 : Epoch  1, Batch    306, Loss  1.490347, Average Loss  1.519435, Time  0.442916
2021-09-24 00:25:35.056727 : Epoch  1, Batch    307, Loss  1.472590, Average Loss  1.518467, Time  0.442895
2021-09-24 00:25:41.028386 : Epoch  1, Batch    308, Loss  1.474939, Average Loss  1.517558, Time  0.446365
2021-09-24 00:25:47.009635 : Epoch  1, Batch    309, Loss  1.484078, Average Loss  1.516733, Time  0.441224
2021-09-24 00:25:52.998146 : Epoch  1, Batch    310, Loss  1.482020, Average Loss  1.515878, Time  0.460906
2021-09-24 00:25:58.986153 : Epoch  1, Batch    311, Loss  1.468527, Average Loss  1.514935, Time  0.440495
2021-09-24 00:26:04.972433 : Epoch  1, Batch    312, Loss  1.476583, Average Loss  1.514092, Time  0.442600
2021-09-24 00:26:10.954754 : Epoch  1, Batch    313, Loss  1.486917, Average Loss  1.513273, Time  0.440901
2021-09-24 00:26:16.928400 : Epoch  1, Batch    314, Loss  1.485958, Average Loss  1.512488, Time  0.440752
2021-09-24 00:26:22.897993 : Epoch  1, Batch    315, Loss  1.480801, Average Loss  1.511654, Time  0.441773
2021-09-24 00:26:28.883769 : Epoch  1, Batch    316, Loss  1.486021, Average Loss  1.510842, Time  0.445354
2021-09-24 00:26:34.870009 : Epoch  1, Batch    317, Loss  1.475761, Average Loss  1.510022, Time  0.440891
2021-09-24 00:26:40.853780 : Epoch  1, Batch    318, Loss  1.485042, Average Loss  1.509199, Time  0.454610
2021-09-24 00:26:46.834851 : Epoch  1, Batch    319, Loss  1.483222, Average Loss  1.508457, Time  0.445264
2021-09-24 00:26:52.802176 : Epoch  1, Batch    320, Loss  1.479023, Average Loss  1.507637, Time  0.441857
2021-09-24 00:26:58.769090 : Epoch  1, Batch    321, Loss  1.493305, Average Loss  1.506916, Time  0.440355
2021-09-24 00:27:04.761956 : Epoch  1, Batch    322, Loss  1.494015, Average Loss  1.506214, Time  0.442376
2021-09-24 00:27:10.746288 : Epoch  1, Batch    323, Loss  1.483184, Average Loss  1.505440, Time  0.440171
2021-09-24 00:27:12.255786 : CheckPoint: Validation Loss  0.00026103, Best Loss  0.00025996
2021-09-24 00:27:16.729421 : Epoch  1, Batch    324, Loss  1.479212, Average Loss  1.504659, Time  0.441986
2021-09-24 00:27:18.240759 : Epoch  1, Batch    301, Loss  1.483284, Average Loss  1.534195, Time  0.457877
2021-09-24 00:27:22.699016 : Epoch  1, Batch    325, Loss  1.489690, Average Loss  1.503954, Time  0.440965
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2021-09-24 00:35:42.279487 : Epoch  1, Batch    385, Loss  1.471638, Average Loss  1.486212, Time  0.444794
2021-09-24 00:35:48.295123 : Epoch  1, Batch    386, Loss  1.462907, Average Loss  1.486062, Time  0.453521
2021-09-24 00:35:54.277795 : Epoch  1, Batch    387, Loss  1.486838, Average Loss  1.485969, Time  0.446755
2021-09-24 00:36:00.270504 : Epoch  1, Batch    388, Loss  1.476152, Average Loss  1.485927, Time  0.459091
2021-09-24 00:36:06.262863 : Epoch  1, Batch    389, Loss  1.467741, Average Loss  1.485719, Time  0.447061
2021-09-24 00:36:12.255680 : Epoch  1, Batch    390, Loss  1.462921, Average Loss  1.485572, Time  0.446431
2021-09-24 00:36:18.253814 : Epoch  1, Batch    391, Loss  1.481488, Average Loss  1.485441, Time  0.445451
2021-09-24 00:36:24.251885 : Epoch  1, Batch    392, Loss  1.473597, Average Loss  1.485275, Time  0.455220
2021-09-24 00:36:30.246048 : Epoch  1, Batch    393, Loss  1.455995, Average Loss  1.485031, Time  0.446515
2021-09-24 00:36:36.227866 : Epoch  1, Batch    394, Loss  1.481245, Average Loss  1.484909, Time  0.444561
2021-09-24 00:36:42.204082 : Epoch  1, Batch    395, Loss  1.475304, Average Loss  1.484795, Time  0.450523
2021-09-24 00:36:48.188408 : Epoch  1, Batch    396, Loss  1.457807, Average Loss  1.484605, Time  0.465316
2021-09-24 00:36:54.181989 : Epoch  1, Batch    397, Loss  1.479938, Average Loss  1.484509, Time  0.445464
2021-09-24 00:37:00.161062 : Epoch  1, Batch    398, Loss  1.476278, Average Loss  1.484337, Time  0.446374
2021-09-24 00:37:06.148222 : Epoch  1, Batch    399, Loss  1.471055, Average Loss  1.484155, Time  0.448407
2021-09-24 00:37:12.136625 : Epoch  1, Batch    400, Loss  1.469151, Average Loss  1.483975, Time  0.446743
2021-09-24 00:39:33.459513 : CheckPoint: Validation Loss  0.00025486, Best Loss  0.00025486
2021-09-24 00:39:33.491657 : Best Model Updated
2021-09-24 00:39:40.115680 : Epoch  1, Batch    401, Loss  1.456175, Average Loss  1.484257, Time  0.455473
2021-09-24 00:39:46.091365 : Epoch  1, Batch    402, Loss  1.482558, Average Loss  1.484158, Time  0.441823
2021-09-24 00:39:52.067863 : Epoch  1, Batch    403, Loss  1.477544, Average Loss  1.484085, Time  0.444740
2021-09-24 00:39:58.032150 : Epoch  1, Batch    404, Loss  1.463949, Average Loss  1.483865, Time  0.439867
2021-09-24 00:40:03.981834 : Epoch  1, Batch    405, Loss  1.491787, Average Loss  1.483807, Time  0.438824
2021-09-24 00:40:09.952136 : Epoch  1, Batch    406, Loss  1.456262, Average Loss  1.483541, Time  0.442223
2021-09-24 00:40:15.928115 : Epoch  1, Batch    407, Loss  1.467568, Average Loss  1.483412, Time  0.440409
2021-09-24 00:40:21.903156 : Epoch  1, Batch    408, Loss  1.461818, Average Loss  1.483261, Time  0.454901
2021-09-24 00:40:27.872850 : Epoch  1, Batch    409, Loss  1.462043, Average Loss  1.483101, Time  0.440691
2021-09-24 00:40:33.829514 : Epoch  1, Batch    410, Loss  1.466998, Average Loss  1.482943, Time  0.439449
2021-09-24 00:40:39.795280 : Epoch  1, Batch    411, Loss  1.460427, Average Loss  1.482748, Time  0.442199
2021-09-24 00:40:45.754690 : Epoch  1, Batch    412, Loss  1.460680, Average Loss  1.482539, Time  0.443002
2021-09-24 00:40:51.725092 : Epoch  1, Batch    413, Loss  1.468164, Average Loss  1.482381, Time  0.440813
2021-09-24 00:40:57.682357 : Epoch  1, Batch    414, Loss  1.462553, Average Loss  1.482236, Time  0.439420
2021-09-24 00:41:03.639859 : Epoch  1, Batch    415, Loss  1.448376, Average Loss  1.482012, Time  0.441333
2021-09-24 00:41:09.600550 : Epoch  1, Batch    416, Loss  1.464641, Average Loss  1.481879, Time  0.449510
2021-09-24 00:41:15.552601 : Epoch  1, Batch    417, Loss  1.465793, Average Loss  1.481749, Time  0.443997
2021-09-24 00:41:19.942328 : Epoch  1, Batch    418, Loss  1.471431, Average Loss  1.481594, Time  0.343241
2021-09-24 00:41:25.904289 : Epoch  1, Batch    419, Loss  1.457613, Average Loss  1.481442, Time  0.441705
2021-09-24 00:41:31.859909 : Epoch  1, Batch    420, Loss  1.449927, Average Loss  1.481244, Time  0.442104
2021-09-24 00:41:37.817216 : Epoch  1, Batch    421, Loss  1.470233, Average Loss  1.481150, Time  0.442211
2021-09-24 00:41:43.794366 : Epoch  1, Batch    422, Loss  1.464025, Average Loss  1.480986, Time  0.440193
2021-09-24 00:41:49.764767 : Epoch  1, Batch    423, Loss  1.461004, Average Loss  1.480865, Time  0.441451
2021-09-24 00:41:55.743495 : Epoch  1, Batch    424, Loss  1.469629, Average Loss  1.480707, Time  0.450457
2021-09-24 00:41:57.015800 : CheckPoint: Validation Loss  0.00025640, Best Loss  0.00025640
2021-09-24 00:41:57.077393 : Best Model Updated
2021-09-24 00:42:01.730167 : Epoch  1, Batch    425, Loss  1.469064, Average Loss  1.480619, Time  0.440024
2021-09-24 00:42:03.705025 : Epoch  1, Batch    401, Loss  1.479955, Average Loss  1.483923, Time  0.445997
2021-09-24 00:42:07.698213 : Epoch  1, Batch    426, Loss  1.465701, Average Loss  1.480438, Time  0.439403
2021-09-24 00:42:09.699030 : Epoch  1, Batch    402, Loss  1.473158, Average Loss  1.483751, Time  0.457895
2021-09-24 00:42:13.651680 : Epoch  1, Batch    427, Loss  1.468604, Average Loss  1.480307, Time  0.440267
2021-09-24 00:42:15.680843 : Epoch  1, Batch    403, Loss  1.463029, Average Loss  1.483558, Time  0.446648
2021-09-24 00:42:19.618540 : Epoch  1, Batch    428, Loss  1.468316, Average Loss  1.480241, Time  0.445105
2021-09-24 00:42:21.666455 : Epoch  1, Batch    404, Loss  1.466422, Average Loss  1.483374, Time  0.446685
2021-09-24 00:42:25.598377 : Epoch  1, Batch    429, Loss  1.456695, Average Loss  1.480048, Time  0.439890
2021-09-24 00:42:27.650958 : Epoch  1, Batch    405, Loss  1.471342, Average Loss  1.483243, Time  0.446338
2021-09-24 00:42:31.567862 : Epoch  1, Batch    430, Loss  1.468721, Average Loss  1.479902, Time  0.441855
2021-09-24 00:42:33.646232 : Epoch  1, Batch    406, Loss  1.465434, Average Loss  1.483128, Time  0.446793
2021-09-24 00:42:37.533535 : Epoch  1, Batch    431, Loss  1.469508, Average Loss  1.479759, Time  0.441875
2021-09-24 00:42:39.643266 : Epoch  1, Batch    407, Loss  1.474872, Average Loss  1.483011, Time  0.447175
2021-09-24 00:42:43.505900 : Epoch  1, Batch    432, Loss  1.461103, Average Loss  1.479555, Time  0.453262
2021-09-24 00:42:45.625545 : Epoch  1, Batch    408, Loss  1.470046, Average Loss  1.482904, Time  0.447938
2021-09-24 00:42:49.479865 : Epoch  1, Batch    433, Loss  1.472371, Average Loss  1.479477, Time  0.443457
2021-09-24 00:42:51.618343 : Epoch  1, Batch    409, Loss  1.472958, Average Loss  1.482718, Time  0.454450
2021-09-24 00:42:55.440605 : Epoch  1, Batch    434, Loss  1.461704, Average Loss  1.479323, Time  0.445967
2021-09-24 00:42:57.596945 : Epoch  1, Batch    410, Loss  1.470280, Average Loss  1.482580, Time  0.447047
2021-09-24 00:43:01.412713 : Epoch  1, Batch    435, Loss  1.449494, Average Loss  1.479113, Time  0.443187
2021-09-24 00:43:03.592501 : Epoch  1, Batch    411, Loss  1.467684, Average Loss  1.482491, Time  0.451730
2021-09-24 00:43:07.380139 : Epoch  1, Batch    436, Loss  1.463898, Average Loss  1.478941, Time  0.441052
2021-09-24 00:43:09.564333 : Epoch  1, Batch    412, Loss  1.469155, Average Loss  1.482356, Time  0.445904
2021-09-24 00:43:13.348078 : Epoch  1, Batch    437, Loss  1.466938, Average Loss  1.478844, Time  0.440060
2021-09-24 00:43:15.553625 : Epoch  1, Batch    413, Loss  1.468774, Average Loss  1.482214, Time  0.445584
2021-09-24 00:43:19.303835 : Epoch  1, Batch    438, Loss  1.463069, Average Loss  1.478645, Time  0.440218
2021-09-24 00:43:21.530037 : Epoch  1, Batch    414, Loss  1.470844, Average Loss  1.482072, Time  0.450729
2021-09-24 00:43:25.284192 : Epoch  1, Batch    439, Loss  1.450511, Average Loss  1.478366, Time  0.453272
2021-09-24 00:43:27.515336 : Epoch  1, Batch    415, Loss  1.471022, Average Loss  1.481963, Time  0.444760
2021-09-24 00:43:31.245006 : Epoch  1, Batch    440, Loss  1.461524, Average Loss  1.478181, Time  0.439146
2021-09-24 00:43:33.489251 : Epoch  1, Batch    416, Loss  1.472420, Average Loss  1.481810, Time  0.445470
2021-09-24 00:43:37.214704 : Epoch  1, Batch    441, Loss  1.466772, Average Loss  1.478054, Time  0.442654
2021-09-24 00:43:39.482595 : Epoch  1, Batch    417, Loss  1.463506, Average Loss  1.481719, Time  0.460749
2021-09-24 00:43:43.175097 : Epoch  1, Batch    442, Loss  1.472490, Average Loss  1.477977, Time  0.443711
2021-09-24 00:43:45.469487 : Epoch  1, Batch    418, Loss  1.470789, Average Loss  1.481623, Time  0.446931
2021-09-24 00:43:49.177997 : Epoch  1, Batch    443, Loss  1.460569, Average Loss  1.477781, Time  0.451009
2021-09-24 00:43:51.457242 : Epoch  1, Batch    419, Loss  1.464306, Average Loss  1.481407, Time  0.446499
2021-09-24 00:43:55.142888 : Epoch  1, Batch    444, Loss  1.461985, Average Loss  1.477667, Time  0.441750
2021-09-24 00:43:57.444555 : Epoch  1, Batch    420, Loss  1.465320, Average Loss  1.481245, Time  0.445049
2021-09-24 00:44:01.099479 : Epoch  1, Batch    445, Loss  1.470318, Average Loss  1.477530, Time  0.438710
2021-09-24 00:44:03.416410 : Epoch  1, Batch    421, Loss  1.479976, Average Loss  1.481198, Time  0.445290
2021-09-24 00:44:07.076774 : Epoch  1, Batch    446, Loss  1.464336, Average Loss  1.477383, Time  0.443621
2021-09-24 00:44:09.413731 : Epoch  1, Batch    422, Loss  1.478294, Average Loss  1.481145, Time  0.451035
2021-09-24 00:44:13.052956 : Epoch  1, Batch    447, Loss  1.459275, Average Loss  1.477210, Time  0.455829
2021-09-24 00:44:15.392863 : Epoch  1, Batch    423, Loss  1.475270, Average Loss  1.481072, Time  0.450485
2021-09-24 00:44:19.021848 : Epoch  1, Batch    448, Loss  1.456369, Average Loss  1.476994, Time  0.439231
2021-09-24 00:44:21.379132 : Epoch  1, Batch    424, Loss  1.467460, Average Loss  1.480906, Time  0.447283
2021-09-24 00:44:24.982978 : Epoch  1, Batch    449, Loss  1.460872, Average Loss  1.476916, Time  0.439837
2021-09-24 00:44:27.374140 : Epoch  1, Batch    425, Loss  1.463133, Average Loss  1.480786, Time  0.455549
2021-09-24 00:44:30.955294 : Epoch  1, Batch    450, Loss  1.455185, Average Loss  1.476775, Time  0.442005
2021-09-24 00:44:33.372507 : Epoch  1, Batch    426, Loss  1.470797, Average Loss  1.480730, Time  0.446802
2021-09-24 00:44:36.935993 : Epoch  1, Batch    451, Loss  1.478128, Average Loss  1.476700, Time  0.442147
2021-09-24 00:44:39.368517 : Epoch  1, Batch    427, Loss  1.474254, Average Loss  1.480625, Time  0.450251
2021-09-24 00:44:42.916411 : Epoch  1, Batch    452, Loss  1.469053, Average Loss  1.476557, Time  0.439609
2021-09-24 00:44:45.377020 : Epoch  1, Batch    428, Loss  1.478634, Average Loss  1.480558, Time  0.445649
2021-09-24 00:44:48.890232 : Epoch  1, Batch    453, Loss  1.474825, Average Loss  1.476493, Time  0.442946
2021-09-24 00:44:51.365516 : Epoch  1, Batch    429, Loss  1.464824, Average Loss  1.480417, Time  0.446120
2021-09-24 00:44:54.864564 : Epoch  1, Batch    454, Loss  1.471188, Average Loss  1.476388, Time  0.439944
2021-09-24 00:44:57.365368 : Epoch  1, Batch    430, Loss  1.468122, Average Loss  1.480261, Time  0.444701
2021-09-24 00:45:00.837214 : Epoch  1, Batch    455, Loss  1.477770, Average Loss  1.476291, Time  0.454268
2021-09-24 00:45:03.339732 : Epoch  1, Batch    431, Loss  1.486539, Average Loss  1.480274, Time  0.444516
2021-09-24 00:45:06.794355 : Epoch  1, Batch    456, Loss  1.450939, Average Loss  1.476045, Time  0.440702
2021-09-24 00:45:09.314311 : Epoch  1, Batch    432, Loss  1.475929, Average Loss  1.480234, Time  0.444384
2021-09-24 00:45:12.765797 : Epoch  1, Batch    457, Loss  1.465048, Average Loss  1.475896, Time  0.438763
2021-09-24 00:45:15.306591 : Epoch  1, Batch    433, Loss  1.475148, Average Loss  1.480135, Time  0.456609
2021-09-24 00:45:18.729601 : Epoch  1, Batch    458, Loss  1.452728, Average Loss  1.475639, Time  0.440308
2021-09-24 00:45:21.285549 : Epoch  1, Batch    434, Loss  1.462572, Average Loss  1.479985, Time  0.444655
2021-09-24 00:45:24.708977 : Epoch  1, Batch    459, Loss  1.472302, Average Loss  1.475562, Time  0.443530
2021-09-24 00:45:27.268072 : Epoch  1, Batch    435, Loss  1.459501, Average Loss  1.479814, Time  0.447626
2021-09-24 00:45:30.685727 : Epoch  1, Batch    460, Loss  1.468437, Average Loss  1.475527, Time  0.440238
2021-09-24 00:45:33.253836 : Epoch  1, Batch    436, Loss  1.463797, Average Loss  1.479742, Time  0.446949
2021-09-24 00:45:36.654775 : Epoch  1, Batch    461, Loss  1.476369, Average Loss  1.475499, Time  0.441718
2021-09-24 00:45:39.244071 : Epoch  1, Batch    437, Loss  1.473927, Average Loss  1.479651, Time  0.446584
2021-09-24 00:45:42.617678 : Epoch  1, Batch    462, Loss  1.455433, Average Loss  1.475343, Time  0.442910
2021-09-24 00:45:45.245778 : Epoch  1, Batch    438, Loss  1.460114, Average Loss  1.479531, Time  0.448839
2021-09-24 00:45:48.615988 : Epoch  1, Batch    463, Loss  1.463523, Average Loss  1.475189, Time  0.455877
2021-09-24 00:45:51.243486 : Epoch  1, Batch    439, Loss  1.476496, Average Loss  1.479507, Time  0.449882
2021-09-24 00:45:54.618626 : Epoch  1, Batch    464, Loss  1.467371, Average Loss  1.475066, Time  0.440708
2021-09-24 00:45:57.226541 : Epoch  1, Batch    440, Loss  1.464084, Average Loss  1.479320, Time  0.446244
2021-09-24 00:46:00.603013 : Epoch  1, Batch    465, Loss  1.464709, Average Loss  1.474953, Time  0.440760
2021-09-24 00:46:03.228658 : Epoch  1, Batch    441, Loss  1.471199, Average Loss  1.479217, Time  0.457898
2021-09-24 00:46:06.554837 : Epoch  1, Batch    466, Loss  1.460357, Average Loss  1.474840, Time  0.439410
2021-09-24 00:46:09.216088 : Epoch  1, Batch    442, Loss  1.455817, Average Loss  1.479032, Time  0.445514
2021-09-24 00:46:12.508446 : Epoch  1, Batch    467, Loss  1.455776, Average Loss  1.474671, Time  0.441749
2021-09-24 00:46:15.200657 : Epoch  1, Batch    443, Loss  1.471721, Average Loss  1.478881, Time  0.446784
2021-09-24 00:46:18.481758 : Epoch  1, Batch    468, Loss  1.462121, Average Loss  1.474531, Time  0.440833
2021-09-24 00:46:21.181795 : Epoch  1, Batch    444, Loss  1.482773, Average Loss  1.478819, Time  0.445486
2021-09-24 00:46:24.464867 : Epoch  1, Batch    469, Loss  1.458104, Average Loss  1.474368, Time  0.442552
2021-09-24 00:46:27.172359 : Epoch  1, Batch    445, Loss  1.464687, Average Loss  1.478704, Time  0.452288
2021-09-24 00:46:30.458523 : Epoch  1, Batch    470, Loss  1.467228, Average Loss  1.474236, Time  0.456607
2021-09-24 00:46:33.154355 : Epoch  1, Batch    446, Loss  1.480463, Average Loss  1.478662, Time  0.444426
2021-09-24 00:46:36.437361 : Epoch  1, Batch    471, Loss  1.455728, Average Loss  1.474018, Time  0.441641
2021-09-24 00:46:39.167515 : Epoch  1, Batch    447, Loss  1.470642, Average Loss  1.478618, Time  0.448773
2021-09-24 00:46:42.414797 : Epoch  1, Batch    472, Loss  1.465393, Average Loss  1.473893, Time  0.441843
2021-09-24 00:46:45.164100 : Epoch  1, Batch    448, Loss  1.470094, Average Loss  1.478561, Time  0.450272
2021-09-24 00:46:48.372551 : Epoch  1, Batch    473, Loss  1.460722, Average Loss  1.473674, Time  0.439517
2021-09-24 00:46:51.184516 : Epoch  1, Batch    449, Loss  1.465573, Average Loss  1.478461, Time  0.459503
2021-09-24 00:46:54.357175 : Epoch  1, Batch    474, Loss  1.461202, Average Loss  1.473498, Time  0.441430
2021-09-24 00:46:57.174626 : Epoch  1, Batch    450, Loss  1.462652, Average Loss  1.478298, Time  0.449707
2021-09-24 00:47:00.324751 : Epoch  1, Batch    475, Loss  1.471450, Average Loss  1.473352, Time  0.446751
2021-09-24 00:47:03.168297 : Epoch  1, Batch    451, Loss  1.458989, Average Loss  1.478147, Time  0.447880
2021-09-24 00:47:06.289759 : Epoch  1, Batch    476, Loss  1.458931, Average Loss  1.473180, Time  0.439917
2021-09-24 00:47:09.151854 : Epoch  1, Batch    452, Loss  1.463096, Average Loss  1.478026, Time  0.444736
2021-09-24 00:47:12.267438 : Epoch  1, Batch    477, Loss  1.436385, Average Loss  1.472907, Time  0.441092
2021-09-24 00:47:15.134744 : Epoch  1, Batch    453, Loss  1.470219, Average Loss  1.477929, Time  0.444417
2021-09-24 00:47:18.246155 : Epoch  1, Batch    478, Loss  1.459333, Average Loss  1.472767, Time  0.452044
2021-09-24 00:47:21.113980 : Epoch  1, Batch    454, Loss  1.478345, Average Loss  1.477832, Time  0.444852
2021-09-24 00:47:24.218667 : Epoch  1, Batch    479, Loss  1.467658, Average Loss  1.472694, Time  0.440797
2021-09-24 00:47:27.113895 : Epoch  1, Batch    455, Loss  1.474514, Average Loss  1.477703, Time  0.448135
2021-09-24 00:47:30.176750 : Epoch  1, Batch    480, Loss  1.463942, Average Loss  1.472548, Time  0.440667
2021-09-24 00:47:33.096890 : Epoch  1, Batch    456, Loss  1.468556, Average Loss  1.477575, Time  0.449980
2021-09-24 00:47:36.142312 : Epoch  1, Batch    481, Loss  1.464514, Average Loss  1.472326, Time  0.440378
2021-09-24 00:47:39.097743 : Epoch  1, Batch    457, Loss  1.474965, Average Loss  1.477485, Time  0.463070
2021-09-24 00:47:42.110799 : Epoch  1, Batch    482, Loss  1.468262, Average Loss  1.472242, Time  0.438707
2021-09-24 00:47:45.097127 : Epoch  1, Batch    458, Loss  1.464206, Average Loss  1.477375, Time  0.446643
2021-09-24 00:47:48.070662 : Epoch  1, Batch    483, Loss  1.453108, Average Loss  1.472046, Time  0.442151
2021-09-24 00:47:51.092775 : Epoch  1, Batch    459, Loss  1.472757, Average Loss  1.477328, Time  0.445253
2021-09-24 00:47:54.036990 : Epoch  1, Batch    484, Loss  1.467781, Average Loss  1.471890, Time  0.440390
2021-09-24 00:47:57.081407 : Epoch  1, Batch    460, Loss  1.473604, Average Loss  1.477256, Time  0.445709
2021-09-24 00:48:00.010876 : Epoch  1, Batch    485, Loss  1.459436, Average Loss  1.471776, Time  0.451649
2021-09-24 00:48:03.066692 : Epoch  1, Batch    461, Loss  1.470229, Average Loss  1.477115, Time  0.445780
2021-09-24 00:48:05.958225 : Epoch  1, Batch    486, Loss  1.463625, Average Loss  1.471699, Time  0.439500
2021-09-24 00:48:09.060862 : Epoch  1, Batch    462, Loss  1.477572, Average Loss  1.477051, Time  0.444658
2021-09-24 00:48:11.914543 : Epoch  1, Batch    487, Loss  1.456128, Average Loss  1.471519, Time  0.439000
2021-09-24 00:48:15.044012 : Epoch  1, Batch    463, Loss  1.469833, Average Loss  1.476956, Time  0.444994
2021-09-24 00:48:17.869413 : Epoch  1, Batch    488, Loss  1.470616, Average Loss  1.471412, Time  0.441471
2021-09-24 00:48:21.050890 : Epoch  1, Batch    464, Loss  1.468287, Average Loss  1.476805, Time  0.462610
2021-09-24 00:48:23.840400 : Epoch  1, Batch    489, Loss  1.455256, Average Loss  1.471291, Time  0.440388
2021-09-24 00:48:27.035657 : Epoch  1, Batch    465, Loss  1.472507, Average Loss  1.476722, Time  0.448413
2021-09-24 00:48:29.802500 : Epoch  1, Batch    490, Loss  1.462654, Average Loss  1.471165, Time  0.442212
2021-09-24 00:48:33.020941 : Epoch  1, Batch    466, Loss  1.472694, Average Loss  1.476657, Time  0.446316
2021-09-24 00:48:35.759448 : Epoch  1, Batch    491, Loss  1.456154, Average Loss  1.470987, Time  0.440912
2021-09-24 00:48:39.022819 : Epoch  1, Batch    467, Loss  1.464573, Average Loss  1.476527, Time  0.446788
2021-09-24 00:48:41.715000 : Epoch  1, Batch    492, Loss  1.471747, Average Loss  1.470919, Time  0.448324
2021-09-24 00:48:45.005656 : Epoch  1, Batch    468, Loss  1.455456, Average Loss  1.476373, Time  0.446752
2021-09-24 00:48:47.676875 : Epoch  1, Batch    493, Loss  1.464141, Average Loss  1.470800, Time  0.452769
2021-09-24 00:48:50.992839 : Epoch  1, Batch    469, Loss  1.462486, Average Loss  1.476213, Time  0.445682
2021-09-24 00:48:53.626450 : Epoch  1, Batch    494, Loss  1.467117, Average Loss  1.470694, Time  0.438877
2021-09-24 00:48:56.981251 : Epoch  1, Batch    470, Loss  1.468772, Average Loss  1.476137, Time  0.445850
2021-09-24 00:48:59.565812 : Epoch  1, Batch    495, Loss  1.456327, Average Loss  1.470532, Time  0.439024
2021-09-24 00:49:02.970819 : Epoch  1, Batch    471, Loss  1.465760, Average Loss  1.476005, Time  0.449978
2021-09-24 00:49:05.515501 : Epoch  1, Batch    496, Loss  1.452751, Average Loss  1.470382, Time  0.439334
2021-09-24 00:49:08.963987 : Epoch  1, Batch    472, Loss  1.463598, Average Loss  1.475903, Time  0.456237
2021-09-24 00:49:11.467575 : Epoch  1, Batch    497, Loss  1.460693, Average Loss  1.470212, Time  0.438822
2021-09-24 00:49:14.954152 : Epoch  1, Batch    473, Loss  1.469757, Average Loss  1.475745, Time  0.448536
2021-09-24 00:49:17.414379 : Epoch  1, Batch    498, Loss  1.460666, Average Loss  1.470066, Time  0.438505
2021-09-24 00:49:20.929874 : Epoch  1, Batch    474, Loss  1.474203, Average Loss  1.475671, Time  0.444520
2021-09-24 00:49:23.367393 : Epoch  1, Batch    499, Loss  1.462364, Average Loss  1.469948, Time  0.439243
2021-09-24 00:49:26.928985 : Epoch  1, Batch    475, Loss  1.458598, Average Loss  1.475579, Time  0.446808
2021-09-24 00:49:29.308322 : Epoch  1, Batch    500, Loss  1.456117, Average Loss  1.469859, Time  0.442561
2021-09-24 00:49:32.929576 : Epoch  1, Batch    476, Loss  1.468354, Average Loss  1.475406, Time  0.446567
2021-09-24 00:49:38.933502 : Epoch  1, Batch    477, Loss  1.470785, Average Loss  1.475327, Time  0.448811
2021-09-24 00:49:44.914337 : Epoch  1, Batch    478, Loss  1.466195, Average Loss  1.475179, Time  0.446306
2021-09-24 00:49:50.915778 : Epoch  1, Batch    479, Loss  1.475723, Average Loss  1.475085, Time  0.456063
2021-09-24 00:49:56.913276 : Epoch  1, Batch    480, Loss  1.460702, Average Loss  1.474935, Time  0.445134
2021-09-24 00:50:02.890378 : Epoch  1, Batch    481, Loss  1.461042, Average Loss  1.474810, Time  0.444966
2021-09-24 00:50:08.856618 : Epoch  1, Batch    482, Loss  1.472094, Average Loss  1.474760, Time  0.444673
2021-09-24 00:50:14.831057 : Epoch  1, Batch    483, Loss  1.459832, Average Loss  1.474604, Time  0.444910
2021-09-24 00:50:20.794362 : Epoch  1, Batch    484, Loss  1.466404, Average Loss  1.474467, Time  0.445015
2021-09-24 00:50:26.780168 : Epoch  1, Batch    485, Loss  1.467878, Average Loss  1.474383, Time  0.444849
2021-09-24 00:50:32.770919 : Epoch  1, Batch    486, Loss  1.469996, Average Loss  1.474298, Time  0.444840
2021-09-24 00:50:38.779752 : Epoch  1, Batch    487, Loss  1.471336, Average Loss  1.474256, Time  0.463580
2021-09-24 00:50:44.769461 : Epoch  1, Batch    488, Loss  1.474119, Average Loss  1.474234, Time  0.447325
2021-09-24 00:50:50.751860 : Epoch  1, Batch    489, Loss  1.463179, Average Loss  1.474103, Time  0.445703
2021-09-24 00:50:56.743653 : Epoch  1, Batch    490, Loss  1.471461, Average Loss  1.474030, Time  0.445481
2021-09-24 00:51:02.719064 : Epoch  1, Batch    491, Loss  1.462250, Average Loss  1.473867, Time  0.447712
2021-09-24 00:51:08.710698 : Epoch  1, Batch    492, Loss  1.471915, Average Loss  1.473800, Time  0.445410
2021-09-24 00:51:14.683806 : Epoch  1, Batch    493, Loss  1.471074, Average Loss  1.473724, Time  0.446194
2021-09-24 00:51:20.665256 : Epoch  1, Batch    494, Loss  1.461009, Average Loss  1.473598, Time  0.453992
2021-09-24 00:51:26.657060 : Epoch  1, Batch    495, Loss  1.470507, Average Loss  1.473501, Time  0.447582
2021-09-24 00:51:32.652908 : Epoch  1, Batch    496, Loss  1.461003, Average Loss  1.473376, Time  0.445624
2021-09-24 00:51:38.656785 : Epoch  1, Batch    497, Loss  1.466251, Average Loss  1.473278, Time  0.451570
2021-09-24 00:51:44.654999 : Epoch  1, Batch    498, Loss  1.478753, Average Loss  1.473261, Time  0.446219
2021-09-24 00:51:50.654744 : Epoch  1, Batch    499, Loss  1.467439, Average Loss  1.473134, Time  0.446888
2021-09-24 00:51:56.632466 : Epoch  1, Batch    500, Loss  1.460681, Average Loss  1.472997, Time  0.444243
2021-09-24 00:54:10.817405 : CheckPoint: Validation Loss  0.00025310, Best Loss  0.00025310
2021-09-24 00:54:10.864655 : Best Model Updated
2021-09-24 00:54:17.457427 : Epoch  1, Batch    501, Loss  1.478262, Average Loss  1.469787, Time  0.441443
2021-09-24 00:54:23.490646 : Epoch  1, Batch    502, Loss  1.467744, Average Loss  1.469703, Time  0.442539
2021-09-24 00:54:29.524815 : Epoch  1, Batch    503, Loss  1.453157, Average Loss  1.469559, Time  0.439601
2021-09-24 00:54:35.530431 : Epoch  1, Batch    504, Loss  1.458842, Average Loss  1.469422, Time  0.439619
2021-09-24 00:54:41.538631 : Epoch  1, Batch    505, Loss  1.459134, Average Loss  1.469327, Time  0.438332
2021-09-24 00:54:47.560425 : Epoch  1, Batch    506, Loss  1.459223, Average Loss  1.469171, Time  0.438731
2021-09-24 00:54:53.579468 : Epoch  1, Batch    507, Loss  1.458185, Average Loss  1.469099, Time  0.448555
2021-09-24 00:54:59.585903 : Epoch  1, Batch    508, Loss  1.459890, Average Loss  1.469024, Time  0.442465
2021-09-24 00:55:05.615772 : Epoch  1, Batch    509, Loss  1.462282, Average Loss  1.468915, Time  0.441663
2021-09-24 00:55:11.632211 : Epoch  1, Batch    510, Loss  1.471107, Average Loss  1.468860, Time  0.441151
2021-09-24 00:55:17.645289 : Epoch  1, Batch    511, Loss  1.463356, Average Loss  1.468834, Time  0.441307
2021-09-24 00:55:23.654478 : Epoch  1, Batch    512, Loss  1.475684, Average Loss  1.468830, Time  0.440398
2021-09-24 00:55:29.685339 : Epoch  1, Batch    513, Loss  1.461518, Average Loss  1.468703, Time  0.441744
2021-09-24 00:55:35.704768 : Epoch  1, Batch    514, Loss  1.452636, Average Loss  1.468536, Time  0.438878
2021-09-24 00:55:41.745483 : Epoch  1, Batch    515, Loss  1.454346, Average Loss  1.468404, Time  0.453457
2021-09-24 00:55:47.758751 : Epoch  1, Batch    516, Loss  1.453691, Average Loss  1.468242, Time  0.439173
2021-09-24 00:55:53.771028 : Epoch  1, Batch    517, Loss  1.466834, Average Loss  1.468198, Time  0.438583
2021-09-24 00:55:59.790186 : Epoch  1, Batch    518, Loss  1.467256, Average Loss  1.468109, Time  0.438558
2021-09-24 00:56:05.822282 : Epoch  1, Batch    519, Loss  1.455940, Average Loss  1.467972, Time  0.440830
2021-09-24 00:56:11.847361 : Epoch  1, Batch    520, Loss  1.451099, Average Loss  1.467833, Time  0.439330
2021-09-24 00:56:17.864960 : Epoch  1, Batch    521, Loss  1.458348, Average Loss  1.467658, Time  0.439525
2021-09-24 00:56:23.883832 : Epoch  1, Batch    522, Loss  1.448473, Average Loss  1.467430, Time  0.452294
2021-09-24 00:56:29.910514 : Epoch  1, Batch    523, Loss  1.455020, Average Loss  1.467289, Time  0.439333
2021-09-24 00:56:35.924357 : Epoch  1, Batch    524, Loss  1.460996, Average Loss  1.467198, Time  0.438260
2021-09-24 00:56:41.201184 : CheckPoint: Validation Loss  0.00025647, Best Loss  0.00025640
2021-09-24 00:56:41.931104 : Epoch  1, Batch    525, Loss  1.468538, Average Loss  1.467092, Time  0.439320
2021-09-24 00:56:47.228877 : Epoch  1, Batch    501, Loss  1.461268, Average Loss  1.472887, Time  0.450300
2021-09-24 00:56:47.938493 : Epoch  1, Batch    526, Loss  1.465227, Average Loss  1.466967, Time  0.440252
2021-09-24 00:56:53.259464 : Epoch  1, Batch    502, Loss  1.441217, Average Loss  1.472683, Time  0.447654
2021-09-24 00:56:53.953834 : Epoch  1, Batch    527, Loss  1.439225, Average Loss  1.466745, Time  0.440073
2021-09-24 00:56:59.296872 : Epoch  1, Batch    503, Loss  1.477684, Average Loss  1.472646, Time  0.444840
2021-09-24 00:56:59.966452 : Epoch  1, Batch    528, Loss  1.457954, Average Loss  1.466607, Time  0.438402
2021-09-24 00:57:05.333628 : Epoch  1, Batch    504, Loss  1.470570, Average Loss  1.472558, Time  0.446501
2021-09-24 00:57:06.006549 : Epoch  1, Batch    529, Loss  1.470368, Average Loss  1.466567, Time  0.440708
2021-09-24 00:57:11.354485 : Epoch  1, Batch    505, Loss  1.462800, Average Loss  1.472481, Time  0.444975
2021-09-24 00:57:12.043284 : Epoch  1, Batch    530, Loss  1.458418, Average Loss  1.466452, Time  0.454722
2021-09-24 00:57:17.375752 : Epoch  1, Batch    506, Loss  1.473005, Average Loss  1.472486, Time  0.450701
2021-09-24 00:57:18.054093 : Epoch  1, Batch    531, Loss  1.462802, Average Loss  1.466367, Time  0.438594
2021-09-24 00:57:23.399838 : Epoch  1, Batch    507, Loss  1.463376, Average Loss  1.472386, Time  0.446881
2021-09-24 00:57:24.110632 : Epoch  1, Batch    532, Loss  1.461965, Average Loss  1.466266, Time  0.441356
2021-09-24 00:57:29.441990 : Epoch  1, Batch    508, Loss  1.458366, Average Loss  1.472266, Time  0.457677
2021-09-24 00:57:30.128812 : Epoch  1, Batch    533, Loss  1.443595, Average Loss  1.466031, Time  0.439473
2021-09-24 00:57:35.484020 : Epoch  1, Batch    509, Loss  1.462509, Average Loss  1.472214, Time  0.446784
2021-09-24 00:57:36.190149 : Epoch  1, Batch    534, Loss  1.464654, Average Loss  1.465969, Time  0.441711
2021-09-24 00:57:41.519372 : Epoch  1, Batch    510, Loss  1.462175, Average Loss  1.472111, Time  0.445256
2021-09-24 00:57:42.224190 : Epoch  1, Batch    535, Loss  1.464300, Average Loss  1.465914, Time  0.439715
2021-09-24 00:57:47.537910 : Epoch  1, Batch    511, Loss  1.468985, Average Loss  1.472066, Time  0.444730
2021-09-24 00:57:48.243744 : Epoch  1, Batch    536, Loss  1.468646, Average Loss  1.465826, Time  0.443054
2021-09-24 00:57:53.559820 : Epoch  1, Batch    512, Loss  1.464943, Average Loss  1.471917, Time  0.445586
2021-09-24 00:57:54.286906 : Epoch  1, Batch    537, Loss  1.450158, Average Loss  1.465649, Time  0.456775
2021-09-24 00:57:59.586798 : Epoch  1, Batch    513, Loss  1.465053, Average Loss  1.471781, Time  0.445044
2021-09-24 00:58:00.329527 : Epoch  1, Batch    538, Loss  1.450913, Average Loss  1.465537, Time  0.446443
2021-09-24 00:58:05.611554 : Epoch  1, Batch    514, Loss  1.470752, Average Loss  1.471739, Time  0.444556
2021-09-24 00:58:06.356350 : Epoch  1, Batch    539, Loss  1.458423, Average Loss  1.465445, Time  0.444127
2021-09-24 00:58:11.651498 : Epoch  1, Batch    515, Loss  1.471968, Average Loss  1.471669, Time  0.461050
2021-09-24 00:58:12.384393 : Epoch  1, Batch    540, Loss  1.463600, Average Loss  1.465324, Time  0.440685
2021-09-24 00:58:17.683422 : Epoch  1, Batch    516, Loss  1.463081, Average Loss  1.471637, Time  0.447299
2021-09-24 00:58:18.407509 : Epoch  1, Batch    541, Loss  1.459119, Average Loss  1.465264, Time  0.439388
2021-09-24 00:58:23.721862 : Epoch  1, Batch    517, Loss  1.458627, Average Loss  1.471547, Time  0.445642
2021-09-24 00:58:24.427348 : Epoch  1, Batch    542, Loss  1.465004, Average Loss  1.465208, Time  0.439541
2021-09-24 00:58:29.745407 : Epoch  1, Batch    518, Loss  1.469887, Average Loss  1.471492, Time  0.449532
2021-09-24 00:58:30.457259 : Epoch  1, Batch    543, Loss  1.479210, Average Loss  1.465201, Time  0.447368
2021-09-24 00:58:35.796041 : Epoch  1, Batch    519, Loss  1.457141, Average Loss  1.471352, Time  0.445243
2021-09-24 00:58:36.485738 : Epoch  1, Batch    544, Loss  1.471106, Average Loss  1.465182, Time  0.442244
2021-09-24 00:58:41.844696 : Epoch  1, Batch    520, Loss  1.462167, Average Loss  1.471235, Time  0.445661
2021-09-24 00:58:42.515147 : Epoch  1, Batch    545, Loss  1.452851, Average Loss  1.465102, Time  0.448208
2021-09-24 00:58:47.891820 : Epoch  1, Batch    521, Loss  1.458561, Average Loss  1.471160, Time  0.444572
2021-09-24 00:58:48.538751 : Epoch  1, Batch    546, Loss  1.463671, Average Loss  1.464982, Time  0.439265
2021-09-24 00:58:53.919477 : Epoch  1, Batch    522, Loss  1.470172, Average Loss  1.471174, Time  0.444008
2021-09-24 00:58:54.564033 : Epoch  1, Batch    547, Loss  1.466995, Average Loss  1.464981, Time  0.438989
2021-09-24 00:58:59.977297 : Epoch  1, Batch    523, Loss  1.474803, Average Loss  1.471147, Time  0.468762
2021-09-24 00:59:00.569591 : Epoch  1, Batch    548, Loss  1.453072, Average Loss  1.464889, Time  0.441522
2021-09-24 00:59:06.006220 : Epoch  1, Batch    524, Loss  1.456003, Average Loss  1.471044, Time  0.448480
2021-09-24 00:59:06.586188 : Epoch  1, Batch    549, Loss  1.450852, Average Loss  1.464771, Time  0.439815
2021-09-24 00:59:12.029596 : Epoch  1, Batch    525, Loss  1.459436, Average Loss  1.471001, Time  0.445553
2021-09-24 00:59:12.599688 : Epoch  1, Batch    550, Loss  1.457186, Average Loss  1.464678, Time  0.438686
2021-09-24 00:59:18.055928 : Epoch  1, Batch    526, Loss  1.458384, Average Loss  1.470876, Time  0.447720
2021-09-24 00:59:18.626776 : Epoch  1, Batch    551, Loss  1.448484, Average Loss  1.464502, Time  0.441162
2021-09-24 00:59:24.097686 : Epoch  1, Batch    527, Loss  1.484478, Average Loss  1.470836, Time  0.446403
2021-09-24 00:59:24.674889 : Epoch  1, Batch    552, Loss  1.453094, Average Loss  1.464388, Time  0.454811
2021-09-24 00:59:30.127729 : Epoch  1, Batch    528, Loss  1.464309, Average Loss  1.470744, Time  0.445519
2021-09-24 00:59:30.693801 : Epoch  1, Batch    553, Loss  1.473391, Average Loss  1.464386, Time  0.443213
2021-09-24 00:59:36.171213 : Epoch  1, Batch    529, Loss  1.463589, Average Loss  1.470657, Time  0.448563
2021-09-24 00:59:36.722835 : Epoch  1, Batch    554, Loss  1.459219, Average Loss  1.464280, Time  0.439363
2021-09-24 00:59:42.210239 : Epoch  1, Batch    530, Loss  1.459734, Average Loss  1.470562, Time  0.453134
2021-09-24 00:59:42.751924 : Epoch  1, Batch    555, Loss  1.468654, Average Loss  1.464190, Time  0.447842
2021-09-24 00:59:48.264368 : Epoch  1, Batch    531, Loss  1.456327, Average Loss  1.470484, Time  0.444591
2021-09-24 00:59:48.773463 : Epoch  1, Batch    556, Loss  1.462671, Average Loss  1.464105, Time  0.440358
2021-09-24 00:59:54.303945 : Epoch  1, Batch    532, Loss  1.480066, Average Loss  1.470486, Time  0.446583
2021-09-24 00:59:54.792883 : Epoch  1, Batch    557, Loss  1.459588, Average Loss  1.464047, Time  0.439126
2021-09-24 01:00:00.336849 : Epoch  1, Batch    533, Loss  1.454287, Average Loss  1.470364, Time  0.449520
2021-09-24 01:00:00.810636 : Epoch  1, Batch    558, Loss  1.452973, Average Loss  1.463898, Time  0.440759
2021-09-24 01:00:06.378441 : Epoch  1, Batch    534, Loss  1.453022, Average Loss  1.470262, Time  0.448763
2021-09-24 01:00:06.830862 : Epoch  1, Batch    559, Loss  1.461499, Average Loss  1.463805, Time  0.440704
2021-09-24 01:00:12.420863 : Epoch  1, Batch    535, Loss  1.467900, Average Loss  1.470172, Time  0.444726
2021-09-24 01:00:12.853468 : Epoch  1, Batch    560, Loss  1.455073, Average Loss  1.463692, Time  0.453413
2021-09-24 01:00:18.463816 : Epoch  1, Batch    536, Loss  1.470798, Average Loss  1.470152, Time  0.447004
2021-09-24 01:00:18.876692 : Epoch  1, Batch    561, Loss  1.454943, Average Loss  1.463634, Time  0.438745
2021-09-24 01:00:24.479951 : Epoch  1, Batch    537, Loss  1.468465, Average Loss  1.470102, Time  0.446597
2021-09-24 01:00:24.910486 : Epoch  1, Batch    562, Loss  1.465778, Average Loss  1.463666, Time  0.440765
2021-09-24 01:00:30.509454 : Epoch  1, Batch    538, Loss  1.464454, Average Loss  1.470032, Time  0.452446
2021-09-24 01:00:30.933924 : Epoch  1, Batch    563, Loss  1.452544, Average Loss  1.463539, Time  0.440903
2021-09-24 01:00:36.573127 : Epoch  1, Batch    539, Loss  1.470255, Average Loss  1.470075, Time  0.447882
2021-09-24 01:00:36.960652 : Epoch  1, Batch    564, Loss  1.452678, Average Loss  1.463427, Time  0.441724
2021-09-24 01:00:42.621907 : Epoch  1, Batch    540, Loss  1.449997, Average Loss  1.469944, Time  0.448813
2021-09-24 01:00:42.996563 : Epoch  1, Batch    565, Loss  1.455489, Average Loss  1.463327, Time  0.442064
2021-09-24 01:00:48.708459 : Epoch  1, Batch    541, Loss  1.461914, Average Loss  1.469805, Time  0.451639
2021-09-24 01:00:49.005121 : Epoch  1, Batch    566, Loss  1.467179, Average Loss  1.463332, Time  0.441544
2021-09-24 01:00:54.768619 : Epoch  1, Batch    542, Loss  1.461024, Average Loss  1.469720, Time  0.452256
2021-09-24 01:00:55.025433 : Epoch  1, Batch    567, Loss  1.454258, Average Loss  1.463221, Time  0.438777
2021-09-24 01:01:00.833611 : Epoch  1, Batch    543, Loss  1.460513, Average Loss  1.469661, Time  0.449083
2021-09-24 01:01:01.054211 : Epoch  1, Batch    568, Loss  1.459488, Average Loss  1.463110, Time  0.448564
2021-09-24 01:01:06.888932 : Epoch  1, Batch    544, Loss  1.458791, Average Loss  1.469617, Time  0.450001
2021-09-24 01:01:07.074278 : Epoch  1, Batch    569, Loss  1.466742, Average Loss  1.463050, Time  0.444092
2021-09-24 01:01:12.933847 : Epoch  1, Batch    545, Loss  1.463804, Average Loss  1.469543, Time  0.457395
2021-09-24 01:01:13.083408 : Epoch  1, Batch    570, Loss  1.460231, Average Loss  1.463034, Time  0.438498
2021-09-24 01:01:18.994666 : Epoch  1, Batch    546, Loss  1.459005, Average Loss  1.469457, Time  0.448742
2021-09-24 01:01:19.098819 : Epoch  1, Batch    571, Loss  1.465354, Average Loss  1.462976, Time  0.442210
2021-09-24 01:01:25.031204 : Epoch  1, Batch    547, Loss  1.455638, Average Loss  1.469280, Time  0.451425
2021-09-24 01:01:25.112902 : Epoch  1, Batch    572, Loss  1.462173, Average Loss  1.462964, Time  0.439059
2021-09-24 01:01:31.081552 : Epoch  1, Batch    548, Loss  1.459849, Average Loss  1.469134, Time  0.447550
2021-09-24 01:01:31.137057 : Epoch  1, Batch    573, Loss  1.457345, Average Loss  1.462876, Time  0.438471
2021-09-24 01:01:37.118280 : Epoch  1, Batch    549, Loss  1.460929, Average Loss  1.468989, Time  0.449831
2021-09-24 01:01:37.159183 : Epoch  1, Batch    574, Loss  1.452247, Average Loss  1.462777, Time  0.439350
2021-09-24 01:01:43.166246 : Epoch  1, Batch    550, Loss  1.468577, Average Loss  1.468929, Time  0.445119
2021-09-24 01:01:43.204597 : Epoch  1, Batch    575, Loss  1.455767, Average Loss  1.462680, Time  0.456568
2021-09-24 01:01:49.186941 : Epoch  1, Batch    551, Loss  1.449451, Average Loss  1.468867, Time  0.447603
2021-09-24 01:01:49.226996 : Epoch  1, Batch    576, Loss  1.451760, Average Loss  1.462601, Time  0.440458
2021-09-24 01:01:55.232122 : Epoch  1, Batch    552, Loss  1.460799, Average Loss  1.468818, Time  0.450936
2021-09-24 01:01:55.269309 : Epoch  1, Batch    577, Loss  1.456655, Average Loss  1.462494, Time  0.449664
2021-09-24 01:02:01.282349 : Epoch  1, Batch    553, Loss  1.458475, Average Loss  1.468753, Time  0.462216
2021-09-24 01:02:01.315803 : Epoch  1, Batch    578, Loss  1.455166, Average Loss  1.462406, Time  0.443466
2021-09-24 01:02:07.320964 : Epoch  1, Batch    554, Loss  1.467217, Average Loss  1.468693, Time  0.449558
2021-09-24 01:02:07.360145 : Epoch  1, Batch    579, Loss  1.473331, Average Loss  1.462440, Time  0.439080
2021-09-24 01:02:13.402799 : Epoch  1, Batch    580, Loss  1.464032, Average Loss  1.462419, Time  0.439321
2021-09-24 01:02:13.452956 : Epoch  1, Batch    555, Loss  1.464666, Average Loss  1.468575, Time  0.446241
2021-09-24 01:02:19.424055 : Epoch  1, Batch    581, Loss  1.472283, Average Loss  1.462403, Time  0.441436
2021-09-24 01:02:19.492900 : Epoch  1, Batch    556, Loss  1.466486, Average Loss  1.468506, Time  0.444717
2021-09-24 01:02:25.447892 : Epoch  1, Batch    582, Loss  1.457536, Average Loss  1.462379, Time  0.439356
2021-09-24 01:02:25.536068 : Epoch  1, Batch    557, Loss  1.453756, Average Loss  1.468350, Time  0.447985
2021-09-24 01:02:31.473479 : Epoch  1, Batch    583, Loss  1.457870, Average Loss  1.462306, Time  0.447036
2021-09-24 01:02:31.562062 : Epoch  1, Batch    558, Loss  1.460285, Average Loss  1.468316, Time  0.448769
2021-09-24 01:02:37.503020 : Epoch  1, Batch    584, Loss  1.452225, Average Loss  1.462248, Time  0.444829
2021-09-24 01:02:37.605773 : Epoch  1, Batch    559, Loss  1.457982, Average Loss  1.468264, Time  0.448134
2021-09-24 01:02:43.528375 : Epoch  1, Batch    585, Loss  1.456585, Average Loss  1.462191, Time  0.440169
2021-09-24 01:02:43.644192 : Epoch  1, Batch    560, Loss  1.453394, Average Loss  1.468154, Time  0.457229
2021-09-24 01:02:49.564301 : Epoch  1, Batch    586, Loss  1.455282, Average Loss  1.462172, Time  0.440127
2021-09-24 01:02:49.672315 : Epoch  1, Batch    561, Loss  1.469774, Average Loss  1.468028, Time  0.444415
2021-09-24 01:02:55.578588 : Epoch  1, Batch    587, Loss  1.464869, Average Loss  1.462207, Time  0.439616
2021-09-24 01:02:55.710261 : Epoch  1, Batch    562, Loss  1.451200, Average Loss  1.467901, Time  0.447383
2021-09-24 01:03:01.616903 : Epoch  1, Batch    588, Loss  1.449775, Average Loss  1.462074, Time  0.447008
2021-09-24 01:03:01.756546 : Epoch  1, Batch    563, Loss  1.457386, Average Loss  1.467818, Time  0.449783
2021-09-24 01:03:07.648894 : Epoch  1, Batch    589, Loss  1.454387, Average Loss  1.461990, Time  0.440939
2021-09-24 01:03:07.769460 : Epoch  1, Batch    564, Loss  1.460862, Average Loss  1.467768, Time  0.444564
2021-09-24 01:03:13.689503 : Epoch  1, Batch    590, Loss  1.445788, Average Loss  1.461905, Time  0.451305
2021-09-24 01:03:13.803792 : Epoch  1, Batch    565, Loss  1.460126, Average Loss  1.467662, Time  0.447659
2021-09-24 01:03:19.712804 : Epoch  1, Batch    591, Loss  1.450873, Average Loss  1.461808, Time  0.440680
2021-09-24 01:03:19.839911 : Epoch  1, Batch    566, Loss  1.466298, Average Loss  1.467665, Time  0.446686
2021-09-24 01:03:25.732877 : Epoch  1, Batch    592, Loss  1.449680, Average Loss  1.461678, Time  0.440244
2021-09-24 01:03:25.869137 : Epoch  1, Batch    567, Loss  1.475339, Average Loss  1.467767, Time  0.447643
2021-09-24 01:03:31.751851 : Epoch  1, Batch    593, Loss  1.462965, Average Loss  1.461678, Time  0.438874
2021-09-24 01:03:31.913468 : Epoch  1, Batch    568, Loss  1.455397, Average Loss  1.467684, Time  0.459467
2021-09-24 01:03:37.772165 : Epoch  1, Batch    594, Loss  1.457796, Average Loss  1.461652, Time  0.440985
2021-09-24 01:03:37.937735 : Epoch  1, Batch    569, Loss  1.468594, Average Loss  1.467654, Time  0.444802
2021-09-24 01:03:43.800806 : Epoch  1, Batch    595, Loss  1.460934, Average Loss  1.461608, Time  0.442656
2021-09-24 01:03:43.964623 : Epoch  1, Batch    570, Loss  1.451053, Average Loss  1.467523, Time  0.448725
2021-09-24 01:03:49.823648 : Epoch  1, Batch    596, Loss  1.458992, Average Loss  1.461559, Time  0.443130
2021-09-24 01:03:49.989891 : Epoch  1, Batch    571, Loss  1.468670, Average Loss  1.467474, Time  0.446956
2021-09-24 01:03:55.836424 : Epoch  1, Batch    597, Loss  1.474352, Average Loss  1.461648, Time  0.440690
2021-09-24 01:03:56.021816 : Epoch  1, Batch    572, Loss  1.469509, Average Loss  1.467412, Time  0.446520
2021-09-24 01:04:01.845424 : Epoch  1, Batch    598, Loss  1.458756, Average Loss  1.461586, Time  0.449074
2021-09-24 01:04:02.041068 : Epoch  1, Batch    573, Loss  1.460362, Average Loss  1.467296, Time  0.449459
2021-09-24 01:04:07.854487 : Epoch  1, Batch    599, Loss  1.462777, Average Loss  1.461604, Time  0.440548
2021-09-24 01:04:08.054016 : Epoch  1, Batch    574, Loss  1.458134, Average Loss  1.467196, Time  0.446310
2021-09-24 01:04:13.879233 : Epoch  1, Batch    600, Loss  1.453481, Average Loss  1.461520, Time  0.442433
2021-09-24 01:04:14.094778 : Epoch  1, Batch    575, Loss  1.462973, Average Loss  1.467111, Time  0.455114
2021-09-24 01:04:20.118615 : Epoch  1, Batch    576, Loss  1.471549, Average Loss  1.467132, Time  0.447014
2021-09-24 01:04:26.157469 : Epoch  1, Batch    577, Loss  1.469023, Average Loss  1.467152, Time  0.452785
2021-09-24 01:04:32.199808 : Epoch  1, Batch    578, Loss  1.460909, Average Loss  1.467084, Time  0.444360
2021-09-24 01:04:38.222319 : Epoch  1, Batch    579, Loss  1.457161, Average Loss  1.467027, Time  0.446081
2021-09-24 01:04:44.259286 : Epoch  1, Batch    580, Loss  1.458967, Average Loss  1.466988, Time  0.452749
2021-09-24 01:04:50.292850 : Epoch  1, Batch    581, Loss  1.454600, Average Loss  1.466892, Time  0.450149
2021-09-24 01:04:56.305075 : Epoch  1, Batch    582, Loss  1.455386, Average Loss  1.466756, Time  0.447279
2021-09-24 01:05:02.366778 : Epoch  1, Batch    583, Loss  1.453361, Average Loss  1.466629, Time  0.460376
2021-09-24 01:05:08.396648 : Epoch  1, Batch    584, Loss  1.470520, Average Loss  1.466599, Time  0.448955
2021-09-24 01:05:14.441165 : Epoch  1, Batch    585, Loss  1.459993, Average Loss  1.466540, Time  0.445062
2021-09-24 01:05:20.498055 : Epoch  1, Batch    586, Loss  1.455439, Average Loss  1.466503, Time  0.445167
2021-09-24 01:05:26.512390 : Epoch  1, Batch    587, Loss  1.467786, Average Loss  1.466408, Time  0.444797
2021-09-24 01:05:32.543924 : Epoch  1, Batch    588, Loss  1.461664, Average Loss  1.466335, Time  0.445414
2021-09-24 01:05:38.560581 : Epoch  1, Batch    589, Loss  1.463610, Average Loss  1.466315, Time  0.446951
2021-09-24 01:05:44.589048 : Epoch  1, Batch    590, Loss  1.471403, Average Loss  1.466357, Time  0.459541
2021-09-24 01:05:50.620507 : Epoch  1, Batch    591, Loss  1.464413, Average Loss  1.466272, Time  0.447507
2021-09-24 01:05:56.655510 : Epoch  1, Batch    592, Loss  1.460465, Average Loss  1.466206, Time  0.445622
2021-09-24 01:06:02.691271 : Epoch  1, Batch    593, Loss  1.472889, Average Loss  1.466291, Time  0.447304
2021-09-24 01:06:08.716382 : Epoch  1, Batch    594, Loss  1.463420, Average Loss  1.466202, Time  0.446671
2021-09-24 01:06:14.742926 : Epoch  1, Batch    595, Loss  1.454613, Average Loss  1.466098, Time  0.445553
2021-09-24 01:06:20.766036 : Epoch  1, Batch    596, Loss  1.453584, Average Loss  1.466077, Time  0.444880
2021-09-24 01:06:26.804133 : Epoch  1, Batch    597, Loss  1.460179, Average Loss  1.465978, Time  0.454654
2021-09-24 01:06:32.852925 : Epoch  1, Batch    598, Loss  1.445289, Average Loss  1.465823, Time  0.464661
2021-09-24 01:06:38.880537 : Epoch  1, Batch    599, Loss  1.459183, Average Loss  1.465764, Time  0.447393
2021-09-24 01:06:44.920540 : Epoch  1, Batch    600, Loss  1.451661, Average Loss  1.465676, Time  0.447308
2021-09-24 01:08:55.006404 : CheckPoint: Validation Loss  0.00025101, Best Loss  0.00025101
2021-09-24 01:08:55.053537 : Best Model Updated
2021-09-24 01:09:01.725288 : Epoch  1, Batch    601, Loss  1.457197, Average Loss  1.461526, Time  0.439831
2021-09-24 01:09:07.744816 : Epoch  1, Batch    602, Loss  1.462228, Average Loss  1.461424, Time  0.439476
2021-09-24 01:09:13.747641 : Epoch  1, Batch    603, Loss  1.460955, Average Loss  1.461341, Time  0.438554
2021-09-24 01:09:19.780769 : Epoch  1, Batch    604, Loss  1.451323, Average Loss  1.461278, Time  0.449956
2021-09-24 01:09:25.783877 : Epoch  1, Batch    605, Loss  1.468124, Average Loss  1.461160, Time  0.445259
2021-09-24 01:09:31.798048 : Epoch  1, Batch    606, Loss  1.452543, Average Loss  1.461141, Time  0.438857
2021-09-24 01:09:37.810395 : Epoch  1, Batch    607, Loss  1.456038, Average Loss  1.461083, Time  0.439091
2021-09-24 01:09:43.815386 : Epoch  1, Batch    608, Loss  1.454754, Average Loss  1.461048, Time  0.440434
2021-09-24 01:09:49.819187 : Epoch  1, Batch    609, Loss  1.468890, Average Loss  1.461082, Time  0.438004
2021-09-24 01:09:55.842918 : Epoch  1, Batch    610, Loss  1.462420, Average Loss  1.461059, Time  0.438699
2021-09-24 01:10:01.852785 : Epoch  1, Batch    611, Loss  1.453616, Average Loss  1.461025, Time  0.440330
2021-09-24 01:10:07.886690 : Epoch  1, Batch    612, Loss  1.456547, Average Loss  1.461005, Time  0.452260
2021-09-24 01:10:13.909675 : Epoch  1, Batch    613, Loss  1.461883, Average Loss  1.460973, Time  0.439924
2021-09-24 01:10:19.940124 : Epoch  1, Batch    614, Loss  1.456922, Average Loss  1.460945, Time  0.440399
2021-09-24 01:10:25.964066 : Epoch  1, Batch    615, Loss  1.461188, Average Loss  1.461009, Time  0.438530
2021-09-24 01:10:31.979672 : Epoch  1, Batch    616, Loss  1.455542, Average Loss  1.460964, Time  0.441626
2021-09-24 01:10:38.004704 : Epoch  1, Batch    617, Loss  1.463169, Average Loss  1.460950, Time  0.438689
2021-09-24 01:10:44.008158 : Epoch  1, Batch    618, Loss  1.466948, Average Loss  1.460928, Time  0.438455
2021-09-24 01:10:50.017184 : Epoch  1, Batch    619, Loss  1.445206, Average Loss  1.460866, Time  0.440834
2021-09-24 01:10:56.026800 : Epoch  1, Batch    620, Loss  1.457222, Average Loss  1.460902, Time  0.448803
2021-09-24 01:11:02.023542 : Epoch  1, Batch    621, Loss  1.448170, Average Loss  1.460792, Time  0.438580
2021-09-24 01:11:08.038157 : Epoch  1, Batch    622, Loss  1.460473, Average Loss  1.460774, Time  0.439504
2021-09-24 01:11:14.063881 : Epoch  1, Batch    623, Loss  1.455142, Average Loss  1.460745, Time  0.440325
2021-09-24 01:11:20.095121 : Epoch  1, Batch    624, Loss  1.464900, Average Loss  1.460721, Time  0.439114
2021-09-24 01:11:26.122232 : Epoch  1, Batch    625, Loss  1.467703, Average Loss  1.460715, Time  0.440880
2021-09-24 01:11:28.861195 : CheckPoint: Validation Loss  0.00025531, Best Loss  0.00025531
2021-09-24 01:11:28.895418 : Best Model Updated
2021-09-24 01:11:32.143009 : Epoch  1, Batch    626, Loss  1.444617, Average Loss  1.460609, Time  0.438489
2021-09-24 01:11:35.526188 : Epoch  1, Batch    601, Loss  1.470887, Average Loss  1.465631, Time  0.449353
2021-09-24 01:11:38.157571 : Epoch  1, Batch    627, Loss  1.470914, Average Loss  1.460621, Time  0.445455
2021-09-24 01:11:41.512843 : Epoch  1, Batch    602, Loss  1.457177, Average Loss  1.465551, Time  0.444456
2021-09-24 01:11:44.173567 : Epoch  1, Batch    628, Loss  1.461572, Average Loss  1.460587, Time  0.441315
2021-09-24 01:11:47.532823 : Epoch  1, Batch    603, Loss  1.468198, Average Loss  1.465577, Time  0.461173
2021-09-24 01:11:50.196333 : Epoch  1, Batch    629, Loss  1.455606, Average Loss  1.460582, Time  0.440133
2021-09-24 01:11:53.539472 : Epoch  1, Batch    604, Loss  1.459809, Average Loss  1.465544, Time  0.445445
2021-09-24 01:11:56.215698 : Epoch  1, Batch    630, Loss  1.460087, Average Loss  1.460538, Time  0.440640
2021-09-24 01:11:59.546839 : Epoch  1, Batch    605, Loss  1.446070, Average Loss  1.465418, Time  0.445430
2021-09-24 01:12:02.236412 : Epoch  1, Batch    631, Loss  1.464831, Average Loss  1.460515, Time  0.440455
2021-09-24 01:12:05.558388 : Epoch  1, Batch    606, Loss  1.451861, Average Loss  1.465350, Time  0.449916
2021-09-24 01:12:08.256781 : Epoch  1, Batch    632, Loss  1.453129, Average Loss  1.460475, Time  0.440526
2021-09-24 01:12:11.556278 : Epoch  1, Batch    607, Loss  1.460279, Average Loss  1.465277, Time  0.449954
2021-09-24 01:12:14.266843 : Epoch  1, Batch    633, Loss  1.448386, Average Loss  1.460355, Time  0.441690
2021-09-24 01:12:17.597467 : Epoch  1, Batch    608, Loss  1.450138, Average Loss  1.465177, Time  0.446716
2021-09-24 01:12:20.289071 : Epoch  1, Batch    634, Loss  1.452092, Average Loss  1.460307, Time  0.439983
2021-09-24 01:12:23.591918 : Epoch  1, Batch    609, Loss  1.451460, Average Loss  1.465070, Time  0.446750
2021-09-24 01:12:26.326307 : Epoch  1, Batch    635, Loss  1.447890, Average Loss  1.460299, Time  0.454155
2021-09-24 01:12:29.596877 : Epoch  1, Batch    610, Loss  1.462405, Average Loss  1.465030, Time  0.448618
2021-09-24 01:12:32.341398 : Epoch  1, Batch    636, Loss  1.458038, Average Loss  1.460270, Time  0.438824
2021-09-24 01:12:35.601312 : Epoch  1, Batch    611, Loss  1.459313, Average Loss  1.464988, Time  0.454849
2021-09-24 01:12:38.355806 : Epoch  1, Batch    637, Loss  1.461692, Average Loss  1.460244, Time  0.438628
2021-09-24 01:12:41.632690 : Epoch  1, Batch    612, Loss  1.446288, Average Loss  1.464874, Time  0.445109
2021-09-24 01:12:44.364649 : Epoch  1, Batch    638, Loss  1.449614, Average Loss  1.460176, Time  0.438734
2021-09-24 01:12:47.635220 : Epoch  1, Batch    613, Loss  1.455612, Average Loss  1.464808, Time  0.445938
2021-09-24 01:12:50.386021 : Epoch  1, Batch    639, Loss  1.471181, Average Loss  1.460280, Time  0.440173
2021-09-24 01:12:53.654417 : Epoch  1, Batch    614, Loss  1.469376, Average Loss  1.464801, Time  0.444985
2021-09-24 01:12:56.400955 : Epoch  1, Batch    640, Loss  1.453835, Average Loss  1.460241, Time  0.438878
2021-09-24 01:12:59.663037 : Epoch  1, Batch    615, Loss  1.456141, Average Loss  1.464727, Time  0.446990
2021-09-24 01:13:02.414645 : Epoch  1, Batch    641, Loss  1.456696, Average Loss  1.460191, Time  0.438626
2021-09-24 01:13:05.665331 : Epoch  1, Batch    616, Loss  1.454008, Average Loss  1.464635, Time  0.444335
2021-09-24 01:13:08.446283 : Epoch  1, Batch    642, Loss  1.443801, Average Loss  1.460047, Time  0.455436
2021-09-24 01:13:11.671758 : Epoch  1, Batch    617, Loss  1.465823, Average Loss  1.464646, Time  0.449988
2021-09-24 01:13:14.452542 : Epoch  1, Batch    643, Loss  1.452785, Average Loss  1.460009, Time  0.441087
2021-09-24 01:13:17.694959 : Epoch  1, Batch    618, Loss  1.458908, Average Loss  1.464587, Time  0.458464
2021-09-24 01:13:20.487522 : Epoch  1, Batch    644, Loss  1.443041, Average Loss  1.459914, Time  0.443420
2021-09-24 01:13:23.703419 : Epoch  1, Batch    619, Loss  1.465406, Average Loss  1.464592, Time  0.445692
2021-09-24 01:13:26.502697 : Epoch  1, Batch    645, Loss  1.460048, Average Loss  1.459862, Time  0.442139
2021-09-24 01:13:29.696850 : Epoch  1, Batch    620, Loss  1.446914, Average Loss  1.464500, Time  0.446206
2021-09-24 01:13:32.510857 : Epoch  1, Batch    646, Loss  1.449872, Average Loss  1.459790, Time  0.441076
2021-09-24 01:13:35.707885 : Epoch  1, Batch    621, Loss  1.456488, Average Loss  1.464383, Time  0.449316
2021-09-24 01:13:38.521719 : Epoch  1, Batch    647, Loss  1.458182, Average Loss  1.459785, Time  0.441790
2021-09-24 01:13:41.699829 : Epoch  1, Batch    622, Loss  1.452344, Average Loss  1.464253, Time  0.445764
2021-09-24 01:13:44.539608 : Epoch  1, Batch    648, Loss  1.453837, Average Loss  1.459772, Time  0.441758
2021-09-24 01:13:47.743633 : Epoch  1, Batch    623, Loss  1.452120, Average Loss  1.464137, Time  0.449739
2021-09-24 01:13:50.553850 : Epoch  1, Batch    649, Loss  1.456693, Average Loss  1.459751, Time  0.439379
2021-09-24 01:13:53.744655 : Epoch  1, Batch    624, Loss  1.457460, Average Loss  1.464087, Time  0.444794
2021-09-24 01:13:56.583323 : Epoch  1, Batch    650, Loss  1.455381, Average Loss  1.459752, Time  0.453324
2021-09-24 01:13:59.741756 : Epoch  1, Batch    625, Loss  1.457065, Average Loss  1.464057, Time  0.448905
2021-09-24 01:14:02.598404 : Epoch  1, Batch    651, Loss  1.437404, Average Loss  1.459548, Time  0.440784
2021-09-24 01:14:05.762803 : Epoch  1, Batch    626, Loss  1.462985, Average Loss  1.464018, Time  0.461371
2021-09-24 01:14:08.618902 : Epoch  1, Batch    652, Loss  1.461144, Average Loss  1.459509, Time  0.438914
2021-09-24 01:14:11.770760 : Epoch  1, Batch    627, Loss  1.456014, Average Loss  1.463927, Time  0.448007
2021-09-24 01:14:14.639331 : Epoch  1, Batch    653, Loss  1.461115, Average Loss  1.459440, Time  0.439862
2021-09-24 01:14:17.784771 : Epoch  1, Batch    628, Loss  1.454707, Average Loss  1.463807, Time  0.451056
2021-09-24 01:14:20.660897 : Epoch  1, Batch    654, Loss  1.456586, Average Loss  1.459367, Time  0.441196
2021-09-24 01:14:23.837066 : Epoch  1, Batch    629, Loss  1.459526, Average Loss  1.463781, Time  0.454168
2021-09-24 01:14:26.686778 : Epoch  1, Batch    655, Loss  1.463179, Average Loss  1.459294, Time  0.439528
2021-09-24 01:14:29.873903 : Epoch  1, Batch    630, Loss  1.454745, Average Loss  1.463714, Time  0.447678
2021-09-24 01:14:32.694817 : Epoch  1, Batch    656, Loss  1.456776, Average Loss  1.459324, Time  0.437504
2021-09-24 01:14:35.891436 : Epoch  1, Batch    631, Loss  1.482173, Average Loss  1.463692, Time  0.448223
2021-09-24 01:14:38.726261 : Epoch  1, Batch    657, Loss  1.443151, Average Loss  1.459214, Time  0.454892
2021-09-24 01:14:41.917293 : Epoch  1, Batch    632, Loss  1.455538, Average Loss  1.463590, Time  0.448400
2021-09-24 01:14:44.749247 : Epoch  1, Batch    658, Loss  1.452830, Average Loss  1.459215, Time  0.441653
2021-09-24 01:14:47.952829 : Epoch  1, Batch    633, Loss  1.459046, Average Loss  1.463509, Time  0.462684
2021-09-24 01:14:50.759532 : Epoch  1, Batch    659, Loss  1.448825, Average Loss  1.459097, Time  0.438728
2021-09-24 01:14:53.971681 : Epoch  1, Batch    634, Loss  1.453720, Average Loss  1.463465, Time  0.448129
2021-09-24 01:14:56.784164 : Epoch  1, Batch    660, Loss  1.462723, Average Loss  1.459069, Time  0.438578
2021-09-24 01:14:59.999576 : Epoch  1, Batch    635, Loss  1.453781, Average Loss  1.463436, Time  0.445946
2021-09-24 01:15:02.792932 : Epoch  1, Batch    661, Loss  1.470452, Average Loss  1.459039, Time  0.440606
2021-09-24 01:15:06.024617 : Epoch  1, Batch    636, Loss  1.448703, Average Loss  1.463361, Time  0.450796
2021-09-24 01:15:08.820602 : Epoch  1, Batch    662, Loss  1.442784, Average Loss  1.458976, Time  0.438563
2021-09-24 01:15:12.044547 : Epoch  1, Batch    637, Loss  1.453664, Average Loss  1.463260, Time  0.447353
2021-09-24 01:15:14.825560 : Epoch  1, Batch    663, Loss  1.447036, Average Loss  1.458893, Time  0.440090
2021-09-24 01:15:18.066416 : Epoch  1, Batch    638, Loss  1.468529, Average Loss  1.463302, Time  0.447385
2021-09-24 01:15:20.850837 : Epoch  1, Batch    664, Loss  1.458502, Average Loss  1.458849, Time  0.441147
2021-09-24 01:15:24.067544 : Epoch  1, Batch    639, Loss  1.453924, Average Loss  1.463189, Time  0.445142
2021-09-24 01:15:26.874983 : Epoch  1, Batch    665, Loss  1.453846, Average Loss  1.458795, Time  0.452841
2021-09-24 01:15:30.085475 : Epoch  1, Batch    640, Loss  1.457951, Average Loss  1.463158, Time  0.450431
2021-09-24 01:15:32.896659 : Epoch  1, Batch    666, Loss  1.464666, Average Loss  1.458816, Time  0.441049
2021-09-24 01:15:36.113139 : Epoch  1, Batch    641, Loss  1.452520, Average Loss  1.463065, Time  0.458420
2021-09-24 01:15:38.916701 : Epoch  1, Batch    667, Loss  1.451380, Average Loss  1.458794, Time  0.444125
2021-09-24 01:15:42.132432 : Epoch  1, Batch    642, Loss  1.466194, Average Loss  1.463117, Time  0.445641
2021-09-24 01:15:44.931745 : Epoch  1, Batch    668, Loss  1.458402, Average Loss  1.458776, Time  0.441210
2021-09-24 01:15:48.160316 : Epoch  1, Batch    643, Loss  1.456292, Average Loss  1.463040, Time  0.448833
2021-09-24 01:15:50.944746 : Epoch  1, Batch    669, Loss  1.466185, Average Loss  1.458816, Time  0.439219
2021-09-24 01:15:54.209908 : Epoch  1, Batch    644, Loss  1.469132, Average Loss  1.462971, Time  0.448395
2021-09-24 01:15:56.961708 : Epoch  1, Batch    670, Loss  1.462983, Average Loss  1.458795, Time  0.442584
2021-09-24 01:16:00.248467 : Epoch  1, Batch    645, Loss  1.455232, Average Loss  1.462924, Time  0.448682
2021-09-24 01:16:02.974487 : Epoch  1, Batch    671, Loss  1.449909, Average Loss  1.458766, Time  0.439159
2021-09-24 01:16:06.279191 : Epoch  1, Batch    646, Loss  1.454643, Average Loss  1.462795, Time  0.446290
2021-09-24 01:16:08.988369 : Epoch  1, Batch    672, Loss  1.464505, Average Loss  1.458761, Time  0.439761
2021-09-24 01:16:12.291907 : Epoch  1, Batch    647, Loss  1.456722, Average Loss  1.462725, Time  0.447125
2021-09-24 01:16:15.023820 : Epoch  1, Batch    673, Loss  1.455134, Average Loss  1.458733, Time  0.449927
2021-09-24 01:16:18.310451 : Epoch  1, Batch    648, Loss  1.467457, Average Loss  1.462712, Time  0.461543
2021-09-24 01:16:21.035866 : Epoch  1, Batch    674, Loss  1.465459, Average Loss  1.458755, Time  0.444001
2021-09-24 01:16:24.340326 : Epoch  1, Batch    649, Loss  1.442902, Average Loss  1.462599, Time  0.449448
2021-09-24 01:16:27.054654 : Epoch  1, Batch    675, Loss  1.462621, Average Loss  1.458711, Time  0.443553
2021-09-24 01:16:30.362892 : Epoch  1, Batch    650, Loss  1.450786, Average Loss  1.462540, Time  0.450105
2021-09-24 01:16:33.066790 : Epoch  1, Batch    676, Loss  1.460335, Average Loss  1.458718, Time  0.440949
2021-09-24 01:16:36.375570 : Epoch  1, Batch    651, Loss  1.445686, Average Loss  1.462473, Time  0.445423
2021-09-24 01:16:39.072813 : Epoch  1, Batch    677, Loss  1.464024, Average Loss  1.458856, Time  0.440490
2021-09-24 01:16:42.375263 : Epoch  1, Batch    652, Loss  1.451282, Average Loss  1.462414, Time  0.444664
2021-09-24 01:16:45.092206 : Epoch  1, Batch    678, Loss  1.461825, Average Loss  1.458868, Time  0.439922
2021-09-24 01:16:48.401600 : Epoch  1, Batch    653, Loss  1.447469, Average Loss  1.462300, Time  0.450732
2021-09-24 01:16:51.112694 : Epoch  1, Batch    679, Loss  1.461621, Average Loss  1.458838, Time  0.438401
2021-09-24 01:16:54.430061 : Epoch  1, Batch    654, Loss  1.464265, Average Loss  1.462230, Time  0.446815
2021-09-24 01:16:57.152506 : Epoch  1, Batch    680, Loss  1.462463, Average Loss  1.458831, Time  0.448324
2021-09-24 01:17:00.428913 : Epoch  1, Batch    655, Loss  1.452142, Average Loss  1.462118, Time  0.444836
2021-09-24 01:17:03.170254 : Epoch  1, Batch    681, Loss  1.456954, Average Loss  1.458793, Time  0.440297
2021-09-24 01:17:06.476483 : Epoch  1, Batch    656, Loss  1.446516, Average Loss  1.462008, Time  0.460957
2021-09-24 01:17:09.173986 : Epoch  1, Batch    682, Loss  1.451005, Average Loss  1.458707, Time  0.438587
2021-09-24 01:17:12.499468 : Epoch  1, Batch    657, Loss  1.451915, Average Loss  1.461892, Time  0.448534
2021-09-24 01:17:15.184797 : Epoch  1, Batch    683, Loss  1.438667, Average Loss  1.458634, Time  0.441618
2021-09-24 01:17:18.491750 : Epoch  1, Batch    658, Loss  1.454803, Average Loss  1.461845, Time  0.446750
2021-09-24 01:17:21.203759 : Epoch  1, Batch    684, Loss  1.461903, Average Loss  1.458605, Time  0.442471
2021-09-24 01:17:24.507552 : Epoch  1, Batch    659, Loss  1.458118, Average Loss  1.461772, Time  0.447979
2021-09-24 01:17:27.220921 : Epoch  1, Batch    685, Loss  1.467569, Average Loss  1.458646, Time  0.440036
2021-09-24 01:17:30.508482 : Epoch  1, Batch    660, Loss  1.461065, Average Loss  1.461710, Time  0.445381
2021-09-24 01:17:33.238796 : Epoch  1, Batch    686, Loss  1.449844, Average Loss  1.458577, Time  0.438861
2021-09-24 01:17:36.514336 : Epoch  1, Batch    661, Loss  1.456782, Average Loss  1.461642, Time  0.446384
2021-09-24 01:17:39.240119 : Epoch  1, Batch    687, Loss  1.455822, Average Loss  1.458575, Time  0.441774
2021-09-24 01:17:42.517204 : Epoch  1, Batch    662, Loss  1.455881, Average Loss  1.461534, Time  0.450211
2021-09-24 01:17:45.258506 : Epoch  1, Batch    688, Loss  1.442263, Average Loss  1.458433, Time  0.449662
2021-09-24 01:17:48.540381 : Epoch  1, Batch    663, Loss  1.457830, Average Loss  1.461474, Time  0.445566
2021-09-24 01:17:51.275483 : Epoch  1, Batch    689, Loss  1.462625, Average Loss  1.458470, Time  0.445531
2021-09-24 01:17:54.553620 : Epoch  1, Batch    664, Loss  1.455187, Average Loss  1.461408, Time  0.461629
2021-09-24 01:17:57.287465 : Epoch  1, Batch    690, Loss  1.459349, Average Loss  1.458454, Time  0.440898
2021-09-24 01:18:00.541522 : Epoch  1, Batch    665, Loss  1.459320, Average Loss  1.461342, Time  0.446194
2021-09-24 01:18:03.304753 : Epoch  1, Batch    691, Loss  1.452012, Average Loss  1.458433, Time  0.439955
2021-09-24 01:18:06.540868 : Epoch  1, Batch    666, Loss  1.456177, Average Loss  1.461260, Time  0.448313
2021-09-24 01:18:09.307812 : Epoch  1, Batch    692, Loss  1.455979, Average Loss  1.458354, Time  0.439808
2021-09-24 01:18:12.536818 : Epoch  1, Batch    667, Loss  1.451151, Average Loss  1.461193, Time  0.448238
2021-09-24 01:18:15.319905 : Epoch  1, Batch    693, Loss  1.444504, Average Loss  1.458256, Time  0.438830
2021-09-24 01:18:18.545511 : Epoch  1, Batch    668, Loss  1.448908, Average Loss  1.461160, Time  0.447170
2021-09-24 01:18:21.345919 : Epoch  1, Batch    694, Loss  1.458025, Average Loss  1.458211, Time  0.441483
2021-09-24 01:18:24.557572 : Epoch  1, Batch    669, Loss  1.460632, Average Loss  1.461151, Time  0.446313
2021-09-24 01:18:27.381514 : Epoch  1, Batch    695, Loss  1.453717, Average Loss  1.458198, Time  0.450029
2021-09-24 01:18:30.579110 : Epoch  1, Batch    670, Loss  1.473628, Average Loss  1.461175, Time  0.451803
2021-09-24 01:18:33.393339 : Epoch  1, Batch    696, Loss  1.456493, Average Loss  1.458216, Time  0.439942
2021-09-24 01:18:36.610767 : Epoch  1, Batch    671, Loss  1.451173, Average Loss  1.461102, Time  0.456433
2021-09-24 01:18:39.412995 : Epoch  1, Batch    697, Loss  1.460875, Average Loss  1.458217, Time  0.439719
2021-09-24 01:18:42.620895 : Epoch  1, Batch    672, Loss  1.467562, Average Loss  1.461122, Time  0.448983
2021-09-24 01:18:45.428848 : Epoch  1, Batch    698, Loss  1.447076, Average Loss  1.458149, Time  0.439610
2021-09-24 01:18:48.635105 : Epoch  1, Batch    673, Loss  1.456945, Average Loss  1.461058, Time  0.446620
2021-09-24 01:18:51.445648 : Epoch  1, Batch    699, Loss  1.453465, Average Loss  1.458105, Time  0.444040
2021-09-24 01:18:54.636420 : Epoch  1, Batch    674, Loss  1.473469, Average Loss  1.461054, Time  0.448225
2021-09-24 01:18:57.461176 : Epoch  1, Batch    700, Loss  1.451289, Average Loss  1.458081, Time  0.440311
2021-09-24 01:19:00.656796 : Epoch  1, Batch    675, Loss  1.458161, Average Loss  1.461052, Time  0.450135
2021-09-24 01:19:06.663864 : Epoch  1, Batch    676, Loss  1.456754, Average Loss  1.460994, Time  0.445419
2021-09-24 01:19:12.638628 : Epoch  1, Batch    677, Loss  1.452253, Average Loss  1.460901, Time  0.445561
2021-09-24 01:19:18.673818 : Epoch  1, Batch    678, Loss  1.456326, Average Loss  1.460852, Time  0.448568
2021-09-24 01:19:24.719078 : Epoch  1, Batch    679, Loss  1.464346, Average Loss  1.460795, Time  0.458096
2021-09-24 01:19:30.742227 : Epoch  1, Batch    680, Loss  1.451495, Average Loss  1.460749, Time  0.446941
2021-09-24 01:19:36.769808 : Epoch  1, Batch    681, Loss  1.456528, Average Loss  1.460726, Time  0.447105
2021-09-24 01:19:42.786045 : Epoch  1, Batch    682, Loss  1.456462, Average Loss  1.460648, Time  0.450278
2021-09-24 01:19:48.808468 : Epoch  1, Batch    683, Loss  1.454728, Average Loss  1.460623, Time  0.448978
2021-09-24 01:19:54.803537 : Epoch  1, Batch    684, Loss  1.454581, Average Loss  1.460564, Time  0.445622
2021-09-24 01:20:00.831942 : Epoch  1, Batch    685, Loss  1.456904, Average Loss  1.460509, Time  0.449383
2021-09-24 01:20:06.827605 : Epoch  1, Batch    686, Loss  1.454263, Average Loss  1.460430, Time  0.455708
2021-09-24 01:20:12.822870 : Epoch  1, Batch    687, Loss  1.462948, Average Loss  1.460388, Time  0.446683
2021-09-24 01:20:18.816965 : Epoch  1, Batch    688, Loss  1.461819, Average Loss  1.460327, Time  0.451563
2021-09-24 01:20:24.821463 : Epoch  1, Batch    689, Loss  1.451276, Average Loss  1.460267, Time  0.444620
2021-09-24 01:20:30.839271 : Epoch  1, Batch    690, Loss  1.472662, Average Loss  1.460273, Time  0.450467
2021-09-24 01:20:36.873942 : Epoch  1, Batch    691, Loss  1.460944, Average Loss  1.460267, Time  0.450099
2021-09-24 01:20:42.885465 : Epoch  1, Batch    692, Loss  1.463552, Average Loss  1.460225, Time  0.447006
2021-09-24 01:20:48.899144 : Epoch  1, Batch    693, Loss  1.462583, Average Loss  1.460182, Time  0.447205
2021-09-24 01:20:54.926832 : Epoch  1, Batch    694, Loss  1.464338, Average Loss  1.460199, Time  0.463293
2021-09-24 01:21:00.942860 : Epoch  1, Batch    695, Loss  1.453714, Average Loss  1.460115, Time  0.451505
2021-09-24 01:21:06.926068 : Epoch  1, Batch    696, Loss  1.450401, Average Loss  1.460062, Time  0.445001
2021-09-24 01:21:12.918933 : Epoch  1, Batch    697, Loss  1.460609, Average Loss  1.460034, Time  0.445025
2021-09-24 01:21:18.929591 : Epoch  1, Batch    698, Loss  1.469411, Average Loss  1.459987, Time  0.447970
2021-09-24 01:21:24.953836 : Epoch  1, Batch    699, Loss  1.470428, Average Loss  1.460002, Time  0.445979
2021-09-24 01:21:30.973298 : Epoch  1, Batch    700, Loss  1.456979, Average Loss  1.459984, Time  0.445173
2021-09-24 01:23:40.907771 : CheckPoint: Validation Loss  0.00025404, Best Loss  0.00025101
2021-09-24 01:23:46.929332 : Epoch  1, Batch    701, Loss  1.443899, Average Loss  1.457909, Time  0.455231
2021-09-24 01:23:52.878884 : Epoch  1, Batch    702, Loss  1.461968, Average Loss  1.457880, Time  0.439123
2021-09-24 01:23:58.841477 : Epoch  1, Batch    703, Loss  1.445378, Average Loss  1.457841, Time  0.440106
2021-09-24 01:24:04.804612 : Epoch  1, Batch    704, Loss  1.445326, Average Loss  1.457773, Time  0.440287
2021-09-24 01:24:10.758842 : Epoch  1, Batch    705, Loss  1.461307, Average Loss  1.457784, Time  0.440413
2021-09-24 01:24:16.707362 : Epoch  1, Batch    706, Loss  1.450940, Average Loss  1.457743, Time  0.441760
2021-09-24 01:24:22.673874 : Epoch  1, Batch    707, Loss  1.459048, Average Loss  1.457747, Time  0.444612
2021-09-24 01:24:28.637140 : Epoch  1, Batch    708, Loss  1.453229, Average Loss  1.457714, Time  0.440426
2021-09-24 01:24:34.588037 : Epoch  1, Batch    709, Loss  1.454092, Average Loss  1.457673, Time  0.449127
2021-09-24 01:24:40.570248 : Epoch  1, Batch    710, Loss  1.459355, Average Loss  1.457614, Time  0.438899
2021-09-24 01:24:46.534508 : Epoch  1, Batch    711, Loss  1.452857, Average Loss  1.457562, Time  0.441592
2021-09-24 01:24:52.486659 : Epoch  1, Batch    712, Loss  1.452256, Average Loss  1.457445, Time  0.440310
2021-09-24 01:24:58.447357 : Epoch  1, Batch    713, Loss  1.452447, Average Loss  1.457399, Time  0.439050
2021-09-24 01:25:04.398920 : Epoch  1, Batch    714, Loss  1.446377, Average Loss  1.457368, Time  0.441255
2021-09-24 01:25:10.342390 : Epoch  1, Batch    715, Loss  1.456863, Average Loss  1.457380, Time  0.440415
2021-09-24 01:25:16.304543 : Epoch  1, Batch    716, Loss  1.462463, Average Loss  1.457424, Time  0.451448
2021-09-24 01:25:22.268827 : Epoch  1, Batch    717, Loss  1.454078, Average Loss  1.457361, Time  0.440150
2021-09-24 01:25:28.222530 : Epoch  1, Batch    718, Loss  1.447751, Average Loss  1.457263, Time  0.439134
2021-09-24 01:25:34.166756 : Epoch  1, Batch    719, Loss  1.470730, Average Loss  1.457337, Time  0.441542
2021-09-24 01:25:40.110633 : Epoch  1, Batch    720, Loss  1.454374, Average Loss  1.457353, Time  0.442340
2021-09-24 01:25:46.086850 : Epoch  1, Batch    721, Loss  1.450043, Average Loss  1.457312, Time  0.439917
2021-09-24 01:25:52.043369 : Epoch  1, Batch    722, Loss  1.456239, Average Loss  1.457351, Time  0.439858
2021-09-24 01:25:57.983538 : Epoch  1, Batch    723, Loss  1.454414, Average Loss  1.457348, Time  0.439169
2021-09-24 01:26:03.952841 : Epoch  1, Batch    724, Loss  1.447013, Average Loss  1.457278, Time  0.451768
2021-09-24 01:26:09.953457 : Epoch  1, Batch    725, Loss  1.456804, Average Loss  1.457219, Time  0.440302
2021-09-24 01:26:15.901809 : Epoch  1, Batch    726, Loss  1.447602, Average Loss  1.457131, Time  0.440941
2021-09-24 01:26:16.129782 : CheckPoint: Validation Loss  0.00024635, Best Loss  0.00024635
2021-09-24 01:26:16.171483 : Best Model Updated
2021-09-24 01:26:21.870854 : Epoch  1, Batch    727, Loss  1.457738, Average Loss  1.457223, Time  0.438989
2021-09-24 01:26:22.852013 : Epoch  1, Batch    701, Loss  1.456430, Average Loss  1.459959, Time  0.455772
2021-09-24 01:26:27.832160 : Epoch  1, Batch    728, Loss  1.456433, Average Loss  1.457216, Time  0.448695
2021-09-24 01:26:28.983109 : Epoch  1, Batch    702, Loss  1.463290, Average Loss  1.460070, Time  0.453700
2021-09-24 01:26:33.775979 : Epoch  1, Batch    729, Loss  1.458604, Average Loss  1.457157, Time  0.441145
2021-09-24 01:26:35.090403 : Epoch  1, Batch    703, Loss  1.451267, Average Loss  1.459938, Time  0.445136
2021-09-24 01:26:39.726914 : Epoch  1, Batch    730, Loss  1.442211, Average Loss  1.457076, Time  0.440836
2021-09-24 01:26:41.205847 : Epoch  1, Batch    704, Loss  1.449393, Average Loss  1.459832, Time  0.448630
2021-09-24 01:26:45.676654 : Epoch  1, Batch    731, Loss  1.465205, Average Loss  1.457088, Time  0.439976
2021-09-24 01:26:47.348214 : Epoch  1, Batch    705, Loss  1.433553, Average Loss  1.459686, Time  0.452924
2021-09-24 01:26:51.655186 : Epoch  1, Batch    732, Loss  1.447386, Average Loss  1.457015, Time  0.454067
2021-09-24 01:26:53.480386 : Epoch  1, Batch    706, Loss  1.461684, Average Loss  1.459629, Time  0.452399
2021-09-24 01:26:57.625430 : Epoch  1, Batch    733, Loss  1.453002, Average Loss  1.457062, Time  0.442270
2021-09-24 01:26:59.601974 : Epoch  1, Batch    707, Loss  1.458681, Average Loss  1.459605, Time  0.459125
2021-09-24 01:27:03.584855 : Epoch  1, Batch    734, Loss  1.466691, Average Loss  1.457072, Time  0.441715
2021-09-24 01:27:05.713698 : Epoch  1, Batch    708, Loss  1.454431, Average Loss  1.459586, Time  0.450439
2021-09-24 01:27:09.524269 : Epoch  1, Batch    735, Loss  1.445132, Average Loss  1.456976, Time  0.439642
2021-09-24 01:27:11.827159 : Epoch  1, Batch    709, Loss  1.458324, Average Loss  1.459565, Time  0.450261
2021-09-24 01:27:15.477997 : Epoch  1, Batch    736, Loss  1.464219, Average Loss  1.456954, Time  0.439103
2021-09-24 01:27:17.943436 : Epoch  1, Batch    710, Loss  1.450449, Average Loss  1.459506, Time  0.448354
2021-09-24 01:27:21.443266 : Epoch  1, Batch    737, Loss  1.459409, Average Loss  1.457001, Time  0.443002
2021-09-24 01:27:24.069595 : Epoch  1, Batch    711, Loss  1.459635, Average Loss  1.459460, Time  0.447304
2021-09-24 01:27:27.382837 : Epoch  1, Batch    738, Loss  1.446412, Average Loss  1.456978, Time  0.441559
2021-09-24 01:27:30.180335 : Epoch  1, Batch    712, Loss  1.455807, Average Loss  1.459414, Time  0.446453
2021-09-24 01:27:33.334817 : Epoch  1, Batch    739, Loss  1.447296, Average Loss  1.456922, Time  0.453537
2021-09-24 01:27:36.279909 : Epoch  1, Batch    713, Loss  1.453940, Average Loss  1.459358, Time  0.444787
2021-09-24 01:27:39.293796 : Epoch  1, Batch    740, Loss  1.461327, Average Loss  1.456911, Time  0.440193
2021-09-24 01:27:42.399751 : Epoch  1, Batch    714, Loss  1.472488, Average Loss  1.459367, Time  0.459317
2021-09-24 01:27:45.237546 : Epoch  1, Batch    741, Loss  1.466090, Average Loss  1.456946, Time  0.441243
2021-09-24 01:27:48.528876 : Epoch  1, Batch    715, Loss  1.450682, Average Loss  1.459261, Time  0.446363
2021-09-24 01:27:51.188044 : Epoch  1, Batch    742, Loss  1.454988, Average Loss  1.456896, Time  0.439805
2021-09-24 01:27:54.663448 : Epoch  1, Batch    716, Loss  1.453465, Average Loss  1.459212, Time  0.449383
2021-09-24 01:27:57.161193 : Epoch  1, Batch    743, Loss  1.455313, Average Loss  1.456776, Time  0.442730
2021-09-24 01:28:00.774559 : Epoch  1, Batch    717, Loss  1.444748, Average Loss  1.459143, Time  0.447193
2021-09-24 01:28:03.109782 : Epoch  1, Batch    744, Loss  1.450267, Average Loss  1.456672, Time  0.443865
2021-09-24 01:28:06.891072 : Epoch  1, Batch    718, Loss  1.448038, Average Loss  1.459034, Time  0.447979
2021-09-24 01:28:09.076018 : Epoch  1, Batch    745, Loss  1.449698, Average Loss  1.456656, Time  0.440619
2021-09-24 01:28:12.992525 : Epoch  1, Batch    719, Loss  1.457687, Average Loss  1.459037, Time  0.445877
2021-09-24 01:28:15.019512 : Epoch  1, Batch    746, Loss  1.448149, Average Loss  1.456579, Time  0.442246
2021-09-24 01:28:19.122370 : Epoch  1, Batch    720, Loss  1.458706, Average Loss  1.459019, Time  0.450469
2021-09-24 01:28:20.985019 : Epoch  1, Batch    747, Loss  1.449454, Average Loss  1.456491, Time  0.451262
2021-09-24 01:28:25.273639 : Epoch  1, Batch    721, Loss  1.463244, Average Loss  1.459043, Time  0.449302
2021-09-24 01:28:26.990245 : Epoch  1, Batch    748, Loss  1.460055, Average Loss  1.456526, Time  0.439403
2021-09-24 01:28:31.414895 : Epoch  1, Batch    722, Loss  1.466766, Average Loss  1.459026, Time  0.457968
2021-09-24 01:28:32.925118 : Epoch  1, Batch    749, Loss  1.457043, Average Loss  1.456557, Time  0.439470
2021-09-24 01:28:37.545651 : Epoch  1, Batch    723, Loss  1.452531, Average Loss  1.458914, Time  0.454923
2021-09-24 01:28:38.866779 : Epoch  1, Batch    750, Loss  1.455902, Average Loss  1.456551, Time  0.439125
2021-09-24 01:28:43.652685 : Epoch  1, Batch    724, Loss  1.458611, Average Loss  1.458927, Time  0.446049
2021-09-24 01:28:44.825852 : Epoch  1, Batch    751, Loss  1.449330, Average Loss  1.456555, Time  0.443459
2021-09-24 01:28:49.783372 : Epoch  1, Batch    725, Loss  1.442564, Average Loss  1.458843, Time  0.448414
2021-09-24 01:28:50.777819 : Epoch  1, Batch    752, Loss  1.446405, Average Loss  1.456521, Time  0.443487
2021-09-24 01:28:55.889415 : Epoch  1, Batch    726, Loss  1.450548, Average Loss  1.458804, Time  0.448292
2021-09-24 01:28:56.728745 : Epoch  1, Batch    753, Loss  1.445050, Average Loss  1.456380, Time  0.441976
2021-09-24 01:29:02.018809 : Epoch  1, Batch    727, Loss  1.464636, Average Loss  1.458705, Time  0.448565
2021-09-24 01:29:02.663715 : Epoch  1, Batch    754, Loss  1.453245, Average Loss  1.456350, Time  0.440730
2021-09-24 01:29:08.143966 : Epoch  1, Batch    728, Loss  1.461784, Average Loss  1.458692, Time  0.445436
2021-09-24 01:29:08.628806 : Epoch  1, Batch    755, Loss  1.450806, Average Loss  1.456261, Time  0.449294
2021-09-24 01:29:14.266959 : Epoch  1, Batch    729, Loss  1.456972, Average Loss  1.458659, Time  0.460882
2021-09-24 01:29:14.547902 : Epoch  1, Batch    756, Loss  1.450517, Average Loss  1.456200, Time  0.441022
2021-09-24 01:29:20.381998 : Epoch  1, Batch    730, Loss  1.462778, Average Loss  1.458674, Time  0.452346
2021-09-24 01:29:20.474627 : Epoch  1, Batch    757, Loss  1.447146, Average Loss  1.456138, Time  0.439129
2021-09-24 01:29:26.407745 : Epoch  1, Batch    758, Loss  1.465776, Average Loss  1.456202, Time  0.440616
2021-09-24 01:29:26.487889 : Epoch  1, Batch    731, Loss  1.445668, Average Loss  1.458621, Time  0.447579
2021-09-24 01:29:32.355795 : Epoch  1, Batch    759, Loss  1.436790, Average Loss  1.456078, Time  0.439045
2021-09-24 01:29:32.601211 : Epoch  1, Batch    732, Loss  1.452648, Average Loss  1.458484, Time  0.454078
2021-09-24 01:29:38.314085 : Epoch  1, Batch    760, Loss  1.450090, Average Loss  1.456053, Time  0.439200
2021-09-24 01:29:38.692354 : Epoch  1, Batch    733, Loss  1.463268, Average Loss  1.458529, Time  0.445915
2021-09-24 01:29:44.259204 : Epoch  1, Batch    761, Loss  1.455786, Average Loss  1.456057, Time  0.439317
2021-09-24 01:29:44.792713 : Epoch  1, Batch    734, Loss  1.443653, Average Loss  1.458482, Time  0.447190
2021-09-24 01:29:50.214324 : Epoch  1, Batch    762, Loss  1.453648, Average Loss  1.455997, Time  0.451382
2021-09-24 01:29:50.900130 : Epoch  1, Batch    735, Loss  1.453718, Average Loss  1.458411, Time  0.448344
2021-09-24 01:29:56.174855 : Epoch  1, Batch    763, Loss  1.461080, Average Loss  1.456039, Time  0.440408
2021-09-24 01:29:57.004891 : Epoch  1, Batch    736, Loss  1.458666, Average Loss  1.458350, Time  0.447543
2021-09-24 01:30:02.117850 : Epoch  1, Batch    764, Loss  1.446082, Average Loss  1.456006, Time  0.441242
2021-09-24 01:30:03.127242 : Epoch  1, Batch    737, Loss  1.455197, Average Loss  1.458284, Time  0.460487
2021-09-24 01:30:08.066025 : Epoch  1, Batch    765, Loss  1.458719, Average Loss  1.456023, Time  0.440275
2021-09-24 01:30:09.220826 : Epoch  1, Batch    738, Loss  1.453515, Average Loss  1.458229, Time  0.444973
2021-09-24 01:30:14.012401 : Epoch  1, Batch    766, Loss  1.460325, Average Loss  1.455988, Time  0.439264
2021-09-24 01:30:15.321787 : Epoch  1, Batch    739, Loss  1.451300, Average Loss  1.458134, Time  0.445662
2021-09-24 01:30:19.963313 : Epoch  1, Batch    767, Loss  1.456372, Average Loss  1.455999, Time  0.440508
2021-09-24 01:30:21.428911 : Epoch  1, Batch    740, Loss  1.463387, Average Loss  1.458201, Time  0.449652
2021-09-24 01:30:25.897831 : Epoch  1, Batch    768, Loss  1.453721, Average Loss  1.455970, Time  0.439302
2021-09-24 01:30:27.547188 : Epoch  1, Batch    741, Loss  1.454601, Average Loss  1.458165, Time  0.445174
2021-09-24 01:30:31.855989 : Epoch  1, Batch    769, Loss  1.443432, Average Loss  1.455853, Time  0.443528
2021-09-24 01:30:33.658683 : Epoch  1, Batch    742, Loss  1.457774, Average Loss  1.458148, Time  0.445092
2021-09-24 01:30:37.822004 : Epoch  1, Batch    770, Loss  1.465365, Average Loss  1.455879, Time  0.453949
2021-09-24 01:30:39.765389 : Epoch  1, Batch    743, Loss  1.436381, Average Loss  1.458028, Time  0.446069
2021-09-24 01:30:43.756457 : Epoch  1, Batch    771, Loss  1.443353, Average Loss  1.455769, Time  0.445012
2021-09-24 01:30:45.871518 : Epoch  1, Batch    744, Loss  1.450237, Average Loss  1.457985, Time  0.457151
2021-09-24 01:30:49.723723 : Epoch  1, Batch    772, Loss  1.459717, Average Loss  1.455757, Time  0.443600
2021-09-24 01:30:51.966945 : Epoch  1, Batch    745, Loss  1.455520, Average Loss  1.457944, Time  0.448308
2021-09-24 01:30:55.683370 : Epoch  1, Batch    773, Loss  1.464889, Average Loss  1.455795, Time  0.442194
2021-09-24 01:30:58.071908 : Epoch  1, Batch    746, Loss  1.453778, Average Loss  1.457918, Time  0.445667
2021-09-24 01:31:01.631883 : Epoch  1, Batch    774, Loss  1.460659, Average Loss  1.455837, Time  0.439856
2021-09-24 01:31:04.184448 : Epoch  1, Batch    747, Loss  1.458113, Average Loss  1.457930, Time  0.447824
2021-09-24 01:31:07.578865 : Epoch  1, Batch    775, Loss  1.466479, Average Loss  1.455890, Time  0.438757
2021-09-24 01:31:10.287914 : Epoch  1, Batch    748, Loss  1.450522, Average Loss  1.457883, Time  0.444971
2021-09-24 01:31:13.547036 : Epoch  1, Batch    776, Loss  1.452476, Average Loss  1.455894, Time  0.441084
2021-09-24 01:31:16.396538 : Epoch  1, Batch    749, Loss  1.455838, Average Loss  1.457858, Time  0.445077
2021-09-24 01:31:19.507219 : Epoch  1, Batch    777, Loss  1.450922, Average Loss  1.455865, Time  0.444703
2021-09-24 01:31:22.510524 : Epoch  1, Batch    750, Loss  1.452547, Average Loss  1.457778, Time  0.447572
2021-09-24 01:31:25.502316 : Epoch  1, Batch    778, Loss  1.453768, Average Loss  1.455858, Time  0.454895
2021-09-24 01:31:28.624897 : Epoch  1, Batch    751, Loss  1.450670, Average Loss  1.457784, Time  0.447563
2021-09-24 01:31:31.452861 : Epoch  1, Batch    779, Loss  1.454821, Average Loss  1.455766, Time  0.439082
2021-09-24 01:31:34.743985 : Epoch  1, Batch    752, Loss  1.445308, Average Loss  1.457706, Time  0.452852
2021-09-24 01:31:37.424877 : Epoch  1, Batch    780, Loss  1.465298, Average Loss  1.455772, Time  0.442304
2021-09-24 01:31:40.859557 : Epoch  1, Batch    753, Loss  1.451879, Average Loss  1.457673, Time  0.451128
2021-09-24 01:31:43.384939 : Epoch  1, Batch    781, Loss  1.445170, Average Loss  1.455636, Time  0.440322
2021-09-24 01:31:46.957008 : Epoch  1, Batch    754, Loss  1.444783, Average Loss  1.457561, Time  0.446472
2021-09-24 01:31:49.359222 : Epoch  1, Batch    782, Loss  1.451900, Average Loss  1.455608, Time  0.438910
2021-09-24 01:31:53.061962 : Epoch  1, Batch    755, Loss  1.455097, Average Loss  1.457513, Time  0.447651
2021-09-24 01:31:55.314698 : Epoch  1, Batch    783, Loss  1.435751, Average Loss  1.455498, Time  0.442095
2021-09-24 01:31:59.174857 : Epoch  1, Batch    756, Loss  1.456182, Average Loss  1.457462, Time  0.444974
2021-09-24 01:32:01.249439 : Epoch  1, Batch    784, Loss  1.451236, Average Loss  1.455493, Time  0.441580
2021-09-24 01:32:05.294330 : Epoch  1, Batch    757, Loss  1.456836, Average Loss  1.457477, Time  0.446971
2021-09-24 01:32:07.214687 : Epoch  1, Batch    785, Loss  1.442544, Average Loss  1.455422, Time  0.456490
2021-09-24 01:32:11.411115 : Epoch  1, Batch    758, Loss  1.445803, Average Loss  1.457405, Time  0.448007
2021-09-24 01:32:13.161551 : Epoch  1, Batch    786, Loss  1.465952, Average Loss  1.455476, Time  0.439477
2021-09-24 01:32:17.549066 : Epoch  1, Batch    759, Loss  1.457514, Average Loss  1.457402, Time  0.462170
2021-09-24 01:32:19.116300 : Epoch  1, Batch    787, Loss  1.439099, Average Loss  1.455347, Time  0.439574
2021-09-24 01:32:23.701134 : Epoch  1, Batch    760, Loss  1.458044, Average Loss  1.457426, Time  0.449099
2021-09-24 01:32:25.071463 : Epoch  1, Batch    788, Loss  1.450154, Average Loss  1.455349, Time  0.443904
2021-09-24 01:32:29.813551 : Epoch  1, Batch    761, Loss  1.454897, Average Loss  1.457351, Time  0.445217
2021-09-24 01:32:31.041806 : Epoch  1, Batch    789, Loss  1.451547, Average Loss  1.455335, Time  0.440879
2021-09-24 01:32:35.918874 : Epoch  1, Batch    762, Loss  1.461170, Average Loss  1.457401, Time  0.444511
2021-09-24 01:32:36.993530 : Epoch  1, Batch    790, Loss  1.436822, Average Loss  1.455290, Time  0.439015
2021-09-24 01:32:42.006016 : Epoch  1, Batch    763, Loss  1.459565, Average Loss  1.457412, Time  0.445412
2021-09-24 01:32:42.936089 : Epoch  1, Batch    791, Loss  1.451321, Average Loss  1.455292, Time  0.439360
2021-09-24 01:32:48.090105 : Epoch  1, Batch    764, Loss  1.449835, Average Loss  1.457357, Time  0.445833
2021-09-24 01:32:48.881705 : Epoch  1, Batch    792, Loss  1.463739, Average Loss  1.455362, Time  0.438854
2021-09-24 01:32:54.200899 : Epoch  1, Batch    765, Loss  1.450965, Average Loss  1.457311, Time  0.446502
2021-09-24 01:32:54.854500 : Epoch  1, Batch    793, Loss  1.446362, Average Loss  1.455279, Time  0.453852
2021-09-24 01:33:00.319691 : Epoch  1, Batch    766, Loss  1.465430, Average Loss  1.457307, Time  0.449233
2021-09-24 01:33:00.803879 : Epoch  1, Batch    794, Loss  1.447877, Average Loss  1.455230, Time  0.439294
2021-09-24 01:33:06.432442 : Epoch  1, Batch    767, Loss  1.460293, Average Loss  1.457232, Time  0.457587
2021-09-24 01:33:06.726633 : Epoch  1, Batch    795, Loss  1.458018, Average Loss  1.455215, Time  0.439795
2021-09-24 01:33:12.532453 : Epoch  1, Batch    768, Loss  1.439829, Average Loss  1.457154, Time  0.446427
2021-09-24 01:33:12.662366 : Epoch  1, Batch    796, Loss  1.447066, Average Loss  1.455155, Time  0.439290
2021-09-24 01:33:18.594039 : Epoch  1, Batch    797, Loss  1.447475, Average Loss  1.455021, Time  0.443673
2021-09-24 01:33:18.670729 : Epoch  1, Batch    769, Loss  1.458228, Average Loss  1.457102, Time  0.447512
2021-09-24 01:33:24.535667 : Epoch  1, Batch    798, Loss  1.458608, Average Loss  1.455020, Time  0.440112
2021-09-24 01:33:24.746728 : Epoch  1, Batch    770, Loss  1.451731, Average Loss  1.457105, Time  0.446565
2021-09-24 01:33:30.479082 : Epoch  1, Batch    799, Loss  1.449413, Average Loss  1.454954, Time  0.441053
2021-09-24 01:33:30.832860 : Epoch  1, Batch    771, Loss  1.448696, Average Loss  1.457005, Time  0.445541
2021-09-24 01:33:36.426398 : Epoch  1, Batch    800, Loss  1.453954, Average Loss  1.454956, Time  0.440022
2021-09-24 01:33:36.903868 : Epoch  1, Batch    772, Loss  1.463608, Average Loss  1.456976, Time  0.446118
2021-09-24 01:33:43.025859 : Epoch  1, Batch    773, Loss  1.459936, Average Loss  1.456974, Time  0.447013
2021-09-24 01:33:49.135322 : Epoch  1, Batch    774, Loss  1.459317, Average Loss  1.456980, Time  0.461295
2021-09-24 01:33:55.250806 : Epoch  1, Batch    775, Loss  1.449962, Average Loss  1.456915, Time  0.446966
2021-09-24 01:34:01.353996 : Epoch  1, Batch    776, Loss  1.451846, Average Loss  1.456816, Time  0.450373
2021-09-24 01:34:07.456950 : Epoch  1, Batch    777, Loss  1.453358, Average Loss  1.456738, Time  0.446270
2021-09-24 01:34:13.570528 : Epoch  1, Batch    778, Loss  1.461539, Average Loss  1.456741, Time  0.445570
2021-09-24 01:34:19.675996 : Epoch  1, Batch    779, Loss  1.460088, Average Loss  1.456756, Time  0.448685
2021-09-24 01:34:25.774558 : Epoch  1, Batch    780, Loss  1.447674, Average Loss  1.456699, Time  0.448463
2021-09-24 01:34:31.869703 : Epoch  1, Batch    781, Loss  1.456118, Average Loss  1.456707, Time  0.444733
2021-09-24 01:34:37.986494 : Epoch  1, Batch    782, Loss  1.455640, Average Loss  1.456708, Time  0.458479
2021-09-24 01:34:44.098813 : Epoch  1, Batch    783, Loss  1.449497, Average Loss  1.456689, Time  0.449530
2021-09-24 01:34:50.217644 : Epoch  1, Batch    784, Loss  1.452002, Average Loss  1.456596, Time  0.445810
2021-09-24 01:34:56.328325 : Epoch  1, Batch    785, Loss  1.449897, Average Loss  1.456546, Time  0.447643
2021-09-24 01:35:02.416097 : Epoch  1, Batch    786, Loss  1.465785, Average Loss  1.456597, Time  0.445177
2021-09-24 01:35:08.521264 : Epoch  1, Batch    787, Loss  1.464025, Average Loss  1.456578, Time  0.446431
2021-09-24 01:35:14.615966 : Epoch  1, Batch    788, Loss  1.448882, Average Loss  1.456515, Time  0.445949
2021-09-24 01:35:20.731463 : Epoch  1, Batch    789, Loss  1.452481, Average Loss  1.456459, Time  0.459893
2021-09-24 01:35:26.832034 : Epoch  1, Batch    790, Loss  1.462630, Average Loss  1.456415, Time  0.446671
2021-09-24 01:35:32.924753 : Epoch  1, Batch    791, Loss  1.449407, Average Loss  1.456340, Time  0.446967
2021-09-24 01:35:39.025937 : Epoch  1, Batch    792, Loss  1.452025, Average Loss  1.456298, Time  0.445259
2021-09-24 01:35:45.155853 : Epoch  1, Batch    793, Loss  1.459269, Average Loss  1.456230, Time  0.449368
2021-09-24 01:35:51.294298 : Epoch  1, Batch    794, Loss  1.458770, Average Loss  1.456206, Time  0.449325
2021-09-24 01:35:57.423883 : Epoch  1, Batch    795, Loss  1.459530, Average Loss  1.456231, Time  0.447864
2021-09-24 01:36:03.537656 : Epoch  1, Batch    796, Loss  1.455313, Average Loss  1.456240, Time  0.445418
2021-09-24 01:36:09.677765 : Epoch  1, Batch    797, Loss  1.434632, Average Loss  1.456112, Time  0.464895
2021-09-24 01:36:15.786306 : Epoch  1, Batch    798, Loss  1.448804, Average Loss  1.456130, Time  0.446801
2021-09-24 01:36:21.906819 : Epoch  1, Batch    799, Loss  1.455451, Average Loss  1.456111, Time  0.446945
2021-09-24 01:36:28.018219 : Epoch  1, Batch    800, Loss  1.462363, Average Loss  1.456164, Time  0.448453
2021-09-24 01:38:21.153071 : CheckPoint: Validation Loss  0.00025517, Best Loss  0.00025101
2021-09-24 01:38:27.176569 : Epoch  1, Batch    801, Loss  1.451244, Average Loss  1.454926, Time  0.441967
2021-09-24 01:38:33.140230 : Epoch  1, Batch    802, Loss  1.452991, Average Loss  1.454880, Time  0.440777
2021-09-24 01:38:39.112934 : Epoch  1, Batch    803, Loss  1.458418, Average Loss  1.454867, Time  0.441276
2021-09-24 01:38:45.082874 : Epoch  1, Batch    804, Loss  1.454061, Average Loss  1.454881, Time  0.440121
2021-09-24 01:38:51.049910 : Epoch  1, Batch    805, Loss  1.453541, Average Loss  1.454808, Time  0.444440
2021-09-24 01:38:57.009222 : Epoch  1, Batch    806, Loss  1.438705, Average Loss  1.454739, Time  0.439905
2021-09-24 01:39:03.028289 : Epoch  1, Batch    807, Loss  1.462772, Average Loss  1.454773, Time  0.455511
2021-09-24 01:39:09.005990 : Epoch  1, Batch    808, Loss  1.445919, Average Loss  1.454728, Time  0.439271
2021-09-24 01:39:15.001316 : Epoch  1, Batch    809, Loss  1.436011, Average Loss  1.454564, Time  0.440885
2021-09-24 01:39:20.965597 : Epoch  1, Batch    810, Loss  1.454626, Average Loss  1.454525, Time  0.439097
2021-09-24 01:39:26.930528 : Epoch  1, Batch    811, Loss  1.464003, Average Loss  1.454577, Time  0.444123
2021-09-24 01:39:32.912297 : Epoch  1, Batch    812, Loss  1.435614, Average Loss  1.454472, Time  0.441442
2021-09-24 01:39:38.876778 : Epoch  1, Batch    813, Loss  1.449339, Average Loss  1.454410, Time  0.439498
2021-09-24 01:39:44.829729 : Epoch  1, Batch    814, Loss  1.460355, Average Loss  1.454427, Time  0.438794
2021-09-24 01:39:50.819900 : Epoch  1, Batch    815, Loss  1.446605, Average Loss  1.454354, Time  0.455789
2021-09-24 01:39:56.798817 : Epoch  1, Batch    816, Loss  1.451449, Average Loss  1.454333, Time  0.441289
2021-09-24 01:40:02.758057 : Epoch  1, Batch    817, Loss  1.448041, Average Loss  1.454258, Time  0.439398
2021-09-24 01:40:08.733824 : Epoch  1, Batch    818, Loss  1.442031, Average Loss  1.454133, Time  0.441180
2021-09-24 01:40:14.686489 : Epoch  1, Batch    819, Loss  1.444268, Average Loss  1.454128, Time  0.444059
2021-09-24 01:40:20.642750 : Epoch  1, Batch    820, Loss  1.446937, Average Loss  1.454077, Time  0.440444
2021-09-24 01:40:26.610462 : Epoch  1, Batch    821, Loss  1.456787, Average Loss  1.454120, Time  0.441416
2021-09-24 01:40:32.572036 : Epoch  1, Batch    822, Loss  1.438709, Average Loss  1.454011, Time  0.439012
2021-09-24 01:40:38.551187 : Epoch  1, Batch    823, Loss  1.455698, Average Loss  1.454014, Time  0.448563
2021-09-24 01:40:44.489541 : Epoch  1, Batch    824, Loss  1.464798, Average Loss  1.454013, Time  0.438894
2021-09-24 01:40:50.440084 : Epoch  1, Batch    825, Loss  1.447606, Average Loss  1.453913, Time  0.438792
2021-09-24 01:40:56.397285 : Epoch  1, Batch    826, Loss  1.462145, Average Loss  1.454001, Time  0.439413
2021-09-24 01:41:02.369157 : Epoch  1, Batch    827, Loss  1.450354, Average Loss  1.453898, Time  0.441252
2021-09-24 01:41:08.337186 : Epoch  1, Batch    828, Loss  1.448386, Average Loss  1.453832, Time  0.442380
2021-09-24 01:41:12.795843 : CheckPoint: Validation Loss  0.00025378, Best Loss  0.00024635
2021-09-24 01:41:14.297375 : Epoch  1, Batch    829, Loss  1.459131, Average Loss  1.453850, Time  0.440469
2021-09-24 01:41:18.808980 : Epoch  1, Batch    801, Loss  1.458768, Average Loss  1.456104, Time  0.447494
2021-09-24 01:41:20.269539 : Epoch  1, Batch    830, Loss  1.450041, Average Loss  1.453799, Time  0.451794
2021-09-24 01:41:24.857859 : Epoch  1, Batch    802, Loss  1.439464, Average Loss  1.456015, Time  0.458828
2021-09-24 01:41:26.212785 : Epoch  1, Batch    831, Loss  1.447769, Average Loss  1.453714, Time  0.438668
2021-09-24 01:41:30.891269 : Epoch  1, Batch    803, Loss  1.454673, Average Loss  1.455948, Time  0.446547
2021-09-24 01:41:32.186574 : Epoch  1, Batch    832, Loss  1.446437, Average Loss  1.453681, Time  0.442931
2021-09-24 01:41:36.905211 : Epoch  1, Batch    804, Loss  1.455619, Average Loss  1.455927, Time  0.446577
2021-09-24 01:41:38.133243 : Epoch  1, Batch    833, Loss  1.460400, Average Loss  1.453741, Time  0.440633
2021-09-24 01:41:42.937469 : Epoch  1, Batch    805, Loss  1.451030, Average Loss  1.455951, Time  0.445911
2021-09-24 01:41:44.088344 : Epoch  1, Batch    834, Loss  1.454526, Average Loss  1.453753, Time  0.439227
2021-09-24 01:41:48.964708 : Epoch  1, Batch    806, Loss  1.445174, Average Loss  1.455918, Time  0.448819
2021-09-24 01:41:50.041322 : Epoch  1, Batch    835, Loss  1.456317, Average Loss  1.453795, Time  0.443281
2021-09-24 01:41:54.984793 : Epoch  1, Batch    807, Loss  1.451178, Average Loss  1.455873, Time  0.444767
2021-09-24 01:41:55.987851 : Epoch  1, Batch    836, Loss  1.446063, Average Loss  1.453735, Time  0.438602
2021-09-24 01:42:01.038680 : Epoch  1, Batch    808, Loss  1.454050, Average Loss  1.455892, Time  0.447723
2021-09-24 01:42:01.944908 : Epoch  1, Batch    837, Loss  1.450070, Average Loss  1.453677, Time  0.438957
2021-09-24 01:42:07.104633 : Epoch  1, Batch    809, Loss  1.459197, Average Loss  1.455931, Time  0.449172
2021-09-24 01:42:07.933286 : Epoch  1, Batch    838, Loss  1.448738, Average Loss  1.453673, Time  0.451178
2021-09-24 01:42:13.183979 : Epoch  1, Batch    810, Loss  1.448972, Average Loss  1.455864, Time  0.468481
2021-09-24 01:42:13.902462 : Epoch  1, Batch    839, Loss  1.448538, Average Loss  1.453559, Time  0.440162
2021-09-24 01:42:19.232445 : Epoch  1, Batch    811, Loss  1.453260, Average Loss  1.455833, Time  0.445477
2021-09-24 01:42:19.874850 : Epoch  1, Batch    840, Loss  1.452525, Average Loss  1.453553, Time  0.444295
2021-09-24 01:42:25.290597 : Epoch  1, Batch    812, Loss  1.460132, Average Loss  1.455903, Time  0.448946
2021-09-24 01:42:25.830553 : Epoch  1, Batch    841, Loss  1.469924, Average Loss  1.453619, Time  0.438840
2021-09-24 01:42:31.333976 : Epoch  1, Batch    813, Loss  1.462845, Average Loss  1.455939, Time  0.447734
2021-09-24 01:42:31.768190 : Epoch  1, Batch    842, Loss  1.452145, Average Loss  1.453661, Time  0.439112
2021-09-24 01:42:37.384621 : Epoch  1, Batch    814, Loss  1.444029, Average Loss  1.455812, Time  0.448232
2021-09-24 01:42:37.738049 : Epoch  1, Batch    843, Loss  1.448544, Average Loss  1.453639, Time  0.447221
2021-09-24 01:42:43.437644 : Epoch  1, Batch    815, Loss  1.465155, Average Loss  1.455857, Time  0.447892
2021-09-24 01:42:43.706788 : Epoch  1, Batch    844, Loss  1.452555, Average Loss  1.453687, Time  0.442029
2021-09-24 01:42:49.487909 : Epoch  1, Batch    816, Loss  1.456354, Average Loss  1.455869, Time  0.447171
2021-09-24 01:42:49.668706 : Epoch  1, Batch    845, Loss  1.432604, Average Loss  1.453550, Time  0.439972
2021-09-24 01:42:55.545833 : Epoch  1, Batch    817, Loss  1.450134, Average Loss  1.455790, Time  0.455440
2021-09-24 01:42:55.639922 : Epoch  1, Batch    846, Loss  1.448619, Average Loss  1.453544, Time  0.461490
2021-09-24 01:43:01.614921 : Epoch  1, Batch    847, Loss  1.445975, Average Loss  1.453482, Time  0.446107
2021-09-24 01:43:01.645958 : Epoch  1, Batch    818, Loss  1.452308, Average Loss  1.455757, Time  0.449086
2021-09-24 01:43:07.642914 : Epoch  1, Batch    848, Loss  1.454503, Average Loss  1.453486, Time  0.439274
2021-09-24 01:43:07.704407 : Epoch  1, Batch    819, Loss  1.451576, Average Loss  1.455688, Time  0.448406
2021-09-24 01:43:13.613862 : Epoch  1, Batch    849, Loss  1.447022, Average Loss  1.453437, Time  0.442506
2021-09-24 01:43:13.767322 : Epoch  1, Batch    820, Loss  1.456050, Average Loss  1.455734, Time  0.450394
2021-09-24 01:43:19.582843 : Epoch  1, Batch    850, Loss  1.468712, Average Loss  1.453504, Time  0.442983
2021-09-24 01:43:19.808082 : Epoch  1, Batch    821, Loss  1.460049, Average Loss  1.455752, Time  0.449732
2021-09-24 01:43:25.565826 : Epoch  1, Batch    851, Loss  1.448020, Average Loss  1.453557, Time  0.442141
2021-09-24 01:43:25.833407 : Epoch  1, Batch    822, Loss  1.447838, Average Loss  1.455729, Time  0.446013
2021-09-24 01:43:31.551940 : Epoch  1, Batch    852, Loss  1.452380, Average Loss  1.453513, Time  0.439415
2021-09-24 01:43:31.887742 : Epoch  1, Batch    823, Loss  1.460615, Average Loss  1.455772, Time  0.448484
2021-09-24 01:43:37.550128 : Epoch  1, Batch    853, Loss  1.463423, Average Loss  1.453525, Time  0.447052
2021-09-24 01:43:37.928531 : Epoch  1, Batch    824, Loss  1.435968, Average Loss  1.455664, Time  0.452531
2021-09-24 01:43:43.534649 : Epoch  1, Batch    854, Loss  1.461474, Average Loss  1.453549, Time  0.442380
2021-09-24 01:43:43.980958 : Epoch  1, Batch    825, Loss  1.443426, Average Loss  1.455596, Time  0.460588
2021-09-24 01:43:49.507901 : Epoch  1, Batch    855, Loss  1.436511, Average Loss  1.453416, Time  0.439137
2021-09-24 01:43:50.012104 : Epoch  1, Batch    826, Loss  1.464525, Average Loss  1.455604, Time  0.446358
2021-09-24 01:43:55.485167 : Epoch  1, Batch    856, Loss  1.459500, Average Loss  1.453430, Time  0.441246
2021-09-24 01:43:56.043628 : Epoch  1, Batch    827, Loss  1.454857, Average Loss  1.455598, Time  0.449851
2021-09-24 01:44:01.438649 : Epoch  1, Batch    857, Loss  1.463667, Average Loss  1.453532, Time  0.439013
2021-09-24 01:44:02.080286 : Epoch  1, Batch    828, Loss  1.465233, Average Loss  1.455651, Time  0.445980
2021-09-24 01:44:07.402614 : Epoch  1, Batch    858, Loss  1.456137, Average Loss  1.453549, Time  0.441816
2021-09-24 01:44:08.118034 : Epoch  1, Batch    829, Loss  1.447188, Average Loss  1.455589, Time  0.446576
2021-09-24 01:44:13.370507 : Epoch  1, Batch    859, Loss  1.454297, Average Loss  1.453576, Time  0.438922
2021-09-24 01:44:14.154342 : Epoch  1, Batch    830, Loss  1.467735, Average Loss  1.455654, Time  0.447651
2021-09-24 01:44:19.315671 : Epoch  1, Batch    860, Loss  1.456405, Average Loss  1.453545, Time  0.438705
2021-09-24 01:44:20.217644 : Epoch  1, Batch    831, Loss  1.456632, Average Loss  1.455526, Time  0.445447
2021-09-24 01:44:25.276260 : Epoch  1, Batch    861, Loss  1.461164, Average Loss  1.453498, Time  0.453965
2021-09-24 01:44:26.265569 : Epoch  1, Batch    832, Loss  1.447727, Average Loss  1.455487, Time  0.458675
2021-09-24 01:44:31.252816 : Epoch  1, Batch    862, Loss  1.449325, Average Loss  1.453531, Time  0.440496
2021-09-24 01:44:32.302882 : Epoch  1, Batch    833, Loss  1.450169, Average Loss  1.455443, Time  0.444791
2021-09-24 01:44:37.205622 : Epoch  1, Batch    863, Loss  1.449341, Average Loss  1.453542, Time  0.443157
2021-09-24 01:44:38.322874 : Epoch  1, Batch    834, Loss  1.452718, Average Loss  1.455438, Time  0.447616
2021-09-24 01:44:43.147179 : Epoch  1, Batch    864, Loss  1.451235, Average Loss  1.453506, Time  0.440243
2021-09-24 01:44:44.362814 : Epoch  1, Batch    835, Loss  1.444608, Average Loss  1.455392, Time  0.449949
2021-09-24 01:44:49.223634 : Epoch  1, Batch    865, Loss  1.454592, Average Loss  1.453510, Time  0.438505
2021-09-24 01:44:50.398984 : Epoch  1, Batch    836, Loss  1.450796, Average Loss  1.455402, Time  0.445901
2021-09-24 01:44:55.177404 : Epoch  1, Batch    866, Loss  1.460060, Average Loss  1.453487, Time  0.438997
2021-09-24 01:44:56.432631 : Epoch  1, Batch    837, Loss  1.467141, Average Loss  1.455470, Time  0.446129
2021-09-24 01:45:01.138953 : Epoch  1, Batch    867, Loss  1.450917, Average Loss  1.453484, Time  0.439771
2021-09-24 01:45:02.480012 : Epoch  1, Batch    838, Loss  1.465314, Average Loss  1.455454, Time  0.448609
2021-09-24 01:45:07.094305 : Epoch  1, Batch    868, Loss  1.442950, Average Loss  1.453407, Time  0.439436
2021-09-24 01:45:08.524911 : Epoch  1, Batch    839, Loss  1.463927, Average Loss  1.455504, Time  0.449649
2021-09-24 01:45:13.062790 : Epoch  1, Batch    869, Loss  1.457003, Average Loss  1.453361, Time  0.452325
2021-09-24 01:45:14.581870 : Epoch  1, Batch    840, Loss  1.452564, Average Loss  1.455477, Time  0.460537
2021-09-24 01:45:19.025103 : Epoch  1, Batch    870, Loss  1.452060, Average Loss  1.453307, Time  0.439285
2021-09-24 01:45:20.611773 : Epoch  1, Batch    841, Loss  1.451775, Average Loss  1.455473, Time  0.446491
2021-09-24 01:45:25.020698 : Epoch  1, Batch    871, Loss  1.456943, Average Loss  1.453342, Time  0.441083
2021-09-24 01:45:26.650911 : Epoch  1, Batch    842, Loss  1.463461, Average Loss  1.455459, Time  0.446986
2021-09-24 01:45:30.967754 : Epoch  1, Batch    872, Loss  1.458614, Average Loss  1.453312, Time  0.442886
2021-09-24 01:45:32.696730 : Epoch  1, Batch    843, Loss  1.455533, Average Loss  1.455455, Time  0.450669
2021-09-24 01:45:36.930435 : Epoch  1, Batch    873, Loss  1.457245, Average Loss  1.453323, Time  0.441312
2021-09-24 01:45:38.738600 : Epoch  1, Batch    844, Loss  1.456293, Average Loss  1.455391, Time  0.446820
2021-09-24 01:45:42.879709 : Epoch  1, Batch    874, Loss  1.458648, Average Loss  1.453289, Time  0.440262
2021-09-24 01:45:44.762621 : Epoch  1, Batch    845, Loss  1.443986, Average Loss  1.455335, Time  0.444968
2021-09-24 01:45:48.844281 : Epoch  1, Batch    875, Loss  1.455206, Average Loss  1.453252, Time  0.443860
2021-09-24 01:45:50.789109 : Epoch  1, Batch    846, Loss  1.461770, Average Loss  1.455371, Time  0.446092
2021-09-24 01:45:54.787669 : Epoch  1, Batch    876, Loss  1.458379, Average Loss  1.453242, Time  0.440567
2021-09-24 01:45:56.831512 : Epoch  1, Batch    847, Loss  1.453711, Average Loss  1.455356, Time  0.457561
2021-09-24 01:46:00.763322 : Epoch  1, Batch    877, Loss  1.449415, Average Loss  1.453169, Time  0.449220
2021-09-24 01:46:02.882628 : Epoch  1, Batch    848, Loss  1.469097, Average Loss  1.455364, Time  0.445727
2021-09-24 01:46:06.727510 : Epoch  1, Batch    878, Loss  1.437155, Average Loss  1.453046, Time  0.440416
2021-09-24 01:46:08.916797 : Epoch  1, Batch    849, Loss  1.458800, Average Loss  1.455443, Time  0.447646
2021-09-24 01:46:12.696810 : Epoch  1, Batch    879, Loss  1.451707, Average Loss  1.452996, Time  0.449643
2021-09-24 01:46:14.968804 : Epoch  1, Batch    850, Loss  1.470062, Average Loss  1.455540, Time  0.447763
2021-09-24 01:46:18.660004 : Epoch  1, Batch    880, Loss  1.445950, Average Loss  1.452913, Time  0.441552
2021-09-24 01:46:21.010689 : Epoch  1, Batch    851, Loss  1.451965, Average Loss  1.455571, Time  0.445733
2021-09-24 01:46:24.621780 : Epoch  1, Batch    881, Loss  1.452602, Average Loss  1.452892, Time  0.439216
2021-09-24 01:46:27.055505 : Epoch  1, Batch    852, Loss  1.458365, Average Loss  1.455606, Time  0.445891
2021-09-24 01:46:30.590197 : Epoch  1, Batch    882, Loss  1.466720, Average Loss  1.452970, Time  0.440829
2021-09-24 01:46:33.085578 : Epoch  1, Batch    853, Loss  1.460019, Average Loss  1.455669, Time  0.445402
2021-09-24 01:46:36.556803 : Epoch  1, Batch    883, Loss  1.468411, Average Loss  1.453119, Time  0.442864
2021-09-24 01:46:39.122004 : Epoch  1, Batch    854, Loss  1.458121, Average Loss  1.455638, Time  0.445604
2021-09-24 01:46:42.528153 : Epoch  1, Batch    884, Loss  1.453379, Average Loss  1.453076, Time  0.451021
2021-09-24 01:46:45.170017 : Epoch  1, Batch    855, Loss  1.451838, Average Loss  1.455637, Time  0.461622
2021-09-24 01:46:48.515828 : Epoch  1, Batch    885, Loss  1.452420, Average Loss  1.453001, Time  0.441199
2021-09-24 01:46:51.209332 : Epoch  1, Batch    856, Loss  1.457115, Average Loss  1.455690, Time  0.450141
2021-09-24 01:46:54.477754 : Epoch  1, Batch    886, Loss  1.444223, Average Loss  1.452972, Time  0.439674
2021-09-24 01:46:57.240790 : Epoch  1, Batch    857, Loss  1.449459, Average Loss  1.455678, Time  0.447052
2021-09-24 01:47:00.428660 : Epoch  1, Batch    887, Loss  1.456877, Average Loss  1.452978, Time  0.441471
2021-09-24 01:47:03.276276 : Epoch  1, Batch    858, Loss  1.446009, Average Loss  1.455634, Time  0.448082
2021-09-24 01:47:06.396352 : Epoch  1, Batch    888, Loss  1.463555, Average Loss  1.453084, Time  0.438759
2021-09-24 01:47:09.342136 : Epoch  1, Batch    859, Loss  1.458972, Average Loss  1.455638, Time  0.445938
2021-09-24 01:47:12.366703 : Epoch  1, Batch    889, Loss  1.454954, Average Loss  1.453046, Time  0.441504
2021-09-24 01:47:13.800277 : Epoch  1, Batch    860, Loss  1.449066, Average Loss  1.455578, Time  0.347030
2021-09-24 01:47:18.332031 : Epoch  1, Batch    890, Loss  1.443273, Average Loss  1.452965, Time  0.442958
2021-09-24 01:47:19.823370 : Epoch  1, Batch    861, Loss  1.459635, Average Loss  1.455592, Time  0.445844
2021-09-24 01:47:24.268581 : Epoch  1, Batch    891, Loss  1.448887, Average Loss  1.452950, Time  0.440153
2021-09-24 01:47:25.843471 : Epoch  1, Batch    862, Loss  1.453873, Average Loss  1.455582, Time  0.445560
2021-09-24 01:47:30.228926 : Epoch  1, Batch    892, Loss  1.463245, Average Loss  1.452986, Time  0.455335
2021-09-24 01:47:31.876860 : Epoch  1, Batch    863, Loss  1.461159, Average Loss  1.455599, Time  0.461769
2021-09-24 01:47:36.193140 : Epoch  1, Batch    893, Loss  1.454475, Average Loss  1.453036, Time  0.439353
2021-09-24 01:47:37.907873 : Epoch  1, Batch    864, Loss  1.446592, Average Loss  1.455556, Time  0.445482
2021-09-24 01:47:42.164177 : Epoch  1, Batch    894, Loss  1.455580, Average Loss  1.453024, Time  0.440624
2021-09-24 01:47:43.984833 : Epoch  1, Batch    865, Loss  1.474473, Average Loss  1.455632, Time  0.447356
2021-09-24 01:47:48.134745 : Epoch  1, Batch    895, Loss  1.452262, Average Loss  1.453017, Time  0.438616
2021-09-24 01:47:50.016368 : Epoch  1, Batch    866, Loss  1.459322, Average Loss  1.455647, Time  0.446908
2021-09-24 01:47:54.115840 : Epoch  1, Batch    896, Loss  1.457230, Average Loss  1.453020, Time  0.441003
2021-09-24 01:47:56.048392 : Epoch  1, Batch    867, Loss  1.464231, Average Loss  1.455713, Time  0.445606
2021-09-24 01:48:00.075514 : Epoch  1, Batch    897, Loss  1.451737, Average Loss  1.452975, Time  0.441977
2021-09-24 01:48:02.084336 : Epoch  1, Batch    868, Loss  1.464677, Average Loss  1.455792, Time  0.447197
2021-09-24 01:48:06.027767 : Epoch  1, Batch    898, Loss  1.457650, Average Loss  1.453027, Time  0.440450
2021-09-24 01:48:08.111166 : Epoch  1, Batch    869, Loss  1.444432, Average Loss  1.455711, Time  0.451898
2021-09-24 01:48:11.989654 : Epoch  1, Batch    899, Loss  1.437104, Average Loss  1.452946, Time  0.440238
2021-09-24 01:48:14.163831 : Epoch  1, Batch    870, Loss  1.450333, Average Loss  1.455594, Time  0.461454
2021-09-24 01:48:17.953520 : Epoch  1, Batch    900, Loss  1.452534, Average Loss  1.452952, Time  0.449147
2021-09-24 01:48:20.215971 : Epoch  1, Batch    871, Loss  1.457697, Average Loss  1.455627, Time  0.448277
2021-09-24 01:48:26.272891 : Epoch  1, Batch    872, Loss  1.462496, Average Loss  1.455601, Time  0.449150
2021-09-24 01:48:32.308338 : Epoch  1, Batch    873, Loss  1.443300, Average Loss  1.455533, Time  0.447500
2021-09-24 01:48:38.338547 : Epoch  1, Batch    874, Loss  1.452361, Average Loss  1.455428, Time  0.446988
2021-09-24 01:48:44.368805 : Epoch  1, Batch    875, Loss  1.446078, Average Loss  1.455367, Time  0.446271
2021-09-24 01:48:50.390870 : Epoch  1, Batch    876, Loss  1.455591, Average Loss  1.455361, Time  0.447074
2021-09-24 01:48:56.429505 : Epoch  1, Batch    877, Loss  1.448097, Average Loss  1.455341, Time  0.446591
2021-09-24 01:49:02.466261 : Epoch  1, Batch    878, Loss  1.452511, Average Loss  1.455322, Time  0.461379
2021-09-24 01:49:08.478926 : Epoch  1, Batch    879, Loss  1.451128, Average Loss  1.455255, Time  0.445145
2021-09-24 01:49:14.510890 : Epoch  1, Batch    880, Loss  1.454835, Average Loss  1.455272, Time  0.445652
2021-09-24 01:49:20.539859 : Epoch  1, Batch    881, Loss  1.465650, Average Loss  1.455318, Time  0.447893
2021-09-24 01:49:26.588174 : Epoch  1, Batch    882, Loss  1.454031, Average Loss  1.455306, Time  0.448451
2021-09-24 01:49:32.610472 : Epoch  1, Batch    883, Loss  1.455121, Average Loss  1.455308, Time  0.447340
2021-09-24 01:49:38.643007 : Epoch  1, Batch    884, Loss  1.441200, Average Loss  1.455241, Time  0.448619
2021-09-24 01:49:44.695732 : Epoch  1, Batch    885, Loss  1.457997, Average Loss  1.455246, Time  0.456207
2021-09-24 01:49:50.729325 : Epoch  1, Batch    886, Loss  1.439890, Average Loss  1.455174, Time  0.447215
2021-09-24 01:49:56.769288 : Epoch  1, Batch    887, Loss  1.469538, Average Loss  1.455207, Time  0.447271
2021-09-24 01:50:02.802324 : Epoch  1, Batch    888, Loss  1.460532, Average Loss  1.455201, Time  0.445821
2021-09-24 01:50:08.826989 : Epoch  1, Batch    889, Loss  1.450278, Average Loss  1.455196, Time  0.445789
2021-09-24 01:50:14.869780 : Epoch  1, Batch    890, Loss  1.462435, Average Loss  1.455145, Time  0.445671
2021-09-24 01:50:20.901043 : Epoch  1, Batch    891, Loss  1.459645, Average Loss  1.455138, Time  0.445759
2021-09-24 01:50:26.921460 : Epoch  1, Batch    892, Loss  1.466951, Average Loss  1.455155, Time  0.449114
2021-09-24 01:50:32.963775 : Epoch  1, Batch    893, Loss  1.458576, Average Loss  1.455135, Time  0.455477
2021-09-24 01:50:39.000432 : Epoch  1, Batch    894, Loss  1.458430, Average Loss  1.455106, Time  0.448338
2021-09-24 01:50:45.039805 : Epoch  1, Batch    895, Loss  1.441654, Average Loss  1.455045, Time  0.447006
2021-09-24 01:50:51.074485 : Epoch  1, Batch    896, Loss  1.463241, Average Loss  1.455109, Time  0.446568
2021-09-24 01:50:57.107123 : Epoch  1, Batch    897, Loss  1.440247, Average Loss  1.455008, Time  0.447552
2021-09-24 01:51:03.139158 : Epoch  1, Batch    898, Loss  1.447989, Average Loss  1.454901, Time  0.445583
2021-09-24 01:51:09.180256 : Epoch  1, Batch    899, Loss  1.458206, Average Loss  1.454839, Time  0.445753
2021-09-24 01:51:15.220398 : Epoch  1, Batch    900, Loss  1.451406, Average Loss  1.454812, Time  0.457382
2021-09-24 01:52:59.338775 : CheckPoint: Validation Loss  0.00025160, Best Loss  0.00025101
2021-09-24 01:53:05.302118 : Epoch  1, Batch    901, Loss  1.451589, Average Loss  1.452990, Time  0.441352
2021-09-24 01:53:11.276862 : Epoch  1, Batch    902, Loss  1.453340, Average Loss  1.452947, Time  0.438953
2021-09-24 01:53:17.240599 : Epoch  1, Batch    903, Loss  1.456879, Average Loss  1.453005, Time  0.441213
2021-09-24 01:53:23.198907 : Epoch  1, Batch    904, Loss  1.450956, Average Loss  1.453033, Time  0.441139
2021-09-24 01:53:29.156577 : Epoch  1, Batch    905, Loss  1.446522, Average Loss  1.452959, Time  0.438955
2021-09-24 01:53:35.130223 : Epoch  1, Batch    906, Loss  1.457421, Average Loss  1.452991, Time  0.449924
2021-09-24 01:53:41.082183 : Epoch  1, Batch    907, Loss  1.449696, Average Loss  1.452944, Time  0.440174
2021-09-24 01:53:47.045192 : Epoch  1, Batch    908, Loss  1.458389, Average Loss  1.452970, Time  0.439907
2021-09-24 01:53:53.007501 : Epoch  1, Batch    909, Loss  1.450199, Average Loss  1.452951, Time  0.446772
2021-09-24 01:53:58.975304 : Epoch  1, Batch    910, Loss  1.451983, Average Loss  1.452914, Time  0.441077
2021-09-24 01:54:04.955039 : Epoch  1, Batch    911, Loss  1.440329, Average Loss  1.452851, Time  0.439136
2021-09-24 01:54:10.926038 : Epoch  1, Batch    912, Loss  1.453414, Average Loss  1.452857, Time  0.441695
2021-09-24 01:54:16.891182 : Epoch  1, Batch    913, Loss  1.451353, Average Loss  1.452852, Time  0.439835
2021-09-24 01:54:22.886320 : Epoch  1, Batch    914, Loss  1.443835, Average Loss  1.452839, Time  0.457464
2021-09-24 01:54:28.858067 : Epoch  1, Batch    915, Loss  1.459687, Average Loss  1.452853, Time  0.442175
2021-09-24 01:54:34.818800 : Epoch  1, Batch    916, Loss  1.447122, Average Loss  1.452776, Time  0.441756
2021-09-24 01:54:40.813208 : Epoch  1, Batch    917, Loss  1.453541, Average Loss  1.452774, Time  0.440838
2021-09-24 01:54:46.780858 : Epoch  1, Batch    918, Loss  1.456902, Average Loss  1.452819, Time  0.440165
2021-09-24 01:54:52.790040 : Epoch  1, Batch    919, Loss  1.459778, Average Loss  1.452765, Time  0.447446
2021-09-24 01:54:58.766815 : Epoch  1, Batch    920, Loss  1.451198, Average Loss  1.452749, Time  0.442689
2021-09-24 01:55:04.723978 : Epoch  1, Batch    921, Loss  1.449182, Average Loss  1.452744, Time  0.439492
2021-09-24 01:55:10.703293 : Epoch  1, Batch    922, Loss  1.464149, Average Loss  1.452784, Time  0.452449
2021-09-24 01:55:16.684309 : Epoch  1, Batch    923, Loss  1.457799, Average Loss  1.452801, Time  0.438694
2021-09-24 01:55:22.671542 : Epoch  1, Batch    924, Loss  1.449687, Average Loss  1.452814, Time  0.442782
2021-09-24 01:55:28.648016 : Epoch  1, Batch    925, Loss  1.443843, Average Loss  1.452750, Time  0.439003
2021-09-24 01:55:34.619624 : Epoch  1, Batch    926, Loss  1.449350, Average Loss  1.452758, Time  0.438554
2021-09-24 01:55:40.587814 : Epoch  1, Batch    927, Loss  1.453548, Average Loss  1.452737, Time  0.439003
2021-09-24 01:55:46.561084 : Epoch  1, Batch    928, Loss  1.442168, Average Loss  1.452666, Time  0.442349
2021-09-24 01:55:46.596800 : Saving Model after 1-th Epoch.
2021-09-24 01:55:47.396601 : Epoch Finished.
2021-09-24 01:55:53.955815 : Batch Shuffled
2021-09-24 01:55:59.444570 : CheckPoint: Validation Loss  0.00025287, Best Loss  0.00024635
2021-09-24 01:55:59.950488 : Epoch  2, Batch      1, Loss  1.442729, Average Loss  1.452587, Time  0.456828
2021-09-24 01:56:05.447964 : Epoch  1, Batch    901, Loss  1.449002, Average Loss  1.454774, Time  0.448930
2021-09-24 01:56:05.904560 : Epoch  2, Batch      2, Loss  1.455204, Average Loss  1.452652, Time  0.440343
2021-09-24 01:56:11.435264 : Epoch  1, Batch    902, Loss  1.444069, Average Loss  1.454678, Time  0.449355
2021-09-24 01:56:11.832181 : Epoch  2, Batch      3, Loss  1.448351, Average Loss  1.452567, Time  0.440212
2021-09-24 01:56:17.435010 : Epoch  1, Batch    903, Loss  1.451415, Average Loss  1.454679, Time  0.447682
2021-09-24 01:56:17.763735 : Epoch  2, Batch      4, Loss  1.460045, Average Loss  1.452631, Time  0.438900
2021-09-24 01:56:23.438360 : Epoch  1, Batch    904, Loss  1.460134, Average Loss  1.454733, Time  0.444962
2021-09-24 01:56:23.707829 : Epoch  2, Batch      5, Loss  1.449107, Average Loss  1.452611, Time  0.438861
2021-09-24 01:56:29.440767 : Epoch  1, Batch    905, Loss  1.460493, Average Loss  1.454867, Time  0.445510
2021-09-24 01:56:29.644248 : Epoch  2, Batch      6, Loss  1.444873, Average Loss  1.452502, Time  0.440631
2021-09-24 01:56:35.447512 : Epoch  1, Batch    906, Loss  1.467167, Average Loss  1.454895, Time  0.456447
2021-09-24 01:56:35.607205 : Epoch  2, Batch      7, Loss  1.459931, Average Loss  1.452576, Time  0.449852
2021-09-24 01:56:41.445902 : Epoch  1, Batch    907, Loss  1.459684, Average Loss  1.454900, Time  0.447958
2021-09-24 01:56:41.580061 : Epoch  2, Batch      8, Loss  1.453351, Average Loss  1.452522, Time  0.453690
2021-09-24 01:56:47.458245 : Epoch  1, Batch    908, Loss  1.452375, Average Loss  1.454890, Time  0.448179
2021-09-24 01:56:47.524108 : Epoch  2, Batch      9, Loss  1.455216, Average Loss  1.452501, Time  0.440098
2021-09-24 01:56:53.463863 : Epoch  1, Batch    909, Loss  1.457260, Average Loss  1.454884, Time  0.446527
2021-09-24 01:56:53.501850 : Epoch  2, Batch     10, Loss  1.447989, Average Loss  1.452509, Time  0.439269
2021-09-24 01:56:59.451394 : Epoch  1, Batch    910, Loss  1.447442, Average Loss  1.454869, Time  0.445389
2021-09-24 01:56:59.488775 : Epoch  2, Batch     11, Loss  1.445860, Average Loss  1.452501, Time  0.443002
2021-09-24 01:57:05.451847 : Epoch  2, Batch     12, Loss  1.445392, Average Loss  1.452422, Time  0.440156
2021-09-24 01:57:05.500844 : Epoch  1, Batch    911, Loss  1.449983, Average Loss  1.454821, Time  0.449579
2021-09-24 01:57:11.418811 : Epoch  2, Batch     13, Loss  1.459834, Average Loss  1.452390, Time  0.442902
2021-09-24 01:57:11.501287 : Epoch  1, Batch    912, Loss  1.446774, Average Loss  1.454776, Time  0.445952
2021-09-24 01:57:17.379487 : Epoch  2, Batch     14, Loss  1.471768, Average Loss  1.452474, Time  0.440735
2021-09-24 01:57:17.499054 : Epoch  1, Batch    913, Loss  1.460862, Average Loss  1.454810, Time  0.446809
2021-09-24 01:57:23.374871 : Epoch  2, Batch     15, Loss  1.448535, Average Loss  1.452440, Time  0.457769
2021-09-24 01:57:23.498359 : Epoch  1, Batch    914, Loss  1.453385, Average Loss  1.454715, Time  0.464677
2021-09-24 01:57:29.340450 : Epoch  2, Batch     16, Loss  1.443712, Average Loss  1.452408, Time  0.444869
2021-09-24 01:57:29.479079 : Epoch  1, Batch    915, Loss  1.442374, Average Loss  1.454673, Time  0.446630
2021-09-24 01:57:35.299511 : Epoch  2, Batch     17, Loss  1.450349, Average Loss  1.452411, Time  0.441113
2021-09-24 01:57:35.462777 : Epoch  1, Batch    916, Loss  1.455829, Average Loss  1.454685, Time  0.450471
2021-09-24 01:57:41.278611 : Epoch  2, Batch     18, Loss  1.444415, Average Loss  1.452392, Time  0.441474
2021-09-24 01:57:41.447331 : Epoch  1, Batch    917, Loss  1.457944, Average Loss  1.454751, Time  0.447763
2021-09-24 01:57:47.262598 : Epoch  2, Batch     19, Loss  1.463654, Average Loss  1.452463, Time  0.439684
2021-09-24 01:57:47.419142 : Epoch  1, Batch    918, Loss  1.454430, Average Loss  1.454783, Time  0.445363
2021-09-24 01:57:53.250154 : Epoch  2, Batch     20, Loss  1.463289, Average Loss  1.452479, Time  0.442667
2021-09-24 01:57:53.397156 : Epoch  1, Batch    919, Loss  1.459780, Average Loss  1.454794, Time  0.451660
2021-09-24 01:57:59.218476 : Epoch  2, Batch     21, Loss  1.441246, Average Loss  1.452400, Time  0.439017
2021-09-24 01:57:59.386017 : Epoch  1, Batch    920, Loss  1.453383, Average Loss  1.454767, Time  0.445545
2021-09-24 01:58:05.202334 : Epoch  2, Batch     22, Loss  1.464242, Average Loss  1.452442, Time  0.439602
2021-09-24 01:58:05.372944 : Epoch  1, Batch    921, Loss  1.450097, Average Loss  1.454701, Time  0.455525
2021-09-24 01:58:11.209471 : Epoch  2, Batch     23, Loss  1.449839, Average Loss  1.452445, Time  0.459336
2021-09-24 01:58:11.372008 : Epoch  1, Batch    922, Loss  1.460657, Average Loss  1.454671, Time  0.457100
2021-09-24 01:58:17.189118 : Epoch  2, Batch     24, Loss  1.460950, Average Loss  1.452517, Time  0.440899
2021-09-24 01:58:17.354990 : Epoch  1, Batch    923, Loss  1.451703, Average Loss  1.454667, Time  0.447224
2021-09-24 01:58:23.156517 : Epoch  2, Batch     25, Loss  1.440280, Average Loss  1.452494, Time  0.438965
2021-09-24 01:58:23.331163 : Epoch  1, Batch    924, Loss  1.463272, Average Loss  1.454690, Time  0.447176
2021-09-24 01:58:29.133466 : Epoch  2, Batch     26, Loss  1.444583, Average Loss  1.452450, Time  0.439005
2021-09-24 01:58:29.318994 : Epoch  1, Batch    925, Loss  1.460049, Average Loss  1.454777, Time  0.446089
2021-09-24 01:58:35.106939 : Epoch  2, Batch     27, Loss  1.450410, Average Loss  1.452448, Time  0.439562
2021-09-24 01:58:35.289777 : Epoch  1, Batch    926, Loss  1.453835, Average Loss  1.454794, Time  0.445956
2021-09-24 01:58:41.078710 : Epoch  2, Batch     28, Loss  1.463503, Average Loss  1.452513, Time  0.439202
2021-09-24 01:58:41.267654 : Epoch  1, Batch    927, Loss  1.447446, Average Loss  1.454708, Time  0.446405
2021-09-24 01:58:47.084079 : Epoch  2, Batch     29, Loss  1.449835, Average Loss  1.452527, Time  0.440934
2021-09-24 01:58:47.250254 : Epoch  1, Batch    928, Loss  1.447124, Average Loss  1.454635, Time  0.451623
2021-09-24 01:58:47.276119 : Saving Model after 1-th Epoch.
2021-09-24 01:58:48.122147 : Epoch Finished.
2021-09-24 01:58:53.116215 : Epoch  2, Batch     30, Loss  1.451030, Average Loss  1.452453, Time  0.454360
2021-09-24 01:58:55.977549 : Batch Shuffled
2021-09-24 01:58:59.097820 : Epoch  2, Batch     31, Loss  1.466212, Average Loss  1.452600, Time  0.440261
2021-09-24 01:59:01.967947 : Epoch  2, Batch      1, Loss  1.450866, Average Loss  1.454604, Time  0.460179
2021-09-24 01:59:05.050296 : Epoch  2, Batch     32, Loss  1.455037, Average Loss  1.452625, Time  0.439228
2021-09-24 01:59:07.986107 : Epoch  2, Batch      2, Loss  1.429253, Average Loss  1.454436, Time  0.450836
2021-09-24 01:59:11.020235 : Epoch  2, Batch     33, Loss  1.453121, Average Loss  1.452611, Time  0.440648
2021-09-24 01:59:14.003455 : Epoch  2, Batch      3, Loss  1.457516, Average Loss  1.454496, Time  0.447029
2021-09-24 01:59:16.980798 : Epoch  2, Batch     34, Loss  1.450111, Average Loss  1.452594, Time  0.440187
2021-09-24 01:59:20.034413 : Epoch  2, Batch      4, Loss  1.449073, Average Loss  1.454478, Time  0.447827
2021-09-24 01:59:22.944836 : Epoch  2, Batch     35, Loss  1.464252, Average Loss  1.452610, Time  0.444864
2021-09-24 01:59:26.016673 : Epoch  2, Batch      5, Loss  1.457540, Average Loss  1.454449, Time  0.446888
2021-09-24 01:59:28.902103 : Epoch  2, Batch     36, Loss  1.456198, Average Loss  1.452660, Time  0.439232
2021-09-24 01:59:32.024526 : Epoch  2, Batch      6, Loss  1.447631, Average Loss  1.454469, Time  0.446304
2021-09-24 01:59:34.871615 : Epoch  2, Batch     37, Loss  1.445398, Average Loss  1.452594, Time  0.438922
2021-09-24 01:59:38.044782 : Epoch  2, Batch      7, Loss  1.447541, Average Loss  1.454438, Time  0.445414
2021-09-24 01:59:40.849351 : Epoch  2, Batch     38, Loss  1.457814, Average Loss  1.452581, Time  0.448790
2021-09-24 01:59:44.082670 : Epoch  2, Batch      8, Loss  1.443610, Average Loss  1.454363, Time  0.457762
2021-09-24 01:59:46.833918 : Epoch  2, Batch     39, Loss  1.439530, Average Loss  1.452497, Time  0.442486
2021-09-24 01:59:50.090642 : Epoch  2, Batch      9, Loss  1.450478, Average Loss  1.454339, Time  0.445923
2021-09-24 01:59:52.821078 : Epoch  2, Batch     40, Loss  1.453710, Average Loss  1.452497, Time  0.443691
2021-09-24 01:59:56.106279 : Epoch  2, Batch     10, Loss  1.458895, Average Loss  1.454366, Time  0.450152
2021-09-24 01:59:58.805180 : Epoch  2, Batch     41, Loss  1.455436, Average Loss  1.452557, Time  0.440231
2021-09-24 02:00:02.117136 : Epoch  2, Batch     11, Loss  1.448710, Average Loss  1.454353, Time  0.445646
2021-09-24 02:00:04.777703 : Epoch  2, Batch     42, Loss  1.447687, Average Loss  1.452468, Time  0.440114
2021-09-24 02:00:08.132547 : Epoch  2, Batch     12, Loss  1.459218, Average Loss  1.454332, Time  0.444463
2021-09-24 02:00:10.738866 : Epoch  2, Batch     43, Loss  1.455004, Average Loss  1.452527, Time  0.440809
2021-09-24 02:00:14.130668 : Epoch  2, Batch     13, Loss  1.453354, Average Loss  1.454326, Time  0.445325
2021-09-24 02:00:16.691185 : Epoch  2, Batch     44, Loss  1.451065, Average Loss  1.452483, Time  0.439723
2021-09-24 02:00:20.161163 : Epoch  2, Batch     14, Loss  1.465080, Average Loss  1.454363, Time  0.448219
2021-09-24 02:00:22.667508 : Epoch  2, Batch     45, Loss  1.445917, Average Loss  1.452389, Time  0.438653
2021-09-24 02:00:26.178866 : Epoch  2, Batch     15, Loss  1.440681, Average Loss  1.454384, Time  0.461426
2021-09-24 02:00:28.630002 : Epoch  2, Batch     46, Loss  1.441907, Average Loss  1.452295, Time  0.448878
2021-09-24 02:00:32.190772 : Epoch  2, Batch     16, Loss  1.464934, Average Loss  1.454458, Time  0.445792
2021-09-24 02:00:34.598456 : Epoch  2, Batch     47, Loss  1.452301, Average Loss  1.452224, Time  0.439139
2021-09-24 02:00:38.200916 : Epoch  2, Batch     17, Loss  1.450096, Average Loss  1.454430, Time  0.447311
2021-09-24 02:00:40.573219 : Epoch  2, Batch     48, Loss  1.458256, Average Loss  1.452253, Time  0.442345
2021-09-24 02:00:44.214686 : Epoch  2, Batch     18, Loss  1.453264, Average Loss  1.454428, Time  0.447288
2021-09-24 02:00:46.541688 : Epoch  2, Batch     49, Loss  1.448392, Average Loss  1.452240, Time  0.442729
2021-09-24 02:00:50.213711 : Epoch  2, Batch     19, Loss  1.453210, Average Loss  1.454403, Time  0.445055
2021-09-24 02:00:52.495643 : Epoch  2, Batch     50, Loss  1.452436, Average Loss  1.452233, Time  0.439342
2021-09-24 02:00:56.212060 : Epoch  2, Batch     20, Loss  1.456732, Average Loss  1.454434, Time  0.445950
2021-09-24 02:00:58.462743 : Epoch  2, Batch     51, Loss  1.460483, Average Loss  1.452262, Time  0.441788
2021-09-24 02:01:02.220814 : Epoch  2, Batch     21, Loss  1.455094, Average Loss  1.454431, Time  0.446500
2021-09-24 02:01:04.443618 : Epoch  2, Batch     52, Loss  1.450695, Average Loss  1.452189, Time  0.439416
2021-09-24 02:01:08.225626 : Epoch  2, Batch     22, Loss  1.458533, Average Loss  1.454461, Time  0.446299
2021-09-24 02:01:10.443476 : Epoch  2, Batch     53, Loss  1.452156, Average Loss  1.452224, Time  0.456149
2021-09-24 02:01:14.262561 : Epoch  2, Batch     23, Loss  1.451599, Average Loss  1.454465, Time  0.464108
2021-09-24 02:01:16.408809 : Epoch  2, Batch     54, Loss  1.438237, Average Loss  1.452155, Time  0.441222
2021-09-24 02:01:20.284858 : Epoch  2, Batch     24, Loss  1.458950, Average Loss  1.454534, Time  0.448396
2021-09-24 02:01:22.372450 : Epoch  2, Batch     55, Loss  1.451550, Average Loss  1.452234, Time  0.438876
2021-09-24 02:01:26.281310 : Epoch  2, Batch     25, Loss  1.467254, Average Loss  1.454610, Time  0.446201
2021-09-24 02:01:28.333810 : Epoch  2, Batch     56, Loss  1.438009, Average Loss  1.452168, Time  0.439819
2021-09-24 02:01:32.291674 : Epoch  2, Batch     26, Loss  1.461569, Average Loss  1.454694, Time  0.446421
2021-09-24 02:01:34.279819 : Epoch  2, Batch     57, Loss  1.448062, Average Loss  1.452196, Time  0.439331
2021-09-24 02:01:38.318287 : Epoch  2, Batch     27, Loss  1.449662, Average Loss  1.454667, Time  0.453180
2021-09-24 02:01:40.236231 : Epoch  2, Batch     58, Loss  1.455188, Average Loss  1.452142, Time  0.440149
2021-09-24 02:01:44.333459 : Epoch  2, Batch     28, Loss  1.449279, Average Loss  1.454633, Time  0.446455
2021-09-24 02:01:46.221427 : Epoch  2, Batch     59, Loss  1.449764, Average Loss  1.452195, Time  0.441079
2021-09-24 02:01:50.340138 : Epoch  2, Batch     29, Loss  1.451940, Average Loss  1.454608, Time  0.444260
2021-09-24 02:01:52.184840 : Epoch  2, Batch     60, Loss  1.443478, Average Loss  1.452162, Time  0.442476
2021-09-24 02:01:56.378581 : Epoch  2, Batch     30, Loss  1.454455, Average Loss  1.454651, Time  0.461985
2021-09-24 02:01:58.157058 : Epoch  2, Batch     61, Loss  1.449970, Average Loss  1.452154, Time  0.450222
2021-09-24 02:02:02.403645 : Epoch  2, Batch     31, Loss  1.451390, Average Loss  1.454621, Time  0.445217
2021-09-24 02:02:04.135890 : Epoch  2, Batch     62, Loss  1.457030, Average Loss  1.452255, Time  0.439469
2021-09-24 02:02:08.413116 : Epoch  2, Batch     32, Loss  1.454860, Average Loss  1.454605, Time  0.445021
2021-09-24 02:02:10.075211 : Epoch  2, Batch     63, Loss  1.451974, Average Loss  1.452258, Time  0.438370
2021-09-24 02:02:14.432700 : Epoch  2, Batch     33, Loss  1.453348, Average Loss  1.454597, Time  0.445035
2021-09-24 02:02:16.024189 : Epoch  2, Batch     64, Loss  1.464263, Average Loss  1.452261, Time  0.439369
2021-09-24 02:02:20.447793 : Epoch  2, Batch     34, Loss  1.460433, Average Loss  1.454593, Time  0.447414
2021-09-24 02:02:21.998494 : Epoch  2, Batch     65, Loss  1.448981, Average Loss  1.452274, Time  0.439143
2021-09-24 02:02:26.454983 : Epoch  2, Batch     35, Loss  1.443273, Average Loss  1.454512, Time  0.447255
2021-09-24 02:02:27.961065 : Epoch  2, Batch     66, Loss  1.463461, Average Loss  1.452352, Time  0.442309
2021-09-24 02:02:32.465504 : Epoch  2, Batch     36, Loss  1.463550, Average Loss  1.454581, Time  0.447440
2021-09-24 02:02:33.933918 : Epoch  2, Batch     67, Loss  1.458706, Average Loss  1.452355, Time  0.444622
2021-09-24 02:02:38.482324 : Epoch  2, Batch     37, Loss  1.451706, Average Loss  1.454584, Time  0.447892
2021-09-24 02:02:39.897879 : Epoch  2, Batch     68, Loss  1.449444, Average Loss  1.452367, Time  0.439873
2021-09-24 02:02:44.507939 : Epoch  2, Batch     38, Loss  1.449321, Average Loss  1.454504, Time  0.464774
2021-09-24 02:02:45.883385 : Epoch  2, Batch     69, Loss  1.451481, Average Loss  1.452387, Time  0.454757
2021-09-24 02:02:50.510618 : Epoch  2, Batch     39, Loss  1.452447, Average Loss  1.454464, Time  0.445503
2021-09-24 02:02:51.850818 : Epoch  2, Batch     70, Loss  1.455491, Average Loss  1.452372, Time  0.441840
2021-09-24 02:02:56.524747 : Epoch  2, Batch     40, Loss  1.445103, Average Loss  1.454491, Time  0.448646
2021-09-24 02:02:57.820039 : Epoch  2, Batch     71, Loss  1.459006, Average Loss  1.452420, Time  0.439729
2021-09-24 02:03:02.536476 : Epoch  2, Batch     41, Loss  1.435334, Average Loss  1.454376, Time  0.449636
2021-09-24 02:03:08.578641 : Epoch  2, Batch     42, Loss  1.458557, Average Loss  1.454410, Time  0.446420
2021-09-24 02:03:10.041381 : Epoch  2, Batch     72, Loss  1.439865, Average Loss  1.452349, Time  0.440121
2021-09-24 02:03:14.611496 : Epoch  2, Batch     43, Loss  1.443376, Average Loss  1.454384, Time  0.446432
2021-09-24 02:03:20.642495 : Epoch  2, Batch     44, Loss  1.444604, Average Loss  1.454289, Time  0.450115
2021-09-24 02:03:26.660152 : Epoch  2, Batch     45, Loss  1.449888, Average Loss  1.454239, Time  0.460562
2021-09-24 02:03:32.665395 : Epoch  2, Batch     46, Loss  1.447231, Average Loss  1.454178, Time  0.445861
2021-09-24 02:03:38.681826 : Epoch  2, Batch     47, Loss  1.454301, Average Loss  1.454200, Time  0.445097
2021-09-24 02:03:44.699420 : Epoch  2, Batch     48, Loss  1.460337, Average Loss  1.454242, Time  0.445201
2021-09-24 02:03:50.707310 : Epoch  2, Batch     49, Loss  1.449118, Average Loss  1.454221, Time  0.447691
2021-09-24 02:03:56.760269 : Epoch  2, Batch     50, Loss  1.454544, Average Loss  1.454186, Time  0.452100
2021-09-24 02:04:02.804679 : Epoch  2, Batch     51, Loss  1.461371, Average Loss  1.454193, Time  0.448924
2021-09-24 02:04:08.837997 : Epoch  2, Batch     52, Loss  1.452273, Average Loss  1.454216, Time  0.447997
2021-09-24 02:04:14.881610 : Epoch  2, Batch     53, Loss  1.454753, Average Loss  1.454209, Time  0.456200
2021-09-24 02:04:20.912050 : Epoch  2, Batch     54, Loss  1.445181, Average Loss  1.454156, Time  0.449914
2021-09-24 02:04:26.957622 : Epoch  2, Batch     55, Loss  1.457098, Average Loss  1.454194, Time  0.450360
2021-09-24 02:04:32.977342 : Epoch  2, Batch     56, Loss  1.457238, Average Loss  1.454221, Time  0.446379
2021-09-24 02:04:39.001738 : Epoch  2, Batch     57, Loss  1.449518, Average Loss  1.454219, Time  0.449485
2021-09-24 02:04:45.009795 : Epoch  2, Batch     58, Loss  1.460382, Average Loss  1.454192, Time  0.445707
2021-09-24 02:04:51.029251 : Epoch  2, Batch     59, Loss  1.455281, Average Loss  1.454148, Time  0.445719
2021-09-24 02:04:57.065143 : Epoch  2, Batch     60, Loss  1.441839, Average Loss  1.454113, Time  0.462048
2021-09-24 02:05:03.085920 : Epoch  2, Batch     61, Loss  1.445955, Average Loss  1.454080, Time  0.446646
2021-09-24 02:05:09.104347 : Epoch  2, Batch     62, Loss  1.449530, Average Loss  1.454015, Time  0.445353
2021-09-24 02:05:15.123251 : Epoch  2, Batch     63, Loss  1.446955, Average Loss  1.454002, Time  0.451024
2021-09-24 02:05:21.141630 : Epoch  2, Batch     64, Loss  1.468022, Average Loss  1.454082, Time  0.448015
2021-09-24 02:05:27.175112 : Epoch  2, Batch     65, Loss  1.453032, Average Loss  1.454051, Time  0.445223
2021-09-24 02:05:33.312932 : Epoch  2, Batch     66, Loss  1.455913, Average Loss  1.454037, Time  0.448008
2021-09-24 02:05:39.328730 : Epoch  2, Batch     67, Loss  1.452839, Average Loss  1.454003, Time  0.447274
2021-09-24 02:05:45.353859 : Epoch  2, Batch     68, Loss  1.451592, Average Loss  1.453985, Time  0.465490
2021-09-24 02:05:51.379764 : Epoch  2, Batch     69, Loss  1.457384, Average Loss  1.454099, Time  0.446995
2021-09-24 02:05:57.402777 : Epoch  2, Batch     70, Loss  1.459379, Average Loss  1.454151, Time  0.449341
2021-09-24 02:06:03.416840 : Epoch  2, Batch     71, Loss  1.453519, Average Loss  1.454142, Time  0.447332
2021-09-24 02:06:17.412433 : Epoch  2, Batch     72, Loss  1.453262, Average Loss  1.454096, Time  0.447117
2021-09-24 02:07:49.111070 : CheckPoint: Validation Loss  0.00025874, Best Loss  0.00025101
2021-09-24 02:07:55.074983 : Epoch  2, Batch     73, Loss  1.469239, Average Loss  1.452439, Time  0.442122
2021-09-24 02:08:01.027885 : Epoch  2, Batch     74, Loss  1.462222, Average Loss  1.452485, Time  0.439058
2021-09-24 02:08:06.994661 : Epoch  2, Batch     75, Loss  1.454422, Average Loss  1.452465, Time  0.457514
2021-09-24 02:08:12.952419 : Epoch  2, Batch     76, Loss  1.452272, Average Loss  1.452457, Time  0.439914
2021-09-24 02:08:18.892254 : Epoch  2, Batch     77, Loss  1.442801, Average Loss  1.452403, Time  0.439432
2021-09-24 02:08:24.851907 : Epoch  2, Batch     78, Loss  1.453060, Average Loss  1.452475, Time  0.439630
2021-09-24 02:08:30.824661 : Epoch  2, Batch     79, Loss  1.444643, Average Loss  1.452384, Time  0.440010
2021-09-24 02:08:36.791273 : Epoch  2, Batch     80, Loss  1.450814, Average Loss  1.452408, Time  0.440261
2021-09-24 02:08:42.744395 : Epoch  2, Batch     81, Loss  1.462972, Average Loss  1.452543, Time  0.440059
2021-09-24 02:08:48.686555 : Epoch  2, Batch     82, Loss  1.448789, Average Loss  1.452514, Time  0.440706
2021-09-24 02:08:54.661985 : Epoch  2, Batch     83, Loss  1.453693, Average Loss  1.452463, Time  0.452705
2021-09-24 02:09:00.597902 : Epoch  2, Batch     84, Loss  1.443621, Average Loss  1.452503, Time  0.439094
2021-09-24 02:09:06.561082 : Epoch  2, Batch     85, Loss  1.454945, Average Loss  1.452531, Time  0.438937
2021-09-24 02:09:12.516505 : Epoch  2, Batch     86, Loss  1.440845, Average Loss  1.452433, Time  0.440482
2021-09-24 02:09:18.473390 : Epoch  2, Batch     87, Loss  1.457911, Average Loss  1.452490, Time  0.439188
2021-09-24 02:09:24.412887 : Epoch  2, Batch     88, Loss  1.448134, Average Loss  1.452473, Time  0.442243
2021-09-24 02:09:30.389661 : Epoch  2, Batch     89, Loss  1.459757, Average Loss  1.452532, Time  0.442325
2021-09-24 02:09:36.357875 : Epoch  2, Batch     90, Loss  1.443482, Average Loss  1.452539, Time  0.454488
2021-09-24 02:09:42.306284 : Epoch  2, Batch     91, Loss  1.447661, Average Loss  1.452556, Time  0.444789
2021-09-24 02:09:48.258752 : Epoch  2, Batch     92, Loss  1.451750, Average Loss  1.452580, Time  0.440368
2021-09-24 02:09:54.221994 : Epoch  2, Batch     93, Loss  1.455103, Average Loss  1.452571, Time  0.441011
2021-09-24 02:10:00.187040 : Epoch  2, Batch     94, Loss  1.454100, Average Loss  1.452648, Time  0.438777
2021-09-24 02:10:06.134765 : Epoch  2, Batch     95, Loss  1.465140, Average Loss  1.452696, Time  0.440057
2021-09-24 02:10:12.105564 : Epoch  2, Batch     96, Loss  1.459529, Average Loss  1.452669, Time  0.439933
2021-09-24 02:10:18.061629 : Epoch  2, Batch     97, Loss  1.457250, Average Loss  1.452717, Time  0.440449
2021-09-24 02:10:24.016244 : Epoch  2, Batch     98, Loss  1.463007, Average Loss  1.452722, Time  0.452958
2021-09-24 02:10:29.968286 : Epoch  2, Batch     99, Loss  1.443810, Average Loss  1.452689, Time  0.440307
2021-09-24 02:10:35.931456 : Epoch  2, Batch    100, Loss  1.450350, Average Loss  1.452699, Time  0.440517
2021-09-24 02:10:41.892403 : Epoch  2, Batch    101, Loss  1.455009, Average Loss  1.452678, Time  0.439261
2021-09-24 02:10:47.852834 : Epoch  2, Batch    102, Loss  1.451635, Average Loss  1.452686, Time  0.439940
2021-09-24 02:10:53.795799 : Epoch  2, Batch    103, Loss  1.439297, Average Loss  1.452644, Time  0.440056
2021-09-24 02:10:59.597823 : CheckPoint: Validation Loss  0.00025358, Best Loss  0.00024635
2021-09-24 02:10:59.754399 : Epoch  2, Batch    104, Loss  1.462696, Average Loss  1.452725, Time  0.439496
2021-09-24 02:11:05.591073 : Epoch  2, Batch     73, Loss  1.449540, Average Loss  1.454050, Time  0.461229
2021-09-24 02:11:05.666628 : Epoch  2, Batch    105, Loss  1.446900, Average Loss  1.452658, Time  0.440153
2021-09-24 02:11:11.608311 : Epoch  2, Batch     74, Loss  1.448660, Average Loss  1.454096, Time  0.445116
2021-09-24 02:11:11.648979 : Epoch  2, Batch    106, Loss  1.447054, Average Loss  1.452620, Time  0.451684
2021-09-24 02:11:17.568962 : Epoch  2, Batch    107, Loss  1.460134, Average Loss  1.452639, Time  0.439061
2021-09-24 02:11:17.646103 : Epoch  2, Batch     75, Loss  1.447872, Average Loss  1.454062, Time  0.446658
2021-09-24 02:11:23.512785 : Epoch  2, Batch    108, Loss  1.446953, Average Loss  1.452644, Time  0.439349
2021-09-24 02:11:23.636650 : Epoch  2, Batch     76, Loss  1.453695, Average Loss  1.454053, Time  0.446612
2021-09-24 02:11:29.456429 : Epoch  2, Batch    109, Loss  1.454454, Average Loss  1.452666, Time  0.439899
2021-09-24 02:11:29.626908 : Epoch  2, Batch     77, Loss  1.438141, Average Loss  1.453988, Time  0.445645
2021-09-24 02:11:35.428408 : Epoch  2, Batch    110, Loss  1.448200, Average Loss  1.452663, Time  0.440438
2021-09-24 02:11:35.628967 : Epoch  2, Batch     78, Loss  1.456483, Average Loss  1.454045, Time  0.446958
2021-09-24 02:11:41.372541 : Epoch  2, Batch    111, Loss  1.452647, Average Loss  1.452684, Time  0.439490
2021-09-24 02:11:41.634850 : Epoch  2, Batch     79, Loss  1.454092, Average Loss  1.454059, Time  0.446588
2021-09-24 02:11:47.324601 : Epoch  2, Batch    112, Loss  1.443767, Average Loss  1.452640, Time  0.441726
2021-09-24 02:11:47.649134 : Epoch  2, Batch     80, Loss  1.459397, Average Loss  1.454086, Time  0.445551
2021-09-24 02:11:53.306750 : Epoch  2, Batch    113, Loss  1.457549, Average Loss  1.452578, Time  0.447386
2021-09-24 02:11:53.669874 : Epoch  2, Batch     81, Loss  1.434924, Average Loss  1.453965, Time  0.463900
2021-09-24 02:11:59.258602 : Epoch  2, Batch    114, Loss  1.448866, Average Loss  1.452562, Time  0.439088
2021-09-24 02:11:59.667844 : Epoch  2, Batch     82, Loss  1.449392, Average Loss  1.453967, Time  0.445233
2021-09-24 02:12:05.188832 : Epoch  2, Batch    115, Loss  1.445194, Average Loss  1.452545, Time  0.439370
2021-09-24 02:12:05.677851 : Epoch  2, Batch     83, Loss  1.441919, Average Loss  1.453910, Time  0.447458
2021-09-24 02:12:11.150493 : Epoch  2, Batch    116, Loss  1.456323, Average Loss  1.452564, Time  0.439498
2021-09-24 02:12:11.692987 : Epoch  2, Batch     84, Loss  1.467297, Average Loss  1.453946, Time  0.446130
2021-09-24 02:12:17.116694 : Epoch  2, Batch    117, Loss  1.450956, Average Loss  1.452655, Time  0.445586
2021-09-24 02:12:17.711547 : Epoch  2, Batch     85, Loss  1.451718, Average Loss  1.453890, Time  0.444802
2021-09-24 02:12:23.069165 : Epoch  2, Batch    118, Loss  1.444081, Average Loss  1.452633, Time  0.442108
2021-09-24 02:12:23.737829 : Epoch  2, Batch     86, Loss  1.449848, Average Loss  1.453919, Time  0.449254
2021-09-24 02:12:29.012847 : Epoch  2, Batch    119, Loss  1.456790, Average Loss  1.452687, Time  0.438456
2021-09-24 02:12:29.755065 : Epoch  2, Batch     87, Loss  1.456340, Average Loss  1.453875, Time  0.446320
2021-09-24 02:12:35.013494 : Epoch  2, Batch    120, Loss  1.454136, Average Loss  1.452685, Time  0.442974
2021-09-24 02:12:35.796018 : Epoch  2, Batch     88, Loss  1.443646, Average Loss  1.453812, Time  0.461709
2021-09-24 02:12:40.975862 : Epoch  2, Batch    121, Loss  1.456067, Average Loss  1.452730, Time  0.456389
2021-09-24 02:12:41.806764 : Epoch  2, Batch     89, Loss  1.452392, Average Loss  1.453823, Time  0.446044
2021-09-24 02:12:46.911469 : Epoch  2, Batch    122, Loss  1.443537, Average Loss  1.452604, Time  0.438998
2021-09-24 02:12:47.819723 : Epoch  2, Batch     90, Loss  1.450621, Average Loss  1.453815, Time  0.445290
2021-09-24 02:12:52.873816 : Epoch  2, Batch    123, Loss  1.453236, Average Loss  1.452630, Time  0.439311
2021-09-24 02:12:53.819004 : Epoch  2, Batch     91, Loss  1.458357, Average Loss  1.453848, Time  0.445132
2021-09-24 02:12:58.825278 : Epoch  2, Batch    124, Loss  1.450336, Average Loss  1.452620, Time  0.441957
2021-09-24 02:12:59.817145 : Epoch  2, Batch     92, Loss  1.462499, Average Loss  1.453881, Time  0.445326
2021-09-24 02:13:04.781216 : Epoch  2, Batch    125, Loss  1.451155, Average Loss  1.452559, Time  0.439671
2021-09-24 02:13:05.830600 : Epoch  2, Batch     93, Loss  1.465148, Average Loss  1.453906, Time  0.448607
2021-09-24 02:13:10.737795 : Epoch  2, Batch    126, Loss  1.436916, Average Loss  1.452436, Time  0.438582
2021-09-24 02:13:11.856172 : Epoch  2, Batch     94, Loss  1.449079, Average Loss  1.453912, Time  0.449585
2021-09-24 02:13:16.703932 : Epoch  2, Batch    127, Loss  1.446786, Average Loss  1.452487, Time  0.438802
2021-09-24 02:13:17.876503 : Epoch  2, Batch     95, Loss  1.450876, Average Loss  1.453864, Time  0.445256
2021-09-24 02:13:22.659577 : Epoch  2, Batch    128, Loss  1.456024, Average Loss  1.452470, Time  0.440856
2021-09-24 02:13:23.904535 : Epoch  2, Batch     96, Loss  1.449299, Average Loss  1.453930, Time  0.462633
2021-09-24 02:13:28.612395 : Epoch  2, Batch    129, Loss  1.449106, Average Loss  1.452397, Time  0.453969
2021-09-24 02:13:29.913921 : Epoch  2, Batch     97, Loss  1.449140, Average Loss  1.453959, Time  0.448030
2021-09-24 02:13:34.579030 : Epoch  2, Batch    130, Loss  1.454892, Average Loss  1.452391, Time  0.440232
2021-09-24 02:13:35.936877 : Epoch  2, Batch     98, Loss  1.442364, Average Loss  1.453848, Time  0.446834
2021-09-24 02:13:40.530815 : Epoch  2, Batch    131, Loss  1.442879, Average Loss  1.452334, Time  0.440726
2021-09-24 02:13:41.970819 : Epoch  2, Batch     99, Loss  1.454214, Average Loss  1.453845, Time  0.445764
2021-09-24 02:13:46.455850 : Epoch  2, Batch    132, Loss  1.447782, Average Loss  1.452291, Time  0.439275
2021-09-24 02:13:47.981762 : Epoch  2, Batch    100, Loss  1.450908, Average Loss  1.453773, Time  0.444766
2021-09-24 02:13:52.414128 : Epoch  2, Batch    133, Loss  1.439597, Average Loss  1.452183, Time  0.442858
2021-09-24 02:13:53.984589 : Epoch  2, Batch    101, Loss  1.454016, Average Loss  1.453807, Time  0.444893
2021-09-24 02:13:58.350711 : Epoch  2, Batch    134, Loss  1.441046, Average Loss  1.452142, Time  0.438790
2021-09-24 02:13:59.975548 : Epoch  2, Batch    102, Loss  1.447289, Average Loss  1.453705, Time  0.444260
2021-09-24 02:14:04.306549 : Epoch  2, Batch    135, Loss  1.442253, Average Loss  1.452106, Time  0.439010
2021-09-24 02:14:06.013821 : Epoch  2, Batch    103, Loss  1.453325, Average Loss  1.453689, Time  0.460769
2021-09-24 02:14:10.286816 : Epoch  2, Batch    136, Loss  1.454572, Average Loss  1.452123, Time  0.453401
2021-09-24 02:14:12.004724 : Epoch  2, Batch    104, Loss  1.445524, Average Loss  1.453678, Time  0.447329
2021-09-24 02:14:16.236274 : Epoch  2, Batch    137, Loss  1.453746, Average Loss  1.452119, Time  0.439396
2021-09-24 02:14:18.030422 : Epoch  2, Batch    105, Loss  1.446163, Average Loss  1.453658, Time  0.444412
2021-09-24 02:14:22.191396 : Epoch  2, Batch    138, Loss  1.448685, Average Loss  1.452062, Time  0.443795
2021-09-24 02:14:24.052350 : Epoch  2, Batch    106, Loss  1.459332, Average Loss  1.453691, Time  0.447651
2021-09-24 02:14:28.148198 : Epoch  2, Batch    139, Loss  1.462224, Average Loss  1.452118, Time  0.438692
2021-09-24 02:14:30.074744 : Epoch  2, Batch    107, Loss  1.448756, Average Loss  1.453711, Time  0.447714
2021-09-24 02:14:34.102946 : Epoch  2, Batch    140, Loss  1.466416, Average Loss  1.452236, Time  0.438485
2021-09-24 02:14:36.070170 : Epoch  2, Batch    108, Loss  1.451257, Average Loss  1.453714, Time  0.446591
2021-09-24 02:14:40.040423 : Epoch  2, Batch    141, Loss  1.443060, Average Loss  1.452166, Time  0.441291
2021-09-24 02:14:42.072251 : Epoch  2, Batch    109, Loss  1.460431, Average Loss  1.453680, Time  0.447395
2021-09-24 02:14:45.995807 : Epoch  2, Batch    142, Loss  1.445171, Average Loss  1.452131, Time  0.439218
2021-09-24 02:14:48.084279 : Epoch  2, Batch    110, Loss  1.455069, Average Loss  1.453629, Time  0.445736
2021-09-24 02:14:51.924870 : Epoch  2, Batch    143, Loss  1.447562, Average Loss  1.452085, Time  0.439287
2021-09-24 02:14:54.097817 : Epoch  2, Batch    111, Loss  1.465744, Average Loss  1.453638, Time  0.455449
2021-09-24 02:14:57.898829 : Epoch  2, Batch    144, Loss  1.453723, Average Loss  1.452060, Time  0.452463
2021-09-24 02:15:00.090976 : Epoch  2, Batch    112, Loss  1.446297, Average Loss  1.453607, Time  0.445528
2021-09-24 02:15:03.846958 : Epoch  2, Batch    145, Loss  1.454204, Average Loss  1.452045, Time  0.439360
2021-09-24 02:15:06.102012 : Epoch  2, Batch    113, Loss  1.450294, Average Loss  1.453599, Time  0.445123
2021-09-24 02:15:09.773487 : Epoch  2, Batch    146, Loss  1.445666, Average Loss  1.451980, Time  0.439589
2021-09-24 02:15:12.120960 : Epoch  2, Batch    114, Loss  1.446885, Average Loss  1.453516, Time  0.448529
2021-09-24 02:15:15.731142 : Epoch  2, Batch    147, Loss  1.448231, Average Loss  1.451945, Time  0.441925
2021-09-24 02:15:18.157449 : Epoch  2, Batch    115, Loss  1.456126, Average Loss  1.453519, Time  0.452124
2021-09-24 02:15:21.683667 : Epoch  2, Batch    148, Loss  1.439950, Average Loss  1.451853, Time  0.440119
2021-09-24 02:15:24.168541 : Epoch  2, Batch    116, Loss  1.449592, Average Loss  1.453486, Time  0.450294
2021-09-24 02:15:27.625946 : Epoch  2, Batch    149, Loss  1.448483, Average Loss  1.451848, Time  0.439061
2021-09-24 02:15:30.178381 : Epoch  2, Batch    117, Loss  1.448991, Average Loss  1.453511, Time  0.448974
2021-09-24 02:15:33.588525 : Epoch  2, Batch    150, Loss  1.466139, Average Loss  1.451993, Time  0.443872
2021-09-24 02:15:36.211146 : Epoch  2, Batch    118, Loss  1.445755, Average Loss  1.453431, Time  0.454842
2021-09-24 02:15:39.538491 : Epoch  2, Batch    151, Loss  1.443253, Average Loss  1.451951, Time  0.441353
2021-09-24 02:15:42.232824 : Epoch  2, Batch    119, Loss  1.457434, Average Loss  1.453449, Time  0.446643
2021-09-24 02:15:45.497167 : Epoch  2, Batch    152, Loss  1.454327, Average Loss  1.451993, Time  0.457608
2021-09-24 02:15:48.226177 : Epoch  2, Batch    120, Loss  1.463908, Average Loss  1.453423, Time  0.444811
2021-09-24 02:15:51.461524 : Epoch  2, Batch    153, Loss  1.462002, Average Loss  1.452040, Time  0.445378
2021-09-24 02:15:54.236269 : Epoch  2, Batch    121, Loss  1.451122, Average Loss  1.453385, Time  0.449828
2021-09-24 02:15:57.393894 : Epoch  2, Batch    154, Loss  1.451996, Average Loss  1.451966, Time  0.439820
2021-09-24 02:16:00.233292 : Epoch  2, Batch    122, Loss  1.453202, Average Loss  1.453301, Time  0.444761
2021-09-24 02:16:03.335028 : Epoch  2, Batch    155, Loss  1.453668, Average Loss  1.451892, Time  0.441756
2021-09-24 02:16:06.264977 : Epoch  2, Batch    123, Loss  1.463212, Average Loss  1.453357, Time  0.448539
2021-09-24 02:16:09.285558 : Epoch  2, Batch    156, Loss  1.438046, Average Loss  1.451816, Time  0.441126
2021-09-24 02:16:12.307021 : Epoch  2, Batch    124, Loss  1.463540, Average Loss  1.453383, Time  0.450504
2021-09-24 02:16:15.256665 : Epoch  2, Batch    157, Loss  1.442486, Average Loss  1.451766, Time  0.438868
2021-09-24 02:16:18.352036 : Epoch  2, Batch    125, Loss  1.455346, Average Loss  1.453360, Time  0.451838
2021-09-24 02:16:21.210488 : Epoch  2, Batch    158, Loss  1.449876, Average Loss  1.451794, Time  0.439087
2021-09-24 02:16:24.406932 : Epoch  2, Batch    126, Loss  1.448715, Average Loss  1.453313, Time  0.462548
2021-09-24 02:16:27.184795 : Epoch  2, Batch    159, Loss  1.444219, Average Loss  1.451731, Time  0.453910
2021-09-24 02:16:30.428855 : Epoch  2, Batch    127, Loss  1.449814, Average Loss  1.453302, Time  0.448024
2021-09-24 02:16:33.157243 : Epoch  2, Batch    160, Loss  1.458302, Average Loss  1.451705, Time  0.440595
2021-09-24 02:16:36.467570 : Epoch  2, Batch    128, Loss  1.452284, Average Loss  1.453278, Time  0.447680
2021-09-24 02:16:39.111653 : Epoch  2, Batch    161, Loss  1.458719, Average Loss  1.451724, Time  0.439591
2021-09-24 02:16:42.477744 : Epoch  2, Batch    129, Loss  1.457381, Average Loss  1.453318, Time  0.451874
2021-09-24 02:16:45.062953 : Epoch  2, Batch    162, Loss  1.457186, Average Loss  1.451793, Time  0.447250
2021-09-24 02:16:48.506754 : Epoch  2, Batch    130, Loss  1.437718, Average Loss  1.453276, Time  0.446945
2021-09-24 02:16:51.015728 : Epoch  2, Batch    163, Loss  1.450068, Average Loss  1.451799, Time  0.438763
2021-09-24 02:16:54.519263 : Epoch  2, Batch    131, Loss  1.459190, Average Loss  1.453277, Time  0.449069
2021-09-24 02:16:56.952464 : Epoch  2, Batch    164, Loss  1.446922, Average Loss  1.451718, Time  0.439168
2021-09-24 02:17:00.539541 : Epoch  2, Batch    132, Loss  1.456921, Average Loss  1.453317, Time  0.447156
2021-09-24 02:17:02.902321 : Epoch  2, Batch    165, Loss  1.434877, Average Loss  1.451620, Time  0.438854
2021-09-24 02:17:06.595093 : Epoch  2, Batch    133, Loss  1.429956, Average Loss  1.453168, Time  0.461704
2021-09-24 02:17:08.846792 : Epoch  2, Batch    166, Loss  1.453646, Average Loss  1.451610, Time  0.441665
2021-09-24 02:17:12.603361 : Epoch  2, Batch    134, Loss  1.461924, Average Loss  1.453209, Time  0.445410
2021-09-24 02:17:14.806673 : Epoch  2, Batch    167, Loss  1.453003, Average Loss  1.451614, Time  0.451437
2021-09-24 02:17:18.624663 : Epoch  2, Batch    135, Loss  1.446067, Average Loss  1.453133, Time  0.445381
2021-09-24 02:17:20.754023 : Epoch  2, Batch    168, Loss  1.444749, Average Loss  1.451551, Time  0.439248
2021-09-24 02:17:24.668050 : Epoch  2, Batch    136, Loss  1.445952, Average Loss  1.453130, Time  0.451487
2021-09-24 02:17:26.693127 : Epoch  2, Batch    169, Loss  1.461020, Average Loss  1.451598, Time  0.448207
2021-09-24 02:17:30.680242 : Epoch  2, Batch    137, Loss  1.444986, Average Loss  1.452983, Time  0.447714
2021-09-24 02:17:32.662021 : Epoch  2, Batch    170, Loss  1.456664, Average Loss  1.451593, Time  0.442112
2021-09-24 02:17:36.693122 : Epoch  2, Batch    138, Loss  1.463029, Average Loss  1.453001, Time  0.446383
2021-09-24 02:17:38.596377 : Epoch  2, Batch    171, Loss  1.464627, Average Loss  1.451730, Time  0.439634
2021-09-24 02:17:42.719809 : Epoch  2, Batch    139, Loss  1.432964, Average Loss  1.452845, Time  0.449825
2021-09-24 02:17:44.541242 : Epoch  2, Batch    172, Loss  1.453093, Average Loss  1.451733, Time  0.441585
2021-09-24 02:17:48.752396 : Epoch  2, Batch    140, Loss  1.447438, Average Loss  1.452759, Time  0.447194
2021-09-24 02:17:54.781778 : Epoch  2, Batch    141, Loss  1.447872, Average Loss  1.452776, Time  0.452091
2021-09-24 02:18:00.789140 : Epoch  2, Batch    142, Loss  1.454557, Average Loss  1.452797, Time  0.444917
2021-09-24 02:18:06.825430 : Epoch  2, Batch    143, Loss  1.450081, Average Loss  1.452759, Time  0.453048
2021-09-24 02:18:12.838393 : Epoch  2, Batch    144, Loss  1.452357, Average Loss  1.452708, Time  0.456043
2021-09-24 02:18:18.858493 : Epoch  2, Batch    145, Loss  1.451365, Average Loss  1.452748, Time  0.445263
2021-09-24 02:18:24.841221 : Epoch  2, Batch    146, Loss  1.446933, Average Loss  1.452721, Time  0.445154
2021-09-24 02:18:30.856569 : Epoch  2, Batch    147, Loss  1.458579, Average Loss  1.452784, Time  0.445409
2021-09-24 02:18:36.917306 : Epoch  2, Batch    148, Loss  1.452180, Average Loss  1.452767, Time  0.469742
2021-09-24 02:18:42.931875 : Epoch  2, Batch    149, Loss  1.454600, Average Loss  1.452799, Time  0.446398
2021-09-24 02:18:48.939989 : Epoch  2, Batch    150, Loss  1.444149, Average Loss  1.452757, Time  0.445533
2021-09-24 02:18:54.962094 : Epoch  2, Batch    151, Loss  1.454856, Average Loss  1.452776, Time  0.450135
2021-09-24 02:19:01.000637 : Epoch  2, Batch    152, Loss  1.445372, Average Loss  1.452729, Time  0.445076
2021-09-24 02:19:07.012310 : Epoch  2, Batch    153, Loss  1.452188, Average Loss  1.452661, Time  0.445953
2021-09-24 02:19:13.039025 : Epoch  2, Batch    154, Loss  1.452286, Average Loss  1.452653, Time  0.455251
2021-09-24 02:19:19.066199 : Epoch  2, Batch    155, Loss  1.465658, Average Loss  1.452705, Time  0.445889
2021-09-24 02:19:25.100296 : Epoch  2, Batch    156, Loss  1.464612, Average Loss  1.452822, Time  0.461438
2021-09-24 02:19:31.095668 : Epoch  2, Batch    157, Loss  1.444061, Average Loss  1.452753, Time  0.446260
2021-09-24 02:19:37.089299 : Epoch  2, Batch    158, Loss  1.451235, Average Loss  1.452809, Time  0.444563
2021-09-24 02:19:43.082995 : Epoch  2, Batch    159, Loss  1.454187, Average Loss  1.452733, Time  0.446902
2021-09-24 02:19:49.102655 : Epoch  2, Batch    160, Loss  1.454010, Average Loss  1.452700, Time  0.447080
2021-09-24 02:19:55.123569 : Epoch  2, Batch    161, Loss  1.452613, Average Loss  1.452712, Time  0.451542
2021-09-24 02:20:01.154654 : Epoch  2, Batch    162, Loss  1.458635, Average Loss  1.452693, Time  0.445114
2021-09-24 02:20:07.220068 : Epoch  2, Batch    163, Loss  1.457604, Average Loss  1.452683, Time  0.461022
2021-09-24 02:20:13.228311 : Epoch  2, Batch    164, Loss  1.442770, Average Loss  1.452562, Time  0.450327
2021-09-24 02:20:19.251887 : Epoch  2, Batch    165, Loss  1.450490, Average Loss  1.452521, Time  0.452493
2021-09-24 02:20:25.259832 : Epoch  2, Batch    166, Loss  1.467334, Average Loss  1.452566, Time  0.445257
2021-09-24 02:20:31.261270 : Epoch  2, Batch    167, Loss  1.442999, Average Loss  1.452573, Time  0.445136
2021-09-24 02:20:37.293877 : Epoch  2, Batch    168, Loss  1.465536, Average Loss  1.452584, Time  0.447377
2021-09-24 02:20:43.299252 : Epoch  2, Batch    169, Loss  1.452531, Average Loss  1.452645, Time  0.447209
2021-09-24 02:20:49.321151 : Epoch  2, Batch    170, Loss  1.442011, Average Loss  1.452616, Time  0.445723
2021-09-24 02:20:55.348377 : Epoch  2, Batch    171, Loss  1.465208, Average Loss  1.452651, Time  0.461341
2021-09-24 02:21:01.388105 : Epoch  2, Batch    172, Loss  1.459172, Average Loss  1.452689, Time  0.448634
2021-09-24 02:22:22.411363 : CheckPoint: Validation Loss  0.00025076, Best Loss  0.00025076
2021-09-24 02:22:22.451108 : Best Model Updated
2021-09-24 02:22:29.172942 : Epoch  2, Batch    173, Loss  1.445992, Average Loss  1.451705, Time  0.439346
2021-09-24 02:22:35.112799 : Epoch  2, Batch    174, Loss  1.450057, Average Loss  1.451689, Time  0.455176
2021-09-24 02:22:41.044980 : Epoch  2, Batch    175, Loss  1.438454, Average Loss  1.451597, Time  0.438421
2021-09-24 02:22:46.986464 : Epoch  2, Batch    176, Loss  1.433895, Average Loss  1.451511, Time  0.439064
2021-09-24 02:22:52.914870 : Epoch  2, Batch    177, Loss  1.439785, Average Loss  1.451478, Time  0.440117
2021-09-24 02:22:58.845650 : Epoch  2, Batch    178, Loss  1.446176, Average Loss  1.451421, Time  0.439494
2021-09-24 02:23:04.784595 : Epoch  2, Batch    179, Loss  1.441562, Average Loss  1.451381, Time  0.438957
2021-09-24 02:23:10.727348 : Epoch  2, Batch    180, Loss  1.458209, Average Loss  1.451380, Time  0.443135
2021-09-24 02:23:16.662117 : Epoch  2, Batch    181, Loss  1.445549, Average Loss  1.451356, Time  0.438900
2021-09-24 02:23:22.600053 : Epoch  2, Batch    182, Loss  1.448247, Average Loss  1.451338, Time  0.456608
2021-09-24 02:23:28.527909 : Epoch  2, Batch    183, Loss  1.443424, Average Loss  1.451353, Time  0.439413
2021-09-24 02:23:34.472943 : Epoch  2, Batch    184, Loss  1.442230, Average Loss  1.451297, Time  0.441225
2021-09-24 02:23:40.395624 : Epoch  2, Batch    185, Loss  1.459743, Average Loss  1.451339, Time  0.439554
2021-09-24 02:23:46.338163 : Epoch  2, Batch    186, Loss  1.460442, Average Loss  1.451422, Time  0.441601
2021-09-24 02:23:52.268257 : Epoch  2, Batch    187, Loss  1.445261, Average Loss  1.451350, Time  0.439394
2021-09-24 02:23:58.220957 : Epoch  2, Batch    188, Loss  1.451662, Average Loss  1.451373, Time  0.440863
2021-09-24 02:24:04.157238 : Epoch  2, Batch    189, Loss  1.452328, Average Loss  1.451367, Time  0.442343
2021-09-24 02:24:10.108845 : Epoch  2, Batch    190, Loss  1.453848, Average Loss  1.451352, Time  0.455099
2021-09-24 02:24:16.047458 : Epoch  2, Batch    191, Loss  1.457097, Average Loss  1.451338, Time  0.439441
2021-09-24 02:24:21.963309 : Epoch  2, Batch    192, Loss  1.462158, Average Loss  1.451393, Time  0.439567
2021-09-24 02:24:27.874429 : Epoch  2, Batch    193, Loss  1.447737, Average Loss  1.451386, Time  0.439737
2021-09-24 02:24:33.779806 : Epoch  2, Batch    194, Loss  1.455691, Average Loss  1.451343, Time  0.439976
2021-09-24 02:24:39.688128 : Epoch  2, Batch    195, Loss  1.456861, Average Loss  1.451339, Time  0.439955
2021-09-24 02:24:45.624797 : Epoch  2, Batch    196, Loss  1.448856, Average Loss  1.451335, Time  0.439207
2021-09-24 02:24:51.553723 : Epoch  2, Batch    197, Loss  1.450457, Average Loss  1.451368, Time  0.441955
2021-09-24 02:24:57.502983 : Epoch  2, Batch    198, Loss  1.449224, Average Loss  1.451367, Time  0.458267
2021-09-24 02:25:03.430774 : Epoch  2, Batch    199, Loss  1.445097, Average Loss  1.451325, Time  0.439761
2021-09-24 02:25:09.354144 : Epoch  2, Batch    200, Loss  1.448434, Average Loss  1.451356, Time  0.440903
2021-09-24 02:25:15.279824 : Epoch  2, Batch    201, Loss  1.448272, Average Loss  1.451384, Time  0.438903
2021-09-24 02:25:21.207694 : Epoch  2, Batch    202, Loss  1.458454, Average Loss  1.451400, Time  0.441196
2021-09-24 02:25:27.126029 : Epoch  2, Batch    203, Loss  1.457993, Average Loss  1.451448, Time  0.438699
2021-09-24 02:25:33.064046 : Epoch  2, Batch    204, Loss  1.469657, Average Loss  1.451496, Time  0.440585
2021-09-24 02:25:38.995502 : Epoch  2, Batch    205, Loss  1.446023, Average Loss  1.451481, Time  0.440020
2021-09-24 02:25:44.943847 : Epoch  2, Batch    206, Loss  1.443769, Average Loss  1.451475, Time  0.447943
2021-09-24 02:25:47.568705 : CheckPoint: Validation Loss  0.00025265, Best Loss  0.00024635
2021-09-24 02:25:50.897509 : Epoch  2, Batch    207, Loss  1.455639, Average Loss  1.451454, Time  0.438951
2021-09-24 02:25:53.599310 : Epoch  2, Batch    173, Loss  1.456532, Average Loss  1.452727, Time  0.446909
2021-09-24 02:25:56.847821 : Epoch  2, Batch    208, Loss  1.462430, Average Loss  1.451499, Time  0.439539
2021-09-24 02:25:59.597063 : Epoch  2, Batch    174, Loss  1.457952, Average Loss  1.452796, Time  0.444743
2021-09-24 02:26:02.766503 : Epoch  2, Batch    209, Loss  1.452009, Average Loss  1.451483, Time  0.439131
2021-09-24 02:26:05.585186 : Epoch  2, Batch    175, Loss  1.463724, Average Loss  1.452858, Time  0.451944
2021-09-24 02:26:08.681040 : Epoch  2, Batch    210, Loss  1.443753, Average Loss  1.451462, Time  0.439489
2021-09-24 02:26:11.624654 : Epoch  2, Batch    176, Loss  1.443821, Average Loss  1.452776, Time  0.459594
2021-09-24 02:26:14.608812 : Epoch  2, Batch    211, Loss  1.445110, Average Loss  1.451458, Time  0.438717
2021-09-24 02:26:17.638769 : Epoch  2, Batch    177, Loss  1.462764, Average Loss  1.452788, Time  0.447883
2021-09-24 02:26:20.536174 : Epoch  2, Batch    212, Loss  1.455717, Average Loss  1.451510, Time  0.439045
2021-09-24 02:26:23.659833 : Epoch  2, Batch    178, Loss  1.456837, Average Loss  1.452736, Time  0.447991
2021-09-24 02:26:26.458763 : Epoch  2, Batch    213, Loss  1.443586, Average Loss  1.451429, Time  0.439130
2021-09-24 02:26:29.681640 : Epoch  2, Batch    179, Loss  1.444064, Average Loss  1.452658, Time  0.447868
2021-09-24 02:26:32.402401 : Epoch  2, Batch    214, Loss  1.428700, Average Loss  1.451213, Time  0.448077
2021-09-24 02:26:35.711239 : Epoch  2, Batch    180, Loss  1.447883, Average Loss  1.452636, Time  0.447513
2021-09-24 02:26:38.333490 : Epoch  2, Batch    215, Loss  1.446359, Average Loss  1.451203, Time  0.442065
2021-09-24 02:26:41.730269 : Epoch  2, Batch    181, Loss  1.459352, Average Loss  1.452646, Time  0.450252
2021-09-24 02:26:44.269768 : Epoch  2, Batch    216, Loss  1.435842, Average Loss  1.451163, Time  0.438416
2021-09-24 02:26:47.734978 : Epoch  2, Batch    182, Loss  1.464063, Average Loss  1.452729, Time  0.446640
2021-09-24 02:26:50.201045 : Epoch  2, Batch    217, Loss  1.452737, Average Loss  1.451175, Time  0.438774
2021-09-24 02:26:53.745447 : Epoch  2, Batch    183, Loss  1.454491, Average Loss  1.452752, Time  0.447870
2021-09-24 02:26:56.127871 : Epoch  2, Batch    218, Loss  1.442085, Average Loss  1.451164, Time  0.440315
2021-09-24 02:26:59.754669 : Epoch  2, Batch    184, Loss  1.459247, Average Loss  1.452814, Time  0.456705
2021-09-24 02:27:02.055203 : Epoch  2, Batch    219, Loss  1.447359, Average Loss  1.451082, Time  0.439553
2021-09-24 02:27:05.767131 : Epoch  2, Batch    185, Loss  1.466028, Average Loss  1.452840, Time  0.452566
2021-09-24 02:27:07.991447 : Epoch  2, Batch    220, Loss  1.439190, Average Loss  1.450962, Time  0.439766
2021-09-24 02:27:11.756226 : Epoch  2, Batch    186, Loss  1.452718, Average Loss  1.452837, Time  0.448267
2021-09-24 02:27:13.906393 : Epoch  2, Batch    221, Loss  1.447512, Average Loss  1.450993, Time  0.443082
2021-09-24 02:27:17.746640 : Epoch  2, Batch    187, Loss  1.457757, Average Loss  1.452913, Time  0.447021
2021-09-24 02:27:19.832928 : Epoch  2, Batch    222, Loss  1.456553, Average Loss  1.450954, Time  0.448316
2021-09-24 02:27:23.737236 : Epoch  2, Batch    188, Loss  1.458692, Average Loss  1.452928, Time  0.445440
2021-09-24 02:27:25.770699 : Epoch  2, Batch    223, Loss  1.438936, Average Loss  1.450900, Time  0.444487
2021-09-24 02:27:29.748783 : Epoch  2, Batch    189, Loss  1.448801, Average Loss  1.452882, Time  0.446259
2021-09-24 02:27:31.701422 : Epoch  2, Batch    224, Loss  1.462851, Average Loss  1.450909, Time  0.440271
2021-09-24 02:27:35.765408 : Epoch  2, Batch    190, Loss  1.457545, Average Loss  1.452898, Time  0.445399
2021-09-24 02:27:37.619530 : Epoch  2, Batch    225, Loss  1.445185, Average Loss  1.450934, Time  0.439150
2021-09-24 02:27:41.761846 : Epoch  2, Batch    191, Loss  1.446761, Average Loss  1.452833, Time  0.461318
2021-09-24 02:27:43.542474 : Epoch  2, Batch    226, Loss  1.448721, Average Loss  1.450955, Time  0.440578
2021-09-24 02:27:47.762886 : Epoch  2, Batch    192, Loss  1.460100, Average Loss  1.452866, Time  0.446934
2021-09-24 02:27:49.477376 : Epoch  2, Batch    227, Loss  1.454071, Average Loss  1.450973, Time  0.438959
2021-09-24 02:27:53.761954 : Epoch  2, Batch    193, Loss  1.461777, Average Loss  1.452925, Time  0.445357
2021-09-24 02:27:55.407647 : Epoch  2, Batch    228, Loss  1.462738, Average Loss  1.450969, Time  0.438977
2021-09-24 02:27:59.756011 : Epoch  2, Batch    194, Loss  1.469953, Average Loss  1.452971, Time  0.444322
2021-09-24 02:28:01.325409 : Epoch  2, Batch    229, Loss  1.446523, Average Loss  1.450953, Time  0.440117
2021-09-24 02:28:05.745939 : Epoch  2, Batch    195, Loss  1.469521, Average Loss  1.453060, Time  0.444182
2021-09-24 02:28:07.258840 : Epoch  2, Batch    230, Loss  1.454118, Average Loss  1.450968, Time  0.452542
2021-09-24 02:28:11.747736 : Epoch  2, Batch    196, Loss  1.444084, Average Loss  1.452964, Time  0.447637
2021-09-24 02:28:13.183675 : Epoch  2, Batch    231, Loss  1.473674, Average Loss  1.451005, Time  0.438520
2021-09-24 02:28:17.749077 : Epoch  2, Batch    197, Loss  1.444609, Average Loss  1.452887, Time  0.446457
2021-09-24 02:28:19.090240 : Epoch  2, Batch    232, Loss  1.440416, Average Loss  1.450932, Time  0.438375
2021-09-24 02:28:23.737420 : Epoch  2, Batch    198, Loss  1.433290, Average Loss  1.452784, Time  0.445352
2021-09-24 02:28:25.003705 : Epoch  2, Batch    233, Loss  1.443579, Average Loss  1.450884, Time  0.438473
2021-09-24 02:28:29.740474 : Epoch  2, Batch    199, Loss  1.445162, Average Loss  1.452773, Time  0.460570
2021-09-24 02:28:30.921546 : Epoch  2, Batch    234, Loss  1.450888, Average Loss  1.450888, Time  0.439776
2021-09-24 02:28:35.738918 : Epoch  2, Batch    200, Loss  1.443633, Average Loss  1.452755, Time  0.450148
2021-09-24 02:28:36.839796 : Epoch  2, Batch    235, Loss  1.432579, Average Loss  1.450730, Time  0.441975
2021-09-24 02:28:41.740669 : Epoch  2, Batch    201, Loss  1.445830, Average Loss  1.452730, Time  0.449658
2021-09-24 02:28:42.745782 : Epoch  2, Batch    236, Loss  1.448618, Average Loss  1.450692, Time  0.438968
2021-09-24 02:28:47.732520 : Epoch  2, Batch    202, Loss  1.461165, Average Loss  1.452890, Time  0.456239
2021-09-24 02:28:48.666520 : Epoch  2, Batch    237, Loss  1.448859, Average Loss  1.450709, Time  0.438525
2021-09-24 02:28:53.749231 : Epoch  2, Batch    203, Loss  1.451287, Average Loss  1.452859, Time  0.449301
2021-09-24 02:28:54.600199 : Epoch  2, Batch    238, Loss  1.452488, Average Loss  1.450683, Time  0.452679
2021-09-24 02:28:59.742268 : Epoch  2, Batch    204, Loss  1.447194, Average Loss  1.452849, Time  0.450190
2021-09-24 02:29:00.515710 : Epoch  2, Batch    239, Loss  1.445713, Average Loss  1.450714, Time  0.439608
2021-09-24 02:29:05.724109 : Epoch  2, Batch    205, Loss  1.441361, Average Loss  1.452768, Time  0.445271
2021-09-24 02:29:06.448018 : Epoch  2, Batch    240, Loss  1.450810, Average Loss  1.450699, Time  0.438781
2021-09-24 02:29:11.748697 : Epoch  2, Batch    206, Loss  1.423091, Average Loss  1.452646, Time  0.467242
2021-09-24 02:29:12.387239 : Epoch  2, Batch    241, Loss  1.457123, Average Loss  1.450708, Time  0.440942
2021-09-24 02:29:17.739525 : Epoch  2, Batch    207, Loss  1.464242, Average Loss  1.452729, Time  0.446502
2021-09-24 02:29:18.314400 : Epoch  2, Batch    242, Loss  1.438830, Average Loss  1.450663, Time  0.439634
2021-09-24 02:29:23.724134 : Epoch  2, Batch    208, Loss  1.454480, Average Loss  1.452783, Time  0.446491
2021-09-24 02:29:24.248025 : Epoch  2, Batch    243, Loss  1.448516, Average Loss  1.450631, Time  0.439761
2021-09-24 02:29:29.711201 : Epoch  2, Batch    209, Loss  1.451477, Average Loss  1.452788, Time  0.446022
2021-09-24 02:29:30.171388 : Epoch  2, Batch    244, Loss  1.448369, Average Loss  1.450617, Time  0.438885
2021-09-24 02:29:35.688074 : Epoch  2, Batch    210, Loss  1.448227, Average Loss  1.452735, Time  0.445989
2021-09-24 02:29:36.109966 : Epoch  2, Batch    245, Loss  1.449534, Average Loss  1.450636, Time  0.459582
2021-09-24 02:29:41.683772 : Epoch  2, Batch    211, Loss  1.441159, Average Loss  1.452697, Time  0.445487
2021-09-24 02:29:42.034471 : Epoch  2, Batch    246, Loss  1.449814, Average Loss  1.450675, Time  0.441409
2021-09-24 02:29:47.681810 : Epoch  2, Batch    212, Loss  1.451967, Average Loss  1.452661, Time  0.447782
2021-09-24 02:29:47.951208 : Epoch  2, Batch    247, Loss  1.450206, Average Loss  1.450665, Time  0.439130
2021-09-24 02:29:53.667562 : Epoch  2, Batch    213, Loss  1.447039, Average Loss  1.452630, Time  0.448671
2021-09-24 02:29:53.887053 : Epoch  2, Batch    248, Loss  1.452484, Average Loss  1.450636, Time  0.439405
2021-09-24 02:29:59.677386 : Epoch  2, Batch    214, Loss  1.446676, Average Loss  1.452537, Time  0.462830
2021-09-24 02:29:59.824412 : Epoch  2, Batch    249, Loss  1.450349, Average Loss  1.450645, Time  0.439576
2021-09-24 02:30:05.670305 : Epoch  2, Batch    215, Loss  1.455218, Average Loss  1.452610, Time  0.446182
2021-09-24 02:30:05.833567 : Epoch  2, Batch    250, Loss  1.448800, Average Loss  1.450627, Time  0.441090
2021-09-24 02:30:11.652909 : Epoch  2, Batch    216, Loss  1.454139, Average Loss  1.452556, Time  0.446442
2021-09-24 02:30:11.751243 : Epoch  2, Batch    251, Loss  1.448813, Average Loss  1.450569, Time  0.442845
2021-09-24 02:30:17.642221 : Epoch  2, Batch    217, Loss  1.446934, Average Loss  1.452540, Time  0.444908
2021-09-24 02:30:17.675823 : Epoch  2, Batch    252, Loss  1.446641, Average Loss  1.450549, Time  0.439741
2021-09-24 02:30:23.612858 : Epoch  2, Batch    253, Loss  1.447301, Average Loss  1.450524, Time  0.452863
2021-09-24 02:30:23.646964 : Epoch  2, Batch    218, Loss  1.464170, Average Loss  1.452595, Time  0.452913
2021-09-24 02:30:29.550209 : Epoch  2, Batch    254, Loss  1.452410, Average Loss  1.450595, Time  0.440035
2021-09-24 02:30:29.641468 : Epoch  2, Batch    219, Loss  1.450781, Average Loss  1.452583, Time  0.446153
2021-09-24 02:30:35.458242 : Epoch  2, Batch    255, Loss  1.458495, Average Loss  1.450630, Time  0.440633
2021-09-24 02:30:35.613199 : Epoch  2, Batch    220, Loss  1.438688, Average Loss  1.452493, Time  0.449347
2021-09-24 02:30:41.382573 : Epoch  2, Batch    256, Loss  1.459551, Average Loss  1.450738, Time  0.439543
2021-09-24 02:30:41.598743 : Epoch  2, Batch    221, Loss  1.457064, Average Loss  1.452502, Time  0.461786
2021-09-24 02:30:47.307690 : Epoch  2, Batch    257, Loss  1.453767, Average Loss  1.450766, Time  0.438779
2021-09-24 02:30:47.569746 : Epoch  2, Batch    222, Loss  1.459456, Average Loss  1.452507, Time  0.446302
2021-09-24 02:30:53.266148 : Epoch  2, Batch    258, Loss  1.453984, Average Loss  1.450760, Time  0.440586
2021-09-24 02:30:53.556505 : Epoch  2, Batch    223, Loss  1.454327, Average Loss  1.452521, Time  0.446912
2021-09-24 02:30:59.263162 : Epoch  2, Batch    259, Loss  1.447324, Average Loss  1.450748, Time  0.439070
2021-09-24 02:30:59.528896 : Epoch  2, Batch    224, Loss  1.455672, Average Loss  1.452504, Time  0.446601
2021-09-24 02:31:05.265863 : Epoch  2, Batch    260, Loss  1.450369, Average Loss  1.450782, Time  0.439106
2021-09-24 02:31:05.497819 : Epoch  2, Batch    225, Loss  1.451252, Average Loss  1.452424, Time  0.446575
2021-09-24 02:31:11.282937 : Epoch  2, Batch    261, Loss  1.448614, Average Loss  1.450776, Time  0.450356
2021-09-24 02:31:11.469186 : Epoch  2, Batch    226, Loss  1.444532, Average Loss  1.452339, Time  0.445791
2021-09-24 02:31:17.288283 : Epoch  2, Batch    262, Loss  1.452411, Average Loss  1.450753, Time  0.439742
2021-09-24 02:31:17.464251 : Epoch  2, Batch    227, Loss  1.461365, Average Loss  1.452398, Time  0.445443
2021-09-24 02:31:23.275684 : Epoch  2, Batch    263, Loss  1.432137, Average Loss  1.450653, Time  0.439764
2021-09-24 02:31:23.436334 : Epoch  2, Batch    228, Loss  1.456847, Average Loss  1.452435, Time  0.444381
2021-09-24 02:31:29.265980 : Epoch  2, Batch    264, Loss  1.451456, Average Loss  1.450589, Time  0.439136
2021-09-24 02:31:29.422088 : Epoch  2, Batch    229, Loss  1.457019, Average Loss  1.452461, Time  0.458621
2021-09-24 02:31:35.263777 : Epoch  2, Batch    265, Loss  1.451420, Average Loss  1.450602, Time  0.444346
2021-09-24 02:31:35.385160 : Epoch  2, Batch    230, Loss  1.448241, Average Loss  1.452430, Time  0.445657
2021-09-24 02:31:41.269768 : Epoch  2, Batch    266, Loss  1.442978, Average Loss  1.450499, Time  0.439337
2021-09-24 02:31:41.369431 : Epoch  2, Batch    231, Loss  1.455986, Average Loss  1.452453, Time  0.446329
2021-09-24 02:31:47.254950 : Epoch  2, Batch    267, Loss  1.448237, Average Loss  1.450447, Time  0.439799
2021-09-24 02:31:47.339536 : Epoch  2, Batch    232, Loss  1.455535, Average Loss  1.452456, Time  0.444696
2021-09-24 02:31:53.320477 : Epoch  2, Batch    268, Loss  1.464118, Average Loss  1.450520, Time  0.454657
2021-09-24 02:31:53.354280 : Epoch  2, Batch    233, Loss  1.457538, Average Loss  1.452477, Time  0.448743
2021-09-24 02:31:59.307756 : Epoch  2, Batch    269, Loss  1.444209, Average Loss  1.450484, Time  0.439304
2021-09-24 02:31:59.348830 : Epoch  2, Batch    234, Loss  1.449451, Average Loss  1.452422, Time  0.448085
2021-09-24 02:32:05.310398 : Epoch  2, Batch    270, Loss  1.447073, Average Loss  1.450442, Time  0.444009
2021-09-24 02:32:05.344505 : Epoch  2, Batch    235, Loss  1.459788, Average Loss  1.452505, Time  0.445199
2021-09-24 02:32:11.319324 : Epoch  2, Batch    236, Loss  1.443844, Average Loss  1.452406, Time  0.448327
2021-09-24 02:32:11.361618 : Epoch  2, Batch    271, Loss  1.462531, Average Loss  1.450459, Time  0.443063
2021-09-24 02:32:17.323154 : Epoch  2, Batch    237, Loss  1.458071, Average Loss  1.452438, Time  0.460815
2021-09-24 02:32:17.362150 : Epoch  2, Batch    272, Loss  1.445677, Average Loss  1.450488, Time  0.441348
2021-09-24 02:32:23.349481 : Epoch  2, Batch    238, Loss  1.445133, Average Loss  1.452417, Time  0.446105
2021-09-24 02:32:29.327387 : Epoch  2, Batch    239, Loss  1.451774, Average Loss  1.452414, Time  0.445161
2021-09-24 02:32:35.324276 : Epoch  2, Batch    240, Loss  1.459108, Average Loss  1.452484, Time  0.445312
2021-09-24 02:32:41.303714 : Epoch  2, Batch    241, Loss  1.444485, Average Loss  1.452529, Time  0.445412
2021-09-24 02:32:47.296092 : Epoch  2, Batch    242, Loss  1.459039, Average Loss  1.452532, Time  0.446139
2021-09-24 02:32:53.293472 : Epoch  2, Batch    243, Loss  1.455234, Average Loss  1.452591, Time  0.450631
2021-09-24 02:32:59.306470 : Epoch  2, Batch    244, Loss  1.455251, Average Loss  1.452644, Time  0.461251
2021-09-24 02:33:05.305300 : Epoch  2, Batch    245, Loss  1.447991, Average Loss  1.452635, Time  0.447684
2021-09-24 02:33:11.287790 : Epoch  2, Batch    246, Loss  1.449106, Average Loss  1.452644, Time  0.446348
2021-09-24 02:33:17.276326 : Epoch  2, Batch    247, Loss  1.439526, Average Loss  1.452570, Time  0.444955
2021-09-24 02:33:23.277238 : Epoch  2, Batch    248, Loss  1.446389, Average Loss  1.452501, Time  0.448203
2021-09-24 02:33:29.286655 : Epoch  2, Batch    249, Loss  1.453277, Average Loss  1.452521, Time  0.448259
2021-09-24 02:33:35.296167 : Epoch  2, Batch    250, Loss  1.443802, Average Loss  1.452468, Time  0.448104
2021-09-24 02:33:41.320252 : Epoch  2, Batch    251, Loss  1.462875, Average Loss  1.452475, Time  0.453163
2021-09-24 02:33:47.326167 : Epoch  2, Batch    252, Loss  1.464697, Average Loss  1.452537, Time  0.461170
2021-09-24 02:33:53.348599 : Epoch  2, Batch    253, Loss  1.448988, Average Loss  1.452509, Time  0.449409
2021-09-24 02:33:59.340051 : Epoch  2, Batch    254, Loss  1.458212, Average Loss  1.452574, Time  0.447951
2021-09-24 02:34:05.333175 : Epoch  2, Batch    255, Loss  1.461915, Average Loss  1.452598, Time  0.448526
2021-09-24 02:34:11.335859 : Epoch  2, Batch    256, Loss  1.449826, Average Loss  1.452561, Time  0.448876
2021-09-24 02:34:17.329803 : Epoch  2, Batch    257, Loss  1.441842, Average Loss  1.452522, Time  0.448458
2021-09-24 02:34:23.335353 : Epoch  2, Batch    258, Loss  1.441873, Average Loss  1.452430, Time  0.446574
2021-09-24 02:34:29.347505 : Epoch  2, Batch    259, Loss  1.464688, Average Loss  1.452477, Time  0.455960
2021-09-24 02:34:35.343461 : Epoch  2, Batch    260, Loss  1.454728, Average Loss  1.452541, Time  0.445307
2021-09-24 02:34:41.363719 : Epoch  2, Batch    261, Loss  1.446305, Average Loss  1.452543, Time  0.444830
2021-09-24 02:34:47.373604 : Epoch  2, Batch    262, Loss  1.441590, Average Loss  1.452503, Time  0.449588
2021-09-24 02:34:53.381011 : Epoch  2, Batch    263, Loss  1.449257, Average Loss  1.452515, Time  0.446659
2021-09-24 02:34:59.382871 : Epoch  2, Batch    264, Loss  1.454840, Average Loss  1.452449, Time  0.446249
2021-09-24 02:35:05.376540 : Epoch  2, Batch    265, Loss  1.448536, Average Loss  1.452426, Time  0.446625
2021-09-24 02:35:11.391359 : Epoch  2, Batch    266, Loss  1.443827, Average Loss  1.452366, Time  0.446611
2021-09-24 02:35:17.417945 : Epoch  2, Batch    267, Loss  1.449317, Average Loss  1.452348, Time  0.458159
2021-09-24 02:35:23.428993 : Epoch  2, Batch    268, Loss  1.453834, Average Loss  1.452360, Time  0.448389
2021-09-24 02:35:29.428420 : Epoch  2, Batch    269, Loss  1.460978, Average Loss  1.452378, Time  0.444785
2021-09-24 02:35:35.416554 : Epoch  2, Batch    270, Loss  1.449378, Average Loss  1.452328, Time  0.449117
2021-09-24 02:35:41.416598 : Epoch  2, Batch    271, Loss  1.451465, Average Loss  1.452317, Time  0.444847
2021-09-24 02:35:47.403121 : Epoch  2, Batch    272, Loss  1.451515, Average Loss  1.452309, Time  0.447037
2021-09-24 02:36:54.639786 : CheckPoint: Validation Loss  0.00024773, Best Loss  0.00024773
2021-09-24 02:36:54.683708 : Best Model Updated
2021-09-24 02:37:01.335445 : Epoch  2, Batch    273, Loss  1.454136, Average Loss  1.450413, Time  0.441447
2021-09-24 02:37:07.309779 : Epoch  2, Batch    274, Loss  1.451316, Average Loss  1.450358, Time  0.438955
2021-09-24 02:37:13.297714 : Epoch  2, Batch    275, Loss  1.427625, Average Loss  1.450224, Time  0.439584
2021-09-24 02:37:19.287369 : Epoch  2, Batch    276, Loss  1.460840, Average Loss  1.450267, Time  0.450044
2021-09-24 02:37:25.279389 : Epoch  2, Batch    277, Loss  1.456675, Average Loss  1.450337, Time  0.438939
2021-09-24 02:37:31.274457 : Epoch  2, Batch    278, Loss  1.452870, Average Loss  1.450336, Time  0.446688
2021-09-24 02:37:37.280727 : Epoch  2, Batch    279, Loss  1.445542, Average Loss  1.450340, Time  0.441262
2021-09-24 02:37:43.303742 : Epoch  2, Batch    280, Loss  1.455929, Average Loss  1.450366, Time  0.441105
2021-09-24 02:37:49.301803 : Epoch  2, Batch    281, Loss  1.456035, Average Loss  1.450331, Time  0.440661
2021-09-24 02:37:55.296800 : Epoch  2, Batch    282, Loss  1.456373, Average Loss  1.450369, Time  0.439943
2021-09-24 02:38:01.294874 : Epoch  2, Batch    283, Loss  1.451088, Average Loss  1.450356, Time  0.446746
2021-09-24 02:38:07.285232 : Epoch  2, Batch    284, Loss  1.461181, Average Loss  1.450444, Time  0.439159
2021-09-24 02:38:13.303487 : Epoch  2, Batch    285, Loss  1.440808, Average Loss  1.450373, Time  0.441209
2021-09-24 02:38:19.304533 : Epoch  2, Batch    286, Loss  1.453948, Average Loss  1.450439, Time  0.439475
2021-09-24 02:38:25.307615 : Epoch  2, Batch    287, Loss  1.458143, Average Loss  1.450440, Time  0.439498
2021-09-24 02:38:31.311313 : Epoch  2, Batch    288, Loss  1.454930, Average Loss  1.450474, Time  0.439993
2021-09-24 02:38:37.301786 : Epoch  2, Batch    289, Loss  1.453981, Average Loss  1.450445, Time  0.442693
2021-09-24 02:38:43.301326 : Epoch  2, Batch    290, Loss  1.457516, Average Loss  1.450515, Time  0.439064
2021-09-24 02:38:49.319232 : Epoch  2, Batch    291, Loss  1.451862, Average Loss  1.450536, Time  0.457971
2021-09-24 02:38:55.324410 : Epoch  2, Batch    292, Loss  1.462436, Average Loss  1.450589, Time  0.441841
2021-09-24 02:39:01.312894 : Epoch  2, Batch    293, Loss  1.455141, Average Loss  1.450590, Time  0.438687
2021-09-24 02:39:07.333326 : Epoch  2, Batch    294, Loss  1.460670, Average Loss  1.450622, Time  0.441990
2021-09-24 02:39:13.315551 : Epoch  2, Batch    295, Loss  1.452094, Average Loss  1.450557, Time  0.441090
2021-09-24 02:39:19.333715 : Epoch  2, Batch    296, Loss  1.455416, Average Loss  1.450537, Time  0.440202
2021-09-24 02:39:25.336279 : Epoch  2, Batch    297, Loss  1.460967, Average Loss  1.450555, Time  0.439987
2021-09-24 02:39:31.335769 : Epoch  2, Batch    298, Loss  1.440316, Average Loss  1.450442, Time  0.450586
2021-09-24 02:39:37.316630 : Epoch  2, Batch    299, Loss  1.452487, Average Loss  1.450485, Time  0.438772
2021-09-24 02:39:43.309921 : Epoch  2, Batch    300, Loss  1.454761, Average Loss  1.450507, Time  0.439151
2021-09-24 02:39:49.309000 : Epoch  2, Batch    301, Loss  1.459444, Average Loss  1.450529, Time  0.442595
2021-09-24 02:39:55.302659 : Epoch  2, Batch    302, Loss  1.437871, Average Loss  1.450461, Time  0.438719
2021-09-24 02:40:01.306857 : Epoch  2, Batch    303, Loss  1.451620, Average Loss  1.450522, Time  0.445014
2021-09-24 02:40:07.294841 : Epoch  2, Batch    304, Loss  1.447505, Average Loss  1.450446, Time  0.438854
2021-09-24 02:40:13.286492 : Epoch  2, Batch    305, Loss  1.450339, Average Loss  1.450463, Time  0.438762
2021-09-24 02:40:19.308926 : Epoch  2, Batch    306, Loss  1.453416, Average Loss  1.450495, Time  0.451084
2021-09-24 02:40:25.296360 : Epoch  2, Batch    307, Loss  1.460788, Average Loss  1.450499, Time  0.439191
2021-09-24 02:40:30.834968 : CheckPoint: Validation Loss  0.00025334, Best Loss  0.00024635
2021-09-24 02:40:31.281783 : Epoch  2, Batch    308, Loss  1.456422, Average Loss  1.450546, Time  0.439127
2021-09-24 02:40:36.827136 : Epoch  2, Batch    273, Loss  1.444062, Average Loss  1.452281, Time  0.454504
2021-09-24 02:40:37.262602 : Epoch  2, Batch    309, Loss  1.454064, Average Loss  1.450544, Time  0.441566
2021-09-24 02:40:42.787932 : Epoch  2, Batch    274, Loss  1.447486, Average Loss  1.452275, Time  0.445173
2021-09-24 02:40:43.248797 : Epoch  2, Batch    310, Loss  1.458185, Average Loss  1.450594, Time  0.442677
2021-09-24 02:40:48.752618 : Epoch  2, Batch    275, Loss  1.450669, Average Loss  1.452289, Time  0.444015
2021-09-24 02:40:49.232745 : Epoch  2, Batch    311, Loss  1.448092, Average Loss  1.450571, Time  0.441720
2021-09-24 02:40:54.726562 : Epoch  2, Batch    276, Loss  1.448375, Average Loss  1.452263, Time  0.445870
2021-09-24 02:40:55.230350 : Epoch  2, Batch    312, Loss  1.443725, Average Loss  1.450571, Time  0.440353
2021-09-24 02:41:00.699014 : Epoch  2, Batch    277, Loss  1.446188, Average Loss  1.452303, Time  0.448955
2021-09-24 02:41:01.220148 : Epoch  2, Batch    313, Loss  1.448284, Average Loss  1.450525, Time  0.453408
2021-09-24 02:41:06.675864 : Epoch  2, Batch    278, Loss  1.449554, Average Loss  1.452268, Time  0.447034
2021-09-24 02:41:07.196121 : Epoch  2, Batch    314, Loss  1.441447, Average Loss  1.450487, Time  0.439836
2021-09-24 02:41:12.670381 : Epoch  2, Batch    279, Loss  1.445265, Average Loss  1.452224, Time  0.448771
2021-09-24 02:41:13.188121 : Epoch  2, Batch    315, Loss  1.441992, Average Loss  1.450471, Time  0.442160
2021-09-24 02:41:18.662120 : Epoch  2, Batch    280, Loss  1.449339, Average Loss  1.452174, Time  0.463263
2021-09-24 02:41:19.179343 : Epoch  2, Batch    316, Loss  1.464726, Average Loss  1.450513, Time  0.441254
2021-09-24 02:41:24.644593 : Epoch  2, Batch    281, Loss  1.447835, Average Loss  1.452238, Time  0.446492
2021-09-24 02:41:25.150164 : Epoch  2, Batch    317, Loss  1.471517, Average Loss  1.450616, Time  0.441092
2021-09-24 02:41:30.610664 : Epoch  2, Batch    282, Loss  1.456245, Average Loss  1.452273, Time  0.445410
2021-09-24 02:41:31.122091 : Epoch  2, Batch    318, Loss  1.453946, Average Loss  1.450666, Time  0.441378
2021-09-24 02:41:36.579278 : Epoch  2, Batch    283, Loss  1.454004, Average Loss  1.452333, Time  0.446857
2021-09-24 02:41:37.101534 : Epoch  2, Batch    319, Loss  1.455642, Average Loss  1.450660, Time  0.439224
2021-09-24 02:41:42.553907 : Epoch  2, Batch    284, Loss  1.461800, Average Loss  1.452306, Time  0.444056
2021-09-24 02:41:43.087704 : Epoch  2, Batch    320, Loss  1.436563, Average Loss  1.450572, Time  0.440784
2021-09-24 02:41:48.535007 : Epoch  2, Batch    285, Loss  1.456142, Average Loss  1.452328, Time  0.446038
2021-09-24 02:41:49.135861 : Epoch  2, Batch    321, Loss  1.458480, Average Loss  1.450584, Time  0.453335
2021-09-24 02:41:54.513949 : Epoch  2, Batch    286, Loss  1.458635, Average Loss  1.452372, Time  0.445574
2021-09-24 02:41:55.129168 : Epoch  2, Batch    322, Loss  1.454560, Average Loss  1.450639, Time  0.438249
2021-09-24 02:42:00.462970 : Epoch  2, Batch    287, Loss  1.457261, Average Loss  1.452376, Time  0.447539
2021-09-24 02:42:01.118888 : Epoch  2, Batch    323, Loss  1.448205, Average Loss  1.450614, Time  0.438858
2021-09-24 02:42:06.449358 : Epoch  2, Batch    288, Loss  1.454180, Average Loss  1.452429, Time  0.461907
2021-09-24 02:42:07.112759 : Epoch  2, Batch    324, Loss  1.466148, Average Loss  1.450693, Time  0.438582
2021-09-24 02:42:12.421928 : Epoch  2, Batch    289, Loss  1.462164, Average Loss  1.452478, Time  0.445068
2021-09-24 02:42:13.107414 : Epoch  2, Batch    325, Loss  1.452695, Average Loss  1.450701, Time  0.438781
2021-09-24 02:42:18.383148 : Epoch  2, Batch    290, Loss  1.452730, Average Loss  1.452488, Time  0.446047
2021-09-24 02:42:19.102833 : Epoch  2, Batch    326, Loss  1.446321, Average Loss  1.450748, Time  0.439207
2021-09-24 02:42:24.342149 : Epoch  2, Batch    291, Loss  1.453635, Average Loss  1.452465, Time  0.444393
2021-09-24 02:42:25.105544 : Epoch  2, Batch    327, Loss  1.450218, Average Loss  1.450765, Time  0.438633
2021-09-24 02:42:30.321030 : Epoch  2, Batch    292, Loss  1.448272, Average Loss  1.452394, Time  0.448104
2021-09-24 02:42:31.107663 : Epoch  2, Batch    328, Loss  1.452088, Average Loss  1.450745, Time  0.439430
2021-09-24 02:42:36.295308 : Epoch  2, Batch    293, Loss  1.436925, Average Loss  1.452253, Time  0.445258
2021-09-24 02:42:37.121873 : Epoch  2, Batch    329, Loss  1.461419, Average Loss  1.450807, Time  0.456229
2021-09-24 02:42:42.294796 : Epoch  2, Batch    294, Loss  1.458863, Average Loss  1.452301, Time  0.446998
2021-09-24 02:42:43.112272 : Epoch  2, Batch    330, Loss  1.456478, Average Loss  1.450815, Time  0.439458
2021-09-24 02:42:48.301738 : Epoch  2, Batch    295, Loss  1.459718, Average Loss  1.452346, Time  0.447495
2021-09-24 02:42:49.099100 : Epoch  2, Batch    331, Loss  1.438218, Average Loss  1.450791, Time  0.439645
2021-09-24 02:42:54.302011 : Epoch  2, Batch    296, Loss  1.459793, Average Loss  1.452398, Time  0.459234
2021-09-24 02:42:55.100249 : Epoch  2, Batch    332, Loss  1.453812, Average Loss  1.450822, Time  0.439891
2021-09-24 02:43:00.292852 : Epoch  2, Batch    297, Loss  1.454305, Average Loss  1.452424, Time  0.449406
2021-09-24 02:43:01.079615 : Epoch  2, Batch    333, Loss  1.441197, Average Loss  1.450830, Time  0.438711
2021-09-24 02:43:06.281331 : Epoch  2, Batch    298, Loss  1.447571, Average Loss  1.452450, Time  0.445801
2021-09-24 02:43:07.074485 : Epoch  2, Batch    334, Loss  1.451284, Average Loss  1.450881, Time  0.438708
2021-09-24 02:43:12.270415 : Epoch  2, Batch    299, Loss  1.462611, Average Loss  1.452492, Time  0.445768
2021-09-24 02:43:13.090426 : Epoch  2, Batch    335, Loss  1.453771, Average Loss  1.450938, Time  0.439304
2021-09-24 02:43:18.248034 : Epoch  2, Batch    300, Loss  1.451913, Average Loss  1.452497, Time  0.447003
2021-09-24 02:43:19.088319 : Epoch  2, Batch    336, Loss  1.440577, Average Loss  1.450868, Time  0.439570
2021-09-24 02:43:24.231352 : Epoch  2, Batch    301, Loss  1.452599, Average Loss  1.452490, Time  0.446219
2021-09-24 02:43:25.123142 : Epoch  2, Batch    337, Loss  1.454492, Average Loss  1.450872, Time  0.464499
2021-09-24 02:43:30.239453 : Epoch  2, Batch    302, Loss  1.465424, Average Loss  1.452581, Time  0.449365
2021-09-24 02:43:31.110659 : Epoch  2, Batch    338, Loss  1.436288, Average Loss  1.450810, Time  0.439891
2021-09-24 02:43:36.235235 : Epoch  2, Batch    303, Loss  1.473225, Average Loss  1.452680, Time  0.457934
2021-09-24 02:43:37.101861 : Epoch  2, Batch    339, Loss  1.445017, Average Loss  1.450724, Time  0.439659
2021-09-24 02:43:42.227050 : Epoch  2, Batch    304, Loss  1.460128, Average Loss  1.452753, Time  0.446177
2021-09-24 02:43:43.103893 : Epoch  2, Batch    340, Loss  1.446816, Average Loss  1.450626, Time  0.438673
2021-09-24 02:43:48.209881 : Epoch  2, Batch    305, Loss  1.448520, Average Loss  1.452765, Time  0.446374
2021-09-24 02:43:49.109539 : Epoch  2, Batch    341, Loss  1.461919, Average Loss  1.450720, Time  0.440799
2021-09-24 02:43:54.180879 : Epoch  2, Batch    306, Loss  1.462265, Average Loss  1.452780, Time  0.446954
2021-09-24 02:43:55.110118 : Epoch  2, Batch    342, Loss  1.457632, Average Loss  1.450783, Time  0.439598
2021-09-24 02:44:00.172110 : Epoch  2, Batch    307, Loss  1.452812, Average Loss  1.452800, Time  0.447222
2021-09-24 02:44:01.111469 : Epoch  2, Batch    343, Loss  1.446959, Average Loss  1.450780, Time  0.440453
2021-09-24 02:44:06.157033 : Epoch  2, Batch    308, Loss  1.441077, Average Loss  1.452749, Time  0.445751
2021-09-24 02:44:07.118031 : Epoch  2, Batch    344, Loss  1.448522, Average Loss  1.450754, Time  0.439680
2021-09-24 02:44:12.136943 : Epoch  2, Batch    309, Loss  1.453832, Average Loss  1.452716, Time  0.445730
2021-09-24 02:44:13.133533 : Epoch  2, Batch    345, Loss  1.449553, Average Loss  1.450730, Time  0.449598
2021-09-24 02:44:18.104651 : Epoch  2, Batch    310, Loss  1.452360, Average Loss  1.452702, Time  0.443676
2021-09-24 02:44:19.121241 : Epoch  2, Batch    346, Loss  1.445746, Average Loss  1.450731, Time  0.439289
2021-09-24 02:44:24.097751 : Epoch  2, Batch    311, Loss  1.447249, Average Loss  1.452610, Time  0.455658
2021-09-24 02:44:25.137432 : Epoch  2, Batch    347, Loss  1.457395, Average Loss  1.450777, Time  0.439131
2021-09-24 02:44:30.075638 : Epoch  2, Batch    312, Loss  1.441743, Average Loss  1.452587, Time  0.446651
2021-09-24 02:44:31.126640 : Epoch  2, Batch    348, Loss  1.447834, Average Loss  1.450816, Time  0.440174
2021-09-24 02:44:36.045930 : Epoch  2, Batch    313, Loss  1.449747, Average Loss  1.452584, Time  0.444336
2021-09-24 02:44:37.132880 : Epoch  2, Batch    349, Loss  1.448090, Average Loss  1.450814, Time  0.439325
2021-09-24 02:44:42.018573 : Epoch  2, Batch    314, Loss  1.446226, Average Loss  1.452581, Time  0.443279
2021-09-24 02:44:43.123449 : Epoch  2, Batch    350, Loss  1.442027, Average Loss  1.450694, Time  0.440403
2021-09-24 02:44:48.002306 : Epoch  2, Batch    315, Loss  1.454499, Average Loss  1.452573, Time  0.444282
2021-09-24 02:44:49.115444 : Epoch  2, Batch    351, Loss  1.452485, Average Loss  1.450740, Time  0.441220
2021-09-24 02:44:53.977421 : Epoch  2, Batch    316, Loss  1.455600, Average Loss  1.452603, Time  0.447297
2021-09-24 02:44:55.111372 : Epoch  2, Batch    352, Loss  1.450473, Average Loss  1.450720, Time  0.440476
2021-09-24 02:44:59.949290 : Epoch  2, Batch    317, Loss  1.447629, Average Loss  1.452596, Time  0.445016
2021-09-24 02:45:01.104866 : Epoch  2, Batch    353, Loss  1.445372, Average Loss  1.450637, Time  0.446723
2021-09-24 02:45:05.939245 : Epoch  2, Batch    318, Loss  1.458417, Average Loss  1.452660, Time  0.458625
2021-09-24 02:45:07.110297 : Epoch  2, Batch    354, Loss  1.446347, Average Loss  1.450609, Time  0.439060
2021-09-24 02:45:11.907911 : Epoch  2, Batch    319, Loss  1.454307, Average Loss  1.452644, Time  0.445299
2021-09-24 02:45:13.113183 : Epoch  2, Batch    355, Loss  1.459046, Average Loss  1.450636, Time  0.439719
2021-09-24 02:45:17.880048 : Epoch  2, Batch    320, Loss  1.458665, Average Loss  1.452618, Time  0.447090
2021-09-24 02:45:19.102752 : Epoch  2, Batch    356, Loss  1.458924, Average Loss  1.450740, Time  0.439448
2021-09-24 02:45:23.852753 : Epoch  2, Batch    321, Loss  1.446497, Average Loss  1.452595, Time  0.445222
2021-09-24 02:45:25.110809 : Epoch  2, Batch    357, Loss  1.445746, Average Loss  1.450757, Time  0.439193
2021-09-24 02:45:29.835409 : Epoch  2, Batch    322, Loss  1.451236, Average Loss  1.452585, Time  0.444703
2021-09-24 02:45:31.104597 : Epoch  2, Batch    358, Loss  1.456420, Average Loss  1.450789, Time  0.439264
2021-09-24 02:45:35.809821 : Epoch  2, Batch    323, Loss  1.452479, Average Loss  1.452531, Time  0.447137
2021-09-24 02:45:37.093507 : Epoch  2, Batch    359, Loss  1.458101, Average Loss  1.450859, Time  0.440869
2021-09-24 02:45:41.778302 : Epoch  2, Batch    324, Loss  1.450706, Average Loss  1.452467, Time  0.443813
2021-09-24 02:45:43.093810 : Epoch  2, Batch    360, Loss  1.458947, Average Loss  1.450862, Time  0.442465
2021-09-24 02:45:47.759335 : Epoch  2, Batch    325, Loss  1.451775, Average Loss  1.452449, Time  0.449061
2021-09-24 02:45:49.105221 : Epoch  2, Batch    361, Loss  1.447556, Average Loss  1.450806, Time  0.455153
2021-09-24 02:45:53.763805 : Epoch  2, Batch    326, Loss  1.449557, Average Loss  1.452453, Time  0.457129
2021-09-24 02:45:55.105428 : Epoch  2, Batch    362, Loss  1.444051, Average Loss  1.450741, Time  0.439462
2021-09-24 02:45:59.732436 : Epoch  2, Batch    327, Loss  1.447258, Average Loss  1.452440, Time  0.443898
2021-09-24 02:46:01.108291 : Epoch  2, Batch    363, Loss  1.451904, Average Loss  1.450750, Time  0.446263
2021-09-24 02:46:05.701904 : Epoch  2, Batch    328, Loss  1.446342, Average Loss  1.452411, Time  0.443959
2021-09-24 02:46:07.114744 : Epoch  2, Batch    364, Loss  1.449645, Average Loss  1.450763, Time  0.442177
2021-09-24 02:46:11.683813 : Epoch  2, Batch    329, Loss  1.452324, Average Loss  1.452385, Time  0.445997
2021-09-24 02:46:13.112859 : Epoch  2, Batch    365, Loss  1.447780, Average Loss  1.450828, Time  0.438809
2021-09-24 02:46:17.663623 : Epoch  2, Batch    330, Loss  1.443772, Average Loss  1.452416, Time  0.444100
2021-09-24 02:46:19.094218 : Epoch  2, Batch    366, Loss  1.444301, Average Loss  1.450781, Time  0.438941
2021-09-24 02:46:23.630919 : Epoch  2, Batch    331, Loss  1.461032, Average Loss  1.452425, Time  0.446450
2021-09-24 02:46:25.081900 : Epoch  2, Batch    367, Loss  1.449945, Average Loss  1.450766, Time  0.439843
2021-09-24 02:46:29.602351 : Epoch  2, Batch    332, Loss  1.451542, Average Loss  1.452398, Time  0.444564
2021-09-24 02:46:31.080829 : Epoch  2, Batch    368, Loss  1.452416, Average Loss  1.450804, Time  0.440019
2021-09-24 02:46:35.568488 : Epoch  2, Batch    333, Loss  1.451684, Average Loss  1.452507, Time  0.446193
2021-09-24 02:46:37.094234 : Epoch  2, Batch    369, Loss  1.454283, Average Loss  1.450770, Time  0.453902
2021-09-24 02:46:41.371330 : Epoch  2, Batch    334, Loss  1.458071, Average Loss  1.452487, Time  0.461211
2021-09-24 02:46:42.799093 : Epoch  2, Batch    370, Loss  1.439795, Average Loss  1.450686, Time  0.438083
2021-09-24 02:46:47.045344 : Epoch  2, Batch    335, Loss  1.454981, Average Loss  1.452532, Time  0.446560
2021-09-24 02:46:48.474404 : Epoch  2, Batch    371, Loss  1.451718, Average Loss  1.450622, Time  0.438794
2021-09-24 02:46:52.871416 : Epoch  2, Batch    336, Loss  1.462972, Average Loss  1.452617, Time  0.474344
2021-09-24 02:46:54.188001 : Epoch  2, Batch    372, Loss  1.446207, Average Loss  1.450587, Time  0.437942
2021-09-24 02:46:58.968388 : Epoch  2, Batch    337, Loss  1.441045, Average Loss  1.452597, Time  0.486192
2021-09-24 02:47:04.883057 : Epoch  2, Batch    338, Loss  1.454773, Average Loss  1.452556, Time  0.476388
2021-09-24 02:47:10.870560 : Epoch  2, Batch    339, Loss  1.446277, Average Loss  1.452623, Time  0.474523
2021-09-24 02:47:16.882766 : Epoch  2, Batch    340, Loss  1.459048, Average Loss  1.452681, Time  0.449928
2021-09-24 02:47:22.665690 : Epoch  2, Batch    341, Loss  1.458407, Average Loss  1.452733, Time  0.445628
2021-09-24 02:47:28.418849 : Epoch  2, Batch    342, Loss  1.443916, Average Loss  1.452680, Time  0.453268
2021-09-24 02:47:34.149765 : Epoch  2, Batch    343, Loss  1.447675, Average Loss  1.452668, Time  0.451342
2021-09-24 02:47:39.961399 : Epoch  2, Batch    344, Loss  1.444924, Average Loss  1.452631, Time  0.481456
2021-09-24 02:47:45.680145 : Epoch  2, Batch    345, Loss  1.450941, Average Loss  1.452629, Time  0.447327
2021-09-24 02:47:51.467971 : Epoch  2, Batch    346, Loss  1.456732, Average Loss  1.452678, Time  0.444100
2021-09-24 02:47:57.140378 : Epoch  2, Batch    347, Loss  1.456558, Average Loss  1.452668, Time  0.444533
2021-09-24 02:48:02.781979 : Epoch  2, Batch    348, Loss  1.447814, Average Loss  1.452646, Time  0.442988
2021-09-24 02:48:08.451799 : Epoch  2, Batch    349, Loss  1.444188, Average Loss  1.452594, Time  0.445381
2021-09-24 02:48:14.153412 : Epoch  2, Batch    350, Loss  1.451195, Average Loss  1.452629, Time  0.455206
2021-09-24 02:48:19.812369 : Epoch  2, Batch    351, Loss  1.460078, Average Loss  1.452655, Time  0.446751
2021-09-24 02:48:25.507351 : Epoch  2, Batch    352, Loss  1.431488, Average Loss  1.452586, Time  0.446014
2021-09-24 02:48:31.236821 : Epoch  2, Batch    353, Loss  1.451252, Average Loss  1.452581, Time  0.442327
2021-09-24 02:48:36.845388 : Epoch  2, Batch    354, Loss  1.440011, Average Loss  1.452520, Time  0.442005
2021-09-24 02:48:42.616530 : Epoch  2, Batch    355, Loss  1.451377, Average Loss  1.452448, Time  0.445136
2021-09-24 02:48:48.348118 : Epoch  2, Batch    356, Loss  1.442403, Average Loss  1.452337, Time  0.446557
2021-09-24 02:48:54.103778 : Epoch  2, Batch    357, Loss  1.443487, Average Loss  1.452334, Time  0.446431
2021-09-24 02:48:59.832115 : Epoch  2, Batch    358, Loss  1.451231, Average Loss  1.452334, Time  0.454175
2021-09-24 02:49:05.489170 : Epoch  2, Batch    359, Loss  1.449937, Average Loss  1.452313, Time  0.442518
2021-09-24 02:49:11.179105 : Epoch  2, Batch    360, Loss  1.453142, Average Loss  1.452309, Time  0.444927
2021-09-24 02:49:16.869804 : Epoch  2, Batch    361, Loss  1.458824, Average Loss  1.452340, Time  0.442609
2021-09-24 02:49:22.582519 : Epoch  2, Batch    362, Loss  1.449105, Average Loss  1.452292, Time  0.445120
2021-09-24 02:49:28.263633 : Epoch  2, Batch    363, Loss  1.448049, Average Loss  1.452244, Time  0.444096
2021-09-24 02:49:33.942491 : Epoch  2, Batch    364, Loss  1.449046, Average Loss  1.452276, Time  0.441700
2021-09-24 02:49:39.594969 : Epoch  2, Batch    365, Loss  1.448869, Average Loss  1.452268, Time  0.446888
2021-09-24 02:49:45.289520 : Epoch  2, Batch    366, Loss  1.455301, Average Loss  1.452208, Time  0.452460
2021-09-24 02:49:51.023994 : Epoch  2, Batch    367, Loss  1.477090, Average Loss  1.452378, Time  0.442793
2021-09-24 02:49:56.771343 : Epoch  2, Batch    368, Loss  1.458793, Average Loss  1.452344, Time  0.444938
2021-09-24 02:50:02.544981 : Epoch  2, Batch    369, Loss  1.445877, Average Loss  1.452311, Time  0.445939
2021-09-24 02:50:08.230405 : Epoch  2, Batch    370, Loss  1.454763, Average Loss  1.452375, Time  0.442257
2021-09-24 02:50:13.902980 : Epoch  2, Batch    371, Loss  1.448300, Average Loss  1.452290, Time  0.443796
2021-09-24 02:50:19.546949 : Epoch  2, Batch    372, Loss  1.449830, Average Loss  1.452244, Time  0.445169
2021-09-24 02:51:18.049367 : CheckPoint: Validation Loss  0.00025020, Best Loss  0.00024773
2021-09-24 02:51:23.845831 : Epoch  2, Batch    373, Loss  1.441491, Average Loss  1.450565, Time  0.455596
2021-09-24 02:51:29.682200 : Epoch  2, Batch    374, Loss  1.457959, Average Loss  1.450604, Time  0.439465
2021-09-24 02:51:35.397116 : Epoch  2, Batch    375, Loss  1.449375, Average Loss  1.450659, Time  0.437660
2021-09-24 02:51:41.152896 : Epoch  2, Batch    376, Loss  1.455279, Average Loss  1.450766, Time  0.439464
2021-09-24 02:51:46.955028 : Epoch  2, Batch    377, Loss  1.455122, Average Loss  1.450842, Time  0.438504
2021-09-24 02:51:52.727024 : Epoch  2, Batch    378, Loss  1.445114, Average Loss  1.450837, Time  0.439650
2021-09-24 02:51:58.553192 : Epoch  2, Batch    379, Loss  1.457765, Average Loss  1.450918, Time  0.439265
2021-09-24 02:52:04.490029 : Epoch  2, Batch    380, Loss  1.450779, Average Loss  1.450881, Time  0.440501
2021-09-24 02:52:10.281787 : Epoch  2, Batch    381, Loss  1.458588, Average Loss  1.450946, Time  0.445236
2021-09-24 02:52:16.151986 : Epoch  2, Batch    382, Loss  1.448049, Average Loss  1.450945, Time  0.438075
2021-09-24 02:52:21.969153 : Epoch  2, Batch    383, Loss  1.441993, Average Loss  1.450938, Time  0.438927
2021-09-24 02:52:27.719878 : Epoch  2, Batch    384, Loss  1.454887, Average Loss  1.451001, Time  0.437741
2021-09-24 02:52:33.444284 : Epoch  2, Batch    385, Loss  1.449421, Average Loss  1.450950, Time  0.438233
2021-09-24 02:52:39.289471 : Epoch  2, Batch    386, Loss  1.460946, Average Loss  1.450952, Time  0.437862
2021-09-24 02:52:45.038322 : Epoch  2, Batch    387, Loss  1.460215, Average Loss  1.451027, Time  0.437711
2021-09-24 02:52:50.805462 : Epoch  2, Batch    388, Loss  1.436558, Average Loss  1.450951, Time  0.438832
2021-09-24 02:52:56.612495 : Epoch  2, Batch    389, Loss  1.444454, Average Loss  1.450912, Time  0.456204
2021-09-24 02:53:02.376711 : Epoch  2, Batch    390, Loss  1.452095, Average Loss  1.450903, Time  0.439312
2021-09-24 02:53:08.392151 : Epoch  2, Batch    391, Loss  1.439994, Average Loss  1.450818, Time  0.468313
2021-09-24 02:53:14.286778 : Epoch  2, Batch    392, Loss  1.448919, Average Loss  1.450752, Time  0.440222
2021-09-24 02:53:20.039914 : Epoch  2, Batch    393, Loss  1.461513, Average Loss  1.450820, Time  0.438392
2021-09-24 02:53:25.860484 : Epoch  2, Batch    394, Loss  1.446772, Average Loss  1.450776, Time  0.439022
2021-09-24 02:53:31.613317 : Epoch  2, Batch    395, Loss  1.446714, Average Loss  1.450725, Time  0.439250
2021-09-24 02:53:37.366120 : Epoch  2, Batch    396, Loss  1.439597, Average Loss  1.450679, Time  0.438334
2021-09-24 02:53:43.135194 : Epoch  2, Batch    397, Loss  1.469510, Average Loss  1.450774, Time  0.449774
2021-09-24 02:53:48.867921 : Epoch  2, Batch    398, Loss  1.455254, Average Loss  1.450804, Time  0.438731
2021-09-24 02:53:54.658323 : Epoch  2, Batch    399, Loss  1.445796, Average Loss  1.450808, Time  0.437066
2021-09-24 02:54:00.411216 : Epoch  2, Batch    400, Loss  1.453929, Average Loss  1.450835, Time  0.438974
2021-09-24 02:54:06.197485 : Epoch  2, Batch    401, Loss  1.446120, Average Loss  1.450824, Time  0.439945
2021-09-24 02:54:12.066211 : Epoch  2, Batch    402, Loss  1.466903, Average Loss  1.450867, Time  0.437196
2021-09-24 02:54:17.767556 : Epoch  2, Batch    403, Loss  1.457337, Average Loss  1.450863, Time  0.437637
2021-09-24 02:54:23.537571 : Epoch  2, Batch    404, Loss  1.453833, Average Loss  1.450784, Time  0.439165
2021-09-24 02:54:29.325472 : Epoch  2, Batch    405, Loss  1.438378, Average Loss  1.450746, Time  0.446068
2021-09-24 02:54:35.196888 : Epoch  2, Batch    406, Loss  1.453665, Average Loss  1.450796, Time  0.438003
2021-09-24 02:54:40.933644 : Epoch  2, Batch    407, Loss  1.455154, Average Loss  1.450793, Time  0.438162
2021-09-24 02:54:46.700134 : Epoch  2, Batch    408, Loss  1.453211, Average Loss  1.450747, Time  0.437820
2021-09-24 02:54:52.005683 : CheckPoint: Validation Loss  0.00025080, Best Loss  0.00024635
2021-09-24 02:54:52.404720 : Epoch  2, Batch    409, Loss  1.446016, Average Loss  1.450717, Time  0.438817
2021-09-24 02:54:57.802102 : Epoch  2, Batch    373, Loss  1.453067, Average Loss  1.452226, Time  0.447753
2021-09-24 02:54:58.177336 : Epoch  2, Batch    410, Loss  1.454440, Average Loss  1.450770, Time  0.439957
2021-09-24 02:55:03.692137 : Epoch  2, Batch    374, Loss  1.465573, Average Loss  1.452264, Time  0.446450
2021-09-24 02:55:03.986415 : Epoch  2, Batch    411, Loss  1.441774, Average Loss  1.450754, Time  0.440253
2021-09-24 02:55:09.463863 : Epoch  2, Batch    375, Loss  1.451935, Average Loss  1.452205, Time  0.455976
2021-09-24 02:55:09.678738 : Epoch  2, Batch    412, Loss  1.450254, Average Loss  1.450726, Time  0.438730
2021-09-24 02:55:15.315879 : Epoch  2, Batch    376, Loss  1.443274, Average Loss  1.452203, Time  0.445347
2021-09-24 02:55:15.492675 : Epoch  2, Batch    413, Loss  1.448876, Average Loss  1.450753, Time  0.455275
2021-09-24 02:55:21.211958 : Epoch  2, Batch    377, Loss  1.454353, Average Loss  1.452161, Time  0.444163
2021-09-24 02:55:21.333366 : Epoch  2, Batch    414, Loss  1.439882, Average Loss  1.450809, Time  0.439448
2021-09-24 02:55:27.061089 : Epoch  2, Batch    378, Loss  1.446392, Average Loss  1.452108, Time  0.444448
2021-09-24 02:55:27.132956 : Epoch  2, Batch    415, Loss  1.453234, Average Loss  1.450843, Time  0.438217
2021-09-24 02:55:33.009082 : Epoch  2, Batch    379, Loss  1.448261, Average Loss  1.452129, Time  0.443121
2021-09-24 02:55:33.043837 : Epoch  2, Batch    416, Loss  1.441275, Average Loss  1.450870, Time  0.438667
2021-09-24 02:55:38.804087 : Epoch  2, Batch    380, Loss  1.449179, Average Loss  1.452136, Time  0.444767
2021-09-24 02:55:38.838925 : Epoch  2, Batch    417, Loss  1.455203, Average Loss  1.450883, Time  0.439486
2021-09-24 02:55:44.646445 : Epoch  2, Batch    418, Loss  1.449903, Average Loss  1.450922, Time  0.438324
2021-09-24 02:55:44.684136 : Epoch  2, Batch    381, Loss  1.458499, Average Loss  1.452132, Time  0.443110
2021-09-24 02:55:50.374874 : Epoch  2, Batch    419, Loss  1.447973, Average Loss  1.450925, Time  0.440035
2021-09-24 02:55:50.441952 : Epoch  2, Batch    382, Loss  1.455458, Average Loss  1.452089, Time  0.444873
2021-09-24 02:55:56.122422 : Epoch  2, Batch    420, Loss  1.448227, Average Loss  1.450970, Time  0.439304
2021-09-24 02:55:56.229890 : Epoch  2, Batch    383, Loss  1.450307, Average Loss  1.452068, Time  0.458260
2021-09-24 02:56:01.917481 : Epoch  2, Batch    421, Loss  1.454885, Average Loss  1.451007, Time  0.447481
2021-09-24 02:56:02.046813 : Epoch  2, Batch    384, Loss  1.447237, Average Loss  1.452008, Time  0.443484
2021-09-24 02:56:07.653982 : Epoch  2, Batch    422, Loss  1.440044, Average Loss  1.450924, Time  0.438008
2021-09-24 02:56:07.811781 : Epoch  2, Batch    385, Loss  1.444018, Average Loss  1.451898, Time  0.444519
2021-09-24 02:56:13.385331 : Epoch  2, Batch    423, Loss  1.454975, Average Loss  1.451005, Time  0.438411
2021-09-24 02:56:13.546814 : Epoch  2, Batch    386, Loss  1.453966, Average Loss  1.451904, Time  0.444268
2021-09-24 02:56:19.262930 : Epoch  2, Batch    424, Loss  1.446357, Average Loss  1.450922, Time  0.438070
2021-09-24 02:56:19.451776 : Epoch  2, Batch    387, Loss  1.459656, Average Loss  1.451913, Time  0.444928
2021-09-24 02:56:25.052852 : Epoch  2, Batch    425, Loss  1.442990, Average Loss  1.450911, Time  0.439566
2021-09-24 02:56:25.275344 : Epoch  2, Batch    388, Loss  1.437335, Average Loss  1.451806, Time  0.445470
2021-09-24 02:56:30.838518 : Epoch  2, Batch    426, Loss  1.446446, Average Loss  1.450900, Time  0.437362
2021-09-24 02:56:31.105956 : Epoch  2, Batch    389, Loss  1.452241, Average Loss  1.451824, Time  0.444363
2021-09-24 02:56:36.729466 : Epoch  2, Batch    427, Loss  1.465929, Average Loss  1.450959, Time  0.438307
2021-09-24 02:56:37.041668 : Epoch  2, Batch    390, Loss  1.455184, Average Loss  1.451812, Time  0.444387
2021-09-24 02:56:42.476774 : Epoch  2, Batch    428, Loss  1.449867, Average Loss  1.450895, Time  0.438115
2021-09-24 02:56:42.854299 : Epoch  2, Batch    391, Loss  1.456942, Average Loss  1.451863, Time  0.459664
2021-09-24 02:56:48.251871 : Epoch  2, Batch    429, Loss  1.449111, Average Loss  1.450908, Time  0.454824
2021-09-24 02:56:48.653848 : Epoch  2, Batch    392, Loss  1.451763, Average Loss  1.451821, Time  0.446382
2021-09-24 02:56:54.087178 : Epoch  2, Batch    430, Loss  1.438224, Average Loss  1.450828, Time  0.438212
2021-09-24 02:56:54.510184 : Epoch  2, Batch    393, Loss  1.436735, Average Loss  1.451696, Time  0.442334
2021-09-24 02:56:59.842252 : Epoch  2, Batch    431, Loss  1.453222, Average Loss  1.450726, Time  0.439279
2021-09-24 02:57:00.302134 : Epoch  2, Batch    394, Loss  1.443292, Average Loss  1.451563, Time  0.445374
2021-09-24 02:57:05.583143 : Epoch  2, Batch    432, Loss  1.452964, Average Loss  1.450789, Time  0.437012
2021-09-24 02:57:06.086356 : Epoch  2, Batch    395, Loss  1.436469, Average Loss  1.451397, Time  0.442365
2021-09-24 02:57:11.373979 : Epoch  2, Batch    433, Loss  1.445082, Average Loss  1.450796, Time  0.439128
2021-09-24 02:57:11.907298 : Epoch  2, Batch    396, Loss  1.454412, Average Loss  1.451449, Time  0.443079
2021-09-24 02:57:17.293344 : Epoch  2, Batch    434, Loss  1.442455, Average Loss  1.450754, Time  0.442317
2021-09-24 02:57:17.853631 : Epoch  2, Batch    397, Loss  1.441154, Average Loss  1.451432, Time  0.447135
2021-09-24 02:57:23.188785 : Epoch  2, Batch    435, Loss  1.441997, Average Loss  1.450801, Time  0.439546
2021-09-24 02:57:23.739184 : Epoch  2, Batch    398, Loss  1.453636, Average Loss  1.451533, Time  0.443076
2021-09-24 02:57:28.932754 : Epoch  2, Batch    436, Loss  1.454577, Average Loss  1.450831, Time  0.438408
2021-09-24 02:57:29.523989 : Epoch  2, Batch    399, Loss  1.447599, Average Loss  1.451546, Time  0.455272
2021-09-24 02:57:34.721966 : Epoch  2, Batch    437, Loss  1.458120, Average Loss  1.450877, Time  0.455396
2021-09-24 02:57:35.373163 : Epoch  2, Batch    400, Loss  1.453407, Average Loss  1.451594, Time  0.445156
2021-09-24 02:57:40.468216 : Epoch  2, Batch    438, Loss  1.443877, Average Loss  1.450834, Time  0.438537
2021-09-24 02:57:41.196871 : Epoch  2, Batch    401, Loss  1.446565, Average Loss  1.451598, Time  0.445337
2021-09-24 02:57:46.222601 : Epoch  2, Batch    439, Loss  1.452713, Average Loss  1.450869, Time  0.438468
2021-09-24 02:57:47.013494 : Epoch  2, Batch    402, Loss  1.448265, Average Loss  1.451534, Time  0.444415
2021-09-24 02:57:52.018916 : Epoch  2, Batch    440, Loss  1.439196, Average Loss  1.450811, Time  0.439806
2021-09-24 02:57:52.864880 : Epoch  2, Batch    403, Loss  1.441765, Average Loss  1.451486, Time  0.444570
2021-09-24 02:57:57.863998 : Epoch  2, Batch    441, Loss  1.441809, Average Loss  1.450735, Time  0.438207
2021-09-24 02:57:58.742811 : Epoch  2, Batch    404, Loss  1.448572, Average Loss  1.451493, Time  0.445276
2021-09-24 02:58:03.611319 : Epoch  2, Batch    442, Loss  1.445456, Average Loss  1.450768, Time  0.438718
2021-09-24 02:58:04.532004 : Epoch  2, Batch    405, Loss  1.458564, Average Loss  1.451579, Time  0.443832
2021-09-24 02:58:09.495062 : Epoch  2, Batch    443, Loss  1.438702, Average Loss  1.450719, Time  0.438664
2021-09-24 02:58:10.514469 : Epoch  2, Batch    406, Loss  1.455102, Average Loss  1.451739, Time  0.445659
2021-09-24 02:58:15.385017 : Epoch  2, Batch    444, Loss  1.453048, Average Loss  1.450742, Time  0.440101
2021-09-24 02:58:16.511066 : Epoch  2, Batch    407, Loss  1.444923, Average Loss  1.451642, Time  0.455966
2021-09-24 02:58:21.225809 : Epoch  2, Batch    445, Loss  1.441833, Average Loss  1.450703, Time  0.451457
2021-09-24 02:58:22.370189 : Epoch  2, Batch    408, Loss  1.445792, Average Loss  1.451599, Time  0.443407
2021-09-24 02:58:27.140017 : Epoch  2, Batch    446, Loss  1.437432, Average Loss  1.450642, Time  0.440603
2021-09-24 02:58:28.282177 : Epoch  2, Batch    409, Loss  1.464011, Average Loss  1.451662, Time  0.445720
2021-09-24 02:58:32.903516 : Epoch  2, Batch    447, Loss  1.457428, Average Loss  1.450678, Time  0.439226
2021-09-24 02:58:34.080243 : Epoch  2, Batch    410, Loss  1.448397, Average Loss  1.451662, Time  0.443364
2021-09-24 02:58:38.671496 : Epoch  2, Batch    448, Loss  1.455240, Average Loss  1.450691, Time  0.437800
2021-09-24 02:58:39.889047 : Epoch  2, Batch    411, Loss  1.446796, Average Loss  1.451691, Time  0.442898
2021-09-24 02:58:44.473737 : Epoch  2, Batch    449, Loss  1.469360, Average Loss  1.450786, Time  0.439358
2021-09-24 02:58:45.764915 : Epoch  2, Batch    412, Loss  1.443622, Average Loss  1.451649, Time  0.443782
2021-09-24 02:58:50.334369 : Epoch  2, Batch    450, Loss  1.437433, Average Loss  1.450730, Time  0.438389
2021-09-24 02:58:51.626509 : Epoch  2, Batch    413, Loss  1.433721, Average Loss  1.451582, Time  0.445778
2021-09-24 02:58:56.112785 : Epoch  2, Batch    451, Loss  1.460812, Average Loss  1.450790, Time  0.437677
2021-09-24 02:58:57.402047 : Epoch  2, Batch    414, Loss  1.433306, Average Loss  1.451515, Time  0.442602
2021-09-24 02:59:01.906996 : Epoch  2, Batch    452, Loss  1.451417, Average Loss  1.450814, Time  0.439927
2021-09-24 02:59:03.306128 : Epoch  2, Batch    415, Loss  1.447211, Average Loss  1.451475, Time  0.456364
2021-09-24 02:59:07.702345 : Epoch  2, Batch    453, Loss  1.456565, Average Loss  1.450860, Time  0.449801
2021-09-24 02:59:09.061842 : Epoch  2, Batch    416, Loss  1.451495, Average Loss  1.451462, Time  0.443123
2021-09-24 02:59:13.508819 : Epoch  2, Batch    454, Loss  1.445977, Average Loss  1.450828, Time  0.438112
2021-09-24 02:59:15.027244 : Epoch  2, Batch    417, Loss  1.445598, Average Loss  1.451456, Time  0.444527
2021-09-24 02:59:19.301736 : Epoch  2, Batch    455, Loss  1.461273, Average Loss  1.450842, Time  0.437778
2021-09-24 02:59:20.846125 : Epoch  2, Batch    418, Loss  1.456661, Average Loss  1.451418, Time  0.446188
2021-09-24 02:59:25.122491 : Epoch  2, Batch    456, Loss  1.456792, Average Loss  1.450828, Time  0.440210
2021-09-24 02:59:26.721962 : Epoch  2, Batch    419, Loss  1.447060, Average Loss  1.451399, Time  0.443863
2021-09-24 02:59:30.900060 : Epoch  2, Batch    457, Loss  1.457500, Average Loss  1.450846, Time  0.437943
2021-09-24 02:59:32.538141 : Epoch  2, Batch    420, Loss  1.464344, Average Loss  1.451528, Time  0.445506
2021-09-24 02:59:36.664443 : Epoch  2, Batch    458, Loss  1.448450, Average Loss  1.450819, Time  0.438929
2021-09-24 02:59:38.399529 : Epoch  2, Batch    421, Loss  1.448533, Average Loss  1.451485, Time  0.444308
2021-09-24 02:59:42.476210 : Epoch  2, Batch    459, Loss  1.448739, Average Loss  1.450826, Time  0.437767
2021-09-24 02:59:44.220120 : Epoch  2, Batch    422, Loss  1.441849, Average Loss  1.451397, Time  0.443714
2021-09-24 02:59:48.337278 : Epoch  2, Batch    460, Loss  1.440984, Average Loss  1.450779, Time  0.437991
2021-09-24 02:59:50.170523 : Epoch  2, Batch    423, Loss  1.434929, Average Loss  1.451300, Time  0.461932
2021-09-24 02:59:54.154609 : Epoch  2, Batch    461, Loss  1.449762, Average Loss  1.450785, Time  0.450308
2021-09-24 02:59:56.004402 : Epoch  2, Batch    424, Loss  1.448946, Average Loss  1.451266, Time  0.442303
2021-09-24 02:59:59.905028 : Epoch  2, Batch    462, Loss  1.438916, Average Loss  1.450717, Time  0.438362
2021-09-24 03:00:01.816052 : Epoch  2, Batch    425, Loss  1.454053, Average Loss  1.451280, Time  0.444246
2021-09-24 03:00:05.724978 : Epoch  2, Batch    463, Loss  1.456733, Average Loss  1.450840, Time  0.438098
2021-09-24 03:00:07.628021 : Epoch  2, Batch    426, Loss  1.449359, Average Loss  1.451305, Time  0.445542
2021-09-24 03:00:11.514357 : Epoch  2, Batch    464, Loss  1.449123, Average Loss  1.450828, Time  0.437639
2021-09-24 03:00:13.455790 : Epoch  2, Batch    427, Loss  1.451628, Average Loss  1.451256, Time  0.442812
2021-09-24 03:00:17.262595 : Epoch  2, Batch    465, Loss  1.450579, Average Loss  1.450824, Time  0.436563
2021-09-24 03:00:19.248811 : Epoch  2, Batch    428, Loss  1.450182, Average Loss  1.451223, Time  0.443934
2021-09-24 03:00:23.068297 : Epoch  2, Batch    466, Loss  1.453057, Average Loss  1.450875, Time  0.438883
2021-09-24 03:00:25.165806 : Epoch  2, Batch    429, Loss  1.460521, Average Loss  1.451240, Time  0.446369
2021-09-24 03:00:28.864369 : Epoch  2, Batch    467, Loss  1.441089, Average Loss  1.450839, Time  0.438078
2021-09-24 03:00:30.932679 : Epoch  2, Batch    430, Loss  1.451433, Average Loss  1.451256, Time  0.443946
2021-09-24 03:00:34.658053 : Epoch  2, Batch    468, Loss  1.450038, Average Loss  1.450769, Time  0.438360
2021-09-24 03:00:36.791769 : Epoch  2, Batch    431, Loss  1.466509, Average Loss  1.451309, Time  0.460592
2021-09-24 03:00:40.384291 : Epoch  2, Batch    469, Loss  1.457188, Average Loss  1.450833, Time  0.452739
2021-09-24 03:00:42.569782 : Epoch  2, Batch    432, Loss  1.446521, Average Loss  1.451264, Time  0.443841
2021-09-24 03:00:46.169962 : Epoch  2, Batch    470, Loss  1.444489, Average Loss  1.450821, Time  0.440203
2021-09-24 03:00:48.503559 : Epoch  2, Batch    433, Loss  1.449867, Average Loss  1.451225, Time  0.447050
2021-09-24 03:00:52.126129 : Epoch  2, Batch    471, Loss  1.449519, Average Loss  1.450755, Time  0.439334
2021-09-24 03:00:54.403997 : Epoch  2, Batch    434, Loss  1.437373, Average Loss  1.451165, Time  0.445746
2021-09-24 03:00:57.902907 : Epoch  2, Batch    472, Loss  1.454287, Average Loss  1.450799, Time  0.440012
2021-09-24 03:01:00.297699 : Epoch  2, Batch    435, Loss  1.454986, Average Loss  1.451141, Time  0.446221
2021-09-24 03:01:06.098051 : Epoch  2, Batch    436, Loss  1.449590, Average Loss  1.451169, Time  0.443814
2021-09-24 03:01:12.050024 : Epoch  2, Batch    437, Loss  1.464958, Average Loss  1.451204, Time  0.455338
2021-09-24 03:01:17.882753 : Epoch  2, Batch    438, Loss  1.446483, Average Loss  1.451211, Time  0.446178
2021-09-24 03:01:23.701775 : Epoch  2, Batch    439, Loss  1.436849, Average Loss  1.451136, Time  0.455756
2021-09-24 03:01:29.533071 : Epoch  2, Batch    440, Loss  1.453491, Average Loss  1.451108, Time  0.445076
2021-09-24 03:01:35.367740 : Epoch  2, Batch    441, Loss  1.450526, Average Loss  1.451138, Time  0.444313
2021-09-24 03:01:41.169694 : Epoch  2, Batch    442, Loss  1.452662, Average Loss  1.451106, Time  0.445637
2021-09-24 03:01:46.974803 : Epoch  2, Batch    443, Loss  1.460271, Average Loss  1.451131, Time  0.443021
2021-09-24 03:01:52.815416 : Epoch  2, Batch    444, Loss  1.451311, Average Loss  1.451112, Time  0.443036
2021-09-24 03:01:58.578634 : Epoch  2, Batch    445, Loss  1.457598, Average Loss  1.451160, Time  0.446018
2021-09-24 03:02:04.474486 : Epoch  2, Batch    446, Loss  1.440190, Average Loss  1.451115, Time  0.443298
2021-09-24 03:02:10.290762 : Epoch  2, Batch    447, Loss  1.444114, Average Loss  1.451138, Time  0.456400
2021-09-24 03:02:16.185222 : Epoch  2, Batch    448, Loss  1.439291, Average Loss  1.451103, Time  0.446944
2021-09-24 03:02:21.984828 : Epoch  2, Batch    449, Loss  1.446667, Average Loss  1.451070, Time  0.443467
2021-09-24 03:02:27.825497 : Epoch  2, Batch    450, Loss  1.448879, Average Loss  1.451095, Time  0.445296
2021-09-24 03:02:33.599217 : Epoch  2, Batch    451, Loss  1.453012, Average Loss  1.451046, Time  0.445217
2021-09-24 03:02:39.478572 : Epoch  2, Batch    452, Loss  1.456085, Average Loss  1.451003, Time  0.446236
2021-09-24 03:02:45.390200 : Epoch  2, Batch    453, Loss  1.466037, Average Loss  1.451088, Time  0.443410
2021-09-24 03:02:51.235486 : Epoch  2, Batch    454, Loss  1.459629, Average Loss  1.451095, Time  0.442485
2021-09-24 03:02:57.017239 : Epoch  2, Batch    455, Loss  1.459288, Average Loss  1.451082, Time  0.459295
2021-09-24 03:03:02.808409 : Epoch  2, Batch    456, Loss  1.451631, Average Loss  1.451091, Time  0.443484
2021-09-24 03:03:08.698687 : Epoch  2, Batch    457, Loss  1.444623, Average Loss  1.451105, Time  0.444328
2021-09-24 03:03:14.492823 : Epoch  2, Batch    458, Loss  1.460972, Average Loss  1.451200, Time  0.443492
2021-09-24 03:03:20.332329 : Epoch  2, Batch    459, Loss  1.440293, Average Loss  1.451078, Time  0.443248
2021-09-24 03:03:26.117961 : Epoch  2, Batch    460, Loss  1.448701, Average Loss  1.451048, Time  0.442323
2021-09-24 03:03:31.899032 : Epoch  2, Batch    461, Loss  1.452623, Average Loss  1.451080, Time  0.443846
2021-09-24 03:03:37.694784 : Epoch  2, Batch    462, Loss  1.453384, Average Loss  1.451139, Time  0.443072
2021-09-24 03:03:43.487922 : Epoch  2, Batch    463, Loss  1.458958, Average Loss  1.451187, Time  0.460306
2021-09-24 03:03:49.420435 : Epoch  2, Batch    464, Loss  1.450880, Average Loss  1.451167, Time  0.446146
2021-09-24 03:03:55.367957 : Epoch  2, Batch    465, Loss  1.450526, Average Loss  1.451177, Time  0.444058
2021-09-24 03:04:01.211292 : Epoch  2, Batch    466, Loss  1.457958, Average Loss  1.451248, Time  0.443132
2021-09-24 03:04:07.007938 : Epoch  2, Batch    467, Loss  1.444945, Average Loss  1.451226, Time  0.442813
2021-09-24 03:04:12.829240 : Epoch  2, Batch    468, Loss  1.449201, Average Loss  1.451203, Time  0.444128
2021-09-24 03:04:18.653887 : Epoch  2, Batch    469, Loss  1.455257, Average Loss  1.451174, Time  0.444191
2021-09-24 03:04:24.524110 : Epoch  2, Batch    470, Loss  1.456351, Average Loss  1.451209, Time  0.442778
2021-09-24 03:04:30.359958 : Epoch  2, Batch    471, Loss  1.455361, Average Loss  1.451229, Time  0.455881
2021-09-24 03:04:36.305388 : Epoch  2, Batch    472, Loss  1.452888, Average Loss  1.451236, Time  0.446326
2021-09-24 03:05:27.460265 : CheckPoint: Validation Loss  0.00025126, Best Loss  0.00024773
2021-09-24 03:05:33.154639 : Epoch  2, Batch    473, Loss  1.462480, Average Loss  1.450840, Time  0.437657
2021-09-24 03:05:38.946435 : Epoch  2, Batch    474, Loss  1.431489, Average Loss  1.450741, Time  0.439073
2021-09-24 03:05:44.716501 : Epoch  2, Batch    475, Loss  1.438794, Average Loss  1.450797, Time  0.437451
2021-09-24 03:05:50.411049 : Epoch  2, Batch    476, Loss  1.445990, Average Loss  1.450723, Time  0.438007
2021-09-24 03:05:56.182261 : Epoch  2, Batch    477, Loss  1.443583, Average Loss  1.450657, Time  0.438571
2021-09-24 03:06:01.974950 : Epoch  2, Batch    478, Loss  1.450366, Average Loss  1.450645, Time  0.438920
2021-09-24 03:06:07.808469 : Epoch  2, Batch    479, Loss  1.443184, Average Loss  1.450633, Time  0.453413
2021-09-24 03:06:13.553689 : Epoch  2, Batch    480, Loss  1.462520, Average Loss  1.450666, Time  0.438426
2021-09-24 03:06:19.354869 : Epoch  2, Batch    481, Loss  1.453283, Average Loss  1.450652, Time  0.438453
2021-09-24 03:06:25.133178 : Epoch  2, Batch    482, Loss  1.460048, Average Loss  1.450670, Time  0.437544
2021-09-24 03:06:30.911116 : Epoch  2, Batch    483, Loss  1.446060, Average Loss  1.450645, Time  0.438988
2021-09-24 03:06:36.671465 : Epoch  2, Batch    484, Loss  1.435456, Average Loss  1.450517, Time  0.437901
2021-09-24 03:06:42.437013 : Epoch  2, Batch    485, Loss  1.451266, Average Loss  1.450569, Time  0.438720
2021-09-24 03:06:48.189934 : Epoch  2, Batch    486, Loss  1.445171, Average Loss  1.450525, Time  0.438493
2021-09-24 03:06:53.984658 : Epoch  2, Batch    487, Loss  1.445634, Average Loss  1.450463, Time  0.448842
2021-09-24 03:06:59.805103 : Epoch  2, Batch    488, Loss  1.439579, Average Loss  1.450386, Time  0.437787
2021-09-24 03:07:05.636426 : Epoch  2, Batch    489, Loss  1.440733, Average Loss  1.450320, Time  0.438371
2021-09-24 03:07:11.455341 : Epoch  2, Batch    490, Loss  1.454766, Average Loss  1.450306, Time  0.438674
2021-09-24 03:07:17.327300 : Epoch  2, Batch    491, Loss  1.454975, Average Loss  1.450321, Time  0.437515
2021-09-24 03:07:23.078913 : Epoch  2, Batch    492, Loss  1.450630, Average Loss  1.450262, Time  0.438579
2021-09-24 03:07:28.827752 : Epoch  2, Batch    493, Loss  1.444001, Average Loss  1.450207, Time  0.438201
2021-09-24 03:07:34.622664 : Epoch  2, Batch    494, Loss  1.443118, Average Loss  1.450119, Time  0.438480
2021-09-24 03:07:40.442202 : Epoch  2, Batch    495, Loss  1.446960, Average Loss  1.450093, Time  0.448921
2021-09-24 03:07:46.239454 : Epoch  2, Batch    496, Loss  1.438260, Average Loss  1.450007, Time  0.439710
2021-09-24 03:07:52.044266 : Epoch  2, Batch    497, Loss  1.456380, Average Loss  1.449985, Time  0.438339
2021-09-24 03:07:57.847527 : Epoch  2, Batch    498, Loss  1.459958, Average Loss  1.450083, Time  0.439711
2021-09-24 03:08:03.666214 : Epoch  2, Batch    499, Loss  1.444555, Average Loss  1.450043, Time  0.438392
2021-09-24 03:08:09.486225 : Epoch  2, Batch    500, Loss  1.440792, Average Loss  1.449973, Time  0.437889
2021-09-24 03:08:15.286830 : Epoch  2, Batch    501, Loss  1.460536, Average Loss  1.449979, Time  0.438808
2021-09-24 03:08:21.140645 : Epoch  2, Batch    502, Loss  1.440361, Average Loss  1.449991, Time  0.438880
2021-09-24 03:08:26.936703 : Epoch  2, Batch    503, Loss  1.447681, Average Loss  1.449971, Time  0.446395
2021-09-24 03:08:32.709693 : Epoch  2, Batch    504, Loss  1.455767, Average Loss  1.450013, Time  0.439119
2021-09-24 03:08:38.507777 : Epoch  2, Batch    505, Loss  1.454253, Average Loss  1.450032, Time  0.439457
2021-09-24 03:08:44.316431 : Epoch  2, Batch    506, Loss  1.443632, Average Loss  1.449983, Time  0.438167
2021-09-24 03:08:50.207163 : Epoch  2, Batch    507, Loss  1.443249, Average Loss  1.449896, Time  0.438546
2021-09-24 03:08:56.049468 : Epoch  2, Batch    508, Loss  1.448965, Average Loss  1.449858, Time  0.437886
2021-09-24 03:09:01.804883 : Epoch  2, Batch    509, Loss  1.449538, Average Loss  1.449836, Time  0.438987
2021-09-24 03:09:07.567446 : Epoch  2, Batch    510, Loss  1.449453, Average Loss  1.449792, Time  0.437153
2021-09-24 03:09:07.801128 : CheckPoint: Validation Loss  0.00025345, Best Loss  0.00024635
2021-09-24 03:09:13.335542 : Epoch  2, Batch    511, Loss  1.466281, Average Loss  1.449883, Time  0.451766
2021-09-24 03:09:13.560888 : Epoch  2, Batch    473, Loss  1.451945, Average Loss  1.451275, Time  0.459605
2021-09-24 03:09:19.136971 : Epoch  2, Batch    512, Loss  1.455493, Average Loss  1.449942, Time  0.438081
2021-09-24 03:09:19.384113 : Epoch  2, Batch    474, Loss  1.434574, Average Loss  1.451210, Time  0.442636
2021-09-24 03:09:24.880856 : Epoch  2, Batch    513, Loss  1.454304, Average Loss  1.449972, Time  0.438981
2021-09-24 03:09:25.134515 : Epoch  2, Batch    475, Loss  1.444560, Average Loss  1.451180, Time  0.442758
2021-09-24 03:09:30.641421 : Epoch  2, Batch    514, Loss  1.450013, Average Loss  1.450015, Time  0.440713
2021-09-24 03:09:30.915229 : Epoch  2, Batch    476, Loss  1.450617, Average Loss  1.451191, Time  0.445321
2021-09-24 03:09:36.407465 : Epoch  2, Batch    515, Loss  1.451416, Average Loss  1.450062, Time  0.437315
2021-09-24 03:09:36.685288 : Epoch  2, Batch    477, Loss  1.451112, Average Loss  1.451216, Time  0.442931
2021-09-24 03:09:42.215549 : Epoch  2, Batch    516, Loss  1.446522, Average Loss  1.449971, Time  0.439876
2021-09-24 03:09:42.512207 : Epoch  2, Batch    478, Loss  1.445498, Average Loss  1.451195, Time  0.442954
2021-09-24 03:09:48.001369 : Epoch  2, Batch    517, Loss  1.445046, Average Loss  1.449839, Time  0.439400
2021-09-24 03:09:48.322443 : Epoch  2, Batch    479, Loss  1.464923, Average Loss  1.451294, Time  0.443218
2021-09-24 03:09:53.733534 : Epoch  2, Batch    518, Loss  1.453191, Average Loss  1.449835, Time  0.439558
2021-09-24 03:09:54.090069 : Epoch  2, Batch    480, Loss  1.449305, Average Loss  1.451294, Time  0.444866
2021-09-24 03:09:59.565900 : Epoch  2, Batch    519, Loss  1.440724, Average Loss  1.449760, Time  0.453161
2021-09-24 03:09:59.919205 : Epoch  2, Batch    481, Loss  1.449363, Average Loss  1.451301, Time  0.452526
2021-09-24 03:10:05.281161 : Epoch  2, Batch    520, Loss  1.452008, Average Loss  1.449837, Time  0.441140
2021-09-24 03:10:05.687746 : Epoch  2, Batch    482, Loss  1.454872, Average Loss  1.451294, Time  0.447076
2021-09-24 03:10:11.005454 : Epoch  2, Batch    521, Loss  1.455738, Average Loss  1.449824, Time  0.440050
2021-09-24 03:10:11.421410 : Epoch  2, Batch    483, Loss  1.453141, Average Loss  1.451290, Time  0.443560
2021-09-24 03:10:16.765440 : Epoch  2, Batch    522, Loss  1.440147, Average Loss  1.449752, Time  0.438529
2021-09-24 03:10:17.205064 : Epoch  2, Batch    484, Loss  1.456304, Average Loss  1.451263, Time  0.443379
2021-09-24 03:10:22.553058 : Epoch  2, Batch    523, Loss  1.446458, Average Loss  1.449743, Time  0.440349
2021-09-24 03:10:23.033563 : Epoch  2, Batch    485, Loss  1.446467, Average Loss  1.451214, Time  0.442907
2021-09-24 03:10:28.306887 : Epoch  2, Batch    524, Loss  1.443860, Average Loss  1.449631, Time  0.439041
2021-09-24 03:10:28.815901 : Epoch  2, Batch    486, Loss  1.443015, Average Loss  1.451136, Time  0.443517
2021-09-24 03:10:34.068853 : Epoch  2, Batch    525, Loss  1.455380, Average Loss  1.449645, Time  0.438479
2021-09-24 03:10:34.619611 : Epoch  2, Batch    487, Loss  1.452716, Average Loss  1.451113, Time  0.446156
2021-09-24 03:10:39.823950 : Epoch  2, Batch    526, Loss  1.437933, Average Loss  1.449603, Time  0.440309
2021-09-24 03:10:40.396116 : Epoch  2, Batch    488, Loss  1.440233, Average Loss  1.451044, Time  0.444560
2021-09-24 03:10:45.646627 : Epoch  2, Batch    527, Loss  1.451263, Average Loss  1.449608, Time  0.446098
2021-09-24 03:10:46.266671 : Epoch  2, Batch    489, Loss  1.450744, Average Loss  1.450987, Time  0.452204
2021-09-24 03:10:51.531482 : Epoch  2, Batch    528, Loss  1.448748, Average Loss  1.449591, Time  0.438463
2021-09-24 03:10:52.207127 : Epoch  2, Batch    490, Loss  1.443778, Average Loss  1.450942, Time  0.447275
2021-09-24 03:10:57.386114 : Epoch  2, Batch    529, Loss  1.453122, Average Loss  1.449550, Time  0.439309
2021-09-24 03:10:58.089202 : Epoch  2, Batch    491, Loss  1.466331, Average Loss  1.451005, Time  0.445403
2021-09-24 03:11:03.163575 : Epoch  2, Batch    530, Loss  1.442319, Average Loss  1.449479, Time  0.439329
2021-09-24 03:11:03.939359 : Epoch  2, Batch    492, Loss  1.438744, Average Loss  1.450958, Time  0.447052
2021-09-24 03:11:08.983817 : Epoch  2, Batch    531, Loss  1.449738, Average Loss  1.449537, Time  0.437718
2021-09-24 03:11:09.764221 : Epoch  2, Batch    493, Loss  1.447312, Average Loss  1.451010, Time  0.442595
2021-09-24 03:11:14.750419 : Epoch  2, Batch    532, Loss  1.451660, Average Loss  1.449526, Time  0.440336
2021-09-24 03:11:15.604532 : Epoch  2, Batch    494, Loss  1.443504, Average Loss  1.450933, Time  0.446488
2021-09-24 03:11:20.529466 : Epoch  2, Batch    533, Loss  1.444887, Average Loss  1.449545, Time  0.437915
2021-09-24 03:11:21.407914 : Epoch  2, Batch    495, Loss  1.458432, Average Loss  1.450926, Time  0.442962
2021-09-24 03:11:26.271531 : Epoch  2, Batch    534, Loss  1.453442, Average Loss  1.449555, Time  0.437539
2021-09-24 03:11:27.182931 : Epoch  2, Batch    496, Loss  1.455333, Average Loss  1.450904, Time  0.444916
2021-09-24 03:11:32.083041 : Epoch  2, Batch    535, Loss  1.449809, Average Loss  1.449535, Time  0.448155
2021-09-24 03:11:33.045467 : Epoch  2, Batch    497, Loss  1.457185, Average Loss  1.450918, Time  0.450148
2021-09-24 03:11:37.823002 : Epoch  2, Batch    536, Loss  1.441424, Average Loss  1.449540, Time  0.439227
2021-09-24 03:11:38.829161 : Epoch  2, Batch    498, Loss  1.451930, Average Loss  1.450940, Time  0.442204
2021-09-24 03:11:43.592556 : Epoch  2, Batch    537, Loss  1.448146, Average Loss  1.449508, Time  0.439478
2021-09-24 03:11:44.653914 : Epoch  2, Batch    499, Loss  1.441028, Average Loss  1.450832, Time  0.444915
2021-09-24 03:11:49.432851 : Epoch  2, Batch    538, Loss  1.453469, Average Loss  1.449594, Time  0.441905
2021-09-24 03:11:50.559564 : Epoch  2, Batch    500, Loss  1.443150, Average Loss  1.450789, Time  0.443846
2021-09-24 03:11:55.640457 : Epoch  2, Batch    539, Loss  1.449257, Average Loss  1.449615, Time  0.445408
2021-09-24 03:11:56.511813 : Epoch  2, Batch    501, Loss  1.447889, Average Loss  1.450765, Time  0.443833
2021-09-24 03:12:02.045231 : Epoch  2, Batch    540, Loss  1.449654, Average Loss  1.449629, Time  0.440317
2021-09-24 03:12:02.514856 : Epoch  2, Batch    502, Loss  1.445551, Average Loss  1.450666, Time  0.445267
2021-09-24 03:12:07.962165 : Epoch  2, Batch    541, Loss  1.454763, Average Loss  1.449594, Time  0.444260
2021-09-24 03:12:08.320156 : Epoch  2, Batch    503, Loss  1.445145, Average Loss  1.450525, Time  0.445053
2021-09-24 03:12:13.994140 : Epoch  2, Batch    542, Loss  1.449286, Average Loss  1.449552, Time  0.444119
2021-09-24 03:12:14.247872 : Epoch  2, Batch    504, Loss  1.443694, Average Loss  1.450443, Time  0.443106
2021-09-24 03:12:19.887670 : Epoch  2, Batch    543, Loss  1.464894, Average Loss  1.449641, Time  0.448304
2021-09-24 03:12:20.016454 : Epoch  2, Batch    505, Loss  1.449820, Average Loss  1.450450, Time  0.451232
2021-09-24 03:12:25.715407 : Epoch  2, Batch    544, Loss  1.437488, Average Loss  1.449586, Time  0.440191
2021-09-24 03:12:25.782677 : Epoch  2, Batch    506, Loss  1.447130, Average Loss  1.450374, Time  0.443002
2021-09-24 03:12:31.556497 : Epoch  2, Batch    507, Loss  1.462940, Average Loss  1.450424, Time  0.444676
2021-09-24 03:12:31.591285 : Epoch  2, Batch    545, Loss  1.444843, Average Loss  1.449563, Time  0.439082
2021-09-24 03:12:37.556857 : Epoch  2, Batch    508, Loss  1.431405, Average Loss  1.450376, Time  0.443893
2021-09-24 03:12:37.594747 : Epoch  2, Batch    546, Loss  1.437650, Average Loss  1.449522, Time  0.438780
2021-09-24 03:12:43.553757 : Epoch  2, Batch    509, Loss  1.446654, Average Loss  1.450340, Time  0.443427
2021-09-24 03:12:43.592074 : Epoch  2, Batch    547, Loss  1.439741, Average Loss  1.449434, Time  0.438837
2021-09-24 03:12:49.572624 : Epoch  2, Batch    510, Loss  1.458827, Average Loss  1.450373, Time  0.445239
2021-09-24 03:12:49.667283 : Epoch  2, Batch    548, Loss  1.457798, Average Loss  1.449484, Time  0.440119
2021-09-24 03:12:55.596293 : Epoch  2, Batch    511, Loss  1.449610, Average Loss  1.450384, Time  0.443875
2021-09-24 03:12:55.665860 : Epoch  2, Batch    549, Loss  1.429493, Average Loss  1.449391, Time  0.437927
2021-09-24 03:13:01.595490 : Epoch  2, Batch    512, Loss  1.461531, Average Loss  1.450483, Time  0.445792
2021-09-24 03:13:01.654111 : Epoch  2, Batch    550, Loss  1.454522, Average Loss  1.449453, Time  0.440187
2021-09-24 03:13:07.627082 : Epoch  2, Batch    513, Loss  1.439327, Average Loss  1.450431, Time  0.454321
2021-09-24 03:13:07.670794 : Epoch  2, Batch    551, Loss  1.462320, Average Loss  1.449502, Time  0.448582
2021-09-24 03:13:13.633939 : Epoch  2, Batch    514, Loss  1.451267, Average Loss  1.450456, Time  0.443224
2021-09-24 03:13:13.680826 : Epoch  2, Batch    552, Loss  1.452641, Average Loss  1.449513, Time  0.438438
2021-09-24 03:13:19.642662 : Epoch  2, Batch    515, Loss  1.462304, Average Loss  1.450495, Time  0.442837
2021-09-24 03:13:19.676885 : Epoch  2, Batch    553, Loss  1.446169, Average Loss  1.449517, Time  0.438368
2021-09-24 03:13:25.635041 : Epoch  2, Batch    554, Loss  1.438782, Average Loss  1.449479, Time  0.439040
2021-09-24 03:13:25.666677 : Epoch  2, Batch    516, Loss  1.437258, Average Loss  1.450404, Time  0.444307
2021-09-24 03:13:31.565963 : Epoch  2, Batch    555, Loss  1.461478, Average Loss  1.449492, Time  0.437837
2021-09-24 03:13:31.633434 : Epoch  2, Batch    517, Loss  1.462173, Average Loss  1.450476, Time  0.443071
2021-09-24 03:13:37.293841 : Epoch  2, Batch    556, Loss  1.436337, Average Loss  1.449379, Time  0.437272
2021-09-24 03:13:37.385471 : Epoch  2, Batch    518, Loss  1.438539, Average Loss  1.450377, Time  0.443319
2021-09-24 03:13:42.969829 : Epoch  2, Batch    557, Loss  1.446860, Average Loss  1.449384, Time  0.437797
2021-09-24 03:13:43.086172 : Epoch  2, Batch    519, Loss  1.463844, Average Loss  1.450425, Time  0.441796
2021-09-24 03:13:48.631677 : Epoch  2, Batch    558, Loss  1.452787, Average Loss  1.449366, Time  0.437516
2021-09-24 03:13:48.787563 : Epoch  2, Batch    520, Loss  1.465715, Average Loss  1.450460, Time  0.443438
2021-09-24 03:13:54.290239 : Epoch  2, Batch    559, Loss  1.448383, Average Loss  1.449318, Time  0.447647
2021-09-24 03:13:54.473802 : Epoch  2, Batch    521, Loss  1.454462, Average Loss  1.450500, Time  0.459121
2021-09-24 03:13:59.954182 : Epoch  2, Batch    560, Loss  1.449971, Average Loss  1.449273, Time  0.436756
2021-09-24 03:14:00.147932 : Epoch  2, Batch    522, Loss  1.450745, Average Loss  1.450497, Time  0.441595
2021-09-24 03:14:05.600256 : Epoch  2, Batch    561, Loss  1.453474, Average Loss  1.449302, Time  0.436951
2021-09-24 03:14:05.834340 : Epoch  2, Batch    523, Loss  1.446245, Average Loss  1.450466, Time  0.442387
2021-09-24 03:14:11.226629 : Epoch  2, Batch    562, Loss  1.456560, Average Loss  1.449365, Time  0.441023
2021-09-24 03:14:11.490424 : Epoch  2, Batch    524, Loss  1.454549, Average Loss  1.450485, Time  0.441495
2021-09-24 03:14:16.859922 : Epoch  2, Batch    563, Loss  1.456207, Average Loss  1.449386, Time  0.437631
2021-09-24 03:14:17.150728 : Epoch  2, Batch    525, Loss  1.450051, Average Loss  1.450477, Time  0.442263
2021-09-24 03:14:22.550494 : Epoch  2, Batch    564, Loss  1.447684, Average Loss  1.449376, Time  0.437350
2021-09-24 03:14:22.839110 : Epoch  2, Batch    526, Loss  1.436953, Average Loss  1.450414, Time  0.441589
2021-09-24 03:14:28.261891 : Epoch  2, Batch    565, Loss  1.453190, Average Loss  1.449404, Time  0.437465
2021-09-24 03:14:28.577391 : Epoch  2, Batch    527, Loss  1.453514, Average Loss  1.450445, Time  0.444848
2021-09-24 03:14:33.955497 : Epoch  2, Batch    566, Loss  1.444437, Average Loss  1.449404, Time  0.437337
2021-09-24 03:14:34.305576 : Epoch  2, Batch    528, Loss  1.451154, Average Loss  1.450469, Time  0.444322
2021-09-24 03:14:39.639337 : Epoch  2, Batch    567, Loss  1.451582, Average Loss  1.449412, Time  0.454298
2021-09-24 03:14:39.987254 : Epoch  2, Batch    529, Loss  1.452126, Average Loss  1.450468, Time  0.454812
2021-09-24 03:14:45.275579 : Epoch  2, Batch    568, Loss  1.446242, Average Loss  1.449382, Time  0.439529
2021-09-24 03:14:45.662087 : Epoch  2, Batch    530, Loss  1.453311, Average Loss  1.450516, Time  0.444870
2021-09-24 03:14:50.899265 : Epoch  2, Batch    569, Loss  1.450472, Average Loss  1.449362, Time  0.439642
2021-09-24 03:14:51.476644 : Epoch  2, Batch    531, Loss  1.444426, Average Loss  1.450433, Time  0.442498
2021-09-24 03:14:56.562178 : Epoch  2, Batch    570, Loss  1.445898, Average Loss  1.449393, Time  0.438459
2021-09-24 03:14:57.200020 : Epoch  2, Batch    532, Loss  1.444398, Average Loss  1.450397, Time  0.443489
2021-09-24 03:15:02.247099 : Epoch  2, Batch    571, Loss  1.436232, Average Loss  1.449316, Time  0.437665
2021-09-24 03:15:02.940712 : Epoch  2, Batch    533, Loss  1.434559, Average Loss  1.450311, Time  0.442471
2021-09-24 03:15:07.892719 : Epoch  2, Batch    572, Loss  1.450916, Average Loss  1.449339, Time  0.438223
2021-09-24 03:15:08.658548 : Epoch  2, Batch    534, Loss  1.451463, Average Loss  1.450278, Time  0.447092
2021-09-24 03:15:14.359132 : Epoch  2, Batch    535, Loss  1.457800, Average Loss  1.450292, Time  0.441595
2021-09-24 03:15:20.101789 : Epoch  2, Batch    536, Loss  1.437145, Average Loss  1.450163, Time  0.441658
2021-09-24 03:15:25.824139 : Epoch  2, Batch    537, Loss  1.454261, Average Loss  1.450229, Time  0.452263
2021-09-24 03:15:31.664352 : Epoch  2, Batch    538, Loss  1.455588, Average Loss  1.450234, Time  0.447455
2021-09-24 03:15:37.710520 : Epoch  2, Batch    539, Loss  1.452702, Average Loss  1.450266, Time  0.444815
2021-09-24 03:15:43.746155 : Epoch  2, Batch    540, Loss  1.447595, Average Loss  1.450208, Time  0.445897
2021-09-24 03:15:49.783971 : Epoch  2, Batch    541, Loss  1.450564, Average Loss  1.450169, Time  0.449180
2021-09-24 03:15:55.813437 : Epoch  2, Batch    542, Loss  1.449898, Average Loss  1.450199, Time  0.443422
2021-09-24 03:16:01.846501 : Epoch  2, Batch    543, Loss  1.457205, Average Loss  1.450247, Time  0.445811
2021-09-24 03:16:07.884850 : Epoch  2, Batch    544, Loss  1.442664, Average Loss  1.450235, Time  0.458688
2021-09-24 03:16:13.918563 : Epoch  2, Batch    545, Loss  1.458058, Average Loss  1.450271, Time  0.445899
2021-09-24 03:16:19.937997 : Epoch  2, Batch    546, Loss  1.464988, Average Loss  1.450312, Time  0.443542
2021-09-24 03:16:25.971740 : Epoch  2, Batch    547, Loss  1.448207, Average Loss  1.450271, Time  0.444266
2021-09-24 03:16:31.992680 : Epoch  2, Batch    548, Loss  1.444048, Average Loss  1.450252, Time  0.447020
2021-09-24 03:16:38.035629 : Epoch  2, Batch    549, Loss  1.459510, Average Loss  1.450328, Time  0.447680
2021-09-24 03:16:44.077890 : Epoch  2, Batch    550, Loss  1.449153, Average Loss  1.450318, Time  0.448349
2021-09-24 03:16:50.103785 : Epoch  2, Batch    551, Loss  1.445023, Average Loss  1.450243, Time  0.445273
2021-09-24 03:16:56.146460 : Epoch  2, Batch    552, Loss  1.455884, Average Loss  1.450365, Time  0.461750
2021-09-24 03:17:02.198771 : Epoch  2, Batch    553, Loss  1.453586, Average Loss  1.450376, Time  0.446297
2021-09-24 03:17:08.240846 : Epoch  2, Batch    554, Loss  1.456338, Average Loss  1.450458, Time  0.455223
2021-09-24 03:17:14.280076 : Epoch  2, Batch    555, Loss  1.447343, Average Loss  1.450438, Time  0.446888
2021-09-24 03:17:20.305262 : Epoch  2, Batch    556, Loss  1.448783, Average Loss  1.450470, Time  0.444042
2021-09-24 03:17:26.333203 : Epoch  2, Batch    557, Loss  1.448744, Average Loss  1.450496, Time  0.446177
2021-09-24 03:17:32.359907 : Epoch  2, Batch    558, Loss  1.445104, Average Loss  1.450465, Time  0.446454
2021-09-24 03:17:38.420204 : Epoch  2, Batch    559, Loss  1.457898, Average Loss  1.450505, Time  0.459388
2021-09-24 03:17:44.459442 : Epoch  2, Batch    560, Loss  1.458213, Average Loss  1.450531, Time  0.446991
2021-09-24 03:17:50.506744 : Epoch  2, Batch    561, Loss  1.451163, Average Loss  1.450492, Time  0.445426
2021-09-24 03:17:56.546428 : Epoch  2, Batch    562, Loss  1.441497, Average Loss  1.450454, Time  0.444844
2021-09-24 03:18:02.588550 : Epoch  2, Batch    563, Loss  1.453878, Average Loss  1.450483, Time  0.444326
2021-09-24 03:18:08.632432 : Epoch  2, Batch    564, Loss  1.452191, Average Loss  1.450499, Time  0.448340
2021-09-24 03:18:14.665230 : Epoch  2, Batch    565, Loss  1.449637, Average Loss  1.450503, Time  0.447028
2021-09-24 03:18:20.667358 : Epoch  2, Batch    566, Loss  1.453444, Average Loss  1.450494, Time  0.442870
2021-09-24 03:18:26.717836 : Epoch  2, Batch    567, Loss  1.457510, Average Loss  1.450396, Time  0.459911
2021-09-24 03:18:32.753339 : Epoch  2, Batch    568, Loss  1.456226, Average Loss  1.450383, Time  0.444452
2021-09-24 03:18:38.800735 : Epoch  2, Batch    569, Loss  1.456366, Average Loss  1.450435, Time  0.448797
2021-09-24 03:18:44.854481 : Epoch  2, Batch    570, Loss  1.452421, Average Loss  1.450424, Time  0.451417
2021-09-24 03:18:50.861255 : Epoch  2, Batch    571, Loss  1.446600, Average Loss  1.450415, Time  0.444700
2021-09-24 03:18:56.879520 : Epoch  2, Batch    572, Loss  1.446501, Average Loss  1.450399, Time  0.444385
2021-09-24 03:19:49.370776 : CheckPoint: Validation Loss  0.00025028, Best Loss  0.00024773
2021-09-24 03:19:55.353573 : Epoch  2, Batch    573, Loss  1.442573, Average Loss  1.449345, Time  0.453829
2021-09-24 03:20:01.301673 : Epoch  2, Batch    574, Loss  1.451282, Average Loss  1.449311, Time  0.439401
2021-09-24 03:20:07.226110 : Epoch  2, Batch    575, Loss  1.454947, Average Loss  1.449339, Time  0.442918
2021-09-24 03:20:13.142553 : Epoch  2, Batch    576, Loss  1.449569, Average Loss  1.449310, Time  0.441184
2021-09-24 03:20:19.064601 : Epoch  2, Batch    577, Loss  1.445240, Average Loss  1.449261, Time  0.439243
2021-09-24 03:20:24.994321 : Epoch  2, Batch    578, Loss  1.455998, Average Loss  1.449315, Time  0.444834
2021-09-24 03:20:30.934207 : Epoch  2, Batch    579, Loss  1.456122, Average Loss  1.449307, Time  0.439775
2021-09-24 03:20:36.855403 : Epoch  2, Batch    580, Loss  1.454481, Average Loss  1.449326, Time  0.443063
2021-09-24 03:20:42.783759 : Epoch  2, Batch    581, Loss  1.455836, Average Loss  1.449312, Time  0.447360
2021-09-24 03:20:48.720099 : Epoch  2, Batch    582, Loss  1.450364, Average Loss  1.449324, Time  0.439563
2021-09-24 03:20:54.688663 : Epoch  2, Batch    583, Loss  1.455308, Average Loss  1.449390, Time  0.440469
2021-09-24 03:21:00.598676 : Epoch  2, Batch    584, Loss  1.450960, Average Loss  1.449371, Time  0.439740
2021-09-24 03:21:06.516762 : Epoch  2, Batch    585, Loss  1.449860, Average Loss  1.449373, Time  0.443537
2021-09-24 03:21:12.450196 : Epoch  2, Batch    586, Loss  1.443065, Average Loss  1.449283, Time  0.440076
2021-09-24 03:21:18.370540 : Epoch  2, Batch    587, Loss  1.454695, Average Loss  1.449256, Time  0.438624
2021-09-24 03:21:24.305880 : Epoch  2, Batch    588, Loss  1.435293, Average Loss  1.449249, Time  0.453028
2021-09-24 03:21:30.228794 : Epoch  2, Batch    589, Loss  1.443518, Average Loss  1.449245, Time  0.439739
2021-09-24 03:21:36.147335 : Epoch  2, Batch    590, Loss  1.441041, Average Loss  1.449189, Time  0.438737
2021-09-24 03:21:42.076618 : Epoch  2, Batch    591, Loss  1.447125, Average Loss  1.449225, Time  0.439640
2021-09-24 03:21:47.992901 : Epoch  2, Batch    592, Loss  1.452658, Average Loss  1.449244, Time  0.441346
2021-09-24 03:21:53.910471 : Epoch  2, Batch    593, Loss  1.450147, Average Loss  1.449187, Time  0.442406
2021-09-24 03:21:59.857993 : Epoch  2, Batch    594, Loss  1.451835, Average Loss  1.449212, Time  0.439270
2021-09-24 03:22:05.761883 : Epoch  2, Batch    595, Loss  1.443731, Average Loss  1.449197, Time  0.439505
2021-09-24 03:22:11.700515 : Epoch  2, Batch    596, Loss  1.470308, Average Loss  1.449351, Time  0.453207
2021-09-24 03:22:17.624326 : Epoch  2, Batch    597, Loss  1.454834, Average Loss  1.449278, Time  0.438818
2021-09-24 03:22:23.556276 : Epoch  2, Batch    598, Loss  1.462281, Average Loss  1.449313, Time  0.439840
2021-09-24 03:22:29.484620 : Epoch  2, Batch    599, Loss  1.455594, Average Loss  1.449362, Time  0.439963
2021-09-24 03:22:35.402476 : Epoch  2, Batch    600, Loss  1.452316, Average Loss  1.449354, Time  0.439314
2021-09-24 03:22:41.329243 : Epoch  2, Batch    601, Loss  1.456007, Average Loss  1.449403, Time  0.438915
2021-09-24 03:22:47.252860 : Epoch  2, Batch    602, Loss  1.455639, Average Loss  1.449347, Time  0.440570
2021-09-24 03:22:53.178156 : Epoch  2, Batch    603, Loss  1.444429, Average Loss  1.449282, Time  0.441672
2021-09-24 03:22:59.105989 : Epoch  2, Batch    604, Loss  1.440680, Average Loss  1.449216, Time  0.450275
2021-09-24 03:23:05.049750 : Epoch  2, Batch    605, Loss  1.436367, Average Loss  1.449206, Time  0.439200
2021-09-24 03:23:10.992500 : Epoch  2, Batch    606, Loss  1.452412, Average Loss  1.449200, Time  0.443536
2021-09-24 03:23:16.927638 : Epoch  2, Batch    607, Loss  1.464669, Average Loss  1.449248, Time  0.438941
2021-09-24 03:23:22.845907 : Epoch  2, Batch    608, Loss  1.448529, Average Loss  1.449224, Time  0.439617
2021-09-24 03:23:28.760444 : Epoch  2, Batch    609, Loss  1.431605, Average Loss  1.449152, Time  0.440744
2021-09-24 03:23:34.684742 : Epoch  2, Batch    610, Loss  1.456598, Average Loss  1.449163, Time  0.439574
2021-09-24 03:23:39.900760 : CheckPoint: Validation Loss  0.00025387, Best Loss  0.00024635
2021-09-24 03:23:40.605073 : Epoch  2, Batch    611, Loss  1.457968, Average Loss  1.449244, Time  0.439224
2021-09-24 03:23:45.971793 : Epoch  2, Batch    573, Loss  1.459096, Average Loss  1.450429, Time  0.460305
2021-09-24 03:23:46.562737 : Epoch  2, Batch    612, Loss  1.451636, Average Loss  1.449251, Time  0.451392
2021-09-24 03:23:51.979413 : Epoch  2, Batch    574, Loss  1.455740, Average Loss  1.450380, Time  0.444513
2021-09-24 03:23:52.499551 : Epoch  2, Batch    613, Loss  1.465881, Average Loss  1.449336, Time  0.439264
2021-09-24 03:23:57.978399 : Epoch  2, Batch    575, Loss  1.450132, Average Loss  1.450371, Time  0.446654
2021-09-24 03:23:58.424937 : Epoch  2, Batch    614, Loss  1.451145, Average Loss  1.449392, Time  0.442626
2021-09-24 03:24:03.986643 : Epoch  2, Batch    576, Loss  1.449643, Average Loss  1.450402, Time  0.446603
2021-09-24 03:24:04.340817 : Epoch  2, Batch    615, Loss  1.437491, Average Loss  1.449313, Time  0.441004
2021-09-24 03:24:10.089932 : Epoch  2, Batch    577, Loss  1.459493, Average Loss  1.450428, Time  0.452015
2021-09-24 03:24:10.262049 : Epoch  2, Batch    616, Loss  1.437735, Average Loss  1.449296, Time  0.438719
2021-09-24 03:24:16.105687 : Epoch  2, Batch    578, Loss  1.456362, Average Loss  1.450478, Time  0.448094
2021-09-24 03:24:16.174141 : Epoch  2, Batch    617, Loss  1.442032, Average Loss  1.449230, Time  0.441080
2021-09-24 03:24:22.090920 : Epoch  2, Batch    618, Loss  1.449085, Average Loss  1.449226, Time  0.438594
2021-09-24 03:24:22.127286 : Epoch  2, Batch    579, Loss  1.441081, Average Loss  1.450442, Time  0.448230
2021-09-24 03:24:28.046637 : Epoch  2, Batch    619, Loss  1.455999, Average Loss  1.449266, Time  0.439218
2021-09-24 03:24:28.130876 : Epoch  2, Batch    580, Loss  1.459039, Average Loss  1.450491, Time  0.448462
2021-09-24 03:24:33.988154 : Epoch  2, Batch    620, Loss  1.448356, Average Loss  1.449267, Time  0.457033
2021-09-24 03:24:34.141131 : Epoch  2, Batch    581, Loss  1.445946, Average Loss  1.450429, Time  0.455194
2021-09-24 03:24:39.915306 : Epoch  2, Batch    621, Loss  1.454452, Average Loss  1.449264, Time  0.439208
2021-09-24 03:24:40.148160 : Epoch  2, Batch    582, Loss  1.447669, Average Loss  1.450390, Time  0.449678
2021-09-24 03:24:45.846692 : Epoch  2, Batch    622, Loss  1.461206, Average Loss  1.449370, Time  0.439235
2021-09-24 03:24:46.150143 : Epoch  2, Batch    583, Loss  1.467414, Average Loss  1.450475, Time  0.443396
2021-09-24 03:24:51.926345 : Epoch  2, Batch    623, Loss  1.449441, Average Loss  1.449343, Time  0.441102
2021-09-24 03:24:52.167950 : Epoch  2, Batch    584, Loss  1.439628, Average Loss  1.450437, Time  0.451222
2021-09-24 03:24:57.863558 : Epoch  2, Batch    624, Loss  1.443598, Average Loss  1.449329, Time  0.439451
2021-09-24 03:24:58.154903 : Epoch  2, Batch    585, Loss  1.453166, Average Loss  1.450483, Time  0.443566
2021-09-24 03:25:03.801612 : Epoch  2, Batch    625, Loss  1.453750, Average Loss  1.449383, Time  0.441375
2021-09-24 03:25:04.144073 : Epoch  2, Batch    586, Loss  1.453272, Average Loss  1.450479, Time  0.443839
2021-09-24 03:25:09.744364 : Epoch  2, Batch    626, Loss  1.446801, Average Loss  1.449384, Time  0.439492
2021-09-24 03:25:10.151333 : Epoch  2, Batch    587, Loss  1.447878, Average Loss  1.450420, Time  0.446570
2021-09-24 03:25:15.674910 : Epoch  2, Batch    627, Loss  1.450441, Average Loss  1.449307, Time  0.439371
2021-09-24 03:25:16.165765 : Epoch  2, Batch    588, Loss  1.450837, Average Loss  1.450488, Time  0.458994
2021-09-24 03:25:21.608501 : Epoch  2, Batch    628, Loss  1.422830, Average Loss  1.449172, Time  0.453924
2021-09-24 03:25:22.152660 : Epoch  2, Batch    589, Loss  1.450342, Average Loss  1.450479, Time  0.444613
2021-09-24 03:25:27.514291 : Epoch  2, Batch    629, Loss  1.460705, Average Loss  1.449230, Time  0.438242
2021-09-24 03:25:28.153809 : Epoch  2, Batch    590, Loss  1.446910, Average Loss  1.450437, Time  0.443502
2021-09-24 03:25:33.457575 : Epoch  2, Batch    630, Loss  1.448744, Average Loss  1.449282, Time  0.439675
2021-09-24 03:25:34.155499 : Epoch  2, Batch    591, Loss  1.436635, Average Loss  1.450336, Time  0.445585
2021-09-24 03:25:39.378266 : Epoch  2, Batch    631, Loss  1.451493, Average Loss  1.449274, Time  0.450407
2021-09-24 03:25:40.144930 : Epoch  2, Batch    592, Loss  1.445200, Average Loss  1.450303, Time  0.446325
2021-09-24 03:25:45.313223 : Epoch  2, Batch    632, Loss  1.445891, Average Loss  1.449238, Time  0.439404
2021-09-24 03:25:46.133996 : Epoch  2, Batch    593, Loss  1.452391, Average Loss  1.450381, Time  0.444177
2021-09-24 03:25:51.228295 : Epoch  2, Batch    633, Loss  1.464851, Average Loss  1.449337, Time  0.443439
2021-09-24 03:25:52.126286 : Epoch  2, Batch    594, Loss  1.444027, Average Loss  1.450385, Time  0.442621
2021-09-24 03:25:57.174914 : Epoch  2, Batch    634, Loss  1.441359, Average Loss  1.449332, Time  0.441323
2021-09-24 03:25:58.118872 : Epoch  2, Batch    595, Loss  1.445805, Average Loss  1.450431, Time  0.443980
2021-09-24 03:26:03.096914 : Epoch  2, Batch    635, Loss  1.445782, Average Loss  1.449351, Time  0.438756
2021-09-24 03:26:04.123216 : Epoch  2, Batch    596, Loss  1.450161, Average Loss  1.450410, Time  0.460604
2021-09-24 03:26:09.042856 : Epoch  2, Batch    636, Loss  1.440621, Average Loss  1.449281, Time  0.455533
2021-09-24 03:26:10.096367 : Epoch  2, Batch    597, Loss  1.445789, Average Loss  1.450433, Time  0.446382
2021-09-24 03:26:14.967421 : Epoch  2, Batch    637, Loss  1.446925, Average Loss  1.449225, Time  0.439819
2021-09-24 03:26:16.085497 : Epoch  2, Batch    598, Loss  1.447550, Average Loss  1.450403, Time  0.443358
2021-09-24 03:26:20.902553 : Epoch  2, Batch    638, Loss  1.451404, Average Loss  1.449262, Time  0.439109
2021-09-24 03:26:22.061793 : Epoch  2, Batch    599, Loss  1.450387, Average Loss  1.450417, Time  0.443123
2021-09-24 03:26:26.807273 : Epoch  2, Batch    639, Loss  1.422439, Average Loss  1.449111, Time  0.440111
2021-09-24 03:26:28.044638 : Epoch  2, Batch    600, Loss  1.445158, Average Loss  1.450376, Time  0.443604
2021-09-24 03:26:32.716956 : Epoch  2, Batch    640, Loss  1.459677, Average Loss  1.449213, Time  0.442209
2021-09-24 03:26:34.038933 : Epoch  2, Batch    601, Loss  1.444630, Average Loss  1.450366, Time  0.445537
2021-09-24 03:26:38.647399 : Epoch  2, Batch    641, Loss  1.436998, Average Loss  1.449189, Time  0.443158
2021-09-24 03:26:40.010687 : Epoch  2, Batch    602, Loss  1.444021, Average Loss  1.450345, Time  0.446019
2021-09-24 03:26:44.578591 : Epoch  2, Batch    642, Loss  1.451647, Average Loss  1.449220, Time  0.438868
2021-09-24 03:26:46.022390 : Epoch  2, Batch    603, Loss  1.440694, Average Loss  1.450339, Time  0.451014
2021-09-24 03:26:50.502734 : Epoch  2, Batch    643, Loss  1.451497, Average Loss  1.449284, Time  0.440326
2021-09-24 03:26:52.018831 : Epoch  2, Batch    604, Loss  1.462805, Average Loss  1.450411, Time  0.443563
2021-09-24 03:26:56.446814 : Epoch  2, Batch    644, Loss  1.455382, Average Loss  1.449296, Time  0.451345
2021-09-24 03:26:58.018004 : Epoch  2, Batch    605, Loss  1.448980, Average Loss  1.450363, Time  0.443085
2021-09-24 03:27:02.380316 : Epoch  2, Batch    645, Loss  1.445792, Average Loss  1.449316, Time  0.439893
2021-09-24 03:27:04.012759 : Epoch  2, Batch    606, Loss  1.455447, Average Loss  1.450364, Time  0.444229
2021-09-24 03:27:08.313847 : Epoch  2, Batch    646, Loss  1.439249, Average Loss  1.449325, Time  0.442644
2021-09-24 03:27:10.001826 : Epoch  2, Batch    607, Loss  1.455841, Average Loss  1.450419, Time  0.448033
2021-09-24 03:27:14.250975 : Epoch  2, Batch    647, Loss  1.447864, Average Loss  1.449277, Time  0.439351
2021-09-24 03:27:15.985020 : Epoch  2, Batch    608, Loss  1.456441, Average Loss  1.450472, Time  0.445397
2021-09-24 03:27:20.169790 : Epoch  2, Batch    648, Loss  1.448937, Average Loss  1.449246, Time  0.440801
2021-09-24 03:27:21.988552 : Epoch  2, Batch    609, Loss  1.456334, Average Loss  1.450434, Time  0.444063
2021-09-24 03:27:26.113019 : Epoch  2, Batch    649, Loss  1.449129, Average Loss  1.449144, Time  0.441031
2021-09-24 03:27:27.988945 : Epoch  2, Batch    610, Loss  1.455030, Average Loss  1.450467, Time  0.446361
2021-09-24 03:27:32.040778 : Epoch  2, Batch    650, Loss  1.439182, Average Loss  1.449153, Time  0.439875
2021-09-24 03:27:34.005972 : Epoch  2, Batch    611, Loss  1.457214, Average Loss  1.450519, Time  0.465526
2021-09-24 03:27:37.957338 : Epoch  2, Batch    651, Loss  1.436433, Average Loss  1.449031, Time  0.439784
2021-09-24 03:27:39.988789 : Epoch  2, Batch    612, Loss  1.461258, Average Loss  1.450607, Time  0.444466
2021-09-24 03:27:43.887779 : Epoch  2, Batch    652, Loss  1.455122, Average Loss  1.449050, Time  0.451556
2021-09-24 03:27:45.984349 : Epoch  2, Batch    613, Loss  1.465154, Average Loss  1.450764, Time  0.446667
2021-09-24 03:27:49.821788 : Epoch  2, Batch    653, Loss  1.448320, Average Loss  1.449009, Time  0.441098
2021-09-24 03:27:51.977104 : Epoch  2, Batch    614, Loss  1.452307, Average Loss  1.450859, Time  0.443521
2021-09-24 03:27:55.760398 : Epoch  2, Batch    654, Loss  1.448519, Average Loss  1.449021, Time  0.438988
2021-09-24 03:27:57.975976 : Epoch  2, Batch    615, Loss  1.440470, Average Loss  1.450826, Time  0.445202
2021-09-24 03:28:01.685806 : Epoch  2, Batch    655, Loss  1.458591, Average Loss  1.449008, Time  0.438972
2021-09-24 03:28:03.965760 : Epoch  2, Batch    616, Loss  1.434879, Average Loss  1.450743, Time  0.444748
2021-09-24 03:28:07.620040 : Epoch  2, Batch    656, Loss  1.456170, Average Loss  1.449005, Time  0.446192
2021-09-24 03:28:09.956889 : Epoch  2, Batch    617, Loss  1.450623, Average Loss  1.450768, Time  0.443261
2021-09-24 03:28:13.548053 : Epoch  2, Batch    657, Loss  1.440638, Average Loss  1.448920, Time  0.438948
2021-09-24 03:28:15.961885 : Epoch  2, Batch    618, Loss  1.439428, Average Loss  1.450682, Time  0.459492
2021-09-24 03:28:19.465392 : Epoch  2, Batch    658, Loss  1.445274, Average Loss  1.448905, Time  0.438273
2021-09-24 03:28:21.961505 : Epoch  2, Batch    619, Loss  1.463285, Average Loss  1.450763, Time  0.444841
2021-09-24 03:28:25.413734 : Epoch  2, Batch    659, Loss  1.445899, Average Loss  1.448890, Time  0.455726
2021-09-24 03:28:27.962800 : Epoch  2, Batch    620, Loss  1.469159, Average Loss  1.450787, Time  0.445340
2021-09-24 03:28:31.336916 : Epoch  2, Batch    660, Loss  1.445817, Average Loss  1.448915, Time  0.438577
2021-09-24 03:28:33.952542 : Epoch  2, Batch    621, Loss  1.451861, Average Loss  1.450803, Time  0.444066
2021-09-24 03:28:37.260667 : Epoch  2, Batch    661, Loss  1.452588, Average Loss  1.448929, Time  0.440291
2021-09-24 03:28:39.934599 : Epoch  2, Batch    622, Loss  1.456568, Average Loss  1.450877, Time  0.443749
2021-09-24 03:28:43.196690 : Epoch  2, Batch    662, Loss  1.436988, Average Loss  1.448919, Time  0.438328
2021-09-24 03:28:45.920690 : Epoch  2, Batch    623, Loss  1.453326, Average Loss  1.450969, Time  0.443764
2021-09-24 03:28:49.126033 : Epoch  2, Batch    663, Loss  1.450595, Average Loss  1.448888, Time  0.439107
2021-09-24 03:28:51.917457 : Epoch  2, Batch    624, Loss  1.440764, Average Loss  1.450928, Time  0.444308
2021-09-24 03:28:55.052273 : Epoch  2, Batch    664, Loss  1.454427, Average Loss  1.448915, Time  0.439163
2021-09-24 03:28:57.893341 : Epoch  2, Batch    625, Loss  1.444687, Average Loss  1.450881, Time  0.443433
2021-09-24 03:29:00.990803 : Epoch  2, Batch    665, Loss  1.449174, Average Loss  1.448908, Time  0.441049
2021-09-24 03:29:03.912381 : Epoch  2, Batch    626, Loss  1.452197, Average Loss  1.450895, Time  0.462439
2021-09-24 03:29:06.919851 : Epoch  2, Batch    666, Loss  1.444896, Average Loss  1.448867, Time  0.439502
2021-09-24 03:29:09.904769 : Epoch  2, Batch    627, Loss  1.447067, Average Loss  1.450873, Time  0.443135
2021-09-24 03:29:12.843366 : Epoch  2, Batch    667, Loss  1.441922, Average Loss  1.448871, Time  0.448298
2021-09-24 03:29:15.905976 : Epoch  2, Batch    628, Loss  1.444643, Average Loss  1.450845, Time  0.444083
2021-09-24 03:29:18.764740 : Epoch  2, Batch    668, Loss  1.445859, Average Loss  1.448850, Time  0.438966
2021-09-24 03:29:21.926410 : Epoch  2, Batch    629, Loss  1.462033, Average Loss  1.450852, Time  0.447836
2021-09-24 03:29:24.686824 : Epoch  2, Batch    669, Loss  1.439405, Average Loss  1.448761, Time  0.439303
2021-09-24 03:29:27.919569 : Epoch  2, Batch    630, Loss  1.448363, Average Loss  1.450837, Time  0.444189
2021-09-24 03:29:30.615702 : Epoch  2, Batch    670, Loss  1.446583, Average Loss  1.448772, Time  0.441061
2021-09-24 03:29:33.914306 : Epoch  2, Batch    631, Loss  1.444752, Average Loss  1.450728, Time  0.449560
2021-09-24 03:29:36.549725 : Epoch  2, Batch    671, Loss  1.444881, Average Loss  1.448749, Time  0.449305
2021-09-24 03:29:39.907709 : Epoch  2, Batch    632, Loss  1.458992, Average Loss  1.450791, Time  0.443223
2021-09-24 03:29:42.464746 : Epoch  2, Batch    672, Loss  1.449318, Average Loss  1.448724, Time  0.444380
2021-09-24 03:29:45.933728 : Epoch  2, Batch    633, Loss  1.453179, Average Loss  1.450807, Time  0.458591
2021-09-24 03:29:51.920274 : Epoch  2, Batch    634, Loss  1.455766, Average Loss  1.450899, Time  0.445868
2021-09-24 03:29:57.921454 : Epoch  2, Batch    635, Loss  1.457492, Average Loss  1.450912, Time  0.443969
2021-09-24 03:30:03.902296 : Epoch  2, Batch    636, Loss  1.453517, Average Loss  1.450931, Time  0.443365
2021-09-24 03:30:09.905423 : Epoch  2, Batch    637, Loss  1.449162, Average Loss  1.450852, Time  0.450568
2021-09-24 03:30:15.902845 : Epoch  2, Batch    638, Loss  1.457685, Average Loss  1.450908, Time  0.451439
2021-09-24 03:30:21.927558 : Epoch  2, Batch    639, Loss  1.456402, Average Loss  1.451006, Time  0.445863
2021-09-24 03:30:27.924691 : Epoch  2, Batch    640, Loss  1.457900, Average Loss  1.451028, Time  0.444725
2021-09-24 03:30:33.946818 : Epoch  2, Batch    641, Loss  1.453978, Average Loss  1.451045, Time  0.454468
2021-09-24 03:30:39.963329 : Epoch  2, Batch    642, Loss  1.454905, Average Loss  1.451057, Time  0.447387
2021-09-24 03:30:45.967096 : Epoch  2, Batch    643, Loss  1.443581, Average Loss  1.450973, Time  0.445468
2021-09-24 03:30:51.966338 : Epoch  2, Batch    644, Loss  1.441319, Average Loss  1.450923, Time  0.446095
2021-09-24 03:30:57.952847 : Epoch  2, Batch    645, Loss  1.438605, Average Loss  1.450828, Time  0.444460
2021-09-24 03:31:03.941375 : Epoch  2, Batch    646, Loss  1.447041, Average Loss  1.450863, Time  0.445466
2021-09-24 03:31:09.954069 : Epoch  2, Batch    647, Loss  1.450171, Average Loss  1.450893, Time  0.446282
2021-09-24 03:31:15.961439 : Epoch  2, Batch    648, Loss  1.448156, Average Loss  1.450937, Time  0.460365
2021-09-24 03:31:21.974772 : Epoch  2, Batch    649, Loss  1.458280, Average Loss  1.450995, Time  0.443736
2021-09-24 03:31:27.973743 : Epoch  2, Batch    650, Loss  1.457904, Average Loss  1.451040, Time  0.445710
2021-09-24 03:31:33.952234 : Epoch  2, Batch    651, Loss  1.458871, Average Loss  1.451070, Time  0.444703
2021-09-24 03:31:39.931245 : Epoch  2, Batch    652, Loss  1.453795, Average Loss  1.451058, Time  0.451005
2021-09-24 03:31:45.921609 : Epoch  2, Batch    653, Loss  1.445914, Average Loss  1.450958, Time  0.446465
2021-09-24 03:31:51.928617 : Epoch  2, Batch    654, Loss  1.452500, Average Loss  1.450922, Time  0.450409
2021-09-24 03:31:57.917365 : Epoch  2, Batch    655, Loss  1.445551, Average Loss  1.450853, Time  0.445102
2021-09-24 03:32:03.927643 : Epoch  2, Batch    656, Loss  1.456619, Average Loss  1.450878, Time  0.469373
2021-09-24 03:32:09.904154 : Epoch  2, Batch    657, Loss  1.461025, Average Loss  1.450960, Time  0.447917
2021-09-24 03:32:15.875972 : Epoch  2, Batch    658, Loss  1.440176, Average Loss  1.450856, Time  0.444963
2021-09-24 03:32:21.854933 : Epoch  2, Batch    659, Loss  1.436522, Average Loss  1.450837, Time  0.446627
2021-09-24 03:32:27.846991 : Epoch  2, Batch    660, Loss  1.455505, Average Loss  1.450871, Time  0.444690
2021-09-24 03:32:33.832799 : Epoch  2, Batch    661, Loss  1.446228, Average Loss  1.450839, Time  0.443559
2021-09-24 03:32:39.816790 : Epoch  2, Batch    662, Loss  1.449418, Average Loss  1.450820, Time  0.442996
2021-09-24 03:32:45.813793 : Epoch  2, Batch    663, Loss  1.455719, Average Loss  1.450803, Time  0.445066
2021-09-24 03:32:51.825936 : Epoch  2, Batch    664, Loss  1.452543, Average Loss  1.450812, Time  0.455001
2021-09-24 03:32:57.834047 : Epoch  2, Batch    665, Loss  1.453479, Average Loss  1.450827, Time  0.448599
2021-09-24 03:33:03.843642 : Epoch  2, Batch    666, Loss  1.454078, Average Loss  1.450807, Time  0.453744
2021-09-24 03:33:09.863519 : Epoch  2, Batch    667, Loss  1.449638, Average Loss  1.450831, Time  0.445454
2021-09-24 03:33:15.858449 : Epoch  2, Batch    668, Loss  1.452227, Average Loss  1.450846, Time  0.443718
2021-09-24 03:33:21.857344 : Epoch  2, Batch    669, Loss  1.453711, Average Loss  1.450838, Time  0.445252
2021-09-24 03:33:27.892231 : Epoch  2, Batch    670, Loss  1.456573, Average Loss  1.450839, Time  0.446106
2021-09-24 03:33:33.910737 : Epoch  2, Batch    671, Loss  1.441669, Average Loss  1.450771, Time  0.457188
2021-09-24 03:33:39.916401 : Epoch  2, Batch    672, Loss  1.450821, Average Loss  1.450760, Time  0.443705
2021-09-24 03:34:25.154529 : CheckPoint: Validation Loss  0.00025152, Best Loss  0.00024773
2021-09-24 03:34:31.182836 : Epoch  2, Batch    673, Loss  1.451305, Average Loss  1.448668, Time  0.440161
2021-09-24 03:34:37.123312 : Epoch  2, Batch    674, Loss  1.448242, Average Loss  1.448752, Time  0.453146
2021-09-24 03:34:43.038797 : Epoch  2, Batch    675, Loss  1.464212, Average Loss  1.448879, Time  0.438433
2021-09-24 03:34:48.963781 : Epoch  2, Batch    676, Loss  1.434782, Average Loss  1.448823, Time  0.440238
2021-09-24 03:34:54.878809 : Epoch  2, Batch    677, Loss  1.443688, Average Loss  1.448823, Time  0.438968
2021-09-24 03:35:00.833346 : Epoch  2, Batch    678, Loss  1.452274, Average Loss  1.448833, Time  0.441715
2021-09-24 03:35:06.775196 : Epoch  2, Batch    679, Loss  1.449256, Average Loss  1.448863, Time  0.439181
2021-09-24 03:35:12.705304 : Epoch  2, Batch    680, Loss  1.459133, Average Loss  1.448846, Time  0.438809
2021-09-24 03:35:18.643880 : Epoch  2, Batch    681, Loss  1.453599, Average Loss  1.448848, Time  0.439091
2021-09-24 03:35:24.586423 : Epoch  2, Batch    682, Loss  1.451132, Average Loss  1.448803, Time  0.453535
2021-09-24 03:35:30.523867 : Epoch  2, Batch    683, Loss  1.455714, Average Loss  1.448852, Time  0.439338
2021-09-24 03:35:36.505793 : Epoch  2, Batch    684, Loss  1.456069, Average Loss  1.448955, Time  0.441536
2021-09-24 03:35:42.440935 : Epoch  2, Batch    685, Loss  1.448700, Average Loss  1.448942, Time  0.441661
2021-09-24 03:35:48.369744 : Epoch  2, Batch    686, Loss  1.462120, Average Loss  1.449027, Time  0.439377
2021-09-24 03:35:54.299880 : Epoch  2, Batch    687, Loss  1.446174, Average Loss  1.449029, Time  0.439994
2021-09-24 03:36:00.228478 : Epoch  2, Batch    688, Loss  1.446963, Average Loss  1.449066, Time  0.440800
2021-09-24 03:36:06.169563 : Epoch  2, Batch    689, Loss  1.437384, Average Loss  1.449049, Time  0.448190
2021-09-24 03:36:12.108589 : Epoch  2, Batch    690, Loss  1.451849, Average Loss  1.449035, Time  0.450086
2021-09-24 03:36:18.051114 : Epoch  2, Batch    691, Loss  1.449299, Average Loss  1.449006, Time  0.440618
2021-09-24 03:36:23.983108 : Epoch  2, Batch    692, Loss  1.462490, Average Loss  1.449066, Time  0.443198
2021-09-24 03:36:29.906469 : Epoch  2, Batch    693, Loss  1.449413, Average Loss  1.449093, Time  0.439381
2021-09-24 03:36:35.837875 : Epoch  2, Batch    694, Loss  1.452262, Average Loss  1.449139, Time  0.441409
2021-09-24 03:36:41.784770 : Epoch  2, Batch    695, Loss  1.451751, Average Loss  1.449162, Time  0.438845
2021-09-24 03:36:47.715614 : Epoch  2, Batch    696, Loss  1.441270, Average Loss  1.449178, Time  0.439709
2021-09-24 03:36:53.648405 : Epoch  2, Batch    697, Loss  1.447188, Average Loss  1.449132, Time  0.441667
2021-09-24 03:36:59.570917 : Epoch  2, Batch    698, Loss  1.442728, Average Loss  1.449045, Time  0.453357
2021-09-24 03:37:05.508354 : Epoch  2, Batch    699, Loss  1.452910, Average Loss  1.449087, Time  0.439661
2021-09-24 03:37:11.441329 : Epoch  2, Batch    700, Loss  1.450151, Average Loss  1.449134, Time  0.439855
2021-09-24 03:37:17.379451 : Epoch  2, Batch    701, Loss  1.436332, Average Loss  1.449013, Time  0.440258
2021-09-24 03:37:23.360235 : Epoch  2, Batch    702, Loss  1.455143, Average Loss  1.449087, Time  0.439804
2021-09-24 03:37:29.283382 : Epoch  2, Batch    703, Loss  1.451648, Average Loss  1.449107, Time  0.440292
2021-09-24 03:37:35.223334 : Epoch  2, Batch    704, Loss  1.445691, Average Loss  1.449056, Time  0.442115
2021-09-24 03:37:41.148854 : Epoch  2, Batch    705, Loss  1.436886, Average Loss  1.448969, Time  0.439263
2021-09-24 03:37:47.085429 : Epoch  2, Batch    706, Loss  1.463954, Average Loss  1.449071, Time  0.450096
2021-09-24 03:37:53.015091 : Epoch  2, Batch    707, Loss  1.426752, Average Loss  1.448989, Time  0.439555
2021-09-24 03:37:58.937844 : Epoch  2, Batch    708, Loss  1.461594, Average Loss  1.449052, Time  0.440339
2021-09-24 03:38:04.847523 : Epoch  2, Batch    709, Loss  1.445864, Average Loss  1.449033, Time  0.440180
2021-09-24 03:38:10.770855 : Epoch  2, Batch    710, Loss  1.434939, Average Loss  1.448961, Time  0.439402
2021-09-24 03:38:16.696018 : Epoch  2, Batch    711, Loss  1.453040, Average Loss  1.448895, Time  0.442297
2021-09-24 03:38:22.627467 : Epoch  2, Batch    712, Loss  1.443464, Average Loss  1.448834, Time  0.442231
2021-09-24 03:38:23.135530 : CheckPoint: Validation Loss  0.00024972, Best Loss  0.00024635
2021-09-24 03:38:28.557457 : Epoch  2, Batch    713, Loss  1.447534, Average Loss  1.448801, Time  0.442608
2021-09-24 03:38:29.204611 : Epoch  2, Batch    673, Loss  1.451511, Average Loss  1.450758, Time  0.456579
2021-09-24 03:38:34.476842 : Epoch  2, Batch    714, Loss  1.442270, Average Loss  1.448762, Time  0.452691
2021-09-24 03:38:35.196022 : Epoch  2, Batch    674, Loss  1.445506, Average Loss  1.450813, Time  0.443941
2021-09-24 03:38:40.399422 : Epoch  2, Batch    715, Loss  1.443215, Average Loss  1.448721, Time  0.439857
2021-09-24 03:38:41.191805 : Epoch  2, Batch    675, Loss  1.445189, Average Loss  1.450816, Time  0.443050
2021-09-24 03:38:46.327267 : Epoch  2, Batch    716, Loss  1.437666, Average Loss  1.448677, Time  0.441878
2021-09-24 03:38:47.176904 : Epoch  2, Batch    676, Loss  1.468654, Average Loss  1.450906, Time  0.443911
2021-09-24 03:38:52.270027 : Epoch  2, Batch    717, Loss  1.452583, Average Loss  1.448714, Time  0.446777
2021-09-24 03:38:53.176435 : Epoch  2, Batch    677, Loss  1.451199, Average Loss  1.450907, Time  0.459995
2021-09-24 03:38:58.210781 : Epoch  2, Batch    718, Loss  1.456698, Average Loss  1.448732, Time  0.439589
2021-09-24 03:38:59.173955 : Epoch  2, Batch    678, Loss  1.447846, Average Loss  1.450918, Time  0.444463
2021-09-24 03:39:04.137067 : Epoch  2, Batch    719, Loss  1.449589, Average Loss  1.448776, Time  0.440540
2021-09-24 03:39:05.161958 : Epoch  2, Batch    679, Loss  1.443918, Average Loss  1.450813, Time  0.443721
2021-09-24 03:39:10.078850 : Epoch  2, Batch    720, Loss  1.453153, Average Loss  1.448782, Time  0.440798
2021-09-24 03:39:11.157155 : Epoch  2, Batch    680, Loss  1.459924, Average Loss  1.450866, Time  0.448055
2021-09-24 03:39:16.015791 : Epoch  2, Batch    721, Loss  1.448463, Average Loss  1.448746, Time  0.444850
2021-09-24 03:39:17.148047 : Epoch  2, Batch    681, Loss  1.450068, Average Loss  1.450870, Time  0.444019
2021-09-24 03:39:21.951484 : Epoch  2, Batch    722, Loss  1.441315, Average Loss  1.448751, Time  0.451009
2021-09-24 03:39:23.142781 : Epoch  2, Batch    682, Loss  1.447790, Average Loss  1.450834, Time  0.443449
2021-09-24 03:39:27.862725 : Epoch  2, Batch    723, Loss  1.460280, Average Loss  1.448820, Time  0.440272
2021-09-24 03:39:29.137078 : Epoch  2, Batch    683, Loss  1.448605, Average Loss  1.450812, Time  0.444623
2021-09-24 03:39:33.786735 : Epoch  2, Batch    724, Loss  1.447232, Average Loss  1.448837, Time  0.439430
2021-09-24 03:39:35.144690 : Epoch  2, Batch    684, Loss  1.443118, Average Loss  1.450746, Time  0.443345
2021-09-24 03:39:39.713721 : Epoch  2, Batch    725, Loss  1.447541, Average Loss  1.448798, Time  0.438942
2021-09-24 03:39:41.144711 : Epoch  2, Batch    685, Loss  1.454802, Average Loss  1.450788, Time  0.461172
2021-09-24 03:39:45.642820 : Epoch  2, Batch    726, Loss  1.458136, Average Loss  1.448899, Time  0.442265
2021-09-24 03:39:47.140598 : Epoch  2, Batch    686, Loss  1.446622, Average Loss  1.450806, Time  0.443507
2021-09-24 03:39:51.556707 : Epoch  2, Batch    727, Loss  1.454797, Average Loss  1.448917, Time  0.440655
2021-09-24 03:39:53.140048 : Epoch  2, Batch    687, Loss  1.450233, Average Loss  1.450793, Time  0.449470
2021-09-24 03:39:57.497777 : Epoch  2, Batch    728, Loss  1.450344, Average Loss  1.448925, Time  0.438818
2021-09-24 03:39:59.133555 : Epoch  2, Batch    688, Loss  1.449715, Average Loss  1.450841, Time  0.446236
2021-09-24 03:40:03.438551 : Epoch  2, Batch    729, Loss  1.459120, Average Loss  1.448955, Time  0.448210
2021-09-24 03:40:05.125809 : Epoch  2, Batch    689, Loss  1.448750, Average Loss  1.450831, Time  0.446277
2021-09-24 03:40:09.411760 : Epoch  2, Batch    730, Loss  1.445050, Average Loss  1.448968, Time  0.444445
2021-09-24 03:40:11.142785 : Epoch  2, Batch    690, Loss  1.445821, Average Loss  1.450841, Time  0.445199
2021-09-24 03:40:15.351136 : Epoch  2, Batch    731, Loss  1.456496, Average Loss  1.449002, Time  0.442238
2021-09-24 03:40:17.132829 : Epoch  2, Batch    691, Loss  1.451826, Average Loss  1.450768, Time  0.446346
2021-09-24 03:40:21.285092 : Epoch  2, Batch    732, Loss  1.436030, Average Loss  1.448924, Time  0.440151
2021-09-24 03:40:23.140061 : Epoch  2, Batch    692, Loss  1.453247, Average Loss  1.450841, Time  0.458878
2021-09-24 03:40:27.214202 : Epoch  2, Batch    733, Loss  1.450635, Average Loss  1.448953, Time  0.439753
2021-09-24 03:40:29.134987 : Epoch  2, Batch    693, Loss  1.455911, Average Loss  1.450884, Time  0.444774
2021-09-24 03:40:33.153911 : Epoch  2, Batch    734, Loss  1.456130, Average Loss  1.448966, Time  0.439655
2021-09-24 03:40:35.140971 : Epoch  2, Batch    694, Loss  1.440495, Average Loss  1.450869, Time  0.443268
2021-09-24 03:40:39.090618 : Epoch  2, Batch    735, Loss  1.448504, Average Loss  1.448960, Time  0.439430
2021-09-24 03:40:41.133039 : Epoch  2, Batch    695, Loss  1.455182, Average Loss  1.450853, Time  0.443765
2021-09-24 03:40:45.020146 : Epoch  2, Batch    736, Loss  1.442663, Average Loss  1.448966, Time  0.442769
2021-09-24 03:40:47.121641 : Epoch  2, Batch    696, Loss  1.446988, Average Loss  1.450811, Time  0.443172
2021-09-24 03:40:50.949537 : Epoch  2, Batch    737, Loss  1.443741, Average Loss  1.448944, Time  0.454708
2021-09-24 03:40:53.124633 : Epoch  2, Batch    697, Loss  1.453641, Average Loss  1.450793, Time  0.443645
2021-09-24 03:40:56.876543 : Epoch  2, Batch    738, Loss  1.446605, Average Loss  1.448910, Time  0.440439
2021-09-24 03:40:59.113378 : Epoch  2, Batch    698, Loss  1.464062, Average Loss  1.450854, Time  0.449732
2021-09-24 03:41:02.798882 : Epoch  2, Batch    739, Loss  1.456262, Average Loss  1.448945, Time  0.443543
2021-09-24 03:41:05.103367 : Epoch  2, Batch    699, Loss  1.453965, Average Loss  1.450918, Time  0.443749
2021-09-24 03:41:08.734954 : Epoch  2, Batch    740, Loss  1.441291, Average Loss  1.448903, Time  0.446045
2021-09-24 03:41:11.125679 : Epoch  2, Batch    700, Loss  1.444844, Average Loss  1.450927, Time  0.458828
2021-09-24 03:41:14.668840 : Epoch  2, Batch    741, Loss  1.443625, Average Loss  1.448847, Time  0.443948
2021-09-24 03:41:17.137159 : Epoch  2, Batch    701, Loss  1.437319, Average Loss  1.450874, Time  0.445073
2021-09-24 03:41:20.611511 : Epoch  2, Batch    742, Loss  1.455055, Average Loss  1.448876, Time  0.439050
2021-09-24 03:41:23.135904 : Epoch  2, Batch    702, Loss  1.448375, Average Loss  1.450888, Time  0.445691
2021-09-24 03:41:26.544389 : Epoch  2, Batch    743, Loss  1.450571, Average Loss  1.448804, Time  0.443187
2021-09-24 03:41:29.135444 : Epoch  2, Batch    703, Loss  1.455295, Average Loss  1.450939, Time  0.444469
2021-09-24 03:41:32.488347 : Epoch  2, Batch    744, Loss  1.441637, Average Loss  1.448825, Time  0.443034
2021-09-24 03:41:35.138743 : Epoch  2, Batch    704, Loss  1.446735, Average Loss  1.450954, Time  0.443259
2021-09-24 03:41:38.444818 : Epoch  2, Batch    745, Loss  1.458688, Average Loss  1.448894, Time  0.453486
2021-09-24 03:41:41.137668 : Epoch  2, Batch    705, Loss  1.432790, Average Loss  1.450869, Time  0.443212
2021-09-24 03:41:44.382691 : Epoch  2, Batch    746, Loss  1.436168, Average Loss  1.448887, Time  0.440470
2021-09-24 03:41:47.148027 : Epoch  2, Batch    706, Loss  1.456830, Average Loss  1.450917, Time  0.444099
2021-09-24 03:41:50.325343 : Epoch  2, Batch    747, Loss  1.447086, Average Loss  1.448924, Time  0.441548
2021-09-24 03:41:53.164944 : Epoch  2, Batch    707, Loss  1.458109, Average Loss  1.450893, Time  0.458193
2021-09-24 03:41:56.267886 : Epoch  2, Batch    748, Loss  1.454039, Average Loss  1.448905, Time  0.439811
2021-09-24 03:41:59.166109 : Epoch  2, Batch    708, Loss  1.449770, Average Loss  1.450985, Time  0.443250
2021-09-24 03:42:02.211657 : Epoch  2, Batch    749, Loss  1.454879, Average Loss  1.449032, Time  0.440416
2021-09-24 03:42:05.156523 : Epoch  2, Batch    709, Loss  1.458791, Average Loss  1.451046, Time  0.443539
2021-09-24 03:42:08.137911 : Epoch  2, Batch    750, Loss  1.439182, Average Loss  1.448955, Time  0.438740
2021-09-24 03:42:11.150093 : Epoch  2, Batch    710, Loss  1.469528, Average Loss  1.451099, Time  0.445624
2021-09-24 03:42:14.063720 : Epoch  2, Batch    751, Loss  1.444101, Average Loss  1.448864, Time  0.440206
2021-09-24 03:42:17.142596 : Epoch  2, Batch    711, Loss  1.450481, Average Loss  1.451104, Time  0.445644
2021-09-24 03:42:19.988657 : Epoch  2, Batch    752, Loss  1.450726, Average Loss  1.448854, Time  0.441230
2021-09-24 03:42:23.145861 : Epoch  2, Batch    712, Loss  1.439442, Average Loss  1.450993, Time  0.445303
2021-09-24 03:42:25.934344 : Epoch  2, Batch    753, Loss  1.460802, Average Loss  1.448928, Time  0.456574
2021-09-24 03:42:29.138314 : Epoch  2, Batch    713, Loss  1.451377, Average Loss  1.451053, Time  0.443790
2021-09-24 03:42:31.867155 : Epoch  2, Batch    754, Loss  1.463171, Average Loss  1.449050, Time  0.441196
2021-09-24 03:42:35.123702 : Epoch  2, Batch    714, Loss  1.438208, Average Loss  1.450988, Time  0.443337
2021-09-24 03:42:37.816416 : Epoch  2, Batch    755, Loss  1.451720, Average Loss  1.449001, Time  0.440935
2021-09-24 03:42:41.148510 : Epoch  2, Batch    715, Loss  1.451130, Average Loss  1.450932, Time  0.465171
2021-09-24 03:42:43.751186 : Epoch  2, Batch    756, Loss  1.452585, Average Loss  1.449082, Time  0.443110
2021-09-24 03:42:47.153869 : Epoch  2, Batch    716, Loss  1.451619, Average Loss  1.451004, Time  0.449184
2021-09-24 03:42:49.701705 : Epoch  2, Batch    757, Loss  1.452092, Average Loss  1.449108, Time  0.439642
2021-09-24 03:42:53.145193 : Epoch  2, Batch    717, Loss  1.456738, Average Loss  1.450977, Time  0.445630
2021-09-24 03:42:55.635426 : Epoch  2, Batch    758, Loss  1.449860, Average Loss  1.449093, Time  0.440046
2021-09-24 03:42:59.139661 : Epoch  2, Batch    718, Loss  1.446666, Average Loss  1.451018, Time  0.447291
2021-09-24 03:43:01.570413 : Epoch  2, Batch    759, Loss  1.444056, Average Loss  1.449072, Time  0.439124
2021-09-24 03:43:05.135711 : Epoch  2, Batch    719, Loss  1.451854, Average Loss  1.450958, Time  0.447022
2021-09-24 03:43:07.514964 : Epoch  2, Batch    760, Loss  1.457569, Average Loss  1.449110, Time  0.456249
2021-09-24 03:43:11.146753 : Epoch  2, Batch    720, Loss  1.442881, Average Loss  1.450843, Time  0.444905
2021-09-24 03:43:13.440718 : Epoch  2, Batch    761, Loss  1.456356, Average Loss  1.449124, Time  0.439368
2021-09-24 03:43:17.143682 : Epoch  2, Batch    721, Loss  1.444399, Average Loss  1.450793, Time  0.446071
2021-09-24 03:43:19.388844 : Epoch  2, Batch    762, Loss  1.459358, Average Loss  1.449138, Time  0.439659
2021-09-24 03:43:23.152767 : Epoch  2, Batch    722, Loss  1.459974, Average Loss  1.450839, Time  0.456111
2021-09-24 03:43:25.318074 : Epoch  2, Batch    763, Loss  1.437315, Average Loss  1.449044, Time  0.439057
2021-09-24 03:43:29.133976 : Epoch  2, Batch    723, Loss  1.460043, Average Loss  1.450908, Time  0.444068
2021-09-24 03:43:31.250159 : Epoch  2, Batch    764, Loss  1.461431, Average Loss  1.449113, Time  0.438486
2021-09-24 03:43:35.119531 : Epoch  2, Batch    724, Loss  1.449502, Average Loss  1.450883, Time  0.443211
2021-09-24 03:43:35.629853 : Epoch  2, Batch    765, Loss  1.455911, Average Loss  1.449126, Time  0.341697
2021-09-24 03:43:41.114763 : Epoch  2, Batch    725, Loss  1.456430, Average Loss  1.450915, Time  0.444750
2021-09-24 03:43:41.558466 : Epoch  2, Batch    766, Loss  1.460244, Average Loss  1.449205, Time  0.442056
2021-09-24 03:43:45.562834 : Epoch  2, Batch    726, Loss  1.454140, Average Loss  1.451001, Time  0.343843
2021-09-24 03:43:47.482451 : Epoch  2, Batch    767, Loss  1.454482, Average Loss  1.449220, Time  0.441663
2021-09-24 03:43:51.551013 : Epoch  2, Batch    727, Loss  1.458124, Average Loss  1.451024, Time  0.446995
2021-09-24 03:43:53.404208 : Epoch  2, Batch    768, Loss  1.454884, Average Loss  1.449263, Time  0.448966
2021-09-24 03:43:57.551114 : Epoch  2, Batch    728, Loss  1.442961, Average Loss  1.450983, Time  0.443325
2021-09-24 03:43:59.330807 : Epoch  2, Batch    769, Loss  1.438585, Average Loss  1.449203, Time  0.440305
2021-09-24 03:44:03.532787 : Epoch  2, Batch    729, Loss  1.449185, Average Loss  1.450968, Time  0.444031
2021-09-24 03:44:05.254574 : Epoch  2, Batch    770, Loss  1.451115, Average Loss  1.449229, Time  0.440265
2021-09-24 03:44:09.541831 : Epoch  2, Batch    730, Loss  1.451828, Average Loss  1.450961, Time  0.459859
2021-09-24 03:44:11.178618 : Epoch  2, Batch    771, Loss  1.448143, Average Loss  1.449289, Time  0.440677
2021-09-24 03:44:15.532147 : Epoch  2, Batch    731, Loss  1.456645, Average Loss  1.451022, Time  0.446159
2021-09-24 03:44:17.106775 : Epoch  2, Batch    772, Loss  1.442783, Average Loss  1.449248, Time  0.442593
2021-09-24 03:44:21.536979 : Epoch  2, Batch    732, Loss  1.443748, Average Loss  1.451019, Time  0.452128
2021-09-24 03:44:27.527150 : Epoch  2, Batch    733, Loss  1.445872, Average Loss  1.451075, Time  0.444919
2021-09-24 03:44:33.520951 : Epoch  2, Batch    734, Loss  1.457509, Average Loss  1.451105, Time  0.443057
2021-09-24 03:44:39.513287 : Epoch  2, Batch    735, Loss  1.446598, Average Loss  1.451049, Time  0.443007
2021-09-24 03:44:45.502259 : Epoch  2, Batch    736, Loss  1.435749, Average Loss  1.451043, Time  0.445392
2021-09-24 03:44:51.492884 : Epoch  2, Batch    737, Loss  1.442628, Average Loss  1.450984, Time  0.444030
2021-09-24 03:44:57.509756 : Epoch  2, Batch    738, Loss  1.456267, Average Loss  1.450988, Time  0.460717
2021-09-24 03:45:03.503700 : Epoch  2, Batch    739, Loss  1.456256, Average Loss  1.451006, Time  0.445422
2021-09-24 03:45:09.512844 : Epoch  2, Batch    740, Loss  1.467167, Average Loss  1.451103, Time  0.446308
2021-09-24 03:45:15.515445 : Epoch  2, Batch    741, Loss  1.450882, Average Loss  1.451105, Time  0.446776
2021-09-24 03:45:21.509525 : Epoch  2, Batch    742, Loss  1.457301, Average Loss  1.451142, Time  0.445181
2021-09-24 03:45:27.505630 : Epoch  2, Batch    743, Loss  1.456037, Average Loss  1.451136, Time  0.444027
2021-09-24 03:45:33.500919 : Epoch  2, Batch    744, Loss  1.456639, Average Loss  1.451206, Time  0.445880
2021-09-24 03:45:39.493943 : Epoch  2, Batch    745, Loss  1.441646, Average Loss  1.451124, Time  0.457410
2021-09-24 03:45:45.481144 : Epoch  2, Batch    746, Loss  1.448146, Average Loss  1.451040, Time  0.443684
2021-09-24 03:45:51.472099 : Epoch  2, Batch    747, Loss  1.466134, Average Loss  1.451129, Time  0.444277
2021-09-24 03:45:57.455670 : Epoch  2, Batch    748, Loss  1.454318, Average Loss  1.451181, Time  0.442869
2021-09-24 03:46:03.462735 : Epoch  2, Batch    749, Loss  1.454870, Average Loss  1.451158, Time  0.443694
2021-09-24 03:46:09.455429 : Epoch  2, Batch    750, Loss  1.455839, Average Loss  1.451191, Time  0.447437
2021-09-24 03:46:15.480794 : Epoch  2, Batch    751, Loss  1.463177, Average Loss  1.451282, Time  0.450738
2021-09-24 03:46:21.494252 : Epoch  2, Batch    752, Loss  1.460511, Average Loss  1.451305, Time  0.446537
2021-09-24 03:46:27.506469 : Epoch  2, Batch    753, Loss  1.448600, Average Loss  1.451280, Time  0.455468
2021-09-24 03:46:33.522098 : Epoch  2, Batch    754, Loss  1.451855, Average Loss  1.451258, Time  0.449432
2021-09-24 03:46:39.551844 : Epoch  2, Batch    755, Loss  1.454381, Average Loss  1.451293, Time  0.446364
2021-09-24 03:46:45.557662 : Epoch  2, Batch    756, Loss  1.437498, Average Loss  1.451236, Time  0.448141
2021-09-24 03:46:51.550362 : Epoch  2, Batch    757, Loss  1.456929, Average Loss  1.451277, Time  0.450084
2021-09-24 03:46:57.550206 : Epoch  2, Batch    758, Loss  1.468540, Average Loss  1.451394, Time  0.445029
2021-09-24 03:47:03.571201 : Epoch  2, Batch    759, Loss  1.442960, Average Loss  1.451320, Time  0.453025
2021-09-24 03:47:09.587870 : Epoch  2, Batch    760, Loss  1.456531, Average Loss  1.451311, Time  0.460153
2021-09-24 03:47:15.604325 : Epoch  2, Batch    761, Loss  1.442917, Average Loss  1.451270, Time  0.456917
2021-09-24 03:47:21.606780 : Epoch  2, Batch    762, Loss  1.448547, Average Loss  1.451305, Time  0.445987
2021-09-24 03:47:27.602750 : Epoch  2, Batch    763, Loss  1.449678, Average Loss  1.451284, Time  0.444054
2021-09-24 03:47:33.607884 : Epoch  2, Batch    764, Loss  1.444537, Average Loss  1.451246, Time  0.445827
2021-09-24 03:47:39.616411 : Epoch  2, Batch    765, Loss  1.446935, Average Loss  1.451233, Time  0.452262
2021-09-24 03:47:45.621977 : Epoch  2, Batch    766, Loss  1.445983, Average Loss  1.451195, Time  0.443599
2021-09-24 03:47:51.625938 : Epoch  2, Batch    767, Loss  1.449102, Average Loss  1.451153, Time  0.448994
2021-09-24 03:47:57.637239 : Epoch  2, Batch    768, Loss  1.456647, Average Loss  1.451155, Time  0.452403
2021-09-24 03:48:03.630398 : Epoch  2, Batch    769, Loss  1.448973, Average Loss  1.451118, Time  0.444727
2021-09-24 03:48:09.628601 : Epoch  2, Batch    770, Loss  1.465279, Average Loss  1.451183, Time  0.443746
2021-09-24 03:48:15.621486 : Epoch  2, Batch    771, Loss  1.452173, Average Loss  1.451210, Time  0.443793
2021-09-24 03:48:21.608880 : Epoch  2, Batch    772, Loss  1.449131, Average Loss  1.451224, Time  0.446016
2021-09-24 03:48:56.896668 : CheckPoint: Validation Loss  0.00025346, Best Loss  0.00024773
2021-09-24 03:49:02.834221 : Epoch  2, Batch    773, Loss  1.456376, Average Loss  1.449317, Time  0.442537
2021-09-24 03:49:08.745980 : Epoch  2, Batch    774, Loss  1.449530, Average Loss  1.449309, Time  0.442864
2021-09-24 03:49:14.701761 : Epoch  2, Batch    775, Loss  1.444847, Average Loss  1.449258, Time  0.456097
2021-09-24 03:49:20.638535 : Epoch  2, Batch    776, Loss  1.447284, Average Loss  1.449247, Time  0.441471
2021-09-24 03:49:26.569761 : Epoch  2, Batch    777, Loss  1.441275, Average Loss  1.449227, Time  0.440148
2021-09-24 03:49:32.506860 : Epoch  2, Batch    778, Loss  1.456688, Average Loss  1.449230, Time  0.442606
2021-09-24 03:49:38.437655 : Epoch  2, Batch    779, Loss  1.443329, Average Loss  1.449166, Time  0.440945
2021-09-24 03:49:44.368465 : Epoch  2, Batch    780, Loss  1.453288, Average Loss  1.449160, Time  0.439682
2021-09-24 03:49:50.306361 : Epoch  2, Batch    781, Loss  1.433765, Average Loss  1.449050, Time  0.440351
2021-09-24 03:49:56.232662 : Epoch  2, Batch    782, Loss  1.445750, Average Loss  1.449027, Time  0.438840
2021-09-24 03:50:02.185988 : Epoch  2, Batch    783, Loss  1.453368, Average Loss  1.449017, Time  0.452868
2021-09-24 03:50:08.106009 : Epoch  2, Batch    784, Loss  1.459920, Average Loss  1.449062, Time  0.441785
2021-09-24 03:50:14.023110 : Epoch  2, Batch    785, Loss  1.447363, Average Loss  1.449050, Time  0.440324
2021-09-24 03:50:19.959669 : Epoch  2, Batch    786, Loss  1.447993, Average Loss  1.449074, Time  0.443019
2021-09-24 03:50:25.883770 : Epoch  2, Batch    787, Loss  1.446828, Average Loss  1.449035, Time  0.441725
2021-09-24 03:50:31.814834 : Epoch  2, Batch    788, Loss  1.449661, Average Loss  1.449107, Time  0.439040
2021-09-24 03:50:37.752837 : Epoch  2, Batch    789, Loss  1.458007, Average Loss  1.449179, Time  0.443414
2021-09-24 03:50:43.673724 : Epoch  2, Batch    790, Loss  1.432519, Average Loss  1.449137, Time  0.441161
2021-09-24 03:50:49.628663 : Epoch  2, Batch    791, Loss  1.459970, Average Loss  1.449201, Time  0.461165
2021-09-24 03:50:55.550907 : Epoch  2, Batch    792, Loss  1.432276, Average Loss  1.449099, Time  0.439368
2021-09-24 03:51:01.496784 : Epoch  2, Batch    793, Loss  1.445720, Average Loss  1.449077, Time  0.441483
2021-09-24 03:51:07.419604 : Epoch  2, Batch    794, Loss  1.456383, Average Loss  1.449099, Time  0.439909
2021-09-24 03:51:13.351635 : Epoch  2, Batch    795, Loss  1.448558, Average Loss  1.449124, Time  0.438417
2021-09-24 03:51:19.276763 : Epoch  2, Batch    796, Loss  1.442092, Average Loss  1.448983, Time  0.438966
2021-09-24 03:51:25.211955 : Epoch  2, Batch    797, Loss  1.460419, Average Loss  1.449010, Time  0.443199
2021-09-24 03:51:31.148603 : Epoch  2, Batch    798, Loss  1.449725, Average Loss  1.448948, Time  0.443372
2021-09-24 03:51:37.118853 : Epoch  2, Batch    799, Loss  1.440979, Average Loss  1.448875, Time  0.456488
2021-09-24 03:51:43.058332 : Epoch  2, Batch    800, Loss  1.439232, Average Loss  1.448809, Time  0.441678
2021-09-24 03:51:48.991500 : Epoch  2, Batch    801, Loss  1.442694, Average Loss  1.448743, Time  0.438742
2021-09-24 03:51:54.919820 : Epoch  2, Batch    802, Loss  1.446006, Average Loss  1.448694, Time  0.443048
2021-09-24 03:52:00.843360 : Epoch  2, Batch    803, Loss  1.455823, Average Loss  1.448751, Time  0.440686
2021-09-24 03:52:06.776739 : Epoch  2, Batch    804, Loss  1.446291, Average Loss  1.448779, Time  0.439818
2021-09-24 03:52:12.704372 : Epoch  2, Batch    805, Loss  1.446522, Average Loss  1.448830, Time  0.438928
2021-09-24 03:52:18.644564 : Epoch  2, Batch    806, Loss  1.451036, Average Loss  1.448823, Time  0.442325
2021-09-24 03:52:24.589933 : Epoch  2, Batch    807, Loss  1.451439, Average Loss  1.448757, Time  0.455252
2021-09-24 03:52:30.527805 : Epoch  2, Batch    808, Loss  1.440950, Average Loss  1.448719, Time  0.439376
2021-09-24 03:52:36.453431 : Epoch  2, Batch    809, Loss  1.454513, Average Loss  1.448834, Time  0.440706
2021-09-24 03:52:42.382409 : Epoch  2, Batch    810, Loss  1.456453, Average Loss  1.448833, Time  0.439284
2021-09-24 03:52:48.319211 : Epoch  2, Batch    811, Loss  1.451880, Average Loss  1.448803, Time  0.443000
2021-09-24 03:52:54.261958 : Epoch  2, Batch    812, Loss  1.449919, Average Loss  1.448794, Time  0.440890
2021-09-24 03:53:00.198519 : Epoch  2, Batch    813, Loss  1.455325, Average Loss  1.448741, Time  0.442222
2021-09-24 03:53:04.534022 : CheckPoint: Validation Loss  0.00025197, Best Loss  0.00024635
2021-09-24 03:53:06.128843 : Epoch  2, Batch    814, Loss  1.455545, Average Loss  1.448763, Time  0.439411
2021-09-24 03:53:10.527499 : Epoch  2, Batch    773, Loss  1.438576, Average Loss  1.451121, Time  0.447538
2021-09-24 03:53:12.058661 : Epoch  2, Batch    815, Loss  1.453254, Average Loss  1.448842, Time  0.452681
2021-09-24 03:53:16.475975 : Epoch  2, Batch    774, Loss  1.450116, Average Loss  1.451093, Time  0.453527
2021-09-24 03:53:18.004392 : Epoch  2, Batch    816, Loss  1.448318, Average Loss  1.448895, Time  0.440591
2021-09-24 03:53:22.427885 : Epoch  2, Batch    775, Loss  1.456335, Average Loss  1.451124, Time  0.443855
2021-09-24 03:53:23.944695 : Epoch  2, Batch    817, Loss  1.459837, Average Loss  1.448984, Time  0.441619
2021-09-24 03:53:28.386162 : Epoch  2, Batch    776, Loss  1.443407, Average Loss  1.451093, Time  0.446054
2021-09-24 03:53:29.873802 : Epoch  2, Batch    818, Loss  1.449795, Average Loss  1.448988, Time  0.440017
2021-09-24 03:53:34.324390 : Epoch  2, Batch    777, Loss  1.445092, Average Loss  1.451021, Time  0.443190
2021-09-24 03:53:35.813756 : Epoch  2, Batch    819, Loss  1.447991, Average Loss  1.448948, Time  0.439989
2021-09-24 03:53:40.262381 : Epoch  2, Batch    778, Loss  1.448781, Average Loss  1.450983, Time  0.444659
2021-09-24 03:53:41.740806 : Epoch  2, Batch    820, Loss  1.438916, Average Loss  1.448900, Time  0.438771
2021-09-24 03:53:46.214502 : Epoch  2, Batch    779, Loss  1.445562, Average Loss  1.451005, Time  0.443807
2021-09-24 03:53:47.662806 : Epoch  2, Batch    821, Loss  1.452686, Average Loss  1.448892, Time  0.438189
2021-09-24 03:53:52.162331 : Epoch  2, Batch    780, Loss  1.468499, Average Loss  1.451053, Time  0.445387
2021-09-24 03:53:53.606681 : Epoch  2, Batch    822, Loss  1.441605, Average Loss  1.448794, Time  0.441137
2021-09-24 03:53:58.113169 : Epoch  2, Batch    781, Loss  1.447360, Average Loss  1.451060, Time  0.449519
2021-09-24 03:53:59.544637 : Epoch  2, Batch    823, Loss  1.435938, Average Loss  1.448726, Time  0.452007
2021-09-24 03:54:04.080807 : Epoch  2, Batch    782, Loss  1.445267, Average Loss  1.451048, Time  0.454418
2021-09-24 03:54:05.481604 : Epoch  2, Batch    824, Loss  1.468831, Average Loss  1.448852, Time  0.440062
2021-09-24 03:54:10.049373 : Epoch  2, Batch    783, Loss  1.456755, Average Loss  1.450994, Time  0.445843
2021-09-24 03:54:11.417810 : Epoch  2, Batch    825, Loss  1.446630, Average Loss  1.448817, Time  0.439705
2021-09-24 03:54:15.997819 : Epoch  2, Batch    784, Loss  1.442837, Average Loss  1.451010, Time  0.443843
2021-09-24 03:54:17.355685 : Epoch  2, Batch    826, Loss  1.438396, Average Loss  1.448775, Time  0.443506
2021-09-24 03:54:21.958891 : Epoch  2, Batch    785, Loss  1.447357, Average Loss  1.450981, Time  0.443507
2021-09-24 03:54:23.292556 : Epoch  2, Batch    827, Loss  1.458606, Average Loss  1.448815, Time  0.440394
2021-09-24 03:54:27.924468 : Epoch  2, Batch    786, Loss  1.452181, Average Loss  1.450976, Time  0.443002
2021-09-24 03:54:29.233830 : Epoch  2, Batch    828, Loss  1.453308, Average Loss  1.448968, Time  0.442542
2021-09-24 03:54:33.868475 : Epoch  2, Batch    787, Loss  1.460774, Average Loss  1.451040, Time  0.445696
2021-09-24 03:54:35.171949 : Epoch  2, Batch    829, Loss  1.447555, Average Loss  1.448902, Time  0.440774
2021-09-24 03:54:39.835275 : Epoch  2, Batch    788, Loss  1.457537, Average Loss  1.451074, Time  0.445889
2021-09-24 03:54:41.093541 : Epoch  2, Batch    830, Loss  1.449357, Average Loss  1.448905, Time  0.440432
2021-09-24 03:54:45.815082 : Epoch  2, Batch    789, Loss  1.452871, Average Loss  1.451086, Time  0.447336
2021-09-24 03:54:47.046252 : Epoch  2, Batch    831, Loss  1.455109, Average Loss  1.448923, Time  0.452211
2021-09-24 03:54:51.795448 : Epoch  2, Batch    790, Loss  1.431310, Average Loss  1.451008, Time  0.461531
2021-09-24 03:54:52.960581 : Epoch  2, Batch    832, Loss  1.439827, Average Loss  1.448893, Time  0.439478
2021-09-24 03:54:57.757793 : Epoch  2, Batch    791, Loss  1.454759, Average Loss  1.451099, Time  0.445332
2021-09-24 03:54:58.910772 : Epoch  2, Batch    833, Loss  1.443744, Average Loss  1.448787, Time  0.443798
2021-09-24 03:55:03.715717 : Epoch  2, Batch    792, Loss  1.450779, Average Loss  1.451127, Time  0.444114
2021-09-24 03:55:04.835628 : Epoch  2, Batch    834, Loss  1.437877, Average Loss  1.448770, Time  0.439154
2021-09-24 03:55:09.692159 : Epoch  2, Batch    793, Loss  1.444928, Average Loss  1.451090, Time  0.446761
2021-09-24 03:55:10.760570 : Epoch  2, Batch    835, Loss  1.439286, Average Loss  1.448737, Time  0.440862
2021-09-24 03:55:15.651931 : Epoch  2, Batch    794, Loss  1.445747, Average Loss  1.451098, Time  0.447553
2021-09-24 03:55:16.703552 : Epoch  2, Batch    836, Loss  1.445707, Average Loss  1.448763, Time  0.441873
2021-09-24 03:55:21.603703 : Epoch  2, Batch    795, Loss  1.444659, Average Loss  1.451093, Time  0.445115
2021-09-24 03:55:22.618535 : Epoch  2, Batch    837, Loss  1.427709, Average Loss  1.448667, Time  0.438952
2021-09-24 03:55:27.560428 : Epoch  2, Batch    796, Loss  1.456206, Average Loss  1.451123, Time  0.449522
2021-09-24 03:55:28.564767 : Epoch  2, Batch    838, Loss  1.440659, Average Loss  1.448613, Time  0.457001
2021-09-24 03:55:33.509565 : Epoch  2, Batch    797, Loss  1.461167, Average Loss  1.451200, Time  0.445522
2021-09-24 03:55:34.505762 : Epoch  2, Batch    839, Loss  1.454695, Average Loss  1.448774, Time  0.438535
2021-09-24 03:55:39.482709 : Epoch  2, Batch    798, Loss  1.445724, Average Loss  1.451191, Time  0.458019
2021-09-24 03:55:40.436605 : Epoch  2, Batch    840, Loss  1.451277, Average Loss  1.448732, Time  0.440013
2021-09-24 03:55:45.449712 : Epoch  2, Batch    799, Loss  1.448501, Average Loss  1.451181, Time  0.448908
2021-09-24 03:55:46.376410 : Epoch  2, Batch    841, Loss  1.458547, Average Loss  1.448840, Time  0.444394
2021-09-24 03:55:51.400635 : Epoch  2, Batch    800, Loss  1.445245, Average Loss  1.451182, Time  0.445000
2021-09-24 03:55:52.299629 : Epoch  2, Batch    842, Loss  1.453623, Average Loss  1.448850, Time  0.445284
2021-09-24 03:55:57.351593 : Epoch  2, Batch    801, Loss  1.455965, Average Loss  1.451238, Time  0.444909
2021-09-24 03:55:58.239783 : Epoch  2, Batch    843, Loss  1.449100, Average Loss  1.448838, Time  0.440466
2021-09-24 03:56:03.314317 : Epoch  2, Batch    802, Loss  1.453130, Average Loss  1.451284, Time  0.449963
2021-09-24 03:56:04.183588 : Epoch  2, Batch    844, Loss  1.453395, Average Loss  1.448828, Time  0.442579
2021-09-24 03:56:09.264727 : Epoch  2, Batch    803, Loss  1.452891, Average Loss  1.451345, Time  0.450847
2021-09-24 03:56:10.123426 : Epoch  2, Batch    845, Loss  1.458212, Average Loss  1.448890, Time  0.442108
2021-09-24 03:56:15.205984 : Epoch  2, Batch    804, Loss  1.433225, Average Loss  1.451197, Time  0.442962
2021-09-24 03:56:16.063256 : Epoch  2, Batch    846, Loss  1.449675, Average Loss  1.448942, Time  0.453299
2021-09-24 03:56:21.167562 : Epoch  2, Batch    805, Loss  1.446477, Average Loss  1.451184, Time  0.451035
2021-09-24 03:56:21.999207 : Epoch  2, Batch    847, Loss  1.451344, Average Loss  1.448960, Time  0.439420
2021-09-24 03:56:27.133003 : Epoch  2, Batch    806, Loss  1.452060, Average Loss  1.451167, Time  0.447408
2021-09-24 03:56:27.933753 : Epoch  2, Batch    848, Loss  1.454146, Average Loss  1.448986, Time  0.443578
2021-09-24 03:56:33.083818 : Epoch  2, Batch    807, Loss  1.440497, Average Loss  1.451091, Time  0.445249
2021-09-24 03:56:33.879173 : Epoch  2, Batch    849, Loss  1.452026, Average Loss  1.449000, Time  0.440104
2021-09-24 03:56:39.035055 : Epoch  2, Batch    808, Loss  1.456849, Average Loss  1.451093, Time  0.444814
2021-09-24 03:56:39.842838 : Epoch  2, Batch    850, Loss  1.454096, Average Loss  1.449075, Time  0.445920
2021-09-24 03:56:44.985959 : Epoch  2, Batch    809, Loss  1.448199, Average Loss  1.451052, Time  0.445611
2021-09-24 03:56:45.780895 : Epoch  2, Batch    851, Loss  1.450779, Average Loss  1.449147, Time  0.439851
2021-09-24 03:56:50.946372 : Epoch  2, Batch    810, Loss  1.452803, Average Loss  1.451041, Time  0.448095
2021-09-24 03:56:51.721855 : Epoch  2, Batch    852, Loss  1.457051, Average Loss  1.449156, Time  0.438852
2021-09-24 03:56:56.906023 : Epoch  2, Batch    811, Loss  1.459736, Average Loss  1.451054, Time  0.445968
2021-09-24 03:56:57.649431 : Epoch  2, Batch    853, Loss  1.452649, Average Loss  1.449178, Time  0.441100
2021-09-24 03:57:02.847803 : Epoch  2, Batch    812, Loss  1.461292, Average Loss  1.451054, Time  0.448926
2021-09-24 03:57:03.592113 : Epoch  2, Batch    854, Loss  1.448568, Average Loss  1.449178, Time  0.448411
2021-09-24 03:57:08.796303 : Epoch  2, Batch    813, Loss  1.451295, Average Loss  1.450984, Time  0.455461
2021-09-24 03:57:09.522798 : Epoch  2, Batch    855, Loss  1.462802, Average Loss  1.449199, Time  0.440969
2021-09-24 03:57:14.748973 : Epoch  2, Batch    814, Loss  1.450499, Average Loss  1.450975, Time  0.444175
2021-09-24 03:57:15.450035 : Epoch  2, Batch    856, Loss  1.454374, Average Loss  1.449190, Time  0.439211
2021-09-24 03:57:20.691232 : Epoch  2, Batch    815, Loss  1.444743, Average Loss  1.450997, Time  0.444099
2021-09-24 03:57:21.384598 : Epoch  2, Batch    857, Loss  1.444384, Average Loss  1.449209, Time  0.443487
2021-09-24 03:57:26.639847 : Epoch  2, Batch    816, Loss  1.438431, Average Loss  1.451014, Time  0.443875
2021-09-24 03:57:27.325808 : Epoch  2, Batch    858, Loss  1.453688, Average Loss  1.449251, Time  0.439313
2021-09-24 03:57:32.594024 : Epoch  2, Batch    817, Loss  1.452202, Average Loss  1.451022, Time  0.445478
2021-09-24 03:57:33.258207 : Epoch  2, Batch    859, Loss  1.435538, Average Loss  1.449199, Time  0.438657
2021-09-24 03:57:38.526980 : Epoch  2, Batch    818, Loss  1.451954, Average Loss  1.451085, Time  0.445307
2021-09-24 03:57:39.170978 : Epoch  2, Batch    860, Loss  1.454865, Average Loss  1.449244, Time  0.439557
2021-09-24 03:57:44.452894 : Epoch  2, Batch    819, Loss  1.455510, Average Loss  1.451046, Time  0.444275
2021-09-24 03:57:45.094611 : Epoch  2, Batch    861, Loss  1.452224, Average Loss  1.449243, Time  0.439375
2021-09-24 03:57:50.398427 : Epoch  2, Batch    820, Loss  1.452831, Average Loss  1.450965, Time  0.443799
2021-09-24 03:57:51.047755 : Epoch  2, Batch    862, Loss  1.436387, Average Loss  1.449240, Time  0.453030
2021-09-24 03:57:56.362362 : Epoch  2, Batch    821, Loss  1.469415, Average Loss  1.451052, Time  0.455735
2021-09-24 03:57:56.974480 : Epoch  2, Batch    863, Loss  1.456491, Average Loss  1.449269, Time  0.440780
2021-09-24 03:58:02.338128 : Epoch  2, Batch    822, Loss  1.442275, Average Loss  1.450981, Time  0.461061
2021-09-24 03:58:02.907670 : Epoch  2, Batch    864, Loss  1.450802, Average Loss  1.449251, Time  0.438137
2021-09-24 03:58:08.284620 : Epoch  2, Batch    823, Loss  1.436205, Average Loss  1.450895, Time  0.444619
2021-09-24 03:58:08.837806 : Epoch  2, Batch    865, Loss  1.452375, Average Loss  1.449267, Time  0.438848
2021-09-24 03:58:14.243837 : Epoch  2, Batch    824, Loss  1.447037, Average Loss  1.450927, Time  0.449186
2021-09-24 03:58:14.786906 : Epoch  2, Batch    866, Loss  1.442970, Average Loss  1.449257, Time  0.440148
2021-09-24 03:58:20.203556 : Epoch  2, Batch    825, Loss  1.449843, Average Loss  1.450952, Time  0.449111
2021-09-24 03:58:20.726031 : Epoch  2, Batch    867, Loss  1.456349, Average Loss  1.449329, Time  0.443010
2021-09-24 03:58:26.152591 : Epoch  2, Batch    826, Loss  1.446083, Average Loss  1.450922, Time  0.443229
2021-09-24 03:58:26.644429 : Epoch  2, Batch    868, Loss  1.442348, Average Loss  1.449312, Time  0.445297
2021-09-24 03:58:32.104539 : Epoch  2, Batch    827, Loss  1.452791, Average Loss  1.450950, Time  0.445994
2021-09-24 03:58:32.581458 : Epoch  2, Batch    869, Loss  1.451768, Average Loss  1.449374, Time  0.453106
2021-09-24 03:58:38.070772 : Epoch  2, Batch    828, Loss  1.435002, Average Loss  1.450902, Time  0.461011
2021-09-24 03:58:38.502537 : Epoch  2, Batch    870, Loss  1.446303, Average Loss  1.449372, Time  0.440426
2021-09-24 03:58:44.022820 : Epoch  2, Batch    829, Loss  1.448635, Average Loss  1.450835, Time  0.443510
2021-09-24 03:58:44.432774 : Epoch  2, Batch    871, Loss  1.449695, Average Loss  1.449396, Time  0.440918
2021-09-24 03:58:49.985003 : Epoch  2, Batch    830, Loss  1.436111, Average Loss  1.450774, Time  0.447351
2021-09-24 03:58:50.355243 : Epoch  2, Batch    872, Loss  1.448344, Average Loss  1.449392, Time  0.441418
2021-09-24 03:58:55.938289 : Epoch  2, Batch    831, Loss  1.450124, Average Loss  1.450801, Time  0.448826
2021-09-24 03:59:01.876723 : Epoch  2, Batch    832, Loss  1.451009, Average Loss  1.450761, Time  0.451551
2021-09-24 03:59:07.830419 : Epoch  2, Batch    833, Loss  1.442798, Average Loss  1.450709, Time  0.444958
2021-09-24 03:59:13.789040 : Epoch  2, Batch    834, Loss  1.456125, Average Loss  1.450711, Time  0.446088
2021-09-24 03:59:19.753614 : Epoch  2, Batch    835, Loss  1.460771, Average Loss  1.450727, Time  0.444510
2021-09-24 03:59:25.715957 : Epoch  2, Batch    836, Loss  1.457677, Average Loss  1.450748, Time  0.459391
2021-09-24 03:59:31.660184 : Epoch  2, Batch    837, Loss  1.441764, Average Loss  1.450711, Time  0.444600
2021-09-24 03:59:37.604489 : Epoch  2, Batch    838, Loss  1.451634, Average Loss  1.450681, Time  0.447201
2021-09-24 03:59:43.555768 : Epoch  2, Batch    839, Loss  1.445334, Average Loss  1.450625, Time  0.444757
2021-09-24 03:59:49.496335 : Epoch  2, Batch    840, Loss  1.442472, Average Loss  1.450548, Time  0.446303
2021-09-24 03:59:55.440780 : Epoch  2, Batch    841, Loss  1.461622, Average Loss  1.450586, Time  0.443204
2021-09-24 04:00:01.377449 : Epoch  2, Batch    842, Loss  1.446900, Average Loss  1.450546, Time  0.444826
2021-09-24 04:00:07.322689 : Epoch  2, Batch    843, Loss  1.440690, Average Loss  1.450532, Time  0.442930
2021-09-24 04:00:13.280503 : Epoch  2, Batch    844, Loss  1.451639, Average Loss  1.450584, Time  0.459541
2021-09-24 04:00:19.218898 : Epoch  2, Batch    845, Loss  1.452263, Average Loss  1.450652, Time  0.443420
2021-09-24 04:00:25.166663 : Epoch  2, Batch    846, Loss  1.453291, Average Loss  1.450683, Time  0.446504
2021-09-24 04:00:31.102561 : Epoch  2, Batch    847, Loss  1.448648, Average Loss  1.450676, Time  0.443351
2021-09-24 04:00:37.039434 : Epoch  2, Batch    848, Loss  1.434177, Average Loss  1.450606, Time  0.446090
2021-09-24 04:00:42.984915 : Epoch  2, Batch    849, Loss  1.456810, Average Loss  1.450598, Time  0.444087
2021-09-24 04:00:48.932673 : Epoch  2, Batch    850, Loss  1.460990, Average Loss  1.450614, Time  0.445676
2021-09-24 04:00:54.881812 : Epoch  2, Batch    851, Loss  1.453680, Average Loss  1.450588, Time  0.445243
2021-09-24 04:01:00.847760 : Epoch  2, Batch    852, Loss  1.455036, Average Loss  1.450594, Time  0.463450
2021-09-24 04:01:06.792743 : Epoch  2, Batch    853, Loss  1.459122, Average Loss  1.450660, Time  0.442665
2021-09-24 04:01:12.752830 : Epoch  2, Batch    854, Loss  1.443753, Average Loss  1.450616, Time  0.448933
2021-09-24 04:01:18.698954 : Epoch  2, Batch    855, Loss  1.446733, Average Loss  1.450622, Time  0.445550
2021-09-24 04:01:24.645877 : Epoch  2, Batch    856, Loss  1.455823, Average Loss  1.450618, Time  0.443515
2021-09-24 04:01:30.589374 : Epoch  2, Batch    857, Loss  1.454710, Average Loss  1.450587, Time  0.443706
2021-09-24 04:01:36.533304 : Epoch  2, Batch    858, Loss  1.434540, Average Loss  1.450558, Time  0.444926
2021-09-24 04:01:42.479719 : Epoch  2, Batch    859, Loss  1.441962, Average Loss  1.450586, Time  0.444367
2021-09-24 04:01:48.485565 : Epoch  2, Batch    860, Loss  1.446121, Average Loss  1.450539, Time  0.458353
2021-09-24 04:01:54.425959 : Epoch  2, Batch    861, Loss  1.453895, Average Loss  1.450577, Time  0.446599
2021-09-24 04:02:00.358896 : Epoch  2, Batch    862, Loss  1.453027, Average Loss  1.450595, Time  0.443972
2021-09-24 04:02:06.310031 : Epoch  2, Batch    863, Loss  1.460603, Average Loss  1.450619, Time  0.446836
2021-09-24 04:02:12.270430 : Epoch  2, Batch    864, Loss  1.437244, Average Loss  1.450543, Time  0.444803
2021-09-24 04:02:18.218844 : Epoch  2, Batch    865, Loss  1.463304, Average Loss  1.450592, Time  0.446887
2021-09-24 04:02:24.155015 : Epoch  2, Batch    866, Loss  1.451223, Average Loss  1.450578, Time  0.443917
2021-09-24 04:02:30.104796 : Epoch  2, Batch    867, Loss  1.444146, Average Loss  1.450550, Time  0.455887
2021-09-24 04:02:36.055276 : Epoch  2, Batch    868, Loss  1.454123, Average Loss  1.450560, Time  0.443773
2021-09-24 04:02:42.013739 : Epoch  2, Batch    869, Loss  1.446185, Average Loss  1.450522, Time  0.443675
2021-09-24 04:02:47.953035 : Epoch  2, Batch    870, Loss  1.461940, Average Loss  1.450549, Time  0.444426
2021-09-24 04:02:53.890806 : Epoch  2, Batch    871, Loss  1.453794, Average Loss  1.450610, Time  0.443038
2021-09-24 04:02:59.845357 : Epoch  2, Batch    872, Loss  1.453396, Average Loss  1.450623, Time  0.444110
2021-09-24 04:03:29.582231 : CheckPoint: Validation Loss  0.00025062, Best Loss  0.00024773
2021-09-24 04:03:35.511788 : Epoch  2, Batch    873, Loss  1.449781, Average Loss  1.449384, Time  0.439769
2021-09-24 04:03:41.451390 : Epoch  2, Batch    874, Loss  1.446217, Average Loss  1.449374, Time  0.438667
2021-09-24 04:03:47.384782 : Epoch  2, Batch    875, Loss  1.440677, Average Loss  1.449256, Time  0.441369
2021-09-24 04:03:53.319895 : Epoch  2, Batch    876, Loss  1.444728, Average Loss  1.449306, Time  0.451555
2021-09-24 04:03:59.223137 : Epoch  2, Batch    877, Loss  1.457639, Average Loss  1.449376, Time  0.438525
2021-09-24 04:04:05.155205 : Epoch  2, Batch    878, Loss  1.445019, Average Loss  1.449339, Time  0.438912
2021-09-24 04:04:11.083875 : Epoch  2, Batch    879, Loss  1.447769, Average Loss  1.449332, Time  0.438632
2021-09-24 04:04:17.012518 : Epoch  2, Batch    880, Loss  1.460372, Average Loss  1.449338, Time  0.439074
2021-09-24 04:04:22.943702 : Epoch  2, Batch    881, Loss  1.436825, Average Loss  1.449254, Time  0.438591
2021-09-24 04:04:28.870309 : Epoch  2, Batch    882, Loss  1.439478, Average Loss  1.449196, Time  0.438896
2021-09-24 04:04:34.830773 : Epoch  2, Batch    883, Loss  1.457762, Average Loss  1.449206, Time  0.438912
2021-09-24 04:04:40.772231 : Epoch  2, Batch    884, Loss  1.451295, Average Loss  1.449182, Time  0.457922
2021-09-24 04:04:46.712572 : Epoch  2, Batch    885, Loss  1.445330, Average Loss  1.449165, Time  0.439991
2021-09-24 04:04:52.648295 : Epoch  2, Batch    886, Loss  1.455160, Average Loss  1.449131, Time  0.441682
2021-09-24 04:04:58.591077 : Epoch  2, Batch    887, Loss  1.451904, Average Loss  1.449159, Time  0.438508
2021-09-24 04:05:04.535772 : Epoch  2, Batch    888, Loss  1.452595, Average Loss  1.449187, Time  0.440791
2021-09-24 04:05:10.470513 : Epoch  2, Batch    889, Loss  1.443428, Average Loss  1.449218, Time  0.439412
2021-09-24 04:05:16.411506 : Epoch  2, Batch    890, Loss  1.454394, Average Loss  1.449230, Time  0.441341
2021-09-24 04:05:22.353637 : Epoch  2, Batch    891, Loss  1.453038, Average Loss  1.449249, Time  0.442361
2021-09-24 04:05:28.292508 : Epoch  2, Batch    892, Loss  1.453254, Average Loss  1.449203, Time  0.447964
2021-09-24 04:05:34.220442 : Epoch  2, Batch    893, Loss  1.450718, Average Loss  1.449209, Time  0.439263
2021-09-24 04:05:40.165564 : Epoch  2, Batch    894, Loss  1.452916, Average Loss  1.449213, Time  0.438576
2021-09-24 04:05:46.118271 : Epoch  2, Batch    895, Loss  1.450587, Average Loss  1.449207, Time  0.442415
2021-09-24 04:05:52.053386 : Epoch  2, Batch    896, Loss  1.460539, Average Loss  1.449303, Time  0.440327
2021-09-24 04:05:58.007601 : Epoch  2, Batch    897, Loss  1.452967, Average Loss  1.449332, Time  0.450260
2021-09-24 04:06:03.938846 : Epoch  2, Batch    898, Loss  1.449108, Average Loss  1.449364, Time  0.440424
2021-09-24 04:06:09.867103 : Epoch  2, Batch    899, Loss  1.457681, Average Loss  1.449388, Time  0.441360
2021-09-24 04:06:15.813465 : Epoch  2, Batch    900, Loss  1.457009, Average Loss  1.449422, Time  0.454970
2021-09-24 04:06:21.763938 : Epoch  2, Batch    901, Loss  1.441175, Average Loss  1.449446, Time  0.439360
2021-09-24 04:06:27.693439 : Epoch  2, Batch    902, Loss  1.451484, Average Loss  1.449428, Time  0.439976
2021-09-24 04:06:33.637119 : Epoch  2, Batch    903, Loss  1.448675, Average Loss  1.449413, Time  0.438672
2021-09-24 04:06:39.572571 : Epoch  2, Batch    904, Loss  1.446432, Average Loss  1.449417, Time  0.439413
2021-09-24 04:06:45.512653 : Epoch  2, Batch    905, Loss  1.450721, Average Loss  1.449486, Time  0.440226
2021-09-24 04:06:51.444575 : Epoch  2, Batch    906, Loss  1.455426, Average Loss  1.449443, Time  0.440173
2021-09-24 04:06:57.394121 : Epoch  2, Batch    907, Loss  1.457431, Average Loss  1.449597, Time  0.450614
2021-09-24 04:07:03.326985 : Epoch  2, Batch    908, Loss  1.443498, Average Loss  1.449506, Time  0.440737
2021-09-24 04:07:09.254778 : Epoch  2, Batch    909, Loss  1.456983, Average Loss  1.449562, Time  0.442519
2021-09-24 04:07:15.198978 : Epoch  2, Batch    910, Loss  1.452876, Average Loss  1.449652, Time  0.441421
2021-09-24 04:07:21.116509 : Epoch  2, Batch    911, Loss  1.457942, Average Loss  1.449676, Time  0.440484
2021-09-24 04:07:27.050058 : Epoch  2, Batch    912, Loss  1.439944, Average Loss  1.449659, Time  0.441118
2021-09-24 04:07:32.977810 : Epoch  2, Batch    913, Loss  1.454011, Average Loss  1.449691, Time  0.439300
2021-09-24 04:07:38.921423 : Epoch  2, Batch    914, Loss  1.439344, Average Loss  1.449676, Time  0.439230
2021-09-24 04:07:41.128438 : CheckPoint: Validation Loss  0.00024587, Best Loss  0.00024587
2021-09-24 04:07:41.167606 : Best Model Updated
2021-09-24 04:07:44.847366 : Epoch  2, Batch    915, Loss  1.452270, Average Loss  1.449722, Time  0.447021
2021-09-24 04:07:47.950935 : Epoch  2, Batch    873, Loss  1.450471, Average Loss  1.450617, Time  0.458650
2021-09-24 04:07:50.770075 : Epoch  2, Batch    916, Loss  1.452121, Average Loss  1.449794, Time  0.438920
2021-09-24 04:07:53.908287 : Epoch  2, Batch    874, Loss  1.427876, Average Loss  1.450529, Time  0.443327
2021-09-24 04:07:56.680825 : Epoch  2, Batch    917, Loss  1.454330, Average Loss  1.449803, Time  0.440015
2021-09-24 04:07:59.876332 : Epoch  2, Batch    875, Loss  1.451329, Average Loss  1.450560, Time  0.445729
2021-09-24 04:08:02.595371 : Epoch  2, Batch    918, Loss  1.454978, Average Loss  1.449794, Time  0.439507
2021-09-24 04:08:05.835969 : Epoch  2, Batch    876, Loss  1.458226, Average Loss  1.450508, Time  0.446091
2021-09-24 04:08:08.511667 : Epoch  2, Batch    919, Loss  1.456736, Average Loss  1.449830, Time  0.440144
2021-09-24 04:08:11.769027 : Epoch  2, Batch    877, Loss  1.444956, Average Loss  1.450477, Time  0.444066
2021-09-24 04:08:14.423626 : Epoch  2, Batch    920, Loss  1.446735, Average Loss  1.449798, Time  0.438751
2021-09-24 04:08:17.710663 : Epoch  2, Batch    878, Loss  1.443842, Average Loss  1.450457, Time  0.443205
2021-09-24 04:08:20.338156 : Epoch  2, Batch    921, Loss  1.443941, Average Loss  1.449775, Time  0.443265
2021-09-24 04:08:23.671593 : Epoch  2, Batch    879, Loss  1.439371, Average Loss  1.450434, Time  0.445180
2021-09-24 04:08:26.265780 : Epoch  2, Batch    922, Loss  1.459737, Average Loss  1.449867, Time  0.439567
2021-09-24 04:08:29.625926 : Epoch  2, Batch    880, Loss  1.464450, Average Loss  1.450456, Time  0.446796
2021-09-24 04:08:32.221849 : Epoch  2, Batch    923, Loss  1.439772, Average Loss  1.449765, Time  0.452472
2021-09-24 04:08:35.578974 : Epoch  2, Batch    881, Loss  1.460917, Average Loss  1.450511, Time  0.461975
2021-09-24 04:08:38.139573 : Epoch  2, Batch    924, Loss  1.454398, Average Loss  1.449800, Time  0.438754
2021-09-24 04:08:41.522349 : Epoch  2, Batch    882, Loss  1.438060, Average Loss  1.450462, Time  0.444246
2021-09-24 04:08:44.073520 : Epoch  2, Batch    925, Loss  1.444512, Average Loss  1.449785, Time  0.440560
2021-09-24 04:08:47.488938 : Epoch  2, Batch    883, Loss  1.456381, Average Loss  1.450501, Time  0.448363
2021-09-24 04:08:50.000846 : Epoch  2, Batch    926, Loss  1.439901, Average Loss  1.449694, Time  0.439610
2021-09-24 04:08:53.466950 : Epoch  2, Batch    884, Loss  1.461725, Average Loss  1.450594, Time  0.445937
2021-09-24 04:08:55.939457 : Epoch  2, Batch    927, Loss  1.454872, Average Loss  1.449695, Time  0.438784
2021-09-24 04:08:59.452109 : Epoch  2, Batch    885, Loss  1.462812, Average Loss  1.450634, Time  0.446086
2021-09-24 04:09:01.855937 : Epoch  2, Batch    928, Loss  1.448319, Average Loss  1.449684, Time  0.439084
2021-09-24 04:09:01.885833 : Saving Model after 2-th Epoch.
2021-09-24 04:09:02.666017 : Epoch Finished.
2021-09-24 04:09:05.430616 : Epoch  2, Batch    886, Loss  1.438575, Average Loss  1.450594, Time  0.451388
2021-09-24 04:09:08.164071 : Batch Shuffled
2021-09-24 04:09:11.388799 : Epoch  2, Batch    887, Loss  1.453731, Average Loss  1.450611, Time  0.443122
2021-09-24 04:09:14.126551 : Epoch  3, Batch      1, Loss  1.445238, Average Loss  1.449615, Time  0.439131
2021-09-24 04:09:17.362477 : Epoch  2, Batch    888, Loss  1.444212, Average Loss  1.450584, Time  0.446496
2021-09-24 04:09:20.064021 : Epoch  3, Batch      2, Loss  1.436993, Average Loss  1.449575, Time  0.451854
2021-09-24 04:09:23.348863 : Epoch  2, Batch    889, Loss  1.459433, Average Loss  1.450637, Time  0.460927
2021-09-24 04:09:26.004842 : Epoch  3, Batch      3, Loss  1.448963, Average Loss  1.449537, Time  0.442928
2021-09-24 04:09:29.318658 : Epoch  2, Batch    890, Loss  1.443897, Average Loss  1.450628, Time  0.446579
2021-09-24 04:09:31.932592 : Epoch  3, Batch      4, Loss  1.447563, Average Loss  1.449595, Time  0.439424
2021-09-24 04:09:35.277188 : Epoch  2, Batch    891, Loss  1.448345, Average Loss  1.450610, Time  0.444220
2021-09-24 04:09:37.863753 : Epoch  3, Batch      5, Loss  1.444127, Average Loss  1.449562, Time  0.442172
2021-09-24 04:09:41.240337 : Epoch  2, Batch    892, Loss  1.453164, Average Loss  1.450610, Time  0.444154
2021-09-24 04:09:43.807403 : Epoch  3, Batch      6, Loss  1.448642, Average Loss  1.449525, Time  0.439511
2021-09-24 04:09:47.206844 : Epoch  2, Batch    893, Loss  1.451800, Average Loss  1.450589, Time  0.449333
2021-09-24 04:09:49.720598 : Epoch  3, Batch      7, Loss  1.454795, Average Loss  1.449556, Time  0.439437
2021-09-24 04:09:53.148847 : Epoch  2, Batch    894, Loss  1.454187, Average Loss  1.450658, Time  0.442682
2021-09-24 04:09:55.641296 : Epoch  3, Batch      8, Loss  1.468350, Average Loss  1.449685, Time  0.441260
2021-09-24 04:09:59.125655 : Epoch  2, Batch    895, Loss  1.452678, Average Loss  1.450645, Time  0.443639
2021-09-24 04:10:01.584535 : Epoch  3, Batch      9, Loss  1.443757, Average Loss  1.449685, Time  0.454912
2021-09-24 04:10:05.124030 : Epoch  2, Batch    896, Loss  1.451354, Average Loss  1.450667, Time  0.460828
2021-09-24 04:10:07.498968 : Epoch  3, Batch     10, Loss  1.451628, Average Loss  1.449710, Time  0.439920
2021-09-24 04:10:11.070944 : Epoch  2, Batch    897, Loss  1.459211, Average Loss  1.450695, Time  0.443846
2021-09-24 04:10:13.418742 : Epoch  3, Batch     11, Loss  1.455368, Average Loss  1.449705, Time  0.439695
2021-09-24 04:10:17.016401 : Epoch  2, Batch    898, Loss  1.440933, Average Loss  1.450579, Time  0.443184
2021-09-24 04:10:19.331835 : Epoch  3, Batch     12, Loss  1.441925, Average Loss  1.449708, Time  0.439729
2021-09-24 04:10:22.968532 : Epoch  2, Batch    899, Loss  1.450998, Average Loss  1.450564, Time  0.443005
2021-09-24 04:10:25.263312 : Epoch  3, Batch     13, Loss  1.455305, Average Loss  1.449767, Time  0.440813
2021-09-24 04:10:28.940374 : Epoch  2, Batch    900, Loss  1.455301, Average Loss  1.450617, Time  0.454360
2021-09-24 04:10:31.209765 : Epoch  3, Batch     14, Loss  1.451605, Average Loss  1.449750, Time  0.440460
2021-09-24 04:10:34.899228 : Epoch  2, Batch    901, Loss  1.451185, Average Loss  1.450686, Time  0.445470
2021-09-24 04:10:37.136685 : Epoch  3, Batch     15, Loss  1.470301, Average Loss  1.449848, Time  0.439137
2021-09-24 04:10:40.851410 : Epoch  2, Batch    902, Loss  1.455637, Average Loss  1.450722, Time  0.444979
2021-09-24 04:10:43.083724 : Epoch  3, Batch     16, Loss  1.441840, Average Loss  1.449849, Time  0.439011
2021-09-24 04:10:46.810334 : Epoch  2, Batch    903, Loss  1.452937, Average Loss  1.450710, Time  0.443468
2021-09-24 04:10:49.041606 : Epoch  3, Batch     17, Loss  1.452486, Average Loss  1.449818, Time  0.455658
2021-09-24 04:10:52.771568 : Epoch  2, Batch    904, Loss  1.451762, Average Loss  1.450736, Time  0.461076
2021-09-24 04:10:54.970299 : Epoch  3, Batch     18, Loss  1.460511, Average Loss  1.449940, Time  0.439717
2021-09-24 04:10:58.740382 : Epoch  2, Batch    905, Loss  1.455060, Average Loss  1.450847, Time  0.448842
2021-09-24 04:11:00.902760 : Epoch  3, Batch     19, Loss  1.434787, Average Loss  1.449879, Time  0.440776
2021-09-24 04:11:04.696602 : Epoch  2, Batch    906, Loss  1.445305, Average Loss  1.450789, Time  0.444832
2021-09-24 04:11:06.814888 : Epoch  3, Batch     20, Loss  1.453327, Average Loss  1.449875, Time  0.447656
2021-09-24 04:11:10.632334 : Epoch  2, Batch    907, Loss  1.452974, Average Loss  1.450764, Time  0.445219
2021-09-24 04:11:12.736894 : Epoch  3, Batch     21, Loss  1.450893, Average Loss  1.449855, Time  0.438454
2021-09-24 04:11:16.614865 : Epoch  2, Batch    908, Loss  1.461365, Average Loss  1.450822, Time  0.448064
2021-09-24 04:11:18.660823 : Epoch  3, Batch     22, Loss  1.452616, Average Loss  1.449922, Time  0.442729
2021-09-24 04:11:22.576818 : Epoch  2, Batch    909, Loss  1.441895, Average Loss  1.450737, Time  0.442890
2021-09-24 04:11:24.591153 : Epoch  3, Batch     23, Loss  1.458061, Average Loss  1.449992, Time  0.441379
2021-09-24 04:11:28.531483 : Epoch  2, Batch    910, Loss  1.445661, Average Loss  1.450618, Time  0.446875
2021-09-24 04:11:30.538011 : Epoch  3, Batch     24, Loss  1.457350, Average Loss  1.450025, Time  0.443262
2021-09-24 04:11:34.494673 : Epoch  2, Batch    911, Loss  1.441901, Average Loss  1.450575, Time  0.446727
2021-09-24 04:11:36.481842 : Epoch  3, Batch     25, Loss  1.456243, Average Loss  1.450002, Time  0.447074
2021-09-24 04:11:40.453543 : Epoch  2, Batch    912, Loss  1.443123, Average Loss  1.450593, Time  0.454373
2021-09-24 04:11:42.407943 : Epoch  3, Batch     26, Loss  1.454072, Average Loss  1.449957, Time  0.439165
2021-09-24 04:11:46.431376 : Epoch  2, Batch    913, Loss  1.454496, Average Loss  1.450609, Time  0.445971
2021-09-24 04:11:48.307331 : Epoch  3, Batch     27, Loss  1.451249, Average Loss  1.449954, Time  0.440354
2021-09-24 04:11:52.397904 : Epoch  2, Batch    914, Loss  1.447451, Average Loss  1.450655, Time  0.447612
2021-09-24 04:11:54.233770 : Epoch  3, Batch     28, Loss  1.453338, Average Loss  1.449958, Time  0.439170
2021-09-24 04:11:58.373154 : Epoch  2, Batch    915, Loss  1.453690, Average Loss  1.450668, Time  0.443388
2021-09-24 04:12:00.171797 : Epoch  3, Batch     29, Loss  1.450859, Average Loss  1.449952, Time  0.439641
2021-09-24 04:12:04.329715 : Epoch  2, Batch    916, Loss  1.446187, Average Loss  1.450641, Time  0.443900
2021-09-24 04:12:06.094459 : Epoch  3, Batch     30, Loss  1.454527, Average Loss  1.449975, Time  0.442546
2021-09-24 04:12:10.293867 : Epoch  2, Batch    917, Loss  1.447642, Average Loss  1.450595, Time  0.443627
2021-09-24 04:12:12.028547 : Epoch  3, Batch     31, Loss  1.450349, Average Loss  1.450007, Time  0.438507
2021-09-24 04:12:16.238875 : Epoch  2, Batch    918, Loss  1.451322, Average Loss  1.450619, Time  0.446468
2021-09-24 04:12:17.949293 : Epoch  3, Batch     32, Loss  1.459881, Average Loss  1.450018, Time  0.441942
2021-09-24 04:12:22.203909 : Epoch  2, Batch    919, Loss  1.454453, Average Loss  1.450632, Time  0.459754
2021-09-24 04:12:23.904523 : Epoch  3, Batch     33, Loss  1.446074, Average Loss  1.449967, Time  0.448088
2021-09-24 04:12:28.162619 : Epoch  2, Batch    920, Loss  1.453388, Average Loss  1.450684, Time  0.442983
2021-09-24 04:12:29.831493 : Epoch  3, Batch     34, Loss  1.462577, Average Loss  1.449983, Time  0.441562
2021-09-24 04:12:34.122851 : Epoch  2, Batch    921, Loss  1.450899, Average Loss  1.450717, Time  0.446456
2021-09-24 04:12:35.758795 : Epoch  3, Batch     35, Loss  1.442584, Average Loss  1.450009, Time  0.440617
2021-09-24 04:12:40.096463 : Epoch  2, Batch    922, Loss  1.466216, Average Loss  1.450748, Time  0.448674
2021-09-24 04:12:41.696161 : Epoch  3, Batch     36, Loss  1.443302, Average Loss  1.449919, Time  0.446160
2021-09-24 04:12:46.063915 : Epoch  2, Batch    923, Loss  1.435174, Average Loss  1.450623, Time  0.445355
2021-09-24 04:12:47.602434 : Epoch  3, Batch     37, Loss  1.455773, Average Loss  1.449918, Time  0.438375
2021-09-24 04:12:52.027546 : Epoch  2, Batch    924, Loss  1.439617, Average Loss  1.450574, Time  0.444524
2021-09-24 04:12:53.540785 : Epoch  3, Batch     38, Loss  1.451633, Average Loss  1.449875, Time  0.439142
2021-09-24 04:12:57.994060 : Epoch  2, Batch    925, Loss  1.459397, Average Loss  1.450589, Time  0.446489
2021-09-24 04:12:59.486855 : Epoch  3, Batch     39, Loss  1.448862, Average Loss  1.449847, Time  0.442750
2021-09-24 04:13:03.949971 : Epoch  2, Batch    926, Loss  1.445122, Average Loss  1.450544, Time  0.446595
2021-09-24 04:13:05.402544 : Epoch  3, Batch     40, Loss  1.448617, Average Loss  1.449816, Time  0.448828
2021-09-24 04:13:09.902035 : Epoch  2, Batch    927, Loss  1.444396, Average Loss  1.450475, Time  0.459317
2021-09-24 04:13:11.332905 : Epoch  3, Batch     41, Loss  1.453015, Average Loss  1.449888, Time  0.440179
2021-09-24 04:13:15.866616 : Epoch  2, Batch    928, Loss  1.448298, Average Loss  1.450502, Time  0.459176
2021-09-24 04:13:15.900420 : Saving Model after 2-th Epoch.
2021-09-24 04:13:16.692550 : Epoch Finished.
2021-09-24 04:13:17.274521 : Epoch  3, Batch     42, Loss  1.451429, Average Loss  1.449889, Time  0.440437
2021-09-24 04:13:22.920088 : Batch Shuffled
2021-09-24 04:13:23.206927 : Epoch  3, Batch     43, Loss  1.448362, Average Loss  1.449890, Time  0.440005
2021-09-24 04:13:28.932160 : Epoch  3, Batch      1, Loss  1.457602, Average Loss  1.450544, Time  0.444568
2021-09-24 04:13:29.131439 : Epoch  3, Batch     44, Loss  1.453306, Average Loss  1.449943, Time  0.440025
2021-09-24 04:13:34.992568 : Epoch  3, Batch      2, Loss  1.448002, Average Loss  1.450525, Time  0.447401
2021-09-24 04:13:40.983738 : Epoch  3, Batch      3, Loss  1.461608, Average Loss  1.450550, Time  0.442837
2021-09-24 04:13:46.983512 : Epoch  3, Batch      4, Loss  1.453357, Average Loss  1.450598, Time  0.446099
2021-09-24 04:13:52.994392 : Epoch  3, Batch      5, Loss  1.442216, Average Loss  1.450579, Time  0.456073
2021-09-24 04:13:58.995849 : Epoch  3, Batch      6, Loss  1.446243, Average Loss  1.450523, Time  0.444588
2021-09-24 04:14:05.020871 : Epoch  3, Batch      7, Loss  1.457244, Average Loss  1.450576, Time  0.444313
2021-09-24 04:14:11.011164 : Epoch  3, Batch      8, Loss  1.428051, Average Loss  1.450538, Time  0.444715
2021-09-24 04:14:17.015391 : Epoch  3, Batch      9, Loss  1.461835, Average Loss  1.450634, Time  0.448045
2021-09-24 04:14:23.027430 : Epoch  3, Batch     10, Loss  1.454365, Average Loss  1.450624, Time  0.447047
2021-09-24 04:14:29.019358 : Epoch  3, Batch     11, Loss  1.452348, Average Loss  1.450605, Time  0.443164
2021-09-24 04:14:35.004226 : Epoch  3, Batch     12, Loss  1.434628, Average Loss  1.450442, Time  0.444077
2021-09-24 04:14:41.015896 : Epoch  3, Batch     13, Loss  1.447786, Average Loss  1.450427, Time  0.459171
2021-09-24 04:14:47.018626 : Epoch  3, Batch     14, Loss  1.446737, Average Loss  1.450374, Time  0.445385
2021-09-24 04:14:53.045912 : Epoch  3, Batch     15, Loss  1.458189, Average Loss  1.450384, Time  0.454546
2021-09-24 04:14:59.050643 : Epoch  3, Batch     16, Loss  1.446025, Average Loss  1.450331, Time  0.453690
2021-09-24 04:15:05.049047 : Epoch  3, Batch     17, Loss  1.456866, Average Loss  1.450407, Time  0.445616
2021-09-24 04:15:11.045979 : Epoch  3, Batch     18, Loss  1.437813, Average Loss  1.450356, Time  0.445108
2021-09-24 04:15:17.063472 : Epoch  3, Batch     19, Loss  1.445977, Average Loss  1.450255, Time  0.443105
2021-09-24 04:15:23.085113 : Epoch  3, Batch     20, Loss  1.451054, Average Loss  1.450239, Time  0.455565
2021-09-24 04:15:29.104156 : Epoch  3, Batch     21, Loss  1.445730, Average Loss  1.450193, Time  0.444668
2021-09-24 04:15:35.105123 : Epoch  3, Batch     22, Loss  1.463134, Average Loss  1.450229, Time  0.444033
2021-09-24 04:15:41.105034 : Epoch  3, Batch     23, Loss  1.449409, Average Loss  1.450161, Time  0.446577
2021-09-24 04:15:47.107702 : Epoch  3, Batch     24, Loss  1.457326, Average Loss  1.450145, Time  0.443080
2021-09-24 04:15:53.103434 : Epoch  3, Batch     25, Loss  1.446733, Average Loss  1.450135, Time  0.443243
2021-09-24 04:15:59.094451 : Epoch  3, Batch     26, Loss  1.440178, Average Loss  1.450077, Time  0.445090
2021-09-24 04:16:05.095138 : Epoch  3, Batch     27, Loss  1.448384, Average Loss  1.450047, Time  0.443656
2021-09-24 04:16:11.106081 : Epoch  3, Batch     28, Loss  1.454430, Average Loss  1.450132, Time  0.463305
2021-09-24 04:16:17.123610 : Epoch  3, Batch     29, Loss  1.450882, Average Loss  1.450101, Time  0.448016
2021-09-24 04:16:23.142689 : Epoch  3, Batch     30, Loss  1.457674, Average Loss  1.450047, Time  0.447620
2021-09-24 04:16:29.145786 : Epoch  3, Batch     31, Loss  1.449565, Average Loss  1.450080, Time  0.443459
2021-09-24 04:16:35.153168 : Epoch  3, Batch     32, Loss  1.451664, Average Loss  1.450056, Time  0.446304
2021-09-24 04:16:41.149520 : Epoch  3, Batch     33, Loss  1.429154, Average Loss  1.449987, Time  0.444069
2021-09-24 04:16:47.163065 : Epoch  3, Batch     34, Loss  1.440140, Average Loss  1.449945, Time  0.447777
2021-09-24 04:16:53.181422 : Epoch  3, Batch     35, Loss  1.451737, Average Loss  1.449955, Time  0.451052
2021-09-24 04:16:59.188402 : Epoch  3, Batch     36, Loss  1.447230, Average Loss  1.449969, Time  0.447676
2021-09-24 04:17:05.192241 : Epoch  3, Batch     37, Loss  1.445662, Average Loss  1.449962, Time  0.444665
2021-09-24 04:17:11.161576 : Epoch  3, Batch     38, Loss  1.449471, Average Loss  1.449980, Time  0.444287
2021-09-24 04:17:17.177640 : Epoch  3, Batch     39, Loss  1.451757, Average Loss  1.449993, Time  0.450064
2021-09-24 04:17:23.153836 : Epoch  3, Batch     40, Loss  1.452013, Average Loss  1.449970, Time  0.446482
2021-09-24 04:17:29.144069 : Epoch  3, Batch     41, Loss  1.440818, Average Loss  1.449929, Time  0.443708
2021-09-24 04:17:35.121841 : Epoch  3, Batch     42, Loss  1.429649, Average Loss  1.449751, Time  0.444170
2021-09-24 04:17:41.139603 : Epoch  3, Batch     43, Loss  1.455521, Average Loss  1.449768, Time  0.455608
2021-09-24 04:17:47.137813 : Epoch  3, Batch     44, Loss  1.438800, Average Loss  1.449716, Time  0.443995
2021-09-24 04:18:07.941841 : CheckPoint: Validation Loss  0.00024981, Best Loss  0.00024773
2021-09-24 04:18:13.880635 : Epoch  3, Batch     45, Loss  1.457382, Average Loss  1.449948, Time  0.438935
2021-09-24 04:18:19.858054 : Epoch  3, Batch     46, Loss  1.448562, Average Loss  1.449943, Time  0.446666
2021-09-24 04:18:25.839779 : Epoch  3, Batch     47, Loss  1.453458, Average Loss  1.449986, Time  0.453253
2021-09-24 04:18:31.781845 : Epoch  3, Batch     48, Loss  1.449840, Average Loss  1.449999, Time  0.438866
2021-09-24 04:18:37.720411 : Epoch  3, Batch     49, Loss  1.452490, Average Loss  1.450055, Time  0.446562
2021-09-24 04:18:43.655661 : Epoch  3, Batch     50, Loss  1.458989, Average Loss  1.450067, Time  0.439176
2021-09-24 04:18:49.593931 : Epoch  3, Batch     51, Loss  1.446278, Average Loss  1.450081, Time  0.440402
2021-09-24 04:18:55.553263 : Epoch  3, Batch     52, Loss  1.455052, Average Loss  1.450090, Time  0.440590
2021-09-24 04:19:01.494388 : Epoch  3, Batch     53, Loss  1.450105, Average Loss  1.450172, Time  0.441767
2021-09-24 04:19:07.438548 : Epoch  3, Batch     54, Loss  1.450047, Average Loss  1.450193, Time  0.438824
2021-09-24 04:19:13.386730 : Epoch  3, Batch     55, Loss  1.450219, Average Loss  1.450178, Time  0.447483
2021-09-24 04:19:19.338051 : Epoch  3, Batch     56, Loss  1.445512, Average Loss  1.450106, Time  0.439312
2021-09-24 04:19:25.279850 : Epoch  3, Batch     57, Loss  1.443842, Average Loss  1.450088, Time  0.439133
2021-09-24 04:19:31.216847 : Epoch  3, Batch     58, Loss  1.441412, Average Loss  1.450055, Time  0.441350
2021-09-24 04:19:37.167569 : Epoch  3, Batch     59, Loss  1.456563, Average Loss  1.450104, Time  0.442119
2021-09-24 04:19:43.125560 : Epoch  3, Batch     60, Loss  1.437246, Average Loss  1.450042, Time  0.441386
2021-09-24 04:19:49.061237 : Epoch  3, Batch     61, Loss  1.448316, Average Loss  1.449993, Time  0.438657
2021-09-24 04:19:55.002392 : Epoch  3, Batch     62, Loss  1.452507, Average Loss  1.450093, Time  0.445349
2021-09-24 04:20:00.967495 : Epoch  3, Batch     63, Loss  1.440666, Average Loss  1.449997, Time  0.451304
2021-09-24 04:20:06.908276 : Epoch  3, Batch     64, Loss  1.446010, Average Loss  1.450065, Time  0.448121
2021-09-24 04:20:12.855323 : Epoch  3, Batch     65, Loss  1.449947, Average Loss  1.450087, Time  0.439308
2021-09-24 04:20:18.794918 : Epoch  3, Batch     66, Loss  1.444019, Average Loss  1.450025, Time  0.439538
2021-09-24 04:20:24.733740 : Epoch  3, Batch     67, Loss  1.440406, Average Loss  1.449984, Time  0.439426
2021-09-24 04:20:30.678697 : Epoch  3, Batch     68, Loss  1.450961, Average Loss  1.450028, Time  0.440599
2021-09-24 04:20:36.649198 : Epoch  3, Batch     69, Loss  1.454067, Average Loss  1.449997, Time  0.445826
2021-09-24 04:20:42.640262 : Epoch  3, Batch     70, Loss  1.448798, Average Loss  1.449992, Time  0.446230
2021-09-24 04:20:48.591914 : Epoch  3, Batch     71, Loss  1.449056, Average Loss  1.450032, Time  0.438879
2021-09-24 04:20:54.544793 : Epoch  3, Batch     72, Loss  1.441134, Average Loss  1.450042, Time  0.438740
2021-09-24 04:21:00.495967 : Epoch  3, Batch     73, Loss  1.457788, Average Loss  1.450117, Time  0.439237
2021-09-24 04:21:06.437771 : Epoch  3, Batch     74, Loss  1.439227, Average Loss  1.450083, Time  0.441369
2021-09-24 04:21:12.396459 : Epoch  3, Batch     75, Loss  1.444452, Average Loss  1.450026, Time  0.440837
2021-09-24 04:21:18.344256 : Epoch  3, Batch     76, Loss  1.446691, Average Loss  1.450028, Time  0.439883
2021-09-24 04:21:24.307129 : Epoch  3, Batch     77, Loss  1.455979, Average Loss  1.450076, Time  0.439272
2021-09-24 04:21:30.254873 : Epoch  3, Batch     78, Loss  1.450559, Average Loss  1.450073, Time  0.447119
2021-09-24 04:21:36.207258 : Epoch  3, Batch     79, Loss  1.444880, Average Loss  1.450041, Time  0.439124
2021-09-24 04:21:42.173786 : Epoch  3, Batch     80, Loss  1.441400, Average Loss  1.450043, Time  0.445836
2021-09-24 04:21:48.133372 : Epoch  3, Batch     81, Loss  1.450197, Average Loss  1.450021, Time  0.439332
2021-09-24 04:21:54.071983 : Epoch  3, Batch     82, Loss  1.450250, Average Loss  1.449990, Time  0.439530
2021-09-24 04:22:00.021471 : Epoch  3, Batch     83, Loss  1.436989, Average Loss  1.449916, Time  0.441245
2021-09-24 04:22:05.970286 : Epoch  3, Batch     84, Loss  1.444885, Average Loss  1.449891, Time  0.439143
2021-09-24 04:22:11.933104 : Epoch  3, Batch     85, Loss  1.451374, Average Loss  1.449871, Time  0.439188
2021-09-24 04:22:17.882150 : Epoch  3, Batch     86, Loss  1.449245, Average Loss  1.449839, Time  0.447658
2021-09-24 04:22:23.833958 : Epoch  3, Batch     87, Loss  1.457926, Average Loss  1.449863, Time  0.439675
2021-09-24 04:22:29.257193 : CheckPoint: Validation Loss  0.00025119, Best Loss  0.00024587
2021-09-24 04:22:29.761865 : Epoch  3, Batch     88, Loss  1.452657, Average Loss  1.449884, Time  0.439046
2021-09-24 04:22:35.260434 : Epoch  3, Batch     45, Loss  1.456118, Average Loss  1.449804, Time  0.446674
2021-09-24 04:22:35.701804 : Epoch  3, Batch     89, Loss  1.451281, Average Loss  1.449842, Time  0.438960
2021-09-24 04:22:41.267829 : Epoch  3, Batch     46, Loss  1.445948, Average Loss  1.449783, Time  0.443308
2021-09-24 04:22:41.649619 : Epoch  3, Batch     90, Loss  1.456728, Average Loss  1.449876, Time  0.440491
2021-09-24 04:22:47.263711 : Epoch  3, Batch     47, Loss  1.451398, Average Loss  1.449758, Time  0.445028
2021-09-24 04:22:47.597139 : Epoch  3, Batch     91, Loss  1.454074, Average Loss  1.449907, Time  0.440536
2021-09-24 04:22:53.255884 : Epoch  3, Batch     48, Loss  1.444451, Average Loss  1.449763, Time  0.444599
2021-09-24 04:22:53.559512 : Epoch  3, Batch     92, Loss  1.444125, Average Loss  1.449933, Time  0.441824
2021-09-24 04:22:59.252196 : Epoch  3, Batch     49, Loss  1.457759, Average Loss  1.449827, Time  0.457344
2021-09-24 04:22:59.516724 : Epoch  3, Batch     93, Loss  1.447311, Average Loss  1.449906, Time  0.447576
2021-09-24 04:23:05.242041 : Epoch  3, Batch     50, Loss  1.453798, Average Loss  1.449852, Time  0.444673
2021-09-24 04:23:05.487372 : Epoch  3, Batch     94, Loss  1.452658, Average Loss  1.449961, Time  0.441583
2021-09-24 04:23:11.233195 : Epoch  3, Batch     51, Loss  1.445985, Average Loss  1.449854, Time  0.446223
2021-09-24 04:23:11.418512 : Epoch  3, Batch     95, Loss  1.464235, Average Loss  1.450103, Time  0.442591
2021-09-24 04:23:17.196015 : Epoch  3, Batch     52, Loss  1.450984, Average Loss  1.449766, Time  0.444606
2021-09-24 04:23:17.335252 : Epoch  3, Batch     96, Loss  1.453504, Average Loss  1.450026, Time  0.441869
2021-09-24 04:23:23.190780 : Epoch  3, Batch     53, Loss  1.451533, Average Loss  1.449787, Time  0.446335
2021-09-24 04:23:23.280359 : Epoch  3, Batch     97, Loss  1.439954, Average Loss  1.449993, Time  0.439010
2021-09-24 04:23:29.189813 : Epoch  3, Batch     54, Loss  1.443927, Average Loss  1.449781, Time  0.452437
2021-09-24 04:23:29.225193 : Epoch  3, Batch     98, Loss  1.442471, Average Loss  1.450013, Time  0.441337
2021-09-24 04:23:35.173879 : Epoch  3, Batch     99, Loss  1.458637, Average Loss  1.450013, Time  0.439813
2021-09-24 04:23:35.201056 : Epoch  3, Batch     55, Loss  1.443318, Average Loss  1.449713, Time  0.444401
2021-09-24 04:23:41.110792 : Epoch  3, Batch    100, Loss  1.463201, Average Loss  1.450063, Time  0.439427
2021-09-24 04:23:41.213970 : Epoch  3, Batch     56, Loss  1.434113, Average Loss  1.449670, Time  0.456158
2021-09-24 04:23:47.082868 : Epoch  3, Batch    101, Loss  1.453466, Average Loss  1.450092, Time  0.450293
2021-09-24 04:23:47.191193 : Epoch  3, Batch     57, Loss  1.445184, Average Loss  1.449659, Time  0.446396
2021-09-24 04:23:53.038193 : Epoch  3, Batch    102, Loss  1.442112, Average Loss  1.450056, Time  0.440257
2021-09-24 04:23:53.168036 : Epoch  3, Batch     58, Loss  1.453397, Average Loss  1.449665, Time  0.450068
2021-09-24 04:23:58.971838 : Epoch  3, Batch    103, Loss  1.430287, Average Loss  1.449932, Time  0.439582
2021-09-24 04:23:59.143719 : Epoch  3, Batch     59, Loss  1.464202, Average Loss  1.449682, Time  0.444572
2021-09-24 04:24:04.918647 : Epoch  3, Batch    104, Loss  1.446103, Average Loss  1.449963, Time  0.440046
2021-09-24 04:24:05.122857 : Epoch  3, Batch     60, Loss  1.456133, Average Loss  1.449675, Time  0.451205
2021-09-24 04:24:10.863901 : Epoch  3, Batch    105, Loss  1.446130, Average Loss  1.449975, Time  0.439498
2021-09-24 04:24:11.077001 : Epoch  3, Batch     61, Loss  1.451556, Average Loss  1.449669, Time  0.445094
2021-09-24 04:24:16.805486 : Epoch  3, Batch    106, Loss  1.444587, Average Loss  1.450009, Time  0.438605
2021-09-24 04:24:17.042068 : Epoch  3, Batch     62, Loss  1.453401, Average Loss  1.449779, Time  0.448034
2021-09-24 04:24:22.758956 : Epoch  3, Batch    107, Loss  1.454240, Average Loss  1.450083, Time  0.439245
2021-09-24 04:24:23.010323 : Epoch  3, Batch     63, Loss  1.450438, Average Loss  1.449757, Time  0.442823
2021-09-24 04:24:28.707030 : Epoch  3, Batch    108, Loss  1.444370, Average Loss  1.450077, Time  0.440779
2021-09-24 04:24:28.983816 : Epoch  3, Batch     64, Loss  1.451039, Average Loss  1.449759, Time  0.457469
2021-09-24 04:24:34.666994 : Epoch  3, Batch    109, Loss  1.446062, Average Loss  1.450169, Time  0.453870
2021-09-24 04:24:34.951795 : Epoch  3, Batch     65, Loss  1.446696, Average Loss  1.449768, Time  0.443735
2021-09-24 04:24:40.630839 : Epoch  3, Batch    110, Loss  1.443674, Average Loss  1.450184, Time  0.442485
2021-09-24 04:24:40.924213 : Epoch  3, Batch     66, Loss  1.447432, Average Loss  1.449776, Time  0.445543
2021-09-24 04:24:46.552048 : Epoch  3, Batch    111, Loss  1.443865, Average Loss  1.450129, Time  0.438323
2021-09-24 04:24:46.882171 : Epoch  3, Batch     67, Loss  1.441824, Average Loss  1.449762, Time  0.444792
2021-09-24 04:24:52.498792 : Epoch  3, Batch    112, Loss  1.439749, Average Loss  1.450072, Time  0.442250
2021-09-24 04:24:52.847189 : Epoch  3, Batch     68, Loss  1.459810, Average Loss  1.449780, Time  0.443459
2021-09-24 04:24:58.445017 : Epoch  3, Batch    113, Loss  1.451904, Average Loss  1.450039, Time  0.439153
2021-09-24 04:24:58.807465 : Epoch  3, Batch     69, Loss  1.467436, Average Loss  1.449811, Time  0.447061
2021-09-24 04:25:04.395834 : Epoch  3, Batch    114, Loss  1.446579, Average Loss  1.450003, Time  0.444746
2021-09-24 04:25:04.805070 : Epoch  3, Batch     70, Loss  1.456359, Average Loss  1.449864, Time  0.457882
2021-09-24 04:25:10.350872 : Epoch  3, Batch    115, Loss  1.440493, Average Loss  1.449960, Time  0.439536
2021-09-24 04:25:10.794298 : Epoch  3, Batch     71, Loss  1.451971, Average Loss  1.449882, Time  0.446795
2021-09-24 04:25:16.298863 : Epoch  3, Batch    116, Loss  1.452243, Average Loss  1.449955, Time  0.440233
2021-09-24 04:25:16.790854 : Epoch  3, Batch     72, Loss  1.450731, Average Loss  1.449909, Time  0.458737
2021-09-24 04:25:22.262342 : Epoch  3, Batch    117, Loss  1.453165, Average Loss  1.449929, Time  0.454841
2021-09-24 04:25:22.783856 : Epoch  3, Batch     73, Loss  1.454858, Average Loss  1.449904, Time  0.443853
2021-09-24 04:25:28.209262 : Epoch  3, Batch    118, Loss  1.440370, Average Loss  1.449883, Time  0.439820
2021-09-24 04:25:28.761305 : Epoch  3, Batch     74, Loss  1.455100, Average Loss  1.449913, Time  0.443266
2021-09-24 04:25:34.147928 : Epoch  3, Batch    119, Loss  1.464490, Average Loss  1.449949, Time  0.439083
2021-09-24 04:25:34.742160 : Epoch  3, Batch     75, Loss  1.447809, Average Loss  1.449888, Time  0.444623
2021-09-24 04:25:40.117712 : Epoch  3, Batch    120, Loss  1.449633, Average Loss  1.449926, Time  0.439195
2021-09-24 04:25:40.750482 : Epoch  3, Batch     76, Loss  1.434210, Average Loss  1.449893, Time  0.443900
2021-09-24 04:25:46.084573 : Epoch  3, Batch    121, Loss  1.456791, Average Loss  1.449950, Time  0.440045
2021-09-24 04:25:46.764485 : Epoch  3, Batch     77, Loss  1.435967, Average Loss  1.449840, Time  0.459388
2021-09-24 04:25:52.040263 : Epoch  3, Batch    122, Loss  1.454792, Average Loss  1.449953, Time  0.439011
2021-09-24 04:25:52.757744 : Epoch  3, Batch     78, Loss  1.456246, Average Loss  1.449861, Time  0.444647
2021-09-24 04:25:57.985726 : Epoch  3, Batch    123, Loss  1.458288, Average Loss  1.449991, Time  0.440817
2021-09-24 04:25:58.753392 : Epoch  3, Batch     79, Loss  1.451942, Average Loss  1.449919, Time  0.446927
2021-09-24 04:26:03.946949 : Epoch  3, Batch    124, Loss  1.452510, Average Loss  1.449968, Time  0.441057
2021-09-24 04:26:04.769756 : Epoch  3, Batch     80, Loss  1.450658, Average Loss  1.449888, Time  0.458528
2021-09-24 04:26:09.896801 : Epoch  3, Batch    125, Loss  1.446066, Average Loss  1.449935, Time  0.454062
2021-09-24 04:26:10.748938 : Epoch  3, Batch     81, Loss  1.464417, Average Loss  1.449969, Time  0.443894
2021-09-24 04:26:15.855655 : Epoch  3, Batch    126, Loss  1.436799, Average Loss  1.449876, Time  0.440528
2021-09-24 04:26:16.721293 : Epoch  3, Batch     82, Loss  1.464395, Average Loss  1.450027, Time  0.446418
2021-09-24 04:26:21.785228 : Epoch  3, Batch    127, Loss  1.448911, Average Loss  1.449807, Time  0.439805
2021-09-24 04:26:22.713703 : Epoch  3, Batch     83, Loss  1.453111, Average Loss  1.449994, Time  0.444431
2021-09-24 04:26:27.715789 : Epoch  3, Batch    128, Loss  1.447885, Average Loss  1.449774, Time  0.440536
2021-09-24 04:26:28.701808 : Epoch  3, Batch     84, Loss  1.440951, Average Loss  1.449892, Time  0.445901
2021-09-24 04:26:33.669956 : Epoch  3, Batch    129, Loss  1.444141, Average Loss  1.449773, Time  0.441868
2021-09-24 04:26:34.686819 : Epoch  3, Batch     85, Loss  1.459609, Average Loss  1.449933, Time  0.447046
2021-09-24 04:26:39.615091 : Epoch  3, Batch    130, Loss  1.452064, Average Loss  1.449765, Time  0.439067
2021-09-24 04:26:40.672841 : Epoch  3, Batch     86, Loss  1.437743, Average Loss  1.449870, Time  0.444737
2021-09-24 04:26:45.575458 : Epoch  3, Batch    131, Loss  1.435076, Average Loss  1.449763, Time  0.439325
2021-09-24 04:26:46.664768 : Epoch  3, Batch     87, Loss  1.444468, Average Loss  1.449868, Time  0.446895
2021-09-24 04:26:51.541753 : Epoch  3, Batch    132, Loss  1.453801, Average Loss  1.449758, Time  0.459141
2021-09-24 04:26:52.663604 : Epoch  3, Batch     88, Loss  1.449857, Average Loss  1.449925, Time  0.457045
2021-09-24 04:26:57.502222 : Epoch  3, Batch    133, Loss  1.453180, Average Loss  1.449762, Time  0.438900
2021-09-24 04:26:58.659729 : Epoch  3, Batch     89, Loss  1.456397, Average Loss  1.449946, Time  0.442993
2021-09-24 04:27:03.452786 : Epoch  3, Batch    134, Loss  1.444213, Average Loss  1.449801, Time  0.442367
2021-09-24 04:27:04.652762 : Epoch  3, Batch     90, Loss  1.444249, Average Loss  1.449908, Time  0.446197
2021-09-24 04:27:09.394558 : Epoch  3, Batch    135, Loss  1.448061, Average Loss  1.449759, Time  0.441692
2021-09-24 04:27:10.645857 : Epoch  3, Batch     91, Loss  1.457730, Average Loss  1.449919, Time  0.443794
2021-09-24 04:27:15.348221 : Epoch  3, Batch    136, Loss  1.451988, Average Loss  1.449765, Time  0.438538
2021-09-24 04:27:16.634845 : Epoch  3, Batch     92, Loss  1.439865, Average Loss  1.449854, Time  0.443953
2021-09-24 04:27:21.296790 : Epoch  3, Batch    137, Loss  1.463130, Average Loss  1.449819, Time  0.439630
2021-09-24 04:27:22.610994 : Epoch  3, Batch     93, Loss  1.459820, Average Loss  1.449806, Time  0.445283
2021-09-24 04:27:27.242463 : Epoch  3, Batch    138, Loss  1.451312, Average Loss  1.449861, Time  0.439885
2021-09-24 04:27:28.607272 : Epoch  3, Batch     94, Loss  1.453459, Average Loss  1.449862, Time  0.445896
2021-09-24 04:27:33.198102 : Epoch  3, Batch    139, Loss  1.451438, Average Loss  1.449836, Time  0.443517
2021-09-24 04:27:34.616558 : Epoch  3, Batch     95, Loss  1.461143, Average Loss  1.449987, Time  0.462883
2021-09-24 04:27:39.163733 : Epoch  3, Batch    140, Loss  1.451506, Average Loss  1.449882, Time  0.453313
2021-09-24 04:27:40.604670 : Epoch  3, Batch     96, Loss  1.448708, Average Loss  1.449995, Time  0.448895
2021-09-24 04:27:45.115372 : Epoch  3, Batch    141, Loss  1.454714, Average Loss  1.449897, Time  0.439422
2021-09-24 04:27:46.600924 : Epoch  3, Batch     97, Loss  1.441833, Average Loss  1.449955, Time  0.445971
2021-09-24 04:27:51.065721 : Epoch  3, Batch    142, Loss  1.454699, Average Loss  1.449939, Time  0.450254
2021-09-24 04:27:52.593335 : Epoch  3, Batch     98, Loss  1.440293, Average Loss  1.449926, Time  0.446204
2021-09-24 04:27:57.006915 : Epoch  3, Batch    143, Loss  1.455230, Average Loss  1.449966, Time  0.438652
2021-09-24 04:27:58.590773 : Epoch  3, Batch     99, Loss  1.457480, Average Loss  1.449949, Time  0.443271
2021-09-24 04:28:04.599172 : Epoch  3, Batch    100, Loss  1.460366, Average Loss  1.450076, Time  0.447325
2021-09-24 04:28:08.533488 : Epoch  3, Batch    144, Loss  1.442626, Average Loss  1.449938, Time  0.439880
2021-09-24 04:28:10.626767 : Epoch  3, Batch    101, Loss  1.464658, Average Loss  1.450156, Time  0.448303
2021-09-24 04:28:16.652804 : Epoch  3, Batch    102, Loss  1.454276, Average Loss  1.450247, Time  0.443292
2021-09-24 04:28:22.642034 : Epoch  3, Batch    103, Loss  1.452455, Average Loss  1.450259, Time  0.457907
2021-09-24 04:28:28.622801 : Epoch  3, Batch    104, Loss  1.455404, Average Loss  1.450281, Time  0.443947
2021-09-24 04:28:34.616144 : Epoch  3, Batch    105, Loss  1.444560, Average Loss  1.450290, Time  0.444038
2021-09-24 04:28:40.597793 : Epoch  3, Batch    106, Loss  1.456821, Average Loss  1.450293, Time  0.445037
2021-09-24 04:28:46.576658 : Epoch  3, Batch    107, Loss  1.451203, Average Loss  1.450245, Time  0.449203
2021-09-24 04:28:52.560916 : Epoch  3, Batch    108, Loss  1.446344, Average Loss  1.450189, Time  0.443722
2021-09-24 04:28:58.546533 : Epoch  3, Batch    109, Loss  1.433660, Average Loss  1.450148, Time  0.444293
2021-09-24 04:29:04.530005 : Epoch  3, Batch    110, Loss  1.450683, Average Loss  1.450143, Time  0.443585
2021-09-24 04:29:10.529756 : Epoch  3, Batch    111, Loss  1.454413, Average Loss  1.450189, Time  0.456304
2021-09-24 04:29:16.522986 : Epoch  3, Batch    112, Loss  1.456528, Average Loss  1.450259, Time  0.445194
2021-09-24 04:29:22.498605 : Epoch  3, Batch    113, Loss  1.447777, Average Loss  1.450190, Time  0.445364
2021-09-24 04:29:28.493109 : Epoch  3, Batch    114, Loss  1.449340, Average Loss  1.450202, Time  0.452745
2021-09-24 04:29:34.478835 : Epoch  3, Batch    115, Loss  1.437592, Average Loss  1.450187, Time  0.444611
2021-09-24 04:29:40.483339 : Epoch  3, Batch    116, Loss  1.444772, Average Loss  1.450152, Time  0.446859
2021-09-24 04:29:46.477571 : Epoch  3, Batch    117, Loss  1.437278, Average Loss  1.450077, Time  0.443601
2021-09-24 04:29:52.486402 : Epoch  3, Batch    118, Loss  1.457322, Average Loss  1.450097, Time  0.460274
2021-09-24 04:29:58.488084 : Epoch  3, Batch    119, Loss  1.454787, Average Loss  1.450128, Time  0.443975
2021-09-24 04:30:04.477550 : Epoch  3, Batch    120, Loss  1.446097, Average Loss  1.450188, Time  0.448301
2021-09-24 04:30:10.463996 : Epoch  3, Batch    121, Loss  1.455822, Average Loss  1.450183, Time  0.445146
2021-09-24 04:30:16.440789 : Epoch  3, Batch    122, Loss  1.454046, Average Loss  1.450148, Time  0.442931
2021-09-24 04:30:22.418575 : Epoch  3, Batch    123, Loss  1.448362, Average Loss  1.450121, Time  0.444605
2021-09-24 04:30:28.402491 : Epoch  3, Batch    124, Loss  1.451955, Average Loss  1.450106, Time  0.445378
2021-09-24 04:30:34.386518 : Epoch  3, Batch    125, Loss  1.454209, Average Loss  1.450082, Time  0.443741
2021-09-24 04:30:40.381509 : Epoch  3, Batch    126, Loss  1.440005, Average Loss  1.450063, Time  0.456922
2021-09-24 04:30:46.383798 : Epoch  3, Batch    127, Loss  1.446466, Average Loss  1.450061, Time  0.448535
2021-09-24 04:30:52.370130 : Epoch  3, Batch    128, Loss  1.448725, Average Loss  1.450026, Time  0.443678
2021-09-24 04:30:58.357712 : Epoch  3, Batch    129, Loss  1.445285, Average Loss  1.449979, Time  0.444500
2021-09-24 04:31:04.325669 : Epoch  3, Batch    130, Loss  1.452549, Average Loss  1.450069, Time  0.443011
2021-09-24 04:31:10.307045 : Epoch  3, Batch    131, Loss  1.440818, Average Loss  1.450063, Time  0.443504
2021-09-24 04:31:16.296773 : Epoch  3, Batch    132, Loss  1.448082, Average Loss  1.450073, Time  0.444355
2021-09-24 04:31:22.296670 : Epoch  3, Batch    133, Loss  1.446651, Average Loss  1.450037, Time  0.457876
2021-09-24 04:31:28.283041 : Epoch  3, Batch    134, Loss  1.463472, Average Loss  1.450089, Time  0.445147
2021-09-24 04:31:34.268704 : Epoch  3, Batch    135, Loss  1.462755, Average Loss  1.450100, Time  0.443966
2021-09-24 04:31:40.252828 : Epoch  3, Batch    136, Loss  1.450819, Average Loss  1.450168, Time  0.443446
2021-09-24 04:31:46.262114 : Epoch  3, Batch    137, Loss  1.449597, Average Loss  1.450099, Time  0.443091
2021-09-24 04:31:52.248226 : Epoch  3, Batch    138, Loss  1.451859, Average Loss  1.450102, Time  0.444065
2021-09-24 04:31:58.251558 : Epoch  3, Batch    139, Loss  1.439495, Average Loss  1.450079, Time  0.446292
2021-09-24 04:32:04.251387 : Epoch  3, Batch    140, Loss  1.454886, Average Loss  1.450083, Time  0.446079
2021-09-24 04:32:10.263254 : Epoch  3, Batch    141, Loss  1.459238, Average Loss  1.450148, Time  0.457624
2021-09-24 04:32:16.253498 : Epoch  3, Batch    142, Loss  1.447541, Average Loss  1.450076, Time  0.444990
2021-09-24 04:32:22.231991 : Epoch  3, Batch    143, Loss  1.452581, Average Loss  1.450070, Time  0.444714
2021-09-24 04:32:33.880541 : Epoch  3, Batch    144, Loss  1.456815, Average Loss  1.450087, Time  0.443880
2021-09-24 04:32:47.560816 : CheckPoint: Validation Loss  0.00025249, Best Loss  0.00024773
2021-09-24 04:32:53.527509 : Epoch  3, Batch    145, Loss  1.441302, Average Loss  1.449895, Time  0.441332
2021-09-24 04:32:59.484444 : Epoch  3, Batch    146, Loss  1.457529, Average Loss  1.449952, Time  0.453133
2021-09-24 04:33:05.414269 : Epoch  3, Batch    147, Loss  1.447404, Average Loss  1.449986, Time  0.438839
2021-09-24 04:33:11.367834 : Epoch  3, Batch    148, Loss  1.445342, Average Loss  1.449989, Time  0.441502
2021-09-24 04:33:17.314627 : Epoch  3, Batch    149, Loss  1.468605, Average Loss  1.450043, Time  0.439335
2021-09-24 04:33:23.255902 : Epoch  3, Batch    150, Loss  1.448190, Average Loss  1.450059, Time  0.439054
2021-09-24 04:33:29.198652 : Epoch  3, Batch    151, Loss  1.448053, Average Loss  1.450061, Time  0.441286
2021-09-24 04:33:35.141061 : Epoch  3, Batch    152, Loss  1.441414, Average Loss  1.449966, Time  0.438877
2021-09-24 04:33:41.099100 : Epoch  3, Batch    153, Loss  1.453368, Average Loss  1.450049, Time  0.439103
2021-09-24 04:33:47.065529 : Epoch  3, Batch    154, Loss  1.443318, Average Loss  1.450068, Time  0.455393
2021-09-24 04:33:53.021702 : Epoch  3, Batch    155, Loss  1.448099, Average Loss  1.450020, Time  0.441514
2021-09-24 04:33:58.977020 : Epoch  3, Batch    156, Loss  1.447477, Average Loss  1.450000, Time  0.456774
2021-09-24 04:34:04.934991 : Epoch  3, Batch    157, Loss  1.456990, Average Loss  1.450059, Time  0.440378
2021-09-24 04:34:10.875198 : Epoch  3, Batch    158, Loss  1.468255, Average Loss  1.450124, Time  0.440624
2021-09-24 04:34:16.854849 : Epoch  3, Batch    159, Loss  1.462718, Average Loss  1.450178, Time  0.439155
2021-09-24 04:34:22.808982 : Epoch  3, Batch    160, Loss  1.447159, Average Loss  1.450151, Time  0.439157
2021-09-24 04:34:28.766792 : Epoch  3, Batch    161, Loss  1.446000, Average Loss  1.450164, Time  0.457366
2021-09-24 04:34:34.694766 : Epoch  3, Batch    162, Loss  1.456065, Average Loss  1.450172, Time  0.439986
2021-09-24 04:34:40.626448 : Epoch  3, Batch    163, Loss  1.466585, Average Loss  1.450240, Time  0.438884
2021-09-24 04:34:46.566005 : Epoch  3, Batch    164, Loss  1.443621, Average Loss  1.450192, Time  0.445643
2021-09-24 04:34:52.510863 : Epoch  3, Batch    165, Loss  1.463309, Average Loss  1.450255, Time  0.439172
2021-09-24 04:34:58.452903 : Epoch  3, Batch    166, Loss  1.449246, Average Loss  1.450236, Time  0.439904
2021-09-24 04:35:04.409966 : Epoch  3, Batch    167, Loss  1.437632, Average Loss  1.450172, Time  0.438752
2021-09-24 04:35:10.349848 : Epoch  3, Batch    168, Loss  1.444029, Average Loss  1.450089, Time  0.440922
2021-09-24 04:35:16.328666 : Epoch  3, Batch    169, Loss  1.449304, Average Loss  1.450071, Time  0.455075
2021-09-24 04:35:22.279614 : Epoch  3, Batch    170, Loss  1.444540, Average Loss  1.450048, Time  0.438705
2021-09-24 04:35:28.241293 : Epoch  3, Batch    171, Loss  1.435577, Average Loss  1.449937, Time  0.442849
2021-09-24 04:35:34.188000 : Epoch  3, Batch    172, Loss  1.446821, Average Loss  1.449887, Time  0.439530
2021-09-24 04:35:40.120513 : Epoch  3, Batch    173, Loss  1.446222, Average Loss  1.449912, Time  0.439272
2021-09-24 04:35:46.072888 : Epoch  3, Batch    174, Loss  1.450931, Average Loss  1.449909, Time  0.441012
2021-09-24 04:35:52.010472 : Epoch  3, Batch    175, Loss  1.451667, Average Loss  1.449924, Time  0.445021
2021-09-24 04:35:57.949208 : Epoch  3, Batch    176, Loss  1.445575, Average Loss  1.449920, Time  0.438635
2021-09-24 04:36:03.920041 : Epoch  3, Batch    177, Loss  1.452828, Average Loss  1.449930, Time  0.453493
2021-09-24 04:36:09.848146 : Epoch  3, Batch    178, Loss  1.446028, Average Loss  1.449883, Time  0.442308
2021-09-24 04:36:15.800881 : Epoch  3, Batch    179, Loss  1.466862, Average Loss  1.449930, Time  0.441848
2021-09-24 04:36:21.734111 : Epoch  3, Batch    180, Loss  1.440856, Average Loss  1.449917, Time  0.438461
2021-09-24 04:36:27.694451 : Epoch  3, Batch    181, Loss  1.454327, Average Loss  1.449904, Time  0.440540
2021-09-24 04:36:33.632993 : Epoch  3, Batch    182, Loss  1.451699, Average Loss  1.449898, Time  0.438622
2021-09-24 04:36:39.586502 : Epoch  3, Batch    183, Loss  1.454307, Average Loss  1.449880, Time  0.443023
2021-09-24 04:36:45.556243 : Epoch  3, Batch    184, Loss  1.446867, Average Loss  1.449914, Time  0.451577
2021-09-24 04:36:51.507301 : Epoch  3, Batch    185, Loss  1.457674, Average Loss  1.449933, Time  0.439018
2021-09-24 04:36:57.459065 : Epoch  3, Batch    186, Loss  1.450617, Average Loss  1.449989, Time  0.439120
2021-09-24 04:37:03.399505 : Epoch  3, Batch    187, Loss  1.446000, Average Loss  1.449958, Time  0.438418
2021-09-24 04:37:09.355895 : Epoch  3, Batch    188, Loss  1.438777, Average Loss  1.449891, Time  0.442926
2021-09-24 04:37:15.301467 : Epoch  3, Batch    189, Loss  1.457394, Average Loss  1.449906, Time  0.438756
2021-09-24 04:37:15.338244 : CheckPoint: Validation Loss  0.00024983, Best Loss  0.00024587
2021-09-24 04:37:21.252565 : Epoch  3, Batch    190, Loss  1.439367, Average Loss  1.449828, Time  0.439289
2021-09-24 04:37:21.343470 : Epoch  3, Batch    145, Loss  1.455236, Average Loss  1.450111, Time  0.445383
2021-09-24 04:37:27.209359 : Epoch  3, Batch    191, Loss  1.448789, Average Loss  1.449789, Time  0.440008
2021-09-24 04:37:27.349883 : Epoch  3, Batch    146, Loss  1.456926, Average Loss  1.450256, Time  0.453515
2021-09-24 04:37:33.183433 : Epoch  3, Batch    192, Loss  1.440988, Average Loss  1.449760, Time  0.451431
2021-09-24 04:37:33.326126 : Epoch  3, Batch    147, Loss  1.452613, Average Loss  1.450263, Time  0.446485
2021-09-24 04:37:39.139335 : Epoch  3, Batch    193, Loss  1.441334, Average Loss  1.449747, Time  0.440113
2021-09-24 04:37:39.295944 : Epoch  3, Batch    148, Loss  1.448141, Average Loss  1.450212, Time  0.443556
2021-09-24 04:37:45.096780 : Epoch  3, Batch    194, Loss  1.448227, Average Loss  1.449689, Time  0.439300
2021-09-24 04:37:45.259588 : Epoch  3, Batch    149, Loss  1.453031, Average Loss  1.450253, Time  0.444157
2021-09-24 04:37:51.051495 : Epoch  3, Batch    195, Loss  1.449114, Average Loss  1.449736, Time  0.439010
2021-09-24 04:37:51.236153 : Epoch  3, Batch    150, Loss  1.448845, Average Loss  1.450278, Time  0.444097
2021-09-24 04:37:57.014849 : Epoch  3, Batch    196, Loss  1.456251, Average Loss  1.449745, Time  0.440237
2021-09-24 04:37:57.199752 : Epoch  3, Batch    151, Loss  1.444579, Average Loss  1.450304, Time  0.447177
2021-09-24 04:38:02.962946 : Epoch  3, Batch    197, Loss  1.455922, Average Loss  1.449802, Time  0.440311
2021-09-24 04:38:03.172180 : Epoch  3, Batch    152, Loss  1.452273, Average Loss  1.450243, Time  0.445005
2021-09-24 04:38:08.913188 : Epoch  3, Batch    198, Loss  1.453198, Average Loss  1.449869, Time  0.441341
2021-09-24 04:38:09.138757 : Epoch  3, Batch    153, Loss  1.447042, Average Loss  1.450173, Time  0.447322
2021-09-24 04:38:14.879726 : Epoch  3, Batch    199, Loss  1.444865, Average Loss  1.449819, Time  0.439658
2021-09-24 04:38:15.111792 : Epoch  3, Batch    154, Loss  1.447775, Average Loss  1.450222, Time  0.454446
2021-09-24 04:38:20.842486 : Epoch  3, Batch    200, Loss  1.445516, Average Loss  1.449805, Time  0.453487
2021-09-24 04:38:21.080880 : Epoch  3, Batch    155, Loss  1.438892, Average Loss  1.450134, Time  0.443483
2021-09-24 04:38:26.779364 : Epoch  3, Batch    201, Loss  1.448374, Average Loss  1.449820, Time  0.439129
2021-09-24 04:38:27.090985 : Epoch  3, Batch    156, Loss  1.443375, Average Loss  1.450043, Time  0.444201
2021-09-24 04:38:32.727809 : Epoch  3, Batch    202, Loss  1.442429, Average Loss  1.449848, Time  0.440777
2021-09-24 04:38:33.061672 : Epoch  3, Batch    157, Loss  1.454398, Average Loss  1.450001, Time  0.443707
2021-09-24 04:38:38.674927 : Epoch  3, Batch    203, Loss  1.449497, Average Loss  1.449850, Time  0.441059
2021-09-24 04:38:39.026293 : Epoch  3, Batch    158, Loss  1.446968, Average Loss  1.450043, Time  0.443839
2021-09-24 04:38:44.629368 : Epoch  3, Batch    204, Loss  1.445133, Average Loss  1.449838, Time  0.439131
2021-09-24 04:38:45.011346 : Epoch  3, Batch    159, Loss  1.458879, Average Loss  1.450068, Time  0.443568
2021-09-24 04:38:50.569662 : Epoch  3, Batch    205, Loss  1.441514, Average Loss  1.449825, Time  0.440238
2021-09-24 04:38:50.983397 : Epoch  3, Batch    160, Loss  1.447477, Average Loss  1.450085, Time  0.445582
2021-09-24 04:38:56.509968 : Epoch  3, Batch    206, Loss  1.451225, Average Loss  1.449838, Time  0.439980
2021-09-24 04:38:56.969067 : Epoch  3, Batch    161, Loss  1.459540, Average Loss  1.450085, Time  0.459014
2021-09-24 04:39:02.469787 : Epoch  3, Batch    207, Loss  1.456045, Average Loss  1.449844, Time  0.452570
2021-09-24 04:39:02.962527 : Epoch  3, Batch    162, Loss  1.453358, Average Loss  1.450133, Time  0.443738
2021-09-24 04:39:08.418028 : Epoch  3, Batch    208, Loss  1.455447, Average Loss  1.449780, Time  0.439078
2021-09-24 04:39:08.943932 : Epoch  3, Batch    163, Loss  1.444947, Average Loss  1.450116, Time  0.443423
2021-09-24 04:39:14.379701 : Epoch  3, Batch    209, Loss  1.447301, Average Loss  1.449797, Time  0.441571
2021-09-24 04:39:14.916425 : Epoch  3, Batch    164, Loss  1.444529, Average Loss  1.450072, Time  0.444507
2021-09-24 04:39:20.332518 : Epoch  3, Batch    210, Loss  1.453792, Average Loss  1.449808, Time  0.443088
2021-09-24 04:39:20.880731 : Epoch  3, Batch    165, Loss  1.455580, Average Loss  1.450091, Time  0.449076
2021-09-24 04:39:26.303554 : Epoch  3, Batch    211, Loss  1.454508, Average Loss  1.449804, Time  0.440889
2021-09-24 04:39:26.856753 : Epoch  3, Batch    166, Loss  1.459105, Average Loss  1.450116, Time  0.444010
2021-09-24 04:39:32.241575 : Epoch  3, Batch    212, Loss  1.447227, Average Loss  1.449830, Time  0.440033
2021-09-24 04:39:32.831862 : Epoch  3, Batch    167, Loss  1.446210, Average Loss  1.450083, Time  0.444835
2021-09-24 04:39:38.193527 : Epoch  3, Batch    213, Loss  1.446191, Average Loss  1.449785, Time  0.439360
2021-09-24 04:39:38.819084 : Epoch  3, Batch    168, Loss  1.456922, Average Loss  1.450111, Time  0.442596
2021-09-24 04:39:44.125337 : Epoch  3, Batch    214, Loss  1.446013, Average Loss  1.449757, Time  0.438742
2021-09-24 04:39:44.804842 : Epoch  3, Batch    169, Loss  1.445705, Average Loss  1.450044, Time  0.457502
2021-09-24 04:39:50.077755 : Epoch  3, Batch    215, Loss  1.444021, Average Loss  1.449625, Time  0.449292
2021-09-24 04:39:50.777447 : Epoch  3, Batch    170, Loss  1.451913, Average Loss  1.450099, Time  0.449454
2021-09-24 04:39:56.030106 : Epoch  3, Batch    216, Loss  1.454967, Average Loss  1.449691, Time  0.440086
2021-09-24 04:39:56.757907 : Epoch  3, Batch    171, Loss  1.450405, Average Loss  1.450096, Time  0.444743
2021-09-24 04:40:01.977702 : Epoch  3, Batch    217, Loss  1.450488, Average Loss  1.449681, Time  0.439722
2021-09-24 04:40:02.735721 : Epoch  3, Batch    172, Loss  1.439270, Average Loss  1.450016, Time  0.443410
2021-09-24 04:40:07.925358 : Epoch  3, Batch    218, Loss  1.451849, Average Loss  1.449638, Time  0.438968
2021-09-24 04:40:08.714768 : Epoch  3, Batch    173, Loss  1.444832, Average Loss  1.449984, Time  0.444780
2021-09-24 04:40:13.884220 : Epoch  3, Batch    219, Loss  1.439223, Average Loss  1.449660, Time  0.448838
2021-09-24 04:40:14.688674 : Epoch  3, Batch    174, Loss  1.451089, Average Loss  1.449961, Time  0.445357
2021-09-24 04:40:19.859248 : Epoch  3, Batch    220, Loss  1.442243, Average Loss  1.449605, Time  0.448725
2021-09-24 04:40:20.679493 : Epoch  3, Batch    175, Loss  1.446345, Average Loss  1.449928, Time  0.449529
2021-09-24 04:40:25.800149 : Epoch  3, Batch    221, Loss  1.448475, Average Loss  1.449592, Time  0.440173
2021-09-24 04:40:26.660622 : Epoch  3, Batch    176, Loss  1.450222, Average Loss  1.449920, Time  0.445145
2021-09-24 04:40:31.761399 : Epoch  3, Batch    222, Loss  1.454979, Average Loss  1.449604, Time  0.441312
2021-09-24 04:40:32.660921 : Epoch  3, Batch    177, Loss  1.439541, Average Loss  1.449843, Time  0.457272
2021-09-24 04:40:37.712962 : Epoch  3, Batch    223, Loss  1.458236, Average Loss  1.449605, Time  0.447762
2021-09-24 04:40:38.642422 : Epoch  3, Batch    178, Loss  1.461970, Average Loss  1.449926, Time  0.446158
2021-09-24 04:40:43.649760 : Epoch  3, Batch    224, Loss  1.441757, Average Loss  1.449527, Time  0.439067
2021-09-24 04:40:44.619824 : Epoch  3, Batch    179, Loss  1.460765, Average Loss  1.449965, Time  0.444813
2021-09-24 04:40:49.592666 : Epoch  3, Batch    225, Loss  1.446758, Average Loss  1.449480, Time  0.438850
2021-09-24 04:40:50.585105 : Epoch  3, Batch    180, Loss  1.451182, Average Loss  1.449914, Time  0.444664
2021-09-24 04:40:55.540650 : Epoch  3, Batch    226, Loss  1.455647, Average Loss  1.449488, Time  0.445218
2021-09-24 04:40:56.541165 : Epoch  3, Batch    181, Loss  1.446925, Average Loss  1.449939, Time  0.445214
2021-09-24 04:41:01.478813 : Epoch  3, Batch    227, Loss  1.450413, Average Loss  1.449483, Time  0.439561
2021-09-24 04:41:02.519119 : Epoch  3, Batch    182, Loss  1.460553, Average Loss  1.450014, Time  0.444762
2021-09-24 04:41:07.414810 : Epoch  3, Batch    228, Loss  1.448042, Average Loss  1.449457, Time  0.440760
2021-09-24 04:41:08.500627 : Epoch  3, Batch    183, Loss  1.453920, Average Loss  1.450074, Time  0.444333
2021-09-24 04:41:13.381841 : Epoch  3, Batch    229, Loss  1.450257, Average Loss  1.449454, Time  0.441231
2021-09-24 04:41:14.503499 : Epoch  3, Batch    184, Loss  1.443648, Average Loss  1.450077, Time  0.461787
2021-09-24 04:41:19.328676 : Epoch  3, Batch    230, Loss  1.440660, Average Loss  1.449385, Time  0.437714
2021-09-24 04:41:20.484029 : Epoch  3, Batch    185, Loss  1.445959, Average Loss  1.450034, Time  0.443325
2021-09-24 04:41:25.282349 : Epoch  3, Batch    231, Loss  1.450511, Average Loss  1.449385, Time  0.452507
2021-09-24 04:41:26.458034 : Epoch  3, Batch    186, Loss  1.444719, Average Loss  1.450020, Time  0.445246
2021-09-24 04:41:31.238759 : Epoch  3, Batch    232, Loss  1.451130, Average Loss  1.449342, Time  0.439452
2021-09-24 04:41:32.429800 : Epoch  3, Batch    187, Loss  1.450364, Average Loss  1.450004, Time  0.447189
2021-09-24 04:41:37.185777 : Epoch  3, Batch    233, Loss  1.459098, Average Loss  1.449407, Time  0.443364
2021-09-24 04:41:38.403417 : Epoch  3, Batch    188, Loss  1.445217, Average Loss  1.449999, Time  0.444106
2021-09-24 04:41:43.126705 : Epoch  3, Batch    234, Loss  1.448084, Average Loss  1.449334, Time  0.440616
2021-09-24 04:41:44.384203 : Epoch  3, Batch    189, Loss  1.449297, Average Loss  1.450007, Time  0.445665
2021-09-24 04:41:49.066219 : Epoch  3, Batch    235, Loss  1.437407, Average Loss  1.449308, Time  0.443215
2021-09-24 04:41:50.352225 : Epoch  3, Batch    190, Loss  1.452656, Average Loss  1.450014, Time  0.443048
2021-09-24 04:41:55.015459 : Epoch  3, Batch    236, Loss  1.455546, Average Loss  1.449370, Time  0.439749
2021-09-24 04:41:56.324783 : Epoch  3, Batch    191, Loss  1.457019, Average Loss  1.450026, Time  0.443433
2021-09-24 04:42:00.951097 : Epoch  3, Batch    237, Loss  1.444654, Average Loss  1.449314, Time  0.439037
2021-09-24 04:42:02.313172 : Epoch  3, Batch    192, Loss  1.461688, Average Loss  1.450068, Time  0.460887
2021-09-24 04:42:06.912274 : Epoch  3, Batch    238, Loss  1.449674, Average Loss  1.449304, Time  0.439011
2021-09-24 04:42:08.299492 : Epoch  3, Batch    193, Loss  1.452261, Average Loss  1.450075, Time  0.453975
2021-09-24 04:42:12.874220 : Epoch  3, Batch    239, Loss  1.448815, Average Loss  1.449304, Time  0.453871
2021-09-24 04:42:14.277820 : Epoch  3, Batch    194, Loss  1.444924, Average Loss  1.449968, Time  0.450374
2021-09-24 04:42:18.809928 : Epoch  3, Batch    240, Loss  1.455196, Average Loss  1.449337, Time  0.438607
2021-09-24 04:42:20.253814 : Epoch  3, Batch    195, Loss  1.456316, Average Loss  1.450074, Time  0.444761
2021-09-24 04:42:24.767909 : Epoch  3, Batch    241, Loss  1.444827, Average Loss  1.449296, Time  0.440134
2021-09-24 04:42:26.230837 : Epoch  3, Batch    196, Loss  1.458732, Average Loss  1.450170, Time  0.445035
2021-09-24 04:42:30.721877 : Epoch  3, Batch    242, Loss  1.442828, Average Loss  1.449253, Time  0.439589
2021-09-24 04:42:32.223172 : Epoch  3, Batch    197, Loss  1.437853, Average Loss  1.450062, Time  0.444588
2021-09-24 04:42:36.675621 : Epoch  3, Batch    243, Loss  1.450128, Average Loss  1.449262, Time  0.440201
2021-09-24 04:42:38.189978 : Epoch  3, Batch    198, Loss  1.454981, Average Loss  1.450111, Time  0.444894
2021-09-24 04:42:42.622754 : Epoch  3, Batch    244, Loss  1.449759, Average Loss  1.449244, Time  0.439137
2021-09-24 04:42:44.228929 : Epoch  3, Batch    199, Loss  1.462236, Average Loss  1.450200, Time  0.458818
2021-09-24 04:42:50.227477 : Epoch  3, Batch    200, Loss  1.453817, Average Loss  1.450228, Time  0.444794
2021-09-24 04:42:56.195149 : Epoch  3, Batch    201, Loss  1.454997, Average Loss  1.450215, Time  0.444047
2021-09-24 04:43:02.170285 : Epoch  3, Batch    202, Loss  1.447267, Average Loss  1.450211, Time  0.451894
2021-09-24 04:43:08.142869 : Epoch  3, Batch    203, Loss  1.442558, Average Loss  1.450116, Time  0.444649
2021-09-24 04:43:14.111476 : Epoch  3, Batch    204, Loss  1.449474, Average Loss  1.450097, Time  0.446102
2021-09-24 04:43:20.082443 : Epoch  3, Batch    205, Loss  1.441368, Average Loss  1.450092, Time  0.444379
2021-09-24 04:43:26.062826 : Epoch  3, Batch    206, Loss  1.454828, Average Loss  1.450135, Time  0.444549
2021-09-24 04:43:32.046830 : Epoch  3, Batch    207, Loss  1.454591, Average Loss  1.450122, Time  0.462137
2021-09-24 04:43:38.014208 : Epoch  3, Batch    208, Loss  1.447104, Average Loss  1.450217, Time  0.443834
2021-09-24 04:43:44.005976 : Epoch  3, Batch    209, Loss  1.452736, Average Loss  1.450172, Time  0.443988
2021-09-24 04:43:49.976763 : Epoch  3, Batch    210, Loss  1.457815, Average Loss  1.450189, Time  0.446343
2021-09-24 04:43:55.956404 : Epoch  3, Batch    211, Loss  1.455085, Average Loss  1.450203, Time  0.443055
2021-09-24 04:44:01.936395 : Epoch  3, Batch    212, Loss  1.451653, Average Loss  1.450288, Time  0.447355
2021-09-24 04:44:07.916272 : Epoch  3, Batch    213, Loss  1.456073, Average Loss  1.450329, Time  0.445980
2021-09-24 04:44:13.871993 : Epoch  3, Batch    214, Loss  1.441767, Average Loss  1.450304, Time  0.444860
2021-09-24 04:44:19.861718 : Epoch  3, Batch    215, Loss  1.462471, Average Loss  1.450326, Time  0.461215
2021-09-24 04:44:25.826506 : Epoch  3, Batch    216, Loss  1.455063, Average Loss  1.450371, Time  0.444331
2021-09-24 04:44:31.800085 : Epoch  3, Batch    217, Loss  1.444567, Average Loss  1.450310, Time  0.445693
2021-09-24 04:44:37.765780 : Epoch  3, Batch    218, Loss  1.448784, Average Loss  1.450364, Time  0.443384
2021-09-24 04:44:43.814345 : Epoch  3, Batch    219, Loss  1.446726, Average Loss  1.450368, Time  0.442549
2021-09-24 04:44:49.792857 : Epoch  3, Batch    220, Loss  1.448467, Average Loss  1.450355, Time  0.444884
2021-09-24 04:44:55.750815 : Epoch  3, Batch    221, Loss  1.437487, Average Loss  1.450314, Time  0.445754
2021-09-24 04:45:01.737648 : Epoch  3, Batch    222, Loss  1.439531, Average Loss  1.450196, Time  0.449721
2021-09-24 04:45:07.723446 : Epoch  3, Batch    223, Loss  1.458510, Average Loss  1.450242, Time  0.456793
2021-09-24 04:45:13.689753 : Epoch  3, Batch    224, Loss  1.441659, Average Loss  1.450163, Time  0.443375
2021-09-24 04:45:19.672213 : Epoch  3, Batch    225, Loss  1.449908, Average Loss  1.450179, Time  0.446495
2021-09-24 04:45:25.640498 : Epoch  3, Batch    226, Loss  1.447445, Average Loss  1.450215, Time  0.446538
2021-09-24 04:45:31.620799 : Epoch  3, Batch    227, Loss  1.449706, Average Loss  1.450222, Time  0.443987
2021-09-24 04:45:37.593236 : Epoch  3, Batch    228, Loss  1.448643, Average Loss  1.450193, Time  0.443201
2021-09-24 04:45:43.571833 : Epoch  3, Batch    229, Loss  1.431836, Average Loss  1.450098, Time  0.447489
2021-09-24 04:45:49.540886 : Epoch  3, Batch    230, Loss  1.451192, Average Loss  1.450065, Time  0.443198
2021-09-24 04:45:55.539770 : Epoch  3, Batch    231, Loss  1.440893, Average Loss  1.450022, Time  0.453042
2021-09-24 04:46:01.531895 : Epoch  3, Batch    232, Loss  1.438291, Average Loss  1.449955, Time  0.448704
2021-09-24 04:46:07.511110 : Epoch  3, Batch    233, Loss  1.462162, Average Loss  1.450120, Time  0.443542
2021-09-24 04:46:13.476526 : Epoch  3, Batch    234, Loss  1.458656, Average Loss  1.450213, Time  0.444335
2021-09-24 04:46:19.458262 : Epoch  3, Batch    235, Loss  1.446674, Average Loss  1.450188, Time  0.443954
2021-09-24 04:46:25.432870 : Epoch  3, Batch    236, Loss  1.443230, Average Loss  1.450168, Time  0.445638
2021-09-24 04:46:31.389392 : Epoch  3, Batch    237, Loss  1.435134, Average Loss  1.450115, Time  0.443847
2021-09-24 04:46:37.348980 : Epoch  3, Batch    238, Loss  1.436427, Average Loss  1.450050, Time  0.453651
2021-09-24 04:46:43.324494 : Epoch  3, Batch    239, Loss  1.443938, Average Loss  1.450011, Time  0.443599
2021-09-24 04:46:49.293188 : Epoch  3, Batch    240, Loss  1.453134, Average Loss  1.450016, Time  0.445374
2021-09-24 04:46:55.279710 : Epoch  3, Batch    241, Loss  1.444829, Average Loss  1.450036, Time  0.444077
2021-09-24 04:47:01.262070 : Epoch  3, Batch    242, Loss  1.448559, Average Loss  1.450131, Time  0.449870
2021-09-24 04:47:07.231118 : Epoch  3, Batch    243, Loss  1.438021, Average Loss  1.450043, Time  0.447839
2021-09-24 04:47:13.252777 : Epoch  3, Batch    244, Loss  1.445791, Average Loss  1.450078, Time  0.445935
2021-09-24 04:47:21.617501 : CheckPoint: Validation Loss  0.00025002, Best Loss  0.00024773
2021-09-24 04:47:27.556821 : Epoch  3, Batch    245, Loss  1.453099, Average Loss  1.449223, Time  0.438582
2021-09-24 04:47:33.507305 : Epoch  3, Batch    246, Loss  1.456538, Average Loss  1.449263, Time  0.448210
2021-09-24 04:47:39.449334 : Epoch  3, Batch    247, Loss  1.454249, Average Loss  1.449267, Time  0.438533
2021-09-24 04:47:45.394780 : Epoch  3, Batch    248, Loss  1.440197, Average Loss  1.449218, Time  0.441455
2021-09-24 04:47:51.350749 : Epoch  3, Batch    249, Loss  1.463889, Average Loss  1.449275, Time  0.439602
2021-09-24 04:47:57.286632 : Epoch  3, Batch    250, Loss  1.438254, Average Loss  1.449172, Time  0.439573
2021-09-24 04:48:03.224417 : Epoch  3, Batch    251, Loss  1.443235, Average Loss  1.449156, Time  0.439560
2021-09-24 04:48:09.162306 : Epoch  3, Batch    252, Loss  1.448216, Average Loss  1.449122, Time  0.439037
2021-09-24 04:48:15.108430 : Epoch  3, Batch    253, Loss  1.449910, Average Loss  1.449121, Time  0.441413
2021-09-24 04:48:21.064700 : Epoch  3, Batch    254, Loss  1.435634, Average Loss  1.449049, Time  0.452885
2021-09-24 04:48:27.026787 : Epoch  3, Batch    255, Loss  1.440838, Average Loss  1.449002, Time  0.438690
2021-09-24 04:48:32.975808 : Epoch  3, Batch    256, Loss  1.460164, Average Loss  1.449076, Time  0.438711
2021-09-24 04:48:38.911594 : Epoch  3, Batch    257, Loss  1.458532, Average Loss  1.449149, Time  0.444215
2021-09-24 04:48:44.831035 : Epoch  3, Batch    258, Loss  1.451676, Average Loss  1.449200, Time  0.439190
2021-09-24 04:48:50.750016 : Epoch  3, Batch    259, Loss  1.456626, Average Loss  1.449201, Time  0.438468
2021-09-24 04:48:56.670723 : Epoch  3, Batch    260, Loss  1.458914, Average Loss  1.449309, Time  0.439797
2021-09-24 04:49:02.596411 : Epoch  3, Batch    261, Loss  1.445628, Average Loss  1.449296, Time  0.448293
2021-09-24 04:49:08.522782 : Epoch  3, Batch    262, Loss  1.446368, Average Loss  1.449265, Time  0.438671
2021-09-24 04:49:14.452092 : Epoch  3, Batch    263, Loss  1.461360, Average Loss  1.449368, Time  0.440954
2021-09-24 04:49:20.376592 : Epoch  3, Batch    264, Loss  1.448189, Average Loss  1.449379, Time  0.440349
2021-09-24 04:49:26.290559 : Epoch  3, Batch    265, Loss  1.447757, Average Loss  1.449368, Time  0.441155
2021-09-24 04:49:32.206306 : Epoch  3, Batch    266, Loss  1.445539, Average Loss  1.449376, Time  0.441157
2021-09-24 04:49:38.121464 : Epoch  3, Batch    267, Loss  1.456924, Average Loss  1.449458, Time  0.439011
2021-09-24 04:49:44.044694 : Epoch  3, Batch    268, Loss  1.442228, Average Loss  1.449415, Time  0.440415
2021-09-24 04:49:49.959348 : Epoch  3, Batch    269, Loss  1.452690, Average Loss  1.449408, Time  0.454250
2021-09-24 04:49:55.872650 : Epoch  3, Batch    270, Loss  1.455143, Average Loss  1.449440, Time  0.441747
2021-09-24 04:50:01.807487 : Epoch  3, Batch    271, Loss  1.434752, Average Loss  1.449368, Time  0.443590
2021-09-24 04:50:07.728190 : Epoch  3, Batch    272, Loss  1.437195, Average Loss  1.449348, Time  0.443513
2021-09-24 04:50:13.649268 : Epoch  3, Batch    273, Loss  1.441301, Average Loss  1.449266, Time  0.439517
2021-09-24 04:50:19.563789 : Epoch  3, Batch    274, Loss  1.451502, Average Loss  1.449327, Time  0.439305
2021-09-24 04:50:25.500599 : Epoch  3, Batch    275, Loss  1.430771, Average Loss  1.449259, Time  0.438872
2021-09-24 04:50:31.435775 : Epoch  3, Batch    276, Loss  1.448369, Average Loss  1.449267, Time  0.439614
2021-09-24 04:50:37.357651 : Epoch  3, Batch    277, Loss  1.459099, Average Loss  1.449283, Time  0.448905
2021-09-24 04:50:43.267934 : Epoch  3, Batch    278, Loss  1.444350, Average Loss  1.449252, Time  0.438805
2021-09-24 04:50:49.180424 : Epoch  3, Batch    279, Loss  1.441521, Average Loss  1.449235, Time  0.441869
2021-09-24 04:50:55.117817 : Epoch  3, Batch    280, Loss  1.455505, Average Loss  1.449306, Time  0.442747
2021-09-24 04:51:01.037468 : Epoch  3, Batch    281, Loss  1.427887, Average Loss  1.449194, Time  0.439500
2021-09-24 04:51:06.953817 : Epoch  3, Batch    282, Loss  1.462193, Average Loss  1.449254, Time  0.438429
2021-09-24 04:51:12.861762 : Epoch  3, Batch    283, Loss  1.445280, Average Loss  1.449295, Time  0.440803
2021-09-24 04:51:18.788700 : Epoch  3, Batch    284, Loss  1.464458, Average Loss  1.449393, Time  0.440405
2021-09-24 04:51:24.726485 : Epoch  3, Batch    285, Loss  1.457304, Average Loss  1.449423, Time  0.454971
2021-09-24 04:51:30.648809 : Epoch  3, Batch    286, Loss  1.461472, Average Loss  1.449484, Time  0.439993
2021-09-24 04:51:36.583527 : Epoch  3, Batch    287, Loss  1.437482, Average Loss  1.449382, Time  0.441367
2021-09-24 04:51:42.490616 : Epoch  3, Batch    288, Loss  1.451818, Average Loss  1.449377, Time  0.439581
2021-09-24 04:51:48.394358 : Epoch  3, Batch    289, Loss  1.455905, Average Loss  1.449401, Time  0.439865
2021-09-24 04:51:53.155944 : CheckPoint: Validation Loss  0.00025257, Best Loss  0.00024587
2021-09-24 04:51:54.315545 : Epoch  3, Batch    290, Loss  1.442922, Average Loss  1.449332, Time  0.444731
2021-09-24 04:51:59.138868 : Epoch  3, Batch    245, Loss  1.442891, Average Loss  1.450012, Time  0.458342
2021-09-24 04:52:00.226378 : Epoch  3, Batch    291, Loss  1.442373, Average Loss  1.449273, Time  0.441432
2021-09-24 04:52:05.067902 : Epoch  3, Batch    246, Loss  1.453099, Average Loss  1.450048, Time  0.443305
2021-09-24 04:52:06.129333 : Epoch  3, Batch    292, Loss  1.444926, Average Loss  1.449277, Time  0.440363
2021-09-24 04:52:10.998913 : Epoch  3, Batch    247, Loss  1.460906, Average Loss  1.450095, Time  0.445307
2021-09-24 04:52:12.050319 : Epoch  3, Batch    293, Loss  1.458636, Average Loss  1.449334, Time  0.451786
2021-09-24 04:52:16.937331 : Epoch  3, Batch    248, Loss  1.442599, Average Loss  1.450086, Time  0.444169
2021-09-24 04:52:17.960766 : Epoch  3, Batch    294, Loss  1.444670, Average Loss  1.449294, Time  0.439982
2021-09-24 04:52:22.872622 : Epoch  3, Batch    249, Loss  1.447672, Average Loss  1.450036, Time  0.443781
2021-09-24 04:52:23.881724 : Epoch  3, Batch    295, Loss  1.447230, Average Loss  1.449209, Time  0.440327
2021-09-24 04:52:28.841855 : Epoch  3, Batch    250, Loss  1.453270, Average Loss  1.450033, Time  0.447464
2021-09-24 04:52:29.813693 : Epoch  3, Batch    296, Loss  1.452024, Average Loss  1.449201, Time  0.443889
2021-09-24 04:52:33.241774 : Epoch  3, Batch    251, Loss  1.447439, Average Loss  1.450040, Time  0.343555
2021-09-24 04:52:35.736623 : Epoch  3, Batch    297, Loss  1.452441, Average Loss  1.449264, Time  0.438524
2021-09-24 04:52:39.192912 : Epoch  3, Batch    252, Loss  1.449180, Average Loss  1.450031, Time  0.443409
2021-09-24 04:52:41.662054 : Epoch  3, Batch    298, Loss  1.445539, Average Loss  1.449279, Time  0.439620
2021-09-24 04:52:45.135360 : Epoch  3, Batch    253, Loss  1.447548, Average Loss  1.450011, Time  0.453994
2021-09-24 04:52:47.586910 : Epoch  3, Batch    299, Loss  1.443076, Average Loss  1.449201, Time  0.439363
2021-09-24 04:52:51.085145 : Epoch  3, Batch    254, Loss  1.455817, Average Loss  1.450071, Time  0.444247
2021-09-24 04:52:53.506746 : Epoch  3, Batch    300, Loss  1.459818, Average Loss  1.449184, Time  0.438657
2021-09-24 04:52:57.029014 : Epoch  3, Batch    255, Loss  1.450656, Average Loss  1.450108, Time  0.442652
2021-09-24 04:52:59.449805 : Epoch  3, Batch    301, Loss  1.436284, Average Loss  1.449098, Time  0.451398
2021-09-24 04:53:02.972708 : Epoch  3, Batch    256, Loss  1.449944, Average Loss  1.450187, Time  0.444499
2021-09-24 04:53:05.386944 : Epoch  3, Batch    302, Loss  1.443591, Average Loss  1.449106, Time  0.440853
2021-09-24 04:53:08.921889 : Epoch  3, Batch    257, Loss  1.454460, Average Loss  1.450233, Time  0.446117
2021-09-24 04:53:11.316880 : Epoch  3, Batch    303, Loss  1.455496, Average Loss  1.449232, Time  0.445288
2021-09-24 04:53:14.864908 : Epoch  3, Batch    258, Loss  1.437612, Average Loss  1.450154, Time  0.444673
2021-09-24 04:53:17.244933 : Epoch  3, Batch    304, Loss  1.455463, Average Loss  1.449279, Time  0.438785
2021-09-24 04:53:20.815055 : Epoch  3, Batch    259, Loss  1.449067, Average Loss  1.450078, Time  0.445658
2021-09-24 04:53:23.198117 : Epoch  3, Batch    305, Loss  1.450414, Average Loss  1.449300, Time  0.439403
2021-09-24 04:53:26.766594 : Epoch  3, Batch    260, Loss  1.441404, Average Loss  1.450005, Time  0.444664
2021-09-24 04:53:29.120750 : Epoch  3, Batch    306, Loss  1.449496, Average Loss  1.449325, Time  0.440943
2021-09-24 04:53:32.715375 : Epoch  3, Batch    261, Loss  1.439946, Average Loss  1.449947, Time  0.459181
2021-09-24 04:53:35.050618 : Epoch  3, Batch    307, Loss  1.452986, Average Loss  1.449318, Time  0.440471
2021-09-24 04:53:38.672224 : Epoch  3, Batch    262, Loss  1.453874, Average Loss  1.449949, Time  0.443232
2021-09-24 04:53:40.973301 : Epoch  3, Batch    308, Loss  1.465394, Average Loss  1.449424, Time  0.440068
2021-09-24 04:53:44.619636 : Epoch  3, Batch    263, Loss  1.448372, Average Loss  1.449939, Time  0.445017
2021-09-24 04:53:46.896770 : Epoch  3, Batch    309, Loss  1.448175, Average Loss  1.449434, Time  0.446023
2021-09-24 04:53:50.560289 : Epoch  3, Batch    264, Loss  1.454999, Average Loss  1.449959, Time  0.444976
2021-09-24 04:53:52.820830 : Epoch  3, Batch    310, Loss  1.446162, Average Loss  1.449447, Time  0.438291
2021-09-24 04:53:56.518554 : Epoch  3, Batch    265, Loss  1.440428, Average Loss  1.449927, Time  0.448417
2021-09-24 04:53:58.739953 : Epoch  3, Batch    311, Loss  1.454432, Average Loss  1.449499, Time  0.444318
2021-09-24 04:54:02.459500 : Epoch  3, Batch    266, Loss  1.456072, Average Loss  1.449970, Time  0.444124
2021-09-24 04:54:04.657990 : Epoch  3, Batch    312, Loss  1.453497, Average Loss  1.449568, Time  0.440695
2021-09-24 04:54:08.395777 : Epoch  3, Batch    267, Loss  1.451961, Average Loss  1.450021, Time  0.445120
2021-09-24 04:54:10.597870 : Epoch  3, Batch    313, Loss  1.452410, Average Loss  1.449571, Time  0.442918
2021-09-24 04:54:14.344743 : Epoch  3, Batch    268, Loss  1.446519, Average Loss  1.449955, Time  0.444693
2021-09-24 04:54:16.530568 : Epoch  3, Batch    314, Loss  1.453120, Average Loss  1.449603, Time  0.438748
2021-09-24 04:54:20.295141 : Epoch  3, Batch    269, Loss  1.450633, Average Loss  1.449871, Time  0.459823
2021-09-24 04:54:22.458220 : Epoch  3, Batch    315, Loss  1.451310, Average Loss  1.449657, Time  0.439577
2021-09-24 04:54:26.236792 : Epoch  3, Batch    270, Loss  1.457687, Average Loss  1.449877, Time  0.443614
2021-09-24 04:54:28.360430 : Epoch  3, Batch    316, Loss  1.462239, Average Loss  1.449707, Time  0.438593
2021-09-24 04:54:32.171697 : Epoch  3, Batch    271, Loss  1.447249, Average Loss  1.449854, Time  0.443311
2021-09-24 04:54:34.283198 : Epoch  3, Batch    317, Loss  1.451173, Average Loss  1.449697, Time  0.453830
2021-09-24 04:54:38.127196 : Epoch  3, Batch    272, Loss  1.454559, Average Loss  1.449873, Time  0.457247
2021-09-24 04:54:40.212588 : Epoch  3, Batch    318, Loss  1.453881, Average Loss  1.449765, Time  0.439829
2021-09-24 04:54:44.050901 : Epoch  3, Batch    273, Loss  1.451467, Average Loss  1.449856, Time  0.443391
2021-09-24 04:54:46.119853 : Epoch  3, Batch    319, Loss  1.437037, Average Loss  1.449628, Time  0.441719
2021-09-24 04:54:50.000222 : Epoch  3, Batch    274, Loss  1.455527, Average Loss  1.449858, Time  0.442221
2021-09-24 04:54:52.039201 : Epoch  3, Batch    320, Loss  1.449786, Average Loss  1.449629, Time  0.441420
2021-09-24 04:54:55.934177 : Epoch  3, Batch    275, Loss  1.452649, Average Loss  1.449882, Time  0.443521
2021-09-24 04:54:57.957313 : Epoch  3, Batch    321, Loss  1.445899, Average Loss  1.449574, Time  0.439436
2021-09-24 04:55:01.875704 : Epoch  3, Batch    276, Loss  1.441084, Average Loss  1.449917, Time  0.445513
2021-09-24 04:55:03.882917 : Epoch  3, Batch    322, Loss  1.457257, Average Loss  1.449586, Time  0.444227
2021-09-24 04:55:07.828060 : Epoch  3, Batch    277, Loss  1.443325, Average Loss  1.449953, Time  0.457173
2021-09-24 04:55:09.804653 : Epoch  3, Batch    323, Loss  1.444769, Average Loss  1.449519, Time  0.440375
2021-09-24 04:55:13.772715 : Epoch  3, Batch    278, Loss  1.431712, Average Loss  1.449831, Time  0.444557
2021-09-24 04:55:15.707593 : Epoch  3, Batch    324, Loss  1.448296, Average Loss  1.449498, Time  0.438792
2021-09-24 04:55:19.696554 : Epoch  3, Batch    279, Loss  1.443873, Average Loss  1.449790, Time  0.443268
2021-09-24 04:55:21.632428 : Epoch  3, Batch    325, Loss  1.453258, Average Loss  1.449534, Time  0.448653
2021-09-24 04:55:25.637504 : Epoch  3, Batch    280, Loss  1.446148, Average Loss  1.449768, Time  0.443773
2021-09-24 04:55:27.553713 : Epoch  3, Batch    326, Loss  1.441006, Average Loss  1.449555, Time  0.438580
2021-09-24 04:55:31.579718 : Epoch  3, Batch    281, Loss  1.452693, Average Loss  1.449709, Time  0.444254
2021-09-24 04:55:33.479930 : Epoch  3, Batch    327, Loss  1.454450, Average Loss  1.449582, Time  0.440765
2021-09-24 04:55:37.517379 : Epoch  3, Batch    282, Loss  1.450413, Average Loss  1.449639, Time  0.443080
2021-09-24 04:55:39.411865 : Epoch  3, Batch    328, Loss  1.442689, Average Loss  1.449556, Time  0.440282
2021-09-24 04:55:43.444122 : Epoch  3, Batch    283, Loss  1.438152, Average Loss  1.449564, Time  0.443295
2021-09-24 04:55:45.324035 : Epoch  3, Batch    329, Loss  1.460300, Average Loss  1.449637, Time  0.441160
2021-09-24 04:55:49.379939 : Epoch  3, Batch    284, Loss  1.434571, Average Loss  1.449533, Time  0.443966
2021-09-24 04:55:51.243879 : Epoch  3, Batch    330, Loss  1.451880, Average Loss  1.449636, Time  0.440876
2021-09-24 04:55:55.348270 : Epoch  3, Batch    285, Loss  1.454543, Average Loss  1.449507, Time  0.452452
2021-09-24 04:55:57.159803 : Epoch  3, Batch    331, Loss  1.452272, Average Loss  1.449722, Time  0.441537
2021-09-24 04:56:01.287130 : Epoch  3, Batch    286, Loss  1.445968, Average Loss  1.449548, Time  0.443375
2021-09-24 04:56:03.094646 : Epoch  3, Batch    332, Loss  1.457094, Average Loss  1.449739, Time  0.438821
2021-09-24 04:56:07.237995 : Epoch  3, Batch    287, Loss  1.441562, Average Loss  1.449534, Time  0.444205
2021-09-24 04:56:09.030523 : Epoch  3, Batch    333, Loss  1.455479, Average Loss  1.449750, Time  0.454125
2021-09-24 04:56:13.179054 : Epoch  3, Batch    288, Loss  1.451757, Average Loss  1.449543, Time  0.448917
2021-09-24 04:56:14.934237 : Epoch  3, Batch    334, Loss  1.451062, Average Loss  1.449784, Time  0.438514
2021-09-24 04:56:19.113151 : Epoch  3, Batch    289, Loss  1.444445, Average Loss  1.449484, Time  0.444187
2021-09-24 04:56:20.856192 : Epoch  3, Batch    335, Loss  1.441465, Average Loss  1.449752, Time  0.440094
2021-09-24 04:56:25.031915 : Epoch  3, Batch    290, Loss  1.453122, Average Loss  1.449528, Time  0.444865
2021-09-24 04:56:26.749162 : Epoch  3, Batch    336, Loss  1.456465, Average Loss  1.449774, Time  0.441572
2021-09-24 04:56:30.964725 : Epoch  3, Batch    291, Loss  1.453252, Average Loss  1.449506, Time  0.449366
2021-09-24 04:56:32.632862 : Epoch  3, Batch    337, Loss  1.453636, Average Loss  1.449726, Time  0.440018
2021-09-24 04:56:36.916852 : Epoch  3, Batch    292, Loss  1.452626, Average Loss  1.449569, Time  0.443266
2021-09-24 04:56:38.546760 : Epoch  3, Batch    338, Loss  1.434639, Average Loss  1.449643, Time  0.438977
2021-09-24 04:56:42.876236 : Epoch  3, Batch    293, Loss  1.448078, Average Loss  1.449511, Time  0.458054
2021-09-24 04:56:44.474460 : Epoch  3, Batch    339, Loss  1.463861, Average Loss  1.449705, Time  0.442708
2021-09-24 04:56:48.817285 : Epoch  3, Batch    294, Loss  1.454616, Average Loss  1.449516, Time  0.443482
2021-09-24 04:56:50.413781 : Epoch  3, Batch    340, Loss  1.447691, Average Loss  1.449686, Time  0.445058
2021-09-24 04:56:54.756795 : Epoch  3, Batch    295, Loss  1.455476, Average Loss  1.449488, Time  0.443780
2021-09-24 04:56:56.340281 : Epoch  3, Batch    341, Loss  1.451176, Average Loss  1.449668, Time  0.450552
2021-09-24 04:57:00.693813 : Epoch  3, Batch    296, Loss  1.455174, Average Loss  1.449520, Time  0.445550
2021-09-24 04:57:02.256182 : Epoch  3, Batch    342, Loss  1.451359, Average Loss  1.449652, Time  0.439291
2021-09-24 04:57:06.658299 : Epoch  3, Batch    297, Loss  1.447746, Average Loss  1.449550, Time  0.452070
2021-09-24 04:57:08.169160 : Epoch  3, Batch    343, Loss  1.453137, Average Loss  1.449641, Time  0.439214
2021-09-24 04:57:12.581399 : Epoch  3, Batch    298, Loss  1.457222, Average Loss  1.449635, Time  0.444749
2021-09-24 04:57:14.092439 : Epoch  3, Batch    344, Loss  1.447848, Average Loss  1.449667, Time  0.439940
2021-09-24 04:57:18.544327 : Epoch  3, Batch    299, Loss  1.438219, Average Loss  1.449538, Time  0.445042
2021-09-24 04:57:24.486178 : Epoch  3, Batch    300, Loss  1.448083, Average Loss  1.449477, Time  0.444632
2021-09-24 04:57:30.430889 : Epoch  3, Batch    301, Loss  1.457413, Average Loss  1.449441, Time  0.458467
2021-09-24 04:57:36.381629 : Epoch  3, Batch    302, Loss  1.442372, Average Loss  1.449381, Time  0.443937
2021-09-24 04:57:42.336881 : Epoch  3, Batch    303, Loss  1.447189, Average Loss  1.449355, Time  0.443383
2021-09-24 04:57:48.285814 : Epoch  3, Batch    304, Loss  1.461125, Average Loss  1.449383, Time  0.449332
2021-09-24 04:57:54.240050 : Epoch  3, Batch    305, Loss  1.436181, Average Loss  1.449342, Time  0.446748
2021-09-24 04:58:00.191712 : Epoch  3, Batch    306, Loss  1.449971, Average Loss  1.449307, Time  0.444446
2021-09-24 04:58:06.131891 : Epoch  3, Batch    307, Loss  1.451056, Average Loss  1.449307, Time  0.443896
2021-09-24 04:58:12.092503 : Epoch  3, Batch    308, Loss  1.453746, Average Loss  1.449344, Time  0.461498
2021-09-24 04:58:18.046332 : Epoch  3, Batch    309, Loss  1.439823, Average Loss  1.449374, Time  0.444693
2021-09-24 04:58:23.992859 : Epoch  3, Batch    310, Loss  1.444273, Average Loss  1.449342, Time  0.445323
2021-09-24 04:58:29.934580 : Epoch  3, Batch    311, Loss  1.444009, Average Loss  1.449290, Time  0.444116
2021-09-24 04:58:35.882619 : Epoch  3, Batch    312, Loss  1.447071, Average Loss  1.449243, Time  0.445894
2021-09-24 04:58:41.863825 : Epoch  3, Batch    313, Loss  1.440552, Average Loss  1.449207, Time  0.444050
2021-09-24 04:58:47.816283 : Epoch  3, Batch    314, Loss  1.455903, Average Loss  1.449240, Time  0.443536
2021-09-24 04:58:53.766723 : Epoch  3, Batch    315, Loss  1.455140, Average Loss  1.449327, Time  0.446785
2021-09-24 04:58:59.703012 : Epoch  3, Batch    316, Loss  1.455627, Average Loss  1.449382, Time  0.449636
2021-09-24 04:59:05.648507 : Epoch  3, Batch    317, Loss  1.453355, Average Loss  1.449462, Time  0.444368
2021-09-24 04:59:11.585706 : Epoch  3, Batch    318, Loss  1.455263, Average Loss  1.449452, Time  0.444064
2021-09-24 04:59:17.531197 : Epoch  3, Batch    319, Loss  1.433653, Average Loss  1.449346, Time  0.444638
2021-09-24 04:59:23.487848 : Epoch  3, Batch    320, Loss  1.439035, Average Loss  1.449311, Time  0.447284
2021-09-24 04:59:29.432902 : Epoch  3, Batch    321, Loss  1.451294, Average Loss  1.449288, Time  0.442945
2021-09-24 04:59:35.385702 : Epoch  3, Batch    322, Loss  1.457834, Average Loss  1.449307, Time  0.442707
2021-09-24 04:59:41.326741 : Epoch  3, Batch    323, Loss  1.448293, Average Loss  1.449307, Time  0.445209
2021-09-24 04:59:47.292828 : Epoch  3, Batch    324, Loss  1.440178, Average Loss  1.449248, Time  0.453921
2021-09-24 04:59:53.217741 : Epoch  3, Batch    325, Loss  1.452254, Average Loss  1.449238, Time  0.447631
2021-09-24 04:59:59.162396 : Epoch  3, Batch    326, Loss  1.451124, Average Loss  1.449294, Time  0.444051
2021-09-24 05:00:05.116822 : Epoch  3, Batch    327, Loss  1.455572, Average Loss  1.449339, Time  0.443819
2021-09-24 05:00:11.057611 : Epoch  3, Batch    328, Loss  1.452661, Average Loss  1.449359, Time  0.445495
2021-09-24 05:00:17.021876 : Epoch  3, Batch    329, Loss  1.453856, Average Loss  1.449402, Time  0.444566
2021-09-24 05:00:22.964579 : Epoch  3, Batch    330, Loss  1.451390, Average Loss  1.449396, Time  0.446081
2021-09-24 05:00:28.922699 : Epoch  3, Batch    331, Loss  1.440932, Average Loss  1.449397, Time  0.444901
2021-09-24 05:00:34.881991 : Epoch  3, Batch    332, Loss  1.434995, Average Loss  1.449331, Time  0.457764
2021-09-24 05:00:40.827151 : Epoch  3, Batch    333, Loss  1.439550, Average Loss  1.449296, Time  0.445943
2021-09-24 05:00:46.774982 : Epoch  3, Batch    334, Loss  1.451936, Average Loss  1.449238, Time  0.446634
2021-09-24 05:00:52.724926 : Epoch  3, Batch    335, Loss  1.454455, Average Loss  1.449196, Time  0.445804
2021-09-24 05:00:58.683830 : Epoch  3, Batch    336, Loss  1.449727, Average Loss  1.449191, Time  0.448999
2021-09-24 05:01:04.635950 : Epoch  3, Batch    337, Loss  1.447621, Average Loss  1.449181, Time  0.449779
2021-09-24 05:01:10.569758 : Epoch  3, Batch    338, Loss  1.435742, Average Loss  1.449101, Time  0.444218
2021-09-24 05:01:16.521970 : Epoch  3, Batch    339, Loss  1.440412, Average Loss  1.449105, Time  0.443546
2021-09-24 05:01:22.473654 : Epoch  3, Batch    340, Loss  1.437652, Average Loss  1.449019, Time  0.459538
2021-09-24 05:01:28.415588 : Epoch  3, Batch    341, Loss  1.455306, Average Loss  1.448999, Time  0.444419
2021-09-24 05:01:34.359052 : Epoch  3, Batch    342, Loss  1.445427, Average Loss  1.448989, Time  0.444997
2021-09-24 05:01:40.307566 : Epoch  3, Batch    343, Loss  1.456317, Average Loss  1.449007, Time  0.443435
2021-09-24 05:01:46.252897 : Epoch  3, Batch    344, Loss  1.439307, Average Loss  1.448920, Time  0.443429
2021-09-24 05:01:53.180095 : CheckPoint: Validation Loss  0.00025140, Best Loss  0.00024773
2021-09-24 05:01:59.117921 : Epoch  3, Batch    345, Loss  1.453201, Average Loss  1.449727, Time  0.441816
2021-09-24 05:02:05.091265 : Epoch  3, Batch    346, Loss  1.445167, Average Loss  1.449665, Time  0.456297
2021-09-24 05:02:11.029701 : Epoch  3, Batch    347, Loss  1.447164, Average Loss  1.449664, Time  0.441488
2021-09-24 05:02:17.005670 : Epoch  3, Batch    348, Loss  1.446882, Average Loss  1.449672, Time  0.453655
2021-09-24 05:02:22.957844 : Epoch  3, Batch    349, Loss  1.450801, Average Loss  1.449583, Time  0.438972
2021-09-24 05:02:28.889776 : Epoch  3, Batch    350, Loss  1.447256, Average Loss  1.449578, Time  0.442806
2021-09-24 05:02:34.835761 : Epoch  3, Batch    351, Loss  1.451392, Average Loss  1.449595, Time  0.438283
2021-09-24 05:02:40.781797 : Epoch  3, Batch    352, Loss  1.453432, Average Loss  1.449655, Time  0.439149
2021-09-24 05:02:46.710533 : Epoch  3, Batch    353, Loss  1.434002, Average Loss  1.449558, Time  0.439417
2021-09-24 05:02:52.665312 : Epoch  3, Batch    354, Loss  1.435814, Average Loss  1.449520, Time  0.440786
2021-09-24 05:02:58.635006 : Epoch  3, Batch    355, Loss  1.450581, Average Loss  1.449533, Time  0.454031
2021-09-24 05:03:04.594950 : Epoch  3, Batch    356, Loss  1.440462, Average Loss  1.449498, Time  0.445243
2021-09-24 05:03:10.552837 : Epoch  3, Batch    357, Loss  1.452456, Average Loss  1.449475, Time  0.444441
2021-09-24 05:03:16.497173 : Epoch  3, Batch    358, Loss  1.453987, Average Loss  1.449404, Time  0.444946
2021-09-24 05:03:22.439903 : Epoch  3, Batch    359, Loss  1.443979, Average Loss  1.449310, Time  0.441700
2021-09-24 05:03:28.363270 : Epoch  3, Batch    360, Loss  1.444753, Average Loss  1.449298, Time  0.439027
2021-09-24 05:03:34.329276 : Epoch  3, Batch    361, Loss  1.457133, Average Loss  1.449354, Time  0.439954
2021-09-24 05:03:40.306568 : Epoch  3, Batch    362, Loss  1.459628, Average Loss  1.449371, Time  0.444322
2021-09-24 05:03:46.263988 : Epoch  3, Batch    363, Loss  1.443238, Average Loss  1.449255, Time  0.459309
2021-09-24 05:03:52.204592 : Epoch  3, Batch    364, Loss  1.459137, Average Loss  1.449332, Time  0.438776
2021-09-24 05:03:58.146891 : Epoch  3, Batch    365, Loss  1.454400, Average Loss  1.449288, Time  0.443650
2021-09-24 05:04:04.091028 : Epoch  3, Batch    366, Loss  1.457546, Average Loss  1.449329, Time  0.443040
2021-09-24 05:04:10.052231 : Epoch  3, Batch    367, Loss  1.452044, Average Loss  1.449401, Time  0.439903
2021-09-24 05:04:15.991162 : Epoch  3, Batch    368, Loss  1.443095, Average Loss  1.449397, Time  0.438718
2021-09-24 05:04:21.936579 : Epoch  3, Batch    369, Loss  1.451857, Average Loss  1.449409, Time  0.444006
2021-09-24 05:04:27.880225 : Epoch  3, Batch    370, Loss  1.453434, Average Loss  1.449454, Time  0.441528
2021-09-24 05:04:33.826652 : Epoch  3, Batch    371, Loss  1.450392, Average Loss  1.449528, Time  0.446469
2021-09-24 05:04:39.778024 : Epoch  3, Batch    372, Loss  1.451595, Average Loss  1.449552, Time  0.439793
2021-09-24 05:04:45.738906 : Epoch  3, Batch    373, Loss  1.459066, Average Loss  1.449616, Time  0.439063
2021-09-24 05:04:51.693008 : Epoch  3, Batch    374, Loss  1.451319, Average Loss  1.449618, Time  0.439009
2021-09-24 05:04:57.628609 : Epoch  3, Batch    375, Loss  1.448167, Average Loss  1.449600, Time  0.444510
2021-09-24 05:05:03.578733 : Epoch  3, Batch    376, Loss  1.448793, Average Loss  1.449616, Time  0.438809
2021-09-24 05:05:09.522470 : Epoch  3, Batch    377, Loss  1.437252, Average Loss  1.449539, Time  0.441546
2021-09-24 05:05:15.470855 : Epoch  3, Batch    378, Loss  1.438128, Average Loss  1.449499, Time  0.439248
2021-09-24 05:05:21.409681 : Epoch  3, Batch    379, Loss  1.437447, Average Loss  1.449352, Time  0.448939
2021-09-24 05:05:27.343551 : Epoch  3, Batch    380, Loss  1.454520, Average Loss  1.449420, Time  0.440854
2021-09-24 05:05:33.286701 : Epoch  3, Batch    381, Loss  1.450795, Average Loss  1.449403, Time  0.440328
2021-09-24 05:05:39.245728 : Epoch  3, Batch    382, Loss  1.450001, Average Loss  1.449394, Time  0.439119
2021-09-24 05:05:45.171185 : Epoch  3, Batch    383, Loss  1.443710, Average Loss  1.449341, Time  0.438713
2021-09-24 05:05:51.112796 : Epoch  3, Batch    384, Loss  1.458656, Average Loss  1.449400, Time  0.440611
2021-09-24 05:05:57.045775 : Epoch  3, Batch    385, Loss  1.455046, Average Loss  1.449387, Time  0.439789
2021-09-24 05:06:02.975085 : Epoch  3, Batch    386, Loss  1.450325, Average Loss  1.449386, Time  0.439137
2021-09-24 05:06:08.944784 : Epoch  3, Batch    387, Loss  1.447167, Average Loss  1.449391, Time  0.456347
2021-09-24 05:06:14.903974 : Epoch  3, Batch    388, Loss  1.452786, Average Loss  1.449461, Time  0.440542
2021-09-24 05:06:20.831456 : Epoch  3, Batch    389, Loss  1.442794, Average Loss  1.449388, Time  0.441457
2021-09-24 05:06:24.619467 : CheckPoint: Validation Loss  0.00025337, Best Loss  0.00024587
2021-09-24 05:06:26.759747 : Epoch  3, Batch    390, Loss  1.459428, Average Loss  1.449489, Time  0.439081
2021-09-24 05:06:30.581769 : Epoch  3, Batch    345, Loss  1.445228, Average Loss  1.448870, Time  0.445991
2021-09-24 05:06:32.695732 : Epoch  3, Batch    391, Loss  1.446388, Average Loss  1.449477, Time  0.438184
2021-09-24 05:06:36.529947 : Epoch  3, Batch    346, Loss  1.438953, Average Loss  1.448780, Time  0.445753
2021-09-24 05:06:38.654799 : Epoch  3, Batch    392, Loss  1.429819, Average Loss  1.449421, Time  0.440200
2021-09-24 05:06:42.498400 : Epoch  3, Batch    347, Loss  1.458846, Average Loss  1.448811, Time  0.460114
2021-09-24 05:06:44.599885 : Epoch  3, Batch    393, Loss  1.451270, Average Loss  1.449471, Time  0.439458
2021-09-24 05:06:48.471622 : Epoch  3, Batch    348, Loss  1.443319, Average Loss  1.448787, Time  0.450105
2021-09-24 05:06:50.534697 : Epoch  3, Batch    394, Loss  1.443951, Average Loss  1.449449, Time  0.446029
2021-09-24 05:06:54.399126 : Epoch  3, Batch    349, Loss  1.443569, Average Loss  1.448740, Time  0.445349
2021-09-24 05:06:56.467898 : Epoch  3, Batch    395, Loss  1.441347, Average Loss  1.449410, Time  0.444615
2021-09-24 05:07:00.327842 : Epoch  3, Batch    350, Loss  1.444928, Average Loss  1.448720, Time  0.444981
2021-09-24 05:07:02.393761 : Epoch  3, Batch    396, Loss  1.444035, Average Loss  1.449349, Time  0.439698
2021-09-24 05:07:06.278594 : Epoch  3, Batch    351, Loss  1.458798, Average Loss  1.448791, Time  0.445000
2021-09-24 05:07:08.345895 : Epoch  3, Batch    397, Loss  1.448378, Average Loss  1.449312, Time  0.438833
2021-09-24 05:07:12.214439 : Epoch  3, Batch    352, Loss  1.442596, Average Loss  1.448743, Time  0.450356
2021-09-24 05:07:14.272744 : Epoch  3, Batch    398, Loss  1.440455, Average Loss  1.449248, Time  0.440583
2021-09-24 05:07:18.146747 : Epoch  3, Batch    353, Loss  1.435041, Average Loss  1.448683, Time  0.443532
2021-09-24 05:07:20.195726 : Epoch  3, Batch    399, Loss  1.440990, Average Loss  1.449229, Time  0.438560
2021-09-24 05:07:24.086718 : Epoch  3, Batch    354, Loss  1.451496, Average Loss  1.448701, Time  0.446730
2021-09-24 05:07:26.149572 : Epoch  3, Batch    400, Loss  1.442010, Average Loss  1.449211, Time  0.439018
2021-09-24 05:07:30.048864 : Epoch  3, Batch    355, Loss  1.439430, Average Loss  1.448704, Time  0.454825
2021-09-24 05:07:32.100233 : Epoch  3, Batch    401, Loss  1.450384, Average Loss  1.449221, Time  0.443459
2021-09-24 05:07:35.995782 : Epoch  3, Batch    356, Loss  1.467275, Average Loss  1.448824, Time  0.445942
2021-09-24 05:07:38.070851 : Epoch  3, Batch    402, Loss  1.451043, Average Loss  1.449264, Time  0.453133
2021-09-24 05:07:41.945900 : Epoch  3, Batch    357, Loss  1.439573, Average Loss  1.448750, Time  0.445688
2021-09-24 05:07:44.007790 : Epoch  3, Batch    403, Loss  1.443788, Average Loss  1.449236, Time  0.442019
2021-09-24 05:07:47.884640 : Epoch  3, Batch    358, Loss  1.459788, Average Loss  1.448814, Time  0.448902
2021-09-24 05:07:49.977802 : Epoch  3, Batch    404, Loss  1.448591, Average Loss  1.449253, Time  0.445909
2021-09-24 05:07:53.838075 : Epoch  3, Batch    359, Loss  1.448867, Average Loss  1.448764, Time  0.444157
2021-09-24 05:07:55.928895 : Epoch  3, Batch    405, Loss  1.437998, Average Loss  1.449235, Time  0.440929
2021-09-24 05:07:59.779848 : Epoch  3, Batch    360, Loss  1.456410, Average Loss  1.448808, Time  0.444887
2021-09-24 05:08:01.869842 : Epoch  3, Batch    406, Loss  1.445996, Average Loss  1.449209, Time  0.438864
2021-09-24 05:08:05.718132 : Epoch  3, Batch    361, Loss  1.458265, Average Loss  1.448802, Time  0.445323
2021-09-24 05:08:07.823856 : Epoch  3, Batch    407, Loss  1.459727, Average Loss  1.449228, Time  0.439053
2021-09-24 05:08:11.671210 : Epoch  3, Batch    362, Loss  1.457041, Average Loss  1.448820, Time  0.443975
2021-09-24 05:08:13.790309 : Epoch  3, Batch    408, Loss  1.442000, Average Loss  1.449160, Time  0.439175
2021-09-24 05:08:17.626787 : Epoch  3, Batch    363, Loss  1.443376, Average Loss  1.448812, Time  0.456571
2021-09-24 05:08:19.741311 : Epoch  3, Batch    409, Loss  1.442119, Average Loss  1.449134, Time  0.439701
2021-09-24 05:08:23.562423 : Epoch  3, Batch    364, Loss  1.457494, Average Loss  1.448877, Time  0.446791
2021-09-24 05:08:25.693855 : Epoch  3, Batch    410, Loss  1.449861, Average Loss  1.449115, Time  0.453153
2021-09-24 05:08:29.513220 : Epoch  3, Batch    365, Loss  1.444886, Average Loss  1.448824, Time  0.443942
2021-09-24 05:08:31.644800 : Epoch  3, Batch    411, Loss  1.460650, Average Loss  1.449145, Time  0.440005
2021-09-24 05:08:35.455306 : Epoch  3, Batch    366, Loss  1.445639, Average Loss  1.448756, Time  0.443584
2021-09-24 05:08:37.597662 : Epoch  3, Batch    412, Loss  1.456039, Average Loss  1.449189, Time  0.440600
2021-09-24 05:08:41.402446 : Epoch  3, Batch    367, Loss  1.456193, Average Loss  1.448806, Time  0.443287
2021-09-24 05:08:43.550530 : Epoch  3, Batch    413, Loss  1.436798, Average Loss  1.449143, Time  0.441329
2021-09-24 05:08:47.330618 : Epoch  3, Batch    368, Loss  1.451262, Average Loss  1.448778, Time  0.443268
2021-09-24 05:08:49.493406 : Epoch  3, Batch    414, Loss  1.444096, Average Loss  1.449133, Time  0.440337
2021-09-24 05:08:53.290271 : Epoch  3, Batch    369, Loss  1.433952, Average Loss  1.448719, Time  0.443900
2021-09-24 05:08:55.447565 : Epoch  3, Batch    415, Loss  1.441302, Average Loss  1.449119, Time  0.439330
2021-09-24 05:08:59.249970 : Epoch  3, Batch    370, Loss  1.444541, Average Loss  1.448682, Time  0.456330
2021-09-24 05:09:01.380601 : Epoch  3, Batch    416, Loss  1.450699, Average Loss  1.449098, Time  0.439929
2021-09-24 05:09:05.200222 : Epoch  3, Batch    371, Loss  1.442648, Average Loss  1.448644, Time  0.443377
2021-09-24 05:09:07.327486 : Epoch  3, Batch    417, Loss  1.455460, Average Loss  1.449123, Time  0.439142
2021-09-24 05:09:11.134741 : Epoch  3, Batch    372, Loss  1.443295, Average Loss  1.448664, Time  0.444006
2021-09-24 05:09:13.273225 : Epoch  3, Batch    418, Loss  1.455085, Average Loss  1.449139, Time  0.450870
2021-09-24 05:09:17.078366 : Epoch  3, Batch    373, Loss  1.443160, Average Loss  1.448655, Time  0.443176
2021-09-24 05:09:19.211257 : Epoch  3, Batch    419, Loss  1.454189, Average Loss  1.449214, Time  0.439274
2021-09-24 05:09:23.015644 : Epoch  3, Batch    374, Loss  1.449471, Average Loss  1.448647, Time  0.445607
2021-09-24 05:09:25.159312 : Epoch  3, Batch    420, Loss  1.443222, Average Loss  1.449219, Time  0.438902
2021-09-24 05:09:28.972411 : Epoch  3, Batch    375, Loss  1.447804, Average Loss  1.448655, Time  0.445333
2021-09-24 05:09:31.125818 : Epoch  3, Batch    421, Loss  1.454162, Average Loss  1.449247, Time  0.444480
2021-09-24 05:09:34.903611 : Epoch  3, Batch    376, Loss  1.431273, Average Loss  1.448560, Time  0.444410
2021-09-24 05:09:37.086183 : Epoch  3, Batch    422, Loss  1.444944, Average Loss  1.449197, Time  0.440249
2021-09-24 05:09:40.860913 : Epoch  3, Batch    377, Loss  1.450037, Average Loss  1.448612, Time  0.444057
2021-09-24 05:09:43.032767 : Epoch  3, Batch    423, Loss  1.447458, Average Loss  1.449143, Time  0.440893
2021-09-24 05:09:46.819633 : Epoch  3, Batch    378, Loss  1.455463, Average Loss  1.448580, Time  0.460947
2021-09-24 05:09:49.004596 : Epoch  3, Batch    424, Loss  1.451288, Average Loss  1.449191, Time  0.439961
2021-09-24 05:09:52.768265 : Epoch  3, Batch    379, Loss  1.446225, Average Loss  1.448507, Time  0.443778
2021-09-24 05:09:54.953751 : Epoch  3, Batch    425, Loss  1.447757, Average Loss  1.449196, Time  0.439490
2021-09-24 05:09:58.730186 : Epoch  3, Batch    380, Loss  1.453487, Average Loss  1.448519, Time  0.443565
2021-09-24 05:10:00.884627 : Epoch  3, Batch    426, Loss  1.451180, Average Loss  1.449173, Time  0.446972
2021-09-24 05:10:04.671566 : Epoch  3, Batch    381, Loss  1.452725, Average Loss  1.448548, Time  0.443842
2021-09-24 05:10:06.829917 : Epoch  3, Batch    427, Loss  1.451305, Average Loss  1.449178, Time  0.439816
2021-09-24 05:10:10.615407 : Epoch  3, Batch    382, Loss  1.450029, Average Loss  1.448495, Time  0.443199
2021-09-24 05:10:12.765011 : Epoch  3, Batch    428, Loss  1.442779, Average Loss  1.449152, Time  0.439197
2021-09-24 05:10:16.558087 : Epoch  3, Batch    383, Loss  1.454565, Average Loss  1.448498, Time  0.443856
2021-09-24 05:10:18.689055 : Epoch  3, Batch    429, Loss  1.456727, Average Loss  1.449184, Time  0.440545
2021-09-24 05:10:22.494875 : Epoch  3, Batch    384, Loss  1.445268, Average Loss  1.448506, Time  0.443212
2021-09-24 05:10:24.647477 : Epoch  3, Batch    430, Loss  1.434641, Average Loss  1.449154, Time  0.443959
2021-09-24 05:10:28.449050 : Epoch  3, Batch    385, Loss  1.451361, Average Loss  1.448533, Time  0.444635
2021-09-24 05:10:30.592303 : Epoch  3, Batch    431, Loss  1.449316, Average Loss  1.449148, Time  0.440493
2021-09-24 05:10:34.399949 : Epoch  3, Batch    386, Loss  1.451398, Average Loss  1.448567, Time  0.454239
2021-09-24 05:10:36.525781 : Epoch  3, Batch    432, Loss  1.449969, Average Loss  1.449142, Time  0.441131
2021-09-24 05:10:40.324644 : Epoch  3, Batch    387, Loss  1.459784, Average Loss  1.448614, Time  0.442657
2021-09-24 05:10:42.446759 : Epoch  3, Batch    433, Loss  1.453725, Average Loss  1.449115, Time  0.439886
2021-09-24 05:10:46.252466 : Epoch  3, Batch    388, Loss  1.442726, Average Loss  1.448601, Time  0.443585
2021-09-24 05:10:48.399804 : Epoch  3, Batch    434, Loss  1.446792, Average Loss  1.449109, Time  0.453174
2021-09-24 05:10:52.194001 : Epoch  3, Batch    389, Loss  1.434844, Average Loss  1.448529, Time  0.446698
2021-09-24 05:10:54.344139 : Epoch  3, Batch    435, Loss  1.447963, Average Loss  1.449162, Time  0.440314
2021-09-24 05:10:58.140402 : Epoch  3, Batch    390, Loss  1.456128, Average Loss  1.448546, Time  0.444809
2021-09-24 05:11:00.289642 : Epoch  3, Batch    436, Loss  1.441848, Average Loss  1.449093, Time  0.443065
2021-09-24 05:11:04.117606 : Epoch  3, Batch    391, Loss  1.455488, Average Loss  1.448539, Time  0.447081
2021-09-24 05:11:06.224663 : Epoch  3, Batch    437, Loss  1.448812, Average Loss  1.449114, Time  0.438770
2021-09-24 05:11:10.058491 : Epoch  3, Batch    392, Loss  1.457480, Average Loss  1.448518, Time  0.445627
2021-09-24 05:11:12.164800 : Epoch  3, Batch    438, Loss  1.447995, Average Loss  1.449105, Time  0.439775
2021-09-24 05:11:16.006471 : Epoch  3, Batch    393, Loss  1.449036, Average Loss  1.448502, Time  0.448704
2021-09-24 05:11:18.114816 : Epoch  3, Batch    439, Loss  1.443451, Average Loss  1.449079, Time  0.442600
2021-09-24 05:11:21.993716 : Epoch  3, Batch    394, Loss  1.453836, Average Loss  1.448546, Time  0.458776
2021-09-24 05:11:24.072025 : Epoch  3, Batch    440, Loss  1.444643, Average Loss  1.449026, Time  0.443201
2021-09-24 05:11:27.962439 : Epoch  3, Batch    395, Loss  1.442402, Average Loss  1.448477, Time  0.445842
2021-09-24 05:11:30.041116 : Epoch  3, Batch    441, Loss  1.440077, Average Loss  1.449002, Time  0.441517
2021-09-24 05:11:33.901709 : Epoch  3, Batch    396, Loss  1.451219, Average Loss  1.448439, Time  0.443862
2021-09-24 05:11:35.988791 : Epoch  3, Batch    442, Loss  1.443030, Average Loss  1.449003, Time  0.447953
2021-09-24 05:11:39.869179 : Epoch  3, Batch    397, Loss  1.442550, Average Loss  1.448463, Time  0.451270
2021-09-24 05:11:41.937711 : Epoch  3, Batch    443, Loss  1.447536, Average Loss  1.448990, Time  0.439272
2021-09-24 05:11:45.831114 : Epoch  3, Batch    398, Loss  1.459603, Average Loss  1.448486, Time  0.444685
2021-09-24 05:11:47.893639 : Epoch  3, Batch    444, Loss  1.457385, Average Loss  1.449028, Time  0.438870
2021-09-24 05:11:51.812379 : Epoch  3, Batch    399, Loss  1.461903, Average Loss  1.448484, Time  0.446728
2021-09-24 05:11:57.749412 : Epoch  3, Batch    400, Loss  1.446086, Average Loss  1.448445, Time  0.443498
2021-09-24 05:12:03.689829 : Epoch  3, Batch    401, Loss  1.448595, Average Loss  1.448413, Time  0.443824
2021-09-24 05:12:09.651219 : Epoch  3, Batch    402, Loss  1.447997, Average Loss  1.448417, Time  0.452858
2021-09-24 05:12:15.612638 : Epoch  3, Batch    403, Loss  1.453050, Average Loss  1.448469, Time  0.443473
2021-09-24 05:12:21.588943 : Epoch  3, Batch    404, Loss  1.438345, Average Loss  1.448414, Time  0.452125
2021-09-24 05:12:27.531193 : Epoch  3, Batch    405, Loss  1.453411, Average Loss  1.448474, Time  0.448320
2021-09-24 05:12:33.477579 : Epoch  3, Batch    406, Loss  1.454301, Average Loss  1.448471, Time  0.443294
2021-09-24 05:12:39.417413 : Epoch  3, Batch    407, Loss  1.445705, Average Loss  1.448427, Time  0.444552
2021-09-24 05:12:45.372376 : Epoch  3, Batch    408, Loss  1.440360, Average Loss  1.448393, Time  0.448311
2021-09-24 05:12:51.335888 : Epoch  3, Batch    409, Loss  1.461143, Average Loss  1.448435, Time  0.459704
2021-09-24 05:12:57.285613 : Epoch  3, Batch    410, Loss  1.429940, Average Loss  1.448296, Time  0.445200
2021-09-24 05:13:03.249814 : Epoch  3, Batch    411, Loss  1.434022, Average Loss  1.448191, Time  0.446554
2021-09-24 05:13:09.200967 : Epoch  3, Batch    412, Loss  1.455400, Average Loss  1.448209, Time  0.447267
2021-09-24 05:13:15.151222 : Epoch  3, Batch    413, Loss  1.442860, Average Loss  1.448143, Time  0.453366
2021-09-24 05:13:21.112778 : Epoch  3, Batch    414, Loss  1.447352, Average Loss  1.448171, Time  0.452216
2021-09-24 05:13:27.083735 : Epoch  3, Batch    415, Loss  1.448796, Average Loss  1.448103, Time  0.448196
2021-09-24 05:13:33.032292 : Epoch  3, Batch    416, Loss  1.444784, Average Loss  1.448051, Time  0.443861
2021-09-24 05:13:38.995189 : Epoch  3, Batch    417, Loss  1.456070, Average Loss  1.448109, Time  0.460042
2021-09-24 05:13:44.951344 : Epoch  3, Batch    418, Loss  1.447339, Average Loss  1.448102, Time  0.447113
2021-09-24 05:13:50.886938 : Epoch  3, Batch    419, Loss  1.450557, Average Loss  1.448121, Time  0.444266
2021-09-24 05:13:56.853889 : Epoch  3, Batch    420, Loss  1.448708, Average Loss  1.448122, Time  0.446567
2021-09-24 05:14:02.803716 : Epoch  3, Batch    421, Loss  1.445213, Average Loss  1.448161, Time  0.446877
2021-09-24 05:14:08.743867 : Epoch  3, Batch    422, Loss  1.466400, Average Loss  1.448295, Time  0.444201
2021-09-24 05:14:14.678726 : Epoch  3, Batch    423, Loss  1.448066, Average Loss  1.448243, Time  0.444798
2021-09-24 05:14:20.612899 : Epoch  3, Batch    424, Loss  1.451396, Average Loss  1.448292, Time  0.442871
2021-09-24 05:14:26.565769 : Epoch  3, Batch    425, Loss  1.450883, Average Loss  1.448296, Time  0.460053
2021-09-24 05:14:32.517668 : Epoch  3, Batch    426, Loss  1.457167, Average Loss  1.448345, Time  0.447702
2021-09-24 05:14:38.468771 : Epoch  3, Batch    427, Loss  1.444206, Average Loss  1.448317, Time  0.446508
2021-09-24 05:14:44.433349 : Epoch  3, Batch    428, Loss  1.447815, Average Loss  1.448313, Time  0.448139
2021-09-24 05:14:50.379901 : Epoch  3, Batch    429, Loss  1.448777, Average Loss  1.448398, Time  0.444013
2021-09-24 05:14:56.335034 : Epoch  3, Batch    430, Loss  1.455232, Average Loss  1.448418, Time  0.443834
2021-09-24 05:15:02.283755 : Epoch  3, Batch    431, Loss  1.445831, Average Loss  1.448443, Time  0.445152
2021-09-24 05:15:08.291840 : Epoch  3, Batch    432, Loss  1.465700, Average Loss  1.448580, Time  0.453611
2021-09-24 05:15:14.235673 : Epoch  3, Batch    433, Loss  1.453905, Average Loss  1.448539, Time  0.445809
2021-09-24 05:15:20.183462 : Epoch  3, Batch    434, Loss  1.458557, Average Loss  1.448538, Time  0.444256
2021-09-24 05:15:26.114813 : Epoch  3, Batch    435, Loss  1.456075, Average Loss  1.448585, Time  0.444224
2021-09-24 05:15:32.046703 : Epoch  3, Batch    436, Loss  1.461447, Average Loss  1.448676, Time  0.443731
2021-09-24 05:15:37.996824 : Epoch  3, Batch    437, Loss  1.461968, Average Loss  1.448810, Time  0.447746
2021-09-24 05:15:43.942120 : Epoch  3, Batch    438, Loss  1.448522, Average Loss  1.448871, Time  0.443525
2021-09-24 05:15:49.891947 : Epoch  3, Batch    439, Loss  1.454718, Average Loss  1.448925, Time  0.449620
2021-09-24 05:15:55.866053 : Epoch  3, Batch    440, Loss  1.455320, Average Loss  1.448936, Time  0.459339
2021-09-24 05:16:01.815372 : Epoch  3, Batch    441, Loss  1.440017, Average Loss  1.448912, Time  0.449716
2021-09-24 05:16:07.771612 : Epoch  3, Batch    442, Loss  1.440615, Average Loss  1.448872, Time  0.444501
2021-09-24 05:16:13.729382 : Epoch  3, Batch    443, Loss  1.454614, Average Loss  1.448955, Time  0.444267
2021-09-24 05:16:19.675566 : Epoch  3, Batch    444, Loss  1.452785, Average Loss  1.448990, Time  0.443319
2021-09-24 05:16:25.871760 : CheckPoint: Validation Loss  0.00024726, Best Loss  0.00024726
2021-09-24 05:16:25.920022 : Best Model Updated
2021-09-24 05:16:32.653411 : Epoch  3, Batch    445, Loss  1.457882, Average Loss  1.449052, Time  0.438407
2021-09-24 05:16:38.570799 : Epoch  3, Batch    446, Loss  1.471742, Average Loss  1.449128, Time  0.438409
2021-09-24 05:16:44.484691 : Epoch  3, Batch    447, Loss  1.456742, Average Loss  1.449141, Time  0.438600
2021-09-24 05:16:50.409605 : Epoch  3, Batch    448, Loss  1.442221, Average Loss  1.449151, Time  0.438358
2021-09-24 05:16:56.371638 : Epoch  3, Batch    449, Loss  1.464327, Average Loss  1.449153, Time  0.452816
2021-09-24 05:17:02.302767 : Epoch  3, Batch    450, Loss  1.440137, Average Loss  1.449162, Time  0.442412
2021-09-24 05:17:08.234534 : Epoch  3, Batch    451, Loss  1.447018, Average Loss  1.449181, Time  0.441131
2021-09-24 05:17:14.160799 : Epoch  3, Batch    452, Loss  1.453524, Average Loss  1.449208, Time  0.439170
2021-09-24 05:17:20.083941 : Epoch  3, Batch    453, Loss  1.443676, Average Loss  1.449177, Time  0.438694
2021-09-24 05:17:26.020230 : Epoch  3, Batch    454, Loss  1.452258, Average Loss  1.449260, Time  0.439370
2021-09-24 05:17:31.953705 : Epoch  3, Batch    455, Loss  1.443467, Average Loss  1.449273, Time  0.441377
2021-09-24 05:17:37.895445 : Epoch  3, Batch    456, Loss  1.436741, Average Loss  1.449156, Time  0.438857
2021-09-24 05:17:43.843831 : Epoch  3, Batch    457, Loss  1.443777, Average Loss  1.449082, Time  0.446640
2021-09-24 05:17:49.808893 : Epoch  3, Batch    458, Loss  1.459522, Average Loss  1.449121, Time  0.445586
2021-09-24 05:17:55.742386 : Epoch  3, Batch    459, Loss  1.445060, Average Loss  1.449063, Time  0.439030
2021-09-24 05:18:01.678806 : Epoch  3, Batch    460, Loss  1.451652, Average Loss  1.449027, Time  0.441911
2021-09-24 05:18:07.615375 : Epoch  3, Batch    461, Loss  1.450496, Average Loss  1.449051, Time  0.440318
2021-09-24 05:18:13.541691 : Epoch  3, Batch    462, Loss  1.453052, Average Loss  1.449085, Time  0.440631
2021-09-24 05:18:19.479522 : Epoch  3, Batch    463, Loss  1.459354, Average Loss  1.449075, Time  0.440074
2021-09-24 05:18:25.423688 : Epoch  3, Batch    464, Loss  1.443701, Average Loss  1.449052, Time  0.438878
2021-09-24 05:18:31.371765 : Epoch  3, Batch    465, Loss  1.454078, Average Loss  1.449084, Time  0.452407
2021-09-24 05:18:37.301283 : Epoch  3, Batch    466, Loss  1.434501, Average Loss  1.449029, Time  0.438638
2021-09-24 05:18:43.232527 : Epoch  3, Batch    467, Loss  1.449158, Average Loss  1.448990, Time  0.441124
2021-09-24 05:18:49.154792 : Epoch  3, Batch    468, Loss  1.448035, Average Loss  1.449019, Time  0.438577
2021-09-24 05:18:55.075526 : Epoch  3, Batch    469, Loss  1.456403, Average Loss  1.449038, Time  0.439714
2021-09-24 05:19:01.009645 : Epoch  3, Batch    470, Loss  1.443315, Average Loss  1.448978, Time  0.439524
2021-09-24 05:19:06.952122 : Epoch  3, Batch    471, Loss  1.441568, Average Loss  1.449013, Time  0.439309
2021-09-24 05:19:12.889464 : Epoch  3, Batch    472, Loss  1.450491, Average Loss  1.449079, Time  0.442339
2021-09-24 05:19:18.852294 : Epoch  3, Batch    473, Loss  1.451333, Average Loss  1.449129, Time  0.465295
2021-09-24 05:19:24.780235 : Epoch  3, Batch    474, Loss  1.454830, Average Loss  1.449146, Time  0.441076
2021-09-24 05:19:30.712803 : Epoch  3, Batch    475, Loss  1.458079, Average Loss  1.449282, Time  0.440319
2021-09-24 05:19:36.645019 : Epoch  3, Batch    476, Loss  1.448955, Average Loss  1.449285, Time  0.440328
2021-09-24 05:19:42.576729 : Epoch  3, Batch    477, Loss  1.453673, Average Loss  1.449258, Time  0.441221
2021-09-24 05:19:48.511788 : Epoch  3, Batch    478, Loss  1.453834, Average Loss  1.449306, Time  0.439055
2021-09-24 05:19:54.460103 : Epoch  3, Batch    479, Loss  1.437026, Average Loss  1.449283, Time  0.439262
2021-09-24 05:20:00.387358 : Epoch  3, Batch    480, Loss  1.449769, Average Loss  1.449254, Time  0.439625
2021-09-24 05:20:06.330548 : Epoch  3, Batch    481, Loss  1.438698, Average Loss  1.449308, Time  0.451108
2021-09-24 05:20:12.271999 : Epoch  3, Batch    482, Loss  1.443709, Average Loss  1.449216, Time  0.439761
2021-09-24 05:20:18.207268 : Epoch  3, Batch    483, Loss  1.451813, Average Loss  1.449249, Time  0.439368
2021-09-24 05:20:24.139223 : Epoch  3, Batch    484, Loss  1.452996, Average Loss  1.449191, Time  0.440439
2021-09-24 05:20:30.081374 : Epoch  3, Batch    485, Loss  1.456802, Average Loss  1.449189, Time  0.439250
2021-09-24 05:20:35.999774 : Epoch  3, Batch    486, Loss  1.456038, Average Loss  1.449162, Time  0.437884
2021-09-24 05:20:41.932852 : Epoch  3, Batch    487, Loss  1.456581, Average Loss  1.449257, Time  0.442998
2021-09-24 05:20:47.850772 : Epoch  3, Batch    488, Loss  1.443703, Average Loss  1.449217, Time  0.439683
2021-09-24 05:20:53.791436 : Epoch  3, Batch    489, Loss  1.448739, Average Loss  1.449181, Time  0.453194
2021-09-24 05:20:57.990493 : CheckPoint: Validation Loss  0.00024820, Best Loss  0.00024587
2021-09-24 05:20:59.706463 : Epoch  3, Batch    490, Loss  1.444449, Average Loss  1.449188, Time  0.440984
2021-09-24 05:21:03.931981 : Epoch  3, Batch    445, Loss  1.456208, Average Loss  1.449057, Time  0.445221
2021-09-24 05:21:05.637558 : Epoch  3, Batch    491, Loss  1.444139, Average Loss  1.449197, Time  0.438184
2021-09-24 05:21:09.869428 : Epoch  3, Batch    446, Loss  1.444042, Average Loss  1.449011, Time  0.443466
2021-09-24 05:21:11.571628 : Epoch  3, Batch    492, Loss  1.454888, Average Loss  1.449247, Time  0.439904
2021-09-24 05:21:15.842812 : Epoch  3, Batch    447, Loss  1.443669, Average Loss  1.448925, Time  0.452466
2021-09-24 05:21:17.498930 : Epoch  3, Batch    493, Loss  1.450087, Average Loss  1.449204, Time  0.441890
2021-09-24 05:21:21.776214 : Epoch  3, Batch    448, Loss  1.450625, Average Loss  1.448965, Time  0.444109
2021-09-24 05:21:23.422600 : Epoch  3, Batch    494, Loss  1.456166, Average Loss  1.449262, Time  0.439998
2021-09-24 05:21:27.729054 : Epoch  3, Batch    449, Loss  1.434243, Average Loss  1.448898, Time  0.444749
2021-09-24 05:21:29.370905 : Epoch  3, Batch    495, Loss  1.441627, Average Loss  1.449234, Time  0.438587
2021-09-24 05:21:33.684502 : Epoch  3, Batch    450, Loss  1.444044, Average Loss  1.448852, Time  0.448326
2021-09-24 05:21:35.300755 : Epoch  3, Batch    496, Loss  1.455562, Average Loss  1.449252, Time  0.439184
2021-09-24 05:21:39.660801 : Epoch  3, Batch    451, Loss  1.453054, Average Loss  1.448880, Time  0.444431
2021-09-24 05:21:41.247831 : Epoch  3, Batch    497, Loss  1.442565, Average Loss  1.449202, Time  0.452831
2021-09-24 05:21:45.601909 : Epoch  3, Batch    452, Loss  1.459495, Average Loss  1.448932, Time  0.443277
2021-09-24 05:21:47.173103 : Epoch  3, Batch    498, Loss  1.465708, Average Loss  1.449303, Time  0.439866
2021-09-24 05:21:51.560401 : Epoch  3, Batch    453, Loss  1.439027, Average Loss  1.448889, Time  0.444862
2021-09-24 05:21:53.121053 : Epoch  3, Batch    499, Loss  1.460439, Average Loss  1.449390, Time  0.441640
2021-09-24 05:21:57.515072 : Epoch  3, Batch    454, Loss  1.439535, Average Loss  1.448808, Time  0.443960
2021-09-24 05:21:59.068008 : Epoch  3, Batch    500, Loss  1.434205, Average Loss  1.449262, Time  0.445688
2021-09-24 05:22:03.479793 : Epoch  3, Batch    455, Loss  1.455389, Average Loss  1.448831, Time  0.460094
2021-09-24 05:22:05.001202 : Epoch  3, Batch    501, Loss  1.460298, Average Loss  1.449382, Time  0.440638
2021-09-24 05:22:09.414767 : Epoch  3, Batch    456, Loss  1.447661, Average Loss  1.448820, Time  0.443696
2021-09-24 05:22:10.948769 : Epoch  3, Batch    502, Loss  1.450225, Average Loss  1.449415, Time  0.443353
2021-09-24 05:22:15.344652 : Epoch  3, Batch    457, Loss  1.440061, Average Loss  1.448748, Time  0.444678
2021-09-24 05:22:16.905513 : Epoch  3, Batch    503, Loss  1.448001, Average Loss  1.449378, Time  0.439096
2021-09-24 05:22:21.288748 : Epoch  3, Batch    458, Loss  1.453151, Average Loss  1.448825, Time  0.446658
2021-09-24 05:22:22.831630 : Epoch  3, Batch    504, Loss  1.446426, Average Loss  1.449332, Time  0.453110
2021-09-24 05:22:27.215317 : Epoch  3, Batch    459, Loss  1.431886, Average Loss  1.448740, Time  0.443521
2021-09-24 05:22:28.766591 : Epoch  3, Batch    505, Loss  1.452240, Average Loss  1.449341, Time  0.439040
2021-09-24 05:22:33.146493 : Epoch  3, Batch    460, Loss  1.436751, Average Loss  1.448716, Time  0.443210
2021-09-24 05:22:34.701529 : Epoch  3, Batch    506, Loss  1.446378, Average Loss  1.449326, Time  0.439665
2021-09-24 05:22:39.089420 : Epoch  3, Batch    461, Loss  1.458603, Average Loss  1.448810, Time  0.445025
2021-09-24 05:22:40.631453 : Epoch  3, Batch    507, Loss  1.439931, Average Loss  1.449261, Time  0.438422
2021-09-24 05:22:45.026872 : Epoch  3, Batch    462, Loss  1.453111, Average Loss  1.448806, Time  0.442893
2021-09-24 05:22:46.563756 : Epoch  3, Batch    508, Loss  1.444421, Average Loss  1.449156, Time  0.440781
2021-09-24 05:22:50.986727 : Epoch  3, Batch    463, Loss  1.450461, Average Loss  1.448816, Time  0.457060
2021-09-24 05:22:52.490706 : Epoch  3, Batch    509, Loss  1.451089, Average Loss  1.449170, Time  0.439258
2021-09-24 05:22:56.944824 : Epoch  3, Batch    464, Loss  1.451789, Average Loss  1.448800, Time  0.445567
2021-09-24 05:22:58.423792 : Epoch  3, Batch    510, Loss  1.448604, Average Loss  1.449182, Time  0.440599
2021-09-24 05:23:02.889473 : Epoch  3, Batch    465, Loss  1.446243, Average Loss  1.448829, Time  0.445267
2021-09-24 05:23:04.358997 : Epoch  3, Batch    511, Loss  1.452073, Average Loss  1.449171, Time  0.441579
2021-09-24 05:23:08.838607 : Epoch  3, Batch    466, Loss  1.458463, Average Loss  1.448841, Time  0.443575
2021-09-24 05:23:10.313831 : Epoch  3, Batch    512, Loss  1.446252, Average Loss  1.449134, Time  0.453248
2021-09-24 05:23:14.782272 : Epoch  3, Batch    467, Loss  1.454822, Average Loss  1.448856, Time  0.444618
2021-09-24 05:23:16.235087 : Epoch  3, Batch    513, Loss  1.442665, Average Loss  1.449086, Time  0.438900
2021-09-24 05:23:20.717457 : Epoch  3, Batch    468, Loss  1.448016, Average Loss  1.448863, Time  0.445040
2021-09-24 05:23:22.167223 : Epoch  3, Batch    514, Loss  1.440290, Average Loss  1.449022, Time  0.439425
2021-09-24 05:23:26.644387 : Epoch  3, Batch    469, Loss  1.438334, Average Loss  1.448802, Time  0.443575
2021-09-24 05:23:28.098889 : Epoch  3, Batch    515, Loss  1.456722, Average Loss  1.449049, Time  0.445179
2021-09-24 05:23:32.582542 : Epoch  3, Batch    470, Loss  1.437010, Average Loss  1.448698, Time  0.445349
2021-09-24 05:23:34.024800 : Epoch  3, Batch    516, Loss  1.450763, Average Loss  1.448991, Time  0.439772
2021-09-24 05:23:38.523180 : Epoch  3, Batch    471, Loss  1.441826, Average Loss  1.448671, Time  0.452808
2021-09-24 05:23:39.961522 : Epoch  3, Batch    517, Loss  1.442312, Average Loss  1.448947, Time  0.439853
2021-09-24 05:23:44.473253 : Epoch  3, Batch    472, Loss  1.459209, Average Loss  1.448694, Time  0.447116
2021-09-24 05:23:45.889776 : Epoch  3, Batch    518, Loss  1.444880, Average Loss  1.448902, Time  0.440548
2021-09-24 05:23:50.429767 : Epoch  3, Batch    473, Loss  1.455787, Average Loss  1.448716, Time  0.449242
2021-09-24 05:23:51.816920 : Epoch  3, Batch    519, Loss  1.438270, Average Loss  1.448908, Time  0.441067
2021-09-24 05:23:56.383503 : Epoch  3, Batch    474, Loss  1.430524, Average Loss  1.448591, Time  0.445763
2021-09-24 05:23:57.756848 : Epoch  3, Batch    520, Loss  1.461331, Average Loss  1.448966, Time  0.458043
2021-09-24 05:24:02.338367 : Epoch  3, Batch    475, Loss  1.447145, Average Loss  1.448563, Time  0.447376
2021-09-24 05:24:03.702052 : Epoch  3, Batch    521, Loss  1.437511, Average Loss  1.448924, Time  0.439440
2021-09-24 05:24:08.272332 : Epoch  3, Batch    476, Loss  1.458969, Average Loss  1.448653, Time  0.445079
2021-09-24 05:24:09.624422 : Epoch  3, Batch    522, Loss  1.430377, Average Loss  1.448790, Time  0.442500
2021-09-24 05:24:14.229047 : Epoch  3, Batch    477, Loss  1.449149, Average Loss  1.448682, Time  0.443908
2021-09-24 05:24:15.563736 : Epoch  3, Batch    523, Loss  1.447456, Average Loss  1.448803, Time  0.439487
2021-09-24 05:24:20.189893 : Epoch  3, Batch    478, Loss  1.451839, Average Loss  1.448782, Time  0.461003
2021-09-24 05:24:21.491590 : Epoch  3, Batch    524, Loss  1.460162, Average Loss  1.448862, Time  0.438330
2021-09-24 05:24:26.138018 : Epoch  3, Batch    479, Loss  1.469240, Average Loss  1.448909, Time  0.443823
2021-09-24 05:24:27.402169 : Epoch  3, Batch    525, Loss  1.450232, Average Loss  1.448847, Time  0.438491
2021-09-24 05:24:32.087355 : Epoch  3, Batch    480, Loss  1.458239, Average Loss  1.448970, Time  0.443084
2021-09-24 05:24:33.320187 : Epoch  3, Batch    526, Loss  1.443357, Average Loss  1.448859, Time  0.439423
2021-09-24 05:24:38.021907 : Epoch  3, Batch    481, Loss  1.456530, Average Loss  1.448989, Time  0.444097
2021-09-24 05:24:39.263216 : Epoch  3, Batch    527, Loss  1.458551, Average Loss  1.448879, Time  0.438204
2021-09-24 05:24:43.964303 : Epoch  3, Batch    482, Loss  1.453957, Average Loss  1.449007, Time  0.444929
2021-09-24 05:24:45.190381 : Epoch  3, Batch    528, Loss  1.458326, Average Loss  1.448958, Time  0.454829
2021-09-24 05:24:49.910393 : Epoch  3, Batch    483, Loss  1.456722, Average Loss  1.449100, Time  0.444326
2021-09-24 05:24:51.114876 : Epoch  3, Batch    529, Loss  1.446348, Average Loss  1.448888, Time  0.438734
2021-09-24 05:24:55.844166 : Epoch  3, Batch    484, Loss  1.456275, Average Loss  1.449208, Time  0.445986
2021-09-24 05:24:57.038837 : Epoch  3, Batch    530, Loss  1.453000, Average Loss  1.448893, Time  0.439732
2021-09-24 05:25:01.800058 : Epoch  3, Batch    485, Loss  1.447924, Average Loss  1.449175, Time  0.445686
2021-09-24 05:25:02.974737 : Epoch  3, Batch    531, Loss  1.442067, Average Loss  1.448842, Time  0.442422
2021-09-24 05:25:07.746632 : Epoch  3, Batch    486, Loss  1.440386, Average Loss  1.449147, Time  0.455797
2021-09-24 05:25:08.891448 : Epoch  3, Batch    532, Loss  1.445445, Average Loss  1.448784, Time  0.440531
2021-09-24 05:25:13.685414 : Epoch  3, Batch    487, Loss  1.448440, Average Loss  1.449181, Time  0.447048
2021-09-24 05:25:14.822826 : Epoch  3, Batch    533, Loss  1.451805, Average Loss  1.448766, Time  0.442054
2021-09-24 05:25:19.640753 : Epoch  3, Batch    488, Loss  1.452133, Average Loss  1.449183, Time  0.450982
2021-09-24 05:25:20.770831 : Epoch  3, Batch    534, Loss  1.448337, Average Loss  1.448752, Time  0.448717
2021-09-24 05:25:25.596251 : Epoch  3, Batch    489, Loss  1.449212, Average Loss  1.449207, Time  0.451013
2021-09-24 05:25:26.715395 : Epoch  3, Batch    535, Loss  1.454542, Average Loss  1.448818, Time  0.450497
2021-09-24 05:25:31.542499 : Epoch  3, Batch    490, Loss  1.456090, Average Loss  1.449222, Time  0.446668
2021-09-24 05:25:32.659957 : Epoch  3, Batch    536, Loss  1.452688, Average Loss  1.448799, Time  0.442650
2021-09-24 05:25:37.492263 : Epoch  3, Batch    491, Loss  1.451371, Average Loss  1.449213, Time  0.445401
2021-09-24 05:25:38.602721 : Epoch  3, Batch    537, Loss  1.442657, Average Loss  1.448744, Time  0.438852
2021-09-24 05:25:43.443336 : Epoch  3, Batch    492, Loss  1.447672, Average Loss  1.449188, Time  0.443086
2021-09-24 05:25:44.542138 : Epoch  3, Batch    538, Loss  1.444293, Average Loss  1.448792, Time  0.439361
2021-09-24 05:25:49.401503 : Epoch  3, Batch    493, Loss  1.434533, Average Loss  1.449120, Time  0.444380
2021-09-24 05:25:50.462307 : Epoch  3, Batch    539, Loss  1.453729, Average Loss  1.448741, Time  0.438736
2021-09-24 05:25:55.355790 : Epoch  3, Batch    494, Loss  1.436574, Average Loss  1.449030, Time  0.456349
2021-09-24 05:25:56.404728 : Epoch  3, Batch    540, Loss  1.452131, Average Loss  1.448764, Time  0.441422
2021-09-24 05:26:01.320597 : Epoch  3, Batch    495, Loss  1.453040, Average Loss  1.449018, Time  0.446193
2021-09-24 05:26:02.353013 : Epoch  3, Batch    541, Loss  1.441051, Average Loss  1.448713, Time  0.440274
2021-09-24 05:26:07.274773 : Epoch  3, Batch    496, Loss  1.443766, Average Loss  1.448961, Time  0.443471
2021-09-24 05:26:08.301707 : Epoch  3, Batch    542, Loss  1.435851, Average Loss  1.448635, Time  0.439560
2021-09-24 05:26:13.227758 : Epoch  3, Batch    497, Loss  1.444661, Average Loss  1.448945, Time  0.444062
2021-09-24 05:26:14.244612 : Epoch  3, Batch    543, Loss  1.446949, Average Loss  1.448605, Time  0.451116
2021-09-24 05:26:19.170974 : Epoch  3, Batch    498, Loss  1.453546, Average Loss  1.448927, Time  0.445945
2021-09-24 05:26:20.175647 : Epoch  3, Batch    544, Loss  1.456275, Average Loss  1.448647, Time  0.442491
2021-09-24 05:26:25.129534 : Epoch  3, Batch    499, Loss  1.453960, Average Loss  1.449006, Time  0.445098
2021-09-24 05:26:31.085039 : Epoch  3, Batch    500, Loss  1.446237, Average Loss  1.448996, Time  0.443367
2021-09-24 05:26:37.031608 : Epoch  3, Batch    501, Loss  1.445288, Average Loss  1.448936, Time  0.449586
2021-09-24 05:26:42.984860 : Epoch  3, Batch    502, Loss  1.448431, Average Loss  1.448966, Time  0.451139
2021-09-24 05:26:48.945470 : Epoch  3, Batch    503, Loss  1.438352, Average Loss  1.448922, Time  0.448683
2021-09-24 05:26:54.885381 : Epoch  3, Batch    504, Loss  1.459377, Average Loss  1.448913, Time  0.447390
2021-09-24 05:27:00.851784 : Epoch  3, Batch    505, Loss  1.456744, Average Loss  1.449016, Time  0.447498
2021-09-24 05:27:06.797846 : Epoch  3, Batch    506, Loss  1.458973, Average Loss  1.449061, Time  0.443241
2021-09-24 05:27:12.739842 : Epoch  3, Batch    507, Loss  1.447856, Average Loss  1.449045, Time  0.444034
2021-09-24 05:27:18.679921 : Epoch  3, Batch    508, Loss  1.456610, Average Loss  1.449059, Time  0.443704
2021-09-24 05:27:24.633091 : Epoch  3, Batch    509, Loss  1.452048, Average Loss  1.449120, Time  0.453776
2021-09-24 05:27:30.587557 : Epoch  3, Batch    510, Loss  1.452543, Average Loss  1.449162, Time  0.451337
2021-09-24 05:27:36.537615 : Epoch  3, Batch    511, Loss  1.440468, Average Loss  1.449144, Time  0.448138
2021-09-24 05:27:42.481596 : Epoch  3, Batch    512, Loss  1.451024, Average Loss  1.449164, Time  0.445461
2021-09-24 05:27:48.433571 : Epoch  3, Batch    513, Loss  1.448626, Average Loss  1.449204, Time  0.443692
2021-09-24 05:27:54.396071 : Epoch  3, Batch    514, Loss  1.445784, Average Loss  1.449154, Time  0.444453
2021-09-24 05:28:00.354862 : Epoch  3, Batch    515, Loss  1.445396, Average Loss  1.449105, Time  0.447759
2021-09-24 05:28:06.295609 : Epoch  3, Batch    516, Loss  1.441553, Average Loss  1.449034, Time  0.447282
2021-09-24 05:28:12.246919 : Epoch  3, Batch    517, Loss  1.443288, Average Loss  1.448984, Time  0.454790
2021-09-24 05:28:18.189621 : Epoch  3, Batch    518, Loss  1.446646, Average Loss  1.448941, Time  0.451930
2021-09-24 05:28:24.111737 : Epoch  3, Batch    519, Loss  1.461546, Average Loss  1.449081, Time  0.447852
2021-09-24 05:28:30.056359 : Epoch  3, Batch    520, Loss  1.444903, Average Loss  1.449110, Time  0.446088
2021-09-24 05:28:35.993679 : Epoch  3, Batch    521, Loss  1.455039, Average Loss  1.449129, Time  0.444884
2021-09-24 05:28:41.953724 : Epoch  3, Batch    522, Loss  1.441893, Average Loss  1.449049, Time  0.452770
2021-09-24 05:28:47.907904 : Epoch  3, Batch    523, Loss  1.422729, Average Loss  1.448921, Time  0.451896
2021-09-24 05:28:53.853301 : Epoch  3, Batch    524, Loss  1.445504, Average Loss  1.448948, Time  0.445233
2021-09-24 05:28:59.802251 : Epoch  3, Batch    525, Loss  1.446784, Average Loss  1.448920, Time  0.461129
2021-09-24 05:29:05.747218 : Epoch  3, Batch    526, Loss  1.457112, Average Loss  1.448950, Time  0.443700
2021-09-24 05:29:11.700643 : Epoch  3, Batch    527, Loss  1.463258, Average Loss  1.448989, Time  0.448472
2021-09-24 05:29:17.650366 : Epoch  3, Batch    528, Loss  1.436115, Average Loss  1.448906, Time  0.447561
2021-09-24 05:29:23.593879 : Epoch  3, Batch    529, Loss  1.454062, Average Loss  1.448907, Time  0.447006
2021-09-24 05:29:29.559044 : Epoch  3, Batch    530, Loss  1.459610, Average Loss  1.448948, Time  0.445299
2021-09-24 05:29:35.514383 : Epoch  3, Batch    531, Loss  1.439862, Average Loss  1.448943, Time  0.447818
2021-09-24 05:29:41.475316 : Epoch  3, Batch    532, Loss  1.443849, Average Loss  1.448987, Time  0.445638
2021-09-24 05:29:47.450499 : Epoch  3, Batch    533, Loss  1.442897, Average Loss  1.449004, Time  0.461913
2021-09-24 05:29:53.398364 : Epoch  3, Batch    534, Loss  1.448683, Average Loss  1.448987, Time  0.444389
2021-09-24 05:29:59.360225 : Epoch  3, Batch    535, Loss  1.447074, Average Loss  1.448951, Time  0.445301
2021-09-24 05:30:05.327191 : Epoch  3, Batch    536, Loss  1.436264, Average Loss  1.448883, Time  0.447691
2021-09-24 05:30:11.281001 : Epoch  3, Batch    537, Loss  1.452573, Average Loss  1.448908, Time  0.451002
2021-09-24 05:30:17.239299 : Epoch  3, Batch    538, Loss  1.452576, Average Loss  1.448992, Time  0.445982
2021-09-24 05:30:23.205906 : Epoch  3, Batch    539, Loss  1.457059, Average Loss  1.449075, Time  0.446710
2021-09-24 05:30:29.162485 : Epoch  3, Batch    540, Loss  1.449172, Average Loss  1.449133, Time  0.451688
2021-09-24 05:30:35.100789 : Epoch  3, Batch    541, Loss  1.456620, Average Loss  1.449140, Time  0.443475
2021-09-24 05:30:41.069152 : Epoch  3, Batch    542, Loss  1.452778, Average Loss  1.449176, Time  0.452016
2021-09-24 05:30:47.003609 : Epoch  3, Batch    543, Loss  1.439311, Average Loss  1.449091, Time  0.445906
2021-09-24 05:30:52.966970 : Epoch  3, Batch    544, Loss  1.446255, Average Loss  1.449126, Time  0.443850
2021-09-24 05:30:58.146754 : CheckPoint: Validation Loss  0.00025298, Best Loss  0.00024726
2021-09-24 05:31:04.089768 : Epoch  3, Batch    545, Loss  1.446575, Average Loss  1.448614, Time  0.439270
2021-09-24 05:31:10.015766 : Epoch  3, Batch    546, Loss  1.448809, Average Loss  1.448632, Time  0.438889
2021-09-24 05:31:15.946037 : Epoch  3, Batch    547, Loss  1.449970, Average Loss  1.448646, Time  0.439046
2021-09-24 05:31:21.879498 : Epoch  3, Batch    548, Loss  1.455830, Average Loss  1.448690, Time  0.438991
2021-09-24 05:31:27.802670 : Epoch  3, Batch    549, Loss  1.447153, Average Loss  1.448672, Time  0.439718
2021-09-24 05:31:33.738716 : Epoch  3, Batch    550, Loss  1.461832, Average Loss  1.448745, Time  0.453030
2021-09-24 05:31:39.673921 : Epoch  3, Batch    551, Loss  1.450666, Average Loss  1.448741, Time  0.440264
2021-09-24 05:31:45.604244 : Epoch  3, Batch    552, Loss  1.447256, Average Loss  1.448711, Time  0.438828
2021-09-24 05:31:51.530808 : Epoch  3, Batch    553, Loss  1.456820, Average Loss  1.448825, Time  0.439346
2021-09-24 05:31:57.444662 : Epoch  3, Batch    554, Loss  1.449797, Average Loss  1.448895, Time  0.442595
2021-09-24 05:32:03.371634 : Epoch  3, Batch    555, Loss  1.445899, Average Loss  1.448871, Time  0.439244
2021-09-24 05:32:09.299996 : Epoch  3, Batch    556, Loss  1.452588, Average Loss  1.448932, Time  0.440444
2021-09-24 05:32:15.224778 : Epoch  3, Batch    557, Loss  1.461017, Average Loss  1.448975, Time  0.440606
2021-09-24 05:32:21.178142 : Epoch  3, Batch    558, Loss  1.445855, Average Loss  1.448934, Time  0.455479
2021-09-24 05:32:27.110846 : Epoch  3, Batch    559, Loss  1.462266, Average Loss  1.449025, Time  0.439864
2021-09-24 05:32:33.046456 : Epoch  3, Batch    560, Loss  1.446063, Average Loss  1.449032, Time  0.440876
2021-09-24 05:32:38.969853 : Epoch  3, Batch    561, Loss  1.453393, Average Loss  1.449013, Time  0.438734
2021-09-24 05:32:44.895167 : Epoch  3, Batch    562, Loss  1.453425, Average Loss  1.448982, Time  0.440015
2021-09-24 05:32:50.815541 : Epoch  3, Batch    563, Loss  1.454845, Average Loss  1.449040, Time  0.438901
2021-09-24 05:32:56.750011 : Epoch  3, Batch    564, Loss  1.445966, Average Loss  1.448974, Time  0.439521
2021-09-24 05:33:02.682061 : Epoch  3, Batch    565, Loss  1.452214, Average Loss  1.448964, Time  0.440650
2021-09-24 05:33:08.615615 : Epoch  3, Batch    566, Loss  1.439673, Average Loss  1.448874, Time  0.456944
2021-09-24 05:33:14.546807 : Epoch  3, Batch    567, Loss  1.444772, Average Loss  1.448838, Time  0.443185
2021-09-24 05:33:20.503030 : Epoch  3, Batch    568, Loss  1.441455, Average Loss  1.448830, Time  0.444853
2021-09-24 05:33:26.436005 : Epoch  3, Batch    569, Loss  1.450369, Average Loss  1.448822, Time  0.441246
2021-09-24 05:33:32.359012 : Epoch  3, Batch    570, Loss  1.451612, Average Loss  1.448813, Time  0.438861
2021-09-24 05:33:38.280013 : Epoch  3, Batch    571, Loss  1.451890, Average Loss  1.448821, Time  0.441761
2021-09-24 05:33:44.215688 : Epoch  3, Batch    572, Loss  1.447944, Average Loss  1.448802, Time  0.439094
2021-09-24 05:33:50.147032 : Epoch  3, Batch    573, Loss  1.442204, Average Loss  1.448718, Time  0.440481
2021-09-24 05:33:56.088285 : Epoch  3, Batch    574, Loss  1.450593, Average Loss  1.448714, Time  0.451719
2021-09-24 05:34:02.018096 : Epoch  3, Batch    575, Loss  1.448510, Average Loss  1.448716, Time  0.440533
2021-09-24 05:34:07.973844 : Epoch  3, Batch    576, Loss  1.448838, Average Loss  1.448716, Time  0.446973
2021-09-24 05:34:13.901639 : Epoch  3, Batch    577, Loss  1.444035, Average Loss  1.448750, Time  0.439071
2021-09-24 05:34:19.848924 : Epoch  3, Batch    578, Loss  1.449535, Average Loss  1.448807, Time  0.439705
2021-09-24 05:34:25.779079 : Epoch  3, Batch    579, Loss  1.452283, Average Loss  1.448881, Time  0.440320
2021-09-24 05:34:31.711114 : Epoch  3, Batch    580, Loss  1.458814, Average Loss  1.448903, Time  0.441382
2021-09-24 05:34:37.634212 : Epoch  3, Batch    581, Loss  1.448100, Average Loss  1.448889, Time  0.445730
2021-09-24 05:34:43.576080 : Epoch  3, Batch    582, Loss  1.444017, Average Loss  1.448859, Time  0.438722
2021-09-24 05:34:49.506766 : Epoch  3, Batch    583, Loss  1.436044, Average Loss  1.448821, Time  0.441322
2021-09-24 05:34:55.438725 : Epoch  3, Batch    584, Loss  1.446705, Average Loss  1.448761, Time  0.441629
2021-09-24 05:35:01.367108 : Epoch  3, Batch    585, Loss  1.447698, Average Loss  1.448725, Time  0.439637
2021-09-24 05:35:07.297066 : Epoch  3, Batch    586, Loss  1.445334, Average Loss  1.448700, Time  0.441492
2021-09-24 05:35:13.225334 : Epoch  3, Batch    587, Loss  1.454932, Average Loss  1.448739, Time  0.440028
2021-09-24 05:35:19.135430 : Epoch  3, Batch    588, Loss  1.465917, Average Loss  1.448804, Time  0.441199
2021-09-24 05:35:25.071316 : Epoch  3, Batch    589, Loss  1.441804, Average Loss  1.448799, Time  0.449157
2021-09-24 05:35:31.002110 : Epoch  3, Batch    590, Loss  1.447515, Average Loss  1.448740, Time  0.443597
2021-09-24 05:35:31.569768 : CheckPoint: Validation Loss  0.00025035, Best Loss  0.00024587
2021-09-24 05:35:36.924835 : Epoch  3, Batch    591, Loss  1.466314, Average Loss  1.448839, Time  0.442048
2021-09-24 05:35:37.514075 : Epoch  3, Batch    545, Loss  1.461260, Average Loss  1.449206, Time  0.443920
2021-09-24 05:35:42.850079 : Epoch  3, Batch    592, Loss  1.455739, Average Loss  1.448969, Time  0.439320
2021-09-24 05:35:43.429093 : Epoch  3, Batch    546, Loss  1.435859, Average Loss  1.449191, Time  0.444757
2021-09-24 05:35:48.787227 : Epoch  3, Batch    593, Loss  1.453498, Average Loss  1.448980, Time  0.438457
2021-09-24 05:35:49.356465 : Epoch  3, Batch    547, Loss  1.443216, Average Loss  1.449113, Time  0.454154
2021-09-24 05:35:54.710033 : Epoch  3, Batch    594, Loss  1.450971, Average Loss  1.449015, Time  0.439650
2021-09-24 05:35:55.277047 : Epoch  3, Batch    548, Loss  1.437166, Average Loss  1.449082, Time  0.443986
2021-09-24 05:36:00.634931 : Epoch  3, Batch    595, Loss  1.458901, Average Loss  1.449103, Time  0.442666
2021-09-24 05:36:01.211295 : Epoch  3, Batch    549, Loss  1.438932, Average Loss  1.449059, Time  0.442958
2021-09-24 05:36:06.568446 : Epoch  3, Batch    596, Loss  1.437580, Average Loss  1.449071, Time  0.439451
2021-09-24 05:36:07.122742 : Epoch  3, Batch    550, Loss  1.437445, Average Loss  1.449021, Time  0.444811
2021-09-24 05:36:12.505713 : Epoch  3, Batch    597, Loss  1.457613, Average Loss  1.449117, Time  0.453375
2021-09-24 05:36:13.066749 : Epoch  3, Batch    551, Loss  1.437789, Average Loss  1.448916, Time  0.445123
2021-09-24 05:36:18.446571 : Epoch  3, Batch    598, Loss  1.449357, Average Loss  1.449161, Time  0.442788
2021-09-24 05:36:18.988073 : Epoch  3, Batch    552, Loss  1.438716, Average Loss  1.448897, Time  0.442990
2021-09-24 05:36:24.388859 : Epoch  3, Batch    599, Loss  1.455426, Average Loss  1.449233, Time  0.444076
2021-09-24 05:36:24.937832 : Epoch  3, Batch    553, Loss  1.446261, Average Loss  1.448953, Time  0.448878
2021-09-24 05:36:30.327673 : Epoch  3, Batch    600, Loss  1.452064, Average Loss  1.449284, Time  0.439337
2021-09-24 05:36:30.866858 : Epoch  3, Batch    554, Loss  1.440890, Average Loss  1.448900, Time  0.443902
2021-09-24 05:36:36.274130 : Epoch  3, Batch    601, Loss  1.455887, Average Loss  1.449311, Time  0.446012
2021-09-24 05:36:36.819278 : Epoch  3, Batch    555, Loss  1.443387, Average Loss  1.448920, Time  0.454358
2021-09-24 05:36:42.216486 : Epoch  3, Batch    602, Loss  1.442821, Average Loss  1.449270, Time  0.444192
2021-09-24 05:36:42.765078 : Epoch  3, Batch    556, Loss  1.442797, Average Loss  1.448797, Time  0.445625
2021-09-24 05:36:48.135179 : Epoch  3, Batch    603, Loss  1.458069, Average Loss  1.449342, Time  0.439193
2021-09-24 05:36:48.706123 : Epoch  3, Batch    557, Loss  1.448413, Average Loss  1.448841, Time  0.443227
2021-09-24 05:36:54.069781 : Epoch  3, Batch    604, Loss  1.456482, Average Loss  1.449381, Time  0.440551
2021-09-24 05:36:54.632996 : Epoch  3, Batch    558, Loss  1.461295, Average Loss  1.448849, Time  0.442963
2021-09-24 05:36:59.991805 : Epoch  3, Batch    605, Loss  1.436876, Average Loss  1.449375, Time  0.448772
2021-09-24 05:37:00.573879 : Epoch  3, Batch    559, Loss  1.456424, Average Loss  1.448887, Time  0.447927
2021-09-24 05:37:05.904099 : Epoch  3, Batch    606, Loss  1.452549, Average Loss  1.449408, Time  0.439335
2021-09-24 05:37:06.505821 : Epoch  3, Batch    560, Loss  1.455287, Average Loss  1.448881, Time  0.442673
2021-09-24 05:37:11.819685 : Epoch  3, Batch    607, Loss  1.449965, Average Loss  1.449359, Time  0.440944
2021-09-24 05:37:12.428687 : Epoch  3, Batch    561, Loss  1.457020, Average Loss  1.448875, Time  0.443021
2021-09-24 05:37:17.762421 : Epoch  3, Batch    608, Loss  1.456550, Average Loss  1.449432, Time  0.439967
2021-09-24 05:37:18.373108 : Epoch  3, Batch    562, Loss  1.451685, Average Loss  1.448848, Time  0.445412
2021-09-24 05:37:23.722292 : Epoch  3, Batch    609, Loss  1.448142, Average Loss  1.449462, Time  0.438232
2021-09-24 05:37:24.333283 : Epoch  3, Batch    563, Loss  1.459864, Average Loss  1.448931, Time  0.460129
2021-09-24 05:37:29.647717 : Epoch  3, Batch    610, Loss  1.445585, Average Loss  1.449441, Time  0.438433
2021-09-24 05:37:30.260390 : Epoch  3, Batch    564, Loss  1.454014, Average Loss  1.448913, Time  0.445876
2021-09-24 05:37:35.579645 : Epoch  3, Batch    611, Loss  1.449627, Average Loss  1.449386, Time  0.439508
2021-09-24 05:37:36.189392 : Epoch  3, Batch    565, Loss  1.445044, Average Loss  1.448914, Time  0.444203
2021-09-24 05:37:41.529900 : Epoch  3, Batch    612, Loss  1.452950, Average Loss  1.449370, Time  0.438938
2021-09-24 05:37:42.118210 : Epoch  3, Batch    566, Loss  1.441723, Average Loss  1.448894, Time  0.445773
2021-09-24 05:37:47.474173 : Epoch  3, Batch    613, Loss  1.442332, Average Loss  1.449398, Time  0.444968
2021-09-24 05:37:48.054713 : Epoch  3, Batch    567, Loss  1.450541, Average Loss  1.448866, Time  0.443763
2021-09-24 05:37:53.404325 : Epoch  3, Batch    614, Loss  1.451625, Average Loss  1.449436, Time  0.440007
2021-09-24 05:37:53.986455 : Epoch  3, Batch    568, Loss  1.459493, Average Loss  1.448907, Time  0.442779
2021-09-24 05:37:59.323049 : Epoch  3, Batch    615, Loss  1.438192, Average Loss  1.449420, Time  0.439130
2021-09-24 05:37:59.906098 : Epoch  3, Batch    569, Loss  1.446212, Average Loss  1.448969, Time  0.444007
2021-09-24 05:38:05.245333 : Epoch  3, Batch    616, Loss  1.439302, Average Loss  1.449363, Time  0.441394
2021-09-24 05:38:05.835771 : Epoch  3, Batch    570, Loss  1.441748, Average Loss  1.448955, Time  0.445461
2021-09-24 05:38:11.177625 : Epoch  3, Batch    617, Loss  1.447925, Average Loss  1.449325, Time  0.443185
2021-09-24 05:38:11.785228 : Epoch  3, Batch    571, Loss  1.451989, Average Loss  1.449001, Time  0.462124
2021-09-24 05:38:17.093970 : Epoch  3, Batch    618, Loss  1.463691, Average Loss  1.449368, Time  0.439501
2021-09-24 05:38:17.705529 : Epoch  3, Batch    572, Loss  1.458735, Average Loss  1.449079, Time  0.444024
2021-09-24 05:38:23.028611 : Epoch  3, Batch    619, Loss  1.451318, Average Loss  1.449354, Time  0.448083
2021-09-24 05:38:23.617754 : Epoch  3, Batch    573, Loss  1.448319, Average Loss  1.449104, Time  0.443239
2021-09-24 05:38:28.880322 : Epoch  3, Batch    620, Loss  1.450552, Average Loss  1.449391, Time  0.437749
2021-09-24 05:38:29.432197 : Epoch  3, Batch    574, Loss  1.443976, Average Loss  1.449077, Time  0.441052
2021-09-24 05:38:34.498801 : Epoch  3, Batch    621, Loss  1.459626, Average Loss  1.449418, Time  0.451725
2021-09-24 05:38:35.031039 : Epoch  3, Batch    575, Loss  1.453353, Average Loss  1.449105, Time  0.442290
2021-09-24 05:38:40.082280 : Epoch  3, Batch    622, Loss  1.435099, Average Loss  1.449369, Time  0.438051
2021-09-24 05:38:40.623610 : Epoch  3, Batch    576, Loss  1.462853, Average Loss  1.449263, Time  0.442156
2021-09-24 05:38:45.734231 : Epoch  3, Batch    623, Loss  1.466115, Average Loss  1.449462, Time  0.437238
2021-09-24 05:38:46.269003 : Epoch  3, Batch    577, Loss  1.437473, Average Loss  1.449200, Time  0.443098
2021-09-24 05:38:51.369314 : Epoch  3, Batch    624, Loss  1.443992, Average Loss  1.449426, Time  0.437123
2021-09-24 05:38:51.904877 : Epoch  3, Batch    578, Loss  1.444661, Average Loss  1.449146, Time  0.441237
2021-09-24 05:38:57.005032 : Epoch  3, Batch    625, Loss  1.450474, Average Loss  1.449439, Time  0.439061
2021-09-24 05:38:57.561575 : Epoch  3, Batch    579, Loss  1.438762, Average Loss  1.449108, Time  0.453309
2021-09-24 05:39:02.601393 : Epoch  3, Batch    626, Loss  1.443382, Average Loss  1.449400, Time  0.438360
2021-09-24 05:39:03.146877 : Epoch  3, Batch    580, Loss  1.450665, Average Loss  1.449094, Time  0.442233
2021-09-24 05:39:08.207020 : Epoch  3, Batch    627, Loss  1.421651, Average Loss  1.449252, Time  0.437075
2021-09-24 05:39:08.758071 : Epoch  3, Batch    581, Loss  1.448312, Average Loss  1.449072, Time  0.441312
2021-09-24 05:39:13.824401 : Epoch  3, Batch    628, Loss  1.450572, Average Loss  1.449291, Time  0.437628
2021-09-24 05:39:14.389828 : Epoch  3, Batch    582, Loss  1.439579, Average Loss  1.449020, Time  0.442268
2021-09-24 05:39:19.512485 : Epoch  3, Batch    629, Loss  1.453373, Average Loss  1.449274, Time  0.448981
2021-09-24 05:39:20.047214 : Epoch  3, Batch    583, Loss  1.442613, Average Loss  1.448960, Time  0.441266
2021-09-24 05:39:25.167227 : Epoch  3, Batch    630, Loss  1.441468, Average Loss  1.449308, Time  0.437860
2021-09-24 05:39:25.721665 : Epoch  3, Batch    584, Loss  1.441260, Average Loss  1.448940, Time  0.442024
2021-09-24 05:39:30.911701 : Epoch  3, Batch    631, Loss  1.448227, Average Loss  1.449303, Time  0.437348
2021-09-24 05:39:31.445918 : Epoch  3, Batch    585, Loss  1.458733, Average Loss  1.448977, Time  0.442609
2021-09-24 05:39:36.492951 : Epoch  3, Batch    632, Loss  1.444217, Average Loss  1.449274, Time  0.436814
2021-09-24 05:39:37.007435 : Epoch  3, Batch    586, Loss  1.466719, Average Loss  1.449054, Time  0.441737
2021-09-24 05:39:42.082413 : Epoch  3, Batch    633, Loss  1.452596, Average Loss  1.449268, Time  0.437130
2021-09-24 05:39:42.590254 : Epoch  3, Batch    587, Loss  1.456960, Average Loss  1.449039, Time  0.454728
2021-09-24 05:39:47.683939 : Epoch  3, Batch    634, Loss  1.449513, Average Loss  1.449282, Time  0.437291
2021-09-24 05:39:48.161665 : Epoch  3, Batch    588, Loss  1.456989, Average Loss  1.449111, Time  0.440921
2021-09-24 05:39:53.269389 : Epoch  3, Batch    635, Loss  1.451540, Average Loss  1.449300, Time  0.438032
2021-09-24 05:39:53.741450 : Epoch  3, Batch    589, Loss  1.449218, Average Loss  1.449183, Time  0.441767
2021-09-24 05:39:58.906522 : Epoch  3, Batch    636, Loss  1.441712, Average Loss  1.449299, Time  0.438009
2021-09-24 05:39:59.339081 : Epoch  3, Batch    590, Loss  1.445682, Average Loss  1.449130, Time  0.443011
2021-09-24 05:40:04.544379 : Epoch  3, Batch    637, Loss  1.455759, Average Loss  1.449334, Time  0.454018
2021-09-24 05:40:04.944347 : Epoch  3, Batch    591, Loss  1.445536, Average Loss  1.449081, Time  0.441346
2021-09-24 05:40:10.113701 : Epoch  3, Batch    638, Loss  1.456868, Average Loss  1.449378, Time  0.438877
2021-09-24 05:40:10.517438 : Epoch  3, Batch    592, Loss  1.451113, Average Loss  1.449049, Time  0.441911
2021-09-24 05:40:15.773325 : Epoch  3, Batch    639, Loss  1.454640, Average Loss  1.449434, Time  0.438479
2021-09-24 05:40:16.162852 : Epoch  3, Batch    593, Loss  1.456028, Average Loss  1.449084, Time  0.442366
2021-09-24 05:40:21.450103 : Epoch  3, Batch    640, Loss  1.457210, Average Loss  1.449497, Time  0.437070
2021-09-24 05:40:21.827804 : Epoch  3, Batch    594, Loss  1.449718, Average Loss  1.449063, Time  0.442559
2021-09-24 05:40:27.110838 : Epoch  3, Batch    641, Loss  1.453361, Average Loss  1.449564, Time  0.438456
2021-09-24 05:40:27.508955 : Epoch  3, Batch    595, Loss  1.450842, Average Loss  1.449105, Time  0.458277
2021-09-24 05:40:32.747256 : Epoch  3, Batch    642, Loss  1.450027, Average Loss  1.449599, Time  0.437988
2021-09-24 05:40:33.137809 : Epoch  3, Batch    596, Loss  1.448601, Average Loss  1.449092, Time  0.443634
2021-09-24 05:40:38.353936 : Epoch  3, Batch    643, Loss  1.449837, Average Loss  1.449610, Time  0.439533
2021-09-24 05:40:38.746080 : Epoch  3, Batch    597, Loss  1.446543, Average Loss  1.449112, Time  0.443729
2021-09-24 05:40:44.044692 : Epoch  3, Batch    644, Loss  1.453295, Average Loss  1.449590, Time  0.437982
2021-09-24 05:40:44.408687 : Epoch  3, Batch    598, Loss  1.454107, Average Loss  1.449085, Time  0.444257
2021-09-24 05:40:50.023770 : Epoch  3, Batch    599, Loss  1.453274, Average Loss  1.449042, Time  0.442062
2021-09-24 05:40:55.660795 : Epoch  3, Batch    600, Loss  1.447780, Average Loss  1.449050, Time  0.442532
2021-09-24 05:41:01.289311 : Epoch  3, Batch    601, Loss  1.450888, Average Loss  1.449062, Time  0.441713
2021-09-24 05:41:06.918627 : Epoch  3, Batch    602, Loss  1.458048, Average Loss  1.449112, Time  0.441359
2021-09-24 05:41:12.572758 : Epoch  3, Batch    603, Loss  1.457834, Average Loss  1.449136, Time  0.451630
2021-09-24 05:41:18.156803 : Epoch  3, Batch    604, Loss  1.455757, Average Loss  1.449223, Time  0.442271
2021-09-24 05:41:23.817685 : Epoch  3, Batch    605, Loss  1.467759, Average Loss  1.449295, Time  0.441280
2021-09-24 05:41:29.433252 : Epoch  3, Batch    606, Loss  1.464080, Average Loss  1.449343, Time  0.442117
2021-09-24 05:41:35.039166 : Epoch  3, Batch    607, Loss  1.438610, Average Loss  1.449308, Time  0.443604
2021-09-24 05:41:40.667425 : Epoch  3, Batch    608, Loss  1.444528, Average Loss  1.449329, Time  0.442066
2021-09-24 05:41:46.289199 : Epoch  3, Batch    609, Loss  1.445067, Average Loss  1.449248, Time  0.442426
2021-09-24 05:41:51.876319 : Epoch  3, Batch    610, Loss  1.457354, Average Loss  1.449386, Time  0.441935
2021-09-24 05:41:57.510809 : Epoch  3, Batch    611, Loss  1.449868, Average Loss  1.449465, Time  0.451145
2021-09-24 05:42:03.141150 : Epoch  3, Batch    612, Loss  1.443552, Average Loss  1.449406, Time  0.443174
2021-09-24 05:42:08.741059 : Epoch  3, Batch    613, Loss  1.460921, Average Loss  1.449496, Time  0.441890
2021-09-24 05:42:14.313432 : Epoch  3, Batch    614, Loss  1.456933, Average Loss  1.449544, Time  0.441951
2021-09-24 05:42:19.969608 : Epoch  3, Batch    615, Loss  1.449231, Average Loss  1.449546, Time  0.440481
2021-09-24 05:42:25.601057 : Epoch  3, Batch    616, Loss  1.456581, Average Loss  1.449605, Time  0.441173
2021-09-24 05:42:31.257024 : Epoch  3, Batch    617, Loss  1.456588, Average Loss  1.449607, Time  0.441121
2021-09-24 05:42:36.865441 : Epoch  3, Batch    618, Loss  1.441992, Average Loss  1.449581, Time  0.442811
2021-09-24 05:42:42.517690 : Epoch  3, Batch    619, Loss  1.458598, Average Loss  1.449621, Time  0.458180
2021-09-24 05:42:48.147474 : Epoch  3, Batch    620, Loss  1.451295, Average Loss  1.449634, Time  0.441327
2021-09-24 05:42:53.768648 : Epoch  3, Batch    621, Loss  1.453375, Average Loss  1.449675, Time  0.442397
2021-09-24 05:42:59.410830 : Epoch  3, Batch    622, Loss  1.456111, Average Loss  1.449623, Time  0.442336
2021-09-24 05:43:05.028317 : Epoch  3, Batch    623, Loss  1.450379, Average Loss  1.449635, Time  0.443859
2021-09-24 05:43:10.730746 : Epoch  3, Batch    624, Loss  1.440424, Average Loss  1.449580, Time  0.442516
2021-09-24 05:43:16.430229 : Epoch  3, Batch    625, Loss  1.445289, Average Loss  1.449552, Time  0.448177
2021-09-24 05:43:22.099378 : Epoch  3, Batch    626, Loss  1.453292, Average Loss  1.449533, Time  0.443514
2021-09-24 05:43:27.794013 : Epoch  3, Batch    627, Loss  1.458800, Average Loss  1.449606, Time  0.451211
2021-09-24 05:43:33.527889 : Epoch  3, Batch    628, Loss  1.460788, Average Loss  1.449670, Time  0.444519
2021-09-24 05:43:39.275962 : Epoch  3, Batch    629, Loss  1.458670, Average Loss  1.449720, Time  0.443023
2021-09-24 05:43:44.995546 : Epoch  3, Batch    630, Loss  1.452446, Average Loss  1.449706, Time  0.442225
2021-09-24 05:43:50.762086 : Epoch  3, Batch    631, Loss  1.445035, Average Loss  1.449702, Time  0.443910
2021-09-24 05:43:56.502934 : Epoch  3, Batch    632, Loss  1.446628, Average Loss  1.449607, Time  0.443940
2021-09-24 05:44:02.203405 : Epoch  3, Batch    633, Loss  1.471090, Average Loss  1.449693, Time  0.443452
2021-09-24 05:44:07.930503 : Epoch  3, Batch    634, Loss  1.446954, Average Loss  1.449635, Time  0.444747
2021-09-24 05:44:13.623448 : Epoch  3, Batch    635, Loss  1.429377, Average Loss  1.449501, Time  0.458932
2021-09-24 05:44:19.340673 : Epoch  3, Batch    636, Loss  1.442584, Average Loss  1.449407, Time  0.443182
2021-09-24 05:44:25.069794 : Epoch  3, Batch    637, Loss  1.454133, Average Loss  1.449368, Time  0.442435
2021-09-24 05:44:30.739480 : Epoch  3, Batch    638, Loss  1.440810, Average Loss  1.449329, Time  0.442204
2021-09-24 05:44:36.454696 : Epoch  3, Batch    639, Loss  1.449922, Average Loss  1.449305, Time  0.443223
2021-09-24 05:44:42.238968 : Epoch  3, Batch    640, Loss  1.446954, Average Loss  1.449263, Time  0.442406
2021-09-24 05:44:47.911672 : Epoch  3, Batch    641, Loss  1.441012, Average Loss  1.449268, Time  0.442151
2021-09-24 05:44:53.615198 : Epoch  3, Batch    642, Loss  1.445518, Average Loss  1.449293, Time  0.442347
2021-09-24 05:44:59.428052 : Epoch  3, Batch    643, Loss  1.427767, Average Loss  1.449158, Time  0.458624
2021-09-24 05:45:05.217333 : Epoch  3, Batch    644, Loss  1.457255, Average Loss  1.449181, Time  0.442809
2021-09-24 05:45:09.400525 : CheckPoint: Validation Loss  0.00025643, Best Loss  0.00024726
2021-09-24 05:45:15.259711 : Epoch  3, Batch    645, Loss  1.445300, Average Loss  1.449527, Time  0.438718
2021-09-24 05:45:20.959756 : Epoch  3, Batch    646, Loss  1.456024, Average Loss  1.449448, Time  0.439515
2021-09-24 05:45:26.701867 : Epoch  3, Batch    647, Loss  1.438561, Average Loss  1.449357, Time  0.439764
2021-09-24 05:45:32.489943 : Epoch  3, Batch    648, Loss  1.441103, Average Loss  1.449352, Time  0.449784
2021-09-24 05:45:38.311639 : Epoch  3, Batch    649, Loss  1.451366, Average Loss  1.449287, Time  0.438210
2021-09-24 05:45:44.052651 : Epoch  3, Batch    650, Loss  1.448929, Average Loss  1.449331, Time  0.437441
2021-09-24 05:45:49.744564 : Epoch  3, Batch    651, Loss  1.453690, Average Loss  1.449364, Time  0.437946
2021-09-24 05:45:55.466892 : Epoch  3, Batch    652, Loss  1.448251, Average Loss  1.449338, Time  0.437609
2021-09-24 05:46:01.103677 : Epoch  3, Batch    653, Loss  1.444726, Average Loss  1.449343, Time  0.439787
2021-09-24 05:46:06.864644 : Epoch  3, Batch    654, Loss  1.463612, Average Loss  1.449400, Time  0.437921
2021-09-24 05:46:12.536545 : Epoch  3, Batch    655, Loss  1.447470, Average Loss  1.449420, Time  0.438488
2021-09-24 05:46:18.302347 : Epoch  3, Batch    656, Loss  1.441982, Average Loss  1.449446, Time  0.451445
2021-09-24 05:46:24.016889 : Epoch  3, Batch    657, Loss  1.458884, Average Loss  1.449522, Time  0.438930
2021-09-24 05:46:29.745329 : Epoch  3, Batch    658, Loss  1.449455, Average Loss  1.449471, Time  0.438089
2021-09-24 05:46:35.451573 : Epoch  3, Batch    659, Loss  1.442705, Average Loss  1.449459, Time  0.437780
2021-09-24 05:46:41.198609 : Epoch  3, Batch    660, Loss  1.451996, Average Loss  1.449461, Time  0.437622
2021-09-24 05:46:46.890548 : Epoch  3, Batch    661, Loss  1.444665, Average Loss  1.449432, Time  0.440522
2021-09-24 05:46:52.707436 : Epoch  3, Batch    662, Loss  1.466535, Average Loss  1.449499, Time  0.438483
2021-09-24 05:46:58.427091 : Epoch  3, Batch    663, Loss  1.451612, Average Loss  1.449461, Time  0.438425
2021-09-24 05:47:04.141998 : Epoch  3, Batch    664, Loss  1.451712, Average Loss  1.449501, Time  0.446965
2021-09-24 05:47:09.904467 : Epoch  3, Batch    665, Loss  1.452716, Average Loss  1.449494, Time  0.438612
2021-09-24 05:47:15.709066 : Epoch  3, Batch    666, Loss  1.445263, Average Loss  1.449548, Time  0.438492
2021-09-24 05:47:21.474978 : Epoch  3, Batch    667, Loss  1.453333, Average Loss  1.449569, Time  0.440330
2021-09-24 05:47:27.337304 : Epoch  3, Batch    668, Loss  1.453178, Average Loss  1.449594, Time  0.466348
2021-09-24 05:47:33.107130 : Epoch  3, Batch    669, Loss  1.455609, Average Loss  1.449590, Time  0.440406
2021-09-24 05:47:38.813384 : Epoch  3, Batch    670, Loss  1.444242, Average Loss  1.449595, Time  0.438859
2021-09-24 05:47:44.540688 : Epoch  3, Batch    671, Loss  1.458075, Average Loss  1.449678, Time  0.437462
2021-09-24 05:47:50.253136 : Epoch  3, Batch    672, Loss  1.452110, Average Loss  1.449686, Time  0.447100
2021-09-24 05:47:55.986070 : Epoch  3, Batch    673, Loss  1.448096, Average Loss  1.449669, Time  0.438856
2021-09-24 05:48:01.721178 : Epoch  3, Batch    674, Loss  1.450096, Average Loss  1.449646, Time  0.438360
2021-09-24 05:48:07.413537 : Epoch  3, Batch    675, Loss  1.467865, Average Loss  1.449695, Time  0.438055
2021-09-24 05:48:13.098691 : Epoch  3, Batch    676, Loss  1.460161, Average Loss  1.449751, Time  0.439502
2021-09-24 05:48:18.863921 : Epoch  3, Batch    677, Loss  1.449944, Average Loss  1.449732, Time  0.437884
2021-09-24 05:48:24.589671 : Epoch  3, Batch    678, Loss  1.441954, Average Loss  1.449673, Time  0.438087
2021-09-24 05:48:30.299891 : Epoch  3, Batch    679, Loss  1.455342, Average Loss  1.449764, Time  0.441742
2021-09-24 05:48:35.976749 : Epoch  3, Batch    680, Loss  1.459913, Average Loss  1.449815, Time  0.452068
2021-09-24 05:48:41.666980 : Epoch  3, Batch    681, Loss  1.447743, Average Loss  1.449860, Time  0.439266
2021-09-24 05:48:47.413076 : Epoch  3, Batch    682, Loss  1.439594, Average Loss  1.449840, Time  0.440280
2021-09-24 05:48:53.136745 : Epoch  3, Batch    683, Loss  1.448324, Average Loss  1.449822, Time  0.437977
2021-09-24 05:48:58.863652 : Epoch  3, Batch    684, Loss  1.450662, Average Loss  1.449811, Time  0.438681
2021-09-24 05:49:04.674270 : Epoch  3, Batch    685, Loss  1.443353, Average Loss  1.449743, Time  0.438632
2021-09-24 05:49:10.385635 : Epoch  3, Batch    686, Loss  1.454558, Average Loss  1.449736, Time  0.439162
2021-09-24 05:49:16.143177 : Epoch  3, Batch    687, Loss  1.444273, Average Loss  1.449674, Time  0.439640
2021-09-24 05:49:21.854573 : Epoch  3, Batch    688, Loss  1.451481, Average Loss  1.449713, Time  0.446813
2021-09-24 05:49:27.569665 : Epoch  3, Batch    689, Loss  1.464082, Average Loss  1.449790, Time  0.438631
2021-09-24 05:49:33.257756 : Epoch  3, Batch    690, Loss  1.437458, Average Loss  1.449755, Time  0.436940
2021-09-24 05:49:33.884997 : CheckPoint: Validation Loss  0.00024799, Best Loss  0.00024587
2021-09-24 05:49:38.962829 : Epoch  3, Batch    691, Loss  1.443316, Average Loss  1.449751, Time  0.438328
2021-09-24 05:49:39.575190 : Epoch  3, Batch    645, Loss  1.452050, Average Loss  1.449160, Time  0.455223
2021-09-24 05:49:44.730776 : Epoch  3, Batch    692, Loss  1.442687, Average Loss  1.449690, Time  0.437933
2021-09-24 05:49:45.310379 : Epoch  3, Batch    646, Loss  1.445951, Average Loss  1.449170, Time  0.443388
2021-09-24 05:49:50.459419 : Epoch  3, Batch    693, Loss  1.449347, Average Loss  1.449686, Time  0.438131
2021-09-24 05:49:51.010886 : Epoch  3, Batch    647, Loss  1.443082, Average Loss  1.449167, Time  0.442025
2021-09-24 05:49:56.181977 : Epoch  3, Batch    694, Loss  1.450753, Average Loss  1.449659, Time  0.439419
2021-09-24 05:49:56.732597 : Epoch  3, Batch    648, Loss  1.440433, Average Loss  1.449116, Time  0.442767
2021-09-24 05:50:01.886202 : Epoch  3, Batch    695, Loss  1.452652, Average Loss  1.449714, Time  0.439865
2021-09-24 05:50:02.447264 : Epoch  3, Batch    649, Loss  1.448461, Average Loss  1.449187, Time  0.443777
2021-09-24 05:50:07.629626 : Epoch  3, Batch    696, Loss  1.449070, Average Loss  1.449682, Time  0.447387
2021-09-24 05:50:08.154677 : Epoch  3, Batch    650, Loss  1.455120, Average Loss  1.449242, Time  0.442639
2021-09-24 05:50:13.325334 : Epoch  3, Batch    697, Loss  1.447280, Average Loss  1.449705, Time  0.438281
2021-09-24 05:50:13.855630 : Epoch  3, Batch    651, Loss  1.450068, Average Loss  1.449227, Time  0.444937
2021-09-24 05:50:19.035413 : Epoch  3, Batch    698, Loss  1.459373, Average Loss  1.449674, Time  0.438256
2021-09-24 05:50:19.568733 : Epoch  3, Batch    652, Loss  1.448210, Average Loss  1.449171, Time  0.442971
2021-09-24 05:50:24.750040 : Epoch  3, Batch    699, Loss  1.450929, Average Loss  1.449626, Time  0.437650
2021-09-24 05:50:25.301282 : Epoch  3, Batch    653, Loss  1.451408, Average Loss  1.449233, Time  0.458192
2021-09-24 05:50:30.450646 : Epoch  3, Batch    700, Loss  1.455317, Average Loss  1.449732, Time  0.438394
2021-09-24 05:50:30.992016 : Epoch  3, Batch    654, Loss  1.455345, Average Loss  1.449312, Time  0.442639
2021-09-24 05:50:36.185317 : Epoch  3, Batch    701, Loss  1.445276, Average Loss  1.449657, Time  0.439116
2021-09-24 05:50:36.730470 : Epoch  3, Batch    655, Loss  1.447284, Average Loss  1.449271, Time  0.443052
2021-09-24 05:50:41.954389 : Epoch  3, Batch    702, Loss  1.450513, Average Loss  1.449658, Time  0.438871
2021-09-24 05:50:42.492370 : Epoch  3, Batch    656, Loss  1.450427, Average Loss  1.449285, Time  0.442684
2021-09-24 05:50:47.687447 : Epoch  3, Batch    703, Loss  1.451371, Average Loss  1.449675, Time  0.437972
2021-09-24 05:50:48.233502 : Epoch  3, Batch    657, Loss  1.444284, Average Loss  1.449306, Time  0.442144
2021-09-24 05:50:53.547515 : Epoch  3, Batch    704, Loss  1.445168, Average Loss  1.449669, Time  0.451412
2021-09-24 05:50:54.039093 : Epoch  3, Batch    658, Loss  1.435385, Average Loss  1.449217, Time  0.445338
2021-09-24 05:50:59.327144 : Epoch  3, Batch    705, Loss  1.469514, Average Loss  1.449755, Time  0.440477
2021-09-24 05:50:59.796691 : Epoch  3, Batch    659, Loss  1.445959, Average Loss  1.449288, Time  0.443066
2021-09-24 05:51:05.048230 : Epoch  3, Batch    706, Loss  1.460766, Average Loss  1.449827, Time  0.439725
2021-09-24 05:51:05.479374 : Epoch  3, Batch    660, Loss  1.441128, Average Loss  1.449310, Time  0.443146
2021-09-24 05:51:10.785228 : Epoch  3, Batch    707, Loss  1.445552, Average Loss  1.449855, Time  0.438894
2021-09-24 05:51:11.205655 : Epoch  3, Batch    661, Loss  1.456702, Average Loss  1.449300, Time  0.451833
2021-09-24 05:51:16.515325 : Epoch  3, Batch    708, Loss  1.441868, Average Loss  1.449842, Time  0.438872
2021-09-24 05:51:16.913322 : Epoch  3, Batch    662, Loss  1.447140, Average Loss  1.449270, Time  0.443590
2021-09-24 05:51:22.181784 : Epoch  3, Batch    709, Loss  1.443503, Average Loss  1.449804, Time  0.438517
2021-09-24 05:51:22.549051 : Epoch  3, Batch    663, Loss  1.452049, Average Loss  1.449278, Time  0.443986
2021-09-24 05:51:27.899326 : Epoch  3, Batch    710, Loss  1.453929, Average Loss  1.449831, Time  0.438398
2021-09-24 05:51:28.252457 : Epoch  3, Batch    664, Loss  1.454935, Average Loss  1.449294, Time  0.443211
2021-09-24 05:51:33.706762 : Epoch  3, Batch    711, Loss  1.445407, Average Loss  1.449798, Time  0.438582
2021-09-24 05:51:34.027619 : Epoch  3, Batch    665, Loss  1.451373, Average Loss  1.449319, Time  0.443733
2021-09-24 05:51:39.383462 : Epoch  3, Batch    712, Loss  1.451900, Average Loss  1.449826, Time  0.445091
2021-09-24 05:51:39.665083 : Epoch  3, Batch    666, Loss  1.460476, Average Loss  1.449330, Time  0.442135
2021-09-24 05:51:45.044234 : Epoch  3, Batch    713, Loss  1.440657, Average Loss  1.449816, Time  0.438890
2021-09-24 05:51:45.299073 : Epoch  3, Batch    667, Loss  1.462914, Average Loss  1.449370, Time  0.442965
2021-09-24 05:51:50.767872 : Epoch  3, Batch    714, Loss  1.451173, Average Loss  1.449870, Time  0.440621
2021-09-24 05:51:51.030965 : Epoch  3, Batch    668, Loss  1.450133, Average Loss  1.449381, Time  0.445937
2021-09-24 05:51:56.506155 : Epoch  3, Batch    715, Loss  1.440470, Average Loss  1.449789, Time  0.439355
2021-09-24 05:51:56.741776 : Epoch  3, Batch    669, Loss  1.424999, Average Loss  1.449314, Time  0.456817
2021-09-24 05:52:02.221112 : Epoch  3, Batch    716, Loss  1.444173, Average Loss  1.449756, Time  0.439162
2021-09-24 05:52:02.436657 : Epoch  3, Batch    670, Loss  1.459915, Average Loss  1.449428, Time  0.442456
2021-09-24 05:52:07.902764 : Epoch  3, Batch    717, Loss  1.438303, Average Loss  1.449736, Time  0.438695
2021-09-24 05:52:08.112964 : Epoch  3, Batch    671, Loss  1.449743, Average Loss  1.449468, Time  0.444006
2021-09-24 05:52:13.573778 : Epoch  3, Batch    718, Loss  1.449029, Average Loss  1.449757, Time  0.437957
2021-09-24 05:52:13.754418 : Epoch  3, Batch    672, Loss  1.454323, Average Loss  1.449444, Time  0.441539
2021-09-24 05:52:19.301139 : Epoch  3, Batch    719, Loss  1.447096, Average Loss  1.449801, Time  0.438838
2021-09-24 05:52:19.457100 : Epoch  3, Batch    673, Loss  1.444942, Average Loss  1.449389, Time  0.442968
2021-09-24 05:52:24.986861 : Epoch  3, Batch    720, Loss  1.446767, Average Loss  1.449728, Time  0.449700
2021-09-24 05:52:25.118886 : Epoch  3, Batch    674, Loss  1.462555, Average Loss  1.449550, Time  0.443113
2021-09-24 05:52:30.688297 : Epoch  3, Batch    721, Loss  1.443503, Average Loss  1.449758, Time  0.439295
2021-09-24 05:52:30.784544 : Epoch  3, Batch    675, Loss  1.454136, Average Loss  1.449585, Time  0.444184
2021-09-24 05:52:36.455297 : Epoch  3, Batch    722, Loss  1.441375, Average Loss  1.449813, Time  0.440021
2021-09-24 05:52:36.558901 : Epoch  3, Batch    676, Loss  1.443793, Average Loss  1.449509, Time  0.444625
2021-09-24 05:52:42.194549 : Epoch  3, Batch    723, Loss  1.446499, Average Loss  1.449808, Time  0.438076
2021-09-24 05:52:42.296197 : Epoch  3, Batch    677, Loss  1.461671, Average Loss  1.449571, Time  0.449756
2021-09-24 05:52:47.938755 : Epoch  3, Batch    724, Loss  1.440163, Average Loss  1.449708, Time  0.438074
2021-09-24 05:52:48.017695 : Epoch  3, Batch    678, Loss  1.447009, Average Loss  1.449547, Time  0.444258
2021-09-24 05:52:53.646065 : Epoch  3, Batch    725, Loss  1.445578, Average Loss  1.449685, Time  0.438265
2021-09-24 05:52:53.715304 : Epoch  3, Batch    679, Loss  1.460408, Average Loss  1.449503, Time  0.442249
2021-09-24 05:52:59.406790 : Epoch  3, Batch    726, Loss  1.447135, Average Loss  1.449704, Time  0.439310
2021-09-24 05:52:59.461072 : Epoch  3, Batch    680, Loss  1.451759, Average Loss  1.449471, Time  0.443933
2021-09-24 05:53:05.252570 : Epoch  3, Batch    727, Loss  1.439450, Average Loss  1.449608, Time  0.440276
2021-09-24 05:53:05.295013 : Epoch  3, Batch    681, Loss  1.447953, Average Loss  1.449428, Time  0.443899
2021-09-24 05:53:11.001430 : Epoch  3, Batch    728, Loss  1.439032, Average Loss  1.449512, Time  0.452443
2021-09-24 05:53:11.034590 : Epoch  3, Batch    682, Loss  1.447090, Average Loss  1.449393, Time  0.441205
2021-09-24 05:53:16.584705 : Epoch  3, Batch    729, Loss  1.453831, Average Loss  1.449549, Time  0.439728
2021-09-24 05:53:16.621724 : Epoch  3, Batch    683, Loss  1.445359, Average Loss  1.449336, Time  0.443365
2021-09-24 05:53:22.361856 : Epoch  3, Batch    730, Loss  1.455157, Average Loss  1.449560, Time  0.439712
2021-09-24 05:53:22.400464 : Epoch  3, Batch    684, Loss  1.463176, Average Loss  1.449371, Time  0.444414
2021-09-24 05:53:28.076762 : Epoch  3, Batch    731, Loss  1.451222, Average Loss  1.449606, Time  0.439796
2021-09-24 05:53:28.120787 : Epoch  3, Batch    685, Loss  1.443098, Average Loss  1.449347, Time  0.459653
2021-09-24 05:53:33.899215 : Epoch  3, Batch    732, Loss  1.450943, Average Loss  1.449633, Time  0.440260
2021-09-24 05:53:33.942176 : Epoch  3, Batch    686, Loss  1.449533, Average Loss  1.449393, Time  0.444088
2021-09-24 05:53:39.705838 : Epoch  3, Batch    733, Loss  1.453182, Average Loss  1.449640, Time  0.439569
2021-09-24 05:53:39.774198 : Epoch  3, Batch    687, Loss  1.452467, Average Loss  1.449413, Time  0.444049
2021-09-24 05:53:45.427750 : Epoch  3, Batch    734, Loss  1.450492, Average Loss  1.449651, Time  0.439638
2021-09-24 05:53:45.488649 : Epoch  3, Batch    688, Loss  1.453275, Average Loss  1.449418, Time  0.443387
2021-09-24 05:53:51.126157 : Epoch  3, Batch    735, Loss  1.450973, Average Loss  1.449633, Time  0.437856
2021-09-24 05:53:51.166042 : Epoch  3, Batch    689, Loss  1.448413, Average Loss  1.449414, Time  0.442333
2021-09-24 05:53:56.859027 : Epoch  3, Batch    736, Loss  1.454573, Average Loss  1.449643, Time  0.450845
2021-09-24 05:53:56.896325 : Epoch  3, Batch    690, Loss  1.454492, Average Loss  1.449406, Time  0.443059
2021-09-24 05:54:02.647467 : Epoch  3, Batch    737, Loss  1.435567, Average Loss  1.449607, Time  0.440216
2021-09-24 05:54:02.696898 : Epoch  3, Batch    691, Loss  1.451882, Average Loss  1.449409, Time  0.445004
2021-09-24 05:54:08.555649 : Epoch  3, Batch    738, Loss  1.445287, Average Loss  1.449612, Time  0.466899
2021-09-24 05:54:08.575996 : Epoch  3, Batch    692, Loss  1.451832, Average Loss  1.449430, Time  0.445111
2021-09-24 05:54:14.449650 : Epoch  3, Batch    693, Loss  1.446144, Average Loss  1.449488, Time  0.458921
2021-09-24 05:54:14.972157 : Epoch  3, Batch    739, Loss  1.447140, Average Loss  1.449579, Time  0.526645
2021-09-24 05:54:20.299907 : Epoch  3, Batch    694, Loss  1.451771, Average Loss  1.449564, Time  0.445449
2021-09-24 05:54:20.865081 : Epoch  3, Batch    740, Loss  1.438692, Average Loss  1.449512, Time  0.440443
2021-09-24 05:54:26.047001 : Epoch  3, Batch    695, Loss  1.443037, Average Loss  1.449514, Time  0.442139
2021-09-24 05:54:26.981491 : Epoch  3, Batch    741, Loss  1.454453, Average Loss  1.449579, Time  0.445570
2021-09-24 05:54:31.765503 : Epoch  3, Batch    696, Loss  1.435417, Average Loss  1.449472, Time  0.444209
2021-09-24 05:54:32.869099 : Epoch  3, Batch    742, Loss  1.447056, Average Loss  1.449635, Time  0.444928
2021-09-24 05:54:37.488803 : Epoch  3, Batch    697, Loss  1.463956, Average Loss  1.449569, Time  0.442747
2021-09-24 05:54:38.979913 : Epoch  3, Batch    743, Loss  1.442297, Average Loss  1.449612, Time  0.512754
2021-09-24 05:54:43.256462 : Epoch  3, Batch    698, Loss  1.428788, Average Loss  1.449445, Time  0.445057
2021-09-24 05:54:44.874052 : Epoch  3, Batch    744, Loss  1.454260, Average Loss  1.449602, Time  0.437862
2021-09-24 05:54:48.993685 : Epoch  3, Batch    699, Loss  1.460705, Average Loss  1.449479, Time  0.445495
2021-09-24 05:54:54.670471 : Epoch  3, Batch    700, Loss  1.446903, Average Loss  1.449482, Time  0.443465
2021-09-24 05:55:00.378510 : Epoch  3, Batch    701, Loss  1.455178, Average Loss  1.449531, Time  0.457269
2021-09-24 05:55:06.058465 : Epoch  3, Batch    702, Loss  1.463065, Average Loss  1.449604, Time  0.444159
2021-09-24 05:55:11.781502 : Epoch  3, Batch    703, Loss  1.460082, Average Loss  1.449713, Time  0.446471
2021-09-24 05:55:17.581828 : Epoch  3, Batch    704, Loss  1.453116, Average Loss  1.449682, Time  0.442188
2021-09-24 05:55:23.334128 : Epoch  3, Batch    705, Loss  1.447813, Average Loss  1.449637, Time  0.445481
2021-09-24 05:55:29.060141 : Epoch  3, Batch    706, Loss  1.450112, Average Loss  1.449593, Time  0.443822
2021-09-24 05:55:34.804548 : Epoch  3, Batch    707, Loss  1.460452, Average Loss  1.449656, Time  0.441333
2021-09-24 05:55:40.544189 : Epoch  3, Batch    708, Loss  1.456620, Average Loss  1.449656, Time  0.442654
2021-09-24 05:55:46.260331 : Epoch  3, Batch    709, Loss  1.445949, Average Loss  1.449625, Time  0.451963
2021-09-24 05:55:51.973006 : Epoch  3, Batch    710, Loss  1.450007, Average Loss  1.449613, Time  0.443362
2021-09-24 05:55:57.698881 : Epoch  3, Batch    711, Loss  1.452449, Average Loss  1.449673, Time  0.443308
2021-09-24 05:56:03.357402 : Epoch  3, Batch    712, Loss  1.438282, Average Loss  1.449609, Time  0.443516
2021-09-24 05:56:09.088866 : Epoch  3, Batch    713, Loss  1.456803, Average Loss  1.449650, Time  0.445059
2021-09-24 05:56:14.840789 : Epoch  3, Batch    714, Loss  1.449691, Average Loss  1.449669, Time  0.442820
2021-09-24 05:56:20.560001 : Epoch  3, Batch    715, Loss  1.457411, Average Loss  1.449729, Time  0.443523
2021-09-24 05:56:26.270614 : Epoch  3, Batch    716, Loss  1.447289, Average Loss  1.449758, Time  0.442897
2021-09-24 05:56:31.908999 : Epoch  3, Batch    717, Loss  1.451491, Average Loss  1.449799, Time  0.450676
2021-09-24 05:56:37.562371 : Epoch  3, Batch    718, Loss  1.454201, Average Loss  1.449837, Time  0.443216
2021-09-24 05:56:43.264717 : Epoch  3, Batch    719, Loss  1.456304, Average Loss  1.449811, Time  0.442806
2021-09-24 05:56:48.935421 : Epoch  3, Batch    720, Loss  1.440199, Average Loss  1.449787, Time  0.443149
2021-09-24 05:56:54.658994 : Epoch  3, Batch    721, Loss  1.456887, Average Loss  1.449796, Time  0.443818
2021-09-24 05:57:00.595457 : Epoch  3, Batch    722, Loss  1.458408, Average Loss  1.449879, Time  0.470571
2021-09-24 05:57:06.473727 : Epoch  3, Batch    723, Loss  1.459151, Average Loss  1.450061, Time  0.444163
2021-09-24 05:57:12.153831 : Epoch  3, Batch    724, Loss  1.454532, Average Loss  1.450106, Time  0.444797
2021-09-24 05:57:17.941956 : Epoch  3, Batch    725, Loss  1.453600, Average Loss  1.450140, Time  0.460283
2021-09-24 05:57:23.685325 : Epoch  3, Batch    726, Loss  1.450722, Average Loss  1.450108, Time  0.444708
2021-09-24 05:57:29.441017 : Epoch  3, Batch    727, Loss  1.442494, Average Loss  1.450004, Time  0.443132
2021-09-24 05:57:35.231142 : Epoch  3, Batch    728, Loss  1.468824, Average Loss  1.450168, Time  0.443662
2021-09-24 05:57:40.936376 : Epoch  3, Batch    729, Loss  1.460018, Average Loss  1.450198, Time  0.443829
2021-09-24 05:57:46.705415 : Epoch  3, Batch    730, Loss  1.445539, Average Loss  1.450127, Time  0.442595
2021-09-24 05:57:52.467555 : Epoch  3, Batch    731, Loss  1.446740, Average Loss  1.450162, Time  0.443638
2021-09-24 05:57:58.178265 : Epoch  3, Batch    732, Loss  1.455110, Average Loss  1.450218, Time  0.442305
2021-09-24 05:58:03.876421 : Epoch  3, Batch    733, Loss  1.465153, Average Loss  1.450329, Time  0.457407
2021-09-24 05:58:09.599832 : Epoch  3, Batch    734, Loss  1.459721, Average Loss  1.450385, Time  0.444661
2021-09-24 05:58:15.353909 : Epoch  3, Batch    735, Loss  1.456466, Average Loss  1.450432, Time  0.442923
2021-09-24 05:58:21.044244 : Epoch  3, Batch    736, Loss  1.454086, Average Loss  1.450521, Time  0.442688
2021-09-24 05:58:26.723187 : Epoch  3, Batch    737, Loss  1.462002, Average Loss  1.450568, Time  0.442979
2021-09-24 05:58:32.411304 : Epoch  3, Batch    738, Loss  1.446452, Average Loss  1.450537, Time  0.443954
2021-09-24 05:58:38.294760 : Epoch  3, Batch    739, Loss  1.448269, Average Loss  1.450493, Time  0.444153
2021-09-24 05:58:44.040819 : Epoch  3, Batch    740, Loss  1.444294, Average Loss  1.450469, Time  0.444024
2021-09-24 05:58:49.755669 : Epoch  3, Batch    741, Loss  1.454997, Average Loss  1.450461, Time  0.451407
2021-09-24 05:58:55.591765 : Epoch  3, Batch    742, Loss  1.448141, Average Loss  1.450438, Time  0.444156
2021-09-24 05:59:01.332223 : Epoch  3, Batch    743, Loss  1.455818, Average Loss  1.450520, Time  0.443876
2021-09-24 05:59:07.032160 : Epoch  3, Batch    744, Loss  1.443612, Average Loss  1.450507, Time  0.444071
2021-09-24 05:59:14.069320 : CheckPoint: Validation Loss  0.00025371, Best Loss  0.00024726
2021-09-24 05:59:19.907089 : Epoch  3, Batch    745, Loss  1.451581, Average Loss  1.449627, Time  0.453259
2021-09-24 05:59:25.721899 : Epoch  3, Batch    746, Loss  1.461882, Average Loss  1.449692, Time  0.438065
2021-09-24 05:59:31.348758 : Epoch  3, Batch    747, Loss  1.465425, Average Loss  1.449769, Time  0.438138
2021-09-24 05:59:37.079099 : Epoch  3, Batch    748, Loss  1.450014, Average Loss  1.449740, Time  0.440307
2021-09-24 05:59:42.867861 : Epoch  3, Batch    749, Loss  1.464324, Average Loss  1.449826, Time  0.438425
2021-09-24 05:59:48.551181 : Epoch  3, Batch    750, Loss  1.453679, Average Loss  1.449785, Time  0.438016
2021-09-24 05:59:54.257883 : Epoch  3, Batch    751, Loss  1.449917, Average Loss  1.449782, Time  0.439037
2021-09-24 05:59:59.943286 : Epoch  3, Batch    752, Loss  1.450425, Average Loss  1.449797, Time  0.439769
2021-09-24 06:00:05.677694 : Epoch  3, Batch    753, Loss  1.455431, Average Loss  1.449790, Time  0.452875
2021-09-24 06:00:11.505090 : Epoch  3, Batch    754, Loss  1.444014, Average Loss  1.449762, Time  0.439992
2021-09-24 06:00:17.293701 : Epoch  3, Batch    755, Loss  1.442832, Average Loss  1.449746, Time  0.439793
2021-09-24 06:00:23.025915 : Epoch  3, Batch    756, Loss  1.449004, Average Loss  1.449728, Time  0.439581
2021-09-24 06:00:28.771819 : Epoch  3, Batch    757, Loss  1.451762, Average Loss  1.449682, Time  0.437760
2021-09-24 06:00:34.535119 : Epoch  3, Batch    758, Loss  1.453302, Average Loss  1.449719, Time  0.437551
2021-09-24 06:00:40.222550 : Epoch  3, Batch    759, Loss  1.446422, Average Loss  1.449640, Time  0.438020
2021-09-24 06:00:45.914577 : Epoch  3, Batch    760, Loss  1.440771, Average Loss  1.449614, Time  0.438820
2021-09-24 06:00:51.614927 : Epoch  3, Batch    761, Loss  1.443653, Average Loss  1.449565, Time  0.451284
2021-09-24 06:00:57.349181 : Epoch  3, Batch    762, Loss  1.446036, Average Loss  1.449528, Time  0.439286
2021-09-24 06:01:03.165709 : Epoch  3, Batch    763, Loss  1.447939, Average Loss  1.449493, Time  0.438584
2021-09-24 06:01:08.983375 : Epoch  3, Batch    764, Loss  1.436668, Average Loss  1.449447, Time  0.439582
2021-09-24 06:01:14.680409 : Epoch  3, Batch    765, Loss  1.441124, Average Loss  1.449391, Time  0.437979
2021-09-24 06:01:20.330971 : Epoch  3, Batch    766, Loss  1.463981, Average Loss  1.449513, Time  0.438035
2021-09-24 06:01:26.023713 : Epoch  3, Batch    767, Loss  1.452996, Average Loss  1.449554, Time  0.439013
2021-09-24 06:01:31.697533 : Epoch  3, Batch    768, Loss  1.456726, Average Loss  1.449630, Time  0.438590
2021-09-24 06:01:37.428271 : Epoch  3, Batch    769, Loss  1.451467, Average Loss  1.449636, Time  0.451480
2021-09-24 06:01:43.142211 : Epoch  3, Batch    770, Loss  1.457878, Average Loss  1.449667, Time  0.438001
2021-09-24 06:01:48.928101 : Epoch  3, Batch    771, Loss  1.455880, Average Loss  1.449687, Time  0.437252
2021-09-24 06:01:54.560668 : Epoch  3, Batch    772, Loss  1.456248, Average Loss  1.449729, Time  0.438254
2021-09-24 06:02:00.251211 : Epoch  3, Batch    773, Loss  1.438670, Average Loss  1.449711, Time  0.438832
2021-09-24 06:02:05.984069 : Epoch  3, Batch    774, Loss  1.457221, Average Loss  1.449744, Time  0.439787
2021-09-24 06:02:11.753574 : Epoch  3, Batch    775, Loss  1.452326, Average Loss  1.449763, Time  0.437856
2021-09-24 06:02:17.464657 : Epoch  3, Batch    776, Loss  1.445068, Average Loss  1.449744, Time  0.438865
2021-09-24 06:02:23.180662 : Epoch  3, Batch    777, Loss  1.430824, Average Loss  1.449678, Time  0.452042
2021-09-24 06:02:28.830653 : Epoch  3, Batch    778, Loss  1.462418, Average Loss  1.449743, Time  0.438678
2021-09-24 06:02:34.615435 : Epoch  3, Batch    779, Loss  1.456358, Average Loss  1.449763, Time  0.438678
2021-09-24 06:02:40.342198 : Epoch  3, Batch    780, Loss  1.457822, Average Loss  1.449758, Time  0.438935
2021-09-24 06:02:46.012999 : Epoch  3, Batch    781, Loss  1.446803, Average Loss  1.449752, Time  0.439198
2021-09-24 06:02:51.681896 : Epoch  3, Batch    782, Loss  1.444056, Average Loss  1.449752, Time  0.438518
2021-09-24 06:02:57.399063 : Epoch  3, Batch    783, Loss  1.464018, Average Loss  1.449892, Time  0.437501
2021-09-24 06:03:03.135956 : Epoch  3, Batch    784, Loss  1.446882, Average Loss  1.449893, Time  0.438516
2021-09-24 06:03:08.867942 : Epoch  3, Batch    785, Loss  1.438745, Average Loss  1.449848, Time  0.437681
2021-09-24 06:03:14.577369 : Epoch  3, Batch    786, Loss  1.456332, Average Loss  1.449903, Time  0.448830
2021-09-24 06:03:20.328202 : Epoch  3, Batch    787, Loss  1.447142, Average Loss  1.449864, Time  0.438667
2021-09-24 06:03:26.041950 : Epoch  3, Batch    788, Loss  1.441442, Average Loss  1.449742, Time  0.439725
2021-09-24 06:03:31.792403 : Epoch  3, Batch    789, Loss  1.441104, Average Loss  1.449738, Time  0.438842
2021-09-24 06:03:35.754530 : CheckPoint: Validation Loss  0.00025206, Best Loss  0.00024587
2021-09-24 06:03:37.482402 : Epoch  3, Batch    790, Loss  1.449709, Average Loss  1.449749, Time  0.438636
2021-09-24 06:03:41.484322 : Epoch  3, Batch    745, Loss  1.447565, Average Loss  1.450438, Time  0.445790
2021-09-24 06:03:43.242816 : Epoch  3, Batch    791, Loss  1.436832, Average Loss  1.449602, Time  0.438656
2021-09-24 06:03:47.226605 : Epoch  3, Batch    746, Loss  1.450347, Average Loss  1.450511, Time  0.442283
2021-09-24 06:03:48.982322 : Epoch  3, Batch    792, Loss  1.445026, Average Loss  1.449548, Time  0.439935
2021-09-24 06:03:52.937631 : Epoch  3, Batch    747, Loss  1.444400, Average Loss  1.450517, Time  0.442020
2021-09-24 06:03:54.654023 : Epoch  3, Batch    793, Loss  1.456046, Average Loss  1.449561, Time  0.437806
2021-09-24 06:03:58.595040 : Epoch  3, Batch    748, Loss  1.466932, Average Loss  1.450666, Time  0.443557
2021-09-24 06:04:00.342995 : Epoch  3, Batch    794, Loss  1.445645, Average Loss  1.449534, Time  0.448599
2021-09-24 06:04:04.240503 : Epoch  3, Batch    749, Loss  1.443513, Average Loss  1.450689, Time  0.443257
2021-09-24 06:04:05.994181 : Epoch  3, Batch    795, Loss  1.451871, Average Loss  1.449499, Time  0.437816
2021-09-24 06:04:09.922197 : Epoch  3, Batch    750, Loss  1.444187, Average Loss  1.450722, Time  0.444328
2021-09-24 06:04:11.721972 : Epoch  3, Batch    796, Loss  1.449014, Average Loss  1.449556, Time  0.438920
2021-09-24 06:04:15.716251 : Epoch  3, Batch    751, Loss  1.445666, Average Loss  1.450762, Time  0.463761
2021-09-24 06:04:17.437566 : Epoch  3, Batch    797, Loss  1.453266, Average Loss  1.449534, Time  0.439205
2021-09-24 06:04:21.497094 : Epoch  3, Batch    752, Loss  1.451908, Average Loss  1.450828, Time  0.443200
2021-09-24 06:04:23.203790 : Epoch  3, Batch    798, Loss  1.446082, Average Loss  1.449518, Time  0.438454
2021-09-24 06:04:27.211053 : Epoch  3, Batch    753, Loss  1.442292, Average Loss  1.450808, Time  0.443511
2021-09-24 06:04:28.899695 : Epoch  3, Batch    799, Loss  1.441096, Average Loss  1.449446, Time  0.439098
2021-09-24 06:04:32.867910 : Epoch  3, Batch    754, Loss  1.448470, Average Loss  1.450846, Time  0.443391
2021-09-24 06:04:34.550810 : Epoch  3, Batch    800, Loss  1.456722, Average Loss  1.449470, Time  0.438237
2021-09-24 06:04:38.601449 : Epoch  3, Batch    755, Loss  1.445349, Average Loss  1.450855, Time  0.440553
2021-09-24 06:04:40.232311 : Epoch  3, Batch    801, Loss  1.436747, Average Loss  1.449374, Time  0.436634
2021-09-24 06:04:44.395291 : Epoch  3, Batch    756, Loss  1.455956, Average Loss  1.450921, Time  0.443444
2021-09-24 06:04:46.162952 : Epoch  3, Batch    802, Loss  1.442979, Average Loss  1.449375, Time  0.448850
2021-09-24 06:04:50.301474 : Epoch  3, Batch    757, Loss  1.445401, Average Loss  1.450906, Time  0.442678
2021-09-24 06:04:52.086891 : Epoch  3, Batch    803, Loss  1.445457, Average Loss  1.449312, Time  0.437500
2021-09-24 06:04:56.224280 : Epoch  3, Batch    758, Loss  1.455403, Average Loss  1.450877, Time  0.443248
2021-09-24 06:04:57.976519 : Epoch  3, Batch    804, Loss  1.442229, Average Loss  1.449240, Time  0.437559
2021-09-24 06:05:02.141779 : Epoch  3, Batch    759, Loss  1.457904, Average Loss  1.450884, Time  0.451018
2021-09-24 06:05:03.886338 : Epoch  3, Batch    805, Loss  1.454349, Average Loss  1.449328, Time  0.437924
2021-09-24 06:05:08.061484 : Epoch  3, Batch    760, Loss  1.440381, Average Loss  1.450810, Time  0.443367
2021-09-24 06:05:09.781744 : Epoch  3, Batch    806, Loss  1.440350, Average Loss  1.449267, Time  0.438022
2021-09-24 06:05:13.963849 : Epoch  3, Batch    761, Loss  1.440365, Average Loss  1.450726, Time  0.443373
2021-09-24 06:05:15.687366 : Epoch  3, Batch    807, Loss  1.438152, Average Loss  1.449208, Time  0.437723
2021-09-24 06:05:19.926317 : Epoch  3, Batch    762, Loss  1.449921, Average Loss  1.450717, Time  0.442629
2021-09-24 06:05:21.601664 : Epoch  3, Batch    808, Loss  1.438600, Average Loss  1.449118, Time  0.438358
2021-09-24 06:05:25.841312 : Epoch  3, Batch    763, Loss  1.467887, Average Loss  1.450758, Time  0.443151
2021-09-24 06:05:27.508640 : Epoch  3, Batch    809, Loss  1.449027, Average Loss  1.449122, Time  0.438381
2021-09-24 06:05:31.744462 : Epoch  3, Batch    764, Loss  1.450760, Average Loss  1.450741, Time  0.443025
2021-09-24 06:05:33.416520 : Epoch  3, Batch    810, Loss  1.446463, Average Loss  1.449127, Time  0.450615
2021-09-24 06:05:37.657717 : Epoch  3, Batch    765, Loss  1.452611, Average Loss  1.450779, Time  0.443216
2021-09-24 06:05:39.325026 : Epoch  3, Batch    811, Loss  1.445885, Average Loss  1.449108, Time  0.439154
2021-09-24 06:05:43.547415 : Epoch  3, Batch    766, Loss  1.442031, Average Loss  1.450781, Time  0.441279
2021-09-24 06:05:45.113551 : Epoch  3, Batch    812, Loss  1.445926, Average Loss  1.449073, Time  0.436953
2021-09-24 06:05:49.205903 : Epoch  3, Batch    767, Loss  1.458048, Average Loss  1.450818, Time  0.454629
2021-09-24 06:05:50.753066 : Epoch  3, Batch    813, Loss  1.438749, Average Loss  1.449055, Time  0.437422
2021-09-24 06:05:54.857968 : Epoch  3, Batch    768, Loss  1.444719, Average Loss  1.450744, Time  0.442270
2021-09-24 06:05:56.420733 : Epoch  3, Batch    814, Loss  1.457155, Average Loss  1.449083, Time  0.436606
2021-09-24 06:06:00.462320 : Epoch  3, Batch    769, Loss  1.456100, Average Loss  1.450794, Time  0.442961
2021-09-24 06:06:02.041639 : Epoch  3, Batch    815, Loss  1.453660, Average Loss  1.449160, Time  0.439076
2021-09-24 06:06:06.073923 : Epoch  3, Batch    770, Loss  1.449579, Average Loss  1.450833, Time  0.442132
2021-09-24 06:06:07.621892 : Epoch  3, Batch    816, Loss  1.461945, Average Loss  1.449273, Time  0.437389
2021-09-24 06:06:11.690261 : Epoch  3, Batch    771, Loss  1.447877, Average Loss  1.450812, Time  0.441076
2021-09-24 06:06:13.228888 : Epoch  3, Batch    817, Loss  1.447541, Average Loss  1.449271, Time  0.438206
2021-09-24 06:06:17.398050 : Epoch  3, Batch    772, Loss  1.453392, Average Loss  1.450786, Time  0.442365
2021-09-24 06:06:18.956730 : Epoch  3, Batch    818, Loss  1.446718, Average Loss  1.449186, Time  0.443702
2021-09-24 06:06:23.057492 : Epoch  3, Batch    773, Loss  1.463210, Average Loss  1.450860, Time  0.443043
2021-09-24 06:06:24.613891 : Epoch  3, Batch    819, Loss  1.453181, Average Loss  1.449196, Time  0.440706
2021-09-24 06:06:28.741664 : Epoch  3, Batch    774, Loss  1.450423, Average Loss  1.450892, Time  0.441721
2021-09-24 06:06:30.272799 : Epoch  3, Batch    820, Loss  1.452584, Average Loss  1.449206, Time  0.437699
2021-09-24 06:06:34.382579 : Epoch  3, Batch    775, Loss  1.449886, Average Loss  1.450875, Time  0.453616
2021-09-24 06:06:35.924412 : Epoch  3, Batch    821, Loss  1.441606, Average Loss  1.449116, Time  0.438034
2021-09-24 06:06:40.015911 : Epoch  3, Batch    776, Loss  1.448794, Average Loss  1.450805, Time  0.441476
2021-09-24 06:06:41.519638 : Epoch  3, Batch    822, Loss  1.458159, Average Loss  1.449231, Time  0.437170
2021-09-24 06:06:45.636927 : Epoch  3, Batch    777, Loss  1.457059, Average Loss  1.450903, Time  0.441764
2021-09-24 06:06:47.148857 : Epoch  3, Batch    823, Loss  1.448169, Average Loss  1.449141, Time  0.438182
2021-09-24 06:06:51.254792 : Epoch  3, Batch    778, Loss  1.455759, Average Loss  1.450958, Time  0.441712
2021-09-24 06:06:52.767556 : Epoch  3, Batch    824, Loss  1.440546, Average Loss  1.449124, Time  0.436793
2021-09-24 06:06:56.878234 : Epoch  3, Batch    779, Loss  1.461435, Average Loss  1.451072, Time  0.442753
2021-09-24 06:06:58.399083 : Epoch  3, Batch    825, Loss  1.428107, Average Loss  1.449012, Time  0.437230
2021-09-24 06:07:02.485025 : Epoch  3, Batch    780, Loss  1.436094, Average Loss  1.450999, Time  0.441233
2021-09-24 06:07:04.008727 : Epoch  3, Batch    826, Loss  1.435498, Average Loss  1.448973, Time  0.449022
2021-09-24 06:07:08.195852 : Epoch  3, Batch    781, Loss  1.443898, Average Loss  1.450977, Time  0.441087
2021-09-24 06:07:09.690732 : Epoch  3, Batch    827, Loss  1.457210, Average Loss  1.449151, Time  0.436855
2021-09-24 06:07:13.887329 : Epoch  3, Batch    782, Loss  1.437938, Average Loss  1.450968, Time  0.442307
2021-09-24 06:07:15.404943 : Epoch  3, Batch    828, Loss  1.455147, Average Loss  1.449174, Time  0.437442
2021-09-24 06:07:19.510964 : Epoch  3, Batch    783, Loss  1.461941, Average Loss  1.451065, Time  0.450770
2021-09-24 06:07:21.029838 : Epoch  3, Batch    829, Loss  1.433741, Average Loss  1.449075, Time  0.437393
2021-09-24 06:07:25.144262 : Epoch  3, Batch    784, Loss  1.451751, Average Loss  1.451117, Time  0.441402
2021-09-24 06:07:26.644437 : Epoch  3, Batch    830, Loss  1.449967, Average Loss  1.449118, Time  0.436617
2021-09-24 06:07:30.734827 : Epoch  3, Batch    785, Loss  1.461513, Average Loss  1.451131, Time  0.441322
2021-09-24 06:07:32.249327 : Epoch  3, Batch    831, Loss  1.458842, Average Loss  1.449171, Time  0.437332
2021-09-24 06:07:36.342936 : Epoch  3, Batch    786, Loss  1.449991, Average Loss  1.451048, Time  0.441907
2021-09-24 06:07:37.844759 : Epoch  3, Batch    832, Loss  1.444546, Average Loss  1.449173, Time  0.437774
2021-09-24 06:07:42.024368 : Epoch  3, Batch    787, Loss  1.448989, Average Loss  1.451008, Time  0.443388
2021-09-24 06:07:43.572068 : Epoch  3, Batch    833, Loss  1.453562, Average Loss  1.449178, Time  0.437068
2021-09-24 06:07:47.690101 : Epoch  3, Batch    788, Loss  1.452766, Average Loss  1.450987, Time  0.441062
2021-09-24 06:07:49.246430 : Epoch  3, Batch    834, Loss  1.465021, Average Loss  1.449255, Time  0.454266
2021-09-24 06:07:53.542538 : Epoch  3, Batch    789, Loss  1.448398, Average Loss  1.450983, Time  0.444800
2021-09-24 06:07:55.165722 : Epoch  3, Batch    835, Loss  1.446174, Average Loss  1.449228, Time  0.441397
2021-09-24 06:07:59.459239 : Epoch  3, Batch    790, Loss  1.455997, Average Loss  1.451034, Time  0.447518
2021-09-24 06:08:01.080503 : Epoch  3, Batch    836, Loss  1.454262, Average Loss  1.449291, Time  0.437789
2021-09-24 06:08:05.436345 : Epoch  3, Batch    791, Loss  1.442457, Average Loss  1.451019, Time  0.460088
2021-09-24 06:08:07.001309 : Epoch  3, Batch    837, Loss  1.451827, Average Loss  1.449271, Time  0.440021
2021-09-24 06:08:11.360485 : Epoch  3, Batch    792, Loss  1.448876, Average Loss  1.451008, Time  0.446316
2021-09-24 06:08:12.947857 : Epoch  3, Batch    838, Loss  1.448280, Average Loss  1.449228, Time  0.439609
2021-09-24 06:08:17.284744 : Epoch  3, Batch    793, Loss  1.459826, Average Loss  1.451027, Time  0.443517
2021-09-24 06:08:18.865360 : Epoch  3, Batch    839, Loss  1.451946, Average Loss  1.449215, Time  0.438920
2021-09-24 06:08:23.200486 : Epoch  3, Batch    794, Loss  1.452767, Average Loss  1.451042, Time  0.443003
2021-09-24 06:08:24.800577 : Epoch  3, Batch    840, Loss  1.446851, Average Loss  1.449163, Time  0.440049
2021-09-24 06:08:29.110668 : Epoch  3, Batch    795, Loss  1.446362, Average Loss  1.451020, Time  0.445832
2021-09-24 06:08:30.727667 : Epoch  3, Batch    841, Loss  1.456470, Average Loss  1.449179, Time  0.441458
2021-09-24 06:08:35.019639 : Epoch  3, Batch    796, Loss  1.448024, Average Loss  1.451017, Time  0.444227
2021-09-24 06:08:36.660201 : Epoch  3, Batch    842, Loss  1.449684, Average Loss  1.449177, Time  0.445733
2021-09-24 06:08:40.954128 : Epoch  3, Batch    797, Loss  1.441990, Average Loss  1.450994, Time  0.445091
2021-09-24 06:08:42.576149 : Epoch  3, Batch    843, Loss  1.439707, Average Loss  1.449126, Time  0.439084
2021-09-24 06:08:46.872613 : Epoch  3, Batch    798, Loss  1.448761, Average Loss  1.450967, Time  0.444006
2021-09-24 06:08:48.482652 : Epoch  3, Batch    844, Loss  1.452364, Average Loss  1.449122, Time  0.438119
2021-09-24 06:08:52.832236 : Epoch  3, Batch    799, Loss  1.442715, Average Loss  1.450914, Time  0.462515
2021-09-24 06:08:58.741050 : Epoch  3, Batch    800, Loss  1.456176, Average Loss  1.450956, Time  0.443092
2021-09-24 06:09:04.656777 : Epoch  3, Batch    801, Loss  1.434449, Average Loss  1.450874, Time  0.443215
2021-09-24 06:09:10.570810 : Epoch  3, Batch    802, Loss  1.448893, Average Loss  1.450828, Time  0.443308
2021-09-24 06:09:16.500745 : Epoch  3, Batch    803, Loss  1.455353, Average Loss  1.450816, Time  0.445157
2021-09-24 06:09:22.434881 : Epoch  3, Batch    804, Loss  1.447699, Average Loss  1.450776, Time  0.444757
2021-09-24 06:09:28.372958 : Epoch  3, Batch    805, Loss  1.451499, Average Loss  1.450694, Time  0.444367
2021-09-24 06:09:34.290756 : Epoch  3, Batch    806, Loss  1.443755, Average Loss  1.450593, Time  0.458464
2021-09-24 06:09:40.202245 : Epoch  3, Batch    807, Loss  1.441050, Average Loss  1.450605, Time  0.444296
2021-09-24 06:09:46.152439 : Epoch  3, Batch    808, Loss  1.453577, Average Loss  1.450650, Time  0.443555
2021-09-24 06:09:52.069969 : Epoch  3, Batch    809, Loss  1.453510, Average Loss  1.450692, Time  0.443916
2021-09-24 06:09:57.998870 : Epoch  3, Batch    810, Loss  1.449603, Average Loss  1.450654, Time  0.444323
2021-09-24 06:10:03.941842 : Epoch  3, Batch    811, Loss  1.454375, Average Loss  1.450676, Time  0.443064
2021-09-24 06:10:09.885357 : Epoch  3, Batch    812, Loss  1.429932, Average Loss  1.450608, Time  0.446910
2021-09-24 06:10:15.822151 : Epoch  3, Batch    813, Loss  1.448101, Average Loss  1.450544, Time  0.447368
2021-09-24 06:10:21.758888 : Epoch  3, Batch    814, Loss  1.452017, Average Loss  1.450519, Time  0.457405
2021-09-24 06:10:27.672393 : Epoch  3, Batch    815, Loss  1.440647, Average Loss  1.450476, Time  0.445572
2021-09-24 06:10:33.595907 : Epoch  3, Batch    816, Loss  1.441966, Average Loss  1.450403, Time  0.445258
2021-09-24 06:10:39.528799 : Epoch  3, Batch    817, Loss  1.462118, Average Loss  1.450431, Time  0.444276
2021-09-24 06:10:45.450379 : Epoch  3, Batch    818, Loss  1.444677, Average Loss  1.450444, Time  0.446826
2021-09-24 06:10:51.375300 : Epoch  3, Batch    819, Loss  1.445636, Average Loss  1.450380, Time  0.444756
2021-09-24 06:10:57.309449 : Epoch  3, Batch    820, Loss  1.462146, Average Loss  1.450434, Time  0.449896
2021-09-24 06:11:03.232349 : Epoch  3, Batch    821, Loss  1.443558, Average Loss  1.450385, Time  0.445354
2021-09-24 06:11:09.165155 : Epoch  3, Batch    822, Loss  1.466748, Average Loss  1.450438, Time  0.451278
2021-09-24 06:11:15.102884 : Epoch  3, Batch    823, Loss  1.455865, Average Loss  1.450465, Time  0.445535
2021-09-24 06:11:21.034628 : Epoch  3, Batch    824, Loss  1.450221, Average Loss  1.450514, Time  0.447955
2021-09-24 06:11:26.961041 : Epoch  3, Batch    825, Loss  1.438069, Average Loss  1.450478, Time  0.444886
2021-09-24 06:11:32.883284 : Epoch  3, Batch    826, Loss  1.432912, Average Loss  1.450376, Time  0.445843
2021-09-24 06:11:38.813176 : Epoch  3, Batch    827, Loss  1.444060, Average Loss  1.450303, Time  0.445236
2021-09-24 06:11:44.724844 : Epoch  3, Batch    828, Loss  1.447787, Average Loss  1.450238, Time  0.443899
2021-09-24 06:11:50.649871 : Epoch  3, Batch    829, Loss  1.463012, Average Loss  1.450259, Time  0.447230
2021-09-24 06:11:56.589389 : Epoch  3, Batch    830, Loss  1.437872, Average Loss  1.450187, Time  0.455163
2021-09-24 06:12:02.512017 : Epoch  3, Batch    831, Loss  1.452682, Average Loss  1.450225, Time  0.444515
2021-09-24 06:12:08.445101 : Epoch  3, Batch    832, Loss  1.444201, Average Loss  1.450213, Time  0.446170
2021-09-24 06:12:14.359273 : Epoch  3, Batch    833, Loss  1.446025, Average Loss  1.450087, Time  0.443792
2021-09-24 06:12:20.291569 : Epoch  3, Batch    834, Loss  1.436765, Average Loss  1.450036, Time  0.443601
2021-09-24 06:12:26.212649 : Epoch  3, Batch    835, Loss  1.440006, Average Loss  1.450090, Time  0.443736
2021-09-24 06:12:32.144733 : Epoch  3, Batch    836, Loss  1.451001, Average Loss  1.450132, Time  0.444842
2021-09-24 06:12:38.069378 : Epoch  3, Batch    837, Loss  1.449492, Average Loss  1.450108, Time  0.443849
2021-09-24 06:12:44.017802 : Epoch  3, Batch    838, Loss  1.456299, Average Loss  1.450186, Time  0.459930
2021-09-24 06:12:49.940199 : Epoch  3, Batch    839, Loss  1.451532, Average Loss  1.450194, Time  0.444055
2021-09-24 06:12:55.853803 : Epoch  3, Batch    840, Loss  1.445982, Average Loss  1.450189, Time  0.443001
2021-09-24 06:13:01.782808 : Epoch  3, Batch    841, Loss  1.448934, Average Loss  1.450229, Time  0.448675
2021-09-24 06:13:07.704116 : Epoch  3, Batch    842, Loss  1.452978, Average Loss  1.450266, Time  0.444987
2021-09-24 06:13:13.641221 : Epoch  3, Batch    843, Loss  1.450168, Average Loss  1.450378, Time  0.445735
2021-09-24 06:13:19.570936 : Epoch  3, Batch    844, Loss  1.446894, Average Loss  1.450326, Time  0.444060
2021-09-24 06:13:25.692650 : CheckPoint: Validation Loss  0.00024781, Best Loss  0.00024726
2021-09-24 06:13:31.628864 : Epoch  3, Batch    845, Loss  1.463878, Average Loss  1.449215, Time  0.439389
2021-09-24 06:13:37.552757 : Epoch  3, Batch    846, Loss  1.444348, Average Loss  1.449156, Time  0.438294
2021-09-24 06:13:43.477128 : Epoch  3, Batch    847, Loss  1.452211, Average Loss  1.449224, Time  0.439408
2021-09-24 06:13:49.423772 : Epoch  3, Batch    848, Loss  1.451203, Average Loss  1.449275, Time  0.442607
2021-09-24 06:13:55.374325 : Epoch  3, Batch    849, Loss  1.450356, Average Loss  1.449270, Time  0.456369
2021-09-24 06:14:01.320203 : Epoch  3, Batch    850, Loss  1.458542, Average Loss  1.449318, Time  0.439191
2021-09-24 06:14:07.273975 : Epoch  3, Batch    851, Loss  1.455973, Average Loss  1.449329, Time  0.442060
2021-09-24 06:14:13.210386 : Epoch  3, Batch    852, Loss  1.459997, Average Loss  1.449388, Time  0.439850
2021-09-24 06:14:19.154870 : Epoch  3, Batch    853, Loss  1.436307, Average Loss  1.449346, Time  0.439933
2021-09-24 06:14:25.088188 : Epoch  3, Batch    854, Loss  1.457803, Average Loss  1.449317, Time  0.438451
2021-09-24 06:14:31.028449 : Epoch  3, Batch    855, Loss  1.439993, Average Loss  1.449280, Time  0.438215
2021-09-24 06:14:36.961915 : Epoch  3, Batch    856, Loss  1.440178, Average Loss  1.449271, Time  0.438492
2021-09-24 06:14:42.918494 : Epoch  3, Batch    857, Loss  1.452092, Average Loss  1.449237, Time  0.450687
2021-09-24 06:14:48.859775 : Epoch  3, Batch    858, Loss  1.440865, Average Loss  1.449194, Time  0.439512
2021-09-24 06:14:54.789250 : Epoch  3, Batch    859, Loss  1.446756, Average Loss  1.449214, Time  0.438700
2021-09-24 06:15:00.717694 : Epoch  3, Batch    860, Loss  1.451954, Average Loss  1.449214, Time  0.440451
2021-09-24 06:15:06.673574 : Epoch  3, Batch    861, Loss  1.441423, Average Loss  1.449197, Time  0.441271
2021-09-24 06:15:12.614624 : Epoch  3, Batch    862, Loss  1.441507, Average Loss  1.449072, Time  0.439629
2021-09-24 06:15:18.545540 : Epoch  3, Batch    863, Loss  1.444808, Average Loss  1.449038, Time  0.440472
2021-09-24 06:15:24.474562 : Epoch  3, Batch    864, Loss  1.449103, Average Loss  1.449025, Time  0.441442
2021-09-24 06:15:30.420793 : Epoch  3, Batch    865, Loss  1.447200, Average Loss  1.448998, Time  0.452303
2021-09-24 06:15:36.362338 : Epoch  3, Batch    866, Loss  1.445127, Average Loss  1.448997, Time  0.439791
2021-09-24 06:15:42.307538 : Epoch  3, Batch    867, Loss  1.444965, Average Loss  1.448955, Time  0.439788
2021-09-24 06:15:48.240421 : Epoch  3, Batch    868, Loss  1.451576, Average Loss  1.448947, Time  0.442042
2021-09-24 06:15:54.189647 : Epoch  3, Batch    869, Loss  1.441192, Average Loss  1.448875, Time  0.440159
2021-09-24 06:16:00.118839 : Epoch  3, Batch    870, Loss  1.447251, Average Loss  1.448890, Time  0.439954
2021-09-24 06:16:06.061602 : Epoch  3, Batch    871, Loss  1.453241, Average Loss  1.448866, Time  0.438754
2021-09-24 06:16:12.007854 : Epoch  3, Batch    872, Loss  1.449169, Average Loss  1.448851, Time  0.449808
2021-09-24 06:16:17.972115 : Epoch  3, Batch    873, Loss  1.442428, Average Loss  1.448823, Time  0.439326
2021-09-24 06:16:23.931592 : Epoch  3, Batch    874, Loss  1.460936, Average Loss  1.448877, Time  0.446361
2021-09-24 06:16:29.868675 : Epoch  3, Batch    875, Loss  1.443774, Average Loss  1.448757, Time  0.439557
2021-09-24 06:16:35.845590 : Epoch  3, Batch    876, Loss  1.447410, Average Loss  1.448693, Time  0.439126
2021-09-24 06:16:41.773304 : Epoch  3, Batch    877, Loss  1.438426, Average Loss  1.448635, Time  0.438216
2021-09-24 06:16:47.716429 : Epoch  3, Batch    878, Loss  1.449564, Average Loss  1.448673, Time  0.442919
2021-09-24 06:16:53.667902 : Epoch  3, Batch    879, Loss  1.444158, Average Loss  1.448617, Time  0.438967
2021-09-24 06:16:59.628041 : Epoch  3, Batch    880, Loss  1.449883, Average Loss  1.448567, Time  0.450873
2021-09-24 06:17:05.581794 : Epoch  3, Batch    881, Loss  1.451528, Average Loss  1.448586, Time  0.443049
2021-09-24 06:17:11.512512 : Epoch  3, Batch    882, Loss  1.453761, Average Loss  1.448657, Time  0.442147
2021-09-24 06:17:17.448394 : Epoch  3, Batch    883, Loss  1.448486, Average Loss  1.448658, Time  0.440721
2021-09-24 06:17:23.401881 : Epoch  3, Batch    884, Loss  1.449574, Average Loss  1.448652, Time  0.439896
2021-09-24 06:17:29.343363 : Epoch  3, Batch    885, Loss  1.446446, Average Loss  1.448668, Time  0.438826
2021-09-24 06:17:35.260144 : Epoch  3, Batch    886, Loss  1.454353, Average Loss  1.448667, Time  0.442367
2021-09-24 06:17:41.186140 : Epoch  3, Batch    887, Loss  1.449829, Average Loss  1.448695, Time  0.440764
2021-09-24 06:17:47.136759 : Epoch  3, Batch    888, Loss  1.453590, Average Loss  1.448705, Time  0.450669
2021-09-24 06:17:53.066812 : Epoch  3, Batch    889, Loss  1.453627, Average Loss  1.448653, Time  0.439044
2021-09-24 06:17:57.255376 : CheckPoint: Validation Loss  0.00025089, Best Loss  0.00024587
2021-09-24 06:17:58.999291 : Epoch  3, Batch    890, Loss  1.432031, Average Loss  1.448626, Time  0.439344
2021-09-24 06:18:03.174425 : Epoch  3, Batch    845, Loss  1.459372, Average Loss  1.450363, Time  0.445231
2021-09-24 06:18:04.931390 : Epoch  3, Batch    891, Loss  1.449683, Average Loss  1.448658, Time  0.438611
2021-09-24 06:18:09.099579 : Epoch  3, Batch    846, Loss  1.453891, Average Loss  1.450402, Time  0.452093
2021-09-24 06:18:10.873483 : Epoch  3, Batch    892, Loss  1.447367, Average Loss  1.448681, Time  0.440761
2021-09-24 06:18:15.027956 : Epoch  3, Batch    847, Loss  1.450379, Average Loss  1.450439, Time  0.445167
2021-09-24 06:18:16.808107 : Epoch  3, Batch    893, Loss  1.454374, Average Loss  1.448706, Time  0.438850
2021-09-24 06:18:20.950059 : Epoch  3, Batch    848, Loss  1.445098, Average Loss  1.450462, Time  0.445113
2021-09-24 06:18:22.747903 : Epoch  3, Batch    894, Loss  1.454416, Average Loss  1.448724, Time  0.438251
2021-09-24 06:18:26.876157 : Epoch  3, Batch    849, Loss  1.446172, Average Loss  1.450451, Time  0.443579
2021-09-24 06:18:28.691719 : Epoch  3, Batch    895, Loss  1.455048, Average Loss  1.448736, Time  0.443113
2021-09-24 06:18:32.805244 : Epoch  3, Batch    850, Loss  1.448594, Average Loss  1.450418, Time  0.447784
2021-09-24 06:18:34.619368 : Epoch  3, Batch    896, Loss  1.461049, Average Loss  1.448796, Time  0.448395
2021-09-24 06:18:38.728980 : Epoch  3, Batch    851, Loss  1.449104, Average Loss  1.450413, Time  0.445049
2021-09-24 06:18:40.547854 : Epoch  3, Batch    897, Loss  1.457309, Average Loss  1.448846, Time  0.438724
2021-09-24 06:18:44.651654 : Epoch  3, Batch    852, Loss  1.455878, Average Loss  1.450452, Time  0.443066
2021-09-24 06:18:46.491366 : Epoch  3, Batch    898, Loss  1.460183, Average Loss  1.448850, Time  0.440403
2021-09-24 06:18:50.568750 : Epoch  3, Batch    853, Loss  1.439195, Average Loss  1.450391, Time  0.443686
2021-09-24 06:18:52.400354 : Epoch  3, Batch    899, Loss  1.458777, Average Loss  1.448890, Time  0.439884
2021-09-24 06:18:56.507079 : Epoch  3, Batch    854, Loss  1.453695, Average Loss  1.450382, Time  0.457070
2021-09-24 06:18:58.324102 : Epoch  3, Batch    900, Loss  1.446752, Average Loss  1.448847, Time  0.440624
2021-09-24 06:19:02.438795 : Epoch  3, Batch    855, Loss  1.448972, Average Loss  1.450391, Time  0.443256
2021-09-24 06:19:02.719031 : Epoch  3, Batch    901, Loss  1.459403, Average Loss  1.448918, Time  0.342206
2021-09-24 06:19:08.360487 : Epoch  3, Batch    856, Loss  1.453169, Average Loss  1.450405, Time  0.446623
2021-09-24 06:19:08.652964 : Epoch  3, Batch    902, Loss  1.454666, Average Loss  1.448938, Time  0.442373
2021-09-24 06:19:14.287899 : Epoch  3, Batch    857, Loss  1.449669, Average Loss  1.450432, Time  0.444464
2021-09-24 06:19:14.588266 : Epoch  3, Batch    903, Loss  1.450293, Average Loss  1.448933, Time  0.439907
2021-09-24 06:19:20.224803 : Epoch  3, Batch    858, Loss  1.463049, Average Loss  1.450570, Time  0.444131
2021-09-24 06:19:20.536245 : Epoch  3, Batch    904, Loss  1.448514, Average Loss  1.448950, Time  0.451005
2021-09-24 06:19:26.154588 : Epoch  3, Batch    859, Loss  1.442101, Average Loss  1.450551, Time  0.442849
2021-09-24 06:19:26.459719 : Epoch  3, Batch    905, Loss  1.447820, Average Loss  1.448841, Time  0.441793
2021-09-24 06:19:32.104401 : Epoch  3, Batch    860, Loss  1.447216, Average Loss  1.450581, Time  0.445423
2021-09-24 06:19:32.391715 : Epoch  3, Batch    906, Loss  1.450903, Average Loss  1.448792, Time  0.440576
2021-09-24 06:19:38.025096 : Epoch  3, Batch    861, Loss  1.446552, Average Loss  1.450530, Time  0.445078
2021-09-24 06:19:38.306453 : Epoch  3, Batch    907, Loss  1.441373, Average Loss  1.448771, Time  0.439366
2021-09-24 06:19:43.976669 : Epoch  3, Batch    862, Loss  1.449794, Average Loss  1.450543, Time  0.456495
2021-09-24 06:19:44.218179 : Epoch  3, Batch    908, Loss  1.456587, Average Loss  1.448845, Time  0.438637
2021-09-24 06:19:49.915498 : Epoch  3, Batch    863, Loss  1.443558, Average Loss  1.450501, Time  0.444154
2021-09-24 06:19:50.149974 : Epoch  3, Batch    909, Loss  1.442430, Average Loss  1.448839, Time  0.440814
2021-09-24 06:19:55.858573 : Epoch  3, Batch    864, Loss  1.453554, Average Loss  1.450494, Time  0.445909
2021-09-24 06:19:56.081857 : Epoch  3, Batch    910, Loss  1.429714, Average Loss  1.448718, Time  0.439526
2021-09-24 06:20:01.799724 : Epoch  3, Batch    865, Loss  1.461478, Average Loss  1.450545, Time  0.446421
2021-09-24 06:20:02.012607 : Epoch  3, Batch    911, Loss  1.437219, Average Loss  1.448677, Time  0.438923
2021-09-24 06:20:07.737249 : Epoch  3, Batch    866, Loss  1.447889, Average Loss  1.450482, Time  0.451210
2021-09-24 06:20:07.949888 : Epoch  3, Batch    912, Loss  1.455275, Average Loss  1.448694, Time  0.451818
2021-09-24 06:20:13.677937 : Epoch  3, Batch    867, Loss  1.444641, Average Loss  1.450390, Time  0.444182
2021-09-24 06:20:13.869189 : Epoch  3, Batch    913, Loss  1.447158, Average Loss  1.448727, Time  0.439107
2021-09-24 06:20:19.613916 : Epoch  3, Batch    868, Loss  1.452052, Average Loss  1.450400, Time  0.445124
2021-09-24 06:20:19.788807 : Epoch  3, Batch    914, Loss  1.444862, Average Loss  1.448695, Time  0.441746
2021-09-24 06:20:25.544822 : Epoch  3, Batch    869, Loss  1.437972, Average Loss  1.450465, Time  0.444026
2021-09-24 06:20:25.718911 : Epoch  3, Batch    915, Loss  1.453217, Average Loss  1.448759, Time  0.439701
2021-09-24 06:20:31.499839 : Epoch  3, Batch    870, Loss  1.447663, Average Loss  1.450404, Time  0.452651
2021-09-24 06:20:31.637209 : Epoch  3, Batch    916, Loss  1.446411, Average Loss  1.448770, Time  0.441011
2021-09-24 06:20:37.431976 : Epoch  3, Batch    871, Loss  1.444162, Average Loss  1.450376, Time  0.445531
2021-09-24 06:20:37.575863 : Epoch  3, Batch    917, Loss  1.450408, Average Loss  1.448830, Time  0.441316
2021-09-24 06:20:43.357449 : Epoch  3, Batch    872, Loss  1.457649, Average Loss  1.450392, Time  0.443606
2021-09-24 06:20:43.496164 : Epoch  3, Batch    918, Loss  1.441680, Average Loss  1.448794, Time  0.438576
2021-09-24 06:20:49.306463 : Epoch  3, Batch    873, Loss  1.439744, Average Loss  1.450366, Time  0.444118
2021-09-24 06:20:49.438901 : Epoch  3, Batch    919, Loss  1.454408, Average Loss  1.448830, Time  0.439422
2021-09-24 06:20:55.269176 : Epoch  3, Batch    874, Loss  1.448265, Average Loss  1.450295, Time  0.444363
2021-09-24 06:20:55.385780 : Epoch  3, Batch    920, Loss  1.447987, Average Loss  1.448836, Time  0.453549
2021-09-24 06:21:01.216238 : Epoch  3, Batch    875, Loss  1.454151, Average Loss  1.450295, Time  0.451667
2021-09-24 06:21:01.309483 : Epoch  3, Batch    921, Loss  1.448611, Average Loss  1.448862, Time  0.438701
2021-09-24 06:21:07.130844 : Epoch  3, Batch    876, Loss  1.447836, Average Loss  1.450315, Time  0.446692
2021-09-24 06:21:07.233900 : Epoch  3, Batch    922, Loss  1.453275, Average Loss  1.448921, Time  0.438734
2021-09-24 06:21:13.044148 : Epoch  3, Batch    877, Loss  1.437088, Average Loss  1.450192, Time  0.444272
2021-09-24 06:21:13.146808 : Epoch  3, Batch    923, Loss  1.450312, Average Loss  1.448940, Time  0.441553
2021-09-24 06:21:19.004822 : Epoch  3, Batch    878, Loss  1.448353, Average Loss  1.450199, Time  0.460799
2021-09-24 06:21:19.080839 : Epoch  3, Batch    924, Loss  1.441666, Average Loss  1.448948, Time  0.441347
2021-09-24 06:21:24.924972 : Epoch  3, Batch    879, Loss  1.445201, Average Loss  1.450123, Time  0.444319
2021-09-24 06:21:24.999401 : Epoch  3, Batch    925, Loss  1.451056, Average Loss  1.448975, Time  0.440861
2021-09-24 06:21:30.873707 : Epoch  3, Batch    880, Loss  1.445088, Average Loss  1.450090, Time  0.446224
2021-09-24 06:21:30.938035 : Epoch  3, Batch    926, Loss  1.452281, Average Loss  1.449001, Time  0.439762
2021-09-24 06:21:36.789498 : Epoch  3, Batch    881, Loss  1.451762, Average Loss  1.450109, Time  0.444759
2021-09-24 06:21:36.882574 : Epoch  3, Batch    927, Loss  1.442086, Average Loss  1.449014, Time  0.451816
2021-09-24 06:21:42.737840 : Epoch  3, Batch    882, Loss  1.448689, Average Loss  1.450117, Time  0.444527
2021-09-24 06:21:42.829828 : Epoch  3, Batch    928, Loss  1.449322, Average Loss  1.449066, Time  0.439546
2021-09-24 06:21:42.868760 : Saving Model after 3-th Epoch.
2021-09-24 06:21:43.635674 : Epoch Finished.
2021-09-24 06:21:48.689444 : Epoch  3, Batch    883, Loss  1.445408, Average Loss  1.450117, Time  0.446756
2021-09-24 06:21:49.227301 : Batch Shuffled
2021-09-24 06:21:54.623858 : Epoch  3, Batch    884, Loss  1.442397, Average Loss  1.450013, Time  0.446744
2021-09-24 06:21:55.171116 : Epoch  4, Batch      1, Loss  1.441367, Average Loss  1.449003, Time  0.447408
2021-09-24 06:22:00.549225 : Epoch  3, Batch    885, Loss  1.445222, Average Loss  1.450024, Time  0.443448
2021-09-24 06:22:01.111980 : Epoch  4, Batch      2, Loss  1.446946, Average Loss  1.448962, Time  0.439469
2021-09-24 06:22:06.489868 : Epoch  3, Batch    886, Loss  1.445806, Average Loss  1.450005, Time  0.458795
2021-09-24 06:22:07.023486 : Epoch  4, Batch      3, Loss  1.452462, Average Loss  1.448969, Time  0.439578
2021-09-24 06:22:12.443472 : Epoch  3, Batch    887, Loss  1.443283, Average Loss  1.449959, Time  0.444457
2021-09-24 06:22:12.936531 : Epoch  4, Batch      4, Loss  1.455671, Average Loss  1.448992, Time  0.442557
2021-09-24 06:22:18.387015 : Epoch  3, Batch    888, Loss  1.445098, Average Loss  1.449918, Time  0.449606
2021-09-24 06:22:18.853711 : Epoch  4, Batch      5, Loss  1.447178, Average Loss  1.448962, Time  0.438603
2021-09-24 06:22:24.308946 : Epoch  3, Batch    889, Loss  1.450597, Average Loss  1.449929, Time  0.444941
2021-09-24 06:22:24.794534 : Epoch  4, Batch      6, Loss  1.438787, Average Loss  1.448904, Time  0.453475
2021-09-24 06:22:30.228650 : Epoch  3, Batch    890, Loss  1.448585, Average Loss  1.449900, Time  0.442323
2021-09-24 06:22:30.724731 : Epoch  4, Batch      7, Loss  1.449471, Average Loss  1.448896, Time  0.438385
2021-09-24 06:22:36.149349 : Epoch  3, Batch    891, Loss  1.443415, Average Loss  1.449857, Time  0.448902
2021-09-24 06:22:36.648624 : Epoch  4, Batch      8, Loss  1.457212, Average Loss  1.448909, Time  0.442242
2021-09-24 06:22:42.071412 : Epoch  3, Batch    892, Loss  1.445618, Average Loss  1.449826, Time  0.446287
2021-09-24 06:22:42.570001 : Epoch  4, Batch      9, Loss  1.445630, Average Loss  1.448960, Time  0.439265
2021-09-24 06:22:48.014602 : Epoch  3, Batch    893, Loss  1.451111, Average Loss  1.449851, Time  0.442993
2021-09-24 06:22:48.497864 : Epoch  4, Batch     10, Loss  1.459493, Average Loss  1.449031, Time  0.441558
2021-09-24 06:22:53.963826 : Epoch  3, Batch    894, Loss  1.444436, Average Loss  1.449814, Time  0.462064
2021-09-24 06:22:54.419168 : Epoch  4, Batch     11, Loss  1.453404, Average Loss  1.449062, Time  0.438899
2021-09-24 06:22:59.885904 : Epoch  3, Batch    895, Loss  1.444993, Average Loss  1.449824, Time  0.444174
2021-09-24 06:23:00.331037 : Epoch  4, Batch     12, Loss  1.449867, Average Loss  1.449118, Time  0.439338
2021-09-24 06:23:05.824647 : Epoch  3, Batch    896, Loss  1.455240, Average Loss  1.449923, Time  0.445637
2021-09-24 06:23:06.249373 : Epoch  4, Batch     13, Loss  1.447936, Average Loss  1.449085, Time  0.440130
2021-09-24 06:23:11.765475 : Epoch  3, Batch    897, Loss  1.451017, Average Loss  1.449858, Time  0.446503
2021-09-24 06:23:12.191944 : Epoch  4, Batch     14, Loss  1.453039, Average Loss  1.449115, Time  0.448163
2021-09-24 06:23:17.707077 : Epoch  3, Batch    898, Loss  1.431389, Average Loss  1.449871, Time  0.443997
2021-09-24 06:23:18.125566 : Epoch  4, Batch     15, Loss  1.458755, Average Loss  1.449197, Time  0.441753
2021-09-24 06:23:23.630658 : Epoch  3, Batch    899, Loss  1.434999, Average Loss  1.449743, Time  0.443218
2021-09-24 06:23:24.048124 : Epoch  4, Batch     16, Loss  1.449731, Average Loss  1.449175, Time  0.442205
2021-09-24 06:23:29.565497 : Epoch  3, Batch    900, Loss  1.441093, Average Loss  1.449714, Time  0.444268
2021-09-24 06:23:35.504865 : Epoch  3, Batch    901, Loss  1.442989, Average Loss  1.449653, Time  0.443908
2021-09-24 06:23:41.445846 : Epoch  3, Batch    902, Loss  1.435966, Average Loss  1.449517, Time  0.455541
2021-09-24 06:23:47.372751 : Epoch  3, Batch    903, Loss  1.453700, Average Loss  1.449486, Time  0.448837
2021-09-24 06:23:53.312832 : Epoch  3, Batch    904, Loss  1.452123, Average Loss  1.449481, Time  0.444709
2021-09-24 06:23:59.236504 : Epoch  3, Batch    905, Loss  1.456349, Average Loss  1.449523, Time  0.444634
2021-09-24 06:24:05.165751 : Epoch  3, Batch    906, Loss  1.445351, Average Loss  1.449499, Time  0.442835
2021-09-24 06:24:11.094112 : Epoch  3, Batch    907, Loss  1.453438, Average Loss  1.449464, Time  0.446738
2021-09-24 06:24:17.057494 : Epoch  3, Batch    908, Loss  1.443325, Average Loss  1.449398, Time  0.445590
2021-09-24 06:24:22.970314 : Epoch  3, Batch    909, Loss  1.451101, Average Loss  1.449424, Time  0.446125
2021-09-24 06:24:28.917397 : Epoch  3, Batch    910, Loss  1.438422, Average Loss  1.449366, Time  0.461461
2021-09-24 06:24:34.842329 : Epoch  3, Batch    911, Loss  1.444936, Average Loss  1.449328, Time  0.446743
2021-09-24 06:24:40.780334 : Epoch  3, Batch    912, Loss  1.454286, Average Loss  1.449408, Time  0.445237
2021-09-24 06:24:46.814883 : Epoch  3, Batch    913, Loss  1.452576, Average Loss  1.449387, Time  0.444793
2021-09-24 06:24:52.759430 : Epoch  3, Batch    914, Loss  1.431273, Average Loss  1.449295, Time  0.443634
2021-09-24 06:24:58.701892 : Epoch  3, Batch    915, Loss  1.444971, Average Loss  1.449233, Time  0.443575
2021-09-24 06:25:04.639787 : Epoch  3, Batch    916, Loss  1.449432, Average Loss  1.449243, Time  0.445244
2021-09-24 06:25:10.594296 : Epoch  3, Batch    917, Loss  1.452230, Average Loss  1.449247, Time  0.451246
2021-09-24 06:25:16.532089 : Epoch  3, Batch    918, Loss  1.452099, Average Loss  1.449237, Time  0.443311
2021-09-24 06:25:22.467501 : Epoch  3, Batch    919, Loss  1.448610, Average Loss  1.449198, Time  0.443807
2021-09-24 06:25:28.411557 : Epoch  3, Batch    920, Loss  1.448362, Average Loss  1.449239, Time  0.446191
2021-09-24 06:25:34.344594 : Epoch  3, Batch    921, Loss  1.448739, Average Loss  1.449198, Time  0.443949
2021-09-24 06:25:40.265417 : Epoch  3, Batch    922, Loss  1.446621, Average Loss  1.449139, Time  0.445982
2021-09-24 06:25:46.200969 : Epoch  3, Batch    923, Loss  1.440832, Average Loss  1.449048, Time  0.444607
2021-09-24 06:25:52.141185 : Epoch  3, Batch    924, Loss  1.439403, Average Loss  1.448972, Time  0.444720
2021-09-24 06:25:58.087466 : Epoch  3, Batch    925, Loss  1.447726, Average Loss  1.448943, Time  0.459118
2021-09-24 06:26:04.025979 : Epoch  3, Batch    926, Loss  1.452156, Average Loss  1.448950, Time  0.443538
2021-09-24 06:26:09.952325 : Epoch  3, Batch    927, Loss  1.443430, Average Loss  1.448955, Time  0.443660
2021-09-24 06:26:15.889497 : Epoch  3, Batch    928, Loss  1.453721, Average Loss  1.448879, Time  0.444567
2021-09-24 06:26:15.923396 : Saving Model after 3-th Epoch.
2021-09-24 06:26:16.816303 : Epoch Finished.
2021-09-24 06:26:22.325703 : Batch Shuffled
2021-09-24 06:26:28.266770 : Epoch  4, Batch      1, Loss  1.445141, Average Loss  1.448805, Time  0.443558
2021-09-24 06:26:34.186763 : Epoch  4, Batch      2, Loss  1.453501, Average Loss  1.448845, Time  0.444262
2021-09-24 06:26:40.120068 : Epoch  4, Batch      3, Loss  1.458084, Average Loss  1.448901, Time  0.444270
2021-09-24 06:26:46.076333 : Epoch  4, Batch      4, Loss  1.452117, Average Loss  1.448886, Time  0.458232
2021-09-24 06:26:52.038028 : Epoch  4, Batch      5, Loss  1.447032, Average Loss  1.448796, Time  0.447864
2021-09-24 06:26:57.988879 : Epoch  4, Batch      6, Loss  1.458868, Average Loss  1.448791, Time  0.444991
2021-09-24 06:27:03.919872 : Epoch  4, Batch      7, Loss  1.441219, Average Loss  1.448715, Time  0.443101
2021-09-24 06:27:09.854541 : Epoch  4, Batch      8, Loss  1.444372, Average Loss  1.448667, Time  0.448913
2021-09-24 06:27:15.804351 : Epoch  4, Batch      9, Loss  1.452705, Average Loss  1.448620, Time  0.444813
2021-09-24 06:27:21.743614 : Epoch  4, Batch     10, Loss  1.455576, Average Loss  1.448666, Time  0.444360
2021-09-24 06:27:27.667389 : Epoch  4, Batch     11, Loss  1.444677, Average Loss  1.448648, Time  0.443836
2021-09-24 06:27:33.632161 : Epoch  4, Batch     12, Loss  1.437667, Average Loss  1.448615, Time  0.461827
2021-09-24 06:27:39.570409 : Epoch  4, Batch     13, Loss  1.444188, Average Loss  1.448561, Time  0.444368
2021-09-24 06:27:45.506774 : Epoch  4, Batch     14, Loss  1.453386, Average Loss  1.448587, Time  0.443660
2021-09-24 06:27:51.456800 : Epoch  4, Batch     15, Loss  1.455151, Average Loss  1.448583, Time  0.444993
2021-09-24 06:27:57.420277 : Epoch  4, Batch     16, Loss  1.444081, Average Loss  1.448586, Time  0.445586
2021-09-24 06:28:02.689043 : CheckPoint: Validation Loss  0.00025359, Best Loss  0.00024726
2021-09-24 06:28:08.636933 : Epoch  4, Batch     17, Loss  1.448575, Average Loss  1.449160, Time  0.440933
2021-09-24 06:28:14.575292 : Epoch  4, Batch     18, Loss  1.453976, Average Loss  1.449120, Time  0.440589
2021-09-24 06:28:20.509287 : Epoch  4, Batch     19, Loss  1.453662, Average Loss  1.449061, Time  0.438281
2021-09-24 06:28:26.444860 : Epoch  4, Batch     20, Loss  1.443005, Average Loss  1.449026, Time  0.441909
2021-09-24 06:28:32.394100 : Epoch  4, Batch     21, Loss  1.448157, Average Loss  1.448946, Time  0.450012
2021-09-24 06:28:38.320029 : Epoch  4, Batch     22, Loss  1.439323, Average Loss  1.448874, Time  0.439055
2021-09-24 06:28:44.245273 : Epoch  4, Batch     23, Loss  1.451838, Average Loss  1.448883, Time  0.438014
2021-09-24 06:28:50.185802 : Epoch  4, Batch     24, Loss  1.444504, Average Loss  1.448854, Time  0.440753
2021-09-24 06:28:56.112874 : Epoch  4, Batch     25, Loss  1.447253, Average Loss  1.448813, Time  0.439644
2021-09-24 06:29:02.039005 : Epoch  4, Batch     26, Loss  1.447449, Average Loss  1.448830, Time  0.439376
2021-09-24 06:29:07.961780 : Epoch  4, Batch     27, Loss  1.460456, Average Loss  1.448918, Time  0.441448
2021-09-24 06:29:13.908907 : Epoch  4, Batch     28, Loss  1.449971, Average Loss  1.448923, Time  0.456331
2021-09-24 06:29:19.853642 : Epoch  4, Batch     29, Loss  1.438288, Average Loss  1.448856, Time  0.440768
2021-09-24 06:29:25.783933 : Epoch  4, Batch     30, Loss  1.452969, Average Loss  1.448854, Time  0.439810
2021-09-24 06:29:31.724721 : Epoch  4, Batch     31, Loss  1.447287, Average Loss  1.448858, Time  0.440602
2021-09-24 06:29:37.657763 : Epoch  4, Batch     32, Loss  1.449094, Average Loss  1.448900, Time  0.439441
2021-09-24 06:29:43.602627 : Epoch  4, Batch     33, Loss  1.447198, Average Loss  1.448918, Time  0.439340
2021-09-24 06:29:49.548455 : Epoch  4, Batch     34, Loss  1.448136, Average Loss  1.448928, Time  0.441240
2021-09-24 06:29:55.486464 : Epoch  4, Batch     35, Loss  1.450318, Average Loss  1.448940, Time  0.442206
2021-09-24 06:30:01.435183 : Epoch  4, Batch     36, Loss  1.443038, Average Loss  1.448972, Time  0.455369
2021-09-24 06:30:07.390054 : Epoch  4, Batch     37, Loss  1.457452, Average Loss  1.449054, Time  0.443160
2021-09-24 06:30:13.321768 : Epoch  4, Batch     38, Loss  1.445981, Average Loss  1.448964, Time  0.438007
2021-09-24 06:30:19.244830 : Epoch  4, Batch     39, Loss  1.455507, Average Loss  1.448976, Time  0.443341
2021-09-24 06:30:25.187704 : Epoch  4, Batch     40, Loss  1.456286, Average Loss  1.448974, Time  0.440955
2021-09-24 06:30:31.123752 : Epoch  4, Batch     41, Loss  1.446751, Average Loss  1.448950, Time  0.439986
2021-09-24 06:30:37.053820 : Epoch  4, Batch     42, Loss  1.443801, Average Loss  1.448880, Time  0.438531
2021-09-24 06:30:42.987821 : Epoch  4, Batch     43, Loss  1.454826, Average Loss  1.448875, Time  0.440780
2021-09-24 06:30:48.935511 : Epoch  4, Batch     44, Loss  1.450299, Average Loss  1.448845, Time  0.449794
2021-09-24 06:30:54.868323 : Epoch  4, Batch     45, Loss  1.438591, Average Loss  1.448845, Time  0.439729
2021-09-24 06:31:00.799108 : Epoch  4, Batch     46, Loss  1.450264, Average Loss  1.448810, Time  0.441627
2021-09-24 06:31:06.756662 : Epoch  4, Batch     47, Loss  1.450233, Average Loss  1.448799, Time  0.443231
2021-09-24 06:31:12.687557 : Epoch  4, Batch     48, Loss  1.433565, Average Loss  1.448742, Time  0.439213
2021-09-24 06:31:18.628167 : Epoch  4, Batch     49, Loss  1.445613, Average Loss  1.448816, Time  0.441152
2021-09-24 06:31:24.570320 : Epoch  4, Batch     50, Loss  1.450652, Average Loss  1.448757, Time  0.441214
2021-09-24 06:31:30.504300 : Epoch  4, Batch     51, Loss  1.446284, Average Loss  1.448707, Time  0.438609
2021-09-24 06:31:36.455892 : Epoch  4, Batch     52, Loss  1.447451, Average Loss  1.448655, Time  0.467956
2021-09-24 06:31:42.386840 : Epoch  4, Batch     53, Loss  1.461797, Average Loss  1.448730, Time  0.439864
2021-09-24 06:31:48.322403 : Epoch  4, Batch     54, Loss  1.439143, Average Loss  1.448705, Time  0.440819
2021-09-24 06:31:54.275722 : Epoch  4, Batch     55, Loss  1.461968, Average Loss  1.448695, Time  0.438806
2021-09-24 06:32:00.212618 : Epoch  4, Batch     56, Loss  1.445786, Average Loss  1.448689, Time  0.444323
2021-09-24 06:32:06.151788 : Epoch  4, Batch     57, Loss  1.446411, Average Loss  1.448728, Time  0.438602
2021-09-24 06:32:12.071218 : Epoch  4, Batch     58, Loss  1.447734, Average Loss  1.448685, Time  0.439621
2021-09-24 06:32:18.007301 : Epoch  4, Batch     59, Loss  1.461089, Average Loss  1.448754, Time  0.439064
2021-09-24 06:32:23.963514 : Epoch  4, Batch     60, Loss  1.452931, Average Loss  1.448812, Time  0.452041
2021-09-24 06:32:29.891752 : Epoch  4, Batch     61, Loss  1.455507, Average Loss  1.448884, Time  0.438330
2021-09-24 06:32:35.389361 : CheckPoint: Validation Loss  0.00025204, Best Loss  0.00024587
2021-09-24 06:32:35.817059 : Epoch  4, Batch     62, Loss  1.438646, Average Loss  1.448829, Time  0.439101
2021-09-24 06:32:41.316244 : Epoch  4, Batch     17, Loss  1.455154, Average Loss  1.448624, Time  0.444863
2021-09-24 06:32:41.745144 : Epoch  4, Batch     63, Loss  1.453881, Average Loss  1.448914, Time  0.440787
2021-09-24 06:32:47.223960 : Epoch  4, Batch     18, Loss  1.443312, Average Loss  1.448589, Time  0.443213
2021-09-24 06:32:47.654095 : Epoch  4, Batch     64, Loss  1.455436, Average Loss  1.448966, Time  0.439499
2021-09-24 06:32:53.157486 : Epoch  4, Batch     19, Loss  1.443661, Average Loss  1.448585, Time  0.445311
2021-09-24 06:32:53.560684 : Epoch  4, Batch     65, Loss  1.447873, Average Loss  1.448925, Time  0.440114
2021-09-24 06:32:59.098422 : Epoch  4, Batch     20, Loss  1.448376, Average Loss  1.448492, Time  0.462257
2021-09-24 06:32:59.479809 : Epoch  4, Batch     66, Loss  1.447562, Average Loss  1.448935, Time  0.438763
2021-09-24 06:33:05.016458 : Epoch  4, Batch     21, Loss  1.461033, Average Loss  1.448580, Time  0.443255
2021-09-24 06:33:05.397709 : Epoch  4, Batch     67, Loss  1.445832, Average Loss  1.448904, Time  0.440162
2021-09-24 06:33:10.932627 : Epoch  4, Batch     22, Loss  1.447899, Average Loss  1.448598, Time  0.446451
2021-09-24 06:33:11.340757 : Epoch  4, Batch     68, Loss  1.441528, Average Loss  1.448867, Time  0.446751
2021-09-24 06:33:16.846163 : Epoch  4, Batch     23, Loss  1.446075, Average Loss  1.448600, Time  0.443557
2021-09-24 06:33:17.270146 : Epoch  4, Batch     69, Loss  1.451069, Average Loss  1.448856, Time  0.439370
2021-09-24 06:33:22.769012 : Epoch  4, Batch     24, Loss  1.456248, Average Loss  1.448622, Time  0.444564
2021-09-24 06:33:23.198091 : Epoch  4, Batch     70, Loss  1.447278, Average Loss  1.448862, Time  0.439265
2021-09-24 06:33:28.698082 : Epoch  4, Batch     25, Loss  1.438735, Average Loss  1.448604, Time  0.446043
2021-09-24 06:33:29.136173 : Epoch  4, Batch     71, Loss  1.456110, Average Loss  1.448937, Time  0.438808
2021-09-24 06:33:34.619607 : Epoch  4, Batch     26, Loss  1.450215, Average Loss  1.448613, Time  0.444965
2021-09-24 06:33:35.056888 : Epoch  4, Batch     72, Loss  1.448480, Average Loss  1.448896, Time  0.438952
2021-09-24 06:33:40.546240 : Epoch  4, Batch     27, Loss  1.453300, Average Loss  1.448653, Time  0.444051
2021-09-24 06:33:40.979602 : Epoch  4, Batch     73, Loss  1.438805, Average Loss  1.448906, Time  0.439254
2021-09-24 06:33:46.480476 : Epoch  4, Batch     28, Loss  1.455058, Average Loss  1.448648, Time  0.455518
2021-09-24 06:33:46.903297 : Epoch  4, Batch     74, Loss  1.450525, Average Loss  1.448944, Time  0.439771
2021-09-24 06:33:52.414707 : Epoch  4, Batch     29, Loss  1.451797, Average Loss  1.448680, Time  0.445743
2021-09-24 06:33:52.851215 : Epoch  4, Batch     75, Loss  1.446943, Average Loss  1.448951, Time  0.453767
2021-09-24 06:33:58.360798 : Epoch  4, Batch     30, Loss  1.440929, Average Loss  1.448608, Time  0.443934
2021-09-24 06:33:58.782423 : Epoch  4, Batch     76, Loss  1.454162, Average Loss  1.449011, Time  0.440398
2021-09-24 06:34:04.305589 : Epoch  4, Batch     31, Loss  1.437965, Average Loss  1.448508, Time  0.444136
2021-09-24 06:34:04.714827 : Epoch  4, Batch     77, Loss  1.451861, Average Loss  1.448999, Time  0.443041
2021-09-24 06:34:10.244847 : Epoch  4, Batch     32, Loss  1.450581, Average Loss  1.448559, Time  0.447159
2021-09-24 06:34:10.652292 : Epoch  4, Batch     78, Loss  1.441432, Average Loss  1.449004, Time  0.441586
2021-09-24 06:34:16.186082 : Epoch  4, Batch     33, Loss  1.452645, Average Loss  1.448621, Time  0.447315
2021-09-24 06:34:16.585773 : Epoch  4, Batch     79, Loss  1.449482, Average Loss  1.449061, Time  0.440718
2021-09-24 06:34:22.122521 : Epoch  4, Batch     34, Loss  1.438399, Average Loss  1.448563, Time  0.445302
2021-09-24 06:34:22.509164 : Epoch  4, Batch     80, Loss  1.438632, Average Loss  1.449061, Time  0.442194
2021-09-24 06:34:28.059276 : Epoch  4, Batch     35, Loss  1.454809, Average Loss  1.448498, Time  0.444491
2021-09-24 06:34:28.455340 : Epoch  4, Batch     81, Loss  1.443752, Average Loss  1.449034, Time  0.439062
2021-09-24 06:34:34.002817 : Epoch  4, Batch     36, Loss  1.446922, Average Loss  1.448478, Time  0.459333
2021-09-24 06:34:34.392416 : Epoch  4, Batch     82, Loss  1.464562, Average Loss  1.449125, Time  0.440497
2021-09-24 06:34:39.933663 : Epoch  4, Batch     37, Loss  1.446140, Average Loss  1.448446, Time  0.444609
2021-09-24 06:34:40.337495 : Epoch  4, Batch     83, Loss  1.457422, Average Loss  1.449183, Time  0.453702
2021-09-24 06:34:45.859247 : Epoch  4, Batch     38, Loss  1.447758, Average Loss  1.448475, Time  0.445363
2021-09-24 06:34:46.262727 : Epoch  4, Batch     84, Loss  1.435731, Average Loss  1.449132, Time  0.439029
2021-09-24 06:34:51.805159 : Epoch  4, Batch     39, Loss  1.438620, Average Loss  1.448377, Time  0.450594
2021-09-24 06:34:52.196340 : Epoch  4, Batch     85, Loss  1.445171, Average Loss  1.449164, Time  0.441338
2021-09-24 06:34:57.733996 : Epoch  4, Batch     40, Loss  1.458180, Average Loss  1.448445, Time  0.443335
2021-09-24 06:34:58.123081 : Epoch  4, Batch     86, Loss  1.447388, Average Loss  1.449115, Time  0.442166
2021-09-24 06:35:03.670354 : Epoch  4, Batch     41, Loss  1.453191, Average Loss  1.448430, Time  0.444021
2021-09-24 06:35:04.057563 : Epoch  4, Batch     87, Loss  1.441294, Average Loss  1.449053, Time  0.439775
2021-09-24 06:35:09.616826 : Epoch  4, Batch     42, Loss  1.440281, Average Loss  1.448384, Time  0.448110
2021-09-24 06:35:09.999544 : Epoch  4, Batch     88, Loss  1.447671, Average Loss  1.448982, Time  0.441083
2021-09-24 06:35:15.560450 : Epoch  4, Batch     43, Loss  1.442441, Average Loss  1.448357, Time  0.444320
2021-09-24 06:35:15.940264 : Epoch  4, Batch     89, Loss  1.443471, Average Loss  1.448961, Time  0.442297
2021-09-24 06:35:21.504158 : Epoch  4, Batch     44, Loss  1.443681, Average Loss  1.448308, Time  0.457850
2021-09-24 06:35:21.879991 : Epoch  4, Batch     90, Loss  1.446474, Average Loss  1.448960, Time  0.439480
2021-09-24 06:35:27.445685 : Epoch  4, Batch     45, Loss  1.441815, Average Loss  1.448201, Time  0.447247
2021-09-24 06:35:27.834429 : Epoch  4, Batch     91, Loss  1.449081, Average Loss  1.448940, Time  0.450243
2021-09-24 06:35:33.385423 : Epoch  4, Batch     46, Loss  1.461169, Average Loss  1.448255, Time  0.443871
2021-09-24 06:35:33.776014 : Epoch  4, Batch     92, Loss  1.449017, Average Loss  1.448922, Time  0.447707
2021-09-24 06:35:39.318671 : Epoch  4, Batch     47, Loss  1.448608, Average Loss  1.448248, Time  0.444212
2021-09-24 06:35:39.724695 : Epoch  4, Batch     93, Loss  1.453546, Average Loss  1.448981, Time  0.438796
2021-09-24 06:35:45.246947 : Epoch  4, Batch     48, Loss  1.453352, Average Loss  1.448271, Time  0.443875
2021-09-24 06:35:45.648506 : Epoch  4, Batch     94, Loss  1.441370, Average Loss  1.448897, Time  0.441123
2021-09-24 06:35:51.217502 : Epoch  4, Batch     49, Loss  1.454860, Average Loss  1.448260, Time  0.443706
2021-09-24 06:35:51.582188 : Epoch  4, Batch     95, Loss  1.457804, Average Loss  1.448946, Time  0.438782
2021-09-24 06:35:57.137810 : Epoch  4, Batch     50, Loss  1.442452, Average Loss  1.448194, Time  0.445662
2021-09-24 06:35:57.496203 : Epoch  4, Batch     96, Loss  1.441118, Average Loss  1.448949, Time  0.439454
2021-09-24 06:36:03.067624 : Epoch  4, Batch     51, Loss  1.446897, Average Loss  1.448121, Time  0.443487
2021-09-24 06:36:03.418670 : Epoch  4, Batch     97, Loss  1.451830, Average Loss  1.449067, Time  0.439509
2021-09-24 06:36:09.004832 : Epoch  4, Batch     52, Loss  1.442087, Average Loss  1.448151, Time  0.454289
2021-09-24 06:36:09.347608 : Epoch  4, Batch     98, Loss  1.443819, Average Loss  1.449109, Time  0.440784
2021-09-24 06:36:14.943832 : Epoch  4, Batch     53, Loss  1.448734, Average Loss  1.448175, Time  0.443594
2021-09-24 06:36:15.306226 : Epoch  4, Batch     99, Loss  1.449993, Average Loss  1.449073, Time  0.454219
2021-09-24 06:36:20.877869 : Epoch  4, Batch     54, Loss  1.449758, Average Loss  1.448234, Time  0.444085
2021-09-24 06:36:21.227426 : Epoch  4, Batch    100, Loss  1.430475, Average Loss  1.448949, Time  0.441793
2021-09-24 06:36:26.815873 : Epoch  4, Batch     55, Loss  1.460131, Average Loss  1.448225, Time  0.443660
2021-09-24 06:36:27.153803 : Epoch  4, Batch    101, Loss  1.462483, Average Loss  1.449093, Time  0.438868
2021-09-24 06:36:32.741031 : Epoch  4, Batch     56, Loss  1.445028, Average Loss  1.448192, Time  0.444942
2021-09-24 06:36:33.097885 : Epoch  4, Batch    102, Loss  1.443488, Average Loss  1.449061, Time  0.441284
2021-09-24 06:36:38.676891 : Epoch  4, Batch     57, Loss  1.447426, Average Loss  1.448121, Time  0.446009
2021-09-24 06:36:39.025794 : Epoch  4, Batch    103, Loss  1.452839, Average Loss  1.449031, Time  0.440848
2021-09-24 06:36:44.609374 : Epoch  4, Batch     58, Loss  1.439885, Average Loss  1.448071, Time  0.443170
2021-09-24 06:36:44.949752 : Epoch  4, Batch    104, Loss  1.462501, Average Loss  1.449120, Time  0.439155
2021-09-24 06:36:50.541710 : Epoch  4, Batch     59, Loss  1.442771, Average Loss  1.448039, Time  0.446003
2021-09-24 06:36:50.886915 : Epoch  4, Batch    105, Loss  1.451301, Average Loss  1.449109, Time  0.443087
2021-09-24 06:36:56.507524 : Epoch  4, Batch     60, Loss  1.443965, Average Loss  1.447995, Time  0.454555
2021-09-24 06:36:56.844114 : Epoch  4, Batch    106, Loss  1.456187, Average Loss  1.449065, Time  0.459782
2021-09-24 06:37:02.430614 : Epoch  4, Batch     61, Loss  1.445815, Average Loss  1.447983, Time  0.444521
2021-09-24 06:37:02.757946 : Epoch  4, Batch    107, Loss  1.442403, Average Loss  1.449046, Time  0.439279
2021-09-24 06:37:08.366860 : Epoch  4, Batch     62, Loss  1.461813, Average Loss  1.448012, Time  0.445275
2021-09-24 06:37:08.686048 : Epoch  4, Batch    108, Loss  1.455939, Average Loss  1.449054, Time  0.440393
2021-09-24 06:37:14.286708 : Epoch  4, Batch     63, Loss  1.439371, Average Loss  1.447996, Time  0.446607
2021-09-24 06:37:14.598722 : Epoch  4, Batch    109, Loss  1.457024, Average Loss  1.449080, Time  0.439012
2021-09-24 06:37:20.229479 : Epoch  4, Batch     64, Loss  1.438319, Average Loss  1.447943, Time  0.445696
2021-09-24 06:37:20.536255 : Epoch  4, Batch    110, Loss  1.453093, Average Loss  1.449104, Time  0.439768
2021-09-24 06:37:26.193801 : Epoch  4, Batch     65, Loss  1.439942, Average Loss  1.447844, Time  0.443038
2021-09-24 06:37:26.457312 : Epoch  4, Batch    111, Loss  1.449425, Average Loss  1.449092, Time  0.442967
2021-09-24 06:37:32.114451 : Epoch  4, Batch     66, Loss  1.442506, Average Loss  1.447793, Time  0.444967
2021-09-24 06:37:32.403203 : Epoch  4, Batch    112, Loss  1.442239, Average Loss  1.449069, Time  0.439954
2021-09-24 06:37:38.054994 : Epoch  4, Batch     67, Loss  1.453268, Average Loss  1.447827, Time  0.444945
2021-09-24 06:37:38.338272 : Epoch  4, Batch    113, Loss  1.438117, Average Loss  1.448977, Time  0.440446
2021-09-24 06:37:44.005804 : Epoch  4, Batch     68, Loss  1.448661, Average Loss  1.447830, Time  0.460750
2021-09-24 06:37:44.296763 : Epoch  4, Batch    114, Loss  1.439831, Average Loss  1.448928, Time  0.454624
2021-09-24 06:37:49.952557 : Epoch  4, Batch     69, Loss  1.451503, Average Loss  1.447878, Time  0.445360
2021-09-24 06:37:50.233445 : Epoch  4, Batch    115, Loss  1.453226, Average Loss  1.448995, Time  0.441503
2021-09-24 06:37:55.877785 : Epoch  4, Batch     70, Loss  1.456863, Average Loss  1.447918, Time  0.443674
2021-09-24 06:37:56.165868 : Epoch  4, Batch    116, Loss  1.444166, Average Loss  1.448954, Time  0.445534
2021-09-24 06:38:01.842749 : Epoch  4, Batch     71, Loss  1.444903, Average Loss  1.447929, Time  0.446909
2021-09-24 06:38:07.765996 : Epoch  4, Batch     72, Loss  1.447409, Average Loss  1.447886, Time  0.445086
2021-09-24 06:38:13.691532 : Epoch  4, Batch     73, Loss  1.458989, Average Loss  1.448008, Time  0.446605
2021-09-24 06:38:19.619136 : Epoch  4, Batch     74, Loss  1.461729, Average Loss  1.448072, Time  0.443881
2021-09-24 06:38:25.543891 : Epoch  4, Batch     75, Loss  1.441413, Average Loss  1.448003, Time  0.445334
2021-09-24 06:38:31.511526 : Epoch  4, Batch     76, Loss  1.442662, Average Loss  1.447978, Time  0.456415
2021-09-24 06:38:37.442545 : Epoch  4, Batch     77, Loss  1.453299, Average Loss  1.447987, Time  0.445088
2021-09-24 06:38:43.375843 : Epoch  4, Batch     78, Loss  1.439945, Average Loss  1.447968, Time  0.445889
2021-09-24 06:38:49.307415 : Epoch  4, Batch     79, Loss  1.440602, Average Loss  1.447965, Time  0.443211
2021-09-24 06:38:55.232318 : Epoch  4, Batch     80, Loss  1.449095, Average Loss  1.447943, Time  0.444206
2021-09-24 06:39:01.165484 : Epoch  4, Batch     81, Loss  1.447773, Average Loss  1.447914, Time  0.443277
2021-09-24 06:39:07.096114 : Epoch  4, Batch     82, Loss  1.441247, Average Loss  1.447872, Time  0.444940
2021-09-24 06:39:13.036517 : Epoch  4, Batch     83, Loss  1.437548, Average Loss  1.447788, Time  0.444508
2021-09-24 06:39:18.964507 : Epoch  4, Batch     84, Loss  1.453748, Average Loss  1.447907, Time  0.457412
2021-09-24 06:39:24.902455 : Epoch  4, Batch     85, Loss  1.454175, Average Loss  1.447938, Time  0.444893
2021-09-24 06:39:30.845890 : Epoch  4, Batch     86, Loss  1.444571, Average Loss  1.447900, Time  0.443283
2021-09-24 06:39:36.788535 : Epoch  4, Batch     87, Loss  1.458724, Average Loss  1.447991, Time  0.447947
2021-09-24 06:39:42.712134 : Epoch  4, Batch     88, Loss  1.452143, Average Loss  1.448042, Time  0.443812
2021-09-24 06:39:48.650973 : Epoch  4, Batch     89, Loss  1.443228, Average Loss  1.447947, Time  0.443285
2021-09-24 06:39:54.589935 : Epoch  4, Batch     90, Loss  1.455546, Average Loss  1.448002, Time  0.449349
2021-09-24 06:40:00.528777 : Epoch  4, Batch     91, Loss  1.447979, Average Loss  1.448013, Time  0.450577
2021-09-24 06:40:06.475315 : Epoch  4, Batch     92, Loss  1.447255, Average Loss  1.447939, Time  0.456766
2021-09-24 06:40:12.408165 : Epoch  4, Batch     93, Loss  1.457710, Average Loss  1.448010, Time  0.442881
2021-09-24 06:40:18.373106 : Epoch  4, Batch     94, Loss  1.450637, Average Loss  1.447929, Time  0.445421
2021-09-24 06:40:24.306907 : Epoch  4, Batch     95, Loss  1.453594, Average Loss  1.447918, Time  0.447627
2021-09-24 06:40:30.242944 : Epoch  4, Batch     96, Loss  1.453999, Average Loss  1.447937, Time  0.443506
2021-09-24 06:40:36.169425 : Epoch  4, Batch     97, Loss  1.437606, Average Loss  1.447934, Time  0.443509
2021-09-24 06:40:42.102925 : Epoch  4, Batch     98, Loss  1.455917, Average Loss  1.448049, Time  0.444007
2021-09-24 06:40:48.036439 : Epoch  4, Batch     99, Loss  1.451574, Average Loss  1.448087, Time  0.445757
2021-09-24 06:40:53.968094 : Epoch  4, Batch    100, Loss  1.458732, Average Loss  1.448142, Time  0.453502
2021-09-24 06:40:59.892560 : Epoch  4, Batch    101, Loss  1.443625, Average Loss  1.448045, Time  0.442964
2021-09-24 06:41:05.843162 : Epoch  4, Batch    102, Loss  1.448614, Average Loss  1.448098, Time  0.446690
2021-09-24 06:41:11.761427 : Epoch  4, Batch    103, Loss  1.436482, Average Loss  1.448017, Time  0.446569
2021-09-24 06:41:17.711149 : Epoch  4, Batch    104, Loss  1.455903, Average Loss  1.448076, Time  0.447115
2021-09-24 06:41:23.639223 : Epoch  4, Batch    105, Loss  1.434198, Average Loss  1.448017, Time  0.444808
2021-09-24 06:41:29.557310 : Epoch  4, Batch    106, Loss  1.457497, Average Loss  1.448120, Time  0.443847
2021-09-24 06:41:35.487303 : Epoch  4, Batch    107, Loss  1.437094, Average Loss  1.448106, Time  0.444210
2021-09-24 06:41:41.418368 : Epoch  4, Batch    108, Loss  1.442600, Average Loss  1.448064, Time  0.456147
2021-09-24 06:41:47.354954 : Epoch  4, Batch    109, Loss  1.437462, Average Loss  1.448004, Time  0.444807
2021-09-24 06:41:53.294488 : Epoch  4, Batch    110, Loss  1.439303, Average Loss  1.447919, Time  0.445482
2021-09-24 06:41:59.235621 : Epoch  4, Batch    111, Loss  1.443934, Average Loss  1.447881, Time  0.444892
2021-09-24 06:42:05.164554 : Epoch  4, Batch    112, Loss  1.449818, Average Loss  1.447900, Time  0.445544
2021-09-24 06:42:11.098713 : Epoch  4, Batch    113, Loss  1.441932, Average Loss  1.447865, Time  0.444270
2021-09-24 06:42:17.035445 : Epoch  4, Batch    114, Loss  1.443946, Average Loss  1.447820, Time  0.444198
2021-09-24 06:42:22.972271 : Epoch  4, Batch    115, Loss  1.432063, Average Loss  1.447729, Time  0.444772
2021-09-24 06:42:28.908538 : Epoch  4, Batch    116, Loss  1.445993, Average Loss  1.447725, Time  0.449611
2021-09-24 06:42:34.709866 : CheckPoint: Validation Loss  0.00024929, Best Loss  0.00024726
2021-09-24 06:42:40.661309 : Epoch  4, Batch    117, Loss  1.443632, Average Loss  1.448853, Time  0.438966
2021-09-24 06:42:46.585728 : Epoch  4, Batch    118, Loss  1.456400, Average Loss  1.448913, Time  0.441194
2021-09-24 06:42:52.508464 : Epoch  4, Batch    119, Loss  1.440705, Average Loss  1.448856, Time  0.439257
2021-09-24 06:42:58.428182 : Epoch  4, Batch    120, Loss  1.444654, Average Loss  1.448823, Time  0.438823
2021-09-24 06:43:04.368269 : Epoch  4, Batch    121, Loss  1.437743, Average Loss  1.448760, Time  0.455159
2021-09-24 06:43:10.294889 : Epoch  4, Batch    122, Loss  1.435823, Average Loss  1.448646, Time  0.446782
2021-09-24 06:43:16.223249 : Epoch  4, Batch    123, Loss  1.442817, Average Loss  1.448581, Time  0.439430
2021-09-24 06:43:22.157525 : Epoch  4, Batch    124, Loss  1.441122, Average Loss  1.448486, Time  0.439299
2021-09-24 06:43:28.125083 : Epoch  4, Batch    125, Loss  1.456338, Average Loss  1.448586, Time  0.441664
2021-09-24 06:43:34.050291 : Epoch  4, Batch    126, Loss  1.453652, Average Loss  1.448566, Time  0.441094
2021-09-24 06:43:39.992684 : Epoch  4, Batch    127, Loss  1.455101, Average Loss  1.448641, Time  0.439902
2021-09-24 06:43:45.911156 : Epoch  4, Batch    128, Loss  1.446673, Average Loss  1.448674, Time  0.439073
2021-09-24 06:43:51.853851 : Epoch  4, Batch    129, Loss  1.439679, Average Loss  1.448612, Time  0.457572
2021-09-24 06:43:57.785706 : Epoch  4, Batch    130, Loss  1.461584, Average Loss  1.448715, Time  0.439224
2021-09-24 06:44:03.724441 : Epoch  4, Batch    131, Loss  1.454122, Average Loss  1.448752, Time  0.441331
2021-09-24 06:44:09.649692 : Epoch  4, Batch    132, Loss  1.453951, Average Loss  1.448762, Time  0.440731
2021-09-24 06:44:15.570086 : Epoch  4, Batch    133, Loss  1.446426, Average Loss  1.448787, Time  0.439118
2021-09-24 06:44:21.500344 : Epoch  4, Batch    134, Loss  1.447581, Average Loss  1.448817, Time  0.438898
2021-09-24 06:44:27.439499 : Epoch  4, Batch    135, Loss  1.451383, Average Loss  1.448850, Time  0.442524
2021-09-24 06:44:33.366396 : Epoch  4, Batch    136, Loss  1.450922, Average Loss  1.448859, Time  0.439406
2021-09-24 06:44:39.299252 : Epoch  4, Batch    137, Loss  1.438662, Average Loss  1.448817, Time  0.455900
2021-09-24 06:44:45.230975 : Epoch  4, Batch    138, Loss  1.444324, Average Loss  1.448813, Time  0.438466
2021-09-24 06:44:51.129560 : Epoch  4, Batch    139, Loss  1.440802, Average Loss  1.448792, Time  0.439050
2021-09-24 06:44:57.057282 : Epoch  4, Batch    140, Loss  1.462657, Average Loss  1.448847, Time  0.441736
2021-09-24 06:45:02.983383 : Epoch  4, Batch    141, Loss  1.449376, Average Loss  1.448888, Time  0.438593
2021-09-24 06:45:08.904954 : Epoch  4, Batch    142, Loss  1.444638, Average Loss  1.448875, Time  0.438337
2021-09-24 06:45:14.814279 : Epoch  4, Batch    143, Loss  1.456757, Average Loss  1.448893, Time  0.439059
2021-09-24 06:45:20.735754 : Epoch  4, Batch    144, Loss  1.459192, Average Loss  1.448943, Time  0.440902
2021-09-24 06:45:26.665099 : Epoch  4, Batch    145, Loss  1.436575, Average Loss  1.448914, Time  0.448509
2021-09-24 06:45:32.596294 : Epoch  4, Batch    146, Loss  1.449051, Average Loss  1.448854, Time  0.439095
2021-09-24 06:45:38.519839 : Epoch  4, Batch    147, Loss  1.445969, Average Loss  1.448865, Time  0.439283
2021-09-24 06:45:44.457468 : Epoch  4, Batch    148, Loss  1.452474, Average Loss  1.448890, Time  0.441778
2021-09-24 06:45:50.375819 : Epoch  4, Batch    149, Loss  1.444627, Average Loss  1.448921, Time  0.439410
2021-09-24 06:45:56.298441 : Epoch  4, Batch    150, Loss  1.431420, Average Loss  1.448831, Time  0.438667
2021-09-24 06:46:02.222680 : Epoch  4, Batch    151, Loss  1.457396, Average Loss  1.448897, Time  0.438350
2021-09-24 06:46:08.139806 : Epoch  4, Batch    152, Loss  1.433871, Average Loss  1.448817, Time  0.440092
2021-09-24 06:46:14.085265 : Epoch  4, Batch    153, Loss  1.446701, Average Loss  1.448793, Time  0.453556
2021-09-24 06:46:20.019786 : Epoch  4, Batch    154, Loss  1.438373, Average Loss  1.448716, Time  0.439282
2021-09-24 06:46:25.936973 : Epoch  4, Batch    155, Loss  1.438988, Average Loss  1.448668, Time  0.439619
2021-09-24 06:46:31.863838 : Epoch  4, Batch    156, Loss  1.442914, Average Loss  1.448635, Time  0.439019
2021-09-24 06:46:37.785590 : Epoch  4, Batch    157, Loss  1.450324, Average Loss  1.448654, Time  0.441450
2021-09-24 06:46:43.738981 : Epoch  4, Batch    158, Loss  1.447369, Average Loss  1.448620, Time  0.442734
2021-09-24 06:46:49.675848 : Epoch  4, Batch    159, Loss  1.446758, Average Loss  1.448604, Time  0.439145
2021-09-24 06:46:55.603527 : Epoch  4, Batch    160, Loss  1.449316, Average Loss  1.448583, Time  0.440288
2021-09-24 06:47:01.543303 : Epoch  4, Batch    161, Loss  1.444197, Average Loss  1.448536, Time  0.454129
2021-09-24 06:47:06.679850 : CheckPoint: Validation Loss  0.00025773, Best Loss  0.00024587
2021-09-24 06:47:07.478148 : Epoch  4, Batch    162, Loss  1.453939, Average Loss  1.448645, Time  0.440052
2021-09-24 06:47:12.609008 : Epoch  4, Batch    117, Loss  1.457020, Average Loss  1.447713, Time  0.444134
2021-09-24 06:47:13.405806 : Epoch  4, Batch    163, Loss  1.439470, Average Loss  1.448594, Time  0.439625
2021-09-24 06:47:18.561153 : Epoch  4, Batch    118, Loss  1.443104, Average Loss  1.447659, Time  0.446840
2021-09-24 06:47:19.340774 : Epoch  4, Batch    164, Loss  1.451829, Average Loss  1.448616, Time  0.441013
2021-09-24 06:47:24.474756 : Epoch  4, Batch    119, Loss  1.451046, Average Loss  1.447662, Time  0.448436
2021-09-24 06:47:25.274753 : Epoch  4, Batch    165, Loss  1.444980, Average Loss  1.448569, Time  0.438458
2021-09-24 06:47:30.397904 : Epoch  4, Batch    120, Loss  1.441938, Average Loss  1.447647, Time  0.446417
2021-09-24 06:47:31.211915 : Epoch  4, Batch    166, Loss  1.441175, Average Loss  1.448503, Time  0.441640
2021-09-24 06:47:36.340348 : Epoch  4, Batch    121, Loss  1.446952, Average Loss  1.447651, Time  0.443512
2021-09-24 06:47:37.125841 : Epoch  4, Batch    167, Loss  1.451791, Average Loss  1.448487, Time  0.440058
2021-09-24 06:47:42.263026 : Epoch  4, Batch    122, Loss  1.448063, Average Loss  1.447648, Time  0.442688
2021-09-24 06:47:43.031879 : Epoch  4, Batch    168, Loss  1.459793, Average Loss  1.448481, Time  0.439093
2021-09-24 06:47:48.207721 : Epoch  4, Batch    123, Loss  1.445189, Average Loss  1.447628, Time  0.455482
2021-09-24 06:47:48.964941 : Epoch  4, Batch    169, Loss  1.447450, Average Loss  1.448431, Time  0.455545
2021-09-24 06:47:54.149692 : Epoch  4, Batch    124, Loss  1.451190, Average Loss  1.447605, Time  0.445421
2021-09-24 06:47:54.896174 : Epoch  4, Batch    170, Loss  1.453332, Average Loss  1.448397, Time  0.438237
2021-09-24 06:48:00.063730 : Epoch  4, Batch    125, Loss  1.451022, Average Loss  1.447664, Time  0.444985
2021-09-24 06:48:00.829888 : Epoch  4, Batch    171, Loss  1.455707, Average Loss  1.448382, Time  0.438916
2021-09-24 06:48:05.986541 : Epoch  4, Batch    126, Loss  1.437059, Average Loss  1.447581, Time  0.445658
2021-09-24 06:48:06.752868 : Epoch  4, Batch    172, Loss  1.453290, Average Loss  1.448414, Time  0.439189
2021-09-24 06:48:11.918355 : Epoch  4, Batch    127, Loss  1.448308, Average Loss  1.447578, Time  0.442889
2021-09-24 06:48:12.684951 : Epoch  4, Batch    173, Loss  1.441528, Average Loss  1.448325, Time  0.438892
2021-09-24 06:48:17.836613 : Epoch  4, Batch    128, Loss  1.450638, Average Loss  1.447565, Time  0.444640
2021-09-24 06:48:18.601885 : Epoch  4, Batch    174, Loss  1.453508, Average Loss  1.448319, Time  0.439918
2021-09-24 06:48:23.739179 : Epoch  4, Batch    129, Loss  1.455902, Average Loss  1.447596, Time  0.443682
2021-09-24 06:48:24.540396 : Epoch  4, Batch    175, Loss  1.441784, Average Loss  1.448277, Time  0.438595
2021-09-24 06:48:29.672135 : Epoch  4, Batch    130, Loss  1.460234, Average Loss  1.447582, Time  0.443001
2021-09-24 06:48:30.455568 : Epoch  4, Batch    176, Loss  1.452798, Average Loss  1.448298, Time  0.444636
2021-09-24 06:48:35.622529 : Epoch  4, Batch    131, Loss  1.437677, Average Loss  1.447560, Time  0.458775
2021-09-24 06:48:36.426629 : Epoch  4, Batch    177, Loss  1.446619, Average Loss  1.448292, Time  0.457460
2021-09-24 06:48:41.560391 : Epoch  4, Batch    132, Loss  1.447705, Average Loss  1.447562, Time  0.447336
2021-09-24 06:48:42.355787 : Epoch  4, Batch    178, Loss  1.438189, Average Loss  1.448229, Time  0.438634
2021-09-24 06:48:47.482694 : Epoch  4, Batch    133, Loss  1.444555, Average Loss  1.447552, Time  0.442992
2021-09-24 06:48:48.286335 : Epoch  4, Batch    179, Loss  1.446839, Average Loss  1.448256, Time  0.438756
2021-09-24 06:48:53.395573 : Epoch  4, Batch    134, Loss  1.441143, Average Loss  1.447509, Time  0.447233
2021-09-24 06:48:54.196907 : Epoch  4, Batch    180, Loss  1.457766, Average Loss  1.448262, Time  0.438316
2021-09-24 06:48:59.337465 : Epoch  4, Batch    135, Loss  1.458337, Average Loss  1.447583, Time  0.454935
2021-09-24 06:49:00.124994 : Epoch  4, Batch    181, Loss  1.444911, Average Loss  1.448274, Time  0.438867
2021-09-24 06:49:05.263546 : Epoch  4, Batch    136, Loss  1.456517, Average Loss  1.447598, Time  0.443083
2021-09-24 06:49:06.054851 : Epoch  4, Batch    182, Loss  1.448093, Average Loss  1.448366, Time  0.439431
2021-09-24 06:49:11.195327 : Epoch  4, Batch    137, Loss  1.448328, Average Loss  1.447532, Time  0.443071
2021-09-24 06:49:11.990035 : Epoch  4, Batch    183, Loss  1.444177, Average Loss  1.448401, Time  0.443231
2021-09-24 06:49:17.130979 : Epoch  4, Batch    138, Loss  1.447727, Average Loss  1.447531, Time  0.445090
2021-09-24 06:49:17.927930 : Epoch  4, Batch    184, Loss  1.455328, Average Loss  1.448401, Time  0.453140
2021-09-24 06:49:23.071664 : Epoch  4, Batch    139, Loss  1.452658, Average Loss  1.447571, Time  0.462673
2021-09-24 06:49:23.853790 : Epoch  4, Batch    185, Loss  1.435259, Average Loss  1.448342, Time  0.439970
2021-09-24 06:49:28.994927 : Epoch  4, Batch    140, Loss  1.452801, Average Loss  1.447575, Time  0.443232
2021-09-24 06:49:29.788238 : Epoch  4, Batch    186, Loss  1.443567, Average Loss  1.448335, Time  0.442473
2021-09-24 06:49:34.908910 : Epoch  4, Batch    141, Loss  1.452103, Average Loss  1.447646, Time  0.442603
2021-09-24 06:49:35.691092 : Epoch  4, Batch    187, Loss  1.438278, Average Loss  1.448261, Time  0.439231
2021-09-24 06:49:40.836453 : Epoch  4, Batch    142, Loss  1.464495, Average Loss  1.447730, Time  0.448303
2021-09-24 06:49:41.620981 : Epoch  4, Batch    188, Loss  1.443614, Average Loss  1.448247, Time  0.439106
2021-09-24 06:49:46.775094 : Epoch  4, Batch    143, Loss  1.444362, Average Loss  1.447731, Time  0.445089
2021-09-24 06:49:47.537722 : Epoch  4, Batch    189, Loss  1.440575, Average Loss  1.448197, Time  0.439310
2021-09-24 06:49:52.724400 : Epoch  4, Batch    144, Loss  1.458898, Average Loss  1.447737, Time  0.448698
2021-09-24 06:49:53.459550 : Epoch  4, Batch    190, Loss  1.458565, Average Loss  1.448282, Time  0.439686
2021-09-24 06:49:58.645840 : Epoch  4, Batch    145, Loss  1.435412, Average Loss  1.447715, Time  0.444033
2021-09-24 06:49:59.394853 : Epoch  4, Batch    191, Loss  1.441308, Average Loss  1.448216, Time  0.438922
2021-09-24 06:50:04.578789 : Epoch  4, Batch    146, Loss  1.453305, Average Loss  1.447741, Time  0.442909
2021-09-24 06:50:05.338751 : Epoch  4, Batch    192, Loss  1.439809, Average Loss  1.448175, Time  0.455634
2021-09-24 06:50:10.520890 : Epoch  4, Batch    147, Loss  1.446205, Average Loss  1.447701, Time  0.460345
2021-09-24 06:50:11.281805 : Epoch  4, Batch    193, Loss  1.448750, Average Loss  1.448176, Time  0.438615
2021-09-24 06:50:16.445445 : Epoch  4, Batch    148, Loss  1.448293, Average Loss  1.447703, Time  0.444088
2021-09-24 06:50:17.190811 : Epoch  4, Batch    194, Loss  1.452682, Average Loss  1.448173, Time  0.440030
2021-09-24 06:50:22.365907 : Epoch  4, Batch    149, Loss  1.447601, Average Loss  1.447756, Time  0.442804
2021-09-24 06:50:23.102386 : Epoch  4, Batch    195, Loss  1.444811, Average Loss  1.448146, Time  0.439441
2021-09-24 06:50:28.299713 : Epoch  4, Batch    150, Loss  1.451530, Average Loss  1.447772, Time  0.443977
2021-09-24 06:50:29.041113 : Epoch  4, Batch    196, Loss  1.445682, Average Loss  1.448166, Time  0.438190
2021-09-24 06:50:34.221459 : Epoch  4, Batch    151, Loss  1.454483, Average Loss  1.447818, Time  0.443951
2021-09-24 06:50:34.969024 : Epoch  4, Batch    197, Loss  1.455790, Average Loss  1.448189, Time  0.438530
2021-09-24 06:50:40.172627 : Epoch  4, Batch    152, Loss  1.445503, Average Loss  1.447820, Time  0.445478
2021-09-24 06:50:40.901041 : Epoch  4, Batch    198, Loss  1.456593, Average Loss  1.448211, Time  0.438835
2021-09-24 06:50:46.096623 : Epoch  4, Batch    153, Loss  1.458060, Average Loss  1.447852, Time  0.444800
2021-09-24 06:50:46.835696 : Epoch  4, Batch    199, Loss  1.459797, Average Loss  1.448300, Time  0.441783
2021-09-24 06:50:52.032264 : Epoch  4, Batch    154, Loss  1.441491, Average Loss  1.447816, Time  0.444375
2021-09-24 06:50:52.786669 : Epoch  4, Batch    200, Loss  1.433358, Average Loss  1.448220, Time  0.456959
2021-09-24 06:50:57.973974 : Epoch  4, Batch    155, Loss  1.446083, Average Loss  1.447819, Time  0.454771
2021-09-24 06:50:58.715065 : Epoch  4, Batch    201, Loss  1.438183, Average Loss  1.448204, Time  0.438933
2021-09-24 06:51:03.901950 : Epoch  4, Batch    156, Loss  1.445426, Average Loss  1.447834, Time  0.444728
2021-09-24 06:51:04.639705 : Epoch  4, Batch    202, Loss  1.456829, Average Loss  1.448253, Time  0.440120
2021-09-24 06:51:09.838489 : Epoch  4, Batch    157, Loss  1.454455, Average Loss  1.447880, Time  0.445606
2021-09-24 06:51:10.552830 : Epoch  4, Batch    203, Loss  1.439191, Average Loss  1.448187, Time  0.439027
2021-09-24 06:51:15.775594 : Epoch  4, Batch    158, Loss  1.444008, Average Loss  1.447871, Time  0.445705
2021-09-24 06:51:16.481967 : Epoch  4, Batch    204, Loss  1.427789, Average Loss  1.448047, Time  0.440047
2021-09-24 06:51:21.738135 : Epoch  4, Batch    159, Loss  1.444572, Average Loss  1.447878, Time  0.442621
2021-09-24 06:51:22.409860 : Epoch  4, Batch    205, Loss  1.436505, Average Loss  1.447994, Time  0.437878
2021-09-24 06:51:27.673243 : Epoch  4, Batch    160, Loss  1.449806, Average Loss  1.447901, Time  0.444327
2021-09-24 06:51:28.353002 : Epoch  4, Batch    206, Loss  1.436798, Average Loss  1.447984, Time  0.440607
2021-09-24 06:51:33.608278 : Epoch  4, Batch    161, Loss  1.442864, Average Loss  1.447863, Time  0.443609
2021-09-24 06:51:34.287511 : Epoch  4, Batch    207, Loss  1.435153, Average Loss  1.447913, Time  0.438919
2021-09-24 06:51:39.539490 : Epoch  4, Batch    162, Loss  1.443796, Average Loss  1.447839, Time  0.443907
2021-09-24 06:51:40.203518 : Epoch  4, Batch    208, Loss  1.456745, Average Loss  1.447910, Time  0.449225
2021-09-24 06:51:45.492070 : Epoch  4, Batch    163, Loss  1.453792, Average Loss  1.447891, Time  0.465816
2021-09-24 06:51:46.117666 : Epoch  4, Batch    209, Loss  1.435993, Average Loss  1.447862, Time  0.440379
2021-09-24 06:51:51.421907 : Epoch  4, Batch    164, Loss  1.435679, Average Loss  1.447841, Time  0.445844
2021-09-24 06:51:52.044336 : Epoch  4, Batch    210, Loss  1.448861, Average Loss  1.447809, Time  0.439993
2021-09-24 06:51:57.354812 : Epoch  4, Batch    165, Loss  1.433154, Average Loss  1.447751, Time  0.443022
2021-09-24 06:51:57.978456 : Epoch  4, Batch    211, Loss  1.449313, Average Loss  1.447788, Time  0.440558
2021-09-24 06:52:03.292707 : Epoch  4, Batch    166, Loss  1.439490, Average Loss  1.447726, Time  0.444678
2021-09-24 06:52:03.916510 : Epoch  4, Batch    212, Loss  1.427772, Average Loss  1.447678, Time  0.440054
2021-09-24 06:52:09.227619 : Epoch  4, Batch    167, Loss  1.445533, Average Loss  1.447729, Time  0.444846
2021-09-24 06:52:09.862447 : Epoch  4, Batch    213, Loss  1.450152, Average Loss  1.447689, Time  0.450416
2021-09-24 06:52:15.166404 : Epoch  4, Batch    168, Loss  1.435673, Average Loss  1.447631, Time  0.446567
2021-09-24 06:52:15.798750 : Epoch  4, Batch    214, Loss  1.454960, Average Loss  1.447699, Time  0.439318
2021-09-24 06:52:21.103195 : Epoch  4, Batch    169, Loss  1.447950, Average Loss  1.447616, Time  0.443574
2021-09-24 06:52:21.733410 : Epoch  4, Batch    215, Loss  1.451685, Average Loss  1.447663, Time  0.438665
2021-09-24 06:52:27.047978 : Epoch  4, Batch    170, Loss  1.451405, Average Loss  1.447716, Time  0.443251
2021-09-24 06:52:33.026332 : Epoch  4, Batch    171, Loss  1.444963, Average Loss  1.447766, Time  0.462164
2021-09-24 06:52:33.180498 : Epoch  4, Batch    216, Loss  1.449547, Average Loss  1.447662, Time  0.447812
2021-09-24 06:52:38.979263 : Epoch  4, Batch    172, Loss  1.450606, Average Loss  1.447813, Time  0.446898
2021-09-24 06:52:44.919532 : Epoch  4, Batch    173, Loss  1.428982, Average Loss  1.447743, Time  0.444405
2021-09-24 06:52:50.864876 : Epoch  4, Batch    174, Loss  1.457828, Average Loss  1.447853, Time  0.447327
2021-09-24 06:52:56.814044 : Epoch  4, Batch    175, Loss  1.446091, Average Loss  1.447815, Time  0.447104
2021-09-24 06:53:02.754969 : Epoch  4, Batch    176, Loss  1.448256, Average Loss  1.447795, Time  0.446973
2021-09-24 06:53:08.681461 : Epoch  4, Batch    177, Loss  1.438994, Average Loss  1.447708, Time  0.442694
2021-09-24 06:53:14.644895 : Epoch  4, Batch    178, Loss  1.453482, Average Loss  1.447749, Time  0.456426
2021-09-24 06:53:20.575845 : Epoch  4, Batch    179, Loss  1.445425, Average Loss  1.447709, Time  0.447639
2021-09-24 06:53:26.504283 : Epoch  4, Batch    180, Loss  1.430726, Average Loss  1.447646, Time  0.444203
2021-09-24 06:53:32.428805 : Epoch  4, Batch    181, Loss  1.446795, Average Loss  1.447624, Time  0.443737
2021-09-24 06:53:38.351546 : Epoch  4, Batch    182, Loss  1.455008, Average Loss  1.447707, Time  0.443331
2021-09-24 06:53:44.284217 : Epoch  4, Batch    183, Loss  1.448717, Average Loss  1.447726, Time  0.443521
2021-09-24 06:53:50.217017 : Epoch  4, Batch    184, Loss  1.458134, Average Loss  1.447746, Time  0.444636
2021-09-24 06:53:56.144830 : Epoch  4, Batch    185, Loss  1.438966, Average Loss  1.447678, Time  0.443950
2021-09-24 06:54:02.084682 : Epoch  4, Batch    186, Loss  1.441130, Average Loss  1.447727, Time  0.454929
2021-09-24 06:54:08.022811 : Epoch  4, Batch    187, Loss  1.445235, Average Loss  1.447728, Time  0.446481
2021-09-24 06:54:13.958388 : Epoch  4, Batch    188, Loss  1.452241, Average Loss  1.447742, Time  0.443522
2021-09-24 06:54:19.879874 : Epoch  4, Batch    189, Loss  1.441581, Average Loss  1.447689, Time  0.443617
2021-09-24 06:54:25.812504 : Epoch  4, Batch    190, Loss  1.445591, Average Loss  1.447656, Time  0.442773
2021-09-24 06:54:31.732862 : Epoch  4, Batch    191, Loss  1.443045, Average Loss  1.447629, Time  0.444840
2021-09-24 06:54:37.653716 : Epoch  4, Batch    192, Loss  1.430233, Average Loss  1.447538, Time  0.443026
2021-09-24 06:54:43.585234 : Epoch  4, Batch    193, Loss  1.437609, Average Loss  1.447482, Time  0.446211
2021-09-24 06:54:49.527921 : Epoch  4, Batch    194, Loss  1.449440, Average Loss  1.447496, Time  0.455711
2021-09-24 06:54:55.436165 : Epoch  4, Batch    195, Loss  1.456946, Average Loss  1.447577, Time  0.444649
2021-09-24 06:55:01.362013 : Epoch  4, Batch    196, Loss  1.447949, Average Loss  1.447620, Time  0.445546
2021-09-24 06:55:07.296786 : Epoch  4, Batch    197, Loss  1.457111, Average Loss  1.447667, Time  0.445525
2021-09-24 06:55:13.227219 : Epoch  4, Batch    198, Loss  1.445200, Average Loss  1.447632, Time  0.443931
2021-09-24 06:55:19.161446 : Epoch  4, Batch    199, Loss  1.457325, Average Loss  1.447701, Time  0.443373
2021-09-24 06:55:25.090937 : Epoch  4, Batch    200, Loss  1.454756, Average Loss  1.447706, Time  0.443426
2021-09-24 06:55:31.027752 : Epoch  4, Batch    201, Loss  1.446411, Average Loss  1.447713, Time  0.444456
2021-09-24 06:55:36.971530 : Epoch  4, Batch    202, Loss  1.451317, Average Loss  1.447702, Time  0.456946
2021-09-24 06:55:42.901507 : Epoch  4, Batch    203, Loss  1.451082, Average Loss  1.447667, Time  0.443634
2021-09-24 06:55:48.841006 : Epoch  4, Batch    204, Loss  1.436934, Average Loss  1.447591, Time  0.447901
2021-09-24 06:55:54.771492 : Epoch  4, Batch    205, Loss  1.439542, Average Loss  1.447554, Time  0.445002
2021-09-24 06:56:00.698988 : Epoch  4, Batch    206, Loss  1.433213, Average Loss  1.447425, Time  0.446052
2021-09-24 06:56:06.627431 : Epoch  4, Batch    207, Loss  1.439701, Average Loss  1.447418, Time  0.446081
2021-09-24 06:56:12.577608 : Epoch  4, Batch    208, Loss  1.446871, Average Loss  1.447430, Time  0.443722
2021-09-24 06:56:18.539754 : Epoch  4, Batch    209, Loss  1.442305, Average Loss  1.447378, Time  0.459558
2021-09-24 06:56:24.479499 : Epoch  4, Batch    210, Loss  1.445820, Average Loss  1.447329, Time  0.444843
2021-09-24 06:56:30.441883 : Epoch  4, Batch    211, Loss  1.453942, Average Loss  1.447376, Time  0.454875
2021-09-24 06:56:36.376753 : Epoch  4, Batch    212, Loss  1.458328, Average Loss  1.447479, Time  0.444317
2021-09-24 06:56:42.311802 : Epoch  4, Batch    213, Loss  1.451791, Average Loss  1.447517, Time  0.443949
2021-09-24 06:56:48.253652 : Epoch  4, Batch    214, Loss  1.445853, Average Loss  1.447479, Time  0.443556
2021-09-24 06:56:54.188172 : Epoch  4, Batch    215, Loss  1.449205, Average Loss  1.447450, Time  0.442945
2021-09-24 06:57:05.697462 : Epoch  4, Batch    216, Loss  1.456184, Average Loss  1.447510, Time  0.458097
2021-09-24 06:57:11.400218 : CheckPoint: Validation Loss  0.00024895, Best Loss  0.00024726
2021-09-24 06:57:17.327916 : Epoch  4, Batch    217, Loss  1.448327, Average Loss  1.447661, Time  0.439216
2021-09-24 06:57:23.255390 : Epoch  4, Batch    218, Loss  1.448859, Average Loss  1.447635, Time  0.438842
2021-09-24 06:57:29.186002 : Epoch  4, Batch    219, Loss  1.449901, Average Loss  1.447617, Time  0.439906
2021-09-24 06:57:35.142317 : Epoch  4, Batch    220, Loss  1.447489, Average Loss  1.447639, Time  0.438797
2021-09-24 06:57:41.086454 : Epoch  4, Batch    221, Loss  1.454142, Average Loss  1.447669, Time  0.444356
2021-09-24 06:57:47.019715 : Epoch  4, Batch    222, Loss  1.449951, Average Loss  1.447722, Time  0.451282
2021-09-24 06:57:52.950566 : Epoch  4, Batch    223, Loss  1.449077, Average Loss  1.447708, Time  0.439486
2021-09-24 06:57:58.896478 : Epoch  4, Batch    224, Loss  1.445965, Average Loss  1.447716, Time  0.443920
2021-09-24 06:58:04.842750 : Epoch  4, Batch    225, Loss  1.451300, Average Loss  1.447736, Time  0.440392
2021-09-24 06:58:10.778515 : Epoch  4, Batch    226, Loss  1.446914, Average Loss  1.447733, Time  0.438424
2021-09-24 06:58:16.712184 : Epoch  4, Batch    227, Loss  1.447466, Average Loss  1.447668, Time  0.441435
2021-09-24 06:58:22.645285 : Epoch  4, Batch    228, Loss  1.450303, Average Loss  1.447670, Time  0.441548
2021-09-24 06:58:28.576077 : Epoch  4, Batch    229, Loss  1.440147, Average Loss  1.447679, Time  0.439181
2021-09-24 06:58:34.511712 : Epoch  4, Batch    230, Loss  1.447072, Average Loss  1.447650, Time  0.447019
2021-09-24 06:58:40.443500 : Epoch  4, Batch    231, Loss  1.434615, Average Loss  1.447586, Time  0.440699
2021-09-24 06:58:46.381296 : Epoch  4, Batch    232, Loss  1.465796, Average Loss  1.447670, Time  0.440230
2021-09-24 06:58:52.317211 : Epoch  4, Batch    233, Loss  1.461105, Average Loss  1.447739, Time  0.444435
2021-09-24 06:58:58.246245 : Epoch  4, Batch    234, Loss  1.434005, Average Loss  1.447669, Time  0.440428
2021-09-24 06:59:04.188152 : Epoch  4, Batch    235, Loss  1.453078, Average Loss  1.447683, Time  0.441903
2021-09-24 06:59:10.147906 : Epoch  4, Batch    236, Loss  1.444232, Average Loss  1.447689, Time  0.438761
2021-09-24 06:59:16.075870 : Epoch  4, Batch    237, Loss  1.448291, Average Loss  1.447643, Time  0.439168
2021-09-24 06:59:22.022852 : Epoch  4, Batch    238, Loss  1.440395, Average Loss  1.447615, Time  0.456361
2021-09-24 06:59:27.970761 : Epoch  4, Batch    239, Loss  1.451659, Average Loss  1.447596, Time  0.440077
2021-09-24 06:59:33.903844 : Epoch  4, Batch    240, Loss  1.439679, Average Loss  1.447513, Time  0.439092
2021-09-24 06:59:39.835497 : Epoch  4, Batch    241, Loss  1.441697, Average Loss  1.447487, Time  0.439959
2021-09-24 06:59:45.789113 : Epoch  4, Batch    242, Loss  1.441785, Average Loss  1.447477, Time  0.441234
2021-09-24 06:59:51.734890 : Epoch  4, Batch    243, Loss  1.456945, Average Loss  1.447488, Time  0.439479
2021-09-24 06:59:57.672127 : Epoch  4, Batch    244, Loss  1.443248, Average Loss  1.447453, Time  0.438551
2021-09-24 07:00:03.610426 : Epoch  4, Batch    245, Loss  1.445473, Average Loss  1.447487, Time  0.440509
2021-09-24 07:00:09.551698 : Epoch  4, Batch    246, Loss  1.442772, Average Loss  1.447449, Time  0.452742
2021-09-24 07:00:15.478489 : Epoch  4, Batch    247, Loss  1.451771, Average Loss  1.447457, Time  0.439087
2021-09-24 07:00:21.418947 : Epoch  4, Batch    248, Loss  1.457644, Average Loss  1.447578, Time  0.439650
2021-09-24 07:00:27.372221 : Epoch  4, Batch    249, Loss  1.452664, Average Loss  1.447613, Time  0.442674
2021-09-24 07:00:33.298521 : Epoch  4, Batch    250, Loss  1.447294, Average Loss  1.447596, Time  0.440714
2021-09-24 07:00:39.236455 : Epoch  4, Batch    251, Loss  1.448335, Average Loss  1.447606, Time  0.439102
2021-09-24 07:00:45.159878 : Epoch  4, Batch    252, Loss  1.444206, Average Loss  1.447590, Time  0.439744
2021-09-24 07:00:51.090847 : Epoch  4, Batch    253, Loss  1.436401, Average Loss  1.447463, Time  0.439775
2021-09-24 07:00:57.035717 : Epoch  4, Batch    254, Loss  1.449870, Average Loss  1.447517, Time  0.451482
2021-09-24 07:01:02.979653 : Epoch  4, Batch    255, Loss  1.431201, Average Loss  1.447363, Time  0.439194
2021-09-24 07:01:08.922779 : Epoch  4, Batch    256, Loss  1.439205, Average Loss  1.447330, Time  0.438756
2021-09-24 07:01:14.860433 : Epoch  4, Batch    257, Loss  1.450342, Average Loss  1.447350, Time  0.441883
2021-09-24 07:01:20.819754 : Epoch  4, Batch    258, Loss  1.468141, Average Loss  1.447452, Time  0.440187
2021-09-24 07:01:26.756183 : Epoch  4, Batch    259, Loss  1.441466, Average Loss  1.447354, Time  0.441713
2021-09-24 07:01:32.684324 : Epoch  4, Batch    260, Loss  1.454300, Average Loss  1.447360, Time  0.439509
2021-09-24 07:01:38.618878 : Epoch  4, Batch    261, Loss  1.459646, Average Loss  1.447381, Time  0.439800
2021-09-24 07:01:43.662971 : CheckPoint: Validation Loss  0.00025207, Best Loss  0.00024587
2021-09-24 07:01:44.573875 : Epoch  4, Batch    262, Loss  1.447116, Average Loss  1.447423, Time  0.457620
2021-09-24 07:01:49.583878 : Epoch  4, Batch    217, Loss  1.464564, Average Loss  1.447557, Time  0.444203
2021-09-24 07:01:50.524162 : Epoch  4, Batch    263, Loss  1.457830, Average Loss  1.447443, Time  0.442366
2021-09-24 07:01:55.526973 : Epoch  4, Batch    218, Loss  1.435281, Average Loss  1.447517, Time  0.446758
2021-09-24 07:01:56.470595 : Epoch  4, Batch    264, Loss  1.458035, Average Loss  1.447456, Time  0.439632
2021-09-24 07:02:01.456479 : Epoch  4, Batch    219, Loss  1.448703, Average Loss  1.447542, Time  0.443934
2021-09-24 07:02:02.407788 : Epoch  4, Batch    265, Loss  1.447114, Average Loss  1.447452, Time  0.439502
2021-09-24 07:02:07.389296 : Epoch  4, Batch    220, Loss  1.444656, Average Loss  1.447524, Time  0.445432
2021-09-24 07:02:08.343899 : Epoch  4, Batch    266, Loss  1.449813, Average Loss  1.447464, Time  0.439076
2021-09-24 07:02:13.320066 : Epoch  4, Batch    221, Loss  1.442904, Average Loss  1.447433, Time  0.447823
2021-09-24 07:02:14.280778 : Epoch  4, Batch    267, Loss  1.448696, Average Loss  1.447478, Time  0.438236
2021-09-24 07:02:19.269989 : Epoch  4, Batch    222, Loss  1.449933, Average Loss  1.447443, Time  0.452240
2021-09-24 07:02:20.221377 : Epoch  4, Batch    268, Loss  1.443665, Average Loss  1.447489, Time  0.438725
2021-09-24 07:02:25.235222 : Epoch  4, Batch    223, Loss  1.455968, Average Loss  1.447493, Time  0.462089
2021-09-24 07:02:26.158798 : Epoch  4, Batch    269, Loss  1.465060, Average Loss  1.447559, Time  0.440165
2021-09-24 07:02:31.163939 : Epoch  4, Batch    224, Loss  1.462973, Average Loss  1.447526, Time  0.447492
2021-09-24 07:02:32.102403 : Epoch  4, Batch    270, Loss  1.454408, Average Loss  1.447594, Time  0.453854
2021-09-24 07:02:37.090906 : Epoch  4, Batch    225, Loss  1.451455, Average Loss  1.447590, Time  0.444064
2021-09-24 07:02:38.032005 : Epoch  4, Batch    271, Loss  1.454921, Average Loss  1.447588, Time  0.439474
2021-09-24 07:02:43.004421 : Epoch  4, Batch    226, Loss  1.438656, Average Loss  1.447532, Time  0.444157
2021-09-24 07:02:43.971984 : Epoch  4, Batch    272, Loss  1.450198, Average Loss  1.447597, Time  0.443396
2021-09-24 07:02:48.941738 : Epoch  4, Batch    227, Loss  1.461402, Average Loss  1.447573, Time  0.443887
2021-09-24 07:02:49.909646 : Epoch  4, Batch    273, Loss  1.446640, Average Loss  1.447636, Time  0.439051
2021-09-24 07:02:54.861861 : Epoch  4, Batch    228, Loss  1.444435, Average Loss  1.447519, Time  0.444728
2021-09-24 07:02:55.844648 : Epoch  4, Batch    274, Loss  1.460322, Average Loss  1.447685, Time  0.442707
2021-09-24 07:03:00.781786 : Epoch  4, Batch    229, Loss  1.455342, Average Loss  1.447537, Time  0.443283
2021-09-24 07:03:01.788369 : Epoch  4, Batch    275, Loss  1.460473, Average Loss  1.447753, Time  0.439611
2021-09-24 07:03:06.704817 : Epoch  4, Batch    230, Loss  1.442069, Average Loss  1.447543, Time  0.444424
2021-09-24 07:03:07.721121 : Epoch  4, Batch    276, Loss  1.446426, Average Loss  1.447714, Time  0.438153
2021-09-24 07:03:12.660674 : Epoch  4, Batch    231, Loss  1.432386, Average Loss  1.447515, Time  0.459746
2021-09-24 07:03:13.683707 : Epoch  4, Batch    277, Loss  1.448811, Average Loss  1.447699, Time  0.439870
2021-09-24 07:03:18.597168 : Epoch  4, Batch    232, Loss  1.438608, Average Loss  1.447455, Time  0.443890
2021-09-24 07:03:19.620190 : Epoch  4, Batch    278, Loss  1.444058, Average Loss  1.447712, Time  0.449301
2021-09-24 07:03:24.535120 : Epoch  4, Batch    233, Loss  1.443496, Average Loss  1.447409, Time  0.443651
2021-09-24 07:03:25.559639 : Epoch  4, Batch    279, Loss  1.457928, Average Loss  1.447754, Time  0.442553
2021-09-24 07:03:30.474059 : Epoch  4, Batch    234, Loss  1.448886, Average Loss  1.447462, Time  0.446168
2021-09-24 07:03:31.493812 : Epoch  4, Batch    280, Loss  1.449574, Average Loss  1.447809, Time  0.441020
2021-09-24 07:03:36.400321 : Epoch  4, Batch    235, Loss  1.449680, Average Loss  1.447436, Time  0.447583
2021-09-24 07:03:37.416218 : Epoch  4, Batch    281, Loss  1.454842, Average Loss  1.447864, Time  0.438450
2021-09-24 07:03:42.316446 : Epoch  4, Batch    236, Loss  1.447067, Average Loss  1.447437, Time  0.442803
2021-09-24 07:03:43.339783 : Epoch  4, Batch    282, Loss  1.446273, Average Loss  1.447773, Time  0.439455
2021-09-24 07:03:48.272274 : Epoch  4, Batch    237, Loss  1.451069, Average Loss  1.447462, Time  0.442650
2021-09-24 07:03:49.285352 : Epoch  4, Batch    283, Loss  1.447270, Average Loss  1.447722, Time  0.439527
2021-09-24 07:03:54.205412 : Epoch  4, Batch    238, Loss  1.442685, Average Loss  1.447436, Time  0.446464
2021-09-24 07:03:55.233182 : Epoch  4, Batch    284, Loss  1.446149, Average Loss  1.447774, Time  0.438563
2021-09-24 07:04:00.156756 : Epoch  4, Batch    239, Loss  1.451822, Average Loss  1.447502, Time  0.457785
2021-09-24 07:04:01.165870 : Epoch  4, Batch    285, Loss  1.444389, Average Loss  1.447770, Time  0.442766
2021-09-24 07:04:06.091849 : Epoch  4, Batch    240, Loss  1.442645, Average Loss  1.447424, Time  0.444466
2021-09-24 07:04:07.101085 : Epoch  4, Batch    286, Loss  1.434838, Average Loss  1.447708, Time  0.455700
2021-09-24 07:04:11.507426 : Epoch  4, Batch    287, Loss  1.441573, Average Loss  1.447709, Time  0.342095
2021-09-24 07:04:12.027482 : Epoch  4, Batch    241, Loss  1.438943, Average Loss  1.447353, Time  0.443840
2021-09-24 07:04:17.439205 : Epoch  4, Batch    288, Loss  1.444080, Average Loss  1.447691, Time  0.438531
2021-09-24 07:04:17.933290 : Epoch  4, Batch    242, Loss  1.446027, Average Loss  1.447382, Time  0.443842
2021-09-24 07:04:23.381390 : Epoch  4, Batch    289, Loss  1.446301, Average Loss  1.447705, Time  0.440416
2021-09-24 07:04:23.858202 : Epoch  4, Batch    243, Loss  1.458944, Average Loss  1.447464, Time  0.445829
2021-09-24 07:04:29.340483 : Epoch  4, Batch    290, Loss  1.462073, Average Loss  1.447783, Time  0.438714
2021-09-24 07:04:29.791386 : Epoch  4, Batch    244, Loss  1.461161, Average Loss  1.447552, Time  0.446882
2021-09-24 07:04:35.278106 : Epoch  4, Batch    291, Loss  1.450959, Average Loss  1.447793, Time  0.440611
2021-09-24 07:04:35.738613 : Epoch  4, Batch    245, Loss  1.449497, Average Loss  1.447590, Time  0.447243
2021-09-24 07:04:41.221887 : Epoch  4, Batch    292, Loss  1.455206, Average Loss  1.447823, Time  0.440442
2021-09-24 07:04:41.672769 : Epoch  4, Batch    246, Loss  1.455569, Average Loss  1.447562, Time  0.443408
2021-09-24 07:04:47.165523 : Epoch  4, Batch    293, Loss  1.443901, Average Loss  1.447775, Time  0.439070
2021-09-24 07:04:47.617993 : Epoch  4, Batch    247, Loss  1.440552, Average Loss  1.447522, Time  0.457987
2021-09-24 07:04:53.126645 : Epoch  4, Batch    294, Loss  1.445371, Average Loss  1.447795, Time  0.453162
2021-09-24 07:04:53.538360 : Epoch  4, Batch    248, Loss  1.440134, Average Loss  1.447456, Time  0.446242
2021-09-24 07:04:59.065720 : Epoch  4, Batch    295, Loss  1.468343, Average Loss  1.447848, Time  0.441701
2021-09-24 07:04:59.501531 : Epoch  4, Batch    249, Loss  1.459614, Average Loss  1.447480, Time  0.444047
2021-09-24 07:05:04.992056 : Epoch  4, Batch    296, Loss  1.443800, Average Loss  1.447861, Time  0.439962
2021-09-24 07:05:05.427431 : Epoch  4, Batch    250, Loss  1.453018, Average Loss  1.447533, Time  0.446049
2021-09-24 07:05:10.928424 : Epoch  4, Batch    297, Loss  1.440279, Average Loss  1.447804, Time  0.440886
2021-09-24 07:05:11.356129 : Epoch  4, Batch    251, Loss  1.449864, Average Loss  1.447547, Time  0.443774
2021-09-24 07:05:16.859012 : Epoch  4, Batch    298, Loss  1.454741, Average Loss  1.447858, Time  0.439448
2021-09-24 07:05:17.274239 : Epoch  4, Batch    252, Loss  1.448832, Average Loss  1.447581, Time  0.445802
2021-09-24 07:05:22.789561 : Epoch  4, Batch    299, Loss  1.446152, Average Loss  1.447839, Time  0.440053
2021-09-24 07:05:23.201832 : Epoch  4, Batch    253, Loss  1.446037, Average Loss  1.447568, Time  0.444340
2021-09-24 07:05:28.735539 : Epoch  4, Batch    300, Loss  1.434581, Average Loss  1.447860, Time  0.440216
2021-09-24 07:05:29.125035 : Epoch  4, Batch    254, Loss  1.456632, Average Loss  1.447602, Time  0.443994
2021-09-24 07:05:34.662222 : Epoch  4, Batch    301, Loss  1.456800, Average Loss  1.447831, Time  0.442798
2021-09-24 07:05:35.052171 : Epoch  4, Batch    255, Loss  1.442756, Average Loss  1.447515, Time  0.460164
2021-09-24 07:05:40.617926 : Epoch  4, Batch    302, Loss  1.457677, Average Loss  1.447902, Time  0.451791
2021-09-24 07:05:41.115405 : Epoch  4, Batch    256, Loss  1.445136, Average Loss  1.447516, Time  0.444844
2021-09-24 07:05:46.557885 : Epoch  4, Batch    303, Loss  1.452201, Average Loss  1.447899, Time  0.446401
2021-09-24 07:05:47.048701 : Epoch  4, Batch    257, Loss  1.447049, Average Loss  1.447514, Time  0.445569
2021-09-24 07:05:52.499238 : Epoch  4, Batch    304, Loss  1.442734, Average Loss  1.447800, Time  0.442470
2021-09-24 07:05:53.005484 : Epoch  4, Batch    258, Loss  1.467124, Average Loss  1.447650, Time  0.443329
2021-09-24 07:05:58.462775 : Epoch  4, Batch    305, Loss  1.450241, Average Loss  1.447795, Time  0.445329
2021-09-24 07:05:59.000353 : Epoch  4, Batch    259, Loss  1.448658, Average Loss  1.447679, Time  0.444655
2021-09-24 07:06:04.400722 : Epoch  4, Batch    306, Loss  1.438736, Average Loss  1.447707, Time  0.437973
2021-09-24 07:06:05.017434 : Epoch  4, Batch    260, Loss  1.447007, Average Loss  1.447695, Time  0.442990
2021-09-24 07:06:10.340920 : Epoch  4, Batch    307, Loss  1.448772, Average Loss  1.447739, Time  0.440670
2021-09-24 07:06:11.026871 : Epoch  4, Batch    261, Loss  1.457452, Average Loss  1.447753, Time  0.443245
2021-09-24 07:06:16.274825 : Epoch  4, Batch    308, Loss  1.448694, Average Loss  1.447703, Time  0.438617
2021-09-24 07:06:17.038986 : Epoch  4, Batch    262, Loss  1.446306, Average Loss  1.447675, Time  0.444006
2021-09-24 07:06:22.215750 : Epoch  4, Batch    309, Loss  1.457039, Average Loss  1.447703, Time  0.438540
2021-09-24 07:06:23.073908 : Epoch  4, Batch    263, Loss  1.452899, Average Loss  1.447743, Time  0.458269
2021-09-24 07:06:28.169619 : Epoch  4, Batch    310, Loss  1.437203, Average Loss  1.447624, Time  0.455120
2021-09-24 07:06:29.089495 : Epoch  4, Batch    264, Loss  1.453096, Average Loss  1.447817, Time  0.444124
2021-09-24 07:06:34.121742 : Epoch  4, Batch    311, Loss  1.439190, Average Loss  1.447573, Time  0.441838
2021-09-24 07:06:35.093612 : Epoch  4, Batch    265, Loss  1.439791, Average Loss  1.447816, Time  0.443353
2021-09-24 07:06:40.068920 : Epoch  4, Batch    312, Loss  1.452245, Average Loss  1.447623, Time  0.446477
2021-09-24 07:06:41.106871 : Epoch  4, Batch    266, Loss  1.455320, Average Loss  1.447880, Time  0.451386
2021-09-24 07:06:46.003011 : Epoch  4, Batch    313, Loss  1.455756, Average Loss  1.447711, Time  0.439417
2021-09-24 07:06:47.105192 : Epoch  4, Batch    267, Loss  1.442220, Average Loss  1.447825, Time  0.444553
2021-09-24 07:06:51.932756 : Epoch  4, Batch    314, Loss  1.451134, Average Loss  1.447767, Time  0.438221
2021-09-24 07:06:53.101965 : Epoch  4, Batch    268, Loss  1.451434, Average Loss  1.447839, Time  0.446738
2021-09-24 07:06:57.871711 : Epoch  4, Batch    315, Loss  1.440731, Average Loss  1.447705, Time  0.439040
2021-09-24 07:06:59.116348 : Epoch  4, Batch    269, Loss  1.452804, Average Loss  1.447845, Time  0.444192
2021-09-24 07:07:03.818166 : Epoch  4, Batch    316, Loss  1.447965, Average Loss  1.447724, Time  0.441039
2021-09-24 07:07:05.123562 : Epoch  4, Batch    270, Loss  1.436654, Average Loss  1.447744, Time  0.445304
2021-09-24 07:07:11.168708 : Epoch  4, Batch    271, Loss  1.453264, Average Loss  1.447786, Time  0.460277
2021-09-24 07:07:17.180553 : Epoch  4, Batch    272, Loss  1.455928, Average Loss  1.447829, Time  0.443436
2021-09-24 07:07:23.176842 : Epoch  4, Batch    273, Loss  1.436705, Average Loss  1.447717, Time  0.443096
2021-09-24 07:07:29.192095 : Epoch  4, Batch    274, Loss  1.436995, Average Loss  1.447593, Time  0.446419
2021-09-24 07:07:35.199781 : Epoch  4, Batch    275, Loss  1.434284, Average Loss  1.447558, Time  0.446530
2021-09-24 07:07:41.194059 : Epoch  4, Batch    276, Loss  1.440870, Average Loss  1.447549, Time  0.445355
2021-09-24 07:07:47.197360 : Epoch  4, Batch    277, Loss  1.448496, Average Loss  1.447525, Time  0.447171
2021-09-24 07:07:53.192952 : Epoch  4, Batch    278, Loss  1.446927, Average Loss  1.447560, Time  0.443015
2021-09-24 07:07:59.197762 : Epoch  4, Batch    279, Loss  1.454065, Average Loss  1.447627, Time  0.453275
2021-09-24 07:08:05.210860 : Epoch  4, Batch    280, Loss  1.442990, Average Loss  1.447597, Time  0.444969
2021-09-24 07:08:11.218196 : Epoch  4, Batch    281, Loss  1.441844, Average Loss  1.447567, Time  0.443361
2021-09-24 07:08:17.205534 : Epoch  4, Batch    282, Loss  1.435820, Average Loss  1.447540, Time  0.445420
2021-09-24 07:08:23.207234 : Epoch  4, Batch    283, Loss  1.456845, Average Loss  1.447636, Time  0.447883
2021-09-24 07:08:29.198480 : Epoch  4, Batch    284, Loss  1.446822, Average Loss  1.447602, Time  0.443138
2021-09-24 07:08:35.200769 : Epoch  4, Batch    285, Loss  1.438985, Average Loss  1.447526, Time  0.446601
2021-09-24 07:08:41.208275 : Epoch  4, Batch    286, Loss  1.436489, Average Loss  1.447485, Time  0.443916
2021-09-24 07:08:47.228715 : Epoch  4, Batch    287, Loss  1.454011, Average Loss  1.447462, Time  0.459955
2021-09-24 07:08:53.238871 : Epoch  4, Batch    288, Loss  1.456832, Average Loss  1.447485, Time  0.446941
2021-09-24 07:08:59.258682 : Epoch  4, Batch    289, Loss  1.443649, Average Loss  1.447487, Time  0.447434
2021-09-24 07:09:05.262504 : Epoch  4, Batch    290, Loss  1.450459, Average Loss  1.447462, Time  0.444246
2021-09-24 07:09:11.263415 : Epoch  4, Batch    291, Loss  1.452160, Average Loss  1.447483, Time  0.443025
2021-09-24 07:09:17.271836 : Epoch  4, Batch    292, Loss  1.438573, Average Loss  1.447439, Time  0.445759
2021-09-24 07:09:23.278996 : Epoch  4, Batch    293, Loss  1.447642, Average Loss  1.447389, Time  0.446202
2021-09-24 07:09:29.279455 : Epoch  4, Batch    294, Loss  1.442222, Average Loss  1.447347, Time  0.445517
2021-09-24 07:09:35.291404 : Epoch  4, Batch    295, Loss  1.452347, Average Loss  1.447341, Time  0.453387
2021-09-24 07:09:41.282771 : Epoch  4, Batch    296, Loss  1.443288, Average Loss  1.447287, Time  0.446211
2021-09-24 07:09:47.285318 : Epoch  4, Batch    297, Loss  1.445498, Average Loss  1.447327, Time  0.442635
2021-09-24 07:09:53.294242 : Epoch  4, Batch    298, Loss  1.459078, Average Loss  1.447342, Time  0.447436
2021-09-24 07:09:59.294802 : Epoch  4, Batch    299, Loss  1.457132, Average Loss  1.447370, Time  0.445371
2021-09-24 07:10:05.283659 : Epoch  4, Batch    300, Loss  1.462327, Average Loss  1.447388, Time  0.443326
2021-09-24 07:10:11.308137 : Epoch  4, Batch    301, Loss  1.450769, Average Loss  1.447424, Time  0.444299
2021-09-24 07:10:17.312524 : Epoch  4, Batch    302, Loss  1.454038, Average Loss  1.447451, Time  0.444767
2021-09-24 07:10:23.328899 : Epoch  4, Batch    303, Loss  1.458751, Average Loss  1.447562, Time  0.459821
2021-09-24 07:10:29.334143 : Epoch  4, Batch    304, Loss  1.450547, Average Loss  1.447536, Time  0.444797
2021-09-24 07:10:35.342781 : Epoch  4, Batch    305, Loss  1.463698, Average Loss  1.447683, Time  0.445702
2021-09-24 07:10:41.346406 : Epoch  4, Batch    306, Loss  1.466162, Average Loss  1.447726, Time  0.445590
2021-09-24 07:10:47.363738 : Epoch  4, Batch    307, Loss  1.435539, Average Loss  1.447719, Time  0.443692
2021-09-24 07:10:53.378096 : Epoch  4, Batch    308, Loss  1.455078, Average Loss  1.447781, Time  0.444175
2021-09-24 07:10:59.406613 : Epoch  4, Batch    309, Loss  1.461849, Average Loss  1.447903, Time  0.445312
2021-09-24 07:11:05.417091 : Epoch  4, Batch    310, Loss  1.447965, Average Loss  1.447946, Time  0.447172
2021-09-24 07:11:11.431599 : Epoch  4, Batch    311, Loss  1.450168, Average Loss  1.447977, Time  0.452987
2021-09-24 07:11:17.435490 : Epoch  4, Batch    312, Loss  1.448356, Average Loss  1.447970, Time  0.445023
2021-09-24 07:11:23.448279 : Epoch  4, Batch    313, Loss  1.452630, Average Loss  1.448024, Time  0.447018
2021-09-24 07:11:29.450140 : Epoch  4, Batch    314, Loss  1.450604, Average Loss  1.448057, Time  0.443550
2021-09-24 07:11:35.453901 : Epoch  4, Batch    315, Loss  1.439925, Average Loss  1.448096, Time  0.442906
2021-09-24 07:11:41.448047 : Epoch  4, Batch    316, Loss  1.444939, Average Loss  1.448091, Time  0.445832
2021-09-24 07:11:42.170530 : CheckPoint: Validation Loss  0.00025161, Best Loss  0.00024726
2021-09-24 07:11:48.156867 : Epoch  4, Batch    317, Loss  1.447202, Average Loss  1.447742, Time  0.451432
2021-09-24 07:11:54.100468 : Epoch  4, Batch    318, Loss  1.449711, Average Loss  1.447708, Time  0.439295
2021-09-24 07:12:00.044953 : Epoch  4, Batch    319, Loss  1.451317, Average Loss  1.447761, Time  0.438682
2021-09-24 07:12:05.986952 : Epoch  4, Batch    320, Loss  1.468295, Average Loss  1.447879, Time  0.439565
2021-09-24 07:12:11.932858 : Epoch  4, Batch    321, Loss  1.442702, Average Loss  1.447904, Time  0.440445
2021-09-24 07:12:17.881884 : Epoch  4, Batch    322, Loss  1.449706, Average Loss  1.447974, Time  0.441331
2021-09-24 07:12:23.822826 : Epoch  4, Batch    323, Loss  1.466209, Average Loss  1.448091, Time  0.438605
2021-09-24 07:12:29.797885 : Epoch  4, Batch    324, Loss  1.452531, Average Loss  1.448148, Time  0.448238
2021-09-24 07:12:35.754491 : Epoch  4, Batch    325, Loss  1.462791, Average Loss  1.448180, Time  0.457799
2021-09-24 07:12:41.696399 : Epoch  4, Batch    326, Loss  1.455522, Average Loss  1.448189, Time  0.440566
2021-09-24 07:12:47.634854 : Epoch  4, Batch    327, Loss  1.453680, Average Loss  1.448182, Time  0.439950
2021-09-24 07:12:53.585272 : Epoch  4, Batch    328, Loss  1.438696, Average Loss  1.448142, Time  0.439612
2021-09-24 07:12:59.542932 : Epoch  4, Batch    329, Loss  1.451356, Average Loss  1.448201, Time  0.439835
2021-09-24 07:13:05.485095 : Epoch  4, Batch    330, Loss  1.454208, Average Loss  1.448164, Time  0.438833
2021-09-24 07:13:11.427300 : Epoch  4, Batch    331, Loss  1.450249, Average Loss  1.448144, Time  0.440316
2021-09-24 07:13:17.366829 : Epoch  4, Batch    332, Loss  1.455477, Average Loss  1.448152, Time  0.439720
2021-09-24 07:13:23.320784 : Epoch  4, Batch    333, Loss  1.458239, Average Loss  1.448211, Time  0.454160
2021-09-24 07:13:29.257215 : Epoch  4, Batch    334, Loss  1.432608, Average Loss  1.448136, Time  0.441387
2021-09-24 07:13:35.197493 : Epoch  4, Batch    335, Loss  1.449147, Average Loss  1.448125, Time  0.438477
2021-09-24 07:13:41.148197 : Epoch  4, Batch    336, Loss  1.458040, Average Loss  1.448161, Time  0.439689
2021-09-24 07:13:47.090723 : Epoch  4, Batch    337, Loss  1.439346, Average Loss  1.448164, Time  0.443363
2021-09-24 07:13:53.032461 : Epoch  4, Batch    338, Loss  1.436353, Average Loss  1.448124, Time  0.441220
2021-09-24 07:13:58.981751 : Epoch  4, Batch    339, Loss  1.448208, Average Loss  1.448161, Time  0.438828
2021-09-24 07:14:04.951576 : Epoch  4, Batch    340, Loss  1.447221, Average Loss  1.448084, Time  0.453584
2021-09-24 07:14:10.892646 : Epoch  4, Batch    341, Loss  1.429628, Average Loss  1.447985, Time  0.439487
2021-09-24 07:14:16.839238 : Epoch  4, Batch    342, Loss  1.458680, Average Loss  1.448056, Time  0.439117
2021-09-24 07:14:22.764294 : Epoch  4, Batch    343, Loss  1.462528, Average Loss  1.448084, Time  0.442650
2021-09-24 07:14:28.696920 : Epoch  4, Batch    344, Loss  1.444937, Average Loss  1.448013, Time  0.440570
2021-09-24 07:14:34.634870 : Epoch  4, Batch    345, Loss  1.439996, Average Loss  1.448030, Time  0.439037
2021-09-24 07:14:40.571172 : Epoch  4, Batch    346, Loss  1.450225, Average Loss  1.448036, Time  0.440311
2021-09-24 07:14:46.520226 : Epoch  4, Batch    347, Loss  1.455105, Average Loss  1.448082, Time  0.438865
2021-09-24 07:14:52.473001 : Epoch  4, Batch    348, Loss  1.461315, Average Loss  1.448126, Time  0.450413
2021-09-24 07:14:58.409801 : Epoch  4, Batch    349, Loss  1.468124, Average Loss  1.448243, Time  0.438240
2021-09-24 07:15:04.338736 : Epoch  4, Batch    350, Loss  1.448392, Average Loss  1.448328, Time  0.438519
2021-09-24 07:15:10.291024 : Epoch  4, Batch    351, Loss  1.444080, Average Loss  1.448262, Time  0.438668
2021-09-24 07:15:16.241497 : Epoch  4, Batch    352, Loss  1.449825, Average Loss  1.448342, Time  0.440322
2021-09-24 07:15:22.194744 : Epoch  4, Batch    353, Loss  1.447289, Average Loss  1.448344, Time  0.441543
2021-09-24 07:15:28.127416 : Epoch  4, Batch    354, Loss  1.442339, Average Loss  1.448364, Time  0.438748
2021-09-24 07:15:34.053766 : Epoch  4, Batch    355, Loss  1.444379, Average Loss  1.448391, Time  0.438005
2021-09-24 07:15:40.009375 : Epoch  4, Batch    356, Loss  1.441944, Average Loss  1.448386, Time  0.455457
2021-09-24 07:15:45.961110 : Epoch  4, Batch    357, Loss  1.453486, Average Loss  1.448402, Time  0.449032
2021-09-24 07:15:51.898832 : Epoch  4, Batch    358, Loss  1.452805, Average Loss  1.448429, Time  0.444249
2021-09-24 07:15:57.831792 : Epoch  4, Batch    359, Loss  1.438902, Average Loss  1.448390, Time  0.447945
2021-09-24 07:16:03.760475 : Epoch  4, Batch    360, Loss  1.442669, Average Loss  1.448357, Time  0.443413
2021-09-24 07:16:09.689120 : Epoch  4, Batch    361, Loss  1.448436, Average Loss  1.448378, Time  0.438522
2021-09-24 07:16:15.620893 : Epoch  4, Batch    362, Loss  1.452009, Average Loss  1.448368, Time  0.439490
2021-09-24 07:16:19.223404 : CheckPoint: Validation Loss  0.00025050, Best Loss  0.00024587
2021-09-24 07:16:21.573152 : Epoch  4, Batch    363, Loss  1.462011, Average Loss  1.448481, Time  0.439488
2021-09-24 07:16:25.203994 : Epoch  4, Batch    317, Loss  1.440581, Average Loss  1.448009, Time  0.447228
2021-09-24 07:16:27.542335 : Epoch  4, Batch    364, Loss  1.450654, Average Loss  1.448475, Time  0.454365
2021-09-24 07:16:31.259760 : Epoch  4, Batch    318, Loss  1.453488, Average Loss  1.448061, Time  0.452169
2021-09-24 07:16:33.503654 : Epoch  4, Batch    365, Loss  1.441682, Average Loss  1.448459, Time  0.441876
2021-09-24 07:16:37.258694 : Epoch  4, Batch    319, Loss  1.453151, Average Loss  1.448071, Time  0.443284
2021-09-24 07:16:39.447902 : Epoch  4, Batch    366, Loss  1.445610, Average Loss  1.448481, Time  0.438725
2021-09-24 07:16:43.255210 : Epoch  4, Batch    320, Loss  1.439498, Average Loss  1.448059, Time  0.445596
2021-09-24 07:16:45.374461 : Epoch  4, Batch    367, Loss  1.450642, Average Loss  1.448475, Time  0.438825
2021-09-24 07:16:49.251545 : Epoch  4, Batch    321, Loss  1.453829, Average Loss  1.448093, Time  0.443209
2021-09-24 07:16:51.318108 : Epoch  4, Batch    368, Loss  1.454332, Average Loss  1.448448, Time  0.439882
2021-09-24 07:16:55.267943 : Epoch  4, Batch    322, Loss  1.446500, Average Loss  1.448086, Time  0.443636
2021-09-24 07:16:57.271503 : Epoch  4, Batch    369, Loss  1.443356, Average Loss  1.448427, Time  0.443010
2021-09-24 07:17:01.278062 : Epoch  4, Batch    323, Loss  1.438423, Average Loss  1.448052, Time  0.443845
2021-09-24 07:17:03.212688 : Epoch  4, Batch    370, Loss  1.429131, Average Loss  1.448306, Time  0.444618
2021-09-24 07:17:07.294025 : Epoch  4, Batch    324, Loss  1.453472, Average Loss  1.448063, Time  0.446555
2021-09-24 07:17:09.180155 : Epoch  4, Batch    371, Loss  1.452617, Average Loss  1.448291, Time  0.451991
2021-09-24 07:17:13.296811 : Epoch  4, Batch    325, Loss  1.454272, Average Loss  1.448079, Time  0.444790
2021-09-24 07:17:15.116472 : Epoch  4, Batch    372, Loss  1.444651, Average Loss  1.448248, Time  0.439852
2021-09-24 07:17:19.317956 : Epoch  4, Batch    326, Loss  1.447933, Average Loss  1.448134, Time  0.457696
2021-09-24 07:17:21.057694 : Epoch  4, Batch    373, Loss  1.457057, Average Loss  1.448325, Time  0.440652
2021-09-24 07:17:25.331984 : Epoch  4, Batch    327, Loss  1.435670, Average Loss  1.448071, Time  0.442864
2021-09-24 07:17:26.997772 : Epoch  4, Batch    374, Loss  1.461592, Average Loss  1.448366, Time  0.442340
2021-09-24 07:17:31.369391 : Epoch  4, Batch    328, Loss  1.450707, Average Loss  1.448071, Time  0.446048
2021-09-24 07:17:32.934193 : Epoch  4, Batch    375, Loss  1.436043, Average Loss  1.448337, Time  0.440327
2021-09-24 07:17:37.361822 : Epoch  4, Batch    329, Loss  1.450874, Average Loss  1.448046, Time  0.445521
2021-09-24 07:17:38.866982 : Epoch  4, Batch    376, Loss  1.442712, Average Loss  1.448287, Time  0.441208
2021-09-24 07:17:43.352732 : Epoch  4, Batch    330, Loss  1.450965, Average Loss  1.447999, Time  0.443060
2021-09-24 07:17:44.799300 : Epoch  4, Batch    377, Loss  1.449795, Average Loss  1.448303, Time  0.442310
2021-09-24 07:17:49.367352 : Epoch  4, Batch    331, Loss  1.447480, Average Loss  1.448048, Time  0.443947
2021-09-24 07:17:50.726174 : Epoch  4, Batch    378, Loss  1.449647, Average Loss  1.448360, Time  0.440340
2021-09-24 07:17:55.383873 : Epoch  4, Batch    332, Loss  1.442216, Average Loss  1.448021, Time  0.445158
2021-09-24 07:17:56.668753 : Epoch  4, Batch    379, Loss  1.454126, Average Loss  1.448396, Time  0.448141
2021-09-24 07:18:01.398280 : Epoch  4, Batch    333, Loss  1.452240, Average Loss  1.448059, Time  0.444167
2021-09-24 07:18:02.612182 : Epoch  4, Batch    380, Loss  1.434558, Average Loss  1.448280, Time  0.438848
2021-09-24 07:18:07.411549 : Epoch  4, Batch    334, Loss  1.458568, Average Loss  1.448146, Time  0.458541
2021-09-24 07:18:08.568847 : Epoch  4, Batch    381, Loss  1.447306, Average Loss  1.448292, Time  0.439662
2021-09-24 07:18:13.418077 : Epoch  4, Batch    335, Loss  1.446259, Average Loss  1.448086, Time  0.443652
2021-09-24 07:18:14.514127 : Epoch  4, Batch    382, Loss  1.451140, Average Loss  1.448307, Time  0.438564
2021-09-24 07:18:19.459951 : Epoch  4, Batch    336, Loss  1.455089, Average Loss  1.448079, Time  0.457305
2021-09-24 07:18:20.458532 : Epoch  4, Batch    383, Loss  1.451014, Average Loss  1.448342, Time  0.444573
2021-09-24 07:18:25.458566 : Epoch  4, Batch    337, Loss  1.438205, Average Loss  1.448028, Time  0.448372
2021-09-24 07:18:26.410717 : Epoch  4, Batch    384, Loss  1.450566, Average Loss  1.448318, Time  0.439179
2021-09-24 07:18:31.463860 : Epoch  4, Batch    338, Loss  1.445983, Average Loss  1.448020, Time  0.444402
2021-09-24 07:18:32.364618 : Epoch  4, Batch    385, Loss  1.453092, Average Loss  1.448407, Time  0.450432
2021-09-24 07:18:37.480807 : Epoch  4, Batch    339, Loss  1.465022, Average Loss  1.448081, Time  0.446564
2021-09-24 07:18:38.307590 : Epoch  4, Batch    386, Loss  1.441177, Average Loss  1.448395, Time  0.440193
2021-09-24 07:18:43.505160 : Epoch  4, Batch    340, Loss  1.451210, Average Loss  1.448073, Time  0.443368
2021-09-24 07:18:44.261981 : Epoch  4, Batch    387, Loss  1.453285, Average Loss  1.448470, Time  0.450249
2021-09-24 07:18:49.556736 : Epoch  4, Batch    341, Loss  1.446056, Average Loss  1.448043, Time  0.457807
2021-09-24 07:18:50.205978 : Epoch  4, Batch    388, Loss  1.441513, Average Loss  1.448460, Time  0.439584
2021-09-24 07:18:55.563392 : Epoch  4, Batch    342, Loss  1.457174, Average Loss  1.448007, Time  0.445267
2021-09-24 07:18:56.145356 : Epoch  4, Batch    389, Loss  1.444009, Average Loss  1.448477, Time  0.439703
2021-09-24 07:19:01.579228 : Epoch  4, Batch    343, Loss  1.452147, Average Loss  1.448046, Time  0.447363
2021-09-24 07:19:02.087295 : Epoch  4, Batch    390, Loss  1.446308, Average Loss  1.448415, Time  0.439843
2021-09-24 07:19:07.606861 : Epoch  4, Batch    344, Loss  1.464664, Average Loss  1.448074, Time  0.454222
2021-09-24 07:19:08.021222 : Epoch  4, Batch    391, Loss  1.439035, Average Loss  1.448404, Time  0.439642
2021-09-24 07:19:13.620929 : Epoch  4, Batch    345, Loss  1.445772, Average Loss  1.448126, Time  0.444399
2021-09-24 07:19:13.955303 : Epoch  4, Batch    392, Loss  1.456411, Average Loss  1.448487, Time  0.445654
2021-09-24 07:19:19.640081 : Epoch  4, Batch    346, Loss  1.449721, Average Loss  1.448108, Time  0.449041
2021-09-24 07:19:19.890644 : Epoch  4, Batch    393, Loss  1.429797, Average Loss  1.448392, Time  0.442358
2021-09-24 07:19:25.652880 : Epoch  4, Batch    347, Loss  1.446948, Average Loss  1.448112, Time  0.443545
2021-09-24 07:19:25.826507 : Epoch  4, Batch    394, Loss  1.457274, Average Loss  1.448415, Time  0.440614
2021-09-24 07:19:31.664831 : Epoch  4, Batch    348, Loss  1.467069, Average Loss  1.448206, Time  0.443902
2021-09-24 07:19:31.765746 : Epoch  4, Batch    395, Loss  1.460330, Average Loss  1.448493, Time  0.448416
2021-09-24 07:19:37.682117 : Epoch  4, Batch    396, Loss  1.439280, Average Loss  1.448461, Time  0.439296
2021-09-24 07:19:37.720157 : Epoch  4, Batch    349, Loss  1.451312, Average Loss  1.448224, Time  0.458079
2021-09-24 07:19:43.622558 : Epoch  4, Batch    397, Loss  1.443042, Average Loss  1.448397, Time  0.444928
2021-09-24 07:19:43.716685 : Epoch  4, Batch    350, Loss  1.447090, Average Loss  1.448202, Time  0.445321
2021-09-24 07:19:49.566794 : Epoch  4, Batch    398, Loss  1.458821, Average Loss  1.448408, Time  0.441099
2021-09-24 07:19:49.728560 : Epoch  4, Batch    351, Loss  1.446564, Average Loss  1.448163, Time  0.443563
2021-09-24 07:19:55.496929 : Epoch  4, Batch    399, Loss  1.440868, Average Loss  1.448314, Time  0.439183
2021-09-24 07:19:55.718797 : Epoch  4, Batch    352, Loss  1.446986, Average Loss  1.448170, Time  0.444907
2021-09-24 07:20:01.438906 : Epoch  4, Batch    400, Loss  1.449763, Average Loss  1.448396, Time  0.439638
2021-09-24 07:20:01.722881 : Epoch  4, Batch    353, Loss  1.447902, Average Loss  1.448119, Time  0.443756
2021-09-24 07:20:07.365746 : Epoch  4, Batch    401, Loss  1.447013, Average Loss  1.448440, Time  0.438895
2021-09-24 07:20:07.721424 : Epoch  4, Batch    354, Loss  1.456555, Average Loss  1.448195, Time  0.443717
2021-09-24 07:20:13.299793 : Epoch  4, Batch    402, Loss  1.453516, Average Loss  1.448423, Time  0.439940
2021-09-24 07:20:13.715846 : Epoch  4, Batch    355, Loss  1.447359, Average Loss  1.448201, Time  0.443864
2021-09-24 07:20:19.246678 : Epoch  4, Batch    403, Loss  1.437200, Average Loss  1.448413, Time  0.449240
2021-09-24 07:20:19.715834 : Epoch  4, Batch    356, Loss  1.445470, Average Loss  1.448201, Time  0.457413
2021-09-24 07:20:25.178332 : Epoch  4, Batch    404, Loss  1.456992, Average Loss  1.448559, Time  0.439228
2021-09-24 07:20:25.719566 : Epoch  4, Batch    357, Loss  1.451675, Average Loss  1.448187, Time  0.444413
2021-09-24 07:20:31.112430 : Epoch  4, Batch    405, Loss  1.444319, Average Loss  1.448598, Time  0.439951
2021-09-24 07:20:31.724163 : Epoch  4, Batch    358, Loss  1.445121, Average Loss  1.448193, Time  0.443632
2021-09-24 07:20:37.053762 : Epoch  4, Batch    406, Loss  1.455031, Average Loss  1.448690, Time  0.439799
2021-09-24 07:20:37.739290 : Epoch  4, Batch    359, Loss  1.447992, Average Loss  1.448210, Time  0.446246
2021-09-24 07:20:42.990152 : Epoch  4, Batch    407, Loss  1.453711, Average Loss  1.448782, Time  0.444468
2021-09-24 07:20:43.755463 : Epoch  4, Batch    360, Loss  1.458136, Average Loss  1.448252, Time  0.446873
2021-09-24 07:20:48.926504 : Epoch  4, Batch    408, Loss  1.439362, Average Loss  1.448695, Time  0.439270
2021-09-24 07:20:49.767136 : Epoch  4, Batch    361, Loss  1.458104, Average Loss  1.448328, Time  0.443364
2021-09-24 07:20:54.873355 : Epoch  4, Batch    409, Loss  1.436512, Average Loss  1.448698, Time  0.438865
2021-09-24 07:20:55.768303 : Epoch  4, Batch    362, Loss  1.430244, Average Loss  1.448260, Time  0.443124
2021-09-24 07:21:00.808479 : Epoch  4, Batch    410, Loss  1.455543, Average Loss  1.448731, Time  0.438229
2021-09-24 07:21:01.773069 : Epoch  4, Batch    363, Loss  1.446900, Average Loss  1.448226, Time  0.443428
2021-09-24 07:21:06.758702 : Epoch  4, Batch    411, Loss  1.457832, Average Loss  1.448774, Time  0.453478
2021-09-24 07:21:07.787185 : Epoch  4, Batch    364, Loss  1.451559, Average Loss  1.448305, Time  0.456155
2021-09-24 07:21:12.700452 : Epoch  4, Batch    412, Loss  1.442437, Average Loss  1.448847, Time  0.438492
2021-09-24 07:21:13.805077 : Epoch  4, Batch    365, Loss  1.440444, Average Loss  1.448341, Time  0.443657
2021-09-24 07:21:18.638186 : Epoch  4, Batch    413, Loss  1.442436, Average Loss  1.448809, Time  0.440268
2021-09-24 07:21:19.811671 : Epoch  4, Batch    366, Loss  1.446770, Average Loss  1.448378, Time  0.443249
2021-09-24 07:21:24.579007 : Epoch  4, Batch    414, Loss  1.452470, Average Loss  1.448796, Time  0.440530
2021-09-24 07:21:25.826690 : Epoch  4, Batch    367, Loss  1.453404, Average Loss  1.448417, Time  0.446268
2021-09-24 07:21:30.511898 : Epoch  4, Batch    415, Loss  1.443912, Average Loss  1.448757, Time  0.438259
2021-09-24 07:21:31.843467 : Epoch  4, Batch    368, Loss  1.442993, Average Loss  1.448454, Time  0.443127
2021-09-24 07:21:36.443040 : Epoch  4, Batch    416, Loss  1.457002, Average Loss  1.448795, Time  0.439570
2021-09-24 07:21:37.847708 : Epoch  4, Batch    369, Loss  1.444499, Average Loss  1.448437, Time  0.445861
2021-09-24 07:21:43.855462 : Epoch  4, Batch    370, Loss  1.443338, Average Loss  1.448396, Time  0.445757
2021-09-24 07:21:49.854783 : Epoch  4, Batch    371, Loss  1.460174, Average Loss  1.448472, Time  0.459930
2021-09-24 07:21:55.857946 : Epoch  4, Batch    372, Loss  1.457074, Average Loss  1.448505, Time  0.443344
2021-09-24 07:22:01.874621 : Epoch  4, Batch    373, Loss  1.453796, Average Loss  1.448629, Time  0.447035
2021-09-24 07:22:07.895401 : Epoch  4, Batch    374, Loss  1.456789, Average Loss  1.448623, Time  0.443038
2021-09-24 07:22:13.891579 : Epoch  4, Batch    375, Loss  1.441014, Average Loss  1.448598, Time  0.444564
2021-09-24 07:22:19.911666 : Epoch  4, Batch    376, Loss  1.446308, Average Loss  1.448588, Time  0.443362
2021-09-24 07:22:25.926871 : Epoch  4, Batch    377, Loss  1.439016, Average Loss  1.448588, Time  0.443828
2021-09-24 07:22:31.920805 : Epoch  4, Batch    378, Loss  1.445818, Average Loss  1.448550, Time  0.450125
2021-09-24 07:22:37.926805 : Epoch  4, Batch    379, Loss  1.452260, Average Loss  1.448584, Time  0.450032
2021-09-24 07:22:43.933700 : Epoch  4, Batch    380, Loss  1.444390, Average Loss  1.448653, Time  0.448877
2021-09-24 07:22:49.951766 : Epoch  4, Batch    381, Loss  1.446566, Average Loss  1.448651, Time  0.444150
2021-09-24 07:22:55.964969 : Epoch  4, Batch    382, Loss  1.453255, Average Loss  1.448643, Time  0.448709
2021-09-24 07:23:01.967923 : Epoch  4, Batch    383, Loss  1.460829, Average Loss  1.448703, Time  0.446206
2021-09-24 07:23:07.957354 : Epoch  4, Batch    384, Loss  1.435704, Average Loss  1.448591, Time  0.443928
2021-09-24 07:23:13.974931 : Epoch  4, Batch    385, Loss  1.442875, Average Loss  1.448611, Time  0.444798
2021-09-24 07:23:19.994324 : Epoch  4, Batch    386, Loss  1.446315, Average Loss  1.448637, Time  0.455922
2021-09-24 07:23:25.998923 : Epoch  4, Batch    387, Loss  1.444304, Average Loss  1.448632, Time  0.445375
2021-09-24 07:23:32.014277 : Epoch  4, Batch    388, Loss  1.449030, Average Loss  1.448616, Time  0.444813
2021-09-24 07:23:38.024630 : Epoch  4, Batch    389, Loss  1.444251, Average Loss  1.448629, Time  0.447307
2021-09-24 07:23:44.050390 : Epoch  4, Batch    390, Loss  1.448135, Average Loss  1.448642, Time  0.443428
2021-09-24 07:23:50.070672 : Epoch  4, Batch    391, Loss  1.448794, Average Loss  1.448671, Time  0.444528
2021-09-24 07:23:56.095095 : Epoch  4, Batch    392, Loss  1.445966, Average Loss  1.448749, Time  0.447753
2021-09-24 07:24:02.076325 : Epoch  4, Batch    393, Loss  1.439674, Average Loss  1.448760, Time  0.443191
2021-09-24 07:24:08.091616 : Epoch  4, Batch    394, Loss  1.442256, Average Loss  1.448724, Time  0.458890
2021-09-24 07:24:14.094465 : Epoch  4, Batch    395, Loss  1.452836, Average Loss  1.448703, Time  0.445014
2021-09-24 07:24:20.119350 : Epoch  4, Batch    396, Loss  1.448215, Average Loss  1.448705, Time  0.444574
2021-09-24 07:24:26.141124 : Epoch  4, Batch    397, Loss  1.457246, Average Loss  1.448705, Time  0.445008
2021-09-24 07:24:32.167528 : Epoch  4, Batch    398, Loss  1.447417, Average Loss  1.448716, Time  0.449975
2021-09-24 07:24:38.191517 : Epoch  4, Batch    399, Loss  1.444679, Average Loss  1.448653, Time  0.443640
2021-09-24 07:24:44.196185 : Epoch  4, Batch    400, Loss  1.446421, Average Loss  1.448611, Time  0.446979
2021-09-24 07:24:50.202585 : Epoch  4, Batch    401, Loss  1.466204, Average Loss  1.448710, Time  0.443639
2021-09-24 07:24:56.229349 : Epoch  4, Batch    402, Loss  1.453018, Average Loss  1.448719, Time  0.456371
2021-09-24 07:25:02.236575 : Epoch  4, Batch    403, Loss  1.456074, Average Loss  1.448744, Time  0.444888
2021-09-24 07:25:08.246811 : Epoch  4, Batch    404, Loss  1.442693, Average Loss  1.448773, Time  0.444003
2021-09-24 07:25:14.251392 : Epoch  4, Batch    405, Loss  1.444561, Average Loss  1.448798, Time  0.444700
2021-09-24 07:25:20.261172 : Epoch  4, Batch    406, Loss  1.454261, Average Loss  1.448903, Time  0.444873
2021-09-24 07:25:26.277424 : Epoch  4, Batch    407, Loss  1.446166, Average Loss  1.448935, Time  0.444434
2021-09-24 07:25:32.304059 : Epoch  4, Batch    408, Loss  1.452363, Average Loss  1.448963, Time  0.446642
2021-09-24 07:25:38.307613 : Epoch  4, Batch    409, Loss  1.447208, Average Loss  1.448987, Time  0.443946
2021-09-24 07:25:44.329873 : Epoch  4, Batch    410, Loss  1.455871, Average Loss  1.449038, Time  0.469111
2021-09-24 07:25:50.332621 : Epoch  4, Batch    411, Loss  1.444763, Average Loss  1.448992, Time  0.443363
2021-09-24 07:25:56.316302 : Epoch  4, Batch    412, Loss  1.450141, Average Loss  1.448951, Time  0.443991
2021-09-24 07:26:02.310881 : Epoch  4, Batch    413, Loss  1.445488, Average Loss  1.448919, Time  0.443441
2021-09-24 07:26:08.318226 : Epoch  4, Batch    414, Loss  1.445034, Average Loss  1.448915, Time  0.445148
2021-09-24 07:26:14.040541 : CheckPoint: Validation Loss  0.00025360, Best Loss  0.00024726
2021-09-24 07:26:14.336066 : Epoch  4, Batch    415, Loss  1.444743, Average Loss  1.448893, Time  0.452454
2021-09-24 07:26:19.961245 : Epoch  4, Batch    417, Loss  1.451477, Average Loss  1.448810, Time  0.442850
2021-09-24 07:26:20.321914 : Epoch  4, Batch    416, Loss  1.443150, Average Loss  1.448828, Time  0.445153
2021-09-24 07:26:25.901898 : Epoch  4, Batch    418, Loss  1.447217, Average Loss  1.448802, Time  0.441334
2021-09-24 07:26:31.851305 : Epoch  4, Batch    419, Loss  1.447250, Average Loss  1.448789, Time  0.450704
2021-09-24 07:26:37.783828 : Epoch  4, Batch    420, Loss  1.442207, Average Loss  1.448763, Time  0.442576
2021-09-24 07:26:43.726748 : Epoch  4, Batch    421, Loss  1.439065, Average Loss  1.448687, Time  0.442107
2021-09-24 07:26:49.661635 : Epoch  4, Batch    422, Loss  1.449551, Average Loss  1.448685, Time  0.441064
2021-09-24 07:26:55.601707 : Epoch  4, Batch    423, Loss  1.445302, Average Loss  1.448666, Time  0.439194
2021-09-24 07:27:01.535208 : Epoch  4, Batch    424, Loss  1.436916, Average Loss  1.448621, Time  0.440938
2021-09-24 07:27:07.464391 : Epoch  4, Batch    425, Loss  1.448594, Average Loss  1.448608, Time  0.438210
2021-09-24 07:27:13.392383 : Epoch  4, Batch    426, Loss  1.448920, Average Loss  1.448618, Time  0.441366
2021-09-24 07:27:19.336432 : Epoch  4, Batch    427, Loss  1.450650, Average Loss  1.448634, Time  0.452117
2021-09-24 07:27:25.257200 : Epoch  4, Batch    428, Loss  1.457565, Average Loss  1.448670, Time  0.443867
2021-09-24 07:27:31.187137 : Epoch  4, Batch    429, Loss  1.450061, Average Loss  1.448719, Time  0.442916
2021-09-24 07:27:37.099161 : Epoch  4, Batch    430, Loss  1.444690, Average Loss  1.448708, Time  0.439317
2021-09-24 07:27:43.032494 : Epoch  4, Batch    431, Loss  1.444638, Average Loss  1.448758, Time  0.439016
2021-09-24 07:27:48.968106 : Epoch  4, Batch    432, Loss  1.440972, Average Loss  1.448634, Time  0.444871
2021-09-24 07:27:54.895941 : Epoch  4, Batch    433, Loss  1.451236, Average Loss  1.448584, Time  0.439935
2021-09-24 07:28:00.831785 : Epoch  4, Batch    434, Loss  1.468943, Average Loss  1.448759, Time  0.447830
2021-09-24 07:28:06.763755 : Epoch  4, Batch    435, Loss  1.455172, Average Loss  1.448769, Time  0.438778
2021-09-24 07:28:12.697728 : Epoch  4, Batch    436, Loss  1.447324, Average Loss  1.448785, Time  0.442571
2021-09-24 07:28:18.639205 : Epoch  4, Batch    437, Loss  1.459863, Average Loss  1.448843, Time  0.441607
2021-09-24 07:28:24.562654 : Epoch  4, Batch    438, Loss  1.461850, Average Loss  1.448950, Time  0.440844
2021-09-24 07:28:30.496776 : Epoch  4, Batch    439, Loss  1.454007, Average Loss  1.448962, Time  0.441254
2021-09-24 07:28:36.437278 : Epoch  4, Batch    440, Loss  1.461754, Average Loss  1.449072, Time  0.439727
2021-09-24 07:28:42.366179 : Epoch  4, Batch    441, Loss  1.444057, Average Loss  1.449084, Time  0.438736
2021-09-24 07:28:48.309850 : Epoch  4, Batch    442, Loss  1.451316, Average Loss  1.449131, Time  0.456141
2021-09-24 07:28:54.236816 : Epoch  4, Batch    443, Loss  1.460698, Average Loss  1.449150, Time  0.439835
2021-09-24 07:29:00.179431 : Epoch  4, Batch    444, Loss  1.445386, Average Loss  1.449161, Time  0.442813
2021-09-24 07:29:06.101660 : Epoch  4, Batch    445, Loss  1.453701, Average Loss  1.449202, Time  0.439165
2021-09-24 07:29:12.023769 : Epoch  4, Batch    446, Loss  1.457093, Average Loss  1.449274, Time  0.440778
2021-09-24 07:29:17.945404 : Epoch  4, Batch    447, Loss  1.459102, Average Loss  1.449310, Time  0.438888
2021-09-24 07:29:23.885673 : Epoch  4, Batch    448, Loss  1.464188, Average Loss  1.449343, Time  0.440612
2021-09-24 07:29:29.824379 : Epoch  4, Batch    449, Loss  1.451227, Average Loss  1.449336, Time  0.440828
2021-09-24 07:29:35.759606 : Epoch  4, Batch    450, Loss  1.451759, Average Loss  1.449358, Time  0.447032
2021-09-24 07:29:41.692162 : Epoch  4, Batch    451, Loss  1.463231, Average Loss  1.449433, Time  0.442145
2021-09-24 07:29:47.619856 : Epoch  4, Batch    452, Loss  1.447755, Average Loss  1.449450, Time  0.440458
2021-09-24 07:29:53.546015 : Epoch  4, Batch    453, Loss  1.441714, Average Loss  1.449477, Time  0.442536
2021-09-24 07:29:59.460708 : Epoch  4, Batch    454, Loss  1.449327, Average Loss  1.449474, Time  0.439212
2021-09-24 07:30:05.379171 : Epoch  4, Batch    455, Loss  1.450300, Average Loss  1.449570, Time  0.440018
2021-09-24 07:30:11.314213 : Epoch  4, Batch    456, Loss  1.456275, Average Loss  1.449655, Time  0.438725
2021-09-24 07:30:17.245616 : Epoch  4, Batch    457, Loss  1.451494, Average Loss  1.449661, Time  0.442591
2021-09-24 07:30:23.192642 : Epoch  4, Batch    458, Loss  1.458261, Average Loss  1.449611, Time  0.452783
2021-09-24 07:30:29.159165 : Epoch  4, Batch    459, Loss  1.456300, Average Loss  1.449686, Time  0.439801
2021-09-24 07:30:35.083786 : Epoch  4, Batch    460, Loss  1.447968, Average Loss  1.449654, Time  0.439582
2021-09-24 07:30:41.015797 : Epoch  4, Batch    461, Loss  1.445987, Average Loss  1.449586, Time  0.438631
2021-09-24 07:30:46.961799 : Epoch  4, Batch    462, Loss  1.453972, Average Loss  1.449620, Time  0.440388
2021-09-24 07:30:52.904712 : Epoch  4, Batch    463, Loss  1.448134, Average Loss  1.449571, Time  0.438931
2021-09-24 07:30:58.849867 : Epoch  4, Batch    464, Loss  1.447244, Average Loss  1.449518, Time  0.443970
2021-09-24 07:31:02.712936 : CheckPoint: Validation Loss  0.00024965, Best Loss  0.00024587
2021-09-24 07:31:04.788863 : Epoch  4, Batch    465, Loss  1.441051, Average Loss  1.449487, Time  0.439820
2021-09-24 07:31:08.712661 : Epoch  4, Batch    417, Loss  1.443573, Average Loss  1.448723, Time  0.445846
2021-09-24 07:31:10.756989 : Epoch  4, Batch    466, Loss  1.446930, Average Loss  1.449473, Time  0.458037
2021-09-24 07:31:14.651916 : Epoch  4, Batch    418, Loss  1.461827, Average Loss  1.448855, Time  0.443398
2021-09-24 07:31:16.688573 : Epoch  4, Batch    467, Loss  1.453448, Average Loss  1.449497, Time  0.440518
2021-09-24 07:31:20.600573 : Epoch  4, Batch    419, Loss  1.464899, Average Loss  1.448936, Time  0.444392
2021-09-24 07:31:22.624502 : Epoch  4, Batch    468, Loss  1.444346, Average Loss  1.449500, Time  0.438302
2021-09-24 07:31:26.548592 : Epoch  4, Batch    420, Loss  1.459197, Average Loss  1.449009, Time  0.448108
2021-09-24 07:31:28.547631 : Epoch  4, Batch    469, Loss  1.443278, Average Loss  1.449391, Time  0.438907
2021-09-24 07:31:32.486783 : Epoch  4, Batch    421, Loss  1.461513, Average Loss  1.449102, Time  0.446611
2021-09-24 07:31:34.471390 : Epoch  4, Batch    470, Loss  1.453119, Average Loss  1.449385, Time  0.439841
2021-09-24 07:31:38.440203 : Epoch  4, Batch    422, Loss  1.452224, Average Loss  1.449114, Time  0.443941
2021-09-24 07:31:40.399825 : Epoch  4, Batch    471, Loss  1.455825, Average Loss  1.449389, Time  0.442215
2021-09-24 07:31:44.398937 : Epoch  4, Batch    423, Loss  1.439399, Average Loss  1.449031, Time  0.443421
2021-09-24 07:31:46.327980 : Epoch  4, Batch    472, Loss  1.448008, Average Loss  1.449378, Time  0.439739
2021-09-24 07:31:50.363771 : Epoch  4, Batch    424, Loss  1.456108, Average Loss  1.448996, Time  0.467538
2021-09-24 07:31:52.264580 : Epoch  4, Batch    473, Loss  1.452279, Average Loss  1.449406, Time  0.440588
2021-09-24 07:31:56.314064 : Epoch  4, Batch    425, Loss  1.436826, Average Loss  1.448923, Time  0.444228
2021-09-24 07:31:58.198692 : Epoch  4, Batch    474, Loss  1.452900, Average Loss  1.449369, Time  0.455152
2021-09-24 07:32:02.279385 : Epoch  4, Batch    426, Loss  1.451026, Average Loss  1.448985, Time  0.444534
2021-09-24 07:32:04.134295 : Epoch  4, Batch    475, Loss  1.443743, Average Loss  1.449286, Time  0.439251
2021-09-24 07:32:08.233768 : Epoch  4, Batch    427, Loss  1.449057, Average Loss  1.448923, Time  0.443007
2021-09-24 07:32:10.068417 : Epoch  4, Batch    476, Loss  1.445808, Average Loss  1.449283, Time  0.441109
2021-09-24 07:32:14.195700 : Epoch  4, Batch    428, Loss  1.448084, Average Loss  1.448942, Time  0.447440
2021-09-24 07:32:16.001577 : Epoch  4, Batch    477, Loss  1.451710, Average Loss  1.449297, Time  0.439973
2021-09-24 07:32:20.134022 : Epoch  4, Batch    429, Loss  1.456432, Average Loss  1.448947, Time  0.446014
2021-09-24 07:32:21.928797 : Epoch  4, Batch    478, Loss  1.460265, Average Loss  1.449378, Time  0.438775
2021-09-24 07:32:26.089903 : Epoch  4, Batch    430, Loss  1.444712, Average Loss  1.448960, Time  0.445960
2021-09-24 07:32:27.865300 : Epoch  4, Batch    479, Loss  1.438009, Average Loss  1.449278, Time  0.442881
2021-09-24 07:32:32.046856 : Epoch  4, Batch    431, Loss  1.457840, Average Loss  1.449088, Time  0.443430
2021-09-24 07:32:33.817842 : Epoch  4, Batch    480, Loss  1.451210, Average Loss  1.449287, Time  0.440641
2021-09-24 07:32:38.005726 : Epoch  4, Batch    432, Loss  1.443545, Average Loss  1.449112, Time  0.455769
2021-09-24 07:32:39.744326 : Epoch  4, Batch    481, Loss  1.444269, Average Loss  1.449234, Time  0.438376
2021-09-24 07:32:43.961884 : Epoch  4, Batch    433, Loss  1.457719, Average Loss  1.449183, Time  0.448914
2021-09-24 07:32:45.692222 : Epoch  4, Batch    482, Loss  1.442807, Average Loss  1.449216, Time  0.452087
2021-09-24 07:32:49.910564 : Epoch  4, Batch    434, Loss  1.436655, Average Loss  1.449122, Time  0.445282
2021-09-24 07:32:51.632509 : Epoch  4, Batch    483, Loss  1.444970, Average Loss  1.449205, Time  0.440602
2021-09-24 07:32:55.880716 : Epoch  4, Batch    435, Loss  1.446720, Average Loss  1.449107, Time  0.458133
2021-09-24 07:32:57.565335 : Epoch  4, Batch    484, Loss  1.447317, Average Loss  1.449211, Time  0.441427
2021-09-24 07:33:01.822100 : Epoch  4, Batch    436, Loss  1.455563, Average Loss  1.449150, Time  0.443561
2021-09-24 07:33:03.496995 : Epoch  4, Batch    485, Loss  1.456125, Average Loss  1.449269, Time  0.441103
2021-09-24 07:33:07.778559 : Epoch  4, Batch    437, Loss  1.454348, Average Loss  1.449166, Time  0.443482
2021-09-24 07:33:09.432359 : Epoch  4, Batch    486, Loss  1.451782, Average Loss  1.449354, Time  0.442711
2021-09-24 07:33:13.727426 : Epoch  4, Batch    438, Loss  1.457389, Average Loss  1.449240, Time  0.443389
2021-09-24 07:33:15.357142 : Epoch  4, Batch    487, Loss  1.449244, Average Loss  1.449393, Time  0.439171
2021-09-24 07:33:19.669103 : Epoch  4, Batch    439, Loss  1.447945, Average Loss  1.449220, Time  0.452653
2021-09-24 07:33:21.271793 : Epoch  4, Batch    488, Loss  1.438723, Average Loss  1.449366, Time  0.440171
2021-09-24 07:33:25.637754 : Epoch  4, Batch    440, Loss  1.460915, Average Loss  1.449312, Time  0.443518
2021-09-24 07:33:27.216756 : Epoch  4, Batch    489, Loss  1.453116, Average Loss  1.449400, Time  0.440180
2021-09-24 07:33:31.595163 : Epoch  4, Batch    441, Loss  1.432949, Average Loss  1.449282, Time  0.446898
2021-09-24 07:33:33.166840 : Epoch  4, Batch    490, Loss  1.452050, Average Loss  1.449350, Time  0.453146
2021-09-24 07:33:37.551000 : Epoch  4, Batch    442, Loss  1.460344, Average Loss  1.449353, Time  0.446997
2021-09-24 07:33:39.093777 : Epoch  4, Batch    491, Loss  1.462531, Average Loss  1.449408, Time  0.439092
2021-09-24 07:33:43.509879 : Epoch  4, Batch    443, Loss  1.463786, Average Loss  1.449378, Time  0.444397
2021-09-24 07:33:45.024404 : Epoch  4, Batch    492, Loss  1.449157, Average Loss  1.449377, Time  0.438931
2021-09-24 07:33:49.443891 : Epoch  4, Batch    444, Loss  1.445688, Average Loss  1.449300, Time  0.446464
2021-09-24 07:33:50.949474 : Epoch  4, Batch    493, Loss  1.454460, Average Loss  1.449430, Time  0.440706
2021-09-24 07:33:55.397543 : Epoch  4, Batch    445, Loss  1.446773, Average Loss  1.449287, Time  0.444708
2021-09-24 07:33:56.855713 : Epoch  4, Batch    494, Loss  1.437011, Average Loss  1.449388, Time  0.439550
2021-09-24 07:34:01.325734 : Epoch  4, Batch    446, Loss  1.445480, Average Loss  1.449236, Time  0.444443
2021-09-24 07:34:02.769460 : Epoch  4, Batch    495, Loss  1.451598, Average Loss  1.449305, Time  0.438861
2021-09-24 07:34:07.278807 : Epoch  4, Batch    447, Loss  1.451877, Average Loss  1.449293, Time  0.453990
2021-09-24 07:34:08.695477 : Epoch  4, Batch    496, Loss  1.466854, Average Loss  1.449420, Time  0.439244
2021-09-24 07:34:13.227713 : Epoch  4, Batch    448, Loss  1.456968, Average Loss  1.449377, Time  0.443579
2021-09-24 07:34:14.638148 : Epoch  4, Batch    497, Loss  1.444093, Average Loss  1.449439, Time  0.439406
2021-09-24 07:34:19.185086 : Epoch  4, Batch    449, Loss  1.441975, Average Loss  1.449289, Time  0.448196
2021-09-24 07:34:20.573817 : Epoch  4, Batch    498, Loss  1.452975, Average Loss  1.449430, Time  0.453586
2021-09-24 07:34:25.135175 : Epoch  4, Batch    450, Loss  1.442504, Average Loss  1.449236, Time  0.444623
2021-09-24 07:34:26.512353 : Epoch  4, Batch    499, Loss  1.454425, Average Loss  1.449471, Time  0.445187
2021-09-24 07:34:31.097845 : Epoch  4, Batch    451, Loss  1.441008, Average Loss  1.449192, Time  0.444533
2021-09-24 07:34:32.444787 : Epoch  4, Batch    500, Loss  1.450034, Average Loss  1.449549, Time  0.441147
2021-09-24 07:34:37.046399 : Epoch  4, Batch    452, Loss  1.440757, Average Loss  1.449152, Time  0.445662
2021-09-24 07:34:38.367784 : Epoch  4, Batch    501, Loss  1.446310, Average Loss  1.449496, Time  0.440103
2021-09-24 07:34:43.003795 : Epoch  4, Batch    453, Loss  1.442925, Average Loss  1.449136, Time  0.443064
2021-09-24 07:34:44.308307 : Epoch  4, Batch    502, Loss  1.452682, Average Loss  1.449471, Time  0.442106
2021-09-24 07:34:48.953593 : Epoch  4, Batch    454, Loss  1.440946, Average Loss  1.449058, Time  0.446304
2021-09-24 07:34:50.244692 : Epoch  4, Batch    503, Loss  1.426823, Average Loss  1.449344, Time  0.438852
2021-09-24 07:34:54.917238 : Epoch  4, Batch    455, Loss  1.434148, Average Loss  1.449015, Time  0.455243
2021-09-24 07:34:56.176826 : Epoch  4, Batch    504, Loss  1.454928, Average Loss  1.449405, Time  0.441843
2021-09-24 07:35:00.872138 : Epoch  4, Batch    456, Loss  1.434552, Average Loss  1.448962, Time  0.444932
2021-09-24 07:35:02.124851 : Epoch  4, Batch    505, Loss  1.452827, Average Loss  1.449418, Time  0.441149
2021-09-24 07:35:06.824230 : Epoch  4, Batch    457, Loss  1.439639, Average Loss  1.448925, Time  0.447295
2021-09-24 07:35:08.059887 : Epoch  4, Batch    506, Loss  1.437165, Average Loss  1.449410, Time  0.452031
2021-09-24 07:35:12.764699 : Epoch  4, Batch    458, Loss  1.455529, Average Loss  1.448867, Time  0.443448
2021-09-24 07:35:14.000785 : Epoch  4, Batch    507, Loss  1.439452, Average Loss  1.449364, Time  0.439378
2021-09-24 07:35:18.709818 : Epoch  4, Batch    459, Loss  1.455484, Average Loss  1.448901, Time  0.444825
2021-09-24 07:35:19.933851 : Epoch  4, Batch    508, Loss  1.449387, Average Loss  1.449367, Time  0.440548
2021-09-24 07:35:24.671178 : Epoch  4, Batch    460, Loss  1.441092, Average Loss  1.448871, Time  0.449000
2021-09-24 07:35:25.856280 : Epoch  4, Batch    509, Loss  1.453678, Average Loss  1.449351, Time  0.442350
2021-09-24 07:35:30.620409 : Epoch  4, Batch    461, Loss  1.444736, Average Loss  1.448808, Time  0.444693
2021-09-24 07:35:31.767373 : Epoch  4, Batch    510, Loss  1.448467, Average Loss  1.449407, Time  0.439348
2021-09-24 07:35:36.608183 : Epoch  4, Batch    462, Loss  1.448376, Average Loss  1.448818, Time  0.464787
2021-09-24 07:35:37.683431 : Epoch  4, Batch    511, Loss  1.452464, Average Loss  1.449473, Time  0.440693
2021-09-24 07:35:42.566021 : Epoch  4, Batch    463, Loss  1.445641, Average Loss  1.448782, Time  0.446606
2021-09-24 07:35:43.614310 : Epoch  4, Batch    512, Loss  1.447919, Average Loss  1.449452, Time  0.439596
2021-09-24 07:35:48.511580 : Epoch  4, Batch    464, Loss  1.438591, Average Loss  1.448709, Time  0.443860
2021-09-24 07:35:49.537705 : Epoch  4, Batch    513, Loss  1.440659, Average Loss  1.449376, Time  0.441249
2021-09-24 07:35:54.470194 : Epoch  4, Batch    465, Loss  1.454095, Average Loss  1.448781, Time  0.444094
2021-09-24 07:35:55.456355 : Epoch  4, Batch    514, Loss  1.443282, Average Loss  1.449337, Time  0.445583
2021-09-24 07:36:00.431522 : Epoch  4, Batch    466, Loss  1.451439, Average Loss  1.448761, Time  0.444514
2021-09-24 07:36:01.373785 : Epoch  4, Batch    515, Loss  1.434954, Average Loss  1.449308, Time  0.438614
2021-09-24 07:36:06.364850 : Epoch  4, Batch    467, Loss  1.447231, Average Loss  1.448786, Time  0.444028
2021-09-24 07:36:07.304544 : Epoch  4, Batch    516, Loss  1.450502, Average Loss  1.449321, Time  0.439127
2021-09-24 07:36:12.334000 : Epoch  4, Batch    468, Loss  1.444223, Average Loss  1.448750, Time  0.446687
2021-09-24 07:36:18.297138 : Epoch  4, Batch    469, Loss  1.454315, Average Loss  1.448758, Time  0.452002
2021-09-24 07:36:24.253877 : Epoch  4, Batch    470, Loss  1.453297, Average Loss  1.448841, Time  0.459758
2021-09-24 07:36:30.213217 : Epoch  4, Batch    471, Loss  1.449397, Average Loss  1.448822, Time  0.445219
2021-09-24 07:36:36.149984 : Epoch  4, Batch    472, Loss  1.436299, Average Loss  1.448724, Time  0.443946
2021-09-24 07:36:42.105629 : Epoch  4, Batch    473, Loss  1.448032, Average Loss  1.448780, Time  0.445119
2021-09-24 07:36:48.064729 : Epoch  4, Batch    474, Loss  1.453371, Average Loss  1.448862, Time  0.444965
2021-09-24 07:36:54.004954 : Epoch  4, Batch    475, Loss  1.437282, Average Loss  1.448877, Time  0.447271
2021-09-24 07:36:59.935189 : Epoch  4, Batch    476, Loss  1.440914, Average Loss  1.448877, Time  0.446890
2021-09-24 07:37:05.893329 : Epoch  4, Batch    477, Loss  1.449897, Average Loss  1.448884, Time  0.448620
2021-09-24 07:37:11.862037 : Epoch  4, Batch    478, Loss  1.435990, Average Loss  1.448830, Time  0.460385
2021-09-24 07:37:17.815492 : Epoch  4, Batch    479, Loss  1.456742, Average Loss  1.448843, Time  0.446510
2021-09-24 07:37:23.767340 : Epoch  4, Batch    480, Loss  1.442667, Average Loss  1.448841, Time  0.446083
2021-09-24 07:37:29.712988 : Epoch  4, Batch    481, Loss  1.451470, Average Loss  1.448889, Time  0.447055
2021-09-24 07:37:35.662574 : Epoch  4, Batch    482, Loss  1.441712, Average Loss  1.448919, Time  0.448447
2021-09-24 07:37:41.595352 : Epoch  4, Batch    483, Loss  1.452917, Average Loss  1.448899, Time  0.443656
2021-09-24 07:37:47.523421 : Epoch  4, Batch    484, Loss  1.447877, Average Loss  1.448905, Time  0.455122
2021-09-24 07:37:53.472564 : Epoch  4, Batch    485, Loss  1.446809, Average Loss  1.448944, Time  0.460948
2021-09-24 07:37:59.431916 : Epoch  4, Batch    486, Loss  1.448457, Average Loss  1.449004, Time  0.444381
2021-09-24 07:38:05.394344 : Epoch  4, Batch    487, Loss  1.445114, Average Loss  1.448959, Time  0.447392
2021-09-24 07:38:11.342784 : Epoch  4, Batch    488, Loss  1.439952, Average Loss  1.448875, Time  0.445206
2021-09-24 07:38:17.310953 : Epoch  4, Batch    489, Loss  1.444997, Average Loss  1.448881, Time  0.447146
2021-09-24 07:38:23.268579 : Epoch  4, Batch    490, Loss  1.448716, Average Loss  1.448873, Time  0.448327
2021-09-24 07:38:29.234084 : Epoch  4, Batch    491, Loss  1.449266, Average Loss  1.448858, Time  0.445809
2021-09-24 07:38:35.195793 : Epoch  4, Batch    492, Loss  1.444495, Average Loss  1.448888, Time  0.443782
2021-09-24 07:38:41.177280 : Epoch  4, Batch    493, Loss  1.451692, Average Loss  1.448908, Time  0.456545
2021-09-24 07:38:47.134819 : Epoch  4, Batch    494, Loss  1.459139, Average Loss  1.448993, Time  0.445989
2021-09-24 07:38:53.091894 : Epoch  4, Batch    495, Loss  1.461135, Average Loss  1.449037, Time  0.444024
2021-09-24 07:38:59.036889 : Epoch  4, Batch    496, Loss  1.444239, Average Loss  1.449041, Time  0.447021
2021-09-24 07:39:04.975305 : Epoch  4, Batch    497, Loss  1.446366, Average Loss  1.449046, Time  0.445249
2021-09-24 07:39:10.934375 : Epoch  4, Batch    498, Loss  1.448032, Average Loss  1.448990, Time  0.444489
2021-09-24 07:39:16.888798 : Epoch  4, Batch    499, Loss  1.455953, Average Loss  1.448985, Time  0.445278
2021-09-24 07:39:22.838915 : Epoch  4, Batch    500, Loss  1.465382, Average Loss  1.449000, Time  0.443402
2021-09-24 07:39:28.797262 : Epoch  4, Batch    501, Loss  1.448694, Average Loss  1.448989, Time  0.456335
2021-09-24 07:39:34.744161 : Epoch  4, Batch    502, Loss  1.450393, Average Loss  1.448971, Time  0.444115
2021-09-24 07:39:40.707484 : Epoch  4, Batch    503, Loss  1.447711, Average Loss  1.448916, Time  0.443811
2021-09-24 07:39:46.655836 : Epoch  4, Batch    504, Loss  1.442169, Average Loss  1.448874, Time  0.443190
2021-09-24 07:39:52.623564 : Epoch  4, Batch    505, Loss  1.451883, Average Loss  1.448815, Time  0.450591
2021-09-24 07:39:58.579285 : Epoch  4, Batch    506, Loss  1.455388, Average Loss  1.448761, Time  0.444338
2021-09-24 07:40:04.539849 : Epoch  4, Batch    507, Loss  1.455368, Average Loss  1.448860, Time  0.443760
2021-09-24 07:40:10.510333 : Epoch  4, Batch    508, Loss  1.448114, Average Loss  1.448825, Time  0.459721
2021-09-24 07:40:16.495187 : Epoch  4, Batch    509, Loss  1.434925, Average Loss  1.448691, Time  0.444817
2021-09-24 07:40:22.441431 : Epoch  4, Batch    510, Loss  1.452592, Average Loss  1.448714, Time  0.444482
2021-09-24 07:40:28.381682 : Epoch  4, Batch    511, Loss  1.430687, Average Loss  1.448617, Time  0.445648
2021-09-24 07:40:34.332653 : Epoch  4, Batch    512, Loss  1.437276, Average Loss  1.448561, Time  0.443954
2021-09-24 07:40:40.285796 : Epoch  4, Batch    513, Loss  1.446831, Average Loss  1.448532, Time  0.443196
2021-09-24 07:40:46.000882 : CheckPoint: Validation Loss  0.00025762, Best Loss  0.00024726
2021-09-24 07:40:46.243316 : Epoch  4, Batch    514, Loss  1.454914, Average Loss  1.448554, Time  0.443714
2021-09-24 07:40:51.942820 : Epoch  4, Batch    517, Loss  1.448968, Average Loss  1.449329, Time  0.438763
2021-09-24 07:40:52.173033 : Epoch  4, Batch    515, Loss  1.443470, Average Loss  1.448571, Time  0.447773
2021-09-24 07:40:57.886588 : Epoch  4, Batch    518, Loss  1.449496, Average Loss  1.449328, Time  0.440546
2021-09-24 07:40:58.119928 : Epoch  4, Batch    516, Loss  1.448172, Average Loss  1.448588, Time  0.463092
2021-09-24 07:41:03.862762 : Epoch  4, Batch    519, Loss  1.458377, Average Loss  1.449364, Time  0.439670
2021-09-24 07:41:09.819918 : Epoch  4, Batch    520, Loss  1.457255, Average Loss  1.449308, Time  0.440432
2021-09-24 07:41:15.787280 : Epoch  4, Batch    521, Loss  1.454600, Average Loss  1.449368, Time  0.454512
2021-09-24 07:41:21.731557 : Epoch  4, Batch    522, Loss  1.441570, Average Loss  1.449327, Time  0.439344
2021-09-24 07:41:27.686767 : Epoch  4, Batch    523, Loss  1.454030, Average Loss  1.449266, Time  0.443817
2021-09-24 07:41:33.634181 : Epoch  4, Batch    524, Loss  1.455485, Average Loss  1.449281, Time  0.440867
2021-09-24 07:41:39.586841 : Epoch  4, Batch    525, Loss  1.448397, Average Loss  1.449209, Time  0.440667
2021-09-24 07:41:45.548818 : Epoch  4, Batch    526, Loss  1.455270, Average Loss  1.449208, Time  0.440699
2021-09-24 07:41:51.498201 : Epoch  4, Batch    527, Loss  1.443930, Average Loss  1.449159, Time  0.442153
2021-09-24 07:41:57.478218 : Epoch  4, Batch    528, Loss  1.446388, Average Loss  1.449198, Time  0.441585
2021-09-24 07:42:03.445466 : Epoch  4, Batch    529, Loss  1.461758, Average Loss  1.449250, Time  0.451798
2021-09-24 07:42:09.398547 : Epoch  4, Batch    530, Loss  1.440860, Average Loss  1.449183, Time  0.439576
2021-09-24 07:42:15.342783 : Epoch  4, Batch    531, Loss  1.442637, Average Loss  1.449145, Time  0.438564
2021-09-24 07:42:21.296841 : Epoch  4, Batch    532, Loss  1.441495, Average Loss  1.449075, Time  0.438430
2021-09-24 07:42:27.246728 : Epoch  4, Batch    533, Loss  1.447990, Average Loss  1.449024, Time  0.438619
2021-09-24 07:42:33.200554 : Epoch  4, Batch    534, Loss  1.442923, Average Loss  1.449075, Time  0.441070
2021-09-24 07:42:39.152045 : Epoch  4, Batch    535, Loss  1.454309, Average Loss  1.449101, Time  0.439601
2021-09-24 07:42:45.134277 : Epoch  4, Batch    536, Loss  1.438605, Average Loss  1.449004, Time  0.457010
2021-09-24 07:42:51.084321 : Epoch  4, Batch    537, Loss  1.447449, Average Loss  1.449044, Time  0.442934
2021-09-24 07:42:57.023313 : Epoch  4, Batch    538, Loss  1.439324, Average Loss  1.449059, Time  0.440165
2021-09-24 07:43:02.974727 : Epoch  4, Batch    539, Loss  1.442988, Average Loss  1.449033, Time  0.440542
2021-09-24 07:43:08.915195 : Epoch  4, Batch    540, Loss  1.447048, Average Loss  1.449032, Time  0.439170
2021-09-24 07:43:14.858769 : Epoch  4, Batch    541, Loss  1.436956, Average Loss  1.449069, Time  0.442601
2021-09-24 07:43:20.809425 : Epoch  4, Batch    542, Loss  1.453773, Average Loss  1.449044, Time  0.441314
2021-09-24 07:43:26.761339 : Epoch  4, Batch    543, Loss  1.452860, Average Loss  1.448996, Time  0.440558
2021-09-24 07:43:32.719528 : Epoch  4, Batch    544, Loss  1.443696, Average Loss  1.448990, Time  0.450824
2021-09-24 07:43:38.668143 : Epoch  4, Batch    545, Loss  1.438591, Average Loss  1.448983, Time  0.438471
2021-09-24 07:43:44.603717 : Epoch  4, Batch    546, Loss  1.455213, Average Loss  1.449008, Time  0.442334
2021-09-24 07:43:50.553656 : Epoch  4, Batch    547, Loss  1.441449, Average Loss  1.448940, Time  0.440021
2021-09-24 07:43:56.500812 : Epoch  4, Batch    548, Loss  1.449248, Average Loss  1.448879, Time  0.439547
2021-09-24 07:44:02.448597 : Epoch  4, Batch    549, Loss  1.458766, Average Loss  1.448832, Time  0.441704
2021-09-24 07:44:08.405896 : Epoch  4, Batch    550, Loss  1.454944, Average Loss  1.448865, Time  0.441731
2021-09-24 07:44:14.360805 : Epoch  4, Batch    551, Loss  1.440563, Average Loss  1.448848, Time  0.438623
2021-09-24 07:44:20.339806 : Epoch  4, Batch    552, Loss  1.452850, Average Loss  1.448863, Time  0.455451
2021-09-24 07:44:26.287841 : Epoch  4, Batch    553, Loss  1.454468, Average Loss  1.448899, Time  0.440046
2021-09-24 07:44:32.238701 : Epoch  4, Batch    554, Loss  1.451339, Average Loss  1.448944, Time  0.440394
2021-09-24 07:44:38.179736 : Epoch  4, Batch    555, Loss  1.447591, Average Loss  1.448960, Time  0.439383
2021-09-24 07:44:44.123605 : Epoch  4, Batch    556, Loss  1.447500, Average Loss  1.448987, Time  0.440578
2021-09-24 07:44:50.063263 : Epoch  4, Batch    557, Loss  1.437442, Average Loss  1.448907, Time  0.439614
2021-09-24 07:44:56.027941 : Epoch  4, Batch    558, Loss  1.451678, Average Loss  1.448902, Time  0.447423
2021-09-24 07:45:01.993783 : Epoch  4, Batch    559, Loss  1.442800, Average Loss  1.448921, Time  0.456004
2021-09-24 07:45:07.951676 : Epoch  4, Batch    560, Loss  1.438700, Average Loss  1.448901, Time  0.440178
2021-09-24 07:45:13.894900 : Epoch  4, Batch    561, Loss  1.433012, Average Loss  1.448824, Time  0.439536
2021-09-24 07:45:19.850560 : Epoch  4, Batch    562, Loss  1.443262, Average Loss  1.448780, Time  0.440790
2021-09-24 07:45:25.798755 : Epoch  4, Batch    563, Loss  1.454140, Average Loss  1.448741, Time  0.439348
2021-09-24 07:45:31.749204 : Epoch  4, Batch    564, Loss  1.456153, Average Loss  1.448768, Time  0.443230
2021-09-24 07:45:37.688382 : Epoch  4, Batch    565, Loss  1.440962, Average Loss  1.448765, Time  0.440313
2021-09-24 07:45:39.580806 : CheckPoint: Validation Loss  0.00025041, Best Loss  0.00024587
2021-09-24 07:45:43.651103 : Epoch  4, Batch    566, Loss  1.444378, Average Loss  1.448759, Time  0.440222
2021-09-24 07:45:45.565481 : Epoch  4, Batch    517, Loss  1.442322, Average Loss  1.448596, Time  0.443386
2021-09-24 07:45:49.596315 : Epoch  4, Batch    567, Loss  1.448413, Average Loss  1.448748, Time  0.445000
2021-09-24 07:45:51.524668 : Epoch  4, Batch    518, Loss  1.453071, Average Loss  1.448594, Time  0.446097
2021-09-24 07:45:55.555800 : Epoch  4, Batch    568, Loss  1.436037, Average Loss  1.448656, Time  0.438844
2021-09-24 07:45:57.480970 : Epoch  4, Batch    519, Loss  1.456941, Average Loss  1.448613, Time  0.444684
2021-09-24 07:46:01.489773 : Epoch  4, Batch    569, Loss  1.457083, Average Loss  1.448725, Time  0.439664
2021-09-24 07:46:03.411247 : Epoch  4, Batch    520, Loss  1.448326, Average Loss  1.448657, Time  0.444450
2021-09-24 07:46:07.422342 : Epoch  4, Batch    570, Loss  1.438850, Average Loss  1.448773, Time  0.439334
2021-09-24 07:46:09.348121 : Epoch  4, Batch    521, Loss  1.444824, Average Loss  1.448612, Time  0.443909
2021-09-24 07:46:13.367529 : Epoch  4, Batch    571, Loss  1.449777, Average Loss  1.448759, Time  0.441348
2021-09-24 07:46:15.303034 : Epoch  4, Batch    522, Loss  1.441609, Average Loss  1.448588, Time  0.457849
2021-09-24 07:46:19.312464 : Epoch  4, Batch    572, Loss  1.447615, Average Loss  1.448774, Time  0.440143
2021-09-24 07:46:21.246642 : Epoch  4, Batch    523, Loss  1.456096, Average Loss  1.448676, Time  0.444699
2021-09-24 07:46:25.252860 : Epoch  4, Batch    573, Loss  1.444052, Average Loss  1.448709, Time  0.438663
2021-09-24 07:46:27.188492 : Epoch  4, Batch    524, Loss  1.459828, Average Loss  1.448708, Time  0.443369
2021-09-24 07:46:31.199231 : Epoch  4, Batch    574, Loss  1.444171, Average Loss  1.448622, Time  0.438713
2021-09-24 07:46:33.135052 : Epoch  4, Batch    525, Loss  1.440678, Average Loss  1.448640, Time  0.443896
2021-09-24 07:46:37.158721 : Epoch  4, Batch    575, Loss  1.442197, Average Loss  1.448653, Time  0.453837
2021-09-24 07:46:39.103825 : Epoch  4, Batch    526, Loss  1.467378, Average Loss  1.448737, Time  0.446701
2021-09-24 07:46:43.102169 : Epoch  4, Batch    576, Loss  1.448169, Average Loss  1.448680, Time  0.439033
2021-09-24 07:46:45.035843 : Epoch  4, Batch    527, Loss  1.450897, Average Loss  1.448813, Time  0.442975
2021-09-24 07:46:49.031610 : Epoch  4, Batch    577, Loss  1.440379, Average Loss  1.448633, Time  0.439532
2021-09-24 07:46:50.981734 : Epoch  4, Batch    528, Loss  1.443212, Average Loss  1.448776, Time  0.447288
2021-09-24 07:46:54.962423 : Epoch  4, Batch    578, Loss  1.451238, Average Loss  1.448641, Time  0.438512
2021-09-24 07:46:56.909824 : Epoch  4, Batch    529, Loss  1.456095, Average Loss  1.448802, Time  0.443245
2021-09-24 07:47:00.896311 : Epoch  4, Batch    579, Loss  1.458156, Average Loss  1.448661, Time  0.438934
2021-09-24 07:47:02.872481 : Epoch  4, Batch    530, Loss  1.462473, Average Loss  1.448860, Time  0.459612
2021-09-24 07:47:06.826501 : Epoch  4, Batch    580, Loss  1.444850, Average Loss  1.448712, Time  0.439106
2021-09-24 07:47:08.836299 : Epoch  4, Batch    531, Loss  1.451913, Average Loss  1.448882, Time  0.447257
2021-09-24 07:47:12.776762 : Epoch  4, Batch    581, Loss  1.441974, Average Loss  1.448686, Time  0.440062
2021-09-24 07:47:14.788845 : Epoch  4, Batch    532, Loss  1.447113, Average Loss  1.448906, Time  0.445304
2021-09-24 07:47:18.721829 : Epoch  4, Batch    582, Loss  1.455160, Average Loss  1.448706, Time  0.438317
2021-09-24 07:47:20.732852 : Epoch  4, Batch    533, Loss  1.445561, Average Loss  1.448873, Time  0.444407
2021-09-24 07:47:24.671679 : Epoch  4, Batch    583, Loss  1.453494, Average Loss  1.448718, Time  0.449603
2021-09-24 07:47:26.672948 : Epoch  4, Batch    534, Loss  1.447848, Average Loss  1.448819, Time  0.443369
2021-09-24 07:47:30.621999 : Epoch  4, Batch    584, Loss  1.449158, Average Loss  1.448711, Time  0.442218
2021-09-24 07:47:32.639836 : Epoch  4, Batch    535, Loss  1.440359, Average Loss  1.448790, Time  0.443899
2021-09-24 07:47:36.576745 : Epoch  4, Batch    585, Loss  1.455981, Average Loss  1.448726, Time  0.442593
2021-09-24 07:47:38.591813 : Epoch  4, Batch    536, Loss  1.447782, Average Loss  1.448753, Time  0.446809
2021-09-24 07:47:42.517793 : Epoch  4, Batch    586, Loss  1.455506, Average Loss  1.448797, Time  0.438393
2021-09-24 07:47:44.549849 : Epoch  4, Batch    537, Loss  1.449508, Average Loss  1.448810, Time  0.457238
2021-09-24 07:47:48.471641 : Epoch  4, Batch    587, Loss  1.448074, Average Loss  1.448771, Time  0.443048
2021-09-24 07:47:50.513349 : Epoch  4, Batch    538, Loss  1.444984, Average Loss  1.448805, Time  0.443109
2021-09-24 07:47:54.418948 : Epoch  4, Batch    588, Loss  1.450149, Average Loss  1.448814, Time  0.439574
2021-09-24 07:47:56.490444 : Epoch  4, Batch    539, Loss  1.467167, Average Loss  1.448815, Time  0.447625
2021-09-24 07:48:00.367746 : Epoch  4, Batch    589, Loss  1.441229, Average Loss  1.448800, Time  0.440170
2021-09-24 07:48:02.454820 : Epoch  4, Batch    540, Loss  1.445657, Average Loss  1.448788, Time  0.447137
2021-09-24 07:48:06.324652 : Epoch  4, Batch    590, Loss  1.447561, Average Loss  1.448807, Time  0.454944
2021-09-24 07:48:08.393068 : Epoch  4, Batch    541, Loss  1.448616, Average Loss  1.448800, Time  0.450345
2021-09-24 07:48:12.282006 : Epoch  4, Batch    591, Loss  1.443560, Average Loss  1.448829, Time  0.439313
2021-09-24 07:48:14.350509 : Epoch  4, Batch    542, Loss  1.437820, Average Loss  1.448704, Time  0.451916
2021-09-24 07:48:18.221752 : Epoch  4, Batch    592, Loss  1.441355, Average Loss  1.448754, Time  0.438757
2021-09-24 07:48:20.299559 : Epoch  4, Batch    543, Loss  1.447612, Average Loss  1.448681, Time  0.445127
2021-09-24 07:48:24.173983 : Epoch  4, Batch    593, Loss  1.446557, Average Loss  1.448838, Time  0.445879
2021-09-24 07:48:26.270956 : Epoch  4, Batch    544, Loss  1.448527, Average Loss  1.448600, Time  0.448173
2021-09-24 07:48:30.115270 : Epoch  4, Batch    594, Loss  1.441698, Average Loss  1.448760, Time  0.439591
2021-09-24 07:48:32.234640 : Epoch  4, Batch    545, Loss  1.447711, Average Loss  1.448610, Time  0.457391
2021-09-24 07:48:36.069196 : Epoch  4, Batch    595, Loss  1.447905, Average Loss  1.448698, Time  0.439067
2021-09-24 07:48:38.187147 : Epoch  4, Batch    546, Loss  1.454495, Average Loss  1.448634, Time  0.444065
2021-09-24 07:48:41.994552 : Epoch  4, Batch    596, Loss  1.454862, Average Loss  1.448776, Time  0.439784
2021-09-24 07:48:44.107892 : Epoch  4, Batch    547, Loss  1.460614, Average Loss  1.448702, Time  0.443481
2021-09-24 07:48:47.939256 : Epoch  4, Batch    597, Loss  1.436015, Average Loss  1.448741, Time  0.438582
2021-09-24 07:48:50.063831 : Epoch  4, Batch    548, Loss  1.449915, Average Loss  1.448616, Time  0.444717
2021-09-24 07:48:53.906549 : Epoch  4, Batch    598, Loss  1.451835, Average Loss  1.448706, Time  0.447848
2021-09-24 07:48:56.017736 : Epoch  4, Batch    549, Loss  1.445742, Average Loss  1.448589, Time  0.445176
2021-09-24 07:48:59.850803 : Epoch  4, Batch    599, Loss  1.451653, Average Loss  1.448760, Time  0.438853
2021-09-24 07:49:01.961494 : Epoch  4, Batch    550, Loss  1.458151, Average Loss  1.448644, Time  0.443506
2021-09-24 07:49:05.790108 : Epoch  4, Batch    600, Loss  1.441020, Average Loss  1.448716, Time  0.438371
2021-09-24 07:49:07.918929 : Epoch  4, Batch    551, Loss  1.447672, Average Loss  1.448649, Time  0.455721
2021-09-24 07:49:11.751526 : Epoch  4, Batch    601, Loss  1.453391, Average Loss  1.448748, Time  0.439006
2021-09-24 07:49:13.870828 : Epoch  4, Batch    552, Loss  1.450252, Average Loss  1.448666, Time  0.449811
2021-09-24 07:49:17.704655 : Epoch  4, Batch    602, Loss  1.443750, Average Loss  1.448699, Time  0.439980
2021-09-24 07:49:19.849720 : Epoch  4, Batch    553, Loss  1.452560, Average Loss  1.448689, Time  0.458698
2021-09-24 07:49:23.645622 : Epoch  4, Batch    603, Loss  1.440193, Average Loss  1.448714, Time  0.439086
2021-09-24 07:49:25.807121 : Epoch  4, Batch    554, Loss  1.437111, Average Loss  1.448592, Time  0.443585
2021-09-24 07:49:29.595917 : Epoch  4, Batch    604, Loss  1.454135, Average Loss  1.448700, Time  0.440269
2021-09-24 07:49:31.765623 : Epoch  4, Batch    555, Loss  1.447354, Average Loss  1.448592, Time  0.455002
2021-09-24 07:49:35.558924 : Epoch  4, Batch    605, Loss  1.446277, Average Loss  1.448709, Time  0.438780
2021-09-24 07:49:37.708824 : Epoch  4, Batch    556, Loss  1.461705, Average Loss  1.448673, Time  0.443577
2021-09-24 07:49:41.520263 : Epoch  4, Batch    606, Loss  1.451290, Average Loss  1.448691, Time  0.448512
2021-09-24 07:49:43.675157 : Epoch  4, Batch    557, Loss  1.436192, Average Loss  1.448596, Time  0.445146
2021-09-24 07:49:47.466576 : Epoch  4, Batch    607, Loss  1.451174, Average Loss  1.448678, Time  0.440579
2021-09-24 07:49:49.633430 : Epoch  4, Batch    558, Loss  1.438168, Average Loss  1.448561, Time  0.447514
2021-09-24 07:49:53.414527 : Epoch  4, Batch    608, Loss  1.438919, Average Loss  1.448676, Time  0.439471
2021-09-24 07:49:55.588976 : Epoch  4, Batch    559, Loss  1.450872, Average Loss  1.448575, Time  0.443745
2021-09-24 07:49:59.359773 : Epoch  4, Batch    609, Loss  1.457669, Average Loss  1.448782, Time  0.442797
2021-09-24 07:50:01.539350 : Epoch  4, Batch    560, Loss  1.453882, Average Loss  1.448554, Time  0.452894
2021-09-24 07:50:05.303367 : Epoch  4, Batch    610, Loss  1.442248, Average Loss  1.448715, Time  0.439260
2021-09-24 07:50:07.495393 : Epoch  4, Batch    561, Loss  1.475520, Average Loss  1.448641, Time  0.445117
2021-09-24 07:50:11.241753 : Epoch  4, Batch    611, Loss  1.441382, Average Loss  1.448633, Time  0.441301
2021-09-24 07:50:13.446300 : Epoch  4, Batch    562, Loss  1.442388, Average Loss  1.448702, Time  0.445490
2021-09-24 07:50:17.180520 : Epoch  4, Batch    612, Loss  1.443001, Average Loss  1.448636, Time  0.440317
2021-09-24 07:50:19.402493 : Epoch  4, Batch    563, Loss  1.452072, Average Loss  1.448728, Time  0.444385
2021-09-24 07:50:23.148833 : Epoch  4, Batch    613, Loss  1.454965, Average Loss  1.448698, Time  0.448131
2021-09-24 07:50:25.350501 : Epoch  4, Batch    564, Loss  1.441774, Average Loss  1.448679, Time  0.443652
2021-09-24 07:50:29.083858 : Epoch  4, Batch    614, Loss  1.448495, Average Loss  1.448679, Time  0.439277
2021-09-24 07:50:31.306803 : Epoch  4, Batch    565, Loss  1.438843, Average Loss  1.448671, Time  0.448483
2021-09-24 07:50:35.029825 : Epoch  4, Batch    615, Loss  1.446327, Average Loss  1.448691, Time  0.441203
2021-09-24 07:50:37.253076 : Epoch  4, Batch    566, Loss  1.435188, Average Loss  1.448613, Time  0.445380
2021-09-24 07:50:40.970754 : Epoch  4, Batch    616, Loss  1.449623, Average Loss  1.448654, Time  0.441726
2021-09-24 07:50:43.223843 : Epoch  4, Batch    567, Loss  1.466838, Average Loss  1.448680, Time  0.452301
2021-09-24 07:50:49.187844 : Epoch  4, Batch    568, Loss  1.448635, Average Loss  1.448708, Time  0.450831
2021-09-24 07:50:55.132976 : Epoch  4, Batch    569, Loss  1.447134, Average Loss  1.448721, Time  0.443194
2021-09-24 07:51:01.069703 : Epoch  4, Batch    570, Loss  1.461337, Average Loss  1.448811, Time  0.443696
2021-09-24 07:51:07.012888 : Epoch  4, Batch    571, Loss  1.455409, Average Loss  1.448788, Time  0.445376
2021-09-24 07:51:12.963432 : Epoch  4, Batch    572, Loss  1.450529, Average Loss  1.448755, Time  0.448234
2021-09-24 07:51:18.911593 : Epoch  4, Batch    573, Loss  1.440065, Average Loss  1.448686, Time  0.443516
2021-09-24 07:51:24.860637 : Epoch  4, Batch    574, Loss  1.441665, Average Loss  1.448611, Time  0.444519
2021-09-24 07:51:30.809274 : Epoch  4, Batch    575, Loss  1.455679, Average Loss  1.448684, Time  0.443857
2021-09-24 07:51:36.764748 : Epoch  4, Batch    576, Loss  1.451099, Average Loss  1.448708, Time  0.456194
2021-09-24 07:51:42.719510 : Epoch  4, Batch    577, Loss  1.437515, Average Loss  1.448700, Time  0.444416
2021-09-24 07:51:48.685312 : Epoch  4, Batch    578, Loss  1.447280, Average Loss  1.448708, Time  0.443804
2021-09-24 07:51:54.641801 : Epoch  4, Batch    579, Loss  1.453895, Average Loss  1.448716, Time  0.443233
2021-09-24 07:52:00.597064 : Epoch  4, Batch    580, Loss  1.434130, Average Loss  1.448664, Time  0.445408
2021-09-24 07:52:06.547355 : Epoch  4, Batch    581, Loss  1.444010, Average Loss  1.448652, Time  0.446313
2021-09-24 07:52:12.513083 : Epoch  4, Batch    582, Loss  1.453970, Average Loss  1.448655, Time  0.443846
2021-09-24 07:52:18.472495 : Epoch  4, Batch    583, Loss  1.446345, Average Loss  1.448583, Time  0.459470
2021-09-24 07:52:24.422778 : Epoch  4, Batch    584, Loss  1.458979, Average Loss  1.448699, Time  0.443296
2021-09-24 07:52:30.380664 : Epoch  4, Batch    585, Loss  1.442016, Average Loss  1.448695, Time  0.447396
2021-09-24 07:52:36.339873 : Epoch  4, Batch    586, Loss  1.448781, Average Loss  1.448707, Time  0.450136
2021-09-24 07:52:42.279413 : Epoch  4, Batch    587, Loss  1.444437, Average Loss  1.448708, Time  0.444383
2021-09-24 07:52:48.219433 : Epoch  4, Batch    588, Loss  1.454024, Average Loss  1.448733, Time  0.443623
2021-09-24 07:52:54.172560 : Epoch  4, Batch    589, Loss  1.448481, Average Loss  1.448754, Time  0.443998
2021-09-24 07:53:00.137452 : Epoch  4, Batch    590, Loss  1.451441, Average Loss  1.448771, Time  0.446086
2021-09-24 07:53:06.107395 : Epoch  4, Batch    591, Loss  1.448715, Average Loss  1.448770, Time  0.463088
2021-09-24 07:53:12.053439 : Epoch  4, Batch    592, Loss  1.460452, Average Loss  1.448843, Time  0.443744
2021-09-24 07:53:18.004157 : Epoch  4, Batch    593, Loss  1.448815, Average Loss  1.448888, Time  0.444206
2021-09-24 07:53:23.961057 : Epoch  4, Batch    594, Loss  1.431620, Average Loss  1.448835, Time  0.443512
2021-09-24 07:53:29.923442 : Epoch  4, Batch    595, Loss  1.444694, Average Loss  1.448794, Time  0.444653
2021-09-24 07:53:35.873768 : Epoch  4, Batch    596, Loss  1.432776, Average Loss  1.448717, Time  0.443801
2021-09-24 07:53:41.817390 : Epoch  4, Batch    597, Loss  1.452596, Average Loss  1.448694, Time  0.443957
2021-09-24 07:53:47.769332 : Epoch  4, Batch    598, Loss  1.439462, Average Loss  1.448654, Time  0.445222
2021-09-24 07:53:53.739806 : Epoch  4, Batch    599, Loss  1.447350, Average Loss  1.448668, Time  0.458745
2021-09-24 07:53:59.699542 : Epoch  4, Batch    600, Loss  1.438829, Average Loss  1.448630, Time  0.443568
2021-09-24 07:54:05.653767 : Epoch  4, Batch    601, Loss  1.459764, Average Loss  1.448597, Time  0.443383
2021-09-24 07:54:11.599682 : Epoch  4, Batch    602, Loss  1.445725, Average Loss  1.448561, Time  0.443182
2021-09-24 07:54:17.545693 : Epoch  4, Batch    603, Loss  1.459005, Average Loss  1.448576, Time  0.445206
2021-09-24 07:54:23.486238 : Epoch  4, Batch    604, Loss  1.446759, Average Loss  1.448596, Time  0.443046
2021-09-24 07:54:29.426330 : Epoch  4, Batch    605, Loss  1.442370, Average Loss  1.448585, Time  0.445502
2021-09-24 07:54:35.381047 : Epoch  4, Batch    606, Loss  1.451676, Average Loss  1.448572, Time  0.444751
2021-09-24 07:54:41.349000 : Epoch  4, Batch    607, Loss  1.442394, Average Loss  1.448553, Time  0.459587
2021-09-24 07:54:47.294814 : Epoch  4, Batch    608, Loss  1.449579, Average Loss  1.448539, Time  0.444269
2021-09-24 07:54:53.251297 : Epoch  4, Batch    609, Loss  1.449386, Average Loss  1.448550, Time  0.451294
2021-09-24 07:54:59.198130 : Epoch  4, Batch    610, Loss  1.447929, Average Loss  1.448510, Time  0.445620
2021-09-24 07:55:05.131801 : Epoch  4, Batch    611, Loss  1.446511, Average Loss  1.448519, Time  0.442796
2021-09-24 07:55:11.084576 : Epoch  4, Batch    612, Loss  1.444155, Average Loss  1.448489, Time  0.443458
2021-09-24 07:55:17.031394 : Epoch  4, Batch    613, Loss  1.443434, Average Loss  1.448479, Time  0.444111
2021-09-24 07:55:20.260258 : CheckPoint: Validation Loss  0.00025294, Best Loss  0.00024726
2021-09-24 07:55:22.976723 : Epoch  4, Batch    614, Loss  1.447263, Average Loss  1.448490, Time  0.444840
2021-09-24 07:55:26.246446 : Epoch  4, Batch    617, Loss  1.463186, Average Loss  1.448712, Time  0.438709
2021-09-24 07:55:28.936302 : Epoch  4, Batch    615, Loss  1.441949, Average Loss  1.448476, Time  0.455749
2021-09-24 07:55:32.277491 : Epoch  4, Batch    618, Loss  1.459128, Average Loss  1.448772, Time  0.440241
2021-09-24 07:55:34.894074 : Epoch  4, Batch    616, Loss  1.444473, Average Loss  1.448483, Time  0.444561
2021-09-24 07:55:38.317475 : Epoch  4, Batch    619, Loss  1.446406, Average Loss  1.448768, Time  0.442002
2021-09-24 07:55:44.355978 : Epoch  4, Batch    620, Loss  1.453683, Average Loss  1.448825, Time  0.446725
2021-09-24 07:55:50.398791 : Epoch  4, Batch    621, Loss  1.450520, Average Loss  1.448882, Time  0.445113
2021-09-24 07:55:56.437248 : Epoch  4, Batch    622, Loss  1.443168, Average Loss  1.448850, Time  0.443599
2021-09-24 07:56:02.495246 : Epoch  4, Batch    623, Loss  1.450514, Average Loss  1.448876, Time  0.444259
2021-09-24 07:56:08.527929 : Epoch  4, Batch    624, Loss  1.450553, Average Loss  1.448945, Time  0.443781
2021-09-24 07:56:14.550871 : Epoch  4, Batch    625, Loss  1.452673, Average Loss  1.448965, Time  0.438510
2021-09-24 07:56:20.585991 : Epoch  4, Batch    626, Loss  1.445149, Average Loss  1.448946, Time  0.441743
2021-09-24 07:56:26.630484 : Epoch  4, Batch    627, Loss  1.451927, Average Loss  1.448952, Time  0.448681
2021-09-24 07:56:32.665079 : Epoch  4, Batch    628, Loss  1.448502, Average Loss  1.448907, Time  0.440581
2021-09-24 07:56:38.679527 : Epoch  4, Batch    629, Loss  1.455491, Average Loss  1.448934, Time  0.440179
2021-09-24 07:56:44.734112 : Epoch  4, Batch    630, Loss  1.453277, Average Loss  1.448977, Time  0.440140
2021-09-24 07:56:50.762804 : Epoch  4, Batch    631, Loss  1.457021, Average Loss  1.449039, Time  0.442636
2021-09-24 07:56:56.806817 : Epoch  4, Batch    632, Loss  1.439192, Average Loss  1.449030, Time  0.440713
2021-09-24 07:57:02.831319 : Epoch  4, Batch    633, Loss  1.454858, Average Loss  1.449048, Time  0.445805
2021-09-24 07:57:08.856096 : Epoch  4, Batch    634, Loss  1.448465, Average Loss  1.448946, Time  0.439857
2021-09-24 07:57:14.889471 : Epoch  4, Batch    635, Loss  1.454200, Average Loss  1.448941, Time  0.449659
2021-09-24 07:57:20.932017 : Epoch  4, Batch    636, Loss  1.449185, Average Loss  1.448950, Time  0.444121
2021-09-24 07:57:26.946735 : Epoch  4, Batch    637, Loss  1.450568, Average Loss  1.448904, Time  0.441972
2021-09-24 07:57:32.960521 : Epoch  4, Batch    638, Loss  1.445113, Average Loss  1.448820, Time  0.440241
2021-09-24 07:57:38.990708 : Epoch  4, Batch    639, Loss  1.441694, Average Loss  1.448759, Time  0.443070
2021-09-24 07:57:45.022132 : Epoch  4, Batch    640, Loss  1.449631, Average Loss  1.448698, Time  0.439780
2021-09-24 07:57:51.050556 : Epoch  4, Batch    641, Loss  1.445515, Average Loss  1.448705, Time  0.439457
2021-09-24 07:57:57.078378 : Epoch  4, Batch    642, Loss  1.464522, Average Loss  1.448771, Time  0.451232
2021-09-24 07:58:03.109789 : Epoch  4, Batch    643, Loss  1.449484, Average Loss  1.448715, Time  0.440728
2021-09-24 07:58:09.145928 : Epoch  4, Batch    644, Loss  1.446483, Average Loss  1.448721, Time  0.450612
2021-09-24 07:58:15.167829 : Epoch  4, Batch    645, Loss  1.445924, Average Loss  1.448682, Time  0.439322
2021-09-24 07:58:21.205883 : Epoch  4, Batch    646, Loss  1.456575, Average Loss  1.448679, Time  0.441567
2021-09-24 07:58:27.228603 : Epoch  4, Batch    647, Loss  1.451171, Average Loss  1.448640, Time  0.439655
2021-09-24 07:58:33.260784 : Epoch  4, Batch    648, Loss  1.453542, Average Loss  1.448586, Time  0.438030
2021-09-24 07:58:39.289333 : Epoch  4, Batch    649, Loss  1.446118, Average Loss  1.448561, Time  0.440932
2021-09-24 07:58:45.329803 : Epoch  4, Batch    650, Loss  1.442447, Average Loss  1.448514, Time  0.450032
2021-09-24 07:58:51.371906 : Epoch  4, Batch    651, Loss  1.459831, Average Loss  1.448497, Time  0.439262
2021-09-24 07:58:57.398954 : Epoch  4, Batch    652, Loss  1.459842, Average Loss  1.448558, Time  0.440649
2021-09-24 07:59:03.432638 : Epoch  4, Batch    653, Loss  1.441472, Average Loss  1.448557, Time  0.439742
2021-09-24 07:59:09.468278 : Epoch  4, Batch    654, Loss  1.455348, Average Loss  1.448587, Time  0.439016
2021-09-24 07:59:15.492038 : Epoch  4, Batch    655, Loss  1.445506, Average Loss  1.448563, Time  0.439845
2021-09-24 07:59:21.521541 : Epoch  4, Batch    656, Loss  1.449879, Average Loss  1.448531, Time  0.439134
2021-09-24 07:59:27.560786 : Epoch  4, Batch    657, Loss  1.441900, Average Loss  1.448483, Time  0.451737
2021-09-24 07:59:33.593233 : Epoch  4, Batch    658, Loss  1.445580, Average Loss  1.448419, Time  0.440310
2021-09-24 07:59:39.623419 : Epoch  4, Batch    659, Loss  1.450847, Average Loss  1.448392, Time  0.440452
2021-09-24 07:59:45.648373 : Epoch  4, Batch    660, Loss  1.440782, Average Loss  1.448356, Time  0.439296
2021-09-24 07:59:51.679705 : Epoch  4, Batch    661, Loss  1.449149, Average Loss  1.448372, Time  0.441161
2021-09-24 07:59:57.708796 : Epoch  4, Batch    662, Loss  1.441002, Average Loss  1.448307, Time  0.448702
2021-09-24 08:00:03.742869 : Epoch  4, Batch    663, Loss  1.443255, Average Loss  1.448283, Time  0.440237
2021-09-24 08:00:09.786486 : Epoch  4, Batch    664, Loss  1.431589, Average Loss  1.448204, Time  0.444404
2021-09-24 08:00:15.830860 : Epoch  4, Batch    665, Loss  1.439164, Average Loss  1.448195, Time  0.458545
2021-09-24 08:00:17.817820 : CheckPoint: Validation Loss  0.00025621, Best Loss  0.00024587
2021-09-24 08:00:21.845160 : Epoch  4, Batch    666, Loss  1.442116, Average Loss  1.448171, Time  0.438949
2021-09-24 08:00:23.820013 : Epoch  4, Batch    617, Loss  1.455335, Average Loss  1.448542, Time  0.445750
2021-09-24 08:00:27.860658 : Epoch  4, Batch    667, Loss  1.449617, Average Loss  1.448152, Time  0.438214
2021-09-24 08:00:29.761442 : Epoch  4, Batch    618, Loss  1.445650, Average Loss  1.448461, Time  0.443313
2021-09-24 08:00:33.905248 : Epoch  4, Batch    668, Loss  1.442146, Average Loss  1.448141, Time  0.440223
2021-09-24 08:00:35.710659 : Epoch  4, Batch    619, Loss  1.450224, Average Loss  1.448387, Time  0.444338
2021-09-24 08:00:39.934862 : Epoch  4, Batch    669, Loss  1.448040, Average Loss  1.448165, Time  0.442077
2021-09-24 08:00:41.663995 : Epoch  4, Batch    620, Loss  1.445923, Average Loss  1.448321, Time  0.445841
2021-09-24 08:00:45.968886 : Epoch  4, Batch    670, Loss  1.444677, Average Loss  1.448122, Time  0.447105
2021-09-24 08:00:47.648348 : Epoch  4, Batch    621, Loss  1.457164, Average Loss  1.448299, Time  0.456287
2021-09-24 08:00:51.987594 : Epoch  4, Batch    671, Loss  1.455849, Average Loss  1.448123, Time  0.439213
2021-09-24 08:00:53.633599 : Epoch  4, Batch    622, Loss  1.439205, Average Loss  1.448234, Time  0.445350
2021-09-24 08:00:58.021052 : Epoch  4, Batch    672, Loss  1.444981, Average Loss  1.448107, Time  0.438730
2021-09-24 08:00:59.586598 : Epoch  4, Batch    623, Loss  1.452259, Average Loss  1.448298, Time  0.445045
2021-09-24 08:01:04.073801 : Epoch  4, Batch    673, Loss  1.449085, Average Loss  1.448091, Time  0.458665
2021-09-24 08:01:05.544865 : Epoch  4, Batch    624, Loss  1.449701, Average Loss  1.448266, Time  0.449429
2021-09-24 08:01:10.101914 : Epoch  4, Batch    674, Loss  1.434658, Average Loss  1.448000, Time  0.440526
2021-09-24 08:01:11.481543 : Epoch  4, Batch    625, Loss  1.446580, Average Loss  1.448315, Time  0.447646
2021-09-24 08:01:16.130525 : Epoch  4, Batch    675, Loss  1.448332, Average Loss  1.448023, Time  0.440996
2021-09-24 08:01:17.439886 : Epoch  4, Batch    626, Loss  1.442058, Average Loss  1.448270, Time  0.445904
2021-09-24 08:01:22.158466 : Epoch  4, Batch    676, Loss  1.446213, Average Loss  1.448025, Time  0.449213
2021-09-24 08:01:23.383513 : Epoch  4, Batch    627, Loss  1.452479, Average Loss  1.448287, Time  0.447760
2021-09-24 08:01:28.188674 : Epoch  4, Batch    677, Loss  1.440970, Average Loss  1.447971, Time  0.440281
2021-09-24 08:01:29.352237 : Epoch  4, Batch    628, Loss  1.450203, Average Loss  1.448298, Time  0.449231
2021-09-24 08:01:34.223475 : Epoch  4, Batch    678, Loss  1.445897, Average Loss  1.447900, Time  0.439629
2021-09-24 08:01:35.320000 : Epoch  4, Batch    629, Loss  1.429572, Average Loss  1.448164, Time  0.459449
2021-09-24 08:01:40.243327 : Epoch  4, Batch    679, Loss  1.454330, Average Loss  1.447981, Time  0.440015
2021-09-24 08:01:41.264566 : Epoch  4, Batch    630, Loss  1.444095, Average Loss  1.448161, Time  0.444791
2021-09-24 08:01:46.284514 : Epoch  4, Batch    680, Loss  1.460511, Average Loss  1.448028, Time  0.451800
2021-09-24 08:01:47.212549 : Epoch  4, Batch    631, Loss  1.465403, Average Loss  1.448198, Time  0.444216
2021-09-24 08:01:52.325003 : Epoch  4, Batch    681, Loss  1.451570, Average Loss  1.448064, Time  0.439255
2021-09-24 08:01:53.183604 : Epoch  4, Batch    632, Loss  1.442822, Average Loss  1.448195, Time  0.443281
2021-09-24 08:01:58.348402 : Epoch  4, Batch    682, Loss  1.430844, Average Loss  1.448004, Time  0.440198
2021-09-24 08:01:59.137919 : Epoch  4, Batch    633, Loss  1.448925, Average Loss  1.448151, Time  0.443532
2021-09-24 08:02:04.361693 : Epoch  4, Batch    683, Loss  1.449012, Average Loss  1.448025, Time  0.438421
2021-09-24 08:02:05.078821 : Epoch  4, Batch    634, Loss  1.452933, Average Loss  1.448232, Time  0.443298
2021-09-24 08:02:10.408747 : Epoch  4, Batch    684, Loss  1.444500, Average Loss  1.448011, Time  0.438737
2021-09-24 08:02:11.032727 : Epoch  4, Batch    635, Loss  1.457934, Average Loss  1.448288, Time  0.443774
2021-09-24 08:02:16.434141 : Epoch  4, Batch    685, Loss  1.432346, Average Loss  1.447892, Time  0.439423
2021-09-24 08:02:16.996701 : Epoch  4, Batch    636, Loss  1.450237, Average Loss  1.448262, Time  0.444688
2021-09-24 08:02:22.467309 : Epoch  4, Batch    686, Loss  1.454071, Average Loss  1.447903, Time  0.440443
2021-09-24 08:02:22.956858 : Epoch  4, Batch    637, Loss  1.432094, Average Loss  1.448150, Time  0.458953
2021-09-24 08:02:28.497482 : Epoch  4, Batch    687, Loss  1.443825, Average Loss  1.447876, Time  0.441464
2021-09-24 08:02:28.904640 : Epoch  4, Batch    638, Loss  1.466099, Average Loss  1.448194, Time  0.453005
2021-09-24 08:02:34.539499 : Epoch  4, Batch    688, Loss  1.441917, Average Loss  1.447892, Time  0.457054
2021-09-24 08:02:34.845875 : Epoch  4, Batch    639, Loss  1.440156, Average Loss  1.448155, Time  0.445479
2021-09-24 08:02:40.558852 : Epoch  4, Batch    689, Loss  1.446662, Average Loss  1.447860, Time  0.441783
2021-09-24 08:02:40.772778 : Epoch  4, Batch    640, Loss  1.450429, Average Loss  1.448103, Time  0.444883
2021-09-24 08:02:46.585378 : Epoch  4, Batch    690, Loss  1.449509, Average Loss  1.447847, Time  0.441902
2021-09-24 08:02:46.709678 : Epoch  4, Batch    641, Loss  1.444510, Average Loss  1.448160, Time  0.452335
2021-09-24 08:02:52.611796 : Epoch  4, Batch    691, Loss  1.444650, Average Loss  1.447758, Time  0.440303
2021-09-24 08:02:52.649983 : Epoch  4, Batch    642, Loss  1.451059, Average Loss  1.448114, Time  0.443149
2021-09-24 08:02:58.585157 : Epoch  4, Batch    643, Loss  1.452069, Average Loss  1.448055, Time  0.443230
2021-09-24 08:02:58.634893 : Epoch  4, Batch    692, Loss  1.448809, Average Loss  1.447756, Time  0.439848
2021-09-24 08:03:04.540309 : Epoch  4, Batch    644, Loss  1.449888, Average Loss  1.448076, Time  0.457126
2021-09-24 08:03:04.637483 : Epoch  4, Batch    693, Loss  1.437454, Average Loss  1.447671, Time  0.440623
2021-09-24 08:03:10.484110 : Epoch  4, Batch    645, Loss  1.444987, Average Loss  1.448067, Time  0.444806
2021-09-24 08:03:10.662895 : Epoch  4, Batch    694, Loss  1.443245, Average Loss  1.447702, Time  0.440259
2021-09-24 08:03:16.443904 : Epoch  4, Batch    646, Loss  1.450673, Average Loss  1.448093, Time  0.445124
2021-09-24 08:03:16.688125 : Epoch  4, Batch    695, Loss  1.456125, Average Loss  1.447725, Time  0.453956
2021-09-24 08:03:22.387720 : Epoch  4, Batch    647, Loss  1.447105, Average Loss  1.448070, Time  0.445149
2021-09-24 08:03:22.710749 : Epoch  4, Batch    696, Loss  1.448708, Average Loss  1.447634, Time  0.441434
2021-09-24 08:03:28.341947 : Epoch  4, Batch    648, Loss  1.451783, Average Loss  1.448044, Time  0.444261
2021-09-24 08:03:28.728821 : Epoch  4, Batch    697, Loss  1.446886, Average Loss  1.447648, Time  0.438729
2021-09-24 08:03:34.302975 : Epoch  4, Batch    649, Loss  1.455499, Average Loss  1.448111, Time  0.444092
2021-09-24 08:03:34.741758 : Epoch  4, Batch    698, Loss  1.439931, Average Loss  1.447583, Time  0.439029
2021-09-24 08:03:40.267246 : Epoch  4, Batch    650, Loss  1.444812, Average Loss  1.448123, Time  0.443542
2021-09-24 08:03:40.762009 : Epoch  4, Batch    699, Loss  1.441922, Average Loss  1.447520, Time  0.438543
2021-09-24 08:03:46.222421 : Epoch  4, Batch    651, Loss  1.451941, Average Loss  1.448177, Time  0.444202
2021-09-24 08:03:46.802777 : Epoch  4, Batch    700, Loss  1.444710, Average Loss  1.447494, Time  0.440794
2021-09-24 08:03:50.653096 : Epoch  4, Batch    652, Loss  1.443746, Average Loss  1.448192, Time  0.354428
2021-09-24 08:03:52.842081 : Epoch  4, Batch    701, Loss  1.453334, Average Loss  1.447529, Time  0.441831
2021-09-24 08:03:56.606580 : Epoch  4, Batch    653, Loss  1.440229, Average Loss  1.448179, Time  0.447012
2021-09-24 08:03:58.865525 : Epoch  4, Batch    702, Loss  1.442253, Average Loss  1.447476, Time  0.438601
2021-09-24 08:04:02.559757 : Epoch  4, Batch    654, Loss  1.451191, Average Loss  1.448230, Time  0.443543
2021-09-24 08:04:04.899998 : Epoch  4, Batch    703, Loss  1.444619, Average Loss  1.447565, Time  0.446950
2021-09-24 08:04:08.509750 : Epoch  4, Batch    655, Loss  1.433477, Average Loss  1.448227, Time  0.446060
2021-09-24 08:04:10.934854 : Epoch  4, Batch    704, Loss  1.452926, Average Loss  1.447555, Time  0.439018
2021-09-24 08:04:14.471944 : Epoch  4, Batch    656, Loss  1.454253, Average Loss  1.448325, Time  0.444225
2021-09-24 08:04:16.982859 : Epoch  4, Batch    705, Loss  1.439151, Average Loss  1.447487, Time  0.439871
2021-09-24 08:04:20.424197 : Epoch  4, Batch    657, Loss  1.463097, Average Loss  1.448443, Time  0.444351
2021-09-24 08:04:23.041406 : Epoch  4, Batch    706, Loss  1.440372, Average Loss  1.447503, Time  0.443161
2021-09-24 08:04:26.363333 : Epoch  4, Batch    658, Loss  1.442268, Average Loss  1.448376, Time  0.443696
2021-09-24 08:04:29.083669 : Epoch  4, Batch    707, Loss  1.436434, Average Loss  1.447488, Time  0.439231
2021-09-24 08:04:32.318805 : Epoch  4, Batch    659, Loss  1.439419, Average Loss  1.448296, Time  0.443220
2021-09-24 08:04:35.108468 : Epoch  4, Batch    708, Loss  1.457976, Average Loss  1.447531, Time  0.439452
2021-09-24 08:04:38.271376 : Epoch  4, Batch    660, Loss  1.443632, Average Loss  1.448309, Time  0.454336
2021-09-24 08:04:41.136502 : Epoch  4, Batch    709, Loss  1.458259, Average Loss  1.447554, Time  0.441042
2021-09-24 08:04:44.218798 : Epoch  4, Batch    661, Loss  1.465181, Average Loss  1.448411, Time  0.449749
2021-09-24 08:04:47.180291 : Epoch  4, Batch    710, Loss  1.454577, Average Loss  1.447584, Time  0.448475
2021-09-24 08:04:50.165313 : Epoch  4, Batch    662, Loss  1.454766, Average Loss  1.448443, Time  0.443327
2021-09-24 08:04:53.215816 : Epoch  4, Batch    711, Loss  1.449483, Average Loss  1.447570, Time  0.441836
2021-09-24 08:04:56.134700 : Epoch  4, Batch    663, Loss  1.453142, Average Loss  1.448480, Time  0.445081
2021-09-24 08:04:59.256984 : Epoch  4, Batch    712, Loss  1.450252, Average Loss  1.447581, Time  0.440892
2021-09-24 08:05:02.079671 : Epoch  4, Batch    664, Loss  1.446051, Average Loss  1.448518, Time  0.443903
2021-09-24 08:05:05.288144 : Epoch  4, Batch    713, Loss  1.449364, Average Loss  1.447625, Time  0.440282
2021-09-24 08:05:08.034420 : Epoch  4, Batch    665, Loss  1.443732, Average Loss  1.448466, Time  0.447704
2021-09-24 08:05:11.330043 : Epoch  4, Batch    714, Loss  1.447556, Average Loss  1.447646, Time  0.440244
2021-09-24 08:05:13.985603 : Epoch  4, Batch    666, Loss  1.441041, Average Loss  1.448414, Time  0.445338
2021-09-24 08:05:17.349990 : Epoch  4, Batch    715, Loss  1.451877, Average Loss  1.447731, Time  0.443444
2021-09-24 08:05:19.948993 : Epoch  4, Batch    667, Loss  1.449343, Average Loss  1.448424, Time  0.444432
2021-09-24 08:05:23.390896 : Epoch  4, Batch    716, Loss  1.455174, Average Loss  1.447754, Time  0.439882
2021-09-24 08:05:25.951226 : Epoch  4, Batch    668, Loss  1.442812, Average Loss  1.448417, Time  0.464627
2021-09-24 08:05:31.906675 : Epoch  4, Batch    669, Loss  1.438639, Average Loss  1.448339, Time  0.445064
2021-09-24 08:05:37.837168 : Epoch  4, Batch    670, Loss  1.437996, Average Loss  1.448262, Time  0.444634
2021-09-24 08:05:43.763247 : Epoch  4, Batch    671, Loss  1.448016, Average Loss  1.448256, Time  0.443959
2021-09-24 08:05:49.698711 : Epoch  4, Batch    672, Loss  1.445971, Average Loss  1.448304, Time  0.443942
2021-09-24 08:05:55.649320 : Epoch  4, Batch    673, Loss  1.455620, Average Loss  1.448342, Time  0.443652
2021-09-24 08:06:01.590219 : Epoch  4, Batch    674, Loss  1.443083, Average Loss  1.448290, Time  0.444367
2021-09-24 08:06:07.544785 : Epoch  4, Batch    675, Loss  1.440077, Average Loss  1.448304, Time  0.462603
2021-09-24 08:06:13.487028 : Epoch  4, Batch    676, Loss  1.452042, Average Loss  1.448360, Time  0.443562
2021-09-24 08:06:19.440126 : Epoch  4, Batch    677, Loss  1.452312, Average Loss  1.448372, Time  0.447854
2021-09-24 08:06:25.392689 : Epoch  4, Batch    678, Loss  1.446892, Average Loss  1.448427, Time  0.445871
2021-09-24 08:06:31.343733 : Epoch  4, Batch    679, Loss  1.452162, Average Loss  1.448404, Time  0.445139
2021-09-24 08:06:37.298977 : Epoch  4, Batch    680, Loss  1.444266, Average Loss  1.448412, Time  0.446888
2021-09-24 08:06:43.253302 : Epoch  4, Batch    681, Loss  1.453015, Average Loss  1.448419, Time  0.445499
2021-09-24 08:06:49.214516 : Epoch  4, Batch    682, Loss  1.459603, Average Loss  1.448509, Time  0.445852
2021-09-24 08:06:55.187224 : Epoch  4, Batch    683, Loss  1.449307, Average Loss  1.448491, Time  0.460532
2021-09-24 08:07:01.129720 : Epoch  4, Batch    684, Loss  1.452078, Average Loss  1.448512, Time  0.443480
2021-09-24 08:07:07.091825 : Epoch  4, Batch    685, Loss  1.442505, Average Loss  1.448490, Time  0.443723
2021-09-24 08:07:13.046893 : Epoch  4, Batch    686, Loss  1.458986, Average Loss  1.448543, Time  0.444276
2021-09-24 08:07:19.002628 : Epoch  4, Batch    687, Loss  1.452718, Average Loss  1.448581, Time  0.446302
2021-09-24 08:07:24.943225 : Epoch  4, Batch    688, Loss  1.450211, Average Loss  1.448632, Time  0.445442
2021-09-24 08:07:30.895739 : Epoch  4, Batch    689, Loss  1.445771, Average Loss  1.448636, Time  0.443922
2021-09-24 08:07:36.850399 : Epoch  4, Batch    690, Loss  1.450943, Average Loss  1.448647, Time  0.447842
2021-09-24 08:07:42.814413 : Epoch  4, Batch    691, Loss  1.436277, Average Loss  1.448582, Time  0.461702
2021-09-24 08:07:48.747234 : Epoch  4, Batch    692, Loss  1.437682, Average Loss  1.448548, Time  0.446407
2021-09-24 08:07:54.695780 : Epoch  4, Batch    693, Loss  1.455182, Average Loss  1.448566, Time  0.443429
2021-09-24 08:08:00.644485 : Epoch  4, Batch    694, Loss  1.455454, Average Loss  1.448547, Time  0.442966
2021-09-24 08:08:06.579881 : Epoch  4, Batch    695, Loss  1.441440, Average Loss  1.448449, Time  0.443305
2021-09-24 08:08:12.517333 : Epoch  4, Batch    696, Loss  1.436590, Average Loss  1.448411, Time  0.443325
2021-09-24 08:08:18.457899 : Epoch  4, Batch    697, Loss  1.446173, Average Loss  1.448410, Time  0.443132
2021-09-24 08:08:24.390564 : Epoch  4, Batch    698, Loss  1.453199, Average Loss  1.448435, Time  0.446128
2021-09-24 08:08:30.347796 : Epoch  4, Batch    699, Loss  1.458120, Average Loss  1.448446, Time  0.454745
2021-09-24 08:08:36.297789 : Epoch  4, Batch    700, Loss  1.456220, Average Loss  1.448400, Time  0.443875
2021-09-24 08:08:42.260601 : Epoch  4, Batch    701, Loss  1.446405, Average Loss  1.448389, Time  0.443997
2021-09-24 08:08:48.197118 : Epoch  4, Batch    702, Loss  1.453772, Average Loss  1.448406, Time  0.443323
2021-09-24 08:08:54.133751 : Epoch  4, Batch    703, Loss  1.453705, Average Loss  1.448436, Time  0.443210
2021-09-24 08:09:00.094482 : Epoch  4, Batch    704, Loss  1.436870, Average Loss  1.448409, Time  0.443621
2021-09-24 08:09:06.027173 : Epoch  4, Batch    705, Loss  1.458346, Average Loss  1.448442, Time  0.443215
2021-09-24 08:09:11.972742 : Epoch  4, Batch    706, Loss  1.446760, Average Loss  1.448399, Time  0.443365
2021-09-24 08:09:17.930345 : Epoch  4, Batch    707, Loss  1.438141, Average Loss  1.448312, Time  0.459322
2021-09-24 08:09:23.870812 : Epoch  4, Batch    708, Loss  1.449355, Average Loss  1.448319, Time  0.445102
2021-09-24 08:09:29.824956 : Epoch  4, Batch    709, Loss  1.449187, Average Loss  1.448390, Time  0.445843
2021-09-24 08:09:35.772715 : Epoch  4, Batch    710, Loss  1.454864, Average Loss  1.448401, Time  0.443363
2021-09-24 08:09:41.748858 : Epoch  4, Batch    711, Loss  1.445342, Average Loss  1.448475, Time  0.443343
2021-09-24 08:09:47.678721 : Epoch  4, Batch    712, Loss  1.451166, Average Loss  1.448544, Time  0.442814
2021-09-24 08:09:53.649499 : Epoch  4, Batch    713, Loss  1.453123, Average Loss  1.448575, Time  0.446406
2021-09-24 08:09:59.605847 : Epoch  4, Batch    714, Loss  1.452565, Average Loss  1.448564, Time  0.455032
2021-09-24 08:10:01.194065 : CheckPoint: Validation Loss  0.00025212, Best Loss  0.00024726
2021-09-24 08:10:05.554448 : Epoch  4, Batch    715, Loss  1.451747, Average Loss  1.448605, Time  0.443057
2021-09-24 08:10:07.176269 : Epoch  4, Batch    717, Loss  1.439289, Average Loss  1.447706, Time  0.441440
2021-09-24 08:10:11.516609 : Epoch  4, Batch    716, Loss  1.446025, Average Loss  1.448594, Time  0.444224
2021-09-24 08:10:13.202314 : Epoch  4, Batch    718, Loss  1.447218, Average Loss  1.447694, Time  0.450687
2021-09-24 08:10:19.207307 : Epoch  4, Batch    719, Loss  1.449614, Average Loss  1.447650, Time  0.438239
2021-09-24 08:10:25.221445 : Epoch  4, Batch    720, Loss  1.447968, Average Loss  1.447604, Time  0.438930
2021-09-24 08:10:31.235816 : Epoch  4, Batch    721, Loss  1.459556, Average Loss  1.447629, Time  0.446150
2021-09-24 08:10:37.275066 : Epoch  4, Batch    722, Loss  1.448741, Average Loss  1.447665, Time  0.443126
2021-09-24 08:10:43.293653 : Epoch  4, Batch    723, Loss  1.458248, Average Loss  1.447686, Time  0.440641
2021-09-24 08:10:49.312818 : Epoch  4, Batch    724, Loss  1.447803, Average Loss  1.447647, Time  0.439029
2021-09-24 08:10:55.315589 : Epoch  4, Batch    725, Loss  1.448227, Average Loss  1.447646, Time  0.452828
2021-09-24 08:11:01.319017 : Epoch  4, Batch    726, Loss  1.449866, Average Loss  1.447619, Time  0.438489
2021-09-24 08:11:07.313362 : Epoch  4, Batch    727, Loss  1.451096, Average Loss  1.447655, Time  0.439547
2021-09-24 08:11:13.307535 : Epoch  4, Batch    728, Loss  1.453043, Average Loss  1.447689, Time  0.439270
2021-09-24 08:11:19.319339 : Epoch  4, Batch    729, Loss  1.451572, Average Loss  1.447638, Time  0.440819
2021-09-24 08:11:25.320871 : Epoch  4, Batch    730, Loss  1.444012, Average Loss  1.447653, Time  0.439126
2021-09-24 08:11:31.342552 : Epoch  4, Batch    731, Loss  1.452061, Average Loss  1.447701, Time  0.444498
2021-09-24 08:11:37.357685 : Epoch  4, Batch    732, Loss  1.450709, Average Loss  1.447747, Time  0.438327
2021-09-24 08:11:43.382573 : Epoch  4, Batch    733, Loss  1.438830, Average Loss  1.447701, Time  0.454389
2021-09-24 08:11:49.395823 : Epoch  4, Batch    734, Loss  1.451229, Average Loss  1.447742, Time  0.440341
2021-09-24 08:11:55.407835 : Epoch  4, Batch    735, Loss  1.446606, Average Loss  1.447704, Time  0.440496
2021-09-24 08:12:01.399420 : Epoch  4, Batch    736, Loss  1.453348, Average Loss  1.447778, Time  0.439651
2021-09-24 08:12:07.402556 : Epoch  4, Batch    737, Loss  1.437338, Average Loss  1.447727, Time  0.438684
2021-09-24 08:12:13.425261 : Epoch  4, Batch    738, Loss  1.442030, Average Loss  1.447740, Time  0.447153
2021-09-24 08:12:19.444871 : Epoch  4, Batch    739, Loss  1.439602, Average Loss  1.447724, Time  0.439894
2021-09-24 08:12:25.467752 : Epoch  4, Batch    740, Loss  1.455903, Average Loss  1.447768, Time  0.454681
2021-09-24 08:12:31.491207 : Epoch  4, Batch    741, Loss  1.450674, Average Loss  1.447836, Time  0.442373
2021-09-24 08:12:37.528860 : Epoch  4, Batch    742, Loss  1.443694, Average Loss  1.447786, Time  0.442461
2021-09-24 08:12:43.589982 : Epoch  4, Batch    743, Loss  1.447301, Average Loss  1.447758, Time  0.440030
2021-09-24 08:12:49.601742 : Epoch  4, Batch    744, Loss  1.452484, Average Loss  1.447802, Time  0.446075
2021-09-24 08:12:55.621190 : Epoch  4, Batch    745, Loss  1.458783, Average Loss  1.447903, Time  0.439029
2021-09-24 08:13:01.627860 : Epoch  4, Batch    746, Loss  1.452490, Average Loss  1.447890, Time  0.442072
2021-09-24 08:13:07.658845 : Epoch  4, Batch    747, Loss  1.453434, Average Loss  1.447949, Time  0.439593
2021-09-24 08:13:13.697907 : Epoch  4, Batch    748, Loss  1.454092, Average Loss  1.447974, Time  0.449448
2021-09-24 08:13:19.717749 : Epoch  4, Batch    749, Loss  1.450034, Average Loss  1.447930, Time  0.445543
2021-09-24 08:13:25.726862 : Epoch  4, Batch    750, Loss  1.449829, Average Loss  1.447904, Time  0.441674
2021-09-24 08:13:31.731237 : Epoch  4, Batch    751, Loss  1.439571, Average Loss  1.447899, Time  0.442037
2021-09-24 08:13:37.736037 : Epoch  4, Batch    752, Loss  1.453081, Average Loss  1.447901, Time  0.441679
2021-09-24 08:13:43.773750 : Epoch  4, Batch    753, Loss  1.437537, Average Loss  1.447816, Time  0.442968
2021-09-24 08:13:49.794252 : Epoch  4, Batch    754, Loss  1.452042, Average Loss  1.447819, Time  0.439578
2021-09-24 08:13:55.820217 : Epoch  4, Batch    755, Loss  1.468950, Average Loss  1.447926, Time  0.449363
2021-09-24 08:14:01.836510 : Epoch  4, Batch    756, Loss  1.452174, Average Loss  1.447950, Time  0.439564
2021-09-24 08:14:07.825889 : Epoch  4, Batch    757, Loss  1.446931, Average Loss  1.447997, Time  0.439713
2021-09-24 08:14:13.838319 : Epoch  4, Batch    758, Loss  1.454634, Average Loss  1.448012, Time  0.439486
2021-09-24 08:14:19.855766 : Epoch  4, Batch    759, Loss  1.450015, Average Loss  1.448048, Time  0.440775
2021-09-24 08:14:25.868596 : Epoch  4, Batch    760, Loss  1.446254, Average Loss  1.448086, Time  0.439335
2021-09-24 08:14:31.888291 : Epoch  4, Batch    761, Loss  1.448572, Average Loss  1.448164, Time  0.439071
2021-09-24 08:14:37.900929 : Epoch  4, Batch    762, Loss  1.450337, Average Loss  1.448199, Time  0.439747
2021-09-24 08:14:43.941258 : Epoch  4, Batch    763, Loss  1.451570, Average Loss  1.448186, Time  0.453376
2021-09-24 08:14:49.954610 : Epoch  4, Batch    764, Loss  1.454471, Average Loss  1.448178, Time  0.440273
2021-09-24 08:14:52.774079 : CheckPoint: Validation Loss  0.00025375, Best Loss  0.00024587
2021-09-24 08:14:55.972103 : Epoch  4, Batch    765, Loss  1.449600, Average Loss  1.448221, Time  0.438757
2021-09-24 08:14:58.750170 : Epoch  4, Batch    717, Loss  1.439995, Average Loss  1.448583, Time  0.447020
2021-09-24 08:15:01.991852 : Epoch  4, Batch    766, Loss  1.455896, Average Loss  1.448278, Time  0.447131
2021-09-24 08:15:04.693900 : Epoch  4, Batch    718, Loss  1.447993, Average Loss  1.448557, Time  0.443253
2021-09-24 08:15:08.002647 : Epoch  4, Batch    767, Loss  1.460228, Average Loss  1.448338, Time  0.444542
2021-09-24 08:15:10.632854 : Epoch  4, Batch    719, Loss  1.457005, Average Loss  1.448558, Time  0.443781
2021-09-24 08:15:14.008758 : Epoch  4, Batch    768, Loss  1.433505, Average Loss  1.448325, Time  0.443419
2021-09-24 08:15:16.600803 : Epoch  4, Batch    720, Loss  1.447501, Average Loss  1.448554, Time  0.458643
2021-09-24 08:15:20.037175 : Epoch  4, Batch    769, Loss  1.440208, Average Loss  1.448240, Time  0.448141
2021-09-24 08:15:22.537495 : Epoch  4, Batch    721, Loss  1.456040, Average Loss  1.448610, Time  0.444298
2021-09-24 08:15:26.048576 : Epoch  4, Batch    770, Loss  1.445670, Average Loss  1.448275, Time  0.451628
2021-09-24 08:15:28.491313 : Epoch  4, Batch    722, Loss  1.443516, Average Loss  1.448619, Time  0.447587
2021-09-24 08:15:32.052129 : Epoch  4, Batch    771, Loss  1.448110, Average Loss  1.448266, Time  0.441318
2021-09-24 08:15:34.426316 : Epoch  4, Batch    723, Loss  1.441155, Average Loss  1.448544, Time  0.446159
2021-09-24 08:15:38.069001 : Epoch  4, Batch    772, Loss  1.447931, Average Loss  1.448268, Time  0.440746
2021-09-24 08:15:40.366924 : Epoch  4, Batch    724, Loss  1.446509, Average Loss  1.448478, Time  0.449180
2021-09-24 08:15:44.084614 : Epoch  4, Batch    773, Loss  1.444607, Average Loss  1.448271, Time  0.438663
2021-09-24 08:15:46.303887 : Epoch  4, Batch    725, Loss  1.451457, Average Loss  1.448532, Time  0.442990
2021-09-24 08:15:50.104678 : Epoch  4, Batch    774, Loss  1.451569, Average Loss  1.448308, Time  0.446271
2021-09-24 08:15:52.241910 : Epoch  4, Batch    726, Loss  1.428636, Average Loss  1.448338, Time  0.444121
2021-09-24 08:15:56.125477 : Epoch  4, Batch    775, Loss  1.448010, Average Loss  1.448337, Time  0.439036
2021-09-24 08:15:58.188874 : Epoch  4, Batch    727, Loss  1.437859, Average Loss  1.448273, Time  0.446319
2021-09-24 08:16:02.136783 : Epoch  4, Batch    776, Loss  1.441635, Average Loss  1.448304, Time  0.441676
2021-09-24 08:16:04.145559 : Epoch  4, Batch    728, Loss  1.443930, Average Loss  1.448276, Time  0.455775
2021-09-24 08:16:08.146710 : Epoch  4, Batch    777, Loss  1.453853, Average Loss  1.448371, Time  0.439493
2021-09-24 08:16:10.086645 : Epoch  4, Batch    729, Loss  1.448190, Average Loss  1.448237, Time  0.445955
2021-09-24 08:16:14.170837 : Epoch  4, Batch    778, Loss  1.446915, Average Loss  1.448350, Time  0.452384
2021-09-24 08:16:16.030849 : Epoch  4, Batch    730, Loss  1.438866, Average Loss  1.448119, Time  0.443648
2021-09-24 08:16:20.184288 : Epoch  4, Batch    779, Loss  1.442163, Average Loss  1.448270, Time  0.438928
2021-09-24 08:16:21.983721 : Epoch  4, Batch    731, Loss  1.431062, Average Loss  1.448015, Time  0.443484
2021-09-24 08:16:26.220940 : Epoch  4, Batch    780, Loss  1.442061, Average Loss  1.448256, Time  0.438585
2021-09-24 08:16:27.923735 : Epoch  4, Batch    732, Loss  1.439418, Average Loss  1.447976, Time  0.443202
2021-09-24 08:16:32.249084 : Epoch  4, Batch    781, Loss  1.454618, Average Loss  1.448319, Time  0.443047
2021-09-24 08:16:33.872457 : Epoch  4, Batch    733, Loss  1.458228, Average Loss  1.448039, Time  0.444849
2021-09-24 08:16:38.257780 : Epoch  4, Batch    782, Loss  1.452512, Average Loss  1.448306, Time  0.439926
2021-09-24 08:16:39.818318 : Epoch  4, Batch    734, Loss  1.443431, Average Loss  1.448017, Time  0.443326
2021-09-24 08:16:44.274315 : Epoch  4, Batch    783, Loss  1.457353, Average Loss  1.448325, Time  0.439339
2021-09-24 08:16:45.751227 : Epoch  4, Batch    735, Loss  1.447572, Average Loss  1.448053, Time  0.444037
2021-09-24 08:16:50.303568 : Epoch  4, Batch    784, Loss  1.446354, Average Loss  1.448311, Time  0.442251
2021-09-24 08:16:51.704384 : Epoch  4, Batch    736, Loss  1.450038, Average Loss  1.448065, Time  0.457458
2021-09-24 08:16:56.333625 : Epoch  4, Batch    785, Loss  1.462875, Average Loss  1.448346, Time  0.450662
2021-09-24 08:16:57.647020 : Epoch  4, Batch    737, Loss  1.457607, Average Loss  1.448105, Time  0.445649
2021-09-24 08:17:02.355469 : Epoch  4, Batch    786, Loss  1.445195, Average Loss  1.448294, Time  0.440972
2021-09-24 08:17:03.598786 : Epoch  4, Batch    738, Loss  1.462147, Average Loss  1.448191, Time  0.445130
2021-09-24 08:17:08.371035 : Epoch  4, Batch    787, Loss  1.451775, Average Loss  1.448312, Time  0.440907
2021-09-24 08:17:09.555521 : Epoch  4, Batch    739, Loss  1.458476, Average Loss  1.448148, Time  0.443257
2021-09-24 08:17:14.380488 : Epoch  4, Batch    788, Loss  1.444493, Average Loss  1.448284, Time  0.440702
2021-09-24 08:17:15.496170 : Epoch  4, Batch    740, Loss  1.453052, Average Loss  1.448185, Time  0.444123
2021-09-24 08:17:20.388838 : Epoch  4, Batch    789, Loss  1.449034, Average Loss  1.448323, Time  0.438419
2021-09-24 08:17:21.438754 : Epoch  4, Batch    741, Loss  1.451422, Average Loss  1.448199, Time  0.445274
2021-09-24 08:17:26.396661 : Epoch  4, Batch    790, Loss  1.440415, Average Loss  1.448288, Time  0.440037
2021-09-24 08:17:27.389897 : Epoch  4, Batch    742, Loss  1.452188, Average Loss  1.448270, Time  0.444324
2021-09-24 08:17:32.407798 : Epoch  4, Batch    791, Loss  1.454656, Average Loss  1.448343, Time  0.438278
2021-09-24 08:17:33.326835 : Epoch  4, Batch    743, Loss  1.458012, Average Loss  1.448322, Time  0.442907
2021-09-24 08:17:38.423145 : Epoch  4, Batch    792, Loss  1.462437, Average Loss  1.448448, Time  0.440608
2021-09-24 08:17:39.276334 : Epoch  4, Batch    744, Loss  1.443663, Average Loss  1.448298, Time  0.461991
2021-09-24 08:17:44.451070 : Epoch  4, Batch    793, Loss  1.453706, Average Loss  1.448484, Time  0.448062
2021-09-24 08:17:45.210121 : Epoch  4, Batch    745, Loss  1.447801, Average Loss  1.448299, Time  0.450068
2021-09-24 08:17:50.456675 : Epoch  4, Batch    794, Loss  1.457124, Average Loss  1.448561, Time  0.439783
2021-09-24 08:17:51.158380 : Epoch  4, Batch    746, Loss  1.447877, Average Loss  1.448265, Time  0.443749
2021-09-24 08:17:56.457846 : Epoch  4, Batch    795, Loss  1.465071, Average Loss  1.448647, Time  0.439358
2021-09-24 08:17:57.106877 : Epoch  4, Batch    747, Loss  1.438502, Average Loss  1.448155, Time  0.443465
2021-09-24 08:18:02.469780 : Epoch  4, Batch    796, Loss  1.443694, Average Loss  1.448591, Time  0.438098
2021-09-24 08:18:03.047465 : Epoch  4, Batch    748, Loss  1.449999, Average Loss  1.448155, Time  0.443379
2021-09-24 08:18:08.482685 : Epoch  4, Batch    797, Loss  1.447852, Average Loss  1.448650, Time  0.438172
2021-09-24 08:18:08.989795 : Epoch  4, Batch    749, Loss  1.460811, Average Loss  1.448231, Time  0.447374
2021-09-24 08:18:14.504890 : Epoch  4, Batch    798, Loss  1.449749, Average Loss  1.448640, Time  0.447525
2021-09-24 08:18:14.908249 : Epoch  4, Batch    750, Loss  1.433560, Average Loss  1.448108, Time  0.444267
2021-09-24 08:18:20.516215 : Epoch  4, Batch    799, Loss  1.443439, Average Loss  1.448599, Time  0.441918
2021-09-24 08:18:20.862001 : Epoch  4, Batch    751, Loss  1.451678, Average Loss  1.448128, Time  0.449195
2021-09-24 08:18:26.542977 : Epoch  4, Batch    800, Loss  1.455497, Average Loss  1.448671, Time  0.450887
2021-09-24 08:18:26.809668 : Epoch  4, Batch    752, Loss  1.439318, Average Loss  1.448073, Time  0.459033
2021-09-24 08:18:32.558862 : Epoch  4, Batch    801, Loss  1.455541, Average Loss  1.448682, Time  0.443701
2021-09-24 08:18:32.756096 : Epoch  4, Batch    753, Loss  1.439404, Average Loss  1.448007, Time  0.446662
2021-09-24 08:18:38.576629 : Epoch  4, Batch    802, Loss  1.459205, Average Loss  1.448759, Time  0.439224
2021-09-24 08:18:38.689247 : Epoch  4, Batch    754, Loss  1.446818, Average Loss  1.448056, Time  0.448093
2021-09-24 08:18:44.611471 : Epoch  4, Batch    803, Loss  1.445839, Average Loss  1.448788, Time  0.440839
2021-09-24 08:18:44.655159 : Epoch  4, Batch    755, Loss  1.442924, Average Loss  1.448034, Time  0.443195
2021-09-24 08:18:50.595938 : Epoch  4, Batch    756, Loss  1.446018, Average Loss  1.447955, Time  0.445797
2021-09-24 08:18:50.637115 : Epoch  4, Batch    804, Loss  1.443351, Average Loss  1.448734, Time  0.438770
2021-09-24 08:18:56.527303 : Epoch  4, Batch    757, Loss  1.445985, Average Loss  1.448004, Time  0.443659
2021-09-24 08:18:56.649260 : Epoch  4, Batch    805, Loss  1.450220, Average Loss  1.448753, Time  0.438941
2021-09-24 08:19:02.467214 : Epoch  4, Batch    758, Loss  1.448949, Average Loss  1.448058, Time  0.443666
2021-09-24 08:19:02.640165 : Epoch  4, Batch    806, Loss  1.441458, Average Loss  1.448704, Time  0.438925
2021-09-24 08:19:08.397780 : Epoch  4, Batch    759, Loss  1.455968, Average Loss  1.448084, Time  0.450455
2021-09-24 08:19:08.648047 : Epoch  4, Batch    807, Loss  1.457711, Average Loss  1.448737, Time  0.443676
2021-09-24 08:19:14.354463 : Epoch  4, Batch    760, Loss  1.452229, Average Loss  1.448075, Time  0.459601
2021-09-24 08:19:14.661552 : Epoch  4, Batch    808, Loss  1.440956, Average Loss  1.448747, Time  0.450402
2021-09-24 08:19:20.284189 : Epoch  4, Batch    761, Loss  1.455006, Average Loss  1.447973, Time  0.443839
2021-09-24 08:19:20.660679 : Epoch  4, Batch    809, Loss  1.451300, Average Loss  1.448715, Time  0.439637
2021-09-24 08:19:26.209853 : Epoch  4, Batch    762, Loss  1.443988, Average Loss  1.447981, Time  0.448303
2021-09-24 08:19:26.655379 : Epoch  4, Batch    810, Loss  1.435304, Average Loss  1.448681, Time  0.439035
2021-09-24 08:19:32.141728 : Epoch  4, Batch    763, Loss  1.442157, Average Loss  1.447931, Time  0.443854
2021-09-24 08:19:32.664950 : Epoch  4, Batch    811, Loss  1.445724, Average Loss  1.448702, Time  0.442355
2021-09-24 08:19:38.086795 : Epoch  4, Batch    764, Loss  1.445014, Average Loss  1.447947, Time  0.445517
2021-09-24 08:19:38.674609 : Epoch  4, Batch    812, Loss  1.450783, Average Loss  1.448741, Time  0.439600
2021-09-24 08:19:44.034660 : Epoch  4, Batch    765, Loss  1.457560, Average Loss  1.448041, Time  0.444034
2021-09-24 08:19:44.696599 : Epoch  4, Batch    813, Loss  1.442658, Average Loss  1.448680, Time  0.440248
2021-09-24 08:19:49.978138 : Epoch  4, Batch    766, Loss  1.455539, Average Loss  1.448143, Time  0.443183
2021-09-24 08:19:50.716367 : Epoch  4, Batch    814, Loss  1.455786, Average Loss  1.448716, Time  0.441648
2021-09-24 08:19:55.917609 : Epoch  4, Batch    767, Loss  1.457574, Average Loss  1.448096, Time  0.446717
2021-09-24 08:19:56.756794 : Epoch  4, Batch    815, Loss  1.462808, Average Loss  1.448798, Time  0.454950
2021-09-24 08:20:01.874167 : Epoch  4, Batch    768, Loss  1.452392, Average Loss  1.448115, Time  0.456557
2021-09-24 08:20:02.781797 : Epoch  4, Batch    816, Loss  1.449264, Average Loss  1.448797, Time  0.440353
2021-09-24 08:20:07.847856 : Epoch  4, Batch    769, Loss  1.450291, Average Loss  1.448131, Time  0.446661
2021-09-24 08:20:13.795564 : Epoch  4, Batch    770, Loss  1.448316, Average Loss  1.448066, Time  0.445869
2021-09-24 08:20:19.732823 : Epoch  4, Batch    771, Loss  1.447347, Average Loss  1.448026, Time  0.448949
2021-09-24 08:20:25.687389 : Epoch  4, Batch    772, Loss  1.440767, Average Loss  1.447977, Time  0.453816
2021-09-24 08:20:31.624463 : Epoch  4, Batch    773, Loss  1.456041, Average Loss  1.448057, Time  0.445651
2021-09-24 08:20:37.556757 : Epoch  4, Batch    774, Loss  1.460062, Average Loss  1.448149, Time  0.444049
2021-09-24 08:20:43.486845 : Epoch  4, Batch    775, Loss  1.457797, Average Loss  1.448159, Time  0.443673
2021-09-24 08:20:49.460021 : Epoch  4, Batch    776, Loss  1.456517, Average Loss  1.448186, Time  0.459186
2021-09-24 08:20:55.386784 : Epoch  4, Batch    777, Loss  1.440039, Average Loss  1.448199, Time  0.444871
2021-09-24 08:21:01.330360 : Epoch  4, Batch    778, Loss  1.455963, Average Loss  1.448242, Time  0.444772
2021-09-24 08:21:07.276860 : Epoch  4, Batch    779, Loss  1.445720, Average Loss  1.448201, Time  0.443324
2021-09-24 08:21:13.225950 : Epoch  4, Batch    780, Loss  1.442810, Average Loss  1.448245, Time  0.451455
2021-09-24 08:21:19.158867 : Epoch  4, Batch    781, Loss  1.438935, Average Loss  1.448219, Time  0.446802
2021-09-24 08:21:25.108710 : Epoch  4, Batch    782, Loss  1.454635, Average Loss  1.448223, Time  0.446353
2021-09-24 08:21:31.042802 : Epoch  4, Batch    783, Loss  1.443665, Average Loss  1.448209, Time  0.445615
2021-09-24 08:21:37.010466 : Epoch  4, Batch    784, Loss  1.448024, Average Loss  1.448155, Time  0.462429
2021-09-24 08:21:42.942834 : Epoch  4, Batch    785, Loss  1.437638, Average Loss  1.448133, Time  0.443052
2021-09-24 08:21:48.873016 : Epoch  4, Batch    786, Loss  1.445062, Average Loss  1.448114, Time  0.444257
2021-09-24 08:21:54.821812 : Epoch  4, Batch    787, Loss  1.458697, Average Loss  1.448185, Time  0.452215
2021-09-24 08:22:00.760311 : Epoch  4, Batch    788, Loss  1.465879, Average Loss  1.448245, Time  0.444438
2021-09-24 08:22:06.712044 : Epoch  4, Batch    789, Loss  1.457384, Average Loss  1.448289, Time  0.446335
2021-09-24 08:22:12.638717 : Epoch  4, Batch    790, Loss  1.445256, Average Loss  1.448258, Time  0.443955
2021-09-24 08:22:18.594906 : Epoch  4, Batch    791, Loss  1.449929, Average Loss  1.448264, Time  0.455298
2021-09-24 08:22:24.533797 : Epoch  4, Batch    792, Loss  1.429574, Average Loss  1.448110, Time  0.443643
2021-09-24 08:22:30.474504 : Epoch  4, Batch    793, Loss  1.445815, Average Loss  1.448095, Time  0.446796
2021-09-24 08:22:36.423828 : Epoch  4, Batch    794, Loss  1.464308, Average Loss  1.448258, Time  0.445703
2021-09-24 08:22:42.370525 : Epoch  4, Batch    795, Loss  1.467974, Average Loss  1.448375, Time  0.442997
2021-09-24 08:22:48.303077 : Epoch  4, Batch    796, Loss  1.446835, Average Loss  1.448445, Time  0.443758
2021-09-24 08:22:54.247235 : Epoch  4, Batch    797, Loss  1.454242, Average Loss  1.448453, Time  0.443706
2021-09-24 08:23:00.189323 : Epoch  4, Batch    798, Loss  1.449961, Average Loss  1.448506, Time  0.443996
2021-09-24 08:23:06.149607 : Epoch  4, Batch    799, Loss  1.441948, Average Loss  1.448479, Time  0.459217
2021-09-24 08:23:12.093031 : Epoch  4, Batch    800, Loss  1.446560, Average Loss  1.448518, Time  0.445472
2021-09-24 08:23:18.048210 : Epoch  4, Batch    801, Loss  1.447364, Average Loss  1.448456, Time  0.444857
2021-09-24 08:23:23.987444 : Epoch  4, Batch    802, Loss  1.438686, Average Loss  1.448420, Time  0.443788
2021-09-24 08:23:29.931759 : Epoch  4, Batch    803, Loss  1.436770, Average Loss  1.448309, Time  0.449284
2021-09-24 08:23:35.890318 : Epoch  4, Batch    804, Loss  1.453431, Average Loss  1.448343, Time  0.447954
2021-09-24 08:23:41.832194 : Epoch  4, Batch    805, Loss  1.447447, Average Loss  1.448368, Time  0.447032
2021-09-24 08:23:47.771830 : Epoch  4, Batch    806, Loss  1.440669, Average Loss  1.448313, Time  0.444889
2021-09-24 08:23:53.710011 : Epoch  4, Batch    807, Loss  1.450054, Average Loss  1.448351, Time  0.453819
2021-09-24 08:23:59.655184 : Epoch  4, Batch    808, Loss  1.461641, Average Loss  1.448411, Time  0.444859
2021-09-24 08:24:05.581190 : Epoch  4, Batch    809, Loss  1.445622, Average Loss  1.448393, Time  0.444541
2021-09-24 08:24:11.521370 : Epoch  4, Batch    810, Loss  1.453948, Average Loss  1.448423, Time  0.447436
2021-09-24 08:24:17.448854 : Epoch  4, Batch    811, Loss  1.432313, Average Loss  1.448352, Time  0.443608
2021-09-24 08:24:23.378101 : Epoch  4, Batch    812, Loss  1.459215, Average Loss  1.448427, Time  0.444983
2021-09-24 08:24:29.306557 : Epoch  4, Batch    813, Loss  1.452639, Average Loss  1.448473, Time  0.442521
2021-09-24 08:24:35.253822 : Epoch  4, Batch    814, Loss  1.461417, Average Loss  1.448544, Time  0.443111
2021-09-24 08:24:39.850734 : CheckPoint: Validation Loss  0.00025299, Best Loss  0.00024726
2021-09-24 08:24:41.196103 : Epoch  4, Batch    815, Loss  1.448209, Average Loss  1.448575, Time  0.451368
2021-09-24 08:24:45.805886 : Epoch  4, Batch    817, Loss  1.450228, Average Loss  1.448732, Time  0.440494
2021-09-24 08:24:47.132684 : Epoch  4, Batch    816, Loss  1.456388, Average Loss  1.448635, Time  0.443237
2021-09-24 08:24:51.816883 : Epoch  4, Batch    818, Loss  1.441225, Average Loss  1.448642, Time  0.442642
2021-09-24 08:24:57.797701 : Epoch  4, Batch    819, Loss  1.439454, Average Loss  1.448608, Time  0.442303
2021-09-24 08:25:03.785961 : Epoch  4, Batch    820, Loss  1.453510, Average Loss  1.448607, Time  0.440596
2021-09-24 08:25:09.786163 : Epoch  4, Batch    821, Loss  1.456399, Average Loss  1.448636, Time  0.445420
2021-09-24 08:25:15.770285 : Epoch  4, Batch    822, Loss  1.448871, Average Loss  1.448665, Time  0.439017
2021-09-24 08:25:21.765838 : Epoch  4, Batch    823, Loss  1.462637, Average Loss  1.448725, Time  0.453135
2021-09-24 08:25:27.758823 : Epoch  4, Batch    824, Loss  1.430615, Average Loss  1.448626, Time  0.439538
2021-09-24 08:25:33.777898 : Epoch  4, Batch    825, Loss  1.428576, Average Loss  1.448505, Time  0.438913
2021-09-24 08:25:39.792143 : Epoch  4, Batch    826, Loss  1.451774, Average Loss  1.448538, Time  0.439735
2021-09-24 08:25:45.783753 : Epoch  4, Batch    827, Loss  1.447582, Average Loss  1.448517, Time  0.439023
2021-09-24 08:25:51.775668 : Epoch  4, Batch    828, Loss  1.445665, Average Loss  1.448502, Time  0.443329
2021-09-24 08:25:57.756386 : Epoch  4, Batch    829, Loss  1.443671, Average Loss  1.448443, Time  0.438989
2021-09-24 08:26:03.748338 : Epoch  4, Batch    830, Loss  1.441951, Average Loss  1.448387, Time  0.442256
2021-09-24 08:26:09.749655 : Epoch  4, Batch    831, Loss  1.429116, Average Loss  1.448247, Time  0.456289
2021-09-24 08:26:15.738570 : Epoch  4, Batch    832, Loss  1.459275, Average Loss  1.448347, Time  0.438673
2021-09-24 08:26:21.730800 : Epoch  4, Batch    833, Loss  1.438961, Average Loss  1.448268, Time  0.442768
2021-09-24 08:26:27.709464 : Epoch  4, Batch    834, Loss  1.457226, Average Loss  1.448312, Time  0.444350
2021-09-24 08:26:33.696639 : Epoch  4, Batch    835, Loss  1.453164, Average Loss  1.448307, Time  0.440932
2021-09-24 08:26:39.682806 : Epoch  4, Batch    836, Loss  1.448195, Average Loss  1.448302, Time  0.440212
2021-09-24 08:26:45.667131 : Epoch  4, Batch    837, Loss  1.435621, Average Loss  1.448227, Time  0.439188
2021-09-24 08:26:51.649149 : Epoch  4, Batch    838, Loss  1.455362, Average Loss  1.448278, Time  0.439029
2021-09-24 08:26:57.649807 : Epoch  4, Batch    839, Loss  1.451841, Average Loss  1.448329, Time  0.455740
2021-09-24 08:27:03.631802 : Epoch  4, Batch    840, Loss  1.442829, Average Loss  1.448295, Time  0.438862
2021-09-24 08:27:09.628327 : Epoch  4, Batch    841, Loss  1.448423, Average Loss  1.448309, Time  0.439167
2021-09-24 08:27:15.616188 : Epoch  4, Batch    842, Loss  1.438436, Average Loss  1.448179, Time  0.439545
2021-09-24 08:27:21.612314 : Epoch  4, Batch    843, Loss  1.459127, Average Loss  1.448227, Time  0.444947
2021-09-24 08:27:27.586622 : Epoch  4, Batch    844, Loss  1.442883, Average Loss  1.448209, Time  0.439093
2021-09-24 08:27:33.568252 : Epoch  4, Batch    845, Loss  1.448635, Average Loss  1.448223, Time  0.441299
2021-09-24 08:27:39.558560 : Epoch  4, Batch    846, Loss  1.438093, Average Loss  1.448130, Time  0.448807
2021-09-24 08:27:45.548715 : Epoch  4, Batch    847, Loss  1.458864, Average Loss  1.448169, Time  0.443080
2021-09-24 08:27:51.558684 : Epoch  4, Batch    848, Loss  1.446767, Average Loss  1.448135, Time  0.442689
2021-09-24 08:27:57.556833 : Epoch  4, Batch    849, Loss  1.446247, Average Loss  1.448136, Time  0.439694
2021-09-24 08:28:03.547819 : Epoch  4, Batch    850, Loss  1.442730, Average Loss  1.448137, Time  0.440497
2021-09-24 08:28:09.534236 : Epoch  4, Batch    851, Loss  1.443795, Average Loss  1.448057, Time  0.441440
2021-09-24 08:28:15.515722 : Epoch  4, Batch    852, Loss  1.440870, Average Loss  1.447962, Time  0.438850
2021-09-24 08:28:21.516132 : Epoch  4, Batch    853, Loss  1.455173, Average Loss  1.448030, Time  0.441146
2021-09-24 08:28:27.511744 : Epoch  4, Batch    854, Loss  1.443949, Average Loss  1.447973, Time  0.448474
2021-09-24 08:28:33.504566 : Epoch  4, Batch    855, Loss  1.452840, Average Loss  1.448010, Time  0.441230
2021-09-24 08:28:39.489293 : Epoch  4, Batch    856, Loss  1.450786, Average Loss  1.448015, Time  0.438586
2021-09-24 08:28:45.465316 : Epoch  4, Batch    857, Loss  1.444171, Average Loss  1.448026, Time  0.438969
2021-09-24 08:28:51.472762 : Epoch  4, Batch    858, Loss  1.434219, Average Loss  1.447969, Time  0.439056
2021-09-24 08:28:57.460826 : Epoch  4, Batch    859, Loss  1.439852, Average Loss  1.447914, Time  0.441016
2021-09-24 08:29:03.466319 : Epoch  4, Batch    860, Loss  1.436741, Average Loss  1.447894, Time  0.444471
2021-09-24 08:29:09.465674 : Epoch  4, Batch    861, Loss  1.438645, Average Loss  1.447842, Time  0.450238
2021-09-24 08:29:15.454887 : Epoch  4, Batch    862, Loss  1.462575, Average Loss  1.447949, Time  0.440820
2021-09-24 08:29:21.444230 : Epoch  4, Batch    863, Loss  1.445079, Average Loss  1.447959, Time  0.440990
2021-09-24 08:29:25.146533 : CheckPoint: Validation Loss  0.00024907, Best Loss  0.00024587
2021-09-24 08:29:27.440836 : Epoch  4, Batch    864, Loss  1.452189, Average Loss  1.448062, Time  0.438966
2021-09-24 08:29:31.102811 : Epoch  4, Batch    817, Loss  1.448285, Average Loss  1.448599, Time  0.443528
2021-09-24 08:29:33.426697 : Epoch  4, Batch    865, Loss  1.454076, Average Loss  1.448136, Time  0.441634
2021-09-24 08:29:37.056926 : Epoch  4, Batch    818, Loss  1.433653, Average Loss  1.448539, Time  0.443217
2021-09-24 08:29:39.423902 : Epoch  4, Batch    866, Loss  1.442309, Average Loss  1.448137, Time  0.439613
2021-09-24 08:29:42.993546 : Epoch  4, Batch    819, Loss  1.435797, Average Loss  1.448467, Time  0.443470
2021-09-24 08:29:45.426169 : Epoch  4, Batch    867, Loss  1.450396, Average Loss  1.448141, Time  0.439382
2021-09-24 08:29:48.936512 : Epoch  4, Batch    820, Loss  1.457870, Average Loss  1.448527, Time  0.443908
2021-09-24 08:29:51.428317 : Epoch  4, Batch    868, Loss  1.457260, Average Loss  1.448217, Time  0.446575
2021-09-24 08:29:54.891678 : Epoch  4, Batch    821, Loss  1.457287, Average Loss  1.448528, Time  0.445059
2021-09-24 08:29:57.441043 : Epoch  4, Batch    869, Loss  1.454820, Average Loss  1.448250, Time  0.448884
2021-09-24 08:30:00.851277 : Epoch  4, Batch    822, Loss  1.453795, Average Loss  1.448601, Time  0.458364
2021-09-24 08:30:03.428796 : Epoch  4, Batch    870, Loss  1.446419, Average Loss  1.448259, Time  0.443859
2021-09-24 08:30:06.787894 : Epoch  4, Batch    823, Loss  1.445413, Average Loss  1.448566, Time  0.447120
2021-09-24 08:30:09.411579 : Epoch  4, Batch    871, Loss  1.448382, Average Loss  1.448222, Time  0.438748
2021-09-24 08:30:12.730768 : Epoch  4, Batch    824, Loss  1.442714, Average Loss  1.448531, Time  0.442917
2021-09-24 08:30:15.396218 : Epoch  4, Batch    872, Loss  1.440972, Average Loss  1.448202, Time  0.441351
2021-09-24 08:30:18.667572 : Epoch  4, Batch    825, Loss  1.460673, Average Loss  1.448602, Time  0.443252
2021-09-24 08:30:21.382981 : Epoch  4, Batch    873, Loss  1.447908, Average Loss  1.448196, Time  0.440811
2021-09-24 08:30:24.611164 : Epoch  4, Batch    826, Loss  1.454959, Average Loss  1.448666, Time  0.447193
2021-09-24 08:30:27.376097 : Epoch  4, Batch    874, Loss  1.454956, Average Loss  1.448297, Time  0.440297
2021-09-24 08:30:30.537045 : Epoch  4, Batch    827, Loss  1.447582, Average Loss  1.448642, Time  0.450833
2021-09-24 08:30:33.372574 : Epoch  4, Batch    875, Loss  1.456768, Average Loss  1.448340, Time  0.439903
2021-09-24 08:30:36.472434 : Epoch  4, Batch    828, Loss  1.438285, Average Loss  1.448582, Time  0.444520
2021-09-24 08:30:39.280946 : Epoch  4, Batch    876, Loss  1.456997, Average Loss  1.448393, Time  0.452719
2021-09-24 08:30:42.154969 : Epoch  4, Batch    829, Loss  1.451914, Average Loss  1.448694, Time  0.442464
2021-09-24 08:30:44.926084 : Epoch  4, Batch    877, Loss  1.440800, Average Loss  1.448393, Time  0.437269
2021-09-24 08:30:47.839532 : Epoch  4, Batch    830, Loss  1.455326, Average Loss  1.448750, Time  0.450233
2021-09-24 08:30:50.642505 : Epoch  4, Batch    878, Loss  1.449280, Average Loss  1.448410, Time  0.438600
2021-09-24 08:30:53.483332 : Epoch  4, Batch    831, Loss  1.442011, Average Loss  1.448633, Time  0.442282
2021-09-24 08:30:56.380842 : Epoch  4, Batch    879, Loss  1.439643, Average Loss  1.448336, Time  0.439240
2021-09-24 08:30:59.274414 : Epoch  4, Batch    832, Loss  1.434828, Average Loss  1.448593, Time  0.443862
2021-09-24 08:31:02.213914 : Epoch  4, Batch    880, Loss  1.450547, Average Loss  1.448286, Time  0.438937
2021-09-24 08:31:04.976448 : Epoch  4, Batch    833, Loss  1.449760, Average Loss  1.448598, Time  0.440990
2021-09-24 08:31:07.855468 : Epoch  4, Batch    881, Loss  1.449461, Average Loss  1.448276, Time  0.437674
2021-09-24 08:31:10.583807 : Epoch  4, Batch    834, Loss  1.450145, Average Loss  1.448584, Time  0.440909
2021-09-24 08:31:13.514677 : Epoch  4, Batch    882, Loss  1.450622, Average Loss  1.448375, Time  0.437371
2021-09-24 08:31:16.180083 : Epoch  4, Batch    835, Loss  1.448404, Average Loss  1.448536, Time  0.441871
2021-09-24 08:31:19.157018 : Epoch  4, Batch    883, Loss  1.445372, Average Loss  1.448356, Time  0.436758
2021-09-24 08:31:21.762712 : Epoch  4, Batch    836, Loss  1.461469, Average Loss  1.448592, Time  0.441241
2021-09-24 08:31:24.791885 : Epoch  4, Batch    884, Loss  1.438970, Average Loss  1.448329, Time  0.437848
2021-09-24 08:31:27.363725 : Epoch  4, Batch    837, Loss  1.452035, Average Loss  1.448692, Time  0.442030
2021-09-24 08:31:30.477679 : Epoch  4, Batch    885, Loss  1.432365, Average Loss  1.448329, Time  0.448721
2021-09-24 08:31:33.004360 : Epoch  4, Batch    838, Loss  1.438677, Average Loss  1.448555, Time  0.457803
2021-09-24 08:31:36.118837 : Epoch  4, Batch    886, Loss  1.446380, Average Loss  1.448290, Time  0.436499
2021-09-24 08:31:38.605394 : Epoch  4, Batch    839, Loss  1.450636, Average Loss  1.448607, Time  0.442522
2021-09-24 08:31:41.813615 : Epoch  4, Batch    887, Loss  1.449809, Average Loss  1.448320, Time  0.438435
2021-09-24 08:31:44.273390 : Epoch  4, Batch    840, Loss  1.452806, Average Loss  1.448619, Time  0.441221
2021-09-24 08:31:47.510237 : Epoch  4, Batch    888, Loss  1.438965, Average Loss  1.448306, Time  0.438342
2021-09-24 08:31:49.889796 : Epoch  4, Batch    841, Loss  1.443437, Average Loss  1.448614, Time  0.441199
2021-09-24 08:31:53.158528 : Epoch  4, Batch    889, Loss  1.448945, Average Loss  1.448317, Time  0.436935
2021-09-24 08:31:55.522846 : Epoch  4, Batch    842, Loss  1.443916, Average Loss  1.448578, Time  0.442097
2021-09-24 08:31:58.850053 : Epoch  4, Batch    890, Loss  1.452346, Average Loss  1.448331, Time  0.438684
2021-09-24 08:32:01.175938 : Epoch  4, Batch    843, Loss  1.445379, Average Loss  1.448544, Time  0.443481
2021-09-24 08:32:04.566576 : Epoch  4, Batch    891, Loss  1.448784, Average Loss  1.448352, Time  0.437520
2021-09-24 08:32:06.834872 : Epoch  4, Batch    844, Loss  1.453436, Average Loss  1.448562, Time  0.443493
2021-09-24 08:32:10.283343 : Epoch  4, Batch    892, Loss  1.452855, Average Loss  1.448372, Time  0.437699
2021-09-24 08:32:12.556500 : Epoch  4, Batch    845, Loss  1.437475, Average Loss  1.448525, Time  0.444928
2021-09-24 08:32:16.054895 : Epoch  4, Batch    893, Loss  1.447503, Average Loss  1.448422, Time  0.451020
2021-09-24 08:32:18.192373 : Epoch  4, Batch    846, Loss  1.464469, Average Loss  1.448594, Time  0.456397
2021-09-24 08:32:21.715613 : Epoch  4, Batch    894, Loss  1.445716, Average Loss  1.448435, Time  0.437036
2021-09-24 08:32:23.790505 : Epoch  4, Batch    847, Loss  1.456468, Average Loss  1.448640, Time  0.443726
2021-09-24 08:32:27.423274 : Epoch  4, Batch    895, Loss  1.459988, Average Loss  1.448454, Time  0.438553
2021-09-24 08:32:29.448244 : Epoch  4, Batch    848, Loss  1.447045, Average Loss  1.448617, Time  0.443189
2021-09-24 08:32:33.103607 : Epoch  4, Batch    896, Loss  1.453635, Average Loss  1.448479, Time  0.436470
2021-09-24 08:32:35.058928 : Epoch  4, Batch    849, Loss  1.442945, Average Loss  1.448554, Time  0.442380
2021-09-24 08:32:38.781088 : Epoch  4, Batch    897, Loss  1.443121, Average Loss  1.448460, Time  0.436999
2021-09-24 08:32:40.683169 : Epoch  4, Batch    850, Loss  1.453633, Average Loss  1.448598, Time  0.440728
2021-09-24 08:32:44.463398 : Epoch  4, Batch    898, Loss  1.459656, Average Loss  1.448558, Time  0.437294
2021-09-24 08:32:46.292016 : Epoch  4, Batch    851, Loss  1.449335, Average Loss  1.448585, Time  0.441010
2021-09-24 08:32:50.100376 : Epoch  4, Batch    899, Loss  1.459118, Average Loss  1.448644, Time  0.436207
2021-09-24 08:32:51.870093 : Epoch  4, Batch    852, Loss  1.430478, Average Loss  1.448519, Time  0.441034
2021-09-24 08:32:55.726231 : Epoch  4, Batch    900, Loss  1.440013, Average Loss  1.448621, Time  0.436757
2021-09-24 08:32:57.464837 : Epoch  4, Batch    853, Loss  1.448031, Average Loss  1.448558, Time  0.440622
2021-09-24 08:33:01.383639 : Epoch  4, Batch    901, Loss  1.450128, Average Loss  1.448605, Time  0.448207
2021-09-24 08:33:03.065740 : Epoch  4, Batch    854, Loss  1.448833, Average Loss  1.448546, Time  0.447374
2021-09-24 08:33:07.033095 : Epoch  4, Batch    902, Loss  1.441937, Average Loss  1.448603, Time  0.437474
2021-09-24 08:33:08.675951 : Epoch  4, Batch    855, Loss  1.438249, Average Loss  1.448570, Time  0.441863
2021-09-24 08:33:12.694610 : Epoch  4, Batch    903, Loss  1.445352, Average Loss  1.448607, Time  0.437432
2021-09-24 08:33:14.306530 : Epoch  4, Batch    856, Loss  1.461782, Average Loss  1.448607, Time  0.440896
2021-09-24 08:33:18.378986 : Epoch  4, Batch    904, Loss  1.449190, Average Loss  1.448588, Time  0.437363
2021-09-24 08:33:19.956469 : Epoch  4, Batch    857, Loss  1.442831, Average Loss  1.448506, Time  0.441545
2021-09-24 08:33:24.002286 : Epoch  4, Batch    905, Loss  1.450224, Average Loss  1.448644, Time  0.437548
2021-09-24 08:33:25.555945 : Epoch  4, Batch    858, Loss  1.458303, Average Loss  1.448586, Time  0.444009
2021-09-24 08:33:29.695910 : Epoch  4, Batch    906, Loss  1.454300, Average Loss  1.448713, Time  0.439576
2021-09-24 08:33:31.212604 : Epoch  4, Batch    859, Loss  1.460691, Average Loss  1.448693, Time  0.442442
2021-09-24 08:33:35.402854 : Epoch  4, Batch    907, Loss  1.442488, Average Loss  1.448744, Time  0.437540
2021-09-24 08:33:36.860938 : Epoch  4, Batch    860, Loss  1.446093, Average Loss  1.448705, Time  0.441430
2021-09-24 08:33:41.088635 : Epoch  4, Batch    908, Loss  1.449805, Average Loss  1.448703, Time  0.438931
2021-09-24 08:33:42.564669 : Epoch  4, Batch    861, Loss  1.433857, Average Loss  1.448548, Time  0.444281
2021-09-24 08:33:46.863175 : Epoch  4, Batch    909, Loss  1.463952, Average Loss  1.448731, Time  0.447300
2021-09-24 08:33:48.246259 : Epoch  4, Batch    862, Loss  1.438886, Average Loss  1.448469, Time  0.455635
2021-09-24 08:33:52.597542 : Epoch  4, Batch    910, Loss  1.452423, Average Loss  1.448720, Time  0.437274
2021-09-24 08:33:53.943947 : Epoch  4, Batch    863, Loss  1.439720, Average Loss  1.448402, Time  0.441721
2021-09-24 08:33:58.255593 : Epoch  4, Batch    911, Loss  1.442353, Average Loss  1.448685, Time  0.437343
2021-09-24 08:33:59.540815 : Epoch  4, Batch    864, Loss  1.444566, Average Loss  1.448394, Time  0.441026
2021-09-24 08:34:03.935658 : Epoch  4, Batch    912, Loss  1.450069, Average Loss  1.448684, Time  0.438083
2021-09-24 08:34:05.175131 : Epoch  4, Batch    865, Loss  1.429757, Average Loss  1.448324, Time  0.442652
2021-09-24 08:34:09.617414 : Epoch  4, Batch    913, Loss  1.455241, Average Loss  1.448713, Time  0.438069
2021-09-24 08:34:10.809936 : Epoch  4, Batch    866, Loss  1.446406, Average Loss  1.448351, Time  0.441839
2021-09-24 08:34:15.304029 : Epoch  4, Batch    914, Loss  1.444190, Average Loss  1.448696, Time  0.436551
2021-09-24 08:34:16.449341 : Epoch  4, Batch    867, Loss  1.456133, Average Loss  1.448385, Time  0.441366
2021-09-24 08:34:20.965457 : Epoch  4, Batch    915, Loss  1.444697, Average Loss  1.448660, Time  0.437619
2021-09-24 08:34:22.065227 : Epoch  4, Batch    868, Loss  1.444823, Average Loss  1.448395, Time  0.442801
2021-09-24 08:34:26.649832 : Epoch  4, Batch    916, Loss  1.426406, Average Loss  1.448517, Time  0.437213
2021-09-24 08:34:27.681107 : Epoch  4, Batch    869, Loss  1.456827, Average Loss  1.448486, Time  0.444108
2021-09-24 08:34:33.363974 : Epoch  4, Batch    870, Loss  1.445919, Average Loss  1.448526, Time  0.455658
2021-09-24 08:34:39.063909 : Epoch  4, Batch    871, Loss  1.438843, Average Loss  1.448480, Time  0.442207
2021-09-24 08:34:44.766451 : Epoch  4, Batch    872, Loss  1.456766, Average Loss  1.448534, Time  0.442594
2021-09-24 08:34:50.395124 : Epoch  4, Batch    873, Loss  1.437085, Average Loss  1.448441, Time  0.441382
2021-09-24 08:34:56.090852 : Epoch  4, Batch    874, Loss  1.453287, Average Loss  1.448492, Time  0.444326
2021-09-24 08:35:01.770151 : Epoch  4, Batch    875, Loss  1.445342, Average Loss  1.448519, Time  0.441948
2021-09-24 08:35:07.400723 : Epoch  4, Batch    876, Loss  1.447346, Average Loss  1.448495, Time  0.441424
2021-09-24 08:35:13.051132 : Epoch  4, Batch    877, Loss  1.448836, Average Loss  1.448478, Time  0.442086
2021-09-24 08:35:18.697831 : Epoch  4, Batch    878, Loss  1.436157, Average Loss  1.448424, Time  0.454955
2021-09-24 08:35:24.349653 : Epoch  4, Batch    879, Loss  1.450389, Average Loss  1.448415, Time  0.442606
2021-09-24 08:35:30.147522 : Epoch  4, Batch    880, Loss  1.450973, Average Loss  1.448449, Time  0.443952
2021-09-24 08:35:35.868478 : Epoch  4, Batch    881, Loss  1.449612, Average Loss  1.448432, Time  0.442514
2021-09-24 08:35:41.569302 : Epoch  4, Batch    882, Loss  1.450717, Average Loss  1.448387, Time  0.442280
2021-09-24 08:35:47.324858 : Epoch  4, Batch    883, Loss  1.441971, Average Loss  1.448351, Time  0.442240
2021-09-24 08:35:53.029314 : Epoch  4, Batch    884, Loss  1.428582, Average Loss  1.448233, Time  0.442521
2021-09-24 08:35:58.714718 : Epoch  4, Batch    885, Loss  1.451951, Average Loss  1.448280, Time  0.442735
2021-09-24 08:36:04.446247 : Epoch  4, Batch    886, Loss  1.451696, Average Loss  1.448244, Time  0.456518
2021-09-24 08:36:10.152441 : Epoch  4, Batch    887, Loss  1.446108, Average Loss  1.448211, Time  0.444146
2021-09-24 08:36:15.839618 : Epoch  4, Batch    888, Loss  1.438752, Average Loss  1.448154, Time  0.442932
2021-09-24 08:36:21.561139 : Epoch  4, Batch    889, Loss  1.452145, Average Loss  1.448186, Time  0.443047
2021-09-24 08:36:27.255002 : Epoch  4, Batch    890, Loss  1.440967, Average Loss  1.448136, Time  0.442766
2021-09-24 08:36:32.912812 : Epoch  4, Batch    891, Loss  1.439358, Average Loss  1.448151, Time  0.441974
2021-09-24 08:36:38.637462 : Epoch  4, Batch    892, Loss  1.447125, Average Loss  1.448198, Time  0.443454
2021-09-24 08:36:44.363867 : Epoch  4, Batch    893, Loss  1.448033, Average Loss  1.448162, Time  0.441947
2021-09-24 08:36:50.051919 : Epoch  4, Batch    894, Loss  1.435063, Average Loss  1.448061, Time  0.459687
2021-09-24 08:36:55.841182 : Epoch  4, Batch    895, Loss  1.440935, Average Loss  1.448058, Time  0.443170
2021-09-24 08:37:01.588101 : Epoch  4, Batch    896, Loss  1.454451, Average Loss  1.448147, Time  0.444468
2021-09-24 08:37:07.304056 : Epoch  4, Batch    897, Loss  1.442192, Average Loss  1.448127, Time  0.442895
2021-09-24 08:37:12.962441 : Epoch  4, Batch    898, Loss  1.459105, Average Loss  1.448157, Time  0.443500
2021-09-24 08:37:18.691935 : Epoch  4, Batch    899, Loss  1.457134, Average Loss  1.448152, Time  0.442789
2021-09-24 08:37:24.456314 : Epoch  4, Batch    900, Loss  1.448966, Average Loss  1.448116, Time  0.442392
2021-09-24 08:37:30.176396 : Epoch  4, Batch    901, Loss  1.454369, Average Loss  1.448156, Time  0.441222
2021-09-24 08:37:35.906288 : Epoch  4, Batch    902, Loss  1.454201, Average Loss  1.448158, Time  0.454186
2021-09-24 08:37:41.629626 : Epoch  4, Batch    903, Loss  1.448656, Average Loss  1.448132, Time  0.442819
2021-09-24 08:37:47.393794 : Epoch  4, Batch    904, Loss  1.438068, Average Loss  1.448138, Time  0.443037
2021-09-24 08:37:53.172879 : Epoch  4, Batch    905, Loss  1.444448, Average Loss  1.448069, Time  0.445228
2021-09-24 08:37:58.966061 : Epoch  4, Batch    906, Loss  1.464590, Average Loss  1.448158, Time  0.443297
2021-09-24 08:38:04.756307 : Epoch  4, Batch    907, Loss  1.442903, Average Loss  1.448182, Time  0.443695
2021-09-24 08:38:10.420973 : Epoch  4, Batch    908, Loss  1.450973, Average Loss  1.448190, Time  0.443368
2021-09-24 08:38:16.119045 : Epoch  4, Batch    909, Loss  1.437969, Average Loss  1.448134, Time  0.442716
2021-09-24 08:38:21.852677 : Epoch  4, Batch    910, Loss  1.445762, Average Loss  1.448088, Time  0.455135
2021-09-24 08:38:27.491867 : Epoch  4, Batch    911, Loss  1.456136, Average Loss  1.448142, Time  0.442209
2021-09-24 08:38:33.225228 : Epoch  4, Batch    912, Loss  1.444793, Average Loss  1.448111, Time  0.443306
2021-09-24 08:38:38.920152 : Epoch  4, Batch    913, Loss  1.449496, Average Loss  1.448092, Time  0.442561
2021-09-24 08:38:44.609633 : Epoch  4, Batch    914, Loss  1.454024, Average Loss  1.448100, Time  0.442275
2021-09-24 08:38:50.421417 : Epoch  4, Batch    915, Loss  1.435870, Average Loss  1.448020, Time  0.443630
2021-09-24 08:38:53.935488 : CheckPoint: Validation Loss  0.00025365, Best Loss  0.00024726
2021-09-24 08:38:56.127208 : Epoch  4, Batch    916, Loss  1.458029, Average Loss  1.448080, Time  0.442887
2021-09-24 08:38:59.708927 : Epoch  4, Batch    917, Loss  1.441445, Average Loss  1.448527, Time  0.438918
2021-09-24 08:39:05.494781 : Epoch  4, Batch    918, Loss  1.450737, Average Loss  1.448545, Time  0.439334
2021-09-24 08:39:11.370394 : Epoch  4, Batch    919, Loss  1.456893, Average Loss  1.448581, Time  0.452544
2021-09-24 08:39:17.154448 : Epoch  4, Batch    920, Loss  1.451069, Average Loss  1.448597, Time  0.437716
2021-09-24 08:39:22.948181 : Epoch  4, Batch    921, Loss  1.447230, Average Loss  1.448535, Time  0.438542
2021-09-24 08:39:28.778940 : Epoch  4, Batch    922, Loss  1.445056, Average Loss  1.448517, Time  0.438289
2021-09-24 08:39:34.540776 : Epoch  4, Batch    923, Loss  1.463067, Average Loss  1.448541, Time  0.438109
2021-09-24 08:39:40.350232 : Epoch  4, Batch    924, Loss  1.452364, Average Loss  1.448564, Time  0.439201
2021-09-24 08:39:46.187466 : Epoch  4, Batch    925, Loss  1.440885, Average Loss  1.448527, Time  0.437823
2021-09-24 08:39:51.994156 : Epoch  4, Batch    926, Loss  1.467485, Average Loss  1.448615, Time  0.438710
2021-09-24 08:39:57.731890 : Epoch  4, Batch    927, Loss  1.456060, Average Loss  1.448640, Time  0.436026
2021-09-24 08:40:03.542936 : Epoch  4, Batch    928, Loss  1.459116, Average Loss  1.448670, Time  0.451882
2021-09-24 08:40:03.577171 : Saving Model after 4-th Epoch.
2021-09-24 08:40:04.336420 : Epoch Finished.
2021-09-24 08:40:10.008535 : Batch Shuffled
2021-09-24 08:40:15.740150 : Epoch  5, Batch      1, Loss  1.456429, Average Loss  1.448695, Time  0.439836
2021-09-24 08:40:21.544691 : Epoch  5, Batch      2, Loss  1.448695, Average Loss  1.448718, Time  0.438368
2021-09-24 08:40:27.287937 : Epoch  5, Batch      3, Loss  1.443555, Average Loss  1.448676, Time  0.439345
2021-09-24 08:40:33.033347 : Epoch  5, Batch      4, Loss  1.446952, Average Loss  1.448657, Time  0.438077
2021-09-24 08:40:38.789878 : Epoch  5, Batch      5, Loss  1.437701, Average Loss  1.448651, Time  0.438012
2021-09-24 08:40:44.564416 : Epoch  5, Batch      6, Loss  1.436348, Average Loss  1.448577, Time  0.439963
2021-09-24 08:40:50.323802 : Epoch  5, Batch      7, Loss  1.448039, Average Loss  1.448584, Time  0.452879
2021-09-24 08:40:56.127204 : Epoch  5, Batch      8, Loss  1.447620, Average Loss  1.448555, Time  0.440118
2021-09-24 08:41:01.865395 : Epoch  5, Batch      9, Loss  1.444808, Average Loss  1.448593, Time  0.439902
2021-09-24 08:41:07.640879 : Epoch  5, Batch     10, Loss  1.435277, Average Loss  1.448559, Time  0.438716
2021-09-24 08:41:13.357986 : Epoch  5, Batch     11, Loss  1.449030, Average Loss  1.448606, Time  0.438303
2021-09-24 08:41:19.081004 : Epoch  5, Batch     12, Loss  1.454825, Average Loss  1.448601, Time  0.437765
2021-09-24 08:41:24.847619 : Epoch  5, Batch     13, Loss  1.454365, Average Loss  1.448619, Time  0.438174
2021-09-24 08:41:30.608743 : Epoch  5, Batch     14, Loss  1.447659, Average Loss  1.448639, Time  0.437398
2021-09-24 08:41:36.357181 : Epoch  5, Batch     15, Loss  1.428872, Average Loss  1.448547, Time  0.446971
2021-09-24 08:41:42.117579 : Epoch  5, Batch     16, Loss  1.441234, Average Loss  1.448490, Time  0.438709
2021-09-24 08:41:47.874534 : Epoch  5, Batch     17, Loss  1.446795, Average Loss  1.448430, Time  0.438857
2021-09-24 08:41:53.725434 : Epoch  5, Batch     18, Loss  1.452072, Average Loss  1.448428, Time  0.438598
2021-09-24 08:41:59.445470 : Epoch  5, Batch     19, Loss  1.437736, Average Loss  1.448350, Time  0.441081
2021-09-24 08:42:05.149624 : Epoch  5, Batch     20, Loss  1.453535, Average Loss  1.448347, Time  0.437341
2021-09-24 08:42:10.868182 : Epoch  5, Batch     21, Loss  1.453501, Average Loss  1.448364, Time  0.437303
2021-09-24 08:42:16.695493 : Epoch  5, Batch     22, Loss  1.434661, Average Loss  1.448289, Time  0.438068
2021-09-24 08:42:22.439738 : Epoch  5, Batch     23, Loss  1.450177, Average Loss  1.448342, Time  0.449474
2021-09-24 08:42:28.128021 : Epoch  5, Batch     24, Loss  1.454088, Average Loss  1.448347, Time  0.437627
2021-09-24 08:42:33.894091 : Epoch  5, Batch     25, Loss  1.445349, Average Loss  1.448386, Time  0.438573
2021-09-24 08:42:39.623740 : Epoch  5, Batch     26, Loss  1.452334, Average Loss  1.448387, Time  0.439319
2021-09-24 08:42:45.403330 : Epoch  5, Batch     27, Loss  1.447149, Average Loss  1.448278, Time  0.438320
2021-09-24 08:42:51.096955 : Epoch  5, Batch     28, Loss  1.442947, Average Loss  1.448232, Time  0.437695
2021-09-24 08:42:56.777535 : Epoch  5, Batch     29, Loss  1.453611, Average Loss  1.448265, Time  0.437943
2021-09-24 08:43:02.527239 : Epoch  5, Batch     30, Loss  1.451590, Average Loss  1.448250, Time  0.437494
2021-09-24 08:43:08.253931 : Epoch  5, Batch     31, Loss  1.447318, Average Loss  1.448237, Time  0.448184
2021-09-24 08:43:13.955861 : Epoch  5, Batch     32, Loss  1.423369, Average Loss  1.448122, Time  0.439894
2021-09-24 08:43:19.796640 : Epoch  5, Batch     33, Loss  1.456250, Average Loss  1.448161, Time  0.438639
2021-09-24 08:43:24.078031 : CheckPoint: Validation Loss  0.00024892, Best Loss  0.00024587
2021-09-24 08:43:25.527920 : Epoch  5, Batch     34, Loss  1.449141, Average Loss  1.448155, Time  0.438283
2021-09-24 08:43:29.763892 : Epoch  4, Batch    917, Loss  1.442759, Average Loss  1.448094, Time  0.444206
2021-09-24 08:43:31.254299 : Epoch  5, Batch     35, Loss  1.452326, Average Loss  1.448159, Time  0.438183
2021-09-24 08:43:35.486267 : Epoch  4, Batch    918, Loss  1.447589, Average Loss  1.448092, Time  0.443140
2021-09-24 08:43:36.989711 : Epoch  5, Batch     36, Loss  1.464008, Average Loss  1.448206, Time  0.438342
2021-09-24 08:43:41.178780 : Epoch  4, Batch    919, Loss  1.447388, Average Loss  1.448044, Time  0.442523
2021-09-24 08:43:42.725250 : Epoch  5, Batch     37, Loss  1.458016, Average Loss  1.448248, Time  0.438229
2021-09-24 08:43:46.896983 : Epoch  4, Batch    920, Loss  1.456423, Average Loss  1.448089, Time  0.456997
2021-09-24 08:43:48.462533 : Epoch  5, Batch     38, Loss  1.450830, Average Loss  1.448223, Time  0.440300
2021-09-24 08:43:52.609719 : Epoch  4, Batch    921, Loss  1.445608, Average Loss  1.448036, Time  0.441777
2021-09-24 08:43:54.189577 : Epoch  5, Batch     39, Loss  1.458968, Average Loss  1.448217, Time  0.449071
2021-09-24 08:43:58.333020 : Epoch  4, Batch    922, Loss  1.449076, Average Loss  1.448064, Time  0.442538
2021-09-24 08:43:59.930231 : Epoch  5, Batch     40, Loss  1.456159, Average Loss  1.448330, Time  0.439373
2021-09-24 08:44:04.054034 : Epoch  4, Batch    923, Loss  1.462164, Average Loss  1.448169, Time  0.443910
2021-09-24 08:44:05.696390 : Epoch  5, Batch     41, Loss  1.446744, Average Loss  1.448363, Time  0.439212
2021-09-24 08:44:09.801077 : Epoch  4, Batch    924, Loss  1.449747, Average Loss  1.448186, Time  0.442420
2021-09-24 08:44:11.435866 : Epoch  5, Batch     42, Loss  1.435835, Average Loss  1.448313, Time  0.439985
2021-09-24 08:44:15.498977 : Epoch  4, Batch    925, Loss  1.442584, Average Loss  1.448141, Time  0.443805
2021-09-24 08:44:17.130545 : Epoch  5, Batch     43, Loss  1.447416, Average Loss  1.448310, Time  0.439151
2021-09-24 08:44:21.216635 : Epoch  4, Batch    926, Loss  1.445321, Average Loss  1.448225, Time  0.444270
2021-09-24 08:44:22.915422 : Epoch  5, Batch     44, Loss  1.449384, Average Loss  1.448317, Time  0.439802
2021-09-24 08:44:26.935782 : Epoch  4, Batch    927, Loss  1.444093, Average Loss  1.448256, Time  0.443647
2021-09-24 08:44:28.679290 : Epoch  5, Batch     45, Loss  1.446509, Average Loss  1.448327, Time  0.438037
2021-09-24 08:44:32.690730 : Epoch  4, Batch    928, Loss  1.448339, Average Loss  1.448278, Time  0.456273
2021-09-24 08:44:32.727718 : Saving Model after 4-th Epoch.
2021-09-24 08:44:33.496669 : Epoch Finished.
2021-09-24 08:44:34.428480 : Epoch  5, Batch     46, Loss  1.433852, Average Loss  1.448238, Time  0.441566
2021-09-24 08:44:39.233763 : Batch Shuffled
2021-09-24 08:44:40.234029 : Epoch  5, Batch     47, Loss  1.450111, Average Loss  1.448249, Time  0.453554
2021-09-24 08:44:45.014131 : Epoch  5, Batch      1, Loss  1.442278, Average Loss  1.448248, Time  0.442170
2021-09-24 08:44:45.987314 : Epoch  5, Batch     48, Loss  1.451471, Average Loss  1.448298, Time  0.438514
2021-09-24 08:44:50.840607 : Epoch  5, Batch      2, Loss  1.442292, Average Loss  1.448265, Time  0.444460
2021-09-24 08:44:51.875614 : Epoch  5, Batch     49, Loss  1.445619, Average Loss  1.448257, Time  0.437005
2021-09-24 08:44:56.516403 : Epoch  5, Batch      3, Loss  1.441273, Average Loss  1.448316, Time  0.443015
2021-09-24 08:44:57.560519 : Epoch  5, Batch     50, Loss  1.442098, Average Loss  1.448233, Time  0.437418
2021-09-24 08:45:02.241237 : Epoch  5, Batch      4, Loss  1.453729, Average Loss  1.448388, Time  0.443133
2021-09-24 08:45:03.296999 : Epoch  5, Batch     51, Loss  1.442889, Average Loss  1.448236, Time  0.439044
2021-09-24 08:45:07.968513 : Epoch  5, Batch      5, Loss  1.453297, Average Loss  1.448363, Time  0.443660
2021-09-24 08:45:09.045718 : Epoch  5, Batch     52, Loss  1.439837, Average Loss  1.448225, Time  0.439608
2021-09-24 08:45:13.656217 : Epoch  5, Batch      6, Loss  1.444401, Average Loss  1.448368, Time  0.442340
2021-09-24 08:45:14.732023 : Epoch  5, Batch     53, Loss  1.451855, Average Loss  1.448211, Time  0.438148
2021-09-24 08:45:19.304909 : Epoch  5, Batch      7, Loss  1.453966, Average Loss  1.448400, Time  0.443588
2021-09-24 08:45:20.411559 : Epoch  5, Batch     54, Loss  1.443441, Average Loss  1.448166, Time  0.437420
2021-09-24 08:45:25.021660 : Epoch  5, Batch      8, Loss  1.442270, Average Loss  1.448361, Time  0.456434
2021-09-24 08:45:26.209243 : Epoch  5, Batch     55, Loss  1.435441, Average Loss  1.448056, Time  0.455264
2021-09-24 08:45:30.743920 : Epoch  5, Batch      9, Loss  1.455543, Average Loss  1.448351, Time  0.442730
2021-09-24 08:45:31.927499 : Epoch  5, Batch     56, Loss  1.440147, Average Loss  1.448025, Time  0.439784
2021-09-24 08:45:36.503539 : Epoch  5, Batch     10, Loss  1.443847, Average Loss  1.448259, Time  0.443023
2021-09-24 08:45:37.678399 : Epoch  5, Batch     57, Loss  1.439390, Average Loss  1.447908, Time  0.438890
2021-09-24 08:45:42.340538 : Epoch  5, Batch     11, Loss  1.440544, Average Loss  1.448170, Time  0.448138
2021-09-24 08:45:43.670970 : Epoch  5, Batch     58, Loss  1.436271, Average Loss  1.447863, Time  0.438992
2021-09-24 08:45:48.492519 : Epoch  5, Batch     12, Loss  1.462949, Average Loss  1.448219, Time  0.444725
2021-09-24 08:45:49.484484 : Epoch  5, Batch     59, Loss  1.454999, Average Loss  1.447879, Time  0.439620
2021-09-24 08:45:54.303663 : Epoch  5, Batch     13, Loss  1.446202, Average Loss  1.448193, Time  0.445174
2021-09-24 08:45:55.338319 : Epoch  5, Batch     60, Loss  1.470051, Average Loss  1.448007, Time  0.439316
2021-09-24 08:46:00.238134 : Epoch  5, Batch     14, Loss  1.456792, Average Loss  1.448216, Time  0.443029
2021-09-24 08:46:01.132047 : Epoch  5, Batch     61, Loss  1.456352, Average Loss  1.448044, Time  0.437337
2021-09-24 08:46:06.024125 : Epoch  5, Batch     15, Loss  1.436634, Average Loss  1.448109, Time  0.445638
2021-09-24 08:46:06.910699 : Epoch  5, Batch     62, Loss  1.453802, Average Loss  1.448111, Time  0.439884
2021-09-24 08:46:11.893956 : Epoch  5, Batch     16, Loss  1.448573, Average Loss  1.448134, Time  0.453485
2021-09-24 08:46:12.722159 : Epoch  5, Batch     63, Loss  1.444062, Average Loss  1.448058, Time  0.448860
2021-09-24 08:46:17.641536 : Epoch  5, Batch     17, Loss  1.457654, Average Loss  1.448183, Time  0.442640
2021-09-24 08:46:18.477803 : Epoch  5, Batch     64, Loss  1.437666, Average Loss  1.447934, Time  0.438307
2021-09-24 08:46:23.463869 : Epoch  5, Batch     18, Loss  1.452408, Average Loss  1.448206, Time  0.442948
2021-09-24 08:46:24.275490 : Epoch  5, Batch     65, Loss  1.461805, Average Loss  1.447974, Time  0.440259
2021-09-24 08:46:29.370729 : Epoch  5, Batch     19, Loss  1.440877, Average Loss  1.448218, Time  0.445760
2021-09-24 08:46:30.145594 : Epoch  5, Batch     66, Loss  1.452053, Average Loss  1.447949, Time  0.439294
2021-09-24 08:46:35.632491 : Epoch  5, Batch     20, Loss  1.447762, Average Loss  1.448207, Time  0.473101
2021-09-24 08:46:36.007008 : Epoch  5, Batch     67, Loss  1.434931, Average Loss  1.447798, Time  0.438030
2021-09-24 08:46:41.643089 : Epoch  5, Batch     21, Loss  1.449634, Average Loss  1.448151, Time  0.452397
2021-09-24 08:46:41.796934 : Epoch  5, Batch     68, Loss  1.452017, Average Loss  1.447840, Time  0.439929
2021-09-24 08:46:47.547278 : Epoch  5, Batch     69, Loss  1.448035, Average Loss  1.447841, Time  0.438925
2021-09-24 08:46:47.584565 : Epoch  5, Batch     22, Loss  1.444864, Average Loss  1.448207, Time  0.444712
2021-09-24 08:46:53.433467 : Epoch  5, Batch     70, Loss  1.448601, Average Loss  1.447835, Time  0.440393
2021-09-24 08:46:53.547570 : Epoch  5, Batch     23, Loss  1.456532, Average Loss  1.448231, Time  0.460156
2021-09-24 08:46:59.222484 : Epoch  5, Batch     71, Loss  1.444648, Average Loss  1.447841, Time  0.449885
2021-09-24 08:46:59.388824 : Epoch  5, Batch     24, Loss  1.438816, Average Loss  1.448229, Time  0.444652
2021-09-24 08:47:04.987121 : Epoch  5, Batch     72, Loss  1.436633, Average Loss  1.447747, Time  0.439397
2021-09-24 08:47:05.156007 : Epoch  5, Batch     25, Loss  1.468376, Average Loss  1.448374, Time  0.445116
2021-09-24 08:47:10.905561 : Epoch  5, Batch     73, Loss  1.457573, Average Loss  1.447757, Time  0.439077
2021-09-24 08:47:11.078451 : Epoch  5, Batch     26, Loss  1.436723, Average Loss  1.448323, Time  0.444274
2021-09-24 08:47:16.616156 : Epoch  5, Batch     74, Loss  1.463956, Average Loss  1.447781, Time  0.438105
2021-09-24 08:47:16.785841 : Epoch  5, Batch     27, Loss  1.454239, Average Loss  1.448380, Time  0.444492
2021-09-24 08:47:22.361562 : Epoch  5, Batch     75, Loss  1.446766, Average Loss  1.447785, Time  0.439948
2021-09-24 08:47:22.538081 : Epoch  5, Batch     28, Loss  1.440066, Average Loss  1.448350, Time  0.442630
2021-09-24 08:47:28.138527 : Epoch  5, Batch     76, Loss  1.448103, Average Loss  1.447809, Time  0.439107
2021-09-24 08:47:28.320813 : Epoch  5, Batch     29, Loss  1.453874, Average Loss  1.448390, Time  0.444054
2021-09-24 08:47:33.852844 : Epoch  5, Batch     77, Loss  1.446460, Average Loss  1.447790, Time  0.439940
2021-09-24 08:47:34.012299 : Epoch  5, Batch     30, Loss  1.431914, Average Loss  1.448304, Time  0.445345
2021-09-24 08:47:39.560847 : Epoch  5, Batch     78, Loss  1.447697, Average Loss  1.447822, Time  0.437747
2021-09-24 08:47:39.665359 : Epoch  5, Batch     31, Loss  1.447406, Average Loss  1.448262, Time  0.442389
2021-09-24 08:47:45.284948 : Epoch  5, Batch     79, Loss  1.445141, Average Loss  1.447759, Time  0.453818
2021-09-24 08:47:45.378915 : Epoch  5, Batch     32, Loss  1.450423, Average Loss  1.448253, Time  0.459168
2021-09-24 08:47:51.016986 : Epoch  5, Batch     80, Loss  1.454622, Average Loss  1.447827, Time  0.440821
2021-09-24 08:47:51.096749 : Epoch  5, Batch     33, Loss  1.449852, Average Loss  1.448227, Time  0.444801
2021-09-24 08:47:56.728143 : Epoch  5, Batch     81, Loss  1.451371, Average Loss  1.447827, Time  0.439640
2021-09-24 08:47:56.785042 : Epoch  5, Batch     34, Loss  1.448309, Average Loss  1.448248, Time  0.443917
2021-09-24 08:48:02.557570 : Epoch  5, Batch     82, Loss  1.445554, Average Loss  1.447879, Time  0.440305
2021-09-24 08:48:02.596261 : Epoch  5, Batch     35, Loss  1.435697, Average Loss  1.448216, Time  0.444398
2021-09-24 08:48:08.267075 : Epoch  5, Batch     83, Loss  1.444482, Average Loss  1.447872, Time  0.438340
2021-09-24 08:48:08.308223 : Epoch  5, Batch     36, Loss  1.436803, Average Loss  1.448175, Time  0.443346
2021-09-24 08:48:13.995143 : Epoch  5, Batch     84, Loss  1.445976, Average Loss  1.447848, Time  0.440320
2021-09-24 08:48:14.020039 : Epoch  5, Batch     37, Loss  1.447461, Average Loss  1.448125, Time  0.444841
2021-09-24 08:48:19.802981 : Epoch  5, Batch     85, Loss  1.449597, Average Loss  1.447883, Time  0.438934
2021-09-24 08:48:19.832075 : Epoch  5, Batch     38, Loss  1.447971, Average Loss  1.448087, Time  0.443839
2021-09-24 08:48:25.560781 : Epoch  5, Batch     39, Loss  1.442845, Average Loss  1.448013, Time  0.442198
2021-09-24 08:48:25.585314 : Epoch  5, Batch     86, Loss  1.446690, Average Loss  1.447838, Time  0.438120
2021-09-24 08:48:31.202854 : Epoch  5, Batch     40, Loss  1.443591, Average Loss  1.447969, Time  0.455137
2021-09-24 08:48:31.245545 : Epoch  5, Batch     87, Loss  1.445745, Average Loss  1.447752, Time  0.452308
2021-09-24 08:48:36.932767 : Epoch  5, Batch     41, Loss  1.458409, Average Loss  1.448010, Time  0.445130
2021-09-24 08:48:36.992917 : Epoch  5, Batch     88, Loss  1.451504, Average Loss  1.447763, Time  0.440854
2021-09-24 08:48:42.731106 : Epoch  5, Batch     42, Loss  1.457199, Average Loss  1.448054, Time  0.443339
2021-09-24 08:48:48.422143 : Epoch  5, Batch     43, Loss  1.442592, Average Loss  1.448030, Time  0.445689
2021-09-24 08:48:54.153926 : Epoch  5, Batch     44, Loss  1.441248, Average Loss  1.448033, Time  0.442624
2021-09-24 08:48:59.915826 : Epoch  5, Batch     45, Loss  1.433721, Average Loss  1.447921, Time  0.444462
2021-09-24 08:49:05.709387 : Epoch  5, Batch     46, Loss  1.433358, Average Loss  1.447788, Time  0.443462
2021-09-24 08:49:11.460818 : Epoch  5, Batch     47, Loss  1.452585, Average Loss  1.447761, Time  0.443566
2021-09-24 08:49:17.163851 : Epoch  5, Batch     48, Loss  1.442768, Average Loss  1.447693, Time  0.454628
2021-09-24 08:49:22.850006 : Epoch  5, Batch     49, Loss  1.433366, Average Loss  1.447659, Time  0.442706
2021-09-24 08:49:28.603915 : Epoch  5, Batch     50, Loss  1.462981, Average Loss  1.447694, Time  0.443683
2021-09-24 08:49:34.298091 : Epoch  5, Batch     51, Loss  1.440423, Average Loss  1.447668, Time  0.441476
2021-09-24 08:49:40.176658 : Epoch  5, Batch     52, Loss  1.460008, Average Loss  1.447754, Time  0.443088
2021-09-24 08:49:45.904711 : Epoch  5, Batch     53, Loss  1.449085, Average Loss  1.447805, Time  0.442847
2021-09-24 08:49:51.609321 : Epoch  5, Batch     54, Loss  1.451690, Average Loss  1.447790, Time  0.441332
2021-09-24 08:49:57.348730 : Epoch  5, Batch     55, Loss  1.446629, Average Loss  1.447805, Time  0.442169
2021-09-24 08:50:03.107901 : Epoch  5, Batch     56, Loss  1.450092, Average Loss  1.447815, Time  0.455778
2021-09-24 08:50:08.804757 : Epoch  5, Batch     57, Loss  1.441782, Average Loss  1.447836, Time  0.443332
2021-09-24 08:50:14.516861 : Epoch  5, Batch     58, Loss  1.450472, Average Loss  1.447863, Time  0.443789
2021-09-24 08:50:20.312062 : Epoch  5, Batch     59, Loss  1.450455, Average Loss  1.447822, Time  0.443220
2021-09-24 08:50:26.058512 : Epoch  5, Batch     60, Loss  1.453038, Average Loss  1.447757, Time  0.442004
2021-09-24 08:50:31.780416 : Epoch  5, Batch     61, Loss  1.448946, Average Loss  1.447715, Time  0.441817
2021-09-24 08:50:37.459645 : Epoch  5, Batch     62, Loss  1.456461, Average Loss  1.447771, Time  0.443712
2021-09-24 08:50:43.204170 : Epoch  5, Batch     63, Loss  1.453024, Average Loss  1.447787, Time  0.442803
2021-09-24 08:50:48.905066 : Epoch  5, Batch     64, Loss  1.436924, Average Loss  1.447824, Time  0.456770
2021-09-24 08:50:54.660437 : Epoch  5, Batch     65, Loss  1.452610, Average Loss  1.447858, Time  0.443806
2021-09-24 08:51:00.392125 : Epoch  5, Batch     66, Loss  1.449182, Average Loss  1.447782, Time  0.441966
2021-09-24 08:51:06.077776 : Epoch  5, Batch     67, Loss  1.448093, Average Loss  1.447682, Time  0.443533
2021-09-24 08:51:11.825295 : Epoch  5, Batch     68, Loss  1.437509, Average Loss  1.447636, Time  0.444877
2021-09-24 08:51:17.648382 : Epoch  5, Batch     69, Loss  1.450915, Average Loss  1.447619, Time  0.444012
2021-09-24 08:51:23.352960 : Epoch  5, Batch     70, Loss  1.431514, Average Loss  1.447527, Time  0.442602
2021-09-24 08:51:29.129655 : Epoch  5, Batch     71, Loss  1.454923, Average Loss  1.447592, Time  0.444200
2021-09-24 08:51:34.909252 : Epoch  5, Batch     72, Loss  1.449268, Average Loss  1.447605, Time  0.453691
2021-09-24 08:51:40.625050 : Epoch  5, Batch     73, Loss  1.450521, Average Loss  1.447621, Time  0.443019
2021-09-24 08:51:46.366794 : Epoch  5, Batch     74, Loss  1.452924, Average Loss  1.447692, Time  0.442300
2021-09-24 08:51:52.121844 : Epoch  5, Batch     75, Loss  1.440655, Average Loss  1.447712, Time  0.443342
2021-09-24 08:51:57.814152 : Epoch  5, Batch     76, Loss  1.460598, Average Loss  1.447748, Time  0.443567
2021-09-24 08:52:03.502266 : Epoch  5, Batch     77, Loss  1.459027, Average Loss  1.447806, Time  0.443080
2021-09-24 08:52:09.186488 : Epoch  5, Batch     78, Loss  1.458771, Average Loss  1.447896, Time  0.442484
2021-09-24 08:52:14.876731 : Epoch  5, Batch     79, Loss  1.458728, Average Loss  1.447939, Time  0.441905
2021-09-24 08:52:20.622963 : Epoch  5, Batch     80, Loss  1.446026, Average Loss  1.447861, Time  0.457309
2021-09-24 08:52:26.391446 : Epoch  5, Batch     81, Loss  1.452448, Average Loss  1.447895, Time  0.443882
2021-09-24 08:52:32.130110 : Epoch  5, Batch     82, Loss  1.445781, Average Loss  1.447855, Time  0.442333
2021-09-24 08:52:37.802169 : Epoch  5, Batch     83, Loss  1.437915, Average Loss  1.447883, Time  0.443234
2021-09-24 08:52:43.549092 : Epoch  5, Batch     84, Loss  1.445439, Average Loss  1.447814, Time  0.441669
2021-09-24 08:52:49.241220 : Epoch  5, Batch     85, Loss  1.448297, Average Loss  1.447792, Time  0.443153
2021-09-24 08:52:54.941821 : Epoch  5, Batch     86, Loss  1.450480, Average Loss  1.447737, Time  0.443662
2021-09-24 08:53:00.693049 : Epoch  5, Batch     87, Loss  1.457756, Average Loss  1.447785, Time  0.444101
2021-09-24 08:53:06.547220 : Epoch  5, Batch     88, Loss  1.446425, Average Loss  1.447735, Time  0.459061
2021-09-24 08:53:06.936498 : CheckPoint: Validation Loss  0.00025059, Best Loss  0.00024726
2021-09-24 08:53:12.702679 : Epoch  5, Batch     89, Loss  1.446699, Average Loss  1.447746, Time  0.449389
2021-09-24 08:53:18.510223 : Epoch  5, Batch     90, Loss  1.441604, Average Loss  1.447748, Time  0.438005
2021-09-24 08:53:24.322437 : Epoch  5, Batch     91, Loss  1.452134, Average Loss  1.447811, Time  0.439244
2021-09-24 08:53:30.210955 : Epoch  5, Batch     92, Loss  1.449198, Average Loss  1.447790, Time  0.438753
2021-09-24 08:53:36.013476 : Epoch  5, Batch     93, Loss  1.455010, Average Loss  1.447783, Time  0.438798
2021-09-24 08:53:41.825970 : Epoch  5, Batch     94, Loss  1.458552, Average Loss  1.447831, Time  0.436821
2021-09-24 08:53:47.731356 : Epoch  5, Batch     95, Loss  1.450232, Average Loss  1.447769, Time  0.439769
2021-09-24 08:53:53.566489 : Epoch  5, Batch     96, Loss  1.451014, Average Loss  1.447871, Time  0.438241
2021-09-24 08:53:59.335797 : Epoch  5, Batch     97, Loss  1.447248, Average Loss  1.447964, Time  0.449012
2021-09-24 08:54:05.050927 : Epoch  5, Batch     98, Loss  1.443148, Average Loss  1.447921, Time  0.438712
2021-09-24 08:54:10.837415 : Epoch  5, Batch     99, Loss  1.450612, Average Loss  1.447936, Time  0.439645
2021-09-24 08:54:16.678570 : Epoch  5, Batch    100, Loss  1.455979, Average Loss  1.447988, Time  0.438638
2021-09-24 08:54:22.452071 : Epoch  5, Batch    101, Loss  1.451283, Average Loss  1.448026, Time  0.440037
2021-09-24 08:54:28.261413 : Epoch  5, Batch    102, Loss  1.453495, Average Loss  1.448084, Time  0.439266
2021-09-24 08:54:33.985302 : Epoch  5, Batch    103, Loss  1.447015, Average Loss  1.448173, Time  0.438964
2021-09-24 08:54:39.718472 : Epoch  5, Batch    104, Loss  1.442126, Average Loss  1.448087, Time  0.439729
2021-09-24 08:54:45.602162 : Epoch  5, Batch    105, Loss  1.448842, Average Loss  1.448137, Time  0.452481
2021-09-24 08:54:51.417066 : Epoch  5, Batch    106, Loss  1.442993, Average Loss  1.448066, Time  0.439002
2021-09-24 08:54:57.244743 : Epoch  5, Batch    107, Loss  1.455469, Average Loss  1.448077, Time  0.439822
2021-09-24 08:55:03.012520 : Epoch  5, Batch    108, Loss  1.442823, Average Loss  1.448050, Time  0.437616
2021-09-24 08:55:08.807962 : Epoch  5, Batch    109, Loss  1.456358, Average Loss  1.448154, Time  0.438038
2021-09-24 08:55:14.635158 : Epoch  5, Batch    110, Loss  1.430773, Average Loss  1.448031, Time  0.438762
2021-09-24 08:55:20.442078 : Epoch  5, Batch    111, Loss  1.443773, Average Loss  1.447991, Time  0.440101
2021-09-24 08:55:26.297970 : Epoch  5, Batch    112, Loss  1.449931, Average Loss  1.448026, Time  0.438242
2021-09-24 08:55:32.196366 : Epoch  5, Batch    113, Loss  1.458275, Average Loss  1.448076, Time  0.454386
2021-09-24 08:55:38.092705 : Epoch  5, Batch    114, Loss  1.445106, Average Loss  1.448109, Time  0.438168
2021-09-24 08:55:43.976772 : Epoch  5, Batch    115, Loss  1.450255, Average Loss  1.448065, Time  0.439227
2021-09-24 08:55:49.765257 : Epoch  5, Batch    116, Loss  1.435134, Average Loss  1.448026, Time  0.437654
2021-09-24 08:55:55.642207 : Epoch  5, Batch    117, Loss  1.449505, Average Loss  1.448030, Time  0.440403
2021-09-24 08:56:01.546161 : Epoch  5, Batch    118, Loss  1.448092, Average Loss  1.448080, Time  0.438588
2021-09-24 08:56:07.337912 : Epoch  5, Batch    119, Loss  1.448171, Average Loss  1.448027, Time  0.438192
2021-09-24 08:56:13.109126 : Epoch  5, Batch    120, Loss  1.443431, Average Loss  1.448010, Time  0.437531
2021-09-24 08:56:18.910893 : Epoch  5, Batch    121, Loss  1.446224, Average Loss  1.448010, Time  0.449083
2021-09-24 08:56:24.724313 : Epoch  5, Batch    122, Loss  1.453006, Average Loss  1.448061, Time  0.438206
2021-09-24 08:56:30.536284 : Epoch  5, Batch    123, Loss  1.445160, Average Loss  1.448068, Time  0.438174
2021-09-24 08:56:36.347432 : Epoch  5, Batch    124, Loss  1.452084, Average Loss  1.448124, Time  0.438138
2021-09-24 08:56:42.132464 : Epoch  5, Batch    125, Loss  1.426988, Average Loss  1.447983, Time  0.437689
2021-09-24 08:56:47.908713 : Epoch  5, Batch    126, Loss  1.442939, Average Loss  1.447978, Time  0.439660
2021-09-24 08:56:53.872358 : Epoch  5, Batch    127, Loss  1.455763, Average Loss  1.447993, Time  0.446406
2021-09-24 08:56:59.886947 : Epoch  5, Batch    128, Loss  1.428599, Average Loss  1.447882, Time  0.438730
2021-09-24 08:57:05.917258 : Epoch  5, Batch    129, Loss  1.452719, Average Loss  1.447925, Time  0.449545
2021-09-24 08:57:11.914426 : Epoch  5, Batch    130, Loss  1.438993, Average Loss  1.447948, Time  0.438983
2021-09-24 08:57:17.924173 : Epoch  5, Batch    131, Loss  1.447312, Average Loss  1.447986, Time  0.438588
2021-09-24 08:57:23.944968 : Epoch  5, Batch    132, Loss  1.437764, Average Loss  1.447991, Time  0.438601
2021-09-24 08:57:29.951501 : Epoch  5, Batch    133, Loss  1.451304, Average Loss  1.448054, Time  0.438029
2021-09-24 08:57:36.002484 : Epoch  5, Batch    134, Loss  1.439592, Average Loss  1.447939, Time  0.438378
2021-09-24 08:57:38.810486 : CheckPoint: Validation Loss  0.00025278, Best Loss  0.00024587
2021-09-24 08:57:42.002841 : Epoch  5, Batch    135, Loss  1.441253, Average Loss  1.447920, Time  0.437886
2021-09-24 08:57:44.770825 : Epoch  5, Batch     89, Loss  1.445360, Average Loss  1.447721, Time  0.442898
2021-09-24 08:57:47.877059 : Epoch  5, Batch    136, Loss  1.443095, Average Loss  1.447875, Time  0.436530
2021-09-24 08:57:50.393940 : Epoch  5, Batch     90, Loss  1.451475, Average Loss  1.447810, Time  0.442887
2021-09-24 08:57:53.667174 : Epoch  5, Batch    137, Loss  1.436461, Average Loss  1.447787, Time  0.446932
2021-09-24 08:57:56.100153 : Epoch  5, Batch     91, Loss  1.444948, Average Loss  1.447856, Time  0.455224
2021-09-24 08:57:59.459979 : Epoch  5, Batch    138, Loss  1.462794, Average Loss  1.447889, Time  0.436967
2021-09-24 08:58:01.856393 : Epoch  5, Batch     92, Loss  1.437138, Average Loss  1.447752, Time  0.443583
2021-09-24 08:58:05.164368 : Epoch  5, Batch    139, Loss  1.429978, Average Loss  1.447787, Time  0.438049
2021-09-24 08:58:07.476167 : Epoch  5, Batch     93, Loss  1.451056, Average Loss  1.447721, Time  0.441328
2021-09-24 08:58:10.847634 : Epoch  5, Batch    140, Loss  1.447891, Average Loss  1.447740, Time  0.437158
2021-09-24 08:58:13.127118 : Epoch  5, Batch     94, Loss  1.432880, Average Loss  1.447616, Time  0.441222
2021-09-24 08:58:16.580825 : Epoch  5, Batch    141, Loss  1.444860, Average Loss  1.447690, Time  0.437932
2021-09-24 08:58:18.779428 : Epoch  5, Batch     95, Loss  1.447981, Average Loss  1.447629, Time  0.441607
2021-09-24 08:58:22.276450 : Epoch  5, Batch    142, Loss  1.443598, Average Loss  1.447676, Time  0.438176
2021-09-24 08:58:24.403990 : Epoch  5, Batch     96, Loss  1.448855, Average Loss  1.447660, Time  0.441715
2021-09-24 08:58:27.966666 : Epoch  5, Batch    143, Loss  1.440389, Average Loss  1.447636, Time  0.437277
2021-09-24 08:58:30.042694 : Epoch  5, Batch     97, Loss  1.448872, Average Loss  1.447601, Time  0.441638
2021-09-24 08:58:33.652119 : Epoch  5, Batch    144, Loss  1.443674, Average Loss  1.447650, Time  0.436671
2021-09-24 08:58:35.658431 : Epoch  5, Batch     98, Loss  1.460681, Average Loss  1.447629, Time  0.443635
2021-09-24 08:58:39.369189 : Epoch  5, Batch    145, Loss  1.438604, Average Loss  1.447603, Time  0.452947
2021-09-24 08:58:41.319635 : Epoch  5, Batch     99, Loss  1.442610, Average Loss  1.447604, Time  0.457796
2021-09-24 08:58:45.133894 : Epoch  5, Batch    146, Loss  1.455063, Average Loss  1.447604, Time  0.437502
2021-09-24 08:58:47.019978 : Epoch  5, Batch    100, Loss  1.453569, Average Loss  1.447681, Time  0.442401
2021-09-24 08:58:50.886898 : Epoch  5, Batch    147, Loss  1.448659, Average Loss  1.447563, Time  0.438145
2021-09-24 08:58:52.658208 : Epoch  5, Batch    101, Loss  1.442871, Average Loss  1.447636, Time  0.441929
2021-09-24 08:58:56.624579 : Epoch  5, Batch    148, Loss  1.444336, Average Loss  1.447500, Time  0.437032
2021-09-24 08:58:58.301777 : Epoch  5, Batch    102, Loss  1.454758, Average Loss  1.447633, Time  0.442287
2021-09-24 08:59:02.400696 : Epoch  5, Batch    149, Loss  1.447032, Average Loss  1.447531, Time  0.437991
2021-09-24 08:59:03.993315 : Epoch  5, Batch    103, Loss  1.449521, Average Loss  1.447670, Time  0.441342
2021-09-24 08:59:08.103404 : Epoch  5, Batch    150, Loss  1.458969, Average Loss  1.447579, Time  0.440133
2021-09-24 08:59:09.690466 : Epoch  5, Batch    104, Loss  1.437659, Average Loss  1.447685, Time  0.442134
2021-09-24 08:59:13.849929 : Epoch  5, Batch    151, Loss  1.434648, Average Loss  1.447555, Time  0.436869
2021-09-24 08:59:15.305787 : Epoch  5, Batch    105, Loss  1.445879, Average Loss  1.447665, Time  0.441572
2021-09-24 08:59:19.550565 : Epoch  5, Batch    152, Loss  1.440929, Average Loss  1.447506, Time  0.437299
2021-09-24 08:59:20.957538 : Epoch  5, Batch    106, Loss  1.445639, Average Loss  1.447643, Time  0.441372
2021-09-24 08:59:25.390935 : Epoch  5, Batch    153, Loss  1.452024, Average Loss  1.447519, Time  0.449972
2021-09-24 08:59:26.726366 : Epoch  5, Batch    107, Loss  1.452964, Average Loss  1.447665, Time  0.452346
2021-09-24 08:59:31.194844 : Epoch  5, Batch    154, Loss  1.453528, Average Loss  1.447534, Time  0.437035
2021-09-24 08:59:32.403002 : Epoch  5, Batch    108, Loss  1.446629, Average Loss  1.447591, Time  0.441885
2021-09-24 08:59:36.893909 : Epoch  5, Batch    155, Loss  1.454694, Average Loss  1.447580, Time  0.436948
2021-09-24 08:59:38.037790 : Epoch  5, Batch    109, Loss  1.448107, Average Loss  1.447572, Time  0.441781
2021-09-24 08:59:42.592924 : Epoch  5, Batch    156, Loss  1.447285, Average Loss  1.447622, Time  0.436699
2021-09-24 08:59:43.650209 : Epoch  5, Batch    110, Loss  1.442111, Average Loss  1.447589, Time  0.441531
2021-09-24 08:59:48.518096 : Epoch  5, Batch    157, Loss  1.453204, Average Loss  1.447726, Time  0.439057
2021-09-24 08:59:49.553967 : Epoch  5, Batch    111, Loss  1.461431, Average Loss  1.447643, Time  0.443439
2021-09-24 08:59:54.550858 : Epoch  5, Batch    158, Loss  1.449393, Average Loss  1.447741, Time  0.439076
2021-09-24 08:59:55.514779 : Epoch  5, Batch    112, Loss  1.457378, Average Loss  1.447666, Time  0.443709
2021-09-24 09:00:00.584470 : Epoch  5, Batch    159, Loss  1.459540, Average Loss  1.447790, Time  0.439125
2021-09-24 09:00:01.460952 : Epoch  5, Batch    113, Loss  1.452074, Average Loss  1.447709, Time  0.448427
2021-09-24 09:00:06.594516 : Epoch  5, Batch    160, Loss  1.457845, Average Loss  1.447884, Time  0.439820
2021-09-24 09:00:07.406921 : Epoch  5, Batch    114, Loss  1.448370, Average Loss  1.447731, Time  0.443403
2021-09-24 09:00:12.630687 : Epoch  5, Batch    161, Loss  1.455208, Average Loss  1.447916, Time  0.453791
2021-09-24 09:00:13.358346 : Epoch  5, Batch    115, Loss  1.442303, Average Loss  1.447716, Time  0.454690
2021-09-24 09:00:18.653665 : Epoch  5, Batch    162, Loss  1.449183, Average Loss  1.447900, Time  0.440727
2021-09-24 09:00:19.300796 : Epoch  5, Batch    116, Loss  1.457313, Average Loss  1.447735, Time  0.442985
2021-09-24 09:00:24.689756 : Epoch  5, Batch    163, Loss  1.450715, Average Loss  1.447909, Time  0.439775
2021-09-24 09:00:25.240853 : Epoch  5, Batch    117, Loss  1.436207, Average Loss  1.447729, Time  0.443430
2021-09-24 09:00:30.710897 : Epoch  5, Batch    164, Loss  1.448847, Average Loss  1.447889, Time  0.440727
2021-09-24 09:00:31.208001 : Epoch  5, Batch    118, Loss  1.438803, Average Loss  1.447600, Time  0.444176
2021-09-24 09:00:36.744768 : Epoch  5, Batch    165, Loss  1.432831, Average Loss  1.447816, Time  0.442860
2021-09-24 09:00:37.150111 : Epoch  5, Batch    119, Loss  1.456130, Average Loss  1.447599, Time  0.451127
2021-09-24 09:00:42.765573 : Epoch  5, Batch    166, Loss  1.449882, Average Loss  1.447837, Time  0.441904
2021-09-24 09:00:43.091248 : Epoch  5, Batch    120, Loss  1.439778, Average Loss  1.447562, Time  0.443400
2021-09-24 09:00:48.791548 : Epoch  5, Batch    167, Loss  1.456914, Average Loss  1.447821, Time  0.439361
2021-09-24 09:00:49.029420 : Epoch  5, Batch    121, Loss  1.432507, Average Loss  1.447510, Time  0.447668
2021-09-24 09:00:54.821489 : Epoch  5, Batch    168, Loss  1.447932, Average Loss  1.447793, Time  0.449911
2021-09-24 09:00:54.955220 : Epoch  5, Batch    122, Loss  1.456872, Average Loss  1.447526, Time  0.445024
2021-09-24 09:01:00.858029 : Epoch  5, Batch    169, Loss  1.440712, Average Loss  1.447781, Time  0.439701
2021-09-24 09:01:00.902826 : Epoch  5, Batch    123, Loss  1.466307, Average Loss  1.447611, Time  0.462385
2021-09-24 09:01:06.830224 : Epoch  5, Batch    124, Loss  1.443925, Average Loss  1.447678, Time  0.446722
2021-09-24 09:01:06.885857 : Epoch  5, Batch    170, Loss  1.450629, Average Loss  1.447736, Time  0.438754
2021-09-24 09:01:12.773414 : Epoch  5, Batch    125, Loss  1.461185, Average Loss  1.447744, Time  0.446185
2021-09-24 09:01:12.904842 : Epoch  5, Batch    171, Loss  1.443604, Average Loss  1.447658, Time  0.440894
2021-09-24 09:01:18.717184 : Epoch  5, Batch    126, Loss  1.446717, Average Loss  1.447734, Time  0.445897
2021-09-24 09:01:18.913096 : Epoch  5, Batch    172, Loss  1.455291, Average Loss  1.447735, Time  0.441812
2021-09-24 09:01:24.665161 : Epoch  5, Batch    127, Loss  1.442954, Average Loss  1.447757, Time  0.443741
2021-09-24 09:01:24.929149 : Epoch  5, Batch    173, Loss  1.460424, Average Loss  1.447786, Time  0.444422
2021-09-24 09:01:30.599845 : Epoch  5, Batch    128, Loss  1.452581, Average Loss  1.447711, Time  0.445773
2021-09-24 09:01:30.934382 : Epoch  5, Batch    174, Loss  1.442585, Average Loss  1.447789, Time  0.439862
2021-09-24 09:01:36.530790 : Epoch  5, Batch    129, Loss  1.450128, Average Loss  1.447748, Time  0.444872
2021-09-24 09:01:36.947542 : Epoch  5, Batch    175, Loss  1.441036, Average Loss  1.447768, Time  0.439175
2021-09-24 09:01:42.483903 : Epoch  5, Batch    130, Loss  1.457879, Average Loss  1.447745, Time  0.443674
2021-09-24 09:01:42.984786 : Epoch  5, Batch    176, Loss  1.442153, Average Loss  1.447733, Time  0.448486
2021-09-24 09:01:48.437837 : Epoch  5, Batch    131, Loss  1.444561, Average Loss  1.447665, Time  0.453191
2021-09-24 09:01:48.987902 : Epoch  5, Batch    177, Loss  1.460080, Average Loss  1.447782, Time  0.441961
2021-09-24 09:01:54.385571 : Epoch  5, Batch    132, Loss  1.439345, Average Loss  1.447631, Time  0.446446
2021-09-24 09:01:55.010683 : Epoch  5, Batch    178, Loss  1.450741, Average Loss  1.447764, Time  0.438737
2021-09-24 09:02:00.327758 : Epoch  5, Batch    133, Loss  1.450497, Average Loss  1.447714, Time  0.443408
2021-09-24 09:02:01.035364 : Epoch  5, Batch    179, Loss  1.447706, Average Loss  1.447790, Time  0.445847
2021-09-24 09:02:06.266603 : Epoch  5, Batch    134, Loss  1.442969, Average Loss  1.447735, Time  0.444390
2021-09-24 09:02:07.074131 : Epoch  5, Batch    180, Loss  1.442446, Average Loss  1.447753, Time  0.439039
2021-09-24 09:02:12.219275 : Epoch  5, Batch    135, Loss  1.443542, Average Loss  1.447754, Time  0.446126
2021-09-24 09:02:13.110561 : Epoch  5, Batch    181, Loss  1.450259, Average Loss  1.447685, Time  0.438506
2021-09-24 09:02:18.174566 : Epoch  5, Batch    136, Loss  1.431717, Average Loss  1.447690, Time  0.444651
2021-09-24 09:02:19.132937 : Epoch  5, Batch    182, Loss  1.437851, Average Loss  1.447612, Time  0.438749
2021-09-24 09:02:24.124209 : Epoch  5, Batch    137, Loss  1.437651, Average Loss  1.447729, Time  0.447833
2021-09-24 09:02:25.162815 : Epoch  5, Batch    183, Loss  1.425851, Average Loss  1.447529, Time  0.439295
2021-09-24 09:02:30.069711 : Epoch  5, Batch    138, Loss  1.465629, Average Loss  1.447825, Time  0.448549
2021-09-24 09:02:31.200015 : Epoch  5, Batch    184, Loss  1.455449, Average Loss  1.447556, Time  0.453087
2021-09-24 09:02:36.024525 : Epoch  5, Batch    139, Loss  1.450259, Average Loss  1.447796, Time  0.461293
2021-09-24 09:02:37.241073 : Epoch  5, Batch    185, Loss  1.456217, Average Loss  1.447561, Time  0.439308
2021-09-24 09:02:41.956331 : Epoch  5, Batch    140, Loss  1.439793, Average Loss  1.447771, Time  0.444512
2021-09-24 09:02:43.284336 : Epoch  5, Batch    186, Loss  1.447140, Average Loss  1.447576, Time  0.441140
2021-09-24 09:02:47.897488 : Epoch  5, Batch    141, Loss  1.456492, Average Loss  1.447769, Time  0.443540
2021-09-24 09:02:49.316956 : Epoch  5, Batch    187, Loss  1.446507, Average Loss  1.447585, Time  0.440272
2021-09-24 09:02:53.849634 : Epoch  5, Batch    142, Loss  1.452955, Average Loss  1.447804, Time  0.443685
2021-09-24 09:02:55.346460 : Epoch  5, Batch    188, Loss  1.445345, Average Loss  1.447680, Time  0.439556
2021-09-24 09:02:59.822386 : Epoch  5, Batch    143, Loss  1.431988, Average Loss  1.447770, Time  0.445977
2021-09-24 09:03:05.763111 : Epoch  5, Batch    144, Loss  1.455754, Average Loss  1.447765, Time  0.443268
2021-09-24 09:03:11.702470 : Epoch  5, Batch    145, Loss  1.448798, Average Loss  1.447823, Time  0.442966
2021-09-24 09:03:17.658431 : Epoch  5, Batch    146, Loss  1.449585, Average Loss  1.447805, Time  0.450206
2021-09-24 09:03:23.627709 : Epoch  5, Batch    147, Loss  1.438018, Average Loss  1.447768, Time  0.458344
2021-09-24 09:03:29.574648 : Epoch  5, Batch    148, Loss  1.448950, Average Loss  1.447776, Time  0.446800
2021-09-24 09:03:35.521556 : Epoch  5, Batch    149, Loss  1.452956, Average Loss  1.447797, Time  0.446176
2021-09-24 09:03:41.473597 : Epoch  5, Batch    150, Loss  1.458979, Average Loss  1.447911, Time  0.443187
2021-09-24 09:03:47.417860 : Epoch  5, Batch    151, Loss  1.428912, Average Loss  1.447804, Time  0.450147
2021-09-24 09:03:53.358906 : Epoch  5, Batch    152, Loss  1.451679, Average Loss  1.447807, Time  0.444430
2021-09-24 09:03:59.312107 : Epoch  5, Batch    153, Loss  1.443735, Average Loss  1.447778, Time  0.444166
2021-09-24 09:04:05.251547 : Epoch  5, Batch    154, Loss  1.442124, Average Loss  1.447735, Time  0.447336
2021-09-24 09:04:11.185686 : Epoch  5, Batch    155, Loss  1.455006, Average Loss  1.447800, Time  0.450042
2021-09-24 09:04:17.135352 : Epoch  5, Batch    156, Loss  1.465243, Average Loss  1.447983, Time  0.444158
2021-09-24 09:04:23.072825 : Epoch  5, Batch    157, Loss  1.452596, Average Loss  1.447986, Time  0.446992
2021-09-24 09:04:29.038537 : Epoch  5, Batch    158, Loss  1.445250, Average Loss  1.447954, Time  0.448085
2021-09-24 09:04:34.981790 : Epoch  5, Batch    159, Loss  1.444783, Average Loss  1.447948, Time  0.446020
2021-09-24 09:04:40.927412 : Epoch  5, Batch    160, Loss  1.443548, Average Loss  1.447972, Time  0.445984
2021-09-24 09:04:46.868427 : Epoch  5, Batch    161, Loss  1.441212, Average Loss  1.447917, Time  0.442856
2021-09-24 09:04:52.837066 : Epoch  5, Batch    162, Loss  1.443514, Average Loss  1.447930, Time  0.463600
2021-09-24 09:04:58.782358 : Epoch  5, Batch    163, Loss  1.432016, Average Loss  1.447893, Time  0.445971
2021-09-24 09:05:04.732788 : Epoch  5, Batch    164, Loss  1.446730, Average Loss  1.447891, Time  0.443643
2021-09-24 09:05:10.686119 : Epoch  5, Batch    165, Loss  1.451230, Average Loss  1.447907, Time  0.443507
2021-09-24 09:05:16.645155 : Epoch  5, Batch    166, Loss  1.443670, Average Loss  1.447950, Time  0.448582
2021-09-24 09:05:22.607660 : Epoch  5, Batch    167, Loss  1.439814, Average Loss  1.447944, Time  0.444701
2021-09-24 09:05:28.543036 : Epoch  5, Batch    168, Loss  1.457769, Average Loss  1.447961, Time  0.443233
2021-09-24 09:05:34.492107 : Epoch  5, Batch    169, Loss  1.455719, Average Loss  1.448029, Time  0.449362
2021-09-24 09:05:40.437726 : Epoch  5, Batch    170, Loss  1.454654, Average Loss  1.448006, Time  0.456349
2021-09-24 09:05:46.388742 : Epoch  5, Batch    171, Loss  1.458749, Average Loss  1.448014, Time  0.443079
2021-09-24 09:05:52.325258 : Epoch  5, Batch    172, Loss  1.443174, Average Loss  1.447985, Time  0.446301
2021-09-24 09:05:58.267749 : Epoch  5, Batch    173, Loss  1.445926, Average Loss  1.447943, Time  0.443442
2021-09-24 09:06:04.213437 : Epoch  5, Batch    174, Loss  1.454029, Average Loss  1.447942, Time  0.442881
2021-09-24 09:06:10.161750 : Epoch  5, Batch    175, Loss  1.444974, Average Loss  1.447924, Time  0.443320
2021-09-24 09:06:16.101333 : Epoch  5, Batch    176, Loss  1.464350, Average Loss  1.448055, Time  0.445873
2021-09-24 09:06:22.048677 : Epoch  5, Batch    177, Loss  1.442944, Average Loss  1.448048, Time  0.443547
2021-09-24 09:06:28.009380 : Epoch  5, Batch    178, Loss  1.461012, Average Loss  1.448030, Time  0.455494
2021-09-24 09:06:33.965011 : Epoch  5, Batch    179, Loss  1.452737, Average Loss  1.448079, Time  0.445091
2021-09-24 09:06:39.914959 : Epoch  5, Batch    180, Loss  1.450627, Average Loss  1.448077, Time  0.446815
2021-09-24 09:06:45.862808 : Epoch  5, Batch    181, Loss  1.452813, Average Loss  1.448152, Time  0.447517
2021-09-24 09:06:51.791284 : Epoch  5, Batch    182, Loss  1.454169, Average Loss  1.448194, Time  0.445695
2021-09-24 09:06:57.742915 : Epoch  5, Batch    183, Loss  1.439551, Average Loss  1.448111, Time  0.447913
2021-09-24 09:07:03.682230 : Epoch  5, Batch    184, Loss  1.452932, Average Loss  1.448151, Time  0.445228
2021-09-24 09:07:09.631800 : Epoch  5, Batch    185, Loss  1.458604, Average Loss  1.448197, Time  0.443154
2021-09-24 09:07:15.581597 : Epoch  5, Batch    186, Loss  1.449307, Average Loss  1.448173, Time  0.457322
2021-09-24 09:07:21.530817 : Epoch  5, Batch    187, Loss  1.447443, Average Loss  1.448231, Time  0.443494
2021-09-24 09:07:27.472556 : Epoch  5, Batch    188, Loss  1.453493, Average Loss  1.448209, Time  0.444581
2021-09-24 09:07:35.613560 : CheckPoint: Validation Loss  0.00025098, Best Loss  0.00024726
2021-09-24 09:07:41.588899 : Epoch  5, Batch    189, Loss  1.449548, Average Loss  1.447720, Time  0.441165
2021-09-24 09:07:47.623678 : Epoch  5, Batch    190, Loss  1.459877, Average Loss  1.447766, Time  0.448905
2021-09-24 09:07:53.670188 : Epoch  5, Batch    191, Loss  1.445850, Average Loss  1.447711, Time  0.449365
2021-09-24 09:07:59.703208 : Epoch  5, Batch    192, Loss  1.444269, Average Loss  1.447677, Time  0.440946
2021-09-24 09:08:05.731118 : Epoch  5, Batch    193, Loss  1.441841, Average Loss  1.447650, Time  0.440327
2021-09-24 09:08:11.760464 : Epoch  5, Batch    194, Loss  1.447113, Average Loss  1.447660, Time  0.442131
2021-09-24 09:08:17.782945 : Epoch  5, Batch    195, Loss  1.440552, Average Loss  1.447548, Time  0.443474
2021-09-24 09:08:23.815848 : Epoch  5, Batch    196, Loss  1.449852, Average Loss  1.447535, Time  0.440060
2021-09-24 09:08:29.844773 : Epoch  5, Batch    197, Loss  1.451311, Average Loss  1.447587, Time  0.440374
2021-09-24 09:08:35.893877 : Epoch  5, Batch    198, Loss  1.446830, Average Loss  1.447484, Time  0.452833
2021-09-24 09:08:41.932732 : Epoch  5, Batch    199, Loss  1.452856, Average Loss  1.447468, Time  0.446500
2021-09-24 09:08:47.963746 : Epoch  5, Batch    200, Loss  1.455868, Average Loss  1.447452, Time  0.438473
2021-09-24 09:08:53.985216 : Epoch  5, Batch    201, Loss  1.422726, Average Loss  1.447283, Time  0.440385
2021-09-24 09:09:00.015303 : Epoch  5, Batch    202, Loss  1.459633, Average Loss  1.447338, Time  0.438962
2021-09-24 09:09:06.049769 : Epoch  5, Batch    203, Loss  1.448943, Average Loss  1.447365, Time  0.440481
2021-09-24 09:09:12.088627 : Epoch  5, Batch    204, Loss  1.463998, Average Loss  1.447450, Time  0.439138
2021-09-24 09:09:18.133801 : Epoch  5, Batch    205, Loss  1.470068, Average Loss  1.447612, Time  0.439085
2021-09-24 09:09:24.172867 : Epoch  5, Batch    206, Loss  1.452507, Average Loss  1.447693, Time  0.454038
2021-09-24 09:09:30.226884 : Epoch  5, Batch    207, Loss  1.444169, Average Loss  1.447673, Time  0.445244
2021-09-24 09:09:36.253144 : Epoch  5, Batch    208, Loss  1.453469, Average Loss  1.447702, Time  0.438285
2021-09-24 09:09:42.282619 : Epoch  5, Batch    209, Loss  1.434986, Average Loss  1.447653, Time  0.442244
2021-09-24 09:09:48.309925 : Epoch  5, Batch    210, Loss  1.444658, Average Loss  1.447700, Time  0.441302
2021-09-24 09:09:54.339678 : Epoch  5, Batch    211, Loss  1.450821, Average Loss  1.447709, Time  0.440456
2021-09-24 09:10:00.381878 : Epoch  5, Batch    212, Loss  1.454454, Average Loss  1.447707, Time  0.445563
2021-09-24 09:10:06.431824 : Epoch  5, Batch    213, Loss  1.454098, Average Loss  1.447706, Time  0.453428
2021-09-24 09:10:12.477052 : Epoch  5, Batch    214, Loss  1.462532, Average Loss  1.447780, Time  0.451788
2021-09-24 09:10:18.516516 : Epoch  5, Batch    215, Loss  1.435803, Average Loss  1.447815, Time  0.439739
2021-09-24 09:10:24.550877 : Epoch  5, Batch    216, Loss  1.439009, Average Loss  1.447804, Time  0.439348
2021-09-24 09:10:30.576194 : Epoch  5, Batch    217, Loss  1.447265, Average Loss  1.447806, Time  0.438911
2021-09-24 09:10:36.608452 : Epoch  5, Batch    218, Loss  1.437607, Average Loss  1.447734, Time  0.439177
2021-09-24 09:10:42.647345 : Epoch  5, Batch    219, Loss  1.447533, Average Loss  1.447783, Time  0.442879
2021-09-24 09:10:48.675297 : Epoch  5, Batch    220, Loss  1.453740, Average Loss  1.447784, Time  0.439675
2021-09-24 09:10:54.721421 : Epoch  5, Batch    221, Loss  1.441885, Average Loss  1.447726, Time  0.458278
2021-09-24 09:11:00.745834 : Epoch  5, Batch    222, Loss  1.449261, Average Loss  1.447799, Time  0.438532
2021-09-24 09:11:06.784402 : Epoch  5, Batch    223, Loss  1.449929, Average Loss  1.447798, Time  0.439008
2021-09-24 09:11:12.818880 : Epoch  5, Batch    224, Loss  1.457423, Average Loss  1.447814, Time  0.441905
2021-09-24 09:11:18.844873 : Epoch  5, Batch    225, Loss  1.443677, Average Loss  1.447806, Time  0.446986
2021-09-24 09:11:24.872569 : Epoch  5, Batch    226, Loss  1.452752, Average Loss  1.447808, Time  0.439473
2021-09-24 09:11:30.909328 : Epoch  5, Batch    227, Loss  1.452240, Average Loss  1.447833, Time  0.438317
2021-09-24 09:11:36.939005 : Epoch  5, Batch    228, Loss  1.453975, Average Loss  1.447889, Time  0.449775
2021-09-24 09:11:42.966133 : Epoch  5, Batch    229, Loss  1.433780, Average Loss  1.447789, Time  0.440399
2021-09-24 09:11:48.986231 : Epoch  5, Batch    230, Loss  1.456052, Average Loss  1.447812, Time  0.442011
2021-09-24 09:11:55.023398 : Epoch  5, Batch    231, Loss  1.442028, Average Loss  1.447785, Time  0.441128
2021-09-24 09:12:01.063460 : Epoch  5, Batch    232, Loss  1.434986, Average Loss  1.447843, Time  0.441301
2021-09-24 09:12:07.079900 : Epoch  5, Batch    233, Loss  1.446305, Average Loss  1.447794, Time  0.439660
2021-09-24 09:12:07.745429 : CheckPoint: Validation Loss  0.00025117, Best Loss  0.00024587
2021-09-24 09:12:13.120018 : Epoch  5, Batch    234, Loss  1.447145, Average Loss  1.447784, Time  0.444144
2021-09-24 09:12:13.730440 : Epoch  5, Batch    189, Loss  1.446704, Average Loss  1.448228, Time  0.443985
2021-09-24 09:12:19.161739 : Epoch  5, Batch    235, Loss  1.461925, Average Loss  1.447832, Time  0.439278
2021-09-24 09:12:19.688314 : Epoch  5, Batch    190, Loss  1.446026, Average Loss  1.448221, Time  0.446348
2021-09-24 09:12:25.196465 : Epoch  5, Batch    236, Loss  1.443669, Average Loss  1.447730, Time  0.451148
2021-09-24 09:12:25.660893 : Epoch  5, Batch    191, Loss  1.435462, Average Loss  1.448161, Time  0.443982
2021-09-24 09:12:31.226849 : Epoch  5, Batch    237, Loss  1.454707, Average Loss  1.447713, Time  0.441000
2021-09-24 09:12:31.624864 : Epoch  5, Batch    192, Loss  1.445246, Average Loss  1.448105, Time  0.457911
2021-09-24 09:12:37.261905 : Epoch  5, Batch    238, Loss  1.446994, Average Loss  1.447694, Time  0.441176
2021-09-24 09:12:37.565423 : Epoch  5, Batch    193, Loss  1.451578, Average Loss  1.448135, Time  0.448996
2021-09-24 09:12:43.292518 : Epoch  5, Batch    239, Loss  1.443045, Average Loss  1.447615, Time  0.440088
2021-09-24 09:12:43.510885 : Epoch  5, Batch    194, Loss  1.458229, Average Loss  1.448181, Time  0.446328
2021-09-24 09:12:49.321324 : Epoch  5, Batch    240, Loss  1.432245, Average Loss  1.447495, Time  0.440624
2021-09-24 09:12:49.456561 : Epoch  5, Batch    195, Loss  1.459145, Average Loss  1.448166, Time  0.444456
2021-09-24 09:12:55.357784 : Epoch  5, Batch    241, Loss  1.444067, Average Loss  1.447482, Time  0.441619
2021-09-24 09:12:55.403532 : Epoch  5, Batch    196, Loss  1.452642, Average Loss  1.448180, Time  0.444513
2021-09-24 09:13:01.343254 : Epoch  5, Batch    197, Loss  1.442880, Average Loss  1.448181, Time  0.445487
2021-09-24 09:13:01.381599 : Epoch  5, Batch    242, Loss  1.454290, Average Loss  1.447574, Time  0.439555
2021-09-24 09:13:07.294667 : Epoch  5, Batch    198, Loss  1.449790, Average Loss  1.448204, Time  0.445580
2021-09-24 09:13:07.427573 : Epoch  5, Batch    243, Loss  1.448211, Average Loss  1.447578, Time  0.453467
2021-09-24 09:13:13.236177 : Epoch  5, Batch    199, Loss  1.453800, Average Loss  1.448252, Time  0.442912
2021-09-24 09:13:13.443362 : Epoch  5, Batch    244, Loss  1.454171, Average Loss  1.447602, Time  0.439953
2021-09-24 09:13:19.217072 : Epoch  5, Batch    200, Loss  1.456509, Average Loss  1.448293, Time  0.460159
2021-09-24 09:13:19.466122 : Epoch  5, Batch    245, Loss  1.451703, Average Loss  1.447628, Time  0.440042
2021-09-24 09:13:25.181150 : Epoch  5, Batch    201, Loss  1.449549, Average Loss  1.448330, Time  0.442945
2021-09-24 09:13:25.489351 : Epoch  5, Batch    246, Loss  1.457552, Average Loss  1.447746, Time  0.440503
2021-09-24 09:13:31.131451 : Epoch  5, Batch    202, Loss  1.427216, Average Loss  1.448254, Time  0.444145
2021-09-24 09:13:31.515618 : Epoch  5, Batch    247, Loss  1.443035, Average Loss  1.447711, Time  0.440654
2021-09-24 09:13:37.075591 : Epoch  5, Batch    203, Loss  1.445254, Average Loss  1.448274, Time  0.443620
2021-09-24 09:13:37.525793 : Epoch  5, Batch    248, Loss  1.453407, Average Loss  1.447721, Time  0.440706
2021-09-24 09:13:43.022359 : Epoch  5, Batch    204, Loss  1.439743, Average Loss  1.448204, Time  0.445126
2021-09-24 09:13:43.545726 : Epoch  5, Batch    249, Loss  1.451960, Average Loss  1.447752, Time  0.441549
2021-09-24 09:13:48.979229 : Epoch  5, Batch    205, Loss  1.456950, Average Loss  1.448222, Time  0.443040
2021-09-24 09:13:49.572852 : Epoch  5, Batch    250, Loss  1.454723, Average Loss  1.447815, Time  0.442827
2021-09-24 09:13:54.955126 : Epoch  5, Batch    206, Loss  1.453421, Average Loss  1.448268, Time  0.452296
2021-09-24 09:13:55.630807 : Epoch  5, Batch    251, Loss  1.457306, Average Loss  1.447888, Time  0.449060
2021-09-24 09:14:00.918370 : Epoch  5, Batch    207, Loss  1.443941, Average Loss  1.448217, Time  0.456784
2021-09-24 09:14:01.661185 : Epoch  5, Batch    252, Loss  1.451678, Average Loss  1.447947, Time  0.441223
2021-09-24 09:14:06.889447 : Epoch  5, Batch    208, Loss  1.441927, Average Loss  1.448216, Time  0.447281
2021-09-24 09:14:07.685700 : Epoch  5, Batch    253, Loss  1.443209, Average Loss  1.447904, Time  0.439538
2021-09-24 09:14:12.842145 : Epoch  5, Batch    209, Loss  1.450955, Average Loss  1.448193, Time  0.445637
2021-09-24 09:14:13.699279 : Epoch  5, Batch    254, Loss  1.447780, Average Loss  1.447925, Time  0.440384
2021-09-24 09:14:18.805396 : Epoch  5, Batch    210, Loss  1.443682, Average Loss  1.448192, Time  0.446379
2021-09-24 09:14:19.730988 : Epoch  5, Batch    255, Loss  1.437975, Average Loss  1.447938, Time  0.439669
2021-09-24 09:14:24.752767 : Epoch  5, Batch    211, Loss  1.449230, Average Loss  1.448235, Time  0.443044
2021-09-24 09:14:25.763093 : Epoch  5, Batch    256, Loss  1.452905, Average Loss  1.448002, Time  0.441341
2021-09-24 09:14:30.708388 : Epoch  5, Batch    212, Loss  1.451689, Average Loss  1.448179, Time  0.443674
2021-09-24 09:14:31.799198 : Epoch  5, Batch    257, Loss  1.443232, Average Loss  1.448021, Time  0.454942
2021-09-24 09:14:36.662836 : Epoch  5, Batch    213, Loss  1.445257, Average Loss  1.448174, Time  0.443552
2021-09-24 09:14:37.783767 : Epoch  5, Batch    258, Loss  1.439676, Average Loss  1.448038, Time  0.446388
2021-09-24 09:14:42.618569 : Epoch  5, Batch    214, Loss  1.444563, Average Loss  1.448113, Time  0.445328
2021-09-24 09:14:43.710201 : Epoch  5, Batch    259, Loss  1.445710, Average Loss  1.447991, Time  0.440493
2021-09-24 09:14:48.092950 : Epoch  5, Batch    260, Loss  1.452067, Average Loss  1.447902, Time  0.340787
2021-09-24 09:14:48.573907 : Epoch  5, Batch    215, Loss  1.446863, Average Loss  1.448164, Time  0.454162
2021-09-24 09:14:54.022187 : Epoch  5, Batch    261, Loss  1.449861, Average Loss  1.447869, Time  0.439943
2021-09-24 09:14:54.524600 : Epoch  5, Batch    216, Loss  1.450431, Average Loss  1.448174, Time  0.444531
2021-09-24 09:14:59.933702 : Epoch  5, Batch    262, Loss  1.436342, Average Loss  1.447782, Time  0.440827
2021-09-24 09:15:00.445618 : Epoch  5, Batch    217, Loss  1.463118, Average Loss  1.448201, Time  0.444021
2021-09-24 09:15:05.859363 : Epoch  5, Batch    263, Loss  1.440914, Average Loss  1.447766, Time  0.440474
2021-09-24 09:15:06.401205 : Epoch  5, Batch    218, Loss  1.441326, Average Loss  1.448146, Time  0.444345
2021-09-24 09:15:11.795851 : Epoch  5, Batch    264, Loss  1.437386, Average Loss  1.447765, Time  0.441464
2021-09-24 09:15:12.356022 : Epoch  5, Batch    219, Loss  1.455629, Average Loss  1.448219, Time  0.445498
2021-09-24 09:15:17.729263 : Epoch  5, Batch    265, Loss  1.457389, Average Loss  1.447743, Time  0.439616
2021-09-24 09:15:18.296218 : Epoch  5, Batch    220, Loss  1.437987, Average Loss  1.448170, Time  0.444679
2021-09-24 09:15:23.682937 : Epoch  5, Batch    266, Loss  1.458047, Average Loss  1.447773, Time  0.452596
2021-09-24 09:15:24.256055 : Epoch  5, Batch    221, Loss  1.451560, Average Loss  1.448180, Time  0.445129
2021-09-24 09:15:29.607401 : Epoch  5, Batch    267, Loss  1.449986, Average Loss  1.447848, Time  0.438964
2021-09-24 09:15:30.202929 : Epoch  5, Batch    222, Loss  1.451726, Average Loss  1.448214, Time  0.443875
2021-09-24 09:15:35.541368 : Epoch  5, Batch    268, Loss  1.449097, Average Loss  1.447833, Time  0.441466
2021-09-24 09:15:36.174469 : Epoch  5, Batch    223, Loss  1.453647, Average Loss  1.448200, Time  0.455782
2021-09-24 09:15:41.460991 : Epoch  5, Batch    269, Loss  1.441284, Average Loss  1.447799, Time  0.438986
2021-09-24 09:15:42.129111 : Epoch  5, Batch    224, Loss  1.452266, Average Loss  1.448267, Time  0.443969
2021-09-24 09:15:47.388188 : Epoch  5, Batch    270, Loss  1.453762, Average Loss  1.447825, Time  0.438893
2021-09-24 09:15:48.087712 : Epoch  5, Batch    225, Loss  1.434625, Average Loss  1.448098, Time  0.446823
2021-09-24 09:15:53.318786 : Epoch  5, Batch    271, Loss  1.459811, Average Loss  1.447901, Time  0.440992
2021-09-24 09:15:54.067596 : Epoch  5, Batch    226, Loss  1.430984, Average Loss  1.448070, Time  0.455974
2021-09-24 09:15:59.251318 : Epoch  5, Batch    272, Loss  1.450380, Average Loss  1.447970, Time  0.441490
2021-09-24 09:16:00.017146 : Epoch  5, Batch    227, Loss  1.459539, Average Loss  1.448096, Time  0.443038
2021-09-24 09:16:05.180356 : Epoch  5, Batch    273, Loss  1.450498, Average Loss  1.447934, Time  0.439215
2021-09-24 09:16:05.962196 : Epoch  5, Batch    228, Loss  1.444480, Average Loss  1.448118, Time  0.443667
2021-09-24 09:16:11.125275 : Epoch  5, Batch    274, Loss  1.445706, Average Loss  1.447843, Time  0.452210
2021-09-24 09:16:11.926024 : Epoch  5, Batch    229, Loss  1.443610, Average Loss  1.448067, Time  0.450880
2021-09-24 09:16:17.042673 : Epoch  5, Batch    275, Loss  1.442700, Average Loss  1.447823, Time  0.439817
2021-09-24 09:16:17.884216 : Epoch  5, Batch    230, Loss  1.438530, Average Loss  1.448100, Time  0.458644
2021-09-24 09:16:22.994887 : Epoch  5, Batch    276, Loss  1.458453, Average Loss  1.447875, Time  0.439080
2021-09-24 09:16:23.859043 : Epoch  5, Batch    231, Loss  1.459004, Average Loss  1.448158, Time  0.443525
2021-09-24 09:16:28.922863 : Epoch  5, Batch    277, Loss  1.450892, Average Loss  1.447897, Time  0.441870
2021-09-24 09:16:29.810109 : Epoch  5, Batch    232, Loss  1.450099, Average Loss  1.448156, Time  0.446019
2021-09-24 09:16:34.839883 : Epoch  5, Batch    278, Loss  1.454059, Average Loss  1.447929, Time  0.438592
2021-09-24 09:16:35.757046 : Epoch  5, Batch    233, Loss  1.451219, Average Loss  1.448163, Time  0.446591
2021-09-24 09:16:40.754595 : Epoch  5, Batch    279, Loss  1.446613, Average Loss  1.447936, Time  0.442534
2021-09-24 09:16:41.704431 : Epoch  5, Batch    234, Loss  1.444345, Average Loss  1.448143, Time  0.442677
2021-09-24 09:16:46.687030 : Epoch  5, Batch    280, Loss  1.451986, Average Loss  1.447923, Time  0.438772
2021-09-24 09:16:47.663193 : Epoch  5, Batch    235, Loss  1.471070, Average Loss  1.448320, Time  0.445144
2021-09-24 09:16:52.612179 : Epoch  5, Batch    281, Loss  1.459870, Average Loss  1.447965, Time  0.438971
2021-09-24 09:16:53.632485 : Epoch  5, Batch    236, Loss  1.455521, Average Loss  1.448414, Time  0.446655
2021-09-24 09:16:58.553524 : Epoch  5, Batch    282, Loss  1.433337, Average Loss  1.447904, Time  0.454719
2021-09-24 09:16:59.570602 : Epoch  5, Batch    237, Loss  1.440819, Average Loss  1.448381, Time  0.446657
2021-09-24 09:17:04.482049 : Epoch  5, Batch    283, Loss  1.440548, Average Loss  1.447885, Time  0.439242
2021-09-24 09:17:05.544683 : Epoch  5, Batch    238, Loss  1.460892, Average Loss  1.448445, Time  0.457431
2021-09-24 09:17:10.412295 : Epoch  5, Batch    284, Loss  1.447414, Average Loss  1.447892, Time  0.439618
2021-09-24 09:17:11.481649 : Epoch  5, Batch    239, Loss  1.450346, Average Loss  1.448483, Time  0.444873
2021-09-24 09:17:16.317906 : Epoch  5, Batch    285, Loss  1.459354, Average Loss  1.447940, Time  0.438679
2021-09-24 09:17:17.413910 : Epoch  5, Batch    240, Loss  1.451805, Average Loss  1.448524, Time  0.444325
2021-09-24 09:17:22.263889 : Epoch  5, Batch    286, Loss  1.448298, Average Loss  1.447949, Time  0.440338
2021-09-24 09:17:23.366169 : Epoch  5, Batch    241, Loss  1.458797, Average Loss  1.448526, Time  0.443044
2021-09-24 09:17:28.190162 : Epoch  5, Batch    287, Loss  1.438856, Average Loss  1.447914, Time  0.439533
2021-09-24 09:17:29.310509 : Epoch  5, Batch    242, Loss  1.457008, Average Loss  1.448525, Time  0.446191
2021-09-24 09:17:35.266516 : Epoch  5, Batch    243, Loss  1.447039, Average Loss  1.448547, Time  0.445953
2021-09-24 09:17:39.647132 : Epoch  5, Batch    288, Loss  1.456734, Average Loss  1.447940, Time  0.440078
2021-09-24 09:17:41.233832 : Epoch  5, Batch    244, Loss  1.443384, Average Loss  1.448558, Time  0.445354
2021-09-24 09:17:47.197854 : Epoch  5, Batch    245, Loss  1.444750, Average Loss  1.448613, Time  0.444084
2021-09-24 09:17:53.140579 : Epoch  5, Batch    246, Loss  1.445032, Average Loss  1.448671, Time  0.457535
2021-09-24 09:17:59.088772 : Epoch  5, Batch    247, Loss  1.448151, Average Loss  1.448649, Time  0.443457
2021-09-24 09:18:05.049314 : Epoch  5, Batch    248, Loss  1.437401, Average Loss  1.448622, Time  0.442639
2021-09-24 09:18:10.991803 : Epoch  5, Batch    249, Loss  1.460329, Average Loss  1.448757, Time  0.445060
2021-09-24 09:18:16.945884 : Epoch  5, Batch    250, Loss  1.462295, Average Loss  1.448754, Time  0.445119
2021-09-24 09:18:22.890377 : Epoch  5, Batch    251, Loss  1.451981, Average Loss  1.448811, Time  0.445925
2021-09-24 09:18:28.834532 : Epoch  5, Batch    252, Loss  1.453801, Average Loss  1.448780, Time  0.443672
2021-09-24 09:18:34.802613 : Epoch  5, Batch    253, Loss  1.443635, Average Loss  1.448753, Time  0.459821
2021-09-24 09:18:40.751916 : Epoch  5, Batch    254, Loss  1.447298, Average Loss  1.448731, Time  0.443269
2021-09-24 09:18:46.708545 : Epoch  5, Batch    255, Loss  1.453350, Average Loss  1.448765, Time  0.449952
2021-09-24 09:18:52.670383 : Epoch  5, Batch    256, Loss  1.438383, Average Loss  1.448706, Time  0.443449
2021-09-24 09:18:58.635269 : Epoch  5, Batch    257, Loss  1.450115, Average Loss  1.448748, Time  0.446366
2021-09-24 09:19:04.581508 : Epoch  5, Batch    258, Loss  1.456064, Average Loss  1.448776, Time  0.443535
2021-09-24 09:19:10.516747 : Epoch  5, Batch    259, Loss  1.437853, Average Loss  1.448713, Time  0.443340
2021-09-24 09:19:16.462900 : Epoch  5, Batch    260, Loss  1.439314, Average Loss  1.448644, Time  0.443922
2021-09-24 09:19:22.423079 : Epoch  5, Batch    261, Loss  1.447149, Average Loss  1.448635, Time  0.463839
2021-09-24 09:19:28.364421 : Epoch  5, Batch    262, Loss  1.452107, Average Loss  1.448613, Time  0.444133
2021-09-24 09:19:34.300481 : Epoch  5, Batch    263, Loss  1.448585, Average Loss  1.448591, Time  0.447360
2021-09-24 09:19:40.239785 : Epoch  5, Batch    264, Loss  1.440979, Average Loss  1.448612, Time  0.449244
2021-09-24 09:19:46.195770 : Epoch  5, Batch    265, Loss  1.459370, Average Loss  1.448645, Time  0.444156
2021-09-24 09:19:52.145855 : Epoch  5, Batch    266, Loss  1.448524, Average Loss  1.448642, Time  0.443528
2021-09-24 09:19:58.090126 : Epoch  5, Batch    267, Loss  1.449608, Average Loss  1.448650, Time  0.445493
2021-09-24 09:20:04.034659 : Epoch  5, Batch    268, Loss  1.460899, Average Loss  1.448767, Time  0.443739
2021-09-24 09:20:09.979206 : Epoch  5, Batch    269, Loss  1.449863, Average Loss  1.448761, Time  0.454345
2021-09-24 09:20:15.927555 : Epoch  5, Batch    270, Loss  1.447286, Average Loss  1.448840, Time  0.447049
2021-09-24 09:20:21.871731 : Epoch  5, Batch    271, Loss  1.442989, Average Loss  1.448781, Time  0.448220
2021-09-24 09:20:27.815870 : Epoch  5, Batch    272, Loss  1.453452, Average Loss  1.448801, Time  0.446785
2021-09-24 09:20:33.759862 : Epoch  5, Batch    273, Loss  1.451173, Average Loss  1.448805, Time  0.446339
2021-09-24 09:20:39.683961 : Epoch  5, Batch    274, Loss  1.464491, Average Loss  1.448863, Time  0.445647
2021-09-24 09:20:45.618055 : Epoch  5, Batch    275, Loss  1.437285, Average Loss  1.448846, Time  0.442935
2021-09-24 09:20:51.555670 : Epoch  5, Batch    276, Loss  1.445781, Average Loss  1.448772, Time  0.444132
2021-09-24 09:20:57.500959 : Epoch  5, Batch    277, Loss  1.442613, Average Loss  1.448690, Time  0.457836
2021-09-24 09:21:03.444881 : Epoch  5, Batch    278, Loss  1.444313, Average Loss  1.448617, Time  0.446487
2021-09-24 09:21:09.387343 : Epoch  5, Batch    279, Loss  1.463237, Average Loss  1.448640, Time  0.445660
2021-09-24 09:21:15.320768 : Epoch  5, Batch    280, Loss  1.447315, Average Loss  1.448646, Time  0.444161
2021-09-24 09:21:21.254521 : Epoch  5, Batch    281, Loss  1.453863, Average Loss  1.448653, Time  0.443788
2021-09-24 09:21:27.202512 : Epoch  5, Batch    282, Loss  1.442112, Average Loss  1.448635, Time  0.449453
2021-09-24 09:21:33.151792 : Epoch  5, Batch    283, Loss  1.459850, Average Loss  1.448745, Time  0.445869
2021-09-24 09:21:39.091432 : Epoch  5, Batch    284, Loss  1.429763, Average Loss  1.448666, Time  0.445312
2021-09-24 09:21:45.033473 : Epoch  5, Batch    285, Loss  1.447193, Average Loss  1.448661, Time  0.454004
2021-09-24 09:21:50.966651 : Epoch  5, Batch    286, Loss  1.449889, Average Loss  1.448658, Time  0.445427
2021-09-24 09:21:56.907953 : Epoch  5, Batch    287, Loss  1.439113, Average Loss  1.448565, Time  0.443226
2021-09-24 09:22:08.469469 : Epoch  5, Batch    288, Loss  1.439337, Average Loss  1.448529, Time  0.445183
2021-09-24 09:22:16.861835 : CheckPoint: Validation Loss  0.00025380, Best Loss  0.00024726
2021-09-24 09:22:22.794022 : Epoch  5, Batch    289, Loss  1.429509, Average Loss  1.447854, Time  0.453584
2021-09-24 09:22:28.714265 : Epoch  5, Batch    290, Loss  1.457031, Average Loss  1.447931, Time  0.438731
2021-09-24 09:22:34.625314 : Epoch  5, Batch    291, Loss  1.454058, Average Loss  1.447941, Time  0.439556
2021-09-24 09:22:40.556262 : Epoch  5, Batch    292, Loss  1.465556, Average Loss  1.448023, Time  0.439764
2021-09-24 09:22:46.474673 : Epoch  5, Batch    293, Loss  1.455235, Average Loss  1.448024, Time  0.438539
2021-09-24 09:22:52.387970 : Epoch  5, Batch    294, Loss  1.440599, Average Loss  1.447934, Time  0.438715
2021-09-24 09:22:58.319586 : Epoch  5, Batch    295, Loss  1.438507, Average Loss  1.447876, Time  0.442003
2021-09-24 09:23:04.267599 : Epoch  5, Batch    296, Loss  1.432452, Average Loss  1.447783, Time  0.457166
2021-09-24 09:23:10.203219 : Epoch  5, Batch    297, Loss  1.433339, Average Loss  1.447713, Time  0.439428
2021-09-24 09:23:16.132146 : Epoch  5, Batch    298, Loss  1.463712, Average Loss  1.447816, Time  0.443291
2021-09-24 09:23:22.051599 : Epoch  5, Batch    299, Loss  1.445093, Average Loss  1.447788, Time  0.438843
2021-09-24 09:23:27.970365 : Epoch  5, Batch    300, Loss  1.451782, Average Loss  1.447767, Time  0.439326
2021-09-24 09:23:33.903546 : Epoch  5, Batch    301, Loss  1.457503, Average Loss  1.447799, Time  0.438942
2021-09-24 09:23:39.838798 : Epoch  5, Batch    302, Loss  1.440323, Average Loss  1.447733, Time  0.450402
2021-09-24 09:23:45.778845 : Epoch  5, Batch    303, Loss  1.455793, Average Loss  1.447777, Time  0.438866
2021-09-24 09:23:51.744673 : Epoch  5, Batch    304, Loss  1.447279, Average Loss  1.447802, Time  0.454641
2021-09-24 09:23:57.678902 : Epoch  5, Batch    305, Loss  1.449419, Average Loss  1.447805, Time  0.439374
2021-09-24 09:24:03.606163 : Epoch  5, Batch    306, Loss  1.449183, Average Loss  1.447836, Time  0.438943
2021-09-24 09:24:09.525730 : Epoch  5, Batch    307, Loss  1.444234, Average Loss  1.447780, Time  0.440032
2021-09-24 09:24:15.458514 : Epoch  5, Batch    308, Loss  1.436943, Average Loss  1.447751, Time  0.440071
2021-09-24 09:24:21.390885 : Epoch  5, Batch    309, Loss  1.442958, Average Loss  1.447684, Time  0.439432
2021-09-24 09:24:27.327707 : Epoch  5, Batch    310, Loss  1.435799, Average Loss  1.447709, Time  0.438854
2021-09-24 09:24:33.237318 : Epoch  5, Batch    311, Loss  1.444028, Average Loss  1.447710, Time  0.438843
2021-09-24 09:24:39.178214 : Epoch  5, Batch    312, Loss  1.439085, Average Loss  1.447656, Time  0.451888
2021-09-24 09:24:45.105464 : Epoch  5, Batch    313, Loss  1.450569, Average Loss  1.447617, Time  0.441135
2021-09-24 09:24:51.119004 : Epoch  5, Batch    314, Loss  1.445761, Average Loss  1.447621, Time  0.439223
2021-09-24 09:24:57.055870 : Epoch  5, Batch    315, Loss  1.449640, Average Loss  1.447617, Time  0.439677
2021-09-24 09:25:02.982528 : Epoch  5, Batch    316, Loss  1.440523, Average Loss  1.447644, Time  0.439730
2021-09-24 09:25:08.917518 : Epoch  5, Batch    317, Loss  1.441258, Average Loss  1.447603, Time  0.439671
2021-09-24 09:25:14.851267 : Epoch  5, Batch    318, Loss  1.441013, Average Loss  1.447568, Time  0.439338
2021-09-24 09:25:20.781979 : Epoch  5, Batch    319, Loss  1.459192, Average Loss  1.447623, Time  0.438793
2021-09-24 09:25:26.714124 : Epoch  5, Batch    320, Loss  1.452601, Average Loss  1.447669, Time  0.448958
2021-09-24 09:25:32.653202 : Epoch  5, Batch    321, Loss  1.446866, Average Loss  1.447672, Time  0.439141
2021-09-24 09:25:38.589651 : Epoch  5, Batch    322, Loss  1.449230, Average Loss  1.447653, Time  0.439647
2021-09-24 09:25:44.525564 : Epoch  5, Batch    323, Loss  1.439085, Average Loss  1.447623, Time  0.438988
2021-09-24 09:25:50.474818 : Epoch  5, Batch    324, Loss  1.460562, Average Loss  1.447665, Time  0.443820
2021-09-24 09:25:56.403438 : Epoch  5, Batch    325, Loss  1.441986, Average Loss  1.447740, Time  0.439010
2021-09-24 09:26:02.325400 : Epoch  5, Batch    326, Loss  1.443360, Average Loss  1.447742, Time  0.438677
2021-09-24 09:26:08.278678 : Epoch  5, Batch    327, Loss  1.453176, Average Loss  1.447729, Time  0.450188
2021-09-24 09:26:14.218894 : Epoch  5, Batch    328, Loss  1.450369, Average Loss  1.447838, Time  0.441919
2021-09-24 09:26:20.147559 : Epoch  5, Batch    329, Loss  1.444199, Average Loss  1.447795, Time  0.439362
2021-09-24 09:26:26.060519 : Epoch  5, Batch    330, Loss  1.452845, Average Loss  1.447865, Time  0.439481
2021-09-24 09:26:31.988409 : Epoch  5, Batch    331, Loss  1.459104, Average Loss  1.447924, Time  0.438597
2021-09-24 09:26:37.903907 : Epoch  5, Batch    332, Loss  1.455748, Average Loss  1.448014, Time  0.438635
2021-09-24 09:26:43.843150 : Epoch  5, Batch    333, Loss  1.444193, Average Loss  1.447978, Time  0.440213
2021-09-24 09:26:47.114516 : CheckPoint: Validation Loss  0.00025541, Best Loss  0.00024587
2021-09-24 09:26:49.765803 : Epoch  5, Batch    334, Loss  1.450680, Average Loss  1.448034, Time  0.439139
2021-09-24 09:26:53.104013 : Epoch  5, Batch    289, Loss  1.432799, Average Loss  1.448466, Time  0.448908
2021-09-24 09:26:55.700545 : Epoch  5, Batch    335, Loss  1.441832, Average Loss  1.448036, Time  0.453289
2021-09-24 09:26:59.045092 : Epoch  5, Batch    290, Loss  1.444878, Average Loss  1.448433, Time  0.447125
2021-09-24 09:27:01.619306 : Epoch  5, Batch    336, Loss  1.458350, Average Loss  1.448113, Time  0.442558
2021-09-24 09:27:05.009230 : Epoch  5, Batch    291, Loss  1.444332, Average Loss  1.448430, Time  0.459339
2021-09-24 09:27:07.549110 : Epoch  5, Batch    337, Loss  1.431982, Average Loss  1.448090, Time  0.440750
2021-09-24 09:27:10.940010 : Epoch  5, Batch    292, Loss  1.451047, Average Loss  1.448500, Time  0.444079
2021-09-24 09:27:13.477267 : Epoch  5, Batch    338, Loss  1.463789, Average Loss  1.448095, Time  0.438474
2021-09-24 09:27:16.884350 : Epoch  5, Batch    293, Loss  1.450732, Average Loss  1.448498, Time  0.444061
2021-09-24 09:27:19.414905 : Epoch  5, Batch    339, Loss  1.450017, Average Loss  1.448195, Time  0.441329
2021-09-24 09:27:22.839352 : Epoch  5, Batch    294, Loss  1.439494, Average Loss  1.448531, Time  0.447022
2021-09-24 09:27:25.342156 : Epoch  5, Batch    340, Loss  1.449710, Average Loss  1.448205, Time  0.439476
2021-09-24 09:27:28.794868 : Epoch  5, Batch    295, Loss  1.445198, Average Loss  1.448517, Time  0.443616
2021-09-24 09:27:31.270388 : Epoch  5, Batch    341, Loss  1.442048, Average Loss  1.448190, Time  0.441097
2021-09-24 09:27:34.745564 : Epoch  5, Batch    296, Loss  1.451243, Average Loss  1.448529, Time  0.443727
2021-09-24 09:27:37.210893 : Epoch  5, Batch    342, Loss  1.447690, Average Loss  1.448211, Time  0.442192
2021-09-24 09:27:40.688764 : Epoch  5, Batch    297, Loss  1.442918, Average Loss  1.448500, Time  0.442865
2021-09-24 09:27:43.139410 : Epoch  5, Batch    343, Loss  1.462056, Average Loss  1.448319, Time  0.453875
2021-09-24 09:27:46.660494 : Epoch  5, Batch    298, Loss  1.457464, Average Loss  1.448483, Time  0.444426
2021-09-24 09:27:49.080558 : Epoch  5, Batch    344, Loss  1.447165, Average Loss  1.448337, Time  0.440665
2021-09-24 09:27:52.650184 : Epoch  5, Batch    299, Loss  1.456678, Average Loss  1.448554, Time  0.457335
2021-09-24 09:27:55.011946 : Epoch  5, Batch    345, Loss  1.444479, Average Loss  1.448366, Time  0.439527
2021-09-24 09:27:58.611055 : Epoch  5, Batch    300, Loss  1.457355, Average Loss  1.448573, Time  0.444568
2021-09-24 09:28:00.947747 : Epoch  5, Batch    346, Loss  1.449587, Average Loss  1.448339, Time  0.441862
2021-09-24 09:28:04.583624 : Epoch  5, Batch    301, Loss  1.448467, Average Loss  1.448601, Time  0.446473
2021-09-24 09:28:06.877244 : Epoch  5, Batch    347, Loss  1.445679, Average Loss  1.448324, Time  0.438330
2021-09-24 09:28:10.546225 : Epoch  5, Batch    302, Loss  1.447666, Average Loss  1.448565, Time  0.442752
2021-09-24 09:28:12.806425 : Epoch  5, Batch    348, Loss  1.444318, Average Loss  1.448324, Time  0.440056
2021-09-24 09:28:16.503102 : Epoch  5, Batch    303, Loss  1.441728, Average Loss  1.448526, Time  0.443883
2021-09-24 09:28:18.732938 : Epoch  5, Batch    349, Loss  1.438316, Average Loss  1.448280, Time  0.440782
2021-09-24 09:28:22.439752 : Epoch  5, Batch    304, Loss  1.454610, Average Loss  1.448611, Time  0.443421
2021-09-24 09:28:24.649198 : Epoch  5, Batch    350, Loss  1.444081, Average Loss  1.448206, Time  0.439799
2021-09-24 09:28:28.394057 : Epoch  5, Batch    305, Loss  1.448134, Average Loss  1.448622, Time  0.444576
2021-09-24 09:28:30.600168 : Epoch  5, Batch    351, Loss  1.453758, Average Loss  1.448301, Time  0.454170
2021-09-24 09:28:34.343645 : Epoch  5, Batch    306, Loss  1.451836, Average Loss  1.448653, Time  0.443279
2021-09-24 09:28:36.527453 : Epoch  5, Batch    352, Loss  1.448728, Average Loss  1.448340, Time  0.439194
2021-09-24 09:28:40.308560 : Epoch  5, Batch    307, Loss  1.442199, Average Loss  1.448599, Time  0.456951
2021-09-24 09:28:42.441717 : Epoch  5, Batch    353, Loss  1.444083, Average Loss  1.448301, Time  0.439299
2021-09-24 09:28:46.266322 : Epoch  5, Batch    308, Loss  1.460998, Average Loss  1.448671, Time  0.445450
2021-09-24 09:28:48.387067 : Epoch  5, Batch    354, Loss  1.460771, Average Loss  1.448337, Time  0.439208
2021-09-24 09:28:52.223773 : Epoch  5, Batch    309, Loss  1.438235, Average Loss  1.448622, Time  0.443105
2021-09-24 09:28:54.320846 : Epoch  5, Batch    355, Loss  1.451947, Average Loss  1.448323, Time  0.438655
2021-09-24 09:28:58.170655 : Epoch  5, Batch    310, Loss  1.459310, Average Loss  1.448708, Time  0.444380
2021-09-24 09:29:00.258846 : Epoch  5, Batch    356, Loss  1.444121, Average Loss  1.448307, Time  0.438964
2021-09-24 09:29:04.132199 : Epoch  5, Batch    311, Loss  1.441582, Average Loss  1.448609, Time  0.443550
2021-09-24 09:29:06.193466 : Epoch  5, Batch    357, Loss  1.444393, Average Loss  1.448263, Time  0.438853
2021-09-24 09:29:10.089347 : Epoch  5, Batch    312, Loss  1.451817, Average Loss  1.448581, Time  0.445611
2021-09-24 09:29:12.113963 : Epoch  5, Batch    358, Loss  1.453858, Average Loss  1.448286, Time  0.438607
2021-09-24 09:29:16.052896 : Epoch  5, Batch    313, Loss  1.457164, Average Loss  1.448606, Time  0.447248
2021-09-24 09:29:18.050888 : Epoch  5, Batch    359, Loss  1.442907, Average Loss  1.448202, Time  0.455858
2021-09-24 09:29:22.039137 : Epoch  5, Batch    314, Loss  1.451528, Average Loss  1.448622, Time  0.460563
2021-09-24 09:29:23.990785 : Epoch  5, Batch    360, Loss  1.450660, Average Loss  1.448166, Time  0.438872
2021-09-24 09:29:27.985755 : Epoch  5, Batch    315, Loss  1.455848, Average Loss  1.448690, Time  0.443608
2021-09-24 09:29:29.930604 : Epoch  5, Batch    361, Loss  1.437817, Average Loss  1.448079, Time  0.438920
2021-09-24 09:29:33.944892 : Epoch  5, Batch    316, Loss  1.453745, Average Loss  1.448672, Time  0.444690
2021-09-24 09:29:35.866923 : Epoch  5, Batch    362, Loss  1.450452, Average Loss  1.448086, Time  0.445711
2021-09-24 09:29:39.903000 : Epoch  5, Batch    317, Loss  1.450266, Average Loss  1.448742, Time  0.446239
2021-09-24 09:29:41.794753 : Epoch  5, Batch    363, Loss  1.447719, Average Loss  1.448071, Time  0.439991
2021-09-24 09:29:45.843390 : Epoch  5, Batch    318, Loss  1.446113, Average Loss  1.448779, Time  0.443929
2021-09-24 09:29:47.727245 : Epoch  5, Batch    364, Loss  1.441700, Average Loss  1.448035, Time  0.438245
2021-09-24 09:29:51.787765 : Epoch  5, Batch    319, Loss  1.453970, Average Loss  1.448768, Time  0.443959
2021-09-24 09:29:53.636411 : Epoch  5, Batch    365, Loss  1.455640, Average Loss  1.448149, Time  0.437977
2021-09-24 09:29:57.729434 : Epoch  5, Batch    320, Loss  1.450563, Average Loss  1.448822, Time  0.442557
2021-09-24 09:29:59.546609 : Epoch  5, Batch    366, Loss  1.442226, Average Loss  1.448111, Time  0.438854
2021-09-24 09:30:03.675881 : Epoch  5, Batch    321, Loss  1.440772, Average Loss  1.448863, Time  0.442957
2021-09-24 09:30:05.487879 : Epoch  5, Batch    367, Loss  1.453726, Average Loss  1.448095, Time  0.447883
2021-09-24 09:30:09.637563 : Epoch  5, Batch    322, Loss  1.446226, Average Loss  1.448810, Time  0.458880
2021-09-24 09:30:11.409598 : Epoch  5, Batch    368, Loss  1.451365, Average Loss  1.448112, Time  0.439219
2021-09-24 09:30:15.598509 : Epoch  5, Batch    323, Loss  1.453659, Average Loss  1.448747, Time  0.445397
2021-09-24 09:30:17.332859 : Epoch  5, Batch    369, Loss  1.430284, Average Loss  1.448060, Time  0.439404
2021-09-24 09:30:21.548600 : Epoch  5, Batch    324, Loss  1.451385, Average Loss  1.448784, Time  0.443052
2021-09-24 09:30:23.253972 : Epoch  5, Batch    370, Loss  1.446589, Average Loss  1.448040, Time  0.440311
2021-09-24 09:30:27.492086 : Epoch  5, Batch    325, Loss  1.448028, Average Loss  1.448718, Time  0.443493
2021-09-24 09:30:29.170506 : Epoch  5, Batch    371, Loss  1.439816, Average Loss  1.448021, Time  0.438824
2021-09-24 09:30:33.461325 : Epoch  5, Batch    326, Loss  1.447542, Average Loss  1.448722, Time  0.445542
2021-09-24 09:30:35.125792 : Epoch  5, Batch    372, Loss  1.448420, Average Loss  1.447986, Time  0.443496
2021-09-24 09:30:39.407598 : Epoch  5, Batch    327, Loss  1.455832, Average Loss  1.448787, Time  0.443293
2021-09-24 09:30:41.049549 : Epoch  5, Batch    373, Loss  1.447992, Average Loss  1.447924, Time  0.443533
2021-09-24 09:30:45.355872 : Epoch  5, Batch    328, Loss  1.436260, Average Loss  1.448705, Time  0.442667
2021-09-24 09:30:46.976260 : Epoch  5, Batch    374, Loss  1.440956, Average Loss  1.447916, Time  0.439689
2021-09-24 09:30:51.311047 : Epoch  5, Batch    329, Loss  1.439088, Average Loss  1.448650, Time  0.444816
2021-09-24 09:30:52.922491 : Epoch  5, Batch    375, Loss  1.454871, Average Loss  1.447985, Time  0.455983
2021-09-24 09:30:57.286090 : Epoch  5, Batch    330, Loss  1.452148, Average Loss  1.448621, Time  0.460212
2021-09-24 09:30:58.854317 : Epoch  5, Batch    376, Loss  1.440009, Average Loss  1.447975, Time  0.439222
2021-09-24 09:31:03.245882 : Epoch  5, Batch    331, Loss  1.444825, Average Loss  1.448623, Time  0.445293
2021-09-24 09:31:04.788477 : Epoch  5, Batch    377, Loss  1.443914, Average Loss  1.447894, Time  0.444105
2021-09-24 09:31:09.199231 : Epoch  5, Batch    332, Loss  1.449258, Average Loss  1.448672, Time  0.444205
2021-09-24 09:31:10.714070 : Epoch  5, Batch    378, Loss  1.458748, Average Loss  1.447934, Time  0.441329
2021-09-24 09:31:15.136877 : Epoch  5, Batch    333, Loss  1.449989, Average Loss  1.448670, Time  0.442709
2021-09-24 09:31:16.633879 : Epoch  5, Batch    379, Loss  1.441765, Average Loss  1.447904, Time  0.439212
2021-09-24 09:31:21.105931 : Epoch  5, Batch    334, Loss  1.449610, Average Loss  1.448703, Time  0.444459
2021-09-24 09:31:22.555408 : Epoch  5, Batch    380, Loss  1.446574, Average Loss  1.447925, Time  0.439322
2021-09-24 09:31:27.058670 : Epoch  5, Batch    335, Loss  1.436889, Average Loss  1.448670, Time  0.443355
2021-09-24 09:31:28.474300 : Epoch  5, Batch    381, Loss  1.448018, Average Loss  1.447914, Time  0.440030
2021-09-24 09:31:33.000515 : Epoch  5, Batch    336, Loss  1.448325, Average Loss  1.448753, Time  0.444049
2021-09-24 09:31:34.415537 : Epoch  5, Batch    382, Loss  1.462084, Average Loss  1.448035, Time  0.444756
2021-09-24 09:31:38.967667 : Epoch  5, Batch    337, Loss  1.446372, Average Loss  1.448796, Time  0.456932
2021-09-24 09:31:40.338612 : Epoch  5, Batch    383, Loss  1.442610, Average Loss  1.448119, Time  0.441892
2021-09-24 09:31:44.950115 : Epoch  5, Batch    338, Loss  1.447204, Average Loss  1.448704, Time  0.443665
2021-09-24 09:31:46.257408 : Epoch  5, Batch    384, Loss  1.454836, Average Loss  1.448115, Time  0.440861
2021-09-24 09:31:50.885047 : Epoch  5, Batch    339, Loss  1.454890, Average Loss  1.448727, Time  0.445363
2021-09-24 09:31:52.185455 : Epoch  5, Batch    385, Loss  1.449828, Average Loss  1.448084, Time  0.438836
2021-09-24 09:31:56.821935 : Epoch  5, Batch    340, Loss  1.450745, Average Loss  1.448782, Time  0.446346
2021-09-24 09:31:58.122368 : Epoch  5, Batch    386, Loss  1.452864, Average Loss  1.448112, Time  0.440767
2021-09-24 09:32:02.773885 : Epoch  5, Batch    341, Loss  1.450614, Average Loss  1.448753, Time  0.444357
2021-09-24 09:32:04.047094 : Epoch  5, Batch    387, Loss  1.442169, Average Loss  1.448090, Time  0.438401
2021-09-24 09:32:08.717884 : Epoch  5, Batch    342, Loss  1.439370, Average Loss  1.448685, Time  0.446626
2021-09-24 09:32:09.974850 : Epoch  5, Batch    388, Loss  1.450381, Average Loss  1.448116, Time  0.438696
2021-09-24 09:32:14.678774 : Epoch  5, Batch    343, Loss  1.439455, Average Loss  1.448722, Time  0.445735
2021-09-24 09:32:20.616228 : Epoch  5, Batch    344, Loss  1.428797, Average Loss  1.448587, Time  0.445126
2021-09-24 09:32:26.570402 : Epoch  5, Batch    345, Loss  1.449378, Average Loss  1.448590, Time  0.457684
2021-09-24 09:32:32.501029 : Epoch  5, Batch    346, Loss  1.431814, Average Loss  1.448501, Time  0.445855
2021-09-24 09:32:38.457069 : Epoch  5, Batch    347, Loss  1.459976, Average Loss  1.448611, Time  0.444094
2021-09-24 09:32:44.407112 : Epoch  5, Batch    348, Loss  1.442767, Average Loss  1.448580, Time  0.444456
2021-09-24 09:32:50.343727 : Epoch  5, Batch    349, Loss  1.454441, Average Loss  1.448588, Time  0.443673
2021-09-24 09:32:56.288805 : Epoch  5, Batch    350, Loss  1.443401, Average Loss  1.448510, Time  0.444355
2021-09-24 09:33:02.239354 : Epoch  5, Batch    351, Loss  1.455361, Average Loss  1.448642, Time  0.443602
2021-09-24 09:33:08.186121 : Epoch  5, Batch    352, Loss  1.449345, Average Loss  1.448630, Time  0.443321
2021-09-24 09:33:14.165534 : Epoch  5, Batch    353, Loss  1.461064, Average Loss  1.448717, Time  0.459184
2021-09-24 09:33:20.132294 : Epoch  5, Batch    354, Loss  1.451255, Average Loss  1.448763, Time  0.445411
2021-09-24 09:33:26.095922 : Epoch  5, Batch    355, Loss  1.437230, Average Loss  1.448674, Time  0.450062
2021-09-24 09:33:32.049702 : Epoch  5, Batch    356, Loss  1.451641, Average Loss  1.448606, Time  0.446454
2021-09-24 09:33:38.009087 : Epoch  5, Batch    357, Loss  1.451715, Average Loss  1.448601, Time  0.445412
2021-09-24 09:33:43.970011 : Epoch  5, Batch    358, Loss  1.443506, Average Loss  1.448593, Time  0.444218
2021-09-24 09:33:49.921224 : Epoch  5, Batch    359, Loss  1.440785, Average Loss  1.448573, Time  0.443811
2021-09-24 09:33:55.883424 : Epoch  5, Batch    360, Loss  1.456186, Average Loss  1.448636, Time  0.454504
2021-09-24 09:34:01.838219 : Epoch  5, Batch    361, Loss  1.452758, Average Loss  1.448694, Time  0.447433
2021-09-24 09:34:07.788763 : Epoch  5, Batch    362, Loss  1.444374, Average Loss  1.448698, Time  0.451242
2021-09-24 09:34:13.737821 : Epoch  5, Batch    363, Loss  1.447545, Average Loss  1.448776, Time  0.442849
2021-09-24 09:34:19.705609 : Epoch  5, Batch    364, Loss  1.451452, Average Loss  1.448799, Time  0.444718
2021-09-24 09:34:25.650652 : Epoch  5, Batch    365, Loss  1.458336, Average Loss  1.448835, Time  0.445825
2021-09-24 09:34:31.589879 : Epoch  5, Batch    366, Loss  1.437368, Average Loss  1.448803, Time  0.444385
2021-09-24 09:34:37.534609 : Epoch  5, Batch    367, Loss  1.454647, Average Loss  1.448877, Time  0.444489
2021-09-24 09:34:43.505664 : Epoch  5, Batch    368, Loss  1.437302, Average Loss  1.448775, Time  0.460709
2021-09-24 09:34:49.442245 : Epoch  5, Batch    369, Loss  1.445540, Average Loss  1.448724, Time  0.442979
2021-09-24 09:34:55.393994 : Epoch  5, Batch    370, Loss  1.442857, Average Loss  1.448665, Time  0.443655
2021-09-24 09:35:01.343078 : Epoch  5, Batch    371, Loss  1.439568, Average Loss  1.448569, Time  0.445550
2021-09-24 09:35:07.286570 : Epoch  5, Batch    372, Loss  1.452165, Average Loss  1.448614, Time  0.448981
2021-09-24 09:35:13.228240 : Epoch  5, Batch    373, Loss  1.452908, Average Loss  1.448649, Time  0.443644
2021-09-24 09:35:19.172684 : Epoch  5, Batch    374, Loss  1.453566, Average Loss  1.448647, Time  0.444259
2021-09-24 09:35:25.138389 : Epoch  5, Batch    375, Loss  1.445024, Average Loss  1.448647, Time  0.444184
2021-09-24 09:35:31.098051 : Epoch  5, Batch    376, Loss  1.450948, Average Loss  1.448580, Time  0.456723
2021-09-24 09:35:37.049636 : Epoch  5, Batch    377, Loss  1.450956, Average Loss  1.448620, Time  0.443694
2021-09-24 09:35:42.998690 : Epoch  5, Batch    378, Loss  1.444784, Average Loss  1.448539, Time  0.443349
2021-09-24 09:35:48.964418 : Epoch  5, Batch    379, Loss  1.455514, Average Loss  1.448553, Time  0.445453
2021-09-24 09:35:54.913577 : Epoch  5, Batch    380, Loss  1.445504, Average Loss  1.448527, Time  0.444332
2021-09-24 09:36:00.848382 : Epoch  5, Batch    381, Loss  1.459455, Average Loss  1.448560, Time  0.443885
2021-09-24 09:36:06.785226 : Epoch  5, Batch    382, Loss  1.446841, Average Loss  1.448524, Time  0.443568
2021-09-24 09:36:12.753286 : Epoch  5, Batch    383, Loss  1.454235, Average Loss  1.448597, Time  0.455257
2021-09-24 09:36:18.714375 : Epoch  5, Batch    384, Loss  1.436600, Average Loss  1.448516, Time  0.443899
2021-09-24 09:36:24.655798 : Epoch  5, Batch    385, Loss  1.453207, Average Loss  1.448489, Time  0.443057
2021-09-24 09:36:30.600049 : Epoch  5, Batch    386, Loss  1.447329, Average Loss  1.448479, Time  0.443452
2021-09-24 09:36:36.541852 : Epoch  5, Batch    387, Loss  1.449680, Average Loss  1.448490, Time  0.443831
2021-09-24 09:36:42.487382 : Epoch  5, Batch    388, Loss  1.438420, Average Loss  1.448414, Time  0.443413
2021-09-24 09:36:47.997359 : CheckPoint: Validation Loss  0.00025002, Best Loss  0.00024726
2021-09-24 09:36:53.928912 : Epoch  5, Batch    389, Loss  1.442797, Average Loss  1.448082, Time  0.441334
2021-09-24 09:36:59.855487 : Epoch  5, Batch    390, Loss  1.442181, Average Loss  1.447993, Time  0.453526
2021-09-24 09:37:05.774191 : Epoch  5, Batch    391, Loss  1.443672, Average Loss  1.447982, Time  0.439285
2021-09-24 09:37:11.684836 : Epoch  5, Batch    392, Loss  1.458230, Average Loss  1.448052, Time  0.438682
2021-09-24 09:37:17.605651 : Epoch  5, Batch    393, Loss  1.438029, Average Loss  1.448033, Time  0.438686
2021-09-24 09:37:23.524521 : Epoch  5, Batch    394, Loss  1.442699, Average Loss  1.448011, Time  0.439197
2021-09-24 09:37:29.448843 : Epoch  5, Batch    395, Loss  1.449303, Average Loss  1.448055, Time  0.439454
2021-09-24 09:37:35.372207 : Epoch  5, Batch    396, Loss  1.449174, Average Loss  1.448052, Time  0.444580
2021-09-24 09:37:41.293906 : Epoch  5, Batch    397, Loss  1.443838, Average Loss  1.448014, Time  0.453698
2021-09-24 09:37:47.201146 : Epoch  5, Batch    398, Loss  1.450294, Average Loss  1.448031, Time  0.440231
2021-09-24 09:37:53.132663 : Epoch  5, Batch    399, Loss  1.454143, Average Loss  1.448038, Time  0.441610
2021-09-24 09:37:59.057536 : Epoch  5, Batch    400, Loss  1.445147, Average Loss  1.447984, Time  0.438210
2021-09-24 09:38:04.973351 : Epoch  5, Batch    401, Loss  1.432815, Average Loss  1.448035, Time  0.438835
2021-09-24 09:38:10.875628 : Epoch  5, Batch    402, Loss  1.458387, Average Loss  1.448029, Time  0.440557
2021-09-24 09:38:16.795501 : Epoch  5, Batch    403, Loss  1.448277, Average Loss  1.448025, Time  0.440458
2021-09-24 09:38:22.701846 : Epoch  5, Batch    404, Loss  1.456855, Average Loss  1.447989, Time  0.439595
2021-09-24 09:38:28.624117 : Epoch  5, Batch    405, Loss  1.458291, Average Loss  1.447931, Time  0.454757
2021-09-24 09:38:34.545232 : Epoch  5, Batch    406, Loss  1.451264, Average Loss  1.447924, Time  0.444174
2021-09-24 09:38:40.454455 : Epoch  5, Batch    407, Loss  1.459355, Average Loss  1.448000, Time  0.439404
2021-09-24 09:38:46.371269 : Epoch  5, Batch    408, Loss  1.441152, Average Loss  1.447939, Time  0.442936
2021-09-24 09:38:52.293803 : Epoch  5, Batch    409, Loss  1.448821, Average Loss  1.448008, Time  0.439935
2021-09-24 09:38:58.216776 : Epoch  5, Batch    410, Loss  1.449301, Average Loss  1.448031, Time  0.438703
2021-09-24 09:39:04.139716 : Epoch  5, Batch    411, Loss  1.458887, Average Loss  1.448071, Time  0.440160
2021-09-24 09:39:10.042333 : Epoch  5, Batch    412, Loss  1.455242, Average Loss  1.448075, Time  0.438982
2021-09-24 09:39:15.960402 : Epoch  5, Batch    413, Loss  1.446527, Average Loss  1.448038, Time  0.449916
2021-09-24 09:39:21.876228 : Epoch  5, Batch    414, Loss  1.458692, Average Loss  1.448018, Time  0.440421
2021-09-24 09:39:27.799842 : Epoch  5, Batch    415, Loss  1.445463, Average Loss  1.448067, Time  0.439222
2021-09-24 09:39:33.750887 : Epoch  5, Batch    416, Loss  1.450368, Average Loss  1.448123, Time  0.452908
2021-09-24 09:39:39.665828 : Epoch  5, Batch    417, Loss  1.454333, Average Loss  1.448159, Time  0.442867
2021-09-24 09:39:45.577785 : Epoch  5, Batch    418, Loss  1.450107, Average Loss  1.448221, Time  0.440810
2021-09-24 09:39:51.489815 : Epoch  5, Batch    419, Loss  1.450823, Average Loss  1.448238, Time  0.438884
2021-09-24 09:39:57.398803 : Epoch  5, Batch    420, Loss  1.449499, Average Loss  1.448217, Time  0.438708
2021-09-24 09:40:03.315021 : Epoch  5, Batch    421, Loss  1.428815, Average Loss  1.448151, Time  0.445426
2021-09-24 09:40:09.236889 : Epoch  5, Batch    422, Loss  1.448366, Average Loss  1.448147, Time  0.442840
2021-09-24 09:40:15.160493 : Epoch  5, Batch    423, Loss  1.442510, Average Loss  1.448110, Time  0.438943
2021-09-24 09:40:21.073779 : Epoch  5, Batch    424, Loss  1.450902, Average Loss  1.448077, Time  0.438811
2021-09-24 09:40:26.981980 : Epoch  5, Batch    425, Loss  1.444873, Average Loss  1.448083, Time  0.440154
2021-09-24 09:40:32.900001 : Epoch  5, Batch    426, Loss  1.441427, Average Loss  1.448026, Time  0.442091
2021-09-24 09:40:38.806497 : Epoch  5, Batch    427, Loss  1.453064, Average Loss  1.448030, Time  0.441197
2021-09-24 09:40:44.708749 : Epoch  5, Batch    428, Loss  1.440073, Average Loss  1.447961, Time  0.439956
2021-09-24 09:40:50.641296 : Epoch  5, Batch    429, Loss  1.443316, Average Loss  1.448009, Time  0.454686
2021-09-24 09:40:56.550007 : Epoch  5, Batch    430, Loss  1.452522, Average Loss  1.447991, Time  0.444087
2021-09-24 09:41:02.460503 : Epoch  5, Batch    431, Loss  1.443045, Average Loss  1.447996, Time  0.438459
2021-09-24 09:41:08.366496 : Epoch  5, Batch    432, Loss  1.445046, Average Loss  1.448046, Time  0.440696
2021-09-24 09:41:14.281827 : Epoch  5, Batch    433, Loss  1.442681, Average Loss  1.448028, Time  0.446223
2021-09-24 09:41:20.202928 : Epoch  5, Batch    434, Loss  1.439479, Average Loss  1.447990, Time  0.443605
2021-09-24 09:41:20.749198 : CheckPoint: Validation Loss  0.00026006, Best Loss  0.00024587
2021-09-24 09:41:26.107740 : Epoch  5, Batch    435, Loss  1.445767, Average Loss  1.447909, Time  0.438673
2021-09-24 09:41:26.697060 : Epoch  5, Batch    389, Loss  1.446605, Average Loss  1.448414, Time  0.444541
2021-09-24 09:41:32.013887 : Epoch  5, Batch    436, Loss  1.452194, Average Loss  1.447952, Time  0.438536
2021-09-24 09:41:32.663671 : Epoch  5, Batch    390, Loss  1.442355, Average Loss  1.448396, Time  0.462015
2021-09-24 09:41:37.925991 : Epoch  5, Batch    437, Loss  1.461801, Average Loss  1.447987, Time  0.456582
2021-09-24 09:41:38.591235 : Epoch  5, Batch    391, Loss  1.449254, Average Loss  1.448465, Time  0.442959
2021-09-24 09:41:43.849008 : Epoch  5, Batch    438, Loss  1.459519, Average Loss  1.448050, Time  0.438464
2021-09-24 09:41:44.529966 : Epoch  5, Batch    392, Loss  1.442110, Average Loss  1.448449, Time  0.442404
2021-09-24 09:41:49.754880 : Epoch  5, Batch    439, Loss  1.448417, Average Loss  1.448077, Time  0.438698
2021-09-24 09:41:50.466235 : Epoch  5, Batch    393, Loss  1.436852, Average Loss  1.448375, Time  0.445657
2021-09-24 09:41:55.666103 : Epoch  5, Batch    440, Loss  1.453892, Average Loss  1.448185, Time  0.440928
2021-09-24 09:41:56.404734 : Epoch  5, Batch    394, Loss  1.449105, Average Loss  1.448330, Time  0.444182
2021-09-24 09:42:01.589353 : Epoch  5, Batch    441, Loss  1.452614, Average Loss  1.448228, Time  0.443804
2021-09-24 09:42:02.349800 : Epoch  5, Batch    395, Loss  1.458244, Average Loss  1.448325, Time  0.443414
2021-09-24 09:42:07.507834 : Epoch  5, Batch    442, Loss  1.449200, Average Loss  1.448202, Time  0.439099
2021-09-24 09:42:08.305225 : Epoch  5, Batch    396, Loss  1.457149, Average Loss  1.448348, Time  0.446218
2021-09-24 09:42:13.419470 : Epoch  5, Batch    443, Loss  1.447901, Average Loss  1.448201, Time  0.442573
2021-09-24 09:42:14.247262 : Epoch  5, Batch    397, Loss  1.456759, Average Loss  1.448417, Time  0.444898
2021-09-24 09:42:19.330029 : Epoch  5, Batch    444, Loss  1.434223, Average Loss  1.448101, Time  0.440594
2021-09-24 09:42:20.216745 : Epoch  5, Batch    398, Loss  1.452778, Average Loss  1.448432, Time  0.457041
2021-09-24 09:42:25.249651 : Epoch  5, Batch    445, Loss  1.455067, Average Loss  1.448118, Time  0.452605
2021-09-24 09:42:26.143472 : Epoch  5, Batch    399, Loss  1.443376, Average Loss  1.448380, Time  0.448234
2021-09-24 09:42:31.165041 : Epoch  5, Batch    446, Loss  1.452579, Average Loss  1.448093, Time  0.441066
2021-09-24 09:42:32.074922 : Epoch  5, Batch    400, Loss  1.445618, Average Loss  1.448325, Time  0.443877
2021-09-24 09:42:37.094922 : Epoch  5, Batch    447, Loss  1.435127, Average Loss  1.448053, Time  0.439742
2021-09-24 09:42:38.016741 : Epoch  5, Batch    401, Loss  1.449015, Average Loss  1.448323, Time  0.443429
2021-09-24 09:42:42.990383 : Epoch  5, Batch    448, Loss  1.440208, Average Loss  1.447987, Time  0.439039
2021-09-24 09:42:43.964397 : Epoch  5, Batch    402, Loss  1.443128, Average Loss  1.448402, Time  0.444372
2021-09-24 09:42:48.895333 : Epoch  5, Batch    449, Loss  1.453735, Average Loss  1.447996, Time  0.440191
2021-09-24 09:42:49.895710 : Epoch  5, Batch    403, Loss  1.448261, Average Loss  1.448417, Time  0.443785
2021-09-24 09:42:54.819575 : Epoch  5, Batch    450, Loss  1.447422, Average Loss  1.447960, Time  0.439920
2021-09-24 09:42:55.838263 : Epoch  5, Batch    404, Loss  1.449389, Average Loss  1.448466, Time  0.442746
2021-09-24 09:43:00.723521 : Epoch  5, Batch    451, Loss  1.439356, Average Loss  1.447870, Time  0.443990
2021-09-24 09:43:01.794447 : Epoch  5, Batch    405, Loss  1.434901, Average Loss  1.448355, Time  0.442958
2021-09-24 09:43:06.627490 : Epoch  5, Batch    452, Loss  1.447627, Average Loss  1.447850, Time  0.438931
2021-09-24 09:43:07.731542 : Epoch  5, Batch    406, Loss  1.454819, Average Loss  1.448362, Time  0.455205
2021-09-24 09:43:12.562793 : Epoch  5, Batch    453, Loss  1.430495, Average Loss  1.447786, Time  0.452152
2021-09-24 09:43:13.697816 : Epoch  5, Batch    407, Loss  1.443228, Average Loss  1.448359, Time  0.448848
2021-09-24 09:43:18.472497 : Epoch  5, Batch    454, Loss  1.461428, Average Loss  1.447854, Time  0.438303
2021-09-24 09:43:19.651939 : Epoch  5, Batch    408, Loss  1.443401, Average Loss  1.448366, Time  0.448878
2021-09-24 09:43:24.390853 : Epoch  5, Batch    455, Loss  1.449569, Average Loss  1.447912, Time  0.439017
2021-09-24 09:43:25.605389 : Epoch  5, Batch    409, Loss  1.445690, Average Loss  1.448340, Time  0.442929
2021-09-24 09:43:30.320190 : Epoch  5, Batch    456, Loss  1.450373, Average Loss  1.447900, Time  0.445400
2021-09-24 09:43:31.562031 : Epoch  5, Batch    410, Loss  1.449965, Average Loss  1.448371, Time  0.443037
2021-09-24 09:43:36.260212 : Epoch  5, Batch    457, Loss  1.453668, Average Loss  1.447952, Time  0.439386
2021-09-24 09:43:37.503530 : Epoch  5, Batch    411, Loss  1.456547, Average Loss  1.448408, Time  0.443218
2021-09-24 09:43:42.161372 : Epoch  5, Batch    458, Loss  1.446430, Average Loss  1.447986, Time  0.440840
2021-09-24 09:43:43.452620 : Epoch  5, Batch    412, Loss  1.452509, Average Loss  1.448412, Time  0.443691
2021-09-24 09:43:48.085792 : Epoch  5, Batch    459, Loss  1.465848, Average Loss  1.448086, Time  0.443475
2021-09-24 09:43:49.385009 : Epoch  5, Batch    413, Loss  1.448828, Average Loss  1.448430, Time  0.444965
2021-09-24 09:43:53.997288 : Epoch  5, Batch    460, Loss  1.438947, Average Loss  1.448021, Time  0.439790
2021-09-24 09:43:55.313284 : Epoch  5, Batch    414, Loss  1.452112, Average Loss  1.448468, Time  0.454526
2021-09-24 09:43:59.905169 : Epoch  5, Batch    461, Loss  1.450150, Average Loss  1.448022, Time  0.451125
2021-09-24 09:44:01.257482 : Epoch  5, Batch    415, Loss  1.454814, Average Loss  1.448507, Time  0.443320
2021-09-24 09:44:05.815844 : Epoch  5, Batch    462, Loss  1.460215, Average Loss  1.448142, Time  0.438485
2021-09-24 09:44:07.203822 : Epoch  5, Batch    416, Loss  1.451810, Average Loss  1.448514, Time  0.444988
2021-09-24 09:44:11.737788 : Epoch  5, Batch    463, Loss  1.449503, Average Loss  1.448185, Time  0.439540
2021-09-24 09:44:13.158967 : Epoch  5, Batch    417, Loss  1.459214, Average Loss  1.448495, Time  0.444932
2021-09-24 09:44:17.662075 : Epoch  5, Batch    464, Loss  1.438711, Average Loss  1.448191, Time  0.449169
2021-09-24 09:44:19.114878 : Epoch  5, Batch    418, Loss  1.444543, Average Loss  1.448511, Time  0.443775
2021-09-24 09:44:23.579597 : Epoch  5, Batch    465, Loss  1.441616, Average Loss  1.448112, Time  0.439893
2021-09-24 09:44:25.053752 : Epoch  5, Batch    419, Loss  1.457172, Average Loss  1.448518, Time  0.443853
2021-09-24 09:44:29.499534 : Epoch  5, Batch    466, Loss  1.445717, Average Loss  1.448051, Time  0.443071
2021-09-24 09:44:30.995608 : Epoch  5, Batch    420, Loss  1.437017, Average Loss  1.448514, Time  0.443393
2021-09-24 09:44:35.413351 : Epoch  5, Batch    467, Loss  1.458960, Average Loss  1.448095, Time  0.439896
2021-09-24 09:44:36.941495 : Epoch  5, Batch    421, Loss  1.445980, Average Loss  1.448486, Time  0.453038
2021-09-24 09:44:41.332256 : Epoch  5, Batch    468, Loss  1.437949, Average Loss  1.448040, Time  0.447310
2021-09-24 09:44:42.884722 : Epoch  5, Batch    422, Loss  1.450656, Average Loss  1.448480, Time  0.443325
2021-09-24 09:44:47.260993 : Epoch  5, Batch    469, Loss  1.456920, Average Loss  1.448118, Time  0.446280
2021-09-24 09:44:48.838185 : Epoch  5, Batch    423, Loss  1.460535, Average Loss  1.448515, Time  0.444975
2021-09-24 09:44:53.191905 : Epoch  5, Batch    470, Loss  1.452185, Average Loss  1.448110, Time  0.439030
2021-09-24 09:44:54.798801 : Epoch  5, Batch    424, Loss  1.444950, Average Loss  1.448478, Time  0.444196
2021-09-24 09:44:59.106220 : Epoch  5, Batch    471, Loss  1.444045, Average Loss  1.448031, Time  0.441365
2021-09-24 09:45:00.741154 : Epoch  5, Batch    425, Loss  1.438793, Average Loss  1.448499, Time  0.448387
2021-09-24 09:45:05.026853 : Epoch  5, Batch    472, Loss  1.445404, Average Loss  1.448006, Time  0.447199
2021-09-24 09:45:06.712137 : Epoch  5, Batch    426, Loss  1.447651, Average Loss  1.448582, Time  0.445553
2021-09-24 09:45:10.951731 : Epoch  5, Batch    473, Loss  1.449361, Average Loss  1.448001, Time  0.444467
2021-09-24 09:45:12.646750 : Epoch  5, Batch    427, Loss  1.457210, Average Loss  1.448571, Time  0.443713
2021-09-24 09:45:16.864475 : Epoch  5, Batch    474, Loss  1.447054, Average Loss  1.448007, Time  0.439404
2021-09-24 09:45:18.590378 : Epoch  5, Batch    428, Loss  1.446186, Average Loss  1.448579, Time  0.444277
2021-09-24 09:45:22.783537 : Epoch  5, Batch    475, Loss  1.449373, Average Loss  1.448041, Time  0.443330
2021-09-24 09:45:24.569849 : Epoch  5, Batch    429, Loss  1.441359, Average Loss  1.448568, Time  0.455657
2021-09-24 09:45:28.695628 : Epoch  5, Batch    476, Loss  1.437371, Average Loss  1.447935, Time  0.444289
2021-09-24 09:45:30.531014 : Epoch  5, Batch    430, Loss  1.446507, Average Loss  1.448608, Time  0.443127
2021-09-24 09:45:34.612470 : Epoch  5, Batch    477, Loss  1.452333, Average Loss  1.447943, Time  0.454659
2021-09-24 09:45:36.481907 : Epoch  5, Batch    431, Loss  1.462069, Average Loss  1.448623, Time  0.448793
2021-09-24 09:45:40.517981 : Epoch  5, Batch    478, Loss  1.454222, Average Loss  1.447943, Time  0.442549
2021-09-24 09:45:42.419408 : Epoch  5, Batch    432, Loss  1.441692, Average Loss  1.448581, Time  0.444120
2021-09-24 09:45:46.485806 : Epoch  5, Batch    479, Loss  1.456371, Average Loss  1.447992, Time  0.439677
2021-09-24 09:45:48.353113 : Epoch  5, Batch    433, Loss  1.445031, Average Loss  1.448550, Time  0.443328
2021-09-24 09:45:52.393919 : Epoch  5, Batch    480, Loss  1.459233, Average Loss  1.448028, Time  0.441562
2021-09-24 09:45:54.307538 : Epoch  5, Batch    434, Loss  1.443670, Average Loss  1.448547, Time  0.452327
2021-09-24 09:45:58.300669 : Epoch  5, Batch    481, Loss  1.459713, Average Loss  1.448028, Time  0.438741
2021-09-24 09:46:00.251027 : Epoch  5, Batch    435, Loss  1.443227, Average Loss  1.448408, Time  0.445929
2021-09-24 09:46:04.198485 : Epoch  5, Batch    482, Loss  1.443404, Average Loss  1.448078, Time  0.438533
2021-09-24 09:46:06.185158 : Epoch  5, Batch    436, Loss  1.452421, Average Loss  1.448392, Time  0.443649
2021-09-24 09:46:10.114779 : Epoch  5, Batch    483, Loss  1.449370, Average Loss  1.448122, Time  0.438075
2021-09-24 09:46:12.121389 : Epoch  5, Batch    437, Loss  1.442884, Average Loss  1.448403, Time  0.458519
2021-09-24 09:46:16.015511 : Epoch  5, Batch    484, Loss  1.453262, Average Loss  1.448151, Time  0.440116
2021-09-24 09:46:18.083759 : Epoch  5, Batch    438, Loss  1.454072, Average Loss  1.448368, Time  0.443478
2021-09-24 09:46:21.933844 : Epoch  5, Batch    485, Loss  1.447307, Average Loss  1.448091, Time  0.451076
2021-09-24 09:46:24.037213 : Epoch  5, Batch    439, Loss  1.441279, Average Loss  1.448323, Time  0.443730
2021-09-24 09:46:27.862424 : Epoch  5, Batch    486, Loss  1.441232, Average Loss  1.448056, Time  0.440287
2021-09-24 09:46:30.008246 : Epoch  5, Batch    440, Loss  1.448345, Average Loss  1.448306, Time  0.446136
2021-09-24 09:46:33.796572 : Epoch  5, Batch    487, Loss  1.441801, Average Loss  1.448070, Time  0.439323
2021-09-24 09:46:35.937188 : Epoch  5, Batch    441, Loss  1.454563, Average Loss  1.448285, Time  0.443527
2021-09-24 09:46:39.693960 : Epoch  5, Batch    488, Loss  1.442581, Average Loss  1.448000, Time  0.439006
2021-09-24 09:46:41.882613 : Epoch  5, Batch    442, Loss  1.442938, Average Loss  1.448214, Time  0.444578
2021-09-24 09:46:47.855512 : Epoch  5, Batch    443, Loss  1.450790, Average Loss  1.448233, Time  0.443019
2021-09-24 09:46:53.825205 : Epoch  5, Batch    444, Loss  1.448889, Average Loss  1.448261, Time  0.455477
2021-09-24 09:46:59.766288 : Epoch  5, Batch    445, Loss  1.456158, Average Loss  1.448318, Time  0.448027
2021-09-24 09:47:05.702209 : Epoch  5, Batch    446, Loss  1.460937, Average Loss  1.448397, Time  0.443969
2021-09-24 09:47:11.656488 : Epoch  5, Batch    447, Loss  1.451250, Average Loss  1.448413, Time  0.444727
2021-09-24 09:47:17.589939 : Epoch  5, Batch    448, Loss  1.455977, Average Loss  1.448505, Time  0.444798
2021-09-24 09:47:23.532474 : Epoch  5, Batch    449, Loss  1.454293, Average Loss  1.448475, Time  0.444492
2021-09-24 09:47:29.471868 : Epoch  5, Batch    450, Loss  1.453448, Average Loss  1.448431, Time  0.443947
2021-09-24 09:47:35.436503 : Epoch  5, Batch    451, Loss  1.432096, Average Loss  1.448332, Time  0.444529
2021-09-24 09:47:41.410435 : Epoch  5, Batch    452, Loss  1.463816, Average Loss  1.448382, Time  0.456954
2021-09-24 09:47:47.378850 : Epoch  5, Batch    453, Loss  1.447098, Average Loss  1.448399, Time  0.446365
2021-09-24 09:47:53.317634 : Epoch  5, Batch    454, Loss  1.453756, Average Loss  1.448431, Time  0.445470
2021-09-24 09:47:59.267685 : Epoch  5, Batch    455, Loss  1.462956, Average Loss  1.448479, Time  0.447348
2021-09-24 09:48:05.213891 : Epoch  5, Batch    456, Loss  1.451908, Average Loss  1.448547, Time  0.442860
2021-09-24 09:48:11.174143 : Epoch  5, Batch    457, Loss  1.461072, Average Loss  1.448602, Time  0.446360
2021-09-24 09:48:17.128024 : Epoch  5, Batch    458, Loss  1.431813, Average Loss  1.448481, Time  0.444014
2021-09-24 09:48:23.071340 : Epoch  5, Batch    459, Loss  1.460701, Average Loss  1.448595, Time  0.446660
2021-09-24 09:48:29.040609 : Epoch  5, Batch    460, Loss  1.446832, Average Loss  1.448632, Time  0.456545
2021-09-24 09:48:34.987489 : Epoch  5, Batch    461, Loss  1.453405, Average Loss  1.448664, Time  0.446298
2021-09-24 09:48:40.946756 : Epoch  5, Batch    462, Loss  1.449123, Average Loss  1.448649, Time  0.443581
2021-09-24 09:48:46.913974 : Epoch  5, Batch    463, Loss  1.452932, Average Loss  1.448670, Time  0.445087
2021-09-24 09:48:52.874128 : Epoch  5, Batch    464, Loss  1.449335, Average Loss  1.448712, Time  0.442984
2021-09-24 09:48:58.832489 : Epoch  5, Batch    465, Loss  1.443314, Average Loss  1.448632, Time  0.443967
2021-09-24 09:49:04.811630 : Epoch  5, Batch    466, Loss  1.449757, Average Loss  1.448638, Time  0.449948
2021-09-24 09:49:10.787997 : Epoch  5, Batch    467, Loss  1.449957, Average Loss  1.448640, Time  0.461174
2021-09-24 09:49:16.747139 : Epoch  5, Batch    468, Loss  1.427869, Average Loss  1.448475, Time  0.445987
2021-09-24 09:49:22.713780 : Epoch  5, Batch    469, Loss  1.447078, Average Loss  1.448461, Time  0.447604
2021-09-24 09:49:28.659836 : Epoch  5, Batch    470, Loss  1.459048, Average Loss  1.448520, Time  0.450065
2021-09-24 09:49:34.600770 : Epoch  5, Batch    471, Loss  1.447370, Average Loss  1.448541, Time  0.443549
2021-09-24 09:49:40.561821 : Epoch  5, Batch    472, Loss  1.446446, Average Loss  1.448506, Time  0.446435
2021-09-24 09:49:46.522857 : Epoch  5, Batch    473, Loss  1.456996, Average Loss  1.448536, Time  0.450084
2021-09-24 09:49:52.469095 : Epoch  5, Batch    474, Loss  1.436340, Average Loss  1.448395, Time  0.447291
2021-09-24 09:49:58.432505 : Epoch  5, Batch    475, Loss  1.443911, Average Loss  1.448428, Time  0.457554
2021-09-24 09:50:04.392829 : Epoch  5, Batch    476, Loss  1.450497, Average Loss  1.448451, Time  0.448192
2021-09-24 09:50:10.346165 : Epoch  5, Batch    477, Loss  1.449063, Average Loss  1.448484, Time  0.444572
2021-09-24 09:50:16.318853 : Epoch  5, Batch    478, Loss  1.448339, Average Loss  1.448504, Time  0.459800
2021-09-24 09:50:22.256354 : Epoch  5, Batch    479, Loss  1.426994, Average Loss  1.448323, Time  0.444542
2021-09-24 09:50:28.219657 : Epoch  5, Batch    480, Loss  1.457519, Average Loss  1.448374, Time  0.445239
2021-09-24 09:50:34.189912 : Epoch  5, Batch    481, Loss  1.435761, Average Loss  1.448283, Time  0.444760
2021-09-24 09:50:40.162793 : Epoch  5, Batch    482, Loss  1.446101, Average Loss  1.448303, Time  0.448352
2021-09-24 09:50:46.127423 : Epoch  5, Batch    483, Loss  1.441938, Average Loss  1.448214, Time  0.453750
2021-09-24 09:50:52.080804 : Epoch  5, Batch    484, Loss  1.452243, Average Loss  1.448326, Time  0.443866
2021-09-24 09:50:58.028918 : Epoch  5, Batch    485, Loss  1.447417, Average Loss  1.448327, Time  0.445653
2021-09-24 09:51:03.970914 : Epoch  5, Batch    486, Loss  1.440745, Average Loss  1.448281, Time  0.443211
2021-09-24 09:51:09.933309 : Epoch  5, Batch    487, Loss  1.446967, Average Loss  1.448321, Time  0.445647
2021-09-24 09:51:15.891051 : Epoch  5, Batch    488, Loss  1.454161, Average Loss  1.448395, Time  0.443053
2021-09-24 09:51:18.067854 : CheckPoint: Validation Loss  0.00025270, Best Loss  0.00024726
2021-09-24 09:51:24.014868 : Epoch  5, Batch    489, Loss  1.460188, Average Loss  1.448153, Time  0.443626
2021-09-24 09:51:29.912023 : Epoch  5, Batch    490, Loss  1.455180, Average Loss  1.448144, Time  0.438879
2021-09-24 09:51:35.813872 : Epoch  5, Batch    491, Loss  1.446778, Average Loss  1.448107, Time  0.444272
2021-09-24 09:51:41.719897 : Epoch  5, Batch    492, Loss  1.438941, Average Loss  1.447974, Time  0.447569
2021-09-24 09:51:47.648445 : Epoch  5, Batch    493, Loss  1.448924, Average Loss  1.447943, Time  0.446702
2021-09-24 09:51:53.555672 : Epoch  5, Batch    494, Loss  1.452244, Average Loss  1.448001, Time  0.439141
2021-09-24 09:51:59.461081 : Epoch  5, Batch    495, Loss  1.451282, Average Loss  1.448065, Time  0.440706
2021-09-24 09:52:05.384382 : Epoch  5, Batch    496, Loss  1.454702, Average Loss  1.448176, Time  0.440957
2021-09-24 09:52:11.310478 : Epoch  5, Batch    497, Loss  1.450422, Average Loss  1.448262, Time  0.440689
2021-09-24 09:52:17.228507 : Epoch  5, Batch    498, Loss  1.444417, Average Loss  1.448165, Time  0.438938
2021-09-24 09:52:23.128292 : Epoch  5, Batch    499, Loss  1.438682, Average Loss  1.448133, Time  0.439399
2021-09-24 09:52:29.081441 : Epoch  5, Batch    500, Loss  1.443016, Average Loss  1.448089, Time  0.457778
2021-09-24 09:52:35.007917 : Epoch  5, Batch    501, Loss  1.454793, Average Loss  1.448076, Time  0.439026
2021-09-24 09:52:40.921579 : Epoch  5, Batch    502, Loss  1.442243, Average Loss  1.448085, Time  0.439801
2021-09-24 09:52:46.839366 : Epoch  5, Batch    503, Loss  1.455378, Average Loss  1.448083, Time  0.439716
2021-09-24 09:52:52.772315 : Epoch  5, Batch    504, Loss  1.448858, Average Loss  1.448091, Time  0.441145
2021-09-24 09:52:58.679837 : Epoch  5, Batch    505, Loss  1.456825, Average Loss  1.448128, Time  0.438769
2021-09-24 09:53:04.586700 : Epoch  5, Batch    506, Loss  1.455914, Average Loss  1.448162, Time  0.440261
2021-09-24 09:53:10.495693 : Epoch  5, Batch    507, Loss  1.452940, Average Loss  1.448205, Time  0.439052
2021-09-24 09:53:16.425794 : Epoch  5, Batch    508, Loss  1.438861, Average Loss  1.448215, Time  0.453855
2021-09-24 09:53:22.352096 : Epoch  5, Batch    509, Loss  1.436074, Average Loss  1.448180, Time  0.439545
2021-09-24 09:53:28.262491 : Epoch  5, Batch    510, Loss  1.459181, Average Loss  1.448297, Time  0.441046
2021-09-24 09:53:34.173339 : Epoch  5, Batch    511, Loss  1.450774, Average Loss  1.448331, Time  0.441169
2021-09-24 09:53:40.107862 : Epoch  5, Batch    512, Loss  1.445968, Average Loss  1.448366, Time  0.440897
2021-09-24 09:53:46.026930 : Epoch  5, Batch    513, Loss  1.445989, Average Loss  1.448343, Time  0.438431
2021-09-24 09:53:51.957043 : Epoch  5, Batch    514, Loss  1.451003, Average Loss  1.448369, Time  0.440652
2021-09-24 09:53:57.878799 : Epoch  5, Batch    515, Loss  1.444431, Average Loss  1.448343, Time  0.442768
2021-09-24 09:54:03.815869 : Epoch  5, Batch    516, Loss  1.447444, Average Loss  1.448377, Time  0.455896
2021-09-24 09:54:09.733859 : Epoch  5, Batch    517, Loss  1.447028, Average Loss  1.448406, Time  0.444778
2021-09-24 09:54:15.659353 : Epoch  5, Batch    518, Loss  1.443758, Average Loss  1.448420, Time  0.439019
2021-09-24 09:54:21.603190 : Epoch  5, Batch    519, Loss  1.443935, Average Loss  1.448344, Time  0.444376
2021-09-24 09:54:27.527773 : Epoch  5, Batch    520, Loss  1.447083, Average Loss  1.448316, Time  0.439274
2021-09-24 09:54:33.463818 : Epoch  5, Batch    521, Loss  1.450539, Average Loss  1.448334, Time  0.441208
2021-09-24 09:54:39.379580 : Epoch  5, Batch    522, Loss  1.447422, Average Loss  1.448325, Time  0.439712
2021-09-24 09:54:45.310749 : Epoch  5, Batch    523, Loss  1.449384, Average Loss  1.448377, Time  0.451774
2021-09-24 09:54:51.230189 : Epoch  5, Batch    524, Loss  1.451067, Average Loss  1.448329, Time  0.439682
2021-09-24 09:54:57.153825 : Epoch  5, Batch    525, Loss  1.440302, Average Loss  1.448321, Time  0.439161
2021-09-24 09:55:03.082208 : Epoch  5, Batch    526, Loss  1.451852, Average Loss  1.448363, Time  0.443960
2021-09-24 09:55:09.008617 : Epoch  5, Batch    527, Loss  1.448958, Average Loss  1.448342, Time  0.439194
2021-09-24 09:55:14.931161 : Epoch  5, Batch    528, Loss  1.442622, Average Loss  1.448304, Time  0.439240
2021-09-24 09:55:20.853468 : Epoch  5, Batch    529, Loss  1.451895, Average Loss  1.448342, Time  0.445141
2021-09-24 09:55:26.768448 : Epoch  5, Batch    530, Loss  1.449821, Average Loss  1.448327, Time  0.438914
2021-09-24 09:55:32.683207 : Epoch  5, Batch    531, Loss  1.441214, Average Loss  1.448238, Time  0.446540
2021-09-24 09:55:38.590664 : Epoch  5, Batch    532, Loss  1.451841, Average Loss  1.448218, Time  0.442014
2021-09-24 09:55:44.506354 : Epoch  5, Batch    533, Loss  1.444787, Average Loss  1.448221, Time  0.442135
2021-09-24 09:55:50.433189 : Epoch  5, Batch    534, Loss  1.453281, Average Loss  1.448234, Time  0.443481
2021-09-24 09:55:54.477442 : CheckPoint: Validation Loss  0.00025107, Best Loss  0.00024587
2021-09-24 09:55:56.355348 : Epoch  5, Batch    535, Loss  1.456402, Average Loss  1.448307, Time  0.440379
2021-09-24 09:56:00.421057 : Epoch  5, Batch    489, Loss  1.457795, Average Loss  1.448520, Time  0.443902
2021-09-24 09:56:02.287492 : Epoch  5, Batch    536, Loss  1.455027, Average Loss  1.448290, Time  0.439295
2021-09-24 09:56:06.368277 : Epoch  5, Batch    490, Loss  1.464039, Average Loss  1.448616, Time  0.451280
2021-09-24 09:56:08.214431 : Epoch  5, Batch    537, Loss  1.447224, Average Loss  1.448366, Time  0.439204
2021-09-24 09:56:12.327787 : Epoch  5, Batch    491, Loss  1.437686, Average Loss  1.448582, Time  0.444396
2021-09-24 09:56:14.161129 : Epoch  5, Batch    538, Loss  1.446545, Average Loss  1.448280, Time  0.439586
2021-09-24 09:56:18.273868 : Epoch  5, Batch    492, Loss  1.451037, Average Loss  1.448582, Time  0.445723
2021-09-24 09:56:20.104559 : Epoch  5, Batch    539, Loss  1.445508, Average Loss  1.448258, Time  0.450334
2021-09-24 09:56:24.232834 : Epoch  5, Batch    493, Loss  1.448554, Average Loss  1.448571, Time  0.445793
2021-09-24 09:56:26.037669 : Epoch  5, Batch    540, Loss  1.442978, Average Loss  1.448224, Time  0.439257
2021-09-24 09:56:30.180478 : Epoch  5, Batch    494, Loss  1.437854, Average Loss  1.448563, Time  0.443412
2021-09-24 09:56:31.972643 : Epoch  5, Batch    541, Loss  1.456835, Average Loss  1.448298, Time  0.439092
2021-09-24 09:56:36.119571 : Epoch  5, Batch    495, Loss  1.460808, Average Loss  1.448641, Time  0.443389
2021-09-24 09:56:37.879759 : Epoch  5, Batch    542, Loss  1.439043, Average Loss  1.448255, Time  0.439590
2021-09-24 09:56:42.050791 : Epoch  5, Batch    496, Loss  1.443299, Average Loss  1.448601, Time  0.446002
2021-09-24 09:56:43.794124 : Epoch  5, Batch    543, Loss  1.445302, Average Loss  1.448171, Time  0.438956
2021-09-24 09:56:48.007215 : Epoch  5, Batch    497, Loss  1.454690, Average Loss  1.448660, Time  0.451499
2021-09-24 09:56:49.703766 : Epoch  5, Batch    544, Loss  1.448306, Average Loss  1.448177, Time  0.439423
2021-09-24 09:56:53.967350 : Epoch  5, Batch    498, Loss  1.456436, Average Loss  1.448655, Time  0.453764
2021-09-24 09:56:55.629883 : Epoch  5, Batch    545, Loss  1.444485, Average Loss  1.448177, Time  0.440079
2021-09-24 09:56:59.932400 : Epoch  5, Batch    499, Loss  1.448510, Average Loss  1.448614, Time  0.444282
2021-09-24 09:57:01.556831 : Epoch  5, Batch    546, Loss  1.455880, Average Loss  1.448208, Time  0.438875
2021-09-24 09:57:05.888501 : Epoch  5, Batch    500, Loss  1.439040, Average Loss  1.448523, Time  0.444901
2021-09-24 09:57:07.487855 : Epoch  5, Batch    547, Loss  1.449962, Average Loss  1.448230, Time  0.453434
2021-09-24 09:57:11.841203 : Epoch  5, Batch    501, Loss  1.446422, Average Loss  1.448513, Time  0.445618
2021-09-24 09:57:13.405604 : Epoch  5, Batch    548, Loss  1.440458, Average Loss  1.448210, Time  0.442121
2021-09-24 09:57:17.797127 : Epoch  5, Batch    502, Loss  1.450293, Average Loss  1.448526, Time  0.444728
2021-09-24 09:57:19.333796 : Epoch  5, Batch    549, Loss  1.436471, Average Loss  1.448201, Time  0.443814
2021-09-24 09:57:23.740880 : Epoch  5, Batch    503, Loss  1.447822, Average Loss  1.448556, Time  0.445299
2021-09-24 09:57:25.251689 : Epoch  5, Batch    550, Loss  1.444372, Average Loss  1.448202, Time  0.441592
2021-09-24 09:57:29.690203 : Epoch  5, Batch    504, Loss  1.448011, Average Loss  1.448523, Time  0.447809
2021-09-24 09:57:31.162492 : Epoch  5, Batch    551, Loss  1.448081, Average Loss  1.448174, Time  0.439326
2021-09-24 09:57:35.642648 : Epoch  5, Batch    505, Loss  1.451384, Average Loss  1.448539, Time  0.446973
2021-09-24 09:57:37.086938 : Epoch  5, Batch    552, Loss  1.438735, Average Loss  1.448124, Time  0.440565
2021-09-24 09:57:41.610449 : Epoch  5, Batch    506, Loss  1.447455, Average Loss  1.448518, Time  0.454426
2021-09-24 09:57:43.009735 : Epoch  5, Batch    553, Loss  1.453832, Average Loss  1.448173, Time  0.444491
2021-09-24 09:57:47.563452 : Epoch  5, Batch    507, Loss  1.440556, Average Loss  1.448509, Time  0.444163
2021-09-24 09:57:48.928818 : Epoch  5, Batch    554, Loss  1.448048, Average Loss  1.448109, Time  0.440538
2021-09-24 09:57:53.510848 : Epoch  5, Batch    508, Loss  1.449941, Average Loss  1.448454, Time  0.447042
2021-09-24 09:57:54.864899 : Epoch  5, Batch    555, Loss  1.449255, Average Loss  1.448096, Time  0.455735
2021-09-24 09:57:59.467358 : Epoch  5, Batch    509, Loss  1.449154, Average Loss  1.448509, Time  0.447590
2021-09-24 09:58:00.779784 : Epoch  5, Batch    556, Loss  1.448104, Average Loss  1.448116, Time  0.441061
2021-09-24 09:58:05.418995 : Epoch  5, Batch    510, Loss  1.446301, Average Loss  1.448444, Time  0.445566
2021-09-24 09:58:06.691419 : Epoch  5, Batch    557, Loss  1.459278, Average Loss  1.448190, Time  0.442766
2021-09-24 09:58:11.377748 : Epoch  5, Batch    511, Loss  1.450493, Average Loss  1.448488, Time  0.444569
2021-09-24 09:58:12.610369 : Epoch  5, Batch    558, Loss  1.447272, Average Loss  1.448157, Time  0.441413
2021-09-24 09:58:17.332324 : Epoch  5, Batch    512, Loss  1.450319, Average Loss  1.448481, Time  0.443714
2021-09-24 09:58:18.532810 : Epoch  5, Batch    559, Loss  1.453650, Average Loss  1.448211, Time  0.438990
2021-09-24 09:58:23.283816 : Epoch  5, Batch    513, Loss  1.446970, Average Loss  1.448430, Time  0.447087
2021-09-24 09:58:24.443162 : Epoch  5, Batch    560, Loss  1.442790, Average Loss  1.448172, Time  0.438102
2021-09-24 09:58:29.238721 : Epoch  5, Batch    514, Loss  1.447642, Average Loss  1.448410, Time  0.458809
2021-09-24 09:58:30.357975 : Epoch  5, Batch    561, Loss  1.444018, Average Loss  1.448203, Time  0.438964
2021-09-24 09:58:35.207050 : Epoch  5, Batch    515, Loss  1.457736, Average Loss  1.448420, Time  0.445069
2021-09-24 09:58:36.279447 : Epoch  5, Batch    562, Loss  1.441799, Average Loss  1.448159, Time  0.440692
2021-09-24 09:58:41.163970 : Epoch  5, Batch    516, Loss  1.444436, Average Loss  1.448373, Time  0.443930
2021-09-24 09:58:42.258462 : Epoch  5, Batch    563, Loss  1.461770, Average Loss  1.448230, Time  0.457399
2021-09-24 09:58:47.116515 : Epoch  5, Batch    517, Loss  1.473760, Average Loss  1.448491, Time  0.444161
2021-09-24 09:58:48.178628 : Epoch  5, Batch    564, Loss  1.458489, Average Loss  1.448314, Time  0.439418
2021-09-24 09:58:53.045047 : Epoch  5, Batch    518, Loss  1.440501, Average Loss  1.448463, Time  0.443404
2021-09-24 09:58:54.089048 : Epoch  5, Batch    565, Loss  1.449368, Average Loss  1.448282, Time  0.438243
2021-09-24 09:58:59.012801 : Epoch  5, Batch    519, Loss  1.454198, Average Loss  1.448464, Time  0.445427
2021-09-24 09:59:00.015766 : Epoch  5, Batch    566, Loss  1.446118, Average Loss  1.448302, Time  0.439755
2021-09-24 09:59:04.983785 : Epoch  5, Batch    520, Loss  1.444564, Average Loss  1.448434, Time  0.446230
2021-09-24 09:59:05.937555 : Epoch  5, Batch    567, Loss  1.451065, Average Loss  1.448288, Time  0.438676
2021-09-24 09:59:10.948973 : Epoch  5, Batch    521, Loss  1.453907, Average Loss  1.448499, Time  0.460506
2021-09-24 09:59:11.863428 : Epoch  5, Batch    568, Loss  1.450751, Average Loss  1.448285, Time  0.439326
2021-09-24 09:59:16.886327 : Epoch  5, Batch    522, Loss  1.455035, Average Loss  1.448543, Time  0.444171
2021-09-24 09:59:17.786032 : Epoch  5, Batch    569, Loss  1.442932, Average Loss  1.448348, Time  0.439863
2021-09-24 09:59:22.827262 : Epoch  5, Batch    523, Loss  1.444900, Average Loss  1.448500, Time  0.443423
2021-09-24 09:59:23.699747 : Epoch  5, Batch    570, Loss  1.454316, Average Loss  1.448387, Time  0.441713
2021-09-24 09:59:28.755684 : Epoch  5, Batch    524, Loss  1.439995, Average Loss  1.448443, Time  0.443871
2021-09-24 09:59:29.618707 : Epoch  5, Batch    571, Loss  1.443052, Average Loss  1.448403, Time  0.452285
2021-09-24 09:59:34.710797 : Epoch  5, Batch    525, Loss  1.446157, Average Loss  1.448433, Time  0.449367
2021-09-24 09:59:35.528623 : Epoch  5, Batch    572, Loss  1.427377, Average Loss  1.448298, Time  0.439096
2021-09-24 09:59:40.637676 : Epoch  5, Batch    526, Loss  1.443354, Average Loss  1.448412, Time  0.442836
2021-09-24 09:59:41.429116 : Epoch  5, Batch    573, Loss  1.445855, Average Loss  1.448287, Time  0.439444
2021-09-24 09:59:46.582493 : Epoch  5, Batch    527, Loss  1.448199, Average Loss  1.448374, Time  0.443944
2021-09-24 09:59:47.333607 : Epoch  5, Batch    574, Loss  1.445257, Average Loss  1.448309, Time  0.439224
2021-09-24 09:59:52.525416 : Epoch  5, Batch    528, Loss  1.446829, Average Loss  1.448427, Time  0.443961
2021-09-24 09:59:53.245132 : Epoch  5, Batch    575, Loss  1.446090, Average Loss  1.448265, Time  0.440974
2021-09-24 09:59:58.481765 : Epoch  5, Batch    529, Loss  1.456531, Average Loss  1.448514, Time  0.453547
2021-09-24 09:59:59.160285 : Epoch  5, Batch    576, Loss  1.440178, Average Loss  1.448266, Time  0.439667
2021-09-24 10:00:04.427007 : Epoch  5, Batch    530, Loss  1.457832, Average Loss  1.448543, Time  0.443435
2021-09-24 10:00:05.076873 : Epoch  5, Batch    577, Loss  1.448637, Average Loss  1.448289, Time  0.442365
2021-09-24 10:00:10.375860 : Epoch  5, Batch    531, Loss  1.454770, Average Loss  1.448592, Time  0.443888
2021-09-24 10:00:11.005748 : Epoch  5, Batch    578, Loss  1.452609, Average Loss  1.448259, Time  0.442174
2021-09-24 10:00:16.326546 : Epoch  5, Batch    532, Loss  1.465461, Average Loss  1.448673, Time  0.445956
2021-09-24 10:00:16.941516 : Epoch  5, Batch    579, Loss  1.443666, Average Loss  1.448268, Time  0.448301
2021-09-24 10:00:22.279869 : Epoch  5, Batch    533, Loss  1.429651, Average Loss  1.448572, Time  0.449895
2021-09-24 10:00:22.868444 : Epoch  5, Batch    580, Loss  1.463382, Average Loss  1.448352, Time  0.445720
2021-09-24 10:00:28.211444 : Epoch  5, Batch    534, Loss  1.457653, Average Loss  1.448612, Time  0.447514
2021-09-24 10:00:28.787407 : Epoch  5, Batch    581, Loss  1.445040, Average Loss  1.448337, Time  0.441069
2021-09-24 10:00:34.151475 : Epoch  5, Batch    535, Loss  1.443835, Average Loss  1.448647, Time  0.448282
2021-09-24 10:00:34.710466 : Epoch  5, Batch    582, Loss  1.442635, Average Loss  1.448240, Time  0.438789
2021-09-24 10:00:38.555557 : Epoch  5, Batch    536, Loss  1.447319, Average Loss  1.448642, Time  0.347373
2021-09-24 10:00:40.641351 : Epoch  5, Batch    583, Loss  1.449365, Average Loss  1.448274, Time  0.441276
2021-09-24 10:00:44.522180 : Epoch  5, Batch    537, Loss  1.448249, Average Loss  1.448651, Time  0.464886
2021-09-24 10:00:46.546329 : Epoch  5, Batch    584, Loss  1.448780, Average Loss  1.448244, Time  0.438620
2021-09-24 10:00:50.462801 : Epoch  5, Batch    538, Loss  1.445381, Average Loss  1.448642, Time  0.445641
2021-09-24 10:00:52.447772 : Epoch  5, Batch    585, Loss  1.445698, Average Loss  1.448223, Time  0.438571
2021-09-24 10:00:56.392701 : Epoch  5, Batch    539, Loss  1.442937, Average Loss  1.448582, Time  0.444377
2021-09-24 10:00:58.365089 : Epoch  5, Batch    586, Loss  1.441390, Average Loss  1.448166, Time  0.439568
2021-09-24 10:01:02.336269 : Epoch  5, Batch    540, Loss  1.455610, Average Loss  1.448606, Time  0.444363
2021-09-24 10:01:04.292850 : Epoch  5, Batch    587, Loss  1.439701, Average Loss  1.448153, Time  0.454113
2021-09-24 10:01:08.289259 : Epoch  5, Batch    541, Loss  1.450838, Average Loss  1.448608, Time  0.442934
2021-09-24 10:01:10.197479 : Epoch  5, Batch    588, Loss  1.456269, Average Loss  1.448183, Time  0.445134
2021-09-24 10:01:14.249159 : Epoch  5, Batch    542, Loss  1.439808, Average Loss  1.448610, Time  0.446982
2021-09-24 10:01:20.217690 : Epoch  5, Batch    543, Loss  1.449308, Average Loss  1.448659, Time  0.443491
2021-09-24 10:01:26.158881 : Epoch  5, Batch    544, Loss  1.452627, Average Loss  1.448778, Time  0.444043
2021-09-24 10:01:32.130400 : Epoch  5, Batch    545, Loss  1.456338, Average Loss  1.448813, Time  0.461797
2021-09-24 10:01:38.080204 : Epoch  5, Batch    546, Loss  1.446143, Average Loss  1.448885, Time  0.445664
2021-09-24 10:01:44.012147 : Epoch  5, Batch    547, Loss  1.449206, Average Loss  1.448831, Time  0.443080
2021-09-24 10:01:49.958267 : Epoch  5, Batch    548, Loss  1.451706, Average Loss  1.448875, Time  0.444990
2021-09-24 10:01:55.923796 : Epoch  5, Batch    549, Loss  1.434709, Average Loss  1.448777, Time  0.446759
2021-09-24 10:02:01.857800 : Epoch  5, Batch    550, Loss  1.454514, Average Loss  1.448832, Time  0.442997
2021-09-24 10:02:07.803797 : Epoch  5, Batch    551, Loss  1.464804, Average Loss  1.448880, Time  0.443979
2021-09-24 10:02:13.779411 : Epoch  5, Batch    552, Loss  1.442948, Average Loss  1.448848, Time  0.465438
2021-09-24 10:02:19.736204 : Epoch  5, Batch    553, Loss  1.441494, Average Loss  1.448750, Time  0.449393
2021-09-24 10:02:25.678010 : Epoch  5, Batch    554, Loss  1.452185, Average Loss  1.448754, Time  0.444300
2021-09-24 10:02:31.628426 : Epoch  5, Batch    555, Loss  1.455208, Average Loss  1.448844, Time  0.443859
2021-09-24 10:02:37.562674 : Epoch  5, Batch    556, Loss  1.434753, Average Loss  1.448760, Time  0.444895
2021-09-24 10:02:43.531274 : Epoch  5, Batch    557, Loss  1.460426, Average Loss  1.448803, Time  0.445283
2021-09-24 10:02:49.489911 : Epoch  5, Batch    558, Loss  1.452107, Average Loss  1.448846, Time  0.450868
2021-09-24 10:02:55.430805 : Epoch  5, Batch    559, Loss  1.453070, Average Loss  1.448908, Time  0.443945
2021-09-24 10:03:01.392249 : Epoch  5, Batch    560, Loss  1.452805, Average Loss  1.448891, Time  0.461862
2021-09-24 10:03:07.345791 : Epoch  5, Batch    561, Loss  1.449792, Average Loss  1.448876, Time  0.443598
2021-09-24 10:03:13.294437 : Epoch  5, Batch    562, Loss  1.448230, Average Loss  1.448895, Time  0.444286
2021-09-24 10:03:19.246548 : Epoch  5, Batch    563, Loss  1.442482, Average Loss  1.448870, Time  0.447009
2021-09-24 10:03:25.206001 : Epoch  5, Batch    564, Loss  1.442572, Average Loss  1.448826, Time  0.444097
2021-09-24 10:03:31.166862 : Epoch  5, Batch    565, Loss  1.463602, Average Loss  1.448852, Time  0.445674
2021-09-24 10:03:37.121862 : Epoch  5, Batch    566, Loss  1.453688, Average Loss  1.448934, Time  0.446209
2021-09-24 10:03:43.075373 : Epoch  5, Batch    567, Loss  1.441738, Average Loss  1.448869, Time  0.446996
2021-09-24 10:03:49.047682 : Epoch  5, Batch    568, Loss  1.440394, Average Loss  1.448885, Time  0.467440
2021-09-24 10:03:55.002147 : Epoch  5, Batch    569, Loss  1.436577, Average Loss  1.448840, Time  0.445284
2021-09-24 10:04:00.951920 : Epoch  5, Batch    570, Loss  1.459747, Average Loss  1.448924, Time  0.444612
2021-09-24 10:04:06.897251 : Epoch  5, Batch    571, Loss  1.446756, Average Loss  1.448960, Time  0.445054
2021-09-24 10:04:12.862739 : Epoch  5, Batch    572, Loss  1.459008, Average Loss  1.448994, Time  0.444584
2021-09-24 10:04:18.817449 : Epoch  5, Batch    573, Loss  1.445539, Average Loss  1.448957, Time  0.444127
2021-09-24 10:04:24.766255 : Epoch  5, Batch    574, Loss  1.459040, Average Loss  1.448985, Time  0.443932
2021-09-24 10:04:30.727946 : Epoch  5, Batch    575, Loss  1.445567, Average Loss  1.448988, Time  0.447107
2021-09-24 10:04:36.678838 : Epoch  5, Batch    576, Loss  1.453282, Average Loss  1.448999, Time  0.457982
2021-09-24 10:04:42.637942 : Epoch  5, Batch    577, Loss  1.457486, Average Loss  1.449032, Time  0.445647
2021-09-24 10:04:48.614676 : Epoch  5, Batch    578, Loss  1.435774, Average Loss  1.448987, Time  0.444911
2021-09-24 10:04:54.551347 : Epoch  5, Batch    579, Loss  1.437713, Average Loss  1.448898, Time  0.444172
2021-09-24 10:05:00.496651 : Epoch  5, Batch    580, Loss  1.445302, Average Loss  1.448897, Time  0.444420
2021-09-24 10:05:06.477850 : Epoch  5, Batch    581, Loss  1.460542, Average Loss  1.448902, Time  0.449593
2021-09-24 10:05:12.431696 : Epoch  5, Batch    582, Loss  1.450699, Average Loss  1.448922, Time  0.444546
2021-09-24 10:05:18.379496 : Epoch  5, Batch    583, Loss  1.449940, Average Loss  1.448900, Time  0.445720
2021-09-24 10:05:24.333081 : Epoch  5, Batch    584, Loss  1.452993, Average Loss  1.448982, Time  0.456059
2021-09-24 10:05:30.295872 : Epoch  5, Batch    585, Loss  1.452811, Average Loss  1.448980, Time  0.444434
2021-09-24 10:05:36.250316 : Epoch  5, Batch    586, Loss  1.453523, Average Loss  1.449011, Time  0.444282
2021-09-24 10:05:42.212938 : Epoch  5, Batch    587, Loss  1.444729, Average Loss  1.448986, Time  0.443289
2021-09-24 10:05:48.162011 : Epoch  5, Batch    588, Loss  1.437241, Average Loss  1.448980, Time  0.447955
2021-09-24 10:05:48.459215 : CheckPoint: Validation Loss  0.00025221, Best Loss  0.00024726
2021-09-24 10:05:54.383906 : Epoch  5, Batch    589, Loss  1.450220, Average Loss  1.448220, Time  0.439183
2021-09-24 10:06:00.308520 : Epoch  5, Batch    590, Loss  1.459647, Average Loss  1.448307, Time  0.440323
2021-09-24 10:06:06.230425 : Epoch  5, Batch    591, Loss  1.437169, Average Loss  1.448275, Time  0.440818
2021-09-24 10:06:12.147838 : Epoch  5, Batch    592, Loss  1.449735, Average Loss  1.448232, Time  0.439660
2021-09-24 10:06:18.059451 : Epoch  5, Batch    593, Loss  1.435350, Average Loss  1.448219, Time  0.442540
2021-09-24 10:06:23.988639 : Epoch  5, Batch    594, Loss  1.450289, Average Loss  1.448257, Time  0.460271
2021-09-24 10:06:29.895216 : Epoch  5, Batch    595, Loss  1.443463, Average Loss  1.448228, Time  0.440284
2021-09-24 10:06:35.816360 : Epoch  5, Batch    596, Loss  1.432268, Average Loss  1.448143, Time  0.449033
2021-09-24 10:06:41.730620 : Epoch  5, Batch    597, Loss  1.444862, Average Loss  1.448148, Time  0.441268
2021-09-24 10:06:47.658269 : Epoch  5, Batch    598, Loss  1.450417, Average Loss  1.448149, Time  0.441319
2021-09-24 10:06:53.575719 : Epoch  5, Batch    599, Loss  1.451169, Average Loss  1.448134, Time  0.440121
2021-09-24 10:06:59.490342 : Epoch  5, Batch    600, Loss  1.453625, Average Loss  1.448176, Time  0.438385
2021-09-24 10:07:05.423319 : Epoch  5, Batch    601, Loss  1.451399, Average Loss  1.448269, Time  0.442980
2021-09-24 10:07:11.343826 : Epoch  5, Batch    602, Loss  1.456012, Average Loss  1.448257, Time  0.451665
2021-09-24 10:07:17.244204 : Epoch  5, Batch    603, Loss  1.455262, Average Loss  1.448292, Time  0.440308
2021-09-24 10:07:23.166840 : Epoch  5, Batch    604, Loss  1.442603, Average Loss  1.448221, Time  0.440382
2021-09-24 10:07:29.085342 : Epoch  5, Batch    605, Loss  1.451189, Average Loss  1.448185, Time  0.439687
2021-09-24 10:07:35.001837 : Epoch  5, Batch    606, Loss  1.452042, Average Loss  1.448189, Time  0.439812
2021-09-24 10:07:40.926750 : Epoch  5, Batch    607, Loss  1.447457, Average Loss  1.448130, Time  0.439278
2021-09-24 10:07:46.845018 : Epoch  5, Batch    608, Loss  1.453269, Average Loss  1.448190, Time  0.438580
2021-09-24 10:07:52.769025 : Epoch  5, Batch    609, Loss  1.446709, Average Loss  1.448180, Time  0.441266
2021-09-24 10:07:58.686980 : Epoch  5, Batch    610, Loss  1.459651, Average Loss  1.448232, Time  0.448515
2021-09-24 10:08:04.627221 : Epoch  5, Batch    611, Loss  1.453967, Average Loss  1.448207, Time  0.443950
2021-09-24 10:08:10.538589 : Epoch  5, Batch    612, Loss  1.442973, Average Loss  1.448146, Time  0.439582
2021-09-24 10:08:16.453905 : Epoch  5, Batch    613, Loss  1.447384, Average Loss  1.448150, Time  0.441181
2021-09-24 10:08:22.359942 : Epoch  5, Batch    614, Loss  1.438370, Average Loss  1.448048, Time  0.441638
2021-09-24 10:08:28.288236 : Epoch  5, Batch    615, Loss  1.440049, Average Loss  1.448021, Time  0.443543
2021-09-24 10:08:34.204979 : Epoch  5, Batch    616, Loss  1.445378, Average Loss  1.447996, Time  0.440353
2021-09-24 10:08:40.131512 : Epoch  5, Batch    617, Loss  1.448309, Average Loss  1.447966, Time  0.438766
2021-09-24 10:08:46.060045 : Epoch  5, Batch    618, Loss  1.452201, Average Loss  1.447977, Time  0.453915
2021-09-24 10:08:51.975620 : Epoch  5, Batch    619, Loss  1.457154, Average Loss  1.448008, Time  0.440796
2021-09-24 10:08:57.901225 : Epoch  5, Batch    620, Loss  1.441749, Average Loss  1.447970, Time  0.439113
2021-09-24 10:09:03.801834 : Epoch  5, Batch    621, Loss  1.445651, Average Loss  1.448054, Time  0.440822
2021-09-24 10:09:09.724578 : Epoch  5, Batch    622, Loss  1.453286, Average Loss  1.448078, Time  0.439254
2021-09-24 10:09:15.628829 : Epoch  5, Batch    623, Loss  1.457820, Average Loss  1.448155, Time  0.444871
2021-09-24 10:09:21.536529 : Epoch  5, Batch    624, Loss  1.455472, Average Loss  1.448178, Time  0.439584
2021-09-24 10:09:27.450476 : Epoch  5, Batch    625, Loss  1.447302, Average Loss  1.448190, Time  0.440727
2021-09-24 10:09:33.376684 : Epoch  5, Batch    626, Loss  1.444836, Average Loss  1.448207, Time  0.454486
2021-09-24 10:09:39.287440 : Epoch  5, Batch    627, Loss  1.449300, Average Loss  1.448188, Time  0.447210
2021-09-24 10:09:45.199776 : Epoch  5, Batch    628, Loss  1.439985, Average Loss  1.448188, Time  0.440583
2021-09-24 10:09:51.116791 : Epoch  5, Batch    629, Loss  1.437083, Average Loss  1.448157, Time  0.440748
2021-09-24 10:09:57.041573 : Epoch  5, Batch    630, Loss  1.463205, Average Loss  1.448210, Time  0.438733
2021-09-24 10:10:02.969529 : Epoch  5, Batch    631, Loss  1.439309, Average Loss  1.448191, Time  0.439959
2021-09-24 10:10:08.883026 : Epoch  5, Batch    632, Loss  1.457246, Average Loss  1.448252, Time  0.439554
2021-09-24 10:10:14.815439 : Epoch  5, Batch    633, Loss  1.439118, Average Loss  1.448234, Time  0.440844
2021-09-24 10:10:20.747743 : Epoch  5, Batch    634, Loss  1.432377, Average Loss  1.448199, Time  0.448779
2021-09-24 10:10:26.697135 : Epoch  5, Batch    635, Loss  1.451723, Average Loss  1.448229, Time  0.439295
2021-09-24 10:10:27.150142 : CheckPoint: Validation Loss  0.00025716, Best Loss  0.00024587
2021-09-24 10:10:32.613450 : Epoch  5, Batch    636, Loss  1.449454, Average Loss  1.448215, Time  0.438629
2021-09-24 10:10:33.110579 : Epoch  5, Batch    589, Loss  1.446074, Average Loss  1.448978, Time  0.443951
2021-09-24 10:10:38.526799 : Epoch  5, Batch    637, Loss  1.443644, Average Loss  1.448124, Time  0.439355
2021-09-24 10:10:39.050740 : Epoch  5, Batch    590, Loss  1.439094, Average Loss  1.448961, Time  0.444395
2021-09-24 10:10:44.443719 : Epoch  5, Batch    638, Loss  1.444683, Average Loss  1.448050, Time  0.440025
2021-09-24 10:10:45.019613 : Epoch  5, Batch    591, Loss  1.447348, Average Loss  1.448952, Time  0.456586
2021-09-24 10:10:50.369487 : Epoch  5, Batch    639, Loss  1.458559, Average Loss  1.448101, Time  0.440008
2021-09-24 10:10:50.998476 : Epoch  5, Batch    592, Loss  1.447490, Average Loss  1.448979, Time  0.445004
2021-09-24 10:10:56.279818 : Epoch  5, Batch    640, Loss  1.443534, Average Loss  1.448049, Time  0.440747
2021-09-24 10:10:56.975832 : Epoch  5, Batch    593, Loss  1.442736, Average Loss  1.449008, Time  0.444786
2021-09-24 10:11:02.195580 : Epoch  5, Batch    641, Loss  1.435248, Average Loss  1.447962, Time  0.438277
2021-09-24 10:11:02.941030 : Epoch  5, Batch    594, Loss  1.451861, Average Loss  1.449022, Time  0.445306
2021-09-24 10:11:08.127022 : Epoch  5, Batch    642, Loss  1.446594, Average Loss  1.447949, Time  0.457647
2021-09-24 10:11:08.901807 : Epoch  5, Batch    595, Loss  1.457274, Average Loss  1.449017, Time  0.445447
2021-09-24 10:11:14.049460 : Epoch  5, Batch    643, Loss  1.455242, Average Loss  1.447986, Time  0.445155
2021-09-24 10:11:14.856015 : Epoch  5, Batch    596, Loss  1.442487, Average Loss  1.448944, Time  0.444152
2021-09-24 10:11:19.948194 : Epoch  5, Batch    644, Loss  1.452113, Average Loss  1.448075, Time  0.441211
2021-09-24 10:11:20.786407 : Epoch  5, Batch    597, Loss  1.458170, Average Loss  1.448951, Time  0.443662
2021-09-24 10:11:25.867817 : Epoch  5, Batch    645, Loss  1.449373, Average Loss  1.448047, Time  0.440958
2021-09-24 10:11:26.770123 : Epoch  5, Batch    598, Loss  1.455175, Average Loss  1.448963, Time  0.459090
2021-09-24 10:11:31.782781 : Epoch  5, Batch    646, Loss  1.458269, Average Loss  1.448075, Time  0.438499
2021-09-24 10:11:32.738014 : Epoch  5, Batch    599, Loss  1.455119, Average Loss  1.449022, Time  0.448216
2021-09-24 10:11:37.698490 : Epoch  5, Batch    647, Loss  1.441626, Average Loss  1.448108, Time  0.438563
2021-09-24 10:11:38.691401 : Epoch  5, Batch    600, Loss  1.444526, Average Loss  1.449016, Time  0.443649
2021-09-24 10:11:43.618451 : Epoch  5, Batch    648, Loss  1.452211, Average Loss  1.448168, Time  0.440822
2021-09-24 10:11:44.646752 : Epoch  5, Batch    601, Loss  1.440169, Average Loss  1.448972, Time  0.446400
2021-09-24 10:11:49.526457 : Epoch  5, Batch    649, Loss  1.445352, Average Loss  1.448126, Time  0.439119
2021-09-24 10:11:50.603791 : Epoch  5, Batch    602, Loss  1.451430, Average Loss  1.449013, Time  0.443799
2021-09-24 10:11:55.435018 : Epoch  5, Batch    650, Loss  1.457460, Average Loss  1.448176, Time  0.453750
2021-09-24 10:11:56.557929 : Epoch  5, Batch    603, Loss  1.456235, Average Loss  1.449053, Time  0.446289
2021-09-24 10:12:01.357314 : Epoch  5, Batch    651, Loss  1.440048, Average Loss  1.448179, Time  0.447341
2021-09-24 10:12:02.523469 : Epoch  5, Batch    604, Loss  1.448997, Average Loss  1.449051, Time  0.443980
2021-09-24 10:12:07.272564 : Epoch  5, Batch    652, Loss  1.438624, Average Loss  1.448134, Time  0.440605
2021-09-24 10:12:08.499325 : Epoch  5, Batch    605, Loss  1.450863, Average Loss  1.449131, Time  0.444065
2021-09-24 10:12:13.178726 : Epoch  5, Batch    653, Loss  1.459623, Average Loss  1.448280, Time  0.438611
2021-09-24 10:12:14.487812 : Epoch  5, Batch    606, Loss  1.449192, Average Loss  1.449103, Time  0.455359
2021-09-24 10:12:19.087384 : Epoch  5, Batch    654, Loss  1.449187, Average Loss  1.448219, Time  0.440845
2021-09-24 10:12:20.450015 : Epoch  5, Batch    607, Loss  1.438240, Average Loss  1.449078, Time  0.443816
2021-09-24 10:12:25.006859 : Epoch  5, Batch    655, Loss  1.447859, Average Loss  1.448210, Time  0.440814
2021-09-24 10:12:26.414888 : Epoch  5, Batch    608, Loss  1.443093, Average Loss  1.449076, Time  0.443635
2021-09-24 10:12:30.924236 : Epoch  5, Batch    656, Loss  1.445870, Average Loss  1.448188, Time  0.438791
2021-09-24 10:12:32.382857 : Epoch  5, Batch    609, Loss  1.452926, Average Loss  1.449113, Time  0.444486
2021-09-24 10:12:36.830255 : Epoch  5, Batch    657, Loss  1.438079, Average Loss  1.448110, Time  0.440671
2021-09-24 10:12:38.328505 : Epoch  5, Batch    610, Loss  1.451357, Average Loss  1.449120, Time  0.444273
2021-09-24 10:12:42.755860 : Epoch  5, Batch    658, Loss  1.452348, Average Loss  1.448139, Time  0.450066
2021-09-24 10:12:44.302904 : Epoch  5, Batch    611, Loss  1.458999, Average Loss  1.449132, Time  0.443030
2021-09-24 10:12:48.686091 : Epoch  5, Batch    659, Loss  1.451325, Average Loss  1.448067, Time  0.439133
2021-09-24 10:12:50.267453 : Epoch  5, Batch    612, Loss  1.437194, Average Loss  1.449055, Time  0.443570
2021-09-24 10:12:54.606224 : Epoch  5, Batch    660, Loss  1.440480, Average Loss  1.448075, Time  0.440976
2021-09-24 10:12:56.223876 : Epoch  5, Batch    613, Loss  1.448279, Average Loss  1.449053, Time  0.443212
2021-09-24 10:13:00.514699 : Epoch  5, Batch    661, Loss  1.441596, Average Loss  1.448032, Time  0.439802
2021-09-24 10:13:02.212924 : Epoch  5, Batch    614, Loss  1.452386, Average Loss  1.449054, Time  0.457808
2021-09-24 10:13:06.415709 : Epoch  5, Batch    662, Loss  1.451650, Average Loss  1.447989, Time  0.438977
2021-09-24 10:13:08.162619 : Epoch  5, Batch    615, Loss  1.453823, Average Loss  1.449049, Time  0.444262
2021-09-24 10:13:12.343577 : Epoch  5, Batch    663, Loss  1.429994, Average Loss  1.447891, Time  0.442364
2021-09-24 10:13:14.116852 : Epoch  5, Batch    616, Loss  1.451457, Average Loss  1.449047, Time  0.442520
2021-09-24 10:13:18.245345 : Epoch  5, Batch    664, Loss  1.453820, Average Loss  1.447967, Time  0.439695
2021-09-24 10:13:20.072811 : Epoch  5, Batch    617, Loss  1.446133, Average Loss  1.448982, Time  0.443696
2021-09-24 10:13:24.171406 : Epoch  5, Batch    665, Loss  1.438956, Average Loss  1.447954, Time  0.445865
2021-09-24 10:13:26.033661 : Epoch  5, Batch    618, Loss  1.451272, Average Loss  1.449015, Time  0.444461
2021-09-24 10:13:30.098163 : Epoch  5, Batch    666, Loss  1.456451, Average Loss  1.448007, Time  0.447475
2021-09-24 10:13:31.997496 : Epoch  5, Batch    619, Loss  1.451629, Average Loss  1.448988, Time  0.445392
2021-09-24 10:13:36.017962 : Epoch  5, Batch    667, Loss  1.449865, Average Loss  1.447962, Time  0.438929
2021-09-24 10:13:37.959272 : Epoch  5, Batch    620, Loss  1.451411, Average Loss  1.449060, Time  0.442945
2021-09-24 10:13:41.935172 : Epoch  5, Batch    668, Loss  1.438592, Average Loss  1.447965, Time  0.438920
2021-09-24 10:13:43.922548 : Epoch  5, Batch    621, Loss  1.444891, Average Loss  1.449054, Time  0.451933
2021-09-24 10:13:47.885733 : Epoch  5, Batch    669, Loss  1.451107, Average Loss  1.447936, Time  0.445243
2021-09-24 10:13:49.873654 : Epoch  5, Batch    622, Loss  1.445802, Average Loss  1.449030, Time  0.444048
2021-09-24 10:13:53.814885 : Epoch  5, Batch    670, Loss  1.450971, Average Loss  1.447930, Time  0.446837
2021-09-24 10:13:55.820576 : Epoch  5, Batch    623, Loss  1.448762, Average Loss  1.448971, Time  0.447199
2021-09-24 10:13:59.721359 : Epoch  5, Batch    671, Loss  1.434530, Average Loss  1.447882, Time  0.443358
2021-09-24 10:14:01.772022 : Epoch  5, Batch    624, Loss  1.448621, Average Loss  1.448989, Time  0.444011
2021-09-24 10:14:05.627891 : Epoch  5, Batch    672, Loss  1.435364, Average Loss  1.447832, Time  0.443238
2021-09-24 10:14:07.724811 : Epoch  5, Batch    625, Loss  1.448913, Average Loss  1.449040, Time  0.446170
2021-09-24 10:14:11.536591 : Epoch  5, Batch    673, Loss  1.454223, Average Loss  1.447856, Time  0.440547
2021-09-24 10:14:13.693353 : Epoch  5, Batch    626, Loss  1.456083, Average Loss  1.449082, Time  0.443286
2021-09-24 10:14:17.452227 : Epoch  5, Batch    674, Loss  1.453764, Average Loss  1.447890, Time  0.453340
2021-09-24 10:14:19.650797 : Epoch  5, Batch    627, Loss  1.445779, Average Loss  1.449025, Time  0.444932
2021-09-24 10:14:23.394627 : Epoch  5, Batch    675, Loss  1.435479, Average Loss  1.447821, Time  0.446036
2021-09-24 10:14:25.603095 : Epoch  5, Batch    628, Loss  1.457124, Average Loss  1.449080, Time  0.443301
2021-09-24 10:14:29.303025 : Epoch  5, Batch    676, Loss  1.459250, Average Loss  1.447930, Time  0.438449
2021-09-24 10:14:31.582985 : Epoch  5, Batch    629, Loss  1.451301, Average Loss  1.449129, Time  0.460215
2021-09-24 10:14:35.234390 : Epoch  5, Batch    677, Loss  1.448163, Average Loss  1.447909, Time  0.439859
2021-09-24 10:14:37.559810 : Epoch  5, Batch    630, Loss  1.448759, Average Loss  1.449141, Time  0.446279
2021-09-24 10:14:41.146745 : Epoch  5, Batch    678, Loss  1.449960, Average Loss  1.447888, Time  0.439169
2021-09-24 10:14:43.518808 : Epoch  5, Batch    631, Loss  1.445334, Average Loss  1.449057, Time  0.443581
2021-09-24 10:14:47.066987 : Epoch  5, Batch    679, Loss  1.434863, Average Loss  1.447780, Time  0.438954
2021-09-24 10:14:49.479479 : Epoch  5, Batch    632, Loss  1.442493, Average Loss  1.449061, Time  0.445367
2021-09-24 10:14:52.978856 : Epoch  5, Batch    680, Loss  1.441741, Average Loss  1.447693, Time  0.441081
2021-09-24 10:14:55.430377 : Epoch  5, Batch    633, Loss  1.448417, Average Loss  1.449078, Time  0.445127
2021-09-24 10:14:58.913076 : Epoch  5, Batch    681, Loss  1.442769, Average Loss  1.447608, Time  0.439440
2021-09-24 10:15:01.385821 : Epoch  5, Batch    634, Loss  1.433757, Average Loss  1.449028, Time  0.445148
2021-09-24 10:15:04.824915 : Epoch  5, Batch    682, Loss  1.441081, Average Loss  1.447596, Time  0.451152
2021-09-24 10:15:07.346663 : Epoch  5, Batch    635, Loss  1.443579, Average Loss  1.449030, Time  0.444087
2021-09-24 10:15:10.753415 : Epoch  5, Batch    683, Loss  1.465979, Average Loss  1.447679, Time  0.441389
2021-09-24 10:15:13.319891 : Epoch  5, Batch    636, Loss  1.451571, Average Loss  1.449026, Time  0.443914
2021-09-24 10:15:16.676219 : Epoch  5, Batch    684, Loss  1.450634, Average Loss  1.447666, Time  0.441457
2021-09-24 10:15:19.306494 : Epoch  5, Batch    637, Loss  1.435152, Average Loss  1.448987, Time  0.457202
2021-09-24 10:15:22.594542 : Epoch  5, Batch    685, Loss  1.446920, Average Loss  1.447664, Time  0.442188
2021-09-24 10:15:25.256399 : Epoch  5, Batch    638, Loss  1.447540, Average Loss  1.448955, Time  0.445601
2021-09-24 10:15:28.493743 : Epoch  5, Batch    686, Loss  1.447339, Average Loss  1.447695, Time  0.440799
2021-09-24 10:15:31.211374 : Epoch  5, Batch    639, Loss  1.455134, Average Loss  1.449024, Time  0.444293
2021-09-24 10:15:34.422004 : Epoch  5, Batch    687, Loss  1.448507, Average Loss  1.447728, Time  0.439074
2021-09-24 10:15:37.172600 : Epoch  5, Batch    640, Loss  1.444669, Average Loss  1.449006, Time  0.445420
2021-09-24 10:15:40.338439 : Epoch  5, Batch    688, Loss  1.467124, Average Loss  1.447851, Time  0.439062
2021-09-24 10:15:43.146512 : Epoch  5, Batch    641, Loss  1.453018, Average Loss  1.448998, Time  0.445182
2021-09-24 10:15:49.116857 : Epoch  5, Batch    642, Loss  1.441856, Average Loss  1.448992, Time  0.444721
2021-09-24 10:15:55.063593 : Epoch  5, Batch    643, Loss  1.440276, Average Loss  1.448940, Time  0.445918
2021-09-24 10:16:01.044442 : Epoch  5, Batch    644, Loss  1.442828, Average Loss  1.448910, Time  0.458611
2021-09-24 10:16:07.018437 : Epoch  5, Batch    645, Loss  1.448113, Average Loss  1.448869, Time  0.448046
2021-09-24 10:16:12.982874 : Epoch  5, Batch    646, Loss  1.442474, Average Loss  1.448777, Time  0.445090
2021-09-24 10:16:18.952824 : Epoch  5, Batch    647, Loss  1.442846, Average Loss  1.448735, Time  0.443948
2021-09-24 10:16:24.910741 : Epoch  5, Batch    648, Loss  1.444647, Average Loss  1.448678, Time  0.446346
2021-09-24 10:16:30.871216 : Epoch  5, Batch    649, Loss  1.454853, Average Loss  1.448681, Time  0.445249
2021-09-24 10:16:36.805677 : Epoch  5, Batch    650, Loss  1.449960, Average Loss  1.448664, Time  0.443568
2021-09-24 10:16:42.763690 : Epoch  5, Batch    651, Loss  1.462498, Average Loss  1.448816, Time  0.447497
2021-09-24 10:16:48.736748 : Epoch  5, Batch    652, Loss  1.463639, Average Loss  1.448815, Time  0.453861
2021-09-24 10:16:54.698080 : Epoch  5, Batch    653, Loss  1.438823, Average Loss  1.448773, Time  0.444595
2021-09-24 10:17:00.668465 : Epoch  5, Batch    654, Loss  1.443185, Average Loss  1.448721, Time  0.452012
2021-09-24 10:17:06.629259 : Epoch  5, Batch    655, Loss  1.452271, Average Loss  1.448667, Time  0.444569
2021-09-24 10:17:12.585813 : Epoch  5, Batch    656, Loss  1.442048, Average Loss  1.448618, Time  0.443948
2021-09-24 10:17:18.533775 : Epoch  5, Batch    657, Loss  1.432449, Average Loss  1.448475, Time  0.445340
2021-09-24 10:17:24.491253 : Epoch  5, Batch    658, Loss  1.448211, Average Loss  1.448557, Time  0.444473
2021-09-24 10:17:30.448995 : Epoch  5, Batch    659, Loss  1.432727, Average Loss  1.448417, Time  0.445693
2021-09-24 10:17:36.424882 : Epoch  5, Batch    660, Loss  1.454248, Average Loss  1.448454, Time  0.459185
2021-09-24 10:17:42.392913 : Epoch  5, Batch    661, Loss  1.455407, Average Loss  1.448464, Time  0.445865
2021-09-24 10:17:48.347732 : Epoch  5, Batch    662, Loss  1.451163, Average Loss  1.448474, Time  0.447971
2021-09-24 10:17:54.301270 : Epoch  5, Batch    663, Loss  1.447234, Average Loss  1.448446, Time  0.443772
2021-09-24 10:18:00.267563 : Epoch  5, Batch    664, Loss  1.437227, Average Loss  1.448385, Time  0.447098
2021-09-24 10:18:06.223396 : Epoch  5, Batch    665, Loss  1.445522, Average Loss  1.448396, Time  0.443270
2021-09-24 10:18:12.190580 : Epoch  5, Batch    666, Loss  1.445217, Average Loss  1.448373, Time  0.446372
2021-09-24 10:18:18.172663 : Epoch  5, Batch    667, Loss  1.456342, Average Loss  1.448405, Time  0.445573
2021-09-24 10:18:24.132577 : Epoch  5, Batch    668, Loss  1.445692, Average Loss  1.448494, Time  0.454702
2021-09-24 10:18:30.077746 : Epoch  5, Batch    669, Loss  1.450122, Average Loss  1.448510, Time  0.446376
2021-09-24 10:18:36.026001 : Epoch  5, Batch    670, Loss  1.445912, Average Loss  1.448444, Time  0.444057
2021-09-24 10:18:41.985614 : Epoch  5, Batch    671, Loss  1.443380, Average Loss  1.448424, Time  0.450274
2021-09-24 10:18:47.947860 : Epoch  5, Batch    672, Loss  1.452382, Average Loss  1.448454, Time  0.444877
2021-09-24 10:18:53.907853 : Epoch  5, Batch    673, Loss  1.434209, Average Loss  1.448340, Time  0.446101
2021-09-24 10:18:59.882409 : Epoch  5, Batch    674, Loss  1.453962, Average Loss  1.448428, Time  0.446522
2021-09-24 10:19:05.861734 : Epoch  5, Batch    675, Loss  1.438846, Average Loss  1.448403, Time  0.458850
2021-09-24 10:19:11.827260 : Epoch  5, Batch    676, Loss  1.433517, Average Loss  1.448318, Time  0.444028
2021-09-24 10:19:17.796553 : Epoch  5, Batch    677, Loss  1.448992, Average Loss  1.448317, Time  0.446177
2021-09-24 10:19:23.765636 : Epoch  5, Batch    678, Loss  1.437156, Average Loss  1.448261, Time  0.445085
2021-09-24 10:19:29.728755 : Epoch  5, Batch    679, Loss  1.457883, Average Loss  1.448416, Time  0.445707
2021-09-24 10:19:35.699802 : Epoch  5, Batch    680, Loss  1.452172, Average Loss  1.448389, Time  0.446203
2021-09-24 10:19:41.660282 : Epoch  5, Batch    681, Loss  1.443106, Average Loss  1.448426, Time  0.443461
2021-09-24 10:19:47.624810 : Epoch  5, Batch    682, Loss  1.450798, Average Loss  1.448449, Time  0.446016
2021-09-24 10:19:53.595079 : Epoch  5, Batch    683, Loss  1.453299, Average Loss  1.448506, Time  0.449592
2021-09-24 10:19:59.559939 : Epoch  5, Batch    684, Loss  1.458060, Average Loss  1.448535, Time  0.443118
2021-09-24 10:20:05.511816 : Epoch  5, Batch    685, Loss  1.450052, Average Loss  1.448548, Time  0.447371
2021-09-24 10:20:11.479970 : Epoch  5, Batch    686, Loss  1.461006, Average Loss  1.448650, Time  0.445110
2021-09-24 10:20:17.443601 : Epoch  5, Batch    687, Loss  1.441176, Average Loss  1.448621, Time  0.445023
2021-09-24 10:20:18.574696 : CheckPoint: Validation Loss  0.00024926, Best Loss  0.00024726
2021-09-24 10:20:23.407931 : Epoch  5, Batch    688, Loss  1.440513, Average Loss  1.448553, Time  0.446231
2021-09-24 10:20:24.517090 : Epoch  5, Batch    689, Loss  1.448370, Average Loss  1.447792, Time  0.451160
2021-09-24 10:20:30.449906 : Epoch  5, Batch    690, Loss  1.446420, Average Loss  1.447748, Time  0.439612
2021-09-24 10:20:36.382866 : Epoch  5, Batch    691, Loss  1.447044, Average Loss  1.447750, Time  0.441834
2021-09-24 10:20:42.308147 : Epoch  5, Batch    692, Loss  1.452144, Average Loss  1.447816, Time  0.439093
2021-09-24 10:20:48.232421 : Epoch  5, Batch    693, Loss  1.447313, Average Loss  1.447808, Time  0.439501
2021-09-24 10:20:54.164823 : Epoch  5, Batch    694, Loss  1.457279, Average Loss  1.447833, Time  0.441611
2021-09-24 10:21:00.072694 : Epoch  5, Batch    695, Loss  1.453666, Average Loss  1.447845, Time  0.439379
2021-09-24 10:21:05.988837 : Epoch  5, Batch    696, Loss  1.446843, Average Loss  1.447805, Time  0.439979
2021-09-24 10:21:11.916952 : Epoch  5, Batch    697, Loss  1.435925, Average Loss  1.447733, Time  0.452612
2021-09-24 10:21:17.822381 : Epoch  5, Batch    698, Loss  1.443742, Average Loss  1.447730, Time  0.438946
2021-09-24 10:21:23.741330 : Epoch  5, Batch    699, Loss  1.446839, Average Loss  1.447770, Time  0.438920
2021-09-24 10:21:29.656701 : Epoch  5, Batch    700, Loss  1.458396, Average Loss  1.447847, Time  0.440116
2021-09-24 10:21:35.571353 : Epoch  5, Batch    701, Loss  1.445817, Average Loss  1.447802, Time  0.438936
2021-09-24 10:21:41.489444 : Epoch  5, Batch    702, Loss  1.453359, Average Loss  1.447858, Time  0.440286
2021-09-24 10:21:47.394957 : Epoch  5, Batch    703, Loss  1.465491, Average Loss  1.447908, Time  0.438571
2021-09-24 10:21:53.331327 : Epoch  5, Batch    704, Loss  1.443558, Average Loss  1.447882, Time  0.454073
2021-09-24 10:21:59.256959 : Epoch  5, Batch    705, Loss  1.424726, Average Loss  1.447721, Time  0.439865
2021-09-24 10:22:05.161180 : Epoch  5, Batch    706, Loss  1.460085, Average Loss  1.447742, Time  0.440239
2021-09-24 10:22:11.069636 : Epoch  5, Batch    707, Loss  1.452584, Average Loss  1.447741, Time  0.438501
2021-09-24 10:22:16.991282 : Epoch  5, Batch    708, Loss  1.443612, Average Loss  1.447764, Time  0.438794
2021-09-24 10:22:22.906866 : Epoch  5, Batch    709, Loss  1.452622, Average Loss  1.447847, Time  0.441575
2021-09-24 10:22:28.826692 : Epoch  5, Batch    710, Loss  1.450731, Average Loss  1.447805, Time  0.440825
2021-09-24 10:22:34.749668 : Epoch  5, Batch    711, Loss  1.447014, Average Loss  1.447786, Time  0.440737
2021-09-24 10:22:40.676843 : Epoch  5, Batch    712, Loss  1.459961, Average Loss  1.447856, Time  0.453383
2021-09-24 10:22:46.589103 : Epoch  5, Batch    713, Loss  1.448885, Average Loss  1.447870, Time  0.438546
2021-09-24 10:22:52.504454 : Epoch  5, Batch    714, Loss  1.443757, Average Loss  1.447834, Time  0.440310
2021-09-24 10:22:58.423786 : Epoch  5, Batch    715, Loss  1.448615, Average Loss  1.447855, Time  0.438415
2021-09-24 10:23:04.339812 : Epoch  5, Batch    716, Loss  1.439254, Average Loss  1.447814, Time  0.443345
2021-09-24 10:23:10.253873 : Epoch  5, Batch    717, Loss  1.448401, Average Loss  1.447821, Time  0.439129
2021-09-24 10:23:16.176683 : Epoch  5, Batch    718, Loss  1.453027, Average Loss  1.447867, Time  0.439306
2021-09-24 10:23:22.090297 : Epoch  5, Batch    719, Loss  1.450206, Average Loss  1.447899, Time  0.440913
2021-09-24 10:23:28.025967 : Epoch  5, Batch    720, Loss  1.446289, Average Loss  1.447895, Time  0.448258
2021-09-24 10:23:33.951277 : Epoch  5, Batch    721, Loss  1.451703, Average Loss  1.447901, Time  0.440071
2021-09-24 10:23:39.868909 : Epoch  5, Batch    722, Loss  1.446281, Average Loss  1.447895, Time  0.439568
2021-09-24 10:23:45.783985 : Epoch  5, Batch    723, Loss  1.445970, Average Loss  1.447878, Time  0.439838
2021-09-24 10:23:51.727380 : Epoch  5, Batch    724, Loss  1.436134, Average Loss  1.447803, Time  0.439309
2021-09-24 10:23:57.642692 : Epoch  5, Batch    725, Loss  1.440880, Average Loss  1.447806, Time  0.438491
2021-09-24 10:24:03.580981 : Epoch  5, Batch    726, Loss  1.435133, Average Loss  1.447722, Time  0.441646
2021-09-24 10:24:09.501927 : Epoch  5, Batch    727, Loss  1.463724, Average Loss  1.447796, Time  0.438830
2021-09-24 10:24:15.428232 : Epoch  5, Batch    728, Loss  1.437763, Average Loss  1.447772, Time  0.451242
2021-09-24 10:24:21.354992 : Epoch  5, Batch    729, Loss  1.448186, Average Loss  1.447753, Time  0.446234
2021-09-24 10:24:27.285247 : Epoch  5, Batch    730, Loss  1.447273, Average Loss  1.447741, Time  0.439555
2021-09-24 10:24:33.220437 : Epoch  5, Batch    731, Loss  1.446664, Average Loss  1.447768, Time  0.439756
2021-09-24 10:24:39.143974 : Epoch  5, Batch    732, Loss  1.433672, Average Loss  1.447677, Time  0.438839
2021-09-24 10:24:45.049332 : Epoch  5, Batch    733, Loss  1.439817, Average Loss  1.447652, Time  0.439677
2021-09-24 10:24:50.970965 : Epoch  5, Batch    734, Loss  1.458737, Average Loss  1.447680, Time  0.441049
2021-09-24 10:24:56.884680 : Epoch  5, Batch    735, Loss  1.460379, Average Loss  1.447699, Time  0.439608
2021-09-24 10:25:02.420644 : CheckPoint: Validation Loss  0.00025659, Best Loss  0.00024587
2021-09-24 10:25:02.817878 : Epoch  5, Batch    736, Loss  1.456603, Average Loss  1.447707, Time  0.445052
2021-09-24 10:25:08.388610 : Epoch  5, Batch    689, Loss  1.435979, Average Loss  1.448443, Time  0.443913
2021-09-24 10:25:08.720944 : Epoch  5, Batch    737, Loss  1.435869, Average Loss  1.447651, Time  0.446020
2021-09-24 10:25:14.352393 : Epoch  5, Batch    690, Loss  1.441325, Average Loss  1.448330, Time  0.459142
2021-09-24 10:25:14.634483 : Epoch  5, Batch    738, Loss  1.454492, Average Loss  1.447690, Time  0.444669
2021-09-24 10:25:20.304859 : Epoch  5, Batch    691, Loss  1.457654, Average Loss  1.448430, Time  0.443830
2021-09-24 10:25:20.526601 : Epoch  5, Batch    739, Loss  1.443012, Average Loss  1.447678, Time  0.438434
2021-09-24 10:25:26.264240 : Epoch  5, Batch    692, Loss  1.459123, Average Loss  1.448470, Time  0.445977
2021-09-24 10:25:26.416807 : Epoch  5, Batch    740, Loss  1.456791, Average Loss  1.447747, Time  0.438966
2021-09-24 10:25:32.219323 : Epoch  5, Batch    693, Loss  1.454076, Average Loss  1.448498, Time  0.446777
2021-09-24 10:25:32.335734 : Epoch  5, Batch    741, Loss  1.439117, Average Loss  1.447658, Time  0.447590
2021-09-24 10:25:38.170316 : Epoch  5, Batch    694, Loss  1.444721, Average Loss  1.448532, Time  0.444125
2021-09-24 10:25:38.229348 : Epoch  5, Batch    742, Loss  1.442299, Average Loss  1.447675, Time  0.439462
2021-09-24 10:25:44.128827 : Epoch  5, Batch    695, Loss  1.452693, Average Loss  1.448492, Time  0.442957
2021-09-24 10:25:44.170476 : Epoch  5, Batch    743, Loss  1.453479, Average Loss  1.447715, Time  0.441391
2021-09-24 10:25:50.077906 : Epoch  5, Batch    744, Loss  1.450271, Average Loss  1.447725, Time  0.448208
2021-09-24 10:25:50.114800 : Epoch  5, Batch    696, Loss  1.438176, Average Loss  1.448466, Time  0.443282
2021-09-24 10:25:56.024425 : Epoch  5, Batch    745, Loss  1.431038, Average Loss  1.447658, Time  0.438990
2021-09-24 10:25:56.076212 : Epoch  5, Batch    697, Loss  1.448474, Average Loss  1.448435, Time  0.443615
2021-09-24 10:26:01.938044 : Epoch  5, Batch    746, Loss  1.441699, Average Loss  1.447587, Time  0.439164
2021-09-24 10:26:02.040519 : Epoch  5, Batch    698, Loss  1.436593, Average Loss  1.448336, Time  0.457901
2021-09-24 10:26:07.845352 : Epoch  5, Batch    747, Loss  1.452685, Average Loss  1.447601, Time  0.439378
2021-09-24 10:26:08.002775 : Epoch  5, Batch    699, Loss  1.455021, Average Loss  1.448368, Time  0.444445
2021-09-24 10:26:13.767520 : Epoch  5, Batch    748, Loss  1.448656, Average Loss  1.447642, Time  0.440415
2021-09-24 10:26:13.952922 : Epoch  5, Batch    700, Loss  1.439205, Average Loss  1.448369, Time  0.444881
2021-09-24 10:26:19.687592 : Epoch  5, Batch    749, Loss  1.447653, Average Loss  1.447698, Time  0.444561
2021-09-24 10:26:19.891296 : Epoch  5, Batch    701, Loss  1.452678, Average Loss  1.448400, Time  0.446302
2021-09-24 10:26:25.601171 : Epoch  5, Batch    750, Loss  1.452606, Average Loss  1.447739, Time  0.441629
2021-09-24 10:26:25.836040 : Epoch  5, Batch    702, Loss  1.448822, Average Loss  1.448393, Time  0.447055
2021-09-24 10:26:31.520227 : Epoch  5, Batch    751, Loss  1.447242, Average Loss  1.447735, Time  0.438829
2021-09-24 10:26:31.787240 : Epoch  5, Batch    703, Loss  1.454027, Average Loss  1.448424, Time  0.445939
2021-09-24 10:26:37.449106 : Epoch  5, Batch    752, Loss  1.452497, Average Loss  1.447803, Time  0.453537
2021-09-24 10:26:37.724718 : Epoch  5, Batch    704, Loss  1.450982, Average Loss  1.448439, Time  0.445485
2021-09-24 10:26:43.374869 : Epoch  5, Batch    753, Loss  1.451558, Average Loss  1.447792, Time  0.446921
2021-09-24 10:26:43.675489 : Epoch  5, Batch    705, Loss  1.442975, Average Loss  1.448397, Time  0.445008
2021-09-24 10:26:49.291617 : Epoch  5, Batch    754, Loss  1.436750, Average Loss  1.447736, Time  0.442246
2021-09-24 10:26:49.625637 : Epoch  5, Batch    706, Loss  1.451869, Average Loss  1.448419, Time  0.457532
2021-09-24 10:26:55.218700 : Epoch  5, Batch    755, Loss  1.445688, Average Loss  1.447718, Time  0.442499
2021-09-24 10:26:55.591461 : Epoch  5, Batch    707, Loss  1.457047, Average Loss  1.448501, Time  0.443991
2021-09-24 10:27:01.127211 : Epoch  5, Batch    756, Loss  1.445511, Average Loss  1.447705, Time  0.440069
2021-09-24 10:27:01.530565 : Epoch  5, Batch    708, Loss  1.435408, Average Loss  1.448429, Time  0.444108
2021-09-24 10:27:07.044006 : Epoch  5, Batch    757, Loss  1.455746, Average Loss  1.447687, Time  0.439809
2021-09-24 10:27:07.469067 : Epoch  5, Batch    709, Loss  1.454529, Average Loss  1.448455, Time  0.444052
2021-09-24 10:27:12.957546 : Epoch  5, Batch    758, Loss  1.450786, Average Loss  1.447705, Time  0.440215
2021-09-24 10:27:13.403811 : Epoch  5, Batch    710, Loss  1.440058, Average Loss  1.448424, Time  0.445022
2021-09-24 10:27:18.871246 : Epoch  5, Batch    759, Loss  1.437228, Average Loss  1.447623, Time  0.439403
2021-09-24 10:27:19.348814 : Epoch  5, Batch    711, Loss  1.453076, Average Loss  1.448437, Time  0.444864
2021-09-24 10:27:24.796129 : Epoch  5, Batch    760, Loss  1.460832, Average Loss  1.447713, Time  0.451112
2021-09-24 10:27:25.282711 : Epoch  5, Batch    712, Loss  1.434294, Average Loss  1.448357, Time  0.445744
2021-09-24 10:27:30.728508 : Epoch  5, Batch    761, Loss  1.448992, Average Loss  1.447738, Time  0.441692
2021-09-24 10:27:31.245615 : Epoch  5, Batch    713, Loss  1.450155, Average Loss  1.448373, Time  0.447839
2021-09-24 10:27:36.644849 : Epoch  5, Batch    762, Loss  1.441954, Average Loss  1.447738, Time  0.439753
2021-09-24 10:27:37.205340 : Epoch  5, Batch    714, Loss  1.453342, Average Loss  1.448402, Time  0.468621
2021-09-24 10:27:42.562838 : Epoch  5, Batch    763, Loss  1.442878, Average Loss  1.447644, Time  0.440864
2021-09-24 10:27:43.165658 : Epoch  5, Batch    715, Loss  1.452969, Average Loss  1.448378, Time  0.443242
2021-09-24 10:27:48.483545 : Epoch  5, Batch    764, Loss  1.448707, Average Loss  1.447595, Time  0.438754
2021-09-24 10:27:49.166842 : Epoch  5, Batch    716, Loss  1.442809, Average Loss  1.448370, Time  0.445264
2021-09-24 10:27:54.401463 : Epoch  5, Batch    765, Loss  1.445444, Average Loss  1.447575, Time  0.439401
2021-09-24 10:27:55.121367 : Epoch  5, Batch    717, Loss  1.443776, Average Loss  1.448220, Time  0.447805
2021-09-24 10:28:00.307097 : Epoch  5, Batch    766, Loss  1.443413, Average Loss  1.447562, Time  0.442450
2021-09-24 10:28:01.072569 : Epoch  5, Batch    718, Loss  1.447041, Average Loss  1.448252, Time  0.446927
2021-09-24 10:28:06.210256 : Epoch  5, Batch    767, Loss  1.453925, Average Loss  1.447576, Time  0.440026
2021-09-24 10:28:07.028646 : Epoch  5, Batch    719, Loss  1.454568, Average Loss  1.448254, Time  0.446913
2021-09-24 10:28:12.146567 : Epoch  5, Batch    768, Loss  1.457168, Average Loss  1.447608, Time  0.453981
2021-09-24 10:28:12.985825 : Epoch  5, Batch    720, Loss  1.453521, Average Loss  1.448299, Time  0.443330
2021-09-24 10:28:18.064830 : Epoch  5, Batch    769, Loss  1.441236, Average Loss  1.447600, Time  0.439273
2021-09-24 10:28:18.952938 : Epoch  5, Batch    721, Loss  1.443523, Average Loss  1.448247, Time  0.450866
2021-09-24 10:28:23.982904 : Epoch  5, Batch    770, Loss  1.445345, Average Loss  1.447555, Time  0.438947
2021-09-24 10:28:24.909358 : Epoch  5, Batch    722, Loss  1.443026, Average Loss  1.448187, Time  0.444797
2021-09-24 10:28:29.899839 : Epoch  5, Batch    771, Loss  1.452564, Average Loss  1.447603, Time  0.439249
2021-09-24 10:28:30.872935 : Epoch  5, Batch    723, Loss  1.443112, Average Loss  1.448178, Time  0.444374
2021-09-24 10:28:35.844752 : Epoch  5, Batch    772, Loss  1.444986, Average Loss  1.447691, Time  0.439033
2021-09-24 10:28:36.821849 : Epoch  5, Batch    724, Loss  1.460311, Average Loss  1.448280, Time  0.443650
2021-09-24 10:28:41.756071 : Epoch  5, Batch    773, Loss  1.443432, Average Loss  1.447678, Time  0.438675
2021-09-24 10:28:42.778784 : Epoch  5, Batch    725, Loss  1.457148, Average Loss  1.448335, Time  0.446187
2021-09-24 10:28:47.676798 : Epoch  5, Batch    774, Loss  1.433270, Average Loss  1.447619, Time  0.440177
2021-09-24 10:28:48.742367 : Epoch  5, Batch    726, Loss  1.445158, Average Loss  1.448344, Time  0.444010
2021-09-24 10:28:53.601363 : Epoch  5, Batch    775, Loss  1.436586, Average Loss  1.447571, Time  0.440383
2021-09-24 10:28:54.716477 : Epoch  5, Batch    727, Loss  1.440638, Average Loss  1.448306, Time  0.445662
2021-09-24 10:28:59.542919 : Epoch  5, Batch    776, Loss  1.457192, Average Loss  1.447656, Time  0.458060
2021-09-24 10:29:00.681218 : Epoch  5, Batch    728, Loss  1.462306, Average Loss  1.448383, Time  0.444235
2021-09-24 10:29:05.451846 : Epoch  5, Batch    777, Loss  1.435449, Average Loss  1.447590, Time  0.439918
2021-09-24 10:29:06.702498 : Epoch  5, Batch    729, Loss  1.448161, Average Loss  1.448341, Time  0.457577
2021-09-24 10:29:11.371927 : Epoch  5, Batch    778, Loss  1.446348, Average Loss  1.447559, Time  0.438382
2021-09-24 10:29:12.671189 : Epoch  5, Batch    730, Loss  1.461725, Average Loss  1.448361, Time  0.444833
2021-09-24 10:29:17.289392 : Epoch  5, Batch    779, Loss  1.449593, Average Loss  1.447588, Time  0.438587
2021-09-24 10:29:18.634365 : Epoch  5, Batch    731, Loss  1.458937, Average Loss  1.448382, Time  0.445583
2021-09-24 10:29:23.198027 : Epoch  5, Batch    780, Loss  1.448573, Average Loss  1.447514, Time  0.439150
2021-09-24 10:29:24.600747 : Epoch  5, Batch    732, Loss  1.458338, Average Loss  1.448346, Time  0.443836
2021-09-24 10:29:29.122767 : Epoch  5, Batch    781, Loss  1.444174, Average Loss  1.447510, Time  0.439264
2021-09-24 10:29:30.578655 : Epoch  5, Batch    733, Loss  1.460971, Average Loss  1.448503, Time  0.447862
2021-09-24 10:29:35.039504 : Epoch  5, Batch    782, Loss  1.446650, Average Loss  1.447530, Time  0.439269
2021-09-24 10:29:36.526477 : Epoch  5, Batch    734, Loss  1.458105, Average Loss  1.448505, Time  0.443698
2021-09-24 10:29:40.954777 : Epoch  5, Batch    783, Loss  1.448080, Average Loss  1.447524, Time  0.447730
2021-09-24 10:29:42.490523 : Epoch  5, Batch    735, Loss  1.454610, Average Loss  1.448559, Time  0.443003
2021-09-24 10:29:46.860841 : Epoch  5, Batch    784, Loss  1.449427, Average Loss  1.447527, Time  0.451637
2021-09-24 10:29:48.468341 : Epoch  5, Batch    736, Loss  1.450845, Average Loss  1.448576, Time  0.443995
2021-09-24 10:29:52.761689 : Epoch  5, Batch    785, Loss  1.452087, Average Loss  1.447559, Time  0.442851
2021-09-24 10:29:54.427934 : Epoch  5, Batch    737, Loss  1.461745, Average Loss  1.448644, Time  0.461102
2021-09-24 10:29:58.668178 : Epoch  5, Batch    786, Loss  1.457991, Average Loss  1.447642, Time  0.438698
2021-09-24 10:30:00.361119 : Epoch  5, Batch    738, Loss  1.440151, Average Loss  1.448618, Time  0.443725
2021-09-24 10:30:04.575969 : Epoch  5, Batch    787, Loss  1.447077, Average Loss  1.447679, Time  0.439276
2021-09-24 10:30:06.309463 : Epoch  5, Batch    739, Loss  1.448701, Average Loss  1.448647, Time  0.444442
2021-09-24 10:30:10.502605 : Epoch  5, Batch    788, Loss  1.456178, Average Loss  1.447678, Time  0.441526
2021-09-24 10:30:12.289168 : Epoch  5, Batch    740, Loss  1.440244, Average Loss  1.448570, Time  0.446263
2021-09-24 10:30:18.254654 : Epoch  5, Batch    741, Loss  1.466493, Average Loss  1.448648, Time  0.449382
2021-09-24 10:30:24.214695 : Epoch  5, Batch    742, Loss  1.446648, Average Loss  1.448682, Time  0.444789
2021-09-24 10:30:30.167514 : Epoch  5, Batch    743, Loss  1.463116, Average Loss  1.448751, Time  0.444719
2021-09-24 10:30:36.139681 : Epoch  5, Batch    744, Loss  1.451356, Average Loss  1.448745, Time  0.452626
2021-09-24 10:30:42.100905 : Epoch  5, Batch    745, Loss  1.448927, Average Loss  1.448708, Time  0.446093
2021-09-24 10:30:48.057514 : Epoch  5, Batch    746, Loss  1.445221, Average Loss  1.448703, Time  0.443591
2021-09-24 10:30:53.999314 : Epoch  5, Batch    747, Loss  1.457213, Average Loss  1.448743, Time  0.443216
2021-09-24 10:30:59.946657 : Epoch  5, Batch    748, Loss  1.446514, Average Loss  1.448717, Time  0.442935
2021-09-24 10:31:05.894915 : Epoch  5, Batch    749, Loss  1.437172, Average Loss  1.448730, Time  0.443380
2021-09-24 10:31:11.856911 : Epoch  5, Batch    750, Loss  1.457577, Average Loss  1.448745, Time  0.445524
2021-09-24 10:31:17.829564 : Epoch  5, Batch    751, Loss  1.440636, Average Loss  1.448624, Time  0.446881
2021-09-24 10:31:23.810829 : Epoch  5, Batch    752, Loss  1.458982, Average Loss  1.448704, Time  0.461065
2021-09-24 10:31:29.774825 : Epoch  5, Batch    753, Loss  1.427598, Average Loss  1.448635, Time  0.444442
2021-09-24 10:31:35.737573 : Epoch  5, Batch    754, Loss  1.440073, Average Loss  1.448574, Time  0.444803
2021-09-24 10:31:41.698360 : Epoch  5, Batch    755, Loss  1.440373, Average Loss  1.448500, Time  0.444789
2021-09-24 10:31:47.667048 : Epoch  5, Batch    756, Loss  1.438692, Average Loss  1.448520, Time  0.444310
2021-09-24 10:31:53.635777 : Epoch  5, Batch    757, Loss  1.443107, Average Loss  1.448433, Time  0.444473
2021-09-24 10:31:59.597067 : Epoch  5, Batch    758, Loss  1.448761, Average Loss  1.448416, Time  0.443654
2021-09-24 10:32:05.564570 : Epoch  5, Batch    759, Loss  1.452739, Average Loss  1.448415, Time  0.444844
2021-09-24 10:32:11.526170 : Epoch  5, Batch    760, Loss  1.451616, Average Loss  1.448409, Time  0.455620
2021-09-24 10:32:17.488777 : Epoch  5, Batch    761, Loss  1.441669, Average Loss  1.448368, Time  0.443703
2021-09-24 10:32:23.458336 : Epoch  5, Batch    762, Loss  1.458303, Average Loss  1.448419, Time  0.445509
2021-09-24 10:32:29.412438 : Epoch  5, Batch    763, Loss  1.453735, Average Loss  1.448475, Time  0.443730
2021-09-24 10:32:35.377763 : Epoch  5, Batch    764, Loss  1.457684, Average Loss  1.448550, Time  0.444149
2021-09-24 10:32:41.356071 : Epoch  5, Batch    765, Loss  1.447109, Average Loss  1.448468, Time  0.443881
2021-09-24 10:32:47.307851 : Epoch  5, Batch    766, Loss  1.454761, Average Loss  1.448473, Time  0.444888
2021-09-24 10:32:53.257211 : Epoch  5, Batch    767, Loss  1.454633, Average Loss  1.448538, Time  0.443911
2021-09-24 10:32:59.239264 : Epoch  5, Batch    768, Loss  1.442312, Average Loss  1.448547, Time  0.459308
2021-09-24 10:33:05.209254 : Epoch  5, Batch    769, Loss  1.448289, Average Loss  1.448606, Time  0.443663
2021-09-24 10:33:11.166010 : Epoch  5, Batch    770, Loss  1.449064, Average Loss  1.448552, Time  0.445643
2021-09-24 10:33:17.134671 : Epoch  5, Batch    771, Loss  1.455481, Average Loss  1.448596, Time  0.444719
2021-09-24 10:33:23.117086 : Epoch  5, Batch    772, Loss  1.438351, Average Loss  1.448493, Time  0.446405
2021-09-24 10:33:29.106321 : Epoch  5, Batch    773, Loss  1.443319, Average Loss  1.448482, Time  0.443837
2021-09-24 10:33:35.071821 : Epoch  5, Batch    774, Loss  1.458516, Average Loss  1.448479, Time  0.446094
2021-09-24 10:33:41.048881 : Epoch  5, Batch    775, Loss  1.454728, Average Loss  1.448525, Time  0.459544
2021-09-24 10:33:47.002558 : Epoch  5, Batch    776, Loss  1.450258, Average Loss  1.448510, Time  0.443272
2021-09-24 10:33:52.962218 : Epoch  5, Batch    777, Loss  1.459683, Average Loss  1.448521, Time  0.445915
2021-09-24 10:33:58.923271 : Epoch  5, Batch    778, Loss  1.441972, Average Loss  1.448552, Time  0.444793
2021-09-24 10:34:04.890176 : Epoch  5, Batch    779, Loss  1.448433, Average Loss  1.448605, Time  0.446061
2021-09-24 10:34:10.840933 : Epoch  5, Batch    780, Loss  1.451468, Average Loss  1.448636, Time  0.445307
2021-09-24 10:34:16.784955 : Epoch  5, Batch    781, Loss  1.456636, Average Loss  1.448617, Time  0.447203
2021-09-24 10:34:22.726379 : Epoch  5, Batch    782, Loss  1.450956, Average Loss  1.448618, Time  0.447461
2021-09-24 10:34:28.706203 : Epoch  5, Batch    783, Loss  1.457808, Average Loss  1.448657, Time  0.456341
2021-09-24 10:34:34.667787 : Epoch  5, Batch    784, Loss  1.459117, Average Loss  1.448688, Time  0.446245
2021-09-24 10:34:40.623269 : Epoch  5, Batch    785, Loss  1.437860, Average Loss  1.448613, Time  0.444020
2021-09-24 10:34:46.581926 : Epoch  5, Batch    786, Loss  1.455467, Average Loss  1.448623, Time  0.444922
2021-09-24 10:34:48.853503 : CheckPoint: Validation Loss  0.00025367, Best Loss  0.00024726
2021-09-24 10:34:52.534613 : Epoch  5, Batch    787, Loss  1.444583, Average Loss  1.448622, Time  0.444241
2021-09-24 10:34:54.814630 : Epoch  5, Batch    789, Loss  1.450679, Average Loss  1.447681, Time  0.441202
2021-09-24 10:34:58.498324 : Epoch  5, Batch    788, Loss  1.449220, Average Loss  1.448682, Time  0.442865
2021-09-24 10:35:00.733912 : Epoch  5, Batch    790, Loss  1.433415, Average Loss  1.447549, Time  0.442166
2021-09-24 10:35:06.684806 : Epoch  5, Batch    791, Loss  1.458601, Average Loss  1.447657, Time  0.453234
2021-09-24 10:35:12.604985 : Epoch  5, Batch    792, Loss  1.438165, Average Loss  1.447599, Time  0.444319
2021-09-24 10:35:18.521895 : Epoch  5, Batch    793, Loss  1.436911, Average Loss  1.447607, Time  0.439555
2021-09-24 10:35:24.443944 : Epoch  5, Batch    794, Loss  1.448923, Average Loss  1.447600, Time  0.439620
2021-09-24 10:35:30.379997 : Epoch  5, Batch    795, Loss  1.454240, Average Loss  1.447654, Time  0.439378
2021-09-24 10:35:36.295017 : Epoch  5, Batch    796, Loss  1.451228, Average Loss  1.447748, Time  0.440572
2021-09-24 10:35:42.235778 : Epoch  5, Batch    797, Loss  1.450794, Average Loss  1.447778, Time  0.440293
2021-09-24 10:35:48.151501 : Epoch  5, Batch    798, Loss  1.452600, Average Loss  1.447789, Time  0.441188
2021-09-24 10:35:54.090779 : Epoch  5, Batch    799, Loss  1.457578, Average Loss  1.447821, Time  0.458713
2021-09-24 10:36:00.011939 : Epoch  5, Batch    800, Loss  1.443068, Average Loss  1.447768, Time  0.439650
2021-09-24 10:36:05.928453 : Epoch  5, Batch    801, Loss  1.449937, Average Loss  1.447761, Time  0.439085
2021-09-24 10:36:11.854323 : Epoch  5, Batch    802, Loss  1.449586, Average Loss  1.447729, Time  0.441598
2021-09-24 10:36:17.767726 : Epoch  5, Batch    803, Loss  1.452647, Average Loss  1.447716, Time  0.439416
2021-09-24 10:36:23.692399 : Epoch  5, Batch    804, Loss  1.445731, Average Loss  1.447731, Time  0.439525
2021-09-24 10:36:29.636798 : Epoch  5, Batch    805, Loss  1.467027, Average Loss  1.447811, Time  0.446219
2021-09-24 10:36:35.562506 : Epoch  5, Batch    806, Loss  1.437460, Average Loss  1.447738, Time  0.440822
2021-09-24 10:36:41.507689 : Epoch  5, Batch    807, Loss  1.438334, Average Loss  1.447692, Time  0.450430
2021-09-24 10:36:47.432892 : Epoch  5, Batch    808, Loss  1.450976, Average Loss  1.447681, Time  0.438640
2021-09-24 10:36:53.386607 : Epoch  5, Batch    809, Loss  1.453227, Average Loss  1.447713, Time  0.439454
2021-09-24 10:36:59.310699 : Epoch  5, Batch    810, Loss  1.450947, Average Loss  1.447670, Time  0.445935
2021-09-24 10:37:05.229863 : Epoch  5, Batch    811, Loss  1.442832, Average Loss  1.447614, Time  0.440735
2021-09-24 10:37:11.150333 : Epoch  5, Batch    812, Loss  1.441749, Average Loss  1.447608, Time  0.439740
2021-09-24 10:37:17.080765 : Epoch  5, Batch    813, Loss  1.444963, Average Loss  1.447596, Time  0.439143
2021-09-24 10:37:23.000485 : Epoch  5, Batch    814, Loss  1.454121, Average Loss  1.447675, Time  0.438734
2021-09-24 10:37:28.947480 : Epoch  5, Batch    815, Loss  1.447453, Average Loss  1.447712, Time  0.454679
2021-09-24 10:37:34.894384 : Epoch  5, Batch    816, Loss  1.436944, Average Loss  1.447669, Time  0.441418
2021-09-24 10:37:40.821905 : Epoch  5, Batch    817, Loss  1.442916, Average Loss  1.447642, Time  0.440966
2021-09-24 10:37:46.742504 : Epoch  5, Batch    818, Loss  1.438066, Average Loss  1.447572, Time  0.440953
2021-09-24 10:37:52.674074 : Epoch  5, Batch    819, Loss  1.430891, Average Loss  1.447440, Time  0.439085
2021-09-24 10:37:58.592301 : Epoch  5, Batch    820, Loss  1.445545, Average Loss  1.447459, Time  0.440973
2021-09-24 10:38:04.547866 : Epoch  5, Batch    821, Loss  1.445578, Average Loss  1.447459, Time  0.440981
2021-09-24 10:38:10.519654 : Epoch  5, Batch    822, Loss  1.449257, Average Loss  1.447439, Time  0.453599
2021-09-24 10:38:16.462652 : Epoch  5, Batch    823, Loss  1.461822, Average Loss  1.447459, Time  0.442858
2021-09-24 10:38:22.388657 : Epoch  5, Batch    824, Loss  1.454144, Average Loss  1.447452, Time  0.439138
2021-09-24 10:38:28.294369 : Epoch  5, Batch    825, Loss  1.455642, Average Loss  1.447494, Time  0.439114
2021-09-24 10:38:34.208813 : Epoch  5, Batch    826, Loss  1.452061, Average Loss  1.447530, Time  0.439053
2021-09-24 10:38:40.134044 : Epoch  5, Batch    827, Loss  1.438416, Average Loss  1.447476, Time  0.439122
2021-09-24 10:38:46.067488 : Epoch  5, Batch    828, Loss  1.446906, Average Loss  1.447510, Time  0.438259
2021-09-24 10:38:51.999834 : Epoch  5, Batch    829, Loss  1.439911, Average Loss  1.447524, Time  0.439602
2021-09-24 10:38:57.967032 : Epoch  5, Batch    830, Loss  1.444381, Average Loss  1.447430, Time  0.454695
2021-09-24 10:39:03.876808 : Epoch  5, Batch    831, Loss  1.447206, Average Loss  1.447470, Time  0.439664
2021-09-24 10:39:09.797740 : Epoch  5, Batch    832, Loss  1.437129, Average Loss  1.447369, Time  0.439994
2021-09-24 10:39:15.730940 : Epoch  5, Batch    833, Loss  1.454131, Average Loss  1.447444, Time  0.440133
2021-09-24 10:39:21.668985 : Epoch  5, Batch    834, Loss  1.455169, Average Loss  1.447558, Time  0.442297
2021-09-24 10:39:27.615813 : Epoch  5, Batch    835, Loss  1.447226, Average Loss  1.447536, Time  0.441211
2021-09-24 10:39:33.552859 : Epoch  5, Batch    836, Loss  1.443054, Average Loss  1.447504, Time  0.439015
2021-09-24 10:39:37.257910 : CheckPoint: Validation Loss  0.00025433, Best Loss  0.00024587
2021-09-24 10:39:39.481580 : Epoch  5, Batch    837, Loss  1.456537, Average Loss  1.447568, Time  0.439890
2021-09-24 10:39:43.255621 : Epoch  5, Batch    789, Loss  1.450942, Average Loss  1.448706, Time  0.443544
2021-09-24 10:39:45.436653 : Epoch  5, Batch    838, Loss  1.462118, Average Loss  1.447655, Time  0.454045
2021-09-24 10:39:49.244471 : Epoch  5, Batch    790, Loss  1.445926, Average Loss  1.448741, Time  0.458739
2021-09-24 10:39:51.361625 : Epoch  5, Batch    839, Loss  1.441590, Average Loss  1.447571, Time  0.441965
2021-09-24 10:39:55.188821 : Epoch  5, Batch    791, Loss  1.458765, Average Loss  1.448798, Time  0.444800
2021-09-24 10:39:57.281457 : Epoch  5, Batch    840, Loss  1.442151, Average Loss  1.447564, Time  0.439530
2021-09-24 10:40:01.136707 : Epoch  5, Batch    792, Loss  1.444456, Average Loss  1.448782, Time  0.443506
2021-09-24 10:40:03.214924 : Epoch  5, Batch    841, Loss  1.450593, Average Loss  1.447640, Time  0.440807
2021-09-24 10:40:07.093707 : Epoch  5, Batch    793, Loss  1.469226, Average Loss  1.448915, Time  0.443374
2021-09-24 10:40:09.155985 : Epoch  5, Batch    842, Loss  1.461721, Average Loss  1.447716, Time  0.439815
2021-09-24 10:40:13.055274 : Epoch  5, Batch    794, Loss  1.443341, Average Loss  1.448872, Time  0.447419
2021-09-24 10:40:15.088471 : Epoch  5, Batch    843, Loss  1.439368, Average Loss  1.447637, Time  0.440290
2021-09-24 10:40:19.042756 : Epoch  5, Batch    795, Loss  1.455205, Average Loss  1.448862, Time  0.445365
2021-09-24 10:40:21.016050 : Epoch  5, Batch    844, Loss  1.441533, Average Loss  1.447584, Time  0.445303
2021-09-24 10:40:24.991503 : Epoch  5, Batch    796, Loss  1.450585, Average Loss  1.448902, Time  0.443635
2021-09-24 10:40:26.925889 : Epoch  5, Batch    845, Loss  1.445860, Average Loss  1.447566, Time  0.439346
2021-09-24 10:40:30.947565 : Epoch  5, Batch    797, Loss  1.447755, Average Loss  1.448850, Time  0.445600
2021-09-24 10:40:32.838813 : Epoch  5, Batch    846, Loss  1.444168, Average Loss  1.447496, Time  0.445357
2021-09-24 10:40:36.937833 : Epoch  5, Batch    798, Loss  1.450990, Average Loss  1.448829, Time  0.455106
2021-09-24 10:40:38.778924 : Epoch  5, Batch    847, Loss  1.442665, Average Loss  1.447501, Time  0.443125
2021-09-24 10:40:42.901292 : Epoch  5, Batch    799, Loss  1.446647, Average Loss  1.448787, Time  0.446486
2021-09-24 10:40:44.697610 : Epoch  5, Batch    848, Loss  1.446487, Average Loss  1.447472, Time  0.438679
2021-09-24 10:40:48.888733 : Epoch  5, Batch    800, Loss  1.453730, Average Loss  1.448833, Time  0.444688
2021-09-24 10:40:50.630240 : Epoch  5, Batch    849, Loss  1.446747, Average Loss  1.447479, Time  0.446005
2021-09-24 10:40:54.845902 : Epoch  5, Batch    801, Loss  1.455667, Average Loss  1.448911, Time  0.443821
2021-09-24 10:40:56.571691 : Epoch  5, Batch    850, Loss  1.447402, Average Loss  1.447429, Time  0.442438
2021-09-24 10:41:00.808690 : Epoch  5, Batch    802, Loss  1.446361, Average Loss  1.448885, Time  0.445832
2021-09-24 10:41:02.516581 : Epoch  5, Batch    851, Loss  1.438833, Average Loss  1.447423, Time  0.439137
2021-09-24 10:41:06.767531 : Epoch  5, Batch    803, Loss  1.443618, Average Loss  1.448822, Time  0.443388
2021-09-24 10:41:08.447300 : Epoch  5, Batch    852, Loss  1.449051, Average Loss  1.447475, Time  0.439147
2021-09-24 10:41:12.737170 : Epoch  5, Batch    804, Loss  1.448440, Average Loss  1.448819, Time  0.444266
2021-09-24 10:41:14.374322 : Epoch  5, Batch    853, Loss  1.454484, Average Loss  1.447449, Time  0.451654
2021-09-24 10:41:18.692126 : Epoch  5, Batch    805, Loss  1.454345, Average Loss  1.448837, Time  0.444956
2021-09-24 10:41:20.308616 : Epoch  5, Batch    854, Loss  1.437201, Average Loss  1.447389, Time  0.440032
2021-09-24 10:41:24.690762 : Epoch  5, Batch    806, Loss  1.454420, Average Loss  1.448863, Time  0.460336
2021-09-24 10:41:26.244638 : Epoch  5, Batch    855, Loss  1.445008, Average Loss  1.447375, Time  0.442267
2021-09-24 10:41:30.685728 : Epoch  5, Batch    807, Loss  1.446896, Average Loss  1.448906, Time  0.444299
2021-09-24 10:41:32.169497 : Epoch  5, Batch    856, Loss  1.453676, Average Loss  1.447414, Time  0.441409
2021-09-24 10:41:36.636884 : Epoch  5, Batch    808, Loss  1.445718, Average Loss  1.448919, Time  0.449026
2021-09-24 10:41:38.103926 : Epoch  5, Batch    857, Loss  1.451831, Average Loss  1.447483, Time  0.439839
2021-09-24 10:41:42.608338 : Epoch  5, Batch    809, Loss  1.454078, Average Loss  1.448925, Time  0.450741
2021-09-24 10:41:44.039082 : Epoch  5, Batch    858, Loss  1.450137, Average Loss  1.447472, Time  0.439447
2021-09-24 10:41:48.581934 : Epoch  5, Batch    810, Loss  1.441737, Average Loss  1.448877, Time  0.445071
2021-09-24 10:41:49.970268 : Epoch  5, Batch    859, Loss  1.451945, Average Loss  1.447475, Time  0.440302
2021-09-24 10:41:54.591720 : Epoch  5, Batch    811, Loss  1.450975, Average Loss  1.448837, Time  0.445113
2021-09-24 10:41:55.917944 : Epoch  5, Batch    860, Loss  1.451086, Average Loss  1.447528, Time  0.439470
2021-09-24 10:42:00.580895 : Epoch  5, Batch    812, Loss  1.453716, Average Loss  1.448919, Time  0.444252
2021-09-24 10:42:01.868353 : Epoch  5, Batch    861, Loss  1.446856, Average Loss  1.447554, Time  0.452788
2021-09-24 10:42:06.543085 : Epoch  5, Batch    813, Loss  1.452241, Average Loss  1.448939, Time  0.444175
2021-09-24 10:42:07.783105 : Epoch  5, Batch    862, Loss  1.450719, Average Loss  1.447550, Time  0.439592
2021-09-24 10:42:12.515607 : Epoch  5, Batch    814, Loss  1.436316, Average Loss  1.448859, Time  0.455037
2021-09-24 10:42:13.721439 : Epoch  5, Batch    863, Loss  1.444493, Average Loss  1.447622, Time  0.440791
2021-09-24 10:42:18.480837 : Epoch  5, Batch    815, Loss  1.448905, Average Loss  1.448834, Time  0.447721
2021-09-24 10:42:19.627741 : Epoch  5, Batch    864, Loss  1.458328, Average Loss  1.447645, Time  0.438453
2021-09-24 10:42:24.440581 : Epoch  5, Batch    816, Loss  1.460337, Average Loss  1.448879, Time  0.447129
2021-09-24 10:42:25.564892 : Epoch  5, Batch    865, Loss  1.454483, Average Loss  1.447722, Time  0.443842
2021-09-24 10:42:30.432328 : Epoch  5, Batch    817, Loss  1.451185, Average Loss  1.448904, Time  0.443538
2021-09-24 10:42:31.496064 : Epoch  5, Batch    866, Loss  1.450839, Average Loss  1.447694, Time  0.439809
2021-09-24 10:42:36.397876 : Epoch  5, Batch    818, Loss  1.450354, Average Loss  1.448899, Time  0.449427
2021-09-24 10:42:37.434028 : Epoch  5, Batch    867, Loss  1.436770, Average Loss  1.447629, Time  0.440149
2021-09-24 10:42:42.377524 : Epoch  5, Batch    819, Loss  1.445579, Average Loss  1.448869, Time  0.446807
2021-09-24 10:42:43.353424 : Epoch  5, Batch    868, Loss  1.453780, Average Loss  1.447705, Time  0.438811
2021-09-24 10:42:48.338758 : Epoch  5, Batch    820, Loss  1.454580, Average Loss  1.448885, Time  0.445906
2021-09-24 10:42:49.307365 : Epoch  5, Batch    869, Loss  1.448280, Average Loss  1.447691, Time  0.453609
2021-09-24 10:42:54.320907 : Epoch  5, Batch    821, Loss  1.456547, Average Loss  1.448943, Time  0.462210
2021-09-24 10:42:55.230830 : Epoch  5, Batch    870, Loss  1.448980, Average Loss  1.447681, Time  0.439777
2021-09-24 10:43:00.293813 : Epoch  5, Batch    822, Loss  1.440371, Average Loss  1.448916, Time  0.445592
2021-09-24 10:43:01.168702 : Epoch  5, Batch    871, Loss  1.450731, Average Loss  1.447762, Time  0.440428
2021-09-24 10:43:06.248853 : Epoch  5, Batch    823, Loss  1.445407, Average Loss  1.448899, Time  0.444837
2021-09-24 10:43:07.107756 : Epoch  5, Batch    872, Loss  1.434765, Average Loss  1.447759, Time  0.439156
2021-09-24 10:43:12.228080 : Epoch  5, Batch    824, Loss  1.452821, Average Loss  1.448920, Time  0.444552
2021-09-24 10:43:13.029797 : Epoch  5, Batch    873, Loss  1.463088, Average Loss  1.447803, Time  0.439429
2021-09-24 10:43:18.197854 : Epoch  5, Batch    825, Loss  1.428151, Average Loss  1.448817, Time  0.444817
2021-09-24 10:43:18.945379 : Epoch  5, Batch    874, Loss  1.443622, Average Loss  1.447752, Time  0.438612
2021-09-24 10:43:24.152199 : Epoch  5, Batch    826, Loss  1.455627, Average Loss  1.448814, Time  0.444277
2021-09-24 10:43:24.875300 : Epoch  5, Batch    875, Loss  1.461085, Average Loss  1.447880, Time  0.439731
2021-09-24 10:43:30.115680 : Epoch  5, Batch    827, Loss  1.446052, Average Loss  1.448816, Time  0.445241
2021-09-24 10:43:30.818341 : Epoch  5, Batch    876, Loss  1.451750, Average Loss  1.447843, Time  0.441150
2021-09-24 10:43:36.103630 : Epoch  5, Batch    828, Loss  1.454378, Average Loss  1.448802, Time  0.445096
2021-09-24 10:43:36.765758 : Epoch  5, Batch    877, Loss  1.452182, Average Loss  1.447863, Time  0.451428
2021-09-24 10:43:42.050273 : Epoch  5, Batch    829, Loss  1.462239, Average Loss  1.448857, Time  0.457876
2021-09-24 10:43:42.692796 : Epoch  5, Batch    878, Loss  1.454878, Average Loss  1.447887, Time  0.440652
2021-09-24 10:43:48.005692 : Epoch  5, Batch    830, Loss  1.444038, Average Loss  1.448833, Time  0.450055
2021-09-24 10:43:48.618637 : Epoch  5, Batch    879, Loss  1.440460, Average Loss  1.447915, Time  0.441242
2021-09-24 10:43:53.963792 : Epoch  5, Batch    831, Loss  1.453494, Average Loss  1.448874, Time  0.444165
2021-09-24 10:43:54.563041 : Epoch  5, Batch    880, Loss  1.443303, Average Loss  1.447923, Time  0.440208
2021-09-24 10:43:59.931852 : Epoch  5, Batch    832, Loss  1.439971, Average Loss  1.448861, Time  0.446067
2021-09-24 10:44:00.495532 : Epoch  5, Batch    881, Loss  1.455345, Average Loss  1.447986, Time  0.441690
2021-09-24 10:44:05.910714 : Epoch  5, Batch    833, Loss  1.449995, Average Loss  1.448869, Time  0.444232
2021-09-24 10:44:06.448376 : Epoch  5, Batch    882, Loss  1.457046, Average Loss  1.448066, Time  0.438946
2021-09-24 10:44:11.869803 : Epoch  5, Batch    834, Loss  1.450592, Average Loss  1.448953, Time  0.445944
2021-09-24 10:44:12.380024 : Epoch  5, Batch    883, Loss  1.446274, Average Loss  1.447967, Time  0.440693
2021-09-24 10:44:17.836929 : Epoch  5, Batch    835, Loss  1.445315, Average Loss  1.448962, Time  0.445418
2021-09-24 10:44:18.306802 : Epoch  5, Batch    884, Loss  1.443404, Average Loss  1.447931, Time  0.442304
2021-09-24 10:44:23.806809 : Epoch  5, Batch    836, Loss  1.447044, Average Loss  1.448939, Time  0.445800
2021-09-24 10:44:24.233016 : Epoch  5, Batch    885, Loss  1.442779, Average Loss  1.447911, Time  0.451718
2021-09-24 10:44:29.788875 : Epoch  5, Batch    837, Loss  1.447079, Average Loss  1.448999, Time  0.465154
2021-09-24 10:44:30.155270 : Epoch  5, Batch    886, Loss  1.449059, Average Loss  1.447919, Time  0.440187
2021-09-24 10:44:35.762242 : Epoch  5, Batch    838, Loss  1.450448, Average Loss  1.449013, Time  0.445269
2021-09-24 10:44:36.075068 : Epoch  5, Batch    887, Loss  1.449021, Average Loss  1.447922, Time  0.438795
2021-09-24 10:44:41.745433 : Epoch  5, Batch    839, Loss  1.452847, Average Loss  1.449002, Time  0.444744
2021-09-24 10:44:42.000357 : Epoch  5, Batch    888, Loss  1.441602, Average Loss  1.447794, Time  0.439700
2021-09-24 10:44:47.725920 : Epoch  5, Batch    840, Loss  1.443050, Average Loss  1.448994, Time  0.444275
2021-09-24 10:44:53.697967 : Epoch  5, Batch    841, Loss  1.449615, Average Loss  1.448977, Time  0.451288
2021-09-24 10:44:59.660262 : Epoch  5, Batch    842, Loss  1.436060, Average Loss  1.448948, Time  0.444318
2021-09-24 10:45:05.622355 : Epoch  5, Batch    843, Loss  1.449531, Average Loss  1.448994, Time  0.445141
2021-09-24 10:45:11.607280 : Epoch  5, Batch    844, Loss  1.446062, Average Loss  1.449010, Time  0.444703
2021-09-24 10:45:17.592988 : Epoch  5, Batch    845, Loss  1.451096, Average Loss  1.449025, Time  0.460797
2021-09-24 10:45:23.557136 : Epoch  5, Batch    846, Loss  1.432005, Average Loss  1.448973, Time  0.443877
2021-09-24 10:45:29.522399 : Epoch  5, Batch    847, Loss  1.458989, Average Loss  1.449054, Time  0.444122
2021-09-24 10:45:35.494393 : Epoch  5, Batch    848, Loss  1.446397, Average Loss  1.449062, Time  0.445484
2021-09-24 10:45:41.464214 : Epoch  5, Batch    849, Loss  1.445483, Average Loss  1.449016, Time  0.446126
2021-09-24 10:45:47.446660 : Epoch  5, Batch    850, Loss  1.449611, Average Loss  1.449014, Time  0.447839
2021-09-24 10:45:53.398917 : Epoch  5, Batch    851, Loss  1.441237, Average Loss  1.448908, Time  0.443505
2021-09-24 10:45:59.356391 : Epoch  5, Batch    852, Loss  1.450807, Average Loss  1.448843, Time  0.443923
2021-09-24 10:46:05.317988 : Epoch  5, Batch    853, Loss  1.442438, Average Loss  1.448861, Time  0.455189
2021-09-24 10:46:11.272428 : Epoch  5, Batch    854, Loss  1.450263, Average Loss  1.448897, Time  0.444135
2021-09-24 10:46:17.230909 : Epoch  5, Batch    855, Loss  1.452386, Average Loss  1.448897, Time  0.444036
2021-09-24 10:46:23.190256 : Epoch  5, Batch    856, Loss  1.438990, Average Loss  1.448882, Time  0.444923
2021-09-24 10:46:29.155961 : Epoch  5, Batch    857, Loss  1.438961, Average Loss  1.448915, Time  0.443992
2021-09-24 10:46:35.107109 : Epoch  5, Batch    858, Loss  1.444259, Average Loss  1.448895, Time  0.443753
2021-09-24 10:46:41.072103 : Epoch  5, Batch    859, Loss  1.439471, Average Loss  1.448929, Time  0.444135
2021-09-24 10:46:47.052326 : Epoch  5, Batch    860, Loss  1.435125, Average Loss  1.448833, Time  0.458510
2021-09-24 10:46:53.043356 : Epoch  5, Batch    861, Loss  1.449205, Average Loss  1.448802, Time  0.444306
2021-09-24 10:46:59.004409 : Epoch  5, Batch    862, Loss  1.453810, Average Loss  1.448815, Time  0.444771
2021-09-24 10:47:04.957617 : Epoch  5, Batch    863, Loss  1.446819, Average Loss  1.448813, Time  0.444356
2021-09-24 10:47:10.914449 : Epoch  5, Batch    864, Loss  1.440497, Average Loss  1.448830, Time  0.444660
2021-09-24 10:47:16.880653 : Epoch  5, Batch    865, Loss  1.446876, Average Loss  1.448836, Time  0.443639
2021-09-24 10:47:22.844715 : Epoch  5, Batch    866, Loss  1.430248, Average Loss  1.448761, Time  0.444132
2021-09-24 10:47:28.851920 : Epoch  5, Batch    867, Loss  1.447764, Average Loss  1.448719, Time  0.447688
2021-09-24 10:47:34.835162 : Epoch  5, Batch    868, Loss  1.437915, Average Loss  1.448680, Time  0.457633
2021-09-24 10:47:40.809122 : Epoch  5, Batch    869, Loss  1.452006, Average Loss  1.448689, Time  0.448487
2021-09-24 10:47:46.771483 : Epoch  5, Batch    870, Loss  1.438886, Average Loss  1.448654, Time  0.445158
2021-09-24 10:47:52.743248 : Epoch  5, Batch    871, Loss  1.449854, Average Loss  1.448686, Time  0.445394
2021-09-24 10:47:58.729287 : Epoch  5, Batch    872, Loss  1.454713, Average Loss  1.448698, Time  0.445744
2021-09-24 10:48:04.686671 : Epoch  5, Batch    873, Loss  1.440157, Average Loss  1.448728, Time  0.443935
2021-09-24 10:48:10.653919 : Epoch  5, Batch    874, Loss  1.452341, Average Loss  1.448720, Time  0.445284
2021-09-24 10:48:16.608910 : Epoch  5, Batch    875, Loss  1.460236, Average Loss  1.448827, Time  0.443841
2021-09-24 10:48:22.570944 : Epoch  5, Batch    876, Loss  1.449979, Average Loss  1.448909, Time  0.453622
2021-09-24 10:48:28.523771 : Epoch  5, Batch    877, Loss  1.442736, Average Loss  1.448878, Time  0.445091
2021-09-24 10:48:34.518959 : Epoch  5, Batch    878, Loss  1.440608, Average Loss  1.448895, Time  0.452817
2021-09-24 10:48:40.472410 : Epoch  5, Batch    879, Loss  1.447544, Average Loss  1.448843, Time  0.444940
2021-09-24 10:48:46.436610 : Epoch  5, Batch    880, Loss  1.448883, Average Loss  1.448827, Time  0.449849
2021-09-24 10:48:52.406398 : Epoch  5, Batch    881, Loss  1.450702, Average Loss  1.448865, Time  0.444802
2021-09-24 10:48:58.379817 : Epoch  5, Batch    882, Loss  1.442533, Average Loss  1.448823, Time  0.446120
2021-09-24 10:49:04.360563 : Epoch  5, Batch    883, Loss  1.452605, Average Loss  1.448820, Time  0.444731
2021-09-24 10:49:10.336894 : Epoch  5, Batch    884, Loss  1.464074, Average Loss  1.448850, Time  0.454297
2021-09-24 10:49:16.289750 : Epoch  5, Batch    885, Loss  1.441754, Average Loss  1.448808, Time  0.446851
2021-09-24 10:49:19.354260 : CheckPoint: Validation Loss  0.00025506, Best Loss  0.00024726
2021-09-24 10:49:22.259630 : Epoch  5, Batch    886, Loss  1.454295, Average Loss  1.448775, Time  0.444418
2021-09-24 10:49:25.274315 : Epoch  5, Batch    889, Loss  1.459442, Average Loss  1.447849, Time  0.442449
2021-09-24 10:49:28.227576 : Epoch  5, Batch    887, Loss  1.462074, Average Loss  1.448879, Time  0.447032
2021-09-24 10:49:31.202713 : Epoch  5, Batch    890, Loss  1.443863, Average Loss  1.447837, Time  0.439625
2021-09-24 10:49:34.184271 : Epoch  5, Batch    888, Loss  1.460183, Average Loss  1.448978, Time  0.444452
2021-09-24 10:49:37.124653 : Epoch  5, Batch    891, Loss  1.437877, Average Loss  1.447791, Time  0.440232
2021-09-24 10:49:43.048672 : Epoch  5, Batch    892, Loss  1.450035, Average Loss  1.447780, Time  0.441738
2021-09-24 10:49:48.975285 : Epoch  5, Batch    893, Loss  1.464050, Average Loss  1.447864, Time  0.451358
2021-09-24 10:49:54.917402 : Epoch  5, Batch    894, Loss  1.440688, Average Loss  1.447781, Time  0.439559
2021-09-24 10:50:00.846797 : Epoch  5, Batch    895, Loss  1.448838, Average Loss  1.447757, Time  0.445509
2021-09-24 10:50:06.760839 : Epoch  5, Batch    896, Loss  1.444026, Average Loss  1.447743, Time  0.438744
2021-09-24 10:50:12.694825 : Epoch  5, Batch    897, Loss  1.439394, Average Loss  1.447760, Time  0.441205
2021-09-24 10:50:18.603531 : Epoch  5, Batch    898, Loss  1.440675, Average Loss  1.447745, Time  0.439129
2021-09-24 10:50:24.527958 : Epoch  5, Batch    899, Loss  1.451810, Average Loss  1.447770, Time  0.444375
2021-09-24 10:50:30.450858 : Epoch  5, Batch    900, Loss  1.443410, Average Loss  1.447695, Time  0.439465
2021-09-24 10:50:36.369888 : Epoch  5, Batch    901, Loss  1.443777, Average Loss  1.447685, Time  0.452117
2021-09-24 10:50:42.293261 : Epoch  5, Batch    902, Loss  1.437297, Average Loss  1.447604, Time  0.439007
2021-09-24 10:50:48.215890 : Epoch  5, Batch    903, Loss  1.446749, Average Loss  1.447510, Time  0.441912
2021-09-24 10:50:54.165328 : Epoch  5, Batch    904, Loss  1.451450, Average Loss  1.447550, Time  0.441880
2021-09-24 10:51:00.093773 : Epoch  5, Batch    905, Loss  1.448945, Average Loss  1.447671, Time  0.438930
2021-09-24 10:51:06.016915 : Epoch  5, Batch    906, Loss  1.453314, Average Loss  1.447637, Time  0.439996
2021-09-24 10:51:11.934723 : Epoch  5, Batch    907, Loss  1.442869, Average Loss  1.447589, Time  0.446168
2021-09-24 10:51:17.862874 : Epoch  5, Batch    908, Loss  1.455454, Average Loss  1.447648, Time  0.439903
2021-09-24 10:51:23.797238 : Epoch  5, Batch    909, Loss  1.453119, Average Loss  1.447650, Time  0.456409
2021-09-24 10:51:29.715410 : Epoch  5, Batch    910, Loss  1.457205, Average Loss  1.447683, Time  0.439670
2021-09-24 10:51:35.618709 : Epoch  5, Batch    911, Loss  1.444838, Average Loss  1.447672, Time  0.442132
2021-09-24 10:51:41.525777 : Epoch  5, Batch    912, Loss  1.450625, Average Loss  1.447625, Time  0.440923
2021-09-24 10:51:47.435136 : Epoch  5, Batch    913, Loss  1.465489, Average Loss  1.447708, Time  0.440245
2021-09-24 10:51:53.358309 : Epoch  5, Batch    914, Loss  1.446337, Average Loss  1.447721, Time  0.440061
2021-09-24 10:51:59.273396 : Epoch  5, Batch    915, Loss  1.444601, Average Loss  1.447701, Time  0.438555
2021-09-24 10:52:05.190140 : Epoch  5, Batch    916, Loss  1.450052, Average Loss  1.447755, Time  0.442368
2021-09-24 10:52:11.112889 : Epoch  5, Batch    917, Loss  1.457845, Average Loss  1.447802, Time  0.454289
2021-09-24 10:52:17.016692 : Epoch  5, Batch    918, Loss  1.454558, Average Loss  1.447810, Time  0.441685
2021-09-24 10:52:22.951724 : Epoch  5, Batch    919, Loss  1.445049, Average Loss  1.447784, Time  0.439039
2021-09-24 10:52:28.870756 : Epoch  5, Batch    920, Loss  1.461092, Average Loss  1.447858, Time  0.438990
2021-09-24 10:52:34.792296 : Epoch  5, Batch    921, Loss  1.437867, Average Loss  1.447789, Time  0.440355
2021-09-24 10:52:40.718427 : Epoch  5, Batch    922, Loss  1.456015, Average Loss  1.447838, Time  0.439058
2021-09-24 10:52:46.628283 : Epoch  5, Batch    923, Loss  1.450258, Average Loss  1.447859, Time  0.442432
2021-09-24 10:52:52.540033 : Epoch  5, Batch    924, Loss  1.452258, Average Loss  1.447940, Time  0.439637
2021-09-24 10:52:58.466835 : Epoch  5, Batch    925, Loss  1.446757, Average Loss  1.447969, Time  0.449321
2021-09-24 10:53:04.367377 : Epoch  5, Batch    926, Loss  1.441824, Average Loss  1.448002, Time  0.439702
2021-09-24 10:53:10.285856 : Epoch  5, Batch    927, Loss  1.445993, Average Loss  1.447914, Time  0.440485
2021-09-24 10:53:16.220802 : Epoch  5, Batch    928, Loss  1.447803, Average Loss  1.447964, Time  0.444804
2021-09-24 10:53:16.259072 : Saving Model after 5-th Epoch.
2021-09-24 10:53:17.052689 : Epoch Finished.
2021-09-24 10:53:22.672889 : Batch Shuffled
2021-09-24 10:53:28.605908 : Epoch  6, Batch      1, Loss  1.454617, Average Loss  1.447996, Time  0.439812
2021-09-24 10:53:34.536949 : Epoch  6, Batch      2, Loss  1.440068, Average Loss  1.447960, Time  0.439480
2021-09-24 10:53:40.460707 : Epoch  6, Batch      3, Loss  1.452177, Average Loss  1.447988, Time  0.446977
2021-09-24 10:53:46.396879 : Epoch  6, Batch      4, Loss  1.449914, Average Loss  1.448069, Time  0.444082
2021-09-24 10:53:52.336844 : Epoch  6, Batch      5, Loss  1.458064, Average Loss  1.448160, Time  0.440052
2021-09-24 10:53:58.271724 : Epoch  6, Batch      6, Loss  1.459892, Average Loss  1.448166, Time  0.442910
2021-09-24 10:54:04.205151 : Epoch  6, Batch      7, Loss  1.447684, Average Loss  1.448102, Time  0.439909
2021-09-24 10:54:10.144967 : Epoch  6, Batch      8, Loss  1.449123, Average Loss  1.448065, Time  0.442525
2021-09-24 10:54:13.376413 : CheckPoint: Validation Loss  0.00025230, Best Loss  0.00024587
2021-09-24 10:54:16.076819 : Epoch  6, Batch      9, Loss  1.442161, Average Loss  1.448097, Time  0.439944
2021-09-24 10:54:19.342537 : Epoch  5, Batch    889, Loss  1.442188, Average Loss  1.449009, Time  0.444986
2021-09-24 10:54:22.003398 : Epoch  6, Batch     10, Loss  1.451725, Average Loss  1.448083, Time  0.440440
2021-09-24 10:54:25.285003 : Epoch  5, Batch    890, Loss  1.432949, Average Loss  1.448967, Time  0.443169
2021-09-24 10:54:27.972509 : Epoch  6, Batch     11, Loss  1.445708, Average Loss  1.448096, Time  0.454199
2021-09-24 10:54:31.258792 : Epoch  5, Batch    891, Loss  1.451467, Average Loss  1.448936, Time  0.459865
2021-09-24 10:54:33.917388 : Epoch  6, Batch     12, Loss  1.444134, Average Loss  1.448033, Time  0.441432
2021-09-24 10:54:37.235421 : Epoch  5, Batch    892, Loss  1.453667, Average Loss  1.448909, Time  0.443217
2021-09-24 10:54:39.848797 : Epoch  6, Batch     13, Loss  1.457402, Average Loss  1.448124, Time  0.443389
2021-09-24 10:54:43.192789 : Epoch  5, Batch    893, Loss  1.455511, Average Loss  1.448916, Time  0.443944
2021-09-24 10:54:45.778925 : Epoch  6, Batch     14, Loss  1.438585, Average Loss  1.448106, Time  0.440944
2021-09-24 10:54:49.154823 : Epoch  5, Batch    894, Loss  1.443160, Average Loss  1.448908, Time  0.448487
2021-09-24 10:54:51.713768 : Epoch  6, Batch     15, Loss  1.450416, Average Loss  1.448090, Time  0.439743
2021-09-24 10:54:55.109635 : Epoch  5, Batch    895, Loss  1.450629, Average Loss  1.448898, Time  0.444126
2021-09-24 10:54:57.648548 : Epoch  6, Batch     16, Loss  1.438185, Average Loss  1.448030, Time  0.439694
2021-09-24 10:55:01.059838 : Epoch  5, Batch    896, Loss  1.467594, Average Loss  1.449045, Time  0.444340
2021-09-24 10:55:03.579376 : Epoch  6, Batch     17, Loss  1.461475, Average Loss  1.448182, Time  0.444368
2021-09-24 10:55:07.051540 : Epoch  5, Batch    897, Loss  1.451495, Average Loss  1.449060, Time  0.447596
2021-09-24 10:55:09.515130 : Epoch  6, Batch     18, Loss  1.445099, Average Loss  1.448199, Time  0.440455
2021-09-24 10:55:13.007888 : Epoch  5, Batch    898, Loss  1.459360, Average Loss  1.449174, Time  0.449470
2021-09-24 10:55:15.444973 : Epoch  6, Batch     19, Loss  1.433049, Average Loss  1.448101, Time  0.453456
2021-09-24 10:55:18.953678 : Epoch  5, Batch    899, Loss  1.444937, Average Loss  1.449123, Time  0.445333
2021-09-24 10:55:21.357905 : Epoch  6, Batch     20, Loss  1.450068, Average Loss  1.448108, Time  0.439393
2021-09-24 10:55:24.892513 : Epoch  5, Batch    900, Loss  1.448011, Average Loss  1.449167, Time  0.446658
2021-09-24 10:55:27.302460 : Epoch  6, Batch     21, Loss  1.439826, Average Loss  1.448069, Time  0.439843
2021-09-24 10:55:30.876650 : Epoch  5, Batch    901, Loss  1.441387, Average Loss  1.449111, Time  0.444982
2021-09-24 10:55:33.241473 : Epoch  6, Batch     22, Loss  1.445468, Average Loss  1.448033, Time  0.445284
2021-09-24 10:55:36.842978 : Epoch  5, Batch    902, Loss  1.454029, Average Loss  1.449137, Time  0.446106
2021-09-24 10:55:39.179864 : Epoch  6, Batch     23, Loss  1.453391, Average Loss  1.448064, Time  0.441015
2021-09-24 10:55:42.820788 : Epoch  5, Batch    903, Loss  1.464298, Average Loss  1.449188, Time  0.448755
2021-09-24 10:55:45.120309 : Epoch  6, Batch     24, Loss  1.457816, Average Loss  1.448091, Time  0.439038
2021-09-24 10:55:48.783112 : Epoch  5, Batch    904, Loss  1.456963, Average Loss  1.449218, Time  0.447051
2021-09-24 10:55:51.043750 : Epoch  6, Batch     25, Loss  1.455209, Average Loss  1.448109, Time  0.440563
2021-09-24 10:55:54.735555 : Epoch  5, Batch    905, Loss  1.452954, Average Loss  1.449268, Time  0.444907
2021-09-24 10:55:56.975973 : Epoch  6, Batch     26, Loss  1.462986, Average Loss  1.448240, Time  0.444906
2021-09-24 10:56:00.697230 : Epoch  5, Batch    906, Loss  1.457558, Average Loss  1.449297, Time  0.460916
2021-09-24 10:56:02.916654 : Epoch  6, Batch     27, Loss  1.449966, Average Loss  1.448261, Time  0.453629
2021-09-24 10:56:06.655098 : Epoch  5, Batch    907, Loss  1.451424, Average Loss  1.449268, Time  0.446904
2021-09-24 10:56:08.849869 : Epoch  6, Batch     28, Loss  1.434492, Average Loss  1.448206, Time  0.444388
2021-09-24 10:56:12.628853 : Epoch  5, Batch    908, Loss  1.449805, Average Loss  1.449340, Time  0.453388
2021-09-24 10:56:14.781777 : Epoch  6, Batch     29, Loss  1.445835, Average Loss  1.448157, Time  0.440231
2021-09-24 10:56:18.600191 : Epoch  5, Batch    909, Loss  1.445469, Average Loss  1.449295, Time  0.443521
2021-09-24 10:56:20.708673 : Epoch  6, Batch     30, Loss  1.443464, Average Loss  1.448120, Time  0.442486
2021-09-24 10:56:24.548483 : Epoch  5, Batch    910, Loss  1.456534, Average Loss  1.449378, Time  0.444086
2021-09-24 10:56:26.652404 : Epoch  6, Batch     31, Loss  1.451831, Average Loss  1.448193, Time  0.439445
2021-09-24 10:56:30.505919 : Epoch  5, Batch    911, Loss  1.447636, Average Loss  1.449350, Time  0.445098
2021-09-24 10:56:32.574570 : Epoch  6, Batch     32, Loss  1.451075, Average Loss  1.448144, Time  0.439736
2021-09-24 10:56:36.475703 : Epoch  5, Batch    912, Loss  1.449348, Average Loss  1.449426, Time  0.445229
2021-09-24 10:56:38.504410 : Epoch  6, Batch     33, Loss  1.449411, Average Loss  1.448146, Time  0.443088
2021-09-24 10:56:42.462256 : Epoch  5, Batch    913, Loss  1.451293, Average Loss  1.449431, Time  0.443955
2021-09-24 10:56:44.434369 : Epoch  6, Batch     34, Loss  1.450010, Average Loss  1.448187, Time  0.439339
2021-09-24 10:56:48.458858 : Epoch  5, Batch    914, Loss  1.451586, Average Loss  1.449423, Time  0.461753
2021-09-24 10:56:50.393814 : Epoch  6, Batch     35, Loss  1.456784, Average Loss  1.448256, Time  0.451710
2021-09-24 10:56:54.412900 : Epoch  5, Batch    915, Loss  1.454040, Average Loss  1.449428, Time  0.444829
2021-09-24 10:56:56.321477 : Epoch  6, Batch     36, Loss  1.438329, Average Loss  1.448204, Time  0.443312
2021-09-24 10:57:00.365906 : Epoch  5, Batch    916, Loss  1.447461, Average Loss  1.449451, Time  0.443541
2021-09-24 10:57:02.253391 : Epoch  6, Batch     37, Loss  1.458983, Average Loss  1.448272, Time  0.445920
2021-09-24 10:57:06.333992 : Epoch  5, Batch    917, Loss  1.449271, Average Loss  1.449479, Time  0.444232
2021-09-24 10:57:08.178865 : Epoch  6, Batch     38, Loss  1.448111, Average Loss  1.448296, Time  0.441483
2021-09-24 10:57:12.296033 : Epoch  5, Batch    918, Loss  1.450105, Average Loss  1.449494, Time  0.445093
2021-09-24 10:57:14.102929 : Epoch  6, Batch     39, Loss  1.452339, Average Loss  1.448288, Time  0.438823
2021-09-24 10:57:18.262497 : Epoch  5, Batch    919, Loss  1.442443, Average Loss  1.449433, Time  0.444037
2021-09-24 10:57:20.048885 : Epoch  6, Batch     40, Loss  1.431136, Average Loss  1.448157, Time  0.439362
2021-09-24 10:57:24.250224 : Epoch  5, Batch    920, Loss  1.437789, Average Loss  1.449355, Time  0.443809
2021-09-24 10:57:26.010844 : Epoch  6, Batch     41, Loss  1.451869, Average Loss  1.448211, Time  0.440380
2021-09-24 10:57:30.218613 : Epoch  5, Batch    921, Loss  1.438448, Average Loss  1.449329, Time  0.449434
2021-09-24 10:57:31.941381 : Epoch  6, Batch     42, Loss  1.450401, Average Loss  1.448236, Time  0.444286
2021-09-24 10:57:36.185661 : Epoch  5, Batch    922, Loss  1.437216, Average Loss  1.449300, Time  0.446469
2021-09-24 10:57:37.887203 : Epoch  6, Batch     43, Loss  1.437460, Average Loss  1.448160, Time  0.452827
2021-09-24 10:57:42.123256 : Epoch  5, Batch    923, Loss  1.433342, Average Loss  1.449251, Time  0.444400
2021-09-24 10:57:43.808096 : Epoch  6, Batch     44, Loss  1.452442, Average Loss  1.448198, Time  0.439374
2021-09-24 10:57:48.091268 : Epoch  5, Batch    924, Loss  1.451563, Average Loss  1.449208, Time  0.444770
2021-09-24 10:57:49.750931 : Epoch  6, Batch     45, Loss  1.457546, Average Loss  1.448268, Time  0.448221
2021-09-24 10:57:54.086471 : Epoch  5, Batch    925, Loss  1.450322, Average Loss  1.449173, Time  0.443058
2021-09-24 10:57:55.686528 : Epoch  6, Batch     46, Loss  1.460946, Average Loss  1.448407, Time  0.439172
2021-09-24 10:58:00.038838 : Epoch  5, Batch    926, Loss  1.455162, Average Loss  1.449224, Time  0.450215
2021-09-24 10:58:01.609349 : Epoch  6, Batch     47, Loss  1.447486, Average Loss  1.448461, Time  0.439662
2021-09-24 10:58:05.981081 : Epoch  5, Batch    927, Loss  1.453333, Average Loss  1.449287, Time  0.444690
2021-09-24 10:58:07.547945 : Epoch  6, Batch     48, Loss  1.441960, Average Loss  1.448385, Time  0.439110
2021-09-24 10:58:11.937643 : Epoch  5, Batch    928, Loss  1.436946, Average Loss  1.449160, Time  0.443756
2021-09-24 10:58:11.973528 : Saving Model after 5-th Epoch.
2021-09-24 10:58:12.702670 : Epoch Finished.
2021-09-24 10:58:13.486108 : Epoch  6, Batch     49, Loss  1.450439, Average Loss  1.448460, Time  0.441725
2021-09-24 10:58:18.291118 : Batch Shuffled
2021-09-24 10:58:19.458202 : Epoch  6, Batch     50, Loss  1.440177, Average Loss  1.448429, Time  0.453894
2021-09-24 10:58:24.240558 : Epoch  6, Batch      1, Loss  1.446060, Average Loss  1.449150, Time  0.460731
2021-09-24 10:58:25.399496 : Epoch  6, Batch     51, Loss  1.443369, Average Loss  1.448398, Time  0.441461
2021-09-24 10:58:30.190870 : Epoch  6, Batch      2, Loss  1.445163, Average Loss  1.449067, Time  0.447066
2021-09-24 10:58:31.317504 : Epoch  6, Batch     52, Loss  1.440185, Average Loss  1.448356, Time  0.439691
2021-09-24 10:58:36.117915 : Epoch  6, Batch      3, Loss  1.446888, Average Loss  1.449007, Time  0.444102
2021-09-24 10:58:37.239403 : Epoch  6, Batch     53, Loss  1.457485, Average Loss  1.448423, Time  0.438801
2021-09-24 10:58:42.047101 : Epoch  6, Batch      4, Loss  1.450235, Average Loss  1.448966, Time  0.444068
2021-09-24 10:58:43.154326 : Epoch  6, Batch     54, Loss  1.449338, Average Loss  1.448436, Time  0.439911
2021-09-24 10:58:47.989266 : Epoch  6, Batch      5, Loss  1.445870, Average Loss  1.448891, Time  0.443538
2021-09-24 10:58:49.086675 : Epoch  6, Batch     55, Loss  1.445194, Average Loss  1.448422, Time  0.439877
2021-09-24 10:58:53.923966 : Epoch  6, Batch      6, Loss  1.455490, Average Loss  1.448878, Time  0.445983
2021-09-24 10:58:55.010527 : Epoch  6, Batch     56, Loss  1.450186, Average Loss  1.448425, Time  0.439414
2021-09-24 10:58:59.901538 : Epoch  6, Batch      7, Loss  1.449496, Average Loss  1.448852, Time  0.456483
2021-09-24 10:59:00.950204 : Epoch  6, Batch     57, Loss  1.438378, Average Loss  1.448357, Time  0.443700
2021-09-24 10:59:05.828825 : Epoch  6, Batch      8, Loss  1.453387, Average Loss  1.448865, Time  0.443267
2021-09-24 10:59:06.875833 : Epoch  6, Batch     58, Loss  1.440005, Average Loss  1.448267, Time  0.456363
2021-09-24 10:59:11.775345 : Epoch  6, Batch      9, Loss  1.452271, Average Loss  1.448817, Time  0.443846
2021-09-24 10:59:12.812490 : Epoch  6, Batch     59, Loss  1.433185, Average Loss  1.448197, Time  0.439765
2021-09-24 10:59:17.724642 : Epoch  6, Batch     10, Loss  1.447976, Average Loss  1.448856, Time  0.447289
2021-09-24 10:59:18.759703 : Epoch  6, Batch     60, Loss  1.464485, Average Loss  1.448239, Time  0.439341
2021-09-24 10:59:23.678914 : Epoch  6, Batch     11, Loss  1.452728, Average Loss  1.448877, Time  0.445333
2021-09-24 10:59:29.618653 : Epoch  6, Batch     12, Loss  1.447360, Average Loss  1.448912, Time  0.443928
2021-09-24 10:59:35.589746 : Epoch  6, Batch     13, Loss  1.444472, Average Loss  1.448802, Time  0.444978
2021-09-24 10:59:41.521303 : Epoch  6, Batch     14, Loss  1.457012, Average Loss  1.448854, Time  0.446537
2021-09-24 10:59:47.470003 : Epoch  6, Batch     15, Loss  1.452159, Average Loss  1.448799, Time  0.459018
2021-09-24 10:59:53.387006 : Epoch  6, Batch     16, Loss  1.443978, Average Loss  1.448762, Time  0.444064
2021-09-24 10:59:59.323156 : Epoch  6, Batch     17, Loss  1.454096, Average Loss  1.448788, Time  0.445827
2021-09-24 11:00:05.285243 : Epoch  6, Batch     18, Loss  1.448773, Average Loss  1.448806, Time  0.446414
2021-09-24 11:00:11.224698 : Epoch  6, Batch     19, Loss  1.436886, Average Loss  1.448704, Time  0.443249
2021-09-24 11:00:17.159882 : Epoch  6, Batch     20, Loss  1.428295, Average Loss  1.448613, Time  0.444427
2021-09-24 11:00:23.096933 : Epoch  6, Batch     21, Loss  1.439404, Average Loss  1.448624, Time  0.447232
2021-09-24 11:00:29.035439 : Epoch  6, Batch     22, Loss  1.438406, Average Loss  1.448528, Time  0.443496
2021-09-24 11:00:34.975956 : Epoch  6, Batch     23, Loss  1.439793, Average Loss  1.448524, Time  0.456013
2021-09-24 11:00:40.931331 : Epoch  6, Batch     24, Loss  1.443784, Average Loss  1.448448, Time  0.444789
2021-09-24 11:00:46.887274 : Epoch  6, Batch     25, Loss  1.452641, Average Loss  1.448573, Time  0.445621
2021-09-24 11:00:52.803600 : Epoch  6, Batch     26, Loss  1.447167, Average Loss  1.448609, Time  0.443451
2021-09-24 11:00:58.736150 : Epoch  6, Batch     27, Loss  1.445501, Average Loss  1.448634, Time  0.444301
2021-09-24 11:01:04.680300 : Epoch  6, Batch     28, Loss  1.448045, Average Loss  1.448681, Time  0.444638
2021-09-24 11:01:10.634862 : Epoch  6, Batch     29, Loss  1.448188, Average Loss  1.448707, Time  0.443891
2021-09-24 11:01:16.572885 : Epoch  6, Batch     30, Loss  1.451895, Average Loss  1.448722, Time  0.445217
2021-09-24 11:01:22.542858 : Epoch  6, Batch     31, Loss  1.467426, Average Loss  1.448796, Time  0.460442
2021-09-24 11:01:28.478564 : Epoch  6, Batch     32, Loss  1.452616, Average Loss  1.448801, Time  0.444672
2021-09-24 11:01:34.403203 : Epoch  6, Batch     33, Loss  1.460980, Average Loss  1.448897, Time  0.446421
2021-09-24 11:01:40.333420 : Epoch  6, Batch     34, Loss  1.453846, Average Loss  1.448875, Time  0.443642
2021-09-24 11:01:46.284233 : Epoch  6, Batch     35, Loss  1.450482, Average Loss  1.448859, Time  0.444416
2021-09-24 11:01:50.680633 : Epoch  6, Batch     36, Loss  1.454620, Average Loss  1.448843, Time  0.343292
2021-09-24 11:01:56.621484 : Epoch  6, Batch     37, Loss  1.441997, Average Loss  1.448818, Time  0.443982
2021-09-24 11:02:02.549608 : Epoch  6, Batch     38, Loss  1.453679, Average Loss  1.448812, Time  0.450229
2021-09-24 11:02:08.512283 : Epoch  6, Batch     39, Loss  1.468007, Average Loss  1.448879, Time  0.461849
2021-09-24 11:02:14.471673 : Epoch  6, Batch     40, Loss  1.443336, Average Loss  1.448884, Time  0.444804
2021-09-24 11:02:20.428952 : Epoch  6, Batch     41, Loss  1.460745, Average Loss  1.448947, Time  0.443436
2021-09-24 11:02:26.359862 : Epoch  6, Batch     42, Loss  1.449870, Average Loss  1.448951, Time  0.448484
2021-09-24 11:02:32.296256 : Epoch  6, Batch     43, Loss  1.446955, Average Loss  1.448908, Time  0.448977
2021-09-24 11:02:38.233635 : Epoch  6, Batch     44, Loss  1.452388, Average Loss  1.448978, Time  0.444000
2021-09-24 11:02:44.170289 : Epoch  6, Batch     45, Loss  1.453839, Average Loss  1.449031, Time  0.446958
2021-09-24 11:02:50.129864 : Epoch  6, Batch     46, Loss  1.449997, Average Loss  1.448988, Time  0.443878
2021-09-24 11:02:56.083854 : Epoch  6, Batch     47, Loss  1.435674, Average Loss  1.448893, Time  0.455180
2021-09-24 11:03:02.013063 : Epoch  6, Batch     48, Loss  1.441161, Average Loss  1.448848, Time  0.444634
2021-09-24 11:03:07.940304 : Epoch  6, Batch     49, Loss  1.439739, Average Loss  1.448748, Time  0.445141
2021-09-24 11:03:13.874215 : Epoch  6, Batch     50, Loss  1.451666, Average Loss  1.448796, Time  0.446404
2021-09-24 11:03:19.810635 : Epoch  6, Batch     51, Loss  1.446311, Average Loss  1.448786, Time  0.444094
2021-09-24 11:03:25.786333 : Epoch  6, Batch     52, Loss  1.441834, Average Loss  1.448738, Time  0.446618
2021-09-24 11:03:31.747345 : Epoch  6, Batch     53, Loss  1.442848, Average Loss  1.448669, Time  0.446338
2021-09-24 11:03:37.679817 : Epoch  6, Batch     54, Loss  1.458323, Average Loss  1.448705, Time  0.445198
2021-09-24 11:03:43.630872 : Epoch  6, Batch     55, Loss  1.440282, Average Loss  1.448618, Time  0.458690
2021-09-24 11:03:49.572450 : Epoch  6, Batch     56, Loss  1.436197, Average Loss  1.448503, Time  0.447867
2021-09-24 11:03:55.510812 : Epoch  6, Batch     57, Loss  1.453329, Average Loss  1.448581, Time  0.444651
2021-09-24 11:03:56.478362 : CheckPoint: Validation Loss  0.00024939, Best Loss  0.00024726
2021-09-24 11:04:01.450062 : Epoch  6, Batch     58, Loss  1.447791, Average Loss  1.448542, Time  0.444637
2021-09-24 11:04:02.410249 : Epoch  6, Batch     61, Loss  1.452013, Average Loss  1.448246, Time  0.442117
2021-09-24 11:04:07.392735 : Epoch  6, Batch     59, Loss  1.447459, Average Loss  1.448557, Time  0.444101
2021-09-24 11:04:08.349969 : Epoch  6, Batch     62, Loss  1.450390, Average Loss  1.448330, Time  0.439997
2021-09-24 11:04:13.337374 : Epoch  6, Batch     60, Loss  1.448160, Average Loss  1.448551, Time  0.444871
2021-09-24 11:04:14.298413 : Epoch  6, Batch     63, Loss  1.456915, Average Loss  1.448322, Time  0.440236
2021-09-24 11:04:20.253902 : Epoch  6, Batch     64, Loss  1.449112, Average Loss  1.448377, Time  0.439351
2021-09-24 11:04:26.178666 : Epoch  6, Batch     65, Loss  1.448631, Average Loss  1.448435, Time  0.439202
2021-09-24 11:04:32.133775 : Epoch  6, Batch     66, Loss  1.447898, Average Loss  1.448430, Time  0.454092
2021-09-24 11:04:38.074931 : Epoch  6, Batch     67, Loss  1.449347, Average Loss  1.448406, Time  0.440307
2021-09-24 11:04:44.016390 : Epoch  6, Batch     68, Loss  1.450225, Average Loss  1.448401, Time  0.438678
2021-09-24 11:04:49.966461 : Epoch  6, Batch     69, Loss  1.455183, Average Loss  1.448423, Time  0.440637
2021-09-24 11:04:55.899541 : Epoch  6, Batch     70, Loss  1.449046, Average Loss  1.448405, Time  0.443477
2021-09-24 11:05:01.857861 : Epoch  6, Batch     71, Loss  1.455492, Average Loss  1.448394, Time  0.455969
2021-09-24 11:05:07.793848 : Epoch  6, Batch     72, Loss  1.456747, Average Loss  1.448463, Time  0.439273
2021-09-24 11:05:13.733528 : Epoch  6, Batch     73, Loss  1.446607, Average Loss  1.448446, Time  0.439929
2021-09-24 11:05:19.693797 : Epoch  6, Batch     74, Loss  1.456356, Average Loss  1.448480, Time  0.448414
2021-09-24 11:05:25.656304 : Epoch  6, Batch     75, Loss  1.454736, Average Loss  1.448491, Time  0.441258
2021-09-24 11:05:31.596399 : Epoch  6, Batch     76, Loss  1.454384, Average Loss  1.448534, Time  0.441386
2021-09-24 11:05:37.539671 : Epoch  6, Batch     77, Loss  1.463131, Average Loss  1.448514, Time  0.440622
2021-09-24 11:05:43.492286 : Epoch  6, Batch     78, Loss  1.445625, Average Loss  1.448555, Time  0.440790
2021-09-24 11:05:49.429192 : Epoch  6, Batch     79, Loss  1.442697, Average Loss  1.448577, Time  0.441016
2021-09-24 11:05:55.360318 : Epoch  6, Batch     80, Loss  1.439320, Average Loss  1.448519, Time  0.439002
2021-09-24 11:06:01.293518 : Epoch  6, Batch     81, Loss  1.462989, Average Loss  1.448567, Time  0.439041
2021-09-24 11:06:07.246822 : Epoch  6, Batch     82, Loss  1.436219, Average Loss  1.448494, Time  0.454751
2021-09-24 11:06:13.222464 : Epoch  6, Batch     83, Loss  1.454034, Average Loss  1.448550, Time  0.439096
2021-09-24 11:06:19.146701 : Epoch  6, Batch     84, Loss  1.447861, Average Loss  1.448580, Time  0.439356
2021-09-24 11:06:25.069434 : Epoch  6, Batch     85, Loss  1.454949, Average Loss  1.448630, Time  0.441477
2021-09-24 11:06:30.998459 : Epoch  6, Batch     86, Loss  1.453650, Average Loss  1.448628, Time  0.439351
2021-09-24 11:06:36.921560 : Epoch  6, Batch     87, Loss  1.431730, Average Loss  1.448549, Time  0.441078
2021-09-24 11:06:42.869290 : Epoch  6, Batch     88, Loss  1.444562, Average Loss  1.448587, Time  0.438614
2021-09-24 11:06:48.814802 : Epoch  6, Batch     89, Loss  1.437932, Average Loss  1.448563, Time  0.440366
2021-09-24 11:06:54.761566 : Epoch  6, Batch     90, Loss  1.443247, Average Loss  1.448588, Time  0.450698
2021-09-24 11:07:00.699938 : Epoch  6, Batch     91, Loss  1.460145, Average Loss  1.448735, Time  0.439423
2021-09-24 11:07:06.618429 : Epoch  6, Batch     92, Loss  1.441987, Average Loss  1.448717, Time  0.440964
2021-09-24 11:07:12.562605 : Epoch  6, Batch     93, Loss  1.454818, Average Loss  1.448763, Time  0.440159
2021-09-24 11:07:18.503506 : Epoch  6, Batch     94, Loss  1.432795, Average Loss  1.448681, Time  0.439693
2021-09-24 11:07:24.438239 : Epoch  6, Batch     95, Loss  1.453049, Average Loss  1.448637, Time  0.442270
2021-09-24 11:07:30.380417 : Epoch  6, Batch     96, Loss  1.463094, Average Loss  1.448682, Time  0.442908
2021-09-24 11:07:36.313154 : Epoch  6, Batch     97, Loss  1.435663, Average Loss  1.448582, Time  0.440099
2021-09-24 11:07:42.260870 : Epoch  6, Batch     98, Loss  1.440669, Average Loss  1.448525, Time  0.448795
2021-09-24 11:07:48.217385 : Epoch  6, Batch     99, Loss  1.452098, Average Loss  1.448593, Time  0.442438
2021-09-24 11:07:54.149808 : Epoch  6, Batch    100, Loss  1.437885, Average Loss  1.448548, Time  0.440957
2021-09-24 11:08:00.098460 : Epoch  6, Batch    101, Loss  1.460651, Average Loss  1.448652, Time  0.442125
2021-09-24 11:08:06.032796 : Epoch  6, Batch    102, Loss  1.465233, Average Loss  1.448756, Time  0.439205
2021-09-24 11:08:11.979314 : Epoch  6, Batch    103, Loss  1.449176, Average Loss  1.448766, Time  0.439573
2021-09-24 11:08:17.913718 : Epoch  6, Batch    104, Loss  1.449106, Average Loss  1.448826, Time  0.441892
2021-09-24 11:08:23.886845 : Epoch  6, Batch    105, Loss  1.454864, Average Loss  1.448830, Time  0.440967
2021-09-24 11:08:29.826571 : Epoch  6, Batch    106, Loss  1.457166, Average Loss  1.448840, Time  0.452665
2021-09-24 11:08:35.765952 : Epoch  6, Batch    107, Loss  1.450061, Average Loss  1.448854, Time  0.441530
2021-09-24 11:08:41.719545 : Epoch  6, Batch    108, Loss  1.464486, Average Loss  1.448961, Time  0.439378
2021-09-24 11:08:47.675594 : Epoch  6, Batch    109, Loss  1.452795, Average Loss  1.448942, Time  0.438441
2021-09-24 11:08:51.598306 : CheckPoint: Validation Loss  0.00025823, Best Loss  0.00024587
2021-09-24 11:08:53.603261 : Epoch  6, Batch    110, Loss  1.462113, Average Loss  1.448942, Time  0.442068
2021-09-24 11:08:57.566882 : Epoch  6, Batch     61, Loss  1.452721, Average Loss  1.448560, Time  0.445960
2021-09-24 11:08:59.563131 : Epoch  6, Batch    111, Loss  1.451500, Average Loss  1.448992, Time  0.441663
2021-09-24 11:09:03.515949 : Epoch  6, Batch     62, Loss  1.442421, Average Loss  1.448543, Time  0.449521
2021-09-24 11:09:05.508682 : Epoch  6, Batch    112, Loss  1.442592, Average Loss  1.448994, Time  0.442243
2021-09-24 11:09:09.457466 : Epoch  6, Batch     63, Loss  1.453427, Average Loss  1.448516, Time  0.449520
2021-09-24 11:09:11.443152 : Epoch  6, Batch    113, Loss  1.454540, Average Loss  1.449014, Time  0.456236
2021-09-24 11:09:15.393031 : Epoch  6, Batch     64, Loss  1.442795, Average Loss  1.448508, Time  0.446689
2021-09-24 11:09:17.370358 : Epoch  6, Batch    114, Loss  1.453984, Average Loss  1.448975, Time  0.439498
2021-09-24 11:09:21.335732 : Epoch  6, Batch     65, Loss  1.443404, Average Loss  1.448378, Time  0.444805
2021-09-24 11:09:23.309277 : Epoch  6, Batch    115, Loss  1.446620, Average Loss  1.449011, Time  0.441077
2021-09-24 11:09:27.308791 : Epoch  6, Batch     66, Loss  1.447836, Average Loss  1.448401, Time  0.443280
2021-09-24 11:09:29.246568 : Epoch  6, Batch    116, Loss  1.446478, Average Loss  1.449036, Time  0.439052
2021-09-24 11:09:33.243327 : Epoch  6, Batch     67, Loss  1.442546, Average Loss  1.448338, Time  0.444720
2021-09-24 11:09:35.173670 : Epoch  6, Batch    117, Loss  1.448786, Average Loss  1.449051, Time  0.441490
2021-09-24 11:09:39.175940 : Epoch  6, Batch     68, Loss  1.452170, Average Loss  1.448346, Time  0.448156
2021-09-24 11:09:41.099036 : Epoch  6, Batch    118, Loss  1.450090, Average Loss  1.449080, Time  0.442705
2021-09-24 11:09:45.114217 : Epoch  6, Batch     69, Loss  1.452492, Average Loss  1.448369, Time  0.444044
2021-09-24 11:09:47.028832 : Epoch  6, Batch    119, Loss  1.445349, Average Loss  1.449094, Time  0.440697
2021-09-24 11:09:51.061859 : Epoch  6, Batch     70, Loss  1.446695, Average Loss  1.448348, Time  0.452164
2021-09-24 11:09:52.965773 : Epoch  6, Batch    120, Loss  1.459846, Average Loss  1.449160, Time  0.444498
2021-09-24 11:09:56.991383 : Epoch  6, Batch     71, Loss  1.455138, Average Loss  1.448390, Time  0.445478
2021-09-24 11:09:58.915232 : Epoch  6, Batch    121, Loss  1.440496, Average Loss  1.449129, Time  0.452723
2021-09-24 11:10:02.951315 : Epoch  6, Batch     72, Loss  1.435455, Average Loss  1.448299, Time  0.443207
2021-09-24 11:10:04.846422 : Epoch  6, Batch    122, Loss  1.460716, Average Loss  1.449196, Time  0.444583
2021-09-24 11:10:08.890194 : Epoch  6, Batch     73, Loss  1.442193, Average Loss  1.448232, Time  0.443847
2021-09-24 11:10:10.773729 : Epoch  6, Batch    123, Loss  1.438466, Average Loss  1.449194, Time  0.442049
2021-09-24 11:10:14.829757 : Epoch  6, Batch     74, Loss  1.435892, Average Loss  1.448179, Time  0.445526
2021-09-24 11:10:16.708430 : Epoch  6, Batch    124, Loss  1.454723, Average Loss  1.449222, Time  0.440487
2021-09-24 11:10:20.763666 : Epoch  6, Batch     75, Loss  1.440380, Average Loss  1.448163, Time  0.443387
2021-09-24 11:10:22.639452 : Epoch  6, Batch    125, Loss  1.451480, Average Loss  1.449207, Time  0.442253
2021-09-24 11:10:26.711688 : Epoch  6, Batch     76, Loss  1.447652, Average Loss  1.448159, Time  0.445221
2021-09-24 11:10:28.581612 : Epoch  6, Batch    126, Loss  1.449479, Average Loss  1.449269, Time  0.440442
2021-09-24 11:10:32.662827 : Epoch  6, Batch     77, Loss  1.430752, Average Loss  1.448041, Time  0.448161
2021-09-24 11:10:34.519279 : Epoch  6, Batch    127, Loss  1.440364, Average Loss  1.449245, Time  0.443916
2021-09-24 11:10:38.640770 : Epoch  6, Batch     78, Loss  1.429787, Average Loss  1.447918, Time  0.455755
2021-09-24 11:10:40.451694 : Epoch  6, Batch    128, Loss  1.450293, Average Loss  1.449228, Time  0.441572
2021-09-24 11:10:44.566161 : Epoch  6, Batch     79, Loss  1.462648, Average Loss  1.447997, Time  0.443976
2021-09-24 11:10:46.394322 : Epoch  6, Batch    129, Loss  1.441383, Average Loss  1.449176, Time  0.450616
2021-09-24 11:10:50.491931 : Epoch  6, Batch     80, Loss  1.446438, Average Loss  1.448000, Time  0.443181
2021-09-24 11:10:52.323407 : Epoch  6, Batch    130, Loss  1.460880, Average Loss  1.449230, Time  0.440573
2021-09-24 11:10:56.422968 : Epoch  6, Batch     81, Loss  1.450666, Average Loss  1.447983, Time  0.443510
2021-09-24 11:10:58.251627 : Epoch  6, Batch    131, Loss  1.438682, Average Loss  1.449164, Time  0.440168
2021-09-24 11:11:02.340420 : Epoch  6, Batch     82, Loss  1.442759, Average Loss  1.447988, Time  0.443791
2021-09-24 11:11:04.177203 : Epoch  6, Batch    132, Loss  1.436108, Average Loss  1.449089, Time  0.441667
2021-09-24 11:11:08.292939 : Epoch  6, Batch     83, Loss  1.451589, Average Loss  1.447991, Time  0.446784
2021-09-24 11:11:10.112326 : Epoch  6, Batch    133, Loss  1.444940, Average Loss  1.449079, Time  0.438514
2021-09-24 11:11:14.215090 : Epoch  6, Batch     84, Loss  1.444211, Average Loss  1.447944, Time  0.447167
2021-09-24 11:11:16.043774 : Epoch  6, Batch    134, Loss  1.439981, Average Loss  1.449025, Time  0.438958
2021-09-24 11:11:20.143869 : Epoch  6, Batch     85, Loss  1.444641, Average Loss  1.447906, Time  0.445546
2021-09-24 11:11:21.992441 : Epoch  6, Batch    135, Loss  1.453479, Average Loss  1.449070, Time  0.442013
2021-09-24 11:11:26.089217 : Epoch  6, Batch     86, Loss  1.447308, Average Loss  1.447961, Time  0.456429
2021-09-24 11:11:27.910161 : Epoch  6, Batch    136, Loss  1.463433, Average Loss  1.449096, Time  0.440434
2021-09-24 11:11:32.032001 : Epoch  6, Batch     87, Loss  1.440326, Average Loss  1.447918, Time  0.446785
2021-09-24 11:11:33.854453 : Epoch  6, Batch    137, Loss  1.444642, Average Loss  1.449047, Time  0.449698
2021-09-24 11:11:37.980344 : Epoch  6, Batch     88, Loss  1.458167, Average Loss  1.447907, Time  0.446608
2021-09-24 11:11:39.797474 : Epoch  6, Batch    138, Loss  1.434320, Average Loss  1.448964, Time  0.439852
2021-09-24 11:11:43.948389 : Epoch  6, Batch     89, Loss  1.449825, Average Loss  1.447900, Time  0.443544
2021-09-24 11:11:45.731071 : Epoch  6, Batch    139, Loss  1.465527, Average Loss  1.449108, Time  0.439311
2021-09-24 11:11:49.881713 : Epoch  6, Batch     90, Loss  1.443831, Average Loss  1.447868, Time  0.443821
2021-09-24 11:11:51.666957 : Epoch  6, Batch    140, Loss  1.452571, Average Loss  1.449102, Time  0.442852
2021-09-24 11:11:55.824426 : Epoch  6, Batch     91, Loss  1.437248, Average Loss  1.447826, Time  0.447318
2021-09-24 11:11:57.606664 : Epoch  6, Batch    141, Loss  1.440467, Average Loss  1.449063, Time  0.442963
2021-09-24 11:12:01.769924 : Epoch  6, Batch     92, Loss  1.450387, Average Loss  1.447805, Time  0.446542
2021-09-24 11:12:03.551487 : Epoch  6, Batch    142, Loss  1.448904, Average Loss  1.449062, Time  0.439194
2021-09-24 11:12:07.694463 : Epoch  6, Batch     93, Loss  1.450216, Average Loss  1.447773, Time  0.444033
2021-09-24 11:12:09.514599 : Epoch  6, Batch    143, Loss  1.447881, Average Loss  1.449048, Time  0.440025
2021-09-24 11:12:13.672153 : Epoch  6, Batch     94, Loss  1.439989, Average Loss  1.447771, Time  0.460281
2021-09-24 11:12:15.470229 : Epoch  6, Batch    144, Loss  1.438332, Average Loss  1.449066, Time  0.450256
2021-09-24 11:12:19.600021 : Epoch  6, Batch     95, Loss  1.448420, Average Loss  1.447787, Time  0.444832
2021-09-24 11:12:21.407472 : Epoch  6, Batch    145, Loss  1.451712, Average Loss  1.449009, Time  0.439960
2021-09-24 11:12:25.545936 : Epoch  6, Batch     96, Loss  1.443301, Average Loss  1.447739, Time  0.445139
2021-09-24 11:12:27.334702 : Epoch  6, Batch    146, Loss  1.443474, Average Loss  1.449008, Time  0.438937
2021-09-24 11:12:31.492924 : Epoch  6, Batch     97, Loss  1.436733, Average Loss  1.447782, Time  0.446616
2021-09-24 11:12:33.260323 : Epoch  6, Batch    147, Loss  1.440954, Average Loss  1.448908, Time  0.442146
2021-09-24 11:12:37.435934 : Epoch  6, Batch     98, Loss  1.443302, Average Loss  1.447720, Time  0.443804
2021-09-24 11:12:37.647844 : Epoch  6, Batch    148, Loss  1.434206, Average Loss  1.448820, Time  0.343179
2021-09-24 11:12:43.372861 : Epoch  6, Batch     99, Loss  1.450644, Average Loss  1.447743, Time  0.443907
2021-09-24 11:12:43.582856 : Epoch  6, Batch    149, Loss  1.436244, Average Loss  1.448740, Time  0.438944
2021-09-24 11:12:49.337831 : Epoch  6, Batch    100, Loss  1.452818, Average Loss  1.447735, Time  0.444350
2021-09-24 11:12:49.521128 : Epoch  6, Batch    150, Loss  1.445630, Average Loss  1.448694, Time  0.444731
2021-09-24 11:12:55.281815 : Epoch  6, Batch    101, Loss  1.445110, Average Loss  1.447650, Time  0.448380
2021-09-24 11:12:55.446819 : Epoch  6, Batch    151, Loss  1.444902, Average Loss  1.448716, Time  0.438880
2021-09-24 11:13:01.242248 : Epoch  6, Batch    102, Loss  1.450735, Average Loss  1.447683, Time  0.453456
2021-09-24 11:13:01.384996 : Epoch  6, Batch    152, Loss  1.453287, Average Loss  1.448766, Time  0.452734
2021-09-24 11:13:07.201187 : Epoch  6, Batch    103, Loss  1.452839, Average Loss  1.447680, Time  0.445119
2021-09-24 11:13:07.312788 : Epoch  6, Batch    153, Loss  1.445533, Average Loss  1.448717, Time  0.439761
2021-09-24 11:13:13.139917 : Epoch  6, Batch    104, Loss  1.460285, Average Loss  1.447782, Time  0.446772
2021-09-24 11:13:13.230455 : Epoch  6, Batch    154, Loss  1.461222, Average Loss  1.448738, Time  0.441053
2021-09-24 11:13:19.098541 : Epoch  6, Batch    105, Loss  1.436869, Average Loss  1.447716, Time  0.448467
2021-09-24 11:13:19.175866 : Epoch  6, Batch    155, Loss  1.447598, Average Loss  1.448745, Time  0.439380
2021-09-24 11:13:25.039948 : Epoch  6, Batch    106, Loss  1.448162, Average Loss  1.447704, Time  0.445647
2021-09-24 11:13:25.114920 : Epoch  6, Batch    156, Loss  1.439866, Average Loss  1.448727, Time  0.443158
2021-09-24 11:13:30.991463 : Epoch  6, Batch    107, Loss  1.444406, Average Loss  1.447699, Time  0.444729
2021-09-24 11:13:31.091765 : Epoch  6, Batch    157, Loss  1.450319, Average Loss  1.448765, Time  0.441233
2021-09-24 11:13:36.931970 : Epoch  6, Batch    108, Loss  1.452271, Average Loss  1.447725, Time  0.451882
2021-09-24 11:13:37.001839 : Epoch  6, Batch    158, Loss  1.447661, Average Loss  1.448758, Time  0.439527
2021-09-24 11:13:42.874824 : Epoch  6, Batch    109, Loss  1.446758, Average Loss  1.447724, Time  0.454899
2021-09-24 11:13:42.936026 : Epoch  6, Batch    159, Loss  1.453291, Average Loss  1.448779, Time  0.438823
2021-09-24 11:13:48.815871 : Epoch  6, Batch    110, Loss  1.445850, Average Loss  1.447701, Time  0.445019
2021-09-24 11:13:48.896470 : Epoch  6, Batch    160, Loss  1.446360, Average Loss  1.448803, Time  0.450236
2021-09-24 11:13:54.787280 : Epoch  6, Batch    111, Loss  1.448216, Average Loss  1.447678, Time  0.445021
2021-09-24 11:14:00.716857 : Epoch  6, Batch    112, Loss  1.454949, Average Loss  1.447737, Time  0.443508
2021-09-24 11:14:06.675361 : Epoch  6, Batch    113, Loss  1.452244, Average Loss  1.447750, Time  0.443828
2021-09-24 11:14:12.605370 : Epoch  6, Batch    114, Loss  1.448281, Average Loss  1.447811, Time  0.444746
2021-09-24 11:14:18.553785 : Epoch  6, Batch    115, Loss  1.451831, Average Loss  1.447823, Time  0.443574
2021-09-24 11:14:24.502532 : Epoch  6, Batch    116, Loss  1.439014, Average Loss  1.447788, Time  0.446570
2021-09-24 11:14:30.458867 : Epoch  6, Batch    117, Loss  1.446934, Average Loss  1.447767, Time  0.455131
2021-09-24 11:14:36.416313 : Epoch  6, Batch    118, Loss  1.457527, Average Loss  1.447894, Time  0.444005
2021-09-24 11:14:42.343383 : Epoch  6, Batch    119, Loss  1.451263, Average Loss  1.447856, Time  0.444923
2021-09-24 11:14:48.272591 : Epoch  6, Batch    120, Loss  1.452323, Average Loss  1.447885, Time  0.446104
2021-09-24 11:14:54.206879 : Epoch  6, Batch    121, Loss  1.454212, Average Loss  1.447929, Time  0.444433
2021-09-24 11:15:00.173359 : Epoch  6, Batch    122, Loss  1.447587, Average Loss  1.447919, Time  0.443159
2021-09-24 11:15:06.095724 : Epoch  6, Batch    123, Loss  1.446250, Average Loss  1.447944, Time  0.442770
2021-09-24 11:15:12.040654 : Epoch  6, Batch    124, Loss  1.441130, Average Loss  1.447896, Time  0.445890
2021-09-24 11:15:18.004382 : Epoch  6, Batch    125, Loss  1.448700, Average Loss  1.447927, Time  0.459530
2021-09-24 11:15:23.933810 : Epoch  6, Batch    126, Loss  1.440857, Average Loss  1.447880, Time  0.450560
2021-09-24 11:15:29.847264 : Epoch  6, Batch    127, Loss  1.453751, Average Loss  1.447887, Time  0.445493
2021-09-24 11:15:35.806846 : Epoch  6, Batch    128, Loss  1.448050, Average Loss  1.447932, Time  0.443187
2021-09-24 11:15:41.763884 : Epoch  6, Batch    129, Loss  1.452264, Average Loss  1.447999, Time  0.457487
2021-09-24 11:15:47.694367 : Epoch  6, Batch    130, Loss  1.448001, Average Loss  1.448017, Time  0.446916
2021-09-24 11:15:53.642989 : Epoch  6, Batch    131, Loss  1.453588, Average Loss  1.448088, Time  0.446927
2021-09-24 11:15:59.599205 : Epoch  6, Batch    132, Loss  1.460969, Average Loss  1.448217, Time  0.444172
2021-09-24 11:16:05.602375 : Epoch  6, Batch    133, Loss  1.448221, Average Loss  1.448212, Time  0.457244
2021-09-24 11:16:11.525004 : Epoch  6, Batch    134, Loss  1.450507, Average Loss  1.448196, Time  0.446033
2021-09-24 11:16:17.453724 : Epoch  6, Batch    135, Loss  1.448036, Average Loss  1.448202, Time  0.443058
2021-09-24 11:16:23.419106 : Epoch  6, Batch    136, Loss  1.442809, Average Loss  1.448213, Time  0.444251
2021-09-24 11:16:29.348285 : Epoch  6, Batch    137, Loss  1.445802, Average Loss  1.448208, Time  0.443990
2021-09-24 11:16:35.293627 : Epoch  6, Batch    138, Loss  1.450175, Average Loss  1.448308, Time  0.447604
2021-09-24 11:16:41.247911 : Epoch  6, Batch    139, Loss  1.451043, Average Loss  1.448324, Time  0.444225
2021-09-24 11:16:47.195599 : Epoch  6, Batch    140, Loss  1.446049, Average Loss  1.448365, Time  0.458018
2021-09-24 11:16:53.127890 : Epoch  6, Batch    141, Loss  1.446787, Average Loss  1.448338, Time  0.444524
2021-09-24 11:16:59.068712 : Epoch  6, Batch    142, Loss  1.449640, Average Loss  1.448392, Time  0.444216
2021-09-24 11:17:05.008019 : Epoch  6, Batch    143, Loss  1.452043, Average Loss  1.448403, Time  0.448341
2021-09-24 11:17:10.966894 : Epoch  6, Batch    144, Loss  1.435267, Average Loss  1.448306, Time  0.444934
2021-09-24 11:17:16.891308 : Epoch  6, Batch    145, Loss  1.443669, Average Loss  1.448324, Time  0.443396
2021-09-24 11:17:22.823164 : Epoch  6, Batch    146, Loss  1.453744, Average Loss  1.448331, Time  0.444687
2021-09-24 11:17:28.756758 : Epoch  6, Batch    147, Loss  1.442160, Average Loss  1.448240, Time  0.443655
2021-09-24 11:17:34.719727 : Epoch  6, Batch    148, Loss  1.453600, Average Loss  1.448258, Time  0.462290
2021-09-24 11:17:40.664915 : Epoch  6, Batch    149, Loss  1.461608, Average Loss  1.448353, Time  0.446418
2021-09-24 11:17:46.625573 : Epoch  6, Batch    150, Loss  1.458536, Average Loss  1.448442, Time  0.445825
2021-09-24 11:17:52.578727 : Epoch  6, Batch    151, Loss  1.453966, Average Loss  1.448474, Time  0.444552
2021-09-24 11:17:58.524491 : Epoch  6, Batch    152, Loss  1.442659, Average Loss  1.448443, Time  0.443575
2021-09-24 11:18:04.450868 : Epoch  6, Batch    153, Loss  1.451429, Average Loss  1.448447, Time  0.444068
2021-09-24 11:18:10.393144 : Epoch  6, Batch    154, Loss  1.462549, Average Loss  1.448547, Time  0.443760
2021-09-24 11:18:16.341694 : Epoch  6, Batch    155, Loss  1.439187, Average Loss  1.448480, Time  0.444989
2021-09-24 11:18:22.287292 : Epoch  6, Batch    156, Loss  1.449252, Average Loss  1.448406, Time  0.453247
2021-09-24 11:18:26.680526 : CheckPoint: Validation Loss  0.00025495, Best Loss  0.00024726
2021-09-24 11:18:28.231689 : Epoch  6, Batch    157, Loss  1.439849, Average Loss  1.448396, Time  0.444408
2021-09-24 11:18:32.608847 : Epoch  6, Batch    161, Loss  1.449805, Average Loss  1.448755, Time  0.439012
2021-09-24 11:18:34.163416 : Epoch  6, Batch    158, Loss  1.441313, Average Loss  1.448331, Time  0.447256
2021-09-24 11:18:38.541619 : Epoch  6, Batch    162, Loss  1.446654, Average Loss  1.448769, Time  0.439574
2021-09-24 11:18:40.101421 : Epoch  6, Batch    159, Loss  1.438440, Average Loss  1.448213, Time  0.444600
2021-09-24 11:18:44.484552 : Epoch  6, Batch    163, Loss  1.440046, Average Loss  1.448779, Time  0.439349
2021-09-24 11:18:46.036418 : Epoch  6, Batch    160, Loss  1.448087, Average Loss  1.448153, Time  0.446315
2021-09-24 11:18:50.444814 : Epoch  6, Batch    164, Loss  1.459826, Average Loss  1.448828, Time  0.440126
2021-09-24 11:18:56.394285 : Epoch  6, Batch    165, Loss  1.451913, Average Loss  1.448768, Time  0.438709
2021-09-24 11:19:02.327424 : Epoch  6, Batch    166, Loss  1.446782, Average Loss  1.448798, Time  0.440920
2021-09-24 11:19:08.252856 : Epoch  6, Batch    167, Loss  1.447289, Average Loss  1.448790, Time  0.451094
2021-09-24 11:19:14.179623 : Epoch  6, Batch    168, Loss  1.441276, Average Loss  1.448777, Time  0.439664
2021-09-24 11:19:20.117974 : Epoch  6, Batch    169, Loss  1.448498, Average Loss  1.448822, Time  0.445310
2021-09-24 11:19:26.066613 : Epoch  6, Batch    170, Loss  1.437707, Average Loss  1.448807, Time  0.440797
2021-09-24 11:19:32.014511 : Epoch  6, Batch    171, Loss  1.449831, Average Loss  1.448797, Time  0.439288
2021-09-24 11:19:37.968222 : Epoch  6, Batch    172, Loss  1.445658, Average Loss  1.448809, Time  0.440739
2021-09-24 11:19:43.899808 : Epoch  6, Batch    173, Loss  1.464225, Average Loss  1.448911, Time  0.441747
2021-09-24 11:19:49.827997 : Epoch  6, Batch    174, Loss  1.439976, Average Loss  1.448924, Time  0.438648
2021-09-24 11:19:55.769988 : Epoch  6, Batch    175, Loss  1.447753, Average Loss  1.448929, Time  0.447880
2021-09-24 11:20:01.704992 : Epoch  6, Batch    176, Loss  1.441613, Average Loss  1.448880, Time  0.439628
2021-09-24 11:20:07.631748 : Epoch  6, Batch    177, Loss  1.462263, Average Loss  1.448947, Time  0.439804
2021-09-24 11:20:13.573477 : Epoch  6, Batch    178, Loss  1.443397, Average Loss  1.448897, Time  0.442305
2021-09-24 11:20:19.512746 : Epoch  6, Batch    179, Loss  1.453537, Average Loss  1.448950, Time  0.445771
2021-09-24 11:20:25.463412 : Epoch  6, Batch    180, Loss  1.441766, Average Loss  1.448882, Time  0.442301
2021-09-24 11:20:31.405742 : Epoch  6, Batch    181, Loss  1.441135, Average Loss  1.448822, Time  0.438793
2021-09-24 11:20:37.354843 : Epoch  6, Batch    182, Loss  1.445481, Average Loss  1.448764, Time  0.440148
2021-09-24 11:20:43.308500 : Epoch  6, Batch    183, Loss  1.442197, Average Loss  1.448750, Time  0.454018
2021-09-24 11:20:49.246486 : Epoch  6, Batch    184, Loss  1.445019, Average Loss  1.448722, Time  0.440022
2021-09-24 11:20:55.193765 : Epoch  6, Batch    185, Loss  1.454139, Average Loss  1.448666, Time  0.448938
2021-09-24 11:21:01.130257 : Epoch  6, Batch    186, Loss  1.471020, Average Loss  1.448789, Time  0.440527
2021-09-24 11:21:07.087074 : Epoch  6, Batch    187, Loss  1.449594, Average Loss  1.448814, Time  0.440262
2021-09-24 11:21:13.026811 : Epoch  6, Batch    188, Loss  1.457241, Average Loss  1.448850, Time  0.439481
2021-09-24 11:21:18.980779 : Epoch  6, Batch    189, Loss  1.462883, Average Loss  1.448875, Time  0.439926
2021-09-24 11:21:24.931418 : Epoch  6, Batch    190, Loss  1.446173, Average Loss  1.448833, Time  0.439608
2021-09-24 11:21:30.873871 : Epoch  6, Batch    191, Loss  1.453571, Average Loss  1.448876, Time  0.452104
2021-09-24 11:21:36.809785 : Epoch  6, Batch    192, Loss  1.435524, Average Loss  1.448748, Time  0.440588
2021-09-24 11:21:42.758854 : Epoch  6, Batch    193, Loss  1.449353, Average Loss  1.448805, Time  0.439650
2021-09-24 11:21:48.695156 : Epoch  6, Batch    194, Loss  1.455225, Average Loss  1.448801, Time  0.442095
2021-09-24 11:21:54.633967 : Epoch  6, Batch    195, Loss  1.438781, Average Loss  1.448744, Time  0.440486
2021-09-24 11:22:00.567119 : Epoch  6, Batch    196, Loss  1.444533, Average Loss  1.448705, Time  0.439147
2021-09-24 11:22:06.492159 : Epoch  6, Batch    197, Loss  1.435959, Average Loss  1.448651, Time  0.439440
2021-09-24 11:22:12.433574 : Epoch  6, Batch    198, Loss  1.440058, Average Loss  1.448643, Time  0.441199
2021-09-24 11:22:18.395923 : Epoch  6, Batch    199, Loss  1.447972, Average Loss  1.448652, Time  0.454704
2021-09-24 11:22:24.345223 : Epoch  6, Batch    200, Loss  1.447510, Average Loss  1.448651, Time  0.447844
2021-09-24 11:22:30.150255 : Epoch  6, Batch    201, Loss  1.437033, Average Loss  1.448563, Time  0.438177
2021-09-24 11:22:35.816101 : Epoch  6, Batch    202, Loss  1.451301, Average Loss  1.448619, Time  0.437647
2021-09-24 11:22:41.443266 : Epoch  6, Batch    203, Loss  1.448346, Average Loss  1.448600, Time  0.440362
2021-09-24 11:22:47.066598 : Epoch  6, Batch    204, Loss  1.443309, Average Loss  1.448567, Time  0.436630
2021-09-24 11:22:52.717513 : Epoch  6, Batch    205, Loss  1.442330, Average Loss  1.448488, Time  0.440091
2021-09-24 11:22:58.400268 : Epoch  6, Batch    206, Loss  1.449886, Average Loss  1.448438, Time  0.437344
2021-09-24 11:23:04.044018 : Epoch  6, Batch    207, Loss  1.443267, Average Loss  1.448416, Time  0.451512
2021-09-24 11:23:09.719141 : Epoch  6, Batch    208, Loss  1.438495, Average Loss  1.448363, Time  0.439066
2021-09-24 11:23:15.351715 : Epoch  6, Batch    209, Loss  1.448550, Average Loss  1.448395, Time  0.437640
2021-09-24 11:23:20.948577 : Epoch  6, Batch    210, Loss  1.436313, Average Loss  1.448318, Time  0.438651
2021-09-24 11:23:21.359408 : CheckPoint: Validation Loss  0.00025472, Best Loss  0.00024587
2021-09-24 11:23:26.526371 : Epoch  6, Batch    211, Loss  1.462091, Average Loss  1.448400, Time  0.438017
2021-09-24 11:23:26.926691 : Epoch  6, Batch    161, Loss  1.448345, Average Loss  1.448183, Time  0.442153
2021-09-24 11:23:32.197258 : Epoch  6, Batch    212, Loss  1.439974, Average Loss  1.448379, Time  0.437616
2021-09-24 11:23:32.587230 : Epoch  6, Batch    162, Loss  1.448920, Average Loss  1.448263, Time  0.441123
2021-09-24 11:23:37.959812 : Epoch  6, Batch    213, Loss  1.435459, Average Loss  1.448269, Time  0.439806
2021-09-24 11:23:38.339910 : Epoch  6, Batch    163, Loss  1.443078, Average Loss  1.448221, Time  0.442800
2021-09-24 11:23:43.773908 : Epoch  6, Batch    214, Loss  1.434586, Average Loss  1.448249, Time  0.440011
2021-09-24 11:23:44.158398 : Epoch  6, Batch    164, Loss  1.451328, Average Loss  1.448210, Time  0.452299
2021-09-24 11:23:49.582949 : Epoch  6, Batch    215, Loss  1.452191, Average Loss  1.448258, Time  0.446606
2021-09-24 11:23:49.935380 : Epoch  6, Batch    165, Loss  1.457545, Average Loss  1.448220, Time  0.443435
2021-09-24 11:23:55.269880 : Epoch  6, Batch    216, Loss  1.455675, Average Loss  1.448346, Time  0.437835
2021-09-24 11:23:55.600089 : Epoch  6, Batch    166, Loss  1.437291, Average Loss  1.448190, Time  0.441562
2021-09-24 11:24:00.892171 : Epoch  6, Batch    217, Loss  1.441387, Average Loss  1.448245, Time  0.437860
2021-09-24 11:24:01.222434 : Epoch  6, Batch    167, Loss  1.444761, Average Loss  1.448161, Time  0.441632
2021-09-24 11:24:06.504424 : Epoch  6, Batch    218, Loss  1.449074, Average Loss  1.448265, Time  0.436969
2021-09-24 11:24:06.828108 : Epoch  6, Batch    168, Loss  1.449249, Average Loss  1.448069, Time  0.442184
2021-09-24 11:24:12.144350 : Epoch  6, Batch    219, Loss  1.434002, Average Loss  1.448270, Time  0.438643
2021-09-24 11:24:12.457656 : Epoch  6, Batch    169, Loss  1.450619, Average Loss  1.448065, Time  0.444407
2021-09-24 11:24:17.873524 : Epoch  6, Batch    220, Loss  1.451799, Average Loss  1.448279, Time  0.437016
2021-09-24 11:24:18.186016 : Epoch  6, Batch    170, Loss  1.448449, Average Loss  1.448011, Time  0.441753
2021-09-24 11:24:23.554494 : Epoch  6, Batch    221, Loss  1.444907, Average Loss  1.448304, Time  0.437442
2021-09-24 11:24:23.877484 : Epoch  6, Batch    171, Loss  1.444776, Average Loss  1.448010, Time  0.442860
2021-09-24 11:24:29.171804 : Epoch  6, Batch    222, Loss  1.435855, Average Loss  1.448256, Time  0.437708
2021-09-24 11:24:29.524278 : Epoch  6, Batch    172, Loss  1.465267, Average Loss  1.448096, Time  0.442605
2021-09-24 11:24:34.832036 : Epoch  6, Batch    223, Loss  1.455634, Average Loss  1.448267, Time  0.449649
2021-09-24 11:24:35.180863 : Epoch  6, Batch    173, Loss  1.451112, Average Loss  1.448145, Time  0.456949
2021-09-24 11:24:40.429660 : Epoch  6, Batch    224, Loss  1.434147, Average Loss  1.448149, Time  0.438566
2021-09-24 11:24:40.789189 : Epoch  6, Batch    174, Loss  1.456360, Average Loss  1.448156, Time  0.443082
2021-09-24 11:24:46.026001 : Epoch  6, Batch    225, Loss  1.464296, Average Loss  1.448194, Time  0.438713
2021-09-24 11:24:46.409575 : Epoch  6, Batch    175, Loss  1.452561, Average Loss  1.448098, Time  0.442978
2021-09-24 11:24:51.663749 : Epoch  6, Batch    226, Loss  1.436400, Average Loss  1.448061, Time  0.438945
2021-09-24 11:24:52.058159 : Epoch  6, Batch    176, Loss  1.457538, Average Loss  1.448100, Time  0.444534
2021-09-24 11:24:57.296917 : Epoch  6, Batch    227, Loss  1.450841, Average Loss  1.448066, Time  0.441226
2021-09-24 11:24:57.691434 : Epoch  6, Batch    177, Loss  1.469078, Average Loss  1.448181, Time  0.442816
2021-09-24 11:25:02.917325 : Epoch  6, Batch    228, Loss  1.450731, Average Loss  1.448147, Time  0.437229
2021-09-24 11:25:03.304789 : Epoch  6, Batch    178, Loss  1.449921, Average Loss  1.448143, Time  0.440999
2021-09-24 11:25:08.531987 : Epoch  6, Batch    229, Loss  1.446951, Average Loss  1.448152, Time  0.438468
2021-09-24 11:25:08.948290 : Epoch  6, Batch    179, Loss  1.446494, Average Loss  1.448118, Time  0.442229
2021-09-24 11:25:14.151397 : Epoch  6, Batch    230, Loss  1.431903, Average Loss  1.448095, Time  0.437776
2021-09-24 11:25:14.574844 : Epoch  6, Batch    180, Loss  1.445245, Average Loss  1.448095, Time  0.442473
2021-09-24 11:25:19.800843 : Epoch  6, Batch    231, Loss  1.450011, Average Loss  1.448086, Time  0.438916
2021-09-24 11:25:20.216844 : Epoch  6, Batch    181, Loss  1.451556, Average Loss  1.448126, Time  0.452605
2021-09-24 11:25:25.478483 : Epoch  6, Batch    232, Loss  1.442770, Average Loss  1.448044, Time  0.448488
2021-09-24 11:25:25.884618 : Epoch  6, Batch    182, Loss  1.439243, Average Loss  1.448039, Time  0.442854
2021-09-24 11:25:31.189269 : Epoch  6, Batch    233, Loss  1.446841, Average Loss  1.448031, Time  0.438906
2021-09-24 11:25:31.585385 : Epoch  6, Batch    183, Loss  1.441485, Average Loss  1.448009, Time  0.442336
2021-09-24 11:25:36.942752 : Epoch  6, Batch    234, Loss  1.455276, Average Loss  1.448058, Time  0.436364
2021-09-24 11:25:37.306804 : Epoch  6, Batch    184, Loss  1.440336, Average Loss  1.447964, Time  0.442066
2021-09-24 11:25:42.506711 : Epoch  6, Batch    235, Loss  1.446814, Average Loss  1.448008, Time  0.437757
2021-09-24 11:25:42.866426 : Epoch  6, Batch    185, Loss  1.455088, Average Loss  1.447983, Time  0.442286
2021-09-24 11:25:48.140787 : Epoch  6, Batch    236, Loss  1.454610, Average Loss  1.448089, Time  0.436845
2021-09-24 11:25:48.506241 : Epoch  6, Batch    186, Loss  1.453272, Average Loss  1.447991, Time  0.443013
2021-09-24 11:25:53.763969 : Epoch  6, Batch    237, Loss  1.447628, Average Loss  1.448032, Time  0.437769
2021-09-24 11:25:54.120469 : Epoch  6, Batch    187, Loss  1.445614, Average Loss  1.447949, Time  0.443592
2021-09-24 11:25:59.398269 : Epoch  6, Batch    238, Loss  1.446058, Average Loss  1.448022, Time  0.438192
2021-09-24 11:25:59.762114 : Epoch  6, Batch    188, Loss  1.449330, Average Loss  1.447958, Time  0.442016
2021-09-24 11:26:05.025236 : Epoch  6, Batch    239, Loss  1.453635, Average Loss  1.448029, Time  0.438301
2021-09-24 11:26:05.400915 : Epoch  6, Batch    189, Loss  1.454980, Average Loss  1.447987, Time  0.460017
2021-09-24 11:26:10.694415 : Epoch  6, Batch    240, Loss  1.453999, Average Loss  1.448143, Time  0.452758
2021-09-24 11:26:11.042864 : Epoch  6, Batch    190, Loss  1.447749, Average Loss  1.447975, Time  0.442900
2021-09-24 11:26:16.292351 : Epoch  6, Batch    241, Loss  1.459075, Average Loss  1.448179, Time  0.438339
2021-09-24 11:26:16.642083 : Epoch  6, Batch    191, Loss  1.456937, Average Loss  1.448047, Time  0.443679
2021-09-24 11:26:21.944637 : Epoch  6, Batch    242, Loss  1.452347, Average Loss  1.448189, Time  0.436963
2021-09-24 11:26:22.262612 : Epoch  6, Batch    192, Loss  1.443315, Average Loss  1.448075, Time  0.441420
2021-09-24 11:26:27.585023 : Epoch  6, Batch    243, Loss  1.446261, Average Loss  1.448233, Time  0.437449
2021-09-24 11:26:27.897190 : Epoch  6, Batch    193, Loss  1.447435, Average Loss  1.448120, Time  0.440949
2021-09-24 11:26:33.211951 : Epoch  6, Batch    244, Loss  1.447577, Average Loss  1.448208, Time  0.437109
2021-09-24 11:26:33.523527 : Epoch  6, Batch    194, Loss  1.448642, Average Loss  1.448177, Time  0.441821
2021-09-24 11:26:38.833735 : Epoch  6, Batch    245, Loss  1.449133, Average Loss  1.448166, Time  0.437630
2021-09-24 11:26:39.127356 : Epoch  6, Batch    195, Loss  1.446044, Average Loss  1.448241, Time  0.441369
2021-09-24 11:26:44.511497 : Epoch  6, Batch    246, Loss  1.448786, Average Loss  1.448105, Time  0.437791
2021-09-24 11:26:44.781056 : Epoch  6, Batch    196, Loss  1.447698, Average Loss  1.448221, Time  0.441461
2021-09-24 11:26:50.143690 : Epoch  6, Batch    247, Loss  1.439762, Average Loss  1.448067, Time  0.438014
2021-09-24 11:26:50.417469 : Epoch  6, Batch    197, Loss  1.444247, Average Loss  1.448191, Time  0.454685
2021-09-24 11:26:55.778563 : Epoch  6, Batch    248, Loss  1.454503, Average Loss  1.448130, Time  0.443403
2021-09-24 11:26:56.027099 : Epoch  6, Batch    198, Loss  1.447232, Average Loss  1.448151, Time  0.442924
2021-09-24 11:27:01.383519 : Epoch  6, Batch    249, Loss  1.450896, Average Loss  1.448132, Time  0.437835
2021-09-24 11:27:01.635873 : Epoch  6, Batch    199, Loss  1.449834, Average Loss  1.448134, Time  0.441833
2021-09-24 11:27:07.025428 : Epoch  6, Batch    250, Loss  1.447066, Average Loss  1.448166, Time  0.436769
2021-09-24 11:27:07.272158 : Epoch  6, Batch    200, Loss  1.444825, Average Loss  1.448173, Time  0.441905
2021-09-24 11:27:12.685137 : Epoch  6, Batch    251, Loss  1.458621, Average Loss  1.448243, Time  0.437959
2021-09-24 11:27:12.935155 : Epoch  6, Batch    201, Loss  1.456243, Average Loss  1.448224, Time  0.443496
2021-09-24 11:27:18.343108 : Epoch  6, Batch    252, Loss  1.461036, Average Loss  1.448347, Time  0.437249
2021-09-24 11:27:18.606070 : Epoch  6, Batch    202, Loss  1.452095, Average Loss  1.448259, Time  0.443485
2021-09-24 11:27:24.065147 : Epoch  6, Batch    253, Loss  1.444858, Average Loss  1.448284, Time  0.439809
2021-09-24 11:27:24.331624 : Epoch  6, Batch    203, Loss  1.431008, Average Loss  1.448179, Time  0.443905
2021-09-24 11:27:29.767370 : Epoch  6, Batch    254, Loss  1.452742, Average Loss  1.448301, Time  0.437390
2021-09-24 11:27:30.020735 : Epoch  6, Batch    204, Loss  1.446744, Average Loss  1.448162, Time  0.443344
2021-09-24 11:27:35.478519 : Epoch  6, Batch    255, Loss  1.448722, Average Loss  1.448318, Time  0.438971
2021-09-24 11:27:35.770147 : Epoch  6, Batch    205, Loss  1.449371, Average Loss  1.448179, Time  0.452925
2021-09-24 11:27:41.233931 : Epoch  6, Batch    256, Loss  1.457149, Average Loss  1.448353, Time  0.444663
2021-09-24 11:27:41.487791 : Epoch  6, Batch    206, Loss  1.459979, Average Loss  1.448202, Time  0.443221
2021-09-24 11:27:46.956538 : Epoch  6, Batch    257, Loss  1.449733, Average Loss  1.448410, Time  0.440332
2021-09-24 11:27:47.207054 : Epoch  6, Batch    207, Loss  1.441651, Average Loss  1.448163, Time  0.445583
2021-09-24 11:27:52.713254 : Epoch  6, Batch    258, Loss  1.443720, Average Loss  1.448428, Time  0.438421
2021-09-24 11:27:52.958648 : Epoch  6, Batch    208, Loss  1.446564, Average Loss  1.448129, Time  0.443184
2021-09-24 11:27:58.443704 : Epoch  6, Batch    259, Loss  1.443399, Average Loss  1.448480, Time  0.439005
2021-09-24 11:27:58.699623 : Epoch  6, Batch    209, Loss  1.451009, Average Loss  1.448122, Time  0.444962
2021-09-24 11:28:04.212414 : Epoch  6, Batch    260, Loss  1.442717, Average Loss  1.448371, Time  0.439073
2021-09-24 11:28:04.471168 : Epoch  6, Batch    210, Loss  1.460753, Average Loss  1.448186, Time  0.443036
2021-09-24 11:28:10.228195 : Epoch  6, Batch    211, Loss  1.454806, Average Loss  1.448197, Time  0.445654
2021-09-24 11:28:16.027117 : Epoch  6, Batch    212, Loss  1.456991, Average Loss  1.448245, Time  0.442965
2021-09-24 11:28:21.720328 : Epoch  6, Batch    213, Loss  1.456000, Average Loss  1.448302, Time  0.452906
2021-09-24 11:28:27.410109 : Epoch  6, Batch    214, Loss  1.438713, Average Loss  1.448211, Time  0.442865
2021-09-24 11:28:33.125189 : Epoch  6, Batch    215, Loss  1.429484, Average Loss  1.448097, Time  0.445270
2021-09-24 11:28:38.886203 : Epoch  6, Batch    216, Loss  1.446906, Average Loss  1.448112, Time  0.444009
2021-09-24 11:28:44.667008 : Epoch  6, Batch    217, Loss  1.449984, Average Loss  1.448092, Time  0.443527
2021-09-24 11:28:50.356571 : Epoch  6, Batch    218, Loss  1.459374, Average Loss  1.448145, Time  0.442556
2021-09-24 11:28:56.071798 : Epoch  6, Batch    219, Loss  1.450372, Average Loss  1.448212, Time  0.442516
2021-09-24 11:29:01.774379 : Epoch  6, Batch    220, Loss  1.454668, Average Loss  1.448344, Time  0.441970
2021-09-24 11:29:07.525723 : Epoch  6, Batch    221, Loss  1.445906, Average Loss  1.448376, Time  0.451284
2021-09-24 11:29:13.275829 : Epoch  6, Batch    222, Loss  1.440759, Average Loss  1.448388, Time  0.443168
2021-09-24 11:29:19.036552 : Epoch  6, Batch    223, Loss  1.434829, Average Loss  1.448363, Time  0.441929
2021-09-24 11:29:24.809579 : Epoch  6, Batch    224, Loss  1.448591, Average Loss  1.448387, Time  0.442803
2021-09-24 11:29:30.607506 : Epoch  6, Batch    225, Loss  1.459069, Average Loss  1.448419, Time  0.444792
2021-09-24 11:29:36.339092 : Epoch  6, Batch    226, Loss  1.448930, Average Loss  1.448428, Time  0.442705
2021-09-24 11:29:42.061935 : Epoch  6, Batch    227, Loss  1.444983, Average Loss  1.448426, Time  0.442452
2021-09-24 11:29:47.802430 : Epoch  6, Batch    228, Loss  1.448000, Average Loss  1.448425, Time  0.442215
2021-09-24 11:29:53.512719 : Epoch  6, Batch    229, Loss  1.432918, Average Loss  1.448349, Time  0.458680
2021-09-24 11:29:59.239627 : Epoch  6, Batch    230, Loss  1.446388, Average Loss  1.448322, Time  0.442990
2021-09-24 11:30:05.012386 : Epoch  6, Batch    231, Loss  1.455775, Average Loss  1.448263, Time  0.442769
2021-09-24 11:30:10.712037 : Epoch  6, Batch    232, Loss  1.449234, Average Loss  1.448246, Time  0.445172
2021-09-24 11:30:16.424831 : Epoch  6, Batch    233, Loss  1.438706, Average Loss  1.448135, Time  0.443193
2021-09-24 11:30:22.158949 : Epoch  6, Batch    234, Loss  1.444197, Average Loss  1.448087, Time  0.443845
2021-09-24 11:30:27.991888 : Epoch  6, Batch    235, Loss  1.453393, Average Loss  1.448101, Time  0.443658
2021-09-24 11:30:33.701154 : Epoch  6, Batch    236, Loss  1.456979, Average Loss  1.448113, Time  0.445194
2021-09-24 11:30:39.377736 : Epoch  6, Batch    237, Loss  1.450869, Average Loss  1.448158, Time  0.455273
2021-09-24 11:30:45.150032 : Epoch  6, Batch    238, Loss  1.462137, Average Loss  1.448200, Time  0.443605
2021-09-24 11:30:50.874813 : Epoch  6, Batch    239, Loss  1.460666, Average Loss  1.448163, Time  0.443173
2021-09-24 11:30:56.583709 : Epoch  6, Batch    240, Loss  1.454186, Average Loss  1.448217, Time  0.443188
2021-09-24 11:31:02.352958 : Epoch  6, Batch    241, Loss  1.451080, Average Loss  1.448169, Time  0.444259
2021-09-24 11:31:08.105015 : Epoch  6, Batch    242, Loss  1.455230, Average Loss  1.448196, Time  0.441575
2021-09-24 11:31:13.803744 : Epoch  6, Batch    243, Loss  1.446001, Average Loss  1.448191, Time  0.444608
2021-09-24 11:31:19.531964 : Epoch  6, Batch    244, Loss  1.445755, Average Loss  1.448158, Time  0.442482
2021-09-24 11:31:25.235671 : Epoch  6, Batch    245, Loss  1.442623, Average Loss  1.448102, Time  0.449255
2021-09-24 11:31:31.067402 : Epoch  6, Batch    246, Loss  1.446965, Average Loss  1.448087, Time  0.442010
2021-09-24 11:31:36.799304 : Epoch  6, Batch    247, Loss  1.450164, Average Loss  1.448159, Time  0.442667
2021-09-24 11:31:42.550803 : Epoch  6, Batch    248, Loss  1.457417, Average Loss  1.448240, Time  0.441267
2021-09-24 11:31:48.236397 : Epoch  6, Batch    249, Loss  1.455020, Average Loss  1.448317, Time  0.443922
2021-09-24 11:31:53.934102 : Epoch  6, Batch    250, Loss  1.439177, Average Loss  1.448254, Time  0.442467
2021-09-24 11:31:59.627693 : Epoch  6, Batch    251, Loss  1.439997, Average Loss  1.448223, Time  0.444398
2021-09-24 11:32:05.337210 : Epoch  6, Batch    252, Loss  1.452986, Average Loss  1.448279, Time  0.444248
2021-09-24 11:32:11.135401 : Epoch  6, Batch    253, Loss  1.441718, Average Loss  1.448273, Time  0.457347
2021-09-24 11:32:16.887020 : Epoch  6, Batch    254, Loss  1.457753, Average Loss  1.448270, Time  0.443155
2021-09-24 11:32:22.600663 : Epoch  6, Batch    255, Loss  1.443206, Average Loss  1.448285, Time  0.443833
2021-09-24 11:32:28.359092 : Epoch  6, Batch    256, Loss  1.453877, Average Loss  1.448373, Time  0.442723
2021-09-24 11:32:32.235275 : CheckPoint: Validation Loss  0.00024816, Best Loss  0.00024726
2021-09-24 11:32:34.046357 : Epoch  6, Batch    257, Loss  1.450137, Average Loss  1.448357, Time  0.443336
2021-09-24 11:32:37.924654 : Epoch  6, Batch    261, Loss  1.433684, Average Loss  1.448279, Time  0.438573
2021-09-24 11:32:39.751194 : Epoch  6, Batch    258, Loss  1.457602, Average Loss  1.448406, Time  0.441885
2021-09-24 11:32:43.683412 : Epoch  6, Batch    262, Loss  1.437544, Average Loss  1.448215, Time  0.437326
2021-09-24 11:32:45.583743 : Epoch  6, Batch    259, Loss  1.446536, Average Loss  1.448402, Time  0.443456
2021-09-24 11:32:49.473888 : Epoch  6, Batch    263, Loss  1.451191, Average Loss  1.448186, Time  0.438973
2021-09-24 11:32:51.451241 : Epoch  6, Batch    260, Loss  1.440665, Average Loss  1.448364, Time  0.444669
2021-09-24 11:32:55.277361 : Epoch  6, Batch    264, Loss  1.438062, Average Loss  1.448131, Time  0.440293
2021-09-24 11:33:01.001136 : Epoch  6, Batch    265, Loss  1.453461, Average Loss  1.448155, Time  0.439283
2021-09-24 11:33:06.799103 : Epoch  6, Batch    266, Loss  1.440878, Average Loss  1.448120, Time  0.440551
2021-09-24 11:33:12.572325 : Epoch  6, Batch    267, Loss  1.442112, Average Loss  1.448084, Time  0.450602
2021-09-24 11:33:18.274893 : Epoch  6, Batch    268, Loss  1.453866, Average Loss  1.448102, Time  0.439151
2021-09-24 11:33:23.999802 : Epoch  6, Batch    269, Loss  1.446389, Average Loss  1.448058, Time  0.438178
2021-09-24 11:33:29.672270 : Epoch  6, Batch    270, Loss  1.449067, Average Loss  1.448058, Time  0.438056
2021-09-24 11:33:35.385156 : Epoch  6, Batch    271, Loss  1.441102, Average Loss  1.447986, Time  0.439264
2021-09-24 11:33:41.055127 : Epoch  6, Batch    272, Loss  1.434986, Average Loss  1.447877, Time  0.438763
2021-09-24 11:33:46.798518 : Epoch  6, Batch    273, Loss  1.443457, Average Loss  1.447862, Time  0.440063
2021-09-24 11:33:52.532448 : Epoch  6, Batch    274, Loss  1.444601, Average Loss  1.447803, Time  0.439008
2021-09-24 11:33:58.308928 : Epoch  6, Batch    275, Loss  1.447057, Average Loss  1.447764, Time  0.451915
2021-09-24 11:34:03.971166 : Epoch  6, Batch    276, Loss  1.446620, Average Loss  1.447726, Time  0.440397
2021-09-24 11:34:09.761671 : Epoch  6, Batch    277, Loss  1.447813, Average Loss  1.447649, Time  0.440368
2021-09-24 11:34:15.433573 : Epoch  6, Batch    278, Loss  1.455604, Average Loss  1.447699, Time  0.438102
2021-09-24 11:34:21.122529 : Epoch  6, Batch    279, Loss  1.448697, Average Loss  1.447729, Time  0.438861
2021-09-24 11:34:26.826358 : Epoch  6, Batch    280, Loss  1.436404, Average Loss  1.447714, Time  0.437642
2021-09-24 11:34:32.593366 : Epoch  6, Batch    281, Loss  1.443983, Average Loss  1.447619, Time  0.439629
2021-09-24 11:34:38.345954 : Epoch  6, Batch    282, Loss  1.441735, Average Loss  1.447647, Time  0.437855
2021-09-24 11:34:44.112512 : Epoch  6, Batch    283, Loss  1.444012, Average Loss  1.447597, Time  0.451610
2021-09-24 11:34:49.798845 : Epoch  6, Batch    284, Loss  1.453930, Average Loss  1.447627, Time  0.437564
2021-09-24 11:34:55.482774 : Epoch  6, Batch    285, Loss  1.448046, Average Loss  1.447593, Time  0.437947
2021-09-24 11:35:01.170677 : Epoch  6, Batch    286, Loss  1.439789, Average Loss  1.447523, Time  0.438507
2021-09-24 11:35:06.880995 : Epoch  6, Batch    287, Loss  1.443067, Average Loss  1.447580, Time  0.439004
2021-09-24 11:35:12.574515 : Epoch  6, Batch    288, Loss  1.436197, Average Loss  1.447538, Time  0.438136
2021-09-24 11:35:18.280111 : Epoch  6, Batch    289, Loss  1.445645, Average Loss  1.447577, Time  0.439274
2021-09-24 11:35:24.045246 : Epoch  6, Batch    290, Loss  1.438633, Average Loss  1.447554, Time  0.438253
2021-09-24 11:35:29.758599 : Epoch  6, Batch    291, Loss  1.452280, Average Loss  1.447514, Time  0.452311
2021-09-24 11:35:35.486400 : Epoch  6, Batch    292, Loss  1.440338, Average Loss  1.447506, Time  0.438461
2021-09-24 11:35:41.208790 : Epoch  6, Batch    293, Loss  1.453380, Average Loss  1.447499, Time  0.439503
2021-09-24 11:35:46.933374 : Epoch  6, Batch    294, Loss  1.442861, Average Loss  1.447549, Time  0.438487
2021-09-24 11:35:52.658498 : Epoch  6, Batch    295, Loss  1.463626, Average Loss  1.447602, Time  0.437598
2021-09-24 11:35:58.418939 : Epoch  6, Batch    296, Loss  1.451473, Average Loss  1.447544, Time  0.438742
2021-09-24 11:36:04.153949 : Epoch  6, Batch    297, Loss  1.441528, Average Loss  1.447573, Time  0.437857
2021-09-24 11:36:09.894944 : Epoch  6, Batch    298, Loss  1.459362, Average Loss  1.447667, Time  0.439061
2021-09-24 11:36:15.573631 : Epoch  6, Batch    299, Loss  1.451512, Average Loss  1.447664, Time  0.452271
2021-09-24 11:36:21.319667 : Epoch  6, Batch    300, Loss  1.449412, Average Loss  1.447722, Time  0.437993
2021-09-24 11:36:27.021182 : Epoch  6, Batch    301, Loss  1.455523, Average Loss  1.447696, Time  0.436952
2021-09-24 11:36:32.721893 : Epoch  6, Batch    302, Loss  1.428838, Average Loss  1.447514, Time  0.440080
2021-09-24 11:36:38.419480 : Epoch  6, Batch    303, Loss  1.451476, Average Loss  1.447525, Time  0.437443
2021-09-24 11:36:44.215807 : Epoch  6, Batch    304, Loss  1.448986, Average Loss  1.447525, Time  0.438963
2021-09-24 11:36:50.040802 : Epoch  6, Batch    305, Loss  1.443926, Average Loss  1.447470, Time  0.439271
2021-09-24 11:36:55.756977 : Epoch  6, Batch    306, Loss  1.453476, Average Loss  1.447452, Time  0.438510
2021-09-24 11:37:01.531565 : Epoch  6, Batch    307, Loss  1.454810, Average Loss  1.447475, Time  0.450717
2021-09-24 11:37:07.244214 : Epoch  6, Batch    308, Loss  1.452291, Average Loss  1.447414, Time  0.437767
2021-09-24 11:37:12.915485 : Epoch  6, Batch    309, Loss  1.445466, Average Loss  1.447378, Time  0.437665
2021-09-24 11:37:18.665737 : Epoch  6, Batch    310, Loss  1.451203, Average Loss  1.447323, Time  0.437903
2021-09-24 11:37:20.186871 : CheckPoint: Validation Loss  0.00025291, Best Loss  0.00024587
2021-09-24 11:37:24.412682 : Epoch  6, Batch    311, Loss  1.454979, Average Loss  1.447341, Time  0.436852
2021-09-24 11:37:25.885035 : Epoch  6, Batch    261, Loss  1.440342, Average Loss  1.448302, Time  0.441447
2021-09-24 11:37:30.134047 : Epoch  6, Batch    312, Loss  1.451327, Average Loss  1.447384, Time  0.437646
2021-09-24 11:37:31.628599 : Epoch  6, Batch    262, Loss  1.451661, Average Loss  1.448348, Time  0.442836
2021-09-24 11:37:35.800494 : Epoch  6, Batch    313, Loss  1.443068, Average Loss  1.447327, Time  0.439707
2021-09-24 11:37:37.315291 : Epoch  6, Batch    263, Loss  1.441946, Average Loss  1.448291, Time  0.443461
2021-09-24 11:37:41.586758 : Epoch  6, Batch    314, Loss  1.444504, Average Loss  1.447280, Time  0.439722
2021-09-24 11:37:43.158069 : Epoch  6, Batch    264, Loss  1.454169, Average Loss  1.448348, Time  0.459321
2021-09-24 11:37:47.349775 : Epoch  6, Batch    315, Loss  1.443985, Average Loss  1.447266, Time  0.448104
2021-09-24 11:37:48.886878 : Epoch  6, Batch    265, Loss  1.446962, Average Loss  1.448366, Time  0.443808
2021-09-24 11:37:53.068710 : Epoch  6, Batch    316, Loss  1.425443, Average Loss  1.447161, Time  0.438400
2021-09-24 11:37:54.629049 : Epoch  6, Batch    266, Loss  1.450117, Average Loss  1.448377, Time  0.443676
2021-09-24 11:37:58.810678 : Epoch  6, Batch    317, Loss  1.442567, Average Loss  1.447130, Time  0.438394
2021-09-24 11:38:00.353903 : Epoch  6, Batch    267, Loss  1.454148, Average Loss  1.448435, Time  0.442608
2021-09-24 11:38:04.460893 : Epoch  6, Batch    318, Loss  1.449208, Average Loss  1.447126, Time  0.437901
2021-09-24 11:38:06.030801 : Epoch  6, Batch    268, Loss  1.442095, Average Loss  1.448385, Time  0.442222
2021-09-24 11:38:10.167892 : Epoch  6, Batch    319, Loss  1.446675, Average Loss  1.447132, Time  0.438603
2021-09-24 11:38:11.754905 : Epoch  6, Batch    269, Loss  1.441033, Average Loss  1.448327, Time  0.443013
2021-09-24 11:38:15.865967 : Epoch  6, Batch    320, Loss  1.457039, Average Loss  1.447118, Time  0.438335
2021-09-24 11:38:17.455036 : Epoch  6, Batch    270, Loss  1.450033, Average Loss  1.448344, Time  0.443878
2021-09-24 11:38:21.552855 : Epoch  6, Batch    321, Loss  1.460137, Average Loss  1.447217, Time  0.437391
2021-09-24 11:38:23.143207 : Epoch  6, Batch    271, Loss  1.452045, Average Loss  1.448329, Time  0.443371
2021-09-24 11:38:27.270528 : Epoch  6, Batch    322, Loss  1.456655, Average Loss  1.447196, Time  0.438954
2021-09-24 11:38:28.883106 : Epoch  6, Batch    272, Loss  1.450137, Average Loss  1.448402, Time  0.450128
2021-09-24 11:38:32.997978 : Epoch  6, Batch    323, Loss  1.447823, Average Loss  1.447243, Time  0.445859
2021-09-24 11:38:34.595449 : Epoch  6, Batch    273, Loss  1.441339, Average Loss  1.448398, Time  0.442593
2021-09-24 11:38:38.685409 : Epoch  6, Batch    324, Loss  1.453108, Average Loss  1.447235, Time  0.437911
2021-09-24 11:38:40.301983 : Epoch  6, Batch    274, Loss  1.443797, Average Loss  1.448437, Time  0.443054
2021-09-24 11:38:44.376466 : Epoch  6, Batch    325, Loss  1.437497, Average Loss  1.447165, Time  0.439396
2021-09-24 11:38:46.022600 : Epoch  6, Batch    275, Loss  1.447249, Average Loss  1.448472, Time  0.442708
2021-09-24 11:38:50.086510 : Epoch  6, Batch    326, Loss  1.457174, Average Loss  1.447204, Time  0.437447
2021-09-24 11:38:51.739427 : Epoch  6, Batch    276, Loss  1.436483, Average Loss  1.448416, Time  0.442336
2021-09-24 11:38:55.790418 : Epoch  6, Batch    327, Loss  1.442958, Average Loss  1.447216, Time  0.438551
2021-09-24 11:38:57.453039 : Epoch  6, Batch    277, Loss  1.442423, Average Loss  1.448474, Time  0.441919
2021-09-24 11:39:01.482385 : Epoch  6, Batch    328, Loss  1.430725, Average Loss  1.447119, Time  0.438879
2021-09-24 11:39:03.187396 : Epoch  6, Batch    278, Loss  1.443891, Average Loss  1.448545, Time  0.443035
2021-09-24 11:39:07.219938 : Epoch  6, Batch    329, Loss  1.451671, Average Loss  1.447170, Time  0.438553
2021-09-24 11:39:08.940637 : Epoch  6, Batch    279, Loss  1.437808, Average Loss  1.448420, Time  0.443543
2021-09-24 11:39:12.955270 : Epoch  6, Batch    330, Loss  1.459758, Average Loss  1.447164, Time  0.438509
2021-09-24 11:39:14.671369 : Epoch  6, Batch    280, Loss  1.458622, Average Loss  1.448481, Time  0.451098
2021-09-24 11:39:18.595470 : Epoch  6, Batch    331, Loss  1.451461, Average Loss  1.447228, Time  0.448652
2021-09-24 11:39:20.353645 : Epoch  6, Batch    281, Loss  1.448866, Average Loss  1.448472, Time  0.442199
2021-09-24 11:39:24.323752 : Epoch  6, Batch    332, Loss  1.439492, Average Loss  1.447245, Time  0.437435
2021-09-24 11:39:26.092165 : Epoch  6, Batch    282, Loss  1.450596, Average Loss  1.448512, Time  0.444718
2021-09-24 11:39:30.134624 : Epoch  6, Batch    333, Loss  1.439455, Average Loss  1.447218, Time  0.438468
2021-09-24 11:39:31.936602 : Epoch  6, Batch    283, Loss  1.454704, Average Loss  1.448527, Time  0.443102
2021-09-24 11:39:35.854647 : Epoch  6, Batch    334, Loss  1.450006, Average Loss  1.447268, Time  0.440600
2021-09-24 11:39:37.690113 : Epoch  6, Batch    284, Loss  1.440140, Average Loss  1.448507, Time  0.443360
2021-09-24 11:39:41.601771 : Epoch  6, Batch    335, Loss  1.462734, Average Loss  1.447314, Time  0.438938
2021-09-24 11:39:43.430812 : Epoch  6, Batch    285, Loss  1.447242, Average Loss  1.448520, Time  0.444479
2021-09-24 11:39:47.324821 : Epoch  6, Batch    336, Loss  1.450867, Average Loss  1.447251, Time  0.436883
2021-09-24 11:39:49.158968 : Epoch  6, Batch    286, Loss  1.430512, Average Loss  1.448436, Time  0.443946
2021-09-24 11:39:53.109462 : Epoch  6, Batch    337, Loss  1.452189, Average Loss  1.447289, Time  0.437650
2021-09-24 11:39:54.880132 : Epoch  6, Batch    287, Loss  1.449657, Average Loss  1.448482, Time  0.443092
2021-09-24 11:39:58.844544 : Epoch  6, Batch    338, Loss  1.459545, Average Loss  1.447415, Time  0.438326
2021-09-24 11:40:00.669444 : Epoch  6, Batch    288, Loss  1.439098, Average Loss  1.448387, Time  0.454495
2021-09-24 11:40:04.659862 : Epoch  6, Batch    339, Loss  1.446518, Average Loss  1.447320, Time  0.454296
2021-09-24 11:40:06.532648 : Epoch  6, Batch    289, Loss  1.436900, Average Loss  1.448322, Time  0.444297
2021-09-24 11:40:10.472963 : Epoch  6, Batch    340, Loss  1.449898, Average Loss  1.447307, Time  0.439178
2021-09-24 11:40:12.353597 : Epoch  6, Batch    290, Loss  1.435005, Average Loss  1.448278, Time  0.444437
2021-09-24 11:40:16.271269 : Epoch  6, Batch    341, Loss  1.441946, Average Loss  1.447314, Time  0.438481
2021-09-24 11:40:18.115521 : Epoch  6, Batch    291, Loss  1.440214, Average Loss  1.448293, Time  0.441791
2021-09-24 11:40:21.951361 : Epoch  6, Batch    342, Loss  1.444592, Average Loss  1.447293, Time  0.437706
2021-09-24 11:40:23.787890 : Epoch  6, Batch    292, Loss  1.443858, Average Loss  1.448261, Time  0.441901
2021-09-24 11:40:27.625921 : Epoch  6, Batch    343, Loss  1.455901, Average Loss  1.447333, Time  0.439388
2021-09-24 11:40:29.558894 : Epoch  6, Batch    293, Loss  1.442622, Average Loss  1.448223, Time  0.443563
2021-09-24 11:40:33.432610 : Epoch  6, Batch    344, Loss  1.454314, Average Loss  1.447413, Time  0.439508
2021-09-24 11:40:35.320078 : Epoch  6, Batch    294, Loss  1.453955, Average Loss  1.448292, Time  0.441758
2021-09-24 11:40:39.147711 : Epoch  6, Batch    345, Loss  1.443210, Average Loss  1.447370, Time  0.438082
2021-09-24 11:40:41.071897 : Epoch  6, Batch    295, Loss  1.455084, Average Loss  1.448326, Time  0.442520
2021-09-24 11:40:44.868999 : Epoch  6, Batch    346, Loss  1.428810, Average Loss  1.447297, Time  0.437396
2021-09-24 11:40:46.828067 : Epoch  6, Batch    296, Loss  1.439372, Average Loss  1.448306, Time  0.457988
2021-09-24 11:40:50.574796 : Epoch  6, Batch    347, Loss  1.439765, Average Loss  1.447291, Time  0.454191
2021-09-24 11:40:52.522555 : Epoch  6, Batch    297, Loss  1.454389, Average Loss  1.448394, Time  0.442460
2021-09-24 11:40:56.322810 : Epoch  6, Batch    348, Loss  1.450782, Average Loss  1.447374, Time  0.440194
2021-09-24 11:40:58.383699 : Epoch  6, Batch    298, Loss  1.444811, Average Loss  1.448402, Time  0.443999
2021-09-24 11:41:02.126641 : Epoch  6, Batch    349, Loss  1.439628, Average Loss  1.447391, Time  0.439545
2021-09-24 11:41:04.137533 : Epoch  6, Batch    299, Loss  1.446208, Average Loss  1.448380, Time  0.443061
2021-09-24 11:41:07.846845 : Epoch  6, Batch    350, Loss  1.454311, Average Loss  1.447434, Time  0.438900
2021-09-24 11:41:09.888399 : Epoch  6, Batch    300, Loss  1.450829, Average Loss  1.448370, Time  0.443458
2021-09-24 11:41:13.599276 : Epoch  6, Batch    351, Loss  1.442825, Average Loss  1.447424, Time  0.439786
2021-09-24 11:41:15.702259 : Epoch  6, Batch    301, Loss  1.445033, Average Loss  1.448369, Time  0.442998
2021-09-24 11:41:19.321374 : Epoch  6, Batch    352, Loss  1.444727, Average Loss  1.447381, Time  0.438155
2021-09-24 11:41:21.400998 : Epoch  6, Batch    302, Loss  1.448755, Average Loss  1.448359, Time  0.443198
2021-09-24 11:41:25.127165 : Epoch  6, Batch    353, Loss  1.458547, Average Loss  1.447446, Time  0.439997
2021-09-24 11:41:27.296146 : Epoch  6, Batch    303, Loss  1.430416, Average Loss  1.448247, Time  0.447010
2021-09-24 11:41:30.996778 : Epoch  6, Batch    354, Loss  1.446369, Average Loss  1.447372, Time  0.440315
2021-09-24 11:41:33.325005 : Epoch  6, Batch    304, Loss  1.456071, Average Loss  1.448226, Time  0.458192
2021-09-24 11:41:36.785985 : Epoch  6, Batch    355, Loss  1.447179, Average Loss  1.447370, Time  0.451542
2021-09-24 11:41:39.141701 : Epoch  6, Batch    305, Loss  1.436969, Average Loss  1.448227, Time  0.443398
2021-09-24 11:41:42.545251 : Epoch  6, Batch    356, Loss  1.451300, Average Loss  1.447427, Time  0.438351
2021-09-24 11:41:45.039996 : Epoch  6, Batch    306, Loss  1.441258, Average Loss  1.448192, Time  0.444599
2021-09-24 11:41:48.256832 : Epoch  6, Batch    357, Loss  1.447863, Average Loss  1.447415, Time  0.438959
2021-09-24 11:41:50.780032 : Epoch  6, Batch    307, Loss  1.455590, Average Loss  1.448248, Time  0.446677
2021-09-24 11:41:53.984483 : Epoch  6, Batch    358, Loss  1.444061, Average Loss  1.447397, Time  0.437196
2021-09-24 11:41:56.562541 : Epoch  6, Batch    308, Loss  1.440865, Average Loss  1.448191, Time  0.443844
2021-09-24 11:41:59.680018 : Epoch  6, Batch    359, Loss  1.451908, Average Loss  1.447390, Time  0.438495
2021-09-24 11:42:02.314260 : Epoch  6, Batch    309, Loss  1.456287, Average Loss  1.448239, Time  0.445350
2021-09-24 11:42:08.070877 : Epoch  6, Batch    310, Loss  1.445317, Average Loss  1.448236, Time  0.445591
2021-09-24 11:42:11.042974 : Epoch  6, Batch    360, Loss  1.443482, Average Loss  1.447375, Time  0.440676
2021-09-24 11:42:13.817638 : Epoch  6, Batch    311, Loss  1.451353, Average Loss  1.448252, Time  0.445043
2021-09-24 11:42:19.665891 : Epoch  6, Batch    312, Loss  1.441921, Average Loss  1.448187, Time  0.455410
2021-09-24 11:42:25.443759 : Epoch  6, Batch    313, Loss  1.436973, Average Loss  1.448110, Time  0.443278
2021-09-24 11:42:31.167033 : Epoch  6, Batch    314, Loss  1.462825, Average Loss  1.448183, Time  0.444227
2021-09-24 11:42:36.944805 : Epoch  6, Batch    315, Loss  1.432904, Average Loss  1.448088, Time  0.442440
2021-09-24 11:42:42.673111 : Epoch  6, Batch    316, Loss  1.448901, Average Loss  1.448138, Time  0.445031
2021-09-24 11:42:48.457261 : Epoch  6, Batch    317, Loss  1.446229, Average Loss  1.448134, Time  0.442205
2021-09-24 11:42:54.175888 : Epoch  6, Batch    318, Loss  1.443172, Average Loss  1.448063, Time  0.442724
2021-09-24 11:42:59.902182 : Epoch  6, Batch    319, Loss  1.448857, Average Loss  1.448051, Time  0.443281
2021-09-24 11:43:05.664797 : Epoch  6, Batch    320, Loss  1.449761, Average Loss  1.448038, Time  0.455121
2021-09-24 11:43:11.480430 : Epoch  6, Batch    321, Loss  1.449717, Average Loss  1.448015, Time  0.444749
2021-09-24 11:43:17.255254 : Epoch  6, Batch    322, Loss  1.459597, Average Loss  1.448075, Time  0.443111
2021-09-24 11:43:23.124575 : Epoch  6, Batch    323, Loss  1.445309, Average Loss  1.448071, Time  0.444257
2021-09-24 11:43:28.870278 : Epoch  6, Batch    324, Loss  1.441960, Average Loss  1.448075, Time  0.444608
2021-09-24 11:43:34.727109 : Epoch  6, Batch    325, Loss  1.452654, Average Loss  1.448095, Time  0.443723
2021-09-24 11:43:40.545073 : Epoch  6, Batch    326, Loss  1.452702, Average Loss  1.448154, Time  0.442440
2021-09-24 11:43:46.262425 : Epoch  6, Batch    327, Loss  1.448408, Average Loss  1.448127, Time  0.444671
2021-09-24 11:43:52.049997 : Epoch  6, Batch    328, Loss  1.461379, Average Loss  1.448194, Time  0.455911
2021-09-24 11:43:57.791744 : Epoch  6, Batch    329, Loss  1.440156, Average Loss  1.448133, Time  0.445962
2021-09-24 11:44:03.545135 : Epoch  6, Batch    330, Loss  1.442129, Average Loss  1.448104, Time  0.442430
2021-09-24 11:44:09.203065 : Epoch  6, Batch    331, Loss  1.444653, Average Loss  1.448059, Time  0.442538
2021-09-24 11:44:14.931653 : Epoch  6, Batch    332, Loss  1.437353, Average Loss  1.447941, Time  0.443224
2021-09-24 11:44:20.623805 : Epoch  6, Batch    333, Loss  1.430246, Average Loss  1.447851, Time  0.443204
2021-09-24 11:44:26.346769 : Epoch  6, Batch    334, Loss  1.462031, Average Loss  1.447909, Time  0.443886
2021-09-24 11:44:32.053320 : Epoch  6, Batch    335, Loss  1.442404, Average Loss  1.447881, Time  0.443756
2021-09-24 11:44:37.828239 : Epoch  6, Batch    336, Loss  1.447518, Average Loss  1.447904, Time  0.455109
2021-09-24 11:44:43.498968 : Epoch  6, Batch    337, Loss  1.441938, Average Loss  1.447885, Time  0.444055
2021-09-24 11:44:49.210524 : Epoch  6, Batch    338, Loss  1.453326, Average Loss  1.447901, Time  0.444190
2021-09-24 11:44:55.079424 : Epoch  6, Batch    339, Loss  1.450972, Average Loss  1.447900, Time  0.445121
2021-09-24 11:45:00.741427 : Epoch  6, Batch    340, Loss  1.466570, Average Loss  1.448003, Time  0.444348
2021-09-24 11:45:06.531157 : Epoch  6, Batch    341, Loss  1.454922, Average Loss  1.448044, Time  0.445017
2021-09-24 11:45:12.300694 : Epoch  6, Batch    342, Loss  1.439367, Average Loss  1.447992, Time  0.443231
2021-09-24 11:45:18.047702 : Epoch  6, Batch    343, Loss  1.447695, Average Loss  1.447970, Time  0.442662
2021-09-24 11:45:23.839823 : Epoch  6, Batch    344, Loss  1.438108, Average Loss  1.447985, Time  0.456223
2021-09-24 11:45:29.604300 : Epoch  6, Batch    345, Loss  1.439516, Average Loss  1.447964, Time  0.442793
2021-09-24 11:45:35.445919 : Epoch  6, Batch    346, Loss  1.449762, Average Loss  1.447944, Time  0.443148
2021-09-24 11:45:41.203283 : Epoch  6, Batch    347, Loss  1.454961, Average Loss  1.448008, Time  0.442665
2021-09-24 11:45:46.935375 : Epoch  6, Batch    348, Loss  1.435620, Average Loss  1.447918, Time  0.444829
2021-09-24 11:45:52.695982 : Epoch  6, Batch    349, Loss  1.446841, Average Loss  1.447844, Time  0.449282
2021-09-24 11:45:58.530532 : Epoch  6, Batch    350, Loss  1.445516, Average Loss  1.447779, Time  0.443276
2021-09-24 11:46:04.282746 : Epoch  6, Batch    351, Loss  1.447970, Average Loss  1.447749, Time  0.445297
2021-09-24 11:46:10.075105 : Epoch  6, Batch    352, Loss  1.446591, Average Loss  1.447769, Time  0.458852
2021-09-24 11:46:15.836913 : Epoch  6, Batch    353, Loss  1.439819, Average Loss  1.447711, Time  0.442647
2021-09-24 11:46:21.593581 : Epoch  6, Batch    354, Loss  1.446673, Average Loss  1.447631, Time  0.443233
2021-09-24 11:46:27.428548 : Epoch  6, Batch    355, Loss  1.460999, Average Loss  1.447740, Time  0.444529
2021-09-24 11:46:33.226985 : Epoch  6, Batch    356, Loss  1.450306, Average Loss  1.447746, Time  0.443984
2021-09-24 11:46:39.046062 : Epoch  6, Batch    357, Loss  1.450913, Average Loss  1.447801, Time  0.442831
2021-09-24 11:46:40.151348 : CheckPoint: Validation Loss  0.00025552, Best Loss  0.00024726
2021-09-24 11:46:44.746360 : Epoch  6, Batch    358, Loss  1.451711, Average Loss  1.447853, Time  0.444261
2021-09-24 11:46:45.872382 : Epoch  6, Batch    361, Loss  1.460106, Average Loss  1.447427, Time  0.438153
2021-09-24 11:46:50.482635 : Epoch  6, Batch    359, Loss  1.451409, Average Loss  1.447918, Time  0.443609
2021-09-24 11:46:51.535329 : Epoch  6, Batch    362, Loss  1.465329, Average Loss  1.447520, Time  0.436985
2021-09-24 11:46:57.270290 : Epoch  6, Batch    363, Loss  1.451466, Average Loss  1.447577, Time  0.443174
2021-09-24 11:47:01.861417 : Epoch  6, Batch    360, Loss  1.444362, Average Loss  1.447899, Time  0.457838
2021-09-24 11:47:02.978414 : Epoch  6, Batch    364, Loss  1.446772, Average Loss  1.447512, Time  0.439973
2021-09-24 11:47:08.697939 : Epoch  6, Batch    365, Loss  1.441359, Average Loss  1.447459, Time  0.439236
2021-09-24 11:47:14.418405 : Epoch  6, Batch    366, Loss  1.447785, Average Loss  1.447464, Time  0.446725
2021-09-24 11:47:20.137898 : Epoch  6, Batch    367, Loss  1.454743, Average Loss  1.447501, Time  0.437876
2021-09-24 11:47:25.839255 : Epoch  6, Batch    368, Loss  1.444652, Average Loss  1.447518, Time  0.438687
2021-09-24 11:47:31.499079 : Epoch  6, Batch    369, Loss  1.451850, Average Loss  1.447535, Time  0.437994
2021-09-24 11:47:37.158766 : Epoch  6, Batch    370, Loss  1.450641, Average Loss  1.447600, Time  0.437979
2021-09-24 11:47:42.852151 : Epoch  6, Batch    371, Loss  1.446685, Average Loss  1.447584, Time  0.439811
2021-09-24 11:47:48.636692 : Epoch  6, Batch    372, Loss  1.445354, Average Loss  1.447583, Time  0.438504
2021-09-24 11:47:54.341810 : Epoch  6, Batch    373, Loss  1.438544, Average Loss  1.447454, Time  0.438008
2021-09-24 11:48:00.043646 : Epoch  6, Batch    374, Loss  1.445319, Average Loss  1.447481, Time  0.446482
2021-09-24 11:48:05.799358 : Epoch  6, Batch    375, Loss  1.448203, Average Loss  1.447483, Time  0.438090
2021-09-24 11:48:11.544277 : Epoch  6, Batch    376, Loss  1.455410, Average Loss  1.447552, Time  0.438445
2021-09-24 11:48:17.265295 : Epoch  6, Batch    377, Loss  1.439492, Average Loss  1.447438, Time  0.437922
2021-09-24 11:48:23.006771 : Epoch  6, Batch    378, Loss  1.443936, Average Loss  1.447441, Time  0.438454
2021-09-24 11:48:28.738833 : Epoch  6, Batch    379, Loss  1.458525, Average Loss  1.447466, Time  0.438256
2021-09-24 11:48:34.485349 : Epoch  6, Batch    380, Loss  1.458019, Average Loss  1.447547, Time  0.438360
2021-09-24 11:48:40.246560 : Epoch  6, Batch    381, Loss  1.453553, Average Loss  1.447609, Time  0.437534
2021-09-24 11:48:46.052712 : Epoch  6, Batch    382, Loss  1.443738, Average Loss  1.447601, Time  0.453680
2021-09-24 11:48:51.958081 : Epoch  6, Batch    383, Loss  1.456623, Average Loss  1.447673, Time  0.440298
2021-09-24 11:48:57.857916 : Epoch  6, Batch    384, Loss  1.443103, Average Loss  1.447663, Time  0.438549
2021-09-24 11:49:03.768346 : Epoch  6, Batch    385, Loss  1.440568, Average Loss  1.447595, Time  0.437680
2021-09-24 11:49:09.666043 : Epoch  6, Batch    386, Loss  1.449079, Average Loss  1.447486, Time  0.438234
2021-09-24 11:49:15.570002 : Epoch  6, Batch    387, Loss  1.455271, Average Loss  1.447514, Time  0.438336
2021-09-24 11:49:21.452678 : Epoch  6, Batch    388, Loss  1.448010, Average Loss  1.447468, Time  0.438509
2021-09-24 11:49:27.343153 : Epoch  6, Batch    389, Loss  1.445958, Average Loss  1.447383, Time  0.438801
2021-09-24 11:49:33.258841 : Epoch  6, Batch    390, Loss  1.443886, Average Loss  1.447372, Time  0.448690
2021-09-24 11:49:39.163820 : Epoch  6, Batch    391, Loss  1.453360, Average Loss  1.447371, Time  0.439272
2021-09-24 11:49:44.827192 : Epoch  6, Batch    392, Loss  1.459581, Average Loss  1.447491, Time  0.437224
2021-09-24 11:49:50.462983 : Epoch  6, Batch    393, Loss  1.445933, Average Loss  1.447474, Time  0.438451
2021-09-24 11:49:56.047639 : Epoch  6, Batch    394, Loss  1.450298, Average Loss  1.447449, Time  0.436616
2021-09-24 11:50:01.772972 : Epoch  6, Batch    395, Loss  1.454755, Average Loss  1.447529, Time  0.437011
2021-09-24 11:50:07.461217 : Epoch  6, Batch    396, Loss  1.444452, Average Loss  1.447529, Time  0.437067
2021-09-24 11:50:13.127095 : Epoch  6, Batch    397, Loss  1.433403, Average Loss  1.447516, Time  0.436989
2021-09-24 11:50:18.804235 : Epoch  6, Batch    398, Loss  1.447101, Average Loss  1.447551, Time  0.455519
2021-09-24 11:50:24.502700 : Epoch  6, Batch    399, Loss  1.448454, Average Loss  1.447553, Time  0.437109
2021-09-24 11:50:30.077069 : Epoch  6, Batch    400, Loss  1.455599, Average Loss  1.447594, Time  0.438168
2021-09-24 11:50:35.726506 : Epoch  6, Batch    401, Loss  1.465525, Average Loss  1.447736, Time  0.438698
2021-09-24 11:50:41.485842 : Epoch  6, Batch    402, Loss  1.448765, Average Loss  1.447724, Time  0.437903
2021-09-24 11:50:47.303392 : Epoch  6, Batch    403, Loss  1.444204, Average Loss  1.447703, Time  0.440582
2021-09-24 11:50:52.985244 : Epoch  6, Batch    404, Loss  1.434457, Average Loss  1.447659, Time  0.436724
2021-09-24 11:50:58.627901 : Epoch  6, Batch    405, Loss  1.453326, Average Loss  1.447714, Time  0.437710
2021-09-24 11:51:04.298036 : Epoch  6, Batch    406, Loss  1.452637, Average Loss  1.447727, Time  0.450475
2021-09-24 11:51:09.923716 : Epoch  6, Batch    407, Loss  1.458320, Average Loss  1.447803, Time  0.437231
2021-09-24 11:51:15.557107 : Epoch  6, Batch    408, Loss  1.450823, Average Loss  1.447864, Time  0.437763
2021-09-24 11:51:21.157045 : Epoch  6, Batch    409, Loss  1.457958, Average Loss  1.447911, Time  0.437272
2021-09-24 11:51:26.776955 : Epoch  6, Batch    410, Loss  1.450587, Average Loss  1.447983, Time  0.437492
2021-09-24 11:51:31.398890 : CheckPoint: Validation Loss  0.00025160, Best Loss  0.00024587
2021-09-24 11:51:32.374768 : Epoch  6, Batch    411, Loss  1.442151, Average Loss  1.447883, Time  0.437016
2021-09-24 11:51:37.073441 : Epoch  6, Batch    361, Loss  1.451534, Average Loss  1.447915, Time  0.454686
2021-09-24 11:51:38.076662 : Epoch  6, Batch    412, Loss  1.448515, Average Loss  1.447926, Time  0.439099
2021-09-24 11:51:43.025378 : Epoch  6, Batch    362, Loss  1.451412, Average Loss  1.447928, Time  0.445811
2021-09-24 11:51:43.991449 : Epoch  6, Batch    413, Loss  1.459780, Average Loss  1.448047, Time  0.438177
2021-09-24 11:51:48.956940 : Epoch  6, Batch    363, Loss  1.446648, Average Loss  1.447945, Time  0.447494
2021-09-24 11:51:49.935193 : Epoch  6, Batch    414, Loss  1.454925, Average Loss  1.448149, Time  0.451086
2021-09-24 11:51:54.903663 : Epoch  6, Batch    364, Loss  1.451842, Average Loss  1.447948, Time  0.444381
2021-09-24 11:51:55.868083 : Epoch  6, Batch    415, Loss  1.441640, Average Loss  1.448096, Time  0.440235
2021-09-24 11:52:00.852660 : Epoch  6, Batch    365, Loss  1.434038, Average Loss  1.447831, Time  0.444670
2021-09-24 11:52:01.816626 : Epoch  6, Batch    416, Loss  1.457833, Average Loss  1.448107, Time  0.445166
2021-09-24 11:52:06.780444 : Epoch  6, Batch    366, Loss  1.444737, Average Loss  1.447868, Time  0.446144
2021-09-24 11:52:07.756404 : Epoch  6, Batch    417, Loss  1.437295, Average Loss  1.448087, Time  0.441043
2021-09-24 11:52:12.729891 : Epoch  6, Batch    367, Loss  1.428003, Average Loss  1.447784, Time  0.452105
2021-09-24 11:52:13.678775 : Epoch  6, Batch    418, Loss  1.442891, Average Loss  1.448056, Time  0.438262
2021-09-24 11:52:18.678744 : Epoch  6, Batch    368, Loss  1.449716, Average Loss  1.447786, Time  0.449778
2021-09-24 11:52:19.616366 : Epoch  6, Batch    419, Loss  1.441952, Average Loss  1.448095, Time  0.443461
2021-09-24 11:52:24.610854 : Epoch  6, Batch    369, Loss  1.449918, Average Loss  1.447783, Time  0.442794
2021-09-24 11:52:25.538145 : Epoch  6, Batch    420, Loss  1.454116, Average Loss  1.448107, Time  0.438763
2021-09-24 11:52:30.546261 : Epoch  6, Batch    370, Loss  1.437869, Average Loss  1.447730, Time  0.443616
2021-09-24 11:52:31.463770 : Epoch  6, Batch    421, Loss  1.444382, Average Loss  1.448104, Time  0.438533
2021-09-24 11:52:36.469800 : Epoch  6, Batch    371, Loss  1.446935, Average Loss  1.447741, Time  0.443084
2021-09-24 11:52:37.398509 : Epoch  6, Batch    422, Loss  1.445061, Average Loss  1.448150, Time  0.456862
2021-09-24 11:52:42.414323 : Epoch  6, Batch    372, Loss  1.450900, Average Loss  1.447669, Time  0.444157
2021-09-24 11:52:43.313747 : Epoch  6, Batch    423, Loss  1.443042, Average Loss  1.448088, Time  0.440450
2021-09-24 11:52:48.370501 : Epoch  6, Batch    373, Loss  1.450090, Average Loss  1.447664, Time  0.445096
2021-09-24 11:52:49.245098 : Epoch  6, Batch    424, Loss  1.450281, Average Loss  1.448168, Time  0.441571
2021-09-24 11:52:54.307616 : Epoch  6, Batch    374, Loss  1.452413, Average Loss  1.447644, Time  0.444955
2021-09-24 11:52:55.177842 : Epoch  6, Batch    425, Loss  1.456754, Average Loss  1.448130, Time  0.439467
2021-09-24 11:53:00.256068 : Epoch  6, Batch    375, Loss  1.439141, Average Loss  1.447577, Time  0.445082
2021-09-24 11:53:01.103061 : Epoch  6, Batch    426, Loss  1.456823, Average Loss  1.448233, Time  0.439649
2021-09-24 11:53:06.211611 : Epoch  6, Batch    376, Loss  1.449811, Average Loss  1.447538, Time  0.457143
2021-09-24 11:53:07.031674 : Epoch  6, Batch    427, Loss  1.443156, Average Loss  1.448194, Time  0.441304
2021-09-24 11:53:12.174717 : Epoch  6, Batch    377, Loss  1.457414, Average Loss  1.447480, Time  0.442638
2021-09-24 11:53:12.953813 : Epoch  6, Batch    428, Loss  1.436967, Average Loss  1.448125, Time  0.440917
2021-09-24 11:53:18.124663 : Epoch  6, Batch    378, Loss  1.436835, Average Loss  1.447415, Time  0.443694
2021-09-24 11:53:18.868931 : Epoch  6, Batch    429, Loss  1.448320, Average Loss  1.448132, Time  0.438906
2021-09-24 11:53:24.073214 : Epoch  6, Batch    379, Loss  1.462367, Average Loss  1.447494, Time  0.446634
2021-09-24 11:53:24.815030 : Epoch  6, Batch    430, Loss  1.435564, Average Loss  1.448150, Time  0.460992
2021-09-24 11:53:30.019145 : Epoch  6, Batch    380, Loss  1.438226, Average Loss  1.447459, Time  0.442987
2021-09-24 11:53:30.737428 : Epoch  6, Batch    431, Loss  1.442696, Average Loss  1.448114, Time  0.439746
2021-09-24 11:53:35.968890 : Epoch  6, Batch    381, Loss  1.456665, Average Loss  1.447484, Time  0.445175
2021-09-24 11:53:36.674719 : Epoch  6, Batch    432, Loss  1.454130, Average Loss  1.448171, Time  0.438537
2021-09-24 11:53:41.896847 : Epoch  6, Batch    382, Loss  1.448230, Average Loss  1.447529, Time  0.444340
2021-09-24 11:53:42.609189 : Epoch  6, Batch    433, Loss  1.460211, Average Loss  1.448238, Time  0.438942
2021-09-24 11:53:47.841568 : Epoch  6, Batch    383, Loss  1.437308, Average Loss  1.447508, Time  0.443603
2021-09-24 11:53:48.532807 : Epoch  6, Batch    434, Loss  1.442474, Average Loss  1.448174, Time  0.438692
2021-09-24 11:53:53.821928 : Epoch  6, Batch    384, Loss  1.447753, Average Loss  1.447545, Time  0.458587
2021-09-24 11:53:54.472447 : Epoch  6, Batch    435, Loss  1.464390, Average Loss  1.448261, Time  0.440136
2021-09-24 11:53:59.753305 : Epoch  6, Batch    385, Loss  1.442873, Average Loss  1.447484, Time  0.443506
2021-09-24 11:54:00.396416 : Epoch  6, Batch    436, Loss  1.443581, Average Loss  1.448206, Time  0.439518
2021-09-24 11:54:05.690757 : Epoch  6, Batch    386, Loss  1.452433, Average Loss  1.447480, Time  0.443480
2021-09-24 11:54:06.308064 : Epoch  6, Batch    437, Loss  1.444431, Average Loss  1.448190, Time  0.439638
2021-09-24 11:54:11.648229 : Epoch  6, Batch    387, Loss  1.444783, Average Loss  1.447476, Time  0.444621
2021-09-24 11:54:12.250947 : Epoch  6, Batch    438, Loss  1.465767, Average Loss  1.448289, Time  0.455482
2021-09-24 11:54:17.591792 : Epoch  6, Batch    388, Loss  1.449596, Average Loss  1.447477, Time  0.443322
2021-09-24 11:54:18.183813 : Epoch  6, Batch    439, Loss  1.451740, Average Loss  1.448279, Time  0.439515
2021-09-24 11:54:23.537290 : Epoch  6, Batch    389, Loss  1.446958, Average Loss  1.447437, Time  0.443328
2021-09-24 11:54:24.115277 : Epoch  6, Batch    440, Loss  1.442013, Average Loss  1.448219, Time  0.439015
2021-09-24 11:54:29.495833 : Epoch  6, Batch    390, Loss  1.440036, Average Loss  1.447399, Time  0.444934
2021-09-24 11:54:30.041853 : Epoch  6, Batch    441, Loss  1.452042, Average Loss  1.448184, Time  0.440976
2021-09-24 11:54:35.449537 : Epoch  6, Batch    391, Loss  1.445999, Average Loss  1.447344, Time  0.449238
2021-09-24 11:54:35.978026 : Epoch  6, Batch    442, Loss  1.434967, Average Loss  1.448097, Time  0.438424
2021-09-24 11:54:41.409128 : Epoch  6, Batch    392, Loss  1.449912, Average Loss  1.447377, Time  0.453413
2021-09-24 11:54:41.915349 : Epoch  6, Batch    443, Loss  1.447408, Average Loss  1.448103, Time  0.441221
2021-09-24 11:54:47.354676 : Epoch  6, Batch    393, Loss  1.445654, Average Loss  1.447368, Time  0.443694
2021-09-24 11:54:47.824648 : Epoch  6, Batch    444, Loss  1.461175, Average Loss  1.448171, Time  0.441300
2021-09-24 11:54:53.298994 : Epoch  6, Batch    394, Loss  1.456809, Average Loss  1.447409, Time  0.445204
2021-09-24 11:54:53.733834 : Epoch  6, Batch    445, Loss  1.445779, Average Loss  1.448154, Time  0.441157
2021-09-24 11:54:59.242286 : Epoch  6, Batch    395, Loss  1.443677, Average Loss  1.447397, Time  0.447400
2021-09-24 11:54:59.656769 : Epoch  6, Batch    446, Loss  1.454977, Average Loss  1.448185, Time  0.451622
2021-09-24 11:55:05.195279 : Epoch  6, Batch    396, Loss  1.441412, Average Loss  1.447366, Time  0.444496
2021-09-24 11:55:05.577800 : Epoch  6, Batch    447, Loss  1.447704, Average Loss  1.448225, Time  0.440662
2021-09-24 11:55:11.130535 : Epoch  6, Batch    397, Loss  1.442626, Average Loss  1.447358, Time  0.443450
2021-09-24 11:55:11.484994 : Epoch  6, Batch    448, Loss  1.461757, Average Loss  1.448261, Time  0.441974
2021-09-24 11:55:17.084459 : Epoch  6, Batch    398, Loss  1.456491, Average Loss  1.447404, Time  0.443662
2021-09-24 11:55:17.371372 : Epoch  6, Batch    449, Loss  1.446443, Average Loss  1.448239, Time  0.438486
2021-09-24 11:55:23.049130 : Epoch  6, Batch    399, Loss  1.454032, Average Loss  1.447425, Time  0.459254
2021-09-24 11:55:23.273632 : Epoch  6, Batch    450, Loss  1.453588, Average Loss  1.448272, Time  0.438631
2021-09-24 11:55:29.006667 : Epoch  6, Batch    400, Loss  1.445040, Average Loss  1.447426, Time  0.447871
2021-09-24 11:55:29.174588 : Epoch  6, Batch    451, Loss  1.452326, Average Loss  1.448240, Time  0.439715
2021-09-24 11:55:34.953228 : Epoch  6, Batch    401, Loss  1.442086, Average Loss  1.447355, Time  0.445657
2021-09-24 11:55:35.084156 : Epoch  6, Batch    452, Loss  1.447411, Average Loss  1.448172, Time  0.443725
2021-09-24 11:55:40.891915 : Epoch  6, Batch    402, Loss  1.452049, Average Loss  1.447355, Time  0.444280
2021-09-24 11:55:40.987721 : Epoch  6, Batch    453, Loss  1.441558, Average Loss  1.448156, Time  0.441269
2021-09-24 11:55:46.842652 : Epoch  6, Batch    403, Loss  1.447718, Average Loss  1.447438, Time  0.445666
2021-09-24 11:55:46.913534 : Epoch  6, Batch    454, Loss  1.458065, Average Loss  1.448182, Time  0.454465
2021-09-24 11:55:52.792078 : Epoch  6, Batch    404, Loss  1.437783, Average Loss  1.447394, Time  0.444480
2021-09-24 11:55:52.840086 : Epoch  6, Batch    455, Loss  1.451542, Average Loss  1.448196, Time  0.439295
2021-09-24 11:55:58.750300 : Epoch  6, Batch    405, Loss  1.434088, Average Loss  1.447317, Time  0.452044
2021-09-24 11:55:58.780046 : Epoch  6, Batch    456, Loss  1.447874, Average Loss  1.448150, Time  0.442883
2021-09-24 11:56:04.684774 : Epoch  6, Batch    406, Loss  1.438141, Average Loss  1.447208, Time  0.444227
2021-09-24 11:56:04.715975 : Epoch  6, Batch    457, Loss  1.446538, Average Loss  1.448134, Time  0.439073
2021-09-24 11:56:10.622245 : Epoch  6, Batch    407, Loss  1.440015, Average Loss  1.447200, Time  0.452564
2021-09-24 11:56:10.662639 : Epoch  6, Batch    458, Loss  1.444484, Average Loss  1.448138, Time  0.440805
2021-09-24 11:56:16.565283 : Epoch  6, Batch    408, Loss  1.453594, Average Loss  1.447235, Time  0.446270
2021-09-24 11:56:16.603979 : Epoch  6, Batch    459, Loss  1.433475, Average Loss  1.448088, Time  0.438447
2021-09-24 11:56:22.514851 : Epoch  6, Batch    409, Loss  1.454272, Average Loss  1.447251, Time  0.444642
2021-09-24 11:56:22.557341 : Epoch  6, Batch    460, Loss  1.444578, Average Loss  1.448097, Time  0.438250
2021-09-24 11:56:28.484329 : Epoch  6, Batch    410, Loss  1.441712, Average Loss  1.447156, Time  0.446003
2021-09-24 11:56:34.426436 : Epoch  6, Batch    411, Loss  1.448747, Average Loss  1.447126, Time  0.444141
2021-09-24 11:56:40.382904 : Epoch  6, Batch    412, Loss  1.449238, Average Loss  1.447087, Time  0.444564
2021-09-24 11:56:46.327628 : Epoch  6, Batch    413, Loss  1.446054, Average Loss  1.447037, Time  0.443475
2021-09-24 11:56:52.261400 : Epoch  6, Batch    414, Loss  1.445646, Average Loss  1.447072, Time  0.442999
2021-09-24 11:56:58.212425 : Epoch  6, Batch    415, Loss  1.448729, Average Loss  1.447168, Time  0.454626
2021-09-24 11:57:04.158779 : Epoch  6, Batch    416, Loss  1.459065, Average Loss  1.447229, Time  0.443070
2021-09-24 11:57:10.124528 : Epoch  6, Batch    417, Loss  1.448155, Average Loss  1.447220, Time  0.452127
2021-09-24 11:57:16.054348 : Epoch  6, Batch    418, Loss  1.438380, Average Loss  1.447115, Time  0.444550
2021-09-24 11:57:22.010416 : Epoch  6, Batch    419, Loss  1.452751, Average Loss  1.447127, Time  0.443785
2021-09-24 11:57:27.946728 : Epoch  6, Batch    420, Loss  1.459413, Average Loss  1.447150, Time  0.442848
2021-09-24 11:57:33.896569 : Epoch  6, Batch    421, Loss  1.446279, Average Loss  1.447152, Time  0.449932
2021-09-24 11:57:39.851555 : Epoch  6, Batch    422, Loss  1.434192, Average Loss  1.447120, Time  0.443912
2021-09-24 11:57:45.815421 : Epoch  6, Batch    423, Loss  1.439705, Average Loss  1.447144, Time  0.457983
2021-09-24 11:57:51.772487 : Epoch  6, Batch    424, Loss  1.451772, Average Loss  1.447160, Time  0.444119
2021-09-24 11:57:57.723883 : Epoch  6, Batch    425, Loss  1.443106, Average Loss  1.447080, Time  0.445390
2021-09-24 11:58:03.673447 : Epoch  6, Batch    426, Loss  1.447408, Average Loss  1.447072, Time  0.443089
2021-09-24 11:58:09.611979 : Epoch  6, Batch    427, Loss  1.453245, Average Loss  1.447114, Time  0.443775
2021-09-24 11:58:15.562894 : Epoch  6, Batch    428, Loss  1.439240, Average Loss  1.447070, Time  0.446369
2021-09-24 11:58:21.510220 : Epoch  6, Batch    429, Loss  1.445271, Average Loss  1.447132, Time  0.445028
2021-09-24 11:58:27.444279 : Epoch  6, Batch    430, Loss  1.432187, Average Loss  1.447061, Time  0.442956
2021-09-24 11:58:33.407608 : Epoch  6, Batch    431, Loss  1.434665, Average Loss  1.446955, Time  0.459252
2021-09-24 11:58:39.350610 : Epoch  6, Batch    432, Loss  1.455133, Average Loss  1.446985, Time  0.447075
2021-09-24 11:58:45.326814 : Epoch  6, Batch    433, Loss  1.448700, Average Loss  1.447035, Time  0.444386
2021-09-24 11:58:51.263018 : Epoch  6, Batch    434, Loss  1.441476, Average Loss  1.447021, Time  0.444167
2021-09-24 11:58:57.216685 : Epoch  6, Batch    435, Loss  1.464244, Average Loss  1.447075, Time  0.445036
2021-09-24 11:59:03.178734 : Epoch  6, Batch    436, Loss  1.448730, Average Loss  1.447034, Time  0.444740
2021-09-24 11:59:09.118907 : Epoch  6, Batch    437, Loss  1.457075, Average Loss  1.447065, Time  0.445182
2021-09-24 11:59:15.082296 : Epoch  6, Batch    438, Loss  1.457248, Average Loss  1.447041, Time  0.455607
2021-09-24 11:59:21.044952 : Epoch  6, Batch    439, Loss  1.442059, Average Loss  1.446948, Time  0.446751
2021-09-24 11:59:26.994864 : Epoch  6, Batch    440, Loss  1.448359, Average Loss  1.446918, Time  0.447589
2021-09-24 11:59:32.946439 : Epoch  6, Batch    441, Loss  1.451222, Average Loss  1.446919, Time  0.445987
2021-09-24 11:59:38.907867 : Epoch  6, Batch    442, Loss  1.448476, Average Loss  1.446885, Time  0.446808
2021-09-24 11:59:44.853932 : Epoch  6, Batch    443, Loss  1.450843, Average Loss  1.446910, Time  0.446328
2021-09-24 11:59:50.788418 : Epoch  6, Batch    444, Loss  1.442613, Average Loss  1.446894, Time  0.443186
2021-09-24 11:59:56.740364 : Epoch  6, Batch    445, Loss  1.452323, Average Loss  1.446942, Time  0.445022
2021-09-24 12:00:02.752070 : Epoch  6, Batch    446, Loss  1.443052, Average Loss  1.446923, Time  0.465873
2021-09-24 12:00:08.687555 : Epoch  6, Batch    447, Loss  1.456565, Average Loss  1.446955, Time  0.444477
2021-09-24 12:00:14.631567 : Epoch  6, Batch    448, Loss  1.451484, Average Loss  1.446925, Time  0.443629
2021-09-24 12:00:20.590844 : Epoch  6, Batch    449, Loss  1.438960, Average Loss  1.446845, Time  0.446635
2021-09-24 12:00:26.548956 : Epoch  6, Batch    450, Loss  1.464599, Average Loss  1.446972, Time  0.444222
2021-09-24 12:00:32.496568 : Epoch  6, Batch    451, Loss  1.451369, Average Loss  1.447029, Time  0.444759
2021-09-24 12:00:38.466595 : Epoch  6, Batch    452, Loss  1.441036, Average Loss  1.446969, Time  0.443481
2021-09-24 12:00:44.434889 : Epoch  6, Batch    453, Loss  1.446590, Average Loss  1.446993, Time  0.443757
2021-09-24 12:00:50.391079 : Epoch  6, Batch    454, Loss  1.436220, Average Loss  1.446886, Time  0.451430
2021-09-24 12:00:56.349181 : Epoch  6, Batch    455, Loss  1.446264, Average Loss  1.446901, Time  0.445415
2021-09-24 12:01:00.729759 : CheckPoint: Validation Loss  0.00025232, Best Loss  0.00024726
2021-09-24 12:01:02.306626 : Epoch  6, Batch    456, Loss  1.436372, Average Loss  1.446813, Time  0.446348
2021-09-24 12:01:06.674615 : Epoch  6, Batch    461, Loss  1.447805, Average Loss  1.448168, Time  0.447653
2021-09-24 12:01:08.278833 : Epoch  6, Batch    457, Loss  1.450897, Average Loss  1.446817, Time  0.443599
2021-09-24 12:01:12.605398 : Epoch  6, Batch    462, Loss  1.454519, Average Loss  1.448253, Time  0.438885
2021-09-24 12:01:14.213482 : Epoch  6, Batch    458, Loss  1.435208, Average Loss  1.446705, Time  0.443302
2021-09-24 12:01:18.541784 : Epoch  6, Batch    463, Loss  1.456263, Average Loss  1.448278, Time  0.438196
2021-09-24 12:01:20.166159 : Epoch  6, Batch    459, Loss  1.433098, Average Loss  1.446638, Time  0.449925
2021-09-24 12:01:24.470779 : Epoch  6, Batch    464, Loss  1.458887, Average Loss  1.448382, Time  0.440932
2021-09-24 12:01:26.115559 : Epoch  6, Batch    460, Loss  1.452348, Average Loss  1.446697, Time  0.444554
2021-09-24 12:01:30.441004 : Epoch  6, Batch    465, Loss  1.450287, Average Loss  1.448366, Time  0.440062
2021-09-24 12:01:36.374197 : Epoch  6, Batch    466, Loss  1.451689, Average Loss  1.448421, Time  0.440031
2021-09-24 12:01:42.292223 : Epoch  6, Batch    467, Loss  1.441861, Average Loss  1.448419, Time  0.438944
2021-09-24 12:01:48.210126 : Epoch  6, Batch    468, Loss  1.451407, Average Loss  1.448407, Time  0.438526
2021-09-24 12:01:54.150939 : Epoch  6, Batch    469, Loss  1.438704, Average Loss  1.448369, Time  0.445740
2021-09-24 12:02:00.074727 : Epoch  6, Batch    470, Loss  1.448525, Average Loss  1.448366, Time  0.439588
2021-09-24 12:02:05.996327 : Epoch  6, Batch    471, Loss  1.435670, Average Loss  1.448339, Time  0.439388
2021-09-24 12:02:11.925855 : Epoch  6, Batch    472, Loss  1.446241, Average Loss  1.448395, Time  0.439929
2021-09-24 12:02:17.850255 : Epoch  6, Batch    473, Loss  1.439930, Average Loss  1.448377, Time  0.438488
2021-09-24 12:02:23.762517 : Epoch  6, Batch    474, Loss  1.451310, Average Loss  1.448411, Time  0.438813
2021-09-24 12:02:29.691345 : Epoch  6, Batch    475, Loss  1.442679, Average Loss  1.448389, Time  0.439199
2021-09-24 12:02:35.632248 : Epoch  6, Batch    476, Loss  1.454439, Average Loss  1.448428, Time  0.443048
2021-09-24 12:02:41.581448 : Epoch  6, Batch    477, Loss  1.454190, Average Loss  1.448460, Time  0.448778
2021-09-24 12:02:47.518783 : Epoch  6, Batch    478, Loss  1.454169, Average Loss  1.448453, Time  0.439488
2021-09-24 12:02:53.458454 : Epoch  6, Batch    479, Loss  1.438286, Average Loss  1.448401, Time  0.438785
2021-09-24 12:02:59.387512 : Epoch  6, Batch    480, Loss  1.454352, Average Loss  1.448490, Time  0.441151
2021-09-24 12:03:05.318398 : Epoch  6, Batch    481, Loss  1.442330, Average Loss  1.448482, Time  0.438816
2021-09-24 12:03:11.252223 : Epoch  6, Batch    482, Loss  1.447993, Average Loss  1.448513, Time  0.442180
2021-09-24 12:03:17.163136 : Epoch  6, Batch    483, Loss  1.454268, Average Loss  1.448565, Time  0.439528
2021-09-24 12:03:23.098529 : Epoch  6, Batch    484, Loss  1.443916, Average Loss  1.448515, Time  0.447052
2021-09-24 12:03:29.035577 : Epoch  6, Batch    485, Loss  1.443130, Average Loss  1.448490, Time  0.449104
2021-09-24 12:03:34.965361 : Epoch  6, Batch    486, Loss  1.438406, Average Loss  1.448483, Time  0.441093
2021-09-24 12:03:40.910485 : Epoch  6, Batch    487, Loss  1.434300, Average Loss  1.448439, Time  0.439770
2021-09-24 12:03:46.843882 : Epoch  6, Batch    488, Loss  1.441746, Average Loss  1.448467, Time  0.439639
2021-09-24 12:03:52.783085 : Epoch  6, Batch    489, Loss  1.441019, Average Loss  1.448444, Time  0.440328
2021-09-24 12:03:58.710888 : Epoch  6, Batch    490, Loss  1.445758, Average Loss  1.448480, Time  0.442188
2021-09-24 12:04:04.644940 : Epoch  6, Batch    491, Loss  1.458323, Average Loss  1.448510, Time  0.440276
2021-09-24 12:04:10.607991 : Epoch  6, Batch    492, Loss  1.444457, Average Loss  1.448530, Time  0.455285
2021-09-24 12:04:16.532509 : Epoch  6, Batch    493, Loss  1.450438, Average Loss  1.448516, Time  0.439478
2021-09-24 12:04:22.474983 : Epoch  6, Batch    494, Loss  1.436768, Average Loss  1.448485, Time  0.443486
2021-09-24 12:04:28.406837 : Epoch  6, Batch    495, Loss  1.451467, Average Loss  1.448424, Time  0.452662
2021-09-24 12:04:34.339460 : Epoch  6, Batch    496, Loss  1.445854, Average Loss  1.448396, Time  0.440345
2021-09-24 12:04:40.280229 : Epoch  6, Batch    497, Loss  1.435961, Average Loss  1.448369, Time  0.438957
2021-09-24 12:04:46.214939 : Epoch  6, Batch    498, Loss  1.442618, Average Loss  1.448285, Time  0.440140
2021-09-24 12:04:52.168478 : Epoch  6, Batch    499, Loss  1.453131, Average Loss  1.448293, Time  0.441957
2021-09-24 12:04:58.098819 : Epoch  6, Batch    500, Loss  1.442930, Average Loss  1.448260, Time  0.450631
2021-09-24 12:05:04.037269 : Epoch  6, Batch    501, Loss  1.451176, Average Loss  1.448239, Time  0.440619
2021-09-24 12:05:09.960791 : Epoch  6, Batch    502, Loss  1.455481, Average Loss  1.448372, Time  0.440824
2021-09-24 12:05:15.886049 : Epoch  6, Batch    503, Loss  1.448006, Average Loss  1.448355, Time  0.441466
2021-09-24 12:05:21.802908 : Epoch  6, Batch    504, Loss  1.442356, Average Loss  1.448321, Time  0.439616
2021-09-24 12:05:27.733329 : Epoch  6, Batch    505, Loss  1.448996, Average Loss  1.448347, Time  0.440522
2021-09-24 12:05:33.656707 : Epoch  6, Batch    506, Loss  1.455762, Average Loss  1.448358, Time  0.439616
2021-09-24 12:05:39.582061 : Epoch  6, Batch    507, Loss  1.458053, Average Loss  1.448374, Time  0.442075
2021-09-24 12:05:45.511439 : Epoch  6, Batch    508, Loss  1.447740, Average Loss  1.448352, Time  0.456094
2021-09-24 12:05:51.439861 : Epoch  6, Batch    509, Loss  1.449405, Average Loss  1.448371, Time  0.439174
2021-09-24 12:05:57.354810 : Epoch  6, Batch    510, Loss  1.446433, Average Loss  1.448348, Time  0.439219
2021-09-24 12:06:03.288299 : Epoch  6, Batch    511, Loss  1.451847, Average Loss  1.448332, Time  0.439933
2021-09-24 12:06:04.565817 : CheckPoint: Validation Loss  0.00025272, Best Loss  0.00024587
2021-09-24 12:06:09.212874 : Epoch  6, Batch    512, Loss  1.448169, Average Loss  1.448316, Time  0.439071
2021-09-24 12:06:10.530921 : Epoch  6, Batch    461, Loss  1.456500, Average Loss  1.446777, Time  0.459756
2021-09-24 12:06:15.145399 : Epoch  6, Batch    513, Loss  1.452237, Average Loss  1.448362, Time  0.439440
2021-09-24 12:06:16.480615 : Epoch  6, Batch    462, Loss  1.451646, Average Loss  1.446777, Time  0.443346
2021-09-24 12:06:21.091481 : Epoch  6, Batch    514, Loss  1.447559, Average Loss  1.448377, Time  0.438799
2021-09-24 12:06:22.443807 : Epoch  6, Batch    463, Loss  1.456647, Average Loss  1.446851, Time  0.446511
2021-09-24 12:06:27.014736 : Epoch  6, Batch    515, Loss  1.447987, Average Loss  1.448397, Time  0.442176
2021-09-24 12:06:28.393669 : Epoch  6, Batch    464, Loss  1.446197, Average Loss  1.446811, Time  0.444878
2021-09-24 12:06:32.967042 : Epoch  6, Batch    516, Loss  1.455374, Average Loss  1.448547, Time  0.455273
2021-09-24 12:06:34.351883 : Epoch  6, Batch    465, Loss  1.445403, Average Loss  1.446803, Time  0.444331
2021-09-24 12:06:38.932326 : Epoch  6, Batch    517, Loss  1.451662, Average Loss  1.448592, Time  0.440264
2021-09-24 12:06:40.304823 : Epoch  6, Batch    466, Loss  1.445650, Average Loss  1.446781, Time  0.444685
2021-09-24 12:06:44.864844 : Epoch  6, Batch    518, Loss  1.437843, Average Loss  1.448536, Time  0.439457
2021-09-24 12:06:46.262159 : Epoch  6, Batch    467, Loss  1.444914, Average Loss  1.446735, Time  0.447498
2021-09-24 12:06:50.793845 : Epoch  6, Batch    519, Loss  1.452062, Average Loss  1.448562, Time  0.440817
2021-09-24 12:06:52.215893 : Epoch  6, Batch    468, Loss  1.445497, Average Loss  1.446752, Time  0.454097
2021-09-24 12:06:56.729368 : Epoch  6, Batch    520, Loss  1.445435, Average Loss  1.448504, Time  0.441092
2021-09-24 12:06:58.170223 : Epoch  6, Batch    469, Loss  1.448974, Average Loss  1.446791, Time  0.452987
2021-09-24 12:07:02.655396 : Epoch  6, Batch    521, Loss  1.442329, Average Loss  1.448415, Time  0.440588
2021-09-24 12:07:04.111590 : Epoch  6, Batch    470, Loss  1.433019, Average Loss  1.446706, Time  0.443715
2021-09-24 12:07:08.597902 : Epoch  6, Batch    522, Loss  1.457174, Average Loss  1.448418, Time  0.439902
2021-09-24 12:07:10.065745 : Epoch  6, Batch    471, Loss  1.438306, Average Loss  1.446638, Time  0.443119
2021-09-24 12:07:14.556350 : Epoch  6, Batch    523, Loss  1.444164, Average Loss  1.448400, Time  0.458451
2021-09-24 12:07:16.037696 : Epoch  6, Batch    472, Loss  1.441271, Average Loss  1.446593, Time  0.444288
2021-09-24 12:07:20.488107 : Epoch  6, Batch    524, Loss  1.439139, Average Loss  1.448330, Time  0.440708
2021-09-24 12:07:21.988696 : Epoch  6, Batch    473, Loss  1.452254, Average Loss  1.446648, Time  0.453742
2021-09-24 12:07:26.437465 : Epoch  6, Batch    525, Loss  1.446660, Average Loss  1.448376, Time  0.439920
2021-09-24 12:07:27.941329 : Epoch  6, Batch    474, Loss  1.449982, Average Loss  1.446679, Time  0.443615
2021-09-24 12:07:32.363656 : Epoch  6, Batch    526, Loss  1.441110, Average Loss  1.448295, Time  0.441156
2021-09-24 12:07:33.887680 : Epoch  6, Batch    475, Loss  1.457176, Average Loss  1.446728, Time  0.447384
2021-09-24 12:07:38.295140 : Epoch  6, Batch    527, Loss  1.439085, Average Loss  1.448276, Time  0.442644
2021-09-24 12:07:39.852504 : Epoch  6, Batch    476, Loss  1.449518, Average Loss  1.446794, Time  0.453023
2021-09-24 12:07:44.230346 : Epoch  6, Batch    528, Loss  1.442844, Average Loss  1.448337, Time  0.441692
2021-09-24 12:07:45.812250 : Epoch  6, Batch    477, Loss  1.431504, Average Loss  1.446739, Time  0.445173
2021-09-24 12:07:50.168927 : Epoch  6, Batch    529, Loss  1.438210, Average Loss  1.448269, Time  0.439337
2021-09-24 12:07:51.756336 : Epoch  6, Batch    478, Loss  1.446233, Average Loss  1.446751, Time  0.443411
2021-09-24 12:07:56.091320 : Epoch  6, Batch    530, Loss  1.454216, Average Loss  1.448242, Time  0.440374
2021-09-24 12:07:57.707805 : Epoch  6, Batch    479, Loss  1.441935, Average Loss  1.446771, Time  0.443776
2021-09-24 12:08:02.036437 : Epoch  6, Batch    531, Loss  1.448057, Average Loss  1.448225, Time  0.454613
2021-09-24 12:08:03.674161 : Epoch  6, Batch    480, Loss  1.448095, Average Loss  1.446719, Time  0.445239
2021-09-24 12:08:07.975454 : Epoch  6, Batch    532, Loss  1.442755, Average Loss  1.448241, Time  0.438664
2021-09-24 12:08:09.647811 : Epoch  6, Batch    481, Loss  1.434073, Average Loss  1.446645, Time  0.446035
2021-09-24 12:08:13.888630 : Epoch  6, Batch    533, Loss  1.458762, Average Loss  1.448337, Time  0.439949
2021-09-24 12:08:15.597057 : Epoch  6, Batch    482, Loss  1.439606, Average Loss  1.446590, Time  0.445169
2021-09-24 12:08:19.834958 : Epoch  6, Batch    534, Loss  1.456824, Average Loss  1.448371, Time  0.443143
2021-09-24 12:08:21.542768 : Epoch  6, Batch    483, Loss  1.449054, Average Loss  1.446561, Time  0.443509
2021-09-24 12:08:25.774416 : Epoch  6, Batch    535, Loss  1.444428, Average Loss  1.448280, Time  0.442505
2021-09-24 12:08:27.518484 : Epoch  6, Batch    484, Loss  1.448651, Average Loss  1.446604, Time  0.460512
2021-09-24 12:08:31.699780 : Epoch  6, Batch    536, Loss  1.452271, Average Loss  1.448287, Time  0.438812
2021-09-24 12:08:33.462029 : Epoch  6, Batch    485, Loss  1.464083, Average Loss  1.446688, Time  0.444615
2021-09-24 12:08:37.631641 : Epoch  6, Batch    537, Loss  1.446106, Average Loss  1.448257, Time  0.439131
2021-09-24 12:08:39.411939 : Epoch  6, Batch    486, Loss  1.453313, Average Loss  1.446802, Time  0.447558
2021-09-24 12:08:43.572610 : Epoch  6, Batch    538, Loss  1.436988, Average Loss  1.448144, Time  0.439903
2021-09-24 12:08:45.354787 : Epoch  6, Batch    487, Loss  1.451327, Average Loss  1.446811, Time  0.444259
2021-09-24 12:08:49.525829 : Epoch  6, Batch    539, Loss  1.445609, Average Loss  1.448139, Time  0.452659
2021-09-24 12:08:51.294668 : Epoch  6, Batch    488, Loss  1.444328, Average Loss  1.446837, Time  0.445759
2021-09-24 12:08:55.451966 : Epoch  6, Batch    540, Loss  1.447158, Average Loss  1.448126, Time  0.439856
2021-09-24 12:08:57.233297 : Epoch  6, Batch    489, Loss  1.453062, Average Loss  1.446918, Time  0.445049
2021-09-24 12:09:01.373321 : Epoch  6, Batch    541, Loss  1.462220, Average Loss  1.448227, Time  0.438532
2021-09-24 12:09:03.174113 : Epoch  6, Batch    490, Loss  1.438029, Average Loss  1.446933, Time  0.443313
2021-09-24 12:09:07.295817 : Epoch  6, Batch    542, Loss  1.441149, Average Loss  1.448210, Time  0.438938
2021-09-24 12:09:09.133666 : Epoch  6, Batch    491, Loss  1.439778, Average Loss  1.446930, Time  0.462188
2021-09-24 12:09:13.249808 : Epoch  6, Batch    543, Loss  1.436971, Average Loss  1.448115, Time  0.440032
2021-09-24 12:09:15.077706 : Epoch  6, Batch    492, Loss  1.454458, Average Loss  1.446983, Time  0.444648
2021-09-24 12:09:19.168041 : Epoch  6, Batch    544, Loss  1.446470, Average Loss  1.448076, Time  0.439447
2021-09-24 12:09:21.018680 : Epoch  6, Batch    493, Loss  1.445572, Average Loss  1.446998, Time  0.442796
2021-09-24 12:09:25.086907 : Epoch  6, Batch    545, Loss  1.442491, Average Loss  1.448072, Time  0.438543
2021-09-24 12:09:26.967606 : Epoch  6, Batch    494, Loss  1.443595, Average Loss  1.446946, Time  0.443345
2021-09-24 12:09:30.998143 : Epoch  6, Batch    546, Loss  1.456533, Average Loss  1.448211, Time  0.439770
2021-09-24 12:09:32.912107 : Epoch  6, Batch    495, Loss  1.453210, Average Loss  1.446937, Time  0.445808
2021-09-24 12:09:36.952506 : Epoch  6, Batch    547, Loss  1.443392, Average Loss  1.448229, Time  0.456471
2021-09-24 12:09:38.856313 : Epoch  6, Batch    496, Loss  1.445596, Average Loss  1.446968, Time  0.444521
2021-09-24 12:09:42.867663 : Epoch  6, Batch    548, Loss  1.439172, Average Loss  1.448171, Time  0.440304
2021-09-24 12:09:44.812330 : Epoch  6, Batch    497, Loss  1.442829, Average Loss  1.446910, Time  0.444193
2021-09-24 12:09:48.812807 : Epoch  6, Batch    549, Loss  1.437771, Average Loss  1.448162, Time  0.440116
2021-09-24 12:09:50.788630 : Epoch  6, Batch    498, Loss  1.450109, Average Loss  1.446937, Time  0.445164
2021-09-24 12:09:54.745768 : Epoch  6, Batch    550, Loss  1.453435, Average Loss  1.448157, Time  0.439057
2021-09-24 12:09:56.757749 : Epoch  6, Batch    499, Loss  1.454254, Average Loss  1.446977, Time  0.462513
2021-09-24 12:10:00.676964 : Epoch  6, Batch    551, Loss  1.446850, Average Loss  1.448177, Time  0.438925
2021-09-24 12:10:02.697913 : Epoch  6, Batch    500, Loss  1.463597, Average Loss  1.447041, Time  0.444726
2021-09-24 12:10:06.603317 : Epoch  6, Batch    552, Loss  1.441655, Average Loss  1.448162, Time  0.438993
2021-09-24 12:10:08.632790 : Epoch  6, Batch    501, Loss  1.448805, Average Loss  1.447060, Time  0.443659
2021-09-24 12:10:12.521437 : Epoch  6, Batch    553, Loss  1.437475, Average Loss  1.448057, Time  0.440486
2021-09-24 12:10:14.580656 : Epoch  6, Batch    502, Loss  1.436927, Average Loss  1.447001, Time  0.443182
2021-09-24 12:10:18.457819 : Epoch  6, Batch    554, Loss  1.433071, Average Loss  1.447990, Time  0.440965
2021-09-24 12:10:20.561674 : Epoch  6, Batch    503, Loss  1.443995, Average Loss  1.447069, Time  0.446332
2021-09-24 12:10:24.421010 : Epoch  6, Batch    555, Loss  1.449219, Average Loss  1.448000, Time  0.455629
2021-09-24 12:10:26.499594 : Epoch  6, Batch    504, Loss  1.459375, Average Loss  1.447085, Time  0.445797
2021-09-24 12:10:30.339923 : Epoch  6, Batch    556, Loss  1.450027, Average Loss  1.447994, Time  0.439340
2021-09-24 12:10:32.445833 : Epoch  6, Batch    505, Loss  1.449976, Average Loss  1.447150, Time  0.444026
2021-09-24 12:10:36.264888 : Epoch  6, Batch    557, Loss  1.457239, Average Loss  1.448041, Time  0.439468
2021-09-24 12:10:38.405499 : Epoch  6, Batch    506, Loss  1.448883, Average Loss  1.447188, Time  0.444464
2021-09-24 12:10:42.208814 : Epoch  6, Batch    558, Loss  1.444417, Average Loss  1.448043, Time  0.439590
2021-09-24 12:10:44.365578 : Epoch  6, Batch    507, Loss  1.441236, Average Loss  1.447116, Time  0.451255
2021-09-24 12:10:48.125767 : Epoch  6, Batch    559, Loss  1.444365, Average Loss  1.448005, Time  0.439872
2021-09-24 12:10:50.331354 : Epoch  6, Batch    508, Loss  1.438477, Average Loss  1.447105, Time  0.444286
2021-09-24 12:10:54.067856 : Epoch  6, Batch    560, Loss  1.442957, Average Loss  1.448002, Time  0.441476
2021-09-24 12:10:56.357949 : Epoch  6, Batch    509, Loss  1.448394, Average Loss  1.447065, Time  0.448720
2021-09-24 12:11:02.320349 : Epoch  6, Batch    510, Loss  1.438685, Average Loss  1.447032, Time  0.447300
2021-09-24 12:11:08.273684 : Epoch  6, Batch    511, Loss  1.449701, Average Loss  1.447024, Time  0.444557
2021-09-24 12:11:14.216256 : Epoch  6, Batch    512, Loss  1.457266, Average Loss  1.447100, Time  0.443465
2021-09-24 12:11:20.176313 : Epoch  6, Batch    513, Loss  1.455200, Average Loss  1.447192, Time  0.444905
2021-09-24 12:11:26.167842 : Epoch  6, Batch    514, Loss  1.444111, Average Loss  1.447098, Time  0.461178
2021-09-24 12:11:32.119436 : Epoch  6, Batch    515, Loss  1.450350, Average Loss  1.447185, Time  0.444365
2021-09-24 12:11:38.062310 : Epoch  6, Batch    516, Loss  1.446244, Average Loss  1.447172, Time  0.447039
2021-09-24 12:11:44.009868 : Epoch  6, Batch    517, Loss  1.453203, Average Loss  1.447207, Time  0.444146
2021-09-24 12:11:49.974783 : Epoch  6, Batch    518, Loss  1.446074, Average Loss  1.447221, Time  0.446490
2021-09-24 12:11:55.953830 : Epoch  6, Batch    519, Loss  1.447972, Average Loss  1.447217, Time  0.446504
2021-09-24 12:12:01.938322 : Epoch  6, Batch    520, Loss  1.435890, Average Loss  1.447147, Time  0.445962
2021-09-24 12:12:07.880822 : Epoch  6, Batch    521, Loss  1.448172, Average Loss  1.447140, Time  0.443465
2021-09-24 12:12:13.844840 : Epoch  6, Batch    522, Loss  1.442326, Average Loss  1.447053, Time  0.461839
2021-09-24 12:12:19.799591 : Epoch  6, Batch    523, Loss  1.452136, Average Loss  1.447088, Time  0.446789
2021-09-24 12:12:25.775006 : Epoch  6, Batch    524, Loss  1.448715, Average Loss  1.447121, Time  0.445179
2021-09-24 12:12:31.741148 : Epoch  6, Batch    525, Loss  1.455303, Average Loss  1.447135, Time  0.443421
2021-09-24 12:12:37.697994 : Epoch  6, Batch    526, Loss  1.464900, Average Loss  1.447196, Time  0.446706
2021-09-24 12:12:43.657898 : Epoch  6, Batch    527, Loss  1.459429, Average Loss  1.447251, Time  0.446330
2021-09-24 12:12:49.603390 : Epoch  6, Batch    528, Loss  1.456411, Average Loss  1.447226, Time  0.445182
2021-09-24 12:12:55.567837 : Epoch  6, Batch    529, Loss  1.457371, Average Loss  1.447312, Time  0.445155
2021-09-24 12:13:01.518639 : Epoch  6, Batch    530, Loss  1.448465, Average Loss  1.447344, Time  0.455019
2021-09-24 12:13:07.492428 : Epoch  6, Batch    531, Loss  1.458233, Average Loss  1.447411, Time  0.444178
2021-09-24 12:13:13.433130 : Epoch  6, Batch    532, Loss  1.453267, Average Loss  1.447491, Time  0.444411
2021-09-24 12:13:19.383802 : Epoch  6, Batch    533, Loss  1.461277, Average Loss  1.447646, Time  0.445035
2021-09-24 12:13:25.326981 : Epoch  6, Batch    534, Loss  1.440282, Average Loss  1.447537, Time  0.446291
2021-09-24 12:13:31.285997 : Epoch  6, Batch    535, Loss  1.446261, Average Loss  1.447557, Time  0.446935
2021-09-24 12:13:37.243356 : Epoch  6, Batch    536, Loss  1.454438, Average Loss  1.447591, Time  0.449080
2021-09-24 12:13:43.215117 : Epoch  6, Batch    537, Loss  1.452352, Average Loss  1.447643, Time  0.463653
2021-09-24 12:13:49.168861 : Epoch  6, Batch    538, Loss  1.451411, Average Loss  1.447634, Time  0.444926
2021-09-24 12:13:55.119854 : Epoch  6, Batch    539, Loss  1.459236, Average Loss  1.447675, Time  0.443850
2021-09-24 12:14:01.077645 : Epoch  6, Batch    540, Loss  1.446962, Average Loss  1.447577, Time  0.443631
2021-09-24 12:14:07.030001 : Epoch  6, Batch    541, Loss  1.429072, Average Loss  1.447448, Time  0.443657
2021-09-24 12:14:12.995427 : Epoch  6, Batch    542, Loss  1.449327, Average Loss  1.447498, Time  0.444171
2021-09-24 12:14:18.948503 : Epoch  6, Batch    543, Loss  1.446162, Average Loss  1.447490, Time  0.445957
2021-09-24 12:14:24.882064 : Epoch  6, Batch    544, Loss  1.443848, Average Loss  1.447519, Time  0.444378
2021-09-24 12:14:30.851908 : Epoch  6, Batch    545, Loss  1.460494, Average Loss  1.447624, Time  0.463121
2021-09-24 12:14:36.803872 : Epoch  6, Batch    546, Loss  1.444934, Average Loss  1.447599, Time  0.443690
2021-09-24 12:14:42.742864 : Epoch  6, Batch    547, Loss  1.443234, Average Loss  1.447541, Time  0.443080
2021-09-24 12:14:48.722280 : Epoch  6, Batch    548, Loss  1.451773, Average Loss  1.447622, Time  0.446871
2021-09-24 12:14:54.653306 : Epoch  6, Batch    549, Loss  1.454460, Average Loss  1.447660, Time  0.444365
2021-09-24 12:15:00.592720 : Epoch  6, Batch    550, Loss  1.461164, Average Loss  1.447738, Time  0.444980
2021-09-24 12:15:06.547481 : Epoch  6, Batch    551, Loss  1.430027, Average Loss  1.447648, Time  0.444691
2021-09-24 12:15:12.498393 : Epoch  6, Batch    552, Loss  1.446954, Average Loss  1.447650, Time  0.446026
2021-09-24 12:15:18.477539 : Epoch  6, Batch    553, Loss  1.461818, Average Loss  1.447760, Time  0.463222
2021-09-24 12:15:24.419544 : Epoch  6, Batch    554, Loss  1.440840, Average Loss  1.447731, Time  0.444620
2021-09-24 12:15:30.369569 : Epoch  6, Batch    555, Loss  1.445721, Average Loss  1.447654, Time  0.445921
2021-09-24 12:15:32.250752 : CheckPoint: Validation Loss  0.00025385, Best Loss  0.00024726
2021-09-24 12:15:36.334926 : Epoch  6, Batch    556, Loss  1.438791, Average Loss  1.447597, Time  0.444244
2021-09-24 12:15:38.187052 : Epoch  6, Batch    561, Loss  1.444038, Average Loss  1.447922, Time  0.438626
2021-09-24 12:15:42.290814 : Epoch  6, Batch    557, Loss  1.444201, Average Loss  1.447563, Time  0.448207
2021-09-24 12:15:44.125510 : Epoch  6, Batch    562, Loss  1.456774, Average Loss  1.447879, Time  0.459373
2021-09-24 12:15:48.250601 : Epoch  6, Batch    558, Loss  1.460830, Average Loss  1.447609, Time  0.446871
2021-09-24 12:15:50.072162 : Epoch  6, Batch    563, Loss  1.454073, Average Loss  1.447892, Time  0.438826
2021-09-24 12:15:54.233614 : Epoch  6, Batch    559, Loss  1.459444, Average Loss  1.447649, Time  0.446750
2021-09-24 12:15:56.006695 : Epoch  6, Batch    564, Loss  1.450299, Average Loss  1.447910, Time  0.440808
2021-09-24 12:16:00.203350 : Epoch  6, Batch    560, Loss  1.432932, Average Loss  1.447592, Time  0.454760
2021-09-24 12:16:01.946775 : Epoch  6, Batch    565, Loss  1.456418, Average Loss  1.447985, Time  0.440643
2021-09-24 12:16:07.897847 : Epoch  6, Batch    566, Loss  1.447383, Average Loss  1.447983, Time  0.440759
2021-09-24 12:16:13.822829 : Epoch  6, Batch    567, Loss  1.448219, Average Loss  1.447951, Time  0.438747
2021-09-24 12:16:19.775790 : Epoch  6, Batch    568, Loss  1.449465, Average Loss  1.447975, Time  0.440895
2021-09-24 12:16:25.717303 : Epoch  6, Batch    569, Loss  1.440066, Average Loss  1.447916, Time  0.439679
2021-09-24 12:16:31.669994 : Epoch  6, Batch    570, Loss  1.439125, Average Loss  1.447858, Time  0.451127
2021-09-24 12:16:37.606461 : Epoch  6, Batch    571, Loss  1.444686, Average Loss  1.447848, Time  0.439589
2021-09-24 12:16:43.545674 : Epoch  6, Batch    572, Loss  1.439581, Average Loss  1.447819, Time  0.439119
2021-09-24 12:16:49.485251 : Epoch  6, Batch    573, Loss  1.444862, Average Loss  1.447851, Time  0.438816
2021-09-24 12:16:55.439803 : Epoch  6, Batch    574, Loss  1.451262, Average Loss  1.447881, Time  0.441028
2021-09-24 12:17:01.371823 : Epoch  6, Batch    575, Loss  1.443676, Average Loss  1.447858, Time  0.439165
2021-09-24 12:17:07.303783 : Epoch  6, Batch    576, Loss  1.445837, Average Loss  1.447810, Time  0.438618
2021-09-24 12:17:13.228987 : Epoch  6, Batch    577, Loss  1.455547, Average Loss  1.447890, Time  0.439218
2021-09-24 12:17:19.176633 : Epoch  6, Batch    578, Loss  1.443459, Average Loss  1.447888, Time  0.451923
2021-09-24 12:17:25.108429 : Epoch  6, Batch    579, Loss  1.464732, Average Loss  1.447919, Time  0.440679
2021-09-24 12:17:31.032778 : Epoch  6, Batch    580, Loss  1.442501, Average Loss  1.447841, Time  0.439960
2021-09-24 12:17:36.988325 : Epoch  6, Batch    581, Loss  1.448547, Average Loss  1.447816, Time  0.440511
2021-09-24 12:17:42.913920 : Epoch  6, Batch    582, Loss  1.434502, Average Loss  1.447770, Time  0.438676
2021-09-24 12:17:48.872442 : Epoch  6, Batch    583, Loss  1.444331, Average Loss  1.447709, Time  0.453578
2021-09-24 12:17:54.808480 : Epoch  6, Batch    584, Loss  1.447620, Average Loss  1.447731, Time  0.438769
2021-09-24 12:18:00.746831 : Epoch  6, Batch    585, Loss  1.465256, Average Loss  1.447855, Time  0.450145
2021-09-24 12:18:06.689356 : Epoch  6, Batch    586, Loss  1.459358, Average Loss  1.447906, Time  0.439656
2021-09-24 12:18:12.631122 : Epoch  6, Batch    587, Loss  1.461110, Average Loss  1.447935, Time  0.442946
2021-09-24 12:18:18.558362 : Epoch  6, Batch    588, Loss  1.441873, Average Loss  1.447905, Time  0.439308
2021-09-24 12:18:24.503686 : Epoch  6, Batch    589, Loss  1.450956, Average Loss  1.447930, Time  0.443450
2021-09-24 12:18:30.435060 : Epoch  6, Batch    590, Loss  1.457348, Average Loss  1.447997, Time  0.439960
2021-09-24 12:18:36.384382 : Epoch  6, Batch    591, Loss  1.445475, Average Loss  1.447958, Time  0.439706
2021-09-24 12:18:42.305480 : Epoch  6, Batch    592, Loss  1.437679, Average Loss  1.447848, Time  0.440073
2021-09-24 12:18:48.255588 : Epoch  6, Batch    593, Loss  1.446192, Average Loss  1.447849, Time  0.448702
2021-09-24 12:18:54.189028 : Epoch  6, Batch    594, Loss  1.455039, Average Loss  1.447873, Time  0.440855
2021-09-24 12:19:00.106346 : Epoch  6, Batch    595, Loss  1.443294, Average Loss  1.447816, Time  0.441989
2021-09-24 12:19:06.047781 : Epoch  6, Batch    596, Loss  1.456952, Average Loss  1.447878, Time  0.440153
2021-09-24 12:19:11.971041 : Epoch  6, Batch    597, Loss  1.449970, Average Loss  1.447961, Time  0.440052
2021-09-24 12:19:17.938764 : Epoch  6, Batch    598, Loss  1.437347, Average Loss  1.447912, Time  0.442867
2021-09-24 12:19:23.877772 : Epoch  6, Batch    599, Loss  1.448269, Average Loss  1.447911, Time  0.439269
2021-09-24 12:19:29.795677 : Epoch  6, Batch    600, Loss  1.433537, Average Loss  1.447801, Time  0.439562
2021-09-24 12:19:35.732542 : Epoch  6, Batch    601, Loss  1.442734, Average Loss  1.447687, Time  0.448769
2021-09-24 12:19:41.663863 : Epoch  6, Batch    602, Loss  1.453784, Average Loss  1.447712, Time  0.438980
2021-09-24 12:19:47.594506 : Epoch  6, Batch    603, Loss  1.445487, Average Loss  1.447719, Time  0.440172
2021-09-24 12:19:53.525941 : Epoch  6, Batch    604, Loss  1.458327, Average Loss  1.447838, Time  0.441457
2021-09-24 12:19:59.456146 : Epoch  6, Batch    605, Loss  1.454068, Average Loss  1.447842, Time  0.439463
2021-09-24 12:20:05.398472 : Epoch  6, Batch    606, Loss  1.446733, Average Loss  1.447812, Time  0.441730
2021-09-24 12:20:11.329165 : Epoch  6, Batch    607, Loss  1.458277, Average Loss  1.447812, Time  0.440322
2021-09-24 12:20:17.261446 : Epoch  6, Batch    608, Loss  1.455183, Average Loss  1.447834, Time  0.439207
2021-09-24 12:20:23.176724 : Epoch  6, Batch    609, Loss  1.464370, Average Loss  1.447866, Time  0.447001
2021-09-24 12:20:29.093281 : Epoch  6, Batch    610, Loss  1.442682, Average Loss  1.447826, Time  0.439133
2021-09-24 12:20:35.033332 : Epoch  6, Batch    611, Loss  1.448539, Average Loss  1.447858, Time  0.440942
2021-09-24 12:20:39.024697 : CheckPoint: Validation Loss  0.00025364, Best Loss  0.00024587
2021-09-24 12:20:40.971245 : Epoch  6, Batch    612, Loss  1.446303, Average Loss  1.447847, Time  0.439859
2021-09-24 12:20:44.959744 : Epoch  6, Batch    561, Loss  1.450030, Average Loss  1.447584, Time  0.444120
2021-09-24 12:20:46.898275 : Epoch  6, Batch    613, Loss  1.448746, Average Loss  1.447792, Time  0.441657
2021-09-24 12:20:50.917060 : Epoch  6, Batch    562, Loss  1.455572, Average Loss  1.447605, Time  0.452066
2021-09-24 12:20:52.833284 : Epoch  6, Batch    614, Loss  1.442988, Average Loss  1.447732, Time  0.439002
2021-09-24 12:20:56.849577 : Epoch  6, Batch    563, Loss  1.453491, Average Loss  1.447639, Time  0.445133
2021-09-24 12:20:58.748217 : Epoch  6, Batch    615, Loss  1.460193, Average Loss  1.447825, Time  0.441052
2021-09-24 12:21:02.775741 : Epoch  6, Batch    564, Loss  1.460234, Average Loss  1.447681, Time  0.445589
2021-09-24 12:21:04.692011 : Epoch  6, Batch    616, Loss  1.436470, Average Loss  1.447718, Time  0.458178
2021-09-24 12:21:08.725421 : Epoch  6, Batch    565, Loss  1.439948, Average Loss  1.447711, Time  0.443449
2021-09-24 12:21:10.641799 : Epoch  6, Batch    617, Loss  1.437643, Average Loss  1.447720, Time  0.438998
2021-09-24 12:21:14.681993 : Epoch  6, Batch    566, Loss  1.443363, Average Loss  1.447704, Time  0.444299
2021-09-24 12:21:16.580127 : Epoch  6, Batch    618, Loss  1.452464, Average Loss  1.447768, Time  0.441930
2021-09-24 12:21:20.666746 : Epoch  6, Batch    567, Loss  1.447276, Average Loss  1.447800, Time  0.459229
2021-09-24 12:21:22.522136 : Epoch  6, Batch    619, Loss  1.448310, Average Loss  1.447800, Time  0.438694
2021-09-24 12:21:26.599197 : Epoch  6, Batch    568, Loss  1.455846, Average Loss  1.447831, Time  0.443921
2021-09-24 12:21:28.444832 : Epoch  6, Batch    620, Loss  1.463169, Average Loss  1.447845, Time  0.439664
2021-09-24 12:21:32.552423 : Epoch  6, Batch    569, Loss  1.449551, Average Loss  1.447829, Time  0.443392
2021-09-24 12:21:34.378757 : Epoch  6, Batch    621, Loss  1.453585, Average Loss  1.447891, Time  0.439498
2021-09-24 12:21:38.494793 : Epoch  6, Batch    570, Loss  1.446645, Average Loss  1.447873, Time  0.445757
2021-09-24 12:21:40.294372 : Epoch  6, Batch    622, Loss  1.459426, Average Loss  1.447963, Time  0.438883
2021-09-24 12:21:44.432926 : Epoch  6, Batch    571, Loss  1.435417, Average Loss  1.447816, Time  0.443295
2021-09-24 12:21:46.221404 : Epoch  6, Batch    623, Loss  1.457407, Average Loss  1.448035, Time  0.439991
2021-09-24 12:21:50.367782 : Epoch  6, Batch    572, Loss  1.448395, Average Loss  1.447803, Time  0.445722
2021-09-24 12:21:52.176100 : Epoch  6, Batch    624, Loss  1.430091, Average Loss  1.447934, Time  0.453049
2021-09-24 12:21:56.313369 : Epoch  6, Batch    573, Loss  1.438624, Average Loss  1.447746, Time  0.444498
2021-09-24 12:21:58.121473 : Epoch  6, Batch    625, Loss  1.447714, Average Loss  1.447888, Time  0.440291
2021-09-24 12:22:02.231321 : Epoch  6, Batch    574, Loss  1.454360, Average Loss  1.447755, Time  0.444742
2021-09-24 12:22:04.045175 : Epoch  6, Batch    626, Loss  1.447596, Average Loss  1.447842, Time  0.441689
2021-09-24 12:22:08.189179 : Epoch  6, Batch    575, Loss  1.451066, Average Loss  1.447815, Time  0.455752
2021-09-24 12:22:09.988896 : Epoch  6, Batch    627, Loss  1.460115, Average Loss  1.447927, Time  0.439399
2021-09-24 12:22:14.135063 : Epoch  6, Batch    576, Loss  1.441822, Average Loss  1.447775, Time  0.446563
2021-09-24 12:22:15.932559 : Epoch  6, Batch    628, Loss  1.442488, Average Loss  1.447955, Time  0.440207
2021-09-24 12:22:20.083871 : Epoch  6, Batch    577, Loss  1.451820, Average Loss  1.447747, Time  0.443801
2021-09-24 12:22:21.866755 : Epoch  6, Batch    629, Loss  1.439262, Average Loss  1.447909, Time  0.440011
2021-09-24 12:22:26.039824 : Epoch  6, Batch    578, Loss  1.455067, Average Loss  1.447838, Time  0.443873
2021-09-24 12:22:27.811790 : Epoch  6, Batch    630, Loss  1.432414, Average Loss  1.447894, Time  0.439286
2021-09-24 12:22:32.012571 : Epoch  6, Batch    579, Loss  1.446124, Average Loss  1.447757, Time  0.444489
2021-09-24 12:22:33.745812 : Epoch  6, Batch    631, Loss  1.446134, Average Loss  1.447911, Time  0.439886
2021-09-24 12:22:37.948897 : Epoch  6, Batch    580, Loss  1.451959, Average Loss  1.447826, Time  0.445919
2021-09-24 12:22:39.693435 : Epoch  6, Batch    632, Loss  1.447376, Average Loss  1.447877, Time  0.449333
2021-09-24 12:22:43.891143 : Epoch  6, Batch    581, Loss  1.450386, Average Loss  1.447794, Time  0.444741
2021-09-24 12:22:45.616327 : Epoch  6, Batch    633, Loss  1.444167, Average Loss  1.447797, Time  0.439378
2021-09-24 12:22:49.829742 : Epoch  6, Batch    582, Loss  1.446106, Average Loss  1.447784, Time  0.444773
2021-09-24 12:22:51.546340 : Epoch  6, Batch    634, Loss  1.449918, Average Loss  1.447834, Time  0.439718
2021-09-24 12:22:55.778853 : Epoch  6, Batch    583, Loss  1.441581, Average Loss  1.447805, Time  0.459380
2021-09-24 12:22:57.479738 : Epoch  6, Batch    635, Loss  1.460629, Average Loss  1.447815, Time  0.442821
2021-09-24 12:23:01.724967 : Epoch  6, Batch    584, Loss  1.452489, Average Loss  1.447829, Time  0.443765
2021-09-24 12:23:03.417710 : Epoch  6, Batch    636, Loss  1.446972, Average Loss  1.447832, Time  0.441986
2021-09-24 12:23:07.662369 : Epoch  6, Batch    585, Loss  1.448635, Average Loss  1.447858, Time  0.443945
2021-09-24 12:23:09.361651 : Epoch  6, Batch    637, Loss  1.455082, Average Loss  1.447885, Time  0.441868
2021-09-24 12:23:13.599512 : Epoch  6, Batch    586, Loss  1.448519, Average Loss  1.447838, Time  0.443809
2021-09-24 12:23:15.295480 : Epoch  6, Batch    638, Loss  1.450622, Average Loss  1.447810, Time  0.439307
2021-09-24 12:23:19.535965 : Epoch  6, Batch    587, Loss  1.444107, Average Loss  1.447835, Time  0.445017
2021-09-24 12:23:21.231041 : Epoch  6, Batch    639, Loss  1.448769, Average Loss  1.447795, Time  0.438807
2021-09-24 12:23:25.469243 : Epoch  6, Batch    588, Loss  1.446421, Average Loss  1.447819, Time  0.445050
2021-09-24 12:23:27.175799 : Epoch  6, Batch    640, Loss  1.452143, Average Loss  1.447846, Time  0.445504
2021-09-24 12:23:31.407429 : Epoch  6, Batch    589, Loss  1.450521, Average Loss  1.447837, Time  0.443992
2021-09-24 12:23:33.121563 : Epoch  6, Batch    641, Loss  1.444762, Average Loss  1.447809, Time  0.439689
2021-09-24 12:23:37.377789 : Epoch  6, Batch    590, Loss  1.459427, Average Loss  1.447934, Time  0.445299
2021-09-24 12:23:39.065407 : Epoch  6, Batch    642, Loss  1.452901, Average Loss  1.447899, Time  0.439052
2021-09-24 12:23:43.351619 : Epoch  6, Batch    591, Loss  1.464155, Average Loss  1.448024, Time  0.460025
2021-09-24 12:23:44.998909 : Epoch  6, Batch    643, Loss  1.454953, Average Loss  1.447937, Time  0.438881
2021-09-24 12:23:49.295306 : Epoch  6, Batch    592, Loss  1.448131, Average Loss  1.448015, Time  0.443879
2021-09-24 12:23:50.930698 : Epoch  6, Batch    644, Loss  1.440422, Average Loss  1.447833, Time  0.438941
2021-09-24 12:23:55.229244 : Epoch  6, Batch    593, Loss  1.450197, Average Loss  1.448038, Time  0.443533
2021-09-24 12:23:56.862347 : Epoch  6, Batch    645, Loss  1.444539, Average Loss  1.447827, Time  0.439102
2021-09-24 12:24:01.163440 : Epoch  6, Batch    594, Loss  1.447058, Average Loss  1.447989, Time  0.444285
2021-09-24 12:24:02.780535 : Epoch  6, Batch    646, Loss  1.450199, Average Loss  1.447803, Time  0.438868
2021-09-24 12:24:07.140625 : Epoch  6, Batch    595, Loss  1.432577, Average Loss  1.447934, Time  0.454776
2021-09-24 12:24:08.738093 : Epoch  6, Batch    647, Loss  1.452687, Average Loss  1.447828, Time  0.449796
2021-09-24 12:24:13.077492 : Epoch  6, Batch    596, Loss  1.457544, Average Loss  1.448015, Time  0.443583
2021-09-24 12:24:14.666494 : Epoch  6, Batch    648, Loss  1.450016, Average Loss  1.447769, Time  0.439324
2021-09-24 12:24:19.012496 : Epoch  6, Batch    597, Loss  1.443549, Average Loss  1.448019, Time  0.443818
2021-09-24 12:24:20.591512 : Epoch  6, Batch    649, Loss  1.449936, Average Loss  1.447786, Time  0.440612
2021-09-24 12:24:24.953529 : Epoch  6, Batch    598, Loss  1.450037, Average Loss  1.447987, Time  0.443632
2021-09-24 12:24:26.521846 : Epoch  6, Batch    650, Loss  1.445879, Average Loss  1.447748, Time  0.439032
2021-09-24 12:24:30.906782 : Epoch  6, Batch    599, Loss  1.448462, Average Loss  1.447959, Time  0.456611
2021-09-24 12:24:32.457205 : Epoch  6, Batch    651, Loss  1.453198, Average Loss  1.447752, Time  0.440754
2021-09-24 12:24:36.857286 : Epoch  6, Batch    600, Loss  1.444971, Average Loss  1.447959, Time  0.444652
2021-09-24 12:24:38.394499 : Epoch  6, Batch    652, Loss  1.434729, Average Loss  1.447689, Time  0.440850
2021-09-24 12:24:42.826496 : Epoch  6, Batch    601, Loss  1.454361, Average Loss  1.448020, Time  0.446445
2021-09-24 12:24:44.322659 : Epoch  6, Batch    653, Loss  1.450306, Average Loss  1.447732, Time  0.439322
2021-09-24 12:24:48.767051 : Epoch  6, Batch    602, Loss  1.444344, Average Loss  1.447982, Time  0.443923
2021-09-24 12:24:50.240687 : Epoch  6, Batch    654, Loss  1.451318, Average Loss  1.447699, Time  0.439963
2021-09-24 12:24:54.713178 : Epoch  6, Batch    603, Loss  1.441694, Average Loss  1.447951, Time  0.444932
2021-09-24 12:24:56.178331 : Epoch  6, Batch    655, Loss  1.444723, Average Loss  1.447665, Time  0.452131
2021-09-24 12:25:00.653194 : Epoch  6, Batch    604, Loss  1.460240, Average Loss  1.448064, Time  0.444157
2021-09-24 12:25:02.125418 : Epoch  6, Batch    656, Loss  1.444564, Average Loss  1.447648, Time  0.439323
2021-09-24 12:25:06.593353 : Epoch  6, Batch    605, Loss  1.446070, Average Loss  1.448124, Time  0.450188
2021-09-24 12:25:08.045078 : Epoch  6, Batch    657, Loss  1.451163, Average Loss  1.447671, Time  0.440912
2021-09-24 12:25:12.553890 : Epoch  6, Batch    606, Loss  1.450478, Average Loss  1.448185, Time  0.444105
2021-09-24 12:25:13.969425 : Epoch  6, Batch    658, Loss  1.448174, Average Loss  1.447690, Time  0.438664
2021-09-24 12:25:18.505293 : Epoch  6, Batch    607, Loss  1.458796, Average Loss  1.448279, Time  0.463959
2021-09-24 12:25:19.905502 : Epoch  6, Batch    659, Loss  1.431266, Average Loss  1.447679, Time  0.439634
2021-09-24 12:25:24.445577 : Epoch  6, Batch    608, Loss  1.442360, Average Loss  1.448223, Time  0.443307
2021-09-24 12:25:25.838670 : Epoch  6, Batch    660, Loss  1.444283, Average Loss  1.447677, Time  0.441802
2021-09-24 12:25:30.407206 : Epoch  6, Batch    609, Loss  1.449371, Average Loss  1.448199, Time  0.444602
2021-09-24 12:25:36.347064 : Epoch  6, Batch    610, Loss  1.456027, Average Loss  1.448270, Time  0.443513
2021-09-24 12:25:42.290648 : Epoch  6, Batch    611, Loss  1.445486, Average Loss  1.448254, Time  0.446435
2021-09-24 12:25:48.257883 : Epoch  6, Batch    612, Loss  1.447383, Average Loss  1.448245, Time  0.445486
2021-09-24 12:25:54.187832 : Epoch  6, Batch    613, Loss  1.439765, Average Loss  1.448213, Time  0.443671
2021-09-24 12:26:00.133994 : Epoch  6, Batch    614, Loss  1.434832, Average Loss  1.448159, Time  0.456497
2021-09-24 12:26:06.077998 : Epoch  6, Batch    615, Loss  1.454869, Average Loss  1.448190, Time  0.447872
2021-09-24 12:26:12.011606 : Epoch  6, Batch    616, Loss  1.451447, Average Loss  1.448152, Time  0.445116
2021-09-24 12:26:17.981750 : Epoch  6, Batch    617, Loss  1.436683, Average Loss  1.448094, Time  0.448277
2021-09-24 12:26:23.938707 : Epoch  6, Batch    618, Loss  1.448876, Average Loss  1.448147, Time  0.443832
2021-09-24 12:26:29.880685 : Epoch  6, Batch    619, Loss  1.448590, Average Loss  1.448126, Time  0.447509
2021-09-24 12:26:35.816325 : Epoch  6, Batch    620, Loss  1.444902, Average Loss  1.448053, Time  0.444343
2021-09-24 12:26:41.747630 : Epoch  6, Batch    621, Loss  1.452734, Average Loss  1.448086, Time  0.445785
2021-09-24 12:26:47.682281 : Epoch  6, Batch    622, Loss  1.429916, Average Loss  1.448064, Time  0.459613
2021-09-24 12:26:53.653729 : Epoch  6, Batch    623, Loss  1.451605, Average Loss  1.448124, Time  0.444558
2021-09-24 12:26:59.596087 : Epoch  6, Batch    624, Loss  1.435610, Average Loss  1.448043, Time  0.460241
2021-09-24 12:27:05.522796 : Epoch  6, Batch    625, Loss  1.442022, Average Loss  1.448038, Time  0.444457
2021-09-24 12:27:11.473552 : Epoch  6, Batch    626, Loss  1.454448, Average Loss  1.448073, Time  0.446178
2021-09-24 12:27:17.414011 : Epoch  6, Batch    627, Loss  1.460957, Average Loss  1.448111, Time  0.447680
2021-09-24 12:27:23.344679 : Epoch  6, Batch    628, Loss  1.444687, Average Loss  1.448139, Time  0.443673
2021-09-24 12:27:29.292590 : Epoch  6, Batch    629, Loss  1.443541, Average Loss  1.448130, Time  0.444043
2021-09-24 12:27:35.238422 : Epoch  6, Batch    630, Loss  1.453632, Average Loss  1.448237, Time  0.455338
2021-09-24 12:27:41.171822 : Epoch  6, Batch    631, Loss  1.461893, Average Loss  1.448373, Time  0.444981
2021-09-24 12:27:47.105282 : Epoch  6, Batch    632, Loss  1.441770, Average Loss  1.448306, Time  0.444688
2021-09-24 12:27:53.037882 : Epoch  6, Batch    633, Loss  1.426846, Average Loss  1.448197, Time  0.443483
2021-09-24 12:27:58.998206 : Epoch  6, Batch    634, Loss  1.454852, Average Loss  1.448264, Time  0.444215
2021-09-24 12:28:04.929052 : Epoch  6, Batch    635, Loss  1.441225, Average Loss  1.448149, Time  0.446987
2021-09-24 12:28:10.869126 : Epoch  6, Batch    636, Loss  1.437914, Average Loss  1.448095, Time  0.446727
2021-09-24 12:28:16.804286 : Epoch  6, Batch    637, Loss  1.442763, Average Loss  1.448023, Time  0.444174
2021-09-24 12:28:22.754999 : Epoch  6, Batch    638, Loss  1.456532, Average Loss  1.448020, Time  0.451887
2021-09-24 12:28:28.710896 : Epoch  6, Batch    639, Loss  1.439045, Average Loss  1.448005, Time  0.445847
2021-09-24 12:28:34.664833 : Epoch  6, Batch    640, Loss  1.447804, Average Loss  1.448002, Time  0.445266
2021-09-24 12:28:40.601137 : Epoch  6, Batch    641, Loss  1.451530, Average Loss  1.448003, Time  0.444772
2021-09-24 12:28:46.548439 : Epoch  6, Batch    642, Loss  1.451155, Average Loss  1.448017, Time  0.444770
2021-09-24 12:28:52.480281 : Epoch  6, Batch    643, Loss  1.446048, Average Loss  1.447993, Time  0.446071
2021-09-24 12:28:58.417602 : Epoch  6, Batch    644, Loss  1.445783, Average Loss  1.448009, Time  0.450688
2021-09-24 12:29:04.396178 : Epoch  6, Batch    645, Loss  1.447080, Average Loss  1.447982, Time  0.448891
2021-09-24 12:29:10.351449 : Epoch  6, Batch    646, Loss  1.459244, Average Loss  1.448063, Time  0.455994
2021-09-24 12:29:16.293925 : Epoch  6, Batch    647, Loss  1.451390, Average Loss  1.448038, Time  0.444258
2021-09-24 12:29:22.232396 : Epoch  6, Batch    648, Loss  1.455536, Average Loss  1.448058, Time  0.444725
2021-09-24 12:29:28.178577 : Epoch  6, Batch    649, Loss  1.449359, Average Loss  1.448110, Time  0.445621
2021-09-24 12:29:34.118609 : Epoch  6, Batch    650, Loss  1.458787, Average Loss  1.448081, Time  0.445951
2021-09-24 12:29:40.094822 : Epoch  6, Batch    651, Loss  1.469392, Average Loss  1.448171, Time  0.445049
2021-09-24 12:29:46.029895 : Epoch  6, Batch    652, Loss  1.449005, Average Loss  1.448211, Time  0.444609
2021-09-24 12:29:51.960753 : Epoch  6, Batch    653, Loss  1.441805, Average Loss  1.448187, Time  0.443614
2021-09-24 12:29:57.908952 : Epoch  6, Batch    654, Loss  1.450214, Average Loss  1.448257, Time  0.457951
2021-09-24 12:30:03.034836 : CheckPoint: Validation Loss  0.00025124, Best Loss  0.00024726
2021-09-24 12:30:03.847609 : Epoch  6, Batch    655, Loss  1.443263, Average Loss  1.448242, Time  0.443347
2021-09-24 12:30:08.939846 : Epoch  6, Batch    661, Loss  1.439950, Average Loss  1.447638, Time  0.439729
2021-09-24 12:30:09.798864 : Epoch  6, Batch    656, Loss  1.447689, Average Loss  1.448298, Time  0.450394
2021-09-24 12:30:14.868776 : Epoch  6, Batch    662, Loss  1.442086, Average Loss  1.447576, Time  0.438915
2021-09-24 12:30:15.749505 : Epoch  6, Batch    657, Loss  1.447507, Average Loss  1.448281, Time  0.444146
2021-09-24 12:30:20.796633 : Epoch  6, Batch    663, Loss  1.452303, Average Loss  1.447556, Time  0.445566
2021-09-24 12:30:21.678639 : Epoch  6, Batch    658, Loss  1.457771, Average Loss  1.448394, Time  0.445655
2021-09-24 12:30:26.725717 : Epoch  6, Batch    664, Loss  1.441977, Average Loss  1.447471, Time  0.440223
2021-09-24 12:30:27.615793 : Epoch  6, Batch    659, Loss  1.447212, Average Loss  1.448465, Time  0.444905
2021-09-24 12:30:32.659424 : Epoch  6, Batch    665, Loss  1.451932, Average Loss  1.447480, Time  0.439334
2021-09-24 12:30:33.547755 : Epoch  6, Batch    660, Loss  1.446072, Average Loss  1.448433, Time  0.444181
2021-09-24 12:30:38.626274 : Epoch  6, Batch    666, Loss  1.445377, Average Loss  1.447448, Time  0.444282
2021-09-24 12:30:44.568200 : Epoch  6, Batch    667, Loss  1.444903, Average Loss  1.447463, Time  0.440601
2021-09-24 12:30:50.522488 : Epoch  6, Batch    668, Loss  1.454685, Average Loss  1.447480, Time  0.447295
2021-09-24 12:30:56.485787 : Epoch  6, Batch    669, Loss  1.458949, Average Loss  1.447581, Time  0.443030
2021-09-24 12:31:02.420830 : Epoch  6, Batch    670, Loss  1.456800, Average Loss  1.447622, Time  0.440949
2021-09-24 12:31:08.353483 : Epoch  6, Batch    671, Loss  1.444631, Average Loss  1.447667, Time  0.455868
2021-09-24 12:31:14.275508 : Epoch  6, Batch    672, Loss  1.459705, Average Loss  1.447734, Time  0.443062
2021-09-24 12:31:20.212665 : Epoch  6, Batch    673, Loss  1.445459, Average Loss  1.447762, Time  0.439372
2021-09-24 12:31:26.153818 : Epoch  6, Batch    674, Loss  1.443539, Average Loss  1.447723, Time  0.438943
2021-09-24 12:31:32.080621 : Epoch  6, Batch    675, Loss  1.441897, Average Loss  1.447719, Time  0.438372
2021-09-24 12:31:38.018062 : Epoch  6, Batch    676, Loss  1.456138, Average Loss  1.447728, Time  0.439101
2021-09-24 12:31:43.950601 : Epoch  6, Batch    677, Loss  1.434148, Average Loss  1.447628, Time  0.444936
2021-09-24 12:31:49.894040 : Epoch  6, Batch    678, Loss  1.439464, Average Loss  1.447554, Time  0.446937
2021-09-24 12:31:55.826535 : Epoch  6, Batch    679, Loss  1.448949, Average Loss  1.447607, Time  0.450156
2021-09-24 12:32:01.758789 : Epoch  6, Batch    680, Loss  1.451757, Average Loss  1.447594, Time  0.439203
2021-09-24 12:32:07.700252 : Epoch  6, Batch    681, Loss  1.458432, Average Loss  1.447675, Time  0.438687
2021-09-24 12:32:13.634266 : Epoch  6, Batch    682, Loss  1.448793, Average Loss  1.447679, Time  0.441585
2021-09-24 12:32:19.563314 : Epoch  6, Batch    683, Loss  1.456020, Average Loss  1.447688, Time  0.439044
2021-09-24 12:32:25.512473 : Epoch  6, Batch    684, Loss  1.448764, Average Loss  1.447712, Time  0.440003
2021-09-24 12:32:31.465060 : Epoch  6, Batch    685, Loss  1.460560, Average Loss  1.447799, Time  0.440339
2021-09-24 12:32:37.371112 : Epoch  6, Batch    686, Loss  1.449227, Average Loss  1.447853, Time  0.442768
2021-09-24 12:32:43.299327 : Epoch  6, Batch    687, Loss  1.450320, Average Loss  1.447933, Time  0.450705
2021-09-24 12:32:49.259999 : Epoch  6, Batch    688, Loss  1.450593, Average Loss  1.447977, Time  0.442770
2021-09-24 12:32:55.205521 : Epoch  6, Batch    689, Loss  1.450990, Average Loss  1.448027, Time  0.443221
2021-09-24 12:33:01.151813 : Epoch  6, Batch    690, Loss  1.450839, Average Loss  1.448053, Time  0.442430
2021-09-24 12:33:07.096983 : Epoch  6, Batch    691, Loss  1.452545, Average Loss  1.448024, Time  0.439180
2021-09-24 12:33:13.047033 : Epoch  6, Batch    692, Loss  1.439431, Average Loss  1.447999, Time  0.451375
2021-09-24 12:33:18.985921 : Epoch  6, Batch    693, Loss  1.437355, Average Loss  1.447933, Time  0.447152
2021-09-24 12:33:24.929851 : Epoch  6, Batch    694, Loss  1.454082, Average Loss  1.448020, Time  0.454982
2021-09-24 12:33:30.868770 : Epoch  6, Batch    695, Loss  1.452042, Average Loss  1.448023, Time  0.440125
2021-09-24 12:33:36.807978 : Epoch  6, Batch    696, Loss  1.444760, Average Loss  1.448017, Time  0.444675
2021-09-24 12:33:42.748262 : Epoch  6, Batch    697, Loss  1.437011, Average Loss  1.448022, Time  0.444295
2021-09-24 12:33:48.672290 : Epoch  6, Batch    698, Loss  1.453259, Average Loss  1.448076, Time  0.441063
2021-09-24 12:33:54.621135 : Epoch  6, Batch    699, Loss  1.437011, Average Loss  1.447995, Time  0.441151
2021-09-24 12:34:00.531872 : Epoch  6, Batch    700, Loss  1.437744, Average Loss  1.447969, Time  0.439329
2021-09-24 12:34:06.463178 : Epoch  6, Batch    701, Loss  1.432819, Average Loss  1.447877, Time  0.440917
2021-09-24 12:34:12.385161 : Epoch  6, Batch    702, Loss  1.441992, Average Loss  1.447810, Time  0.449163
2021-09-24 12:34:18.319892 : Epoch  6, Batch    703, Loss  1.448316, Average Loss  1.447811, Time  0.438912
2021-09-24 12:34:24.255600 : Epoch  6, Batch    704, Loss  1.443675, Average Loss  1.447818, Time  0.439090
2021-09-24 12:34:30.199814 : Epoch  6, Batch    705, Loss  1.459844, Average Loss  1.447872, Time  0.447019
2021-09-24 12:34:36.143082 : Epoch  6, Batch    706, Loss  1.451809, Average Loss  1.447853, Time  0.439426
2021-09-24 12:34:42.077071 : Epoch  6, Batch    707, Loss  1.440410, Average Loss  1.447764, Time  0.439227
2021-09-24 12:34:48.013660 : Epoch  6, Batch    708, Loss  1.446074, Average Loss  1.447756, Time  0.439023
2021-09-24 12:34:53.947971 : Epoch  6, Batch    709, Loss  1.430155, Average Loss  1.447660, Time  0.439387
2021-09-24 12:34:59.913709 : Epoch  6, Batch    710, Loss  1.444330, Average Loss  1.447649, Time  0.446951
2021-09-24 12:35:05.838678 : Epoch  6, Batch    711, Loss  1.451000, Average Loss  1.447645, Time  0.439780
2021-09-24 12:35:11.792502 : Epoch  6, Batch    712, Loss  1.439227, Average Loss  1.447600, Time  0.440263
2021-09-24 12:35:12.192032 : CheckPoint: Validation Loss  0.00024861, Best Loss  0.00024587
2021-09-24 12:35:17.723285 : Epoch  6, Batch    713, Loss  1.447510, Average Loss  1.447577, Time  0.438846
2021-09-24 12:35:18.131570 : Epoch  6, Batch    661, Loss  1.439705, Average Loss  1.448349, Time  0.456137
2021-09-24 12:35:23.657994 : Epoch  6, Batch    714, Loss  1.453047, Average Loss  1.447604, Time  0.440556
2021-09-24 12:35:24.061848 : Epoch  6, Batch    662, Loss  1.462163, Average Loss  1.448402, Time  0.445583
2021-09-24 12:35:29.604769 : Epoch  6, Batch    715, Loss  1.437873, Average Loss  1.447554, Time  0.439402
2021-09-24 12:35:30.004772 : Epoch  6, Batch    663, Loss  1.449150, Average Loss  1.448365, Time  0.443893
2021-09-24 12:35:35.517451 : Epoch  6, Batch    716, Loss  1.454546, Average Loss  1.447549, Time  0.439742
2021-09-24 12:35:35.923818 : Epoch  6, Batch    664, Loss  1.434191, Average Loss  1.448304, Time  0.444021
2021-09-24 12:35:41.444021 : Epoch  6, Batch    717, Loss  1.440251, Average Loss  1.447492, Time  0.439878
2021-09-24 12:35:41.876708 : Epoch  6, Batch    665, Loss  1.455968, Average Loss  1.448357, Time  0.446476
2021-09-24 12:35:47.373187 : Epoch  6, Batch    718, Loss  1.456049, Average Loss  1.447583, Time  0.448474
2021-09-24 12:35:47.812493 : Epoch  6, Batch    666, Loss  1.443146, Average Loss  1.448345, Time  0.444832
2021-09-24 12:35:53.292687 : Epoch  6, Batch    719, Loss  1.445795, Average Loss  1.447552, Time  0.438665
2021-09-24 12:35:53.761955 : Epoch  6, Batch    667, Loss  1.447598, Average Loss  1.448358, Time  0.443629
2021-09-24 12:35:59.232406 : Epoch  6, Batch    720, Loss  1.461142, Average Loss  1.447631, Time  0.439450
2021-09-24 12:35:59.699804 : Epoch  6, Batch    668, Loss  1.451285, Average Loss  1.448387, Time  0.447663
2021-09-24 12:36:05.185425 : Epoch  6, Batch    721, Loss  1.451066, Average Loss  1.447674, Time  0.439827
2021-09-24 12:36:05.645823 : Epoch  6, Batch    669, Loss  1.449695, Average Loss  1.448391, Time  0.454025
2021-09-24 12:36:11.127495 : Epoch  6, Batch    722, Loss  1.451790, Average Loss  1.447647, Time  0.439615
2021-09-24 12:36:11.569620 : Epoch  6, Batch    670, Loss  1.454761, Average Loss  1.448499, Time  0.446224
2021-09-24 12:36:17.064775 : Epoch  6, Batch    723, Loss  1.440419, Average Loss  1.447629, Time  0.441649
2021-09-24 12:36:17.516184 : Epoch  6, Batch    671, Loss  1.441875, Average Loss  1.448517, Time  0.444529
2021-09-24 12:36:22.980960 : Epoch  6, Batch    724, Loss  1.451554, Average Loss  1.447691, Time  0.438874
2021-09-24 12:36:23.440397 : Epoch  6, Batch    672, Loss  1.442897, Average Loss  1.448525, Time  0.443632
2021-09-24 12:36:28.937007 : Epoch  6, Batch    725, Loss  1.449011, Average Loss  1.447702, Time  0.440676
2021-09-24 12:36:29.375367 : Epoch  6, Batch    673, Loss  1.454098, Average Loss  1.448535, Time  0.444110
2021-09-24 12:36:34.860856 : Epoch  6, Batch    726, Loss  1.443907, Average Loss  1.447716, Time  0.455271
2021-09-24 12:36:35.310301 : Epoch  6, Batch    674, Loss  1.443024, Average Loss  1.448500, Time  0.448803
2021-09-24 12:36:40.772170 : Epoch  6, Batch    727, Loss  1.455163, Average Loss  1.447797, Time  0.440219
2021-09-24 12:36:41.238910 : Epoch  6, Batch    675, Loss  1.434588, Average Loss  1.448387, Time  0.444535
2021-09-24 12:36:46.712851 : Epoch  6, Batch    728, Loss  1.458230, Average Loss  1.447874, Time  0.443446
2021-09-24 12:36:47.192926 : Epoch  6, Batch    676, Loss  1.467892, Average Loss  1.448479, Time  0.444582
2021-09-24 12:36:52.660140 : Epoch  6, Batch    729, Loss  1.439983, Average Loss  1.447883, Time  0.439778
2021-09-24 12:36:53.143835 : Epoch  6, Batch    677, Loss  1.462174, Average Loss  1.448632, Time  0.462145
2021-09-24 12:36:58.580836 : Epoch  6, Batch    730, Loss  1.457207, Average Loss  1.447898, Time  0.440170
2021-09-24 12:36:59.074976 : Epoch  6, Batch    678, Loss  1.464033, Average Loss  1.448721, Time  0.446284
2021-09-24 12:37:04.515690 : Epoch  6, Batch    731, Loss  1.443144, Average Loss  1.447873, Time  0.444820
2021-09-24 12:37:05.016897 : Epoch  6, Batch    679, Loss  1.446999, Average Loss  1.448746, Time  0.444513
2021-09-24 12:37:10.446591 : Epoch  6, Batch    732, Loss  1.436944, Average Loss  1.447844, Time  0.439232
2021-09-24 12:37:10.947483 : Epoch  6, Batch    680, Loss  1.452548, Average Loss  1.448769, Time  0.444165
2021-09-24 12:37:16.373461 : Epoch  6, Batch    733, Loss  1.451854, Average Loss  1.447809, Time  0.441171
2021-09-24 12:37:16.869893 : Epoch  6, Batch    681, Loss  1.454368, Average Loss  1.448870, Time  0.447855
2021-09-24 12:37:22.295872 : Epoch  6, Batch    734, Loss  1.463382, Average Loss  1.447842, Time  0.446047
2021-09-24 12:37:22.827691 : Epoch  6, Batch    682, Loss  1.439096, Average Loss  1.448868, Time  0.443721
2021-09-24 12:37:28.207438 : Epoch  6, Batch    735, Loss  1.449089, Average Loss  1.447865, Time  0.442400
2021-09-24 12:37:28.771319 : Epoch  6, Batch    683, Loss  1.438213, Average Loss  1.448813, Time  0.444077
2021-09-24 12:37:34.137535 : Epoch  6, Batch    736, Loss  1.453751, Average Loss  1.447873, Time  0.442393
2021-09-24 12:37:34.727232 : Epoch  6, Batch    684, Loss  1.457007, Average Loss  1.448855, Time  0.445750
2021-09-24 12:37:40.071310 : Epoch  6, Batch    737, Loss  1.465180, Average Loss  1.447968, Time  0.439290
2021-09-24 12:37:40.681787 : Epoch  6, Batch    685, Loss  1.442531, Average Loss  1.448747, Time  0.459303
2021-09-24 12:37:46.018907 : Epoch  6, Batch    738, Loss  1.448385, Average Loss  1.448025, Time  0.443059
2021-09-24 12:37:46.608628 : Epoch  6, Batch    686, Loss  1.433111, Average Loss  1.448646, Time  0.446077
2021-09-24 12:37:51.947385 : Epoch  6, Batch    739, Loss  1.435654, Average Loss  1.447975, Time  0.439684
2021-09-24 12:37:52.536772 : Epoch  6, Batch    687, Loss  1.448953, Average Loss  1.448635, Time  0.444059
2021-09-24 12:37:57.907004 : Epoch  6, Batch    740, Loss  1.442656, Average Loss  1.447953, Time  0.439320
2021-09-24 12:37:58.521314 : Epoch  6, Batch    688, Loss  1.451442, Average Loss  1.448670, Time  0.446740
2021-09-24 12:38:03.842705 : Epoch  6, Batch    741, Loss  1.459530, Average Loss  1.447940, Time  0.439542
2021-09-24 12:38:04.466256 : Epoch  6, Batch    689, Loss  1.442338, Average Loss  1.448617, Time  0.443768
2021-09-24 12:38:09.804455 : Epoch  6, Batch    742, Loss  1.448398, Average Loss  1.447976, Time  0.459146
2021-09-24 12:38:10.425097 : Epoch  6, Batch    690, Loss  1.461857, Average Loss  1.448736, Time  0.444371
2021-09-24 12:38:15.753281 : Epoch  6, Batch    743, Loss  1.437054, Average Loss  1.447976, Time  0.439649
2021-09-24 12:38:16.364264 : Epoch  6, Batch    691, Loss  1.450358, Average Loss  1.448789, Time  0.443945
2021-09-24 12:38:21.692591 : Epoch  6, Batch    744, Loss  1.454336, Average Loss  1.448016, Time  0.441056
2021-09-24 12:38:22.318498 : Epoch  6, Batch    692, Loss  1.453164, Average Loss  1.448782, Time  0.455115
2021-09-24 12:38:27.647062 : Epoch  6, Batch    745, Loss  1.443898, Average Loss  1.448023, Time  0.439579
2021-09-24 12:38:28.295658 : Epoch  6, Batch    693, Loss  1.445618, Average Loss  1.448782, Time  0.445581
2021-09-24 12:38:33.569823 : Epoch  6, Batch    746, Loss  1.445073, Average Loss  1.447965, Time  0.439605
2021-09-24 12:38:34.234991 : Epoch  6, Batch    694, Loss  1.450705, Average Loss  1.448818, Time  0.443898
2021-09-24 12:38:39.508900 : Epoch  6, Batch    747, Loss  1.437490, Average Loss  1.447936, Time  0.440276
2021-09-24 12:38:40.168103 : Epoch  6, Batch    695, Loss  1.457377, Average Loss  1.448839, Time  0.443843
2021-09-24 12:38:45.460394 : Epoch  6, Batch    748, Loss  1.445204, Average Loss  1.447966, Time  0.444967
2021-09-24 12:38:46.130920 : Epoch  6, Batch    696, Loss  1.441844, Average Loss  1.448820, Time  0.443927
2021-09-24 12:38:51.384829 : Epoch  6, Batch    749, Loss  1.455313, Average Loss  1.448054, Time  0.438549
2021-09-24 12:38:52.058808 : Epoch  6, Batch    697, Loss  1.430658, Average Loss  1.448759, Time  0.454991
2021-09-24 12:38:57.338646 : Epoch  6, Batch    750, Loss  1.441341, Average Loss  1.447993, Time  0.451378
2021-09-24 12:38:57.988843 : Epoch  6, Batch    698, Loss  1.453956, Average Loss  1.448778, Time  0.443998
2021-09-24 12:39:03.269434 : Epoch  6, Batch    751, Loss  1.444142, Average Loss  1.447980, Time  0.439433
2021-09-24 12:39:03.949249 : Epoch  6, Batch    699, Loss  1.455909, Average Loss  1.448787, Time  0.446761
2021-09-24 12:39:09.208749 : Epoch  6, Batch    752, Loss  1.441627, Average Loss  1.447979, Time  0.438890
2021-09-24 12:39:09.903436 : Epoch  6, Batch    700, Loss  1.452597, Average Loss  1.448732, Time  0.465556
2021-09-24 12:39:15.134237 : Epoch  6, Batch    753, Loss  1.436079, Average Loss  1.447972, Time  0.439342
2021-09-24 12:39:15.844238 : Epoch  6, Batch    701, Loss  1.445725, Average Loss  1.448716, Time  0.447297
2021-09-24 12:39:21.049773 : Epoch  6, Batch    754, Loss  1.442169, Average Loss  1.448018, Time  0.446444
2021-09-24 12:39:21.785743 : Epoch  6, Batch    702, Loss  1.457278, Average Loss  1.448818, Time  0.444585
2021-09-24 12:39:26.981195 : Epoch  6, Batch    755, Loss  1.444178, Average Loss  1.447993, Time  0.439220
2021-09-24 12:39:27.735499 : Epoch  6, Batch    703, Loss  1.447039, Average Loss  1.448833, Time  0.443585
2021-09-24 12:39:32.923484 : Epoch  6, Batch    756, Loss  1.454284, Average Loss  1.448014, Time  0.441031
2021-09-24 12:39:33.709161 : Epoch  6, Batch    704, Loss  1.438354, Average Loss  1.448728, Time  0.445327
2021-09-24 12:39:38.870058 : Epoch  6, Batch    757, Loss  1.456609, Average Loss  1.448011, Time  0.441222
2021-09-24 12:39:39.666659 : Epoch  6, Batch    705, Loss  1.448418, Average Loss  1.448720, Time  0.445432
2021-09-24 12:39:44.814054 : Epoch  6, Batch    758, Loss  1.440527, Average Loss  1.447991, Time  0.451332
2021-09-24 12:39:45.611697 : Epoch  6, Batch    706, Loss  1.435127, Average Loss  1.448652, Time  0.443684
2021-09-24 12:39:50.757851 : Epoch  6, Batch    759, Loss  1.448969, Average Loss  1.448014, Time  0.441920
2021-09-24 12:39:51.557866 : Epoch  6, Batch    707, Loss  1.452371, Average Loss  1.448707, Time  0.447035
2021-09-24 12:39:56.673501 : Epoch  6, Batch    760, Loss  1.445114, Average Loss  1.448025, Time  0.440386
2021-09-24 12:39:57.564270 : Epoch  6, Batch    708, Loss  1.452168, Average Loss  1.448776, Time  0.462164
2021-09-24 12:40:03.498025 : Epoch  6, Batch    709, Loss  1.444552, Average Loss  1.448756, Time  0.445852
2021-09-24 12:40:09.434003 : Epoch  6, Batch    710, Loss  1.452096, Average Loss  1.448823, Time  0.444862
2021-09-24 12:40:15.368568 : Epoch  6, Batch    711, Loss  1.465436, Average Loss  1.448902, Time  0.444909
2021-09-24 12:40:21.320988 : Epoch  6, Batch    712, Loss  1.448862, Average Loss  1.448860, Time  0.446968
2021-09-24 12:40:27.263879 : Epoch  6, Batch    713, Loss  1.465160, Average Loss  1.448910, Time  0.444525
2021-09-24 12:40:33.192349 : Epoch  6, Batch    714, Loss  1.447124, Average Loss  1.448925, Time  0.444517
2021-09-24 12:40:39.181413 : Epoch  6, Batch    715, Loss  1.442414, Average Loss  1.448885, Time  0.456898
2021-09-24 12:40:45.118241 : Epoch  6, Batch    716, Loss  1.446459, Average Loss  1.448886, Time  0.443377
2021-09-24 12:40:51.050819 : Epoch  6, Batch    717, Loss  1.438798, Average Loss  1.448814, Time  0.443080
2021-09-24 12:40:57.010545 : Epoch  6, Batch    718, Loss  1.443984, Average Loss  1.448804, Time  0.443940
2021-09-24 12:41:02.955303 : Epoch  6, Batch    719, Loss  1.440676, Average Loss  1.448767, Time  0.446364
2021-09-24 12:41:08.885538 : Epoch  6, Batch    720, Loss  1.446037, Average Loss  1.448818, Time  0.444054
2021-09-24 12:41:14.857964 : Epoch  6, Batch    721, Loss  1.447661, Average Loss  1.448816, Time  0.444727
2021-09-24 12:41:20.798084 : Epoch  6, Batch    722, Loss  1.442362, Average Loss  1.448816, Time  0.448951
2021-09-24 12:41:26.741821 : Epoch  6, Batch    723, Loss  1.449553, Average Loss  1.448803, Time  0.460855
2021-09-24 12:41:32.684531 : Epoch  6, Batch    724, Loss  1.455992, Average Loss  1.448839, Time  0.443877
2021-09-24 12:41:38.636305 : Epoch  6, Batch    725, Loss  1.446214, Average Loss  1.448794, Time  0.444747
2021-09-24 12:41:44.578198 : Epoch  6, Batch    726, Loss  1.458652, Average Loss  1.448763, Time  0.448868
2021-09-24 12:41:50.559821 : Epoch  6, Batch    727, Loss  1.452539, Average Loss  1.448728, Time  0.443779
2021-09-24 12:41:56.507879 : Epoch  6, Batch    728, Loss  1.443681, Average Loss  1.448664, Time  0.445749
2021-09-24 12:42:02.464074 : Epoch  6, Batch    729, Loss  1.441563, Average Loss  1.448585, Time  0.446029
2021-09-24 12:42:08.405394 : Epoch  6, Batch    730, Loss  1.438598, Average Loss  1.448536, Time  0.443727
2021-09-24 12:42:14.375833 : Epoch  6, Batch    731, Loss  1.454272, Average Loss  1.448516, Time  0.464336
2021-09-24 12:42:20.316668 : Epoch  6, Batch    732, Loss  1.455442, Average Loss  1.448527, Time  0.444201
2021-09-24 12:42:26.264131 : Epoch  6, Batch    733, Loss  1.453091, Average Loss  1.448486, Time  0.444371
2021-09-24 12:42:32.214521 : Epoch  6, Batch    734, Loss  1.456699, Average Loss  1.448568, Time  0.445805
2021-09-24 12:42:38.163876 : Epoch  6, Batch    735, Loss  1.447075, Average Loss  1.448572, Time  0.445819
2021-09-24 12:42:44.116667 : Epoch  6, Batch    736, Loss  1.458616, Average Loss  1.448593, Time  0.450453
2021-09-24 12:42:50.038845 : Epoch  6, Batch    737, Loss  1.446640, Average Loss  1.448565, Time  0.443170
2021-09-24 12:42:55.979889 : Epoch  6, Batch    738, Loss  1.440629, Average Loss  1.448511, Time  0.443797
2021-09-24 12:43:01.936674 : Epoch  6, Batch    739, Loss  1.453875, Average Loss  1.448484, Time  0.454944
2021-09-24 12:43:07.873507 : Epoch  6, Batch    740, Loss  1.444403, Average Loss  1.448471, Time  0.444212
2021-09-24 12:43:13.807970 : Epoch  6, Batch    741, Loss  1.459368, Average Loss  1.448623, Time  0.444691
2021-09-24 12:43:19.764440 : Epoch  6, Batch    742, Loss  1.444573, Average Loss  1.448599, Time  0.444449
2021-09-24 12:43:25.698134 : Epoch  6, Batch    743, Loss  1.456687, Average Loss  1.448652, Time  0.445004
2021-09-24 12:43:31.651026 : Epoch  6, Batch    744, Loss  1.441122, Average Loss  1.448638, Time  0.446601
2021-09-24 12:43:37.612062 : Epoch  6, Batch    745, Loss  1.449229, Average Loss  1.448582, Time  0.445663
2021-09-24 12:43:43.567470 : Epoch  6, Batch    746, Loss  1.442941, Average Loss  1.448572, Time  0.443781
2021-09-24 12:43:49.519307 : Epoch  6, Batch    747, Loss  1.453214, Average Loss  1.448622, Time  0.457604
2021-09-24 12:43:55.471906 : Epoch  6, Batch    748, Loss  1.448393, Average Loss  1.448605, Time  0.445684
2021-09-24 12:44:01.422156 : Epoch  6, Batch    749, Loss  1.449505, Average Loss  1.448580, Time  0.443898
2021-09-24 12:44:07.380926 : Epoch  6, Batch    750, Loss  1.450636, Average Loss  1.448527, Time  0.445271
2021-09-24 12:44:13.312574 : Epoch  6, Batch    751, Loss  1.439644, Average Loss  1.448575, Time  0.444067
2021-09-24 12:44:19.257187 : Epoch  6, Batch    752, Loss  1.432666, Average Loss  1.448504, Time  0.444114
2021-09-24 12:44:25.192819 : Epoch  6, Batch    753, Loss  1.453241, Average Loss  1.448461, Time  0.445650
2021-09-24 12:44:31.156469 : Epoch  6, Batch    754, Loss  1.441002, Average Loss  1.448462, Time  0.455071
2021-09-24 12:44:34.304401 : CheckPoint: Validation Loss  0.00025269, Best Loss  0.00024726
2021-09-24 12:44:37.098759 : Epoch  6, Batch    755, Loss  1.456238, Average Loss  1.448514, Time  0.447221
2021-09-24 12:44:40.236417 : Epoch  6, Batch    761, Loss  1.445590, Average Loss  1.448033, Time  0.441294
2021-09-24 12:44:43.037037 : Epoch  6, Batch    756, Loss  1.447359, Average Loss  1.448557, Time  0.444109
2021-09-24 12:44:46.147037 : Epoch  6, Batch    762, Loss  1.438348, Average Loss  1.447941, Time  0.439013
2021-09-24 12:44:48.986376 : Epoch  6, Batch    757, Loss  1.450907, Average Loss  1.448591, Time  0.443657
2021-09-24 12:44:52.088068 : Epoch  6, Batch    763, Loss  1.433652, Average Loss  1.447839, Time  0.439326
2021-09-24 12:44:54.938225 : Epoch  6, Batch    758, Loss  1.445107, Average Loss  1.448512, Time  0.445581
2021-09-24 12:44:58.023814 : Epoch  6, Batch    764, Loss  1.438057, Average Loss  1.447778, Time  0.439126
2021-09-24 12:45:00.882507 : Epoch  6, Batch    759, Loss  1.435704, Average Loss  1.448393, Time  0.449009
2021-09-24 12:45:03.983238 : Epoch  6, Batch    765, Loss  1.452190, Average Loss  1.447756, Time  0.456028
2021-09-24 12:45:06.825034 : Epoch  6, Batch    760, Loss  1.439974, Average Loss  1.448429, Time  0.443609
2021-09-24 12:45:09.918409 : Epoch  6, Batch    766, Loss  1.446486, Average Loss  1.447752, Time  0.440138
2021-09-24 12:45:15.856749 : Epoch  6, Batch    767, Loss  1.448065, Average Loss  1.447751, Time  0.439577
2021-09-24 12:45:21.789839 : Epoch  6, Batch    768, Loss  1.453659, Average Loss  1.447772, Time  0.441114
2021-09-24 12:45:27.735563 : Epoch  6, Batch    769, Loss  1.442710, Average Loss  1.447785, Time  0.439423
2021-09-24 12:45:33.674558 : Epoch  6, Batch    770, Loss  1.449185, Average Loss  1.447836, Time  0.440935
2021-09-24 12:45:39.607789 : Epoch  6, Batch    771, Loss  1.460618, Average Loss  1.447915, Time  0.441276
2021-09-24 12:45:45.532342 : Epoch  6, Batch    772, Loss  1.436137, Average Loss  1.447898, Time  0.439323
2021-09-24 12:45:51.460012 : Epoch  6, Batch    773, Loss  1.445295, Average Loss  1.447900, Time  0.453464
2021-09-24 12:45:57.406745 : Epoch  6, Batch    774, Loss  1.446849, Average Loss  1.447878, Time  0.439636
2021-09-24 12:46:03.326899 : Epoch  6, Batch    775, Loss  1.456140, Average Loss  1.447941, Time  0.442354
2021-09-24 12:46:09.258779 : Epoch  6, Batch    776, Loss  1.450376, Average Loss  1.447963, Time  0.441921
2021-09-24 12:46:15.180401 : Epoch  6, Batch    777, Loss  1.446130, Average Loss  1.447916, Time  0.439053
2021-09-24 12:46:21.093323 : Epoch  6, Batch    778, Loss  1.451396, Average Loss  1.447956, Time  0.441887
2021-09-24 12:46:27.003256 : Epoch  6, Batch    779, Loss  1.451706, Average Loss  1.447891, Time  0.438896
2021-09-24 12:46:32.921839 : Epoch  6, Batch    780, Loss  1.450876, Average Loss  1.447933, Time  0.440818
2021-09-24 12:46:38.841874 : Epoch  6, Batch    781, Loss  1.458420, Average Loss  1.447982, Time  0.449194
2021-09-24 12:46:44.749733 : Epoch  6, Batch    782, Loss  1.454348, Average Loss  1.448081, Time  0.440748
2021-09-24 12:46:50.675698 : Epoch  6, Batch    783, Loss  1.449779, Average Loss  1.448108, Time  0.438828
2021-09-24 12:46:56.590193 : Epoch  6, Batch    784, Loss  1.445377, Average Loss  1.448097, Time  0.442111
2021-09-24 12:47:02.488236 : Epoch  6, Batch    785, Loss  1.451911, Average Loss  1.448030, Time  0.439386
2021-09-24 12:47:08.384406 : Epoch  6, Batch    786, Loss  1.442079, Average Loss  1.447944, Time  0.439667
2021-09-24 12:47:14.320292 : Epoch  6, Batch    787, Loss  1.438645, Average Loss  1.447832, Time  0.439314
2021-09-24 12:47:20.266858 : Epoch  6, Batch    788, Loss  1.440971, Average Loss  1.447827, Time  0.439064
2021-09-24 12:47:26.210314 : Epoch  6, Batch    789, Loss  1.439504, Average Loss  1.447770, Time  0.454194
2021-09-24 12:47:32.130092 : Epoch  6, Batch    790, Loss  1.457404, Average Loss  1.447770, Time  0.440610
2021-09-24 12:47:38.063314 : Epoch  6, Batch    791, Loss  1.448073, Average Loss  1.447783, Time  0.439036
2021-09-24 12:47:43.969689 : Epoch  6, Batch    792, Loss  1.451025, Average Loss  1.447850, Time  0.439812
2021-09-24 12:47:49.900242 : Epoch  6, Batch    793, Loss  1.444071, Average Loss  1.447839, Time  0.440298
2021-09-24 12:47:55.815389 : Epoch  6, Batch    794, Loss  1.458531, Average Loss  1.447857, Time  0.438869
2021-09-24 12:48:01.752673 : Epoch  6, Batch    795, Loss  1.437730, Average Loss  1.447829, Time  0.439246
2021-09-24 12:48:07.701600 : Epoch  6, Batch    796, Loss  1.439776, Average Loss  1.447743, Time  0.455913
2021-09-24 12:48:13.626360 : Epoch  6, Batch    797, Loss  1.456420, Average Loss  1.447775, Time  0.441552
2021-09-24 12:48:19.550027 : Epoch  6, Batch    798, Loss  1.448403, Average Loss  1.447831, Time  0.440162
2021-09-24 12:48:25.458578 : Epoch  6, Batch    799, Loss  1.436449, Average Loss  1.447772, Time  0.441221
2021-09-24 12:48:31.380205 : Epoch  6, Batch    800, Loss  1.457001, Average Loss  1.447889, Time  0.447146
2021-09-24 12:48:37.297544 : Epoch  6, Batch    801, Loss  1.447041, Average Loss  1.447910, Time  0.439438
2021-09-24 12:48:43.221049 : Epoch  6, Batch    802, Loss  1.441270, Average Loss  1.447848, Time  0.438719
2021-09-24 12:48:49.155624 : Epoch  6, Batch    803, Loss  1.450028, Average Loss  1.447871, Time  0.440590
2021-09-24 12:48:55.105313 : Epoch  6, Batch    804, Loss  1.449438, Average Loss  1.447826, Time  0.455869
2021-09-24 12:49:01.013556 : Epoch  6, Batch    805, Loss  1.446148, Average Loss  1.447786, Time  0.440403
2021-09-24 12:49:06.941747 : Epoch  6, Batch    806, Loss  1.455122, Average Loss  1.447828, Time  0.438887
2021-09-24 12:49:12.867635 : Epoch  6, Batch    807, Loss  1.444316, Average Loss  1.447759, Time  0.439186
2021-09-24 12:49:18.795580 : Epoch  6, Batch    808, Loss  1.446729, Average Loss  1.447716, Time  0.439761
2021-09-24 12:49:24.702791 : Epoch  6, Batch    809, Loss  1.458898, Average Loss  1.447689, Time  0.439025
2021-09-24 12:49:30.615927 : Epoch  6, Batch    810, Loss  1.442340, Average Loss  1.447687, Time  0.442258
2021-09-24 12:49:36.531055 : Epoch  6, Batch    811, Loss  1.450367, Average Loss  1.447696, Time  0.440249
2021-09-24 12:49:42.482595 : Epoch  6, Batch    812, Loss  1.436751, Average Loss  1.447649, Time  0.450277
2021-09-24 12:49:44.894132 : CheckPoint: Validation Loss  0.00024901, Best Loss  0.00024587
2021-09-24 12:49:48.412866 : Epoch  6, Batch    813, Loss  1.449143, Average Loss  1.447651, Time  0.439513
2021-09-24 12:49:50.828976 : Epoch  6, Batch    761, Loss  1.441011, Average Loss  1.448384, Time  0.456719
2021-09-24 12:49:54.318995 : Epoch  6, Batch    814, Loss  1.429641, Average Loss  1.447584, Time  0.441028
2021-09-24 12:49:56.752396 : Epoch  6, Batch    762, Loss  1.453885, Average Loss  1.448375, Time  0.444631
2021-09-24 12:50:00.250525 : Epoch  6, Batch    815, Loss  1.440994, Average Loss  1.447488, Time  0.443444
2021-09-24 12:50:02.710738 : Epoch  6, Batch    763, Loss  1.441337, Average Loss  1.448314, Time  0.445299
2021-09-24 12:50:06.154380 : Epoch  6, Batch    816, Loss  1.452092, Average Loss  1.447566, Time  0.440856
2021-09-24 12:50:08.644803 : Epoch  6, Batch    764, Loss  1.447965, Average Loss  1.448253, Time  0.443242
2021-09-24 12:50:12.067685 : Epoch  6, Batch    817, Loss  1.450576, Average Loss  1.447631, Time  0.442970
2021-09-24 12:50:14.585313 : Epoch  6, Batch    765, Loss  1.445615, Average Loss  1.448281, Time  0.449160
2021-09-24 12:50:18.003063 : Epoch  6, Batch    818, Loss  1.459868, Average Loss  1.447668, Time  0.439084
2021-09-24 12:50:20.520277 : Epoch  6, Batch    766, Loss  1.440542, Average Loss  1.448267, Time  0.443918
2021-09-24 12:50:23.925226 : Epoch  6, Batch    819, Loss  1.455535, Average Loss  1.447704, Time  0.439009
2021-09-24 12:50:26.483812 : Epoch  6, Batch    767, Loss  1.453279, Average Loss  1.448297, Time  0.453063
2021-09-24 12:50:29.869759 : Epoch  6, Batch    820, Loss  1.447604, Average Loss  1.447626, Time  0.458446
2021-09-24 12:50:32.416861 : Epoch  6, Batch    768, Loss  1.429445, Average Loss  1.448165, Time  0.443357
2021-09-24 12:50:35.791937 : Epoch  6, Batch    821, Loss  1.437986, Average Loss  1.447548, Time  0.440966
2021-09-24 12:50:38.360406 : Epoch  6, Batch    769, Loss  1.443450, Average Loss  1.448135, Time  0.454418
2021-09-24 12:50:41.719765 : Epoch  6, Batch    822, Loss  1.443123, Average Loss  1.447467, Time  0.440665
2021-09-24 12:50:44.281374 : Epoch  6, Batch    770, Loss  1.443127, Average Loss  1.448117, Time  0.444024
2021-09-24 12:50:47.648022 : Epoch  6, Batch    823, Loss  1.459143, Average Loss  1.447475, Time  0.442411
2021-09-24 12:50:50.203111 : Epoch  6, Batch    771, Loss  1.444109, Average Loss  1.448161, Time  0.443727
2021-09-24 12:50:53.569113 : Epoch  6, Batch    824, Loss  1.441937, Average Loss  1.447534, Time  0.441435
2021-09-24 12:50:56.135662 : Epoch  6, Batch    772, Loss  1.445146, Average Loss  1.448144, Time  0.443909
2021-09-24 12:50:59.499616 : Epoch  6, Batch    825, Loss  1.448935, Average Loss  1.447541, Time  0.440816
2021-09-24 12:51:02.063320 : Epoch  6, Batch    773, Loss  1.457528, Average Loss  1.448239, Time  0.445079
2021-09-24 12:51:05.424771 : Epoch  6, Batch    826, Loss  1.442327, Average Loss  1.447514, Time  0.439743
2021-09-24 12:51:07.984062 : Epoch  6, Batch    774, Loss  1.445360, Average Loss  1.448194, Time  0.444447
2021-09-24 12:51:11.346401 : Epoch  6, Batch    827, Loss  1.447834, Average Loss  1.447453, Time  0.442372
2021-09-24 12:51:13.924828 : Epoch  6, Batch    775, Loss  1.459457, Average Loss  1.448236, Time  0.446168
2021-09-24 12:51:17.287321 : Epoch  6, Batch    828, Loss  1.456493, Average Loss  1.447523, Time  0.447865
2021-09-24 12:51:19.850162 : Epoch  6, Batch    776, Loss  1.457019, Average Loss  1.448312, Time  0.444448
2021-09-24 12:51:23.203917 : Epoch  6, Batch    829, Loss  1.436912, Average Loss  1.447511, Time  0.445892
2021-09-24 12:51:25.804986 : Epoch  6, Batch    777, Loss  1.451455, Average Loss  1.448310, Time  0.455226
2021-09-24 12:51:29.142813 : Epoch  6, Batch    830, Loss  1.450753, Average Loss  1.447603, Time  0.442868
2021-09-24 12:51:31.744825 : Epoch  6, Batch    778, Loss  1.445255, Average Loss  1.448261, Time  0.444295
2021-09-24 12:51:35.055902 : Epoch  6, Batch    831, Loss  1.443250, Average Loss  1.447588, Time  0.438837
2021-09-24 12:51:37.706574 : Epoch  6, Batch    779, Loss  1.446359, Average Loss  1.448262, Time  0.444501
2021-09-24 12:51:41.017139 : Epoch  6, Batch    832, Loss  1.441361, Average Loss  1.447558, Time  0.443784
2021-09-24 12:51:43.788157 : Epoch  6, Batch    780, Loss  1.445912, Average Loss  1.448232, Time  0.445436
2021-09-24 12:51:46.951477 : Epoch  6, Batch    833, Loss  1.447814, Average Loss  1.447576, Time  0.440467
2021-09-24 12:51:49.769639 : Epoch  6, Batch    781, Loss  1.452235, Average Loss  1.448241, Time  0.444333
2021-09-24 12:51:52.881918 : Epoch  6, Batch    834, Loss  1.456648, Average Loss  1.447610, Time  0.440383
2021-09-24 12:51:55.776016 : Epoch  6, Batch    782, Loss  1.438340, Average Loss  1.448202, Time  0.445865
2021-09-24 12:51:58.809862 : Epoch  6, Batch    835, Loss  1.445618, Average Loss  1.447535, Time  0.440174
2021-09-24 12:52:01.754961 : Epoch  6, Batch    783, Loss  1.448469, Average Loss  1.448237, Time  0.450972
2021-09-24 12:52:04.767635 : Epoch  6, Batch    836, Loss  1.438927, Average Loss  1.447495, Time  0.454687
2021-09-24 12:52:07.721881 : Epoch  6, Batch    784, Loss  1.449591, Average Loss  1.448222, Time  0.456896
2021-09-24 12:52:10.689256 : Epoch  6, Batch    837, Loss  1.454898, Average Loss  1.447494, Time  0.440770
2021-09-24 12:52:13.709217 : Epoch  6, Batch    785, Loss  1.443376, Average Loss  1.448196, Time  0.449802
2021-09-24 12:52:16.627802 : Epoch  6, Batch    838, Loss  1.447636, Average Loss  1.447479, Time  0.439402
2021-09-24 12:52:19.669128 : Epoch  6, Batch    786, Loss  1.450559, Average Loss  1.448206, Time  0.448235
2021-09-24 12:52:22.558762 : Epoch  6, Batch    839, Loss  1.445491, Average Loss  1.447463, Time  0.439049
2021-09-24 12:52:25.625784 : Epoch  6, Batch    787, Loss  1.442910, Average Loss  1.448200, Time  0.443701
2021-09-24 12:52:28.462557 : Epoch  6, Batch    840, Loss  1.439414, Average Loss  1.447399, Time  0.439870
2021-09-24 12:52:31.587129 : Epoch  6, Batch    788, Loss  1.451847, Average Loss  1.448227, Time  0.444288
2021-09-24 12:52:34.380967 : Epoch  6, Batch    841, Loss  1.437122, Average Loss  1.447361, Time  0.439970
2021-09-24 12:52:37.547860 : Epoch  6, Batch    789, Loss  1.457288, Average Loss  1.448261, Time  0.445201
2021-09-24 12:52:40.339459 : Epoch  6, Batch    842, Loss  1.444011, Average Loss  1.447316, Time  0.441015
2021-09-24 12:52:43.626888 : Epoch  6, Batch    790, Loss  1.443008, Average Loss  1.448179, Time  0.449388
2021-09-24 12:52:46.306156 : Epoch  6, Batch    843, Loss  1.439993, Average Loss  1.447242, Time  0.439270
2021-09-24 12:52:49.624691 : Epoch  6, Batch    791, Loss  1.455433, Average Loss  1.448135, Time  0.443963
2021-09-24 12:52:52.242320 : Epoch  6, Batch    844, Loss  1.446710, Average Loss  1.447273, Time  0.457191
2021-09-24 12:52:55.599005 : Epoch  6, Batch    792, Loss  1.454370, Average Loss  1.448167, Time  0.461482
2021-09-24 12:52:58.210868 : Epoch  6, Batch    845, Loss  1.446439, Average Loss  1.447282, Time  0.439341
2021-09-24 12:53:01.623617 : Epoch  6, Batch    793, Loss  1.443423, Average Loss  1.448133, Time  0.445794
2021-09-24 12:53:04.153130 : Epoch  6, Batch    846, Loss  1.445403, Average Loss  1.447258, Time  0.446558
2021-09-24 12:53:07.639203 : Epoch  6, Batch    794, Loss  1.440743, Average Loss  1.448101, Time  0.446358
2021-09-24 12:53:10.095732 : Epoch  6, Batch    847, Loss  1.436455, Average Loss  1.447177, Time  0.440069
2021-09-24 12:53:13.665043 : Epoch  6, Batch    795, Loss  1.448630, Average Loss  1.448181, Time  0.445241
2021-09-24 12:53:16.087085 : Epoch  6, Batch    848, Loss  1.459400, Average Loss  1.447224, Time  0.439750
2021-09-24 12:53:19.697928 : Epoch  6, Batch    796, Loss  1.447279, Average Loss  1.448130, Time  0.444137
2021-09-24 12:53:22.023790 : Epoch  6, Batch    849, Loss  1.449430, Average Loss  1.447222, Time  0.439908
2021-09-24 12:53:25.701383 : Epoch  6, Batch    797, Loss  1.456566, Average Loss  1.448195, Time  0.446041
2021-09-24 12:53:27.972910 : Epoch  6, Batch    850, Loss  1.441473, Average Loss  1.447200, Time  0.440094
2021-09-24 12:53:31.704133 : Epoch  6, Batch    798, Loss  1.453157, Average Loss  1.448211, Time  0.444242
2021-09-24 12:53:33.932698 : Epoch  6, Batch    851, Loss  1.449018, Average Loss  1.447179, Time  0.455129
2021-09-24 12:53:37.766918 : Epoch  6, Batch    799, Loss  1.454601, Average Loss  1.448241, Time  0.458522
2021-09-24 12:53:39.911040 : Epoch  6, Batch    852, Loss  1.443493, Average Loss  1.447223, Time  0.440274
2021-09-24 12:53:43.778405 : Epoch  6, Batch    800, Loss  1.449721, Average Loss  1.448265, Time  0.445379
2021-09-24 12:53:45.851132 : Epoch  6, Batch    853, Loss  1.454194, Average Loss  1.447242, Time  0.439754
2021-09-24 12:53:49.815823 : Epoch  6, Batch    801, Loss  1.452633, Average Loss  1.448257, Time  0.445287
2021-09-24 12:53:51.801254 : Epoch  6, Batch    854, Loss  1.439732, Average Loss  1.447184, Time  0.439921
2021-09-24 12:53:55.817193 : Epoch  6, Batch    802, Loss  1.452397, Average Loss  1.448297, Time  0.444232
2021-09-24 12:53:57.724018 : Epoch  6, Batch    855, Loss  1.436053, Average Loss  1.447141, Time  0.439731
2021-09-24 12:54:01.840161 : Epoch  6, Batch    803, Loss  1.441894, Average Loss  1.448298, Time  0.457037
2021-09-24 12:54:03.665478 : Epoch  6, Batch    856, Loss  1.433666, Average Loss  1.447086, Time  0.441204
2021-09-24 12:54:07.831122 : Epoch  6, Batch    804, Loss  1.454804, Average Loss  1.448271, Time  0.445061
2021-09-24 12:54:09.634374 : Epoch  6, Batch    857, Loss  1.440603, Average Loss  1.447033, Time  0.439334
2021-09-24 12:54:13.829404 : Epoch  6, Batch    805, Loss  1.434390, Average Loss  1.448212, Time  0.443595
2021-09-24 12:54:15.546660 : Epoch  6, Batch    858, Loss  1.434327, Average Loss  1.446964, Time  0.440729
2021-09-24 12:54:19.799739 : Epoch  6, Batch    806, Loss  1.440025, Average Loss  1.448160, Time  0.443833
2021-09-24 12:54:21.496427 : Epoch  6, Batch    859, Loss  1.448663, Average Loss  1.447051, Time  0.454936
2021-09-24 12:54:25.804103 : Epoch  6, Batch    807, Loss  1.447649, Average Loss  1.448104, Time  0.452751
2021-09-24 12:54:27.437899 : Epoch  6, Batch    860, Loss  1.448691, Average Loss  1.447073, Time  0.443531
2021-09-24 12:54:31.812466 : Epoch  6, Batch    808, Loss  1.444177, Average Loss  1.448113, Time  0.445783
2021-09-24 12:54:37.757618 : Epoch  6, Batch    809, Loss  1.453931, Average Loss  1.448136, Time  0.444291
2021-09-24 12:54:43.753071 : Epoch  6, Batch    810, Loss  1.458480, Average Loss  1.448148, Time  0.443810
2021-09-24 12:54:49.800713 : Epoch  6, Batch    811, Loss  1.451295, Average Loss  1.448177, Time  0.444229
2021-09-24 12:54:55.783926 : Epoch  6, Batch    812, Loss  1.448505, Average Loss  1.448183, Time  0.445785
2021-09-24 12:55:01.764279 : Epoch  6, Batch    813, Loss  1.442062, Average Loss  1.448195, Time  0.444664
2021-09-24 12:55:07.740506 : Epoch  6, Batch    814, Loss  1.437507, Average Loss  1.448208, Time  0.455740
2021-09-24 12:55:13.689987 : Epoch  6, Batch    815, Loss  1.458900, Average Loss  1.448228, Time  0.444645
2021-09-24 12:55:19.680261 : Epoch  6, Batch    816, Loss  1.459232, Average Loss  1.448267, Time  0.448562
2021-09-24 12:55:25.635890 : Epoch  6, Batch    817, Loss  1.447181, Average Loss  1.448320, Time  0.444307
2021-09-24 12:55:31.634288 : Epoch  6, Batch    818, Loss  1.448210, Average Loss  1.448316, Time  0.446408
2021-09-24 12:55:37.665543 : Epoch  6, Batch    819, Loss  1.443108, Average Loss  1.448289, Time  0.443901
2021-09-24 12:55:43.640302 : Epoch  6, Batch    820, Loss  1.458238, Average Loss  1.448355, Time  0.444021
2021-09-24 12:55:49.638816 : Epoch  6, Batch    821, Loss  1.441069, Average Loss  1.448297, Time  0.444123
2021-09-24 12:55:55.655781 : Epoch  6, Batch    822, Loss  1.450422, Average Loss  1.448400, Time  0.456450
2021-09-24 12:56:01.670641 : Epoch  6, Batch    823, Loss  1.443708, Average Loss  1.448360, Time  0.444625
2021-09-24 12:56:07.649693 : Epoch  6, Batch    824, Loss  1.450845, Average Loss  1.448436, Time  0.443801
2021-09-24 12:56:13.666793 : Epoch  6, Batch    825, Loss  1.446932, Average Loss  1.448461, Time  0.443681
2021-09-24 12:56:19.644846 : Epoch  6, Batch    826, Loss  1.441166, Average Loss  1.448395, Time  0.445031
2021-09-24 12:56:25.658954 : Epoch  6, Batch    827, Loss  1.462179, Average Loss  1.448401, Time  0.443908
2021-09-24 12:56:31.647877 : Epoch  6, Batch    828, Loss  1.456536, Average Loss  1.448460, Time  0.444122
2021-09-24 12:56:37.635627 : Epoch  6, Batch    829, Loss  1.452766, Average Loss  1.448506, Time  0.454404
2021-09-24 12:56:43.634046 : Epoch  6, Batch    830, Loss  1.442704, Average Loss  1.448451, Time  0.445095
2021-09-24 12:56:49.592032 : Epoch  6, Batch    831, Loss  1.440240, Average Loss  1.448343, Time  0.443938
2021-09-24 12:56:55.600687 : Epoch  6, Batch    832, Loss  1.454601, Average Loss  1.448407, Time  0.446637
2021-09-24 12:57:01.547047 : Epoch  6, Batch    833, Loss  1.452911, Average Loss  1.448538, Time  0.443655
2021-09-24 12:57:07.579812 : Epoch  6, Batch    834, Loss  1.453618, Average Loss  1.448531, Time  0.444201
2021-09-24 12:57:13.604217 : Epoch  6, Batch    835, Loss  1.440500, Average Loss  1.448528, Time  0.443611
2021-09-24 12:57:19.636343 : Epoch  6, Batch    836, Loss  1.447164, Average Loss  1.448574, Time  0.461322
2021-09-24 12:57:25.616786 : Epoch  6, Batch    837, Loss  1.453269, Average Loss  1.448627, Time  0.456331
2021-09-24 12:57:31.620539 : Epoch  6, Batch    838, Loss  1.448916, Average Loss  1.448588, Time  0.444715
2021-09-24 12:57:37.587424 : Epoch  6, Batch    839, Loss  1.453659, Average Loss  1.448662, Time  0.443912
2021-09-24 12:57:43.532490 : Epoch  6, Batch    840, Loss  1.445794, Average Loss  1.448652, Time  0.449253
2021-09-24 12:57:49.499528 : Epoch  6, Batch    841, Loss  1.451635, Average Loss  1.448652, Time  0.443777
2021-09-24 12:57:55.479690 : Epoch  6, Batch    842, Loss  1.456905, Average Loss  1.448681, Time  0.444041
2021-09-24 12:58:01.437818 : Epoch  6, Batch    843, Loss  1.451355, Average Loss  1.448707, Time  0.444660
2021-09-24 12:58:07.429942 : Epoch  6, Batch    844, Loss  1.453832, Average Loss  1.448748, Time  0.454606
2021-09-24 12:58:13.402934 : Epoch  6, Batch    845, Loss  1.443874, Average Loss  1.448732, Time  0.444163
2021-09-24 12:58:19.372392 : Epoch  6, Batch    846, Loss  1.447700, Average Loss  1.448674, Time  0.443582
2021-09-24 12:58:25.364419 : Epoch  6, Batch    847, Loss  1.453586, Average Loss  1.448685, Time  0.444954
2021-09-24 12:58:31.356267 : Epoch  6, Batch    848, Loss  1.449057, Average Loss  1.448652, Time  0.444890
2021-09-24 12:58:37.347793 : Epoch  6, Batch    849, Loss  1.448959, Average Loss  1.448650, Time  0.444248
2021-09-24 12:58:43.367689 : Epoch  6, Batch    850, Loss  1.449103, Average Loss  1.448602, Time  0.445025
2021-09-24 12:58:49.375860 : Epoch  6, Batch    851, Loss  1.443593, Average Loss  1.448473, Time  0.444519
2021-09-24 12:58:55.385962 : Epoch  6, Batch    852, Loss  1.442086, Average Loss  1.448438, Time  0.454721
2021-09-24 12:59:01.379861 : Epoch  6, Batch    853, Loss  1.453261, Average Loss  1.448496, Time  0.448548
2021-09-24 12:59:06.129477 : CheckPoint: Validation Loss  0.00025673, Best Loss  0.00024726
2021-09-24 12:59:07.368279 : Epoch  6, Batch    854, Loss  1.451562, Average Loss  1.448502, Time  0.444354
2021-09-24 12:59:12.039723 : Epoch  6, Batch    861, Loss  1.449725, Average Loss  1.447122, Time  0.439019
2021-09-24 12:59:13.352086 : Epoch  6, Batch    855, Loss  1.450060, Average Loss  1.448536, Time  0.443931
2021-09-24 12:59:17.981692 : Epoch  6, Batch    862, Loss  1.438223, Average Loss  1.447103, Time  0.439996
2021-09-24 12:59:19.355577 : Epoch  6, Batch    856, Loss  1.456092, Average Loss  1.448578, Time  0.447630
2021-09-24 12:59:23.958573 : Epoch  6, Batch    863, Loss  1.444012, Average Loss  1.447061, Time  0.442015
2021-09-24 12:59:25.366310 : Epoch  6, Batch    857, Loss  1.445692, Average Loss  1.448569, Time  0.443913
2021-09-24 12:59:29.929864 : Epoch  6, Batch    864, Loss  1.452129, Average Loss  1.447112, Time  0.440064
2021-09-24 12:59:31.335616 : Epoch  6, Batch    858, Loss  1.439421, Average Loss  1.448478, Time  0.445024
2021-09-24 12:59:37.348788 : Epoch  6, Batch    859, Loss  1.444390, Average Loss  1.448463, Time  0.456077
2021-09-24 12:59:43.313566 : Epoch  6, Batch    860, Loss  1.451384, Average Loss  1.448490, Time  0.444115
2021-09-24 13:04:23.222753 : CheckPoint: Validation Loss  0.00025448, Best Loss  0.00024587
2021-09-24 13:04:29.203828 : Epoch  6, Batch    861, Loss  1.442816, Average Loss  1.448506, Time  0.444342
2021-09-24 13:04:35.186147 : Epoch  6, Batch    862, Loss  1.443755, Average Loss  1.448414, Time  0.447208
2021-09-24 13:04:41.160243 : Epoch  6, Batch    863, Loss  1.442434, Average Loss  1.448380, Time  0.444283
2021-09-24 13:04:47.130083 : Epoch  6, Batch    864, Loss  1.453285, Average Loss  1.448475, Time  0.444326
2021-09-24 13:04:53.143169 : Epoch  6, Batch    865, Loss  1.449923, Average Loss  1.448445, Time  0.457158
2021-09-24 13:04:59.105739 : Epoch  6, Batch    866, Loss  1.448280, Average Loss  1.448471, Time  0.447248
2021-09-24 13:05:05.082087 : Epoch  6, Batch    867, Loss  1.446650, Average Loss  1.448466, Time  0.445769
2021-09-24 13:05:11.060945 : Epoch  6, Batch    868, Loss  1.446596, Average Loss  1.448443, Time  0.445354
2021-09-24 13:05:17.060957 : Epoch  6, Batch    869, Loss  1.450915, Average Loss  1.448449, Time  0.444771
2021-09-24 13:05:23.045078 : Epoch  6, Batch    870, Loss  1.445278, Average Loss  1.448401, Time  0.445397
2021-09-24 13:05:29.027890 : Epoch  6, Batch    871, Loss  1.457437, Average Loss  1.448479, Time  0.445463
2021-09-24 13:05:35.019619 : Epoch  6, Batch    872, Loss  1.449769, Average Loss  1.448514, Time  0.444859
2021-09-24 13:05:41.010846 : Epoch  6, Batch    873, Loss  1.439159, Average Loss  1.448439, Time  0.461172
2021-09-24 13:05:46.997790 : Epoch  6, Batch    874, Loss  1.459102, Average Loss  1.448519, Time  0.444031
2021-09-24 13:05:52.972871 : Epoch  6, Batch    875, Loss  1.444052, Average Loss  1.448567, Time  0.444561
2021-09-24 13:05:58.958913 : Epoch  6, Batch    876, Loss  1.447214, Average Loss  1.448463, Time  0.443836
2021-09-24 13:06:04.939003 : Epoch  6, Batch    877, Loss  1.437622, Average Loss  1.448340, Time  0.443864
2021-09-24 13:06:10.947952 : Epoch  6, Batch    878, Loss  1.453532, Average Loss  1.448288, Time  0.448041
2021-09-24 13:06:16.918604 : Epoch  6, Batch    879, Loss  1.444667, Average Loss  1.448276, Time  0.444831
2021-09-24 13:06:22.881125 : Epoch  6, Batch    880, Loss  1.456768, Average Loss  1.448297, Time  0.444648
2021-09-24 13:06:28.888169 : Epoch  6, Batch    881, Loss  1.440437, Average Loss  1.448228, Time  0.457881
2021-09-24 13:06:34.888382 : Epoch  6, Batch    882, Loss  1.458911, Average Loss  1.448327, Time  0.444232
2021-09-24 13:06:40.863691 : Epoch  6, Batch    883, Loss  1.443168, Average Loss  1.448352, Time  0.444768
2021-09-24 13:06:46.845754 : Epoch  6, Batch    884, Loss  1.446818, Average Loss  1.448301, Time  0.445331
2021-09-24 13:06:52.828777 : Epoch  6, Batch    885, Loss  1.454225, Average Loss  1.448359, Time  0.444760
2021-09-24 13:06:58.818616 : Epoch  6, Batch    886, Loss  1.454283, Average Loss  1.448465, Time  0.444252
2021-09-24 13:07:04.766478 : Epoch  6, Batch    887, Loss  1.442129, Average Loss  1.448431, Time  0.444575
2021-09-24 13:07:10.742888 : Epoch  6, Batch    888, Loss  1.448723, Average Loss  1.448417, Time  0.452757
2021-09-24 13:07:16.753344 : Epoch  6, Batch    889, Loss  1.453583, Average Loss  1.448473, Time  0.444833
2021-09-24 13:07:22.739525 : Epoch  6, Batch    890, Loss  1.439615, Average Loss  1.448362, Time  0.443890
2021-09-24 13:07:28.714048 : Epoch  6, Batch    891, Loss  1.447154, Average Loss  1.448346, Time  0.443002
2021-09-24 13:07:34.666809 : Epoch  6, Batch    892, Loss  1.448435, Average Loss  1.448323, Time  0.444092
2021-09-24 13:07:40.682790 : Epoch  6, Batch    893, Loss  1.445392, Average Loss  1.448321, Time  0.444178
2021-09-24 13:07:46.687348 : Epoch  6, Batch    894, Loss  1.448527, Average Loss  1.448311, Time  0.445193
2021-09-24 13:07:52.628355 : Epoch  6, Batch    895, Loss  1.448492, Average Loss  1.448266, Time  0.443929
2021-09-24 13:07:58.624949 : Epoch  6, Batch    896, Loss  1.455668, Average Loss  1.448335, Time  0.456867
2021-09-24 13:08:04.614820 : Epoch  6, Batch    897, Loss  1.437018, Average Loss  1.448367, Time  0.444187
2021-09-24 13:08:10.587875 : Epoch  6, Batch    898, Loss  1.444005, Average Loss  1.448317, Time  0.444741
2021-09-24 13:08:16.589771 : Epoch  6, Batch    899, Loss  1.446245, Average Loss  1.448269, Time  0.443809
2021-09-24 13:08:22.586871 : Epoch  6, Batch    900, Loss  1.444183, Average Loss  1.448227, Time  0.447716
2021-09-24 13:08:28.546407 : Epoch  6, Batch    901, Loss  1.443223, Average Loss  1.448214, Time  0.444884
2021-09-24 13:08:34.536350 : Epoch  6, Batch    902, Loss  1.432219, Average Loss  1.448089, Time  0.446520
2021-09-24 13:08:40.524937 : Epoch  6, Batch    903, Loss  1.450211, Average Loss  1.448105, Time  0.459702
2021-09-24 13:08:46.473017 : Epoch  6, Batch    904, Loss  1.443362, Average Loss  1.448130, Time  0.443638
2021-09-24 13:08:52.467613 : Epoch  6, Batch    905, Loss  1.441466, Average Loss  1.448095, Time  0.443696
2021-09-24 13:08:58.446985 : Epoch  6, Batch    906, Loss  1.442897, Average Loss  1.448134, Time  0.444788
2021-09-24 13:09:04.402610 : Epoch  6, Batch    907, Loss  1.446289, Average Loss  1.448104, Time  0.443159
2021-09-24 13:09:10.390792 : Epoch  6, Batch    908, Loss  1.441858, Average Loss  1.448052, Time  0.445468
2021-09-24 13:09:16.377396 : Epoch  6, Batch    909, Loss  1.445635, Average Loss  1.448058, Time  0.444061
2021-09-24 13:09:22.393361 : Epoch  6, Batch    910, Loss  1.455012, Average Loss  1.448072, Time  0.444186
2021-09-24 13:09:28.366195 : Epoch  6, Batch    911, Loss  1.446271, Average Loss  1.447976, Time  0.456958
2021-09-24 13:09:34.346381 : Epoch  6, Batch    912, Loss  1.448895, Average Loss  1.447976, Time  0.444487
2021-09-24 13:09:40.313755 : Epoch  6, Batch    913, Loss  1.447594, Average Loss  1.447889, Time  0.443516
2021-09-24 13:09:46.290016 : Epoch  6, Batch    914, Loss  1.454872, Average Loss  1.447927, Time  0.444398
2021-09-24 13:09:52.297463 : Epoch  6, Batch    915, Loss  1.451814, Average Loss  1.447974, Time  0.445457
2021-09-24 13:09:58.265593 : Epoch  6, Batch    916, Loss  1.436695, Average Loss  1.447926, Time  0.444790
2021-09-24 13:10:04.266611 : Epoch  6, Batch    917, Loss  1.443288, Average Loss  1.447948, Time  0.444444
2021-09-24 13:10:10.272336 : Epoch  6, Batch    918, Loss  1.449848, Average Loss  1.447977, Time  0.459650
2021-09-24 13:10:16.239302 : Epoch  6, Batch    919, Loss  1.435479, Average Loss  1.447951, Time  0.444692
2021-09-24 13:10:22.217348 : Epoch  6, Batch    920, Loss  1.440605, Average Loss  1.447924, Time  0.443749
2021-09-24 13:10:28.165298 : Epoch  6, Batch    921, Loss  1.440935, Average Loss  1.447891, Time  0.445063
2021-09-24 13:10:34.131565 : Epoch  6, Batch    922, Loss  1.436720, Average Loss  1.447862, Time  0.443343
2021-09-24 13:10:40.136195 : Epoch  6, Batch    923, Loss  1.443362, Average Loss  1.447831, Time  0.445780
2021-09-24 13:10:46.130935 : Epoch  6, Batch    924, Loss  1.448912, Average Loss  1.447796, Time  0.449221
2021-09-24 13:10:52.116824 : Epoch  6, Batch    925, Loss  1.444191, Average Loss  1.447786, Time  0.444005
2021-09-24 13:10:58.112716 : Epoch  6, Batch    926, Loss  1.448684, Average Loss  1.447736, Time  0.457068
2021-09-24 13:11:04.093995 : Epoch  6, Batch    927, Loss  1.440332, Average Loss  1.447675, Time  0.447705
2021-09-24 13:11:10.073035 : Epoch  6, Batch    928, Loss  1.449885, Average Loss  1.447706, Time  0.444283
2021-09-24 13:11:10.103449 : Saving Model after 6-th Epoch.
2021-09-24 13:11:10.995425 : Epoch Finished.
2021-09-24 13:11:16.675712 : Batch Shuffled
2021-09-24 13:11:22.680081 : Epoch  7, Batch      1, Loss  1.443347, Average Loss  1.447715, Time  0.444279
2021-09-24 13:11:28.685286 : Epoch  7, Batch      2, Loss  1.453135, Average Loss  1.447788, Time  0.444909
2021-09-24 13:11:34.697812 : Epoch  7, Batch      3, Loss  1.451108, Average Loss  1.447772, Time  0.444030
2021-09-24 13:11:40.700513 : Epoch  7, Batch      4, Loss  1.435503, Average Loss  1.447672, Time  0.458340
2021-09-24 13:11:46.704139 : Epoch  7, Batch      5, Loss  1.459549, Average Loss  1.447704, Time  0.443411
2021-09-24 13:11:52.686751 : Epoch  7, Batch      6, Loss  1.443118, Average Loss  1.447636, Time  0.445035
2021-09-24 13:11:58.691279 : Epoch  7, Batch      7, Loss  1.448935, Average Loss  1.447646, Time  0.447063
2021-09-24 13:12:04.657596 : Epoch  7, Batch      8, Loss  1.447562, Average Loss  1.447591, Time  0.443666
2021-09-24 13:12:10.629905 : Epoch  7, Batch      9, Loss  1.438728, Average Loss  1.447551, Time  0.446025
2021-09-24 13:12:16.596711 : Epoch  7, Batch     10, Loss  1.458435, Average Loss  1.447640, Time  0.444615
2021-09-24 13:12:22.566835 : Epoch  7, Batch     11, Loss  1.444752, Average Loss  1.447594, Time  0.444298
2021-09-24 13:12:28.618918 : Epoch  7, Batch     12, Loss  1.443879, Average Loss  1.447592, Time  0.463159
2021-09-24 13:12:34.637519 : Epoch  7, Batch     13, Loss  1.446008, Average Loss  1.447525, Time  0.444925
2021-09-24 13:12:40.610889 : Epoch  7, Batch     14, Loss  1.441452, Average Loss  1.447509, Time  0.449260
2021-09-24 13:12:46.595575 : Epoch  7, Batch     15, Loss  1.460871, Average Loss  1.447530, Time  0.445882
2021-09-24 13:12:52.575064 : Epoch  7, Batch     16, Loss  1.444851, Average Loss  1.447549, Time  0.445695
2021-09-24 13:12:58.566380 : Epoch  7, Batch     17, Loss  1.440659, Average Loss  1.447506, Time  0.460410
2021-09-24 13:13:04.547099 : Epoch  7, Batch     18, Loss  1.439295, Average Loss  1.447488, Time  0.444931
2021-09-24 13:13:10.568892 : Epoch  7, Batch     19, Loss  1.446364, Average Loss  1.447454, Time  0.460148
2021-09-24 13:13:16.560105 : Epoch  7, Batch     20, Loss  1.445431, Average Loss  1.447439, Time  0.444127
2021-09-24 13:13:22.548615 : Epoch  7, Batch     21, Loss  1.450526, Average Loss  1.447444, Time  0.445132
2021-09-24 13:13:28.534807 : Epoch  7, Batch     22, Loss  1.454644, Average Loss  1.447464, Time  0.443629
2021-09-24 13:13:34.514688 : Epoch  7, Batch     23, Loss  1.455116, Average Loss  1.447541, Time  0.444214
2021-09-24 13:13:40.506421 : Epoch  7, Batch     24, Loss  1.444371, Average Loss  1.447600, Time  0.443672
2021-09-24 13:13:46.488640 : Epoch  7, Batch     25, Loss  1.443156, Average Loss  1.447549, Time  0.443859
2021-09-24 13:13:52.455172 : Epoch  7, Batch     26, Loss  1.451632, Average Loss  1.447603, Time  0.443500
2021-09-24 13:13:58.463442 : Epoch  7, Batch     27, Loss  1.454319, Average Loss  1.447593, Time  0.461461
2021-09-24 13:14:04.462391 : Epoch  7, Batch     28, Loss  1.455849, Average Loss  1.447635, Time  0.445750
2021-09-24 13:14:10.458149 : Epoch  7, Batch     29, Loss  1.445127, Average Loss  1.447606, Time  0.449626
2021-09-24 13:14:16.429724 : Epoch  7, Batch     30, Loss  1.455543, Average Loss  1.447659, Time  0.443825
2021-09-24 13:14:22.432633 : Epoch  7, Batch     31, Loss  1.441320, Average Loss  1.447687, Time  0.445922
2021-09-24 13:14:28.438013 : Epoch  7, Batch     32, Loss  1.444242, Average Loss  1.447708, Time  0.444350
2021-09-24 13:19:08.539758 : CheckPoint: Validation Loss  0.00025474, Best Loss  0.00024587
2021-09-24 13:19:14.513826 : Epoch  7, Batch     33, Loss  1.448524, Average Loss  1.447746, Time  0.453075
2021-09-24 13:19:20.499925 : Epoch  7, Batch     34, Loss  1.453267, Average Loss  1.447743, Time  0.444547
2021-09-24 13:19:26.486977 : Epoch  7, Batch     35, Loss  1.442988, Average Loss  1.447751, Time  0.443758
2021-09-24 13:19:32.467676 : Epoch  7, Batch     36, Loss  1.447632, Average Loss  1.447749, Time  0.447814
2021-09-24 13:19:38.456454 : Epoch  7, Batch     37, Loss  1.440012, Average Loss  1.447721, Time  0.443700
2021-09-24 13:19:44.468741 : Epoch  7, Batch     38, Loss  1.452947, Average Loss  1.447783, Time  0.443526
2021-09-24 13:19:50.466192 : Epoch  7, Batch     39, Loss  1.453102, Average Loss  1.447782, Time  0.443799
2021-09-24 13:19:56.462822 : Epoch  7, Batch     40, Loss  1.440487, Average Loss  1.447837, Time  0.445192
2021-09-24 13:20:02.452662 : Epoch  7, Batch     41, Loss  1.444621, Average Loss  1.447843, Time  0.454679
2021-09-24 13:20:08.450644 : Epoch  7, Batch     42, Loss  1.453402, Average Loss  1.447895, Time  0.450237
2021-09-24 13:20:14.459819 : Epoch  7, Batch     43, Loss  1.445427, Average Loss  1.447901, Time  0.443401
2021-09-24 13:20:20.435862 : Epoch  7, Batch     44, Loss  1.452003, Average Loss  1.447936, Time  0.444180
2021-09-24 13:20:26.490744 : Epoch  7, Batch     45, Loss  1.449286, Average Loss  1.447894, Time  0.444418
2021-09-24 13:20:32.487198 : Epoch  7, Batch     46, Loss  1.460532, Average Loss  1.447970, Time  0.444909
2021-09-24 13:20:38.463760 : Epoch  7, Batch     47, Loss  1.452892, Average Loss  1.447937, Time  0.444131
2021-09-24 13:20:44.469842 : Epoch  7, Batch     48, Loss  1.447462, Average Loss  1.447890, Time  0.460704
2021-09-24 13:20:50.447719 : Epoch  7, Batch     49, Loss  1.432871, Average Loss  1.447797, Time  0.443908
2021-09-24 13:20:56.428330 : Epoch  7, Batch     50, Loss  1.446813, Average Loss  1.447804, Time  0.444117
2021-09-24 13:21:02.383698 : Epoch  7, Batch     51, Loss  1.462958, Average Loss  1.447887, Time  0.444842
2021-09-24 13:21:08.379897 : Epoch  7, Batch     52, Loss  1.448004, Average Loss  1.447898, Time  0.446130
2021-09-24 13:21:14.391909 : Epoch  7, Batch     53, Loss  1.432612, Average Loss  1.447800, Time  0.443897
2021-09-24 13:21:20.394083 : Epoch  7, Batch     54, Loss  1.450174, Average Loss  1.447859, Time  0.443800
2021-09-24 13:21:26.347306 : Epoch  7, Batch     55, Loss  1.447006, Average Loss  1.447852, Time  0.443479
2021-09-24 13:21:32.336020 : Epoch  7, Batch     56, Loss  1.451339, Average Loss  1.447860, Time  0.456013
2021-09-24 13:21:38.340741 : Epoch  7, Batch     57, Loss  1.433851, Average Loss  1.447813, Time  0.443939
2021-09-24 13:21:44.362009 : Epoch  7, Batch     58, Loss  1.444628, Average Loss  1.447783, Time  0.444379
2021-09-24 13:21:50.351635 : Epoch  7, Batch     59, Loss  1.445892, Average Loss  1.447798, Time  0.444756
2021-09-24 13:21:56.326719 : Epoch  7, Batch     60, Loss  1.458842, Average Loss  1.447833, Time  0.444469
2021-09-24 13:22:02.331124 : Epoch  7, Batch     61, Loss  1.425786, Average Loss  1.447676, Time  0.444847
2021-09-24 13:22:08.328096 : Epoch  7, Batch     62, Loss  1.444929, Average Loss  1.447685, Time  0.444444
2021-09-24 13:22:14.313343 : Epoch  7, Batch     63, Loss  1.449146, Average Loss  1.447654, Time  0.453838
2021-09-24 13:22:21.042680 : Epoch  7, Batch     64, Loss  1.451053, Average Loss  1.447637, Time  0.444705
2021-09-24 13:22:27.018355 : Epoch  7, Batch     65, Loss  1.435774, Average Loss  1.447599, Time  0.444392
2021-09-24 13:22:33.003799 : Epoch  7, Batch     66, Loss  1.454808, Average Loss  1.447669, Time  0.443284
2021-09-24 13:22:38.987123 : Epoch  7, Batch     67, Loss  1.446089, Average Loss  1.447656, Time  0.444717
2021-09-24 13:22:44.958974 : Epoch  7, Batch     68, Loss  1.448993, Average Loss  1.447665, Time  0.443630
2021-09-24 13:22:50.959833 : Epoch  7, Batch     69, Loss  1.445523, Average Loss  1.447610, Time  0.444200
2021-09-24 13:22:56.987466 : Epoch  7, Batch     70, Loss  1.459152, Average Loss  1.447640, Time  0.444289
2021-09-24 13:23:03.012815 : Epoch  7, Batch     71, Loss  1.439291, Average Loss  1.447563, Time  0.460639
2021-09-24 13:23:09.007921 : Epoch  7, Batch     72, Loss  1.456246, Average Loss  1.447596, Time  0.444635
2021-09-24 13:23:15.013234 : Epoch  7, Batch     73, Loss  1.454289, Average Loss  1.447604, Time  0.444262
2021-09-24 13:23:20.968719 : Epoch  7, Batch     74, Loss  1.449913, Average Loss  1.447592, Time  0.444079
2021-09-24 13:23:26.954568 : Epoch  7, Batch     75, Loss  1.458727, Average Loss  1.447676, Time  0.444360
2021-09-24 13:23:32.945649 : Epoch  7, Batch     76, Loss  1.443074, Average Loss  1.447617, Time  0.443842
2021-09-24 13:23:38.937776 : Epoch  7, Batch     77, Loss  1.440807, Average Loss  1.447649, Time  0.445275
2021-09-24 13:23:44.920001 : Epoch  7, Batch     78, Loss  1.448009, Average Loss  1.447689, Time  0.453627
2021-09-24 13:23:50.914882 : Epoch  7, Batch     79, Loss  1.440647, Average Loss  1.447654, Time  0.443510
2021-09-24 13:23:56.887545 : Epoch  7, Batch     80, Loss  1.454720, Average Loss  1.447707, Time  0.444613
2021-09-24 13:24:02.861837 : Epoch  7, Batch     81, Loss  1.462159, Average Loss  1.447748, Time  0.443938
2021-09-24 13:24:08.848499 : Epoch  7, Batch     82, Loss  1.447639, Average Loss  1.447694, Time  0.443189
2021-09-24 13:24:14.817730 : Epoch  7, Batch     83, Loss  1.439785, Average Loss  1.447636, Time  0.444564
2021-09-24 13:24:20.802934 : Epoch  7, Batch     84, Loss  1.453073, Average Loss  1.447659, Time  0.444358
2021-09-24 13:24:26.781819 : Epoch  7, Batch     85, Loss  1.449015, Average Loss  1.447694, Time  0.443854
2021-09-24 13:24:32.764837 : Epoch  7, Batch     86, Loss  1.447992, Average Loss  1.447746, Time  0.461818
2021-09-24 13:24:38.780670 : Epoch  7, Batch     87, Loss  1.434113, Average Loss  1.447622, Time  0.443536
2021-09-24 13:24:44.756785 : Epoch  7, Batch     88, Loss  1.444863, Average Loss  1.447551, Time  0.453607
2021-09-24 13:24:50.752143 : Epoch  7, Batch     89, Loss  1.455991, Average Loss  1.447595, Time  0.445225
2021-09-24 13:24:56.746404 : Epoch  7, Batch     90, Loss  1.451431, Average Loss  1.447611, Time  0.443928
2021-09-24 13:25:02.737660 : Epoch  7, Batch     91, Loss  1.439634, Average Loss  1.447593, Time  0.445555
2021-09-24 13:25:08.753768 : Epoch  7, Batch     92, Loss  1.440147, Average Loss  1.447503, Time  0.444703
2021-09-24 13:25:14.797806 : Epoch  7, Batch     93, Loss  1.441121, Average Loss  1.447503, Time  0.455310
2021-09-24 13:25:20.782888 : Epoch  7, Batch     94, Loss  1.461828, Average Loss  1.447560, Time  0.444174
2021-09-24 13:25:26.768805 : Epoch  7, Batch     95, Loss  1.455917, Average Loss  1.447621, Time  0.444991
2021-09-24 13:25:32.760372 : Epoch  7, Batch     96, Loss  1.439242, Average Loss  1.447563, Time  0.443879
2021-09-24 13:25:38.797227 : Epoch  7, Batch     97, Loss  1.439057, Average Loss  1.447524, Time  0.450837
2021-09-24 13:25:44.787492 : Epoch  7, Batch     98, Loss  1.443130, Average Loss  1.447534, Time  0.445615
2021-09-24 13:25:50.772942 : Epoch  7, Batch     99, Loss  1.444754, Average Loss  1.447447, Time  0.444767
2021-09-24 13:25:56.755438 : Epoch  7, Batch    100, Loss  1.450050, Average Loss  1.447414, Time  0.445520
2021-09-24 13:26:02.758030 : Epoch  7, Batch    101, Loss  1.446808, Average Loss  1.447384, Time  0.455490
2021-09-24 13:26:08.742832 : Epoch  7, Batch    102, Loss  1.452330, Average Loss  1.447432, Time  0.444206
2021-09-24 13:26:14.758810 : Epoch  7, Batch    103, Loss  1.436157, Average Loss  1.447412, Time  0.443911
2021-09-24 13:26:20.771243 : Epoch  7, Batch    104, Loss  1.443645, Average Loss  1.447357, Time  0.447678
2021-09-24 13:26:26.739400 : Epoch  7, Batch    105, Loss  1.445192, Average Loss  1.447319, Time  0.444286
2021-09-24 13:26:32.689885 : Epoch  7, Batch    106, Loss  1.443338, Average Loss  1.447267, Time  0.443511
2021-09-24 13:26:38.672944 : Epoch  7, Batch    107, Loss  1.452509, Average Loss  1.447327, Time  0.444993
2021-09-24 13:26:44.665039 : Epoch  7, Batch    108, Loss  1.445703, Average Loss  1.447320, Time  0.457309
2021-09-24 13:26:50.643759 : Epoch  7, Batch    109, Loss  1.445794, Average Loss  1.447283, Time  0.449348
2021-09-24 13:26:56.620614 : Epoch  7, Batch    110, Loss  1.441595, Average Loss  1.447246, Time  0.449665
2021-09-24 13:27:02.593118 : Epoch  7, Batch    111, Loss  1.435372, Average Loss  1.447155, Time  0.445753
2021-09-24 13:27:08.583772 : Epoch  7, Batch    112, Loss  1.447211, Average Loss  1.447162, Time  0.443924
2021-09-24 13:27:14.615612 : Epoch  7, Batch    113, Loss  1.451745, Average Loss  1.447162, Time  0.445165
2021-09-24 13:27:20.605509 : Epoch  7, Batch    114, Loss  1.428442, Average Loss  1.447020, Time  0.444777
2021-09-24 13:27:26.611987 : Epoch  7, Batch    115, Loss  1.455003, Average Loss  1.447038, Time  0.444266
2021-09-24 13:27:32.611332 : Epoch  7, Batch    116, Loss  1.446727, Average Loss  1.447003, Time  0.458545
2021-09-24 13:27:38.633868 : Epoch  7, Batch    117, Loss  1.452084, Average Loss  1.447044, Time  0.451147
2021-09-24 13:27:44.616747 : Epoch  7, Batch    118, Loss  1.440654, Average Loss  1.447008, Time  0.444186
2021-09-24 13:27:50.616245 : Epoch  7, Batch    119, Loss  1.452816, Average Loss  1.447005, Time  0.444558
2021-09-24 13:27:56.589343 : Epoch  7, Batch    120, Loss  1.426470, Average Loss  1.446892, Time  0.443737
2021-09-24 13:28:02.613389 : Epoch  7, Batch    121, Loss  1.455521, Average Loss  1.446924, Time  0.445971
2021-09-24 13:28:08.602033 : Epoch  7, Batch    122, Loss  1.454556, Average Loss  1.446952, Time  0.444069
2021-09-24 13:28:14.620889 : Epoch  7, Batch    123, Loss  1.434317, Average Loss  1.446905, Time  0.455091
2021-09-24 13:28:20.626212 : Epoch  7, Batch    124, Loss  1.445728, Average Loss  1.446924, Time  0.443683
2021-09-24 13:28:26.624576 : Epoch  7, Batch    125, Loss  1.447808, Average Loss  1.446896, Time  0.444664
2021-09-24 13:28:32.597005 : Epoch  7, Batch    126, Loss  1.451562, Average Loss  1.446896, Time  0.444469
2021-09-24 13:28:38.584789 : Epoch  7, Batch    127, Loss  1.436421, Average Loss  1.446828, Time  0.443746
2021-09-24 13:28:44.558810 : Epoch  7, Batch    128, Loss  1.430464, Average Loss  1.446700, Time  0.443763
2021-09-24 13:28:50.547785 : Epoch  7, Batch    129, Loss  1.441082, Average Loss  1.446677, Time  0.444808
2021-09-24 13:28:56.502463 : Epoch  7, Batch    130, Loss  1.445108, Average Loss  1.446705, Time  0.444110
2021-09-24 13:29:02.476004 : Epoch  7, Batch    131, Loss  1.456435, Average Loss  1.446766, Time  0.452850
2021-09-24 13:29:08.448609 : Epoch  7, Batch    132, Loss  1.442497, Average Loss  1.446721, Time  0.443831
2021-09-24 13:33:48.743719 : CheckPoint: Validation Loss  0.00025533, Best Loss  0.00024587
2021-09-24 13:33:54.737474 : Epoch  7, Batch    133, Loss  1.448710, Average Loss  1.446751, Time  0.450058
2021-09-24 13:34:00.718615 : Epoch  7, Batch    134, Loss  1.457938, Average Loss  1.446822, Time  0.443714
2021-09-24 13:34:06.701949 : Epoch  7, Batch    135, Loss  1.462688, Average Loss  1.446923, Time  0.444140
2021-09-24 13:34:12.667757 : Epoch  7, Batch    136, Loss  1.454730, Average Loss  1.446930, Time  0.444112
2021-09-24 13:34:18.652061 : Epoch  7, Batch    137, Loss  1.444025, Average Loss  1.446901, Time  0.450321
2021-09-24 13:34:24.663831 : Epoch  7, Batch    138, Loss  1.459425, Average Loss  1.446956, Time  0.443791
2021-09-24 13:34:30.637425 : Epoch  7, Batch    139, Loss  1.446234, Average Loss  1.446954, Time  0.443967
2021-09-24 13:34:36.637295 : Epoch  7, Batch    140, Loss  1.443449, Average Loss  1.446938, Time  0.444494
2021-09-24 13:34:42.623729 : Epoch  7, Batch    141, Loss  1.448272, Average Loss  1.446925, Time  0.444338
2021-09-24 13:34:48.585792 : Epoch  7, Batch    142, Loss  1.451440, Average Loss  1.446956, Time  0.444248
2021-09-24 13:34:54.555779 : Epoch  7, Batch    143, Loss  1.444150, Average Loss  1.446890, Time  0.444032
2021-09-24 13:35:00.561087 : Epoch  7, Batch    144, Loss  1.456842, Average Loss  1.446925, Time  0.456554
2021-09-24 13:35:06.518807 : Epoch  7, Batch    145, Loss  1.443373, Average Loss  1.446946, Time  0.443479
2021-09-24 13:35:12.527775 : Epoch  7, Batch    146, Loss  1.450363, Average Loss  1.446902, Time  0.451034
2021-09-24 13:35:18.537717 : Epoch  7, Batch    147, Loss  1.447529, Average Loss  1.446920, Time  0.444943
2021-09-24 13:35:24.545980 : Epoch  7, Batch    148, Loss  1.458424, Average Loss  1.446976, Time  0.443706
2021-09-24 13:35:30.495851 : Epoch  7, Batch    149, Loss  1.462095, Average Loss  1.447098, Time  0.444398
2021-09-24 13:35:36.465107 : Epoch  7, Batch    150, Loss  1.451025, Average Loss  1.447086, Time  0.445083
2021-09-24 13:35:42.468140 : Epoch  7, Batch    151, Loss  1.447093, Average Loss  1.447098, Time  0.444776
2021-09-24 13:35:48.488924 : Epoch  7, Batch    152, Loss  1.456583, Average Loss  1.447097, Time  0.456092
2021-09-24 13:35:54.485019 : Epoch  7, Batch    153, Loss  1.449540, Average Loss  1.447142, Time  0.468133
2021-09-24 13:36:00.445386 : Epoch  7, Batch    154, Loss  1.447130, Average Loss  1.447083, Time  0.445581
2021-09-24 13:36:06.423144 : Epoch  7, Batch    155, Loss  1.451670, Average Loss  1.447126, Time  0.443500
2021-09-24 13:36:12.398604 : Epoch  7, Batch    156, Loss  1.455775, Average Loss  1.447171, Time  0.445337
2021-09-24 13:36:18.402753 : Epoch  7, Batch    157, Loss  1.444653, Average Loss  1.447123, Time  0.443627
2021-09-24 13:36:24.376978 : Epoch  7, Batch    158, Loss  1.433626, Average Loss  1.447020, Time  0.444085
2021-09-24 13:36:30.377576 : Epoch  7, Batch    159, Loss  1.455488, Average Loss  1.447086, Time  0.460159
2021-09-24 13:36:36.366251 : Epoch  7, Batch    160, Loss  1.459186, Average Loss  1.447139, Time  0.444224
2021-09-24 13:36:42.340704 : Epoch  7, Batch    161, Loss  1.439450, Average Loss  1.447068, Time  0.443605
2021-09-24 13:36:48.349892 : Epoch  7, Batch    162, Loss  1.451128, Average Loss  1.447126, Time  0.443501
2021-09-24 13:36:54.320385 : Epoch  7, Batch    163, Loss  1.430508, Average Loss  1.447042, Time  0.443523
2021-09-24 13:37:00.303397 : Epoch  7, Batch    164, Loss  1.441938, Average Loss  1.447010, Time  0.443599
2021-09-24 13:37:06.310398 : Epoch  7, Batch    165, Loss  1.443559, Average Loss  1.447001, Time  0.449246
2021-09-24 13:37:12.260994 : Epoch  7, Batch    166, Loss  1.445751, Average Loss  1.446987, Time  0.444936
2021-09-24 13:37:18.265362 : Epoch  7, Batch    167, Loss  1.449707, Average Loss  1.446993, Time  0.456338
2021-09-24 13:37:24.256399 : Epoch  7, Batch    168, Loss  1.452766, Average Loss  1.446978, Time  0.444531
2021-09-24 13:37:30.242628 : Epoch  7, Batch    169, Loss  1.435923, Average Loss  1.446973, Time  0.443741
2021-09-24 13:37:36.217823 : Epoch  7, Batch    170, Loss  1.438882, Average Loss  1.446947, Time  0.443830
2021-09-24 13:37:42.209856 : Epoch  7, Batch    171, Loss  1.442851, Average Loss  1.446930, Time  0.443223
2021-09-24 13:37:48.186992 : Epoch  7, Batch    172, Loss  1.445964, Average Loss  1.446939, Time  0.446781
2021-09-24 13:37:54.176571 : Epoch  7, Batch    173, Loss  1.433973, Average Loss  1.446893, Time  0.443894
2021-09-24 13:38:00.131607 : Epoch  7, Batch    174, Loss  1.456469, Average Loss  1.447014, Time  0.443005
2021-09-24 13:38:06.096867 : Epoch  7, Batch    175, Loss  1.441629, Average Loss  1.446971, Time  0.449692
2021-09-24 13:38:12.079400 : Epoch  7, Batch    176, Loss  1.449085, Average Loss  1.447000, Time  0.443513
2021-09-24 13:38:18.053786 : Epoch  7, Batch    177, Loss  1.464662, Average Loss  1.447116, Time  0.443971
2021-09-24 13:38:24.019219 : Epoch  7, Batch    178, Loss  1.435356, Average Loss  1.447078, Time  0.444240
2021-09-24 13:38:29.987989 : Epoch  7, Batch    179, Loss  1.464986, Average Loss  1.447172, Time  0.444764
2021-09-24 13:38:35.957406 : Epoch  7, Batch    180, Loss  1.443775, Average Loss  1.447181, Time  0.445211
2021-09-24 13:38:41.946847 : Epoch  7, Batch    181, Loss  1.439189, Average Loss  1.447149, Time  0.446503
2021-09-24 13:38:47.914615 : Epoch  7, Batch    182, Loss  1.451918, Average Loss  1.447134, Time  0.446264
2021-09-24 13:38:53.893719 : Epoch  7, Batch    183, Loss  1.447577, Average Loss  1.447140, Time  0.449743
2021-09-24 13:38:59.878495 : Epoch  7, Batch    184, Loss  1.456490, Average Loss  1.447178, Time  0.444571
2021-09-24 13:39:05.872541 : Epoch  7, Batch    185, Loss  1.446426, Average Loss  1.447172, Time  0.443644
2021-09-24 13:39:11.854009 : Epoch  7, Batch    186, Loss  1.458589, Average Loss  1.447191, Time  0.447183
2021-09-24 13:39:17.814779 : Epoch  7, Batch    187, Loss  1.448651, Average Loss  1.447175, Time  0.443705
2021-09-24 13:39:23.759248 : Epoch  7, Batch    188, Loss  1.450889, Average Loss  1.447246, Time  0.443834
2021-09-24 13:39:29.724674 : Epoch  7, Batch    189, Loss  1.446925, Average Loss  1.447264, Time  0.444581
2021-09-24 13:39:35.728003 : Epoch  7, Batch    190, Loss  1.440601, Average Loss  1.447218, Time  0.458652
2021-09-24 13:39:41.694269 : Epoch  7, Batch    191, Loss  1.447069, Average Loss  1.447276, Time  0.443714
2021-09-24 13:39:47.690628 : Epoch  7, Batch    192, Loss  1.454825, Average Loss  1.447347, Time  0.445724
2021-09-24 13:39:53.663223 : Epoch  7, Batch    193, Loss  1.446630, Average Loss  1.447375, Time  0.444483
2021-09-24 13:39:59.667355 : Epoch  7, Batch    194, Loss  1.449897, Average Loss  1.447441, Time  0.444629
2021-09-24 13:40:06.086619 : Epoch  7, Batch    195, Loss  1.448284, Average Loss  1.447466, Time  0.852685
2021-09-24 13:40:12.480918 : Epoch  7, Batch    196, Loss  1.433143, Average Loss  1.447387, Time  0.858648
2021-09-24 13:40:18.849869 : Epoch  7, Batch    197, Loss  1.443585, Average Loss  1.447384, Time  0.445626
2021-09-24 13:40:25.298340 : Epoch  7, Batch    198, Loss  1.454874, Average Loss  1.447415, Time  0.461259
2021-09-24 13:40:31.730468 : Epoch  7, Batch    199, Loss  1.435963, Average Loss  1.447393, Time  0.451381
2021-09-24 13:40:37.935625 : Epoch  7, Batch    200, Loss  1.440815, Average Loss  1.447348, Time  0.445089
2021-09-24 13:40:43.929476 : Epoch  7, Batch    201, Loss  1.444288, Average Loss  1.447353, Time  0.445127
2021-09-24 13:40:49.979044 : Epoch  7, Batch    202, Loss  1.449570, Average Loss  1.447335, Time  0.444601
2021-09-24 13:40:56.340052 : Epoch  7, Batch    203, Loss  1.453323, Average Loss  1.447346, Time  0.444975
2021-09-24 13:41:02.802999 : Epoch  7, Batch    204, Loss  1.448554, Average Loss  1.447411, Time  0.445784
2021-09-24 13:41:33.503182 : Epoch  7, Batch    205, Loss  1.449805, Average Loss  1.447362, Time  0.452264
2021-09-24 13:41:39.501802 : Epoch  7, Batch    206, Loss  1.459629, Average Loss  1.447445, Time  0.445488
2021-09-24 13:41:45.500909 : Epoch  7, Batch    207, Loss  1.451955, Average Loss  1.447460, Time  0.444293
2021-09-24 13:41:51.758275 : Epoch  7, Batch    208, Loss  1.447543, Average Loss  1.447460, Time  0.447700
2021-09-24 13:42:18.161977 : Epoch  7, Batch    209, Loss  1.435473, Average Loss  1.447444, Time  0.455452
2021-09-24 13:42:24.197248 : Epoch  7, Batch    210, Loss  1.447979, Average Loss  1.447391, Time  0.445450
2021-09-24 13:42:30.161848 : Epoch  7, Batch    211, Loss  1.452002, Average Loss  1.447428, Time  0.443889
2021-09-24 13:42:36.126700 : Epoch  7, Batch    212, Loss  1.428703, Average Loss  1.447352, Time  0.444209
2021-09-24 13:42:42.088479 : Epoch  7, Batch    213, Loss  1.442152, Average Loss  1.447332, Time  0.457964
2021-09-24 13:42:48.028737 : Epoch  7, Batch    214, Loss  1.454619, Average Loss  1.447398, Time  0.443716
2021-09-24 13:42:53.992666 : Epoch  7, Batch    215, Loss  1.458596, Average Loss  1.447387, Time  0.443985
2021-09-24 13:42:59.957913 : Epoch  7, Batch    216, Loss  1.435987, Average Loss  1.447343, Time  0.447829
2021-09-24 13:43:05.912729 : Epoch  7, Batch    217, Loss  1.441672, Average Loss  1.447348, Time  0.443498
2021-09-24 13:43:11.865005 : Epoch  7, Batch    218, Loss  1.449214, Average Loss  1.447397, Time  0.447110
2021-09-24 13:43:17.822039 : Epoch  7, Batch    219, Loss  1.442797, Average Loss  1.447379, Time  0.445749
2021-09-24 13:43:23.770496 : Epoch  7, Batch    220, Loss  1.452763, Average Loss  1.447416, Time  0.447139
2021-09-24 13:43:29.732416 : Epoch  7, Batch    221, Loss  1.446566, Average Loss  1.447396, Time  0.458314
2021-09-24 13:43:35.711390 : Epoch  7, Batch    222, Loss  1.441592, Average Loss  1.447331, Time  0.443625
2021-09-24 13:43:41.667762 : Epoch  7, Batch    223, Loss  1.445525, Average Loss  1.447283, Time  0.443626
2021-09-24 13:43:47.601941 : Epoch  7, Batch    224, Loss  1.432433, Average Loss  1.447223, Time  0.443891
2021-09-24 13:43:53.574210 : Epoch  7, Batch    225, Loss  1.448908, Average Loss  1.447252, Time  0.448280
2021-09-24 13:43:59.530292 : Epoch  7, Batch    226, Loss  1.449297, Average Loss  1.447240, Time  0.444262
2021-09-24 13:44:05.478849 : Epoch  7, Batch    227, Loss  1.444527, Average Loss  1.447191, Time  0.443879
2021-09-24 13:44:11.445608 : Epoch  7, Batch    228, Loss  1.467145, Average Loss  1.447248, Time  0.457713
2021-09-24 13:44:17.397892 : Epoch  7, Batch    229, Loss  1.454994, Average Loss  1.447297, Time  0.446903
2021-09-24 13:44:23.348429 : Epoch  7, Batch    230, Loss  1.441294, Average Loss  1.447226, Time  0.444943
2021-09-24 13:44:29.302255 : Epoch  7, Batch    231, Loss  1.450763, Average Loss  1.447273, Time  0.444177
2021-09-24 13:44:35.249897 : Epoch  7, Batch    232, Loss  1.452230, Average Loss  1.447313, Time  0.449864
2021-09-24 13:49:14.395026 : CheckPoint: Validation Loss  0.00025256, Best Loss  0.00024587
2021-09-24 13:49:20.362914 : Epoch  7, Batch    233, Loss  1.457777, Average Loss  1.447359, Time  0.444010
2021-09-24 13:49:26.328525 : Epoch  7, Batch    234, Loss  1.445273, Average Loss  1.447319, Time  0.446504
2021-09-24 13:49:32.282966 : Epoch  7, Batch    235, Loss  1.454321, Average Loss  1.447376, Time  0.452739
2021-09-24 13:49:38.227084 : Epoch  7, Batch    236, Loss  1.446816, Average Loss  1.447372, Time  0.449228
2021-09-24 13:49:44.169978 : Epoch  7, Batch    237, Loss  1.441710, Average Loss  1.447381, Time  0.444172
2021-09-24 13:49:50.116009 : Epoch  7, Batch    238, Loss  1.443606, Average Loss  1.447334, Time  0.443590
2021-09-24 13:49:56.073262 : Epoch  7, Batch    239, Loss  1.460277, Average Loss  1.447370, Time  0.446555
2021-09-24 13:50:02.035194 : Epoch  7, Batch    240, Loss  1.442477, Average Loss  1.447380, Time  0.452818
2021-09-24 13:50:07.999500 : Epoch  7, Batch    241, Loss  1.446403, Average Loss  1.447389, Time  0.444151
2021-09-24 13:50:13.948412 : Epoch  7, Batch    242, Loss  1.450864, Average Loss  1.447376, Time  0.443517
2021-09-24 13:50:19.923796 : Epoch  7, Batch    243, Loss  1.453837, Average Loss  1.447418, Time  0.452641
2021-09-24 13:50:25.885168 : Epoch  7, Batch    244, Loss  1.463389, Average Loss  1.447475, Time  0.445080
2021-09-24 13:50:31.839032 : Epoch  7, Batch    245, Loss  1.444484, Average Loss  1.447451, Time  0.444156
2021-09-24 13:50:37.789939 : Epoch  7, Batch    246, Loss  1.461647, Average Loss  1.447456, Time  0.445189
2021-09-24 13:50:43.737554 : Epoch  7, Batch    247, Loss  1.450158, Average Loss  1.447443, Time  0.445587
2021-09-24 13:50:49.696186 : Epoch  7, Batch    248, Loss  1.441937, Average Loss  1.447415, Time  0.443969
2021-09-24 13:50:55.662116 : Epoch  7, Batch    249, Loss  1.455130, Average Loss  1.447526, Time  0.446096
2021-09-24 13:51:01.663507 : Epoch  7, Batch    250, Loss  1.443751, Average Loss  1.447511, Time  0.457901
2021-09-24 13:51:07.622041 : Epoch  7, Batch    251, Loss  1.445819, Average Loss  1.447425, Time  0.445198
2021-09-24 13:51:13.566624 : Epoch  7, Batch    252, Loss  1.446236, Average Loss  1.447417, Time  0.443905
2021-09-24 13:51:19.521902 : Epoch  7, Batch    253, Loss  1.451357, Average Loss  1.447510, Time  0.447288
2021-09-24 13:51:25.467785 : Epoch  7, Batch    254, Loss  1.452397, Average Loss  1.447521, Time  0.445148
2021-09-24 13:51:31.436669 : Epoch  7, Batch    255, Loss  1.449646, Average Loss  1.447535, Time  0.446408
2021-09-24 13:51:37.403948 : Epoch  7, Batch    256, Loss  1.446614, Average Loss  1.447511, Time  0.443773
2021-09-24 13:51:43.348712 : Epoch  7, Batch    257, Loss  1.449277, Average Loss  1.447588, Time  0.446785
2021-09-24 13:51:49.319968 : Epoch  7, Batch    258, Loss  1.439267, Average Loss  1.447561, Time  0.454163
2021-09-24 13:51:55.294124 : Epoch  7, Batch    259, Loss  1.443553, Average Loss  1.447550, Time  0.444578
2021-09-24 13:52:01.250923 : Epoch  7, Batch    260, Loss  1.447463, Average Loss  1.447493, Time  0.452068
2021-09-24 13:52:07.194897 : Epoch  7, Batch    261, Loss  1.443898, Average Loss  1.447583, Time  0.444346
2021-09-24 13:52:13.142158 : Epoch  7, Batch    262, Loss  1.438911, Average Loss  1.447553, Time  0.444054
2021-09-24 13:52:19.108748 : Epoch  7, Batch    263, Loss  1.462503, Average Loss  1.447620, Time  0.444778
2021-09-24 13:52:25.058765 : Epoch  7, Batch    264, Loss  1.449571, Average Loss  1.447613, Time  0.446465
2021-09-24 13:52:31.741165 : Epoch  7, Batch    265, Loss  1.445924, Average Loss  1.447663, Time  0.449939
2021-09-24 13:53:01.899283 : Epoch  7, Batch    266, Loss  1.442994, Average Loss  1.447604, Time  0.455048
2021-09-24 13:53:07.930867 : Epoch  7, Batch    267, Loss  1.462798, Average Loss  1.447688, Time  0.446219
2021-09-24 13:53:13.876931 : Epoch  7, Batch    268, Loss  1.454398, Average Loss  1.447715, Time  0.444068
2021-09-24 13:53:19.847018 : Epoch  7, Batch    269, Loss  1.452509, Average Loss  1.447750, Time  0.456774
2021-09-24 13:53:25.793541 : Epoch  7, Batch    270, Loss  1.455462, Average Loss  1.447731, Time  0.444508
2021-09-24 13:53:31.743704 : Epoch  7, Batch    271, Loss  1.451261, Average Loss  1.447791, Time  0.444118
2021-09-24 13:53:37.688807 : Epoch  7, Batch    272, Loss  1.440718, Average Loss  1.447714, Time  0.446340
2021-09-24 13:53:43.646112 : Epoch  7, Batch    273, Loss  1.449804, Average Loss  1.447691, Time  0.459014
2021-09-24 13:53:49.579207 : Epoch  7, Batch    274, Loss  1.451515, Average Loss  1.447699, Time  0.446838
2021-09-24 13:53:55.506446 : Epoch  7, Batch    275, Loss  1.441734, Average Loss  1.447614, Time  0.444617
2021-09-24 13:54:01.452944 : Epoch  7, Batch    276, Loss  1.449471, Average Loss  1.447646, Time  0.444674
2021-09-24 13:54:07.416881 : Epoch  7, Batch    277, Loss  1.441999, Average Loss  1.447652, Time  0.462717
2021-09-24 13:54:13.400048 : Epoch  7, Batch    278, Loss  1.448405, Average Loss  1.447654, Time  0.446915
2021-09-24 13:54:19.345335 : Epoch  7, Batch    279, Loss  1.435967, Average Loss  1.447631, Time  0.445739
2021-09-24 13:54:25.290846 : Epoch  7, Batch    280, Loss  1.457177, Average Loss  1.447643, Time  0.444518
2021-09-24 13:54:31.224482 : Epoch  7, Batch    281, Loss  1.436340, Average Loss  1.447514, Time  0.447541
2021-09-24 13:54:37.166463 : Epoch  7, Batch    282, Loss  1.444971, Average Loss  1.447501, Time  0.443992
2021-09-24 13:54:43.105459 : Epoch  7, Batch    283, Loss  1.435875, Average Loss  1.447481, Time  0.443802
2021-09-24 13:54:49.049252 : Epoch  7, Batch    284, Loss  1.442251, Average Loss  1.447427, Time  0.443696
2021-09-24 13:54:55.001263 : Epoch  7, Batch    285, Loss  1.452937, Average Loss  1.447447, Time  0.452619
2021-09-24 13:55:00.944925 : Epoch  7, Batch    286, Loss  1.449516, Average Loss  1.447454, Time  0.447477
2021-09-24 13:55:06.891423 : Epoch  7, Batch    287, Loss  1.442750, Average Loss  1.447497, Time  0.446238
2021-09-24 13:55:12.847915 : Epoch  7, Batch    288, Loss  1.439724, Average Loss  1.447472, Time  0.449104
2021-09-24 13:55:18.793816 : Epoch  7, Batch    289, Loss  1.453559, Average Loss  1.447459, Time  0.445064
2021-09-24 13:55:24.735957 : Epoch  7, Batch    290, Loss  1.446842, Average Loss  1.447437, Time  0.445452
2021-09-24 13:55:30.676144 : Epoch  7, Batch    291, Loss  1.448785, Average Loss  1.447482, Time  0.444845
2021-09-24 13:55:36.631574 : Epoch  7, Batch    292, Loss  1.447850, Average Loss  1.447521, Time  0.452339
2021-09-24 13:55:42.576259 : Epoch  7, Batch    293, Loss  1.441399, Average Loss  1.447522, Time  0.444581
2021-09-24 13:55:48.529113 : Epoch  7, Batch    294, Loss  1.431726, Average Loss  1.447372, Time  0.450253
2021-09-24 13:55:54.491964 : Epoch  7, Batch    295, Loss  1.454033, Average Loss  1.447362, Time  0.448098
2021-09-24 13:56:00.441973 : Epoch  7, Batch    296, Loss  1.453870, Average Loss  1.447435, Time  0.443734
2021-09-24 13:56:06.383790 : Epoch  7, Batch    297, Loss  1.457384, Average Loss  1.447527, Time  0.445134
2021-09-24 13:56:12.331044 : Epoch  7, Batch    298, Loss  1.457067, Average Loss  1.447597, Time  0.444446
2021-09-24 13:56:18.280022 : Epoch  7, Batch    299, Loss  1.446087, Average Loss  1.447603, Time  0.443311
2021-09-24 13:56:24.261045 : Epoch  7, Batch    300, Loss  1.451195, Average Loss  1.447609, Time  0.456972
2021-09-24 13:56:30.222896 : Epoch  7, Batch    301, Loss  1.443679, Average Loss  1.447593, Time  0.445449
2021-09-24 13:56:36.150420 : Epoch  7, Batch    302, Loss  1.458211, Average Loss  1.447623, Time  0.444068
2021-09-24 13:56:42.100444 : Epoch  7, Batch    303, Loss  1.449851, Average Loss  1.447691, Time  0.445676
2021-09-24 13:56:48.041575 : Epoch  7, Batch    304, Loss  1.453164, Average Loss  1.447739, Time  0.444742
2021-09-24 13:56:53.991770 : Epoch  7, Batch    305, Loss  1.449344, Average Loss  1.447760, Time  0.446660
2021-09-24 13:56:59.939845 : Epoch  7, Batch    306, Loss  1.446613, Average Loss  1.447776, Time  0.444510
2021-09-24 13:57:05.889802 : Epoch  7, Batch    307, Loss  1.445253, Average Loss  1.447740, Time  0.447213
2021-09-24 13:57:11.862328 : Epoch  7, Batch    308, Loss  1.446316, Average Loss  1.447743, Time  0.453439
2021-09-24 13:57:17.811796 : Epoch  7, Batch    309, Loss  1.445647, Average Loss  1.447742, Time  0.444712
2021-09-24 13:57:23.749689 : Epoch  7, Batch    310, Loss  1.455484, Average Loss  1.447812, Time  0.444517
2021-09-24 13:57:29.700220 : Epoch  7, Batch    311, Loss  1.446030, Average Loss  1.447865, Time  0.446874
2021-09-24 13:57:35.652036 : Epoch  7, Batch    312, Loss  1.441259, Average Loss  1.447835, Time  0.443415
2021-09-24 13:57:41.608801 : Epoch  7, Batch    313, Loss  1.449606, Average Loss  1.447824, Time  0.444490
2021-09-24 13:57:47.554980 : Epoch  7, Batch    314, Loss  1.446084, Average Loss  1.447913, Time  0.443365
2021-09-24 13:57:53.500385 : Epoch  7, Batch    315, Loss  1.448095, Average Loss  1.447878, Time  0.450565
2021-09-24 13:57:59.447232 : Epoch  7, Batch    316, Loss  1.450483, Average Loss  1.447897, Time  0.443828
2021-09-24 13:58:05.392003 : Epoch  7, Batch    317, Loss  1.448447, Average Loss  1.447879, Time  0.446361
2021-09-24 13:58:11.321892 : Epoch  7, Batch    318, Loss  1.460765, Average Loss  1.447979, Time  0.447181
2021-09-24 13:58:17.275839 : Epoch  7, Batch    319, Loss  1.428683, Average Loss  1.447859, Time  0.444391
2021-09-24 13:58:23.216059 : Epoch  7, Batch    320, Loss  1.459784, Average Loss  1.448025, Time  0.443639
2021-09-24 13:58:29.142395 : Epoch  7, Batch    321, Loss  1.446596, Average Loss  1.447980, Time  0.443512
2021-09-24 13:58:35.099095 : Epoch  7, Batch    322, Loss  1.455180, Average Loss  1.447984, Time  0.449791
2021-09-24 13:58:41.060909 : Epoch  7, Batch    323, Loss  1.436608, Average Loss  1.447995, Time  0.459930
2021-09-24 13:58:47.010949 : Epoch  7, Batch    324, Loss  1.471501, Average Loss  1.448124, Time  0.444308
2021-09-24 13:58:52.951251 : Epoch  7, Batch    325, Loss  1.440397, Average Loss  1.448087, Time  0.446588
2021-09-24 13:58:58.884872 : Epoch  7, Batch    326, Loss  1.451526, Average Loss  1.448087, Time  0.443831
2021-09-24 13:59:04.835979 : Epoch  7, Batch    327, Loss  1.450683, Average Loss  1.448158, Time  0.445560
2021-09-24 13:59:10.791277 : Epoch  7, Batch    328, Loss  1.447859, Average Loss  1.448245, Time  0.446697
2021-09-24 13:59:16.747722 : Epoch  7, Batch    329, Loss  1.446314, Average Loss  1.448271, Time  0.443669
2021-09-24 13:59:22.700552 : Epoch  7, Batch    330, Loss  1.445191, Average Loss  1.448272, Time  0.445501
2021-09-24 13:59:28.675699 : Epoch  7, Batch    331, Loss  1.444665, Average Loss  1.448213, Time  0.459764
2021-09-24 13:59:34.647391 : Epoch  7, Batch    332, Loss  1.449913, Average Loss  1.448250, Time  0.450359
2021-09-24 14:04:12.745469 : CheckPoint: Validation Loss  0.00024906, Best Loss  0.00024587
2021-09-24 14:04:18.692885 : Epoch  7, Batch    333, Loss  1.435799, Average Loss  1.448185, Time  0.445504
2021-09-24 14:04:24.655607 : Epoch  7, Batch    334, Loss  1.455171, Average Loss  1.448171, Time  0.444792
2021-09-24 14:04:30.597397 : Epoch  7, Batch    335, Loss  1.438592, Average Loss  1.448051, Time  0.445782
2021-09-24 14:04:36.546861 : Epoch  7, Batch    336, Loss  1.455783, Average Loss  1.448056, Time  0.444172
2021-09-24 14:04:42.491143 : Epoch  7, Batch    337, Loss  1.436795, Average Loss  1.448020, Time  0.443807
2021-09-24 14:04:48.448050 : Epoch  7, Batch    338, Loss  1.451788, Average Loss  1.447982, Time  0.453037
2021-09-24 14:04:54.394786 : Epoch  7, Batch    339, Loss  1.442384, Average Loss  1.447963, Time  0.443468
2021-09-24 14:05:00.337895 : Epoch  7, Batch    340, Loss  1.454360, Average Loss  1.448017, Time  0.443185
2021-09-24 14:05:06.282925 : Epoch  7, Batch    341, Loss  1.450447, Average Loss  1.448028, Time  0.447839
2021-09-24 14:05:12.243204 : Epoch  7, Batch    342, Loss  1.453166, Average Loss  1.448037, Time  0.443236
2021-09-24 14:05:18.192060 : Epoch  7, Batch    343, Loss  1.455441, Average Loss  1.448093, Time  0.444061
2021-09-24 14:05:24.132609 : Epoch  7, Batch    344, Loss  1.452053, Average Loss  1.448069, Time  0.446846
2021-09-24 14:05:30.066167 : Epoch  7, Batch    345, Loss  1.447545, Average Loss  1.448090, Time  0.443392
2021-09-24 14:05:36.021112 : Epoch  7, Batch    346, Loss  1.455378, Average Loss  1.448115, Time  0.455746
2021-09-24 14:05:41.952395 : Epoch  7, Batch    347, Loss  1.460509, Average Loss  1.448180, Time  0.445698
2021-09-24 14:05:47.907762 : Epoch  7, Batch    348, Loss  1.435269, Average Loss  1.448064, Time  0.444943
2021-09-24 14:05:53.863505 : Epoch  7, Batch    349, Loss  1.440486, Average Loss  1.447956, Time  0.443395
2021-09-24 14:05:59.807910 : Epoch  7, Batch    350, Loss  1.448330, Average Loss  1.447943, Time  0.445598
2021-09-24 14:06:05.759089 : Epoch  7, Batch    351, Loss  1.449705, Average Loss  1.447956, Time  0.442998
2021-09-24 14:06:11.709101 : Epoch  7, Batch    352, Loss  1.436872, Average Loss  1.447857, Time  0.443495
2021-09-24 14:06:17.664805 : Epoch  7, Batch    353, Loss  1.442049, Average Loss  1.447820, Time  0.444530
2021-09-24 14:06:23.621270 : Epoch  7, Batch    354, Loss  1.458470, Average Loss  1.447876, Time  0.458662
2021-09-24 14:06:29.566523 : Epoch  7, Batch    355, Loss  1.442225, Average Loss  1.447829, Time  0.444641
2021-09-24 14:06:35.520086 : Epoch  7, Batch    356, Loss  1.451259, Average Loss  1.447807, Time  0.444798
2021-09-24 14:06:41.470322 : Epoch  7, Batch    357, Loss  1.447202, Average Loss  1.447819, Time  0.443804
2021-09-24 14:06:47.417382 : Epoch  7, Batch    358, Loss  1.447614, Average Loss  1.447889, Time  0.443810
2021-09-24 14:06:53.379441 : Epoch  7, Batch    359, Loss  1.453228, Average Loss  1.447878, Time  0.443519
2021-09-24 14:06:59.332836 : Epoch  7, Batch    360, Loss  1.447592, Average Loss  1.447820, Time  0.446578
2021-09-24 14:07:05.293786 : Epoch  7, Batch    361, Loss  1.444092, Average Loss  1.447843, Time  0.444044
2021-09-24 14:07:11.257966 : Epoch  7, Batch    362, Loss  1.455202, Average Loss  1.447864, Time  0.459573
2021-09-24 14:07:17.194065 : Epoch  7, Batch    363, Loss  1.446859, Average Loss  1.447945, Time  0.444299
2021-09-24 14:07:23.139504 : Epoch  7, Batch    364, Loss  1.439210, Average Loss  1.447932, Time  0.448344
2021-09-24 14:07:29.095748 : Epoch  7, Batch    365, Loss  1.443660, Average Loss  1.447932, Time  0.447899
2021-09-24 14:07:35.042918 : Epoch  7, Batch    366, Loss  1.441254, Average Loss  1.447910, Time  0.443655
2021-09-24 14:07:40.995216 : Epoch  7, Batch    367, Loss  1.435162, Average Loss  1.447837, Time  0.443908
2021-09-24 14:07:46.934780 : Epoch  7, Batch    368, Loss  1.433597, Average Loss  1.447741, Time  0.443083
2021-09-24 14:07:52.875168 : Epoch  7, Batch    369, Loss  1.452823, Average Loss  1.447826, Time  0.446033
2021-09-24 14:07:58.848657 : Epoch  7, Batch    370, Loss  1.448443, Average Loss  1.447874, Time  0.463409
2021-09-24 14:08:04.778608 : Epoch  7, Batch    371, Loss  1.449287, Average Loss  1.447906, Time  0.443035
2021-09-24 14:08:10.732818 : Epoch  7, Batch    372, Loss  1.447808, Average Loss  1.447915, Time  0.447863
2021-09-24 14:08:16.691887 : Epoch  7, Batch    373, Loss  1.442658, Average Loss  1.447958, Time  0.447268
2021-09-24 14:08:22.637888 : Epoch  7, Batch    374, Loss  1.464642, Average Loss  1.447999, Time  0.444532
2021-09-24 14:08:28.579345 : Epoch  7, Batch    375, Loss  1.442545, Average Loss  1.448004, Time  0.446154
2021-09-24 14:08:34.529758 : Epoch  7, Batch    376, Loss  1.455296, Average Loss  1.448035, Time  0.444803
2021-09-24 14:08:40.492801 : Epoch  7, Batch    377, Loss  1.448506, Average Loss  1.447954, Time  0.458518
2021-09-24 14:08:46.449834 : Epoch  7, Batch    378, Loss  1.445608, Average Loss  1.448005, Time  0.445139
2021-09-24 14:08:52.403374 : Epoch  7, Batch    379, Loss  1.448757, Average Loss  1.447924, Time  0.446072
2021-09-24 14:08:58.360926 : Epoch  7, Batch    380, Loss  1.452628, Average Loss  1.447968, Time  0.444062
2021-09-24 14:09:04.321790 : Epoch  7, Batch    381, Loss  1.455775, Average Loss  1.448051, Time  0.445100
2021-09-24 14:09:10.277850 : Epoch  7, Batch    382, Loss  1.452456, Average Loss  1.448054, Time  0.444228
2021-09-24 14:09:16.243165 : Epoch  7, Batch    383, Loss  1.436577, Average Loss  1.447999, Time  0.445390
2021-09-24 14:09:22.211998 : Epoch  7, Batch    384, Loss  1.433792, Average Loss  1.447886, Time  0.443819
2021-09-24 14:09:28.175774 : Epoch  7, Batch    385, Loss  1.441717, Average Loss  1.447862, Time  0.456294
2021-09-24 14:09:34.125166 : Epoch  7, Batch    386, Loss  1.449278, Average Loss  1.447815, Time  0.443831
2021-09-24 14:09:40.069370 : Epoch  7, Batch    387, Loss  1.447704, Average Loss  1.447811, Time  0.444103
2021-09-24 14:09:46.032290 : Epoch  7, Batch    388, Loss  1.440750, Average Loss  1.447760, Time  0.446212
2021-09-24 14:09:51.976609 : Epoch  7, Batch    389, Loss  1.437564, Average Loss  1.447713, Time  0.444910
2021-09-24 14:09:57.930379 : Epoch  7, Batch    390, Loss  1.440551, Average Loss  1.447713, Time  0.446064
2021-09-24 14:10:03.879268 : Epoch  7, Batch    391, Loss  1.438058, Average Loss  1.447668, Time  0.445440
2021-09-24 14:10:09.834881 : Epoch  7, Batch    392, Loss  1.443852, Average Loss  1.447613, Time  0.448362
2021-09-24 14:10:15.801744 : Epoch  7, Batch    393, Loss  1.442567, Average Loss  1.447593, Time  0.456118
2021-09-24 14:10:21.757329 : Epoch  7, Batch    394, Loss  1.446676, Average Loss  1.447577, Time  0.446234
2021-09-24 14:10:27.708904 : Epoch  7, Batch    395, Loss  1.444590, Average Loss  1.447558, Time  0.444325
2021-09-24 14:10:33.657613 : Epoch  7, Batch    396, Loss  1.437725, Average Loss  1.447581, Time  0.447422
2021-09-24 14:10:39.599098 : Epoch  7, Batch    397, Loss  1.446409, Average Loss  1.447595, Time  0.445904
2021-09-24 14:10:45.553923 : Epoch  7, Batch    398, Loss  1.445971, Average Loss  1.447551, Time  0.446600
2021-09-24 14:10:51.500838 : Epoch  7, Batch    399, Loss  1.450116, Average Loss  1.447621, Time  0.444794
2021-09-24 14:10:57.461243 : Epoch  7, Batch    400, Loss  1.450835, Average Loss  1.447672, Time  0.449953
2021-09-24 14:11:03.423284 : Epoch  7, Batch    401, Loss  1.429817, Average Loss  1.447599, Time  0.443511
2021-09-24 14:11:09.377558 : Epoch  7, Batch    402, Loss  1.449732, Average Loss  1.447600, Time  0.444360
2021-09-24 14:11:15.320062 : Epoch  7, Batch    403, Loss  1.447040, Average Loss  1.447569, Time  0.448130
2021-09-24 14:11:21.264493 : Epoch  7, Batch    404, Loss  1.456399, Average Loss  1.447608, Time  0.445085
2021-09-24 14:11:27.215899 : Epoch  7, Batch    405, Loss  1.442770, Average Loss  1.447573, Time  0.444771
2021-09-24 14:11:33.179329 : Epoch  7, Batch    406, Loss  1.452043, Average Loss  1.447535, Time  0.443860
2021-09-24 14:11:39.126938 : Epoch  7, Batch    407, Loss  1.447526, Average Loss  1.447513, Time  0.444429
2021-09-24 14:11:45.092520 : Epoch  7, Batch    408, Loss  1.458235, Average Loss  1.447566, Time  0.455397
2021-09-24 14:11:51.047746 : Epoch  7, Batch    409, Loss  1.444685, Average Loss  1.447612, Time  0.444676
2021-09-24 14:11:56.993114 : Epoch  7, Batch    410, Loss  1.456116, Average Loss  1.447653, Time  0.443834
2021-09-24 14:12:02.941372 : Epoch  7, Batch    411, Loss  1.451471, Average Loss  1.447650, Time  0.443517
2021-09-24 14:12:08.902958 : Epoch  7, Batch    412, Loss  1.462965, Average Loss  1.447821, Time  0.444184
2021-09-24 14:12:14.846866 : Epoch  7, Batch    413, Loss  1.450866, Average Loss  1.447865, Time  0.445756
2021-09-24 14:12:20.805859 : Epoch  7, Batch    414, Loss  1.450649, Average Loss  1.447845, Time  0.445917
2021-09-24 14:12:26.754784 : Epoch  7, Batch    415, Loss  1.451048, Average Loss  1.447807, Time  0.445036
2021-09-24 14:12:32.702805 : Epoch  7, Batch    416, Loss  1.452698, Average Loss  1.447891, Time  0.454350
2021-09-24 14:12:38.633927 : Epoch  7, Batch    417, Loss  1.440774, Average Loss  1.447886, Time  0.446845
2021-09-24 14:12:44.597178 : Epoch  7, Batch    418, Loss  1.448050, Average Loss  1.447881, Time  0.449701
2021-09-24 14:12:50.553863 : Epoch  7, Batch    419, Loss  1.445016, Average Loss  1.447892, Time  0.445531
2021-09-24 14:12:56.519810 : Epoch  7, Batch    420, Loss  1.457631, Average Loss  1.447916, Time  0.444110
2021-09-24 14:13:02.467531 : Epoch  7, Batch    421, Loss  1.450633, Average Loss  1.447936, Time  0.446970
2021-09-24 14:13:08.428938 : Epoch  7, Batch    422, Loss  1.444693, Average Loss  1.447952, Time  0.449290
2021-09-24 14:13:14.382465 : Epoch  7, Batch    423, Loss  1.435259, Average Loss  1.447901, Time  0.459740
2021-09-24 14:13:20.326489 : Epoch  7, Batch    424, Loss  1.448014, Average Loss  1.447978, Time  0.443608
2021-09-24 14:13:26.284967 : Epoch  7, Batch    425, Loss  1.443711, Average Loss  1.447953, Time  0.444256
2021-09-24 14:13:32.238772 : Epoch  7, Batch    426, Loss  1.455600, Average Loss  1.447984, Time  0.445111
2021-09-24 14:13:38.198901 : Epoch  7, Batch    427, Loss  1.436493, Average Loss  1.447944, Time  0.448651
2021-09-24 14:13:44.154841 : Epoch  7, Batch    428, Loss  1.453029, Average Loss  1.447873, Time  0.447531
2021-09-24 14:13:50.092894 : Epoch  7, Batch    429, Loss  1.446726, Average Loss  1.447832, Time  0.443840
2021-09-24 14:13:56.040763 : Epoch  7, Batch    430, Loss  1.433372, Average Loss  1.447792, Time  0.443878
2021-09-24 14:14:01.998138 : Epoch  7, Batch    431, Loss  1.454409, Average Loss  1.447811, Time  0.460746
2021-09-24 14:14:13.454899 : Epoch  7, Batch    432, Loss  1.449214, Average Loss  1.447795, Time  0.444112
2021-09-24 14:18:52.207761 : CheckPoint: Validation Loss  0.00025262, Best Loss  0.00024587
2021-09-24 14:18:58.167314 : Epoch  7, Batch    433, Loss  1.451572, Average Loss  1.447764, Time  0.444083
2021-09-24 14:19:04.111528 : Epoch  7, Batch    434, Loss  1.449284, Average Loss  1.447784, Time  0.446281
2021-09-24 14:19:10.069515 : Epoch  7, Batch    435, Loss  1.452310, Average Loss  1.447774, Time  0.445261
2021-09-24 14:19:16.034065 : Epoch  7, Batch    436, Loss  1.448122, Average Loss  1.447781, Time  0.443746
2021-09-24 14:19:22.006902 : Epoch  7, Batch    437, Loss  1.450467, Average Loss  1.447825, Time  0.460061
2021-09-24 14:19:27.959910 : Epoch  7, Batch    438, Loss  1.441672, Average Loss  1.447815, Time  0.444009
2021-09-24 14:19:33.915916 : Epoch  7, Batch    439, Loss  1.443045, Average Loss  1.447729, Time  0.447007
2021-09-24 14:19:39.867574 : Epoch  7, Batch    440, Loss  1.449802, Average Loss  1.447766, Time  0.446368
2021-09-24 14:19:45.826849 : Epoch  7, Batch    441, Loss  1.468600, Average Loss  1.447877, Time  0.443966
2021-09-24 14:19:51.820862 : Epoch  7, Batch    442, Loss  1.454919, Average Loss  1.447897, Time  0.445175
2021-09-24 14:19:57.781610 : Epoch  7, Batch    443, Loss  1.441717, Average Loss  1.447836, Time  0.447178
2021-09-24 14:20:03.748841 : Epoch  7, Batch    444, Loss  1.440713, Average Loss  1.447723, Time  0.443602
2021-09-24 14:20:09.733431 : Epoch  7, Batch    445, Loss  1.436854, Average Loss  1.447685, Time  0.453860
2021-09-24 14:20:15.712435 : Epoch  7, Batch    446, Loss  1.453300, Average Loss  1.447643, Time  0.444471
2021-09-24 14:20:21.665352 : Epoch  7, Batch    447, Loss  1.440629, Average Loss  1.447595, Time  0.443127
2021-09-24 14:20:27.620979 : Epoch  7, Batch    448, Loss  1.454601, Average Loss  1.447659, Time  0.444463
2021-09-24 14:20:33.575361 : Epoch  7, Batch    449, Loss  1.446029, Average Loss  1.447613, Time  0.444544
2021-09-24 14:20:39.527735 : Epoch  7, Batch    450, Loss  1.453538, Average Loss  1.447662, Time  0.444495
2021-09-24 14:20:45.496441 : Epoch  7, Batch    451, Loss  1.446904, Average Loss  1.447667, Time  0.444941
2021-09-24 14:20:51.467380 : Epoch  7, Batch    452, Loss  1.445968, Average Loss  1.447666, Time  0.458525
2021-09-24 14:20:57.424390 : Epoch  7, Batch    453, Loss  1.442207, Average Loss  1.447620, Time  0.443785
2021-09-24 14:21:03.401979 : Epoch  7, Batch    454, Loss  1.451291, Average Loss  1.447615, Time  0.448178
2021-09-24 14:21:09.360808 : Epoch  7, Batch    455, Loss  1.442448, Average Loss  1.447579, Time  0.443290
2021-09-24 14:21:15.314725 : Epoch  7, Batch    456, Loss  1.451511, Average Loss  1.447603, Time  0.445270
2021-09-24 14:21:21.274609 : Epoch  7, Batch    457, Loss  1.447887, Average Loss  1.447596, Time  0.445447
2021-09-24 14:21:27.224830 : Epoch  7, Batch    458, Loss  1.455585, Average Loss  1.447678, Time  0.444564
2021-09-24 14:21:33.177783 : Epoch  7, Batch    459, Loss  1.452795, Average Loss  1.447724, Time  0.444671
2021-09-24 14:21:39.145422 : Epoch  7, Batch    460, Loss  1.452205, Average Loss  1.447748, Time  0.458430
2021-09-24 14:21:45.133320 : Epoch  7, Batch    461, Loss  1.440261, Average Loss  1.447730, Time  0.443253
2021-09-24 14:21:51.071665 : Epoch  7, Batch    462, Loss  1.446681, Average Loss  1.447769, Time  0.445798
2021-09-24 14:21:57.039905 : Epoch  7, Batch    463, Loss  1.442126, Average Loss  1.447667, Time  0.445472
2021-09-24 14:22:03.003725 : Epoch  7, Batch    464, Loss  1.448431, Average Loss  1.447661, Time  0.444934
2021-09-24 14:22:08.958092 : Epoch  7, Batch    465, Loss  1.441715, Average Loss  1.447640, Time  0.443623
2021-09-24 14:22:14.909004 : Epoch  7, Batch    466, Loss  1.432283, Average Loss  1.447586, Time  0.444554
2021-09-24 14:22:20.884180 : Epoch  7, Batch    467, Loss  1.445596, Average Loss  1.447500, Time  0.443700
2021-09-24 14:22:26.865806 : Epoch  7, Batch    468, Loss  1.438874, Average Loss  1.447423, Time  0.458790
2021-09-24 14:22:32.822169 : Epoch  7, Batch    469, Loss  1.450305, Average Loss  1.447412, Time  0.444623
2021-09-24 14:22:38.792008 : Epoch  7, Batch    470, Loss  1.438811, Average Loss  1.447328, Time  0.448579
2021-09-24 14:22:44.753839 : Epoch  7, Batch    471, Loss  1.453162, Average Loss  1.447338, Time  0.443542
2021-09-24 14:22:50.706305 : Epoch  7, Batch    472, Loss  1.437612, Average Loss  1.447322, Time  0.444959
2021-09-24 14:22:56.668387 : Epoch  7, Batch    473, Loss  1.454236, Average Loss  1.447345, Time  0.444134
2021-09-24 14:23:02.629032 : Epoch  7, Batch    474, Loss  1.449666, Average Loss  1.447335, Time  0.443968
2021-09-24 14:23:08.597424 : Epoch  7, Batch    475, Loss  1.447318, Average Loss  1.447363, Time  0.456220
2021-09-24 14:23:14.594834 : Epoch  7, Batch    476, Loss  1.440557, Average Loss  1.447319, Time  0.450327
2021-09-24 14:23:20.577358 : Epoch  7, Batch    477, Loss  1.438346, Average Loss  1.447300, Time  0.447193
2021-09-24 14:23:26.546433 : Epoch  7, Batch    478, Loss  1.445920, Average Loss  1.447288, Time  0.444561
2021-09-24 14:23:32.497115 : Epoch  7, Batch    479, Loss  1.436306, Average Loss  1.447290, Time  0.443197
2021-09-24 14:23:38.467544 : Epoch  7, Batch    480, Loss  1.441768, Average Loss  1.447213, Time  0.449518
2021-09-24 14:23:44.438038 : Epoch  7, Batch    481, Loss  1.455314, Average Loss  1.447308, Time  0.449520
2021-09-24 14:23:50.391006 : Epoch  7, Batch    482, Loss  1.458028, Average Loss  1.447373, Time  0.445510
2021-09-24 14:23:56.360006 : Epoch  7, Batch    483, Loss  1.438619, Average Loss  1.447387, Time  0.453784
2021-09-24 14:24:02.308799 : Epoch  7, Batch    484, Loss  1.444382, Average Loss  1.447397, Time  0.446545
2021-09-24 14:24:08.255681 : Epoch  7, Batch    485, Loss  1.450898, Average Loss  1.447387, Time  0.443068
2021-09-24 14:24:14.216264 : Epoch  7, Batch    486, Loss  1.445571, Average Loss  1.447367, Time  0.444641
2021-09-24 14:24:20.175548 : Epoch  7, Batch    487, Loss  1.446320, Average Loss  1.447385, Time  0.443963
2021-09-24 14:24:26.130546 : Epoch  7, Batch    488, Loss  1.448611, Average Loss  1.447430, Time  0.444467
2021-09-24 14:24:32.097225 : Epoch  7, Batch    489, Loss  1.453128, Average Loss  1.447427, Time  0.444759
2021-09-24 14:24:38.057868 : Epoch  7, Batch    490, Loss  1.457211, Average Loss  1.447479, Time  0.445015
2021-09-24 14:24:44.031735 : Epoch  7, Batch    491, Loss  1.451048, Average Loss  1.447491, Time  0.461942
2021-09-24 14:24:49.975416 : Epoch  7, Batch    492, Loss  1.448730, Average Loss  1.447495, Time  0.445495
2021-09-24 14:24:55.930317 : Epoch  7, Batch    493, Loss  1.457075, Average Loss  1.447573, Time  0.443003
2021-09-24 14:25:01.862721 : Epoch  7, Batch    494, Loss  1.451735, Average Loss  1.447673, Time  0.443646
2021-09-24 14:25:07.816674 : Epoch  7, Batch    495, Loss  1.440589, Average Loss  1.447606, Time  0.444748
2021-09-24 14:25:13.756310 : Epoch  7, Batch    496, Loss  1.449946, Average Loss  1.447587, Time  0.444339
2021-09-24 14:25:19.709604 : Epoch  7, Batch    497, Loss  1.436890, Average Loss  1.447484, Time  0.444941
2021-09-24 14:25:25.665864 : Epoch  7, Batch    498, Loss  1.453918, Average Loss  1.447468, Time  0.443885
2021-09-24 14:25:31.632734 : Epoch  7, Batch    499, Loss  1.445921, Average Loss  1.447468, Time  0.452712
2021-09-24 14:25:37.603080 : Epoch  7, Batch    500, Loss  1.442828, Average Loss  1.447426, Time  0.444300
2021-09-24 14:25:43.564934 : Epoch  7, Batch    501, Loss  1.441811, Average Loss  1.447416, Time  0.445315
2021-09-24 14:25:49.530506 : Epoch  7, Batch    502, Loss  1.449850, Average Loss  1.447375, Time  0.458120
2021-09-24 14:25:55.481330 : Epoch  7, Batch    503, Loss  1.434462, Average Loss  1.447298, Time  0.448377
2021-09-24 14:26:01.437765 : Epoch  7, Batch    504, Loss  1.429808, Average Loss  1.447181, Time  0.445138
2021-09-24 14:26:07.392187 : Epoch  7, Batch    505, Loss  1.451086, Average Loss  1.447190, Time  0.446968
2021-09-24 14:26:13.344647 : Epoch  7, Batch    506, Loss  1.462144, Average Loss  1.447267, Time  0.445498
2021-09-24 14:26:19.319332 : Epoch  7, Batch    507, Loss  1.445580, Average Loss  1.447269, Time  0.461349
2021-09-24 14:26:25.275968 : Epoch  7, Batch    508, Loss  1.442125, Average Loss  1.447248, Time  0.449095
2021-09-24 14:26:31.247264 : Epoch  7, Batch    509, Loss  1.443295, Average Loss  1.447236, Time  0.446016
2021-09-24 14:26:37.195848 : Epoch  7, Batch    510, Loss  1.443477, Average Loss  1.447176, Time  0.443879
2021-09-24 14:26:43.140893 : Epoch  7, Batch    511, Loss  1.452019, Average Loss  1.447206, Time  0.443260
2021-09-24 14:26:49.103614 : Epoch  7, Batch    512, Loss  1.438375, Average Loss  1.447192, Time  0.445808
2021-09-24 14:26:55.056701 : Epoch  7, Batch    513, Loss  1.450867, Average Loss  1.447198, Time  0.443107
2021-09-24 14:27:01.017971 : Epoch  7, Batch    514, Loss  1.451145, Average Loss  1.447223, Time  0.446722
2021-09-24 14:27:06.987063 : Epoch  7, Batch    515, Loss  1.441456, Average Loss  1.447190, Time  0.456935
2021-09-24 14:27:12.927761 : Epoch  7, Batch    516, Loss  1.437466, Average Loss  1.447125, Time  0.445339
2021-09-24 14:27:18.904842 : Epoch  7, Batch    517, Loss  1.451633, Average Loss  1.447141, Time  0.443971
2021-09-24 14:27:24.869227 : Epoch  7, Batch    518, Loss  1.448703, Average Loss  1.447081, Time  0.443824
2021-09-24 14:27:30.820067 : Epoch  7, Batch    519, Loss  1.442132, Average Loss  1.447148, Time  0.444188
2021-09-24 14:27:36.770511 : Epoch  7, Batch    520, Loss  1.446293, Average Loss  1.447080, Time  0.446337
2021-09-24 14:27:42.718993 : Epoch  7, Batch    521, Loss  1.445423, Average Loss  1.447074, Time  0.443975
2021-09-24 14:27:48.669993 : Epoch  7, Batch    522, Loss  1.440863, Average Loss  1.447003, Time  0.452151
2021-09-24 14:27:54.624798 : Epoch  7, Batch    523, Loss  1.453354, Average Loss  1.447087, Time  0.443435
2021-09-24 14:28:00.589200 : Epoch  7, Batch    524, Loss  1.449123, Average Loss  1.446975, Time  0.446747
2021-09-24 14:28:06.539044 : Epoch  7, Batch    525, Loss  1.452696, Average Loss  1.447036, Time  0.444337
2021-09-24 14:28:12.502880 : Epoch  7, Batch    526, Loss  1.448415, Average Loss  1.447021, Time  0.444036
2021-09-24 14:28:18.462457 : Epoch  7, Batch    527, Loss  1.452148, Average Loss  1.447028, Time  0.446267
2021-09-24 14:28:24.419037 : Epoch  7, Batch    528, Loss  1.437189, Average Loss  1.446975, Time  0.451237
2021-09-24 14:28:30.267197 : Epoch  7, Batch    529, Loss  1.440611, Average Loss  1.446946, Time  0.443214
2021-09-24 14:28:35.920680 : Epoch  7, Batch    530, Loss  1.448935, Average Loss  1.446965, Time  0.454006
2021-09-24 14:28:41.544546 : Epoch  7, Batch    531, Loss  1.441908, Average Loss  1.446951, Time  0.441484
2021-09-24 14:28:47.155493 : Epoch  7, Batch    532, Loss  1.450207, Average Loss  1.446953, Time  0.441583
2021-09-24 14:33:10.643878 : CheckPoint: Validation Loss  0.00024683, Best Loss  0.00024587
2021-09-24 14:33:16.285152 : Epoch  7, Batch    533, Loss  1.447171, Average Loss  1.447009, Time  0.441946
2021-09-24 14:33:21.946496 : Epoch  7, Batch    534, Loss  1.440100, Average Loss  1.446934, Time  0.459863
2021-09-24 14:33:27.605056 : Epoch  7, Batch    535, Loss  1.447759, Average Loss  1.446980, Time  0.441947
2021-09-24 14:33:33.258004 : Epoch  7, Batch    536, Loss  1.441941, Average Loss  1.446911, Time  0.442812
2021-09-24 14:33:39.025972 : Epoch  7, Batch    537, Loss  1.455243, Average Loss  1.447003, Time  0.443157
2021-09-24 14:33:44.857074 : Epoch  7, Batch    538, Loss  1.443674, Average Loss  1.446962, Time  0.444589
2021-09-24 14:33:50.559175 : Epoch  7, Batch    539, Loss  1.451332, Average Loss  1.447007, Time  0.443070
2021-09-24 14:33:56.296927 : Epoch  7, Batch    540, Loss  1.448622, Average Loss  1.446978, Time  0.444685
2021-09-24 14:34:02.007303 : Epoch  7, Batch    541, Loss  1.448868, Average Loss  1.446970, Time  0.441003
2021-09-24 14:34:07.672753 : Epoch  7, Batch    542, Loss  1.449368, Average Loss  1.446952, Time  0.454356
2021-09-24 14:34:13.371114 : Epoch  7, Batch    543, Loss  1.431412, Average Loss  1.446831, Time  0.442481
2021-09-24 14:34:19.007535 : Epoch  7, Batch    544, Loss  1.451427, Average Loss  1.446828, Time  0.441565
2021-09-24 14:34:24.692256 : Epoch  7, Batch    545, Loss  1.457602, Average Loss  1.446879, Time  0.442513
2021-09-24 14:34:30.349415 : Epoch  7, Batch    546, Loss  1.444777, Average Loss  1.446826, Time  0.443313
2021-09-24 14:34:36.092636 : Epoch  7, Batch    547, Loss  1.458331, Average Loss  1.446815, Time  0.443372
2021-09-24 14:34:41.938499 : Epoch  7, Batch    548, Loss  1.453782, Average Loss  1.446907, Time  0.442622
2021-09-24 14:34:47.666523 : Epoch  7, Batch    549, Loss  1.450268, Average Loss  1.446956, Time  0.443866
2021-09-24 14:34:53.572070 : Epoch  7, Batch    550, Loss  1.445498, Average Loss  1.446942, Time  0.459023
2021-09-24 14:34:59.222087 : Epoch  7, Batch    551, Loss  1.448942, Average Loss  1.446938, Time  0.442092
2021-09-24 14:35:04.886286 : Epoch  7, Batch    552, Loss  1.443508, Average Loss  1.446971, Time  0.443082
2021-09-24 14:35:10.564712 : Epoch  7, Batch    553, Loss  1.445880, Average Loss  1.446990, Time  0.444065
2021-09-24 14:35:16.285350 : Epoch  7, Batch    554, Loss  1.461415, Average Loss  1.447005, Time  0.442326
2021-09-24 14:35:21.918767 : Epoch  7, Batch    555, Loss  1.455719, Average Loss  1.447073, Time  0.443496
2021-09-24 14:35:27.588224 : Epoch  7, Batch    556, Loss  1.453054, Average Loss  1.447082, Time  0.443602
2021-09-24 14:35:33.305237 : Epoch  7, Batch    557, Loss  1.439023, Average Loss  1.447041, Time  0.443091
2021-09-24 14:35:38.966948 : Epoch  7, Batch    558, Loss  1.446270, Average Loss  1.447034, Time  0.456886
2021-09-24 14:35:44.660936 : Epoch  7, Batch    559, Loss  1.451564, Average Loss  1.447026, Time  0.441806
2021-09-24 14:35:50.230263 : Epoch  7, Batch    560, Loss  1.451122, Average Loss  1.447043, Time  0.441324
2021-09-24 14:35:55.995758 : Epoch  7, Batch    561, Loss  1.452915, Average Loss  1.447087, Time  0.445182
2021-09-24 14:36:01.872513 : Epoch  7, Batch    562, Loss  1.457892, Average Loss  1.447101, Time  0.443921
2021-09-24 14:36:07.561214 : Epoch  7, Batch    563, Loss  1.454763, Average Loss  1.447140, Time  0.443196
2021-09-24 14:36:13.404740 : Epoch  7, Batch    564, Loss  1.449547, Average Loss  1.447192, Time  0.443513
2021-09-24 14:36:19.102887 : Epoch  7, Batch    565, Loss  1.448752, Average Loss  1.447218, Time  0.442829
2021-09-24 14:36:24.695457 : Epoch  7, Batch    566, Loss  1.453517, Average Loss  1.447279, Time  0.453223
2021-09-24 14:36:30.381103 : Epoch  7, Batch    567, Loss  1.450140, Average Loss  1.447354, Time  0.443288
2021-09-24 14:36:36.275870 : Epoch  7, Batch    568, Loss  1.455531, Average Loss  1.447463, Time  0.444748
2021-09-24 14:36:42.101385 : Epoch  7, Batch    569, Loss  1.449205, Average Loss  1.447445, Time  0.443997
2021-09-24 14:36:47.913889 : Epoch  7, Batch    570, Loss  1.448846, Average Loss  1.447447, Time  0.442425
2021-09-24 14:36:53.599524 : Epoch  7, Batch    571, Loss  1.460230, Average Loss  1.447502, Time  0.442244
2021-09-24 14:36:59.288362 : Epoch  7, Batch    572, Loss  1.439158, Average Loss  1.447459, Time  0.441849
2021-09-24 14:37:05.002314 : Epoch  7, Batch    573, Loss  1.446889, Average Loss  1.447480, Time  0.444262
2021-09-24 14:37:10.835471 : Epoch  7, Batch    574, Loss  1.437649, Average Loss  1.447345, Time  0.458039
2021-09-24 14:37:17.208314 : Epoch  7, Batch    575, Loss  1.462202, Average Loss  1.447443, Time  0.469285
2021-09-24 14:37:23.370394 : Epoch  7, Batch    576, Loss  1.449640, Average Loss  1.447415, Time  0.456578
2021-09-24 14:37:29.245030 : Epoch  7, Batch    577, Loss  1.447294, Average Loss  1.447409, Time  0.444676
2021-09-24 14:37:35.154519 : Epoch  7, Batch    578, Loss  1.444089, Average Loss  1.447401, Time  0.443648
2021-09-24 14:37:41.111728 : Epoch  7, Batch    579, Loss  1.452438, Average Loss  1.447420, Time  0.442450
2021-09-24 14:37:47.015804 : Epoch  7, Batch    580, Loss  1.437506, Average Loss  1.447344, Time  0.458152
2021-09-24 14:37:52.938084 : Epoch  7, Batch    581, Loss  1.450897, Average Loss  1.447320, Time  0.460752
2021-09-24 14:37:58.701473 : Epoch  7, Batch    582, Loss  1.446779, Average Loss  1.447291, Time  0.443540
2021-09-24 14:38:04.450979 : Epoch  7, Batch    583, Loss  1.446708, Average Loss  1.447342, Time  0.445244
2021-09-24 14:38:10.154762 : Epoch  7, Batch    584, Loss  1.446169, Average Loss  1.447404, Time  0.442702
2021-09-24 14:38:15.887566 : Epoch  7, Batch    585, Loss  1.444754, Average Loss  1.447419, Time  0.443501
2021-09-24 14:38:21.620282 : Epoch  7, Batch    586, Loss  1.443890, Average Loss  1.447392, Time  0.441314
2021-09-24 14:38:27.315127 : Epoch  7, Batch    587, Loss  1.457630, Average Loss  1.447442, Time  0.446281
2021-09-24 14:38:33.209045 : Epoch  7, Batch    588, Loss  1.461485, Average Loss  1.447545, Time  0.444765
2021-09-24 14:38:38.912900 : Epoch  7, Batch    589, Loss  1.450479, Average Loss  1.447610, Time  0.442206
2021-09-24 14:38:44.535008 : Epoch  7, Batch    590, Loss  1.459042, Average Loss  1.447703, Time  0.458254
2021-09-24 14:38:50.401858 : Epoch  7, Batch    591, Loss  1.457954, Average Loss  1.447802, Time  0.444346
2021-09-24 14:38:56.201305 : Epoch  7, Batch    592, Loss  1.446164, Average Loss  1.447814, Time  0.443537
2021-09-24 14:39:01.958682 : Epoch  7, Batch    593, Loss  1.446070, Average Loss  1.447831, Time  0.443911
2021-09-24 14:39:07.697315 : Epoch  7, Batch    594, Loss  1.442875, Average Loss  1.447812, Time  0.444500
2021-09-24 14:39:13.579675 : Epoch  7, Batch    595, Loss  1.460295, Average Loss  1.447891, Time  0.444847
2021-09-24 14:39:19.388034 : Epoch  7, Batch    596, Loss  1.449204, Average Loss  1.447948, Time  0.444812
2021-09-24 14:39:25.264978 : Epoch  7, Batch    597, Loss  1.444768, Average Loss  1.447940, Time  0.444445
2021-09-24 14:39:31.105120 : Epoch  7, Batch    598, Loss  1.443829, Average Loss  1.447929, Time  0.453191
2021-09-24 14:39:36.835718 : Epoch  7, Batch    599, Loss  1.444866, Average Loss  1.447903, Time  0.442955
2021-09-24 14:39:42.483357 : Epoch  7, Batch    600, Loss  1.446704, Average Loss  1.447882, Time  0.443360
2021-09-24 14:39:48.202837 : Epoch  7, Batch    601, Loss  1.438691, Average Loss  1.447927, Time  0.445432
2021-09-24 14:39:54.054321 : Epoch  7, Batch    602, Loss  1.462509, Average Loss  1.447990, Time  0.444261
2021-09-24 14:39:59.948233 : Epoch  7, Batch    603, Loss  1.443318, Average Loss  1.447972, Time  0.443310
2021-09-24 14:40:05.767813 : Epoch  7, Batch    604, Loss  1.452521, Average Loss  1.447952, Time  0.444007
2021-09-24 14:40:11.624948 : Epoch  7, Batch    605, Loss  1.449661, Average Loss  1.447987, Time  0.443253
2021-09-24 14:40:17.381153 : Epoch  7, Batch    606, Loss  1.433253, Average Loss  1.447893, Time  0.453210
2021-09-24 14:40:23.247623 : Epoch  7, Batch    607, Loss  1.438877, Average Loss  1.447850, Time  0.442501
2021-09-24 14:40:28.869956 : Epoch  7, Batch    608, Loss  1.438184, Average Loss  1.447749, Time  0.444940
2021-09-24 14:40:34.681596 : Epoch  7, Batch    609, Loss  1.441894, Average Loss  1.447735, Time  0.443794
2021-09-24 14:40:40.407842 : Epoch  7, Batch    610, Loss  1.452242, Average Loss  1.447716, Time  0.441270
2021-09-24 14:40:46.263361 : Epoch  7, Batch    611, Loss  1.453078, Average Loss  1.447724, Time  0.445182
2021-09-24 14:40:51.994184 : Epoch  7, Batch    612, Loss  1.442152, Average Loss  1.447620, Time  0.444139
2021-09-24 14:40:57.838944 : Epoch  7, Batch    613, Loss  1.451157, Average Loss  1.447622, Time  0.444000
2021-09-24 14:41:03.743092 : Epoch  7, Batch    614, Loss  1.450885, Average Loss  1.447623, Time  0.458687
2021-09-24 14:41:09.622969 : Epoch  7, Batch    615, Loss  1.444434, Average Loss  1.447590, Time  0.443835
2021-09-24 14:41:15.460952 : Epoch  7, Batch    616, Loss  1.447762, Average Loss  1.447565, Time  0.444201
2021-09-24 14:41:21.244516 : Epoch  7, Batch    617, Loss  1.441272, Average Loss  1.447567, Time  0.442401
2021-09-24 14:41:26.899361 : Epoch  7, Batch    618, Loss  1.447036, Average Loss  1.447562, Time  0.445234
2021-09-24 14:41:32.663850 : Epoch  7, Batch    619, Loss  1.447478, Average Loss  1.447575, Time  0.441366
2021-09-24 14:41:38.399346 : Epoch  7, Batch    620, Loss  1.462586, Average Loss  1.447599, Time  0.442799
2021-09-24 14:41:44.032552 : Epoch  7, Batch    621, Loss  1.441446, Average Loss  1.447554, Time  0.443369
2021-09-24 14:41:49.885886 : Epoch  7, Batch    622, Loss  1.446422, Average Loss  1.447562, Time  0.453816
2021-09-24 14:41:55.538510 : Epoch  7, Batch    623, Loss  1.455295, Average Loss  1.447662, Time  0.444503
2021-09-24 14:42:01.183920 : Epoch  7, Batch    624, Loss  1.443769, Average Loss  1.447641, Time  0.441432
2021-09-24 14:42:06.821974 : Epoch  7, Batch    625, Loss  1.446298, Average Loss  1.447654, Time  0.443911
2021-09-24 14:42:12.490724 : Epoch  7, Batch    626, Loss  1.457082, Average Loss  1.447661, Time  0.441618
2021-09-24 14:42:18.157043 : Epoch  7, Batch    627, Loss  1.440875, Average Loss  1.447683, Time  0.441282
2021-09-24 14:42:23.746948 : Epoch  7, Batch    628, Loss  1.451253, Average Loss  1.447675, Time  0.444359
2021-09-24 14:42:29.456227 : Epoch  7, Batch    629, Loss  1.448737, Average Loss  1.447685, Time  0.444428
2021-09-24 14:42:35.312796 : Epoch  7, Batch    630, Loss  1.444386, Average Loss  1.447740, Time  0.459164
2021-09-24 14:42:41.194180 : Epoch  7, Batch    631, Loss  1.448081, Average Loss  1.447708, Time  0.443947
2021-09-24 14:42:46.907050 : Epoch  7, Batch    632, Loss  1.444983, Average Loss  1.447687, Time  0.441307
2021-09-24 14:47:15.121860 : CheckPoint: Validation Loss  0.00025653, Best Loss  0.00024587
2021-09-24 14:47:20.915799 : Epoch  7, Batch    633, Loss  1.437595, Average Loss  1.447617, Time  0.445075
2021-09-24 14:47:26.585236 : Epoch  7, Batch    634, Loss  1.448589, Average Loss  1.447613, Time  0.442793
2021-09-24 14:47:32.243418 : Epoch  7, Batch    635, Loss  1.445695, Average Loss  1.447580, Time  0.443613
2021-09-24 14:47:37.898431 : Epoch  7, Batch    636, Loss  1.447389, Average Loss  1.447577, Time  0.443610
2021-09-24 14:47:43.605548 : Epoch  7, Batch    637, Loss  1.446741, Average Loss  1.447558, Time  0.443339
2021-09-24 14:47:49.408319 : Epoch  7, Batch    638, Loss  1.450910, Average Loss  1.447604, Time  0.443947
2021-09-24 14:47:55.141292 : Epoch  7, Batch    639, Loss  1.434254, Average Loss  1.447560, Time  0.442231
2021-09-24 14:48:00.895707 : Epoch  7, Batch    640, Loss  1.447480, Average Loss  1.447549, Time  0.456861
2021-09-24 14:48:06.714399 : Epoch  7, Batch    641, Loss  1.445873, Average Loss  1.447435, Time  0.443233
2021-09-24 14:48:12.469174 : Epoch  7, Batch    642, Loss  1.451173, Average Loss  1.447416, Time  0.442554
2021-09-24 14:48:18.227354 : Epoch  7, Batch    643, Loss  1.447713, Average Loss  1.447446, Time  0.445456
2021-09-24 14:48:24.028820 : Epoch  7, Batch    644, Loss  1.445990, Average Loss  1.447473, Time  0.445140
2021-09-24 14:48:29.686728 : Epoch  7, Batch    645, Loss  1.450152, Average Loss  1.447539, Time  0.444631
2021-09-24 14:48:35.437381 : Epoch  7, Batch    646, Loss  1.454253, Average Loss  1.447544, Time  0.446313
2021-09-24 14:48:41.186408 : Epoch  7, Batch    647, Loss  1.443020, Average Loss  1.447556, Time  0.444371
2021-09-24 14:48:47.039946 : Epoch  7, Batch    648, Loss  1.450563, Average Loss  1.447536, Time  0.456855
2021-09-24 14:48:52.870475 : Epoch  7, Batch    649, Loss  1.448215, Average Loss  1.447547, Time  0.443451
2021-09-24 14:48:58.711769 : Epoch  7, Batch    650, Loss  1.447568, Average Loss  1.447517, Time  0.443938
2021-09-24 14:49:04.512436 : Epoch  7, Batch    651, Loss  1.450483, Average Loss  1.447535, Time  0.444403
2021-09-24 14:49:10.253172 : Epoch  7, Batch    652, Loss  1.431724, Average Loss  1.447464, Time  0.443412
2021-09-24 14:49:16.119777 : Epoch  7, Batch    653, Loss  1.446954, Average Loss  1.447487, Time  0.445498
2021-09-24 14:49:21.811209 : Epoch  7, Batch    654, Loss  1.439502, Average Loss  1.447428, Time  0.444258
2021-09-24 14:49:27.490925 : Epoch  7, Batch    655, Loss  1.450057, Average Loss  1.447466, Time  0.441498
2021-09-24 14:49:33.356909 : Epoch  7, Batch    656, Loss  1.443816, Average Loss  1.447428, Time  0.453447
2021-09-24 14:49:38.989849 : Epoch  7, Batch    657, Loss  1.443799, Average Loss  1.447407, Time  0.443645
2021-09-24 14:49:44.814095 : Epoch  7, Batch    658, Loss  1.445105, Average Loss  1.447355, Time  0.443190
2021-09-24 14:49:50.592488 : Epoch  7, Batch    659, Loss  1.444235, Average Loss  1.447312, Time  0.443720
2021-09-24 14:49:56.339667 : Epoch  7, Batch    660, Loss  1.433541, Average Loss  1.447219, Time  0.442265
2021-09-24 14:50:02.186785 : Epoch  7, Batch    661, Loss  1.442074, Average Loss  1.447228, Time  0.444229
2021-09-24 14:50:08.008303 : Epoch  7, Batch    662, Loss  1.448878, Average Loss  1.447239, Time  0.442658
2021-09-24 14:50:13.809083 : Epoch  7, Batch    663, Loss  1.457764, Average Loss  1.447317, Time  0.441150
2021-09-24 14:50:19.498383 : Epoch  7, Batch    664, Loss  1.447313, Average Loss  1.447312, Time  0.451351
2021-09-24 14:50:25.305027 : Epoch  7, Batch    665, Loss  1.445358, Average Loss  1.447330, Time  0.444495
2021-09-24 14:50:31.031160 : Epoch  7, Batch    666, Loss  1.455119, Average Loss  1.447444, Time  0.443892
2021-09-24 14:50:36.841646 : Epoch  7, Batch    667, Loss  1.456047, Average Loss  1.447496, Time  0.444393
2021-09-24 14:50:42.692946 : Epoch  7, Batch    668, Loss  1.447003, Average Loss  1.447537, Time  0.444842
2021-09-24 14:50:48.538079 : Epoch  7, Batch    669, Loss  1.433756, Average Loss  1.447454, Time  0.444138
2021-09-24 14:50:54.351863 : Epoch  7, Batch    670, Loss  1.439072, Average Loss  1.447455, Time  0.444352
2021-09-24 14:51:00.007992 : Epoch  7, Batch    671, Loss  1.449679, Average Loss  1.447438, Time  0.443683
2021-09-24 14:51:05.681931 : Epoch  7, Batch    672, Loss  1.446560, Average Loss  1.447483, Time  0.461125
2021-09-24 14:51:11.365385 : Epoch  7, Batch    673, Loss  1.453981, Average Loss  1.447481, Time  0.443491
2021-09-24 14:51:17.248414 : Epoch  7, Batch    674, Loss  1.427569, Average Loss  1.447371, Time  0.444670
2021-09-24 14:51:23.096942 : Epoch  7, Batch    675, Loss  1.457806, Average Loss  1.447423, Time  0.444545
2021-09-24 14:51:28.973128 : Epoch  7, Batch    676, Loss  1.439234, Average Loss  1.447417, Time  0.444705
2021-09-24 14:51:34.805814 : Epoch  7, Batch    677, Loss  1.448854, Average Loss  1.447469, Time  0.445204
2021-09-24 14:51:40.462750 : Epoch  7, Batch    678, Loss  1.445589, Average Loss  1.447468, Time  0.444181
2021-09-24 14:51:46.166839 : Epoch  7, Batch    679, Loss  1.446031, Average Loss  1.447516, Time  0.444437
2021-09-24 14:51:51.815055 : Epoch  7, Batch    680, Loss  1.445752, Average Loss  1.447536, Time  0.460474
2021-09-24 14:51:57.620322 : Epoch  7, Batch    681, Loss  1.444399, Average Loss  1.447482, Time  0.444337
2021-09-24 14:52:03.495331 : Epoch  7, Batch    682, Loss  1.450986, Average Loss  1.447446, Time  0.445286
2021-09-24 14:52:09.319927 : Epoch  7, Batch    683, Loss  1.458434, Average Loss  1.447546, Time  0.444069
2021-09-24 14:52:15.046224 : Epoch  7, Batch    684, Loss  1.433848, Average Loss  1.447493, Time  0.442821
2021-09-24 14:52:20.828231 : Epoch  7, Batch    685, Loss  1.447046, Average Loss  1.447474, Time  0.442149
2021-09-24 14:52:26.487719 : Epoch  7, Batch    686, Loss  1.444340, Average Loss  1.447467, Time  0.441629
2021-09-24 14:52:32.190480 : Epoch  7, Batch    687, Loss  1.438165, Average Loss  1.447427, Time  0.441734
2021-09-24 14:52:37.804671 : Epoch  7, Batch    688, Loss  1.442061, Average Loss  1.447394, Time  0.458557
2021-09-24 14:52:43.462388 : Epoch  7, Batch    689, Loss  1.446473, Average Loss  1.447361, Time  0.441700
2021-09-24 14:52:49.028557 : Epoch  7, Batch    690, Loss  1.456865, Average Loss  1.447359, Time  0.442363
2021-09-24 14:52:54.754703 : Epoch  7, Batch    691, Loss  1.451981, Average Loss  1.447364, Time  0.443590
2021-09-24 14:53:00.389474 : Epoch  7, Batch    692, Loss  1.448113, Average Loss  1.447360, Time  0.441564
2021-09-24 14:53:06.070817 : Epoch  7, Batch    693, Loss  1.445053, Average Loss  1.447300, Time  0.443214
2021-09-24 14:53:11.815875 : Epoch  7, Batch    694, Loss  1.441081, Average Loss  1.447247, Time  0.442271
2021-09-24 14:53:17.515559 : Epoch  7, Batch    695, Loss  1.455235, Average Loss  1.447320, Time  0.443933
2021-09-24 14:53:23.117361 : Epoch  7, Batch    696, Loss  1.447282, Average Loss  1.447307, Time  0.453754
2021-09-24 14:53:28.704536 : Epoch  7, Batch    697, Loss  1.451234, Average Loss  1.447379, Time  0.441714
2021-09-24 14:53:34.389716 : Epoch  7, Batch    698, Loss  1.436224, Average Loss  1.447290, Time  0.444121
2021-09-24 14:53:40.171073 : Epoch  7, Batch    699, Loss  1.449654, Average Loss  1.447309, Time  0.441532
2021-09-24 14:53:45.843911 : Epoch  7, Batch    700, Loss  1.451295, Average Loss  1.447351, Time  0.443219
2021-09-24 14:53:51.526955 : Epoch  7, Batch    701, Loss  1.446646, Average Loss  1.447375, Time  0.444597
2021-09-24 14:53:57.248859 : Epoch  7, Batch    702, Loss  1.445050, Average Loss  1.447351, Time  0.444514
2021-09-24 14:54:02.974779 : Epoch  7, Batch    703, Loss  1.443750, Average Loss  1.447398, Time  0.441859
2021-09-24 14:54:08.694451 : Epoch  7, Batch    704, Loss  1.438493, Average Loss  1.447441, Time  0.461886
2021-09-24 14:54:14.476057 : Epoch  7, Batch    705, Loss  1.444552, Average Loss  1.447409, Time  0.442996
2021-09-24 14:54:20.260511 : Epoch  7, Batch    706, Loss  1.447021, Average Loss  1.447333, Time  0.443299
2021-09-24 14:54:25.899603 : Epoch  7, Batch    707, Loss  1.449939, Average Loss  1.447355, Time  0.443082
2021-09-24 14:54:31.816736 : Epoch  7, Batch    708, Loss  1.463365, Average Loss  1.447461, Time  0.442513
2021-09-24 14:54:37.755232 : Epoch  7, Batch    709, Loss  1.442906, Average Loss  1.447459, Time  0.443404
2021-09-24 14:54:43.657371 : Epoch  7, Batch    710, Loss  1.457815, Average Loss  1.447531, Time  0.443036
2021-09-24 14:54:49.566039 : Epoch  7, Batch    711, Loss  1.461070, Average Loss  1.447576, Time  0.442518
2021-09-24 14:54:55.505015 : Epoch  7, Batch    712, Loss  1.440147, Average Loss  1.447585, Time  0.458361
2021-09-24 14:54:59.885815 : Epoch  7, Batch    713, Loss  1.460482, Average Loss  1.447633, Time  0.342429
2021-09-24 14:55:05.827574 : Epoch  7, Batch    714, Loss  1.452476, Average Loss  1.447640, Time  0.442335
2021-09-24 14:55:11.736484 : Epoch  7, Batch    715, Loss  1.453256, Average Loss  1.447699, Time  0.442694
2021-09-24 14:55:17.652108 : Epoch  7, Batch    716, Loss  1.438524, Average Loss  1.447704, Time  0.442519
2021-09-24 14:55:23.479095 : Epoch  7, Batch    717, Loss  1.457783, Average Loss  1.447735, Time  0.441618
2021-09-24 14:55:29.030940 : Epoch  7, Batch    718, Loss  1.440408, Average Loss  1.447693, Time  0.442291
2021-09-24 14:55:34.597779 : Epoch  7, Batch    719, Loss  1.455734, Average Loss  1.447761, Time  0.444647
2021-09-24 14:55:40.328387 : Epoch  7, Batch    720, Loss  1.448440, Average Loss  1.447772, Time  0.458579
2021-09-24 14:55:45.939122 : Epoch  7, Batch    721, Loss  1.428905, Average Loss  1.447689, Time  0.444582
2021-09-24 14:55:51.475755 : Epoch  7, Batch    722, Loss  1.438825, Average Loss  1.447679, Time  0.444383
2021-09-24 14:55:56.996253 : Epoch  7, Batch    723, Loss  1.446459, Average Loss  1.447645, Time  0.441643
2021-09-24 14:56:02.529565 : Epoch  7, Batch    724, Loss  1.440599, Average Loss  1.447602, Time  0.442377
2021-09-24 14:56:08.100810 : Epoch  7, Batch    725, Loss  1.445819, Average Loss  1.447568, Time  0.440868
2021-09-24 14:56:13.726751 : Epoch  7, Batch    726, Loss  1.449521, Average Loss  1.447573, Time  0.443252
2021-09-24 14:56:19.470809 : Epoch  7, Batch    727, Loss  1.436781, Average Loss  1.447496, Time  0.444182
2021-09-24 14:56:25.177920 : Epoch  7, Batch    728, Loss  1.444858, Average Loss  1.447535, Time  0.452836
2021-09-24 14:56:30.881231 : Epoch  7, Batch    729, Loss  1.450279, Average Loss  1.447583, Time  0.442496
2021-09-24 14:56:36.503766 : Epoch  7, Batch    730, Loss  1.448805, Average Loss  1.447582, Time  0.443778
2021-09-24 14:56:42.270532 : Epoch  7, Batch    731, Loss  1.453102, Average Loss  1.447638, Time  0.443438
2021-09-24 14:56:47.806869 : Epoch  7, Batch    732, Loss  1.452028, Average Loss  1.447647, Time  0.440995
2021-09-24 15:01:24.859468 : CheckPoint: Validation Loss  0.00025422, Best Loss  0.00024587
2021-09-24 15:01:30.811292 : Epoch  7, Batch    733, Loss  1.442455, Average Loss  1.447624, Time  0.445944
2021-09-24 15:01:36.766011 : Epoch  7, Batch    734, Loss  1.456661, Average Loss  1.447707, Time  0.443702
2021-09-24 15:01:42.697038 : Epoch  7, Batch    735, Loss  1.445961, Average Loss  1.447698, Time  0.450360
2021-09-24 15:01:48.637200 : Epoch  7, Batch    736, Loss  1.456627, Average Loss  1.447771, Time  0.459382
2021-09-24 15:01:54.565090 : Epoch  7, Batch    737, Loss  1.457131, Average Loss  1.447781, Time  0.443717
2021-09-24 15:02:00.522811 : Epoch  7, Batch    738, Loss  1.457206, Average Loss  1.447848, Time  0.443323
2021-09-24 15:02:06.464919 : Epoch  7, Batch    739, Loss  1.445512, Average Loss  1.447819, Time  0.445811
2021-09-24 15:02:12.405370 : Epoch  7, Batch    740, Loss  1.430280, Average Loss  1.447727, Time  0.446312
2021-09-24 15:02:18.368723 : Epoch  7, Batch    741, Loss  1.453001, Average Loss  1.447748, Time  0.447843
2021-09-24 15:02:24.307434 : Epoch  7, Batch    742, Loss  1.429868, Average Loss  1.447651, Time  0.444434
2021-09-24 15:02:30.264680 : Epoch  7, Batch    743, Loss  1.434694, Average Loss  1.447667, Time  0.443093
2021-09-24 15:02:36.228759 : Epoch  7, Batch    744, Loss  1.445143, Average Loss  1.447636, Time  0.450377
2021-09-24 15:02:42.187054 : Epoch  7, Batch    745, Loss  1.450550, Average Loss  1.447600, Time  0.444519
2021-09-24 15:02:48.129973 : Epoch  7, Batch    746, Loss  1.444549, Average Loss  1.447599, Time  0.445132
2021-09-24 15:02:54.089886 : Epoch  7, Batch    747, Loss  1.446537, Average Loss  1.447540, Time  0.445850
2021-09-24 15:03:00.041894 : Epoch  7, Batch    748, Loss  1.449200, Average Loss  1.447517, Time  0.444296
2021-09-24 15:03:05.991436 : Epoch  7, Batch    749, Loss  1.450780, Average Loss  1.447520, Time  0.445668
2021-09-24 15:03:11.921209 : Epoch  7, Batch    750, Loss  1.443452, Average Loss  1.447510, Time  0.444046
2021-09-24 15:03:17.859776 : Epoch  7, Batch    751, Loss  1.442695, Average Loss  1.447478, Time  0.446014
2021-09-24 15:03:23.812744 : Epoch  7, Batch    752, Loss  1.435386, Average Loss  1.447438, Time  0.455912
2021-09-24 15:03:29.752509 : Epoch  7, Batch    753, Loss  1.448505, Average Loss  1.447451, Time  0.443062
2021-09-24 15:03:35.696435 : Epoch  7, Batch    754, Loss  1.443068, Average Loss  1.447359, Time  0.446037
2021-09-24 15:03:41.643788 : Epoch  7, Batch    755, Loss  1.446320, Average Loss  1.447312, Time  0.444954
2021-09-24 15:03:47.581667 : Epoch  7, Batch    756, Loss  1.445644, Average Loss  1.447275, Time  0.447787
2021-09-24 15:03:53.520345 : Epoch  7, Batch    757, Loss  1.462175, Average Loss  1.447391, Time  0.443560
2021-09-24 15:03:59.456834 : Epoch  7, Batch    758, Loss  1.442616, Average Loss  1.447373, Time  0.443996
2021-09-24 15:04:05.398195 : Epoch  7, Batch    759, Loss  1.442555, Average Loss  1.447328, Time  0.443773
2021-09-24 15:04:11.369499 : Epoch  7, Batch    760, Loss  1.443970, Average Loss  1.447292, Time  0.463391
2021-09-24 15:04:17.324835 : Epoch  7, Batch    761, Loss  1.445654, Average Loss  1.447255, Time  0.444770
2021-09-24 15:04:23.267367 : Epoch  7, Batch    762, Loss  1.440654, Average Loss  1.447169, Time  0.445675
2021-09-24 15:04:29.195296 : Epoch  7, Batch    763, Loss  1.456729, Average Loss  1.447179, Time  0.443465
2021-09-24 15:04:35.136961 : Epoch  7, Batch    764, Loss  1.443071, Average Loss  1.447147, Time  0.446506
2021-09-24 15:04:41.094568 : Epoch  7, Batch    765, Loss  1.455148, Average Loss  1.447179, Time  0.445970
2021-09-24 15:04:47.022349 : Epoch  7, Batch    766, Loss  1.446461, Average Loss  1.447143, Time  0.445389
2021-09-24 15:04:52.973789 : Epoch  7, Batch    767, Loss  1.430566, Average Loss  1.447046, Time  0.445390
2021-09-24 15:04:58.920235 : Epoch  7, Batch    768, Loss  1.439828, Average Loss  1.446967, Time  0.452161
2021-09-24 15:05:04.876892 : Epoch  7, Batch    769, Loss  1.453188, Average Loss  1.446987, Time  0.447850
2021-09-24 15:05:10.840880 : Epoch  7, Batch    770, Loss  1.442353, Average Loss  1.446954, Time  0.444670
2021-09-24 15:05:16.804977 : Epoch  7, Batch    771, Loss  1.440879, Average Loss  1.446858, Time  0.445610
2021-09-24 15:05:22.739503 : Epoch  7, Batch    772, Loss  1.436207, Average Loss  1.446843, Time  0.448245
2021-09-24 15:05:28.678170 : Epoch  7, Batch    773, Loss  1.443982, Average Loss  1.446828, Time  0.444169
2021-09-24 15:05:34.617926 : Epoch  7, Batch    774, Loss  1.449397, Average Loss  1.446887, Time  0.443401
2021-09-24 15:05:40.563770 : Epoch  7, Batch    775, Loss  1.444559, Average Loss  1.446799, Time  0.454200
2021-09-24 15:05:46.508763 : Epoch  7, Batch    776, Loss  1.459108, Average Loss  1.446846, Time  0.443096
2021-09-24 15:05:52.463515 : Epoch  7, Batch    777, Loss  1.461406, Average Loss  1.446917, Time  0.442618
2021-09-24 15:05:58.405659 : Epoch  7, Batch    778, Loss  1.440706, Average Loss  1.446900, Time  0.443534
2021-09-24 15:06:04.345038 : Epoch  7, Batch    779, Loss  1.451779, Average Loss  1.446897, Time  0.447433
2021-09-24 15:06:10.282199 : Epoch  7, Batch    780, Loss  1.456023, Average Loss  1.446989, Time  0.443615
2021-09-24 15:06:16.206736 : Epoch  7, Batch    781, Loss  1.456213, Average Loss  1.447016, Time  0.444113
2021-09-24 15:06:22.154377 : Epoch  7, Batch    782, Loss  1.448530, Average Loss  1.447025, Time  0.445429
2021-09-24 15:06:28.117037 : Epoch  7, Batch    783, Loss  1.450145, Average Loss  1.447042, Time  0.456533
2021-09-24 15:06:34.067112 : Epoch  7, Batch    784, Loss  1.454687, Average Loss  1.447084, Time  0.445335
2021-09-24 15:06:40.019023 : Epoch  7, Batch    785, Loss  1.451466, Average Loss  1.447118, Time  0.444222
2021-09-24 15:06:45.950237 : Epoch  7, Batch    786, Loss  1.446016, Average Loss  1.447129, Time  0.443530
2021-09-24 15:06:51.892199 : Epoch  7, Batch    787, Loss  1.453745, Average Loss  1.447109, Time  0.443036
2021-09-24 15:06:57.844021 : Epoch  7, Batch    788, Loss  1.444792, Average Loss  1.447026, Time  0.443796
2021-09-24 15:07:03.797780 : Epoch  7, Batch    789, Loss  1.457085, Average Loss  1.447059, Time  0.443563
2021-09-24 15:07:09.748905 : Epoch  7, Batch    790, Loss  1.444264, Average Loss  1.446985, Time  0.445185
2021-09-24 15:07:15.710886 : Epoch  7, Batch    791, Loss  1.456819, Average Loss  1.446979, Time  0.461078
2021-09-24 15:07:21.638982 : Epoch  7, Batch    792, Loss  1.453945, Average Loss  1.447018, Time  0.444400
2021-09-24 15:07:27.587314 : Epoch  7, Batch    793, Loss  1.443885, Average Loss  1.447007, Time  0.444323
2021-09-24 15:07:33.544087 : Epoch  7, Batch    794, Loss  1.448280, Average Loss  1.447034, Time  0.445191
2021-09-24 15:07:39.497547 : Epoch  7, Batch    795, Loss  1.445000, Average Loss  1.446958, Time  0.444118
2021-09-24 15:07:45.442450 : Epoch  7, Batch    796, Loss  1.447690, Average Loss  1.446950, Time  0.443089
2021-09-24 15:07:51.395499 : Epoch  7, Batch    797, Loss  1.452984, Average Loss  1.446991, Time  0.444015
2021-09-24 15:07:57.350851 : Epoch  7, Batch    798, Loss  1.446962, Average Loss  1.447007, Time  0.444124
2021-09-24 15:08:03.313883 : Epoch  7, Batch    799, Loss  1.440082, Average Loss  1.446983, Time  0.459146
2021-09-24 15:08:09.263010 : Epoch  7, Batch    800, Loss  1.453796, Average Loss  1.447018, Time  0.444005
2021-09-24 15:08:15.207246 : Epoch  7, Batch    801, Loss  1.450905, Average Loss  1.447079, Time  0.445276
2021-09-24 15:08:21.154238 : Epoch  7, Batch    802, Loss  1.461766, Average Loss  1.447076, Time  0.445138
2021-09-24 15:08:27.104673 : Epoch  7, Batch    803, Loss  1.445192, Average Loss  1.447085, Time  0.444561
2021-09-24 15:08:33.051538 : Epoch  7, Batch    804, Loss  1.452189, Average Loss  1.447083, Time  0.443465
2021-09-24 15:08:38.986528 : Epoch  7, Batch    805, Loss  1.452424, Average Loss  1.447097, Time  0.444390
2021-09-24 15:08:44.936706 : Epoch  7, Batch    806, Loss  1.452129, Average Loss  1.447192, Time  0.446757
2021-09-24 15:08:50.890194 : Epoch  7, Batch    807, Loss  1.448164, Average Loss  1.447238, Time  0.453329
2021-09-24 15:08:56.830689 : Epoch  7, Batch    808, Loss  1.446290, Average Loss  1.447279, Time  0.443533
2021-09-24 15:09:02.799841 : Epoch  7, Batch    809, Loss  1.456223, Average Loss  1.447350, Time  0.447492
2021-09-24 15:09:08.751970 : Epoch  7, Batch    810, Loss  1.447000, Average Loss  1.447324, Time  0.444905
2021-09-24 15:09:14.697036 : Epoch  7, Batch    811, Loss  1.461010, Average Loss  1.447364, Time  0.445034
2021-09-24 15:09:20.641670 : Epoch  7, Batch    812, Loss  1.452599, Average Loss  1.447416, Time  0.443614
2021-09-24 15:09:26.610482 : Epoch  7, Batch    813, Loss  1.448315, Average Loss  1.447402, Time  0.445872
2021-09-24 15:09:32.571797 : Epoch  7, Batch    814, Loss  1.444102, Average Loss  1.447368, Time  0.457597
2021-09-24 15:09:38.519104 : Epoch  7, Batch    815, Loss  1.434400, Average Loss  1.447318, Time  0.444004
2021-09-24 15:09:44.467388 : Epoch  7, Batch    816, Loss  1.441692, Average Loss  1.447287, Time  0.444648
2021-09-24 15:09:50.417543 : Epoch  7, Batch    817, Loss  1.440440, Average Loss  1.447283, Time  0.445460
2021-09-24 15:09:56.370761 : Epoch  7, Batch    818, Loss  1.432455, Average Loss  1.447210, Time  0.443555
2021-09-24 15:10:02.316060 : Epoch  7, Batch    819, Loss  1.440187, Average Loss  1.447174, Time  0.447406
2021-09-24 15:10:08.267191 : Epoch  7, Batch    820, Loss  1.442748, Average Loss  1.447075, Time  0.446507
2021-09-24 15:10:14.206202 : Epoch  7, Batch    821, Loss  1.455073, Average Loss  1.447143, Time  0.446052
2021-09-24 15:10:20.179539 : Epoch  7, Batch    822, Loss  1.449866, Average Loss  1.447160, Time  0.461024
2021-09-24 15:10:26.122629 : Epoch  7, Batch    823, Loss  1.450359, Average Loss  1.447135, Time  0.445013
2021-09-24 15:10:32.105764 : Epoch  7, Batch    824, Loss  1.448700, Average Loss  1.447160, Time  0.445976
2021-09-24 15:10:38.051490 : Epoch  7, Batch    825, Loss  1.436260, Average Loss  1.447110, Time  0.445179
2021-09-24 15:10:44.002730 : Epoch  7, Batch    826, Loss  1.445230, Average Loss  1.447050, Time  0.447292
2021-09-24 15:10:49.954914 : Epoch  7, Batch    827, Loss  1.450856, Average Loss  1.447100, Time  0.447898
2021-09-24 15:10:55.898610 : Epoch  7, Batch    828, Loss  1.443350, Average Loss  1.447061, Time  0.445356
2021-09-24 15:11:01.840016 : Epoch  7, Batch    829, Loss  1.445227, Average Loss  1.447043, Time  0.445585
2021-09-24 15:11:07.785796 : Epoch  7, Batch    830, Loss  1.454863, Average Loss  1.447096, Time  0.455035
2021-09-24 15:11:13.741418 : Epoch  7, Batch    831, Loss  1.446413, Average Loss  1.447087, Time  0.444201
2021-09-24 15:11:19.681108 : Epoch  7, Batch    832, Loss  1.462579, Average Loss  1.447175, Time  0.444278
2021-09-24 15:15:58.332953 : CheckPoint: Validation Loss  0.00024606, Best Loss  0.00024587
2021-09-24 15:16:04.275620 : Epoch  7, Batch    833, Loss  1.444648, Average Loss  1.447211, Time  0.443805
2021-09-24 15:16:10.220601 : Epoch  7, Batch    834, Loss  1.443189, Average Loss  1.447184, Time  0.449796
2021-09-24 15:16:16.177719 : Epoch  7, Batch    835, Loss  1.458912, Average Loss  1.447250, Time  0.446223
2021-09-24 15:16:22.116513 : Epoch  7, Batch    836, Loss  1.454112, Average Loss  1.447283, Time  0.443362
2021-09-24 15:16:28.068945 : Epoch  7, Batch    837, Loss  1.447256, Average Loss  1.447286, Time  0.460342
2021-09-24 15:16:33.988509 : Epoch  7, Batch    838, Loss  1.446188, Average Loss  1.447262, Time  0.444234
2021-09-24 15:16:39.925135 : Epoch  7, Batch    839, Loss  1.446473, Average Loss  1.447323, Time  0.444263
2021-09-24 15:16:45.846850 : Epoch  7, Batch    840, Loss  1.446370, Average Loss  1.447318, Time  0.445504
2021-09-24 15:16:51.780766 : Epoch  7, Batch    841, Loss  1.450187, Average Loss  1.447339, Time  0.443461
2021-09-24 15:16:57.714363 : Epoch  7, Batch    842, Loss  1.450962, Average Loss  1.447338, Time  0.443331
2021-09-24 15:17:03.647561 : Epoch  7, Batch    843, Loss  1.435195, Average Loss  1.447276, Time  0.442899
2021-09-24 15:17:09.596598 : Epoch  7, Batch    844, Loss  1.453234, Average Loss  1.447312, Time  0.451683
2021-09-24 15:17:15.539132 : Epoch  7, Batch    845, Loss  1.454584, Average Loss  1.447334, Time  0.443615
2021-09-24 15:17:21.478883 : Epoch  7, Batch    846, Loss  1.437075, Average Loss  1.447248, Time  0.445026
2021-09-24 15:17:27.407494 : Epoch  7, Batch    847, Loss  1.441817, Average Loss  1.447242, Time  0.445524
2021-09-24 15:17:33.362189 : Epoch  7, Batch    848, Loss  1.441394, Average Loss  1.447196, Time  0.446649
2021-09-24 15:17:39.298421 : Epoch  7, Batch    849, Loss  1.451176, Average Loss  1.447211, Time  0.445549
2021-09-24 15:17:45.237363 : Epoch  7, Batch    850, Loss  1.430971, Average Loss  1.447128, Time  0.444892
2021-09-24 15:17:51.164932 : Epoch  7, Batch    851, Loss  1.453023, Average Loss  1.447141, Time  0.442809
2021-09-24 15:17:57.101453 : Epoch  7, Batch    852, Loss  1.454531, Average Loss  1.447255, Time  0.459290
2021-09-24 15:18:03.045522 : Epoch  7, Batch    853, Loss  1.454773, Average Loss  1.447294, Time  0.444092
2021-09-24 15:18:08.980667 : Epoch  7, Batch    854, Loss  1.444040, Average Loss  1.447317, Time  0.443902
2021-09-24 15:18:14.912993 : Epoch  7, Batch    855, Loss  1.453317, Average Loss  1.447333, Time  0.445903
2021-09-24 15:18:20.857570 : Epoch  7, Batch    856, Loss  1.447944, Average Loss  1.447354, Time  0.449118
2021-09-24 15:18:26.783504 : Epoch  7, Batch    857, Loss  1.449176, Average Loss  1.447381, Time  0.443712
2021-09-24 15:18:32.726996 : Epoch  7, Batch    858, Loss  1.447327, Average Loss  1.447392, Time  0.444981
2021-09-24 15:18:38.658199 : Epoch  7, Batch    859, Loss  1.441191, Average Loss  1.447376, Time  0.443914
2021-09-24 15:18:44.613359 : Epoch  7, Batch    860, Loss  1.454780, Average Loss  1.447483, Time  0.457298
2021-09-24 15:18:50.551434 : Epoch  7, Batch    861, Loss  1.452248, Average Loss  1.447533, Time  0.443440
2021-09-24 15:18:56.491013 : Epoch  7, Batch    862, Loss  1.443779, Average Loss  1.447508, Time  0.448456
2021-09-24 15:19:02.431264 : Epoch  7, Batch    863, Loss  1.446857, Average Loss  1.447453, Time  0.447215
2021-09-24 15:19:08.366420 : Epoch  7, Batch    864, Loss  1.462105, Average Loss  1.447527, Time  0.447996
2021-09-24 15:19:14.312061 : Epoch  7, Batch    865, Loss  1.451680, Average Loss  1.447559, Time  0.445013
2021-09-24 15:19:20.236880 : Epoch  7, Batch    866, Loss  1.458237, Average Loss  1.447575, Time  0.444630
2021-09-24 15:19:26.180165 : Epoch  7, Batch    867, Loss  1.441059, Average Loss  1.447500, Time  0.449083
2021-09-24 15:19:32.114175 : Epoch  7, Batch    868, Loss  1.448668, Average Loss  1.447508, Time  0.454035
2021-09-24 15:19:38.045661 : Epoch  7, Batch    869, Loss  1.438300, Average Loss  1.447531, Time  0.445361
2021-09-24 15:19:43.993694 : Epoch  7, Batch    870, Loss  1.449909, Average Loss  1.447585, Time  0.445024
2021-09-24 15:19:49.939919 : Epoch  7, Batch    871, Loss  1.435320, Average Loss  1.447513, Time  0.448889
2021-09-24 15:19:55.869301 : Epoch  7, Batch    872, Loss  1.452792, Average Loss  1.447544, Time  0.443974
2021-09-24 15:20:01.811653 : Epoch  7, Batch    873, Loss  1.442850, Average Loss  1.447489, Time  0.443239
2021-09-24 15:20:07.743516 : Epoch  7, Batch    874, Loss  1.442175, Average Loss  1.447562, Time  0.444706
2021-09-24 15:20:13.681174 : Epoch  7, Batch    875, Loss  1.453303, Average Loss  1.447539, Time  0.446135
2021-09-24 15:20:19.646337 : Epoch  7, Batch    876, Loss  1.464864, Average Loss  1.447667, Time  0.464352
2021-09-24 15:20:25.585198 : Epoch  7, Batch    877, Loss  1.450929, Average Loss  1.447678, Time  0.444050
2021-09-24 15:20:31.522679 : Epoch  7, Batch    878, Loss  1.456663, Average Loss  1.447733, Time  0.445172
2021-09-24 15:20:37.461167 : Epoch  7, Batch    879, Loss  1.452214, Average Loss  1.447764, Time  0.446028
2021-09-24 15:20:43.395802 : Epoch  7, Batch    880, Loss  1.446153, Average Loss  1.447766, Time  0.444682
2021-09-24 15:20:49.316973 : Epoch  7, Batch    881, Loss  1.436260, Average Loss  1.447725, Time  0.444232
2021-09-24 15:20:55.238757 : Epoch  7, Batch    882, Loss  1.453026, Average Loss  1.447735, Time  0.446055
2021-09-24 15:21:01.176762 : Epoch  7, Batch    883, Loss  1.460483, Average Loss  1.447746, Time  0.445010
2021-09-24 15:21:07.135040 : Epoch  7, Batch    884, Loss  1.453065, Average Loss  1.447842, Time  0.460328
2021-09-24 15:21:13.069107 : Epoch  7, Batch    885, Loss  1.451614, Average Loss  1.447865, Time  0.442744
2021-09-24 15:21:19.002186 : Epoch  7, Batch    886, Loss  1.449448, Average Loss  1.447890, Time  0.446099
2021-09-24 15:21:24.944317 : Epoch  7, Batch    887, Loss  1.461900, Average Loss  1.448009, Time  0.443808
2021-09-24 15:21:30.869511 : Epoch  7, Batch    888, Loss  1.454593, Average Loss  1.448072, Time  0.444399
2021-09-24 15:21:36.799288 : Epoch  7, Batch    889, Loss  1.438210, Average Loss  1.448030, Time  0.442871
2021-09-24 15:21:42.747878 : Epoch  7, Batch    890, Loss  1.448984, Average Loss  1.447991, Time  0.449962
2021-09-24 15:21:48.708768 : Epoch  7, Batch    891, Loss  1.450659, Average Loss  1.447984, Time  0.461763
2021-09-24 15:21:54.663016 : Epoch  7, Batch    892, Loss  1.441174, Average Loss  1.447949, Time  0.444401
2021-09-24 15:22:00.606953 : Epoch  7, Batch    893, Loss  1.439640, Average Loss  1.447922, Time  0.443241
2021-09-24 15:22:06.546022 : Epoch  7, Batch    894, Loss  1.435624, Average Loss  1.447895, Time  0.447790
2021-09-24 15:22:12.495334 : Epoch  7, Batch    895, Loss  1.447744, Average Loss  1.447858, Time  0.448457
2021-09-24 15:22:18.444376 : Epoch  7, Batch    896, Loss  1.445258, Average Loss  1.447848, Time  0.449289
2021-09-24 15:22:24.382807 : Epoch  7, Batch    897, Loss  1.444463, Average Loss  1.447814, Time  0.443003
2021-09-24 15:22:30.317990 : Epoch  7, Batch    898, Loss  1.444051, Average Loss  1.447853, Time  0.443176
2021-09-24 15:22:36.259179 : Epoch  7, Batch    899, Loss  1.455420, Average Loss  1.447882, Time  0.454257
2021-09-24 15:22:42.189739 : Epoch  7, Batch    900, Loss  1.454824, Average Loss  1.447899, Time  0.446086
2021-09-24 15:22:48.134688 : Epoch  7, Batch    901, Loss  1.442590, Average Loss  1.447879, Time  0.444695
2021-09-24 15:22:54.060733 : Epoch  7, Batch    902, Loss  1.441477, Average Loss  1.447861, Time  0.446743
2021-09-24 15:22:59.984403 : Epoch  7, Batch    903, Loss  1.449037, Average Loss  1.447888, Time  0.444371
2021-09-24 15:23:05.929615 : Epoch  7, Batch    904, Loss  1.444341, Average Loss  1.447917, Time  0.443283
2021-09-24 15:23:11.872842 : Epoch  7, Batch    905, Loss  1.460687, Average Loss  1.447998, Time  0.443343
2021-09-24 15:23:17.805991 : Epoch  7, Batch    906, Loss  1.451521, Average Loss  1.448020, Time  0.445952
2021-09-24 15:23:23.745722 : Epoch  7, Batch    907, Loss  1.449598, Average Loss  1.448018, Time  0.452024
2021-09-24 15:23:29.678353 : Epoch  7, Batch    908, Loss  1.448804, Average Loss  1.447945, Time  0.443356
2021-09-24 15:23:35.629659 : Epoch  7, Batch    909, Loss  1.439058, Average Loss  1.447926, Time  0.444076
2021-09-24 15:23:41.569430 : Epoch  7, Batch    910, Loss  1.431959, Average Loss  1.447797, Time  0.444578
2021-09-24 15:23:47.506757 : Epoch  7, Batch    911, Loss  1.451717, Average Loss  1.447750, Time  0.444779
2021-09-24 15:23:53.465874 : Epoch  7, Batch    912, Loss  1.444136, Average Loss  1.447770, Time  0.446165
2021-09-24 15:23:59.400195 : Epoch  7, Batch    913, Loss  1.450807, Average Loss  1.447722, Time  0.447980
2021-09-24 15:24:05.354020 : Epoch  7, Batch    914, Loss  1.453801, Average Loss  1.447728, Time  0.443982
2021-09-24 15:24:11.310217 : Epoch  7, Batch    915, Loss  1.439461, Average Loss  1.447659, Time  0.460879
2021-09-24 15:24:17.256673 : Epoch  7, Batch    916, Loss  1.437241, Average Loss  1.447653, Time  0.444745
2021-09-24 15:24:23.209178 : Epoch  7, Batch    917, Loss  1.453369, Average Loss  1.447631, Time  0.443354
2021-09-24 15:24:29.136193 : Epoch  7, Batch    918, Loss  1.425666, Average Loss  1.447557, Time  0.444964
2021-09-24 15:24:35.057917 : Epoch  7, Batch    919, Loss  1.442993, Average Loss  1.447494, Time  0.445415
2021-09-24 15:24:41.003088 : Epoch  7, Batch    920, Loss  1.459335, Average Loss  1.447548, Time  0.447502
2021-09-24 15:24:46.947744 : Epoch  7, Batch    921, Loss  1.446526, Average Loss  1.447636, Time  0.444623
2021-09-24 15:24:52.875288 : Epoch  7, Batch    922, Loss  1.450936, Average Loss  1.447697, Time  0.443196
2021-09-24 15:24:58.858163 : Epoch  7, Batch    923, Loss  1.435709, Average Loss  1.447643, Time  0.451098
2021-09-24 15:25:04.789433 : Epoch  7, Batch    924, Loss  1.450267, Average Loss  1.447691, Time  0.443985
2021-09-24 15:25:10.731628 : Epoch  7, Batch    925, Loss  1.434868, Average Loss  1.447637, Time  0.444291
2021-09-24 15:25:16.688743 : Epoch  7, Batch    926, Loss  1.435359, Average Loss  1.447566, Time  0.443976
2021-09-24 15:25:22.624059 : Epoch  7, Batch    927, Loss  1.454582, Average Loss  1.447655, Time  0.443827
2021-09-24 15:25:28.549712 : Epoch  7, Batch    928, Loss  1.450789, Average Loss  1.447684, Time  0.443895
2021-09-24 15:25:28.588874 : Saving Model after 7-th Epoch.
2021-09-24 15:25:29.406671 : Epoch Finished.
2021-09-24 15:25:34.977720 : Batch Shuffled
2021-09-24 15:25:40.922082 : Epoch  8, Batch      1, Loss  1.450827, Average Loss  1.447687, Time  0.443607
2021-09-24 15:25:46.896700 : Epoch  8, Batch      2, Loss  1.454096, Average Loss  1.447714, Time  0.458716
2021-09-24 15:25:52.843040 : Epoch  8, Batch      3, Loss  1.442678, Average Loss  1.447661, Time  0.445470
2021-09-24 15:25:58.795059 : Epoch  8, Batch      4, Loss  1.445415, Average Loss  1.447628, Time  0.443929
2021-09-24 15:30:38.076853 : CheckPoint: Validation Loss  0.00025044, Best Loss  0.00024587
2021-09-24 15:30:44.045340 : Epoch  8, Batch      5, Loss  1.440171, Average Loss  1.447617, Time  0.444660
2021-09-24 15:30:49.991022 : Epoch  8, Batch      6, Loss  1.448970, Average Loss  1.447578, Time  0.446443
2021-09-24 15:30:55.942058 : Epoch  8, Batch      7, Loss  1.455661, Average Loss  1.447627, Time  0.443194
2021-09-24 15:31:01.902766 : Epoch  8, Batch      8, Loss  1.425266, Average Loss  1.447470, Time  0.460324
2021-09-24 15:31:07.868729 : Epoch  8, Batch      9, Loss  1.430301, Average Loss  1.447336, Time  0.442782
2021-09-24 15:31:13.836248 : Epoch  8, Batch     10, Loss  1.443862, Average Loss  1.447269, Time  0.445053
2021-09-24 15:31:19.784918 : Epoch  8, Batch     11, Loss  1.440141, Average Loss  1.447242, Time  0.444575
2021-09-24 15:31:25.760884 : Epoch  8, Batch     12, Loss  1.449800, Average Loss  1.447340, Time  0.445679
2021-09-24 15:31:31.724973 : Epoch  8, Batch     13, Loss  1.425107, Average Loss  1.447201, Time  0.444164
2021-09-24 15:31:37.670608 : Epoch  8, Batch     14, Loss  1.456574, Average Loss  1.447334, Time  0.445067
2021-09-24 15:31:43.622235 : Epoch  8, Batch     15, Loss  1.445748, Average Loss  1.447389, Time  0.444077
2021-09-24 15:31:49.593453 : Epoch  8, Batch     16, Loss  1.446760, Average Loss  1.447397, Time  0.456493
2021-09-24 15:31:55.552262 : Epoch  8, Batch     17, Loss  1.447989, Average Loss  1.447385, Time  0.446622
2021-09-24 15:32:01.510944 : Epoch  8, Batch     18, Loss  1.445369, Average Loss  1.447389, Time  0.445614
2021-09-24 15:32:07.451848 : Epoch  8, Batch     19, Loss  1.454939, Average Loss  1.447431, Time  0.443357
2021-09-24 15:32:13.403122 : Epoch  8, Batch     20, Loss  1.446711, Average Loss  1.447418, Time  0.446232
2021-09-24 15:32:19.349755 : Epoch  8, Batch     21, Loss  1.446465, Average Loss  1.447397, Time  0.443063
2021-09-24 15:32:25.305438 : Epoch  8, Batch     22, Loss  1.456747, Average Loss  1.447463, Time  0.444600
2021-09-24 15:32:31.266613 : Epoch  8, Batch     23, Loss  1.439224, Average Loss  1.447446, Time  0.442428
2021-09-24 15:32:37.242246 : Epoch  8, Batch     24, Loss  1.460557, Average Loss  1.447572, Time  0.458560
2021-09-24 15:32:43.194146 : Epoch  8, Batch     25, Loss  1.435319, Average Loss  1.447506, Time  0.446728
2021-09-24 15:32:49.143326 : Epoch  8, Batch     26, Loss  1.461654, Average Loss  1.447599, Time  0.446242
2021-09-24 15:32:55.077677 : Epoch  8, Batch     27, Loss  1.451520, Average Loss  1.447625, Time  0.445227
2021-09-24 15:33:01.034816 : Epoch  8, Batch     28, Loss  1.452364, Average Loss  1.447658, Time  0.444084
2021-09-24 15:33:07.024732 : Epoch  8, Batch     29, Loss  1.436599, Average Loss  1.447530, Time  0.444505
2021-09-24 15:33:12.982533 : Epoch  8, Batch     30, Loss  1.464380, Average Loss  1.447639, Time  0.443737
2021-09-24 15:33:18.961374 : Epoch  8, Batch     31, Loss  1.460563, Average Loss  1.447729, Time  0.457643
2021-09-24 15:33:24.928931 : Epoch  8, Batch     32, Loss  1.453243, Average Loss  1.447776, Time  0.444081
2021-09-24 15:33:30.917482 : Epoch  8, Batch     33, Loss  1.440030, Average Loss  1.447748, Time  0.454453
2021-09-24 15:33:36.884781 : Epoch  8, Batch     34, Loss  1.462947, Average Loss  1.447859, Time  0.446935
2021-09-24 15:33:42.850638 : Epoch  8, Batch     35, Loss  1.441277, Average Loss  1.447782, Time  0.446527
2021-09-24 15:33:48.814868 : Epoch  8, Batch     36, Loss  1.447349, Average Loss  1.447803, Time  0.444803
2021-09-24 15:33:54.769665 : Epoch  8, Batch     37, Loss  1.430041, Average Loss  1.447678, Time  0.444047
2021-09-24 15:34:00.720707 : Epoch  8, Batch     38, Loss  1.450816, Average Loss  1.447699, Time  0.443892
2021-09-24 15:34:06.678204 : Epoch  8, Batch     39, Loss  1.440040, Average Loss  1.447747, Time  0.450108
2021-09-24 15:34:12.643425 : Epoch  8, Batch     40, Loss  1.449095, Average Loss  1.447793, Time  0.444528
2021-09-24 15:34:18.606325 : Epoch  8, Batch     41, Loss  1.452927, Average Loss  1.447792, Time  0.449458
2021-09-24 15:34:24.555775 : Epoch  8, Batch     42, Loss  1.452867, Average Loss  1.447844, Time  0.444260
2021-09-24 15:34:30.495687 : Epoch  8, Batch     43, Loss  1.458854, Average Loss  1.447934, Time  0.448653
2021-09-24 15:34:36.464591 : Epoch  8, Batch     44, Loss  1.445890, Average Loss  1.447983, Time  0.443768
2021-09-24 15:34:42.427944 : Epoch  8, Batch     45, Loss  1.446041, Average Loss  1.447993, Time  0.445879
2021-09-24 15:34:48.400151 : Epoch  8, Batch     46, Loss  1.457988, Average Loss  1.448036, Time  0.448332
2021-09-24 15:34:54.381856 : Epoch  8, Batch     47, Loss  1.445534, Average Loss  1.448041, Time  0.460946
2021-09-24 15:35:00.334987 : Epoch  8, Batch     48, Loss  1.448885, Average Loss  1.447990, Time  0.444057
2021-09-24 15:35:06.288220 : Epoch  8, Batch     49, Loss  1.434692, Average Loss  1.447856, Time  0.447998
2021-09-24 15:35:12.251295 : Epoch  8, Batch     50, Loss  1.445287, Average Loss  1.447879, Time  0.445356
2021-09-24 15:35:18.219129 : Epoch  8, Batch     51, Loss  1.443844, Average Loss  1.447839, Time  0.444757
2021-09-24 15:35:24.178111 : Epoch  8, Batch     52, Loss  1.455585, Average Loss  1.447837, Time  0.443912
2021-09-24 15:35:30.128871 : Epoch  8, Batch     53, Loss  1.442671, Average Loss  1.447769, Time  0.444740
2021-09-24 15:35:36.096219 : Epoch  8, Batch     54, Loss  1.449827, Average Loss  1.447776, Time  0.448084
2021-09-24 15:35:42.058658 : Epoch  8, Batch     55, Loss  1.457633, Average Loss  1.447813, Time  0.454102
2021-09-24 15:35:48.027089 : Epoch  8, Batch     56, Loss  1.447252, Average Loss  1.447776, Time  0.443114
2021-09-24 15:35:53.992902 : Epoch  8, Batch     57, Loss  1.432838, Average Loss  1.447683, Time  0.444030
2021-09-24 15:35:59.951260 : Epoch  8, Batch     58, Loss  1.451256, Average Loss  1.447709, Time  0.444570
2021-09-24 15:36:05.891089 : Epoch  8, Batch     59, Loss  1.440878, Average Loss  1.447645, Time  0.443761
2021-09-24 15:36:11.891258 : Epoch  8, Batch     60, Loss  1.448994, Average Loss  1.447666, Time  0.443744
2021-09-24 15:36:17.856029 : Epoch  8, Batch     61, Loss  1.441715, Average Loss  1.447589, Time  0.443582
2021-09-24 15:36:23.833057 : Epoch  8, Batch     62, Loss  1.447247, Average Loss  1.447604, Time  0.455930
2021-09-24 15:36:29.790570 : Epoch  8, Batch     63, Loss  1.439452, Average Loss  1.447517, Time  0.447540
2021-09-24 15:36:35.739258 : Epoch  8, Batch     64, Loss  1.446648, Average Loss  1.447481, Time  0.445282
2021-09-24 15:36:41.700802 : Epoch  8, Batch     65, Loss  1.448069, Average Loss  1.447502, Time  0.445030
2021-09-24 15:36:47.638952 : Epoch  8, Batch     66, Loss  1.436923, Average Loss  1.447445, Time  0.444168
2021-09-24 15:36:53.590492 : Epoch  8, Batch     67, Loss  1.444615, Average Loss  1.447443, Time  0.443640
2021-09-24 15:36:59.551883 : Epoch  8, Batch     68, Loss  1.444739, Average Loss  1.447428, Time  0.446311
2021-09-24 15:37:05.561759 : Epoch  8, Batch     69, Loss  1.434754, Average Loss  1.447337, Time  0.444913
2021-09-24 15:37:11.548731 : Epoch  8, Batch     70, Loss  1.450148, Average Loss  1.447353, Time  0.462214
2021-09-24 15:37:17.528728 : Epoch  8, Batch     71, Loss  1.444171, Average Loss  1.447373, Time  0.445353
2021-09-24 15:37:23.495824 : Epoch  8, Batch     72, Loss  1.443499, Average Loss  1.447322, Time  0.444931
2021-09-24 15:37:29.444926 : Epoch  8, Batch     73, Loss  1.450599, Average Loss  1.447320, Time  0.444479
2021-09-24 15:37:35.418660 : Epoch  8, Batch     74, Loss  1.440824, Average Loss  1.447216, Time  0.449016
2021-09-24 15:37:41.374749 : Epoch  8, Batch     75, Loss  1.460416, Average Loss  1.447292, Time  0.444153
2021-09-24 15:37:47.341613 : Epoch  8, Batch     76, Loss  1.450358, Average Loss  1.447283, Time  0.442890
2021-09-24 15:37:53.307399 : Epoch  8, Batch     77, Loss  1.450196, Average Loss  1.447271, Time  0.447729
2021-09-24 15:37:59.272442 : Epoch  8, Batch     78, Loss  1.445090, Average Loss  1.447236, Time  0.453677
2021-09-24 15:38:05.240235 : Epoch  8, Batch     79, Loss  1.450815, Average Loss  1.447250, Time  0.445732
2021-09-24 15:38:11.201299 : Epoch  8, Batch     80, Loss  1.449283, Average Loss  1.447264, Time  0.443343
2021-09-24 15:38:17.177141 : Epoch  8, Batch     81, Loss  1.447465, Average Loss  1.447221, Time  0.444879
2021-09-24 15:38:23.124876 : Epoch  8, Batch     82, Loss  1.438791, Average Loss  1.447180, Time  0.446307
2021-09-24 15:38:29.087750 : Epoch  8, Batch     83, Loss  1.451448, Average Loss  1.447132, Time  0.443514
2021-09-24 15:38:35.025790 : Epoch  8, Batch     84, Loss  1.455279, Average Loss  1.447145, Time  0.444033
2021-09-24 15:38:40.979463 : Epoch  8, Batch     85, Loss  1.451354, Average Loss  1.447160, Time  0.459504
2021-09-24 15:38:46.930546 : Epoch  8, Batch     86, Loss  1.453465, Average Loss  1.447207, Time  0.445635
2021-09-24 15:38:52.882762 : Epoch  8, Batch     87, Loss  1.447438, Average Loss  1.447272, Time  0.442724
2021-09-24 15:38:58.852654 : Epoch  8, Batch     88, Loss  1.437450, Average Loss  1.447251, Time  0.446323
2021-09-24 15:39:04.811814 : Epoch  8, Batch     89, Loss  1.453210, Average Loss  1.447315, Time  0.443535
2021-09-24 15:39:10.775524 : Epoch  8, Batch     90, Loss  1.448544, Average Loss  1.447396, Time  0.443712
2021-09-24 15:39:16.740981 : Epoch  8, Batch     91, Loss  1.446412, Average Loss  1.447427, Time  0.447836
2021-09-24 15:39:22.701828 : Epoch  8, Batch     92, Loss  1.440063, Average Loss  1.447413, Time  0.443875
2021-09-24 15:39:28.674888 : Epoch  8, Batch     93, Loss  1.455229, Average Loss  1.447414, Time  0.456243
2021-09-24 15:39:34.623950 : Epoch  8, Batch     94, Loss  1.436050, Average Loss  1.447345, Time  0.444712
2021-09-24 15:39:40.579783 : Epoch  8, Batch     95, Loss  1.455983, Average Loss  1.447373, Time  0.443323
2021-09-24 15:39:46.540877 : Epoch  8, Batch     96, Loss  1.439524, Average Loss  1.447327, Time  0.444641
2021-09-24 15:39:52.503017 : Epoch  8, Batch     97, Loss  1.447466, Average Loss  1.447383, Time  0.447414
2021-09-24 15:39:58.446062 : Epoch  8, Batch     98, Loss  1.441130, Average Loss  1.447363, Time  0.443926
2021-09-24 15:40:04.410285 : Epoch  8, Batch     99, Loss  1.453171, Average Loss  1.447374, Time  0.443358
2021-09-24 15:40:10.388636 : Epoch  8, Batch    100, Loss  1.461665, Average Loss  1.447466, Time  0.450712
2021-09-24 15:40:16.349505 : Epoch  8, Batch    101, Loss  1.436187, Average Loss  1.447421, Time  0.450862
2021-09-24 15:40:22.312039 : Epoch  8, Batch    102, Loss  1.443553, Average Loss  1.447364, Time  0.451231
2021-09-24 15:40:28.273931 : Epoch  8, Batch    103, Loss  1.432685, Average Loss  1.447295, Time  0.443507
2021-09-24 15:40:34.221838 : Epoch  8, Batch    104, Loss  1.439183, Average Loss  1.447178, Time  0.444277
2021-09-24 15:45:13.490631 : CheckPoint: Validation Loss  0.00025502, Best Loss  0.00024587
2021-09-24 15:45:19.461641 : Epoch  8, Batch    105, Loss  1.437600, Average Loss  1.447143, Time  0.450073
2021-09-24 15:45:25.420986 : Epoch  8, Batch    106, Loss  1.441396, Average Loss  1.447134, Time  0.443833
2021-09-24 15:45:31.389339 : Epoch  8, Batch    107, Loss  1.446971, Average Loss  1.447075, Time  0.445848
2021-09-24 15:45:37.375792 : Epoch  8, Batch    108, Loss  1.456398, Average Loss  1.447086, Time  0.454752
2021-09-24 15:45:43.335713 : Epoch  8, Batch    109, Loss  1.447552, Average Loss  1.447087, Time  0.444161
2021-09-24 15:45:49.284483 : Epoch  8, Batch    110, Loss  1.456248, Average Loss  1.447138, Time  0.444119
2021-09-24 15:45:55.247840 : Epoch  8, Batch    111, Loss  1.435527, Average Loss  1.447083, Time  0.443001
2021-09-24 15:46:01.200095 : Epoch  8, Batch    112, Loss  1.447035, Average Loss  1.447086, Time  0.443675
2021-09-24 15:46:07.156433 : Epoch  8, Batch    113, Loss  1.444498, Average Loss  1.447058, Time  0.446642
2021-09-24 15:46:13.112271 : Epoch  8, Batch    114, Loss  1.444025, Average Loss  1.447023, Time  0.443650
2021-09-24 15:46:19.082768 : Epoch  8, Batch    115, Loss  1.448837, Average Loss  1.447091, Time  0.443153
2021-09-24 15:46:25.066935 : Epoch  8, Batch    116, Loss  1.456926, Average Loss  1.447110, Time  0.458235
2021-09-24 15:46:31.025530 : Epoch  8, Batch    117, Loss  1.462408, Average Loss  1.447149, Time  0.444919
2021-09-24 15:46:36.985491 : Epoch  8, Batch    118, Loss  1.452629, Average Loss  1.447227, Time  0.445786
2021-09-24 15:46:42.952195 : Epoch  8, Batch    119, Loss  1.446275, Average Loss  1.447249, Time  0.443435
2021-09-24 15:46:48.897522 : Epoch  8, Batch    120, Loss  1.454022, Average Loss  1.447312, Time  0.442191
2021-09-24 15:46:54.849620 : Epoch  8, Batch    121, Loss  1.449292, Average Loss  1.447303, Time  0.443251
2021-09-24 15:47:00.816920 : Epoch  8, Batch    122, Loss  1.446026, Average Loss  1.447378, Time  0.442711
2021-09-24 15:47:06.774497 : Epoch  8, Batch    123, Loss  1.455261, Average Loss  1.447389, Time  0.456378
2021-09-24 15:47:12.722971 : Epoch  8, Batch    124, Loss  1.452167, Average Loss  1.447377, Time  0.445017
2021-09-24 15:47:18.696631 : Epoch  8, Batch    125, Loss  1.461129, Average Loss  1.447409, Time  0.446781
2021-09-24 15:47:24.666293 : Epoch  8, Batch    126, Loss  1.451872, Average Loss  1.447448, Time  0.444081
2021-09-24 15:47:30.619324 : Epoch  8, Batch    127, Loss  1.443204, Average Loss  1.447398, Time  0.446087
2021-09-24 15:47:36.578256 : Epoch  8, Batch    128, Loss  1.459707, Average Loss  1.447457, Time  0.446079
2021-09-24 15:47:42.572771 : Epoch  8, Batch    129, Loss  1.449607, Average Loss  1.447459, Time  0.445062
2021-09-24 15:47:48.544257 : Epoch  8, Batch    130, Loss  1.444648, Average Loss  1.447445, Time  0.444470
2021-09-24 15:47:54.518201 : Epoch  8, Batch    131, Loss  1.446890, Average Loss  1.447474, Time  0.461260
2021-09-24 15:48:00.483812 : Epoch  8, Batch    132, Loss  1.452736, Average Loss  1.447464, Time  0.443604
2021-09-24 15:48:06.446726 : Epoch  8, Batch    133, Loss  1.449525, Average Loss  1.447450, Time  0.443358
2021-09-24 15:48:12.418874 : Epoch  8, Batch    134, Loss  1.458830, Average Loss  1.447525, Time  0.452215
2021-09-24 15:48:18.375803 : Epoch  8, Batch    135, Loss  1.432571, Average Loss  1.447454, Time  0.442922
2021-09-24 15:48:24.340736 : Epoch  8, Batch    136, Loss  1.448979, Average Loss  1.447388, Time  0.445524
2021-09-24 15:48:30.318297 : Epoch  8, Batch    137, Loss  1.459396, Average Loss  1.447427, Time  0.445292
2021-09-24 15:48:36.277839 : Epoch  8, Batch    138, Loss  1.444000, Average Loss  1.447356, Time  0.442924
2021-09-24 15:48:42.246555 : Epoch  8, Batch    139, Loss  1.446513, Average Loss  1.447383, Time  0.457902
2021-09-24 15:48:48.211217 : Epoch  8, Batch    140, Loss  1.451182, Average Loss  1.447395, Time  0.444549
2021-09-24 15:48:54.179664 : Epoch  8, Batch    141, Loss  1.445191, Average Loss  1.447430, Time  0.443284
2021-09-24 15:49:00.149839 : Epoch  8, Batch    142, Loss  1.438264, Average Loss  1.447372, Time  0.449154
2021-09-24 15:49:06.094951 : Epoch  8, Batch    143, Loss  1.448357, Average Loss  1.447437, Time  0.443202
2021-09-24 15:49:12.055105 : Epoch  8, Batch    144, Loss  1.462343, Average Loss  1.447485, Time  0.444189
2021-09-24 15:49:18.021489 : Epoch  8, Batch    145, Loss  1.454870, Average Loss  1.447545, Time  0.444126
2021-09-24 15:49:24.005858 : Epoch  8, Batch    146, Loss  1.441457, Average Loss  1.447541, Time  0.450095
2021-09-24 15:49:29.977534 : Epoch  8, Batch    147, Loss  1.432856, Average Loss  1.447439, Time  0.456525
2021-09-24 15:49:35.967108 : Epoch  8, Batch    148, Loss  1.445240, Average Loss  1.447341, Time  0.447398
2021-09-24 15:49:40.366815 : Epoch  8, Batch    149, Loss  1.456519, Average Loss  1.447369, Time  0.343516
2021-09-24 15:49:46.322294 : Epoch  8, Batch    150, Loss  1.448229, Average Loss  1.447327, Time  0.445378
2021-09-24 15:49:52.278877 : Epoch  8, Batch    151, Loss  1.436045, Average Loss  1.447246, Time  0.445327
2021-09-24 15:49:58.255160 : Epoch  8, Batch    152, Loss  1.446328, Average Loss  1.447247, Time  0.448700
2021-09-24 15:50:04.224650 : Epoch  8, Batch    153, Loss  1.450924, Average Loss  1.447320, Time  0.444880
2021-09-24 15:50:10.189757 : Epoch  8, Batch    154, Loss  1.449220, Average Loss  1.447301, Time  0.443259
2021-09-24 15:50:16.171498 : Epoch  8, Batch    155, Loss  1.443819, Average Loss  1.447218, Time  0.461311
2021-09-24 15:50:22.137910 : Epoch  8, Batch    156, Loss  1.445636, Average Loss  1.447180, Time  0.444072
2021-09-24 15:50:28.096603 : Epoch  8, Batch    157, Loss  1.454021, Average Loss  1.447192, Time  0.448926
2021-09-24 15:50:34.074771 : Epoch  8, Batch    158, Loss  1.464697, Average Loss  1.447269, Time  0.442686
2021-09-24 15:50:40.047340 : Epoch  8, Batch    159, Loss  1.459201, Average Loss  1.447255, Time  0.444096
2021-09-24 15:50:46.011888 : Epoch  8, Batch    160, Loss  1.439548, Average Loss  1.447180, Time  0.445190
2021-09-24 15:50:51.966971 : Epoch  8, Batch    161, Loss  1.451678, Average Loss  1.447247, Time  0.444416
2021-09-24 15:50:57.937778 : Epoch  8, Batch    162, Loss  1.455247, Average Loss  1.447279, Time  0.450362
2021-09-24 15:51:03.903070 : Epoch  8, Batch    163, Loss  1.439367, Average Loss  1.447222, Time  0.450276
2021-09-24 15:51:09.856757 : Epoch  8, Batch    164, Loss  1.445607, Average Loss  1.447244, Time  0.444627
2021-09-24 15:51:15.828891 : Epoch  8, Batch    165, Loss  1.444574, Average Loss  1.447269, Time  0.443974
2021-09-24 15:51:21.801647 : Epoch  8, Batch    166, Loss  1.454122, Average Loss  1.447361, Time  0.442985
2021-09-24 15:51:27.778056 : Epoch  8, Batch    167, Loss  1.432886, Average Loss  1.447287, Time  0.443561
2021-09-24 15:51:33.756605 : Epoch  8, Batch    168, Loss  1.456965, Average Loss  1.447346, Time  0.444111
2021-09-24 15:51:39.713075 : Epoch  8, Batch    169, Loss  1.454894, Average Loss  1.447398, Time  0.444286
2021-09-24 15:51:45.690680 : Epoch  8, Batch    170, Loss  1.443113, Average Loss  1.447393, Time  0.453762
2021-09-24 15:51:51.655782 : Epoch  8, Batch    171, Loss  1.437655, Average Loss  1.447304, Time  0.447532
2021-09-24 15:51:57.620694 : Epoch  8, Batch    172, Loss  1.452807, Average Loss  1.447294, Time  0.444966
2021-09-24 15:52:03.578968 : Epoch  8, Batch    173, Loss  1.453928, Average Loss  1.447351, Time  0.443734
2021-09-24 15:52:09.553445 : Epoch  8, Batch    174, Loss  1.457629, Average Loss  1.447432, Time  0.445344
2021-09-24 15:52:15.530932 : Epoch  8, Batch    175, Loss  1.444206, Average Loss  1.447408, Time  0.444856
2021-09-24 15:52:21.503388 : Epoch  8, Batch    176, Loss  1.454230, Average Loss  1.447457, Time  0.445065
2021-09-24 15:52:27.471551 : Epoch  8, Batch    177, Loss  1.448055, Average Loss  1.447394, Time  0.448327
2021-09-24 15:52:33.442964 : Epoch  8, Batch    178, Loss  1.434116, Average Loss  1.447307, Time  0.457507
2021-09-24 15:52:39.410605 : Epoch  8, Batch    179, Loss  1.455196, Average Loss  1.447335, Time  0.445355
2021-09-24 15:52:45.363823 : Epoch  8, Batch    180, Loss  1.441745, Average Loss  1.447300, Time  0.443277
2021-09-24 15:52:51.316946 : Epoch  8, Batch    181, Loss  1.454471, Average Loss  1.447377, Time  0.443238
2021-09-24 15:52:57.280692 : Epoch  8, Batch    182, Loss  1.469639, Average Loss  1.447565, Time  0.445075
2021-09-24 15:53:03.254277 : Epoch  8, Batch    183, Loss  1.428202, Average Loss  1.447447, Time  0.449975
2021-09-24 15:53:09.216255 : Epoch  8, Batch    184, Loss  1.452530, Average Loss  1.447489, Time  0.446011
2021-09-24 15:53:15.168390 : Epoch  8, Batch    185, Loss  1.443156, Average Loss  1.447451, Time  0.445115
2021-09-24 15:53:21.139802 : Epoch  8, Batch    186, Loss  1.446750, Average Loss  1.447416, Time  0.456270
2021-09-24 15:53:27.114763 : Epoch  8, Batch    187, Loss  1.442673, Average Loss  1.447432, Time  0.448813
2021-09-24 15:53:33.072279 : Epoch  8, Batch    188, Loss  1.427731, Average Loss  1.447384, Time  0.444986
2021-09-24 15:53:39.041842 : Epoch  8, Batch    189, Loss  1.450865, Average Loss  1.447372, Time  0.444185
2021-09-24 15:53:45.007938 : Epoch  8, Batch    190, Loss  1.443677, Average Loss  1.447462, Time  0.443927
2021-09-24 15:53:50.969625 : Epoch  8, Batch    191, Loss  1.437403, Average Loss  1.447434, Time  0.447225
2021-09-24 15:53:56.944806 : Epoch  8, Batch    192, Loss  1.439526, Average Loss  1.447335, Time  0.445654
2021-09-24 15:54:02.910434 : Epoch  8, Batch    193, Loss  1.456212, Average Loss  1.447383, Time  0.452891
2021-09-24 15:54:08.875903 : Epoch  8, Batch    194, Loss  1.450253, Average Loss  1.447380, Time  0.445539
2021-09-24 15:54:14.847366 : Epoch  8, Batch    195, Loss  1.452869, Average Loss  1.447466, Time  0.444216
2021-09-24 15:54:20.810182 : Epoch  8, Batch    196, Loss  1.440713, Average Loss  1.447418, Time  0.444920
2021-09-24 15:54:26.790225 : Epoch  8, Batch    197, Loss  1.438115, Average Loss  1.447434, Time  0.448252
2021-09-24 15:54:32.748392 : Epoch  8, Batch    198, Loss  1.449646, Average Loss  1.447506, Time  0.443478
2021-09-24 15:54:38.740765 : Epoch  8, Batch    199, Loss  1.456879, Average Loss  1.447517, Time  0.450301
2021-09-24 15:54:44.704338 : Epoch  8, Batch    200, Loss  1.446607, Average Loss  1.447496, Time  0.448190
2021-09-24 15:54:50.691626 : Epoch  8, Batch    201, Loss  1.443595, Average Loss  1.447460, Time  0.456550
2021-09-24 15:54:56.649269 : Epoch  8, Batch    202, Loss  1.462468, Average Loss  1.447502, Time  0.445541
2021-09-24 15:55:02.594123 : Epoch  8, Batch    203, Loss  1.448752, Average Loss  1.447532, Time  0.442822
2021-09-24 15:55:08.548636 : Epoch  8, Batch    204, Loss  1.453249, Average Loss  1.447571, Time  0.442665
2021-09-24 15:59:47.490193 : CheckPoint: Validation Loss  0.00025086, Best Loss  0.00024587
2021-09-24 15:59:53.442350 : Epoch  8, Batch    205, Loss  1.444206, Average Loss  1.447592, Time  0.444858
2021-09-24 15:59:59.396164 : Epoch  8, Batch    206, Loss  1.446133, Average Loss  1.447577, Time  0.443910
2021-09-24 16:00:05.351184 : Epoch  8, Batch    207, Loss  1.458382, Average Loss  1.447591, Time  0.443397
2021-09-24 16:00:11.320619 : Epoch  8, Batch    208, Loss  1.452715, Average Loss  1.447728, Time  0.459600
2021-09-24 16:00:17.271922 : Epoch  8, Batch    209, Loss  1.436163, Average Loss  1.447758, Time  0.447115
2021-09-24 16:00:23.235532 : Epoch  8, Batch    210, Loss  1.465497, Average Loss  1.447866, Time  0.447022
2021-09-24 16:00:29.191978 : Epoch  8, Batch    211, Loss  1.457135, Average Loss  1.447951, Time  0.447973
2021-09-24 16:00:35.156198 : Epoch  8, Batch    212, Loss  1.448002, Average Loss  1.447942, Time  0.444863
2021-09-24 16:00:41.110499 : Epoch  8, Batch    213, Loss  1.444683, Average Loss  1.448040, Time  0.445132
2021-09-24 16:00:47.055214 : Epoch  8, Batch    214, Loss  1.455660, Average Loss  1.448035, Time  0.447057
2021-09-24 16:00:53.017539 : Epoch  8, Batch    215, Loss  1.443589, Average Loss  1.448024, Time  0.445452
2021-09-24 16:00:58.998228 : Epoch  8, Batch    216, Loss  1.445480, Average Loss  1.448018, Time  0.456722
2021-09-24 16:01:04.980817 : Epoch  8, Batch    217, Loss  1.443840, Average Loss  1.447997, Time  0.444954
2021-09-24 16:01:10.928938 : Epoch  8, Batch    218, Loss  1.460955, Average Loss  1.448075, Time  0.442903
2021-09-24 16:01:16.884890 : Epoch  8, Batch    219, Loss  1.445981, Average Loss  1.448030, Time  0.447729
2021-09-24 16:01:22.831033 : Epoch  8, Batch    220, Loss  1.439407, Average Loss  1.447994, Time  0.444803
2021-09-24 16:01:28.793360 : Epoch  8, Batch    221, Loss  1.439436, Average Loss  1.447959, Time  0.443471
2021-09-24 16:01:34.742879 : Epoch  8, Batch    222, Loss  1.445855, Average Loss  1.447904, Time  0.445556
2021-09-24 16:01:40.711209 : Epoch  8, Batch    223, Loss  1.446547, Average Loss  1.447941, Time  0.461133
2021-09-24 16:01:46.666622 : Epoch  8, Batch    224, Loss  1.460594, Average Loss  1.447941, Time  0.443740
2021-09-24 16:01:52.621223 : Epoch  8, Batch    225, Loss  1.442608, Average Loss  1.447977, Time  0.447885
2021-09-24 16:01:58.585343 : Epoch  8, Batch    226, Loss  1.444021, Average Loss  1.447889, Time  0.447596
2021-09-24 16:02:04.532305 : Epoch  8, Batch    227, Loss  1.444802, Average Loss  1.447856, Time  0.444097
2021-09-24 16:02:10.478552 : Epoch  8, Batch    228, Loss  1.457269, Average Loss  1.447880, Time  0.442914
2021-09-24 16:02:16.437697 : Epoch  8, Batch    229, Loss  1.448331, Average Loss  1.447939, Time  0.443347
2021-09-24 16:02:22.383439 : Epoch  8, Batch    230, Loss  1.453365, Average Loss  1.447884, Time  0.445918
2021-09-24 16:02:28.346212 : Epoch  8, Batch    231, Loss  1.455743, Average Loss  1.447860, Time  0.460342
2021-09-24 16:02:34.311936 : Epoch  8, Batch    232, Loss  1.464815, Average Loss  1.447918, Time  0.443592
2021-09-24 16:02:40.253825 : Epoch  8, Batch    233, Loss  1.444695, Average Loss  1.447941, Time  0.444003
2021-09-24 16:02:46.203094 : Epoch  8, Batch    234, Loss  1.446126, Average Loss  1.447857, Time  0.449140
2021-09-24 16:02:52.164987 : Epoch  8, Batch    235, Loss  1.459775, Average Loss  1.447949, Time  0.446340
2021-09-24 16:02:58.117728 : Epoch  8, Batch    236, Loss  1.426605, Average Loss  1.447845, Time  0.444031
2021-09-24 16:03:04.080817 : Epoch  8, Batch    237, Loss  1.435230, Average Loss  1.447871, Time  0.442864
2021-09-24 16:03:10.030565 : Epoch  8, Batch    238, Loss  1.451329, Average Loss  1.447874, Time  0.443872
2021-09-24 16:03:16.002195 : Epoch  8, Batch    239, Loss  1.453597, Average Loss  1.447942, Time  0.458036
2021-09-24 16:03:21.956388 : Epoch  8, Batch    240, Loss  1.453576, Average Loss  1.447964, Time  0.447786
2021-09-24 16:03:27.891682 : Epoch  8, Batch    241, Loss  1.450649, Average Loss  1.447953, Time  0.446009
2021-09-24 16:03:33.849856 : Epoch  8, Batch    242, Loss  1.444806, Average Loss  1.447912, Time  0.445422
2021-09-24 16:03:39.794964 : Epoch  8, Batch    243, Loss  1.450505, Average Loss  1.447871, Time  0.447819
2021-09-24 16:03:45.736789 : Epoch  8, Batch    244, Loss  1.450920, Average Loss  1.447896, Time  0.444671
2021-09-24 16:03:51.705178 : Epoch  8, Batch    245, Loss  1.434808, Average Loss  1.447840, Time  0.445746
2021-09-24 16:03:57.672958 : Epoch  8, Batch    246, Loss  1.459138, Average Loss  1.447845, Time  0.456892
2021-09-24 16:04:03.633737 : Epoch  8, Batch    247, Loss  1.451200, Average Loss  1.447874, Time  0.445629
2021-09-24 16:04:09.573840 : Epoch  8, Batch    248, Loss  1.436558, Average Loss  1.447812, Time  0.443369
2021-09-24 16:04:15.528742 : Epoch  8, Batch    249, Loss  1.450615, Average Loss  1.447892, Time  0.443414
2021-09-24 16:04:21.481147 : Epoch  8, Batch    250, Loss  1.459442, Average Loss  1.447963, Time  0.445683
2021-09-24 16:04:27.427428 : Epoch  8, Batch    251, Loss  1.445903, Average Loss  1.447973, Time  0.443489
2021-09-24 16:04:33.380940 : Epoch  8, Batch    252, Loss  1.435614, Average Loss  1.447873, Time  0.444743
2021-09-24 16:04:39.341179 : Epoch  8, Batch    253, Loss  1.451750, Average Loss  1.447918, Time  0.444388
2021-09-24 16:04:45.307507 : Epoch  8, Batch    254, Loss  1.450286, Average Loss  1.447921, Time  0.456347
2021-09-24 16:04:51.239215 : Epoch  8, Batch    255, Loss  1.441519, Average Loss  1.447840, Time  0.447488
2021-09-24 16:04:57.183245 : Epoch  8, Batch    256, Loss  1.452257, Average Loss  1.447865, Time  0.444989
2021-09-24 16:05:03.140854 : Epoch  8, Batch    257, Loss  1.451746, Average Loss  1.447960, Time  0.447030
2021-09-24 16:05:09.095820 : Epoch  8, Batch    258, Loss  1.451099, Average Loss  1.447959, Time  0.443012
2021-09-24 16:05:15.070755 : Epoch  8, Batch    259, Loss  1.442687, Average Loss  1.447968, Time  0.443837
2021-09-24 16:05:21.042889 : Epoch  8, Batch    260, Loss  1.450729, Average Loss  1.447977, Time  0.446881
2021-09-24 16:05:26.989342 : Epoch  8, Batch    261, Loss  1.435548, Average Loss  1.447946, Time  0.443586
2021-09-24 16:05:32.953969 : Epoch  8, Batch    262, Loss  1.446194, Average Loss  1.447941, Time  0.453145
2021-09-24 16:05:38.892170 : Epoch  8, Batch    263, Loss  1.445902, Average Loss  1.447973, Time  0.446950
2021-09-24 16:05:44.843102 : Epoch  8, Batch    264, Loss  1.449736, Average Loss  1.447988, Time  0.444823
2021-09-24 16:05:50.781868 : Epoch  8, Batch    265, Loss  1.451506, Average Loss  1.448005, Time  0.444519
2021-09-24 16:05:56.721671 : Epoch  8, Batch    266, Loss  1.445964, Average Loss  1.448051, Time  0.444231
2021-09-24 16:06:02.695814 : Epoch  8, Batch    267, Loss  1.443779, Average Loss  1.448046, Time  0.446460
2021-09-24 16:06:08.661493 : Epoch  8, Batch    268, Loss  1.457367, Average Loss  1.448110, Time  0.445677
2021-09-24 16:06:14.626599 : Epoch  8, Batch    269, Loss  1.450235, Average Loss  1.448187, Time  0.459217
2021-09-24 16:06:20.611006 : Epoch  8, Batch    270, Loss  1.451059, Average Loss  1.448192, Time  0.443495
2021-09-24 16:06:26.577012 : Epoch  8, Batch    271, Loss  1.433552, Average Loss  1.448138, Time  0.443009
2021-09-24 16:06:32.554068 : Epoch  8, Batch    272, Loss  1.441555, Average Loss  1.448129, Time  0.446329
2021-09-24 16:06:38.520743 : Epoch  8, Batch    273, Loss  1.450026, Average Loss  1.448126, Time  0.444886
2021-09-24 16:06:44.487411 : Epoch  8, Batch    274, Loss  1.444018, Average Loss  1.448142, Time  0.444731
2021-09-24 16:06:50.461773 : Epoch  8, Batch    275, Loss  1.451054, Average Loss  1.448095, Time  0.445892
2021-09-24 16:06:56.449590 : Epoch  8, Batch    276, Loss  1.452950, Average Loss  1.448108, Time  0.448711
2021-09-24 16:07:02.425980 : Epoch  8, Batch    277, Loss  1.444212, Average Loss  1.448078, Time  0.457906
2021-09-24 16:07:08.388653 : Epoch  8, Batch    278, Loss  1.445118, Average Loss  1.448078, Time  0.444490
2021-09-24 16:07:14.356809 : Epoch  8, Batch    279, Loss  1.435911, Average Loss  1.448004, Time  0.450657
2021-09-24 16:07:20.312378 : Epoch  8, Batch    280, Loss  1.428826, Average Loss  1.447901, Time  0.442790
2021-09-24 16:07:26.272540 : Epoch  8, Batch    281, Loss  1.445431, Average Loss  1.447891, Time  0.443561
2021-09-24 16:07:32.240256 : Epoch  8, Batch    282, Loss  1.457346, Average Loss  1.447984, Time  0.443865
2021-09-24 16:07:38.212002 : Epoch  8, Batch    283, Loss  1.446646, Average Loss  1.447960, Time  0.443826
2021-09-24 16:07:44.171132 : Epoch  8, Batch    284, Loss  1.455752, Average Loss  1.447962, Time  0.444893
2021-09-24 16:07:50.152277 : Epoch  8, Batch    285, Loss  1.432706, Average Loss  1.447869, Time  0.454374
2021-09-24 16:07:56.113465 : Epoch  8, Batch    286, Loss  1.445140, Average Loss  1.447827, Time  0.446126
2021-09-24 16:08:02.073509 : Epoch  8, Batch    287, Loss  1.451003, Average Loss  1.447845, Time  0.445850
2021-09-24 16:08:08.035476 : Epoch  8, Batch    288, Loss  1.442788, Average Loss  1.447872, Time  0.444377
2021-09-24 16:08:14.002627 : Epoch  8, Batch    289, Loss  1.451346, Average Loss  1.447863, Time  0.443415
2021-09-24 16:08:19.953906 : Epoch  8, Batch    290, Loss  1.437665, Average Loss  1.447808, Time  0.444875
2021-09-24 16:08:25.915977 : Epoch  8, Batch    291, Loss  1.448461, Average Loss  1.447819, Time  0.450941
2021-09-24 16:08:31.863393 : Epoch  8, Batch    292, Loss  1.440305, Average Loss  1.447820, Time  0.457359
2021-09-24 16:08:37.838904 : Epoch  8, Batch    293, Loss  1.459330, Average Loss  1.447840, Time  0.447133
2021-09-24 16:08:43.799614 : Epoch  8, Batch    294, Loss  1.454407, Average Loss  1.447932, Time  0.445101
2021-09-24 16:08:49.740662 : Epoch  8, Batch    295, Loss  1.437648, Average Loss  1.447840, Time  0.446052
2021-09-24 16:08:55.691832 : Epoch  8, Batch    296, Loss  1.449003, Average Loss  1.447888, Time  0.443768
2021-09-24 16:09:01.642750 : Epoch  8, Batch    297, Loss  1.442632, Average Loss  1.447864, Time  0.445135
2021-09-24 16:09:07.614658 : Epoch  8, Batch    298, Loss  1.458002, Average Loss  1.447948, Time  0.444499
2021-09-24 16:09:13.585204 : Epoch  8, Batch    299, Loss  1.439631, Average Loss  1.447880, Time  0.444861
2021-09-24 16:09:19.556451 : Epoch  8, Batch    300, Loss  1.471316, Average Loss  1.447928, Time  0.452319
2021-09-24 16:09:25.511610 : Epoch  8, Batch    301, Loss  1.456389, Average Loss  1.448029, Time  0.443301
2021-09-24 16:09:31.473664 : Epoch  8, Batch    302, Loss  1.449949, Average Loss  1.448061, Time  0.449585
2021-09-24 16:09:37.444264 : Epoch  8, Batch    303, Loss  1.444272, Average Loss  1.448119, Time  0.442591
2021-09-24 16:09:43.403515 : Epoch  8, Batch    304, Loss  1.430048, Average Loss  1.448074, Time  0.444043
2021-09-24 16:14:22.450871 : CheckPoint: Validation Loss  0.00025268, Best Loss  0.00024587
2021-09-24 16:14:28.410864 : Epoch  8, Batch    305, Loss  1.445937, Average Loss  1.448115, Time  0.443292
2021-09-24 16:14:34.354889 : Epoch  8, Batch    306, Loss  1.457610, Average Loss  1.448196, Time  0.446395
2021-09-24 16:14:40.325808 : Epoch  8, Batch    307, Loss  1.442928, Average Loss  1.448176, Time  0.460989
2021-09-24 16:14:46.288318 : Epoch  8, Batch    308, Loss  1.451450, Average Loss  1.448152, Time  0.443959
2021-09-24 16:14:52.256493 : Epoch  8, Batch    309, Loss  1.449732, Average Loss  1.448162, Time  0.448045
2021-09-24 16:14:58.218223 : Epoch  8, Batch    310, Loss  1.451678, Average Loss  1.448140, Time  0.443506
2021-09-24 16:15:04.188614 : Epoch  8, Batch    311, Loss  1.446521, Average Loss  1.448195, Time  0.443342
2021-09-24 16:15:10.132070 : Epoch  8, Batch    312, Loss  1.441113, Average Loss  1.448165, Time  0.445521
2021-09-24 16:15:16.090555 : Epoch  8, Batch    313, Loss  1.441366, Average Loss  1.448149, Time  0.444482
2021-09-24 16:15:22.052975 : Epoch  8, Batch    314, Loss  1.447196, Average Loss  1.448165, Time  0.444576
2021-09-24 16:15:28.027670 : Epoch  8, Batch    315, Loss  1.435288, Average Loss  1.448097, Time  0.455447
2021-09-24 16:15:34.000962 : Epoch  8, Batch    316, Loss  1.458159, Average Loss  1.448104, Time  0.446569
2021-09-24 16:15:39.942262 : Epoch  8, Batch    317, Loss  1.446272, Average Loss  1.448023, Time  0.444484
2021-09-24 16:15:45.892229 : Epoch  8, Batch    318, Loss  1.447637, Average Loss  1.447998, Time  0.443850
2021-09-24 16:15:51.851531 : Epoch  8, Batch    319, Loss  1.452852, Average Loss  1.448031, Time  0.444961
2021-09-24 16:15:57.816692 : Epoch  8, Batch    320, Loss  1.453334, Average Loss  1.448027, Time  0.450475
2021-09-24 16:16:03.775128 : Epoch  8, Batch    321, Loss  1.448710, Average Loss  1.448024, Time  0.443823
2021-09-24 16:16:09.730732 : Epoch  8, Batch    322, Loss  1.449374, Average Loss  1.448041, Time  0.462157
2021-09-24 16:16:15.699083 : Epoch  8, Batch    323, Loss  1.445397, Average Loss  1.447992, Time  0.445022
2021-09-24 16:16:21.652121 : Epoch  8, Batch    324, Loss  1.443894, Average Loss  1.447951, Time  0.446766
2021-09-24 16:16:27.591579 : Epoch  8, Batch    325, Loss  1.436200, Average Loss  1.447826, Time  0.443635
2021-09-24 16:16:33.561859 : Epoch  8, Batch    326, Loss  1.445624, Average Loss  1.447795, Time  0.447085
2021-09-24 16:16:39.517910 : Epoch  8, Batch    327, Loss  1.427223, Average Loss  1.447715, Time  0.447093
2021-09-24 16:16:45.479402 : Epoch  8, Batch    328, Loss  1.454903, Average Loss  1.447691, Time  0.445109
2021-09-24 16:16:51.445374 : Epoch  8, Batch    329, Loss  1.454308, Average Loss  1.447714, Time  0.448823
2021-09-24 16:16:57.423679 : Epoch  8, Batch    330, Loss  1.450907, Average Loss  1.447746, Time  0.456259
2021-09-24 16:17:03.386741 : Epoch  8, Batch    331, Loss  1.424210, Average Loss  1.447632, Time  0.445218
2021-09-24 16:17:09.367468 : Epoch  8, Batch    332, Loss  1.447818, Average Loss  1.447608, Time  0.451651
2021-09-24 16:17:15.327740 : Epoch  8, Batch    333, Loss  1.450265, Average Loss  1.447611, Time  0.445600
2021-09-24 16:17:21.270658 : Epoch  8, Batch    334, Loss  1.449571, Average Loss  1.447565, Time  0.446286
2021-09-24 16:17:27.223983 : Epoch  8, Batch    335, Loss  1.433206, Average Loss  1.447568, Time  0.444704
2021-09-24 16:17:33.179825 : Epoch  8, Batch    336, Loss  1.452667, Average Loss  1.447587, Time  0.445431
2021-09-24 16:17:39.136960 : Epoch  8, Batch    337, Loss  1.441776, Average Loss  1.447498, Time  0.446341
2021-09-24 16:17:45.099459 : Epoch  8, Batch    338, Loss  1.446973, Average Loss  1.447513, Time  0.456555
2021-09-24 16:17:51.064647 : Epoch  8, Batch    339, Loss  1.436820, Average Loss  1.447465, Time  0.444613
2021-09-24 16:17:57.029443 : Epoch  8, Batch    340, Loss  1.455817, Average Loss  1.447488, Time  0.444794
2021-09-24 16:18:02.990744 : Epoch  8, Batch    341, Loss  1.435586, Average Loss  1.447440, Time  0.445767
2021-09-24 16:18:08.949985 : Epoch  8, Batch    342, Loss  1.457421, Average Loss  1.447536, Time  0.445136
2021-09-24 16:18:14.897909 : Epoch  8, Batch    343, Loss  1.451527, Average Loss  1.447552, Time  0.449967
2021-09-24 16:18:20.854784 : Epoch  8, Batch    344, Loss  1.442700, Average Loss  1.447453, Time  0.445661
2021-09-24 16:18:26.837420 : Epoch  8, Batch    345, Loss  1.436038, Average Loss  1.447359, Time  0.456542
2021-09-24 16:18:32.782681 : Epoch  8, Batch    346, Loss  1.443976, Average Loss  1.447372, Time  0.444747
2021-09-24 16:18:38.738734 : Epoch  8, Batch    347, Loss  1.450347, Average Loss  1.447459, Time  0.444503
2021-09-24 16:18:44.719912 : Epoch  8, Batch    348, Loss  1.442746, Average Loss  1.447447, Time  0.445526
2021-09-24 16:18:50.682464 : Epoch  8, Batch    349, Loss  1.450631, Average Loss  1.447417, Time  0.444897
2021-09-24 16:18:56.615926 : Epoch  8, Batch    350, Loss  1.447312, Average Loss  1.447413, Time  0.445646
2021-09-24 16:19:02.559074 : Epoch  8, Batch    351, Loss  1.450678, Average Loss  1.447486, Time  0.444463
2021-09-24 16:19:08.508209 : Epoch  8, Batch    352, Loss  1.441494, Average Loss  1.447462, Time  0.447728
2021-09-24 16:19:14.471183 : Epoch  8, Batch    353, Loss  1.447711, Average Loss  1.447446, Time  0.455420
2021-09-24 16:19:20.429674 : Epoch  8, Batch    354, Loss  1.443974, Average Loss  1.447420, Time  0.445325
2021-09-24 16:19:26.403194 : Epoch  8, Batch    355, Loss  1.450291, Average Loss  1.447452, Time  0.445495
2021-09-24 16:19:32.363615 : Epoch  8, Batch    356, Loss  1.441222, Average Loss  1.447430, Time  0.443874
2021-09-24 16:19:38.318878 : Epoch  8, Batch    357, Loss  1.450089, Average Loss  1.447410, Time  0.444761
2021-09-24 16:19:44.276306 : Epoch  8, Batch    358, Loss  1.423788, Average Loss  1.447206, Time  0.447543
2021-09-24 16:19:50.225205 : Epoch  8, Batch    359, Loss  1.453268, Average Loss  1.447176, Time  0.446907
2021-09-24 16:19:56.166763 : Epoch  8, Batch    360, Loss  1.457197, Average Loss  1.447264, Time  0.450519
2021-09-24 16:20:02.133573 : Epoch  8, Batch    361, Loss  1.450088, Average Loss  1.447256, Time  0.452125
2021-09-24 16:20:08.112147 : Epoch  8, Batch    362, Loss  1.453535, Average Loss  1.447248, Time  0.446910
2021-09-24 16:20:14.065795 : Epoch  8, Batch    363, Loss  1.436972, Average Loss  1.447236, Time  0.451239
2021-09-24 16:20:20.027492 : Epoch  8, Batch    364, Loss  1.449531, Average Loss  1.447255, Time  0.446056
2021-09-24 16:20:25.970807 : Epoch  8, Batch    365, Loss  1.457214, Average Loss  1.447319, Time  0.443188
2021-09-24 16:20:31.929284 : Epoch  8, Batch    366, Loss  1.465726, Average Loss  1.447377, Time  0.443106
2021-09-24 16:20:37.879782 : Epoch  8, Batch    367, Loss  1.453216, Average Loss  1.447478, Time  0.446361
2021-09-24 16:20:43.830416 : Epoch  8, Batch    368, Loss  1.453311, Average Loss  1.447460, Time  0.458753
2021-09-24 16:20:49.794195 : Epoch  8, Batch    369, Loss  1.464222, Average Loss  1.447507, Time  0.445296
2021-09-24 16:20:55.767638 : Epoch  8, Batch    370, Loss  1.442984, Average Loss  1.447506, Time  0.445033
2021-09-24 16:21:01.729949 : Epoch  8, Batch    371, Loss  1.439066, Average Loss  1.447513, Time  0.442759
2021-09-24 16:21:07.679884 : Epoch  8, Batch    372, Loss  1.457797, Average Loss  1.447538, Time  0.443146
2021-09-24 16:21:13.639653 : Epoch  8, Batch    373, Loss  1.435250, Average Loss  1.447445, Time  0.445837
2021-09-24 16:21:19.596533 : Epoch  8, Batch    374, Loss  1.437408, Average Loss  1.447343, Time  0.445894
2021-09-24 16:21:25.570821 : Epoch  8, Batch    375, Loss  1.444008, Average Loss  1.447342, Time  0.446800
2021-09-24 16:21:31.537630 : Epoch  8, Batch    376, Loss  1.462499, Average Loss  1.447384, Time  0.452946
2021-09-24 16:21:37.503208 : Epoch  8, Batch    377, Loss  1.449716, Average Loss  1.447392, Time  0.447686
2021-09-24 16:21:43.468641 : Epoch  8, Batch    378, Loss  1.449432, Average Loss  1.447469, Time  0.444408
2021-09-24 16:21:49.443109 : Epoch  8, Batch    379, Loss  1.436037, Average Loss  1.447373, Time  0.443730
2021-09-24 16:21:55.395837 : Epoch  8, Batch    380, Loss  1.447809, Average Loss  1.447403, Time  0.443902
2021-09-24 16:22:01.368002 : Epoch  8, Batch    381, Loss  1.439461, Average Loss  1.447328, Time  0.444180
2021-09-24 16:22:07.328711 : Epoch  8, Batch    382, Loss  1.438650, Average Loss  1.447173, Time  0.444026
2021-09-24 16:22:13.299486 : Epoch  8, Batch    383, Loss  1.448666, Average Loss  1.447276, Time  0.446519
2021-09-24 16:22:19.273668 : Epoch  8, Batch    384, Loss  1.453404, Average Loss  1.447280, Time  0.457658
2021-09-24 16:22:25.247204 : Epoch  8, Batch    385, Loss  1.443580, Average Loss  1.447282, Time  0.444243
2021-09-24 16:22:31.207031 : Epoch  8, Batch    386, Loss  1.436529, Average Loss  1.447231, Time  0.444725
2021-09-24 16:22:37.170852 : Epoch  8, Batch    387, Loss  1.453371, Average Loss  1.447284, Time  0.443781
2021-09-24 16:22:43.127451 : Epoch  8, Batch    388, Loss  1.445601, Average Loss  1.447374, Time  0.443058
2021-09-24 16:22:49.133830 : Epoch  8, Batch    389, Loss  1.449964, Average Loss  1.447369, Time  0.447046
2021-09-24 16:22:55.100473 : Epoch  8, Batch    390, Loss  1.465268, Average Loss  1.447477, Time  0.445300
2021-09-24 16:23:01.063403 : Epoch  8, Batch    391, Loss  1.445348, Average Loss  1.447517, Time  0.457412
2021-09-24 16:23:07.026882 : Epoch  8, Batch    392, Loss  1.450889, Average Loss  1.447574, Time  0.444645
2021-09-24 16:23:12.997059 : Epoch  8, Batch    393, Loss  1.434298, Average Loss  1.447464, Time  0.446858
2021-09-24 16:23:18.954766 : Epoch  8, Batch    394, Loss  1.429793, Average Loss  1.447362, Time  0.445607
2021-09-24 16:23:24.930630 : Epoch  8, Batch    395, Loss  1.432431, Average Loss  1.447260, Time  0.445302
2021-09-24 16:23:30.872104 : Epoch  8, Batch    396, Loss  1.452765, Average Loss  1.447320, Time  0.444411
2021-09-24 16:23:36.815663 : Epoch  8, Batch    397, Loss  1.441289, Average Loss  1.447336, Time  0.444086
2021-09-24 16:23:42.778690 : Epoch  8, Batch    398, Loss  1.433883, Average Loss  1.447257, Time  0.446879
2021-09-24 16:23:48.735308 : Epoch  8, Batch    399, Loss  1.434473, Average Loss  1.447145, Time  0.454012
2021-09-24 16:23:54.689061 : Epoch  8, Batch    400, Loss  1.453618, Average Loss  1.447180, Time  0.444242
2021-09-24 16:24:00.660217 : Epoch  8, Batch    401, Loss  1.443292, Average Loss  1.447179, Time  0.443424
2021-09-24 16:24:06.628515 : Epoch  8, Batch    402, Loss  1.454649, Average Loss  1.447139, Time  0.445041
2021-09-24 16:24:12.602274 : Epoch  8, Batch    403, Loss  1.439251, Average Loss  1.447092, Time  0.445886
2021-09-24 16:24:18.563086 : Epoch  8, Batch    404, Loss  1.455744, Average Loss  1.447104, Time  0.446537
2021-09-24 16:28:57.414050 : CheckPoint: Validation Loss  0.00025483, Best Loss  0.00024587
2021-09-24 16:29:03.365716 : Epoch  8, Batch    405, Loss  1.444829, Average Loss  1.447107, Time  0.443874
2021-09-24 16:29:09.341135 : Epoch  8, Batch    406, Loss  1.440199, Average Loss  1.447078, Time  0.459606
2021-09-24 16:29:15.304693 : Epoch  8, Batch    407, Loss  1.450695, Average Loss  1.447039, Time  0.443025
2021-09-24 16:29:21.264530 : Epoch  8, Batch    408, Loss  1.445648, Average Loss  1.447004, Time  0.442957
2021-09-24 16:29:27.230794 : Epoch  8, Batch    409, Loss  1.445219, Average Loss  1.447049, Time  0.442943
2021-09-24 16:29:33.201696 : Epoch  8, Batch    410, Loss  1.445830, Average Loss  1.446951, Time  0.445080
2021-09-24 16:29:39.160636 : Epoch  8, Batch    411, Loss  1.441386, Average Loss  1.446872, Time  0.446494
2021-09-24 16:29:45.123292 : Epoch  8, Batch    412, Loss  1.452534, Average Loss  1.446895, Time  0.449506
2021-09-24 16:29:51.073856 : Epoch  8, Batch    413, Loss  1.445414, Average Loss  1.446899, Time  0.443713
2021-09-24 16:29:57.046000 : Epoch  8, Batch    414, Loss  1.454706, Average Loss  1.446894, Time  0.454702
2021-09-24 16:30:03.003917 : Epoch  8, Batch    415, Loss  1.458862, Average Loss  1.446970, Time  0.443313
2021-09-24 16:30:08.967244 : Epoch  8, Batch    416, Loss  1.458348, Average Loss  1.447035, Time  0.446391
2021-09-24 16:30:14.921749 : Epoch  8, Batch    417, Loss  1.448940, Average Loss  1.447060, Time  0.445799
2021-09-24 16:30:20.884478 : Epoch  8, Batch    418, Loss  1.438106, Average Loss  1.446946, Time  0.445544
2021-09-24 16:30:26.826219 : Epoch  8, Batch    419, Loss  1.441361, Average Loss  1.446923, Time  0.445878
2021-09-24 16:30:32.784903 : Epoch  8, Batch    420, Loss  1.455160, Average Loss  1.447001, Time  0.445294
2021-09-24 16:30:38.756924 : Epoch  8, Batch    421, Loss  1.442421, Average Loss  1.447016, Time  0.460315
2021-09-24 16:30:44.731850 : Epoch  8, Batch    422, Loss  1.440878, Average Loss  1.446991, Time  0.444896
2021-09-24 16:30:50.706780 : Epoch  8, Batch    423, Loss  1.443243, Average Loss  1.446975, Time  0.444640
2021-09-24 16:30:56.672627 : Epoch  8, Batch    424, Loss  1.448066, Average Loss  1.446912, Time  0.445780
2021-09-24 16:31:02.633230 : Epoch  8, Batch    425, Loss  1.446261, Average Loss  1.446931, Time  0.445348
2021-09-24 16:31:08.610028 : Epoch  8, Batch    426, Loss  1.444586, Average Loss  1.446933, Time  0.447830
2021-09-24 16:31:14.581630 : Epoch  8, Batch    427, Loss  1.446498, Average Loss  1.446942, Time  0.444651
2021-09-24 16:31:20.532887 : Epoch  8, Batch    428, Loss  1.440087, Average Loss  1.446856, Time  0.445963
2021-09-24 16:31:26.507166 : Epoch  8, Batch    429, Loss  1.453140, Average Loss  1.446880, Time  0.451647
2021-09-24 16:32:42.490454 : Building dataset train from orignial text documents
2021-09-24 16:35:59.185097 : Finish Loading dataset train
2021-09-24 16:35:59.225598 : Data Shuffle
2021-09-24 16:35:59.271472 : Start Shuffling
2021-09-24 16:36:00.613723 : Finish Shuffling
2021-09-24 16:36:00.733547 : Generate Batch
2021-09-24 16:36:01.123331 : Building dataset valid from orignial text documents
2021-09-24 16:36:10.090654 : Finish Loading dataset valid
2021-09-24 16:36:10.138645 : Data Shuffle
2021-09-24 16:36:10.174518 : Start Shuffling
2021-09-24 16:36:10.268639 : Finish Shuffling
2021-09-24 16:36:10.309236 : Generate Batch
2021-09-24 16:36:10.376959 : There are 928 batches per epoch
2021-09-24 16:36:10.411840 : Batch Shuffled
2021-09-24 16:36:16.570820 : Epoch  1, Batch      1, Loss  1.983801, Average Loss  1.983801, Time  0.660269
2021-09-24 16:36:22.559323 : Epoch  1, Batch      2, Loss  1.985718, Average Loss  1.984760, Time  0.457123
2021-09-24 16:36:28.526727 : Epoch  1, Batch      3, Loss  1.985134, Average Loss  1.984885, Time  0.446681
2021-09-24 16:36:34.494544 : Epoch  1, Batch      4, Loss  1.980664, Average Loss  1.983829, Time  0.446021
2021-09-24 16:36:40.462817 : Epoch  1, Batch      5, Loss  1.984747, Average Loss  1.984013, Time  0.447478
2021-09-24 16:36:46.450469 : Epoch  1, Batch      6, Loss  1.971680, Average Loss  1.981957, Time  0.447446
2021-09-24 16:36:52.423284 : Epoch  1, Batch      7, Loss  1.969259, Average Loss  1.980143, Time  0.447634
2021-09-24 16:36:58.400946 : Epoch  1, Batch      8, Loss  1.966555, Average Loss  1.978445, Time  0.444756
2021-09-24 16:37:04.414761 : Epoch  1, Batch      9, Loss  1.956558, Average Loss  1.976013, Time  0.460093
2021-09-24 16:37:10.391673 : Epoch  1, Batch     10, Loss  1.946533, Average Loss  1.973065, Time  0.448630
2021-09-24 16:37:16.378056 : Epoch  1, Batch     11, Loss  1.937074, Average Loss  1.969793, Time  0.445174
2021-09-24 16:37:22.339816 : Epoch  1, Batch     12, Loss  1.929215, Average Loss  1.966412, Time  0.445377
2021-09-24 16:37:28.331173 : Epoch  1, Batch     13, Loss  1.920633, Average Loss  1.962890, Time  0.444807
2021-09-24 16:37:34.317358 : Epoch  1, Batch     14, Loss  1.907299, Average Loss  1.958919, Time  0.449389
2021-09-24 16:37:40.320244 : Epoch  1, Batch     15, Loss  1.897803, Average Loss  1.954845, Time  0.450035
2021-09-24 16:37:46.295941 : Epoch  1, Batch     16, Loss  1.880763, Average Loss  1.950215, Time  0.446535
2021-09-24 16:37:52.302840 : Epoch  1, Batch     17, Loss  1.872422, Average Loss  1.945639, Time  0.458890
2021-09-24 16:37:58.280870 : Epoch  1, Batch     18, Loss  1.859981, Average Loss  1.940880, Time  0.449564
2021-09-24 16:38:04.257305 : Epoch  1, Batch     19, Loss  1.850978, Average Loss  1.936148, Time  0.445843
2021-09-24 16:38:10.247999 : Epoch  1, Batch     20, Loss  1.834112, Average Loss  1.931047, Time  0.447269
2021-09-24 16:38:16.219344 : Epoch  1, Batch     21, Loss  1.823178, Average Loss  1.925910, Time  0.446237
2021-09-24 16:38:22.203223 : Epoch  1, Batch     22, Loss  1.810961, Average Loss  1.920685, Time  0.450948
2021-09-24 16:38:28.168902 : Epoch  1, Batch     23, Loss  1.800792, Average Loss  1.915472, Time  0.446216
2021-09-24 16:38:34.169095 : Epoch  1, Batch     24, Loss  1.790606, Average Loss  1.910270, Time  0.460109
2021-09-24 16:38:40.162878 : Epoch  1, Batch     25, Loss  1.779546, Average Loss  1.905041, Time  0.449355
2021-09-24 16:38:46.134172 : Epoch  1, Batch     26, Loss  1.769782, Average Loss  1.899838, Time  0.446405
2021-09-24 16:38:52.123539 : Epoch  1, Batch     27, Loss  1.756397, Average Loss  1.894526, Time  0.448189
2021-09-24 16:38:58.093375 : Epoch  1, Batch     28, Loss  1.751245, Average Loss  1.889409, Time  0.447766
2021-09-24 16:39:04.065548 : Epoch  1, Batch     29, Loss  1.740427, Average Loss  1.884271, Time  0.446060
2021-09-24 16:39:10.024928 : Epoch  1, Batch     30, Loss  1.725227, Average Loss  1.878970, Time  0.446030
2021-09-24 16:39:16.013490 : Epoch  1, Batch     31, Loss  1.721676, Average Loss  1.873896, Time  0.447195
2021-09-24 16:39:22.000241 : Epoch  1, Batch     32, Loss  1.723829, Average Loss  1.869206, Time  0.463396
2021-09-24 16:39:27.972733 : Epoch  1, Batch     33, Loss  1.723595, Average Loss  1.864794, Time  0.446988
2021-09-24 16:39:33.949796 : Epoch  1, Batch     34, Loss  1.704092, Average Loss  1.860067, Time  0.447130
2021-09-24 16:39:39.946858 : Epoch  1, Batch     35, Loss  1.713164, Average Loss  1.855870, Time  0.448153
2021-09-24 16:39:45.936167 : Epoch  1, Batch     36, Loss  1.703236, Average Loss  1.851630, Time  0.445942
2021-09-24 16:39:51.923832 : Epoch  1, Batch     37, Loss  1.706449, Average Loss  1.847706, Time  0.450131
2021-09-24 16:39:57.902864 : Epoch  1, Batch     38, Loss  1.716269, Average Loss  1.844247, Time  0.447627
2021-09-24 16:40:03.875025 : Epoch  1, Batch     39, Loss  1.699790, Average Loss  1.840543, Time  0.445518
2021-09-24 16:40:09.855502 : Epoch  1, Batch     40, Loss  1.695750, Average Loss  1.836924, Time  0.456174
2021-09-24 16:40:15.821094 : Epoch  1, Batch     41, Loss  1.681543, Average Loss  1.833134, Time  0.444864
2021-09-24 16:40:21.815220 : Epoch  1, Batch     42, Loss  1.682656, Average Loss  1.829551, Time  0.450333
2021-09-24 16:40:27.791806 : Epoch  1, Batch     43, Loss  1.687606, Average Loss  1.826250, Time  0.449545
2021-09-24 16:40:33.771368 : Epoch  1, Batch     44, Loss  1.686172, Average Loss  1.823066, Time  0.445898
2021-09-24 16:40:39.755274 : Epoch  1, Batch     45, Loss  1.691023, Average Loss  1.820132, Time  0.450009
2021-09-24 16:40:45.723239 : Epoch  1, Batch     46, Loss  1.675395, Average Loss  1.816986, Time  0.451554
2021-09-24 16:40:51.710869 : Epoch  1, Batch     47, Loss  1.681525, Average Loss  1.814103, Time  0.462562
2021-09-24 16:40:57.690906 : Epoch  1, Batch     48, Loss  1.673217, Average Loss  1.811168, Time  0.446163
2021-09-24 16:41:03.677554 : Epoch  1, Batch     49, Loss  1.670304, Average Loss  1.808294, Time  0.447717
2021-09-24 16:41:09.659834 : Epoch  1, Batch     50, Loss  1.680451, Average Loss  1.805737, Time  0.445636
2021-09-24 16:41:15.631208 : Epoch  1, Batch     51, Loss  1.670978, Average Loss  1.803094, Time  0.446092
2021-09-24 16:41:21.617441 : Epoch  1, Batch     52, Loss  1.671381, Average Loss  1.800561, Time  0.446598
2021-09-24 16:41:27.578500 : Epoch  1, Batch     53, Loss  1.672455, Average Loss  1.798144, Time  0.444824
2021-09-24 16:41:33.552003 : Epoch  1, Batch     54, Loss  1.667302, Average Loss  1.795721, Time  0.447093
2021-09-24 16:41:39.529471 : Epoch  1, Batch     55, Loss  1.668674, Average Loss  1.793411, Time  0.461492
2021-09-24 16:41:45.513484 : Epoch  1, Batch     56, Loss  1.675338, Average Loss  1.791303, Time  0.446426
2021-09-24 16:41:51.506501 : Epoch  1, Batch     57, Loss  1.675903, Average Loss  1.789278, Time  0.445140
2021-09-24 16:41:57.513789 : Epoch  1, Batch     58, Loss  1.670460, Average Loss  1.787230, Time  0.451599
2021-09-24 16:42:03.491811 : Epoch  1, Batch     59, Loss  1.666579, Average Loss  1.785185, Time  0.447037
2021-09-24 16:42:09.485700 : Epoch  1, Batch     60, Loss  1.656290, Average Loss  1.783037, Time  0.451600
2021-09-24 16:43:04.329473 : Building dataset train from orignial text documents
2021-09-24 16:46:24.753326 : Finish Loading dataset train
2021-09-24 16:46:24.799393 : Data Shuffle
2021-09-24 16:46:24.838792 : Start Shuffling
2021-09-24 16:46:26.185401 : Finish Shuffling
2021-09-24 16:46:26.280219 : Generate Batch
2021-09-24 16:46:26.631800 : Building dataset valid from orignial text documents
2021-09-24 16:46:36.437049 : Finish Loading dataset valid
2021-09-24 16:46:36.485711 : Data Shuffle
2021-09-24 16:46:36.519481 : Start Shuffling
2021-09-24 16:46:36.621076 : Finish Shuffling
2021-09-24 16:46:36.649279 : Generate Batch
2021-09-24 16:46:36.716863 : There are 928 batches per epoch
2021-09-24 16:46:36.748402 : Batch Shuffled
2021-09-24 17:02:45.390166 : Building dataset train from orignial text documents
2021-09-24 17:06:00.321946 : Finish Loading dataset train
2021-09-24 17:06:00.365627 : Data Shuffle
2021-09-24 17:06:00.410870 : Start Shuffling
2021-09-24 17:06:01.761749 : Finish Shuffling
2021-09-24 17:06:01.863383 : Generate Batch
2021-09-24 17:06:02.255785 : Building dataset valid from orignial text documents
2021-09-24 17:06:11.067664 : Finish Loading dataset valid
2021-09-24 17:06:11.109716 : Data Shuffle
2021-09-24 17:06:11.146050 : Start Shuffling
2021-09-24 17:06:11.242665 : Finish Shuffling
2021-09-24 17:06:11.274362 : Generate Batch
2021-09-24 17:06:11.340815 : There are 928 batches per epoch
2021-09-24 17:06:11.372099 : Batch Shuffled
2021-09-24 17:06:17.530226 : Epoch  1, Batch      1, Loss  1.912180, Average Loss  1.912180, Time  0.655853
2021-09-24 17:06:23.483237 : Epoch  1, Batch      2, Loss  1.903382, Average Loss  1.907781, Time  0.452379
2021-09-24 17:06:29.435833 : Epoch  1, Batch      3, Loss  1.901606, Average Loss  1.905723, Time  0.454178
2021-09-24 17:06:35.383676 : Epoch  1, Batch      4, Loss  1.909583, Average Loss  1.906688, Time  0.445325
2021-09-24 17:06:41.332558 : Epoch  1, Batch      5, Loss  1.894943, Average Loss  1.904339, Time  0.447598
2021-09-24 17:06:47.313931 : Epoch  1, Batch      6, Loss  1.907425, Average Loss  1.904853, Time  0.445173
2021-09-24 17:06:53.284732 : Epoch  1, Batch      7, Loss  1.885463, Average Loss  1.902083, Time  0.445875
2021-09-24 17:06:59.269240 : Epoch  1, Batch      8, Loss  1.885278, Average Loss  1.899983, Time  0.447343
2021-09-24 17:07:05.230175 : Epoch  1, Batch      9, Loss  1.870950, Average Loss  1.896757, Time  0.444790
2021-09-24 17:07:11.214549 : Epoch  1, Batch     10, Loss  1.852823, Average Loss  1.892363, Time  0.457737
2021-09-24 17:07:17.189854 : Epoch  1, Batch     11, Loss  1.847430, Average Loss  1.888279, Time  0.449529
2021-09-24 17:07:23.157011 : Epoch  1, Batch     12, Loss  1.833764, Average Loss  1.883736, Time  0.446171
2021-09-24 17:07:29.126931 : Epoch  1, Batch     13, Loss  1.829677, Average Loss  1.879577, Time  0.445386
2021-09-24 17:07:35.113829 : Epoch  1, Batch     14, Loss  1.810638, Average Loss  1.874653, Time  0.445544
2021-09-24 17:07:41.077774 : Epoch  1, Batch     15, Loss  1.807364, Average Loss  1.870167, Time  0.448655
2021-09-24 17:07:47.048018 : Epoch  1, Batch     16, Loss  1.796306, Average Loss  1.865551, Time  0.447387
2021-09-24 17:07:53.012749 : Epoch  1, Batch     17, Loss  1.780179, Average Loss  1.860529, Time  0.458052
2021-09-24 17:07:58.985421 : Epoch  1, Batch     18, Loss  1.761520, Average Loss  1.855028, Time  0.446840
2021-09-24 17:08:04.964472 : Epoch  1, Batch     19, Loss  1.757136, Average Loss  1.849876, Time  0.445171
2021-09-24 17:08:10.933377 : Epoch  1, Batch     20, Loss  1.747724, Average Loss  1.844769, Time  0.444546
2021-09-24 17:08:16.912506 : Epoch  1, Batch     21, Loss  1.741384, Average Loss  1.839845, Time  0.447002
2021-09-24 17:08:22.890312 : Epoch  1, Batch     22, Loss  1.735533, Average Loss  1.835104, Time  0.445397
2021-09-24 17:08:28.860859 : Epoch  1, Batch     23, Loss  1.722099, Average Loss  1.830191, Time  0.448503
2021-09-24 17:08:34.854599 : Epoch  1, Batch     24, Loss  1.725426, Average Loss  1.825826, Time  0.444709
2021-09-24 17:08:40.828661 : Epoch  1, Batch     25, Loss  1.705631, Average Loss  1.821018, Time  0.455189
2021-09-24 17:08:46.809754 : Epoch  1, Batch     26, Loss  1.703940, Average Loss  1.816515, Time  0.447279
2021-09-24 17:08:52.781871 : Epoch  1, Batch     27, Loss  1.690187, Average Loss  1.811836, Time  0.445244
2021-09-24 17:08:58.748470 : Epoch  1, Batch     28, Loss  1.701397, Average Loss  1.807892, Time  0.445501
2021-09-24 17:09:04.733637 : Epoch  1, Batch     29, Loss  1.695325, Average Loss  1.804010, Time  0.446151
2021-09-24 17:09:10.704630 : Epoch  1, Batch     30, Loss  1.690395, Average Loss  1.800223, Time  0.447756
2021-09-24 17:09:16.701212 : Epoch  1, Batch     31, Loss  1.691252, Average Loss  1.796708, Time  0.445183
2021-09-24 17:09:22.680804 : Epoch  1, Batch     32, Loss  1.684313, Average Loss  1.793195, Time  0.447269
2021-09-24 17:09:28.649804 : Epoch  1, Batch     33, Loss  1.686536, Average Loss  1.789963, Time  0.452820
2021-09-24 17:09:34.615825 : Epoch  1, Batch     34, Loss  1.686925, Average Loss  1.786933, Time  0.445490
2021-09-24 17:09:40.610588 : Epoch  1, Batch     35, Loss  1.690911, Average Loss  1.784189, Time  0.447538
2021-09-24 17:09:46.608567 : Epoch  1, Batch     36, Loss  1.685933, Average Loss  1.781460, Time  0.447395
2021-09-24 17:09:52.589880 : Epoch  1, Batch     37, Loss  1.675961, Average Loss  1.778609, Time  0.446350
2021-09-24 17:09:58.586843 : Epoch  1, Batch     38, Loss  1.676382, Average Loss  1.775918, Time  0.446338
2021-09-24 17:10:04.555713 : Epoch  1, Batch     39, Loss  1.669250, Average Loss  1.773183, Time  0.445335
2021-09-24 17:10:10.548429 : Epoch  1, Batch     40, Loss  1.669557, Average Loss  1.770593, Time  0.449287
2021-09-24 17:10:16.556549 : Epoch  1, Batch     41, Loss  1.671592, Average Loss  1.768178, Time  0.458775
2021-09-24 17:10:22.541875 : Epoch  1, Batch     42, Loss  1.667506, Average Loss  1.765781, Time  0.446264
2021-09-24 17:10:28.527310 : Epoch  1, Batch     43, Loss  1.676237, Average Loss  1.763699, Time  0.444391
2021-09-24 17:10:34.504345 : Epoch  1, Batch     44, Loss  1.663402, Average Loss  1.761419, Time  0.444537
2021-09-24 17:10:40.475090 : Epoch  1, Batch     45, Loss  1.665409, Average Loss  1.759286, Time  0.445024
2021-09-24 17:10:46.373448 : Epoch  1, Batch     46, Loss  1.661713, Average Loss  1.757165, Time  0.445448
2021-09-24 17:10:52.047040 : Epoch  1, Batch     47, Loss  1.663083, Average Loss  1.755163, Time  0.442382
2021-09-24 17:10:57.764072 : Epoch  1, Batch     48, Loss  1.671293, Average Loss  1.753416, Time  0.460139
2021-09-24 17:11:03.469415 : Epoch  1, Batch     49, Loss  1.669434, Average Loss  1.751702, Time  0.442698
2021-09-24 17:11:09.135748 : Epoch  1, Batch     50, Loss  1.668221, Average Loss  1.750032, Time  0.443260
2021-09-24 17:11:14.798337 : Epoch  1, Batch     51, Loss  1.673926, Average Loss  1.748540, Time  0.442109
2021-09-24 17:11:20.434218 : Epoch  1, Batch     52, Loss  1.667699, Average Loss  1.746985, Time  0.443146
2021-09-24 17:11:26.087213 : Epoch  1, Batch     53, Loss  1.668652, Average Loss  1.745507, Time  0.442695
2021-09-24 17:11:31.754558 : Epoch  1, Batch     54, Loss  1.650995, Average Loss  1.743757, Time  0.442772
2021-09-24 17:11:37.424972 : Epoch  1, Batch     55, Loss  1.666971, Average Loss  1.742361, Time  0.444435
2021-09-24 17:11:43.059702 : Epoch  1, Batch     56, Loss  1.660223, Average Loss  1.740894, Time  0.444226
2021-09-24 17:11:48.706436 : Epoch  1, Batch     57, Loss  1.657185, Average Loss  1.739425, Time  0.450615
2021-09-24 17:11:54.360973 : Epoch  1, Batch     58, Loss  1.655270, Average Loss  1.737975, Time  0.443861
2021-09-24 17:12:00.038981 : Epoch  1, Batch     59, Loss  1.657489, Average Loss  1.736610, Time  0.443606
2021-09-24 17:12:05.701320 : Epoch  1, Batch     60, Loss  1.654324, Average Loss  1.735239, Time  0.443304
2021-09-24 17:12:11.338774 : Epoch  1, Batch     61, Loss  1.657961, Average Loss  1.733972, Time  0.443024
2021-09-24 17:12:16.972182 : Epoch  1, Batch     62, Loss  1.661019, Average Loss  1.732795, Time  0.443225
2021-09-24 17:12:22.605354 : Epoch  1, Batch     63, Loss  1.658575, Average Loss  1.731617, Time  0.444070
2021-09-24 17:12:28.113779 : Epoch  1, Batch     64, Loss  1.648378, Average Loss  1.730317, Time  0.440765
2021-09-24 17:12:33.813219 : Epoch  1, Batch     65, Loss  1.653078, Average Loss  1.729128, Time  0.453750
2021-09-24 17:12:39.425142 : Epoch  1, Batch     66, Loss  1.653780, Average Loss  1.727987, Time  0.443518
2021-09-24 17:12:44.958325 : Epoch  1, Batch     67, Loss  1.660799, Average Loss  1.726984, Time  0.445360
2021-09-24 17:12:50.490694 : Epoch  1, Batch     68, Loss  1.649992, Average Loss  1.725852, Time  0.442189
2021-09-24 17:12:56.005416 : Epoch  1, Batch     69, Loss  1.652170, Average Loss  1.724784, Time  0.446556
2021-09-24 17:13:01.562567 : Epoch  1, Batch     70, Loss  1.653087, Average Loss  1.723760, Time  0.443267
2021-09-24 17:13:07.180761 : Epoch  1, Batch     71, Loss  1.645808, Average Loss  1.722662, Time  0.444852
2021-09-24 17:13:12.810787 : Epoch  1, Batch     72, Loss  1.651923, Average Loss  1.721679, Time  0.442536
2021-09-24 17:13:18.441427 : Epoch  1, Batch     73, Loss  1.645291, Average Loss  1.720633, Time  0.450210
2021-09-24 17:13:24.083409 : Epoch  1, Batch     74, Loss  1.658818, Average Loss  1.719797, Time  0.442373
2021-09-24 17:13:29.737067 : Epoch  1, Batch     75, Loss  1.651533, Average Loss  1.718887, Time  0.442370
2021-09-24 17:13:35.359699 : Epoch  1, Batch     76, Loss  1.652092, Average Loss  1.718008, Time  0.443077
2021-09-24 17:13:41.029750 : Epoch  1, Batch     77, Loss  1.647191, Average Loss  1.717089, Time  0.440603
2021-09-24 17:13:46.694398 : Epoch  1, Batch     78, Loss  1.646127, Average Loss  1.716179, Time  0.443390
2021-09-24 17:13:52.289786 : Epoch  1, Batch     79, Loss  1.642237, Average Loss  1.715243, Time  0.443568
2021-09-24 17:13:57.954993 : Epoch  1, Batch     80, Loss  1.641638, Average Loss  1.714323, Time  0.443659
2021-09-24 17:14:03.602862 : Epoch  1, Batch     81, Loss  1.633321, Average Loss  1.713323, Time  0.458974
2021-09-24 17:14:09.239390 : Epoch  1, Batch     82, Loss  1.631339, Average Loss  1.712323, Time  0.443499
2021-09-24 17:14:14.895003 : Epoch  1, Batch     83, Loss  1.629313, Average Loss  1.711323, Time  0.441866
2021-09-24 17:14:20.558041 : Epoch  1, Batch     84, Loss  1.640367, Average Loss  1.710478, Time  0.442796
2021-09-24 17:14:26.213673 : Epoch  1, Batch     85, Loss  1.620989, Average Loss  1.709425, Time  0.441901
2021-09-24 17:14:31.870789 : Epoch  1, Batch     86, Loss  1.621845, Average Loss  1.708407, Time  0.444455
2021-09-24 17:14:37.571023 : Epoch  1, Batch     87, Loss  1.623033, Average Loss  1.707426, Time  0.444856
2021-09-24 17:14:43.229814 : Epoch  1, Batch     88, Loss  1.619427, Average Loss  1.706426, Time  0.441432
2021-09-24 17:14:48.742637 : Epoch  1, Batch     89, Loss  1.607053, Average Loss  1.705309, Time  0.458323
2021-09-24 17:14:54.326426 : Epoch  1, Batch     90, Loss  1.591288, Average Loss  1.704042, Time  0.442835
2021-09-24 17:14:59.859330 : Epoch  1, Batch     91, Loss  1.598700, Average Loss  1.702885, Time  0.440891
2021-09-24 17:15:05.362906 : Epoch  1, Batch     92, Loss  1.589115, Average Loss  1.701648, Time  0.440864
2021-09-24 17:15:10.923537 : Epoch  1, Batch     93, Loss  1.570761, Average Loss  1.700241, Time  0.443054
2021-09-24 17:15:16.653569 : Epoch  1, Batch     94, Loss  1.558426, Average Loss  1.698732, Time  0.442691
2021-09-24 17:15:22.366777 : Epoch  1, Batch     95, Loss  1.570682, Average Loss  1.697384, Time  0.443256
2021-09-24 17:15:28.031670 : Epoch  1, Batch     96, Loss  1.544670, Average Loss  1.695793, Time  0.442294
2021-09-24 17:15:33.785617 : Epoch  1, Batch     97, Loss  1.551313, Average Loss  1.694304, Time  0.453048
2021-09-24 17:15:39.510368 : Epoch  1, Batch     98, Loss  1.543202, Average Loss  1.692762, Time  0.443365
2021-09-24 17:15:45.271392 : Epoch  1, Batch     99, Loss  1.534022, Average Loss  1.691159, Time  0.446787
2021-09-24 17:15:51.016721 : Epoch  1, Batch    100, Loss  1.533144, Average Loss  1.689578, Time  0.444951
2021-09-24 17:20:22.219487 : CheckPoint: Validation Loss  0.00026461, Best Loss  0.00026461
2021-09-24 17:20:22.256973 : Best Model Updated
2021-09-24 17:20:28.845954 : Epoch  1, Batch    101, Loss  1.524393, Average Loss  1.687943, Time  0.445636
2021-09-24 17:20:34.531188 : Epoch  1, Batch    102, Loss  1.520346, Average Loss  1.686300, Time  0.442857
2021-09-24 17:20:40.250008 : Epoch  1, Batch    103, Loss  1.535968, Average Loss  1.684840, Time  0.442758
2021-09-24 17:20:46.020525 : Epoch  1, Batch    104, Loss  1.527644, Average Loss  1.683329, Time  0.443944
2021-09-24 17:20:51.712580 : Epoch  1, Batch    105, Loss  1.519074, Average Loss  1.681764, Time  0.443589
2021-09-24 17:20:57.371723 : Epoch  1, Batch    106, Loss  1.501814, Average Loss  1.680067, Time  0.444609
2021-09-24 17:21:03.072814 : Epoch  1, Batch    107, Loss  1.500595, Average Loss  1.678389, Time  0.460564
2021-09-24 17:21:08.808418 : Epoch  1, Batch    108, Loss  1.489595, Average Loss  1.676641, Time  0.443653
2021-09-24 17:21:14.564865 : Epoch  1, Batch    109, Loss  1.455243, Average Loss  1.674610, Time  0.443976
2021-09-24 17:21:20.360765 : Epoch  1, Batch    110, Loss  1.447587, Average Loss  1.672546, Time  0.444625
2021-09-24 17:21:26.033075 : Epoch  1, Batch    111, Loss  1.423753, Average Loss  1.670305, Time  0.446411
2021-09-24 17:21:31.760038 : Epoch  1, Batch    112, Loss  1.414155, Average Loss  1.668018, Time  0.445038
2021-09-24 17:21:37.446376 : Epoch  1, Batch    113, Loss  1.423831, Average Loss  1.665857, Time  0.443285
2021-09-24 17:21:43.112027 : Epoch  1, Batch    114, Loss  1.393076, Average Loss  1.663464, Time  0.442492
2021-09-24 17:21:48.860807 : Epoch  1, Batch    115, Loss  1.406880, Average Loss  1.661233, Time  0.462099
2021-09-24 17:21:54.698801 : Epoch  1, Batch    116, Loss  1.386702, Average Loss  1.658866, Time  0.445711
2021-09-24 17:22:00.461052 : Epoch  1, Batch    117, Loss  1.379353, Average Loss  1.656477, Time  0.443497
2021-09-24 17:22:06.293109 : Epoch  1, Batch    118, Loss  1.375222, Average Loss  1.654094, Time  0.442189
2021-09-24 17:22:12.086025 : Epoch  1, Batch    119, Loss  1.365431, Average Loss  1.651668, Time  0.442701
2021-09-24 17:22:17.798294 : Epoch  1, Batch    120, Loss  1.358923, Average Loss  1.649229, Time  0.443770
2021-09-24 17:22:23.508540 : Epoch  1, Batch    121, Loss  1.351115, Average Loss  1.646765, Time  0.443391
2021-09-24 17:22:29.253251 : Epoch  1, Batch    122, Loss  1.354493, Average Loss  1.644369, Time  0.444449
2021-09-24 17:22:34.991016 : Epoch  1, Batch    123, Loss  1.349544, Average Loss  1.641972, Time  0.458709
2021-09-24 17:22:40.755955 : Epoch  1, Batch    124, Loss  1.351385, Average Loss  1.639629, Time  0.442802
2021-09-24 17:22:46.389297 : Epoch  1, Batch    125, Loss  1.345274, Average Loss  1.637274, Time  0.443763
2021-09-24 17:22:52.127565 : Epoch  1, Batch    126, Loss  1.335218, Average Loss  1.634877, Time  0.443513
2021-09-24 17:22:57.799450 : Epoch  1, Batch    127, Loss  1.334936, Average Loss  1.632515, Time  0.443409
2021-09-24 17:23:03.476716 : Epoch  1, Batch    128, Loss  1.340846, Average Loss  1.630236, Time  0.441288
2021-09-24 17:23:09.173032 : Epoch  1, Batch    129, Loss  1.326917, Average Loss  1.627885, Time  0.441281
2021-09-24 17:23:14.902075 : Epoch  1, Batch    130, Loss  1.325158, Average Loss  1.625556, Time  0.442680
2021-09-24 17:23:20.620609 : Epoch  1, Batch    131, Loss  1.310904, Average Loss  1.623154, Time  0.458672
2021-09-24 17:23:26.385971 : Epoch  1, Batch    132, Loss  1.306735, Average Loss  1.620757, Time  0.445301
2021-09-24 17:23:32.139331 : Epoch  1, Batch    133, Loss  1.306924, Average Loss  1.618398, Time  0.445063
2021-09-24 17:23:37.865480 : Epoch  1, Batch    134, Loss  1.294278, Average Loss  1.615979, Time  0.445250
2021-09-24 17:23:43.666286 : Epoch  1, Batch    135, Loss  1.285634, Average Loss  1.613532, Time  0.444606
2021-09-24 17:23:49.365530 : Epoch  1, Batch    136, Loss  1.297228, Average Loss  1.611206, Time  0.442850
2021-09-24 17:23:55.087561 : Epoch  1, Batch    137, Loss  1.298024, Average Loss  1.608920, Time  0.444771
2021-09-24 17:24:00.789268 : Epoch  1, Batch    138, Loss  1.276631, Average Loss  1.606512, Time  0.442997
2021-09-24 17:24:06.541510 : Epoch  1, Batch    139, Loss  1.271185, Average Loss  1.604100, Time  0.452126
2021-09-24 17:24:12.301096 : Epoch  1, Batch    140, Loss  1.271024, Average Loss  1.601721, Time  0.442603
2021-09-24 17:24:18.004618 : Epoch  1, Batch    141, Loss  1.260954, Average Loss  1.599304, Time  0.443264
2021-09-24 17:24:23.810781 : Epoch  1, Batch    142, Loss  1.255320, Average Loss  1.596881, Time  0.444834
2021-09-24 17:24:29.451151 : Epoch  1, Batch    143, Loss  1.249072, Average Loss  1.594449, Time  0.442370
2021-09-24 17:24:35.192303 : Epoch  1, Batch    144, Loss  1.250981, Average Loss  1.592064, Time  0.445406
2021-09-24 17:24:40.840513 : Epoch  1, Batch    145, Loss  1.227702, Average Loss  1.589551, Time  0.442479
2021-09-24 17:24:46.670815 : Epoch  1, Batch    146, Loss  1.220692, Average Loss  1.587025, Time  0.442846
2021-09-24 17:24:52.533271 : Epoch  1, Batch    147, Loss  1.224455, Average Loss  1.584558, Time  0.460912
2021-09-24 17:24:58.338390 : Epoch  1, Batch    148, Loss  1.226717, Average Loss  1.582140, Time  0.442689
2021-09-24 17:25:04.118965 : Epoch  1, Batch    149, Loss  1.214166, Average Loss  1.579671, Time  0.441536
2021-09-24 17:25:09.910712 : Epoch  1, Batch    150, Loss  1.206716, Average Loss  1.577184, Time  0.445705
2021-09-24 17:25:15.600530 : Epoch  1, Batch    151, Loss  1.214133, Average Loss  1.574780, Time  0.442500
2021-09-24 17:25:21.363373 : Epoch  1, Batch    152, Loss  1.204505, Average Loss  1.572344, Time  0.444607
2021-09-24 17:25:27.003446 : Epoch  1, Batch    153, Loss  1.193375, Average Loss  1.569867, Time  0.442288
2021-09-24 17:25:32.706430 : Epoch  1, Batch    154, Loss  1.196146, Average Loss  1.567440, Time  0.442717
2021-09-24 17:25:38.460506 : Epoch  1, Batch    155, Loss  1.170240, Average Loss  1.564878, Time  0.451648
2021-09-24 17:25:44.225256 : Epoch  1, Batch    156, Loss  1.186109, Average Loss  1.562450, Time  0.444247
2021-09-24 17:25:49.997848 : Epoch  1, Batch    157, Loss  1.177567, Average Loss  1.559998, Time  0.443990
2021-09-24 17:25:55.751792 : Epoch  1, Batch    158, Loss  1.175157, Average Loss  1.557563, Time  0.443944
2021-09-24 17:26:01.509042 : Epoch  1, Batch    159, Loss  1.169671, Average Loss  1.555123, Time  0.443160
2021-09-24 17:26:07.210402 : Epoch  1, Batch    160, Loss  1.153957, Average Loss  1.552616, Time  0.443933
2021-09-24 17:26:12.933410 : Epoch  1, Batch    161, Loss  1.155306, Average Loss  1.550148, Time  0.444196
2021-09-24 17:26:18.670251 : Epoch  1, Batch    162, Loss  1.143825, Average Loss  1.547640, Time  0.443537
2021-09-24 17:26:24.391973 : Epoch  1, Batch    163, Loss  1.140907, Average Loss  1.545144, Time  0.451511
2021-09-24 17:26:30.116196 : Epoch  1, Batch    164, Loss  1.128003, Average Loss  1.542601, Time  0.442867
2021-09-24 17:26:35.839494 : Epoch  1, Batch    165, Loss  1.138986, Average Loss  1.540155, Time  0.443615
2021-09-24 17:26:41.574170 : Epoch  1, Batch    166, Loss  1.128909, Average Loss  1.537677, Time  0.442632
2021-09-24 17:26:47.263829 : Epoch  1, Batch    167, Loss  1.121794, Average Loss  1.535187, Time  0.442915
2021-09-24 17:26:52.963704 : Epoch  1, Batch    168, Loss  1.126609, Average Loss  1.532755, Time  0.444006
2021-09-24 17:26:58.757863 : Epoch  1, Batch    169, Loss  1.123589, Average Loss  1.530334, Time  0.442359
2021-09-24 17:27:04.484889 : Epoch  1, Batch    170, Loss  1.114683, Average Loss  1.527889, Time  0.442600
2021-09-24 17:27:10.202730 : Epoch  1, Batch    171, Loss  1.112383, Average Loss  1.525459, Time  0.449770
2021-09-24 17:27:15.927132 : Epoch  1, Batch    172, Loss  1.082761, Average Loss  1.522885, Time  0.443558
2021-09-24 17:27:21.786912 : Epoch  1, Batch    173, Loss  1.086224, Average Loss  1.520361, Time  0.443632
2021-09-24 17:27:27.530993 : Epoch  1, Batch    174, Loss  1.064512, Average Loss  1.517741, Time  0.443237
2021-09-24 17:27:33.346153 : Epoch  1, Batch    175, Loss  1.096026, Average Loss  1.515332, Time  0.444076
2021-09-24 17:27:39.077240 : Epoch  1, Batch    176, Loss  1.099244, Average Loss  1.512967, Time  0.442293
2021-09-24 17:27:44.843473 : Epoch  1, Batch    177, Loss  1.069275, Average Loss  1.510461, Time  0.442832
2021-09-24 17:27:50.563366 : Epoch  1, Batch    178, Loss  1.080923, Average Loss  1.508048, Time  0.444061
2021-09-24 17:27:56.307947 : Epoch  1, Batch    179, Loss  1.081071, Average Loss  1.505662, Time  0.451023
2021-09-24 17:28:01.991174 : Epoch  1, Batch    180, Loss  1.052589, Average Loss  1.503145, Time  0.443024
2021-09-24 17:28:07.689671 : Epoch  1, Batch    181, Loss  1.057865, Average Loss  1.500685, Time  0.441693
2021-09-24 17:28:13.321409 : Epoch  1, Batch    182, Loss  1.063078, Average Loss  1.498281, Time  0.442689
2021-09-24 17:28:18.978833 : Epoch  1, Batch    183, Loss  1.056953, Average Loss  1.495869, Time  0.444860
2021-09-24 17:28:24.714547 : Epoch  1, Batch    184, Loss  1.065837, Average Loss  1.493532, Time  0.442586
2021-09-24 17:28:30.385227 : Epoch  1, Batch    185, Loss  1.040547, Average Loss  1.491083, Time  0.443675
2021-09-24 17:28:36.101937 : Epoch  1, Batch    186, Loss  1.043241, Average Loss  1.488676, Time  0.443188
2021-09-24 17:28:41.798746 : Epoch  1, Batch    187, Loss  1.033930, Average Loss  1.486244, Time  0.454793
2021-09-24 17:28:47.558163 : Epoch  1, Batch    188, Loss  1.032879, Average Loss  1.483832, Time  0.444662
2021-09-24 17:28:53.299570 : Epoch  1, Batch    189, Loss  1.037495, Average Loss  1.481471, Time  0.443512
2021-09-24 17:28:59.002843 : Epoch  1, Batch    190, Loss  1.022732, Average Loss  1.479056, Time  0.442162
2021-09-24 17:29:04.727862 : Epoch  1, Batch    191, Loss  1.028838, Average Loss  1.476699, Time  0.443830
2021-09-24 17:29:10.475574 : Epoch  1, Batch    192, Loss  1.016889, Average Loss  1.474304, Time  0.443254
2021-09-24 17:29:16.200888 : Epoch  1, Batch    193, Loss  1.024198, Average Loss  1.471972, Time  0.445028
2021-09-24 17:29:21.897669 : Epoch  1, Batch    194, Loss  1.012482, Average Loss  1.469604, Time  0.443545
2021-09-24 17:29:27.665711 : Epoch  1, Batch    195, Loss  0.996655, Average Loss  1.467178, Time  0.458173
2021-09-24 17:29:33.222086 : Epoch  1, Batch    196, Loss  1.008944, Average Loss  1.464840, Time  0.442204
2021-09-24 17:29:38.793850 : Epoch  1, Batch    197, Loss  1.006469, Average Loss  1.462514, Time  0.441817
2021-09-24 17:29:44.519227 : Epoch  1, Batch    198, Loss  1.007038, Average Loss  1.460213, Time  0.443982
2021-09-24 17:29:50.292823 : Epoch  1, Batch    199, Loss  1.010800, Average Loss  1.457955, Time  0.443801
2021-09-24 17:29:55.982698 : Epoch  1, Batch    200, Loss  1.001753, Average Loss  1.455674, Time  0.442194
2021-09-24 17:34:26.476453 : CheckPoint: Validation Loss  0.00016463, Best Loss  0.00016463
2021-09-24 17:34:26.508538 : Best Model Updated
2021-09-24 17:34:32.921442 : Epoch  1, Batch    201, Loss  0.988888, Average Loss  1.451057, Time  0.446335
2021-09-24 17:34:38.658337 : Epoch  1, Batch    202, Loss  0.980202, Average Loss  1.446441, Time  0.442147
2021-09-24 17:34:44.529185 : Epoch  1, Batch    203, Loss  0.996281, Average Loss  1.441915, Time  0.444075
2021-09-24 17:34:50.335151 : Epoch  1, Batch    204, Loss  0.967502, Average Loss  1.437204, Time  0.443284
2021-09-24 17:34:55.961073 : Epoch  1, Batch    205, Loss  0.968804, Average Loss  1.432574, Time  0.444999
2021-09-24 17:35:01.555089 : Epoch  1, Batch    206, Loss  0.963230, Average Loss  1.427853, Time  0.456206
2021-09-24 17:35:07.163787 : Epoch  1, Batch    207, Loss  0.969332, Average Loss  1.423272, Time  0.443202
2021-09-24 17:35:12.834968 : Epoch  1, Batch    208, Loss  0.989783, Average Loss  1.418795, Time  0.442275
2021-09-24 17:35:18.399715 : Epoch  1, Batch    209, Loss  0.952417, Average Loss  1.414202, Time  0.442173
2021-09-24 17:35:24.162235 : Epoch  1, Batch    210, Loss  0.975295, Average Loss  1.409814, Time  0.446930
2021-09-24 17:35:30.048767 : Epoch  1, Batch    211, Loss  0.963705, Average Loss  1.405396, Time  0.444308
2021-09-24 17:35:35.805723 : Epoch  1, Batch    212, Loss  0.976269, Average Loss  1.401108, Time  0.444507
2021-09-24 17:35:41.481440 : Epoch  1, Batch    213, Loss  0.969043, Average Loss  1.396805, Time  0.442097
2021-09-24 17:35:47.264210 : Epoch  1, Batch    214, Loss  0.950356, Average Loss  1.392504, Time  0.449493
2021-09-24 17:35:53.024110 : Epoch  1, Batch    215, Loss  0.955076, Average Loss  1.388242, Time  0.442613
2021-09-24 17:35:58.735749 : Epoch  1, Batch    216, Loss  0.956265, Average Loss  1.384042, Time  0.443846
2021-09-24 17:36:04.369532 : Epoch  1, Batch    217, Loss  0.936883, Average Loss  1.379825, Time  0.444519
2021-09-24 17:36:10.192037 : Epoch  1, Batch    218, Loss  0.959095, Average Loss  1.375813, Time  0.445764
2021-09-24 17:36:15.971326 : Epoch  1, Batch    219, Loss  0.939872, Average Loss  1.371727, Time  0.446280
2021-09-24 17:36:21.726319 : Epoch  1, Batch    220, Loss  0.974619, Average Loss  1.367861, Time  0.444268
2021-09-24 17:36:27.559229 : Epoch  1, Batch    221, Loss  0.952082, Average Loss  1.363915, Time  0.445396
2021-09-24 17:36:33.224845 : Epoch  1, Batch    222, Loss  0.960433, Average Loss  1.360039, Time  0.449239
2021-09-24 17:36:38.865451 : Epoch  1, Batch    223, Loss  0.946112, Average Loss  1.356160, Time  0.443522
2021-09-24 17:36:44.811327 : Epoch  1, Batch    224, Loss  0.957396, Average Loss  1.352319, Time  0.444623
2021-09-24 17:36:50.754928 : Epoch  1, Batch    225, Loss  0.950765, Average Loss  1.348545, Time  0.443196
2021-09-24 17:36:56.684836 : Epoch  1, Batch    226, Loss  0.954927, Average Loss  1.344800, Time  0.443100
2021-09-24 17:37:02.610867 : Epoch  1, Batch    227, Loss  0.948163, Average Loss  1.341090, Time  0.442807
2021-09-24 17:37:08.537668 : Epoch  1, Batch    228, Loss  0.953009, Average Loss  1.337348, Time  0.442858
2021-09-24 17:37:14.459520 : Epoch  1, Batch    229, Loss  0.946762, Average Loss  1.333605, Time  0.443048
2021-09-24 17:37:20.290026 : Epoch  1, Batch    230, Loss  0.943526, Average Loss  1.329871, Time  0.455329
2021-09-24 17:37:25.908732 : Epoch  1, Batch    231, Loss  0.952131, Average Loss  1.326175, Time  0.443177
2021-09-24 17:37:31.370639 : Epoch  1, Batch    232, Loss  0.946200, Average Loss  1.322485, Time  0.441230
2021-09-24 17:37:36.826780 : Epoch  1, Batch    233, Loss  0.952420, Average Loss  1.318814, Time  0.440875
2021-09-24 17:37:42.306814 : Epoch  1, Batch    234, Loss  0.956783, Average Loss  1.315163, Time  0.441577
2021-09-24 17:37:47.875798 : Epoch  1, Batch    235, Loss  0.939836, Average Loss  1.311408, Time  0.440918
2021-09-24 17:37:53.541509 : Epoch  1, Batch    236, Loss  0.930862, Average Loss  1.307633, Time  0.442645
2021-09-24 17:37:59.210898 : Epoch  1, Batch    237, Loss  0.947868, Average Loss  1.303992, Time  0.442490
2021-09-24 17:38:04.935992 : Epoch  1, Batch    238, Loss  0.921630, Average Loss  1.300218, Time  0.450370
2021-09-24 17:38:10.583562 : Epoch  1, Batch    239, Loss  0.937038, Average Loss  1.296557, Time  0.441230
2021-09-24 17:38:16.208109 : Epoch  1, Batch    240, Loss  0.932125, Average Loss  1.292870, Time  0.443611
2021-09-24 17:38:21.898515 : Epoch  1, Batch    241, Loss  0.950554, Average Loss  1.289265, Time  0.445074
2021-09-24 17:38:27.537779 : Epoch  1, Batch    242, Loss  0.931345, Average Loss  1.285584, Time  0.444553
2021-09-24 17:38:33.133946 : Epoch  1, Batch    243, Loss  0.934835, Average Loss  1.281877, Time  0.444947
2021-09-24 17:38:39.069689 : Epoch  1, Batch    244, Loss  0.926302, Average Loss  1.278192, Time  0.445717
2021-09-24 17:38:45.007787 : Epoch  1, Batch    245, Loss  0.933346, Average Loss  1.274531, Time  0.443433
2021-09-24 17:38:50.968528 : Epoch  1, Batch    246, Loss  0.941858, Average Loss  1.270932, Time  0.459930
2021-09-24 17:38:56.906277 : Epoch  1, Batch    247, Loss  0.926307, Average Loss  1.267248, Time  0.443417
2021-09-24 17:39:02.849419 : Epoch  1, Batch    248, Loss  0.935728, Average Loss  1.263570, Time  0.443661
2021-09-24 17:39:08.791658 : Epoch  1, Batch    249, Loss  0.930828, Average Loss  1.259877, Time  0.445098
2021-09-24 17:39:14.715992 : Epoch  1, Batch    250, Loss  0.944530, Average Loss  1.256259, Time  0.443857
2021-09-24 17:39:20.661114 : Epoch  1, Batch    251, Loss  0.938317, Average Loss  1.252581, Time  0.444824
2021-09-24 17:39:26.605929 : Epoch  1, Batch    252, Loss  0.946674, Average Loss  1.248976, Time  0.445801
2021-09-24 17:39:32.543636 : Epoch  1, Batch    253, Loss  0.937247, Average Loss  1.245319, Time  0.445778
2021-09-24 17:39:38.500871 : Epoch  1, Batch    254, Loss  0.923022, Average Loss  1.241679, Time  0.458525
2021-09-24 17:39:44.457868 : Epoch  1, Batch    255, Loss  0.925031, Average Loss  1.237969, Time  0.445592
2021-09-24 17:39:50.402262 : Epoch  1, Batch    256, Loss  0.917681, Average Loss  1.234256, Time  0.443619
2021-09-24 17:39:56.411471 : Epoch  1, Batch    257, Loss  0.939244, Average Loss  1.230667, Time  0.444359
2021-09-24 17:40:02.352531 : Epoch  1, Batch    258, Loss  0.923424, Average Loss  1.227007, Time  0.445734
2021-09-24 17:40:08.360307 : Epoch  1, Batch    259, Loss  0.935837, Average Loss  1.223399, Time  0.443976
2021-09-24 17:40:14.341653 : Epoch  1, Batch    260, Loss  0.930911, Average Loss  1.219782, Time  0.443760
2021-09-24 17:40:20.349686 : Epoch  1, Batch    261, Loss  0.916596, Average Loss  1.216075, Time  0.457098
2021-09-24 17:40:26.339926 : Epoch  1, Batch    262, Loss  0.929167, Average Loss  1.212416, Time  0.448340
2021-09-24 17:40:32.313460 : Epoch  1, Batch    263, Loss  0.944895, Average Loss  1.208848, Time  0.444121
2021-09-24 17:40:38.292454 : Epoch  1, Batch    264, Loss  0.945798, Average Loss  1.205335, Time  0.445915
2021-09-24 17:40:44.274752 : Epoch  1, Batch    265, Loss  0.929231, Average Loss  1.201715, Time  0.445225
2021-09-24 17:40:50.260676 : Epoch  1, Batch    266, Loss  0.935772, Average Loss  1.198125, Time  0.443534
2021-09-24 17:40:56.246569 : Epoch  1, Batch    267, Loss  0.920462, Average Loss  1.194424, Time  0.443206
2021-09-24 17:41:02.228087 : Epoch  1, Batch    268, Loss  0.912964, Average Loss  1.190739, Time  0.444426
2021-09-24 17:41:08.229756 : Epoch  1, Batch    269, Loss  0.925434, Average Loss  1.187105, Time  0.458758
2021-09-24 17:41:14.218353 : Epoch  1, Batch    270, Loss  0.941001, Average Loss  1.183545, Time  0.447931
2021-09-24 17:41:20.225447 : Epoch  1, Batch    271, Loss  0.924832, Average Loss  1.179940, Time  0.446777
2021-09-24 17:41:26.218022 : Epoch  1, Batch    272, Loss  0.912484, Average Loss  1.176242, Time  0.449357
2021-09-24 17:41:32.179596 : Epoch  1, Batch    273, Loss  0.936866, Average Loss  1.172700, Time  0.445567
2021-09-24 17:41:38.143785 : Epoch  1, Batch    274, Loss  0.920701, Average Loss  1.169010, Time  0.445922
2021-09-24 17:41:44.132790 : Epoch  1, Batch    275, Loss  0.921297, Average Loss  1.165359, Time  0.444730
2021-09-24 17:41:50.139692 : Epoch  1, Batch    276, Loss  0.933881, Average Loss  1.161767, Time  0.459426
2021-09-24 17:41:56.092974 : Epoch  1, Batch    277, Loss  0.922444, Average Loss  1.158144, Time  0.445261
2021-09-24 17:42:02.085710 : Epoch  1, Batch    278, Loss  0.908946, Average Loss  1.154458, Time  0.444862
2021-09-24 17:42:08.069781 : Epoch  1, Batch    279, Loss  0.941521, Average Loss  1.150954, Time  0.446347
2021-09-24 17:42:14.047730 : Epoch  1, Batch    280, Loss  0.922191, Average Loss  1.147357, Time  0.448873
2021-09-24 17:42:20.054879 : Epoch  1, Batch    281, Loss  0.913074, Average Loss  1.143756, Time  0.445324
2021-09-24 17:42:26.048260 : Epoch  1, Batch    282, Loss  0.912593, Average Loss  1.140162, Time  0.448570
2021-09-24 17:42:32.033685 : Epoch  1, Batch    283, Loss  0.911384, Average Loss  1.136572, Time  0.447317
2021-09-24 17:42:38.017251 : Epoch  1, Batch    284, Loss  0.931946, Average Loss  1.133030, Time  0.453286
2021-09-24 17:42:44.011317 : Epoch  1, Batch    285, Loss  0.916957, Average Loss  1.129510, Time  0.445697
2021-09-24 17:42:49.991454 : Epoch  1, Batch    286, Loss  0.919450, Average Loss  1.125998, Time  0.444456
2021-09-24 17:42:55.968230 : Epoch  1, Batch    287, Loss  0.910796, Average Loss  1.122437, Time  0.445843
2021-09-24 17:43:01.997614 : Epoch  1, Batch    288, Loss  0.919873, Average Loss  1.118939, Time  0.446435
2021-09-24 17:43:08.003819 : Epoch  1, Batch    289, Loss  0.908848, Average Loss  1.115448, Time  0.444143
2021-09-24 17:43:14.001689 : Epoch  1, Batch    290, Loss  0.917043, Average Loss  1.112077, Time  0.446597
2021-09-24 17:43:20.001652 : Epoch  1, Batch    291, Loss  0.923687, Average Loss  1.108702, Time  0.452075
2021-09-24 17:43:25.999781 : Epoch  1, Batch    292, Loss  0.910690, Average Loss  1.105310, Time  0.452962
2021-09-24 17:43:31.989176 : Epoch  1, Batch    293, Loss  0.925848, Average Loss  1.102085, Time  0.447006
2021-09-24 17:43:37.967964 : Epoch  1, Batch    294, Loss  0.911117, Average Loss  1.098849, Time  0.444716
2021-09-24 17:43:43.952496 : Epoch  1, Batch    295, Loss  0.920341, Average Loss  1.095597, Time  0.444159
2021-09-24 17:43:49.937847 : Epoch  1, Batch    296, Loss  0.903748, Average Loss  1.092392, Time  0.446032
2021-09-24 17:43:55.914308 : Epoch  1, Batch    297, Loss  0.911626, Average Loss  1.089194, Time  0.445272
2021-09-24 17:44:01.893628 : Epoch  1, Batch    298, Loss  0.916753, Average Loss  1.086062, Time  0.445299
2021-09-24 17:44:07.886125 : Epoch  1, Batch    299, Loss  0.908406, Average Loss  1.082934, Time  0.449764
2021-09-24 17:44:13.889897 : Epoch  1, Batch    300, Loss  0.909242, Average Loss  1.079814, Time  0.460152
2021-09-24 17:48:56.920569 : CheckPoint: Validation Loss  0.00015797, Best Loss  0.00015797
2021-09-24 17:48:56.961213 : Best Model Updated
2021-09-24 17:49:03.534670 : Epoch  1, Batch    301, Loss  0.910815, Average Loss  1.076746, Time  0.445001
2021-09-24 17:49:09.468628 : Epoch  1, Batch    302, Loss  0.906864, Average Loss  1.073679, Time  0.443917
2021-09-24 17:49:15.423796 : Epoch  1, Batch    303, Loss  0.910976, Average Loss  1.070554, Time  0.451319
2021-09-24 17:49:21.354786 : Epoch  1, Batch    304, Loss  0.924737, Average Loss  1.067539, Time  0.444973
2021-09-24 17:49:27.280837 : Epoch  1, Batch    305, Loss  0.914661, Average Loss  1.064517, Time  0.443472
2021-09-24 17:49:33.228705 : Epoch  1, Batch    306, Loss  0.910252, Average Loss  1.061559, Time  0.458962
2021-09-24 17:49:39.161825 : Epoch  1, Batch    307, Loss  0.924845, Average Loss  1.058681, Time  0.445450
2021-09-24 17:49:45.097165 : Epoch  1, Batch    308, Loss  0.933337, Average Loss  1.055899, Time  0.444101
2021-09-24 17:49:51.034671 : Epoch  1, Batch    309, Loss  0.904382, Average Loss  1.053145, Time  0.448519
2021-09-24 17:49:57.002393 : Epoch  1, Batch    310, Loss  0.918163, Average Loss  1.050498, Time  0.445190
2021-09-24 17:50:02.934981 : Epoch  1, Batch    311, Loss  0.906350, Average Loss  1.047911, Time  0.445714
2021-09-24 17:50:08.865326 : Epoch  1, Batch    312, Loss  0.892390, Average Loss  1.045302, Time  0.448636
2021-09-24 17:50:14.789702 : Epoch  1, Batch    313, Loss  0.928230, Average Loss  1.042824, Time  0.444748
2021-09-24 17:50:20.736463 : Epoch  1, Batch    314, Loss  0.910228, Average Loss  1.040410, Time  0.457424
2021-09-24 17:50:26.664643 : Epoch  1, Batch    315, Loss  0.912103, Average Loss  1.037936, Time  0.444897
2021-09-24 17:50:32.589540 : Epoch  1, Batch    316, Loss  0.927153, Average Loss  1.035638, Time  0.445301
2021-09-24 17:50:38.526489 : Epoch  1, Batch    317, Loss  0.884659, Average Loss  1.033165, Time  0.445790
2021-09-24 17:50:44.467514 : Epoch  1, Batch    318, Loss  0.907832, Average Loss  1.030828, Time  0.444134
2021-09-24 17:50:50.402273 : Epoch  1, Batch    319, Loss  0.906250, Average Loss  1.028532, Time  0.446443
2021-09-24 17:50:56.322043 : Epoch  1, Batch    320, Loss  0.923039, Average Loss  1.026353, Time  0.444382
2021-09-24 17:51:02.248327 : Epoch  1, Batch    321, Loss  0.916446, Average Loss  1.024179, Time  0.446030
2021-09-24 17:51:08.190488 : Epoch  1, Batch    322, Loss  0.893549, Average Loss  1.021874, Time  0.461102
2021-09-24 17:51:14.125355 : Epoch  1, Batch    323, Loss  0.930985, Average Loss  1.019782, Time  0.448253
2021-09-24 17:51:20.053945 : Epoch  1, Batch    324, Loss  0.910129, Average Loss  1.017575, Time  0.444360
2021-09-24 17:51:25.996738 : Epoch  1, Batch    325, Loss  0.912390, Average Loss  1.015411, Time  0.444932
2021-09-24 17:51:31.938910 : Epoch  1, Batch    326, Loss  0.912140, Average Loss  1.013296, Time  0.444086
2021-09-24 17:51:37.874787 : Epoch  1, Batch    327, Loss  0.904902, Average Loss  1.011145, Time  0.445048
2021-09-24 17:51:43.826316 : Epoch  1, Batch    328, Loss  0.904079, Average Loss  1.008962, Time  0.452549
2021-09-24 17:51:49.758788 : Epoch  1, Batch    329, Loss  0.906106, Average Loss  1.006858, Time  0.446194
2021-09-24 17:51:55.694920 : Epoch  1, Batch    330, Loss  0.915573, Average Loss  1.004810, Time  0.454763
2021-09-24 17:52:01.637421 : Epoch  1, Batch    331, Loss  0.907930, Average Loss  1.002795, Time  0.445016
2021-09-24 17:52:07.591235 : Epoch  1, Batch    332, Loss  0.916521, Average Loss  1.000844, Time  0.444224
2021-09-24 17:52:13.524463 : Epoch  1, Batch    333, Loss  0.895078, Average Loss  0.998784, Time  0.447902
2021-09-24 17:52:19.452166 : Epoch  1, Batch    334, Loss  0.911688, Average Loss  0.996871, Time  0.444047
2021-09-24 17:52:25.388963 : Epoch  1, Batch    335, Loss  0.897917, Average Loss  0.994933, Time  0.445779
2021-09-24 17:52:31.330886 : Epoch  1, Batch    336, Loss  0.901198, Average Loss  0.992953, Time  0.447649
2021-09-24 17:52:37.280736 : Epoch  1, Batch    337, Loss  0.911074, Average Loss  0.991018, Time  0.445778
2021-09-24 17:52:43.237016 : Epoch  1, Batch    338, Loss  0.916640, Average Loss  0.989218, Time  0.462826
2021-09-24 17:52:49.171323 : Epoch  1, Batch    339, Loss  0.906545, Average Loss  0.987395, Time  0.443864
2021-09-24 17:52:55.114329 : Epoch  1, Batch    340, Loss  0.908938, Average Loss  0.985584, Time  0.445437
2021-09-24 17:53:01.049804 : Epoch  1, Batch    341, Loss  0.895669, Average Loss  0.983758, Time  0.443900
2021-09-24 17:53:06.989998 : Epoch  1, Batch    342, Loss  0.903457, Average Loss  0.981999, Time  0.443447
2021-09-24 17:53:12.938982 : Epoch  1, Batch    343, Loss  0.910643, Average Loss  0.980307, Time  0.445993
2021-09-24 17:53:18.885274 : Epoch  1, Batch    344, Loss  0.881143, Average Loss  0.978457, Time  0.445222
2021-09-24 17:53:24.815194 : Epoch  1, Batch    345, Loss  0.895003, Average Loss  0.976794, Time  0.444858
2021-09-24 17:53:30.755386 : Epoch  1, Batch    346, Loss  0.893275, Average Loss  0.975157, Time  0.458412
2021-09-24 17:53:36.703759 : Epoch  1, Batch    347, Loss  0.917950, Average Loss  0.973624, Time  0.444194
2021-09-24 17:53:42.647897 : Epoch  1, Batch    348, Loss  0.894378, Average Loss  0.971963, Time  0.449110
2021-09-24 17:53:48.596405 : Epoch  1, Batch    349, Loss  0.892654, Average Loss  0.970355, Time  0.453735
2021-09-24 17:53:54.510851 : Epoch  1, Batch    350, Loss  0.903874, Average Loss  0.968841, Time  0.443944
2021-09-24 17:54:00.450231 : Epoch  1, Batch    351, Loss  0.899656, Average Loss  0.967268, Time  0.444896
2021-09-24 17:54:06.396792 : Epoch  1, Batch    352, Loss  0.898641, Average Loss  0.965739, Time  0.446848
2021-09-24 17:54:12.333232 : Epoch  1, Batch    353, Loss  0.925188, Average Loss  0.964398, Time  0.445924
2021-09-24 17:54:18.282886 : Epoch  1, Batch    354, Loss  0.886234, Average Loss  0.962849, Time  0.451352
2021-09-24 17:54:24.218145 : Epoch  1, Batch    355, Loss  0.898304, Average Loss  0.961489, Time  0.443980
2021-09-24 17:54:30.155977 : Epoch  1, Batch    356, Loss  0.908962, Average Loss  0.960103, Time  0.444716
2021-09-24 17:54:36.100339 : Epoch  1, Batch    357, Loss  0.899394, Average Loss  0.958712, Time  0.446578
2021-09-24 17:54:42.045315 : Epoch  1, Batch    358, Loss  0.900026, Average Loss  0.957337, Time  0.446387
2021-09-24 17:54:47.979756 : Epoch  1, Batch    359, Loss  0.919334, Average Loss  0.956085, Time  0.445083
2021-09-24 17:54:53.919622 : Epoch  1, Batch    360, Loss  0.892235, Average Loss  0.954776, Time  0.448208
2021-09-24 17:54:59.852117 : Epoch  1, Batch    361, Loss  0.892425, Average Loss  0.953462, Time  0.443697
2021-09-24 17:55:05.801449 : Epoch  1, Batch    362, Loss  0.893278, Average Loss  0.952209, Time  0.459610
2021-09-24 17:55:11.735825 : Epoch  1, Batch    363, Loss  0.893086, Average Loss  0.950970, Time  0.447437
2021-09-24 17:55:17.688934 : Epoch  1, Batch    364, Loss  0.905434, Average Loss  0.949857, Time  0.448905
2021-09-24 17:55:23.622245 : Epoch  1, Batch    365, Loss  0.891882, Average Loss  0.948622, Time  0.444743
2021-09-24 17:55:29.561632 : Epoch  1, Batch    366, Loss  0.891155, Average Loss  0.947433, Time  0.444071
2021-09-24 17:55:35.508943 : Epoch  1, Batch    367, Loss  0.889287, Average Loss  0.946270, Time  0.450507
2021-09-24 17:55:41.445912 : Epoch  1, Batch    368, Loss  0.886898, Average Loss  0.945072, Time  0.445895
2021-09-24 17:55:47.374784 : Epoch  1, Batch    369, Loss  0.898284, Average Loss  0.943945, Time  0.445602
2021-09-24 17:55:53.321947 : Epoch  1, Batch    370, Loss  0.890347, Average Loss  0.942824, Time  0.456953
2021-09-24 17:55:59.249446 : Epoch  1, Batch    371, Loss  0.907617, Average Loss  0.941800, Time  0.444831
2021-09-24 17:56:05.188457 : Epoch  1, Batch    372, Loss  0.886304, Average Loss  0.940818, Time  0.444608
2021-09-24 17:56:11.134416 : Epoch  1, Batch    373, Loss  0.884835, Average Loss  0.939811, Time  0.450804
2021-09-24 17:56:17.073211 : Epoch  1, Batch    374, Loss  0.890353, Average Loss  0.938940, Time  0.451073
2021-09-24 17:56:23.007464 : Epoch  1, Batch    375, Loss  0.886717, Average Loss  0.937893, Time  0.445107
2021-09-24 17:56:28.929811 : Epoch  1, Batch    376, Loss  0.893502, Average Loss  0.936865, Time  0.446105
2021-09-24 17:56:34.864415 : Epoch  1, Batch    377, Loss  0.903458, Average Loss  0.936035, Time  0.448187
2021-09-24 17:56:40.826006 : Epoch  1, Batch    378, Loss  0.903980, Average Loss  0.935151, Time  0.465935
2021-09-24 17:56:46.760432 : Epoch  1, Batch    379, Loss  0.892513, Average Loss  0.934208, Time  0.448421
2021-09-24 17:56:52.699772 : Epoch  1, Batch    380, Loss  0.898371, Average Loss  0.933437, Time  0.444374
2021-09-24 17:56:58.643752 : Epoch  1, Batch    381, Loss  0.896161, Average Loss  0.932628, Time  0.448133
2021-09-24 17:57:04.588804 : Epoch  1, Batch    382, Loss  0.881009, Average Loss  0.931718, Time  0.446955
2021-09-24 17:57:10.518554 : Epoch  1, Batch    383, Loss  0.892575, Average Loss  0.930896, Time  0.444266
2021-09-24 17:57:16.437673 : Epoch  1, Batch    384, Loss  0.910867, Average Loss  0.930121, Time  0.444180
2021-09-24 17:57:22.403052 : Epoch  1, Batch    385, Loss  0.900563, Average Loss  0.929421, Time  0.446276
2021-09-24 17:57:28.352707 : Epoch  1, Batch    386, Loss  0.905786, Average Loss  0.928734, Time  0.461497
2021-09-24 17:57:34.298441 : Epoch  1, Batch    387, Loss  0.877531, Average Loss  0.927952, Time  0.444380
2021-09-24 17:57:40.260841 : Epoch  1, Batch    388, Loss  0.896789, Average Loss  0.927272, Time  0.449863
2021-09-24 17:57:46.204398 : Epoch  1, Batch    389, Loss  0.885772, Average Loss  0.926513, Time  0.445756
2021-09-24 17:57:52.147747 : Epoch  1, Batch    390, Loss  0.897898, Average Loss  0.925889, Time  0.451928
2021-09-24 17:57:58.081446 : Epoch  1, Batch    391, Loss  0.912909, Average Loss  0.925309, Time  0.444586
2021-09-24 17:58:04.011405 : Epoch  1, Batch    392, Loss  0.895051, Average Loss  0.924700, Time  0.445684
2021-09-24 17:58:09.946310 : Epoch  1, Batch    393, Loss  0.917397, Average Loss  0.924166, Time  0.443334
2021-09-24 17:58:15.885911 : Epoch  1, Batch    394, Loss  0.896196, Average Loss  0.923585, Time  0.455552
2021-09-24 17:58:21.839739 : Epoch  1, Batch    395, Loss  0.898426, Average Loss  0.923093, Time  0.448824
2021-09-24 17:58:27.796860 : Epoch  1, Batch    396, Loss  0.906377, Average Loss  0.922581, Time  0.449023
2021-09-24 17:58:33.736970 : Epoch  1, Batch    397, Loss  0.912469, Average Loss  0.922111, Time  0.448156
2021-09-24 17:58:39.658168 : Epoch  1, Batch    398, Loss  0.899785, Average Loss  0.921574, Time  0.444848
2021-09-24 17:58:45.595055 : Epoch  1, Batch    399, Loss  0.902114, Average Loss  0.921031, Time  0.444055
2021-09-24 17:58:51.537647 : Epoch  1, Batch    400, Loss  0.899067, Average Loss  0.920517, Time  0.446040
2021-09-24 18:03:34.171443 : CheckPoint: Validation Loss  0.00015130, Best Loss  0.00015130
2021-09-24 18:03:34.229675 : Best Model Updated
2021-09-24 18:03:40.810026 : Epoch  1, Batch    401, Loss  0.893268, Average Loss  0.920039, Time  0.450793
2021-09-24 18:03:46.775762 : Epoch  1, Batch    402, Loss  0.873961, Average Loss  0.919508, Time  0.445159
2021-09-24 18:03:52.718832 : Epoch  1, Batch    403, Loss  0.901047, Average Loss  0.919032, Time  0.447132
2021-09-24 18:03:58.668195 : Epoch  1, Batch    404, Loss  0.899597, Average Loss  0.918692, Time  0.444287
2021-09-24 18:04:04.618386 : Epoch  1, Batch    405, Loss  0.893311, Average Loss  0.918315, Time  0.446769
2021-09-24 18:04:10.579333 : Epoch  1, Batch    406, Loss  0.893964, Average Loss  0.917969, Time  0.446839
2021-09-24 18:04:16.523156 : Epoch  1, Batch    407, Loss  0.897715, Average Loss  0.917611, Time  0.444477
2021-09-24 18:04:22.466933 : Epoch  1, Batch    408, Loss  0.924535, Average Loss  0.917284, Time  0.460280
2021-09-24 18:04:28.422549 : Epoch  1, Batch    409, Loss  0.908660, Average Loss  0.917066, Time  0.449101
2021-09-24 18:04:34.367475 : Epoch  1, Batch    410, Loss  0.879938, Average Loss  0.916589, Time  0.444827
2021-09-24 18:04:40.327961 : Epoch  1, Batch    411, Loss  0.903677, Average Loss  0.916289, Time  0.444564
2021-09-24 18:04:46.289951 : Epoch  1, Batch    412, Loss  0.892834, Average Loss  0.915871, Time  0.445612
2021-09-24 18:04:52.255888 : Epoch  1, Batch    413, Loss  0.912075, Average Loss  0.915587, Time  0.444702
2021-09-24 18:04:58.223639 : Epoch  1, Batch    414, Loss  0.902213, Average Loss  0.915346, Time  0.445820
2021-09-24 18:05:04.181721 : Epoch  1, Batch    415, Loss  0.886369, Average Loss  0.915002, Time  0.452255
2021-09-24 18:05:10.125338 : Epoch  1, Batch    416, Loss  0.894577, Average Loss  0.914694, Time  0.443286
2021-09-24 18:05:16.064439 : Epoch  1, Batch    417, Loss  0.891390, Average Loss  0.914466, Time  0.443069
2021-09-24 18:05:22.029989 : Epoch  1, Batch    418, Loss  0.902443, Average Loss  0.914183, Time  0.451704
2021-09-24 18:05:27.995075 : Epoch  1, Batch    419, Loss  0.886873, Average Loss  0.913918, Time  0.445938
2021-09-24 18:05:33.956278 : Epoch  1, Batch    420, Loss  0.884198, Average Loss  0.913466, Time  0.448597
2021-09-24 18:05:39.928514 : Epoch  1, Batch    421, Loss  0.883913, Average Loss  0.913125, Time  0.445810
2021-09-24 18:05:45.883172 : Epoch  1, Batch    422, Loss  0.890869, Average Loss  0.912777, Time  0.447155
2021-09-24 18:05:51.836617 : Epoch  1, Batch    423, Loss  0.898689, Average Loss  0.912540, Time  0.459081
2021-09-24 18:05:57.815100 : Epoch  1, Batch    424, Loss  0.894455, Average Loss  0.912226, Time  0.450426
2021-09-24 18:06:03.773991 : Epoch  1, Batch    425, Loss  0.879464, Average Loss  0.911869, Time  0.445339
2021-09-24 18:06:09.727252 : Epoch  1, Batch    426, Loss  0.912168, Average Loss  0.911655, Time  0.444171
2021-09-24 18:06:15.693350 : Epoch  1, Batch    427, Loss  0.900787, Average Loss  0.911418, Time  0.447564
2021-09-24 18:06:21.641564 : Epoch  1, Batch    428, Loss  0.890691, Average Loss  0.911107, Time  0.445743
2021-09-24 18:06:27.596560 : Epoch  1, Batch    429, Loss  0.909232, Average Loss  0.910919, Time  0.447232
2021-09-24 18:06:33.533453 : Epoch  1, Batch    430, Loss  0.901470, Average Loss  0.910709, Time  0.447255
2021-09-24 18:06:39.514072 : Epoch  1, Batch    431, Loss  0.880620, Average Loss  0.910351, Time  0.460843
2021-09-24 18:06:45.491037 : Epoch  1, Batch    432, Loss  0.896119, Average Loss  0.910101, Time  0.449744
2021-09-24 18:06:51.463492 : Epoch  1, Batch    433, Loss  0.894908, Average Loss  0.909813, Time  0.444063
2021-09-24 18:06:57.411293 : Epoch  1, Batch    434, Loss  0.894863, Average Loss  0.909504, Time  0.444324
2021-09-24 18:07:03.363244 : Epoch  1, Batch    435, Loss  0.884735, Average Loss  0.909228, Time  0.449428
2021-09-24 18:07:09.323082 : Epoch  1, Batch    436, Loss  0.885516, Average Loss  0.909002, Time  0.444284
2021-09-24 18:07:15.290859 : Epoch  1, Batch    437, Loss  0.888311, Average Loss  0.908704, Time  0.444046
2021-09-24 18:07:21.252529 : Epoch  1, Batch    438, Loss  0.889337, Average Loss  0.908542, Time  0.460989
2021-09-24 18:07:27.209380 : Epoch  1, Batch    439, Loss  0.897587, Average Loss  0.908345, Time  0.447707
2021-09-24 18:07:33.151421 : Epoch  1, Batch    440, Loss  0.884097, Average Loss  0.908105, Time  0.444317
2021-09-24 18:07:39.125691 : Epoch  1, Batch    441, Loss  0.887479, Average Loss  0.907790, Time  0.447414
2021-09-24 18:07:45.093025 : Epoch  1, Batch    442, Loss  0.892663, Average Loss  0.907596, Time  0.444217
2021-09-24 18:07:51.058940 : Epoch  1, Batch    443, Loss  0.898572, Average Loss  0.907415, Time  0.448858
2021-09-24 18:07:57.034830 : Epoch  1, Batch    444, Loss  0.902362, Average Loss  0.907295, Time  0.449234
2021-09-24 18:08:02.991867 : Epoch  1, Batch    445, Loss  0.878694, Average Loss  0.907022, Time  0.447917
2021-09-24 18:08:08.963179 : Epoch  1, Batch    446, Loss  0.902410, Average Loss  0.906825, Time  0.455604
2021-09-24 18:08:14.932073 : Epoch  1, Batch    447, Loss  0.881675, Average Loss  0.906601, Time  0.445311
2021-09-24 18:08:20.903664 : Epoch  1, Batch    448, Loss  0.876305, Average Loss  0.906304, Time  0.447064
2021-09-24 18:08:26.852116 : Epoch  1, Batch    449, Loss  0.886898, Average Loss  0.906085, Time  0.444696
2021-09-24 18:08:32.818205 : Epoch  1, Batch    450, Loss  0.896867, Average Loss  0.905846, Time  0.448929
2021-09-24 18:08:38.778339 : Epoch  1, Batch    451, Loss  0.884177, Average Loss  0.905576, Time  0.445294
2021-09-24 18:08:44.721763 : Epoch  1, Batch    452, Loss  0.892689, Average Loss  0.905306, Time  0.446646
2021-09-24 18:08:50.671238 : Epoch  1, Batch    453, Loss  0.887430, Average Loss  0.905057, Time  0.445059
2021-09-24 18:08:56.639516 : Epoch  1, Batch    454, Loss  0.890358, Average Loss  0.904893, Time  0.458066
2021-09-24 18:09:02.597535 : Epoch  1, Batch    455, Loss  0.893494, Average Loss  0.904736, Time  0.444887
2021-09-24 18:09:08.560138 : Epoch  1, Batch    456, Loss  0.889969, Average Loss  0.904597, Time  0.443789
2021-09-24 18:09:14.509593 : Epoch  1, Batch    457, Loss  0.890419, Average Loss  0.904353, Time  0.444371
2021-09-24 18:09:20.472961 : Epoch  1, Batch    458, Loss  0.886051, Average Loss  0.904166, Time  0.444565
2021-09-24 18:09:26.412911 : Epoch  1, Batch    459, Loss  0.872453, Average Loss  0.903849, Time  0.444130
2021-09-24 18:09:32.369538 : Epoch  1, Batch    460, Loss  0.890276, Average Loss  0.903646, Time  0.447799
2021-09-24 18:09:38.343055 : Epoch  1, Batch    461, Loss  0.891924, Average Loss  0.903523, Time  0.459145
2021-09-24 18:09:44.307211 : Epoch  1, Batch    462, Loss  0.885922, Average Loss  0.903306, Time  0.447029
2021-09-24 18:09:50.256810 : Epoch  1, Batch    463, Loss  0.885270, Average Loss  0.903008, Time  0.445595
2021-09-24 18:09:56.209417 : Epoch  1, Batch    464, Loss  0.890918, Average Loss  0.902734, Time  0.446430
2021-09-24 18:10:02.157774 : Epoch  1, Batch    465, Loss  0.900271, Average Loss  0.902589, Time  0.446940
2021-09-24 18:10:08.131263 : Epoch  1, Batch    466, Loss  0.867429, Average Loss  0.902247, Time  0.449873
2021-09-24 18:10:14.074045 : Epoch  1, Batch    467, Loss  0.887214, Average Loss  0.902081, Time  0.444085
2021-09-24 18:10:20.023324 : Epoch  1, Batch    468, Loss  0.883030, Average Loss  0.901932, Time  0.447495
2021-09-24 18:10:25.981810 : Epoch  1, Batch    469, Loss  0.895800, Average Loss  0.901783, Time  0.455807
2021-09-24 18:10:31.931434 : Epoch  1, Batch    470, Loss  0.887852, Average Loss  0.901518, Time  0.445355
2021-09-24 18:10:37.889898 : Epoch  1, Batch    471, Loss  0.898206, Average Loss  0.901384, Time  0.444801
2021-09-24 18:10:43.857948 : Epoch  1, Batch    472, Loss  0.882280, Average Loss  0.901233, Time  0.446958
2021-09-24 18:10:49.814421 : Epoch  1, Batch    473, Loss  0.890884, Average Loss  0.901004, Time  0.446433
2021-09-24 18:10:55.781230 : Epoch  1, Batch    474, Loss  0.887771, Average Loss  0.900839, Time  0.445152
2021-09-24 18:11:01.724253 : Epoch  1, Batch    475, Loss  0.901242, Average Loss  0.900739, Time  0.444932
2021-09-24 18:11:07.691660 : Epoch  1, Batch    476, Loss  0.886910, Average Loss  0.900504, Time  0.446866
2021-09-24 18:11:13.649795 : Epoch  1, Batch    477, Loss  0.885193, Average Loss  0.900317, Time  0.455052
2021-09-24 18:11:19.600164 : Epoch  1, Batch    478, Loss  0.898815, Average Loss  0.900267, Time  0.445709
2021-09-24 18:11:25.558707 : Epoch  1, Batch    479, Loss  0.891838, Average Loss  0.900018, Time  0.444191
2021-09-24 18:11:31.515678 : Epoch  1, Batch    480, Loss  0.887031, Average Loss  0.899843, Time  0.444269
2021-09-24 18:11:37.462649 : Epoch  1, Batch    481, Loss  0.878919, Average Loss  0.899672, Time  0.444528
2021-09-24 18:11:43.430426 : Epoch  1, Batch    482, Loss  0.891149, Average Loss  0.899565, Time  0.448867
2021-09-24 18:11:49.400086 : Epoch  1, Batch    483, Loss  0.888897, Average Loss  0.899452, Time  0.449297
2021-09-24 18:11:55.380264 : Epoch  1, Batch    484, Loss  0.891025, Average Loss  0.899248, Time  0.456852
2021-09-24 18:12:01.330890 : Epoch  1, Batch    485, Loss  0.893139, Average Loss  0.899128, Time  0.444831
2021-09-24 18:12:07.321875 : Epoch  1, Batch    486, Loss  0.888324, Average Loss  0.898973, Time  0.446980
2021-09-24 18:12:13.335299 : Epoch  1, Batch    487, Loss  0.859749, Average Loss  0.898718, Time  0.448102
2021-09-24 18:12:19.292668 : Epoch  1, Batch    488, Loss  0.886626, Average Loss  0.898551, Time  0.444779
2021-09-24 18:12:25.280208 : Epoch  1, Batch    489, Loss  0.902165, Average Loss  0.898518, Time  0.451692
2021-09-24 18:12:31.219177 : Epoch  1, Batch    490, Loss  0.893642, Average Loss  0.898401, Time  0.444257
2021-09-24 18:12:37.174318 : Epoch  1, Batch    491, Loss  0.888399, Average Loss  0.898225, Time  0.444858
2021-09-24 18:12:43.162870 : Epoch  1, Batch    492, Loss  0.892192, Average Loss  0.898132, Time  0.462406
2021-09-24 18:12:49.122605 : Epoch  1, Batch    493, Loss  0.880354, Average Loss  0.897905, Time  0.444793
2021-09-24 18:12:55.064878 : Epoch  1, Batch    494, Loss  0.886500, Average Loss  0.897781, Time  0.443753
2021-09-24 18:13:01.016367 : Epoch  1, Batch    495, Loss  0.888266, Average Loss  0.897621, Time  0.443911
2021-09-24 18:13:06.968673 : Epoch  1, Batch    496, Loss  0.878557, Average Loss  0.897495, Time  0.444913
2021-09-24 18:13:12.938672 : Epoch  1, Batch    497, Loss  0.898637, Average Loss  0.897430, Time  0.448097
2021-09-24 18:13:18.917849 : Epoch  1, Batch    498, Loss  0.883622, Average Loss  0.897265, Time  0.446344
2021-09-24 18:13:24.881431 : Epoch  1, Batch    499, Loss  0.886910, Average Loss  0.897157, Time  0.449848
2021-09-24 18:13:30.837816 : Epoch  1, Batch    500, Loss  0.885695, Average Loss  0.897039, Time  0.456327
2021-09-24 18:18:10.715520 : CheckPoint: Validation Loss  0.00014983, Best Loss  0.00014983
2021-09-24 18:18:10.745420 : Best Model Updated
2021-09-24 18:18:17.334133 : Epoch  1, Batch    501, Loss  0.886044, Average Loss  0.896915, Time  0.447174
2021-09-24 18:18:23.287755 : Epoch  1, Batch    502, Loss  0.896467, Average Loss  0.896863, Time  0.443623
2021-09-24 18:18:29.255883 : Epoch  1, Batch    503, Loss  0.876706, Average Loss  0.896692, Time  0.448578
2021-09-24 18:18:35.181564 : Epoch  1, Batch    504, Loss  0.890220, Average Loss  0.896520, Time  0.444016
2021-09-24 18:18:41.127079 : Epoch  1, Batch    505, Loss  0.886895, Average Loss  0.896381, Time  0.444388
2021-09-24 18:18:47.085040 : Epoch  1, Batch    506, Loss  0.878027, Average Loss  0.896220, Time  0.444027
2021-09-24 18:18:53.039784 : Epoch  1, Batch    507, Loss  0.883691, Average Loss  0.896014, Time  0.457928
2021-09-24 18:18:59.011923 : Epoch  1, Batch    508, Loss  0.882380, Average Loss  0.895759, Time  0.445178
2021-09-24 18:19:04.969900 : Epoch  1, Batch    509, Loss  0.886945, Average Loss  0.895672, Time  0.448647
2021-09-24 18:19:10.929297 : Epoch  1, Batch    510, Loss  0.895506, Average Loss  0.895559, Time  0.447740
2021-09-24 18:19:16.860263 : Epoch  1, Batch    511, Loss  0.888211, Average Loss  0.895468, Time  0.444918
2021-09-24 18:19:22.814725 : Epoch  1, Batch    512, Loss  0.890708, Average Loss  0.895459, Time  0.445471
2021-09-24 18:19:28.772726 : Epoch  1, Batch    513, Loss  0.886118, Average Loss  0.895249, Time  0.445936
2021-09-24 18:19:34.722146 : Epoch  1, Batch    514, Loss  0.886701, Average Loss  0.895131, Time  0.443781
2021-09-24 18:19:40.697462 : Epoch  1, Batch    515, Loss  0.884847, Average Loss  0.894995, Time  0.457560
2021-09-24 18:19:46.650002 : Epoch  1, Batch    516, Loss  0.893169, Average Loss  0.894825, Time  0.444963
2021-09-24 18:19:52.589703 : Epoch  1, Batch    517, Loss  0.891158, Average Loss  0.894858, Time  0.443383
2021-09-24 18:19:58.541590 : Epoch  1, Batch    518, Loss  0.891407, Average Loss  0.894775, Time  0.447623
2021-09-24 18:20:04.470280 : Epoch  1, Batch    519, Loss  0.902012, Average Loss  0.894754, Time  0.446880
2021-09-24 18:20:10.432275 : Epoch  1, Batch    520, Loss  0.877573, Average Loss  0.894527, Time  0.444971
2021-09-24 18:20:16.420230 : Epoch  1, Batch    521, Loss  0.880042, Average Loss  0.894345, Time  0.446835
2021-09-24 18:20:22.370621 : Epoch  1, Batch    522, Loss  0.873180, Average Loss  0.894243, Time  0.460347
2021-09-24 18:20:28.346162 : Epoch  1, Batch    523, Loss  0.887276, Average Loss  0.894025, Time  0.446294
2021-09-24 18:20:34.316869 : Epoch  1, Batch    524, Loss  0.906627, Average Loss  0.894007, Time  0.454290
2021-09-24 18:20:40.281632 : Epoch  1, Batch    525, Loss  0.879270, Average Loss  0.893841, Time  0.446505
2021-09-24 18:20:46.227501 : Epoch  1, Batch    526, Loss  0.885971, Average Loss  0.893711, Time  0.447222
2021-09-24 18:20:52.193457 : Epoch  1, Batch    527, Loss  0.881704, Average Loss  0.893595, Time  0.446790
2021-09-24 18:20:58.162004 : Epoch  1, Batch    528, Loss  0.883120, Average Loss  0.893490, Time  0.444390
2021-09-24 18:21:04.108652 : Epoch  1, Batch    529, Loss  0.894064, Average Loss  0.893430, Time  0.444058
2021-09-24 18:21:10.074711 : Epoch  1, Batch    530, Loss  0.880058, Average Loss  0.893252, Time  0.457388
2021-09-24 18:21:16.033823 : Epoch  1, Batch    531, Loss  0.880487, Average Loss  0.893115, Time  0.443417
2021-09-24 18:21:21.994698 : Epoch  1, Batch    532, Loss  0.884065, Average Loss  0.892952, Time  0.445371
2021-09-24 18:21:27.952668 : Epoch  1, Batch    533, Loss  0.900924, Average Loss  0.892982, Time  0.448886
2021-09-24 18:21:33.898383 : Epoch  1, Batch    534, Loss  0.891006, Average Loss  0.892878, Time  0.447433
2021-09-24 18:21:39.855062 : Epoch  1, Batch    535, Loss  0.878178, Average Loss  0.892780, Time  0.446918
2021-09-24 18:21:45.812747 : Epoch  1, Batch    536, Loss  0.883385, Average Loss  0.892691, Time  0.451654
2021-09-24 18:21:51.761421 : Epoch  1, Batch    537, Loss  0.904905, Average Loss  0.892660, Time  0.444616
2021-09-24 18:21:57.718465 : Epoch  1, Batch    538, Loss  0.900955, Average Loss  0.892581, Time  0.455563
2021-09-24 18:22:03.670604 : Epoch  1, Batch    539, Loss  0.868003, Average Loss  0.892389, Time  0.444577
2021-09-24 18:22:09.607747 : Epoch  1, Batch    540, Loss  0.902441, Average Loss  0.892356, Time  0.443507
2021-09-24 18:22:15.555542 : Epoch  1, Batch    541, Loss  0.892676, Average Loss  0.892341, Time  0.444223
2021-09-24 18:22:21.514799 : Epoch  1, Batch    542, Loss  0.885501, Average Loss  0.892251, Time  0.446204
2021-09-24 18:22:27.471929 : Epoch  1, Batch    543, Loss  0.886115, Average Loss  0.892129, Time  0.448709
2021-09-24 18:22:33.428611 : Epoch  1, Batch    544, Loss  0.898776, Average Loss  0.892217, Time  0.445471
2021-09-24 18:22:39.384290 : Epoch  1, Batch    545, Loss  0.893661, Average Loss  0.892210, Time  0.454218
2021-09-24 18:22:45.333929 : Epoch  1, Batch    546, Loss  0.880464, Average Loss  0.892146, Time  0.452174
2021-09-24 18:22:51.279744 : Epoch  1, Batch    547, Loss  0.883183, Average Loss  0.891972, Time  0.445011
2021-09-24 18:22:57.217753 : Epoch  1, Batch    548, Loss  0.870710, Average Loss  0.891854, Time  0.444400
2021-09-24 18:23:03.167318 : Epoch  1, Batch    549, Loss  0.881529, Average Loss  0.891798, Time  0.448410
2021-09-24 18:23:09.117943 : Epoch  1, Batch    550, Loss  0.881790, Average Loss  0.891688, Time  0.446744
2021-09-24 18:23:15.062569 : Epoch  1, Batch    551, Loss  0.890631, Average Loss  0.891643, Time  0.444139
2021-09-24 18:23:21.004739 : Epoch  1, Batch    552, Loss  0.883295, Average Loss  0.891566, Time  0.444611
2021-09-24 18:23:26.973875 : Epoch  1, Batch    553, Loss  0.872208, Average Loss  0.891301, Time  0.458229
2021-09-24 18:23:32.925948 : Epoch  1, Batch    554, Loss  0.881701, Average Loss  0.891278, Time  0.445428
2021-09-24 18:23:38.884123 : Epoch  1, Batch    555, Loss  0.876740, Average Loss  0.891171, Time  0.444439
2021-09-24 18:23:44.830956 : Epoch  1, Batch    556, Loss  0.891998, Average Loss  0.891086, Time  0.443585
2021-09-24 18:23:50.784596 : Epoch  1, Batch    557, Loss  0.880341, Average Loss  0.890991, Time  0.443680
2021-09-24 18:23:56.742678 : Epoch  1, Batch    558, Loss  0.896471, Average Loss  0.890973, Time  0.449082
2021-09-24 18:24:02.684532 : Epoch  1, Batch    559, Loss  0.890357, Average Loss  0.890828, Time  0.445428
2021-09-24 18:24:08.648974 : Epoch  1, Batch    560, Loss  0.886700, Average Loss  0.890800, Time  0.444595
2021-09-24 18:24:14.617754 : Epoch  1, Batch    561, Loss  0.861227, Average Loss  0.890644, Time  0.455962
2021-09-24 18:24:20.544876 : Epoch  1, Batch    562, Loss  0.892355, Average Loss  0.890640, Time  0.444128
2021-09-24 18:24:26.485845 : Epoch  1, Batch    563, Loss  0.887101, Average Loss  0.890610, Time  0.447994
2021-09-24 18:24:32.434299 : Epoch  1, Batch    564, Loss  0.888926, Average Loss  0.890527, Time  0.450895
2021-09-24 18:24:38.384496 : Epoch  1, Batch    565, Loss  0.889923, Average Loss  0.890517, Time  0.444544
2021-09-24 18:24:44.342435 : Epoch  1, Batch    566, Loss  0.896044, Average Loss  0.890542, Time  0.445211
2021-09-24 18:24:50.286253 : Epoch  1, Batch    567, Loss  0.892862, Average Loss  0.890560, Time  0.450898
2021-09-24 18:24:56.240154 : Epoch  1, Batch    568, Loss  0.884409, Average Loss  0.890547, Time  0.454365
2021-09-24 18:25:02.176409 : Epoch  1, Batch    569, Loss  0.893594, Average Loss  0.890524, Time  0.445283
2021-09-24 18:25:08.138331 : Epoch  1, Batch    570, Loss  0.904624, Average Loss  0.890595, Time  0.444816
2021-09-24 18:25:14.155414 : Epoch  1, Batch    571, Loss  0.875096, Average Loss  0.890433, Time  0.446680
2021-09-24 18:25:20.087133 : Epoch  1, Batch    572, Loss  0.881862, Average Loss  0.890410, Time  0.444344
2021-09-24 18:25:26.040489 : Epoch  1, Batch    573, Loss  0.892474, Average Loss  0.890449, Time  0.442999
2021-09-24 18:25:31.999579 : Epoch  1, Batch    574, Loss  0.882417, Average Loss  0.890409, Time  0.445958
2021-09-24 18:25:37.960850 : Epoch  1, Batch    575, Loss  0.877257, Average Loss  0.890362, Time  0.448457
2021-09-24 18:25:43.920723 : Epoch  1, Batch    576, Loss  0.878797, Average Loss  0.890288, Time  0.461044
2021-09-24 18:25:49.861862 : Epoch  1, Batch    577, Loss  0.896020, Average Loss  0.890251, Time  0.443719
2021-09-24 18:25:55.825780 : Epoch  1, Batch    578, Loss  0.899196, Average Loss  0.890227, Time  0.445367
2021-09-24 18:26:01.770325 : Epoch  1, Batch    579, Loss  0.880598, Average Loss  0.890167, Time  0.446795
2021-09-24 18:26:07.724247 : Epoch  1, Batch    580, Loss  0.892997, Average Loss  0.890140, Time  0.444840
2021-09-24 18:26:13.676765 : Epoch  1, Batch    581, Loss  0.892231, Average Loss  0.890121, Time  0.448591
2021-09-24 18:26:19.640212 : Epoch  1, Batch    582, Loss  0.879156, Average Loss  0.890112, Time  0.447596
2021-09-24 18:26:25.586573 : Epoch  1, Batch    583, Loss  0.884224, Average Loss  0.890070, Time  0.444809
2021-09-24 18:26:31.567427 : Epoch  1, Batch    584, Loss  0.875821, Average Loss  0.889895, Time  0.462915
2021-09-24 18:26:37.525789 : Epoch  1, Batch    585, Loss  0.881737, Average Loss  0.889800, Time  0.446420
2021-09-24 18:26:43.472351 : Epoch  1, Batch    586, Loss  0.868155, Average Loss  0.889612, Time  0.444833
2021-09-24 18:26:49.430343 : Epoch  1, Batch    587, Loss  0.888797, Average Loss  0.889669, Time  0.445633
2021-09-24 18:26:55.381514 : Epoch  1, Batch    588, Loss  0.895085, Average Loss  0.889660, Time  0.447902
2021-09-24 18:27:01.327129 : Epoch  1, Batch    589, Loss  0.880468, Average Loss  0.889634, Time  0.448034
2021-09-24 18:27:07.278667 : Epoch  1, Batch    590, Loss  0.894440, Average Loss  0.889616, Time  0.444346
2021-09-24 18:27:13.245463 : Epoch  1, Batch    591, Loss  0.868870, Average Loss  0.889396, Time  0.455814
2021-09-24 18:27:19.202936 : Epoch  1, Batch    592, Loss  0.876350, Average Loss  0.889303, Time  0.445905
2021-09-24 18:27:25.155735 : Epoch  1, Batch    593, Loss  0.894552, Average Loss  0.889188, Time  0.444157
2021-09-24 18:27:31.118165 : Epoch  1, Batch    594, Loss  0.883689, Average Loss  0.889126, Time  0.445754
2021-09-24 18:27:37.084842 : Epoch  1, Batch    595, Loss  0.887799, Average Loss  0.889073, Time  0.448219
2021-09-24 18:27:43.034835 : Epoch  1, Batch    596, Loss  0.880986, Average Loss  0.888946, Time  0.445577
2021-09-24 18:27:48.989562 : Epoch  1, Batch    597, Loss  0.894653, Average Loss  0.888857, Time  0.444969
2021-09-24 18:27:54.940606 : Epoch  1, Batch    598, Loss  0.880449, Average Loss  0.888760, Time  0.444957
2021-09-24 18:28:00.896304 : Epoch  1, Batch    599, Loss  0.877521, Average Loss  0.888637, Time  0.455573
2021-09-24 18:28:06.835836 : Epoch  1, Batch    600, Loss  0.887799, Average Loss  0.888581, Time  0.445141
2021-09-24 18:32:45.503026 : CheckPoint: Validation Loss  0.00015415, Best Loss  0.00014983
2021-09-24 18:32:51.440376 : Epoch  1, Batch    601, Loss  0.888640, Average Loss  0.888558, Time  0.447413
2021-09-24 18:32:57.382948 : Epoch  1, Batch    602, Loss  0.879924, Average Loss  0.888587, Time  0.443522
2021-09-24 18:33:03.335634 : Epoch  1, Batch    603, Loss  0.882645, Average Loss  0.888495, Time  0.444746
2021-09-24 18:33:09.287794 : Epoch  1, Batch    604, Loss  0.872617, Average Loss  0.888360, Time  0.443700
2021-09-24 18:33:15.243885 : Epoch  1, Batch    605, Loss  0.888878, Average Loss  0.888338, Time  0.444071
2021-09-24 18:33:21.198351 : Epoch  1, Batch    606, Loss  0.898278, Average Loss  0.888360, Time  0.458762
2021-09-24 18:33:27.152421 : Epoch  1, Batch    607, Loss  0.899855, Average Loss  0.888371, Time  0.444972
2021-09-24 18:33:33.102612 : Epoch  1, Batch    608, Loss  0.872857, Average Loss  0.888112, Time  0.448519
2021-09-24 18:33:39.064252 : Epoch  1, Batch    609, Loss  0.892949, Average Loss  0.888034, Time  0.447631
2021-09-24 18:33:45.007689 : Epoch  1, Batch    610, Loss  0.902230, Average Loss  0.888145, Time  0.445337
2021-09-24 18:33:50.940300 : Epoch  1, Batch    611, Loss  0.884547, Average Loss  0.888049, Time  0.446334
2021-09-24 18:33:56.876887 : Epoch  1, Batch    612, Loss  0.891787, Average Loss  0.888044, Time  0.443320
2021-09-24 18:34:02.813056 : Epoch  1, Batch    613, Loss  0.896988, Average Loss  0.887969, Time  0.445064
2021-09-24 18:34:08.767859 : Epoch  1, Batch    614, Loss  0.881655, Average Loss  0.887866, Time  0.455178
2021-09-24 18:34:14.704763 : Epoch  1, Batch    615, Loss  0.884445, Average Loss  0.887856, Time  0.443528
2021-09-24 18:34:20.624869 : Epoch  1, Batch    616, Loss  0.879760, Average Loss  0.887782, Time  0.446860
2021-09-24 18:34:26.567802 : Epoch  1, Batch    617, Loss  0.885962, Average Loss  0.887755, Time  0.444967
2021-09-24 18:34:32.516461 : Epoch  1, Batch    618, Loss  0.900705, Average Loss  0.887746, Time  0.444619
2021-09-24 18:34:38.461834 : Epoch  1, Batch    619, Loss  0.871226, Average Loss  0.887668, Time  0.444057
2021-09-24 18:34:44.397222 : Epoch  1, Batch    620, Loss  0.884706, Average Loss  0.887671, Time  0.445443
2021-09-24 18:34:50.340616 : Epoch  1, Batch    621, Loss  0.884331, Average Loss  0.887673, Time  0.446681
2021-09-24 18:34:56.308414 : Epoch  1, Batch    622, Loss  0.880708, Average Loss  0.887622, Time  0.459303
2021-09-24 18:35:02.251889 : Epoch  1, Batch    623, Loss  0.895039, Average Loss  0.887604, Time  0.446282
2021-09-24 18:35:08.200279 : Epoch  1, Batch    624, Loss  0.892250, Average Loss  0.887593, Time  0.447552
2021-09-24 18:35:14.141223 : Epoch  1, Batch    625, Loss  0.900060, Average Loss  0.887696, Time  0.445633
2021-09-24 18:35:20.084755 : Epoch  1, Batch    626, Loss  0.886342, Average Loss  0.887567, Time  0.444865
2021-09-24 18:35:26.031766 : Epoch  1, Batch    627, Loss  0.891174, Average Loss  0.887518, Time  0.447168
2021-09-24 18:35:31.964790 : Epoch  1, Batch    628, Loss  0.863826, Average Loss  0.887384, Time  0.444317
2021-09-24 18:35:37.906042 : Epoch  1, Batch    629, Loss  0.885747, Average Loss  0.887267, Time  0.451002
2021-09-24 18:35:43.856732 : Epoch  1, Batch    630, Loss  0.886132, Average Loss  0.887190, Time  0.453837
2021-09-24 18:35:49.809569 : Epoch  1, Batch    631, Loss  0.886958, Average Loss  0.887222, Time  0.444453
2021-09-24 18:35:55.748625 : Epoch  1, Batch    632, Loss  0.887777, Average Loss  0.887180, Time  0.449435
2021-09-24 18:36:01.688700 : Epoch  1, Batch    633, Loss  0.870918, Average Loss  0.887060, Time  0.445174
2021-09-24 18:36:07.637123 : Epoch  1, Batch    634, Loss  0.881164, Average Loss  0.886992, Time  0.443595
2021-09-24 18:36:13.577873 : Epoch  1, Batch    635, Loss  0.884293, Average Loss  0.886989, Time  0.446176
2021-09-24 18:36:19.540873 : Epoch  1, Batch    636, Loss  0.882329, Average Loss  0.886973, Time  0.445632
2021-09-24 18:36:25.484217 : Epoch  1, Batch    637, Loss  0.882502, Average Loss  0.886944, Time  0.447231
2021-09-24 18:36:31.442873 : Epoch  1, Batch    638, Loss  0.882050, Average Loss  0.886908, Time  0.455232
2021-09-24 18:36:37.397813 : Epoch  1, Batch    639, Loss  0.887034, Average Loss  0.886855, Time  0.447212
2021-09-24 18:36:43.362599 : Epoch  1, Batch    640, Loss  0.888303, Average Loss  0.886876, Time  0.445392
2021-09-24 18:36:49.316510 : Epoch  1, Batch    641, Loss  0.872121, Average Loss  0.886799, Time  0.445510
2021-09-24 18:36:55.256291 : Epoch  1, Batch    642, Loss  0.891590, Average Loss  0.886794, Time  0.445174
2021-09-24 18:37:01.206784 : Epoch  1, Batch    643, Loss  0.886332, Average Loss  0.886733, Time  0.448172
2021-09-24 18:37:07.171196 : Epoch  1, Batch    644, Loss  0.889727, Average Loss  0.886670, Time  0.443345
2021-09-24 18:37:13.140800 : Epoch  1, Batch    645, Loss  0.888854, Average Loss  0.886721, Time  0.464343
2021-09-24 18:37:19.071873 : Epoch  1, Batch    646, Loss  0.876149, Average Loss  0.886589, Time  0.449423
2021-09-24 18:37:25.006931 : Epoch  1, Batch    647, Loss  0.878922, Average Loss  0.886575, Time  0.445125
2021-09-24 18:37:30.966065 : Epoch  1, Batch    648, Loss  0.881540, Average Loss  0.886602, Time  0.453394
2021-09-24 18:37:36.906463 : Epoch  1, Batch    649, Loss  0.889088, Average Loss  0.886613, Time  0.444785
2021-09-24 18:37:42.859032 : Epoch  1, Batch    650, Loss  0.888861, Average Loss  0.886573, Time  0.446202
2021-09-24 18:37:48.820571 : Epoch  1, Batch    651, Loss  0.874357, Average Loss  0.886523, Time  0.449500
2021-09-24 18:37:54.765721 : Epoch  1, Batch    652, Loss  0.880982, Average Loss  0.886465, Time  0.446539
2021-09-24 18:38:00.714146 : Epoch  1, Batch    653, Loss  0.886477, Average Loss  0.886460, Time  0.455598
2021-09-24 18:38:06.656379 : Epoch  1, Batch    654, Loss  0.865857, Average Loss  0.886338, Time  0.448030
2021-09-24 18:38:12.625633 : Epoch  1, Batch    655, Loss  0.878877, Average Loss  0.886265, Time  0.444846
2021-09-24 18:38:18.574988 : Epoch  1, Batch    656, Loss  0.878299, Average Loss  0.886206, Time  0.449485
2021-09-24 18:38:24.537022 : Epoch  1, Batch    657, Loss  0.894584, Average Loss  0.886227, Time  0.445248
2021-09-24 18:38:30.483855 : Epoch  1, Batch    658, Loss  0.893628, Average Loss  0.886265, Time  0.444726
2021-09-24 18:38:36.437885 : Epoch  1, Batch    659, Loss  0.901144, Average Loss  0.886408, Time  0.445942
2021-09-24 18:38:42.436393 : Epoch  1, Batch    660, Loss  0.890043, Average Loss  0.886407, Time  0.449734
2021-09-24 18:38:48.415379 : Epoch  1, Batch    661, Loss  0.874427, Average Loss  0.886320, Time  0.462710
2021-09-24 18:38:54.368702 : Epoch  1, Batch    662, Loss  0.884402, Average Loss  0.886312, Time  0.447551
2021-09-24 18:39:00.325441 : Epoch  1, Batch    663, Loss  0.885026, Average Loss  0.886311, Time  0.448279
2021-09-24 18:39:06.280526 : Epoch  1, Batch    664, Loss  0.881820, Average Loss  0.886265, Time  0.447102
2021-09-24 18:39:12.252830 : Epoch  1, Batch    665, Loss  0.876944, Average Loss  0.886149, Time  0.450523
2021-09-24 18:39:18.195058 : Epoch  1, Batch    666, Loss  0.885486, Average Loss  0.886239, Time  0.445783
2021-09-24 18:39:24.156112 : Epoch  1, Batch    667, Loss  0.879296, Average Loss  0.886199, Time  0.446146
2021-09-24 18:39:30.107814 : Epoch  1, Batch    668, Loss  0.871545, Average Loss  0.886142, Time  0.447244
2021-09-24 18:39:36.065064 : Epoch  1, Batch    669, Loss  0.873227, Average Loss  0.886029, Time  0.458890
2021-09-24 18:39:42.005435 : Epoch  1, Batch    670, Loss  0.898331, Average Loss  0.886082, Time  0.445395
2021-09-24 18:39:47.974746 : Epoch  1, Batch    671, Loss  0.875373, Average Loss  0.885967, Time  0.447504
2021-09-24 18:39:53.935971 : Epoch  1, Batch    672, Loss  0.885741, Average Loss  0.885985, Time  0.443494
2021-09-24 18:39:59.887520 : Epoch  1, Batch    673, Loss  0.873267, Average Loss  0.885897, Time  0.445607
2021-09-24 18:40:05.827417 : Epoch  1, Batch    674, Loss  0.880721, Average Loss  0.885861, Time  0.444227
2021-09-24 18:40:11.774858 : Epoch  1, Batch    675, Loss  0.877697, Average Loss  0.885744, Time  0.445230
2021-09-24 18:40:17.713681 : Epoch  1, Batch    676, Loss  0.883185, Average Loss  0.885725, Time  0.446285
2021-09-24 18:40:23.685410 : Epoch  1, Batch    677, Loss  0.877376, Average Loss  0.885686, Time  0.462266
2021-09-24 18:40:29.635969 : Epoch  1, Batch    678, Loss  0.884752, Average Loss  0.885616, Time  0.444371
2021-09-24 18:40:35.613943 : Epoch  1, Batch    679, Loss  0.874843, Average Loss  0.885531, Time  0.449232
2021-09-24 18:40:41.582011 : Epoch  1, Batch    680, Loss  0.877378, Average Loss  0.885482, Time  0.449125
2021-09-24 18:40:47.535783 : Epoch  1, Batch    681, Loss  0.870470, Average Loss  0.885440, Time  0.449655
2021-09-24 18:40:53.491384 : Epoch  1, Batch    682, Loss  0.883823, Average Loss  0.885404, Time  0.445871
2021-09-24 18:40:59.440235 : Epoch  1, Batch    683, Loss  0.879272, Average Loss  0.885355, Time  0.446555
2021-09-24 18:41:05.397359 : Epoch  1, Batch    684, Loss  0.869397, Average Loss  0.885247, Time  0.452108
2021-09-24 18:41:11.336453 : Epoch  1, Batch    685, Loss  0.878946, Average Loss  0.885176, Time  0.446669
2021-09-24 18:41:17.278791 : Epoch  1, Batch    686, Loss  0.878391, Average Loss  0.885127, Time  0.446664
2021-09-24 18:41:23.232677 : Epoch  1, Batch    687, Loss  0.874237, Average Loss  0.885199, Time  0.443754
2021-09-24 18:41:29.181931 : Epoch  1, Batch    688, Loss  0.887771, Average Loss  0.885205, Time  0.447176
2021-09-24 18:41:35.133423 : Epoch  1, Batch    689, Loss  0.861595, Average Loss  0.885002, Time  0.443490
2021-09-24 18:41:41.088555 : Epoch  1, Batch    690, Loss  0.892509, Average Loss  0.884996, Time  0.443861
2021-09-24 18:41:47.044818 : Epoch  1, Batch    691, Loss  0.874542, Average Loss  0.884927, Time  0.445479
2021-09-24 18:41:53.005816 : Epoch  1, Batch    692, Loss  0.889611, Average Loss  0.884914, Time  0.453526
2021-09-24 18:41:58.964622 : Epoch  1, Batch    693, Loss  0.881738, Average Loss  0.884921, Time  0.444252
2021-09-24 18:42:04.921663 : Epoch  1, Batch    694, Loss  0.871820, Average Loss  0.884848, Time  0.443862
2021-09-24 18:42:10.876743 : Epoch  1, Batch    695, Loss  0.870364, Average Loss  0.884758, Time  0.443372
2021-09-24 18:42:16.825047 : Epoch  1, Batch    696, Loss  0.869135, Average Loss  0.884711, Time  0.444044
2021-09-24 18:42:22.811859 : Epoch  1, Batch    697, Loss  0.898655, Average Loss  0.884711, Time  0.443807
2021-09-24 18:42:28.770740 : Epoch  1, Batch    698, Loss  0.873298, Average Loss  0.884659, Time  0.443700
2021-09-24 18:42:34.730852 : Epoch  1, Batch    699, Loss  0.878724, Average Loss  0.884619, Time  0.445214
2021-09-24 18:42:40.690882 : Epoch  1, Batch    700, Loss  0.889154, Average Loss  0.884636, Time  0.460997
2021-09-24 18:47:19.865732 : CheckPoint: Validation Loss  0.00015517, Best Loss  0.00014983
2021-09-24 18:47:25.834653 : Epoch  1, Batch    701, Loss  0.867554, Average Loss  0.884543, Time  0.447078
2021-09-24 18:47:31.788194 : Epoch  1, Batch    702, Loss  0.884239, Average Loss  0.884482, Time  0.446405
2021-09-24 18:47:37.775104 : Epoch  1, Batch    703, Loss  0.878477, Average Loss  0.884491, Time  0.445954
2021-09-24 18:47:43.731465 : Epoch  1, Batch    704, Loss  0.876837, Average Loss  0.884424, Time  0.448120
2021-09-24 18:47:49.680818 : Epoch  1, Batch    705, Loss  0.887130, Average Loss  0.884425, Time  0.444924
2021-09-24 18:47:55.616191 : Epoch  1, Batch    706, Loss  0.862273, Average Loss  0.884347, Time  0.447713
2021-09-24 18:48:01.581955 : Epoch  1, Batch    707, Loss  0.884626, Average Loss  0.884351, Time  0.459525
2021-09-24 18:48:07.524392 : Epoch  1, Batch    708, Loss  0.884205, Average Loss  0.884360, Time  0.446104
2021-09-24 18:48:13.471651 : Epoch  1, Batch    709, Loss  0.871917, Average Loss  0.884285, Time  0.443447
2021-09-24 18:48:19.426273 : Epoch  1, Batch    710, Loss  0.890848, Average Loss  0.884262, Time  0.444483
2021-09-24 18:48:25.387172 : Epoch  1, Batch    711, Loss  0.884095, Average Loss  0.884241, Time  0.443723
2021-09-24 18:48:31.332997 : Epoch  1, Batch    712, Loss  0.874897, Average Loss  0.884162, Time  0.445264
2021-09-24 18:48:37.280835 : Epoch  1, Batch    713, Loss  0.875942, Average Loss  0.884111, Time  0.445879
2021-09-24 18:48:43.234120 : Epoch  1, Batch    714, Loss  0.885118, Average Loss  0.884104, Time  0.459232
2021-09-24 18:48:49.191787 : Epoch  1, Batch    715, Loss  0.899494, Average Loss  0.884177, Time  0.443425
2021-09-24 18:48:55.142855 : Epoch  1, Batch    716, Loss  0.889614, Average Loss  0.884159, Time  0.446249
2021-09-24 18:49:01.103863 : Epoch  1, Batch    717, Loss  0.881710, Average Loss  0.884112, Time  0.443774
2021-09-24 18:49:07.049736 : Epoch  1, Batch    718, Loss  0.879966, Average Loss  0.884055, Time  0.443927
2021-09-24 18:49:13.004968 : Epoch  1, Batch    719, Loss  0.895456, Average Loss  0.884022, Time  0.444982
2021-09-24 18:49:18.948197 : Epoch  1, Batch    720, Loss  0.877786, Average Loss  0.884023, Time  0.444592
2021-09-24 18:49:24.913003 : Epoch  1, Batch    721, Loss  0.888413, Average Loss  0.884065, Time  0.448170
2021-09-24 18:49:30.886827 : Epoch  1, Batch    722, Loss  0.874793, Average Loss  0.884073, Time  0.458320
2021-09-24 18:49:36.836846 : Epoch  1, Batch    723, Loss  0.884771, Average Loss  0.884060, Time  0.444161
2021-09-24 18:49:42.793024 : Epoch  1, Batch    724, Loss  0.882191, Average Loss  0.883938, Time  0.445829
2021-09-24 18:49:48.750285 : Epoch  1, Batch    725, Loss  0.878875, Average Loss  0.883936, Time  0.446786
2021-09-24 18:49:54.700640 : Epoch  1, Batch    726, Loss  0.874402, Average Loss  0.883878, Time  0.449854
2021-09-24 18:50:00.651938 : Epoch  1, Batch    727, Loss  0.864673, Average Loss  0.883793, Time  0.445226
2021-09-24 18:50:06.600931 : Epoch  1, Batch    728, Loss  0.881787, Average Loss  0.883786, Time  0.444088
2021-09-24 18:50:12.535422 : Epoch  1, Batch    729, Loss  0.893513, Average Loss  0.883784, Time  0.443588
2021-09-24 18:50:18.479651 : Epoch  1, Batch    730, Loss  0.878266, Average Loss  0.883775, Time  0.461665
2021-09-24 18:50:24.447579 : Epoch  1, Batch    731, Loss  0.880191, Average Loss  0.883773, Time  0.445635
2021-09-24 18:50:30.400865 : Epoch  1, Batch    732, Loss  0.867026, Average Loss  0.883688, Time  0.447256
2021-09-24 18:50:36.339491 : Epoch  1, Batch    733, Loss  0.871124, Average Loss  0.883539, Time  0.445160
2021-09-24 18:50:42.278102 : Epoch  1, Batch    734, Loss  0.884616, Average Loss  0.883507, Time  0.443425
2021-09-24 18:50:48.219082 : Epoch  1, Batch    735, Loss  0.886091, Average Loss  0.883547, Time  0.447171
2021-09-24 18:50:54.159878 : Epoch  1, Batch    736, Loss  0.868320, Average Loss  0.883471, Time  0.443683
2021-09-24 18:51:00.104563 : Epoch  1, Batch    737, Loss  0.881858, Average Loss  0.883356, Time  0.447610
2021-09-24 18:51:06.064822 : Epoch  1, Batch    738, Loss  0.877276, Average Loss  0.883238, Time  0.459634
2021-09-24 18:51:11.998415 : Epoch  1, Batch    739, Loss  0.879849, Average Loss  0.883297, Time  0.444276
2021-09-24 18:51:17.917143 : Epoch  1, Batch    740, Loss  0.879522, Average Loss  0.883182, Time  0.443742
2021-09-24 18:51:23.871210 : Epoch  1, Batch    741, Loss  0.878274, Average Loss  0.883110, Time  0.443119
2021-09-24 18:51:29.809478 : Epoch  1, Batch    742, Loss  0.887335, Average Loss  0.883119, Time  0.445804
2021-09-24 18:51:35.750927 : Epoch  1, Batch    743, Loss  0.881400, Average Loss  0.883096, Time  0.446938
2021-09-24 18:51:41.686789 : Epoch  1, Batch    744, Loss  0.892720, Average Loss  0.883066, Time  0.444487
2021-09-24 18:51:47.616230 : Epoch  1, Batch    745, Loss  0.872188, Average Loss  0.882958, Time  0.444760
2021-09-24 18:51:53.553381 : Epoch  1, Batch    746, Loss  0.872416, Average Loss  0.882918, Time  0.459915
2021-09-24 18:51:59.487804 : Epoch  1, Batch    747, Loss  0.873075, Average Loss  0.882867, Time  0.443672
2021-09-24 18:52:05.432954 : Epoch  1, Batch    748, Loss  0.891297, Average Loss  0.882970, Time  0.447702
2021-09-24 18:52:11.376856 : Epoch  1, Batch    749, Loss  0.873218, Average Loss  0.882929, Time  0.447810
2021-09-24 18:52:17.310333 : Epoch  1, Batch    750, Loss  0.879018, Average Loss  0.882915, Time  0.447435
2021-09-24 18:52:23.259720 : Epoch  1, Batch    751, Loss  0.854211, Average Loss  0.882733, Time  0.445513
2021-09-24 18:52:29.197916 : Epoch  1, Batch    752, Loss  0.881826, Average Loss  0.882726, Time  0.443339
2021-09-24 18:52:35.173881 : Epoch  1, Batch    753, Loss  0.898881, Average Loss  0.882859, Time  0.462260
2021-09-24 18:52:41.114801 : Epoch  1, Batch    754, Loss  0.889200, Average Loss  0.882896, Time  0.446568
2021-09-24 18:52:47.072103 : Epoch  1, Batch    755, Loss  0.869533, Average Loss  0.882860, Time  0.446291
2021-09-24 18:52:53.007753 : Epoch  1, Batch    756, Loss  0.884852, Average Loss  0.882825, Time  0.447284
2021-09-24 18:52:58.950945 : Epoch  1, Batch    757, Loss  0.879655, Average Loss  0.882821, Time  0.446152
2021-09-24 18:53:04.893900 : Epoch  1, Batch    758, Loss  0.884761, Average Loss  0.882763, Time  0.444530
2021-09-24 18:53:10.828809 : Epoch  1, Batch    759, Loss  0.885417, Average Loss  0.882738, Time  0.443638
2021-09-24 18:53:16.781913 : Epoch  1, Batch    760, Loss  0.884904, Average Loss  0.882729, Time  0.443671
2021-09-24 18:53:22.712828 : Epoch  1, Batch    761, Loss  0.868748, Average Loss  0.882767, Time  0.453623
2021-09-24 18:53:28.654918 : Epoch  1, Batch    762, Loss  0.878334, Average Loss  0.882696, Time  0.445967
2021-09-24 18:53:34.599832 : Epoch  1, Batch    763, Loss  0.887571, Average Loss  0.882699, Time  0.444814
2021-09-24 18:53:40.556021 : Epoch  1, Batch    764, Loss  0.863353, Average Loss  0.882571, Time  0.447932
2021-09-24 18:53:46.503883 : Epoch  1, Batch    765, Loss  0.868874, Average Loss  0.882466, Time  0.449921
2021-09-24 18:53:52.472477 : Epoch  1, Batch    766, Loss  0.864329, Average Loss  0.882307, Time  0.444232
2021-09-24 18:53:58.418790 : Epoch  1, Batch    767, Loss  0.871992, Average Loss  0.882203, Time  0.447329
2021-09-24 18:54:04.357253 : Epoch  1, Batch    768, Loss  0.897668, Average Loss  0.882269, Time  0.444250
2021-09-24 18:54:10.322530 : Epoch  1, Batch    769, Loss  0.865685, Average Loss  0.882130, Time  0.459397
2021-09-24 18:54:16.269395 : Epoch  1, Batch    770, Loss  0.881709, Average Loss  0.882015, Time  0.450247
2021-09-24 18:54:20.677465 : Epoch  1, Batch    771, Loss  0.885722, Average Loss  0.882068, Time  0.349165
2021-09-24 18:54:26.630089 : Epoch  1, Batch    772, Loss  0.882140, Average Loss  0.882069, Time  0.446318
2021-09-24 18:54:32.578768 : Epoch  1, Batch    773, Loss  0.877933, Average Loss  0.881997, Time  0.445020
2021-09-24 18:54:38.509853 : Epoch  1, Batch    774, Loss  0.874185, Average Loss  0.881956, Time  0.445697
2021-09-24 18:54:44.431809 : Epoch  1, Batch    775, Loss  0.884449, Average Loss  0.881992, Time  0.444357
2021-09-24 18:54:50.378548 : Epoch  1, Batch    776, Loss  0.861555, Average Loss  0.881905, Time  0.445698
2021-09-24 18:54:56.319665 : Epoch  1, Batch    777, Loss  0.879925, Average Loss  0.881825, Time  0.450334
2021-09-24 18:55:02.258657 : Epoch  1, Batch    778, Loss  0.899287, Average Loss  0.881825, Time  0.443746
2021-09-24 18:55:08.216386 : Epoch  1, Batch    779, Loss  0.867067, Average Loss  0.881758, Time  0.444795
2021-09-24 18:55:14.165521 : Epoch  1, Batch    780, Loss  0.877899, Average Loss  0.881682, Time  0.444353
2021-09-24 18:55:20.110124 : Epoch  1, Batch    781, Loss  0.887981, Average Loss  0.881661, Time  0.446142
2021-09-24 18:55:26.063400 : Epoch  1, Batch    782, Loss  0.879737, Average Loss  0.881664, Time  0.443706
2021-09-24 18:55:32.005860 : Epoch  1, Batch    783, Loss  0.870881, Average Loss  0.881597, Time  0.446466
2021-09-24 18:55:37.957943 : Epoch  1, Batch    784, Loss  0.890405, Average Loss  0.881670, Time  0.459625
2021-09-24 18:55:43.897987 : Epoch  1, Batch    785, Loss  0.867989, Average Loss  0.881601, Time  0.455627
2021-09-24 18:55:49.834870 : Epoch  1, Batch    786, Loss  0.874057, Average Loss  0.881631, Time  0.444013
2021-09-24 18:55:55.783830 : Epoch  1, Batch    787, Loss  0.883399, Average Loss  0.881604, Time  0.447202
2021-09-24 18:56:01.739438 : Epoch  1, Batch    788, Loss  0.872002, Average Loss  0.881488, Time  0.445209
2021-09-24 18:56:07.672532 : Epoch  1, Batch    789, Loss  0.872440, Average Loss  0.881448, Time  0.444437
2021-09-24 18:56:13.609902 : Epoch  1, Batch    790, Loss  0.890936, Average Loss  0.881431, Time  0.445990
2021-09-24 18:56:19.554844 : Epoch  1, Batch    791, Loss  0.890319, Average Loss  0.881538, Time  0.445083
2021-09-24 18:56:25.517056 : Epoch  1, Batch    792, Loss  0.879782, Average Loss  0.881555, Time  0.444564
2021-09-24 18:56:31.468183 : Epoch  1, Batch    793, Loss  0.874853, Average Loss  0.881457, Time  0.459078
2021-09-24 18:56:37.403061 : Epoch  1, Batch    794, Loss  0.880043, Average Loss  0.881438, Time  0.446469
2021-09-24 18:56:43.350453 : Epoch  1, Batch    795, Loss  0.889942, Average Loss  0.881449, Time  0.443523
2021-09-24 18:56:49.298747 : Epoch  1, Batch    796, Loss  0.878560, Average Loss  0.881437, Time  0.447427
2021-09-24 18:56:55.247209 : Epoch  1, Batch    797, Loss  0.873027, Average Loss  0.881329, Time  0.448206
2021-09-24 18:57:01.196049 : Epoch  1, Batch    798, Loss  0.885937, Average Loss  0.881356, Time  0.444482
2021-09-24 18:57:07.166219 : Epoch  1, Batch    799, Loss  0.892792, Average Loss  0.881433, Time  0.447549
2021-09-24 18:57:13.108997 : Epoch  1, Batch    800, Loss  0.876325, Average Loss  0.881375, Time  0.445494
2021-09-24 19:01:51.403444 : CheckPoint: Validation Loss  0.00014971, Best Loss  0.00014971
2021-09-24 19:01:51.441640 : Best Model Updated
2021-09-24 19:01:58.036647 : Epoch  1, Batch    801, Loss  0.877688, Average Loss  0.881321, Time  0.459208
2021-09-24 19:02:03.965003 : Epoch  1, Batch    802, Loss  0.884175, Average Loss  0.881342, Time  0.444801
2021-09-24 19:02:09.898898 : Epoch  1, Batch    803, Loss  0.866353, Average Loss  0.881260, Time  0.445784
2021-09-24 19:02:15.832094 : Epoch  1, Batch    804, Loss  0.867852, Average Loss  0.881237, Time  0.444007
2021-09-24 19:02:21.761576 : Epoch  1, Batch    805, Loss  0.871388, Average Loss  0.881149, Time  0.445189
2021-09-24 19:02:27.700646 : Epoch  1, Batch    806, Loss  0.882960, Average Loss  0.881073, Time  0.447068
2021-09-24 19:02:33.631618 : Epoch  1, Batch    807, Loss  0.887999, Average Loss  0.881013, Time  0.443592
2021-09-24 19:02:39.570350 : Epoch  1, Batch    808, Loss  0.871582, Average Loss  0.881007, Time  0.445312
2021-09-24 19:02:45.523784 : Epoch  1, Batch    809, Loss  0.866582, Average Loss  0.880875, Time  0.461704
2021-09-24 19:02:51.458845 : Epoch  1, Batch    810, Loss  0.870306, Average Loss  0.880715, Time  0.444185
2021-09-24 19:02:57.421151 : Epoch  1, Batch    811, Loss  0.864386, Average Loss  0.880615, Time  0.469279
2021-09-24 19:03:03.349914 : Epoch  1, Batch    812, Loss  0.875099, Average Loss  0.880531, Time  0.443960
2021-09-24 19:03:09.276298 : Epoch  1, Batch    813, Loss  0.870120, Average Loss  0.880397, Time  0.445383
2021-09-24 19:03:15.197381 : Epoch  1, Batch    814, Loss  0.875319, Average Loss  0.880365, Time  0.448229
2021-09-24 19:03:21.128637 : Epoch  1, Batch    815, Loss  0.879066, Average Loss  0.880338, Time  0.443789
2021-09-24 19:03:27.087700 : Epoch  1, Batch    816, Loss  0.887568, Average Loss  0.880377, Time  0.445082
2021-09-24 19:03:33.032142 : Epoch  1, Batch    817, Loss  0.878526, Average Loss  0.880340, Time  0.455199
2021-09-24 19:03:38.973739 : Epoch  1, Batch    818, Loss  0.872969, Average Loss  0.880201, Time  0.444850
2021-09-24 19:03:44.903884 : Epoch  1, Batch    819, Loss  0.875676, Average Loss  0.880224, Time  0.445250
2021-09-24 19:03:50.821461 : Epoch  1, Batch    820, Loss  0.869058, Average Loss  0.880145, Time  0.443594
2021-09-24 19:03:56.753836 : Epoch  1, Batch    821, Loss  0.863922, Average Loss  0.880043, Time  0.446636
2021-09-24 19:04:02.679140 : Epoch  1, Batch    822, Loss  0.890588, Average Loss  0.880093, Time  0.444230
2021-09-24 19:04:08.593835 : Epoch  1, Batch    823, Loss  0.882710, Average Loss  0.880031, Time  0.445332
2021-09-24 19:04:14.527431 : Epoch  1, Batch    824, Loss  0.881509, Average Loss  0.879977, Time  0.444258
2021-09-24 19:04:20.471977 : Epoch  1, Batch    825, Loss  0.876296, Average Loss  0.879859, Time  0.455484
2021-09-24 19:04:26.419773 : Epoch  1, Batch    826, Loss  0.874243, Average Loss  0.879798, Time  0.446785
2021-09-24 19:04:32.360233 : Epoch  1, Batch    827, Loss  0.867851, Average Loss  0.879682, Time  0.443462
2021-09-24 19:04:38.288376 : Epoch  1, Batch    828, Loss  0.877604, Average Loss  0.879750, Time  0.445378
2021-09-24 19:04:44.211955 : Epoch  1, Batch    829, Loss  0.864436, Average Loss  0.879644, Time  0.445602
2021-09-24 19:04:50.146339 : Epoch  1, Batch    830, Loss  0.884744, Average Loss  0.879637, Time  0.443438
2021-09-24 19:04:56.078250 : Epoch  1, Batch    831, Loss  0.877027, Average Loss  0.879587, Time  0.444632
2021-09-24 19:05:02.006907 : Epoch  1, Batch    832, Loss  0.877556, Average Loss  0.879536, Time  0.444119
2021-09-24 19:05:07.939905 : Epoch  1, Batch    833, Loss  0.880999, Average Loss  0.879587, Time  0.455230
2021-09-24 19:05:13.860967 : Epoch  1, Batch    834, Loss  0.896522, Average Loss  0.879663, Time  0.447132
2021-09-24 19:05:19.801313 : Epoch  1, Batch    835, Loss  0.883143, Average Loss  0.879658, Time  0.446563
2021-09-24 19:05:25.739190 : Epoch  1, Batch    836, Loss  0.885748, Average Loss  0.879675, Time  0.447139
2021-09-24 19:05:31.695778 : Epoch  1, Batch    837, Loss  0.864935, Average Loss  0.879587, Time  0.448732
2021-09-24 19:05:37.629009 : Epoch  1, Batch    838, Loss  0.870059, Average Loss  0.879527, Time  0.446246
2021-09-24 19:05:43.580857 : Epoch  1, Batch    839, Loss  0.878435, Average Loss  0.879484, Time  0.445158
2021-09-24 19:05:49.543969 : Epoch  1, Batch    840, Loss  0.879434, Average Loss  0.879440, Time  0.444519
2021-09-24 19:05:55.492044 : Epoch  1, Batch    841, Loss  0.887470, Average Loss  0.879516, Time  0.458447
2021-09-24 19:06:01.423828 : Epoch  1, Batch    842, Loss  0.877466, Average Loss  0.879446, Time  0.445490
2021-09-24 19:06:07.369887 : Epoch  1, Batch    843, Loss  0.880447, Average Loss  0.879416, Time  0.446379
2021-09-24 19:06:13.293405 : Epoch  1, Batch    844, Loss  0.866068, Average Loss  0.879298, Time  0.445522
2021-09-24 19:06:19.224972 : Epoch  1, Batch    845, Loss  0.874322, Average Loss  0.879225, Time  0.442917
2021-09-24 19:06:25.161935 : Epoch  1, Batch    846, Loss  0.877652, Average Loss  0.879233, Time  0.448381
2021-09-24 19:06:31.101792 : Epoch  1, Batch    847, Loss  0.892797, Average Loss  0.879302, Time  0.443876
2021-09-24 19:06:37.029733 : Epoch  1, Batch    848, Loss  0.877789, Average Loss  0.879283, Time  0.444794
2021-09-24 19:06:42.968645 : Epoch  1, Batch    849, Loss  0.869740, Average Loss  0.879187, Time  0.458151
2021-09-24 19:06:48.883093 : Epoch  1, Batch    850, Loss  0.870356, Average Loss  0.879094, Time  0.445078
2021-09-24 19:06:54.824961 : Epoch  1, Batch    851, Loss  0.875875, Average Loss  0.879102, Time  0.444137
2021-09-24 19:07:00.743689 : Epoch  1, Batch    852, Loss  0.876711, Average Loss  0.879080, Time  0.444388
2021-09-24 19:07:06.662670 : Epoch  1, Batch    853, Loss  0.877388, Average Loss  0.879035, Time  0.445948
2021-09-24 19:07:12.588300 : Epoch  1, Batch    854, Loss  0.867048, Average Loss  0.879041, Time  0.444238
2021-09-24 19:07:18.511384 : Epoch  1, Batch    855, Loss  0.882721, Average Loss  0.879060, Time  0.443795
2021-09-24 19:07:24.443936 : Epoch  1, Batch    856, Loss  0.878574, Average Loss  0.879062, Time  0.447541
2021-09-24 19:07:30.389598 : Epoch  1, Batch    857, Loss  0.889613, Average Loss  0.879037, Time  0.459497
2021-09-24 19:07:36.315466 : Epoch  1, Batch    858, Loss  0.885401, Average Loss  0.878996, Time  0.443938
2021-09-24 19:07:42.242968 : Epoch  1, Batch    859, Loss  0.886805, Average Loss  0.878924, Time  0.445599
2021-09-24 19:07:48.169168 : Epoch  1, Batch    860, Loss  0.879824, Average Loss  0.878873, Time  0.444226
2021-09-24 19:07:54.101748 : Epoch  1, Batch    861, Loss  0.885855, Average Loss  0.878930, Time  0.444158
2021-09-24 19:08:00.019695 : Epoch  1, Batch    862, Loss  0.885423, Average Loss  0.878935, Time  0.445534
2021-09-24 19:08:05.948767 : Epoch  1, Batch    863, Loss  0.875973, Average Loss  0.878890, Time  0.443540
2021-09-24 19:08:11.899294 : Epoch  1, Batch    864, Loss  0.881337, Average Loss  0.878887, Time  0.451418
2021-09-24 19:08:17.844808 : Epoch  1, Batch    865, Loss  0.887605, Average Loss  0.878941, Time  0.461226
2021-09-24 19:08:23.778080 : Epoch  1, Batch    866, Loss  0.884293, Average Loss  0.878935, Time  0.443864
2021-09-24 19:08:29.703253 : Epoch  1, Batch    867, Loss  0.884872, Average Loss  0.878963, Time  0.443931
2021-09-24 19:08:35.647127 : Epoch  1, Batch    868, Loss  0.881540, Average Loss  0.879012, Time  0.445919
2021-09-24 19:08:41.578457 : Epoch  1, Batch    869, Loss  0.872814, Average Loss  0.879010, Time  0.443491
2021-09-24 19:08:47.511890 : Epoch  1, Batch    870, Loss  0.878829, Average Loss  0.878913, Time  0.444806
2021-09-24 19:08:53.446825 : Epoch  1, Batch    871, Loss  0.881313, Average Loss  0.878943, Time  0.443972
2021-09-24 19:08:59.385354 : Epoch  1, Batch    872, Loss  0.875080, Average Loss  0.878889, Time  0.443304
2021-09-24 19:09:05.345292 : Epoch  1, Batch    873, Loss  0.883603, Average Loss  0.878941, Time  0.458413
2021-09-24 19:09:11.265880 : Epoch  1, Batch    874, Loss  0.877298, Average Loss  0.878924, Time  0.443972
2021-09-24 19:09:17.196802 : Epoch  1, Batch    875, Loss  0.867228, Average Loss  0.878872, Time  0.445015
2021-09-24 19:09:23.140796 : Epoch  1, Batch    876, Loss  0.885758, Average Loss  0.878884, Time  0.443768
2021-09-24 19:09:29.084811 : Epoch  1, Batch    877, Loss  0.879737, Average Loss  0.878896, Time  0.443811
2021-09-24 19:09:35.024125 : Epoch  1, Batch    878, Loss  0.868420, Average Loss  0.878815, Time  0.446672
2021-09-24 19:09:40.944678 : Epoch  1, Batch    879, Loss  0.883541, Average Loss  0.878858, Time  0.444870
2021-09-24 19:09:46.906237 : Epoch  1, Batch    880, Loss  0.877626, Average Loss  0.878859, Time  0.443913
2021-09-24 19:09:52.852617 : Epoch  1, Batch    881, Loss  0.880206, Average Loss  0.878908, Time  0.456684
2021-09-24 19:09:58.794358 : Epoch  1, Batch    882, Loss  0.865964, Average Loss  0.878819, Time  0.446407
2021-09-24 19:10:04.739372 : Epoch  1, Batch    883, Loss  0.879583, Average Loss  0.878820, Time  0.445391
2021-09-24 19:10:10.706007 : Epoch  1, Batch    884, Loss  0.878470, Average Loss  0.878866, Time  0.445348
2021-09-24 19:10:16.645966 : Epoch  1, Batch    885, Loss  0.863325, Average Loss  0.878787, Time  0.447060
2021-09-24 19:10:22.584726 : Epoch  1, Batch    886, Loss  0.866226, Average Loss  0.878727, Time  0.449577
2021-09-24 19:10:28.519859 : Epoch  1, Batch    887, Loss  0.874019, Average Loss  0.878726, Time  0.448015
2021-09-24 19:10:34.468849 : Epoch  1, Batch    888, Loss  0.867102, Average Loss  0.878622, Time  0.454937
2021-09-24 19:10:40.406806 : Epoch  1, Batch    889, Loss  0.863907, Average Loss  0.878634, Time  0.444907
2021-09-24 19:10:46.333197 : Epoch  1, Batch    890, Loss  0.882849, Average Loss  0.878585, Time  0.444213
2021-09-24 19:10:52.256898 : Epoch  1, Batch    891, Loss  0.877818, Average Loss  0.878602, Time  0.446365
2021-09-24 19:10:58.194762 : Epoch  1, Batch    892, Loss  0.878294, Average Loss  0.878545, Time  0.447903
2021-09-24 19:11:04.133671 : Epoch  1, Batch    893, Loss  0.880033, Average Loss  0.878537, Time  0.450879
2021-09-24 19:11:10.075085 : Epoch  1, Batch    894, Loss  0.869807, Average Loss  0.878527, Time  0.445715
2021-09-24 19:11:16.017213 : Epoch  1, Batch    895, Loss  0.891747, Average Loss  0.878634, Time  0.446140
2021-09-24 19:11:21.954503 : Epoch  1, Batch    896, Loss  0.876095, Average Loss  0.878668, Time  0.454662
2021-09-24 19:11:27.877742 : Epoch  1, Batch    897, Loss  0.900578, Average Loss  0.878678, Time  0.445634
2021-09-24 19:11:33.814103 : Epoch  1, Batch    898, Loss  0.875753, Average Loss  0.878690, Time  0.443579
2021-09-24 19:11:39.732599 : Epoch  1, Batch    899, Loss  0.866526, Average Loss  0.878629, Time  0.447028
2021-09-24 19:11:45.646056 : Epoch  1, Batch    900, Loss  0.868305, Average Loss  0.878525, Time  0.444187
2021-09-24 19:16:22.772845 : CheckPoint: Validation Loss  0.00015369, Best Loss  0.00014971
2021-09-24 19:16:28.730274 : Epoch  1, Batch    901, Loss  0.881624, Average Loss  0.878595, Time  0.444761
2021-09-24 19:16:34.720306 : Epoch  1, Batch    902, Loss  0.878910, Average Loss  0.878569, Time  0.444141
2021-09-24 19:16:40.707108 : Epoch  1, Batch    903, Loss  0.877963, Average Loss  0.878566, Time  0.443957
2021-09-24 19:16:46.707918 : Epoch  1, Batch    904, Loss  0.867234, Average Loss  0.878518, Time  0.451560
2021-09-24 19:16:52.718822 : Epoch  1, Batch    905, Loss  0.879860, Average Loss  0.878482, Time  0.444896
2021-09-24 19:16:58.716948 : Epoch  1, Batch    906, Loss  0.888199, Average Loss  0.878611, Time  0.446380
2021-09-24 19:17:04.732274 : Epoch  1, Batch    907, Loss  0.889389, Average Loss  0.878635, Time  0.447333
2021-09-24 19:17:10.733303 : Epoch  1, Batch    908, Loss  0.876080, Average Loss  0.878595, Time  0.445232
2021-09-24 19:17:16.747165 : Epoch  1, Batch    909, Loss  0.884733, Average Loss  0.878659, Time  0.444307
2021-09-24 19:17:22.731244 : Epoch  1, Batch    910, Loss  0.878871, Average Loss  0.878599, Time  0.443558
2021-09-24 19:17:28.795922 : Epoch  1, Batch    911, Loss  0.898643, Average Loss  0.878672, Time  0.458973
2021-09-24 19:17:34.822215 : Epoch  1, Batch    912, Loss  0.875770, Average Loss  0.878676, Time  0.443816
2021-09-24 19:17:40.842767 : Epoch  1, Batch    913, Loss  0.892713, Average Loss  0.878760, Time  0.443918
2021-09-24 19:17:46.862290 : Epoch  1, Batch    914, Loss  0.880464, Average Loss  0.878737, Time  0.447450
2021-09-24 19:17:52.878199 : Epoch  1, Batch    915, Loss  0.887818, Average Loss  0.878678, Time  0.451435
2021-09-24 19:17:58.883640 : Epoch  1, Batch    916, Loss  0.881871, Average Loss  0.878639, Time  0.445299
2021-09-24 19:18:04.882182 : Epoch  1, Batch    917, Loss  0.874190, Average Loss  0.878602, Time  0.443865
2021-09-24 19:18:10.892807 : Epoch  1, Batch    918, Loss  0.887725, Average Loss  0.878641, Time  0.447920
2021-09-24 19:18:16.923684 : Epoch  1, Batch    919, Loss  0.882888, Average Loss  0.878578, Time  0.456190
2021-09-24 19:18:22.925774 : Epoch  1, Batch    920, Loss  0.879138, Average Loss  0.878585, Time  0.446289
2021-09-24 19:18:28.941545 : Epoch  1, Batch    921, Loss  0.874861, Average Loss  0.878517, Time  0.443018
2021-09-24 19:18:34.957262 : Epoch  1, Batch    922, Loss  0.861615, Average Loss  0.878451, Time  0.444560
2021-09-24 19:18:40.965927 : Epoch  1, Batch    923, Loss  0.886843, Average Loss  0.878461, Time  0.443852
2021-09-24 19:18:46.983921 : Epoch  1, Batch    924, Loss  0.885034, Average Loss  0.878475, Time  0.443656
2021-09-24 19:18:53.009288 : Epoch  1, Batch    925, Loss  0.875640, Average Loss  0.878459, Time  0.446253
2021-09-24 19:18:59.020783 : Epoch  1, Batch    926, Loss  0.874111, Average Loss  0.878458, Time  0.447963
2021-09-24 19:19:05.044852 : Epoch  1, Batch    927, Loss  0.863024, Average Loss  0.878450, Time  0.453518
2021-09-24 19:19:11.063536 : Epoch  1, Batch    928, Loss  0.883565, Average Loss  0.878458, Time  0.445643
2021-09-24 19:19:11.119658 : Saving Model after 1-th Epoch.
2021-09-24 19:19:11.927680 : Epoch Finished.
2021-09-24 19:19:17.544440 : Batch Shuffled
2021-09-24 19:19:23.565237 : Epoch  2, Batch      1, Loss  0.876445, Average Loss  0.878373, Time  0.446197
2021-09-24 19:19:29.545448 : Epoch  2, Batch      2, Loss  0.876090, Average Loss  0.878362, Time  0.443705
2021-09-24 19:19:35.511840 : Epoch  2, Batch      3, Loss  0.861199, Average Loss  0.878267, Time  0.443386
2021-09-24 19:19:41.474684 : Epoch  2, Batch      4, Loss  0.874207, Average Loss  0.878303, Time  0.443876
2021-09-24 19:19:47.479261 : Epoch  2, Batch      5, Loss  0.880111, Average Loss  0.878348, Time  0.458471
2021-09-24 19:19:53.449797 : Epoch  2, Batch      6, Loss  0.889708, Average Loss  0.878374, Time  0.444513
2021-09-24 19:19:59.411109 : Epoch  2, Batch      7, Loss  0.874672, Average Loss  0.878317, Time  0.455252
2021-09-24 19:20:05.390495 : Epoch  2, Batch      8, Loss  0.867639, Average Loss  0.878313, Time  0.443656
2021-09-24 19:20:11.357316 : Epoch  2, Batch      9, Loss  0.883954, Average Loss  0.878324, Time  0.443588
2021-09-24 19:20:17.341704 : Epoch  2, Batch     10, Loss  0.884308, Average Loss  0.878359, Time  0.446727
2021-09-24 19:20:23.304350 : Epoch  2, Batch     11, Loss  0.888067, Average Loss  0.878400, Time  0.443447
2021-09-24 19:20:29.275045 : Epoch  2, Batch     12, Loss  0.881050, Average Loss  0.878407, Time  0.444127
2021-09-24 19:20:35.259065 : Epoch  2, Batch     13, Loss  0.896899, Average Loss  0.878501, Time  0.455817
2021-09-24 19:20:41.248606 : Epoch  2, Batch     14, Loss  0.872083, Average Loss  0.878424, Time  0.446958
2021-09-24 19:20:47.215448 : Epoch  2, Batch     15, Loss  0.885304, Average Loss  0.878444, Time  0.447364
2021-09-24 19:20:53.197120 : Epoch  2, Batch     16, Loss  0.875528, Average Loss  0.878358, Time  0.446725
2021-09-24 19:20:59.193611 : Epoch  2, Batch     17, Loss  0.890472, Average Loss  0.878449, Time  0.449214
2021-09-24 19:21:05.192447 : Epoch  2, Batch     18, Loss  0.879488, Average Loss  0.878485, Time  0.444330
2021-09-24 19:21:11.160567 : Epoch  2, Batch     19, Loss  0.878884, Average Loss  0.878514, Time  0.444280
2021-09-24 19:21:17.117518 : Epoch  2, Batch     20, Loss  0.879332, Average Loss  0.878454, Time  0.444354
2021-09-24 19:21:23.094138 : Epoch  2, Batch     21, Loss  0.878771, Average Loss  0.878482, Time  0.452961
2021-09-24 19:21:29.074381 : Epoch  2, Batch     22, Loss  0.870056, Average Loss  0.878437, Time  0.447292
2021-09-24 19:21:35.050110 : Epoch  2, Batch     23, Loss  0.883343, Average Loss  0.878583, Time  0.446984
2021-09-24 19:21:41.024789 : Epoch  2, Batch     24, Loss  0.874152, Average Loss  0.878544, Time  0.447176
2021-09-24 19:21:46.974019 : Epoch  2, Batch     25, Loss  0.896394, Average Loss  0.878532, Time  0.444851
2021-09-24 19:21:52.958962 : Epoch  2, Batch     26, Loss  0.872293, Average Loss  0.878447, Time  0.445614
2021-09-24 19:21:58.922045 : Epoch  2, Batch     27, Loss  0.885820, Average Loss  0.878529, Time  0.445318
2021-09-24 19:22:04.903287 : Epoch  2, Batch     28, Loss  0.883272, Average Loss  0.878521, Time  0.444576
2021-09-24 19:22:10.916623 : Epoch  2, Batch     29, Loss  0.882091, Average Loss  0.878533, Time  0.453384
2021-09-24 19:22:16.920404 : Epoch  2, Batch     30, Loss  0.856865, Average Loss  0.878393, Time  0.457425
2021-09-24 19:22:22.901883 : Epoch  2, Batch     31, Loss  0.882773, Average Loss  0.878380, Time  0.444511
2021-09-24 19:22:28.887703 : Epoch  2, Batch     32, Loss  0.880079, Average Loss  0.878356, Time  0.445375
2021-09-24 19:22:34.862855 : Epoch  2, Batch     33, Loss  0.864986, Average Loss  0.878337, Time  0.444358
2021-09-24 19:22:40.852393 : Epoch  2, Batch     34, Loss  0.896450, Average Loss  0.878428, Time  0.443569
2021-09-24 19:22:46.829883 : Epoch  2, Batch     35, Loss  0.863962, Average Loss  0.878310, Time  0.443868
2021-09-24 19:22:52.805779 : Epoch  2, Batch     36, Loss  0.876137, Average Loss  0.878374, Time  0.455878
2021-09-24 19:22:58.754616 : Epoch  2, Batch     37, Loss  0.865342, Average Loss  0.878356, Time  0.444181
2021-09-24 19:23:04.712919 : Epoch  2, Batch     38, Loss  0.885331, Average Loss  0.878461, Time  0.443882
2021-09-24 19:23:10.668286 : Epoch  2, Batch     39, Loss  0.870151, Average Loss  0.878452, Time  0.443469
2021-09-24 19:23:16.644714 : Epoch  2, Batch     40, Loss  0.876711, Average Loss  0.878347, Time  0.445036
2021-09-24 19:23:22.587812 : Epoch  2, Batch     41, Loss  0.876865, Average Loss  0.878403, Time  0.443844
2021-09-24 19:23:28.559012 : Epoch  2, Batch     42, Loss  0.877247, Average Loss  0.878381, Time  0.444246
2021-09-24 19:23:34.537210 : Epoch  2, Batch     43, Loss  0.886095, Average Loss  0.878383, Time  0.444736
2021-09-24 19:23:40.524774 : Epoch  2, Batch     44, Loss  0.891246, Average Loss  0.878428, Time  0.462907
2021-09-24 19:23:46.484427 : Epoch  2, Batch     45, Loss  0.874770, Average Loss  0.878412, Time  0.444402
2021-09-24 19:23:52.455558 : Epoch  2, Batch     46, Loss  0.886181, Average Loss  0.878472, Time  0.444577
2021-09-24 19:23:58.407367 : Epoch  2, Batch     47, Loss  0.892032, Average Loss  0.878510, Time  0.444126
2021-09-24 19:24:04.349744 : Epoch  2, Batch     48, Loss  0.865193, Average Loss  0.878528, Time  0.443730
2021-09-24 19:24:10.297613 : Epoch  2, Batch     49, Loss  0.868430, Average Loss  0.878471, Time  0.445365
2021-09-24 19:24:16.262457 : Epoch  2, Batch     50, Loss  0.878009, Average Loss  0.878364, Time  0.445805
2021-09-24 19:24:22.214414 : Epoch  2, Batch     51, Loss  0.875617, Average Loss  0.878407, Time  0.443888
2021-09-24 19:24:28.205086 : Epoch  2, Batch     52, Loss  0.867000, Average Loss  0.878353, Time  0.458244
2021-09-24 19:24:34.163201 : Epoch  2, Batch     53, Loss  0.874420, Average Loss  0.878285, Time  0.447785
2021-09-24 19:24:40.128795 : Epoch  2, Batch     54, Loss  0.881959, Average Loss  0.878296, Time  0.449564
2021-09-24 19:24:46.091517 : Epoch  2, Batch     55, Loss  0.881120, Average Loss  0.878347, Time  0.444581
2021-09-24 19:24:52.093473 : Epoch  2, Batch     56, Loss  0.874849, Average Loss  0.878269, Time  0.445822
2021-09-24 19:24:58.056288 : Epoch  2, Batch     57, Loss  0.872717, Average Loss  0.878293, Time  0.444233
2021-09-24 19:25:04.003809 : Epoch  2, Batch     58, Loss  0.856992, Average Loss  0.878208, Time  0.446394
2021-09-24 19:25:09.971849 : Epoch  2, Batch     59, Loss  0.882675, Average Loss  0.878204, Time  0.444640
2021-09-24 19:25:15.957178 : Epoch  2, Batch     60, Loss  0.875201, Average Loss  0.878220, Time  0.458625
2021-09-24 19:25:21.938227 : Epoch  2, Batch     61, Loss  0.867881, Average Loss  0.878197, Time  0.445478
2021-09-24 19:25:27.897324 : Epoch  2, Batch     62, Loss  0.872352, Average Loss  0.878104, Time  0.445927
2021-09-24 19:25:33.865868 : Epoch  2, Batch     63, Loss  0.872964, Average Loss  0.878018, Time  0.444714
2021-09-24 19:25:39.850429 : Epoch  2, Batch     64, Loss  0.872404, Average Loss  0.877981, Time  0.446310
2021-09-24 19:25:45.812660 : Epoch  2, Batch     65, Loss  0.875356, Average Loss  0.877983, Time  0.443863
2021-09-24 19:25:51.785709 : Epoch  2, Batch     66, Loss  0.882390, Average Loss  0.877995, Time  0.447593
2021-09-24 19:25:57.774104 : Epoch  2, Batch     67, Loss  0.877851, Average Loss  0.877935, Time  0.448660
2021-09-24 19:26:03.735035 : Epoch  2, Batch     68, Loss  0.859842, Average Loss  0.877841, Time  0.461119
2021-09-24 19:26:09.694763 : Epoch  2, Batch     69, Loss  0.874151, Average Loss  0.877847, Time  0.444116
2021-09-24 19:26:15.665561 : Epoch  2, Batch     70, Loss  0.893320, Average Loss  0.877883, Time  0.443849
2021-09-24 19:26:21.639524 : Epoch  2, Batch     71, Loss  0.883901, Average Loss  0.877839, Time  0.447633
2021-09-24 19:26:33.152511 : Epoch  2, Batch     72, Loss  0.876079, Average Loss  0.877838, Time  0.444458
2021-09-24 19:31:12.898514 : CheckPoint: Validation Loss  0.00014732, Best Loss  0.00014732
2021-09-24 19:31:12.941510 : Best Model Updated
2021-09-24 19:31:19.630883 : Epoch  2, Batch     73, Loss  0.854970, Average Loss  0.877724, Time  0.445515
2021-09-24 19:31:25.591554 : Epoch  2, Batch     74, Loss  0.863768, Average Loss  0.877622, Time  0.453770
2021-09-24 19:31:31.558825 : Epoch  2, Batch     75, Loss  0.881146, Average Loss  0.877696, Time  0.447546
2021-09-24 19:31:37.537023 : Epoch  2, Batch     76, Loss  0.879758, Average Loss  0.877756, Time  0.443893
2021-09-24 19:31:43.505466 : Epoch  2, Batch     77, Loss  0.891854, Average Loss  0.877858, Time  0.449250
2021-09-24 19:31:49.476862 : Epoch  2, Batch     78, Loss  0.875544, Average Loss  0.877821, Time  0.445516
2021-09-24 19:31:55.438278 : Epoch  2, Batch     79, Loss  0.873311, Average Loss  0.877747, Time  0.443545
2021-09-24 19:32:01.410135 : Epoch  2, Batch     80, Loss  0.867738, Average Loss  0.877728, Time  0.445767
2021-09-24 19:32:07.375984 : Epoch  2, Batch     81, Loss  0.883792, Average Loss  0.877814, Time  0.451111
2021-09-24 19:32:13.325710 : Epoch  2, Batch     82, Loss  0.888767, Average Loss  0.877907, Time  0.447661
2021-09-24 19:32:19.296431 : Epoch  2, Batch     83, Loss  0.871674, Average Loss  0.877943, Time  0.447209
2021-09-24 19:32:25.263573 : Epoch  2, Batch     84, Loss  0.880856, Average Loss  0.877972, Time  0.445187
2021-09-24 19:32:31.211706 : Epoch  2, Batch     85, Loss  0.871238, Average Loss  0.877977, Time  0.445758
2021-09-24 19:32:37.155169 : Epoch  2, Batch     86, Loss  0.877309, Average Loss  0.877987, Time  0.443889
2021-09-24 19:32:43.091268 : Epoch  2, Batch     87, Loss  0.882707, Average Loss  0.878006, Time  0.443516
2021-09-24 19:32:49.068588 : Epoch  2, Batch     88, Loss  0.865371, Average Loss  0.877895, Time  0.444444
2021-09-24 19:32:55.052547 : Epoch  2, Batch     89, Loss  0.883922, Average Loss  0.877922, Time  0.459314
2021-09-24 19:33:00.988313 : Epoch  2, Batch     90, Loss  0.858715, Average Loss  0.877850, Time  0.445834
2021-09-24 19:33:06.917129 : Epoch  2, Batch     91, Loss  0.880701, Average Loss  0.877875, Time  0.444953
2021-09-24 19:33:12.877678 : Epoch  2, Batch     92, Loss  0.880993, Average Loss  0.877935, Time  0.444875
2021-09-24 19:33:18.824442 : Epoch  2, Batch     93, Loss  0.878858, Average Loss  0.878010, Time  0.446317
2021-09-24 19:33:24.740447 : Epoch  2, Batch     94, Loss  0.875770, Average Loss  0.877936, Time  0.444465
2021-09-24 19:33:30.687435 : Epoch  2, Batch     95, Loss  0.869591, Average Loss  0.877870, Time  0.444442
2021-09-24 19:33:36.648567 : Epoch  2, Batch     96, Loss  0.877648, Average Loss  0.877851, Time  0.444631
2021-09-24 19:33:42.619859 : Epoch  2, Batch     97, Loss  0.865657, Average Loss  0.877798, Time  0.450534
2021-09-24 19:33:48.566653 : Epoch  2, Batch     98, Loss  0.866685, Average Loss  0.877760, Time  0.443108
2021-09-24 19:33:54.527973 : Epoch  2, Batch     99, Loss  0.856492, Average Loss  0.877703, Time  0.446772
2021-09-24 19:34:00.481168 : Epoch  2, Batch    100, Loss  0.865093, Average Loss  0.877640, Time  0.443784
2021-09-24 19:34:06.435872 : Epoch  2, Batch    101, Loss  0.880797, Average Loss  0.877722, Time  0.448887
2021-09-24 19:34:12.387960 : Epoch  2, Batch    102, Loss  0.881105, Average Loss  0.877704, Time  0.444307
2021-09-24 19:34:18.335113 : Epoch  2, Batch    103, Loss  0.876708, Average Loss  0.877702, Time  0.445057
2021-09-24 19:34:24.282243 : Epoch  2, Batch    104, Loss  0.862203, Average Loss  0.877626, Time  0.464806
2021-09-24 19:34:30.221646 : Epoch  2, Batch    105, Loss  0.867511, Average Loss  0.877558, Time  0.444350
2021-09-24 19:34:36.184016 : Epoch  2, Batch    106, Loss  0.861117, Average Loss  0.877381, Time  0.444340
2021-09-24 19:34:42.114263 : Epoch  2, Batch    107, Loss  0.869563, Average Loss  0.877313, Time  0.444488
2021-09-24 19:34:48.037002 : Epoch  2, Batch    108, Loss  0.894805, Average Loss  0.877359, Time  0.445961
2021-09-24 19:34:53.994741 : Epoch  2, Batch    109, Loss  0.862268, Average Loss  0.877345, Time  0.444515
2021-09-24 19:34:59.958287 : Epoch  2, Batch    110, Loss  0.883865, Average Loss  0.877414, Time  0.446754
2021-09-24 19:35:05.904634 : Epoch  2, Batch    111, Loss  0.887351, Average Loss  0.877459, Time  0.447067
2021-09-24 19:35:11.866630 : Epoch  2, Batch    112, Loss  0.886147, Average Loss  0.877492, Time  0.452747
2021-09-24 19:35:17.814616 : Epoch  2, Batch    113, Loss  0.864172, Average Loss  0.877376, Time  0.444671
2021-09-24 19:35:23.763112 : Epoch  2, Batch    114, Loss  0.871256, Average Loss  0.877345, Time  0.444848
2021-09-24 19:35:29.703056 : Epoch  2, Batch    115, Loss  0.884068, Average Loss  0.877363, Time  0.446096
2021-09-24 19:35:35.663766 : Epoch  2, Batch    116, Loss  0.880428, Average Loss  0.877435, Time  0.443852
2021-09-24 19:35:41.641926 : Epoch  2, Batch    117, Loss  0.889236, Average Loss  0.877509, Time  0.444490
2021-09-24 19:35:47.579887 : Epoch  2, Batch    118, Loss  0.878126, Average Loss  0.877512, Time  0.444857
2021-09-24 19:35:53.534850 : Epoch  2, Batch    119, Loss  0.867087, Average Loss  0.877383, Time  0.447012
2021-09-24 19:35:59.490574 : Epoch  2, Batch    120, Loss  0.888464, Average Loss  0.877437, Time  0.452356
2021-09-24 19:36:05.444581 : Epoch  2, Batch    121, Loss  0.868358, Average Loss  0.877430, Time  0.444432
2021-09-24 19:36:11.403312 : Epoch  2, Batch    122, Loss  0.869159, Average Loss  0.877424, Time  0.451694
2021-09-24 19:36:17.376310 : Epoch  2, Batch    123, Loss  0.877077, Average Loss  0.877430, Time  0.443768
2021-09-24 19:36:23.326089 : Epoch  2, Batch    124, Loss  0.878251, Average Loss  0.877437, Time  0.445309
2021-09-24 19:36:29.260851 : Epoch  2, Batch    125, Loss  0.867743, Average Loss  0.877389, Time  0.445201
2021-09-24 19:36:35.204044 : Epoch  2, Batch    126, Loss  0.870454, Average Loss  0.877406, Time  0.443642
2021-09-24 19:36:41.141696 : Epoch  2, Batch    127, Loss  0.894329, Average Loss  0.877464, Time  0.443336
2021-09-24 19:36:47.103722 : Epoch  2, Batch    128, Loss  0.862456, Average Loss  0.877384, Time  0.456385
2021-09-24 19:36:53.057072 : Epoch  2, Batch    129, Loss  0.890734, Average Loss  0.877389, Time  0.444813
2021-09-24 19:36:59.022125 : Epoch  2, Batch    130, Loss  0.871992, Average Loss  0.877322, Time  0.444909
2021-09-24 19:37:04.946758 : Epoch  2, Batch    131, Loss  0.867142, Average Loss  0.877224, Time  0.444340
2021-09-24 19:37:10.903816 : Epoch  2, Batch    132, Loss  0.856914, Average Loss  0.877109, Time  0.443428
2021-09-24 19:37:16.820196 : Epoch  2, Batch    133, Loss  0.879623, Average Loss  0.877078, Time  0.443391
2021-09-24 19:37:22.781831 : Epoch  2, Batch    134, Loss  0.873042, Average Loss  0.877016, Time  0.443619
2021-09-24 19:37:28.733336 : Epoch  2, Batch    135, Loss  0.880672, Average Loss  0.877040, Time  0.443789
2021-09-24 19:37:34.704581 : Epoch  2, Batch    136, Loss  0.872097, Average Loss  0.876994, Time  0.456343
2021-09-24 19:37:40.675018 : Epoch  2, Batch    137, Loss  0.882601, Average Loss  0.876969, Time  0.448289
2021-09-24 19:37:46.636011 : Epoch  2, Batch    138, Loss  0.866096, Average Loss  0.876878, Time  0.443402
2021-09-24 19:37:52.628186 : Epoch  2, Batch    139, Loss  0.881469, Average Loss  0.876861, Time  0.447078
2021-09-24 19:37:58.587679 : Epoch  2, Batch    140, Loss  0.887114, Average Loss  0.876888, Time  0.445060
2021-09-24 19:38:04.551851 : Epoch  2, Batch    141, Loss  0.877985, Average Loss  0.876914, Time  0.444941
2021-09-24 19:38:10.526474 : Epoch  2, Batch    142, Loss  0.887446, Average Loss  0.876957, Time  0.451924
2021-09-24 19:38:16.490426 : Epoch  2, Batch    143, Loss  0.881090, Average Loss  0.876956, Time  0.457263
2021-09-24 19:38:22.431628 : Epoch  2, Batch    144, Loss  0.885555, Average Loss  0.877009, Time  0.444041
2021-09-24 19:38:28.375420 : Epoch  2, Batch    145, Loss  0.876035, Average Loss  0.876971, Time  0.444557
2021-09-24 19:38:34.328755 : Epoch  2, Batch    146, Loss  0.875032, Average Loss  0.876959, Time  0.444393
2021-09-24 19:38:40.259554 : Epoch  2, Batch    147, Loss  0.863715, Average Loss  0.876942, Time  0.448071
2021-09-24 19:38:46.195387 : Epoch  2, Batch    148, Loss  0.880909, Average Loss  0.876918, Time  0.444085
2021-09-24 19:38:52.151552 : Epoch  2, Batch    149, Loss  0.886150, Average Loss  0.876950, Time  0.445142
2021-09-24 19:38:58.075314 : Epoch  2, Batch    150, Loss  0.882641, Average Loss  0.877021, Time  0.443869
2021-09-24 19:39:04.035124 : Epoch  2, Batch    151, Loss  0.863159, Average Loss  0.876919, Time  0.462493
2021-09-24 19:39:09.994179 : Epoch  2, Batch    152, Loss  0.884418, Average Loss  0.876953, Time  0.447679
2021-09-24 19:39:15.930802 : Epoch  2, Batch    153, Loss  0.888331, Average Loss  0.876993, Time  0.447190
2021-09-24 19:39:21.884241 : Epoch  2, Batch    154, Loss  0.889434, Average Loss  0.877111, Time  0.445904
2021-09-24 19:39:27.825030 : Epoch  2, Batch    155, Loss  0.886927, Average Loss  0.877148, Time  0.445984
2021-09-24 19:39:33.779945 : Epoch  2, Batch    156, Loss  0.889367, Average Loss  0.877202, Time  0.447401
2021-09-24 19:39:39.733220 : Epoch  2, Batch    157, Loss  0.889914, Average Loss  0.877335, Time  0.450150
2021-09-24 19:39:45.678032 : Epoch  2, Batch    158, Loss  0.876944, Average Loss  0.877389, Time  0.444167
2021-09-24 19:39:51.665840 : Epoch  2, Batch    159, Loss  0.882989, Average Loss  0.877433, Time  0.462948
2021-09-24 19:39:57.602459 : Epoch  2, Batch    160, Loss  0.885038, Average Loss  0.877523, Time  0.446363
2021-09-24 19:40:03.542408 : Epoch  2, Batch    161, Loss  0.879898, Average Loss  0.877603, Time  0.444205
2021-09-24 19:40:09.478833 : Epoch  2, Batch    162, Loss  0.872454, Average Loss  0.877551, Time  0.444597
2021-09-24 19:40:15.459495 : Epoch  2, Batch    163, Loss  0.874079, Average Loss  0.877532, Time  0.444039
2021-09-24 19:40:21.429504 : Epoch  2, Batch    164, Loss  0.878983, Average Loss  0.877536, Time  0.447033
2021-09-24 19:40:27.368813 : Epoch  2, Batch    165, Loss  0.876064, Average Loss  0.877516, Time  0.443430
2021-09-24 19:40:33.336239 : Epoch  2, Batch    166, Loss  0.868331, Average Loss  0.877509, Time  0.462383
2021-09-24 19:40:39.285142 : Epoch  2, Batch    167, Loss  0.866955, Average Loss  0.877385, Time  0.444387
2021-09-24 19:40:45.255110 : Epoch  2, Batch    168, Loss  0.866136, Average Loss  0.877335, Time  0.444160
2021-09-24 19:40:51.208774 : Epoch  2, Batch    169, Loss  0.891315, Average Loss  0.877289, Time  0.445576
2021-09-24 19:40:57.159403 : Epoch  2, Batch    170, Loss  0.870998, Average Loss  0.877265, Time  0.444366
2021-09-24 19:41:03.118106 : Epoch  2, Batch    171, Loss  0.878943, Average Loss  0.877327, Time  0.447016
2021-09-24 19:41:09.084528 : Epoch  2, Batch    172, Loss  0.874048, Average Loss  0.877356, Time  0.448671
2021-09-24 19:45:47.478784 : CheckPoint: Validation Loss  0.00015043, Best Loss  0.00014732
2021-09-24 19:45:53.436900 : Epoch  2, Batch    173, Loss  0.877194, Average Loss  0.877333, Time  0.443203
2021-09-24 19:45:59.458805 : Epoch  2, Batch    174, Loss  0.885055, Average Loss  0.877364, Time  0.453546
2021-09-24 19:46:05.472652 : Epoch  2, Batch    175, Loss  0.875253, Average Loss  0.877351, Time  0.447862
2021-09-24 19:46:11.487541 : Epoch  2, Batch    176, Loss  0.876350, Average Loss  0.877396, Time  0.444404
2021-09-24 19:46:17.495274 : Epoch  2, Batch    177, Loss  0.869016, Average Loss  0.877342, Time  0.446311
2021-09-24 19:46:23.473695 : Epoch  2, Batch    178, Loss  0.878558, Average Loss  0.877294, Time  0.444153
2021-09-24 19:46:29.453472 : Epoch  2, Batch    179, Loss  0.883677, Average Loss  0.877265, Time  0.445101
2021-09-24 19:46:35.467745 : Epoch  2, Batch    180, Loss  0.879540, Average Loss  0.877282, Time  0.447337
2021-09-24 19:46:41.485104 : Epoch  2, Batch    181, Loss  0.876907, Average Loss  0.877243, Time  0.459790
2021-09-24 19:46:47.460186 : Epoch  2, Batch    182, Loss  0.880361, Average Loss  0.877251, Time  0.446609
2021-09-24 19:46:53.462614 : Epoch  2, Batch    183, Loss  0.884192, Average Loss  0.877179, Time  0.446564
2021-09-24 19:46:59.457551 : Epoch  2, Batch    184, Loss  0.867874, Average Loss  0.877139, Time  0.451207
2021-09-24 19:47:05.486098 : Epoch  2, Batch    185, Loss  0.874577, Average Loss  0.877048, Time  0.445693
2021-09-24 19:47:11.516391 : Epoch  2, Batch    186, Loss  0.865717, Average Loss  0.876975, Time  0.444411
2021-09-24 19:47:17.530508 : Epoch  2, Batch    187, Loss  0.891791, Average Loss  0.876995, Time  0.445607
2021-09-24 19:47:23.525230 : Epoch  2, Batch    188, Loss  0.887076, Average Loss  0.877021, Time  0.443637
2021-09-24 19:47:29.523343 : Epoch  2, Batch    189, Loss  0.882978, Average Loss  0.877064, Time  0.455577
2021-09-24 19:47:35.555614 : Epoch  2, Batch    190, Loss  0.880846, Average Loss  0.877030, Time  0.446718
2021-09-24 19:47:41.542194 : Epoch  2, Batch    191, Loss  0.865154, Average Loss  0.876941, Time  0.447101
2021-09-24 19:47:47.540677 : Epoch  2, Batch    192, Loss  0.889977, Average Loss  0.876996, Time  0.444838
2021-09-24 19:47:53.550110 : Epoch  2, Batch    193, Loss  0.867608, Average Loss  0.876959, Time  0.445392
2021-09-24 19:47:59.534380 : Epoch  2, Batch    194, Loss  0.882251, Average Loss  0.877063, Time  0.443793
2021-09-24 19:48:05.555155 : Epoch  2, Batch    195, Loss  0.875657, Average Loss  0.877007, Time  0.443996
2021-09-24 19:48:11.581338 : Epoch  2, Batch    196, Loss  0.881303, Average Loss  0.876988, Time  0.459378
2021-09-24 19:48:17.567928 : Epoch  2, Batch    197, Loss  0.868702, Average Loss  0.876953, Time  0.446548
2021-09-24 19:48:23.561889 : Epoch  2, Batch    198, Loss  0.878288, Average Loss  0.876974, Time  0.444903
2021-09-24 19:48:29.523890 : Epoch  2, Batch    199, Loss  0.872245, Average Loss  0.877020, Time  0.444730
2021-09-24 19:48:35.529522 : Epoch  2, Batch    200, Loss  0.873653, Average Loss  0.876971, Time  0.444482
2021-09-24 19:48:41.513643 : Epoch  2, Batch    201, Loss  0.871304, Average Loss  0.876945, Time  0.443527
2021-09-24 19:48:47.525030 : Epoch  2, Batch    202, Loss  0.888208, Average Loss  0.877006, Time  0.444664
2021-09-24 19:48:53.542552 : Epoch  2, Batch    203, Loss  0.861886, Average Loss  0.877009, Time  0.444450
2021-09-24 19:48:59.579851 : Epoch  2, Batch    204, Loss  0.853323, Average Loss  0.876905, Time  0.460818
2021-09-24 19:49:05.580868 : Epoch  2, Batch    205, Loss  0.873374, Average Loss  0.876871, Time  0.447078
2021-09-24 19:49:11.568450 : Epoch  2, Batch    206, Loss  0.873336, Average Loss  0.876789, Time  0.443962
2021-09-24 19:49:17.579784 : Epoch  2, Batch    207, Loss  0.885679, Average Loss  0.876844, Time  0.443617
2021-09-24 19:49:23.536864 : Epoch  2, Batch    208, Loss  0.859326, Average Loss  0.876803, Time  0.443257
2021-09-24 19:49:29.523474 : Epoch  2, Batch    209, Loss  0.879405, Average Loss  0.876780, Time  0.444134
2021-09-24 19:49:35.541790 : Epoch  2, Batch    210, Loss  0.860073, Average Loss  0.876659, Time  0.444076
2021-09-24 19:49:41.532862 : Epoch  2, Batch    211, Loss  0.886724, Average Loss  0.876652, Time  0.454909
2021-09-24 19:49:47.530609 : Epoch  2, Batch    212, Loss  0.880215, Average Loss  0.876648, Time  0.444696
2021-09-24 19:49:53.571858 : Epoch  2, Batch    213, Loss  0.882048, Average Loss  0.876573, Time  0.444015
2021-09-24 19:49:59.605427 : Epoch  2, Batch    214, Loss  0.872813, Average Loss  0.876577, Time  0.443775
2021-09-24 19:50:05.633692 : Epoch  2, Batch    215, Loss  0.881702, Average Loss  0.876559, Time  0.444640
2021-09-24 19:50:11.619507 : Epoch  2, Batch    216, Loss  0.885533, Average Loss  0.876609, Time  0.444813
2021-09-24 19:50:17.625314 : Epoch  2, Batch    217, Loss  0.870975, Average Loss  0.876512, Time  0.447123
2021-09-24 19:50:23.674844 : Epoch  2, Batch    218, Loss  0.863899, Average Loss  0.876434, Time  0.450386
2021-09-24 19:50:29.709640 : Epoch  2, Batch    219, Loss  0.871399, Average Loss  0.876396, Time  0.452129
2021-09-24 19:50:35.727503 : Epoch  2, Batch    220, Loss  0.883975, Average Loss  0.876419, Time  0.448009
2021-09-24 19:50:41.737621 : Epoch  2, Batch    221, Loss  0.865217, Average Loss  0.876352, Time  0.445367
2021-09-24 19:50:47.734022 : Epoch  2, Batch    222, Loss  0.875540, Average Loss  0.876379, Time  0.448242
2021-09-24 19:50:53.719798 : Epoch  2, Batch    223, Loss  0.890252, Average Loss  0.876414, Time  0.446262
2021-09-24 19:50:59.681786 : Epoch  2, Batch    224, Loss  0.880231, Average Loss  0.876444, Time  0.446695
2021-09-24 19:51:05.650383 : Epoch  2, Batch    225, Loss  0.863353, Average Loss  0.876279, Time  0.443738
2021-09-24 19:51:11.651179 : Epoch  2, Batch    226, Loss  0.879823, Average Loss  0.876317, Time  0.448816
2021-09-24 19:51:17.631262 : Epoch  2, Batch    227, Loss  0.874380, Average Loss  0.876259, Time  0.443799
2021-09-24 19:51:23.606292 : Epoch  2, Batch    228, Loss  0.870374, Average Loss  0.876195, Time  0.444861
2021-09-24 19:51:29.603145 : Epoch  2, Batch    229, Loss  0.876911, Average Loss  0.876169, Time  0.443579
2021-09-24 19:51:35.623533 : Epoch  2, Batch    230, Loss  0.864038, Average Loss  0.876205, Time  0.450644
2021-09-24 19:51:41.606311 : Epoch  2, Batch    231, Loss  0.877746, Average Loss  0.876180, Time  0.443512
2021-09-24 19:51:47.619381 : Epoch  2, Batch    232, Loss  0.880061, Average Loss  0.876180, Time  0.445669
2021-09-24 19:51:53.636795 : Epoch  2, Batch    233, Loss  0.873243, Average Loss  0.876221, Time  0.443528
2021-09-24 19:51:59.634626 : Epoch  2, Batch    234, Loss  0.885587, Average Loss  0.876167, Time  0.457845
2021-09-24 19:52:05.612178 : Epoch  2, Batch    235, Loss  0.881645, Average Loss  0.876255, Time  0.446377
2021-09-24 19:52:11.595421 : Epoch  2, Batch    236, Loss  0.877632, Average Loss  0.876262, Time  0.442790
2021-09-24 19:52:17.628324 : Epoch  2, Batch    237, Loss  0.872386, Average Loss  0.876298, Time  0.444068
2021-09-24 19:52:23.592615 : Epoch  2, Batch    238, Loss  0.877502, Average Loss  0.876259, Time  0.443513
2021-09-24 19:52:29.580721 : Epoch  2, Batch    239, Loss  0.874690, Average Loss  0.876281, Time  0.445663
2021-09-24 19:52:35.602389 : Epoch  2, Batch    240, Loss  0.893458, Average Loss  0.876365, Time  0.444497
2021-09-24 19:52:41.641054 : Epoch  2, Batch    241, Loss  0.873557, Average Loss  0.876348, Time  0.456834
2021-09-24 19:52:47.649019 : Epoch  2, Batch    242, Loss  0.872736, Average Loss  0.876326, Time  0.447018
2021-09-24 19:52:53.531259 : Epoch  2, Batch    243, Loss  0.880231, Average Loss  0.876297, Time  0.441617
2021-09-24 19:52:59.231039 : Epoch  2, Batch    244, Loss  0.891033, Average Loss  0.876295, Time  0.441478
2021-09-24 19:53:04.760572 : Epoch  2, Batch    245, Loss  0.872335, Average Loss  0.876283, Time  0.442090
2021-09-24 19:53:10.339224 : Epoch  2, Batch    246, Loss  0.859462, Average Loss  0.876150, Time  0.440467
2021-09-24 19:53:16.057773 : Epoch  2, Batch    247, Loss  0.878463, Average Loss  0.876082, Time  0.443980
2021-09-24 19:53:21.812503 : Epoch  2, Batch    248, Loss  0.854333, Average Loss  0.876028, Time  0.441570
2021-09-24 19:53:27.489969 : Epoch  2, Batch    249, Loss  0.874633, Average Loss  0.876059, Time  0.441708
2021-09-24 19:53:33.072794 : Epoch  2, Batch    250, Loss  0.887534, Average Loss  0.876106, Time  0.458025
2021-09-24 19:53:38.707610 : Epoch  2, Batch    251, Loss  0.875242, Average Loss  0.876104, Time  0.440943
2021-09-24 19:53:44.283311 : Epoch  2, Batch    252, Loss  0.879218, Average Loss  0.876165, Time  0.441331
2021-09-24 19:53:49.786283 : Epoch  2, Batch    253, Loss  0.864506, Average Loss  0.876116, Time  0.440717
2021-09-24 19:53:55.310149 : Epoch  2, Batch    254, Loss  0.878810, Average Loss  0.876100, Time  0.443446
2021-09-24 19:54:00.851961 : Epoch  2, Batch    255, Loss  0.880290, Average Loss  0.876096, Time  0.441599
2021-09-24 19:54:06.500792 : Epoch  2, Batch    256, Loss  0.861656, Average Loss  0.876030, Time  0.441942
2021-09-24 19:54:12.154567 : Epoch  2, Batch    257, Loss  0.864178, Average Loss  0.875987, Time  0.442118
2021-09-24 19:54:17.804424 : Epoch  2, Batch    258, Loss  0.875971, Average Loss  0.876082, Time  0.449826
2021-09-24 19:54:23.457298 : Epoch  2, Batch    259, Loss  0.862418, Average Loss  0.875981, Time  0.442239
2021-09-24 19:54:29.126135 : Epoch  2, Batch    260, Loss  0.877959, Average Loss  0.875995, Time  0.442372
2021-09-24 19:54:34.766398 : Epoch  2, Batch    261, Loss  0.870182, Average Loss  0.876006, Time  0.443796
2021-09-24 19:54:40.366481 : Epoch  2, Batch    262, Loss  0.865065, Average Loss  0.875970, Time  0.440683
2021-09-24 19:54:45.991846 : Epoch  2, Batch    263, Loss  0.884853, Average Loss  0.876029, Time  0.442224
2021-09-24 19:54:51.696870 : Epoch  2, Batch    264, Loss  0.858847, Average Loss  0.875961, Time  0.441521
2021-09-24 19:54:57.329976 : Epoch  2, Batch    265, Loss  0.876651, Average Loss  0.875968, Time  0.441321
2021-09-24 19:55:02.983939 : Epoch  2, Batch    266, Loss  0.872289, Average Loss  0.875917, Time  0.456531
2021-09-24 19:55:08.616748 : Epoch  2, Batch    267, Loss  0.850583, Average Loss  0.875781, Time  0.441784
2021-09-24 19:55:14.205931 : Epoch  2, Batch    268, Loss  0.869209, Average Loss  0.875828, Time  0.442949
2021-09-24 19:55:19.856971 : Epoch  2, Batch    269, Loss  0.879595, Average Loss  0.875855, Time  0.441280
2021-09-24 19:55:25.551376 : Epoch  2, Batch    270, Loss  0.889393, Average Loss  0.875835, Time  0.443294
2021-09-24 19:55:31.101630 : Epoch  2, Batch    271, Loss  0.877158, Average Loss  0.875802, Time  0.440600
2021-09-24 19:55:36.651017 : Epoch  2, Batch    272, Loss  0.881936, Average Loss  0.875831, Time  0.443763
2021-09-24 20:00:04.092512 : CheckPoint: Validation Loss  0.00015105, Best Loss  0.00014732
2021-09-24 20:00:09.873212 : Epoch  2, Batch    273, Loss  0.871416, Average Loss  0.875913, Time  0.443033
2021-09-24 20:00:15.497815 : Epoch  2, Batch    274, Loss  0.878008, Average Loss  0.875984, Time  0.443126
2021-09-24 20:00:21.177204 : Epoch  2, Batch    275, Loss  0.869765, Average Loss  0.875928, Time  0.444839
2021-09-24 20:00:26.861705 : Epoch  2, Batch    276, Loss  0.853379, Average Loss  0.875796, Time  0.443785
2021-09-24 20:00:32.477003 : Epoch  2, Batch    277, Loss  0.881532, Average Loss  0.875744, Time  0.451553
2021-09-24 20:00:38.070217 : Epoch  2, Batch    278, Loss  0.880992, Average Loss  0.875771, Time  0.441682
2021-09-24 20:00:43.708351 : Epoch  2, Batch    279, Loss  0.881720, Average Loss  0.875813, Time  0.441766
2021-09-24 20:00:49.372373 : Epoch  2, Batch    280, Loss  0.894904, Average Loss  0.875949, Time  0.443269
2021-09-24 20:00:55.050351 : Epoch  2, Batch    281, Loss  0.874962, Average Loss  0.875905, Time  0.442441
2021-09-24 20:01:00.744876 : Epoch  2, Batch    282, Loss  0.881486, Average Loss  0.875869, Time  0.444286
2021-09-24 20:01:06.436824 : Epoch  2, Batch    283, Loss  0.886412, Average Loss  0.875942, Time  0.442364
2021-09-24 20:01:12.104374 : Epoch  2, Batch    284, Loss  0.889322, Average Loss  0.875985, Time  0.442607
2021-09-24 20:01:17.735776 : Epoch  2, Batch    285, Loss  0.869097, Average Loss  0.875974, Time  0.454262
2021-09-24 20:01:23.394393 : Epoch  2, Batch    286, Loss  0.879349, Average Loss  0.875984, Time  0.443621
2021-09-24 20:01:29.060978 : Epoch  2, Batch    287, Loss  0.875236, Average Loss  0.875947, Time  0.444881
2021-09-24 20:01:34.803719 : Epoch  2, Batch    288, Loss  0.870871, Average Loss  0.875974, Time  0.442544
2021-09-24 20:01:40.548083 : Epoch  2, Batch    289, Loss  0.872197, Average Loss  0.875916, Time  0.442434
2021-09-24 20:01:46.173495 : Epoch  2, Batch    290, Loss  0.878009, Average Loss  0.876012, Time  0.443490
2021-09-24 20:01:51.780421 : Epoch  2, Batch    291, Loss  0.874802, Average Loss  0.875983, Time  0.442575
2021-09-24 20:01:57.396043 : Epoch  2, Batch    292, Loss  0.880527, Average Loss  0.875980, Time  0.443523
2021-09-24 20:02:03.019421 : Epoch  2, Batch    293, Loss  0.874965, Average Loss  0.875961, Time  0.454731
2021-09-24 20:02:08.685892 : Epoch  2, Batch    294, Loss  0.878883, Average Loss  0.875976, Time  0.444513
2021-09-24 20:02:14.347743 : Epoch  2, Batch    295, Loss  0.868055, Average Loss  0.875969, Time  0.444098
2021-09-24 20:02:20.004840 : Epoch  2, Batch    296, Loss  0.874665, Average Loss  0.875954, Time  0.444140
2021-09-24 20:02:25.668880 : Epoch  2, Batch    297, Loss  0.875110, Average Loss  0.876001, Time  0.443593
2021-09-24 20:02:31.376363 : Epoch  2, Batch    298, Loss  0.882759, Average Loss  0.876081, Time  0.442573
2021-09-24 20:02:36.972378 : Epoch  2, Batch    299, Loss  0.856677, Average Loss  0.876082, Time  0.443097
2021-09-24 20:02:42.628707 : Epoch  2, Batch    300, Loss  0.869764, Average Loss  0.876106, Time  0.442227
2021-09-24 20:02:48.282638 : Epoch  2, Batch    301, Loss  0.857839, Average Loss  0.875991, Time  0.454560
2021-09-24 20:02:53.899181 : Epoch  2, Batch    302, Loss  0.867266, Average Loss  0.875922, Time  0.441960
2021-09-24 20:02:59.516068 : Epoch  2, Batch    303, Loss  0.861190, Average Loss  0.875844, Time  0.443249
2021-09-24 20:03:05.271626 : Epoch  2, Batch    304, Loss  0.873134, Average Loss  0.875899, Time  0.441941
2021-09-24 20:03:10.944939 : Epoch  2, Batch    305, Loss  0.879894, Average Loss  0.875961, Time  0.443300
2021-09-24 20:03:16.615768 : Epoch  2, Batch    306, Loss  0.884933, Average Loss  0.876080, Time  0.442526
2021-09-24 20:03:22.288818 : Epoch  2, Batch    307, Loss  0.889200, Average Loss  0.876178, Time  0.442082
2021-09-24 20:03:27.882224 : Epoch  2, Batch    308, Loss  0.885133, Average Loss  0.876130, Time  0.442451
2021-09-24 20:03:33.552022 : Epoch  2, Batch    309, Loss  0.876767, Average Loss  0.876202, Time  0.458495
2021-09-24 20:03:39.257723 : Epoch  2, Batch    310, Loss  0.866509, Average Loss  0.876115, Time  0.443725
2021-09-24 20:03:44.930632 : Epoch  2, Batch    311, Loss  0.879509, Average Loss  0.876076, Time  0.442652
2021-09-24 20:03:50.511878 : Epoch  2, Batch    312, Loss  0.875019, Average Loss  0.876020, Time  0.444161
2021-09-24 20:03:56.135862 : Epoch  2, Batch    313, Loss  0.880419, Average Loss  0.876102, Time  0.442316
2021-09-24 20:04:01.839980 : Epoch  2, Batch    314, Loss  0.882370, Average Loss  0.876157, Time  0.442462
2021-09-24 20:04:07.497883 : Epoch  2, Batch    315, Loss  0.877355, Average Loss  0.876124, Time  0.441760
2021-09-24 20:04:13.126789 : Epoch  2, Batch    316, Loss  0.871044, Average Loss  0.876077, Time  0.443805
2021-09-24 20:04:18.803396 : Epoch  2, Batch    317, Loss  0.876743, Average Loss  0.876014, Time  0.458312
2021-09-24 20:04:24.460130 : Epoch  2, Batch    318, Loss  0.869818, Average Loss  0.875973, Time  0.443276
2021-09-24 20:04:30.077642 : Epoch  2, Batch    319, Loss  0.887248, Average Loss  0.876074, Time  0.444167
2021-09-24 20:04:35.713806 : Epoch  2, Batch    320, Loss  0.878503, Average Loss  0.876024, Time  0.443375
2021-09-24 20:04:41.381194 : Epoch  2, Batch    321, Loss  0.883814, Average Loss  0.876101, Time  0.443091
2021-09-24 20:04:47.008877 : Epoch  2, Batch    322, Loss  0.869452, Average Loss  0.876103, Time  0.443381
2021-09-24 20:04:52.655858 : Epoch  2, Batch    323, Loss  0.870859, Average Loss  0.876071, Time  0.444662
2021-09-24 20:04:58.255954 : Epoch  2, Batch    324, Loss  0.887926, Average Loss  0.876120, Time  0.442240
2021-09-24 20:05:03.956029 : Epoch  2, Batch    325, Loss  0.878706, Average Loss  0.876175, Time  0.459657
2021-09-24 20:05:09.574926 : Epoch  2, Batch    326, Loss  0.874858, Average Loss  0.876197, Time  0.443313
2021-09-24 20:05:15.241327 : Epoch  2, Batch    327, Loss  0.879648, Average Loss  0.876123, Time  0.444175
2021-09-24 20:05:20.947991 : Epoch  2, Batch    328, Loss  0.858442, Average Loss  0.876103, Time  0.444910
2021-09-24 20:05:26.583486 : Epoch  2, Batch    329, Loss  0.877543, Average Loss  0.876037, Time  0.442732
2021-09-24 20:05:32.247391 : Epoch  2, Batch    330, Loss  0.866304, Average Loss  0.876009, Time  0.442881
2021-09-24 20:05:37.985107 : Epoch  2, Batch    331, Loss  0.870106, Average Loss  0.876024, Time  0.442248
2021-09-24 20:05:43.651442 : Epoch  2, Batch    332, Loss  0.862419, Average Loss  0.876051, Time  0.442729
2021-09-24 20:05:49.313918 : Epoch  2, Batch    333, Loss  0.874365, Average Loss  0.876025, Time  0.452641
2021-09-24 20:05:54.998670 : Epoch  2, Batch    334, Loss  0.880654, Average Loss  0.876063, Time  0.441895
2021-09-24 20:06:00.643260 : Epoch  2, Batch    335, Loss  0.881967, Average Loss  0.876069, Time  0.443001
2021-09-24 20:06:06.337013 : Epoch  2, Batch    336, Loss  0.878101, Average Loss  0.876099, Time  0.444775
2021-09-24 20:06:12.277695 : Epoch  2, Batch    337, Loss  0.864952, Average Loss  0.876011, Time  0.471109
2021-09-24 20:06:18.030292 : Epoch  2, Batch    338, Loss  0.892978, Average Loss  0.876146, Time  0.444095
2021-09-24 20:06:23.690044 : Epoch  2, Batch    339, Loss  0.870901, Average Loss  0.876093, Time  0.442775
2021-09-24 20:06:29.360020 : Epoch  2, Batch    340, Loss  0.878791, Average Loss  0.876051, Time  0.442987
2021-09-24 20:06:35.057477 : Epoch  2, Batch    341, Loss  0.869897, Average Loss  0.876011, Time  0.456329
2021-09-24 20:06:40.672482 : Epoch  2, Batch    342, Loss  0.868720, Average Loss  0.875917, Time  0.444019
2021-09-24 20:06:46.368626 : Epoch  2, Batch    343, Loss  0.866478, Average Loss  0.875844, Time  0.443431
2021-09-24 20:06:51.973256 : Epoch  2, Batch    344, Loss  0.890182, Average Loss  0.875867, Time  0.443473
2021-09-24 20:06:57.701859 : Epoch  2, Batch    345, Loss  0.878904, Average Loss  0.875881, Time  0.444517
2021-09-24 20:07:03.352897 : Epoch  2, Batch    346, Loss  0.863321, Average Loss  0.875823, Time  0.443017
2021-09-24 20:07:09.023650 : Epoch  2, Batch    347, Loss  0.872003, Average Loss  0.875864, Time  0.442105
2021-09-24 20:07:14.670796 : Epoch  2, Batch    348, Loss  0.866951, Average Loss  0.875795, Time  0.443063
2021-09-24 20:07:20.307892 : Epoch  2, Batch    349, Loss  0.885625, Average Loss  0.875792, Time  0.457260
2021-09-24 20:07:26.002035 : Epoch  2, Batch    350, Loss  0.860813, Average Loss  0.875683, Time  0.443026
2021-09-24 20:07:31.638783 : Epoch  2, Batch    351, Loss  0.871943, Average Loss  0.875727, Time  0.441814
2021-09-24 20:07:37.301789 : Epoch  2, Batch    352, Loss  0.865106, Average Loss  0.875630, Time  0.445148
2021-09-24 20:07:42.956690 : Epoch  2, Batch    353, Loss  0.874369, Average Loss  0.875560, Time  0.442083
2021-09-24 20:07:48.654394 : Epoch  2, Batch    354, Loss  0.887447, Average Loss  0.875550, Time  0.445334
2021-09-24 20:07:54.322812 : Epoch  2, Batch    355, Loss  0.892280, Average Loss  0.875577, Time  0.442924
2021-09-24 20:07:59.936987 : Epoch  2, Batch    356, Loss  0.872870, Average Loss  0.875495, Time  0.443075
2021-09-24 20:08:05.623443 : Epoch  2, Batch    357, Loss  0.856340, Average Loss  0.875327, Time  0.456579
2021-09-24 20:08:11.298362 : Epoch  2, Batch    358, Loss  0.869335, Average Loss  0.875289, Time  0.442279
2021-09-24 20:08:16.990698 : Epoch  2, Batch    359, Loss  0.885246, Average Loss  0.875300, Time  0.444043
2021-09-24 20:08:22.545472 : Epoch  2, Batch    360, Loss  0.879308, Average Loss  0.875271, Time  0.441712
2021-09-24 20:08:28.222634 : Epoch  2, Batch    361, Loss  0.886134, Average Loss  0.875303, Time  0.442968
2021-09-24 20:08:33.875222 : Epoch  2, Batch    362, Loss  0.883359, Average Loss  0.875357, Time  0.443117
2021-09-24 20:08:39.532393 : Epoch  2, Batch    363, Loss  0.892631, Average Loss  0.875450, Time  0.442329
2021-09-24 20:08:45.191520 : Epoch  2, Batch    364, Loss  0.866882, Average Loss  0.875389, Time  0.443234
2021-09-24 20:08:50.840856 : Epoch  2, Batch    365, Loss  0.873429, Average Loss  0.875376, Time  0.449324
2021-09-24 20:08:56.597394 : Epoch  2, Batch    366, Loss  0.867235, Average Loss  0.875371, Time  0.443008
2021-09-24 20:09:02.280816 : Epoch  2, Batch    367, Loss  0.876995, Average Loss  0.875421, Time  0.443074
2021-09-24 20:09:07.944512 : Epoch  2, Batch    368, Loss  0.851183, Average Loss  0.875346, Time  0.442806
2021-09-24 20:09:13.686042 : Epoch  2, Batch    369, Loss  0.881919, Average Loss  0.875299, Time  0.443985
2021-09-24 20:09:19.333781 : Epoch  2, Batch    370, Loss  0.861474, Average Loss  0.875252, Time  0.443310
2021-09-24 20:09:24.968390 : Epoch  2, Batch    371, Loss  0.875201, Average Loss  0.875233, Time  0.443768
2021-09-24 20:09:30.622190 : Epoch  2, Batch    372, Loss  0.862749, Average Loss  0.875176, Time  0.443139
2021-09-24 20:13:56.864909 : CheckPoint: Validation Loss  0.00015149, Best Loss  0.00014732
2021-09-24 20:14:02.538197 : Epoch  2, Batch    373, Loss  0.875209, Average Loss  0.875166, Time  0.442012
2021-09-24 20:14:08.253659 : Epoch  2, Batch    374, Loss  0.872267, Average Loss  0.875102, Time  0.443253
2021-09-24 20:14:13.964388 : Epoch  2, Batch    375, Loss  0.870492, Average Loss  0.875079, Time  0.441405
2021-09-24 20:14:19.650184 : Epoch  2, Batch    376, Loss  0.865367, Average Loss  0.875024, Time  0.443522
2021-09-24 20:14:25.419704 : Epoch  2, Batch    377, Loss  0.882817, Average Loss  0.875093, Time  0.450495
2021-09-24 20:14:31.143683 : Epoch  2, Batch    378, Loss  0.886387, Average Loss  0.875132, Time  0.443139
2021-09-24 20:14:36.835564 : Epoch  2, Batch    379, Loss  0.892960, Average Loss  0.875178, Time  0.444920
2021-09-24 20:14:42.554462 : Epoch  2, Batch    380, Loss  0.891796, Average Loss  0.875240, Time  0.442588
2021-09-24 20:14:48.234290 : Epoch  2, Batch    381, Loss  0.889527, Average Loss  0.875303, Time  0.444056
2021-09-24 20:14:53.994019 : Epoch  2, Batch    382, Loss  0.870815, Average Loss  0.875255, Time  0.443915
2021-09-24 20:14:59.719261 : Epoch  2, Batch    383, Loss  0.872034, Average Loss  0.875194, Time  0.444527
2021-09-24 20:15:05.449644 : Epoch  2, Batch    384, Loss  0.880695, Average Loss  0.875258, Time  0.444621
2021-09-24 20:15:11.197294 : Epoch  2, Batch    385, Loss  0.864538, Average Loss  0.875208, Time  0.452869
2021-09-24 20:15:16.973112 : Epoch  2, Batch    386, Loss  0.874821, Average Loss  0.875254, Time  0.444478
2021-09-24 20:15:22.700241 : Epoch  2, Batch    387, Loss  0.872094, Average Loss  0.875155, Time  0.442829
2021-09-24 20:15:28.363906 : Epoch  2, Batch    388, Loss  0.870806, Average Loss  0.875074, Time  0.442708
2021-09-24 20:15:34.065187 : Epoch  2, Batch    389, Loss  0.881260, Average Loss  0.875065, Time  0.444559
2021-09-24 20:15:39.820052 : Epoch  2, Batch    390, Loss  0.877934, Average Loss  0.875051, Time  0.442647
2021-09-24 20:15:45.461709 : Epoch  2, Batch    391, Loss  0.865078, Average Loss  0.875050, Time  0.444520
2021-09-24 20:15:51.135822 : Epoch  2, Batch    392, Loss  0.875185, Average Loss  0.874976, Time  0.444220
2021-09-24 20:15:56.925837 : Epoch  2, Batch    393, Loss  0.870025, Average Loss  0.874988, Time  0.457678
2021-09-24 20:16:02.669061 : Epoch  2, Batch    394, Loss  0.867087, Average Loss  0.874913, Time  0.442730
2021-09-24 20:16:08.379762 : Epoch  2, Batch    395, Loss  0.873871, Average Loss  0.874904, Time  0.443004
2021-09-24 20:16:14.040467 : Epoch  2, Batch    396, Loss  0.863144, Average Loss  0.874813, Time  0.443161
2021-09-24 20:16:19.681250 : Epoch  2, Batch    397, Loss  0.857030, Average Loss  0.874754, Time  0.444008
2021-09-24 20:16:25.444295 : Epoch  2, Batch    398, Loss  0.881368, Average Loss  0.874770, Time  0.444672
2021-09-24 20:16:31.218341 : Epoch  2, Batch    399, Loss  0.875354, Average Loss  0.874785, Time  0.443494
2021-09-24 20:16:36.988292 : Epoch  2, Batch    400, Loss  0.883165, Average Loss  0.874833, Time  0.442824
2021-09-24 20:16:42.748762 : Epoch  2, Batch    401, Loss  0.889609, Average Loss  0.874924, Time  0.455076
2021-09-24 20:16:48.407495 : Epoch  2, Batch    402, Loss  0.873144, Average Loss  0.874849, Time  0.443603
2021-09-24 20:16:54.074365 : Epoch  2, Batch    403, Loss  0.865720, Average Loss  0.874868, Time  0.441746
2021-09-24 20:16:59.772308 : Epoch  2, Batch    404, Loss  0.876060, Average Loss  0.874982, Time  0.443754
2021-09-24 20:17:05.460644 : Epoch  2, Batch    405, Loss  0.881114, Average Loss  0.875021, Time  0.443986
2021-09-24 20:17:11.211185 : Epoch  2, Batch    406, Loss  0.863729, Average Loss  0.874973, Time  0.443408
2021-09-24 20:17:16.959737 : Epoch  2, Batch    407, Loss  0.881171, Average Loss  0.874950, Time  0.444282
2021-09-24 20:17:22.675854 : Epoch  2, Batch    408, Loss  0.873079, Average Loss  0.875019, Time  0.442495
2021-09-24 20:17:28.394528 : Epoch  2, Batch    409, Loss  0.872972, Average Loss  0.874987, Time  0.453326
2021-09-24 20:17:34.170581 : Epoch  2, Batch    410, Loss  0.870652, Average Loss  0.875040, Time  0.443626
2021-09-24 20:17:39.834203 : Epoch  2, Batch    411, Loss  0.878091, Average Loss  0.874996, Time  0.442889
2021-09-24 20:17:45.561400 : Epoch  2, Batch    412, Loss  0.869257, Average Loss  0.874942, Time  0.444211
2021-09-24 20:17:51.341743 : Epoch  2, Batch    413, Loss  0.864336, Average Loss  0.874853, Time  0.442928
2021-09-24 20:17:57.049134 : Epoch  2, Batch    414, Loss  0.865554, Average Loss  0.874817, Time  0.443090
2021-09-24 20:18:02.866958 : Epoch  2, Batch    415, Loss  0.881008, Average Loss  0.874813, Time  0.445839
2021-09-24 20:18:08.651528 : Epoch  2, Batch    416, Loss  0.866373, Average Loss  0.874718, Time  0.441030
2021-09-24 20:18:14.367156 : Epoch  2, Batch    417, Loss  0.865476, Average Loss  0.874690, Time  0.453190
2021-09-24 20:18:20.251462 : Epoch  2, Batch    418, Loss  0.878602, Average Loss  0.874764, Time  0.445026
2021-09-24 20:18:26.056626 : Epoch  2, Batch    419, Loss  0.863227, Average Loss  0.874723, Time  0.444130
2021-09-24 20:18:31.758898 : Epoch  2, Batch    420, Loss  0.873229, Average Loss  0.874669, Time  0.443882
2021-09-24 20:18:37.499232 : Epoch  2, Batch    421, Loss  0.880868, Average Loss  0.874747, Time  0.442527
2021-09-24 20:18:43.345510 : Epoch  2, Batch    422, Loss  0.863957, Average Loss  0.874689, Time  0.443808
2021-09-24 20:18:49.304016 : Epoch  2, Batch    423, Loss  0.878158, Average Loss  0.874629, Time  0.444323
2021-09-24 20:18:55.336947 : Epoch  2, Batch    424, Loss  0.875430, Average Loss  0.874605, Time  0.443678
2021-09-24 20:19:01.342791 : Epoch  2, Batch    425, Loss  0.890160, Average Loss  0.874739, Time  0.452607
2021-09-24 20:19:07.325560 : Epoch  2, Batch    426, Loss  0.860136, Average Loss  0.874640, Time  0.446624
2021-09-24 20:19:13.372044 : Epoch  2, Batch    427, Loss  0.869812, Average Loss  0.874618, Time  0.444218
2021-09-24 20:19:19.234358 : Epoch  2, Batch    428, Loss  0.872808, Average Loss  0.874630, Time  0.442544
2021-09-24 20:19:24.886191 : Epoch  2, Batch    429, Loss  0.854118, Average Loss  0.874516, Time  0.442756
2021-09-24 20:19:30.498840 : Epoch  2, Batch    430, Loss  0.860771, Average Loss  0.874499, Time  0.442683
2021-09-24 20:19:36.130371 : Epoch  2, Batch    431, Loss  0.889579, Average Loss  0.874559, Time  0.442320
2021-09-24 20:19:41.763564 : Epoch  2, Batch    432, Loss  0.871824, Average Loss  0.874517, Time  0.441683
2021-09-24 20:19:47.395523 : Epoch  2, Batch    433, Loss  0.881249, Average Loss  0.874557, Time  0.455745
2021-09-24 20:19:53.056954 : Epoch  2, Batch    434, Loss  0.890068, Average Loss  0.874580, Time  0.442555
2021-09-24 20:19:58.729526 : Epoch  2, Batch    435, Loss  0.878332, Average Loss  0.874563, Time  0.442238
2021-09-24 20:20:04.366293 : Epoch  2, Batch    436, Loss  0.866311, Average Loss  0.874507, Time  0.441879
2021-09-24 20:20:09.999302 : Epoch  2, Batch    437, Loss  0.877346, Average Loss  0.874532, Time  0.442804
2021-09-24 20:20:15.600543 : Epoch  2, Batch    438, Loss  0.872821, Average Loss  0.874508, Time  0.442840
2021-09-24 20:20:21.244095 : Epoch  2, Batch    439, Loss  0.870860, Average Loss  0.874489, Time  0.441817
2021-09-24 20:20:26.854263 : Epoch  2, Batch    440, Loss  0.871211, Average Loss  0.874378, Time  0.441861
2021-09-24 20:20:32.499310 : Epoch  2, Batch    441, Loss  0.874817, Average Loss  0.874384, Time  0.458442
2021-09-24 20:20:38.477786 : Epoch  2, Batch    442, Loss  0.871276, Average Loss  0.874377, Time  0.444302
2021-09-24 20:20:44.469061 : Epoch  2, Batch    443, Loss  0.865731, Average Loss  0.874304, Time  0.444522
2021-09-24 20:20:50.441355 : Epoch  2, Batch    444, Loss  0.874418, Average Loss  0.874221, Time  0.444841
2021-09-24 20:20:56.429140 : Epoch  2, Batch    445, Loss  0.878641, Average Loss  0.874253, Time  0.444462
2021-09-24 20:21:02.398388 : Epoch  2, Batch    446, Loss  0.875684, Average Loss  0.874334, Time  0.447622
2021-09-24 20:21:08.385328 : Epoch  2, Batch    447, Loss  0.866985, Average Loss  0.874276, Time  0.448606
2021-09-24 20:21:14.378404 : Epoch  2, Batch    448, Loss  0.868018, Average Loss  0.874345, Time  0.449558
2021-09-24 20:21:20.372878 : Epoch  2, Batch    449, Loss  0.872284, Average Loss  0.874333, Time  0.454615
2021-09-24 20:21:26.357739 : Epoch  2, Batch    450, Loss  0.876196, Average Loss  0.874276, Time  0.448200
2021-09-24 20:21:32.332368 : Epoch  2, Batch    451, Loss  0.889897, Average Loss  0.874350, Time  0.447424
2021-09-24 20:21:38.309813 : Epoch  2, Batch    452, Loss  0.868635, Average Loss  0.874297, Time  0.448195
2021-09-24 20:21:44.316541 : Epoch  2, Batch    453, Loss  0.874446, Average Loss  0.874346, Time  0.443930
2021-09-24 20:21:50.306263 : Epoch  2, Batch    454, Loss  0.886896, Average Loss  0.874387, Time  0.444279
2021-09-24 20:21:56.286964 : Epoch  2, Batch    455, Loss  0.886826, Average Loss  0.874420, Time  0.446474
2021-09-24 20:22:02.260782 : Epoch  2, Batch    456, Loss  0.871712, Average Loss  0.874470, Time  0.448781
2021-09-24 20:22:08.244088 : Epoch  2, Batch    457, Loss  0.875926, Average Loss  0.874529, Time  0.460630
2021-09-24 20:22:14.230382 : Epoch  2, Batch    458, Loss  0.869145, Average Loss  0.874494, Time  0.446185
2021-09-24 20:22:20.208305 : Epoch  2, Batch    459, Loss  0.877468, Average Loss  0.874570, Time  0.444665
2021-09-24 20:22:26.208698 : Epoch  2, Batch    460, Loss  0.876807, Average Loss  0.874564, Time  0.448798
2021-09-24 20:22:32.211431 : Epoch  2, Batch    461, Loss  0.874797, Average Loss  0.874587, Time  0.443839
2021-09-24 20:22:38.193475 : Epoch  2, Batch    462, Loss  0.876177, Average Loss  0.874643, Time  0.444495
2021-09-24 20:22:44.183993 : Epoch  2, Batch    463, Loss  0.893312, Average Loss  0.874685, Time  0.445120
2021-09-24 20:22:50.163506 : Epoch  2, Batch    464, Loss  0.877772, Average Loss  0.874779, Time  0.447330
2021-09-24 20:22:56.182545 : Epoch  2, Batch    465, Loss  0.871022, Average Loss  0.874751, Time  0.462692
2021-09-24 20:23:02.167236 : Epoch  2, Batch    466, Loss  0.873681, Average Loss  0.874758, Time  0.449008
2021-09-24 20:23:08.154802 : Epoch  2, Batch    467, Loss  0.880470, Average Loss  0.874908, Time  0.445101
2021-09-24 20:23:14.140846 : Epoch  2, Batch    468, Loss  0.859501, Average Loss  0.874859, Time  0.445612
2021-09-24 20:23:20.145274 : Epoch  2, Batch    469, Loss  0.862834, Average Loss  0.874775, Time  0.446027
2021-09-24 20:23:26.119851 : Epoch  2, Batch    470, Loss  0.865712, Average Loss  0.874657, Time  0.443981
2021-09-24 20:23:32.103559 : Epoch  2, Batch    471, Loss  0.880868, Average Loss  0.874676, Time  0.444962
2021-09-24 20:23:38.075890 : Epoch  2, Batch    472, Loss  0.866934, Average Loss  0.874601, Time  0.445953
2021-09-24 20:28:16.915152 : CheckPoint: Validation Loss  0.00015250, Best Loss  0.00014732
2021-09-24 20:28:22.868862 : Epoch  2, Batch    473, Loss  0.876698, Average Loss  0.874627, Time  0.443852
2021-09-24 20:28:28.814799 : Epoch  2, Batch    474, Loss  0.864340, Average Loss  0.874559, Time  0.443848
2021-09-24 20:28:34.779877 : Epoch  2, Batch    475, Loss  0.872507, Average Loss  0.874572, Time  0.449676
2021-09-24 20:28:40.759514 : Epoch  2, Batch    476, Loss  0.879983, Average Loss  0.874705, Time  0.444607
2021-09-24 20:28:46.720755 : Epoch  2, Batch    477, Loss  0.873465, Average Loss  0.874665, Time  0.444131
2021-09-24 20:28:52.678099 : Epoch  2, Batch    478, Loss  0.869995, Average Loss  0.874610, Time  0.446184
2021-09-24 20:28:58.647182 : Epoch  2, Batch    479, Loss  0.874587, Average Loss  0.874574, Time  0.451086
2021-09-24 20:29:04.611898 : Epoch  2, Batch    480, Loss  0.874842, Average Loss  0.874474, Time  0.444242
2021-09-24 20:29:10.582888 : Epoch  2, Batch    481, Loss  0.868807, Average Loss  0.874443, Time  0.447441
2021-09-24 20:29:16.550106 : Epoch  2, Batch    482, Loss  0.866359, Average Loss  0.874368, Time  0.448565
2021-09-24 20:29:22.518469 : Epoch  2, Batch    483, Loss  0.869649, Average Loss  0.874284, Time  0.447634
2021-09-24 20:29:28.470426 : Epoch  2, Batch    484, Loss  0.863415, Average Loss  0.874154, Time  0.443645
2021-09-24 20:29:34.451317 : Epoch  2, Batch    485, Loss  0.884717, Average Loss  0.874232, Time  0.445966
2021-09-24 20:29:40.422345 : Epoch  2, Batch    486, Loss  0.868450, Average Loss  0.874178, Time  0.444855
2021-09-24 20:29:46.405206 : Epoch  2, Batch    487, Loss  0.870491, Average Loss  0.874154, Time  0.459601
2021-09-24 20:29:52.365528 : Epoch  2, Batch    488, Loss  0.879427, Average Loss  0.874197, Time  0.445631
2021-09-24 20:29:58.338830 : Epoch  2, Batch    489, Loss  0.866776, Average Loss  0.874170, Time  0.445983
2021-09-24 20:30:04.324677 : Epoch  2, Batch    490, Loss  0.868451, Average Loss  0.874122, Time  0.445361
2021-09-24 20:30:10.304575 : Epoch  2, Batch    491, Loss  0.891823, Average Loss  0.874207, Time  0.444581
2021-09-24 20:30:16.265169 : Epoch  2, Batch    492, Loss  0.884412, Average Loss  0.874227, Time  0.445777
2021-09-24 20:30:22.260920 : Epoch  2, Batch    493, Loss  0.889873, Average Loss  0.874301, Time  0.443742
2021-09-24 20:30:28.236135 : Epoch  2, Batch    494, Loss  0.859111, Average Loss  0.874202, Time  0.443683
2021-09-24 20:30:34.212214 : Epoch  2, Batch    495, Loss  0.882650, Average Loss  0.874275, Time  0.457277
2021-09-24 20:30:40.180809 : Epoch  2, Batch    496, Loss  0.872809, Average Loss  0.874266, Time  0.445590
2021-09-24 20:30:46.143037 : Epoch  2, Batch    497, Loss  0.870400, Average Loss  0.874242, Time  0.443825
2021-09-24 20:30:52.114634 : Epoch  2, Batch    498, Loss  0.878150, Average Loss  0.874219, Time  0.443739
2021-09-24 20:30:58.085029 : Epoch  2, Batch    499, Loss  0.863949, Average Loss  0.874256, Time  0.450210
2021-09-24 20:31:04.023323 : Epoch  2, Batch    500, Loss  0.877886, Average Loss  0.874296, Time  0.443869
2021-09-24 20:31:10.002219 : Epoch  2, Batch    501, Loss  0.870929, Average Loss  0.874362, Time  0.444428
2021-09-24 20:31:15.970443 : Epoch  2, Batch    502, Loss  0.878666, Average Loss  0.874419, Time  0.446266
2021-09-24 20:31:21.954951 : Epoch  2, Batch    503, Loss  0.893383, Average Loss  0.874580, Time  0.458216
2021-09-24 20:31:27.924217 : Epoch  2, Batch    504, Loss  0.868707, Average Loss  0.874558, Time  0.446942
2021-09-24 20:31:33.947333 : Epoch  2, Batch    505, Loss  0.854243, Average Loss  0.874429, Time  0.444938
2021-09-24 20:31:39.909924 : Epoch  2, Batch    506, Loss  0.864197, Average Loss  0.874326, Time  0.443696
2021-09-24 20:31:45.862801 : Epoch  2, Batch    507, Loss  0.875376, Average Loss  0.874257, Time  0.444363
2021-09-24 20:31:51.816841 : Epoch  2, Batch    508, Loss  0.884400, Average Loss  0.874253, Time  0.444299
2021-09-24 20:31:57.784711 : Epoch  2, Batch    509, Loss  0.890610, Average Loss  0.874322, Time  0.445559
2021-09-24 20:32:03.746652 : Epoch  2, Batch    510, Loss  0.880584, Average Loss  0.874392, Time  0.456129
2021-09-24 20:32:09.703826 : Epoch  2, Batch    511, Loss  0.860734, Average Loss  0.874299, Time  0.444452
2021-09-24 20:32:15.669370 : Epoch  2, Batch    512, Loss  0.869789, Average Loss  0.874272, Time  0.446302
2021-09-24 20:32:21.660897 : Epoch  2, Batch    513, Loss  0.881441, Average Loss  0.874278, Time  0.445202
2021-09-24 20:32:27.649044 : Epoch  2, Batch    514, Loss  0.879981, Average Loss  0.874266, Time  0.443581
2021-09-24 20:32:33.609448 : Epoch  2, Batch    515, Loss  0.874339, Average Loss  0.874251, Time  0.443436
2021-09-24 20:32:39.575991 : Epoch  2, Batch    516, Loss  0.855592, Average Loss  0.874173, Time  0.445550
2021-09-24 20:32:45.556767 : Epoch  2, Batch    517, Loss  0.888112, Average Loss  0.874230, Time  0.445173
2021-09-24 20:32:51.518908 : Epoch  2, Batch    518, Loss  0.857021, Average Loss  0.874166, Time  0.459031
2021-09-24 20:32:57.487669 : Epoch  2, Batch    519, Loss  0.876122, Average Loss  0.874110, Time  0.444956
2021-09-24 20:33:03.436849 : Epoch  2, Batch    520, Loss  0.886437, Average Loss  0.874150, Time  0.445304
2021-09-24 20:33:09.377195 : Epoch  2, Batch    521, Loss  0.879663, Average Loss  0.874129, Time  0.445290
2021-09-24 20:33:15.363169 : Epoch  2, Batch    522, Loss  0.856537, Average Loss  0.874065, Time  0.444303
2021-09-24 20:33:21.322950 : Epoch  2, Batch    523, Loss  0.855202, Average Loss  0.873987, Time  0.446205
2021-09-24 20:33:27.306939 : Epoch  2, Batch    524, Loss  0.867278, Average Loss  0.873883, Time  0.444532
2021-09-24 20:33:33.270629 : Epoch  2, Batch    525, Loss  0.884039, Average Loss  0.873910, Time  0.444068
2021-09-24 20:33:39.267847 : Epoch  2, Batch    526, Loss  0.871824, Average Loss  0.873895, Time  0.460990
2021-09-24 20:33:45.247815 : Epoch  2, Batch    527, Loss  0.870352, Average Loss  0.873848, Time  0.444098
2021-09-24 20:33:51.217591 : Epoch  2, Batch    528, Loss  0.858911, Average Loss  0.873851, Time  0.446282
2021-09-24 20:33:57.209835 : Epoch  2, Batch    529, Loss  0.869828, Average Loss  0.873812, Time  0.443825
2021-09-24 20:34:03.199679 : Epoch  2, Batch    530, Loss  0.881037, Average Loss  0.873886, Time  0.445002
2021-09-24 20:34:09.182506 : Epoch  2, Batch    531, Loss  0.875856, Average Loss  0.873915, Time  0.443775
2021-09-24 20:34:15.142967 : Epoch  2, Batch    532, Loss  0.858165, Average Loss  0.873893, Time  0.447254
2021-09-24 20:34:21.103977 : Epoch  2, Batch    533, Loss  0.877616, Average Loss  0.873909, Time  0.445370
2021-09-24 20:34:27.099206 : Epoch  2, Batch    534, Loss  0.874650, Average Loss  0.873879, Time  0.458779
2021-09-24 20:34:33.053139 : Epoch  2, Batch    535, Loss  0.852938, Average Loss  0.873734, Time  0.445592
2021-09-24 20:34:37.446915 : Epoch  2, Batch    536, Loss  0.872975, Average Loss  0.873709, Time  0.344213
2021-09-24 20:34:43.425484 : Epoch  2, Batch    537, Loss  0.878698, Average Loss  0.873777, Time  0.445872
2021-09-24 20:34:49.390751 : Epoch  2, Batch    538, Loss  0.861493, Average Loss  0.873620, Time  0.448831
2021-09-24 20:34:55.360385 : Epoch  2, Batch    539, Loss  0.860096, Average Loss  0.873566, Time  0.445397
2021-09-24 20:35:01.320791 : Epoch  2, Batch    540, Loss  0.875042, Average Loss  0.873547, Time  0.443569
2021-09-24 20:35:07.287776 : Epoch  2, Batch    541, Loss  0.880867, Average Loss  0.873602, Time  0.444140
2021-09-24 20:35:13.277898 : Epoch  2, Batch    542, Loss  0.861572, Average Loss  0.873566, Time  0.456402
2021-09-24 20:35:19.217542 : Epoch  2, Batch    543, Loss  0.872862, Average Loss  0.873598, Time  0.444056
2021-09-24 20:35:25.187624 : Epoch  2, Batch    544, Loss  0.879410, Average Loss  0.873544, Time  0.448206
2021-09-24 20:35:31.145790 : Epoch  2, Batch    545, Loss  0.857722, Average Loss  0.873438, Time  0.446648
2021-09-24 20:35:37.092459 : Epoch  2, Batch    546, Loss  0.879478, Average Loss  0.873519, Time  0.443591
2021-09-24 20:35:43.037852 : Epoch  2, Batch    547, Loss  0.878883, Average Loss  0.873554, Time  0.443945
2021-09-24 20:35:49.035983 : Epoch  2, Batch    548, Loss  0.874538, Average Loss  0.873592, Time  0.449679
2021-09-24 20:35:54.992266 : Epoch  2, Batch    549, Loss  0.872278, Average Loss  0.873525, Time  0.445051
2021-09-24 20:36:01.001353 : Epoch  2, Batch    550, Loss  0.878276, Average Loss  0.873612, Time  0.460256
2021-09-24 20:36:06.956157 : Epoch  2, Batch    551, Loss  0.864241, Average Loss  0.873574, Time  0.450582
2021-09-24 20:36:12.927294 : Epoch  2, Batch    552, Loss  0.865805, Average Loss  0.873577, Time  0.445034
2021-09-24 20:36:18.900703 : Epoch  2, Batch    553, Loss  0.866149, Average Loss  0.873536, Time  0.444414
2021-09-24 20:36:24.876641 : Epoch  2, Batch    554, Loss  0.870568, Average Loss  0.873452, Time  0.444597
2021-09-24 20:36:30.848739 : Epoch  2, Batch    555, Loss  0.869319, Average Loss  0.873337, Time  0.444627
2021-09-24 20:36:36.832067 : Epoch  2, Batch    556, Loss  0.871636, Average Loss  0.873331, Time  0.445378
2021-09-24 20:36:42.790847 : Epoch  2, Batch    557, Loss  0.863534, Average Loss  0.873367, Time  0.458651
2021-09-24 20:36:48.747028 : Epoch  2, Batch    558, Loss  0.869142, Average Loss  0.873366, Time  0.450604
2021-09-24 20:38:04.131075 : Building dataset train from orignial text documents
2021-09-24 20:41:24.079756 : Finish Loading dataset train
2021-09-24 20:41:24.116887 : Data Shuffle
2021-09-24 20:41:24.156339 : Start Shuffling
2021-09-24 20:41:25.521688 : Finish Shuffling
2021-09-24 20:41:25.604652 : Generate Batch
2021-09-24 20:41:25.985198 : Building dataset valid from orignial text documents
2021-09-24 20:41:34.958760 : Finish Loading dataset valid
2021-09-24 20:41:34.991282 : Data Shuffle
2021-09-24 20:41:35.028779 : Start Shuffling
2021-09-24 20:41:35.122669 : Finish Shuffling
2021-09-24 20:41:35.159104 : Generate Batch
2021-09-24 20:41:35.245479 : There are 928 batches per epoch
2021-09-24 20:41:35.274530 : Batch Shuffled
2021-09-24 20:41:41.728726 : Epoch  1, Batch      1, Loss  1.875056, Average Loss  1.875056, Time  0.666438
2021-09-24 20:41:47.895843 : Epoch  1, Batch      2, Loss  1.875437, Average Loss  1.875247, Time  0.464372
2021-09-24 20:41:54.044657 : Epoch  1, Batch      3, Loss  1.876409, Average Loss  1.875634, Time  0.448828
2021-09-24 20:42:00.198893 : Epoch  1, Batch      4, Loss  1.867322, Average Loss  1.873556, Time  0.448923
2021-09-24 20:42:06.348885 : Epoch  1, Batch      5, Loss  1.865355, Average Loss  1.871916, Time  0.446017
2021-09-24 20:42:12.495261 : Epoch  1, Batch      6, Loss  1.865940, Average Loss  1.870920, Time  0.449580
2021-09-24 20:42:18.630884 : Epoch  1, Batch      7, Loss  1.858324, Average Loss  1.869120, Time  0.447349
2021-09-24 20:42:24.769856 : Epoch  1, Batch      8, Loss  1.849191, Average Loss  1.866629, Time  0.446183
2021-09-24 20:42:30.906827 : Epoch  1, Batch      9, Loss  1.841534, Average Loss  1.863841, Time  0.456935
2021-09-24 20:42:37.027267 : Epoch  1, Batch     10, Loss  1.834661, Average Loss  1.860923, Time  0.445858
2021-09-24 20:42:43.162975 : Epoch  1, Batch     11, Loss  1.829462, Average Loss  1.858063, Time  0.446398
2021-09-24 20:42:49.309141 : Epoch  1, Batch     12, Loss  1.819812, Average Loss  1.854875, Time  0.449925
2021-09-24 20:42:55.426016 : Epoch  1, Batch     13, Loss  1.812210, Average Loss  1.851593, Time  0.447472
2021-09-24 20:43:01.567999 : Epoch  1, Batch     14, Loss  1.802235, Average Loss  1.848068, Time  0.449694
2021-09-24 20:43:07.730277 : Epoch  1, Batch     15, Loss  1.795298, Average Loss  1.844550, Time  0.451998
2021-09-24 20:43:13.857386 : Epoch  1, Batch     16, Loss  1.782035, Average Loss  1.840643, Time  0.445539
2021-09-24 20:43:20.016952 : Epoch  1, Batch     17, Loss  1.776424, Average Loss  1.836865, Time  0.459965
2021-09-24 20:43:26.182658 : Epoch  1, Batch     18, Loss  1.760660, Average Loss  1.832631, Time  0.450349
2021-09-24 20:43:32.349565 : Epoch  1, Batch     19, Loss  1.753276, Average Loss  1.828455, Time  0.448302
2021-09-24 20:43:38.498831 : Epoch  1, Batch     20, Loss  1.741673, Average Loss  1.824116, Time  0.447424
2021-09-24 20:43:44.636033 : Epoch  1, Batch     21, Loss  1.732510, Average Loss  1.819753, Time  0.447957
2021-09-24 20:43:50.799044 : Epoch  1, Batch     22, Loss  1.730489, Average Loss  1.815696, Time  0.447768
2021-09-24 20:43:56.930761 : Epoch  1, Batch     23, Loss  1.727186, Average Loss  1.811848, Time  0.446618
2021-09-24 20:44:03.103288 : Epoch  1, Batch     24, Loss  1.720741, Average Loss  1.808052, Time  0.461551
2021-09-24 20:44:09.252549 : Epoch  1, Batch     25, Loss  1.715885, Average Loss  1.804365, Time  0.446936
2021-09-24 20:44:15.404535 : Epoch  1, Batch     26, Loss  1.701455, Average Loss  1.800407, Time  0.445555
2021-09-24 20:44:21.527114 : Epoch  1, Batch     27, Loss  1.689267, Average Loss  1.796291, Time  0.447477
2021-09-24 20:44:27.659805 : Epoch  1, Batch     28, Loss  1.684773, Average Loss  1.792308, Time  0.447503
2021-09-24 20:44:33.800639 : Epoch  1, Batch     29, Loss  1.693379, Average Loss  1.788897, Time  0.449126
2021-09-24 20:44:39.939766 : Epoch  1, Batch     30, Loss  1.696655, Average Loss  1.785822, Time  0.447906
2021-09-24 20:44:46.083241 : Epoch  1, Batch     31, Loss  1.698207, Average Loss  1.782996, Time  0.447063
2021-09-24 20:44:52.234761 : Epoch  1, Batch     32, Loss  1.679038, Average Loss  1.779747, Time  0.466567
2021-09-24 20:44:58.378521 : Epoch  1, Batch     33, Loss  1.686061, Average Loss  1.776908, Time  0.449679
2021-09-24 20:45:04.514975 : Epoch  1, Batch     34, Loss  1.683665, Average Loss  1.774165, Time  0.446763
2021-09-24 20:45:10.653954 : Epoch  1, Batch     35, Loss  1.678298, Average Loss  1.771426, Time  0.445607
2021-09-24 20:45:16.792316 : Epoch  1, Batch     36, Loss  1.685317, Average Loss  1.769034, Time  0.445841
2021-09-24 20:45:22.943872 : Epoch  1, Batch     37, Loss  1.679140, Average Loss  1.766605, Time  0.448721
2021-09-24 20:45:29.092910 : Epoch  1, Batch     38, Loss  1.665341, Average Loss  1.763940, Time  0.448440
2021-09-24 20:45:35.241394 : Epoch  1, Batch     39, Loss  1.664610, Average Loss  1.761393, Time  0.459185
2021-09-24 20:45:41.383620 : Epoch  1, Batch     40, Loss  1.666170, Average Loss  1.759013, Time  0.447291
2021-09-24 20:45:47.521366 : Epoch  1, Batch     41, Loss  1.665714, Average Loss  1.756737, Time  0.445757
2021-09-24 20:45:53.697971 : Epoch  1, Batch     42, Loss  1.670607, Average Loss  1.754686, Time  0.449000
2021-09-24 20:45:59.826193 : Epoch  1, Batch     43, Loss  1.671880, Average Loss  1.752761, Time  0.447198
2021-09-24 20:46:05.964822 : Epoch  1, Batch     44, Loss  1.660604, Average Loss  1.750666, Time  0.449378
2021-09-24 20:46:12.131931 : Epoch  1, Batch     45, Loss  1.662102, Average Loss  1.748698, Time  0.449014
2021-09-24 20:46:18.274640 : Epoch  1, Batch     46, Loss  1.668213, Average Loss  1.746948, Time  0.451438
2021-09-24 20:46:24.425345 : Epoch  1, Batch     47, Loss  1.659964, Average Loss  1.745098, Time  0.457125
2021-09-24 20:46:30.570734 : Epoch  1, Batch     48, Loss  1.666742, Average Loss  1.743465, Time  0.449863
2021-09-24 20:46:36.723301 : Epoch  1, Batch     49, Loss  1.667093, Average Loss  1.741907, Time  0.449451
2021-09-24 20:46:42.893365 : Epoch  1, Batch     50, Loss  1.663900, Average Loss  1.740346, Time  0.451166
2021-09-24 20:46:49.054901 : Epoch  1, Batch     51, Loss  1.656853, Average Loss  1.738709, Time  0.447602
2021-09-24 20:46:55.219672 : Epoch  1, Batch     52, Loss  1.655869, Average Loss  1.737116, Time  0.455260
2021-09-24 20:47:01.349151 : Epoch  1, Batch     53, Loss  1.662357, Average Loss  1.735706, Time  0.448158
2021-09-24 20:47:07.494639 : Epoch  1, Batch     54, Loss  1.660648, Average Loss  1.734316, Time  0.463666
2021-09-24 20:47:13.665902 : Epoch  1, Batch     55, Loss  1.662378, Average Loss  1.733008, Time  0.446908
2021-09-24 20:47:19.813970 : Epoch  1, Batch     56, Loss  1.657480, Average Loss  1.731659, Time  0.445998
2021-09-24 20:47:25.966828 : Epoch  1, Batch     57, Loss  1.657621, Average Loss  1.730360, Time  0.448303
2021-09-24 20:47:32.104124 : Epoch  1, Batch     58, Loss  1.655526, Average Loss  1.729070, Time  0.447345
2021-09-24 20:47:38.236208 : Epoch  1, Batch     59, Loss  1.662190, Average Loss  1.727936, Time  0.447657
2021-09-24 20:47:44.399971 : Epoch  1, Batch     60, Loss  1.659152, Average Loss  1.726790, Time  0.448220
2021-09-24 20:47:50.548616 : Epoch  1, Batch     61, Loss  1.644248, Average Loss  1.725437, Time  0.447878
2021-09-24 20:47:56.694063 : Epoch  1, Batch     62, Loss  1.653500, Average Loss  1.724276, Time  0.453734
2021-09-24 20:48:02.832019 : Epoch  1, Batch     63, Loss  1.657634, Average Loss  1.723219, Time  0.446890
2021-09-24 20:48:08.952046 : Epoch  1, Batch     64, Loss  1.651048, Average Loss  1.722091, Time  0.445894
2021-09-24 20:48:15.125099 : Epoch  1, Batch     65, Loss  1.653236, Average Loss  1.721032, Time  0.446965
2021-09-24 20:48:21.270036 : Epoch  1, Batch     66, Loss  1.661854, Average Loss  1.720135, Time  0.445573
2021-09-24 20:48:27.399830 : Epoch  1, Batch     67, Loss  1.646294, Average Loss  1.719033, Time  0.445785
2021-09-24 20:48:33.535113 : Epoch  1, Batch     68, Loss  1.647883, Average Loss  1.717987, Time  0.446288
2021-09-24 20:48:39.677451 : Epoch  1, Batch     69, Loss  1.654861, Average Loss  1.717072, Time  0.462965
2021-09-24 20:48:45.832892 : Epoch  1, Batch     70, Loss  1.650801, Average Loss  1.716125, Time  0.448584
2021-09-24 20:48:51.971528 : Epoch  1, Batch     71, Loss  1.648772, Average Loss  1.715176, Time  0.447301
2021-09-24 20:48:58.103116 : Epoch  1, Batch     72, Loss  1.635581, Average Loss  1.714071, Time  0.447181
2021-09-24 20:49:04.283927 : Epoch  1, Batch     73, Loss  1.640577, Average Loss  1.713064, Time  0.451414
2021-09-24 20:49:10.417562 : Epoch  1, Batch     74, Loss  1.649161, Average Loss  1.712201, Time  0.446671
2021-09-24 20:49:16.586161 : Epoch  1, Batch     75, Loss  1.645773, Average Loss  1.711315, Time  0.454048
2021-09-24 20:49:22.724917 : Epoch  1, Batch     76, Loss  1.640527, Average Loss  1.710383, Time  0.447153
2021-09-24 20:49:28.875412 : Epoch  1, Batch     77, Loss  1.640680, Average Loss  1.709478, Time  0.459487
2021-09-24 20:49:35.008719 : Epoch  1, Batch     78, Loss  1.639549, Average Loss  1.708582, Time  0.448823
2021-09-24 20:49:41.165108 : Epoch  1, Batch     79, Loss  1.639223, Average Loss  1.707704, Time  0.447695
2021-09-24 20:49:47.307427 : Epoch  1, Batch     80, Loss  1.637042, Average Loss  1.706820, Time  0.445275
2021-09-24 20:49:53.452234 : Epoch  1, Batch     81, Loss  1.644751, Average Loss  1.706054, Time  0.449039
2021-09-24 20:49:59.595825 : Epoch  1, Batch     82, Loss  1.632665, Average Loss  1.705159, Time  0.447060
2021-09-24 20:50:05.732570 : Epoch  1, Batch     83, Loss  1.628172, Average Loss  1.704232, Time  0.446331
2021-09-24 20:50:11.896856 : Epoch  1, Batch     84, Loss  1.632325, Average Loss  1.703376, Time  0.454603
2021-09-24 20:50:18.050723 : Epoch  1, Batch     85, Loss  1.614613, Average Loss  1.702331, Time  0.447599
2021-09-24 20:50:24.192002 : Epoch  1, Batch     86, Loss  1.625281, Average Loss  1.701435, Time  0.454410
2021-09-24 20:50:30.331429 : Epoch  1, Batch     87, Loss  1.601330, Average Loss  1.700285, Time  0.446864
2021-09-24 20:50:36.476167 : Epoch  1, Batch     88, Loss  1.596146, Average Loss  1.699101, Time  0.447491
2021-09-24 20:50:42.617714 : Epoch  1, Batch     89, Loss  1.584085, Average Loss  1.697809, Time  0.454415
2021-09-24 20:50:48.768712 : Epoch  1, Batch     90, Loss  1.585495, Average Loss  1.696561, Time  0.447059
2021-09-24 20:50:54.919839 : Epoch  1, Batch     91, Loss  1.572251, Average Loss  1.695195, Time  0.446588
2021-09-24 20:51:01.071058 : Epoch  1, Batch     92, Loss  1.557930, Average Loss  1.693703, Time  0.461079
2021-09-24 20:51:07.240118 : Epoch  1, Batch     93, Loss  1.562188, Average Loss  1.692289, Time  0.452363
2021-09-24 20:51:13.369629 : Epoch  1, Batch     94, Loss  1.545416, Average Loss  1.690726, Time  0.447706
2021-09-24 20:51:19.524430 : Epoch  1, Batch     95, Loss  1.526842, Average Loss  1.689001, Time  0.445753
2021-09-24 20:51:25.714577 : Epoch  1, Batch     96, Loss  1.532245, Average Loss  1.687368, Time  0.446728
2021-09-24 20:51:31.904285 : Epoch  1, Batch     97, Loss  1.511574, Average Loss  1.685556, Time  0.445452
2021-09-24 20:51:38.042626 : Epoch  1, Batch     98, Loss  1.502791, Average Loss  1.683691, Time  0.445709
2021-09-24 20:51:44.137970 : Epoch  1, Batch     99, Loss  1.499175, Average Loss  1.681827, Time  0.454265
2021-09-24 20:51:50.229911 : Epoch  1, Batch    100, Loss  1.485792, Average Loss  1.679867, Time  0.446428
2021-09-24 20:52:12.494730 : Building dataset train from orignial text documents
2021-09-24 20:55:28.690768 : Finish Loading dataset train
2021-09-24 20:55:28.736500 : Data Shuffle
2021-09-24 20:55:28.775495 : Start Shuffling
2021-09-24 20:55:30.185717 : Finish Shuffling
2021-09-24 20:55:30.285662 : Generate Batch
2021-09-24 20:55:30.687420 : Building dataset valid from orignial text documents
2021-09-24 20:55:39.596179 : Finish Loading dataset valid
2021-09-24 20:55:39.643678 : Data Shuffle
2021-09-24 20:55:39.690422 : Start Shuffling
2021-09-24 20:55:39.810663 : Finish Shuffling
2021-09-24 20:55:39.838924 : Generate Batch
2021-09-24 20:55:39.905957 : There are 928 batches per epoch
2021-09-24 20:55:39.946701 : Batch Shuffled
2021-09-24 20:55:46.194446 : Epoch  1, Batch      1, Loss  1.960753, Average Loss  1.960753, Time  0.663342
2021-09-24 20:55:52.302921 : Epoch  1, Batch      2, Loss  1.954225, Average Loss  1.957489, Time  0.457274
2021-09-24 20:55:58.503344 : Epoch  1, Batch      3, Loss  1.954990, Average Loss  1.956656, Time  0.451275
2021-09-24 20:56:04.586075 : Epoch  1, Batch      4, Loss  1.953674, Average Loss  1.955911, Time  0.487034
2021-09-24 20:56:10.592844 : Epoch  1, Batch      5, Loss  1.955101, Average Loss  1.955749, Time  0.446800
2021-09-24 20:56:16.615376 : Epoch  1, Batch      6, Loss  1.948677, Average Loss  1.954570, Time  0.448382
2021-09-24 20:56:22.644596 : Epoch  1, Batch      7, Loss  1.943650, Average Loss  1.953010, Time  0.447202
2021-09-24 20:56:28.690710 : Epoch  1, Batch      8, Loss  1.939965, Average Loss  1.951379, Time  0.451756
2021-09-24 20:56:34.717710 : Epoch  1, Batch      9, Loss  1.928979, Average Loss  1.948891, Time  0.456980
2021-09-24 20:56:40.746028 : Epoch  1, Batch     10, Loss  1.921384, Average Loss  1.946140, Time  0.448817
2021-09-24 20:56:42.264387 : CheckPoint: Validation Loss  0.00025900, Best Loss  0.00025900
2021-09-24 20:56:42.303219 : Best Model Updated
2021-09-24 20:56:46.784508 : Epoch  1, Batch     11, Loss  1.907092, Average Loss  1.942590, Time  0.447109
2021-09-24 20:56:49.138137 : Epoch  1, Batch    101, Loss  1.464621, Average Loss  1.677736, Time  0.448211
2021-09-24 20:56:52.799005 : Epoch  1, Batch     12, Loss  1.898549, Average Loss  1.938920, Time  0.446053
2021-09-24 20:56:55.305335 : Epoch  1, Batch    102, Loss  1.464634, Average Loss  1.675647, Time  0.451138
2021-09-24 20:56:58.821119 : Epoch  1, Batch     13, Loss  1.891532, Average Loss  1.935275, Time  0.448093
2021-09-24 20:57:01.428776 : Epoch  1, Batch    103, Loss  1.452363, Average Loss  1.673479, Time  0.446248
2021-09-24 20:57:04.833512 : Epoch  1, Batch     14, Loss  1.876162, Average Loss  1.931052, Time  0.446490
2021-09-24 20:57:07.583889 : Epoch  1, Batch    104, Loss  1.456023, Average Loss  1.671388, Time  0.449866
2021-09-24 20:57:10.843056 : Epoch  1, Batch     15, Loss  1.862908, Average Loss  1.926509, Time  0.446060
2021-09-24 20:57:13.756542 : Epoch  1, Batch    105, Loss  1.438403, Average Loss  1.669169, Time  0.464577
2021-09-24 20:57:16.862385 : Epoch  1, Batch     16, Loss  1.849057, Average Loss  1.921669, Time  0.446529
2021-09-24 20:57:19.905575 : Epoch  1, Batch    106, Loss  1.422698, Average Loss  1.666844, Time  0.445993
2021-09-24 20:57:22.874680 : Epoch  1, Batch     17, Loss  1.836442, Average Loss  1.916655, Time  0.454015
2021-09-24 20:57:26.142414 : Epoch  1, Batch    107, Loss  1.431479, Average Loss  1.664644, Time  0.448599
2021-09-24 20:57:28.930975 : Epoch  1, Batch     18, Loss  1.826113, Average Loss  1.911625, Time  0.447793
2021-09-24 20:57:32.552685 : Epoch  1, Batch    108, Loss  1.416214, Average Loss  1.662344, Time  0.534277
2021-09-24 20:57:35.083454 : Epoch  1, Batch     19, Loss  1.813376, Average Loss  1.906454, Time  0.450953
2021-09-24 20:57:38.838458 : Epoch  1, Batch    109, Loss  1.402256, Average Loss  1.659958, Time  0.536735
2021-09-24 20:57:41.112939 : Epoch  1, Batch     20, Loss  1.799246, Average Loss  1.901094, Time  0.447549
2021-09-24 20:57:45.125152 : Epoch  1, Batch    110, Loss  1.407517, Average Loss  1.657663, Time  0.535994
2021-09-24 20:57:47.181737 : Epoch  1, Batch     21, Loss  1.787201, Average Loss  1.895670, Time  0.448831
2021-09-24 20:57:51.363366 : Epoch  1, Batch    111, Loss  1.391919, Average Loss  1.655269, Time  0.555212
2021-09-24 20:57:53.195568 : Epoch  1, Batch     22, Loss  1.771881, Average Loss  1.890044, Time  0.450820
2021-09-24 20:57:57.605838 : Epoch  1, Batch    112, Loss  1.383633, Average Loss  1.652843, Time  0.541144
2021-09-24 20:57:59.257132 : Epoch  1, Batch     23, Loss  1.763659, Average Loss  1.884549, Time  0.446404
2021-09-24 20:58:03.854207 : Epoch  1, Batch    113, Loss  1.374129, Average Loss  1.650377, Time  0.563376
2021-09-24 20:58:05.293991 : Epoch  1, Batch     24, Loss  1.753471, Average Loss  1.879087, Time  0.463856
2021-09-24 20:58:10.097588 : Epoch  1, Batch    114, Loss  1.379687, Average Loss  1.648002, Time  0.533790
2021-09-24 20:58:11.317431 : Epoch  1, Batch     25, Loss  1.737072, Average Loss  1.873406, Time  0.446848
2021-09-24 20:58:16.315201 : Epoch  1, Batch    115, Loss  1.370243, Average Loss  1.645587, Time  0.534670
2021-09-24 20:58:17.328918 : Epoch  1, Batch     26, Loss  1.731754, Average Loss  1.867958, Time  0.446791
2021-09-24 20:58:22.604273 : Epoch  1, Batch    116, Loss  1.359626, Average Loss  1.643122, Time  0.541182
2021-09-24 20:58:23.374495 : Epoch  1, Batch     27, Loss  1.723438, Average Loss  1.862606, Time  0.446095
2021-09-24 20:58:28.865515 : Epoch  1, Batch    117, Loss  1.347452, Average Loss  1.640595, Time  0.541292
2021-09-24 20:58:29.395732 : Epoch  1, Batch     28, Loss  1.716704, Average Loss  1.857395, Time  0.449096
2021-09-24 20:58:35.156624 : Epoch  1, Batch    118, Loss  1.340176, Average Loss  1.638049, Time  0.571717
2021-09-24 20:58:35.436952 : Epoch  1, Batch     29, Loss  1.703215, Average Loss  1.852078, Time  0.453333
2021-09-24 20:58:41.382463 : Epoch  1, Batch    119, Loss  1.343814, Average Loss  1.635576, Time  0.534674
2021-09-24 20:58:41.461921 : Epoch  1, Batch     30, Loss  1.699334, Average Loss  1.846987, Time  0.446844
2021-09-24 20:58:47.491879 : Epoch  1, Batch     31, Loss  1.697961, Average Loss  1.842180, Time  0.447304
2021-09-24 20:58:47.694614 : Epoch  1, Batch    120, Loss  1.361960, Average Loss  1.633296, Time  0.560919
2021-09-24 20:58:53.530686 : Epoch  1, Batch     32, Loss  1.700832, Average Loss  1.837762, Time  0.461538
2021-09-24 20:58:53.941449 : Epoch  1, Batch    121, Loss  1.312673, Average Loss  1.630646, Time  0.546957
2021-09-24 20:58:59.615427 : Epoch  1, Batch     33, Loss  1.688665, Average Loss  1.833244, Time  0.446547
2021-09-24 20:59:00.310063 : Epoch  1, Batch    122, Loss  1.328461, Average Loss  1.628170, Time  0.534958
2021-09-24 20:59:05.643908 : Epoch  1, Batch     34, Loss  1.692941, Average Loss  1.829118, Time  0.448462
2021-09-24 20:59:06.507906 : Epoch  1, Batch    123, Loss  1.327471, Average Loss  1.625725, Time  0.447528
2021-09-24 20:59:11.698733 : Epoch  1, Batch     35, Loss  1.688616, Average Loss  1.825103, Time  0.445587
2021-09-24 20:59:12.751829 : Epoch  1, Batch    124, Loss  1.324590, Average Loss  1.623296, Time  0.568235
2021-09-24 20:59:17.693824 : Epoch  1, Batch     36, Loss  1.667546, Average Loss  1.820727, Time  0.449027
2021-09-24 20:59:18.930960 : Epoch  1, Batch    125, Loss  1.319079, Average Loss  1.620863, Time  0.513800
2021-09-24 20:59:23.724281 : Epoch  1, Batch     37, Loss  1.676714, Average Loss  1.816835, Time  0.448965
2021-09-24 20:59:25.179155 : Epoch  1, Batch    126, Loss  1.295886, Average Loss  1.618283, Time  0.558923
2021-09-24 20:59:29.754074 : Epoch  1, Batch     38, Loss  1.682267, Average Loss  1.813293, Time  0.447500
2021-09-24 20:59:31.415088 : Epoch  1, Batch    127, Loss  1.301947, Average Loss  1.615793, Time  0.513006
2021-09-24 20:59:35.985966 : Epoch  1, Batch     39, Loss  1.672442, Average Loss  1.809682, Time  0.462800
2021-09-24 20:59:37.768573 : Epoch  1, Batch    128, Loss  1.298527, Average Loss  1.613314, Time  0.532442
2021-09-24 20:59:42.001434 : Epoch  1, Batch     40, Loss  1.672543, Average Loss  1.806253, Time  0.448151
2021-09-24 20:59:43.995059 : Epoch  1, Batch    129, Loss  1.296849, Average Loss  1.610861, Time  0.548132
2021-09-24 20:59:48.044346 : Epoch  1, Batch     41, Loss  1.673106, Average Loss  1.803006, Time  0.446585
2021-09-24 20:59:50.223256 : Epoch  1, Batch    130, Loss  1.288728, Average Loss  1.608383, Time  0.539653
2021-09-24 20:59:54.063886 : Epoch  1, Batch     42, Loss  1.669878, Average Loss  1.799836, Time  0.446839
2021-09-24 20:59:56.353882 : Epoch  1, Batch    131, Loss  1.293041, Average Loss  1.605976, Time  0.452293
2021-09-24 21:00:00.122106 : Epoch  1, Batch     43, Loss  1.675202, Average Loss  1.796938, Time  0.446253
2021-09-24 21:00:02.595841 : Epoch  1, Batch    132, Loss  1.270157, Average Loss  1.603432, Time  0.546123
2021-09-24 21:00:06.150632 : Epoch  1, Batch     44, Loss  1.671679, Average Loss  1.794091, Time  0.446197
2021-09-24 21:00:08.713288 : Epoch  1, Batch    133, Loss  1.258887, Average Loss  1.600841, Time  0.446286
2021-09-24 21:00:12.157903 : Epoch  1, Batch     45, Loss  1.665397, Average Loss  1.791231, Time  0.451912
2021-09-24 21:00:14.833086 : Epoch  1, Batch    134, Loss  1.257618, Average Loss  1.598280, Time  0.446381
2021-09-24 21:00:18.163974 : Epoch  1, Batch     46, Loss  1.661402, Average Loss  1.788409, Time  0.446460
2021-09-24 21:00:21.008182 : Epoch  1, Batch    135, Loss  1.247783, Average Loss  1.595683, Time  0.461422
2021-09-24 21:00:24.182576 : Epoch  1, Batch     47, Loss  1.662496, Average Loss  1.785730, Time  0.455559
2021-09-24 21:00:27.250121 : Epoch  1, Batch    136, Loss  1.232533, Average Loss  1.593013, Time  0.449369
2021-09-24 21:00:30.193551 : Epoch  1, Batch     48, Loss  1.653401, Average Loss  1.782973, Time  0.450198
2021-09-24 21:00:33.416096 : Epoch  1, Batch    137, Loss  1.223516, Average Loss  1.590316, Time  0.449095
2021-09-24 21:00:36.217443 : Epoch  1, Batch     49, Loss  1.666960, Average Loss  1.780605, Time  0.454286
2021-09-24 21:00:39.505760 : Epoch  1, Batch    138, Loss  1.190979, Average Loss  1.587422, Time  0.448540
2021-09-24 21:00:42.258943 : Epoch  1, Batch     50, Loss  1.669970, Average Loss  1.778392, Time  0.452128
2021-09-24 21:00:45.621193 : Epoch  1, Batch    139, Loss  1.206845, Average Loss  1.584684, Time  0.448585
2021-09-24 21:00:48.282461 : Epoch  1, Batch     51, Loss  1.652150, Average Loss  1.775917, Time  0.449764
2021-09-24 21:00:51.717800 : Epoch  1, Batch    140, Loss  1.198721, Average Loss  1.581927, Time  0.447551
2021-09-24 21:00:54.339906 : Epoch  1, Batch     52, Loss  1.674154, Average Loss  1.773960, Time  0.450076
2021-09-24 21:00:57.868105 : Epoch  1, Batch    141, Loss  1.173219, Average Loss  1.579029, Time  0.447862
2021-09-24 21:01:00.374784 : Epoch  1, Batch     53, Loss  1.673762, Average Loss  1.772070, Time  0.446503
2021-09-24 21:01:04.057644 : Epoch  1, Batch    142, Loss  1.179435, Average Loss  1.576215, Time  0.491661
2021-09-24 21:01:06.464899 : Epoch  1, Batch     54, Loss  1.664487, Average Loss  1.770077, Time  0.456177
2021-09-24 21:01:10.330990 : Epoch  1, Batch    143, Loss  1.164415, Average Loss  1.573335, Time  0.554241
2021-09-24 21:01:12.505430 : Epoch  1, Batch     55, Loss  1.662723, Average Loss  1.768125, Time  0.449383
2021-09-24 21:01:16.561986 : Epoch  1, Batch    144, Loss  1.170386, Average Loss  1.570537, Time  0.538601
2021-09-24 21:01:18.600029 : Epoch  1, Batch     56, Loss  1.664360, Average Loss  1.766272, Time  0.446992
2021-09-24 21:01:22.815007 : Epoch  1, Batch    145, Loss  1.162357, Average Loss  1.567722, Time  0.536500
2021-09-24 21:01:24.626847 : Epoch  1, Batch     57, Loss  1.660771, Average Loss  1.764422, Time  0.446804
2021-09-24 21:01:28.996050 : Epoch  1, Batch    146, Loss  1.155784, Average Loss  1.564900, Time  0.455115
2021-09-24 21:01:30.672867 : Epoch  1, Batch     58, Loss  1.666232, Average Loss  1.762729, Time  0.448562
2021-09-24 21:01:35.250501 : Epoch  1, Batch    147, Loss  1.141335, Average Loss  1.562019, Time  0.567820
2021-09-24 21:01:36.699281 : Epoch  1, Batch     59, Loss  1.665173, Average Loss  1.761075, Time  0.446181
2021-09-24 21:01:41.422501 : Epoch  1, Batch    148, Loss  1.128404, Average Loss  1.559089, Time  0.446447
2021-09-24 21:01:42.747687 : Epoch  1, Batch     60, Loss  1.649328, Average Loss  1.759213, Time  0.446646
2021-09-24 21:01:47.753278 : Epoch  1, Batch    149, Loss  1.127403, Average Loss  1.556192, Time  0.562951
2021-09-24 21:01:48.792494 : Epoch  1, Batch     61, Loss  1.663316, Average Loss  1.757641, Time  0.448117
2021-09-24 21:01:54.058269 : Epoch  1, Batch    150, Loss  1.118566, Average Loss  1.553274, Time  0.537890
2021-09-24 21:01:54.840867 : Epoch  1, Batch     62, Loss  1.653593, Average Loss  1.755962, Time  0.462738
2021-09-24 21:02:00.321754 : Epoch  1, Batch    151, Loss  1.126364, Average Loss  1.550447, Time  0.533740
2021-09-24 21:02:00.877549 : Epoch  1, Batch     63, Loss  1.662435, Average Loss  1.754478, Time  0.446395
2021-09-24 21:02:06.615398 : Epoch  1, Batch    152, Loss  1.107155, Average Loss  1.547531, Time  0.540821
2021-09-24 21:02:06.923012 : Epoch  1, Batch     64, Loss  1.666530, Average Loss  1.753104, Time  0.446052
2021-09-24 21:02:12.893841 : Epoch  1, Batch    153, Loss  1.119679, Average Loss  1.544734, Time  0.538075
2021-09-24 21:02:12.931922 : Epoch  1, Batch     65, Loss  1.660154, Average Loss  1.751674, Time  0.445933
2021-09-24 21:02:18.982732 : Epoch  1, Batch     66, Loss  1.647450, Average Loss  1.750095, Time  0.447473
2021-09-24 21:02:19.152999 : Epoch  1, Batch    154, Loss  1.100701, Average Loss  1.541851, Time  0.533690
2021-09-24 21:02:25.020007 : Epoch  1, Batch     67, Loss  1.657879, Average Loss  1.748718, Time  0.446460
2021-09-24 21:02:25.355590 : Epoch  1, Batch    155, Loss  1.112372, Average Loss  1.539080, Time  0.534287
2021-09-24 21:02:31.097704 : Epoch  1, Batch     68, Loss  1.651551, Average Loss  1.747289, Time  0.447227
2021-09-24 21:02:31.628912 : Epoch  1, Batch    156, Loss  1.102164, Average Loss  1.536279, Time  0.535071
2021-09-24 21:02:37.121394 : Epoch  1, Batch     69, Loss  1.659725, Average Loss  1.746020, Time  0.461099
2021-09-24 21:02:37.860916 : Epoch  1, Batch    157, Loss  1.099712, Average Loss  1.533499, Time  0.543256
2021-09-24 21:02:43.145711 : Epoch  1, Batch     70, Loss  1.654017, Average Loss  1.744706, Time  0.447854
2021-09-24 21:02:44.078358 : Epoch  1, Batch    158, Loss  1.098654, Average Loss  1.530747, Time  0.549203
2021-09-24 21:02:49.187946 : Epoch  1, Batch     71, Loss  1.649582, Average Loss  1.743366, Time  0.447599
2021-09-24 21:02:50.304107 : Epoch  1, Batch    159, Loss  1.088368, Average Loss  1.527964, Time  0.552720
2021-09-24 21:02:55.279045 : Epoch  1, Batch     72, Loss  1.659959, Average Loss  1.742208, Time  0.448057
2021-09-24 21:02:56.541061 : Epoch  1, Batch    160, Loss  1.083708, Average Loss  1.525188, Time  0.543033
2021-09-24 21:03:01.288861 : Epoch  1, Batch     73, Loss  1.651665, Average Loss  1.740967, Time  0.446927
2021-09-24 21:03:02.723231 : Epoch  1, Batch    161, Loss  1.100268, Average Loss  1.522548, Time  0.514982
2021-09-24 21:03:07.345308 : Epoch  1, Batch     74, Loss  1.639872, Average Loss  1.739601, Time  0.446191
2021-09-24 21:03:08.853565 : Epoch  1, Batch    162, Loss  1.073684, Average Loss  1.519778, Time  0.450887
2021-09-24 21:03:13.352293 : Epoch  1, Batch     75, Loss  1.656508, Average Loss  1.738493, Time  0.448154
2021-09-24 21:03:15.010239 : Epoch  1, Batch    163, Loss  1.083298, Average Loss  1.517100, Time  0.446581
2021-09-24 21:03:19.359265 : Epoch  1, Batch     76, Loss  1.658062, Average Loss  1.737435, Time  0.449252
2021-09-24 21:03:21.217375 : Epoch  1, Batch    164, Loss  1.084663, Average Loss  1.514463, Time  0.445772
2021-09-24 21:03:25.374762 : Epoch  1, Batch     77, Loss  1.651757, Average Loss  1.736322, Time  0.451848
2021-09-24 21:03:27.402746 : Epoch  1, Batch    165, Loss  1.058987, Average Loss  1.511703, Time  0.454364
2021-09-24 21:03:31.393318 : Epoch  1, Batch     78, Loss  1.641946, Average Loss  1.735112, Time  0.446670
2021-09-24 21:03:33.507904 : Epoch  1, Batch    166, Loss  1.067328, Average Loss  1.509026, Time  0.448047
2021-09-24 21:03:37.384970 : Epoch  1, Batch     79, Loss  1.656062, Average Loss  1.734112, Time  0.446620
2021-09-24 21:03:39.605430 : Epoch  1, Batch    167, Loss  1.078314, Average Loss  1.506447, Time  0.447167
2021-09-24 21:03:43.380974 : Epoch  1, Batch     80, Loss  1.651610, Average Loss  1.733080, Time  0.450011
2021-09-24 21:03:45.699394 : Epoch  1, Batch    168, Loss  1.057179, Average Loss  1.503772, Time  0.448555
2021-09-24 21:03:49.372897 : Epoch  1, Batch     81, Loss  1.648078, Average Loss  1.732031, Time  0.447188
2021-09-24 21:03:51.804931 : Epoch  1, Batch    169, Loss  1.049037, Average Loss  1.501082, Time  0.449726
2021-09-24 21:03:55.389081 : Epoch  1, Batch     82, Loss  1.634902, Average Loss  1.730846, Time  0.450110
2021-09-24 21:03:57.900725 : Epoch  1, Batch    170, Loss  1.063136, Average Loss  1.498505, Time  0.446825
2021-09-24 21:04:01.377961 : Epoch  1, Batch     83, Loss  1.649906, Average Loss  1.729871, Time  0.446651
2021-09-24 21:04:03.978461 : Epoch  1, Batch    171, Loss  1.056535, Average Loss  1.495921, Time  0.448745
2021-09-24 21:04:07.373812 : Epoch  1, Batch     84, Loss  1.649069, Average Loss  1.728909, Time  0.448930
2021-09-24 21:04:10.089934 : Epoch  1, Batch    172, Loss  1.060347, Average Loss  1.493388, Time  0.459061
2021-09-24 21:04:13.383155 : Epoch  1, Batch     85, Loss  1.636406, Average Loss  1.727821, Time  0.463087
2021-09-24 21:04:16.227036 : Epoch  1, Batch    173, Loss  1.038813, Average Loss  1.490761, Time  0.450073
2021-09-24 21:04:19.387674 : Epoch  1, Batch     86, Loss  1.624683, Average Loss  1.726622, Time  0.447356
2021-09-24 21:04:22.368954 : Epoch  1, Batch    174, Loss  1.056430, Average Loss  1.488265, Time  0.449552
2021-09-24 21:04:25.384701 : Epoch  1, Batch     87, Loss  1.638000, Average Loss  1.725603, Time  0.446135
2021-09-24 21:04:28.475576 : Epoch  1, Batch    175, Loss  1.043197, Average Loss  1.485721, Time  0.448963
2021-09-24 21:04:31.379588 : Epoch  1, Batch     88, Loss  1.628116, Average Loss  1.724495, Time  0.455994
2021-09-24 21:04:34.589481 : Epoch  1, Batch    176, Loss  1.041715, Average Loss  1.483199, Time  0.447260
2021-09-24 21:04:37.406816 : Epoch  1, Batch     89, Loss  1.629134, Average Loss  1.723424, Time  0.451506
2021-09-24 21:04:40.749414 : Epoch  1, Batch    177, Loss  1.039599, Average Loss  1.480692, Time  0.447905
2021-09-24 21:04:43.406112 : Epoch  1, Batch     90, Loss  1.619385, Average Loss  1.722268, Time  0.448000
2021-09-24 21:04:47.035680 : Epoch  1, Batch    178, Loss  1.042269, Average Loss  1.478229, Time  0.448450
2021-09-24 21:04:49.402341 : Epoch  1, Batch     91, Loss  1.624501, Average Loss  1.721194, Time  0.447175
2021-09-24 21:04:53.190821 : Epoch  1, Batch    179, Loss  1.041588, Average Loss  1.475790, Time  0.448704
2021-09-24 21:04:55.418893 : Epoch  1, Batch     92, Loss  1.623654, Average Loss  1.720133, Time  0.447992
2021-09-24 21:04:59.299537 : Epoch  1, Batch    180, Loss  1.022575, Average Loss  1.473272, Time  0.454607
2021-09-24 21:05:01.435596 : Epoch  1, Batch     93, Loss  1.623919, Average Loss  1.719099, Time  0.456328
2021-09-24 21:05:05.376592 : Epoch  1, Batch    181, Loss  1.016613, Average Loss  1.470749, Time  0.445647
2021-09-24 21:05:07.423529 : Epoch  1, Batch     94, Loss  1.617068, Average Loss  1.718013, Time  0.449180
2021-09-24 21:05:11.467269 : Epoch  1, Batch    182, Loss  1.035689, Average Loss  1.468359, Time  0.445860
2021-09-24 21:05:13.435916 : Epoch  1, Batch     95, Loss  1.618990, Average Loss  1.716971, Time  0.447118
2021-09-24 21:05:17.579880 : Epoch  1, Batch    183, Loss  1.030306, Average Loss  1.465965, Time  0.447232
2021-09-24 21:05:19.430687 : Epoch  1, Batch     96, Loss  1.598487, Average Loss  1.715737, Time  0.446223
2021-09-24 21:05:23.674934 : Epoch  1, Batch    184, Loss  1.035951, Average Loss  1.463628, Time  0.447669
2021-09-24 21:05:25.427714 : Epoch  1, Batch     97, Loss  1.594618, Average Loss  1.714488, Time  0.445604
2021-09-24 21:05:29.752166 : Epoch  1, Batch    185, Loss  1.030835, Average Loss  1.461289, Time  0.446321
2021-09-24 21:05:31.441878 : Epoch  1, Batch     98, Loss  1.583948, Average Loss  1.713156, Time  0.445624
2021-09-24 21:05:35.860923 : Epoch  1, Batch    186, Loss  1.017805, Average Loss  1.458904, Time  0.447954
2021-09-24 21:05:37.435452 : Epoch  1, Batch     99, Loss  1.572066, Average Loss  1.711731, Time  0.448407
2021-09-24 21:05:41.991480 : Epoch  1, Batch    187, Loss  1.005426, Average Loss  1.456479, Time  0.463862
2021-09-24 21:05:43.489770 : Epoch  1, Batch    100, Loss  1.572369, Average Loss  1.710337, Time  0.453864
2021-09-24 21:05:48.107127 : Epoch  1, Batch    188, Loss  1.008638, Average Loss  1.454097, Time  0.452588
2021-09-24 21:05:54.215683 : Epoch  1, Batch    189, Loss  1.021983, Average Loss  1.451811, Time  0.447084
2021-09-24 21:06:00.316206 : Epoch  1, Batch    190, Loss  0.998424, Average Loss  1.449425, Time  0.446706
2021-09-24 21:06:06.476288 : Epoch  1, Batch    191, Loss  0.996122, Average Loss  1.447051, Time  0.447924
2021-09-24 21:06:12.630059 : Epoch  1, Batch    192, Loss  1.011441, Average Loss  1.444782, Time  0.447107
2021-09-24 21:06:18.785992 : Epoch  1, Batch    193, Loss  0.979470, Average Loss  1.442371, Time  0.447381
2021-09-24 21:06:24.933696 : Epoch  1, Batch    194, Loss  1.005826, Average Loss  1.440121, Time  0.449322
2021-09-24 21:06:31.040181 : Epoch  1, Batch    195, Loss  0.985991, Average Loss  1.437792, Time  0.457626
2021-09-24 21:06:37.154848 : Epoch  1, Batch    196, Loss  0.991619, Average Loss  1.435516, Time  0.448925
2021-09-24 21:06:43.238371 : Epoch  1, Batch    197, Loss  1.002868, Average Loss  1.433320, Time  0.446745
2021-09-24 21:06:49.341971 : Epoch  1, Batch    198, Loss  0.980499, Average Loss  1.431033, Time  0.448255
2021-09-24 21:06:55.441351 : Epoch  1, Batch    199, Loss  0.984494, Average Loss  1.428789, Time  0.446666
2021-09-24 21:07:01.548768 : Epoch  1, Batch    200, Loss  0.986667, Average Loss  1.426578, Time  0.446778
2021-09-24 21:10:31.487966 : CheckPoint: Validation Loss  0.00026445, Best Loss  0.00026445
2021-09-24 21:10:31.538671 : Best Model Updated
2021-09-24 21:10:38.414252 : Epoch  1, Batch    101, Loss  1.560242, Average Loss  1.708851, Time  0.447995
2021-09-24 21:10:44.452878 : Epoch  1, Batch    102, Loss  1.544905, Average Loss  1.707244, Time  0.447409
2021-09-24 21:10:50.489189 : Epoch  1, Batch    103, Loss  1.535177, Average Loss  1.705573, Time  0.446895
2021-09-24 21:10:56.517906 : Epoch  1, Batch    104, Loss  1.546597, Average Loss  1.704045, Time  0.445732
2021-09-24 21:11:02.551951 : Epoch  1, Batch    105, Loss  1.531749, Average Loss  1.702404, Time  0.446260
2021-09-24 21:11:08.589993 : Epoch  1, Batch    106, Loss  1.537328, Average Loss  1.700847, Time  0.458716
2021-09-24 21:11:14.606935 : Epoch  1, Batch    107, Loss  1.515972, Average Loss  1.699119, Time  0.447177
2021-09-24 21:11:20.635334 : Epoch  1, Batch    108, Loss  1.497872, Average Loss  1.697255, Time  0.449284
2021-09-24 21:11:26.696855 : Epoch  1, Batch    109, Loss  1.482799, Average Loss  1.695288, Time  0.446875
2021-09-24 21:11:32.768608 : Epoch  1, Batch    110, Loss  1.462600, Average Loss  1.693172, Time  0.447454
2021-09-24 21:11:38.807572 : Epoch  1, Batch    111, Loss  1.452364, Average Loss  1.691003, Time  0.446294
2021-09-24 21:11:44.895925 : Epoch  1, Batch    112, Loss  1.436118, Average Loss  1.688727, Time  0.450311
2021-09-24 21:11:50.939955 : Epoch  1, Batch    113, Loss  1.433470, Average Loss  1.686468, Time  0.463345
2021-09-24 21:11:51.728080 : CheckPoint: Validation Loss  0.00016093, Best Loss  0.00016093
2021-09-24 21:11:51.757566 : Best Model Updated
2021-09-24 21:11:56.978604 : Epoch  1, Batch    114, Loss  1.419788, Average Loss  1.684129, Time  0.449666
2021-09-24 21:11:58.529750 : Epoch  1, Batch    201, Loss  0.966244, Average Loss  1.422034, Time  0.448878
2021-09-24 21:12:03.010939 : Epoch  1, Batch    115, Loss  1.397957, Average Loss  1.681641, Time  0.446463
2021-09-24 21:12:04.646816 : Epoch  1, Batch    202, Loss  0.962744, Average Loss  1.417471, Time  0.447805
2021-09-24 21:12:09.033045 : Epoch  1, Batch    116, Loss  1.412180, Average Loss  1.679318, Time  0.447923
2021-09-24 21:12:10.769110 : Epoch  1, Batch    203, Loss  0.970973, Average Loss  1.412944, Time  0.446184
2021-09-24 21:12:15.068339 : Epoch  1, Batch    117, Loss  1.392204, Average Loss  1.676864, Time  0.448707
2021-09-24 21:12:16.904075 : Epoch  1, Batch    204, Loss  0.988645, Average Loss  1.408550, Time  0.449479
2021-09-24 21:12:21.108876 : Epoch  1, Batch    118, Loss  1.381471, Average Loss  1.674360, Time  0.447446
2021-09-24 21:12:23.047605 : Epoch  1, Batch    205, Loss  0.978851, Average Loss  1.404118, Time  0.446968
2021-09-24 21:12:27.107542 : Epoch  1, Batch    119, Loss  1.397223, Average Loss  1.672032, Time  0.446011
2021-09-24 21:12:29.164077 : Epoch  1, Batch    206, Loss  0.966642, Average Loss  1.399621, Time  0.450957
2021-09-24 21:12:33.139568 : Epoch  1, Batch    120, Loss  1.381737, Average Loss  1.669612, Time  0.447770
2021-09-24 21:12:35.305348 : Epoch  1, Batch    207, Loss  0.972352, Average Loss  1.395191, Time  0.461936
2021-09-24 21:12:39.164566 : Epoch  1, Batch    121, Loss  1.370689, Average Loss  1.667142, Time  0.458958
2021-09-24 21:12:41.463808 : Epoch  1, Batch    208, Loss  0.967333, Average Loss  1.390782, Time  0.455645
2021-09-24 21:12:45.183634 : Epoch  1, Batch    122, Loss  1.367132, Average Loss  1.664683, Time  0.447387
2021-09-24 21:12:47.600361 : Epoch  1, Batch    209, Loss  0.971082, Average Loss  1.386430, Time  0.447752
2021-09-24 21:12:51.252946 : Epoch  1, Batch    123, Loss  1.374261, Average Loss  1.662322, Time  0.448579
2021-09-24 21:12:53.739670 : Epoch  1, Batch    210, Loss  0.965820, Average Loss  1.382086, Time  0.448621
2021-09-24 21:12:57.308875 : Epoch  1, Batch    124, Loss  1.344144, Average Loss  1.659756, Time  0.446846
2021-09-24 21:12:59.873634 : Epoch  1, Batch    211, Loss  0.966365, Average Loss  1.377770, Time  0.449494
2021-09-24 21:13:03.355101 : Epoch  1, Batch    125, Loss  1.357231, Average Loss  1.657336, Time  0.446882
2021-09-24 21:13:05.982618 : Epoch  1, Batch    212, Loss  0.956664, Average Loss  1.373454, Time  0.452121
2021-09-24 21:13:09.392726 : Epoch  1, Batch    126, Loss  1.335300, Average Loss  1.654780, Time  0.447926
2021-09-24 21:13:12.113160 : Epoch  1, Batch    213, Loss  0.965241, Average Loss  1.369219, Time  0.450847
2021-09-24 21:13:15.456513 : Epoch  1, Batch    127, Loss  1.332011, Average Loss  1.652238, Time  0.446420
2021-09-24 21:13:18.238889 : Epoch  1, Batch    214, Loss  0.957587, Average Loss  1.364996, Time  0.446956
2021-09-24 21:13:21.532674 : Epoch  1, Batch    128, Loss  1.309984, Average Loss  1.649564, Time  0.466220
2021-09-24 21:13:24.377148 : Epoch  1, Batch    215, Loss  0.969245, Average Loss  1.360866, Time  0.461761
2021-09-24 21:13:27.589610 : Epoch  1, Batch    129, Loss  1.309661, Average Loss  1.646929, Time  0.448261
2021-09-24 21:13:30.489561 : Epoch  1, Batch    216, Loss  0.958795, Average Loss  1.356750, Time  0.446359
2021-09-24 21:13:33.621965 : Epoch  1, Batch    130, Loss  1.291287, Average Loss  1.644194, Time  0.446635
2021-09-24 21:13:36.603834 : Epoch  1, Batch    217, Loss  0.960241, Average Loss  1.352669, Time  0.446710
2021-09-24 21:13:39.659051 : Epoch  1, Batch    131, Loss  1.270804, Average Loss  1.641343, Time  0.446422
2021-09-24 21:13:42.717803 : Epoch  1, Batch    218, Loss  0.946228, Average Loss  1.348597, Time  0.446179
2021-09-24 21:13:45.694254 : Epoch  1, Batch    132, Loss  1.246063, Average Loss  1.638349, Time  0.448464
2021-09-24 21:13:48.878691 : Epoch  1, Batch    219, Loss  0.980996, Average Loss  1.344735, Time  0.453834
2021-09-24 21:13:51.747444 : Epoch  1, Batch    133, Loss  1.248571, Average Loss  1.635418, Time  0.447741
2021-09-24 21:13:55.009186 : Epoch  1, Batch    220, Loss  0.970676, Average Loss  1.340880, Time  0.446224
2021-09-24 21:13:57.828314 : Epoch  1, Batch    134, Loss  1.242993, Average Loss  1.632490, Time  0.449839
2021-09-24 21:14:01.143416 : Epoch  1, Batch    221, Loss  0.947653, Average Loss  1.336956, Time  0.453931
2021-09-24 21:14:03.895298 : Epoch  1, Batch    135, Loss  1.256960, Average Loss  1.629708, Time  0.447131
2021-09-24 21:14:07.277637 : Epoch  1, Batch    222, Loss  0.953330, Average Loss  1.333070, Time  0.458662
2021-09-24 21:14:09.947234 : Epoch  1, Batch    136, Loss  1.241988, Average Loss  1.626857, Time  0.454601
2021-09-24 21:14:13.419555 : Epoch  1, Batch    223, Loss  0.947877, Average Loss  1.329174, Time  0.447519
2021-09-24 21:14:16.021431 : Epoch  1, Batch    137, Loss  1.220522, Average Loss  1.623891, Time  0.446761
2021-09-24 21:14:19.546671 : Epoch  1, Batch    224, Loss  0.936695, Average Loss  1.325253, Time  0.445534
2021-09-24 21:14:22.099475 : Epoch  1, Batch    138, Loss  1.201853, Average Loss  1.620833, Time  0.446794
2021-09-24 21:14:25.668921 : Epoch  1, Batch    225, Loss  0.956830, Average Loss  1.321458, Time  0.446420
2021-09-24 21:14:28.149240 : Epoch  1, Batch    139, Loss  1.199378, Average Loss  1.617801, Time  0.448579
2021-09-24 21:14:31.780928 : Epoch  1, Batch    226, Loss  0.954963, Average Loss  1.317726, Time  0.448487
2021-09-24 21:14:34.204071 : Epoch  1, Batch    140, Loss  1.203220, Average Loss  1.614840, Time  0.446748
2021-09-24 21:14:37.887695 : Epoch  1, Batch    227, Loss  0.943291, Average Loss  1.313996, Time  0.446163
2021-09-24 21:14:40.248647 : Epoch  1, Batch    141, Loss  1.174879, Average Loss  1.611719, Time  0.446345
2021-09-24 21:14:43.995810 : Epoch  1, Batch    228, Loss  0.952111, Average Loss  1.310333, Time  0.449393
2021-09-24 21:14:46.265012 : Epoch  1, Batch    142, Loss  1.161344, Average Loss  1.608548, Time  0.445843
2021-09-24 21:14:50.112781 : Epoch  1, Batch    229, Loss  0.951958, Average Loss  1.306625, Time  0.445952
2021-09-24 21:14:52.301864 : Epoch  1, Batch    143, Loss  1.162347, Average Loss  1.605427, Time  0.461768
2021-09-24 21:14:56.253008 : Epoch  1, Batch    230, Loss  0.949324, Average Loss  1.302889, Time  0.459094
2021-09-24 21:14:58.305980 : Epoch  1, Batch    144, Loss  1.158286, Average Loss  1.602322, Time  0.446450
2021-09-24 21:15:02.386418 : Epoch  1, Batch    231, Loss  0.954155, Average Loss  1.299169, Time  0.447311
2021-09-24 21:15:04.308799 : Epoch  1, Batch    145, Loss  1.155362, Average Loss  1.599240, Time  0.446141
2021-09-24 21:15:08.490844 : Epoch  1, Batch    232, Loss  0.929480, Average Loss  1.295421, Time  0.446778
2021-09-24 21:15:10.311652 : Epoch  1, Batch    146, Loss  1.150692, Average Loss  1.596167, Time  0.446375
2021-09-24 21:15:14.607680 : Epoch  1, Batch    233, Loss  0.936927, Average Loss  1.291675, Time  0.446865
2021-09-24 21:15:16.333482 : Epoch  1, Batch    147, Loss  1.136335, Average Loss  1.593039, Time  0.450747
2021-09-24 21:15:20.745424 : Epoch  1, Batch    234, Loss  0.929104, Average Loss  1.287902, Time  0.448121
2021-09-24 21:15:22.358427 : Epoch  1, Batch    148, Loss  1.133823, Average Loss  1.589937, Time  0.450867
2021-09-24 21:15:26.866257 : Epoch  1, Batch    235, Loss  0.944987, Average Loss  1.284236, Time  0.445336
2021-09-24 21:15:28.383621 : Epoch  1, Batch    149, Loss  1.148364, Average Loss  1.586973, Time  0.446672
2021-09-24 21:15:32.989563 : Epoch  1, Batch    236, Loss  0.943567, Average Loss  1.280527, Time  0.447950
2021-09-24 21:15:34.390375 : Epoch  1, Batch    150, Loss  1.124509, Average Loss  1.583890, Time  0.450338
2021-09-24 21:15:39.138563 : Epoch  1, Batch    237, Loss  0.939669, Average Loss  1.276830, Time  0.462985
2021-09-24 21:15:40.449876 : Epoch  1, Batch    151, Loss  1.122667, Average Loss  1.580835, Time  0.462011
2021-09-24 21:15:45.281884 : Epoch  1, Batch    238, Loss  0.940258, Average Loss  1.273204, Time  0.447848
2021-09-24 21:15:46.509830 : Epoch  1, Batch    152, Loss  1.123516, Average Loss  1.577827, Time  0.446570
2021-09-24 21:15:51.408490 : Epoch  1, Batch    239, Loss  0.929633, Average Loss  1.269529, Time  0.449144
2021-09-24 21:15:52.529682 : Epoch  1, Batch    153, Loss  1.110511, Average Loss  1.574772, Time  0.447079
2021-09-24 21:15:57.537856 : Epoch  1, Batch    240, Loss  0.929722, Average Loss  1.265847, Time  0.446595
2021-09-24 21:15:58.542838 : Epoch  1, Batch    154, Loss  1.119652, Average Loss  1.571817, Time  0.446294
2021-09-24 21:16:03.640411 : Epoch  1, Batch    241, Loss  0.941428, Average Loss  1.262226, Time  0.450143
2021-09-24 21:16:04.542843 : Epoch  1, Batch    155, Loss  1.113177, Average Loss  1.568858, Time  0.446476
2021-09-24 21:16:09.752261 : Epoch  1, Batch    242, Loss  0.934637, Average Loss  1.258546, Time  0.447378
2021-09-24 21:16:10.539961 : Epoch  1, Batch    156, Loss  1.102166, Average Loss  1.565866, Time  0.446473
2021-09-24 21:16:15.866911 : Epoch  1, Batch    243, Loss  0.922528, Average Loss  1.254799, Time  0.446161
2021-09-24 21:16:16.544913 : Epoch  1, Batch    157, Loss  1.100585, Average Loss  1.562903, Time  0.446249
2021-09-24 21:16:21.989226 : Epoch  1, Batch    244, Loss  0.932005, Average Loss  1.251156, Time  0.446091
2021-09-24 21:16:22.563910 : Epoch  1, Batch    158, Loss  1.089567, Average Loss  1.559907, Time  0.460358
2021-09-24 21:16:26.500795 : Epoch  1, Batch    245, Loss  0.929034, Average Loss  1.247491, Time  0.361908
2021-09-24 21:16:28.580000 : Epoch  1, Batch    159, Loss  1.085354, Average Loss  1.556922, Time  0.446892
2021-09-24 21:16:32.647851 : Epoch  1, Batch    246, Loss  0.929685, Average Loss  1.243798, Time  0.452092
2021-09-24 21:16:34.597801 : Epoch  1, Batch    160, Loss  1.081247, Average Loss  1.553950, Time  0.446677
2021-09-24 21:16:38.776547 : Epoch  1, Batch    247, Loss  0.953907, Average Loss  1.240268, Time  0.453327
2021-09-24 21:16:40.621290 : Epoch  1, Batch    161, Loss  1.079019, Average Loss  1.551000, Time  0.450357
2021-09-24 21:16:44.897510 : Epoch  1, Batch    248, Loss  0.940756, Average Loss  1.236638, Time  0.446626
2021-09-24 21:16:46.627602 : Epoch  1, Batch    162, Loss  1.079637, Average Loss  1.548090, Time  0.447178
2021-09-24 21:16:50.987189 : Epoch  1, Batch    249, Loss  0.937101, Average Loss  1.232988, Time  0.446384
2021-09-24 21:16:52.615883 : Epoch  1, Batch    163, Loss  1.065994, Average Loss  1.545132, Time  0.446418
2021-09-24 21:16:57.130045 : Epoch  1, Batch    250, Loss  0.922386, Average Loss  1.229280, Time  0.453885
2021-09-24 21:16:58.646863 : Epoch  1, Batch    164, Loss  1.068830, Average Loss  1.542228, Time  0.445478
2021-09-24 21:17:03.241347 : Epoch  1, Batch    251, Loss  0.920340, Average Loss  1.225598, Time  0.448461
2021-09-24 21:17:04.672349 : Epoch  1, Batch    165, Loss  1.056024, Average Loss  1.539281, Time  0.446408
2021-09-24 21:17:09.355763 : Epoch  1, Batch    252, Loss  0.937794, Average Loss  1.222007, Time  0.446647
2021-09-24 21:17:10.710753 : Epoch  1, Batch    166, Loss  1.064531, Average Loss  1.536421, Time  0.459121
2021-09-24 21:17:15.465848 : Epoch  1, Batch    253, Loss  0.928317, Average Loss  1.218337, Time  0.452884
2021-09-24 21:17:16.730022 : Epoch  1, Batch    167, Loss  1.077689, Average Loss  1.533675, Time  0.445944
2021-09-24 21:17:21.585797 : Epoch  1, Batch    254, Loss  0.941854, Average Loss  1.214743, Time  0.446137
2021-09-24 21:17:22.743875 : Epoch  1, Batch    168, Loss  1.058486, Average Loss  1.530846, Time  0.446624
2021-09-24 21:17:27.699902 : Epoch  1, Batch    255, Loss  0.932458, Average Loss  1.211094, Time  0.446410
2021-09-24 21:17:28.780511 : Epoch  1, Batch    169, Loss  1.058915, Average Loss  1.528054, Time  0.452724
2021-09-24 21:17:33.818431 : Epoch  1, Batch    256, Loss  0.926536, Average Loss  1.207439, Time  0.447682
2021-09-24 21:17:34.814867 : Epoch  1, Batch    170, Loss  1.066921, Average Loss  1.525341, Time  0.446403
2021-09-24 21:17:39.917675 : Epoch  1, Batch    257, Loss  0.929355, Average Loss  1.203798, Time  0.447490
2021-09-24 21:17:40.846903 : Epoch  1, Batch    171, Loss  1.062681, Average Loss  1.522635, Time  0.449342
2021-09-24 21:17:46.017871 : Epoch  1, Batch    258, Loss  0.936676, Average Loss  1.200203, Time  0.446474
2021-09-24 21:17:46.862147 : Epoch  1, Batch    172, Loss  1.075047, Average Loss  1.520033, Time  0.446118
2021-09-24 21:17:52.096366 : Epoch  1, Batch    259, Loss  0.928060, Average Loss  1.196533, Time  0.453539
2021-09-24 21:17:52.887436 : Epoch  1, Batch    173, Loss  1.052569, Average Loss  1.517331, Time  0.454340
2021-09-24 21:17:58.172272 : Epoch  1, Batch    260, Loss  0.949484, Average Loss  1.192984, Time  0.460289
2021-09-24 21:17:58.920929 : Epoch  1, Batch    174, Loss  1.053642, Average Loss  1.514666, Time  0.449055
2021-09-24 21:18:04.254527 : Epoch  1, Batch    261, Loss  0.921035, Average Loss  1.189368, Time  0.445952
2021-09-24 21:18:04.933646 : Epoch  1, Batch    175, Loss  1.055947, Average Loss  1.512045, Time  0.448212
2021-09-24 21:18:10.361289 : Epoch  1, Batch    262, Loss  0.902781, Average Loss  1.185615, Time  0.459508
2021-09-24 21:18:10.948580 : Epoch  1, Batch    176, Loss  1.053509, Average Loss  1.509440, Time  0.446352
2021-09-24 21:18:16.431114 : Epoch  1, Batch    263, Loss  0.911479, Average Loss  1.181884, Time  0.446045
2021-09-24 21:18:16.946552 : Epoch  1, Batch    177, Loss  1.034327, Average Loss  1.506755, Time  0.451304
2021-09-24 21:18:22.511869 : Epoch  1, Batch    264, Loss  0.918674, Average Loss  1.178222, Time  0.447883
2021-09-24 21:18:22.939424 : Epoch  1, Batch    178, Loss  1.038189, Average Loss  1.504123, Time  0.448848
2021-09-24 21:18:28.594193 : Epoch  1, Batch    265, Loss  0.917170, Average Loss  1.174542, Time  0.446901
2021-09-24 21:18:28.977345 : Epoch  1, Batch    179, Loss  1.044305, Average Loss  1.501554, Time  0.450198
2021-09-24 21:18:34.707619 : Epoch  1, Batch    266, Loss  0.925691, Average Loss  1.170861, Time  0.447316
2021-09-24 21:18:35.034538 : Epoch  1, Batch    180, Loss  1.041526, Average Loss  1.498998, Time  0.448920
2021-09-24 21:18:40.787923 : Epoch  1, Batch    267, Loss  0.910355, Average Loss  1.167181, Time  0.446743
2021-09-24 21:18:41.077162 : Epoch  1, Batch    181, Loss  1.053760, Average Loss  1.496539, Time  0.462860
2021-09-24 21:18:46.879854 : Epoch  1, Batch    268, Loss  0.913708, Average Loss  1.163510, Time  0.456222
2021-09-24 21:18:47.084808 : Epoch  1, Batch    182, Loss  1.032193, Average Loss  1.493987, Time  0.450876
2021-09-24 21:18:53.006642 : Epoch  1, Batch    269, Loss  0.905877, Average Loss  1.159765, Time  0.446701
2021-09-24 21:18:53.089294 : Epoch  1, Batch    183, Loss  1.037252, Average Loss  1.491491, Time  0.447626
2021-09-24 21:18:59.084680 : Epoch  1, Batch    270, Loss  0.909669, Average Loss  1.156060, Time  0.445729
2021-09-24 21:18:59.114555 : Epoch  1, Batch    184, Loss  1.033892, Average Loss  1.489004, Time  0.449036
2021-09-24 21:19:05.168851 : Epoch  1, Batch    271, Loss  0.940393, Average Loss  1.152518, Time  0.446359
2021-09-24 21:19:05.197977 : Epoch  1, Batch    185, Loss  1.046407, Average Loss  1.486612, Time  0.451099
2021-09-24 21:19:11.214712 : Epoch  1, Batch    186, Loss  1.045486, Average Loss  1.484240, Time  0.448038
2021-09-24 21:19:11.244355 : Epoch  1, Batch    272, Loss  0.925165, Average Loss  1.148966, Time  0.447651
2021-09-24 21:19:17.229709 : Epoch  1, Batch    187, Loss  1.031731, Average Loss  1.481820, Time  0.451483
2021-09-24 21:19:17.336632 : Epoch  1, Batch    273, Loss  0.927735, Average Loss  1.145402, Time  0.446161
2021-09-24 21:19:23.261246 : Epoch  1, Batch    188, Loss  1.032732, Average Loss  1.479432, Time  0.460085
2021-09-24 21:19:23.427780 : Epoch  1, Batch    274, Loss  0.928397, Average Loss  1.141798, Time  0.449067
2021-09-24 21:19:29.299158 : Epoch  1, Batch    189, Loss  1.026649, Average Loss  1.477036, Time  0.446304
2021-09-24 21:19:29.513591 : Epoch  1, Batch    275, Loss  0.910070, Average Loss  1.138119, Time  0.453587
2021-09-24 21:19:35.328044 : Epoch  1, Batch    190, Loss  1.024272, Average Loss  1.474653, Time  0.454572
2021-09-24 21:19:35.595541 : Epoch  1, Batch    276, Loss  0.919171, Average Loss  1.134512, Time  0.451768
2021-09-24 21:19:41.356126 : Epoch  1, Batch    191, Loss  1.005261, Average Loss  1.472196, Time  0.450089
2021-09-24 21:19:41.677785 : Epoch  1, Batch    277, Loss  0.909733, Average Loss  1.130858, Time  0.449955
2021-09-24 21:19:47.358082 : Epoch  1, Batch    192, Loss  1.009492, Average Loss  1.469786, Time  0.449665
2021-09-24 21:19:47.738945 : Epoch  1, Batch    278, Loss  0.905610, Average Loss  1.127188, Time  0.447449
2021-09-24 21:19:53.410494 : Epoch  1, Batch    193, Loss  1.019172, Average Loss  1.467451, Time  0.445910
2021-09-24 21:19:53.817914 : Epoch  1, Batch    279, Loss  0.919091, Average Loss  1.123587, Time  0.446548
2021-09-24 21:19:59.438086 : Epoch  1, Batch    194, Loss  1.022544, Average Loss  1.465157, Time  0.446106
2021-09-24 21:19:59.910713 : Epoch  1, Batch    280, Loss  0.921681, Average Loss  1.120011, Time  0.447005
2021-09-24 21:20:05.472258 : Epoch  1, Batch    195, Loss  1.025699, Average Loss  1.462904, Time  0.451136
2021-09-24 21:20:05.995871 : Epoch  1, Batch    281, Loss  0.925941, Average Loss  1.116416, Time  0.447900
2021-09-24 21:20:11.511856 : Epoch  1, Batch    196, Loss  1.011361, Average Loss  1.460600, Time  0.463086
2021-09-24 21:20:12.077707 : Epoch  1, Batch    282, Loss  0.926369, Average Loss  1.112885, Time  0.445909
2021-09-24 21:20:17.518932 : Epoch  1, Batch    197, Loss  1.020810, Average Loss  1.458368, Time  0.446637
2021-09-24 21:20:18.175181 : Epoch  1, Batch    283, Loss  0.904580, Average Loss  1.109267, Time  0.461145
2021-09-24 21:20:23.550995 : Epoch  1, Batch    198, Loss  1.012549, Average Loss  1.456116, Time  0.447861
2021-09-24 21:20:24.301675 : Epoch  1, Batch    284, Loss  0.915176, Average Loss  1.105681, Time  0.449576
2021-09-24 21:20:29.600877 : Epoch  1, Batch    199, Loss  1.008407, Average Loss  1.453866, Time  0.446476
2021-09-24 21:20:30.409236 : Epoch  1, Batch    285, Loss  0.907757, Average Loss  1.102147, Time  0.452265
2021-09-24 21:20:35.610113 : Epoch  1, Batch    200, Loss  1.022739, Average Loss  1.451711, Time  0.446782
2021-09-24 21:20:36.514012 : Epoch  1, Batch    286, Loss  0.903697, Average Loss  1.098539, Time  0.448263
2021-09-24 21:20:42.638437 : Epoch  1, Batch    287, Loss  0.908784, Average Loss  1.095076, Time  0.452770
2021-09-24 21:20:48.717048 : Epoch  1, Batch    288, Loss  0.912389, Average Loss  1.091658, Time  0.446881
2021-09-24 21:20:54.807285 : Epoch  1, Batch    289, Loss  0.915250, Average Loss  1.088313, Time  0.450042
2021-09-24 21:21:00.920659 : Epoch  1, Batch    290, Loss  0.922241, Average Loss  1.084997, Time  0.455010
2021-09-24 21:21:07.018068 : Epoch  1, Batch    291, Loss  0.899286, Average Loss  1.081632, Time  0.454920
2021-09-24 21:21:13.100087 : Epoch  1, Batch    292, Loss  0.920745, Average Loss  1.078446, Time  0.446506
2021-09-24 21:21:19.218811 : Epoch  1, Batch    293, Loss  0.905678, Average Loss  1.075164, Time  0.450687
2021-09-24 21:21:25.330328 : Epoch  1, Batch    294, Loss  0.917957, Average Loss  1.072027, Time  0.452232
2021-09-24 21:21:31.442183 : Epoch  1, Batch    295, Loss  0.925386, Average Loss  1.069019, Time  0.452832
2021-09-24 21:21:37.550218 : Epoch  1, Batch    296, Loss  0.905282, Average Loss  1.065884, Time  0.446040
2021-09-24 21:21:43.663699 : Epoch  1, Batch    297, Loss  0.905980, Average Loss  1.062856, Time  0.449718
2021-09-24 21:21:49.778401 : Epoch  1, Batch    298, Loss  0.902081, Average Loss  1.059853, Time  0.461233
2021-09-24 21:21:55.886599 : Epoch  1, Batch    299, Loss  0.897058, Average Loss  1.056842, Time  0.449234
2021-09-24 21:22:01.983804 : Epoch  1, Batch    300, Loss  0.909525, Average Loss  1.053961, Time  0.453219
2021-09-24 21:25:21.321712 : CheckPoint: Validation Loss  0.00017231, Best Loss  0.00017231
2021-09-24 21:25:21.369393 : Best Model Updated
2021-09-24 21:25:28.183483 : Epoch  1, Batch    201, Loss  0.998119, Average Loss  1.446897, Time  0.463464
2021-09-24 21:25:34.206319 : Epoch  1, Batch    202, Loss  1.000974, Average Loss  1.442131, Time  0.448394
2021-09-24 21:25:40.245429 : Epoch  1, Batch    203, Loss  1.006336, Average Loss  1.437388, Time  0.449344
2021-09-24 21:25:46.281288 : Epoch  1, Batch    204, Loss  1.022036, Average Loss  1.432730, Time  0.452734
2021-09-24 21:25:52.307733 : Epoch  1, Batch    205, Loss  1.006089, Average Loss  1.427985, Time  0.447826
2021-09-24 21:25:58.342904 : Epoch  1, Batch    206, Loss  0.986691, Average Loss  1.423175, Time  0.446886
2021-09-24 21:26:04.367467 : Epoch  1, Batch    207, Loss  0.984245, Average Loss  1.418378, Time  0.447391
2021-09-24 21:26:10.389646 : Epoch  1, Batch    208, Loss  0.995689, Average Loss  1.413656, Time  0.445808
2021-09-24 21:26:16.438464 : Epoch  1, Batch    209, Loss  0.985005, Average Loss  1.408936, Time  0.458283
2021-09-24 21:26:22.481921 : Epoch  1, Batch    210, Loss  0.987073, Average Loss  1.404265, Time  0.449814
2021-09-24 21:26:28.534431 : Epoch  1, Batch    211, Loss  0.994575, Average Loss  1.399702, Time  0.449774
2021-09-24 21:26:34.572122 : Epoch  1, Batch    212, Loss  0.998115, Average Loss  1.395200, Time  0.446631
2021-09-24 21:26:40.607815 : Epoch  1, Batch    213, Loss  0.988026, Average Loss  1.390683, Time  0.451001
2021-09-24 21:26:46.670685 : Epoch  1, Batch    214, Loss  0.966015, Average Loss  1.386132, Time  0.450657
2021-09-24 21:26:52.008840 : CheckPoint: Validation Loss  0.00015402, Best Loss  0.00015402
2021-09-24 21:26:52.043526 : Best Model Updated
2021-09-24 21:26:52.723918 : Epoch  1, Batch    215, Loss  0.969047, Average Loss  1.381663, Time  0.448605
2021-09-24 21:26:58.854523 : Epoch  1, Batch    216, Loss  0.984913, Average Loss  1.377342, Time  0.460776
2021-09-24 21:26:58.940533 : Epoch  1, Batch    301, Loss  0.904630, Average Loss  1.051161, Time  0.449572
2021-09-24 21:27:04.893614 : Epoch  1, Batch    217, Loss  1.001408, Average Loss  1.373167, Time  0.445887
2021-09-24 21:27:05.114593 : Epoch  1, Batch    302, Loss  0.908033, Average Loss  1.048378, Time  0.449275
2021-09-24 21:27:10.974498 : Epoch  1, Batch    218, Loss  0.974008, Average Loss  1.368906, Time  0.452776
2021-09-24 21:27:11.295990 : Epoch  1, Batch    303, Loss  0.923443, Average Loss  1.045733, Time  0.457023
2021-09-24 21:27:17.024043 : Epoch  1, Batch    219, Loss  0.977304, Average Loss  1.364726, Time  0.447533
2021-09-24 21:27:17.455697 : Epoch  1, Batch    304, Loss  0.914892, Average Loss  1.043028, Time  0.446770
2021-09-24 21:27:23.089690 : Epoch  1, Batch    220, Loss  0.975633, Average Loss  1.360608, Time  0.453638
2021-09-24 21:27:23.622281 : Epoch  1, Batch    305, Loss  0.908881, Average Loss  1.040380, Time  0.448540
2021-09-24 21:27:29.134487 : Epoch  1, Batch    221, Loss  0.976694, Average Loss  1.356555, Time  0.449283
2021-09-24 21:27:29.818480 : Epoch  1, Batch    306, Loss  0.893990, Average Loss  1.037737, Time  0.448709
2021-09-24 21:27:35.171821 : Epoch  1, Batch    222, Loss  0.989818, Average Loss  1.352645, Time  0.446396
2021-09-24 21:27:35.993804 : Epoch  1, Batch    307, Loss  0.908312, Average Loss  1.035121, Time  0.446937
2021-09-24 21:27:41.238020 : Epoch  1, Batch    223, Loss  0.985714, Average Loss  1.348755, Time  0.459290
2021-09-24 21:27:42.164175 : Epoch  1, Batch    308, Loss  0.913077, Average Loss  1.032605, Time  0.448903
2021-09-24 21:27:47.302892 : Epoch  1, Batch    224, Loss  0.971070, Average Loss  1.344843, Time  0.459978
2021-09-24 21:27:48.320657 : Epoch  1, Batch    309, Loss  0.913793, Average Loss  1.030163, Time  0.446578
2021-09-24 21:27:53.352722 : Epoch  1, Batch    225, Loss  0.960402, Average Loss  1.340960, Time  0.450718
2021-09-24 21:27:54.489504 : Epoch  1, Batch    310, Loss  0.904771, Average Loss  1.027649, Time  0.446960
2021-09-24 21:27:59.408532 : Epoch  1, Batch    226, Loss  0.961098, Average Loss  1.337106, Time  0.452117
2021-09-24 21:28:00.681478 : Epoch  1, Batch    311, Loss  0.894967, Average Loss  1.025164, Time  0.461297
2021-09-24 21:28:05.459744 : Epoch  1, Batch    227, Loss  0.971374, Average Loss  1.333346, Time  0.446746
2021-09-24 21:28:06.851156 : Epoch  1, Batch    312, Loss  0.896762, Average Loss  1.022730, Time  0.450520
2021-09-24 21:28:11.508835 : Epoch  1, Batch    228, Loss  0.960528, Average Loss  1.329565, Time  0.448612
2021-09-24 21:28:13.013803 : Epoch  1, Batch    313, Loss  0.901938, Average Loss  1.020369, Time  0.448220
2021-09-24 21:28:17.574852 : Epoch  1, Batch    229, Loss  0.967604, Average Loss  1.325887, Time  0.449912
2021-09-24 21:28:19.191815 : Epoch  1, Batch    314, Loss  0.893413, Average Loss  1.017938, Time  0.446944
2021-09-24 21:28:23.624395 : Epoch  1, Batch    230, Loss  0.965809, Average Loss  1.322220, Time  0.446931
2021-09-24 21:28:25.380984 : Epoch  1, Batch    315, Loss  0.909533, Average Loss  1.015634, Time  0.446353
2021-09-24 21:28:29.666534 : Epoch  1, Batch    231, Loss  0.961348, Average Loss  1.318537, Time  0.462522
2021-09-24 21:28:31.538968 : Epoch  1, Batch    316, Loss  0.908478, Average Loss  1.013378, Time  0.446062
2021-09-24 21:28:35.707061 : Epoch  1, Batch    232, Loss  0.964154, Average Loss  1.314853, Time  0.449227
2021-09-24 21:28:37.703663 : Epoch  1, Batch    317, Loss  0.892148, Average Loss  1.011102, Time  0.446526
2021-09-24 21:28:41.760946 : Epoch  1, Batch    233, Loss  0.947877, Average Loss  1.311149, Time  0.451065
2021-09-24 21:28:43.868852 : Epoch  1, Batch    318, Loss  0.888818, Average Loss  1.008845, Time  0.454899
2021-09-24 21:28:47.818173 : Epoch  1, Batch    234, Loss  0.960679, Average Loss  1.307488, Time  0.448888
2021-09-24 21:28:50.021162 : Epoch  1, Batch    319, Loss  0.896919, Average Loss  1.006611, Time  0.446657
2021-09-24 21:28:53.866671 : Epoch  1, Batch    235, Loss  0.949352, Average Loss  1.303792, Time  0.447571
2021-09-24 21:28:56.196410 : Epoch  1, Batch    320, Loss  0.897605, Average Loss  1.004289, Time  0.447037
2021-09-24 21:28:59.912866 : Epoch  1, Batch    236, Loss  0.951046, Average Loss  1.300209, Time  0.445620
2021-09-24 21:29:02.388831 : Epoch  1, Batch    321, Loss  0.912959, Average Loss  1.002290, Time  0.450042
2021-09-24 21:29:05.957307 : Epoch  1, Batch    237, Loss  0.951705, Average Loss  1.296584, Time  0.448547
2021-09-24 21:29:08.573707 : Epoch  1, Batch    322, Loss  0.908650, Average Loss  1.000191, Time  0.449839
2021-09-24 21:29:12.019601 : Epoch  1, Batch    238, Loss  0.936986, Average Loss  1.292858, Time  0.449888
2021-09-24 21:29:14.758567 : Epoch  1, Batch    323, Loss  0.901554, Average Loss  0.998062, Time  0.447591
2021-09-24 21:29:18.067974 : Epoch  1, Batch    239, Loss  0.963360, Average Loss  1.289312, Time  0.459543
2021-09-24 21:29:20.936259 : Epoch  1, Batch    324, Loss  0.912817, Average Loss  0.996003, Time  0.446592
2021-09-24 21:29:24.103603 : Epoch  1, Batch    240, Loss  0.961512, Average Loss  1.285757, Time  0.448102
2021-09-24 21:29:27.121327 : Epoch  1, Batch    325, Loss  0.904824, Average Loss  0.993931, Time  0.447817
2021-09-24 21:29:30.120939 : Epoch  1, Batch    241, Loss  0.940831, Average Loss  1.282096, Time  0.448423
2021-09-24 21:29:33.304900 : Epoch  1, Batch    326, Loss  0.897811, Average Loss  0.991941, Time  0.458430
2021-09-24 21:29:36.159645 : Epoch  1, Batch    242, Loss  0.955168, Average Loss  1.278522, Time  0.446059
2021-09-24 21:29:39.462809 : Epoch  1, Batch    327, Loss  0.896626, Average Loss  0.989914, Time  0.447040
2021-09-24 21:29:42.185528 : Epoch  1, Batch    243, Loss  0.931899, Average Loss  1.274806, Time  0.448837
2021-09-24 21:29:45.616606 : Epoch  1, Batch    328, Loss  0.902128, Average Loss  0.987932, Time  0.449703
2021-09-24 21:29:48.242874 : Epoch  1, Batch    244, Loss  0.959206, Average Loss  1.271243, Time  0.447998
2021-09-24 21:29:51.778252 : Epoch  1, Batch    329, Loss  0.894179, Average Loss  0.985919, Time  0.445768
2021-09-24 21:29:54.275452 : Epoch  1, Batch    245, Loss  0.956959, Average Loss  1.267701, Time  0.448422
2021-09-24 21:29:57.948191 : Epoch  1, Batch    330, Loss  0.900821, Average Loss  0.983980, Time  0.449013
2021-09-24 21:30:00.337726 : Epoch  1, Batch    246, Loss  0.944718, Average Loss  1.264118, Time  0.462120
2021-09-24 21:30:04.108186 : Epoch  1, Batch    331, Loss  0.903594, Average Loss  0.982032, Time  0.448025
2021-09-24 21:30:06.402741 : Epoch  1, Batch    247, Loss  0.945203, Average Loss  1.260531, Time  0.453599
2021-09-24 21:30:10.269521 : Epoch  1, Batch    332, Loss  0.892273, Average Loss  0.980143, Time  0.447955
2021-09-24 21:30:12.431474 : Epoch  1, Batch    248, Loss  0.930320, Average Loss  1.256916, Time  0.446615
2021-09-24 21:30:16.447167 : Epoch  1, Batch    333, Loss  0.903875, Average Loss  0.978368, Time  0.456942
2021-09-24 21:30:18.472890 : Epoch  1, Batch    249, Loss  0.954548, Average Loss  1.253354, Time  0.448015
2021-09-24 21:30:22.610368 : Epoch  1, Batch    334, Loss  0.907331, Average Loss  0.976616, Time  0.447442
2021-09-24 21:30:24.502703 : Epoch  1, Batch    250, Loss  0.949911, Average Loss  1.249753, Time  0.446598
2021-09-24 21:30:28.788690 : Epoch  1, Batch    335, Loss  0.898440, Average Loss  0.974870, Time  0.446862
2021-09-24 21:30:30.572665 : Epoch  1, Batch    251, Loss  0.940669, Average Loss  1.246196, Time  0.451027
2021-09-24 21:30:34.952235 : Epoch  1, Batch    336, Loss  0.912542, Average Loss  0.973270, Time  0.447051
2021-09-24 21:30:36.606594 : Epoch  1, Batch    252, Loss  0.932885, Average Loss  1.242490, Time  0.447009
2021-09-24 21:30:41.121355 : Epoch  1, Batch    337, Loss  0.914167, Average Loss  0.971723, Time  0.446789
2021-09-24 21:30:42.656173 : Epoch  1, Batch    253, Loss  0.950127, Average Loss  1.238872, Time  0.449262
2021-09-24 21:30:47.281459 : Epoch  1, Batch    338, Loss  0.907805, Average Loss  0.970307, Time  0.453608
2021-09-24 21:30:48.690039 : Epoch  1, Batch    254, Loss  0.953901, Average Loss  1.235319, Time  0.453124
2021-09-24 21:30:53.452796 : Epoch  1, Batch    339, Loss  0.891584, Average Loss  0.968731, Time  0.445738
2021-09-24 21:30:54.760104 : Epoch  1, Batch    255, Loss  0.923368, Average Loss  1.231622, Time  0.452376
2021-09-24 21:30:59.633843 : Epoch  1, Batch    340, Loss  0.894995, Average Loss  0.967212, Time  0.447369
2021-09-24 21:31:00.823818 : Epoch  1, Batch    256, Loss  0.934122, Average Loss  1.227971, Time  0.448169
2021-09-24 21:31:05.816767 : Epoch  1, Batch    341, Loss  0.900240, Average Loss  0.965847, Time  0.462704
2021-09-24 21:31:06.863322 : Epoch  1, Batch    257, Loss  0.932131, Average Loss  1.224327, Time  0.449406
2021-09-24 21:31:11.988336 : Epoch  1, Batch    342, Loss  0.895607, Average Loss  0.964428, Time  0.447072
2021-09-24 21:31:12.930910 : Epoch  1, Batch    258, Loss  0.934407, Average Loss  1.220668, Time  0.449764
2021-09-24 21:31:18.156918 : Epoch  1, Batch    343, Loss  0.908585, Average Loss  0.963149, Time  0.449332
2021-09-24 21:31:18.981175 : Epoch  1, Batch    259, Loss  0.942434, Average Loss  1.217055, Time  0.446439
2021-09-24 21:31:24.347796 : Epoch  1, Batch    344, Loss  0.912029, Average Loss  0.961857, Time  0.446103
2021-09-24 21:31:25.012141 : Epoch  1, Batch    260, Loss  0.948890, Average Loss  1.213552, Time  0.449226
2021-09-24 21:31:30.527845 : Epoch  1, Batch    345, Loss  0.906468, Average Loss  0.960578, Time  0.446720
2021-09-24 21:31:31.075912 : Epoch  1, Batch    261, Loss  0.935462, Average Loss  1.209913, Time  0.460226
2021-09-24 21:31:36.694792 : Epoch  1, Batch    346, Loss  0.897597, Average Loss  0.959287, Time  0.446445
2021-09-24 21:31:37.113965 : Epoch  1, Batch    262, Loss  0.930899, Average Loss  1.206300, Time  0.448569
2021-09-24 21:31:42.858127 : Epoch  1, Batch    347, Loss  0.900363, Average Loss  0.958082, Time  0.445943
2021-09-24 21:31:43.136538 : Epoch  1, Batch    263, Loss  0.944704, Average Loss  1.202711, Time  0.446284
2021-09-24 21:31:49.026661 : Epoch  1, Batch    348, Loss  0.902377, Average Loss  0.956952, Time  0.456850
2021-09-24 21:31:49.151919 : Epoch  1, Batch    264, Loss  0.936459, Average Loss  1.199061, Time  0.448894
2021-09-24 21:31:55.165921 : Epoch  1, Batch    265, Loss  0.931599, Average Loss  1.195418, Time  0.447484
2021-09-24 21:31:55.202143 : Epoch  1, Batch    349, Loss  0.896988, Average Loss  0.955800, Time  0.448836
2021-09-24 21:32:01.243255 : Epoch  1, Batch    266, Loss  0.926015, Average Loss  1.191811, Time  0.448717
2021-09-24 21:32:01.363386 : Epoch  1, Batch    350, Loss  0.889169, Average Loss  0.954653, Time  0.450429
2021-09-24 21:32:07.272591 : Epoch  1, Batch    267, Loss  0.946650, Average Loss  1.188255, Time  0.448064
2021-09-24 21:32:07.537507 : Epoch  1, Batch    351, Loss  0.897245, Average Loss  0.953507, Time  0.450808
2021-09-24 21:32:13.298524 : Epoch  1, Batch    268, Loss  0.930324, Average Loss  1.184648, Time  0.446199
2021-09-24 21:32:13.672706 : Epoch  1, Batch    352, Loss  0.888887, Average Loss  0.952416, Time  0.447935
2021-09-24 21:32:19.325452 : Epoch  1, Batch    269, Loss  0.936108, Average Loss  1.181030, Time  0.461473
2021-09-24 21:32:19.805282 : Epoch  1, Batch    353, Loss  0.887221, Average Loss  0.951254, Time  0.446196
2021-09-24 21:32:25.384138 : Epoch  1, Batch    270, Loss  0.932073, Average Loss  1.177421, Time  0.452090
2021-09-24 21:32:25.966035 : Epoch  1, Batch    354, Loss  0.899205, Average Loss  0.950246, Time  0.446659
2021-09-24 21:32:31.421343 : Epoch  1, Batch    271, Loss  0.938330, Average Loss  1.173864, Time  0.446639
2021-09-24 21:32:32.124774 : Epoch  1, Batch    355, Loss  0.910201, Average Loss  0.949235, Time  0.445585
2021-09-24 21:32:37.461718 : Epoch  1, Batch    272, Loss  0.925297, Average Loss  1.170191, Time  0.451157
2021-09-24 21:32:38.291543 : Epoch  1, Batch    356, Loss  0.889117, Average Loss  0.948170, Time  0.457411
2021-09-24 21:32:43.488322 : Epoch  1, Batch    273, Loss  0.925939, Average Loss  1.166562, Time  0.446698
2021-09-24 21:32:44.464335 : Epoch  1, Batch    357, Loss  0.896355, Average Loss  0.947153, Time  0.448738
2021-09-24 21:32:49.517031 : Epoch  1, Batch    274, Loss  0.937894, Average Loss  1.163053, Time  0.446412
2021-09-24 21:32:50.640976 : Epoch  1, Batch    358, Loss  0.900683, Average Loss  0.946163, Time  0.448085
2021-09-24 21:32:55.563158 : Epoch  1, Batch    275, Loss  0.929631, Average Loss  1.159418, Time  0.448070
2021-09-24 21:32:56.810973 : Epoch  1, Batch    359, Loss  0.901698, Average Loss  0.945230, Time  0.449086
2021-09-24 21:33:01.622152 : Epoch  1, Batch    276, Loss  0.935013, Average Loss  1.155803, Time  0.446589
2021-09-24 21:33:02.961648 : Epoch  1, Batch    360, Loss  0.891445, Average Loss  0.944269, Time  0.449193
2021-09-24 21:33:07.668191 : Epoch  1, Batch    277, Loss  0.934600, Average Loss  1.152217, Time  0.459065
2021-09-24 21:33:09.123799 : Epoch  1, Batch    361, Loss  0.900658, Average Loss  0.943271, Time  0.448811
2021-09-24 21:33:13.724864 : Epoch  1, Batch    278, Loss  0.935874, Average Loss  1.148687, Time  0.447882
2021-09-24 21:33:15.281956 : Epoch  1, Batch    362, Loss  0.906493, Average Loss  0.942435, Time  0.446806
2021-09-24 21:33:19.771480 : Epoch  1, Batch    279, Loss  0.938333, Average Loss  1.145098, Time  0.455648
2021-09-24 21:33:21.476977 : Epoch  1, Batch    363, Loss  0.895817, Average Loss  0.941497, Time  0.454750
2021-09-24 21:33:25.819681 : Epoch  1, Batch    280, Loss  0.937189, Average Loss  1.141526, Time  0.452477
2021-09-24 21:33:27.673800 : Epoch  1, Batch    364, Loss  0.908969, Average Loss  0.940619, Time  0.449108
2021-09-24 21:33:31.871421 : Epoch  1, Batch    281, Loss  0.935801, Average Loss  1.137965, Time  0.452830
2021-09-24 21:33:33.860482 : Epoch  1, Batch    365, Loss  0.888466, Average Loss  0.939766, Time  0.446777
2021-09-24 21:33:37.935167 : Epoch  1, Batch    282, Loss  0.937487, Average Loss  1.134478, Time  0.448015
2021-09-24 21:33:40.055984 : Epoch  1, Batch    366, Loss  0.904225, Average Loss  0.938951, Time  0.449472
2021-09-24 21:33:43.985689 : Epoch  1, Batch    283, Loss  0.917277, Average Loss  1.130814, Time  0.446620
2021-09-24 21:33:46.243807 : Epoch  1, Batch    367, Loss  0.901420, Average Loss  0.938066, Time  0.447309
2021-09-24 21:33:50.055692 : Epoch  1, Batch    284, Loss  0.931342, Average Loss  1.127226, Time  0.463812
2021-09-24 21:33:52.419603 : Epoch  1, Batch    368, Loss  0.903280, Average Loss  0.937297, Time  0.446808
2021-09-24 21:33:56.124368 : Epoch  1, Batch    285, Loss  0.932996, Average Loss  1.123709, Time  0.447584
2021-09-24 21:33:58.643911 : Epoch  1, Batch    369, Loss  0.901758, Average Loss  0.936560, Time  0.448511
2021-09-24 21:34:02.148297 : Epoch  1, Batch    286, Loss  0.943390, Average Loss  1.120302, Time  0.447247
2021-09-24 21:34:04.806177 : Epoch  1, Batch    370, Loss  0.875328, Average Loss  0.935621, Time  0.448017
2021-09-24 21:34:08.169622 : Epoch  1, Batch    287, Loss  0.929776, Average Loss  1.116761, Time  0.446851
2021-09-24 21:34:10.968461 : Epoch  1, Batch    371, Loss  0.881801, Average Loss  0.934748, Time  0.460168
2021-09-24 21:34:14.203566 : Epoch  1, Batch    288, Loss  0.933389, Average Loss  1.113287, Time  0.446778
2021-09-24 21:34:17.196487 : Epoch  1, Batch    372, Loss  0.881656, Average Loss  0.933854, Time  0.448616
2021-09-24 21:34:20.245105 : Epoch  1, Batch    289, Loss  0.941746, Average Loss  1.109851, Time  0.446270
2021-09-24 21:34:23.390861 : Epoch  1, Batch    373, Loss  0.900536, Average Loss  0.933163, Time  0.446863
2021-09-24 21:34:26.292441 : Epoch  1, Batch    290, Loss  0.934470, Average Loss  1.106426, Time  0.450280
2021-09-24 21:34:29.563014 : Epoch  1, Batch    374, Loss  0.876530, Average Loss  0.932263, Time  0.448713
2021-09-24 21:34:32.344095 : Epoch  1, Batch    291, Loss  0.926200, Average Loss  1.102934, Time  0.454098
2021-09-24 21:34:35.769238 : Epoch  1, Batch    375, Loss  0.892837, Average Loss  0.931511, Time  0.447129
2021-09-24 21:34:38.414292 : Epoch  1, Batch    292, Loss  0.927708, Average Loss  1.099455, Time  0.464450
2021-09-24 21:34:41.933981 : Epoch  1, Batch    376, Loss  0.884933, Average Loss  0.930728, Time  0.448219
2021-09-24 21:34:44.468642 : Epoch  1, Batch    293, Loss  0.926363, Average Loss  1.095967, Time  0.449685
2021-09-24 21:34:48.117753 : Epoch  1, Batch    377, Loss  0.909736, Average Loss  0.930078, Time  0.448286
2021-09-24 21:34:50.498578 : Epoch  1, Batch    294, Loss  0.922477, Average Loss  1.092494, Time  0.446499
2021-09-24 21:34:54.278921 : Epoch  1, Batch    378, Loss  0.896645, Average Loss  0.929350, Time  0.462278
2021-09-24 21:34:56.534246 : Epoch  1, Batch    295, Loss  0.933235, Average Loss  1.089065, Time  0.446616
2021-09-24 21:35:00.470449 : Epoch  1, Batch    379, Loss  0.889105, Average Loss  0.928588, Time  0.450158
2021-09-24 21:35:02.565173 : Epoch  1, Batch    296, Loss  0.950784, Average Loss  1.085827, Time  0.448946
2021-09-24 21:35:06.647006 : Epoch  1, Batch    380, Loss  0.893141, Average Loss  0.927941, Time  0.448197
2021-09-24 21:35:12.796788 : Epoch  1, Batch    381, Loss  0.888364, Average Loss  0.927299, Time  0.445702
2021-09-24 21:35:18.944918 : Epoch  1, Batch    382, Loss  0.892350, Average Loss  0.926583, Time  0.447303
2021-09-24 21:35:25.113782 : Epoch  1, Batch    383, Loss  0.903314, Average Loss  0.925948, Time  0.452077
2021-09-24 21:35:31.384452 : Epoch  1, Batch    384, Loss  0.893076, Average Loss  0.925233, Time  0.450648
2021-09-24 21:35:35.575730 : Building dataset train from orignial text documents
2021-09-24 21:35:37.559965 : Epoch  1, Batch    385, Loss  0.893786, Average Loss  0.924548, Time  0.449230
2021-09-24 21:35:43.767133 : Epoch  1, Batch    386, Loss  0.894953, Average Loss  0.923934, Time  0.465430
2021-09-24 21:35:50.007124 : Epoch  1, Batch    387, Loss  0.901975, Average Loss  0.923416, Time  0.450139
2021-09-24 21:35:56.183411 : Epoch  1, Batch    388, Loss  0.888720, Average Loss  0.922817, Time  0.449766
2021-09-24 21:36:02.347330 : Epoch  1, Batch    389, Loss  0.889657, Average Loss  0.922155, Time  0.446381
2021-09-24 21:36:08.527051 : Epoch  1, Batch    390, Loss  0.877126, Average Loss  0.921549, Time  0.448734
2021-09-24 21:36:14.705249 : Epoch  1, Batch    391, Loss  0.912974, Average Loss  0.921133, Time  0.450076
2021-09-24 21:36:20.892090 : Epoch  1, Batch    392, Loss  0.891608, Average Loss  0.920534, Time  0.449678
2021-09-24 21:36:27.085764 : Epoch  1, Batch    393, Loss  0.883499, Average Loss  0.920054, Time  0.461038
2021-09-24 21:36:33.263649 : Epoch  1, Batch    394, Loss  0.899928, Average Loss  0.919525, Time  0.446807
2021-09-24 21:36:39.445495 : Epoch  1, Batch    395, Loss  0.909919, Average Loss  0.919144, Time  0.446439
2021-09-24 21:36:45.603953 : Epoch  1, Batch    396, Loss  0.883865, Average Loss  0.918605, Time  0.448182
2021-09-24 21:36:51.796515 : Epoch  1, Batch    397, Loss  0.885477, Average Loss  0.918018, Time  0.448300
2021-09-24 21:36:57.983075 : Epoch  1, Batch    398, Loss  0.897304, Average Loss  0.917602, Time  0.450240
2021-09-24 21:37:04.138151 : Epoch  1, Batch    399, Loss  0.890165, Average Loss  0.917131, Time  0.447920
2021-09-24 21:37:10.345481 : Epoch  1, Batch    400, Loss  0.897499, Average Loss  0.916685, Time  0.453827
2021-09-24 21:38:58.267673 : Finish Loading dataset train
2021-09-24 21:38:58.313091 : Data Shuffle
2021-09-24 21:38:58.341222 : Start Shuffling
2021-09-24 21:38:59.712782 : Finish Shuffling
2021-09-24 21:38:59.788338 : Generate Batch
2021-09-24 21:39:00.178618 : Building dataset valid from orignial text documents
2021-09-24 21:39:09.129635 : Finish Loading dataset valid
2021-09-24 21:39:09.155514 : Data Shuffle
2021-09-24 21:39:09.185629 : Start Shuffling
2021-09-24 21:39:09.276935 : Finish Shuffling
2021-09-24 21:39:09.303625 : Generate Batch
2021-09-24 21:39:09.350969 : There are 928 batches per epoch
2021-09-24 21:39:09.379226 : Batch Shuffled
2021-09-24 21:39:15.649990 : Epoch  1, Batch      1, Loss  1.920031, Average Loss  1.920031, Time  0.665852
2021-09-24 21:39:21.729918 : Epoch  1, Batch      2, Loss  1.922940, Average Loss  1.921485, Time  0.454059
2021-09-24 21:39:27.779950 : Epoch  1, Batch      3, Loss  1.920634, Average Loss  1.921202, Time  0.445688
2021-09-24 21:39:33.868486 : Epoch  1, Batch      4, Loss  1.919372, Average Loss  1.920744, Time  0.445427
2021-09-24 21:39:39.935500 : Epoch  1, Batch      5, Loss  1.916327, Average Loss  1.919861, Time  0.446539
2021-09-24 21:39:46.020190 : Epoch  1, Batch      6, Loss  1.910801, Average Loss  1.918351, Time  0.450451
2021-09-24 21:39:52.111733 : Epoch  1, Batch      7, Loss  1.908590, Average Loss  1.916956, Time  0.447036
2021-09-24 21:39:58.194439 : Epoch  1, Batch      8, Loss  1.896773, Average Loss  1.914433, Time  0.446259
2021-09-24 21:40:04.305548 : Epoch  1, Batch      9, Loss  1.890504, Average Loss  1.911774, Time  0.458851
2021-09-24 21:40:10.401966 : Epoch  1, Batch     10, Loss  1.887597, Average Loss  1.909357, Time  0.449766
2021-09-24 21:40:16.499899 : Epoch  1, Batch     11, Loss  1.884292, Average Loss  1.907078, Time  0.450902
2021-09-24 21:40:22.608720 : Epoch  1, Batch     12, Loss  1.872849, Average Loss  1.904226, Time  0.447971
2021-09-24 21:40:28.701848 : Epoch  1, Batch     13, Loss  1.864281, Average Loss  1.901153, Time  0.449402
2021-09-24 21:40:34.799419 : Epoch  1, Batch     14, Loss  1.850949, Average Loss  1.897567, Time  0.447852
2021-09-24 21:40:40.905638 : Epoch  1, Batch     15, Loss  1.843236, Average Loss  1.893945, Time  0.446993
2021-09-24 21:40:47.002539 : Epoch  1, Batch     16, Loss  1.833001, Average Loss  1.890136, Time  0.447267
2021-09-24 21:40:53.110190 : Epoch  1, Batch     17, Loss  1.823400, Average Loss  1.886210, Time  0.459446
2021-09-24 21:40:59.209721 : Epoch  1, Batch     18, Loss  1.808641, Average Loss  1.881901, Time  0.447078
2021-09-24 21:41:05.320503 : Epoch  1, Batch     19, Loss  1.806048, Average Loss  1.877909, Time  0.446403
2021-09-24 21:41:11.412200 : Epoch  1, Batch     20, Loss  1.785195, Average Loss  1.873273, Time  0.447019
2021-09-24 21:41:17.501156 : Epoch  1, Batch     21, Loss  1.777289, Average Loss  1.868702, Time  0.445885
2021-09-24 21:41:23.609612 : Epoch  1, Batch     22, Loss  1.769368, Average Loss  1.864187, Time  0.450661
2021-09-24 21:41:29.727669 : Epoch  1, Batch     23, Loss  1.753545, Average Loss  1.859377, Time  0.445396
2021-09-24 21:41:35.840067 : Epoch  1, Batch     24, Loss  1.744580, Average Loss  1.854593, Time  0.460221
2021-09-24 21:41:41.939516 : Epoch  1, Batch     25, Loss  1.744343, Average Loss  1.850183, Time  0.447237
2021-09-24 21:41:48.046511 : Epoch  1, Batch     26, Loss  1.738998, Average Loss  1.845907, Time  0.446035
2021-09-24 21:41:54.156994 : Epoch  1, Batch     27, Loss  1.726523, Average Loss  1.841485, Time  0.450115
2021-09-24 21:42:00.147678 : CheckPoint: Validation Loss  0.00015151, Best Loss  0.00015151
2021-09-24 21:42:00.176213 : Best Model Updated
2021-09-24 21:42:00.236599 : Epoch  1, Batch     28, Loss  1.723270, Average Loss  1.837263, Time  0.446094
2021-09-24 21:42:06.326025 : Epoch  1, Batch     29, Loss  1.708974, Average Loss  1.832840, Time  0.448798
2021-09-24 21:42:07.025618 : Epoch  1, Batch    401, Loss  0.890620, Average Loss  0.916307, Time  0.447694
2021-09-24 21:42:12.438718 : Epoch  1, Batch     30, Loss  1.705705, Average Loss  1.828602, Time  0.446568
2021-09-24 21:42:13.185200 : Epoch  1, Batch    402, Loss  0.872588, Average Loss  0.915856, Time  0.448282
2021-09-24 21:42:18.516628 : Epoch  1, Batch     31, Loss  1.694651, Average Loss  1.824281, Time  0.445905
2021-09-24 21:42:19.345869 : Epoch  1, Batch    403, Loss  0.891861, Average Loss  0.915461, Time  0.446365
2021-09-24 21:42:24.617032 : Epoch  1, Batch     32, Loss  1.697575, Average Loss  1.820321, Time  0.462626
2021-09-24 21:42:25.509594 : Epoch  1, Batch    404, Loss  0.883304, Average Loss  0.914934, Time  0.446183
2021-09-24 21:42:30.703770 : Epoch  1, Batch     33, Loss  1.690031, Average Loss  1.816373, Time  0.448872
2021-09-24 21:42:31.696892 : Epoch  1, Batch    405, Loss  0.894869, Average Loss  0.914514, Time  0.447057
2021-09-24 21:42:36.790989 : Epoch  1, Batch     34, Loss  1.685536, Average Loss  1.812525, Time  0.446542
2021-09-24 21:42:37.866460 : Epoch  1, Batch    406, Loss  0.902424, Average Loss  0.914193, Time  0.458242
2021-09-24 21:42:42.872033 : Epoch  1, Batch     35, Loss  1.682734, Average Loss  1.808817, Time  0.445621
2021-09-24 21:42:44.013289 : Epoch  1, Batch    407, Loss  0.894048, Average Loss  0.913801, Time  0.447670
2021-09-24 21:42:48.975883 : Epoch  1, Batch     36, Loss  1.691003, Average Loss  1.805544, Time  0.445818
2021-09-24 21:42:50.174805 : Epoch  1, Batch    408, Loss  0.895954, Average Loss  0.913444, Time  0.446442
2021-09-24 21:42:55.081191 : Epoch  1, Batch     37, Loss  1.693041, Average Loss  1.802503, Time  0.447149
2021-09-24 21:42:56.377646 : Epoch  1, Batch    409, Loss  0.903085, Average Loss  0.913104, Time  0.450209
2021-09-24 21:43:01.196914 : Epoch  1, Batch     38, Loss  1.684495, Average Loss  1.799398, Time  0.446246
2021-09-24 21:43:02.572419 : Epoch  1, Batch    410, Loss  0.911710, Average Loss  0.912834, Time  0.446271
2021-09-24 21:43:07.317641 : Epoch  1, Batch     39, Loss  1.659492, Average Loss  1.795811, Time  0.461054
2021-09-24 21:43:08.762017 : Epoch  1, Batch    411, Loss  0.871738, Average Loss  0.912361, Time  0.452721
2021-09-24 21:43:13.429782 : Epoch  1, Batch     40, Loss  1.669080, Average Loss  1.792642, Time  0.450064
2021-09-24 21:43:14.931815 : Epoch  1, Batch    412, Loss  0.896762, Average Loss  0.912061, Time  0.447719
2021-09-24 21:43:19.548489 : Epoch  1, Batch     41, Loss  1.676403, Average Loss  1.789807, Time  0.451514
2021-09-24 21:43:21.125417 : Epoch  1, Batch    413, Loss  0.889579, Average Loss  0.911683, Time  0.459278
2021-09-24 21:43:25.635710 : Epoch  1, Batch     42, Loss  1.664178, Average Loss  1.786816, Time  0.446535
2021-09-24 21:43:27.315122 : Epoch  1, Batch    414, Loss  0.867031, Average Loss  0.911230, Time  0.453297
2021-09-24 21:43:31.737469 : Epoch  1, Batch     43, Loss  1.666695, Average Loss  1.784023, Time  0.450968
2021-09-24 21:43:33.504905 : Epoch  1, Batch    415, Loss  0.908168, Average Loss  0.910925, Time  0.448999
2021-09-24 21:43:37.823928 : Epoch  1, Batch     44, Loss  1.678236, Average Loss  1.781618, Time  0.446002
2021-09-24 21:43:39.682298 : Epoch  1, Batch    416, Loss  0.903434, Average Loss  0.910648, Time  0.446155
2021-09-24 21:43:43.936829 : Epoch  1, Batch     45, Loss  1.668395, Average Loss  1.779102, Time  0.447974
2021-09-24 21:43:45.862184 : Epoch  1, Batch    417, Loss  0.897870, Average Loss  0.910336, Time  0.446830
2021-09-24 21:43:50.032323 : Epoch  1, Batch     46, Loss  1.685361, Average Loss  1.777064, Time  0.452075
2021-09-24 21:43:52.032636 : Epoch  1, Batch    418, Loss  0.891691, Average Loss  0.910063, Time  0.448021
2021-09-24 21:43:56.133868 : Epoch  1, Batch     47, Loss  1.671005, Average Loss  1.774808, Time  0.456617
2021-09-24 21:43:58.212726 : Epoch  1, Batch    419, Loss  0.879167, Average Loss  0.909554, Time  0.449202
2021-09-24 21:44:02.238178 : Epoch  1, Batch     48, Loss  1.672844, Average Loss  1.772683, Time  0.451339
2021-09-24 21:44:04.405862 : Epoch  1, Batch    420, Loss  0.877694, Average Loss  0.909089, Time  0.448539
2021-09-24 21:44:08.344478 : Epoch  1, Batch     49, Loss  1.666153, Average Loss  1.770509, Time  0.445962
2021-09-24 21:44:10.585525 : Epoch  1, Batch    421, Loss  0.882633, Average Loss  0.908764, Time  0.456867
2021-09-24 21:44:14.444710 : Epoch  1, Batch     50, Loss  1.648821, Average Loss  1.768076, Time  0.449048
2021-09-24 21:44:16.769546 : Epoch  1, Batch    422, Loss  0.885708, Average Loss  0.908426, Time  0.449588
2021-09-24 21:44:20.534997 : Epoch  1, Batch     51, Loss  1.664570, Average Loss  1.766046, Time  0.446152
2021-09-24 21:44:22.945889 : Epoch  1, Batch    423, Loss  0.890685, Average Loss  0.908140, Time  0.446246
2021-09-24 21:44:26.616040 : Epoch  1, Batch     52, Loss  1.660234, Average Loss  1.764011, Time  0.446963
2021-09-24 21:44:29.119418 : Epoch  1, Batch    424, Loss  0.886046, Average Loss  0.907887, Time  0.450133
2021-09-24 21:44:32.717449 : Epoch  1, Batch     53, Loss  1.667068, Average Loss  1.762182, Time  0.448365
2021-09-24 21:44:35.283532 : Epoch  1, Batch    425, Loss  0.899463, Average Loss  0.907600, Time  0.446441
2021-09-24 21:44:38.835940 : Epoch  1, Batch     54, Loss  1.647611, Average Loss  1.760060, Time  0.460988
2021-09-24 21:44:41.461901 : Epoch  1, Batch    426, Loss  0.897437, Average Loss  0.907312, Time  0.447894
2021-09-24 21:44:44.919547 : Epoch  1, Batch     55, Loss  1.664154, Average Loss  1.758317, Time  0.445496
2021-09-24 21:44:47.643864 : Epoch  1, Batch    427, Loss  0.886904, Average Loss  0.907031, Time  0.448544
2021-09-24 21:44:51.021461 : Epoch  1, Batch     56, Loss  1.662699, Average Loss  1.756609, Time  0.446611
2021-09-24 21:44:53.826422 : Epoch  1, Batch    428, Loss  0.882116, Average Loss  0.906681, Time  0.462413
2021-09-24 21:44:57.125800 : Epoch  1, Batch     57, Loss  1.657872, Average Loss  1.754877, Time  0.446778
2021-09-24 21:45:00.010851 : Epoch  1, Batch    429, Loss  0.912057, Average Loss  0.906481, Time  0.449413
2021-09-24 21:45:03.212383 : Epoch  1, Batch     58, Loss  1.659893, Average Loss  1.753239, Time  0.450326
2021-09-24 21:45:06.194892 : Epoch  1, Batch    430, Loss  0.905703, Average Loss  0.906263, Time  0.447468
2021-09-24 21:45:09.309195 : Epoch  1, Batch     59, Loss  1.661690, Average Loss  1.751688, Time  0.447185
2021-09-24 21:45:12.394779 : Epoch  1, Batch    431, Loss  0.910934, Average Loss  0.906047, Time  0.451196
2021-09-24 21:45:15.394123 : Epoch  1, Batch     60, Loss  1.659373, Average Loss  1.750149, Time  0.446569
2021-09-24 21:45:18.581066 : Epoch  1, Batch    432, Loss  0.894602, Average Loss  0.905872, Time  0.449136
2021-09-24 21:45:21.482840 : Epoch  1, Batch     61, Loss  1.659750, Average Loss  1.748667, Time  0.445884
2021-09-24 21:45:24.744372 : Epoch  1, Batch    433, Loss  0.885536, Average Loss  0.905616, Time  0.447026
2021-09-24 21:45:27.581094 : Epoch  1, Batch     62, Loss  1.659303, Average Loss  1.747226, Time  0.454391
2021-09-24 21:45:30.910981 : Epoch  1, Batch    434, Loss  0.906580, Average Loss  0.905503, Time  0.445863
2021-09-24 21:45:33.667023 : Epoch  1, Batch     63, Loss  1.657674, Average Loss  1.745804, Time  0.454678
2021-09-24 21:45:37.090490 : Epoch  1, Batch    435, Loss  0.896817, Average Loss  0.905262, Time  0.447684
2021-09-24 21:45:39.751306 : Epoch  1, Batch     64, Loss  1.656555, Average Loss  1.744410, Time  0.446064
2021-09-24 21:45:43.268876 : Epoch  1, Batch    436, Loss  0.898888, Average Loss  0.905039, Time  0.470198
2021-09-24 21:45:45.829634 : Epoch  1, Batch     65, Loss  1.649538, Average Loss  1.742950, Time  0.449013
2021-09-24 21:45:49.443292 : Epoch  1, Batch    437, Loss  0.885438, Average Loss  0.904767, Time  0.446678
2021-09-24 21:45:51.945578 : Epoch  1, Batch     66, Loss  1.646689, Average Loss  1.741492, Time  0.448815
2021-09-24 21:45:55.613946 : Epoch  1, Batch    438, Loss  0.895990, Average Loss  0.904546, Time  0.445662
2021-09-24 21:45:58.035907 : Epoch  1, Batch     67, Loss  1.656912, Average Loss  1.740229, Time  0.447831
2021-09-24 21:46:01.783712 : Epoch  1, Batch    439, Loss  0.902024, Average Loss  0.904408, Time  0.445895
2021-09-24 21:46:04.152093 : Epoch  1, Batch     68, Loss  1.663145, Average Loss  1.739096, Time  0.447767
2021-09-24 21:46:07.961531 : Epoch  1, Batch    440, Loss  0.877222, Average Loss  0.904146, Time  0.446040
2021-09-24 21:46:10.264283 : Epoch  1, Batch     69, Loss  1.653415, Average Loss  1.737854, Time  0.460578
2021-09-24 21:46:14.135939 : Epoch  1, Batch    441, Loss  0.880314, Average Loss  0.903840, Time  0.449611
2021-09-24 21:46:16.375877 : Epoch  1, Batch     70, Loss  1.653846, Average Loss  1.736654, Time  0.447157
2021-09-24 21:46:20.315409 : Epoch  1, Batch    442, Loss  0.877238, Average Loss  0.903553, Time  0.448818
2021-09-24 21:46:22.468264 : Epoch  1, Batch     71, Loss  1.658695, Average Loss  1.735556, Time  0.445295
2021-09-24 21:46:26.495831 : Epoch  1, Batch    443, Loss  0.895514, Average Loss  0.903418, Time  0.455849
2021-09-24 21:46:28.556045 : Epoch  1, Batch     72, Loss  1.652506, Average Loss  1.734402, Time  0.445337
2021-09-24 21:46:32.671968 : Epoch  1, Batch    444, Loss  0.899523, Average Loss  0.903256, Time  0.447113
2021-09-24 21:46:34.651236 : Epoch  1, Batch     73, Loss  1.647319, Average Loss  1.733209, Time  0.445301
2021-09-24 21:46:38.840911 : Epoch  1, Batch    445, Loss  0.878508, Average Loss  0.903003, Time  0.447255
2021-09-24 21:46:40.737056 : Epoch  1, Batch     74, Loss  1.649538, Average Loss  1.732079, Time  0.445281
2021-09-24 21:46:45.001208 : Epoch  1, Batch    446, Loss  0.888570, Average Loss  0.902797, Time  0.446782
2021-09-24 21:46:46.838239 : Epoch  1, Batch     75, Loss  1.646448, Average Loss  1.730937, Time  0.455345
2021-09-24 21:46:51.170490 : Epoch  1, Batch    447, Loss  0.886501, Average Loss  0.902460, Time  0.448593
2021-09-24 21:46:52.948259 : Epoch  1, Batch     76, Loss  1.663014, Average Loss  1.730043, Time  0.451650
2021-09-24 21:46:57.355819 : Epoch  1, Batch    448, Loss  0.881930, Average Loss  0.902166, Time  0.446194
2021-09-24 21:46:59.067997 : Epoch  1, Batch     77, Loss  1.650182, Average Loss  1.729006, Time  0.460926
2021-09-24 21:47:03.532858 : Epoch  1, Batch    449, Loss  0.895423, Average Loss  0.901958, Time  0.446899
2021-09-24 21:47:05.164578 : Epoch  1, Batch     78, Loss  1.649485, Average Loss  1.727987, Time  0.446635
2021-09-24 21:47:09.690724 : Epoch  1, Batch    450, Loss  0.907254, Average Loss  0.901882, Time  0.446538
2021-09-24 21:47:11.284297 : Epoch  1, Batch     79, Loss  1.651297, Average Loss  1.727016, Time  0.461256
2021-09-24 21:47:15.875295 : Epoch  1, Batch    451, Loss  0.885864, Average Loss  0.901710, Time  0.470957
2021-09-24 21:47:17.383155 : Epoch  1, Batch     80, Loss  1.658153, Average Loss  1.726155, Time  0.448454
2021-09-24 21:47:22.038665 : Epoch  1, Batch    452, Loss  0.881041, Average Loss  0.901426, Time  0.448904
2021-09-24 21:47:23.476605 : Epoch  1, Batch     81, Loss  1.641623, Average Loss  1.725112, Time  0.446028
2021-09-24 21:47:28.208261 : Epoch  1, Batch    453, Loss  0.882686, Average Loss  0.901198, Time  0.452721
2021-09-24 21:47:29.608179 : Epoch  1, Batch     82, Loss  1.641698, Average Loss  1.724094, Time  0.449552
2021-09-24 21:47:34.398866 : Epoch  1, Batch    454, Loss  0.898625, Average Loss  0.900982, Time  0.448518
2021-09-24 21:47:35.713221 : Epoch  1, Batch     83, Loss  1.639170, Average Loss  1.723071, Time  0.446265
2021-09-24 21:47:40.546524 : Epoch  1, Batch    455, Loss  0.883739, Average Loss  0.900738, Time  0.446482
2021-09-24 21:47:41.816983 : Epoch  1, Batch     84, Loss  1.634803, Average Loss  1.722020, Time  0.462542
2021-09-24 21:47:46.736450 : Epoch  1, Batch    456, Loss  0.881066, Average Loss  0.900511, Time  0.447934
2021-09-24 21:47:47.921482 : Epoch  1, Batch     85, Loss  1.644061, Average Loss  1.721103, Time  0.450101
2021-09-24 21:47:52.901769 : Epoch  1, Batch    457, Loss  0.885536, Average Loss  0.900292, Time  0.447687
2021-09-24 21:47:54.028118 : Epoch  1, Batch     86, Loss  1.639334, Average Loss  1.720152, Time  0.446013
2021-09-24 21:47:59.090665 : Epoch  1, Batch    458, Loss  0.897203, Average Loss  0.900094, Time  0.452750
2021-09-24 21:48:00.122466 : Epoch  1, Batch     87, Loss  1.642161, Average Loss  1.719256, Time  0.445575
2021-09-24 21:48:05.270038 : Epoch  1, Batch    459, Loss  0.894241, Average Loss  0.899925, Time  0.446036
2021-09-24 21:48:06.212310 : Epoch  1, Batch     88, Loss  1.631751, Average Loss  1.718261, Time  0.445980
2021-09-24 21:48:11.449180 : Epoch  1, Batch    460, Loss  0.882179, Average Loss  0.899589, Time  0.447021
2021-09-24 21:48:12.346961 : Epoch  1, Batch     89, Loss  1.636001, Average Loss  1.717337, Time  0.450319
2021-09-24 21:48:17.625504 : Epoch  1, Batch    461, Loss  0.890368, Average Loss  0.899435, Time  0.447075
2021-09-24 21:48:18.470092 : Epoch  1, Batch     90, Loss  1.623503, Average Loss  1.716295, Time  0.447072
2021-09-24 21:48:23.774209 : Epoch  1, Batch    462, Loss  0.883425, Average Loss  0.899339, Time  0.447642
2021-09-24 21:48:24.581785 : Epoch  1, Batch     91, Loss  1.630657, Average Loss  1.715354, Time  0.447965
2021-09-24 21:48:29.944286 : Epoch  1, Batch    463, Loss  0.880199, Average Loss  0.899182, Time  0.446966
2021-09-24 21:48:30.646256 : Epoch  1, Batch     92, Loss  1.620338, Average Loss  1.714321, Time  0.459428
2021-09-24 21:48:36.134556 : Epoch  1, Batch    464, Loss  0.887702, Average Loss  0.899027, Time  0.445922
2021-09-24 21:48:36.733515 : Epoch  1, Batch     93, Loss  1.611432, Average Loss  1.713214, Time  0.449106
2021-09-24 21:48:42.321948 : Epoch  1, Batch    465, Loss  0.895272, Average Loss  0.898918, Time  0.459870
2021-09-24 21:48:42.825328 : Epoch  1, Batch     94, Loss  1.614277, Average Loss  1.712162, Time  0.451405
2021-09-24 21:48:48.501841 : Epoch  1, Batch    466, Loss  0.893531, Average Loss  0.898757, Time  0.457096
2021-09-24 21:48:48.882882 : Epoch  1, Batch     95, Loss  1.606630, Average Loss  1.711051, Time  0.445999
2021-09-24 21:48:54.665330 : Epoch  1, Batch    467, Loss  0.877867, Average Loss  0.898595, Time  0.445879
2021-09-24 21:48:54.928068 : Epoch  1, Batch     96, Loss  1.602229, Average Loss  1.709917, Time  0.445575
2021-09-24 21:49:00.832470 : Epoch  1, Batch    468, Loss  0.894398, Average Loss  0.898498, Time  0.447683
2021-09-24 21:49:00.983199 : Epoch  1, Batch     97, Loss  1.585180, Average Loss  1.708632, Time  0.446128
2021-09-24 21:49:07.001599 : Epoch  1, Batch    469, Loss  0.890817, Average Loss  0.898423, Time  0.448064
2021-09-24 21:49:07.098110 : Epoch  1, Batch     98, Loss  1.574023, Average Loss  1.707258, Time  0.445335
2021-09-24 21:49:13.179155 : Epoch  1, Batch    470, Loss  0.903651, Average Loss  0.898393, Time  0.447307
2021-09-24 21:49:13.251627 : Epoch  1, Batch     99, Loss  1.553141, Average Loss  1.705701, Time  0.460164
2021-09-24 21:49:19.367124 : Epoch  1, Batch    100, Loss  1.532514, Average Loss  1.703969, Time  0.448288
2021-09-24 21:49:19.412658 : Epoch  1, Batch    471, Loss  0.893005, Average Loss  0.898156, Time  0.447854
2021-09-24 21:49:25.599492 : Epoch  1, Batch    472, Loss  0.890438, Average Loss  0.897982, Time  0.454464
2021-09-24 21:49:31.788428 : Epoch  1, Batch    473, Loss  0.892058, Average Loss  0.897804, Time  0.458386
2021-09-24 21:49:37.973794 : Epoch  1, Batch    474, Loss  0.892612, Average Loss  0.897625, Time  0.448209
2021-09-24 21:49:44.125738 : Epoch  1, Batch    475, Loss  0.877856, Average Loss  0.897464, Time  0.446263
2021-09-24 21:49:50.293077 : Epoch  1, Batch    476, Loss  0.899876, Average Loss  0.897367, Time  0.445464
2021-09-24 21:49:56.440132 : Epoch  1, Batch    477, Loss  0.889179, Average Loss  0.897264, Time  0.446414
2021-09-24 21:50:02.603331 : Epoch  1, Batch    478, Loss  0.901953, Average Loss  0.897246, Time  0.445982
2021-09-24 21:50:08.765939 : Epoch  1, Batch    479, Loss  0.883133, Average Loss  0.897066, Time  0.449206
2021-09-24 21:50:14.941670 : Epoch  1, Batch    480, Loss  0.889777, Average Loss  0.896907, Time  0.452125
2021-09-24 21:50:21.115444 : Epoch  1, Batch    481, Loss  0.901575, Average Loss  0.896785, Time  0.457793
2021-09-24 21:50:27.272889 : Epoch  1, Batch    482, Loss  0.873007, Average Loss  0.896518, Time  0.446980
2021-09-24 21:50:33.455336 : Epoch  1, Batch    483, Loss  0.881075, Average Loss  0.896401, Time  0.447625
2021-09-24 21:50:39.633760 : Epoch  1, Batch    484, Loss  0.885836, Average Loss  0.896254, Time  0.446350
2021-09-24 21:50:45.806841 : Epoch  1, Batch    485, Loss  0.882752, Average Loss  0.896129, Time  0.446445
2021-09-24 21:50:51.987812 : Epoch  1, Batch    486, Loss  0.885752, Average Loss  0.896039, Time  0.448201
2021-09-24 21:50:58.157905 : Epoch  1, Batch    487, Loss  0.893344, Average Loss  0.895962, Time  0.448205
2021-09-24 21:51:04.364154 : Epoch  1, Batch    488, Loss  0.871313, Average Loss  0.895757, Time  0.457983
2021-09-24 21:51:10.526068 : Epoch  1, Batch    489, Loss  0.886210, Average Loss  0.895611, Time  0.446224
2021-09-24 21:51:16.717860 : Epoch  1, Batch    490, Loss  0.891733, Average Loss  0.895459, Time  0.447934
2021-09-24 21:51:22.888047 : Epoch  1, Batch    491, Loss  0.897496, Average Loss  0.895450, Time  0.447891
2021-09-24 21:51:29.061298 : Epoch  1, Batch    492, Loss  0.883302, Average Loss  0.895263, Time  0.447005
2021-09-24 21:51:35.233862 : Epoch  1, Batch    493, Loss  0.885527, Average Loss  0.895162, Time  0.450048
2021-09-24 21:51:41.443875 : Epoch  1, Batch    494, Loss  0.872923, Average Loss  0.894937, Time  0.449811
2021-09-24 21:51:47.632023 : Epoch  1, Batch    495, Loss  0.888207, Average Loss  0.894751, Time  0.451201
2021-09-24 21:51:53.811328 : Epoch  1, Batch    496, Loss  0.879698, Average Loss  0.894623, Time  0.460440
2021-09-24 21:51:59.977826 : Epoch  1, Batch    497, Loss  0.907471, Average Loss  0.894630, Time  0.447198
2021-09-24 21:52:06.131897 : Epoch  1, Batch    498, Loss  0.886240, Average Loss  0.894551, Time  0.449699
2021-09-24 21:52:12.312551 : Epoch  1, Batch    499, Loss  0.881801, Average Loss  0.894475, Time  0.451339
2021-09-24 21:52:18.492277 : Epoch  1, Batch    500, Loss  0.887083, Average Loss  0.894363, Time  0.446689
2021-09-24 21:54:07.458644 : CheckPoint: Validation Loss  0.00026067, Best Loss  0.00026067
2021-09-24 21:54:07.499514 : Best Model Updated
2021-09-24 21:54:14.172482 : Epoch  1, Batch    101, Loss  1.537915, Average Loss  1.702325, Time  0.449319
2021-09-24 21:54:20.196913 : Epoch  1, Batch    102, Loss  1.529683, Average Loss  1.700633, Time  0.447798
2021-09-24 21:54:26.205191 : Epoch  1, Batch    103, Loss  1.516865, Average Loss  1.698849, Time  0.446097
2021-09-24 21:54:32.210280 : Epoch  1, Batch    104, Loss  1.517327, Average Loss  1.697103, Time  0.448144
2021-09-24 21:54:38.263458 : Epoch  1, Batch    105, Loss  1.501952, Average Loss  1.695245, Time  0.467462
2021-09-24 21:54:44.317412 : Epoch  1, Batch    106, Loss  1.494262, Average Loss  1.693348, Time  0.449928
2021-09-24 21:54:50.376420 : Epoch  1, Batch    107, Loss  1.483301, Average Loss  1.691385, Time  0.446762
2021-09-24 21:54:56.455283 : Epoch  1, Batch    108, Loss  1.480089, Average Loss  1.689429, Time  0.445115
2021-09-24 21:55:02.538178 : Epoch  1, Batch    109, Loss  1.465791, Average Loss  1.687377, Time  0.450195
2021-09-24 21:55:08.582121 : Epoch  1, Batch    110, Loss  1.472292, Average Loss  1.685422, Time  0.449012
2021-09-24 21:55:14.639900 : Epoch  1, Batch    111, Loss  1.467908, Average Loss  1.683462, Time  0.445619
2021-09-24 21:55:20.677015 : Epoch  1, Batch    112, Loss  1.469295, Average Loss  1.681550, Time  0.452779
2021-09-24 21:55:26.698153 : Epoch  1, Batch    113, Loss  1.459373, Average Loss  1.679584, Time  0.446905
2021-09-24 21:55:32.724934 : Epoch  1, Batch    114, Loss  1.451917, Average Loss  1.677587, Time  0.446861
2021-09-24 21:55:38.774432 : Epoch  1, Batch    115, Loss  1.458502, Average Loss  1.675682, Time  0.444981
2021-09-24 21:55:44.819423 : Epoch  1, Batch    116, Loss  1.455329, Average Loss  1.673782, Time  0.448179
2021-09-24 21:55:50.854073 : Epoch  1, Batch    117, Loss  1.462478, Average Loss  1.671976, Time  0.446804
2021-09-24 21:55:56.882946 : Epoch  1, Batch    118, Loss  1.441841, Average Loss  1.670026, Time  0.446368
2021-09-24 21:56:02.907151 : Epoch  1, Batch    119, Loss  1.451209, Average Loss  1.668187, Time  0.446713
2021-09-24 21:56:08.972436 : Epoch  1, Batch    120, Loss  1.433310, Average Loss  1.666230, Time  0.453445
2021-09-24 21:56:15.050415 : Epoch  1, Batch    121, Loss  1.432018, Average Loss  1.664294, Time  0.445479
2021-09-24 21:56:21.151660 : Epoch  1, Batch    122, Loss  1.426808, Average Loss  1.662348, Time  0.445322
2021-09-24 21:56:27.231374 : Epoch  1, Batch    123, Loss  1.417860, Average Loss  1.660360, Time  0.445156
2021-09-24 21:56:33.264288 : Epoch  1, Batch    124, Loss  1.422271, Average Loss  1.658440, Time  0.447641
2021-09-24 21:56:39.297190 : Epoch  1, Batch    125, Loss  1.417719, Average Loss  1.656514, Time  0.446600
2021-09-24 21:56:45.314938 : Epoch  1, Batch    126, Loss  1.412659, Average Loss  1.654579, Time  0.447073
2021-09-24 21:56:51.346885 : Epoch  1, Batch    127, Loss  1.406771, Average Loss  1.652627, Time  0.458774
2021-09-24 21:56:57.360861 : Epoch  1, Batch    128, Loss  1.407058, Average Loss  1.650709, Time  0.445629
2021-09-24 21:57:03.368239 : Epoch  1, Batch    129, Loss  1.390717, Average Loss  1.648693, Time  0.446527
2021-09-24 21:57:09.391199 : Epoch  1, Batch    130, Loss  1.386724, Average Loss  1.646678, Time  0.446246
2021-09-24 21:57:11.116531 : CheckPoint: Validation Loss  0.00015290, Best Loss  0.00015151
2021-09-24 21:57:15.409312 : Epoch  1, Batch    131, Loss  1.382954, Average Loss  1.644665, Time  0.449386
2021-09-24 21:57:17.238807 : Epoch  1, Batch    501, Loss  0.863708, Average Loss  0.894158, Time  0.458807
2021-09-24 21:57:21.455107 : Epoch  1, Batch    132, Loss  1.379357, Average Loss  1.642655, Time  0.446296
2021-09-24 21:57:23.355966 : Epoch  1, Batch    502, Loss  0.895968, Average Loss  0.894098, Time  0.448497
2021-09-24 21:57:27.498661 : Epoch  1, Batch    133, Loss  1.357929, Average Loss  1.640514, Time  0.448789
2021-09-24 21:57:29.461610 : Epoch  1, Batch    503, Loss  0.901411, Average Loss  0.893988, Time  0.450786
2021-09-24 21:57:33.563865 : Epoch  1, Batch    134, Loss  1.386967, Average Loss  1.638622, Time  0.452386
2021-09-24 21:57:35.559971 : Epoch  1, Batch    504, Loss  0.888772, Average Loss  0.893857, Time  0.447124
2021-09-24 21:57:39.673781 : Epoch  1, Batch    135, Loss  1.356952, Average Loss  1.636536, Time  0.459914
2021-09-24 21:57:41.669472 : Epoch  1, Batch    505, Loss  0.903072, Average Loss  0.893828, Time  0.450668
2021-09-24 21:57:45.777753 : Epoch  1, Batch    136, Loss  1.345945, Average Loss  1.634399, Time  0.450914
2021-09-24 21:57:47.773878 : Epoch  1, Batch    506, Loss  0.884218, Average Loss  0.893779, Time  0.449656
2021-09-24 21:57:51.862902 : Epoch  1, Batch    137, Loss  1.327681, Average Loss  1.632160, Time  0.446466
2021-09-24 21:57:53.880233 : Epoch  1, Batch    507, Loss  0.905843, Average Loss  0.893767, Time  0.446427
2021-09-24 21:57:57.909818 : Epoch  1, Batch    138, Loss  1.323261, Average Loss  1.629922, Time  0.445709
2021-09-24 21:57:59.991886 : Epoch  1, Batch    508, Loss  0.899391, Average Loss  0.893698, Time  0.453849
2021-09-24 21:58:03.954006 : Epoch  1, Batch    139, Loss  1.315100, Average Loss  1.627657, Time  0.446487
2021-09-24 21:58:06.101801 : Epoch  1, Batch    509, Loss  0.911278, Average Loss  0.893686, Time  0.463980
2021-09-24 21:58:10.007475 : Epoch  1, Batch    140, Loss  1.296485, Average Loss  1.625292, Time  0.448272
2021-09-24 21:58:12.200999 : Epoch  1, Batch    510, Loss  0.880863, Average Loss  0.893566, Time  0.446500
2021-09-24 21:58:16.075550 : Epoch  1, Batch    141, Loss  1.285050, Average Loss  1.622878, Time  0.448570
2021-09-24 21:58:18.317870 : Epoch  1, Batch    511, Loss  0.892574, Average Loss  0.893554, Time  0.448295
2021-09-24 21:58:22.109122 : Epoch  1, Batch    142, Loss  1.292069, Average Loss  1.620549, Time  0.457841
2021-09-24 21:58:24.405321 : Epoch  1, Batch    512, Loss  0.894581, Average Loss  0.893543, Time  0.447117
2021-09-24 21:58:28.170803 : Epoch  1, Batch    143, Loss  1.266093, Average Loss  1.618070, Time  0.445682
2021-09-24 21:58:30.496530 : Epoch  1, Batch    513, Loss  0.899686, Average Loss  0.893532, Time  0.446332
2021-09-24 21:58:34.244306 : Epoch  1, Batch    144, Loss  1.281498, Average Loss  1.615733, Time  0.448704
2021-09-24 21:58:36.595908 : Epoch  1, Batch    514, Loss  0.884794, Average Loss  0.893489, Time  0.447958
2021-09-24 21:58:40.300133 : Epoch  1, Batch    145, Loss  1.269510, Average Loss  1.613345, Time  0.447115
2021-09-24 21:58:42.684773 : Epoch  1, Batch    515, Loss  0.882046, Average Loss  0.893352, Time  0.448834
2021-09-24 21:58:46.324627 : Epoch  1, Batch    146, Loss  1.248110, Average Loss  1.610843, Time  0.449712
2021-09-24 21:58:48.768416 : Epoch  1, Batch    516, Loss  0.889882, Average Loss  0.893259, Time  0.458970
2021-09-24 21:58:52.355120 : Epoch  1, Batch    147, Loss  1.244622, Average Loss  1.608352, Time  0.449340
2021-09-24 21:58:54.857366 : Epoch  1, Batch    517, Loss  0.888478, Average Loss  0.893240, Time  0.445790
2021-09-24 21:58:58.399533 : Epoch  1, Batch    148, Loss  1.238933, Average Loss  1.605856, Time  0.447099
2021-09-24 21:59:00.948938 : Epoch  1, Batch    518, Loss  0.888471, Average Loss  0.893239, Time  0.446385
2021-09-24 21:59:04.475854 : Epoch  1, Batch    149, Loss  1.247719, Average Loss  1.603452, Time  0.446146
2021-09-24 21:59:07.041588 : Epoch  1, Batch    519, Loss  0.874651, Average Loss  0.893127, Time  0.446041
2021-09-24 21:59:10.581571 : Epoch  1, Batch    150, Loss  1.235690, Average Loss  1.601001, Time  0.459325
2021-09-24 21:59:13.138731 : Epoch  1, Batch    520, Loss  0.903597, Average Loss  0.893157, Time  0.446682
2021-09-24 21:59:16.648175 : Epoch  1, Batch    151, Loss  1.233930, Average Loss  1.598570, Time  0.445535
2021-09-24 21:59:19.238320 : Epoch  1, Batch    521, Loss  0.875045, Average Loss  0.892968, Time  0.450159
2021-09-24 21:59:22.662818 : Epoch  1, Batch    152, Loss  1.231802, Average Loss  1.596157, Time  0.445521
2021-09-24 21:59:25.349701 : Epoch  1, Batch    522, Loss  0.891521, Average Loss  0.892882, Time  0.459589
2021-09-24 21:59:28.678940 : Epoch  1, Batch    153, Loss  1.252587, Average Loss  1.593911, Time  0.445675
2021-09-24 21:59:31.437462 : Epoch  1, Batch    523, Loss  0.901271, Average Loss  0.892881, Time  0.448065
2021-09-24 21:59:34.713008 : Epoch  1, Batch    154, Loss  1.227154, Average Loss  1.591530, Time  0.445246
2021-09-24 21:59:37.557227 : Epoch  1, Batch    524, Loss  0.902922, Average Loss  0.892831, Time  0.460020
2021-09-24 21:59:40.763511 : Epoch  1, Batch    155, Loss  1.234537, Average Loss  1.589227, Time  0.452439
2021-09-24 21:59:43.652933 : Epoch  1, Batch    525, Loss  0.886948, Average Loss  0.892742, Time  0.447149
2021-09-24 21:59:46.784072 : Epoch  1, Batch    156, Loss  1.216983, Average Loss  1.586840, Time  0.445994
2021-09-24 21:59:49.748615 : Epoch  1, Batch    526, Loss  0.883418, Average Loss  0.892670, Time  0.449711
2021-09-24 21:59:52.823130 : Epoch  1, Batch    157, Loss  1.224795, Average Loss  1.584534, Time  0.459277
2021-09-24 21:59:55.857891 : Epoch  1, Batch    527, Loss  0.884237, Average Loss  0.892608, Time  0.446318
2021-09-24 21:59:58.877870 : Epoch  1, Batch    158, Loss  1.227276, Average Loss  1.582273, Time  0.446622
2021-09-24 22:00:01.945747 : Epoch  1, Batch    528, Loss  0.900586, Average Loss  0.892600, Time  0.447723
2021-09-24 22:00:04.926297 : Epoch  1, Batch    159, Loss  1.217598, Average Loss  1.579980, Time  0.446750
2021-09-24 22:00:08.028279 : Epoch  1, Batch    529, Loss  0.890135, Average Loss  0.892580, Time  0.446146
2021-09-24 22:00:10.973284 : Epoch  1, Batch    160, Loss  1.207455, Average Loss  1.577651, Time  0.449512
2021-09-24 22:00:14.125625 : Epoch  1, Batch    530, Loss  0.886319, Average Loss  0.892507, Time  0.446038
2021-09-24 22:00:17.046864 : Epoch  1, Batch    161, Loss  1.213842, Average Loss  1.575392, Time  0.448926
2021-09-24 22:00:20.246581 : Epoch  1, Batch    531, Loss  0.882212, Average Loss  0.892400, Time  0.457102
2021-09-24 22:00:23.114479 : Epoch  1, Batch    162, Loss  1.193763, Average Loss  1.573036, Time  0.448699
2021-09-24 22:00:26.333469 : Epoch  1, Batch    532, Loss  0.885133, Average Loss  0.892365, Time  0.448104
2021-09-24 22:00:29.182246 : Epoch  1, Batch    163, Loss  1.203380, Average Loss  1.570768, Time  0.446040
2021-09-24 22:00:32.410781 : Epoch  1, Batch    533, Loss  0.905211, Average Loss  0.892371, Time  0.449179
2021-09-24 22:00:35.265817 : Epoch  1, Batch    164, Loss  1.211192, Average Loss  1.568576, Time  0.446089
2021-09-24 22:00:38.501880 : Epoch  1, Batch    534, Loss  0.890002, Average Loss  0.892285, Time  0.448529
2021-09-24 22:00:41.370239 : Epoch  1, Batch    165, Loss  1.196875, Average Loss  1.566323, Time  0.453127
2021-09-24 22:00:44.595828 : Epoch  1, Batch    535, Loss  0.892521, Average Loss  0.892255, Time  0.446263
2021-09-24 22:00:47.467008 : Epoch  1, Batch    166, Loss  1.176162, Average Loss  1.563973, Time  0.446366
2021-09-24 22:00:50.671044 : Epoch  1, Batch    536, Loss  0.895666, Average Loss  0.892171, Time  0.451470
2021-09-24 22:00:53.511946 : Epoch  1, Batch    167, Loss  1.186159, Average Loss  1.561710, Time  0.450083
2021-09-24 22:00:56.751994 : Epoch  1, Batch    537, Loss  0.884999, Average Loss  0.892025, Time  0.446433
2021-09-24 22:00:59.547133 : Epoch  1, Batch    168, Loss  1.204848, Average Loss  1.559586, Time  0.448924
2021-09-24 22:01:02.840290 : Epoch  1, Batch    538, Loss  0.883541, Average Loss  0.891904, Time  0.446344
2021-09-24 22:01:05.584813 : Epoch  1, Batch    169, Loss  1.195698, Average Loss  1.557433, Time  0.445330
2021-09-24 22:01:08.934870 : Epoch  1, Batch    539, Loss  0.898851, Average Loss  0.891940, Time  0.460853
2021-09-24 22:01:11.598050 : Epoch  1, Batch    170, Loss  1.180946, Average Loss  1.555218, Time  0.445270
2021-09-24 22:01:15.010289 : Epoch  1, Batch    540, Loss  0.876634, Average Loss  0.891848, Time  0.454510
2021-09-24 22:01:17.622925 : Epoch  1, Batch    171, Loss  1.186435, Average Loss  1.553062, Time  0.450023
2021-09-24 22:01:21.103280 : Epoch  1, Batch    541, Loss  0.894430, Average Loss  0.891819, Time  0.448212
2021-09-24 22:01:23.669591 : Epoch  1, Batch    172, Loss  1.166810, Average Loss  1.550816, Time  0.459515
2021-09-24 22:01:27.191071 : Epoch  1, Batch    542, Loss  0.895131, Average Loss  0.891817, Time  0.449547
2021-09-24 22:01:29.706446 : Epoch  1, Batch    173, Loss  1.160056, Average Loss  1.548557, Time  0.447706
2021-09-24 22:01:33.284226 : Epoch  1, Batch    543, Loss  0.896279, Average Loss  0.891755, Time  0.450506
2021-09-24 22:01:35.746393 : Epoch  1, Batch    174, Loss  1.153291, Average Loss  1.546285, Time  0.446660
2021-09-24 22:01:39.368677 : Epoch  1, Batch    544, Loss  0.886051, Average Loss  0.891625, Time  0.446287
2021-09-24 22:01:41.819477 : Epoch  1, Batch    175, Loss  1.152873, Average Loss  1.544037, Time  0.445496
2021-09-24 22:01:45.470205 : Epoch  1, Batch    545, Loss  0.889340, Average Loss  0.891540, Time  0.446074
2021-09-24 22:01:47.854359 : Epoch  1, Batch    176, Loss  1.143559, Average Loss  1.541762, Time  0.444884
2021-09-24 22:01:51.571079 : Epoch  1, Batch    546, Loss  0.893769, Average Loss  0.891521, Time  0.460382
2021-09-24 22:01:53.905850 : Epoch  1, Batch    177, Loss  1.152930, Average Loss  1.539565, Time  0.445784
2021-09-24 22:01:57.665513 : Epoch  1, Batch    547, Loss  0.888305, Average Loss  0.891460, Time  0.445620
2021-09-24 22:01:59.987354 : Epoch  1, Batch    178, Loss  1.153276, Average Loss  1.537395, Time  0.446921
2021-09-24 22:02:03.746409 : Epoch  1, Batch    548, Loss  0.888702, Average Loss  0.891392, Time  0.446253
2021-09-24 22:02:06.068112 : Epoch  1, Batch    179, Loss  1.139902, Average Loss  1.535174, Time  0.447592
2021-09-24 22:02:09.835604 : Epoch  1, Batch    549, Loss  0.902151, Average Loss  0.891418, Time  0.445748
2021-09-24 22:02:12.166439 : Epoch  1, Batch    180, Loss  1.150043, Average Loss  1.533035, Time  0.462568
2021-09-24 22:02:15.918242 : Epoch  1, Batch    550, Loss  0.872796, Average Loss  0.891336, Time  0.446675
2021-09-24 22:02:18.203448 : Epoch  1, Batch    181, Loss  1.130731, Average Loss  1.530812, Time  0.447394
2021-09-24 22:02:22.017645 : Epoch  1, Batch    551, Loss  0.871805, Average Loss  0.891209, Time  0.455485
2021-09-24 22:02:24.230814 : Epoch  1, Batch    182, Loss  1.139178, Average Loss  1.528660, Time  0.445561
2021-09-24 22:02:28.121561 : Epoch  1, Batch    552, Loss  0.895956, Average Loss  0.891244, Time  0.446276
2021-09-24 22:02:30.262666 : Epoch  1, Batch    183, Loss  1.136668, Average Loss  1.526518, Time  0.446369
2021-09-24 22:02:34.215302 : Epoch  1, Batch    553, Loss  0.891349, Average Loss  0.891265, Time  0.446591
2021-09-24 22:02:36.291771 : Epoch  1, Batch    184, Loss  1.112121, Average Loss  1.524266, Time  0.449797
2021-09-24 22:02:40.304954 : Epoch  1, Batch    554, Loss  0.877035, Average Loss  0.891154, Time  0.455988
2021-09-24 22:02:42.354801 : Epoch  1, Batch    185, Loss  1.125134, Average Loss  1.522109, Time  0.446248
2021-09-24 22:02:46.405747 : Epoch  1, Batch    555, Loss  0.896097, Average Loss  0.891083, Time  0.449002
2021-09-24 22:02:48.391481 : Epoch  1, Batch    186, Loss  1.117832, Average Loss  1.519935, Time  0.447462
2021-09-24 22:02:52.498887 : Epoch  1, Batch    556, Loss  0.894508, Average Loss  0.891110, Time  0.446533
2021-09-24 22:02:54.442908 : Epoch  1, Batch    187, Loss  1.115230, Average Loss  1.517771, Time  0.465224
2021-09-24 22:02:58.567964 : Epoch  1, Batch    557, Loss  0.875184, Average Loss  0.891004, Time  0.445561
2021-09-24 22:03:00.471098 : Epoch  1, Batch    188, Loss  1.109883, Average Loss  1.515601, Time  0.445241
2021-09-24 22:03:04.653251 : Epoch  1, Batch    558, Loss  0.878576, Average Loss  0.890894, Time  0.446191
2021-09-24 22:03:06.483358 : Epoch  1, Batch    189, Loss  1.109994, Average Loss  1.513455, Time  0.445596
2021-09-24 22:03:10.738823 : Epoch  1, Batch    559, Loss  0.888575, Average Loss  0.890828, Time  0.447010
2021-09-24 22:03:12.506035 : Epoch  1, Batch    190, Loss  1.097713, Average Loss  1.511267, Time  0.447541
2021-09-24 22:03:16.822029 : Epoch  1, Batch    560, Loss  0.878033, Average Loss  0.890761, Time  0.447298
2021-09-24 22:03:18.547955 : Epoch  1, Batch    191, Loss  1.108561, Average Loss  1.509159, Time  0.450350
2021-09-24 22:03:22.916708 : Epoch  1, Batch    561, Loss  0.895342, Average Loss  0.890735, Time  0.455668
2021-09-24 22:03:24.596732 : Epoch  1, Batch    192, Loss  1.086995, Average Loss  1.506960, Time  0.445646
2021-09-24 22:03:29.013830 : Epoch  1, Batch    562, Loss  0.887375, Average Loss  0.890639, Time  0.446862
2021-09-24 22:03:30.673771 : Epoch  1, Batch    193, Loss  1.099614, Average Loss  1.504849, Time  0.445872
2021-09-24 22:03:35.131232 : Epoch  1, Batch    563, Loss  0.894213, Average Loss  0.890631, Time  0.450976
2021-09-24 22:03:36.742920 : Epoch  1, Batch    194, Loss  1.078292, Average Loss  1.502651, Time  0.448788
2021-09-24 22:03:41.236608 : Epoch  1, Batch    564, Loss  0.878201, Average Loss  0.890477, Time  0.446993
2021-09-24 22:03:42.802859 : Epoch  1, Batch    195, Loss  1.088368, Average Loss  1.500526, Time  0.460785
2021-09-24 22:03:47.347084 : Epoch  1, Batch    565, Loss  0.898028, Average Loss  0.890525, Time  0.449419
2021-09-24 22:03:48.853193 : Epoch  1, Batch    196, Loss  1.081176, Average Loss  1.498386, Time  0.445887
2021-09-24 22:03:53.444434 : Epoch  1, Batch    566, Loss  0.873201, Average Loss  0.890370, Time  0.448044
2021-09-24 22:03:54.914144 : Epoch  1, Batch    197, Loss  1.091420, Average Loss  1.496321, Time  0.449124
2021-09-24 22:03:59.549951 : Epoch  1, Batch    567, Loss  0.886607, Average Loss  0.890296, Time  0.447054
2021-09-24 22:04:00.945942 : Epoch  1, Batch    198, Loss  1.082479, Average Loss  1.494231, Time  0.445958
2021-09-24 22:04:05.665430 : Epoch  1, Batch    568, Loss  0.901563, Average Loss  0.890287, Time  0.452562
2021-09-24 22:04:07.030028 : Epoch  1, Batch    199, Loss  1.065571, Average Loss  1.492076, Time  0.452559
2021-09-24 22:04:11.766289 : Epoch  1, Batch    569, Loss  0.884020, Average Loss  0.890198, Time  0.462031
2021-09-24 22:04:13.110458 : Epoch  1, Batch    200, Loss  1.079208, Average Loss  1.490012, Time  0.447427
2021-09-24 22:04:17.883926 : Epoch  1, Batch    570, Loss  0.868083, Average Loss  0.890162, Time  0.449040
2021-09-24 22:04:23.975497 : Epoch  1, Batch    571, Loss  0.861698, Average Loss  0.890062, Time  0.449191
2021-09-24 22:04:30.055898 : Epoch  1, Batch    572, Loss  0.884117, Average Loss  0.890074, Time  0.447838
2021-09-24 22:04:36.153892 : Epoch  1, Batch    573, Loss  0.908075, Average Loss  0.890112, Time  0.451980
2021-09-24 22:04:42.244774 : Epoch  1, Batch    574, Loss  0.888059, Average Loss  0.890169, Time  0.447956
2021-09-24 22:04:48.330460 : Epoch  1, Batch    575, Loss  0.883229, Average Loss  0.890121, Time  0.446875
2021-09-24 22:04:54.437019 : Epoch  1, Batch    576, Loss  0.879154, Average Loss  0.890092, Time  0.461051
2021-09-24 22:05:00.513681 : Epoch  1, Batch    577, Loss  0.886912, Average Loss  0.889978, Time  0.446392
2021-09-24 22:05:06.591733 : Epoch  1, Batch    578, Loss  0.861553, Average Loss  0.889803, Time  0.446930
2021-09-24 22:05:12.678883 : Epoch  1, Batch    579, Loss  0.909342, Average Loss  0.889904, Time  0.448392
2021-09-24 22:05:18.756739 : Epoch  1, Batch    580, Loss  0.888786, Average Loss  0.889882, Time  0.446352
2021-09-24 22:05:24.848707 : Epoch  1, Batch    581, Loss  0.901959, Average Loss  0.889950, Time  0.445853
2021-09-24 22:05:30.943900 : Epoch  1, Batch    582, Loss  0.887955, Average Loss  0.889928, Time  0.445732
2021-09-24 22:05:37.052749 : Epoch  1, Batch    583, Loss  0.898456, Average Loss  0.889904, Time  0.449142
2021-09-24 22:05:43.156776 : Epoch  1, Batch    584, Loss  0.905945, Average Loss  0.889968, Time  0.454214
2021-09-24 22:05:49.245874 : Epoch  1, Batch    585, Loss  0.896885, Average Loss  0.889984, Time  0.448942
2021-09-24 22:05:55.331942 : Epoch  1, Batch    586, Loss  0.876836, Average Loss  0.889893, Time  0.446470
2021-09-24 22:06:01.434237 : Epoch  1, Batch    587, Loss  0.894332, Average Loss  0.889855, Time  0.447999
2021-09-24 22:06:07.524367 : Epoch  1, Batch    588, Loss  0.882394, Average Loss  0.889823, Time  0.445595
2021-09-24 22:06:13.613084 : Epoch  1, Batch    589, Loss  0.879685, Average Loss  0.889773, Time  0.445679
2021-09-24 22:06:19.714104 : Epoch  1, Batch    590, Loss  0.878643, Average Loss  0.889781, Time  0.445693
2021-09-24 22:06:25.819861 : Epoch  1, Batch    591, Loss  0.882546, Average Loss  0.889629, Time  0.462515
2021-09-24 22:06:31.899847 : Epoch  1, Batch    592, Loss  0.889987, Average Loss  0.889621, Time  0.446424
2021-09-24 22:06:37.969284 : Epoch  1, Batch    593, Loss  0.895738, Average Loss  0.889682, Time  0.448735
2021-09-24 22:06:44.071693 : Epoch  1, Batch    594, Loss  0.902726, Average Loss  0.889696, Time  0.450469
2021-09-24 22:06:50.170102 : Epoch  1, Batch    595, Loss  0.873086, Average Loss  0.889512, Time  0.447175
2021-09-24 22:06:56.283227 : Epoch  1, Batch    596, Loss  0.893941, Average Loss  0.889562, Time  0.449854
2021-09-24 22:07:02.349084 : Epoch  1, Batch    597, Loss  0.899612, Average Loss  0.889633, Time  0.447236
2021-09-24 22:07:08.443986 : Epoch  1, Batch    598, Loss  0.880836, Average Loss  0.889551, Time  0.450193
2021-09-24 22:07:14.555328 : Epoch  1, Batch    599, Loss  0.881293, Average Loss  0.889506, Time  0.456298
2021-09-24 22:07:20.654024 : Epoch  1, Batch    600, Loss  0.887438, Average Loss  0.889456, Time  0.447226
2021-09-24 22:09:01.736609 : CheckPoint: Validation Loss  0.00017731, Best Loss  0.00017731
2021-09-24 22:09:01.773547 : Best Model Updated
2021-09-24 22:09:08.433727 : Epoch  1, Batch    201, Loss  1.091302, Average Loss  1.485869, Time  0.455301
2021-09-24 22:09:14.451836 : Epoch  1, Batch    202, Loss  1.066669, Average Loss  1.481587, Time  0.445484
2021-09-24 22:09:20.479191 : Epoch  1, Batch    203, Loss  1.063434, Average Loss  1.477301, Time  0.453992
2021-09-24 22:09:26.512569 : Epoch  1, Batch    204, Loss  1.065758, Average Loss  1.473033, Time  0.445795
2021-09-24 22:09:32.545870 : Epoch  1, Batch    205, Loss  1.060662, Average Loss  1.468755, Time  0.445796
2021-09-24 22:09:38.579814 : Epoch  1, Batch    206, Loss  1.069240, Average Loss  1.464547, Time  0.445816
2021-09-24 22:09:44.625322 : Epoch  1, Batch    207, Loss  1.057150, Average Loss  1.460290, Time  0.446522
2021-09-24 22:09:50.661006 : Epoch  1, Batch    208, Loss  1.047360, Average Loss  1.456043, Time  0.455469
2021-09-24 22:09:56.713568 : Epoch  1, Batch    209, Loss  1.044402, Average Loss  1.451812, Time  0.448423
2021-09-24 22:10:02.758085 : Epoch  1, Batch    210, Loss  1.060071, Average Loss  1.447675, Time  0.449222
2021-09-24 22:10:08.790932 : Epoch  1, Batch    211, Loss  1.050142, Average Loss  1.443504, Time  0.447900
2021-09-24 22:10:14.826906 : Epoch  1, Batch    212, Loss  1.047141, Average Loss  1.439375, Time  0.448307
2021-09-24 22:10:20.870508 : Epoch  1, Batch    213, Loss  1.045027, Average Loss  1.435279, Time  0.445778
2021-09-24 22:10:26.916627 : Epoch  1, Batch    214, Loss  1.052773, Average Loss  1.431288, Time  0.448386
2021-09-24 22:10:32.978874 : Epoch  1, Batch    215, Loss  1.033736, Average Loss  1.427241, Time  0.448556
2021-09-24 22:10:39.024533 : Epoch  1, Batch    216, Loss  1.029883, Average Loss  1.423225, Time  0.462729
2021-09-24 22:10:45.064081 : Epoch  1, Batch    217, Loss  1.039359, Average Loss  1.419305, Time  0.447555
2021-09-24 22:10:51.104930 : Epoch  1, Batch    218, Loss  1.039247, Average Loss  1.415458, Time  0.449467
2021-09-24 22:10:57.141943 : Epoch  1, Batch    219, Loss  1.046028, Average Loss  1.411658, Time  0.445916
2021-09-24 22:11:03.201018 : Epoch  1, Batch    220, Loss  1.049922, Average Loss  1.407981, Time  0.448656
2021-09-24 22:11:09.241899 : Epoch  1, Batch    221, Loss  1.036592, Average Loss  1.404278, Time  0.446123
2021-09-24 22:11:15.304163 : Epoch  1, Batch    222, Loss  1.034453, Average Loss  1.400603, Time  0.445398
2021-09-24 22:11:21.371215 : Epoch  1, Batch    223, Loss  1.039311, Average Loss  1.397032, Time  0.460683
2021-09-24 22:11:27.399826 : Epoch  1, Batch    224, Loss  1.040209, Average Loss  1.393510, Time  0.446923
2021-09-24 22:11:33.448403 : Epoch  1, Batch    225, Loss  1.041948, Average Loss  1.389998, Time  0.445721
2021-09-24 22:11:39.480256 : Epoch  1, Batch    226, Loss  1.035082, Average Loss  1.386479, Time  0.447798
2021-09-24 22:11:45.501096 : Epoch  1, Batch    227, Loss  1.018878, Average Loss  1.382941, Time  0.445301
2021-09-24 22:11:51.540896 : Epoch  1, Batch    228, Loss  1.028325, Average Loss  1.379466, Time  0.445432
2021-09-24 22:11:57.600301 : Epoch  1, Batch    229, Loss  1.032325, Average Loss  1.376083, Time  0.450232
2021-09-24 22:12:03.639795 : Epoch  1, Batch    230, Loss  1.017196, Average Loss  1.372640, Time  0.447055
2021-09-24 22:12:09.694700 : Epoch  1, Batch    231, Loss  1.001882, Average Loss  1.369176, Time  0.457888
2021-09-24 22:12:12.662907 : CheckPoint: Validation Loss  0.00015056, Best Loss  0.00015056
2021-09-24 22:12:12.703016 : Best Model Updated
2021-09-24 22:12:15.715814 : Epoch  1, Batch    232, Loss  1.026721, Average Loss  1.365822, Time  0.445807
2021-09-24 22:12:19.491717 : Epoch  1, Batch    601, Loss  0.894226, Average Loss  0.889474, Time  0.450246
2021-09-24 22:12:21.742926 : Epoch  1, Batch    233, Loss  0.988507, Average Loss  1.362314, Time  0.445646
2021-09-24 22:12:25.582706 : Epoch  1, Batch    602, Loss  0.876543, Average Loss  0.889494, Time  0.448289
2021-09-24 22:12:27.771656 : Epoch  1, Batch    234, Loss  1.002961, Average Loss  1.358901, Time  0.444952
2021-09-24 22:12:31.672087 : Epoch  1, Batch    603, Loss  0.875757, Average Loss  0.889413, Time  0.446424
2021-09-24 22:12:33.859988 : Epoch  1, Batch    235, Loss  1.010633, Average Loss  1.355541, Time  0.450616
2021-09-24 22:12:37.773685 : Epoch  1, Batch    604, Loss  0.881588, Average Loss  0.889405, Time  0.451907
2021-09-24 22:12:39.909959 : Epoch  1, Batch    236, Loss  1.007042, Average Loss  1.352121, Time  0.445496
2021-09-24 22:12:43.854963 : Epoch  1, Batch    605, Loss  0.880648, Average Loss  0.889334, Time  0.448969
2021-09-24 22:12:45.961294 : Epoch  1, Batch    237, Loss  1.026932, Average Loss  1.348791, Time  0.453743
2021-09-24 22:12:49.947024 : Epoch  1, Batch    606, Loss  0.875148, Average Loss  0.889197, Time  0.447920
2021-09-24 22:12:52.007209 : Epoch  1, Batch    238, Loss  1.018786, Average Loss  1.345462, Time  0.458910
2021-09-24 22:12:56.027820 : Epoch  1, Batch    607, Loss  0.859727, Average Loss  0.889026, Time  0.446043
2021-09-24 22:12:58.064448 : Epoch  1, Batch    239, Loss  0.994422, Average Loss  1.342137, Time  0.448725
2021-09-24 22:13:02.096090 : Epoch  1, Batch    608, Loss  0.877457, Average Loss  0.888933, Time  0.447358
2021-09-24 22:13:04.120810 : Epoch  1, Batch    240, Loss  1.001364, Average Loss  1.338798, Time  0.450446
2021-09-24 22:13:08.198664 : Epoch  1, Batch    609, Loss  0.878183, Average Loss  0.888809, Time  0.446852
2021-09-24 22:13:10.151396 : Epoch  1, Batch    241, Loss  0.986060, Average Loss  1.335346, Time  0.448175
2021-09-24 22:13:14.294651 : Epoch  1, Batch    610, Loss  0.875459, Average Loss  0.888627, Time  0.446193
2021-09-24 22:13:16.213958 : Epoch  1, Batch    242, Loss  1.000874, Average Loss  1.332030, Time  0.448411
2021-09-24 22:13:20.421975 : Epoch  1, Batch    611, Loss  0.881383, Average Loss  0.888676, Time  0.462653
2021-09-24 22:13:22.254273 : Epoch  1, Batch    243, Loss  1.013456, Average Loss  1.328764, Time  0.445445
2021-09-24 22:13:26.502942 : Epoch  1, Batch    612, Loss  0.880616, Average Loss  0.888595, Time  0.448351
2021-09-24 22:13:28.315146 : Epoch  1, Batch    244, Loss  0.999364, Average Loss  1.325369, Time  0.448721
2021-09-24 22:13:32.607817 : Epoch  1, Batch    613, Loss  0.871183, Average Loss  0.888503, Time  0.449190
2021-09-24 22:13:34.366842 : Epoch  1, Batch    245, Loss  1.010845, Average Loss  1.322082, Time  0.445295
2021-09-24 22:13:38.686412 : Epoch  1, Batch    614, Loss  0.888928, Average Loss  0.888612, Time  0.445951
2021-09-24 22:13:40.413712 : Epoch  1, Batch    246, Loss  0.996965, Average Loss  1.318640, Time  0.460908
2021-09-24 22:13:44.755887 : Epoch  1, Batch    615, Loss  0.894020, Average Loss  0.888542, Time  0.445296
2021-09-24 22:13:46.445891 : Epoch  1, Batch    247, Loss  0.991562, Average Loss  1.315242, Time  0.445824
2021-09-24 22:13:50.841805 : Epoch  1, Batch    616, Loss  0.875818, Average Loss  0.888403, Time  0.446390
2021-09-24 22:13:52.476172 : Epoch  1, Batch    248, Loss  1.001686, Average Loss  1.311887, Time  0.447946
2021-09-24 22:13:56.918619 : Epoch  1, Batch    617, Loss  0.897835, Average Loss  0.888403, Time  0.447014
2021-09-24 22:13:58.524691 : Epoch  1, Batch    249, Loss  0.988268, Average Loss  1.308497, Time  0.448071
2021-09-24 22:14:03.002188 : Epoch  1, Batch    618, Loss  0.889308, Average Loss  0.888391, Time  0.449625
2021-09-24 22:14:04.557864 : Epoch  1, Batch    250, Loss  1.001034, Average Loss  1.305258, Time  0.454847
2021-09-24 22:14:09.109126 : Epoch  1, Batch    619, Loss  0.878627, Average Loss  0.888389, Time  0.461805
2021-09-24 22:14:10.586818 : Epoch  1, Batch    251, Loss  0.981414, Average Loss  1.301842, Time  0.446675
2021-09-24 22:14:15.185859 : Epoch  1, Batch    620, Loss  0.874876, Average Loss  0.888375, Time  0.446002
2021-09-24 22:14:16.610979 : Epoch  1, Batch    252, Loss  0.978204, Average Loss  1.298432, Time  0.445318
2021-09-24 22:14:21.287364 : Epoch  1, Batch    621, Loss  0.875310, Average Loss  0.888338, Time  0.448212
2021-09-24 22:14:22.635845 : Epoch  1, Batch    253, Loss  0.976466, Average Loss  1.294979, Time  0.446078
2021-09-24 22:14:27.376251 : Epoch  1, Batch    622, Loss  0.879667, Average Loss  0.888308, Time  0.446599
2021-09-24 22:14:28.684220 : Epoch  1, Batch    254, Loss  0.987471, Average Loss  1.291679, Time  0.459272
2021-09-24 22:14:33.488522 : Epoch  1, Batch    623, Loss  0.888271, Average Loss  0.888296, Time  0.448898
2021-09-24 22:14:34.743366 : Epoch  1, Batch    255, Loss  0.975002, Average Loss  1.288233, Time  0.448623
2021-09-24 22:14:39.578435 : Epoch  1, Batch    624, Loss  0.880936, Average Loss  0.888270, Time  0.457972
2021-09-24 22:14:40.772266 : Epoch  1, Batch    256, Loss  0.977773, Average Loss  1.284808, Time  0.446416
2021-09-24 22:14:45.656688 : Epoch  1, Batch    625, Loss  0.866201, Average Loss  0.888104, Time  0.446213
2021-09-24 22:14:46.799801 : Epoch  1, Batch    257, Loss  0.964078, Average Loss  1.281339, Time  0.446483
2021-09-24 22:14:51.754057 : Epoch  1, Batch    626, Loss  0.854484, Average Loss  0.887889, Time  0.457685
2021-09-24 22:14:52.871899 : Epoch  1, Batch    258, Loss  0.974095, Average Loss  1.277910, Time  0.447387
2021-09-24 22:14:57.861851 : Epoch  1, Batch    627, Loss  0.894271, Average Loss  0.887926, Time  0.447556
2021-09-24 22:14:58.940631 : Epoch  1, Batch    259, Loss  0.994191, Average Loss  1.274573, Time  0.447173
2021-09-24 22:15:03.970795 : Epoch  1, Batch    628, Loss  0.874634, Average Loss  0.887888, Time  0.447438
2021-09-24 22:15:04.994915 : Epoch  1, Batch    260, Loss  0.977863, Average Loss  1.271165, Time  0.449206
2021-09-24 22:15:10.071415 : Epoch  1, Batch    629, Loss  0.880500, Average Loss  0.887731, Time  0.448395
2021-09-24 22:15:11.093981 : Epoch  1, Batch    261, Loss  0.973127, Average Loss  1.267732, Time  0.464210
2021-09-24 22:15:16.153076 : Epoch  1, Batch    630, Loss  0.884897, Average Loss  0.887627, Time  0.446726
2021-09-24 22:15:17.150184 : Epoch  1, Batch    262, Loss  0.982263, Average Loss  1.264347, Time  0.445794
2021-09-24 22:15:22.237797 : Epoch  1, Batch    631, Loss  0.883047, Average Loss  0.887487, Time  0.447443
2021-09-24 22:15:23.199286 : Epoch  1, Batch    263, Loss  0.977961, Average Loss  1.260948, Time  0.448555
2021-09-24 22:15:28.335044 : Epoch  1, Batch    632, Loss  0.881894, Average Loss  0.887424, Time  0.446407
2021-09-24 22:15:29.255073 : Epoch  1, Batch    264, Loss  0.978320, Average Loss  1.257557, Time  0.448177
2021-09-24 22:15:34.423566 : Epoch  1, Batch    633, Loss  0.893465, Average Loss  0.887463, Time  0.446175
2021-09-24 22:15:35.322513 : Epoch  1, Batch    265, Loss  0.976867, Average Loss  1.254194, Time  0.447266
2021-09-24 22:15:40.514721 : Epoch  1, Batch    634, Loss  0.881092, Average Loss  0.887336, Time  0.458766
2021-09-24 22:15:41.378761 : Epoch  1, Batch    266, Loss  0.962712, Average Loss  1.250774, Time  0.447793
2021-09-24 22:15:46.616564 : Epoch  1, Batch    635, Loss  0.886010, Average Loss  0.887282, Time  0.446742
2021-09-24 22:15:47.436411 : Epoch  1, Batch    267, Loss  0.976401, Average Loss  1.247371, Time  0.448207
2021-09-24 22:15:52.703811 : Epoch  1, Batch    636, Loss  0.882892, Average Loss  0.887202, Time  0.451455
2021-09-24 22:15:53.476974 : Epoch  1, Batch    268, Loss  0.959167, Average Loss  1.243851, Time  0.450415
2021-09-24 22:15:58.790663 : Epoch  1, Batch    637, Loss  0.885128, Average Loss  0.887200, Time  0.446416
2021-09-24 22:15:59.582254 : Epoch  1, Batch    269, Loss  0.986451, Average Loss  1.240517, Time  0.461810
2021-09-24 22:16:04.898258 : Epoch  1, Batch    638, Loss  0.875573, Average Loss  0.887098, Time  0.448812
2021-09-24 22:16:05.656023 : Epoch  1, Batch    270, Loss  0.965451, Average Loss  1.237075, Time  0.447240
2021-09-24 22:16:10.981825 : Epoch  1, Batch    639, Loss  0.879487, Average Loss  0.886986, Time  0.445803
2021-09-24 22:16:11.692359 : Epoch  1, Batch    271, Loss  0.976336, Average Loss  1.233663, Time  0.446478
2021-09-24 22:16:17.063085 : Epoch  1, Batch    640, Loss  0.867287, Average Loss  0.886936, Time  0.445872
2021-09-24 22:16:17.728786 : Epoch  1, Batch    272, Loss  0.967820, Average Loss  1.230239, Time  0.445890
2021-09-24 22:16:23.164701 : Epoch  1, Batch    641, Loss  0.882838, Average Loss  0.886949, Time  0.459398
2021-09-24 22:16:23.766752 : Epoch  1, Batch    273, Loss  0.995410, Average Loss  1.226980, Time  0.446005
2021-09-24 22:16:29.250518 : Epoch  1, Batch    642, Loss  0.867270, Average Loss  0.886899, Time  0.446991
2021-09-24 22:16:29.806572 : Epoch  1, Batch    274, Loss  0.945879, Average Loss  1.223462, Time  0.445597
2021-09-24 22:16:35.330422 : Epoch  1, Batch    643, Loss  0.880539, Average Loss  0.886824, Time  0.446747
2021-09-24 22:16:35.852124 : Epoch  1, Batch    275, Loss  0.957648, Average Loss  1.220018, Time  0.445968
2021-09-24 22:16:41.430293 : Epoch  1, Batch    644, Loss  0.872954, Average Loss  0.886691, Time  0.446004
2021-09-24 22:16:41.917209 : Epoch  1, Batch    276, Loss  0.953974, Average Loss  1.216472, Time  0.461599
2021-09-24 22:16:47.558665 : Epoch  1, Batch    645, Loss  0.895882, Average Loss  0.886778, Time  0.450378
2021-09-24 22:16:47.981848 : Epoch  1, Batch    277, Loss  0.953869, Average Loss  1.212991, Time  0.445699
2021-09-24 22:16:53.673095 : Epoch  1, Batch    646, Loss  0.887118, Average Loss  0.886771, Time  0.448710
2021-09-24 22:16:54.036532 : Epoch  1, Batch    278, Loss  0.951087, Average Loss  1.209499, Time  0.446405
2021-09-24 22:16:59.796318 : Epoch  1, Batch    647, Loss  0.894110, Average Loss  0.886809, Time  0.447575
2021-09-24 22:17:00.107192 : Epoch  1, Batch    279, Loss  0.959145, Average Loss  1.206038, Time  0.446221
2021-09-24 22:17:05.897573 : Epoch  1, Batch    648, Loss  0.875400, Average Loss  0.886776, Time  0.447152
2021-09-24 22:17:06.154403 : Epoch  1, Batch    280, Loss  0.941908, Average Loss  1.202457, Time  0.456488
2021-09-24 22:17:12.013198 : Epoch  1, Batch    649, Loss  0.880983, Average Loss  0.886704, Time  0.456779
2021-09-24 22:17:12.207036 : Epoch  1, Batch    281, Loss  0.966064, Average Loss  1.199079, Time  0.451622
2021-09-24 22:17:18.121978 : Epoch  1, Batch    650, Loss  0.876747, Average Loss  0.886551, Time  0.447472
2021-09-24 22:17:18.281055 : Epoch  1, Batch    282, Loss  0.963530, Average Loss  1.195688, Time  0.452294
2021-09-24 22:17:24.209915 : Epoch  1, Batch    651, Loss  0.889298, Average Loss  0.886568, Time  0.447115
2021-09-24 22:17:24.345803 : Epoch  1, Batch    283, Loss  0.942443, Average Loss  1.192205, Time  0.446819
2021-09-24 22:17:30.313341 : Epoch  1, Batch    652, Loss  0.882696, Average Loss  0.886577, Time  0.446673
2021-09-24 22:17:30.444551 : Epoch  1, Batch    284, Loss  0.959669, Average Loss  1.188829, Time  0.457217
2021-09-24 22:17:36.401342 : Epoch  1, Batch    653, Loss  0.872998, Average Loss  0.886528, Time  0.446470
2021-09-24 22:17:36.502767 : Epoch  1, Batch    285, Loss  0.965057, Average Loss  1.185434, Time  0.447678
2021-09-24 22:17:42.512189 : Epoch  1, Batch    654, Loss  0.877126, Average Loss  0.886421, Time  0.448724
2021-09-24 22:17:42.620337 : Epoch  1, Batch    286, Loss  0.956356, Average Loss  1.182019, Time  0.448655
2021-09-24 22:17:48.633112 : Epoch  1, Batch    655, Loss  0.873757, Average Loss  0.886371, Time  0.448635
2021-09-24 22:17:48.695553 : Epoch  1, Batch    287, Loss  0.949802, Average Loss  1.178557, Time  0.449830
2021-09-24 22:17:54.732614 : Epoch  1, Batch    656, Loss  0.866093, Average Loss  0.886296, Time  0.458776
2021-09-24 22:17:54.778174 : Epoch  1, Batch    288, Loss  0.949918, Average Loss  1.175148, Time  0.449180
2021-09-24 22:18:00.836054 : Epoch  1, Batch    657, Loss  0.893004, Average Loss  0.886333, Time  0.446806
2021-09-24 22:18:00.868721 : Epoch  1, Batch    289, Loss  0.960190, Average Loss  1.171769, Time  0.448478
2021-09-24 22:18:06.937447 : Epoch  1, Batch    290, Loss  0.934308, Average Loss  1.168323, Time  0.446501
2021-09-24 22:18:06.972085 : Epoch  1, Batch    658, Loss  0.867943, Average Loss  0.886187, Time  0.446402
2021-09-24 22:18:13.073891 : Epoch  1, Batch    291, Loss  0.935638, Average Loss  1.164848, Time  0.454826
2021-09-24 22:18:13.108831 : Epoch  1, Batch    659, Loss  0.882342, Average Loss  0.886128, Time  0.445822
2021-09-24 22:18:19.122659 : Epoch  1, Batch    292, Loss  0.964642, Average Loss  1.161569, Time  0.450327
2021-09-24 22:18:19.209216 : Epoch  1, Batch    660, Loss  0.886573, Average Loss  0.886149, Time  0.446542
2021-09-24 22:18:25.187718 : Epoch  1, Batch    293, Loss  0.964021, Average Loss  1.158332, Time  0.448652
2021-09-24 22:18:25.304829 : Epoch  1, Batch    661, Loss  0.874082, Average Loss  0.886068, Time  0.445910
2021-09-24 22:18:31.254513 : Epoch  1, Batch    294, Loss  0.936934, Average Loss  1.154946, Time  0.446613
2021-09-24 22:18:31.379922 : Epoch  1, Batch    662, Loss  0.887409, Average Loss  0.886088, Time  0.448503
2021-09-24 22:18:37.333471 : Epoch  1, Batch    295, Loss  0.955628, Average Loss  1.151691, Time  0.446280
2021-09-24 22:18:37.457996 : Epoch  1, Batch    663, Loss  0.870030, Average Loss  0.886037, Time  0.446516
2021-09-24 22:18:43.374230 : Epoch  1, Batch    296, Loss  0.952184, Average Loss  1.148440, Time  0.445426
2021-09-24 22:18:43.563076 : Epoch  1, Batch    664, Loss  0.888739, Average Loss  0.886042, Time  0.457918
2021-09-24 22:18:49.388910 : Epoch  1, Batch    297, Loss  0.950479, Average Loss  1.145267, Time  0.446925
2021-09-24 22:18:49.627788 : Epoch  1, Batch    665, Loss  0.883933, Average Loss  0.885986, Time  0.446712
2021-09-24 22:18:55.449220 : Epoch  1, Batch    298, Loss  0.952728, Average Loss  1.142160, Time  0.446558
2021-09-24 22:18:55.695824 : Epoch  1, Batch    666, Loss  0.877845, Average Loss  0.885907, Time  0.445810
2021-09-24 22:19:01.515067 : Epoch  1, Batch    299, Loss  0.954750, Average Loss  1.139168, Time  0.457447
2021-09-24 22:19:01.797280 : Epoch  1, Batch    667, Loss  0.885670, Average Loss  0.885946, Time  0.448184
2021-09-24 22:19:07.558320 : Epoch  1, Batch    300, Loss  0.937813, Average Loss  1.136195, Time  0.445939
2021-09-24 22:19:07.879431 : Epoch  1, Batch    668, Loss  0.878146, Average Loss  0.885865, Time  0.448275
2021-09-24 22:19:13.985903 : Epoch  1, Batch    669, Loss  0.878926, Average Loss  0.885805, Time  0.448766
2021-09-24 22:19:20.074949 : Epoch  1, Batch    670, Loss  0.880397, Average Loss  0.885689, Time  0.445810
2021-09-24 22:19:26.177347 : Epoch  1, Batch    671, Loss  0.879228, Average Loss  0.885620, Time  0.456160
2021-09-24 22:19:32.271435 : Epoch  1, Batch    672, Loss  0.861710, Average Loss  0.885477, Time  0.446430
2021-09-24 22:19:38.403859 : Epoch  1, Batch    673, Loss  0.876474, Average Loss  0.885399, Time  0.453884
2021-09-24 22:19:44.516423 : Epoch  1, Batch    674, Loss  0.879845, Average Loss  0.885335, Time  0.446600
2021-09-24 22:19:50.627060 : Epoch  1, Batch    675, Loss  0.874124, Average Loss  0.885316, Time  0.452169
2021-09-24 22:19:56.717725 : Epoch  1, Batch    676, Loss  0.878803, Average Loss  0.885211, Time  0.448721
2021-09-24 22:20:02.821334 : Epoch  1, Batch    677, Loss  0.895481, Average Loss  0.885242, Time  0.450989
2021-09-24 22:20:08.913269 : Epoch  1, Batch    678, Loss  0.875804, Average Loss  0.885112, Time  0.447376
2021-09-24 22:20:15.015139 : Epoch  1, Batch    679, Loss  0.894697, Average Loss  0.885169, Time  0.452956
2021-09-24 22:20:21.112814 : Epoch  1, Batch    680, Loss  0.880125, Average Loss  0.885121, Time  0.446752
2021-09-24 22:20:27.199834 : Epoch  1, Batch    681, Loss  0.872686, Average Loss  0.884977, Time  0.449004
2021-09-24 22:20:33.291512 : Epoch  1, Batch    682, Loss  0.891133, Average Loss  0.885067, Time  0.447956
2021-09-24 22:20:39.395475 : Epoch  1, Batch    683, Loss  0.886506, Average Loss  0.885095, Time  0.445876
2021-09-24 22:20:45.499926 : Epoch  1, Batch    684, Loss  0.884341, Average Loss  0.885087, Time  0.449920
2021-09-24 22:20:51.589649 : Epoch  1, Batch    685, Loss  0.896380, Average Loss  0.885155, Time  0.446459
2021-09-24 22:20:57.702525 : Epoch  1, Batch    686, Loss  0.872971, Average Loss  0.885091, Time  0.460904
2021-09-24 22:21:03.797546 : Epoch  1, Batch    687, Loss  0.881889, Average Loss  0.885034, Time  0.446210
2021-09-24 22:21:09.898829 : Epoch  1, Batch    688, Loss  0.873670, Average Loss  0.885046, Time  0.455790
2021-09-24 22:21:15.990550 : Epoch  1, Batch    689, Loss  0.887546, Average Loss  0.885053, Time  0.445501
2021-09-24 22:21:22.106074 : Epoch  1, Batch    690, Loss  0.901037, Average Loss  0.885099, Time  0.447977
2021-09-24 22:21:28.198862 : Epoch  1, Batch    691, Loss  0.875844, Average Loss  0.884991, Time  0.446770
2021-09-24 22:21:34.300859 : Epoch  1, Batch    692, Loss  0.878791, Average Loss  0.884968, Time  0.446752
2021-09-24 22:21:40.407013 : Epoch  1, Batch    693, Loss  0.890189, Average Loss  0.884992, Time  0.447686
2021-09-24 22:21:46.501729 : Epoch  1, Batch    694, Loss  0.888050, Average Loss  0.885067, Time  0.460658
2021-09-24 22:21:52.590871 : Epoch  1, Batch    695, Loss  0.877170, Average Loss  0.885012, Time  0.446782
2021-09-24 22:21:58.687926 : Epoch  1, Batch    696, Loss  0.879398, Average Loss  0.885010, Time  0.450726
2021-09-24 22:22:04.764911 : Epoch  1, Batch    697, Loss  0.876983, Average Loss  0.884858, Time  0.447140
2021-09-24 22:22:10.865816 : Epoch  1, Batch    698, Loss  0.898710, Average Loss  0.884920, Time  0.447032
2021-09-24 22:22:16.951850 : Epoch  1, Batch    699, Loss  0.874615, Average Loss  0.884884, Time  0.451703
2021-09-24 22:22:23.032382 : Epoch  1, Batch    700, Loss  0.881505, Average Loss  0.884857, Time  0.445433
2021-09-24 22:23:57.673847 : CheckPoint: Validation Loss  0.00015757, Best Loss  0.00015757
2021-09-24 22:23:57.710262 : Best Model Updated
2021-09-24 22:24:04.425811 : Epoch  1, Batch    301, Loss  0.957154, Average Loss  1.133291, Time  0.447379
2021-09-24 22:24:10.483935 : Epoch  1, Batch    302, Loss  0.951333, Average Loss  1.130399, Time  0.446761
2021-09-24 22:24:16.544238 : Epoch  1, Batch    303, Loss  0.937928, Average Loss  1.127505, Time  0.449790
2021-09-24 22:24:22.640885 : Epoch  1, Batch    304, Loss  0.944292, Average Loss  1.124640, Time  0.461976
2021-09-24 22:24:28.695297 : Epoch  1, Batch    305, Loss  0.939689, Average Loss  1.121828, Time  0.446670
2021-09-24 22:24:34.762237 : Epoch  1, Batch    306, Loss  0.947063, Average Loss  1.119092, Time  0.454639
2021-09-24 22:24:40.813427 : Epoch  1, Batch    307, Loss  0.956574, Average Loss  1.116459, Time  0.446611
2021-09-24 22:24:46.915360 : Epoch  1, Batch    308, Loss  0.943928, Average Loss  1.113778, Time  0.455045
2021-09-24 22:24:52.985323 : Epoch  1, Batch    309, Loss  0.948364, Average Loss  1.111191, Time  0.446182
2021-09-24 22:24:59.058263 : Epoch  1, Batch    310, Loss  0.936051, Average Loss  1.108509, Time  0.448944
2021-09-24 22:25:05.127996 : Epoch  1, Batch    311, Loss  0.921663, Average Loss  1.105778, Time  0.445946
2021-09-24 22:25:11.191295 : Epoch  1, Batch    312, Loss  0.927477, Average Loss  1.103069, Time  0.452228
2021-09-24 22:25:17.257607 : Epoch  1, Batch    313, Loss  0.925172, Average Loss  1.100398, Time  0.447604
2021-09-24 22:25:23.305921 : Epoch  1, Batch    314, Loss  0.934925, Average Loss  1.097813, Time  0.449619
2021-09-24 22:25:29.361894 : Epoch  1, Batch    315, Loss  0.943042, Average Loss  1.095236, Time  0.450093
2021-09-24 22:25:35.417948 : Epoch  1, Batch    316, Loss  0.945002, Average Loss  1.092684, Time  0.446137
2021-09-24 22:25:41.459963 : Epoch  1, Batch    317, Loss  0.933119, Average Loss  1.090037, Time  0.446027
2021-09-24 22:25:47.526694 : Epoch  1, Batch    318, Loss  0.933455, Average Loss  1.087496, Time  0.455738
2021-09-24 22:25:53.605508 : Epoch  1, Batch    319, Loss  0.927036, Average Loss  1.084875, Time  0.457538
2021-09-24 22:25:59.695352 : Epoch  1, Batch    320, Loss  0.939253, Average Loss  1.082404, Time  0.449106
2021-09-24 22:26:05.749464 : Epoch  1, Batch    321, Loss  0.943413, Average Loss  1.079961, Time  0.446530
2021-09-24 22:26:11.806343 : Epoch  1, Batch    322, Loss  0.947931, Average Loss  1.077567, Time  0.450281
2021-09-24 22:26:17.871179 : Epoch  1, Batch    323, Loss  0.924701, Average Loss  1.075101, Time  0.447867
2021-09-24 22:26:23.931489 : Epoch  1, Batch    324, Loss  0.929850, Average Loss  1.072639, Time  0.448701
2021-09-24 22:26:30.017148 : Epoch  1, Batch    325, Loss  0.931937, Average Loss  1.070210, Time  0.445306
2021-09-24 22:26:36.069459 : Epoch  1, Batch    326, Loss  0.951029, Average Loss  1.067902, Time  0.445353
2021-09-24 22:26:42.141088 : Epoch  1, Batch    327, Loss  0.925359, Average Loss  1.065495, Time  0.463019
2021-09-24 22:26:48.190931 : Epoch  1, Batch    328, Loss  0.938510, Average Loss  1.063152, Time  0.445625
2021-09-24 22:26:54.250862 : Epoch  1, Batch    329, Loss  0.934515, Average Loss  1.060871, Time  0.448846
2021-09-24 22:27:00.321307 : Epoch  1, Batch    330, Loss  0.941275, Average Loss  1.058644, Time  0.447137
2021-09-24 22:27:06.371015 : Epoch  1, Batch    331, Loss  0.925791, Average Loss  1.056358, Time  0.446058
2021-09-24 22:27:12.422508 : Epoch  1, Batch    332, Loss  0.933816, Average Loss  1.054130, Time  0.446979
2021-09-24 22:27:12.574537 : CheckPoint: Validation Loss  0.00015246, Best Loss  0.00015056
2021-09-24 22:27:18.458664 : Epoch  1, Batch    333, Loss  0.928756, Average Loss  1.051985, Time  0.447379
2021-09-24 22:27:18.656078 : Epoch  1, Batch    701, Loss  0.880359, Average Loss  0.884940, Time  0.447948
2021-09-24 22:27:24.525112 : Epoch  1, Batch    334, Loss  0.933035, Average Loss  1.049715, Time  0.461254
2021-09-24 22:27:24.744007 : Epoch  1, Batch    702, Loss  0.880620, Average Loss  0.884863, Time  0.446339
2021-09-24 22:27:30.584567 : Epoch  1, Batch    335, Loss  0.943214, Average Loss  1.047646, Time  0.446069
2021-09-24 22:27:30.846926 : Epoch  1, Batch    703, Loss  0.874280, Average Loss  0.884727, Time  0.449757
2021-09-24 22:27:36.625864 : Epoch  1, Batch    336, Loss  0.906143, Average Loss  1.045447, Time  0.447369
2021-09-24 22:27:36.930972 : Epoch  1, Batch    704, Loss  0.872380, Average Loss  0.884645, Time  0.446820
2021-09-24 22:27:42.683431 : Epoch  1, Batch    337, Loss  0.928039, Average Loss  1.043449, Time  0.446961
2021-09-24 22:27:43.019898 : Epoch  1, Batch    705, Loss  0.901215, Average Loss  0.884636, Time  0.448212
2021-09-24 22:27:48.752591 : Epoch  1, Batch    338, Loss  0.947443, Average Loss  1.041570, Time  0.447380
2021-09-24 22:27:49.123507 : Epoch  1, Batch    706, Loss  0.894406, Average Loss  0.884687, Time  0.447736
2021-09-24 22:27:54.808712 : Epoch  1, Batch    339, Loss  0.941529, Average Loss  1.039702, Time  0.449920
2021-09-24 22:27:55.213416 : Epoch  1, Batch    707, Loss  0.874289, Average Loss  0.884529, Time  0.461939
2021-09-24 22:28:00.890258 : Epoch  1, Batch    340, Loss  0.933909, Average Loss  1.037889, Time  0.446204
2021-09-24 22:28:01.283151 : Epoch  1, Batch    708, Loss  0.873908, Average Loss  0.884402, Time  0.446414
2021-09-24 22:28:06.932357 : Epoch  1, Batch    341, Loss  0.928009, Average Loss  1.036104, Time  0.446417
2021-09-24 22:28:07.373807 : Epoch  1, Batch    709, Loss  0.874396, Average Loss  0.884218, Time  0.446386
2021-09-24 22:28:12.982991 : Epoch  1, Batch    342, Loss  0.929846, Average Loss  1.034293, Time  0.457036
2021-09-24 22:28:13.448806 : Epoch  1, Batch    710, Loss  0.885209, Average Loss  0.884239, Time  0.445710
2021-09-24 22:28:19.034019 : Epoch  1, Batch    343, Loss  0.943224, Average Loss  1.032678, Time  0.445056
2021-09-24 22:28:19.530771 : Epoch  1, Batch    711, Loss  0.881516, Average Loss  0.884184, Time  0.446630
2021-09-24 22:28:25.078849 : Epoch  1, Batch    344, Loss  0.931477, Average Loss  1.030928, Time  0.445414
2021-09-24 22:28:25.597261 : Epoch  1, Batch    712, Loss  0.889855, Average Loss  0.884160, Time  0.446569
2021-09-24 22:28:31.127336 : Epoch  1, Batch    345, Loss  0.936911, Average Loss  1.029265, Time  0.447038
2021-09-24 22:28:31.668228 : Epoch  1, Batch    713, Loss  0.889206, Average Loss  0.884108, Time  0.447349
2021-09-24 22:28:37.163207 : Epoch  1, Batch    346, Loss  0.922072, Average Loss  1.027635, Time  0.446364
2021-09-24 22:28:37.768949 : Epoch  1, Batch    714, Loss  0.879324, Average Loss  0.884081, Time  0.463150
2021-09-24 22:28:43.202332 : Epoch  1, Batch    347, Loss  0.948520, Average Loss  1.026155, Time  0.445881
2021-09-24 22:28:43.872640 : Epoch  1, Batch    715, Loss  0.872166, Average Loss  0.884031, Time  0.447521
2021-09-24 22:28:49.246013 : Epoch  1, Batch    348, Loss  0.916879, Average Loss  1.024544, Time  0.447140
2021-09-24 22:28:49.985387 : Epoch  1, Batch    716, Loss  0.883501, Average Loss  0.883999, Time  0.448469
2021-09-24 22:28:55.325667 : Epoch  1, Batch    349, Loss  0.918487, Average Loss  1.022898, Time  0.459777
2021-09-24 22:28:56.081048 : Epoch  1, Batch    717, Loss  0.870006, Average Loss  0.883907, Time  0.446533
2021-09-24 22:29:01.392443 : Epoch  1, Batch    350, Loss  0.933950, Average Loss  1.021390, Time  0.445948
2021-09-24 22:29:02.184053 : Epoch  1, Batch    718, Loss  0.873331, Average Loss  0.883831, Time  0.445727
2021-09-24 22:29:07.448971 : Epoch  1, Batch    351, Loss  0.913267, Average Loss  1.019786, Time  0.448071
2021-09-24 22:29:08.285739 : Epoch  1, Batch    719, Loss  0.884867, Average Loss  0.883882, Time  0.447141
2021-09-24 22:29:13.475965 : Epoch  1, Batch    352, Loss  0.926386, Average Loss  1.018259, Time  0.446031
2021-09-24 22:29:14.357999 : Epoch  1, Batch    720, Loss  0.883225, Average Loss  0.883780, Time  0.445412
2021-09-24 22:29:19.521416 : Epoch  1, Batch    353, Loss  0.915868, Average Loss  1.016576, Time  0.445212
2021-09-24 22:29:20.436839 : Epoch  1, Batch    721, Loss  0.883383, Average Loss  0.883822, Time  0.445694
2021-09-24 22:29:25.580741 : Epoch  1, Batch    354, Loss  0.933171, Average Loss  1.015106, Time  0.446279
2021-09-24 22:29:26.536142 : Epoch  1, Batch    722, Loss  0.882358, Average Loss  0.883776, Time  0.457438
2021-09-24 22:29:31.645146 : Epoch  1, Batch    355, Loss  0.944553, Average Loss  1.013656, Time  0.446727
2021-09-24 22:29:32.647954 : Epoch  1, Batch    723, Loss  0.872122, Average Loss  0.883631, Time  0.448742
2021-09-24 22:29:37.698491 : Epoch  1, Batch    356, Loss  0.934309, Average Loss  1.012242, Time  0.446609
2021-09-24 22:29:38.766710 : Epoch  1, Batch    724, Loss  0.870883, Average Loss  0.883470, Time  0.446740
2021-09-24 22:29:43.772484 : Epoch  1, Batch    357, Loss  0.932261, Average Loss  1.010780, Time  0.454489
2021-09-24 22:29:44.868917 : Epoch  1, Batch    725, Loss  0.879898, Average Loss  0.883435, Time  0.446309
2021-09-24 22:29:49.840202 : Epoch  1, Batch    358, Loss  0.941334, Average Loss  1.009350, Time  0.447095
2021-09-24 22:29:50.984284 : Epoch  1, Batch    726, Loss  0.892705, Average Loss  0.883482, Time  0.447593
2021-09-24 22:29:55.928430 : Epoch  1, Batch    359, Loss  0.934530, Average Loss  1.007935, Time  0.446722
2021-09-24 22:29:57.081886 : Epoch  1, Batch    727, Loss  0.875837, Average Loss  0.883440, Time  0.446191
2021-09-24 22:30:01.997552 : Epoch  1, Batch    360, Loss  0.926186, Average Loss  1.006528, Time  0.456015
2021-09-24 22:30:03.173969 : Epoch  1, Batch    728, Loss  0.889478, Average Loss  0.883384, Time  0.446681
2021-09-24 22:30:08.051908 : Epoch  1, Batch    361, Loss  0.923809, Average Loss  1.005078, Time  0.445662
2021-09-24 22:30:09.292402 : Epoch  1, Batch    729, Loss  0.885438, Average Loss  0.883361, Time  0.458031
2021-09-24 22:30:14.113107 : Epoch  1, Batch    362, Loss  0.918830, Average Loss  1.003703, Time  0.447934
2021-09-24 22:30:15.409421 : Epoch  1, Batch    730, Loss  0.873588, Average Loss  0.883297, Time  0.446407
2021-09-24 22:30:20.173198 : Epoch  1, Batch    363, Loss  0.920509, Average Loss  1.002289, Time  0.448670
2021-09-24 22:30:21.512251 : Epoch  1, Batch    731, Loss  0.880576, Average Loss  0.883289, Time  0.451139
2021-09-24 22:30:26.249895 : Epoch  1, Batch    364, Loss  0.922473, Average Loss  1.000846, Time  0.462677
2021-09-24 22:30:27.601908 : Epoch  1, Batch    732, Loss  0.891119, Average Loss  0.883319, Time  0.449103
2021-09-24 22:30:32.306714 : Epoch  1, Batch    365, Loss  0.926901, Average Loss  0.999496, Time  0.446800
2021-09-24 22:30:33.717786 : Epoch  1, Batch    733, Loss  0.889938, Average Loss  0.883242, Time  0.447391
2021-09-24 22:30:38.370492 : Epoch  1, Batch    366, Loss  0.928152, Average Loss  0.998256, Time  0.445477
2021-09-24 22:30:39.813218 : Epoch  1, Batch    734, Loss  0.886186, Average Loss  0.883223, Time  0.448501
2021-09-24 22:30:44.430969 : Epoch  1, Batch    367, Loss  0.928130, Average Loss  0.996965, Time  0.445487
2021-09-24 22:30:45.916105 : Epoch  1, Batch    735, Loss  0.892802, Average Loss  0.883225, Time  0.447171
2021-09-24 22:30:50.503766 : Epoch  1, Batch    368, Loss  0.935061, Average Loss  0.995617, Time  0.450117
2021-09-24 22:30:52.067681 : Epoch  1, Batch    736, Loss  0.872711, Average Loss  0.883110, Time  0.446605
2021-09-24 22:30:56.555859 : Epoch  1, Batch    369, Loss  0.912583, Average Loss  0.994201, Time  0.449849
2021-09-24 22:30:58.196796 : Epoch  1, Batch    737, Loss  0.865713, Average Loss  0.883013, Time  0.459443
2021-09-24 22:31:02.614892 : Epoch  1, Batch    370, Loss  0.941825, Average Loss  0.993005, Time  0.448655
2021-09-24 22:31:04.274118 : Epoch  1, Batch    738, Loss  0.895668, Average Loss  0.883074, Time  0.449163
2021-09-24 22:31:08.663824 : Epoch  1, Batch    371, Loss  0.907780, Average Loss  0.991612, Time  0.445931
2021-09-24 22:31:10.349411 : Epoch  1, Batch    739, Loss  0.879451, Average Loss  0.882977, Time  0.447866
2021-09-24 22:31:14.710016 : Epoch  1, Batch    372, Loss  0.914192, Average Loss  0.990349, Time  0.463716
2021-09-24 22:31:16.440720 : Epoch  1, Batch    740, Loss  0.880340, Average Loss  0.882996, Time  0.446985
2021-09-24 22:31:20.763176 : Epoch  1, Batch    373, Loss  0.919512, Average Loss  0.989146, Time  0.445513
2021-09-24 22:31:22.533289 : Epoch  1, Batch    741, Loss  0.888564, Average Loss  0.882966, Time  0.449187
2021-09-24 22:31:26.818259 : Epoch  1, Batch    374, Loss  0.920554, Average Loss  0.987983, Time  0.445826
2021-09-24 22:31:28.626722 : Epoch  1, Batch    742, Loss  0.888373, Average Loss  0.882932, Time  0.445934
2021-09-24 22:31:32.862246 : Epoch  1, Batch    375, Loss  0.909815, Average Loss  0.986767, Time  0.445228
2021-09-24 22:31:34.730883 : Epoch  1, Batch    743, Loss  0.867856, Average Loss  0.882790, Time  0.447873
2021-09-24 22:31:38.910467 : Epoch  1, Batch    376, Loss  0.904696, Average Loss  0.985573, Time  0.453481
2021-09-24 22:31:40.845235 : Epoch  1, Batch    744, Loss  0.878669, Average Loss  0.882753, Time  0.458470
2021-09-24 22:31:44.967080 : Epoch  1, Batch    377, Loss  0.919995, Average Loss  0.984408, Time  0.446994
2021-09-24 22:31:46.946123 : Epoch  1, Batch    745, Loss  0.884073, Average Loss  0.882727, Time  0.449885
2021-09-24 22:31:51.032315 : Epoch  1, Batch    378, Loss  0.921133, Average Loss  0.983248, Time  0.448154
2021-09-24 22:31:53.060572 : Epoch  1, Batch    746, Loss  0.886795, Average Loss  0.882692, Time  0.450028
2021-09-24 22:31:57.101520 : Epoch  1, Batch    379, Loss  0.918763, Average Loss  0.982142, Time  0.458061
2021-09-24 22:31:59.160842 : Epoch  1, Batch    747, Loss  0.878484, Average Loss  0.882643, Time  0.445980
2021-09-24 22:32:03.165476 : Epoch  1, Batch    380, Loss  0.915769, Average Loss  0.980971, Time  0.450862
2021-09-24 22:32:05.260216 : Epoch  1, Batch    748, Loss  0.865039, Average Loss  0.882525, Time  0.446507
2021-09-24 22:32:09.198377 : Epoch  1, Batch    381, Loss  0.922519, Average Loss  0.979929, Time  0.445626
2021-09-24 22:32:11.363710 : Epoch  1, Batch    749, Loss  0.859004, Average Loss  0.882309, Time  0.446325
2021-09-24 22:32:15.233821 : Epoch  1, Batch    382, Loss  0.914159, Average Loss  0.978804, Time  0.445435
2021-09-24 22:32:17.468945 : Epoch  1, Batch    750, Loss  0.872840, Average Loss  0.882309, Time  0.446215
2021-09-24 22:32:21.296629 : Epoch  1, Batch    383, Loss  0.921323, Average Loss  0.977728, Time  0.451724
2021-09-24 22:32:23.571853 : Epoch  1, Batch    751, Loss  0.875647, Average Loss  0.882328, Time  0.446376
2021-09-24 22:32:27.357525 : Epoch  1, Batch    384, Loss  0.901078, Average Loss  0.976672, Time  0.445973
2021-09-24 22:32:29.663031 : Epoch  1, Batch    752, Loss  0.874504, Average Loss  0.882221, Time  0.455659
2021-09-24 22:32:33.405826 : Epoch  1, Batch    385, Loss  0.911646, Average Loss  0.975605, Time  0.447285
2021-09-24 22:32:35.757012 : Epoch  1, Batch    753, Loss  0.907240, Average Loss  0.882301, Time  0.450095
2021-09-24 22:32:39.460671 : Epoch  1, Batch    386, Loss  0.914989, Average Loss  0.974591, Time  0.445831
2021-09-24 22:32:41.857064 : Epoch  1, Batch    754, Loss  0.878605, Average Loss  0.882309, Time  0.447272
2021-09-24 22:32:45.539890 : Epoch  1, Batch    387, Loss  0.905777, Average Loss  0.973544, Time  0.459372
2021-09-24 22:32:47.956035 : Epoch  1, Batch    755, Loss  0.877684, Average Loss  0.882216, Time  0.446877
2021-09-24 22:32:51.579878 : Epoch  1, Batch    388, Loss  0.935914, Average Loss  0.972674, Time  0.447245
2021-09-24 22:32:54.040878 : Epoch  1, Batch    756, Loss  0.883765, Average Loss  0.882163, Time  0.449256
2021-09-24 22:32:57.629925 : Epoch  1, Batch    389, Loss  0.934693, Average Loss  0.971797, Time  0.451699
2021-09-24 22:33:00.139905 : Epoch  1, Batch    757, Loss  0.871794, Average Loss  0.882146, Time  0.446020
2021-09-24 22:33:03.697275 : Epoch  1, Batch    390, Loss  0.916819, Average Loss  0.970893, Time  0.446364
2021-09-24 22:33:06.251035 : Epoch  1, Batch    758, Loss  0.865753, Average Loss  0.882082, Time  0.450487
2021-09-24 22:33:09.742364 : Epoch  1, Batch    391, Loss  0.928923, Average Loss  0.969995, Time  0.444916
2021-09-24 22:33:12.397120 : Epoch  1, Batch    759, Loss  0.890464, Average Loss  0.882091, Time  0.462809
2021-09-24 22:33:15.790207 : Epoch  1, Batch    392, Loss  0.914067, Average Loss  0.969130, Time  0.447113
2021-09-24 22:33:18.500819 : Epoch  1, Batch    760, Loss  0.878934, Average Loss  0.882096, Time  0.446376
2021-09-24 22:33:21.840242 : Epoch  1, Batch    393, Loss  0.920161, Average Loss  0.968233, Time  0.448601
2021-09-24 22:33:24.622132 : Epoch  1, Batch    761, Loss  0.894122, Average Loss  0.882090, Time  0.455358
2021-09-24 22:33:27.886310 : Epoch  1, Batch    394, Loss  0.924025, Average Loss  0.967461, Time  0.451370
2021-09-24 22:33:30.729319 : Epoch  1, Batch    762, Loss  0.888141, Average Loss  0.882093, Time  0.451280
2021-09-24 22:33:33.928030 : Epoch  1, Batch    395, Loss  0.917909, Average Loss  0.966609, Time  0.450344
2021-09-24 22:33:36.836670 : Epoch  1, Batch    763, Loss  0.884933, Average Loss  0.882047, Time  0.451285
2021-09-24 22:33:39.964896 : Epoch  1, Batch    396, Loss  0.931845, Average Loss  0.965862, Time  0.446306
2021-09-24 22:33:42.940255 : Epoch  1, Batch    764, Loss  0.869458, Average Loss  0.882003, Time  0.447822
2021-09-24 22:33:46.029929 : Epoch  1, Batch    397, Loss  0.935130, Average Loss  0.965081, Time  0.447997
2021-09-24 22:33:49.055450 : Epoch  1, Batch    765, Loss  0.886342, Average Loss  0.881945, Time  0.446012
2021-09-24 22:33:52.090296 : Epoch  1, Batch    398, Loss  0.915713, Average Loss  0.964247, Time  0.446637
2021-09-24 22:33:55.202882 : Epoch  1, Batch    766, Loss  0.889756, Average Loss  0.882028, Time  0.448531
2021-09-24 22:33:58.145403 : Epoch  1, Batch    399, Loss  0.921031, Average Loss  0.963524, Time  0.446182
2021-09-24 22:34:01.330572 : Epoch  1, Batch    767, Loss  0.867425, Average Loss  0.881932, Time  0.463004
2021-09-24 22:34:04.243912 : Epoch  1, Batch    400, Loss  0.915377, Average Loss  0.962705, Time  0.448285
2021-09-24 22:34:07.437626 : Epoch  1, Batch    768, Loss  0.879634, Average Loss  0.881822, Time  0.447466
2021-09-24 22:34:13.564307 : Epoch  1, Batch    769, Loss  0.893069, Average Loss  0.881867, Time  0.448384
2021-09-24 22:34:19.656811 : Epoch  1, Batch    770, Loss  0.864869, Average Loss  0.881851, Time  0.447258
2021-09-24 22:34:25.728441 : Epoch  1, Batch    771, Loss  0.865835, Average Loss  0.881872, Time  0.445937
2021-09-24 22:34:31.817562 : Epoch  1, Batch    772, Loss  0.873988, Average Loss  0.881821, Time  0.449548
2021-09-24 22:34:37.922852 : Epoch  1, Batch    773, Loss  0.864927, Average Loss  0.881605, Time  0.448509
2021-09-24 22:34:44.022735 : Epoch  1, Batch    774, Loss  0.891705, Average Loss  0.881624, Time  0.460516
2021-09-24 22:34:50.145919 : Epoch  1, Batch    775, Loss  0.887591, Average Loss  0.881646, Time  0.453587
2021-09-24 22:34:56.236906 : Epoch  1, Batch    776, Loss  0.872955, Average Loss  0.881615, Time  0.445814
2021-09-24 22:35:02.334118 : Epoch  1, Batch    777, Loss  0.876088, Average Loss  0.881560, Time  0.448930
2021-09-24 22:35:08.442044 : Epoch  1, Batch    778, Loss  0.890791, Average Loss  0.881707, Time  0.448090
2021-09-24 22:35:14.542401 : Epoch  1, Batch    779, Loss  0.879852, Average Loss  0.881559, Time  0.447673
2021-09-24 22:35:20.635795 : Epoch  1, Batch    780, Loss  0.884681, Average Loss  0.881539, Time  0.448165
2021-09-24 22:35:26.740405 : Epoch  1, Batch    781, Loss  0.877942, Average Loss  0.881419, Time  0.446543
2021-09-24 22:35:32.854420 : Epoch  1, Batch    782, Loss  0.897302, Average Loss  0.881465, Time  0.458584
2021-09-24 22:35:38.939106 : Epoch  1, Batch    783, Loss  0.873611, Average Loss  0.881341, Time  0.449029
2021-09-24 22:35:45.029195 : Epoch  1, Batch    784, Loss  0.865681, Average Loss  0.881140, Time  0.449663
2021-09-24 22:35:51.127682 : Epoch  1, Batch    785, Loss  0.877883, Average Loss  0.881045, Time  0.447032
2021-09-24 22:35:57.230841 : Epoch  1, Batch    786, Loss  0.879650, Average Loss  0.881059, Time  0.450109
2021-09-24 22:36:03.346535 : Epoch  1, Batch    787, Loss  0.869661, Average Loss  0.880935, Time  0.446063
2021-09-24 22:36:09.440839 : Epoch  1, Batch    788, Loss  0.886412, Average Loss  0.880956, Time  0.445738
2021-09-24 22:36:15.559995 : Epoch  1, Batch    789, Loss  0.882026, Average Loss  0.880967, Time  0.458926
2021-09-24 22:36:21.648803 : Epoch  1, Batch    790, Loss  0.881878, Average Loss  0.880983, Time  0.445785
2021-09-24 22:36:27.744709 : Epoch  1, Batch    791, Loss  0.873086, Average Loss  0.880936, Time  0.447458
2021-09-24 22:36:33.841760 : Epoch  1, Batch    792, Loss  0.870429, Average Loss  0.880838, Time  0.448228
2021-09-24 22:36:39.942786 : Epoch  1, Batch    793, Loss  0.876939, Average Loss  0.880744, Time  0.448285
2021-09-24 22:36:46.042197 : Epoch  1, Batch    794, Loss  0.883256, Average Loss  0.880647, Time  0.446514
2021-09-24 22:36:52.134540 : Epoch  1, Batch    795, Loss  0.869278, Average Loss  0.880628, Time  0.448246
2021-09-24 22:36:58.228435 : Epoch  1, Batch    796, Loss  0.892852, Average Loss  0.880622, Time  0.449790
2021-09-24 22:37:04.338024 : Epoch  1, Batch    797, Loss  0.883968, Average Loss  0.880544, Time  0.464403
2021-09-24 22:37:10.444376 : Epoch  1, Batch    798, Loss  0.888566, Average Loss  0.880583, Time  0.446112
2021-09-24 22:37:16.538151 : Epoch  1, Batch    799, Loss  0.878249, Average Loss  0.880568, Time  0.445762
2021-09-24 22:37:22.636733 : Epoch  1, Batch    800, Loss  0.884433, Average Loss  0.880553, Time  0.445625
2021-09-24 22:38:52.000549 : CheckPoint: Validation Loss  0.00015585, Best Loss  0.00015585
2021-09-24 22:38:52.038843 : Best Model Updated
2021-09-24 22:38:58.792884 : Epoch  1, Batch    401, Loss  0.919529, Average Loss  0.961846, Time  0.448023
2021-09-24 22:39:04.891449 : Epoch  1, Batch    402, Loss  0.914194, Average Loss  0.961084, Time  0.450530
2021-09-24 22:39:10.982548 : Epoch  1, Batch    403, Loss  0.900373, Average Loss  0.960269, Time  0.451344
2021-09-24 22:39:17.058408 : Epoch  1, Batch    404, Loss  0.929635, Average Loss  0.959588, Time  0.446098
2021-09-24 22:39:23.144834 : Epoch  1, Batch    405, Loss  0.913918, Average Loss  0.958854, Time  0.446217
2021-09-24 22:39:29.225090 : Epoch  1, Batch    406, Loss  0.919323, Average Loss  0.958105, Time  0.449716
2021-09-24 22:39:35.316921 : Epoch  1, Batch    407, Loss  0.930680, Average Loss  0.957472, Time  0.458930
2021-09-24 22:39:41.396830 : Epoch  1, Batch    408, Loss  0.914620, Average Loss  0.956809, Time  0.448563
2021-09-24 22:39:47.474626 : Epoch  1, Batch    409, Loss  0.938813, Average Loss  0.956281, Time  0.447968
2021-09-24 22:39:53.547063 : Epoch  1, Batch    410, Loss  0.916693, Average Loss  0.955564, Time  0.445347
2021-09-24 22:39:59.612038 : Epoch  1, Batch    411, Loss  0.906693, Average Loss  0.954847, Time  0.452238
2021-09-24 22:40:05.690517 : Epoch  1, Batch    412, Loss  0.919879, Average Loss  0.954210, Time  0.446564
2021-09-24 22:40:11.751956 : Epoch  1, Batch    413, Loss  0.924607, Average Loss  0.953608, Time  0.446462
2021-09-24 22:40:17.815131 : Epoch  1, Batch    414, Loss  0.911994, Average Loss  0.952904, Time  0.455885
2021-09-24 22:40:23.888307 : Epoch  1, Batch    415, Loss  0.905576, Average Loss  0.952263, Time  0.446672
2021-09-24 22:40:30.096063 : Epoch  1, Batch    416, Loss  0.917589, Average Loss  0.951702, Time  0.449970
2021-09-24 22:40:36.194709 : Epoch  1, Batch    417, Loss  0.917857, Average Loss  0.951094, Time  0.454537
2021-09-24 22:40:42.277254 : Epoch  1, Batch    418, Loss  0.929197, Average Loss  0.950544, Time  0.450190
2021-09-24 22:40:48.361574 : Epoch  1, Batch    419, Loss  0.938566, Average Loss  0.950007, Time  0.449534
2021-09-24 22:40:54.440998 : Epoch  1, Batch    420, Loss  0.934493, Average Loss  0.949430, Time  0.446290
2021-09-24 22:41:00.532302 : Epoch  1, Batch    421, Loss  0.906927, Average Loss  0.948781, Time  0.447178
2021-09-24 22:41:06.627171 : Epoch  1, Batch    422, Loss  0.923538, Average Loss  0.948227, Time  0.455555
2021-09-24 22:41:12.698604 : Epoch  1, Batch    423, Loss  0.922750, Average Loss  0.947644, Time  0.446046
2021-09-24 22:41:18.778942 : Epoch  1, Batch    424, Loss  0.912406, Average Loss  0.947005, Time  0.448122
2021-09-24 22:41:24.840802 : Epoch  1, Batch    425, Loss  0.910638, Average Loss  0.946349, Time  0.447407
2021-09-24 22:41:30.919492 : Epoch  1, Batch    426, Loss  0.923202, Average Loss  0.945789, Time  0.448257
2021-09-24 22:41:37.012909 : Epoch  1, Batch    427, Loss  0.912156, Average Loss  0.945256, Time  0.446551
2021-09-24 22:41:43.117061 : Epoch  1, Batch    428, Loss  0.905947, Average Loss  0.944644, Time  0.454381
2021-09-24 22:41:49.207282 : Epoch  1, Batch    429, Loss  0.899944, Average Loss  0.943982, Time  0.455658
2021-09-24 22:41:55.200249 : Epoch  1, Batch    430, Loss  0.892179, Average Loss  0.943357, Time  0.444526
2021-09-24 22:42:00.972912 : Epoch  1, Batch    431, Loss  0.922578, Average Loss  0.942960, Time  0.446218
2021-09-24 22:42:06.741652 : Epoch  1, Batch    432, Loss  0.921848, Average Loss  0.942436, Time  0.444243
2021-09-24 22:42:11.540932 : CheckPoint: Validation Loss  0.00014886, Best Loss  0.00014886
2021-09-24 22:42:11.557865 : Best Model Updated
2021-09-24 22:42:12.465186 : Epoch  1, Batch    433, Loss  0.906139, Average Loss  0.942024, Time  0.442750
2021-09-24 22:42:17.992735 : Epoch  1, Batch    801, Loss  0.882213, Average Loss  0.880493, Time  0.445511
2021-09-24 22:42:18.256454 : Epoch  1, Batch    434, Loss  0.928156, Average Loss  0.941650, Time  0.445719
2021-09-24 22:42:23.828316 : Epoch  1, Batch    802, Loss  0.886722, Average Loss  0.880543, Time  0.444457
2021-09-24 22:42:24.067188 : Epoch  1, Batch    435, Loss  0.910952, Average Loss  0.941151, Time  0.446470
2021-09-24 22:42:29.692614 : Epoch  1, Batch    803, Loss  0.879466, Average Loss  0.880562, Time  0.450557
2021-09-24 22:42:29.883379 : Epoch  1, Batch    436, Loss  0.907326, Average Loss  0.940653, Time  0.446186
2021-09-24 22:42:35.540975 : Epoch  1, Batch    804, Loss  0.870656, Average Loss  0.880507, Time  0.444148
2021-09-24 22:42:35.706035 : Epoch  1, Batch    437, Loss  0.912094, Average Loss  0.940079, Time  0.456836
2021-09-24 22:42:41.486972 : Epoch  1, Batch    805, Loss  0.880200, Average Loss  0.880505, Time  0.448055
2021-09-24 22:42:41.594849 : Epoch  1, Batch    438, Loss  0.907197, Average Loss  0.939521, Time  0.445426
2021-09-24 22:42:47.435558 : Epoch  1, Batch    806, Loss  0.890495, Average Loss  0.880582, Time  0.447210
2021-09-24 22:42:47.509270 : Epoch  1, Batch    439, Loss  0.904537, Average Loss  0.939071, Time  0.448913
2021-09-24 22:42:53.338859 : Epoch  1, Batch    807, Loss  0.880643, Average Loss  0.880686, Time  0.447505
2021-09-24 22:42:53.374832 : Epoch  1, Batch    440, Loss  0.913534, Average Loss  0.938632, Time  0.447123
2021-09-24 22:42:59.203415 : Epoch  1, Batch    441, Loss  0.915389, Average Loss  0.938279, Time  0.446877
2021-09-24 22:42:59.228124 : Epoch  1, Batch    808, Loss  0.886798, Average Loss  0.880733, Time  0.446486
2021-09-24 22:43:04.973394 : Epoch  1, Batch    442, Loss  0.898862, Average Loss  0.937769, Time  0.443583
2021-09-24 22:43:05.032075 : Epoch  1, Batch    809, Loss  0.862995, Average Loss  0.880657, Time  0.444310
2021-09-24 22:43:10.751920 : Epoch  1, Batch    443, Loss  0.901702, Average Loss  0.937210, Time  0.446364
2021-09-24 22:43:10.846356 : Epoch  1, Batch    810, Loss  0.885039, Average Loss  0.880705, Time  0.446776
2021-09-24 22:43:16.488930 : Epoch  1, Batch    444, Loss  0.902794, Average Loss  0.936727, Time  0.447495
2021-09-24 22:43:16.608407 : Epoch  1, Batch    811, Loss  0.883234, Average Loss  0.880714, Time  0.456496
2021-09-24 22:43:22.296202 : Epoch  1, Batch    445, Loss  0.899385, Average Loss  0.936170, Time  0.455282
2021-09-24 22:43:22.426638 : Epoch  1, Batch    812, Loss  0.872290, Average Loss  0.880673, Time  0.444833
2021-09-24 22:43:28.054918 : Epoch  1, Batch    446, Loss  0.901601, Average Loss  0.935693, Time  0.443543
2021-09-24 22:43:28.211734 : Epoch  1, Batch    813, Loss  0.880068, Average Loss  0.880717, Time  0.443599
2021-09-24 22:43:33.809082 : Epoch  1, Batch    447, Loss  0.917425, Average Loss  0.935322, Time  0.443764
2021-09-24 22:43:33.999149 : Epoch  1, Batch    814, Loss  0.868802, Average Loss  0.880617, Time  0.443565
2021-09-24 22:43:39.562380 : Epoch  1, Batch    448, Loss  0.908447, Average Loss  0.934856, Time  0.445415
2021-09-24 22:43:39.786137 : Epoch  1, Batch    815, Loss  0.874491, Average Loss  0.880519, Time  0.445477
2021-09-24 22:43:45.485927 : Epoch  1, Batch    449, Loss  0.911666, Average Loss  0.934473, Time  0.446008
2021-09-24 22:43:45.701979 : Epoch  1, Batch    816, Loss  0.870637, Average Loss  0.880493, Time  0.445728
2021-09-24 22:43:51.238916 : Epoch  1, Batch    450, Loss  0.938061, Average Loss  0.934158, Time  0.446150
2021-09-24 22:43:51.465606 : Epoch  1, Batch    817, Loss  0.850064, Average Loss  0.880254, Time  0.445893
2021-09-24 22:43:56.988747 : Epoch  1, Batch    451, Loss  0.913573, Average Loss  0.933819, Time  0.444285
2021-09-24 22:43:57.239742 : Epoch  1, Batch    818, Loss  0.878014, Average Loss  0.880198, Time  0.444845
2021-09-24 22:44:02.736983 : Epoch  1, Batch    452, Loss  0.892834, Average Loss  0.933392, Time  0.443225
2021-09-24 22:44:03.028534 : Epoch  1, Batch    819, Loss  0.889545, Average Loss  0.880252, Time  0.457335
2021-09-24 22:44:08.511390 : Epoch  1, Batch    453, Loss  0.910481, Average Loss  0.933062, Time  0.459596
2021-09-24 22:44:08.778130 : Epoch  1, Batch    820, Loss  0.872550, Average Loss  0.880241, Time  0.445829
2021-09-24 22:44:14.268843 : Epoch  1, Batch    454, Loss  0.918822, Average Loss  0.932719, Time  0.447961
2021-09-24 22:44:14.563397 : Epoch  1, Batch    821, Loss  0.882333, Average Loss  0.880276, Time  0.446282
2021-09-24 22:44:20.044976 : Epoch  1, Batch    455, Loss  0.903257, Average Loss  0.932360, Time  0.445026
2021-09-24 22:44:20.338995 : Epoch  1, Batch    822, Loss  0.889348, Average Loss  0.880324, Time  0.443786
2021-09-24 22:44:25.789964 : Epoch  1, Batch    456, Loss  0.910806, Average Loss  0.932026, Time  0.445406
2021-09-24 22:44:26.123340 : Epoch  1, Batch    823, Loss  0.882798, Average Loss  0.880297, Time  0.445277
2021-09-24 22:44:31.674072 : Epoch  1, Batch    457, Loss  0.914768, Average Loss  0.931779, Time  0.446082
2021-09-24 22:44:32.011094 : Epoch  1, Batch    824, Loss  0.872395, Average Loss  0.880254, Time  0.446048
2021-09-24 22:44:37.633155 : Epoch  1, Batch    458, Loss  0.906069, Average Loss  0.931439, Time  0.445905
2021-09-24 22:44:38.009908 : Epoch  1, Batch    825, Loss  0.891649, Average Loss  0.880381, Time  0.446907
2021-09-24 22:44:43.390846 : Epoch  1, Batch    459, Loss  0.921817, Average Loss  0.931077, Time  0.444603
2021-09-24 22:44:43.778560 : Epoch  1, Batch    826, Loss  0.890371, Average Loss  0.880561, Time  0.445266
2021-09-24 22:44:49.130577 : Epoch  1, Batch    460, Loss  0.901028, Average Loss  0.930693, Time  0.446364
2021-09-24 22:44:49.550855 : Epoch  1, Batch    827, Loss  0.879942, Average Loss  0.880489, Time  0.455300
2021-09-24 22:44:54.882299 : Epoch  1, Batch    461, Loss  0.899483, Average Loss  0.930325, Time  0.443779
2021-09-24 22:44:55.331872 : Epoch  1, Batch    828, Loss  0.884640, Average Loss  0.880539, Time  0.445697
2021-09-24 22:45:00.606448 : Epoch  1, Batch    462, Loss  0.905818, Average Loss  0.929942, Time  0.461546
2021-09-24 22:45:01.055934 : Epoch  1, Batch    829, Loss  0.872792, Average Loss  0.880501, Time  0.443832
2021-09-24 22:45:06.436299 : Epoch  1, Batch    463, Loss  0.912753, Average Loss  0.929616, Time  0.446027
2021-09-24 22:45:06.940355 : Epoch  1, Batch    830, Loss  0.883093, Average Loss  0.880492, Time  0.446679
2021-09-24 22:45:12.252440 : Epoch  1, Batch    464, Loss  0.903001, Average Loss  0.929240, Time  0.446152
2021-09-24 22:45:12.798851 : Epoch  1, Batch    831, Loss  0.887401, Average Loss  0.880513, Time  0.446664
2021-09-24 22:45:18.137383 : Epoch  1, Batch    465, Loss  0.894462, Average Loss  0.928828, Time  0.446880
2021-09-24 22:45:18.723204 : Epoch  1, Batch    832, Loss  0.870982, Average Loss  0.880459, Time  0.445405
2021-09-24 22:45:23.919856 : Epoch  1, Batch    466, Loss  0.912513, Average Loss  0.928577, Time  0.442571
2021-09-24 22:45:24.506743 : Epoch  1, Batch    833, Loss  0.884176, Average Loss  0.880412, Time  0.442615
2021-09-24 22:45:29.724494 : Epoch  1, Batch    467, Loss  0.889299, Average Loss  0.928141, Time  0.443642
2021-09-24 22:45:30.329176 : Epoch  1, Batch    834, Loss  0.877130, Average Loss  0.880393, Time  0.442833
2021-09-24 22:45:35.466297 : Epoch  1, Batch    468, Loss  0.910121, Average Loss  0.927896, Time  0.443733
2021-09-24 22:45:36.116877 : Epoch  1, Batch    835, Loss  0.883849, Average Loss  0.880382, Time  0.456316
2021-09-24 22:45:41.170595 : Epoch  1, Batch    469, Loss  0.904564, Average Loss  0.927486, Time  0.445103
2021-09-24 22:45:41.835527 : Epoch  1, Batch    836, Loss  0.880468, Average Loss  0.880370, Time  0.443086
2021-09-24 22:45:46.906591 : Epoch  1, Batch    470, Loss  0.923529, Average Loss  0.927277, Time  0.458358
2021-09-24 22:45:47.584245 : Epoch  1, Batch    837, Loss  0.878532, Average Loss  0.880337, Time  0.449696
2021-09-24 22:45:52.627102 : Epoch  1, Batch    471, Loss  0.914852, Average Loss  0.926969, Time  0.443753
2021-09-24 22:45:53.336257 : Epoch  1, Batch    838, Loss  0.871988, Average Loss  0.880319, Time  0.446114
2021-09-24 22:45:58.363559 : Epoch  1, Batch    472, Loss  0.919890, Average Loss  0.926730, Time  0.442971
2021-09-24 22:45:59.088720 : Epoch  1, Batch    839, Loss  0.884198, Average Loss  0.880342, Time  0.443984
2021-09-24 22:46:04.117757 : Epoch  1, Batch    473, Loss  0.911289, Average Loss  0.926309, Time  0.445045
2021-09-24 22:46:04.861990 : Epoch  1, Batch    840, Loss  0.882367, Average Loss  0.880418, Time  0.444022
2021-09-24 22:46:09.812730 : Epoch  1, Batch    474, Loss  0.897216, Average Loss  0.926066, Time  0.444957
2021-09-24 22:46:10.603265 : Epoch  1, Batch    841, Loss  0.876302, Average Loss  0.880385, Time  0.444970
2021-09-24 22:46:15.618225 : Epoch  1, Batch    475, Loss  0.914836, Average Loss  0.925852, Time  0.443337
2021-09-24 22:46:16.407426 : Epoch  1, Batch    842, Loss  0.894190, Average Loss  0.880520, Time  0.444841
2021-09-24 22:46:21.323313 : Epoch  1, Batch    476, Loss  0.920071, Average Loss  0.925682, Time  0.442551
2021-09-24 22:46:22.144111 : Epoch  1, Batch    843, Loss  0.880225, Average Loss  0.880518, Time  0.453272
2021-09-24 22:46:27.045934 : Epoch  1, Batch    477, Loss  0.885353, Average Loss  0.925340, Time  0.443933
2021-09-24 22:46:27.909240 : Epoch  1, Batch    844, Loss  0.869970, Average Loss  0.880503, Time  0.446489
2021-09-24 22:46:32.878432 : Epoch  1, Batch    478, Loss  0.890656, Average Loss  0.925038, Time  0.460277
2021-09-24 22:46:33.772939 : Epoch  1, Batch    845, Loss  0.892220, Average Loss  0.880485, Time  0.445376
2021-09-24 22:46:38.760284 : Epoch  1, Batch    479, Loss  0.900681, Average Loss  0.924745, Time  0.446899
2021-09-24 22:46:39.728321 : Epoch  1, Batch    846, Loss  0.864659, Average Loss  0.880372, Time  0.446243
2021-09-24 22:46:44.631735 : Epoch  1, Batch    480, Loss  0.908365, Average Loss  0.924578, Time  0.447351
2021-09-24 22:46:45.601149 : Epoch  1, Batch    847, Loss  0.876959, Average Loss  0.880287, Time  0.443041
2021-09-24 22:46:50.448650 : Epoch  1, Batch    481, Loss  0.896845, Average Loss  0.924231, Time  0.446444
2021-09-24 22:46:51.484297 : Epoch  1, Batch    848, Loss  0.888430, Average Loss  0.880352, Time  0.446713
2021-09-24 22:46:56.255243 : Epoch  1, Batch    482, Loss  0.901480, Average Loss  0.923921, Time  0.444032
2021-09-24 22:46:57.303795 : Epoch  1, Batch    849, Loss  0.884271, Average Loss  0.880368, Time  0.446724
2021-09-24 22:47:02.071086 : Epoch  1, Batch    483, Loss  0.912819, Average Loss  0.923773, Time  0.445229
2021-09-24 22:47:03.117088 : Epoch  1, Batch    850, Loss  0.876363, Average Loss  0.880366, Time  0.444307
2021-09-24 22:47:07.866833 : Epoch  1, Batch    484, Loss  0.898200, Average Loss  0.923466, Time  0.444491
2021-09-24 22:47:08.992532 : Epoch  1, Batch    851, Loss  0.881040, Average Loss  0.880325, Time  0.461551
2021-09-24 22:47:13.753285 : Epoch  1, Batch    485, Loss  0.907136, Average Loss  0.923176, Time  0.445644
2021-09-24 22:47:14.934807 : Epoch  1, Batch    852, Loss  0.867408, Average Loss  0.880249, Time  0.444781
2021-09-24 22:47:19.584176 : Epoch  1, Batch    486, Loss  0.913599, Average Loss  0.922962, Time  0.455173
2021-09-24 22:47:20.784635 : Epoch  1, Batch    853, Loss  0.877423, Average Loss  0.880271, Time  0.443861
2021-09-24 22:47:25.468235 : Epoch  1, Batch    487, Loss  0.906816, Average Loss  0.922747, Time  0.443514
2021-09-24 22:47:26.673283 : Epoch  1, Batch    854, Loss  0.882947, Average Loss  0.880300, Time  0.445008
2021-09-24 22:47:31.223947 : Epoch  1, Batch    488, Loss  0.922694, Average Loss  0.922611, Time  0.444466
2021-09-24 22:47:32.473743 : Epoch  1, Batch    855, Loss  0.883916, Average Loss  0.880351, Time  0.446229
2021-09-24 22:47:37.091311 : Epoch  1, Batch    489, Loss  0.910668, Average Loss  0.922364, Time  0.443762
2021-09-24 22:47:38.371174 : Epoch  1, Batch    856, Loss  0.866826, Average Loss  0.880354, Time  0.444807
2021-09-24 22:47:42.894109 : Epoch  1, Batch    490, Loss  0.899601, Average Loss  0.922190, Time  0.446857
2021-09-24 22:47:44.210038 : Epoch  1, Batch    857, Loss  0.890308, Average Loss  0.880341, Time  0.445944
2021-09-24 22:47:48.751918 : Epoch  1, Batch    491, Loss  0.909950, Average Loss  0.922062, Time  0.444843
2021-09-24 22:47:50.101355 : Epoch  1, Batch    858, Loss  0.882607, Average Loss  0.880414, Time  0.446089
2021-09-24 22:47:54.567576 : Epoch  1, Batch    492, Loss  0.911705, Average Loss  0.921797, Time  0.444227
2021-09-24 22:47:55.962959 : Epoch  1, Batch    859, Loss  0.881665, Average Loss  0.880411, Time  0.463981
2021-09-24 22:48:00.369748 : Epoch  1, Batch    493, Loss  0.915817, Average Loss  0.921556, Time  0.445217
2021-09-24 22:48:01.822419 : Epoch  1, Batch    860, Loss  0.882834, Average Loss  0.880392, Time  0.446315
2021-09-24 22:48:06.183081 : Epoch  1, Batch    494, Loss  0.907015, Average Loss  0.921406, Time  0.455979
2021-09-24 22:48:07.678967 : Epoch  1, Batch    861, Loss  0.886233, Average Loss  0.880453, Time  0.446687
2021-09-24 22:48:12.015642 : Epoch  1, Batch    495, Loss  0.894558, Average Loss  0.921101, Time  0.443389
2021-09-24 22:48:13.486885 : Epoch  1, Batch    862, Loss  0.884884, Average Loss  0.880440, Time  0.445043
2021-09-24 22:48:17.876036 : Epoch  1, Batch    496, Loss  0.902937, Average Loss  0.920855, Time  0.446566
2021-09-24 22:48:19.437449 : Epoch  1, Batch    863, Loss  0.881377, Average Loss  0.880497, Time  0.446401
2021-09-24 22:48:23.764228 : Epoch  1, Batch    497, Loss  0.899587, Average Loss  0.920600, Time  0.444369
2021-09-24 22:48:25.325284 : Epoch  1, Batch    864, Loss  0.881953, Average Loss  0.880463, Time  0.443724
2021-09-24 22:48:29.535359 : Epoch  1, Batch    498, Loss  0.917106, Average Loss  0.920422, Time  0.444145
2021-09-24 22:48:31.147932 : Epoch  1, Batch    865, Loss  0.872330, Average Loss  0.880405, Time  0.444212
2021-09-24 22:48:35.412385 : Epoch  1, Batch    499, Loss  0.887582, Average Loss  0.920086, Time  0.445318
2021-09-24 22:48:37.072483 : Epoch  1, Batch    866, Loss  0.872578, Average Loss  0.880379, Time  0.444231
2021-09-24 22:48:41.288893 : Epoch  1, Batch    500, Loss  0.905706, Average Loss  0.919926, Time  0.444064
2021-09-24 22:48:42.970444 : Epoch  1, Batch    867, Loss  0.883311, Average Loss  0.880367, Time  0.459962
2021-09-24 22:48:48.850261 : Epoch  1, Batch    868, Loss  0.872944, Average Loss  0.880341, Time  0.446822
2021-09-24 22:48:54.776497 : Epoch  1, Batch    869, Loss  0.881160, Average Loss  0.880352, Time  0.447347
2021-09-24 22:49:00.651866 : Epoch  1, Batch    870, Loss  0.879497, Average Loss  0.880348, Time  0.446314
2021-09-24 22:49:06.556955 : Epoch  1, Batch    871, Loss  0.878842, Average Loss  0.880346, Time  0.444025
2021-09-24 22:49:12.408993 : Epoch  1, Batch    872, Loss  0.874734, Average Loss  0.880411, Time  0.445262
2021-09-24 22:49:18.318567 : Epoch  1, Batch    873, Loss  0.873099, Average Loss  0.880394, Time  0.446469
2021-09-24 22:49:24.178050 : Epoch  1, Batch    874, Loss  0.874883, Average Loss  0.880369, Time  0.445002
2021-09-24 22:49:30.084738 : Epoch  1, Batch    875, Loss  0.873535, Average Loss  0.880366, Time  0.457850
2021-09-24 22:49:36.027895 : Epoch  1, Batch    876, Loss  0.895151, Average Loss  0.880448, Time  0.445247
2021-09-24 22:49:41.836806 : Epoch  1, Batch    877, Loss  0.888008, Average Loss  0.880410, Time  0.445569
2021-09-24 22:49:47.683123 : Epoch  1, Batch    878, Loss  0.882322, Average Loss  0.880443, Time  0.444443
2021-09-24 22:49:53.518859 : Epoch  1, Batch    879, Loss  0.882042, Average Loss  0.880380, Time  0.444330
2021-09-24 22:49:59.416820 : Epoch  1, Batch    880, Loss  0.875363, Average Loss  0.880356, Time  0.447203
2021-09-24 22:50:05.282130 : Epoch  1, Batch    881, Loss  0.869159, Average Loss  0.880338, Time  0.445679
2021-09-24 22:50:11.208573 : Epoch  1, Batch    882, Loss  0.885936, Average Loss  0.880312, Time  0.446064
2021-09-24 22:50:17.045319 : Epoch  1, Batch    883, Loss  0.874193, Average Loss  0.880251, Time  0.459247
2021-09-24 22:50:22.955260 : Epoch  1, Batch    884, Loss  0.863173, Average Loss  0.880145, Time  0.444206
2021-09-24 22:50:28.804381 : Epoch  1, Batch    885, Loss  0.876554, Average Loss  0.880046, Time  0.445472
2021-09-24 22:50:34.824716 : Epoch  1, Batch    886, Loss  0.881588, Average Loss  0.880089, Time  0.446141
2021-09-24 22:50:40.656892 : Epoch  1, Batch    887, Loss  0.876047, Average Loss  0.880060, Time  0.444972
2021-09-24 22:50:46.462803 : Epoch  1, Batch    888, Loss  0.875956, Average Loss  0.880071, Time  0.444424
2021-09-24 22:50:52.349812 : Epoch  1, Batch    889, Loss  0.874409, Average Loss  0.880005, Time  0.445396
2021-09-24 22:50:58.241570 : Epoch  1, Batch    890, Loss  0.885545, Average Loss  0.879928, Time  0.446252
2021-09-24 22:51:04.144281 : Epoch  1, Batch    891, Loss  0.875801, Average Loss  0.879928, Time  0.460662
2021-09-24 22:51:10.185140 : Epoch  1, Batch    892, Loss  0.879136, Average Loss  0.879930, Time  0.446994
2021-09-24 22:51:16.054182 : Epoch  1, Batch    893, Loss  0.863767, Average Loss  0.879797, Time  0.447181
2021-09-24 22:51:21.892211 : Epoch  1, Batch    894, Loss  0.862666, Average Loss  0.879670, Time  0.447238
2021-09-24 22:51:27.815827 : Epoch  1, Batch    895, Loss  0.872929, Average Loss  0.879649, Time  0.444379
2021-09-24 22:51:33.783915 : Epoch  1, Batch    896, Loss  0.888806, Average Loss  0.879696, Time  0.448557
2021-09-24 22:51:39.758728 : Epoch  1, Batch    897, Loss  0.871341, Average Loss  0.879668, Time  0.445050
2021-09-24 22:51:45.600862 : Epoch  1, Batch    898, Loss  0.880909, Average Loss  0.879579, Time  0.447088
2021-09-24 22:51:51.539078 : Epoch  1, Batch    899, Loss  0.901408, Average Loss  0.879713, Time  0.456992
2021-09-24 22:51:57.457996 : Epoch  1, Batch    900, Loss  0.885711, Average Loss  0.879734, Time  0.444784
2021-09-24 22:53:22.984619 : CheckPoint: Validation Loss  0.00015639, Best Loss  0.00015585
2021-09-24 22:53:28.890170 : Epoch  1, Batch    501, Loss  0.883909, Average Loss  0.919560, Time  0.458778
2021-09-24 22:53:34.722634 : Epoch  1, Batch    502, Loss  0.892672, Average Loss  0.919266, Time  0.445535
2021-09-24 22:53:40.590510 : Epoch  1, Batch    503, Loss  0.904293, Average Loss  0.919098, Time  0.445532
2021-09-24 22:53:46.468992 : Epoch  1, Batch    504, Loss  0.912250, Average Loss  0.918938, Time  0.445886
2021-09-24 22:53:52.277364 : Epoch  1, Batch    505, Loss  0.914137, Average Loss  0.918810, Time  0.444599
2021-09-24 22:53:58.083349 : Epoch  1, Batch    506, Loss  0.897450, Average Loss  0.918562, Time  0.445859
2021-09-24 22:54:03.921513 : Epoch  1, Batch    507, Loss  0.896448, Average Loss  0.918262, Time  0.445373
2021-09-24 22:54:09.729732 : Epoch  1, Batch    508, Loss  0.899563, Average Loss  0.918040, Time  0.445653
2021-09-24 22:54:15.536884 : Epoch  1, Batch    509, Loss  0.908777, Average Loss  0.917842, Time  0.455343
2021-09-24 22:54:21.314423 : Epoch  1, Batch    510, Loss  0.892404, Average Loss  0.917624, Time  0.444003
2021-09-24 22:54:27.170801 : Epoch  1, Batch    511, Loss  0.883889, Average Loss  0.917435, Time  0.446559
2021-09-24 22:54:33.081473 : Epoch  1, Batch    512, Loss  0.891671, Average Loss  0.917256, Time  0.447296
2021-09-24 22:54:38.925000 : Epoch  1, Batch    513, Loss  0.884871, Average Loss  0.917054, Time  0.445303
2021-09-24 22:54:44.749322 : Epoch  1, Batch    514, Loss  0.912370, Average Loss  0.916941, Time  0.447822
2021-09-24 22:54:50.580367 : Epoch  1, Batch    515, Loss  0.904381, Average Loss  0.916748, Time  0.446150
2021-09-24 22:54:56.411958 : Epoch  1, Batch    516, Loss  0.890081, Average Loss  0.916473, Time  0.444973
2021-09-24 22:55:02.229515 : Epoch  1, Batch    517, Loss  0.903232, Average Loss  0.916324, Time  0.462622
2021-09-24 22:55:08.026936 : Epoch  1, Batch    518, Loss  0.897051, Average Loss  0.916142, Time  0.447728
2021-09-24 22:55:13.893769 : Epoch  1, Batch    519, Loss  0.896126, Average Loss  0.915987, Time  0.444844
2021-09-24 22:55:19.723519 : Epoch  1, Batch    520, Loss  0.900436, Average Loss  0.915793, Time  0.444675
2021-09-24 22:55:25.681625 : Epoch  1, Batch    521, Loss  0.903360, Average Loss  0.915593, Time  0.446676
2021-09-24 22:55:31.509393 : Epoch  1, Batch    522, Loss  0.897052, Average Loss  0.915339, Time  0.443523
2021-09-24 22:55:37.342907 : Epoch  1, Batch    523, Loss  0.902510, Average Loss  0.915228, Time  0.447132
2021-09-24 22:55:43.199778 : Epoch  1, Batch    524, Loss  0.888419, Average Loss  0.915021, Time  0.446427
2021-09-24 22:55:49.033407 : Epoch  1, Batch    525, Loss  0.893301, Average Loss  0.914827, Time  0.459209
2021-09-24 22:55:54.834718 : Epoch  1, Batch    526, Loss  0.908399, Average Loss  0.914614, Time  0.446300
2021-09-24 22:56:00.743294 : Epoch  1, Batch    527, Loss  0.895416, Average Loss  0.914465, Time  0.443972
2021-09-24 22:56:06.552881 : Epoch  1, Batch    528, Loss  0.905240, Average Loss  0.914298, Time  0.443837
2021-09-24 22:56:12.403676 : Epoch  1, Batch    529, Loss  0.890800, Average Loss  0.914080, Time  0.444405
2021-09-24 22:56:18.188751 : Epoch  1, Batch    530, Loss  0.894728, Average Loss  0.913847, Time  0.444702
2021-09-24 22:56:24.023909 : Epoch  1, Batch    531, Loss  0.891032, Average Loss  0.913673, Time  0.443707
2021-09-24 22:56:29.834768 : Epoch  1, Batch    532, Loss  0.914834, Average Loss  0.913578, Time  0.444078
2021-09-24 22:56:35.701533 : Epoch  1, Batch    533, Loss  0.916584, Average Loss  0.913517, Time  0.456861
2021-09-24 22:56:36.313470 : CheckPoint: Validation Loss  0.00015262, Best Loss  0.00014886
2021-09-24 22:56:41.505274 : Epoch  1, Batch    534, Loss  0.906472, Average Loss  0.913384, Time  0.447593
2021-09-24 22:56:42.146527 : Epoch  1, Batch    901, Loss  0.863574, Average Loss  0.879650, Time  0.446201
2021-09-24 22:56:47.329455 : Epoch  1, Batch    535, Loss  0.880310, Average Loss  0.913070, Time  0.445240
2021-09-24 22:56:48.080563 : Epoch  1, Batch    902, Loss  0.881623, Average Loss  0.879655, Time  0.443767
2021-09-24 22:56:53.198776 : Epoch  1, Batch    536, Loss  0.885528, Average Loss  0.912967, Time  0.444625
2021-09-24 22:56:54.101411 : Epoch  1, Batch    903, Loss  0.880012, Average Loss  0.879684, Time  0.447056
2021-09-24 22:56:59.057023 : Epoch  1, Batch    537, Loss  0.919315, Average Loss  0.912923, Time  0.445834
2021-09-24 22:57:00.040808 : Epoch  1, Batch    904, Loss  0.870381, Average Loss  0.879674, Time  0.443945
2021-09-24 22:57:04.882044 : Epoch  1, Batch    538, Loss  0.904519, Average Loss  0.912709, Time  0.445065
2021-09-24 22:57:06.001978 : Epoch  1, Batch    905, Loss  0.863797, Average Loss  0.879487, Time  0.461973
2021-09-24 22:57:10.704410 : Epoch  1, Batch    539, Loss  0.893957, Average Loss  0.912471, Time  0.445994
2021-09-24 22:57:11.947642 : Epoch  1, Batch    906, Loss  0.870594, Average Loss  0.879368, Time  0.445128
2021-09-24 22:57:16.504733 : Epoch  1, Batch    540, Loss  0.901621, Average Loss  0.912309, Time  0.444046
2021-09-24 22:57:17.822993 : Epoch  1, Batch    907, Loss  0.870017, Average Loss  0.879346, Time  0.444777
2021-09-24 22:57:22.304284 : Epoch  1, Batch    541, Loss  0.895653, Average Loss  0.912148, Time  0.458765
2021-09-24 22:57:23.737140 : Epoch  1, Batch    908, Loss  0.870560, Average Loss  0.879330, Time  0.449019
2021-09-24 22:57:28.199558 : Epoch  1, Batch    542, Loss  0.899731, Average Loss  0.911997, Time  0.445845
2021-09-24 22:57:29.679927 : Epoch  1, Batch    909, Loss  0.874883, Average Loss  0.879332, Time  0.447475
2021-09-24 22:57:34.043527 : Epoch  1, Batch    543, Loss  0.915903, Average Loss  0.911860, Time  0.445433
2021-09-24 22:57:35.570322 : Epoch  1, Batch    910, Loss  0.885095, Average Loss  0.879331, Time  0.445722
2021-09-24 22:57:39.881080 : Epoch  1, Batch    544, Loss  0.901678, Average Loss  0.911711, Time  0.447052
2021-09-24 22:57:41.475851 : Epoch  1, Batch    911, Loss  0.874694, Average Loss  0.879297, Time  0.444695
2021-09-24 22:57:45.667782 : Epoch  1, Batch    545, Loss  0.896380, Average Loss  0.911509, Time  0.445589
2021-09-24 22:57:47.346254 : Epoch  1, Batch    912, Loss  0.871696, Average Loss  0.879207, Time  0.445622
2021-09-24 22:57:51.548358 : Epoch  1, Batch    546, Loss  0.917043, Average Loss  0.911484, Time  0.448696
2021-09-24 22:57:53.369155 : Epoch  1, Batch    913, Loss  0.869337, Average Loss  0.879107, Time  0.454834
2021-09-24 22:57:57.386811 : Epoch  1, Batch    547, Loss  0.898605, Average Loss  0.911234, Time  0.445581
2021-09-24 22:57:59.276721 : Epoch  1, Batch    914, Loss  0.888094, Average Loss  0.879151, Time  0.446547
2021-09-24 22:58:03.249336 : Epoch  1, Batch    548, Loss  0.892033, Average Loss  0.911110, Time  0.446455
2021-09-24 22:58:05.250067 : Epoch  1, Batch    915, Loss  0.863748, Average Loss  0.879109, Time  0.447319
2021-09-24 22:58:09.176212 : Epoch  1, Batch    549, Loss  0.900270, Average Loss  0.911019, Time  0.454936
2021-09-24 22:58:11.280516 : Epoch  1, Batch    916, Loss  0.878736, Average Loss  0.879085, Time  0.447513
2021-09-24 22:58:15.021291 : Epoch  1, Batch    550, Loss  0.881724, Average Loss  0.910758, Time  0.445273
2021-09-24 22:58:17.236464 : Epoch  1, Batch    917, Loss  0.881967, Average Loss  0.879145, Time  0.446290
2021-09-24 22:58:20.848396 : Epoch  1, Batch    551, Loss  0.885041, Average Loss  0.910616, Time  0.446499
2021-09-24 22:58:23.206926 : Epoch  1, Batch    918, Loss  0.862657, Average Loss  0.879092, Time  0.446209
2021-09-24 22:58:26.795437 : Epoch  1, Batch    552, Loss  0.889254, Average Loss  0.910431, Time  0.450815
2021-09-24 22:58:29.200231 : Epoch  1, Batch    919, Loss  0.870226, Average Loss  0.879018, Time  0.445116
2021-09-24 22:58:32.692115 : Epoch  1, Batch    553, Loss  0.895442, Average Loss  0.910329, Time  0.446441
2021-09-24 22:58:35.126627 : Epoch  1, Batch    920, Loss  0.869731, Average Loss  0.878951, Time  0.445202
2021-09-24 22:58:38.494089 : Epoch  1, Batch    554, Loss  0.894564, Average Loss  0.910136, Time  0.446889
2021-09-24 22:58:41.017042 : Epoch  1, Batch    921, Loss  0.876451, Average Loss  0.878916, Time  0.455386
2021-09-24 22:58:44.357960 : Epoch  1, Batch    555, Loss  0.912625, Average Loss  0.909976, Time  0.445156
2021-09-24 22:58:46.983984 : Epoch  1, Batch    922, Loss  0.867476, Average Loss  0.878842, Time  0.447295
2021-09-24 22:58:50.294756 : Epoch  1, Batch    556, Loss  0.877178, Average Loss  0.909690, Time  0.444932
2021-09-24 22:58:52.968463 : Epoch  1, Batch    923, Loss  0.883187, Average Loss  0.878897, Time  0.447386
2021-09-24 22:58:56.194846 : Epoch  1, Batch    557, Loss  0.903941, Average Loss  0.909549, Time  0.465991
2021-09-24 22:58:58.895912 : Epoch  1, Batch    924, Loss  0.870186, Average Loss  0.878894, Time  0.447209
2021-09-24 22:59:02.016974 : Epoch  1, Batch    558, Loss  0.901977, Average Loss  0.909352, Time  0.445693
2021-09-24 22:59:04.784883 : Epoch  1, Batch    925, Loss  0.894424, Average Loss  0.878966, Time  0.445707
2021-09-24 22:59:07.826875 : Epoch  1, Batch    559, Loss  0.880877, Average Loss  0.909084, Time  0.445837
2021-09-24 22:59:10.720668 : Epoch  1, Batch    926, Loss  0.876568, Average Loss  0.878886, Time  0.445921
2021-09-24 22:59:13.685924 : Epoch  1, Batch    560, Loss  0.896235, Average Loss  0.908934, Time  0.443781
2021-09-24 22:59:16.596808 : Epoch  1, Batch    927, Loss  0.875322, Average Loss  0.878883, Time  0.445791
2021-09-24 22:59:19.536684 : Epoch  1, Batch    561, Loss  0.887831, Average Loss  0.908754, Time  0.446532
2021-09-24 22:59:22.604493 : Epoch  1, Batch    928, Loss  0.885305, Average Loss  0.878862, Time  0.446233
2021-09-24 22:59:22.633160 : Saving Model after 1-th Epoch.
2021-09-24 22:59:23.267797 : Epoch Finished.
2021-09-24 22:59:25.387975 : Epoch  1, Batch    562, Loss  0.905341, Average Loss  0.908687, Time  0.448103
2021-09-24 22:59:31.249233 : Epoch  1, Batch    563, Loss  0.881466, Average Loss  0.908491, Time  0.448940
2021-09-24 22:59:31.283676 : Batch Shuffled
2021-09-24 22:59:37.088258 : Epoch  1, Batch    564, Loss  0.893776, Average Loss  0.908348, Time  0.446122
2021-09-24 22:59:37.243897 : Epoch  2, Batch      1, Loss  0.870961, Average Loss  0.878790, Time  0.460175
2021-09-24 22:59:42.967211 : Epoch  1, Batch    565, Loss  0.877433, Average Loss  0.908101, Time  0.457751
2021-09-24 22:59:43.213011 : Epoch  2, Batch      2, Loss  0.891953, Average Loss  0.878882, Time  0.445381
2021-09-24 22:59:48.828935 : Epoch  1, Batch    566, Loss  0.898152, Average Loss  0.907951, Time  0.446422
2021-09-24 22:59:49.188055 : Epoch  2, Batch      3, Loss  0.878881, Average Loss  0.878873, Time  0.446486
2021-09-24 22:59:54.677837 : Epoch  1, Batch    567, Loss  0.906597, Average Loss  0.907843, Time  0.444591
2021-09-24 22:59:55.146239 : Epoch  2, Batch      4, Loss  0.882969, Average Loss  0.878832, Time  0.444916
2021-09-24 23:00:00.487116 : Epoch  1, Batch    568, Loss  0.891632, Average Loss  0.907626, Time  0.444711
2021-09-24 23:00:01.091927 : Epoch  2, Batch      5, Loss  0.868747, Average Loss  0.878726, Time  0.446504
2021-09-24 23:00:06.423138 : Epoch  1, Batch    569, Loss  0.899199, Average Loss  0.907559, Time  0.445890
2021-09-24 23:00:07.199895 : Epoch  2, Batch      6, Loss  0.880890, Average Loss  0.878700, Time  0.448152
2021-09-24 23:00:12.255467 : Epoch  1, Batch    570, Loss  0.901606, Average Loss  0.907358, Time  0.446559
2021-09-24 23:00:13.259213 : Epoch  2, Batch      7, Loss  0.880678, Average Loss  0.878639, Time  0.458803
2021-09-24 23:00:18.219638 : Epoch  1, Batch    571, Loss  0.895164, Average Loss  0.907295, Time  0.447780
2021-09-24 23:00:19.286256 : Epoch  2, Batch      8, Loss  0.882553, Average Loss  0.878689, Time  0.446939
2021-09-24 23:00:24.071110 : Epoch  1, Batch    572, Loss  0.896095, Average Loss  0.907204, Time  0.453980
2021-09-24 23:00:25.280441 : Epoch  2, Batch      9, Loss  0.883086, Average Loss  0.878775, Time  0.448303
2021-09-24 23:00:29.978499 : Epoch  1, Batch    573, Loss  0.905508, Average Loss  0.907134, Time  0.461445
2021-09-24 23:00:31.297924 : Epoch  2, Batch     10, Loss  0.885321, Average Loss  0.878724, Time  0.444574
2021-09-24 23:00:35.867616 : Epoch  1, Batch    574, Loss  0.886416, Average Loss  0.906963, Time  0.447363
2021-09-24 23:00:37.271258 : Epoch  2, Batch     11, Loss  0.880127, Average Loss  0.878727, Time  0.446816
2021-09-24 23:00:41.761624 : Epoch  1, Batch    575, Loss  0.911687, Average Loss  0.906973, Time  0.445194
2021-09-24 23:00:43.299538 : Epoch  2, Batch     12, Loss  0.884666, Average Loss  0.878749, Time  0.448864
2021-09-24 23:00:47.626440 : Epoch  1, Batch    576, Loss  0.883212, Average Loss  0.906865, Time  0.448610
2021-09-24 23:00:49.262394 : Epoch  2, Batch     13, Loss  0.892054, Average Loss  0.878766, Time  0.444569
2021-09-24 23:00:53.474053 : Epoch  1, Batch    577, Loss  0.903501, Average Loss  0.906783, Time  0.446453
2021-09-24 23:00:55.272738 : Epoch  2, Batch     14, Loss  0.879792, Average Loss  0.878723, Time  0.462172
2021-09-24 23:00:59.371611 : Epoch  1, Batch    578, Loss  0.900825, Average Loss  0.906681, Time  0.446787
2021-09-24 23:01:01.218001 : Epoch  2, Batch     15, Loss  0.878898, Average Loss  0.878778, Time  0.444411
2021-09-24 23:01:05.185899 : Epoch  1, Batch    579, Loss  0.884601, Average Loss  0.906511, Time  0.443888
2021-09-24 23:01:07.145926 : Epoch  2, Batch     16, Loss  0.899507, Average Loss  0.878883, Time  0.445358
2021-09-24 23:01:10.985683 : Epoch  1, Batch    580, Loss  0.899195, Average Loss  0.906428, Time  0.445103
2021-09-24 23:01:13.099713 : Epoch  2, Batch     17, Loss  0.882481, Average Loss  0.878875, Time  0.443845
2021-09-24 23:01:16.842484 : Epoch  1, Batch    581, Loss  0.887526, Average Loss  0.906253, Time  0.458484
2021-09-24 23:01:19.114831 : Epoch  2, Batch     18, Loss  0.871330, Average Loss  0.878797, Time  0.450056
2021-09-24 23:01:22.787747 : Epoch  1, Batch    582, Loss  0.902136, Average Loss  0.906193, Time  0.445364
2021-09-24 23:01:25.107724 : Epoch  2, Batch     19, Loss  0.881836, Average Loss  0.878814, Time  0.445314
2021-09-24 23:01:28.574365 : Epoch  1, Batch    583, Loss  0.879465, Average Loss  0.905983, Time  0.445875
2021-09-24 23:01:31.022481 : Epoch  2, Batch     20, Loss  0.864125, Average Loss  0.878810, Time  0.447675
2021-09-24 23:01:34.365306 : Epoch  1, Batch    584, Loss  0.897532, Average Loss  0.905966, Time  0.444812
2021-09-24 23:01:36.959724 : Epoch  2, Batch     21, Loss  0.872364, Average Loss  0.878876, Time  0.446272
2021-09-24 23:01:40.146782 : Epoch  1, Batch    585, Loss  0.878235, Average Loss  0.905799, Time  0.444693
2021-09-24 23:01:42.869556 : Epoch  2, Batch     22, Loss  0.882135, Average Loss  0.878923, Time  0.455160
2021-09-24 23:01:45.959197 : Epoch  1, Batch    586, Loss  0.893420, Average Loss  0.905691, Time  0.446486
2021-09-24 23:01:48.810479 : Epoch  2, Batch     23, Loss  0.882091, Average Loss  0.878955, Time  0.447394
2021-09-24 23:01:51.757027 : Epoch  1, Batch    587, Loss  0.882376, Average Loss  0.905574, Time  0.445554
2021-09-24 23:01:54.744957 : Epoch  2, Batch     24, Loss  0.886331, Average Loss  0.879014, Time  0.446374
2021-09-24 23:01:57.599159 : Epoch  1, Batch    588, Loss  0.894566, Average Loss  0.905367, Time  0.445252
2021-09-24 23:02:00.682576 : Epoch  2, Batch     25, Loss  0.872652, Average Loss  0.878841, Time  0.444856
2021-09-24 23:02:03.437562 : Epoch  1, Batch    589, Loss  0.897346, Average Loss  0.905180, Time  0.457624
2021-09-24 23:02:06.771544 : Epoch  2, Batch     26, Loss  0.882853, Average Loss  0.878862, Time  0.477830
2021-09-24 23:02:09.381179 : Epoch  1, Batch    590, Loss  0.880852, Average Loss  0.905000, Time  0.447221
2021-09-24 23:02:12.880295 : Epoch  2, Batch     27, Loss  0.872846, Average Loss  0.878838, Time  0.450397
2021-09-24 23:02:15.323088 : Epoch  1, Batch    591, Loss  0.892362, Average Loss  0.904818, Time  0.445166
2021-09-24 23:02:18.896973 : Epoch  2, Batch     28, Loss  0.871432, Average Loss  0.878777, Time  0.446874
2021-09-24 23:02:21.203412 : Epoch  1, Batch    592, Loss  0.887195, Average Loss  0.904683, Time  0.444259
2021-09-24 23:02:24.886875 : Epoch  2, Batch     29, Loss  0.877363, Average Loss  0.878804, Time  0.447825
2021-09-24 23:02:27.032957 : Epoch  1, Batch    593, Loss  0.878259, Average Loss  0.904474, Time  0.446320
2021-09-24 23:02:30.870124 : Epoch  2, Batch     30, Loss  0.883055, Average Loss  0.878891, Time  0.461657
2021-09-24 23:02:32.830799 : Epoch  1, Batch    594, Loss  0.896829, Average Loss  0.904338, Time  0.444957
2021-09-24 23:02:36.849118 : Epoch  2, Batch     31, Loss  0.875283, Average Loss  0.878815, Time  0.446333
2021-09-24 23:02:38.748742 : Epoch  1, Batch    595, Loss  0.887070, Average Loss  0.904184, Time  0.446083
2021-09-24 23:02:42.876420 : Epoch  2, Batch     32, Loss  0.885174, Average Loss  0.878846, Time  0.446942
2021-09-24 23:02:44.613435 : Epoch  1, Batch    596, Loss  0.887127, Average Loss  0.903960, Time  0.445154
2021-09-24 23:02:48.948519 : Epoch  2, Batch     33, Loss  0.867925, Average Loss  0.878715, Time  0.445239
2021-09-24 23:02:50.580435 : Epoch  1, Batch    597, Loss  0.900597, Average Loss  0.903787, Time  0.457905
2021-09-24 23:02:54.905095 : Epoch  2, Batch     34, Loss  0.874252, Average Loss  0.878646, Time  0.445189
2021-09-24 23:02:56.386409 : Epoch  1, Batch    598, Loss  0.877823, Average Loss  0.903598, Time  0.444910
2021-09-24 23:03:00.890455 : Epoch  2, Batch     35, Loss  0.886000, Average Loss  0.878651, Time  0.447688
2021-09-24 23:03:02.270426 : Epoch  1, Batch    599, Loss  0.893708, Average Loss  0.903461, Time  0.446037
2021-09-24 23:03:06.969643 : Epoch  2, Batch     36, Loss  0.886113, Average Loss  0.878734, Time  0.446349
2021-09-24 23:03:08.205880 : Epoch  1, Batch    600, Loss  0.902888, Average Loss  0.903399, Time  0.444616
2021-09-24 23:03:13.062087 : Epoch  2, Batch     37, Loss  0.865765, Average Loss  0.878632, Time  0.451471
2021-09-24 23:03:19.165021 : Epoch  2, Batch     38, Loss  0.884411, Average Loss  0.878605, Time  0.463809
2021-09-24 23:03:25.135789 : Epoch  2, Batch     39, Loss  0.855223, Average Loss  0.878544, Time  0.444825
2021-09-24 23:03:31.136901 : Epoch  2, Batch     40, Loss  0.879576, Average Loss  0.878544, Time  0.447046
2021-09-24 23:03:37.137999 : Epoch  2, Batch     41, Loss  0.856879, Average Loss  0.878363, Time  0.448680
2021-09-24 23:03:43.247430 : Epoch  2, Batch     42, Loss  0.867377, Average Loss  0.878375, Time  0.444777
2021-09-24 23:03:49.174045 : Epoch  2, Batch     43, Loss  0.878497, Average Loss  0.878438, Time  0.445376
2021-09-24 23:03:55.101318 : Epoch  2, Batch     44, Loss  0.886585, Average Loss  0.878501, Time  0.446891
2021-09-24 23:04:01.142021 : Epoch  2, Batch     45, Loss  0.868792, Average Loss  0.878521, Time  0.444224
2021-09-24 23:04:07.060232 : Epoch  2, Batch     46, Loss  0.885004, Average Loss  0.878487, Time  0.453820
2021-09-24 23:04:13.053941 : Epoch  2, Batch     47, Loss  0.873032, Average Loss  0.878414, Time  0.446162
2021-09-24 23:04:18.991830 : Epoch  2, Batch     48, Loss  0.880760, Average Loss  0.878453, Time  0.444671
2021-09-24 23:04:24.926697 : Epoch  2, Batch     49, Loss  0.893874, Average Loss  0.878542, Time  0.447296
2021-09-24 23:04:30.991242 : Epoch  2, Batch     50, Loss  0.885179, Average Loss  0.878514, Time  0.446916
2021-09-24 23:04:36.999644 : Epoch  2, Batch     51, Loss  0.881020, Average Loss  0.878520, Time  0.444660
2021-09-24 23:04:43.023487 : Epoch  2, Batch     52, Loss  0.879616, Average Loss  0.878495, Time  0.447348
2021-09-24 23:04:49.048139 : Epoch  2, Batch     53, Loss  0.876082, Average Loss  0.878486, Time  0.446895
2021-09-24 23:04:55.078351 : Epoch  2, Batch     54, Loss  0.872240, Average Loss  0.878360, Time  0.463826
2021-09-24 23:05:01.075333 : Epoch  2, Batch     55, Loss  0.876564, Average Loss  0.878375, Time  0.450205
2021-09-24 23:05:07.129432 : Epoch  2, Batch     56, Loss  0.882822, Average Loss  0.878461, Time  0.447188
2021-09-24 23:05:13.149181 : Epoch  2, Batch     57, Loss  0.887051, Average Loss  0.878507, Time  0.445835
2021-09-24 23:05:19.150480 : Epoch  2, Batch     58, Loss  0.869616, Average Loss  0.878456, Time  0.446271
2021-09-24 23:05:25.177033 : Epoch  2, Batch     59, Loss  0.863346, Average Loss  0.878425, Time  0.446050
2021-09-24 23:05:31.222965 : Epoch  2, Batch     60, Loss  0.869883, Average Loss  0.878342, Time  0.445840
2021-09-24 23:05:37.164959 : Epoch  2, Batch     61, Loss  0.880469, Average Loss  0.878334, Time  0.451815
2021-09-24 23:05:43.065193 : Epoch  2, Batch     62, Loss  0.873949, Average Loss  0.878295, Time  0.445166
2021-09-24 23:05:49.020125 : Epoch  2, Batch     63, Loss  0.873360, Average Loss  0.878296, Time  0.446980
2021-09-24 23:05:55.055041 : Epoch  2, Batch     64, Loss  0.859819, Average Loss  0.878243, Time  0.445358
2021-09-24 23:06:01.048719 : Epoch  2, Batch     65, Loss  0.870154, Average Loss  0.878209, Time  0.446186
2021-09-24 23:06:07.070503 : Epoch  2, Batch     66, Loss  0.888835, Average Loss  0.878237, Time  0.446186
2021-09-24 23:06:12.998007 : Epoch  2, Batch     67, Loss  0.869730, Average Loss  0.878239, Time  0.447352
2021-09-24 23:06:18.954317 : Epoch  2, Batch     68, Loss  0.864107, Average Loss  0.878096, Time  0.444824
2021-09-24 23:06:24.888166 : Epoch  2, Batch     69, Loss  0.877901, Average Loss  0.878065, Time  0.457592
2021-09-24 23:06:30.814116 : Epoch  2, Batch     70, Loss  0.864964, Average Loss  0.877947, Time  0.444716
2021-09-24 23:06:36.726647 : Epoch  2, Batch     71, Loss  0.895380, Average Loss  0.878033, Time  0.445334
2021-09-24 23:06:50.705279 : Epoch  2, Batch     72, Loss  0.866971, Average Loss  0.877946, Time  0.445271
2021-09-24 23:07:49.634062 : CheckPoint: Validation Loss  0.00015232, Best Loss  0.00015232
2021-09-24 23:07:49.662039 : Best Model Updated
2021-09-24 23:07:56.137561 : Epoch  1, Batch    601, Loss  0.898868, Average Loss  0.903295, Time  0.446340
2021-09-24 23:08:02.062319 : Epoch  1, Batch    602, Loss  0.891457, Average Loss  0.903182, Time  0.444412
2021-09-24 23:08:08.075161 : Epoch  1, Batch    603, Loss  0.890793, Average Loss  0.903134, Time  0.457303
2021-09-24 23:08:14.119807 : Epoch  1, Batch    604, Loss  0.898037, Average Loss  0.902976, Time  0.445939
2021-09-24 23:08:20.148083 : Epoch  1, Batch    605, Loss  0.885191, Average Loss  0.902832, Time  0.444780
2021-09-24 23:08:26.164505 : Epoch  1, Batch    606, Loss  0.889032, Average Loss  0.902681, Time  0.444901
2021-09-24 23:08:32.184000 : Epoch  1, Batch    607, Loss  0.855965, Average Loss  0.902307, Time  0.446360
2021-09-24 23:08:38.056473 : Epoch  1, Batch    608, Loss  0.894651, Average Loss  0.902207, Time  0.444101
2021-09-24 23:08:43.784830 : Epoch  1, Batch    609, Loss  0.871948, Average Loss  0.901873, Time  0.444695
2021-09-24 23:08:49.452407 : Epoch  1, Batch    610, Loss  0.879292, Average Loss  0.901686, Time  0.444024
2021-09-24 23:08:55.194565 : Epoch  1, Batch    611, Loss  0.876099, Average Loss  0.901533, Time  0.455907
2021-09-24 23:09:00.945131 : Epoch  1, Batch    612, Loss  0.892243, Average Loss  0.901395, Time  0.445786
2021-09-24 23:09:06.694202 : Epoch  1, Batch    613, Loss  0.882307, Average Loss  0.901183, Time  0.444061
2021-09-24 23:09:12.422304 : Epoch  1, Batch    614, Loss  0.890352, Average Loss  0.901075, Time  0.443707
2021-09-24 23:09:18.149186 : Epoch  1, Batch    615, Loss  0.897055, Average Loss  0.901033, Time  0.445504
2021-09-24 23:09:23.942405 : Epoch  1, Batch    616, Loss  0.884470, Average Loss  0.900867, Time  0.442916
2021-09-24 23:09:29.666026 : Epoch  1, Batch    617, Loss  0.898911, Average Loss  0.900772, Time  0.446558
2021-09-24 23:09:35.392852 : Epoch  1, Batch    618, Loss  0.886128, Average Loss  0.900557, Time  0.444049
2021-09-24 23:09:41.155992 : Epoch  1, Batch    619, Loss  0.905973, Average Loss  0.900394, Time  0.456854
2021-09-24 23:09:46.913131 : Epoch  1, Batch    620, Loss  0.897875, Average Loss  0.900211, Time  0.448609
2021-09-24 23:09:52.738910 : Epoch  1, Batch    621, Loss  0.896259, Average Loss  0.900158, Time  0.445651
2021-09-24 23:09:58.756893 : Epoch  1, Batch    622, Loss  0.898026, Average Loss  0.900030, Time  0.446270
2021-09-24 23:10:04.795646 : Epoch  1, Batch    623, Loss  0.901152, Average Loss  0.899922, Time  0.452392
2021-09-24 23:10:10.846936 : Epoch  1, Batch    624, Loss  0.902234, Average Loss  0.899871, Time  0.445389
2021-09-24 23:10:16.872794 : Epoch  1, Batch    625, Loss  0.887361, Average Loss  0.899755, Time  0.447413
2021-09-24 23:10:22.927653 : Epoch  1, Batch    626, Loss  0.893539, Average Loss  0.899606, Time  0.458054
2021-09-24 23:10:28.961895 : Epoch  1, Batch    627, Loss  0.899479, Average Loss  0.899543, Time  0.448419
2021-09-24 23:10:35.000537 : Epoch  1, Batch    628, Loss  0.879679, Average Loss  0.899412, Time  0.448124
2021-09-24 23:10:41.025985 : Epoch  1, Batch    629, Loss  0.882875, Average Loss  0.899326, Time  0.447179
2021-09-24 23:10:47.067945 : Epoch  1, Batch    630, Loss  0.880694, Average Loss  0.899269, Time  0.447406
2021-09-24 23:10:53.121407 : Epoch  1, Batch    631, Loss  0.892532, Average Loss  0.899119, Time  0.448182
2021-09-24 23:10:59.168027 : Epoch  1, Batch    632, Loss  0.912259, Average Loss  0.899071, Time  0.452831
2021-09-24 23:11:05.198546 : Epoch  1, Batch    633, Loss  0.886569, Average Loss  0.898973, Time  0.445504
2021-09-24 23:11:11.259587 : Epoch  1, Batch    634, Loss  0.894747, Average Loss  0.898806, Time  0.467720
2021-09-24 23:11:17.331982 : Epoch  1, Batch    635, Loss  0.889645, Average Loss  0.898699, Time  0.446857
2021-09-24 23:11:23.362834 : Epoch  1, Batch    636, Loss  0.884638, Average Loss  0.898586, Time  0.447622
2021-09-24 23:11:29.443694 : Epoch  1, Batch    637, Loss  0.884039, Average Loss  0.898446, Time  0.449101
2021-09-24 23:11:35.489797 : Epoch  1, Batch    638, Loss  0.904840, Average Loss  0.898434, Time  0.446718
2021-09-24 23:11:36.601820 : CheckPoint: Validation Loss  0.00015185, Best Loss  0.00014886
2021-09-24 23:11:41.515857 : Epoch  1, Batch    639, Loss  0.895676, Average Loss  0.898390, Time  0.447107
2021-09-24 23:11:42.804617 : Epoch  2, Batch     73, Loss  0.882918, Average Loss  0.877949, Time  0.449751
2021-09-24 23:11:47.557156 : Epoch  1, Batch    640, Loss  0.885752, Average Loss  0.898251, Time  0.447089
2021-09-24 23:11:48.981261 : Epoch  2, Batch     74, Loss  0.876004, Average Loss  0.877895, Time  0.461553
2021-09-24 23:11:53.613832 : Epoch  1, Batch    641, Loss  0.884474, Average Loss  0.898096, Time  0.461732
2021-09-24 23:11:55.156307 : Epoch  2, Batch     75, Loss  0.874041, Average Loss  0.877868, Time  0.454413
2021-09-24 23:11:59.681241 : Epoch  1, Batch    642, Loss  0.890594, Average Loss  0.898055, Time  0.449115
2021-09-24 23:12:01.326005 : Epoch  2, Batch     76, Loss  0.873475, Average Loss  0.877882, Time  0.446666
2021-09-24 23:12:05.704777 : Epoch  1, Batch    643, Loss  0.889497, Average Loss  0.897994, Time  0.445718
2021-09-24 23:12:07.503279 : Epoch  2, Batch     77, Loss  0.864227, Average Loss  0.877803, Time  0.445639
2021-09-24 23:12:11.744716 : Epoch  1, Batch    644, Loss  0.898941, Average Loss  0.897974, Time  0.445169
2021-09-24 23:12:13.658558 : Epoch  2, Batch     78, Loss  0.866689, Average Loss  0.877684, Time  0.447393
2021-09-24 23:12:17.791116 : Epoch  1, Batch    645, Loss  0.886624, Average Loss  0.897911, Time  0.446036
2021-09-24 23:12:19.857159 : Epoch  2, Batch     79, Loss  0.867712, Average Loss  0.877619, Time  0.446740
2021-09-24 23:12:23.818215 : Epoch  1, Batch    646, Loss  0.887987, Average Loss  0.897843, Time  0.448849
2021-09-24 23:12:26.032441 : Epoch  2, Batch     80, Loss  0.874523, Average Loss  0.877558, Time  0.450105
2021-09-24 23:12:29.844305 : Epoch  1, Batch    647, Loss  0.915469, Average Loss  0.897833, Time  0.445771
2021-09-24 23:12:32.210685 : Epoch  2, Batch     81, Loss  0.878903, Average Loss  0.877637, Time  0.464265
2021-09-24 23:12:35.878345 : Epoch  1, Batch    648, Loss  0.885151, Average Loss  0.897716, Time  0.451049
2021-09-24 23:12:38.372837 : Epoch  2, Batch     82, Loss  0.876506, Average Loss  0.877594, Time  0.448488
2021-09-24 23:12:41.934741 : Epoch  1, Batch    649, Loss  0.894721, Average Loss  0.897632, Time  0.462460
2021-09-24 23:12:44.530424 : Epoch  2, Batch     83, Loss  0.870238, Average Loss  0.877529, Time  0.447074
2021-09-24 23:12:47.969008 : Epoch  1, Batch    650, Loss  0.890237, Average Loss  0.897392, Time  0.445869
2021-09-24 23:12:50.699426 : Epoch  2, Batch     84, Loss  0.886520, Average Loss  0.877601, Time  0.452981
2021-09-24 23:12:54.007441 : Epoch  1, Batch    651, Loss  0.892500, Average Loss  0.897287, Time  0.447153
2021-09-24 23:12:56.854266 : Epoch  2, Batch     85, Loss  0.876265, Average Loss  0.877582, Time  0.446390
2021-09-24 23:13:00.056491 : Epoch  1, Batch    652, Loss  0.882603, Average Loss  0.897236, Time  0.446568
2021-09-24 23:13:03.027187 : Epoch  2, Batch     86, Loss  0.866133, Average Loss  0.877568, Time  0.448497
2021-09-24 23:13:06.091337 : Epoch  1, Batch    653, Loss  0.889085, Average Loss  0.897129, Time  0.445820
2021-09-24 23:13:09.187884 : Epoch  2, Batch     87, Loss  0.887082, Average Loss  0.877631, Time  0.449353
2021-09-24 23:13:12.101057 : Epoch  1, Batch    654, Loss  0.886716, Average Loss  0.896968, Time  0.448449
2021-09-24 23:13:15.344886 : Epoch  2, Batch     88, Loss  0.874733, Average Loss  0.877652, Time  0.447601
2021-09-24 23:13:18.142783 : Epoch  1, Batch    655, Loss  0.882889, Average Loss  0.896867, Time  0.445642
2021-09-24 23:13:21.542522 : Epoch  2, Batch     89, Loss  0.882673, Average Loss  0.877815, Time  0.464145
2021-09-24 23:13:24.180719 : Epoch  1, Batch    656, Loss  0.883511, Average Loss  0.896730, Time  0.459052
2021-09-24 23:13:27.696113 : Epoch  2, Batch     90, Loss  0.863310, Average Loss  0.877741, Time  0.446546
2021-09-24 23:13:30.221681 : Epoch  1, Batch    657, Loss  0.885567, Average Loss  0.896584, Time  0.451757
2021-09-24 23:13:33.864946 : Epoch  2, Batch     91, Loss  0.880732, Average Loss  0.877697, Time  0.448221
2021-09-24 23:13:36.263180 : Epoch  1, Batch    658, Loss  0.906938, Average Loss  0.896588, Time  0.446112
2021-09-24 23:13:40.042655 : Epoch  2, Batch     92, Loss  0.883039, Average Loss  0.877750, Time  0.445891
2021-09-24 23:13:42.293361 : Epoch  1, Batch    659, Loss  0.883699, Average Loss  0.896398, Time  0.446137
2021-09-24 23:13:46.218411 : Epoch  2, Batch     93, Loss  0.880814, Average Loss  0.877742, Time  0.449377
2021-09-24 23:13:48.331872 : Epoch  1, Batch    660, Loss  0.902639, Average Loss  0.896406, Time  0.449503
2021-09-24 23:13:52.389811 : Epoch  2, Batch     94, Loss  0.882454, Average Loss  0.877707, Time  0.449120
2021-09-24 23:13:54.375820 : Epoch  1, Batch    661, Loss  0.896267, Average Loss  0.896390, Time  0.450912
2021-09-24 23:13:58.561768 : Epoch  2, Batch     95, Loss  0.881870, Average Loss  0.877703, Time  0.448768
2021-09-24 23:14:00.424014 : Epoch  1, Batch    662, Loss  0.878890, Average Loss  0.896255, Time  0.445173
2021-09-24 23:14:04.754475 : Epoch  2, Batch     96, Loss  0.875423, Average Loss  0.877718, Time  0.457043
2021-09-24 23:14:06.467599 : Epoch  1, Batch    663, Loss  0.894435, Average Loss  0.896164, Time  0.445743
2021-09-24 23:14:10.950278 : Epoch  2, Batch     97, Loss  0.873052, Average Loss  0.877625, Time  0.457145
2021-09-24 23:14:12.508332 : Epoch  1, Batch    664, Loss  0.889561, Average Loss  0.896096, Time  0.461730
2021-09-24 23:14:17.117053 : Epoch  2, Batch     98, Loss  0.876341, Average Loss  0.877555, Time  0.448920
2021-09-24 23:14:18.557210 : Epoch  1, Batch    665, Loss  0.887582, Average Loss  0.896062, Time  0.449537
2021-09-24 23:14:23.303221 : Epoch  2, Batch     99, Loss  0.877438, Average Loss  0.877542, Time  0.450518
2021-09-24 23:14:24.620821 : Epoch  1, Batch    666, Loss  0.874182, Average Loss  0.895870, Time  0.445289
2021-09-24 23:14:29.469801 : Epoch  2, Batch    100, Loss  0.874046, Average Loss  0.877489, Time  0.446878
2021-09-24 23:14:30.673859 : Epoch  1, Batch    667, Loss  0.890118, Average Loss  0.895874, Time  0.452669
2021-09-24 23:14:35.627792 : Epoch  2, Batch    101, Loss  0.869806, Average Loss  0.877474, Time  0.447151
2021-09-24 23:14:36.712475 : Epoch  1, Batch    668, Loss  0.888188, Average Loss  0.895765, Time  0.452341
2021-09-24 23:14:41.816816 : Epoch  2, Batch    102, Loss  0.861396, Average Loss  0.877366, Time  0.449143
2021-09-24 23:14:42.759326 : Epoch  1, Batch    669, Loss  0.871354, Average Loss  0.895599, Time  0.449397
2021-09-24 23:14:47.990004 : Epoch  2, Batch    103, Loss  0.869381, Average Loss  0.877276, Time  0.454529
2021-09-24 23:14:48.817976 : Epoch  1, Batch    670, Loss  0.891760, Average Loss  0.895440, Time  0.457665
2021-09-24 23:14:54.195030 : Epoch  2, Batch    104, Loss  0.874927, Average Loss  0.877296, Time  0.457210
2021-09-24 23:14:54.879066 : Epoch  1, Batch    671, Loss  0.883935, Average Loss  0.895285, Time  0.454840
2021-09-24 23:15:00.379423 : Epoch  2, Batch    105, Loss  0.879329, Average Loss  0.877271, Time  0.446439
2021-09-24 23:15:00.905316 : Epoch  1, Batch    672, Loss  0.898798, Average Loss  0.895180, Time  0.448363
2021-09-24 23:15:06.579996 : Epoch  2, Batch    106, Loss  0.884641, Average Loss  0.877309, Time  0.450796
2021-09-24 23:15:06.945961 : Epoch  1, Batch    673, Loss  0.889826, Average Loss  0.895072, Time  0.449436
2021-09-24 23:15:12.751868 : Epoch  2, Batch    107, Loss  0.871552, Average Loss  0.877247, Time  0.446218
2021-09-24 23:15:12.976838 : Epoch  1, Batch    674, Loss  0.887955, Average Loss  0.895026, Time  0.445975
2021-09-24 23:15:18.933934 : Epoch  2, Batch    108, Loss  0.881536, Average Loss  0.877253, Time  0.447259
2021-09-24 23:15:19.009625 : Epoch  1, Batch    675, Loss  0.912825, Average Loss  0.895016, Time  0.445230
2021-09-24 23:15:25.041044 : Epoch  1, Batch    676, Loss  0.880744, Average Loss  0.894819, Time  0.447514
2021-09-24 23:15:25.110007 : Epoch  2, Batch    109, Loss  0.866204, Average Loss  0.877191, Time  0.449372
2021-09-24 23:15:31.087408 : Epoch  1, Batch    677, Loss  0.908694, Average Loss  0.894936, Time  0.446484
2021-09-24 23:15:31.286416 : Epoch  2, Batch    110, Loss  0.880756, Average Loss  0.877235, Time  0.447817
2021-09-24 23:15:37.108516 : Epoch  1, Batch    678, Loss  0.892425, Average Loss  0.894945, Time  0.445232
2021-09-24 23:15:37.463050 : Epoch  2, Batch    111, Loss  0.864757, Average Loss  0.877138, Time  0.459109
2021-09-24 23:15:43.161780 : Epoch  1, Batch    679, Loss  0.887339, Average Loss  0.894878, Time  0.457398
2021-09-24 23:15:43.605354 : Epoch  2, Batch    112, Loss  0.858781, Average Loss  0.877020, Time  0.446429
2021-09-24 23:15:49.207729 : Epoch  1, Batch    680, Loss  0.890233, Average Loss  0.894788, Time  0.449797
2021-09-24 23:15:49.737491 : Epoch  2, Batch    113, Loss  0.876576, Average Loss  0.877021, Time  0.445695
2021-09-24 23:15:55.262282 : Epoch  1, Batch    681, Loss  0.886543, Average Loss  0.894736, Time  0.451245
2021-09-24 23:15:55.899362 : Epoch  2, Batch    114, Loss  0.889678, Average Loss  0.876999, Time  0.450173
2021-09-24 23:16:01.300484 : Epoch  1, Batch    682, Loss  0.893808, Average Loss  0.894698, Time  0.445787
2021-09-24 23:16:02.088864 : Epoch  2, Batch    115, Loss  0.898535, Average Loss  0.877090, Time  0.453789
2021-09-24 23:16:07.343822 : Epoch  1, Batch    683, Loss  0.899587, Average Loss  0.894632, Time  0.446488
2021-09-24 23:16:08.276607 : Epoch  2, Batch    116, Loss  0.875062, Average Loss  0.877116, Time  0.450799
2021-09-24 23:16:13.403856 : Epoch  1, Batch    684, Loss  0.891950, Average Loss  0.894600, Time  0.450593
2021-09-24 23:16:14.446611 : Epoch  2, Batch    117, Loss  0.881774, Average Loss  0.877063, Time  0.447474
2021-09-24 23:16:19.461250 : Epoch  1, Batch    685, Loss  0.901588, Average Loss  0.894573, Time  0.446454
2021-09-24 23:16:20.602414 : Epoch  2, Batch    118, Loss  0.864040, Average Loss  0.877060, Time  0.446456
2021-09-24 23:16:25.506361 : Epoch  1, Batch    686, Loss  0.883274, Average Loss  0.894421, Time  0.462476
2021-09-24 23:16:26.766666 : Epoch  2, Batch    119, Loss  0.873211, Average Loss  0.877042, Time  0.455897
2021-09-24 23:16:31.529159 : Epoch  1, Batch    687, Loss  0.877733, Average Loss  0.894276, Time  0.445706
2021-09-24 23:16:32.923675 : Epoch  2, Batch    120, Loss  0.873429, Average Loss  0.876967, Time  0.446580
2021-09-24 23:16:37.565921 : Epoch  1, Batch    688, Loss  0.877756, Average Loss  0.894051, Time  0.450624
2021-09-24 23:16:39.076384 : Epoch  2, Batch    121, Loss  0.887112, Average Loss  0.876981, Time  0.446198
2021-09-24 23:16:43.602458 : Epoch  1, Batch    689, Loss  0.881704, Average Loss  0.893906, Time  0.447072
2021-09-24 23:16:45.267752 : Epoch  2, Batch    122, Loss  0.873122, Average Loss  0.876965, Time  0.445797
2021-09-24 23:16:49.656050 : Epoch  1, Batch    690, Loss  0.893181, Average Loss  0.893874, Time  0.448155
2021-09-24 23:16:51.443394 : Epoch  2, Batch    123, Loss  0.863002, Average Loss  0.876874, Time  0.446964
2021-09-24 23:16:55.689669 : Epoch  1, Batch    691, Loss  0.868773, Average Loss  0.893668, Time  0.446862
2021-09-24 23:16:57.605899 : Epoch  2, Batch    124, Loss  0.880882, Average Loss  0.876942, Time  0.445836
2021-09-24 23:17:01.715710 : Epoch  1, Batch    692, Loss  0.883789, Average Loss  0.893529, Time  0.445831
2021-09-24 23:17:03.777719 : Epoch  2, Batch    125, Loss  0.872237, Average Loss  0.876916, Time  0.457480
2021-09-24 23:17:07.735775 : Epoch  1, Batch    693, Loss  0.882079, Average Loss  0.893360, Time  0.445154
2021-09-24 23:17:09.955277 : Epoch  2, Batch    126, Loss  0.874391, Average Loss  0.876873, Time  0.461649
2021-09-24 23:17:13.775194 : Epoch  1, Batch    694, Loss  0.899404, Average Loss  0.893322, Time  0.451571
2021-09-24 23:17:16.119402 : Epoch  2, Batch    127, Loss  0.885179, Average Loss  0.876879, Time  0.445945
2021-09-24 23:17:19.807109 : Epoch  1, Batch    695, Loss  0.887092, Average Loss  0.893284, Time  0.445096
2021-09-24 23:17:22.289602 : Epoch  2, Batch    128, Loss  0.868254, Average Loss  0.876886, Time  0.449129
2021-09-24 23:17:25.852867 : Epoch  1, Batch    696, Loss  0.885034, Average Loss  0.893195, Time  0.448085
2021-09-24 23:17:28.465648 : Epoch  2, Batch    129, Loss  0.876937, Average Loss  0.876820, Time  0.449527
2021-09-24 23:17:31.893464 : Epoch  1, Batch    697, Loss  0.890955, Average Loss  0.893152, Time  0.445637
2021-09-24 23:17:34.669079 : Epoch  2, Batch    130, Loss  0.874802, Average Loss  0.876781, Time  0.448808
2021-09-24 23:17:37.918010 : Epoch  1, Batch    698, Loss  0.894829, Average Loss  0.893040, Time  0.446010
2021-09-24 23:17:40.834964 : Epoch  2, Batch    131, Loss  0.875775, Average Loss  0.876751, Time  0.447333
2021-09-24 23:17:43.953987 : Epoch  1, Batch    699, Loss  0.890344, Average Loss  0.893054, Time  0.445240
2021-09-24 23:17:47.019256 : Epoch  2, Batch    132, Loss  0.878439, Average Loss  0.876729, Time  0.457716
2021-09-24 23:17:49.983857 : Epoch  1, Batch    700, Loss  0.886485, Average Loss  0.892958, Time  0.447471
2021-09-24 23:17:53.198950 : Epoch  2, Batch    133, Loss  0.885993, Average Loss  0.876728, Time  0.447646
2021-09-24 23:17:59.414549 : Epoch  2, Batch    134, Loss  0.871514, Average Loss  0.876661, Time  0.462255
2021-09-24 23:18:05.583615 : Epoch  2, Batch    135, Loss  0.871961, Average Loss  0.876614, Time  0.446656
2021-09-24 23:18:11.761025 : Epoch  2, Batch    136, Loss  0.875297, Average Loss  0.876581, Time  0.446908
2021-09-24 23:18:17.927497 : Epoch  2, Batch    137, Loss  0.872885, Average Loss  0.876584, Time  0.446131
2021-09-24 23:18:24.095763 : Epoch  2, Batch    138, Loss  0.881003, Average Loss  0.876626, Time  0.447809
2021-09-24 23:18:30.248830 : Epoch  2, Batch    139, Loss  0.887059, Average Loss  0.876644, Time  0.446622
2021-09-24 23:18:36.396760 : Epoch  2, Batch    140, Loss  0.874657, Average Loss  0.876653, Time  0.450142
2021-09-24 23:18:42.582765 : Epoch  2, Batch    141, Loss  0.871662, Average Loss  0.876605, Time  0.468390
2021-09-24 23:18:48.749231 : Epoch  2, Batch    142, Loss  0.872201, Average Loss  0.876569, Time  0.448081
2021-09-24 23:18:54.931023 : Epoch  2, Batch    143, Loss  0.881297, Average Loss  0.876581, Time  0.449704
2021-09-24 23:19:01.100847 : Epoch  2, Batch    144, Loss  0.879122, Average Loss  0.876603, Time  0.447334
2021-09-24 23:19:07.279384 : Epoch  2, Batch    145, Loss  0.882382, Average Loss  0.876650, Time  0.448526
2021-09-24 23:19:13.471727 : Epoch  2, Batch    146, Loss  0.881692, Average Loss  0.876684, Time  0.449492
2021-09-24 23:19:19.639520 : Epoch  2, Batch    147, Loss  0.881000, Average Loss  0.876721, Time  0.449467
2021-09-24 23:19:25.831393 : Epoch  2, Batch    148, Loss  0.876180, Average Loss  0.876626, Time  0.460160
2021-09-24 23:19:32.053493 : Epoch  2, Batch    149, Loss  0.877842, Average Loss  0.876575, Time  0.460454
2021-09-24 23:19:38.218937 : Epoch  2, Batch    150, Loss  0.886520, Average Loss  0.876596, Time  0.447061
2021-09-24 23:19:44.380306 : Epoch  2, Batch    151, Loss  0.867280, Average Loss  0.876523, Time  0.449729
2021-09-24 23:19:50.565246 : Epoch  2, Batch    152, Loss  0.856924, Average Loss  0.876430, Time  0.447508
2021-09-24 23:19:56.732155 : Epoch  2, Batch    153, Loss  0.862950, Average Loss  0.876399, Time  0.448697
2021-09-24 23:20:02.906200 : Epoch  2, Batch    154, Loss  0.900687, Average Loss  0.876473, Time  0.448670
2021-09-24 23:20:09.077131 : Epoch  2, Batch    155, Loss  0.879003, Average Loss  0.876497, Time  0.449995
2021-09-24 23:20:15.244472 : Epoch  2, Batch    156, Loss  0.890823, Average Loss  0.876635, Time  0.454138
2021-09-24 23:20:21.399408 : Epoch  2, Batch    157, Loss  0.880315, Average Loss  0.876654, Time  0.445617
2021-09-24 23:20:27.571046 : Epoch  2, Batch    158, Loss  0.869523, Average Loss  0.876594, Time  0.448173
2021-09-24 23:20:33.726201 : Epoch  2, Batch    159, Loss  0.879218, Average Loss  0.876610, Time  0.449369
2021-09-24 23:20:39.903883 : Epoch  2, Batch    160, Loss  0.862226, Average Loss  0.876541, Time  0.450876
2021-09-24 23:20:46.073059 : Epoch  2, Batch    161, Loss  0.877586, Average Loss  0.876557, Time  0.450935
2021-09-24 23:20:52.240830 : Epoch  2, Batch    162, Loss  0.878942, Average Loss  0.876524, Time  0.446786
2021-09-24 23:20:58.400344 : Epoch  2, Batch    163, Loss  0.869290, Average Loss  0.876491, Time  0.446738
2021-09-24 23:21:04.575485 : Epoch  2, Batch    164, Loss  0.874174, Average Loss  0.876467, Time  0.461349
2021-09-24 23:21:10.733848 : Epoch  2, Batch    165, Loss  0.876704, Average Loss  0.876531, Time  0.445988
2021-09-24 23:21:16.905803 : Epoch  2, Batch    166, Loss  0.881662, Average Loss  0.876626, Time  0.445772
2021-09-24 23:21:23.060233 : Epoch  2, Batch    167, Loss  0.871362, Average Loss  0.876618, Time  0.447437
2021-09-24 23:21:29.231440 : Epoch  2, Batch    168, Loss  0.862211, Average Loss  0.876485, Time  0.446155
2021-09-24 23:21:35.396791 : Epoch  2, Batch    169, Loss  0.847696, Average Loss  0.876367, Time  0.447409
2021-09-24 23:21:41.589199 : Epoch  2, Batch    170, Loss  0.879138, Average Loss  0.876358, Time  0.450289
2021-09-24 23:21:47.760799 : Epoch  2, Batch    171, Loss  0.869672, Average Loss  0.876200, Time  0.459710
2021-09-24 23:21:53.935567 : Epoch  2, Batch    172, Loss  0.890691, Average Loss  0.876225, Time  0.448404
2021-09-24 23:22:39.471906 : CheckPoint: Validation Loss  0.00015208, Best Loss  0.00015208
2021-09-24 23:22:39.504726 : Best Model Updated
2021-09-24 23:22:46.145694 : Epoch  1, Batch    701, Loss  0.889675, Average Loss  0.892987, Time  0.447622
2021-09-24 23:22:52.208238 : Epoch  1, Batch    702, Loss  0.891141, Average Loss  0.892979, Time  0.448895
2021-09-24 23:22:58.232857 : Epoch  1, Batch    703, Loss  0.888583, Average Loss  0.892901, Time  0.445162
2021-09-24 23:23:04.258436 : Epoch  1, Batch    704, Loss  0.886198, Average Loss  0.892770, Time  0.446687
2021-09-24 23:23:10.310846 : Epoch  1, Batch    705, Loss  0.885051, Average Loss  0.892625, Time  0.446369
2021-09-24 23:23:16.360840 : Epoch  1, Batch    706, Loss  0.872788, Average Loss  0.892502, Time  0.451996
2021-09-24 23:23:22.404139 : Epoch  1, Batch    707, Loss  0.899176, Average Loss  0.892515, Time  0.458871
2021-09-24 23:23:28.447390 : Epoch  1, Batch    708, Loss  0.887427, Average Loss  0.892455, Time  0.448101
2021-09-24 23:23:34.488249 : Epoch  1, Batch    709, Loss  0.881884, Average Loss  0.892320, Time  0.454507
2021-09-24 23:23:40.569428 : Epoch  1, Batch    710, Loss  0.892741, Average Loss  0.892322, Time  0.450056
2021-09-24 23:23:46.635432 : Epoch  1, Batch    711, Loss  0.896319, Average Loss  0.892384, Time  0.447067
2021-09-24 23:23:52.678478 : Epoch  1, Batch    712, Loss  0.878695, Average Loss  0.892319, Time  0.450514
2021-09-24 23:23:58.711845 : Epoch  1, Batch    713, Loss  0.890601, Average Loss  0.892348, Time  0.444877
2021-09-24 23:24:04.771332 : Epoch  1, Batch    714, Loss  0.868468, Average Loss  0.892128, Time  0.460928
2021-09-24 23:24:10.812199 : Epoch  1, Batch    715, Loss  0.891087, Average Loss  0.892062, Time  0.447551
2021-09-24 23:24:16.865229 : Epoch  1, Batch    716, Loss  0.888861, Average Loss  0.892056, Time  0.447639
2021-09-24 23:24:22.909979 : Epoch  1, Batch    717, Loss  0.890230, Average Loss  0.891991, Time  0.447925
2021-09-24 23:24:28.961003 : Epoch  1, Batch    718, Loss  0.879336, Average Loss  0.891902, Time  0.445804
2021-09-24 23:24:35.000902 : Epoch  1, Batch    719, Loss  0.888118, Average Loss  0.891862, Time  0.446097
2021-09-24 23:24:41.121917 : Epoch  1, Batch    720, Loss  0.886582, Average Loss  0.891793, Time  0.454151
2021-09-24 23:24:47.188722 : Epoch  1, Batch    721, Loss  0.892044, Average Loss  0.891736, Time  0.449259
2021-09-24 23:24:53.269001 : Epoch  1, Batch    722, Loss  0.890585, Average Loss  0.891704, Time  0.459909
2021-09-24 23:24:59.366617 : Epoch  1, Batch    723, Loss  0.896677, Average Loss  0.891675, Time  0.450432
2021-09-24 23:25:05.445198 : Epoch  1, Batch    724, Loss  0.875440, Average Loss  0.891610, Time  0.457999
2021-09-24 23:25:11.500858 : Epoch  1, Batch    725, Loss  0.881968, Average Loss  0.891553, Time  0.447127
2021-09-24 23:25:17.574805 : Epoch  1, Batch    726, Loss  0.888512, Average Loss  0.891454, Time  0.445812
2021-09-24 23:25:23.624900 : Epoch  1, Batch    727, Loss  0.890154, Average Loss  0.891427, Time  0.445062
2021-09-24 23:25:29.704028 : Epoch  1, Batch    728, Loss  0.893034, Average Loss  0.891366, Time  0.447834
2021-09-24 23:25:35.775878 : Epoch  1, Batch    729, Loss  0.883934, Average Loss  0.891332, Time  0.452983
2021-09-24 23:25:41.852988 : Epoch  1, Batch    730, Loss  0.903967, Average Loss  0.891378, Time  0.446834
2021-09-24 23:25:47.910500 : Epoch  1, Batch    731, Loss  0.900913, Average Loss  0.891428, Time  0.447290
2021-09-24 23:25:53.964029 : Epoch  1, Batch    732, Loss  0.901406, Average Loss  0.891361, Time  0.447045
2021-09-24 23:26:00.027970 : Epoch  1, Batch    733, Loss  0.890247, Average Loss  0.891229, Time  0.446510
2021-09-24 23:26:06.089010 : Epoch  1, Batch    734, Loss  0.871389, Average Loss  0.891053, Time  0.446208
2021-09-24 23:26:12.120357 : Epoch  1, Batch    735, Loss  0.892170, Average Loss  0.891113, Time  0.445275
2021-09-24 23:26:18.183827 : Epoch  1, Batch    736, Loss  0.888126, Average Loss  0.891126, Time  0.446486
2021-09-24 23:26:24.240637 : Epoch  1, Batch    737, Loss  0.872251, Average Loss  0.890890, Time  0.451726
2021-09-24 23:26:30.291792 : Epoch  1, Batch    738, Loss  0.881808, Average Loss  0.890777, Time  0.447326
2021-09-24 23:26:36.333342 : Epoch  1, Batch    739, Loss  0.875048, Average Loss  0.890682, Time  0.447738
2021-09-24 23:26:42.383407 : Epoch  1, Batch    740, Loss  0.896408, Average Loss  0.890656, Time  0.450497
2021-09-24 23:26:44.453411 : CheckPoint: Validation Loss  0.00015221, Best Loss  0.00014886
2021-09-24 23:26:48.413026 : Epoch  1, Batch    741, Loss  0.896898, Average Loss  0.890662, Time  0.447583
2021-09-24 23:26:50.593843 : Epoch  2, Batch    173, Loss  0.877955, Average Loss  0.876296, Time  0.447044
2021-09-24 23:26:54.484595 : Epoch  1, Batch    742, Loss  0.886813, Average Loss  0.890598, Time  0.452587
2021-09-24 23:26:56.728225 : Epoch  2, Batch    174, Loss  0.875677, Average Loss  0.876267, Time  0.446515
2021-09-24 23:27:00.534961 : Epoch  1, Batch    743, Loss  0.885721, Average Loss  0.890447, Time  0.448880
2021-09-24 23:27:02.878834 : Epoch  2, Batch    175, Loss  0.896953, Average Loss  0.876351, Time  0.450366
2021-09-24 23:27:06.587949 : Epoch  1, Batch    744, Loss  0.890071, Average Loss  0.890389, Time  0.463971
2021-09-24 23:27:09.033580 : Epoch  2, Batch    176, Loss  0.882269, Average Loss  0.876411, Time  0.447202
2021-09-24 23:27:12.636613 : Epoch  1, Batch    745, Loss  0.886982, Average Loss  0.890342, Time  0.445580
2021-09-24 23:27:15.195808 : Epoch  2, Batch    177, Loss  0.868956, Average Loss  0.876437, Time  0.457507
2021-09-24 23:27:18.720795 : Epoch  1, Batch    746, Loss  0.886630, Average Loss  0.890190, Time  0.450229
2021-09-24 23:27:21.340270 : Epoch  2, Batch    178, Loss  0.884094, Average Loss  0.876504, Time  0.445638
2021-09-24 23:27:24.777870 : Epoch  1, Batch    747, Loss  0.891803, Average Loss  0.890156, Time  0.446398
2021-09-24 23:27:27.489574 : Epoch  2, Batch    179, Loss  0.870054, Average Loss  0.876504, Time  0.445650
2021-09-24 23:27:30.830690 : Epoch  1, Batch    748, Loss  0.889925, Average Loss  0.890145, Time  0.451154
2021-09-24 23:27:33.638394 : Epoch  2, Batch    180, Loss  0.876884, Average Loss  0.876536, Time  0.449040
2021-09-24 23:27:36.883056 : Epoch  1, Batch    749, Loss  0.879316, Average Loss  0.890041, Time  0.446335
2021-09-24 23:27:39.798844 : Epoch  2, Batch    181, Loss  0.875119, Average Loss  0.876537, Time  0.447194
2021-09-24 23:27:42.930188 : Epoch  1, Batch    750, Loss  0.890537, Average Loss  0.890085, Time  0.448305
2021-09-24 23:27:45.934998 : Epoch  2, Batch    182, Loss  0.886130, Average Loss  0.876542, Time  0.446527
2021-09-24 23:27:49.008050 : Epoch  1, Batch    751, Loss  0.880791, Average Loss  0.890063, Time  0.446258
2021-09-24 23:27:52.073102 : Epoch  2, Batch    183, Loss  0.870444, Average Loss  0.876521, Time  0.446748
2021-09-24 23:27:55.090978 : Epoch  1, Batch    752, Loss  0.892622, Average Loss  0.890080, Time  0.464558
2021-09-24 23:27:58.224264 : Epoch  2, Batch    184, Loss  0.892957, Average Loss  0.876627, Time  0.454735
2021-09-24 23:28:01.169009 : Epoch  1, Batch    753, Loss  0.901632, Average Loss  0.890111, Time  0.447411
2021-09-24 23:28:04.390663 : Epoch  2, Batch    185, Loss  0.891485, Average Loss  0.876738, Time  0.450096
2021-09-24 23:28:07.206100 : Epoch  1, Batch    754, Loss  0.889626, Average Loss  0.890086, Time  0.446714
2021-09-24 23:28:10.551349 : Epoch  2, Batch    186, Loss  0.871331, Average Loss  0.876654, Time  0.447827
2021-09-24 23:28:13.239717 : Epoch  1, Batch    755, Loss  0.873481, Average Loss  0.889891, Time  0.447438
2021-09-24 23:28:16.697659 : Epoch  2, Batch    187, Loss  0.885739, Average Loss  0.876764, Time  0.449937
2021-09-24 23:28:19.297661 : Epoch  1, Batch    756, Loss  0.888049, Average Loss  0.889945, Time  0.445377
2021-09-24 23:28:22.847985 : Epoch  2, Batch    188, Loss  0.871656, Average Loss  0.876729, Time  0.447864
2021-09-24 23:28:25.337877 : Epoch  1, Batch    757, Loss  0.880769, Average Loss  0.889829, Time  0.445144
2021-09-24 23:28:28.995212 : Epoch  2, Batch    189, Loss  0.865923, Average Loss  0.876649, Time  0.448381
2021-09-24 23:28:31.391513 : Epoch  1, Batch    758, Loss  0.883431, Average Loss  0.889737, Time  0.447742
2021-09-24 23:28:35.177724 : Epoch  2, Batch    190, Loss  0.879637, Average Loss  0.876734, Time  0.449399
2021-09-24 23:28:37.433780 : Epoch  1, Batch    759, Loss  0.892257, Average Loss  0.889793, Time  0.452045
2021-09-24 23:28:41.346651 : Epoch  2, Batch    191, Loss  0.861377, Average Loss  0.876689, Time  0.449067
2021-09-24 23:28:43.509636 : Epoch  1, Batch    760, Loss  0.885530, Average Loss  0.889740, Time  0.453847
2021-09-24 23:28:47.520726 : Epoch  2, Batch    192, Loss  0.889568, Average Loss  0.876788, Time  0.453563
2021-09-24 23:28:49.568155 : Epoch  1, Batch    761, Loss  0.868650, Average Loss  0.889644, Time  0.447619
2021-09-24 23:28:53.684543 : Epoch  2, Batch    193, Loss  0.855804, Average Loss  0.876685, Time  0.461165
2021-09-24 23:28:55.644140 : Epoch  1, Batch    762, Loss  0.900370, Average Loss  0.889619, Time  0.449784
2021-09-24 23:28:59.806363 : Epoch  2, Batch    194, Loss  0.865753, Average Loss  0.876677, Time  0.450725
2021-09-24 23:29:01.711533 : Epoch  1, Batch    763, Loss  0.902424, Average Loss  0.889724, Time  0.447883
2021-09-24 23:29:05.960906 : Epoch  2, Batch    195, Loss  0.885902, Average Loss  0.876690, Time  0.449721
2021-09-24 23:29:07.781949 : Epoch  1, Batch    764, Loss  0.863064, Average Loss  0.889570, Time  0.447788
2021-09-24 23:29:12.117008 : Epoch  2, Batch    196, Loss  0.870074, Average Loss  0.876690, Time  0.448118
2021-09-24 23:29:13.857462 : Epoch  1, Batch    765, Loss  0.882302, Average Loss  0.889595, Time  0.452403
2021-09-24 23:29:18.273500 : Epoch  2, Batch    197, Loss  0.873171, Average Loss  0.876583, Time  0.452107
2021-09-24 23:29:19.938706 : Epoch  1, Batch    766, Loss  0.888360, Average Loss  0.889546, Time  0.451985
2021-09-24 23:29:24.426684 : Epoch  2, Batch    198, Loss  0.883507, Average Loss  0.876618, Time  0.455375
2021-09-24 23:29:26.009918 : Epoch  1, Batch    767, Loss  0.884816, Average Loss  0.889437, Time  0.457482
2021-09-24 23:29:30.599429 : Epoch  2, Batch    199, Loss  0.873449, Average Loss  0.876609, Time  0.455731
2021-09-24 23:29:32.075512 : Epoch  1, Batch    768, Loss  0.885403, Average Loss  0.889406, Time  0.454415
2021-09-24 23:29:36.720498 : Epoch  2, Batch    200, Loss  0.875045, Average Loss  0.876557, Time  0.446576
2021-09-24 23:29:38.126516 : Epoch  1, Batch    769, Loss  0.882450, Average Loss  0.889322, Time  0.451315
2021-09-24 23:29:42.875562 : Epoch  2, Batch    201, Loss  0.878594, Average Loss  0.876596, Time  0.446192
2021-09-24 23:29:44.186453 : Epoch  1, Batch    770, Loss  0.888911, Average Loss  0.889258, Time  0.447737
2021-09-24 23:29:49.010873 : Epoch  2, Batch    202, Loss  0.869374, Average Loss  0.876483, Time  0.449847
2021-09-24 23:29:50.254141 : Epoch  1, Batch    771, Loss  0.870741, Average Loss  0.889136, Time  0.451050
2021-09-24 23:29:55.157754 : Epoch  2, Batch    203, Loss  0.872979, Average Loss  0.876453, Time  0.446835
2021-09-24 23:29:56.295517 : Epoch  1, Batch    772, Loss  0.909022, Average Loss  0.889201, Time  0.449234
2021-09-24 23:30:01.305525 : Epoch  2, Batch    204, Loss  0.876859, Average Loss  0.876423, Time  0.450042
2021-09-24 23:30:02.350835 : Epoch  1, Batch    773, Loss  0.890925, Average Loss  0.889128, Time  0.447856
2021-09-24 23:30:07.466269 : Epoch  2, Batch    205, Loss  0.868948, Average Loss  0.876424, Time  0.446612
2021-09-24 23:30:08.417982 : Epoch  1, Batch    774, Loss  0.898815, Average Loss  0.889190, Time  0.460563
2021-09-24 23:30:13.622797 : Epoch  2, Batch    206, Loss  0.866384, Average Loss  0.876351, Time  0.445935
2021-09-24 23:30:14.471269 : Epoch  1, Batch    775, Loss  0.881049, Average Loss  0.889037, Time  0.446794
2021-09-24 23:30:19.787887 : Epoch  2, Batch    207, Loss  0.877002, Average Loss  0.876333, Time  0.462435
2021-09-24 23:30:20.529117 : Epoch  1, Batch    776, Loss  0.887488, Average Loss  0.889058, Time  0.445946
2021-09-24 23:30:25.949003 : Epoch  2, Batch    208, Loss  0.876173, Average Loss  0.876301, Time  0.447001
2021-09-24 23:30:26.599235 : Epoch  1, Batch    777, Loss  0.886844, Average Loss  0.888975, Time  0.446153
2021-09-24 23:30:32.099711 : Epoch  2, Batch    209, Loss  0.890574, Average Loss  0.876338, Time  0.448538
2021-09-24 23:30:32.671350 : Epoch  1, Batch    778, Loss  0.876008, Average Loss  0.888851, Time  0.446125
2021-09-24 23:30:38.242059 : Epoch  2, Batch    210, Loss  0.878963, Average Loss  0.876306, Time  0.446073
2021-09-24 23:30:38.720494 : Epoch  1, Batch    779, Loss  0.866737, Average Loss  0.888762, Time  0.446849
2021-09-24 23:30:44.373884 : Epoch  2, Batch    211, Loss  0.887393, Average Loss  0.876343, Time  0.447479
2021-09-24 23:30:44.794407 : Epoch  1, Batch    780, Loss  0.892878, Average Loss  0.888730, Time  0.447726
2021-09-24 23:30:50.531487 : Epoch  2, Batch    212, Loss  0.861482, Average Loss  0.876227, Time  0.448056
2021-09-24 23:30:50.857696 : Epoch  1, Batch    781, Loss  0.893909, Average Loss  0.888762, Time  0.448917
2021-09-24 23:30:56.670243 : Epoch  2, Batch    213, Loss  0.869976, Average Loss  0.876116, Time  0.447367
2021-09-24 23:30:56.931994 : Epoch  1, Batch    782, Loss  0.893950, Average Loss  0.888721, Time  0.458698
2021-09-24 23:31:02.819683 : Epoch  2, Batch    214, Loss  0.877685, Average Loss  0.876106, Time  0.464160
2021-09-24 23:31:02.973596 : Epoch  1, Batch    783, Loss  0.890542, Average Loss  0.888776, Time  0.445922
2021-09-24 23:31:08.977836 : Epoch  2, Batch    215, Loss  0.868635, Average Loss  0.876055, Time  0.448426
2021-09-24 23:31:09.046885 : Epoch  1, Batch    784, Loss  0.888228, Average Loss  0.888730, Time  0.451371
2021-09-24 23:31:15.093113 : Epoch  1, Batch    785, Loss  0.877350, Average Loss  0.888725, Time  0.446736
2021-09-24 23:31:15.132937 : Epoch  2, Batch    216, Loss  0.874775, Average Loss  0.875931, Time  0.445939
2021-09-24 23:31:21.151116 : Epoch  1, Batch    786, Loss  0.878422, Average Loss  0.888650, Time  0.448834
2021-09-24 23:31:21.257918 : Epoch  2, Batch    217, Loss  0.862074, Average Loss  0.875829, Time  0.445934
2021-09-24 23:31:27.200327 : Epoch  1, Batch    787, Loss  0.891496, Average Loss  0.888696, Time  0.448488
2021-09-24 23:31:27.395400 : Epoch  2, Batch    218, Loss  0.859847, Average Loss  0.875772, Time  0.448610
2021-09-24 23:31:33.268427 : Epoch  1, Batch    788, Loss  0.880740, Average Loss  0.888627, Time  0.445754
2021-09-24 23:31:33.554668 : Epoch  2, Batch    219, Loss  0.882998, Average Loss  0.875777, Time  0.446619
2021-09-24 23:31:39.340621 : Epoch  1, Batch    789, Loss  0.895039, Average Loss  0.888615, Time  0.459146
2021-09-24 23:31:39.725786 : Epoch  2, Batch    220, Loss  0.877942, Average Loss  0.875846, Time  0.450442
2021-09-24 23:31:45.401144 : Epoch  1, Batch    790, Loss  0.896036, Average Loss  0.888691, Time  0.445913
2021-09-24 23:31:45.891978 : Epoch  2, Batch    221, Loss  0.876350, Average Loss  0.875866, Time  0.449067
2021-09-24 23:31:51.457184 : Epoch  1, Batch    791, Loss  0.874883, Average Loss  0.888604, Time  0.447568
2021-09-24 23:31:52.070924 : Epoch  2, Batch    222, Loss  0.878079, Average Loss  0.875846, Time  0.471211
2021-09-24 23:31:57.528822 : Epoch  1, Batch    792, Loss  0.883193, Average Loss  0.888584, Time  0.447834
2021-09-24 23:31:58.234258 : Epoch  2, Batch    223, Loss  0.883071, Average Loss  0.875851, Time  0.449846
2021-09-24 23:32:03.627957 : Epoch  1, Batch    793, Loss  0.877323, Average Loss  0.888579, Time  0.448589
2021-09-24 23:32:04.380154 : Epoch  2, Batch    224, Loss  0.872203, Average Loss  0.875780, Time  0.451967
2021-09-24 23:32:09.700185 : Epoch  1, Batch    794, Loss  0.878232, Average Loss  0.888486, Time  0.447605
2021-09-24 23:32:10.552305 : Epoch  2, Batch    225, Loss  0.869928, Average Loss  0.875767, Time  0.447055
2021-09-24 23:32:15.792766 : Epoch  1, Batch    795, Loss  0.890664, Average Loss  0.888504, Time  0.447991
2021-09-24 23:32:16.691494 : Epoch  2, Batch    226, Loss  0.879723, Average Loss  0.875751, Time  0.447271
2021-09-24 23:32:21.862231 : Epoch  1, Batch    796, Loss  0.895316, Average Loss  0.888545, Time  0.445291
2021-09-24 23:32:22.829896 : Epoch  2, Batch    227, Loss  0.872144, Average Loss  0.875748, Time  0.447738
2021-09-24 23:32:27.940391 : Epoch  1, Batch    797, Loss  0.869308, Average Loss  0.888389, Time  0.463196
2021-09-24 23:32:28.987247 : Epoch  2, Batch    228, Loss  0.876201, Average Loss  0.875771, Time  0.448561
2021-09-24 23:32:34.023336 : Epoch  1, Batch    798, Loss  0.881711, Average Loss  0.888408, Time  0.450501
2021-09-24 23:32:35.143961 : Epoch  2, Batch    229, Loss  0.879840, Average Loss  0.875784, Time  0.469394
2021-09-24 23:32:40.102663 : Epoch  1, Batch    799, Loss  0.892556, Average Loss  0.888402, Time  0.449381
2021-09-24 23:32:41.297834 : Epoch  2, Batch    230, Loss  0.882838, Average Loss  0.875783, Time  0.452781
2021-09-24 23:32:46.180546 : Epoch  1, Batch    800, Loss  0.865322, Average Loss  0.888215, Time  0.446681
2021-09-24 23:32:47.458116 : Epoch  2, Batch    231, Loss  0.873453, Average Loss  0.875774, Time  0.448230
2021-09-24 23:32:53.629907 : Epoch  2, Batch    232, Loss  0.871413, Average Loss  0.875705, Time  0.447392
2021-09-24 23:32:59.779150 : Epoch  2, Batch    233, Loss  0.869309, Average Loss  0.875712, Time  0.446817
2021-09-24 23:33:05.952176 : Epoch  2, Batch    234, Loss  0.880571, Average Loss  0.875743, Time  0.449614
2021-09-24 23:33:12.114601 : Epoch  2, Batch    235, Loss  0.893125, Average Loss  0.875779, Time  0.449237
2021-09-24 23:33:18.281164 : Epoch  2, Batch    236, Loss  0.877742, Average Loss  0.875737, Time  0.449344
2021-09-24 23:33:24.453864 : Epoch  2, Batch    237, Loss  0.869567, Average Loss  0.875756, Time  0.462290
2021-09-24 23:33:30.607532 : Epoch  2, Batch    238, Loss  0.868926, Average Loss  0.875679, Time  0.448180
2021-09-24 23:33:36.756672 : Epoch  2, Batch    239, Loss  0.889537, Average Loss  0.875850, Time  0.447117
2021-09-24 23:33:42.919940 : Epoch  2, Batch    240, Loss  0.872987, Average Loss  0.875817, Time  0.447178
2021-09-24 23:33:49.067498 : Epoch  2, Batch    241, Loss  0.883249, Average Loss  0.875949, Time  0.447757
2021-09-24 23:33:55.206363 : Epoch  2, Batch    242, Loss  0.871460, Average Loss  0.875969, Time  0.446357
2021-09-24 23:34:01.372094 : Epoch  2, Batch    243, Loss  0.895049, Average Loss  0.876052, Time  0.447388
2021-09-24 23:34:07.541823 : Epoch  2, Batch    244, Loss  0.881954, Average Loss  0.876029, Time  0.456744
2021-09-24 23:34:13.689903 : Epoch  2, Batch    245, Loss  0.869499, Average Loss  0.876033, Time  0.454188
2021-09-24 23:34:19.863597 : Epoch  2, Batch    246, Loss  0.864807, Average Loss  0.875932, Time  0.450223
2021-09-24 23:34:26.030342 : Epoch  2, Batch    247, Loss  0.878590, Average Loss  0.875959, Time  0.450515
2021-09-24 23:34:32.201917 : Epoch  2, Batch    248, Loss  0.870010, Average Loss  0.875906, Time  0.448252
2021-09-24 23:34:38.366817 : Epoch  2, Batch    249, Loss  0.883284, Average Loss  0.875853, Time  0.451445
2021-09-24 23:34:44.530597 : Epoch  2, Batch    250, Loss  0.888046, Average Loss  0.875867, Time  0.452785
2021-09-24 23:34:50.689124 : Epoch  2, Batch    251, Loss  0.872706, Average Loss  0.875825, Time  0.446253
2021-09-24 23:34:56.826960 : Epoch  2, Batch    252, Loss  0.878645, Average Loss  0.875821, Time  0.454568
2021-09-24 23:35:02.991451 : Epoch  2, Batch    253, Loss  0.866600, Average Loss  0.875773, Time  0.452987
2021-09-24 23:35:09.154424 : Epoch  2, Batch    254, Loss  0.881450, Average Loss  0.875819, Time  0.448354
2021-09-24 23:35:15.320857 : Epoch  2, Batch    255, Loss  0.884695, Average Loss  0.875860, Time  0.449067
2021-09-24 23:35:21.478003 : Epoch  2, Batch    256, Loss  0.889286, Average Loss  0.875892, Time  0.447895
2021-09-24 23:35:27.628792 : Epoch  2, Batch    257, Loss  0.880780, Average Loss  0.875861, Time  0.448418
2021-09-24 23:35:33.786556 : Epoch  2, Batch    258, Loss  0.875314, Average Loss  0.875889, Time  0.448226
2021-09-24 23:35:39.916469 : Epoch  2, Batch    259, Loss  0.875593, Average Loss  0.875951, Time  0.462092
2021-09-24 23:35:46.052779 : Epoch  2, Batch    260, Loss  0.876209, Average Loss  0.875982, Time  0.448706
2021-09-24 23:35:52.194605 : Epoch  2, Batch    261, Loss  0.864591, Average Loss  0.875903, Time  0.446926
2021-09-24 23:35:58.341775 : Epoch  2, Batch    262, Loss  0.864409, Average Loss  0.875855, Time  0.446258
2021-09-24 23:36:04.489890 : Epoch  2, Batch    263, Loss  0.873119, Average Loss  0.875854, Time  0.452971
2021-09-24 23:36:10.622167 : Epoch  2, Batch    264, Loss  0.877133, Average Loss  0.875941, Time  0.448296
2021-09-24 23:36:16.752277 : Epoch  2, Batch    265, Loss  0.879646, Average Loss  0.875988, Time  0.446637
2021-09-24 23:36:22.878071 : Epoch  2, Batch    266, Loss  0.865089, Average Loss  0.875869, Time  0.446329
2021-09-24 23:36:29.010958 : Epoch  2, Batch    267, Loss  0.878171, Average Loss  0.875911, Time  0.459677
2021-09-24 23:36:35.166508 : Epoch  2, Batch    268, Loss  0.869809, Average Loss  0.875940, Time  0.450905
2021-09-24 23:36:41.322797 : Epoch  2, Batch    269, Loss  0.887790, Average Loss  0.875989, Time  0.452719
2021-09-24 23:36:47.476121 : Epoch  2, Batch    270, Loss  0.870765, Average Loss  0.876018, Time  0.449045
2021-09-24 23:36:53.640178 : Epoch  2, Batch    271, Loss  0.878594, Average Loss  0.875934, Time  0.454828
2021-09-24 23:36:59.781052 : Epoch  2, Batch    272, Loss  0.880934, Average Loss  0.876004, Time  0.448809
2021-09-24 23:37:37.142868 : CheckPoint: Validation Loss  0.00015595, Best Loss  0.00015208
2021-09-24 23:37:43.216054 : Epoch  1, Batch    801, Loss  0.882584, Average Loss  0.888133, Time  0.450075
2021-09-24 23:37:49.343319 : Epoch  1, Batch    802, Loss  0.898418, Average Loss  0.888168, Time  0.461198
2021-09-24 23:37:55.445820 : Epoch  1, Batch    803, Loss  0.877846, Average Loss  0.888103, Time  0.450420
2021-09-24 23:38:01.526654 : Epoch  1, Batch    804, Loss  0.884457, Average Loss  0.888035, Time  0.449867
2021-09-24 23:38:07.602609 : Epoch  1, Batch    805, Loss  0.895187, Average Loss  0.888085, Time  0.448196
2021-09-24 23:38:13.661051 : Epoch  1, Batch    806, Loss  0.892851, Average Loss  0.888104, Time  0.449871
2021-09-24 23:38:19.703920 : Epoch  1, Batch    807, Loss  0.873457, Average Loss  0.888192, Time  0.446742
2021-09-24 23:38:25.772878 : Epoch  1, Batch    808, Loss  0.884556, Average Loss  0.888141, Time  0.446150
2021-09-24 23:38:31.826092 : Epoch  1, Batch    809, Loss  0.887248, Average Loss  0.888218, Time  0.445724
2021-09-24 23:38:37.907641 : Epoch  1, Batch    810, Loss  0.886970, Average Loss  0.888256, Time  0.461599
2021-09-24 23:38:43.956737 : Epoch  1, Batch    811, Loss  0.880147, Average Loss  0.888276, Time  0.445336
2021-09-24 23:38:50.024035 : Epoch  1, Batch    812, Loss  0.891168, Average Loss  0.888271, Time  0.454111
2021-09-24 23:38:56.074962 : Epoch  1, Batch    813, Loss  0.883828, Average Loss  0.888279, Time  0.448026
2021-09-24 23:39:02.147126 : Epoch  1, Batch    814, Loss  0.887195, Average Loss  0.888263, Time  0.448622
2021-09-24 23:39:08.238523 : Epoch  1, Batch    815, Loss  0.876588, Average Loss  0.888161, Time  0.446112
2021-09-24 23:39:14.289222 : Epoch  1, Batch    816, Loss  0.875211, Average Loss  0.888114, Time  0.447284
2021-09-24 23:39:20.376937 : Epoch  1, Batch    817, Loss  0.882819, Average Loss  0.888034, Time  0.460399
2021-09-24 23:39:26.412034 : Epoch  1, Batch    818, Loss  0.875508, Average Loss  0.887981, Time  0.446787
2021-09-24 23:39:32.477162 : Epoch  1, Batch    819, Loss  0.863833, Average Loss  0.887770, Time  0.447036
2021-09-24 23:39:38.511518 : Epoch  1, Batch    820, Loss  0.875298, Average Loss  0.887657, Time  0.446464
2021-09-24 23:39:44.571196 : Epoch  1, Batch    821, Loss  0.893266, Average Loss  0.887642, Time  0.454573
2021-09-24 23:39:50.644943 : Epoch  1, Batch    822, Loss  0.878265, Average Loss  0.887543, Time  0.447883
2021-09-24 23:39:56.707878 : Epoch  1, Batch    823, Loss  0.873789, Average Loss  0.887407, Time  0.448153
2021-09-24 23:40:02.739218 : Epoch  1, Batch    824, Loss  0.887151, Average Loss  0.887331, Time  0.445199
2021-09-24 23:40:08.802370 : Epoch  1, Batch    825, Loss  0.891294, Average Loss  0.887351, Time  0.464735
2021-09-24 23:40:14.845543 : Epoch  1, Batch    826, Loss  0.891774, Average Loss  0.887342, Time  0.445943
2021-09-24 23:40:20.897204 : Epoch  1, Batch    827, Loss  0.877366, Average Loss  0.887231, Time  0.446226
2021-09-24 23:40:26.979784 : Epoch  1, Batch    828, Loss  0.884922, Average Loss  0.887258, Time  0.449822
2021-09-24 23:40:33.053936 : Epoch  1, Batch    829, Loss  0.868409, Average Loss  0.887185, Time  0.447094
2021-09-24 23:40:39.153067 : Epoch  1, Batch    830, Loss  0.892072, Average Loss  0.887242, Time  0.453321
2021-09-24 23:40:45.238918 : Epoch  1, Batch    831, Loss  0.870303, Average Loss  0.887131, Time  0.446060
2021-09-24 23:40:51.320570 : Epoch  1, Batch    832, Loss  0.885726, Average Loss  0.886998, Time  0.461921
2021-09-24 23:40:57.376721 : Epoch  1, Batch    833, Loss  0.881156, Average Loss  0.886971, Time  0.446531
2021-09-24 23:41:03.430139 : Epoch  1, Batch    834, Loss  0.876348, Average Loss  0.886879, Time  0.445567
2021-09-24 23:41:09.483466 : Epoch  1, Batch    835, Loss  0.872455, Average Loss  0.886793, Time  0.450718
2021-09-24 23:41:15.538952 : Epoch  1, Batch    836, Loss  0.887684, Average Loss  0.886809, Time  0.450404
2021-09-24 23:41:21.600149 : Epoch  1, Batch    837, Loss  0.898957, Average Loss  0.886883, Time  0.445763
2021-09-24 23:41:27.673507 : Epoch  1, Batch    838, Loss  0.869543, Average Loss  0.886707, Time  0.446831
2021-09-24 23:41:33.697503 : Epoch  1, Batch    839, Loss  0.900564, Average Loss  0.886731, Time  0.445875
2021-09-24 23:41:39.768428 : Epoch  1, Batch    840, Loss  0.881904, Average Loss  0.886712, Time  0.459023
2021-09-24 23:41:45.852770 : Epoch  1, Batch    841, Loss  0.884844, Average Loss  0.886714, Time  0.449814
2021-09-24 23:41:50.606962 : CheckPoint: Validation Loss  0.00015056, Best Loss  0.00014886
2021-09-24 23:41:51.912716 : Epoch  1, Batch    842, Loss  0.879952, Average Loss  0.886661, Time  0.446294
2021-09-24 23:41:56.738285 : Epoch  2, Batch    273, Loss  0.889301, Average Loss  0.876036, Time  0.449224
2021-09-24 23:41:57.978646 : Epoch  1, Batch    843, Loss  0.881119, Average Loss  0.886619, Time  0.446220
2021-09-24 23:42:02.879841 : Epoch  2, Batch    274, Loss  0.873793, Average Loss  0.876025, Time  0.450080
2021-09-24 23:42:04.037191 : Epoch  1, Batch    844, Loss  0.886846, Average Loss  0.886558, Time  0.445942
2021-09-24 23:42:09.002664 : Epoch  2, Batch    275, Loss  0.875952, Average Loss  0.876035, Time  0.446168
2021-09-24 23:42:10.086483 : Epoch  1, Batch    845, Loss  0.876344, Average Loss  0.886507, Time  0.445902
2021-09-24 23:42:15.142525 : Epoch  2, Batch    276, Loss  0.882089, Average Loss  0.876078, Time  0.446790
2021-09-24 23:42:16.161113 : Epoch  1, Batch    846, Loss  0.900102, Average Loss  0.886567, Time  0.447229
2021-09-24 23:42:21.264325 : Epoch  2, Batch    277, Loss  0.866753, Average Loss  0.876090, Time  0.446034
2021-09-24 23:42:22.224328 : Epoch  1, Batch    847, Loss  0.867600, Average Loss  0.886328, Time  0.458682
2021-09-24 23:42:27.387602 : Epoch  2, Batch    278, Loss  0.881789, Average Loss  0.876166, Time  0.452975
2021-09-24 23:42:28.284688 : Epoch  1, Batch    848, Loss  0.885150, Average Loss  0.886328, Time  0.444995
2021-09-24 23:42:33.489981 : Epoch  2, Batch    279, Loss  0.859953, Average Loss  0.876127, Time  0.446980
2021-09-24 23:42:34.370870 : Epoch  1, Batch    849, Loss  0.888246, Average Loss  0.886296, Time  0.448361
2021-09-24 23:42:39.633693 : Epoch  2, Batch    280, Loss  0.883145, Average Loss  0.876170, Time  0.461399
2021-09-24 23:42:40.431381 : Epoch  1, Batch    850, Loss  0.893013, Average Loss  0.886310, Time  0.457588
2021-09-24 23:42:45.738165 : Epoch  2, Batch    281, Loss  0.882652, Average Loss  0.876189, Time  0.447588
2021-09-24 23:42:46.494519 : Epoch  1, Batch    851, Loss  0.882221, Average Loss  0.886258, Time  0.446551
2021-09-24 23:42:51.862786 : Epoch  2, Batch    282, Loss  0.875793, Average Loss  0.876185, Time  0.451379
2021-09-24 23:42:52.570781 : Epoch  1, Batch    852, Loss  0.880859, Average Loss  0.886249, Time  0.447778
2021-09-24 23:42:58.001130 : Epoch  2, Batch    283, Loss  0.868300, Average Loss  0.876176, Time  0.448198
2021-09-24 23:42:58.620430 : Epoch  1, Batch    853, Loss  0.875275, Average Loss  0.886180, Time  0.446982
2021-09-24 23:43:04.115545 : Epoch  2, Batch    284, Loss  0.882251, Average Loss  0.876154, Time  0.446760
2021-09-24 23:43:04.684630 : Epoch  1, Batch    854, Loss  0.896257, Average Loss  0.886228, Time  0.450396
2021-09-24 23:43:10.223876 : Epoch  2, Batch    285, Loss  0.874041, Average Loss  0.876143, Time  0.446537
2021-09-24 23:43:10.767791 : Epoch  1, Batch    855, Loss  0.885509, Average Loss  0.886241, Time  0.454339
2021-09-24 23:43:16.343874 : Epoch  2, Batch    286, Loss  0.859765, Average Loss  0.876111, Time  0.446626
2021-09-24 23:43:16.816453 : Epoch  1, Batch    856, Loss  0.871524, Average Loss  0.886181, Time  0.446427
2021-09-24 23:43:22.504324 : Epoch  2, Batch    287, Loss  0.881413, Average Loss  0.876083, Time  0.468006
2021-09-24 23:43:22.896245 : Epoch  1, Batch    857, Loss  0.869785, Average Loss  0.886102, Time  0.447494
2021-09-24 23:43:28.626707 : Epoch  2, Batch    288, Loss  0.868166, Average Loss  0.876050, Time  0.446431
2021-09-24 23:43:28.938701 : Epoch  1, Batch    858, Loss  0.886668, Average Loss  0.886001, Time  0.446896
2021-09-24 23:43:34.749941 : Epoch  2, Batch    289, Loss  0.868699, Average Loss  0.875980, Time  0.448384
2021-09-24 23:43:35.016437 : Epoch  1, Batch    859, Loss  0.888381, Average Loss  0.886024, Time  0.447285
2021-09-24 23:43:40.858841 : Epoch  2, Batch    290, Loss  0.881362, Average Loss  0.876071, Time  0.449559
2021-09-24 23:43:41.072007 : Epoch  1, Batch    860, Loss  0.877633, Average Loss  0.885899, Time  0.449175
2021-09-24 23:43:46.968967 : Epoch  2, Batch    291, Loss  0.876083, Average Loss  0.876047, Time  0.446369
2021-09-24 23:43:47.136963 : Epoch  1, Batch    861, Loss  0.862384, Average Loss  0.885730, Time  0.448808
2021-09-24 23:43:53.087927 : Epoch  2, Batch    292, Loss  0.874618, Average Loss  0.876005, Time  0.447652
2021-09-24 23:43:53.196917 : Epoch  1, Batch    862, Loss  0.885287, Average Loss  0.885762, Time  0.458308
2021-09-24 23:43:59.219687 : Epoch  2, Batch    293, Loss  0.888168, Average Loss  0.876042, Time  0.448217
2021-09-24 23:43:59.277492 : Epoch  1, Batch    863, Loss  0.868578, Average Loss  0.885633, Time  0.446293
2021-09-24 23:44:05.346973 : Epoch  2, Batch    294, Loss  0.860788, Average Loss  0.875934, Time  0.456941
2021-09-24 23:44:05.384937 : Epoch  1, Batch    864, Loss  0.892423, Average Loss  0.885647, Time  0.449956
2021-09-24 23:44:11.422579 : Epoch  1, Batch    865, Loss  0.868451, Average Loss  0.885551, Time  0.445617
2021-09-24 23:44:11.476864 : Epoch  2, Batch    295, Loss  0.864113, Average Loss  0.875845, Time  0.456287
2021-09-24 23:44:17.460947 : Epoch  1, Batch    866, Loss  0.890071, Average Loss  0.885631, Time  0.445925
2021-09-24 23:44:17.604913 : Epoch  2, Batch    296, Loss  0.883729, Average Loss  0.875886, Time  0.447749
2021-09-24 23:44:23.555872 : Epoch  1, Batch    867, Loss  0.877906, Average Loss  0.885570, Time  0.453209
2021-09-24 23:44:23.733745 : Epoch  2, Batch    297, Loss  0.890188, Average Loss  0.875972, Time  0.446215
2021-09-24 23:44:29.637526 : Epoch  1, Batch    868, Loss  0.872828, Average Loss  0.885493, Time  0.449805
2021-09-24 23:44:29.839390 : Epoch  2, Batch    298, Loss  0.874416, Average Loss  0.875963, Time  0.446569
2021-09-24 23:44:35.720955 : Epoch  1, Batch    869, Loss  0.881508, Average Loss  0.885544, Time  0.447249
2021-09-24 23:44:35.948150 : Epoch  2, Batch    299, Loss  0.880199, Average Loss  0.875976, Time  0.447035
2021-09-24 23:44:41.806189 : Epoch  1, Batch    870, Loss  0.873295, Average Loss  0.885451, Time  0.469715
2021-09-24 23:44:42.075693 : Epoch  2, Batch    300, Loss  0.887694, Average Loss  0.876045, Time  0.446276
2021-09-24 23:44:47.887948 : Epoch  1, Batch    871, Loss  0.890461, Average Loss  0.885484, Time  0.449667
2021-09-24 23:44:48.198461 : Epoch  2, Batch    301, Loss  0.873194, Average Loss  0.876062, Time  0.446588
2021-09-24 23:44:53.997127 : Epoch  1, Batch    872, Loss  0.867620, Average Loss  0.885328, Time  0.455746
2021-09-24 23:44:54.343767 : Epoch  2, Batch    302, Loss  0.878354, Average Loss  0.876146, Time  0.460775
2021-09-24 23:45:00.067135 : Epoch  1, Batch    873, Loss  0.879196, Average Loss  0.885275, Time  0.446361
2021-09-24 23:45:00.473200 : Epoch  2, Batch    303, Loss  0.873875, Average Loss  0.876169, Time  0.450446
2021-09-24 23:45:06.185922 : Epoch  1, Batch    874, Loss  0.878376, Average Loss  0.885227, Time  0.453321
2021-09-24 23:45:06.601614 : Epoch  2, Batch    304, Loss  0.852398, Average Loss  0.876056, Time  0.447625
2021-09-24 23:45:12.253835 : Epoch  1, Batch    875, Loss  0.895443, Average Loss  0.885140, Time  0.446279
2021-09-24 23:45:12.718915 : Epoch  2, Batch    305, Loss  0.866276, Average Loss  0.875991, Time  0.449923
2021-09-24 23:45:18.308393 : Epoch  1, Batch    876, Loss  0.873153, Average Loss  0.885102, Time  0.446409
2021-09-24 23:45:18.820800 : Epoch  2, Batch    306, Loss  0.875744, Average Loss  0.875946, Time  0.449345
2021-09-24 23:45:24.403734 : Epoch  1, Batch    877, Loss  0.885955, Average Loss  0.884988, Time  0.460741
2021-09-24 23:45:24.948676 : Epoch  2, Batch    307, Loss  0.879169, Average Loss  0.875984, Time  0.447305
2021-09-24 23:45:30.483389 : Epoch  1, Batch    878, Loss  0.878806, Average Loss  0.884920, Time  0.446969
2021-09-24 23:45:31.070274 : Epoch  2, Batch    308, Loss  0.878698, Average Loss  0.875970, Time  0.447238
2021-09-24 23:45:36.560033 : Epoch  1, Batch    879, Loss  0.893667, Average Loss  0.884952, Time  0.445792
2021-09-24 23:45:37.178671 : Epoch  2, Batch    309, Loss  0.873766, Average Loss  0.876008, Time  0.446393
2021-09-24 23:45:42.632310 : Epoch  1, Batch    880, Loss  0.887159, Average Loss  0.884937, Time  0.445236
2021-09-24 23:45:43.322064 : Epoch  2, Batch    310, Loss  0.867580, Average Loss  0.875942, Time  0.459797
2021-09-24 23:45:48.713568 : Epoch  1, Batch    881, Loss  0.887709, Average Loss  0.884942, Time  0.445951
2021-09-24 23:45:49.436498 : Epoch  2, Batch    311, Loss  0.868171, Average Loss  0.875959, Time  0.447833
2021-09-24 23:45:54.761711 : Epoch  1, Batch    882, Loss  0.890007, Average Loss  0.884923, Time  0.445470
2021-09-24 23:45:55.555898 : Epoch  2, Batch    312, Loss  0.867036, Average Loss  0.876001, Time  0.446474
2021-09-24 23:46:00.860736 : Epoch  1, Batch    883, Loss  0.889507, Average Loss  0.884873, Time  0.449888
2021-09-24 23:46:01.692526 : Epoch  2, Batch    313, Loss  0.879428, Average Loss  0.876015, Time  0.460146
2021-09-24 23:46:06.919355 : Epoch  1, Batch    884, Loss  0.887777, Average Loss  0.884852, Time  0.446283
2021-09-24 23:46:07.814992 : Epoch  2, Batch    314, Loss  0.877053, Average Loss  0.875952, Time  0.447058
2021-09-24 23:46:13.027847 : Epoch  1, Batch    885, Loss  0.884192, Average Loss  0.884765, Time  0.458830
2021-09-24 23:46:13.935515 : Epoch  2, Batch    315, Loss  0.878218, Average Loss  0.875850, Time  0.446441
2021-09-24 23:46:19.107485 : Epoch  1, Batch    886, Loss  0.870267, Average Loss  0.884700, Time  0.445486
2021-09-24 23:46:20.057897 : Epoch  2, Batch    316, Loss  0.868377, Average Loss  0.875817, Time  0.447613
2021-09-24 23:46:25.152640 : Epoch  1, Batch    887, Loss  0.876844, Average Loss  0.884696, Time  0.447005
2021-09-24 23:46:26.194794 : Epoch  2, Batch    317, Loss  0.869738, Average Loss  0.875756, Time  0.455515
2021-09-24 23:46:31.205077 : Epoch  1, Batch    888, Loss  0.881654, Average Loss  0.884715, Time  0.446015
2021-09-24 23:46:32.319058 : Epoch  2, Batch    318, Loss  0.876950, Average Loss  0.875821, Time  0.447475
2021-09-24 23:46:37.276109 : Epoch  1, Batch    889, Loss  0.886455, Average Loss  0.884739, Time  0.445540
2021-09-24 23:46:38.425734 : Epoch  2, Batch    319, Loss  0.874729, Average Loss  0.875829, Time  0.445672
2021-09-24 23:46:43.342677 : Epoch  1, Batch    890, Loss  0.879380, Average Loss  0.884670, Time  0.445827
2021-09-24 23:46:44.556863 : Epoch  2, Batch    320, Loss  0.888767, Average Loss  0.875905, Time  0.449433
2021-09-24 23:46:49.414333 : Epoch  1, Batch    891, Loss  0.882328, Average Loss  0.884738, Time  0.446910
2021-09-24 23:46:50.678346 : Epoch  2, Batch    321, Loss  0.863401, Average Loss  0.875787, Time  0.449424
2021-09-24 23:46:55.507771 : Epoch  1, Batch    892, Loss  0.868887, Average Loss  0.884663, Time  0.458999
2021-09-24 23:46:56.783277 : Epoch  2, Batch    322, Loss  0.875972, Average Loss  0.875801, Time  0.447820
2021-09-24 23:47:01.579157 : Epoch  1, Batch    893, Loss  0.877249, Average Loss  0.884639, Time  0.445826
2021-09-24 23:47:02.951895 : Epoch  2, Batch    323, Loss  0.892838, Average Loss  0.875950, Time  0.449706
2021-09-24 23:47:07.650950 : Epoch  1, Batch    894, Loss  0.877984, Average Loss  0.884532, Time  0.449666
2021-09-24 23:47:09.077274 : Epoch  2, Batch    324, Loss  0.881306, Average Loss  0.875952, Time  0.446861
2021-09-24 23:47:13.722851 : Epoch  1, Batch    895, Loss  0.875624, Average Loss  0.884475, Time  0.446026
2021-09-24 23:47:15.214901 : Epoch  2, Batch    325, Loss  0.876271, Average Loss  0.875973, Time  0.467758
2021-09-24 23:47:19.796518 : Epoch  1, Batch    896, Loss  0.887960, Average Loss  0.884489, Time  0.446043
2021-09-24 23:47:21.351027 : Epoch  2, Batch    326, Loss  0.902521, Average Loss  0.876113, Time  0.448779
2021-09-24 23:47:25.874151 : Epoch  1, Batch    897, Loss  0.908027, Average Loss  0.884575, Time  0.449122
2021-09-24 23:47:27.491551 : Epoch  2, Batch    327, Loss  0.871347, Average Loss  0.876044, Time  0.446760
2021-09-24 23:47:31.972201 : Epoch  1, Batch    898, Loss  0.876656, Average Loss  0.884484, Time  0.448495
2021-09-24 23:47:33.632923 : Epoch  2, Batch    328, Loss  0.880264, Average Loss  0.876104, Time  0.449426
2021-09-24 23:47:38.035326 : Epoch  1, Batch    899, Loss  0.881074, Average Loss  0.884437, Time  0.446742
2021-09-24 23:47:39.769023 : Epoch  2, Batch    329, Loss  0.870892, Average Loss  0.876074, Time  0.446882
2021-09-24 23:47:44.128346 : Epoch  1, Batch    900, Loss  0.865766, Average Loss  0.884334, Time  0.462606
2021-09-24 23:47:45.905995 : Epoch  2, Batch    330, Loss  0.869467, Average Loss  0.876047, Time  0.450964
2021-09-24 23:47:52.030140 : Epoch  2, Batch    331, Loss  0.884486, Average Loss  0.876091, Time  0.447968
2021-09-24 23:47:58.157812 : Epoch  2, Batch    332, Loss  0.883024, Average Loss  0.876114, Time  0.462037
2021-09-24 23:48:04.302483 : Epoch  2, Batch    333, Loss  0.858910, Average Loss  0.875978, Time  0.449446
2021-09-24 23:48:10.427434 : Epoch  2, Batch    334, Loss  0.873126, Average Loss  0.875986, Time  0.446647
2021-09-24 23:48:16.532202 : Epoch  2, Batch    335, Loss  0.879330, Average Loss  0.876023, Time  0.445760
2021-09-24 23:48:22.652951 : Epoch  2, Batch    336, Loss  0.875028, Average Loss  0.876022, Time  0.449454
2021-09-24 23:48:28.753132 : Epoch  2, Batch    337, Loss  0.882888, Average Loss  0.876072, Time  0.449136
2021-09-24 23:48:34.870699 : Epoch  2, Batch    338, Loss  0.878112, Average Loss  0.876057, Time  0.446702
2021-09-24 23:48:41.003900 : Epoch  2, Batch    339, Loss  0.885423, Average Loss  0.876049, Time  0.449129
2021-09-24 23:48:47.139980 : Epoch  2, Batch    340, Loss  0.877956, Average Loss  0.876066, Time  0.462514
2021-09-24 23:48:53.275051 : Epoch  2, Batch    341, Loss  0.874032, Average Loss  0.876077, Time  0.447366
2021-09-24 23:48:59.401754 : Epoch  2, Batch    342, Loss  0.881542, Average Loss  0.876124, Time  0.447648
2021-09-24 23:49:05.553059 : Epoch  2, Batch    343, Loss  0.883829, Average Loss  0.876137, Time  0.449620
2021-09-24 23:49:11.710047 : Epoch  2, Batch    344, Loss  0.871251, Average Loss  0.876098, Time  0.449305
2021-09-24 23:49:17.848487 : Epoch  2, Batch    345, Loss  0.858869, Average Loss  0.875980, Time  0.447479
2021-09-24 23:49:23.964669 : Epoch  2, Batch    346, Loss  0.888790, Average Loss  0.876015, Time  0.445727
2021-09-24 23:49:30.086032 : Epoch  2, Batch    347, Loss  0.885294, Average Loss  0.876037, Time  0.464122
2021-09-24 23:49:36.216808 : Epoch  2, Batch    348, Loss  0.871899, Average Loss  0.876015, Time  0.449015
2021-09-24 23:49:42.362441 : Epoch  2, Batch    349, Loss  0.870608, Average Loss  0.875979, Time  0.452553
2021-09-24 23:49:48.478259 : Epoch  2, Batch    350, Loss  0.899625, Average Loss  0.876045, Time  0.446720
2021-09-24 23:49:54.602686 : Epoch  2, Batch    351, Loss  0.879393, Average Loss  0.876105, Time  0.450210
2021-09-24 23:50:00.719496 : Epoch  2, Batch    352, Loss  0.875372, Average Loss  0.876198, Time  0.446477
2021-09-24 23:50:06.859504 : Epoch  2, Batch    353, Loss  0.879460, Average Loss  0.876280, Time  0.449125
2021-09-24 23:50:12.969692 : Epoch  2, Batch    354, Loss  0.885696, Average Loss  0.876205, Time  0.447708
2021-09-24 23:50:19.134428 : Epoch  2, Batch    355, Loss  0.886537, Average Loss  0.876243, Time  0.457967
2021-09-24 23:50:25.269970 : Epoch  2, Batch    356, Loss  0.864017, Average Loss  0.876109, Time  0.449559
2021-09-24 23:50:31.425992 : Epoch  2, Batch    357, Loss  0.858733, Average Loss  0.876001, Time  0.449189
2021-09-24 23:50:37.547832 : Epoch  2, Batch    358, Loss  0.864599, Average Loss  0.875976, Time  0.451458
2021-09-24 23:50:43.673208 : Epoch  2, Batch    359, Loss  0.871206, Average Loss  0.875936, Time  0.448953
2021-09-24 23:50:49.785281 : Epoch  2, Batch    360, Loss  0.864047, Average Loss  0.875945, Time  0.448285
2021-09-24 23:50:55.912885 : Epoch  2, Batch    361, Loss  0.879354, Average Loss  0.875954, Time  0.446196
2021-09-24 23:51:02.047624 : Epoch  2, Batch    362, Loss  0.870970, Average Loss  0.875914, Time  0.460744
2021-09-24 23:51:08.185818 : Epoch  2, Batch    363, Loss  0.884492, Average Loss  0.875990, Time  0.446750
2021-09-24 23:51:14.319567 : Epoch  2, Batch    364, Loss  0.872986, Average Loss  0.875984, Time  0.447970
2021-09-24 23:51:20.431806 : Epoch  2, Batch    365, Loss  0.884905, Average Loss  0.876025, Time  0.446426
2021-09-24 23:51:26.549967 : Epoch  2, Batch    366, Loss  0.877710, Average Loss  0.876006, Time  0.450322
2021-09-24 23:51:32.678063 : Epoch  2, Batch    367, Loss  0.871560, Average Loss  0.876007, Time  0.446028
2021-09-24 23:51:38.803228 : Epoch  2, Batch    368, Loss  0.871807, Average Loss  0.876055, Time  0.448196
2021-09-24 23:51:44.932732 : Epoch  2, Batch    369, Loss  0.875781, Average Loss  0.876195, Time  0.446496
2021-09-24 23:51:51.059516 : Epoch  2, Batch    370, Loss  0.880539, Average Loss  0.876202, Time  0.457165
2021-09-24 23:51:57.169827 : Epoch  2, Batch    371, Loss  0.875153, Average Loss  0.876230, Time  0.449571
2021-09-24 23:52:03.315486 : Epoch  2, Batch    372, Loss  0.883852, Average Loss  0.876195, Time  0.447953
2021-09-24 23:52:35.005752 : CheckPoint: Validation Loss  0.00014958, Best Loss  0.00014958
2021-09-24 23:52:35.048856 : Best Model Updated
2021-09-24 23:52:40.461336 : Epoch  1, Batch    901, Loss  0.887872, Average Loss  0.884325, Time  0.349817
2021-09-24 23:52:46.557790 : Epoch  1, Batch    902, Loss  0.882913, Average Loss  0.884284, Time  0.446377
2021-09-24 23:52:52.670705 : Epoch  1, Batch    903, Loss  0.870815, Average Loss  0.884195, Time  0.445286
2021-09-24 23:52:58.781332 : Epoch  1, Batch    904, Loss  0.898308, Average Loss  0.884255, Time  0.451782
2021-09-24 23:53:04.921711 : Epoch  1, Batch    905, Loss  0.877870, Average Loss  0.884219, Time  0.464559
2021-09-24 23:53:11.041080 : Epoch  1, Batch    906, Loss  0.878662, Average Loss  0.884249, Time  0.446616
2021-09-24 23:53:17.144839 : Epoch  1, Batch    907, Loss  0.875618, Average Loss  0.884131, Time  0.447754
2021-09-24 23:53:23.258307 : Epoch  1, Batch    908, Loss  0.866958, Average Loss  0.884029, Time  0.447436
2021-09-24 23:53:29.391130 : Epoch  1, Batch    909, Loss  0.871415, Average Loss  0.883976, Time  0.448425
2021-09-24 23:53:35.522503 : Epoch  1, Batch    910, Loss  0.869437, Average Loss  0.883860, Time  0.450305
2021-09-24 23:53:41.654335 : Epoch  1, Batch    911, Loss  0.883891, Average Loss  0.883798, Time  0.445553
2021-09-24 23:53:47.769485 : Epoch  1, Batch    912, Loss  0.915221, Average Loss  0.883980, Time  0.447179
2021-09-24 23:53:53.909380 : Epoch  1, Batch    913, Loss  0.884382, Average Loss  0.883949, Time  0.459709
2021-09-24 23:54:00.030163 : Epoch  1, Batch    914, Loss  0.892958, Average Loss  0.884072, Time  0.452139
2021-09-24 23:54:06.150400 : Epoch  1, Batch    915, Loss  0.888436, Average Loss  0.884058, Time  0.447246
2021-09-24 23:54:12.274418 : Epoch  1, Batch    916, Loss  0.882621, Average Loss  0.884027, Time  0.450334
2021-09-24 23:54:18.389918 : Epoch  1, Batch    917, Loss  0.900444, Average Loss  0.884078, Time  0.447030
2021-09-24 23:54:24.506032 : Epoch  1, Batch    918, Loss  0.877160, Average Loss  0.884067, Time  0.447872
2021-09-24 23:54:30.600714 : Epoch  1, Batch    919, Loss  0.878053, Average Loss  0.884017, Time  0.446079
2021-09-24 23:54:36.735632 : Epoch  1, Batch    920, Loss  0.876504, Average Loss  0.883967, Time  0.458380
2021-09-24 23:54:42.877028 : Epoch  1, Batch    921, Loss  0.886509, Average Loss  0.883939, Time  0.447628
2021-09-24 23:54:49.033205 : Epoch  1, Batch    922, Loss  0.887942, Average Loss  0.883926, Time  0.453510
2021-09-24 23:54:55.222708 : Epoch  1, Batch    923, Loss  0.871435, Average Loss  0.883800, Time  0.450746
2021-09-24 23:55:01.367963 : Epoch  1, Batch    924, Loss  0.870370, Average Loss  0.883774, Time  0.446898
2021-09-24 23:55:07.510753 : Epoch  1, Batch    925, Loss  0.886685, Average Loss  0.883798, Time  0.449129
2021-09-24 23:55:13.648122 : Epoch  1, Batch    926, Loss  0.870768, Average Loss  0.883709, Time  0.446254
2021-09-24 23:55:19.795477 : Epoch  1, Batch    927, Loss  0.884643, Average Loss  0.883682, Time  0.451733
2021-09-24 23:55:25.944299 : Epoch  1, Batch    928, Loss  0.876435, Average Loss  0.883599, Time  0.464254
2021-09-24 23:55:25.987655 : Saving Model after 1-th Epoch.
2021-09-24 23:55:26.863021 : Epoch Finished.
2021-09-24 23:55:35.933481 : Batch Shuffled
2021-09-24 23:55:42.100914 : Epoch  2, Batch      1, Loss  0.897919, Average Loss  0.883669, Time  0.451210
2021-09-24 23:55:48.175263 : Epoch  2, Batch      2, Loss  0.875817, Average Loss  0.883528, Time  0.448563
2021-09-24 23:55:54.236439 : Epoch  2, Batch      3, Loss  0.878078, Average Loss  0.883414, Time  0.446004
2021-09-24 23:56:00.298054 : Epoch  2, Batch      4, Loss  0.884562, Average Loss  0.883329, Time  0.446732
2021-09-24 23:56:06.367607 : Epoch  2, Batch      5, Loss  0.883968, Average Loss  0.883298, Time  0.457933
2021-09-24 23:56:12.458637 : Epoch  2, Batch      6, Loss  0.885507, Average Loss  0.883369, Time  0.462372
2021-09-24 23:56:18.540924 : Epoch  2, Batch      7, Loss  0.884226, Average Loss  0.883329, Time  0.448535
2021-09-24 23:56:24.643990 : Epoch  2, Batch      8, Loss  0.889395, Average Loss  0.883335, Time  0.450036
2021-09-24 23:56:30.742512 : Epoch  2, Batch      9, Loss  0.888399, Average Loss  0.883416, Time  0.449455
2021-09-24 23:56:36.816111 : Epoch  2, Batch     10, Loss  0.877955, Average Loss  0.883397, Time  0.446593
2021-09-24 23:56:42.935202 : Epoch  2, Batch     11, Loss  0.881576, Average Loss  0.883429, Time  0.449989
2021-09-24 23:56:49.028408 : Epoch  2, Batch     12, Loss  0.874976, Average Loss  0.883322, Time  0.448294
2021-09-24 23:56:53.649929 : CheckPoint: Validation Loss  0.00015231, Best Loss  0.00014886
2021-09-24 23:56:55.123661 : Epoch  2, Batch     13, Loss  0.868152, Average Loss  0.883178, Time  0.457825
2021-09-24 23:56:59.749546 : Epoch  2, Batch    373, Loss  0.880660, Average Loss  0.876209, Time  0.448327
2021-09-24 23:57:01.205766 : Epoch  2, Batch     14, Loss  0.887050, Average Loss  0.883180, Time  0.448285
2021-09-24 23:57:05.852292 : Epoch  2, Batch    374, Loss  0.868996, Average Loss  0.876175, Time  0.445665
2021-09-24 23:57:07.282741 : Epoch  2, Batch     15, Loss  0.881926, Average Loss  0.883161, Time  0.446033
2021-09-24 23:57:12.000539 : Epoch  2, Batch    375, Loss  0.873228, Average Loss  0.876057, Time  0.470459
2021-09-24 23:57:13.344297 : Epoch  2, Batch     16, Loss  0.872155, Average Loss  0.883071, Time  0.448004
2021-09-24 23:57:18.108989 : Epoch  2, Batch    376, Loss  0.875578, Average Loss  0.876023, Time  0.447268
2021-09-24 23:57:19.444600 : Epoch  2, Batch     17, Loss  0.883737, Average Loss  0.883055, Time  0.450193
2021-09-24 23:57:24.216044 : Epoch  2, Batch    377, Loss  0.878361, Average Loss  0.876070, Time  0.452570
2021-09-24 23:57:25.531240 : Epoch  2, Batch     18, Loss  0.894549, Average Loss  0.883094, Time  0.448065
2021-09-24 23:57:30.331409 : Epoch  2, Batch    378, Loss  0.870901, Average Loss  0.876004, Time  0.448155
2021-09-24 23:57:31.605373 : Epoch  2, Batch     19, Loss  0.902117, Average Loss  0.883146, Time  0.448689
2021-09-24 23:57:36.445847 : Epoch  2, Batch    379, Loss  0.867195, Average Loss  0.875990, Time  0.448678
2021-09-24 23:57:37.662411 : Epoch  2, Batch     20, Loss  0.885658, Average Loss  0.883125, Time  0.447638
2021-09-24 23:57:42.532176 : Epoch  2, Batch    380, Loss  0.865327, Average Loss  0.875932, Time  0.447542
2021-09-24 23:57:43.780071 : Epoch  2, Batch     21, Loss  0.887217, Average Loss  0.883164, Time  0.458986
2021-09-24 23:57:48.626256 : Epoch  2, Batch    381, Loss  0.877853, Average Loss  0.875946, Time  0.446458
2021-09-24 23:57:49.866542 : Epoch  2, Batch     22, Loss  0.867007, Average Loss  0.883046, Time  0.449591
2021-09-24 23:57:54.712123 : Epoch  2, Batch    382, Loss  0.888489, Average Loss  0.875958, Time  0.448875
2021-09-24 23:57:55.943544 : Epoch  2, Batch     23, Loss  0.881853, Average Loss  0.883052, Time  0.446944
2021-09-24 23:58:00.814555 : Epoch  2, Batch    383, Loss  0.886146, Average Loss  0.876036, Time  0.462266
2021-09-24 23:58:02.016884 : Epoch  2, Batch     24, Loss  0.868769, Average Loss  0.882933, Time  0.447461
2021-09-24 23:58:06.929760 : Epoch  2, Batch    384, Loss  0.873126, Average Loss  0.875937, Time  0.449744
2021-09-24 23:58:08.099998 : Epoch  2, Batch     25, Loss  0.870860, Average Loss  0.882779, Time  0.449780
2021-09-24 23:58:13.049688 : Epoch  2, Batch    385, Loss  0.870439, Average Loss  0.875832, Time  0.447064
2021-09-24 23:58:14.181981 : Epoch  2, Batch     26, Loss  0.865860, Average Loss  0.882660, Time  0.448737
2021-09-24 23:58:19.151300 : Epoch  2, Batch    386, Loss  0.874855, Average Loss  0.875850, Time  0.447927
2021-09-24 23:58:20.264728 : Epoch  2, Batch     27, Loss  0.867751, Average Loss  0.882631, Time  0.446105
2021-09-24 23:58:25.255071 : Epoch  2, Batch    387, Loss  0.870360, Average Loss  0.875773, Time  0.446169
2021-09-24 23:58:26.338180 : Epoch  2, Batch     28, Loss  0.875627, Average Loss  0.882569, Time  0.466151
2021-09-24 23:58:31.373931 : Epoch  2, Batch    388, Loss  0.881656, Average Loss  0.875823, Time  0.447308
2021-09-24 23:58:32.407781 : Epoch  2, Batch     29, Loss  0.879381, Average Loss  0.882562, Time  0.445476
2021-09-24 23:58:37.521528 : Epoch  2, Batch    389, Loss  0.865062, Average Loss  0.875818, Time  0.449708
2021-09-24 23:58:38.483134 : Epoch  2, Batch     30, Loss  0.883846, Average Loss  0.882564, Time  0.449664
2021-09-24 23:58:43.636883 : Epoch  2, Batch    390, Loss  0.881630, Average Loss  0.875828, Time  0.459328
2021-09-24 23:58:44.582851 : Epoch  2, Batch     31, Loss  0.882905, Average Loss  0.882517, Time  0.448899
2021-09-24 23:58:49.748480 : Epoch  2, Batch    391, Loss  0.883024, Average Loss  0.875937, Time  0.451862
2021-09-24 23:58:50.644847 : Epoch  2, Batch     32, Loss  0.896646, Average Loss  0.882573, Time  0.446332
2021-09-24 23:58:55.841131 : Epoch  2, Batch    392, Loss  0.876572, Average Loss  0.875872, Time  0.446096
2021-09-24 23:58:56.731591 : Epoch  2, Batch     33, Loss  0.879525, Average Loss  0.882627, Time  0.449061
2021-09-24 23:59:01.974263 : Epoch  2, Batch    393, Loss  0.878685, Average Loss  0.875986, Time  0.448888
2021-09-24 23:59:02.830149 : Epoch  2, Batch     34, Loss  0.872726, Average Loss  0.882489, Time  0.446332
2021-09-24 23:59:08.087845 : Epoch  2, Batch    394, Loss  0.878292, Average Loss  0.876049, Time  0.452406
2021-09-24 23:59:08.909900 : Epoch  2, Batch     35, Loss  0.880793, Average Loss  0.882381, Time  0.446079
2021-09-24 23:59:14.188490 : Epoch  2, Batch    395, Loss  0.876849, Average Loss  0.876003, Time  0.448116
2021-09-24 23:59:14.992746 : Epoch  2, Batch     36, Loss  0.874321, Average Loss  0.882437, Time  0.459949
2021-09-24 23:59:20.291845 : Epoch  2, Batch    396, Loss  0.878761, Average Loss  0.876047, Time  0.448338
2021-09-24 23:59:21.064897 : Epoch  2, Batch     37, Loss  0.875899, Average Loss  0.882405, Time  0.451477
2021-09-24 23:59:26.389265 : Epoch  2, Batch    397, Loss  0.874628, Average Loss  0.876054, Time  0.446520
2021-09-24 23:59:27.136759 : Epoch  2, Batch     38, Loss  0.884489, Average Loss  0.882386, Time  0.445767
2021-09-24 23:59:32.509103 : Epoch  2, Batch    398, Loss  0.892638, Average Loss  0.876100, Time  0.453866
2021-09-24 23:59:33.204954 : Epoch  2, Batch     39, Loss  0.888152, Average Loss  0.882403, Time  0.445455
2021-09-24 23:59:38.611711 : Epoch  2, Batch    399, Loss  0.877231, Average Loss  0.876119, Time  0.446131
2021-09-24 23:59:39.273311 : Epoch  2, Batch     40, Loss  0.877112, Average Loss  0.882361, Time  0.445457
2021-09-24 23:59:44.712138 : Epoch  2, Batch    400, Loss  0.856657, Average Loss  0.876027, Time  0.448121
2021-09-24 23:59:45.328852 : Epoch  2, Batch     41, Loss  0.868565, Average Loss  0.882292, Time  0.446225
2021-09-24 23:59:50.818459 : Epoch  2, Batch    401, Loss  0.871218, Average Loss  0.875990, Time  0.448177
2021-09-24 23:59:51.388173 : Epoch  2, Batch     42, Loss  0.868533, Average Loss  0.882190, Time  0.447582
2021-09-24 23:59:56.918491 : Epoch  2, Batch    402, Loss  0.876183, Average Loss  0.876024, Time  0.447368
2021-09-24 23:59:57.463003 : Epoch  2, Batch     43, Loss  0.878058, Average Loss  0.882226, Time  0.457869
2021-09-25 00:00:03.035959 : Epoch  2, Batch    403, Loss  0.847887, Average Loss  0.875898, Time  0.448112
2021-09-25 00:00:03.529472 : Epoch  2, Batch     44, Loss  0.871145, Average Loss  0.882037, Time  0.448920
2021-09-25 00:00:09.154842 : Epoch  2, Batch    404, Loss  0.879678, Average Loss  0.875913, Time  0.448840
2021-09-25 00:00:09.602251 : Epoch  2, Batch     45, Loss  0.889460, Average Loss  0.882030, Time  0.446069
2021-09-25 00:00:15.293850 : Epoch  2, Batch    405, Loss  0.881907, Average Loss  0.875977, Time  0.459003
2021-09-25 00:00:15.670837 : Epoch  2, Batch     46, Loss  0.875130, Average Loss  0.881911, Time  0.448235
2021-09-25 00:00:21.404966 : Epoch  2, Batch    406, Loss  0.868968, Average Loss  0.875990, Time  0.450455
2021-09-25 00:00:21.740386 : Epoch  2, Batch     47, Loss  0.880352, Average Loss  0.881908, Time  0.447756
2021-09-25 00:00:27.509931 : Epoch  2, Batch    407, Loss  0.881238, Average Loss  0.876011, Time  0.449813
2021-09-25 00:00:27.823696 : Epoch  2, Batch     48, Loss  0.882544, Average Loss  0.881883, Time  0.446030
2021-09-25 00:00:33.621516 : Epoch  2, Batch    408, Loss  0.884567, Average Loss  0.876053, Time  0.447788
2021-09-25 00:00:33.881675 : Epoch  2, Batch     49, Loss  0.886545, Average Loss  0.881882, Time  0.445659
2021-09-25 00:00:39.736182 : Epoch  2, Batch    409, Loss  0.873554, Average Loss  0.875968, Time  0.450964
2021-09-25 00:00:39.942500 : Epoch  2, Batch     50, Loss  0.870467, Average Loss  0.881854, Time  0.447043
2021-09-25 00:00:45.845002 : Epoch  2, Batch    410, Loss  0.858127, Average Loss  0.875864, Time  0.447429
2021-09-25 00:00:46.030948 : Epoch  2, Batch     51, Loss  0.910316, Average Loss  0.882072, Time  0.461732
2021-09-25 00:00:51.950653 : Epoch  2, Batch    411, Loss  0.866825, Average Loss  0.875761, Time  0.448474
2021-09-25 00:00:52.101763 : Epoch  2, Batch     52, Loss  0.875571, Average Loss  0.881985, Time  0.447318
2021-09-25 00:00:58.056839 : Epoch  2, Batch    412, Loss  0.863729, Average Loss  0.875773, Time  0.446939
2021-09-25 00:00:58.168965 : Epoch  2, Batch     53, Loss  0.896459, Average Loss  0.881998, Time  0.447396
2021-09-25 00:01:04.182786 : Epoch  2, Batch    413, Loss  0.867343, Average Loss  0.875759, Time  0.460598
2021-09-25 00:01:04.254669 : Epoch  2, Batch     54, Loss  0.889884, Average Loss  0.881978, Time  0.446997
2021-09-25 00:01:10.283195 : Epoch  2, Batch    414, Loss  0.890614, Average Loss  0.875824, Time  0.446940
2021-09-25 00:01:10.335408 : Epoch  2, Batch     55, Loss  0.877090, Average Loss  0.881910, Time  0.447595
2021-09-25 00:01:16.379797 : Epoch  2, Batch    415, Loss  0.877342, Average Loss  0.875868, Time  0.448778
2021-09-25 00:01:16.418170 : Epoch  2, Batch     56, Loss  0.877709, Average Loss  0.881858, Time  0.447234
2021-09-25 00:01:22.473894 : Epoch  2, Batch    416, Loss  0.886895, Average Loss  0.875928, Time  0.448417
2021-09-25 00:01:22.510838 : Epoch  2, Batch     57, Loss  0.887331, Average Loss  0.881908, Time  0.445497
2021-09-25 00:01:28.573234 : Epoch  2, Batch     58, Loss  0.876012, Average Loss  0.881896, Time  0.452848
2021-09-25 00:01:28.601305 : Epoch  2, Batch    417, Loss  0.861846, Average Loss  0.875927, Time  0.448504
2021-09-25 00:01:34.633865 : Epoch  2, Batch     59, Loss  0.887654, Average Loss  0.881876, Time  0.446887
2021-09-25 00:01:34.718733 : Epoch  2, Batch    418, Loss  0.870344, Average Loss  0.875979, Time  0.447393
2021-09-25 00:01:40.699260 : Epoch  2, Batch     60, Loss  0.877742, Average Loss  0.881861, Time  0.446182
2021-09-25 00:01:40.836168 : Epoch  2, Batch    419, Loss  0.862978, Average Loss  0.875879, Time  0.445697
2021-09-25 00:01:46.759356 : Epoch  2, Batch     61, Loss  0.875338, Average Loss  0.881763, Time  0.446074
2021-09-25 00:01:46.963652 : Epoch  2, Batch    420, Loss  0.872224, Average Loss  0.875851, Time  0.467448
2021-09-25 00:01:52.851426 : Epoch  2, Batch     62, Loss  0.887183, Average Loss  0.881719, Time  0.450161
2021-09-25 00:01:53.059396 : Epoch  2, Batch    421, Loss  0.860297, Average Loss  0.875771, Time  0.446121
2021-09-25 00:01:58.932783 : Epoch  2, Batch     63, Loss  0.872870, Average Loss  0.881709, Time  0.446875
2021-09-25 00:01:59.179749 : Epoch  2, Batch    422, Loss  0.867753, Average Loss  0.875719, Time  0.445774
2021-09-25 00:02:05.012469 : Epoch  2, Batch     64, Loss  0.883106, Average Loss  0.881708, Time  0.448575
2021-09-25 00:02:05.280894 : Epoch  2, Batch    423, Loss  0.851639, Average Loss  0.875562, Time  0.447177
2021-09-25 00:02:11.076455 : Epoch  2, Batch     65, Loss  0.886310, Average Loss  0.881753, Time  0.447176
2021-09-25 00:02:11.389708 : Epoch  2, Batch    424, Loss  0.888245, Average Loss  0.875642, Time  0.445992
2021-09-25 00:02:17.156437 : Epoch  2, Batch     66, Loss  0.873532, Average Loss  0.881730, Time  0.457762
2021-09-25 00:02:17.500631 : Epoch  2, Batch    425, Loss  0.866151, Average Loss  0.875623, Time  0.449123
2021-09-25 00:02:23.221480 : Epoch  2, Batch     67, Loss  0.889185, Average Loss  0.881722, Time  0.447547
2021-09-25 00:02:23.619099 : Epoch  2, Batch    426, Loss  0.878600, Average Loss  0.875617, Time  0.450861
2021-09-25 00:02:29.286367 : Epoch  2, Batch     68, Loss  0.873135, Average Loss  0.881611, Time  0.446658
2021-09-25 00:02:29.724730 : Epoch  2, Batch    427, Loss  0.870849, Average Loss  0.875611, Time  0.446336
2021-09-25 00:02:35.352218 : Epoch  2, Batch     69, Loss  0.893942, Average Loss  0.881735, Time  0.449060
2021-09-25 00:02:35.847378 : Epoch  2, Batch    428, Loss  0.881778, Average Loss  0.875639, Time  0.461828
2021-09-25 00:02:41.430413 : Epoch  2, Batch     70, Loss  0.872214, Average Loss  0.881687, Time  0.455601
2021-09-25 00:02:41.949606 : Epoch  2, Batch    429, Loss  0.859986, Average Loss  0.875540, Time  0.447055
2021-09-25 00:02:47.504569 : Epoch  2, Batch     71, Loss  0.874339, Average Loss  0.881596, Time  0.445337
2021-09-25 00:02:48.051462 : Epoch  2, Batch    430, Loss  0.879618, Average Loss  0.875523, Time  0.445354
2021-09-25 00:02:54.162627 : Epoch  2, Batch    431, Loss  0.877144, Average Loss  0.875542, Time  0.449458
2021-09-25 00:03:00.316038 : Epoch  2, Batch    432, Loss  0.877422, Average Loss  0.875572, Time  0.451414
2021-09-25 00:03:02.642969 : Epoch  2, Batch     72, Loss  0.887533, Average Loss  0.881707, Time  0.459156
2021-09-25 00:03:06.469508 : Epoch  2, Batch    433, Loss  0.857253, Average Loss  0.875512, Time  0.448051
2021-09-25 00:03:12.596402 : Epoch  2, Batch    434, Loss  0.873916, Average Loss  0.875478, Time  0.450048
2021-09-25 00:03:18.723148 : Epoch  2, Batch    435, Loss  0.874275, Average Loss  0.875384, Time  0.458389
2021-09-25 00:03:24.836885 : Epoch  2, Batch    436, Loss  0.878962, Average Loss  0.875390, Time  0.446648
2021-09-25 00:03:30.960094 : Epoch  2, Batch    437, Loss  0.872856, Average Loss  0.875407, Time  0.448542
2021-09-25 00:03:37.053316 : Epoch  2, Batch    438, Loss  0.873457, Average Loss  0.875429, Time  0.446738
2021-09-25 00:03:43.149359 : Epoch  2, Batch    439, Loss  0.872002, Average Loss  0.875342, Time  0.446155
2021-09-25 00:03:49.261896 : Epoch  2, Batch    440, Loss  0.861894, Average Loss  0.875286, Time  0.451705
2021-09-25 00:03:55.377155 : Epoch  2, Batch    441, Loss  0.857504, Average Loss  0.875158, Time  0.446584
2021-09-25 00:04:01.498931 : Epoch  2, Batch    442, Loss  0.865920, Average Loss  0.875130, Time  0.451151
2021-09-25 00:04:07.633372 : Epoch  2, Batch    443, Loss  0.869067, Average Loss  0.875000, Time  0.461993
2021-09-25 00:04:13.738828 : Epoch  2, Batch    444, Loss  0.880690, Average Loss  0.874994, Time  0.451627
2021-09-25 00:04:19.845931 : Epoch  2, Batch    445, Loss  0.870317, Average Loss  0.874998, Time  0.447240
2021-09-25 00:04:25.968687 : Epoch  2, Batch    446, Loss  0.876649, Average Loss  0.875057, Time  0.449538
2021-09-25 00:04:32.087851 : Epoch  2, Batch    447, Loss  0.872752, Average Loss  0.875028, Time  0.447546
2021-09-25 00:04:38.214963 : Epoch  2, Batch    448, Loss  0.870957, Average Loss  0.875032, Time  0.447815
2021-09-25 00:04:44.320596 : Epoch  2, Batch    449, Loss  0.868972, Average Loss  0.874961, Time  0.447293
2021-09-25 00:04:50.453666 : Epoch  2, Batch    450, Loss  0.865881, Average Loss  0.874850, Time  0.461778
2021-09-25 00:04:56.559153 : Epoch  2, Batch    451, Loss  0.864378, Average Loss  0.874808, Time  0.447307
2021-09-25 00:05:02.682658 : Epoch  2, Batch    452, Loss  0.871761, Average Loss  0.874774, Time  0.449951
2021-09-25 00:05:08.811459 : Epoch  2, Batch    453, Loss  0.877182, Average Loss  0.874827, Time  0.449506
2021-09-25 00:05:14.924371 : Epoch  2, Batch    454, Loss  0.887191, Average Loss  0.874856, Time  0.447453
2021-09-25 00:05:21.032363 : Epoch  2, Batch    455, Loss  0.893686, Average Loss  0.874901, Time  0.451343
2021-09-25 00:05:27.155701 : Epoch  2, Batch    456, Loss  0.880704, Average Loss  0.874858, Time  0.448395
2021-09-25 00:05:33.263952 : Epoch  2, Batch    457, Loss  0.876479, Average Loss  0.874836, Time  0.447999
2021-09-25 00:05:39.380694 : Epoch  2, Batch    458, Loss  0.872729, Average Loss  0.874823, Time  0.463903
2021-09-25 00:05:45.487767 : Epoch  2, Batch    459, Loss  0.876466, Average Loss  0.874828, Time  0.449928
2021-09-25 00:05:51.583005 : Epoch  2, Batch    460, Loss  0.885993, Average Loss  0.874877, Time  0.446113
2021-09-25 00:05:57.675631 : Epoch  2, Batch    461, Loss  0.881474, Average Loss  0.874961, Time  0.445928
2021-09-25 00:06:03.779003 : Epoch  2, Batch    462, Loss  0.863251, Average Loss  0.874955, Time  0.449338
2021-09-25 00:06:09.917304 : Epoch  2, Batch    463, Loss  0.873008, Average Loss  0.874955, Time  0.448423
2021-09-25 00:06:16.025743 : Epoch  2, Batch    464, Loss  0.872411, Average Loss  0.874931, Time  0.447229
2021-09-25 00:06:22.150203 : Epoch  2, Batch    465, Loss  0.878355, Average Loss  0.874925, Time  0.463361
2021-09-25 00:06:28.280637 : Epoch  2, Batch    466, Loss  0.862632, Average Loss  0.874912, Time  0.449470
2021-09-25 00:06:34.402188 : Epoch  2, Batch    467, Loss  0.867536, Average Loss  0.874859, Time  0.447951
2021-09-25 00:06:40.512767 : Epoch  2, Batch    468, Loss  0.877523, Average Loss  0.874898, Time  0.447900
2021-09-25 00:06:46.619423 : Epoch  2, Batch    469, Loss  0.864221, Average Loss  0.874780, Time  0.446234
2021-09-25 00:06:52.731247 : Epoch  2, Batch    470, Loss  0.860785, Average Loss  0.874730, Time  0.447850
2021-09-25 00:06:58.846483 : Epoch  2, Batch    471, Loss  0.876493, Average Loss  0.874719, Time  0.448642
2021-09-25 00:07:04.971424 : Epoch  2, Batch    472, Loss  0.879625, Average Loss  0.874713, Time  0.447771
2021-09-25 00:07:54.925208 : CheckPoint: Validation Loss  0.00015342, Best Loss  0.00014958
2021-09-25 00:08:01.046851 : Epoch  2, Batch     73, Loss  0.887127, Average Loss  0.881730, Time  0.451349
2021-09-25 00:08:07.126380 : Epoch  2, Batch     74, Loss  0.876680, Average Loss  0.881621, Time  0.446907
2021-09-25 00:08:13.198953 : Epoch  2, Batch     75, Loss  0.878081, Average Loss  0.881622, Time  0.448065
2021-09-25 00:08:19.330348 : Epoch  2, Batch     76, Loss  0.872156, Average Loss  0.881561, Time  0.446528
2021-09-25 00:08:25.434901 : Epoch  2, Batch     77, Loss  0.893308, Average Loss  0.881551, Time  0.463280
2021-09-25 00:08:31.529885 : Epoch  2, Batch     78, Loss  0.876640, Average Loss  0.881470, Time  0.454031
2021-09-25 00:08:37.624902 : Epoch  2, Batch     79, Loss  0.871271, Average Loss  0.881459, Time  0.453925
2021-09-25 00:08:43.688499 : Epoch  2, Batch     80, Loss  0.868726, Average Loss  0.881380, Time  0.445995
2021-09-25 00:08:49.767029 : Epoch  2, Batch     81, Loss  0.863114, Average Loss  0.881260, Time  0.448174
2021-09-25 00:08:55.838899 : Epoch  2, Batch     82, Loss  0.883451, Average Loss  0.881242, Time  0.447620
2021-09-25 00:09:01.905839 : Epoch  2, Batch     83, Loss  0.876241, Average Loss  0.881222, Time  0.446556
2021-09-25 00:09:07.998443 : Epoch  2, Batch     84, Loss  0.883595, Average Loss  0.881185, Time  0.445266
2021-09-25 00:09:14.069984 : Epoch  2, Batch     85, Loss  0.877887, Average Loss  0.881155, Time  0.459873
2021-09-25 00:09:20.124714 : Epoch  2, Batch     86, Loss  0.878629, Average Loss  0.881112, Time  0.446154
2021-09-25 00:09:26.212369 : Epoch  2, Batch     87, Loss  0.866898, Average Loss  0.881064, Time  0.446105
2021-09-25 00:09:32.294475 : Epoch  2, Batch     88, Loss  0.880728, Average Loss  0.881091, Time  0.447942
2021-09-25 00:09:38.365737 : Epoch  2, Batch     89, Loss  0.873439, Average Loss  0.881044, Time  0.446280
2021-09-25 00:09:44.453640 : Epoch  2, Batch     90, Loss  0.880009, Average Loss  0.881067, Time  0.446200
2021-09-25 00:09:50.522790 : Epoch  2, Batch     91, Loss  0.879916, Average Loss  0.881147, Time  0.446047
2021-09-25 00:09:56.612381 : Epoch  2, Batch     92, Loss  0.880337, Average Loss  0.881172, Time  0.454845
2021-09-25 00:10:02.670670 : Epoch  2, Batch     93, Loss  0.870043, Average Loss  0.881056, Time  0.449462
2021-09-25 00:10:08.736498 : Epoch  2, Batch     94, Loss  0.876476, Average Loss  0.881047, Time  0.445340
2021-09-25 00:10:14.805143 : Epoch  2, Batch     95, Loss  0.878734, Average Loss  0.881072, Time  0.446360
2021-09-25 00:10:20.881809 : Epoch  2, Batch     96, Loss  0.890652, Average Loss  0.881089, Time  0.447409
2021-09-25 00:10:26.981853 : Epoch  2, Batch     97, Loss  0.888673, Average Loss  0.881076, Time  0.449347
2021-09-25 00:10:33.074021 : Epoch  2, Batch     98, Loss  0.863946, Average Loss  0.880937, Time  0.449854
2021-09-25 00:10:39.171845 : Epoch  2, Batch     99, Loss  0.871499, Average Loss  0.880908, Time  0.450558
2021-09-25 00:10:45.257850 : Epoch  2, Batch    100, Loss  0.883332, Average Loss  0.880900, Time  0.457994
2021-09-25 00:10:51.327846 : Epoch  2, Batch    101, Loss  0.880590, Average Loss  0.880961, Time  0.449181
2021-09-25 00:10:57.448403 : Epoch  2, Batch    102, Loss  0.877718, Average Loss  0.880889, Time  0.447422
2021-09-25 00:11:03.526115 : Epoch  2, Batch    103, Loss  0.881716, Average Loss  0.880946, Time  0.446810
2021-09-25 00:11:09.596250 : Epoch  2, Batch    104, Loss  0.878445, Average Loss  0.880910, Time  0.448451
2021-09-25 00:11:15.668343 : Epoch  2, Batch    105, Loss  0.884136, Average Loss  0.880925, Time  0.446338
2021-09-25 00:11:21.739626 : Epoch  2, Batch    106, Loss  0.872566, Average Loss  0.880906, Time  0.445632
2021-09-25 00:11:27.828519 : Epoch  2, Batch    107, Loss  0.885328, Average Loss  0.880970, Time  0.464004
2021-09-25 00:11:33.900442 : Epoch  2, Batch    108, Loss  0.876020, Average Loss  0.880912, Time  0.447510
2021-09-25 00:11:39.984052 : Epoch  2, Batch    109, Loss  0.865469, Average Loss  0.880744, Time  0.447647
2021-09-25 00:11:46.050954 : Epoch  2, Batch    110, Loss  0.870673, Average Loss  0.880750, Time  0.446324
2021-09-25 00:11:52.122520 : Epoch  2, Batch    111, Loss  0.877617, Average Loss  0.880635, Time  0.445979
2021-09-25 00:11:55.613886 : CheckPoint: Validation Loss  0.00015093, Best Loss  0.00014886
2021-09-25 00:11:58.198659 : Epoch  2, Batch    112, Loss  0.892102, Average Loss  0.880686, Time  0.446014
2021-09-25 00:12:01.725260 : Epoch  2, Batch    473, Loss  0.859314, Average Loss  0.874563, Time  0.452229
2021-09-25 00:12:04.253499 : Epoch  2, Batch    113, Loss  0.879586, Average Loss  0.880660, Time  0.446357
2021-09-25 00:12:07.831512 : Epoch  2, Batch    474, Loss  0.877345, Average Loss  0.874581, Time  0.446475
2021-09-25 00:12:10.315908 : Epoch  2, Batch    114, Loss  0.880125, Average Loss  0.880661, Time  0.449490
2021-09-25 00:12:13.933390 : Epoch  2, Batch    475, Loss  0.852641, Average Loss  0.874464, Time  0.446067
2021-09-25 00:12:16.397259 : Epoch  2, Batch    115, Loss  0.882468, Average Loss  0.880668, Time  0.462143
2021-09-25 00:12:20.059202 : Epoch  2, Batch    476, Loss  0.864601, Average Loss  0.874377, Time  0.446868
2021-09-25 00:12:22.465879 : Epoch  2, Batch    116, Loss  0.887861, Average Loss  0.880673, Time  0.448744
2021-09-25 00:12:26.174205 : Epoch  2, Batch    477, Loss  0.877250, Average Loss  0.874429, Time  0.448848
2021-09-25 00:12:28.520771 : Epoch  2, Batch    117, Loss  0.875826, Average Loss  0.880670, Time  0.447766
2021-09-25 00:12:32.301103 : Epoch  2, Batch    478, Loss  0.875883, Average Loss  0.874400, Time  0.458207
2021-09-25 00:12:34.586099 : Epoch  2, Batch    118, Loss  0.873229, Average Loss  0.880536, Time  0.449792
2021-09-25 00:12:38.399312 : Epoch  2, Batch    479, Loss  0.876865, Average Loss  0.874484, Time  0.447282
2021-09-25 00:12:40.654805 : Epoch  2, Batch    119, Loss  0.884015, Average Loss  0.880618, Time  0.448135
2021-09-25 00:12:44.511511 : Epoch  2, Batch    480, Loss  0.867769, Average Loss  0.874407, Time  0.446228
2021-09-25 00:12:46.693045 : Epoch  2, Batch    120, Loss  0.887479, Average Loss  0.880629, Time  0.446560
2021-09-25 00:12:50.608463 : Epoch  2, Batch    481, Loss  0.878879, Average Loss  0.874388, Time  0.446678
2021-09-25 00:12:52.734947 : Epoch  2, Batch    121, Loss  0.874517, Average Loss  0.880561, Time  0.445491
2021-09-25 00:12:56.719982 : Epoch  2, Batch    482, Loss  0.879543, Average Loss  0.874407, Time  0.446234
2021-09-25 00:12:58.809943 : Epoch  2, Batch    122, Loss  0.888164, Average Loss  0.880537, Time  0.463222
2021-09-25 00:13:02.839453 : Epoch  2, Batch    483, Loss  0.884219, Average Loss  0.874487, Time  0.446493
2021-09-25 00:13:04.862687 : Epoch  2, Batch    123, Loss  0.880579, Average Loss  0.880528, Time  0.445793
2021-09-25 00:13:08.946540 : Epoch  2, Batch    484, Loss  0.877337, Average Loss  0.874462, Time  0.446782
2021-09-25 00:13:10.934371 : Epoch  2, Batch    124, Loss  0.890205, Average Loss  0.880575, Time  0.445480
2021-09-25 00:13:15.061504 : Epoch  2, Batch    485, Loss  0.861352, Average Loss  0.874399, Time  0.447315
2021-09-25 00:13:17.004968 : Epoch  2, Batch    125, Loss  0.886404, Average Loss  0.880631, Time  0.449658
2021-09-25 00:13:21.199967 : Epoch  2, Batch    486, Loss  0.879629, Average Loss  0.874498, Time  0.463623
2021-09-25 00:13:23.067750 : Epoch  2, Batch    126, Loss  0.877771, Average Loss  0.880538, Time  0.447648
2021-09-25 00:13:27.331570 : Epoch  2, Batch    487, Loss  0.887551, Average Loss  0.874529, Time  0.453612
2021-09-25 00:13:29.126996 : Epoch  2, Batch    127, Loss  0.888268, Average Loss  0.880552, Time  0.445863
2021-09-25 00:13:33.493067 : Epoch  2, Batch    488, Loss  0.882558, Average Loss  0.874601, Time  0.447422
2021-09-25 00:13:35.203178 : Epoch  2, Batch    128, Loss  0.878908, Average Loss  0.880589, Time  0.447709
2021-09-25 00:13:39.631691 : Epoch  2, Batch    489, Loss  0.859314, Average Loss  0.874554, Time  0.450025
2021-09-25 00:13:41.282533 : Epoch  2, Batch    129, Loss  0.885275, Average Loss  0.880666, Time  0.448227
2021-09-25 00:13:45.775950 : Epoch  2, Batch    490, Loss  0.869902, Average Loss  0.874497, Time  0.449176
2021-09-25 00:13:47.366193 : Epoch  2, Batch    130, Loss  0.867695, Average Loss  0.880572, Time  0.456859
2021-09-25 00:13:51.903125 : Epoch  2, Batch    491, Loss  0.865279, Average Loss  0.874442, Time  0.454463
2021-09-25 00:13:53.439119 : Epoch  2, Batch    131, Loss  0.882258, Average Loss  0.880541, Time  0.447302
2021-09-25 00:13:58.033166 : Epoch  2, Batch    492, Loss  0.867129, Average Loss  0.874405, Time  0.447353
2021-09-25 00:13:59.520353 : Epoch  2, Batch    132, Loss  0.862489, Average Loss  0.880465, Time  0.446465
2021-09-25 00:14:04.202545 : Epoch  2, Batch    493, Loss  0.876363, Average Loss  0.874346, Time  0.461727
2021-09-25 00:14:05.587898 : Epoch  2, Batch    133, Loss  0.884681, Average Loss  0.880577, Time  0.445689
2021-09-25 00:14:10.341594 : Epoch  2, Batch    494, Loss  0.890980, Average Loss  0.874497, Time  0.458850
2021-09-25 00:14:11.652523 : Epoch  2, Batch    134, Loss  0.876945, Average Loss  0.880535, Time  0.446088
2021-09-25 00:14:16.464019 : Epoch  2, Batch    495, Loss  0.868860, Average Loss  0.874521, Time  0.447142
2021-09-25 00:14:17.734258 : Epoch  2, Batch    135, Loss  0.884572, Average Loss  0.880615, Time  0.446740
2021-09-25 00:14:22.585596 : Epoch  2, Batch    496, Loss  0.863047, Average Loss  0.874417, Time  0.446186
2021-09-25 00:14:23.832975 : Epoch  2, Batch    136, Loss  0.873037, Average Loss  0.880518, Time  0.454639
2021-09-25 00:14:28.726032 : Epoch  2, Batch    497, Loss  0.895620, Average Loss  0.874444, Time  0.451506
2021-09-25 00:14:29.926919 : Epoch  2, Batch    137, Loss  0.871916, Average Loss  0.880535, Time  0.459940
2021-09-25 00:14:34.837431 : Epoch  2, Batch    498, Loss  0.882886, Average Loss  0.874487, Time  0.448305
2021-09-25 00:14:36.047318 : Epoch  2, Batch    138, Loss  0.881919, Average Loss  0.880495, Time  0.448420
2021-09-25 00:14:40.965188 : Epoch  2, Batch    499, Loss  0.879640, Average Loss  0.874484, Time  0.450012
2021-09-25 00:14:42.101951 : Epoch  2, Batch    139, Loss  0.871573, Average Loss  0.880463, Time  0.447315
2021-09-25 00:14:47.087745 : Epoch  2, Batch    500, Loss  0.873523, Average Loss  0.874413, Time  0.446355
2021-09-25 00:14:48.168105 : Epoch  2, Batch    140, Loss  0.873237, Average Loss  0.880465, Time  0.449135
2021-09-25 00:14:53.240004 : Epoch  2, Batch    501, Loss  0.885070, Average Loss  0.874473, Time  0.458300
2021-09-25 00:14:54.249669 : Epoch  2, Batch    141, Loss  0.885942, Average Loss  0.880487, Time  0.450076
2021-09-25 00:14:59.367204 : Epoch  2, Batch    502, Loss  0.863837, Average Loss  0.874400, Time  0.447752
2021-09-25 00:15:00.324387 : Epoch  2, Batch    142, Loss  0.885247, Average Loss  0.880547, Time  0.446160
2021-09-25 00:15:05.483774 : Epoch  2, Batch    503, Loss  0.890289, Average Loss  0.874482, Time  0.450547
2021-09-25 00:15:06.387505 : Epoch  2, Batch    143, Loss  0.884095, Average Loss  0.880515, Time  0.445017
2021-09-25 00:15:11.615242 : Epoch  2, Batch    504, Loss  0.890781, Average Loss  0.874674, Time  0.446584
2021-09-25 00:15:12.456121 : Epoch  2, Batch    144, Loss  0.876530, Average Loss  0.880560, Time  0.446330
2021-09-25 00:15:17.739794 : Epoch  2, Batch    505, Loss  0.879176, Average Loss  0.874738, Time  0.448574
2021-09-25 00:15:18.535285 : Epoch  2, Batch    145, Loss  0.871081, Average Loss  0.880519, Time  0.462581
2021-09-25 00:15:23.873624 : Epoch  2, Batch    506, Loss  0.874518, Average Loss  0.874732, Time  0.449062
2021-09-25 00:15:24.620200 : Epoch  2, Batch    146, Loss  0.863085, Average Loss  0.880443, Time  0.446941
2021-09-25 00:15:29.984888 : Epoch  2, Batch    507, Loss  0.875016, Average Loss  0.874712, Time  0.446405
2021-09-25 00:15:30.691025 : Epoch  2, Batch    147, Loss  0.885493, Average Loss  0.880393, Time  0.447263
2021-09-25 00:15:36.110872 : Epoch  2, Batch    508, Loss  0.863624, Average Loss  0.874636, Time  0.458209
2021-09-25 00:15:36.756895 : Epoch  2, Batch    148, Loss  0.880194, Average Loss  0.880428, Time  0.447385
2021-09-25 00:15:42.200209 : Epoch  2, Batch    509, Loss  0.885022, Average Loss  0.874692, Time  0.447538
2021-09-25 00:15:42.826038 : Epoch  2, Batch    149, Loss  0.878042, Average Loss  0.880388, Time  0.446223
2021-09-25 00:15:48.316534 : Epoch  2, Batch    510, Loss  0.881893, Average Loss  0.874764, Time  0.448289
2021-09-25 00:15:48.902851 : Epoch  2, Batch    150, Loss  0.865809, Average Loss  0.880324, Time  0.446205
2021-09-25 00:15:54.467849 : Epoch  2, Batch    511, Loss  0.893776, Average Loss  0.874892, Time  0.452332
2021-09-25 00:15:54.988401 : Epoch  2, Batch    151, Loss  0.869869, Average Loss  0.880205, Time  0.446486
2021-09-25 00:16:00.597751 : Epoch  2, Batch    512, Loss  0.890780, Average Loss  0.875011, Time  0.446945
2021-09-25 00:16:01.077977 : Epoch  2, Batch    152, Loss  0.880798, Average Loss  0.880173, Time  0.455579
2021-09-25 00:16:06.726299 : Epoch  2, Batch    513, Loss  0.870853, Average Loss  0.874968, Time  0.450263
2021-09-25 00:16:07.148052 : Epoch  2, Batch    153, Loss  0.887372, Average Loss  0.880171, Time  0.447267
2021-09-25 00:16:12.847475 : Epoch  2, Batch    514, Loss  0.875641, Average Loss  0.874961, Time  0.450018
2021-09-25 00:16:13.198405 : Epoch  2, Batch    154, Loss  0.876514, Average Loss  0.880104, Time  0.445742
2021-09-25 00:16:18.968921 : Epoch  2, Batch    515, Loss  0.864556, Average Loss  0.874893, Time  0.446570
2021-09-25 00:16:19.266405 : Epoch  2, Batch    155, Loss  0.866892, Average Loss  0.879990, Time  0.448295
2021-09-25 00:16:25.109716 : Epoch  2, Batch    516, Loss  0.886969, Average Loss  0.874985, Time  0.460041
2021-09-25 00:16:25.332799 : Epoch  2, Batch    156, Loss  0.856429, Average Loss  0.879834, Time  0.448119
2021-09-25 00:16:31.225018 : Epoch  2, Batch    517, Loss  0.862332, Average Loss  0.874948, Time  0.457701
2021-09-25 00:16:31.414645 : Epoch  2, Batch    157, Loss  0.868261, Average Loss  0.879754, Time  0.448219
2021-09-25 00:16:37.352834 : Epoch  2, Batch    518, Loss  0.893174, Average Loss  0.875030, Time  0.448515
2021-09-25 00:16:37.479564 : Epoch  2, Batch    158, Loss  0.884210, Average Loss  0.879824, Time  0.446345
2021-09-25 00:16:43.474276 : Epoch  2, Batch    519, Loss  0.876722, Average Loss  0.875040, Time  0.446761
2021-09-25 00:16:43.542065 : Epoch  2, Batch    159, Loss  0.882903, Average Loss  0.879854, Time  0.446238
2021-09-25 00:16:49.574654 : Epoch  2, Batch    520, Loss  0.861892, Average Loss  0.874905, Time  0.446665
2021-09-25 00:16:49.648783 : Epoch  2, Batch    160, Loss  0.869882, Average Loss  0.879795, Time  0.461318
2021-09-25 00:16:55.712069 : Epoch  2, Batch    521, Loss  0.888108, Average Loss  0.875029, Time  0.453188
2021-09-25 00:16:55.761164 : Epoch  2, Batch    161, Loss  0.883543, Average Loss  0.879781, Time  0.446143
2021-09-25 00:17:01.834967 : Epoch  2, Batch    162, Loss  0.878390, Average Loss  0.879776, Time  0.449864
2021-09-25 00:17:01.910058 : Epoch  2, Batch    522, Loss  0.887878, Average Loss  0.875088, Time  0.447399
2021-09-25 00:17:07.899673 : Epoch  2, Batch    163, Loss  0.879972, Average Loss  0.879764, Time  0.446784
2021-09-25 00:17:08.062408 : Epoch  2, Batch    523, Loss  0.890035, Average Loss  0.875074, Time  0.459956
2021-09-25 00:17:13.979512 : Epoch  2, Batch    164, Loss  0.879194, Average Loss  0.879815, Time  0.446095
2021-09-25 00:17:14.209205 : Epoch  2, Batch    524, Loss  0.880789, Average Loss  0.875072, Time  0.445957
2021-09-25 00:17:20.032817 : Epoch  2, Batch    165, Loss  0.883484, Average Loss  0.879847, Time  0.448469
2021-09-25 00:17:20.325996 : Epoch  2, Batch    525, Loss  0.873675, Average Loss  0.875059, Time  0.449762
2021-09-25 00:17:26.106814 : Epoch  2, Batch    166, Loss  0.871997, Average Loss  0.879817, Time  0.447886
2021-09-25 00:17:26.468487 : Epoch  2, Batch    526, Loss  0.865635, Average Loss  0.874874, Time  0.451104
2021-09-25 00:17:32.169880 : Epoch  2, Batch    167, Loss  0.872943, Average Loss  0.879803, Time  0.455468
2021-09-25 00:17:32.588567 : Epoch  2, Batch    527, Loss  0.864426, Average Loss  0.874840, Time  0.447449
2021-09-25 00:17:38.229828 : Epoch  2, Batch    168, Loss  0.880704, Average Loss  0.879767, Time  0.448051
2021-09-25 00:17:38.706829 : Epoch  2, Batch    528, Loss  0.886806, Average Loss  0.874872, Time  0.445823
2021-09-25 00:17:44.275863 : Epoch  2, Batch    169, Loss  0.877680, Average Loss  0.879615, Time  0.445771
2021-09-25 00:17:44.812504 : Epoch  2, Batch    529, Loss  0.880343, Average Loss  0.874920, Time  0.447015
2021-09-25 00:17:50.336087 : Epoch  2, Batch    170, Loss  0.880502, Average Loss  0.879635, Time  0.445522
2021-09-25 00:17:50.902994 : Epoch  2, Batch    530, Loss  0.869745, Average Loss  0.874921, Time  0.446055
2021-09-25 00:17:56.409062 : Epoch  2, Batch    171, Loss  0.882987, Average Loss  0.879644, Time  0.445639
2021-09-25 00:17:57.024138 : Epoch  2, Batch    531, Loss  0.869961, Average Loss  0.874848, Time  0.459819
2021-09-25 00:18:02.484778 : Epoch  2, Batch    172, Loss  0.889507, Average Loss  0.879763, Time  0.454268
2021-09-25 00:18:03.182844 : Epoch  2, Batch    532, Loss  0.872111, Average Loss  0.874794, Time  0.449750
2021-09-25 00:18:09.345378 : Epoch  2, Batch    533, Loss  0.875440, Average Loss  0.874876, Time  0.452790
2021-09-25 00:18:15.492200 : Epoch  2, Batch    534, Loss  0.877224, Average Loss  0.874897, Time  0.447642
2021-09-25 00:18:21.600195 : Epoch  2, Batch    535, Loss  0.880556, Average Loss  0.874903, Time  0.447731
2021-09-25 00:18:27.707117 : Epoch  2, Batch    536, Loss  0.869730, Average Loss  0.874877, Time  0.446213
2021-09-25 00:18:33.814537 : Epoch  2, Batch    537, Loss  0.858844, Average Loss  0.874756, Time  0.449176
2021-09-25 00:18:39.940057 : Epoch  2, Batch    538, Loss  0.899260, Average Loss  0.874862, Time  0.460372
2021-09-25 00:18:46.054817 : Epoch  2, Batch    539, Loss  0.864582, Average Loss  0.874758, Time  0.448333
2021-09-25 00:18:52.173060 : Epoch  2, Batch    540, Loss  0.872989, Average Loss  0.874733, Time  0.446506
2021-09-25 00:18:58.286683 : Epoch  2, Batch    541, Loss  0.864479, Average Loss  0.874685, Time  0.448734
2021-09-25 00:19:04.425566 : Epoch  2, Batch    542, Loss  0.861986, Average Loss  0.874587, Time  0.449661
2021-09-25 00:19:10.574002 : Epoch  2, Batch    543, Loss  0.891183, Average Loss  0.874624, Time  0.451933
2021-09-25 00:19:16.720236 : Epoch  2, Batch    544, Loss  0.859971, Average Loss  0.874568, Time  0.453014
2021-09-25 00:19:22.862431 : Epoch  2, Batch    545, Loss  0.863077, Average Loss  0.874589, Time  0.449277
2021-09-25 00:19:28.973546 : Epoch  2, Batch    546, Loss  0.880966, Average Loss  0.874550, Time  0.457633
2021-09-25 00:19:35.120282 : Epoch  2, Batch    547, Loss  0.868049, Average Loss  0.874464, Time  0.457006
2021-09-25 00:19:41.233106 : Epoch  2, Batch    548, Loss  0.871519, Average Loss  0.874462, Time  0.447429
2021-09-25 00:19:47.351386 : Epoch  2, Batch    549, Loss  0.862969, Average Loss  0.874423, Time  0.446371
2021-09-25 00:19:53.478834 : Epoch  2, Batch    550, Loss  0.868628, Average Loss  0.874268, Time  0.447772
2021-09-25 00:19:59.586206 : Epoch  2, Batch    551, Loss  0.871847, Average Loss  0.874231, Time  0.446040
2021-09-25 00:20:05.705821 : Epoch  2, Batch    552, Loss  0.872216, Average Loss  0.874215, Time  0.446546
2021-09-25 00:20:11.835881 : Epoch  2, Batch    553, Loss  0.864120, Average Loss  0.874138, Time  0.462299
2021-09-25 00:20:17.939155 : Epoch  2, Batch    554, Loss  0.867487, Average Loss  0.874047, Time  0.447944
2021-09-25 00:20:24.069849 : Epoch  2, Batch    555, Loss  0.862644, Average Loss  0.873928, Time  0.447948
2021-09-25 00:20:30.155820 : Epoch  2, Batch    556, Loss  0.888883, Average Loss  0.874052, Time  0.446154
2021-09-25 00:20:36.269789 : Epoch  2, Batch    557, Loss  0.869525, Average Loss  0.874106, Time  0.446041
2021-09-25 00:20:42.382150 : Epoch  2, Batch    558, Loss  0.868065, Average Loss  0.874123, Time  0.447266
2021-09-25 00:20:48.476208 : Epoch  2, Batch    559, Loss  0.862471, Average Loss  0.874080, Time  0.450154
2021-09-25 00:20:54.588463 : Epoch  2, Batch    560, Loss  0.868134, Average Loss  0.874100, Time  0.446126
2021-09-25 00:21:00.703866 : Epoch  2, Batch    561, Loss  0.877191, Average Loss  0.874089, Time  0.457495
2021-09-25 00:21:06.864351 : Epoch  2, Batch    562, Loss  0.875350, Average Loss  0.874111, Time  0.448807
2021-09-25 00:21:12.993477 : Epoch  2, Batch    563, Loss  0.884157, Average Loss  0.874110, Time  0.451469
2021-09-25 00:21:19.116210 : Epoch  2, Batch    564, Loss  0.878141, Average Loss  0.874135, Time  0.447779
2021-09-25 00:21:25.230745 : Epoch  2, Batch    565, Loss  0.870481, Average Loss  0.874063, Time  0.446370
2021-09-25 00:21:31.357824 : Epoch  2, Batch    566, Loss  0.865045, Average Loss  0.874000, Time  0.448097
2021-09-25 00:21:37.473905 : Epoch  2, Batch    567, Loss  0.865981, Average Loss  0.873972, Time  0.447180
2021-09-25 00:21:43.598362 : Epoch  2, Batch    568, Loss  0.867261, Average Loss  0.873949, Time  0.461330
2021-09-25 00:21:49.732777 : Epoch  2, Batch    569, Loss  0.867402, Average Loss  0.873907, Time  0.445823
2021-09-25 00:21:55.852879 : Epoch  2, Batch    570, Loss  0.875854, Average Loss  0.873884, Time  0.446477
2021-09-25 00:22:01.953389 : Epoch  2, Batch    571, Loss  0.890470, Average Loss  0.873960, Time  0.446697
2021-09-25 00:22:08.100440 : Epoch  2, Batch    572, Loss  0.896423, Average Loss  0.874023, Time  0.447836
2021-09-25 00:22:49.775391 : CheckPoint: Validation Loss  0.00015352, Best Loss  0.00014958
2021-09-25 00:22:55.804195 : Epoch  2, Batch    173, Loss  0.872989, Average Loss  0.879688, Time  0.462487
2021-09-25 00:23:01.835827 : Epoch  2, Batch    174, Loss  0.891339, Average Loss  0.879731, Time  0.449493
2021-09-25 00:23:07.863861 : Epoch  2, Batch    175, Loss  0.883014, Average Loss  0.879792, Time  0.445667
2021-09-25 00:23:13.905645 : Epoch  2, Batch    176, Loss  0.888262, Average Loss  0.879741, Time  0.446671
2021-09-25 00:23:19.930969 : Epoch  2, Batch    177, Loss  0.883446, Average Loss  0.879769, Time  0.449100
2021-09-25 00:23:25.957901 : Epoch  2, Batch    178, Loss  0.873210, Average Loss  0.879742, Time  0.446793
2021-09-25 00:23:31.987209 : Epoch  2, Batch    179, Loss  0.874543, Average Loss  0.879737, Time  0.445862
2021-09-25 00:23:38.027468 : Epoch  2, Batch    180, Loss  0.872237, Average Loss  0.879763, Time  0.458021
2021-09-25 00:23:44.053336 : Epoch  2, Batch    181, Loss  0.882294, Average Loss  0.879817, Time  0.445749
2021-09-25 00:23:50.090914 : Epoch  2, Batch    182, Loss  0.870501, Average Loss  0.879823, Time  0.445361
2021-09-25 00:23:56.126157 : Epoch  2, Batch    183, Loss  0.880643, Average Loss  0.879806, Time  0.445825
2021-09-25 00:24:02.157957 : Epoch  2, Batch    184, Loss  0.889724, Average Loss  0.879679, Time  0.449242
2021-09-25 00:24:08.183500 : Epoch  2, Batch    185, Loss  0.882818, Average Loss  0.879671, Time  0.447556
2021-09-25 00:24:14.215863 : Epoch  2, Batch    186, Loss  0.883335, Average Loss  0.879623, Time  0.447922
2021-09-25 00:24:20.249200 : Epoch  2, Batch    187, Loss  0.888364, Average Loss  0.879623, Time  0.448595
2021-09-25 00:24:26.281545 : Epoch  2, Batch    188, Loss  0.884917, Average Loss  0.879634, Time  0.456439
2021-09-25 00:24:32.319291 : Epoch  2, Batch    189, Loss  0.867416, Average Loss  0.879469, Time  0.455686
2021-09-25 00:24:38.347528 : Epoch  2, Batch    190, Loss  0.891269, Average Loss  0.879540, Time  0.446980
2021-09-25 00:24:44.383653 : Epoch  2, Batch    191, Loss  0.868659, Average Loss  0.879493, Time  0.446574
2021-09-25 00:24:50.431841 : Epoch  2, Batch    192, Loss  0.890052, Average Loss  0.879560, Time  0.452909
2021-09-25 00:24:56.454960 : Epoch  2, Batch    193, Loss  0.874976, Average Loss  0.879503, Time  0.446152
2021-09-25 00:25:02.477271 : Epoch  2, Batch    194, Loss  0.877242, Average Loss  0.879449, Time  0.445741
2021-09-25 00:25:08.528971 : Epoch  2, Batch    195, Loss  0.876088, Average Loss  0.879472, Time  0.457585
2021-09-25 00:25:14.568122 : Epoch  2, Batch    196, Loss  0.887974, Average Loss  0.879560, Time  0.448213
2021-09-25 00:25:20.607087 : Epoch  2, Batch    197, Loss  0.883987, Average Loss  0.879547, Time  0.446600
2021-09-25 00:25:26.637195 : Epoch  2, Batch    198, Loss  0.890094, Average Loss  0.879644, Time  0.446418
2021-09-25 00:25:32.668412 : Epoch  2, Batch    199, Loss  0.882721, Average Loss  0.879634, Time  0.449670
2021-09-25 00:25:38.700362 : Epoch  2, Batch    200, Loss  0.880731, Average Loss  0.879655, Time  0.447208
2021-09-25 00:25:44.741080 : Epoch  2, Batch    201, Loss  0.879981, Average Loss  0.879566, Time  0.445921
2021-09-25 00:25:50.771908 : Epoch  2, Batch    202, Loss  0.874022, Average Loss  0.879557, Time  0.447716
2021-09-25 00:25:56.811684 : Epoch  2, Batch    203, Loss  0.866448, Average Loss  0.879499, Time  0.464440
2021-09-25 00:26:02.832664 : Epoch  2, Batch    204, Loss  0.870698, Average Loss  0.879429, Time  0.446031
2021-09-25 00:26:08.863271 : Epoch  2, Batch    205, Loss  0.889751, Average Loss  0.879458, Time  0.451059
2021-09-25 00:26:14.893097 : Epoch  2, Batch    206, Loss  0.876600, Average Loss  0.879414, Time  0.447578
2021-09-25 00:26:20.942875 : Epoch  2, Batch    207, Loss  0.873508, Average Loss  0.879360, Time  0.446399
2021-09-25 00:26:26.967010 : Epoch  2, Batch    208, Loss  0.863387, Average Loss  0.879230, Time  0.447545
2021-09-25 00:26:32.982005 : Epoch  2, Batch    209, Loss  0.874534, Average Loss  0.879161, Time  0.448175
2021-09-25 00:26:39.029832 : Epoch  2, Batch    210, Loss  0.864430, Average Loss  0.879093, Time  0.464293
2021-09-25 00:26:45.049923 : Epoch  2, Batch    211, Loss  0.875587, Average Loss  0.879063, Time  0.448212
2021-09-25 00:26:51.086532 : Epoch  2, Batch    212, Loss  0.883996, Average Loss  0.879108, Time  0.446653
2021-09-25 00:26:57.098871 : Epoch  2, Batch    213, Loss  0.874105, Average Loss  0.879138, Time  0.447829
2021-09-25 00:26:58.256820 : CheckPoint: Validation Loss  0.00015031, Best Loss  0.00014886
2021-09-25 00:27:03.123941 : Epoch  2, Batch    214, Loss  0.883182, Average Loss  0.879119, Time  0.446443
2021-09-25 00:27:04.386722 : Epoch  2, Batch    573, Loss  0.883644, Average Loss  0.874038, Time  0.457372
2021-09-25 00:27:09.166605 : Epoch  2, Batch    215, Loss  0.879794, Average Loss  0.879108, Time  0.445436
2021-09-25 00:27:10.495379 : Epoch  2, Batch    574, Loss  0.860646, Average Loss  0.873997, Time  0.448555
2021-09-25 00:27:15.216238 : Epoch  2, Batch    216, Loss  0.873470, Average Loss  0.879115, Time  0.446324
2021-09-25 00:27:16.591112 : Epoch  2, Batch    575, Loss  0.872442, Average Loss  0.873993, Time  0.449707
2021-09-25 00:27:21.242272 : Epoch  2, Batch    217, Loss  0.859184, Average Loss  0.878992, Time  0.447820
2021-09-25 00:27:22.722021 : Epoch  2, Batch    576, Loss  0.864476, Average Loss  0.873937, Time  0.445827
2021-09-25 00:27:27.272882 : Epoch  2, Batch    218, Loss  0.883690, Average Loss  0.878938, Time  0.456318
2021-09-25 00:27:28.816104 : Epoch  2, Batch    577, Loss  0.872985, Average Loss  0.873910, Time  0.452130
2021-09-25 00:27:33.297670 : Epoch  2, Batch    219, Loss  0.891682, Average Loss  0.878885, Time  0.446168
2021-09-25 00:27:34.910725 : Epoch  2, Batch    578, Loss  0.874508, Average Loss  0.873928, Time  0.447597
2021-09-25 00:27:39.310312 : Epoch  2, Batch    220, Loss  0.875760, Average Loss  0.878836, Time  0.446737
2021-09-25 00:27:41.002809 : Epoch  2, Batch    579, Loss  0.868951, Average Loss  0.873937, Time  0.446061
2021-09-25 00:27:45.325704 : Epoch  2, Batch    221, Loss  0.873787, Average Loss  0.878769, Time  0.445519
2021-09-25 00:27:47.109281 : Epoch  2, Batch    580, Loss  0.864352, Average Loss  0.873932, Time  0.448152
2021-09-25 00:27:51.351997 : Epoch  2, Batch    222, Loss  0.888604, Average Loss  0.878877, Time  0.445930
2021-09-25 00:27:53.212295 : Epoch  2, Batch    581, Loss  0.872716, Average Loss  0.873906, Time  0.458223
2021-09-25 00:27:57.381512 : Epoch  2, Batch    223, Loss  0.877883, Average Loss  0.878857, Time  0.448542
2021-09-25 00:27:59.319808 : Epoch  2, Batch    582, Loss  0.869396, Average Loss  0.873811, Time  0.448393
2021-09-25 00:28:03.413065 : Epoch  2, Batch    224, Loss  0.877771, Average Loss  0.878902, Time  0.447927
2021-09-25 00:28:05.418824 : Epoch  2, Batch    583, Loss  0.878983, Average Loss  0.873775, Time  0.446566
2021-09-25 00:28:09.443753 : Epoch  2, Batch    225, Loss  0.869218, Average Loss  0.878894, Time  0.465443
2021-09-25 00:28:11.497859 : Epoch  2, Batch    584, Loss  0.877183, Average Loss  0.873795, Time  0.446453
2021-09-25 00:28:15.467412 : Epoch  2, Batch    226, Loss  0.874194, Average Loss  0.878935, Time  0.447249
2021-09-25 00:28:17.593797 : Epoch  2, Batch    585, Loss  0.870277, Average Loss  0.873795, Time  0.446818
2021-09-25 00:28:21.498531 : Epoch  2, Batch    227, Loss  0.858843, Average Loss  0.878891, Time  0.450499
2021-09-25 00:28:23.674074 : Epoch  2, Batch    586, Loss  0.872961, Average Loss  0.873785, Time  0.446903
2021-09-25 00:28:27.525512 : Epoch  2, Batch    228, Loss  0.866149, Average Loss  0.878843, Time  0.446543
2021-09-25 00:28:29.762442 : Epoch  2, Batch    587, Loss  0.852438, Average Loss  0.873696, Time  0.446424
2021-09-25 00:28:33.542856 : Epoch  2, Batch    229, Loss  0.877910, Average Loss  0.878836, Time  0.446093
2021-09-25 00:28:35.874227 : Epoch  2, Batch    588, Loss  0.880731, Average Loss  0.873691, Time  0.462528
2021-09-25 00:28:39.567182 : Epoch  2, Batch    230, Loss  0.877495, Average Loss  0.878804, Time  0.446461
2021-09-25 00:28:41.973013 : Epoch  2, Batch    589, Loss  0.884323, Average Loss  0.873787, Time  0.449772
2021-09-25 00:28:45.579716 : Epoch  2, Batch    231, Loss  0.883042, Average Loss  0.878805, Time  0.445578
2021-09-25 00:28:48.065480 : Epoch  2, Batch    590, Loss  0.881208, Average Loss  0.873785, Time  0.448422
2021-09-25 00:28:51.612406 : Epoch  2, Batch    232, Loss  0.879027, Average Loss  0.878717, Time  0.447926
2021-09-25 00:28:54.175777 : Epoch  2, Batch    591, Loss  0.877767, Average Loss  0.873759, Time  0.450383
2021-09-25 00:28:57.655165 : Epoch  2, Batch    233, Loss  0.871325, Average Loss  0.878676, Time  0.458374
2021-09-25 00:29:00.263855 : Epoch  2, Batch    592, Loss  0.878852, Average Loss  0.873770, Time  0.446480
2021-09-25 00:29:03.683963 : Epoch  2, Batch    234, Loss  0.873437, Average Loss  0.878679, Time  0.446028
2021-09-25 00:29:06.375429 : Epoch  2, Batch    593, Loss  0.856962, Average Loss  0.873662, Time  0.446467
2021-09-25 00:29:09.703307 : Epoch  2, Batch    235, Loss  0.873911, Average Loss  0.878645, Time  0.446455
2021-09-25 00:29:12.467042 : Epoch  2, Batch    594, Loss  0.877975, Average Loss  0.873660, Time  0.446529
2021-09-25 00:29:15.727892 : Epoch  2, Batch    236, Loss  0.873094, Average Loss  0.878639, Time  0.447327
2021-09-25 00:29:18.548553 : Epoch  2, Batch    595, Loss  0.871428, Average Loss  0.873633, Time  0.445824
2021-09-25 00:29:21.761157 : Epoch  2, Batch    237, Loss  0.880692, Average Loss  0.878663, Time  0.453964
2021-09-25 00:29:24.661370 : Epoch  2, Batch    596, Loss  0.876696, Average Loss  0.873623, Time  0.461422
2021-09-25 00:29:27.787835 : Epoch  2, Batch    238, Loss  0.880439, Average Loss  0.878643, Time  0.446157
2021-09-25 00:29:30.779008 : Epoch  2, Batch    597, Loss  0.884488, Average Loss  0.873672, Time  0.448219
2021-09-25 00:29:33.785941 : Epoch  2, Batch    239, Loss  0.871996, Average Loss  0.878562, Time  0.446009
2021-09-25 00:29:36.895621 : Epoch  2, Batch    598, Loss  0.882455, Average Loss  0.873621, Time  0.446561
2021-09-25 00:29:39.799525 : Epoch  2, Batch    240, Loss  0.889892, Average Loss  0.878626, Time  0.446180
2021-09-25 00:29:43.020623 : Epoch  2, Batch    599, Loss  0.883846, Average Loss  0.873654, Time  0.449503
2021-09-25 00:29:45.856241 : Epoch  2, Batch    241, Loss  0.870363, Average Loss  0.878635, Time  0.463466
2021-09-25 00:29:49.136771 : Epoch  2, Batch    600, Loss  0.876252, Average Loss  0.873752, Time  0.446547
2021-09-25 00:29:51.881699 : Epoch  2, Batch    242, Loss  0.878781, Average Loss  0.878686, Time  0.449144
2021-09-25 00:29:55.249740 : Epoch  2, Batch    601, Loss  0.890131, Average Loss  0.873847, Time  0.446704
2021-09-25 00:29:57.900247 : Epoch  2, Batch    243, Loss  0.867546, Average Loss  0.878633, Time  0.448526
2021-09-25 00:30:01.352418 : Epoch  2, Batch    602, Loss  0.872170, Average Loss  0.873827, Time  0.449579
2021-09-25 00:30:03.933958 : Epoch  2, Batch    244, Loss  0.884977, Average Loss  0.878703, Time  0.450669
2021-09-25 00:30:07.468510 : Epoch  2, Batch    603, Loss  0.865758, Average Loss  0.873916, Time  0.463472
2021-09-25 00:30:09.964147 : Epoch  2, Batch    245, Loss  0.873113, Average Loss  0.878621, Time  0.445459
2021-09-25 00:30:13.598096 : Epoch  2, Batch    604, Loss  0.866952, Average Loss  0.873852, Time  0.446366
2021-09-25 00:30:15.975865 : Epoch  2, Batch    246, Loss  0.870050, Average Loss  0.878595, Time  0.446017
2021-09-25 00:30:19.710808 : Epoch  2, Batch    605, Loss  0.871404, Average Loss  0.873800, Time  0.447538
2021-09-25 00:30:22.013862 : Epoch  2, Batch    247, Loss  0.889321, Average Loss  0.878640, Time  0.447247
2021-09-25 00:30:25.823282 : Epoch  2, Batch    606, Loss  0.873326, Average Loss  0.873822, Time  0.448838
2021-09-25 00:30:28.030365 : Epoch  2, Batch    248, Loss  0.866918, Average Loss  0.878562, Time  0.458741
2021-09-25 00:30:31.905390 : Epoch  2, Batch    607, Loss  0.872508, Average Loss  0.873778, Time  0.451711
2021-09-25 00:30:34.048327 : Epoch  2, Batch    249, Loss  0.875536, Average Loss  0.878507, Time  0.447511
2021-09-25 00:30:38.005724 : Epoch  2, Batch    608, Loss  0.868737, Average Loss  0.873699, Time  0.449023
2021-09-25 00:30:40.058895 : Epoch  2, Batch    250, Loss  0.866276, Average Loss  0.878486, Time  0.447140
2021-09-25 00:30:44.101893 : Epoch  2, Batch    609, Loss  0.872757, Average Loss  0.873695, Time  0.450553
2021-09-25 00:30:46.086244 : Epoch  2, Batch    251, Loss  0.871529, Average Loss  0.878292, Time  0.446215
2021-09-25 00:30:50.205305 : Epoch  2, Batch    610, Loss  0.873248, Average Loss  0.873770, Time  0.449136
2021-09-25 00:30:52.103154 : Epoch  2, Batch    252, Loss  0.873359, Average Loss  0.878281, Time  0.447790
2021-09-25 00:30:56.329918 : Epoch  2, Batch    611, Loss  0.881113, Average Loss  0.873842, Time  0.457615
2021-09-25 00:30:58.122241 : Epoch  2, Batch    253, Loss  0.880907, Average Loss  0.878203, Time  0.445718
2021-09-25 00:31:02.431294 : Epoch  2, Batch    612, Loss  0.861695, Average Loss  0.873832, Time  0.446670
2021-09-25 00:31:04.173977 : Epoch  2, Batch    254, Loss  0.871080, Average Loss  0.878109, Time  0.452226
2021-09-25 00:31:08.529654 : Epoch  2, Batch    613, Loss  0.877864, Average Loss  0.873884, Time  0.445889
2021-09-25 00:31:10.231219 : Epoch  2, Batch    255, Loss  0.883573, Average Loss  0.878142, Time  0.449915
2021-09-25 00:31:14.639619 : Epoch  2, Batch    614, Loss  0.877433, Average Loss  0.873818, Time  0.446560
2021-09-25 00:31:16.288965 : Epoch  2, Batch    256, Loss  0.889911, Average Loss  0.878203, Time  0.463361
2021-09-25 00:31:20.747723 : Epoch  2, Batch    615, Loss  0.855843, Average Loss  0.873711, Time  0.448731
2021-09-25 00:31:22.331627 : Epoch  2, Batch    257, Loss  0.867162, Average Loss  0.878102, Time  0.447100
2021-09-25 00:31:26.844155 : Epoch  2, Batch    616, Loss  0.882139, Average Loss  0.873687, Time  0.446806
2021-09-25 00:31:28.378951 : Epoch  2, Batch    258, Loss  0.870174, Average Loss  0.878073, Time  0.449216
2021-09-25 00:31:32.927415 : Epoch  2, Batch    617, Loss  0.873061, Average Loss  0.873743, Time  0.445477
2021-09-25 00:31:34.391615 : Epoch  2, Batch    259, Loss  0.883284, Average Loss  0.878051, Time  0.446963
2021-09-25 00:31:39.053422 : Epoch  2, Batch    618, Loss  0.878938, Average Loss  0.873786, Time  0.466362
2021-09-25 00:31:40.424859 : Epoch  2, Batch    260, Loss  0.868654, Average Loss  0.878005, Time  0.450282
2021-09-25 00:31:45.137851 : Epoch  2, Batch    619, Loss  0.878897, Average Loss  0.873866, Time  0.447695
2021-09-25 00:31:46.436933 : Epoch  2, Batch    261, Loss  0.882555, Average Loss  0.878042, Time  0.448543
2021-09-25 00:31:51.225434 : Epoch  2, Batch    620, Loss  0.866133, Average Loss  0.873835, Time  0.446337
2021-09-25 00:31:52.461932 : Epoch  2, Batch    262, Loss  0.880206, Average Loss  0.878007, Time  0.445916
2021-09-25 00:31:57.335970 : Epoch  2, Batch    621, Loss  0.881722, Average Loss  0.873942, Time  0.453043
2021-09-25 00:31:58.501588 : Epoch  2, Batch    263, Loss  0.882757, Average Loss  0.878056, Time  0.455587
2021-09-25 00:32:03.431976 : Epoch  2, Batch    622, Loss  0.874492, Average Loss  0.873976, Time  0.449455
2021-09-25 00:32:04.527718 : Epoch  2, Batch    264, Loss  0.879524, Average Loss  0.878038, Time  0.446032
2021-09-25 00:32:09.527825 : Epoch  2, Batch    623, Loss  0.872817, Average Loss  0.874082, Time  0.446198
2021-09-25 00:32:10.558590 : Epoch  2, Batch    265, Loss  0.873007, Average Loss  0.877972, Time  0.451022
2021-09-25 00:32:15.614552 : Epoch  2, Batch    624, Loss  0.873446, Average Loss  0.874008, Time  0.446191
2021-09-25 00:32:16.569961 : Epoch  2, Batch    266, Loss  0.853812, Average Loss  0.877873, Time  0.446838
2021-09-25 00:32:21.733056 : Epoch  2, Batch    625, Loss  0.895296, Average Loss  0.874154, Time  0.446186
2021-09-25 00:32:22.612214 : Epoch  2, Batch    267, Loss  0.881518, Average Loss  0.877835, Time  0.446200
2021-09-25 00:32:27.840504 : Epoch  2, Batch    626, Loss  0.868838, Average Loss  0.874105, Time  0.467152
2021-09-25 00:32:28.626349 : Epoch  2, Batch    268, Loss  0.884435, Average Loss  0.877891, Time  0.447797
2021-09-25 00:32:33.929497 : Epoch  2, Batch    627, Loss  0.859457, Average Loss  0.874048, Time  0.446386
2021-09-25 00:32:34.655476 : Epoch  2, Batch    269, Loss  0.880605, Average Loss  0.877825, Time  0.447193
2021-09-25 00:32:40.022733 : Epoch  2, Batch    628, Loss  0.869129, Average Loss  0.873985, Time  0.457442
2021-09-25 00:32:40.670090 : Epoch  2, Batch    270, Loss  0.875416, Average Loss  0.877841, Time  0.445515
2021-09-25 00:32:46.136296 : Epoch  2, Batch    629, Loss  0.863166, Average Loss  0.874001, Time  0.446488
2021-09-25 00:32:46.703834 : Epoch  2, Batch    271, Loss  0.882005, Average Loss  0.877879, Time  0.461548
2021-09-25 00:32:52.229313 : Epoch  2, Batch    630, Loss  0.890912, Average Loss  0.874057, Time  0.447391
2021-09-25 00:32:52.714681 : Epoch  2, Batch    272, Loss  0.875334, Average Loss  0.877818, Time  0.445558
2021-09-25 00:32:58.340338 : Epoch  2, Batch    631, Loss  0.873107, Average Loss  0.874037, Time  0.448147
2021-09-25 00:33:04.436555 : Epoch  2, Batch    632, Loss  0.871805, Average Loss  0.874009, Time  0.446062
2021-09-25 00:33:10.531820 : Epoch  2, Batch    633, Loss  0.866399, Average Loss  0.874055, Time  0.459581
2021-09-25 00:33:16.652030 : Epoch  2, Batch    634, Loss  0.874745, Average Loss  0.874059, Time  0.450950
2021-09-25 00:33:22.741190 : Epoch  2, Batch    635, Loss  0.861152, Average Loss  0.873993, Time  0.446486
2021-09-25 00:33:28.846884 : Epoch  2, Batch    636, Loss  0.877037, Average Loss  0.873983, Time  0.449778
2021-09-25 00:33:34.983792 : Epoch  2, Batch    637, Loss  0.869961, Average Loss  0.873969, Time  0.446176
2021-09-25 00:33:41.098559 : Epoch  2, Batch    638, Loss  0.863895, Average Loss  0.873921, Time  0.446268
2021-09-25 00:33:47.192555 : Epoch  2, Batch    639, Loss  0.866497, Average Loss  0.873894, Time  0.448488
2021-09-25 00:33:53.281348 : Epoch  2, Batch    640, Loss  0.862951, Average Loss  0.873899, Time  0.447189
2021-09-25 00:33:59.399297 : Epoch  2, Batch    641, Loss  0.891110, Average Loss  0.874067, Time  0.462293
2021-09-25 00:34:05.483278 : Epoch  2, Batch    642, Loss  0.879148, Average Loss  0.874133, Time  0.446910
2021-09-25 00:34:11.579149 : Epoch  2, Batch    643, Loss  0.867881, Average Loss  0.874127, Time  0.447926
2021-09-25 00:34:17.705645 : Epoch  2, Batch    644, Loss  0.865383, Average Loss  0.874051, Time  0.446592
2021-09-25 00:34:23.812619 : Epoch  2, Batch    645, Loss  0.873583, Average Loss  0.874067, Time  0.448303
2021-09-25 00:34:29.917197 : Epoch  2, Batch    646, Loss  0.858515, Average Loss  0.873976, Time  0.448867
2021-09-25 00:34:36.003755 : Epoch  2, Batch    647, Loss  0.869453, Average Loss  0.873960, Time  0.447400
2021-09-25 00:34:42.112490 : Epoch  2, Batch    648, Loss  0.880403, Average Loss  0.874007, Time  0.456876
2021-09-25 00:34:48.207928 : Epoch  2, Batch    649, Loss  0.881440, Average Loss  0.874069, Time  0.447576
2021-09-25 00:34:54.308796 : Epoch  2, Batch    650, Loss  0.873048, Average Loss  0.874105, Time  0.446793
2021-09-25 00:35:00.404703 : Epoch  2, Batch    651, Loss  0.878543, Average Loss  0.874176, Time  0.446831
2021-09-25 00:35:06.489965 : Epoch  2, Batch    652, Loss  0.883461, Average Loss  0.874234, Time  0.449393
2021-09-25 00:35:12.583122 : Epoch  2, Batch    653, Loss  0.884959, Average Loss  0.874273, Time  0.446899
2021-09-25 00:35:18.667232 : Epoch  2, Batch    654, Loss  0.887259, Average Loss  0.874274, Time  0.448078
2021-09-25 00:35:24.796861 : Epoch  2, Batch    655, Loss  0.857615, Average Loss  0.874093, Time  0.448025
2021-09-25 00:35:30.921545 : Epoch  2, Batch    656, Loss  0.859635, Average Loss  0.873988, Time  0.458270
2021-09-25 00:35:37.023941 : Epoch  2, Batch    657, Loss  0.881525, Average Loss  0.874013, Time  0.453309
2021-09-25 00:35:43.118493 : Epoch  2, Batch    658, Loss  0.865669, Average Loss  0.873978, Time  0.446008
2021-09-25 00:35:49.229321 : Epoch  2, Batch    659, Loss  0.860422, Average Loss  0.873898, Time  0.448262
2021-09-25 00:35:55.335808 : Epoch  2, Batch    660, Loss  0.878744, Average Loss  0.873861, Time  0.450355
2021-09-25 00:36:01.433273 : Epoch  2, Batch    661, Loss  0.873665, Average Loss  0.873822, Time  0.447406
2021-09-25 00:36:07.551027 : Epoch  2, Batch    662, Loss  0.881635, Average Loss  0.873914, Time  0.451214
2021-09-25 00:36:13.672888 : Epoch  2, Batch    663, Loss  0.873746, Average Loss  0.873918, Time  0.461989
2021-09-25 00:36:19.784954 : Epoch  2, Batch    664, Loss  0.875970, Average Loss  0.873936, Time  0.450084
2021-09-25 00:36:25.895934 : Epoch  2, Batch    665, Loss  0.883022, Average Loss  0.873959, Time  0.447551
2021-09-25 00:36:31.997040 : Epoch  2, Batch    666, Loss  0.887729, Average Loss  0.874085, Time  0.446203
2021-09-25 00:36:38.126618 : Epoch  2, Batch    667, Loss  0.868878, Average Loss  0.874091, Time  0.464642
2021-09-25 00:36:44.228988 : Epoch  2, Batch    668, Loss  0.882343, Average Loss  0.874115, Time  0.450799
2021-09-25 00:36:50.330759 : Epoch  2, Batch    669, Loss  0.865276, Average Loss  0.874121, Time  0.453466
2021-09-25 00:36:56.440102 : Epoch  2, Batch    670, Loss  0.875644, Average Loss  0.874195, Time  0.447929
2021-09-25 00:37:02.521171 : Epoch  2, Batch    671, Loss  0.878163, Average Loss  0.874203, Time  0.455278
2021-09-25 00:37:08.622724 : Epoch  2, Batch    672, Loss  0.874277, Average Loss  0.874177, Time  0.446095
2021-09-25 00:37:40.150279 : CheckPoint: Validation Loss  0.00014852, Best Loss  0.00014852
2021-09-25 00:37:40.193036 : Best Model Updated
2021-09-25 00:37:47.126006 : Epoch  2, Batch    273, Loss  0.862981, Average Loss  0.877697, Time  0.447669
2021-09-25 00:37:53.145804 : Epoch  2, Batch    274, Loss  0.889293, Average Loss  0.877760, Time  0.446646
2021-09-25 00:37:59.173493 : Epoch  2, Batch    275, Loss  0.879651, Average Loss  0.877768, Time  0.445594
2021-09-25 00:38:05.211909 : Epoch  2, Batch    276, Loss  0.865494, Average Loss  0.877735, Time  0.460217
2021-09-25 00:38:11.278440 : Epoch  2, Batch    277, Loss  0.862244, Average Loss  0.877579, Time  0.445902
2021-09-25 00:38:17.331106 : Epoch  2, Batch    278, Loss  0.886896, Average Loss  0.877631, Time  0.450670
2021-09-25 00:38:23.369589 : Epoch  2, Batch    279, Loss  0.891411, Average Loss  0.877731, Time  0.450704
2021-09-25 00:38:29.428423 : Epoch  2, Batch    280, Loss  0.879495, Average Loss  0.877785, Time  0.452791
2021-09-25 00:38:35.458866 : Epoch  2, Batch    281, Loss  0.887375, Average Loss  0.877907, Time  0.445986
2021-09-25 00:38:41.483431 : Epoch  2, Batch    282, Loss  0.881692, Average Loss  0.877898, Time  0.445806
2021-09-25 00:38:47.527362 : Epoch  2, Batch    283, Loss  0.881676, Average Loss  0.877925, Time  0.452611
2021-09-25 00:38:53.564446 : Epoch  2, Batch    284, Loss  0.875919, Average Loss  0.877887, Time  0.460182
2021-09-25 00:38:59.586900 : Epoch  2, Batch    285, Loss  0.883221, Average Loss  0.877913, Time  0.445560
2021-09-25 00:39:05.608698 : Epoch  2, Batch    286, Loss  0.874972, Average Loss  0.877895, Time  0.446351
2021-09-25 00:39:11.636776 : Epoch  2, Batch    287, Loss  0.889921, Average Loss  0.878010, Time  0.446338
2021-09-25 00:39:17.658795 : Epoch  2, Batch    288, Loss  0.869331, Average Loss  0.877953, Time  0.446515
2021-09-25 00:39:23.687759 : Epoch  2, Batch    289, Loss  0.874030, Average Loss  0.877956, Time  0.449256
2021-09-25 00:39:29.709314 : Epoch  2, Batch    290, Loss  0.873143, Average Loss  0.877922, Time  0.446836
2021-09-25 00:39:35.750380 : Epoch  2, Batch    291, Loss  0.876194, Average Loss  0.877903, Time  0.455020
2021-09-25 00:39:41.779707 : Epoch  2, Batch    292, Loss  0.876798, Average Loss  0.877885, Time  0.447910
2021-09-25 00:39:47.797788 : Epoch  2, Batch    293, Loss  0.873437, Average Loss  0.877902, Time  0.445804
2021-09-25 00:39:53.826332 : Epoch  2, Batch    294, Loss  0.882344, Average Loss  0.877932, Time  0.445447
2021-09-25 00:39:59.853960 : Epoch  2, Batch    295, Loss  0.886782, Average Loss  0.877972, Time  0.446572
2021-09-25 00:40:05.883570 : Epoch  2, Batch    296, Loss  0.869472, Average Loss  0.877866, Time  0.448922
2021-09-25 00:40:11.925345 : Epoch  2, Batch    297, Loss  0.879238, Average Loss  0.877819, Time  0.450475
2021-09-25 00:40:17.965388 : Epoch  2, Batch    298, Loss  0.881957, Average Loss  0.877909, Time  0.447828
2021-09-25 00:40:24.003841 : Epoch  2, Batch    299, Loss  0.868810, Average Loss  0.877895, Time  0.460217
2021-09-25 00:40:30.019901 : Epoch  2, Batch    300, Loss  0.882558, Average Loss  0.877892, Time  0.446197
2021-09-25 00:40:36.051425 : Epoch  2, Batch    301, Loss  0.872534, Average Loss  0.877851, Time  0.447036
2021-09-25 00:40:42.080438 : Epoch  2, Batch    302, Loss  0.866193, Average Loss  0.877794, Time  0.445584
2021-09-25 00:40:48.112016 : Epoch  2, Batch    303, Loss  0.878902, Average Loss  0.877780, Time  0.445841
2021-09-25 00:40:54.128980 : Epoch  2, Batch    304, Loss  0.862406, Average Loss  0.877699, Time  0.445446
2021-09-25 00:41:00.162663 : Epoch  2, Batch    305, Loss  0.870703, Average Loss  0.877632, Time  0.449261
2021-09-25 00:41:06.176306 : Epoch  2, Batch    306, Loss  0.889568, Average Loss  0.877717, Time  0.452913
2021-09-25 00:41:12.200859 : Epoch  2, Batch    307, Loss  0.890717, Average Loss  0.877744, Time  0.446081
2021-09-25 00:41:18.233804 : Epoch  2, Batch    308, Loss  0.875923, Average Loss  0.877744, Time  0.447670
2021-09-25 00:41:24.248004 : Epoch  2, Batch    309, Loss  0.869173, Average Loss  0.877762, Time  0.450223
2021-09-25 00:41:30.261063 : Epoch  2, Batch    310, Loss  0.869251, Average Loss  0.877755, Time  0.446778
2021-09-25 00:41:36.287546 : Epoch  2, Batch    311, Loss  0.885284, Average Loss  0.877793, Time  0.446840
2021-09-25 00:41:42.320277 : Epoch  2, Batch    312, Loss  0.868687, Average Loss  0.877676, Time  0.446029
2021-09-25 00:41:48.345019 : Epoch  2, Batch    313, Loss  0.879989, Average Loss  0.877678, Time  0.445891
2021-09-25 00:41:54.395399 : Epoch  2, Batch    314, Loss  0.887379, Average Loss  0.877715, Time  0.459171
2021-09-25 00:41:58.304775 : CheckPoint: Validation Loss  0.00015023, Best Loss  0.00014886
2021-09-25 00:42:00.425351 : Epoch  2, Batch    315, Loss  0.867634, Average Loss  0.877641, Time  0.446467
2021-09-25 00:42:04.402418 : Epoch  2, Batch    673, Loss  0.873651, Average Loss  0.874248, Time  0.447981
2021-09-25 00:42:06.490903 : Epoch  2, Batch    316, Loss  0.881732, Average Loss  0.877610, Time  0.448632
2021-09-25 00:42:10.513724 : Epoch  2, Batch    674, Loss  0.864824, Average Loss  0.874186, Time  0.446410
2021-09-25 00:42:12.533703 : Epoch  2, Batch    317, Loss  0.862635, Average Loss  0.877544, Time  0.448961
2021-09-25 00:42:16.631403 : Epoch  2, Batch    675, Loss  0.871511, Average Loss  0.874280, Time  0.447896
2021-09-25 00:42:18.578135 : Epoch  2, Batch    318, Loss  0.877851, Average Loss  0.877567, Time  0.449595
2021-09-25 00:42:22.748902 : Epoch  2, Batch    676, Loss  0.872042, Average Loss  0.874317, Time  0.457805
2021-09-25 00:42:24.645615 : Epoch  2, Batch    319, Loss  0.867618, Average Loss  0.877485, Time  0.449308
2021-09-25 00:42:28.875782 : Epoch  2, Batch    677, Loss  0.872679, Average Loss  0.874294, Time  0.446392
2021-09-25 00:42:30.687785 : Epoch  2, Batch    320, Loss  0.869817, Average Loss  0.877397, Time  0.447893
2021-09-25 00:42:34.998510 : Epoch  2, Batch    678, Loss  0.872050, Average Loss  0.874275, Time  0.446584
2021-09-25 00:42:36.730989 : Epoch  2, Batch    321, Loss  0.887305, Average Loss  0.877461, Time  0.456420
2021-09-25 00:42:41.138869 : Epoch  2, Batch    679, Loss  0.871554, Average Loss  0.874249, Time  0.446403
2021-09-25 00:42:42.758880 : Epoch  2, Batch    322, Loss  0.872575, Average Loss  0.877383, Time  0.447290
2021-09-25 00:42:47.251890 : Epoch  2, Batch    680, Loss  0.864890, Average Loss  0.874234, Time  0.446417
2021-09-25 00:42:48.811581 : Epoch  2, Batch    323, Loss  0.861870, Average Loss  0.877289, Time  0.448730
2021-09-25 00:42:53.356816 : Epoch  2, Batch    681, Loss  0.857903, Average Loss  0.874129, Time  0.446414
2021-09-25 00:42:54.836892 : Epoch  2, Batch    324, Loss  0.862529, Average Loss  0.877151, Time  0.447127
2021-09-25 00:42:59.465961 : Epoch  2, Batch    682, Loss  0.871646, Average Loss  0.874090, Time  0.446267
2021-09-25 00:43:00.867689 : Epoch  2, Batch    325, Loss  0.882468, Average Loss  0.877131, Time  0.447470
2021-09-25 00:43:05.571001 : Epoch  2, Batch    683, Loss  0.878833, Average Loss  0.874063, Time  0.447100
2021-09-25 00:43:06.885562 : Epoch  2, Batch    326, Loss  0.879433, Average Loss  0.877139, Time  0.446190
2021-09-25 00:43:11.697608 : Epoch  2, Batch    684, Loss  0.867664, Average Loss  0.874015, Time  0.454678
2021-09-25 00:43:12.908449 : Epoch  2, Batch    327, Loss  0.871456, Average Loss  0.877055, Time  0.448884
2021-09-25 00:43:17.839450 : Epoch  2, Batch    685, Loss  0.879394, Average Loss  0.874105, Time  0.447687
2021-09-25 00:43:18.928163 : Epoch  2, Batch    328, Loss  0.867550, Average Loss  0.876999, Time  0.447571
2021-09-25 00:43:23.955303 : Epoch  2, Batch    686, Loss  0.870720, Average Loss  0.874060, Time  0.448137
2021-09-25 00:43:24.970690 : Epoch  2, Batch    329, Loss  0.886111, Average Loss  0.877003, Time  0.459444
2021-09-25 00:43:30.081253 : Epoch  2, Batch    687, Loss  0.875475, Average Loss  0.874000, Time  0.446874
2021-09-25 00:43:31.008189 : Epoch  2, Batch    330, Loss  0.875776, Average Loss  0.877043, Time  0.447840
2021-09-25 00:43:36.209372 : Epoch  2, Batch    688, Loss  0.874545, Average Loss  0.873960, Time  0.447001
2021-09-25 00:43:37.034488 : Epoch  2, Batch    331, Loss  0.881596, Average Loss  0.877040, Time  0.446142
2021-09-25 00:43:42.316657 : Epoch  2, Batch    689, Loss  0.864931, Average Loss  0.873988, Time  0.446494
2021-09-25 00:43:43.095400 : Epoch  2, Batch    332, Loss  0.881630, Average Loss  0.877136, Time  0.451058
2021-09-25 00:43:48.413481 : Epoch  2, Batch    690, Loss  0.873925, Average Loss  0.874008, Time  0.446022
2021-09-25 00:43:49.138786 : Epoch  2, Batch    333, Loss  0.870446, Average Loss  0.877064, Time  0.451205
2021-09-25 00:43:54.548429 : Epoch  2, Batch    691, Loss  0.874656, Average Loss  0.874055, Time  0.460257
2021-09-25 00:43:55.192920 : Epoch  2, Batch    334, Loss  0.853124, Average Loss  0.876945, Time  0.449371
2021-09-25 00:44:00.662186 : Epoch  2, Batch    692, Loss  0.882848, Average Loss  0.874134, Time  0.446103
2021-09-25 00:44:01.233959 : Epoch  2, Batch    335, Loss  0.886116, Average Loss  0.876953, Time  0.445929
2021-09-25 00:44:06.767996 : Epoch  2, Batch    693, Loss  0.864378, Average Loss  0.874074, Time  0.446300
2021-09-25 00:44:07.270600 : Epoch  2, Batch    336, Loss  0.880534, Average Loss  0.876990, Time  0.458383
2021-09-25 00:44:12.868679 : Epoch  2, Batch    694, Loss  0.870124, Average Loss  0.873969, Time  0.453938
2021-09-25 00:44:13.315391 : Epoch  2, Batch    337, Loss  0.871678, Average Loss  0.876989, Time  0.448417
2021-09-25 00:44:18.985403 : Epoch  2, Batch    695, Loss  0.869619, Average Loss  0.873973, Time  0.447851
2021-09-25 00:44:19.342962 : Epoch  2, Batch    338, Loss  0.879731, Average Loss  0.876978, Time  0.448763
2021-09-25 00:44:25.093813 : Epoch  2, Batch    696, Loss  0.858532, Average Loss  0.873951, Time  0.446341
2021-09-25 00:44:25.378518 : Epoch  2, Batch    339, Loss  0.888806, Average Loss  0.877065, Time  0.448076
2021-09-25 00:44:31.207972 : Epoch  2, Batch    697, Loss  0.878937, Average Loss  0.873867, Time  0.447749
2021-09-25 00:44:31.394616 : Epoch  2, Batch    340, Loss  0.869185, Average Loss  0.877044, Time  0.446396
2021-09-25 00:44:37.334798 : Epoch  2, Batch    698, Loss  0.866439, Average Loss  0.873785, Time  0.446671
2021-09-25 00:44:37.428040 : Epoch  2, Batch    341, Loss  0.887267, Average Loss  0.877051, Time  0.445816
2021-09-25 00:44:43.464702 : Epoch  2, Batch    699, Loss  0.880520, Average Loss  0.873789, Time  0.453289
2021-09-25 00:44:43.464895 : Epoch  2, Batch    342, Loss  0.864707, Average Loss  0.876948, Time  0.445969
2021-09-25 00:44:49.516223 : Epoch  2, Batch    343, Loss  0.895076, Average Loss  0.877003, Time  0.447119
2021-09-25 00:44:49.569533 : Epoch  2, Batch    700, Loss  0.875019, Average Loss  0.873797, Time  0.446445
2021-09-25 00:44:55.557331 : Epoch  2, Batch    344, Loss  0.875492, Average Loss  0.876998, Time  0.460172
2021-09-25 00:44:55.688414 : Epoch  2, Batch    701, Loss  0.875274, Average Loss  0.873748, Time  0.446085
2021-09-25 00:45:01.602927 : Epoch  2, Batch    345, Loss  0.872921, Average Loss  0.877007, Time  0.448850
2021-09-25 00:45:01.798004 : Epoch  2, Batch    702, Loss  0.886938, Average Loss  0.873863, Time  0.446498
2021-09-25 00:45:07.645803 : Epoch  2, Batch    346, Loss  0.878035, Average Loss  0.877082, Time  0.447852
2021-09-25 00:45:07.906641 : Epoch  2, Batch    703, Loss  0.865939, Average Loss  0.873742, Time  0.447527
2021-09-25 00:45:13.690833 : Epoch  2, Batch    347, Loss  0.885870, Average Loss  0.877084, Time  0.449633
2021-09-25 00:45:14.015012 : Epoch  2, Batch    704, Loss  0.852647, Average Loss  0.873551, Time  0.446495
2021-09-25 00:45:19.728940 : Epoch  2, Batch    348, Loss  0.892012, Average Loss  0.877143, Time  0.447743
2021-09-25 00:45:20.139171 : Epoch  2, Batch    705, Loss  0.890141, Average Loss  0.873606, Time  0.447892
2021-09-25 00:45:25.802083 : Epoch  2, Batch    349, Loss  0.880369, Average Loss  0.877154, Time  0.459160
2021-09-25 00:45:26.305476 : Epoch  2, Batch    706, Loss  0.867772, Average Loss  0.873572, Time  0.460489
2021-09-25 00:45:31.843897 : Epoch  2, Batch    350, Loss  0.863385, Average Loss  0.877142, Time  0.448813
2021-09-25 00:45:32.420449 : Epoch  2, Batch    707, Loss  0.867337, Average Loss  0.873534, Time  0.449963
2021-09-25 00:45:37.884693 : Epoch  2, Batch    351, Loss  0.871562, Average Loss  0.877151, Time  0.458564
2021-09-25 00:45:38.545839 : Epoch  2, Batch    708, Loss  0.867391, Average Loss  0.873552, Time  0.452377
2021-09-25 00:45:43.951325 : Epoch  2, Batch    352, Loss  0.877206, Average Loss  0.877133, Time  0.451542
2021-09-25 00:45:44.648635 : Epoch  2, Batch    709, Loss  0.873356, Average Loss  0.873494, Time  0.446131
2021-09-25 00:45:49.982142 : Epoch  2, Batch    353, Loss  0.869956, Average Loss  0.877046, Time  0.445702
2021-09-25 00:45:50.763715 : Epoch  2, Batch    710, Loss  0.890226, Average Loss  0.873536, Time  0.446322
2021-09-25 00:45:56.032553 : Epoch  2, Batch    354, Loss  0.876643, Average Loss  0.877046, Time  0.449410
2021-09-25 00:45:56.882754 : Epoch  2, Batch    711, Loss  0.867624, Average Loss  0.873405, Time  0.446811
2021-09-25 00:46:02.132499 : Epoch  2, Batch    355, Loss  0.859861, Average Loss  0.877011, Time  0.448911
2021-09-25 00:46:02.999415 : Epoch  2, Batch    712, Loss  0.869631, Average Loss  0.873299, Time  0.446778
2021-09-25 00:46:08.168139 : Epoch  2, Batch    356, Loss  0.893137, Average Loss  0.877195, Time  0.447752
2021-09-25 00:46:09.097940 : Epoch  2, Batch    713, Loss  0.872397, Average Loss  0.873307, Time  0.445691
2021-09-25 00:46:14.231409 : Epoch  2, Batch    357, Loss  0.862927, Average Loss  0.877168, Time  0.453389
2021-09-25 00:46:15.219774 : Epoch  2, Batch    714, Loss  0.877278, Average Loss  0.873315, Time  0.455222
2021-09-25 00:46:20.259810 : Epoch  2, Batch    358, Loss  0.885941, Average Loss  0.877177, Time  0.445607
2021-09-25 00:46:21.336487 : Epoch  2, Batch    715, Loss  0.848869, Average Loss  0.873237, Time  0.449247
2021-09-25 00:46:26.307884 : Epoch  2, Batch    359, Loss  0.876215, Average Loss  0.877143, Time  0.459526
2021-09-25 00:46:27.475360 : Epoch  2, Batch    716, Loss  0.869577, Average Loss  0.873150, Time  0.446620
2021-09-25 00:46:31.980479 : Epoch  2, Batch    717, Loss  0.872603, Average Loss  0.873201, Time  0.346931
2021-09-25 00:46:32.343374 : Epoch  2, Batch    360, Loss  0.875666, Average Loss  0.877172, Time  0.448731
2021-09-25 00:46:38.091107 : Epoch  2, Batch    718, Loss  0.876702, Average Loss  0.873119, Time  0.448468
2021-09-25 00:46:38.382912 : Epoch  2, Batch    361, Loss  0.883445, Average Loss  0.877172, Time  0.446215
2021-09-25 00:46:44.200796 : Epoch  2, Batch    719, Loss  0.887438, Average Loss  0.873172, Time  0.445940
2021-09-25 00:46:44.411161 : Epoch  2, Batch    362, Loss  0.872514, Average Loss  0.877142, Time  0.445810
2021-09-25 00:46:50.312466 : Epoch  2, Batch    720, Loss  0.883788, Average Loss  0.873282, Time  0.446431
2021-09-25 00:46:50.458565 : Epoch  2, Batch    363, Loss  0.864980, Average Loss  0.877067, Time  0.445823
2021-09-25 00:46:56.427899 : Epoch  2, Batch    721, Loss  0.865813, Average Loss  0.873170, Time  0.447124
2021-09-25 00:46:56.501367 : Epoch  2, Batch    364, Loss  0.874180, Average Loss  0.877042, Time  0.446106
2021-09-25 00:47:02.539831 : Epoch  2, Batch    722, Loss  0.890967, Average Loss  0.873186, Time  0.463513
2021-09-25 00:47:02.568791 : Epoch  2, Batch    365, Loss  0.872178, Average Loss  0.876986, Time  0.448720
2021-09-25 00:47:08.621913 : Epoch  2, Batch    366, Loss  0.875760, Average Loss  0.877005, Time  0.462715
2021-09-25 00:47:08.654412 : Epoch  2, Batch    723, Loss  0.881019, Average Loss  0.873141, Time  0.446461
2021-09-25 00:47:14.655837 : Epoch  2, Batch    367, Loss  0.875824, Average Loss  0.877019, Time  0.446857
2021-09-25 00:47:14.787774 : Epoch  2, Batch    724, Loss  0.875358, Average Loss  0.873114, Time  0.449884
2021-09-25 00:47:20.670410 : Epoch  2, Batch    368, Loss  0.867605, Average Loss  0.876954, Time  0.446373
2021-09-25 00:47:20.913234 : Epoch  2, Batch    725, Loss  0.864330, Average Loss  0.873067, Time  0.448643
2021-09-25 00:47:26.718848 : Epoch  2, Batch    369, Loss  0.877886, Average Loss  0.876955, Time  0.449937
2021-09-25 00:47:27.035871 : Epoch  2, Batch    726, Loss  0.872758, Average Loss  0.873102, Time  0.449106
2021-09-25 00:47:32.736431 : Epoch  2, Batch    370, Loss  0.862361, Average Loss  0.876864, Time  0.446496
2021-09-25 00:47:33.157227 : Epoch  2, Batch    727, Loss  0.871145, Average Loss  0.873136, Time  0.446473
2021-09-25 00:47:38.788551 : Epoch  2, Batch    371, Loss  0.889097, Average Loss  0.876894, Time  0.452642
2021-09-25 00:47:39.263021 : Epoch  2, Batch    728, Loss  0.873425, Average Loss  0.873069, Time  0.447336
2021-09-25 00:47:44.845070 : Epoch  2, Batch    372, Loss  0.870966, Average Loss  0.876802, Time  0.445989
2021-09-25 00:47:45.408914 : Epoch  2, Batch    729, Loss  0.863441, Average Loss  0.872985, Time  0.461035
2021-09-25 00:47:51.549107 : Epoch  2, Batch    730, Loss  0.868580, Average Loss  0.872979, Time  0.449081
2021-09-25 00:47:57.671981 : Epoch  2, Batch    731, Loss  0.869856, Average Loss  0.872978, Time  0.446208
2021-09-25 00:48:03.792662 : Epoch  2, Batch    732, Loss  0.863644, Average Loss  0.872936, Time  0.449774
2021-09-25 00:48:09.912403 : Epoch  2, Batch    733, Loss  0.863710, Average Loss  0.872877, Time  0.446129
2021-09-25 00:48:16.031444 : Epoch  2, Batch    734, Loss  0.876649, Average Loss  0.872874, Time  0.446177
2021-09-25 00:48:22.159663 : Epoch  2, Batch    735, Loss  0.871530, Average Loss  0.872829, Time  0.448231
2021-09-25 00:48:28.289732 : Epoch  2, Batch    736, Loss  0.881061, Average Loss  0.872886, Time  0.452636
2021-09-25 00:48:34.410734 : Epoch  2, Batch    737, Loss  0.863034, Average Loss  0.872907, Time  0.458005
2021-09-25 00:48:40.540664 : Epoch  2, Batch    738, Loss  0.871813, Average Loss  0.872770, Time  0.450535
2021-09-25 00:48:46.669463 : Epoch  2, Batch    739, Loss  0.858364, Average Loss  0.872739, Time  0.449924
2021-09-25 00:48:52.766507 : Epoch  2, Batch    740, Loss  0.879326, Average Loss  0.872770, Time  0.449283
2021-09-25 00:48:58.887432 : Epoch  2, Batch    741, Loss  0.875543, Average Loss  0.872826, Time  0.446709
2021-09-25 00:49:05.000203 : Epoch  2, Batch    742, Loss  0.878818, Average Loss  0.872910, Time  0.446359
2021-09-25 00:49:11.101453 : Epoch  2, Batch    743, Loss  0.878936, Average Loss  0.872848, Time  0.446239
2021-09-25 00:49:17.229427 : Epoch  2, Batch    744, Loss  0.872358, Average Loss  0.872910, Time  0.461113
2021-09-25 00:49:23.348426 : Epoch  2, Batch    745, Loss  0.870820, Average Loss  0.872949, Time  0.452064
2021-09-25 00:49:29.468829 : Epoch  2, Batch    746, Loss  0.874445, Average Loss  0.872917, Time  0.449326
2021-09-25 00:49:35.596666 : Epoch  2, Batch    747, Loss  0.862901, Average Loss  0.872891, Time  0.446057
2021-09-25 00:49:41.742780 : Epoch  2, Batch    748, Loss  0.876972, Average Loss  0.872918, Time  0.450668
2021-09-25 00:49:47.865544 : Epoch  2, Batch    749, Loss  0.865241, Average Loss  0.872929, Time  0.450533
2021-09-25 00:49:53.999951 : Epoch  2, Batch    750, Loss  0.860919, Average Loss  0.872891, Time  0.449283
2021-09-25 00:50:00.120324 : Epoch  2, Batch    751, Loss  0.865222, Average Loss  0.872858, Time  0.446277
2021-09-25 00:50:06.264671 : Epoch  2, Batch    752, Loss  0.877949, Average Loss  0.872886, Time  0.461663
2021-09-25 00:50:12.405112 : Epoch  2, Batch    753, Loss  0.853029, Average Loss  0.872831, Time  0.447736
2021-09-25 00:50:18.548237 : Epoch  2, Batch    754, Loss  0.883357, Average Loss  0.872910, Time  0.450636
2021-09-25 00:50:24.666995 : Epoch  2, Batch    755, Loss  0.862733, Average Loss  0.872911, Time  0.450646
2021-09-25 00:50:30.795525 : Epoch  2, Batch    756, Loss  0.882809, Average Loss  0.872880, Time  0.448375
2021-09-25 00:50:36.909863 : Epoch  2, Batch    757, Loss  0.876693, Average Loss  0.872916, Time  0.446385
2021-09-25 00:50:43.018659 : Epoch  2, Batch    758, Loss  0.864190, Average Loss  0.872897, Time  0.446751
2021-09-25 00:50:49.170076 : Epoch  2, Batch    759, Loss  0.882221, Average Loss  0.872996, Time  0.472066
2021-09-25 00:50:55.290231 : Epoch  2, Batch    760, Loss  0.864872, Average Loss  0.872979, Time  0.447244
2021-09-25 00:51:01.403362 : Epoch  2, Batch    761, Loss  0.871160, Average Loss  0.872949, Time  0.446772
2021-09-25 00:51:07.518628 : Epoch  2, Batch    762, Loss  0.882664, Average Loss  0.872986, Time  0.447633
2021-09-25 00:51:13.623978 : Epoch  2, Batch    763, Loss  0.878291, Average Loss  0.872956, Time  0.449178
2021-09-25 00:51:19.746630 : Epoch  2, Batch    764, Loss  0.870661, Average Loss  0.872919, Time  0.449509
2021-09-25 00:51:25.865891 : Epoch  2, Batch    765, Loss  0.877693, Average Loss  0.872955, Time  0.449811
2021-09-25 00:51:31.962439 : Epoch  2, Batch    766, Loss  0.858006, Average Loss  0.872920, Time  0.448567
2021-09-25 00:51:38.086943 : Epoch  2, Batch    767, Loss  0.875523, Average Loss  0.872968, Time  0.452126
2021-09-25 00:51:44.176329 : Epoch  2, Batch    768, Loss  0.871235, Average Loss  0.872987, Time  0.445927
2021-09-25 00:51:50.307827 : Epoch  2, Batch    769, Loss  0.870844, Average Loss  0.873005, Time  0.446154
2021-09-25 00:51:56.395278 : Epoch  2, Batch    770, Loss  0.876921, Average Loss  0.873010, Time  0.446298
2021-09-25 00:52:02.495650 : Epoch  2, Batch    771, Loss  0.877480, Average Loss  0.872945, Time  0.446639
2021-09-25 00:52:08.613858 : Epoch  2, Batch    772, Loss  0.873591, Average Loss  0.872831, Time  0.446605
2021-09-25 00:52:33.093323 : CheckPoint: Validation Loss  0.00015133, Best Loss  0.00014852
2021-09-25 00:52:39.124780 : Epoch  2, Batch    373, Loss  0.872056, Average Loss  0.876797, Time  0.452696
2021-09-25 00:52:45.186444 : Epoch  2, Batch    374, Loss  0.866279, Average Loss  0.876672, Time  0.445991
2021-09-25 00:52:51.199832 : Epoch  2, Batch    375, Loss  0.867551, Average Loss  0.876594, Time  0.445905
2021-09-25 00:52:57.233527 : Epoch  2, Batch    376, Loss  0.856920, Average Loss  0.876438, Time  0.445882
2021-09-25 00:53:03.252471 : Epoch  2, Batch    377, Loss  0.869471, Average Loss  0.876368, Time  0.445742
2021-09-25 00:53:09.297092 : Epoch  2, Batch    378, Loss  0.872030, Average Loss  0.876362, Time  0.449142
2021-09-25 00:53:15.351034 : Epoch  2, Batch    379, Loss  0.865487, Average Loss  0.876317, Time  0.463069
2021-09-25 00:53:21.380009 : Epoch  2, Batch    380, Loss  0.883424, Average Loss  0.876373, Time  0.450109
2021-09-25 00:53:27.406333 : Epoch  2, Batch    381, Loss  0.874266, Average Loss  0.876332, Time  0.446381
2021-09-25 00:53:33.412022 : Epoch  2, Batch    382, Loss  0.882786, Average Loss  0.876394, Time  0.445977
2021-09-25 00:53:39.445084 : Epoch  2, Batch    383, Loss  0.883729, Average Loss  0.876409, Time  0.451578
2021-09-25 00:53:45.468807 : Epoch  2, Batch    384, Loss  0.876013, Average Loss  0.876341, Time  0.446537
2021-09-25 00:53:51.490916 : Epoch  2, Batch    385, Loss  0.861235, Average Loss  0.876233, Time  0.449499
2021-09-25 00:53:57.512353 : Epoch  2, Batch    386, Loss  0.868703, Average Loss  0.876160, Time  0.447672
2021-09-25 00:54:03.533554 : Epoch  2, Batch    387, Loss  0.886469, Average Loss  0.876150, Time  0.460521
2021-09-25 00:54:09.557524 : Epoch  2, Batch    388, Loss  0.879940, Average Loss  0.876125, Time  0.448494
2021-09-25 00:54:15.579653 : Epoch  2, Batch    389, Loss  0.871402, Average Loss  0.876145, Time  0.447526
2021-09-25 00:54:21.589605 : Epoch  2, Batch    390, Loss  0.872938, Average Loss  0.876054, Time  0.446640
2021-09-25 00:54:27.616214 : Epoch  2, Batch    391, Loss  0.890216, Average Loss  0.876161, Time  0.446597
2021-09-25 00:54:33.637153 : Epoch  2, Batch    392, Loss  0.877651, Average Loss  0.876099, Time  0.446119
2021-09-25 00:54:39.656008 : Epoch  2, Batch    393, Loss  0.891219, Average Loss  0.876181, Time  0.447639
2021-09-25 00:54:45.687457 : Epoch  2, Batch    394, Loss  0.892099, Average Loss  0.876255, Time  0.457724
2021-09-25 00:54:51.694540 : Epoch  2, Batch    395, Loss  0.875339, Average Loss  0.876251, Time  0.447656
2021-09-25 00:54:57.708821 : Epoch  2, Batch    396, Loss  0.881826, Average Loss  0.876220, Time  0.448611
2021-09-25 00:55:03.730337 : Epoch  2, Batch    397, Loss  0.881079, Average Loss  0.876206, Time  0.447964
2021-09-25 00:55:09.748354 : Epoch  2, Batch    398, Loss  0.869835, Average Loss  0.876105, Time  0.449221
2021-09-25 00:55:15.773893 : Epoch  2, Batch    399, Loss  0.873949, Average Loss  0.876061, Time  0.450371
2021-09-25 00:55:21.806526 : Epoch  2, Batch    400, Loss  0.871235, Average Loss  0.876013, Time  0.446800
2021-09-25 00:55:27.822912 : Epoch  2, Batch    401, Loss  0.870626, Average Loss  0.875966, Time  0.445871
2021-09-25 00:55:33.872861 : Epoch  2, Batch    402, Loss  0.888425, Average Loss  0.876038, Time  0.460366
2021-09-25 00:55:39.918447 : Epoch  2, Batch    403, Loss  0.888362, Average Loss  0.876148, Time  0.451047
2021-09-25 00:55:45.927083 : Epoch  2, Batch    404, Loss  0.882065, Average Loss  0.876205, Time  0.445847
2021-09-25 00:55:51.961678 : Epoch  2, Batch    405, Loss  0.882657, Average Loss  0.876169, Time  0.446023
2021-09-25 00:55:57.991999 : Epoch  2, Batch    406, Loss  0.883345, Average Loss  0.876203, Time  0.447743
2021-09-25 00:56:04.010600 : Epoch  2, Batch    407, Loss  0.878382, Average Loss  0.876228, Time  0.449871
2021-09-25 00:56:10.028968 : Epoch  2, Batch    408, Loss  0.866570, Average Loss  0.876243, Time  0.445642
2021-09-25 00:56:16.074312 : Epoch  2, Batch    409, Loss  0.876874, Average Loss  0.876255, Time  0.459893
2021-09-25 00:56:22.152968 : Epoch  2, Batch    410, Loss  0.895468, Average Loss  0.876410, Time  0.447236
2021-09-25 00:56:28.163730 : Epoch  2, Batch    411, Loss  0.882844, Average Loss  0.876447, Time  0.445953
2021-09-25 00:56:34.185609 : Epoch  2, Batch    412, Loss  0.868176, Average Loss  0.876367, Time  0.445966
2021-09-25 00:56:40.226285 : Epoch  2, Batch    413, Loss  0.867423, Average Loss  0.876334, Time  0.447601
2021-09-25 00:56:46.236767 : Epoch  2, Batch    414, Loss  0.885781, Average Loss  0.876347, Time  0.445833
2021-09-25 00:56:52.292352 : Epoch  2, Batch    415, Loss  0.875457, Average Loss  0.876325, Time  0.447812
2021-09-25 00:56:58.290266 : Epoch  2, Batch    416, Loss  0.876145, Average Loss  0.876339, Time  0.445342
2021-09-25 00:56:59.513451 : CheckPoint: Validation Loss  0.00015411, Best Loss  0.00014886
2021-09-25 00:57:04.319303 : Epoch  2, Batch    417, Loss  0.874418, Average Loss  0.876415, Time  0.463884
2021-09-25 00:57:05.657432 : Epoch  2, Batch    773, Loss  0.874334, Average Loss  0.872784, Time  0.463857
2021-09-25 00:57:10.327573 : Epoch  2, Batch    418, Loss  0.869868, Average Loss  0.876346, Time  0.444875
2021-09-25 00:57:11.756219 : Epoch  2, Batch    774, Loss  0.864915, Average Loss  0.872806, Time  0.448526
2021-09-25 00:57:16.356375 : Epoch  2, Batch    419, Loss  0.881350, Average Loss  0.876294, Time  0.451407
2021-09-25 00:57:17.860853 : Epoch  2, Batch    775, Loss  0.888539, Average Loss  0.872886, Time  0.446408
2021-09-25 00:57:22.373760 : Epoch  2, Batch    420, Loss  0.868934, Average Loss  0.876260, Time  0.446256
2021-09-25 00:57:23.967150 : Epoch  2, Batch    776, Loss  0.881986, Average Loss  0.872974, Time  0.448272
2021-09-25 00:57:28.386789 : Epoch  2, Batch    421, Loss  0.885134, Average Loss  0.876317, Time  0.445871
2021-09-25 00:57:30.075789 : Epoch  2, Batch    777, Loss  0.877259, Average Loss  0.872995, Time  0.450291
2021-09-25 00:57:34.398930 : Epoch  2, Batch    422, Loss  0.872041, Average Loss  0.876234, Time  0.449231
2021-09-25 00:57:36.196279 : Epoch  2, Batch    778, Loss  0.874759, Average Loss  0.872996, Time  0.450093
2021-09-25 00:57:40.416419 : Epoch  2, Batch    423, Loss  0.886498, Average Loss  0.876277, Time  0.446333
2021-09-25 00:57:42.327757 : Epoch  2, Batch    779, Loss  0.881313, Average Loss  0.873058, Time  0.452294
2021-09-25 00:57:46.454144 : Epoch  2, Batch    424, Loss  0.867062, Average Loss  0.876223, Time  0.462996
2021-09-25 00:57:48.427505 : Epoch  2, Batch    780, Loss  0.883315, Average Loss  0.873153, Time  0.455199
2021-09-25 00:57:52.465102 : Epoch  2, Batch    425, Loss  0.873219, Average Loss  0.876243, Time  0.445528
2021-09-25 00:57:54.517755 : Epoch  2, Batch    781, Loss  0.866999, Average Loss  0.873124, Time  0.446397
2021-09-25 00:57:58.480301 : Epoch  2, Batch    426, Loss  0.887662, Average Loss  0.876311, Time  0.446783
2021-09-25 00:58:00.624269 : Epoch  2, Batch    782, Loss  0.865205, Average Loss  0.873103, Time  0.445908
2021-09-25 00:58:04.497441 : Epoch  2, Batch    427, Loss  0.884773, Average Loss  0.876440, Time  0.445490
2021-09-25 00:58:06.740826 : Epoch  2, Batch    783, Loss  0.888487, Average Loss  0.873151, Time  0.446031
2021-09-25 00:58:10.518759 : Epoch  2, Batch    428, Loss  0.874389, Average Loss  0.876482, Time  0.447589
2021-09-25 00:58:12.849074 : Epoch  2, Batch    784, Loss  0.870144, Average Loss  0.873116, Time  0.447841
2021-09-25 00:58:16.545888 : Epoch  2, Batch    429, Loss  0.877671, Average Loss  0.876480, Time  0.447506
2021-09-25 00:58:18.967985 : Epoch  2, Batch    785, Loss  0.855648, Average Loss  0.873043, Time  0.447407
2021-09-25 00:58:22.572395 : Epoch  2, Batch    430, Loss  0.875592, Average Loss  0.876471, Time  0.445996
2021-09-25 00:58:25.075462 : Epoch  2, Batch    786, Loss  0.877899, Average Loss  0.873067, Time  0.447878
2021-09-25 00:58:28.590335 : Epoch  2, Batch    431, Loss  0.882209, Average Loss  0.876467, Time  0.446801
2021-09-25 00:58:31.179085 : Epoch  2, Batch    787, Loss  0.885281, Average Loss  0.873231, Time  0.447716
2021-09-25 00:58:34.629614 : Epoch  2, Batch    432, Loss  0.882138, Average Loss  0.876482, Time  0.459237
2021-09-25 00:58:37.303972 : Epoch  2, Batch    788, Loss  0.868960, Average Loss  0.873173, Time  0.464804
2021-09-25 00:58:40.682098 : Epoch  2, Batch    433, Loss  0.878524, Average Loss  0.876518, Time  0.450076
2021-09-25 00:58:43.430672 : Epoch  2, Batch    789, Loss  0.878254, Average Loss  0.873142, Time  0.447643
2021-09-25 00:58:46.701313 : Epoch  2, Batch    434, Loss  0.870211, Average Loss  0.876502, Time  0.447620
2021-09-25 00:58:49.522248 : Epoch  2, Batch    790, Loss  0.869378, Average Loss  0.873083, Time  0.446774
2021-09-25 00:58:52.736039 : Epoch  2, Batch    435, Loss  0.876075, Average Loss  0.876513, Time  0.449249
2021-09-25 00:58:55.627675 : Epoch  2, Batch    791, Loss  0.886383, Average Loss  0.873126, Time  0.446678
2021-09-25 00:58:58.753643 : Epoch  2, Batch    436, Loss  0.880370, Average Loss  0.876549, Time  0.446141
2021-09-25 00:59:01.739442 : Epoch  2, Batch    792, Loss  0.882527, Average Loss  0.873145, Time  0.446325
2021-09-25 00:59:04.788722 : Epoch  2, Batch    437, Loss  0.900822, Average Loss  0.876650, Time  0.446792
2021-09-25 00:59:07.847832 : Epoch  2, Batch    793, Loss  0.881717, Average Loss  0.873268, Time  0.446095
2021-09-25 00:59:10.811056 : Epoch  2, Batch    438, Loss  0.871085, Average Loss  0.876603, Time  0.448692
2021-09-25 00:59:13.956406 : Epoch  2, Batch    794, Loss  0.864727, Average Loss  0.873202, Time  0.445990
2021-09-25 00:59:16.866086 : Epoch  2, Batch    439, Loss  0.878979, Average Loss  0.876638, Time  0.462740
2021-09-25 00:59:20.091799 : Epoch  2, Batch    795, Loss  0.867295, Average Loss  0.873181, Time  0.460833
2021-09-25 00:59:22.893368 : Epoch  2, Batch    440, Loss  0.880859, Average Loss  0.876593, Time  0.445704
2021-09-25 00:59:26.207171 : Epoch  2, Batch    796, Loss  0.867240, Average Loss  0.873134, Time  0.448043
2021-09-25 00:59:28.907826 : Epoch  2, Batch    441, Loss  0.878394, Average Loss  0.876633, Time  0.450643
2021-09-25 00:59:32.344577 : Epoch  2, Batch    797, Loss  0.872684, Average Loss  0.873075, Time  0.448583
2021-09-25 00:59:34.924626 : Epoch  2, Batch    442, Loss  0.870122, Average Loss  0.876590, Time  0.449374
2021-09-25 00:59:38.468760 : Epoch  2, Batch    798, Loss  0.885485, Average Loss  0.873090, Time  0.448265
2021-09-25 00:59:40.943165 : Epoch  2, Batch    443, Loss  0.865523, Average Loss  0.876580, Time  0.449097
2021-09-25 00:59:44.591901 : Epoch  2, Batch    799, Loss  0.878299, Average Loss  0.873063, Time  0.448166
2021-09-25 00:59:46.959656 : Epoch  2, Batch    444, Loss  0.866729, Average Loss  0.876489, Time  0.447300
2021-09-25 00:59:50.704821 : Epoch  2, Batch    800, Loss  0.877673, Average Loss  0.873070, Time  0.447912
2021-09-25 00:59:52.971086 : Epoch  2, Batch    445, Loss  0.874785, Average Loss  0.876497, Time  0.447975
2021-09-25 00:59:56.827199 : Epoch  2, Batch    801, Loss  0.877432, Average Loss  0.873006, Time  0.450565
2021-09-25 00:59:58.984486 : Epoch  2, Batch    446, Loss  0.873322, Average Loss  0.876513, Time  0.447863
2021-09-25 01:00:02.937166 : Epoch  2, Batch    802, Loss  0.876343, Average Loss  0.873027, Time  0.446174
2021-09-25 01:00:05.014093 : Epoch  2, Batch    447, Loss  0.873902, Average Loss  0.876436, Time  0.459739
2021-09-25 01:00:09.060763 : Epoch  2, Batch    803, Loss  0.864704, Average Loss  0.873022, Time  0.458281
2021-09-25 01:00:11.027007 : Epoch  2, Batch    448, Loss  0.871326, Average Loss  0.876458, Time  0.446617
2021-09-25 01:00:15.163418 : Epoch  2, Batch    804, Loss  0.877555, Average Loss  0.873075, Time  0.446525
2021-09-25 01:00:17.038842 : Epoch  2, Batch    449, Loss  0.881085, Average Loss  0.876486, Time  0.446831
2021-09-25 01:00:21.276876 : Epoch  2, Batch    805, Loss  0.857709, Average Loss  0.873006, Time  0.447830
2021-09-25 01:00:23.053212 : Epoch  2, Batch    450, Loss  0.865000, Average Loss  0.876480, Time  0.447090
2021-09-25 01:00:27.411044 : Epoch  2, Batch    806, Loss  0.876365, Average Loss  0.873022, Time  0.447441
2021-09-25 01:00:29.079959 : Epoch  2, Batch    451, Loss  0.881276, Average Loss  0.876528, Time  0.449582
2021-09-25 01:00:33.522726 : Epoch  2, Batch    807, Loss  0.864160, Average Loss  0.872980, Time  0.447183
2021-09-25 01:00:35.113030 : Epoch  2, Batch    452, Loss  0.865866, Average Loss  0.876491, Time  0.446351
2021-09-25 01:00:39.632639 : Epoch  2, Batch    808, Loss  0.896488, Average Loss  0.873119, Time  0.446044
2021-09-25 01:00:41.136526 : Epoch  2, Batch    453, Loss  0.862180, Average Loss  0.876397, Time  0.445521
2021-09-25 01:00:45.763021 : Epoch  2, Batch    809, Loss  0.879713, Average Loss  0.873153, Time  0.451880
2021-09-25 01:00:47.178308 : Epoch  2, Batch    454, Loss  0.863138, Average Loss  0.876358, Time  0.458456
2021-09-25 01:00:51.867377 : Epoch  2, Batch    810, Loss  0.863765, Average Loss  0.873106, Time  0.458711
2021-09-25 01:00:53.197215 : Epoch  2, Batch    455, Loss  0.878923, Average Loss  0.876334, Time  0.446994
2021-09-25 01:00:57.983091 : Epoch  2, Batch    811, Loss  0.861687, Average Loss  0.873009, Time  0.447364
2021-09-25 01:00:59.228600 : Epoch  2, Batch    456, Loss  0.872482, Average Loss  0.876247, Time  0.456017
2021-09-25 01:01:04.089746 : Epoch  2, Batch    812, Loss  0.877726, Average Loss  0.873089, Time  0.446231
2021-09-25 01:01:05.247136 : Epoch  2, Batch    457, Loss  0.892684, Average Loss  0.876375, Time  0.445671
2021-09-25 01:01:10.194382 : Epoch  2, Batch    813, Loss  0.876984, Average Loss  0.873085, Time  0.448422
2021-09-25 01:01:11.277404 : Epoch  2, Batch    458, Loss  0.869201, Average Loss  0.876370, Time  0.447361
2021-09-25 01:01:16.331352 : Epoch  2, Batch    814, Loss  0.875715, Average Loss  0.873076, Time  0.448710
2021-09-25 01:01:17.292313 : Epoch  2, Batch    459, Loss  0.879957, Average Loss  0.876353, Time  0.450068
2021-09-25 01:01:22.462163 : Epoch  2, Batch    815, Loss  0.870287, Average Loss  0.873148, Time  0.449737
2021-09-25 01:01:23.325362 : Epoch  2, Batch    460, Loss  0.884542, Average Loss  0.876433, Time  0.445707
2021-09-25 01:01:28.584276 : Epoch  2, Batch    816, Loss  0.892430, Average Loss  0.873200, Time  0.449633
2021-09-25 01:01:29.323455 : Epoch  2, Batch    461, Loss  0.884268, Average Loss  0.876441, Time  0.450085
2021-09-25 01:01:34.702736 : Epoch  2, Batch    817, Loss  0.878656, Average Loss  0.873228, Time  0.447762
2021-09-25 01:01:35.341881 : Epoch  2, Batch    462, Loss  0.893736, Average Loss  0.876509, Time  0.456188
2021-09-25 01:01:40.822154 : Epoch  2, Batch    818, Loss  0.884413, Average Loss  0.873255, Time  0.457673
2021-09-25 01:01:41.370578 : Epoch  2, Batch    463, Loss  0.870858, Average Loss  0.876449, Time  0.445857
2021-09-25 01:01:46.952579 : Epoch  2, Batch    819, Loss  0.857120, Average Loss  0.873146, Time  0.451020
2021-09-25 01:01:47.383344 : Epoch  2, Batch    464, Loss  0.874662, Average Loss  0.876425, Time  0.447696
2021-09-25 01:01:53.060381 : Epoch  2, Batch    820, Loss  0.876027, Average Loss  0.873196, Time  0.447681
2021-09-25 01:01:53.400205 : Epoch  2, Batch    465, Loss  0.869139, Average Loss  0.876406, Time  0.447124
2021-09-25 01:01:59.185449 : Epoch  2, Batch    821, Loss  0.876702, Average Loss  0.873170, Time  0.446781
2021-09-25 01:01:59.409615 : Epoch  2, Batch    466, Loss  0.873575, Average Loss  0.876505, Time  0.447254
2021-09-25 01:02:05.275406 : Epoch  2, Batch    822, Loss  0.868491, Average Loss  0.873140, Time  0.446356
2021-09-25 01:02:05.445005 : Epoch  2, Batch    467, Loss  0.869032, Average Loss  0.876442, Time  0.446570
2021-09-25 01:02:11.372191 : Epoch  2, Batch    823, Loss  0.872323, Average Loss  0.873138, Time  0.446158
2021-09-25 01:02:11.502346 : Epoch  2, Batch    468, Loss  0.878522, Average Loss  0.876413, Time  0.449611
2021-09-25 01:02:17.475370 : Epoch  2, Batch    824, Loss  0.887198, Average Loss  0.873207, Time  0.447944
2021-09-25 01:02:17.547533 : Epoch  2, Batch    469, Loss  0.867177, Average Loss  0.876345, Time  0.463503
2021-09-25 01:02:23.587861 : Epoch  2, Batch    470, Loss  0.898636, Average Loss  0.876462, Time  0.446644
2021-09-25 01:02:23.630731 : Epoch  2, Batch    825, Loss  0.891581, Average Loss  0.873188, Time  0.462916
2021-09-25 01:02:29.614887 : Epoch  2, Batch    471, Loss  0.879822, Average Loss  0.876451, Time  0.445829
2021-09-25 01:02:29.748713 : Epoch  2, Batch    826, Loss  0.871997, Average Loss  0.873204, Time  0.446855
2021-09-25 01:02:35.640309 : Epoch  2, Batch    472, Loss  0.872830, Average Loss  0.876438, Time  0.448527
2021-09-25 01:02:35.896215 : Epoch  2, Batch    827, Loss  0.864455, Average Loss  0.873229, Time  0.448704
2021-09-25 01:02:42.037573 : Epoch  2, Batch    828, Loss  0.876480, Average Loss  0.873266, Time  0.447444
2021-09-25 01:02:48.142790 : Epoch  2, Batch    829, Loss  0.869260, Average Loss  0.873296, Time  0.445829
2021-09-25 01:02:54.268519 : Epoch  2, Batch    830, Loss  0.872602, Average Loss  0.873205, Time  0.448156
2021-09-25 01:03:00.390361 : Epoch  2, Batch    831, Loss  0.872545, Average Loss  0.873202, Time  0.450072
2021-09-25 01:03:06.499994 : Epoch  2, Batch    832, Loss  0.859488, Average Loss  0.873140, Time  0.446710
2021-09-25 01:03:12.634845 : Epoch  2, Batch    833, Loss  0.880468, Average Loss  0.873211, Time  0.462509
2021-09-25 01:03:18.747952 : Epoch  2, Batch    834, Loss  0.875844, Average Loss  0.873216, Time  0.454234
2021-09-25 01:03:24.855621 : Epoch  2, Batch    835, Loss  0.878121, Average Loss  0.873301, Time  0.452316
2021-09-25 01:03:30.964414 : Epoch  2, Batch    836, Loss  0.885292, Average Loss  0.873342, Time  0.449193
2021-09-25 01:03:37.087213 : Epoch  2, Batch    837, Loss  0.872270, Average Loss  0.873354, Time  0.447250
2021-09-25 01:03:43.226066 : Epoch  2, Batch    838, Loss  0.870189, Average Loss  0.873385, Time  0.457208
2021-09-25 01:03:49.327456 : Epoch  2, Batch    839, Loss  0.872217, Average Loss  0.873414, Time  0.450712
2021-09-25 01:03:55.453627 : Epoch  2, Batch    840, Loss  0.875087, Average Loss  0.873474, Time  0.464520
2021-09-25 01:04:01.555725 : Epoch  2, Batch    841, Loss  0.875391, Average Loss  0.873396, Time  0.445869
2021-09-25 01:04:07.660417 : Epoch  2, Batch    842, Loss  0.867578, Average Loss  0.873338, Time  0.445349
2021-09-25 01:04:13.760687 : Epoch  2, Batch    843, Loss  0.863610, Average Loss  0.873317, Time  0.450585
2021-09-25 01:04:19.870281 : Epoch  2, Batch    844, Loss  0.866860, Average Loss  0.873324, Time  0.445860
2021-09-25 01:04:25.993640 : Epoch  2, Batch    845, Loss  0.866464, Average Loss  0.873288, Time  0.446903
2021-09-25 01:04:32.113447 : Epoch  2, Batch    846, Loss  0.870889, Average Loss  0.873350, Time  0.454071
2021-09-25 01:04:38.207206 : Epoch  2, Batch    847, Loss  0.864978, Average Loss  0.873328, Time  0.447210
2021-09-25 01:04:44.339326 : Epoch  2, Batch    848, Loss  0.875276, Average Loss  0.873302, Time  0.458092
2021-09-25 01:04:50.459271 : Epoch  2, Batch    849, Loss  0.870407, Average Loss  0.873247, Time  0.446844
2021-09-25 01:04:56.564558 : Epoch  2, Batch    850, Loss  0.881476, Average Loss  0.873289, Time  0.446785
2021-09-25 01:05:02.666924 : Epoch  2, Batch    851, Loss  0.857697, Average Loss  0.873185, Time  0.459742
2021-09-25 01:05:08.795183 : Epoch  2, Batch    852, Loss  0.883284, Average Loss  0.873184, Time  0.453685
2021-09-25 01:05:14.901070 : Epoch  2, Batch    853, Loss  0.868333, Average Loss  0.873101, Time  0.447337
2021-09-25 01:05:21.024084 : Epoch  2, Batch    854, Loss  0.888770, Average Loss  0.873109, Time  0.450948
2021-09-25 01:05:27.153565 : Epoch  2, Batch    855, Loss  0.882517, Average Loss  0.873233, Time  0.455192
2021-09-25 01:05:33.269608 : Epoch  2, Batch    856, Loss  0.867492, Average Loss  0.873272, Time  0.450206
2021-09-25 01:05:39.392566 : Epoch  2, Batch    857, Loss  0.873965, Average Loss  0.873235, Time  0.447670
2021-09-25 01:05:45.522644 : Epoch  2, Batch    858, Loss  0.871454, Average Loss  0.873264, Time  0.450314
2021-09-25 01:05:51.631115 : Epoch  2, Batch    859, Loss  0.866064, Average Loss  0.873292, Time  0.447098
2021-09-25 01:05:57.741683 : Epoch  2, Batch    860, Loss  0.884231, Average Loss  0.873319, Time  0.445740
2021-09-25 01:06:03.848079 : Epoch  2, Batch    861, Loss  0.886629, Average Loss  0.873384, Time  0.446670
2021-09-25 01:06:09.954615 : Epoch  2, Batch    862, Loss  0.872338, Average Loss  0.873337, Time  0.454125
2021-09-25 01:06:16.074193 : Epoch  2, Batch    863, Loss  0.865724, Average Loss  0.873297, Time  0.463544
2021-09-25 01:06:22.199178 : Epoch  2, Batch    864, Loss  0.871533, Average Loss  0.873275, Time  0.448912
2021-09-25 01:06:28.309650 : Epoch  2, Batch    865, Loss  0.887976, Average Loss  0.873300, Time  0.446955
2021-09-25 01:06:34.418831 : Epoch  2, Batch    866, Loss  0.873048, Average Loss  0.873227, Time  0.447112
2021-09-25 01:06:40.520953 : Epoch  2, Batch    867, Loss  0.875551, Average Loss  0.873260, Time  0.450827
2021-09-25 01:06:46.641426 : Epoch  2, Batch    868, Loss  0.876032, Average Loss  0.873228, Time  0.446396
2021-09-25 01:06:52.755507 : Epoch  2, Batch    869, Loss  0.858821, Average Loss  0.873196, Time  0.445926
2021-09-25 01:06:58.868506 : Epoch  2, Batch    870, Loss  0.894828, Average Loss  0.873292, Time  0.456606
2021-09-25 01:07:04.986375 : Epoch  2, Batch    871, Loss  0.873954, Average Loss  0.873271, Time  0.450513
2021-09-25 01:07:11.097565 : Epoch  2, Batch    872, Loss  0.871102, Average Loss  0.873255, Time  0.447196
2021-09-25 01:07:23.188387 : CheckPoint: Validation Loss  0.00014971, Best Loss  0.00014852
2021-09-25 01:07:29.215960 : Epoch  2, Batch    473, Loss  0.879833, Average Loss  0.876522, Time  0.449045
2021-09-25 01:07:35.226546 : Epoch  2, Batch    474, Loss  0.871859, Average Loss  0.876435, Time  0.445655
2021-09-25 01:07:41.283723 : Epoch  2, Batch    475, Loss  0.874118, Average Loss  0.876408, Time  0.458654
2021-09-25 01:07:47.314804 : Epoch  2, Batch    476, Loss  0.854725, Average Loss  0.876354, Time  0.445727
2021-09-25 01:07:53.346967 : Epoch  2, Batch    477, Loss  0.871165, Average Loss  0.876398, Time  0.450492
2021-09-25 01:07:59.366912 : Epoch  2, Batch    478, Loss  0.866365, Average Loss  0.876296, Time  0.446425
2021-09-25 01:08:05.389029 : Epoch  2, Batch    479, Loss  0.869923, Average Loss  0.876188, Time  0.446383
2021-09-25 01:08:11.405599 : Epoch  2, Batch    480, Loss  0.879857, Average Loss  0.876190, Time  0.447665
2021-09-25 01:08:17.439981 : Epoch  2, Batch    481, Loss  0.865981, Average Loss  0.876083, Time  0.448819
2021-09-25 01:08:23.466188 : Epoch  2, Batch    482, Loss  0.867835, Average Loss  0.876014, Time  0.452103
2021-09-25 01:08:29.471108 : Epoch  2, Batch    483, Loss  0.875195, Average Loss  0.875981, Time  0.446185
2021-09-25 01:08:35.469291 : Epoch  2, Batch    484, Loss  0.874630, Average Loss  0.875975, Time  0.445592
2021-09-25 01:08:41.489756 : Epoch  2, Batch    485, Loss  0.872813, Average Loss  0.875923, Time  0.447589
2021-09-25 01:08:47.534971 : Epoch  2, Batch    486, Loss  0.875181, Average Loss  0.875924, Time  0.448658
2021-09-25 01:08:53.556819 : Epoch  2, Batch    487, Loss  0.877244, Average Loss  0.875860, Time  0.447419
2021-09-25 01:08:59.564763 : Epoch  2, Batch    488, Loss  0.894641, Average Loss  0.875987, Time  0.446769
2021-09-25 01:09:05.591859 : Epoch  2, Batch    489, Loss  0.870084, Average Loss  0.875967, Time  0.446807
2021-09-25 01:09:11.646858 : Epoch  2, Batch    490, Loss  0.875375, Average Loss  0.875978, Time  0.461051
2021-09-25 01:09:17.659735 : Epoch  2, Batch    491, Loss  0.876319, Average Loss  0.875979, Time  0.446071
2021-09-25 01:09:23.692049 : Epoch  2, Batch    492, Loss  0.875117, Average Loss  0.875971, Time  0.461725
2021-09-25 01:09:29.702737 : Epoch  2, Batch    493, Loss  0.865901, Average Loss  0.875933, Time  0.445572
2021-09-25 01:09:35.721577 : Epoch  2, Batch    494, Loss  0.863886, Average Loss  0.875841, Time  0.446556
2021-09-25 01:09:41.749220 : Epoch  2, Batch    495, Loss  0.873252, Average Loss  0.875773, Time  0.447329
2021-09-25 01:09:47.758544 : Epoch  2, Batch    496, Loss  0.887176, Average Loss  0.875862, Time  0.445560
2021-09-25 01:09:53.791857 : Epoch  2, Batch    497, Loss  0.873854, Average Loss  0.875835, Time  0.463230
2021-09-25 01:09:59.818491 : Epoch  2, Batch    498, Loss  0.894169, Average Loss  0.875896, Time  0.447118
2021-09-25 01:10:05.822454 : Epoch  2, Batch    499, Loss  0.889728, Average Loss  0.876000, Time  0.445223
2021-09-25 01:10:11.840082 : Epoch  2, Batch    500, Loss  0.868354, Average Loss  0.875929, Time  0.448964
2021-09-25 01:10:17.858110 : Epoch  2, Batch    501, Loss  0.880393, Average Loss  0.875969, Time  0.451055
2021-09-25 01:10:23.878737 : Epoch  2, Batch    502, Loss  0.876474, Average Loss  0.876020, Time  0.444984
2021-09-25 01:10:29.885916 : Epoch  2, Batch    503, Loss  0.890387, Average Loss  0.876077, Time  0.447542
2021-09-25 01:10:35.896188 : Epoch  2, Batch    504, Loss  0.869385, Average Loss  0.876112, Time  0.448321
2021-09-25 01:10:41.925489 : Epoch  2, Batch    505, Loss  0.866889, Average Loss  0.876093, Time  0.466401
2021-09-25 01:10:47.948498 : Epoch  2, Batch    506, Loss  0.879140, Average Loss  0.876041, Time  0.445843
2021-09-25 01:10:53.989709 : Epoch  2, Batch    507, Loss  0.855202, Average Loss  0.875864, Time  0.453562
2021-09-25 01:11:00.015562 : Epoch  2, Batch    508, Loss  0.885963, Average Loss  0.875914, Time  0.450744
2021-09-25 01:11:06.031882 : Epoch  2, Batch    509, Loss  0.892733, Average Loss  0.876032, Time  0.447286
2021-09-25 01:11:12.063124 : Epoch  2, Batch    510, Loss  0.869533, Average Loss  0.876033, Time  0.448278
2021-09-25 01:11:18.110110 : Epoch  2, Batch    511, Loss  0.878150, Average Loss  0.875997, Time  0.452396
2021-09-25 01:11:24.158475 : Epoch  2, Batch    512, Loss  0.885578, Average Loss  0.876082, Time  0.465170
2021-09-25 01:11:30.193047 : Epoch  2, Batch    513, Loss  0.883470, Average Loss  0.876099, Time  0.446373
2021-09-25 01:11:36.220852 : Epoch  2, Batch    514, Loss  0.870384, Average Loss  0.876014, Time  0.447090
2021-09-25 01:11:42.258252 : Epoch  2, Batch    515, Loss  0.871297, Average Loss  0.876032, Time  0.447775
2021-09-25 01:11:48.281321 : Epoch  2, Batch    516, Loss  0.883492, Average Loss  0.876041, Time  0.448608
2021-09-25 01:11:54.324656 : Epoch  2, Batch    517, Loss  0.868398, Average Loss  0.876070, Time  0.453309
2021-09-25 01:12:00.369816 : Epoch  2, Batch    518, Loss  0.888156, Average Loss  0.876122, Time  0.449397
2021-09-25 01:12:01.498992 : CheckPoint: Validation Loss  0.00015446, Best Loss  0.00014886
2021-09-25 01:12:06.401755 : Epoch  2, Batch    519, Loss  0.877539, Average Loss  0.876171, Time  0.447051
2021-09-25 01:12:07.597464 : Epoch  2, Batch    873, Loss  0.871220, Average Loss  0.873243, Time  0.447572
2021-09-25 01:12:12.410908 : Epoch  2, Batch    520, Loss  0.887037, Average Loss  0.876257, Time  0.456129
2021-09-25 01:12:13.690731 : Epoch  2, Batch    874, Loss  0.874945, Average Loss  0.873294, Time  0.446677
2021-09-25 01:12:18.432957 : Epoch  2, Batch    521, Loss  0.862468, Average Loss  0.876133, Time  0.446308
2021-09-25 01:12:19.803454 : Epoch  2, Batch    875, Loss  0.868496, Average Loss  0.873278, Time  0.446059
2021-09-25 01:12:24.471662 : Epoch  2, Batch    522, Loss  0.879718, Average Loss  0.876169, Time  0.450199
2021-09-25 01:12:25.917691 : Epoch  2, Batch    876, Loss  0.876656, Average Loss  0.873302, Time  0.460809
2021-09-25 01:12:30.514080 : Epoch  2, Batch    523, Loss  0.874083, Average Loss  0.876230, Time  0.450831
2021-09-25 01:12:32.013927 : Epoch  2, Batch    877, Loss  0.858259, Average Loss  0.873229, Time  0.451155
2021-09-25 01:12:36.545535 : Epoch  2, Batch    524, Loss  0.876483, Average Loss  0.876300, Time  0.449966
2021-09-25 01:12:38.121215 : Epoch  2, Batch    878, Loss  0.880817, Average Loss  0.873273, Time  0.446877
2021-09-25 01:12:42.574511 : Epoch  2, Batch    525, Loss  0.866520, Average Loss  0.876220, Time  0.450707
2021-09-25 01:12:44.237842 : Epoch  2, Batch    879, Loss  0.860632, Average Loss  0.873219, Time  0.449168
2021-09-25 01:12:48.606374 : Epoch  2, Batch    526, Loss  0.882896, Average Loss  0.876237, Time  0.445747
2021-09-25 01:12:50.339803 : Epoch  2, Batch    880, Loss  0.879471, Average Loss  0.873292, Time  0.445997
2021-09-25 01:12:54.652375 : Epoch  2, Batch    527, Loss  0.869304, Average Loss  0.876227, Time  0.457860
2021-09-25 01:12:56.453753 : Epoch  2, Batch    881, Loss  0.880655, Average Loss  0.873405, Time  0.449608
2021-09-25 01:13:00.685064 : Epoch  2, Batch    528, Loss  0.878291, Average Loss  0.876280, Time  0.448232
2021-09-25 01:13:02.545364 : Epoch  2, Batch    882, Loss  0.874429, Average Loss  0.873419, Time  0.446818
2021-09-25 01:13:06.725918 : Epoch  2, Batch    529, Loss  0.875706, Average Loss  0.876228, Time  0.461537
2021-09-25 01:13:08.648788 : Epoch  2, Batch    883, Loss  0.886313, Average Loss  0.873457, Time  0.461521
2021-09-25 01:13:12.742379 : Epoch  2, Batch    530, Loss  0.870587, Average Loss  0.876202, Time  0.449177
2021-09-25 01:13:14.725475 : Epoch  2, Batch    884, Loss  0.885599, Average Loss  0.873546, Time  0.448570
2021-09-25 01:13:18.765619 : Epoch  2, Batch    531, Loss  0.859680, Average Loss  0.876093, Time  0.445648
2021-09-25 01:13:20.842250 : Epoch  2, Batch    885, Loss  0.874471, Average Loss  0.873522, Time  0.447538
2021-09-25 01:13:24.814008 : Epoch  2, Batch    532, Loss  0.882695, Average Loss  0.876098, Time  0.448705
2021-09-25 01:13:26.956740 : Epoch  2, Batch    886, Loss  0.891993, Average Loss  0.873628, Time  0.450593
2021-09-25 01:13:30.847885 : Epoch  2, Batch    533, Loss  0.861559, Average Loss  0.876054, Time  0.449379
2021-09-25 01:13:33.042139 : Epoch  2, Batch    887, Loss  0.881660, Average Loss  0.873659, Time  0.446025
2021-09-25 01:13:36.871626 : Epoch  2, Batch    534, Loss  0.885579, Average Loss  0.876216, Time  0.446741
2021-09-25 01:13:39.144107 : Epoch  2, Batch    888, Loss  0.873577, Average Loss  0.873654, Time  0.446830
2021-09-25 01:13:42.902835 : Epoch  2, Batch    535, Loss  0.868332, Average Loss  0.876127, Time  0.462470
2021-09-25 01:13:45.241841 : Epoch  2, Batch    889, Loss  0.863230, Average Loss  0.873646, Time  0.446357
2021-09-25 01:13:48.935284 : Epoch  2, Batch    536, Loss  0.866232, Average Loss  0.876055, Time  0.450702
2021-09-25 01:13:51.337332 : Epoch  2, Batch    890, Loss  0.859727, Average Loss  0.873575, Time  0.446119
2021-09-25 01:13:54.969976 : Epoch  2, Batch    537, Loss  0.876140, Average Loss  0.876078, Time  0.451602
2021-09-25 01:13:57.448920 : Epoch  2, Batch    891, Loss  0.872547, Average Loss  0.873564, Time  0.461008
2021-09-25 01:14:00.995271 : Epoch  2, Batch    538, Loss  0.866259, Average Loss  0.876010, Time  0.450975
2021-09-25 01:14:03.541817 : Epoch  2, Batch    892, Loss  0.868740, Average Loss  0.873494, Time  0.447349
2021-09-25 01:14:07.014916 : Epoch  2, Batch    539, Loss  0.873567, Average Loss  0.875934, Time  0.448089
2021-09-25 01:14:09.655929 : Epoch  2, Batch    893, Loss  0.874901, Average Loss  0.873546, Time  0.450139
2021-09-25 01:14:13.053494 : Epoch  2, Batch    540, Loss  0.879730, Average Loss  0.875987, Time  0.445952
2021-09-25 01:14:15.747803 : Epoch  2, Batch    894, Loss  0.868644, Average Loss  0.873539, Time  0.448010
2021-09-25 01:14:19.073335 : Epoch  2, Batch    541, Loss  0.881968, Average Loss  0.875960, Time  0.446584
2021-09-25 01:14:21.859840 : Epoch  2, Batch    895, Loss  0.866128, Average Loss  0.873521, Time  0.447566
2021-09-25 01:14:25.106965 : Epoch  2, Batch    542, Loss  0.855028, Average Loss  0.875912, Time  0.456718
2021-09-25 01:14:27.978633 : Epoch  2, Batch    896, Loss  0.880522, Average Loss  0.873631, Time  0.448081
2021-09-25 01:14:31.133861 : Epoch  2, Batch    543, Loss  0.874183, Average Loss  0.875808, Time  0.449040
2021-09-25 01:14:34.078040 : Epoch  2, Batch    897, Loss  0.860968, Average Loss  0.873541, Time  0.447780
2021-09-25 01:14:37.148572 : Epoch  2, Batch    544, Loss  0.864629, Average Loss  0.875753, Time  0.448048
2021-09-25 01:14:40.169965 : Epoch  2, Batch    898, Loss  0.862320, Average Loss  0.873521, Time  0.455486
2021-09-25 01:14:43.164968 : Epoch  2, Batch    545, Loss  0.864861, Average Loss  0.875713, Time  0.446121
2021-09-25 01:14:46.270332 : Epoch  2, Batch    899, Loss  0.876547, Average Loss  0.873501, Time  0.448586
2021-09-25 01:14:49.197093 : Epoch  2, Batch    546, Loss  0.871256, Average Loss  0.875679, Time  0.446579
2021-09-25 01:14:52.361761 : Epoch  2, Batch    900, Loss  0.875394, Average Loss  0.873503, Time  0.446537
2021-09-25 01:14:55.207317 : Epoch  2, Batch    547, Loss  0.873128, Average Loss  0.875615, Time  0.445586
2021-09-25 01:14:58.459922 : Epoch  2, Batch    901, Loss  0.877021, Average Loss  0.873512, Time  0.446072
2021-09-25 01:15:01.242660 : Epoch  2, Batch    548, Loss  0.873873, Average Loss  0.875525, Time  0.447012
2021-09-25 01:15:04.565312 : Epoch  2, Batch    902, Loss  0.868398, Average Loss  0.873419, Time  0.449573
2021-09-25 01:15:07.259899 : Epoch  2, Batch    549, Loss  0.869572, Average Loss  0.875471, Time  0.446070
2021-09-25 01:15:10.663960 : Epoch  2, Batch    903, Loss  0.868859, Average Loss  0.873433, Time  0.447006
2021-09-25 01:15:13.297553 : Epoch  2, Batch    550, Loss  0.865168, Average Loss  0.875480, Time  0.464848
2021-09-25 01:15:16.760687 : Epoch  2, Batch    904, Loss  0.881518, Average Loss  0.873578, Time  0.449157
2021-09-25 01:15:19.333859 : Epoch  2, Batch    551, Loss  0.882749, Average Loss  0.875535, Time  0.455124
2021-09-25 01:15:22.889141 : Epoch  2, Batch    905, Loss  0.885088, Average Loss  0.873553, Time  0.451715
2021-09-25 01:15:25.343658 : Epoch  2, Batch    552, Loss  0.879922, Average Loss  0.875549, Time  0.448727
2021-09-25 01:15:29.006825 : Epoch  2, Batch    906, Loss  0.875200, Average Loss  0.873590, Time  0.461493
2021-09-25 01:15:31.376064 : Epoch  2, Batch    553, Loss  0.881906, Average Loss  0.875609, Time  0.446470
2021-09-25 01:15:35.127701 : Epoch  2, Batch    907, Loss  0.876694, Average Loss  0.873637, Time  0.450287
2021-09-25 01:15:35.818013 : Epoch  2, Batch    554, Loss  0.883378, Average Loss  0.875642, Time  0.347765
2021-09-25 01:15:41.240263 : Epoch  2, Batch    908, Loss  0.875580, Average Loss  0.873677, Time  0.447029
2021-09-25 01:15:41.847827 : Epoch  2, Batch    555, Loss  0.872461, Average Loss  0.875705, Time  0.446069
2021-09-25 01:15:47.360368 : Epoch  2, Batch    909, Loss  0.893231, Average Loss  0.873777, Time  0.449955
2021-09-25 01:15:47.876226 : Epoch  2, Batch    556, Loss  0.863101, Average Loss  0.875555, Time  0.447448
2021-09-25 01:15:53.477413 : Epoch  2, Batch    910, Loss  0.870996, Average Loss  0.873681, Time  0.450244
2021-09-25 01:15:53.900877 : Epoch  2, Batch    557, Loss  0.892152, Average Loss  0.875701, Time  0.446843
2021-09-25 01:15:59.599071 : Epoch  2, Batch    911, Loss  0.872946, Average Loss  0.873707, Time  0.446979
2021-09-25 01:15:59.945377 : Epoch  2, Batch    558, Loss  0.876637, Average Loss  0.875655, Time  0.459300
2021-09-25 01:16:05.711024 : Epoch  2, Batch    912, Loss  0.875147, Average Loss  0.873735, Time  0.449510
2021-09-25 01:16:05.963334 : Epoch  2, Batch    559, Loss  0.884552, Average Loss  0.875697, Time  0.446310
2021-09-25 01:16:11.818979 : Epoch  2, Batch    913, Loss  0.868971, Average Loss  0.873718, Time  0.461703
2021-09-25 01:16:11.985195 : Epoch  2, Batch    560, Loss  0.866823, Average Loss  0.875652, Time  0.450746
2021-09-25 01:16:17.923750 : Epoch  2, Batch    914, Loss  0.872534, Average Loss  0.873694, Time  0.446847
2021-09-25 01:16:18.020842 : Epoch  2, Batch    561, Loss  0.864655, Average Loss  0.875558, Time  0.447332
2021-09-25 01:16:24.027254 : Epoch  2, Batch    915, Loss  0.879532, Average Loss  0.873847, Time  0.449407
2021-09-25 01:16:24.058617 : Epoch  2, Batch    562, Loss  0.874660, Average Loss  0.875569, Time  0.445772
2021-09-25 01:16:30.096184 : Epoch  2, Batch    563, Loss  0.878260, Average Loss  0.875636, Time  0.453299
2021-09-25 01:16:30.157004 : Epoch  2, Batch    916, Loss  0.868355, Average Loss  0.873841, Time  0.448414
2021-09-25 01:16:36.120939 : Epoch  2, Batch    564, Loss  0.873162, Average Loss  0.875630, Time  0.452580
2021-09-25 01:16:36.251140 : Epoch  2, Batch    917, Loss  0.873000, Average Loss  0.873843, Time  0.446969
2021-09-25 01:16:42.142990 : Epoch  2, Batch    565, Loss  0.880651, Average Loss  0.875673, Time  0.459479
2021-09-25 01:16:42.348522 : Epoch  2, Batch    918, Loss  0.867551, Average Loss  0.873797, Time  0.446601
2021-09-25 01:16:48.170341 : Epoch  2, Batch    566, Loss  0.880979, Average Loss  0.875699, Time  0.446639
2021-09-25 01:16:48.455470 : Epoch  2, Batch    919, Loss  0.855815, Average Loss  0.873639, Time  0.455288
2021-09-25 01:16:54.190975 : Epoch  2, Batch    567, Loss  0.886566, Average Loss  0.875753, Time  0.447035
2021-09-25 01:16:54.560126 : Epoch  2, Batch    920, Loss  0.873207, Average Loss  0.873586, Time  0.447703
2021-09-25 01:17:00.215238 : Epoch  2, Batch    568, Loss  0.878477, Average Loss  0.875807, Time  0.449651
2021-09-25 01:17:00.698908 : Epoch  2, Batch    921, Loss  0.868531, Average Loss  0.873600, Time  0.464441
2021-09-25 01:17:06.245533 : Epoch  2, Batch    569, Loss  0.858280, Average Loss  0.875709, Time  0.445768
2021-09-25 01:17:06.792855 : Epoch  2, Batch    922, Loss  0.864396, Average Loss  0.873467, Time  0.446027
2021-09-25 01:17:12.261553 : Epoch  2, Batch    570, Loss  0.868529, Average Loss  0.875740, Time  0.445821
2021-09-25 01:17:12.888974 : Epoch  2, Batch    923, Loss  0.857761, Average Loss  0.873351, Time  0.457028
2021-09-25 01:17:18.281334 : Epoch  2, Batch    571, Loss  0.862010, Average Loss  0.875604, Time  0.446253
2021-09-25 01:17:18.979989 : Epoch  2, Batch    924, Loss  0.867804, Average Loss  0.873313, Time  0.447441
2021-09-25 01:17:24.306045 : Epoch  2, Batch    572, Loss  0.868737, Average Loss  0.875593, Time  0.446362
2021-09-25 01:17:25.077409 : Epoch  2, Batch    925, Loss  0.870183, Average Loss  0.873342, Time  0.446952
2021-09-25 01:17:31.199563 : Epoch  2, Batch    926, Loss  0.874475, Average Loss  0.873351, Time  0.449073
2021-09-25 01:17:37.305938 : Epoch  2, Batch    927, Loss  0.878971, Average Loss  0.873390, Time  0.447549
2021-09-25 01:17:43.424999 : Epoch  2, Batch    928, Loss  0.880501, Average Loss  0.873425, Time  0.468223
2021-09-25 01:17:43.466778 : Saving Model after 2-th Epoch.
2021-09-25 01:17:44.327673 : Epoch Finished.
2021-09-25 01:17:52.449747 : Batch Shuffled
2021-09-25 01:17:58.582344 : Epoch  3, Batch      1, Loss  0.874692, Average Loss  0.873482, Time  0.446171
2021-09-25 01:18:04.714614 : Epoch  3, Batch      2, Loss  0.869400, Average Loss  0.873486, Time  0.450080
2021-09-25 01:18:10.855950 : Epoch  3, Batch      3, Loss  0.872675, Average Loss  0.873500, Time  0.446157
2021-09-25 01:18:17.006095 : Epoch  3, Batch      4, Loss  0.865615, Average Loss  0.873510, Time  0.447806
2021-09-25 01:18:23.146311 : Epoch  3, Batch      5, Loss  0.877046, Average Loss  0.873576, Time  0.450870
2021-09-25 01:18:29.304684 : Epoch  3, Batch      6, Loss  0.879400, Average Loss  0.873590, Time  0.457877
2021-09-25 01:18:35.448624 : Epoch  3, Batch      7, Loss  0.868177, Average Loss  0.873573, Time  0.447122
2021-09-25 01:18:41.584879 : Epoch  3, Batch      8, Loss  0.873099, Average Loss  0.873534, Time  0.447572
2021-09-25 01:18:47.731236 : Epoch  3, Batch      9, Loss  0.874688, Average Loss  0.873592, Time  0.447556
2021-09-25 01:18:53.869290 : Epoch  3, Batch     10, Loss  0.867789, Average Loss  0.873572, Time  0.453110
2021-09-25 01:19:00.005691 : Epoch  3, Batch     11, Loss  0.869185, Average Loss  0.873626, Time  0.447598
2021-09-25 01:19:06.155446 : Epoch  3, Batch     12, Loss  0.869931, Average Loss  0.873579, Time  0.446959
2021-09-25 01:19:12.289918 : Epoch  3, Batch     13, Loss  0.893295, Average Loss  0.873668, Time  0.447715
2021-09-25 01:19:18.447756 : Epoch  3, Batch     14, Loss  0.876063, Average Loss  0.873654, Time  0.452991
2021-09-25 01:19:24.560618 : Epoch  3, Batch     15, Loss  0.874719, Average Loss  0.873633, Time  0.452380
2021-09-25 01:19:30.692333 : Epoch  3, Batch     16, Loss  0.875603, Average Loss  0.873649, Time  0.447083
2021-09-25 01:19:36.847122 : Epoch  3, Batch     17, Loss  0.876552, Average Loss  0.873678, Time  0.447669
2021-09-25 01:19:42.991927 : Epoch  3, Batch     18, Loss  0.875659, Average Loss  0.873684, Time  0.452907
2021-09-25 01:19:49.113684 : Epoch  3, Batch     19, Loss  0.879283, Average Loss  0.873766, Time  0.448595
2021-09-25 01:19:55.246174 : Epoch  3, Batch     20, Loss  0.875071, Average Loss  0.873756, Time  0.446435
2021-09-25 01:20:01.384548 : Epoch  3, Batch     21, Loss  0.876834, Average Loss  0.873814, Time  0.455156
2021-09-25 01:20:07.512438 : Epoch  3, Batch     22, Loss  0.861101, Average Loss  0.873815, Time  0.447454
2021-09-25 01:20:13.645257 : Epoch  3, Batch     23, Loss  0.872076, Average Loss  0.873849, Time  0.446936
2021-09-25 01:20:19.782712 : Epoch  3, Batch     24, Loss  0.879531, Average Loss  0.873857, Time  0.449184
2021-09-25 01:20:25.914854 : Epoch  3, Batch     25, Loss  0.881170, Average Loss  0.873998, Time  0.446052
2021-09-25 01:20:32.033677 : Epoch  3, Batch     26, Loss  0.874656, Average Loss  0.873954, Time  0.446912
2021-09-25 01:20:38.180535 : Epoch  3, Batch     27, Loss  0.868750, Average Loss  0.873985, Time  0.447655
2021-09-25 01:20:44.320440 : Epoch  3, Batch     28, Loss  0.871553, Average Loss  0.873928, Time  0.448642
2021-09-25 01:20:50.470432 : Epoch  3, Batch     29, Loss  0.874578, Average Loss  0.873918, Time  0.459567
2021-09-25 01:20:56.609140 : Epoch  3, Batch     30, Loss  0.886298, Average Loss  0.874028, Time  0.450223
2021-09-25 01:21:02.754287 : Epoch  3, Batch     31, Loss  0.870636, Average Loss  0.873970, Time  0.447129
2021-09-25 01:21:08.887704 : Epoch  3, Batch     32, Loss  0.871297, Average Loss  0.874002, Time  0.447908
2021-09-25 01:21:15.014901 : Epoch  3, Batch     33, Loss  0.861485, Average Loss  0.873954, Time  0.445634
2021-09-25 01:21:21.134356 : Epoch  3, Batch     34, Loss  0.876040, Average Loss  0.873921, Time  0.445887
2021-09-25 01:21:27.264683 : Epoch  3, Batch     35, Loss  0.872118, Average Loss  0.873890, Time  0.445803
2021-09-25 01:21:33.407312 : Epoch  3, Batch     36, Loss  0.869540, Average Loss  0.873884, Time  0.458388
2021-09-25 01:21:39.559177 : Epoch  3, Batch     37, Loss  0.884207, Average Loss  0.873917, Time  0.447876
2021-09-25 01:21:45.675959 : Epoch  3, Batch     38, Loss  0.860960, Average Loss  0.873932, Time  0.446410
2021-09-25 01:21:51.798630 : Epoch  3, Batch     39, Loss  0.884124, Average Loss  0.873975, Time  0.447306
2021-09-25 01:21:57.934175 : Epoch  3, Batch     40, Loss  0.850616, Average Loss  0.873872, Time  0.450284
2021-09-25 01:22:04.083735 : Epoch  3, Batch     41, Loss  0.868991, Average Loss  0.873862, Time  0.445944
2021-09-25 01:22:10.248017 : Epoch  3, Batch     42, Loss  0.873994, Average Loss  0.873848, Time  0.451091
2021-09-25 01:22:11.633862 : CheckPoint: Validation Loss  0.00015293, Best Loss  0.00014852
2021-09-25 01:22:16.402961 : Epoch  3, Batch     43, Loss  0.870468, Average Loss  0.873813, Time  0.448796
2021-09-25 01:22:17.650869 : Epoch  2, Batch    573, Loss  0.883588, Average Loss  0.875651, Time  0.449627
2021-09-25 01:22:22.556173 : Epoch  3, Batch     44, Loss  0.878204, Average Loss  0.873836, Time  0.461173
2021-09-25 01:22:23.655343 : Epoch  2, Batch    574, Loss  0.861850, Average Loss  0.875629, Time  0.446811
2021-09-25 01:22:29.690054 : Epoch  2, Batch    575, Loss  0.881108, Average Loss  0.875697, Time  0.446833
2021-09-25 01:22:35.705955 : Epoch  2, Batch    576, Loss  0.887574, Average Loss  0.875850, Time  0.445705
2021-09-25 01:22:41.726220 : Epoch  2, Batch    577, Loss  0.872693, Average Loss  0.875866, Time  0.456627
2021-09-25 01:22:47.755813 : Epoch  2, Batch    578, Loss  0.874308, Average Loss  0.875877, Time  0.458187
2021-09-25 01:22:53.773421 : Epoch  2, Batch    579, Loss  0.875589, Average Loss  0.875928, Time  0.448431
2021-09-25 01:22:59.806258 : Epoch  2, Batch    580, Loss  0.878574, Average Loss  0.875904, Time  0.446084
2021-09-25 01:23:05.851566 : Epoch  2, Batch    581, Loss  0.877418, Average Loss  0.875919, Time  0.449423
2021-09-25 01:23:11.899457 : Epoch  2, Batch    582, Loss  0.884824, Average Loss  0.875930, Time  0.450032
2021-09-25 01:23:17.966769 : Epoch  2, Batch    583, Loss  0.885493, Average Loss  0.875938, Time  0.452927
2021-09-25 01:23:23.998559 : Epoch  2, Batch    584, Loss  0.879257, Average Loss  0.875955, Time  0.453799
2021-09-25 01:23:30.042218 : Epoch  2, Batch    585, Loss  0.870116, Average Loss  0.875999, Time  0.447506
2021-09-25 01:23:36.091373 : Epoch  2, Batch    586, Loss  0.877944, Average Loss  0.876045, Time  0.455778
2021-09-25 01:23:42.133358 : Epoch  2, Batch    587, Loss  0.872452, Average Loss  0.875975, Time  0.450876
2021-09-25 01:23:48.183075 : Epoch  2, Batch    588, Loss  0.880017, Average Loss  0.875975, Time  0.448171
2021-09-25 01:23:54.232878 : Epoch  2, Batch    589, Loss  0.866684, Average Loss  0.875952, Time  0.449030
2021-09-25 01:24:00.271814 : Epoch  2, Batch    590, Loss  0.888016, Average Loss  0.876027, Time  0.449116
2021-09-25 01:24:06.309981 : Epoch  2, Batch    591, Loss  0.872910, Average Loss  0.875941, Time  0.445966
2021-09-25 01:24:12.340172 : Epoch  2, Batch    592, Loss  0.875857, Average Loss  0.875932, Time  0.447126
2021-09-25 01:24:18.373518 : Epoch  2, Batch    593, Loss  0.871067, Average Loss  0.875831, Time  0.456016
2021-09-25 01:24:24.402526 : Epoch  2, Batch    594, Loss  0.876307, Average Loss  0.875752, Time  0.450290
2021-09-25 01:24:30.423280 : Epoch  2, Batch    595, Loss  0.892079, Average Loss  0.875836, Time  0.447049
2021-09-25 01:24:36.444770 : Epoch  2, Batch    596, Loss  0.865503, Average Loss  0.875754, Time  0.448399
2021-09-25 01:24:42.463889 : Epoch  2, Batch    597, Loss  0.879260, Average Loss  0.875745, Time  0.454137
2021-09-25 01:24:48.500913 : Epoch  2, Batch    598, Loss  0.874727, Average Loss  0.875769, Time  0.445854
2021-09-25 01:24:54.531371 : Epoch  2, Batch    599, Loss  0.884392, Average Loss  0.875822, Time  0.447036
2021-09-25 01:25:00.562712 : Epoch  2, Batch    600, Loss  0.882481, Average Loss  0.875878, Time  0.450540
2021-09-25 01:25:06.582226 : Epoch  2, Batch    601, Loss  0.887191, Average Loss  0.875961, Time  0.459975
2021-09-25 01:25:12.606076 : Epoch  2, Batch    602, Loss  0.877660, Average Loss  0.875907, Time  0.446260
2021-09-25 01:25:18.627648 : Epoch  2, Batch    603, Loss  0.878011, Average Loss  0.875855, Time  0.445505
2021-09-25 01:25:24.647633 : Epoch  2, Batch    604, Loss  0.889543, Average Loss  0.875893, Time  0.446146
2021-09-25 01:25:30.679410 : Epoch  2, Batch    605, Loss  0.876215, Average Loss  0.875860, Time  0.446319
2021-09-25 01:25:36.702325 : Epoch  2, Batch    606, Loss  0.877260, Average Loss  0.875830, Time  0.450169
2021-09-25 01:25:42.722600 : Epoch  2, Batch    607, Loss  0.867171, Average Loss  0.875774, Time  0.446141
2021-09-25 01:25:48.756581 : Epoch  2, Batch    608, Loss  0.874063, Average Loss  0.875811, Time  0.455422
2021-09-25 01:25:54.789094 : Epoch  2, Batch    609, Loss  0.873339, Average Loss  0.875794, Time  0.447663
2021-09-25 01:26:00.815381 : Epoch  2, Batch    610, Loss  0.863010, Average Loss  0.875631, Time  0.446525
2021-09-25 01:26:06.835912 : Epoch  2, Batch    611, Loss  0.875780, Average Loss  0.875596, Time  0.447789
2021-09-25 01:26:12.864279 : Epoch  2, Batch    612, Loss  0.896226, Average Loss  0.875736, Time  0.446501
2021-09-25 01:26:18.889902 : Epoch  2, Batch    613, Loss  0.873232, Average Loss  0.875765, Time  0.447941
2021-09-25 01:26:24.908191 : Epoch  2, Batch    614, Loss  0.885428, Average Loss  0.875764, Time  0.445622
2021-09-25 01:26:30.944250 : Epoch  2, Batch    615, Loss  0.876615, Average Loss  0.875769, Time  0.447263
2021-09-25 01:26:36.965115 : Epoch  2, Batch    616, Loss  0.862648, Average Loss  0.875702, Time  0.460750
2021-09-25 01:26:42.976969 : Epoch  2, Batch    617, Loss  0.878897, Average Loss  0.875724, Time  0.451287
2021-09-25 01:26:48.993805 : Epoch  2, Batch    618, Loss  0.873900, Average Loss  0.875744, Time  0.445940
2021-09-25 01:26:55.022424 : Epoch  2, Batch    619, Loss  0.878399, Average Loss  0.875730, Time  0.449819
2021-09-25 01:27:01.087356 : Epoch  2, Batch    620, Loss  0.877673, Average Loss  0.875773, Time  0.451206
2021-09-25 01:27:07.107581 : Epoch  2, Batch    621, Loss  0.870470, Average Loss  0.875700, Time  0.449574
2021-09-25 01:27:12.187825 : CheckPoint: Validation Loss  0.00015338, Best Loss  0.00014886
2021-09-25 01:27:13.142563 : Epoch  2, Batch    622, Loss  0.858462, Average Loss  0.875632, Time  0.449356
2021-09-25 01:27:18.298049 : Epoch  3, Batch     45, Loss  0.876497, Average Loss  0.873847, Time  0.448843
2021-09-25 01:27:19.172309 : Epoch  2, Batch    623, Loss  0.875919, Average Loss  0.875579, Time  0.455629
2021-09-25 01:27:24.398718 : Epoch  3, Batch     46, Loss  0.875944, Average Loss  0.873902, Time  0.445732
2021-09-25 01:27:25.230839 : Epoch  2, Batch    624, Loss  0.877377, Average Loss  0.875631, Time  0.453737
2021-09-25 01:27:30.498455 : Epoch  3, Batch     47, Loss  0.877129, Average Loss  0.873845, Time  0.446183
2021-09-25 01:27:31.281808 : Epoch  2, Batch    625, Loss  0.880526, Average Loss  0.875667, Time  0.449141
2021-09-25 01:27:36.605281 : Epoch  3, Batch     48, Loss  0.882423, Average Loss  0.873847, Time  0.449357
2021-09-25 01:27:37.325043 : Epoch  2, Batch    626, Loss  0.876806, Average Loss  0.875613, Time  0.449489
2021-09-25 01:27:42.728396 : Epoch  3, Batch     49, Loss  0.856068, Average Loss  0.873741, Time  0.462973
2021-09-25 01:27:43.355924 : Epoch  2, Batch    627, Loss  0.883232, Average Loss  0.875605, Time  0.445940
2021-09-25 01:27:48.819973 : Epoch  3, Batch     50, Loss  0.861997, Average Loss  0.873677, Time  0.446828
2021-09-25 01:27:49.369535 : Epoch  2, Batch    628, Loss  0.876848, Average Loss  0.875618, Time  0.445934
2021-09-25 01:27:54.927543 : Epoch  3, Batch     51, Loss  0.880931, Average Loss  0.873675, Time  0.446926
2021-09-25 01:27:55.421949 : Epoch  2, Batch    629, Loss  0.878043, Average Loss  0.875620, Time  0.448108
2021-09-25 01:28:01.038273 : Epoch  3, Batch     52, Loss  0.870966, Average Loss  0.873613, Time  0.451654
2021-09-25 01:28:01.453063 : Epoch  2, Batch    630, Loss  0.870650, Average Loss  0.875595, Time  0.446092
2021-09-25 01:28:07.134128 : Epoch  3, Batch     53, Loss  0.859378, Average Loss  0.873575, Time  0.451835
2021-09-25 01:28:07.481942 : Epoch  2, Batch    631, Loss  0.872695, Average Loss  0.875547, Time  0.457114
2021-09-25 01:28:13.236042 : Epoch  3, Batch     54, Loss  0.861482, Average Loss  0.873557, Time  0.447411
2021-09-25 01:28:13.514233 : Epoch  2, Batch    632, Loss  0.866166, Average Loss  0.875467, Time  0.449488
2021-09-25 01:28:19.325818 : Epoch  3, Batch     55, Loss  0.866759, Average Loss  0.873448, Time  0.446458
2021-09-25 01:28:19.514016 : Epoch  2, Batch    633, Loss  0.876163, Average Loss  0.875456, Time  0.446011
2021-09-25 01:28:25.410174 : Epoch  3, Batch     56, Loss  0.868806, Average Loss  0.873441, Time  0.446492
2021-09-25 01:28:25.535596 : Epoch  2, Batch    634, Loss  0.886448, Average Loss  0.875537, Time  0.445833
2021-09-25 01:28:31.511841 : Epoch  3, Batch     57, Loss  0.875105, Average Loss  0.873539, Time  0.461128
2021-09-25 01:28:31.568127 : Epoch  2, Batch    635, Loss  0.863176, Average Loss  0.875472, Time  0.447833
2021-09-25 01:28:37.577437 : Epoch  2, Batch    636, Loss  0.881704, Average Loss  0.875479, Time  0.447613
2021-09-25 01:28:37.609203 : Epoch  3, Batch     58, Loss  0.873542, Average Loss  0.873517, Time  0.447680
2021-09-25 01:28:43.613921 : Epoch  2, Batch    637, Loss  0.882258, Average Loss  0.875386, Time  0.446789
2021-09-25 01:28:43.707907 : Epoch  3, Batch     59, Loss  0.870467, Average Loss  0.873443, Time  0.448675
2021-09-25 01:28:49.648594 : Epoch  2, Batch    638, Loss  0.861571, Average Loss  0.875339, Time  0.464208
2021-09-25 01:28:49.827651 : Epoch  3, Batch     60, Loss  0.873285, Average Loss  0.873464, Time  0.447791
2021-09-25 01:28:55.649868 : Epoch  2, Batch    639, Loss  0.882581, Average Loss  0.875357, Time  0.445725
2021-09-25 01:28:55.926649 : Epoch  3, Batch     61, Loss  0.861310, Average Loss  0.873380, Time  0.445992
2021-09-25 01:29:01.663140 : Epoch  2, Batch    640, Loss  0.875185, Average Loss  0.875328, Time  0.446314
2021-09-25 01:29:02.030506 : Epoch  3, Batch     62, Loss  0.868781, Average Loss  0.873377, Time  0.449831
2021-09-25 01:29:07.687888 : Epoch  2, Batch    641, Loss  0.881879, Average Loss  0.875346, Time  0.446423
2021-09-25 01:29:08.131450 : Epoch  3, Batch     63, Loss  0.884844, Average Loss  0.873369, Time  0.445979
2021-09-25 01:29:13.704231 : Epoch  2, Batch    642, Loss  0.872475, Average Loss  0.875357, Time  0.445958
2021-09-25 01:29:14.247733 : Epoch  3, Batch     64, Loss  0.865687, Average Loss  0.873285, Time  0.453408
2021-09-25 01:29:19.731684 : Epoch  2, Batch    643, Loss  0.893123, Average Loss  0.875495, Time  0.446630
2021-09-25 01:29:20.358325 : Epoch  3, Batch     65, Loss  0.871070, Average Loss  0.873232, Time  0.448380
2021-09-25 01:29:25.763074 : Epoch  2, Batch    644, Loss  0.877816, Average Loss  0.875551, Time  0.447040
2021-09-25 01:29:26.457884 : Epoch  3, Batch     66, Loss  0.888655, Average Loss  0.873351, Time  0.446631
2021-09-25 01:29:31.792654 : Epoch  2, Batch    645, Loss  0.881055, Average Loss  0.875582, Time  0.447154
2021-09-25 01:29:32.584993 : Epoch  3, Batch     67, Loss  0.867007, Average Loss  0.873350, Time  0.465801
2021-09-25 01:29:37.815867 : Epoch  2, Batch    646, Loss  0.879445, Average Loss  0.875613, Time  0.459960
2021-09-25 01:29:38.698875 : Epoch  3, Batch     68, Loss  0.871966, Average Loss  0.873373, Time  0.445925
2021-09-25 01:29:43.842390 : Epoch  2, Batch    647, Loss  0.876522, Average Loss  0.875626, Time  0.449348
2021-09-25 01:29:44.803155 : Epoch  3, Batch     69, Loss  0.861994, Average Loss  0.873320, Time  0.448526
2021-09-25 01:29:49.871278 : Epoch  2, Batch    648, Loss  0.876386, Average Loss  0.875651, Time  0.454709
2021-09-25 01:29:50.916339 : Epoch  3, Batch     70, Loss  0.868787, Average Loss  0.873237, Time  0.447134
2021-09-25 01:29:55.895943 : Epoch  2, Batch    649, Loss  0.882513, Average Loss  0.875658, Time  0.445566
2021-09-25 01:29:57.013747 : Epoch  3, Batch     71, Loss  0.874116, Average Loss  0.873216, Time  0.452602
2021-09-25 01:30:01.911234 : Epoch  2, Batch    650, Loss  0.881314, Average Loss  0.875740, Time  0.447087
2021-09-25 01:30:03.129162 : Epoch  3, Batch     72, Loss  0.877792, Average Loss  0.873216, Time  0.460904
2021-09-25 01:30:07.974507 : Epoch  2, Batch    651, Loss  0.877678, Average Loss  0.875722, Time  0.449060
2021-09-25 01:30:09.220553 : Epoch  3, Batch     73, Loss  0.869061, Average Loss  0.873174, Time  0.446194
2021-09-25 01:30:14.000200 : Epoch  2, Batch    652, Loss  0.863729, Average Loss  0.875711, Time  0.452673
2021-09-25 01:30:15.298944 : Epoch  3, Batch     74, Loss  0.870826, Average Loss  0.873147, Time  0.448990
2021-09-25 01:30:20.020717 : Epoch  2, Batch    653, Loss  0.886226, Average Loss  0.875831, Time  0.452527
2021-09-25 01:30:21.399576 : Epoch  3, Batch     75, Loss  0.873611, Average Loss  0.873191, Time  0.453158
2021-09-25 01:30:26.053502 : Epoch  2, Batch    654, Loss  0.877731, Average Loss  0.875904, Time  0.462051
2021-09-25 01:30:27.492274 : Epoch  3, Batch     76, Loss  0.870343, Average Loss  0.873155, Time  0.446576
2021-09-25 01:30:32.088784 : Epoch  2, Batch    655, Loss  0.862014, Average Loss  0.875820, Time  0.448365
2021-09-25 01:30:33.601852 : Epoch  3, Batch     77, Loss  0.862594, Average Loss  0.873180, Time  0.449287
2021-09-25 01:30:38.111801 : Epoch  2, Batch    656, Loss  0.869859, Average Loss  0.875807, Time  0.448083
2021-09-25 01:30:39.696700 : Epoch  3, Batch     78, Loss  0.849084, Average Loss  0.873043, Time  0.446249
2021-09-25 01:30:44.142208 : Epoch  2, Batch    657, Loss  0.863453, Average Loss  0.875661, Time  0.446579
2021-09-25 01:30:45.830985 : Epoch  3, Batch     79, Loss  0.882102, Average Loss  0.873133, Time  0.457542
2021-09-25 01:30:50.169872 : Epoch  2, Batch    658, Loss  0.877903, Average Loss  0.875704, Time  0.448908
2021-09-25 01:30:51.967820 : Epoch  3, Batch     80, Loss  0.873091, Average Loss  0.873016, Time  0.448406
2021-09-25 01:30:56.192993 : Epoch  2, Batch    659, Loss  0.876623, Average Loss  0.875687, Time  0.445871
2021-09-25 01:30:58.084573 : Epoch  3, Batch     81, Loss  0.874230, Average Loss  0.872989, Time  0.451816
2021-09-25 01:31:02.216491 : Epoch  2, Batch    660, Loss  0.881279, Average Loss  0.875671, Time  0.448307
2021-09-25 01:31:04.201038 : Epoch  3, Batch     82, Loss  0.854403, Average Loss  0.872942, Time  0.447834
2021-09-25 01:31:08.257004 : Epoch  2, Batch    661, Loss  0.878354, Average Loss  0.875642, Time  0.460501
2021-09-25 01:31:10.314813 : Epoch  3, Batch     83, Loss  0.868783, Average Loss  0.872977, Time  0.447537
2021-09-25 01:31:14.328508 : Epoch  2, Batch    662, Loss  0.892399, Average Loss  0.875635, Time  0.449182
2021-09-25 01:31:16.447225 : Epoch  3, Batch     84, Loss  0.859029, Average Loss  0.872884, Time  0.449036
2021-09-25 01:31:20.340807 : Epoch  2, Batch    663, Loss  0.873196, Average Loss  0.875647, Time  0.446016
2021-09-25 01:31:22.560289 : Epoch  3, Batch     85, Loss  0.873764, Average Loss  0.872868, Time  0.446947
2021-09-25 01:31:26.376396 : Epoch  2, Batch    664, Loss  0.894709, Average Loss  0.875747, Time  0.450244
2021-09-25 01:31:28.671828 : Epoch  3, Batch     86, Loss  0.855887, Average Loss  0.872769, Time  0.446513
2021-09-25 01:31:32.408534 : Epoch  2, Batch    665, Loss  0.874614, Average Loss  0.875774, Time  0.445703
2021-09-25 01:31:34.769947 : Epoch  3, Batch     87, Loss  0.867391, Average Loss  0.872754, Time  0.458176
2021-09-25 01:31:38.430403 : Epoch  2, Batch    666, Loss  0.873889, Average Loss  0.875776, Time  0.446233
2021-09-25 01:31:40.879969 : Epoch  3, Batch     88, Loss  0.873204, Average Loss  0.872658, Time  0.446330
2021-09-25 01:31:44.469978 : Epoch  2, Batch    667, Loss  0.873380, Average Loss  0.875798, Time  0.446132
2021-09-25 01:31:46.980298 : Epoch  3, Batch     89, Loss  0.881327, Average Loss  0.872671, Time  0.445990
2021-09-25 01:31:50.490325 : Epoch  2, Batch    668, Loss  0.870251, Average Loss  0.875756, Time  0.446240
2021-09-25 01:31:53.093743 : Epoch  3, Batch     90, Loss  0.871378, Average Loss  0.872606, Time  0.448241
2021-09-25 01:31:56.532105 : Epoch  2, Batch    669, Loss  0.875265, Average Loss  0.875797, Time  0.464387
2021-09-25 01:31:59.194597 : Epoch  3, Batch     91, Loss  0.862151, Average Loss  0.872631, Time  0.446742
2021-09-25 01:32:02.516960 : Epoch  2, Batch    670, Loss  0.885889, Average Loss  0.875733, Time  0.445723
2021-09-25 01:32:05.129446 : Epoch  3, Batch     92, Loss  0.869086, Average Loss  0.872597, Time  0.445800
2021-09-25 01:32:08.269377 : Epoch  2, Batch    671, Loss  0.852788, Average Loss  0.875598, Time  0.444419
2021-09-25 01:32:10.932853 : Epoch  3, Batch     93, Loss  0.880296, Average Loss  0.872615, Time  0.444679
2021-09-25 01:32:14.003069 : Epoch  2, Batch    672, Loss  0.870771, Average Loss  0.875587, Time  0.445923
2021-09-25 01:32:16.767568 : Epoch  3, Batch     94, Loss  0.867836, Average Loss  0.872611, Time  0.461149
2021-09-25 01:32:22.541729 : Epoch  3, Batch     95, Loss  0.869670, Average Loss  0.872598, Time  0.443609
2021-09-25 01:32:28.299222 : Epoch  3, Batch     96, Loss  0.880183, Average Loss  0.872563, Time  0.445703
2021-09-25 01:32:34.067186 : Epoch  3, Batch     97, Loss  0.881169, Average Loss  0.872511, Time  0.443152
2021-09-25 01:32:39.824456 : Epoch  3, Batch     98, Loss  0.894804, Average Loss  0.872625, Time  0.443523
2021-09-25 01:32:45.562122 : Epoch  3, Batch     99, Loss  0.878611, Average Loss  0.872696, Time  0.444377
2021-09-25 01:32:51.333528 : Epoch  3, Batch    100, Loss  0.869111, Average Loss  0.872659, Time  0.443833
2021-09-25 01:32:57.108080 : Epoch  3, Batch    101, Loss  0.860084, Average Loss  0.872613, Time  0.444843
2021-09-25 01:33:02.849096 : Epoch  3, Batch    102, Loss  0.868209, Average Loss  0.872591, Time  0.444807
2021-09-25 01:33:08.611827 : Epoch  3, Batch    103, Loss  0.869796, Average Loss  0.872577, Time  0.458171
2021-09-25 01:33:14.343075 : Epoch  3, Batch    104, Loss  0.881353, Average Loss  0.872687, Time  0.444470
2021-09-25 01:33:20.102575 : Epoch  3, Batch    105, Loss  0.872190, Average Loss  0.872645, Time  0.444684
2021-09-25 01:33:25.904524 : Epoch  3, Batch    106, Loss  0.888988, Average Loss  0.872711, Time  0.443882
2021-09-25 01:33:31.719012 : Epoch  3, Batch    107, Loss  0.880388, Average Loss  0.872722, Time  0.447189
2021-09-25 01:33:37.432550 : Epoch  3, Batch    108, Loss  0.856964, Average Loss  0.872581, Time  0.447772
2021-09-25 01:33:43.219172 : Epoch  3, Batch    109, Loss  0.879552, Average Loss  0.872617, Time  0.446558
2021-09-25 01:33:49.014877 : Epoch  3, Batch    110, Loss  0.873987, Average Loss  0.872636, Time  0.444572
2021-09-25 01:33:54.811820 : Epoch  3, Batch    111, Loss  0.868649, Average Loss  0.872618, Time  0.457822
2021-09-25 01:34:00.604675 : Epoch  3, Batch    112, Loss  0.877132, Average Loss  0.872628, Time  0.444335
2021-09-25 01:34:06.410799 : Epoch  3, Batch    113, Loss  0.864723, Average Loss  0.872575, Time  0.445114
2021-09-25 01:34:12.267504 : Epoch  3, Batch    114, Loss  0.883755, Average Loss  0.872656, Time  0.449250
2021-09-25 01:34:18.113771 : Epoch  3, Batch    115, Loss  0.876855, Average Loss  0.872722, Time  0.451010
2021-09-25 01:34:23.866653 : Epoch  3, Batch    116, Loss  0.857954, Average Loss  0.872678, Time  0.444538
2021-09-25 01:34:29.668980 : Epoch  3, Batch    117, Loss  0.850670, Average Loss  0.872599, Time  0.444054
2021-09-25 01:34:35.460414 : Epoch  3, Batch    118, Loss  0.884136, Average Loss  0.872665, Time  0.445922
2021-09-25 01:34:41.342403 : Epoch  3, Batch    119, Loss  0.877555, Average Loss  0.872728, Time  0.461999
2021-09-25 01:34:47.140697 : Epoch  3, Batch    120, Loss  0.864275, Average Loss  0.872673, Time  0.443664
2021-09-25 01:34:52.973627 : Epoch  3, Batch    121, Loss  0.877097, Average Loss  0.872706, Time  0.447688
2021-09-25 01:34:58.760021 : Epoch  3, Batch    122, Loss  0.857849, Average Loss  0.872588, Time  0.445043
2021-09-25 01:35:04.541868 : Epoch  3, Batch    123, Loss  0.864788, Average Loss  0.872624, Time  0.444714
2021-09-25 01:35:10.346183 : Epoch  3, Batch    124, Loss  0.878825, Average Loss  0.872601, Time  0.447079
2021-09-25 01:35:16.159331 : Epoch  3, Batch    125, Loss  0.872289, Average Loss  0.872621, Time  0.445604
2021-09-25 01:35:21.982653 : Epoch  3, Batch    126, Loss  0.860524, Average Loss  0.872480, Time  0.443398
2021-09-25 01:35:27.753012 : Epoch  3, Batch    127, Loss  0.871081, Average Loss  0.872423, Time  0.452697
2021-09-25 01:35:33.501507 : Epoch  3, Batch    128, Loss  0.850515, Average Loss  0.872338, Time  0.444123
2021-09-25 01:35:39.284942 : Epoch  3, Batch    129, Loss  0.858048, Average Loss  0.872258, Time  0.443068
2021-09-25 01:35:45.045904 : Epoch  3, Batch    130, Loss  0.879720, Average Loss  0.872299, Time  0.446799
2021-09-25 01:35:50.823053 : Epoch  3, Batch    131, Loss  0.881783, Average Loss  0.872378, Time  0.445346
2021-09-25 01:35:56.578425 : Epoch  3, Batch    132, Loss  0.860646, Average Loss  0.872260, Time  0.443508
2021-09-25 01:36:02.354237 : Epoch  3, Batch    133, Loss  0.869387, Average Loss  0.872174, Time  0.445564
2021-09-25 01:36:08.200978 : Epoch  3, Batch    134, Loss  0.870466, Average Loss  0.872165, Time  0.442979
2021-09-25 01:36:13.993698 : Epoch  3, Batch    135, Loss  0.884647, Average Loss  0.872259, Time  0.455812
2021-09-25 01:36:19.772160 : Epoch  3, Batch    136, Loss  0.884270, Average Loss  0.872323, Time  0.444716
2021-09-25 01:36:25.565060 : Epoch  3, Batch    137, Loss  0.868494, Average Loss  0.872225, Time  0.444142
2021-09-25 01:36:31.394493 : Epoch  3, Batch    138, Loss  0.870807, Average Loss  0.872214, Time  0.444511
2021-09-25 01:36:37.167658 : Epoch  3, Batch    139, Loss  0.866666, Average Loss  0.872170, Time  0.443566
2021-09-25 01:36:42.987621 : Epoch  3, Batch    140, Loss  0.883881, Average Loss  0.872209, Time  0.445176
2021-09-25 01:36:46.138973 : CheckPoint: Validation Loss  0.00015410, Best Loss  0.00014852
2021-09-25 01:36:48.741814 : Epoch  3, Batch    141, Loss  0.881692, Average Loss  0.872323, Time  0.444681
2021-09-25 01:36:51.840086 : Epoch  2, Batch    673, Loss  0.882351, Average Loss  0.875600, Time  0.445898
2021-09-25 01:36:54.504043 : Epoch  3, Batch    142, Loss  0.881488, Average Loss  0.872257, Time  0.445444
2021-09-25 01:36:57.532454 : Epoch  2, Batch    674, Loss  0.889668, Average Loss  0.875689, Time  0.445755
2021-09-25 01:37:00.337644 : Epoch  3, Batch    143, Loss  0.875951, Average Loss  0.872267, Time  0.456577
2021-09-25 01:37:03.291595 : Epoch  2, Batch    675, Loss  0.873259, Average Loss  0.875685, Time  0.444792
2021-09-25 01:37:09.086041 : Epoch  2, Batch    676, Loss  0.886420, Average Loss  0.875843, Time  0.446671
2021-09-25 01:37:14.749036 : Epoch  3, Batch    144, Loss  0.858711, Average Loss  0.872205, Time  0.445474
2021-09-25 01:37:14.892056 : Epoch  2, Batch    677, Loss  0.867549, Average Loss  0.875825, Time  0.444911
2021-09-25 01:37:20.721496 : Epoch  2, Batch    678, Loss  0.853536, Average Loss  0.875761, Time  0.447907
2021-09-25 01:37:26.535481 : Epoch  2, Batch    679, Loss  0.863435, Average Loss  0.875729, Time  0.460227
2021-09-25 01:37:32.323088 : Epoch  2, Batch    680, Loss  0.878113, Average Loss  0.875720, Time  0.444001
2021-09-25 01:37:38.091755 : Epoch  2, Batch    681, Loss  0.866259, Average Loss  0.875721, Time  0.444191
2021-09-25 01:37:43.884048 : Epoch  2, Batch    682, Loss  0.873294, Average Loss  0.875749, Time  0.442783
2021-09-25 01:37:49.748624 : Epoch  2, Batch    683, Loss  0.880517, Average Loss  0.875775, Time  0.447705
2021-09-25 01:37:55.644293 : Epoch  2, Batch    684, Loss  0.874808, Average Loss  0.875776, Time  0.447771
2021-09-25 01:38:01.644816 : Epoch  2, Batch    685, Loss  0.883504, Average Loss  0.875829, Time  0.450951
2021-09-25 01:38:07.563471 : Epoch  2, Batch    686, Loss  0.891754, Average Loss  0.875912, Time  0.458296
2021-09-25 01:38:13.438056 : Epoch  2, Batch    687, Loss  0.868633, Average Loss  0.875869, Time  0.461114
2021-09-25 01:38:19.262176 : Epoch  2, Batch    688, Loss  0.874323, Average Loss  0.875768, Time  0.448528
2021-09-25 01:38:25.162374 : Epoch  2, Batch    689, Loss  0.878021, Average Loss  0.875807, Time  0.455427
2021-09-25 01:38:31.044666 : Epoch  2, Batch    690, Loss  0.885622, Average Loss  0.875859, Time  0.449200
2021-09-25 01:38:36.895057 : Epoch  2, Batch    691, Loss  0.876550, Average Loss  0.875860, Time  0.446121
2021-09-25 01:38:42.709028 : Epoch  2, Batch    692, Loss  0.862927, Average Loss  0.875799, Time  0.447694
2021-09-25 01:38:48.518402 : Epoch  2, Batch    693, Loss  0.880801, Average Loss  0.875873, Time  0.448018
2021-09-25 01:38:54.276853 : Epoch  2, Batch    694, Loss  0.875004, Average Loss  0.875929, Time  0.445772
2021-09-25 01:39:00.063498 : Epoch  2, Batch    695, Loss  0.868398, Average Loss  0.875905, Time  0.457116
2021-09-25 01:39:05.901619 : Epoch  2, Batch    696, Loss  0.879852, Average Loss  0.875868, Time  0.447263
2021-09-25 01:39:11.737003 : Epoch  2, Batch    697, Loss  0.863109, Average Loss  0.875814, Time  0.446258
2021-09-25 01:39:17.545413 : Epoch  2, Batch    698, Loss  0.864606, Average Loss  0.875666, Time  0.446732
2021-09-25 01:39:23.333099 : Epoch  2, Batch    699, Loss  0.861399, Average Loss  0.875525, Time  0.448009
2021-09-25 01:39:29.225806 : Epoch  2, Batch    700, Loss  0.883924, Average Loss  0.875603, Time  0.443524
2021-09-25 01:39:34.977556 : Epoch  2, Batch    701, Loss  0.888383, Average Loss  0.875643, Time  0.444654
2021-09-25 01:39:40.726021 : Epoch  2, Batch    702, Loss  0.885010, Average Loss  0.875685, Time  0.445646
2021-09-25 01:39:46.481417 : Epoch  2, Batch    703, Loss  0.868008, Average Loss  0.875573, Time  0.455427
2021-09-25 01:39:52.246273 : Epoch  2, Batch    704, Loss  0.867953, Average Loss  0.875566, Time  0.444221
2021-09-25 01:39:58.041771 : Epoch  2, Batch    705, Loss  0.868332, Average Loss  0.875573, Time  0.448695
2021-09-25 01:40:03.889278 : Epoch  2, Batch    706, Loss  0.876166, Average Loss  0.875559, Time  0.443948
2021-09-25 01:40:09.683127 : Epoch  2, Batch    707, Loss  0.880841, Average Loss  0.875687, Time  0.445347
2021-09-25 01:40:15.456397 : Epoch  2, Batch    708, Loss  0.865863, Average Loss  0.875586, Time  0.445115
2021-09-25 01:40:21.236907 : Epoch  2, Batch    709, Loss  0.870052, Average Loss  0.875473, Time  0.445924
2021-09-25 01:40:27.025416 : Epoch  2, Batch    710, Loss  0.852601, Average Loss  0.875388, Time  0.445456
2021-09-25 01:40:32.836840 : Epoch  2, Batch    711, Loss  0.866198, Average Loss  0.875328, Time  0.453582
2021-09-25 01:40:38.600207 : Epoch  2, Batch    712, Loss  0.881635, Average Loss  0.875309, Time  0.443952
2021-09-25 01:40:44.322627 : Epoch  2, Batch    713, Loss  0.889832, Average Loss  0.875341, Time  0.445620
2021-09-25 01:40:50.071612 : Epoch  2, Batch    714, Loss  0.873920, Average Loss  0.875358, Time  0.445565
2021-09-25 01:40:55.923038 : Epoch  2, Batch    715, Loss  0.863628, Average Loss  0.875320, Time  0.446782
2021-09-25 01:41:01.689863 : Epoch  2, Batch    716, Loss  0.878848, Average Loss  0.875297, Time  0.446111
2021-09-25 01:41:07.432918 : Epoch  2, Batch    717, Loss  0.885643, Average Loss  0.875383, Time  0.446478
2021-09-25 01:41:13.237190 : Epoch  2, Batch    718, Loss  0.871673, Average Loss  0.875301, Time  0.448521
2021-09-25 01:41:19.009277 : Epoch  2, Batch    719, Loss  0.887452, Average Loss  0.875350, Time  0.459953
2021-09-25 01:41:24.783430 : Epoch  2, Batch    720, Loss  0.880575, Average Loss  0.875318, Time  0.444083
2021-09-25 01:41:30.538594 : Epoch  2, Batch    721, Loss  0.875353, Average Loss  0.875382, Time  0.445787
2021-09-25 01:41:36.332099 : Epoch  2, Batch    722, Loss  0.878308, Average Loss  0.875375, Time  0.443503
2021-09-25 01:41:42.102904 : Epoch  2, Batch    723, Loss  0.868703, Average Loss  0.875348, Time  0.444930
2021-09-25 01:41:47.886833 : Epoch  2, Batch    724, Loss  0.863531, Average Loss  0.875283, Time  0.444807
2021-09-25 01:41:53.657198 : Epoch  2, Batch    725, Loss  0.870067, Average Loss  0.875301, Time  0.445992
2021-09-25 01:41:53.881349 : CheckPoint: Validation Loss  0.00015025, Best Loss  0.00014886
2021-09-25 01:41:59.391055 : Epoch  2, Batch    726, Loss  0.872976, Average Loss  0.875252, Time  0.444684
2021-09-25 01:41:59.704977 : Epoch  3, Batch    145, Loss  0.873620, Average Loss  0.872217, Time  0.445899
2021-09-25 01:42:05.180878 : Epoch  2, Batch    727, Loss  0.883697, Average Loss  0.875324, Time  0.457693
2021-09-25 01:42:05.597688 : Epoch  3, Batch    146, Loss  0.874002, Average Loss  0.872212, Time  0.445288
2021-09-25 01:42:10.940731 : Epoch  2, Batch    728, Loss  0.864989, Average Loss  0.875257, Time  0.446403
2021-09-25 01:42:11.452023 : Epoch  3, Batch    147, Loss  0.882796, Average Loss  0.872284, Time  0.445177
2021-09-25 01:42:16.719334 : Epoch  2, Batch    729, Loss  0.867350, Average Loss  0.875215, Time  0.443765
2021-09-25 01:42:17.334021 : Epoch  3, Batch    148, Loss  0.866352, Average Loss  0.872232, Time  0.458569
2021-09-25 01:42:22.486668 : Epoch  2, Batch    730, Loss  0.874127, Average Loss  0.875233, Time  0.445816
2021-09-25 01:42:23.201465 : Epoch  3, Batch    149, Loss  0.871360, Average Loss  0.872298, Time  0.445012
2021-09-25 01:42:28.315954 : Epoch  2, Batch    731, Loss  0.883293, Average Loss  0.875351, Time  0.447196
2021-09-25 01:42:29.144493 : Epoch  3, Batch    150, Loss  0.861944, Average Loss  0.872203, Time  0.445490
2021-09-25 01:42:34.192985 : Epoch  2, Batch    732, Loss  0.878874, Average Loss  0.875332, Time  0.445161
2021-09-25 01:42:35.111934 : Epoch  3, Batch    151, Loss  0.873132, Average Loss  0.872266, Time  0.444944
2021-09-25 01:42:39.988945 : Epoch  2, Batch    733, Loss  0.874410, Average Loss  0.875396, Time  0.445994
2021-09-25 01:42:40.940495 : Epoch  3, Batch    152, Loss  0.870483, Average Loss  0.872221, Time  0.443556
2021-09-25 01:42:45.774757 : Epoch  2, Batch    734, Loss  0.878556, Average Loss  0.875361, Time  0.444683
2021-09-25 01:42:46.885960 : Epoch  3, Batch    153, Loss  0.871828, Average Loss  0.872177, Time  0.449167
2021-09-25 01:42:51.673387 : Epoch  2, Batch    735, Loss  0.868949, Average Loss  0.875364, Time  0.454399
2021-09-25 01:42:52.795615 : Epoch  3, Batch    154, Loss  0.855415, Average Loss  0.872081, Time  0.444573
2021-09-25 01:42:57.429214 : Epoch  2, Batch    736, Loss  0.875444, Average Loss  0.875410, Time  0.446462
2021-09-25 01:42:58.691001 : Epoch  3, Batch    155, Loss  0.879416, Average Loss  0.872047, Time  0.449468
2021-09-25 01:43:03.262130 : Epoch  2, Batch    737, Loss  0.881016, Average Loss  0.875435, Time  0.444079
2021-09-25 01:43:04.563161 : Epoch  3, Batch    156, Loss  0.868675, Average Loss  0.871962, Time  0.453944
2021-09-25 01:43:08.922311 : Epoch  2, Batch    738, Loss  0.866878, Average Loss  0.875438, Time  0.444762
2021-09-25 01:43:10.390454 : Epoch  3, Batch    157, Loss  0.864744, Average Loss  0.871914, Time  0.446145
2021-09-25 01:43:14.807567 : Epoch  2, Batch    739, Loss  0.885661, Average Loss  0.875498, Time  0.447404
2021-09-25 01:43:16.364807 : Epoch  3, Batch    158, Loss  0.879730, Average Loss  0.871852, Time  0.446465
2021-09-25 01:43:20.599908 : Epoch  2, Batch    740, Loss  0.876599, Average Loss  0.875483, Time  0.446279
2021-09-25 01:43:22.266174 : Epoch  3, Batch    159, Loss  0.864358, Average Loss  0.871766, Time  0.445027
2021-09-25 01:43:26.391356 : Epoch  2, Batch    741, Loss  0.869612, Average Loss  0.875421, Time  0.444767
2021-09-25 01:43:28.176103 : Epoch  3, Batch    160, Loss  0.871780, Average Loss  0.871757, Time  0.446131
2021-09-25 01:43:32.178526 : Epoch  2, Batch    742, Loss  0.874169, Average Loss  0.875516, Time  0.445009
2021-09-25 01:43:34.011752 : Epoch  3, Batch    161, Loss  0.869415, Average Loss  0.871788, Time  0.444329
2021-09-25 01:43:37.992452 : Epoch  2, Batch    743, Loss  0.874083, Average Loss  0.875516, Time  0.451088
2021-09-25 01:43:39.915820 : Epoch  3, Batch    162, Loss  0.863683, Average Loss  0.871808, Time  0.447252
2021-09-25 01:43:43.777436 : Epoch  2, Batch    744, Loss  0.873800, Average Loss  0.875562, Time  0.444363
2021-09-25 01:43:45.835428 : Epoch  3, Batch    163, Loss  0.870137, Average Loss  0.871796, Time  0.447782
2021-09-25 01:43:49.610024 : Epoch  2, Batch    745, Loss  0.869874, Average Loss  0.875587, Time  0.447374
2021-09-25 01:43:51.803046 : Epoch  3, Batch    164, Loss  0.876530, Average Loss  0.871835, Time  0.460423
2021-09-25 01:43:55.458269 : Epoch  2, Batch    746, Loss  0.882947, Average Loss  0.875645, Time  0.445490
2021-09-25 01:43:57.664886 : Epoch  3, Batch    165, Loss  0.860779, Average Loss  0.871764, Time  0.444305
2021-09-25 01:44:01.189056 : Epoch  2, Batch    747, Loss  0.873016, Average Loss  0.875645, Time  0.446948
2021-09-25 01:44:03.537813 : Epoch  3, Batch    166, Loss  0.875513, Average Loss  0.871798, Time  0.445758
2021-09-25 01:44:07.041509 : Epoch  2, Batch    748, Loss  0.865469, Average Loss  0.875603, Time  0.445804
2021-09-25 01:44:09.441750 : Epoch  3, Batch    167, Loss  0.870700, Average Loss  0.871821, Time  0.445336
2021-09-25 01:44:12.757328 : Epoch  2, Batch    749, Loss  0.870179, Average Loss  0.875606, Time  0.446705
2021-09-25 01:44:15.247302 : Epoch  3, Batch    168, Loss  0.876884, Average Loss  0.871803, Time  0.444987
2021-09-25 01:44:18.523452 : Epoch  2, Batch    750, Loss  0.883552, Average Loss  0.875698, Time  0.444875
2021-09-25 01:44:21.147837 : Epoch  3, Batch    169, Loss  0.869922, Average Loss  0.871848, Time  0.444547
2021-09-25 01:44:24.265266 : Epoch  2, Batch    751, Loss  0.856114, Average Loss  0.875565, Time  0.453350
2021-09-25 01:44:26.959015 : Epoch  3, Batch    170, Loss  0.860152, Average Loss  0.871837, Time  0.443563
2021-09-25 01:44:30.003197 : Epoch  2, Batch    752, Loss  0.868510, Average Loss  0.875507, Time  0.444081
2021-09-25 01:44:32.813442 : Epoch  3, Batch    171, Loss  0.857262, Average Loss  0.871740, Time  0.445736
2021-09-25 01:44:35.753034 : Epoch  2, Batch    753, Loss  0.871279, Average Loss  0.875454, Time  0.444947
2021-09-25 01:44:38.679797 : Epoch  3, Batch    172, Loss  0.871686, Average Loss  0.871722, Time  0.462212
2021-09-25 01:44:41.559279 : Epoch  2, Batch    754, Loss  0.877088, Average Loss  0.875423, Time  0.447697
2021-09-25 01:44:44.549863 : Epoch  3, Batch    173, Loss  0.863037, Average Loss  0.871652, Time  0.444974
2021-09-25 01:44:47.370538 : Epoch  2, Batch    755, Loss  0.863000, Average Loss  0.875376, Time  0.444884
2021-09-25 01:44:50.395784 : Epoch  3, Batch    174, Loss  0.880611, Average Loss  0.871713, Time  0.447056
2021-09-25 01:44:53.126079 : Epoch  2, Batch    756, Loss  0.881070, Average Loss  0.875465, Time  0.446033
2021-09-25 01:44:56.237924 : Epoch  3, Batch    175, Loss  0.854850, Average Loss  0.871643, Time  0.445602
2021-09-25 01:44:58.978305 : Epoch  2, Batch    757, Loss  0.871907, Average Loss  0.875364, Time  0.446594
2021-09-25 01:45:02.248022 : Epoch  3, Batch    176, Loss  0.883599, Average Loss  0.871653, Time  0.444416
2021-09-25 01:45:04.870104 : Epoch  2, Batch    758, Loss  0.887846, Average Loss  0.875420, Time  0.443715
2021-09-25 01:45:08.251164 : Epoch  3, Batch    177, Loss  0.861882, Average Loss  0.871537, Time  0.446767
2021-09-25 01:45:10.753283 : Epoch  2, Batch    759, Loss  0.880582, Average Loss  0.875400, Time  0.450969
2021-09-25 01:45:14.097954 : Epoch  3, Batch    178, Loss  0.868279, Average Loss  0.871503, Time  0.445758
2021-09-25 01:45:16.525838 : Epoch  2, Batch    760, Loss  0.861075, Average Loss  0.875372, Time  0.449780
2021-09-25 01:45:20.042914 : Epoch  3, Batch    179, Loss  0.873266, Average Loss  0.871486, Time  0.446454
2021-09-25 01:45:22.464001 : Epoch  2, Batch    761, Loss  0.859513, Average Loss  0.875346, Time  0.450627
2021-09-25 01:45:26.025917 : Epoch  3, Batch    180, Loss  0.871203, Average Loss  0.871464, Time  0.459677
2021-09-25 01:45:28.297196 : Epoch  2, Batch    762, Loss  0.883312, Average Loss  0.875389, Time  0.446616
2021-09-25 01:45:31.893027 : Epoch  3, Batch    181, Loss  0.879880, Average Loss  0.871397, Time  0.444666
2021-09-25 01:45:34.057747 : Epoch  2, Batch    763, Loss  0.868239, Average Loss  0.875339, Time  0.444846
2021-09-25 01:45:37.840288 : Epoch  3, Batch    182, Loss  0.872909, Average Loss  0.871407, Time  0.447681
2021-09-25 01:45:39.930179 : Epoch  2, Batch    764, Loss  0.876249, Average Loss  0.875355, Time  0.443969
2021-09-25 01:45:43.683800 : Epoch  3, Batch    183, Loss  0.872051, Average Loss  0.871402, Time  0.444663
2021-09-25 01:45:45.674831 : Epoch  2, Batch    765, Loss  0.860775, Average Loss  0.875255, Time  0.446080
2021-09-25 01:45:49.567979 : Epoch  3, Batch    184, Loss  0.876356, Average Loss  0.871408, Time  0.445009
2021-09-25 01:45:51.537233 : Epoch  2, Batch    766, Loss  0.883373, Average Loss  0.875267, Time  0.449915
2021-09-25 01:45:55.580149 : Epoch  3, Batch    185, Loss  0.887766, Average Loss  0.871502, Time  0.446449
2021-09-25 01:45:57.463607 : Epoch  2, Batch    767, Loss  0.872992, Average Loss  0.875199, Time  0.459997
2021-09-25 01:46:01.589466 : Epoch  3, Batch    186, Loss  0.875168, Average Loss  0.871515, Time  0.444043
2021-09-25 01:46:03.433680 : Epoch  2, Batch    768, Loss  0.861798, Average Loss  0.875116, Time  0.447800
2021-09-25 01:46:07.445658 : Epoch  3, Batch    187, Loss  0.871478, Average Loss  0.871475, Time  0.445384
2021-09-25 01:46:09.220794 : Epoch  2, Batch    769, Loss  0.862796, Average Loss  0.875138, Time  0.445529
2021-09-25 01:46:13.263086 : Epoch  3, Batch    188, Loss  0.881887, Average Loss  0.871543, Time  0.462006
2021-09-25 01:46:15.001603 : Epoch  2, Batch    770, Loss  0.859194, Average Loss  0.875092, Time  0.447557
2021-09-25 01:46:19.114784 : Epoch  3, Batch    189, Loss  0.881758, Average Loss  0.871586, Time  0.444818
2021-09-25 01:46:20.776699 : Epoch  2, Batch    771, Loss  0.870358, Average Loss  0.875134, Time  0.446790
2021-09-25 01:46:25.032451 : Epoch  3, Batch    190, Loss  0.874448, Average Loss  0.871621, Time  0.446260
2021-09-25 01:46:26.661922 : Epoch  2, Batch    772, Loss  0.871788, Average Loss  0.875149, Time  0.446780
2021-09-25 01:46:30.984295 : Epoch  3, Batch    191, Loss  0.885673, Average Loss  0.871770, Time  0.445897
2021-09-25 01:46:36.993504 : Epoch  3, Batch    192, Loss  0.882995, Average Loss  0.871819, Time  0.450690
2021-09-25 01:46:42.933484 : Epoch  3, Batch    193, Loss  0.873041, Average Loss  0.871842, Time  0.447080
2021-09-25 01:46:48.870399 : Epoch  3, Batch    194, Loss  0.884483, Average Loss  0.871942, Time  0.445862
2021-09-25 01:46:54.711319 : Epoch  3, Batch    195, Loss  0.884848, Average Loss  0.872078, Time  0.446832
2021-09-25 01:47:00.603003 : Epoch  3, Batch    196, Loss  0.885683, Average Loss  0.872167, Time  0.458683
2021-09-25 01:47:06.501696 : Epoch  3, Batch    197, Loss  0.869613, Average Loss  0.872164, Time  0.443514
2021-09-25 01:47:12.348440 : Epoch  3, Batch    198, Loss  0.857354, Average Loss  0.872079, Time  0.448389
2021-09-25 01:47:18.241151 : Epoch  3, Batch    199, Loss  0.877168, Average Loss  0.872070, Time  0.447579
2021-09-25 01:47:24.171906 : Epoch  3, Batch    200, Loss  0.885259, Average Loss  0.872093, Time  0.446858
2021-09-25 01:47:30.125174 : Epoch  3, Batch    201, Loss  0.876231, Average Loss  0.872101, Time  0.444587
2021-09-25 01:47:36.035008 : Epoch  3, Batch    202, Loss  0.874111, Average Loss  0.872125, Time  0.447700
2021-09-25 01:47:41.929678 : Epoch  3, Batch    203, Loss  0.871636, Average Loss  0.872119, Time  0.443653
2021-09-25 01:47:47.891027 : Epoch  3, Batch    204, Loss  0.872784, Average Loss  0.872155, Time  0.459412
2021-09-25 01:47:53.750581 : Epoch  3, Batch    205, Loss  0.878055, Average Loss  0.872160, Time  0.447845
2021-09-25 01:47:59.600132 : Epoch  3, Batch    206, Loss  0.883522, Average Loss  0.872181, Time  0.445870
2021-09-25 01:48:05.525961 : Epoch  3, Batch    207, Loss  0.878610, Average Loss  0.872233, Time  0.445497
2021-09-25 01:48:11.340942 : Epoch  3, Batch    208, Loss  0.859949, Average Loss  0.872167, Time  0.444340
2021-09-25 01:48:17.168371 : Epoch  3, Batch    209, Loss  0.881653, Average Loss  0.872202, Time  0.446076
2021-09-25 01:48:23.041017 : Epoch  3, Batch    210, Loss  0.878700, Average Loss  0.872257, Time  0.444533
2021-09-25 01:48:28.941201 : Epoch  3, Batch    211, Loss  0.874420, Average Loss  0.872283, Time  0.444673
2021-09-25 01:48:34.839013 : Epoch  3, Batch    212, Loss  0.867969, Average Loss  0.872273, Time  0.461678
2021-09-25 01:48:40.704897 : Epoch  3, Batch    213, Loss  0.872170, Average Loss  0.872167, Time  0.445560
2021-09-25 01:48:46.624604 : Epoch  3, Batch    214, Loss  0.879448, Average Loss  0.872184, Time  0.449903
2021-09-25 01:48:52.499379 : Epoch  3, Batch    215, Loss  0.863680, Average Loss  0.872129, Time  0.445328
2021-09-25 01:48:58.383830 : Epoch  3, Batch    216, Loss  0.877413, Average Loss  0.872138, Time  0.447101
2021-09-25 01:49:04.288056 : Epoch  3, Batch    217, Loss  0.878868, Average Loss  0.872150, Time  0.445446
2021-09-25 01:49:10.152834 : Epoch  3, Batch    218, Loss  0.871963, Average Loss  0.872131, Time  0.445827
2021-09-25 01:49:15.983131 : Epoch  3, Batch    219, Loss  0.878415, Average Loss  0.872127, Time  0.446677
2021-09-25 01:49:21.900001 : Epoch  3, Batch    220, Loss  0.853901, Average Loss  0.872021, Time  0.453277
2021-09-25 01:49:27.750037 : Epoch  3, Batch    221, Loss  0.883030, Average Loss  0.872052, Time  0.444961
2021-09-25 01:49:33.611085 : Epoch  3, Batch    222, Loss  0.878269, Average Loss  0.872138, Time  0.443777
2021-09-25 01:49:39.486353 : Epoch  3, Batch    223, Loss  0.863963, Average Loss  0.872097, Time  0.444022
2021-09-25 01:49:45.312135 : Epoch  3, Batch    224, Loss  0.856984, Average Loss  0.871985, Time  0.446274
2021-09-25 01:49:51.241009 : Epoch  3, Batch    225, Loss  0.873920, Average Loss  0.871948, Time  0.446548
2021-09-25 01:49:57.071750 : Epoch  3, Batch    226, Loss  0.872994, Average Loss  0.871940, Time  0.443789
2021-09-25 01:50:02.955111 : Epoch  3, Batch    227, Loss  0.873444, Average Loss  0.871964, Time  0.446882
2021-09-25 01:50:08.832286 : Epoch  3, Batch    228, Loss  0.877844, Average Loss  0.871995, Time  0.455703
2021-09-25 01:50:14.662659 : Epoch  3, Batch    229, Loss  0.868196, Average Loss  0.871963, Time  0.444763
2021-09-25 01:50:20.513519 : Epoch  3, Batch    230, Loss  0.884088, Average Loss  0.871952, Time  0.444923
2021-09-25 01:50:26.414358 : Epoch  3, Batch    231, Loss  0.882263, Average Loss  0.872010, Time  0.443993
2021-09-25 01:50:32.321401 : Epoch  3, Batch    232, Loss  0.887411, Average Loss  0.872091, Time  0.447034
2021-09-25 01:50:38.232994 : Epoch  3, Batch    233, Loss  0.891146, Average Loss  0.872239, Time  0.444832
2021-09-25 01:50:44.153581 : Epoch  3, Batch    234, Loss  0.862485, Average Loss  0.872171, Time  0.445467
2021-09-25 01:50:50.011796 : Epoch  3, Batch    235, Loss  0.867558, Average Loss  0.872148, Time  0.445920
2021-09-25 01:50:55.910894 : Epoch  3, Batch    236, Loss  0.877371, Average Loss  0.872188, Time  0.460058
2021-09-25 01:51:01.732370 : Epoch  3, Batch    237, Loss  0.867193, Average Loss  0.872103, Time  0.445821
2021-09-25 01:51:04.260873 : CheckPoint: Validation Loss  0.00015184, Best Loss  0.00014852
2021-09-25 01:51:07.579977 : Epoch  3, Batch    238, Loss  0.872383, Average Loss  0.872160, Time  0.445676
2021-09-25 01:51:10.070834 : Epoch  2, Batch    773, Loss  0.866112, Average Loss  0.875061, Time  0.446482
2021-09-25 01:51:13.509789 : Epoch  3, Batch    239, Loss  0.873786, Average Loss  0.872108, Time  0.446122
2021-09-25 01:51:15.872113 : Epoch  2, Batch    774, Loss  0.862996, Average Loss  0.875067, Time  0.446815
2021-09-25 01:51:19.371613 : Epoch  3, Batch    240, Loss  0.865214, Average Loss  0.872181, Time  0.444641
2021-09-25 01:51:21.709115 : Epoch  2, Batch    775, Loss  0.869247, Average Loss  0.875008, Time  0.457650
2021-09-25 01:51:25.317436 : Epoch  3, Batch    241, Loss  0.872879, Average Loss  0.872200, Time  0.447275
2021-09-25 01:51:27.592055 : Epoch  2, Batch    776, Loss  0.874514, Average Loss  0.874943, Time  0.444469
2021-09-25 01:51:31.252831 : Epoch  3, Batch    242, Loss  0.883635, Average Loss  0.872249, Time  0.444249
2021-09-25 01:51:33.377069 : Epoch  2, Batch    777, Loss  0.883462, Average Loss  0.874996, Time  0.444581
2021-09-25 01:51:37.100635 : Epoch  3, Batch    243, Loss  0.878939, Average Loss  0.872291, Time  0.444577
2021-09-25 01:51:39.188673 : Epoch  2, Batch    778, Loss  0.870326, Average Loss  0.874976, Time  0.445322
2021-09-25 01:51:42.968900 : Epoch  3, Batch    244, Loss  0.863286, Average Loss  0.872216, Time  0.452298
2021-09-25 01:51:44.962945 : Epoch  2, Batch    779, Loss  0.867038, Average Loss  0.874934, Time  0.445576
2021-09-25 01:51:50.823559 : Epoch  2, Batch    780, Loss  0.874074, Average Loss  0.874911, Time  0.448420
2021-09-25 01:51:56.640442 : Epoch  2, Batch    781, Loss  0.880304, Average Loss  0.874926, Time  0.445079
2021-09-25 01:52:02.428682 : Epoch  2, Batch    782, Loss  0.883442, Average Loss  0.874919, Time  0.445319
2021-09-25 01:52:08.313755 : Epoch  2, Batch    783, Loss  0.866118, Average Loss  0.874822, Time  0.459190
2021-09-25 01:52:14.096834 : Epoch  2, Batch    784, Loss  0.875297, Average Loss  0.874802, Time  0.447664
2021-09-25 01:52:19.992957 : Epoch  2, Batch    785, Loss  0.870776, Average Loss  0.874805, Time  0.444720
2021-09-25 01:52:25.773205 : Epoch  2, Batch    786, Loss  0.876002, Average Loss  0.874796, Time  0.447543
2021-09-25 01:52:31.536406 : Epoch  2, Batch    787, Loss  0.868370, Average Loss  0.874775, Time  0.446033
2021-09-25 01:52:37.348068 : Epoch  2, Batch    788, Loss  0.870466, Average Loss  0.874727, Time  0.448986
2021-09-25 01:52:43.106614 : Epoch  2, Batch    789, Loss  0.879584, Average Loss  0.874792, Time  0.445859
2021-09-25 01:52:48.902206 : Epoch  2, Batch    790, Loss  0.860901, Average Loss  0.874656, Time  0.446583
2021-09-25 01:52:54.716840 : Epoch  2, Batch    791, Loss  0.868361, Average Loss  0.874634, Time  0.462421
2021-09-25 01:53:00.529848 : Epoch  2, Batch    792, Loss  0.868950, Average Loss  0.874599, Time  0.446211
2021-09-25 01:53:06.408554 : Epoch  2, Batch    793, Loss  0.854473, Average Loss  0.874516, Time  0.447218
2021-09-25 01:53:12.266939 : Epoch  2, Batch    794, Loss  0.875797, Average Loss  0.874514, Time  0.447205
2021-09-25 01:53:18.152919 : Epoch  2, Batch    795, Loss  0.872456, Average Loss  0.874415, Time  0.445421
2021-09-25 01:53:24.043077 : Epoch  2, Batch    796, Loss  0.886279, Average Loss  0.874519, Time  0.446656
2021-09-25 01:53:29.968528 : Epoch  2, Batch    797, Loss  0.872149, Average Loss  0.874484, Time  0.446663
2021-09-25 01:53:35.772007 : Epoch  2, Batch    798, Loss  0.887053, Average Loss  0.874545, Time  0.448139
2021-09-25 01:53:41.711878 : Epoch  2, Batch    799, Loss  0.860020, Average Loss  0.874424, Time  0.461834
2021-09-25 01:53:47.659611 : Epoch  2, Batch    800, Loss  0.846897, Average Loss  0.874246, Time  0.448634
2021-09-25 01:53:53.578126 : Epoch  2, Batch    801, Loss  0.867721, Average Loss  0.874148, Time  0.446597
2021-09-25 01:53:59.460083 : Epoch  2, Batch    802, Loss  0.870061, Average Loss  0.874110, Time  0.444648
2021-09-25 01:54:05.395496 : Epoch  2, Batch    803, Loss  0.860478, Average Loss  0.874023, Time  0.447989
2021-09-25 01:54:11.172961 : Epoch  2, Batch    804, Loss  0.875805, Average Loss  0.873954, Time  0.446429
2021-09-25 01:54:17.047082 : Epoch  2, Batch    805, Loss  0.867360, Average Loss  0.873910, Time  0.445665
2021-09-25 01:54:22.931615 : Epoch  2, Batch    806, Loss  0.872215, Average Loss  0.873884, Time  0.443447
2021-09-25 01:54:28.693819 : Epoch  2, Batch    807, Loss  0.884516, Average Loss  0.873971, Time  0.459946
2021-09-25 01:54:34.535391 : Epoch  2, Batch    808, Loss  0.878400, Average Loss  0.873993, Time  0.446721
2021-09-25 01:54:40.447998 : Epoch  2, Batch    809, Loss  0.877472, Average Loss  0.874014, Time  0.445584
2021-09-25 01:54:46.284091 : Epoch  2, Batch    810, Loss  0.884472, Average Loss  0.874121, Time  0.447045
2021-09-25 01:54:52.067059 : Epoch  2, Batch    811, Loss  0.871456, Average Loss  0.874099, Time  0.448016
2021-09-25 01:54:57.934221 : Epoch  2, Batch    812, Loss  0.874699, Average Loss  0.873992, Time  0.446642
2021-09-25 01:55:03.779592 : Epoch  2, Batch    813, Loss  0.885301, Average Loss  0.874052, Time  0.447140
2021-09-25 01:55:09.607708 : Epoch  2, Batch    814, Loss  0.877091, Average Loss  0.874010, Time  0.448136
2021-09-25 01:55:15.405899 : Epoch  2, Batch    815, Loss  0.884978, Average Loss  0.874052, Time  0.450758
2021-09-25 01:55:21.207962 : Epoch  2, Batch    816, Loss  0.872224, Average Loss  0.874100, Time  0.444611
2021-09-25 01:55:26.992604 : Epoch  2, Batch    817, Loss  0.889564, Average Loss  0.874153, Time  0.447303
2021-09-25 01:55:32.747022 : Epoch  2, Batch    818, Loss  0.873799, Average Loss  0.874153, Time  0.445500
2021-09-25 01:55:38.551339 : Epoch  2, Batch    819, Loss  0.861602, Average Loss  0.874069, Time  0.445813
2021-09-25 01:55:44.361129 : Epoch  2, Batch    820, Loss  0.870537, Average Loss  0.874033, Time  0.446264
2021-09-25 01:55:50.174801 : Epoch  2, Batch    821, Loss  0.874458, Average Loss  0.874053, Time  0.445267
2021-09-25 01:55:56.079760 : Epoch  2, Batch    822, Loss  0.882215, Average Loss  0.874172, Time  0.444134
2021-09-25 01:56:01.911276 : Epoch  2, Batch    823, Loss  0.865974, Average Loss  0.874122, Time  0.461571
2021-09-25 01:56:07.713910 : Epoch  2, Batch    824, Loss  0.888477, Average Loss  0.874178, Time  0.446205
2021-09-25 01:56:13.483738 : Epoch  2, Batch    825, Loss  0.874961, Average Loss  0.874150, Time  0.445845
2021-09-25 01:56:19.328839 : Epoch  2, Batch    826, Loss  0.865694, Average Loss  0.874094, Time  0.445891
2021-09-25 01:56:22.226745 : CheckPoint: Validation Loss  0.00015069, Best Loss  0.00014886
2021-09-25 01:56:25.181397 : Epoch  2, Batch    827, Loss  0.883485, Average Loss  0.874095, Time  0.443785
2021-09-25 01:56:28.053926 : Epoch  3, Batch    245, Loss  0.865269, Average Loss  0.872160, Time  0.447428
2021-09-25 01:56:30.975676 : Epoch  2, Batch    828, Loss  0.870247, Average Loss  0.874062, Time  0.446513
2021-09-25 01:56:34.016562 : Epoch  3, Batch    246, Loss  0.870488, Average Loss  0.872133, Time  0.447966
2021-09-25 01:56:36.811670 : Epoch  2, Batch    829, Loss  0.880588, Average Loss  0.874075, Time  0.445776
2021-09-25 01:56:39.944279 : Epoch  3, Batch    247, Loss  0.874571, Average Loss  0.872120, Time  0.445977
2021-09-25 01:56:42.645915 : Epoch  2, Batch    830, Loss  0.885258, Average Loss  0.874148, Time  0.442697
2021-09-25 01:56:45.828754 : Epoch  3, Batch    248, Loss  0.886773, Average Loss  0.872142, Time  0.448413
2021-09-25 01:56:48.481581 : Epoch  2, Batch    831, Loss  0.857554, Average Loss  0.874073, Time  0.455994
2021-09-25 01:56:51.759250 : Epoch  3, Batch    249, Loss  0.871697, Average Loss  0.872220, Time  0.444198
2021-09-25 01:56:54.290121 : Epoch  2, Batch    832, Loss  0.883100, Average Loss  0.874157, Time  0.448167
2021-09-25 01:56:57.652291 : Epoch  3, Batch    250, Loss  0.868162, Average Loss  0.872251, Time  0.445051
2021-09-25 01:57:00.069063 : Epoch  2, Batch    833, Loss  0.863294, Average Loss  0.874093, Time  0.447646
2021-09-25 01:57:03.475130 : Epoch  3, Batch    251, Loss  0.863359, Average Loss  0.872163, Time  0.444728
2021-09-25 01:57:05.825022 : Epoch  2, Batch    834, Loss  0.866518, Average Loss  0.873993, Time  0.444368
2021-09-25 01:57:09.356560 : Epoch  3, Batch    252, Loss  0.856028, Average Loss  0.872088, Time  0.456246
2021-09-25 01:57:11.671847 : Epoch  2, Batch    835, Loss  0.867603, Average Loss  0.874015, Time  0.444122
2021-09-25 01:57:15.226915 : Epoch  3, Batch    253, Loss  0.862833, Average Loss  0.872106, Time  0.445141
2021-09-25 01:57:17.468948 : Epoch  2, Batch    836, Loss  0.848582, Average Loss  0.873850, Time  0.447685
2021-09-25 01:57:21.183764 : Epoch  3, Batch    254, Loss  0.876143, Average Loss  0.872179, Time  0.445264
2021-09-25 01:57:23.361889 : Epoch  2, Batch    837, Loss  0.882619, Average Loss  0.873852, Time  0.444078
2021-09-25 01:57:27.064343 : Epoch  3, Batch    255, Loss  0.871680, Average Loss  0.872203, Time  0.446321
2021-09-25 01:57:29.127920 : Epoch  2, Batch    838, Loss  0.863660, Average Loss  0.873862, Time  0.446121
2021-09-25 01:57:33.000077 : Epoch  3, Batch    256, Loss  0.864413, Average Loss  0.872182, Time  0.449540
2021-09-25 01:57:34.924732 : Epoch  2, Batch    839, Loss  0.878309, Average Loss  0.873841, Time  0.452897
2021-09-25 01:57:38.904440 : Epoch  3, Batch    257, Loss  0.875271, Average Loss  0.872182, Time  0.448105
2021-09-25 01:57:40.807073 : Epoch  2, Batch    840, Loss  0.876642, Average Loss  0.873848, Time  0.446941
2021-09-25 01:57:44.888809 : Epoch  3, Batch    258, Loss  0.884449, Average Loss  0.872237, Time  0.448056
2021-09-25 01:57:46.636057 : Epoch  2, Batch    841, Loss  0.881548, Average Loss  0.873846, Time  0.446049
2021-09-25 01:57:50.851441 : Epoch  3, Batch    259, Loss  0.873259, Average Loss  0.872251, Time  0.443814
2021-09-25 01:57:52.514153 : Epoch  2, Batch    842, Loss  0.879422, Average Loss  0.873881, Time  0.449696
2021-09-25 01:57:56.837346 : Epoch  3, Batch    260, Loss  0.873656, Average Loss  0.872253, Time  0.454755
2021-09-25 01:57:58.384790 : Epoch  2, Batch    843, Loss  0.875765, Average Loss  0.873794, Time  0.443612
2021-09-25 01:58:02.714232 : Epoch  3, Batch    261, Loss  0.879948, Average Loss  0.872346, Time  0.446141
2021-09-25 01:58:04.157549 : Epoch  2, Batch    844, Loss  0.867911, Average Loss  0.873745, Time  0.444148
2021-09-25 01:58:08.635216 : Epoch  3, Batch    262, Loss  0.875872, Average Loss  0.872381, Time  0.447765
2021-09-25 01:58:10.037168 : Epoch  2, Batch    845, Loss  0.871903, Average Loss  0.873699, Time  0.448398
2021-09-25 01:58:14.589045 : Epoch  3, Batch    263, Loss  0.883317, Average Loss  0.872374, Time  0.444096
2021-09-25 01:58:15.859882 : Epoch  2, Batch    846, Loss  0.876846, Average Loss  0.873686, Time  0.447460
2021-09-25 01:58:20.681623 : Epoch  3, Batch    264, Loss  0.872739, Average Loss  0.872409, Time  0.446015
2021-09-25 01:58:21.857009 : Epoch  2, Batch    847, Loss  0.858909, Average Loss  0.873598, Time  0.456384
2021-09-25 01:58:26.781167 : Epoch  3, Batch    265, Loss  0.865783, Average Loss  0.872383, Time  0.445229
2021-09-25 01:58:27.845613 : Epoch  2, Batch    848, Loss  0.881946, Average Loss  0.873626, Time  0.445139
2021-09-25 01:58:32.863528 : Epoch  3, Batch    266, Loss  0.868567, Average Loss  0.872282, Time  0.445098
2021-09-25 01:58:33.844884 : Epoch  2, Batch    849, Loss  0.861137, Average Loss  0.873519, Time  0.447155
2021-09-25 01:58:38.961071 : Epoch  3, Batch    267, Loss  0.863498, Average Loss  0.872265, Time  0.457073
2021-09-25 01:58:39.834959 : Epoch  2, Batch    850, Loss  0.874186, Average Loss  0.873483, Time  0.456748
2021-09-25 01:58:45.074810 : Epoch  3, Batch    268, Loss  0.881532, Average Loss  0.872312, Time  0.445451
2021-09-25 01:58:45.843297 : Epoch  2, Batch    851, Loss  0.880787, Average Loss  0.873499, Time  0.446558
2021-09-25 01:58:51.150809 : Epoch  3, Batch    269, Loss  0.882312, Average Loss  0.872414, Time  0.445745
2021-09-25 01:58:51.833905 : Epoch  2, Batch    852, Loss  0.885102, Average Loss  0.873606, Time  0.446331
2021-09-25 01:58:57.229696 : Epoch  3, Batch    270, Loss  0.871800, Average Loss  0.872429, Time  0.445075
2021-09-25 01:58:57.826487 : Epoch  2, Batch    853, Loss  0.871563, Average Loss  0.873532, Time  0.444890
2021-09-25 01:59:03.317425 : Epoch  3, Batch    271, Loss  0.864393, Average Loss  0.872380, Time  0.445035
2021-09-25 01:59:03.814653 : Epoch  2, Batch    854, Loss  0.881566, Average Loss  0.873551, Time  0.445093
2021-09-25 01:59:09.481443 : Epoch  3, Batch    272, Loss  0.878393, Average Loss  0.872383, Time  0.445600
2021-09-25 01:59:09.861192 : Epoch  2, Batch    855, Loss  0.873076, Average Loss  0.873607, Time  0.449738
2021-09-25 01:59:15.291861 : Epoch  3, Batch    273, Loss  0.874284, Average Loss  0.872410, Time  0.444041
2021-09-25 01:59:15.543942 : Epoch  2, Batch    856, Loss  0.871585, Average Loss  0.873615, Time  0.443985
2021-09-25 01:59:21.077073 : Epoch  3, Batch    274, Loss  0.859148, Average Loss  0.872351, Time  0.444903
2021-09-25 01:59:21.236181 : Epoch  2, Batch    857, Loss  0.883629, Average Loss  0.873716, Time  0.445071
2021-09-25 01:59:26.854640 : Epoch  3, Batch    275, Loss  0.873595, Average Loss  0.872351, Time  0.457088
2021-09-25 01:59:26.915716 : Epoch  2, Batch    858, Loss  0.865779, Average Loss  0.873656, Time  0.444659
2021-09-25 01:59:32.572083 : Epoch  2, Batch    859, Loss  0.879715, Average Loss  0.873671, Time  0.443633
2021-09-25 01:59:32.626049 : Epoch  3, Batch    276, Loss  0.876228, Average Loss  0.872380, Time  0.444389
2021-09-25 01:59:38.307096 : Epoch  2, Batch    860, Loss  0.871162, Average Loss  0.873620, Time  0.444278
2021-09-25 01:59:38.458403 : Epoch  3, Batch    277, Loss  0.859817, Average Loss  0.872367, Time  0.446661
2021-09-25 01:59:43.995190 : Epoch  2, Batch    861, Loss  0.887779, Average Loss  0.873668, Time  0.445352
2021-09-25 01:59:44.249623 : Epoch  3, Batch    278, Loss  0.867978, Average Loss  0.872461, Time  0.444616
2021-09-25 01:59:49.751675 : Epoch  2, Batch    862, Loss  0.880120, Average Loss  0.873606, Time  0.444588
2021-09-25 01:59:50.116236 : Epoch  3, Batch    279, Loss  0.862412, Average Loss  0.872363, Time  0.444510
2021-09-25 01:59:55.445729 : Epoch  2, Batch    863, Loss  0.879219, Average Loss  0.873636, Time  0.454405
2021-09-25 01:59:55.879828 : Epoch  3, Batch    280, Loss  0.875022, Average Loss  0.872372, Time  0.444628
2021-09-25 02:00:01.153772 : Epoch  2, Batch    864, Loss  0.859005, Average Loss  0.873458, Time  0.443381
2021-09-25 02:00:01.689384 : Epoch  3, Batch    281, Loss  0.881336, Average Loss  0.872408, Time  0.444598
2021-09-25 02:00:06.916833 : Epoch  2, Batch    865, Loss  0.865841, Average Loss  0.873414, Time  0.443643
2021-09-25 02:00:07.523840 : Epoch  3, Batch    282, Loss  0.880014, Average Loss  0.872536, Time  0.444179
2021-09-25 02:00:12.778715 : Epoch  2, Batch    866, Loss  0.864108, Average Loss  0.873365, Time  0.443811
2021-09-25 02:00:13.475807 : Epoch  3, Batch    283, Loss  0.878203, Average Loss  0.872583, Time  0.456600
2021-09-25 02:00:18.474671 : Epoch  2, Batch    867, Loss  0.885664, Average Loss  0.873426, Time  0.449191
2021-09-25 02:00:19.265301 : Epoch  3, Batch    284, Loss  0.893381, Average Loss  0.872755, Time  0.444853
2021-09-25 02:00:24.178659 : Epoch  2, Batch    868, Loss  0.892036, Average Loss  0.873535, Time  0.444426
2021-09-25 02:00:25.077987 : Epoch  3, Batch    285, Loss  0.867596, Average Loss  0.872724, Time  0.445572
2021-09-25 02:00:29.343557 : Epoch  3, Batch    286, Loss  0.900102, Average Loss  0.872945, Time  0.343162
2021-09-25 02:00:29.887799 : Epoch  2, Batch    869, Loss  0.884778, Average Loss  0.873583, Time  0.443306
2021-09-25 02:00:35.182889 : Epoch  3, Batch    287, Loss  0.869038, Average Loss  0.872953, Time  0.444251
2021-09-25 02:00:35.642718 : Epoch  2, Batch    870, Loss  0.875630, Average Loss  0.873532, Time  0.443782
2021-09-25 02:00:40.992781 : Epoch  3, Batch    288, Loss  0.859261, Average Loss  0.872883, Time  0.446607
2021-09-25 02:00:41.378801 : Epoch  2, Batch    871, Loss  0.869628, Average Loss  0.873616, Time  0.457131
2021-09-25 02:00:46.750925 : Epoch  3, Batch    289, Loss  0.882441, Average Loss  0.872889, Time  0.444643
2021-09-25 02:00:47.038881 : Epoch  2, Batch    872, Loss  0.867621, Average Loss  0.873600, Time  0.445171
2021-09-25 02:00:52.533064 : Epoch  3, Batch    290, Loss  0.869796, Average Loss  0.872881, Time  0.445719
2021-09-25 02:00:58.348619 : Epoch  3, Batch    291, Loss  0.873324, Average Loss  0.872937, Time  0.451167
2021-09-25 02:01:04.135377 : Epoch  3, Batch    292, Loss  0.878507, Average Loss  0.872984, Time  0.444198
2021-09-25 02:01:10.020140 : Epoch  3, Batch    293, Loss  0.869697, Average Loss  0.872931, Time  0.448845
2021-09-25 02:01:16.132733 : Epoch  3, Batch    294, Loss  0.871449, Average Loss  0.872949, Time  0.451477
2021-09-25 02:01:22.258044 : Epoch  3, Batch    295, Loss  0.871056, Average Loss  0.872956, Time  0.446017
2021-09-25 02:01:28.364446 : Epoch  3, Batch    296, Loss  0.879769, Average Loss  0.872954, Time  0.447065
2021-09-25 02:01:34.464055 : Epoch  3, Batch    297, Loss  0.864244, Average Loss  0.872869, Time  0.447365
2021-09-25 02:01:40.602162 : Epoch  3, Batch    298, Loss  0.883336, Average Loss  0.872812, Time  0.458809
2021-09-25 02:01:46.729922 : Epoch  3, Batch    299, Loss  0.879993, Average Loss  0.872819, Time  0.448526
2021-09-25 02:01:52.840851 : Epoch  3, Batch    300, Loss  0.852896, Average Loss  0.872738, Time  0.449209
2021-09-25 02:01:58.943702 : Epoch  3, Batch    301, Loss  0.879387, Average Loss  0.872834, Time  0.448498
2021-09-25 02:02:05.052716 : Epoch  3, Batch    302, Loss  0.857579, Average Loss  0.872781, Time  0.445815
2021-09-25 02:02:11.184841 : Epoch  3, Batch    303, Loss  0.882695, Average Loss  0.872846, Time  0.446516
2021-09-25 02:02:17.299578 : Epoch  3, Batch    304, Loss  0.846353, Average Loss  0.872671, Time  0.447011
2021-09-25 02:02:23.422545 : Epoch  3, Batch    305, Loss  0.867397, Average Loss  0.872647, Time  0.448301
2021-09-25 02:02:29.540900 : Epoch  3, Batch    306, Loss  0.857604, Average Loss  0.872490, Time  0.460053
2021-09-25 02:02:35.660393 : Epoch  3, Batch    307, Loss  0.871247, Average Loss  0.872444, Time  0.446749
2021-09-25 02:02:41.791361 : Epoch  3, Batch    308, Loss  0.882084, Average Loss  0.872570, Time  0.449970
2021-09-25 02:02:47.918698 : Epoch  3, Batch    309, Loss  0.870600, Average Loss  0.872525, Time  0.445831
2021-09-25 02:02:54.073110 : Epoch  3, Batch    310, Loss  0.871990, Average Loss  0.872515, Time  0.449710
2021-09-25 02:03:00.203914 : Epoch  3, Batch    311, Loss  0.875678, Average Loss  0.872550, Time  0.446613
2021-09-25 02:03:06.325077 : Epoch  3, Batch    312, Loss  0.869238, Average Loss  0.872511, Time  0.445451
2021-09-25 02:03:12.479364 : Epoch  3, Batch    313, Loss  0.878329, Average Loss  0.872579, Time  0.460773
2021-09-25 02:03:18.614171 : Epoch  3, Batch    314, Loss  0.884990, Average Loss  0.872585, Time  0.450681
2021-09-25 02:03:24.727143 : Epoch  3, Batch    315, Loss  0.848022, Average Loss  0.872441, Time  0.445360
2021-09-25 02:03:30.852304 : Epoch  3, Batch    316, Loss  0.868526, Average Loss  0.872494, Time  0.446412
2021-09-25 02:03:36.979423 : Epoch  3, Batch    317, Loss  0.876024, Average Loss  0.872620, Time  0.447596
2021-09-25 02:03:43.098992 : Epoch  3, Batch    318, Loss  0.866497, Average Loss  0.872532, Time  0.445524
2021-09-25 02:03:49.232565 : Epoch  3, Batch    319, Loss  0.873404, Average Loss  0.872511, Time  0.447848
2021-09-25 02:03:55.358042 : Epoch  3, Batch    320, Loss  0.872203, Average Loss  0.872551, Time  0.448226
2021-09-25 02:04:01.515864 : Epoch  3, Batch    321, Loss  0.880568, Average Loss  0.872568, Time  0.458599
2021-09-25 02:04:07.653506 : Epoch  3, Batch    322, Loss  0.883012, Average Loss  0.872694, Time  0.446246
2021-09-25 02:04:13.792708 : Epoch  3, Batch    323, Loss  0.863121, Average Loss  0.872686, Time  0.448148
2021-09-25 02:04:19.949920 : Epoch  3, Batch    324, Loss  0.852962, Average Loss  0.872557, Time  0.446447
2021-09-25 02:04:26.078639 : Epoch  3, Batch    325, Loss  0.878909, Average Loss  0.872590, Time  0.448907
2021-09-25 02:04:32.235513 : Epoch  3, Batch    326, Loss  0.876380, Average Loss  0.872669, Time  0.453975
2021-09-25 02:04:38.365650 : Epoch  3, Batch    327, Loss  0.874620, Average Loss  0.872687, Time  0.447918
2021-09-25 02:04:44.547136 : Epoch  3, Batch    328, Loss  0.859963, Average Loss  0.872734, Time  0.462437
2021-09-25 02:04:50.685434 : Epoch  3, Batch    329, Loss  0.872659, Average Loss  0.872807, Time  0.448080
2021-09-25 02:04:56.822989 : Epoch  3, Batch    330, Loss  0.858099, Average Loss  0.872699, Time  0.447479
2021-09-25 02:05:02.953525 : Epoch  3, Batch    331, Loss  0.870561, Average Loss  0.872643, Time  0.445746
2021-09-25 02:05:09.083777 : Epoch  3, Batch    332, Loss  0.874747, Average Loss  0.872713, Time  0.446917
2021-09-25 02:05:15.223374 : Epoch  3, Batch    333, Loss  0.862425, Average Loss  0.872678, Time  0.448345
2021-09-25 02:05:21.350875 : Epoch  3, Batch    334, Loss  0.857627, Average Loss  0.872614, Time  0.447359
2021-09-25 02:05:27.477957 : Epoch  3, Batch    335, Loss  0.868032, Average Loss  0.872531, Time  0.446894
2021-09-25 02:05:33.384904 : CheckPoint: Validation Loss  0.00015184, Best Loss  0.00014852
2021-09-25 02:05:33.647147 : Epoch  3, Batch    336, Loss  0.874782, Average Loss  0.872484, Time  0.460903
2021-09-25 02:05:39.414305 : Epoch  2, Batch    873, Loss  0.870647, Average Loss  0.873542, Time  0.451762
2021-09-25 02:05:39.775844 : Epoch  3, Batch    337, Loss  0.873901, Average Loss  0.872511, Time  0.447760
2021-09-25 02:05:45.437203 : Epoch  2, Batch    874, Loss  0.875358, Average Loss  0.873470, Time  0.447241
2021-09-25 02:05:45.918692 : Epoch  3, Batch    338, Loss  0.851409, Average Loss  0.872414, Time  0.450016
2021-09-25 02:05:51.460657 : Epoch  2, Batch    875, Loss  0.879663, Average Loss  0.873502, Time  0.448434
2021-09-25 02:05:52.048540 : Epoch  3, Batch    339, Loss  0.861128, Average Loss  0.872386, Time  0.447522
2021-09-25 02:05:57.494593 : Epoch  2, Batch    876, Loss  0.853922, Average Loss  0.873340, Time  0.446459
2021-09-25 02:05:58.187376 : Epoch  3, Batch    340, Loss  0.878292, Average Loss  0.872358, Time  0.458451
2021-09-25 02:06:03.545320 : Epoch  2, Batch    877, Loss  0.868736, Average Loss  0.873346, Time  0.464314
2021-09-25 02:06:04.309411 : Epoch  3, Batch    341, Loss  0.861084, Average Loss  0.872255, Time  0.449607
2021-09-25 02:06:09.574548 : Epoch  2, Batch    878, Loss  0.885398, Average Loss  0.873505, Time  0.446740
2021-09-25 02:06:10.433597 : Epoch  3, Batch    342, Loss  0.872543, Average Loss  0.872210, Time  0.450346
2021-09-25 02:06:15.637318 : Epoch  2, Batch    879, Loss  0.877885, Average Loss  0.873577, Time  0.451865
2021-09-25 02:06:16.564789 : Epoch  3, Batch    343, Loss  0.886443, Average Loss  0.872263, Time  0.461584
2021-09-25 02:06:21.690911 : Epoch  2, Batch    880, Loss  0.863900, Average Loss  0.873506, Time  0.449344
2021-09-25 02:06:22.682604 : Epoch  3, Batch    344, Loss  0.875319, Average Loss  0.872346, Time  0.446034
2021-09-25 02:06:27.749986 : Epoch  2, Batch    881, Loss  0.862913, Average Loss  0.873489, Time  0.449205
2021-09-25 02:06:33.783894 : Epoch  2, Batch    882, Loss  0.880232, Average Loss  0.873524, Time  0.449215
2021-09-25 02:06:39.812819 : Epoch  2, Batch    883, Loss  0.862606, Average Loss  0.873434, Time  0.447276
2021-09-25 02:06:45.849720 : Epoch  2, Batch    884, Loss  0.867408, Average Loss  0.873397, Time  0.461112
2021-09-25 02:06:51.888133 : Epoch  2, Batch    885, Loss  0.873895, Average Loss  0.873349, Time  0.455982
2021-09-25 02:06:57.911287 : Epoch  2, Batch    886, Loss  0.884208, Average Loss  0.873312, Time  0.446412
2021-09-25 02:07:03.926595 : Epoch  2, Batch    887, Loss  0.859657, Average Loss  0.873267, Time  0.446098
2021-09-25 02:07:09.942821 : Epoch  2, Batch    888, Loss  0.882641, Average Loss  0.873308, Time  0.445950
2021-09-25 02:07:15.968675 : Epoch  2, Batch    889, Loss  0.894468, Average Loss  0.873391, Time  0.445617
2021-09-25 02:07:21.971422 : Epoch  2, Batch    890, Loss  0.884279, Average Loss  0.873384, Time  0.445395
2021-09-25 02:07:28.000022 : Epoch  2, Batch    891, Loss  0.884189, Average Loss  0.873422, Time  0.447346
2021-09-25 02:07:34.034873 : Epoch  2, Batch    892, Loss  0.872483, Average Loss  0.873470, Time  0.457761
2021-09-25 02:07:40.055114 : Epoch  2, Batch    893, Loss  0.871473, Average Loss  0.873423, Time  0.446579
2021-09-25 02:07:46.079909 : Epoch  2, Batch    894, Loss  0.879918, Average Loss  0.873448, Time  0.447875
2021-09-25 02:07:52.111655 : Epoch  2, Batch    895, Loss  0.882668, Average Loss  0.873519, Time  0.448670
2021-09-25 02:07:58.135536 : Epoch  2, Batch    896, Loss  0.876214, Average Loss  0.873501, Time  0.445749
2021-09-25 02:08:04.142240 : Epoch  2, Batch    897, Loss  0.872282, Average Loss  0.873547, Time  0.447301
2021-09-25 02:08:10.161920 : Epoch  2, Batch    898, Loss  0.854395, Average Loss  0.873496, Time  0.448270
2021-09-25 02:08:16.194165 : Epoch  2, Batch    899, Loss  0.882785, Average Loss  0.873603, Time  0.446862
2021-09-25 02:08:22.221888 : Epoch  2, Batch    900, Loss  0.865892, Average Loss  0.873512, Time  0.454297
2021-09-25 02:08:28.244216 : Epoch  2, Batch    901, Loss  0.866929, Average Loss  0.873405, Time  0.448070
2021-09-25 02:08:34.265446 : Epoch  2, Batch    902, Loss  0.871878, Average Loss  0.873340, Time  0.447036
2021-09-25 02:08:40.287871 : Epoch  2, Batch    903, Loss  0.883818, Average Loss  0.873419, Time  0.448575
2021-09-25 02:08:46.288572 : Epoch  2, Batch    904, Loss  0.874250, Average Loss  0.873450, Time  0.444994
2021-09-25 02:08:52.295202 : Epoch  2, Batch    905, Loss  0.895087, Average Loss  0.873584, Time  0.448081
2021-09-25 02:08:58.321860 : Epoch  2, Batch    906, Loss  0.874724, Average Loss  0.873577, Time  0.446424
2021-09-25 02:09:04.343552 : Epoch  2, Batch    907, Loss  0.877069, Average Loss  0.873558, Time  0.455207
2021-09-25 02:09:10.362562 : Epoch  2, Batch    908, Loss  0.852294, Average Loss  0.873490, Time  0.444947
2021-09-25 02:09:16.385716 : Epoch  2, Batch    909, Loss  0.865428, Average Loss  0.873467, Time  0.447073
2021-09-25 02:09:22.410881 : Epoch  2, Batch    910, Loss  0.862733, Average Loss  0.873517, Time  0.446318
2021-09-25 02:09:28.443696 : Epoch  2, Batch    911, Loss  0.867497, Average Loss  0.873524, Time  0.450404
2021-09-25 02:09:34.492293 : Epoch  2, Batch    912, Loss  0.894009, Average Loss  0.873586, Time  0.450393
2021-09-25 02:09:40.554030 : Epoch  2, Batch    913, Loss  0.866315, Average Loss  0.873468, Time  0.449960
2021-09-25 02:09:46.605068 : Epoch  2, Batch    914, Loss  0.876646, Average Loss  0.873482, Time  0.450492
2021-09-25 02:09:52.631472 : Epoch  2, Batch    915, Loss  0.872268, Average Loss  0.873525, Time  0.454356
2021-09-25 02:09:58.657509 : Epoch  2, Batch    916, Loss  0.867671, Average Loss  0.873469, Time  0.448707
2021-09-25 02:10:04.695406 : Epoch  2, Batch    917, Loss  0.869382, Average Loss  0.873388, Time  0.450867
2021-09-25 02:10:10.720547 : Epoch  2, Batch    918, Loss  0.870351, Average Loss  0.873381, Time  0.448873
2021-09-25 02:10:16.761759 : Epoch  2, Batch    919, Loss  0.887276, Average Loss  0.873380, Time  0.446050
2021-09-25 02:10:22.792355 : Epoch  2, Batch    920, Loss  0.889666, Average Loss  0.873426, Time  0.445530
2021-09-25 02:10:28.823554 : Epoch  2, Batch    921, Loss  0.871669, Average Loss  0.873407, Time  0.446795
2021-09-25 02:10:34.866740 : Epoch  2, Batch    922, Loss  0.873779, Average Loss  0.873385, Time  0.457489
2021-09-25 02:10:40.906396 : Epoch  2, Batch    923, Loss  0.872132, Average Loss  0.873402, Time  0.447619
2021-09-25 02:10:46.941620 : Epoch  2, Batch    924, Loss  0.878537, Average Loss  0.873477, Time  0.446795
2021-09-25 02:10:52.976823 : Epoch  2, Batch    925, Loss  0.893498, Average Loss  0.873594, Time  0.456331
2021-09-25 02:10:59.009802 : Epoch  2, Batch    926, Loss  0.868013, Average Loss  0.873569, Time  0.445462
2021-09-25 02:11:05.048731 : Epoch  2, Batch    927, Loss  0.866850, Average Loss  0.873485, Time  0.448154
2021-09-25 02:11:11.094990 : Epoch  2, Batch    928, Loss  0.862547, Average Loss  0.873473, Time  0.449797
2021-09-25 02:11:11.131483 : Saving Model after 2-th Epoch.
2021-09-25 02:11:11.907524 : Epoch Finished.
2021-09-25 02:11:12.996871 : CheckPoint: Validation Loss  0.00015225, Best Loss  0.00014886
2021-09-25 02:11:19.164700 : Epoch  3, Batch    345, Loss  0.867484, Average Loss  0.872315, Time  0.451433
2021-09-25 02:11:20.555424 : Batch Shuffled
2021-09-25 02:11:25.312071 : Epoch  3, Batch    346, Loss  0.863656, Average Loss  0.872263, Time  0.445807
2021-09-25 02:11:26.612662 : Epoch  3, Batch      1, Loss  0.874850, Average Loss  0.873510, Time  0.465210
2021-09-25 02:11:31.441556 : Epoch  3, Batch    347, Loss  0.858383, Average Loss  0.872141, Time  0.450665
2021-09-25 02:11:32.648034 : Epoch  3, Batch      2, Loss  0.886108, Average Loss  0.873570, Time  0.448132
2021-09-25 02:11:37.594571 : Epoch  3, Batch    348, Loss  0.874448, Average Loss  0.872182, Time  0.448807
2021-09-25 02:11:38.722936 : Epoch  3, Batch      3, Loss  0.864080, Average Loss  0.873474, Time  0.447507
2021-09-25 02:11:43.731802 : Epoch  3, Batch    349, Loss  0.868501, Average Loss  0.872168, Time  0.456689
2021-09-25 02:11:44.757380 : Epoch  3, Batch      4, Loss  0.891831, Average Loss  0.873539, Time  0.448137
2021-09-25 02:11:49.880552 : Epoch  3, Batch    350, Loss  0.870073, Average Loss  0.872208, Time  0.445903
2021-09-25 02:11:50.804596 : Epoch  3, Batch      5, Loss  0.863190, Average Loss  0.873483, Time  0.448291
2021-09-25 02:11:56.004088 : Epoch  3, Batch    351, Loss  0.868732, Average Loss  0.872186, Time  0.447004
2021-09-25 02:11:56.813726 : Epoch  3, Batch      6, Loss  0.877685, Average Loss  0.873479, Time  0.446650
2021-09-25 02:12:02.132402 : Epoch  3, Batch    352, Loss  0.868308, Average Loss  0.872175, Time  0.445805
2021-09-25 02:12:02.830596 : Epoch  3, Batch      7, Loss  0.859469, Average Loss  0.873431, Time  0.447465
2021-09-25 02:12:08.270441 : Epoch  3, Batch    353, Loss  0.861236, Average Loss  0.872122, Time  0.449731
2021-09-25 02:12:08.889188 : Epoch  3, Batch      8, Loss  0.876776, Average Loss  0.873438, Time  0.468781
2021-09-25 02:12:14.406673 : Epoch  3, Batch    354, Loss  0.876634, Average Loss  0.872229, Time  0.448952
2021-09-25 02:12:14.911494 : Epoch  3, Batch      9, Loss  0.887681, Average Loss  0.873471, Time  0.446342
2021-09-25 02:12:20.541322 : Epoch  3, Batch    355, Loss  0.870650, Average Loss  0.872185, Time  0.447032
2021-09-25 02:12:20.934381 : Epoch  3, Batch     10, Loss  0.882202, Average Loss  0.873548, Time  0.451144
2021-09-25 02:12:26.675806 : Epoch  3, Batch    356, Loss  0.856426, Average Loss  0.872123, Time  0.456861
2021-09-25 02:12:26.952990 : Epoch  3, Batch     11, Loss  0.900561, Average Loss  0.873622, Time  0.446107
2021-09-25 02:12:32.804807 : Epoch  3, Batch    357, Loss  0.866578, Average Loss  0.872133, Time  0.446573
2021-09-25 02:12:32.993041 : Epoch  3, Batch     12, Loss  0.868483, Average Loss  0.873582, Time  0.446652
2021-09-25 02:12:38.939333 : Epoch  3, Batch    358, Loss  0.867569, Average Loss  0.872072, Time  0.449184
2021-09-25 02:12:39.011989 : Epoch  3, Batch     13, Loss  0.845459, Average Loss  0.873461, Time  0.447552
2021-09-25 02:12:45.047847 : Epoch  3, Batch     14, Loss  0.866717, Average Loss  0.873424, Time  0.447584
2021-09-25 02:12:45.086990 : Epoch  3, Batch    359, Loss  0.883144, Average Loss  0.872166, Time  0.447824
2021-09-25 02:12:51.087783 : Epoch  3, Batch     15, Loss  0.879705, Average Loss  0.873452, Time  0.454380
2021-09-25 02:12:51.207702 : Epoch  3, Batch    360, Loss  0.884978, Average Loss  0.872232, Time  0.447867
2021-09-25 02:12:57.118391 : Epoch  3, Batch     16, Loss  0.890100, Average Loss  0.873533, Time  0.446833
2021-09-25 02:12:57.358822 : Epoch  3, Batch    361, Loss  0.866324, Average Loss  0.872216, Time  0.446389
2021-09-25 02:13:03.134637 : Epoch  3, Batch     17, Loss  0.873801, Average Loss  0.873553, Time  0.445855
2021-09-25 02:13:03.484438 : Epoch  3, Batch    362, Loss  0.874568, Average Loss  0.872271, Time  0.445165
2021-09-25 02:13:09.151856 : Epoch  3, Batch     18, Loss  0.868815, Average Loss  0.873482, Time  0.445582
2021-09-25 02:13:09.607892 : Epoch  3, Batch    363, Loss  0.853629, Average Loss  0.872188, Time  0.446283
2021-09-25 02:13:15.174342 : Epoch  3, Batch     19, Loss  0.872019, Average Loss  0.873477, Time  0.449288
2021-09-25 02:13:15.749263 : Epoch  3, Batch    364, Loss  0.869338, Average Loss  0.872152, Time  0.462608
2021-09-25 02:13:21.197893 : Epoch  3, Batch     20, Loss  0.883334, Average Loss  0.873567, Time  0.445871
2021-09-25 02:13:21.887133 : Epoch  3, Batch    365, Loss  0.883392, Average Loss  0.872265, Time  0.447375
2021-09-25 02:13:27.211236 : Epoch  3, Batch     21, Loss  0.857126, Average Loss  0.873501, Time  0.445610
2021-09-25 02:13:28.010717 : Epoch  3, Batch    366, Loss  0.878447, Average Loss  0.872280, Time  0.445797
2021-09-25 02:13:33.231310 : Epoch  3, Batch     22, Loss  0.875124, Average Loss  0.873459, Time  0.446201
2021-09-25 02:13:34.166067 : Epoch  3, Batch    367, Loss  0.873938, Average Loss  0.872296, Time  0.465559
2021-09-25 02:13:39.287107 : Epoch  3, Batch     23, Loss  0.873964, Average Loss  0.873548, Time  0.465249
2021-09-25 02:13:40.295380 : Epoch  3, Batch    368, Loss  0.888990, Average Loss  0.872357, Time  0.445346
2021-09-25 02:13:45.311278 : Epoch  3, Batch     24, Loss  0.873711, Average Loss  0.873574, Time  0.445982
2021-09-25 02:13:46.424886 : Epoch  3, Batch    369, Loss  0.875621, Average Loss  0.872385, Time  0.451572
2021-09-25 02:13:51.335382 : Epoch  3, Batch     25, Loss  0.879769, Average Loss  0.873617, Time  0.446796
2021-09-25 02:13:52.549517 : Epoch  3, Batch    370, Loss  0.879529, Average Loss  0.872482, Time  0.448716
2021-09-25 02:13:57.351160 : Epoch  3, Batch     26, Loss  0.871594, Average Loss  0.873589, Time  0.448304
2021-09-25 02:13:58.696817 : Epoch  3, Batch    371, Loss  0.868610, Average Loss  0.872539, Time  0.460097
2021-09-25 02:14:03.355576 : Epoch  3, Batch     27, Loss  0.869182, Average Loss  0.873620, Time  0.446266
2021-09-25 02:14:04.818348 : Epoch  3, Batch    372, Loss  0.867083, Average Loss  0.872516, Time  0.446232
2021-09-25 02:14:09.416024 : Epoch  3, Batch     28, Loss  0.884250, Average Loss  0.873636, Time  0.453166
2021-09-25 02:14:10.978465 : Epoch  3, Batch    373, Loss  0.867305, Average Loss  0.872537, Time  0.449006
2021-09-25 02:14:15.452405 : Epoch  3, Batch     29, Loss  0.868426, Average Loss  0.873619, Time  0.445000
2021-09-25 02:14:17.123007 : Epoch  3, Batch    374, Loss  0.880042, Average Loss  0.872534, Time  0.447709
2021-09-25 02:14:21.493394 : Epoch  3, Batch     30, Loss  0.870551, Average Loss  0.873532, Time  0.458236
2021-09-25 02:14:23.266632 : Epoch  3, Batch    375, Loss  0.856400, Average Loss  0.872542, Time  0.452104
2021-09-25 02:14:27.513265 : Epoch  3, Batch     31, Loss  0.885211, Average Loss  0.873555, Time  0.448596
2021-09-25 02:14:29.399776 : Epoch  3, Batch    376, Loss  0.855978, Average Loss  0.872404, Time  0.446719
2021-09-25 02:14:33.534502 : Epoch  3, Batch     32, Loss  0.865636, Average Loss  0.873578, Time  0.446041
2021-09-25 02:14:35.528374 : Epoch  3, Batch    377, Loss  0.884069, Average Loss  0.872515, Time  0.445900
2021-09-25 02:14:39.561444 : Epoch  3, Batch     33, Loss  0.880707, Average Loss  0.873684, Time  0.447196
2021-09-25 02:14:41.683211 : Epoch  3, Batch    378, Loss  0.863250, Average Loss  0.872490, Time  0.448423
2021-09-25 02:14:45.578568 : Epoch  3, Batch     34, Loss  0.862990, Average Loss  0.873583, Time  0.445233
2021-09-25 02:14:47.832673 : Epoch  3, Batch    379, Loss  0.866532, Average Loss  0.872456, Time  0.459841
2021-09-25 02:14:51.600807 : Epoch  3, Batch     35, Loss  0.874212, Average Loss  0.873612, Time  0.445761
2021-09-25 02:14:53.986214 : Epoch  3, Batch    380, Loss  0.875926, Average Loss  0.872480, Time  0.446500
2021-09-25 02:14:57.616258 : Epoch  3, Batch     36, Loss  0.892055, Average Loss  0.873692, Time  0.447250
2021-09-25 02:15:00.145703 : Epoch  3, Batch    381, Loss  0.889488, Average Loss  0.872528, Time  0.449356
2021-09-25 02:15:03.640722 : Epoch  3, Batch     37, Loss  0.876377, Average Loss  0.873770, Time  0.446654
2021-09-25 02:15:06.302784 : Epoch  3, Batch    382, Loss  0.862564, Average Loss  0.872476, Time  0.448239
2021-09-25 02:15:09.690424 : Epoch  3, Batch     38, Loss  0.859859, Average Loss  0.873652, Time  0.463880
2021-09-25 02:15:12.431241 : Epoch  3, Batch    383, Loss  0.867293, Average Loss  0.872452, Time  0.450340
2021-09-25 02:15:15.708780 : Epoch  3, Batch     39, Loss  0.870633, Average Loss  0.873640, Time  0.448264
2021-09-25 02:15:18.569577 : Epoch  3, Batch    384, Loss  0.872238, Average Loss  0.872432, Time  0.445423
2021-09-25 02:15:21.737151 : Epoch  3, Batch     40, Loss  0.877989, Average Loss  0.873721, Time  0.446229
2021-09-25 02:15:24.703649 : Epoch  3, Batch    385, Loss  0.862494, Average Loss  0.872305, Time  0.448259
2021-09-25 02:15:27.758939 : Epoch  3, Batch     41, Loss  0.878012, Average Loss  0.873797, Time  0.446430
2021-09-25 02:15:30.867610 : Epoch  3, Batch    386, Loss  0.873749, Average Loss  0.872298, Time  0.454595
2021-09-25 02:15:33.800499 : Epoch  3, Batch     42, Loss  0.879013, Average Loss  0.873896, Time  0.445600
2021-09-25 02:15:37.009480 : Epoch  3, Batch    387, Loss  0.858426, Average Loss  0.872233, Time  0.448004
2021-09-25 02:15:39.833093 : Epoch  3, Batch     43, Loss  0.874269, Average Loss  0.873916, Time  0.445762
2021-09-25 02:15:43.140802 : Epoch  3, Batch    388, Loss  0.886263, Average Loss  0.872255, Time  0.446921
2021-09-25 02:15:45.852966 : Epoch  3, Batch     44, Loss  0.861201, Average Loss  0.873863, Time  0.445437
2021-09-25 02:15:49.285884 : Epoch  3, Batch    389, Loss  0.887696, Average Loss  0.872284, Time  0.447372
2021-09-25 02:15:55.433610 : Epoch  3, Batch    390, Loss  0.865857, Average Loss  0.872241, Time  0.446115
2021-09-25 02:16:01.568858 : Epoch  3, Batch    391, Loss  0.881704, Average Loss  0.872222, Time  0.447610
2021-09-25 02:16:07.718170 : Epoch  3, Batch    392, Loss  0.871879, Average Loss  0.872166, Time  0.448597
2021-09-25 02:16:13.852538 : Epoch  3, Batch    393, Loss  0.878346, Average Loss  0.872193, Time  0.447672
2021-09-25 02:16:20.005275 : Epoch  3, Batch    394, Loss  0.872333, Average Loss  0.872132, Time  0.451620
2021-09-25 02:16:26.149711 : Epoch  3, Batch    395, Loss  0.868663, Average Loss  0.872051, Time  0.448862
2021-09-25 02:16:32.276832 : Epoch  3, Batch    396, Loss  0.887339, Average Loss  0.872059, Time  0.445598
2021-09-25 02:16:38.411124 : Epoch  3, Batch    397, Loss  0.879458, Average Loss  0.872108, Time  0.445891
2021-09-25 02:16:44.536932 : Epoch  3, Batch    398, Loss  0.878268, Average Loss  0.872213, Time  0.448292
2021-09-25 02:16:50.674255 : Epoch  3, Batch    399, Loss  0.869761, Average Loss  0.872176, Time  0.448868
2021-09-25 02:16:56.813841 : Epoch  3, Batch    400, Loss  0.872177, Average Loss  0.872111, Time  0.447467
2021-09-25 02:17:03.004056 : Epoch  3, Batch    401, Loss  0.865503, Average Loss  0.872057, Time  0.467135
2021-09-25 02:17:09.168799 : Epoch  3, Batch    402, Loss  0.871463, Average Loss  0.872044, Time  0.449039
2021-09-25 02:17:15.314364 : Epoch  3, Batch    403, Loss  0.865593, Average Loss  0.872013, Time  0.448661
2021-09-25 02:17:21.468771 : Epoch  3, Batch    404, Loss  0.874749, Average Loss  0.872023, Time  0.447755
2021-09-25 02:17:27.616524 : Epoch  3, Batch    405, Loss  0.877759, Average Loss  0.872022, Time  0.447249
2021-09-25 02:17:33.754784 : Epoch  3, Batch    406, Loss  0.872888, Average Loss  0.871969, Time  0.449672
2021-09-25 02:17:39.900865 : Epoch  3, Batch    407, Loss  0.873743, Average Loss  0.871944, Time  0.447168
2021-09-25 02:17:46.039017 : Epoch  3, Batch    408, Loss  0.864722, Average Loss  0.871968, Time  0.447495
2021-09-25 02:17:52.194069 : Epoch  3, Batch    409, Loss  0.868119, Average Loss  0.871900, Time  0.457371
2021-09-25 02:17:58.314702 : Epoch  3, Batch    410, Loss  0.867715, Average Loss  0.871846, Time  0.447240
2021-09-25 02:18:04.441486 : Epoch  3, Batch    411, Loss  0.875486, Average Loss  0.871851, Time  0.447341
2021-09-25 02:18:10.603077 : Epoch  3, Batch    412, Loss  0.868449, Average Loss  0.871853, Time  0.450912
2021-09-25 02:18:16.746749 : Epoch  3, Batch    413, Loss  0.876887, Average Loss  0.871877, Time  0.447816
2021-09-25 02:18:22.904487 : Epoch  3, Batch    414, Loss  0.881925, Average Loss  0.871889, Time  0.448594
2021-09-25 02:18:29.042526 : Epoch  3, Batch    415, Loss  0.858730, Average Loss  0.871865, Time  0.446089
2021-09-25 02:18:35.182655 : Epoch  3, Batch    416, Loss  0.876190, Average Loss  0.871858, Time  0.455549
2021-09-25 02:18:41.339006 : Epoch  3, Batch    417, Loss  0.866985, Average Loss  0.871799, Time  0.449399
2021-09-25 02:18:47.474245 : Epoch  3, Batch    418, Loss  0.877458, Average Loss  0.871826, Time  0.447739
2021-09-25 02:18:53.630306 : Epoch  3, Batch    419, Loss  0.878633, Average Loss  0.871828, Time  0.446303
2021-09-25 02:18:59.763848 : Epoch  3, Batch    420, Loss  0.880317, Average Loss  0.871960, Time  0.445605
2021-09-25 02:19:05.904330 : Epoch  3, Batch    421, Loss  0.873990, Average Loss  0.871914, Time  0.446243
2021-09-25 02:19:12.066093 : Epoch  3, Batch    422, Loss  0.866554, Average Loss  0.871856, Time  0.448940
2021-09-25 02:19:18.221802 : Epoch  3, Batch    423, Loss  0.878468, Average Loss  0.871928, Time  0.446849
2021-09-25 02:19:24.381376 : Epoch  3, Batch    424, Loss  0.878499, Average Loss  0.872036, Time  0.463383
2021-09-25 02:19:30.509841 : Epoch  3, Batch    425, Loss  0.849306, Average Loss  0.871913, Time  0.445717
2021-09-25 02:19:36.660499 : Epoch  3, Batch    426, Loss  0.870281, Average Loss  0.871899, Time  0.446384
2021-09-25 02:19:42.810070 : Epoch  3, Batch    427, Loss  0.861859, Average Loss  0.871841, Time  0.451735
2021-09-25 02:19:48.954225 : Epoch  3, Batch    428, Loss  0.860715, Average Loss  0.871756, Time  0.447573
2021-09-25 02:19:55.084359 : Epoch  3, Batch    429, Loss  0.875357, Average Loss  0.871792, Time  0.445600
2021-09-25 02:20:01.238960 : Epoch  3, Batch    430, Loss  0.867911, Average Loss  0.871711, Time  0.446555
2021-09-25 02:20:07.378088 : Epoch  3, Batch    431, Loss  0.882808, Average Loss  0.871713, Time  0.458670
2021-09-25 02:20:13.523439 : Epoch  3, Batch    432, Loss  0.867338, Average Loss  0.871613, Time  0.445624
2021-09-25 02:20:19.654668 : Epoch  3, Batch    433, Loss  0.859580, Average Loss  0.871455, Time  0.449567
2021-09-25 02:20:25.777310 : Epoch  3, Batch    434, Loss  0.874573, Average Loss  0.871516, Time  0.446718
2021-09-25 02:20:31.912804 : Epoch  3, Batch    435, Loss  0.855958, Average Loss  0.871458, Time  0.446444
2021-09-25 02:20:33.270250 : CheckPoint: Validation Loss  0.00014982, Best Loss  0.00014852
2021-09-25 02:20:38.057802 : Epoch  3, Batch    436, Loss  0.872724, Average Loss  0.871434, Time  0.449161
2021-09-25 02:20:39.299768 : Epoch  3, Batch     45, Loss  0.861909, Average Loss  0.873842, Time  0.448676
2021-09-25 02:20:44.198806 : Epoch  3, Batch    437, Loss  0.862213, Average Loss  0.871410, Time  0.445871
2021-09-25 02:20:45.320917 : Epoch  3, Batch     46, Loss  0.873141, Average Loss  0.873893, Time  0.446623
2021-09-25 02:20:50.326294 : Epoch  3, Batch    438, Loss  0.872786, Average Loss  0.871412, Time  0.447122
2021-09-25 02:20:51.347152 : Epoch  3, Batch     47, Loss  0.880575, Average Loss  0.873949, Time  0.449075
2021-09-25 02:20:56.465819 : Epoch  3, Batch    439, Loss  0.871265, Average Loss  0.871399, Time  0.463057
2021-09-25 02:20:57.353161 : Epoch  3, Batch     48, Loss  0.873341, Average Loss  0.873943, Time  0.445329
2021-09-25 02:21:02.569074 : Epoch  3, Batch    440, Loss  0.870612, Average Loss  0.871426, Time  0.447065
2021-09-25 02:21:03.350557 : Epoch  3, Batch     49, Loss  0.863761, Average Loss  0.873845, Time  0.447285
2021-09-25 02:21:08.695027 : Epoch  3, Batch    441, Loss  0.863472, Average Loss  0.871379, Time  0.445592
2021-09-25 02:21:09.368370 : Epoch  3, Batch     50, Loss  0.890294, Average Loss  0.873945, Time  0.446576
2021-09-25 02:21:14.851979 : Epoch  3, Batch    442, Loss  0.873855, Average Loss  0.871330, Time  0.449841
2021-09-25 02:21:15.422827 : Epoch  3, Batch     51, Loss  0.863326, Average Loss  0.873926, Time  0.457900
2021-09-25 02:21:20.989185 : Epoch  3, Batch    443, Loss  0.858402, Average Loss  0.871227, Time  0.450850
2021-09-25 02:21:21.436361 : Epoch  3, Batch     52, Loss  0.877585, Average Loss  0.873944, Time  0.446255
2021-09-25 02:21:27.104579 : Epoch  3, Batch    444, Loss  0.866062, Average Loss  0.871241, Time  0.447013
2021-09-25 02:21:27.460856 : Epoch  3, Batch     53, Loss  0.886715, Average Loss  0.873976, Time  0.453360
2021-09-25 02:21:33.498351 : Epoch  3, Batch     54, Loss  0.870130, Average Loss  0.873909, Time  0.452376
2021-09-25 02:21:39.514001 : Epoch  3, Batch     55, Loss  0.863367, Average Loss  0.873895, Time  0.449908
2021-09-25 02:21:45.523703 : Epoch  3, Batch     56, Loss  0.879558, Average Loss  0.873917, Time  0.446381
2021-09-25 02:21:51.547287 : Epoch  3, Batch     57, Loss  0.872811, Average Loss  0.873927, Time  0.445932
2021-09-25 02:21:57.578982 : Epoch  3, Batch     58, Loss  0.867448, Average Loss  0.873884, Time  0.456572
2021-09-25 02:22:03.593280 : Epoch  3, Batch     59, Loss  0.877872, Average Loss  0.873932, Time  0.444747
2021-09-25 02:22:09.607572 : Epoch  3, Batch     60, Loss  0.873648, Average Loss  0.873948, Time  0.445578
2021-09-25 02:22:15.669236 : Epoch  3, Batch     61, Loss  0.869853, Average Loss  0.873899, Time  0.447497
2021-09-25 02:22:21.691540 : Epoch  3, Batch     62, Loss  0.854466, Average Loss  0.873867, Time  0.448102
2021-09-25 02:22:27.726637 : Epoch  3, Batch     63, Loss  0.881354, Average Loss  0.873932, Time  0.445542
2021-09-25 02:22:33.743416 : Epoch  3, Batch     64, Loss  0.878571, Average Loss  0.873980, Time  0.447340
2021-09-25 02:22:39.755799 : Epoch  3, Batch     65, Loss  0.876486, Average Loss  0.874090, Time  0.446021
2021-09-25 02:22:45.791752 : Epoch  3, Batch     66, Loss  0.869914, Average Loss  0.874060, Time  0.461028
2021-09-25 02:22:51.804824 : Epoch  3, Batch     67, Loss  0.867966, Average Loss  0.874038, Time  0.445912
2021-09-25 02:22:57.860823 : Epoch  3, Batch     68, Loss  0.894721, Average Loss  0.874080, Time  0.454545
2021-09-25 02:23:03.875045 : Epoch  3, Batch     69, Loss  0.881675, Average Loss  0.874128, Time  0.445330
2021-09-25 02:23:09.892328 : Epoch  3, Batch     70, Loss  0.877380, Average Loss  0.874079, Time  0.445601
2021-09-25 02:23:15.948807 : Epoch  3, Batch     71, Loss  0.872266, Average Loss  0.874141, Time  0.447848
2021-09-25 02:23:21.970814 : Epoch  3, Batch     72, Loss  0.880298, Average Loss  0.874308, Time  0.446463
2021-09-25 02:23:27.987080 : Epoch  3, Batch     73, Loss  0.871260, Average Loss  0.874325, Time  0.456316
2021-09-25 02:23:33.999765 : Epoch  3, Batch     74, Loss  0.875395, Average Loss  0.874352, Time  0.446062
2021-09-25 02:23:40.008818 : Epoch  3, Batch     75, Loss  0.875106, Average Loss  0.874425, Time  0.446939
2021-09-25 02:23:46.037630 : Epoch  3, Batch     76, Loss  0.876774, Average Loss  0.874430, Time  0.450861
2021-09-25 02:23:52.060485 : Epoch  3, Batch     77, Loss  0.874794, Average Loss  0.874467, Time  0.445609
2021-09-25 02:23:58.082812 : Epoch  3, Batch     78, Loss  0.861322, Average Loss  0.874413, Time  0.448076
2021-09-25 02:24:04.121499 : Epoch  3, Batch     79, Loss  0.874741, Average Loss  0.874364, Time  0.445127
2021-09-25 02:24:10.142969 : Epoch  3, Batch     80, Loss  0.870697, Average Loss  0.874325, Time  0.447767
2021-09-25 02:24:16.190145 : Epoch  3, Batch     81, Loss  0.890852, Average Loss  0.874392, Time  0.461895
2021-09-25 02:24:22.218601 : Epoch  3, Batch     82, Loss  0.880160, Average Loss  0.874371, Time  0.448175
2021-09-25 02:24:28.248032 : Epoch  3, Batch     83, Loss  0.866971, Average Loss  0.874348, Time  0.447135
2021-09-25 02:24:34.270536 : Epoch  3, Batch     84, Loss  0.866624, Average Loss  0.874308, Time  0.447484
2021-09-25 02:24:40.305446 : Epoch  3, Batch     85, Loss  0.865269, Average Loss  0.874208, Time  0.450912
2021-09-25 02:24:46.334473 : Epoch  3, Batch     86, Loss  0.865957, Average Loss  0.874152, Time  0.445911
2021-09-25 02:24:52.361136 : Epoch  3, Batch     87, Loss  0.879809, Average Loss  0.874126, Time  0.445144
2021-09-25 02:24:58.396620 : Epoch  3, Batch     88, Loss  0.844169, Average Loss  0.873986, Time  0.454601
2021-09-25 02:25:04.412858 : Epoch  3, Batch     89, Loss  0.883099, Average Loss  0.873954, Time  0.449128
2021-09-25 02:25:10.427373 : Epoch  3, Batch     90, Loss  0.876454, Average Loss  0.873967, Time  0.446071
2021-09-25 02:25:16.461183 : Epoch  3, Batch     91, Loss  0.869176, Average Loss  0.874005, Time  0.447171
2021-09-25 02:25:22.486107 : Epoch  3, Batch     92, Loss  0.881382, Average Loss  0.874059, Time  0.449129
2021-09-25 02:25:28.504338 : Epoch  3, Batch     93, Loss  0.862817, Average Loss  0.874001, Time  0.447159
2021-09-25 02:25:34.541043 : Epoch  3, Batch     94, Loss  0.867455, Average Loss  0.873927, Time  0.445293
2021-09-25 02:25:40.577790 : Epoch  3, Batch     95, Loss  0.865684, Average Loss  0.873926, Time  0.445938
2021-09-25 02:25:46.621984 : Epoch  3, Batch     96, Loss  0.875317, Average Loss  0.873860, Time  0.464859
2021-09-25 02:25:52.654773 : Epoch  3, Batch     97, Loss  0.869247, Average Loss  0.873831, Time  0.447837
2021-09-25 02:25:58.682533 : Epoch  3, Batch     98, Loss  0.860499, Average Loss  0.873805, Time  0.445092
2021-09-25 02:26:04.693803 : Epoch  3, Batch     99, Loss  0.874353, Average Loss  0.873760, Time  0.445157
2021-09-25 02:26:10.717270 : Epoch  3, Batch    100, Loss  0.891632, Average Loss  0.873866, Time  0.445762
2021-09-25 02:26:16.760444 : Epoch  3, Batch    101, Loss  0.878231, Average Loss  0.873855, Time  0.447175
2021-09-25 02:26:17.467556 : CheckPoint: Validation Loss  0.00015265, Best Loss  0.00014886
2021-09-25 02:26:22.785536 : Epoch  3, Batch    102, Loss  0.872326, Average Loss  0.873790, Time  0.449072
2021-09-25 02:26:23.605139 : Epoch  3, Batch    445, Loss  0.879575, Average Loss  0.871313, Time  0.457512
2021-09-25 02:26:28.807974 : Epoch  3, Batch    103, Loss  0.874688, Average Loss  0.873876, Time  0.454742
2021-09-25 02:26:29.724639 : Epoch  3, Batch    446, Loss  0.847174, Average Loss  0.871196, Time  0.448472
2021-09-25 02:26:34.826868 : Epoch  3, Batch    104, Loss  0.871012, Average Loss  0.873815, Time  0.445996
2021-09-25 02:26:35.832889 : Epoch  3, Batch    447, Loss  0.855937, Average Loss  0.871103, Time  0.446307
2021-09-25 02:26:40.863793 : Epoch  3, Batch    105, Loss  0.880218, Average Loss  0.873900, Time  0.449612
2021-09-25 02:26:41.979076 : Epoch  3, Batch    448, Loss  0.876452, Average Loss  0.871051, Time  0.452009
2021-09-25 02:26:46.881419 : Epoch  3, Batch    106, Loss  0.865587, Average Loss  0.873895, Time  0.446615
2021-09-25 02:26:48.110735 : Epoch  3, Batch    449, Loss  0.873879, Average Loss  0.871062, Time  0.445916
2021-09-25 02:26:52.919666 : Epoch  3, Batch    107, Loss  0.888360, Average Loss  0.873999, Time  0.446862
2021-09-25 02:26:54.253265 : Epoch  3, Batch    450, Loss  0.868189, Average Loss  0.871062, Time  0.457238
2021-09-25 02:26:58.949412 : Epoch  3, Batch    108, Loss  0.874216, Average Loss  0.874127, Time  0.445205
2021-09-25 02:27:00.366783 : Epoch  3, Batch    451, Loss  0.867559, Average Loss  0.871083, Time  0.445486
2021-09-25 02:27:05.001872 : Epoch  3, Batch    109, Loss  0.865727, Average Loss  0.874043, Time  0.449642
2021-09-25 02:27:06.530771 : Epoch  3, Batch    452, Loss  0.877754, Average Loss  0.871192, Time  0.461964
2021-09-25 02:27:11.033330 : Epoch  3, Batch    110, Loss  0.877701, Average Loss  0.874113, Time  0.445930
2021-09-25 02:27:12.663860 : Epoch  3, Batch    453, Loss  0.877553, Average Loss  0.871266, Time  0.447735
2021-09-25 02:27:17.082449 : Epoch  3, Batch    111, Loss  0.887625, Average Loss  0.874160, Time  0.459769
2021-09-25 02:27:18.786288 : Epoch  3, Batch    454, Loss  0.874289, Average Loss  0.871256, Time  0.449713
2021-09-25 02:27:23.112398 : Epoch  3, Batch    112, Loss  0.877734, Average Loss  0.874165, Time  0.445848
2021-09-25 02:27:24.918799 : Epoch  3, Batch    455, Loss  0.876197, Average Loss  0.871279, Time  0.447186
2021-09-25 02:27:29.135845 : Epoch  3, Batch    113, Loss  0.871780, Average Loss  0.874116, Time  0.447752
2021-09-25 02:27:31.064645 : Epoch  3, Batch    456, Loss  0.876066, Average Loss  0.871337, Time  0.449119
2021-09-25 02:27:35.172878 : Epoch  3, Batch    114, Loss  0.889538, Average Loss  0.874167, Time  0.449237
2021-09-25 02:27:37.201737 : Epoch  3, Batch    457, Loss  0.866634, Average Loss  0.871294, Time  0.455132
2021-09-25 02:27:41.229544 : Epoch  3, Batch    115, Loss  0.872441, Average Loss  0.874150, Time  0.447365
2021-09-25 02:27:43.323879 : Epoch  3, Batch    458, Loss  0.871943, Average Loss  0.871231, Time  0.447916
2021-09-25 02:27:47.251092 : Epoch  3, Batch    116, Loss  0.869767, Average Loss  0.874159, Time  0.446028
2021-09-25 02:27:49.469347 : Epoch  3, Batch    459, Loss  0.869504, Average Loss  0.871213, Time  0.458149
2021-09-25 02:27:53.271406 : Epoch  3, Batch    117, Loss  0.878324, Average Loss  0.874191, Time  0.445728
2021-09-25 02:27:55.596887 : Epoch  3, Batch    460, Loss  0.878569, Average Loss  0.871237, Time  0.446729
2021-09-25 02:27:59.315796 : Epoch  3, Batch    118, Loss  0.867892, Average Loss  0.874147, Time  0.459766
2021-09-25 02:28:01.704848 : Epoch  3, Batch    461, Loss  0.876424, Average Loss  0.871220, Time  0.445323
2021-09-25 02:28:05.333251 : Epoch  3, Batch    119, Loss  0.867474, Average Loss  0.874190, Time  0.445297
2021-09-25 02:28:07.834464 : Epoch  3, Batch    462, Loss  0.881019, Average Loss  0.871245, Time  0.447441
2021-09-25 02:28:11.368716 : Epoch  3, Batch    120, Loss  0.874668, Average Loss  0.874153, Time  0.449169
2021-09-25 02:28:13.953809 : Epoch  3, Batch    463, Loss  0.844148, Average Loss  0.871050, Time  0.447249
2021-09-25 02:28:17.417598 : Epoch  3, Batch    121, Loss  0.881687, Average Loss  0.874256, Time  0.451845
2021-09-25 02:28:20.070711 : Epoch  3, Batch    464, Loss  0.882578, Average Loss  0.871099, Time  0.445998
2021-09-25 02:28:23.432912 : Epoch  3, Batch    122, Loss  0.879746, Average Loss  0.874284, Time  0.446417
2021-09-25 02:28:26.182342 : Epoch  3, Batch    465, Loss  0.865519, Average Loss  0.871097, Time  0.448521
2021-09-25 02:28:29.452693 : Epoch  3, Batch    123, Loss  0.841225, Average Loss  0.874086, Time  0.450368
2021-09-25 02:28:32.302019 : Epoch  3, Batch    466, Loss  0.878410, Average Loss  0.871147, Time  0.446241
2021-09-25 02:28:35.466912 : Epoch  3, Batch    124, Loss  0.880602, Average Loss  0.874063, Time  0.446079
2021-09-25 02:28:38.437594 : Epoch  3, Batch    467, Loss  0.867039, Average Loss  0.871164, Time  0.459797
2021-09-25 02:28:41.504681 : Epoch  3, Batch    125, Loss  0.864323, Average Loss  0.874027, Time  0.445889
2021-09-25 02:28:44.564883 : Epoch  3, Batch    468, Loss  0.876747, Average Loss  0.871140, Time  0.452182
2021-09-25 02:28:47.558764 : Epoch  3, Batch    126, Loss  0.856408, Average Loss  0.873901, Time  0.465596
2021-09-25 02:28:50.680219 : Epoch  3, Batch    469, Loss  0.874032, Average Loss  0.871099, Time  0.450026
2021-09-25 02:28:53.592259 : Epoch  3, Batch    127, Loss  0.856343, Average Loss  0.873818, Time  0.449103
2021-09-25 02:28:56.785713 : Epoch  3, Batch    470, Loss  0.856643, Average Loss  0.871023, Time  0.450209
2021-09-25 02:28:59.629899 : Epoch  3, Batch    128, Loss  0.870579, Average Loss  0.873813, Time  0.447674
2021-09-25 02:29:02.904316 : Epoch  3, Batch    471, Loss  0.867918, Average Loss  0.871041, Time  0.447616
2021-09-25 02:29:05.653356 : Epoch  3, Batch    129, Loss  0.868681, Average Loss  0.873738, Time  0.445580
2021-09-25 02:29:09.024842 : Epoch  3, Batch    472, Loss  0.882077, Average Loss  0.871059, Time  0.449270
2021-09-25 02:29:11.679851 : Epoch  3, Batch    130, Loss  0.870559, Average Loss  0.873762, Time  0.446528
2021-09-25 02:29:15.139153 : Epoch  3, Batch    473, Loss  0.872046, Average Loss  0.871048, Time  0.448112
2021-09-25 02:29:17.696346 : Epoch  3, Batch    131, Loss  0.864265, Average Loss  0.873685, Time  0.447685
2021-09-25 02:29:21.264810 : Epoch  3, Batch    474, Loss  0.876691, Average Loss  0.871136, Time  0.455330
2021-09-25 02:29:23.719022 : Epoch  3, Batch    132, Loss  0.880298, Average Loss  0.873730, Time  0.446189
2021-09-25 02:29:27.376682 : Epoch  3, Batch    475, Loss  0.869361, Average Loss  0.871115, Time  0.446310
2021-09-25 02:29:29.733149 : Epoch  3, Batch    133, Loss  0.867679, Average Loss  0.873630, Time  0.459463
2021-09-25 02:29:33.480268 : Epoch  3, Batch    476, Loss  0.870251, Average Loss  0.871085, Time  0.446418
2021-09-25 02:29:35.729741 : Epoch  3, Batch    134, Loss  0.867336, Average Loss  0.873566, Time  0.446470
2021-09-25 02:29:39.575408 : Epoch  3, Batch    477, Loss  0.861238, Average Loss  0.871092, Time  0.450708
2021-09-25 02:29:41.749346 : Epoch  3, Batch    135, Loss  0.891137, Average Loss  0.873625, Time  0.445788
2021-09-25 02:29:45.682833 : Epoch  3, Batch    478, Loss  0.866495, Average Loss  0.871084, Time  0.446442
2021-09-25 02:29:47.769190 : Epoch  3, Batch    136, Loss  0.870365, Average Loss  0.873682, Time  0.445225
2021-09-25 02:29:51.791426 : Epoch  3, Batch    479, Loss  0.866370, Average Loss  0.871104, Time  0.447935
2021-09-25 02:29:53.793359 : Epoch  3, Batch    137, Loss  0.877702, Average Loss  0.873742, Time  0.448464
2021-09-25 02:29:57.887216 : Epoch  3, Batch    480, Loss  0.875022, Average Loss  0.871104, Time  0.446232
2021-09-25 02:29:59.795407 : Epoch  3, Batch    138, Loss  0.862559, Average Loss  0.873734, Time  0.447459
2021-09-25 02:30:03.998201 : Epoch  3, Batch    481, Loss  0.879067, Average Loss  0.871093, Time  0.445663
2021-09-25 02:30:05.825060 : Epoch  3, Batch    139, Loss  0.863436, Average Loss  0.873623, Time  0.445912
2021-09-25 02:30:10.132781 : Epoch  3, Batch    482, Loss  0.863357, Average Loss  0.871010, Time  0.462063
2021-09-25 02:30:11.846436 : Epoch  3, Batch    140, Loss  0.870129, Average Loss  0.873513, Time  0.445631
2021-09-25 02:30:16.242774 : Epoch  3, Batch    483, Loss  0.871297, Average Loss  0.870975, Time  0.446696
2021-09-25 02:30:17.877541 : Epoch  3, Batch    141, Loss  0.876196, Average Loss  0.873470, Time  0.457724
2021-09-25 02:30:22.343879 : Epoch  3, Batch    484, Loss  0.882630, Average Loss  0.870921, Time  0.447172
2021-09-25 02:30:23.876815 : Epoch  3, Batch    142, Loss  0.876727, Average Loss  0.873476, Time  0.445351
2021-09-25 02:30:28.458274 : Epoch  3, Batch    485, Loss  0.877698, Average Loss  0.870972, Time  0.446248
2021-09-25 02:30:29.894713 : Epoch  3, Batch    143, Loss  0.876035, Average Loss  0.873508, Time  0.450186
2021-09-25 02:30:34.584138 : Epoch  3, Batch    486, Loss  0.875079, Average Loss  0.870847, Time  0.447720
2021-09-25 02:30:40.737996 : Epoch  3, Batch    487, Loss  0.857372, Average Loss  0.870788, Time  0.449283
2021-09-25 02:30:43.784372 : Epoch  3, Batch    144, Loss  0.883606, Average Loss  0.873588, Time  0.446790
2021-09-25 02:30:46.867701 : Epoch  3, Batch    488, Loss  0.872802, Average Loss  0.870856, Time  0.447113
2021-09-25 02:30:53.007707 : Epoch  3, Batch    489, Loss  0.876265, Average Loss  0.870825, Time  0.455318
2021-09-25 02:30:59.128937 : Epoch  3, Batch    490, Loss  0.869864, Average Loss  0.870826, Time  0.449604
2021-09-25 02:31:05.239874 : Epoch  3, Batch    491, Loss  0.862092, Average Loss  0.870769, Time  0.447429
2021-09-25 02:31:11.346906 : Epoch  3, Batch    492, Loss  0.869356, Average Loss  0.870724, Time  0.448637
2021-09-25 02:31:17.442880 : Epoch  3, Batch    493, Loss  0.863651, Average Loss  0.870693, Time  0.446760
2021-09-25 02:31:23.557919 : Epoch  3, Batch    494, Loss  0.861300, Average Loss  0.870643, Time  0.448128
2021-09-25 02:31:29.673240 : Epoch  3, Batch    495, Loss  0.877884, Average Loss  0.870677, Time  0.446818
2021-09-25 02:31:35.794404 : Epoch  3, Batch    496, Loss  0.879864, Average Loss  0.870677, Time  0.447006
2021-09-25 02:31:41.964831 : Epoch  3, Batch    497, Loss  0.867428, Average Loss  0.870693, Time  0.460180
2021-09-25 02:31:48.104259 : Epoch  3, Batch    498, Loss  0.887072, Average Loss  0.870712, Time  0.449127
2021-09-25 02:31:54.237048 : Epoch  3, Batch    499, Loss  0.878998, Average Loss  0.870707, Time  0.446721
2021-09-25 02:32:00.362829 : Epoch  3, Batch    500, Loss  0.872927, Average Loss  0.870807, Time  0.446208
2021-09-25 02:32:06.503174 : Epoch  3, Batch    501, Loss  0.884284, Average Loss  0.870832, Time  0.450865
2021-09-25 02:32:12.635227 : Epoch  3, Batch    502, Loss  0.871014, Average Loss  0.870899, Time  0.455045
2021-09-25 02:32:18.765749 : Epoch  3, Batch    503, Loss  0.878671, Average Loss  0.870879, Time  0.446075
2021-09-25 02:32:24.898195 : Epoch  3, Batch    504, Loss  0.883375, Average Loss  0.871064, Time  0.457484
2021-09-25 02:32:31.000086 : Epoch  3, Batch    505, Loss  0.884745, Average Loss  0.871150, Time  0.445844
2021-09-25 02:32:37.122297 : Epoch  3, Batch    506, Loss  0.859855, Average Loss  0.871162, Time  0.446289
2021-09-25 02:32:43.256162 : Epoch  3, Batch    507, Loss  0.877924, Average Loss  0.871195, Time  0.445857
2021-09-25 02:32:49.393928 : Epoch  3, Batch    508, Loss  0.868296, Average Loss  0.871126, Time  0.448375
2021-09-25 02:32:55.518610 : Epoch  3, Batch    509, Loss  0.874667, Average Loss  0.871146, Time  0.446676
2021-09-25 02:33:01.637064 : Epoch  3, Batch    510, Loss  0.866932, Average Loss  0.871121, Time  0.449598
2021-09-25 02:33:07.744949 : Epoch  3, Batch    511, Loss  0.875400, Average Loss  0.871120, Time  0.446573
2021-09-25 02:33:13.869523 : Epoch  3, Batch    512, Loss  0.869596, Average Loss  0.871122, Time  0.457591
2021-09-25 02:33:19.988399 : Epoch  3, Batch    513, Loss  0.873747, Average Loss  0.871099, Time  0.446562
2021-09-25 02:33:26.098401 : Epoch  3, Batch    514, Loss  0.864207, Average Loss  0.870995, Time  0.446310
2021-09-25 02:33:32.228493 : Epoch  3, Batch    515, Loss  0.881634, Average Loss  0.871163, Time  0.446562
2021-09-25 02:33:38.355865 : Epoch  3, Batch    516, Loss  0.877064, Average Loss  0.871206, Time  0.446280
2021-09-25 02:33:44.482863 : Epoch  3, Batch    517, Loss  0.866402, Average Loss  0.871157, Time  0.451761
2021-09-25 02:33:50.618045 : Epoch  3, Batch    518, Loss  0.864763, Average Loss  0.871149, Time  0.446641
2021-09-25 02:33:56.765443 : Epoch  3, Batch    519, Loss  0.861037, Average Loss  0.871087, Time  0.460309
2021-09-25 02:34:02.907772 : Epoch  3, Batch    520, Loss  0.872139, Average Loss  0.871087, Time  0.448997
2021-09-25 02:34:09.017197 : Epoch  3, Batch    521, Loss  0.878307, Average Loss  0.871075, Time  0.446676
2021-09-25 02:34:15.150075 : Epoch  3, Batch    522, Loss  0.894422, Average Loss  0.871132, Time  0.449339
2021-09-25 02:34:21.255819 : Epoch  3, Batch    523, Loss  0.872805, Average Loss  0.871181, Time  0.446254
2021-09-25 02:34:27.380672 : Epoch  3, Batch    524, Loss  0.861709, Average Loss  0.871224, Time  0.446222
2021-09-25 02:34:33.509087 : Epoch  3, Batch    525, Loss  0.865343, Average Loss  0.871157, Time  0.445781
2021-09-25 02:34:39.630941 : Epoch  3, Batch    526, Loss  0.859725, Average Loss  0.871073, Time  0.448896
2021-09-25 02:34:45.835839 : Epoch  3, Batch    527, Loss  0.877447, Average Loss  0.871088, Time  0.458385
2021-09-25 02:34:51.972900 : Epoch  3, Batch    528, Loss  0.869727, Average Loss  0.871136, Time  0.448336
2021-09-25 02:34:58.107551 : Epoch  3, Batch    529, Loss  0.864558, Average Loss  0.871096, Time  0.446321
2021-09-25 02:35:04.227768 : Epoch  3, Batch    530, Loss  0.856881, Average Loss  0.871090, Time  0.445623
2021-09-25 02:35:10.358742 : Epoch  3, Batch    531, Loss  0.872982, Average Loss  0.871102, Time  0.448282
2021-09-25 02:35:16.465318 : Epoch  3, Batch    532, Loss  0.886185, Average Loss  0.871159, Time  0.448314
2021-09-25 02:35:22.592477 : Epoch  3, Batch    533, Loss  0.873867, Average Loss  0.871216, Time  0.446017
2021-09-25 02:35:28.729061 : Epoch  3, Batch    534, Loss  0.865825, Average Loss  0.871257, Time  0.459761
2021-09-25 02:35:29.953964 : CheckPoint: Validation Loss  0.00015077, Best Loss  0.00014852
2021-09-25 02:35:34.860040 : Epoch  3, Batch    535, Loss  0.864426, Average Loss  0.871239, Time  0.448498
2021-09-25 02:35:36.009951 : Epoch  3, Batch    145, Loss  0.878892, Average Loss  0.873629, Time  0.464282
2021-09-25 02:35:40.982810 : Epoch  3, Batch    536, Loss  0.866513, Average Loss  0.871198, Time  0.448593
2021-09-25 02:35:42.041395 : Epoch  3, Batch    146, Loss  0.850751, Average Loss  0.873506, Time  0.445732
2021-09-25 02:35:47.099287 : Epoch  3, Batch    537, Loss  0.877678, Average Loss  0.871217, Time  0.449401
2021-09-25 02:35:48.091039 : Epoch  3, Batch    147, Loss  0.884089, Average Loss  0.873528, Time  0.450657
2021-09-25 02:35:53.223081 : Epoch  3, Batch    538, Loss  0.886645, Average Loss  0.871393, Time  0.446024
2021-09-25 02:35:54.132574 : Epoch  3, Batch    148, Loss  0.883052, Average Loss  0.873674, Time  0.447629
2021-09-25 02:35:59.354892 : Epoch  3, Batch    539, Loss  0.884147, Average Loss  0.871508, Time  0.447916
2021-09-25 02:36:00.151163 : Epoch  3, Batch    149, Loss  0.856732, Average Loss  0.873614, Time  0.446845
2021-09-25 02:36:05.475645 : Epoch  3, Batch    540, Loss  0.852357, Average Loss  0.871378, Time  0.446513
2021-09-25 02:36:06.187687 : Epoch  3, Batch    150, Loss  0.882784, Average Loss  0.873601, Time  0.456424
2021-09-25 02:36:11.595775 : Epoch  3, Batch    541, Loss  0.871765, Average Loss  0.871432, Time  0.446038
2021-09-25 02:36:12.211576 : Epoch  3, Batch    151, Loss  0.873290, Average Loss  0.873578, Time  0.447207
2021-09-25 02:36:17.709140 : Epoch  3, Batch    542, Loss  0.865234, Average Loss  0.871395, Time  0.455517
2021-09-25 02:36:18.222474 : Epoch  3, Batch    152, Loss  0.873744, Average Loss  0.873627, Time  0.455109
2021-09-25 02:36:23.837530 : Epoch  3, Batch    543, Loss  0.872514, Average Loss  0.871326, Time  0.452762
2021-09-25 02:36:24.251877 : Epoch  3, Batch    153, Loss  0.873615, Average Loss  0.873680, Time  0.455363
2021-09-25 02:36:29.967523 : Epoch  3, Batch    544, Loss  0.882131, Average Loss  0.871360, Time  0.449958
2021-09-25 02:36:30.275990 : Epoch  3, Batch    154, Loss  0.874005, Average Loss  0.873649, Time  0.446255
2021-09-25 02:36:36.309269 : Epoch  3, Batch    155, Loss  0.877527, Average Loss  0.873724, Time  0.447498
2021-09-25 02:36:42.347927 : Epoch  3, Batch    156, Loss  0.877182, Average Loss  0.873773, Time  0.446856
2021-09-25 02:36:48.356666 : Epoch  3, Batch    157, Loss  0.884786, Average Loss  0.873827, Time  0.447525
2021-09-25 02:36:54.364533 : Epoch  3, Batch    158, Loss  0.873032, Average Loss  0.873771, Time  0.446703
2021-09-25 02:37:00.379799 : Epoch  3, Batch    159, Loss  0.856777, Average Loss  0.873757, Time  0.446625
2021-09-25 02:37:06.399363 : Epoch  3, Batch    160, Loss  0.880220, Average Loss  0.873745, Time  0.460269
2021-09-25 02:37:12.416871 : Epoch  3, Batch    161, Loss  0.879088, Average Loss  0.873668, Time  0.446246
2021-09-25 02:37:18.447509 : Epoch  3, Batch    162, Loss  0.869247, Average Loss  0.873593, Time  0.446302
2021-09-25 02:37:24.459371 : Epoch  3, Batch    163, Loss  0.852180, Average Loss  0.873433, Time  0.445755
2021-09-25 02:37:30.479435 : Epoch  3, Batch    164, Loss  0.883412, Average Loss  0.873487, Time  0.446055
2021-09-25 02:37:36.488870 : Epoch  3, Batch    165, Loss  0.870135, Average Loss  0.873481, Time  0.447927
2021-09-25 02:37:42.512599 : Epoch  3, Batch    166, Loss  0.858922, Average Loss  0.873376, Time  0.452720
2021-09-25 02:37:48.523903 : Epoch  3, Batch    167, Loss  0.872006, Average Loss  0.873322, Time  0.447699
2021-09-25 02:37:54.564386 : Epoch  3, Batch    168, Loss  0.875219, Average Loss  0.873317, Time  0.460647
2021-09-25 02:38:00.591805 : Epoch  3, Batch    169, Loss  0.869899, Average Loss  0.873305, Time  0.446361
2021-09-25 02:38:06.626660 : Epoch  3, Batch    170, Loss  0.873176, Average Loss  0.873399, Time  0.446252
2021-09-25 02:38:12.647884 : Epoch  3, Batch    171, Loss  0.880134, Average Loss  0.873386, Time  0.445838
2021-09-25 02:38:18.658107 : Epoch  3, Batch    172, Loss  0.872419, Average Loss  0.873419, Time  0.445986
2021-09-25 02:38:24.656708 : Epoch  3, Batch    173, Loss  0.854057, Average Loss  0.873354, Time  0.445957
2021-09-25 02:38:30.684886 : Epoch  3, Batch    174, Loss  0.865150, Average Loss  0.873321, Time  0.452376
2021-09-25 02:38:36.717741 : Epoch  3, Batch    175, Loss  0.851851, Average Loss  0.873161, Time  0.458240
2021-09-25 02:38:42.753884 : Epoch  3, Batch    176, Loss  0.874620, Average Loss  0.873163, Time  0.454767
2021-09-25 02:38:48.770433 : Epoch  3, Batch    177, Loss  0.872249, Average Loss  0.873048, Time  0.445699
2021-09-25 02:38:54.787537 : Epoch  3, Batch    178, Loss  0.868342, Average Loss  0.873017, Time  0.445959
2021-09-25 02:39:00.811957 : Epoch  3, Batch    179, Loss  0.867407, Average Loss  0.872968, Time  0.446548
2021-09-25 02:39:06.815740 : Epoch  3, Batch    180, Loss  0.867563, Average Loss  0.873045, Time  0.445966
2021-09-25 02:39:12.818628 : Epoch  3, Batch    181, Loss  0.869946, Average Loss  0.873067, Time  0.450510
2021-09-25 02:39:18.825776 : Epoch  3, Batch    182, Loss  0.882852, Average Loss  0.873168, Time  0.445903
2021-09-25 02:39:24.839559 : Epoch  3, Batch    183, Loss  0.886782, Average Loss  0.873264, Time  0.458562
2021-09-25 02:39:30.874695 : Epoch  3, Batch    184, Loss  0.879575, Average Loss  0.873192, Time  0.447172
2021-09-25 02:39:36.909753 : Epoch  3, Batch    185, Loss  0.869936, Average Loss  0.873210, Time  0.450198
2021-09-25 02:39:42.926014 : Epoch  3, Batch    186, Loss  0.883478, Average Loss  0.873244, Time  0.448184
2021-09-25 02:39:48.947653 : Epoch  3, Batch    187, Loss  0.877465, Average Loss  0.873270, Time  0.446697
2021-09-25 02:39:54.963809 : Epoch  3, Batch    188, Loss  0.869137, Average Loss  0.873278, Time  0.446651
2021-09-25 02:40:00.982364 : Epoch  3, Batch    189, Loss  0.867700, Average Loss  0.873269, Time  0.449551
2021-09-25 02:40:07.029135 : Epoch  3, Batch    190, Loss  0.878586, Average Loss  0.873310, Time  0.458310
2021-09-25 02:40:13.056589 : Epoch  3, Batch    191, Loss  0.878502, Average Loss  0.873267, Time  0.449371
2021-09-25 02:40:19.080408 : Epoch  3, Batch    192, Loss  0.877710, Average Loss  0.873207, Time  0.447700
2021-09-25 02:40:25.096118 : Epoch  3, Batch    193, Loss  0.859607, Average Loss  0.873146, Time  0.451266
2021-09-25 02:40:31.123451 : Epoch  3, Batch    194, Loss  0.881517, Average Loss  0.873185, Time  0.445702
2021-09-25 02:40:37.136303 : Epoch  3, Batch    195, Loss  0.880946, Average Loss  0.873229, Time  0.445495
2021-09-25 02:40:43.161238 : Epoch  3, Batch    196, Loss  0.875971, Average Loss  0.873216, Time  0.446976
2021-09-25 02:40:49.178985 : Epoch  3, Batch    197, Loss  0.879358, Average Loss  0.873146, Time  0.448076
2021-09-25 02:40:55.199217 : Epoch  3, Batch    198, Loss  0.872225, Average Loss  0.873167, Time  0.462445
2021-09-25 02:41:01.211004 : Epoch  3, Batch    199, Loss  0.876934, Average Loss  0.873217, Time  0.446083
2021-09-25 02:41:07.236192 : Epoch  3, Batch    200, Loss  0.883663, Average Loss  0.873323, Time  0.446074
2021-09-25 02:41:13.251205 : Epoch  3, Batch    201, Loss  0.865875, Average Loss  0.873278, Time  0.446092
2021-09-25 02:41:19.295194 : Epoch  3, Batch    202, Loss  0.868455, Average Loss  0.873190, Time  0.449585
2021-09-25 02:41:19.620916 : CheckPoint: Validation Loss  0.00014997, Best Loss  0.00014886
2021-09-25 02:41:25.303821 : Epoch  3, Batch    203, Loss  0.867963, Average Loss  0.873209, Time  0.445886
2021-09-25 02:41:25.704477 : Epoch  3, Batch    545, Loss  0.861221, Average Loss  0.871328, Time  0.448460
2021-09-25 02:41:31.336297 : Epoch  3, Batch    204, Loss  0.865064, Average Loss  0.873075, Time  0.448833
2021-09-25 02:41:31.812876 : Epoch  3, Batch    546, Loss  0.864998, Average Loss  0.871335, Time  0.447664
2021-09-25 02:41:37.384190 : Epoch  3, Batch    205, Loss  0.866873, Average Loss  0.873094, Time  0.459878
2021-09-25 02:41:37.928504 : Epoch  3, Batch    547, Loss  0.872175, Average Loss  0.871404, Time  0.456314
2021-09-25 02:41:43.399223 : Epoch  3, Batch    206, Loss  0.877825, Average Loss  0.873094, Time  0.446358
2021-09-25 02:41:44.032749 : Epoch  3, Batch    548, Loss  0.863465, Average Loss  0.871349, Time  0.447375
2021-09-25 02:41:49.422905 : Epoch  3, Batch    207, Loss  0.866769, Average Loss  0.873131, Time  0.449449
2021-09-25 02:41:50.143893 : Epoch  3, Batch    549, Loss  0.881925, Average Loss  0.871416, Time  0.449677
2021-09-25 02:41:55.464719 : Epoch  3, Batch    208, Loss  0.869643, Average Loss  0.873095, Time  0.447131
2021-09-25 02:41:56.250406 : Epoch  3, Batch    550, Loss  0.870705, Average Loss  0.871419, Time  0.446713
2021-09-25 02:42:01.499214 : Epoch  3, Batch    209, Loss  0.876933, Average Loss  0.873041, Time  0.446238
2021-09-25 02:42:02.369268 : Epoch  3, Batch    551, Loss  0.869528, Average Loss  0.871423, Time  0.451277
2021-09-25 02:42:07.534908 : Epoch  3, Batch    210, Loss  0.875042, Average Loss  0.873006, Time  0.448008
2021-09-25 02:42:08.479929 : Epoch  3, Batch    552, Loss  0.883097, Average Loss  0.871497, Time  0.446371
2021-09-25 02:42:13.578113 : Epoch  3, Batch    211, Loss  0.865518, Average Loss  0.872830, Time  0.449214
2021-09-25 02:42:14.584492 : Epoch  3, Batch    553, Loss  0.876867, Average Loss  0.871575, Time  0.445817
2021-09-25 02:42:19.591587 : Epoch  3, Batch    212, Loss  0.875141, Average Loss  0.872864, Time  0.446335
2021-09-25 02:42:20.694743 : Epoch  3, Batch    554, Loss  0.874099, Average Loss  0.871563, Time  0.448340
2021-09-25 02:42:25.626657 : Epoch  3, Batch    213, Loss  0.853958, Average Loss  0.872906, Time  0.462194
2021-09-25 02:42:26.809812 : Epoch  3, Batch    555, Loss  0.865983, Average Loss  0.871539, Time  0.459628
2021-09-25 02:42:31.660017 : Epoch  3, Batch    214, Loss  0.898327, Average Loss  0.873064, Time  0.446859
2021-09-25 02:42:32.920910 : Epoch  3, Batch    556, Loss  0.878583, Average Loss  0.871650, Time  0.448904
2021-09-25 02:42:37.702875 : Epoch  3, Batch    215, Loss  0.876917, Average Loss  0.873050, Time  0.451261
2021-09-25 02:42:39.043968 : Epoch  3, Batch    557, Loss  0.874891, Average Loss  0.871692, Time  0.447058
2021-09-25 02:42:43.733850 : Epoch  3, Batch    216, Loss  0.875493, Average Loss  0.872977, Time  0.448638
2021-09-25 02:42:45.147476 : Epoch  3, Batch    558, Loss  0.876115, Average Loss  0.871734, Time  0.446214
2021-09-25 02:42:49.749957 : Epoch  3, Batch    217, Loss  0.876091, Average Loss  0.872989, Time  0.445903
2021-09-25 02:42:51.238045 : Epoch  3, Batch    559, Loss  0.873713, Average Loss  0.871687, Time  0.448275
2021-09-25 02:42:55.780307 : Epoch  3, Batch    218, Loss  0.860596, Average Loss  0.872948, Time  0.446583
2021-09-25 02:42:57.354717 : Epoch  3, Batch    560, Loss  0.882902, Average Loss  0.871677, Time  0.449237
2021-09-25 02:43:01.804494 : Epoch  3, Batch    219, Loss  0.874330, Average Loss  0.872959, Time  0.445684
2021-09-25 02:43:03.457904 : Epoch  3, Batch    561, Loss  0.849565, Average Loss  0.871593, Time  0.446040
2021-09-25 02:43:07.885189 : Epoch  3, Batch    220, Loss  0.874072, Average Loss  0.872913, Time  0.465529
2021-09-25 02:43:09.580810 : Epoch  3, Batch    562, Loss  0.857551, Average Loss  0.871508, Time  0.461505
2021-09-25 02:43:13.932811 : Epoch  3, Batch    221, Loss  0.869796, Average Loss  0.872976, Time  0.449176
2021-09-25 02:43:15.691671 : Epoch  3, Batch    563, Loss  0.865430, Average Loss  0.871567, Time  0.446314
2021-09-25 02:43:19.964772 : Epoch  3, Batch    222, Loss  0.875246, Average Loss  0.872977, Time  0.448353
2021-09-25 02:43:21.807888 : Epoch  3, Batch    564, Loss  0.850255, Average Loss  0.871472, Time  0.451933
2021-09-25 02:43:25.989943 : Epoch  3, Batch    223, Loss  0.895258, Average Loss  0.873083, Time  0.445186
2021-09-25 02:43:27.926681 : Epoch  3, Batch    565, Loss  0.873616, Average Loss  0.871423, Time  0.451203
2021-09-25 02:43:32.077184 : Epoch  3, Batch    224, Loss  0.881848, Average Loss  0.873124, Time  0.449434
2021-09-25 02:43:34.043651 : Epoch  3, Batch    566, Loss  0.875383, Average Loss  0.871407, Time  0.447685
2021-09-25 02:43:38.120886 : Epoch  3, Batch    225, Loss  0.869503, Average Loss  0.873073, Time  0.451459
2021-09-25 02:43:40.182272 : Epoch  3, Batch    567, Loss  0.853485, Average Loss  0.871305, Time  0.447409
2021-09-25 02:43:44.164877 : Epoch  3, Batch    226, Loss  0.872189, Average Loss  0.873076, Time  0.450250
2021-09-25 02:43:46.300292 : Epoch  3, Batch    568, Loss  0.870528, Average Loss  0.871213, Time  0.449719
2021-09-25 02:43:50.175308 : Epoch  3, Batch    227, Loss  0.879375, Average Loss  0.873127, Time  0.448544
2021-09-25 02:43:52.409869 : Epoch  3, Batch    569, Loss  0.861597, Average Loss  0.871143, Time  0.446304
2021-09-25 02:43:56.212663 : Epoch  3, Batch    228, Loss  0.875315, Average Loss  0.873082, Time  0.460649
2021-09-25 02:43:58.543449 : Epoch  3, Batch    570, Loss  0.868820, Average Loss  0.871089, Time  0.461683
2021-09-25 02:44:02.244484 : Epoch  3, Batch    229, Loss  0.878002, Average Loss  0.873130, Time  0.463199
2021-09-25 02:44:04.667265 : Epoch  3, Batch    571, Loss  0.875622, Average Loss  0.871124, Time  0.448274
2021-09-25 02:44:08.280641 : Epoch  3, Batch    230, Loss  0.872352, Average Loss  0.873139, Time  0.446616
2021-09-25 02:44:10.766537 : Epoch  3, Batch    572, Loss  0.852911, Average Loss  0.871053, Time  0.451927
2021-09-25 02:44:14.306503 : Epoch  3, Batch    231, Loss  0.867484, Average Loss  0.873050, Time  0.449248
2021-09-25 02:44:16.877854 : Epoch  3, Batch    573, Loss  0.874250, Average Loss  0.871088, Time  0.447131
2021-09-25 02:44:20.332170 : Epoch  3, Batch    232, Loss  0.863678, Average Loss  0.873040, Time  0.445374
2021-09-25 02:44:22.980879 : Epoch  3, Batch    574, Loss  0.879552, Average Loss  0.871086, Time  0.447585
2021-09-25 02:44:26.360668 : Epoch  3, Batch    233, Loss  0.878453, Average Loss  0.873029, Time  0.448738
2021-09-25 02:44:29.094575 : Epoch  3, Batch    575, Loss  0.873435, Average Loss  0.871171, Time  0.445833
2021-09-25 02:44:32.378182 : Epoch  3, Batch    234, Loss  0.860230, Average Loss  0.873015, Time  0.448189
2021-09-25 02:44:35.194924 : Epoch  3, Batch    576, Loss  0.882075, Average Loss  0.871301, Time  0.446966
2021-09-25 02:44:38.418767 : Epoch  3, Batch    235, Loss  0.859592, Average Loss  0.872942, Time  0.458118
2021-09-25 02:44:41.339729 : Epoch  3, Batch    577, Loss  0.860653, Average Loss  0.871184, Time  0.468410
2021-09-25 02:44:44.488724 : Epoch  3, Batch    236, Loss  0.856020, Average Loss  0.872762, Time  0.449983
2021-09-25 02:44:47.453976 : Epoch  3, Batch    578, Loss  0.871261, Average Loss  0.871224, Time  0.448242
2021-09-25 02:44:50.519932 : Epoch  3, Batch    237, Loss  0.870916, Average Loss  0.872735, Time  0.448401
2021-09-25 02:44:53.557071 : Epoch  3, Batch    579, Loss  0.860526, Average Loss  0.871194, Time  0.447537
2021-09-25 02:44:56.552030 : Epoch  3, Batch    238, Loss  0.864391, Average Loss  0.872757, Time  0.448792
2021-09-25 02:44:59.661149 : Epoch  3, Batch    580, Loss  0.884639, Average Loss  0.871238, Time  0.446252
2021-09-25 02:45:02.590465 : Epoch  3, Batch    239, Loss  0.859560, Average Loss  0.872702, Time  0.446692
2021-09-25 02:45:05.788700 : Epoch  3, Batch    581, Loss  0.863779, Average Loss  0.871109, Time  0.446205
2021-09-25 02:45:08.642127 : Epoch  3, Batch    240, Loss  0.876980, Average Loss  0.872697, Time  0.446010
2021-09-25 02:45:11.893677 : Epoch  3, Batch    582, Loss  0.878020, Average Loss  0.871187, Time  0.449566
2021-09-25 02:45:14.679196 : Epoch  3, Batch    241, Loss  0.869124, Average Loss  0.872653, Time  0.448189
2021-09-25 02:45:18.028295 : Epoch  3, Batch    583, Loss  0.861765, Average Loss  0.871159, Time  0.451354
2021-09-25 02:45:20.726607 : Epoch  3, Batch    242, Loss  0.880046, Average Loss  0.872658, Time  0.448615
2021-09-25 02:45:24.149130 : Epoch  3, Batch    584, Loss  0.864451, Average Loss  0.871120, Time  0.449382
2021-09-25 02:45:26.754670 : Epoch  3, Batch    243, Loss  0.859084, Average Loss  0.872582, Time  0.457563
2021-09-25 02:45:30.285098 : Epoch  3, Batch    585, Loss  0.871914, Average Loss  0.871167, Time  0.467926
2021-09-25 02:45:32.762309 : Epoch  3, Batch    244, Loss  0.874571, Average Loss  0.872649, Time  0.445229
2021-09-25 02:45:36.402112 : Epoch  3, Batch    586, Loss  0.862794, Average Loss  0.871112, Time  0.447370
2021-09-25 02:45:42.549634 : Epoch  3, Batch    587, Loss  0.874145, Average Loss  0.871191, Time  0.456103
2021-09-25 02:45:48.676718 : Epoch  3, Batch    588, Loss  0.871164, Average Loss  0.871115, Time  0.446572
2021-09-25 02:45:54.789086 : Epoch  3, Batch    589, Loss  0.862421, Average Loss  0.870989, Time  0.446406
2021-09-25 02:46:00.886120 : Epoch  3, Batch    590, Loss  0.880723, Average Loss  0.871063, Time  0.447624
2021-09-25 02:46:06.992222 : Epoch  3, Batch    591, Loss  0.874731, Average Loss  0.871029, Time  0.450475
2021-09-25 02:46:13.113278 : Epoch  3, Batch    592, Loss  0.874028, Average Loss  0.871039, Time  0.458299
2021-09-25 02:46:19.216047 : Epoch  3, Batch    593, Loss  0.863295, Average Loss  0.870964, Time  0.448276
2021-09-25 02:46:25.328999 : Epoch  3, Batch    594, Loss  0.859824, Average Loss  0.870901, Time  0.450014
2021-09-25 02:46:31.440419 : Epoch  3, Batch    595, Loss  0.849106, Average Loss  0.870804, Time  0.446683
2021-09-25 02:46:37.546751 : Epoch  3, Batch    596, Loss  0.857239, Average Loss  0.870653, Time  0.446157
2021-09-25 02:46:43.633886 : Epoch  3, Batch    597, Loss  0.865297, Average Loss  0.870582, Time  0.451850
2021-09-25 02:46:49.734806 : Epoch  3, Batch    598, Loss  0.862360, Average Loss  0.870503, Time  0.446468
2021-09-25 02:46:55.855291 : Epoch  3, Batch    599, Loss  0.872318, Average Loss  0.870516, Time  0.448477
2021-09-25 02:47:01.982327 : Epoch  3, Batch    600, Loss  0.859777, Average Loss  0.870454, Time  0.455680
2021-09-25 02:47:08.091791 : Epoch  3, Batch    601, Loss  0.872982, Average Loss  0.870491, Time  0.448671
2021-09-25 02:47:14.217069 : Epoch  3, Batch    602, Loss  0.867512, Average Loss  0.870471, Time  0.462197
2021-09-25 02:47:20.329821 : Epoch  3, Batch    603, Loss  0.875837, Average Loss  0.870522, Time  0.447655
2021-09-25 02:47:26.439519 : Epoch  3, Batch    604, Loss  0.862068, Average Loss  0.870459, Time  0.449439
2021-09-25 02:47:32.535756 : Epoch  3, Batch    605, Loss  0.871243, Average Loss  0.870427, Time  0.446560
2021-09-25 02:47:38.616066 : Epoch  3, Batch    606, Loss  0.871454, Average Loss  0.870419, Time  0.445694
2021-09-25 02:47:44.705233 : Epoch  3, Batch    607, Loss  0.876708, Average Loss  0.870434, Time  0.460068
2021-09-25 02:47:50.805468 : Epoch  3, Batch    608, Loss  0.864586, Average Loss  0.870433, Time  0.449364
2021-09-25 02:47:56.906813 : Epoch  3, Batch    609, Loss  0.868977, Average Loss  0.870438, Time  0.449714
2021-09-25 02:48:03.010974 : Epoch  3, Batch    610, Loss  0.870287, Average Loss  0.870451, Time  0.452451
2021-09-25 02:48:09.114560 : Epoch  3, Batch    611, Loss  0.872926, Average Loss  0.870438, Time  0.446303
2021-09-25 02:48:15.214934 : Epoch  3, Batch    612, Loss  0.865301, Average Loss  0.870422, Time  0.447541
2021-09-25 02:48:21.318543 : Epoch  3, Batch    613, Loss  0.867365, Average Loss  0.870374, Time  0.447563
2021-09-25 02:48:27.435824 : Epoch  3, Batch    614, Loss  0.875050, Average Loss  0.870340, Time  0.449027
2021-09-25 02:48:33.546121 : Epoch  3, Batch    615, Loss  0.871270, Average Loss  0.870403, Time  0.456298
2021-09-25 02:48:39.649549 : Epoch  3, Batch    616, Loss  0.868906, Average Loss  0.870366, Time  0.446031
2021-09-25 02:48:45.739435 : Epoch  3, Batch    617, Loss  0.860835, Average Loss  0.870336, Time  0.446387
2021-09-25 02:48:51.835264 : Epoch  3, Batch    618, Loss  0.867001, Average Loss  0.870283, Time  0.448290
2021-09-25 02:48:57.946875 : Epoch  3, Batch    619, Loss  0.869062, Average Loss  0.870235, Time  0.445788
2021-09-25 02:49:04.049958 : Epoch  3, Batch    620, Loss  0.880849, Average Loss  0.870238, Time  0.455312
2021-09-25 02:49:10.186001 : Epoch  3, Batch    621, Loss  0.864409, Average Loss  0.870190, Time  0.451114
2021-09-25 02:49:16.319565 : Epoch  3, Batch    622, Loss  0.877351, Average Loss  0.870244, Time  0.458689
2021-09-25 02:49:22.423444 : Epoch  3, Batch    623, Loss  0.873853, Average Loss  0.870221, Time  0.447498
2021-09-25 02:49:28.541837 : Epoch  3, Batch    624, Loss  0.860733, Average Loss  0.870132, Time  0.450602
2021-09-25 02:49:34.682515 : Epoch  3, Batch    625, Loss  0.875735, Average Loss  0.870264, Time  0.449373
2021-09-25 02:49:40.791964 : Epoch  3, Batch    626, Loss  0.873603, Average Loss  0.870281, Time  0.446536
2021-09-25 02:49:46.881179 : Epoch  3, Batch    627, Loss  0.870644, Average Loss  0.870325, Time  0.446409
2021-09-25 02:49:52.989891 : Epoch  3, Batch    628, Loss  0.880652, Average Loss  0.870425, Time  0.447352
2021-09-25 02:49:59.098909 : Epoch  3, Batch    629, Loss  0.873521, Average Loss  0.870416, Time  0.446582
2021-09-25 02:50:05.214601 : Epoch  3, Batch    630, Loss  0.869993, Average Loss  0.870426, Time  0.460951
2021-09-25 02:50:11.309836 : Epoch  3, Batch    631, Loss  0.883302, Average Loss  0.870428, Time  0.449172
2021-09-25 02:50:17.417702 : Epoch  3, Batch    632, Loss  0.877642, Average Loss  0.870480, Time  0.448341
2021-09-25 02:50:20.462269 : CheckPoint: Validation Loss  0.00015099, Best Loss  0.00014852
2021-09-25 02:50:23.536555 : Epoch  3, Batch    633, Loss  0.857607, Average Loss  0.870470, Time  0.446410
2021-09-25 02:50:26.491269 : Epoch  3, Batch    245, Loss  0.869328, Average Loss  0.872686, Time  0.451790
2021-09-25 02:50:29.643768 : Epoch  3, Batch    634, Loss  0.871987, Average Loss  0.870457, Time  0.446759
2021-09-25 02:50:32.521386 : Epoch  3, Batch    246, Loss  0.876210, Average Loss  0.872701, Time  0.448614
2021-09-25 02:50:35.755925 : Epoch  3, Batch    635, Loss  0.881438, Average Loss  0.870585, Time  0.446613
2021-09-25 02:50:38.545987 : Epoch  3, Batch    247, Loss  0.866689, Average Loss  0.872632, Time  0.446872
2021-09-25 02:50:41.863438 : Epoch  3, Batch    636, Loss  0.870531, Average Loss  0.870574, Time  0.445644
2021-09-25 02:50:44.586475 : Epoch  3, Batch    248, Loss  0.880777, Average Loss  0.872669, Time  0.455609
2021-09-25 02:50:47.983255 : Epoch  3, Batch    637, Loss  0.858398, Average Loss  0.870554, Time  0.460518
2021-09-25 02:50:50.613201 : Epoch  3, Batch    249, Loss  0.879910, Average Loss  0.872750, Time  0.448814
2021-09-25 02:50:54.075281 : Epoch  3, Batch    638, Loss  0.868021, Average Loss  0.870531, Time  0.446994
2021-09-25 02:50:56.638575 : Epoch  3, Batch    250, Loss  0.879962, Average Loss  0.872698, Time  0.445734
2021-09-25 02:51:00.188963 : Epoch  3, Batch    639, Loss  0.871424, Average Loss  0.870531, Time  0.445540
2021-09-25 02:51:02.677082 : Epoch  3, Batch    251, Loss  0.875970, Average Loss  0.872761, Time  0.446094
2021-09-25 02:51:06.300293 : Epoch  3, Batch    640, Loss  0.864289, Average Loss  0.870500, Time  0.449020
2021-09-25 02:51:08.703435 : Epoch  3, Batch    252, Loss  0.877755, Average Loss  0.872762, Time  0.448476
2021-09-25 02:51:12.403750 : Epoch  3, Batch    641, Loss  0.876694, Average Loss  0.870566, Time  0.450510
2021-09-25 02:51:14.806954 : Epoch  3, Batch    253, Loss  0.875627, Average Loss  0.872707, Time  0.445746
2021-09-25 02:51:18.513786 : Epoch  3, Batch    642, Loss  0.871462, Average Loss  0.870554, Time  0.448725
2021-09-25 02:51:20.853893 : Epoch  3, Batch    254, Loss  0.877698, Average Loss  0.872744, Time  0.449651
2021-09-25 02:51:24.601402 : Epoch  3, Batch    643, Loss  0.866426, Average Loss  0.870594, Time  0.447269
2021-09-25 02:51:26.878714 : Epoch  3, Batch    255, Loss  0.875236, Average Loss  0.872804, Time  0.450301
2021-09-25 02:51:30.715011 : Epoch  3, Batch    644, Loss  0.867601, Average Loss  0.870602, Time  0.450137
2021-09-25 02:51:32.933981 : Epoch  3, Batch    256, Loss  0.868586, Average Loss  0.872749, Time  0.463808
2021-09-25 02:51:39.123420 : Epoch  3, Batch    257, Loss  0.869819, Average Loss  0.872734, Time  0.446003
2021-09-25 02:51:45.168121 : Epoch  3, Batch    258, Loss  0.853345, Average Loss  0.872663, Time  0.452284
2021-09-25 02:51:51.208665 : Epoch  3, Batch    259, Loss  0.884192, Average Loss  0.872695, Time  0.455207
2021-09-25 02:51:57.236993 : Epoch  3, Batch    260, Loss  0.867216, Average Loss  0.872663, Time  0.445634
2021-09-25 02:52:03.276814 : Epoch  3, Batch    261, Loss  0.877185, Average Loss  0.872699, Time  0.449705
2021-09-25 02:52:09.295799 : Epoch  3, Batch    262, Loss  0.866244, Average Loss  0.872758, Time  0.446251
2021-09-25 02:52:15.322501 : Epoch  3, Batch    263, Loss  0.867513, Average Loss  0.872689, Time  0.455536
2021-09-25 02:52:21.378616 : Epoch  3, Batch    264, Loss  0.885741, Average Loss  0.872725, Time  0.456175
2021-09-25 02:52:27.387432 : Epoch  3, Batch    265, Loss  0.865524, Average Loss  0.872670, Time  0.446522
2021-09-25 02:52:33.411443 : Epoch  3, Batch    266, Loss  0.883175, Average Loss  0.872736, Time  0.447464
2021-09-25 02:52:39.423581 : Epoch  3, Batch    267, Loss  0.869847, Average Loss  0.872746, Time  0.446855
2021-09-25 02:52:45.470795 : Epoch  3, Batch    268, Loss  0.880998, Average Loss  0.872677, Time  0.446085
2021-09-25 02:52:51.468852 : Epoch  3, Batch    269, Loss  0.880613, Average Loss  0.872672, Time  0.448756
2021-09-25 02:52:57.474273 : Epoch  3, Batch    270, Loss  0.870837, Average Loss  0.872639, Time  0.446556
2021-09-25 02:53:03.506071 : Epoch  3, Batch    271, Loss  0.891567, Average Loss  0.872736, Time  0.462693
2021-09-25 02:53:09.533656 : Epoch  3, Batch    272, Loss  0.876592, Average Loss  0.872717, Time  0.449617
2021-09-25 02:53:15.549891 : Epoch  3, Batch    273, Loss  0.863587, Average Loss  0.872679, Time  0.445275
2021-09-25 02:53:21.568812 : Epoch  3, Batch    274, Loss  0.869987, Average Loss  0.872652, Time  0.446942
2021-09-25 02:53:27.593122 : Epoch  3, Batch    275, Loss  0.864122, Average Loss  0.872597, Time  0.446496
2021-09-25 02:53:33.611699 : Epoch  3, Batch    276, Loss  0.868907, Average Loss  0.872558, Time  0.446456
2021-09-25 02:53:39.639717 : Epoch  3, Batch    277, Loss  0.873499, Average Loss  0.872551, Time  0.448666
2021-09-25 02:53:45.693196 : Epoch  3, Batch    278, Loss  0.861018, Average Loss  0.872550, Time  0.458606
2021-09-25 02:53:51.723820 : Epoch  3, Batch    279, Loss  0.867173, Average Loss  0.872512, Time  0.445981
2021-09-25 02:53:57.749820 : Epoch  3, Batch    280, Loss  0.877651, Average Loss  0.872546, Time  0.445956
2021-09-25 02:54:03.763264 : Epoch  3, Batch    281, Loss  0.869865, Average Loss  0.872442, Time  0.445799
2021-09-25 02:54:09.779729 : Epoch  3, Batch    282, Loss  0.876744, Average Loss  0.872424, Time  0.446217
2021-09-25 02:54:15.788721 : Epoch  3, Batch    283, Loss  0.873723, Average Loss  0.872458, Time  0.446028
2021-09-25 02:54:21.820810 : Epoch  3, Batch    284, Loss  0.863179, Average Loss  0.872441, Time  0.447791
2021-09-25 02:54:27.870526 : Epoch  3, Batch    285, Loss  0.876867, Average Loss  0.872499, Time  0.446549
2021-09-25 02:54:33.923795 : Epoch  3, Batch    286, Loss  0.868122, Average Loss  0.872510, Time  0.463023
2021-09-25 02:54:39.949860 : Epoch  3, Batch    287, Loss  0.886330, Average Loss  0.872542, Time  0.449297
2021-09-25 02:54:45.988625 : Epoch  3, Batch    288, Loss  0.862684, Average Loss  0.872635, Time  0.448188
2021-09-25 02:54:51.995487 : Epoch  3, Batch    289, Loss  0.884049, Average Loss  0.872640, Time  0.446529
2021-09-25 02:54:58.025054 : Epoch  3, Batch    290, Loss  0.858680, Average Loss  0.872551, Time  0.446612
2021-09-25 02:55:04.031756 : Epoch  3, Batch    291, Loss  0.871220, Average Loss  0.872561, Time  0.447069
2021-09-25 02:55:10.039532 : Epoch  3, Batch    292, Loss  0.872820, Average Loss  0.872518, Time  0.445779
2021-09-25 02:55:16.072926 : Epoch  3, Batch    293, Loss  0.885071, Average Loss  0.872630, Time  0.459781
2021-09-25 02:55:22.103706 : Epoch  3, Batch    294, Loss  0.873752, Average Loss  0.872661, Time  0.451034
2021-09-25 02:55:28.118685 : Epoch  3, Batch    295, Loss  0.864916, Average Loss  0.872657, Time  0.446854
2021-09-25 02:55:34.137526 : Epoch  3, Batch    296, Loss  0.856980, Average Loss  0.872566, Time  0.446623
2021-09-25 02:55:40.163307 : Epoch  3, Batch    297, Loss  0.881119, Average Loss  0.872625, Time  0.445905
2021-09-25 02:55:46.179491 : Epoch  3, Batch    298, Loss  0.854888, Average Loss  0.872597, Time  0.446895
2021-09-25 02:55:52.189225 : Epoch  3, Batch    299, Loss  0.877419, Average Loss  0.872612, Time  0.444910
2021-09-25 02:55:58.207968 : Epoch  3, Batch    300, Loss  0.865788, Average Loss  0.872483, Time  0.450535
2021-09-25 02:56:04.246600 : Epoch  3, Batch    301, Loss  0.871556, Average Loss  0.872450, Time  0.457508
2021-09-25 02:56:10.248398 : Epoch  3, Batch    302, Loss  0.874299, Average Loss  0.872459, Time  0.447597
2021-09-25 02:56:16.308297 : Epoch  3, Batch    303, Loss  0.872812, Average Loss  0.872450, Time  0.446431
2021-09-25 02:56:20.854024 : CheckPoint: Validation Loss  0.00015164, Best Loss  0.00014886
2021-09-25 02:56:22.355455 : Epoch  3, Batch    304, Loss  0.882636, Average Loss  0.872508, Time  0.454519
2021-09-25 02:56:27.006481 : Epoch  3, Batch    645, Loss  0.865839, Average Loss  0.870533, Time  0.451346
2021-09-25 02:56:28.388567 : Epoch  3, Batch    305, Loss  0.882261, Average Loss  0.872518, Time  0.447915
2021-09-25 02:56:33.145823 : Epoch  3, Batch    646, Loss  0.886704, Average Loss  0.870731, Time  0.451160
2021-09-25 02:56:34.423454 : Epoch  3, Batch    306, Loss  0.878000, Average Loss  0.872580, Time  0.447824
2021-09-25 02:56:39.314108 : Epoch  3, Batch    647, Loss  0.869535, Average Loss  0.870799, Time  0.449070
2021-09-25 02:56:40.438288 : Epoch  3, Batch    307, Loss  0.875089, Average Loss  0.872514, Time  0.445581
2021-09-25 02:56:45.460560 : Epoch  3, Batch    648, Loss  0.872571, Average Loss  0.870779, Time  0.448247
2021-09-25 02:56:46.480641 : Epoch  3, Batch    308, Loss  0.862731, Average Loss  0.872457, Time  0.461068
2021-09-25 02:56:51.587520 : Epoch  3, Batch    649, Loss  0.863377, Average Loss  0.870727, Time  0.447059
2021-09-25 02:56:52.494801 : Epoch  3, Batch    309, Loss  0.870950, Average Loss  0.872483, Time  0.449403
2021-09-25 02:56:57.754105 : Epoch  3, Batch    650, Loss  0.881614, Average Loss  0.870794, Time  0.454442
2021-09-25 02:56:58.519660 : Epoch  3, Batch    310, Loss  0.865434, Average Loss  0.872421, Time  0.449847
2021-09-25 02:57:03.891758 : Epoch  3, Batch    651, Loss  0.874917, Average Loss  0.870831, Time  0.447383
2021-09-25 02:57:04.538352 : Epoch  3, Batch    311, Loss  0.892062, Average Loss  0.872444, Time  0.447811
2021-09-25 02:57:10.020336 : Epoch  3, Batch    652, Loss  0.856989, Average Loss  0.870727, Time  0.451752
2021-09-25 02:57:10.555466 : Epoch  3, Batch    312, Loss  0.875436, Average Loss  0.872432, Time  0.445973
2021-09-25 02:57:16.163194 : Epoch  3, Batch    653, Loss  0.873653, Average Loss  0.870707, Time  0.446819
2021-09-25 02:57:16.581386 : Epoch  3, Batch    313, Loss  0.874068, Average Loss  0.872444, Time  0.448706
2021-09-25 02:57:22.277017 : Epoch  3, Batch    654, Loss  0.854915, Average Loss  0.870611, Time  0.446703
2021-09-25 02:57:22.602946 : Epoch  3, Batch    314, Loss  0.888023, Average Loss  0.872436, Time  0.447430
2021-09-25 02:57:28.406437 : Epoch  3, Batch    655, Loss  0.856193, Average Loss  0.870511, Time  0.445887
2021-09-25 02:57:28.621221 : Epoch  3, Batch    315, Loss  0.876440, Average Loss  0.872456, Time  0.446679
2021-09-25 02:57:34.536995 : Epoch  3, Batch    656, Loss  0.874739, Average Loss  0.870504, Time  0.448699
2021-09-25 02:57:34.654893 : Epoch  3, Batch    316, Loss  0.874333, Average Loss  0.872479, Time  0.459527
2021-09-25 02:57:40.669775 : Epoch  3, Batch    657, Loss  0.866623, Average Loss  0.870504, Time  0.457389
2021-09-25 02:57:40.709422 : Epoch  3, Batch    317, Loss  0.866695, Average Loss  0.872421, Time  0.445712
2021-09-25 02:57:46.720731 : Epoch  3, Batch    318, Loss  0.895832, Average Loss  0.872560, Time  0.448772
2021-09-25 02:57:46.797344 : Epoch  3, Batch    658, Loss  0.874683, Average Loss  0.870518, Time  0.447757
2021-09-25 02:57:52.744997 : Epoch  3, Batch    319, Loss  0.872420, Average Loss  0.872585, Time  0.446287
2021-09-25 02:57:52.942186 : Epoch  3, Batch    659, Loss  0.868985, Average Loss  0.870515, Time  0.446539
2021-09-25 02:57:58.768791 : Epoch  3, Batch    320, Loss  0.859883, Average Loss  0.872511, Time  0.446602
2021-09-25 02:57:59.059081 : Epoch  3, Batch    660, Loss  0.858377, Average Loss  0.870414, Time  0.446595
2021-09-25 02:58:04.793611 : Epoch  3, Batch    321, Loss  0.863992, Average Loss  0.872423, Time  0.445770
2021-09-25 02:58:05.196906 : Epoch  3, Batch    661, Loss  0.862883, Average Loss  0.870346, Time  0.446521
2021-09-25 02:58:10.798797 : Epoch  3, Batch    322, Loss  0.864238, Average Loss  0.872345, Time  0.446663
2021-09-25 02:58:11.324266 : Epoch  3, Batch    662, Loss  0.858070, Average Loss  0.870232, Time  0.446934
2021-09-25 02:58:15.248449 : Epoch  3, Batch    323, Loss  0.857867, Average Loss  0.872428, Time  0.348604
2021-09-25 02:58:17.438801 : Epoch  3, Batch    663, Loss  0.869991, Average Loss  0.870361, Time  0.447400
2021-09-25 02:58:21.274037 : Epoch  3, Batch    324, Loss  0.851639, Average Loss  0.872284, Time  0.459535
2021-09-25 02:58:23.561216 : Epoch  3, Batch    664, Loss  0.863299, Average Loss  0.870264, Time  0.448326
2021-09-25 02:58:27.294280 : Epoch  3, Batch    325, Loss  0.864787, Average Loss  0.872286, Time  0.445546
2021-09-25 02:58:29.709983 : Epoch  3, Batch    665, Loss  0.872193, Average Loss  0.870298, Time  0.461187
2021-09-25 02:58:33.308408 : Epoch  3, Batch    326, Loss  0.863111, Average Loss  0.872319, Time  0.446489
2021-09-25 02:58:35.862858 : Epoch  3, Batch    666, Loss  0.874965, Average Loss  0.870281, Time  0.446114
2021-09-25 02:58:39.348788 : Epoch  3, Batch    327, Loss  0.870069, Average Loss  0.872388, Time  0.445908
2021-09-25 02:58:41.995604 : Epoch  3, Batch    667, Loss  0.871894, Average Loss  0.870305, Time  0.449132
2021-09-25 02:58:45.371329 : Epoch  3, Batch    328, Loss  0.890227, Average Loss  0.872486, Time  0.445875
2021-09-25 02:58:48.132234 : Epoch  3, Batch    668, Loss  0.876117, Average Loss  0.870302, Time  0.446975
2021-09-25 02:58:51.403756 : Epoch  3, Batch    329, Loss  0.865686, Average Loss  0.872471, Time  0.446618
2021-09-25 02:58:54.267979 : Epoch  3, Batch    669, Loss  0.869582, Average Loss  0.870279, Time  0.445985
2021-09-25 02:58:57.422929 : Epoch  3, Batch    330, Loss  0.864503, Average Loss  0.872441, Time  0.445528
2021-09-25 02:59:00.391581 : Epoch  3, Batch    670, Loss  0.883707, Average Loss  0.870415, Time  0.447073
2021-09-25 02:59:03.446886 : Epoch  3, Batch    331, Loss  0.867370, Average Loss  0.872457, Time  0.453904
2021-09-25 02:59:06.510881 : Epoch  3, Batch    671, Loss  0.874206, Average Loss  0.870446, Time  0.448263
2021-09-25 02:59:09.477663 : Epoch  3, Batch    332, Loss  0.869002, Average Loss  0.872400, Time  0.447349
2021-09-25 02:59:12.680784 : Epoch  3, Batch    672, Loss  0.888865, Average Loss  0.870480, Time  0.462396
2021-09-25 02:59:15.519931 : Epoch  3, Batch    333, Loss  0.879053, Average Loss  0.872457, Time  0.445069
2021-09-25 02:59:18.809918 : Epoch  3, Batch    673, Loss  0.872894, Average Loss  0.870484, Time  0.450506
2021-09-25 02:59:21.554302 : Epoch  3, Batch    334, Loss  0.884053, Average Loss  0.872541, Time  0.446787
2021-09-25 02:59:24.950101 : Epoch  3, Batch    674, Loss  0.880928, Average Loss  0.870505, Time  0.455080
2021-09-25 02:59:27.590640 : Epoch  3, Batch    335, Loss  0.877768, Average Loss  0.872474, Time  0.448389
2021-09-25 02:59:31.085854 : Epoch  3, Batch    675, Loss  0.875225, Average Loss  0.870535, Time  0.445543
2021-09-25 02:59:33.612035 : Epoch  3, Batch    336, Loss  0.853964, Average Loss  0.872392, Time  0.447465
2021-09-25 02:59:37.204122 : Epoch  3, Batch    676, Loss  0.854036, Average Loss  0.870454, Time  0.449108
2021-09-25 02:59:39.624809 : Epoch  3, Batch    337, Loss  0.864768, Average Loss  0.872327, Time  0.446914
2021-09-25 02:59:43.347770 : Epoch  3, Batch    677, Loss  0.887614, Average Loss  0.870586, Time  0.452276
2021-09-25 02:59:45.651858 : Epoch  3, Batch    338, Loss  0.886302, Average Loss  0.872446, Time  0.445954
2021-09-25 02:59:49.504221 : Epoch  3, Batch    678, Loss  0.883576, Average Loss  0.870671, Time  0.448054
2021-09-25 02:59:51.689087 : Epoch  3, Batch    339, Loss  0.873966, Average Loss  0.872498, Time  0.457662
2021-09-25 02:59:55.645419 : Epoch  3, Batch    679, Loss  0.892307, Average Loss  0.870801, Time  0.448690
2021-09-25 02:59:57.709117 : Epoch  3, Batch    340, Loss  0.882693, Average Loss  0.872561, Time  0.446344
2021-09-25 03:00:01.804895 : Epoch  3, Batch    680, Loss  0.881773, Average Loss  0.870834, Time  0.465222
2021-09-25 03:00:03.728915 : Epoch  3, Batch    341, Loss  0.870488, Average Loss  0.872533, Time  0.445341
2021-09-25 03:00:07.938367 : Epoch  3, Batch    681, Loss  0.858779, Average Loss  0.870733, Time  0.454284
2021-09-25 03:00:09.744460 : Epoch  3, Batch    342, Loss  0.883866, Average Loss  0.872568, Time  0.445874
2021-09-25 03:00:14.069679 : Epoch  3, Batch    682, Loss  0.870333, Average Loss  0.870768, Time  0.449223
2021-09-25 03:00:15.762054 : Epoch  3, Batch    343, Loss  0.867304, Average Loss  0.872525, Time  0.451644
2021-09-25 03:00:20.195579 : Epoch  3, Batch    683, Loss  0.885785, Average Loss  0.870840, Time  0.448449
2021-09-25 03:00:21.781007 : Epoch  3, Batch    344, Loss  0.873139, Average Loss  0.872472, Time  0.447765
2021-09-25 03:00:26.340566 : Epoch  3, Batch    684, Loss  0.874996, Average Loss  0.870802, Time  0.448493
2021-09-25 03:00:32.497043 : Epoch  3, Batch    685, Loss  0.864903, Average Loss  0.870738, Time  0.446180
2021-09-25 03:00:38.621833 : Epoch  3, Batch    686, Loss  0.875502, Average Loss  0.870740, Time  0.447697
2021-09-25 03:00:44.768809 : Epoch  3, Batch    687, Loss  0.882398, Average Loss  0.870865, Time  0.460733
2021-09-25 03:00:50.919022 : Epoch  3, Batch    688, Loss  0.868348, Average Loss  0.870843, Time  0.447593
2021-09-25 03:00:57.039467 : Epoch  3, Batch    689, Loss  0.873121, Average Loss  0.870827, Time  0.451421
2021-09-25 03:01:03.161665 : Epoch  3, Batch    690, Loss  0.884232, Average Loss  0.870899, Time  0.446076
2021-09-25 03:01:09.296082 : Epoch  3, Batch    691, Loss  0.874568, Average Loss  0.870962, Time  0.449649
2021-09-25 03:01:15.467938 : Epoch  3, Batch    692, Loss  0.876922, Average Loss  0.871000, Time  0.449325
2021-09-25 03:01:21.628054 : Epoch  3, Batch    693, Loss  0.862320, Average Loss  0.870993, Time  0.449677
2021-09-25 03:01:27.772210 : Epoch  3, Batch    694, Loss  0.869597, Average Loss  0.871034, Time  0.448102
2021-09-25 03:01:33.907520 : Epoch  3, Batch    695, Loss  0.860683, Average Loss  0.870948, Time  0.459131
2021-09-25 03:01:40.030829 : Epoch  3, Batch    696, Loss  0.864057, Average Loss  0.870869, Time  0.449525
2021-09-25 03:01:46.160989 : Epoch  3, Batch    697, Loss  0.872878, Average Loss  0.870897, Time  0.446703
2021-09-25 03:01:52.283510 : Epoch  3, Batch    698, Loss  0.871568, Average Loss  0.870819, Time  0.446624
2021-09-25 03:01:58.394411 : Epoch  3, Batch    699, Loss  0.863942, Average Loss  0.870744, Time  0.446100
2021-09-25 03:02:04.517528 : Epoch  3, Batch    700, Loss  0.876971, Average Loss  0.870764, Time  0.445976
2021-09-25 03:02:10.638440 : Epoch  3, Batch    701, Loss  0.868924, Average Loss  0.870687, Time  0.446138
2021-09-25 03:02:16.807004 : Epoch  3, Batch    702, Loss  0.874641, Average Loss  0.870705, Time  0.463641
2021-09-25 03:02:22.941097 : Epoch  3, Batch    703, Loss  0.875414, Average Loss  0.870689, Time  0.450695
2021-09-25 03:02:29.056369 : Epoch  3, Batch    704, Loss  0.866737, Average Loss  0.870606, Time  0.446834
2021-09-25 03:02:35.167933 : Epoch  3, Batch    705, Loss  0.878349, Average Loss  0.870574, Time  0.446579
2021-09-25 03:02:41.288832 : Epoch  3, Batch    706, Loss  0.866460, Average Loss  0.870607, Time  0.446083
2021-09-25 03:02:47.412599 : Epoch  3, Batch    707, Loss  0.869903, Average Loss  0.870567, Time  0.446818
2021-09-25 03:02:53.537811 : Epoch  3, Batch    708, Loss  0.873286, Average Loss  0.870592, Time  0.445767
2021-09-25 03:02:59.662498 : Epoch  3, Batch    709, Loss  0.882234, Average Loss  0.870630, Time  0.449283
2021-09-25 03:03:05.803571 : Epoch  3, Batch    710, Loss  0.864100, Average Loss  0.870615, Time  0.463432
2021-09-25 03:03:11.921692 : Epoch  3, Batch    711, Loss  0.852445, Average Loss  0.870501, Time  0.447143
2021-09-25 03:03:18.056761 : Epoch  3, Batch    712, Loss  0.887095, Average Loss  0.870588, Time  0.448537
2021-09-25 03:03:24.199023 : Epoch  3, Batch    713, Loss  0.873191, Average Loss  0.870585, Time  0.446418
2021-09-25 03:03:30.328030 : Epoch  3, Batch    714, Loss  0.853631, Average Loss  0.870532, Time  0.447072
2021-09-25 03:03:36.460417 : Epoch  3, Batch    715, Loss  0.865582, Average Loss  0.870452, Time  0.448611
2021-09-25 03:03:42.587657 : Epoch  3, Batch    716, Loss  0.859463, Average Loss  0.870364, Time  0.445614
2021-09-25 03:03:48.700767 : Epoch  3, Batch    717, Loss  0.862765, Average Loss  0.870346, Time  0.451673
2021-09-25 03:03:54.827876 : Epoch  3, Batch    718, Loss  0.873830, Average Loss  0.870391, Time  0.448898
2021-09-25 03:04:00.948789 : Epoch  3, Batch    719, Loss  0.871220, Average Loss  0.870442, Time  0.447871
2021-09-25 03:04:07.066389 : Epoch  3, Batch    720, Loss  0.878237, Average Loss  0.870473, Time  0.446047
2021-09-25 03:04:13.241708 : Epoch  3, Batch    721, Loss  0.865759, Average Loss  0.870410, Time  0.477294
2021-09-25 03:04:19.387044 : Epoch  3, Batch    722, Loss  0.881281, Average Loss  0.870344, Time  0.449470
2021-09-25 03:04:25.510877 : Epoch  3, Batch    723, Loss  0.858689, Average Loss  0.870274, Time  0.447877
2021-09-25 03:04:31.638816 : Epoch  3, Batch    724, Loss  0.874503, Average Loss  0.870338, Time  0.446532
2021-09-25 03:04:37.786679 : Epoch  3, Batch    725, Loss  0.875558, Average Loss  0.870389, Time  0.458207
2021-09-25 03:04:43.935129 : Epoch  3, Batch    726, Loss  0.867572, Average Loss  0.870428, Time  0.449110
2021-09-25 03:04:50.073499 : Epoch  3, Batch    727, Loss  0.883146, Average Loss  0.870456, Time  0.447340
2021-09-25 03:04:56.203139 : Epoch  3, Batch    728, Loss  0.875511, Average Loss  0.870485, Time  0.445900
2021-09-25 03:05:02.324373 : Epoch  3, Batch    729, Loss  0.884228, Average Loss  0.870584, Time  0.446019
2021-09-25 03:05:08.456813 : Epoch  3, Batch    730, Loss  0.867219, Average Loss  0.870635, Time  0.445867
2021-09-25 03:05:08.762402 : CheckPoint: Validation Loss  0.00015288, Best Loss  0.00014852
2021-09-25 03:05:14.565614 : Epoch  3, Batch    731, Loss  0.873281, Average Loss  0.870637, Time  0.445717
2021-09-25 03:05:14.797852 : Epoch  3, Batch    345, Loss  0.865015, Average Loss  0.872403, Time  0.456664
2021-09-25 03:05:20.722340 : Epoch  3, Batch    732, Loss  0.879658, Average Loss  0.870604, Time  0.460905
2021-09-25 03:05:20.825900 : Epoch  3, Batch    346, Loss  0.861445, Average Loss  0.872456, Time  0.445690
2021-09-25 03:05:26.841730 : Epoch  3, Batch    347, Loss  0.875966, Average Loss  0.872416, Time  0.445671
2021-09-25 03:05:26.876605 : Epoch  3, Batch    733, Loss  0.870098, Average Loss  0.870585, Time  0.450391
2021-09-25 03:05:32.850403 : Epoch  3, Batch    348, Loss  0.875746, Average Loss  0.872379, Time  0.446159
2021-09-25 03:05:32.979418 : Epoch  3, Batch    734, Loss  0.872586, Average Loss  0.870619, Time  0.446827
2021-09-25 03:05:38.867711 : Epoch  3, Batch    349, Loss  0.859358, Average Loss  0.872392, Time  0.448313
2021-09-25 03:05:39.118847 : Epoch  3, Batch    735, Loss  0.883358, Average Loss  0.870714, Time  0.446661
2021-09-25 03:05:44.886709 : Epoch  3, Batch    350, Loss  0.877260, Average Loss  0.872365, Time  0.446378
2021-09-25 03:05:45.251647 : Epoch  3, Batch    736, Loss  0.875356, Average Loss  0.870758, Time  0.446242
2021-09-25 03:05:50.910279 : Epoch  3, Batch    351, Loss  0.852946, Average Loss  0.872263, Time  0.445470
2021-09-25 03:05:51.386400 : Epoch  3, Batch    737, Loss  0.874111, Average Loss  0.870740, Time  0.445996
2021-09-25 03:05:56.954420 : Epoch  3, Batch    352, Loss  0.888012, Average Loss  0.872334, Time  0.461116
2021-09-25 03:05:57.523054 : Epoch  3, Batch    738, Loss  0.865778, Average Loss  0.870636, Time  0.455534
2021-09-25 03:06:02.966866 : Epoch  3, Batch    353, Loss  0.874693, Average Loss  0.872340, Time  0.446928
2021-09-25 03:06:03.646840 : Epoch  3, Batch    739, Loss  0.846627, Average Loss  0.870448, Time  0.445670
2021-09-25 03:06:08.980005 : Epoch  3, Batch    354, Loss  0.867399, Average Loss  0.872307, Time  0.447251
2021-09-25 03:06:09.771690 : Epoch  3, Batch    740, Loss  0.878794, Average Loss  0.870581, Time  0.455531
2021-09-25 03:06:15.005962 : Epoch  3, Batch    355, Loss  0.860987, Average Loss  0.872224, Time  0.451287
2021-09-25 03:06:15.905218 : Epoch  3, Batch    741, Loss  0.867872, Average Loss  0.870561, Time  0.451000
2021-09-25 03:06:21.037869 : Epoch  3, Batch    356, Loss  0.881457, Average Loss  0.872245, Time  0.445660
2021-09-25 03:06:22.064728 : Epoch  3, Batch    742, Loss  0.881387, Average Loss  0.870642, Time  0.458665
2021-09-25 03:06:27.044600 : Epoch  3, Batch    357, Loss  0.859767, Average Loss  0.872120, Time  0.448267
2021-09-25 03:06:28.190363 : Epoch  3, Batch    743, Loss  0.864945, Average Loss  0.870604, Time  0.448150
2021-09-25 03:06:33.070617 : Epoch  3, Batch    358, Loss  0.883799, Average Loss  0.872174, Time  0.445721
2021-09-25 03:06:34.360520 : Epoch  3, Batch    744, Loss  0.880724, Average Loss  0.870597, Time  0.449498
2021-09-25 03:06:39.112843 : Epoch  3, Batch    359, Loss  0.867780, Average Loss  0.872229, Time  0.447879
2021-09-25 03:06:45.163001 : Epoch  3, Batch    360, Loss  0.874216, Average Loss  0.872199, Time  0.455327
2021-09-25 03:06:51.174484 : Epoch  3, Batch    361, Loss  0.876462, Average Loss  0.872186, Time  0.446130
2021-09-25 03:06:57.210461 : Epoch  3, Batch    362, Loss  0.888678, Average Loss  0.872283, Time  0.445513
2021-09-25 03:07:03.240354 : Epoch  3, Batch    363, Loss  0.868230, Average Loss  0.872363, Time  0.447203
2021-09-25 03:07:09.268098 : Epoch  3, Batch    364, Loss  0.880012, Average Loss  0.872346, Time  0.447629
2021-09-25 03:07:15.284329 : Epoch  3, Batch    365, Loss  0.871617, Average Loss  0.872354, Time  0.446131
2021-09-25 03:07:21.317601 : Epoch  3, Batch    366, Loss  0.866766, Average Loss  0.872393, Time  0.447694
2021-09-25 03:07:27.387729 : Epoch  3, Batch    367, Loss  0.878795, Average Loss  0.872427, Time  0.445012
2021-09-25 03:07:33.411829 : Epoch  3, Batch    368, Loss  0.879066, Average Loss  0.872446, Time  0.459000
2021-09-25 03:07:39.445749 : Epoch  3, Batch    369, Loss  0.845151, Average Loss  0.872323, Time  0.446948
2021-09-25 03:07:45.466844 : Epoch  3, Batch    370, Loss  0.869565, Average Loss  0.872305, Time  0.449064
2021-09-25 03:07:51.465807 : Epoch  3, Batch    371, Loss  0.878959, Average Loss  0.872299, Time  0.446080
2021-09-25 03:07:57.502023 : Epoch  3, Batch    372, Loss  0.877878, Average Loss  0.872326, Time  0.449779
2021-09-25 03:08:03.533521 : Epoch  3, Batch    373, Loss  0.876331, Average Loss  0.872437, Time  0.447446
2021-09-25 03:08:09.561903 : Epoch  3, Batch    374, Loss  0.880186, Average Loss  0.872512, Time  0.448905
2021-09-25 03:08:15.604690 : Epoch  3, Batch    375, Loss  0.881104, Average Loss  0.872659, Time  0.454650
2021-09-25 03:08:21.644244 : Epoch  3, Batch    376, Loss  0.853815, Average Loss  0.872555, Time  0.446454
2021-09-25 03:08:27.673786 : Epoch  3, Batch    377, Loss  0.860112, Average Loss  0.872494, Time  0.445369
2021-09-25 03:08:33.698673 : Epoch  3, Batch    378, Loss  0.869646, Average Loss  0.872501, Time  0.450090
2021-09-25 03:08:39.717951 : Epoch  3, Batch    379, Loss  0.864920, Average Loss  0.872488, Time  0.445989
2021-09-25 03:08:45.733903 : Epoch  3, Batch    380, Loss  0.875435, Average Loss  0.872527, Time  0.449302
2021-09-25 03:08:51.743071 : Epoch  3, Batch    381, Loss  0.883105, Average Loss  0.872593, Time  0.445982
2021-09-25 03:08:57.790727 : Epoch  3, Batch    382, Loss  0.880297, Average Loss  0.872581, Time  0.448099
2021-09-25 03:09:03.831030 : Epoch  3, Batch    383, Loss  0.873015, Average Loss  0.872512, Time  0.459203
2021-09-25 03:09:09.851895 : Epoch  3, Batch    384, Loss  0.865799, Average Loss  0.872443, Time  0.448930
2021-09-25 03:09:15.878981 : Epoch  3, Batch    385, Loss  0.878922, Average Loss  0.872488, Time  0.446229
2021-09-25 03:09:21.946036 : Epoch  3, Batch    386, Loss  0.874143, Average Loss  0.872441, Time  0.449439
2021-09-25 03:09:27.985944 : Epoch  3, Batch    387, Loss  0.881298, Average Loss  0.872460, Time  0.448828
2021-09-25 03:09:34.055269 : Epoch  3, Batch    388, Loss  0.868546, Average Loss  0.872457, Time  0.451868
2021-09-25 03:09:40.088412 : Epoch  3, Batch    389, Loss  0.877022, Average Loss  0.872504, Time  0.448487
2021-09-25 03:09:46.121028 : Epoch  3, Batch    390, Loss  0.873311, Average Loss  0.872477, Time  0.459667
2021-09-25 03:09:52.129696 : Epoch  3, Batch    391, Loss  0.864010, Average Loss  0.872405, Time  0.447610
2021-09-25 03:09:58.167811 : Epoch  3, Batch    392, Loss  0.871118, Average Loss  0.872372, Time  0.450887
2021-09-25 03:10:04.186781 : Epoch  3, Batch    393, Loss  0.877116, Average Loss  0.872460, Time  0.447681
2021-09-25 03:10:10.216494 : Epoch  3, Batch    394, Loss  0.878229, Average Loss  0.872443, Time  0.446445
2021-09-25 03:10:16.230174 : Epoch  3, Batch    395, Loss  0.870854, Average Loss  0.872393, Time  0.445422
2021-09-25 03:10:22.257620 : Epoch  3, Batch    396, Loss  0.851025, Average Loss  0.872268, Time  0.445782
2021-09-25 03:10:28.282741 : Epoch  3, Batch    397, Loss  0.869276, Average Loss  0.872218, Time  0.446628
2021-09-25 03:10:34.315993 : Epoch  3, Batch    398, Loss  0.854196, Average Loss  0.872127, Time  0.453224
2021-09-25 03:10:40.351974 : Epoch  3, Batch    399, Loss  0.862042, Average Loss  0.872053, Time  0.450812
2021-09-25 03:10:46.373929 : Epoch  3, Batch    400, Loss  0.865972, Average Loss  0.871965, Time  0.447634
2021-09-25 03:10:52.401813 : Epoch  3, Batch    401, Loss  0.865261, Average Loss  0.871961, Time  0.445381
2021-09-25 03:10:58.419682 : Epoch  3, Batch    402, Loss  0.873325, Average Loss  0.871986, Time  0.447183
2021-09-25 03:11:04.440819 : Epoch  3, Batch    403, Loss  0.874856, Average Loss  0.872020, Time  0.445508
2021-09-25 03:11:10.469533 : Epoch  3, Batch    404, Loss  0.879163, Average Loss  0.872091, Time  0.446116
2021-09-25 03:11:16.508482 : Epoch  3, Batch    405, Loss  0.863941, Average Loss  0.872076, Time  0.458840
2021-09-25 03:11:22.541827 : Epoch  3, Batch    406, Loss  0.873497, Average Loss  0.872054, Time  0.446215
2021-09-25 03:11:24.611159 : CheckPoint: Validation Loss  0.00015145, Best Loss  0.00014886
2021-09-25 03:11:28.569930 : Epoch  3, Batch    407, Loss  0.864369, Average Loss  0.872042, Time  0.449725
2021-09-25 03:11:30.735444 : Epoch  3, Batch    745, Loss  0.867727, Average Loss  0.870630, Time  0.461213
2021-09-25 03:11:34.603781 : Epoch  3, Batch    408, Loss  0.858337, Average Loss  0.871986, Time  0.446891
2021-09-25 03:11:36.917113 : Epoch  3, Batch    746, Loss  0.872266, Average Loss  0.870666, Time  0.447700
2021-09-25 03:11:40.646923 : Epoch  3, Batch    409, Loss  0.875157, Average Loss  0.871977, Time  0.449433
2021-09-25 03:11:43.102129 : Epoch  3, Batch    747, Loss  0.858859, Average Loss  0.870599, Time  0.449615
2021-09-25 03:11:46.671133 : Epoch  3, Batch    410, Loss  0.884668, Average Loss  0.872025, Time  0.446266
2021-09-25 03:11:49.277979 : Epoch  3, Batch    748, Loss  0.886246, Average Loss  0.870713, Time  0.448552
2021-09-25 03:11:52.703885 : Epoch  3, Batch    411, Loss  0.874618, Average Loss  0.872071, Time  0.446261
2021-09-25 03:11:55.449894 : Epoch  3, Batch    749, Loss  0.865146, Average Loss  0.870629, Time  0.447731
2021-09-25 03:11:58.730193 : Epoch  3, Batch    412, Loss  0.866073, Average Loss  0.872025, Time  0.447378
2021-09-25 03:12:01.607028 : Epoch  3, Batch    750, Loss  0.864644, Average Loss  0.870599, Time  0.449629
2021-09-25 03:12:04.765468 : Epoch  3, Batch    413, Loss  0.869155, Average Loss  0.872101, Time  0.461827
2021-09-25 03:12:07.780635 : Epoch  3, Batch    751, Loss  0.870610, Average Loss  0.870604, Time  0.449986
2021-09-25 03:12:10.789322 : Epoch  3, Batch    414, Loss  0.860296, Average Loss  0.871911, Time  0.445274
2021-09-25 03:12:13.949421 : Epoch  3, Batch    752, Loss  0.880212, Average Loss  0.870590, Time  0.464223
2021-09-25 03:12:16.801674 : Epoch  3, Batch    415, Loss  0.868352, Average Loss  0.871868, Time  0.445805
2021-09-25 03:12:20.113498 : Epoch  3, Batch    753, Loss  0.881350, Average Loss  0.870612, Time  0.447055
2021-09-25 03:12:22.810686 : Epoch  3, Batch    416, Loss  0.872404, Average Loss  0.871853, Time  0.445601
2021-09-25 03:12:26.291821 : Epoch  3, Batch    754, Loss  0.882774, Average Loss  0.870656, Time  0.448079
2021-09-25 03:12:28.835325 : Epoch  3, Batch    417, Loss  0.871665, Average Loss  0.871831, Time  0.450979
2021-09-25 03:12:32.435394 : Epoch  3, Batch    755, Loss  0.892595, Average Loss  0.870789, Time  0.450745
2021-09-25 03:12:34.863818 : Epoch  3, Batch    418, Loss  0.861076, Average Loss  0.871833, Time  0.447602
2021-09-25 03:12:38.586987 : Epoch  3, Batch    756, Loss  0.873949, Average Loss  0.870766, Time  0.446011
2021-09-25 03:12:40.893089 : Epoch  3, Batch    419, Loss  0.864383, Average Loss  0.871783, Time  0.448946
2021-09-25 03:12:44.753686 : Epoch  3, Batch    757, Loss  0.866616, Average Loss  0.870724, Time  0.447869
2021-09-25 03:12:46.913373 : Epoch  3, Batch    420, Loss  0.879294, Average Loss  0.871810, Time  0.461882
2021-09-25 03:12:50.900446 : Epoch  3, Batch    758, Loss  0.860578, Average Loss  0.870647, Time  0.449419
2021-09-25 03:12:52.925076 : Epoch  3, Batch    421, Loss  0.870409, Average Loss  0.871813, Time  0.446791
2021-09-25 03:12:57.087920 : Epoch  3, Batch    759, Loss  0.873736, Average Loss  0.870647, Time  0.448962
2021-09-25 03:12:58.957589 : Epoch  3, Batch    422, Loss  0.881438, Average Loss  0.871844, Time  0.449625
2021-09-25 03:13:03.259754 : Epoch  3, Batch    760, Loss  0.868580, Average Loss  0.870575, Time  0.461933
2021-09-25 03:13:04.966627 : Epoch  3, Batch    423, Loss  0.878350, Average Loss  0.871759, Time  0.446182
2021-09-25 03:13:09.429201 : Epoch  3, Batch    761, Loss  0.877537, Average Loss  0.870715, Time  0.450200
2021-09-25 03:13:10.996448 : Epoch  3, Batch    424, Loss  0.862782, Average Loss  0.871664, Time  0.449123
2021-09-25 03:13:15.593789 : Epoch  3, Batch    762, Loss  0.866988, Average Loss  0.870762, Time  0.445387
2021-09-25 03:13:17.012862 : Epoch  3, Batch    425, Loss  0.877656, Average Loss  0.871704, Time  0.445623
2021-09-25 03:13:21.760192 : Epoch  3, Batch    763, Loss  0.874891, Average Loss  0.870809, Time  0.445656
2021-09-25 03:13:23.055903 : Epoch  3, Batch    426, Loss  0.869315, Average Loss  0.871690, Time  0.454213
2021-09-25 03:13:27.925315 : Epoch  3, Batch    764, Loss  0.881673, Average Loss  0.870967, Time  0.449652
2021-09-25 03:13:29.109320 : Epoch  3, Batch    427, Loss  0.866236, Average Loss  0.871624, Time  0.448512
2021-09-25 03:13:34.091969 : Epoch  3, Batch    765, Loss  0.865200, Average Loss  0.870924, Time  0.446544
2021-09-25 03:13:35.164001 : Epoch  3, Batch    428, Loss  0.876446, Average Loss  0.871630, Time  0.462342
2021-09-25 03:13:40.257427 : Epoch  3, Batch    766, Loss  0.879303, Average Loss  0.870944, Time  0.446308
2021-09-25 03:13:41.211061 : Epoch  3, Batch    429, Loss  0.861350, Average Loss  0.871547, Time  0.449879
2021-09-25 03:13:46.418666 : Epoch  3, Batch    767, Loss  0.866301, Average Loss  0.871008, Time  0.460824
2021-09-25 03:13:47.239218 : Epoch  3, Batch    430, Loss  0.872248, Average Loss  0.871546, Time  0.448562
2021-09-25 03:13:52.587015 : Epoch  3, Batch    768, Loss  0.878181, Average Loss  0.871046, Time  0.446412
2021-09-25 03:13:53.256234 : Epoch  3, Batch    431, Loss  0.884512, Average Loss  0.871631, Time  0.445856
2021-09-25 03:13:58.732371 : Epoch  3, Batch    769, Loss  0.856759, Average Loss  0.871022, Time  0.445250
2021-09-25 03:13:59.283284 : Epoch  3, Batch    432, Loss  0.878053, Average Loss  0.871703, Time  0.447270
2021-09-25 03:14:04.901591 : Epoch  3, Batch    770, Loss  0.875408, Average Loss  0.871055, Time  0.449682
2021-09-25 03:14:05.320865 : Epoch  3, Batch    433, Loss  0.876545, Average Loss  0.871694, Time  0.448448
2021-09-25 03:14:11.105749 : Epoch  3, Batch    771, Loss  0.859095, Average Loss  0.870973, Time  0.450150
2021-09-25 03:14:11.352297 : Epoch  3, Batch    434, Loss  0.871361, Average Loss  0.871749, Time  0.445799
2021-09-25 03:14:17.285081 : Epoch  3, Batch    772, Loss  0.856269, Average Loss  0.870989, Time  0.446146
2021-09-25 03:14:17.389109 : Epoch  3, Batch    435, Loss  0.865747, Average Loss  0.871780, Time  0.459178
2021-09-25 03:14:23.408426 : Epoch  3, Batch    436, Loss  0.870389, Average Loss  0.871852, Time  0.445978
2021-09-25 03:14:23.469028 : Epoch  3, Batch    773, Loss  0.860617, Average Loss  0.870921, Time  0.451896
2021-09-25 03:14:29.418210 : Epoch  3, Batch    437, Loss  0.882676, Average Loss  0.871911, Time  0.445952
2021-09-25 03:14:29.622457 : Epoch  3, Batch    774, Loss  0.864716, Average Loss  0.870847, Time  0.448663
2021-09-25 03:14:35.465650 : Epoch  3, Batch    438, Loss  0.862776, Average Loss  0.871903, Time  0.452584
2021-09-25 03:14:35.811751 : Epoch  3, Batch    775, Loss  0.863416, Average Loss  0.870797, Time  0.458707
2021-09-25 03:14:41.507096 : Epoch  3, Batch    439, Loss  0.878099, Average Loss  0.871995, Time  0.453330
2021-09-25 03:14:42.046402 : Epoch  3, Batch    776, Loss  0.882186, Average Loss  0.870797, Time  0.455070
2021-09-25 03:14:47.529988 : Epoch  3, Batch    440, Loss  0.865140, Average Loss  0.871936, Time  0.449384
2021-09-25 03:14:48.199048 : Epoch  3, Batch    777, Loss  0.873260, Average Loss  0.870860, Time  0.448686
2021-09-25 03:14:53.563487 : Epoch  3, Batch    441, Loss  0.862841, Average Loss  0.871905, Time  0.446247
2021-09-25 03:14:54.352183 : Epoch  3, Batch    778, Loss  0.862696, Average Loss  0.870818, Time  0.446840
2021-09-25 03:14:59.581079 : Epoch  3, Batch    442, Loss  0.863120, Average Loss  0.871820, Time  0.447356
2021-09-25 03:15:00.510369 : Epoch  3, Batch    779, Loss  0.868640, Average Loss  0.870858, Time  0.449058
2021-09-25 03:15:05.608713 : Epoch  3, Batch    443, Loss  0.868480, Average Loss  0.871867, Time  0.461709
2021-09-25 03:15:06.674258 : Epoch  3, Batch    780, Loss  0.871593, Average Loss  0.870793, Time  0.449347
2021-09-25 03:15:11.662859 : Epoch  3, Batch    444, Loss  0.870457, Average Loss  0.871847, Time  0.445552
2021-09-25 03:15:12.841739 : Epoch  3, Batch    781, Loss  0.854952, Average Loss  0.870749, Time  0.447548
2021-09-25 03:15:19.039302 : Epoch  3, Batch    782, Loss  0.879512, Average Loss  0.870756, Time  0.461994
2021-09-25 03:15:25.196859 : Epoch  3, Batch    783, Loss  0.866034, Average Loss  0.870778, Time  0.449435
2021-09-25 03:15:31.347281 : Epoch  3, Batch    784, Loss  0.871434, Average Loss  0.870813, Time  0.445964
2021-09-25 03:15:37.490381 : Epoch  3, Batch    785, Loss  0.883288, Average Loss  0.870869, Time  0.446215
2021-09-25 03:15:43.656220 : Epoch  3, Batch    786, Loss  0.857407, Average Loss  0.870842, Time  0.445719
2021-09-25 03:15:49.807974 : Epoch  3, Batch    787, Loss  0.879688, Average Loss  0.870870, Time  0.446125
2021-09-25 03:15:55.950280 : Epoch  3, Batch    788, Loss  0.868863, Average Loss  0.870859, Time  0.452130
2021-09-25 03:16:02.112881 : Epoch  3, Batch    789, Loss  0.875242, Average Loss  0.870923, Time  0.448317
2021-09-25 03:16:08.279340 : Epoch  3, Batch    790, Loss  0.856492, Average Loss  0.870802, Time  0.460979
2021-09-25 03:16:14.441314 : Epoch  3, Batch    791, Loss  0.879272, Average Loss  0.870824, Time  0.446849
2021-09-25 03:16:20.604577 : Epoch  3, Batch    792, Loss  0.871942, Average Loss  0.870814, Time  0.445343
2021-09-25 03:16:26.770546 : Epoch  3, Batch    793, Loss  0.874653, Average Loss  0.870871, Time  0.448327
2021-09-25 03:16:32.918884 : Epoch  3, Batch    794, Loss  0.874002, Average Loss  0.870942, Time  0.445855
2021-09-25 03:16:39.076373 : Epoch  3, Batch    795, Loss  0.869767, Average Loss  0.871045, Time  0.445988
2021-09-25 03:16:45.219789 : Epoch  3, Batch    796, Loss  0.868108, Average Loss  0.871099, Time  0.447115
2021-09-25 03:16:51.386692 : Epoch  3, Batch    797, Loss  0.872179, Average Loss  0.871134, Time  0.463380
2021-09-25 03:16:57.579707 : Epoch  3, Batch    798, Loss  0.867496, Average Loss  0.871159, Time  0.452920
2021-09-25 03:17:03.759308 : Epoch  3, Batch    799, Loss  0.881075, Average Loss  0.871203, Time  0.449122
2021-09-25 03:17:09.933119 : Epoch  3, Batch    800, Loss  0.880202, Average Loss  0.871305, Time  0.448699
2021-09-25 03:17:16.087741 : Epoch  3, Batch    801, Loss  0.877132, Average Loss  0.871326, Time  0.445858
2021-09-25 03:17:22.251444 : Epoch  3, Batch    802, Loss  0.876550, Average Loss  0.871371, Time  0.447033
2021-09-25 03:17:28.409625 : Epoch  3, Batch    803, Loss  0.880172, Average Loss  0.871393, Time  0.446971
2021-09-25 03:17:34.566981 : Epoch  3, Batch    804, Loss  0.883880, Average Loss  0.871502, Time  0.446682
2021-09-25 03:17:40.752796 : Epoch  3, Batch    805, Loss  0.881188, Average Loss  0.871552, Time  0.458112
2021-09-25 03:17:46.923448 : Epoch  3, Batch    806, Loss  0.902198, Average Loss  0.871705, Time  0.447607
2021-09-25 03:17:53.073056 : Epoch  3, Batch    807, Loss  0.895904, Average Loss  0.871801, Time  0.446935
2021-09-25 03:17:59.230862 : Epoch  3, Batch    808, Loss  0.871571, Average Loss  0.871836, Time  0.447446
2021-09-25 03:18:05.385487 : Epoch  3, Batch    809, Loss  0.855244, Average Loss  0.871768, Time  0.446774
2021-09-25 03:18:11.546682 : Epoch  3, Batch    810, Loss  0.875188, Average Loss  0.871792, Time  0.451122
2021-09-25 03:18:17.707701 : Epoch  3, Batch    811, Loss  0.869124, Average Loss  0.871773, Time  0.446128
2021-09-25 03:18:23.880135 : Epoch  3, Batch    812, Loss  0.874698, Average Loss  0.871820, Time  0.460267
2021-09-25 03:18:30.047891 : Epoch  3, Batch    813, Loss  0.852053, Average Loss  0.871744, Time  0.453749
2021-09-25 03:18:36.220965 : Epoch  3, Batch    814, Loss  0.869404, Average Loss  0.871715, Time  0.449890
2021-09-25 03:18:42.379577 : Epoch  3, Batch    815, Loss  0.878742, Average Loss  0.871753, Time  0.447212
2021-09-25 03:18:48.541304 : Epoch  3, Batch    816, Loss  0.867324, Average Loss  0.871745, Time  0.450872
2021-09-25 03:18:54.697924 : Epoch  3, Batch    817, Loss  0.851801, Average Loss  0.871700, Time  0.450097
2021-09-25 03:19:00.851861 : Epoch  3, Batch    818, Loss  0.869054, Average Loss  0.871710, Time  0.446732
2021-09-25 03:19:07.023914 : Epoch  3, Batch    819, Loss  0.874902, Average Loss  0.871739, Time  0.446450
2021-09-25 03:19:13.177032 : Epoch  3, Batch    820, Loss  0.852101, Average Loss  0.871595, Time  0.457103
2021-09-25 03:19:19.328076 : Epoch  3, Batch    821, Loss  0.884766, Average Loss  0.871697, Time  0.445932
2021-09-25 03:19:25.464750 : Epoch  3, Batch    822, Loss  0.890408, Average Loss  0.871762, Time  0.445697
2021-09-25 03:19:31.621445 : Epoch  3, Batch    823, Loss  0.881305, Average Loss  0.871800, Time  0.446508
2021-09-25 03:19:37.803652 : Epoch  3, Batch    824, Loss  0.872690, Average Loss  0.871859, Time  0.448165
2021-09-25 03:19:43.971465 : Epoch  3, Batch    825, Loss  0.868245, Average Loss  0.871822, Time  0.446730
2021-09-25 03:19:50.123679 : Epoch  3, Batch    826, Loss  0.862055, Average Loss  0.871764, Time  0.447017
2021-09-25 03:19:56.322970 : Epoch  3, Batch    827, Loss  0.870516, Average Loss  0.871764, Time  0.461107
2021-09-25 03:19:59.075892 : CheckPoint: Validation Loss  0.00015322, Best Loss  0.00014852
2021-09-25 03:20:02.494605 : Epoch  3, Batch    828, Loss  0.885643, Average Loss  0.871789, Time  0.449095
2021-09-25 03:20:05.110060 : Epoch  3, Batch    445, Loss  0.869007, Average Loss  0.871845, Time  0.447628
2021-09-25 03:20:08.669259 : Epoch  3, Batch    829, Loss  0.866859, Average Loss  0.871755, Time  0.449328
2021-09-25 03:20:11.145990 : Epoch  3, Batch    446, Loss  0.877301, Average Loss  0.871850, Time  0.447014
2021-09-25 03:20:14.842535 : Epoch  3, Batch    830, Loss  0.868223, Average Loss  0.871746, Time  0.446070
2021-09-25 03:20:17.205872 : Epoch  3, Batch    447, Loss  0.868184, Average Loss  0.871858, Time  0.448513
2021-09-25 03:20:20.997893 : Epoch  3, Batch    831, Loss  0.864704, Average Loss  0.871653, Time  0.450259
2021-09-25 03:20:23.263963 : Epoch  3, Batch    448, Loss  0.886339, Average Loss  0.871886, Time  0.461447
2021-09-25 03:20:27.167898 : Epoch  3, Batch    832, Loss  0.866876, Average Loss  0.871600, Time  0.448775
2021-09-25 03:20:29.316524 : Epoch  3, Batch    449, Loss  0.886233, Average Loss  0.871917, Time  0.448560
2021-09-25 03:20:33.324407 : Epoch  3, Batch    833, Loss  0.869008, Average Loss  0.871657, Time  0.447510
2021-09-25 03:20:35.337641 : Epoch  3, Batch    450, Loss  0.875962, Average Loss  0.871897, Time  0.445553
2021-09-25 03:20:39.484198 : Epoch  3, Batch    834, Loss  0.881687, Average Loss  0.871705, Time  0.449498
2021-09-25 03:20:41.361243 : Epoch  3, Batch    451, Loss  0.881909, Average Loss  0.871927, Time  0.444775
2021-09-25 03:20:45.643029 : Epoch  3, Batch    835, Loss  0.868287, Average Loss  0.871639, Time  0.453395
2021-09-25 03:20:47.391386 : Epoch  3, Batch    452, Loss  0.862384, Average Loss  0.871850, Time  0.448912
2021-09-25 03:20:51.800158 : Epoch  3, Batch    836, Loss  0.864506, Average Loss  0.871609, Time  0.446140
2021-09-25 03:20:53.414046 : Epoch  3, Batch    453, Loss  0.873474, Average Loss  0.871839, Time  0.446403
2021-09-25 03:20:57.951026 : Epoch  3, Batch    837, Loss  0.886113, Average Loss  0.871748, Time  0.446543
2021-09-25 03:20:59.437504 : Epoch  3, Batch    454, Loss  0.873467, Average Loss  0.871818, Time  0.445364
2021-09-25 03:21:04.112994 : Epoch  3, Batch    838, Loss  0.869315, Average Loss  0.871754, Time  0.450878
2021-09-25 03:21:05.461798 : Epoch  3, Batch    455, Loss  0.879315, Average Loss  0.871839, Time  0.446775
2021-09-25 03:21:10.283044 : Epoch  3, Batch    839, Loss  0.863014, Average Loss  0.871712, Time  0.447258
2021-09-25 03:21:11.495702 : Epoch  3, Batch    456, Loss  0.884798, Average Loss  0.871920, Time  0.454618
2021-09-25 03:21:16.442936 : Epoch  3, Batch    840, Loss  0.860970, Average Loss  0.871696, Time  0.446795
2021-09-25 03:21:17.492796 : Epoch  3, Batch    457, Loss  0.868482, Average Loss  0.871913, Time  0.446162
2021-09-25 03:21:22.594530 : Epoch  3, Batch    841, Loss  0.867665, Average Loss  0.871650, Time  0.448081
2021-09-25 03:21:23.526929 : Epoch  3, Batch    458, Loss  0.879762, Average Loss  0.872045, Time  0.448313
2021-09-25 03:21:28.751910 : Epoch  3, Batch    842, Loss  0.878746, Average Loss  0.871687, Time  0.454181
2021-09-25 03:21:29.558938 : Epoch  3, Batch    459, Loss  0.863828, Average Loss  0.871943, Time  0.451081
2021-09-25 03:21:34.908331 : Epoch  3, Batch    843, Loss  0.864924, Average Loss  0.871679, Time  0.448000
2021-09-25 03:21:35.600771 : Epoch  3, Batch    460, Loss  0.861683, Average Loss  0.871916, Time  0.446388
2021-09-25 03:21:41.062915 : Epoch  3, Batch    844, Loss  0.877511, Average Loss  0.871729, Time  0.446293
2021-09-25 03:21:41.628601 : Epoch  3, Batch    461, Loss  0.871502, Average Loss  0.871887, Time  0.446267
2021-09-25 03:21:47.708594 : Epoch  3, Batch    462, Loss  0.864814, Average Loss  0.871880, Time  0.451165
2021-09-25 03:21:53.757267 : Epoch  3, Batch    463, Loss  0.873723, Average Loss  0.871911, Time  0.461654
2021-09-25 03:21:59.794433 : Epoch  3, Batch    464, Loss  0.883297, Average Loss  0.871899, Time  0.449725
2021-09-25 03:22:05.814291 : Epoch  3, Batch    465, Loss  0.879372, Average Loss  0.871968, Time  0.445406
2021-09-25 03:22:11.849681 : Epoch  3, Batch    466, Loss  0.865168, Average Loss  0.871878, Time  0.445869
2021-09-25 03:22:17.874490 : Epoch  3, Batch    467, Loss  0.886166, Average Loss  0.871960, Time  0.447920
2021-09-25 03:22:23.889495 : Epoch  3, Batch    468, Loss  0.874037, Average Loss  0.871925, Time  0.447589
2021-09-25 03:22:29.911840 : Epoch  3, Batch    469, Loss  0.859330, Average Loss  0.871818, Time  0.446047
2021-09-25 03:22:35.919408 : Epoch  3, Batch    470, Loss  0.885881, Average Loss  0.871894, Time  0.444962
2021-09-25 03:22:41.926207 : Epoch  3, Batch    471, Loss  0.872831, Average Loss  0.871800, Time  0.451580
2021-09-25 03:22:47.943131 : Epoch  3, Batch    472, Loss  0.874753, Average Loss  0.871791, Time  0.448208
2021-09-25 03:22:53.969683 : Epoch  3, Batch    473, Loss  0.861021, Average Loss  0.871778, Time  0.449317
2021-09-25 03:22:59.980342 : Epoch  3, Batch    474, Loss  0.873204, Average Loss  0.871794, Time  0.447299
2021-09-25 03:23:06.015575 : Epoch  3, Batch    475, Loss  0.880250, Average Loss  0.871875, Time  0.445733
2021-09-25 03:23:12.043861 : Epoch  3, Batch    476, Loss  0.886561, Average Loss  0.871963, Time  0.445284
2021-09-25 03:23:18.053999 : Epoch  3, Batch    477, Loss  0.864208, Average Loss  0.871917, Time  0.446384
2021-09-25 03:23:24.088340 : Epoch  3, Batch    478, Loss  0.868891, Average Loss  0.871956, Time  0.461713
2021-09-25 03:23:30.093894 : Epoch  3, Batch    479, Loss  0.855764, Average Loss  0.871899, Time  0.447148
2021-09-25 03:23:36.127530 : Epoch  3, Batch    480, Loss  0.875853, Average Loss  0.871890, Time  0.449686
2021-09-25 03:23:42.166896 : Epoch  3, Batch    481, Loss  0.883315, Average Loss  0.871957, Time  0.447178
2021-09-25 03:23:48.215618 : Epoch  3, Batch    482, Loss  0.874336, Average Loss  0.871945, Time  0.451162
2021-09-25 03:23:54.245281 : Epoch  3, Batch    483, Loss  0.856971, Average Loss  0.871861, Time  0.447324
2021-09-25 03:24:00.275980 : Epoch  3, Batch    484, Loss  0.866336, Average Loss  0.871877, Time  0.445674
2021-09-25 03:24:06.313255 : Epoch  3, Batch    485, Loss  0.879051, Average Loss  0.871888, Time  0.448296
2021-09-25 03:24:12.379252 : Epoch  3, Batch    486, Loss  0.868099, Average Loss  0.871888, Time  0.463215
2021-09-25 03:24:18.412772 : Epoch  3, Batch    487, Loss  0.875059, Average Loss  0.871832, Time  0.448265
2021-09-25 03:24:24.419987 : Epoch  3, Batch    488, Loss  0.849445, Average Loss  0.871765, Time  0.446264
2021-09-25 03:24:30.424513 : Epoch  3, Batch    489, Loss  0.847567, Average Loss  0.871583, Time  0.445794
2021-09-25 03:24:36.438965 : Epoch  3, Batch    490, Loss  0.873784, Average Loss  0.871658, Time  0.448221
2021-09-25 03:24:42.453331 : Epoch  3, Batch    491, Loss  0.887138, Average Loss  0.871738, Time  0.447343
2021-09-25 03:24:48.507400 : Epoch  3, Batch    492, Loss  0.875158, Average Loss  0.871750, Time  0.448061
2021-09-25 03:24:54.573857 : Epoch  3, Batch    493, Loss  0.863209, Average Loss  0.871640, Time  0.464065
2021-09-25 03:25:00.619225 : Epoch  3, Batch    494, Loss  0.883320, Average Loss  0.871688, Time  0.448082
2021-09-25 03:25:06.643207 : Epoch  3, Batch    495, Loss  0.865806, Average Loss  0.871693, Time  0.446718
2021-09-25 03:25:12.685323 : Epoch  3, Batch    496, Loss  0.872131, Average Loss  0.871768, Time  0.445317
2021-09-25 03:25:18.718205 : Epoch  3, Batch    497, Loss  0.871255, Average Loss  0.871719, Time  0.448897
2021-09-25 03:25:24.745187 : Epoch  3, Batch    498, Loss  0.893813, Average Loss  0.871914, Time  0.448704
2021-09-25 03:25:30.769533 : Epoch  3, Batch    499, Loss  0.867530, Average Loss  0.871864, Time  0.449039
2021-09-25 03:25:36.788885 : Epoch  3, Batch    500, Loss  0.877114, Average Loss  0.871921, Time  0.446098
2021-09-25 03:25:42.842112 : Epoch  3, Batch    501, Loss  0.871286, Average Loss  0.871920, Time  0.460612
2021-09-25 03:25:48.876879 : Epoch  3, Batch    502, Loss  0.873227, Average Loss  0.871914, Time  0.446805
2021-09-25 03:25:54.918166 : Epoch  3, Batch    503, Loss  0.875520, Average Loss  0.871928, Time  0.454970
2021-09-25 03:26:00.965355 : Epoch  3, Batch    504, Loss  0.875949, Average Loss  0.871894, Time  0.448567
2021-09-25 03:26:07.001423 : Epoch  3, Batch    505, Loss  0.872975, Average Loss  0.871848, Time  0.450237
2021-09-25 03:26:13.048909 : Epoch  3, Batch    506, Loss  0.866184, Average Loss  0.871789, Time  0.447247
2021-09-25 03:26:19.075256 : Epoch  3, Batch    507, Loss  0.875967, Average Loss  0.871793, Time  0.447712
2021-09-25 03:26:25.137821 : Epoch  3, Batch    508, Loss  0.867926, Average Loss  0.871819, Time  0.461246
2021-09-25 03:26:30.822630 : CheckPoint: Validation Loss  0.00015248, Best Loss  0.00014886
2021-09-25 03:26:31.175947 : Epoch  3, Batch    509, Loss  0.868104, Average Loss  0.871805, Time  0.452676
2021-09-25 03:26:36.950061 : Epoch  3, Batch    845, Loss  0.890706, Average Loss  0.871853, Time  0.448338
2021-09-25 03:26:37.203935 : Epoch  3, Batch    510, Loss  0.880099, Average Loss  0.871878, Time  0.446797
2021-09-25 03:26:43.110166 : Epoch  3, Batch    846, Loss  0.874374, Average Loss  0.871792, Time  0.447214
2021-09-25 03:26:43.242866 : Epoch  3, Batch    511, Loss  0.886961, Average Loss  0.871853, Time  0.445794
2021-09-25 03:26:49.267114 : Epoch  3, Batch    512, Loss  0.876099, Average Loss  0.871856, Time  0.445575
2021-09-25 03:26:49.302097 : Epoch  3, Batch    847, Loss  0.867346, Average Loss  0.871781, Time  0.448074
2021-09-25 03:26:55.281784 : Epoch  3, Batch    513, Loss  0.877673, Average Loss  0.871874, Time  0.446141
2021-09-25 03:26:55.456814 : Epoch  3, Batch    848, Loss  0.864565, Average Loss  0.871741, Time  0.456347
2021-09-25 03:27:01.289039 : Epoch  3, Batch    514, Loss  0.879122, Average Loss  0.871830, Time  0.446003
2021-09-25 03:27:01.609867 : Epoch  3, Batch    849, Loss  0.877128, Average Loss  0.871809, Time  0.446135
2021-09-25 03:27:07.324540 : Epoch  3, Batch    515, Loss  0.889101, Average Loss  0.871893, Time  0.452755
2021-09-25 03:27:07.762474 : Epoch  3, Batch    850, Loss  0.886828, Average Loss  0.871835, Time  0.450383
2021-09-25 03:27:13.384711 : Epoch  3, Batch    516, Loss  0.868691, Average Loss  0.871865, Time  0.469036
2021-09-25 03:27:13.920114 : Epoch  3, Batch    851, Loss  0.891766, Average Loss  0.871920, Time  0.447516
2021-09-25 03:27:19.416414 : Epoch  3, Batch    517, Loss  0.857846, Average Loss  0.871820, Time  0.450737
2021-09-25 03:27:20.066883 : Epoch  3, Batch    852, Loss  0.888026, Average Loss  0.872075, Time  0.445882
2021-09-25 03:27:25.440001 : Epoch  3, Batch    518, Loss  0.872333, Average Loss  0.871703, Time  0.447875
2021-09-25 03:27:26.226732 : Epoch  3, Batch    853, Loss  0.861395, Average Loss  0.872014, Time  0.446701
2021-09-25 03:27:31.466611 : Epoch  3, Batch    519, Loss  0.856309, Average Loss  0.871622, Time  0.446492
2021-09-25 03:27:32.398627 : Epoch  3, Batch    854, Loss  0.877486, Average Loss  0.872126, Time  0.446316
2021-09-25 03:27:37.501052 : Epoch  3, Batch    520, Loss  0.874151, Average Loss  0.871694, Time  0.445356
2021-09-25 03:27:38.577043 : Epoch  3, Batch    855, Loss  0.873639, Average Loss  0.872214, Time  0.455788
2021-09-25 03:27:43.520451 : Epoch  3, Batch    521, Loss  0.878072, Average Loss  0.871764, Time  0.446285
2021-09-25 03:27:44.732826 : Epoch  3, Batch    856, Loss  0.864707, Average Loss  0.872164, Time  0.446530
2021-09-25 03:27:49.521887 : Epoch  3, Batch    522, Loss  0.870829, Average Loss  0.871797, Time  0.445570
2021-09-25 03:27:50.879129 : Epoch  3, Batch    857, Loss  0.864517, Average Loss  0.872153, Time  0.448470
2021-09-25 03:27:55.538480 : Epoch  3, Batch    523, Loss  0.885979, Average Loss  0.871938, Time  0.461103
2021-09-25 03:27:57.035676 : Epoch  3, Batch    858, Loss  0.879955, Average Loss  0.872179, Time  0.445848
2021-09-25 03:28:01.560659 : Epoch  3, Batch    524, Loss  0.860430, Average Loss  0.871982, Time  0.446198
2021-09-25 03:28:03.179178 : Epoch  3, Batch    859, Loss  0.880833, Average Loss  0.872239, Time  0.445209
2021-09-25 03:28:07.586313 : Epoch  3, Batch    525, Loss  0.881289, Average Loss  0.872064, Time  0.447949
2021-09-25 03:28:09.332368 : Epoch  3, Batch    860, Loss  0.857076, Average Loss  0.872232, Time  0.445744
2021-09-25 03:28:13.609157 : Epoch  3, Batch    526, Loss  0.878828, Average Loss  0.872143, Time  0.446037
2021-09-25 03:28:15.501876 : Epoch  3, Batch    861, Loss  0.870016, Average Loss  0.872268, Time  0.453758
2021-09-25 03:28:19.640037 : Epoch  3, Batch    527, Loss  0.879174, Average Loss  0.872188, Time  0.445824
2021-09-25 03:28:21.655837 : Epoch  3, Batch    862, Loss  0.873958, Average Loss  0.872347, Time  0.446597
2021-09-25 03:28:25.651790 : Epoch  3, Batch    528, Loss  0.879316, Average Loss  0.872134, Time  0.448026
2021-09-25 03:28:27.805304 : Epoch  3, Batch    863, Loss  0.880565, Average Loss  0.872400, Time  0.460654
2021-09-25 03:28:31.664830 : Epoch  3, Batch    529, Loss  0.859948, Average Loss  0.872105, Time  0.447008
2021-09-25 03:28:33.982932 : Epoch  3, Batch    864, Loss  0.870118, Average Loss  0.872434, Time  0.446496
2021-09-25 03:28:37.720992 : Epoch  3, Batch    530, Loss  0.875654, Average Loss  0.872161, Time  0.456296
2021-09-25 03:28:40.178465 : Epoch  3, Batch    865, Loss  0.879327, Average Loss  0.872470, Time  0.448243
2021-09-25 03:28:43.790558 : Epoch  3, Batch    531, Loss  0.874998, Average Loss  0.872199, Time  0.461744
2021-09-25 03:28:46.337148 : Epoch  3, Batch    866, Loss  0.855092, Average Loss  0.872370, Time  0.445623
2021-09-25 03:28:49.829468 : Epoch  3, Batch    532, Loss  0.872761, Average Loss  0.872218, Time  0.453299
2021-09-25 03:28:52.500644 : Epoch  3, Batch    867, Loss  0.879957, Average Loss  0.872411, Time  0.446088
2021-09-25 03:28:55.857061 : Epoch  3, Batch    533, Loss  0.874780, Average Loss  0.872196, Time  0.446775
2021-09-25 03:28:58.670197 : Epoch  3, Batch    868, Loss  0.863434, Average Loss  0.872347, Time  0.446063
2021-09-25 03:29:01.887882 : Epoch  3, Batch    534, Loss  0.857075, Average Loss  0.872061, Time  0.447702
2021-09-25 03:29:04.831963 : Epoch  3, Batch    869, Loss  0.866583, Average Loss  0.872332, Time  0.448031
2021-09-25 03:29:07.928193 : Epoch  3, Batch    535, Loss  0.873260, Average Loss  0.872039, Time  0.447903
2021-09-25 03:29:11.039243 : Epoch  3, Batch    870, Loss  0.862507, Average Loss  0.872226, Time  0.456971
2021-09-25 03:29:13.966499 : Epoch  3, Batch    536, Loss  0.879142, Average Loss  0.872165, Time  0.446131
2021-09-25 03:29:17.197808 : Epoch  3, Batch    871, Loss  0.882778, Average Loss  0.872269, Time  0.447784
2021-09-25 03:29:19.970320 : Epoch  3, Batch    537, Loss  0.867999, Average Loss  0.872181, Time  0.446436
2021-09-25 03:29:23.362798 : Epoch  3, Batch    872, Loss  0.858122, Average Loss  0.872115, Time  0.451742
2021-09-25 03:29:25.999547 : Epoch  3, Batch    538, Loss  0.851735, Average Loss  0.872008, Time  0.455689
2021-09-25 03:29:29.527841 : Epoch  3, Batch    873, Loss  0.866884, Average Loss  0.872085, Time  0.446788
2021-09-25 03:29:32.025304 : Epoch  3, Batch    539, Loss  0.882953, Average Loss  0.872053, Time  0.445822
2021-09-25 03:29:35.701011 : Epoch  3, Batch    874, Loss  0.878728, Average Loss  0.872074, Time  0.446419
2021-09-25 03:29:38.054177 : Epoch  3, Batch    540, Loss  0.873405, Average Loss  0.872007, Time  0.445283
2021-09-25 03:29:41.861426 : Epoch  3, Batch    875, Loss  0.880358, Average Loss  0.872100, Time  0.447107
2021-09-25 03:29:44.081272 : Epoch  3, Batch    541, Loss  0.866006, Average Loss  0.871984, Time  0.448663
2021-09-25 03:29:48.029988 : Epoch  3, Batch    876, Loss  0.872952, Average Loss  0.872195, Time  0.449641
2021-09-25 03:29:50.116911 : Epoch  3, Batch    542, Loss  0.870011, Average Loss  0.871915, Time  0.446943
2021-09-25 03:29:54.188288 : Epoch  3, Batch    877, Loss  0.882171, Average Loss  0.872167, Time  0.445734
2021-09-25 03:29:56.148110 : Epoch  3, Batch    543, Loss  0.877538, Average Loss  0.871966, Time  0.445975
2021-09-25 03:30:00.361835 : Epoch  3, Batch    878, Loss  0.862025, Average Loss  0.872060, Time  0.466994
2021-09-25 03:30:02.181981 : Epoch  3, Batch    544, Loss  0.872552, Average Loss  0.871963, Time  0.449167
2021-09-25 03:30:06.520103 : Epoch  3, Batch    879, Loss  0.863869, Average Loss  0.871918, Time  0.447094
2021-09-25 03:30:12.700306 : Epoch  3, Batch    880, Loss  0.891106, Average Loss  0.871964, Time  0.446578
2021-09-25 03:30:18.882770 : Epoch  3, Batch    881, Loss  0.875132, Average Loss  0.872046, Time  0.451310
2021-09-25 03:30:25.050118 : Epoch  3, Batch    882, Loss  0.869170, Average Loss  0.872040, Time  0.446929
2021-09-25 03:30:31.219779 : Epoch  3, Batch    883, Loss  0.864802, Average Loss  0.871935, Time  0.447449
2021-09-25 03:30:37.374687 : Epoch  3, Batch    884, Loss  0.871001, Average Loss  0.871915, Time  0.447014
2021-09-25 03:30:43.552709 : Epoch  3, Batch    885, Loss  0.874289, Average Loss  0.871962, Time  0.458040
2021-09-25 03:30:49.706803 : Epoch  3, Batch    886, Loss  0.877105, Average Loss  0.871970, Time  0.446430
2021-09-25 03:30:55.873219 : Epoch  3, Batch    887, Loss  0.885994, Average Loss  0.871988, Time  0.445323
2021-09-25 03:31:02.028236 : Epoch  3, Batch    888, Loss  0.871089, Average Loss  0.872002, Time  0.447706
2021-09-25 03:31:08.169671 : Epoch  3, Batch    889, Loss  0.877217, Average Loss  0.872022, Time  0.447987
2021-09-25 03:31:14.331918 : Epoch  3, Batch    890, Loss  0.867124, Average Loss  0.871937, Time  0.446294
2021-09-25 03:31:20.483044 : Epoch  3, Batch    891, Loss  0.868701, Average Loss  0.871907, Time  0.448301
2021-09-25 03:31:26.692839 : Epoch  3, Batch    892, Loss  0.887828, Average Loss  0.871962, Time  0.446459
2021-09-25 03:31:32.858507 : Epoch  3, Batch    893, Loss  0.860966, Average Loss  0.871955, Time  0.457526
2021-09-25 03:31:39.021662 : Epoch  3, Batch    894, Loss  0.866615, Average Loss  0.871940, Time  0.446080
2021-09-25 03:31:45.196006 : Epoch  3, Batch    895, Loss  0.867852, Average Loss  0.871976, Time  0.447050
2021-09-25 03:31:51.379170 : Epoch  3, Batch    896, Loss  0.872683, Average Loss  0.872019, Time  0.450255
2021-09-25 03:31:57.530825 : Epoch  3, Batch    897, Loss  0.882753, Average Loss  0.872069, Time  0.448126
2021-09-25 03:32:03.666673 : Epoch  3, Batch    898, Loss  0.860902, Average Loss  0.872015, Time  0.446516
2021-09-25 03:32:09.824166 : Epoch  3, Batch    899, Loss  0.878255, Average Loss  0.872087, Time  0.448956
2021-09-25 03:32:15.988962 : Epoch  3, Batch    900, Loss  0.863067, Average Loss  0.872017, Time  0.457838
2021-09-25 03:32:22.155727 : Epoch  3, Batch    901, Loss  0.874478, Average Loss  0.872045, Time  0.448738
2021-09-25 03:32:28.331783 : Epoch  3, Batch    902, Loss  0.884393, Average Loss  0.872094, Time  0.448476
2021-09-25 03:32:34.504452 : Epoch  3, Batch    903, Loss  0.869154, Average Loss  0.872063, Time  0.449374
2021-09-25 03:32:40.671879 : Epoch  3, Batch    904, Loss  0.853242, Average Loss  0.871995, Time  0.447396
2021-09-25 03:32:46.846952 : Epoch  3, Batch    905, Loss  0.871013, Average Loss  0.871958, Time  0.446951
2021-09-25 03:32:53.007597 : Epoch  3, Batch    906, Loss  0.873237, Average Loss  0.871992, Time  0.448396
2021-09-25 03:32:59.175643 : Epoch  3, Batch    907, Loss  0.878419, Average Loss  0.872035, Time  0.448592
2021-09-25 03:33:05.359350 : Epoch  3, Batch    908, Loss  0.866483, Average Loss  0.872001, Time  0.462834
2021-09-25 03:33:11.532398 : Epoch  3, Batch    909, Loss  0.875843, Average Loss  0.871969, Time  0.449300
2021-09-25 03:33:17.728023 : Epoch  3, Batch    910, Loss  0.873023, Average Loss  0.872014, Time  0.448901
2021-09-25 03:33:23.896798 : Epoch  3, Batch    911, Loss  0.879743, Average Loss  0.872150, Time  0.447000
2021-09-25 03:33:30.081188 : Epoch  3, Batch    912, Loss  0.866253, Average Loss  0.872046, Time  0.449648
2021-09-25 03:33:36.254286 : Epoch  3, Batch    913, Loss  0.862875, Average Loss  0.871994, Time  0.446440
2021-09-25 03:33:42.418228 : Epoch  3, Batch    914, Loss  0.869410, Average Loss  0.872073, Time  0.452926
2021-09-25 03:33:48.593499 : Epoch  3, Batch    915, Loss  0.872266, Average Loss  0.872107, Time  0.458183
2021-09-25 03:33:54.749709 : Epoch  3, Batch    916, Loss  0.859500, Average Loss  0.872107, Time  0.447586
2021-09-25 03:34:00.912219 : Epoch  3, Batch    917, Loss  0.875499, Average Loss  0.872170, Time  0.446456
2021-09-25 03:34:07.093029 : Epoch  3, Batch    918, Loss  0.875067, Average Loss  0.872177, Time  0.447628
2021-09-25 03:34:13.255210 : Epoch  3, Batch    919, Loss  0.882610, Average Loss  0.872234, Time  0.445666
2021-09-25 03:34:19.407607 : Epoch  3, Batch    920, Loss  0.871161, Average Loss  0.872198, Time  0.449812
2021-09-25 03:34:25.584117 : Epoch  3, Batch    921, Loss  0.879563, Average Loss  0.872267, Time  0.447655
2021-09-25 03:34:31.750839 : Epoch  3, Batch    922, Loss  0.877468, Average Loss  0.872248, Time  0.451823
2021-09-25 03:34:37.922761 : Epoch  3, Batch    923, Loss  0.867781, Average Loss  0.872294, Time  0.453119
2021-09-25 03:34:44.100269 : Epoch  3, Batch    924, Loss  0.876633, Average Loss  0.872304, Time  0.448026
2021-09-25 03:34:49.760922 : CheckPoint: Validation Loss  0.00015146, Best Loss  0.00014852
2021-09-25 03:34:50.281966 : Epoch  3, Batch    925, Loss  0.871995, Average Loss  0.872286, Time  0.449960
2021-09-25 03:34:55.777299 : Epoch  3, Batch    545, Loss  0.879703, Average Loss  0.872037, Time  0.450669
2021-09-25 03:34:56.472050 : Epoch  3, Batch    926, Loss  0.874868, Average Loss  0.872323, Time  0.447876
2021-09-25 03:35:01.838871 : Epoch  3, Batch    546, Loss  0.874234, Average Loss  0.872101, Time  0.447577
2021-09-25 03:35:02.660294 : Epoch  3, Batch    927, Loss  0.863475, Average Loss  0.872225, Time  0.450986
2021-09-25 03:35:07.914638 : Epoch  3, Batch    547, Loss  0.878373, Average Loss  0.872113, Time  0.448635
2021-09-25 03:35:08.842722 : Epoch  3, Batch    928, Loss  0.876485, Average Loss  0.872229, Time  0.445630
2021-09-25 03:35:08.893204 : Saving Model after 3-th Epoch.
2021-09-25 03:35:09.844640 : Epoch Finished.
2021-09-25 03:35:13.965954 : Epoch  3, Batch    548, Loss  0.881237, Average Loss  0.872140, Time  0.446712
2021-09-25 03:35:18.290742 : Batch Shuffled
2021-09-25 03:35:20.050992 : Epoch  3, Batch    549, Loss  0.872404, Average Loss  0.872205, Time  0.448240
2021-09-25 03:35:24.458930 : Epoch  4, Batch      1, Loss  0.870671, Average Loss  0.872162, Time  0.460293
2021-09-25 03:35:26.120017 : Epoch  3, Batch    550, Loss  0.861424, Average Loss  0.872126, Time  0.446845
2021-09-25 03:35:30.672288 : Epoch  4, Batch      2, Loss  0.873313, Average Loss  0.872192, Time  0.446802
2021-09-25 03:35:32.190604 : Epoch  3, Batch    551, Loss  0.870183, Average Loss  0.872212, Time  0.452243
2021-09-25 03:35:36.868397 : Epoch  4, Batch      3, Loss  0.873590, Average Loss  0.872194, Time  0.445243
2021-09-25 03:35:38.253721 : Epoch  3, Batch    552, Loss  0.881022, Average Loss  0.872177, Time  0.449847
2021-09-25 03:35:43.083877 : Epoch  4, Batch      4, Loss  0.856006, Average Loss  0.872075, Time  0.448662
2021-09-25 03:35:44.322812 : Epoch  3, Batch    553, Loss  0.871835, Average Loss  0.872163, Time  0.448709
2021-09-25 03:35:49.276805 : Epoch  4, Batch      5, Loss  0.867994, Average Loss  0.872065, Time  0.447692
2021-09-25 03:35:50.387880 : Epoch  3, Batch    554, Loss  0.870267, Average Loss  0.872177, Time  0.445192
2021-09-25 03:35:55.473401 : Epoch  4, Batch      6, Loss  0.873653, Average Loss  0.872070, Time  0.447950
2021-09-25 03:35:56.435916 : Epoch  3, Batch    555, Loss  0.862682, Average Loss  0.872186, Time  0.445511
2021-09-25 03:36:01.651800 : Epoch  4, Batch      7, Loss  0.872525, Average Loss  0.872016, Time  0.446882
2021-09-25 03:36:02.484860 : Epoch  3, Batch    556, Loss  0.876575, Average Loss  0.872161, Time  0.447607
2021-09-25 03:36:07.866598 : Epoch  4, Batch      8, Loss  0.883475, Average Loss  0.872057, Time  0.461491
2021-09-25 03:36:08.552969 : Epoch  3, Batch    557, Loss  0.873169, Average Loss  0.872228, Time  0.446429
2021-09-25 03:36:14.054499 : Epoch  4, Batch      9, Loss  0.866701, Average Loss  0.872020, Time  0.449439
2021-09-25 03:36:14.616949 : Epoch  3, Batch    558, Loss  0.869963, Average Loss  0.872159, Time  0.459818
2021-09-25 03:36:20.248171 : Epoch  4, Batch     10, Loss  0.863641, Average Loss  0.872009, Time  0.446450
2021-09-25 03:36:20.704870 : Epoch  3, Batch    559, Loss  0.861550, Average Loss  0.872128, Time  0.462709
2021-09-25 03:36:26.430916 : Epoch  4, Batch     11, Loss  0.856819, Average Loss  0.872060, Time  0.446630
2021-09-25 03:36:26.763967 : Epoch  3, Batch    560, Loss  0.867916, Average Loss  0.872097, Time  0.446817
2021-09-25 03:36:32.615539 : Epoch  4, Batch     12, Loss  0.873131, Average Loss  0.872032, Time  0.446702
2021-09-25 03:36:32.824525 : Epoch  3, Batch    561, Loss  0.880132, Average Loss  0.872115, Time  0.446070
2021-09-25 03:36:38.809525 : Epoch  4, Batch     13, Loss  0.881437, Average Loss  0.872099, Time  0.447426
2021-09-25 03:36:38.894672 : Epoch  3, Batch    562, Loss  0.878421, Average Loss  0.872064, Time  0.446365
2021-09-25 03:36:44.956152 : Epoch  3, Batch    563, Loss  0.879053, Average Loss  0.872118, Time  0.449053
2021-09-25 03:36:45.035069 : Epoch  4, Batch     14, Loss  0.871112, Average Loss  0.872048, Time  0.446455
2021-09-25 03:36:51.013788 : Epoch  3, Batch    564, Loss  0.870716, Average Loss  0.872071, Time  0.446837
2021-09-25 03:36:51.262410 : Epoch  4, Batch     15, Loss  0.882699, Average Loss  0.872137, Time  0.457216
2021-09-25 03:36:57.070165 : Epoch  3, Batch    565, Loss  0.869219, Average Loss  0.872059, Time  0.446887
2021-09-25 03:36:57.461855 : Epoch  4, Batch     16, Loss  0.875915, Average Loss  0.872113, Time  0.447930
2021-09-25 03:37:03.165216 : Epoch  3, Batch    566, Loss  0.890355, Average Loss  0.872177, Time  0.461787
2021-09-25 03:37:09.252265 : Epoch  3, Batch    567, Loss  0.888639, Average Loss  0.872226, Time  0.446569
2021-09-25 03:37:15.301442 : Epoch  3, Batch    568, Loss  0.867177, Average Loss  0.872167, Time  0.446077
2021-09-25 03:37:21.374890 : Epoch  3, Batch    569, Loss  0.864192, Average Loss  0.872262, Time  0.449231
2021-09-25 03:37:27.446904 : Epoch  3, Batch    570, Loss  0.884935, Average Loss  0.872339, Time  0.447140
2021-09-25 03:37:33.494955 : Epoch  3, Batch    571, Loss  0.884127, Average Loss  0.872365, Time  0.449211
2021-09-25 03:37:39.559094 : Epoch  3, Batch    572, Loss  0.887410, Average Loss  0.872413, Time  0.447330
2021-09-25 03:37:45.616745 : Epoch  3, Batch    573, Loss  0.863437, Average Loss  0.872348, Time  0.448806
2021-09-25 03:37:51.674418 : Epoch  3, Batch    574, Loss  0.869689, Average Loss  0.872296, Time  0.459093
2021-09-25 03:37:57.744803 : Epoch  3, Batch    575, Loss  0.860993, Average Loss  0.872195, Time  0.445733
2021-09-25 03:38:03.800867 : Epoch  3, Batch    576, Loss  0.858497, Average Loss  0.872218, Time  0.448062
2021-09-25 03:38:09.840551 : Epoch  3, Batch    577, Loss  0.873290, Average Loss  0.872284, Time  0.445683
2021-09-25 03:38:15.910480 : Epoch  3, Batch    578, Loss  0.873275, Average Loss  0.872303, Time  0.449185
2021-09-25 03:38:21.986349 : Epoch  3, Batch    579, Loss  0.867011, Average Loss  0.872313, Time  0.448614
2021-09-25 03:38:28.063769 : Epoch  3, Batch    580, Loss  0.872403, Average Loss  0.872298, Time  0.451054
2021-09-25 03:38:34.135882 : Epoch  3, Batch    581, Loss  0.893642, Average Loss  0.872351, Time  0.457069
2021-09-25 03:38:40.183622 : Epoch  3, Batch    582, Loss  0.872676, Average Loss  0.872312, Time  0.446432
2021-09-25 03:38:46.252937 : Epoch  3, Batch    583, Loss  0.863291, Average Loss  0.872264, Time  0.446046
2021-09-25 03:38:52.303405 : Epoch  3, Batch    584, Loss  0.863215, Average Loss  0.872251, Time  0.446195
2021-09-25 03:38:58.368219 : Epoch  3, Batch    585, Loss  0.863966, Average Loss  0.872176, Time  0.445177
2021-09-25 03:39:04.424336 : Epoch  3, Batch    586, Loss  0.891855, Average Loss  0.872265, Time  0.448305
2021-09-25 03:39:10.477334 : Epoch  3, Batch    587, Loss  0.876185, Average Loss  0.872239, Time  0.448013
2021-09-25 03:39:16.544494 : Epoch  3, Batch    588, Loss  0.869182, Average Loss  0.872242, Time  0.449907
2021-09-25 03:39:22.612852 : Epoch  3, Batch    589, Loss  0.873029, Average Loss  0.872222, Time  0.456864
2021-09-25 03:39:28.694999 : Epoch  3, Batch    590, Loss  0.871957, Average Loss  0.872216, Time  0.449713
2021-09-25 03:39:34.749589 : Epoch  3, Batch    591, Loss  0.873549, Average Loss  0.872263, Time  0.446353
2021-09-25 03:39:40.808002 : Epoch  3, Batch    592, Loss  0.865307, Average Loss  0.872234, Time  0.448743
2021-09-25 03:39:46.855963 : Epoch  3, Batch    593, Loss  0.875808, Average Loss  0.872228, Time  0.445168
2021-09-25 03:39:52.925328 : Epoch  3, Batch    594, Loss  0.886292, Average Loss  0.872268, Time  0.446425
2021-09-25 03:39:58.963515 : Epoch  3, Batch    595, Loss  0.867524, Average Loss  0.872251, Time  0.444671
2021-09-25 03:40:05.046956 : Epoch  3, Batch    596, Loss  0.870462, Average Loss  0.872348, Time  0.463180
2021-09-25 03:40:11.136479 : Epoch  3, Batch    597, Loss  0.885201, Average Loss  0.872428, Time  0.447889
2021-09-25 03:40:17.221095 : Epoch  3, Batch    598, Loss  0.874479, Average Loss  0.872530, Time  0.448647
2021-09-25 03:40:23.282581 : Epoch  3, Batch    599, Loss  0.889226, Average Loss  0.872665, Time  0.446283
2021-09-25 03:40:29.360848 : Epoch  3, Batch    600, Loss  0.869021, Average Loss  0.872681, Time  0.446012
2021-09-25 03:40:35.455978 : Epoch  3, Batch    601, Loss  0.874766, Average Loss  0.872728, Time  0.449941
2021-09-25 03:40:41.525701 : Epoch  3, Batch    602, Loss  0.879291, Average Loss  0.872758, Time  0.446099
2021-09-25 03:40:47.588260 : Epoch  3, Batch    603, Loss  0.864093, Average Loss  0.872704, Time  0.449906
2021-09-25 03:40:53.660277 : Epoch  3, Batch    604, Loss  0.875367, Average Loss  0.872685, Time  0.460684
2021-09-25 03:40:59.720310 : Epoch  3, Batch    605, Loss  0.877359, Average Loss  0.872752, Time  0.450408
2021-09-25 03:41:05.788728 : Epoch  3, Batch    606, Loss  0.865354, Average Loss  0.872712, Time  0.445530
2021-09-25 03:41:11.847118 : Epoch  3, Batch    607, Loss  0.866506, Average Loss  0.872722, Time  0.449709
2021-09-25 03:41:17.902627 : Epoch  3, Batch    608, Loss  0.861333, Average Loss  0.872737, Time  0.445349
2021-09-25 03:41:23.962848 : Epoch  3, Batch    609, Loss  0.873708, Average Loss  0.872730, Time  0.446230
2021-09-25 03:41:30.028841 : Epoch  3, Batch    610, Loss  0.893971, Average Loss  0.872777, Time  0.457505
2021-09-25 03:41:36.099484 : Epoch  3, Batch    611, Loss  0.860334, Average Loss  0.872705, Time  0.459788
2021-09-25 03:41:42.158637 : Epoch  3, Batch    612, Loss  0.853653, Average Loss  0.872643, Time  0.445561
2021-09-25 03:41:48.221861 : Epoch  3, Batch    613, Loss  0.877605, Average Loss  0.872685, Time  0.445662
2021-09-25 03:41:49.129494 : CheckPoint: Validation Loss  0.00015040, Best Loss  0.00014886
2021-09-25 03:41:54.283533 : Epoch  3, Batch    614, Loss  0.865626, Average Loss  0.872712, Time  0.446424
2021-09-25 03:41:55.300752 : Epoch  4, Batch     17, Loss  0.884805, Average Loss  0.872198, Time  0.449058
2021-09-25 03:42:00.336963 : Epoch  3, Batch    615, Loss  0.884890, Average Loss  0.872795, Time  0.447298
2021-09-25 03:42:01.419261 : Epoch  4, Batch     18, Loss  0.882539, Average Loss  0.872250, Time  0.445703
2021-09-25 03:42:06.404697 : Epoch  3, Batch    616, Loss  0.880650, Average Loss  0.872836, Time  0.447901
2021-09-25 03:42:07.562504 : Epoch  4, Batch     19, Loss  0.871635, Average Loss  0.872313, Time  0.446545
2021-09-25 03:42:12.462923 : Epoch  3, Batch    617, Loss  0.878855, Average Loss  0.872872, Time  0.447864
2021-09-25 03:42:13.685813 : Epoch  4, Batch     20, Loss  0.870068, Average Loss  0.872233, Time  0.450094
2021-09-25 03:42:18.523187 : Epoch  3, Batch    618, Loss  0.867407, Average Loss  0.872903, Time  0.447118
2021-09-25 03:42:19.813641 : Epoch  4, Batch     21, Loss  0.873466, Average Loss  0.872274, Time  0.458108
2021-09-25 03:42:24.596941 : Epoch  3, Batch    619, Loss  0.863909, Average Loss  0.872901, Time  0.456585
2021-09-25 03:42:25.926028 : Epoch  4, Batch     22, Loss  0.872548, Average Loss  0.872314, Time  0.446595
2021-09-25 03:42:30.657426 : Epoch  3, Batch    620, Loss  0.854942, Average Loss  0.872779, Time  0.447686
2021-09-25 03:42:32.035443 : Epoch  4, Batch     23, Loss  0.887708, Average Loss  0.872399, Time  0.448802
2021-09-25 03:42:36.717030 : Epoch  3, Batch    621, Loss  0.869269, Average Loss  0.872774, Time  0.446871
2021-09-25 03:42:38.126527 : Epoch  4, Batch     24, Loss  0.863407, Average Loss  0.872315, Time  0.446466
2021-09-25 03:42:42.760535 : Epoch  3, Batch    622, Loss  0.865893, Average Loss  0.872696, Time  0.446291
2021-09-25 03:42:44.231715 : Epoch  4, Batch     25, Loss  0.866900, Average Loss  0.872243, Time  0.446062
2021-09-25 03:42:48.820885 : Epoch  3, Batch    623, Loss  0.876528, Average Loss  0.872687, Time  0.450192
2021-09-25 03:42:50.349041 : Epoch  4, Batch     26, Loss  0.869101, Average Loss  0.872174, Time  0.447477
2021-09-25 03:42:54.883630 : Epoch  3, Batch    624, Loss  0.867167, Average Loss  0.872709, Time  0.445695
2021-09-25 03:42:56.457831 : Epoch  4, Batch     27, Loss  0.873125, Average Loss  0.872077, Time  0.448009
2021-09-25 03:43:00.973675 : Epoch  3, Batch    625, Loss  0.871713, Average Loss  0.872679, Time  0.447371
2021-09-25 03:43:02.585369 : Epoch  4, Batch     28, Loss  0.856332, Average Loss  0.871989, Time  0.460738
2021-09-25 03:43:07.041978 : Epoch  3, Batch    626, Loss  0.879343, Average Loss  0.872729, Time  0.458706
2021-09-25 03:43:08.705898 : Epoch  4, Batch     29, Loss  0.872685, Average Loss  0.872019, Time  0.447000
2021-09-25 03:43:13.113830 : Epoch  3, Batch    627, Loss  0.885242, Average Loss  0.872824, Time  0.446619
2021-09-25 03:43:14.806257 : Epoch  4, Batch     30, Loss  0.847604, Average Loss  0.871955, Time  0.446006
2021-09-25 03:43:19.169963 : Epoch  3, Batch    628, Loss  0.883784, Average Loss  0.872861, Time  0.446517
2021-09-25 03:43:20.917395 : Epoch  4, Batch     31, Loss  0.879727, Average Loss  0.871984, Time  0.447671
2021-09-25 03:43:25.228070 : Epoch  3, Batch    629, Loss  0.872163, Average Loss  0.872915, Time  0.447372
2021-09-25 03:43:27.038044 : Epoch  4, Batch     32, Loss  0.865139, Average Loss  0.871967, Time  0.446817
2021-09-25 03:43:31.276164 : Epoch  3, Batch    630, Loss  0.861677, Average Loss  0.872862, Time  0.447863
2021-09-25 03:43:33.144966 : Epoch  4, Batch     33, Loss  0.883138, Average Loss  0.871995, Time  0.446217
2021-09-25 03:43:37.334684 : Epoch  3, Batch    631, Loss  0.869989, Average Loss  0.872789, Time  0.446003
2021-09-25 03:43:39.251292 : Epoch  4, Batch     34, Loss  0.874680, Average Loss  0.872034, Time  0.447269
2021-09-25 03:43:43.387195 : Epoch  3, Batch    632, Loss  0.852854, Average Loss  0.872663, Time  0.449816
2021-09-25 03:43:45.364491 : Epoch  4, Batch     35, Loss  0.857269, Average Loss  0.871946, Time  0.451156
2021-09-25 03:43:49.456823 : Epoch  3, Batch    633, Loss  0.878870, Average Loss  0.872675, Time  0.446455
2021-09-25 03:43:51.501837 : Epoch  4, Batch     36, Loss  0.856535, Average Loss  0.871820, Time  0.461839
2021-09-25 03:43:55.526822 : Epoch  3, Batch    634, Loss  0.865924, Average Loss  0.872648, Time  0.458696
2021-09-25 03:43:57.629851 : Epoch  4, Batch     37, Loss  0.881264, Average Loss  0.871900, Time  0.447272
2021-09-25 03:44:01.620079 : Epoch  3, Batch    635, Loss  0.868397, Average Loss  0.872661, Time  0.448644
2021-09-25 03:44:03.742430 : Epoch  4, Batch     38, Loss  0.885006, Average Loss  0.871929, Time  0.448772
2021-09-25 03:44:07.694687 : Epoch  3, Batch    636, Loss  0.869853, Average Loss  0.872658, Time  0.448784
2021-09-25 03:44:09.862537 : Epoch  4, Batch     39, Loss  0.859204, Average Loss  0.871893, Time  0.446572
2021-09-25 03:44:13.777859 : Epoch  3, Batch    637, Loss  0.878070, Average Loss  0.872635, Time  0.449781
2021-09-25 03:44:16.012675 : Epoch  4, Batch     40, Loss  0.858235, Average Loss  0.871794, Time  0.448192
2021-09-25 03:44:19.843675 : Epoch  3, Batch    638, Loss  0.868483, Average Loss  0.872664, Time  0.446494
2021-09-25 03:44:22.138351 : Epoch  4, Batch     41, Loss  0.869832, Average Loss  0.871859, Time  0.446920
2021-09-25 03:44:25.913157 : Epoch  3, Batch    639, Loss  0.885929, Average Loss  0.872703, Time  0.447019
2021-09-25 03:44:28.270723 : Epoch  4, Batch     42, Loss  0.878949, Average Loss  0.871877, Time  0.452538
2021-09-25 03:44:31.994190 : Epoch  3, Batch    640, Loss  0.871413, Average Loss  0.872735, Time  0.448625
2021-09-25 03:44:34.421781 : Epoch  4, Batch     43, Loss  0.876627, Average Loss  0.871964, Time  0.464069
2021-09-25 03:44:38.090603 : Epoch  3, Batch    641, Loss  0.883747, Average Loss  0.872839, Time  0.459984
2021-09-25 03:44:40.548693 : Epoch  4, Batch     44, Loss  0.869217, Average Loss  0.872029, Time  0.446054
2021-09-25 03:44:44.150757 : Epoch  3, Batch    642, Loss  0.883135, Average Loss  0.872939, Time  0.445494
2021-09-25 03:44:46.661264 : Epoch  4, Batch     45, Loss  0.871507, Average Loss  0.872083, Time  0.448236
2021-09-25 03:44:50.208551 : Epoch  3, Batch    643, Loss  0.862640, Average Loss  0.872910, Time  0.445933
2021-09-25 03:44:52.774446 : Epoch  4, Batch     46, Loss  0.860183, Average Loss  0.872061, Time  0.449966
2021-09-25 03:44:56.272806 : Epoch  3, Batch    644, Loss  0.867817, Average Loss  0.872897, Time  0.445348
2021-09-25 03:44:58.885997 : Epoch  4, Batch     47, Loss  0.874276, Average Loss  0.872115, Time  0.447584
2021-09-25 03:45:05.013864 : Epoch  4, Batch     48, Loss  0.878276, Average Loss  0.872096, Time  0.446301
2021-09-25 03:45:11.130337 : Epoch  4, Batch     49, Loss  0.864693, Average Loss  0.872053, Time  0.445873
2021-09-25 03:45:17.232308 : Epoch  4, Batch     50, Loss  0.852636, Average Loss  0.872002, Time  0.446492
2021-09-25 03:45:23.354021 : Epoch  4, Batch     51, Loss  0.864630, Average Loss  0.871982, Time  0.456371
2021-09-25 03:45:29.484900 : Epoch  4, Batch     52, Loss  0.863391, Average Loss  0.871941, Time  0.447510
2021-09-25 03:45:35.638388 : Epoch  4, Batch     53, Loss  0.875228, Average Loss  0.872043, Time  0.447023
2021-09-25 03:45:41.764329 : Epoch  4, Batch     54, Loss  0.869069, Average Loss  0.871991, Time  0.448860
2021-09-25 03:45:47.879038 : Epoch  4, Batch     55, Loss  0.856199, Average Loss  0.871941, Time  0.449581
2021-09-25 03:45:54.009380 : Epoch  4, Batch     56, Loss  0.860402, Average Loss  0.871886, Time  0.452309
2021-09-25 03:46:00.130479 : Epoch  4, Batch     57, Loss  0.857684, Average Loss  0.871758, Time  0.447767
2021-09-25 03:46:06.307422 : Epoch  4, Batch     58, Loss  0.879440, Average Loss  0.871868, Time  0.459816
2021-09-25 03:46:12.474267 : Epoch  4, Batch     59, Loss  0.880358, Average Loss  0.871872, Time  0.451686
2021-09-25 03:46:18.588474 : Epoch  4, Batch     60, Loss  0.881350, Average Loss  0.871934, Time  0.450217
2021-09-25 03:46:24.726301 : Epoch  4, Batch     61, Loss  0.861689, Average Loss  0.871866, Time  0.450929
2021-09-25 03:46:30.835637 : Epoch  4, Batch     62, Loss  0.862844, Average Loss  0.871898, Time  0.446415
2021-09-25 03:46:36.961116 : Epoch  4, Batch     63, Loss  0.868307, Average Loss  0.871843, Time  0.445686
2021-09-25 03:46:43.093872 : Epoch  4, Batch     64, Loss  0.856591, Average Loss  0.871767, Time  0.461844
2021-09-25 03:46:49.195710 : Epoch  4, Batch     65, Loss  0.870011, Average Loss  0.871743, Time  0.447227
2021-09-25 03:46:55.321315 : Epoch  4, Batch     66, Loss  0.870926, Average Loss  0.871728, Time  0.462990
2021-09-25 03:47:01.426282 : Epoch  4, Batch     67, Loss  0.879722, Average Loss  0.871778, Time  0.445932
2021-09-25 03:47:07.550480 : Epoch  4, Batch     68, Loss  0.873969, Average Loss  0.871807, Time  0.446052
2021-09-25 03:47:13.667863 : Epoch  4, Batch     69, Loss  0.879118, Average Loss  0.871842, Time  0.445858
2021-09-25 03:47:19.795214 : Epoch  4, Batch     70, Loss  0.868157, Average Loss  0.871845, Time  0.447890
2021-09-25 03:47:25.916510 : Epoch  4, Batch     71, Loss  0.862159, Average Loss  0.871750, Time  0.446693
2021-09-25 03:47:32.011926 : Epoch  4, Batch     72, Loss  0.880920, Average Loss  0.871754, Time  0.446123
2021-09-25 03:47:38.155869 : Epoch  4, Batch     73, Loss  0.860702, Average Loss  0.871672, Time  0.459905
2021-09-25 03:47:44.258926 : Epoch  4, Batch     74, Loss  0.875472, Average Loss  0.871666, Time  0.448431
2021-09-25 03:47:50.358825 : Epoch  4, Batch     75, Loss  0.854844, Average Loss  0.871540, Time  0.447681
2021-09-25 03:47:56.456970 : Epoch  4, Batch     76, Loss  0.869131, Average Loss  0.871466, Time  0.446258
2021-09-25 03:48:02.554118 : Epoch  4, Batch     77, Loss  0.881963, Average Loss  0.871470, Time  0.446085
2021-09-25 03:48:08.654372 : Epoch  4, Batch     78, Loss  0.887855, Average Loss  0.871398, Time  0.446077
2021-09-25 03:48:14.761677 : Epoch  4, Batch     79, Loss  0.882870, Average Loss  0.871333, Time  0.447341
2021-09-25 03:48:20.867650 : Epoch  4, Batch     80, Loss  0.877344, Average Loss  0.871362, Time  0.450457
2021-09-25 03:48:26.993533 : Epoch  4, Batch     81, Loss  0.876235, Average Loss  0.871467, Time  0.456035
2021-09-25 03:48:33.104961 : Epoch  4, Batch     82, Loss  0.879820, Average Loss  0.871490, Time  0.447440
2021-09-25 03:48:39.232627 : Epoch  4, Batch     83, Loss  0.872295, Average Loss  0.871506, Time  0.446257
2021-09-25 03:48:45.341664 : Epoch  4, Batch     84, Loss  0.868917, Average Loss  0.871477, Time  0.445949
2021-09-25 03:48:51.467859 : Epoch  4, Batch     85, Loss  0.853734, Average Loss  0.871485, Time  0.451044
2021-09-25 03:48:57.573683 : Epoch  4, Batch     86, Loss  0.881382, Average Loss  0.871545, Time  0.450652
2021-09-25 03:49:03.692723 : Epoch  4, Batch     87, Loss  0.875882, Average Loss  0.871531, Time  0.445802
2021-09-25 03:49:09.816464 : Epoch  4, Batch     88, Loss  0.878767, Average Loss  0.871588, Time  0.455050
2021-09-25 03:49:15.940359 : Epoch  4, Batch     89, Loss  0.863266, Average Loss  0.871646, Time  0.448932
2021-09-25 03:49:22.065078 : Epoch  4, Batch     90, Loss  0.861957, Average Loss  0.871610, Time  0.449640
2021-09-25 03:49:28.188091 : Epoch  4, Batch     91, Loss  0.878430, Average Loss  0.871628, Time  0.447016
2021-09-25 03:49:34.311534 : Epoch  4, Batch     92, Loss  0.882049, Average Loss  0.871777, Time  0.446670
2021-09-25 03:49:40.439982 : Epoch  4, Batch     93, Loss  0.864506, Average Loss  0.871676, Time  0.446876
2021-09-25 03:49:43.919913 : CheckPoint: Validation Loss  0.00015386, Best Loss  0.00014852
2021-09-25 03:49:46.549441 : Epoch  4, Batch     94, Loss  0.847510, Average Loss  0.871462, Time  0.447602
2021-09-25 03:49:49.932045 : Epoch  3, Batch    645, Loss  0.855680, Average Loss  0.872830, Time  0.446245
2021-09-25 03:49:52.639272 : Epoch  4, Batch     95, Loss  0.885833, Average Loss  0.871484, Time  0.453013
2021-09-25 03:49:55.990871 : Epoch  3, Batch    646, Loss  0.874308, Average Loss  0.872815, Time  0.446368
2021-09-25 03:49:58.752776 : Epoch  4, Batch     96, Loss  0.856302, Average Loss  0.871402, Time  0.457073
2021-09-25 03:50:02.066362 : Epoch  3, Batch    647, Loss  0.870268, Average Loss  0.872826, Time  0.462110
2021-09-25 03:50:04.853566 : Epoch  4, Batch     97, Loss  0.867645, Average Loss  0.871399, Time  0.446764
2021-09-25 03:50:08.135659 : Epoch  3, Batch    648, Loss  0.871740, Average Loss  0.872753, Time  0.446847
2021-09-25 03:50:10.953342 : Epoch  4, Batch     98, Loss  0.882022, Average Loss  0.871499, Time  0.446518
2021-09-25 03:50:14.202868 : Epoch  3, Batch    649, Loss  0.884395, Average Loss  0.872743, Time  0.445911
2021-09-25 03:50:17.060609 : Epoch  4, Batch     99, Loss  0.879948, Average Loss  0.871546, Time  0.446717
2021-09-25 03:50:20.263899 : Epoch  3, Batch    650, Loss  0.856501, Average Loss  0.872646, Time  0.447176
2021-09-25 03:50:23.199674 : Epoch  4, Batch    100, Loss  0.874383, Average Loss  0.871490, Time  0.448436
2021-09-25 03:50:26.317519 : Epoch  3, Batch    651, Loss  0.874850, Average Loss  0.872611, Time  0.446685
2021-09-25 03:50:29.304930 : Epoch  4, Batch    101, Loss  0.883623, Average Loss  0.871574, Time  0.447362
2021-09-25 03:50:32.381661 : Epoch  3, Batch    652, Loss  0.869503, Average Loss  0.872646, Time  0.458390
2021-09-25 03:50:35.402677 : Epoch  4, Batch    102, Loss  0.876974, Average Loss  0.871618, Time  0.446794
2021-09-25 03:50:38.459687 : Epoch  3, Batch    653, Loss  0.852985, Average Loss  0.872544, Time  0.446879
2021-09-25 03:50:41.532084 : Epoch  4, Batch    103, Loss  0.880778, Average Loss  0.871698, Time  0.465547
2021-09-25 03:50:44.542763 : Epoch  3, Batch    654, Loss  0.876057, Average Loss  0.872557, Time  0.461125
2021-09-25 03:50:47.644802 : Epoch  4, Batch    104, Loss  0.861719, Average Loss  0.871672, Time  0.446607
2021-09-25 03:50:50.605789 : Epoch  3, Batch    655, Loss  0.862413, Average Loss  0.872472, Time  0.446661
2021-09-25 03:50:53.759066 : Epoch  4, Batch    105, Loss  0.861972, Average Loss  0.871637, Time  0.448170
2021-09-25 03:50:56.652605 : Epoch  3, Batch    656, Loss  0.864357, Average Loss  0.872370, Time  0.452166
2021-09-25 03:50:59.848910 : Epoch  4, Batch    106, Loss  0.872897, Average Loss  0.871593, Time  0.446218
2021-09-25 03:51:02.715663 : Epoch  3, Batch    657, Loss  0.864442, Average Loss  0.872350, Time  0.445987
2021-09-25 03:51:05.955135 : Epoch  4, Batch    107, Loss  0.861328, Average Loss  0.871558, Time  0.445493
2021-09-25 03:51:08.748182 : Epoch  3, Batch    658, Loss  0.869497, Average Loss  0.872299, Time  0.446044
2021-09-25 03:51:12.046631 : Epoch  4, Batch    108, Loss  0.874697, Average Loss  0.871609, Time  0.445285
2021-09-25 03:51:14.788891 : Epoch  3, Batch    659, Loss  0.875673, Average Loss  0.872358, Time  0.446077
2021-09-25 03:51:18.144969 : Epoch  4, Batch    109, Loss  0.866528, Average Loss  0.871511, Time  0.450987
2021-09-25 03:51:20.852933 : Epoch  3, Batch    660, Loss  0.869017, Average Loss  0.872394, Time  0.447708
2021-09-25 03:51:24.273184 : Epoch  4, Batch    110, Loss  0.877537, Average Loss  0.871552, Time  0.447077
2021-09-25 03:51:26.904598 : Epoch  3, Batch    661, Loss  0.872489, Average Loss  0.872399, Time  0.447450
2021-09-25 03:51:30.389595 : Epoch  4, Batch    111, Loss  0.857528, Average Loss  0.871525, Time  0.461957
2021-09-25 03:51:32.957601 : Epoch  3, Batch    662, Loss  0.869527, Average Loss  0.872423, Time  0.462881
2021-09-25 03:51:36.476687 : Epoch  4, Batch    112, Loss  0.873575, Average Loss  0.871588, Time  0.446735
2021-09-25 03:51:39.031182 : Epoch  3, Batch    663, Loss  0.871847, Average Loss  0.872414, Time  0.448212
2021-09-25 03:51:42.602499 : Epoch  4, Batch    113, Loss  0.876191, Average Loss  0.871631, Time  0.446655
2021-09-25 03:51:45.077818 : Epoch  3, Batch    664, Loss  0.880980, Average Loss  0.872402, Time  0.446276
2021-09-25 03:51:48.709209 : Epoch  4, Batch    114, Loss  0.861937, Average Loss  0.871547, Time  0.446199
2021-09-25 03:51:51.143425 : Epoch  3, Batch    665, Loss  0.875327, Average Loss  0.872382, Time  0.446678
2021-09-25 03:51:54.824959 : Epoch  4, Batch    115, Loss  0.880337, Average Loss  0.871624, Time  0.446773
2021-09-25 03:51:57.214152 : Epoch  3, Batch    666, Loss  0.886138, Average Loss  0.872487, Time  0.446167
2021-09-25 03:52:00.933687 : Epoch  4, Batch    116, Loss  0.873337, Average Loss  0.871603, Time  0.445996
2021-09-25 03:52:03.277925 : Epoch  3, Batch    667, Loss  0.874886, Average Loss  0.872430, Time  0.447637
2021-09-25 03:52:09.350404 : Epoch  3, Batch    668, Loss  0.860638, Average Loss  0.872363, Time  0.447193
2021-09-25 03:52:15.438922 : Epoch  3, Batch    669, Loss  0.880006, Average Loss  0.872467, Time  0.460938
2021-09-25 03:52:21.502478 : Epoch  3, Batch    670, Loss  0.864223, Average Loss  0.872358, Time  0.447153
2021-09-25 03:52:27.590376 : Epoch  3, Batch    671, Loss  0.859376, Average Loss  0.872291, Time  0.451474
2021-09-25 03:52:33.671796 : Epoch  3, Batch    672, Loss  0.892450, Average Loss  0.872380, Time  0.452438
2021-09-25 03:52:39.753758 : Epoch  3, Batch    673, Loss  0.888182, Average Loss  0.872515, Time  0.449583
2021-09-25 03:52:45.838918 : Epoch  3, Batch    674, Loss  0.868929, Average Loss  0.872494, Time  0.449404
2021-09-25 03:52:51.922849 : Epoch  3, Batch    675, Loss  0.874714, Average Loss  0.872466, Time  0.445632
2021-09-25 03:52:57.980427 : Epoch  3, Batch    676, Loss  0.896146, Average Loss  0.872514, Time  0.445913
2021-09-25 03:53:04.076536 : Epoch  3, Batch    677, Loss  0.863405, Average Loss  0.872510, Time  0.463327
2021-09-25 03:53:10.137023 : Epoch  3, Batch    678, Loss  0.856255, Average Loss  0.872447, Time  0.449420
2021-09-25 03:53:16.186257 : Epoch  3, Batch    679, Loss  0.883554, Average Loss  0.872586, Time  0.445585
2021-09-25 03:53:22.258508 : Epoch  3, Batch    680, Loss  0.856256, Average Loss  0.872488, Time  0.446863
2021-09-25 03:53:28.330884 : Epoch  3, Batch    681, Loss  0.865263, Average Loss  0.872398, Time  0.445484
2021-09-25 03:53:34.402853 : Epoch  3, Batch    682, Loss  0.868342, Average Loss  0.872368, Time  0.448913
2021-09-25 03:53:40.474147 : Epoch  3, Batch    683, Loss  0.882855, Average Loss  0.872497, Time  0.448445
2021-09-25 03:53:46.566111 : Epoch  3, Batch    684, Loss  0.879567, Average Loss  0.872563, Time  0.458756
2021-09-25 03:53:52.630186 : Epoch  3, Batch    685, Loss  0.859257, Average Loss  0.872464, Time  0.446682
2021-09-25 03:53:58.693318 : Epoch  3, Batch    686, Loss  0.862294, Average Loss  0.872435, Time  0.447519
2021-09-25 03:54:04.756391 : Epoch  3, Batch    687, Loss  0.881997, Average Loss  0.872470, Time  0.448350
2021-09-25 03:54:10.810866 : Epoch  3, Batch    688, Loss  0.866889, Average Loss  0.872557, Time  0.446013
2021-09-25 03:54:16.881427 : Epoch  3, Batch    689, Loss  0.871193, Average Loss  0.872675, Time  0.446362
2021-09-25 03:54:22.941406 : Epoch  3, Batch    690, Loss  0.871467, Average Loss  0.872664, Time  0.446414
2021-09-25 03:54:28.985683 : Epoch  3, Batch    691, Loss  0.866217, Average Loss  0.872559, Time  0.445797
2021-09-25 03:54:35.067693 : Epoch  3, Batch    692, Loss  0.882830, Average Loss  0.872598, Time  0.457419
2021-09-25 03:54:41.131907 : Epoch  3, Batch    693, Loss  0.867942, Average Loss  0.872621, Time  0.446945
2021-09-25 03:54:47.214900 : Epoch  3, Batch    694, Loss  0.866162, Average Loss  0.872535, Time  0.445912
2021-09-25 03:54:53.273887 : Epoch  3, Batch    695, Loss  0.871603, Average Loss  0.872564, Time  0.446251
2021-09-25 03:54:59.317850 : Epoch  3, Batch    696, Loss  0.878790, Average Loss  0.872598, Time  0.446827
2021-09-25 03:55:05.371760 : Epoch  3, Batch    697, Loss  0.857547, Average Loss  0.872529, Time  0.445875
2021-09-25 03:55:11.425842 : Epoch  3, Batch    698, Loss  0.880722, Average Loss  0.872464, Time  0.445502
2021-09-25 03:55:17.500945 : Epoch  3, Batch    699, Loss  0.860355, Average Loss  0.872428, Time  0.456883
2021-09-25 03:55:23.550953 : Epoch  3, Batch    700, Loss  0.873308, Average Loss  0.872409, Time  0.447546
2021-09-25 03:55:29.613040 : Epoch  3, Batch    701, Loss  0.868958, Average Loss  0.872397, Time  0.445343
2021-09-25 03:55:35.674083 : Epoch  3, Batch    702, Loss  0.873069, Average Loss  0.872396, Time  0.446927
2021-09-25 03:55:41.739014 : Epoch  3, Batch    703, Loss  0.866172, Average Loss  0.872350, Time  0.447792
2021-09-25 03:55:47.813725 : Epoch  3, Batch    704, Loss  0.864076, Average Loss  0.872290, Time  0.453925
2021-09-25 03:55:53.876589 : Epoch  3, Batch    705, Loss  0.883346, Average Loss  0.872342, Time  0.446861
2021-09-25 03:55:59.960038 : Epoch  3, Batch    706, Loss  0.874276, Average Loss  0.872383, Time  0.456789
2021-09-25 03:56:06.046189 : Epoch  3, Batch    707, Loss  0.869782, Average Loss  0.872352, Time  0.463069
2021-09-25 03:56:12.109888 : Epoch  3, Batch    708, Loss  0.872167, Average Loss  0.872373, Time  0.446064
2021-09-25 03:56:18.159619 : Epoch  3, Batch    709, Loss  0.881441, Average Loss  0.872440, Time  0.445523
2021-09-25 03:56:24.215940 : Epoch  3, Batch    710, Loss  0.864169, Average Loss  0.872360, Time  0.446079
2021-09-25 03:56:30.284906 : Epoch  3, Batch    711, Loss  0.877199, Average Loss  0.872311, Time  0.455396
2021-09-25 03:56:36.355873 : Epoch  3, Batch    712, Loss  0.885170, Average Loss  0.872356, Time  0.447324
2021-09-25 03:56:42.429573 : Epoch  3, Batch    713, Loss  0.868692, Average Loss  0.872312, Time  0.447153
2021-09-25 03:56:48.509145 : Epoch  3, Batch    714, Loss  0.875585, Average Loss  0.872294, Time  0.462106
2021-09-25 03:56:53.078483 : CheckPoint: Validation Loss  0.00015058, Best Loss  0.00014886
2021-09-25 03:56:54.584782 : Epoch  3, Batch    715, Loss  0.884885, Average Loss  0.872273, Time  0.455809
2021-09-25 03:56:59.280809 : Epoch  4, Batch    117, Loss  0.870763, Average Loss  0.871503, Time  0.463122
2021-09-25 03:57:00.645541 : Epoch  3, Batch    716, Loss  0.881628, Average Loss  0.872337, Time  0.445531
2021-09-25 03:57:05.402989 : Epoch  4, Batch    118, Loss  0.867382, Average Loss  0.871468, Time  0.446906
2021-09-25 03:57:06.700601 : Epoch  3, Batch    717, Loss  0.869961, Average Loss  0.872398, Time  0.446905
2021-09-25 03:57:11.530370 : Epoch  4, Batch    119, Loss  0.866903, Average Loss  0.871466, Time  0.446965
2021-09-25 03:57:12.795577 : Epoch  3, Batch    718, Loss  0.866254, Average Loss  0.872368, Time  0.449863
2021-09-25 03:57:17.668522 : Epoch  4, Batch    120, Loss  0.861388, Average Loss  0.871450, Time  0.452044
2021-09-25 03:57:18.864876 : Epoch  3, Batch    719, Loss  0.871460, Average Loss  0.872443, Time  0.445612
2021-09-25 03:57:23.792074 : Epoch  4, Batch    121, Loss  0.870931, Average Loss  0.871419, Time  0.446096
2021-09-25 03:57:24.923384 : Epoch  3, Batch    720, Loss  0.865276, Average Loss  0.872399, Time  0.445782
2021-09-25 03:57:29.908591 : Epoch  4, Batch    122, Loss  0.863493, Average Loss  0.871302, Time  0.447561
2021-09-25 03:57:30.977820 : Epoch  3, Batch    721, Loss  0.869048, Average Loss  0.872354, Time  0.446089
2021-09-25 03:57:36.042446 : Epoch  4, Batch    123, Loss  0.885143, Average Loss  0.871269, Time  0.450482
2021-09-25 03:57:37.080633 : Epoch  3, Batch    722, Loss  0.879254, Average Loss  0.872396, Time  0.467770
2021-09-25 03:57:42.173731 : Epoch  4, Batch    124, Loss  0.873207, Average Loss  0.871195, Time  0.453846
2021-09-25 03:57:43.162533 : Epoch  3, Batch    723, Loss  0.881402, Average Loss  0.872373, Time  0.449440
2021-09-25 03:57:48.303755 : Epoch  4, Batch    125, Loss  0.881274, Average Loss  0.871295, Time  0.447737
2021-09-25 03:57:49.235598 : Epoch  3, Batch    724, Loss  0.871584, Average Loss  0.872429, Time  0.447437
2021-09-25 03:57:54.442865 : Epoch  4, Batch    126, Loss  0.873262, Average Loss  0.871273, Time  0.446515
2021-09-25 03:57:55.318353 : Epoch  3, Batch    725, Loss  0.867883, Average Loss  0.872362, Time  0.448423
2021-09-25 03:58:00.580738 : Epoch  4, Batch    127, Loss  0.884798, Average Loss  0.871329, Time  0.448219
2021-09-25 03:58:01.390809 : Epoch  3, Batch    726, Loss  0.870851, Average Loss  0.872322, Time  0.446579
2021-09-25 03:58:06.686647 : Epoch  4, Batch    128, Loss  0.878646, Average Loss  0.871399, Time  0.447259
2021-09-25 03:58:07.470841 : Epoch  3, Batch    727, Loss  0.871114, Average Loss  0.872282, Time  0.445859
2021-09-25 03:58:12.812913 : Epoch  4, Batch    129, Loss  0.863457, Average Loss  0.871394, Time  0.452373
2021-09-25 03:58:13.563231 : Epoch  3, Batch    728, Loss  0.869511, Average Loss  0.872233, Time  0.448682
2021-09-25 03:58:18.951691 : Epoch  4, Batch    130, Loss  0.871816, Average Loss  0.871353, Time  0.446626
2021-09-25 03:58:19.648497 : Epoch  3, Batch    729, Loss  0.890373, Average Loss  0.872385, Time  0.458647
2021-09-25 03:58:25.057841 : Epoch  4, Batch    131, Loss  0.871502, Average Loss  0.871306, Time  0.446274
2021-09-25 03:58:25.718350 : Epoch  3, Batch    730, Loss  0.872958, Average Loss  0.872371, Time  0.446356
2021-09-25 03:58:31.188005 : Epoch  4, Batch    132, Loss  0.884048, Average Loss  0.871441, Time  0.464042
2021-09-25 03:58:31.769914 : Epoch  3, Batch    731, Loss  0.849404, Average Loss  0.872243, Time  0.445441
2021-09-25 03:58:37.310169 : Epoch  4, Batch    133, Loss  0.865983, Average Loss  0.871421, Time  0.446868
2021-09-25 03:58:37.844091 : Epoch  3, Batch    732, Loss  0.864226, Average Loss  0.872201, Time  0.453670
2021-09-25 03:58:43.470829 : Epoch  4, Batch    134, Loss  0.872169, Average Loss  0.871412, Time  0.449072
2021-09-25 03:58:43.903800 : Epoch  3, Batch    733, Loss  0.878529, Average Loss  0.872219, Time  0.445715
2021-09-25 03:58:49.590793 : Epoch  4, Batch    135, Loss  0.878617, Average Loss  0.871402, Time  0.446217
2021-09-25 03:58:49.985081 : Epoch  3, Batch    734, Loss  0.872234, Average Loss  0.872295, Time  0.448514
2021-09-25 03:58:55.703235 : Epoch  4, Batch    136, Loss  0.870522, Average Loss  0.871404, Time  0.446460
2021-09-25 03:58:56.064383 : Epoch  3, Batch    735, Loss  0.864638, Average Loss  0.872252, Time  0.448157
2021-09-25 03:59:01.803293 : Epoch  4, Batch    137, Loss  0.863040, Average Loss  0.871323, Time  0.445621
2021-09-25 03:59:02.137497 : Epoch  3, Batch    736, Loss  0.871088, Average Loss  0.872212, Time  0.449602
2021-09-25 03:59:07.915742 : Epoch  4, Batch    138, Loss  0.867298, Average Loss  0.871384, Time  0.446005
2021-09-25 03:59:08.206763 : Epoch  3, Batch    737, Loss  0.881536, Average Loss  0.872280, Time  0.461710
2021-09-25 03:59:14.023189 : Epoch  4, Batch    139, Loss  0.876648, Average Loss  0.871367, Time  0.457698
2021-09-25 03:59:14.258068 : Epoch  3, Batch    738, Loss  0.886958, Average Loss  0.872456, Time  0.447948
2021-09-25 03:59:20.140231 : Epoch  4, Batch    140, Loss  0.872271, Average Loss  0.871412, Time  0.450796
2021-09-25 03:59:20.341619 : Epoch  3, Batch    739, Loss  0.874291, Average Loss  0.872412, Time  0.448791
2021-09-25 03:59:26.251823 : Epoch  4, Batch    141, Loss  0.864093, Average Loss  0.871399, Time  0.446552
2021-09-25 03:59:26.440137 : Epoch  3, Batch    740, Loss  0.855211, Average Loss  0.872321, Time  0.455575
2021-09-25 03:59:32.374461 : Epoch  4, Batch    142, Loss  0.872953, Average Loss  0.871451, Time  0.448116
2021-09-25 03:59:32.518347 : Epoch  3, Batch    741, Loss  0.868587, Average Loss  0.872334, Time  0.446803
2021-09-25 03:59:38.503886 : Epoch  4, Batch    143, Loss  0.885334, Average Loss  0.871464, Time  0.448030
2021-09-25 03:59:38.593462 : Epoch  3, Batch    742, Loss  0.860514, Average Loss  0.872287, Time  0.446198
2021-09-25 03:59:44.649050 : Epoch  4, Batch    144, Loss  0.884167, Average Loss  0.871594, Time  0.449225
2021-09-25 03:59:44.693196 : Epoch  3, Batch    743, Loss  0.883513, Average Loss  0.872317, Time  0.449648
2021-09-25 03:59:50.789287 : Epoch  4, Batch    145, Loss  0.887891, Average Loss  0.871699, Time  0.454071
2021-09-25 03:59:50.824009 : Epoch  3, Batch    744, Loss  0.869802, Average Loss  0.872303, Time  0.472426
2021-09-25 03:59:56.956293 : Epoch  4, Batch    146, Loss  0.876690, Average Loss  0.871689, Time  0.449780
2021-09-25 04:00:03.100021 : Epoch  4, Batch    147, Loss  0.870238, Average Loss  0.871639, Time  0.463980
2021-09-25 04:00:09.215117 : Epoch  4, Batch    148, Loss  0.877001, Average Loss  0.871659, Time  0.448215
2021-09-25 04:00:15.349116 : Epoch  4, Batch    149, Loss  0.873105, Average Loss  0.871613, Time  0.448741
2021-09-25 04:00:21.463903 : Epoch  4, Batch    150, Loss  0.876440, Average Loss  0.871686, Time  0.446475
2021-09-25 04:00:27.593260 : Epoch  4, Batch    151, Loss  0.869078, Average Loss  0.871712, Time  0.446712
2021-09-25 04:00:33.713449 : Epoch  4, Batch    152, Loss  0.878271, Average Loss  0.871647, Time  0.445992
2021-09-25 04:00:39.835997 : Epoch  4, Batch    153, Loss  0.869631, Average Loss  0.871620, Time  0.446779
2021-09-25 04:00:45.971084 : Epoch  4, Batch    154, Loss  0.876594, Average Loss  0.871657, Time  0.457083
2021-09-25 04:00:52.125806 : Epoch  4, Batch    155, Loss  0.862206, Average Loss  0.871644, Time  0.447761
2021-09-25 04:00:58.244270 : Epoch  4, Batch    156, Loss  0.863883, Average Loss  0.871608, Time  0.449307
2021-09-25 04:01:04.367760 : Epoch  4, Batch    157, Loss  0.877990, Average Loss  0.871627, Time  0.447842
2021-09-25 04:01:10.483892 : Epoch  4, Batch    158, Loss  0.853424, Average Loss  0.871509, Time  0.447356
2021-09-25 04:01:16.613898 : Epoch  4, Batch    159, Loss  0.873600, Average Loss  0.871447, Time  0.446113
2021-09-25 04:01:22.727255 : Epoch  4, Batch    160, Loss  0.872606, Average Loss  0.871454, Time  0.445822
2021-09-25 04:01:28.843099 : Epoch  4, Batch    161, Loss  0.869466, Average Loss  0.871415, Time  0.445630
2021-09-25 04:01:34.962791 : Epoch  4, Batch    162, Loss  0.874661, Average Loss  0.871453, Time  0.457657
2021-09-25 04:01:41.070016 : Epoch  4, Batch    163, Loss  0.878427, Average Loss  0.871502, Time  0.445982
2021-09-25 04:01:47.160068 : Epoch  4, Batch    164, Loss  0.860259, Average Loss  0.871364, Time  0.446992
2021-09-25 04:01:53.297938 : Epoch  4, Batch    165, Loss  0.887901, Average Loss  0.871499, Time  0.447058
2021-09-25 04:01:59.399678 : Epoch  4, Batch    166, Loss  0.880417, Average Loss  0.871568, Time  0.446913
2021-09-25 04:02:05.509707 : Epoch  4, Batch    167, Loss  0.853333, Average Loss  0.871495, Time  0.446905
2021-09-25 04:02:11.618952 : Epoch  4, Batch    168, Loss  0.873892, Average Loss  0.871501, Time  0.446959
2021-09-25 04:02:17.726314 : Epoch  4, Batch    169, Loss  0.857104, Average Loss  0.871373, Time  0.455255
2021-09-25 04:02:23.821902 : Epoch  4, Batch    170, Loss  0.874422, Average Loss  0.871440, Time  0.447553
2021-09-25 04:02:29.942293 : Epoch  4, Batch    171, Loss  0.883810, Average Loss  0.871468, Time  0.448126
2021-09-25 04:02:36.060126 : Epoch  4, Batch    172, Loss  0.863527, Average Loss  0.871470, Time  0.448317
2021-09-25 04:02:42.166481 : Epoch  4, Batch    173, Loss  0.872898, Average Loss  0.871463, Time  0.445885
2021-09-25 04:02:48.310678 : Epoch  4, Batch    174, Loss  0.868832, Average Loss  0.871385, Time  0.452650
2021-09-25 04:02:54.434096 : Epoch  4, Batch    175, Loss  0.868082, Average Loss  0.871379, Time  0.445852
2021-09-25 04:03:00.574793 : Epoch  4, Batch    176, Loss  0.859621, Average Loss  0.871411, Time  0.449156
2021-09-25 04:03:06.702332 : Epoch  4, Batch    177, Loss  0.875058, Average Loss  0.871432, Time  0.454497
2021-09-25 04:03:12.813753 : Epoch  4, Batch    178, Loss  0.867234, Average Loss  0.871402, Time  0.446515
2021-09-25 04:03:18.931202 : Epoch  4, Batch    179, Loss  0.853635, Average Loss  0.871278, Time  0.449764
2021-09-25 04:03:25.054066 : Epoch  4, Batch    180, Loss  0.861508, Average Loss  0.871253, Time  0.446836
2021-09-25 04:03:31.195901 : Epoch  4, Batch    181, Loss  0.865256, Average Loss  0.871200, Time  0.450485
2021-09-25 04:03:37.306735 : Epoch  4, Batch    182, Loss  0.892429, Average Loss  0.871297, Time  0.446978
2021-09-25 04:03:43.416643 : Epoch  4, Batch    183, Loss  0.854330, Average Loss  0.871170, Time  0.446963
2021-09-25 04:03:49.550446 : Epoch  4, Batch    184, Loss  0.882160, Average Loss  0.871249, Time  0.464147
2021-09-25 04:03:55.675837 : Epoch  4, Batch    185, Loss  0.880992, Average Loss  0.871340, Time  0.451102
2021-09-25 04:04:01.788499 : Epoch  4, Batch    186, Loss  0.858756, Average Loss  0.871287, Time  0.446718
2021-09-25 04:04:07.931890 : Epoch  4, Batch    187, Loss  0.876535, Average Loss  0.871308, Time  0.445551
2021-09-25 04:04:14.046685 : Epoch  4, Batch    188, Loss  0.860727, Average Loss  0.871314, Time  0.446089
2021-09-25 04:04:20.152105 : Epoch  4, Batch    189, Loss  0.871705, Average Loss  0.871295, Time  0.446218
2021-09-25 04:04:26.259018 : Epoch  4, Batch    190, Loss  0.861595, Average Loss  0.871228, Time  0.447727
2021-09-25 04:04:32.371645 : Epoch  4, Batch    191, Loss  0.867561, Average Loss  0.871153, Time  0.446301
2021-09-25 04:04:38.498944 : Epoch  4, Batch    192, Loss  0.863300, Average Loss  0.871113, Time  0.462336
2021-09-25 04:04:39.158385 : CheckPoint: Validation Loss  0.00015123, Best Loss  0.00014852
2021-09-25 04:04:44.632205 : Epoch  4, Batch    193, Loss  0.873095, Average Loss  0.871081, Time  0.447432
2021-09-25 04:04:45.203415 : Epoch  3, Batch    745, Loss  0.865940, Average Loss  0.872234, Time  0.446958
2021-09-25 04:04:50.767910 : Epoch  4, Batch    194, Loss  0.874055, Average Loss  0.871064, Time  0.448521
2021-09-25 04:04:51.267838 : Epoch  3, Batch    746, Loss  0.881369, Average Loss  0.872270, Time  0.446606
2021-09-25 04:04:56.919574 : Epoch  4, Batch    195, Loss  0.862344, Average Loss  0.871037, Time  0.448350
2021-09-25 04:04:57.325694 : Epoch  3, Batch    747, Loss  0.866745, Average Loss  0.872212, Time  0.445542
2021-09-25 04:05:03.046234 : Epoch  4, Batch    196, Loss  0.866098, Average Loss  0.870984, Time  0.447669
2021-09-25 04:05:03.373621 : Epoch  3, Batch    748, Loss  0.855817, Average Loss  0.872085, Time  0.445764
2021-09-25 04:05:09.183674 : Epoch  4, Batch    197, Loss  0.854849, Average Loss  0.870898, Time  0.449406
2021-09-25 04:05:09.444168 : Epoch  3, Batch    749, Loss  0.867083, Average Loss  0.872058, Time  0.445332
2021-09-25 04:05:15.293997 : Epoch  4, Batch    198, Loss  0.880079, Average Loss  0.870924, Time  0.446619
2021-09-25 04:05:15.492341 : Epoch  3, Batch    750, Loss  0.855975, Average Loss  0.872031, Time  0.460547
2021-09-25 04:05:21.439321 : Epoch  4, Batch    199, Loss  0.868305, Average Loss  0.870948, Time  0.463652
2021-09-25 04:05:21.541183 : Epoch  3, Batch    751, Loss  0.861397, Average Loss  0.871987, Time  0.447539
2021-09-25 04:05:27.549440 : Epoch  4, Batch    200, Loss  0.865192, Average Loss  0.870892, Time  0.448045
2021-09-25 04:05:27.615938 : Epoch  3, Batch    752, Loss  0.870014, Average Loss  0.871932, Time  0.447360
2021-09-25 04:05:33.669846 : Epoch  3, Batch    753, Loss  0.861320, Average Loss  0.871879, Time  0.446653
2021-09-25 04:05:33.709847 : Epoch  4, Batch    201, Loss  0.876903, Average Loss  0.870923, Time  0.446844
2021-09-25 04:05:39.726740 : Epoch  3, Batch    754, Loss  0.862285, Average Loss  0.871839, Time  0.446320
2021-09-25 04:05:39.842766 : Epoch  4, Batch    202, Loss  0.865259, Average Loss  0.870883, Time  0.449827
2021-09-25 04:05:45.792360 : Epoch  3, Batch    755, Loss  0.868143, Average Loss  0.871867, Time  0.445524
2021-09-25 04:05:45.981734 : Epoch  4, Batch    203, Loss  0.879231, Average Loss  0.870911, Time  0.448263
2021-09-25 04:05:51.859631 : Epoch  3, Batch    756, Loss  0.866477, Average Loss  0.871816, Time  0.446640
2021-09-25 04:05:52.103945 : Epoch  4, Batch    204, Loss  0.866653, Average Loss  0.870964, Time  0.447372
2021-09-25 04:05:57.925103 : Epoch  3, Batch    757, Loss  0.867833, Average Loss  0.871789, Time  0.460488
2021-09-25 04:05:58.212075 : Epoch  4, Batch    205, Loss  0.871289, Average Loss  0.870981, Time  0.446008
2021-09-25 04:06:03.999325 : Epoch  3, Batch    758, Loss  0.867264, Average Loss  0.871776, Time  0.448189
2021-09-25 04:06:04.336567 : Epoch  4, Batch    206, Loss  0.860339, Average Loss  0.870914, Time  0.452982
2021-09-25 04:06:10.059890 : Epoch  3, Batch    759, Loss  0.880581, Average Loss  0.871871, Time  0.449686
2021-09-25 04:06:10.467076 : Epoch  4, Batch    207, Loss  0.867358, Average Loss  0.870888, Time  0.460599
2021-09-25 04:06:16.115532 : Epoch  3, Batch    760, Loss  0.874894, Average Loss  0.871906, Time  0.446225
2021-09-25 04:06:16.584008 : Epoch  4, Batch    208, Loss  0.862288, Average Loss  0.870782, Time  0.446682
2021-09-25 04:06:22.162727 : Epoch  3, Batch    761, Loss  0.874860, Average Loss  0.871880, Time  0.449415
2021-09-25 04:06:22.683616 : Epoch  4, Batch    209, Loss  0.876249, Average Loss  0.870830, Time  0.446156
2021-09-25 04:06:28.238269 : Epoch  3, Batch    762, Loss  0.878204, Average Loss  0.871878, Time  0.448165
2021-09-25 04:06:28.804843 : Epoch  4, Batch    210, Loss  0.877831, Average Loss  0.870901, Time  0.445883
2021-09-25 04:06:34.302003 : Epoch  3, Batch    763, Loss  0.857659, Average Loss  0.871771, Time  0.446344
2021-09-25 04:06:34.916342 : Epoch  4, Batch    211, Loss  0.875769, Average Loss  0.870996, Time  0.445834
2021-09-25 04:06:40.353907 : Epoch  3, Batch    764, Loss  0.873047, Average Loss  0.871783, Time  0.445530
2021-09-25 04:06:41.024234 : Epoch  4, Batch    212, Loss  0.879067, Average Loss  0.871026, Time  0.446714
2021-09-25 04:06:46.422919 : Epoch  3, Batch    765, Loss  0.877939, Average Loss  0.871827, Time  0.457108
2021-09-25 04:06:47.147816 : Epoch  4, Batch    213, Loss  0.857361, Average Loss  0.870905, Time  0.449236
2021-09-25 04:06:52.475776 : Epoch  3, Batch    766, Loss  0.865573, Average Loss  0.871703, Time  0.445904
2021-09-25 04:06:53.261373 : Epoch  4, Batch    214, Loss  0.863705, Average Loss  0.870868, Time  0.460089
2021-09-25 04:06:58.539914 : Epoch  3, Batch    767, Loss  0.874962, Average Loss  0.871634, Time  0.452929
2021-09-25 04:06:59.394689 : Epoch  4, Batch    215, Loss  0.864011, Average Loss  0.870775, Time  0.448620
2021-09-25 04:07:04.612984 : Epoch  3, Batch    768, Loss  0.888388, Average Loss  0.871741, Time  0.446686
2021-09-25 04:07:10.707314 : Epoch  3, Batch    769, Loss  0.869424, Average Loss  0.871767, Time  0.450253
2021-09-25 04:07:13.532711 : Epoch  4, Batch    216, Loss  0.851599, Average Loss  0.870653, Time  0.447439
2021-09-25 04:07:16.801817 : Epoch  3, Batch    770, Loss  0.880769, Average Loss  0.871746, Time  0.449388
2021-09-25 04:07:22.869264 : Epoch  3, Batch    771, Loss  0.862603, Average Loss  0.871638, Time  0.447603
2021-09-25 04:07:28.955358 : Epoch  3, Batch    772, Loss  0.863422, Average Loss  0.871518, Time  0.463873
2021-09-25 04:07:35.045795 : Epoch  3, Batch    773, Loss  0.857347, Average Loss  0.871488, Time  0.446774
2021-09-25 04:07:41.118320 : Epoch  3, Batch    774, Loss  0.870677, Average Loss  0.871493, Time  0.446875
2021-09-25 04:07:47.179221 : Epoch  3, Batch    775, Loss  0.866882, Average Loss  0.871522, Time  0.447981
2021-09-25 04:07:53.223165 : Epoch  3, Batch    776, Loss  0.861571, Average Loss  0.871538, Time  0.448555
2021-09-25 04:07:59.284852 : Epoch  3, Batch    777, Loss  0.865733, Average Loss  0.871500, Time  0.446289
2021-09-25 04:08:05.355594 : Epoch  3, Batch    778, Loss  0.875903, Average Loss  0.871513, Time  0.449604
2021-09-25 04:08:11.422868 : Epoch  3, Batch    779, Loss  0.876876, Average Loss  0.871562, Time  0.446557
2021-09-25 04:08:17.488413 : Epoch  3, Batch    780, Loss  0.872683, Average Loss  0.871564, Time  0.454989
2021-09-25 04:08:23.546633 : Epoch  3, Batch    781, Loss  0.866226, Average Loss  0.871427, Time  0.446025
2021-09-25 04:08:29.614829 : Epoch  3, Batch    782, Loss  0.852931, Average Loss  0.871328, Time  0.446012
2021-09-25 04:08:35.655509 : Epoch  3, Batch    783, Loss  0.874886, Average Loss  0.871386, Time  0.446476
2021-09-25 04:08:41.713868 : Epoch  3, Batch    784, Loss  0.870664, Average Loss  0.871423, Time  0.445716
2021-09-25 04:08:47.768948 : Epoch  3, Batch    785, Loss  0.863733, Average Loss  0.871422, Time  0.446513
2021-09-25 04:08:53.817126 : Epoch  3, Batch    786, Loss  0.866550, Average Loss  0.871295, Time  0.446372
2021-09-25 04:08:59.896222 : Epoch  3, Batch    787, Loss  0.874826, Average Loss  0.871289, Time  0.457551
2021-09-25 04:09:05.970561 : Epoch  3, Batch    788, Loss  0.887213, Average Loss  0.871379, Time  0.449253
2021-09-25 04:09:12.045784 : Epoch  3, Batch    789, Loss  0.874327, Average Loss  0.871385, Time  0.446099
2021-09-25 04:09:18.114050 : Epoch  3, Batch    790, Loss  0.858444, Average Loss  0.871318, Time  0.449921
2021-09-25 04:09:24.178665 : Epoch  3, Batch    791, Loss  0.853389, Average Loss  0.871217, Time  0.446532
2021-09-25 04:09:30.249634 : Epoch  3, Batch    792, Loss  0.862760, Average Loss  0.871204, Time  0.447248
2021-09-25 04:09:36.309884 : Epoch  3, Batch    793, Loss  0.876114, Average Loss  0.871206, Time  0.446399
2021-09-25 04:09:42.376837 : Epoch  3, Batch    794, Loss  0.874919, Average Loss  0.871149, Time  0.448315
2021-09-25 04:09:48.427974 : Epoch  3, Batch    795, Loss  0.858786, Average Loss  0.871105, Time  0.455917
2021-09-25 04:09:54.487445 : Epoch  3, Batch    796, Loss  0.885799, Average Loss  0.871182, Time  0.447460
2021-09-25 04:10:00.561350 : Epoch  3, Batch    797, Loss  0.889807, Average Loss  0.871205, Time  0.445958
2021-09-25 04:10:06.636246 : Epoch  3, Batch    798, Loss  0.865221, Average Loss  0.871159, Time  0.447057
2021-09-25 04:10:12.701876 : Epoch  3, Batch    799, Loss  0.856897, Average Loss  0.870997, Time  0.447200
2021-09-25 04:10:18.745707 : Epoch  3, Batch    800, Loss  0.889385, Average Loss  0.871099, Time  0.445557
2021-09-25 04:10:24.820611 : Epoch  3, Batch    801, Loss  0.862657, Average Loss  0.871038, Time  0.445700
2021-09-25 04:10:30.886919 : Epoch  3, Batch    802, Loss  0.867910, Average Loss  0.870981, Time  0.462912
2021-09-25 04:10:36.936833 : Epoch  3, Batch    803, Loss  0.865855, Average Loss  0.870990, Time  0.445773
2021-09-25 04:10:42.993768 : Epoch  3, Batch    804, Loss  0.867136, Average Loss  0.870949, Time  0.447840
2021-09-25 04:10:49.045917 : Epoch  3, Batch    805, Loss  0.868321, Average Loss  0.870904, Time  0.449903
2021-09-25 04:10:55.094868 : Epoch  3, Batch    806, Loss  0.867941, Average Loss  0.870917, Time  0.446704
2021-09-25 04:11:01.149884 : Epoch  3, Batch    807, Loss  0.865922, Average Loss  0.870914, Time  0.447299
2021-09-25 04:11:07.222844 : Epoch  3, Batch    808, Loss  0.881397, Average Loss  0.871014, Time  0.449001
2021-09-25 04:11:13.266357 : Epoch  3, Batch    809, Loss  0.883324, Average Loss  0.871062, Time  0.448817
2021-09-25 04:11:19.323043 : Epoch  3, Batch    810, Loss  0.880901, Average Loss  0.870997, Time  0.454500
2021-09-25 04:11:25.380492 : Epoch  3, Batch    811, Loss  0.866252, Average Loss  0.871026, Time  0.445768
2021-09-25 04:11:31.464860 : Epoch  3, Batch    812, Loss  0.883536, Average Loss  0.871176, Time  0.446208
2021-09-25 04:11:37.506759 : Epoch  3, Batch    813, Loss  0.860291, Average Loss  0.871089, Time  0.445306
2021-09-25 04:11:43.551628 : Epoch  3, Batch    814, Loss  0.878713, Average Loss  0.871155, Time  0.444896
2021-09-25 04:11:49.599597 : Epoch  3, Batch    815, Loss  0.857383, Average Loss  0.871017, Time  0.445795
2021-09-25 04:11:55.663846 : Epoch  3, Batch    816, Loss  0.871448, Average Loss  0.870971, Time  0.450294
2021-09-25 04:12:01.739243 : Epoch  3, Batch    817, Loss  0.882011, Average Loss  0.870987, Time  0.459120
2021-09-25 04:12:02.991820 : CheckPoint: Validation Loss  0.00015257, Best Loss  0.00014886
2021-09-25 04:12:07.789374 : Epoch  3, Batch    818, Loss  0.875907, Average Loss  0.871029, Time  0.447907
2021-09-25 04:12:09.135153 : Epoch  4, Batch    217, Loss  0.870785, Average Loss  0.870583, Time  0.447541
2021-09-25 04:12:13.850570 : Epoch  3, Batch    819, Loss  0.874056, Average Loss  0.871080, Time  0.446896
2021-09-25 04:12:15.285547 : Epoch  4, Batch    218, Loss  0.881772, Average Loss  0.870579, Time  0.460701
2021-09-25 04:12:19.904933 : Epoch  3, Batch    820, Loss  0.867973, Average Loss  0.871145, Time  0.447881
2021-09-25 04:12:21.427769 : Epoch  4, Batch    219, Loss  0.876806, Average Loss  0.870605, Time  0.447722
2021-09-25 04:12:26.013989 : Epoch  3, Batch    821, Loss  0.864765, Average Loss  0.871123, Time  0.445968
2021-09-25 04:12:27.563632 : Epoch  4, Batch    220, Loss  0.846385, Average Loss  0.870487, Time  0.448478
2021-09-25 04:12:32.065878 : Epoch  3, Batch    822, Loss  0.872105, Average Loss  0.871154, Time  0.446121
2021-09-25 04:12:33.704205 : Epoch  4, Batch    221, Loss  0.868403, Average Loss  0.870461, Time  0.447346
2021-09-25 04:12:38.145220 : Epoch  3, Batch    823, Loss  0.873500, Average Loss  0.871139, Time  0.445531
2021-09-25 04:12:39.856203 : Epoch  4, Batch    222, Loss  0.863418, Average Loss  0.870416, Time  0.446721
2021-09-25 04:12:44.223056 : Epoch  3, Batch    824, Loss  0.885201, Average Loss  0.871229, Time  0.446640
2021-09-25 04:12:46.016277 : Epoch  4, Batch    223, Loss  0.873369, Average Loss  0.870344, Time  0.446801
2021-09-25 04:12:50.308898 : Epoch  3, Batch    825, Loss  0.862502, Average Loss  0.871183, Time  0.460401
2021-09-25 04:12:52.182445 : Epoch  4, Batch    224, Loss  0.884249, Average Loss  0.870448, Time  0.446141
2021-09-25 04:12:56.364028 : Epoch  3, Batch    826, Loss  0.867814, Average Loss  0.871125, Time  0.446307
2021-09-25 04:12:58.296421 : Epoch  4, Batch    225, Loss  0.882374, Average Loss  0.870526, Time  0.447336
2021-09-25 04:13:02.410508 : Epoch  3, Batch    827, Loss  0.873796, Average Loss  0.871068, Time  0.447117
2021-09-25 04:13:04.462951 : Epoch  4, Batch    226, Loss  0.872989, Average Loss  0.870545, Time  0.459124
2021-09-25 04:13:08.493838 : Epoch  3, Batch    828, Loss  0.882106, Average Loss  0.871060, Time  0.447868
2021-09-25 04:13:10.589546 : Epoch  4, Batch    227, Loss  0.877970, Average Loss  0.870569, Time  0.446113
2021-09-25 04:13:14.537318 : Epoch  3, Batch    829, Loss  0.876900, Average Loss  0.871083, Time  0.446573
2021-09-25 04:13:16.711737 : Epoch  4, Batch    228, Loss  0.872962, Average Loss  0.870652, Time  0.447233
2021-09-25 04:13:20.596017 : Epoch  3, Batch    830, Loss  0.867287, Average Loss  0.871111, Time  0.446196
2021-09-25 04:13:22.864652 : Epoch  4, Batch    229, Loss  0.874559, Average Loss  0.870662, Time  0.446383
2021-09-25 04:13:26.659921 : Epoch  3, Batch    831, Loss  0.867682, Average Loss  0.871100, Time  0.447900
2021-09-25 04:13:28.990546 : Epoch  4, Batch    230, Loss  0.860998, Average Loss  0.870729, Time  0.447554
2021-09-25 04:13:32.735735 : Epoch  3, Batch    832, Loss  0.865800, Average Loss  0.871164, Time  0.462737
2021-09-25 04:13:35.144422 : Epoch  4, Batch    231, Loss  0.855884, Average Loss  0.870609, Time  0.447830
2021-09-25 04:13:38.873932 : Epoch  3, Batch    833, Loss  0.878062, Average Loss  0.871160, Time  0.473442
2021-09-25 04:13:41.269606 : Epoch  4, Batch    232, Loss  0.871023, Average Loss  0.870639, Time  0.446890
2021-09-25 04:13:44.982534 : Epoch  3, Batch    834, Loss  0.868277, Average Loss  0.871172, Time  0.450761
2021-09-25 04:13:47.424641 : Epoch  4, Batch    233, Loss  0.866835, Average Loss  0.870557, Time  0.458357
2021-09-25 04:13:51.059068 : Epoch  3, Batch    835, Loss  0.875689, Average Loss  0.871209, Time  0.452904
2021-09-25 04:13:51.954816 : Epoch  4, Batch    234, Loss  0.859004, Average Loss  0.870479, Time  0.353203
2021-09-25 04:13:57.132694 : Epoch  3, Batch    836, Loss  0.866333, Average Loss  0.871191, Time  0.447105
2021-09-25 04:13:58.104920 : Epoch  4, Batch    235, Loss  0.871430, Average Loss  0.870550, Time  0.445652
2021-09-25 04:14:03.187903 : Epoch  3, Batch    837, Loss  0.862932, Average Loss  0.871115, Time  0.445839
2021-09-25 04:14:04.266317 : Epoch  4, Batch    236, Loss  0.858293, Average Loss  0.870559, Time  0.445914
2021-09-25 04:14:09.268092 : Epoch  3, Batch    838, Loss  0.873304, Average Loss  0.871139, Time  0.450424
2021-09-25 04:14:10.419250 : Epoch  4, Batch    237, Loss  0.875430, Average Loss  0.870529, Time  0.445766
2021-09-25 04:14:15.311594 : Epoch  3, Batch    839, Loss  0.861774, Average Loss  0.871019, Time  0.446572
2021-09-25 04:14:16.563525 : Epoch  4, Batch    238, Loss  0.864304, Average Loss  0.870426, Time  0.446155
2021-09-25 04:14:21.396717 : Epoch  3, Batch    840, Loss  0.869826, Average Loss  0.871011, Time  0.459526
2021-09-25 04:14:22.713904 : Epoch  4, Batch    239, Loss  0.875111, Average Loss  0.870505, Time  0.450015
2021-09-25 04:14:27.462814 : Epoch  3, Batch    841, Loss  0.863870, Average Loss  0.870911, Time  0.448845
2021-09-25 04:14:28.839470 : Epoch  4, Batch    240, Loss  0.860704, Average Loss  0.870518, Time  0.451469
2021-09-25 04:14:33.519049 : Epoch  3, Batch    842, Loss  0.872051, Average Loss  0.870856, Time  0.445005
2021-09-25 04:14:35.016175 : Epoch  4, Batch    241, Loss  0.889199, Average Loss  0.870615, Time  0.460761
2021-09-25 04:14:39.576729 : Epoch  3, Batch    843, Loss  0.871076, Average Loss  0.870898, Time  0.446105
2021-09-25 04:14:41.159811 : Epoch  4, Batch    242, Loss  0.875869, Average Loss  0.870599, Time  0.446737
2021-09-25 04:14:45.634839 : Epoch  3, Batch    844, Loss  0.871355, Average Loss  0.870916, Time  0.447322
2021-09-25 04:14:47.297145 : Epoch  4, Batch    243, Loss  0.877811, Average Loss  0.870605, Time  0.451047
2021-09-25 04:14:53.459339 : Epoch  4, Batch    244, Loss  0.867793, Average Loss  0.870598, Time  0.450613
2021-09-25 04:14:59.627890 : Epoch  4, Batch    245, Loss  0.880711, Average Loss  0.870644, Time  0.448359
2021-09-25 04:15:05.788802 : Epoch  4, Batch    246, Loss  0.866369, Average Loss  0.870675, Time  0.446668
2021-09-25 04:15:11.946794 : Epoch  4, Batch    247, Loss  0.861557, Average Loss  0.870611, Time  0.446421
2021-09-25 04:15:18.078862 : Epoch  4, Batch    248, Loss  0.868235, Average Loss  0.870561, Time  0.452000
2021-09-25 04:15:24.227742 : Epoch  4, Batch    249, Loss  0.868167, Average Loss  0.870579, Time  0.446537
2021-09-25 04:15:30.407644 : Epoch  4, Batch    250, Loss  0.869748, Average Loss  0.870664, Time  0.448188
2021-09-25 04:15:36.580754 : Epoch  4, Batch    251, Loss  0.876193, Average Loss  0.870722, Time  0.452417
2021-09-25 04:15:42.745435 : Epoch  4, Batch    252, Loss  0.879147, Average Loss  0.870801, Time  0.448707
2021-09-25 04:15:48.910765 : Epoch  4, Batch    253, Loss  0.848126, Average Loss  0.870665, Time  0.446533
2021-09-25 04:15:55.044734 : Epoch  4, Batch    254, Loss  0.866660, Average Loss  0.870653, Time  0.446062
2021-09-25 04:16:01.187804 : Epoch  4, Batch    255, Loss  0.876837, Average Loss  0.870756, Time  0.445999
2021-09-25 04:16:07.354428 : Epoch  4, Batch    256, Loss  0.888396, Average Loss  0.870896, Time  0.457286
2021-09-25 04:16:13.502930 : Epoch  4, Batch    257, Loss  0.848940, Average Loss  0.870853, Time  0.446893
2021-09-25 04:16:19.604705 : Epoch  4, Batch    258, Loss  0.884018, Average Loss  0.870875, Time  0.446405
2021-09-25 04:16:25.722210 : Epoch  4, Batch    259, Loss  0.850574, Average Loss  0.870727, Time  0.446599
2021-09-25 04:16:31.858511 : Epoch  4, Batch    260, Loss  0.863767, Average Loss  0.870639, Time  0.449380
2021-09-25 04:16:37.952734 : Epoch  4, Batch    261, Loss  0.863257, Average Loss  0.870646, Time  0.446484
2021-09-25 04:16:44.071866 : Epoch  4, Batch    262, Loss  0.862090, Average Loss  0.870643, Time  0.447943
2021-09-25 04:16:50.198675 : Epoch  4, Batch    263, Loss  0.862458, Average Loss  0.870613, Time  0.461564
2021-09-25 04:16:56.316666 : Epoch  4, Batch    264, Loss  0.867202, Average Loss  0.870667, Time  0.446478
2021-09-25 04:17:02.417475 : Epoch  4, Batch    265, Loss  0.885724, Average Loss  0.870745, Time  0.447468
2021-09-25 04:17:08.512917 : Epoch  4, Batch    266, Loss  0.869242, Average Loss  0.870737, Time  0.446224
2021-09-25 04:17:14.622038 : Epoch  4, Batch    267, Loss  0.860756, Average Loss  0.870642, Time  0.446488
2021-09-25 04:17:20.726992 : Epoch  4, Batch    268, Loss  0.882974, Average Loss  0.870687, Time  0.445324
2021-09-25 04:17:26.830761 : Epoch  4, Batch    269, Loss  0.858492, Average Loss  0.870584, Time  0.449016
2021-09-25 04:17:32.953150 : Epoch  4, Batch    270, Loss  0.874398, Average Loss  0.870615, Time  0.447372
2021-09-25 04:17:39.081443 : Epoch  4, Batch    271, Loss  0.868321, Average Loss  0.870646, Time  0.458874
2021-09-25 04:17:45.237132 : Epoch  4, Batch    272, Loss  0.870565, Average Loss  0.870594, Time  0.457089
2021-09-25 04:17:51.347974 : Epoch  4, Batch    273, Loss  0.877676, Average Loss  0.870679, Time  0.446660
2021-09-25 04:17:57.443873 : Epoch  4, Batch    274, Loss  0.869821, Average Loss  0.870651, Time  0.447524
2021-09-25 04:18:03.546728 : Epoch  4, Batch    275, Loss  0.863612, Average Loss  0.870694, Time  0.448619
2021-09-25 04:18:09.653551 : Epoch  4, Batch    276, Loss  0.864339, Average Loss  0.870670, Time  0.445696
2021-09-25 04:18:15.767219 : Epoch  4, Batch    277, Loss  0.865452, Average Loss  0.870588, Time  0.446520
2021-09-25 04:18:21.891107 : Epoch  4, Batch    278, Loss  0.862543, Average Loss  0.870461, Time  0.454502
2021-09-25 04:18:28.033242 : Epoch  4, Batch    279, Loss  0.869225, Average Loss  0.870393, Time  0.449123
2021-09-25 04:18:34.161571 : Epoch  4, Batch    280, Loss  0.880332, Average Loss  0.870408, Time  0.448436
2021-09-25 04:18:40.258608 : Epoch  4, Batch    281, Loss  0.859064, Average Loss  0.870322, Time  0.447569
2021-09-25 04:18:46.372784 : Epoch  4, Batch    282, Loss  0.875769, Average Loss  0.870302, Time  0.446547
2021-09-25 04:18:52.470732 : Epoch  4, Batch    283, Loss  0.853206, Average Loss  0.870207, Time  0.448070
2021-09-25 04:18:58.573116 : Epoch  4, Batch    284, Loss  0.866942, Average Loss  0.870197, Time  0.448158
2021-09-25 04:19:04.687316 : Epoch  4, Batch    285, Loss  0.869044, Average Loss  0.870273, Time  0.446886
2021-09-25 04:19:10.824081 : Epoch  4, Batch    286, Loss  0.870826, Average Loss  0.870220, Time  0.456023
2021-09-25 04:19:16.931340 : Epoch  4, Batch    287, Loss  0.862200, Average Loss  0.870152, Time  0.445980
2021-09-25 04:19:23.047469 : Epoch  4, Batch    288, Loss  0.874217, Average Loss  0.870129, Time  0.449796
2021-09-25 04:19:29.152039 : Epoch  4, Batch    289, Loss  0.883459, Average Loss  0.870230, Time  0.445857
2021-09-25 04:19:33.225863 : CheckPoint: Validation Loss  0.00015166, Best Loss  0.00014852
2021-09-25 04:19:35.277938 : Epoch  4, Batch    290, Loss  0.884960, Average Loss  0.870345, Time  0.451152
2021-09-25 04:19:39.291828 : Epoch  3, Batch    845, Loss  0.857490, Average Loss  0.870925, Time  0.458892
2021-09-25 04:19:41.424527 : Epoch  4, Batch    291, Loss  0.873063, Average Loss  0.870318, Time  0.449702
2021-09-25 04:19:45.374612 : Epoch  3, Batch    846, Loss  0.863862, Average Loss  0.870873, Time  0.451392
2021-09-25 04:19:47.548593 : Epoch  4, Batch    292, Loss  0.859675, Average Loss  0.870207, Time  0.449254
2021-09-25 04:19:51.440625 : Epoch  3, Batch    847, Loss  0.878544, Average Loss  0.870914, Time  0.446363
2021-09-25 04:19:53.702394 : Epoch  4, Batch    293, Loss  0.894815, Average Loss  0.870358, Time  0.467518
2021-09-25 04:19:57.505451 : Epoch  3, Batch    848, Loss  0.872485, Average Loss  0.870918, Time  0.446861
2021-09-25 04:19:59.814116 : Epoch  4, Batch    294, Loss  0.865763, Average Loss  0.870449, Time  0.446496
2021-09-25 04:20:03.585594 : Epoch  3, Batch    849, Loss  0.862807, Average Loss  0.870810, Time  0.445251
2021-09-25 04:20:05.918127 : Epoch  4, Batch    295, Loss  0.856600, Average Loss  0.870303, Time  0.446318
2021-09-25 04:20:09.686409 : Epoch  3, Batch    850, Loss  0.871336, Average Loss  0.870884, Time  0.449215
2021-09-25 04:20:12.038951 : Epoch  4, Batch    296, Loss  0.880804, Average Loss  0.870426, Time  0.448541
2021-09-25 04:20:15.758916 : Epoch  3, Batch    851, Loss  0.881465, Average Loss  0.870917, Time  0.445218
2021-09-25 04:20:18.168054 : Epoch  4, Batch    297, Loss  0.867263, Average Loss  0.870424, Time  0.447977
2021-09-25 04:20:21.858278 : Epoch  3, Batch    852, Loss  0.880627, Average Loss  0.870973, Time  0.448341
2021-09-25 04:20:24.285151 : Epoch  4, Batch    298, Loss  0.880047, Average Loss  0.870414, Time  0.446885
2021-09-25 04:20:27.962522 : Epoch  3, Batch    853, Loss  0.868540, Average Loss  0.871050, Time  0.459605
2021-09-25 04:20:30.397863 : Epoch  4, Batch    299, Loss  0.876875, Average Loss  0.870399, Time  0.446001
2021-09-25 04:20:34.038464 : Epoch  3, Batch    854, Loss  0.876225, Average Loss  0.871051, Time  0.445902
2021-09-25 04:20:36.532110 : Epoch  4, Batch    300, Loss  0.877245, Average Loss  0.870413, Time  0.448063
2021-09-25 04:20:40.142033 : Epoch  3, Batch    855, Loss  0.867402, Average Loss  0.871076, Time  0.448563
2021-09-25 04:20:42.661148 : Epoch  4, Batch    301, Loss  0.869945, Average Loss  0.870344, Time  0.461037
2021-09-25 04:20:46.233401 : Epoch  3, Batch    856, Loss  0.876795, Average Loss  0.871138, Time  0.447026
2021-09-25 04:20:48.789915 : Epoch  4, Batch    302, Loss  0.867539, Average Loss  0.870297, Time  0.449516
2021-09-25 04:20:52.335056 : Epoch  3, Batch    857, Loss  0.882540, Average Loss  0.871229, Time  0.452711
2021-09-25 04:20:54.917031 : Epoch  4, Batch    303, Loss  0.862178, Average Loss  0.870204, Time  0.446105
2021-09-25 04:20:58.416557 : Epoch  3, Batch    858, Loss  0.867739, Average Loss  0.871220, Time  0.448858
2021-09-25 04:21:01.049350 : Epoch  4, Batch    304, Loss  0.873555, Average Loss  0.870263, Time  0.447229
2021-09-25 04:21:04.486609 : Epoch  3, Batch    859, Loss  0.872344, Average Loss  0.871203, Time  0.447125
2021-09-25 04:21:07.181580 : Epoch  4, Batch    305, Loss  0.877107, Average Loss  0.870339, Time  0.449964
2021-09-25 04:21:10.577279 : Epoch  3, Batch    860, Loss  0.890180, Average Loss  0.871309, Time  0.458277
2021-09-25 04:21:13.307537 : Epoch  4, Batch    306, Loss  0.871648, Average Loss  0.870333, Time  0.448013
2021-09-25 04:21:16.670821 : Epoch  3, Batch    861, Loss  0.871085, Average Loss  0.871302, Time  0.447237
2021-09-25 04:21:19.425624 : Epoch  4, Batch    307, Loss  0.866894, Average Loss  0.870361, Time  0.448678
2021-09-25 04:21:22.748849 : Epoch  3, Batch    862, Loss  0.868999, Average Loss  0.871300, Time  0.445493
2021-09-25 04:21:25.543659 : Epoch  4, Batch    308, Loss  0.865367, Average Loss  0.870314, Time  0.455072
2021-09-25 04:21:28.825287 : Epoch  3, Batch    863, Loss  0.881993, Average Loss  0.871350, Time  0.447509
2021-09-25 04:21:31.661999 : Epoch  4, Batch    309, Loss  0.873911, Average Loss  0.870351, Time  0.449598
2021-09-25 04:21:34.901101 : Epoch  3, Batch    864, Loss  0.887852, Average Loss  0.871385, Time  0.448966
2021-09-25 04:21:37.789886 : Epoch  4, Batch    310, Loss  0.863938, Average Loss  0.870283, Time  0.449687
2021-09-25 04:21:40.990622 : Epoch  3, Batch    865, Loss  0.867903, Average Loss  0.871348, Time  0.449041
2021-09-25 04:21:43.913929 : Epoch  4, Batch    311, Loss  0.859626, Average Loss  0.870293, Time  0.447351
2021-09-25 04:21:47.102522 : Epoch  3, Batch    866, Loss  0.877090, Average Loss  0.871302, Time  0.448665
2021-09-25 04:21:50.024060 : Epoch  4, Batch    312, Loss  0.870532, Average Loss  0.870278, Time  0.446527
2021-09-25 04:21:53.191842 : Epoch  3, Batch    867, Loss  0.860673, Average Loss  0.871231, Time  0.447301
2021-09-25 04:21:56.121830 : Epoch  4, Batch    313, Loss  0.863349, Average Loss  0.870214, Time  0.447923
2021-09-25 04:21:59.280290 : Epoch  3, Batch    868, Loss  0.874966, Average Loss  0.871303, Time  0.462364
2021-09-25 04:22:02.266863 : Epoch  4, Batch    314, Loss  0.875274, Average Loss  0.870281, Time  0.450262
2021-09-25 04:22:05.364292 : Epoch  3, Batch    869, Loss  0.872689, Average Loss  0.871266, Time  0.446512
2021-09-25 04:22:08.393816 : Epoch  4, Batch    315, Loss  0.871716, Average Loss  0.870238, Time  0.450675
2021-09-25 04:22:11.439497 : Epoch  3, Batch    870, Loss  0.876669, Average Loss  0.871329, Time  0.450101
2021-09-25 04:22:14.525977 : Epoch  4, Batch    316, Loss  0.873607, Average Loss  0.870239, Time  0.456676
2021-09-25 04:22:17.506212 : Epoch  3, Batch    871, Loss  0.867495, Average Loss  0.871369, Time  0.446568
2021-09-25 04:22:23.601923 : Epoch  3, Batch    872, Loss  0.865540, Average Loss  0.871235, Time  0.447607
2021-09-25 04:22:29.685810 : Epoch  3, Batch    873, Loss  0.860760, Average Loss  0.871098, Time  0.448841
2021-09-25 04:22:35.737606 : Epoch  3, Batch    874, Loss  0.884909, Average Loss  0.871177, Time  0.445669
2021-09-25 04:22:41.818923 : Epoch  3, Batch    875, Loss  0.874035, Average Loss  0.871174, Time  0.457896
2021-09-25 04:22:47.889681 : Epoch  3, Batch    876, Loss  0.869715, Average Loss  0.871042, Time  0.447909
2021-09-25 04:22:53.969854 : Epoch  3, Batch    877, Loss  0.865977, Average Loss  0.871055, Time  0.454346
2021-09-25 04:23:00.029931 : Epoch  3, Batch    878, Loss  0.863179, Average Loss  0.871089, Time  0.445988
2021-09-25 04:23:06.095920 : Epoch  3, Batch    879, Loss  0.862031, Average Loss  0.870982, Time  0.447582
2021-09-25 04:23:12.179817 : Epoch  3, Batch    880, Loss  0.866708, Average Loss  0.871034, Time  0.447359
2021-09-25 04:23:18.264349 : Epoch  3, Batch    881, Loss  0.865537, Average Loss  0.871035, Time  0.475856
2021-09-25 04:23:24.406779 : Epoch  3, Batch    882, Loss  0.873037, Average Loss  0.871059, Time  0.489390
2021-09-25 04:23:30.455816 : Epoch  3, Batch    883, Loss  0.880580, Average Loss  0.871047, Time  0.484716
2021-09-25 04:23:36.532325 : Epoch  3, Batch    884, Loss  0.865329, Average Loss  0.870976, Time  0.473748
2021-09-25 04:23:42.418154 : Epoch  3, Batch    885, Loss  0.887146, Average Loss  0.871116, Time  0.449945
2021-09-25 04:23:48.345690 : Epoch  3, Batch    886, Loss  0.869731, Average Loss  0.871153, Time  0.448405
2021-09-25 04:23:54.157235 : Epoch  3, Batch    887, Loss  0.868024, Average Loss  0.871083, Time  0.444417
2021-09-25 04:23:59.984817 : Epoch  3, Batch    888, Loss  0.869267, Average Loss  0.871095, Time  0.443511
2021-09-25 04:24:06.058741 : Epoch  3, Batch    889, Loss  0.869602, Average Loss  0.871087, Time  0.475400
2021-09-25 04:24:11.938479 : Epoch  3, Batch    890, Loss  0.875538, Average Loss  0.871107, Time  0.449131
2021-09-25 04:24:17.747123 : Epoch  3, Batch    891, Loss  0.865979, Average Loss  0.871106, Time  0.455847
2021-09-25 04:24:23.652253 : Epoch  3, Batch    892, Loss  0.869346, Average Loss  0.871039, Time  0.449853
2021-09-25 04:24:29.743803 : Epoch  3, Batch    893, Loss  0.879804, Average Loss  0.871098, Time  0.472191
2021-09-25 04:24:35.874014 : Epoch  3, Batch    894, Loss  0.859159, Average Loss  0.871063, Time  0.475060
2021-09-25 04:24:41.951006 : Epoch  3, Batch    895, Loss  0.852746, Average Loss  0.870969, Time  0.471193
2021-09-25 04:24:48.004507 : Epoch  3, Batch    896, Loss  0.866205, Average Loss  0.870906, Time  0.473518
2021-09-25 04:24:54.133249 : Epoch  3, Batch    897, Loss  0.875064, Average Loss  0.870993, Time  0.474201
2021-09-25 04:25:00.202026 : Epoch  3, Batch    898, Loss  0.879056, Average Loss  0.870985, Time  0.481676
2021-09-25 04:25:06.222403 : Epoch  3, Batch    899, Loss  0.872690, Average Loss  0.871047, Time  0.470783
2021-09-25 04:25:12.258297 : Epoch  3, Batch    900, Loss  0.875103, Average Loss  0.871056, Time  0.473762
2021-09-25 04:25:18.362154 : Epoch  3, Batch    901, Loss  0.883045, Average Loss  0.871126, Time  0.471991
2021-09-25 04:25:24.364112 : Epoch  3, Batch    902, Loss  0.888389, Average Loss  0.871203, Time  0.447674
2021-09-25 04:25:30.150615 : Epoch  3, Batch    903, Loss  0.877822, Average Loss  0.871261, Time  0.449394
2021-09-25 04:25:36.019563 : Epoch  3, Batch    904, Loss  0.858171, Average Loss  0.871231, Time  0.445784
2021-09-25 04:25:41.831903 : Epoch  3, Batch    905, Loss  0.885814, Average Loss  0.871244, Time  0.442366
2021-09-25 04:25:47.692228 : Epoch  3, Batch    906, Loss  0.870516, Average Loss  0.871225, Time  0.454337
2021-09-25 04:25:53.800294 : Epoch  3, Batch    907, Loss  0.874918, Average Loss  0.871251, Time  0.472890
2021-09-25 04:25:59.897823 : Epoch  3, Batch    908, Loss  0.854574, Average Loss  0.871163, Time  0.469562
2021-09-25 04:26:05.970164 : Epoch  3, Batch    909, Loss  0.862679, Average Loss  0.871069, Time  0.477674
2021-09-25 04:26:12.090758 : Epoch  3, Batch    910, Loss  0.873499, Average Loss  0.871116, Time  0.473114
2021-09-25 04:26:18.223785 : Epoch  3, Batch    911, Loss  0.866464, Average Loss  0.871062, Time  0.477688
2021-09-25 04:26:24.339696 : Epoch  3, Batch    912, Loss  0.861318, Average Loss  0.870943, Time  0.473288
2021-09-25 04:26:30.284086 : Epoch  3, Batch    913, Loss  0.864494, Average Loss  0.870922, Time  0.459004
2021-09-25 04:26:36.228272 : Epoch  3, Batch    914, Loss  0.864432, Average Loss  0.870866, Time  0.445641
2021-09-25 04:26:42.064894 : Epoch  3, Batch    915, Loss  0.863351, Average Loss  0.870758, Time  0.448885
2021-09-25 04:26:48.080014 : Epoch  3, Batch    916, Loss  0.877261, Average Loss  0.870736, Time  0.472356
2021-09-25 04:26:51.695270 : CheckPoint: Validation Loss  0.00014996, Best Loss  0.00014886
2021-09-25 04:26:54.169948 : Epoch  3, Batch    917, Loss  0.867899, Average Loss  0.870726, Time  0.469842
2021-09-25 04:26:57.631969 : Epoch  4, Batch    317, Loss  0.859804, Average Loss  0.870184, Time  0.448341
2021-09-25 04:27:00.071118 : Epoch  3, Batch    918, Loss  0.877990, Average Loss  0.870785, Time  0.471535
2021-09-25 04:27:03.469037 : Epoch  4, Batch    318, Loss  0.871983, Average Loss  0.870207, Time  0.446570
2021-09-25 04:27:06.185653 : Epoch  3, Batch    919, Loss  0.860957, Average Loss  0.870732, Time  0.470480
2021-09-25 04:27:09.235793 : Epoch  4, Batch    319, Loss  0.858669, Average Loss  0.870166, Time  0.444655
2021-09-25 04:27:12.217191 : Epoch  3, Batch    920, Loss  0.870409, Average Loss  0.870758, Time  0.472708
2021-09-25 04:27:15.071909 : Epoch  4, Batch    320, Loss  0.870437, Average Loss  0.870211, Time  0.447297
2021-09-25 04:27:18.280950 : Epoch  3, Batch    921, Loss  0.873083, Average Loss  0.870778, Time  0.481685
2021-09-25 04:27:20.874619 : Epoch  4, Batch    321, Loss  0.867438, Average Loss  0.870194, Time  0.444779
2021-09-25 04:27:24.237940 : Epoch  3, Batch    922, Loss  0.865162, Average Loss  0.870708, Time  0.473772
2021-09-25 04:27:26.813224 : Epoch  4, Batch    322, Loss  0.871748, Average Loss  0.870235, Time  0.444237
2021-09-25 04:27:30.263241 : Epoch  3, Batch    923, Loss  0.874132, Average Loss  0.870671, Time  0.470233
2021-09-25 04:27:32.606298 : Epoch  4, Batch    323, Loss  0.867348, Average Loss  0.870146, Time  0.446443
2021-09-25 04:27:36.323919 : Epoch  3, Batch    924, Loss  0.873649, Average Loss  0.870682, Time  0.472361
2021-09-25 04:27:38.360160 : Epoch  4, Batch    324, Loss  0.875255, Average Loss  0.870156, Time  0.455781
2021-09-25 04:27:42.319922 : Epoch  3, Batch    925, Loss  0.873165, Average Loss  0.870708, Time  0.469091
2021-09-25 04:27:44.253353 : Epoch  4, Batch    325, Loss  0.872962, Average Loss  0.870115, Time  0.443610
2021-09-25 04:27:48.429248 : Epoch  3, Batch    926, Loss  0.886684, Average Loss  0.870787, Time  0.473409
2021-09-25 04:27:50.031531 : Epoch  4, Batch    326, Loss  0.863100, Average Loss  0.870064, Time  0.444504
2021-09-25 04:27:54.546501 : Epoch  3, Batch    927, Loss  0.872451, Average Loss  0.870794, Time  0.450101
2021-09-25 04:27:55.892976 : Epoch  4, Batch    327, Loss  0.881001, Average Loss  0.870045, Time  0.444111
2021-09-25 04:28:00.610657 : Epoch  3, Batch    928, Loss  0.872386, Average Loss  0.870808, Time  0.465035
2021-09-25 04:28:00.638678 : Saving Model after 3-th Epoch.
2021-09-25 04:28:01.156902 : Epoch Finished.
2021-09-25 04:28:01.735307 : Epoch  4, Batch    328, Loss  0.877351, Average Loss  0.870038, Time  0.445246
2021-09-25 04:28:07.712242 : Epoch  4, Batch    329, Loss  0.871249, Average Loss  0.870077, Time  0.446269
2021-09-25 04:28:11.201137 : Batch Shuffled
2021-09-25 04:28:13.662257 : Epoch  4, Batch    330, Loss  0.871005, Average Loss  0.870073, Time  0.446877
2021-09-25 04:28:17.285897 : Epoch  4, Batch      1, Loss  0.879961, Average Loss  0.870756, Time  0.456614
2021-09-25 04:28:19.592854 : Epoch  4, Batch    331, Loss  0.880061, Average Loss  0.870116, Time  0.444722
2021-09-25 04:28:23.206125 : Epoch  4, Batch      2, Loss  0.866183, Average Loss  0.870722, Time  0.455721
2021-09-25 04:28:25.511857 : Epoch  4, Batch    332, Loss  0.859925, Average Loss  0.869996, Time  0.454956
2021-09-25 04:28:29.085985 : Epoch  4, Batch      3, Loss  0.861818, Average Loss  0.870784, Time  0.450642
2021-09-25 04:28:31.455079 : Epoch  4, Batch    333, Loss  0.863568, Average Loss  0.869983, Time  0.446555
2021-09-25 04:28:35.041455 : Epoch  4, Batch      4, Loss  0.870561, Average Loss  0.870816, Time  0.448755
2021-09-25 04:28:37.403935 : Epoch  4, Batch    334, Loss  0.872464, Average Loss  0.869985, Time  0.447376
2021-09-25 04:28:41.072132 : Epoch  4, Batch      5, Loss  0.873808, Average Loss  0.870792, Time  0.450280
2021-09-25 04:28:43.387785 : Epoch  4, Batch    335, Loss  0.863089, Average Loss  0.869907, Time  0.446862
2021-09-25 04:28:46.995383 : Epoch  4, Batch      6, Loss  0.870883, Average Loss  0.870786, Time  0.453528
2021-09-25 04:28:49.279849 : Epoch  4, Batch    336, Loss  0.870313, Average Loss  0.869906, Time  0.447215
2021-09-25 04:28:52.842450 : Epoch  4, Batch      7, Loss  0.877257, Average Loss  0.870849, Time  0.448539
2021-09-25 04:28:55.204970 : Epoch  4, Batch    337, Loss  0.875010, Average Loss  0.869966, Time  0.446907
2021-09-25 04:28:58.728561 : Epoch  4, Batch      8, Loss  0.873895, Average Loss  0.870863, Time  0.444429
2021-09-25 04:29:01.030445 : Epoch  4, Batch    338, Loss  0.878977, Average Loss  0.870025, Time  0.446468
2021-09-25 04:29:04.519559 : Epoch  4, Batch      9, Loss  0.883594, Average Loss  0.870873, Time  0.444255
2021-09-25 04:29:06.859422 : Epoch  4, Batch    339, Loss  0.862408, Average Loss  0.869953, Time  0.445328
2021-09-25 04:29:10.400913 : Epoch  4, Batch     10, Loss  0.868640, Average Loss  0.870781, Time  0.444715
2021-09-25 04:29:12.831072 : Epoch  4, Batch    340, Loss  0.870031, Average Loss  0.869942, Time  0.451769
2021-09-25 04:29:16.300776 : Epoch  4, Batch     11, Loss  0.868049, Average Loss  0.870750, Time  0.447889
2021-09-25 04:29:18.714593 : Epoch  4, Batch    341, Loss  0.857613, Average Loss  0.869910, Time  0.444300
2021-09-25 04:29:22.124036 : Epoch  4, Batch     12, Loss  0.878280, Average Loss  0.870866, Time  0.443340
2021-09-25 04:29:24.611942 : Epoch  4, Batch    342, Loss  0.863954, Average Loss  0.869865, Time  0.445100
2021-09-25 04:29:27.951179 : Epoch  4, Batch     13, Loss  0.877902, Average Loss  0.870912, Time  0.443636
2021-09-25 04:29:30.451899 : Epoch  4, Batch    343, Loss  0.870588, Average Loss  0.869791, Time  0.446024
2021-09-25 04:29:33.802104 : Epoch  4, Batch     14, Loss  0.892756, Average Loss  0.871073, Time  0.454014
2021-09-25 04:29:36.347537 : Epoch  4, Batch    344, Loss  0.867956, Average Loss  0.869710, Time  0.446960
2021-09-25 04:29:39.720687 : Epoch  4, Batch     15, Loss  0.871459, Average Loss  0.871013, Time  0.445992
2021-09-25 04:29:42.297273 : Epoch  4, Batch    345, Loss  0.865247, Average Loss  0.869597, Time  0.449565
2021-09-25 04:29:45.631983 : Epoch  4, Batch     16, Loss  0.871608, Average Loss  0.871022, Time  0.447159
2021-09-25 04:29:48.235300 : Epoch  4, Batch    346, Loss  0.878025, Average Loss  0.869603, Time  0.446761
2021-09-25 04:29:54.129840 : Epoch  4, Batch    347, Loss  0.855457, Average Loss  0.869529, Time  0.446547
2021-09-25 04:29:59.999484 : Epoch  4, Batch    348, Loss  0.867591, Average Loss  0.869482, Time  0.460703
2021-09-25 04:30:05.930439 : Epoch  4, Batch    349, Loss  0.865038, Average Loss  0.869442, Time  0.443411
2021-09-25 04:30:11.812842 : Epoch  4, Batch    350, Loss  0.871271, Average Loss  0.869416, Time  0.449827
2021-09-25 04:30:17.680402 : Epoch  4, Batch    351, Loss  0.875283, Average Loss  0.869447, Time  0.447124
2021-09-25 04:30:23.575804 : Epoch  4, Batch    352, Loss  0.872171, Average Loss  0.869417, Time  0.446089
2021-09-25 04:30:29.513667 : Epoch  4, Batch    353, Loss  0.880894, Average Loss  0.869473, Time  0.447471
2021-09-25 04:30:35.462625 : Epoch  4, Batch    354, Loss  0.869055, Average Loss  0.869435, Time  0.444404
2021-09-25 04:30:41.308531 : Epoch  4, Batch    355, Loss  0.861559, Average Loss  0.869432, Time  0.444205
2021-09-25 04:30:47.185183 : Epoch  4, Batch    356, Loss  0.876266, Average Loss  0.869494, Time  0.457820
2021-09-25 04:30:53.093367 : Epoch  4, Batch    357, Loss  0.878358, Average Loss  0.869496, Time  0.445388
2021-09-25 04:30:58.979975 : Epoch  4, Batch    358, Loss  0.860377, Average Loss  0.869531, Time  0.444253
2021-09-25 04:31:04.849693 : Epoch  4, Batch    359, Loss  0.880754, Average Loss  0.869566, Time  0.444889
2021-09-25 04:31:10.693311 : Epoch  4, Batch    360, Loss  0.863775, Average Loss  0.869522, Time  0.444716
2021-09-25 04:31:16.538020 : Epoch  4, Batch    361, Loss  0.868190, Average Loss  0.869516, Time  0.446512
2021-09-25 04:31:22.305935 : Epoch  4, Batch    362, Loss  0.881966, Average Loss  0.869552, Time  0.445158
2021-09-25 04:31:28.215264 : Epoch  4, Batch    363, Loss  0.873885, Average Loss  0.869530, Time  0.446095
2021-09-25 04:31:34.036681 : Epoch  4, Batch    364, Loss  0.875451, Average Loss  0.869606, Time  0.451063
2021-09-25 04:31:39.899621 : Epoch  4, Batch    365, Loss  0.861760, Average Loss  0.869475, Time  0.445127
2021-09-25 04:31:45.806905 : Epoch  4, Batch    366, Loss  0.877154, Average Loss  0.869459, Time  0.444298
2021-09-25 04:31:51.695813 : Epoch  4, Batch    367, Loss  0.877882, Average Loss  0.869581, Time  0.447376
2021-09-25 04:31:57.608911 : Epoch  4, Batch    368, Loss  0.882394, Average Loss  0.869624, Time  0.446760
2021-09-25 04:32:03.558276 : Epoch  4, Batch    369, Loss  0.871385, Average Loss  0.869695, Time  0.445616
2021-09-25 04:32:09.421926 : Epoch  4, Batch    370, Loss  0.878033, Average Loss  0.869713, Time  0.444593
2021-09-25 04:32:15.350753 : Epoch  4, Batch    371, Loss  0.869773, Average Loss  0.869643, Time  0.445554
2021-09-25 04:32:21.244933 : Epoch  4, Batch    372, Loss  0.868980, Average Loss  0.869670, Time  0.458008
2021-09-25 04:32:27.111516 : Epoch  4, Batch    373, Loss  0.876474, Average Loss  0.869688, Time  0.445475
2021-09-25 04:32:32.971461 : Epoch  4, Batch    374, Loss  0.877669, Average Loss  0.869733, Time  0.447343
2021-09-25 04:32:38.883220 : Epoch  4, Batch    375, Loss  0.864764, Average Loss  0.869716, Time  0.445372
2021-09-25 04:32:44.839002 : Epoch  4, Batch    376, Loss  0.876552, Average Loss  0.869801, Time  0.446482
2021-09-25 04:32:50.681445 : Epoch  4, Batch    377, Loss  0.860533, Average Loss  0.869728, Time  0.447228
2021-09-25 04:32:56.621005 : Epoch  4, Batch    378, Loss  0.862603, Average Loss  0.869705, Time  0.449012
2021-09-25 04:33:02.524773 : Epoch  4, Batch    379, Loss  0.882705, Average Loss  0.869850, Time  0.444681
2021-09-25 04:33:08.443949 : Epoch  4, Batch    380, Loss  0.894176, Average Loss  0.870014, Time  0.455173
2021-09-25 04:33:14.374012 : Epoch  4, Batch    381, Loss  0.872961, Average Loss  0.870052, Time  0.444868
2021-09-25 04:33:20.239046 : Epoch  4, Batch    382, Loss  0.857266, Average Loss  0.869876, Time  0.445782
2021-09-25 04:33:26.127304 : Epoch  4, Batch    383, Loss  0.874208, Average Loss  0.869976, Time  0.444170
2021-09-25 04:33:32.062018 : Epoch  4, Batch    384, Loss  0.878921, Average Loss  0.869959, Time  0.447082
2021-09-25 04:33:37.981321 : Epoch  4, Batch    385, Loss  0.880549, Average Loss  0.869957, Time  0.448394
2021-09-25 04:33:43.864396 : Epoch  4, Batch    386, Loss  0.886015, Average Loss  0.870094, Time  0.448691
2021-09-25 04:33:49.832612 : Epoch  4, Batch    387, Loss  0.874541, Average Loss  0.870084, Time  0.447770
2021-09-25 04:33:55.782731 : Epoch  4, Batch    388, Loss  0.881953, Average Loss  0.870190, Time  0.460697
2021-09-25 04:34:01.646007 : Epoch  4, Batch    389, Loss  0.865941, Average Loss  0.870161, Time  0.447060
2021-09-25 04:34:07.535989 : Epoch  4, Batch    390, Loss  0.881992, Average Loss  0.870263, Time  0.447335
2021-09-25 04:34:13.362490 : Epoch  4, Batch    391, Loss  0.883627, Average Loss  0.870343, Time  0.444577
2021-09-25 04:34:19.284475 : Epoch  4, Batch    392, Loss  0.880921, Average Loss  0.870431, Time  0.447376
2021-09-25 04:34:22.787985 : CheckPoint: Validation Loss  0.00015492, Best Loss  0.00014852
2021-09-25 04:34:25.236479 : Epoch  4, Batch    393, Loss  0.881975, Average Loss  0.870476, Time  0.446797
2021-09-25 04:34:28.609995 : Epoch  4, Batch     17, Loss  0.861029, Average Loss  0.870998, Time  0.446760
2021-09-25 04:34:31.119629 : Epoch  4, Batch    394, Loss  0.872058, Average Loss  0.870466, Time  0.444486
2021-09-25 04:34:34.442967 : Epoch  4, Batch     18, Loss  0.883645, Average Loss  0.871009, Time  0.445082
2021-09-25 04:34:37.038219 : Epoch  4, Batch    395, Loss  0.864970, Average Loss  0.870479, Time  0.446002
2021-09-25 04:34:40.340025 : Epoch  4, Batch     19, Loss  0.886807, Average Loss  0.871109, Time  0.446010
2021-09-25 04:34:42.967595 : Epoch  4, Batch    396, Loss  0.869446, Average Loss  0.870496, Time  0.460218
2021-09-25 04:34:46.226124 : Epoch  4, Batch     20, Loss  0.865283, Average Loss  0.871157, Time  0.444838
2021-09-25 04:34:48.836650 : Epoch  4, Batch    397, Loss  0.868463, Average Loss  0.870564, Time  0.445924
2021-09-25 04:34:52.121750 : Epoch  4, Batch     21, Loss  0.867152, Average Loss  0.871157, Time  0.444508
2021-09-25 04:34:54.729739 : Epoch  4, Batch    398, Loss  0.888348, Average Loss  0.870605, Time  0.446208
2021-09-25 04:34:57.990779 : Epoch  4, Batch     22, Loss  0.875522, Average Loss  0.871255, Time  0.454330
2021-09-25 04:35:00.673351 : Epoch  4, Batch    399, Loss  0.879929, Average Loss  0.870663, Time  0.444609
2021-09-25 04:35:03.852651 : Epoch  4, Batch     23, Loss  0.886993, Average Loss  0.871383, Time  0.444776
2021-09-25 04:35:06.552635 : Epoch  4, Batch    400, Loss  0.866569, Average Loss  0.870670, Time  0.446704
2021-09-25 04:35:09.748911 : Epoch  4, Batch     24, Loss  0.868763, Average Loss  0.871376, Time  0.445053
2021-09-25 04:35:12.431032 : Epoch  4, Batch    401, Loss  0.872309, Average Loss  0.870647, Time  0.445758
2021-09-25 04:35:15.640960 : Epoch  4, Batch     25, Loss  0.874694, Average Loss  0.871443, Time  0.445124
2021-09-25 04:35:18.372175 : Epoch  4, Batch    402, Loss  0.866852, Average Loss  0.870655, Time  0.446251
2021-09-25 04:35:21.481890 : Epoch  4, Batch     26, Loss  0.878700, Average Loss  0.871525, Time  0.447023
2021-09-25 04:35:24.303845 : Epoch  4, Batch    403, Loss  0.860643, Average Loss  0.870562, Time  0.446918
2021-09-25 04:35:27.414882 : Epoch  4, Batch     27, Loss  0.877283, Average Loss  0.871571, Time  0.445318
2021-09-25 04:35:30.239303 : Epoch  4, Batch    404, Loss  0.877959, Average Loss  0.870619, Time  0.462782
2021-09-25 04:35:33.295452 : Epoch  4, Batch     28, Loss  0.864954, Average Loss  0.871563, Time  0.446354
2021-09-25 04:35:36.176266 : Epoch  4, Batch    405, Loss  0.867641, Average Loss  0.870600, Time  0.443437
2021-09-25 04:35:39.080525 : Epoch  4, Batch     29, Loss  0.873835, Average Loss  0.871593, Time  0.445043
2021-09-25 04:35:42.016260 : Epoch  4, Batch    406, Loss  0.879034, Average Loss  0.870694, Time  0.448280
2021-09-25 04:35:44.929495 : Epoch  4, Batch     30, Loss  0.880426, Average Loss  0.871659, Time  0.458221
2021-09-25 04:35:47.936079 : Epoch  4, Batch    407, Loss  0.873659, Average Loss  0.870725, Time  0.447253
2021-09-25 04:35:50.861145 : Epoch  4, Batch     31, Loss  0.880318, Average Loss  0.871658, Time  0.445069
2021-09-25 04:35:53.871245 : Epoch  4, Batch    408, Loss  0.876230, Average Loss  0.870795, Time  0.446050
2021-09-25 04:35:56.772037 : Epoch  4, Batch     32, Loss  0.862774, Average Loss  0.871597, Time  0.446888
2021-09-25 04:35:59.827622 : Epoch  4, Batch    409, Loss  0.868549, Average Loss  0.870756, Time  0.448102
2021-09-25 04:36:02.647130 : Epoch  4, Batch     33, Loss  0.879559, Average Loss  0.871621, Time  0.445511
2021-09-25 04:36:05.728388 : Epoch  4, Batch    410, Loss  0.861705, Average Loss  0.870676, Time  0.447095
2021-09-25 04:36:08.495609 : Epoch  4, Batch     34, Loss  0.871293, Average Loss  0.871586, Time  0.445385
2021-09-25 04:36:11.673413 : Epoch  4, Batch    411, Loss  0.871189, Average Loss  0.870653, Time  0.460334
2021-09-25 04:36:14.478980 : Epoch  4, Batch     35, Loss  0.879817, Average Loss  0.871697, Time  0.448000
2021-09-25 04:36:17.645067 : Epoch  4, Batch    412, Loss  0.858303, Average Loss  0.870549, Time  0.447148
2021-09-25 04:36:20.399931 : Epoch  4, Batch     36, Loss  0.862739, Average Loss  0.871646, Time  0.445647
2021-09-25 04:36:23.621635 : Epoch  4, Batch    413, Loss  0.888283, Average Loss  0.870704, Time  0.446328
2021-09-25 04:36:26.337298 : Epoch  4, Batch     37, Loss  0.865703, Average Loss  0.871584, Time  0.447089
2021-09-25 04:36:29.558846 : Epoch  4, Batch    414, Loss  0.853241, Average Loss  0.870651, Time  0.444086
2021-09-25 04:36:32.249032 : Epoch  4, Batch     38, Loss  0.872669, Average Loss  0.871620, Time  0.456890
2021-09-25 04:36:35.457394 : Epoch  4, Batch    415, Loss  0.872137, Average Loss  0.870692, Time  0.446980
2021-09-25 04:36:38.152457 : Epoch  4, Batch     39, Loss  0.875655, Average Loss  0.871623, Time  0.446352
2021-09-25 04:36:41.353580 : Epoch  4, Batch    416, Loss  0.871988, Average Loss  0.870794, Time  0.447439
2021-09-25 04:36:44.021186 : Epoch  4, Batch     40, Loss  0.859087, Average Loss  0.871477, Time  0.446090
2021-09-25 04:36:49.842844 : Epoch  4, Batch     41, Loss  0.866098, Average Loss  0.871460, Time  0.445299
2021-09-25 04:36:55.771870 : Epoch  4, Batch     42, Loss  0.858213, Average Loss  0.871347, Time  0.447107
2021-09-25 04:37:01.646547 : Epoch  4, Batch     43, Loss  0.879517, Average Loss  0.871432, Time  0.446176
2021-09-25 04:37:07.515904 : Epoch  4, Batch     44, Loss  0.869628, Average Loss  0.871463, Time  0.446306
2021-09-25 04:37:13.358919 : Epoch  4, Batch     45, Loss  0.881000, Average Loss  0.871581, Time  0.444602
2021-09-25 04:37:19.302812 : Epoch  4, Batch     46, Loss  0.873077, Average Loss  0.871593, Time  0.457960
2021-09-25 04:37:25.181648 : Epoch  4, Batch     47, Loss  0.866534, Average Loss  0.871592, Time  0.445334
2021-09-25 04:37:30.984902 : Epoch  4, Batch     48, Loss  0.870797, Average Loss  0.871638, Time  0.446573
2021-09-25 04:37:36.834249 : Epoch  4, Batch     49, Loss  0.869402, Average Loss  0.871656, Time  0.446865
2021-09-25 04:37:42.668956 : Epoch  4, Batch     50, Loss  0.862025, Average Loss  0.871587, Time  0.447510
2021-09-25 04:37:48.593040 : Epoch  4, Batch     51, Loss  0.881448, Average Loss  0.871609, Time  0.445039
2021-09-25 04:37:54.400862 : Epoch  4, Batch     52, Loss  0.873027, Average Loss  0.871611, Time  0.443776
2021-09-25 04:38:00.246430 : Epoch  4, Batch     53, Loss  0.873821, Average Loss  0.871649, Time  0.445446
2021-09-25 04:38:06.088990 : Epoch  4, Batch     54, Loss  0.870036, Average Loss  0.871735, Time  0.459275
2021-09-25 04:38:11.906890 : Epoch  4, Batch     55, Loss  0.890840, Average Loss  0.871814, Time  0.445348
2021-09-25 04:38:17.653751 : Epoch  4, Batch     56, Loss  0.875302, Average Loss  0.871838, Time  0.443866
2021-09-25 04:38:23.489099 : Epoch  4, Batch     57, Loss  0.871558, Average Loss  0.871877, Time  0.444705
2021-09-25 04:38:29.346555 : Epoch  4, Batch     58, Loss  0.874282, Average Loss  0.871915, Time  0.445757
2021-09-25 04:38:35.227680 : Epoch  4, Batch     59, Loss  0.863739, Average Loss  0.871860, Time  0.444575
2021-09-25 04:38:41.080775 : Epoch  4, Batch     60, Loss  0.865358, Average Loss  0.871751, Time  0.444148
2021-09-25 04:38:46.904307 : Epoch  4, Batch     61, Loss  0.902103, Average Loss  0.871890, Time  0.447459
2021-09-25 04:38:52.860272 : Epoch  4, Batch     62, Loss  0.864343, Average Loss  0.871919, Time  0.459537
2021-09-25 04:38:58.716074 : Epoch  4, Batch     63, Loss  0.869128, Average Loss  0.871998, Time  0.445522
2021-09-25 04:39:04.616369 : Epoch  4, Batch     64, Loss  0.872792, Average Loss  0.872048, Time  0.446182
2021-09-25 04:39:10.524435 : Epoch  4, Batch     65, Loss  0.876193, Average Loss  0.872048, Time  0.445541
2021-09-25 04:39:16.349216 : Epoch  4, Batch     66, Loss  0.846800, Average Loss  0.871908, Time  0.446736
2021-09-25 04:39:22.228242 : Epoch  4, Batch     67, Loss  0.862196, Average Loss  0.871925, Time  0.447607
2021-09-25 04:39:28.062070 : Epoch  4, Batch     68, Loss  0.873972, Average Loss  0.871866, Time  0.444933
2021-09-25 04:39:33.885466 : Epoch  4, Batch     69, Loss  0.869635, Average Loss  0.871765, Time  0.448039
2021-09-25 04:39:39.756535 : Epoch  4, Batch     70, Loss  0.867125, Average Loss  0.871774, Time  0.455498
2021-09-25 04:39:45.629947 : Epoch  4, Batch     71, Loss  0.862794, Average Loss  0.871804, Time  0.444534
2021-09-25 04:39:51.529861 : Epoch  4, Batch     72, Loss  0.865863, Average Loss  0.871686, Time  0.444623
2021-09-25 04:39:57.358260 : Epoch  4, Batch     73, Loss  0.875769, Average Loss  0.871752, Time  0.445304
2021-09-25 04:40:03.279639 : Epoch  4, Batch     74, Loss  0.871840, Average Loss  0.871771, Time  0.446549
2021-09-25 04:40:09.144106 : Epoch  4, Batch     75, Loss  0.886993, Average Loss  0.871877, Time  0.445290
2021-09-25 04:40:14.989907 : Epoch  4, Batch     76, Loss  0.883515, Average Loss  0.871959, Time  0.447285
2021-09-25 04:40:20.836563 : Epoch  4, Batch     77, Loss  0.857150, Average Loss  0.871903, Time  0.445057
2021-09-25 04:40:26.677931 : Epoch  4, Batch     78, Loss  0.863016, Average Loss  0.871879, Time  0.455996
2021-09-25 04:40:32.481555 : Epoch  4, Batch     79, Loss  0.877898, Average Loss  0.871938, Time  0.445446
2021-09-25 04:40:38.343939 : Epoch  4, Batch     80, Loss  0.866976, Average Loss  0.871866, Time  0.445569
2021-09-25 04:40:44.223541 : Epoch  4, Batch     81, Loss  0.868181, Average Loss  0.871791, Time  0.444534
2021-09-25 04:40:50.053208 : Epoch  4, Batch     82, Loss  0.873435, Average Loss  0.871753, Time  0.445950
2021-09-25 04:40:55.965463 : Epoch  4, Batch     83, Loss  0.873512, Average Loss  0.871790, Time  0.444592
2021-09-25 04:41:01.802447 : Epoch  4, Batch     84, Loss  0.869282, Average Loss  0.871718, Time  0.444119
2021-09-25 04:41:07.696120 : Epoch  4, Batch     85, Loss  0.880934, Average Loss  0.871822, Time  0.445026
2021-09-25 04:41:13.587721 : Epoch  4, Batch     86, Loss  0.859840, Average Loss  0.871727, Time  0.460250
2021-09-25 04:41:19.379445 : Epoch  4, Batch     87, Loss  0.868769, Average Loss  0.871784, Time  0.446642
2021-09-25 04:41:20.341810 : CheckPoint: Validation Loss  0.00014804, Best Loss  0.00014804
2021-09-25 04:41:20.385681 : Best Model Updated
2021-09-25 04:41:25.291535 : Epoch  4, Batch     88, Loss  0.874913, Average Loss  0.871801, Time  0.446093
2021-09-25 04:41:27.327831 : Epoch  4, Batch    417, Loss  0.871621, Average Loss  0.870798, Time  0.448462
2021-09-25 04:41:31.119338 : Epoch  4, Batch     89, Loss  0.876688, Average Loss  0.871775, Time  0.449321
2021-09-25 04:41:33.195668 : Epoch  4, Batch    418, Loss  0.877965, Average Loss  0.870779, Time  0.460752
2021-09-25 04:41:37.065125 : Epoch  4, Batch     90, Loss  0.873770, Average Loss  0.871764, Time  0.447905
2021-09-25 04:41:39.177717 : Epoch  4, Batch    419, Loss  0.878549, Average Loss  0.870788, Time  0.446815
2021-09-25 04:41:42.885952 : Epoch  4, Batch     91, Loss  0.855164, Average Loss  0.871670, Time  0.447176
2021-09-25 04:41:45.045082 : Epoch  4, Batch    420, Loss  0.862222, Average Loss  0.870867, Time  0.445371
2021-09-25 04:41:48.734036 : Epoch  4, Batch     92, Loss  0.871835, Average Loss  0.871689, Time  0.445757
2021-09-25 04:41:50.897098 : Epoch  4, Batch    421, Loss  0.871183, Average Loss  0.870881, Time  0.446303
2021-09-25 04:41:54.674389 : Epoch  4, Batch     93, Loss  0.876902, Average Loss  0.871750, Time  0.446686
2021-09-25 04:41:56.822556 : Epoch  4, Batch    422, Loss  0.868437, Average Loss  0.870906, Time  0.443611
2021-09-25 04:42:00.502911 : Epoch  4, Batch     94, Loss  0.867256, Average Loss  0.871725, Time  0.454796
2021-09-25 04:42:02.666090 : Epoch  4, Batch    423, Loss  0.877634, Average Loss  0.870927, Time  0.444285
2021-09-25 04:42:06.394431 : Epoch  4, Batch     95, Loss  0.879598, Average Loss  0.871756, Time  0.446709
2021-09-25 04:42:08.619765 : Epoch  4, Batch    424, Loss  0.867008, Average Loss  0.870841, Time  0.444206
2021-09-25 04:42:12.315142 : Epoch  4, Batch     96, Loss  0.868913, Average Loss  0.871674, Time  0.448256
2021-09-25 04:42:14.506808 : Epoch  4, Batch    425, Loss  0.870068, Average Loss  0.870780, Time  0.446114
2021-09-25 04:42:18.224819 : Epoch  4, Batch     97, Loss  0.866425, Average Loss  0.871694, Time  0.446749
2021-09-25 04:42:20.378930 : Epoch  4, Batch    426, Loss  0.871355, Average Loss  0.870771, Time  0.458655
2021-09-25 04:42:23.972190 : Epoch  4, Batch     98, Loss  0.857253, Average Loss  0.871641, Time  0.446769
2021-09-25 04:42:26.174106 : Epoch  4, Batch    427, Loss  0.869697, Average Loss  0.870730, Time  0.445059
2021-09-25 04:42:29.787356 : Epoch  4, Batch     99, Loss  0.878355, Average Loss  0.871664, Time  0.443114
2021-09-25 04:42:32.048783 : Epoch  4, Batch    428, Loss  0.872941, Average Loss  0.870730, Time  0.445599
2021-09-25 04:42:35.641630 : Epoch  4, Batch    100, Loss  0.871832, Average Loss  0.871613, Time  0.444353
2021-09-25 04:42:37.913998 : Epoch  4, Batch    429, Loss  0.875503, Average Loss  0.870735, Time  0.445624
2021-09-25 04:42:41.500134 : Epoch  4, Batch    101, Loss  0.870231, Average Loss  0.871579, Time  0.447588
2021-09-25 04:42:43.767561 : Epoch  4, Batch    430, Loss  0.871380, Average Loss  0.870787, Time  0.446476
2021-09-25 04:42:47.333802 : Epoch  4, Batch    102, Loss  0.882472, Average Loss  0.871655, Time  0.459885
2021-09-25 04:42:49.610328 : Epoch  4, Batch    431, Loss  0.865267, Average Loss  0.870834, Time  0.443303
2021-09-25 04:42:53.138502 : Epoch  4, Batch    103, Loss  0.862424, Average Loss  0.871629, Time  0.444390
2021-09-25 04:42:55.549815 : Epoch  4, Batch    432, Loss  0.862902, Average Loss  0.870793, Time  0.445063
2021-09-25 04:42:59.022935 : Epoch  4, Batch    104, Loss  0.883790, Average Loss  0.871719, Time  0.444783
2021-09-25 04:43:01.438012 : Epoch  4, Batch    433, Loss  0.856804, Average Loss  0.870743, Time  0.445786
2021-09-25 04:43:04.867564 : Epoch  4, Batch    105, Loss  0.852948, Average Loss  0.871593, Time  0.443500
2021-09-25 04:43:07.304732 : Epoch  4, Batch    434, Loss  0.875817, Average Loss  0.870827, Time  0.460827
2021-09-25 04:43:10.720958 : Epoch  4, Batch    106, Loss  0.872481, Average Loss  0.871614, Time  0.444212
2021-09-25 04:43:13.180051 : Epoch  4, Batch    435, Loss  0.869602, Average Loss  0.870818, Time  0.443771
2021-09-25 04:43:16.528038 : Epoch  4, Batch    107, Loss  0.863047, Average Loss  0.871551, Time  0.445081
2021-09-25 04:43:18.993237 : Epoch  4, Batch    436, Loss  0.869740, Average Loss  0.870875, Time  0.445480
2021-09-25 04:43:22.289717 : Epoch  4, Batch    108, Loss  0.878707, Average Loss  0.871613, Time  0.445266
2021-09-25 04:43:24.799037 : Epoch  4, Batch    437, Loss  0.878241, Average Loss  0.870889, Time  0.444120
2021-09-25 04:43:28.073814 : Epoch  4, Batch    109, Loss  0.876642, Average Loss  0.871682, Time  0.444165
2021-09-25 04:43:30.602377 : Epoch  4, Batch    438, Loss  0.871224, Average Loss  0.870924, Time  0.447010
2021-09-25 04:43:34.032323 : Epoch  4, Batch    110, Loss  0.876346, Average Loss  0.871697, Time  0.456660
2021-09-25 04:43:36.591844 : Epoch  4, Batch    439, Loss  0.885680, Average Loss  0.870976, Time  0.447062
2021-09-25 04:43:39.925741 : Epoch  4, Batch    111, Loss  0.875102, Average Loss  0.871763, Time  0.444649
2021-09-25 04:43:42.480902 : Epoch  4, Batch    440, Loss  0.870352, Average Loss  0.871025, Time  0.447217
2021-09-25 04:43:45.813057 : Epoch  4, Batch    112, Loss  0.882211, Average Loss  0.871825, Time  0.444409
2021-09-25 04:43:48.379910 : Epoch  4, Batch    441, Loss  0.876869, Average Loss  0.870963, Time  0.446365
2021-09-25 04:43:51.724570 : Epoch  4, Batch    113, Loss  0.869357, Average Loss  0.871853, Time  0.444406
2021-09-25 04:43:54.274030 : Epoch  4, Batch    442, Loss  0.865004, Average Loss  0.870909, Time  0.461567
2021-09-25 04:43:57.534914 : Epoch  4, Batch    114, Loss  0.866951, Average Loss  0.871827, Time  0.444004
2021-09-25 04:44:00.085731 : Epoch  4, Batch    443, Loss  0.865356, Average Loss  0.870846, Time  0.445256
2021-09-25 04:44:03.380537 : Epoch  4, Batch    115, Loss  0.872786, Average Loss  0.871836, Time  0.445541
2021-09-25 04:44:05.968492 : Epoch  4, Batch    444, Loss  0.865213, Average Loss  0.870834, Time  0.446783
2021-09-25 04:44:09.246785 : Epoch  4, Batch    116, Loss  0.876239, Average Loss  0.871860, Time  0.444172
2021-09-25 04:44:11.828093 : Epoch  4, Batch    445, Loss  0.872119, Average Loss  0.870791, Time  0.446761
2021-09-25 04:44:17.757763 : Epoch  4, Batch    446, Loss  0.868788, Average Loss  0.870803, Time  0.444681
2021-09-25 04:44:23.599741 : Epoch  4, Batch    447, Loss  0.861419, Average Loss  0.870802, Time  0.446680
2021-09-25 04:44:29.441143 : Epoch  4, Batch    448, Loss  0.858129, Average Loss  0.870751, Time  0.446338
2021-09-25 04:44:35.298098 : Epoch  4, Batch    449, Loss  0.871802, Average Loss  0.870770, Time  0.446330
2021-09-25 04:44:41.166556 : Epoch  4, Batch    450, Loss  0.879214, Average Loss  0.870817, Time  0.458018
2021-09-25 04:44:47.017099 : Epoch  4, Batch    451, Loss  0.867890, Average Loss  0.870775, Time  0.443710
2021-09-25 04:44:52.790157 : Epoch  4, Batch    452, Loss  0.880177, Average Loss  0.870781, Time  0.445492
2021-09-25 04:44:58.643398 : Epoch  4, Batch    453, Loss  0.864961, Average Loss  0.870865, Time  0.446445
2021-09-25 04:45:04.538929 : Epoch  4, Batch    454, Loss  0.854060, Average Loss  0.870802, Time  0.445768
2021-09-25 04:45:10.554729 : Epoch  4, Batch    455, Loss  0.883116, Average Loss  0.870833, Time  0.445967
2021-09-25 04:45:16.549346 : Epoch  4, Batch    456, Loss  0.859644, Average Loss  0.870689, Time  0.445582
2021-09-25 04:45:22.472977 : Epoch  4, Batch    457, Loss  0.858625, Average Loss  0.870738, Time  0.448383
2021-09-25 04:45:28.349106 : Epoch  4, Batch    458, Loss  0.860419, Average Loss  0.870620, Time  0.462234
2021-09-25 04:45:34.181526 : Epoch  4, Batch    459, Loss  0.863301, Average Loss  0.870683, Time  0.446820
2021-09-25 04:45:39.996663 : Epoch  4, Batch    460, Loss  0.865741, Average Loss  0.870693, Time  0.445378
2021-09-25 04:45:45.875004 : Epoch  4, Batch    461, Loss  0.864153, Average Loss  0.870698, Time  0.446000
2021-09-25 04:45:51.760718 : Epoch  4, Batch    462, Loss  0.884324, Average Loss  0.870809, Time  0.445012
2021-09-25 04:45:57.635648 : Epoch  4, Batch    463, Loss  0.873771, Average Loss  0.870866, Time  0.444723
2021-09-25 04:46:03.433446 : Epoch  4, Batch    464, Loss  0.870788, Average Loss  0.870883, Time  0.444306
2021-09-25 04:46:09.256209 : Epoch  4, Batch    465, Loss  0.877701, Average Loss  0.870843, Time  0.445474
2021-09-25 04:46:15.110456 : Epoch  4, Batch    466, Loss  0.870428, Average Loss  0.870849, Time  0.450894
2021-09-25 04:46:20.994276 : Epoch  4, Batch    467, Loss  0.868443, Average Loss  0.870888, Time  0.445503
2021-09-25 04:46:26.866140 : Epoch  4, Batch    468, Loss  0.883572, Average Loss  0.870891, Time  0.445386
2021-09-25 04:46:32.754451 : Epoch  4, Batch    469, Loss  0.855764, Average Loss  0.870877, Time  0.447131
2021-09-25 04:46:38.583828 : Epoch  4, Batch    470, Loss  0.861213, Average Loss  0.870811, Time  0.444458
2021-09-25 04:46:44.486934 : Epoch  4, Batch    471, Loss  0.863340, Average Loss  0.870786, Time  0.444185
2021-09-25 04:46:50.377339 : Epoch  4, Batch    472, Loss  0.866852, Average Loss  0.870768, Time  0.445306
2021-09-25 04:46:56.307837 : Epoch  4, Batch    473, Loss  0.867759, Average Loss  0.870718, Time  0.448258
2021-09-25 04:47:02.231528 : Epoch  4, Batch    474, Loss  0.861407, Average Loss  0.870676, Time  0.455562
2021-09-25 04:47:08.071529 : Epoch  4, Batch    475, Loss  0.865797, Average Loss  0.870687, Time  0.444381
2021-09-25 04:47:13.959642 : Epoch  4, Batch    476, Loss  0.885728, Average Loss  0.870794, Time  0.443767
2021-09-25 04:47:19.828778 : Epoch  4, Batch    477, Loss  0.868722, Average Loss  0.870810, Time  0.445431
2021-09-25 04:47:25.666293 : Epoch  4, Batch    478, Loss  0.857265, Average Loss  0.870784, Time  0.446254
2021-09-25 04:47:31.525543 : Epoch  4, Batch    479, Loss  0.877714, Average Loss  0.870826, Time  0.444089
2021-09-25 04:47:37.319553 : Epoch  4, Batch    480, Loss  0.871632, Average Loss  0.870783, Time  0.445256
2021-09-25 04:47:43.124357 : Epoch  4, Batch    481, Loss  0.874330, Average Loss  0.870859, Time  0.445282
2021-09-25 04:47:48.945068 : Epoch  4, Batch    482, Loss  0.880938, Average Loss  0.870885, Time  0.456772
2021-09-25 04:47:54.835553 : Epoch  4, Batch    483, Loss  0.881485, Average Loss  0.871026, Time  0.448300
2021-09-25 04:48:00.753636 : Epoch  4, Batch    484, Loss  0.875388, Average Loss  0.871069, Time  0.447231
2021-09-25 04:48:06.687960 : Epoch  4, Batch    485, Loss  0.884265, Average Loss  0.871145, Time  0.445175
2021-09-25 04:48:12.516342 : Epoch  4, Batch    486, Loss  0.866971, Average Loss  0.871125, Time  0.445132
2021-09-25 04:48:18.395732 : Epoch  4, Batch    487, Loss  0.875763, Average Loss  0.871193, Time  0.445385
2021-09-25 04:48:24.223511 : Epoch  4, Batch    488, Loss  0.877759, Average Loss  0.871211, Time  0.445020
2021-09-25 04:48:30.036312 : Epoch  4, Batch    489, Loss  0.874021, Average Loss  0.871164, Time  0.443419
2021-09-25 04:48:35.983015 : Epoch  4, Batch    490, Loss  0.861011, Average Loss  0.871044, Time  0.455864
2021-09-25 04:48:41.895689 : Epoch  4, Batch    491, Loss  0.863869, Average Loss  0.870998, Time  0.445378
2021-09-25 04:48:46.064283 : CheckPoint: Validation Loss  0.00014946, Best Loss  0.00014852
2021-09-25 04:48:47.763146 : Epoch  4, Batch    492, Loss  0.881086, Average Loss  0.871105, Time  0.446461
2021-09-25 04:48:51.977380 : Epoch  4, Batch    117, Loss  0.868302, Average Loss  0.871914, Time  0.448930
2021-09-25 04:48:53.688112 : Epoch  4, Batch    493, Loss  0.874199, Average Loss  0.871002, Time  0.444894
2021-09-25 04:48:57.854820 : Epoch  4, Batch    118, Loss  0.854014, Average Loss  0.871865, Time  0.460373
2021-09-25 04:48:59.604742 : Epoch  4, Batch    494, Loss  0.880742, Average Loss  0.871077, Time  0.446737
2021-09-25 04:49:03.718040 : Epoch  4, Batch    119, Loss  0.857239, Average Loss  0.871759, Time  0.444790
2021-09-25 04:49:05.480035 : Epoch  4, Batch    495, Loss  0.854223, Average Loss  0.871065, Time  0.447046
2021-09-25 04:49:09.714569 : Epoch  4, Batch    120, Loss  0.887179, Average Loss  0.871832, Time  0.447626
2021-09-25 04:49:11.397462 : Epoch  4, Batch    496, Loss  0.886319, Average Loss  0.871093, Time  0.444404
2021-09-25 04:49:15.585839 : Epoch  4, Batch    121, Loss  0.879793, Average Loss  0.871917, Time  0.447111
2021-09-25 04:49:17.260944 : Epoch  4, Batch    497, Loss  0.870849, Average Loss  0.871111, Time  0.445757
2021-09-25 04:49:21.559620 : Epoch  4, Batch    122, Loss  0.874641, Average Loss  0.871933, Time  0.445114
2021-09-25 04:49:23.349021 : Epoch  4, Batch    498, Loss  0.861110, Average Loss  0.871016, Time  0.459163
2021-09-25 04:49:27.624050 : Epoch  4, Batch    123, Loss  0.859448, Average Loss  0.871823, Time  0.448058
2021-09-25 04:49:29.412492 : Epoch  4, Batch    499, Loss  0.886611, Average Loss  0.871065, Time  0.444765
2021-09-25 04:49:33.652475 : Epoch  4, Batch    124, Loss  0.865363, Average Loss  0.871747, Time  0.444860
2021-09-25 04:49:35.473395 : Epoch  4, Batch    500, Loss  0.872632, Average Loss  0.871041, Time  0.444710
2021-09-25 04:49:39.694401 : Epoch  4, Batch    125, Loss  0.850493, Average Loss  0.871657, Time  0.455447
2021-09-25 04:49:41.529231 : Epoch  4, Batch    501, Loss  0.873708, Average Loss  0.871060, Time  0.444930
2021-09-25 04:49:45.741152 : Epoch  4, Batch    126, Loss  0.873018, Average Loss  0.871641, Time  0.446920
2021-09-25 04:49:47.591659 : Epoch  4, Batch    502, Loss  0.868759, Average Loss  0.871066, Time  0.444952
2021-09-25 04:49:51.786357 : Epoch  4, Batch    127, Loss  0.889620, Average Loss  0.871752, Time  0.445106
2021-09-25 04:49:53.659511 : Epoch  4, Batch    503, Loss  0.878996, Average Loss  0.871151, Time  0.445138
2021-09-25 04:49:57.819788 : Epoch  4, Batch    128, Loss  0.867692, Average Loss  0.871706, Time  0.445279
2021-09-25 04:49:59.718039 : Epoch  4, Batch    504, Loss  0.876422, Average Loss  0.871165, Time  0.446204
2021-09-25 04:50:03.842373 : Epoch  4, Batch    129, Loss  0.870150, Average Loss  0.871644, Time  0.444746
2021-09-25 04:50:05.806964 : Epoch  4, Batch    505, Loss  0.876083, Average Loss  0.871160, Time  0.459671
2021-09-25 04:50:09.879222 : Epoch  4, Batch    130, Loss  0.874421, Average Loss  0.871678, Time  0.445130
2021-09-25 04:50:11.867850 : Epoch  4, Batch    506, Loss  0.873881, Average Loss  0.871171, Time  0.445882
2021-09-25 04:50:15.909273 : Epoch  4, Batch    131, Loss  0.873770, Average Loss  0.871685, Time  0.444907
2021-09-25 04:50:17.920569 : Epoch  4, Batch    507, Loss  0.867267, Average Loss  0.871173, Time  0.444453
2021-09-25 04:50:21.767419 : Epoch  4, Batch    132, Loss  0.864157, Average Loss  0.871555, Time  0.446554
2021-09-25 04:50:23.753821 : Epoch  4, Batch    508, Loss  0.875866, Average Loss  0.871225, Time  0.443907
2021-09-25 04:50:27.533616 : Epoch  4, Batch    133, Loss  0.868693, Average Loss  0.871543, Time  0.450686
2021-09-25 04:50:29.494026 : Epoch  4, Batch    509, Loss  0.881681, Average Loss  0.871264, Time  0.444558
2021-09-25 04:50:33.310986 : Epoch  4, Batch    134, Loss  0.893257, Average Loss  0.871664, Time  0.446215
2021-09-25 04:50:35.270389 : Epoch  4, Batch    510, Loss  0.884606, Average Loss  0.871367, Time  0.444049
2021-09-25 04:50:39.022392 : Epoch  4, Batch    135, Loss  0.865624, Average Loss  0.871582, Time  0.442960
2021-09-25 04:50:41.005411 : Epoch  4, Batch    511, Loss  0.888806, Average Loss  0.871513, Time  0.443009
2021-09-25 04:50:44.719249 : Epoch  4, Batch    136, Loss  0.872225, Average Loss  0.871504, Time  0.444045
2021-09-25 04:50:46.774840 : Epoch  4, Batch    512, Loss  0.881476, Average Loss  0.871568, Time  0.443851
2021-09-25 04:50:50.481884 : Epoch  4, Batch    137, Loss  0.861926, Average Loss  0.871474, Time  0.444953
2021-09-25 04:50:52.528689 : Epoch  4, Batch    513, Loss  0.884501, Average Loss  0.871674, Time  0.450843
2021-09-25 04:50:56.314919 : Epoch  4, Batch    138, Loss  0.878660, Average Loss  0.871482, Time  0.444016
2021-09-25 04:50:58.438789 : Epoch  4, Batch    514, Loss  0.861874, Average Loss  0.871607, Time  0.445765
2021-09-25 04:51:02.093095 : Epoch  4, Batch    139, Loss  0.878656, Average Loss  0.871572, Time  0.445676
2021-09-25 04:51:04.232928 : Epoch  4, Batch    515, Loss  0.876895, Average Loss  0.871633, Time  0.444397
2021-09-25 04:51:07.811837 : Epoch  4, Batch    140, Loss  0.860294, Average Loss  0.871499, Time  0.445049
2021-09-25 04:51:09.990788 : Epoch  4, Batch    516, Loss  0.883705, Average Loss  0.871683, Time  0.444373
2021-09-25 04:51:13.580567 : Epoch  4, Batch    141, Loss  0.861270, Average Loss  0.871442, Time  0.459164
2021-09-25 04:51:19.328452 : Epoch  4, Batch    142, Loss  0.870114, Average Loss  0.871409, Time  0.451728
2021-09-25 04:51:25.082377 : Epoch  4, Batch    143, Loss  0.866715, Average Loss  0.871405, Time  0.445105
2021-09-25 04:51:30.822884 : Epoch  4, Batch    144, Loss  0.876208, Average Loss  0.871458, Time  0.443815
2021-09-25 04:51:36.527181 : Epoch  4, Batch    145, Loss  0.866001, Average Loss  0.871485, Time  0.443646
2021-09-25 04:51:42.283867 : Epoch  4, Batch    146, Loss  0.882479, Average Loss  0.871472, Time  0.444082
2021-09-25 04:51:48.015915 : Epoch  4, Batch    147, Loss  0.867552, Average Loss  0.871440, Time  0.443578
2021-09-25 04:51:53.760812 : Epoch  4, Batch    148, Loss  0.876523, Average Loss  0.871474, Time  0.442887
2021-09-25 04:51:59.531865 : Epoch  4, Batch    149, Loss  0.873130, Average Loss  0.871510, Time  0.456641
2021-09-25 04:52:05.322207 : Epoch  4, Batch    150, Loss  0.862687, Average Loss  0.871507, Time  0.443288
2021-09-25 04:52:11.091761 : Epoch  4, Batch    151, Loss  0.876885, Average Loss  0.871582, Time  0.444041
2021-09-25 04:52:16.937016 : Epoch  4, Batch    152, Loss  0.878556, Average Loss  0.871641, Time  0.446433
2021-09-25 04:52:22.992724 : Epoch  4, Batch    153, Loss  0.878715, Average Loss  0.871707, Time  0.446699
2021-09-25 04:52:29.064746 : Epoch  4, Batch    154, Loss  0.848587, Average Loss  0.871584, Time  0.449554
2021-09-25 04:52:35.189792 : Epoch  4, Batch    155, Loss  0.881377, Average Loss  0.871588, Time  0.451131
2021-09-25 04:52:41.264958 : Epoch  4, Batch    156, Loss  0.860609, Average Loss  0.871565, Time  0.446880
2021-09-25 04:52:47.340702 : Epoch  4, Batch    157, Loss  0.874160, Average Loss  0.871500, Time  0.464107
2021-09-25 04:52:53.399946 : Epoch  4, Batch    158, Loss  0.853609, Average Loss  0.871419, Time  0.446330
2021-09-25 04:52:59.455850 : Epoch  4, Batch    159, Loss  0.883602, Average Loss  0.871497, Time  0.446894
2021-09-25 04:53:05.542566 : Epoch  4, Batch    160, Loss  0.871519, Average Loss  0.871508, Time  0.448761
2021-09-25 04:53:11.621892 : Epoch  4, Batch    161, Loss  0.862175, Average Loss  0.871471, Time  0.447294
2021-09-25 04:53:17.679531 : Epoch  4, Batch    162, Loss  0.876238, Average Loss  0.871475, Time  0.447871
2021-09-25 04:53:23.728149 : Epoch  4, Batch    163, Loss  0.859196, Average Loss  0.871441, Time  0.446301
2021-09-25 04:53:29.822227 : Epoch  4, Batch    164, Loss  0.873367, Average Loss  0.871461, Time  0.456690
2021-09-25 04:53:35.896387 : Epoch  4, Batch    165, Loss  0.897512, Average Loss  0.871550, Time  0.445733
2021-09-25 04:53:41.979464 : Epoch  4, Batch    166, Loss  0.857927, Average Loss  0.871543, Time  0.447367
2021-09-25 04:53:48.055501 : Epoch  4, Batch    167, Loss  0.883683, Average Loss  0.871698, Time  0.450665
2021-09-25 04:53:54.144979 : Epoch  4, Batch    168, Loss  0.873587, Average Loss  0.871735, Time  0.447588
2021-09-25 04:54:00.215917 : Epoch  4, Batch    169, Loss  0.866948, Average Loss  0.871694, Time  0.447376
2021-09-25 04:54:06.274628 : Epoch  4, Batch    170, Loss  0.877317, Average Loss  0.871686, Time  0.449506
2021-09-25 04:54:12.338754 : Epoch  4, Batch    171, Loss  0.864873, Average Loss  0.871647, Time  0.445761
2021-09-25 04:54:18.419514 : Epoch  4, Batch    172, Loss  0.865408, Average Loss  0.871598, Time  0.458531
2021-09-25 04:54:24.476805 : Epoch  4, Batch    173, Loss  0.867090, Average Loss  0.871518, Time  0.448012
2021-09-25 04:54:30.542904 : Epoch  4, Batch    174, Loss  0.884625, Average Loss  0.871500, Time  0.447048
2021-09-25 04:54:36.625519 : Epoch  4, Batch    175, Loss  0.863664, Average Loss  0.871429, Time  0.451109
2021-09-25 04:54:42.683902 : Epoch  4, Batch    176, Loss  0.872448, Average Loss  0.871500, Time  0.446930
2021-09-25 04:54:48.756605 : Epoch  4, Batch    177, Loss  0.873002, Average Loss  0.871436, Time  0.448212
2021-09-25 04:54:54.833965 : Epoch  4, Batch    178, Loss  0.871854, Average Loss  0.871443, Time  0.446413
2021-09-25 04:55:00.907539 : Epoch  4, Batch    179, Loss  0.870364, Average Loss  0.871420, Time  0.456211
2021-09-25 04:55:06.996206 : Epoch  4, Batch    180, Loss  0.876520, Average Loss  0.871530, Time  0.447255
2021-09-25 04:55:13.055527 : Epoch  4, Batch    181, Loss  0.871535, Average Loss  0.871574, Time  0.447568
2021-09-25 04:55:19.113233 : Epoch  4, Batch    182, Loss  0.871876, Average Loss  0.871566, Time  0.446401
2021-09-25 04:55:25.184208 : Epoch  4, Batch    183, Loss  0.875091, Average Loss  0.871609, Time  0.445725
2021-09-25 04:55:31.264624 : Epoch  4, Batch    184, Loss  0.864070, Average Loss  0.871623, Time  0.445611
2021-09-25 04:55:37.327492 : Epoch  4, Batch    185, Loss  0.884786, Average Loss  0.871724, Time  0.445280
2021-09-25 04:55:43.395683 : Epoch  4, Batch    186, Loss  0.866866, Average Loss  0.871736, Time  0.449235
2021-09-25 04:55:49.473470 : Epoch  4, Batch    187, Loss  0.853645, Average Loss  0.871688, Time  0.460441
2021-09-25 04:55:55.537250 : Epoch  4, Batch    188, Loss  0.860116, Average Loss  0.871602, Time  0.446260
2021-09-25 04:55:57.815650 : CheckPoint: Validation Loss  0.00015313, Best Loss  0.00014804
2021-09-25 04:56:01.592400 : Epoch  4, Batch    189, Loss  0.880930, Average Loss  0.871667, Time  0.446205
2021-09-25 04:56:03.970567 : Epoch  4, Batch    517, Loss  0.855488, Average Loss  0.871662, Time  0.450388
2021-09-25 04:56:07.662591 : Epoch  4, Batch    190, Loss  0.877781, Average Loss  0.871666, Time  0.446822
2021-09-25 04:56:10.148590 : Epoch  4, Batch    518, Loss  0.859936, Average Loss  0.871601, Time  0.447264
2021-09-25 04:56:13.744068 : Epoch  4, Batch    191, Loss  0.878312, Average Loss  0.871753, Time  0.445488
2021-09-25 04:56:16.313838 : Epoch  4, Batch    519, Loss  0.873626, Average Loss  0.871676, Time  0.458607
2021-09-25 04:56:19.860066 : Epoch  4, Batch    192, Loss  0.870323, Average Loss  0.871753, Time  0.448154
2021-09-25 04:56:22.495142 : Epoch  4, Batch    520, Loss  0.872006, Average Loss  0.871684, Time  0.448197
2021-09-25 04:56:25.946814 : Epoch  4, Batch    193, Loss  0.858989, Average Loss  0.871682, Time  0.448235
2021-09-25 04:56:28.656872 : Epoch  4, Batch    521, Loss  0.869158, Average Loss  0.871693, Time  0.448508
2021-09-25 04:56:32.030209 : Epoch  4, Batch    194, Loss  0.863888, Average Loss  0.871676, Time  0.455419
2021-09-25 04:56:34.803631 : Epoch  4, Batch    522, Loss  0.870723, Average Loss  0.871687, Time  0.446314
2021-09-25 04:56:38.112714 : Epoch  4, Batch    195, Loss  0.865340, Average Loss  0.871632, Time  0.445043
2021-09-25 04:56:40.967783 : Epoch  4, Batch    523, Loss  0.841827, Average Loss  0.871560, Time  0.446840
2021-09-25 04:56:44.197672 : Epoch  4, Batch    196, Loss  0.874075, Average Loss  0.871634, Time  0.447051
2021-09-25 04:56:47.143037 : Epoch  4, Batch    524, Loss  0.864425, Average Loss  0.871506, Time  0.450124
2021-09-25 04:56:50.265790 : Epoch  4, Batch    197, Loss  0.860305, Average Loss  0.871570, Time  0.446776
2021-09-25 04:56:53.285856 : Epoch  4, Batch    525, Loss  0.858549, Average Loss  0.871434, Time  0.447745
2021-09-25 04:56:56.350503 : Epoch  4, Batch    198, Loss  0.877282, Average Loss  0.871523, Time  0.450877
2021-09-25 04:56:59.463538 : Epoch  4, Batch    526, Loss  0.876233, Average Loss  0.871499, Time  0.458039
2021-09-25 04:57:02.407480 : Epoch  4, Batch    199, Loss  0.882203, Average Loss  0.871571, Time  0.445783
2021-09-25 04:57:05.645067 : Epoch  4, Batch    527, Loss  0.866171, Average Loss  0.871425, Time  0.449815
2021-09-25 04:57:08.483412 : Epoch  4, Batch    200, Loss  0.874875, Average Loss  0.871584, Time  0.445299
2021-09-25 04:57:11.817785 : Epoch  4, Batch    528, Loss  0.871433, Average Loss  0.871396, Time  0.446096
2021-09-25 04:57:14.552571 : Epoch  4, Batch    201, Loss  0.850550, Average Loss  0.871437, Time  0.446454
2021-09-25 04:57:17.972287 : Epoch  4, Batch    529, Loss  0.855259, Average Loss  0.871316, Time  0.454342
2021-09-25 04:57:20.639947 : Epoch  4, Batch    202, Loss  0.876430, Average Loss  0.871488, Time  0.455675
2021-09-25 04:57:24.136701 : Epoch  4, Batch    530, Loss  0.851067, Average Loss  0.871216, Time  0.445732
2021-09-25 04:57:26.702331 : Epoch  4, Batch    203, Loss  0.865496, Average Loss  0.871506, Time  0.449882
2021-09-25 04:57:30.312581 : Epoch  4, Batch    531, Loss  0.866164, Average Loss  0.871146, Time  0.447350
2021-09-25 04:57:32.769708 : Epoch  4, Batch    204, Loss  0.869094, Average Loss  0.871499, Time  0.447489
2021-09-25 04:57:36.454398 : Epoch  4, Batch    532, Loss  0.877398, Average Loss  0.871234, Time  0.446077
2021-09-25 04:57:38.814774 : Epoch  4, Batch    205, Loss  0.875186, Average Loss  0.871506, Time  0.446138
2021-09-25 04:57:42.611870 : Epoch  4, Batch    533, Loss  0.864558, Average Loss  0.871239, Time  0.446976
2021-09-25 04:57:44.874006 : Epoch  4, Batch    206, Loss  0.873555, Average Loss  0.871519, Time  0.450013
2021-09-25 04:57:48.756550 : Epoch  4, Batch    534, Loss  0.860945, Average Loss  0.871181, Time  0.462434
2021-09-25 04:57:50.920631 : Epoch  4, Batch    207, Loss  0.858779, Average Loss  0.871427, Time  0.446213
2021-09-25 04:57:54.900972 : Epoch  4, Batch    535, Loss  0.880638, Average Loss  0.871269, Time  0.445493
2021-09-25 04:57:56.976367 : Epoch  4, Batch    208, Loss  0.863201, Average Loss  0.871373, Time  0.446105
2021-09-25 04:58:01.071522 : Epoch  4, Batch    536, Loss  0.868575, Average Loss  0.871260, Time  0.449280
2021-09-25 04:58:03.054726 : Epoch  4, Batch    209, Loss  0.887758, Average Loss  0.871394, Time  0.457068
2021-09-25 04:58:07.258578 : Epoch  4, Batch    537, Loss  0.867333, Average Loss  0.871222, Time  0.446030
2021-09-25 04:58:09.120001 : Epoch  4, Batch    210, Loss  0.897859, Average Loss  0.871540, Time  0.446944
2021-09-25 04:58:13.397865 : Epoch  4, Batch    538, Loss  0.856282, Average Loss  0.871108, Time  0.446235
2021-09-25 04:58:15.179475 : Epoch  4, Batch    211, Loss  0.894076, Average Loss  0.871671, Time  0.445083
2021-09-25 04:58:19.568551 : Epoch  4, Batch    539, Loss  0.860961, Average Loss  0.871101, Time  0.447259
2021-09-25 04:58:21.265024 : Epoch  4, Batch    212, Loss  0.879552, Average Loss  0.871677, Time  0.446706
2021-09-25 04:58:25.725139 : Epoch  4, Batch    540, Loss  0.862532, Average Loss  0.871064, Time  0.446766
2021-09-25 04:58:27.331630 : Epoch  4, Batch    213, Loss  0.872559, Average Loss  0.871650, Time  0.445524
2021-09-25 04:58:31.877812 : Epoch  4, Batch    541, Loss  0.868678, Average Loss  0.871119, Time  0.458088
2021-09-25 04:58:33.400371 : Epoch  4, Batch    214, Loss  0.878563, Average Loss  0.871579, Time  0.446579
2021-09-25 04:58:38.037924 : Epoch  4, Batch    542, Loss  0.864202, Average Loss  0.871120, Time  0.449491
2021-09-25 04:58:39.465775 : Epoch  4, Batch    215, Loss  0.879452, Average Loss  0.871619, Time  0.448901
2021-09-25 04:58:44.216095 : Epoch  4, Batch    543, Loss  0.866107, Average Loss  0.871098, Time  0.458003
2021-09-25 04:58:50.395908 : Epoch  4, Batch    544, Loss  0.882642, Average Loss  0.871171, Time  0.449294
2021-09-25 04:58:54.343828 : Epoch  4, Batch    216, Loss  0.869174, Average Loss  0.871607, Time  0.463434
2021-09-25 04:58:56.559061 : Epoch  4, Batch    545, Loss  0.877499, Average Loss  0.871233, Time  0.447573
2021-09-25 04:59:02.726862 : Epoch  4, Batch    546, Loss  0.870683, Average Loss  0.871196, Time  0.449619
2021-09-25 04:59:08.909722 : Epoch  4, Batch    547, Loss  0.877464, Average Loss  0.871306, Time  0.449865
2021-09-25 04:59:15.069389 : Epoch  4, Batch    548, Loss  0.877113, Average Loss  0.871353, Time  0.446946
2021-09-25 04:59:21.237440 : Epoch  4, Batch    549, Loss  0.878575, Average Loss  0.871421, Time  0.455307
2021-09-25 04:59:27.372165 : Epoch  4, Batch    550, Loss  0.861761, Average Loss  0.871374, Time  0.447063
2021-09-25 04:59:33.503945 : Epoch  4, Batch    551, Loss  0.872517, Average Loss  0.871360, Time  0.447448
2021-09-25 04:59:39.657977 : Epoch  4, Batch    552, Loss  0.878949, Average Loss  0.871394, Time  0.445350
2021-09-25 04:59:45.795571 : Epoch  4, Batch    553, Loss  0.873039, Average Loss  0.871354, Time  0.447107
2021-09-25 04:59:51.956100 : Epoch  4, Batch    554, Loss  0.861976, Average Loss  0.871319, Time  0.445111
2021-09-25 04:59:58.113935 : Epoch  4, Batch    555, Loss  0.874563, Average Loss  0.871384, Time  0.445916
2021-09-25 05:00:04.286520 : Epoch  4, Batch    556, Loss  0.870960, Average Loss  0.871357, Time  0.459761
2021-09-25 05:00:10.429995 : Epoch  4, Batch    557, Loss  0.890259, Average Loss  0.871417, Time  0.447736
2021-09-25 05:00:16.571497 : Epoch  4, Batch    558, Loss  0.858716, Average Loss  0.871409, Time  0.446937
2021-09-25 05:00:22.733833 : Epoch  4, Batch    559, Loss  0.867641, Average Loss  0.871343, Time  0.445484
2021-09-25 05:00:28.908791 : Epoch  4, Batch    560, Loss  0.863884, Average Loss  0.871344, Time  0.449476
2021-09-25 05:00:35.088245 : Epoch  4, Batch    561, Loss  0.868150, Average Loss  0.871343, Time  0.448796
2021-09-25 05:00:41.260509 : Epoch  4, Batch    562, Loss  0.866324, Average Loss  0.871265, Time  0.446475
2021-09-25 05:00:47.431981 : Epoch  4, Batch    563, Loss  0.870473, Average Loss  0.871248, Time  0.447291
2021-09-25 05:00:53.595942 : Epoch  4, Batch    564, Loss  0.862068, Average Loss  0.871181, Time  0.457937
2021-09-25 05:00:59.748557 : Epoch  4, Batch    565, Loss  0.869623, Average Loss  0.871221, Time  0.449439
2021-09-25 05:01:05.942950 : Epoch  4, Batch    566, Loss  0.875834, Average Loss  0.871214, Time  0.447613
2021-09-25 05:01:12.086852 : Epoch  4, Batch    567, Loss  0.862621, Average Loss  0.871138, Time  0.446664
2021-09-25 05:01:18.227670 : Epoch  4, Batch    568, Loss  0.886243, Average Loss  0.871157, Time  0.448835
2021-09-25 05:01:24.395711 : Epoch  4, Batch    569, Loss  0.875961, Average Loss  0.871180, Time  0.448928
2021-09-25 05:01:30.558226 : Epoch  4, Batch    570, Loss  0.885426, Average Loss  0.871217, Time  0.448826
2021-09-25 05:01:36.741832 : Epoch  4, Batch    571, Loss  0.853537, Average Loss  0.871136, Time  0.455979
2021-09-25 05:01:42.881054 : Epoch  4, Batch    572, Loss  0.858707, Average Loss  0.871084, Time  0.445851
2021-09-25 05:01:49.017691 : Epoch  4, Batch    573, Loss  0.865187, Average Loss  0.871028, Time  0.445378
2021-09-25 05:01:55.157409 : Epoch  4, Batch    574, Loss  0.870041, Average Loss  0.870990, Time  0.446940
2021-09-25 05:02:01.329836 : Epoch  4, Batch    575, Loss  0.873845, Average Loss  0.871035, Time  0.447410
2021-09-25 05:02:07.488119 : Epoch  4, Batch    576, Loss  0.879287, Average Loss  0.871049, Time  0.447172
2021-09-25 05:02:13.633950 : Epoch  4, Batch    577, Loss  0.862455, Average Loss  0.871058, Time  0.447181
2021-09-25 05:02:19.765628 : Epoch  4, Batch    578, Loss  0.869608, Average Loss  0.871093, Time  0.448071
2021-09-25 05:02:25.909355 : Epoch  4, Batch    579, Loss  0.865957, Average Loss  0.871010, Time  0.454420
2021-09-25 05:02:32.080485 : Epoch  4, Batch    580, Loss  0.874880, Average Loss  0.870913, Time  0.447760
2021-09-25 05:02:38.197621 : Epoch  4, Batch    581, Loss  0.870885, Average Loss  0.870903, Time  0.447426
2021-09-25 05:02:44.339168 : Epoch  4, Batch    582, Loss  0.855633, Average Loss  0.870895, Time  0.448650
2021-09-25 05:02:50.514632 : Epoch  4, Batch    583, Loss  0.872275, Average Loss  0.870885, Time  0.445867
2021-09-25 05:02:56.664975 : Epoch  4, Batch    584, Loss  0.852344, Average Loss  0.870752, Time  0.448387
2021-09-25 05:03:02.840055 : Epoch  4, Batch    585, Loss  0.865789, Average Loss  0.870678, Time  0.447684
2021-09-25 05:03:09.017299 : Epoch  4, Batch    586, Loss  0.868196, Average Loss  0.870589, Time  0.455042
2021-09-25 05:03:15.168479 : Epoch  4, Batch    587, Loss  0.866971, Average Loss  0.870551, Time  0.448696
2021-09-25 05:03:21.344989 : Epoch  4, Batch    588, Loss  0.877905, Average Loss  0.870531, Time  0.447371
2021-09-25 05:03:27.500033 : Epoch  4, Batch    589, Loss  0.861414, Average Loss  0.870508, Time  0.445370
2021-09-25 05:03:33.643601 : Epoch  4, Batch    590, Loss  0.874078, Average Loss  0.870469, Time  0.448837
2021-09-25 05:03:39.795382 : Epoch  4, Batch    591, Loss  0.880023, Average Loss  0.870451, Time  0.447144
2021-09-25 05:03:45.943964 : Epoch  4, Batch    592, Loss  0.874045, Average Loss  0.870416, Time  0.447003
2021-09-25 05:03:46.496449 : CheckPoint: Validation Loss  0.00015531, Best Loss  0.00014852
2021-09-25 05:03:52.086147 : Epoch  4, Batch    593, Loss  0.873361, Average Loss  0.870373, Time  0.445273
2021-09-25 05:03:52.629897 : Epoch  4, Batch    217, Loss  0.862694, Average Loss  0.871615, Time  0.448722
2021-09-25 05:03:58.237986 : Epoch  4, Batch    594, Loss  0.875152, Average Loss  0.870389, Time  0.458317
2021-09-25 05:03:58.735659 : Epoch  4, Batch    218, Loss  0.869548, Average Loss  0.871545, Time  0.445779
2021-09-25 05:04:04.395146 : Epoch  4, Batch    595, Loss  0.868998, Average Loss  0.870409, Time  0.451473
2021-09-25 05:04:04.837004 : Epoch  4, Batch    219, Loss  0.876925, Average Loss  0.871495, Time  0.448999
2021-09-25 05:04:10.532118 : Epoch  4, Batch    596, Loss  0.875738, Average Loss  0.870440, Time  0.447838
2021-09-25 05:04:10.915855 : Epoch  4, Batch    220, Loss  0.878576, Average Loss  0.871562, Time  0.445840
2021-09-25 05:04:16.665373 : Epoch  4, Batch    597, Loss  0.877533, Average Loss  0.870486, Time  0.460140
2021-09-25 05:04:17.003726 : Epoch  4, Batch    221, Loss  0.866400, Average Loss  0.871558, Time  0.460630
2021-09-25 05:04:22.802200 : Epoch  4, Batch    598, Loss  0.871318, Average Loss  0.870401, Time  0.450044
2021-09-25 05:04:23.113021 : Epoch  4, Batch    222, Loss  0.889701, Average Loss  0.871629, Time  0.448879
2021-09-25 05:04:28.949512 : Epoch  4, Batch    599, Loss  0.871502, Average Loss  0.870359, Time  0.447288
2021-09-25 05:04:29.229862 : Epoch  4, Batch    223, Loss  0.850268, Average Loss  0.871445, Time  0.446809
2021-09-25 05:04:35.103291 : Epoch  4, Batch    600, Loss  0.851615, Average Loss  0.870284, Time  0.446374
2021-09-25 05:04:35.356898 : Epoch  4, Batch    224, Loss  0.872156, Average Loss  0.871462, Time  0.448466
2021-09-25 05:04:41.254933 : Epoch  4, Batch    601, Loss  0.876609, Average Loss  0.870305, Time  0.456929
2021-09-25 05:04:41.458809 : Epoch  4, Batch    225, Loss  0.880686, Average Loss  0.871492, Time  0.447638
2021-09-25 05:04:47.436798 : Epoch  4, Batch    602, Loss  0.871128, Average Loss  0.870327, Time  0.451241
2021-09-25 05:04:47.561096 : Epoch  4, Batch    226, Loss  0.871441, Average Loss  0.871456, Time  0.447953
2021-09-25 05:04:53.586126 : Epoch  4, Batch    603, Loss  0.862962, Average Loss  0.870338, Time  0.446088
2021-09-25 05:04:53.657456 : Epoch  4, Batch    227, Loss  0.869956, Average Loss  0.871419, Time  0.447925
2021-09-25 05:04:59.764960 : Epoch  4, Batch    604, Loss  0.870081, Average Loss  0.870299, Time  0.449183
2021-09-25 05:04:59.803871 : Epoch  4, Batch    228, Loss  0.873800, Average Loss  0.871464, Time  0.461747
2021-09-25 05:05:05.890427 : Epoch  4, Batch    229, Loss  0.848868, Average Loss  0.871339, Time  0.446528
2021-09-25 05:05:06.016465 : Epoch  4, Batch    605, Loss  0.876195, Average Loss  0.870342, Time  0.453584
2021-09-25 05:05:11.978673 : Epoch  4, Batch    230, Loss  0.886318, Average Loss  0.871368, Time  0.445756
2021-09-25 05:05:12.167729 : Epoch  4, Batch    606, Loss  0.877872, Average Loss  0.870336, Time  0.446102
2021-09-25 05:05:18.058810 : Epoch  4, Batch    231, Loss  0.860409, Average Loss  0.871269, Time  0.446310
2021-09-25 05:05:18.337433 : Epoch  4, Batch    607, Loss  0.861268, Average Loss  0.870274, Time  0.448110
2021-09-25 05:05:24.134831 : Epoch  4, Batch    232, Loss  0.873724, Average Loss  0.871323, Time  0.445688
2021-09-25 05:05:24.494668 : Epoch  4, Batch    608, Loss  0.873551, Average Loss  0.870260, Time  0.445706
2021-09-25 05:05:30.243897 : Epoch  4, Batch    233, Loss  0.851801, Average Loss  0.871185, Time  0.447339
2021-09-25 05:05:30.661542 : Epoch  4, Batch    609, Loss  0.876302, Average Loss  0.870299, Time  0.459473
2021-09-25 05:05:36.319179 : Epoch  4, Batch    234, Loss  0.867350, Average Loss  0.871165, Time  0.449196
2021-09-25 05:05:36.799028 : Epoch  4, Batch    610, Loss  0.857777, Average Loss  0.870280, Time  0.447158
2021-09-25 05:05:42.408792 : Epoch  4, Batch    235, Loss  0.865635, Average Loss  0.871094, Time  0.445376
2021-09-25 05:05:42.943958 : Epoch  4, Batch    611, Loss  0.871344, Average Loss  0.870280, Time  0.446027
2021-09-25 05:05:48.489548 : Epoch  4, Batch    236, Loss  0.878832, Average Loss  0.871175, Time  0.455590
2021-09-25 05:05:49.089453 : Epoch  4, Batch    612, Loss  0.867502, Average Loss  0.870326, Time  0.445611
2021-09-25 05:05:54.598931 : Epoch  4, Batch    237, Loss  0.861052, Average Loss  0.871151, Time  0.446503
2021-09-25 05:05:55.260709 : Epoch  4, Batch    613, Loss  0.873491, Average Loss  0.870252, Time  0.448035
2021-09-25 05:06:00.679836 : Epoch  4, Batch    238, Loss  0.874388, Average Loss  0.871160, Time  0.445936
2021-09-25 05:06:01.416881 : Epoch  4, Batch    614, Loss  0.873088, Average Loss  0.870352, Time  0.449802
2021-09-25 05:06:06.770854 : Epoch  4, Batch    239, Loss  0.888897, Average Loss  0.871226, Time  0.445594
2021-09-25 05:06:07.574059 : Epoch  4, Batch    615, Loss  0.870399, Average Loss  0.870343, Time  0.445746
2021-09-25 05:06:12.859910 : Epoch  4, Batch    240, Loss  0.865918, Average Loss  0.871260, Time  0.445336
2021-09-25 05:06:13.730809 : Epoch  4, Batch    616, Loss  0.863364, Average Loss  0.870300, Time  0.462185
2021-09-25 05:06:18.970293 : Epoch  4, Batch    241, Loss  0.863336, Average Loss  0.871246, Time  0.447485
2021-09-25 05:06:25.083973 : Epoch  4, Batch    242, Loss  0.863481, Average Loss  0.871273, Time  0.445471
2021-09-25 05:06:31.192149 : Epoch  4, Batch    243, Loss  0.874674, Average Loss  0.871249, Time  0.463449
2021-09-25 05:06:37.274138 : Epoch  4, Batch    244, Loss  0.872052, Average Loss  0.871261, Time  0.447196
2021-09-25 05:06:43.372838 : Epoch  4, Batch    245, Loss  0.871454, Average Loss  0.871213, Time  0.449797
2021-09-25 05:06:49.452801 : Epoch  4, Batch    246, Loss  0.868940, Average Loss  0.871192, Time  0.446707
2021-09-25 05:06:55.580903 : Epoch  4, Batch    247, Loss  0.863997, Average Loss  0.871180, Time  0.447582
2021-09-25 05:07:01.661035 : Epoch  4, Batch    248, Loss  0.845353, Average Loss  0.871052, Time  0.446707
2021-09-25 05:07:07.761961 : Epoch  4, Batch    249, Loss  0.871331, Average Loss  0.871062, Time  0.445532
2021-09-25 05:07:13.839811 : Epoch  4, Batch    250, Loss  0.867293, Average Loss  0.871088, Time  0.445653
2021-09-25 05:07:19.912141 : Epoch  4, Batch    251, Loss  0.861734, Average Loss  0.870990, Time  0.455098
2021-09-25 05:07:26.000337 : Epoch  4, Batch    252, Loss  0.865048, Average Loss  0.870950, Time  0.446058
2021-09-25 05:07:32.096831 : Epoch  4, Batch    253, Loss  0.873457, Average Loss  0.870948, Time  0.448452
2021-09-25 05:07:38.185556 : Epoch  4, Batch    254, Loss  0.870138, Average Loss  0.870949, Time  0.448017
2021-09-25 05:07:44.273211 : Epoch  4, Batch    255, Loss  0.870414, Average Loss  0.870846, Time  0.448332
2021-09-25 05:07:50.408795 : Epoch  4, Batch    256, Loss  0.867815, Average Loss  0.870809, Time  0.451163
2021-09-25 05:07:56.493555 : Epoch  4, Batch    257, Loss  0.872476, Average Loss  0.870814, Time  0.447383
2021-09-25 05:08:02.547769 : Epoch  4, Batch    258, Loss  0.864174, Average Loss  0.870763, Time  0.458880
2021-09-25 05:08:08.585356 : Epoch  4, Batch    259, Loss  0.868325, Average Loss  0.870786, Time  0.449539
2021-09-25 05:08:14.626548 : Epoch  4, Batch    260, Loss  0.865957, Average Loss  0.870789, Time  0.447906
2021-09-25 05:08:20.671846 : Epoch  4, Batch    261, Loss  0.872351, Average Loss  0.870640, Time  0.447501
2021-09-25 05:08:26.732504 : Epoch  4, Batch    262, Loss  0.874439, Average Loss  0.870691, Time  0.446219
2021-09-25 05:08:32.799013 : Epoch  4, Batch    263, Loss  0.861323, Average Loss  0.870652, Time  0.455115
2021-09-25 05:08:38.865878 : Epoch  4, Batch    264, Loss  0.853225, Average Loss  0.870554, Time  0.446601
2021-09-25 05:08:44.923205 : Epoch  4, Batch    265, Loss  0.871144, Average Loss  0.870529, Time  0.446961
2021-09-25 05:08:50.970954 : Epoch  4, Batch    266, Loss  0.870215, Average Loss  0.870646, Time  0.457068
2021-09-25 05:08:57.037239 : Epoch  4, Batch    267, Loss  0.854715, Average Loss  0.870608, Time  0.449067
2021-09-25 05:09:03.083253 : Epoch  4, Batch    268, Loss  0.859092, Average Loss  0.870534, Time  0.448240
2021-09-25 05:09:09.132680 : Epoch  4, Batch    269, Loss  0.872152, Average Loss  0.870546, Time  0.447922
2021-09-25 05:09:15.222913 : Epoch  4, Batch    270, Loss  0.863282, Average Loss  0.870527, Time  0.450360
2021-09-25 05:09:21.308708 : Epoch  4, Batch    271, Loss  0.890655, Average Loss  0.870667, Time  0.453342
2021-09-25 05:09:27.368651 : Epoch  4, Batch    272, Loss  0.868024, Average Loss  0.870677, Time  0.446421
2021-09-25 05:09:33.426557 : Epoch  4, Batch    273, Loss  0.871846, Average Loss  0.870658, Time  0.456837
2021-09-25 05:09:39.506813 : Epoch  4, Batch    274, Loss  0.873365, Average Loss  0.870665, Time  0.450274
2021-09-25 05:09:45.558541 : Epoch  4, Batch    275, Loss  0.883790, Average Loss  0.870649, Time  0.446964
2021-09-25 05:09:51.625665 : Epoch  4, Batch    276, Loss  0.854289, Average Loss  0.870503, Time  0.445412
2021-09-25 05:09:57.709806 : Epoch  4, Batch    277, Loss  0.869385, Average Loss  0.870564, Time  0.448717
2021-09-25 05:10:03.770070 : Epoch  4, Batch    278, Loss  0.890420, Average Loss  0.870701, Time  0.450612
2021-09-25 05:10:09.846202 : Epoch  4, Batch    279, Loss  0.866222, Average Loss  0.870643, Time  0.447984
2021-09-25 05:10:15.910370 : Epoch  4, Batch    280, Loss  0.869759, Average Loss  0.870657, Time  0.446646
2021-09-25 05:10:21.968203 : Epoch  4, Batch    281, Loss  0.865542, Average Loss  0.870644, Time  0.460895
2021-09-25 05:10:28.032482 : Epoch  4, Batch    282, Loss  0.887804, Average Loss  0.870716, Time  0.447639
2021-09-25 05:10:34.086397 : Epoch  4, Batch    283, Loss  0.864034, Average Loss  0.870668, Time  0.446823
2021-09-25 05:10:40.144237 : Epoch  4, Batch    284, Loss  0.874664, Average Loss  0.870695, Time  0.446033
2021-09-25 05:10:46.190812 : Epoch  4, Batch    285, Loss  0.853926, Average Loss  0.870560, Time  0.447163
2021-09-25 05:10:52.270245 : Epoch  4, Batch    286, Loss  0.869757, Average Loss  0.870610, Time  0.448519
2021-09-25 05:10:58.320829 : Epoch  4, Batch    287, Loss  0.867909, Average Loss  0.870605, Time  0.449772
2021-09-25 05:11:02.900218 : CheckPoint: Validation Loss  0.00015098, Best Loss  0.00014804
2021-09-25 05:11:04.367710 : Epoch  4, Batch    288, Loss  0.874438, Average Loss  0.870603, Time  0.458000
2021-09-25 05:11:09.018343 : Epoch  4, Batch    617, Loss  0.862063, Average Loss  0.870252, Time  0.447022
2021-09-25 05:11:10.418823 : Epoch  4, Batch    289, Loss  0.877384, Average Loss  0.870606, Time  0.447837
2021-09-25 05:11:15.120449 : Epoch  4, Batch    618, Loss  0.874768, Average Loss  0.870236, Time  0.448107
2021-09-25 05:11:16.487297 : Epoch  4, Batch    290, Loss  0.873376, Average Loss  0.870604, Time  0.447507
2021-09-25 05:11:21.210646 : Epoch  4, Batch    619, Loss  0.874964, Average Loss  0.870218, Time  0.446076
2021-09-25 05:11:22.555844 : Epoch  4, Batch    291, Loss  0.868514, Average Loss  0.870671, Time  0.449355
2021-09-25 05:11:27.361369 : Epoch  4, Batch    620, Loss  0.865890, Average Loss  0.870236, Time  0.448332
2021-09-25 05:11:28.668445 : Epoch  4, Batch    292, Loss  0.867480, Average Loss  0.870649, Time  0.453418
2021-09-25 05:11:33.487325 : Epoch  4, Batch    621, Loss  0.871591, Average Loss  0.870238, Time  0.447385
2021-09-25 05:11:34.744378 : Epoch  4, Batch    293, Loss  0.872714, Average Loss  0.870628, Time  0.448060
2021-09-25 05:11:39.593706 : Epoch  4, Batch    622, Loss  0.866761, Average Loss  0.870230, Time  0.455741
2021-09-25 05:11:40.816831 : Epoch  4, Batch    294, Loss  0.859366, Average Loss  0.870589, Time  0.447601
2021-09-25 05:11:45.713133 : Epoch  4, Batch    623, Loss  0.861110, Average Loss  0.870147, Time  0.446014
2021-09-25 05:11:46.874066 : Epoch  4, Batch    295, Loss  0.870232, Average Loss  0.870542, Time  0.445468
2021-09-25 05:11:51.829438 : Epoch  4, Batch    624, Loss  0.868102, Average Loss  0.870153, Time  0.445717
2021-09-25 05:11:53.006061 : Epoch  4, Batch    296, Loss  0.867350, Average Loss  0.870534, Time  0.455188
2021-09-25 05:11:57.955165 : Epoch  4, Batch    625, Loss  0.867761, Average Loss  0.870141, Time  0.449459
2021-09-25 05:11:59.077973 : Epoch  4, Batch    297, Loss  0.873773, Average Loss  0.870571, Time  0.448601
2021-09-25 05:12:04.076858 : Epoch  4, Batch    626, Loss  0.885342, Average Loss  0.870211, Time  0.446487
2021-09-25 05:12:05.140824 : Epoch  4, Batch    298, Loss  0.877127, Average Loss  0.870670, Time  0.446693
2021-09-25 05:12:10.203843 : Epoch  4, Batch    627, Loss  0.872272, Average Loss  0.870224, Time  0.450284
2021-09-25 05:12:11.209474 : Epoch  4, Batch    299, Loss  0.865486, Average Loss  0.870606, Time  0.445874
2021-09-25 05:12:16.331342 : Epoch  4, Batch    628, Loss  0.870683, Average Loss  0.870213, Time  0.447989
2021-09-25 05:12:17.293376 : Epoch  4, Batch    300, Loss  0.858457, Average Loss  0.870539, Time  0.450984
2021-09-25 05:12:22.470496 : Epoch  4, Batch    629, Loss  0.869478, Average Loss  0.870183, Time  0.457551
2021-09-25 05:12:23.385431 : Epoch  4, Batch    301, Loss  0.881052, Average Loss  0.870593, Time  0.445731
2021-09-25 05:12:28.582515 : Epoch  4, Batch    630, Loss  0.892640, Average Loss  0.870289, Time  0.445744
2021-09-25 05:12:29.467803 : Epoch  4, Batch    302, Loss  0.869692, Average Loss  0.870529, Time  0.447713
2021-09-25 05:12:34.713335 : Epoch  4, Batch    631, Loss  0.870968, Average Loss  0.870318, Time  0.448991
2021-09-25 05:12:35.551041 : Epoch  4, Batch    303, Loss  0.872667, Average Loss  0.870581, Time  0.465177
2021-09-25 05:12:40.816066 : Epoch  4, Batch    632, Loss  0.871278, Average Loss  0.870360, Time  0.447401
2021-09-25 05:12:41.608190 : Epoch  4, Batch    304, Loss  0.872683, Average Loss  0.870525, Time  0.446565
2021-09-25 05:12:46.905798 : Epoch  4, Batch    633, Loss  0.876456, Average Loss  0.870458, Time  0.446073
2021-09-25 05:12:47.675988 : Epoch  4, Batch    305, Loss  0.862043, Average Loss  0.870571, Time  0.446673
2021-09-25 05:12:53.025454 : Epoch  4, Batch    634, Loss  0.890671, Average Loss  0.870532, Time  0.445648
2021-09-25 05:12:53.753492 : Epoch  4, Batch    306, Loss  0.860943, Average Loss  0.870513, Time  0.445366
2021-09-25 05:12:59.134593 : Epoch  4, Batch    635, Loss  0.857421, Average Loss  0.870471, Time  0.445721
2021-09-25 05:12:59.818087 : Epoch  4, Batch    307, Loss  0.868020, Average Loss  0.870538, Time  0.450631
2021-09-25 05:13:05.245426 : Epoch  4, Batch    636, Loss  0.860368, Average Loss  0.870424, Time  0.448855
2021-09-25 05:13:05.872684 : Epoch  4, Batch    308, Loss  0.859952, Average Loss  0.870444, Time  0.445378
2021-09-25 05:13:11.388797 : Epoch  4, Batch    637, Loss  0.877384, Average Loss  0.870420, Time  0.463060
2021-09-25 05:13:11.941873 : Epoch  4, Batch    309, Loss  0.887228, Average Loss  0.870497, Time  0.448025
2021-09-25 05:13:17.514914 : Epoch  4, Batch    638, Loss  0.875010, Average Loss  0.870439, Time  0.445534
2021-09-25 05:13:18.005020 : Epoch  4, Batch    310, Loss  0.870170, Average Loss  0.870466, Time  0.446076
2021-09-25 05:13:23.637797 : Epoch  4, Batch    639, Loss  0.874734, Average Loss  0.870384, Time  0.445576
2021-09-25 05:13:24.071246 : Epoch  4, Batch    311, Loss  0.874642, Average Loss  0.870464, Time  0.457704
2021-09-25 05:13:29.749895 : Epoch  4, Batch    640, Loss  0.872664, Average Loss  0.870396, Time  0.445463
2021-09-25 05:13:30.148627 : Epoch  4, Batch    312, Loss  0.872216, Average Loss  0.870414, Time  0.450706
2021-09-25 05:13:35.865061 : Epoch  4, Batch    641, Loss  0.872264, Average Loss  0.870373, Time  0.448472
2021-09-25 05:13:36.187907 : Epoch  4, Batch    313, Loss  0.877317, Average Loss  0.870454, Time  0.446887
2021-09-25 05:13:41.991975 : Epoch  4, Batch    642, Loss  0.866824, Average Loss  0.870382, Time  0.446750
2021-09-25 05:13:42.247015 : Epoch  4, Batch    314, Loss  0.848909, Average Loss  0.870363, Time  0.446569
2021-09-25 05:13:48.115298 : Epoch  4, Batch    643, Loss  0.872564, Average Loss  0.870418, Time  0.445883
2021-09-25 05:13:48.314047 : Epoch  4, Batch    315, Loss  0.868552, Average Loss  0.870342, Time  0.449532
2021-09-25 05:13:54.248810 : Epoch  4, Batch    644, Loss  0.862110, Average Loss  0.870402, Time  0.457495
2021-09-25 05:13:54.382922 : Epoch  4, Batch    316, Loss  0.873999, Average Loss  0.870331, Time  0.446310
2021-09-25 05:14:00.394848 : Epoch  4, Batch    645, Loss  0.864145, Average Loss  0.870362, Time  0.447336
2021-09-25 05:14:06.520480 : Epoch  4, Batch    646, Loss  0.857104, Average Loss  0.870304, Time  0.445632
2021-09-25 05:14:12.623601 : Epoch  4, Batch    647, Loss  0.861740, Average Loss  0.870306, Time  0.445098
2021-09-25 05:14:18.729717 : Epoch  4, Batch    648, Loss  0.882727, Average Loss  0.870429, Time  0.450293
2021-09-25 05:14:24.847575 : Epoch  4, Batch    649, Loss  0.869926, Average Loss  0.870419, Time  0.445709
2021-09-25 05:14:30.974833 : Epoch  4, Batch    650, Loss  0.871379, Average Loss  0.870380, Time  0.445507
2021-09-25 05:14:37.107393 : Epoch  4, Batch    651, Loss  0.889796, Average Loss  0.870490, Time  0.447916
2021-09-25 05:14:43.229814 : Epoch  4, Batch    652, Loss  0.874598, Average Loss  0.870462, Time  0.461851
2021-09-25 05:14:49.338681 : Epoch  4, Batch    653, Loss  0.863017, Average Loss  0.870452, Time  0.446223
2021-09-25 05:14:55.468295 : Epoch  4, Batch    654, Loss  0.870281, Average Loss  0.870533, Time  0.448075
2021-09-25 05:15:01.577808 : Epoch  4, Batch    655, Loss  0.872174, Average Loss  0.870478, Time  0.446077
2021-09-25 05:15:07.686423 : Epoch  4, Batch    656, Loss  0.862007, Average Loss  0.870490, Time  0.445342
2021-09-25 05:15:13.795882 : Epoch  4, Batch    657, Loss  0.874074, Average Loss  0.870567, Time  0.447325
2021-09-25 05:15:19.908816 : Epoch  4, Batch    658, Loss  0.854353, Average Loss  0.870537, Time  0.445760
2021-09-25 05:15:26.042727 : Epoch  4, Batch    659, Loss  0.861269, Average Loss  0.870527, Time  0.451241
2021-09-25 05:15:32.177283 : Epoch  4, Batch    660, Loss  0.879428, Average Loss  0.870595, Time  0.450801
2021-09-25 05:15:38.305182 : Epoch  4, Batch    661, Loss  0.850835, Average Loss  0.870529, Time  0.455126
2021-09-25 05:15:44.426659 : Epoch  4, Batch    662, Loss  0.860720, Average Loss  0.870411, Time  0.446380
2021-09-25 05:15:50.563171 : Epoch  4, Batch    663, Loss  0.889100, Average Loss  0.870487, Time  0.450649
2021-09-25 05:15:56.687395 : Epoch  4, Batch    664, Loss  0.880843, Average Loss  0.870538, Time  0.448879
2021-09-25 05:16:02.848389 : Epoch  4, Batch    665, Loss  0.856579, Average Loss  0.870432, Time  0.448620
2021-09-25 05:16:08.986698 : Epoch  4, Batch    666, Loss  0.877011, Average Loss  0.870465, Time  0.450327
2021-09-25 05:16:15.111106 : Epoch  4, Batch    667, Loss  0.887215, Average Loss  0.870559, Time  0.457563
2021-09-25 05:16:21.219849 : Epoch  4, Batch    668, Loss  0.867922, Average Loss  0.870481, Time  0.445537
2021-09-25 05:16:27.349265 : Epoch  4, Batch    669, Loss  0.871702, Average Loss  0.870560, Time  0.447488
2021-09-25 05:16:33.474810 : Epoch  4, Batch    670, Loss  0.857695, Average Loss  0.870543, Time  0.447919
2021-09-25 05:16:39.621955 : Epoch  4, Batch    671, Loss  0.862235, Average Loss  0.870537, Time  0.448758
2021-09-25 05:16:45.771470 : Epoch  4, Batch    672, Loss  0.873979, Average Loss  0.870573, Time  0.447699
2021-09-25 05:16:51.898771 : Epoch  4, Batch    673, Loss  0.874353, Average Loss  0.870606, Time  0.448213
2021-09-25 05:16:58.015840 : Epoch  4, Batch    674, Loss  0.874686, Average Loss  0.870672, Time  0.465003
2021-09-25 05:17:04.127512 : Epoch  4, Batch    675, Loss  0.854119, Average Loss  0.870614, Time  0.446721
2021-09-25 05:17:10.244822 : Epoch  4, Batch    676, Loss  0.855687, Average Loss  0.870464, Time  0.446549
2021-09-25 05:17:16.353021 : Epoch  4, Batch    677, Loss  0.867871, Average Loss  0.870459, Time  0.450914
2021-09-25 05:17:22.488168 : Epoch  4, Batch    678, Loss  0.866891, Average Loss  0.870507, Time  0.445853
2021-09-25 05:17:28.606337 : Epoch  4, Batch    679, Loss  0.854068, Average Loss  0.870389, Time  0.445281
2021-09-25 05:17:34.760001 : Epoch  4, Batch    680, Loss  0.884710, Average Loss  0.870455, Time  0.448963
2021-09-25 05:17:40.886416 : Epoch  4, Batch    681, Loss  0.871555, Average Loss  0.870441, Time  0.448749
2021-09-25 05:17:47.032163 : Epoch  4, Batch    682, Loss  0.869190, Average Loss  0.870382, Time  0.461265
2021-09-25 05:17:53.159820 : Epoch  4, Batch    683, Loss  0.880842, Average Loss  0.870379, Time  0.445629
2021-09-25 05:17:59.293490 : Epoch  4, Batch    684, Loss  0.872892, Average Loss  0.870366, Time  0.445771
2021-09-25 05:18:05.436860 : Epoch  4, Batch    685, Loss  0.870667, Average Loss  0.870298, Time  0.447845
2021-09-25 05:18:11.546302 : Epoch  4, Batch    686, Loss  0.872578, Average Loss  0.870326, Time  0.446261
2021-09-25 05:18:17.666688 : Epoch  4, Batch    687, Loss  0.852062, Average Loss  0.870208, Time  0.445517
2021-09-25 05:18:23.798098 : Epoch  4, Batch    688, Loss  0.867484, Average Loss  0.870157, Time  0.447595
2021-09-25 05:18:29.934117 : Epoch  4, Batch    689, Loss  0.880128, Average Loss  0.870187, Time  0.463863
2021-09-25 05:18:36.058337 : Epoch  4, Batch    690, Loss  0.867373, Average Loss  0.870219, Time  0.446282
2021-09-25 05:18:42.176820 : Epoch  4, Batch    691, Loss  0.866579, Average Loss  0.870232, Time  0.448542
2021-09-25 05:18:45.152870 : CheckPoint: Validation Loss  0.00015302, Best Loss  0.00014852
2021-09-25 05:18:48.274810 : Epoch  4, Batch    692, Loss  0.875066, Average Loss  0.870202, Time  0.445560
2021-09-25 05:18:51.217038 : Epoch  4, Batch    317, Loss  0.864185, Average Loss  0.870310, Time  0.447428
2021-09-25 05:18:54.379119 : Epoch  4, Batch    693, Loss  0.858871, Average Loss  0.870126, Time  0.445749
2021-09-25 05:18:57.299556 : Epoch  4, Batch    318, Loss  0.878413, Average Loss  0.870432, Time  0.450303
2021-09-25 05:19:00.483399 : Epoch  4, Batch    694, Loss  0.881624, Average Loss  0.870130, Time  0.446548
2021-09-25 05:19:03.393951 : Epoch  4, Batch    319, Loss  0.873379, Average Loss  0.870513, Time  0.447996
2021-09-25 05:19:06.590827 : Epoch  4, Batch    695, Loss  0.879510, Average Loss  0.870257, Time  0.446884
2021-09-25 05:19:09.483657 : Epoch  4, Batch    320, Loss  0.858592, Average Loss  0.870370, Time  0.455251
2021-09-25 05:19:12.695537 : Epoch  4, Batch    696, Loss  0.874959, Average Loss  0.870200, Time  0.446398
2021-09-25 05:19:15.551793 : Epoch  4, Batch    321, Loss  0.879418, Average Loss  0.870368, Time  0.445186
2021-09-25 05:19:18.843181 : Epoch  4, Batch    697, Loss  0.881189, Average Loss  0.870251, Time  0.455109
2021-09-25 05:19:21.629618 : Epoch  4, Batch    322, Loss  0.874214, Average Loss  0.870366, Time  0.448528
2021-09-25 05:19:24.961899 : Epoch  4, Batch    698, Loss  0.853705, Average Loss  0.870214, Time  0.448588
2021-09-25 05:19:27.692285 : Epoch  4, Batch    323, Loss  0.881262, Average Loss  0.870475, Time  0.447057
2021-09-25 05:19:31.077816 : Epoch  4, Batch    699, Loss  0.875500, Average Loss  0.870159, Time  0.447855
2021-09-25 05:19:33.767238 : Epoch  4, Batch    324, Loss  0.863902, Average Loss  0.870468, Time  0.463140
2021-09-25 05:19:37.198072 : Epoch  4, Batch    700, Loss  0.866477, Average Loss  0.870128, Time  0.448399
2021-09-25 05:19:39.845577 : Epoch  4, Batch    325, Loss  0.870575, Average Loss  0.870568, Time  0.448105
2021-09-25 05:19:43.316039 : Epoch  4, Batch    701, Loss  0.870165, Average Loss  0.870110, Time  0.445871
2021-09-25 05:19:45.897323 : Epoch  4, Batch    326, Loss  0.876827, Average Loss  0.870587, Time  0.445803
2021-09-25 05:19:49.419523 : Epoch  4, Batch    702, Loss  0.876717, Average Loss  0.870150, Time  0.446138
2021-09-25 05:19:51.958687 : Epoch  4, Batch    327, Loss  0.885178, Average Loss  0.870565, Time  0.447792
2021-09-25 05:19:55.531678 : Epoch  4, Batch    703, Loss  0.852187, Average Loss  0.870016, Time  0.450579
2021-09-25 05:19:58.026987 : Epoch  4, Batch    328, Loss  0.862590, Average Loss  0.870540, Time  0.445613
2021-09-25 05:20:01.653767 : Epoch  4, Batch    704, Loss  0.882568, Average Loss  0.870047, Time  0.460898
2021-09-25 05:20:04.090415 : Epoch  4, Batch    329, Loss  0.866536, Average Loss  0.870522, Time  0.448154
2021-09-25 05:20:07.750768 : Epoch  4, Batch    705, Loss  0.868682, Average Loss  0.870010, Time  0.449667
2021-09-25 05:20:10.148601 : Epoch  4, Batch    330, Loss  0.873935, Average Loss  0.870519, Time  0.448493
2021-09-25 05:20:13.860771 : Epoch  4, Batch    706, Loss  0.857128, Average Loss  0.869926, Time  0.444989
2021-09-25 05:20:16.236843 : Epoch  4, Batch    331, Loss  0.880795, Average Loss  0.870554, Time  0.463111
2021-09-25 05:20:19.980881 : Epoch  4, Batch    707, Loss  0.871320, Average Loss  0.869946, Time  0.447290
2021-09-25 05:20:22.319837 : Epoch  4, Batch    332, Loss  0.860027, Average Loss  0.870534, Time  0.445604
2021-09-25 05:20:26.083634 : Epoch  4, Batch    708, Loss  0.857851, Average Loss  0.869856, Time  0.446878
2021-09-25 05:20:28.399398 : Epoch  4, Batch    333, Loss  0.854654, Average Loss  0.870463, Time  0.446964
2021-09-25 05:20:32.200266 : Epoch  4, Batch    709, Loss  0.872216, Average Loss  0.869809, Time  0.449815
2021-09-25 05:20:34.490412 : Epoch  4, Batch    334, Loss  0.860531, Average Loss  0.870300, Time  0.451216
2021-09-25 05:20:38.320935 : Epoch  4, Batch    710, Loss  0.889709, Average Loss  0.869834, Time  0.448565
2021-09-25 05:20:40.569875 : Epoch  4, Batch    335, Loss  0.865122, Average Loss  0.870297, Time  0.447803
2021-09-25 05:20:44.431589 : Epoch  4, Batch    711, Loss  0.860939, Average Loss  0.869695, Time  0.447967
2021-09-25 05:20:46.636234 : Epoch  4, Batch    336, Loss  0.878771, Average Loss  0.870330, Time  0.448831
2021-09-25 05:20:50.558896 : Epoch  4, Batch    712, Loss  0.871716, Average Loss  0.869646, Time  0.458426
2021-09-25 05:20:52.697623 : Epoch  4, Batch    337, Loss  0.875110, Average Loss  0.870396, Time  0.445637
2021-09-25 05:20:56.674740 : Epoch  4, Batch    713, Loss  0.866781, Average Loss  0.869558, Time  0.446975
2021-09-25 05:20:58.772487 : Epoch  4, Batch    338, Loss  0.861536, Average Loss  0.870310, Time  0.446605
2021-09-25 05:21:02.775870 : Epoch  4, Batch    714, Loss  0.877950, Average Loss  0.869638, Time  0.445840
2021-09-25 05:21:04.901702 : Epoch  4, Batch    339, Loss  0.869715, Average Loss  0.870266, Time  0.462664
2021-09-25 05:21:08.874673 : Epoch  4, Batch    715, Loss  0.879246, Average Loss  0.869650, Time  0.445645
2021-09-25 05:21:10.962321 : Epoch  4, Batch    340, Loss  0.877895, Average Loss  0.870354, Time  0.447313
2021-09-25 05:21:14.982938 : Epoch  4, Batch    716, Loss  0.868611, Average Loss  0.869574, Time  0.444996
2021-09-25 05:21:17.010948 : Epoch  4, Batch    341, Loss  0.875112, Average Loss  0.870423, Time  0.448280
2021-09-25 05:21:23.087058 : Epoch  4, Batch    342, Loss  0.873950, Average Loss  0.870442, Time  0.446745
2021-09-25 05:21:29.151107 : Epoch  4, Batch    343, Loss  0.851832, Average Loss  0.870368, Time  0.451678
2021-09-25 05:21:35.205448 : Epoch  4, Batch    344, Loss  0.853945, Average Loss  0.870256, Time  0.446978
2021-09-25 05:21:41.267779 : Epoch  4, Batch    345, Loss  0.881332, Average Loss  0.870333, Time  0.445323
2021-09-25 05:21:47.337316 : Epoch  4, Batch    346, Loss  0.873579, Average Loss  0.870288, Time  0.460114
2021-09-25 05:21:53.429299 : Epoch  4, Batch    347, Loss  0.862460, Average Loss  0.870263, Time  0.449787
2021-09-25 05:21:59.496802 : Epoch  4, Batch    348, Loss  0.892989, Average Loss  0.870345, Time  0.447493
2021-09-25 05:22:05.558664 : Epoch  4, Batch    349, Loss  0.881847, Average Loss  0.870389, Time  0.447711
2021-09-25 05:22:11.625242 : Epoch  4, Batch    350, Loss  0.860523, Average Loss  0.870378, Time  0.446979
2021-09-25 05:22:17.680856 : Epoch  4, Batch    351, Loss  0.880905, Average Loss  0.870398, Time  0.445457
2021-09-25 05:22:23.745556 : Epoch  4, Batch    352, Loss  0.869003, Average Loss  0.870350, Time  0.449781
2021-09-25 05:22:29.810955 : Epoch  4, Batch    353, Loss  0.870480, Average Loss  0.870309, Time  0.446677
2021-09-25 05:22:35.885271 : Epoch  4, Batch    354, Loss  0.894630, Average Loss  0.870539, Time  0.453718
2021-09-25 05:22:41.911701 : Epoch  4, Batch    355, Loss  0.862405, Average Loss  0.870445, Time  0.449659
2021-09-25 05:22:47.976442 : Epoch  4, Batch    356, Loss  0.869975, Average Loss  0.870491, Time  0.450447
2021-09-25 05:22:54.018823 : Epoch  4, Batch    357, Loss  0.867484, Average Loss  0.870458, Time  0.447693
2021-09-25 05:23:00.078772 : Epoch  4, Batch    358, Loss  0.880005, Average Loss  0.870590, Time  0.449219
2021-09-25 05:23:06.137281 : Epoch  4, Batch    359, Loss  0.867691, Average Loss  0.870510, Time  0.446460
2021-09-25 05:23:12.206204 : Epoch  4, Batch    360, Loss  0.858566, Average Loss  0.870446, Time  0.448415
2021-09-25 05:23:18.276494 : Epoch  4, Batch    361, Loss  0.876287, Average Loss  0.870516, Time  0.461097
2021-09-25 05:23:24.333984 : Epoch  4, Batch    362, Loss  0.860721, Average Loss  0.870439, Time  0.447011
2021-09-25 05:23:30.393872 : Epoch  4, Batch    363, Loss  0.873255, Average Loss  0.870509, Time  0.448223
2021-09-25 05:23:36.470028 : Epoch  4, Batch    364, Loss  0.867565, Average Loss  0.870480, Time  0.446538
2021-09-25 05:23:42.595959 : Epoch  4, Batch    365, Loss  0.874466, Average Loss  0.870365, Time  0.446164
2021-09-25 05:23:48.672805 : Epoch  4, Batch    366, Loss  0.874192, Average Loss  0.870446, Time  0.449002
2021-09-25 05:23:54.772913 : Epoch  4, Batch    367, Loss  0.893029, Average Loss  0.870493, Time  0.450512
2021-09-25 05:24:00.825147 : Epoch  4, Batch    368, Loss  0.871678, Average Loss  0.870483, Time  0.447246
2021-09-25 05:24:06.885847 : Epoch  4, Batch    369, Loss  0.879476, Average Loss  0.870546, Time  0.459794
2021-09-25 05:24:12.934870 : Epoch  4, Batch    370, Loss  0.866942, Average Loss  0.870494, Time  0.445944
2021-09-25 05:24:18.997967 : Epoch  4, Batch    371, Loss  0.857847, Average Loss  0.870459, Time  0.448235
2021-09-25 05:24:25.061273 : Epoch  4, Batch    372, Loss  0.856699, Average Loss  0.870415, Time  0.445854
2021-09-25 05:24:31.133624 : Epoch  4, Batch    373, Loss  0.876826, Average Loss  0.870464, Time  0.448492
2021-09-25 05:24:37.196805 : Epoch  4, Batch    374, Loss  0.868613, Average Loss  0.870384, Time  0.446605
2021-09-25 05:24:43.279379 : Epoch  4, Batch    375, Loss  0.878468, Average Loss  0.870458, Time  0.448782
2021-09-25 05:24:49.343826 : Epoch  4, Batch    376, Loss  0.871634, Average Loss  0.870454, Time  0.459653
2021-09-25 05:24:55.416505 : Epoch  4, Batch    377, Loss  0.855067, Average Loss  0.870364, Time  0.453685
2021-09-25 05:25:01.486185 : Epoch  4, Batch    378, Loss  0.849240, Average Loss  0.870251, Time  0.446552
2021-09-25 05:25:07.553168 : Epoch  4, Batch    379, Loss  0.881353, Average Loss  0.870306, Time  0.446896
2021-09-25 05:25:13.626743 : Epoch  4, Batch    380, Loss  0.874636, Average Loss  0.870297, Time  0.450754
2021-09-25 05:25:19.666939 : Epoch  4, Batch    381, Loss  0.866748, Average Loss  0.870273, Time  0.445337
2021-09-25 05:25:25.712642 : Epoch  4, Batch    382, Loss  0.863039, Average Loss  0.870229, Time  0.445803
2021-09-25 05:25:31.772784 : Epoch  4, Batch    383, Loss  0.883390, Average Loss  0.870270, Time  0.453335
2021-09-25 05:25:37.818967 : Epoch  4, Batch    384, Loss  0.861227, Average Loss  0.870256, Time  0.458697
2021-09-25 05:25:43.866968 : Epoch  4, Batch    385, Loss  0.882459, Average Loss  0.870244, Time  0.446676
2021-09-25 05:25:49.932998 : Epoch  4, Batch    386, Loss  0.864840, Average Loss  0.870234, Time  0.446712
2021-09-25 05:25:55.993879 : Epoch  4, Batch    387, Loss  0.873518, Average Loss  0.870333, Time  0.447038
2021-09-25 05:26:02.092276 : Epoch  4, Batch    388, Loss  0.872411, Average Loss  0.870395, Time  0.447933
2021-09-25 05:26:05.194124 : CheckPoint: Validation Loss  0.00015463, Best Loss  0.00014804
2021-09-25 05:26:08.166132 : Epoch  4, Batch    389, Loss  0.872032, Average Loss  0.870350, Time  0.449813
2021-09-25 05:26:11.362049 : Epoch  4, Batch    717, Loss  0.876961, Average Loss  0.869682, Time  0.462457
2021-09-25 05:26:14.218911 : Epoch  4, Batch    390, Loss  0.853081, Average Loss  0.870227, Time  0.446375
2021-09-25 05:26:17.465983 : Epoch  4, Batch    718, Loss  0.861565, Average Loss  0.869690, Time  0.445478
2021-09-25 05:26:20.311572 : Epoch  4, Batch    391, Loss  0.875816, Average Loss  0.870214, Time  0.483759
2021-09-25 05:26:23.612768 : Epoch  4, Batch    719, Loss  0.872382, Average Loss  0.869684, Time  0.445235
2021-09-25 05:26:26.406133 : Epoch  4, Batch    392, Loss  0.875282, Average Loss  0.870239, Time  0.450227
2021-09-25 05:26:29.763756 : Epoch  4, Batch    720, Loss  0.880964, Average Loss  0.869728, Time  0.447696
2021-09-25 05:26:32.533623 : Epoch  4, Batch    393, Loss  0.873550, Average Loss  0.870312, Time  0.450415
2021-09-25 05:26:35.879190 : Epoch  4, Batch    721, Loss  0.871562, Average Loss  0.869740, Time  0.446673
2021-09-25 05:26:38.632568 : Epoch  4, Batch    394, Loss  0.873629, Average Loss  0.870361, Time  0.449672
2021-09-25 05:26:41.993105 : Epoch  4, Batch    722, Loss  0.869995, Average Loss  0.869737, Time  0.447050
2021-09-25 05:26:43.119790 : Epoch  4, Batch    395, Loss  0.873161, Average Loss  0.870400, Time  0.348512
2021-09-25 05:26:48.103369 : Epoch  4, Batch    723, Loss  0.858689, Average Loss  0.869821, Time  0.445083
2021-09-25 05:26:49.180669 : Epoch  4, Batch    396, Loss  0.868072, Average Loss  0.870370, Time  0.446514
2021-09-25 05:26:54.233748 : Epoch  4, Batch    724, Loss  0.857473, Average Loss  0.869786, Time  0.456575
2021-09-25 05:26:55.261405 : Epoch  4, Batch    397, Loss  0.859884, Average Loss  0.870368, Time  0.446675
2021-09-25 05:27:00.332157 : Epoch  4, Batch    725, Loss  0.876630, Average Loss  0.869877, Time  0.446434
2021-09-25 05:27:01.319921 : Epoch  4, Batch    398, Loss  0.870145, Average Loss  0.870332, Time  0.450091
2021-09-25 05:27:06.497673 : Epoch  4, Batch    726, Loss  0.872702, Average Loss  0.869859, Time  0.447754
2021-09-25 05:27:07.400204 : Epoch  4, Batch    399, Loss  0.869351, Average Loss  0.870268, Time  0.458391
2021-09-25 05:27:12.648084 : Epoch  4, Batch    727, Loss  0.872161, Average Loss  0.869889, Time  0.447913
2021-09-25 05:27:13.482059 : Epoch  4, Batch    400, Loss  0.872976, Average Loss  0.870258, Time  0.446547
2021-09-25 05:27:18.811607 : Epoch  4, Batch    728, Loss  0.869995, Average Loss  0.869882, Time  0.447381
2021-09-25 05:27:19.545902 : Epoch  4, Batch    401, Loss  0.872765, Average Loss  0.870369, Time  0.450459
2021-09-25 05:27:24.925602 : Epoch  4, Batch    729, Loss  0.859908, Average Loss  0.869905, Time  0.445702
2021-09-25 05:27:25.608656 : Epoch  4, Batch    402, Loss  0.875285, Average Loss  0.870364, Time  0.445807
2021-09-25 05:27:31.075931 : Epoch  4, Batch    730, Loss  0.879781, Average Loss  0.870049, Time  0.447227
2021-09-25 05:27:31.675480 : Epoch  4, Batch    403, Loss  0.859426, Average Loss  0.870333, Time  0.445112
2021-09-25 05:27:37.226723 : Epoch  4, Batch    731, Loss  0.876778, Average Loss  0.870102, Time  0.445093
2021-09-25 05:27:37.752017 : Epoch  4, Batch    404, Loss  0.871954, Average Loss  0.870348, Time  0.447987
2021-09-25 05:27:43.378420 : Epoch  4, Batch    732, Loss  0.885965, Average Loss  0.870145, Time  0.457453
2021-09-25 05:27:43.801815 : Epoch  4, Batch    405, Loss  0.875884, Average Loss  0.870351, Time  0.446390
2021-09-25 05:27:49.523619 : Epoch  4, Batch    733, Loss  0.885026, Average Loss  0.870247, Time  0.448478
2021-09-25 05:27:49.872612 : Epoch  4, Batch    406, Loss  0.858496, Average Loss  0.870276, Time  0.460732
2021-09-25 05:27:55.635240 : Epoch  4, Batch    734, Loss  0.877765, Average Loss  0.870331, Time  0.446669
2021-09-25 05:27:55.928097 : Epoch  4, Batch    407, Loss  0.877898, Average Loss  0.870371, Time  0.446448
2021-09-25 05:28:01.765805 : Epoch  4, Batch    735, Loss  0.864133, Average Loss  0.870249, Time  0.448893
2021-09-25 05:28:01.980866 : Epoch  4, Batch    408, Loss  0.885733, Average Loss  0.870484, Time  0.446160
2021-09-25 05:28:07.914559 : Epoch  4, Batch    736, Loss  0.866633, Average Loss  0.870239, Time  0.445918
2021-09-25 05:28:08.044474 : Epoch  4, Batch    409, Loss  0.881148, Average Loss  0.870451, Time  0.448116
2021-09-25 05:28:14.048221 : Epoch  4, Batch    737, Loss  0.882714, Average Loss  0.870316, Time  0.445645
2021-09-25 05:28:14.118780 : Epoch  4, Batch    410, Loss  0.868613, Average Loss  0.870305, Time  0.446288
2021-09-25 05:28:20.183601 : Epoch  4, Batch    411, Loss  0.858773, Average Loss  0.870128, Time  0.445994
2021-09-25 05:28:20.220117 : Epoch  4, Batch    738, Loss  0.865933, Average Loss  0.870364, Time  0.445654
2021-09-25 05:28:26.225610 : Epoch  4, Batch    412, Loss  0.874431, Average Loss  0.870103, Time  0.446941
2021-09-25 05:28:26.347233 : Epoch  4, Batch    739, Loss  0.868926, Average Loss  0.870404, Time  0.454415
2021-09-25 05:28:32.299727 : Epoch  4, Batch    413, Loss  0.869815, Average Loss  0.870089, Time  0.448331
2021-09-25 05:28:32.475714 : Epoch  4, Batch    740, Loss  0.868208, Average Loss  0.870432, Time  0.446215
2021-09-25 05:28:38.354280 : Epoch  4, Batch    414, Loss  0.874922, Average Loss  0.870071, Time  0.457739
2021-09-25 05:28:38.588019 : Epoch  4, Batch    741, Loss  0.873562, Average Loss  0.870457, Time  0.445809
2021-09-25 05:28:44.388011 : Epoch  4, Batch    415, Loss  0.868496, Average Loss  0.870016, Time  0.445845
2021-09-25 05:28:44.738151 : Epoch  4, Batch    742, Loss  0.869575, Average Loss  0.870483, Time  0.448583
2021-09-25 05:28:50.444867 : Epoch  4, Batch    416, Loss  0.858550, Average Loss  0.869963, Time  0.446198
2021-09-25 05:28:50.902522 : Epoch  4, Batch    743, Loss  0.861913, Average Loss  0.870462, Time  0.449120
2021-09-25 05:28:57.058393 : Epoch  4, Batch    744, Loss  0.880468, Average Loss  0.870452, Time  0.449904
2021-09-25 05:29:03.214453 : Epoch  4, Batch    745, Loss  0.861303, Average Loss  0.870371, Time  0.447580
2021-09-25 05:29:09.341684 : Epoch  4, Batch    746, Loss  0.879826, Average Loss  0.870416, Time  0.447872
2021-09-25 05:29:15.493260 : Epoch  4, Batch    747, Loss  0.872667, Average Loss  0.870392, Time  0.455720
2021-09-25 05:29:21.637314 : Epoch  4, Batch    748, Loss  0.859985, Average Loss  0.870307, Time  0.448560
2021-09-25 05:29:27.786493 : Epoch  4, Batch    749, Loss  0.866644, Average Loss  0.870247, Time  0.447161
2021-09-25 05:29:33.897496 : Epoch  4, Batch    750, Loss  0.853723, Average Loss  0.870207, Time  0.449026
2021-09-25 05:29:40.027846 : Epoch  4, Batch    751, Loss  0.863623, Average Loss  0.870162, Time  0.445293
2021-09-25 05:29:46.156240 : Epoch  4, Batch    752, Loss  0.868071, Average Loss  0.870108, Time  0.445329
2021-09-25 05:29:52.254421 : Epoch  4, Batch    753, Loss  0.857495, Average Loss  0.870030, Time  0.445972
2021-09-25 05:29:58.411765 : Epoch  4, Batch    754, Loss  0.876773, Average Loss  0.870104, Time  0.456682
2021-09-25 05:30:04.554742 : Epoch  4, Batch    755, Loss  0.861567, Average Loss  0.870039, Time  0.445083
2021-09-25 05:30:10.673620 : Epoch  4, Batch    756, Loss  0.855003, Average Loss  0.869960, Time  0.446431
2021-09-25 05:30:16.781466 : Epoch  4, Batch    757, Loss  0.870873, Average Loss  0.869863, Time  0.446099
2021-09-25 05:30:22.906692 : Epoch  4, Batch    758, Loss  0.862157, Average Loss  0.869880, Time  0.444978
2021-09-25 05:30:29.009514 : Epoch  4, Batch    759, Loss  0.874789, Average Loss  0.869916, Time  0.444443
2021-09-25 05:30:35.144255 : Epoch  4, Batch    760, Loss  0.875865, Average Loss  0.869975, Time  0.444815
2021-09-25 05:30:41.241112 : Epoch  4, Batch    761, Loss  0.861265, Average Loss  0.869941, Time  0.445491
2021-09-25 05:30:47.385957 : Epoch  4, Batch    762, Loss  0.863876, Average Loss  0.869929, Time  0.462734
2021-09-25 05:30:53.509218 : Epoch  4, Batch    763, Loss  0.872455, Average Loss  0.869939, Time  0.452054
2021-09-25 05:30:59.659276 : Epoch  4, Batch    764, Loss  0.869664, Average Loss  0.869977, Time  0.446113
2021-09-25 05:31:05.764241 : Epoch  4, Batch    765, Loss  0.866328, Average Loss  0.869960, Time  0.445206
2021-09-25 05:31:11.905682 : Epoch  4, Batch    766, Loss  0.877795, Average Loss  0.869970, Time  0.446995
2021-09-25 05:31:18.001742 : Epoch  4, Batch    767, Loss  0.869657, Average Loss  0.870005, Time  0.446695
2021-09-25 05:31:24.141223 : Epoch  4, Batch    768, Loss  0.878489, Average Loss  0.869966, Time  0.445381
2021-09-25 05:31:30.315786 : Epoch  4, Batch    769, Loss  0.876363, Average Loss  0.869968, Time  0.456148
2021-09-25 05:31:36.430541 : Epoch  4, Batch    770, Loss  0.860666, Average Loss  0.869845, Time  0.445451
2021-09-25 05:31:42.549827 : Epoch  4, Batch    771, Loss  0.865452, Average Loss  0.869904, Time  0.446438
2021-09-25 05:31:48.682015 : Epoch  4, Batch    772, Loss  0.892333, Average Loss  0.870072, Time  0.447820
2021-09-25 05:31:54.809514 : Epoch  4, Batch    773, Loss  0.889199, Average Loss  0.870192, Time  0.445231
2021-09-25 05:32:00.931290 : Epoch  4, Batch    774, Loss  0.873971, Average Loss  0.870212, Time  0.449614
2021-09-25 05:32:07.068279 : Epoch  4, Batch    775, Loss  0.862506, Average Loss  0.870155, Time  0.446145
2021-09-25 05:32:13.210870 : Epoch  4, Batch    776, Loss  0.880858, Average Loss  0.870163, Time  0.448594
2021-09-25 05:32:19.349312 : Epoch  4, Batch    777, Loss  0.868179, Average Loss  0.870192, Time  0.452700
2021-09-25 05:32:25.502512 : Epoch  4, Batch    778, Loss  0.888255, Average Loss  0.870285, Time  0.448089
2021-09-25 05:32:31.664637 : Epoch  4, Batch    779, Loss  0.871214, Average Loss  0.870311, Time  0.445415
2021-09-25 05:32:37.812602 : Epoch  4, Batch    780, Loss  0.867676, Average Loss  0.870275, Time  0.447046
2021-09-25 05:32:43.945706 : Epoch  4, Batch    781, Loss  0.874697, Average Loss  0.870294, Time  0.446185
2021-09-25 05:32:50.081297 : Epoch  4, Batch    782, Loss  0.869424, Average Loss  0.870363, Time  0.447992
2021-09-25 05:32:56.219503 : Epoch  4, Batch    783, Loss  0.867396, Average Loss  0.870339, Time  0.445657
2021-09-25 05:33:02.364882 : Epoch  4, Batch    784, Loss  0.865509, Average Loss  0.870405, Time  0.458532
2021-09-25 05:33:08.514625 : Epoch  4, Batch    785, Loss  0.875266, Average Loss  0.870452, Time  0.447599
2021-09-25 05:33:14.654081 : Epoch  4, Batch    786, Loss  0.878533, Average Loss  0.870504, Time  0.446774
2021-09-25 05:33:20.801351 : Epoch  4, Batch    787, Loss  0.859976, Average Loss  0.870469, Time  0.446523
2021-09-25 05:33:26.926864 : Epoch  4, Batch    788, Loss  0.870315, Average Loss  0.870431, Time  0.446123
2021-09-25 05:33:33.049405 : Epoch  4, Batch    789, Loss  0.866748, Average Loss  0.870458, Time  0.445075
2021-09-25 05:33:39.141353 : Epoch  4, Batch    790, Loss  0.864977, Average Loss  0.870412, Time  0.445779
2021-09-25 05:33:41.001599 : CheckPoint: Validation Loss  0.00015156, Best Loss  0.00014852
2021-09-25 05:33:45.291359 : Epoch  4, Batch    791, Loss  0.869478, Average Loss  0.870359, Time  0.446758
2021-09-25 05:33:47.080973 : Epoch  4, Batch    417, Loss  0.853417, Average Loss  0.869916, Time  0.447706
2021-09-25 05:33:51.447870 : Epoch  4, Batch    792, Loss  0.887019, Average Loss  0.870424, Time  0.458258
2021-09-25 05:33:53.153713 : Epoch  4, Batch    418, Loss  0.855757, Average Loss  0.869847, Time  0.448512
2021-09-25 05:33:57.573885 : Epoch  4, Batch    793, Loss  0.867788, Average Loss  0.870396, Time  0.447489
2021-09-25 05:33:59.231642 : Epoch  4, Batch    419, Loss  0.871450, Average Loss  0.869820, Time  0.454638
2021-09-25 05:34:03.688686 : Epoch  4, Batch    794, Loss  0.881917, Average Loss  0.870430, Time  0.448225
2021-09-25 05:34:05.300777 : Epoch  4, Batch    420, Loss  0.880652, Average Loss  0.869830, Time  0.445100
2021-09-25 05:34:09.831821 : Epoch  4, Batch    795, Loss  0.857871, Average Loss  0.870375, Time  0.445814
2021-09-25 05:34:11.378081 : Epoch  4, Batch    421, Loss  0.886533, Average Loss  0.869931, Time  0.447959
2021-09-25 05:34:15.953659 : Epoch  4, Batch    796, Loss  0.879200, Average Loss  0.870392, Time  0.445734
2021-09-25 05:34:17.438375 : Epoch  4, Batch    422, Loss  0.867109, Average Loss  0.869818, Time  0.450283
2021-09-25 05:34:22.121809 : Epoch  4, Batch    797, Loss  0.846231, Average Loss  0.870235, Time  0.445987
2021-09-25 05:34:23.527857 : Epoch  4, Batch    423, Loss  0.873386, Average Loss  0.869934, Time  0.445525
2021-09-25 05:34:28.273049 : Epoch  4, Batch    798, Loss  0.876697, Average Loss  0.870262, Time  0.445147
2021-09-25 05:34:29.602427 : Epoch  4, Batch    424, Loss  0.866979, Average Loss  0.869908, Time  0.450094
2021-09-25 05:34:34.421391 : Epoch  4, Batch    799, Loss  0.883763, Average Loss  0.870324, Time  0.459894
2021-09-25 05:34:35.656297 : Epoch  4, Batch    425, Loss  0.883262, Average Loss  0.869921, Time  0.447338
2021-09-25 05:34:40.613051 : Epoch  4, Batch    800, Loss  0.875923, Average Loss  0.870445, Time  0.445636
2021-09-25 05:34:41.722948 : Epoch  4, Batch    426, Loss  0.880569, Average Loss  0.869966, Time  0.446629
2021-09-25 05:34:46.772732 : Epoch  4, Batch    801, Loss  0.862208, Average Loss  0.870373, Time  0.447277
2021-09-25 05:34:47.863136 : Epoch  4, Batch    427, Loss  0.873243, Average Loss  0.869983, Time  0.456810
2021-09-25 05:34:52.887877 : Epoch  4, Batch    802, Loss  0.858734, Average Loss  0.870311, Time  0.446583
2021-09-25 05:34:53.916591 : Epoch  4, Batch    428, Loss  0.870756, Average Loss  0.869968, Time  0.446406
2021-09-25 05:34:59.005252 : Epoch  4, Batch    803, Loss  0.869886, Average Loss  0.870346, Time  0.444991
2021-09-25 05:35:00.017471 : Epoch  4, Batch    429, Loss  0.849608, Average Loss  0.869971, Time  0.454393
2021-09-25 05:35:05.185034 : Epoch  4, Batch    804, Loss  0.872042, Average Loss  0.870356, Time  0.451281
2021-09-25 05:35:06.073899 : Epoch  4, Batch    430, Loss  0.883291, Average Loss  0.869956, Time  0.445763
2021-09-25 05:35:11.328634 : Epoch  4, Batch    805, Loss  0.851062, Average Loss  0.870230, Time  0.445172
2021-09-25 05:35:12.135185 : Epoch  4, Batch    431, Loss  0.867386, Average Loss  0.869991, Time  0.446017
2021-09-25 05:35:17.463699 : Epoch  4, Batch    806, Loss  0.874807, Average Loss  0.870215, Time  0.447424
2021-09-25 05:35:18.202889 : Epoch  4, Batch    432, Loss  0.873569, Average Loss  0.869990, Time  0.446136
2021-09-25 05:35:23.648671 : Epoch  4, Batch    807, Loss  0.870914, Average Loss  0.870263, Time  0.455136
2021-09-25 05:35:24.248171 : Epoch  4, Batch    433, Loss  0.897136, Average Loss  0.870217, Time  0.446249
2021-09-25 05:35:29.783918 : Epoch  4, Batch    808, Loss  0.876222, Average Loss  0.870276, Time  0.445282
2021-09-25 05:35:30.317239 : Epoch  4, Batch    434, Loss  0.859906, Average Loss  0.870180, Time  0.455170
2021-09-25 05:35:35.953703 : Epoch  4, Batch    809, Loss  0.861422, Average Loss  0.870202, Time  0.449088
2021-09-25 05:35:36.380427 : Epoch  4, Batch    435, Loss  0.875431, Average Loss  0.870229, Time  0.447063
2021-09-25 05:35:42.097967 : Epoch  4, Batch    810, Loss  0.890510, Average Loss  0.870365, Time  0.448263
2021-09-25 05:35:42.461952 : Epoch  4, Batch    436, Loss  0.866727, Average Loss  0.870168, Time  0.448468
2021-09-25 05:35:48.218784 : Epoch  4, Batch    811, Loss  0.871787, Average Loss  0.870368, Time  0.446906
2021-09-25 05:35:48.515545 : Epoch  4, Batch    437, Loss  0.878787, Average Loss  0.870257, Time  0.447716
2021-09-25 05:35:54.336610 : Epoch  4, Batch    812, Loss  0.872535, Average Loss  0.870393, Time  0.445330
2021-09-25 05:35:54.562391 : Epoch  4, Batch    438, Loss  0.860859, Average Loss  0.870189, Time  0.446649
2021-09-25 05:36:00.462038 : Epoch  4, Batch    813, Loss  0.858683, Average Loss  0.870319, Time  0.445013
2021-09-25 05:36:00.628813 : Epoch  4, Batch    439, Loss  0.877450, Average Loss  0.870132, Time  0.445520
2021-09-25 05:36:06.644355 : Epoch  4, Batch    814, Loss  0.875254, Average Loss  0.870330, Time  0.461139
2021-09-25 05:36:06.699002 : Epoch  4, Batch    440, Loss  0.883956, Average Loss  0.870222, Time  0.446712
2021-09-25 05:36:12.750713 : Epoch  4, Batch    441, Loss  0.873557, Average Loss  0.870273, Time  0.448870
2021-09-25 05:36:12.797089 : Epoch  4, Batch    815, Loss  0.875974, Average Loss  0.870357, Time  0.446522
2021-09-25 05:36:18.841831 : Epoch  4, Batch    442, Loss  0.885633, Average Loss  0.870384, Time  0.461439
2021-09-25 05:36:18.929748 : Epoch  4, Batch    816, Loss  0.861813, Average Loss  0.870350, Time  0.447556
2021-09-25 05:36:24.955701 : Epoch  4, Batch    443, Loss  0.865821, Average Loss  0.870340, Time  0.455976
2021-09-25 05:36:31.029867 : Epoch  4, Batch    444, Loss  0.872017, Average Loss  0.870340, Time  0.445916
2021-09-25 05:36:37.109757 : Epoch  4, Batch    445, Loss  0.880359, Average Loss  0.870384, Time  0.446051
2021-09-25 05:36:43.179903 : Epoch  4, Batch    446, Loss  0.871734, Average Loss  0.870398, Time  0.447685
2021-09-25 05:36:49.241244 : Epoch  4, Batch    447, Loss  0.884583, Average Loss  0.870501, Time  0.447619
2021-09-25 05:36:55.295947 : Epoch  4, Batch    448, Loss  0.871074, Average Loss  0.870630, Time  0.445141
2021-09-25 05:37:01.365341 : Epoch  4, Batch    449, Loss  0.869741, Average Loss  0.870622, Time  0.461192
2021-09-25 05:37:07.431946 : Epoch  4, Batch    450, Loss  0.863941, Average Loss  0.870605, Time  0.446167
2021-09-25 05:37:13.491271 : Epoch  4, Batch    451, Loss  0.873971, Average Loss  0.870666, Time  0.445466
2021-09-25 05:37:19.538853 : Epoch  4, Batch    452, Loss  0.878347, Average Loss  0.870733, Time  0.446980
2021-09-25 05:37:25.596955 : Epoch  4, Batch    453, Loss  0.886201, Average Loss  0.870796, Time  0.449082
2021-09-25 05:37:31.649753 : Epoch  4, Batch    454, Loss  0.876812, Average Loss  0.870830, Time  0.446214
2021-09-25 05:37:37.704617 : Epoch  4, Batch    455, Loss  0.876834, Average Loss  0.870862, Time  0.448555
2021-09-25 05:37:43.762932 : Epoch  4, Batch    456, Loss  0.870916, Average Loss  0.870877, Time  0.445343
2021-09-25 05:37:49.828174 : Epoch  4, Batch    457, Loss  0.872104, Average Loss  0.870875, Time  0.456409
2021-09-25 05:37:55.900469 : Epoch  4, Batch    458, Loss  0.876318, Average Loss  0.870936, Time  0.445781
2021-09-25 05:38:01.946083 : Epoch  4, Batch    459, Loss  0.866876, Average Loss  0.870929, Time  0.446632
2021-09-25 05:38:08.006054 : Epoch  4, Batch    460, Loss  0.873800, Average Loss  0.870968, Time  0.445738
2021-09-25 05:38:14.071886 : Epoch  4, Batch    461, Loss  0.891665, Average Loss  0.871065, Time  0.445411
2021-09-25 05:38:20.154937 : Epoch  4, Batch    462, Loss  0.874971, Average Loss  0.871067, Time  0.447765
2021-09-25 05:38:26.222879 : Epoch  4, Batch    463, Loss  0.877471, Average Loss  0.871148, Time  0.447713
2021-09-25 05:38:32.309944 : Epoch  4, Batch    464, Loss  0.871045, Average Loss  0.871237, Time  0.458586
2021-09-25 05:38:38.403126 : Epoch  4, Batch    465, Loss  0.865212, Average Loss  0.871208, Time  0.448220
2021-09-25 05:38:44.492821 : Epoch  4, Batch    466, Loss  0.871867, Average Loss  0.871216, Time  0.450093
2021-09-25 05:38:50.554461 : Epoch  4, Batch    467, Loss  0.881270, Average Loss  0.871349, Time  0.451138
2021-09-25 05:38:56.599614 : Epoch  4, Batch    468, Loss  0.862444, Average Loss  0.871365, Time  0.446842
2021-09-25 05:39:02.661546 : Epoch  4, Batch    469, Loss  0.878215, Average Loss  0.871396, Time  0.445841
2021-09-25 05:39:08.751897 : Epoch  4, Batch    470, Loss  0.877777, Average Loss  0.871468, Time  0.449258
2021-09-25 05:39:14.837507 : Epoch  4, Batch    471, Loss  0.865303, Average Loss  0.871341, Time  0.448622
2021-09-25 05:39:20.898317 : Epoch  4, Batch    472, Loss  0.855294, Average Loss  0.871278, Time  0.458180
2021-09-25 05:39:26.949238 : Epoch  4, Batch    473, Loss  0.875479, Average Loss  0.871296, Time  0.445242
2021-09-25 05:39:33.015909 : Epoch  4, Batch    474, Loss  0.858160, Average Loss  0.871220, Time  0.445792
2021-09-25 05:39:39.087354 : Epoch  4, Batch    475, Loss  0.862983, Average Loss  0.871116, Time  0.449804
2021-09-25 05:39:45.168038 : Epoch  4, Batch    476, Loss  0.881838, Average Loss  0.871254, Time  0.446970
2021-09-25 05:39:51.280662 : Epoch  4, Batch    477, Loss  0.858880, Average Loss  0.871201, Time  0.447807
2021-09-25 05:39:57.351830 : Epoch  4, Batch    478, Loss  0.875821, Average Loss  0.871128, Time  0.447412
2021-09-25 05:40:03.421428 : Epoch  4, Batch    479, Loss  0.868461, Average Loss  0.871139, Time  0.460232
2021-09-25 05:40:09.475870 : Epoch  4, Batch    480, Loss  0.863347, Average Loss  0.871107, Time  0.446321
2021-09-25 05:40:15.548906 : Epoch  4, Batch    481, Loss  0.867791, Average Loss  0.871118, Time  0.451292
2021-09-25 05:40:21.589236 : Epoch  4, Batch    482, Loss  0.867170, Average Loss  0.871015, Time  0.449060
2021-09-25 05:40:27.647907 : Epoch  4, Batch    483, Loss  0.883712, Average Loss  0.871114, Time  0.446333
2021-09-25 05:40:33.704724 : Epoch  4, Batch    484, Loss  0.874370, Average Loss  0.871112, Time  0.446906
2021-09-25 05:40:39.775077 : Epoch  4, Batch    485, Loss  0.882567, Average Loss  0.871255, Time  0.445770
2021-09-25 05:40:45.856069 : Epoch  4, Batch    486, Loss  0.876428, Average Loss  0.871289, Time  0.452553
2021-09-25 05:40:51.948356 : Epoch  4, Batch    487, Loss  0.884538, Average Loss  0.871372, Time  0.459881
2021-09-25 05:40:58.019141 : Epoch  4, Batch    488, Loss  0.857732, Average Loss  0.871288, Time  0.448315
2021-09-25 05:41:04.084978 : Epoch  4, Batch    489, Loss  0.880245, Average Loss  0.871303, Time  0.446285
2021-09-25 05:41:07.716967 : CheckPoint: Validation Loss  0.00015075, Best Loss  0.00014804
2021-09-25 05:41:10.145976 : Epoch  4, Batch    490, Loss  0.865635, Average Loss  0.871264, Time  0.445069
2021-09-25 05:41:13.853265 : Epoch  4, Batch    817, Loss  0.869520, Average Loss  0.870387, Time  0.446490
2021-09-25 05:41:16.215420 : Epoch  4, Batch    491, Loss  0.876105, Average Loss  0.871302, Time  0.448586
2021-09-25 05:41:19.988113 : Epoch  4, Batch    818, Loss  0.878772, Average Loss  0.870407, Time  0.447075
2021-09-25 05:41:22.287060 : Epoch  4, Batch    492, Loss  0.867299, Average Loss  0.871301, Time  0.447458
2021-09-25 05:41:26.114782 : Epoch  4, Batch    819, Loss  0.876655, Average Loss  0.870415, Time  0.447714
2021-09-25 05:41:28.342993 : Epoch  4, Batch    493, Loss  0.863612, Average Loss  0.871256, Time  0.445902
2021-09-25 05:41:32.263365 : Epoch  4, Batch    820, Loss  0.872344, Average Loss  0.870448, Time  0.459720
2021-09-25 05:41:34.424903 : Epoch  4, Batch    494, Loss  0.881390, Average Loss  0.871366, Time  0.457191
2021-09-25 05:41:38.399269 : Epoch  4, Batch    821, Loss  0.865889, Average Loss  0.870419, Time  0.446899
2021-09-25 05:41:40.492300 : Epoch  4, Batch    495, Loss  0.850740, Average Loss  0.871268, Time  0.444900
2021-09-25 05:41:44.506880 : Epoch  4, Batch    822, Loss  0.872573, Average Loss  0.870448, Time  0.448016
2021-09-25 05:41:46.520936 : Epoch  4, Batch    496, Loss  0.852799, Average Loss  0.871195, Time  0.446019
2021-09-25 05:41:50.646432 : Epoch  4, Batch    823, Loss  0.880634, Average Loss  0.870546, Time  0.446612
2021-09-25 05:41:52.613611 : Epoch  4, Batch    497, Loss  0.862290, Average Loss  0.871138, Time  0.449163
2021-09-25 05:41:56.801943 : Epoch  4, Batch    824, Loss  0.865995, Average Loss  0.870535, Time  0.447429
2021-09-25 05:41:58.669425 : Epoch  4, Batch    498, Loss  0.852096, Average Loss  0.871013, Time  0.446381
2021-09-25 05:42:02.938050 : Epoch  4, Batch    825, Loss  0.878661, Average Loss  0.870590, Time  0.450011
2021-09-25 05:42:04.744972 : Epoch  4, Batch    499, Loss  0.883722, Average Loss  0.871104, Time  0.445616
2021-09-25 05:42:09.041543 : Epoch  4, Batch    826, Loss  0.867329, Average Loss  0.870500, Time  0.444969
2021-09-25 05:42:10.793816 : Epoch  4, Batch    500, Loss  0.853380, Average Loss  0.871079, Time  0.445278
2021-09-25 05:42:15.188833 : Epoch  4, Batch    827, Loss  0.865020, Average Loss  0.870464, Time  0.462731
2021-09-25 05:42:16.861119 : Epoch  4, Batch    501, Loss  0.860725, Average Loss  0.870977, Time  0.445405
2021-09-25 05:42:21.305024 : Epoch  4, Batch    828, Loss  0.878108, Average Loss  0.870501, Time  0.445407
2021-09-25 05:42:22.909196 : Epoch  4, Batch    502, Loss  0.863612, Average Loss  0.870947, Time  0.456254
2021-09-25 05:42:27.420340 : Epoch  4, Batch    829, Loss  0.873575, Average Loss  0.870521, Time  0.449970
2021-09-25 05:42:28.967389 : Epoch  4, Batch    503, Loss  0.863871, Average Loss  0.870903, Time  0.448198
2021-09-25 05:42:33.578769 : Epoch  4, Batch    830, Loss  0.869266, Average Loss  0.870404, Time  0.451887
2021-09-25 05:42:35.071911 : Epoch  4, Batch    504, Loss  0.869952, Average Loss  0.870889, Time  0.449648
2021-09-25 05:42:39.725022 : Epoch  4, Batch    831, Loss  0.868364, Average Loss  0.870391, Time  0.445364
2021-09-25 05:42:41.158210 : Epoch  4, Batch    505, Loss  0.866507, Average Loss  0.870911, Time  0.450778
2021-09-25 05:42:45.860916 : Epoch  4, Batch    832, Loss  0.872681, Average Loss  0.870398, Time  0.447875
2021-09-25 05:42:47.226407 : Epoch  4, Batch    506, Loss  0.863430, Average Loss  0.870924, Time  0.447900
2021-09-25 05:42:52.005539 : Epoch  4, Batch    833, Loss  0.872213, Average Loss  0.870377, Time  0.444697
2021-09-25 05:42:53.287225 : Epoch  4, Batch    507, Loss  0.880366, Average Loss  0.870986, Time  0.446218
2021-09-25 05:42:58.129497 : Epoch  4, Batch    834, Loss  0.876832, Average Loss  0.870308, Time  0.445131
2021-09-25 05:42:59.348902 : Epoch  4, Batch    508, Loss  0.862648, Average Loss  0.870999, Time  0.447710
2021-09-25 05:43:04.274182 : Epoch  4, Batch    835, Loss  0.862825, Average Loss  0.870335, Time  0.453642
2021-09-25 05:43:05.439127 : Epoch  4, Batch    509, Loss  0.871934, Average Loss  0.870923, Time  0.466138
2021-09-25 05:43:10.409397 : Epoch  4, Batch    836, Loss  0.874026, Average Loss  0.870403, Time  0.447668
2021-09-25 05:43:11.506770 : Epoch  4, Batch    510, Loss  0.890402, Average Loss  0.871024, Time  0.446186
2021-09-25 05:43:16.549765 : Epoch  4, Batch    837, Loss  0.871474, Average Loss  0.870374, Time  0.445089
2021-09-25 05:43:17.591565 : Epoch  4, Batch    511, Loss  0.859191, Average Loss  0.870946, Time  0.445875
2021-09-25 05:43:22.728163 : Epoch  4, Batch    838, Loss  0.852147, Average Loss  0.870259, Time  0.448077
2021-09-25 05:43:23.660904 : Epoch  4, Batch    512, Loss  0.864306, Average Loss  0.870907, Time  0.445507
2021-09-25 05:43:28.847946 : Epoch  4, Batch    839, Loss  0.869432, Average Loss  0.870233, Time  0.444536
2021-09-25 05:43:29.718488 : Epoch  4, Batch    513, Loss  0.867468, Average Loss  0.870858, Time  0.445194
2021-09-25 05:43:34.980342 : Epoch  4, Batch    840, Loss  0.866780, Average Loss  0.870203, Time  0.448789
2021-09-25 05:43:35.788828 : Epoch  4, Batch    514, Loss  0.880607, Average Loss  0.871016, Time  0.445824
2021-09-25 05:43:41.112614 : Epoch  4, Batch    841, Loss  0.877172, Average Loss  0.870228, Time  0.448374
2021-09-25 05:43:41.859566 : Epoch  4, Batch    515, Loss  0.881904, Average Loss  0.871083, Time  0.447841
2021-09-25 05:43:47.266294 : Epoch  4, Batch    842, Loss  0.870525, Average Loss  0.870246, Time  0.464378
2021-09-25 05:43:47.904711 : Epoch  4, Batch    516, Loss  0.865115, Average Loss  0.871038, Time  0.446661
2021-09-25 05:43:53.421943 : Epoch  4, Batch    843, Loss  0.878645, Average Loss  0.870277, Time  0.448608
2021-09-25 05:43:59.520899 : Epoch  4, Batch    844, Loss  0.880526, Average Loss  0.870369, Time  0.445337
2021-09-25 05:44:05.621042 : Epoch  4, Batch    845, Loss  0.883742, Average Loss  0.870467, Time  0.445343
2021-09-25 05:44:11.748262 : Epoch  4, Batch    846, Loss  0.857580, Average Loss  0.870469, Time  0.445887
2021-09-25 05:44:17.882128 : Epoch  4, Batch    847, Loss  0.867459, Average Loss  0.870498, Time  0.451928
2021-09-25 05:44:24.016228 : Epoch  4, Batch    848, Loss  0.864560, Average Loss  0.870407, Time  0.444488
2021-09-25 05:44:30.152178 : Epoch  4, Batch    849, Loss  0.857698, Average Loss  0.870346, Time  0.447430
2021-09-25 05:44:36.270251 : Epoch  4, Batch    850, Loss  0.870732, Average Loss  0.870343, Time  0.459283
2021-09-25 05:44:42.404061 : Epoch  4, Batch    851, Loss  0.869883, Average Loss  0.870243, Time  0.445365
2021-09-25 05:44:48.540443 : Epoch  4, Batch    852, Loss  0.859382, Average Loss  0.870167, Time  0.446082
2021-09-25 05:44:54.681082 : Epoch  4, Batch    853, Loss  0.870803, Average Loss  0.870206, Time  0.445548
2021-09-25 05:45:00.824878 : Epoch  4, Batch    854, Loss  0.857310, Average Loss  0.870141, Time  0.452238
2021-09-25 05:45:06.945074 : Epoch  4, Batch    855, Loss  0.867570, Average Loss  0.870118, Time  0.445434
2021-09-25 05:45:13.077749 : Epoch  4, Batch    856, Loss  0.871760, Average Loss  0.870167, Time  0.446336
2021-09-25 05:45:19.215144 : Epoch  4, Batch    857, Loss  0.867831, Average Loss  0.870136, Time  0.460195
2021-09-25 05:45:25.345136 : Epoch  4, Batch    858, Loss  0.880046, Average Loss  0.870264, Time  0.445396
2021-09-25 05:45:31.481765 : Epoch  4, Batch    859, Loss  0.866987, Average Loss  0.870293, Time  0.450917
2021-09-25 05:45:37.583835 : Epoch  4, Batch    860, Loss  0.873335, Average Loss  0.870262, Time  0.445902
2021-09-25 05:45:43.705776 : Epoch  4, Batch    861, Loss  0.874130, Average Loss  0.870379, Time  0.444894
2021-09-25 05:45:49.843152 : Epoch  4, Batch    862, Loss  0.875021, Average Loss  0.870450, Time  0.445024
2021-09-25 05:45:55.979054 : Epoch  4, Batch    863, Loss  0.865935, Average Loss  0.870334, Time  0.445393
2021-09-25 05:46:02.095466 : Epoch  4, Batch    864, Loss  0.872656, Average Loss  0.870293, Time  0.449636
2021-09-25 05:46:08.245575 : Epoch  4, Batch    865, Loss  0.864598, Average Loss  0.870333, Time  0.459648
2021-09-25 05:46:14.376484 : Epoch  4, Batch    866, Loss  0.878443, Average Loss  0.870341, Time  0.446520
2021-09-25 05:46:20.509856 : Epoch  4, Batch    867, Loss  0.865616, Average Loss  0.870233, Time  0.448437
2021-09-25 05:46:26.654521 : Epoch  4, Batch    868, Loss  0.867019, Average Loss  0.870228, Time  0.445731
2021-09-25 05:46:32.826020 : Epoch  4, Batch    869, Loss  0.882857, Average Loss  0.870284, Time  0.450066
2021-09-25 05:46:38.966800 : Epoch  4, Batch    870, Loss  0.864406, Average Loss  0.870317, Time  0.445113
2021-09-25 05:46:45.105881 : Epoch  4, Batch    871, Loss  0.882044, Average Loss  0.870417, Time  0.445648
2021-09-25 05:46:51.258120 : Epoch  4, Batch    872, Loss  0.886273, Average Loss  0.870478, Time  0.459260
2021-09-25 05:46:57.401496 : Epoch  4, Batch    873, Loss  0.856096, Average Loss  0.870387, Time  0.445412
2021-09-25 05:47:03.510532 : Epoch  4, Batch    874, Loss  0.867639, Average Loss  0.870351, Time  0.445260
2021-09-25 05:47:09.662426 : Epoch  4, Batch    875, Loss  0.880222, Average Loss  0.870482, Time  0.445547
2021-09-25 05:47:15.799168 : Epoch  4, Batch    876, Loss  0.861301, Average Loss  0.870510, Time  0.448337
2021-09-25 05:47:21.914650 : Epoch  4, Batch    877, Loss  0.865064, Average Loss  0.870496, Time  0.448526
2021-09-25 05:47:28.071127 : Epoch  4, Batch    878, Loss  0.864887, Average Loss  0.870486, Time  0.447686
2021-09-25 05:47:34.183386 : Epoch  4, Batch    879, Loss  0.857438, Average Loss  0.870503, Time  0.445966
2021-09-25 05:47:40.308857 : Epoch  4, Batch    880, Loss  0.880292, Average Loss  0.870481, Time  0.457048
2021-09-25 05:47:46.441054 : Epoch  4, Batch    881, Loss  0.880424, Average Loss  0.870525, Time  0.445529
2021-09-25 05:47:52.594175 : Epoch  4, Batch    882, Loss  0.860272, Average Loss  0.870481, Time  0.445240
2021-09-25 05:47:58.726177 : Epoch  4, Batch    883, Loss  0.872525, Average Loss  0.870439, Time  0.444693
2021-09-25 05:48:04.861764 : Epoch  4, Batch    884, Loss  0.868512, Average Loss  0.870417, Time  0.445822
2021-09-25 05:48:11.029591 : Epoch  4, Batch    885, Loss  0.875805, Average Loss  0.870443, Time  0.448162
2021-09-25 05:48:17.148426 : Epoch  4, Batch    886, Loss  0.878293, Average Loss  0.870471, Time  0.444857
2021-09-25 05:48:23.300648 : Epoch  4, Batch    887, Loss  0.869209, Average Loss  0.870557, Time  0.457657
2021-09-25 05:48:29.414786 : Epoch  4, Batch    888, Loss  0.871213, Average Loss  0.870576, Time  0.446875
2021-09-25 05:48:35.522978 : Epoch  4, Batch    889, Loss  0.868793, Average Loss  0.870519, Time  0.445506
2021-09-25 05:48:38.107389 : CheckPoint: Validation Loss  0.00015241, Best Loss  0.00014852
2021-09-25 05:48:41.641939 : Epoch  4, Batch    890, Loss  0.880150, Average Loss  0.870583, Time  0.447925
2021-09-25 05:48:44.162491 : Epoch  4, Batch    517, Loss  0.876333, Average Loss  0.871099, Time  0.446605
2021-09-25 05:48:47.739185 : Epoch  4, Batch    891, Loss  0.859508, Average Loss  0.870548, Time  0.447066
2021-09-25 05:48:50.200790 : Epoch  4, Batch    518, Loss  0.861470, Average Loss  0.871014, Time  0.445275
2021-09-25 05:48:53.865880 : Epoch  4, Batch    892, Loss  0.862739, Average Loss  0.870486, Time  0.453253
2021-09-25 05:48:56.240345 : Epoch  4, Batch    519, Loss  0.882859, Average Loss  0.871062, Time  0.446630
2021-09-25 05:48:59.976081 : Epoch  4, Batch    893, Loss  0.860475, Average Loss  0.870494, Time  0.445265
2021-09-25 05:49:02.293754 : Epoch  4, Batch    520, Loss  0.850456, Average Loss  0.871021, Time  0.448610
2021-09-25 05:49:06.106459 : Epoch  4, Batch    894, Loss  0.852587, Average Loss  0.870349, Time  0.444386
2021-09-25 05:49:08.335744 : Epoch  4, Batch    521, Loss  0.876167, Average Loss  0.871005, Time  0.445843
2021-09-25 05:49:12.252265 : Epoch  4, Batch    895, Loss  0.875465, Average Loss  0.870329, Time  0.456372
2021-09-25 05:49:14.410229 : Epoch  4, Batch    522, Loss  0.873008, Average Loss  0.870999, Time  0.455733
2021-09-25 05:49:18.382857 : Epoch  4, Batch    896, Loss  0.865987, Average Loss  0.870284, Time  0.445635
2021-09-25 05:49:20.446861 : Epoch  4, Batch    523, Loss  0.888204, Average Loss  0.871034, Time  0.446751
2021-09-25 05:49:24.495806 : Epoch  4, Batch    897, Loss  0.877466, Average Loss  0.870265, Time  0.446815
2021-09-25 05:49:26.508996 : Epoch  4, Batch    524, Loss  0.867904, Average Loss  0.871054, Time  0.445665
2021-09-25 05:49:30.618801 : Epoch  4, Batch    898, Loss  0.868903, Average Loss  0.870341, Time  0.449183
2021-09-25 05:49:32.572150 : Epoch  4, Batch    525, Loss  0.868463, Average Loss  0.871043, Time  0.445523
2021-09-25 05:49:36.749149 : Epoch  4, Batch    899, Loss  0.883790, Average Loss  0.870382, Time  0.451015
2021-09-25 05:49:38.599785 : Epoch  4, Batch    526, Loss  0.873558, Average Loss  0.871027, Time  0.447806
2021-09-25 05:49:42.882264 : Epoch  4, Batch    900, Loss  0.872031, Average Loss  0.870410, Time  0.445566
2021-09-25 05:49:44.630042 : Epoch  4, Batch    527, Loss  0.874799, Average Loss  0.870975, Time  0.448380
2021-09-25 05:49:48.996700 : Epoch  4, Batch    901, Loss  0.880603, Average Loss  0.870462, Time  0.446000
2021-09-25 05:49:50.667926 : Epoch  4, Batch    528, Loss  0.871513, Average Loss  0.871019, Time  0.447469
2021-09-25 05:49:55.119152 : Epoch  4, Batch    902, Loss  0.857789, Average Loss  0.870368, Time  0.463888
2021-09-25 05:49:56.718111 : Epoch  4, Batch    529, Loss  0.879057, Average Loss  0.871082, Time  0.451507
2021-09-25 05:50:01.222252 : Epoch  4, Batch    903, Loss  0.880076, Average Loss  0.870507, Time  0.444875
2021-09-25 05:50:02.777912 : Epoch  4, Batch    530, Loss  0.875466, Average Loss  0.871090, Time  0.462128
2021-09-25 05:50:07.356027 : Epoch  4, Batch    904, Loss  0.875762, Average Loss  0.870473, Time  0.445960
2021-09-25 05:50:08.853703 : Epoch  4, Batch    531, Loss  0.874593, Average Loss  0.871059, Time  0.449368
2021-09-25 05:50:13.469771 : Epoch  4, Batch    905, Loss  0.864667, Average Loss  0.870453, Time  0.445483
2021-09-25 05:50:14.876548 : Epoch  4, Batch    532, Loss  0.881128, Average Loss  0.871164, Time  0.450805
2021-09-25 05:50:19.544491 : Epoch  4, Batch    906, Loss  0.870654, Average Loss  0.870521, Time  0.445586
2021-09-25 05:50:20.931183 : Epoch  4, Batch    533, Loss  0.882980, Average Loss  0.871306, Time  0.449785
2021-09-25 05:50:25.674700 : Epoch  4, Batch    907, Loss  0.862082, Average Loss  0.870475, Time  0.446957
2021-09-25 05:50:27.000747 : Epoch  4, Batch    534, Loss  0.874068, Average Loss  0.871374, Time  0.449394
2021-09-25 05:50:31.790768 : Epoch  4, Batch    908, Loss  0.876931, Average Loss  0.870570, Time  0.446398
2021-09-25 05:50:33.071859 : Epoch  4, Batch    535, Loss  0.850569, Average Loss  0.871301, Time  0.448373
2021-09-25 05:50:37.915060 : Epoch  4, Batch    909, Loss  0.881923, Average Loss  0.870619, Time  0.446770
2021-09-25 05:50:39.147595 : Epoch  4, Batch    536, Loss  0.875783, Average Loss  0.871286, Time  0.450231
2021-09-25 05:50:44.051261 : Epoch  4, Batch    910, Loss  0.883163, Average Loss  0.870586, Time  0.452841
2021-09-25 05:50:45.223929 : Epoch  4, Batch    537, Loss  0.870744, Average Loss  0.871264, Time  0.463004
2021-09-25 05:50:50.173785 : Epoch  4, Batch    911, Loss  0.861286, Average Loss  0.870588, Time  0.446000
2021-09-25 05:50:51.280446 : Epoch  4, Batch    538, Loss  0.868064, Average Loss  0.871297, Time  0.447639
2021-09-25 05:50:56.316470 : Epoch  4, Batch    912, Loss  0.875342, Average Loss  0.870606, Time  0.449009
2021-09-25 05:50:57.342716 : Epoch  4, Batch    539, Loss  0.865874, Average Loss  0.871277, Time  0.446423
2021-09-25 05:51:02.465340 : Epoch  4, Batch    913, Loss  0.865427, Average Loss  0.870599, Time  0.446401
2021-09-25 05:51:03.401238 : Epoch  4, Batch    540, Loss  0.860925, Average Loss  0.871193, Time  0.450818
2021-09-25 05:51:08.593887 : Epoch  4, Batch    914, Loss  0.868774, Average Loss  0.870553, Time  0.449609
2021-09-25 05:51:09.473305 : Epoch  4, Batch    541, Loss  0.877059, Average Loss  0.871202, Time  0.444993
2021-09-25 05:51:14.714875 : Epoch  4, Batch    915, Loss  0.860472, Average Loss  0.870459, Time  0.452141
2021-09-25 05:51:15.512475 : Epoch  4, Batch    542, Loss  0.871101, Average Loss  0.871188, Time  0.447260
2021-09-25 05:51:20.827473 : Epoch  4, Batch    916, Loss  0.861228, Average Loss  0.870422, Time  0.445225
2021-09-25 05:51:21.561566 : Epoch  4, Batch    543, Loss  0.878445, Average Loss  0.871321, Time  0.451209
2021-09-25 05:51:27.649099 : Epoch  4, Batch    544, Loss  0.876690, Average Loss  0.871435, Time  0.450060
2021-09-25 05:51:33.725602 : Epoch  4, Batch    545, Loss  0.883246, Average Loss  0.871444, Time  0.459946
2021-09-25 05:51:39.763757 : Epoch  4, Batch    546, Loss  0.871303, Average Loss  0.871433, Time  0.446018
2021-09-25 05:51:45.840146 : Epoch  4, Batch    547, Loss  0.877311, Average Loss  0.871507, Time  0.447598
2021-09-25 05:51:51.872780 : Epoch  4, Batch    548, Loss  0.865716, Average Loss  0.871371, Time  0.447272
2021-09-25 05:51:57.934803 : Epoch  4, Batch    549, Loss  0.868897, Average Loss  0.871306, Time  0.445842
2021-09-25 05:52:03.998525 : Epoch  4, Batch    550, Loss  0.881281, Average Loss  0.871410, Time  0.449298
2021-09-25 05:52:10.067922 : Epoch  4, Batch    551, Loss  0.874889, Average Loss  0.871380, Time  0.448474
2021-09-25 05:52:16.144759 : Epoch  4, Batch    552, Loss  0.864555, Average Loss  0.871358, Time  0.463425
2021-09-25 05:52:22.212768 : Epoch  4, Batch    553, Loss  0.858487, Average Loss  0.871298, Time  0.446338
2021-09-25 05:52:28.279790 : Epoch  4, Batch    554, Loss  0.873077, Average Loss  0.871190, Time  0.448203
2021-09-25 05:52:34.332084 : Epoch  4, Batch    555, Loss  0.888011, Average Loss  0.871318, Time  0.446446
2021-09-25 05:52:40.406503 : Epoch  4, Batch    556, Loss  0.865268, Average Loss  0.871294, Time  0.450889
2021-09-25 05:52:46.467849 : Epoch  4, Batch    557, Loss  0.862690, Average Loss  0.871270, Time  0.446275
2021-09-25 05:52:52.516435 : Epoch  4, Batch    558, Loss  0.856993, Average Loss  0.871155, Time  0.449760
2021-09-25 05:52:58.581727 : Epoch  4, Batch    559, Loss  0.876352, Average Loss  0.871199, Time  0.448086
2021-09-25 05:53:04.636091 : Epoch  4, Batch    560, Loss  0.860986, Average Loss  0.871211, Time  0.458753
2021-09-25 05:53:10.691834 : Epoch  4, Batch    561, Loss  0.842006, Average Loss  0.871039, Time  0.445811
2021-09-25 05:53:16.730808 : Epoch  4, Batch    562, Loss  0.869178, Average Loss  0.871082, Time  0.445511
2021-09-25 05:53:22.797498 : Epoch  4, Batch    563, Loss  0.879148, Average Loss  0.871111, Time  0.449857
2021-09-25 05:53:28.837941 : Epoch  4, Batch    564, Loss  0.886944, Average Loss  0.871208, Time  0.447190
2021-09-25 05:53:34.874880 : Epoch  4, Batch    565, Loss  0.862648, Average Loss  0.871149, Time  0.448360
2021-09-25 05:53:40.903263 : Epoch  4, Batch    566, Loss  0.873745, Average Loss  0.871147, Time  0.449161
2021-09-25 05:53:46.968857 : Epoch  4, Batch    567, Loss  0.875044, Average Loss  0.871057, Time  0.454562
2021-09-25 05:53:53.039449 : Epoch  4, Batch    568, Loss  0.864542, Average Loss  0.871021, Time  0.452140
2021-09-25 05:53:59.075222 : Epoch  4, Batch    569, Loss  0.870047, Average Loss  0.870974, Time  0.444998
2021-09-25 05:54:05.115874 : Epoch  4, Batch    570, Loss  0.872952, Average Loss  0.871004, Time  0.447249
2021-09-25 05:54:11.170807 : Epoch  4, Batch    571, Loss  0.863870, Average Loss  0.871034, Time  0.446970
2021-09-25 05:54:17.205796 : Epoch  4, Batch    572, Loss  0.868799, Average Loss  0.871095, Time  0.445347
2021-09-25 05:54:23.246865 : Epoch  4, Batch    573, Loss  0.884784, Average Loss  0.871134, Time  0.446860
2021-09-25 05:54:29.296397 : Epoch  4, Batch    574, Loss  0.862510, Average Loss  0.871104, Time  0.445406
2021-09-25 05:54:35.383029 : Epoch  4, Batch    575, Loss  0.858021, Average Loss  0.871002, Time  0.460116
2021-09-25 05:54:41.443953 : Epoch  4, Batch    576, Loss  0.873553, Average Loss  0.871011, Time  0.446971
2021-09-25 05:54:47.490921 : Epoch  4, Batch    577, Loss  0.872399, Average Loss  0.871098, Time  0.445711
2021-09-25 05:54:53.533207 : Epoch  4, Batch    578, Loss  0.874943, Average Loss  0.871226, Time  0.446384
2021-09-25 05:54:59.601910 : Epoch  4, Batch    579, Loss  0.868546, Average Loss  0.871162, Time  0.445886
2021-09-25 05:55:05.662314 : Epoch  4, Batch    580, Loss  0.868454, Average Loss  0.871131, Time  0.445632
2021-09-25 05:55:11.726283 : Epoch  4, Batch    581, Loss  0.875279, Average Loss  0.871174, Time  0.447287
2021-09-25 05:55:17.794972 : Epoch  4, Batch    582, Loss  0.861054, Average Loss  0.871164, Time  0.459885
2021-09-25 05:55:23.850850 : Epoch  4, Batch    583, Loss  0.877195, Average Loss  0.871133, Time  0.445443
2021-09-25 05:55:29.917839 : Epoch  4, Batch    584, Loss  0.863177, Average Loss  0.871143, Time  0.447782
2021-09-25 05:55:35.969036 : Epoch  4, Batch    585, Loss  0.873238, Average Loss  0.871097, Time  0.446483
2021-09-25 05:55:42.069007 : Epoch  4, Batch    586, Loss  0.867070, Average Loss  0.871108, Time  0.446885
2021-09-25 05:55:48.126751 : Epoch  4, Batch    587, Loss  0.870670, Average Loss  0.871094, Time  0.447144
2021-09-25 05:55:54.182276 : Epoch  4, Batch    588, Loss  0.876762, Average Loss  0.871116, Time  0.445135
2021-09-25 05:56:00.226039 : Epoch  4, Batch    589, Loss  0.879610, Average Loss  0.871153, Time  0.445077
2021-09-25 05:56:06.312212 : Epoch  4, Batch    590, Loss  0.876853, Average Loss  0.871272, Time  0.457472
2021-09-25 05:56:09.641523 : CheckPoint: Validation Loss  0.00014957, Best Loss  0.00014804
2021-09-25 05:56:12.357191 : Epoch  4, Batch    591, Loss  0.866770, Average Loss  0.871227, Time  0.446237
2021-09-25 05:56:15.753578 : Epoch  4, Batch    917, Loss  0.877805, Average Loss  0.870426, Time  0.446408
2021-09-25 05:56:18.422569 : Epoch  4, Batch    592, Loss  0.869495, Average Loss  0.871198, Time  0.456810
2021-09-25 05:56:21.848749 : Epoch  4, Batch    918, Loss  0.863945, Average Loss  0.870438, Time  0.453898
2021-09-25 05:56:24.465197 : Epoch  4, Batch    593, Loss  0.883180, Average Loss  0.871246, Time  0.449013
2021-09-25 05:56:27.951175 : Epoch  4, Batch    919, Loss  0.863444, Average Loss  0.870394, Time  0.446105
2021-09-25 05:56:30.517793 : Epoch  4, Batch    594, Loss  0.872568, Average Loss  0.871241, Time  0.445764
2021-09-25 05:56:34.047806 : Epoch  4, Batch    920, Loss  0.865069, Average Loss  0.870314, Time  0.445011
2021-09-25 05:56:36.588335 : Epoch  4, Batch    595, Loss  0.861554, Average Loss  0.871183, Time  0.447764
2021-09-25 05:56:40.153718 : Epoch  4, Batch    921, Loss  0.872521, Average Loss  0.870319, Time  0.446772
2021-09-25 05:56:42.644071 : Epoch  4, Batch    596, Loss  0.864507, Average Loss  0.871165, Time  0.446288
2021-09-25 05:56:46.264998 : Epoch  4, Batch    922, Loss  0.861701, Average Loss  0.870277, Time  0.447117
2021-09-25 05:56:48.708823 : Epoch  4, Batch    597, Loss  0.880763, Average Loss  0.871270, Time  0.445833
2021-09-25 05:56:52.401529 : Epoch  4, Batch    923, Loss  0.879957, Average Loss  0.870384, Time  0.454689
2021-09-25 05:56:54.778973 : Epoch  4, Batch    598, Loss  0.867801, Average Loss  0.871258, Time  0.462093
2021-09-25 05:56:58.534234 : Epoch  4, Batch    924, Loss  0.873961, Average Loss  0.870466, Time  0.449327
2021-09-25 05:57:00.816356 : Epoch  4, Batch    599, Loss  0.876244, Average Loss  0.871292, Time  0.445240
2021-09-25 05:57:04.647737 : Epoch  4, Batch    925, Loss  0.858714, Average Loss  0.870377, Time  0.446213
2021-09-25 05:57:06.875901 : Epoch  4, Batch    600, Loss  0.870050, Average Loss  0.871278, Time  0.446814
2021-09-25 05:57:10.743608 : Epoch  4, Batch    926, Loss  0.868915, Average Loss  0.870358, Time  0.449529
2021-09-25 05:57:12.934223 : Epoch  4, Batch    601, Loss  0.868115, Average Loss  0.871254, Time  0.445686
2021-09-25 05:57:16.856123 : Epoch  4, Batch    927, Loss  0.860943, Average Loss  0.870302, Time  0.446908
2021-09-25 05:57:19.003677 : Epoch  4, Batch    602, Loss  0.876524, Average Loss  0.871261, Time  0.448530
2021-09-25 05:57:22.961979 : Epoch  4, Batch    928, Loss  0.870005, Average Loss  0.870302, Time  0.445573
2021-09-25 05:57:23.011649 : Saving Model after 4-th Epoch.
2021-09-25 05:57:23.902659 : Epoch Finished.
2021-09-25 05:57:25.067251 : Epoch  4, Batch    603, Loss  0.870162, Average Loss  0.871314, Time  0.446747
2021-09-25 05:57:31.168152 : Epoch  4, Batch    604, Loss  0.857111, Average Loss  0.871240, Time  0.450091
2021-09-25 05:57:31.462235 : Batch Shuffled
2021-09-25 05:57:37.259039 : Epoch  4, Batch    605, Loss  0.868350, Average Loss  0.871202, Time  0.457118
2021-09-25 05:57:37.588283 : Epoch  5, Batch      1, Loss  0.860160, Average Loss  0.870303, Time  0.459353
2021-09-25 05:57:43.309939 : Epoch  4, Batch    606, Loss  0.862731, Average Loss  0.871224, Time  0.446303
2021-09-25 05:57:43.655061 : Epoch  5, Batch      2, Loss  0.885546, Average Loss  0.870332, Time  0.445608
2021-09-25 05:57:49.356015 : Epoch  4, Batch    607, Loss  0.874202, Average Loss  0.871205, Time  0.448534
2021-09-25 05:57:49.735700 : Epoch  5, Batch      3, Loss  0.860600, Average Loss  0.870251, Time  0.444993
2021-09-25 05:57:55.411021 : Epoch  4, Batch    608, Loss  0.866208, Average Loss  0.871107, Time  0.450701
2021-09-25 05:57:55.822706 : Epoch  5, Batch      4, Loss  0.883100, Average Loss  0.870237, Time  0.447974
2021-09-25 05:58:01.472687 : Epoch  4, Batch    609, Loss  0.867021, Average Loss  0.871037, Time  0.446876
2021-09-25 05:58:01.950138 : Epoch  5, Batch      5, Loss  0.866519, Average Loss  0.870144, Time  0.450793
2021-09-25 05:58:07.536624 : Epoch  4, Batch    610, Loss  0.869087, Average Loss  0.871039, Time  0.445854
2021-09-25 05:58:08.060548 : Epoch  5, Batch      6, Loss  0.873605, Average Loss  0.870123, Time  0.448813
2021-09-25 05:58:13.578159 : Epoch  4, Batch    611, Loss  0.867336, Average Loss  0.871082, Time  0.447142
2021-09-25 05:58:14.148449 : Epoch  5, Batch      7, Loss  0.852316, Average Loss  0.870064, Time  0.446044
2021-09-25 05:58:19.639508 : Epoch  4, Batch    612, Loss  0.861294, Average Loss  0.871016, Time  0.445233
2021-09-25 05:58:20.236741 : Epoch  5, Batch      8, Loss  0.868508, Average Loss  0.870074, Time  0.457742
2021-09-25 05:58:25.684532 : Epoch  4, Batch    613, Loss  0.874760, Average Loss  0.871041, Time  0.456638
2021-09-25 05:58:26.320239 : Epoch  5, Batch      9, Loss  0.871082, Average Loss  0.870015, Time  0.445999
2021-09-25 05:58:31.751529 : Epoch  4, Batch    614, Loss  0.867254, Average Loss  0.871003, Time  0.446995
2021-09-25 05:58:32.391840 : Epoch  5, Batch     10, Loss  0.877465, Average Loss  0.870073, Time  0.445644
2021-09-25 05:58:37.804296 : Epoch  4, Batch    615, Loss  0.876866, Average Loss  0.871045, Time  0.445769
2021-09-25 05:58:38.487083 : Epoch  5, Batch     11, Loss  0.866254, Average Loss  0.870060, Time  0.447341
2021-09-25 05:58:43.843439 : Epoch  4, Batch    616, Loss  0.878670, Average Loss  0.871145, Time  0.445513
2021-09-25 05:58:44.579010 : Epoch  5, Batch     12, Loss  0.862242, Average Loss  0.870030, Time  0.447281
2021-09-25 05:58:50.701063 : Epoch  5, Batch     13, Loss  0.880090, Average Loss  0.870062, Time  0.449966
2021-09-25 05:58:56.787014 : Epoch  5, Batch     14, Loss  0.882040, Average Loss  0.870125, Time  0.444956
2021-09-25 05:59:02.875753 : Epoch  5, Batch     15, Loss  0.867825, Average Loss  0.870154, Time  0.445806
2021-09-25 05:59:08.982979 : Epoch  5, Batch     16, Loss  0.883247, Average Loss  0.870168, Time  0.462868
2021-09-25 05:59:15.083666 : Epoch  5, Batch     17, Loss  0.861867, Average Loss  0.870171, Time  0.448514
2021-09-25 05:59:21.193754 : Epoch  5, Batch     18, Loss  0.868407, Average Loss  0.870114, Time  0.455797
2021-09-25 05:59:27.250862 : Epoch  5, Batch     19, Loss  0.867929, Average Loss  0.870090, Time  0.445107
2021-09-25 05:59:33.331760 : Epoch  5, Batch     20, Loss  0.863197, Average Loss  0.870106, Time  0.445219
2021-09-25 05:59:39.424750 : Epoch  5, Batch     21, Loss  0.867782, Average Loss  0.870112, Time  0.445926
2021-09-25 05:59:45.518790 : Epoch  5, Batch     22, Loss  0.863903, Average Loss  0.870163, Time  0.451266
2021-09-25 05:59:51.615840 : Epoch  5, Batch     23, Loss  0.887308, Average Loss  0.870281, Time  0.463155
2021-09-25 05:59:57.705992 : Epoch  5, Batch     24, Loss  0.866229, Average Loss  0.870272, Time  0.447845
2021-09-25 06:00:03.800835 : Epoch  5, Batch     25, Loss  0.877402, Average Loss  0.870372, Time  0.445508
2021-09-25 06:00:09.863776 : Epoch  5, Batch     26, Loss  0.874086, Average Loss  0.870358, Time  0.445306
2021-09-25 06:00:15.948716 : Epoch  5, Batch     27, Loss  0.844042, Average Loss  0.870271, Time  0.446502
2021-09-25 06:00:22.033544 : Epoch  5, Batch     28, Loss  0.881752, Average Loss  0.870404, Time  0.446300
2021-09-25 06:00:28.114599 : Epoch  5, Batch     29, Loss  0.864317, Average Loss  0.870372, Time  0.446121
2021-09-25 06:00:34.206386 : Epoch  5, Batch     30, Loss  0.869324, Average Loss  0.870407, Time  0.445275
2021-09-25 06:00:40.308249 : Epoch  5, Batch     31, Loss  0.864825, Average Loss  0.870358, Time  0.456088
2021-09-25 06:00:46.410110 : Epoch  5, Batch     32, Loss  0.884439, Average Loss  0.870400, Time  0.448427
2021-09-25 06:00:52.501462 : Epoch  5, Batch     33, Loss  0.865547, Average Loss  0.870422, Time  0.450053
2021-09-25 06:00:58.572213 : Epoch  5, Batch     34, Loss  0.854362, Average Loss  0.870374, Time  0.446496
2021-09-25 06:01:04.646691 : Epoch  5, Batch     35, Loss  0.881567, Average Loss  0.870420, Time  0.444979
2021-09-25 06:01:10.723592 : Epoch  5, Batch     36, Loss  0.872602, Average Loss  0.870435, Time  0.448626
2021-09-25 06:01:16.822786 : Epoch  5, Batch     37, Loss  0.869710, Average Loss  0.870451, Time  0.447794
2021-09-25 06:01:22.910713 : Epoch  5, Batch     38, Loss  0.870831, Average Loss  0.870417, Time  0.458340
2021-09-25 06:01:29.000548 : Epoch  5, Batch     39, Loss  0.863111, Average Loss  0.870384, Time  0.445756
2021-09-25 06:01:35.068364 : Epoch  5, Batch     40, Loss  0.866674, Average Loss  0.870325, Time  0.445332
2021-09-25 06:01:41.148630 : Epoch  5, Batch     41, Loss  0.859941, Average Loss  0.870243, Time  0.444937
2021-09-25 06:01:47.245927 : Epoch  5, Batch     42, Loss  0.868639, Average Loss  0.870283, Time  0.448366
2021-09-25 06:01:53.338277 : Epoch  5, Batch     43, Loss  0.861435, Average Loss  0.870263, Time  0.446179
2021-09-25 06:01:59.421470 : Epoch  5, Batch     44, Loss  0.871049, Average Loss  0.870156, Time  0.447310
2021-09-25 06:02:05.523184 : Epoch  5, Batch     45, Loss  0.882325, Average Loss  0.870122, Time  0.445003
2021-09-25 06:02:11.659871 : Epoch  5, Batch     46, Loss  0.865115, Average Loss  0.870077, Time  0.471759
2021-09-25 06:02:17.768206 : Epoch  5, Batch     47, Loss  0.871994, Average Loss  0.870125, Time  0.450236
2021-09-25 06:02:23.862433 : Epoch  5, Batch     48, Loss  0.861609, Average Loss  0.870029, Time  0.444970
2021-09-25 06:02:29.950922 : Epoch  5, Batch     49, Loss  0.872658, Average Loss  0.870051, Time  0.445194
2021-09-25 06:02:36.090001 : Epoch  5, Batch     50, Loss  0.868695, Average Loss  0.869953, Time  0.448033
2021-09-25 06:02:42.175468 : Epoch  5, Batch     51, Loss  0.875839, Average Loss  0.869976, Time  0.445851
2021-09-25 06:02:48.239323 : Epoch  5, Batch     52, Loss  0.883799, Average Loss  0.870057, Time  0.446884
2021-09-25 06:02:54.322047 : Epoch  5, Batch     53, Loss  0.875890, Average Loss  0.870063, Time  0.456604
2021-09-25 06:03:00.397245 : Epoch  5, Batch     54, Loss  0.872930, Average Loss  0.870080, Time  0.446023
2021-09-25 06:03:06.461114 : Epoch  5, Batch     55, Loss  0.870520, Average Loss  0.870096, Time  0.447042
2021-09-25 06:03:12.561508 : Epoch  5, Batch     56, Loss  0.873761, Average Loss  0.870137, Time  0.447265
2021-09-25 06:03:18.638596 : Epoch  5, Batch     57, Loss  0.876434, Average Loss  0.870143, Time  0.447708
2021-09-25 06:03:24.714503 : Epoch  5, Batch     58, Loss  0.868729, Average Loss  0.870094, Time  0.446026
2021-09-25 06:03:30.796338 : Epoch  5, Batch     59, Loss  0.866588, Average Loss  0.870127, Time  0.447044
2021-09-25 06:03:32.179655 : CheckPoint: Validation Loss  0.00015013, Best Loss  0.00014852
2021-09-25 06:03:36.880034 : Epoch  5, Batch     60, Loss  0.864601, Average Loss  0.870099, Time  0.449113
2021-09-25 06:03:38.230492 : Epoch  4, Batch    617, Loss  0.879087, Average Loss  0.871273, Time  0.446745
2021-09-25 06:03:42.987092 : Epoch  5, Batch     61, Loss  0.871525, Average Loss  0.870123, Time  0.457579
2021-09-25 06:03:44.294223 : Epoch  4, Batch    618, Loss  0.876493, Average Loss  0.871377, Time  0.463721
2021-09-25 06:03:49.075889 : Epoch  5, Batch     62, Loss  0.877920, Average Loss  0.870187, Time  0.445514
2021-09-25 06:03:50.344633 : Epoch  4, Batch    619, Loss  0.879135, Average Loss  0.871416, Time  0.448893
2021-09-25 06:03:55.176129 : Epoch  5, Batch     63, Loss  0.858260, Average Loss  0.870131, Time  0.450594
2021-09-25 06:03:56.378859 : Epoch  4, Batch    620, Loss  0.856722, Average Loss  0.871296, Time  0.446654
2021-09-25 06:04:01.260605 : Epoch  5, Batch     64, Loss  0.864892, Average Loss  0.870021, Time  0.446997
2021-09-25 06:04:02.429715 : Epoch  4, Batch    621, Loss  0.870945, Average Loss  0.871218, Time  0.446073
2021-09-25 06:04:07.357119 : Epoch  5, Batch     65, Loss  0.869113, Average Loss  0.870027, Time  0.445035
2021-09-25 06:04:08.462077 : Epoch  4, Batch    622, Loss  0.870031, Average Loss  0.871233, Time  0.448481
2021-09-25 06:04:13.446499 : Epoch  5, Batch     66, Loss  0.873746, Average Loss  0.869986, Time  0.449434
2021-09-25 06:04:14.498679 : Epoch  4, Batch    623, Loss  0.873625, Average Loss  0.871234, Time  0.446054
2021-09-25 06:04:19.522893 : Epoch  5, Batch     67, Loss  0.864554, Average Loss  0.870020, Time  0.445913
2021-09-25 06:04:20.554365 : Epoch  4, Batch    624, Loss  0.875642, Average Loss  0.871277, Time  0.446205
2021-09-25 06:04:25.600968 : Epoch  5, Batch     68, Loss  0.870063, Average Loss  0.869974, Time  0.457202
2021-09-25 06:04:26.602950 : Epoch  4, Batch    625, Loss  0.867733, Average Loss  0.871199, Time  0.445550
2021-09-25 06:04:31.684483 : Epoch  5, Batch     69, Loss  0.869138, Average Loss  0.870089, Time  0.450221
2021-09-25 06:04:32.686844 : Epoch  4, Batch    626, Loss  0.886289, Average Loss  0.871228, Time  0.463314
2021-09-25 06:04:37.781466 : Epoch  5, Batch     70, Loss  0.869842, Average Loss  0.870054, Time  0.453349
2021-09-25 06:04:38.746436 : Epoch  4, Batch    627, Loss  0.865489, Average Loss  0.871189, Time  0.445411
2021-09-25 06:04:43.870597 : Epoch  5, Batch     71, Loss  0.875971, Average Loss  0.870015, Time  0.444366
2021-09-25 06:04:44.819226 : Epoch  4, Batch    628, Loss  0.874201, Average Loss  0.871207, Time  0.448343
2021-09-25 06:04:49.960806 : Epoch  5, Batch     72, Loss  0.884577, Average Loss  0.870059, Time  0.446686
2021-09-25 06:04:50.852451 : Epoch  4, Batch    629, Loss  0.884380, Average Loss  0.871380, Time  0.446467
2021-09-25 06:04:56.043507 : Epoch  5, Batch     73, Loss  0.860974, Average Loss  0.870052, Time  0.446187
2021-09-25 06:04:56.895985 : Epoch  4, Batch    630, Loss  0.871508, Average Loss  0.871321, Time  0.445902
2021-09-25 06:05:02.140501 : Epoch  5, Batch     74, Loss  0.863895, Average Loss  0.870078, Time  0.446001
2021-09-25 06:05:02.952727 : Epoch  4, Batch    631, Loss  0.856200, Average Loss  0.871266, Time  0.445616
2021-09-25 06:05:08.231367 : Epoch  5, Batch     75, Loss  0.874217, Average Loss  0.870100, Time  0.447578
2021-09-25 06:05:09.012452 : Epoch  4, Batch    632, Loss  0.857418, Average Loss  0.871185, Time  0.448517
2021-09-25 06:05:14.343037 : Epoch  5, Batch     76, Loss  0.853430, Average Loss  0.870007, Time  0.458182
2021-09-25 06:05:15.089813 : Epoch  4, Batch    633, Loss  0.867386, Average Loss  0.871036, Time  0.462093
2021-09-25 06:05:20.410226 : Epoch  5, Batch     77, Loss  0.872357, Average Loss  0.870113, Time  0.445196
2021-09-25 06:05:21.119849 : Epoch  4, Batch    634, Loss  0.874910, Average Loss  0.871111, Time  0.445784
2021-09-25 06:05:26.495045 : Epoch  5, Batch     78, Loss  0.874069, Average Loss  0.870110, Time  0.445872
2021-09-25 06:05:27.159052 : Epoch  4, Batch    635, Loss  0.875135, Average Loss  0.871110, Time  0.445846
2021-09-25 06:05:32.582799 : Epoch  5, Batch     79, Loss  0.876343, Average Loss  0.870137, Time  0.448164
2021-09-25 06:05:33.181092 : Epoch  4, Batch    636, Loss  0.865267, Average Loss  0.871102, Time  0.444827
2021-09-25 06:05:38.644251 : Epoch  5, Batch     80, Loss  0.854939, Average Loss  0.870030, Time  0.445740
2021-09-25 06:05:39.197424 : Epoch  4, Batch    637, Loss  0.884554, Average Loss  0.871131, Time  0.445413
2021-09-25 06:05:44.719993 : Epoch  5, Batch     81, Loss  0.884780, Average Loss  0.870147, Time  0.445300
2021-09-25 06:05:45.262720 : Epoch  4, Batch    638, Loss  0.873773, Average Loss  0.871196, Time  0.446538
2021-09-25 06:05:50.815629 : Epoch  5, Batch     82, Loss  0.856559, Average Loss  0.869977, Time  0.447756
2021-09-25 06:05:51.321869 : Epoch  4, Batch    639, Loss  0.886279, Average Loss  0.871240, Time  0.446225
2021-09-25 06:05:56.906455 : Epoch  5, Batch     83, Loss  0.858378, Average Loss  0.869910, Time  0.461962
2021-09-25 06:05:57.366837 : Epoch  4, Batch    640, Loss  0.875221, Average Loss  0.871196, Time  0.445889
2021-09-25 06:06:02.968765 : Epoch  5, Batch     84, Loss  0.871962, Average Loss  0.869907, Time  0.445498
2021-09-25 06:06:03.412357 : Epoch  4, Batch    641, Loss  0.872334, Average Loss  0.871190, Time  0.459045
2021-09-25 06:06:09.041727 : Epoch  5, Batch     85, Loss  0.878935, Average Loss  0.870009, Time  0.451730
2021-09-25 06:06:09.494507 : Epoch  4, Batch    642, Loss  0.893400, Average Loss  0.871229, Time  0.454595
2021-09-25 06:06:15.114892 : Epoch  5, Batch     86, Loss  0.872140, Average Loss  0.869993, Time  0.447760
2021-09-25 06:06:15.539443 : Epoch  4, Batch    643, Loss  0.878649, Average Loss  0.871293, Time  0.445680
2021-09-25 06:06:21.190256 : Epoch  5, Batch     87, Loss  0.865476, Average Loss  0.869941, Time  0.445247
2021-09-25 06:06:21.572953 : Epoch  4, Batch    644, Loss  0.858158, Average Loss  0.871224, Time  0.445567
2021-09-25 06:06:27.276241 : Epoch  5, Batch     88, Loss  0.881310, Average Loss  0.870038, Time  0.445372
2021-09-25 06:06:27.611630 : Epoch  4, Batch    645, Loss  0.868573, Average Loss  0.871165, Time  0.446011
2021-09-25 06:06:33.692610 : Epoch  4, Batch    646, Loss  0.881541, Average Loss  0.871214, Time  0.447765
2021-09-25 06:06:39.731277 : Epoch  4, Batch    647, Loss  0.867114, Average Loss  0.871126, Time  0.445857
2021-09-25 06:06:45.772995 : Epoch  4, Batch    648, Loss  0.865050, Average Loss  0.871096, Time  0.460954
2021-09-25 06:06:51.821669 : Epoch  4, Batch    649, Loss  0.867969, Average Loss  0.871087, Time  0.450155
2021-09-25 06:06:57.864308 : Epoch  4, Batch    650, Loss  0.873432, Average Loss  0.871135, Time  0.452896
2021-09-25 06:07:03.914501 : Epoch  4, Batch    651, Loss  0.883986, Average Loss  0.871185, Time  0.445643
2021-09-25 06:07:09.969947 : Epoch  4, Batch    652, Loss  0.874682, Average Loss  0.871167, Time  0.447075
2021-09-25 06:07:16.049767 : Epoch  4, Batch    653, Loss  0.856194, Average Loss  0.871017, Time  0.445558
2021-09-25 06:07:22.093720 : Epoch  4, Batch    654, Loss  0.865623, Average Loss  0.870961, Time  0.445380
2021-09-25 06:07:28.128862 : Epoch  4, Batch    655, Loss  0.872409, Average Loss  0.870939, Time  0.445812
2021-09-25 06:07:34.176112 : Epoch  4, Batch    656, Loss  0.873150, Average Loss  0.870950, Time  0.456578
2021-09-25 06:07:40.236903 : Epoch  4, Batch    657, Loss  0.861279, Average Loss  0.870896, Time  0.453196
2021-09-25 06:07:46.302009 : Epoch  4, Batch    658, Loss  0.879446, Average Loss  0.870911, Time  0.449559
2021-09-25 06:07:52.353456 : Epoch  4, Batch    659, Loss  0.867800, Average Loss  0.870916, Time  0.445922
2021-09-25 06:07:58.391909 : Epoch  4, Batch    660, Loss  0.861001, Average Loss  0.870852, Time  0.450357
2021-09-25 06:08:04.444377 : Epoch  4, Batch    661, Loss  0.857130, Average Loss  0.870679, Time  0.445443
2021-09-25 06:08:10.493409 : Epoch  4, Batch    662, Loss  0.877627, Average Loss  0.870692, Time  0.445784
2021-09-25 06:08:16.567090 : Epoch  4, Batch    663, Loss  0.864668, Average Loss  0.870628, Time  0.463237
2021-09-25 06:08:22.630064 : Epoch  4, Batch    664, Loss  0.864261, Average Loss  0.870595, Time  0.445857
2021-09-25 06:08:28.669096 : Epoch  4, Batch    665, Loss  0.865119, Average Loss  0.870594, Time  0.445460
2021-09-25 06:08:34.732843 : Epoch  4, Batch    666, Loss  0.876209, Average Loss  0.870616, Time  0.448225
2021-09-25 06:08:40.775733 : Epoch  4, Batch    667, Loss  0.869752, Average Loss  0.870558, Time  0.447788
2021-09-25 06:08:46.833472 : Epoch  4, Batch    668, Loss  0.861657, Average Loss  0.870554, Time  0.450619
2021-09-25 06:08:52.883732 : Epoch  4, Batch    669, Loss  0.883361, Average Loss  0.870580, Time  0.448857
2021-09-25 06:08:58.935043 : Epoch  4, Batch    670, Loss  0.870925, Average Loss  0.870546, Time  0.447451
2021-09-25 06:09:04.999065 : Epoch  4, Batch    671, Loss  0.882007, Average Loss  0.870629, Time  0.461777
2021-09-25 06:09:11.082029 : Epoch  4, Batch    672, Loss  0.869453, Average Loss  0.870700, Time  0.449641
2021-09-25 06:09:17.160918 : Epoch  4, Batch    673, Loss  0.856621, Average Loss  0.870606, Time  0.448814
2021-09-25 06:09:23.229966 : Epoch  4, Batch    674, Loss  0.877653, Average Loss  0.870703, Time  0.447351
2021-09-25 06:09:29.295814 : Epoch  4, Batch    675, Loss  0.870453, Average Loss  0.870741, Time  0.445549
2021-09-25 06:09:35.366828 : Epoch  4, Batch    676, Loss  0.877079, Average Loss  0.870717, Time  0.448589
2021-09-25 06:09:41.427272 : Epoch  4, Batch    677, Loss  0.865104, Average Loss  0.870748, Time  0.451030
2021-09-25 06:09:47.488832 : Epoch  4, Batch    678, Loss  0.852977, Average Loss  0.870634, Time  0.462087
2021-09-25 06:09:53.534164 : Epoch  4, Batch    679, Loss  0.874504, Average Loss  0.870664, Time  0.448548
2021-09-25 06:09:59.570124 : Epoch  4, Batch    680, Loss  0.858595, Average Loss  0.870640, Time  0.447014
2021-09-25 06:10:05.626561 : Epoch  4, Batch    681, Loss  0.864314, Average Loss  0.870623, Time  0.445532
2021-09-25 06:10:11.686855 : Epoch  4, Batch    682, Loss  0.863695, Average Loss  0.870605, Time  0.445316
2021-09-25 06:10:17.734875 : Epoch  4, Batch    683, Loss  0.870792, Average Loss  0.870541, Time  0.445801
2021-09-25 06:10:23.781496 : Epoch  4, Batch    684, Loss  0.888417, Average Loss  0.870611, Time  0.451675
2021-09-25 06:10:29.824153 : Epoch  4, Batch    685, Loss  0.878654, Average Loss  0.870591, Time  0.445644
2021-09-25 06:10:35.861917 : Epoch  4, Batch    686, Loss  0.880221, Average Loss  0.870610, Time  0.455123
2021-09-25 06:10:41.909205 : Epoch  4, Batch    687, Loss  0.861596, Average Loss  0.870496, Time  0.445894
2021-09-25 06:10:47.964996 : Epoch  4, Batch    688, Loss  0.853835, Average Loss  0.870476, Time  0.448854
2021-09-25 06:10:54.025747 : Epoch  4, Batch    689, Loss  0.856053, Average Loss  0.870355, Time  0.445757
2021-09-25 06:11:00.098412 : Epoch  4, Batch    690, Loss  0.855653, Average Loss  0.870305, Time  0.456313
2021-09-25 06:11:06.154872 : Epoch  4, Batch    691, Loss  0.872781, Average Loss  0.870289, Time  0.445881
2021-09-25 06:11:12.223020 : Epoch  4, Batch    692, Loss  0.877121, Average Loss  0.870338, Time  0.445979
2021-09-25 06:11:15.500960 : CheckPoint: Validation Loss  0.00015199, Best Loss  0.00014804
2021-09-25 06:11:18.296354 : Epoch  4, Batch    693, Loss  0.871357, Average Loss  0.870377, Time  0.459117
2021-09-25 06:11:21.631747 : Epoch  5, Batch     89, Loss  0.876152, Average Loss  0.870071, Time  0.462746
2021-09-25 06:11:24.338523 : Epoch  4, Batch    694, Loss  0.877605, Average Loss  0.870358, Time  0.448332
2021-09-25 06:11:27.735573 : Epoch  5, Batch     90, Loss  0.865815, Average Loss  0.870007, Time  0.444441
2021-09-25 06:11:30.381727 : Epoch  4, Batch    695, Loss  0.860578, Average Loss  0.870407, Time  0.445713
2021-09-25 06:11:33.860669 : Epoch  5, Batch     91, Loss  0.880373, Average Loss  0.870025, Time  0.446457
2021-09-25 06:11:36.407883 : Epoch  4, Batch    696, Loss  0.882010, Average Loss  0.870553, Time  0.444924
2021-09-25 06:11:40.003229 : Epoch  5, Batch     92, Loss  0.879075, Average Loss  0.870059, Time  0.444569
2021-09-25 06:11:42.464927 : Epoch  4, Batch    697, Loss  0.878045, Average Loss  0.870632, Time  0.449780
2021-09-25 06:11:46.136376 : Epoch  5, Batch     93, Loss  0.861532, Average Loss  0.870037, Time  0.446728
2021-09-25 06:11:48.531094 : Epoch  4, Batch    698, Loss  0.867173, Average Loss  0.870707, Time  0.445659
2021-09-25 06:11:52.268520 : Epoch  5, Batch     94, Loss  0.877768, Average Loss  0.870063, Time  0.447167
2021-09-25 06:11:54.614892 : Epoch  4, Batch    699, Loss  0.872335, Average Loss  0.870650, Time  0.448520
2021-09-25 06:11:58.389385 : Epoch  5, Batch     95, Loss  0.876239, Average Loss  0.870041, Time  0.445940
2021-09-25 06:12:00.703025 : Epoch  4, Batch    700, Loss  0.893139, Average Loss  0.870849, Time  0.449895
2021-09-25 06:12:04.496458 : Epoch  5, Batch     96, Loss  0.869741, Average Loss  0.870060, Time  0.456851
2021-09-25 06:12:06.791492 : Epoch  4, Batch    701, Loss  0.863715, Average Loss  0.870864, Time  0.453053
2021-09-25 06:12:10.614727 : Epoch  5, Batch     97, Loss  0.882953, Average Loss  0.870081, Time  0.447173
2021-09-25 06:12:12.852829 : Epoch  4, Batch    702, Loss  0.855019, Average Loss  0.870821, Time  0.445746
2021-09-25 06:12:16.725598 : Epoch  5, Batch     98, Loss  0.871259, Average Loss  0.870101, Time  0.445211
2021-09-25 06:12:18.929949 : Epoch  4, Batch    703, Loss  0.860070, Average Loss  0.870802, Time  0.447571
2021-09-25 06:12:22.850197 : Epoch  5, Batch     99, Loss  0.863668, Average Loss  0.870094, Time  0.447937
2021-09-25 06:12:24.984857 : Epoch  4, Batch    704, Loss  0.879742, Average Loss  0.870851, Time  0.446689
2021-09-25 06:12:28.938900 : Epoch  5, Batch    100, Loss  0.858046, Average Loss  0.869994, Time  0.445522
2021-09-25 06:12:31.030191 : Epoch  4, Batch    705, Loss  0.863070, Average Loss  0.870834, Time  0.446584
2021-09-25 06:12:35.063066 : Epoch  5, Batch    101, Loss  0.876105, Average Loss  0.870006, Time  0.446350
2021-09-25 06:12:37.089856 : Epoch  4, Batch    706, Loss  0.872605, Average Loss  0.870880, Time  0.445383
2021-09-25 06:12:41.203778 : Epoch  5, Batch    102, Loss  0.863107, Average Loss  0.869976, Time  0.445647
2021-09-25 06:12:43.156916 : Epoch  4, Batch    707, Loss  0.846388, Average Loss  0.870710, Time  0.445185
2021-09-25 06:12:47.346566 : Epoch  5, Batch    103, Loss  0.860279, Average Loss  0.869935, Time  0.444861
2021-09-25 06:12:49.234735 : Epoch  4, Batch    708, Loss  0.859377, Average Loss  0.870693, Time  0.456547
2021-09-25 06:12:53.509704 : Epoch  5, Batch    104, Loss  0.884981, Average Loss  0.869997, Time  0.459441
2021-09-25 06:12:55.320512 : Epoch  4, Batch    709, Loss  0.870149, Average Loss  0.870684, Time  0.458449
2021-09-25 06:12:59.650205 : Epoch  5, Batch    105, Loss  0.887789, Average Loss  0.870075, Time  0.445127
2021-09-25 06:13:01.370549 : Epoch  4, Batch    710, Loss  0.880625, Average Loss  0.870635, Time  0.448484
2021-09-25 06:13:05.747599 : Epoch  5, Batch    106, Loss  0.850679, Average Loss  0.869944, Time  0.447494
2021-09-25 06:13:07.417247 : Epoch  4, Batch    711, Loss  0.870599, Average Loss  0.870693, Time  0.447990
2021-09-25 06:13:11.844670 : Epoch  5, Batch    107, Loss  0.862271, Average Loss  0.869941, Time  0.448812
2021-09-25 06:13:13.466198 : Epoch  4, Batch    712, Loss  0.861839, Average Loss  0.870680, Time  0.446196
2021-09-25 06:13:17.971193 : Epoch  5, Batch    108, Loss  0.868247, Average Loss  0.869912, Time  0.444973
2021-09-25 06:13:19.538464 : Epoch  4, Batch    713, Loss  0.870593, Average Loss  0.870696, Time  0.445385
2021-09-25 06:13:24.109873 : Epoch  5, Batch    109, Loss  0.862124, Average Loss  0.869865, Time  0.447749
2021-09-25 06:13:25.604164 : Epoch  4, Batch    714, Loss  0.867742, Average Loss  0.870631, Time  0.447357
2021-09-25 06:13:30.230554 : Epoch  5, Batch    110, Loss  0.866627, Average Loss  0.869938, Time  0.445740
2021-09-25 06:13:31.661322 : Epoch  4, Batch    715, Loss  0.867850, Average Loss  0.870561, Time  0.445419
2021-09-25 06:13:36.387625 : Epoch  5, Batch    111, Loss  0.868028, Average Loss  0.869931, Time  0.462842
2021-09-25 06:13:37.747516 : Epoch  4, Batch    716, Loss  0.875955, Average Loss  0.870615, Time  0.466647
2021-09-25 06:13:42.520441 : Epoch  5, Batch    112, Loss  0.868335, Average Loss  0.869939, Time  0.447041
2021-09-25 06:13:48.665301 : Epoch  5, Batch    113, Loss  0.867832, Average Loss  0.869892, Time  0.452561
2021-09-25 06:13:54.800689 : Epoch  5, Batch    114, Loss  0.868306, Average Loss  0.869881, Time  0.448142
2021-09-25 06:14:00.948825 : Epoch  5, Batch    115, Loss  0.870398, Average Loss  0.869840, Time  0.446046
2021-09-25 06:14:07.067296 : Epoch  5, Batch    116, Loss  0.865025, Average Loss  0.869762, Time  0.444549
2021-09-25 06:14:13.161818 : Epoch  5, Batch    117, Loss  0.872019, Average Loss  0.869703, Time  0.446301
2021-09-25 06:14:19.294808 : Epoch  5, Batch    118, Loss  0.883416, Average Loss  0.869833, Time  0.444851
2021-09-25 06:14:25.416496 : Epoch  5, Batch    119, Loss  0.864926, Average Loss  0.869820, Time  0.454932
2021-09-25 06:14:31.550410 : Epoch  5, Batch    120, Loss  0.860009, Average Loss  0.869797, Time  0.444916
2021-09-25 06:14:37.666155 : Epoch  5, Batch    121, Loss  0.868266, Average Loss  0.869850, Time  0.444773
2021-09-25 06:14:43.800492 : Epoch  5, Batch    122, Loss  0.859588, Average Loss  0.869794, Time  0.445571
2021-09-25 06:14:49.900416 : Epoch  5, Batch    123, Loss  0.866556, Average Loss  0.869778, Time  0.447245
2021-09-25 06:14:56.017606 : Epoch  5, Batch    124, Loss  0.882951, Average Loss  0.869895, Time  0.452890
2021-09-25 06:15:02.128847 : Epoch  5, Batch    125, Loss  0.874840, Average Loss  0.869916, Time  0.446361
2021-09-25 06:15:08.276073 : Epoch  5, Batch    126, Loss  0.866279, Average Loss  0.869961, Time  0.462555
2021-09-25 06:15:14.408766 : Epoch  5, Batch    127, Loss  0.870169, Average Loss  0.869974, Time  0.448001
2021-09-25 06:15:20.551393 : Epoch  5, Batch    128, Loss  0.866954, Average Loss  0.869949, Time  0.445709
2021-09-25 06:15:26.705451 : Epoch  5, Batch    129, Loss  0.882554, Average Loss  0.870023, Time  0.447491
2021-09-25 06:15:32.807598 : Epoch  5, Batch    130, Loss  0.872693, Average Loss  0.869986, Time  0.445397
2021-09-25 06:15:38.943032 : Epoch  5, Batch    131, Loss  0.876645, Average Loss  0.870035, Time  0.445692
2021-09-25 06:15:45.099539 : Epoch  5, Batch    132, Loss  0.879477, Average Loss  0.870065, Time  0.457347
2021-09-25 06:15:51.219319 : Epoch  5, Batch    133, Loss  0.868618, Average Loss  0.870038, Time  0.446541
2021-09-25 06:15:57.390739 : Epoch  5, Batch    134, Loss  0.875064, Average Loss  0.870038, Time  0.461404
2021-09-25 06:16:03.520544 : Epoch  5, Batch    135, Loss  0.868332, Average Loss  0.870050, Time  0.445222
2021-09-25 06:16:09.656764 : Epoch  5, Batch    136, Loss  0.871330, Average Loss  0.870043, Time  0.445594
2021-09-25 06:16:15.744816 : Epoch  5, Batch    137, Loss  0.873860, Average Loss  0.870090, Time  0.445408
2021-09-25 06:16:21.889084 : Epoch  5, Batch    138, Loss  0.863298, Average Loss  0.870014, Time  0.447790
2021-09-25 06:16:28.037648 : Epoch  5, Batch    139, Loss  0.866953, Average Loss  0.870021, Time  0.445101
2021-09-25 06:16:34.183843 : Epoch  5, Batch    140, Loss  0.863218, Average Loss  0.870002, Time  0.451194
2021-09-25 06:16:40.284342 : Epoch  5, Batch    141, Loss  0.879223, Average Loss  0.869983, Time  0.457019
2021-09-25 06:16:46.442845 : Epoch  5, Batch    142, Loss  0.875755, Average Loss  0.870040, Time  0.445157
2021-09-25 06:16:52.562132 : Epoch  5, Batch    143, Loss  0.883857, Average Loss  0.870049, Time  0.448435
2021-09-25 06:16:58.671721 : Epoch  5, Batch    144, Loss  0.873160, Average Loss  0.869984, Time  0.445224
2021-09-25 06:17:04.787902 : Epoch  5, Batch    145, Loss  0.862674, Average Loss  0.870017, Time  0.446693
2021-09-25 06:17:10.911843 : Epoch  5, Batch    146, Loss  0.854961, Average Loss  0.869953, Time  0.445359
2021-09-25 06:17:17.020374 : Epoch  5, Batch    147, Loss  0.875546, Average Loss  0.869930, Time  0.445458
2021-09-25 06:17:23.142594 : Epoch  5, Batch    148, Loss  0.878093, Average Loss  0.870014, Time  0.446202
2021-09-25 06:17:29.251166 : Epoch  5, Batch    149, Loss  0.877639, Average Loss  0.870077, Time  0.456362
2021-09-25 06:17:35.370504 : Epoch  5, Batch    150, Loss  0.856429, Average Loss  0.870034, Time  0.446931
2021-09-25 06:17:41.494229 : Epoch  5, Batch    151, Loss  0.851859, Average Loss  0.870006, Time  0.445848
2021-09-25 06:17:47.611488 : Epoch  5, Batch    152, Loss  0.869408, Average Loss  0.869952, Time  0.445931
2021-09-25 06:17:53.739478 : Epoch  5, Batch    153, Loss  0.868311, Average Loss  0.869891, Time  0.444582
2021-09-25 06:17:59.832144 : Epoch  5, Batch    154, Loss  0.863643, Average Loss  0.869908, Time  0.449666
2021-09-25 06:18:05.949643 : Epoch  5, Batch    155, Loss  0.863544, Average Loss  0.869863, Time  0.448365
2021-09-25 06:18:12.088292 : Epoch  5, Batch    156, Loss  0.866486, Average Loss  0.869853, Time  0.462745
2021-09-25 06:18:18.234826 : Epoch  5, Batch    157, Loss  0.891401, Average Loss  0.869931, Time  0.446828
2021-09-25 06:18:24.363678 : Epoch  5, Batch    158, Loss  0.870474, Average Loss  0.869892, Time  0.445154
2021-09-25 06:18:25.353866 : CheckPoint: Validation Loss  0.00015206, Best Loss  0.00014852
2021-09-25 06:18:30.478113 : Epoch  5, Batch    159, Loss  0.846275, Average Loss  0.869778, Time  0.447349
2021-09-25 06:18:31.412641 : Epoch  4, Batch    717, Loss  0.863567, Average Loss  0.870552, Time  0.448102
2021-09-25 06:18:36.597077 : Epoch  5, Batch    160, Loss  0.866466, Average Loss  0.869754, Time  0.445815
2021-09-25 06:18:37.467315 : Epoch  4, Batch    718, Loss  0.878407, Average Loss  0.870636, Time  0.446197
2021-09-25 06:18:42.728921 : Epoch  5, Batch    161, Loss  0.864168, Average Loss  0.869731, Time  0.448843
2021-09-25 06:18:43.515821 : Epoch  4, Batch    719, Loss  0.867245, Average Loss  0.870558, Time  0.445023
2021-09-25 06:18:48.898434 : Epoch  5, Batch    162, Loss  0.868888, Average Loss  0.869674, Time  0.446789
2021-09-25 06:18:49.570616 : Epoch  4, Batch    720, Loss  0.867845, Average Loss  0.870645, Time  0.448348
2021-09-25 06:18:55.004843 : Epoch  5, Batch    163, Loss  0.891021, Average Loss  0.869832, Time  0.445756
2021-09-25 06:18:55.647669 : Epoch  4, Batch    721, Loss  0.861273, Average Loss  0.870571, Time  0.470574
2021-09-25 06:19:01.190324 : Epoch  5, Batch    164, Loss  0.852366, Average Loss  0.869780, Time  0.456358
2021-09-25 06:19:01.698742 : Epoch  4, Batch    722, Loss  0.877390, Average Loss  0.870593, Time  0.451280
2021-09-25 06:19:07.332868 : Epoch  5, Batch    165, Loss  0.874945, Average Loss  0.869852, Time  0.452781
2021-09-25 06:19:07.746820 : Epoch  4, Batch    723, Loss  0.876830, Average Loss  0.870536, Time  0.445963
2021-09-25 06:19:13.455603 : Epoch  5, Batch    166, Loss  0.864344, Average Loss  0.869911, Time  0.448942
2021-09-25 06:19:13.795841 : Epoch  4, Batch    724, Loss  0.874570, Average Loss  0.870569, Time  0.446310
2021-09-25 06:19:19.589536 : Epoch  5, Batch    167, Loss  0.881864, Average Loss  0.869943, Time  0.445227
2021-09-25 06:19:19.852969 : Epoch  4, Batch    725, Loss  0.868516, Average Loss  0.870569, Time  0.445943
2021-09-25 06:19:25.746027 : Epoch  5, Batch    168, Loss  0.860205, Average Loss  0.869914, Time  0.447994
2021-09-25 06:19:25.931890 : Epoch  4, Batch    726, Loss  0.849622, Average Loss  0.870450, Time  0.448678
2021-09-25 06:19:31.881879 : Epoch  5, Batch    169, Loss  0.865321, Average Loss  0.869854, Time  0.448542
2021-09-25 06:19:31.995669 : Epoch  4, Batch    727, Loss  0.871201, Average Loss  0.870432, Time  0.447500
2021-09-25 06:19:38.024856 : Epoch  5, Batch    170, Loss  0.862137, Average Loss  0.869820, Time  0.447652
2021-09-25 06:19:38.079162 : Epoch  4, Batch    728, Loss  0.872538, Average Loss  0.870437, Time  0.446458
2021-09-25 06:19:44.120666 : Epoch  4, Batch    729, Loss  0.870472, Average Loss  0.870394, Time  0.462385
2021-09-25 06:19:44.168887 : Epoch  5, Batch    171, Loss  0.887823, Average Loss  0.869840, Time  0.460382
2021-09-25 06:19:50.157203 : Epoch  4, Batch    730, Loss  0.879632, Average Loss  0.870415, Time  0.445998
2021-09-25 06:19:50.269793 : Epoch  5, Batch    172, Loss  0.875362, Average Loss  0.869857, Time  0.448702
2021-09-25 06:19:56.186680 : Epoch  4, Batch    731, Loss  0.856658, Average Loss  0.870325, Time  0.447416
2021-09-25 06:19:56.414872 : Epoch  5, Batch    173, Loss  0.869144, Average Loss  0.869799, Time  0.448789
2021-09-25 06:20:02.237558 : Epoch  4, Batch    732, Loss  0.874911, Average Loss  0.870294, Time  0.445737
2021-09-25 06:20:02.548104 : Epoch  5, Batch    174, Loss  0.881422, Average Loss  0.869917, Time  0.445518
2021-09-25 06:20:08.291639 : Epoch  4, Batch    733, Loss  0.864859, Average Loss  0.870203, Time  0.445480
2021-09-25 06:20:08.677130 : Epoch  5, Batch    175, Loss  0.856313, Average Loss  0.869799, Time  0.447133
2021-09-25 06:20:14.303042 : Epoch  4, Batch    734, Loss  0.869234, Average Loss  0.870179, Time  0.449389
2021-09-25 06:20:14.792502 : Epoch  5, Batch    176, Loss  0.872481, Average Loss  0.869782, Time  0.449974
2021-09-25 06:20:20.354829 : Epoch  4, Batch    735, Loss  0.865527, Average Loss  0.870254, Time  0.446343
2021-09-25 06:20:20.934902 : Epoch  5, Batch    177, Loss  0.867860, Average Loss  0.869798, Time  0.447736
2021-09-25 06:20:26.426357 : Epoch  4, Batch    736, Loss  0.879819, Average Loss  0.870274, Time  0.462097
2021-09-25 06:20:27.076742 : Epoch  5, Batch    178, Loss  0.870225, Average Loss  0.869796, Time  0.447632
2021-09-25 06:20:32.481796 : Epoch  4, Batch    737, Loss  0.877641, Average Loss  0.870309, Time  0.449513
2021-09-25 06:20:33.242781 : Epoch  5, Batch    179, Loss  0.862602, Average Loss  0.869799, Time  0.457230
2021-09-25 06:20:38.517727 : Epoch  4, Batch    738, Loss  0.865393, Average Loss  0.870295, Time  0.447135
2021-09-25 06:20:39.363854 : Epoch  5, Batch    180, Loss  0.877595, Average Loss  0.869802, Time  0.447702
2021-09-25 06:20:44.559128 : Epoch  4, Batch    739, Loss  0.868691, Average Loss  0.870309, Time  0.446728
2021-09-25 06:20:45.489648 : Epoch  5, Batch    181, Loss  0.865832, Average Loss  0.869721, Time  0.445850
2021-09-25 06:20:50.609568 : Epoch  4, Batch    740, Loss  0.892040, Average Loss  0.870465, Time  0.447098
2021-09-25 06:20:51.621799 : Epoch  5, Batch    182, Loss  0.881714, Average Loss  0.869714, Time  0.446191
2021-09-25 06:20:56.662165 : Epoch  4, Batch    741, Loss  0.874512, Average Loss  0.870452, Time  0.446751
2021-09-25 06:20:57.742176 : Epoch  5, Batch    183, Loss  0.857247, Average Loss  0.869694, Time  0.445037
2021-09-25 06:21:02.720335 : Epoch  4, Batch    742, Loss  0.850185, Average Loss  0.870348, Time  0.449232
2021-09-25 06:21:03.861669 : Epoch  5, Batch    184, Loss  0.870924, Average Loss  0.869672, Time  0.445021
2021-09-25 06:21:08.751919 : Epoch  4, Batch    743, Loss  0.861240, Average Loss  0.870262, Time  0.447169
2021-09-25 06:21:09.973622 : Epoch  5, Batch    185, Loss  0.865820, Average Loss  0.869674, Time  0.450764
2021-09-25 06:21:14.830106 : Epoch  4, Batch    744, Loss  0.877321, Average Loss  0.870265, Time  0.461199
2021-09-25 06:21:16.131815 : Epoch  5, Batch    186, Loss  0.858936, Average Loss  0.869625, Time  0.461637
2021-09-25 06:21:20.900234 : Epoch  4, Batch    745, Loss  0.873153, Average Loss  0.870214, Time  0.447222
2021-09-25 06:21:22.281070 : Epoch  5, Batch    187, Loss  0.873564, Average Loss  0.869690, Time  0.445541
2021-09-25 06:21:26.943868 : Epoch  4, Batch    746, Loss  0.862919, Average Loss  0.870172, Time  0.448030
2021-09-25 06:21:28.401030 : Epoch  5, Batch    188, Loss  0.862349, Average Loss  0.869696, Time  0.446134
2021-09-25 06:21:33.010897 : Epoch  4, Batch    747, Loss  0.857796, Average Loss  0.870075, Time  0.447070
2021-09-25 06:21:39.053968 : Epoch  4, Batch    748, Loss  0.866801, Average Loss  0.870080, Time  0.445410
2021-09-25 06:21:45.090911 : Epoch  4, Batch    749, Loss  0.887934, Average Loss  0.870175, Time  0.448769
2021-09-25 06:21:51.126508 : Epoch  4, Batch    750, Loss  0.862451, Average Loss  0.870081, Time  0.446962
2021-09-25 06:21:57.179806 : Epoch  4, Batch    751, Loss  0.881801, Average Loss  0.870116, Time  0.458223
2021-09-25 06:22:03.234303 : Epoch  4, Batch    752, Loss  0.878012, Average Loss  0.870183, Time  0.446794
2021-09-25 06:22:09.281987 : Epoch  4, Batch    753, Loss  0.883653, Average Loss  0.870309, Time  0.448632
2021-09-25 06:22:15.330952 : Epoch  4, Batch    754, Loss  0.866697, Average Loss  0.870277, Time  0.446361
2021-09-25 06:22:21.404736 : Epoch  4, Batch    755, Loss  0.867939, Average Loss  0.870177, Time  0.449019
2021-09-25 06:22:27.473536 : Epoch  4, Batch    756, Loss  0.887936, Average Loss  0.870290, Time  0.448358
2021-09-25 06:22:33.543198 : Epoch  4, Batch    757, Loss  0.864199, Average Loss  0.870298, Time  0.450319
2021-09-25 06:22:39.606916 : Epoch  4, Batch    758, Loss  0.877117, Average Loss  0.870398, Time  0.446764
2021-09-25 06:22:45.666690 : Epoch  4, Batch    759, Loss  0.868662, Average Loss  0.870360, Time  0.457790
2021-09-25 06:22:51.707421 : Epoch  4, Batch    760, Loss  0.880878, Average Loss  0.870459, Time  0.448755
2021-09-25 06:22:57.755103 : Epoch  4, Batch    761, Loss  0.866905, Average Loss  0.870584, Time  0.445892
2021-09-25 06:23:03.785457 : Epoch  4, Batch    762, Loss  0.867430, Average Loss  0.870575, Time  0.446904
2021-09-25 06:23:09.835124 : Epoch  4, Batch    763, Loss  0.867388, Average Loss  0.870516, Time  0.453799
2021-09-25 06:23:15.895686 : Epoch  4, Batch    764, Loss  0.892015, Average Loss  0.870541, Time  0.451868
2021-09-25 06:23:21.947250 : Epoch  4, Batch    765, Loss  0.864481, Average Loss  0.870551, Time  0.449309
2021-09-25 06:23:28.032145 : Epoch  4, Batch    766, Loss  0.875933, Average Loss  0.870562, Time  0.464481
2021-09-25 06:23:34.087671 : Epoch  4, Batch    767, Loss  0.873623, Average Loss  0.870554, Time  0.445549
2021-09-25 06:23:40.121808 : Epoch  4, Batch    768, Loss  0.870302, Average Loss  0.870583, Time  0.449953
2021-09-25 06:23:46.183679 : Epoch  4, Batch    769, Loss  0.875522, Average Loss  0.870611, Time  0.452085
2021-09-25 06:23:52.220893 : Epoch  4, Batch    770, Loss  0.878892, Average Loss  0.870640, Time  0.446002
2021-09-25 06:23:58.267620 : Epoch  4, Batch    771, Loss  0.882260, Average Loss  0.870732, Time  0.444884
2021-09-25 06:24:04.302988 : Epoch  4, Batch    772, Loss  0.870848, Average Loss  0.870743, Time  0.445470
2021-09-25 06:24:10.331993 : Epoch  4, Batch    773, Loss  0.872883, Average Loss  0.870683, Time  0.446306
2021-09-25 06:24:16.407516 : Epoch  4, Batch    774, Loss  0.882289, Average Loss  0.870782, Time  0.459686
2021-09-25 06:24:22.452969 : Epoch  4, Batch    775, Loss  0.874424, Average Loss  0.870864, Time  0.447141
2021-09-25 06:24:28.520481 : Epoch  4, Batch    776, Loss  0.884829, Average Loss  0.870920, Time  0.445756
2021-09-25 06:24:34.566842 : Epoch  4, Batch    777, Loss  0.854758, Average Loss  0.870832, Time  0.445778
2021-09-25 06:24:40.627043 : Epoch  4, Batch    778, Loss  0.872512, Average Loss  0.870820, Time  0.449604
2021-09-25 06:24:46.674850 : Epoch  4, Batch    779, Loss  0.862427, Average Loss  0.870789, Time  0.446863
2021-09-25 06:24:52.714679 : Epoch  4, Batch    780, Loss  0.869857, Average Loss  0.870796, Time  0.448629
2021-09-25 06:24:58.753550 : Epoch  4, Batch    781, Loss  0.860804, Average Loss  0.870724, Time  0.445989
2021-09-25 06:25:04.803885 : Epoch  4, Batch    782, Loss  0.870408, Average Loss  0.870771, Time  0.459325
2021-09-25 06:25:10.863217 : Epoch  4, Batch    783, Loss  0.863591, Average Loss  0.870703, Time  0.447931
2021-09-25 06:25:16.939737 : Epoch  4, Batch    784, Loss  0.865917, Average Loss  0.870716, Time  0.456970
2021-09-25 06:25:23.008579 : Epoch  4, Batch    785, Loss  0.880101, Average Loss  0.870751, Time  0.448887
2021-09-25 06:25:29.054723 : Epoch  4, Batch    786, Loss  0.883969, Average Loss  0.870835, Time  0.448053
2021-09-25 06:25:35.123214 : Epoch  4, Batch    787, Loss  0.884859, Average Loss  0.870906, Time  0.449139
2021-09-25 06:25:41.169080 : Epoch  4, Batch    788, Loss  0.878496, Average Loss  0.870915, Time  0.449026
2021-09-25 06:25:47.235682 : Epoch  4, Batch    789, Loss  0.883267, Average Loss  0.870933, Time  0.466075
2021-09-25 06:25:53.284865 : Epoch  4, Batch    790, Loss  0.877198, Average Loss  0.870935, Time  0.447686
2021-09-25 06:25:59.333164 : Epoch  4, Batch    791, Loss  0.878764, Average Loss  0.870995, Time  0.446804
2021-09-25 06:26:05.372079 : Epoch  4, Batch    792, Loss  0.871268, Average Loss  0.871004, Time  0.446171
2021-09-25 06:26:11.404882 : Epoch  4, Batch    793, Loss  0.869900, Average Loss  0.870937, Time  0.450083
2021-09-25 06:26:13.924485 : CheckPoint: Validation Loss  0.00015276, Best Loss  0.00014804
2021-09-25 06:26:17.457781 : Epoch  4, Batch    794, Loss  0.859706, Average Loss  0.870873, Time  0.445259
2021-09-25 06:26:19.988952 : Epoch  5, Batch    189, Loss  0.861881, Average Loss  0.869616, Time  0.447285
2021-09-25 06:26:23.476157 : Epoch  4, Batch    795, Loss  0.864579, Average Loss  0.870888, Time  0.445761
2021-09-25 06:26:26.060965 : Epoch  5, Batch    190, Loss  0.870463, Average Loss  0.869649, Time  0.444533
2021-09-25 06:26:29.525892 : Epoch  4, Batch    796, Loss  0.853018, Average Loss  0.870831, Time  0.447623
2021-09-25 06:26:32.150694 : Epoch  5, Batch    191, Loss  0.867986, Average Loss  0.869671, Time  0.445326
2021-09-25 06:26:35.591795 : Epoch  4, Batch    797, Loss  0.853994, Average Loss  0.870697, Time  0.459330
2021-09-25 06:26:38.241775 : Epoch  5, Batch    192, Loss  0.871753, Average Loss  0.869705, Time  0.463336
2021-09-25 06:26:41.620541 : Epoch  4, Batch    798, Loss  0.858725, Average Loss  0.870651, Time  0.447305
2021-09-25 06:26:44.315712 : Epoch  5, Batch    193, Loss  0.854426, Average Loss  0.869614, Time  0.446608
2021-09-25 06:26:47.654634 : Epoch  4, Batch    799, Loss  0.874509, Average Loss  0.870643, Time  0.445952
2021-09-25 06:26:50.383728 : Epoch  5, Batch    194, Loss  0.858247, Average Loss  0.869597, Time  0.445719
2021-09-25 06:26:53.690439 : Epoch  4, Batch    800, Loss  0.869983, Average Loss  0.870642, Time  0.444990
2021-09-25 06:26:56.454276 : Epoch  5, Batch    195, Loss  0.879622, Average Loss  0.869595, Time  0.448935
2021-09-25 06:26:59.717951 : Epoch  4, Batch    801, Loss  0.869392, Average Loss  0.870649, Time  0.445095
2021-09-25 06:27:02.543324 : Epoch  5, Batch    196, Loss  0.873589, Average Loss  0.869594, Time  0.450569
2021-09-25 06:27:05.756188 : Epoch  4, Batch    802, Loss  0.868415, Average Loss  0.870608, Time  0.445544
2021-09-25 06:27:08.643809 : Epoch  5, Batch    197, Loss  0.876008, Average Loss  0.869680, Time  0.446937
2021-09-25 06:27:11.809893 : Epoch  4, Batch    803, Loss  0.882360, Average Loss  0.870669, Time  0.446863
2021-09-25 06:27:14.731942 : Epoch  5, Batch    198, Loss  0.873965, Average Loss  0.869705, Time  0.445716
2021-09-25 06:27:17.859924 : Epoch  4, Batch    804, Loss  0.865695, Average Loss  0.870712, Time  0.458816
2021-09-25 06:27:20.827746 : Epoch  5, Batch    199, Loss  0.883291, Average Loss  0.869817, Time  0.459952
2021-09-25 06:27:23.898421 : Epoch  4, Batch    805, Loss  0.867385, Average Loss  0.870707, Time  0.449223
2021-09-25 06:27:26.908223 : Epoch  5, Batch    200, Loss  0.844896, Average Loss  0.869691, Time  0.445489
2021-09-25 06:27:29.949531 : Epoch  4, Batch    806, Loss  0.862823, Average Loss  0.870708, Time  0.447208
2021-09-25 06:27:32.998335 : Epoch  5, Batch    201, Loss  0.868989, Average Loss  0.869736, Time  0.451081
2021-09-25 06:27:36.012996 : Epoch  4, Batch    807, Loss  0.853345, Average Loss  0.870604, Time  0.450567
2021-09-25 06:27:39.113224 : Epoch  5, Batch    202, Loss  0.871412, Average Loss  0.869665, Time  0.444762
2021-09-25 06:27:42.052830 : Epoch  4, Batch    808, Loss  0.875680, Average Loss  0.870651, Time  0.452791
2021-09-25 06:27:45.180810 : Epoch  5, Batch    203, Loss  0.861780, Average Loss  0.869671, Time  0.445103
2021-09-25 06:27:48.110840 : Epoch  4, Batch    809, Loss  0.870308, Average Loss  0.870667, Time  0.449157
2021-09-25 06:27:51.254471 : Epoch  5, Batch    204, Loss  0.854149, Average Loss  0.869526, Time  0.447386
2021-09-25 06:27:54.133160 : Epoch  4, Batch    810, Loss  0.863806, Average Loss  0.870641, Time  0.446327
2021-09-25 06:27:57.316794 : Epoch  5, Batch    205, Loss  0.864970, Average Loss  0.869518, Time  0.445214
2021-09-25 06:28:00.146211 : Epoch  4, Batch    811, Loss  0.881248, Average Loss  0.870711, Time  0.445275
2021-09-25 06:28:03.398239 : Epoch  5, Batch    206, Loss  0.860426, Average Loss  0.869452, Time  0.449914
2021-09-25 06:28:06.178435 : Epoch  4, Batch    812, Loss  0.871857, Average Loss  0.870763, Time  0.456712
2021-09-25 06:28:09.495341 : Epoch  5, Batch    207, Loss  0.862940, Average Loss  0.869506, Time  0.455600
2021-09-25 06:28:12.244419 : Epoch  4, Batch    813, Loss  0.882751, Average Loss  0.870803, Time  0.455629
2021-09-25 06:28:15.602651 : Epoch  5, Batch    208, Loss  0.877951, Average Loss  0.869553, Time  0.448104
2021-09-25 06:28:18.304987 : Epoch  4, Batch    814, Loss  0.889871, Average Loss  0.870916, Time  0.452552
2021-09-25 06:28:21.704724 : Epoch  5, Batch    209, Loss  0.870111, Average Loss  0.869548, Time  0.446108
2021-09-25 06:28:24.343678 : Epoch  4, Batch    815, Loss  0.875611, Average Loss  0.870910, Time  0.447817
2021-09-25 06:28:27.793809 : Epoch  5, Batch    210, Loss  0.879469, Average Loss  0.869558, Time  0.446633
2021-09-25 06:28:30.393244 : Epoch  4, Batch    816, Loss  0.859867, Average Loss  0.870816, Time  0.446762
2021-09-25 06:28:33.876246 : Epoch  5, Batch    211, Loss  0.877640, Average Loss  0.869615, Time  0.448698
2021-09-25 06:28:39.964075 : Epoch  5, Batch    212, Loss  0.867657, Average Loss  0.869642, Time  0.446735
2021-09-25 06:28:46.053337 : Epoch  5, Batch    213, Loss  0.879556, Average Loss  0.869639, Time  0.447840
2021-09-25 06:28:52.185929 : Epoch  5, Batch    214, Loss  0.862107, Average Loss  0.869540, Time  0.460691
2021-09-25 06:28:58.246927 : Epoch  5, Batch    215, Loss  0.870217, Average Loss  0.869552, Time  0.445151
2021-09-25 06:29:04.334298 : Epoch  5, Batch    216, Loss  0.885280, Average Loss  0.869562, Time  0.445081
2021-09-25 06:29:10.414863 : Epoch  5, Batch    217, Loss  0.859710, Average Loss  0.869551, Time  0.445109
2021-09-25 06:29:16.498419 : Epoch  5, Batch    218, Loss  0.889324, Average Loss  0.869656, Time  0.448019
2021-09-25 06:29:22.593182 : Epoch  5, Batch    219, Loss  0.870037, Average Loss  0.869666, Time  0.446472
2021-09-25 06:29:28.681146 : Epoch  5, Batch    220, Loss  0.870014, Average Loss  0.869700, Time  0.445914
2021-09-25 06:29:34.774887 : Epoch  5, Batch    221, Loss  0.882494, Average Loss  0.869774, Time  0.445363
2021-09-25 06:29:40.853319 : Epoch  5, Batch    222, Loss  0.852434, Average Loss  0.869716, Time  0.459616
2021-09-25 06:29:46.933929 : Epoch  5, Batch    223, Loss  0.872118, Average Loss  0.869640, Time  0.444558
2021-09-25 06:29:53.013032 : Epoch  5, Batch    224, Loss  0.873679, Average Loss  0.869678, Time  0.447465
2021-09-25 06:29:59.085710 : Epoch  5, Batch    225, Loss  0.867276, Average Loss  0.869627, Time  0.445007
2021-09-25 06:30:05.152904 : Epoch  5, Batch    226, Loss  0.857530, Average Loss  0.869544, Time  0.448038
2021-09-25 06:30:11.225116 : Epoch  5, Batch    227, Loss  0.869388, Average Loss  0.869671, Time  0.445667
2021-09-25 06:30:17.316501 : Epoch  5, Batch    228, Loss  0.882883, Average Loss  0.869677, Time  0.447587
2021-09-25 06:30:23.407236 : Epoch  5, Batch    229, Loss  0.873429, Average Loss  0.869722, Time  0.455118
2021-09-25 06:30:29.504749 : Epoch  5, Batch    230, Loss  0.867984, Average Loss  0.869716, Time  0.447317
2021-09-25 06:30:35.566176 : Epoch  5, Batch    231, Loss  0.885164, Average Loss  0.869817, Time  0.447127
2021-09-25 06:30:41.648162 : Epoch  5, Batch    232, Loss  0.860273, Average Loss  0.869696, Time  0.447150
2021-09-25 06:30:47.856137 : Epoch  5, Batch    233, Loss  0.883795, Average Loss  0.869788, Time  0.449542
2021-09-25 06:30:53.966812 : Epoch  5, Batch    234, Loss  0.872529, Average Loss  0.869878, Time  0.449062
2021-09-25 06:31:00.066757 : Epoch  5, Batch    235, Loss  0.865040, Average Loss  0.869796, Time  0.451942
2021-09-25 06:31:06.181631 : Epoch  5, Batch    236, Loss  0.865219, Average Loss  0.869759, Time  0.454964
2021-09-25 06:31:12.283502 : Epoch  5, Batch    237, Loss  0.877995, Average Loss  0.869800, Time  0.458222
2021-09-25 06:31:18.395751 : Epoch  5, Batch    238, Loss  0.863901, Average Loss  0.869766, Time  0.447552
2021-09-25 06:31:24.493211 : Epoch  5, Batch    239, Loss  0.870290, Average Loss  0.869802, Time  0.447073
2021-09-25 06:31:30.597634 : Epoch  5, Batch    240, Loss  0.870545, Average Loss  0.869821, Time  0.448944
2021-09-25 06:31:36.680417 : Epoch  5, Batch    241, Loss  0.876167, Average Loss  0.869902, Time  0.446552
2021-09-25 06:31:42.768098 : Epoch  5, Batch    242, Loss  0.872295, Average Loss  0.869920, Time  0.445537
2021-09-25 06:31:48.874172 : Epoch  5, Batch    243, Loss  0.879455, Average Loss  0.870010, Time  0.446964
2021-09-25 06:31:54.979981 : Epoch  5, Batch    244, Loss  0.876098, Average Loss  0.870036, Time  0.461453
2021-09-25 06:32:01.066370 : Epoch  5, Batch    245, Loss  0.866066, Average Loss  0.869954, Time  0.445464
2021-09-25 06:32:07.178351 : Epoch  5, Batch    246, Loss  0.882328, Average Loss  0.870040, Time  0.447649
2021-09-25 06:32:13.266588 : Epoch  5, Batch    247, Loss  0.853270, Average Loss  0.869947, Time  0.446018
2021-09-25 06:32:19.364464 : Epoch  5, Batch    248, Loss  0.859571, Average Loss  0.869937, Time  0.451507
2021-09-25 06:32:25.478105 : Epoch  5, Batch    249, Loss  0.868688, Average Loss  0.869917, Time  0.446885
2021-09-25 06:32:31.559288 : Epoch  5, Batch    250, Loss  0.871294, Average Loss  0.869930, Time  0.445615
2021-09-25 06:32:37.661423 : Epoch  5, Batch    251, Loss  0.867720, Average Loss  0.869889, Time  0.449030
2021-09-25 06:32:43.751177 : Epoch  5, Batch    252, Loss  0.867023, Average Loss  0.869805, Time  0.455874
2021-09-25 06:32:49.824116 : Epoch  5, Batch    253, Loss  0.853001, Average Loss  0.869691, Time  0.446091
2021-09-25 06:32:55.898869 : Epoch  5, Batch    254, Loss  0.869208, Average Loss  0.869672, Time  0.447362
2021-09-25 06:33:01.989910 : Epoch  5, Batch    255, Loss  0.868178, Average Loss  0.869661, Time  0.446456
2021-09-25 06:33:08.059922 : Epoch  5, Batch    256, Loss  0.869959, Average Loss  0.869642, Time  0.446230
2021-09-25 06:33:14.134771 : Epoch  5, Batch    257, Loss  0.862062, Average Loss  0.869570, Time  0.445279
2021-09-25 06:33:18.281796 : CheckPoint: Validation Loss  0.00015330, Best Loss  0.00014852
2021-09-25 06:33:20.215494 : Epoch  5, Batch    258, Loss  0.869496, Average Loss  0.869574, Time  0.448550
2021-09-25 06:33:24.334659 : Epoch  4, Batch    817, Loss  0.856082, Average Loss  0.870701, Time  0.459423
2021-09-25 06:33:26.299256 : Epoch  5, Batch    259, Loss  0.867129, Average Loss  0.869576, Time  0.459618
2021-09-25 06:33:30.387859 : Epoch  4, Batch    818, Loss  0.865036, Average Loss  0.870644, Time  0.445156
2021-09-25 06:33:32.371102 : Epoch  5, Batch    260, Loss  0.874565, Average Loss  0.869626, Time  0.447249
2021-09-25 06:33:36.457479 : Epoch  4, Batch    819, Loss  0.868234, Average Loss  0.870589, Time  0.445703
2021-09-25 06:33:38.459369 : Epoch  5, Batch    261, Loss  0.874058, Average Loss  0.869639, Time  0.448840
2021-09-25 06:33:42.509809 : Epoch  4, Batch    820, Loss  0.858172, Average Loss  0.870597, Time  0.445665
2021-09-25 06:33:44.548493 : Epoch  5, Batch    262, Loss  0.871168, Average Loss  0.869605, Time  0.447019
2021-09-25 06:33:48.552769 : Epoch  4, Batch    821, Loss  0.883898, Average Loss  0.870661, Time  0.449194
2021-09-25 06:33:50.609196 : Epoch  5, Batch    263, Loss  0.866887, Average Loss  0.869648, Time  0.445761
2021-09-25 06:33:54.624978 : Epoch  4, Batch    822, Loss  0.869731, Average Loss  0.870660, Time  0.454432
2021-09-25 06:33:56.710429 : Epoch  5, Batch    264, Loss  0.881436, Average Loss  0.869731, Time  0.446987
2021-09-25 06:34:00.697790 : Epoch  4, Batch    823, Loss  0.858391, Average Loss  0.870584, Time  0.445555
2021-09-25 06:34:02.801534 : Epoch  5, Batch    265, Loss  0.871776, Average Loss  0.869744, Time  0.446759
2021-09-25 06:34:06.776727 : Epoch  4, Batch    824, Loss  0.854660, Average Loss  0.870479, Time  0.448737
2021-09-25 06:34:08.887431 : Epoch  5, Batch    266, Loss  0.857450, Average Loss  0.869663, Time  0.446160
2021-09-25 06:34:12.851754 : Epoch  4, Batch    825, Loss  0.883327, Average Loss  0.870557, Time  0.457103
2021-09-25 06:34:14.997664 : Epoch  5, Batch    267, Loss  0.857175, Average Loss  0.869626, Time  0.455226
2021-09-25 06:34:18.931080 : Epoch  4, Batch    826, Loss  0.860877, Average Loss  0.870430, Time  0.446739
2021-09-25 06:34:21.083060 : Epoch  5, Batch    268, Loss  0.862148, Average Loss  0.869586, Time  0.445008
2021-09-25 06:34:24.983663 : Epoch  4, Batch    827, Loss  0.859478, Average Loss  0.870400, Time  0.446816
2021-09-25 06:34:27.175800 : Epoch  5, Batch    269, Loss  0.860161, Average Loss  0.869541, Time  0.448892
2021-09-25 06:34:31.062918 : Epoch  4, Batch    828, Loss  0.867142, Average Loss  0.870364, Time  0.452670
2021-09-25 06:34:33.255744 : Epoch  5, Batch    270, Loss  0.862141, Average Loss  0.869503, Time  0.446180
2021-09-25 06:34:37.112869 : Epoch  4, Batch    829, Loss  0.869898, Average Loss  0.870292, Time  0.446567
2021-09-25 06:34:39.329525 : Epoch  5, Batch    271, Loss  0.864933, Average Loss  0.869448, Time  0.446499
2021-09-25 06:34:43.170412 : Epoch  4, Batch    830, Loss  0.876599, Average Loss  0.870317, Time  0.446139
2021-09-25 06:34:45.435670 : Epoch  5, Batch    272, Loss  0.875381, Average Loss  0.869402, Time  0.447600
2021-09-25 06:34:49.220580 : Epoch  4, Batch    831, Loss  0.860178, Average Loss  0.870337, Time  0.445302
2021-09-25 06:34:51.499607 : Epoch  5, Batch    273, Loss  0.866132, Average Loss  0.869427, Time  0.446511
2021-09-25 06:34:55.280545 : Epoch  4, Batch    832, Loss  0.872239, Average Loss  0.870411, Time  0.455986
2021-09-25 06:34:57.600153 : Epoch  5, Batch    274, Loss  0.868866, Average Loss  0.869452, Time  0.468018
2021-09-25 06:35:01.317377 : Epoch  4, Batch    833, Loss  0.863023, Average Loss  0.870389, Time  0.445252
2021-09-25 06:35:03.684381 : Epoch  5, Batch    275, Loss  0.882561, Average Loss  0.869494, Time  0.447630
2021-09-25 06:35:07.373520 : Epoch  4, Batch    834, Loss  0.884250, Average Loss  0.870436, Time  0.451294
2021-09-25 06:35:09.775073 : Epoch  5, Batch    276, Loss  0.862578, Average Loss  0.869540, Time  0.447324
2021-09-25 06:35:13.430269 : Epoch  4, Batch    835, Loss  0.855010, Average Loss  0.870336, Time  0.447530
2021-09-25 06:35:15.866744 : Epoch  5, Batch    277, Loss  0.860116, Average Loss  0.869479, Time  0.447217
2021-09-25 06:35:19.496276 : Epoch  4, Batch    836, Loss  0.848253, Average Loss  0.870250, Time  0.449423
2021-09-25 06:35:21.945507 : Epoch  5, Batch    278, Loss  0.871639, Average Loss  0.869466, Time  0.445561
2021-09-25 06:35:25.564869 : Epoch  4, Batch    837, Loss  0.883471, Average Loss  0.870245, Time  0.448178
2021-09-25 06:35:28.030170 : Epoch  5, Batch    279, Loss  0.865176, Average Loss  0.869411, Time  0.444939
2021-09-25 06:35:31.632601 : Epoch  4, Batch    838, Loss  0.869283, Average Loss  0.870223, Time  0.445555
2021-09-25 06:35:34.169135 : Epoch  5, Batch    280, Loss  0.864320, Average Loss  0.869457, Time  0.453353
2021-09-25 06:35:37.683805 : Epoch  4, Batch    839, Loss  0.849113, Average Loss  0.870037, Time  0.446417
2021-09-25 06:35:40.274192 : Epoch  5, Batch    281, Loss  0.875396, Average Loss  0.869411, Time  0.451162
2021-09-25 06:35:43.755861 : Epoch  4, Batch    840, Loss  0.879916, Average Loss  0.870060, Time  0.454936
2021-09-25 06:35:46.401354 : Epoch  5, Batch    282, Loss  0.864117, Average Loss  0.869448, Time  0.457356
2021-09-25 06:35:49.797761 : Epoch  4, Batch    841, Loss  0.875921, Average Loss  0.870078, Time  0.448305
2021-09-25 06:35:52.494318 : Epoch  5, Batch    283, Loss  0.860188, Average Loss  0.869457, Time  0.447335
2021-09-25 06:35:55.847684 : Epoch  4, Batch    842, Loss  0.874991, Average Loss  0.869986, Time  0.449738
2021-09-25 06:35:58.560596 : Epoch  5, Batch    284, Loss  0.870907, Average Loss  0.869452, Time  0.445171
2021-09-25 06:36:01.911884 : Epoch  4, Batch    843, Loss  0.872255, Average Loss  0.869954, Time  0.450729
2021-09-25 06:36:04.633540 : Epoch  5, Batch    285, Loss  0.884375, Average Loss  0.869479, Time  0.445173
2021-09-25 06:36:07.972538 : Epoch  4, Batch    844, Loss  0.867429, Average Loss  0.870001, Time  0.449162
2021-09-25 06:36:10.726271 : Epoch  5, Batch    286, Loss  0.874451, Average Loss  0.869491, Time  0.448968
2021-09-25 06:36:14.024328 : Epoch  4, Batch    845, Loss  0.852326, Average Loss  0.869919, Time  0.451795
2021-09-25 06:36:16.784934 : Epoch  5, Batch    287, Loss  0.873690, Average Loss  0.869532, Time  0.445691
2021-09-25 06:36:20.095839 : Epoch  4, Batch    846, Loss  0.890594, Average Loss  0.869965, Time  0.448079
2021-09-25 06:36:26.198230 : Epoch  4, Batch    847, Loss  0.865419, Average Loss  0.869956, Time  0.463820
2021-09-25 06:36:29.123010 : Epoch  5, Batch    288, Loss  0.886535, Average Loss  0.869558, Time  0.459595
2021-09-25 06:36:32.308950 : Epoch  4, Batch    848, Loss  0.887238, Average Loss  0.870067, Time  0.455586
2021-09-25 06:36:38.383330 : Epoch  4, Batch    849, Loss  0.887553, Average Loss  0.870165, Time  0.446337
2021-09-25 06:36:44.439896 : Epoch  4, Batch    850, Loss  0.870800, Average Loss  0.870152, Time  0.445884
2021-09-25 06:36:50.483691 : Epoch  4, Batch    851, Loss  0.857482, Average Loss  0.870019, Time  0.446753
2021-09-25 06:36:56.521913 : Epoch  4, Batch    852, Loss  0.876145, Average Loss  0.870027, Time  0.445670
2021-09-25 06:37:02.587954 : Epoch  4, Batch    853, Loss  0.880393, Average Loss  0.870148, Time  0.446001
2021-09-25 06:37:08.641327 : Epoch  4, Batch    854, Loss  0.871008, Average Loss  0.870175, Time  0.449814
2021-09-25 06:37:14.722848 : Epoch  4, Batch    855, Loss  0.872541, Average Loss  0.870175, Time  0.462831
2021-09-25 06:37:20.766370 : Epoch  4, Batch    856, Loss  0.886723, Average Loss  0.870243, Time  0.446444
2021-09-25 06:37:26.805694 : Epoch  4, Batch    857, Loss  0.872446, Average Loss  0.870299, Time  0.445925
2021-09-25 06:37:32.853725 : Epoch  4, Batch    858, Loss  0.862388, Average Loss  0.870214, Time  0.446098
2021-09-25 06:37:38.903831 : Epoch  4, Batch    859, Loss  0.866917, Average Loss  0.870209, Time  0.445478
2021-09-25 06:37:44.962693 : Epoch  4, Batch    860, Loss  0.886728, Average Loss  0.870338, Time  0.445864
2021-09-25 06:37:51.010793 : Epoch  4, Batch    861, Loss  0.879081, Average Loss  0.870448, Time  0.446341
2021-09-25 06:37:57.072193 : Epoch  4, Batch    862, Loss  0.854738, Average Loss  0.870333, Time  0.462402
2021-09-25 06:38:03.125844 : Epoch  4, Batch    863, Loss  0.870555, Average Loss  0.870363, Time  0.451550
2021-09-25 06:38:09.188511 : Epoch  4, Batch    864, Loss  0.866285, Average Loss  0.870373, Time  0.447238
2021-09-25 06:38:15.242955 : Epoch  4, Batch    865, Loss  0.866606, Average Loss  0.870380, Time  0.449167
2021-09-25 06:38:21.311626 : Epoch  4, Batch    866, Loss  0.869795, Average Loss  0.870348, Time  0.451187
2021-09-25 06:38:27.402984 : Epoch  4, Batch    867, Loss  0.879947, Average Loss  0.870399, Time  0.454789
2021-09-25 06:38:33.494679 : Epoch  4, Batch    868, Loss  0.868783, Average Loss  0.870435, Time  0.448043
2021-09-25 06:38:39.574824 : Epoch  4, Batch    869, Loss  0.849694, Average Loss  0.870266, Time  0.447260
2021-09-25 06:38:45.687351 : Epoch  4, Batch    870, Loss  0.869197, Average Loss  0.870258, Time  0.464461
2021-09-25 06:38:51.770220 : Epoch  4, Batch    871, Loss  0.853100, Average Loss  0.870113, Time  0.448579
2021-09-25 06:38:57.837516 : Epoch  4, Batch    872, Loss  0.870319, Average Loss  0.870117, Time  0.447331
2021-09-25 06:39:03.893795 : Epoch  4, Batch    873, Loss  0.877286, Average Loss  0.870221, Time  0.448571
2021-09-25 06:39:09.957434 : Epoch  4, Batch    874, Loss  0.872951, Average Loss  0.870197, Time  0.445901
2021-09-25 06:39:16.011515 : Epoch  4, Batch    875, Loss  0.872380, Average Loss  0.870207, Time  0.445845
2021-09-25 06:39:22.051911 : Epoch  4, Batch    876, Loss  0.883135, Average Loss  0.870237, Time  0.445395
2021-09-25 06:39:28.132178 : Epoch  4, Batch    877, Loss  0.874484, Average Loss  0.870284, Time  0.459752
2021-09-25 06:39:34.179547 : Epoch  4, Batch    878, Loss  0.865113, Average Loss  0.870345, Time  0.448817
2021-09-25 06:39:40.230621 : Epoch  4, Batch    879, Loss  0.868984, Average Loss  0.870317, Time  0.445742
2021-09-25 06:39:46.286980 : Epoch  4, Batch    880, Loss  0.878519, Average Loss  0.870417, Time  0.445835
2021-09-25 06:39:52.346113 : Epoch  4, Batch    881, Loss  0.865419, Average Loss  0.870422, Time  0.446843
2021-09-25 06:39:58.382006 : Epoch  4, Batch    882, Loss  0.864567, Average Loss  0.870427, Time  0.446923
2021-09-25 06:40:04.464887 : Epoch  4, Batch    883, Loss  0.885850, Average Loss  0.870502, Time  0.446212
2021-09-25 06:40:10.533241 : Epoch  4, Batch    884, Loss  0.886756, Average Loss  0.870494, Time  0.449574
2021-09-25 06:40:16.609221 : Epoch  4, Batch    885, Loss  0.893036, Average Loss  0.870566, Time  0.460137
2021-09-25 06:40:22.691371 : Epoch  4, Batch    886, Loss  0.866097, Average Loss  0.870495, Time  0.452034
2021-09-25 06:40:28.753852 : Epoch  4, Batch    887, Loss  0.855185, Average Loss  0.870463, Time  0.447518
2021-09-25 06:40:34.831539 : Epoch  4, Batch    888, Loss  0.867657, Average Loss  0.870532, Time  0.448983
2021-09-25 06:40:40.889482 : Epoch  4, Batch    889, Loss  0.870062, Average Loss  0.870602, Time  0.445415
2021-09-25 06:40:46.940568 : Epoch  4, Batch    890, Loss  0.867652, Average Loss  0.870662, Time  0.446715
2021-09-25 06:40:52.994570 : Epoch  4, Batch    891, Loss  0.861483, Average Loss  0.870606, Time  0.446682
2021-09-25 06:40:59.087266 : Epoch  4, Batch    892, Loss  0.872341, Average Loss  0.870582, Time  0.461400
2021-09-25 06:41:05.141845 : Epoch  4, Batch    893, Loss  0.881987, Average Loss  0.870635, Time  0.445042
2021-09-25 06:41:11.202673 : Epoch  4, Batch    894, Loss  0.864031, Average Loss  0.870567, Time  0.448591
2021-09-25 06:41:13.447192 : CheckPoint: Validation Loss  0.00015319, Best Loss  0.00014804
2021-09-25 06:41:17.274432 : Epoch  4, Batch    895, Loss  0.872990, Average Loss  0.870629, Time  0.445204
2021-09-25 06:41:19.528681 : Epoch  5, Batch    289, Loss  0.862115, Average Loss  0.869488, Time  0.448789
2021-09-25 06:41:23.329420 : Epoch  4, Batch    896, Loss  0.862711, Average Loss  0.870533, Time  0.448501
2021-09-25 06:41:25.624340 : Epoch  5, Batch    290, Loss  0.876455, Average Loss  0.869541, Time  0.447112
2021-09-25 06:41:29.407370 : Epoch  4, Batch    897, Loss  0.884981, Average Loss  0.870567, Time  0.450633
2021-09-25 06:41:31.707947 : Epoch  5, Batch    291, Loss  0.872866, Average Loss  0.869504, Time  0.445825
2021-09-25 06:41:35.452643 : Epoch  4, Batch    898, Loss  0.862407, Average Loss  0.870543, Time  0.446661
2021-09-25 06:41:37.794112 : Epoch  5, Batch    292, Loss  0.868478, Average Loss  0.869451, Time  0.450265
2021-09-25 06:41:41.500106 : Epoch  4, Batch    899, Loss  0.869780, Average Loss  0.870531, Time  0.446025
2021-09-25 06:41:43.864181 : Epoch  5, Batch    293, Loss  0.869651, Average Loss  0.869491, Time  0.446148
2021-09-25 06:41:47.577644 : Epoch  4, Batch    900, Loss  0.878252, Average Loss  0.870456, Time  0.456801
2021-09-25 06:41:49.951538 : Epoch  5, Batch    294, Loss  0.871644, Average Loss  0.869461, Time  0.458311
2021-09-25 06:41:53.634857 : Epoch  4, Batch    901, Loss  0.863342, Average Loss  0.870454, Time  0.445825
2021-09-25 06:41:56.038929 : Epoch  5, Batch    295, Loss  0.869533, Average Loss  0.869427, Time  0.445347
2021-09-25 06:41:59.692824 : Epoch  4, Batch    902, Loss  0.869171, Average Loss  0.870525, Time  0.446514
2021-09-25 06:42:02.120414 : Epoch  5, Batch    296, Loss  0.890988, Average Loss  0.869533, Time  0.444903
2021-09-25 06:42:05.776155 : Epoch  4, Batch    903, Loss  0.878146, Average Loss  0.870615, Time  0.452533
2021-09-25 06:42:08.195808 : Epoch  5, Batch    297, Loss  0.868273, Average Loss  0.869460, Time  0.445050
2021-09-25 06:42:11.822038 : Epoch  4, Batch    904, Loss  0.867798, Average Loss  0.870556, Time  0.445971
2021-09-25 06:42:14.265809 : Epoch  5, Batch    298, Loss  0.856470, Average Loss  0.869386, Time  0.445350
2021-09-25 06:42:17.870738 : Epoch  4, Batch    905, Loss  0.852032, Average Loss  0.870501, Time  0.447723
2021-09-25 06:42:20.362735 : Epoch  5, Batch    299, Loss  0.875534, Average Loss  0.869445, Time  0.446363
2021-09-25 06:42:23.934656 : Epoch  4, Batch    906, Loss  0.867930, Average Loss  0.870477, Time  0.447104
2021-09-25 06:42:26.456945 : Epoch  5, Batch    300, Loss  0.872832, Average Loss  0.869519, Time  0.446770
2021-09-25 06:42:30.014119 : Epoch  4, Batch    907, Loss  0.863099, Average Loss  0.870561, Time  0.457639
2021-09-25 06:42:32.526363 : Epoch  5, Batch    301, Loss  0.863819, Average Loss  0.869458, Time  0.446634
2021-09-25 06:42:36.092033 : Epoch  4, Batch    908, Loss  0.862336, Average Loss  0.870575, Time  0.445873
2021-09-25 06:42:38.628639 : Epoch  5, Batch    302, Loss  0.853913, Average Loss  0.869412, Time  0.460718
2021-09-25 06:42:42.143687 : Epoch  4, Batch    909, Loss  0.875004, Average Loss  0.870600, Time  0.445422
2021-09-25 06:42:44.697681 : Epoch  5, Batch    303, Loss  0.860731, Average Loss  0.869414, Time  0.445035
2021-09-25 06:42:48.190560 : Epoch  4, Batch    910, Loss  0.876454, Average Loss  0.870579, Time  0.445483
2021-09-25 06:42:50.786065 : Epoch  5, Batch    304, Loss  0.862936, Average Loss  0.869304, Time  0.445999
2021-09-25 06:42:54.259882 : Epoch  4, Batch    911, Loss  0.874368, Average Loss  0.870598, Time  0.449449
2021-09-25 06:42:56.850508 : Epoch  5, Batch    305, Loss  0.873732, Average Loss  0.869233, Time  0.449166
2021-09-25 06:43:00.318890 : Epoch  4, Batch    912, Loss  0.886980, Average Loss  0.870723, Time  0.446049
2021-09-25 06:43:02.924007 : Epoch  5, Batch    306, Loss  0.858851, Average Loss  0.869274, Time  0.445071
2021-09-25 06:43:06.356826 : Epoch  4, Batch    913, Loss  0.873283, Average Loss  0.870737, Time  0.448312
2021-09-25 06:43:09.010346 : Epoch  5, Batch    307, Loss  0.881888, Average Loss  0.869372, Time  0.447533
2021-09-25 06:43:12.406855 : Epoch  4, Batch    914, Loss  0.872663, Average Loss  0.870762, Time  0.446110
2021-09-25 06:43:15.099644 : Epoch  5, Batch    308, Loss  0.869142, Average Loss  0.869377, Time  0.445857
2021-09-25 06:43:18.471728 : Epoch  4, Batch    915, Loss  0.877864, Average Loss  0.870812, Time  0.459100
2021-09-25 06:43:21.190639 : Epoch  5, Batch    309, Loss  0.873428, Average Loss  0.869433, Time  0.453362
2021-09-25 06:43:24.530477 : Epoch  4, Batch    916, Loss  0.880349, Average Loss  0.870834, Time  0.448812
2021-09-25 06:43:27.296144 : Epoch  5, Batch    310, Loss  0.864239, Average Loss  0.869421, Time  0.450707
2021-09-25 06:43:33.400403 : Epoch  5, Batch    311, Loss  0.868179, Average Loss  0.869422, Time  0.447335
2021-09-25 06:43:39.502927 : Epoch  5, Batch    312, Loss  0.888080, Average Loss  0.869521, Time  0.445344
2021-09-25 06:43:45.601730 : Epoch  5, Batch    313, Loss  0.854577, Average Loss  0.869455, Time  0.448173
2021-09-25 06:43:51.722830 : Epoch  5, Batch    314, Loss  0.869060, Average Loss  0.869458, Time  0.451131
2021-09-25 06:43:57.804892 : Epoch  5, Batch    315, Loss  0.871246, Average Loss  0.869463, Time  0.445938
2021-09-25 06:44:03.866847 : Epoch  5, Batch    316, Loss  0.871800, Average Loss  0.869497, Time  0.445935
2021-09-25 06:44:09.966659 : Epoch  5, Batch    317, Loss  0.872167, Average Loss  0.869497, Time  0.456525
2021-09-25 06:44:16.050821 : Epoch  5, Batch    318, Loss  0.871662, Average Loss  0.869439, Time  0.450034
2021-09-25 06:44:22.136448 : Epoch  5, Batch    319, Loss  0.872347, Average Loss  0.869476, Time  0.447481
2021-09-25 06:44:28.224033 : Epoch  5, Batch    320, Loss  0.871274, Average Loss  0.869532, Time  0.449165
2021-09-25 06:44:34.311327 : Epoch  5, Batch    321, Loss  0.855539, Average Loss  0.869468, Time  0.447803
2021-09-25 06:44:40.400537 : Epoch  5, Batch    322, Loss  0.874272, Average Loss  0.869542, Time  0.446379
2021-09-25 06:44:46.475850 : Epoch  5, Batch    323, Loss  0.872868, Average Loss  0.869573, Time  0.445071
2021-09-25 06:44:52.562874 : Epoch  5, Batch    324, Loss  0.861976, Average Loss  0.869468, Time  0.456247
2021-09-25 06:44:58.695894 : Epoch  5, Batch    325, Loss  0.886541, Average Loss  0.869527, Time  0.445656
2021-09-25 06:45:04.753300 : Epoch  5, Batch    326, Loss  0.885268, Average Loss  0.869622, Time  0.445539
2021-09-25 06:45:10.837203 : Epoch  5, Batch    327, Loss  0.873288, Average Loss  0.869638, Time  0.445203
2021-09-25 06:45:16.924918 : Epoch  5, Batch    328, Loss  0.866248, Average Loss  0.869634, Time  0.445599
2021-09-25 06:45:23.030307 : Epoch  5, Batch    329, Loss  0.858978, Average Loss  0.869516, Time  0.448593
2021-09-25 06:45:29.105625 : Epoch  5, Batch    330, Loss  0.845320, Average Loss  0.869379, Time  0.447098
2021-09-25 06:45:35.205866 : Epoch  5, Batch    331, Loss  0.863083, Average Loss  0.869311, Time  0.448068
2021-09-25 06:45:41.298092 : Epoch  5, Batch    332, Loss  0.872723, Average Loss  0.869278, Time  0.461235
2021-09-25 06:45:47.401480 : Epoch  5, Batch    333, Loss  0.873013, Average Loss  0.869300, Time  0.445266
2021-09-25 06:45:53.516868 : Epoch  5, Batch    334, Loss  0.860579, Average Loss  0.869227, Time  0.447876
2021-09-25 06:45:59.585898 : Epoch  5, Batch    335, Loss  0.867074, Average Loss  0.869221, Time  0.452114
2021-09-25 06:46:05.666893 : Epoch  5, Batch    336, Loss  0.870386, Average Loss  0.869216, Time  0.445314
2021-09-25 06:46:11.744738 : Epoch  5, Batch    337, Loss  0.866381, Average Loss  0.869179, Time  0.446269
2021-09-25 06:46:17.824358 : Epoch  5, Batch    338, Loss  0.873298, Average Loss  0.869229, Time  0.445430
2021-09-25 06:46:23.905654 : Epoch  5, Batch    339, Loss  0.871198, Average Loss  0.869250, Time  0.461326
2021-09-25 06:46:30.006875 : Epoch  5, Batch    340, Loss  0.860823, Average Loss  0.869238, Time  0.447063
2021-09-25 06:46:36.100440 : Epoch  5, Batch    341, Loss  0.855953, Average Loss  0.869122, Time  0.447416
2021-09-25 06:46:42.169990 : Epoch  5, Batch    342, Loss  0.862965, Average Loss  0.869058, Time  0.447437
2021-09-25 06:46:48.260806 : Epoch  5, Batch    343, Loss  0.870021, Average Loss  0.868989, Time  0.446716
2021-09-25 06:46:54.349055 : Epoch  5, Batch    344, Loss  0.876098, Average Loss  0.869003, Time  0.445874
2021-09-25 06:47:00.429500 : Epoch  5, Batch    345, Loss  0.861365, Average Loss  0.868997, Time  0.447927
2021-09-25 06:47:06.501941 : Epoch  5, Batch    346, Loss  0.865014, Average Loss  0.869047, Time  0.445034
2021-09-25 06:47:12.567853 : Epoch  5, Batch    347, Loss  0.866180, Average Loss  0.869000, Time  0.457950
2021-09-25 06:47:18.652866 : Epoch  5, Batch    348, Loss  0.858773, Average Loss  0.868904, Time  0.446647
2021-09-25 06:47:24.721502 : Epoch  5, Batch    349, Loss  0.890459, Average Loss  0.868968, Time  0.445489
2021-09-25 06:47:30.796431 : Epoch  5, Batch    350, Loss  0.877916, Average Loss  0.869075, Time  0.445600
2021-09-25 06:47:36.874226 : Epoch  5, Batch    351, Loss  0.864862, Average Loss  0.869140, Time  0.445395
2021-09-25 06:47:42.943801 : Epoch  5, Batch    352, Loss  0.870593, Average Loss  0.869146, Time  0.445377
2021-09-25 06:47:49.016534 : Epoch  5, Batch    353, Loss  0.890246, Average Loss  0.869256, Time  0.445344
2021-09-25 06:47:55.095517 : Epoch  5, Batch    354, Loss  0.860149, Average Loss  0.869238, Time  0.454832
2021-09-25 06:48:01.183555 : Epoch  5, Batch    355, Loss  0.871171, Average Loss  0.869276, Time  0.446464
2021-09-25 06:48:07.278863 : Epoch  5, Batch    356, Loss  0.871552, Average Loss  0.869302, Time  0.448710
2021-09-25 06:48:13.105640 : CheckPoint: Validation Loss  0.00015096, Best Loss  0.00014852
2021-09-25 06:48:13.371244 : Epoch  5, Batch    357, Loss  0.874345, Average Loss  0.869216, Time  0.452586
2021-09-25 06:48:19.158401 : Epoch  4, Batch    917, Loss  0.875285, Average Loss  0.870892, Time  0.446680
2021-09-25 06:48:19.436672 : Epoch  5, Batch    358, Loss  0.869294, Average Loss  0.869210, Time  0.447596
2021-09-25 06:48:25.205549 : Epoch  4, Batch    918, Loss  0.879402, Average Loss  0.870897, Time  0.447581
2021-09-25 06:48:25.524329 : Epoch  5, Batch    359, Loss  0.871364, Average Loss  0.869336, Time  0.453380
2021-09-25 06:48:31.250836 : Epoch  4, Batch    919, Loss  0.865292, Average Loss  0.870887, Time  0.447200
2021-09-25 06:48:31.591205 : Epoch  5, Batch    360, Loss  0.880314, Average Loss  0.869405, Time  0.447025
2021-09-25 06:48:37.309380 : Epoch  4, Batch    920, Loss  0.858146, Average Loss  0.870839, Time  0.459303
2021-09-25 06:48:37.671285 : Epoch  5, Batch    361, Loss  0.872387, Average Loss  0.869446, Time  0.447117
2021-09-25 06:48:43.340031 : Epoch  4, Batch    921, Loss  0.865718, Average Loss  0.870861, Time  0.445566
2021-09-25 06:48:43.752609 : Epoch  5, Batch    362, Loss  0.871037, Average Loss  0.869457, Time  0.460744
2021-09-25 06:48:49.398650 : Epoch  4, Batch    922, Loss  0.872915, Average Loss  0.870839, Time  0.446175
2021-09-25 06:48:49.818823 : Epoch  5, Batch    363, Loss  0.860679, Average Loss  0.869305, Time  0.445455
2021-09-25 06:48:55.446004 : Epoch  4, Batch    923, Loss  0.871988, Average Loss  0.870814, Time  0.448282
2021-09-25 06:48:55.891439 : Epoch  5, Batch    364, Loss  0.880062, Average Loss  0.869444, Time  0.445437
2021-09-25 06:49:01.499865 : Epoch  4, Batch    924, Loss  0.873765, Average Loss  0.870810, Time  0.450859
2021-09-25 06:49:01.966499 : Epoch  5, Batch    365, Loss  0.867666, Average Loss  0.869407, Time  0.445697
2021-09-25 06:49:07.583428 : Epoch  4, Batch    925, Loss  0.879420, Average Loss  0.870865, Time  0.449432
2021-09-25 06:49:08.053446 : Epoch  5, Batch    366, Loss  0.872324, Average Loss  0.869447, Time  0.448735
2021-09-25 06:49:13.657438 : Epoch  4, Batch    926, Loss  0.880080, Average Loss  0.871017, Time  0.448565
2021-09-25 06:49:14.151132 : Epoch  5, Batch    367, Loss  0.882750, Average Loss  0.869452, Time  0.445361
2021-09-25 06:49:19.733159 : Epoch  4, Batch    927, Loss  0.861978, Average Loss  0.870971, Time  0.450293
2021-09-25 06:49:20.244991 : Epoch  5, Batch    368, Loss  0.875301, Average Loss  0.869527, Time  0.447240
2021-09-25 06:49:25.813953 : Epoch  4, Batch    928, Loss  0.866427, Average Loss  0.870941, Time  0.457319
2021-09-25 06:49:25.861553 : Saving Model after 4-th Epoch.
2021-09-25 06:49:26.349391 : Epoch  5, Batch    369, Loss  0.876713, Average Loss  0.869584, Time  0.459246
2021-09-25 06:49:26.713721 : Epoch Finished.
2021-09-25 06:49:32.749543 : Epoch  5, Batch    370, Loss  0.880952, Average Loss  0.869678, Time  0.446492
2021-09-25 06:49:35.075546 : Batch Shuffled
2021-09-25 06:49:38.831936 : Epoch  5, Batch    371, Loss  0.881611, Average Loss  0.869647, Time  0.444782
2021-09-25 06:49:41.111161 : Epoch  5, Batch      1, Loss  0.865893, Average Loss  0.870918, Time  0.446912
2021-09-25 06:49:44.917372 : Epoch  5, Batch    372, Loss  0.852089, Average Loss  0.869531, Time  0.448389
2021-09-25 06:49:47.144822 : Epoch  5, Batch      2, Loss  0.875750, Average Loss  0.870898, Time  0.446939
2021-09-25 06:49:50.986875 : Epoch  5, Batch    373, Loss  0.868700, Average Loss  0.869529, Time  0.445653
2021-09-25 06:49:53.181821 : Epoch  5, Batch      3, Loss  0.879337, Average Loss  0.871012, Time  0.450353
2021-09-25 06:49:57.080265 : Epoch  5, Batch    374, Loss  0.868401, Average Loss  0.869463, Time  0.447306
2021-09-25 06:49:59.206200 : Epoch  5, Batch      4, Loss  0.873585, Average Loss  0.871005, Time  0.446690
2021-09-25 06:50:03.156558 : Epoch  5, Batch    375, Loss  0.864144, Average Loss  0.869503, Time  0.446771
2021-09-25 06:50:05.238801 : Epoch  5, Batch      5, Loss  0.893845, Average Loss  0.871150, Time  0.448402
2021-09-25 06:50:09.229153 : Epoch  5, Batch    376, Loss  0.877097, Average Loss  0.869526, Time  0.449879
2021-09-25 06:50:11.329251 : Epoch  5, Batch      6, Loss  0.879335, Average Loss  0.871200, Time  0.462946
2021-09-25 06:50:15.301783 : Epoch  5, Batch    377, Loss  0.889851, Average Loss  0.869636, Time  0.456414
2021-09-25 06:50:17.385626 : Epoch  5, Batch      7, Loss  0.877292, Average Loss  0.871259, Time  0.447551
2021-09-25 06:50:21.384144 : Epoch  5, Batch    378, Loss  0.878860, Average Loss  0.869679, Time  0.447823
2021-09-25 06:50:23.414724 : Epoch  5, Batch      8, Loss  0.871974, Average Loss  0.871220, Time  0.446168
2021-09-25 06:50:27.474246 : Epoch  5, Batch    379, Loss  0.875956, Average Loss  0.869746, Time  0.449436
2021-09-25 06:50:29.471907 : Epoch  5, Batch      9, Loss  0.869852, Average Loss  0.871181, Time  0.446095
2021-09-25 06:50:33.561920 : Epoch  5, Batch    380, Loss  0.867361, Average Loss  0.869694, Time  0.445788
2021-09-25 06:50:35.518204 : Epoch  5, Batch     10, Loss  0.836949, Average Loss  0.871039, Time  0.446872
2021-09-25 06:50:39.606803 : Epoch  5, Batch    381, Loss  0.872526, Average Loss  0.869728, Time  0.444350
2021-09-25 06:50:41.547717 : Epoch  5, Batch     11, Loss  0.876914, Average Loss  0.871080, Time  0.452739
2021-09-25 06:50:45.681346 : Epoch  5, Batch    382, Loss  0.886751, Average Loss  0.869753, Time  0.445512
2021-09-25 06:50:47.589968 : Epoch  5, Batch     12, Loss  0.871623, Average Loss  0.870978, Time  0.445771
2021-09-25 06:50:51.749543 : Epoch  5, Batch    383, Loss  0.862909, Average Loss  0.869781, Time  0.446299
2021-09-25 06:50:53.662241 : Epoch  5, Batch     13, Loss  0.878077, Average Loss  0.870996, Time  0.462811
2021-09-25 06:50:57.823706 : Epoch  5, Batch    384, Loss  0.872996, Average Loss  0.869792, Time  0.459689
2021-09-25 06:50:59.689758 : Epoch  5, Batch     14, Loss  0.864654, Average Loss  0.871068, Time  0.448809
2021-09-25 06:51:03.897802 : Epoch  5, Batch    385, Loss  0.859335, Average Loss  0.869759, Time  0.448312
2021-09-25 06:51:05.714470 : Epoch  5, Batch     15, Loss  0.866423, Average Loss  0.871094, Time  0.444929
2021-09-25 06:51:09.972391 : Epoch  5, Batch    386, Loss  0.854100, Average Loss  0.869735, Time  0.444833
2021-09-25 06:51:11.737158 : Epoch  5, Batch     16, Loss  0.869124, Average Loss  0.871053, Time  0.448224
2021-09-25 06:51:16.039258 : Epoch  5, Batch    387, Loss  0.873738, Average Loss  0.869736, Time  0.445137
2021-09-25 06:51:17.771975 : Epoch  5, Batch     17, Loss  0.866001, Average Loss  0.871017, Time  0.448713
2021-09-25 06:51:22.120243 : Epoch  5, Batch    388, Loss  0.862659, Average Loss  0.869738, Time  0.445938
2021-09-25 06:51:23.806738 : Epoch  5, Batch     18, Loss  0.874718, Average Loss  0.871076, Time  0.447610
2021-09-25 06:51:29.865162 : Epoch  5, Batch     19, Loss  0.856474, Average Loss  0.871070, Time  0.455138
2021-09-25 06:51:35.883337 : Epoch  5, Batch     20, Loss  0.870222, Average Loss  0.871087, Time  0.445506
2021-09-25 06:51:41.920611 : Epoch  5, Batch     21, Loss  0.867567, Average Loss  0.870985, Time  0.461188
2021-09-25 06:51:47.943190 : Epoch  5, Batch     22, Loss  0.866465, Average Loss  0.871005, Time  0.445914
2021-09-25 06:51:54.000443 : Epoch  5, Batch     23, Loss  0.874043, Average Loss  0.870966, Time  0.447726
2021-09-25 06:52:00.017032 : Epoch  5, Batch     24, Loss  0.872417, Average Loss  0.870938, Time  0.446399
2021-09-25 06:52:06.049992 : Epoch  5, Batch     25, Loss  0.869167, Average Loss  0.870866, Time  0.445281
2021-09-25 06:52:12.091352 : Epoch  5, Batch     26, Loss  0.882723, Average Loss  0.870946, Time  0.446464
2021-09-25 06:52:18.147417 : Epoch  5, Batch     27, Loss  0.870730, Average Loss  0.870960, Time  0.453080
2021-09-25 06:52:24.218617 : Epoch  5, Batch     28, Loss  0.860040, Average Loss  0.870820, Time  0.464190
2021-09-25 06:52:30.277957 : Epoch  5, Batch     29, Loss  0.865542, Average Loss  0.870827, Time  0.449354
2021-09-25 06:52:36.341460 : Epoch  5, Batch     30, Loss  0.880020, Average Loss  0.870842, Time  0.447196
2021-09-25 06:52:42.381878 : Epoch  5, Batch     31, Loss  0.863756, Average Loss  0.870817, Time  0.445668
2021-09-25 06:52:48.426412 : Epoch  5, Batch     32, Loss  0.867059, Average Loss  0.870748, Time  0.448854
2021-09-25 06:52:54.457506 : Epoch  5, Batch     33, Loss  0.875526, Average Loss  0.870791, Time  0.448484
2021-09-25 06:53:00.494937 : Epoch  5, Batch     34, Loss  0.882605, Average Loss  0.870867, Time  0.445570
2021-09-25 06:53:06.550408 : Epoch  5, Batch     35, Loss  0.878093, Average Loss  0.870921, Time  0.446660
2021-09-25 06:53:12.563538 : Epoch  5, Batch     36, Loss  0.889291, Average Loss  0.870907, Time  0.458315
2021-09-25 06:53:18.588277 : Epoch  5, Batch     37, Loss  0.883487, Average Loss  0.871002, Time  0.448674
2021-09-25 06:53:24.639491 : Epoch  5, Batch     38, Loss  0.863108, Average Loss  0.870938, Time  0.447279
2021-09-25 06:53:30.667415 : Epoch  5, Batch     39, Loss  0.852725, Average Loss  0.870833, Time  0.448337
2021-09-25 06:53:36.682795 : Epoch  5, Batch     40, Loss  0.872132, Average Loss  0.870842, Time  0.447130
2021-09-25 06:53:42.721074 : Epoch  5, Batch     41, Loss  0.867702, Average Loss  0.870803, Time  0.446683
2021-09-25 06:53:48.769886 : Epoch  5, Batch     42, Loss  0.870350, Average Loss  0.870761, Time  0.446723
2021-09-25 06:53:54.842214 : Epoch  5, Batch     43, Loss  0.853820, Average Loss  0.870618, Time  0.454017
2021-09-25 06:54:00.921866 : Epoch  5, Batch     44, Loss  0.871002, Average Loss  0.870619, Time  0.454195
2021-09-25 06:54:06.968637 : Epoch  5, Batch     45, Loss  0.883793, Average Loss  0.870674, Time  0.446041
2021-09-25 06:54:13.019705 : Epoch  5, Batch     46, Loss  0.875827, Average Loss  0.870641, Time  0.446696
2021-09-25 06:54:19.063828 : Epoch  5, Batch     47, Loss  0.863751, Average Loss  0.870588, Time  0.449342
2021-09-25 06:54:25.113870 : Epoch  5, Batch     48, Loss  0.872247, Average Loss  0.870525, Time  0.447446
2021-09-25 06:54:31.156389 : Epoch  5, Batch     49, Loss  0.877751, Average Loss  0.870640, Time  0.448611
2021-09-25 06:54:37.196333 : Epoch  5, Batch     50, Loss  0.868323, Average Loss  0.870619, Time  0.448017
2021-09-25 06:54:43.253720 : Epoch  5, Batch     51, Loss  0.881265, Average Loss  0.870713, Time  0.461598
2021-09-25 06:54:49.290866 : Epoch  5, Batch     52, Loss  0.881523, Average Loss  0.870772, Time  0.446371
2021-09-25 06:54:55.336381 : Epoch  5, Batch     53, Loss  0.875077, Average Loss  0.870843, Time  0.446489
2021-09-25 06:55:01.380406 : Epoch  5, Batch     54, Loss  0.874897, Average Loss  0.870866, Time  0.447322
2021-09-25 06:55:07.401821 : Epoch  5, Batch     55, Loss  0.878683, Average Loss  0.870941, Time  0.447127
2021-09-25 06:55:13.459340 : Epoch  5, Batch     56, Loss  0.864697, Average Loss  0.870935, Time  0.447944
2021-09-25 06:55:19.505767 : Epoch  5, Batch     57, Loss  0.874582, Average Loss  0.870907, Time  0.445212
2021-09-25 06:55:25.528942 : Epoch  5, Batch     58, Loss  0.873119, Average Loss  0.870853, Time  0.445685
2021-09-25 06:55:31.572878 : Epoch  5, Batch     59, Loss  0.874761, Average Loss  0.870803, Time  0.458939
2021-09-25 06:55:37.612580 : Epoch  5, Batch     60, Loss  0.856741, Average Loss  0.870694, Time  0.446543
2021-09-25 06:55:43.648169 : Epoch  5, Batch     61, Loss  0.870628, Average Loss  0.870631, Time  0.447259
2021-09-25 06:55:49.684085 : Epoch  5, Batch     62, Loss  0.879588, Average Loss  0.870643, Time  0.447904
2021-09-25 06:55:55.724998 : Epoch  5, Batch     63, Loss  0.865724, Average Loss  0.870577, Time  0.446873
2021-09-25 06:56:01.751736 : Epoch  5, Batch     64, Loss  0.861462, Average Loss  0.870528, Time  0.446725
2021-09-25 06:56:07.803481 : Epoch  5, Batch     65, Loss  0.870546, Average Loss  0.870532, Time  0.445862
2021-09-25 06:56:08.610818 : CheckPoint: Validation Loss  0.00015089, Best Loss  0.00014804
2021-09-25 06:56:13.859338 : Epoch  5, Batch     66, Loss  0.881237, Average Loss  0.870639, Time  0.447591
2021-09-25 06:56:14.717798 : Epoch  5, Batch    389, Loss  0.872981, Average Loss  0.869793, Time  0.447229
2021-09-25 06:56:19.912928 : Epoch  5, Batch     67, Loss  0.868320, Average Loss  0.870658, Time  0.457982
2021-09-25 06:56:20.904752 : Epoch  5, Batch    390, Loss  0.882917, Average Loss  0.869855, Time  0.461529
2021-09-25 06:56:25.948204 : Epoch  5, Batch     68, Loss  0.858263, Average Loss  0.870684, Time  0.445545
2021-09-25 06:56:27.008627 : Epoch  5, Batch    391, Loss  0.861678, Average Loss  0.869824, Time  0.445834
2021-09-25 06:56:32.008932 : Epoch  5, Batch     69, Loss  0.869097, Average Loss  0.870760, Time  0.446843
2021-09-25 06:56:33.124031 : Epoch  5, Batch    392, Loss  0.879136, Average Loss  0.869861, Time  0.444636
2021-09-25 06:56:38.038898 : Epoch  5, Batch     70, Loss  0.879284, Average Loss  0.870862, Time  0.447218
2021-09-25 06:56:39.238745 : Epoch  5, Batch    393, Loss  0.888376, Average Loss  0.870030, Time  0.446320
2021-09-25 06:56:44.052657 : Epoch  5, Batch     71, Loss  0.875371, Average Loss  0.870867, Time  0.447257
2021-09-25 06:56:45.361873 : Epoch  5, Batch    394, Loss  0.855517, Average Loss  0.870017, Time  0.445983
2021-09-25 06:56:50.090896 : Epoch  5, Batch     72, Loss  0.870775, Average Loss  0.870871, Time  0.446054
2021-09-25 06:56:51.506789 : Epoch  5, Batch    395, Loss  0.865384, Average Loss  0.869946, Time  0.445104
2021-09-25 06:56:56.127894 : Epoch  5, Batch     73, Loss  0.886121, Average Loss  0.870954, Time  0.447440
2021-09-25 06:56:57.634617 : Epoch  5, Batch    396, Loss  0.857231, Average Loss  0.869864, Time  0.446386
2021-09-25 06:57:02.159274 : Epoch  5, Batch     74, Loss  0.869984, Average Loss  0.870962, Time  0.459995
2021-09-25 06:57:03.744559 : Epoch  5, Batch    397, Loss  0.871059, Average Loss  0.869839, Time  0.455707
2021-09-25 06:57:08.224819 : Epoch  5, Batch     75, Loss  0.865672, Average Loss  0.870879, Time  0.448149
2021-09-25 06:57:09.866198 : Epoch  5, Batch    398, Loss  0.866444, Average Loss  0.869802, Time  0.446790
2021-09-25 06:57:14.269806 : Epoch  5, Batch     76, Loss  0.873484, Average Loss  0.870918, Time  0.446604
2021-09-25 06:57:15.993168 : Epoch  5, Batch    399, Loss  0.867704, Average Loss  0.869724, Time  0.445373
2021-09-25 06:57:20.327730 : Epoch  5, Batch     77, Loss  0.872867, Average Loss  0.870945, Time  0.447393
2021-09-25 06:57:22.114032 : Epoch  5, Batch    400, Loss  0.864836, Average Loss  0.869823, Time  0.446199
2021-09-25 06:57:26.363948 : Epoch  5, Batch     78, Loss  0.864992, Average Loss  0.870956, Time  0.447105
2021-09-25 06:57:28.224773 : Epoch  5, Batch    401, Loss  0.873108, Average Loss  0.869844, Time  0.445339
2021-09-25 06:57:32.390994 : Epoch  5, Batch     79, Loss  0.861721, Average Loss  0.870998, Time  0.445592
2021-09-25 06:57:34.356912 : Epoch  5, Batch    402, Loss  0.882628, Average Loss  0.869900, Time  0.445105
2021-09-25 06:57:38.414083 : Epoch  5, Batch     80, Loss  0.859874, Average Loss  0.870919, Time  0.445631
2021-09-25 06:57:40.489256 : Epoch  5, Batch    403, Loss  0.867313, Average Loss  0.869928, Time  0.449340
2021-09-25 06:57:44.422801 : Epoch  5, Batch     81, Loss  0.855284, Average Loss  0.870844, Time  0.447217
2021-09-25 06:57:46.612867 : Epoch  5, Batch    404, Loss  0.876777, Average Loss  0.870041, Time  0.446077
2021-09-25 06:57:50.475015 : Epoch  5, Batch     82, Loss  0.868366, Average Loss  0.870866, Time  0.459798
2021-09-25 06:57:52.760858 : Epoch  5, Batch    405, Loss  0.868649, Average Loss  0.870059, Time  0.463317
2021-09-25 06:57:56.497519 : Epoch  5, Batch     83, Loss  0.874716, Average Loss  0.870834, Time  0.446821
2021-09-25 06:57:58.865227 : Epoch  5, Batch    406, Loss  0.881921, Average Loss  0.870167, Time  0.444792
2021-09-25 06:58:02.534895 : Epoch  5, Batch     84, Loss  0.876276, Average Loss  0.870856, Time  0.445955
2021-09-25 06:58:05.019696 : Epoch  5, Batch    407, Loss  0.859165, Average Loss  0.870148, Time  0.445477
2021-09-25 06:58:08.593510 : Epoch  5, Batch     85, Loss  0.873280, Average Loss  0.870809, Time  0.445163
2021-09-25 06:58:11.133518 : Epoch  5, Batch    408, Loss  0.865497, Average Loss  0.870085, Time  0.446803
2021-09-25 06:58:14.633823 : Epoch  5, Batch     86, Loss  0.879363, Average Loss  0.870756, Time  0.445728
2021-09-25 06:58:17.255617 : Epoch  5, Batch    409, Loss  0.877394, Average Loss  0.870122, Time  0.445401
2021-09-25 06:58:20.662034 : Epoch  5, Batch     87, Loss  0.858527, Average Loss  0.870671, Time  0.445683
2021-09-25 06:58:23.389880 : Epoch  5, Batch    410, Loss  0.870938, Average Loss  0.870079, Time  0.445805
2021-09-25 06:58:26.713715 : Epoch  5, Batch     88, Loss  0.862074, Average Loss  0.870682, Time  0.445574
2021-09-25 06:58:29.507592 : Epoch  5, Batch    411, Loss  0.884301, Average Loss  0.870113, Time  0.448251
2021-09-25 06:58:35.662992 : Epoch  5, Batch    412, Loss  0.859299, Average Loss  0.870071, Time  0.454157
2021-09-25 06:58:41.790553 : Epoch  5, Batch    413, Loss  0.869039, Average Loss  0.870018, Time  0.449561
2021-09-25 06:58:47.927875 : Epoch  5, Batch    414, Loss  0.875161, Average Loss  0.870083, Time  0.447510
2021-09-25 06:58:54.059122 : Epoch  5, Batch    415, Loss  0.893470, Average Loss  0.870200, Time  0.445680
2021-09-25 06:59:00.196104 : Epoch  5, Batch    416, Loss  0.867846, Average Loss  0.870113, Time  0.446012
2021-09-25 06:59:06.303110 : Epoch  5, Batch    417, Loss  0.873484, Average Loss  0.870181, Time  0.444792
2021-09-25 06:59:12.416501 : Epoch  5, Batch    418, Loss  0.867663, Average Loss  0.870073, Time  0.445593
2021-09-25 06:59:18.556108 : Epoch  5, Batch    419, Loss  0.861776, Average Loss  0.870032, Time  0.445091
2021-09-25 06:59:24.691827 : Epoch  5, Batch    420, Loss  0.871279, Average Loss  0.870038, Time  0.459815
2021-09-25 06:59:30.828070 : Epoch  5, Batch    421, Loss  0.882014, Average Loss  0.870036, Time  0.445958
2021-09-25 06:59:36.980000 : Epoch  5, Batch    422, Loss  0.876663, Average Loss  0.870157, Time  0.447091
2021-09-25 06:59:43.101062 : Epoch  5, Batch    423, Loss  0.868698, Average Loss  0.870140, Time  0.445960
2021-09-25 06:59:49.223798 : Epoch  5, Batch    424, Loss  0.870843, Average Loss  0.870126, Time  0.445293
2021-09-25 06:59:55.336601 : Epoch  5, Batch    425, Loss  0.872878, Average Loss  0.870154, Time  0.445286
2021-09-25 07:00:01.466956 : Epoch  5, Batch    426, Loss  0.883998, Average Loss  0.870286, Time  0.446167
2021-09-25 07:00:07.576058 : Epoch  5, Batch    427, Loss  0.870895, Average Loss  0.870293, Time  0.453780
2021-09-25 07:00:13.678578 : Epoch  5, Batch    428, Loss  0.879377, Average Loss  0.870276, Time  0.445397
2021-09-25 07:00:19.812815 : Epoch  5, Batch    429, Loss  0.875337, Average Loss  0.870285, Time  0.445065
2021-09-25 07:00:25.953562 : Epoch  5, Batch    430, Loss  0.864609, Average Loss  0.870269, Time  0.446603
2021-09-25 07:00:32.092248 : Epoch  5, Batch    431, Loss  0.867065, Average Loss  0.870178, Time  0.462790
2021-09-25 07:00:38.213494 : Epoch  5, Batch    432, Loss  0.862025, Average Loss  0.870187, Time  0.446660
2021-09-25 07:00:44.332793 : Epoch  5, Batch    433, Loss  0.871166, Average Loss  0.870124, Time  0.446982
2021-09-25 07:00:50.460716 : Epoch  5, Batch    434, Loss  0.854910, Average Loss  0.870036, Time  0.447774
2021-09-25 07:00:56.587673 : Epoch  5, Batch    435, Loss  0.853444, Average Loss  0.869978, Time  0.460744
2021-09-25 07:01:02.692246 : Epoch  5, Batch    436, Loss  0.877138, Average Loss  0.870037, Time  0.447067
2021-09-25 07:01:08.802361 : Epoch  5, Batch    437, Loss  0.865544, Average Loss  0.869975, Time  0.444746
2021-09-25 07:01:14.939815 : Epoch  5, Batch    438, Loss  0.876806, Average Loss  0.870040, Time  0.445604
2021-09-25 07:01:21.076470 : Epoch  5, Batch    439, Loss  0.880843, Average Loss  0.870092, Time  0.445149
2021-09-25 07:01:27.192694 : Epoch  5, Batch    440, Loss  0.856420, Average Loss  0.870022, Time  0.444679
2021-09-25 07:01:33.311484 : Epoch  5, Batch    441, Loss  0.862949, Average Loss  0.869956, Time  0.447450
2021-09-25 07:01:39.484806 : Epoch  5, Batch    442, Loss  0.864134, Average Loss  0.869915, Time  0.454570
2021-09-25 07:01:45.605937 : Epoch  5, Batch    443, Loss  0.867223, Average Loss  0.869854, Time  0.445595
2021-09-25 07:01:51.728786 : Epoch  5, Batch    444, Loss  0.861838, Average Loss  0.869782, Time  0.448196
2021-09-25 07:01:57.847104 : Epoch  5, Batch    445, Loss  0.868608, Average Loss  0.869795, Time  0.449261
2021-09-25 07:02:03.968825 : Epoch  5, Batch    446, Loss  0.874523, Average Loss  0.869756, Time  0.447478
2021-09-25 07:02:10.094799 : Epoch  5, Batch    447, Loss  0.878776, Average Loss  0.869884, Time  0.449169
2021-09-25 07:02:16.233371 : Epoch  5, Batch    448, Loss  0.877727, Average Loss  0.869974, Time  0.446564
2021-09-25 07:02:22.360301 : Epoch  5, Batch    449, Loss  0.864603, Average Loss  0.869954, Time  0.445847
2021-09-25 07:02:28.500827 : Epoch  5, Batch    450, Loss  0.878384, Average Loss  0.869989, Time  0.466360
2021-09-25 07:02:34.640502 : Epoch  5, Batch    451, Loss  0.869758, Average Loss  0.870000, Time  0.449555
2021-09-25 07:02:40.761352 : Epoch  5, Batch    452, Loss  0.862103, Average Loss  0.869975, Time  0.447093
2021-09-25 07:02:46.928770 : Epoch  5, Batch    453, Loss  0.864245, Average Loss  0.870031, Time  0.450789
2021-09-25 07:02:53.066804 : Epoch  5, Batch    454, Loss  0.861123, Average Loss  0.869991, Time  0.445414
2021-09-25 07:02:59.211465 : Epoch  5, Batch    455, Loss  0.867577, Average Loss  0.869988, Time  0.446531
2021-09-25 07:03:05.361639 : Epoch  5, Batch    456, Loss  0.864691, Average Loss  0.869961, Time  0.446934
2021-09-25 07:03:11.517316 : Epoch  5, Batch    457, Loss  0.868384, Average Loss  0.869993, Time  0.457202
2021-09-25 07:03:15.222316 : CheckPoint: Validation Loss  0.00015104, Best Loss  0.00014852
2021-09-25 07:03:17.643525 : Epoch  5, Batch    458, Loss  0.871478, Average Loss  0.870003, Time  0.445766
2021-09-25 07:03:21.287298 : Epoch  5, Batch     89, Loss  0.863135, Average Loss  0.870717, Time  0.449868
2021-09-25 07:03:23.852442 : Epoch  5, Batch    459, Loss  0.860437, Average Loss  0.869969, Time  0.445153
2021-09-25 07:03:27.332318 : Epoch  5, Batch     90, Loss  0.865931, Average Loss  0.870721, Time  0.448881
2021-09-25 07:03:29.991197 : Epoch  5, Batch    460, Loss  0.869820, Average Loss  0.869946, Time  0.445239
2021-09-25 07:03:33.382370 : Epoch  5, Batch     91, Loss  0.891863, Average Loss  0.870840, Time  0.446335
2021-09-25 07:03:36.103189 : Epoch  5, Batch    461, Loss  0.873593, Average Loss  0.869943, Time  0.446014
2021-09-25 07:03:39.428867 : Epoch  5, Batch     92, Loss  0.873479, Average Loss  0.870916, Time  0.446179
2021-09-25 07:03:42.231536 : Epoch  5, Batch    462, Loss  0.876293, Average Loss  0.869969, Time  0.447809
2021-09-25 07:03:45.493620 : Epoch  5, Batch     93, Loss  0.877562, Average Loss  0.870884, Time  0.448539
2021-09-25 07:03:48.364825 : Epoch  5, Batch    463, Loss  0.874494, Average Loss  0.870007, Time  0.445471
2021-09-25 07:03:51.573563 : Epoch  5, Batch     94, Loss  0.861511, Average Loss  0.870843, Time  0.446707
2021-09-25 07:03:54.490851 : Epoch  5, Batch    464, Loss  0.867497, Average Loss  0.869937, Time  0.445101
2021-09-25 07:03:57.651608 : Epoch  5, Batch     95, Loss  0.858551, Average Loss  0.870844, Time  0.460778
2021-09-25 07:04:00.632631 : Epoch  5, Batch    465, Loss  0.874233, Average Loss  0.869950, Time  0.458497
2021-09-25 07:04:03.732203 : Epoch  5, Batch     96, Loss  0.872025, Average Loss  0.870931, Time  0.458480
2021-09-25 07:04:06.741347 : Epoch  5, Batch    466, Loss  0.872029, Average Loss  0.870023, Time  0.446669
2021-09-25 07:04:09.820539 : Epoch  5, Batch     97, Loss  0.881498, Average Loss  0.870922, Time  0.451231
2021-09-25 07:04:12.867960 : Epoch  5, Batch    467, Loss  0.863758, Average Loss  0.870055, Time  0.444891
2021-09-25 07:04:15.891341 : Epoch  5, Batch     98, Loss  0.873385, Average Loss  0.870984, Time  0.447553
2021-09-25 07:04:19.019194 : Epoch  5, Batch    468, Loss  0.867332, Average Loss  0.870081, Time  0.458524
2021-09-25 07:04:21.945946 : Epoch  5, Batch     99, Loss  0.876410, Average Loss  0.871069, Time  0.448743
2021-09-25 07:04:25.123836 : Epoch  5, Batch    469, Loss  0.856870, Average Loss  0.870065, Time  0.445064
2021-09-25 07:04:27.996010 : Epoch  5, Batch    100, Loss  0.875754, Average Loss  0.871112, Time  0.447306
2021-09-25 07:04:31.230331 : Epoch  5, Batch    470, Loss  0.892083, Average Loss  0.870215, Time  0.444804
2021-09-25 07:04:34.042447 : Epoch  5, Batch    101, Loss  0.853088, Average Loss  0.871028, Time  0.445982
2021-09-25 07:04:37.344364 : Epoch  5, Batch    471, Loss  0.875256, Average Loss  0.870266, Time  0.445963
2021-09-25 07:04:40.117025 : Epoch  5, Batch    102, Loss  0.872450, Average Loss  0.871007, Time  0.456472
2021-09-25 07:04:43.488254 : Epoch  5, Batch    472, Loss  0.866285, Average Loss  0.870221, Time  0.453457
2021-09-25 07:04:46.168286 : Epoch  5, Batch    103, Loss  0.881308, Average Loss  0.871113, Time  0.445639
2021-09-25 07:04:49.612860 : Epoch  5, Batch    473, Loss  0.876799, Average Loss  0.870274, Time  0.445362
2021-09-25 07:04:52.232639 : Epoch  5, Batch    104, Loss  0.858658, Average Loss  0.871045, Time  0.450040
2021-09-25 07:04:55.725897 : Epoch  5, Batch    474, Loss  0.875351, Average Loss  0.870306, Time  0.445587
2021-09-25 07:04:58.297972 : Epoch  5, Batch    105, Loss  0.879034, Average Loss  0.871125, Time  0.446234
2021-09-25 07:05:01.857607 : Epoch  5, Batch    475, Loss  0.884525, Average Loss  0.870316, Time  0.445212
2021-09-25 07:05:04.361543 : Epoch  5, Batch    106, Loss  0.890932, Average Loss  0.871158, Time  0.449047
2021-09-25 07:05:07.952934 : Epoch  5, Batch    476, Loss  0.883548, Average Loss  0.870421, Time  0.445616
2021-09-25 07:05:10.394775 : Epoch  5, Batch    107, Loss  0.863822, Average Loss  0.871202, Time  0.446016
2021-09-25 07:05:14.056769 : Epoch  5, Batch    477, Loss  0.859016, Average Loss  0.870416, Time  0.446280
2021-09-25 07:05:16.445967 : Epoch  5, Batch    108, Loss  0.870154, Average Loss  0.871312, Time  0.446751
2021-09-25 07:05:20.169377 : Epoch  5, Batch    478, Loss  0.865307, Average Loss  0.870384, Time  0.450597
2021-09-25 07:05:22.502698 : Epoch  5, Batch    109, Loss  0.888364, Average Loss  0.871336, Time  0.451980
2021-09-25 07:05:26.284768 : Epoch  5, Batch    479, Loss  0.881693, Average Loss  0.870467, Time  0.448534
2021-09-25 07:05:28.549937 : Epoch  5, Batch    110, Loss  0.872648, Average Loss  0.871353, Time  0.459372
2021-09-25 07:05:32.418228 : Epoch  5, Batch    480, Loss  0.875800, Average Loss  0.870524, Time  0.459511
2021-09-25 07:05:34.609992 : Epoch  5, Batch    111, Loss  0.879879, Average Loss  0.871507, Time  0.445335
2021-09-25 07:05:38.539124 : Epoch  5, Batch    481, Loss  0.878880, Average Loss  0.870541, Time  0.450251
2021-09-25 07:05:40.636845 : Epoch  5, Batch    112, Loss  0.877500, Average Loss  0.871495, Time  0.445410
2021-09-25 07:05:44.635428 : Epoch  5, Batch    482, Loss  0.866334, Average Loss  0.870552, Time  0.448182
2021-09-25 07:05:46.686460 : Epoch  5, Batch    113, Loss  0.873580, Average Loss  0.871483, Time  0.449076
2021-09-25 07:05:50.759917 : Epoch  5, Batch    483, Loss  0.864868, Average Loss  0.870576, Time  0.448824
2021-09-25 07:05:52.731387 : Epoch  5, Batch    114, Loss  0.870718, Average Loss  0.871462, Time  0.445924
2021-09-25 07:05:56.884791 : Epoch  5, Batch    484, Loss  0.865880, Average Loss  0.870551, Time  0.448201
2021-09-25 07:05:58.795369 : Epoch  5, Batch    115, Loss  0.880143, Average Loss  0.871501, Time  0.451203
2021-09-25 07:06:03.001714 : Epoch  5, Batch    485, Loss  0.870512, Average Loss  0.870481, Time  0.445991
2021-09-25 07:06:04.859280 : Epoch  5, Batch    116, Loss  0.875122, Average Loss  0.871540, Time  0.449274
2021-09-25 07:06:09.109174 : Epoch  5, Batch    486, Loss  0.879439, Average Loss  0.870506, Time  0.445466
2021-09-25 07:06:10.946495 : Epoch  5, Batch    117, Loss  0.868398, Average Loss  0.871620, Time  0.466730
2021-09-25 07:06:15.219520 : Epoch  5, Batch    487, Loss  0.870249, Average Loss  0.870489, Time  0.457583
2021-09-25 07:06:16.997808 : Epoch  5, Batch    118, Loss  0.874888, Average Loss  0.871542, Time  0.445975
2021-09-25 07:06:21.356866 : Epoch  5, Batch    488, Loss  0.863726, Average Loss  0.870375, Time  0.450645
2021-09-25 07:06:23.045033 : Epoch  5, Batch    119, Loss  0.876608, Average Loss  0.871598, Time  0.447259
2021-09-25 07:06:29.121862 : Epoch  5, Batch    120, Loss  0.858595, Average Loss  0.871454, Time  0.449803
2021-09-25 07:06:35.143022 : Epoch  5, Batch    121, Loss  0.864030, Average Loss  0.871337, Time  0.448053
2021-09-25 07:06:41.180476 : Epoch  5, Batch    122, Loss  0.875951, Average Loss  0.871363, Time  0.447191
2021-09-25 07:06:47.222465 : Epoch  5, Batch    123, Loss  0.857521, Average Loss  0.871363, Time  0.449151
2021-09-25 07:06:53.263030 : Epoch  5, Batch    124, Loss  0.870829, Average Loss  0.871336, Time  0.448059
2021-09-25 07:06:59.305938 : Epoch  5, Batch    125, Loss  0.872515, Average Loss  0.871297, Time  0.462426
2021-09-25 07:07:05.334341 : Epoch  5, Batch    126, Loss  0.880417, Average Loss  0.871344, Time  0.448049
2021-09-25 07:07:11.363088 : Epoch  5, Batch    127, Loss  0.862415, Average Loss  0.871293, Time  0.447461
2021-09-25 07:07:17.388655 : Epoch  5, Batch    128, Loss  0.865299, Average Loss  0.871186, Time  0.446639
2021-09-25 07:07:23.423942 : Epoch  5, Batch    129, Loss  0.870266, Average Loss  0.871175, Time  0.448353
2021-09-25 07:07:29.476024 : Epoch  5, Batch    130, Loss  0.858311, Average Loss  0.871155, Time  0.449329
2021-09-25 07:07:35.522449 : Epoch  5, Batch    131, Loss  0.880979, Average Loss  0.871225, Time  0.445743
2021-09-25 07:07:41.621329 : Epoch  5, Batch    132, Loss  0.873430, Average Loss  0.871159, Time  0.459283
2021-09-25 07:07:47.670328 : Epoch  5, Batch    133, Loss  0.872935, Average Loss  0.871128, Time  0.445626
2021-09-25 07:07:53.707992 : Epoch  5, Batch    134, Loss  0.870063, Average Loss  0.871205, Time  0.447230
2021-09-25 07:07:59.774262 : Epoch  5, Batch    135, Loss  0.880915, Average Loss  0.871256, Time  0.448265
2021-09-25 07:08:05.781892 : Epoch  5, Batch    136, Loss  0.881378, Average Loss  0.871332, Time  0.446808
2021-09-25 07:08:11.810991 : Epoch  5, Batch    137, Loss  0.865763, Average Loss  0.871328, Time  0.445757
2021-09-25 07:08:17.857885 : Epoch  5, Batch    138, Loss  0.877779, Average Loss  0.871367, Time  0.445484
2021-09-25 07:08:23.885549 : Epoch  5, Batch    139, Loss  0.876185, Average Loss  0.871349, Time  0.453494
2021-09-25 07:08:29.936274 : Epoch  5, Batch    140, Loss  0.867962, Average Loss  0.871345, Time  0.455556
2021-09-25 07:08:35.984527 : Epoch  5, Batch    141, Loss  0.870911, Average Loss  0.871451, Time  0.447796
2021-09-25 07:08:41.999902 : Epoch  5, Batch    142, Loss  0.875409, Average Loss  0.871482, Time  0.446953
2021-09-25 07:08:48.021701 : Epoch  5, Batch    143, Loss  0.878749, Average Loss  0.871610, Time  0.448810
2021-09-25 07:08:54.029217 : Epoch  5, Batch    144, Loss  0.884365, Average Loss  0.871680, Time  0.444647
2021-09-25 07:09:00.062593 : Epoch  5, Batch    145, Loss  0.871861, Average Loss  0.871653, Time  0.445743
2021-09-25 07:09:06.097022 : Epoch  5, Batch    146, Loss  0.845767, Average Loss  0.871517, Time  0.446601
2021-09-25 07:09:12.132661 : Epoch  5, Batch    147, Loss  0.862795, Average Loss  0.871469, Time  0.460907
2021-09-25 07:09:18.165425 : Epoch  5, Batch    148, Loss  0.865636, Average Loss  0.871382, Time  0.446653
2021-09-25 07:09:24.212173 : Epoch  5, Batch    149, Loss  0.859694, Average Loss  0.871308, Time  0.445777
2021-09-25 07:09:30.249964 : Epoch  5, Batch    150, Loss  0.876810, Average Loss  0.871366, Time  0.445071
2021-09-25 07:09:36.298899 : Epoch  5, Batch    151, Loss  0.866311, Average Loss  0.871353, Time  0.447854
2021-09-25 07:09:42.362987 : Epoch  5, Batch    152, Loss  0.867522, Average Loss  0.871298, Time  0.449609
2021-09-25 07:09:48.396761 : Epoch  5, Batch    153, Loss  0.856007, Average Loss  0.871251, Time  0.449432
2021-09-25 07:09:54.424086 : Epoch  5, Batch    154, Loss  0.880178, Average Loss  0.871329, Time  0.445885
2021-09-25 07:10:00.458934 : Epoch  5, Batch    155, Loss  0.873148, Average Loss  0.871265, Time  0.458738
2021-09-25 07:10:06.480554 : Epoch  5, Batch    156, Loss  0.880117, Average Loss  0.871232, Time  0.445984
2021-09-25 07:10:12.511875 : Epoch  5, Batch    157, Loss  0.866221, Average Loss  0.871098, Time  0.447275
2021-09-25 07:10:18.534377 : Epoch  5, Batch    158, Loss  0.870949, Average Loss  0.871122, Time  0.447556
2021-09-25 07:10:24.626920 : Epoch  5, Batch    159, Loss  0.869058, Average Loss  0.871192, Time  0.448186
2021-09-25 07:10:30.670559 : Epoch  5, Batch    160, Loss  0.868994, Average Loss  0.871198, Time  0.449163
2021-09-25 07:10:36.727024 : Epoch  5, Batch    161, Loss  0.867070, Average Loss  0.871183, Time  0.448788
2021-09-25 07:10:42.782841 : Epoch  5, Batch    162, Loss  0.874926, Average Loss  0.871220, Time  0.456900
2021-09-25 07:10:48.820730 : Epoch  5, Batch    163, Loss  0.877614, Average Loss  0.871301, Time  0.452082
2021-09-25 07:10:54.854022 : Epoch  5, Batch    164, Loss  0.883066, Average Loss  0.871354, Time  0.448387
2021-09-25 07:11:00.864467 : Epoch  5, Batch    165, Loss  0.875733, Average Loss  0.871323, Time  0.448145
2021-09-25 07:11:06.878370 : CheckPoint: Validation Loss  0.00015147, Best Loss  0.00014804
2021-09-25 07:11:06.913514 : Epoch  5, Batch    166, Loss  0.872419, Average Loss  0.871365, Time  0.445309
2021-09-25 07:11:12.939868 : Epoch  5, Batch    167, Loss  0.857769, Average Loss  0.871289, Time  0.445315
2021-09-25 07:11:12.975830 : Epoch  5, Batch    489, Loss  0.874445, Average Loss  0.870437, Time  0.445082
2021-09-25 07:11:18.993393 : Epoch  5, Batch    168, Loss  0.866871, Average Loss  0.871309, Time  0.453063
2021-09-25 07:11:19.085976 : Epoch  5, Batch    490, Loss  0.862334, Average Loss  0.870366, Time  0.447576
2021-09-25 07:11:25.022978 : Epoch  5, Batch    169, Loss  0.870967, Average Loss  0.871239, Time  0.446360
2021-09-25 07:11:25.197913 : Epoch  5, Batch    491, Loss  0.873248, Average Loss  0.870368, Time  0.446588
2021-09-25 07:11:31.079407 : Epoch  5, Batch    170, Loss  0.880826, Average Loss  0.871332, Time  0.458646
2021-09-25 07:11:31.315805 : Epoch  5, Batch    492, Loss  0.866448, Average Loss  0.870358, Time  0.444935
2021-09-25 07:11:37.114272 : Epoch  5, Batch    171, Loss  0.864757, Average Loss  0.871306, Time  0.449780
2021-09-25 07:11:37.431273 : Epoch  5, Batch    493, Loss  0.859283, Average Loss  0.870306, Time  0.452649
2021-09-25 07:11:43.152268 : Epoch  5, Batch    172, Loss  0.870352, Average Loss  0.871267, Time  0.446696
2021-09-25 07:11:43.547829 : Epoch  5, Batch    494, Loss  0.872060, Average Loss  0.870308, Time  0.446346
2021-09-25 07:11:49.198836 : Epoch  5, Batch    173, Loss  0.877121, Average Loss  0.871336, Time  0.445471
2021-09-25 07:11:49.670067 : Epoch  5, Batch    495, Loss  0.852872, Average Loss  0.870225, Time  0.445323
2021-09-25 07:11:55.224721 : Epoch  5, Batch    174, Loss  0.868331, Average Loss  0.871332, Time  0.445813
2021-09-25 07:11:55.793623 : Epoch  5, Batch    496, Loss  0.882451, Average Loss  0.870182, Time  0.445889
2021-09-25 07:12:01.268887 : Epoch  5, Batch    175, Loss  0.872965, Average Loss  0.871306, Time  0.445834
2021-09-25 07:12:01.906496 : Epoch  5, Batch    497, Loss  0.871523, Average Loss  0.870198, Time  0.445136
2021-09-25 07:12:07.312484 : Epoch  5, Batch    176, Loss  0.869515, Average Loss  0.871314, Time  0.450154
2021-09-25 07:12:08.042789 : Epoch  5, Batch    498, Loss  0.887477, Average Loss  0.870353, Time  0.445755
2021-09-25 07:12:13.350436 : Epoch  5, Batch    177, Loss  0.849959, Average Loss  0.871304, Time  0.457719
2021-09-25 07:12:14.178855 : Epoch  5, Batch    499, Loss  0.866536, Average Loss  0.870308, Time  0.445653
2021-09-25 07:12:19.398580 : Epoch  5, Batch    178, Loss  0.858452, Average Loss  0.871257, Time  0.446279
2021-09-25 07:12:20.302950 : Epoch  5, Batch    500, Loss  0.865325, Average Loss  0.870271, Time  0.445926
2021-09-25 07:12:25.459781 : Epoch  5, Batch    179, Loss  0.870895, Average Loss  0.871296, Time  0.446505
2021-09-25 07:12:26.447939 : Epoch  5, Batch    501, Loss  0.875200, Average Loss  0.870328, Time  0.459853
2021-09-25 07:12:31.488311 : Epoch  5, Batch    180, Loss  0.885152, Average Loss  0.871410, Time  0.448500
2021-09-25 07:12:32.559233 : Epoch  5, Batch    502, Loss  0.874273, Average Loss  0.870430, Time  0.446707
2021-09-25 07:12:37.532726 : Epoch  5, Batch    181, Loss  0.866058, Average Loss  0.871365, Time  0.447361
2021-09-25 07:12:38.690352 : Epoch  5, Batch    503, Loss  0.873936, Average Loss  0.870496, Time  0.446017
2021-09-25 07:12:43.588940 : Epoch  5, Batch    182, Loss  0.865988, Average Loss  0.871313, Time  0.445886
2021-09-25 07:12:44.821418 : Epoch  5, Batch    504, Loss  0.863328, Average Loss  0.870498, Time  0.446209
2021-09-25 07:12:49.636655 : Epoch  5, Batch    183, Loss  0.881064, Average Loss  0.871346, Time  0.447336
2021-09-25 07:12:50.933521 : Epoch  5, Batch    505, Loss  0.877925, Average Loss  0.870519, Time  0.445933
2021-09-25 07:12:55.644656 : Epoch  5, Batch    184, Loss  0.867794, Average Loss  0.871250, Time  0.445667
2021-09-25 07:12:57.039276 : Epoch  5, Batch    506, Loss  0.851784, Average Loss  0.870483, Time  0.445174
2021-09-25 07:13:01.663141 : Epoch  5, Batch    185, Loss  0.873734, Average Loss  0.871252, Time  0.456968
2021-09-25 07:13:03.151822 : Epoch  5, Batch    507, Loss  0.858665, Average Loss  0.870367, Time  0.448681
2021-09-25 07:13:07.698050 : Epoch  5, Batch    186, Loss  0.867799, Average Loss  0.871228, Time  0.447538
2021-09-25 07:13:09.285762 : Epoch  5, Batch    508, Loss  0.870870, Average Loss  0.870376, Time  0.458081
2021-09-25 07:13:13.738681 : Epoch  5, Batch    187, Loss  0.878005, Average Loss  0.871229, Time  0.449260
2021-09-25 07:13:15.431000 : Epoch  5, Batch    509, Loss  0.864084, Average Loss  0.870329, Time  0.445059
2021-09-25 07:13:19.777216 : Epoch  5, Batch    188, Loss  0.876748, Average Loss  0.871211, Time  0.446041
2021-09-25 07:13:21.559936 : Epoch  5, Batch    510, Loss  0.855681, Average Loss  0.870286, Time  0.446168
2021-09-25 07:13:27.699010 : Epoch  5, Batch    511, Loss  0.875776, Average Loss  0.870324, Time  0.446563
2021-09-25 07:13:33.854403 : Epoch  5, Batch    512, Loss  0.856587, Average Loss  0.870167, Time  0.460647
2021-09-25 07:13:39.841929 : Epoch  5, Batch    513, Loss  0.868356, Average Loss  0.870236, Time  0.442098
2021-09-25 07:13:45.646089 : Epoch  5, Batch    514, Loss  0.866361, Average Loss  0.870222, Time  0.443701
2021-09-25 07:13:51.426302 : Epoch  5, Batch    515, Loss  0.865060, Average Loss  0.870191, Time  0.443560
2021-09-25 07:13:57.218441 : Epoch  5, Batch    516, Loss  0.878603, Average Loss  0.870225, Time  0.456590
2021-09-25 07:14:02.966345 : Epoch  5, Batch    517, Loss  0.860096, Average Loss  0.870165, Time  0.442782
2021-09-25 07:14:08.724403 : Epoch  5, Batch    518, Loss  0.872557, Average Loss  0.870169, Time  0.443773
2021-09-25 07:14:14.534018 : Epoch  5, Batch    519, Loss  0.871468, Average Loss  0.870165, Time  0.442192
2021-09-25 07:14:20.295252 : Epoch  5, Batch    520, Loss  0.867495, Average Loss  0.870146, Time  0.442941
2021-09-25 07:14:26.064858 : Epoch  5, Batch    521, Loss  0.865318, Average Loss  0.870195, Time  0.442907
2021-09-25 07:14:31.819852 : Epoch  5, Batch    522, Loss  0.873782, Average Loss  0.870193, Time  0.443201
2021-09-25 07:14:37.658203 : Epoch  5, Batch    523, Loss  0.881679, Average Loss  0.870237, Time  0.443980
2021-09-25 07:14:43.424238 : Epoch  5, Batch    524, Loss  0.863579, Average Loss  0.870245, Time  0.452391
2021-09-25 07:14:49.202051 : Epoch  5, Batch    525, Loss  0.854201, Average Loss  0.870083, Time  0.443868
2021-09-25 07:14:54.982342 : Epoch  5, Batch    526, Loss  0.859771, Average Loss  0.869955, Time  0.443899
2021-09-25 07:15:00.801872 : Epoch  5, Batch    527, Loss  0.857814, Average Loss  0.869878, Time  0.442640
2021-09-25 07:15:06.667864 : Epoch  5, Batch    528, Loss  0.870992, Average Loss  0.869902, Time  0.444416
2021-09-25 07:15:12.410663 : Epoch  5, Batch    529, Loss  0.859466, Average Loss  0.869904, Time  0.443011
2021-09-25 07:15:18.224023 : Epoch  5, Batch    530, Loss  0.878088, Average Loss  0.870068, Time  0.443340
2021-09-25 07:15:24.016931 : Epoch  5, Batch    531, Loss  0.877691, Average Loss  0.870141, Time  0.442710
2021-09-25 07:15:29.775978 : Epoch  5, Batch    532, Loss  0.877538, Average Loss  0.870165, Time  0.458552
2021-09-25 07:15:35.597729 : Epoch  5, Batch    533, Loss  0.873581, Average Loss  0.870168, Time  0.443404
2021-09-25 07:15:41.431739 : Epoch  5, Batch    534, Loss  0.870536, Average Loss  0.870218, Time  0.443423
2021-09-25 07:15:47.171464 : Epoch  5, Batch    535, Loss  0.870946, Average Loss  0.870237, Time  0.444576
2021-09-25 07:15:52.954808 : Epoch  5, Batch    536, Loss  0.863934, Average Loss  0.870205, Time  0.444312
2021-09-25 07:15:58.713365 : Epoch  5, Batch    537, Loss  0.878379, Average Loss  0.870265, Time  0.442959
2021-09-25 07:16:04.526042 : Epoch  5, Batch    538, Loss  0.868740, Average Loss  0.870242, Time  0.445122
2021-09-25 07:16:10.319894 : Epoch  5, Batch    539, Loss  0.875660, Average Loss  0.870264, Time  0.443274
2021-09-25 07:16:16.220915 : Epoch  5, Batch    540, Loss  0.865830, Average Loss  0.870289, Time  0.457980
2021-09-25 07:16:22.068550 : Epoch  5, Batch    541, Loss  0.868698, Average Loss  0.870353, Time  0.442345
2021-09-25 07:16:27.901839 : Epoch  5, Batch    542, Loss  0.876551, Average Loss  0.870421, Time  0.443230
2021-09-25 07:16:33.736355 : Epoch  5, Batch    543, Loss  0.867633, Average Loss  0.870409, Time  0.443414
2021-09-25 07:16:39.532432 : Epoch  5, Batch    544, Loss  0.871456, Average Loss  0.870386, Time  0.443923
2021-09-25 07:16:45.290125 : Epoch  5, Batch    545, Loss  0.860681, Average Loss  0.870383, Time  0.443721
2021-09-25 07:16:51.116852 : Epoch  5, Batch    546, Loss  0.872853, Average Loss  0.870422, Time  0.443663
2021-09-25 07:16:56.909466 : Epoch  5, Batch    547, Loss  0.865216, Average Loss  0.870417, Time  0.442983
2021-09-25 07:17:02.719224 : Epoch  5, Batch    548, Loss  0.866760, Average Loss  0.870457, Time  0.456551
2021-09-25 07:17:08.517908 : Epoch  5, Batch    549, Loss  0.866154, Average Loss  0.870335, Time  0.442492
2021-09-25 07:17:14.313510 : Epoch  5, Batch    550, Loss  0.858134, Average Loss  0.870236, Time  0.443279
2021-09-25 07:17:20.236993 : Epoch  5, Batch    551, Loss  0.879891, Average Loss  0.870312, Time  0.446738
2021-09-25 07:17:26.045041 : Epoch  5, Batch    552, Loss  0.855090, Average Loss  0.870234, Time  0.444414
2021-09-25 07:17:31.850795 : Epoch  5, Batch    553, Loss  0.874151, Average Loss  0.870154, Time  0.443572
2021-09-25 07:17:37.646955 : Epoch  5, Batch    554, Loss  0.880039, Average Loss  0.870253, Time  0.444633
2021-09-25 07:17:43.475908 : Epoch  5, Batch    555, Loss  0.858685, Average Loss  0.870191, Time  0.442637
2021-09-25 07:17:49.306092 : Epoch  5, Batch    556, Loss  0.872018, Average Loss  0.870193, Time  0.459494
2021-09-25 07:17:55.111797 : Epoch  5, Batch    557, Loss  0.852484, Average Loss  0.870084, Time  0.443708
2021-09-25 07:18:00.905620 : Epoch  5, Batch    558, Loss  0.870234, Average Loss  0.870088, Time  0.444412
2021-09-25 07:18:06.703813 : Epoch  5, Batch    559, Loss  0.889199, Average Loss  0.870177, Time  0.444515
2021-09-25 07:18:07.822904 : CheckPoint: Validation Loss  0.00015074, Best Loss  0.00014852
2021-09-25 07:18:12.507262 : Epoch  5, Batch    560, Loss  0.879679, Average Loss  0.870174, Time  0.443081
2021-09-25 07:18:13.831842 : Epoch  5, Batch    189, Loss  0.878098, Average Loss  0.871225, Time  0.473057
2021-09-25 07:18:18.311402 : Epoch  5, Batch    561, Loss  0.867525, Average Loss  0.870150, Time  0.442729
2021-09-25 07:18:19.915319 : Epoch  5, Batch    190, Loss  0.884300, Average Loss  0.871249, Time  0.486591
2021-09-25 07:18:24.125737 : Epoch  5, Batch    562, Loss  0.867077, Average Loss  0.870130, Time  0.444983
2021-09-25 07:18:25.925949 : Epoch  5, Batch    191, Loss  0.886600, Average Loss  0.871356, Time  0.449356
2021-09-25 07:18:30.070369 : Epoch  5, Batch    563, Loss  0.871560, Average Loss  0.870185, Time  0.443436
2021-09-25 07:18:31.941122 : Epoch  5, Batch    192, Loss  0.874192, Average Loss  0.871436, Time  0.475454
2021-09-25 07:18:35.992482 : Epoch  5, Batch    564, Loss  0.874447, Average Loss  0.870157, Time  0.458320
2021-09-25 07:18:38.060789 : Epoch  5, Batch    193, Loss  0.855105, Average Loss  0.871383, Time  0.448846
2021-09-25 07:18:41.827644 : Epoch  5, Batch    565, Loss  0.862251, Average Loss  0.870129, Time  0.445497
2021-09-25 07:18:44.080590 : Epoch  5, Batch    194, Loss  0.870859, Average Loss  0.871373, Time  0.448616
2021-09-25 07:18:47.742581 : Epoch  5, Batch    566, Loss  0.851412, Average Loss  0.870025, Time  0.443719
2021-09-25 07:18:50.230495 : Epoch  5, Batch    195, Loss  0.872844, Average Loss  0.871377, Time  0.473801
2021-09-25 07:18:53.626153 : Epoch  5, Batch    567, Loss  0.880190, Average Loss  0.870012, Time  0.444472
2021-09-25 07:18:56.439164 : Epoch  5, Batch    196, Loss  0.870145, Average Loss  0.871359, Time  0.470738
2021-09-25 07:18:59.555861 : Epoch  5, Batch    568, Loss  0.879975, Average Loss  0.870035, Time  0.447135
2021-09-25 07:19:02.569748 : Epoch  5, Batch    197, Loss  0.881696, Average Loss  0.871370, Time  0.470795
2021-09-25 07:19:05.508668 : Epoch  5, Batch    569, Loss  0.882724, Average Loss  0.870066, Time  0.443224
2021-09-25 07:19:08.760660 : Epoch  5, Batch    198, Loss  0.867412, Average Loss  0.871307, Time  0.492097
2021-09-25 07:19:11.375754 : Epoch  5, Batch    570, Loss  0.866366, Average Loss  0.869993, Time  0.444086
2021-09-25 07:19:14.727626 : Epoch  5, Batch    199, Loss  0.855663, Average Loss  0.871275, Time  0.452175
2021-09-25 07:19:17.300639 : Epoch  5, Batch    571, Loss  0.861402, Average Loss  0.869892, Time  0.444940
2021-09-25 07:19:20.655172 : Epoch  5, Batch    200, Loss  0.864681, Average Loss  0.871267, Time  0.447626
2021-09-25 07:19:23.223160 : Epoch  5, Batch    572, Loss  0.861061, Average Loss  0.869936, Time  0.461430
2021-09-25 07:19:26.800196 : Epoch  5, Batch    201, Loss  0.862799, Average Loss  0.871251, Time  0.451025
2021-09-25 07:19:29.158152 : Epoch  5, Batch    573, Loss  0.865261, Average Loss  0.869919, Time  0.443965
2021-09-25 07:19:32.873102 : Epoch  5, Batch    202, Loss  0.859362, Average Loss  0.871169, Time  0.474195
2021-09-25 07:19:35.003167 : Epoch  5, Batch    574, Loss  0.863753, Average Loss  0.869896, Time  0.444671
2021-09-25 07:19:39.023444 : Epoch  5, Batch    203, Loss  0.871608, Average Loss  0.871131, Time  0.450941
2021-09-25 07:19:40.908933 : Epoch  5, Batch    575, Loss  0.864533, Average Loss  0.869898, Time  0.443228
2021-09-25 07:19:45.156664 : Epoch  5, Batch    204, Loss  0.864609, Average Loss  0.871086, Time  0.473989
2021-09-25 07:19:46.840337 : Epoch  5, Batch    576, Loss  0.873513, Average Loss  0.869880, Time  0.444948
2021-09-25 07:19:51.410716 : Epoch  5, Batch    205, Loss  0.868661, Average Loss  0.870960, Time  0.490711
2021-09-25 07:19:52.678350 : Epoch  5, Batch    577, Loss  0.869417, Average Loss  0.869778, Time  0.443753
2021-09-25 07:19:57.358089 : Epoch  5, Batch    206, Loss  0.894715, Average Loss  0.871037, Time  0.449061
2021-09-25 07:19:58.594158 : Epoch  5, Batch    578, Loss  0.879041, Average Loss  0.869779, Time  0.444513
2021-09-25 07:20:03.396825 : Epoch  5, Batch    207, Loss  0.860389, Average Loss  0.870952, Time  0.449731
2021-09-25 07:20:04.430529 : Epoch  5, Batch    579, Loss  0.878451, Average Loss  0.869791, Time  0.444126
2021-09-25 07:20:09.526023 : Epoch  5, Batch    208, Loss  0.864529, Average Loss  0.870915, Time  0.471153
2021-09-25 07:20:10.400432 : Epoch  5, Batch    580, Loss  0.863498, Average Loss  0.869772, Time  0.459375
2021-09-25 07:20:15.734882 : Epoch  5, Batch    209, Loss  0.873670, Average Loss  0.870934, Time  0.450307
2021-09-25 07:20:16.230520 : Epoch  5, Batch    581, Loss  0.876831, Average Loss  0.869793, Time  0.444758
2021-09-25 07:20:21.628395 : Epoch  5, Batch    210, Loss  0.882191, Average Loss  0.871160, Time  0.445546
2021-09-25 07:20:22.198879 : Epoch  5, Batch    582, Loss  0.860892, Average Loss  0.869664, Time  0.445048
2021-09-25 07:20:27.720735 : Epoch  5, Batch    211, Loss  0.869557, Average Loss  0.871123, Time  0.477624
2021-09-25 07:20:28.066957 : Epoch  5, Batch    583, Loss  0.865554, Average Loss  0.869677, Time  0.444691
2021-09-25 07:20:33.754745 : Epoch  5, Batch    212, Loss  0.866547, Average Loss  0.871098, Time  0.449638
2021-09-25 07:20:33.978313 : Epoch  5, Batch    584, Loss  0.868783, Average Loss  0.869656, Time  0.444454
2021-09-25 07:20:39.750504 : Epoch  5, Batch    213, Loss  0.872955, Average Loss  0.871072, Time  0.459032
2021-09-25 07:20:39.859898 : Epoch  5, Batch    585, Loss  0.877410, Average Loss  0.869747, Time  0.443797
2021-09-25 07:20:45.716925 : Epoch  5, Batch    214, Loss  0.870035, Average Loss  0.871099, Time  0.450167
2021-09-25 07:20:45.781988 : Epoch  5, Batch    586, Loss  0.884024, Average Loss  0.869896, Time  0.445886
2021-09-25 07:20:51.645174 : Epoch  5, Batch    587, Loss  0.868231, Average Loss  0.869869, Time  0.443214
2021-09-25 07:20:51.738171 : Epoch  5, Batch    215, Loss  0.882967, Average Loss  0.871182, Time  0.450243
2021-09-25 07:20:57.530473 : Epoch  5, Batch    588, Loss  0.882315, Average Loss  0.869967, Time  0.458428
2021-09-25 07:20:57.698891 : Epoch  5, Batch    216, Loss  0.870933, Average Loss  0.871191, Time  0.447282
2021-09-25 07:21:03.850741 : Epoch  5, Batch    217, Loss  0.862233, Average Loss  0.871172, Time  0.447881
2021-09-25 07:21:09.969954 : Epoch  5, Batch    218, Loss  0.871236, Average Loss  0.871155, Time  0.475625
2021-09-25 07:21:16.039905 : Epoch  5, Batch    219, Loss  0.880442, Average Loss  0.871275, Time  0.450591
2021-09-25 07:21:22.178412 : Epoch  5, Batch    220, Loss  0.879565, Average Loss  0.871321, Time  0.460900
2021-09-25 07:21:28.137465 : Epoch  5, Batch    221, Loss  0.884180, Average Loss  0.871405, Time  0.451323
2021-09-25 07:21:34.156296 : Epoch  5, Batch    222, Loss  0.856827, Average Loss  0.871356, Time  0.473212
2021-09-25 07:21:40.170294 : Epoch  5, Batch    223, Loss  0.870130, Average Loss  0.871337, Time  0.447929
2021-09-25 07:21:46.210474 : Epoch  5, Batch    224, Loss  0.881367, Average Loss  0.871382, Time  0.448453
2021-09-25 07:21:52.212565 : Epoch  5, Batch    225, Loss  0.878039, Average Loss  0.871426, Time  0.448019
2021-09-25 07:21:58.373944 : Epoch  5, Batch    226, Loss  0.870603, Average Loss  0.871365, Time  0.452109
2021-09-25 07:22:04.386424 : Epoch  5, Batch    227, Loss  0.878502, Average Loss  0.871404, Time  0.450278
2021-09-25 07:22:10.575123 : Epoch  5, Batch    228, Loss  0.860175, Average Loss  0.871405, Time  0.466558
2021-09-25 07:22:16.790617 : Epoch  5, Batch    229, Loss  0.876183, Average Loss  0.871458, Time  0.473775
2021-09-25 07:22:22.938858 : Epoch  5, Batch    230, Loss  0.865466, Average Loss  0.871385, Time  0.470013
2021-09-25 07:22:29.013530 : Epoch  5, Batch    231, Loss  0.884497, Average Loss  0.871489, Time  0.474712
2021-09-25 07:22:35.183541 : Epoch  5, Batch    232, Loss  0.866037, Average Loss  0.871484, Time  0.471775
2021-09-25 07:22:41.302973 : Epoch  5, Batch    233, Loss  0.869323, Average Loss  0.871453, Time  0.474070
2021-09-25 07:22:47.481119 : Epoch  5, Batch    234, Loss  0.880821, Average Loss  0.871444, Time  0.469623
2021-09-25 07:22:53.515038 : Epoch  5, Batch    235, Loss  0.868233, Average Loss  0.871395, Time  0.467089
2021-09-25 07:22:59.666035 : Epoch  5, Batch    236, Loss  0.861842, Average Loss  0.871257, Time  0.474750
2021-09-25 07:23:05.681969 : Epoch  5, Batch    237, Loss  0.862920, Average Loss  0.871155, Time  0.449365
2021-09-25 07:23:10.071643 : Epoch  5, Batch    238, Loss  0.880642, Average Loss  0.871242, Time  0.347141
2021-09-25 07:23:15.965997 : Epoch  5, Batch    239, Loss  0.868968, Average Loss  0.871323, Time  0.451252
2021-09-25 07:23:22.138295 : Epoch  5, Batch    240, Loss  0.874694, Average Loss  0.871336, Time  0.474524
2021-09-25 07:23:28.339297 : Epoch  5, Batch    241, Loss  0.866361, Average Loss  0.871329, Time  0.473714
2021-09-25 07:23:34.313797 : Epoch  5, Batch    242, Loss  0.851313, Average Loss  0.871234, Time  0.447961
2021-09-25 07:23:40.355974 : Epoch  5, Batch    243, Loss  0.872073, Average Loss  0.871326, Time  0.463967
2021-09-25 07:23:46.338233 : Epoch  5, Batch    244, Loss  0.873123, Average Loss  0.871336, Time  0.448611
2021-09-25 07:23:52.368347 : Epoch  5, Batch    245, Loss  0.859749, Average Loss  0.871216, Time  0.452881
2021-09-25 07:23:58.293699 : Epoch  5, Batch    246, Loss  0.865896, Average Loss  0.871166, Time  0.448523
2021-09-25 07:24:04.298190 : Epoch  5, Batch    247, Loss  0.874220, Average Loss  0.871219, Time  0.476602
2021-09-25 07:24:10.453457 : Epoch  5, Batch    248, Loss  0.869928, Average Loss  0.871207, Time  0.449518
2021-09-25 07:24:16.399733 : Epoch  5, Batch    249, Loss  0.891119, Average Loss  0.871274, Time  0.449736
2021-09-25 07:24:22.441809 : Epoch  5, Batch    250, Loss  0.864008, Average Loss  0.871252, Time  0.449623
2021-09-25 07:24:28.366787 : Epoch  5, Batch    251, Loss  0.868981, Average Loss  0.871191, Time  0.459913
2021-09-25 07:24:34.344974 : Epoch  5, Batch    252, Loss  0.853099, Average Loss  0.871049, Time  0.448449
2021-09-25 07:24:40.345894 : Epoch  5, Batch    253, Loss  0.863674, Average Loss  0.870992, Time  0.454078
2021-09-25 07:24:46.253955 : Epoch  5, Batch    254, Loss  0.865260, Average Loss  0.870944, Time  0.449251
2021-09-25 07:24:52.240609 : Epoch  5, Batch    255, Loss  0.877107, Average Loss  0.870936, Time  0.448197
2021-09-25 07:24:58.215191 : Epoch  5, Batch    256, Loss  0.884143, Average Loss  0.871033, Time  0.447779
2021-09-25 07:25:04.195467 : Epoch  5, Batch    257, Loss  0.855680, Average Loss  0.870938, Time  0.448858
2021-09-25 07:25:10.161793 : Epoch  5, Batch    258, Loss  0.857947, Average Loss  0.870863, Time  0.449268
2021-09-25 07:25:16.139284 : Epoch  5, Batch    259, Loss  0.866688, Average Loss  0.870822, Time  0.462970
2021-09-25 07:25:22.068397 : Epoch  5, Batch    260, Loss  0.871162, Average Loss  0.870894, Time  0.446938
2021-09-25 07:25:27.907873 : Epoch  5, Batch    261, Loss  0.866521, Average Loss  0.870874, Time  0.447715
2021-09-25 07:25:33.490403 : CheckPoint: Validation Loss  0.00015069, Best Loss  0.00014804
2021-09-25 07:25:33.852310 : Epoch  5, Batch    262, Loss  0.867591, Average Loss  0.870814, Time  0.448621
2021-09-25 07:25:39.346118 : Epoch  5, Batch    589, Loss  0.867287, Average Loss  0.869939, Time  0.452134
2021-09-25 07:25:39.812783 : Epoch  5, Batch    263, Loss  0.872663, Average Loss  0.870848, Time  0.447981
2021-09-25 07:25:45.286895 : Epoch  5, Batch    590, Loss  0.872805, Average Loss  0.869888, Time  0.444730
2021-09-25 07:25:45.762992 : Epoch  5, Batch    264, Loss  0.850216, Average Loss  0.870792, Time  0.452241
2021-09-25 07:25:51.148315 : Epoch  5, Batch    591, Loss  0.873186, Average Loss  0.869946, Time  0.445153
2021-09-25 07:25:51.711227 : Epoch  5, Batch    265, Loss  0.873630, Average Loss  0.870808, Time  0.445214
2021-09-25 07:25:57.021843 : Epoch  5, Batch    592, Loss  0.879473, Average Loss  0.869947, Time  0.444788
2021-09-25 07:25:57.771209 : Epoch  5, Batch    266, Loss  0.864965, Average Loss  0.870726, Time  0.449457
2021-09-25 07:26:02.880161 : Epoch  5, Batch    593, Loss  0.880716, Average Loss  0.869909, Time  0.443102
2021-09-25 07:26:03.944946 : Epoch  5, Batch    267, Loss  0.888468, Average Loss  0.870827, Time  0.488382
2021-09-25 07:26:08.749407 : Epoch  5, Batch    594, Loss  0.872316, Average Loss  0.869993, Time  0.442873
2021-09-25 07:26:10.124204 : Epoch  5, Batch    268, Loss  0.878408, Average Loss  0.870928, Time  0.473763
2021-09-25 07:26:14.647054 : Epoch  5, Batch    595, Loss  0.850332, Average Loss  0.869918, Time  0.443304
2021-09-25 07:26:16.294953 : Epoch  5, Batch    269, Loss  0.874216, Average Loss  0.870953, Time  0.472708
2021-09-25 07:26:20.531296 : Epoch  5, Batch    596, Loss  0.868270, Average Loss  0.869973, Time  0.444356
2021-09-25 07:26:22.483831 : Epoch  5, Batch    270, Loss  0.869239, Average Loss  0.870903, Time  0.452453
2021-09-25 07:26:26.402870 : Epoch  5, Batch    597, Loss  0.871901, Average Loss  0.869977, Time  0.458146
2021-09-25 07:26:28.671150 : Epoch  5, Batch    271, Loss  0.884736, Average Loss  0.870950, Time  0.448968
2021-09-25 07:26:32.300693 : Epoch  5, Batch    598, Loss  0.869390, Average Loss  0.869992, Time  0.444979
2021-09-25 07:26:34.554004 : Epoch  5, Batch    272, Loss  0.867137, Average Loss  0.870932, Time  0.447284
2021-09-25 07:26:38.248918 : Epoch  5, Batch    599, Loss  0.871371, Average Loss  0.870010, Time  0.445955
2021-09-25 07:26:40.485112 : Epoch  5, Batch    273, Loss  0.886766, Average Loss  0.870935, Time  0.446938
2021-09-25 07:26:44.176524 : Epoch  5, Batch    600, Loss  0.872073, Average Loss  0.870046, Time  0.445713
2021-09-25 07:26:46.581406 : Epoch  5, Batch    274, Loss  0.868941, Average Loss  0.870930, Time  0.459177
2021-09-25 07:26:50.016421 : Epoch  5, Batch    601, Loss  0.863275, Average Loss  0.869997, Time  0.443156
2021-09-25 07:26:52.558532 : Epoch  5, Batch    275, Loss  0.864382, Average Loss  0.870923, Time  0.444004
2021-09-25 07:26:55.995481 : Epoch  5, Batch    602, Loss  0.861446, Average Loss  0.869891, Time  0.444631
2021-09-25 07:26:58.443384 : Epoch  5, Batch    276, Loss  0.871743, Average Loss  0.870915, Time  0.449239
2021-09-25 07:27:01.843994 : Epoch  5, Batch    603, Loss  0.870422, Average Loss  0.869907, Time  0.443612
2021-09-25 07:27:04.645681 : Epoch  5, Batch    277, Loss  0.872243, Average Loss  0.870912, Time  0.473192
2021-09-25 07:27:07.699983 : Epoch  5, Batch    604, Loss  0.871564, Average Loss  0.869881, Time  0.444662
2021-09-25 07:27:10.845068 : Epoch  5, Batch    278, Loss  0.875951, Average Loss  0.870966, Time  0.468114
2021-09-25 07:27:13.578163 : Epoch  5, Batch    605, Loss  0.854707, Average Loss  0.869811, Time  0.454015
2021-09-25 07:27:16.821789 : Epoch  5, Batch    279, Loss  0.857274, Average Loss  0.870944, Time  0.447531
2021-09-25 07:27:19.409609 : Epoch  5, Batch    606, Loss  0.871700, Average Loss  0.869760, Time  0.443448
2021-09-25 07:27:22.794669 : Epoch  5, Batch    280, Loss  0.880825, Average Loss  0.871049, Time  0.448652
2021-09-25 07:27:25.287083 : Epoch  5, Batch    607, Loss  0.876615, Average Loss  0.869847, Time  0.443988
2021-09-25 07:27:28.764777 : Epoch  5, Batch    281, Loss  0.870993, Average Loss  0.871127, Time  0.446159
2021-09-25 07:27:31.084775 : Epoch  5, Batch    608, Loss  0.861869, Average Loss  0.869829, Time  0.443814
2021-09-25 07:27:34.805562 : Epoch  5, Batch    282, Loss  0.886176, Average Loss  0.871216, Time  0.463112
2021-09-25 07:27:36.907278 : Epoch  5, Batch    609, Loss  0.867926, Average Loss  0.869782, Time  0.445987
2021-09-25 07:27:40.724887 : Epoch  5, Batch    283, Loss  0.860583, Average Loss  0.871146, Time  0.449566
2021-09-25 07:27:42.792147 : Epoch  5, Batch    610, Loss  0.848450, Average Loss  0.869669, Time  0.444507
2021-09-25 07:27:46.746129 : Epoch  5, Batch    284, Loss  0.863440, Average Loss  0.871082, Time  0.449844
2021-09-25 07:27:47.064187 : Epoch  5, Batch    611, Loss  0.869323, Average Loss  0.869594, Time  0.344955
2021-09-25 07:27:52.670826 : Epoch  5, Batch    285, Loss  0.861935, Average Loss  0.871025, Time  0.448896
2021-09-25 07:27:52.941082 : Epoch  5, Batch    612, Loss  0.871528, Average Loss  0.869656, Time  0.443498
2021-09-25 07:27:58.752045 : Epoch  5, Batch    286, Loss  0.850265, Average Loss  0.870879, Time  0.472214
2021-09-25 07:27:58.790743 : Epoch  5, Batch    613, Loss  0.878634, Average Loss  0.869703, Time  0.459665
2021-09-25 07:28:04.678404 : Epoch  5, Batch    287, Loss  0.867898, Average Loss  0.870926, Time  0.449661
2021-09-25 07:28:04.788227 : Epoch  5, Batch    614, Loss  0.872374, Average Loss  0.869690, Time  0.445976
2021-09-25 07:28:10.627247 : Epoch  5, Batch    615, Loss  0.862544, Average Loss  0.869535, Time  0.443703
2021-09-25 07:28:16.538204 : Epoch  5, Batch    616, Loss  0.868025, Average Loss  0.869536, Time  0.443533
2021-09-25 07:28:22.479208 : Epoch  5, Batch    617, Loss  0.869821, Average Loss  0.869518, Time  0.446228
2021-09-25 07:28:24.441492 : Epoch  5, Batch    288, Loss  0.851974, Average Loss  0.870876, Time  0.490682
2021-09-25 07:28:28.412668 : Epoch  5, Batch    618, Loss  0.886423, Average Loss  0.869611, Time  0.445207
2021-09-25 07:28:34.319178 : Epoch  5, Batch    619, Loss  0.865907, Average Loss  0.869632, Time  0.443053
2021-09-25 07:28:40.180404 : Epoch  5, Batch    620, Loss  0.880806, Average Loss  0.869680, Time  0.444452
2021-09-25 07:28:46.106143 : Epoch  5, Batch    621, Loss  0.882903, Average Loss  0.869684, Time  0.459656
2021-09-25 07:28:52.000999 : Epoch  5, Batch    622, Loss  0.872446, Average Loss  0.869663, Time  0.445648
2021-09-25 07:28:57.848049 : Epoch  5, Batch    623, Loss  0.858609, Average Loss  0.869613, Time  0.444110
2021-09-25 07:29:03.671050 : Epoch  5, Batch    624, Loss  0.870376, Average Loss  0.869610, Time  0.444644
2021-09-25 07:29:09.523914 : Epoch  5, Batch    625, Loss  0.873954, Average Loss  0.869616, Time  0.443423
2021-09-25 07:29:15.391793 : Epoch  5, Batch    626, Loss  0.871048, Average Loss  0.869551, Time  0.444677
2021-09-25 07:29:21.209329 : Epoch  5, Batch    627, Loss  0.862446, Average Loss  0.869509, Time  0.444616
2021-09-25 07:29:27.131003 : Epoch  5, Batch    628, Loss  0.853025, Average Loss  0.869377, Time  0.444701
2021-09-25 07:29:33.052319 : Epoch  5, Batch    629, Loss  0.882334, Average Loss  0.869412, Time  0.459901
2021-09-25 07:29:38.907875 : Epoch  5, Batch    630, Loss  0.867579, Average Loss  0.869427, Time  0.443874
2021-09-25 07:29:44.743882 : Epoch  5, Batch    631, Loss  0.867531, Average Loss  0.869429, Time  0.445550
2021-09-25 07:29:50.581995 : Epoch  5, Batch    632, Loss  0.861761, Average Loss  0.869428, Time  0.443172
2021-09-25 07:29:56.426580 : Epoch  5, Batch    633, Loss  0.871708, Average Loss  0.869430, Time  0.443679
2021-09-25 07:30:02.299359 : Epoch  5, Batch    634, Loss  0.878951, Average Loss  0.869551, Time  0.444643
2021-09-25 07:30:08.160911 : Epoch  5, Batch    635, Loss  0.873603, Average Loss  0.869651, Time  0.445431
2021-09-25 07:30:14.056931 : Epoch  5, Batch    636, Loss  0.868497, Average Loss  0.869608, Time  0.443630
2021-09-25 07:30:19.984073 : Epoch  5, Batch    637, Loss  0.874873, Average Loss  0.869655, Time  0.461037
2021-09-25 07:30:25.874371 : Epoch  5, Batch    638, Loss  0.884641, Average Loss  0.869694, Time  0.443811
2021-09-25 07:30:31.727470 : Epoch  5, Batch    639, Loss  0.865208, Average Loss  0.869616, Time  0.443938
2021-09-25 07:30:37.668855 : Epoch  5, Batch    640, Loss  0.870480, Average Loss  0.869686, Time  0.445491
2021-09-25 07:30:43.562427 : Epoch  5, Batch    641, Loss  0.875923, Average Loss  0.869751, Time  0.443247
2021-09-25 07:30:49.459987 : Epoch  5, Batch    642, Loss  0.867717, Average Loss  0.869769, Time  0.443246
2021-09-25 07:30:55.412177 : Epoch  5, Batch    643, Loss  0.868033, Average Loss  0.869773, Time  0.445071
2021-09-25 07:31:01.346999 : Epoch  5, Batch    644, Loss  0.860371, Average Loss  0.869766, Time  0.444672
2021-09-25 07:31:07.272202 : Epoch  5, Batch    645, Loss  0.869889, Average Loss  0.869772, Time  0.450020
2021-09-25 07:31:13.238468 : Epoch  5, Batch    646, Loss  0.880403, Average Loss  0.869801, Time  0.444639
2021-09-25 07:31:19.116627 : Epoch  5, Batch    647, Loss  0.874435, Average Loss  0.869780, Time  0.446181
2021-09-25 07:31:24.995727 : Epoch  5, Batch    648, Loss  0.871555, Average Loss  0.869749, Time  0.446109
2021-09-25 07:31:30.918819 : Epoch  5, Batch    649, Loss  0.881096, Average Loss  0.869831, Time  0.445053
2021-09-25 07:31:36.851816 : Epoch  5, Batch    650, Loss  0.877914, Average Loss  0.869829, Time  0.445980
2021-09-25 07:31:42.906523 : Epoch  5, Batch    651, Loss  0.883861, Average Loss  0.869899, Time  0.445362
2021-09-25 07:31:48.774725 : Epoch  5, Batch    652, Loss  0.872525, Average Loss  0.869952, Time  0.443635
2021-09-25 07:31:54.642664 : Epoch  5, Batch    653, Loss  0.868314, Average Loss  0.869972, Time  0.458071
2021-09-25 07:32:00.541789 : Epoch  5, Batch    654, Loss  0.870715, Average Loss  0.870020, Time  0.446671
2021-09-25 07:32:06.347035 : Epoch  5, Batch    655, Loss  0.849394, Average Loss  0.869929, Time  0.444078
2021-09-25 07:32:12.180839 : Epoch  5, Batch    656, Loss  0.875942, Average Loss  0.869985, Time  0.445895
2021-09-25 07:32:18.017402 : Epoch  5, Batch    657, Loss  0.875783, Average Loss  0.870022, Time  0.445624
2021-09-25 07:32:23.873634 : Epoch  5, Batch    658, Loss  0.864929, Average Loss  0.869989, Time  0.443600
2021-09-25 07:32:29.755091 : Epoch  5, Batch    659, Loss  0.860852, Average Loss  0.869992, Time  0.445358
2021-09-25 07:32:35.736505 : Epoch  5, Batch    660, Loss  0.871105, Average Loss  0.869998, Time  0.446307
2021-09-25 07:32:41.609045 : Epoch  5, Batch    661, Loss  0.865026, Average Loss  0.869955, Time  0.455888
2021-09-25 07:32:47.433559 : Epoch  5, Batch    662, Loss  0.860720, Average Loss  0.869877, Time  0.443724
2021-09-25 07:32:53.300667 : Epoch  5, Batch    663, Loss  0.879356, Average Loss  0.869902, Time  0.444089
2021-09-25 07:32:59.233223 : Epoch  5, Batch    664, Loss  0.875911, Average Loss  0.869944, Time  0.445111
2021-09-25 07:33:05.102983 : Epoch  5, Batch    665, Loss  0.881523, Average Loss  0.869980, Time  0.443367
2021-09-25 07:33:10.977164 : Epoch  5, Batch    666, Loss  0.878220, Average Loss  0.870011, Time  0.444535
2021-09-25 07:33:13.798131 : CheckPoint: Validation Loss  0.00015058, Best Loss  0.00014852
2021-09-25 07:33:16.881191 : Epoch  5, Batch    667, Loss  0.873202, Average Loss  0.870058, Time  0.444431
2021-09-25 07:33:19.751044 : Epoch  5, Batch    289, Loss  0.868355, Average Loss  0.870902, Time  0.452844
2021-09-25 07:33:22.787635 : Epoch  5, Batch    668, Loss  0.869250, Average Loss  0.870068, Time  0.443992
2021-09-25 07:33:25.649036 : Epoch  5, Batch    290, Loss  0.856189, Average Loss  0.870853, Time  0.446777
2021-09-25 07:33:28.760012 : Epoch  5, Batch    669, Loss  0.861371, Average Loss  0.870090, Time  0.457623
2021-09-25 07:33:31.553987 : Epoch  5, Batch    291, Loss  0.872828, Average Loss  0.870758, Time  0.447517
2021-09-25 07:33:34.683007 : Epoch  5, Batch    670, Loss  0.870557, Average Loss  0.869983, Time  0.446748
2021-09-25 07:33:37.487335 : Epoch  5, Batch    292, Loss  0.861262, Average Loss  0.870697, Time  0.457446
2021-09-25 07:33:40.615707 : Epoch  5, Batch    671, Loss  0.869422, Average Loss  0.869954, Time  0.443408
2021-09-25 07:33:43.426907 : Epoch  5, Batch    293, Loss  0.867985, Average Loss  0.870649, Time  0.451115
2021-09-25 07:33:46.484668 : Epoch  5, Batch    672, Loss  0.876185, Average Loss  0.870003, Time  0.444554
2021-09-25 07:33:49.415795 : Epoch  5, Batch    294, Loss  0.861618, Average Loss  0.870649, Time  0.448131
2021-09-25 07:33:52.367092 : Epoch  5, Batch    673, Loss  0.873014, Average Loss  0.869984, Time  0.444091
2021-09-25 07:33:55.534091 : Epoch  5, Batch    295, Loss  0.890007, Average Loss  0.870807, Time  0.451255
2021-09-25 07:33:58.261019 : Epoch  5, Batch    674, Loss  0.860226, Average Loss  0.869909, Time  0.445560
2021-09-25 07:34:01.450345 : Epoch  5, Batch    296, Loss  0.876864, Average Loss  0.870831, Time  0.446797
2021-09-25 07:34:04.221972 : Epoch  5, Batch    675, Loss  0.873117, Average Loss  0.869851, Time  0.444884
2021-09-25 07:34:07.324415 : Epoch  5, Batch    297, Loss  0.877318, Average Loss  0.870810, Time  0.449777
2021-09-25 07:34:10.140314 : Epoch  5, Batch    676, Loss  0.869619, Average Loss  0.869782, Time  0.444609
2021-09-25 07:34:13.244048 : Epoch  5, Batch    298, Loss  0.860691, Average Loss  0.870747, Time  0.446710
2021-09-25 07:34:16.169639 : Epoch  5, Batch    677, Loss  0.872778, Average Loss  0.869851, Time  0.460908
2021-09-25 07:34:19.076936 : Epoch  5, Batch    299, Loss  0.871790, Average Loss  0.870724, Time  0.445621
2021-09-25 07:34:22.032755 : Epoch  5, Batch    678, Loss  0.864397, Average Loss  0.869846, Time  0.444648
2021-09-25 07:34:25.048711 : Epoch  5, Batch    300, Loss  0.855218, Average Loss  0.870621, Time  0.459210
2021-09-25 07:34:27.945109 : Epoch  5, Batch    679, Loss  0.869446, Average Loss  0.869785, Time  0.443713
2021-09-25 07:34:30.953872 : Epoch  5, Batch    301, Loss  0.871359, Average Loss  0.870712, Time  0.446302
2021-09-25 07:34:33.821716 : Epoch  5, Batch    680, Loss  0.868373, Average Loss  0.869748, Time  0.444375
2021-09-25 07:34:36.860116 : Epoch  5, Batch    302, Loss  0.869703, Average Loss  0.870698, Time  0.446062
2021-09-25 07:34:39.676464 : Epoch  5, Batch    681, Loss  0.866353, Average Loss  0.869685, Time  0.443595
2021-09-25 07:34:42.797916 : Epoch  5, Batch    303, Loss  0.862789, Average Loss  0.870606, Time  0.446281
2021-09-25 07:34:45.547064 : Epoch  5, Batch    682, Loss  0.867967, Average Loss  0.869693, Time  0.446017
2021-09-25 07:34:48.702897 : Epoch  5, Batch    304, Loss  0.863911, Average Loss  0.870632, Time  0.444921
2021-09-25 07:34:51.440607 : Epoch  5, Batch    683, Loss  0.874476, Average Loss  0.869741, Time  0.445123
2021-09-25 07:34:54.586770 : Epoch  5, Batch    305, Loss  0.879345, Average Loss  0.870634, Time  0.447203
2021-09-25 07:34:57.380579 : Epoch  5, Batch    684, Loss  0.868119, Average Loss  0.869752, Time  0.443429
2021-09-25 07:35:00.487140 : Epoch  5, Batch    306, Loss  0.880364, Average Loss  0.870581, Time  0.446220
2021-09-25 07:35:03.248878 : Epoch  5, Batch    685, Loss  0.875741, Average Loss  0.869779, Time  0.451005
2021-09-25 07:35:06.666765 : Epoch  5, Batch    307, Loss  0.849861, Average Loss  0.870511, Time  0.472714
2021-09-25 07:35:09.123131 : Epoch  5, Batch    686, Loss  0.860529, Average Loss  0.869684, Time  0.445050
2021-09-25 07:35:12.803937 : Epoch  5, Batch    308, Loss  0.890274, Average Loss  0.870612, Time  0.481828
2021-09-25 07:35:15.002689 : Epoch  5, Batch    687, Loss  0.878184, Average Loss  0.869724, Time  0.443862
2021-09-25 07:35:18.961640 : Epoch  5, Batch    309, Loss  0.878411, Average Loss  0.870562, Time  0.470592
2021-09-25 07:35:20.859528 : Epoch  5, Batch    688, Loss  0.865438, Average Loss  0.869732, Time  0.444614
2021-09-25 07:35:25.119549 : Epoch  5, Batch    310, Loss  0.875447, Average Loss  0.870576, Time  0.472131
2021-09-25 07:35:31.230239 : Epoch  5, Batch    311, Loss  0.864635, Average Loss  0.870500, Time  0.447868
2021-09-25 07:35:37.179222 : Epoch  5, Batch    312, Loss  0.865829, Average Loss  0.870441, Time  0.445729
2021-09-25 07:35:43.126062 : Epoch  5, Batch    313, Loss  0.863367, Average Loss  0.870390, Time  0.449189
2021-09-25 07:35:49.113786 : Epoch  5, Batch    314, Loss  0.883916, Average Loss  0.870456, Time  0.447618
2021-09-25 07:35:55.068725 : Epoch  5, Batch    315, Loss  0.856671, Average Loss  0.870339, Time  0.459068
2021-09-25 07:36:01.093088 : Epoch  5, Batch    316, Loss  0.870451, Average Loss  0.870316, Time  0.447824
2021-09-25 07:36:06.953908 : Epoch  5, Batch    317, Loss  0.865791, Average Loss  0.870302, Time  0.447721
2021-09-25 07:36:12.792719 : Epoch  5, Batch    318, Loss  0.859136, Average Loss  0.870224, Time  0.446811
2021-09-25 07:36:18.749148 : Epoch  5, Batch    319, Loss  0.882090, Average Loss  0.870251, Time  0.445867
2021-09-25 07:36:24.887419 : Epoch  5, Batch    320, Loss  0.882554, Average Loss  0.870371, Time  0.472068
2021-09-25 07:36:31.011925 : Epoch  5, Batch    321, Loss  0.864139, Average Loss  0.870371, Time  0.472924
2021-09-25 07:36:36.925197 : Epoch  5, Batch    322, Loss  0.882928, Average Loss  0.870406, Time  0.447402
2021-09-25 07:36:43.083654 : Epoch  5, Batch    323, Loss  0.862303, Average Loss  0.870430, Time  0.464520
2021-09-25 07:36:49.023964 : Epoch  5, Batch    324, Loss  0.861288, Average Loss  0.870383, Time  0.446324
2021-09-25 07:36:55.152927 : Epoch  5, Batch    325, Loss  0.875697, Average Loss  0.870398, Time  0.447858
2021-09-25 07:37:01.130742 : Epoch  5, Batch    326, Loss  0.867876, Average Loss  0.870336, Time  0.447140
2021-09-25 07:37:07.104314 : Epoch  5, Batch    327, Loss  0.853014, Average Loss  0.870289, Time  0.445794
2021-09-25 07:37:13.048033 : Epoch  5, Batch    328, Loss  0.880563, Average Loss  0.870365, Time  0.445401
2021-09-25 07:37:19.239126 : Epoch  5, Batch    329, Loss  0.873881, Average Loss  0.870383, Time  0.471982
2021-09-25 07:37:25.389534 : Epoch  5, Batch    330, Loss  0.839403, Average Loss  0.870289, Time  0.486009
2021-09-25 07:37:31.506323 : Epoch  5, Batch    331, Loss  0.877499, Average Loss  0.870271, Time  0.469206
2021-09-25 07:37:37.450501 : Epoch  5, Batch    332, Loss  0.863997, Average Loss  0.870224, Time  0.448175
2021-09-25 07:37:43.620087 : Epoch  5, Batch    333, Loss  0.875792, Average Loss  0.870238, Time  0.471695
2021-09-25 07:37:49.661374 : Epoch  5, Batch    334, Loss  0.864377, Average Loss  0.870210, Time  0.470660
2021-09-25 07:37:55.728869 : Epoch  5, Batch    335, Loss  0.867360, Average Loss  0.870142, Time  0.445323
2021-09-25 07:38:01.686392 : Epoch  5, Batch    336, Loss  0.863281, Average Loss  0.870052, Time  0.449221
2021-09-25 07:38:07.807289 : Epoch  5, Batch    337, Loss  0.863148, Average Loss  0.870039, Time  0.448099
2021-09-25 07:38:13.787501 : Epoch  5, Batch    338, Loss  0.879822, Average Loss  0.870049, Time  0.454529
2021-09-25 07:38:19.604187 : Epoch  5, Batch    339, Loss  0.874389, Average Loss  0.870040, Time  0.448215
2021-09-25 07:38:25.559853 : Epoch  5, Batch    340, Loss  0.876230, Average Loss  0.870081, Time  0.444101
2021-09-25 07:38:31.520980 : Epoch  5, Batch    341, Loss  0.873336, Average Loss  0.870093, Time  0.445163
2021-09-25 07:38:37.407694 : Epoch  5, Batch    342, Loss  0.868648, Average Loss  0.870059, Time  0.446500
2021-09-25 07:38:43.487674 : Epoch  5, Batch    343, Loss  0.873936, Average Loss  0.870035, Time  0.473305
2021-09-25 07:38:49.644358 : Epoch  5, Batch    344, Loss  0.884473, Average Loss  0.870036, Time  0.470938
2021-09-25 07:38:55.781055 : Epoch  5, Batch    345, Loss  0.880382, Average Loss  0.870079, Time  0.471120
2021-09-25 07:39:01.895754 : Epoch  5, Batch    346, Loss  0.862100, Average Loss  0.870160, Time  0.482518
2021-09-25 07:39:08.020864 : Epoch  5, Batch    347, Loss  0.868354, Average Loss  0.870188, Time  0.471262
2021-09-25 07:39:13.951933 : Epoch  5, Batch    348, Loss  0.873538, Average Loss  0.870227, Time  0.447483
2021-09-25 07:39:20.061467 : Epoch  5, Batch    349, Loss  0.867599, Average Loss  0.870267, Time  0.448162
2021-09-25 07:39:25.982187 : Epoch  5, Batch    350, Loss  0.873730, Average Loss  0.870252, Time  0.448791
2021-09-25 07:39:32.136929 : Epoch  5, Batch    351, Loss  0.862673, Average Loss  0.870233, Time  0.449605
2021-09-25 07:39:38.493654 : Epoch  5, Batch    352, Loss  0.868666, Average Loss  0.870239, Time  0.473663
2021-09-25 07:39:44.746909 : Epoch  5, Batch    353, Loss  0.854675, Average Loss  0.870232, Time  0.462893
2021-09-25 07:39:50.956356 : Epoch  5, Batch    354, Loss  0.859667, Average Loss  0.870130, Time  0.492085
2021-09-25 07:39:55.984594 : CheckPoint: Validation Loss  0.00015197, Best Loss  0.00014804
2021-09-25 07:39:57.151961 : Epoch  5, Batch    355, Loss  0.860625, Average Loss  0.870067, Time  0.472052
2021-09-25 07:40:01.988093 : Epoch  5, Batch    689, Loss  0.874163, Average Loss  0.869731, Time  0.444875
2021-09-25 07:40:03.225507 : Epoch  5, Batch    356, Loss  0.871548, Average Loss  0.870024, Time  0.448467
2021-09-25 07:40:08.053060 : Epoch  5, Batch    690, Loss  0.872079, Average Loss  0.869780, Time  0.444062
2021-09-25 07:40:09.272979 : Epoch  5, Batch    357, Loss  0.878276, Average Loss  0.870085, Time  0.446923
2021-09-25 07:40:14.137278 : Epoch  5, Batch    691, Loss  0.863075, Average Loss  0.869729, Time  0.444248
2021-09-25 07:40:15.381591 : Epoch  5, Batch    358, Loss  0.858981, Average Loss  0.870025, Time  0.449226
2021-09-25 07:40:20.247165 : Epoch  5, Batch    692, Loss  0.867897, Average Loss  0.869736, Time  0.444753
2021-09-25 07:40:21.684316 : Epoch  5, Batch    359, Loss  0.868319, Average Loss  0.870021, Time  0.466989
2021-09-25 07:40:26.103827 : Epoch  5, Batch    693, Loss  0.874999, Average Loss  0.869815, Time  0.455058
2021-09-25 07:40:27.652467 : Epoch  5, Batch    360, Loss  0.852426, Average Loss  0.869938, Time  0.470912
2021-09-25 07:40:31.909759 : Epoch  5, Batch    694, Loss  0.878327, Average Loss  0.869846, Time  0.444743
2021-09-25 07:40:33.618085 : Epoch  5, Batch    361, Loss  0.876415, Average Loss  0.869985, Time  0.459193
2021-09-25 07:40:37.720120 : Epoch  5, Batch    695, Loss  0.854801, Average Loss  0.869856, Time  0.442477
2021-09-25 07:40:39.424351 : Epoch  5, Batch    362, Loss  0.865421, Average Loss  0.869938, Time  0.444461
2021-09-25 07:40:43.474910 : Epoch  5, Batch    696, Loss  0.865098, Average Loss  0.869769, Time  0.442312
2021-09-25 07:40:45.303560 : Epoch  5, Batch    363, Loss  0.883178, Average Loss  0.869965, Time  0.471591
2021-09-25 07:40:49.262378 : Epoch  5, Batch    697, Loss  0.882279, Average Loss  0.869823, Time  0.443578
2021-09-25 07:40:51.129999 : Epoch  5, Batch    364, Loss  0.869923, Average Loss  0.869900, Time  0.443209
2021-09-25 07:40:55.014991 : Epoch  5, Batch    698, Loss  0.857828, Average Loss  0.869674, Time  0.442259
2021-09-25 07:40:56.928488 : Epoch  5, Batch    365, Loss  0.865898, Average Loss  0.869850, Time  0.445039
2021-09-25 07:41:00.769364 : Epoch  5, Batch    699, Loss  0.876147, Average Loss  0.869722, Time  0.443371
2021-09-25 07:41:02.978952 : Epoch  5, Batch    366, Loss  0.854763, Average Loss  0.869762, Time  0.470378
2021-09-25 07:41:06.544850 : Epoch  5, Batch    700, Loss  0.867745, Average Loss  0.869734, Time  0.443537
2021-09-25 07:41:08.989565 : Epoch  5, Batch    367, Loss  0.870800, Average Loss  0.869827, Time  0.468465
2021-09-25 07:41:12.334371 : Epoch  5, Batch    701, Loss  0.883275, Average Loss  0.869775, Time  0.456634
2021-09-25 07:41:14.979497 : Epoch  5, Batch    368, Loss  0.852047, Average Loss  0.869753, Time  0.467435
2021-09-25 07:41:18.233088 : Epoch  5, Batch    702, Loss  0.887556, Average Loss  0.869841, Time  0.444952
2021-09-25 07:41:20.918021 : Epoch  5, Batch    369, Loss  0.879266, Average Loss  0.869795, Time  0.484789
2021-09-25 07:41:23.970042 : Epoch  5, Batch    703, Loss  0.868712, Average Loss  0.869815, Time  0.444579
2021-09-25 07:41:26.818324 : Epoch  5, Batch    370, Loss  0.866751, Average Loss  0.869724, Time  0.469743
2021-09-25 07:41:29.795890 : Epoch  5, Batch    704, Loss  0.880034, Average Loss  0.869899, Time  0.442655
2021-09-25 07:41:32.860053 : Epoch  5, Batch    371, Loss  0.885705, Average Loss  0.869829, Time  0.466491
2021-09-25 07:41:35.566439 : Epoch  5, Batch    705, Loss  0.869877, Average Loss  0.869858, Time  0.444478
2021-09-25 07:41:38.886978 : Epoch  5, Batch    372, Loss  0.861923, Average Loss  0.869787, Time  0.469323
2021-09-25 07:41:41.286594 : Epoch  5, Batch    706, Loss  0.876235, Average Loss  0.869981, Time  0.443404
2021-09-25 07:41:44.919016 : Epoch  5, Batch    373, Loss  0.869542, Average Loss  0.869749, Time  0.471852
2021-09-25 07:41:47.058899 : Epoch  5, Batch    707, Loss  0.888761, Average Loss  0.870131, Time  0.442560
2021-09-25 07:41:50.927161 : Epoch  5, Batch    374, Loss  0.865727, Average Loss  0.869736, Time  0.468333
2021-09-25 07:41:52.809780 : Epoch  5, Batch    708, Loss  0.870845, Average Loss  0.870131, Time  0.443993
2021-09-25 07:41:56.925399 : Epoch  5, Batch    375, Loss  0.868199, Average Loss  0.869712, Time  0.472471
2021-09-25 07:41:58.550333 : Epoch  5, Batch    709, Loss  0.863364, Average Loss  0.870127, Time  0.445206
2021-09-25 07:42:02.755562 : Epoch  5, Batch    376, Loss  0.868470, Average Loss  0.869707, Time  0.454296
2021-09-25 07:42:04.351647 : Epoch  5, Batch    710, Loss  0.869433, Average Loss  0.870196, Time  0.454680
2021-09-25 07:42:08.578021 : Epoch  5, Batch    377, Loss  0.871652, Average Loss  0.869815, Time  0.443724
2021-09-25 07:42:10.157116 : Epoch  5, Batch    711, Loss  0.857664, Average Loss  0.870106, Time  0.444013
2021-09-25 07:42:14.443638 : Epoch  5, Batch    378, Loss  0.865206, Average Loss  0.869849, Time  0.446428
2021-09-25 07:42:15.928637 : Epoch  5, Batch    712, Loss  0.876777, Average Loss  0.870207, Time  0.443299
2021-09-25 07:42:20.377492 : Epoch  5, Batch    379, Loss  0.861323, Average Loss  0.869801, Time  0.447115
2021-09-25 07:42:21.915821 : Epoch  5, Batch    713, Loss  0.863045, Average Loss  0.870180, Time  0.447576
2021-09-25 07:42:26.494094 : Epoch  5, Batch    380, Loss  0.870412, Average Loss  0.869728, Time  0.446564
2021-09-25 07:42:28.011774 : Epoch  5, Batch    714, Loss  0.875701, Average Loss  0.870227, Time  0.444873
2021-09-25 07:42:32.551969 : Epoch  5, Batch    381, Loss  0.873644, Average Loss  0.869766, Time  0.446489
2021-09-25 07:42:34.106740 : Epoch  5, Batch    715, Loss  0.867595, Average Loss  0.870239, Time  0.446595
2021-09-25 07:42:38.641388 : Epoch  5, Batch    382, Loss  0.866555, Average Loss  0.869768, Time  0.446530
2021-09-25 07:42:40.220819 : Epoch  5, Batch    716, Loss  0.860498, Average Loss  0.870149, Time  0.445081
2021-09-25 07:42:44.704961 : Epoch  5, Batch    383, Loss  0.881307, Average Loss  0.869770, Time  0.452557
2021-09-25 07:42:46.338485 : Epoch  5, Batch    717, Loss  0.873311, Average Loss  0.870215, Time  0.454691
2021-09-25 07:42:50.822186 : Epoch  5, Batch    384, Loss  0.866355, Average Loss  0.869762, Time  0.462458
2021-09-25 07:42:52.444027 : Epoch  5, Batch    718, Loss  0.869354, Average Loss  0.870199, Time  0.446282
2021-09-25 07:42:56.869810 : Epoch  5, Batch    385, Loss  0.882386, Average Loss  0.869806, Time  0.447217
2021-09-25 07:42:58.541869 : Epoch  5, Batch    719, Loss  0.877491, Average Loss  0.870229, Time  0.446358
2021-09-25 07:43:02.932031 : Epoch  5, Batch    386, Loss  0.877750, Average Loss  0.869855, Time  0.476177
2021-09-25 07:43:04.650886 : Epoch  5, Batch    720, Loss  0.885155, Average Loss  0.870317, Time  0.447982
2021-09-25 07:43:08.960910 : Epoch  5, Batch    387, Loss  0.883058, Average Loss  0.869881, Time  0.448137
2021-09-25 07:43:10.753039 : Epoch  5, Batch    721, Loss  0.867062, Average Loss  0.870326, Time  0.445354
2021-09-25 07:43:15.012384 : Epoch  5, Batch    388, Loss  0.874384, Average Loss  0.869869, Time  0.446160
2021-09-25 07:43:16.863887 : Epoch  5, Batch    722, Loss  0.873765, Average Loss  0.870326, Time  0.450930
2021-09-25 07:43:22.969232 : Epoch  5, Batch    723, Loss  0.863880, Average Loss  0.870237, Time  0.445849
2021-09-25 07:43:29.080269 : Epoch  5, Batch    724, Loss  0.867621, Average Loss  0.870257, Time  0.446132
2021-09-25 07:43:35.201286 : Epoch  5, Batch    725, Loss  0.862739, Average Loss  0.870300, Time  0.460746
2021-09-25 07:43:41.314741 : Epoch  5, Batch    726, Loss  0.861846, Average Loss  0.870310, Time  0.446532
2021-09-25 07:43:47.431816 : Epoch  5, Batch    727, Loss  0.865289, Average Loss  0.870348, Time  0.444620
2021-09-25 07:43:53.549915 : Epoch  5, Batch    728, Loss  0.869710, Average Loss  0.870341, Time  0.446968
2021-09-25 07:43:59.656676 : Epoch  5, Batch    729, Loss  0.873119, Average Loss  0.870410, Time  0.448054
2021-09-25 07:44:05.764890 : Epoch  5, Batch    730, Loss  0.856768, Average Loss  0.870303, Time  0.445739
2021-09-25 07:44:11.880759 : Epoch  5, Batch    731, Loss  0.881559, Average Loss  0.870322, Time  0.444725
2021-09-25 07:44:18.001816 : Epoch  5, Batch    732, Loss  0.864277, Average Loss  0.870256, Time  0.460343
2021-09-25 07:44:24.097506 : Epoch  5, Batch    733, Loss  0.863670, Average Loss  0.870206, Time  0.449275
2021-09-25 07:44:30.205906 : Epoch  5, Batch    734, Loss  0.883890, Average Loss  0.870273, Time  0.446882
2021-09-25 07:44:36.312198 : Epoch  5, Batch    735, Loss  0.872405, Average Loss  0.870280, Time  0.446592
2021-09-25 07:44:42.425897 : Epoch  5, Batch    736, Loss  0.867240, Average Loss  0.870297, Time  0.445921
2021-09-25 07:44:48.520468 : Epoch  5, Batch    737, Loss  0.875158, Average Loss  0.870281, Time  0.445443
2021-09-25 07:44:54.639748 : Epoch  5, Batch    738, Loss  0.878035, Average Loss  0.870327, Time  0.446080
2021-09-25 07:45:00.749457 : Epoch  5, Batch    739, Loss  0.869869, Average Loss  0.870298, Time  0.447010
2021-09-25 07:45:06.855854 : Epoch  5, Batch    740, Loss  0.868167, Average Loss  0.870310, Time  0.457139
2021-09-25 07:45:12.961550 : Epoch  5, Batch    741, Loss  0.877462, Average Loss  0.870354, Time  0.445483
2021-09-25 07:45:19.070563 : Epoch  5, Batch    742, Loss  0.876130, Average Loss  0.870352, Time  0.445870
2021-09-25 07:45:25.188054 : Epoch  5, Batch    743, Loss  0.869859, Average Loss  0.870363, Time  0.446430
2021-09-25 07:45:31.300628 : Epoch  5, Batch    744, Loss  0.870657, Average Loss  0.870359, Time  0.446958
2021-09-25 07:45:37.418377 : Epoch  5, Batch    745, Loss  0.890308, Average Loss  0.870507, Time  0.446478
2021-09-25 07:45:43.548012 : Epoch  5, Batch    746, Loss  0.876159, Average Loss  0.870524, Time  0.444639
2021-09-25 07:45:49.664758 : Epoch  5, Batch    747, Loss  0.862921, Average Loss  0.870512, Time  0.455094
2021-09-25 07:45:55.779765 : Epoch  5, Batch    748, Loss  0.861613, Average Loss  0.870486, Time  0.445449
2021-09-25 07:46:01.878879 : Epoch  5, Batch    749, Loss  0.856621, Average Loss  0.870439, Time  0.444463
2021-09-25 07:46:07.980111 : Epoch  5, Batch    750, Loss  0.866645, Average Loss  0.870481, Time  0.445614
2021-09-25 07:46:14.098809 : Epoch  5, Batch    751, Loss  0.886794, Average Loss  0.870516, Time  0.444664
2021-09-25 07:46:20.211411 : Epoch  5, Batch    752, Loss  0.864706, Average Loss  0.870564, Time  0.447531
2021-09-25 07:46:26.318517 : Epoch  5, Batch    753, Loss  0.862015, Average Loss  0.870503, Time  0.445084
2021-09-25 07:46:32.403392 : Epoch  5, Batch    754, Loss  0.886772, Average Loss  0.870537, Time  0.445906
2021-09-25 07:46:38.493528 : Epoch  5, Batch    755, Loss  0.855512, Average Loss  0.870521, Time  0.452139
2021-09-25 07:46:44.591359 : Epoch  5, Batch    756, Loss  0.876251, Average Loss  0.870542, Time  0.448661
2021-09-25 07:46:50.689685 : Epoch  5, Batch    757, Loss  0.865869, Average Loss  0.870609, Time  0.445381
2021-09-25 07:46:56.805574 : Epoch  5, Batch    758, Loss  0.871476, Average Loss  0.870615, Time  0.450849
2021-09-25 07:47:02.914004 : Epoch  5, Batch    759, Loss  0.874049, Average Loss  0.870540, Time  0.447280
2021-09-25 07:47:09.004752 : Epoch  5, Batch    760, Loss  0.861305, Average Loss  0.870448, Time  0.448167
2021-09-25 07:47:15.120831 : Epoch  5, Batch    761, Loss  0.882052, Average Loss  0.870520, Time  0.449260
2021-09-25 07:47:21.252738 : Epoch  5, Batch    762, Loss  0.861774, Average Loss  0.870494, Time  0.457739
2021-09-25 07:47:27.360923 : Epoch  5, Batch    763, Loss  0.857752, Average Loss  0.870425, Time  0.445039
2021-09-25 07:47:33.475837 : Epoch  5, Batch    764, Loss  0.865563, Average Loss  0.870380, Time  0.445325
2021-09-25 07:47:39.590888 : Epoch  5, Batch    765, Loss  0.874561, Average Loss  0.870442, Time  0.445281
2021-09-25 07:47:45.718570 : Epoch  5, Batch    766, Loss  0.863315, Average Loss  0.870501, Time  0.444978
2021-09-25 07:47:51.837656 : Epoch  5, Batch    767, Loss  0.867097, Average Loss  0.870436, Time  0.445068
2021-09-25 07:47:57.962060 : Epoch  5, Batch    768, Loss  0.859594, Average Loss  0.870334, Time  0.446141
2021-09-25 07:48:02.252353 : CheckPoint: Validation Loss  0.00015189, Best Loss  0.00014852
2021-09-25 07:48:04.061435 : Epoch  5, Batch    769, Loss  0.884569, Average Loss  0.870343, Time  0.446742
2021-09-25 07:48:08.235993 : Epoch  5, Batch    389, Loss  0.873990, Average Loss  0.869848, Time  0.462617
2021-09-25 07:48:10.175186 : Epoch  5, Batch    770, Loss  0.854956, Average Loss  0.870286, Time  0.456744
2021-09-25 07:48:14.286708 : Epoch  5, Batch    390, Loss  0.857351, Average Loss  0.869714, Time  0.478318
2021-09-25 07:48:16.274534 : Epoch  5, Batch    771, Loss  0.861588, Average Loss  0.870287, Time  0.444958
2021-09-25 07:48:20.356945 : Epoch  5, Batch    391, Loss  0.873697, Average Loss  0.869649, Time  0.453824
2021-09-25 07:48:22.369719 : Epoch  5, Batch    772, Loss  0.871152, Average Loss  0.870338, Time  0.446001
2021-09-25 07:48:26.365273 : Epoch  5, Batch    392, Loss  0.878309, Average Loss  0.869670, Time  0.447275
2021-09-25 07:48:28.460650 : Epoch  5, Batch    773, Loss  0.879480, Average Loss  0.870409, Time  0.444713
2021-09-25 07:48:32.365909 : Epoch  5, Batch    393, Loss  0.871443, Average Loss  0.869751, Time  0.448032
2021-09-25 07:48:34.559711 : Epoch  5, Batch    774, Loss  0.851047, Average Loss  0.870345, Time  0.445048
2021-09-25 07:48:38.439286 : Epoch  5, Batch    394, Loss  0.871090, Average Loss  0.869753, Time  0.448740
2021-09-25 07:48:40.659775 : Epoch  5, Batch    775, Loss  0.835611, Average Loss  0.870201, Time  0.445023
2021-09-25 07:48:44.517424 : Epoch  5, Batch    395, Loss  0.866948, Average Loss  0.869723, Time  0.453571
2021-09-25 07:48:46.758149 : Epoch  5, Batch    776, Loss  0.868810, Average Loss  0.870177, Time  0.445538
2021-09-25 07:48:50.516848 : Epoch  5, Batch    396, Loss  0.875045, Average Loss  0.869748, Time  0.456772
2021-09-25 07:48:52.888883 : Epoch  5, Batch    777, Loss  0.870367, Average Loss  0.870182, Time  0.460441
2021-09-25 07:48:56.526919 : Epoch  5, Batch    397, Loss  0.863746, Average Loss  0.869658, Time  0.457406
2021-09-25 07:48:59.004910 : Epoch  5, Batch    778, Loss  0.863608, Average Loss  0.870105, Time  0.449568
2021-09-25 07:49:02.562952 : Epoch  5, Batch    398, Loss  0.875384, Average Loss  0.869698, Time  0.449948
2021-09-25 07:49:05.098233 : Epoch  5, Batch    779, Loss  0.865168, Average Loss  0.870038, Time  0.445122
2021-09-25 07:49:08.616368 : Epoch  5, Batch    399, Loss  0.866528, Average Loss  0.869752, Time  0.451830
2021-09-25 07:49:11.195461 : Epoch  5, Batch    780, Loss  0.857021, Average Loss  0.870006, Time  0.449516
2021-09-25 07:49:14.677577 : Epoch  5, Batch    400, Loss  0.866107, Average Loss  0.869759, Time  0.451097
2021-09-25 07:49:17.290188 : Epoch  5, Batch    781, Loss  0.865173, Average Loss  0.869948, Time  0.445780
2021-09-25 07:49:20.698738 : Epoch  5, Batch    401, Loss  0.860646, Average Loss  0.869748, Time  0.454132
2021-09-25 07:49:23.378623 : Epoch  5, Batch    782, Loss  0.864784, Average Loss  0.869967, Time  0.444654
2021-09-25 07:49:26.719773 : Epoch  5, Batch    402, Loss  0.854610, Average Loss  0.869725, Time  0.447563
2021-09-25 07:49:29.465629 : Epoch  5, Batch    783, Loss  0.866988, Average Loss  0.869974, Time  0.447707
2021-09-25 07:49:32.740503 : Epoch  5, Batch    403, Loss  0.881231, Average Loss  0.869773, Time  0.459316
2021-09-25 07:49:35.551881 : Epoch  5, Batch    784, Loss  0.873268, Average Loss  0.869997, Time  0.445042
2021-09-25 07:49:38.817438 : Epoch  5, Batch    404, Loss  0.878375, Average Loss  0.869842, Time  0.461207
2021-09-25 07:49:41.642237 : Epoch  5, Batch    785, Loss  0.873828, Average Loss  0.869979, Time  0.453470
2021-09-25 07:49:44.851604 : Epoch  5, Batch    405, Loss  0.875458, Average Loss  0.869876, Time  0.447288
2021-09-25 07:49:47.728667 : Epoch  5, Batch    786, Loss  0.879209, Average Loss  0.869955, Time  0.445351
2021-09-25 07:49:50.860092 : Epoch  5, Batch    406, Loss  0.876215, Average Loss  0.869783, Time  0.450934
2021-09-25 07:49:53.824169 : Epoch  5, Batch    787, Loss  0.875960, Average Loss  0.869993, Time  0.449597
2021-09-25 07:49:56.957352 : Epoch  5, Batch    407, Loss  0.880851, Average Loss  0.869885, Time  0.462988
2021-09-25 07:49:59.915547 : Epoch  5, Batch    788, Loss  0.873077, Average Loss  0.869947, Time  0.448594
2021-09-25 07:50:03.183119 : Epoch  5, Batch    408, Loss  0.858176, Average Loss  0.869854, Time  0.502971
2021-09-25 07:50:09.389418 : Epoch  5, Batch    409, Loss  0.872143, Average Loss  0.869846, Time  0.451864
2021-09-25 07:50:15.470339 : Epoch  5, Batch    410, Loss  0.859677, Average Loss  0.869733, Time  0.452247
2021-09-25 07:50:21.539857 : Epoch  5, Batch    411, Loss  0.864507, Average Loss  0.869708, Time  0.453145
2021-09-25 07:50:27.596353 : Epoch  5, Batch    412, Loss  0.861976, Average Loss  0.869685, Time  0.463840
2021-09-25 07:50:33.613095 : Epoch  5, Batch    413, Loss  0.870832, Average Loss  0.869675, Time  0.445165
2021-09-25 07:50:39.660827 : Epoch  5, Batch    414, Loss  0.866574, Average Loss  0.869657, Time  0.446644
2021-09-25 07:50:45.675608 : Epoch  5, Batch    415, Loss  0.860637, Average Loss  0.869546, Time  0.446124
2021-09-25 07:50:51.715690 : Epoch  5, Batch    416, Loss  0.871920, Average Loss  0.869551, Time  0.444690
2021-09-25 07:50:57.726165 : Epoch  5, Batch    417, Loss  0.876846, Average Loss  0.869624, Time  0.445950
2021-09-25 07:51:03.764878 : Epoch  5, Batch    418, Loss  0.858862, Average Loss  0.869562, Time  0.452269
2021-09-25 07:51:09.799288 : Epoch  5, Batch    419, Loss  0.859064, Average Loss  0.869455, Time  0.444885
2021-09-25 07:51:15.833666 : Epoch  5, Batch    420, Loss  0.863540, Average Loss  0.869375, Time  0.459674
2021-09-25 07:51:21.838387 : Epoch  5, Batch    421, Loss  0.870553, Average Loss  0.869307, Time  0.444947
2021-09-25 07:51:27.841606 : Epoch  5, Batch    422, Loss  0.876445, Average Loss  0.869405, Time  0.445179
2021-09-25 07:51:33.854023 : Epoch  5, Batch    423, Loss  0.880608, Average Loss  0.869457, Time  0.447002
2021-09-25 07:51:39.844577 : Epoch  5, Batch    424, Loss  0.860940, Average Loss  0.869355, Time  0.445256
2021-09-25 07:51:45.861513 : Epoch  5, Batch    425, Loss  0.864549, Average Loss  0.869288, Time  0.443764
2021-09-25 07:51:51.885677 : Epoch  5, Batch    426, Loss  0.867616, Average Loss  0.869273, Time  0.447511
2021-09-25 07:51:57.917918 : Epoch  5, Batch    427, Loss  0.875280, Average Loss  0.869257, Time  0.447569
2021-09-25 07:52:03.932167 : Epoch  5, Batch    428, Loss  0.842364, Average Loss  0.869167, Time  0.468521
2021-09-25 07:52:09.982041 : Epoch  5, Batch    429, Loss  0.874077, Average Loss  0.869157, Time  0.447269
2021-09-25 07:52:15.999775 : Epoch  5, Batch    430, Loss  0.874488, Average Loss  0.869202, Time  0.444559
2021-09-25 07:52:22.019044 : Epoch  5, Batch    431, Loss  0.870951, Average Loss  0.869134, Time  0.448067
2021-09-25 07:52:28.021005 : Epoch  5, Batch    432, Loss  0.865991, Average Loss  0.869134, Time  0.447520
2021-09-25 07:52:34.038835 : Epoch  5, Batch    433, Loss  0.868875, Average Loss  0.869132, Time  0.454333
2021-09-25 07:52:40.070649 : Epoch  5, Batch    434, Loss  0.853580, Average Loss  0.868996, Time  0.446094
2021-09-25 07:52:46.117756 : Epoch  5, Batch    435, Loss  0.846658, Average Loss  0.868888, Time  0.457198
2021-09-25 07:52:52.168547 : Epoch  5, Batch    436, Loss  0.867237, Average Loss  0.868915, Time  0.447321
2021-09-25 07:52:58.177810 : Epoch  5, Batch    437, Loss  0.879050, Average Loss  0.868995, Time  0.446947
2021-09-25 07:53:04.208902 : Epoch  5, Batch    438, Loss  0.877720, Average Loss  0.868981, Time  0.447946
2021-09-25 07:53:10.240436 : Epoch  5, Batch    439, Loss  0.874464, Average Loss  0.869008, Time  0.445822
2021-09-25 07:53:16.257041 : Epoch  5, Batch    440, Loss  0.872388, Average Loss  0.868997, Time  0.445665
2021-09-25 07:53:22.284511 : Epoch  5, Batch    441, Loss  0.874331, Average Loss  0.869037, Time  0.446517
2021-09-25 07:53:28.281876 : Epoch  5, Batch    442, Loss  0.869006, Average Loss  0.869125, Time  0.445118
2021-09-25 07:53:34.317043 : Epoch  5, Batch    443, Loss  0.873737, Average Loss  0.869133, Time  0.463850
2021-09-25 07:53:40.342141 : Epoch  5, Batch    444, Loss  0.867947, Average Loss  0.869107, Time  0.447300
2021-09-25 07:53:46.345691 : Epoch  5, Batch    445, Loss  0.874413, Average Loss  0.869181, Time  0.444998
2021-09-25 07:53:52.338154 : Epoch  5, Batch    446, Loss  0.858047, Average Loss  0.869142, Time  0.445650
2021-09-25 07:53:58.347786 : Epoch  5, Batch    447, Loss  0.857278, Average Loss  0.869057, Time  0.450200
2021-09-25 07:54:04.366425 : Epoch  5, Batch    448, Loss  0.839758, Average Loss  0.868906, Time  0.444252
2021-09-25 07:54:10.377831 : Epoch  5, Batch    449, Loss  0.871516, Average Loss  0.868808, Time  0.444902
2021-09-25 07:54:16.397599 : Epoch  5, Batch    450, Loss  0.871790, Average Loss  0.868847, Time  0.450346
2021-09-25 07:54:22.418116 : Epoch  5, Batch    451, Loss  0.872927, Average Loss  0.868867, Time  0.456554
2021-09-25 07:54:28.457671 : Epoch  5, Batch    452, Loss  0.869308, Average Loss  0.868948, Time  0.447213
2021-09-25 07:54:34.503695 : Epoch  5, Batch    453, Loss  0.886297, Average Loss  0.869061, Time  0.444385
2021-09-25 07:54:40.520217 : Epoch  5, Batch    454, Loss  0.881413, Average Loss  0.869142, Time  0.453019
2021-09-25 07:54:43.752610 : CheckPoint: Validation Loss  0.00015031, Best Loss  0.00014804
2021-09-25 07:54:46.542730 : Epoch  5, Batch    455, Loss  0.869825, Average Loss  0.869105, Time  0.444512
2021-09-25 07:54:49.796314 : Epoch  5, Batch    789, Loss  0.870493, Average Loss  0.869963, Time  0.445297
2021-09-25 07:54:52.563945 : Epoch  5, Batch    456, Loss  0.867433, Average Loss  0.869022, Time  0.443649
2021-09-25 07:54:55.885948 : Epoch  5, Batch    790, Loss  0.865830, Average Loss  0.869928, Time  0.445262
2021-09-25 07:54:58.568619 : Epoch  5, Batch    457, Loss  0.874677, Average Loss  0.869117, Time  0.446722
2021-09-25 07:55:02.006887 : Epoch  5, Batch    791, Loss  0.866883, Average Loss  0.869897, Time  0.453495
2021-09-25 07:55:04.604636 : Epoch  5, Batch    458, Loss  0.871762, Average Loss  0.869186, Time  0.458757
2021-09-25 07:55:08.113692 : Epoch  5, Batch    792, Loss  0.879020, Average Loss  0.869894, Time  0.445487
2021-09-25 07:55:10.624633 : Epoch  5, Batch    459, Loss  0.877834, Average Loss  0.869241, Time  0.444272
2021-09-25 07:55:14.209229 : Epoch  5, Batch    793, Loss  0.862044, Average Loss  0.869801, Time  0.447227
2021-09-25 07:55:16.676118 : Epoch  5, Batch    460, Loss  0.855661, Average Loss  0.869164, Time  0.451086
2021-09-25 07:55:20.325856 : Epoch  5, Batch    794, Loss  0.868689, Average Loss  0.869783, Time  0.446795
2021-09-25 07:55:22.703464 : Epoch  5, Batch    461, Loss  0.874646, Average Loss  0.869204, Time  0.448791
2021-09-25 07:55:26.417317 : Epoch  5, Batch    795, Loss  0.869571, Average Loss  0.869879, Time  0.444855
2021-09-25 07:55:28.722057 : Epoch  5, Batch    462, Loss  0.855621, Average Loss  0.869145, Time  0.444910
2021-09-25 07:55:32.520602 : Epoch  5, Batch    796, Loss  0.878177, Average Loss  0.869929, Time  0.446970
2021-09-25 07:55:34.733868 : Epoch  5, Batch    463, Loss  0.864968, Average Loss  0.869106, Time  0.446383
2021-09-25 07:55:38.614616 : Epoch  5, Batch    797, Loss  0.867047, Average Loss  0.869904, Time  0.445560
2021-09-25 07:55:40.728994 : Epoch  5, Batch    464, Loss  0.874942, Average Loss  0.869230, Time  0.444612
2021-09-25 07:55:44.719399 : Epoch  5, Batch    798, Loss  0.867079, Average Loss  0.869893, Time  0.457954
2021-09-25 07:55:46.735700 : Epoch  5, Batch    465, Loss  0.872093, Average Loss  0.869222, Time  0.444113
2021-09-25 07:55:50.836337 : Epoch  5, Batch    799, Loss  0.874640, Average Loss  0.869909, Time  0.448743
2021-09-25 07:55:52.776564 : Epoch  5, Batch    466, Loss  0.850995, Average Loss  0.869152, Time  0.458950
2021-09-25 07:55:56.955941 : Epoch  5, Batch    800, Loss  0.863116, Average Loss  0.869864, Time  0.452388
2021-09-25 07:55:58.791466 : Epoch  5, Batch    467, Loss  0.864988, Average Loss  0.869035, Time  0.444544
2021-09-25 07:56:03.071881 : Epoch  5, Batch    801, Loss  0.877154, Average Loss  0.869934, Time  0.448876
2021-09-25 07:56:04.800264 : Epoch  5, Batch    468, Loss  0.862892, Average Loss  0.868957, Time  0.444134
2021-09-25 07:56:09.205387 : Epoch  5, Batch    802, Loss  0.882093, Average Loss  0.870037, Time  0.450311
2021-09-25 07:56:10.805506 : Epoch  5, Batch    469, Loss  0.863557, Average Loss  0.868904, Time  0.444418
2021-09-25 07:56:15.326385 : Epoch  5, Batch    803, Loss  0.881550, Average Loss  0.870093, Time  0.445759
2021-09-25 07:56:16.833902 : Epoch  5, Batch    470, Loss  0.880841, Average Loss  0.868962, Time  0.446639
2021-09-25 07:56:21.440968 : Epoch  5, Batch    804, Loss  0.866632, Average Loss  0.870068, Time  0.448537
2021-09-25 07:56:22.852857 : Epoch  5, Batch    471, Loss  0.877858, Average Loss  0.868928, Time  0.446588
2021-09-25 07:56:27.544825 : Epoch  5, Batch    805, Loss  0.863329, Average Loss  0.870111, Time  0.445892
2021-09-25 07:56:28.883641 : Epoch  5, Batch    472, Loss  0.879432, Average Loss  0.868989, Time  0.449772
2021-09-25 07:56:33.667673 : Epoch  5, Batch    806, Loss  0.869829, Average Loss  0.870102, Time  0.460999
2021-09-25 07:56:34.890427 : Epoch  5, Batch    473, Loss  0.866304, Average Loss  0.868887, Time  0.457156
2021-09-25 07:56:39.803942 : Epoch  5, Batch    807, Loss  0.873102, Average Loss  0.870084, Time  0.445810
2021-09-25 07:56:40.903499 : Epoch  5, Batch    474, Loss  0.853167, Average Loss  0.868808, Time  0.445012
2021-09-25 07:56:45.914162 : Epoch  5, Batch    808, Loss  0.869227, Average Loss  0.870121, Time  0.447233
2021-09-25 07:56:46.959009 : Epoch  5, Batch    475, Loss  0.881093, Average Loss  0.868891, Time  0.447401
2021-09-25 07:56:52.033781 : Epoch  5, Batch    809, Loss  0.868470, Average Loss  0.870124, Time  0.445194
2021-09-25 07:56:52.986936 : Epoch  5, Batch    476, Loss  0.869071, Average Loss  0.868878, Time  0.445017
2021-09-25 07:56:58.143653 : Epoch  5, Batch    810, Loss  0.880330, Average Loss  0.870283, Time  0.445944
2021-09-25 07:56:58.997241 : Epoch  5, Batch    477, Loss  0.873427, Average Loss  0.868884, Time  0.443993
2021-09-25 07:57:04.242933 : Epoch  5, Batch    811, Loss  0.869509, Average Loss  0.870284, Time  0.445814
2021-09-25 07:57:05.003467 : Epoch  5, Batch    478, Loss  0.856456, Average Loss  0.868787, Time  0.443633
2021-09-25 07:57:10.350154 : Epoch  5, Batch    812, Loss  0.870420, Average Loss  0.870279, Time  0.447653
2021-09-25 07:57:11.000944 : Epoch  5, Batch    479, Loss  0.867027, Average Loss  0.868835, Time  0.444258
2021-09-25 07:57:16.474537 : Epoch  5, Batch    813, Loss  0.873189, Average Loss  0.870251, Time  0.458900
2021-09-25 07:57:17.018396 : Epoch  5, Batch    480, Loss  0.873836, Average Loss  0.868800, Time  0.451198
2021-09-25 07:57:22.583608 : Epoch  5, Batch    814, Loss  0.880898, Average Loss  0.870294, Time  0.445885
2021-09-25 07:57:23.072131 : Epoch  5, Batch    481, Loss  0.870302, Average Loss  0.868797, Time  0.456103
2021-09-25 07:57:28.692614 : Epoch  5, Batch    815, Loss  0.872363, Average Loss  0.870343, Time  0.444841
2021-09-25 07:57:29.080554 : Epoch  5, Batch    482, Loss  0.866368, Average Loss  0.868698, Time  0.447521
2021-09-25 07:57:34.811118 : Epoch  5, Batch    816, Loss  0.876541, Average Loss  0.870386, Time  0.446177
2021-09-25 07:57:35.120809 : Epoch  5, Batch    483, Loss  0.864178, Average Loss  0.868716, Time  0.444369
2021-09-25 07:57:40.917673 : Epoch  5, Batch    817, Loss  0.866927, Average Loss  0.870371, Time  0.449357
2021-09-25 07:57:41.132535 : Epoch  5, Batch    484, Loss  0.861875, Average Loss  0.868708, Time  0.444576
2021-09-25 07:57:47.009183 : Epoch  5, Batch    818, Loss  0.869705, Average Loss  0.870288, Time  0.446587
2021-09-25 07:57:47.135474 : Epoch  5, Batch    485, Loss  0.884855, Average Loss  0.868823, Time  0.447320
2021-09-25 07:57:53.124458 : Epoch  5, Batch    819, Loss  0.883105, Average Loss  0.870374, Time  0.445979
2021-09-25 07:57:53.153579 : Epoch  5, Batch    486, Loss  0.877486, Average Loss  0.868959, Time  0.445939
2021-09-25 07:57:59.176154 : Epoch  5, Batch    487, Loss  0.874419, Average Loss  0.868991, Time  0.445130
2021-09-25 07:57:59.230329 : Epoch  5, Batch    820, Loss  0.867828, Average Loss  0.870309, Time  0.445896
2021-09-25 07:58:05.230851 : Epoch  5, Batch    488, Loss  0.872393, Average Loss  0.869093, Time  0.463766
2021-09-25 07:58:05.343558 : Epoch  5, Batch    821, Loss  0.879373, Average Loss  0.870291, Time  0.455623
2021-09-25 07:58:11.452793 : Epoch  5, Batch    822, Loss  0.860901, Average Loss  0.870233, Time  0.450011
2021-09-25 07:58:17.570469 : Epoch  5, Batch    823, Loss  0.863394, Average Loss  0.870257, Time  0.447228
2021-09-25 07:58:23.694807 : Epoch  5, Batch    824, Loss  0.873255, Average Loss  0.870272, Time  0.445150
2021-09-25 07:58:29.807239 : Epoch  5, Batch    825, Loss  0.879017, Average Loss  0.870297, Time  0.445146
2021-09-25 07:58:35.927320 : Epoch  5, Batch    826, Loss  0.865057, Average Loss  0.870267, Time  0.448891
2021-09-25 07:58:42.032141 : Epoch  5, Batch    827, Loss  0.864105, Average Loss  0.870275, Time  0.449604
2021-09-25 07:58:48.143747 : Epoch  5, Batch    828, Loss  0.861490, Average Loss  0.870318, Time  0.451598
2021-09-25 07:58:54.245871 : Epoch  5, Batch    829, Loss  0.867834, Average Loss  0.870245, Time  0.445817
2021-09-25 07:59:00.348928 : Epoch  5, Batch    830, Loss  0.880717, Average Loss  0.870311, Time  0.444635
2021-09-25 07:59:06.465462 : Epoch  5, Batch    831, Loss  0.871168, Average Loss  0.870329, Time  0.444473
2021-09-25 07:59:12.558655 : Epoch  5, Batch    832, Loss  0.878198, Average Loss  0.870411, Time  0.445364
2021-09-25 07:59:18.661138 : Epoch  5, Batch    833, Loss  0.860133, Average Loss  0.870353, Time  0.445349
2021-09-25 07:59:24.760377 : Epoch  5, Batch    834, Loss  0.874742, Average Loss  0.870332, Time  0.445837
2021-09-25 07:59:30.884808 : Epoch  5, Batch    835, Loss  0.872579, Average Loss  0.870327, Time  0.445046
2021-09-25 07:59:37.004159 : Epoch  5, Batch    836, Loss  0.870942, Average Loss  0.870339, Time  0.459882
2021-09-25 07:59:43.104894 : Epoch  5, Batch    837, Loss  0.869208, Average Loss  0.870311, Time  0.450541
2021-09-25 07:59:49.217801 : Epoch  5, Batch    838, Loss  0.872683, Average Loss  0.870251, Time  0.447439
2021-09-25 07:59:55.329252 : Epoch  5, Batch    839, Loss  0.870689, Average Loss  0.870279, Time  0.445517
2021-09-25 08:00:01.449397 : Epoch  5, Batch    840, Loss  0.861588, Average Loss  0.870234, Time  0.451384
2021-09-25 08:00:07.548982 : Epoch  5, Batch    841, Loss  0.860276, Average Loss  0.870156, Time  0.445397
2021-09-25 08:00:13.653507 : Epoch  5, Batch    842, Loss  0.872761, Average Loss  0.870181, Time  0.446369
2021-09-25 08:00:19.781827 : Epoch  5, Batch    843, Loss  0.867271, Average Loss  0.870177, Time  0.463676
2021-09-25 08:00:25.894573 : Epoch  5, Batch    844, Loss  0.875686, Average Loss  0.870254, Time  0.448104
2021-09-25 08:00:32.007414 : Epoch  5, Batch    845, Loss  0.865108, Average Loss  0.870230, Time  0.446892
2021-09-25 08:00:38.110472 : Epoch  5, Batch    846, Loss  0.868390, Average Loss  0.870170, Time  0.445175
2021-09-25 08:00:44.217916 : Epoch  5, Batch    847, Loss  0.862978, Average Loss  0.870113, Time  0.447563
2021-09-25 08:00:50.336943 : Epoch  5, Batch    848, Loss  0.870683, Average Loss  0.870108, Time  0.445000
2021-09-25 08:00:56.428258 : Epoch  5, Batch    849, Loss  0.845924, Average Loss  0.869932, Time  0.444983
2021-09-25 08:01:02.521774 : Epoch  5, Batch    850, Loss  0.865563, Average Loss  0.869871, Time  0.445330
2021-09-25 08:01:08.628750 : Epoch  5, Batch    851, Loss  0.859832, Average Loss  0.869751, Time  0.455980
2021-09-25 08:01:14.717987 : Epoch  5, Batch    852, Loss  0.866549, Average Loss  0.869721, Time  0.446800
2021-09-25 08:01:20.835878 : Epoch  5, Batch    853, Loss  0.871574, Average Loss  0.869737, Time  0.454213
2021-09-25 08:01:26.937666 : Epoch  5, Batch    854, Loss  0.868964, Average Loss  0.869728, Time  0.445199
2021-09-25 08:01:33.045539 : Epoch  5, Batch    855, Loss  0.867392, Average Loss  0.869818, Time  0.445295
2021-09-25 08:01:39.172734 : Epoch  5, Batch    856, Loss  0.874868, Average Loss  0.869813, Time  0.445358
2021-09-25 08:01:45.289116 : Epoch  5, Batch    857, Loss  0.877504, Average Loss  0.869821, Time  0.449264
2021-09-25 08:01:51.405925 : Epoch  5, Batch    858, Loss  0.860922, Average Loss  0.869801, Time  0.457015
2021-09-25 08:01:57.517016 : Epoch  5, Batch    859, Loss  0.851834, Average Loss  0.869756, Time  0.445368
2021-09-25 08:02:03.612917 : Epoch  5, Batch    860, Loss  0.871076, Average Loss  0.869756, Time  0.448019
2021-09-25 08:02:09.719403 : Epoch  5, Batch    861, Loss  0.876154, Average Loss  0.869812, Time  0.444910
2021-09-25 08:02:15.831385 : Epoch  5, Batch    862, Loss  0.876507, Average Loss  0.869891, Time  0.445439
2021-09-25 08:02:21.956704 : Epoch  5, Batch    863, Loss  0.882750, Average Loss  0.869908, Time  0.446334
2021-09-25 08:02:28.061071 : Epoch  5, Batch    864, Loss  0.887424, Average Loss  0.869965, Time  0.448915
2021-09-25 08:02:34.187360 : Epoch  5, Batch    865, Loss  0.870465, Average Loss  0.869910, Time  0.447530
2021-09-25 08:02:40.305990 : Epoch  5, Batch    866, Loss  0.876791, Average Loss  0.869903, Time  0.460390
2021-09-25 08:02:46.413504 : Epoch  5, Batch    867, Loss  0.864695, Average Loss  0.869860, Time  0.445826
2021-09-25 08:02:52.526911 : Epoch  5, Batch    868, Loss  0.873717, Average Loss  0.869883, Time  0.445263
2021-09-25 08:02:57.836270 : CheckPoint: Validation Loss  0.00014871, Best Loss  0.00014852
2021-09-25 08:02:58.627062 : Epoch  5, Batch    869, Loss  0.886458, Average Loss  0.870008, Time  0.444915
2021-09-25 08:03:03.851376 : Epoch  5, Batch    489, Loss  0.851969, Average Loss  0.869011, Time  0.446110
2021-09-25 08:03:04.734043 : Epoch  5, Batch    870, Loss  0.869484, Average Loss  0.870003, Time  0.446841
2021-09-25 08:03:09.874517 : Epoch  5, Batch    490, Loss  0.875020, Average Loss  0.869106, Time  0.443931
2021-09-25 08:03:10.835370 : Epoch  5, Batch    871, Loss  0.872567, Average Loss  0.870018, Time  0.444834
2021-09-25 08:03:15.888495 : Epoch  5, Batch    491, Loss  0.888771, Average Loss  0.869185, Time  0.444678
2021-09-25 08:03:16.941838 : Epoch  5, Batch    872, Loss  0.872572, Average Loss  0.870000, Time  0.444199
2021-09-25 08:03:21.933968 : Epoch  5, Batch    492, Loss  0.878585, Average Loss  0.869272, Time  0.450811
2021-09-25 08:03:23.043728 : Epoch  5, Batch    873, Loss  0.877790, Average Loss  0.870024, Time  0.454709
2021-09-25 08:03:27.966635 : Epoch  5, Batch    493, Loss  0.853698, Average Loss  0.869201, Time  0.460767
2021-09-25 08:03:29.137574 : Epoch  5, Batch    874, Loss  0.861215, Average Loss  0.870029, Time  0.447346
2021-09-25 08:03:33.976073 : Epoch  5, Batch    494, Loss  0.859945, Average Loss  0.869192, Time  0.445102
2021-09-25 08:03:35.218405 : Epoch  5, Batch    875, Loss  0.864341, Average Loss  0.869985, Time  0.445580
2021-09-25 08:03:40.000109 : Epoch  5, Batch    495, Loss  0.868284, Average Loss  0.869084, Time  0.444469
2021-09-25 08:03:41.315045 : Epoch  5, Batch    876, Loss  0.875490, Average Loss  0.870015, Time  0.445684
2021-09-25 08:03:46.034550 : Epoch  5, Batch    496, Loss  0.876307, Average Loss  0.869081, Time  0.447610
2021-09-25 08:03:47.433903 : Epoch  5, Batch    877, Loss  0.860221, Average Loss  0.869952, Time  0.454756
2021-09-25 08:03:52.072868 : Epoch  5, Batch    497, Loss  0.862626, Average Loss  0.869007, Time  0.447440
2021-09-25 08:03:53.533838 : Epoch  5, Batch    878, Loss  0.873617, Average Loss  0.869998, Time  0.447347
2021-09-25 08:03:58.083108 : Epoch  5, Batch    498, Loss  0.866413, Average Loss  0.869036, Time  0.446285
2021-09-25 08:03:59.661109 : Epoch  5, Batch    879, Loss  0.867019, Average Loss  0.869986, Time  0.445391
2021-09-25 08:04:04.089433 : Epoch  5, Batch    499, Loss  0.879600, Average Loss  0.869075, Time  0.445801
2021-09-25 08:04:05.783227 : Epoch  5, Batch    880, Loss  0.865937, Average Loss  0.869974, Time  0.447778
2021-09-25 08:04:10.126548 : Epoch  5, Batch    500, Loss  0.874054, Average Loss  0.869169, Time  0.456022
2021-09-25 08:04:11.898424 : Epoch  5, Batch    881, Loss  0.871918, Average Loss  0.870001, Time  0.460033
2021-09-25 08:04:16.148987 : Epoch  5, Batch    501, Loss  0.873049, Average Loss  0.869178, Time  0.444884
2021-09-25 08:04:18.009731 : Epoch  5, Batch    882, Loss  0.873030, Average Loss  0.870027, Time  0.446104
2021-09-25 08:04:22.168853 : Epoch  5, Batch    502, Loss  0.874023, Average Loss  0.869199, Time  0.444794
2021-09-25 08:04:24.119603 : Epoch  5, Batch    883, Loss  0.874256, Average Loss  0.870026, Time  0.447023
2021-09-25 08:04:28.203632 : Epoch  5, Batch    503, Loss  0.879968, Average Loss  0.869285, Time  0.447085
2021-09-25 08:04:30.240288 : Epoch  5, Batch    884, Loss  0.856024, Average Loss  0.869965, Time  0.452485
2021-09-25 08:04:34.235022 : Epoch  5, Batch    504, Loss  0.868984, Average Loss  0.869310, Time  0.446269
2021-09-25 08:04:36.342251 : Epoch  5, Batch    885, Loss  0.875714, Average Loss  0.869965, Time  0.449724
2021-09-25 08:04:40.247467 : Epoch  5, Batch    505, Loss  0.878297, Average Loss  0.869305, Time  0.444087
2021-09-25 08:04:42.455797 : Epoch  5, Batch    886, Loss  0.868533, Average Loss  0.870005, Time  0.447315
2021-09-25 08:04:46.268286 : Epoch  5, Batch    506, Loss  0.845786, Average Loss  0.869132, Time  0.446321
2021-09-25 08:04:48.564416 : Epoch  5, Batch    887, Loss  0.873206, Average Loss  0.869980, Time  0.447705
2021-09-25 08:04:52.323567 : Epoch  5, Batch    507, Loss  0.883951, Average Loss  0.869303, Time  0.447161
2021-09-25 08:04:54.672115 : Epoch  5, Batch    888, Loss  0.879086, Average Loss  0.870048, Time  0.460718
2021-09-25 08:04:58.401448 : Epoch  5, Batch    508, Loss  0.874202, Average Loss  0.869222, Time  0.464498
2021-09-25 08:05:04.435900 : Epoch  5, Batch    509, Loss  0.864337, Average Loss  0.869152, Time  0.443994
2021-09-25 08:05:10.459440 : Epoch  5, Batch    510, Loss  0.861842, Average Loss  0.869084, Time  0.445376
2021-09-25 08:05:16.522724 : Epoch  5, Batch    511, Loss  0.862751, Average Loss  0.869075, Time  0.450971
2021-09-25 08:05:22.544205 : Epoch  5, Batch    512, Loss  0.867073, Average Loss  0.869081, Time  0.445224
2021-09-25 08:05:28.536223 : Epoch  5, Batch    513, Loss  0.866763, Average Loss  0.869098, Time  0.446179
2021-09-25 08:05:34.551968 : Epoch  5, Batch    514, Loss  0.876440, Average Loss  0.869060, Time  0.446422
2021-09-25 08:05:40.582741 : Epoch  5, Batch    515, Loss  0.876049, Average Loss  0.869157, Time  0.454484
2021-09-25 08:05:46.618924 : Epoch  5, Batch    516, Loss  0.868238, Average Loss  0.869146, Time  0.454812
2021-09-25 08:05:52.651553 : Epoch  5, Batch    517, Loss  0.855399, Average Loss  0.869094, Time  0.446269
2021-09-25 08:05:58.675946 : Epoch  5, Batch    518, Loss  0.856870, Average Loss  0.869083, Time  0.444715
2021-09-25 08:06:04.702447 : Epoch  5, Batch    519, Loss  0.873686, Average Loss  0.869041, Time  0.444184
2021-09-25 08:06:10.719190 : Epoch  5, Batch    520, Loss  0.867572, Average Loss  0.868966, Time  0.446997
2021-09-25 08:06:16.746511 : Epoch  5, Batch    521, Loss  0.863830, Average Loss  0.868964, Time  0.452170
2021-09-25 08:06:22.809902 : Epoch  5, Batch    522, Loss  0.873874, Average Loss  0.868919, Time  0.449545
2021-09-25 08:06:28.864937 : Epoch  5, Batch    523, Loss  0.874495, Average Loss  0.868980, Time  0.454530
2021-09-25 08:06:34.880397 : Epoch  5, Batch    524, Loss  0.860595, Average Loss  0.868977, Time  0.446824
2021-09-25 08:06:40.906021 : Epoch  5, Batch    525, Loss  0.861112, Average Loss  0.868904, Time  0.444052
2021-09-25 08:06:46.929635 : Epoch  5, Batch    526, Loss  0.881869, Average Loss  0.868974, Time  0.443748
2021-09-25 08:06:52.960986 : Epoch  5, Batch    527, Loss  0.859318, Average Loss  0.869005, Time  0.446980
2021-09-25 08:06:58.981896 : Epoch  5, Batch    528, Loss  0.882685, Average Loss  0.869016, Time  0.446921
2021-09-25 08:07:04.999775 : Epoch  5, Batch    529, Loss  0.870068, Average Loss  0.868997, Time  0.444113
2021-09-25 08:07:11.034942 : Epoch  5, Batch    530, Loss  0.856260, Average Loss  0.869081, Time  0.462286
2021-09-25 08:07:17.029471 : Epoch  5, Batch    531, Loss  0.858569, Average Loss  0.868986, Time  0.445901
2021-09-25 08:07:23.057249 : Epoch  5, Batch    532, Loss  0.867967, Average Loss  0.869006, Time  0.444992
2021-09-25 08:07:29.096029 : Epoch  5, Batch    533, Loss  0.865350, Average Loss  0.868954, Time  0.448500
2021-09-25 08:07:35.099528 : Epoch  5, Batch    534, Loss  0.871521, Average Loss  0.868990, Time  0.447833
2021-09-25 08:07:41.118762 : Epoch  5, Batch    535, Loss  0.870147, Average Loss  0.869004, Time  0.445897
2021-09-25 08:07:47.150222 : Epoch  5, Batch    536, Loss  0.865795, Average Loss  0.869016, Time  0.445184
2021-09-25 08:07:53.177884 : Epoch  5, Batch    537, Loss  0.868843, Average Loss  0.869045, Time  0.444810
2021-09-25 08:07:59.202959 : Epoch  5, Batch    538, Loss  0.866337, Average Loss  0.868977, Time  0.459118
2021-09-25 08:08:05.197812 : Epoch  5, Batch    539, Loss  0.862733, Average Loss  0.868919, Time  0.444257
2021-09-25 08:08:11.226238 : Epoch  5, Batch    540, Loss  0.880292, Average Loss  0.868939, Time  0.444839
2021-09-25 08:08:17.257894 : Epoch  5, Batch    541, Loss  0.866000, Average Loss  0.868903, Time  0.450340
2021-09-25 08:08:23.289330 : Epoch  5, Batch    542, Loss  0.885000, Average Loss  0.868984, Time  0.444611
2021-09-25 08:08:29.310762 : Epoch  5, Batch    543, Loss  0.885205, Average Loss  0.869041, Time  0.445762
2021-09-25 08:08:35.323515 : Epoch  5, Batch    544, Loss  0.865051, Average Loss  0.868944, Time  0.448131
2021-09-25 08:08:41.361369 : Epoch  5, Batch    545, Loss  0.871241, Average Loss  0.868898, Time  0.455926
2021-09-25 08:08:47.367260 : Epoch  5, Batch    546, Loss  0.853145, Average Loss  0.868853, Time  0.444823
2021-09-25 08:08:53.405343 : Epoch  5, Batch    547, Loss  0.869567, Average Loss  0.868859, Time  0.444360
2021-09-25 08:08:59.417852 : Epoch  5, Batch    548, Loss  0.879927, Average Loss  0.868891, Time  0.446363
2021-09-25 08:09:05.446967 : Epoch  5, Batch    549, Loss  0.879049, Average Loss  0.868948, Time  0.444205
2021-09-25 08:09:11.471799 : Epoch  5, Batch    550, Loss  0.888692, Average Loss  0.869023, Time  0.445708
2021-09-25 08:09:17.495649 : Epoch  5, Batch    551, Loss  0.876659, Average Loss  0.869093, Time  0.445145
2021-09-25 08:09:23.504083 : Epoch  5, Batch    552, Loss  0.869915, Average Loss  0.869099, Time  0.445310
2021-09-25 08:09:29.515184 : Epoch  5, Batch    553, Loss  0.885674, Average Loss  0.869254, Time  0.457421
2021-09-25 08:09:35.539838 : Epoch  5, Batch    554, Loss  0.871348, Average Loss  0.869313, Time  0.446389
2021-09-25 08:09:37.930187 : CheckPoint: Validation Loss  0.00015308, Best Loss  0.00014804
2021-09-25 08:09:41.562281 : Epoch  5, Batch    555, Loss  0.867246, Average Loss  0.869346, Time  0.444594
2021-09-25 08:09:44.035978 : Epoch  5, Batch    889, Loss  0.871939, Average Loss  0.870037, Time  0.445101
2021-09-25 08:09:47.545887 : Epoch  5, Batch    556, Loss  0.863899, Average Loss  0.869308, Time  0.444182
2021-09-25 08:09:50.138739 : Epoch  5, Batch    890, Loss  0.866526, Average Loss  0.870010, Time  0.444991
2021-09-25 08:09:53.561713 : Epoch  5, Batch    557, Loss  0.884565, Average Loss  0.869339, Time  0.445040
2021-09-25 08:09:56.255538 : Epoch  5, Batch    891, Loss  0.861696, Average Loss  0.870003, Time  0.445174
2021-09-25 08:09:59.596730 : Epoch  5, Batch    558, Loss  0.876971, Average Loss  0.869429, Time  0.452503
2021-09-25 08:10:02.369616 : Epoch  5, Batch    892, Loss  0.874192, Average Loss  0.870034, Time  0.447041
2021-09-25 08:10:05.627833 : Epoch  5, Batch    559, Loss  0.875087, Average Loss  0.869463, Time  0.446762
2021-09-25 08:10:08.483614 : Epoch  5, Batch    893, Loss  0.855046, Average Loss  0.869934, Time  0.444965
2021-09-25 08:10:11.656395 : Epoch  5, Batch    560, Loss  0.871212, Average Loss  0.869557, Time  0.453020
2021-09-25 08:10:14.606299 : Epoch  5, Batch    894, Loss  0.852973, Average Loss  0.869808, Time  0.457370
2021-09-25 08:10:17.683831 : Epoch  5, Batch    561, Loss  0.865352, Average Loss  0.869502, Time  0.447905
2021-09-25 08:10:20.727899 : Epoch  5, Batch    895, Loss  0.875924, Average Loss  0.869913, Time  0.446252
2021-09-25 08:10:23.702555 : Epoch  5, Batch    562, Loss  0.863323, Average Loss  0.869491, Time  0.445525
2021-09-25 08:10:26.851222 : Epoch  5, Batch    896, Loss  0.862166, Average Loss  0.869899, Time  0.446371
2021-09-25 08:10:29.731892 : Epoch  5, Batch    563, Loss  0.865190, Average Loss  0.869401, Time  0.446176
2021-09-25 08:10:32.955138 : Epoch  5, Batch    897, Loss  0.886103, Average Loss  0.869918, Time  0.444678
2021-09-25 08:10:35.743487 : Epoch  5, Batch    564, Loss  0.887782, Average Loss  0.869490, Time  0.445113
2021-09-25 08:10:39.086077 : Epoch  5, Batch    898, Loss  0.866719, Average Loss  0.869962, Time  0.445267
2021-09-25 08:10:41.763992 : Epoch  5, Batch    565, Loss  0.879961, Average Loss  0.869561, Time  0.446235
2021-09-25 08:10:45.203732 : Epoch  5, Batch    899, Loss  0.892769, Average Loss  0.870045, Time  0.444978
2021-09-25 08:10:47.766687 : Epoch  5, Batch    566, Loss  0.872694, Average Loss  0.869650, Time  0.444898
2021-09-25 08:10:51.331891 : Epoch  5, Batch    900, Loss  0.877345, Average Loss  0.870093, Time  0.451498
2021-09-25 08:10:53.793672 : Epoch  5, Batch    567, Loss  0.866341, Average Loss  0.869628, Time  0.443404
2021-09-25 08:10:57.452425 : Epoch  5, Batch    901, Loss  0.865721, Average Loss  0.870005, Time  0.445461
2021-09-25 08:10:59.798640 : Epoch  5, Batch    568, Loss  0.873548, Average Loss  0.869736, Time  0.451859
2021-09-25 08:11:03.600520 : Epoch  5, Batch    902, Loss  0.878745, Average Loss  0.869961, Time  0.454948
2021-09-25 08:11:05.827344 : Epoch  5, Batch    569, Loss  0.887060, Average Loss  0.869775, Time  0.446076
2021-09-25 08:11:09.726129 : Epoch  5, Batch    903, Loss  0.878195, Average Loss  0.870009, Time  0.444920
2021-09-25 08:11:11.850031 : Epoch  5, Batch    570, Loss  0.876948, Average Loss  0.869826, Time  0.449643
2021-09-25 08:11:15.838109 : Epoch  5, Batch    904, Loss  0.871335, Average Loss  0.869965, Time  0.445409
2021-09-25 08:11:17.884095 : Epoch  5, Batch    571, Loss  0.880336, Average Loss  0.869799, Time  0.446435
2021-09-25 08:11:21.948520 : Epoch  5, Batch    905, Loss  0.877166, Average Loss  0.870002, Time  0.446978
2021-09-25 08:11:23.901546 : Epoch  5, Batch    572, Loss  0.873274, Average Loss  0.869855, Time  0.444434
2021-09-25 08:11:28.062305 : Epoch  5, Batch    906, Loss  0.867465, Average Loss  0.869958, Time  0.445703
2021-09-25 08:11:29.907868 : Epoch  5, Batch    573, Loss  0.865739, Average Loss  0.869836, Time  0.447789
2021-09-25 08:11:34.193669 : Epoch  5, Batch    907, Loss  0.859034, Average Loss  0.869809, Time  0.448381
2021-09-25 08:11:35.924131 : Epoch  5, Batch    574, Loss  0.865342, Average Loss  0.869835, Time  0.445704
2021-09-25 08:11:40.321139 : Epoch  5, Batch    908, Loss  0.864771, Average Loss  0.869779, Time  0.444946
2021-09-25 08:11:41.947151 : Epoch  5, Batch    575, Loss  0.858326, Average Loss  0.869785, Time  0.444412
2021-09-25 08:11:46.447821 : Epoch  5, Batch    909, Loss  0.876044, Average Loss  0.869842, Time  0.462598
2021-09-25 08:11:47.977924 : Epoch  5, Batch    576, Loss  0.869287, Average Loss  0.869789, Time  0.459914
2021-09-25 08:11:52.581506 : Epoch  5, Batch    910, Loss  0.874581, Average Loss  0.869868, Time  0.445904
2021-09-25 08:11:53.999438 : Epoch  5, Batch    577, Loss  0.895797, Average Loss  0.869910, Time  0.444542
2021-09-25 08:11:58.685651 : Epoch  5, Batch    911, Loss  0.870419, Average Loss  0.869932, Time  0.447858
2021-09-25 08:12:00.013865 : Epoch  5, Batch    578, Loss  0.895491, Average Loss  0.870061, Time  0.444263
2021-09-25 08:12:04.814024 : Epoch  5, Batch    912, Loss  0.869298, Average Loss  0.869894, Time  0.444788
2021-09-25 08:12:06.022871 : Epoch  5, Batch    579, Loss  0.873903, Average Loss  0.870124, Time  0.444881
2021-09-25 08:12:10.924499 : Epoch  5, Batch    913, Loss  0.861556, Average Loss  0.869887, Time  0.453041
2021-09-25 08:12:12.057632 : Epoch  5, Batch    580, Loss  0.851061, Average Loss  0.870028, Time  0.446440
2021-09-25 08:12:17.042798 : Epoch  5, Batch    914, Loss  0.871657, Average Loss  0.869867, Time  0.447238
2021-09-25 08:12:18.078013 : Epoch  5, Batch    581, Loss  0.857485, Average Loss  0.869947, Time  0.445842
2021-09-25 08:12:23.168748 : Epoch  5, Batch    915, Loss  0.862514, Average Loss  0.869841, Time  0.445940
2021-09-25 08:12:24.087485 : Epoch  5, Batch    582, Loss  0.867994, Average Loss  0.869954, Time  0.445464
2021-09-25 08:12:29.290984 : Epoch  5, Batch    916, Loss  0.872548, Average Loss  0.869902, Time  0.445655
2021-09-25 08:12:30.128095 : Epoch  5, Batch    583, Loss  0.875536, Average Loss  0.869925, Time  0.462690
2021-09-25 08:12:35.429081 : Epoch  5, Batch    917, Loss  0.877362, Average Loss  0.869922, Time  0.461396
2021-09-25 08:12:36.139661 : Epoch  5, Batch    584, Loss  0.878134, Average Loss  0.869984, Time  0.445410
2021-09-25 08:12:41.554383 : Epoch  5, Batch    918, Loss  0.865409, Average Loss  0.869902, Time  0.449787
2021-09-25 08:12:42.146616 : Epoch  5, Batch    585, Loss  0.883689, Average Loss  0.869991, Time  0.451639
2021-09-25 08:12:47.677707 : Epoch  5, Batch    919, Loss  0.864675, Average Loss  0.869838, Time  0.445471
2021-09-25 08:12:48.165179 : Epoch  5, Batch    586, Loss  0.879094, Average Loss  0.869997, Time  0.444395
2021-09-25 08:12:53.793273 : Epoch  5, Batch    920, Loss  0.868089, Average Loss  0.869753, Time  0.445096
2021-09-25 08:12:54.190216 : Epoch  5, Batch    587, Loss  0.863766, Average Loss  0.869901, Time  0.445148
2021-09-25 08:12:59.912692 : Epoch  5, Batch    921, Loss  0.864461, Average Loss  0.869740, Time  0.445438
2021-09-25 08:13:00.181125 : Epoch  5, Batch    588, Loss  0.872055, Average Loss  0.869889, Time  0.444764
2021-09-25 08:13:06.035936 : Epoch  5, Batch    922, Loss  0.866908, Average Loss  0.869705, Time  0.446412
2021-09-25 08:13:12.164627 : Epoch  5, Batch    923, Loss  0.877144, Average Loss  0.869772, Time  0.448305
2021-09-25 08:13:18.300074 : Epoch  5, Batch    924, Loss  0.864890, Average Loss  0.869758, Time  0.456434
2021-09-25 08:13:24.424237 : Epoch  5, Batch    925, Loss  0.869175, Average Loss  0.869790, Time  0.445368
2021-09-25 08:13:30.544161 : Epoch  5, Batch    926, Loss  0.881484, Average Loss  0.869888, Time  0.445579
2021-09-25 08:13:36.674052 : Epoch  5, Batch    927, Loss  0.860452, Average Loss  0.869864, Time  0.445238
2021-09-25 08:13:42.792894 : Epoch  5, Batch    928, Loss  0.852830, Average Loss  0.869780, Time  0.445594
2021-09-25 08:13:42.828368 : Saving Model after 5-th Epoch.
2021-09-25 08:13:43.640937 : Epoch Finished.
2021-09-25 08:13:49.309318 : Batch Shuffled
2021-09-25 08:13:55.427609 : Epoch  6, Batch      1, Loss  0.869636, Average Loss  0.869762, Time  0.447211
2021-09-25 08:14:01.523031 : Epoch  6, Batch      2, Loss  0.883859, Average Loss  0.869898, Time  0.446048
2021-09-25 08:14:07.632078 : Epoch  6, Batch      3, Loss  0.871278, Average Loss  0.869847, Time  0.454016
2021-09-25 08:14:13.748709 : Epoch  6, Batch      4, Loss  0.868540, Average Loss  0.869868, Time  0.445861
2021-09-25 08:14:19.865461 : Epoch  6, Batch      5, Loss  0.872167, Average Loss  0.869910, Time  0.445738
2021-09-25 08:14:25.945740 : Epoch  6, Batch      6, Loss  0.870296, Average Loss  0.869842, Time  0.445283
2021-09-25 08:14:32.052683 : Epoch  6, Batch      7, Loss  0.882553, Average Loss  0.869893, Time  0.447656
2021-09-25 08:14:38.149827 : Epoch  6, Batch      8, Loss  0.870374, Average Loss  0.869909, Time  0.445423
2021-09-25 08:14:44.254523 : Epoch  6, Batch      9, Loss  0.869525, Average Loss  0.869881, Time  0.445101
2021-09-25 08:14:50.403143 : Epoch  6, Batch     10, Loss  0.866403, Average Loss  0.869822, Time  0.456417
2021-09-25 08:14:56.493937 : Epoch  6, Batch     11, Loss  0.867072, Average Loss  0.869808, Time  0.446872
2021-09-25 08:15:02.592799 : Epoch  6, Batch     12, Loss  0.882918, Average Loss  0.869882, Time  0.445152
2021-09-25 08:15:08.706454 : Epoch  6, Batch     13, Loss  0.863414, Average Loss  0.869812, Time  0.445464
2021-09-25 08:15:14.857655 : Epoch  6, Batch     14, Loss  0.873895, Average Loss  0.869801, Time  0.448141
2021-09-25 08:15:20.950774 : Epoch  6, Batch     15, Loss  0.844271, Average Loss  0.869673, Time  0.446094
2021-09-25 08:15:27.057898 : Epoch  6, Batch     16, Loss  0.868398, Average Loss  0.869662, Time  0.445949
2021-09-25 08:15:33.162174 : Epoch  6, Batch     17, Loss  0.864980, Average Loss  0.869535, Time  0.446864
2021-09-25 08:15:39.279201 : Epoch  6, Batch     18, Loss  0.879497, Average Loss  0.869552, Time  0.460122
2021-09-25 08:15:45.368763 : Epoch  6, Batch     19, Loss  0.851017, Average Loss  0.869492, Time  0.445111
2021-09-25 08:15:51.474499 : Epoch  6, Batch     20, Loss  0.853211, Average Loss  0.869450, Time  0.444848
2021-09-25 08:15:57.556949 : Epoch  6, Batch     21, Loss  0.854255, Average Loss  0.869438, Time  0.445059
2021-09-25 08:16:03.640381 : Epoch  6, Batch     22, Loss  0.866506, Average Loss  0.869438, Time  0.444714
2021-09-25 08:16:09.742125 : Epoch  6, Batch     23, Loss  0.878158, Average Loss  0.869394, Time  0.445048
2021-09-25 08:16:15.841668 : Epoch  6, Batch     24, Loss  0.857045, Average Loss  0.869356, Time  0.445487
2021-09-25 08:16:21.946280 : Epoch  6, Batch     25, Loss  0.876875, Average Loss  0.869430, Time  0.457021
2021-09-25 08:16:28.036293 : Epoch  6, Batch     26, Loss  0.880698, Average Loss  0.869400, Time  0.444618
2021-09-25 08:16:34.146313 : Epoch  6, Batch     27, Loss  0.867413, Average Loss  0.869459, Time  0.445745
2021-09-25 08:16:40.252039 : Epoch  6, Batch     28, Loss  0.852801, Average Loss  0.869342, Time  0.444426
2021-09-25 08:16:46.343229 : Epoch  6, Batch     29, Loss  0.875961, Average Loss  0.869393, Time  0.445106
2021-09-25 08:16:52.438827 : Epoch  6, Batch     30, Loss  0.865291, Average Loss  0.869362, Time  0.445034
2021-09-25 08:16:58.527178 : Epoch  6, Batch     31, Loss  0.869006, Average Loss  0.869337, Time  0.444885
2021-09-25 08:17:04.623013 : Epoch  6, Batch     32, Loss  0.889335, Average Loss  0.869477, Time  0.445430
2021-09-25 08:17:10.731434 : Epoch  6, Batch     33, Loss  0.872191, Average Loss  0.869427, Time  0.460516
2021-09-25 08:17:16.837808 : Epoch  6, Batch     34, Loss  0.875252, Average Loss  0.869495, Time  0.450085
2021-09-25 08:17:22.936803 : Epoch  6, Batch     35, Loss  0.869456, Average Loss  0.869553, Time  0.445483
2021-09-25 08:17:29.050399 : Epoch  6, Batch     36, Loss  0.875668, Average Loss  0.869604, Time  0.445361
2021-09-25 08:17:35.157847 : Epoch  6, Batch     37, Loss  0.873230, Average Loss  0.869597, Time  0.448684
2021-09-25 08:17:41.282260 : Epoch  6, Batch     38, Loss  0.883253, Average Loss  0.869697, Time  0.447593
2021-09-25 08:17:45.621509 : CheckPoint: Validation Loss  0.00014968, Best Loss  0.00014852
2021-09-25 08:17:47.410933 : Epoch  6, Batch     39, Loss  0.855217, Average Loss  0.869637, Time  0.448712
2021-09-25 08:17:51.658397 : Epoch  5, Batch    589, Loss  0.864976, Average Loss  0.869844, Time  0.462224
2021-09-25 08:17:53.536667 : Epoch  6, Batch     40, Loss  0.877485, Average Loss  0.869727, Time  0.457171
2021-09-25 08:17:57.645198 : Epoch  5, Batch    590, Loss  0.875952, Average Loss  0.869937, Time  0.445137
2021-09-25 08:17:59.648295 : Epoch  6, Batch     41, Loss  0.869638, Average Loss  0.869652, Time  0.447136
2021-09-25 08:18:03.681097 : Epoch  5, Batch    591, Loss  0.868452, Average Loss  0.869911, Time  0.461410
2021-09-25 08:18:05.746663 : Epoch  6, Batch     42, Loss  0.861813, Average Loss  0.869687, Time  0.446706
2021-09-25 08:18:09.685927 : Epoch  5, Batch    592, Loss  0.868662, Average Loss  0.869863, Time  0.447205
2021-09-25 08:18:11.846468 : Epoch  6, Batch     43, Loss  0.877493, Average Loss  0.869766, Time  0.445400
2021-09-25 08:18:15.702726 : Epoch  5, Batch    593, Loss  0.876264, Average Loss  0.869887, Time  0.447133
2021-09-25 08:18:17.958749 : Epoch  6, Batch     44, Loss  0.865450, Average Loss  0.869738, Time  0.447934
2021-09-25 08:18:21.702435 : Epoch  5, Batch    594, Loss  0.875139, Average Loss  0.869907, Time  0.446171
2021-09-25 08:18:24.065372 : Epoch  6, Batch     45, Loss  0.876706, Average Loss  0.869724, Time  0.445146
2021-09-25 08:18:27.724848 : Epoch  5, Batch    595, Loss  0.875891, Average Loss  0.869952, Time  0.454272
2021-09-25 08:18:30.167789 : Epoch  6, Batch     46, Loss  0.860552, Average Loss  0.869771, Time  0.446703
2021-09-25 08:18:33.744844 : Epoch  5, Batch    596, Loss  0.874408, Average Loss  0.869949, Time  0.446641
2021-09-25 08:18:36.283248 : Epoch  6, Batch     47, Loss  0.861473, Average Loss  0.869901, Time  0.445943
2021-09-25 08:18:39.764651 : Epoch  5, Batch    597, Loss  0.867852, Average Loss  0.869969, Time  0.461359
2021-09-25 08:18:42.374736 : Epoch  6, Batch     48, Loss  0.872777, Average Loss  0.869920, Time  0.454846
2021-09-25 08:18:45.774394 : Epoch  5, Batch    598, Loss  0.863285, Average Loss  0.869909, Time  0.448163
2021-09-25 08:18:48.478124 : Epoch  6, Batch     49, Loss  0.872111, Average Loss  0.869929, Time  0.445950
2021-09-25 08:18:51.776543 : Epoch  5, Batch    599, Loss  0.861473, Average Loss  0.869883, Time  0.444546
2021-09-25 08:18:54.575014 : Epoch  6, Batch     50, Loss  0.864036, Average Loss  0.869931, Time  0.446491
2021-09-25 08:18:57.751694 : Epoch  5, Batch    600, Loss  0.870741, Average Loss  0.869906, Time  0.445039
2021-09-25 08:19:00.664771 : Epoch  6, Batch     51, Loss  0.870289, Average Loss  0.869957, Time  0.447865
2021-09-25 08:19:03.736695 : Epoch  5, Batch    601, Loss  0.862489, Average Loss  0.869916, Time  0.445088
2021-09-25 08:19:06.747453 : Epoch  6, Batch     52, Loss  0.874080, Average Loss  0.870042, Time  0.445248
2021-09-25 08:19:09.748676 : Epoch  5, Batch    602, Loss  0.866719, Average Loss  0.869976, Time  0.445815
2021-09-25 08:19:12.844354 : Epoch  6, Batch     53, Loss  0.874889, Average Loss  0.870091, Time  0.451182
2021-09-25 08:19:15.749150 : Epoch  5, Batch    603, Loss  0.883944, Average Loss  0.869990, Time  0.445554
2021-09-25 08:19:18.951943 : Epoch  6, Batch     54, Loss  0.867587, Average Loss  0.870105, Time  0.448957
2021-09-25 08:19:21.751119 : Epoch  5, Batch    604, Loss  0.881215, Average Loss  0.870004, Time  0.445103
2021-09-25 08:19:25.057302 : Epoch  6, Batch     55, Loss  0.869368, Average Loss  0.870117, Time  0.464827
2021-09-25 08:19:27.783258 : Epoch  5, Batch    605, Loss  0.857749, Average Loss  0.869915, Time  0.456932
2021-09-25 08:19:31.149720 : Epoch  6, Batch     56, Loss  0.880790, Average Loss  0.870154, Time  0.445853
2021-09-25 08:19:33.772711 : Epoch  5, Batch    606, Loss  0.866619, Average Loss  0.869867, Time  0.445563
2021-09-25 08:19:37.254824 : Epoch  6, Batch     57, Loss  0.860389, Average Loss  0.870087, Time  0.445627
2021-09-25 08:19:39.796881 : Epoch  5, Batch    607, Loss  0.873050, Average Loss  0.869828, Time  0.456176
2021-09-25 08:19:43.352829 : Epoch  6, Batch     58, Loss  0.868274, Average Loss  0.870032, Time  0.445257
2021-09-25 08:19:45.785211 : Epoch  5, Batch    608, Loss  0.873783, Average Loss  0.869906, Time  0.445370
2021-09-25 08:19:49.439220 : Epoch  6, Batch     59, Loss  0.876052, Average Loss  0.870033, Time  0.447735
2021-09-25 08:19:51.787287 : Epoch  5, Batch    609, Loss  0.879197, Average Loss  0.869942, Time  0.444265
2021-09-25 08:19:55.551679 : Epoch  6, Batch     60, Loss  0.857292, Average Loss  0.869954, Time  0.447352
2021-09-25 08:19:57.766104 : Epoch  5, Batch    610, Loss  0.884234, Average Loss  0.870065, Time  0.445751
2021-09-25 08:20:03.771458 : Epoch  5, Batch    611, Loss  0.869632, Average Loss  0.870090, Time  0.446492
2021-09-25 08:20:09.788990 : Epoch  5, Batch    612, Loss  0.871302, Average Loss  0.870137, Time  0.446318
2021-09-25 08:20:15.799308 : Epoch  5, Batch    613, Loss  0.872403, Average Loss  0.870145, Time  0.456987
2021-09-25 08:20:21.797581 : Epoch  5, Batch    614, Loss  0.878971, Average Loss  0.870207, Time  0.445040
2021-09-25 08:20:27.785322 : Epoch  5, Batch    615, Loss  0.862210, Average Loss  0.870214, Time  0.444201
2021-09-25 08:20:33.790672 : Epoch  5, Batch    616, Loss  0.867183, Average Loss  0.870191, Time  0.446064
2021-09-25 08:20:39.779866 : Epoch  5, Batch    617, Loss  0.854740, Average Loss  0.870080, Time  0.444952
2021-09-25 08:20:45.773993 : Epoch  5, Batch    618, Loss  0.858814, Average Loss  0.870080, Time  0.453607
2021-09-25 08:20:51.778489 : Epoch  5, Batch    619, Loss  0.878812, Average Loss  0.870179, Time  0.446338
2021-09-25 08:20:57.790074 : Epoch  5, Batch    620, Loss  0.877496, Average Loss  0.870249, Time  0.445523
2021-09-25 08:21:03.782031 : Epoch  5, Batch    621, Loss  0.854704, Average Loss  0.870169, Time  0.451005
2021-09-25 08:21:09.783832 : Epoch  5, Batch    622, Loss  0.868647, Average Loss  0.870130, Time  0.444854
2021-09-25 08:21:15.804318 : Epoch  5, Batch    623, Loss  0.885165, Average Loss  0.870153, Time  0.447669
2021-09-25 08:21:21.795801 : Epoch  5, Batch    624, Loss  0.885842, Average Loss  0.870278, Time  0.444830
2021-09-25 08:21:27.794284 : Epoch  5, Batch    625, Loss  0.866631, Average Loss  0.870288, Time  0.445009
2021-09-25 08:21:33.801448 : Epoch  5, Batch    626, Loss  0.879942, Average Loss  0.870350, Time  0.447378
2021-09-25 08:21:39.797863 : Epoch  5, Batch    627, Loss  0.870075, Average Loss  0.870324, Time  0.444949
2021-09-25 08:21:45.819289 : Epoch  5, Batch    628, Loss  0.878068, Average Loss  0.870502, Time  0.445210
2021-09-25 08:21:51.847429 : Epoch  5, Batch    629, Loss  0.873844, Average Loss  0.870501, Time  0.455984
2021-09-25 08:21:57.830565 : Epoch  5, Batch    630, Loss  0.865174, Average Loss  0.870454, Time  0.444731
2021-09-25 08:22:03.823484 : Epoch  5, Batch    631, Loss  0.859147, Average Loss  0.870395, Time  0.444159
2021-09-25 08:22:09.829072 : Epoch  5, Batch    632, Loss  0.871648, Average Loss  0.870424, Time  0.444412
2021-09-25 08:22:15.821427 : Epoch  5, Batch    633, Loss  0.861752, Average Loss  0.870388, Time  0.447165
2021-09-25 08:22:21.828469 : Epoch  5, Batch    634, Loss  0.876680, Average Loss  0.870504, Time  0.444138
2021-09-25 08:22:27.817802 : Epoch  5, Batch    635, Loss  0.853998, Average Loss  0.870540, Time  0.446162
2021-09-25 08:22:33.823905 : Epoch  5, Batch    636, Loss  0.859419, Average Loss  0.870501, Time  0.444660
2021-09-25 08:22:39.818778 : Epoch  5, Batch    637, Loss  0.861465, Average Loss  0.870413, Time  0.456224
2021-09-25 08:22:45.800477 : Epoch  5, Batch    638, Loss  0.865741, Average Loss  0.870353, Time  0.447287
2021-09-25 08:22:51.794485 : Epoch  5, Batch    639, Loss  0.863290, Average Loss  0.870297, Time  0.446399
2021-09-25 08:22:57.805926 : Epoch  5, Batch    640, Loss  0.860375, Average Loss  0.870237, Time  0.445535
2021-09-25 08:23:03.807717 : Epoch  5, Batch    641, Loss  0.866792, Average Loss  0.870200, Time  0.445149
2021-09-25 08:23:09.822538 : Epoch  5, Batch    642, Loss  0.866104, Average Loss  0.870185, Time  0.452945
2021-09-25 08:23:15.825526 : Epoch  5, Batch    643, Loss  0.867826, Average Loss  0.870156, Time  0.445941
2021-09-25 08:23:21.816784 : Epoch  5, Batch    644, Loss  0.862921, Average Loss  0.870131, Time  0.444741
2021-09-25 08:23:27.830356 : Epoch  5, Batch    645, Loss  0.871850, Average Loss  0.870118, Time  0.452589
2021-09-25 08:23:33.829825 : Epoch  5, Batch    646, Loss  0.879505, Average Loss  0.870225, Time  0.444719
2021-09-25 08:23:39.824611 : Epoch  5, Batch    647, Loss  0.861792, Average Loss  0.870248, Time  0.447410
2021-09-25 08:23:45.824963 : Epoch  5, Batch    648, Loss  0.891639, Average Loss  0.870507, Time  0.444219
2021-09-25 08:23:51.824324 : Epoch  5, Batch    649, Loss  0.860941, Average Loss  0.870454, Time  0.445054
2021-09-25 08:23:57.830683 : Epoch  5, Batch    650, Loss  0.866260, Average Loss  0.870426, Time  0.446837
2021-09-25 08:24:03.824089 : Epoch  5, Batch    651, Loss  0.865269, Average Loss  0.870388, Time  0.445830
2021-09-25 08:24:09.831950 : Epoch  5, Batch    652, Loss  0.870373, Average Loss  0.870393, Time  0.447189
2021-09-25 08:24:15.854932 : Epoch  5, Batch    653, Loss  0.870663, Average Loss  0.870315, Time  0.462537
2021-09-25 08:24:21.831967 : Epoch  5, Batch    654, Loss  0.854454, Average Loss  0.870181, Time  0.445351
2021-09-25 08:24:27.836844 : Epoch  5, Batch    655, Loss  0.874664, Average Loss  0.870205, Time  0.444043
2021-09-25 08:24:33.833494 : Epoch  5, Batch    656, Loss  0.874001, Average Loss  0.870238, Time  0.444414
2021-09-25 08:24:39.819956 : Epoch  5, Batch    657, Loss  0.868849, Average Loss  0.870208, Time  0.444164
2021-09-25 08:24:41.512751 : CheckPoint: Validation Loss  0.00015019, Best Loss  0.00014804
2021-09-25 08:24:45.819289 : Epoch  5, Batch    658, Loss  0.863134, Average Loss  0.870165, Time  0.444829
2021-09-25 08:24:47.630343 : Epoch  6, Batch     61, Loss  0.857401, Average Loss  0.869888, Time  0.464309
2021-09-25 08:24:51.835184 : Epoch  5, Batch    659, Loss  0.856410, Average Loss  0.870058, Time  0.451463
2021-09-25 08:24:53.796457 : Epoch  6, Batch     62, Loss  0.863472, Average Loss  0.869877, Time  0.445934
2021-09-25 08:24:57.835804 : Epoch  5, Batch    660, Loss  0.873692, Average Loss  0.870148, Time  0.446926
2021-09-25 08:24:59.949185 : Epoch  6, Batch     63, Loss  0.860914, Average Loss  0.869847, Time  0.449746
2021-09-25 08:25:03.830927 : Epoch  5, Batch    661, Loss  0.863508, Average Loss  0.870093, Time  0.459472
2021-09-25 08:25:06.118380 : Epoch  6, Batch     64, Loss  0.856625, Average Loss  0.869735, Time  0.446770
2021-09-25 08:25:09.848579 : Epoch  5, Batch    662, Loss  0.864405, Average Loss  0.870137, Time  0.446999
2021-09-25 08:25:12.287811 : Epoch  6, Batch     65, Loss  0.863998, Average Loss  0.869745, Time  0.446398
2021-09-25 08:25:15.864868 : Epoch  5, Batch    663, Loss  0.866779, Average Loss  0.870146, Time  0.445161
2021-09-25 08:25:18.461331 : Epoch  6, Batch     66, Loss  0.866223, Average Loss  0.869732, Time  0.448342
2021-09-25 08:25:21.866910 : Epoch  5, Batch    664, Loss  0.853652, Average Loss  0.870039, Time  0.445518
2021-09-25 08:25:24.636487 : Epoch  6, Batch     67, Loss  0.866213, Average Loss  0.869715, Time  0.445256
2021-09-25 08:25:27.892209 : Epoch  5, Batch    665, Loss  0.866965, Average Loss  0.870014, Time  0.456213
2021-09-25 08:25:30.803049 : Epoch  6, Batch     68, Loss  0.870671, Average Loss  0.869678, Time  0.456125
2021-09-25 08:25:33.906295 : Epoch  5, Batch    666, Loss  0.860974, Average Loss  0.870063, Time  0.446653
2021-09-25 08:25:36.964325 : Epoch  6, Batch     69, Loss  0.892587, Average Loss  0.869806, Time  0.444701
2021-09-25 08:25:39.920370 : Epoch  5, Batch    667, Loss  0.873912, Average Loss  0.870108, Time  0.447962
2021-09-25 08:25:43.126798 : Epoch  6, Batch     70, Loss  0.874553, Average Loss  0.869843, Time  0.444873
2021-09-25 08:25:45.922238 : Epoch  5, Batch    668, Loss  0.868014, Average Loss  0.870134, Time  0.446714
2021-09-25 08:25:49.280047 : Epoch  6, Batch     71, Loss  0.868185, Average Loss  0.869811, Time  0.444802
2021-09-25 08:25:51.957914 : Epoch  5, Batch    669, Loss  0.872395, Average Loss  0.870178, Time  0.462323
2021-09-25 08:25:55.438614 : Epoch  6, Batch     72, Loss  0.861257, Average Loss  0.869801, Time  0.449516
2021-09-25 08:25:57.961824 : Epoch  5, Batch    670, Loss  0.862622, Average Loss  0.870087, Time  0.444826
2021-09-25 08:26:01.591300 : Epoch  6, Batch     73, Loss  0.868944, Average Loss  0.869760, Time  0.445221
2021-09-25 08:26:03.958876 : Epoch  5, Batch    671, Loss  0.857380, Average Loss  0.869984, Time  0.445606
2021-09-25 08:26:07.729960 : Epoch  6, Batch     74, Loss  0.879184, Average Loss  0.869746, Time  0.447970
2021-09-25 08:26:09.944953 : Epoch  5, Batch    672, Loss  0.859894, Average Loss  0.869887, Time  0.444806
2021-09-25 08:26:13.886360 : Epoch  6, Batch     75, Loss  0.873533, Average Loss  0.869706, Time  0.444921
2021-09-25 08:26:15.948965 : Epoch  5, Batch    673, Loss  0.867948, Average Loss  0.869895, Time  0.448581
2021-09-25 08:26:20.063824 : Epoch  6, Batch     76, Loss  0.865264, Average Loss  0.869699, Time  0.460605
2021-09-25 08:26:21.942367 : Epoch  5, Batch    674, Loss  0.857170, Average Loss  0.869915, Time  0.444885
2021-09-25 08:26:26.222427 : Epoch  6, Batch     77, Loss  0.861518, Average Loss  0.869690, Time  0.448036
2021-09-25 08:26:27.945798 : Epoch  5, Batch    675, Loss  0.857269, Average Loss  0.869796, Time  0.444426
2021-09-25 08:26:32.375959 : Epoch  6, Batch     78, Loss  0.872337, Average Loss  0.869702, Time  0.446923
2021-09-25 08:26:33.977741 : Epoch  5, Batch    676, Loss  0.885950, Average Loss  0.869880, Time  0.457925
2021-09-25 08:26:38.533384 : Epoch  6, Batch     79, Loss  0.876653, Average Loss  0.869720, Time  0.444596
2021-09-25 08:26:39.985997 : Epoch  5, Batch    677, Loss  0.860789, Average Loss  0.869817, Time  0.445053
2021-09-25 08:26:44.686899 : Epoch  6, Batch     80, Loss  0.861801, Average Loss  0.869683, Time  0.446305
2021-09-25 08:26:46.004376 : Epoch  5, Batch    678, Loss  0.878237, Average Loss  0.869926, Time  0.447238
2021-09-25 08:26:50.845749 : Epoch  6, Batch     81, Loss  0.865726, Average Loss  0.869669, Time  0.451128
2021-09-25 08:26:52.024171 : Epoch  5, Batch    679, Loss  0.862307, Average Loss  0.869902, Time  0.444050
2021-09-25 08:26:57.021453 : Epoch  6, Batch     82, Loss  0.864566, Average Loss  0.869591, Time  0.445961
2021-09-25 08:26:58.027736 : Epoch  5, Batch    680, Loss  0.869363, Average Loss  0.869880, Time  0.446558
2021-09-25 08:27:03.189037 : Epoch  6, Batch     83, Loss  0.866407, Average Loss  0.869575, Time  0.458843
2021-09-25 08:27:04.062026 : Epoch  5, Batch    681, Loss  0.863709, Average Loss  0.869847, Time  0.450804
2021-09-25 08:27:09.334655 : Epoch  6, Batch     84, Loss  0.875802, Average Loss  0.869602, Time  0.446328
2021-09-25 08:27:10.068865 : Epoch  5, Batch    682, Loss  0.871194, Average Loss  0.869871, Time  0.448812
2021-09-25 08:27:15.488504 : Epoch  6, Batch     85, Loss  0.870995, Average Loss  0.869591, Time  0.445156
2021-09-25 08:27:16.052277 : Epoch  5, Batch    683, Loss  0.891295, Average Loss  0.870007, Time  0.444319
2021-09-25 08:27:21.623896 : Epoch  6, Batch     86, Loss  0.874209, Average Loss  0.869557, Time  0.445613
2021-09-25 08:27:22.056370 : Epoch  5, Batch    684, Loss  0.876067, Average Loss  0.870078, Time  0.457811
2021-09-25 08:27:27.770912 : Epoch  6, Batch     87, Loss  0.861051, Average Loss  0.869501, Time  0.447661
2021-09-25 08:27:28.054783 : Epoch  5, Batch    685, Loss  0.859462, Average Loss  0.869951, Time  0.447680
2021-09-25 08:27:33.925253 : Epoch  6, Batch     88, Loss  0.866296, Average Loss  0.869450, Time  0.445050
2021-09-25 08:27:34.044962 : Epoch  5, Batch    686, Loss  0.868089, Average Loss  0.869904, Time  0.444798
2021-09-25 08:27:40.029541 : Epoch  5, Batch    687, Loss  0.877439, Average Loss  0.869919, Time  0.445644
2021-09-25 08:27:40.080017 : Epoch  6, Batch     89, Loss  0.870473, Average Loss  0.869467, Time  0.444771
2021-09-25 08:27:46.028234 : Epoch  5, Batch    688, Loss  0.871377, Average Loss  0.869914, Time  0.444644
2021-09-25 08:27:46.227568 : Epoch  6, Batch     90, Loss  0.874086, Average Loss  0.869489, Time  0.445847
2021-09-25 08:27:52.399958 : Epoch  6, Batch     91, Loss  0.873289, Average Loss  0.869440, Time  0.457398
2021-09-25 08:27:58.550278 : Epoch  6, Batch     92, Loss  0.869300, Average Loss  0.869448, Time  0.445364
2021-09-25 08:28:04.723797 : Epoch  6, Batch     93, Loss  0.860899, Average Loss  0.869355, Time  0.446282
2021-09-25 08:28:10.885325 : Epoch  6, Batch     94, Loss  0.872978, Average Loss  0.869416, Time  0.454094
2021-09-25 08:28:17.039277 : Epoch  6, Batch     95, Loss  0.858341, Average Loss  0.869390, Time  0.446428
2021-09-25 08:28:23.178338 : Epoch  6, Batch     96, Loss  0.873667, Average Loss  0.869392, Time  0.448366
2021-09-25 08:28:29.331703 : Epoch  6, Batch     97, Loss  0.872608, Average Loss  0.869360, Time  0.445164
2021-09-25 08:28:35.492935 : Epoch  6, Batch     98, Loss  0.869593, Average Loss  0.869383, Time  0.453736
2021-09-25 08:28:41.653283 : Epoch  6, Batch     99, Loss  0.862744, Average Loss  0.869376, Time  0.451160
2021-09-25 08:28:47.803313 : Epoch  6, Batch    100, Loss  0.861482, Average Loss  0.869376, Time  0.446898
2021-09-25 08:28:53.956723 : Epoch  6, Batch    101, Loss  0.855079, Average Loss  0.869312, Time  0.444734
2021-09-25 08:29:00.113875 : Epoch  6, Batch    102, Loss  0.862930, Average Loss  0.869224, Time  0.446980
2021-09-25 08:29:06.268841 : Epoch  6, Batch    103, Loss  0.858512, Average Loss  0.869160, Time  0.448829
2021-09-25 08:29:12.415009 : Epoch  6, Batch    104, Loss  0.856954, Average Loss  0.869054, Time  0.445194
2021-09-25 08:29:18.604788 : Epoch  6, Batch    105, Loss  0.861616, Average Loss  0.869061, Time  0.446520
2021-09-25 08:29:24.777891 : Epoch  6, Batch    106, Loss  0.862515, Average Loss  0.869000, Time  0.460474
2021-09-25 08:29:30.951643 : Epoch  6, Batch    107, Loss  0.858111, Average Loss  0.868928, Time  0.447201
2021-09-25 08:29:37.104273 : Epoch  6, Batch    108, Loss  0.860272, Average Loss  0.868875, Time  0.446968
2021-09-25 08:29:41.583565 : Epoch  6, Batch    109, Loss  0.871756, Average Loss  0.868887, Time  0.347505
2021-09-25 08:29:47.731355 : Epoch  6, Batch    110, Loss  0.869615, Average Loss  0.868872, Time  0.445425
2021-09-25 08:29:53.868787 : Epoch  6, Batch    111, Loss  0.874269, Average Loss  0.868890, Time  0.446486
2021-09-25 08:30:00.035275 : Epoch  6, Batch    112, Loss  0.881313, Average Loss  0.868989, Time  0.445595
2021-09-25 08:30:06.183869 : Epoch  6, Batch    113, Loss  0.888457, Average Loss  0.869129, Time  0.446111
2021-09-25 08:30:12.336081 : Epoch  6, Batch    114, Loss  0.872564, Average Loss  0.869128, Time  0.459511
2021-09-25 08:30:18.480860 : Epoch  6, Batch    115, Loss  0.858428, Average Loss  0.869084, Time  0.445174
2021-09-25 08:30:24.638400 : Epoch  6, Batch    116, Loss  0.874296, Average Loss  0.869077, Time  0.445000
2021-09-25 08:30:30.773500 : Epoch  6, Batch    117, Loss  0.875712, Average Loss  0.869130, Time  0.444854
2021-09-25 08:30:36.943362 : Epoch  6, Batch    118, Loss  0.876073, Average Loss  0.869169, Time  0.445068
2021-09-25 08:30:43.082304 : Epoch  6, Batch    119, Loss  0.861190, Average Loss  0.869160, Time  0.447373
2021-09-25 08:30:49.243945 : Epoch  6, Batch    120, Loss  0.856815, Average Loss  0.869090, Time  0.444891
2021-09-25 08:30:55.435472 : Epoch  6, Batch    121, Loss  0.881752, Average Loss  0.869270, Time  0.464724
2021-09-25 08:31:01.586786 : Epoch  6, Batch    122, Loss  0.856863, Average Loss  0.869226, Time  0.445344
2021-09-25 08:31:07.733969 : Epoch  6, Batch    123, Loss  0.877335, Average Loss  0.869314, Time  0.445913
2021-09-25 08:31:13.894003 : Epoch  6, Batch    124, Loss  0.873297, Average Loss  0.869347, Time  0.445058
2021-09-25 08:31:20.041523 : Epoch  6, Batch    125, Loss  0.870492, Average Loss  0.869342, Time  0.445343
2021-09-25 08:31:26.189061 : Epoch  6, Batch    126, Loss  0.875019, Average Loss  0.869372, Time  0.445021
2021-09-25 08:31:32.360836 : Epoch  6, Batch    127, Loss  0.873762, Average Loss  0.869404, Time  0.445745
2021-09-25 08:31:38.525388 : Epoch  6, Batch    128, Loss  0.872243, Average Loss  0.869391, Time  0.445330
2021-09-25 08:31:44.689199 : Epoch  6, Batch    129, Loss  0.860972, Average Loss  0.869308, Time  0.452016
2021-09-25 08:31:50.841692 : Epoch  6, Batch    130, Loss  0.879781, Average Loss  0.869403, Time  0.445538
2021-09-25 08:31:56.998745 : Epoch  6, Batch    131, Loss  0.875571, Average Loss  0.869521, Time  0.445622
2021-09-25 08:32:03.161999 : Epoch  6, Batch    132, Loss  0.882680, Average Loss  0.869579, Time  0.446439
2021-09-25 08:32:09.328158 : Epoch  6, Batch    133, Loss  0.876861, Average Loss  0.869583, Time  0.446591
2021-09-25 08:32:15.483441 : Epoch  6, Batch    134, Loss  0.850593, Average Loss  0.869453, Time  0.445521
2021-09-25 08:32:21.638864 : Epoch  6, Batch    135, Loss  0.883317, Average Loss  0.869456, Time  0.445756
2021-09-25 08:32:27.808193 : Epoch  6, Batch    136, Loss  0.874145, Average Loss  0.869390, Time  0.455647
2021-09-25 08:32:30.314754 : CheckPoint: Validation Loss  0.00015116, Best Loss  0.00014852
2021-09-25 08:32:33.970677 : Epoch  6, Batch    137, Loss  0.872412, Average Loss  0.869399, Time  0.444728
2021-09-25 08:32:36.311138 : Epoch  5, Batch    689, Loss  0.858730, Average Loss  0.869947, Time  0.462006
2021-09-25 08:32:40.120331 : Epoch  6, Batch    138, Loss  0.872291, Average Loss  0.869377, Time  0.445364
2021-09-25 08:32:42.357433 : Epoch  5, Batch    690, Loss  0.854676, Average Loss  0.869846, Time  0.449606
2021-09-25 08:32:46.273210 : Epoch  6, Batch    139, Loss  0.880961, Average Loss  0.869458, Time  0.445387
2021-09-25 08:32:48.337763 : Epoch  5, Batch    691, Loss  0.878046, Average Loss  0.869792, Time  0.445698
2021-09-25 08:32:52.425809 : Epoch  6, Batch    140, Loss  0.861289, Average Loss  0.869396, Time  0.444826
2021-09-25 08:32:54.313881 : Epoch  5, Batch    692, Loss  0.851609, Average Loss  0.869657, Time  0.444723
2021-09-25 08:32:58.603964 : Epoch  6, Batch    141, Loss  0.901645, Average Loss  0.869472, Time  0.447592
2021-09-25 08:33:00.316208 : Epoch  5, Batch    693, Loss  0.865024, Average Loss  0.869714, Time  0.444016
2021-09-25 08:33:04.765777 : Epoch  6, Batch    142, Loss  0.870916, Average Loss  0.869479, Time  0.445136
2021-09-25 08:33:06.297795 : Epoch  5, Batch    694, Loss  0.880845, Average Loss  0.869818, Time  0.444428
2021-09-25 08:33:10.906446 : Epoch  6, Batch    143, Loss  0.878614, Average Loss  0.869509, Time  0.446468
2021-09-25 08:33:12.270105 : Epoch  5, Batch    695, Loss  0.854574, Average Loss  0.869750, Time  0.444691
2021-09-25 08:33:17.079943 : Epoch  6, Batch    144, Loss  0.870298, Average Loss  0.869498, Time  0.457002
2021-09-25 08:33:18.263729 : Epoch  5, Batch    696, Loss  0.870593, Average Loss  0.869721, Time  0.447270
2021-09-25 08:33:23.241457 : Epoch  6, Batch    145, Loss  0.860941, Average Loss  0.869414, Time  0.444353
2021-09-25 08:33:24.266521 : Epoch  5, Batch    697, Loss  0.873258, Average Loss  0.869774, Time  0.454842
2021-09-25 08:33:29.401458 : Epoch  6, Batch    146, Loss  0.885818, Average Loss  0.869537, Time  0.444721
2021-09-25 08:33:30.241684 : Epoch  5, Batch    698, Loss  0.862803, Average Loss  0.869756, Time  0.444760
2021-09-25 08:33:35.565781 : Epoch  6, Batch    147, Loss  0.846497, Average Loss  0.869448, Time  0.447061
2021-09-25 08:33:36.242274 : Epoch  5, Batch    699, Loss  0.889371, Average Loss  0.869805, Time  0.445812
2021-09-25 08:33:41.725510 : Epoch  6, Batch    148, Loss  0.882153, Average Loss  0.869481, Time  0.445083
2021-09-25 08:33:42.251532 : Epoch  5, Batch    700, Loss  0.859075, Average Loss  0.869730, Time  0.448505
2021-09-25 08:33:47.899629 : Epoch  6, Batch    149, Loss  0.877442, Average Loss  0.869567, Time  0.444521
2021-09-25 08:33:48.239590 : Epoch  5, Batch    701, Loss  0.861583, Average Loss  0.869673, Time  0.446694
2021-09-25 08:33:54.071834 : Epoch  6, Batch    150, Loss  0.868612, Average Loss  0.869542, Time  0.444873
2021-09-25 08:33:54.225015 : Epoch  5, Batch    702, Loss  0.870748, Average Loss  0.869657, Time  0.444905
2021-09-25 08:34:00.225591 : Epoch  5, Batch    703, Loss  0.869830, Average Loss  0.869606, Time  0.446110
2021-09-25 08:34:00.257893 : Epoch  6, Batch    151, Loss  0.865001, Average Loss  0.869532, Time  0.464146
2021-09-25 08:34:06.239643 : Epoch  5, Batch    704, Loss  0.871759, Average Loss  0.869620, Time  0.456660
2021-09-25 08:34:06.401055 : Epoch  6, Batch    152, Loss  0.861274, Average Loss  0.869509, Time  0.446990
2021-09-25 08:34:12.236380 : Epoch  5, Batch    705, Loss  0.863759, Average Loss  0.869547, Time  0.446892
2021-09-25 08:34:12.553898 : Epoch  6, Batch    153, Loss  0.879224, Average Loss  0.869545, Time  0.446562
2021-09-25 08:34:18.242387 : Epoch  5, Batch    706, Loss  0.878476, Average Loss  0.869711, Time  0.445979
2021-09-25 08:34:18.698181 : Epoch  6, Batch    154, Loss  0.860287, Average Loss  0.869481, Time  0.444897
2021-09-25 08:34:24.235356 : Epoch  5, Batch    707, Loss  0.880709, Average Loss  0.869694, Time  0.445357
2021-09-25 08:34:24.838793 : Epoch  6, Batch    155, Loss  0.851789, Average Loss  0.869369, Time  0.444917
2021-09-25 08:34:30.224200 : Epoch  5, Batch    708, Loss  0.869085, Average Loss  0.869669, Time  0.444966
2021-09-25 08:34:30.987641 : Epoch  6, Batch    156, Loss  0.869991, Average Loss  0.869439, Time  0.444968
2021-09-25 08:34:36.227709 : Epoch  5, Batch    709, Loss  0.875278, Average Loss  0.869724, Time  0.444641
2021-09-25 08:34:37.159766 : Epoch  6, Batch    157, Loss  0.860050, Average Loss  0.869361, Time  0.447897
2021-09-25 08:34:42.221226 : Epoch  5, Batch    710, Loss  0.878913, Average Loss  0.869809, Time  0.446563
2021-09-25 08:34:43.310720 : Epoch  6, Batch    158, Loss  0.885299, Average Loss  0.869444, Time  0.444843
2021-09-25 08:34:48.222159 : Epoch  5, Batch    711, Loss  0.881123, Average Loss  0.869901, Time  0.445451
2021-09-25 08:34:49.468454 : Epoch  6, Batch    159, Loss  0.875956, Average Loss  0.869458, Time  0.457492
2021-09-25 08:34:54.210435 : Epoch  5, Batch    712, Loss  0.861180, Average Loss  0.869871, Time  0.453094
2021-09-25 08:34:55.622411 : Epoch  6, Batch    160, Loss  0.855195, Average Loss  0.869339, Time  0.447302
2021-09-25 08:35:00.230334 : Epoch  5, Batch    713, Loss  0.866245, Average Loss  0.869869, Time  0.447442
2021-09-25 08:35:06.210852 : Epoch  5, Batch    714, Loss  0.880109, Average Loss  0.869887, Time  0.445572
2021-09-25 08:35:12.210097 : Epoch  5, Batch    715, Loss  0.879079, Average Loss  0.869902, Time  0.445146
2021-09-25 08:35:18.225843 : Epoch  5, Batch    716, Loss  0.871320, Average Loss  0.869918, Time  0.448739
2021-09-25 08:35:24.216917 : Epoch  5, Batch    717, Loss  0.864052, Average Loss  0.869961, Time  0.447011
2021-09-25 08:35:30.197538 : Epoch  5, Batch    718, Loss  0.858600, Average Loss  0.869969, Time  0.446140
2021-09-25 08:35:36.220854 : Epoch  5, Batch    719, Loss  0.867858, Average Loss  0.869940, Time  0.480160
2021-09-25 08:35:42.202358 : Epoch  5, Batch    720, Loss  0.875452, Average Loss  0.869980, Time  0.444732
2021-09-25 08:35:48.202188 : Epoch  5, Batch    721, Loss  0.883637, Average Loss  0.870079, Time  0.443622
2021-09-25 08:35:54.162077 : Epoch  5, Batch    722, Loss  0.859779, Average Loss  0.870008, Time  0.445674
2021-09-25 08:36:00.151683 : Epoch  5, Batch    723, Loss  0.874800, Average Loss  0.870010, Time  0.453360
2021-09-25 08:36:06.149636 : Epoch  5, Batch    724, Loss  0.873457, Average Loss  0.870074, Time  0.444291
2021-09-25 08:36:12.144417 : Epoch  5, Batch    725, Loss  0.881330, Average Loss  0.870175, Time  0.446024
2021-09-25 08:36:18.112078 : Epoch  5, Batch    726, Loss  0.865987, Average Loss  0.870096, Time  0.445081
2021-09-25 08:36:24.098038 : Epoch  5, Batch    727, Loss  0.862983, Average Loss  0.870114, Time  0.454998
2021-09-25 08:36:30.061958 : Epoch  5, Batch    728, Loss  0.873173, Average Loss  0.870067, Time  0.446609
2021-09-25 08:36:36.047879 : Epoch  5, Batch    729, Loss  0.868317, Average Loss  0.870058, Time  0.444812
2021-09-25 08:36:42.037230 : Epoch  5, Batch    730, Loss  0.866638, Average Loss  0.870110, Time  0.449650
2021-09-25 08:36:48.012165 : Epoch  5, Batch    731, Loss  0.867232, Average Loss  0.870153, Time  0.445559
2021-09-25 08:36:53.985579 : Epoch  5, Batch    732, Loss  0.872374, Average Loss  0.870175, Time  0.445722
2021-09-25 08:36:59.975924 : Epoch  5, Batch    733, Loss  0.886022, Average Loss  0.870278, Time  0.449107
2021-09-25 08:37:05.974882 : Epoch  5, Batch    734, Loss  0.867083, Average Loss  0.870256, Time  0.458874
2021-09-25 08:37:11.974215 : Epoch  5, Batch    735, Loss  0.850532, Average Loss  0.870158, Time  0.447857
2021-09-25 08:37:17.966644 : Epoch  5, Batch    736, Loss  0.868782, Average Loss  0.870173, Time  0.445134
2021-09-25 08:37:23.960800 : Epoch  5, Batch    737, Loss  0.860173, Average Loss  0.870130, Time  0.445906
2021-09-25 08:37:29.945858 : Epoch  5, Batch    738, Loss  0.878255, Average Loss  0.870189, Time  0.447587
2021-09-25 08:37:35.914336 : Epoch  5, Batch    739, Loss  0.871208, Average Loss  0.870232, Time  0.447726
2021-09-25 08:37:41.897349 : Epoch  5, Batch    740, Loss  0.868534, Average Loss  0.870173, Time  0.446741
2021-09-25 08:37:47.866315 : Epoch  5, Batch    741, Loss  0.871668, Average Loss  0.870201, Time  0.444367
2021-09-25 08:37:53.871043 : Epoch  5, Batch    742, Loss  0.882537, Average Loss  0.870189, Time  0.457001
2021-09-25 08:37:59.863855 : Epoch  5, Batch    743, Loss  0.870424, Average Loss  0.870115, Time  0.444245
2021-09-25 08:38:05.839357 : Epoch  5, Batch    744, Loss  0.868308, Average Loss  0.870131, Time  0.444945
2021-09-25 08:38:11.814199 : Epoch  5, Batch    745, Loss  0.851308, Average Loss  0.870032, Time  0.446249
2021-09-25 08:38:17.817606 : Epoch  5, Batch    746, Loss  0.863109, Average Loss  0.870081, Time  0.454776
2021-09-25 08:38:23.810534 : Epoch  5, Batch    747, Loss  0.863042, Average Loss  0.870049, Time  0.444340
2021-09-25 08:38:29.801227 : Epoch  5, Batch    748, Loss  0.882018, Average Loss  0.870059, Time  0.447972
2021-09-25 08:38:35.799320 : Epoch  5, Batch    749, Loss  0.859876, Average Loss  0.869963, Time  0.448584
2021-09-25 08:38:41.798515 : Epoch  5, Batch    750, Loss  0.875119, Average Loss  0.869896, Time  0.457915
2021-09-25 08:38:47.788567 : Epoch  5, Batch    751, Loss  0.867670, Average Loss  0.869851, Time  0.445257
2021-09-25 08:38:53.765827 : Epoch  5, Batch    752, Loss  0.870953, Average Loss  0.869856, Time  0.444204
2021-09-25 08:38:59.735511 : Epoch  5, Batch    753, Loss  0.857456, Average Loss  0.869715, Time  0.444794
2021-09-25 08:39:05.713610 : Epoch  5, Batch    754, Loss  0.875096, Average Loss  0.869733, Time  0.444480
2021-09-25 08:39:11.719467 : Epoch  5, Batch    755, Loss  0.878430, Average Loss  0.869789, Time  0.449247
2021-09-25 08:39:17.702068 : Epoch  5, Batch    756, Loss  0.872692, Average Loss  0.869833, Time  0.445255
2021-09-25 08:39:23.679844 : Epoch  5, Batch    757, Loss  0.884856, Average Loss  0.869835, Time  0.444472
2021-09-25 08:39:29.671981 : Epoch  5, Batch    758, Loss  0.855147, Average Loss  0.869726, Time  0.466123
2021-09-25 08:39:35.646241 : Epoch  5, Batch    759, Loss  0.878399, Average Loss  0.869742, Time  0.444501
2021-09-25 08:39:41.380913 : CheckPoint: Validation Loss  0.00015179, Best Loss  0.00014804
2021-09-25 08:39:41.640738 : Epoch  5, Batch    760, Loss  0.878222, Average Loss  0.869777, Time  0.447433
2021-09-25 08:39:47.467262 : Epoch  6, Batch    161, Loss  0.876757, Average Loss  0.869363, Time  0.446367
2021-09-25 08:39:47.600920 : Epoch  5, Batch    761, Loss  0.863838, Average Loss  0.869770, Time  0.445749
2021-09-25 08:39:53.558638 : Epoch  5, Batch    762, Loss  0.878598, Average Loss  0.869846, Time  0.444928
2021-09-25 08:39:53.629101 : Epoch  6, Batch    162, Loss  0.868771, Average Loss  0.869374, Time  0.444783
2021-09-25 08:39:59.539325 : Epoch  5, Batch    763, Loss  0.869839, Average Loss  0.869869, Time  0.445411
2021-09-25 08:39:59.790401 : Epoch  6, Batch    163, Loss  0.882627, Average Loss  0.869479, Time  0.445066
2021-09-25 08:40:05.526168 : Epoch  5, Batch    764, Loss  0.860160, Average Loss  0.869731, Time  0.445754
2021-09-25 08:40:05.924514 : Epoch  6, Batch    164, Loss  0.862279, Average Loss  0.869419, Time  0.446090
2021-09-25 08:40:11.502298 : Epoch  5, Batch    765, Loss  0.862884, Average Loss  0.869646, Time  0.445580
2021-09-25 08:40:12.081642 : Epoch  6, Batch    165, Loss  0.864492, Average Loss  0.869466, Time  0.457969
2021-09-25 08:40:17.507920 : Epoch  5, Batch    766, Loss  0.877901, Average Loss  0.869672, Time  0.461730
2021-09-25 08:40:18.257555 : Epoch  6, Batch    166, Loss  0.860707, Average Loss  0.869505, Time  0.447775
2021-09-25 08:40:23.491847 : Epoch  5, Batch    767, Loss  0.876813, Average Loss  0.869724, Time  0.444862
2021-09-25 08:40:24.428451 : Epoch  6, Batch    167, Loss  0.858890, Average Loss  0.869420, Time  0.450640
2021-09-25 08:40:29.480676 : Epoch  5, Batch    768, Loss  0.867916, Average Loss  0.869696, Time  0.446070
2021-09-25 08:40:30.558683 : Epoch  6, Batch    168, Loss  0.880612, Average Loss  0.869512, Time  0.445467
2021-09-25 08:40:35.465267 : Epoch  5, Batch    769, Loss  0.859824, Average Loss  0.869560, Time  0.445743
2021-09-25 08:40:36.709872 : Epoch  6, Batch    169, Loss  0.873723, Average Loss  0.869450, Time  0.451862
2021-09-25 08:40:41.438653 : Epoch  5, Batch    770, Loss  0.861657, Average Loss  0.869483, Time  0.446298
2021-09-25 08:40:42.853139 : Epoch  6, Batch    170, Loss  0.866571, Average Loss  0.869449, Time  0.445673
2021-09-25 08:40:47.444439 : Epoch  5, Batch    771, Loss  0.864904, Average Loss  0.869406, Time  0.447941
2021-09-25 08:40:49.001269 : Epoch  6, Batch    171, Loss  0.884285, Average Loss  0.869407, Time  0.444605
2021-09-25 08:40:53.426134 : Epoch  5, Batch    772, Loss  0.874491, Average Loss  0.869412, Time  0.444597
2021-09-25 08:40:55.172529 : Epoch  6, Batch    172, Loss  0.871382, Average Loss  0.869377, Time  0.458540
2021-09-25 08:40:59.432083 : Epoch  5, Batch    773, Loss  0.866545, Average Loss  0.869416, Time  0.459471
2021-09-25 08:41:01.340833 : Epoch  6, Batch    173, Loss  0.861294, Average Loss  0.869355, Time  0.446151
2021-09-25 08:41:05.459034 : Epoch  5, Batch    774, Loss  0.876819, Average Loss  0.869474, Time  0.448265
2021-09-25 08:41:07.519729 : Epoch  6, Batch    174, Loss  0.865723, Average Loss  0.869290, Time  0.445797
2021-09-25 08:41:11.451178 : Epoch  5, Batch    775, Loss  0.877528, Average Loss  0.869570, Time  0.445961
2021-09-25 08:41:13.684477 : Epoch  6, Batch    175, Loss  0.865193, Average Loss  0.869225, Time  0.444829
2021-09-25 08:41:17.457958 : Epoch  5, Batch    776, Loss  0.885880, Average Loss  0.869653, Time  0.459762
2021-09-25 08:41:19.846377 : Epoch  6, Batch    176, Loss  0.874230, Average Loss  0.869239, Time  0.446841
2021-09-25 08:41:23.441974 : Epoch  5, Batch    777, Loss  0.854274, Average Loss  0.869445, Time  0.446888
2021-09-25 08:41:26.009699 : Epoch  6, Batch    177, Loss  0.865576, Average Loss  0.869181, Time  0.454387
2021-09-25 08:41:29.428848 : Epoch  5, Batch    778, Loss  0.856925, Average Loss  0.869252, Time  0.456707
2021-09-25 08:41:32.169482 : Epoch  6, Batch    178, Loss  0.863163, Average Loss  0.869160, Time  0.445009
2021-09-25 08:41:35.436188 : Epoch  5, Batch    779, Loss  0.874169, Average Loss  0.869254, Time  0.447119
2021-09-25 08:41:38.332895 : Epoch  6, Batch    179, Loss  0.876653, Average Loss  0.869248, Time  0.451998
2021-09-25 08:41:41.403458 : Epoch  5, Batch    780, Loss  0.877202, Average Loss  0.869384, Time  0.445205
2021-09-25 08:41:44.498681 : Epoch  6, Batch    180, Loss  0.865072, Average Loss  0.869250, Time  0.458104
2021-09-25 08:41:47.431765 : Epoch  5, Batch    781, Loss  0.872334, Average Loss  0.869459, Time  0.459955
2021-09-25 08:41:50.658428 : Epoch  6, Batch    181, Loss  0.876090, Average Loss  0.869250, Time  0.445015
2021-09-25 08:41:53.417894 : Epoch  5, Batch    782, Loss  0.866613, Average Loss  0.869452, Time  0.444062
2021-09-25 08:41:56.810223 : Epoch  6, Batch    182, Loss  0.880327, Average Loss  0.869279, Time  0.445038
2021-09-25 08:41:59.433794 : Epoch  5, Batch    783, Loss  0.874911, Average Loss  0.869449, Time  0.451409
2021-09-25 08:42:02.967758 : Epoch  6, Batch    183, Loss  0.857516, Average Loss  0.869214, Time  0.447127
2021-09-25 08:42:05.396367 : Epoch  5, Batch    784, Loss  0.878356, Average Loss  0.869450, Time  0.444681
2021-09-25 08:42:09.125161 : Epoch  6, Batch    184, Loss  0.862838, Average Loss  0.869182, Time  0.445285
2021-09-25 08:42:11.386213 : Epoch  5, Batch    785, Loss  0.870826, Average Loss  0.869385, Time  0.444580
2021-09-25 08:42:15.274732 : Epoch  6, Batch    185, Loss  0.872781, Average Loss  0.869238, Time  0.445517
2021-09-25 08:42:17.403813 : Epoch  5, Batch    786, Loss  0.859304, Average Loss  0.869286, Time  0.447097
2021-09-25 08:42:21.425183 : Epoch  6, Batch    186, Loss  0.879372, Average Loss  0.869276, Time  0.446545
2021-09-25 08:42:23.381121 : Epoch  5, Batch    787, Loss  0.877547, Average Loss  0.869355, Time  0.444391
2021-09-25 08:42:27.591253 : Epoch  6, Batch    187, Loss  0.874276, Average Loss  0.869335, Time  0.456048
2021-09-25 08:42:29.381559 : Epoch  5, Batch    788, Loss  0.860252, Average Loss  0.869296, Time  0.458019
2021-09-25 08:42:33.763879 : Epoch  6, Batch    188, Loss  0.884461, Average Loss  0.869395, Time  0.448502
2021-09-25 08:42:39.917883 : Epoch  6, Batch    189, Loss  0.872387, Average Loss  0.869370, Time  0.445333
2021-09-25 08:42:46.071773 : Epoch  6, Batch    190, Loss  0.866587, Average Loss  0.869376, Time  0.447671
2021-09-25 08:42:52.234010 : Epoch  6, Batch    191, Loss  0.877585, Average Loss  0.869440, Time  0.446333
2021-09-25 08:42:58.388273 : Epoch  6, Batch    192, Loss  0.867477, Average Loss  0.869437, Time  0.453653
2021-09-25 08:43:04.545155 : Epoch  6, Batch    193, Loss  0.885922, Average Loss  0.869545, Time  0.445312
2021-09-25 08:43:10.687719 : Epoch  6, Batch    194, Loss  0.863539, Average Loss  0.869528, Time  0.444149
2021-09-25 08:43:16.839405 : Epoch  6, Batch    195, Loss  0.870679, Average Loss  0.869495, Time  0.460050
2021-09-25 08:43:22.979897 : Epoch  6, Batch    196, Loss  0.861307, Average Loss  0.869477, Time  0.447609
2021-09-25 08:43:29.117652 : Epoch  6, Batch    197, Loss  0.870363, Average Loss  0.869483, Time  0.445060
2021-09-25 08:43:35.274622 : Epoch  6, Batch    198, Loss  0.872063, Average Loss  0.869436, Time  0.450029
2021-09-25 08:43:41.428162 : Epoch  6, Batch    199, Loss  0.872304, Average Loss  0.869496, Time  0.444499
2021-09-25 08:43:47.587072 : Epoch  6, Batch    200, Loss  0.876685, Average Loss  0.869615, Time  0.445658
2021-09-25 08:43:53.758324 : Epoch  6, Batch    201, Loss  0.867239, Average Loss  0.869603, Time  0.445608
2021-09-25 08:43:59.927084 : Epoch  6, Batch    202, Loss  0.874255, Average Loss  0.869555, Time  0.460607
2021-09-25 08:44:06.088281 : Epoch  6, Batch    203, Loss  0.846798, Average Loss  0.869432, Time  0.446463
2021-09-25 08:44:12.258812 : Epoch  6, Batch    204, Loss  0.859685, Average Loss  0.869388, Time  0.444796
2021-09-25 08:44:18.427968 : Epoch  6, Batch    205, Loss  0.868524, Average Loss  0.869370, Time  0.444758
2021-09-25 08:44:24.598586 : Epoch  6, Batch    206, Loss  0.871922, Average Loss  0.869378, Time  0.445932
2021-09-25 08:44:30.771512 : Epoch  6, Batch    207, Loss  0.873595, Average Loss  0.869333, Time  0.445551
2021-09-25 08:44:36.938746 : Epoch  6, Batch    208, Loss  0.882025, Average Loss  0.869392, Time  0.445935
2021-09-25 08:44:43.094391 : Epoch  6, Batch    209, Loss  0.870684, Average Loss  0.869397, Time  0.445244
2021-09-25 08:44:49.254519 : Epoch  6, Batch    210, Loss  0.871263, Average Loss  0.869422, Time  0.460235
2021-09-25 08:44:55.422101 : Epoch  6, Batch    211, Loss  0.853009, Average Loss  0.869351, Time  0.450352
2021-09-25 08:45:01.586384 : Epoch  6, Batch    212, Loss  0.865446, Average Loss  0.869264, Time  0.445728
2021-09-25 08:45:07.755013 : Epoch  6, Batch    213, Loss  0.855252, Average Loss  0.869223, Time  0.450022
2021-09-25 08:45:13.923952 : Epoch  6, Batch    214, Loss  0.867100, Average Loss  0.869189, Time  0.446439
2021-09-25 08:45:20.078792 : Epoch  6, Batch    215, Loss  0.877035, Average Loss  0.869353, Time  0.444842
2021-09-25 08:45:26.226112 : Epoch  6, Batch    216, Loss  0.876344, Average Loss  0.869393, Time  0.445209
2021-09-25 08:45:32.391307 : Epoch  6, Batch    217, Loss  0.874054, Average Loss  0.869438, Time  0.458514
2021-09-25 08:45:38.571891 : Epoch  6, Batch    218, Loss  0.855687, Average Loss  0.869319, Time  0.447551
2021-09-25 08:45:44.733449 : Epoch  6, Batch    219, Loss  0.845656, Average Loss  0.869292, Time  0.446517
2021-09-25 08:45:50.893053 : Epoch  6, Batch    220, Loss  0.866352, Average Loss  0.869358, Time  0.445000
2021-09-25 08:45:57.043299 : Epoch  6, Batch    221, Loss  0.867747, Average Loss  0.869425, Time  0.446064
2021-09-25 08:46:03.193392 : Epoch  6, Batch    222, Loss  0.887220, Average Loss  0.869529, Time  0.447617
2021-09-25 08:46:09.353410 : Epoch  6, Batch    223, Loss  0.878902, Average Loss  0.869533, Time  0.445574
2021-09-25 08:46:15.502973 : Epoch  6, Batch    224, Loss  0.876323, Average Loss  0.869629, Time  0.445279
2021-09-25 08:46:21.663971 : Epoch  6, Batch    225, Loss  0.845091, Average Loss  0.869470, Time  0.459579
2021-09-25 08:46:27.817704 : Epoch  6, Batch    226, Loss  0.876372, Average Loss  0.869449, Time  0.445243
2021-09-25 08:46:33.973915 : Epoch  6, Batch    227, Loss  0.874304, Average Loss  0.869483, Time  0.454723
2021-09-25 08:46:40.130474 : Epoch  6, Batch    228, Loss  0.863713, Average Loss  0.869538, Time  0.446567
2021-09-25 08:46:46.290016 : Epoch  6, Batch    229, Loss  0.875927, Average Loss  0.869537, Time  0.446012
2021-09-25 08:46:52.447221 : Epoch  6, Batch    230, Loss  0.876802, Average Loss  0.869595, Time  0.446738
2021-09-25 08:46:58.596614 : Epoch  6, Batch    231, Loss  0.870126, Average Loss  0.869601, Time  0.444182
2021-09-25 08:47:04.770855 : Epoch  6, Batch    232, Loss  0.877648, Average Loss  0.869542, Time  0.461105
2021-09-25 08:47:10.931656 : Epoch  6, Batch    233, Loss  0.873497, Average Loss  0.869549, Time  0.445932
2021-09-25 08:47:13.566995 : CheckPoint: Validation Loss  0.00015393, Best Loss  0.00014852
2021-09-25 08:47:17.101895 : Epoch  6, Batch    234, Loss  0.860325, Average Loss  0.869474, Time  0.448536
2021-09-25 08:47:19.573899 : Epoch  5, Batch    789, Loss  0.861983, Average Loss  0.869281, Time  0.446009
2021-09-25 08:47:23.268969 : Epoch  6, Batch    235, Loss  0.856486, Average Loss  0.869409, Time  0.445887
2021-09-25 08:47:25.582220 : Epoch  5, Batch    790, Loss  0.862839, Average Loss  0.869216, Time  0.446093
2021-09-25 08:47:29.434871 : Epoch  6, Batch    236, Loss  0.873347, Average Loss  0.869398, Time  0.445763
2021-09-25 08:47:31.576211 : Epoch  5, Batch    791, Loss  0.872306, Average Loss  0.869235, Time  0.445196
2021-09-25 08:47:35.585183 : Epoch  6, Batch    237, Loss  0.868821, Average Loss  0.869376, Time  0.446063
2021-09-25 08:47:37.577468 : Epoch  5, Batch    792, Loss  0.885621, Average Loss  0.869320, Time  0.444323
2021-09-25 08:47:41.736267 : Epoch  6, Batch    238, Loss  0.871298, Average Loss  0.869316, Time  0.445177
2021-09-25 08:47:43.582963 : Epoch  5, Batch    793, Loss  0.865831, Average Loss  0.869268, Time  0.446261
2021-09-25 08:47:47.877892 : Epoch  6, Batch    239, Loss  0.867189, Average Loss  0.869376, Time  0.444768
2021-09-25 08:47:49.605531 : Epoch  5, Batch    794, Loss  0.862419, Average Loss  0.869204, Time  0.457898
2021-09-25 08:47:54.041112 : Epoch  6, Batch    240, Loss  0.879031, Average Loss  0.869383, Time  0.451607
2021-09-25 08:47:55.614320 : Epoch  5, Batch    795, Loss  0.868310, Average Loss  0.869166, Time  0.445097
2021-09-25 08:48:00.200430 : Epoch  6, Batch    241, Loss  0.872228, Average Loss  0.869396, Time  0.447407
2021-09-25 08:48:01.611008 : Epoch  5, Batch    796, Loss  0.884686, Average Loss  0.869218, Time  0.447921
2021-09-25 08:48:06.360783 : Epoch  6, Batch    242, Loss  0.851537, Average Loss  0.869345, Time  0.447548
2021-09-25 08:48:07.628775 : Epoch  5, Batch    797, Loss  0.867532, Average Loss  0.869216, Time  0.445312
2021-09-25 08:48:12.522138 : Epoch  6, Batch    243, Loss  0.865879, Average Loss  0.869287, Time  0.449592
2021-09-25 08:48:13.663330 : Epoch  5, Batch    798, Loss  0.875472, Average Loss  0.869277, Time  0.444197
2021-09-25 08:48:18.684831 : Epoch  6, Batch    244, Loss  0.878338, Average Loss  0.869351, Time  0.447982
2021-09-25 08:48:19.648892 : Epoch  5, Batch    799, Loss  0.860499, Average Loss  0.869272, Time  0.444875
2021-09-25 08:48:24.828894 : Epoch  6, Batch    245, Loss  0.867522, Average Loss  0.869305, Time  0.444942
2021-09-25 08:48:25.646661 : Epoch  5, Batch    800, Loss  0.864990, Average Loss  0.869243, Time  0.444251
2021-09-25 08:48:30.980070 : Epoch  6, Batch    246, Loss  0.886852, Average Loss  0.869437, Time  0.446184
2021-09-25 08:48:31.650854 : Epoch  5, Batch    801, Loss  0.885642, Average Loss  0.869359, Time  0.446067
2021-09-25 08:48:37.142340 : Epoch  6, Batch    247, Loss  0.856338, Average Loss  0.869411, Time  0.455454
2021-09-25 08:48:37.677458 : Epoch  5, Batch    802, Loss  0.870967, Average Loss  0.869380, Time  0.463015
2021-09-25 08:48:43.337248 : Epoch  6, Batch    248, Loss  0.858560, Average Loss  0.869340, Time  0.445798
2021-09-25 08:48:43.691373 : Epoch  5, Batch    803, Loss  0.877737, Average Loss  0.869349, Time  0.444769
2021-09-25 08:48:49.479439 : Epoch  6, Batch    249, Loss  0.863437, Average Loss  0.869297, Time  0.444834
2021-09-25 08:48:49.677802 : Epoch  5, Batch    804, Loss  0.862977, Average Loss  0.869258, Time  0.445842
2021-09-25 08:48:55.633504 : Epoch  6, Batch    250, Loss  0.866170, Average Loss  0.869307, Time  0.445177
2021-09-25 08:48:55.661319 : Epoch  5, Batch    805, Loss  0.872649, Average Loss  0.869333, Time  0.446450
2021-09-25 08:49:01.650925 : Epoch  5, Batch    806, Loss  0.861726, Average Loss  0.869308, Time  0.445361
2021-09-25 08:49:01.781205 : Epoch  6, Batch    251, Loss  0.872590, Average Loss  0.869319, Time  0.444530
2021-09-25 08:49:07.670535 : Epoch  5, Batch    807, Loss  0.870044, Average Loss  0.869293, Time  0.448031
2021-09-25 08:49:07.913396 : Epoch  6, Batch    252, Loss  0.875691, Average Loss  0.869327, Time  0.447923
2021-09-25 08:49:13.664973 : Epoch  5, Batch    808, Loss  0.866318, Average Loss  0.869256, Time  0.444841
2021-09-25 08:49:14.050543 : Epoch  6, Batch    253, Loss  0.854780, Average Loss  0.869226, Time  0.444923
2021-09-25 08:49:19.696938 : Epoch  5, Batch    809, Loss  0.872628, Average Loss  0.869223, Time  0.460262
2021-09-25 08:49:20.185577 : Epoch  6, Batch    254, Loss  0.879171, Average Loss  0.869284, Time  0.445801
2021-09-25 08:49:25.705816 : Epoch  5, Batch    810, Loss  0.874159, Average Loss  0.869173, Time  0.445022
2021-09-25 08:49:26.350858 : Epoch  6, Batch    255, Loss  0.871435, Average Loss  0.869295, Time  0.462069
2021-09-25 08:49:31.700467 : Epoch  5, Batch    811, Loss  0.882689, Average Loss  0.869238, Time  0.444581
2021-09-25 08:49:32.487377 : Epoch  6, Batch    256, Loss  0.867135, Average Loss  0.869226, Time  0.449239
2021-09-25 08:49:37.692006 : Epoch  5, Batch    812, Loss  0.867338, Average Loss  0.869218, Time  0.444406
2021-09-25 08:49:38.628217 : Epoch  6, Batch    257, Loss  0.868881, Average Loss  0.869269, Time  0.445040
2021-09-25 08:49:43.699849 : Epoch  5, Batch    813, Loss  0.880443, Average Loss  0.869258, Time  0.445390
2021-09-25 08:49:44.826229 : Epoch  6, Batch    258, Loss  0.863963, Average Loss  0.869247, Time  0.447651
2021-09-25 08:49:49.707124 : Epoch  5, Batch    814, Loss  0.871453, Average Loss  0.869221, Time  0.445564
2021-09-25 08:49:51.035812 : Epoch  6, Batch    259, Loss  0.870509, Average Loss  0.869220, Time  0.445291
2021-09-25 08:49:55.716818 : Epoch  5, Batch    815, Loss  0.872492, Average Loss  0.869272, Time  0.445057
2021-09-25 08:49:57.254131 : Epoch  6, Batch    260, Loss  0.857046, Average Loss  0.869218, Time  0.444879
2021-09-25 08:50:01.736916 : Epoch  5, Batch    816, Loss  0.863264, Average Loss  0.869252, Time  0.445976
2021-09-25 08:50:07.772766 : Epoch  5, Batch    817, Loss  0.874506, Average Loss  0.869351, Time  0.459789
2021-09-25 08:50:13.786557 : Epoch  5, Batch    818, Loss  0.856121, Average Loss  0.869338, Time  0.444861
2021-09-25 08:50:19.789948 : Epoch  5, Batch    819, Loss  0.874555, Average Loss  0.869316, Time  0.444222
2021-09-25 08:50:25.789461 : Epoch  5, Batch    820, Loss  0.865475, Average Loss  0.869256, Time  0.448789
2021-09-25 08:50:31.797928 : Epoch  5, Batch    821, Loss  0.870765, Average Loss  0.869337, Time  0.450652
2021-09-25 08:50:37.798779 : Epoch  5, Batch    822, Loss  0.857874, Average Loss  0.869283, Time  0.444483
2021-09-25 08:50:43.812307 : Epoch  5, Batch    823, Loss  0.856806, Average Loss  0.869141, Time  0.445135
2021-09-25 08:50:49.813613 : Epoch  5, Batch    824, Loss  0.872719, Average Loss  0.869075, Time  0.448224
2021-09-25 08:50:55.819897 : Epoch  5, Batch    825, Loss  0.865927, Average Loss  0.869072, Time  0.460752
2021-09-25 08:51:01.814285 : Epoch  5, Batch    826, Loss  0.877468, Average Loss  0.869060, Time  0.445279
2021-09-25 08:51:07.804736 : Epoch  5, Batch    827, Loss  0.876928, Average Loss  0.869094, Time  0.445359
2021-09-25 08:51:13.818106 : Epoch  5, Batch    828, Loss  0.880052, Average Loss  0.869104, Time  0.447012
2021-09-25 08:51:19.833753 : Epoch  5, Batch    829, Loss  0.878933, Average Loss  0.869129, Time  0.443769
2021-09-25 08:51:25.830985 : Epoch  5, Batch    830, Loss  0.879738, Average Loss  0.869202, Time  0.445819
2021-09-25 08:51:31.830490 : Epoch  5, Batch    831, Loss  0.877203, Average Loss  0.869292, Time  0.445410
2021-09-25 08:51:37.838254 : Epoch  5, Batch    832, Loss  0.871274, Average Loss  0.869290, Time  0.447988
2021-09-25 08:51:43.864099 : Epoch  5, Batch    833, Loss  0.890139, Average Loss  0.869432, Time  0.459251
2021-09-25 08:51:49.858706 : Epoch  5, Batch    834, Loss  0.858696, Average Loss  0.869342, Time  0.444819
2021-09-25 08:51:55.868712 : Epoch  5, Batch    835, Loss  0.873963, Average Loss  0.869442, Time  0.446617
2021-09-25 08:52:01.880428 : Epoch  5, Batch    836, Loss  0.866384, Average Loss  0.869477, Time  0.444574
2021-09-25 08:52:07.886113 : Epoch  5, Batch    837, Loss  0.880012, Average Loss  0.869570, Time  0.451543
2021-09-25 08:52:13.899264 : Epoch  5, Batch    838, Loss  0.871354, Average Loss  0.869598, Time  0.447972
2021-09-25 08:52:19.927949 : Epoch  5, Batch    839, Loss  0.884515, Average Loss  0.869704, Time  0.454796
2021-09-25 08:52:25.956358 : Epoch  5, Batch    840, Loss  0.858813, Average Loss  0.869696, Time  0.445915
2021-09-25 08:52:31.969737 : Epoch  5, Batch    841, Loss  0.865608, Average Loss  0.869690, Time  0.460934
2021-09-25 08:52:37.977939 : Epoch  5, Batch    842, Loss  0.874122, Average Loss  0.869730, Time  0.446907
2021-09-25 08:52:44.011373 : Epoch  5, Batch    843, Loss  0.865221, Average Loss  0.869717, Time  0.446022
2021-09-25 08:52:50.024239 : Epoch  5, Batch    844, Loss  0.872147, Average Loss  0.869763, Time  0.445164
2021-09-25 08:52:56.051482 : Epoch  5, Batch    845, Loss  0.878247, Average Loss  0.869795, Time  0.446106
2021-09-25 08:53:02.072006 : Epoch  5, Batch    846, Loss  0.865272, Average Loss  0.869724, Time  0.445960
2021-09-25 08:53:08.071264 : Epoch  5, Batch    847, Loss  0.879515, Average Loss  0.869813, Time  0.445172
2021-09-25 08:53:14.089095 : Epoch  5, Batch    848, Loss  0.879170, Average Loss  0.869751, Time  0.461312
2021-09-25 08:53:20.117748 : Epoch  5, Batch    849, Loss  0.880138, Average Loss  0.869847, Time  0.444592
2021-09-25 08:53:26.125824 : Epoch  5, Batch    850, Loss  0.863715, Average Loss  0.869834, Time  0.444744
2021-09-25 08:53:32.130298 : Epoch  5, Batch    851, Loss  0.852682, Average Loss  0.869771, Time  0.447545
2021-09-25 08:53:38.133898 : Epoch  5, Batch    852, Loss  0.879004, Average Loss  0.869814, Time  0.444601
2021-09-25 08:53:44.131781 : Epoch  5, Batch    853, Loss  0.868980, Average Loss  0.869806, Time  0.445756
2021-09-25 08:53:50.145824 : Epoch  5, Batch    854, Loss  0.862439, Average Loss  0.869846, Time  0.445371
2021-09-25 08:53:56.150056 : Epoch  5, Batch    855, Loss  0.864433, Average Loss  0.869794, Time  0.449895
2021-09-25 08:54:02.201664 : Epoch  5, Batch    856, Loss  0.865583, Average Loss  0.869752, Time  0.452487
2021-09-25 08:54:08.202790 : Epoch  5, Batch    857, Loss  0.876881, Average Loss  0.869792, Time  0.444591
2021-09-25 08:54:14.216181 : Epoch  5, Batch    858, Loss  0.874729, Average Loss  0.869850, Time  0.446749
2021-09-25 08:54:20.218659 : Epoch  5, Batch    859, Loss  0.862557, Average Loss  0.869881, Time  0.444575
2021-09-25 08:54:26.223484 : Epoch  5, Batch    860, Loss  0.867169, Average Loss  0.869849, Time  0.444508
2021-09-25 08:54:32.217670 : Epoch  5, Batch    861, Loss  0.871954, Average Loss  0.869891, Time  0.444121
2021-09-25 08:54:38.208330 : Epoch  5, Batch    862, Loss  0.875377, Average Loss  0.869946, Time  0.449358
2021-09-25 08:54:44.210452 : Epoch  5, Batch    863, Loss  0.873687, Average Loss  0.869980, Time  0.460491
2021-09-25 08:54:46.090807 : CheckPoint: Validation Loss  0.00015362, Best Loss  0.00014804
2021-09-25 08:54:50.217473 : Epoch  5, Batch    864, Loss  0.875853, Average Loss  0.870091, Time  0.446093
2021-09-25 08:54:52.313999 : Epoch  6, Batch    261, Loss  0.865334, Average Loss  0.869258, Time  0.454630
2021-09-25 08:54:56.235036 : Epoch  5, Batch    865, Loss  0.875731, Average Loss  0.870135, Time  0.446927
2021-09-25 08:54:58.426077 : Epoch  6, Batch    262, Loss  0.881860, Average Loss  0.869350, Time  0.447201
2021-09-25 08:55:02.223811 : Epoch  5, Batch    866, Loss  0.867424, Average Loss  0.870167, Time  0.444078
2021-09-25 08:55:04.526713 : Epoch  6, Batch    263, Loss  0.874632, Average Loss  0.869419, Time  0.446194
2021-09-25 08:55:08.234648 : Epoch  5, Batch    867, Loss  0.866443, Average Loss  0.870130, Time  0.445002
2021-09-25 08:55:10.646817 : Epoch  6, Batch    264, Loss  0.861010, Average Loss  0.869440, Time  0.445543
2021-09-25 08:55:14.233691 : Epoch  5, Batch    868, Loss  0.868415, Average Loss  0.870132, Time  0.449152
2021-09-25 08:55:16.764212 : Epoch  6, Batch    265, Loss  0.873525, Average Loss  0.869488, Time  0.449070
2021-09-25 08:55:20.247347 : Epoch  5, Batch    869, Loss  0.866474, Average Loss  0.870102, Time  0.448526
2021-09-25 08:55:22.867494 : Epoch  6, Batch    266, Loss  0.849265, Average Loss  0.869403, Time  0.445444
2021-09-25 08:55:26.228676 : Epoch  5, Batch    870, Loss  0.871791, Average Loss  0.870148, Time  0.444887
2021-09-25 08:55:28.974811 : Epoch  6, Batch    267, Loss  0.872225, Average Loss  0.869433, Time  0.445871
2021-09-25 08:55:32.234860 : Epoch  5, Batch    871, Loss  0.877392, Average Loss  0.870248, Time  0.455224
2021-09-25 08:55:35.080797 : Epoch  6, Batch    268, Loss  0.889926, Average Loss  0.869530, Time  0.454747
2021-09-25 08:55:38.216851 : Epoch  5, Batch    872, Loss  0.864839, Average Loss  0.870273, Time  0.444934
2021-09-25 08:55:41.170052 : Epoch  6, Batch    269, Loss  0.876120, Average Loss  0.869447, Time  0.444987
2021-09-25 08:55:44.195759 : Epoch  5, Batch    873, Loss  0.873549, Average Loss  0.870301, Time  0.447238
2021-09-25 08:55:47.273472 : Epoch  6, Batch    270, Loss  0.860058, Average Loss  0.869375, Time  0.444501
2021-09-25 08:55:50.206893 : Epoch  5, Batch    874, Loss  0.863724, Average Loss  0.870334, Time  0.446287
2021-09-25 08:55:53.366862 : Epoch  6, Batch    271, Loss  0.869906, Average Loss  0.869383, Time  0.445245
2021-09-25 08:55:56.219527 : Epoch  5, Batch    875, Loss  0.875330, Average Loss  0.870424, Time  0.445605
2021-09-25 08:55:59.471005 : Epoch  6, Batch    272, Loss  0.861549, Average Loss  0.869385, Time  0.445249
2021-09-25 08:56:02.237085 : Epoch  5, Batch    876, Loss  0.873652, Average Loss  0.870363, Time  0.444904
2021-09-25 08:56:05.581122 : Epoch  6, Batch    273, Loss  0.869062, Average Loss  0.869385, Time  0.445821
2021-09-25 08:56:08.243578 : Epoch  5, Batch    877, Loss  0.870780, Average Loss  0.870412, Time  0.444412
2021-09-25 08:56:11.694919 : Epoch  6, Batch    274, Loss  0.871711, Average Loss  0.869348, Time  0.450802
2021-09-25 08:56:14.273494 : Epoch  5, Batch    878, Loss  0.872934, Average Loss  0.870386, Time  0.459754
2021-09-25 08:56:17.801407 : Epoch  6, Batch    275, Loss  0.861300, Average Loss  0.869287, Time  0.445301
2021-09-25 08:56:20.284953 : Epoch  5, Batch    879, Loss  0.881149, Average Loss  0.870480, Time  0.444258
2021-09-25 08:56:23.915840 : Epoch  6, Batch    276, Loss  0.875246, Average Loss  0.869337, Time  0.451959
2021-09-25 08:56:26.290000 : Epoch  5, Batch    880, Loss  0.873471, Average Loss  0.870501, Time  0.445384
2021-09-25 08:56:30.015891 : Epoch  6, Batch    277, Loss  0.864792, Average Loss  0.869353, Time  0.444956
2021-09-25 08:56:32.309024 : Epoch  5, Batch    881, Loss  0.875607, Average Loss  0.870560, Time  0.449898
2021-09-25 08:56:36.117691 : Epoch  6, Batch    278, Loss  0.878017, Average Loss  0.869382, Time  0.444987
2021-09-25 08:56:38.307496 : Epoch  5, Batch    882, Loss  0.883936, Average Loss  0.870624, Time  0.445154
2021-09-25 08:56:42.221682 : Epoch  6, Batch    279, Loss  0.889046, Average Loss  0.869444, Time  0.445528
2021-09-25 08:56:44.317852 : Epoch  5, Batch    883, Loss  0.850068, Average Loss  0.870418, Time  0.447832
2021-09-25 08:56:48.323373 : Epoch  6, Batch    280, Loss  0.864531, Average Loss  0.869457, Time  0.448778
2021-09-25 08:56:50.339602 : Epoch  5, Batch    884, Loss  0.877445, Average Loss  0.870425, Time  0.447691
2021-09-25 08:56:54.426759 : Epoch  6, Batch    281, Loss  0.883699, Average Loss  0.869547, Time  0.444739
2021-09-25 08:56:56.362953 : Epoch  5, Batch    885, Loss  0.869308, Average Loss  0.870474, Time  0.445618
2021-09-25 08:57:00.533863 : Epoch  6, Batch    282, Loss  0.863454, Average Loss  0.869542, Time  0.447382
2021-09-25 08:57:02.398797 : Epoch  5, Batch    886, Loss  0.865235, Average Loss  0.870460, Time  0.462398
2021-09-25 08:57:06.650544 : Epoch  6, Batch    283, Loss  0.857147, Average Loss  0.869495, Time  0.455918
2021-09-25 08:57:08.397802 : Epoch  5, Batch    887, Loss  0.866799, Average Loss  0.870406, Time  0.445839
2021-09-25 08:57:12.747184 : Epoch  6, Batch    284, Loss  0.863464, Average Loss  0.869434, Time  0.448134
2021-09-25 08:57:14.392477 : Epoch  5, Batch    888, Loss  0.879476, Average Loss  0.870447, Time  0.444365
2021-09-25 08:57:18.868534 : Epoch  6, Batch    285, Loss  0.862836, Average Loss  0.869393, Time  0.448336
2021-09-25 08:57:24.978750 : Epoch  6, Batch    286, Loss  0.875389, Average Loss  0.869399, Time  0.446060
2021-09-25 08:57:31.075865 : Epoch  6, Batch    287, Loss  0.860615, Average Loss  0.869396, Time  0.445151
2021-09-25 08:57:37.175652 : Epoch  6, Batch    288, Loss  0.853129, Average Loss  0.869331, Time  0.445114
2021-09-25 08:57:43.289255 : Epoch  6, Batch    289, Loss  0.875077, Average Loss  0.869354, Time  0.446733
2021-09-25 08:57:49.399034 : Epoch  6, Batch    290, Loss  0.877843, Average Loss  0.869372, Time  0.445359
2021-09-25 08:57:55.521086 : Epoch  6, Batch    291, Loss  0.861312, Average Loss  0.869313, Time  0.462138
2021-09-25 08:58:01.623878 : Epoch  6, Batch    292, Loss  0.873704, Average Loss  0.869335, Time  0.445767
2021-09-25 08:58:07.750011 : Epoch  6, Batch    293, Loss  0.857285, Average Loss  0.869317, Time  0.444920
2021-09-25 08:58:13.874037 : Epoch  6, Batch    294, Loss  0.875316, Average Loss  0.869328, Time  0.446841
2021-09-25 08:58:19.993031 : Epoch  6, Batch    295, Loss  0.864276, Average Loss  0.869358, Time  0.448244
2021-09-25 08:58:26.096816 : Epoch  6, Batch    296, Loss  0.868787, Average Loss  0.869334, Time  0.448628
2021-09-25 08:58:32.175661 : Epoch  6, Batch    297, Loss  0.883605, Average Loss  0.869388, Time  0.444399
2021-09-25 08:58:38.273065 : Epoch  6, Batch    298, Loss  0.865910, Average Loss  0.869370, Time  0.451033
2021-09-25 08:58:44.376232 : Epoch  6, Batch    299, Loss  0.868163, Average Loss  0.869397, Time  0.445848
2021-09-25 08:58:50.499165 : Epoch  6, Batch    300, Loss  0.883033, Average Loss  0.869505, Time  0.445608
2021-09-25 08:58:56.582386 : Epoch  6, Batch    301, Loss  0.866035, Average Loss  0.869560, Time  0.444431
2021-09-25 08:59:02.669169 : Epoch  6, Batch    302, Loss  0.862556, Average Loss  0.869558, Time  0.445635
2021-09-25 08:59:08.772602 : Epoch  6, Batch    303, Loss  0.863175, Average Loss  0.869581, Time  0.444870
2021-09-25 08:59:14.862579 : Epoch  6, Batch    304, Loss  0.883150, Average Loss  0.869712, Time  0.445252
2021-09-25 08:59:20.963783 : Epoch  6, Batch    305, Loss  0.878112, Average Loss  0.869795, Time  0.444407
2021-09-25 08:59:27.083907 : Epoch  6, Batch    306, Loss  0.882366, Average Loss  0.869894, Time  0.454301
2021-09-25 08:59:33.206184 : Epoch  6, Batch    307, Loss  0.879940, Average Loss  0.870003, Time  0.446075
2021-09-25 08:59:39.326023 : Epoch  6, Batch    308, Loss  0.869556, Average Loss  0.870049, Time  0.452098
2021-09-25 08:59:45.429716 : Epoch  6, Batch    309, Loss  0.863626, Average Loss  0.870009, Time  0.445850
2021-09-25 08:59:51.525130 : Epoch  6, Batch    310, Loss  0.880844, Average Loss  0.870065, Time  0.445436
2021-09-25 08:59:57.641463 : Epoch  6, Batch    311, Loss  0.885647, Average Loss  0.870122, Time  0.446936
2021-09-25 09:00:03.758419 : Epoch  6, Batch    312, Loss  0.886388, Average Loss  0.870147, Time  0.446209
2021-09-25 09:00:09.863497 : Epoch  6, Batch    313, Loss  0.877700, Average Loss  0.870093, Time  0.453652
2021-09-25 09:00:15.981089 : Epoch  6, Batch    314, Loss  0.860671, Average Loss  0.870034, Time  0.445886
2021-09-25 09:00:22.076847 : Epoch  6, Batch    315, Loss  0.874707, Average Loss  0.870115, Time  0.445066
2021-09-25 09:00:28.180377 : Epoch  6, Batch    316, Loss  0.871924, Average Loss  0.870103, Time  0.445714
2021-09-25 09:00:34.288511 : Epoch  6, Batch    317, Loss  0.887210, Average Loss  0.870161, Time  0.444953
2021-09-25 09:00:40.377493 : Epoch  6, Batch    318, Loss  0.864603, Average Loss  0.870104, Time  0.445110
2021-09-25 09:00:46.480324 : Epoch  6, Batch    319, Loss  0.867262, Average Loss  0.870134, Time  0.447501
2021-09-25 09:00:52.595498 : Epoch  6, Batch    320, Loss  0.846730, Average Loss  0.870084, Time  0.445729
2021-09-25 09:00:58.707856 : Epoch  6, Batch    321, Loss  0.882618, Average Loss  0.870088, Time  0.460385
2021-09-25 09:01:04.812728 : Epoch  6, Batch    322, Loss  0.872434, Average Loss  0.870166, Time  0.445776
2021-09-25 09:01:10.925796 : Epoch  6, Batch    323, Loss  0.868507, Average Loss  0.870122, Time  0.447590
2021-09-25 09:01:17.019792 : Epoch  6, Batch    324, Loss  0.878006, Average Loss  0.870145, Time  0.445599
2021-09-25 09:01:23.113381 : Epoch  6, Batch    325, Loss  0.861342, Average Loss  0.870099, Time  0.444970
2021-09-25 09:01:29.218494 : Epoch  6, Batch    326, Loss  0.889689, Average Loss  0.870173, Time  0.448525
2021-09-25 09:01:35.342409 : Epoch  6, Batch    327, Loss  0.867561, Average Loss  0.870142, Time  0.445345
2021-09-25 09:01:41.446796 : Epoch  6, Batch    328, Loss  0.861985, Average Loss  0.870090, Time  0.454492
2021-09-25 09:01:47.550729 : Epoch  6, Batch    329, Loss  0.868580, Average Loss  0.870129, Time  0.445914
2021-09-25 09:01:53.661736 : Epoch  6, Batch    330, Loss  0.878495, Average Loss  0.870122, Time  0.446612
2021-09-25 09:01:58.373985 : CheckPoint: Validation Loss  0.00014957, Best Loss  0.00014852
2021-09-25 09:01:59.781649 : Epoch  6, Batch    331, Loss  0.866872, Average Loss  0.870079, Time  0.447012
2021-09-25 09:02:04.379392 : Epoch  5, Batch    889, Loss  0.889185, Average Loss  0.870599, Time  0.446766
2021-09-25 09:02:05.888634 : Epoch  6, Batch    332, Loss  0.870975, Average Loss  0.870020, Time  0.446745
2021-09-25 09:02:10.375075 : Epoch  5, Batch    890, Loss  0.868720, Average Loss  0.870669, Time  0.443881
2021-09-25 09:02:11.991690 : Epoch  6, Batch    333, Loss  0.879848, Average Loss  0.870035, Time  0.448480
2021-09-25 09:02:16.375397 : Epoch  5, Batch    891, Loss  0.839901, Average Loss  0.870479, Time  0.447535
2021-09-25 09:02:18.113055 : Epoch  6, Batch    334, Loss  0.856092, Average Loss  0.870062, Time  0.447806
2021-09-25 09:02:22.401571 : Epoch  5, Batch    892, Loss  0.874570, Average Loss  0.870593, Time  0.463676
2021-09-25 09:02:24.225778 : Epoch  6, Batch    335, Loss  0.860670, Average Loss  0.869949, Time  0.445110
2021-09-25 09:02:28.403803 : Epoch  5, Batch    893, Loss  0.860361, Average Loss  0.870570, Time  0.448012
2021-09-25 09:02:30.347057 : Epoch  6, Batch    336, Loss  0.873647, Average Loss  0.869947, Time  0.457757
2021-09-25 09:02:34.366331 : Epoch  5, Batch    894, Loss  0.871744, Average Loss  0.870525, Time  0.447492
2021-09-25 09:02:36.461400 : Epoch  6, Batch    337, Loss  0.875219, Average Loss  0.869961, Time  0.444770
2021-09-25 09:02:40.353339 : Epoch  5, Batch    895, Loss  0.877650, Average Loss  0.870640, Time  0.444042
2021-09-25 09:02:42.577482 : Epoch  6, Batch    338, Loss  0.874878, Average Loss  0.869974, Time  0.448692
2021-09-25 09:02:46.330802 : Epoch  5, Batch    896, Loss  0.861072, Average Loss  0.870592, Time  0.444000
2021-09-25 09:02:48.692836 : Epoch  6, Batch    339, Loss  0.855853, Average Loss  0.869848, Time  0.448407
2021-09-25 09:02:52.312565 : Epoch  5, Batch    897, Loss  0.863119, Average Loss  0.870542, Time  0.446204
2021-09-25 09:02:54.795355 : Epoch  6, Batch    340, Loss  0.864005, Average Loss  0.869862, Time  0.445549
2021-09-25 09:02:58.314300 : Epoch  5, Batch    898, Loss  0.877872, Average Loss  0.870617, Time  0.445387
2021-09-25 09:03:00.911897 : Epoch  6, Batch    341, Loss  0.884551, Average Loss  0.869776, Time  0.449301
2021-09-25 09:03:04.316939 : Epoch  5, Batch    899, Loss  0.864578, Average Loss  0.870493, Time  0.453473
2021-09-25 09:03:07.015846 : Epoch  6, Batch    342, Loss  0.873345, Average Loss  0.869788, Time  0.447310
2021-09-25 09:03:10.310193 : Epoch  5, Batch    900, Loss  0.850819, Average Loss  0.870452, Time  0.446102
2021-09-25 09:03:13.132448 : Epoch  6, Batch    343, Loss  0.872867, Average Loss  0.869760, Time  0.457349
2021-09-25 09:03:16.307514 : Epoch  5, Batch    901, Loss  0.874781, Average Loss  0.870518, Time  0.445477
2021-09-25 09:03:19.237114 : Epoch  6, Batch    344, Loss  0.867411, Average Loss  0.869745, Time  0.445661
2021-09-25 09:03:22.291592 : Epoch  5, Batch    902, Loss  0.863307, Average Loss  0.870481, Time  0.444605
2021-09-25 09:03:25.358443 : Epoch  6, Batch    345, Loss  0.870683, Average Loss  0.869794, Time  0.452169
2021-09-25 09:03:28.304762 : Epoch  5, Batch    903, Loss  0.871171, Average Loss  0.870487, Time  0.449290
2021-09-25 09:03:31.469971 : Epoch  6, Batch    346, Loss  0.866599, Average Loss  0.869698, Time  0.444995
2021-09-25 09:03:34.284040 : Epoch  5, Batch    904, Loss  0.877008, Average Loss  0.870514, Time  0.445500
2021-09-25 09:03:37.556897 : Epoch  6, Batch    347, Loss  0.869496, Average Loss  0.869813, Time  0.446094
2021-09-25 09:03:40.263579 : Epoch  5, Batch    905, Loss  0.873038, Average Loss  0.870560, Time  0.444477
2021-09-25 09:03:43.688417 : Epoch  6, Batch    348, Loss  0.855720, Average Loss  0.869681, Time  0.445791
2021-09-25 09:03:46.257898 : Epoch  5, Batch    906, Loss  0.871929, Average Loss  0.870527, Time  0.447405
2021-09-25 09:03:49.798782 : Epoch  6, Batch    349, Loss  0.866516, Average Loss  0.869626, Time  0.444798
2021-09-25 09:03:52.254469 : Epoch  5, Batch    907, Loss  0.875071, Average Loss  0.870499, Time  0.454355
2021-09-25 09:03:55.900947 : Epoch  6, Batch    350, Loss  0.869175, Average Loss  0.869629, Time  0.445961
2021-09-25 09:03:58.248443 : Epoch  5, Batch    908, Loss  0.884106, Average Loss  0.870574, Time  0.448399
2021-09-25 09:04:02.008798 : Epoch  6, Batch    351, Loss  0.871031, Average Loss  0.869659, Time  0.456476
2021-09-25 09:04:04.213890 : Epoch  5, Batch    909, Loss  0.867053, Average Loss  0.870533, Time  0.448131
2021-09-25 09:04:08.100605 : Epoch  6, Batch    352, Loss  0.872291, Average Loss  0.869714, Time  0.445551
2021-09-25 09:04:10.182500 : Epoch  5, Batch    910, Loss  0.880087, Average Loss  0.870539, Time  0.446561
2021-09-25 09:04:14.207434 : Epoch  6, Batch    353, Loss  0.866391, Average Loss  0.869650, Time  0.447118
2021-09-25 09:04:16.148909 : Epoch  5, Batch    911, Loss  0.879215, Average Loss  0.870529, Time  0.444982
2021-09-25 09:04:20.300048 : Epoch  6, Batch    354, Loss  0.853207, Average Loss  0.869615, Time  0.445543
2021-09-25 09:04:22.150526 : Epoch  5, Batch    912, Loss  0.865484, Average Loss  0.870551, Time  0.446712
2021-09-25 09:04:26.399220 : Epoch  6, Batch    355, Loss  0.873200, Average Loss  0.869722, Time  0.446010
2021-09-25 09:04:28.139820 : Epoch  5, Batch    913, Loss  0.859578, Average Loss  0.870518, Time  0.445393
2021-09-25 09:04:32.505013 : Epoch  6, Batch    356, Loss  0.859653, Average Loss  0.869670, Time  0.447392
2021-09-25 09:04:34.133054 : Epoch  5, Batch    914, Loss  0.894031, Average Loss  0.870587, Time  0.460416
2021-09-25 09:04:38.611969 : Epoch  6, Batch    357, Loss  0.855400, Average Loss  0.869647, Time  0.449846
2021-09-25 09:04:40.110756 : Epoch  5, Batch    915, Loss  0.859920, Average Loss  0.870491, Time  0.444534
2021-09-25 09:04:44.736155 : Epoch  6, Batch    358, Loss  0.880717, Average Loss  0.869624, Time  0.456770
2021-09-25 09:04:46.088827 : Epoch  5, Batch    916, Loss  0.862291, Average Loss  0.870446, Time  0.444225
2021-09-25 09:04:50.844014 : Epoch  6, Batch    359, Loss  0.869419, Average Loss  0.869591, Time  0.445264
2021-09-25 09:04:52.079506 : Epoch  5, Batch    917, Loss  0.876111, Average Loss  0.870507, Time  0.444246
2021-09-25 09:04:58.102782 : Epoch  5, Batch    918, Loss  0.878329, Average Loss  0.870605, Time  0.448162
2021-09-25 09:05:02.530661 : Epoch  6, Batch    360, Loss  0.857208, Average Loss  0.869601, Time  0.445662
2021-09-25 09:05:04.136229 : Epoch  5, Batch    919, Loss  0.885655, Average Loss  0.870694, Time  0.448637
2021-09-25 09:05:10.141795 : Epoch  5, Batch    920, Loss  0.874212, Average Loss  0.870688, Time  0.447292
2021-09-25 09:05:16.135556 : Epoch  5, Batch    921, Loss  0.878026, Average Loss  0.870660, Time  0.444272
2021-09-25 09:05:22.164157 : Epoch  5, Batch    922, Loss  0.887645, Average Loss  0.870799, Time  0.457045
2021-09-25 09:05:28.165025 : Epoch  5, Batch    923, Loss  0.857448, Average Loss  0.870712, Time  0.447503
2021-09-25 09:05:34.157892 : Epoch  5, Batch    924, Loss  0.871373, Average Loss  0.870702, Time  0.445366
2021-09-25 09:05:40.117440 : Epoch  5, Batch    925, Loss  0.877345, Average Loss  0.870682, Time  0.443662
2021-09-25 09:05:46.115356 : Epoch  5, Batch    926, Loss  0.868388, Average Loss  0.870694, Time  0.447097
2021-09-25 09:05:52.104068 : Epoch  5, Batch    927, Loss  0.867953, Average Loss  0.870719, Time  0.444514
2021-09-25 09:05:58.101903 : Epoch  5, Batch    928, Loss  0.851318, Average Loss  0.870610, Time  0.445847
2021-09-25 09:05:58.132539 : Saving Model after 5-th Epoch.
2021-09-25 09:05:58.923262 : Epoch Finished.
2021-09-25 09:06:04.824601 : Batch Shuffled
2021-09-25 09:06:10.859984 : Epoch  6, Batch      1, Loss  0.872167, Average Loss  0.870629, Time  0.465169
2021-09-25 09:06:16.871573 : Epoch  6, Batch      2, Loss  0.854554, Average Loss  0.870569, Time  0.448883
2021-09-25 09:06:22.885228 : Epoch  6, Batch      3, Loss  0.862405, Average Loss  0.870544, Time  0.444396
2021-09-25 09:06:28.906319 : Epoch  6, Batch      4, Loss  0.864146, Average Loss  0.870503, Time  0.444387
2021-09-25 09:06:34.924785 : Epoch  6, Batch      5, Loss  0.869140, Average Loss  0.870419, Time  0.445281
2021-09-25 09:06:40.936688 : Epoch  6, Batch      6, Loss  0.864453, Average Loss  0.870406, Time  0.443911
2021-09-25 09:06:46.962241 : Epoch  6, Batch      7, Loss  0.870399, Average Loss  0.870505, Time  0.449266
2021-09-25 09:06:52.994468 : Epoch  6, Batch      8, Loss  0.872164, Average Loss  0.870522, Time  0.461023
2021-09-25 09:06:59.002199 : Epoch  6, Batch      9, Loss  0.853713, Average Loss  0.870490, Time  0.444211
2021-09-25 09:07:05.008149 : Epoch  6, Batch     10, Loss  0.859824, Average Loss  0.870398, Time  0.444807
2021-09-25 09:07:11.006209 : Epoch  6, Batch     11, Loss  0.849018, Average Loss  0.870287, Time  0.450636
2021-09-25 09:07:17.013625 : Epoch  6, Batch     12, Loss  0.889541, Average Loss  0.870392, Time  0.444601
2021-09-25 09:07:23.026543 : Epoch  6, Batch     13, Loss  0.871070, Average Loss  0.870389, Time  0.444401
2021-09-25 09:07:29.016981 : Epoch  6, Batch     14, Loss  0.879080, Average Loss  0.870371, Time  0.447069
2021-09-25 09:07:35.023743 : Epoch  6, Batch     15, Loss  0.878345, Average Loss  0.870411, Time  0.444862
2021-09-25 09:07:41.023556 : Epoch  6, Batch     16, Loss  0.867658, Average Loss  0.870408, Time  0.457869
2021-09-25 09:07:47.014599 : Epoch  6, Batch     17, Loss  0.862833, Average Loss  0.870465, Time  0.444423
2021-09-25 09:07:53.022767 : Epoch  6, Batch     18, Loss  0.873489, Average Loss  0.870517, Time  0.444673
2021-09-25 09:07:59.028648 : Epoch  6, Batch     19, Loss  0.872930, Average Loss  0.870567, Time  0.443733
2021-09-25 09:08:05.054188 : Epoch  6, Batch     20, Loss  0.866615, Average Loss  0.870490, Time  0.444781
2021-09-25 09:08:11.064175 : Epoch  6, Batch     21, Loss  0.874035, Average Loss  0.870560, Time  0.448708
2021-09-25 09:08:17.079359 : Epoch  6, Batch     22, Loss  0.875645, Average Loss  0.870563, Time  0.445546
2021-09-25 09:08:23.113242 : Epoch  6, Batch     23, Loss  0.885264, Average Loss  0.870651, Time  0.459265
2021-09-25 09:08:29.114009 : Epoch  6, Batch     24, Loss  0.872180, Average Loss  0.870657, Time  0.445143
2021-09-25 09:08:35.146382 : Epoch  6, Batch     25, Loss  0.880415, Average Loss  0.870772, Time  0.448472
2021-09-25 09:08:41.156145 : Epoch  6, Batch     26, Loss  0.876918, Average Loss  0.870781, Time  0.445438
2021-09-25 09:08:47.181511 : Epoch  6, Batch     27, Loss  0.884372, Average Loss  0.870811, Time  0.445147
2021-09-25 09:08:53.210575 : Epoch  6, Batch     28, Loss  0.874238, Average Loss  0.870818, Time  0.447245
2021-09-25 09:08:59.230272 : Epoch  6, Batch     29, Loss  0.876299, Average Loss  0.870776, Time  0.444355
2021-09-25 09:09:05.230450 : Epoch  6, Batch     30, Loss  0.870001, Average Loss  0.870850, Time  0.444536
2021-09-25 09:09:11.255322 : Epoch  6, Batch     31, Loss  0.861197, Average Loss  0.870764, Time  0.458377
2021-09-25 09:09:17.266923 : Epoch  6, Batch     32, Loss  0.872323, Average Loss  0.870734, Time  0.446121
2021-09-25 09:09:23.280406 : Epoch  6, Batch     33, Loss  0.864256, Average Loss  0.870737, Time  0.444581
2021-09-25 09:09:29.292796 : Epoch  6, Batch     34, Loss  0.861141, Average Loss  0.870649, Time  0.447452
2021-09-25 09:09:35.317688 : Epoch  6, Batch     35, Loss  0.878071, Average Loss  0.870690, Time  0.443947
2021-09-25 09:09:41.332769 : Epoch  6, Batch     36, Loss  0.864853, Average Loss  0.870714, Time  0.444557
2021-09-25 09:09:47.342787 : Epoch  6, Batch     37, Loss  0.874899, Average Loss  0.870774, Time  0.444252
2021-09-25 09:09:48.744450 : CheckPoint: Validation Loss  0.00015416, Best Loss  0.00014804
2021-09-25 09:09:53.368281 : Epoch  6, Batch     38, Loss  0.866016, Average Loss  0.870715, Time  0.457242
2021-09-25 09:09:54.886399 : Epoch  6, Batch    361, Loss  0.877743, Average Loss  0.869606, Time  0.445209
2021-09-25 09:09:59.372756 : Epoch  6, Batch     39, Loss  0.878982, Average Loss  0.870725, Time  0.444079
2021-09-25 09:10:01.009277 : Epoch  6, Batch    362, Loss  0.868926, Average Loss  0.869607, Time  0.446595
2021-09-25 09:10:05.382829 : Epoch  6, Batch     40, Loss  0.876615, Average Loss  0.870769, Time  0.444590
2021-09-25 09:10:07.152183 : Epoch  6, Batch    363, Loss  0.869129, Average Loss  0.869539, Time  0.456454
2021-09-25 09:10:11.398890 : Epoch  6, Batch     41, Loss  0.873740, Average Loss  0.870838, Time  0.447777
2021-09-25 09:10:13.296758 : Epoch  6, Batch    364, Loss  0.853982, Average Loss  0.869498, Time  0.445334
2021-09-25 09:10:17.422822 : Epoch  6, Batch     42, Loss  0.859783, Average Loss  0.870829, Time  0.444991
2021-09-25 09:10:19.433093 : Epoch  6, Batch    365, Loss  0.874140, Average Loss  0.869546, Time  0.445501
2021-09-25 09:10:23.437604 : Epoch  6, Batch     43, Loss  0.872569, Average Loss  0.870867, Time  0.443905
2021-09-25 09:10:25.578795 : Epoch  6, Batch    366, Loss  0.863352, Average Loss  0.869559, Time  0.446351
2021-09-25 09:10:29.451164 : Epoch  6, Batch     44, Loss  0.867129, Average Loss  0.870831, Time  0.447143
2021-09-25 09:10:31.707662 : Epoch  6, Batch    367, Loss  0.876642, Average Loss  0.869648, Time  0.447594
2021-09-25 09:10:35.476894 : Epoch  6, Batch     45, Loss  0.870343, Average Loss  0.870850, Time  0.448166
2021-09-25 09:10:37.840006 : Epoch  6, Batch    368, Loss  0.865528, Average Loss  0.869573, Time  0.444975
2021-09-25 09:10:41.511546 : Epoch  6, Batch     46, Loss  0.871374, Average Loss  0.870822, Time  0.460350
2021-09-25 09:10:44.012887 : Epoch  6, Batch    369, Loss  0.872584, Average Loss  0.869567, Time  0.450894
2021-09-25 09:10:47.531568 : Epoch  6, Batch     47, Loss  0.853995, Average Loss  0.870705, Time  0.444029
2021-09-25 09:10:50.150715 : Epoch  6, Batch    370, Loss  0.857713, Average Loss  0.869523, Time  0.451941
2021-09-25 09:10:53.537237 : Epoch  6, Batch     48, Loss  0.875069, Average Loss  0.870651, Time  0.445467
2021-09-25 09:10:56.310012 : Epoch  6, Batch    371, Loss  0.865146, Average Loss  0.869427, Time  0.452957
2021-09-25 09:10:59.533956 : Epoch  6, Batch     49, Loss  0.889404, Average Loss  0.870826, Time  0.445971
2021-09-25 09:11:02.448430 : Epoch  6, Batch    372, Loss  0.854599, Average Loss  0.869343, Time  0.445522
2021-09-25 09:11:05.559330 : Epoch  6, Batch     50, Loss  0.865131, Average Loss  0.870867, Time  0.447235
2021-09-25 09:11:08.589891 : Epoch  6, Batch    373, Loss  0.880632, Average Loss  0.869440, Time  0.444966
2021-09-25 09:11:11.574268 : Epoch  6, Batch     51, Loss  0.877505, Average Loss  0.870884, Time  0.444532
2021-09-25 09:11:14.733985 : Epoch  6, Batch    374, Loss  0.851662, Average Loss  0.869369, Time  0.444896
2021-09-25 09:11:17.586732 : Epoch  6, Batch     52, Loss  0.878584, Average Loss  0.870891, Time  0.444132
2021-09-25 09:11:20.874833 : Epoch  6, Batch    375, Loss  0.856934, Average Loss  0.869328, Time  0.445199
2021-09-25 09:11:23.600540 : Epoch  6, Batch     53, Loss  0.864983, Average Loss  0.870854, Time  0.459252
2021-09-25 09:11:27.025065 : Epoch  6, Batch    376, Loss  0.889246, Average Loss  0.869403, Time  0.444919
2021-09-25 09:11:29.614393 : Epoch  6, Batch     54, Loss  0.883564, Average Loss  0.870939, Time  0.446021
2021-09-25 09:11:33.164218 : Epoch  6, Batch    377, Loss  0.884973, Average Loss  0.869500, Time  0.447699
2021-09-25 09:11:35.639573 : Epoch  6, Batch     55, Loss  0.881636, Average Loss  0.870973, Time  0.444158
2021-09-25 09:11:39.329041 : Epoch  6, Batch    378, Loss  0.877861, Average Loss  0.869574, Time  0.459113
2021-09-25 09:11:41.648196 : Epoch  6, Batch     56, Loss  0.863253, Average Loss  0.870897, Time  0.444456
2021-09-25 09:11:45.476177 : Epoch  6, Batch    379, Loss  0.864063, Average Loss  0.869511, Time  0.445354
2021-09-25 09:11:47.699936 : Epoch  6, Batch     57, Loss  0.873147, Average Loss  0.870909, Time  0.445518
2021-09-25 09:11:51.668100 : Epoch  6, Batch    380, Loss  0.870136, Average Loss  0.869536, Time  0.446392
2021-09-25 09:11:53.734098 : Epoch  6, Batch     58, Loss  0.860785, Average Loss  0.870916, Time  0.444354
2021-09-25 09:11:57.833189 : Epoch  6, Batch    381, Loss  0.863848, Average Loss  0.869475, Time  0.446094
2021-09-25 09:11:59.746550 : Epoch  6, Batch     59, Loss  0.878458, Average Loss  0.870921, Time  0.445868
2021-09-25 09:12:03.969797 : Epoch  6, Batch    382, Loss  0.871218, Average Loss  0.869429, Time  0.448187
2021-09-25 09:12:05.760166 : Epoch  6, Batch     60, Loss  0.867601, Average Loss  0.870957, Time  0.445559
2021-09-25 09:12:10.135869 : Epoch  6, Batch    383, Loss  0.875130, Average Loss  0.869517, Time  0.454443
2021-09-25 09:12:16.276400 : Epoch  6, Batch    384, Loss  0.873229, Average Loss  0.869569, Time  0.444832
2021-09-25 09:12:22.414620 : Epoch  6, Batch    385, Loss  0.867754, Average Loss  0.869544, Time  0.446661
2021-09-25 09:12:28.584867 : Epoch  6, Batch    386, Loss  0.875405, Average Loss  0.869524, Time  0.462756
2021-09-25 09:12:34.720691 : Epoch  6, Batch    387, Loss  0.881360, Average Loss  0.869560, Time  0.446788
2021-09-25 09:12:40.845533 : Epoch  6, Batch    388, Loss  0.871731, Average Loss  0.869496, Time  0.446385
2021-09-25 09:12:46.990799 : Epoch  6, Batch    389, Loss  0.865476, Average Loss  0.869462, Time  0.445516
2021-09-25 09:12:53.134627 : Epoch  6, Batch    390, Loss  0.876227, Average Loss  0.869510, Time  0.445535
2021-09-25 09:12:59.296940 : Epoch  6, Batch    391, Loss  0.867281, Average Loss  0.869458, Time  0.444815
2021-09-25 09:13:05.435538 : Epoch  6, Batch    392, Loss  0.863874, Average Loss  0.869440, Time  0.447439
2021-09-25 09:13:11.587510 : Epoch  6, Batch    393, Loss  0.875162, Average Loss  0.869386, Time  0.457905
2021-09-25 09:13:17.720410 : Epoch  6, Batch    394, Loss  0.858544, Average Loss  0.869362, Time  0.444828
2021-09-25 09:13:23.876862 : Epoch  6, Batch    395, Loss  0.873487, Average Loss  0.869376, Time  0.447231
2021-09-25 09:13:30.018745 : Epoch  6, Batch    396, Loss  0.878400, Average Loss  0.869461, Time  0.447698
2021-09-25 09:13:36.173768 : Epoch  6, Batch    397, Loss  0.873224, Average Loss  0.869475, Time  0.444884
2021-09-25 09:13:42.334014 : Epoch  6, Batch    398, Loss  0.875717, Average Loss  0.869494, Time  0.446964
2021-09-25 09:13:48.491819 : Epoch  6, Batch    399, Loss  0.881404, Average Loss  0.869539, Time  0.448865
2021-09-25 09:13:54.632396 : Epoch  6, Batch    400, Loss  0.867820, Average Loss  0.869495, Time  0.445146
2021-09-25 09:14:00.782185 : Epoch  6, Batch    401, Loss  0.874839, Average Loss  0.869533, Time  0.458529
2021-09-25 09:14:06.929007 : Epoch  6, Batch    402, Loss  0.865335, Average Loss  0.869488, Time  0.445744
2021-09-25 09:14:13.073407 : Epoch  6, Batch    403, Loss  0.870320, Average Loss  0.869606, Time  0.444511
2021-09-25 09:14:19.204100 : Epoch  6, Batch    404, Loss  0.865534, Average Loss  0.869635, Time  0.445435
2021-09-25 09:14:25.364570 : Epoch  6, Batch    405, Loss  0.868036, Average Loss  0.869633, Time  0.445020
2021-09-25 09:14:31.521638 : Epoch  6, Batch    406, Loss  0.868308, Average Loss  0.869615, Time  0.445597
2021-09-25 09:14:37.671131 : Epoch  6, Batch    407, Loss  0.878185, Average Loss  0.869637, Time  0.444800
2021-09-25 09:14:43.829890 : Epoch  6, Batch    408, Loss  0.885841, Average Loss  0.869657, Time  0.460325
2021-09-25 09:14:49.968464 : Epoch  6, Batch    409, Loss  0.866348, Average Loss  0.869635, Time  0.446756
2021-09-25 09:14:56.114575 : Epoch  6, Batch    410, Loss  0.872377, Average Loss  0.869640, Time  0.446465
2021-09-25 09:15:02.246667 : Epoch  6, Batch    411, Loss  0.880813, Average Loss  0.869779, Time  0.445917
2021-09-25 09:15:08.385807 : Epoch  6, Batch    412, Loss  0.869603, Average Loss  0.869800, Time  0.444782
2021-09-25 09:15:14.511220 : Epoch  6, Batch    413, Loss  0.862542, Average Loss  0.869837, Time  0.448599
2021-09-25 09:15:20.634517 : Epoch  6, Batch    414, Loss  0.871826, Average Loss  0.869860, Time  0.445345
2021-09-25 09:15:26.772687 : Epoch  6, Batch    415, Loss  0.872435, Average Loss  0.869837, Time  0.450136
2021-09-25 09:15:32.928345 : Epoch  6, Batch    416, Loss  0.874841, Average Loss  0.869830, Time  0.461872
2021-09-25 09:15:39.076279 : Epoch  6, Batch    417, Loss  0.876906, Average Loss  0.869844, Time  0.445985
2021-09-25 09:15:45.211146 : Epoch  6, Batch    418, Loss  0.878526, Average Loss  0.869958, Time  0.446062
2021-09-25 09:15:51.334420 : Epoch  6, Batch    419, Loss  0.880802, Average Loss  0.870134, Time  0.446655
2021-09-25 09:15:57.458444 : Epoch  6, Batch    420, Loss  0.866059, Average Loss  0.870133, Time  0.445561
2021-09-25 09:16:03.600071 : Epoch  6, Batch    421, Loss  0.873829, Average Loss  0.870163, Time  0.444916
2021-09-25 09:16:09.737485 : Epoch  6, Batch    422, Loss  0.864563, Average Loss  0.870050, Time  0.445337
2021-09-25 09:16:15.890880 : Epoch  6, Batch    423, Loss  0.876519, Average Loss  0.870038, Time  0.460640
2021-09-25 09:16:22.022768 : Epoch  6, Batch    424, Loss  0.881920, Average Loss  0.870066, Time  0.448432
2021-09-25 09:16:28.160675 : Epoch  6, Batch    425, Loss  0.872895, Average Loss  0.870205, Time  0.445806
2021-09-25 09:16:34.306965 : Epoch  6, Batch    426, Loss  0.879929, Average Loss  0.870223, Time  0.445033
2021-09-25 09:16:40.439682 : Epoch  6, Batch    427, Loss  0.874491, Average Loss  0.870223, Time  0.445067
2021-09-25 09:16:46.580050 : Epoch  6, Batch    428, Loss  0.869792, Average Loss  0.870254, Time  0.445324
2021-09-25 09:16:49.994971 : CheckPoint: Validation Loss  0.00015466, Best Loss  0.00014852
2021-09-25 09:16:52.728942 : Epoch  6, Batch    429, Loss  0.873643, Average Loss  0.870242, Time  0.446175
2021-09-25 09:16:56.013623 : Epoch  6, Batch     61, Loss  0.872974, Average Loss  0.871012, Time  0.446325
2021-09-25 09:16:58.846335 : Epoch  6, Batch    430, Loss  0.870498, Average Loss  0.870211, Time  0.447904
2021-09-25 09:17:02.050548 : Epoch  6, Batch     62, Loss  0.879772, Average Loss  0.871097, Time  0.447920
2021-09-25 09:17:04.990673 : Epoch  6, Batch    431, Loss  0.879366, Average Loss  0.870257, Time  0.452065
2021-09-25 09:17:08.089129 : Epoch  6, Batch     63, Loss  0.875978, Average Loss  0.871115, Time  0.448170
2021-09-25 09:17:11.137575 : Epoch  6, Batch    432, Loss  0.866250, Average Loss  0.870200, Time  0.445234
2021-09-25 09:17:14.112659 : Epoch  6, Batch     64, Loss  0.872433, Average Loss  0.871049, Time  0.444443
2021-09-25 09:17:17.276310 : Epoch  6, Batch    433, Loss  0.872516, Average Loss  0.870195, Time  0.447339
2021-09-25 09:17:20.157813 : Epoch  6, Batch     65, Loss  0.879796, Average Loss  0.871119, Time  0.444416
2021-09-25 09:17:23.410662 : Epoch  6, Batch    434, Loss  0.883671, Average Loss  0.870312, Time  0.448319
2021-09-25 09:17:26.192794 : Epoch  6, Batch     66, Loss  0.862441, Average Loss  0.871119, Time  0.446345
2021-09-25 09:17:29.549193 : Epoch  6, Batch    435, Loss  0.870304, Average Loss  0.870381, Time  0.445562
2021-09-25 09:17:32.245772 : Epoch  6, Batch     67, Loss  0.881365, Average Loss  0.871185, Time  0.459722
2021-09-25 09:17:35.682860 : Epoch  6, Batch    436, Loss  0.881260, Average Loss  0.870421, Time  0.457048
2021-09-25 09:17:38.273923 : Epoch  6, Batch     68, Loss  0.876290, Average Loss  0.871143, Time  0.444097
2021-09-25 09:17:41.814251 : Epoch  6, Batch    437, Loss  0.860377, Average Loss  0.870378, Time  0.445133
2021-09-25 09:17:44.309757 : Epoch  6, Batch     69, Loss  0.881685, Average Loss  0.871213, Time  0.449827
2021-09-25 09:17:47.947206 : Epoch  6, Batch    438, Loss  0.874125, Average Loss  0.870393, Time  0.450941
2021-09-25 09:17:50.335334 : Epoch  6, Batch     70, Loss  0.866294, Average Loss  0.871168, Time  0.445908
2021-09-25 09:17:54.081766 : Epoch  6, Batch    439, Loss  0.867351, Average Loss  0.870393, Time  0.446159
2021-09-25 09:17:56.365766 : Epoch  6, Batch     71, Loss  0.866096, Average Loss  0.871196, Time  0.444021
2021-09-25 09:18:00.206329 : Epoch  6, Batch    440, Loss  0.876256, Average Loss  0.870379, Time  0.445410
2021-09-25 09:18:02.394191 : Epoch  6, Batch     72, Loss  0.873386, Average Loss  0.871237, Time  0.447510
2021-09-25 09:18:06.358325 : Epoch  6, Batch    441, Loss  0.869654, Average Loss  0.870367, Time  0.445171
2021-09-25 09:18:08.429648 : Epoch  6, Batch     73, Loss  0.864594, Average Loss  0.871132, Time  0.447911
2021-09-25 09:18:12.500322 : Epoch  6, Batch    442, Loss  0.860488, Average Loss  0.870411, Time  0.446116
2021-09-25 09:18:14.477745 : Epoch  6, Batch     74, Loss  0.858152, Average Loss  0.871068, Time  0.453261
2021-09-25 09:18:18.668538 : Epoch  6, Batch    443, Loss  0.875390, Average Loss  0.870459, Time  0.445683
2021-09-25 09:18:20.518827 : Epoch  6, Batch     75, Loss  0.872916, Average Loss  0.871044, Time  0.445325
2021-09-25 09:18:24.810873 : Epoch  6, Batch    444, Loss  0.880970, Average Loss  0.870472, Time  0.445844
2021-09-25 09:18:26.552332 : Epoch  6, Batch     76, Loss  0.863262, Average Loss  0.871045, Time  0.445366
2021-09-25 09:18:30.950834 : Epoch  6, Batch    445, Loss  0.867916, Average Loss  0.870474, Time  0.445230
2021-09-25 09:18:32.570344 : Epoch  6, Batch     77, Loss  0.870841, Average Loss  0.871036, Time  0.444416
2021-09-25 09:18:37.108160 : Epoch  6, Batch    446, Loss  0.876794, Average Loss  0.870424, Time  0.464108
2021-09-25 09:18:38.611374 : Epoch  6, Batch     78, Loss  0.852168, Average Loss  0.870989, Time  0.445784
2021-09-25 09:18:43.246193 : Epoch  6, Batch    447, Loss  0.868797, Average Loss  0.870486, Time  0.446070
2021-09-25 09:18:44.630581 : Epoch  6, Batch     79, Loss  0.869455, Average Loss  0.870986, Time  0.445624
2021-09-25 09:18:49.369152 : Epoch  6, Batch    448, Loss  0.872800, Average Loss  0.870557, Time  0.444873
2021-09-25 09:18:50.665164 : Epoch  6, Batch     80, Loss  0.861994, Average Loss  0.870964, Time  0.444489
2021-09-25 09:18:55.530886 : Epoch  6, Batch    449, Loss  0.867232, Average Loss  0.870576, Time  0.446388
2021-09-25 09:18:56.702775 : Epoch  6, Batch     81, Loss  0.871601, Average Loss  0.870959, Time  0.445438
2021-09-25 09:19:01.666169 : Epoch  6, Batch    450, Loss  0.860347, Average Loss  0.870547, Time  0.444949
2021-09-25 09:19:02.745985 : Epoch  6, Batch     82, Loss  0.868104, Average Loss  0.870929, Time  0.454789
2021-09-25 09:19:07.800708 : Epoch  6, Batch    451, Loss  0.876705, Average Loss  0.870568, Time  0.445168
2021-09-25 09:19:08.786328 : Epoch  6, Batch     83, Loss  0.871559, Average Loss  0.870873, Time  0.444899
2021-09-25 09:19:13.947750 : Epoch  6, Batch    452, Loss  0.870575, Average Loss  0.870542, Time  0.447767
2021-09-25 09:19:14.842938 : Epoch  6, Batch     84, Loss  0.878580, Average Loss  0.870929, Time  0.445626
2021-09-25 09:19:20.096407 : Epoch  6, Batch    453, Loss  0.872078, Average Loss  0.870629, Time  0.460382
2021-09-25 09:19:20.899941 : Epoch  6, Batch     85, Loss  0.845604, Average Loss  0.870755, Time  0.449037
2021-09-25 09:19:26.246921 : Epoch  6, Batch    454, Loss  0.864851, Average Loss  0.870557, Time  0.448630
2021-09-25 09:19:26.936316 : Epoch  6, Batch     86, Loss  0.867977, Average Loss  0.870738, Time  0.447598
2021-09-25 09:19:32.394389 : Epoch  6, Batch    455, Loss  0.884462, Average Loss  0.870622, Time  0.444882
2021-09-25 09:19:32.976857 : Epoch  6, Batch     87, Loss  0.881660, Average Loss  0.870783, Time  0.448710
2021-09-25 09:19:38.512770 : Epoch  6, Batch    456, Loss  0.872330, Average Loss  0.870648, Time  0.445206
2021-09-25 09:19:38.990407 : Epoch  6, Batch     88, Loss  0.862887, Average Loss  0.870782, Time  0.444620
2021-09-25 09:19:44.662904 : Epoch  6, Batch    457, Loss  0.866064, Average Loss  0.870634, Time  0.445138
2021-09-25 09:19:45.014002 : Epoch  6, Batch     89, Loss  0.871033, Average Loss  0.870764, Time  0.445511
2021-09-25 09:19:50.810789 : Epoch  6, Batch    458, Loss  0.872791, Average Loss  0.870678, Time  0.449378
2021-09-25 09:19:51.048430 : Epoch  6, Batch     90, Loss  0.865882, Average Loss  0.870813, Time  0.455152
2021-09-25 09:19:56.950879 : Epoch  6, Batch    459, Loss  0.871839, Average Loss  0.870685, Time  0.446942
2021-09-25 09:19:57.065535 : Epoch  6, Batch     91, Loss  0.870088, Average Loss  0.870791, Time  0.443782
2021-09-25 09:20:03.074174 : Epoch  6, Batch    460, Loss  0.863253, Average Loss  0.870716, Time  0.445479
2021-09-25 09:20:03.111509 : Epoch  6, Batch     92, Loss  0.858775, Average Loss  0.870757, Time  0.444546
2021-09-25 09:20:09.180793 : Epoch  6, Batch     93, Loss  0.867296, Average Loss  0.870740, Time  0.444314
2021-09-25 09:20:15.212421 : Epoch  6, Batch     94, Loss  0.879327, Average Loss  0.870847, Time  0.446977
2021-09-25 09:20:21.247747 : Epoch  6, Batch     95, Loss  0.869234, Average Loss  0.870909, Time  0.444284
2021-09-25 09:20:27.308599 : Epoch  6, Batch     96, Loss  0.875605, Average Loss  0.870924, Time  0.446420
2021-09-25 09:20:33.368750 : Epoch  6, Batch     97, Loss  0.883301, Average Loss  0.871011, Time  0.454078
2021-09-25 09:20:39.394797 : Epoch  6, Batch     98, Loss  0.876876, Average Loss  0.871008, Time  0.444748
2021-09-25 09:20:45.443896 : Epoch  6, Batch     99, Loss  0.869466, Average Loss  0.870970, Time  0.445431
2021-09-25 09:20:51.498958 : Epoch  6, Batch    100, Loss  0.866114, Average Loss  0.870901, Time  0.444828
2021-09-25 09:20:57.509490 : Epoch  6, Batch    101, Loss  0.875911, Average Loss  0.870886, Time  0.444839
2021-09-25 09:21:03.537050 : Epoch  6, Batch    102, Loss  0.866163, Average Loss  0.870818, Time  0.443971
2021-09-25 09:21:09.562473 : Epoch  6, Batch    103, Loss  0.867462, Average Loss  0.870769, Time  0.443943
2021-09-25 09:21:15.584337 : Epoch  6, Batch    104, Loss  0.867738, Average Loss  0.870751, Time  0.444915
2021-09-25 09:21:21.620849 : Epoch  6, Batch    105, Loss  0.882934, Average Loss  0.870715, Time  0.455000
2021-09-25 09:21:27.660540 : Epoch  6, Batch    106, Loss  0.873100, Average Loss  0.870787, Time  0.444070
2021-09-25 09:21:33.687134 : Epoch  6, Batch    107, Loss  0.877062, Average Loss  0.870803, Time  0.444424
2021-09-25 09:21:39.711600 : Epoch  6, Batch    108, Loss  0.886550, Average Loss  0.870904, Time  0.444765
2021-09-25 09:21:45.755637 : Epoch  6, Batch    109, Loss  0.885867, Average Loss  0.870933, Time  0.444700
2021-09-25 09:21:51.813447 : Epoch  6, Batch    110, Loss  0.853028, Average Loss  0.870841, Time  0.445864
2021-09-25 09:21:57.849934 : Epoch  6, Batch    111, Loss  0.870875, Average Loss  0.870773, Time  0.445199
2021-09-25 09:22:03.896269 : Epoch  6, Batch    112, Loss  0.866427, Average Loss  0.870811, Time  0.458781
2021-09-25 09:22:09.922201 : Epoch  6, Batch    113, Loss  0.872317, Average Loss  0.870845, Time  0.444058
2021-09-25 09:22:15.970143 : Epoch  6, Batch    114, Loss  0.881230, Average Loss  0.870880, Time  0.447695
2021-09-25 09:22:22.013270 : Epoch  6, Batch    115, Loss  0.873057, Average Loss  0.870919, Time  0.443951
2021-09-25 09:22:28.050870 : Epoch  6, Batch    116, Loss  0.868349, Average Loss  0.870900, Time  0.444336
2021-09-25 09:22:34.083886 : Epoch  6, Batch    117, Loss  0.858346, Average Loss  0.870801, Time  0.443796
2021-09-25 09:22:40.139303 : Epoch  6, Batch    118, Loss  0.865425, Average Loss  0.870802, Time  0.445032
2021-09-25 09:22:46.190332 : Epoch  6, Batch    119, Loss  0.868691, Average Loss  0.870747, Time  0.448752
2021-09-25 09:22:52.240073 : Epoch  6, Batch    120, Loss  0.865355, Average Loss  0.870678, Time  0.451823
2021-09-25 09:22:58.280672 : Epoch  6, Batch    121, Loss  0.866813, Average Loss  0.870612, Time  0.445799
2021-09-25 09:23:04.335100 : Epoch  6, Batch    122, Loss  0.870555, Average Loss  0.870646, Time  0.444224
2021-09-25 09:23:10.369359 : Epoch  6, Batch    123, Loss  0.872735, Average Loss  0.870746, Time  0.444356
2021-09-25 09:23:16.440237 : Epoch  6, Batch    124, Loss  0.870327, Average Loss  0.870703, Time  0.462818
2021-09-25 09:23:22.470459 : Epoch  6, Batch    125, Loss  0.868870, Average Loss  0.870702, Time  0.445453
2021-09-25 09:23:28.499246 : Epoch  6, Batch    126, Loss  0.875454, Average Loss  0.870767, Time  0.445648
2021-09-25 09:23:34.549996 : Epoch  6, Batch    127, Loss  0.859603, Average Loss  0.870743, Time  0.465473
2021-09-25 09:23:40.591392 : Epoch  6, Batch    128, Loss  0.863267, Average Loss  0.870732, Time  0.448283
2021-09-25 09:23:46.670575 : Epoch  6, Batch    129, Loss  0.872512, Average Loss  0.870710, Time  0.444577
2021-09-25 09:23:52.716154 : Epoch  6, Batch    130, Loss  0.862120, Average Loss  0.870647, Time  0.445788
2021-09-25 09:23:58.745563 : Epoch  6, Batch    131, Loss  0.865964, Average Loss  0.870664, Time  0.448279
2021-09-25 09:24:04.779879 : Epoch  6, Batch    132, Loss  0.865762, Average Loss  0.870657, Time  0.445131
2021-09-25 09:24:10.816844 : Epoch  6, Batch    133, Loss  0.859203, Average Loss  0.870593, Time  0.447040
2021-09-25 09:24:16.858070 : Epoch  6, Batch    134, Loss  0.876741, Average Loss  0.870600, Time  0.445482
2021-09-25 09:24:22.908687 : Epoch  6, Batch    135, Loss  0.865655, Average Loss  0.870560, Time  0.463796
2021-09-25 09:24:28.934732 : Epoch  6, Batch    136, Loss  0.884014, Average Loss  0.870600, Time  0.444594
2021-09-25 09:24:34.967214 : Epoch  6, Batch    137, Loss  0.874286, Average Loss  0.870593, Time  0.445231
2021-09-25 09:24:40.981300 : Epoch  6, Batch    138, Loss  0.869865, Average Loss  0.870605, Time  0.444398
2021-09-25 09:24:47.020057 : Epoch  6, Batch    139, Loss  0.871270, Average Loss  0.870630, Time  0.444486
2021-09-25 09:24:49.528899 : CheckPoint: Validation Loss  0.00014862, Best Loss  0.00014804
2021-09-25 09:24:53.043536 : Epoch  6, Batch    140, Loss  0.856308, Average Loss  0.870569, Time  0.444711
2021-09-25 09:24:55.659772 : Epoch  6, Batch    461, Loss  0.865612, Average Loss  0.870717, Time  0.445526
2021-09-25 09:24:59.088630 : Epoch  6, Batch    141, Loss  0.862882, Average Loss  0.870551, Time  0.445199
2021-09-25 09:25:01.792421 : Epoch  6, Batch    462, Loss  0.876252, Average Loss  0.870689, Time  0.444978
2021-09-25 09:25:05.107540 : Epoch  6, Batch    142, Loss  0.881507, Average Loss  0.870600, Time  0.444812
2021-09-25 09:25:07.930132 : Epoch  6, Batch    463, Loss  0.856228, Average Loss  0.870597, Time  0.444448
2021-09-25 09:25:11.188029 : Epoch  6, Batch    143, Loss  0.863894, Average Loss  0.870532, Time  0.460486
2021-09-25 09:25:14.065836 : Epoch  6, Batch    464, Loss  0.865068, Average Loss  0.870617, Time  0.445606
2021-09-25 09:25:17.230424 : Epoch  6, Batch    144, Loss  0.870817, Average Loss  0.870562, Time  0.446298
2021-09-25 09:25:20.203007 : Epoch  6, Batch    465, Loss  0.874505, Average Loss  0.870622, Time  0.446981
2021-09-25 09:25:23.281525 : Epoch  6, Batch    145, Loss  0.876131, Average Loss  0.870575, Time  0.445346
2021-09-25 09:25:26.322930 : Epoch  6, Batch    466, Loss  0.882623, Average Loss  0.870789, Time  0.447180
2021-09-25 09:25:29.315649 : Epoch  6, Batch    146, Loss  0.865931, Average Loss  0.870586, Time  0.444585
2021-09-25 09:25:32.448112 : Epoch  6, Batch    467, Loss  0.880501, Average Loss  0.870831, Time  0.458688
2021-09-25 09:25:35.320752 : Epoch  6, Batch    147, Loss  0.862385, Average Loss  0.870521, Time  0.444168
2021-09-25 09:25:38.566129 : Epoch  6, Batch    468, Loss  0.879258, Average Loss  0.870777, Time  0.446238
2021-09-25 09:25:41.372837 : Epoch  6, Batch    148, Loss  0.875705, Average Loss  0.870532, Time  0.445397
2021-09-25 09:25:44.670820 : Epoch  6, Batch    469, Loss  0.880365, Average Loss  0.870798, Time  0.446403
2021-09-25 09:25:47.393824 : Epoch  6, Batch    149, Loss  0.863079, Average Loss  0.870493, Time  0.444270
2021-09-25 09:25:50.794901 : Epoch  6, Batch    470, Loss  0.870660, Average Loss  0.870851, Time  0.447512
2021-09-25 09:25:53.441780 : Epoch  6, Batch    150, Loss  0.873583, Average Loss  0.870496, Time  0.461424
2021-09-25 09:25:56.924835 : Epoch  6, Batch    471, Loss  0.888214, Average Loss  0.870943, Time  0.445426
2021-09-25 09:25:59.492516 : Epoch  6, Batch    151, Loss  0.858380, Average Loss  0.870382, Time  0.444853
2021-09-25 09:26:03.048816 : Epoch  6, Batch    472, Loss  0.862188, Average Loss  0.870946, Time  0.445864
2021-09-25 09:26:05.521145 : Epoch  6, Batch    152, Loss  0.863218, Average Loss  0.870331, Time  0.445472
2021-09-25 09:26:09.169309 : Epoch  6, Batch    473, Loss  0.869159, Average Loss  0.870947, Time  0.445799
2021-09-25 09:26:11.560030 : Epoch  6, Batch    153, Loss  0.862316, Average Loss  0.870265, Time  0.448619
2021-09-25 09:26:15.297597 : Epoch  6, Batch    474, Loss  0.855051, Average Loss  0.870863, Time  0.455812
2021-09-25 09:26:17.617105 : Epoch  6, Batch    154, Loss  0.869461, Average Loss  0.870192, Time  0.453471
2021-09-25 09:26:21.418674 : Epoch  6, Batch    475, Loss  0.863373, Average Loss  0.870874, Time  0.445871
2021-09-25 09:26:23.661857 : Epoch  6, Batch    155, Loss  0.870152, Average Loss  0.870293, Time  0.444001
2021-09-25 09:26:27.539871 : Epoch  6, Batch    476, Loss  0.865011, Average Loss  0.870823, Time  0.444921
2021-09-25 09:26:29.698862 : Epoch  6, Batch    156, Loss  0.856105, Average Loss  0.870186, Time  0.446936
2021-09-25 09:26:33.664266 : Epoch  6, Batch    477, Loss  0.851121, Average Loss  0.870754, Time  0.447273
2021-09-25 09:26:35.739845 : Epoch  6, Batch    157, Loss  0.877832, Average Loss  0.870229, Time  0.446611
2021-09-25 09:26:39.787830 : Epoch  6, Batch    478, Loss  0.875245, Average Loss  0.870740, Time  0.445752
2021-09-25 09:26:41.796047 : Epoch  6, Batch    158, Loss  0.872416, Average Loss  0.870265, Time  0.458250
2021-09-25 09:26:45.941980 : Epoch  6, Batch    479, Loss  0.863435, Average Loss  0.870612, Time  0.445803
2021-09-25 09:26:47.847615 : Epoch  6, Batch    159, Loss  0.865793, Average Loss  0.870260, Time  0.446507
2021-09-25 09:26:52.056428 : Epoch  6, Batch    480, Loss  0.872685, Average Loss  0.870653, Time  0.445205
2021-09-25 09:26:53.872360 : Epoch  6, Batch    160, Loss  0.875225, Average Loss  0.870238, Time  0.444193
2021-09-25 09:26:58.195573 : Epoch  6, Batch    481, Loss  0.868094, Average Loss  0.870575, Time  0.446691
2021-09-25 09:27:04.328421 : Epoch  6, Batch    482, Loss  0.871315, Average Loss  0.870614, Time  0.459851
2021-09-25 09:27:10.440926 : Epoch  6, Batch    483, Loss  0.873637, Average Loss  0.870697, Time  0.449994
2021-09-25 09:27:16.572379 : Epoch  6, Batch    484, Loss  0.856665, Average Loss  0.870663, Time  0.445821
2021-09-25 09:27:22.703830 : Epoch  6, Batch    485, Loss  0.884832, Average Loss  0.870773, Time  0.445725
2021-09-25 09:27:28.834854 : Epoch  6, Batch    486, Loss  0.863854, Average Loss  0.870715, Time  0.447011
2021-09-25 09:27:34.968258 : Epoch  6, Batch    487, Loss  0.880049, Average Loss  0.870812, Time  0.444427
2021-09-25 09:27:41.104124 : Epoch  6, Batch    488, Loss  0.877151, Average Loss  0.870932, Time  0.448078
2021-09-25 09:27:47.218654 : Epoch  6, Batch    489, Loss  0.866208, Average Loss  0.870888, Time  0.455367
2021-09-25 09:27:53.342452 : Epoch  6, Batch    490, Loss  0.877922, Average Loss  0.870888, Time  0.446668
2021-09-25 09:27:59.491530 : Epoch  6, Batch    491, Loss  0.854467, Average Loss  0.870854, Time  0.445443
2021-09-25 09:28:05.627748 : Epoch  6, Batch    492, Loss  0.859794, Average Loss  0.870785, Time  0.446385
2021-09-25 09:28:11.761998 : Epoch  6, Batch    493, Loss  0.869347, Average Loss  0.870845, Time  0.445069
2021-09-25 09:28:17.903654 : Epoch  6, Batch    494, Loss  0.878796, Average Loss  0.870862, Time  0.446736
2021-09-25 09:28:24.034459 : Epoch  6, Batch    495, Loss  0.870846, Average Loss  0.870895, Time  0.448158
2021-09-25 09:28:30.183671 : Epoch  6, Batch    496, Loss  0.863563, Average Loss  0.870869, Time  0.455301
2021-09-25 09:28:36.315777 : Epoch  6, Batch    497, Loss  0.861718, Average Loss  0.870760, Time  0.456576
2021-09-25 09:28:42.445250 : Epoch  6, Batch    498, Loss  0.857104, Average Loss  0.870716, Time  0.446587
2021-09-25 09:28:48.565443 : Epoch  6, Batch    499, Loss  0.871337, Average Loss  0.870731, Time  0.445719
2021-09-25 09:28:54.685351 : Epoch  6, Batch    500, Loss  0.886413, Average Loss  0.870748, Time  0.447382
2021-09-25 09:29:00.826663 : Epoch  6, Batch    501, Loss  0.882370, Average Loss  0.870830, Time  0.449133
2021-09-25 09:29:06.917003 : Epoch  6, Batch    502, Loss  0.878981, Average Loss  0.870912, Time  0.445454
2021-09-25 09:29:13.054481 : Epoch  6, Batch    503, Loss  0.870958, Average Loss  0.870951, Time  0.459723
2021-09-25 09:29:19.205677 : Epoch  6, Batch    504, Loss  0.870983, Average Loss  0.870890, Time  0.459492
2021-09-25 09:29:25.322854 : Epoch  6, Batch    505, Loss  0.877059, Average Loss  0.870885, Time  0.445115
2021-09-25 09:29:31.440225 : Epoch  6, Batch    506, Loss  0.880253, Average Loss  0.870874, Time  0.445969
2021-09-25 09:29:37.551760 : Epoch  6, Batch    507, Loss  0.876445, Average Loss  0.870857, Time  0.445480
2021-09-25 09:29:43.688820 : Epoch  6, Batch    508, Loss  0.877831, Average Loss  0.870898, Time  0.445888
2021-09-25 09:29:49.793971 : Epoch  6, Batch    509, Loss  0.871595, Average Loss  0.870938, Time  0.444997
2021-09-25 09:29:55.914690 : Epoch  6, Batch    510, Loss  0.857215, Average Loss  0.870820, Time  0.447726
2021-09-25 09:30:02.025594 : Epoch  6, Batch    511, Loss  0.877655, Average Loss  0.870780, Time  0.445014
2021-09-25 09:30:08.158436 : Epoch  6, Batch    512, Loss  0.872572, Average Loss  0.870711, Time  0.462689
2021-09-25 09:30:14.281957 : Epoch  6, Batch    513, Loss  0.857016, Average Loss  0.870608, Time  0.445077
2021-09-25 09:30:20.389204 : Epoch  6, Batch    514, Loss  0.873002, Average Loss  0.870669, Time  0.446867
2021-09-25 09:30:26.522245 : Epoch  6, Batch    515, Loss  0.884042, Average Loss  0.870716, Time  0.446124
2021-09-25 09:30:32.630235 : Epoch  6, Batch    516, Loss  0.857460, Average Loss  0.870644, Time  0.445812
2021-09-25 09:30:38.739403 : Epoch  6, Batch    517, Loss  0.867413, Average Loss  0.870545, Time  0.447552
2021-09-25 09:30:44.851090 : Epoch  6, Batch    518, Loss  0.863586, Average Loss  0.870539, Time  0.444672
2021-09-25 09:30:50.994460 : Epoch  6, Batch    519, Loss  0.869151, Average Loss  0.870549, Time  0.460373
2021-09-25 09:30:57.162093 : Epoch  6, Batch    520, Loss  0.855986, Average Loss  0.870595, Time  0.445423
2021-09-25 09:31:03.280538 : Epoch  6, Batch    521, Loss  0.867957, Average Loss  0.870522, Time  0.447470
2021-09-25 09:31:09.408116 : Epoch  6, Batch    522, Loss  0.879569, Average Loss  0.870558, Time  0.445375
2021-09-25 09:31:15.521899 : Epoch  6, Batch    523, Loss  0.862096, Average Loss  0.870526, Time  0.453398
2021-09-25 09:31:21.653250 : Epoch  6, Batch    524, Loss  0.869886, Average Loss  0.870485, Time  0.445988
2021-09-25 09:31:27.766884 : Epoch  6, Batch    525, Loss  0.881308, Average Loss  0.870585, Time  0.448423
2021-09-25 09:31:33.892320 : Epoch  6, Batch    526, Loss  0.860263, Average Loss  0.870438, Time  0.445161
2021-09-25 09:31:37.041986 : CheckPoint: Validation Loss  0.00014758, Best Loss  0.00014758
2021-09-25 09:31:37.079517 : Best Model Updated
2021-09-25 09:31:40.032303 : Epoch  6, Batch    527, Loss  0.884427, Average Loss  0.870522, Time  0.452899
2021-09-25 09:31:43.938326 : Epoch  6, Batch    161, Loss  0.882569, Average Loss  0.870205, Time  0.444735
2021-09-25 09:31:46.159697 : Epoch  6, Batch    528, Loss  0.868680, Average Loss  0.870555, Time  0.444764
2021-09-25 09:31:49.946336 : Epoch  6, Batch    162, Loss  0.865621, Average Loss  0.870190, Time  0.444082
2021-09-25 09:31:52.297490 : Epoch  6, Batch    529, Loss  0.883380, Average Loss  0.870629, Time  0.444827
2021-09-25 09:31:55.933711 : Epoch  6, Batch    163, Loss  0.872273, Average Loss  0.870352, Time  0.444524
2021-09-25 09:31:58.410435 : Epoch  6, Batch    530, Loss  0.860317, Average Loss  0.870539, Time  0.447275
2021-09-25 09:32:01.932650 : Epoch  6, Batch    164, Loss  0.883539, Average Loss  0.870396, Time  0.459764
2021-09-25 09:32:04.544633 : Epoch  6, Batch    531, Loss  0.871499, Average Loss  0.870562, Time  0.449393
2021-09-25 09:32:07.957432 : Epoch  6, Batch    165, Loss  0.865272, Average Loss  0.870421, Time  0.445067
2021-09-25 09:32:10.670039 : Epoch  6, Batch    532, Loss  0.870103, Average Loss  0.870557, Time  0.448388
2021-09-25 09:32:13.970316 : Epoch  6, Batch    166, Loss  0.877325, Average Loss  0.870449, Time  0.444956
2021-09-25 09:32:16.784846 : Epoch  6, Batch    533, Loss  0.863585, Average Loss  0.870476, Time  0.446379
2021-09-25 09:32:19.968696 : Epoch  6, Batch    167, Loss  0.875800, Average Loss  0.870440, Time  0.445088
2021-09-25 09:32:22.924914 : Epoch  6, Batch    534, Loss  0.877895, Average Loss  0.870585, Time  0.457785
2021-09-25 09:32:25.987406 : Epoch  6, Batch    168, Loss  0.880841, Average Loss  0.870539, Time  0.447546
2021-09-25 09:32:29.033723 : Epoch  6, Batch    535, Loss  0.887820, Average Loss  0.870721, Time  0.445884
2021-09-25 09:32:31.983174 : Epoch  6, Batch    169, Loss  0.870377, Average Loss  0.870575, Time  0.446299
2021-09-25 09:32:35.162990 : Epoch  6, Batch    536, Loss  0.875874, Average Loss  0.870732, Time  0.446557
2021-09-25 09:32:37.980741 : Epoch  6, Batch    170, Loss  0.879555, Average Loss  0.870583, Time  0.444432
2021-09-25 09:32:41.285578 : Epoch  6, Batch    537, Loss  0.875032, Average Loss  0.870731, Time  0.448043
2021-09-25 09:32:43.975939 : Epoch  6, Batch    171, Loss  0.868648, Average Loss  0.870604, Time  0.444875
2021-09-25 09:32:47.381579 : Epoch  6, Batch    538, Loss  0.866248, Average Loss  0.870688, Time  0.445394
2021-09-25 09:32:49.961441 : Epoch  6, Batch    172, Loss  0.852628, Average Loss  0.870613, Time  0.456073
2021-09-25 09:32:53.511845 : Epoch  6, Batch    539, Loss  0.840371, Average Loss  0.870610, Time  0.446518
2021-09-25 09:32:55.979359 : Epoch  6, Batch    173, Loss  0.872801, Average Loss  0.870603, Time  0.444988
2021-09-25 09:32:59.642719 : Epoch  6, Batch    540, Loss  0.879375, Average Loss  0.870687, Time  0.445609
2021-09-25 09:33:01.996241 : Epoch  6, Batch    174, Loss  0.865837, Average Loss  0.870615, Time  0.447058
2021-09-25 09:33:05.778780 : Epoch  6, Batch    541, Loss  0.866300, Average Loss  0.870596, Time  0.449631
2021-09-25 09:33:08.003544 : Epoch  6, Batch    175, Loss  0.865336, Average Loss  0.870586, Time  0.444558
2021-09-25 09:33:11.912223 : Epoch  6, Batch    542, Loss  0.856448, Average Loss  0.870512, Time  0.456793
2021-09-25 09:33:14.005316 : Epoch  6, Batch    176, Loss  0.870745, Average Loss  0.870555, Time  0.445094
2021-09-25 09:33:18.039057 : Epoch  6, Batch    543, Loss  0.883193, Average Loss  0.870563, Time  0.449762
2021-09-25 09:33:20.002704 : Epoch  6, Batch    177, Loss  0.869298, Average Loss  0.870536, Time  0.445786
2021-09-25 09:33:24.161393 : Epoch  6, Batch    544, Loss  0.867807, Average Loss  0.870565, Time  0.446117
2021-09-25 09:33:26.022922 : Epoch  6, Batch    178, Loss  0.871261, Average Loss  0.870533, Time  0.445528
2021-09-25 09:33:30.311846 : Epoch  6, Batch    545, Loss  0.870702, Average Loss  0.870565, Time  0.446998
2021-09-25 09:33:32.051636 : Epoch  6, Batch    179, Loss  0.873463, Average Loss  0.870525, Time  0.459275
2021-09-25 09:33:36.440046 : Epoch  6, Batch    546, Loss  0.881098, Average Loss  0.870638, Time  0.448319
2021-09-25 09:33:38.071039 : Epoch  6, Batch    180, Loss  0.855285, Average Loss  0.870381, Time  0.450449
2021-09-25 09:33:42.573207 : Epoch  6, Batch    547, Loss  0.865682, Average Loss  0.870619, Time  0.445213
2021-09-25 09:33:44.066175 : Epoch  6, Batch    181, Loss  0.859211, Average Loss  0.870341, Time  0.444587
2021-09-25 09:33:48.698489 : Epoch  6, Batch    548, Loss  0.872307, Average Loss  0.870702, Time  0.444974
2021-09-25 09:33:50.059460 : Epoch  6, Batch    182, Loss  0.860070, Average Loss  0.870241, Time  0.445395
2021-09-25 09:33:54.832961 : Epoch  6, Batch    549, Loss  0.866896, Average Loss  0.870703, Time  0.460069
2021-09-25 09:33:56.061693 : Epoch  6, Batch    183, Loss  0.859813, Average Loss  0.870144, Time  0.444875
2021-09-25 09:34:00.946493 : Epoch  6, Batch    550, Loss  0.864841, Average Loss  0.870682, Time  0.445310
2021-09-25 09:34:02.059869 : Epoch  6, Batch    184, Loss  0.862974, Average Loss  0.870132, Time  0.452086
2021-09-25 09:34:07.075140 : Epoch  6, Batch    551, Loss  0.869632, Average Loss  0.870675, Time  0.446925
2021-09-25 09:34:08.050620 : Epoch  6, Batch    185, Loss  0.861822, Average Loss  0.870143, Time  0.444589
2021-09-25 09:34:13.187062 : Epoch  6, Batch    552, Loss  0.879763, Average Loss  0.870712, Time  0.445431
2021-09-25 09:34:14.020798 : Epoch  6, Batch    186, Loss  0.881883, Average Loss  0.870082, Time  0.444647
2021-09-25 09:34:19.304998 : Epoch  6, Batch    553, Loss  0.867874, Average Loss  0.870720, Time  0.448221
2021-09-25 09:34:20.037165 : Epoch  6, Batch    187, Loss  0.889036, Average Loss  0.870228, Time  0.455757
2021-09-25 09:34:25.429882 : Epoch  6, Batch    554, Loss  0.869731, Average Loss  0.870802, Time  0.445873
2021-09-25 09:34:26.046862 : Epoch  6, Batch    188, Loss  0.868771, Average Loss  0.870260, Time  0.445196
2021-09-25 09:34:31.553815 : Epoch  6, Batch    555, Loss  0.877600, Average Loss  0.870824, Time  0.444442
2021-09-25 09:34:32.083662 : Epoch  6, Batch    189, Loss  0.878527, Average Loss  0.870272, Time  0.449431
2021-09-25 09:34:37.656420 : Epoch  6, Batch    556, Loss  0.880425, Average Loss  0.870928, Time  0.446016
2021-09-25 09:34:38.076996 : Epoch  6, Batch    190, Loss  0.862074, Average Loss  0.870191, Time  0.444427
2021-09-25 09:34:43.794002 : Epoch  6, Batch    557, Loss  0.857798, Average Loss  0.870940, Time  0.464370
2021-09-25 09:34:44.063806 : Epoch  6, Batch    191, Loss  0.852157, Average Loss  0.870024, Time  0.443828
2021-09-25 09:34:49.925889 : Epoch  6, Batch    558, Loss  0.852787, Average Loss  0.870800, Time  0.449175
2021-09-25 09:34:50.078679 : Epoch  6, Batch    192, Loss  0.881426, Average Loss  0.870060, Time  0.444836
2021-09-25 09:34:56.033033 : Epoch  6, Batch    559, Loss  0.875013, Average Loss  0.870828, Time  0.445015
2021-09-25 09:34:56.072740 : Epoch  6, Batch    193, Loss  0.872790, Average Loss  0.870033, Time  0.444875
2021-09-25 09:35:02.064085 : Epoch  6, Batch    194, Loss  0.866673, Average Loss  0.869929, Time  0.446846
2021-09-25 09:35:02.150870 : Epoch  6, Batch    560, Loss  0.873166, Average Loss  0.870908, Time  0.445975
2021-09-25 09:35:08.098028 : Epoch  6, Batch    195, Loss  0.863617, Average Loss  0.869959, Time  0.460139
2021-09-25 09:35:14.103568 : Epoch  6, Batch    196, Loss  0.863908, Average Loss  0.869922, Time  0.446034
2021-09-25 09:35:20.104929 : Epoch  6, Batch    197, Loss  0.859132, Average Loss  0.869831, Time  0.443863
2021-09-25 09:35:26.110977 : Epoch  6, Batch    198, Loss  0.867805, Average Loss  0.869828, Time  0.447534
2021-09-25 09:35:32.131787 : Epoch  6, Batch    199, Loss  0.881914, Average Loss  0.869898, Time  0.445678
2021-09-25 09:35:38.148815 : Epoch  6, Batch    200, Loss  0.845756, Average Loss  0.869870, Time  0.445441
2021-09-25 09:35:44.146419 : Epoch  6, Batch    201, Loss  0.880418, Average Loss  0.869911, Time  0.446704
2021-09-25 09:35:50.182818 : Epoch  6, Batch    202, Loss  0.858492, Average Loss  0.869931, Time  0.457685
2021-09-25 09:35:56.178243 : Epoch  6, Batch    203, Loss  0.858091, Average Loss  0.869910, Time  0.448717
2021-09-25 09:36:02.175973 : Epoch  6, Batch    204, Loss  0.876532, Average Loss  0.869971, Time  0.447635
2021-09-25 09:36:08.174173 : Epoch  6, Batch    205, Loss  0.882615, Average Loss  0.870039, Time  0.444181
2021-09-25 09:36:14.171334 : Epoch  6, Batch    206, Loss  0.862134, Average Loss  0.870027, Time  0.451276
2021-09-25 09:36:20.171243 : Epoch  6, Batch    207, Loss  0.881389, Average Loss  0.870082, Time  0.453090
2021-09-25 09:36:26.154422 : Epoch  6, Batch    208, Loss  0.879098, Average Loss  0.870117, Time  0.443900
2021-09-25 09:36:32.178539 : Epoch  6, Batch    209, Loss  0.869514, Average Loss  0.870196, Time  0.445111
2021-09-25 09:36:38.215184 : Epoch  6, Batch    210, Loss  0.864167, Average Loss  0.870218, Time  0.458431
2021-09-25 09:36:44.223866 : Epoch  6, Batch    211, Loss  0.857820, Average Loss  0.870262, Time  0.445122
2021-09-25 09:36:50.232062 : Epoch  6, Batch    212, Loss  0.874007, Average Loss  0.870184, Time  0.444530
2021-09-25 09:36:56.237919 : Epoch  6, Batch    213, Loss  0.879006, Average Loss  0.870224, Time  0.449413
2021-09-25 09:37:02.227683 : Epoch  6, Batch    214, Loss  0.867354, Average Loss  0.870165, Time  0.444242
2021-09-25 09:37:08.246094 : Epoch  6, Batch    215, Loss  0.874904, Average Loss  0.870148, Time  0.445969
2021-09-25 09:37:14.267731 : Epoch  6, Batch    216, Loss  0.869745, Average Loss  0.870158, Time  0.444792
2021-09-25 09:37:20.290598 : Epoch  6, Batch    217, Loss  0.877704, Average Loss  0.870233, Time  0.460852
2021-09-25 09:37:26.288764 : Epoch  6, Batch    218, Loss  0.873688, Average Loss  0.870234, Time  0.444470
2021-09-25 09:37:32.304349 : Epoch  6, Batch    219, Loss  0.847035, Average Loss  0.870104, Time  0.446588
2021-09-25 09:37:38.322289 : Epoch  6, Batch    220, Loss  0.883135, Average Loss  0.870187, Time  0.445243
2021-09-25 09:37:44.336299 : Epoch  6, Batch    221, Loss  0.868545, Average Loss  0.870159, Time  0.445009
2021-09-25 09:37:50.356968 : Epoch  6, Batch    222, Loss  0.854490, Average Loss  0.870053, Time  0.444376
2021-09-25 09:37:56.366497 : Epoch  6, Batch    223, Loss  0.862673, Average Loss  0.869940, Time  0.446996
2021-09-25 09:38:02.365245 : Epoch  6, Batch    224, Loss  0.872969, Average Loss  0.869944, Time  0.445425
2021-09-25 09:38:08.376964 : Epoch  6, Batch    225, Loss  0.873574, Average Loss  0.869910, Time  0.452725
2021-09-25 09:38:14.388390 : Epoch  6, Batch    226, Loss  0.876452, Average Loss  0.869908, Time  0.444729
2021-09-25 09:38:20.415500 : Epoch  6, Batch    227, Loss  0.870101, Average Loss  0.869837, Time  0.453374
2021-09-25 09:38:26.415794 : Epoch  6, Batch    228, Loss  0.869101, Average Loss  0.869811, Time  0.445168
2021-09-25 09:38:32.419886 : Epoch  6, Batch    229, Loss  0.866756, Average Loss  0.869763, Time  0.445230
2021-09-25 09:38:38.408828 : Epoch  6, Batch    230, Loss  0.859872, Average Loss  0.869712, Time  0.445353
2021-09-25 09:38:44.409962 : Epoch  6, Batch    231, Loss  0.867216, Average Loss  0.869743, Time  0.449584
2021-09-25 09:38:50.426319 : Epoch  6, Batch    232, Loss  0.862609, Average Loss  0.869694, Time  0.457252
2021-09-25 09:38:56.449795 : Epoch  6, Batch    233, Loss  0.864563, Average Loss  0.869696, Time  0.449716
2021-09-25 09:39:02.449957 : Epoch  6, Batch    234, Loss  0.870057, Average Loss  0.869740, Time  0.444552
2021-09-25 09:39:08.469845 : Epoch  6, Batch    235, Loss  0.874486, Average Loss  0.869722, Time  0.446325
2021-09-25 09:39:14.465908 : Epoch  6, Batch    236, Loss  0.874172, Average Loss  0.869769, Time  0.445406
2021-09-25 09:39:20.484864 : Epoch  6, Batch    237, Loss  0.891497, Average Loss  0.869852, Time  0.445171
2021-09-25 09:39:26.493717 : Epoch  6, Batch    238, Loss  0.868393, Average Loss  0.869864, Time  0.444173
2021-09-25 09:39:32.516188 : Epoch  6, Batch    239, Loss  0.859014, Average Loss  0.869764, Time  0.463841
2021-09-25 09:39:38.535807 : Epoch  6, Batch    240, Loss  0.863037, Average Loss  0.869696, Time  0.458790
2021-09-25 09:39:44.530802 : Epoch  6, Batch    241, Loss  0.862666, Average Loss  0.869641, Time  0.447485
2021-09-25 09:39:48.392863 : CheckPoint: Validation Loss  0.00015176, Best Loss  0.00014804
2021-09-25 09:39:50.531257 : Epoch  6, Batch    242, Loss  0.878963, Average Loss  0.869736, Time  0.450686
2021-09-25 09:39:54.491209 : Epoch  6, Batch    561, Loss  0.867336, Average Loss  0.870856, Time  0.445152
2021-09-25 09:39:56.506400 : Epoch  6, Batch    243, Loss  0.868175, Average Loss  0.869715, Time  0.444857
2021-09-25 09:40:00.614876 : Epoch  6, Batch    562, Loss  0.857296, Average Loss  0.870798, Time  0.445121
2021-09-25 09:40:02.508628 : Epoch  6, Batch    244, Loss  0.872304, Average Loss  0.869740, Time  0.445427
2021-09-25 09:40:06.751396 : Epoch  6, Batch    563, Loss  0.860543, Average Loss  0.870755, Time  0.454061
2021-09-25 09:40:08.521987 : Epoch  6, Batch    245, Loss  0.863269, Average Loss  0.869705, Time  0.444654
2021-09-25 09:40:12.856308 : Epoch  6, Batch    564, Loss  0.872912, Average Loss  0.870850, Time  0.445519
2021-09-25 09:40:14.537414 : Epoch  6, Batch    246, Loss  0.879030, Average Loss  0.869743, Time  0.444647
2021-09-25 09:40:18.978876 : Epoch  6, Batch    565, Loss  0.883917, Average Loss  0.870899, Time  0.448579
2021-09-25 09:40:20.555989 : Epoch  6, Batch    247, Loss  0.875139, Average Loss  0.869849, Time  0.455997
2021-09-25 09:40:25.114239 : Epoch  6, Batch    566, Loss  0.874548, Average Loss  0.870955, Time  0.445286
2021-09-25 09:40:26.546848 : Epoch  6, Batch    248, Loss  0.875447, Average Loss  0.869851, Time  0.444990
2021-09-25 09:40:31.233312 : Epoch  6, Batch    567, Loss  0.883995, Average Loss  0.870991, Time  0.445263
2021-09-25 09:40:32.553273 : Epoch  6, Batch    249, Loss  0.851412, Average Loss  0.869661, Time  0.444567
2021-09-25 09:40:37.367138 : Epoch  6, Batch    568, Loss  0.861966, Average Loss  0.870974, Time  0.445178
2021-09-25 09:40:38.559722 : Epoch  6, Batch    250, Loss  0.854135, Average Loss  0.869606, Time  0.445150
2021-09-25 09:40:43.494261 : Epoch  6, Batch    569, Loss  0.857477, Average Loss  0.870898, Time  0.444907
2021-09-25 09:40:44.566523 : Epoch  6, Batch    251, Loss  0.861055, Average Loss  0.869524, Time  0.443966
2021-09-25 09:40:49.641466 : Epoch  6, Batch    570, Loss  0.887380, Average Loss  0.871046, Time  0.461609
2021-09-25 09:40:50.597336 : Epoch  6, Batch    252, Loss  0.864158, Average Loss  0.869452, Time  0.444573
2021-09-25 09:40:55.758599 : Epoch  6, Batch    571, Loss  0.866684, Average Loss  0.871054, Time  0.446574
2021-09-25 09:40:56.602301 : Epoch  6, Batch    253, Loss  0.868708, Average Loss  0.869470, Time  0.443618
2021-09-25 09:41:01.868239 : Epoch  6, Batch    572, Loss  0.863093, Average Loss  0.871096, Time  0.446562
2021-09-25 09:41:02.591740 : Epoch  6, Batch    254, Loss  0.864931, Average Loss  0.869377, Time  0.444308
2021-09-25 09:41:08.001603 : Epoch  6, Batch    573, Loss  0.871999, Average Loss  0.871053, Time  0.449308
2021-09-25 09:41:08.612802 : Epoch  6, Batch    255, Loss  0.867791, Average Loss  0.869308, Time  0.459947
2021-09-25 09:41:14.101261 : Epoch  6, Batch    574, Loss  0.871229, Average Loss  0.871151, Time  0.446448
2021-09-25 09:41:14.601030 : Epoch  6, Batch    256, Loss  0.886940, Average Loss  0.869426, Time  0.445562
2021-09-25 09:41:20.226570 : Epoch  6, Batch    575, Loss  0.871839, Average Loss  0.871226, Time  0.446462
2021-09-25 09:41:20.587790 : Epoch  6, Batch    257, Loss  0.869124, Average Loss  0.869406, Time  0.446364
2021-09-25 09:41:26.335328 : Epoch  6, Batch    576, Loss  0.871965, Average Loss  0.871139, Time  0.446635
2021-09-25 09:41:26.580449 : Epoch  6, Batch    258, Loss  0.855708, Average Loss  0.869381, Time  0.443820
2021-09-25 09:41:32.476005 : Epoch  6, Batch    577, Loss  0.874042, Average Loss  0.871085, Time  0.445636
2021-09-25 09:41:32.576659 : Epoch  6, Batch    259, Loss  0.886911, Average Loss  0.869423, Time  0.444859
2021-09-25 09:41:38.564265 : Epoch  6, Batch    260, Loss  0.873543, Average Loss  0.869453, Time  0.446448
2021-09-25 09:41:38.615934 : Epoch  6, Batch    578, Loss  0.858490, Average Loss  0.870988, Time  0.458307
2021-09-25 09:41:44.770280 : Epoch  6, Batch    579, Loss  0.879487, Average Loss  0.871065, Time  0.444906
2021-09-25 09:41:50.903202 : Epoch  6, Batch    580, Loss  0.865873, Average Loss  0.871044, Time  0.448401
2021-09-25 09:41:57.029904 : Epoch  6, Batch    581, Loss  0.862810, Average Loss  0.871038, Time  0.445178
2021-09-25 09:42:03.158490 : Epoch  6, Batch    582, Loss  0.877871, Average Loss  0.871072, Time  0.454609
2021-09-25 09:42:09.276879 : Epoch  6, Batch    583, Loss  0.864176, Average Loss  0.871017, Time  0.445312
2021-09-25 09:42:15.407048 : Epoch  6, Batch    584, Loss  0.880271, Average Loss  0.871052, Time  0.444614
2021-09-25 09:42:21.538358 : Epoch  6, Batch    585, Loss  0.884698, Average Loss  0.871137, Time  0.458250
2021-09-25 09:42:27.668902 : Epoch  6, Batch    586, Loss  0.866171, Average Loss  0.871091, Time  0.445233
2021-09-25 09:42:33.803943 : Epoch  6, Batch    587, Loss  0.870110, Average Loss  0.871034, Time  0.444959
2021-09-25 09:42:39.926946 : Epoch  6, Batch    588, Loss  0.876168, Average Loss  0.871057, Time  0.445520
2021-09-25 09:42:46.043709 : Epoch  6, Batch    589, Loss  0.870621, Average Loss  0.871082, Time  0.444766
2021-09-25 09:42:52.176317 : Epoch  6, Batch    590, Loss  0.860191, Average Loss  0.871002, Time  0.444928
2021-09-25 09:42:58.312823 : Epoch  6, Batch    591, Loss  0.880701, Average Loss  0.871069, Time  0.445236
2021-09-25 09:43:04.415749 : Epoch  6, Batch    592, Loss  0.873797, Average Loss  0.871119, Time  0.444795
2021-09-25 09:43:10.560703 : Epoch  6, Batch    593, Loss  0.877533, Average Loss  0.871131, Time  0.456466
2021-09-25 09:43:16.693831 : Epoch  6, Batch    594, Loss  0.871957, Average Loss  0.871198, Time  0.447422
2021-09-25 09:43:22.830323 : Epoch  6, Batch    595, Loss  0.870028, Average Loss  0.871180, Time  0.445270
2021-09-25 09:43:28.945508 : Epoch  6, Batch    596, Loss  0.865755, Average Loss  0.871117, Time  0.447628
2021-09-25 09:43:35.057667 : Epoch  6, Batch    597, Loss  0.895536, Average Loss  0.871229, Time  0.446725
2021-09-25 09:43:41.172259 : Epoch  6, Batch    598, Loss  0.868959, Average Loss  0.871195, Time  0.445844
2021-09-25 09:43:47.308658 : Epoch  6, Batch    599, Loss  0.859235, Average Loss  0.871084, Time  0.445662
2021-09-25 09:43:53.464360 : Epoch  6, Batch    600, Loss  0.865076, Average Loss  0.871070, Time  0.459903
2021-09-25 09:43:59.597220 : Epoch  6, Batch    601, Loss  0.876903, Average Loss  0.871081, Time  0.445965
2021-09-25 09:44:05.717219 : Epoch  6, Batch    602, Loss  0.872670, Average Loss  0.871117, Time  0.446747
2021-09-25 09:44:11.858608 : Epoch  6, Batch    603, Loss  0.865728, Average Loss  0.871094, Time  0.444695
2021-09-25 09:44:17.982574 : Epoch  6, Batch    604, Loss  0.871356, Average Loss  0.871124, Time  0.445007
2021-09-25 09:44:24.100531 : Epoch  6, Batch    605, Loss  0.860323, Average Loss  0.871085, Time  0.445542
2021-09-25 09:44:30.227237 : Epoch  6, Batch    606, Loss  0.881104, Average Loss  0.871149, Time  0.446944
2021-09-25 09:44:36.350716 : Epoch  6, Batch    607, Loss  0.868631, Average Loss  0.871101, Time  0.445422
2021-09-25 09:44:42.498770 : Epoch  6, Batch    608, Loss  0.865413, Average Loss  0.870999, Time  0.457529
2021-09-25 09:44:48.640241 : Epoch  6, Batch    609, Loss  0.878133, Average Loss  0.871058, Time  0.444865
2021-09-25 09:44:54.770288 : Epoch  6, Batch    610, Loss  0.864717, Average Loss  0.871020, Time  0.445083
2021-09-25 09:45:00.907239 : Epoch  6, Batch    611, Loss  0.866786, Average Loss  0.870950, Time  0.444420
2021-09-25 09:45:07.037074 : Epoch  6, Batch    612, Loss  0.873007, Average Loss  0.870967, Time  0.447355
2021-09-25 09:45:13.165320 : Epoch  6, Batch    613, Loss  0.890631, Average Loss  0.871107, Time  0.446260
2021-09-25 09:45:19.300056 : Epoch  6, Batch    614, Loss  0.866160, Average Loss  0.871079, Time  0.445112
2021-09-25 09:45:25.435719 : Epoch  6, Batch    615, Loss  0.865314, Average Loss  0.871043, Time  0.458598
2021-09-25 09:45:31.584304 : Epoch  6, Batch    616, Loss  0.876758, Average Loss  0.871053, Time  0.445806
2021-09-25 09:45:37.715684 : Epoch  6, Batch    617, Loss  0.864578, Average Loss  0.870991, Time  0.447947
2021-09-25 09:45:43.831343 : Epoch  6, Batch    618, Loss  0.868609, Average Loss  0.870941, Time  0.446306
2021-09-25 09:45:49.962731 : Epoch  6, Batch    619, Loss  0.869350, Average Loss  0.870884, Time  0.447540
2021-09-25 09:45:56.083756 : Epoch  6, Batch    620, Loss  0.873704, Average Loss  0.870922, Time  0.445229
2021-09-25 09:46:02.208810 : Epoch  6, Batch    621, Loss  0.871173, Average Loss  0.870909, Time  0.444850
2021-09-25 09:46:08.347014 : Epoch  6, Batch    622, Loss  0.855205, Average Loss  0.870862, Time  0.445229
2021-09-25 09:46:14.494800 : Epoch  6, Batch    623, Loss  0.880486, Average Loss  0.870882, Time  0.463668
2021-09-25 09:46:20.625331 : Epoch  6, Batch    624, Loss  0.876750, Average Loss  0.870856, Time  0.444783
2021-09-25 09:46:21.014616 : CheckPoint: Validation Loss  0.00015048, Best Loss  0.00014758
2021-09-25 09:46:26.760883 : Epoch  6, Batch    625, Loss  0.858160, Average Loss  0.870783, Time  0.445151
2021-09-25 09:46:27.016844 : Epoch  6, Batch    261, Loss  0.876652, Average Loss  0.869471, Time  0.456627
2021-09-25 09:46:32.867730 : Epoch  6, Batch    626, Loss  0.876585, Average Loss  0.870766, Time  0.447635
2021-09-25 09:46:33.000682 : Epoch  6, Batch    262, Loss  0.857408, Average Loss  0.869359, Time  0.444685
2021-09-25 09:46:38.986623 : Epoch  6, Batch    627, Loss  0.854212, Average Loss  0.870665, Time  0.447248
2021-09-25 09:46:39.023988 : Epoch  6, Batch    263, Loss  0.880403, Average Loss  0.869381, Time  0.444490
2021-09-25 09:46:45.010441 : Epoch  6, Batch    264, Loss  0.865451, Average Loss  0.869347, Time  0.444175
2021-09-25 09:46:45.092814 : Epoch  6, Batch    628, Loss  0.882836, Average Loss  0.870730, Time  0.445455
2021-09-25 09:46:51.021756 : Epoch  6, Batch    265, Loss  0.854553, Average Loss  0.869220, Time  0.446380
2021-09-25 09:46:51.230266 : Epoch  6, Batch    629, Loss  0.874664, Average Loss  0.870735, Time  0.446359
2021-09-25 09:46:56.996814 : Epoch  6, Batch    266, Loss  0.874814, Average Loss  0.869282, Time  0.445400
2021-09-25 09:46:57.347421 : Epoch  6, Batch    630, Loss  0.872255, Average Loss  0.870744, Time  0.456312
2021-09-25 09:47:03.001703 : Epoch  6, Batch    267, Loss  0.871312, Average Loss  0.869232, Time  0.447698
2021-09-25 09:47:03.476940 : Epoch  6, Batch    631, Loss  0.882954, Average Loss  0.870762, Time  0.448636
2021-09-25 09:47:09.003339 : Epoch  6, Batch    268, Loss  0.869757, Average Loss  0.869199, Time  0.444896
2021-09-25 09:47:09.603677 : Epoch  6, Batch    632, Loss  0.857586, Average Loss  0.870718, Time  0.447187
2021-09-25 09:47:15.022720 : Epoch  6, Batch    269, Loss  0.860561, Average Loss  0.869094, Time  0.453806
2021-09-25 09:47:15.717404 : Epoch  6, Batch    633, Loss  0.860948, Average Loss  0.870660, Time  0.444869
2021-09-25 09:47:21.027643 : Epoch  6, Batch    270, Loss  0.870151, Average Loss  0.869113, Time  0.445102
2021-09-25 09:47:21.862558 : Epoch  6, Batch    634, Loss  0.854080, Average Loss  0.870512, Time  0.445072
2021-09-25 09:47:27.049684 : Epoch  6, Batch    271, Loss  0.887966, Average Loss  0.869222, Time  0.445977
2021-09-25 09:47:27.972106 : Epoch  6, Batch    635, Loss  0.859222, Average Loss  0.870457, Time  0.445625
2021-09-25 09:47:33.034724 : Epoch  6, Batch    272, Loss  0.868987, Average Loss  0.869200, Time  0.444321
2021-09-25 09:47:34.102419 : Epoch  6, Batch    636, Loss  0.879699, Average Loss  0.870449, Time  0.447454
2021-09-25 09:47:39.042199 : Epoch  6, Batch    273, Loss  0.865985, Average Loss  0.869207, Time  0.444423
2021-09-25 09:47:40.238892 : Epoch  6, Batch    637, Loss  0.864666, Average Loss  0.870471, Time  0.448464
2021-09-25 09:47:45.033892 : Epoch  6, Batch    274, Loss  0.861282, Average Loss  0.869223, Time  0.443963
2021-09-25 09:47:46.378545 : Epoch  6, Batch    638, Loss  0.868140, Average Loss  0.870441, Time  0.454973
2021-09-25 09:47:51.073647 : Epoch  6, Batch    275, Loss  0.874301, Average Loss  0.869230, Time  0.455936
2021-09-25 09:47:52.507834 : Epoch  6, Batch    639, Loss  0.864123, Average Loss  0.870425, Time  0.445406
2021-09-25 09:47:57.113254 : Epoch  6, Batch    276, Loss  0.872355, Average Loss  0.869275, Time  0.457578
2021-09-25 09:47:58.634608 : Epoch  6, Batch    640, Loss  0.866715, Average Loss  0.870377, Time  0.444676
2021-09-25 09:48:03.152301 : Epoch  6, Batch    277, Loss  0.871830, Average Loss  0.869280, Time  0.445213
2021-09-25 09:48:04.759875 : Epoch  6, Batch    641, Loss  0.876753, Average Loss  0.870412, Time  0.445260
2021-09-25 09:48:09.151898 : Epoch  6, Batch    278, Loss  0.872185, Average Loss  0.869380, Time  0.445993
2021-09-25 09:48:10.886728 : Epoch  6, Batch    642, Loss  0.856534, Average Loss  0.870393, Time  0.446753
2021-09-25 09:48:15.190686 : Epoch  6, Batch    279, Loss  0.873221, Average Loss  0.869399, Time  0.445447
2021-09-25 09:48:17.022796 : Epoch  6, Batch    643, Loss  0.854452, Average Loss  0.870288, Time  0.450801
2021-09-25 09:48:21.227721 : Epoch  6, Batch    280, Loss  0.849647, Average Loss  0.869337, Time  0.444000
2021-09-25 09:48:23.151816 : Epoch  6, Batch    644, Loss  0.874351, Average Loss  0.870255, Time  0.446200
2021-09-25 09:48:27.250165 : Epoch  6, Batch    281, Loss  0.864416, Average Loss  0.869301, Time  0.445164
2021-09-25 09:48:29.289756 : Epoch  6, Batch    645, Loss  0.881761, Average Loss  0.870324, Time  0.455385
2021-09-25 09:48:33.272143 : Epoch  6, Batch    282, Loss  0.861927, Average Loss  0.869271, Time  0.447413
2021-09-25 09:48:35.419303 : Epoch  6, Batch    646, Loss  0.856342, Average Loss  0.870222, Time  0.445844
2021-09-25 09:48:39.289347 : Epoch  6, Batch    283, Loss  0.876496, Average Loss  0.869295, Time  0.447342
2021-09-25 09:48:41.534041 : Epoch  6, Batch    647, Loss  0.860804, Average Loss  0.870182, Time  0.445167
2021-09-25 09:48:45.343882 : Epoch  6, Batch    284, Loss  0.879764, Average Loss  0.869301, Time  0.458534
2021-09-25 09:48:47.664343 : Epoch  6, Batch    648, Loss  0.879937, Average Loss  0.870218, Time  0.445395
2021-09-25 09:48:51.361897 : Epoch  6, Batch    285, Loss  0.864899, Average Loss  0.869398, Time  0.444590
2021-09-25 09:48:53.795692 : Epoch  6, Batch    649, Loss  0.891935, Average Loss  0.870341, Time  0.445528
2021-09-25 09:48:57.377823 : Epoch  6, Batch    286, Loss  0.878178, Average Loss  0.869449, Time  0.450815
2021-09-25 09:48:59.927637 : Epoch  6, Batch    650, Loss  0.869619, Average Loss  0.870387, Time  0.444931
2021-09-25 09:49:03.410940 : Epoch  6, Batch    287, Loss  0.871753, Average Loss  0.869399, Time  0.445313
2021-09-25 09:49:06.064481 : Epoch  6, Batch    651, Loss  0.877605, Average Loss  0.870392, Time  0.454556
2021-09-25 09:49:09.421838 : Epoch  6, Batch    288, Loss  0.879248, Average Loss  0.869481, Time  0.445662
2021-09-25 09:49:12.174531 : Epoch  6, Batch    652, Loss  0.861579, Average Loss  0.870347, Time  0.444855
2021-09-25 09:49:15.443009 : Epoch  6, Batch    289, Loss  0.868906, Average Loss  0.869470, Time  0.445756
2021-09-25 09:49:18.319213 : Epoch  6, Batch    653, Loss  0.889749, Average Loss  0.870435, Time  0.461007
2021-09-25 09:49:21.465987 : Epoch  6, Batch    290, Loss  0.859055, Average Loss  0.869436, Time  0.446631
2021-09-25 09:49:24.462275 : Epoch  6, Batch    654, Loss  0.874901, Average Loss  0.870486, Time  0.455316
2021-09-25 09:49:27.500697 : Epoch  6, Batch    291, Loss  0.890520, Average Loss  0.869538, Time  0.456662
2021-09-25 09:49:30.601571 : Epoch  6, Batch    655, Loss  0.861366, Average Loss  0.870370, Time  0.445469
2021-09-25 09:49:33.519070 : Epoch  6, Batch    292, Loss  0.860323, Average Loss  0.869546, Time  0.444963
2021-09-25 09:49:36.728324 : Epoch  6, Batch    656, Loss  0.871682, Average Loss  0.870367, Time  0.445613
2021-09-25 09:49:39.554833 : Epoch  6, Batch    293, Loss  0.851065, Average Loss  0.869465, Time  0.445340
2021-09-25 09:49:42.869789 : Epoch  6, Batch    657, Loss  0.856672, Average Loss  0.870320, Time  0.447281
2021-09-25 09:49:45.582903 : Epoch  6, Batch    294, Loss  0.868766, Average Loss  0.869412, Time  0.445670
2021-09-25 09:49:49.004589 : Epoch  6, Batch    658, Loss  0.876785, Average Loss  0.870340, Time  0.445063
2021-09-25 09:49:51.599568 : Epoch  6, Batch    295, Loss  0.862158, Average Loss  0.869377, Time  0.446762
2021-09-25 09:49:55.138828 : Epoch  6, Batch    659, Loss  0.872579, Average Loss  0.870344, Time  0.448537
2021-09-25 09:49:57.615830 : Epoch  6, Batch    296, Loss  0.861265, Average Loss  0.869305, Time  0.443917
2021-09-25 09:50:01.281047 : Epoch  6, Batch    660, Loss  0.853986, Average Loss  0.870297, Time  0.459437
2021-09-25 09:50:03.646347 : Epoch  6, Batch    297, Loss  0.860595, Average Loss  0.869191, Time  0.448516
2021-09-25 09:50:09.667946 : Epoch  6, Batch    298, Loss  0.858006, Average Loss  0.869097, Time  0.446008
2021-09-25 09:50:15.694765 : Epoch  6, Batch    299, Loss  0.878843, Average Loss  0.869144, Time  0.450794
2021-09-25 09:50:21.717969 : Epoch  6, Batch    300, Loss  0.860290, Average Loss  0.869115, Time  0.444030
2021-09-25 09:50:27.706716 : Epoch  6, Batch    301, Loss  0.882840, Average Loss  0.869150, Time  0.444705
2021-09-25 09:50:33.709781 : Epoch  6, Batch    302, Loss  0.879819, Average Loss  0.869218, Time  0.451938
2021-09-25 09:50:39.718717 : Epoch  6, Batch    303, Loss  0.855731, Average Loss  0.869159, Time  0.444459
2021-09-25 09:50:45.734964 : Epoch  6, Batch    304, Loss  0.879395, Average Loss  0.869217, Time  0.448917
2021-09-25 09:50:51.757004 : Epoch  6, Batch    305, Loss  0.861013, Average Loss  0.869108, Time  0.448138
2021-09-25 09:50:57.762380 : Epoch  6, Batch    306, Loss  0.872087, Average Loss  0.869103, Time  0.456188
2021-09-25 09:51:03.773156 : Epoch  6, Batch    307, Loss  0.858358, Average Loss  0.869009, Time  0.444471
2021-09-25 09:51:09.772050 : Epoch  6, Batch    308, Loss  0.872645, Average Loss  0.868940, Time  0.446321
2021-09-25 09:51:15.789122 : Epoch  6, Batch    309, Loss  0.846572, Average Loss  0.868743, Time  0.444081
2021-09-25 09:51:21.770866 : Epoch  6, Batch    310, Loss  0.866554, Average Loss  0.868811, Time  0.444419
2021-09-25 09:51:27.786833 : Epoch  6, Batch    311, Loss  0.865270, Average Loss  0.868783, Time  0.444910
2021-09-25 09:51:33.797114 : Epoch  6, Batch    312, Loss  0.862947, Average Loss  0.868765, Time  0.444468
2021-09-25 09:51:39.807055 : Epoch  6, Batch    313, Loss  0.876987, Average Loss  0.868789, Time  0.444177
2021-09-25 09:51:45.812670 : Epoch  6, Batch    314, Loss  0.851974, Average Loss  0.868643, Time  0.460184
2021-09-25 09:51:51.828403 : Epoch  6, Batch    315, Loss  0.872788, Average Loss  0.868641, Time  0.446711
2021-09-25 09:51:57.826056 : Epoch  6, Batch    316, Loss  0.877905, Average Loss  0.868689, Time  0.444593
2021-09-25 09:52:03.863446 : Epoch  6, Batch    317, Loss  0.870181, Average Loss  0.868748, Time  0.444403
2021-09-25 09:52:09.864322 : Epoch  6, Batch    318, Loss  0.875332, Average Loss  0.868798, Time  0.446039
2021-09-25 09:52:15.872260 : Epoch  6, Batch    319, Loss  0.867954, Average Loss  0.868794, Time  0.447556
2021-09-25 09:52:21.881402 : Epoch  6, Batch    320, Loss  0.882687, Average Loss  0.868881, Time  0.444376
2021-09-25 09:52:27.881667 : Epoch  6, Batch    321, Loss  0.882796, Average Loss  0.868961, Time  0.443735
2021-09-25 09:52:33.890392 : Epoch  6, Batch    322, Loss  0.868896, Average Loss  0.868952, Time  0.455739
2021-09-25 09:52:39.883558 : Epoch  6, Batch    323, Loss  0.854307, Average Loss  0.868860, Time  0.444299
2021-09-25 09:52:45.899331 : Epoch  6, Batch    324, Loss  0.858011, Average Loss  0.868799, Time  0.444019
2021-09-25 09:52:51.930946 : Epoch  6, Batch    325, Loss  0.866392, Average Loss  0.868786, Time  0.446803
2021-09-25 09:52:57.940009 : Epoch  6, Batch    326, Loss  0.873136, Average Loss  0.868775, Time  0.450015
2021-09-25 09:53:03.962439 : Epoch  6, Batch    327, Loss  0.859283, Average Loss  0.868773, Time  0.444405
2021-09-25 09:53:09.964128 : Epoch  6, Batch    328, Loss  0.886004, Average Loss  0.868887, Time  0.445449
2021-09-25 09:53:15.996517 : Epoch  6, Batch    329, Loss  0.871575, Average Loss  0.868882, Time  0.444062
2021-09-25 09:53:22.026759 : Epoch  6, Batch    330, Loss  0.870534, Average Loss  0.868924, Time  0.452671
2021-09-25 09:53:28.055333 : Epoch  6, Batch    331, Loss  0.853557, Average Loss  0.868862, Time  0.445502
2021-09-25 09:53:34.077278 : Epoch  6, Batch    332, Loss  0.881214, Average Loss  0.868939, Time  0.445101
2021-09-25 09:53:40.082173 : Epoch  6, Batch    333, Loss  0.872410, Average Loss  0.869005, Time  0.446454
2021-09-25 09:53:46.073315 : Epoch  6, Batch    334, Loss  0.871627, Average Loss  0.868980, Time  0.447597
2021-09-25 09:53:52.066686 : Epoch  6, Batch    335, Loss  0.857393, Average Loss  0.868938, Time  0.443885
2021-09-25 09:53:58.079846 : Epoch  6, Batch    336, Loss  0.866389, Average Loss  0.868850, Time  0.450194
2021-09-25 09:54:04.074592 : Epoch  6, Batch    337, Loss  0.866438, Average Loss  0.868811, Time  0.445934
2021-09-25 09:54:10.082680 : Epoch  6, Batch    338, Loss  0.867443, Average Loss  0.868799, Time  0.459637
2021-09-25 09:54:16.075538 : Epoch  6, Batch    339, Loss  0.865179, Average Loss  0.868769, Time  0.447559
2021-09-25 09:54:22.087630 : Epoch  6, Batch    340, Loss  0.866189, Average Loss  0.868818, Time  0.445853
2021-09-25 09:54:28.089643 : Epoch  6, Batch    341, Loss  0.871316, Average Loss  0.868860, Time  0.446951
2021-09-25 09:54:34.097849 : Epoch  6, Batch    342, Loss  0.870597, Average Loss  0.868806, Time  0.444284
2021-09-25 09:54:40.115121 : Epoch  6, Batch    343, Loss  0.863861, Average Loss  0.868805, Time  0.445742
2021-09-25 09:54:46.105632 : Epoch  6, Batch    344, Loss  0.886942, Average Loss  0.868886, Time  0.444363
2021-09-25 09:54:47.709266 : CheckPoint: Validation Loss  0.00015178, Best Loss  0.00014804
2021-09-25 09:54:52.127713 : Epoch  6, Batch    345, Loss  0.858221, Average Loss  0.868796, Time  0.444471
2021-09-25 09:54:53.841136 : Epoch  6, Batch    661, Loss  0.868203, Average Loss  0.870310, Time  0.447372
2021-09-25 09:54:58.153446 : Epoch  6, Batch    346, Loss  0.859510, Average Loss  0.868764, Time  0.462119
2021-09-25 09:54:59.945854 : Epoch  6, Batch    662, Loss  0.881147, Average Loss  0.870335, Time  0.445491
2021-09-25 09:55:04.197707 : Epoch  6, Batch    347, Loss  0.884414, Average Loss  0.868875, Time  0.444146
2021-09-25 09:55:06.063200 : Epoch  6, Batch    663, Loss  0.871744, Average Loss  0.870412, Time  0.446263
2021-09-25 09:55:10.191083 : Epoch  6, Batch    348, Loss  0.883297, Average Loss  0.868912, Time  0.444645
2021-09-25 09:55:12.169195 : Epoch  6, Batch    664, Loss  0.858453, Average Loss  0.870379, Time  0.446554
2021-09-25 09:55:16.197754 : Epoch  6, Batch    349, Loss  0.862904, Average Loss  0.868912, Time  0.444417
2021-09-25 09:55:18.284520 : Epoch  6, Batch    665, Loss  0.872056, Average Loss  0.870367, Time  0.450629
2021-09-25 09:55:22.236086 : Epoch  6, Batch    350, Loss  0.866462, Average Loss  0.868876, Time  0.444366
2021-09-25 09:55:24.410663 : Epoch  6, Batch    666, Loss  0.869577, Average Loss  0.870302, Time  0.455483
2021-09-25 09:55:28.248701 : Epoch  6, Batch    351, Loss  0.878946, Average Loss  0.868979, Time  0.450454
2021-09-25 09:55:30.526198 : Epoch  6, Batch    667, Loss  0.869874, Average Loss  0.870249, Time  0.445966
2021-09-25 09:55:34.257435 : Epoch  6, Batch    352, Loss  0.867928, Average Loss  0.869002, Time  0.450609
2021-09-25 09:55:36.667485 : Epoch  6, Batch    668, Loss  0.862703, Average Loss  0.870166, Time  0.446357
2021-09-25 09:55:40.278935 : Epoch  6, Batch    353, Loss  0.862215, Average Loss  0.869002, Time  0.459907
2021-09-25 09:55:42.783215 : Epoch  6, Batch    669, Loss  0.881344, Average Loss  0.870171, Time  0.445991
2021-09-25 09:55:46.279562 : Epoch  6, Batch    354, Loss  0.856133, Average Loss  0.868935, Time  0.444386
2021-09-25 09:55:48.909218 : Epoch  6, Batch    670, Loss  0.868267, Average Loss  0.870159, Time  0.445266
2021-09-25 09:55:52.307136 : Epoch  6, Batch    355, Loss  0.864130, Average Loss  0.868905, Time  0.444562
2021-09-25 09:55:55.035900 : Epoch  6, Batch    671, Loss  0.870398, Average Loss  0.870070, Time  0.448802
2021-09-25 09:55:58.307858 : Epoch  6, Batch    356, Loss  0.864811, Average Loss  0.868949, Time  0.444799
2021-09-25 09:56:01.176932 : Epoch  6, Batch    672, Loss  0.878143, Average Loss  0.870149, Time  0.450846
2021-09-25 09:56:04.327040 : Epoch  6, Batch    357, Loss  0.861070, Average Loss  0.868865, Time  0.448614
2021-09-25 09:56:07.303393 : Epoch  6, Batch    673, Loss  0.869497, Average Loss  0.870151, Time  0.444983
2021-09-25 09:56:10.335695 : Epoch  6, Batch    358, Loss  0.867296, Average Loss  0.868839, Time  0.444170
2021-09-25 09:56:13.395806 : Epoch  6, Batch    674, Loss  0.871222, Average Loss  0.870232, Time  0.453701
2021-09-25 09:56:16.345477 : Epoch  6, Batch    359, Loss  0.882510, Average Loss  0.868923, Time  0.445738
2021-09-25 09:56:19.512293 : Epoch  6, Batch    675, Loss  0.874028, Average Loss  0.870285, Time  0.445060
2021-09-25 09:56:25.646400 : Epoch  6, Batch    676, Loss  0.861492, Average Loss  0.870268, Time  0.450035
2021-09-25 09:56:27.910055 : Epoch  6, Batch    360, Loss  0.876443, Average Loss  0.868929, Time  0.462193
2021-09-25 09:56:31.775956 : Epoch  6, Batch    677, Loss  0.878475, Average Loss  0.870404, Time  0.446375
2021-09-25 09:56:37.898973 : Epoch  6, Batch    678, Loss  0.877435, Average Loss  0.870415, Time  0.445065
2021-09-25 09:56:44.046807 : Epoch  6, Batch    679, Loss  0.866556, Average Loss  0.870431, Time  0.447298
2021-09-25 09:56:50.186109 : Epoch  6, Batch    680, Loss  0.863866, Average Loss  0.870387, Time  0.447133
2021-09-25 09:56:56.317316 : Epoch  6, Batch    681, Loss  0.859731, Average Loss  0.870345, Time  0.456275
2021-09-25 09:57:02.423038 : Epoch  6, Batch    682, Loss  0.873509, Average Loss  0.870356, Time  0.445616
2021-09-25 09:57:08.540409 : Epoch  6, Batch    683, Loss  0.875180, Average Loss  0.870364, Time  0.444879
2021-09-25 09:57:14.657289 : Epoch  6, Batch    684, Loss  0.863743, Average Loss  0.870399, Time  0.445759
2021-09-25 09:57:20.783771 : Epoch  6, Batch    685, Loss  0.868559, Average Loss  0.870318, Time  0.446869
2021-09-25 09:57:26.900212 : Epoch  6, Batch    686, Loss  0.867387, Average Loss  0.870335, Time  0.445798
2021-09-25 09:57:33.023603 : Epoch  6, Batch    687, Loss  0.875171, Average Loss  0.870311, Time  0.447823
2021-09-25 09:57:39.143895 : Epoch  6, Batch    688, Loss  0.884671, Average Loss  0.870349, Time  0.448584
2021-09-25 09:57:45.291009 : Epoch  6, Batch    689, Loss  0.860525, Average Loss  0.870320, Time  0.455519
2021-09-25 09:57:51.422181 : Epoch  6, Batch    690, Loss  0.870318, Average Loss  0.870282, Time  0.446094
2021-09-25 09:57:57.535636 : Epoch  6, Batch    691, Loss  0.877199, Average Loss  0.870396, Time  0.445437
2021-09-25 09:58:03.644432 : Epoch  6, Batch    692, Loss  0.873934, Average Loss  0.870467, Time  0.445744
2021-09-25 09:58:09.765097 : Epoch  6, Batch    693, Loss  0.861366, Average Loss  0.870427, Time  0.446187
2021-09-25 09:58:15.884815 : Epoch  6, Batch    694, Loss  0.882188, Average Loss  0.870444, Time  0.448988
2021-09-25 09:58:22.027895 : Epoch  6, Batch    695, Loss  0.878359, Average Loss  0.870481, Time  0.445169
2021-09-25 09:58:28.188894 : Epoch  6, Batch    696, Loss  0.858376, Average Loss  0.870455, Time  0.460819
2021-09-25 09:58:34.302932 : Epoch  6, Batch    697, Loss  0.858086, Average Loss  0.870437, Time  0.448202
2021-09-25 09:58:40.432773 : Epoch  6, Batch    698, Loss  0.874626, Average Loss  0.870525, Time  0.449081
2021-09-25 09:58:46.559294 : Epoch  6, Batch    699, Loss  0.866772, Average Loss  0.870502, Time  0.446993
2021-09-25 09:58:52.682413 : Epoch  6, Batch    700, Loss  0.875133, Average Loss  0.870445, Time  0.445830
2021-09-25 09:58:58.804814 : Epoch  6, Batch    701, Loss  0.859847, Average Loss  0.870333, Time  0.445578
2021-09-25 09:59:04.930170 : Epoch  6, Batch    702, Loss  0.887431, Average Loss  0.870375, Time  0.445074
2021-09-25 09:59:11.060811 : Epoch  6, Batch    703, Loss  0.855274, Average Loss  0.870297, Time  0.447662
2021-09-25 09:59:17.194457 : Epoch  6, Batch    704, Loss  0.878496, Average Loss  0.870334, Time  0.456963
2021-09-25 09:59:23.318197 : Epoch  6, Batch    705, Loss  0.870451, Average Loss  0.870301, Time  0.445121
2021-09-25 09:59:29.446370 : Epoch  6, Batch    706, Loss  0.848858, Average Loss  0.870144, Time  0.444329
2021-09-25 09:59:35.579341 : Epoch  6, Batch    707, Loss  0.863782, Average Loss  0.870081, Time  0.445118
2021-09-25 09:59:41.711842 : Epoch  6, Batch    708, Loss  0.855751, Average Loss  0.869971, Time  0.445548
2021-09-25 09:59:47.832416 : Epoch  6, Batch    709, Loss  0.878552, Average Loss  0.870005, Time  0.445788
2021-09-25 09:59:53.941764 : Epoch  6, Batch    710, Loss  0.880019, Average Loss  0.870119, Time  0.445001
2021-09-25 10:00:00.078437 : Epoch  6, Batch    711, Loss  0.869785, Average Loss  0.870080, Time  0.462702
2021-09-25 10:00:06.198282 : Epoch  6, Batch    712, Loss  0.864590, Average Loss  0.870040, Time  0.445407
2021-09-25 10:00:12.322786 : Epoch  6, Batch    713, Loss  0.874737, Average Loss  0.870129, Time  0.444889
2021-09-25 10:00:18.441687 : Epoch  6, Batch    714, Loss  0.869987, Average Loss  0.870114, Time  0.449887
2021-09-25 10:00:24.553287 : Epoch  6, Batch    715, Loss  0.866115, Average Loss  0.870024, Time  0.447275
2021-09-25 10:00:30.690791 : Epoch  6, Batch    716, Loss  0.863275, Average Loss  0.870053, Time  0.445303
2021-09-25 10:00:36.803330 : Epoch  6, Batch    717, Loss  0.878167, Average Loss  0.870107, Time  0.447500
2021-09-25 10:00:42.934334 : Epoch  6, Batch    718, Loss  0.875382, Average Loss  0.870166, Time  0.446548
2021-09-25 10:00:49.069846 : Epoch  6, Batch    719, Loss  0.864009, Average Loss  0.870140, Time  0.458735
2021-09-25 10:00:55.189109 : Epoch  6, Batch    720, Loss  0.883105, Average Loss  0.870276, Time  0.449749
2021-09-25 10:01:01.317943 : Epoch  6, Batch    721, Loss  0.881811, Average Loss  0.870345, Time  0.444733
2021-09-25 10:01:07.433431 : Epoch  6, Batch    722, Loss  0.880723, Average Loss  0.870351, Time  0.446415
2021-09-25 10:01:11.059533 : CheckPoint: Validation Loss  0.00014839, Best Loss  0.00014758
2021-09-25 10:01:13.561996 : Epoch  6, Batch    723, Loss  0.875512, Average Loss  0.870418, Time  0.450242
2021-09-25 10:01:17.058738 : Epoch  6, Batch    361, Loss  0.868556, Average Loss  0.868859, Time  0.444718
2021-09-25 10:01:19.690398 : Epoch  6, Batch    724, Loss  0.882216, Average Loss  0.870479, Time  0.445253
2021-09-25 10:01:23.030896 : Epoch  6, Batch    362, Loss  0.869078, Average Loss  0.868876, Time  0.447553
2021-09-25 10:01:25.800574 : Epoch  6, Batch    725, Loss  0.868148, Average Loss  0.870414, Time  0.445602
2021-09-25 10:01:29.009798 : Epoch  6, Batch    363, Loss  0.867878, Average Loss  0.868854, Time  0.445616
2021-09-25 10:01:31.946388 : Epoch  6, Batch    726, Loss  0.870566, Average Loss  0.870465, Time  0.454443
2021-09-25 10:01:34.993100 : Epoch  6, Batch    364, Loss  0.868438, Average Loss  0.868779, Time  0.445452
2021-09-25 10:01:38.076005 : Epoch  6, Batch    727, Loss  0.861847, Average Loss  0.870352, Time  0.444761
2021-09-25 10:01:41.000708 : Epoch  6, Batch    365, Loss  0.877594, Average Loss  0.868840, Time  0.444757
2021-09-25 10:01:44.213914 : Epoch  6, Batch    728, Loss  0.875715, Average Loss  0.870387, Time  0.451109
2021-09-25 10:01:47.003292 : Epoch  6, Batch    366, Loss  0.864391, Average Loss  0.868776, Time  0.456852
2021-09-25 10:01:50.354053 : Epoch  6, Batch    729, Loss  0.869236, Average Loss  0.870317, Time  0.445300
2021-09-25 10:01:53.010900 : Epoch  6, Batch    367, Loss  0.880610, Average Loss  0.868800, Time  0.449035
2021-09-25 10:01:56.478920 : Epoch  6, Batch    730, Loss  0.865903, Average Loss  0.870345, Time  0.445367
2021-09-25 10:01:59.005832 : Epoch  6, Batch    368, Loss  0.861908, Average Loss  0.868705, Time  0.444499
2021-09-25 10:02:02.606119 : Epoch  6, Batch    731, Loss  0.868873, Average Loss  0.870332, Time  0.456052
2021-09-25 10:02:05.028789 : Epoch  6, Batch    369, Loss  0.867764, Average Loss  0.868692, Time  0.446936
2021-09-25 10:02:08.729854 : Epoch  6, Batch    732, Loss  0.864002, Average Loss  0.870301, Time  0.444871
2021-09-25 10:02:11.023850 : Epoch  6, Batch    370, Loss  0.861818, Average Loss  0.868603, Time  0.444571
2021-09-25 10:02:14.876472 : Epoch  6, Batch    733, Loss  0.868345, Average Loss  0.870325, Time  0.446249
2021-09-25 10:02:17.016990 : Epoch  6, Batch    371, Loss  0.867289, Average Loss  0.868596, Time  0.447154
2021-09-25 10:02:21.015219 : Epoch  6, Batch    734, Loss  0.855844, Average Loss  0.870215, Time  0.457822
2021-09-25 10:02:23.024910 : Epoch  6, Batch    372, Loss  0.870222, Average Loss  0.868684, Time  0.445473
2021-09-25 10:02:27.175588 : Epoch  6, Batch    735, Loss  0.871103, Average Loss  0.870131, Time  0.448283
2021-09-25 10:02:29.028507 : Epoch  6, Batch    373, Loss  0.878514, Average Loss  0.868713, Time  0.447440
2021-09-25 10:02:33.296223 : Epoch  6, Batch    736, Loss  0.875741, Average Loss  0.870130, Time  0.446321
2021-09-25 10:02:35.057832 : Epoch  6, Batch    374, Loss  0.869840, Average Loss  0.868733, Time  0.461804
2021-09-25 10:02:39.416886 : Epoch  6, Batch    737, Loss  0.871137, Average Loss  0.870111, Time  0.444776
2021-09-25 10:02:41.051987 : Epoch  6, Batch    375, Loss  0.865128, Average Loss  0.868732, Time  0.448190
2021-09-25 10:02:45.544748 : Epoch  6, Batch    738, Loss  0.871217, Average Loss  0.870136, Time  0.445241
2021-09-25 10:02:47.043508 : Epoch  6, Batch    376, Loss  0.859809, Average Loss  0.868677, Time  0.445103
2021-09-25 10:02:51.672527 : Epoch  6, Batch    739, Loss  0.872376, Average Loss  0.870296, Time  0.448557
2021-09-25 10:02:53.027155 : Epoch  6, Batch    377, Loss  0.877606, Average Loss  0.868719, Time  0.445048
2021-09-25 10:02:57.792354 : Epoch  6, Batch    740, Loss  0.870357, Average Loss  0.870251, Time  0.447948
2021-09-25 10:02:59.034507 : Epoch  6, Batch    378, Loss  0.874524, Average Loss  0.868735, Time  0.444139
2021-09-25 10:03:03.925105 : Epoch  6, Batch    741, Loss  0.851390, Average Loss  0.870176, Time  0.466362
2021-09-25 10:03:05.044432 : Epoch  6, Batch    379, Loss  0.876208, Average Loss  0.868749, Time  0.449072
2021-09-25 10:03:10.041223 : Epoch  6, Batch    742, Loss  0.873246, Average Loss  0.870260, Time  0.448956
2021-09-25 10:03:11.037374 : Epoch  6, Batch    380, Loss  0.866389, Average Loss  0.868804, Time  0.443761
2021-09-25 10:03:16.149357 : Epoch  6, Batch    743, Loss  0.872155, Average Loss  0.870205, Time  0.445070
2021-09-25 10:03:17.016589 : Epoch  6, Batch    381, Loss  0.867769, Average Loss  0.868847, Time  0.444616
2021-09-25 10:03:22.265790 : Epoch  6, Batch    744, Loss  0.870827, Average Loss  0.870220, Time  0.444982
2021-09-25 10:03:23.029490 : Epoch  6, Batch    382, Loss  0.866233, Average Loss  0.868878, Time  0.460119
2021-09-25 10:03:28.408619 : Epoch  6, Batch    745, Loss  0.856885, Average Loss  0.870151, Time  0.444884
2021-09-25 10:03:29.039291 : Epoch  6, Batch    383, Loss  0.884835, Average Loss  0.869003, Time  0.444319
2021-09-25 10:03:34.523824 : Epoch  6, Batch    746, Loss  0.869610, Average Loss  0.870093, Time  0.446134
2021-09-25 10:03:35.054047 : Epoch  6, Batch    384, Loss  0.865981, Average Loss  0.869018, Time  0.445902
2021-09-25 10:03:40.653757 : Epoch  6, Batch    747, Loss  0.874571, Average Loss  0.870138, Time  0.444988
2021-09-25 10:03:41.034749 : Epoch  6, Batch    385, Loss  0.874146, Average Loss  0.869080, Time  0.445170
2021-09-25 10:03:46.768246 : Epoch  6, Batch    748, Loss  0.870535, Average Loss  0.870129, Time  0.444192
2021-09-25 10:03:47.041348 : Epoch  6, Batch    386, Loss  0.871182, Average Loss  0.869026, Time  0.448462
2021-09-25 10:03:52.882099 : Epoch  6, Batch    749, Loss  0.875448, Average Loss  0.870172, Time  0.460782
2021-09-25 10:03:53.026343 : Epoch  6, Batch    387, Loss  0.867094, Average Loss  0.868916, Time  0.445856
2021-09-25 10:03:58.995171 : Epoch  6, Batch    750, Loss  0.885495, Average Loss  0.870275, Time  0.445350
2021-09-25 10:03:59.044167 : Epoch  6, Batch    388, Loss  0.868839, Average Loss  0.868917, Time  0.445009
2021-09-25 10:04:05.013798 : Epoch  6, Batch    389, Loss  0.856841, Average Loss  0.868808, Time  0.446178
2021-09-25 10:04:05.088821 : Epoch  6, Batch    751, Loss  0.860449, Average Loss  0.870229, Time  0.445117
2021-09-25 10:04:10.947890 : Epoch  6, Batch    390, Loss  0.859827, Average Loss  0.868797, Time  0.452439
2021-09-25 10:04:11.140691 : Epoch  6, Batch    752, Loss  0.871636, Average Loss  0.870189, Time  0.444369
2021-09-25 10:04:16.655314 : Epoch  6, Batch    391, Loss  0.866861, Average Loss  0.868871, Time  0.442201
2021-09-25 10:04:16.951755 : Epoch  6, Batch    753, Loss  0.866106, Average Loss  0.870180, Time  0.443789
2021-09-25 10:04:22.387995 : Epoch  6, Batch    392, Loss  0.864771, Average Loss  0.868787, Time  0.442712
2021-09-25 10:04:22.805450 : Epoch  6, Batch    754, Loss  0.863726, Average Loss  0.870150, Time  0.442985
2021-09-25 10:04:28.077440 : Epoch  6, Batch    393, Loss  0.869805, Average Loss  0.868773, Time  0.443911
2021-09-25 10:04:28.620600 : Epoch  6, Batch    755, Loss  0.862085, Average Loss  0.870072, Time  0.443893
2021-09-25 10:04:33.729417 : Epoch  6, Batch    394, Loss  0.866397, Average Loss  0.868771, Time  0.442429
2021-09-25 10:04:34.415774 : Epoch  6, Batch    756, Loss  0.874544, Average Loss  0.870043, Time  0.453933
2021-09-25 10:04:39.421169 : Epoch  6, Batch    395, Loss  0.868645, Average Loss  0.868796, Time  0.442060
2021-09-25 10:04:40.218168 : Epoch  6, Batch    757, Loss  0.875262, Average Loss  0.870130, Time  0.443054
2021-09-25 10:04:45.207017 : Epoch  6, Batch    396, Loss  0.883354, Average Loss  0.868893, Time  0.442283
2021-09-25 10:04:46.146537 : Epoch  6, Batch    758, Loss  0.861529, Average Loss  0.870174, Time  0.443576
2021-09-25 10:04:50.863457 : Epoch  6, Batch    397, Loss  0.867997, Average Loss  0.868938, Time  0.441617
2021-09-25 10:04:51.927553 : Epoch  6, Batch    759, Loss  0.870361, Average Loss  0.870150, Time  0.443153
2021-09-25 10:04:56.558651 : Epoch  6, Batch    398, Loss  0.868606, Average Loss  0.868942, Time  0.451201
2021-09-25 10:04:57.753505 : Epoch  6, Batch    760, Loss  0.867137, Average Loss  0.870120, Time  0.442574
2021-09-25 10:05:02.220128 : Epoch  6, Batch    399, Loss  0.876486, Average Loss  0.868915, Time  0.443726
2021-09-25 10:05:07.889254 : Epoch  6, Batch    400, Loss  0.880339, Average Loss  0.869088, Time  0.442625
2021-09-25 10:05:13.534926 : Epoch  6, Batch    401, Loss  0.881467, Average Loss  0.869093, Time  0.442775
2021-09-25 10:05:19.168983 : Epoch  6, Batch    402, Loss  0.861998, Average Loss  0.869110, Time  0.441919
2021-09-25 10:05:24.788243 : Epoch  6, Batch    403, Loss  0.875898, Average Loss  0.869199, Time  0.442425
2021-09-25 10:05:30.424372 : Epoch  6, Batch    404, Loss  0.868546, Average Loss  0.869159, Time  0.443327
2021-09-25 10:05:36.109072 : Epoch  6, Batch    405, Loss  0.869410, Average Loss  0.869093, Time  0.444070
2021-09-25 10:05:41.745270 : Epoch  6, Batch    406, Loss  0.867284, Average Loss  0.869119, Time  0.458363
2021-09-25 10:05:47.461296 : Epoch  6, Batch    407, Loss  0.872387, Average Loss  0.869074, Time  0.445687
2021-09-25 10:05:53.157405 : Epoch  6, Batch    408, Loss  0.879538, Average Loss  0.869076, Time  0.442771
2021-09-25 10:05:58.759567 : Epoch  6, Batch    409, Loss  0.867387, Average Loss  0.869066, Time  0.442654
2021-09-25 10:06:04.392350 : Epoch  6, Batch    410, Loss  0.876599, Average Loss  0.869128, Time  0.443047
2021-09-25 10:06:10.173750 : Epoch  6, Batch    411, Loss  0.867495, Average Loss  0.869176, Time  0.443723
2021-09-25 10:06:15.910115 : Epoch  6, Batch    412, Loss  0.862707, Average Loss  0.869120, Time  0.443802
2021-09-25 10:06:21.607811 : Epoch  6, Batch    413, Loss  0.862193, Average Loss  0.869036, Time  0.443400
2021-09-25 10:06:27.300300 : Epoch  6, Batch    414, Loss  0.880344, Average Loss  0.869101, Time  0.451434
2021-09-25 10:06:32.998832 : Epoch  6, Batch    415, Loss  0.873048, Average Loss  0.869091, Time  0.444116
2021-09-25 10:06:38.740503 : Epoch  6, Batch    416, Loss  0.868881, Average Loss  0.869087, Time  0.445393
2021-09-25 10:06:44.407036 : Epoch  6, Batch    417, Loss  0.880509, Average Loss  0.869101, Time  0.441770
2021-09-25 10:06:50.028363 : Epoch  6, Batch    418, Loss  0.871478, Average Loss  0.869090, Time  0.442395
2021-09-25 10:06:55.686664 : Epoch  6, Batch    419, Loss  0.882562, Average Loss  0.869268, Time  0.441836
2021-09-25 10:07:01.323675 : Epoch  6, Batch    420, Loss  0.860297, Average Loss  0.869154, Time  0.443131
2021-09-25 10:07:06.963642 : Epoch  6, Batch    421, Loss  0.877408, Average Loss  0.869198, Time  0.442134
2021-09-25 10:07:12.593980 : Epoch  6, Batch    422, Loss  0.860981, Average Loss  0.869230, Time  0.451911
2021-09-25 10:07:18.256313 : Epoch  6, Batch    423, Loss  0.887997, Average Loss  0.869357, Time  0.442140
2021-09-25 10:07:23.936188 : Epoch  6, Batch    424, Loss  0.882008, Average Loss  0.869402, Time  0.443033
2021-09-25 10:07:29.568498 : Epoch  6, Batch    425, Loss  0.876777, Average Loss  0.869418, Time  0.442650
2021-09-25 10:07:35.222653 : Epoch  6, Batch    426, Loss  0.875968, Average Loss  0.869416, Time  0.443163
2021-09-25 10:07:40.889739 : Epoch  6, Batch    427, Loss  0.857125, Average Loss  0.869351, Time  0.444002
2021-09-25 10:07:46.523278 : Epoch  6, Batch    428, Loss  0.871397, Average Loss  0.869362, Time  0.442647
2021-09-25 10:07:52.267451 : Epoch  6, Batch    429, Loss  0.874709, Average Loss  0.869402, Time  0.445547
2021-09-25 10:07:58.004183 : Epoch  6, Batch    430, Loss  0.892388, Average Loss  0.869565, Time  0.453300
2021-09-25 10:08:03.635354 : Epoch  6, Batch    431, Loss  0.870849, Average Loss  0.869583, Time  0.442768
2021-09-25 10:08:09.321546 : Epoch  6, Batch    432, Loss  0.875628, Average Loss  0.869648, Time  0.441150
2021-09-25 10:08:15.038455 : Epoch  6, Batch    433, Loss  0.874555, Average Loss  0.869698, Time  0.465019
2021-09-25 10:08:20.852453 : Epoch  6, Batch    434, Loss  0.873927, Average Loss  0.869717, Time  0.443004
2021-09-25 10:08:26.533027 : Epoch  6, Batch    435, Loss  0.870822, Average Loss  0.869699, Time  0.443616
2021-09-25 10:08:32.224138 : Epoch  6, Batch    436, Loss  0.856446, Average Loss  0.869610, Time  0.442754
2021-09-25 10:08:37.916020 : Epoch  6, Batch    437, Loss  0.870071, Average Loss  0.869503, Time  0.443051
2021-09-25 10:08:43.699063 : Epoch  6, Batch    438, Loss  0.896004, Average Loss  0.869641, Time  0.454171
2021-09-25 10:08:49.363775 : Epoch  6, Batch    439, Loss  0.884567, Average Loss  0.869769, Time  0.443129
2021-09-25 10:08:54.992760 : Epoch  6, Batch    440, Loss  0.871328, Average Loss  0.869810, Time  0.441943
2021-09-25 10:09:00.797447 : Epoch  6, Batch    441, Loss  0.867652, Average Loss  0.869835, Time  0.444756
2021-09-25 10:09:06.548708 : Epoch  6, Batch    442, Loss  0.855302, Average Loss  0.869717, Time  0.444029
2021-09-25 10:09:12.379514 : Epoch  6, Batch    443, Loss  0.852896, Average Loss  0.869641, Time  0.444239
2021-09-25 10:09:18.090936 : Epoch  6, Batch    444, Loss  0.843369, Average Loss  0.869496, Time  0.442915
2021-09-25 10:09:23.908920 : Epoch  6, Batch    445, Loss  0.865088, Average Loss  0.869505, Time  0.444260
2021-09-25 10:09:29.749233 : Epoch  6, Batch    446, Loss  0.875364, Average Loss  0.869487, Time  0.454972
2021-09-25 10:09:29.863266 : CheckPoint: Validation Loss  0.00015180, Best Loss  0.00014804
2021-09-25 10:09:35.468998 : Epoch  6, Batch    447, Loss  0.876488, Average Loss  0.869493, Time  0.443038
2021-09-25 10:09:35.708183 : Epoch  6, Batch    761, Loss  0.863042, Average Loss  0.870099, Time  0.443484
2021-09-25 10:09:41.182022 : Epoch  6, Batch    448, Loss  0.880360, Average Loss  0.869518, Time  0.444311
2021-09-25 10:09:41.565133 : Epoch  6, Batch    762, Loss  0.886668, Average Loss  0.870246, Time  0.445246
2021-09-25 10:09:47.013674 : Epoch  6, Batch    449, Loss  0.891780, Average Loss  0.869720, Time  0.442786
2021-09-25 10:09:47.538077 : Epoch  6, Batch    763, Loss  0.875482, Average Loss  0.870320, Time  0.443656
2021-09-25 10:09:52.711478 : Epoch  6, Batch    450, Loss  0.864927, Average Loss  0.869774, Time  0.442679
2021-09-25 10:09:53.346844 : Epoch  6, Batch    764, Loss  0.880780, Average Loss  0.870360, Time  0.444721
2021-09-25 10:09:58.465821 : Epoch  6, Batch    451, Loss  0.869708, Average Loss  0.869817, Time  0.444864
2021-09-25 10:09:59.237066 : Epoch  6, Batch    765, Loss  0.870476, Average Loss  0.870293, Time  0.457157
2021-09-25 10:10:04.204076 : Epoch  6, Batch    452, Loss  0.857341, Average Loss  0.869783, Time  0.445558
2021-09-25 10:10:05.129258 : Epoch  6, Batch    766, Loss  0.849143, Average Loss  0.870165, Time  0.444319
2021-09-25 10:10:09.920336 : Epoch  6, Batch    453, Loss  0.875005, Average Loss  0.869815, Time  0.446167
2021-09-25 10:10:10.977284 : Epoch  6, Batch    767, Loss  0.870176, Average Loss  0.870096, Time  0.443923
2021-09-25 10:10:15.680987 : Epoch  6, Batch    454, Loss  0.870420, Average Loss  0.869842, Time  0.457142
2021-09-25 10:10:16.842699 : Epoch  6, Batch    768, Loss  0.880508, Average Loss  0.870189, Time  0.443433
2021-09-25 10:10:21.453166 : Epoch  6, Batch    455, Loss  0.859683, Average Loss  0.869801, Time  0.443180
2021-09-25 10:10:22.751102 : Epoch  6, Batch    769, Loss  0.884710, Average Loss  0.870325, Time  0.442642
2021-09-25 10:10:27.175844 : Epoch  6, Batch    456, Loss  0.869477, Average Loss  0.869714, Time  0.442731
2021-09-25 10:10:28.607894 : Epoch  6, Batch    770, Loss  0.878655, Average Loss  0.870282, Time  0.443109
2021-09-25 10:10:32.941380 : Epoch  6, Batch    457, Loss  0.880503, Average Loss  0.869771, Time  0.443463
2021-09-25 10:10:34.498770 : Epoch  6, Batch    771, Loss  0.865251, Average Loss  0.870274, Time  0.443304
2021-09-25 10:10:38.705900 : Epoch  6, Batch    458, Loss  0.866196, Average Loss  0.869823, Time  0.444057
2021-09-25 10:10:40.416656 : Epoch  6, Batch    772, Loss  0.872933, Average Loss  0.870324, Time  0.443839
2021-09-25 10:10:44.457829 : Epoch  6, Batch    459, Loss  0.876084, Average Loss  0.869769, Time  0.444508
2021-09-25 10:10:46.312832 : Epoch  6, Batch    773, Loss  0.849282, Average Loss  0.870210, Time  0.458828
2021-09-25 10:10:50.223529 : Epoch  6, Batch    460, Loss  0.889891, Average Loss  0.869851, Time  0.443587
2021-09-25 10:10:52.244571 : Epoch  6, Batch    774, Loss  0.864644, Average Loss  0.870177, Time  0.445601
2021-09-25 10:10:58.209467 : Epoch  6, Batch    775, Loss  0.859161, Average Loss  0.870114, Time  0.445498
2021-09-25 10:11:04.135205 : Epoch  6, Batch    776, Loss  0.873402, Average Loss  0.870121, Time  0.444129
2021-09-25 10:11:10.053819 : Epoch  6, Batch    777, Loss  0.876846, Average Loss  0.870135, Time  0.442522
2021-09-25 10:11:15.806903 : Epoch  6, Batch    778, Loss  0.856984, Average Loss  0.870127, Time  0.444281
2021-09-25 10:11:21.703194 : Epoch  6, Batch    779, Loss  0.876754, Average Loss  0.870114, Time  0.443772
2021-09-25 10:11:27.593493 : Epoch  6, Batch    780, Loss  0.874154, Average Loss  0.870155, Time  0.443785
2021-09-25 10:11:33.481771 : Epoch  6, Batch    781, Loss  0.871009, Average Loss  0.870196, Time  0.456207
2021-09-25 10:11:39.346030 : Epoch  6, Batch    782, Loss  0.881127, Average Loss  0.870212, Time  0.444170
2021-09-25 10:11:45.257920 : Epoch  6, Batch    783, Loss  0.865474, Average Loss  0.870219, Time  0.443620
2021-09-25 10:11:51.148158 : Epoch  6, Batch    784, Loss  0.871357, Average Loss  0.870174, Time  0.444742
2021-09-25 10:11:57.054885 : Epoch  6, Batch    785, Loss  0.858105, Average Loss  0.870041, Time  0.445075
2021-09-25 10:12:03.054495 : Epoch  6, Batch    786, Loss  0.867680, Average Loss  0.870049, Time  0.443932
2021-09-25 10:12:08.921051 : Epoch  6, Batch    787, Loss  0.883431, Average Loss  0.870116, Time  0.444884
2021-09-25 10:12:14.831527 : Epoch  6, Batch    788, Loss  0.872539, Average Loss  0.870097, Time  0.445780
2021-09-25 10:12:20.751942 : Epoch  6, Batch    789, Loss  0.864819, Average Loss  0.870068, Time  0.458501
2021-09-25 10:12:26.697395 : Epoch  6, Batch    790, Loss  0.860785, Average Loss  0.870071, Time  0.444712
2021-09-25 10:12:32.584721 : Epoch  6, Batch    791, Loss  0.873493, Average Loss  0.870035, Time  0.444238
2021-09-25 10:12:38.535554 : Epoch  6, Batch    792, Loss  0.892263, Average Loss  0.870128, Time  0.444733
2021-09-25 10:12:44.514041 : Epoch  6, Batch    793, Loss  0.859635, Average Loss  0.870038, Time  0.443775
2021-09-25 10:12:50.396741 : Epoch  6, Batch    794, Loss  0.866670, Average Loss  0.870012, Time  0.446140
2021-09-25 10:12:56.282493 : Epoch  6, Batch    795, Loss  0.862503, Average Loss  0.869974, Time  0.445434
2021-09-25 10:13:02.212647 : Epoch  6, Batch    796, Loss  0.863331, Average Loss  0.869962, Time  0.446118
2021-09-25 10:13:08.258750 : Epoch  6, Batch    797, Loss  0.865099, Average Loss  0.869810, Time  0.457784
2021-09-25 10:13:14.184371 : Epoch  6, Batch    798, Loss  0.885210, Average Loss  0.869891, Time  0.445860
2021-09-25 10:13:20.202457 : Epoch  6, Batch    799, Loss  0.868272, Average Loss  0.869936, Time  0.444341
2021-09-25 10:13:26.097323 : Epoch  6, Batch    800, Loss  0.870672, Average Loss  0.869964, Time  0.443872
2021-09-25 10:13:31.943492 : Epoch  6, Batch    801, Loss  0.880978, Average Loss  0.869985, Time  0.445567
2021-09-25 10:13:37.784024 : Epoch  6, Batch    802, Loss  0.867329, Average Loss  0.869958, Time  0.445889
2021-09-25 10:13:43.732046 : Epoch  6, Batch    803, Loss  0.884060, Average Loss  0.870050, Time  0.444113
2021-09-25 10:13:49.586307 : Epoch  6, Batch    804, Loss  0.871901, Average Loss  0.870052, Time  0.443745
2021-09-25 10:13:55.419699 : Epoch  6, Batch    805, Loss  0.861050, Average Loss  0.870056, Time  0.453186
2021-09-25 10:14:01.335156 : Epoch  6, Batch    806, Loss  0.875843, Average Loss  0.870030, Time  0.443940
2021-09-25 10:14:07.247522 : Epoch  6, Batch    807, Loss  0.872064, Average Loss  0.870047, Time  0.444333
2021-09-25 10:14:13.141998 : Epoch  6, Batch    808, Loss  0.863919, Average Loss  0.870039, Time  0.443433
2021-09-25 10:14:19.024058 : Epoch  6, Batch    809, Loss  0.846102, Average Loss  0.869879, Time  0.447207
2021-09-25 10:14:24.919498 : Epoch  6, Batch    810, Loss  0.880470, Average Loss  0.869958, Time  0.444660
2021-09-25 10:14:30.840657 : Epoch  6, Batch    811, Loss  0.863547, Average Loss  0.869942, Time  0.444186
2021-09-25 10:14:36.743046 : Epoch  6, Batch    812, Loss  0.877339, Average Loss  0.869963, Time  0.443168
2021-09-25 10:14:42.683981 : Epoch  6, Batch    813, Loss  0.857703, Average Loss  0.869799, Time  0.455870
2021-09-25 10:14:48.535656 : Epoch  6, Batch    814, Loss  0.881259, Average Loss  0.869874, Time  0.443731
2021-09-25 10:14:54.438988 : Epoch  6, Batch    815, Loss  0.871207, Average Loss  0.869904, Time  0.444642
2021-09-25 10:15:00.345696 : Epoch  6, Batch    816, Loss  0.867104, Average Loss  0.869855, Time  0.443715
2021-09-25 10:15:06.267871 : Epoch  6, Batch    817, Loss  0.866702, Average Loss  0.869866, Time  0.443757
2021-09-25 10:15:12.218472 : Epoch  6, Batch    818, Loss  0.870081, Average Loss  0.869873, Time  0.445510
2021-09-25 10:15:18.113271 : Epoch  6, Batch    819, Loss  0.855952, Average Loss  0.869806, Time  0.445874
2021-09-25 10:15:24.047200 : CheckPoint: Validation Loss  0.00015063, Best Loss  0.00014758
2021-09-25 10:15:24.091262 : Epoch  6, Batch    820, Loss  0.860522, Average Loss  0.869741, Time  0.446045
2021-09-25 10:15:29.860481 : Epoch  6, Batch    461, Loss  0.880748, Average Loss  0.869872, Time  0.445525
2021-09-25 10:15:30.007140 : Epoch  6, Batch    821, Loss  0.865408, Average Loss  0.869712, Time  0.456470
2021-09-25 10:15:35.669688 : Epoch  6, Batch    462, Loss  0.894795, Average Loss  0.870058, Time  0.444245
2021-09-25 10:15:35.929366 : Epoch  6, Batch    822, Loss  0.854629, Average Loss  0.869709, Time  0.444819
2021-09-25 10:15:41.421978 : Epoch  6, Batch    463, Loss  0.864948, Average Loss  0.869981, Time  0.458926
2021-09-25 10:15:41.786073 : Epoch  6, Batch    823, Loss  0.874275, Average Loss  0.869678, Time  0.446135
2021-09-25 10:15:47.419347 : Epoch  6, Batch    464, Loss  0.871515, Average Loss  0.870011, Time  0.449018
2021-09-25 10:15:47.763817 : Epoch  6, Batch    824, Loss  0.856888, Average Loss  0.869578, Time  0.446094
2021-09-25 10:15:53.542764 : Epoch  6, Batch    465, Loss  0.869853, Average Loss  0.870088, Time  0.445116
2021-09-25 10:15:53.675893 : Epoch  6, Batch    825, Loss  0.864567, Average Loss  0.869610, Time  0.444144
2021-09-25 10:15:59.316963 : Epoch  6, Batch    466, Loss  0.881750, Average Loss  0.870123, Time  0.444735
2021-09-25 10:15:59.553372 : Epoch  6, Batch    826, Loss  0.874068, Average Loss  0.869598, Time  0.444158
2021-09-25 10:16:05.043719 : Epoch  6, Batch    467, Loss  0.863323, Average Loss  0.870083, Time  0.445153
2021-09-25 10:16:05.395687 : Epoch  6, Batch    827, Loss  0.858914, Average Loss  0.869621, Time  0.445649
2021-09-25 10:16:10.934486 : Epoch  6, Batch    468, Loss  0.882024, Average Loss  0.870144, Time  0.443447
2021-09-25 10:16:11.359008 : Epoch  6, Batch    828, Loss  0.859276, Average Loss  0.869504, Time  0.461996
2021-09-25 10:16:16.835310 : Epoch  6, Batch    469, Loss  0.845383, Average Loss  0.870068, Time  0.448290
2021-09-25 10:16:17.221735 : Epoch  6, Batch    829, Loss  0.871007, Average Loss  0.869485, Time  0.444091
2021-09-25 10:16:22.695850 : Epoch  6, Batch    470, Loss  0.862238, Average Loss  0.870029, Time  0.443647
2021-09-25 10:16:23.134971 : Epoch  6, Batch    830, Loss  0.863811, Average Loss  0.869443, Time  0.447508
2021-09-25 10:16:28.490458 : Epoch  6, Batch    471, Loss  0.863295, Average Loss  0.869905, Time  0.456910
2021-09-25 10:16:28.969896 : Epoch  6, Batch    831, Loss  0.870107, Average Loss  0.869379, Time  0.444968
2021-09-25 10:16:34.286621 : Epoch  6, Batch    472, Loss  0.870842, Average Loss  0.869915, Time  0.442823
2021-09-25 10:16:34.836737 : Epoch  6, Batch    832, Loss  0.855815, Average Loss  0.869370, Time  0.445994
2021-09-25 10:16:40.071218 : Epoch  6, Batch    473, Loss  0.857288, Average Loss  0.869871, Time  0.443153
2021-09-25 10:16:40.685432 : Epoch  6, Batch    833, Loss  0.873055, Average Loss  0.869431, Time  0.449394
2021-09-25 10:16:45.826696 : Epoch  6, Batch    474, Loss  0.879398, Average Loss  0.869962, Time  0.443925
2021-09-25 10:16:46.516124 : Epoch  6, Batch    834, Loss  0.880334, Average Loss  0.869562, Time  0.445910
2021-09-25 10:16:51.603352 : Epoch  6, Batch    475, Loss  0.870564, Average Loss  0.869943, Time  0.445464
2021-09-25 10:16:52.406151 : Epoch  6, Batch    835, Loss  0.888399, Average Loss  0.869708, Time  0.444389
2021-09-25 10:16:57.376412 : Epoch  6, Batch    476, Loss  0.881292, Average Loss  0.869988, Time  0.445222
2021-09-25 10:16:58.301173 : Epoch  6, Batch    836, Loss  0.860450, Average Loss  0.869611, Time  0.453137
2021-09-25 10:17:03.162753 : Epoch  6, Batch    477, Loss  0.869523, Average Loss  0.869976, Time  0.443552
2021-09-25 10:17:04.150399 : Epoch  6, Batch    837, Loss  0.863757, Average Loss  0.869607, Time  0.445864
2021-09-25 10:17:09.062081 : Epoch  6, Batch    478, Loss  0.867794, Average Loss  0.869954, Time  0.443569
2021-09-25 10:17:10.118322 : Epoch  6, Batch    838, Loss  0.870563, Average Loss  0.869619, Time  0.443259
2021-09-25 10:17:14.806621 : Epoch  6, Batch    479, Loss  0.880038, Average Loss  0.869988, Time  0.458567
2021-09-25 10:17:15.990417 : Epoch  6, Batch    839, Loss  0.870238, Average Loss  0.869650, Time  0.444033
2021-09-25 10:17:20.549099 : Epoch  6, Batch    480, Loss  0.884837, Average Loss  0.870164, Time  0.444722
2021-09-25 10:17:21.856271 : Epoch  6, Batch    840, Loss  0.851911, Average Loss  0.869576, Time  0.444836
2021-09-25 10:17:26.303645 : Epoch  6, Batch    481, Loss  0.886038, Average Loss  0.870272, Time  0.444181
2021-09-25 10:17:27.715710 : Epoch  6, Batch    841, Loss  0.881045, Average Loss  0.869597, Time  0.445113
2021-09-25 10:17:32.060182 : Epoch  6, Batch    482, Loss  0.878183, Average Loss  0.870354, Time  0.444657
2021-09-25 10:17:33.572864 : Epoch  6, Batch    842, Loss  0.875279, Average Loss  0.869691, Time  0.444331
2021-09-25 10:17:37.817509 : Epoch  6, Batch    483, Loss  0.874859, Average Loss  0.870345, Time  0.444774
2021-09-25 10:17:39.440054 : Epoch  6, Batch    843, Loss  0.875738, Average Loss  0.869797, Time  0.443652
2021-09-25 10:17:43.586645 : Epoch  6, Batch    484, Loss  0.866968, Average Loss  0.870281, Time  0.444932
2021-09-25 10:17:45.358323 : Epoch  6, Batch    844, Loss  0.873104, Average Loss  0.869791, Time  0.456472
2021-09-25 10:17:49.422951 : Epoch  6, Batch    485, Loss  0.870343, Average Loss  0.870309, Time  0.444679
2021-09-25 10:17:51.310911 : Epoch  6, Batch    845, Loss  0.862665, Average Loss  0.869695, Time  0.443706
2021-09-25 10:17:55.244125 : Epoch  6, Batch    486, Loss  0.870826, Average Loss  0.870272, Time  0.444485
2021-09-25 10:17:57.267401 : Epoch  6, Batch    846, Loss  0.876833, Average Loss  0.869798, Time  0.442891
2021-09-25 10:18:00.983005 : Epoch  6, Batch    487, Loss  0.860320, Average Loss  0.870215, Time  0.443198
2021-09-25 10:18:03.148827 : Epoch  6, Batch    847, Loss  0.851340, Average Loss  0.869751, Time  0.444130
2021-09-25 10:18:06.778429 : Epoch  6, Batch    488, Loss  0.867557, Average Loss  0.870156, Time  0.457161
2021-09-25 10:18:09.016679 : Epoch  6, Batch    848, Loss  0.879384, Average Loss  0.869748, Time  0.444664
2021-09-25 10:18:12.559660 : Epoch  6, Batch    489, Loss  0.875579, Average Loss  0.870190, Time  0.443419
2021-09-25 10:18:14.902253 : Epoch  6, Batch    849, Loss  0.877640, Average Loss  0.869676, Time  0.445314
2021-09-25 10:18:18.334989 : Epoch  6, Batch    490, Loss  0.879374, Average Loss  0.870291, Time  0.443100
2021-09-25 10:18:20.782876 : Epoch  6, Batch    850, Loss  0.878018, Average Loss  0.869718, Time  0.443784
2021-09-25 10:18:24.068721 : Epoch  6, Batch    491, Loss  0.875743, Average Loss  0.870217, Time  0.443578
2021-09-25 10:18:26.654276 : Epoch  6, Batch    851, Loss  0.865838, Average Loss  0.869660, Time  0.443846
2021-09-25 10:18:29.826456 : Epoch  6, Batch    492, Loss  0.890851, Average Loss  0.870370, Time  0.442193
2021-09-25 10:18:32.466082 : Epoch  6, Batch    852, Loss  0.864363, Average Loss  0.869673, Time  0.455697
2021-09-25 10:18:35.562441 : Epoch  6, Batch    493, Loss  0.871317, Average Loss  0.870471, Time  0.446080
2021-09-25 10:18:38.431458 : Epoch  6, Batch    853, Loss  0.875654, Average Loss  0.869603, Time  0.443510
2021-09-25 10:18:41.372619 : Epoch  6, Batch    494, Loss  0.866462, Average Loss  0.870460, Time  0.444134
2021-09-25 10:18:44.334387 : Epoch  6, Batch    854, Loss  0.869294, Average Loss  0.869575, Time  0.443708
2021-09-25 10:18:47.119205 : Epoch  6, Batch    495, Loss  0.872207, Average Loss  0.870510, Time  0.444651
2021-09-25 10:18:50.150966 : Epoch  6, Batch    855, Loss  0.874789, Average Loss  0.869642, Time  0.444759
2021-09-25 10:18:52.871564 : Epoch  6, Batch    496, Loss  0.874727, Average Loss  0.870577, Time  0.462110
2021-09-25 10:18:56.051462 : Epoch  6, Batch    856, Loss  0.848443, Average Loss  0.869526, Time  0.445099
2021-09-25 10:18:58.654451 : Epoch  6, Batch    497, Loss  0.863433, Average Loss  0.870591, Time  0.444089
2021-09-25 10:19:02.042366 : Epoch  6, Batch    857, Loss  0.880027, Average Loss  0.869643, Time  0.445908
2021-09-25 10:19:04.585331 : Epoch  6, Batch    498, Loss  0.854860, Average Loss  0.870576, Time  0.443167
2021-09-25 10:19:08.014986 : Epoch  6, Batch    858, Loss  0.873217, Average Loss  0.869625, Time  0.445343
2021-09-25 10:19:10.412305 : Epoch  6, Batch    499, Loss  0.883427, Average Loss  0.870599, Time  0.443174
2021-09-25 10:19:13.923797 : Epoch  6, Batch    859, Loss  0.893956, Average Loss  0.869732, Time  0.444492
2021-09-25 10:19:16.237456 : Epoch  6, Batch    500, Loss  0.880647, Average Loss  0.870700, Time  0.444948
2021-09-25 10:19:19.945762 : Epoch  6, Batch    860, Loss  0.878616, Average Loss  0.869855, Time  0.456563
2021-09-25 10:19:22.106120 : Epoch  6, Batch    501, Loss  0.871128, Average Loss  0.870642, Time  0.445834
2021-09-25 10:19:27.870429 : Epoch  6, Batch    502, Loss  0.874608, Average Loss  0.870616, Time  0.442748
2021-09-25 10:19:33.683291 : Epoch  6, Batch    503, Loss  0.860318, Average Loss  0.870639, Time  0.442379
2021-09-25 10:19:39.415495 : Epoch  6, Batch    504, Loss  0.859222, Average Loss  0.870538, Time  0.454680
2021-09-25 10:19:45.189276 : Epoch  6, Batch    505, Loss  0.864274, Average Loss  0.870554, Time  0.442740
2021-09-25 10:19:50.933959 : Epoch  6, Batch    506, Loss  0.879406, Average Loss  0.870591, Time  0.443930
2021-09-25 10:19:56.697314 : Epoch  6, Batch    507, Loss  0.875267, Average Loss  0.870675, Time  0.443560
2021-09-25 10:20:02.472895 : Epoch  6, Batch    508, Loss  0.878482, Average Loss  0.870704, Time  0.442408
2021-09-25 10:20:08.312041 : Epoch  6, Batch    509, Loss  0.885000, Average Loss  0.870897, Time  0.445055
2021-09-25 10:20:14.035781 : Epoch  6, Batch    510, Loss  0.888071, Average Loss  0.871004, Time  0.443283
2021-09-25 10:20:19.739051 : Epoch  6, Batch    511, Loss  0.869754, Average Loss  0.871027, Time  0.442607
2021-09-25 10:20:25.552859 : Epoch  6, Batch    512, Loss  0.868296, Average Loss  0.871053, Time  0.456322
2021-09-25 10:20:31.300479 : Epoch  6, Batch    513, Loss  0.866113, Average Loss  0.870999, Time  0.443186
2021-09-25 10:20:37.074488 : Epoch  6, Batch    514, Loss  0.874575, Average Loss  0.871112, Time  0.445408
2021-09-25 10:20:42.950420 : Epoch  6, Batch    515, Loss  0.865090, Average Loss  0.871074, Time  0.445785
2021-09-25 10:20:48.781816 : Epoch  6, Batch    516, Loss  0.861180, Average Loss  0.870990, Time  0.445737
2021-09-25 10:20:54.586076 : Epoch  6, Batch    517, Loss  0.875901, Average Loss  0.871018, Time  0.443511
2021-09-25 10:21:00.406115 : Epoch  6, Batch    518, Loss  0.869553, Average Loss  0.870990, Time  0.443590
2021-09-25 10:21:06.155621 : Epoch  6, Batch    519, Loss  0.865959, Average Loss  0.870980, Time  0.443017
2021-09-25 10:21:11.953181 : Epoch  6, Batch    520, Loss  0.858664, Average Loss  0.870860, Time  0.460234
2021-09-25 10:21:17.766595 : Epoch  6, Batch    521, Loss  0.870531, Average Loss  0.870798, Time  0.447518
2021-09-25 10:21:23.552865 : Epoch  6, Batch    522, Loss  0.874580, Average Loss  0.870827, Time  0.443775
2021-09-25 10:21:29.329775 : Epoch  6, Batch    523, Loss  0.877458, Average Loss  0.870942, Time  0.442319
2021-09-25 10:21:35.086895 : Epoch  6, Batch    524, Loss  0.870608, Average Loss  0.871005, Time  0.443508
2021-09-25 10:21:40.857557 : Epoch  6, Batch    525, Loss  0.857969, Average Loss  0.870963, Time  0.444768
2021-09-25 10:21:46.580468 : Epoch  6, Batch    526, Loss  0.859470, Average Loss  0.870895, Time  0.445272
2021-09-25 10:21:52.480788 : Epoch  6, Batch    527, Loss  0.861943, Average Loss  0.870908, Time  0.443050
2021-09-25 10:21:58.231862 : Epoch  6, Batch    528, Loss  0.882837, Average Loss  0.870892, Time  0.464637
2021-09-25 10:22:04.174799 : Epoch  6, Batch    529, Loss  0.881287, Average Loss  0.870941, Time  0.443766
2021-09-25 10:22:09.993792 : Epoch  6, Batch    530, Loss  0.876872, Average Loss  0.870973, Time  0.443777
2021-09-25 10:22:15.767281 : Epoch  6, Batch    531, Loss  0.888762, Average Loss  0.871149, Time  0.445722
2021-09-25 10:22:21.633155 : Epoch  6, Batch    532, Loss  0.868000, Average Loss  0.871083, Time  0.446399
2021-09-25 10:22:27.451028 : Epoch  6, Batch    533, Loss  0.860690, Average Loss  0.871024, Time  0.445247
2021-09-25 10:22:33.226179 : Epoch  6, Batch    534, Loss  0.867139, Average Loss  0.871002, Time  0.444129
2021-09-25 10:22:38.943453 : Epoch  6, Batch    535, Loss  0.869686, Average Loss  0.871063, Time  0.444618
2021-09-25 10:22:44.711964 : Epoch  6, Batch    536, Loss  0.866228, Average Loss  0.871062, Time  0.457353
2021-09-25 10:22:50.464307 : Epoch  6, Batch    537, Loss  0.880645, Average Loss  0.871133, Time  0.444479
2021-09-25 10:22:56.223645 : Epoch  6, Batch    538, Loss  0.873791, Average Loss  0.871165, Time  0.445021
2021-09-25 10:23:02.039623 : Epoch  6, Batch    539, Loss  0.881706, Average Loss  0.871248, Time  0.443379
2021-09-25 10:23:07.784745 : Epoch  6, Batch    540, Loss  0.879124, Average Loss  0.871312, Time  0.444763
2021-09-25 10:23:13.589862 : Epoch  6, Batch    541, Loss  0.873434, Average Loss  0.871323, Time  0.443835
2021-09-25 10:23:19.480836 : Epoch  6, Batch    542, Loss  0.870113, Average Loss  0.871320, Time  0.442320
2021-09-25 10:23:25.232312 : Epoch  6, Batch    543, Loss  0.878298, Average Loss  0.871393, Time  0.445149
2021-09-25 10:23:31.084375 : Epoch  6, Batch    544, Loss  0.864343, Average Loss  0.871280, Time  0.454543
2021-09-25 10:23:36.863112 : Epoch  6, Batch    545, Loss  0.872736, Average Loss  0.871352, Time  0.445602
2021-09-25 10:23:42.638532 : Epoch  6, Batch    546, Loss  0.857603, Average Loss  0.871343, Time  0.444431
2021-09-25 10:23:48.483062 : Epoch  6, Batch    547, Loss  0.877991, Average Loss  0.871311, Time  0.444816
2021-09-25 10:23:54.263866 : Epoch  6, Batch    548, Loss  0.875862, Average Loss  0.871273, Time  0.443632
2021-09-25 10:23:56.174178 : CheckPoint: Validation Loss  0.00015225, Best Loss  0.00014804
2021-09-25 10:24:00.026376 : Epoch  6, Batch    549, Loss  0.874136, Average Loss  0.871330, Time  0.445979
2021-09-25 10:24:02.135996 : Epoch  6, Batch    861, Loss  0.855230, Average Loss  0.869790, Time  0.444673
2021-09-25 10:24:05.872337 : Epoch  6, Batch    550, Loss  0.866218, Average Loss  0.871328, Time  0.443492
2021-09-25 10:24:08.077728 : Epoch  6, Batch    862, Loss  0.845640, Average Loss  0.869612, Time  0.445005
2021-09-25 10:24:11.640767 : Epoch  6, Batch    551, Loss  0.867141, Average Loss  0.871269, Time  0.442876
2021-09-25 10:24:13.985325 : Epoch  6, Batch    863, Loss  0.866934, Average Loss  0.869588, Time  0.445592
2021-09-25 10:24:17.422920 : Epoch  6, Batch    552, Loss  0.867787, Average Loss  0.871269, Time  0.457543
2021-09-25 10:24:19.901424 : Epoch  6, Batch    864, Loss  0.856099, Average Loss  0.869577, Time  0.446531
2021-09-25 10:24:23.247551 : Epoch  6, Batch    553, Loss  0.857676, Average Loss  0.871246, Time  0.446070
2021-09-25 10:24:25.823241 : Epoch  6, Batch    865, Loss  0.862701, Average Loss  0.869530, Time  0.444161
2021-09-25 10:24:29.034400 : Epoch  6, Batch    554, Loss  0.870712, Average Loss  0.871319, Time  0.444444
2021-09-25 10:24:31.728632 : Epoch  6, Batch    866, Loss  0.870616, Average Loss  0.869535, Time  0.443476
2021-09-25 10:24:34.782957 : Epoch  6, Batch    555, Loss  0.878626, Average Loss  0.871391, Time  0.445282
2021-09-25 10:24:37.638874 : Epoch  6, Batch    867, Loss  0.864574, Average Loss  0.869509, Time  0.445240
2021-09-25 10:24:40.599867 : Epoch  6, Batch    556, Loss  0.874907, Average Loss  0.871442, Time  0.445253
2021-09-25 10:24:43.651443 : Epoch  6, Batch    868, Loss  0.872834, Average Loss  0.869559, Time  0.457286
2021-09-25 10:24:46.444935 : Epoch  6, Batch    557, Loss  0.864596, Average Loss  0.871459, Time  0.443716
2021-09-25 10:24:49.608933 : Epoch  6, Batch    869, Loss  0.866030, Average Loss  0.869483, Time  0.445679
2021-09-25 10:24:52.225097 : Epoch  6, Batch    558, Loss  0.862471, Average Loss  0.871435, Time  0.443030
2021-09-25 10:24:55.470838 : Epoch  6, Batch    870, Loss  0.874844, Average Loss  0.869516, Time  0.442539
2021-09-25 10:24:57.973140 : Epoch  6, Batch    559, Loss  0.865142, Average Loss  0.871348, Time  0.443896
2021-09-25 10:25:01.357116 : Epoch  6, Batch    871, Loss  0.862563, Average Loss  0.869476, Time  0.444051
2021-09-25 10:25:03.776889 : Epoch  6, Batch    560, Loss  0.881173, Average Loss  0.871372, Time  0.458156
2021-09-25 10:25:07.313508 : Epoch  6, Batch    872, Loss  0.870353, Average Loss  0.869437, Time  0.447793
2021-09-25 10:25:13.236981 : Epoch  6, Batch    873, Loss  0.867417, Average Loss  0.869427, Time  0.447296
2021-09-25 10:25:19.229244 : Epoch  6, Batch    874, Loss  0.874400, Average Loss  0.869443, Time  0.445968
2021-09-25 10:25:25.157481 : Epoch  6, Batch    875, Loss  0.861695, Average Loss  0.869381, Time  0.444790
2021-09-25 10:25:31.113011 : Epoch  6, Batch    876, Loss  0.865665, Average Loss  0.869402, Time  0.454417
2021-09-25 10:25:37.182385 : Epoch  6, Batch    877, Loss  0.862011, Average Loss  0.869320, Time  0.444319
2021-09-25 10:25:43.112128 : Epoch  6, Batch    878, Loss  0.866620, Average Loss  0.869266, Time  0.444149
2021-09-25 10:25:48.998849 : Epoch  6, Batch    879, Loss  0.853279, Average Loss  0.869199, Time  0.443848
2021-09-25 10:25:54.903530 : Epoch  6, Batch    880, Loss  0.861139, Average Loss  0.869186, Time  0.445172
2021-09-25 10:26:00.830569 : Epoch  6, Batch    881, Loss  0.867202, Average Loss  0.869223, Time  0.444647
2021-09-25 10:26:06.767138 : Epoch  6, Batch    882, Loss  0.872640, Average Loss  0.869219, Time  0.445085
2021-09-25 10:26:12.720492 : Epoch  6, Batch    883, Loss  0.855342, Average Loss  0.869119, Time  0.457224
2021-09-25 10:26:18.650209 : Epoch  6, Batch    884, Loss  0.876938, Average Loss  0.869185, Time  0.445276
2021-09-25 10:26:24.604793 : Epoch  6, Batch    885, Loss  0.871383, Average Loss  0.869200, Time  0.445518
2021-09-25 10:26:30.477132 : Epoch  6, Batch    886, Loss  0.879374, Average Loss  0.869260, Time  0.445964
2021-09-25 10:26:36.435238 : Epoch  6, Batch    887, Loss  0.866566, Average Loss  0.869216, Time  0.443825
2021-09-25 10:26:42.312926 : Epoch  6, Batch    888, Loss  0.877977, Average Loss  0.869183, Time  0.444088
2021-09-25 10:26:48.230127 : Epoch  6, Batch    889, Loss  0.871570, Average Loss  0.869238, Time  0.443424
2021-09-25 10:26:54.140216 : Epoch  6, Batch    890, Loss  0.871905, Average Loss  0.869246, Time  0.444847
2021-09-25 10:27:00.006781 : Epoch  6, Batch    891, Loss  0.871156, Average Loss  0.869216, Time  0.456294
2021-09-25 10:27:05.881949 : Epoch  6, Batch    892, Loss  0.865648, Average Loss  0.869175, Time  0.444688
2021-09-25 10:27:11.740537 : Epoch  6, Batch    893, Loss  0.877659, Average Loss  0.869256, Time  0.443909
2021-09-25 10:27:17.639322 : Epoch  6, Batch    894, Loss  0.868896, Average Loss  0.869190, Time  0.444202
2021-09-25 10:27:23.529807 : Epoch  6, Batch    895, Loss  0.878577, Average Loss  0.869191, Time  0.444714
2021-09-25 10:27:29.450909 : Epoch  6, Batch    896, Loss  0.869379, Average Loss  0.869246, Time  0.443944
2021-09-25 10:27:35.373181 : Epoch  6, Batch    897, Loss  0.858474, Average Loss  0.869248, Time  0.444292
2021-09-25 10:27:41.244030 : Epoch  6, Batch    898, Loss  0.862164, Average Loss  0.869185, Time  0.444554
2021-09-25 10:27:47.141624 : Epoch  6, Batch    899, Loss  0.851194, Average Loss  0.869107, Time  0.456048
2021-09-25 10:27:53.100404 : Epoch  6, Batch    900, Loss  0.867978, Average Loss  0.869072, Time  0.445905
2021-09-25 10:27:59.122862 : Epoch  6, Batch    901, Loss  0.868079, Average Loss  0.869113, Time  0.446321
2021-09-25 10:28:05.125154 : Epoch  6, Batch    902, Loss  0.872932, Average Loss  0.869040, Time  0.445901
2021-09-25 10:28:11.004697 : Epoch  6, Batch    903, Loss  0.876345, Average Loss  0.869146, Time  0.445738
2021-09-25 10:28:16.874797 : Epoch  6, Batch    904, Loss  0.865563, Average Loss  0.869081, Time  0.444735
2021-09-25 10:28:22.794766 : Epoch  6, Batch    905, Loss  0.864423, Average Loss  0.869051, Time  0.445031
2021-09-25 10:28:28.681560 : Epoch  6, Batch    906, Loss  0.859966, Average Loss  0.869106, Time  0.445304
2021-09-25 10:28:34.555904 : Epoch  6, Batch    907, Loss  0.865909, Average Loss  0.869117, Time  0.458921
2021-09-25 10:28:40.517539 : Epoch  6, Batch    908, Loss  0.876182, Average Loss  0.869219, Time  0.445369
2021-09-25 10:28:46.515570 : Epoch  6, Batch    909, Loss  0.872129, Average Loss  0.869187, Time  0.443770
2021-09-25 10:28:52.380102 : Epoch  6, Batch    910, Loss  0.877766, Average Loss  0.869176, Time  0.444445
2021-09-25 10:28:58.341768 : Epoch  6, Batch    911, Loss  0.875294, Average Loss  0.869203, Time  0.443117
2021-09-25 10:29:04.292277 : Epoch  6, Batch    912, Loss  0.873512, Average Loss  0.869248, Time  0.444071
2021-09-25 10:29:10.214104 : Epoch  6, Batch    913, Loss  0.875283, Average Loss  0.869251, Time  0.443956
2021-09-25 10:29:16.153774 : Epoch  6, Batch    914, Loss  0.887964, Average Loss  0.869341, Time  0.447579
2021-09-25 10:29:22.208134 : Epoch  6, Batch    915, Loss  0.872052, Average Loss  0.869370, Time  0.457936
2021-09-25 10:29:28.202437 : Epoch  6, Batch    916, Loss  0.865582, Average Loss  0.869382, Time  0.446220
2021-09-25 10:29:34.242018 : Epoch  6, Batch    917, Loss  0.867919, Average Loss  0.869331, Time  0.445954
2021-09-25 10:29:37.941811 : CheckPoint: Validation Loss  0.00015113, Best Loss  0.00014758
2021-09-25 10:29:40.211112 : Epoch  6, Batch    918, Loss  0.868056, Average Loss  0.869294, Time  0.446116
2021-09-25 10:29:43.737859 : Epoch  6, Batch    561, Loss  0.850680, Average Loss  0.871283, Time  0.442790
2021-09-25 10:29:46.112021 : Epoch  6, Batch    919, Loss  0.872736, Average Loss  0.869338, Time  0.444840
2021-09-25 10:29:49.574535 : Epoch  6, Batch    562, Loss  0.852088, Average Loss  0.871198, Time  0.456013
2021-09-25 10:29:52.025069 : Epoch  6, Batch    920, Loss  0.859144, Average Loss  0.869218, Time  0.444185
2021-09-25 10:29:55.333823 : Epoch  6, Batch    563, Loss  0.872373, Average Loss  0.871220, Time  0.442907
2021-09-25 10:29:57.940807 : Epoch  6, Batch    921, Loss  0.871011, Average Loss  0.869164, Time  0.445454
2021-09-25 10:30:01.193162 : Epoch  6, Batch    564, Loss  0.852622, Average Loss  0.871141, Time  0.443588
2021-09-25 10:30:03.921417 : Epoch  6, Batch    922, Loss  0.876572, Average Loss  0.869143, Time  0.451790
2021-09-25 10:30:06.980491 : Epoch  6, Batch    565, Loss  0.869319, Average Loss  0.871100, Time  0.444893
2021-09-25 10:30:09.892957 : Epoch  6, Batch    923, Loss  0.870216, Average Loss  0.869116, Time  0.446397
2021-09-25 10:30:12.804801 : Epoch  6, Batch    566, Loss  0.864701, Average Loss  0.871101, Time  0.445082
2021-09-25 10:30:15.828060 : Epoch  6, Batch    924, Loss  0.872928, Average Loss  0.869070, Time  0.445690
2021-09-25 10:30:18.678173 : Epoch  6, Batch    567, Loss  0.880169, Average Loss  0.871099, Time  0.444456
2021-09-25 10:30:21.719685 : Epoch  6, Batch    925, Loss  0.848228, Average Loss  0.868970, Time  0.444456
2021-09-25 10:30:24.531975 : Epoch  6, Batch    568, Loss  0.851075, Average Loss  0.871045, Time  0.443102
2021-09-25 10:30:27.815201 : Epoch  6, Batch    926, Loss  0.864574, Average Loss  0.868940, Time  0.445498
2021-09-25 10:30:30.534357 : Epoch  6, Batch    569, Loss  0.875466, Average Loss  0.871083, Time  0.443769
2021-09-25 10:30:33.914188 : Epoch  6, Batch    927, Loss  0.882318, Average Loss  0.869043, Time  0.444894
2021-09-25 10:30:36.523120 : Epoch  6, Batch    570, Loss  0.872119, Average Loss  0.871135, Time  0.457123
2021-09-25 10:30:40.042894 : Epoch  6, Batch    928, Loss  0.855455, Average Loss  0.868942, Time  0.444799
2021-09-25 10:30:40.089295 : Saving Model after 6-th Epoch.
2021-09-25 10:30:40.838651 : Epoch Finished.
2021-09-25 10:30:42.601343 : Epoch  6, Batch    571, Loss  0.875141, Average Loss  0.871174, Time  0.446560
2021-09-25 10:30:46.391231 : Batch Shuffled
2021-09-25 10:30:48.701999 : Epoch  6, Batch    572, Loss  0.865098, Average Loss  0.871149, Time  0.443271
2021-09-25 10:30:52.506831 : Epoch  7, Batch      1, Loss  0.868274, Average Loss  0.868937, Time  0.455678
2021-09-25 10:30:54.675524 : Epoch  6, Batch    573, Loss  0.872256, Average Loss  0.871117, Time  0.443910
2021-09-25 10:30:58.580897 : Epoch  7, Batch      2, Loss  0.883015, Average Loss  0.869022, Time  0.445027
2021-09-25 10:31:00.660533 : Epoch  6, Batch    574, Loss  0.867850, Average Loss  0.871107, Time  0.443068
2021-09-25 10:31:04.652277 : Epoch  7, Batch      3, Loss  0.863162, Average Loss  0.868994, Time  0.444960
2021-09-25 10:31:06.641037 : Epoch  6, Batch    575, Loss  0.867217, Average Loss  0.871118, Time  0.443561
2021-09-25 10:31:10.740823 : Epoch  7, Batch      4, Loss  0.876128, Average Loss  0.869054, Time  0.445016
2021-09-25 10:31:12.685726 : Epoch  6, Batch    576, Loss  0.864139, Average Loss  0.871139, Time  0.443808
2021-09-25 10:31:16.878167 : Epoch  7, Batch      5, Loss  0.860507, Average Loss  0.869015, Time  0.444482
2021-09-25 10:31:18.693594 : Epoch  6, Batch    577, Loss  0.867148, Average Loss  0.871087, Time  0.452994
2021-09-25 10:31:22.951362 : Epoch  7, Batch      6, Loss  0.863134, Average Loss  0.869052, Time  0.444215
2021-09-25 10:31:24.669427 : Epoch  6, Batch    578, Loss  0.854193, Average Loss  0.870985, Time  0.443047
2021-09-25 10:31:28.804247 : Epoch  7, Batch      7, Loss  0.872103, Average Loss  0.869057, Time  0.443674
2021-09-25 10:31:30.406055 : Epoch  6, Batch    579, Loss  0.862664, Average Loss  0.870918, Time  0.441670
2021-09-25 10:31:34.622437 : Epoch  7, Batch      8, Loss  0.874804, Average Loss  0.869052, Time  0.455137
2021-09-25 10:31:36.107989 : Epoch  6, Batch    580, Loss  0.883548, Average Loss  0.871004, Time  0.442189
2021-09-25 10:31:40.397821 : Epoch  7, Batch      9, Loss  0.879063, Average Loss  0.869092, Time  0.443556
2021-09-25 10:31:41.785322 : Epoch  6, Batch    581, Loss  0.872226, Average Loss  0.871026, Time  0.442683
2021-09-25 10:31:46.185353 : Epoch  7, Batch     10, Loss  0.846105, Average Loss  0.868966, Time  0.442484
2021-09-25 10:31:47.482301 : Epoch  6, Batch    582, Loss  0.870989, Average Loss  0.871050, Time  0.441891
2021-09-25 10:31:51.967448 : Epoch  7, Batch     11, Loss  0.875247, Average Loss  0.868980, Time  0.442751
2021-09-25 10:31:53.163631 : Epoch  6, Batch    583, Loss  0.874407, Average Loss  0.870997, Time  0.442914
2021-09-25 10:31:57.759334 : Epoch  7, Batch     12, Loss  0.878512, Average Loss  0.869021, Time  0.442408
2021-09-25 10:31:58.856970 : Epoch  6, Batch    584, Loss  0.887843, Average Loss  0.871107, Time  0.442791
2021-09-25 10:32:03.573042 : Epoch  7, Batch     13, Loss  0.868122, Average Loss  0.869105, Time  0.444018
2021-09-25 10:32:04.578032 : Epoch  6, Batch    585, Loss  0.874849, Average Loss  0.871110, Time  0.457850
2021-09-25 10:32:09.352684 : Epoch  7, Batch     14, Loss  0.856728, Average Loss  0.869022, Time  0.443458
2021-09-25 10:32:10.276266 : Epoch  6, Batch    586, Loss  0.870053, Average Loss  0.871105, Time  0.445244
2021-09-25 10:32:15.240599 : Epoch  7, Batch     15, Loss  0.859913, Average Loss  0.868961, Time  0.444319
2021-09-25 10:32:16.033774 : Epoch  6, Batch    587, Loss  0.871462, Average Loss  0.871127, Time  0.444595
2021-09-25 10:32:21.063073 : Epoch  7, Batch     16, Loss  0.881800, Average Loss  0.869016, Time  0.456510
2021-09-25 10:32:21.742875 : Epoch  6, Batch    588, Loss  0.866423, Average Loss  0.871114, Time  0.442659
2021-09-25 10:32:26.893370 : Epoch  7, Batch     17, Loss  0.868428, Average Loss  0.869074, Time  0.444763
2021-09-25 10:32:27.498455 : Epoch  6, Batch    589, Loss  0.868289, Average Loss  0.871172, Time  0.443497
2021-09-25 10:32:32.781766 : Epoch  7, Batch     18, Loss  0.871648, Average Loss  0.869084, Time  0.443834
2021-09-25 10:32:33.263715 : Epoch  6, Batch    590, Loss  0.860308, Average Loss  0.871174, Time  0.442516
2021-09-25 10:32:38.584711 : Epoch  7, Batch     19, Loss  0.877036, Average Loss  0.869096, Time  0.443214
2021-09-25 10:32:38.959767 : Epoch  6, Batch    591, Loss  0.865478, Average Loss  0.871167, Time  0.442805
2021-09-25 10:32:44.386053 : Epoch  7, Batch     20, Loss  0.869978, Average Loss  0.869093, Time  0.442884
2021-09-25 10:32:44.648788 : Epoch  6, Batch    592, Loss  0.872755, Average Loss  0.871207, Time  0.443355
2021-09-25 10:32:50.190771 : Epoch  7, Batch     21, Loss  0.873046, Average Loss  0.869081, Time  0.443923
2021-09-25 10:32:50.355005 : Epoch  6, Batch    593, Loss  0.860943, Average Loss  0.871163, Time  0.457583
2021-09-25 10:32:55.965535 : Epoch  7, Batch     22, Loss  0.849673, Average Loss  0.868902, Time  0.443794
2021-09-25 10:32:56.030317 : Epoch  6, Batch    594, Loss  0.879058, Average Loss  0.871226, Time  0.443088
2021-09-25 10:33:01.717643 : Epoch  6, Batch    595, Loss  0.861402, Average Loss  0.871190, Time  0.443403
2021-09-25 10:33:01.771493 : Epoch  7, Batch     23, Loss  0.870914, Average Loss  0.868955, Time  0.443459
2021-09-25 10:33:07.431384 : Epoch  6, Batch    596, Loss  0.872349, Average Loss  0.871135, Time  0.442767
2021-09-25 10:33:07.603487 : Epoch  7, Batch     24, Loss  0.871061, Average Loss  0.868952, Time  0.451560
2021-09-25 10:33:13.139635 : Epoch  6, Batch    597, Loss  0.856653, Average Loss  0.871078, Time  0.443774
2021-09-25 10:33:13.391792 : Epoch  7, Batch     25, Loss  0.859216, Average Loss  0.868917, Time  0.443955
2021-09-25 10:33:18.820635 : Epoch  6, Batch    598, Loss  0.863758, Average Loss  0.871054, Time  0.442609
2021-09-25 10:33:19.150073 : Epoch  7, Batch     26, Loss  0.866741, Average Loss  0.868932, Time  0.442226
2021-09-25 10:33:24.543855 : Epoch  6, Batch    599, Loss  0.862173, Average Loss  0.870982, Time  0.442940
2021-09-25 10:33:24.940332 : Epoch  7, Batch     27, Loss  0.861238, Average Loss  0.868928, Time  0.442776
2021-09-25 10:33:30.196970 : Epoch  6, Batch    600, Loss  0.877955, Average Loss  0.870970, Time  0.443495
2021-09-25 10:33:30.679735 : Epoch  7, Batch     28, Loss  0.858167, Average Loss  0.868846, Time  0.445010
2021-09-25 10:33:35.934005 : Epoch  6, Batch    601, Loss  0.855681, Average Loss  0.870841, Time  0.442767
2021-09-25 10:33:36.486344 : Epoch  7, Batch     29, Loss  0.880935, Average Loss  0.868875, Time  0.443746
2021-09-25 10:33:41.845577 : Epoch  6, Batch    602, Loss  0.887987, Average Loss  0.870971, Time  0.458918
2021-09-25 10:33:42.513186 : Epoch  7, Batch     30, Loss  0.868100, Average Loss  0.868907, Time  0.443810
2021-09-25 10:33:47.871335 : Epoch  6, Batch    603, Loss  0.849644, Average Loss  0.870840, Time  0.444897
2021-09-25 10:33:48.623493 : Epoch  7, Batch     31, Loss  0.870375, Average Loss  0.868907, Time  0.446156
2021-09-25 10:33:53.889570 : Epoch  6, Batch    604, Loss  0.864448, Average Loss  0.870820, Time  0.444589
2021-09-25 10:33:54.748833 : Epoch  7, Batch     32, Loss  0.872067, Average Loss  0.868932, Time  0.461666
2021-09-25 10:33:59.939455 : Epoch  6, Batch    605, Loss  0.868037, Average Loss  0.870813, Time  0.447701
2021-09-25 10:34:05.955208 : Epoch  6, Batch    606, Loss  0.884319, Average Loss  0.870898, Time  0.443963
2021-09-25 10:34:11.998439 : Epoch  6, Batch    607, Loss  0.874145, Average Loss  0.870907, Time  0.445133
2021-09-25 10:34:18.048942 : Epoch  6, Batch    608, Loss  0.877720, Average Loss  0.870898, Time  0.447310
2021-09-25 10:34:24.075933 : Epoch  6, Batch    609, Loss  0.872904, Average Loss  0.870925, Time  0.461532
2021-09-25 10:34:30.086136 : Epoch  6, Batch    610, Loss  0.849639, Average Loss  0.870790, Time  0.445280
2021-09-25 10:34:36.090429 : Epoch  6, Batch    611, Loss  0.878074, Average Loss  0.870843, Time  0.444214
2021-09-25 10:34:42.099416 : Epoch  6, Batch    612, Loss  0.858742, Average Loss  0.870823, Time  0.444056
2021-09-25 10:34:48.111062 : Epoch  6, Batch    613, Loss  0.870887, Average Loss  0.870867, Time  0.443977
2021-09-25 10:34:54.112318 : Epoch  6, Batch    614, Loss  0.847393, Average Loss  0.870702, Time  0.443521
2021-09-25 10:35:00.148308 : Epoch  6, Batch    615, Loss  0.878116, Average Loss  0.870728, Time  0.446064
2021-09-25 10:35:06.165469 : Epoch  6, Batch    616, Loss  0.864972, Average Loss  0.870708, Time  0.444665
2021-09-25 10:35:12.200275 : Epoch  6, Batch    617, Loss  0.858145, Average Loss  0.870596, Time  0.461884
2021-09-25 10:35:18.213884 : Epoch  6, Batch    618, Loss  0.867606, Average Loss  0.870577, Time  0.447652
2021-09-25 10:35:24.244373 : Epoch  6, Batch    619, Loss  0.883706, Average Loss  0.870583, Time  0.446714
2021-09-25 10:35:30.280840 : Epoch  6, Batch    620, Loss  0.874042, Average Loss  0.870651, Time  0.444070
2021-09-25 10:35:36.303548 : Epoch  6, Batch    621, Loss  0.860273, Average Loss  0.870566, Time  0.453261
2021-09-25 10:35:42.338462 : Epoch  6, Batch    622, Loss  0.871686, Average Loss  0.870619, Time  0.444005
2021-09-25 10:35:48.352815 : Epoch  6, Batch    623, Loss  0.867783, Average Loss  0.870518, Time  0.444292
2021-09-25 10:35:54.388165 : Epoch  6, Batch    624, Loss  0.880881, Average Loss  0.870512, Time  0.456694
2021-09-25 10:36:00.409667 : Epoch  6, Batch    625, Loss  0.875675, Average Loss  0.870507, Time  0.445528
2021-09-25 10:36:06.437840 : Epoch  6, Batch    626, Loss  0.856159, Average Loss  0.870408, Time  0.444201
2021-09-25 10:36:12.470264 : Epoch  6, Batch    627, Loss  0.878942, Average Loss  0.870517, Time  0.447532
2021-09-25 10:36:18.495985 : Epoch  6, Batch    628, Loss  0.857525, Average Loss  0.870448, Time  0.444972
2021-09-25 10:36:24.512856 : Epoch  6, Batch    629, Loss  0.865033, Average Loss  0.870399, Time  0.443616
2021-09-25 10:36:30.538754 : Epoch  6, Batch    630, Loss  0.873935, Average Loss  0.870307, Time  0.444666
2021-09-25 10:36:36.571669 : Epoch  6, Batch    631, Loss  0.872529, Average Loss  0.870315, Time  0.445265
2021-09-25 10:36:42.611414 : Epoch  6, Batch    632, Loss  0.874856, Average Loss  0.870311, Time  0.460993
2021-09-25 10:36:48.620382 : Epoch  6, Batch    633, Loss  0.870496, Average Loss  0.870291, Time  0.446268
2021-09-25 10:36:54.641143 : Epoch  6, Batch    634, Loss  0.869836, Average Loss  0.870271, Time  0.445756
2021-09-25 10:37:00.683849 : Epoch  6, Batch    635, Loss  0.872324, Average Loss  0.870278, Time  0.445344
2021-09-25 10:37:06.728627 : Epoch  6, Batch    636, Loss  0.864907, Average Loss  0.870321, Time  0.446468
2021-09-25 10:37:12.764212 : Epoch  6, Batch    637, Loss  0.868656, Average Loss  0.870313, Time  0.449823
2021-09-25 10:37:18.786752 : Epoch  6, Batch    638, Loss  0.864628, Average Loss  0.870157, Time  0.444086
2021-09-25 10:37:24.824564 : Epoch  6, Batch    639, Loss  0.863482, Average Loss  0.870051, Time  0.456780
2021-09-25 10:37:30.834843 : Epoch  6, Batch    640, Loss  0.870661, Average Loss  0.870048, Time  0.444432
2021-09-25 10:37:36.851488 : Epoch  6, Batch    641, Loss  0.874312, Average Loss  0.870081, Time  0.444269
2021-09-25 10:37:42.934567 : Epoch  6, Batch    642, Loss  0.865660, Average Loss  0.870133, Time  0.444519
2021-09-25 10:37:48.957111 : Epoch  6, Batch    643, Loss  0.869681, Average Loss  0.870217, Time  0.446402
2021-09-25 10:37:54.984570 : Epoch  6, Batch    644, Loss  0.874296, Average Loss  0.870371, Time  0.447611
2021-09-25 10:38:01.011779 : Epoch  6, Batch    645, Loss  0.866571, Average Loss  0.870379, Time  0.446000
2021-09-25 10:38:07.039838 : Epoch  6, Batch    646, Loss  0.862837, Average Loss  0.870316, Time  0.445588
2021-09-25 10:38:13.107390 : Epoch  6, Batch    647, Loss  0.869087, Average Loss  0.870279, Time  0.455813
2021-09-25 10:38:19.127814 : Epoch  6, Batch    648, Loss  0.883801, Average Loss  0.870296, Time  0.444317
2021-09-25 10:38:25.161456 : Epoch  6, Batch    649, Loss  0.875638, Average Loss  0.870216, Time  0.446854
2021-09-25 10:38:31.179489 : Epoch  6, Batch    650, Loss  0.881086, Average Loss  0.870297, Time  0.448819
2021-09-25 10:38:37.194629 : Epoch  6, Batch    651, Loss  0.878071, Average Loss  0.870338, Time  0.445921
2021-09-25 10:38:39.196372 : CheckPoint: Validation Loss  0.00015319, Best Loss  0.00014804
2021-09-25 10:38:43.201529 : Epoch  6, Batch    652, Loss  0.868217, Average Loss  0.870393, Time  0.444946
2021-09-25 10:38:45.252759 : Epoch  7, Batch     33, Loss  0.874255, Average Loss  0.868988, Time  0.445188
2021-09-25 10:38:49.215084 : Epoch  6, Batch    653, Loss  0.861488, Average Loss  0.870325, Time  0.444850
2021-09-25 10:38:51.365363 : Epoch  7, Batch     34, Loss  0.885114, Average Loss  0.868980, Time  0.447262
2021-09-25 10:38:55.263945 : Epoch  6, Batch    654, Loss  0.864542, Average Loss  0.870296, Time  0.446442
2021-09-25 10:38:57.492797 : Epoch  7, Batch     35, Loss  0.864904, Average Loss  0.868927, Time  0.444588
2021-09-25 10:39:01.324785 : Epoch  6, Batch    655, Loss  0.876239, Average Loss  0.870379, Time  0.460617
2021-09-25 10:39:03.596336 : Epoch  7, Batch     36, Loss  0.872672, Average Loss  0.868887, Time  0.445246
2021-09-25 10:39:07.349864 : Epoch  6, Batch    656, Loss  0.882756, Average Loss  0.870445, Time  0.443851
2021-09-25 10:39:09.719540 : Epoch  7, Batch     37, Loss  0.853562, Average Loss  0.868802, Time  0.446059
2021-09-25 10:39:13.383284 : Epoch  6, Batch    657, Loss  0.856884, Average Loss  0.870327, Time  0.447824
2021-09-25 10:39:15.842987 : Epoch  7, Batch     38, Loss  0.876145, Average Loss  0.868937, Time  0.459878
2021-09-25 10:39:19.425747 : Epoch  6, Batch    658, Loss  0.869686, Average Loss  0.870344, Time  0.445319
2021-09-25 10:39:21.957257 : Epoch  7, Batch     39, Loss  0.871752, Average Loss  0.868945, Time  0.448377
2021-09-25 10:39:25.483536 : Epoch  6, Batch    659, Loss  0.871834, Average Loss  0.870323, Time  0.445126
2021-09-25 10:39:28.074286 : Epoch  7, Batch     40, Loss  0.852071, Average Loss  0.868803, Time  0.445952
2021-09-25 10:39:31.539051 : Epoch  6, Batch    660, Loss  0.874189, Average Loss  0.870245, Time  0.444208
2021-09-25 10:39:34.198710 : Epoch  7, Batch     41, Loss  0.873644, Average Loss  0.868748, Time  0.446500
2021-09-25 10:39:40.299252 : Epoch  7, Batch     42, Loss  0.867378, Average Loss  0.868691, Time  0.445197
2021-09-25 10:39:46.413218 : Epoch  7, Batch     43, Loss  0.854859, Average Loss  0.868639, Time  0.444729
2021-09-25 10:39:52.510715 : Epoch  7, Batch     44, Loss  0.867883, Average Loss  0.868614, Time  0.445992
2021-09-25 10:39:58.655519 : Epoch  7, Batch     45, Loss  0.872420, Average Loss  0.868730, Time  0.446121
2021-09-25 10:40:04.773925 : Epoch  7, Batch     46, Loss  0.878490, Average Loss  0.868799, Time  0.462152
2021-09-25 10:40:10.897786 : Epoch  7, Batch     47, Loss  0.862600, Average Loss  0.868816, Time  0.449168
2021-09-25 10:40:17.015045 : Epoch  7, Batch     48, Loss  0.890465, Average Loss  0.868902, Time  0.445578
2021-09-25 10:40:23.176483 : Epoch  7, Batch     49, Loss  0.875578, Average Loss  0.868895, Time  0.445013
2021-09-25 10:40:29.281716 : Epoch  7, Batch     50, Loss  0.887151, Average Loss  0.869046, Time  0.445728
2021-09-25 10:40:35.406829 : Epoch  7, Batch     51, Loss  0.860538, Average Loss  0.868965, Time  0.444822
2021-09-25 10:40:41.512781 : Epoch  7, Batch     52, Loss  0.887446, Average Loss  0.869031, Time  0.444693
2021-09-25 10:40:47.633798 : Epoch  7, Batch     53, Loss  0.880909, Average Loss  0.869081, Time  0.457293
2021-09-25 10:40:53.735199 : Epoch  7, Batch     54, Loss  0.876157, Average Loss  0.869056, Time  0.445482
2021-09-25 10:40:59.848474 : Epoch  7, Batch     55, Loss  0.864540, Average Loss  0.869051, Time  0.444823
2021-09-25 10:41:05.959529 : Epoch  7, Batch     56, Loss  0.867147, Average Loss  0.869030, Time  0.445278
2021-09-25 10:41:12.059704 : Epoch  7, Batch     57, Loss  0.867739, Average Loss  0.869079, Time  0.444481
2021-09-25 10:41:18.177655 : Epoch  7, Batch     58, Loss  0.872854, Average Loss  0.869104, Time  0.450663
2021-09-25 10:41:24.270763 : Epoch  7, Batch     59, Loss  0.888320, Average Loss  0.869129, Time  0.448760
2021-09-25 10:41:30.389897 : Epoch  7, Batch     60, Loss  0.870399, Average Loss  0.869118, Time  0.446397
2021-09-25 10:41:36.490743 : Epoch  7, Batch     61, Loss  0.880071, Average Loss  0.869194, Time  0.453458
2021-09-25 10:41:42.575802 : Epoch  7, Batch     62, Loss  0.868769, Average Loss  0.869234, Time  0.445381
2021-09-25 10:41:48.674213 : Epoch  7, Batch     63, Loss  0.859688, Average Loss  0.869165, Time  0.446010
2021-09-25 10:41:54.783835 : Epoch  7, Batch     64, Loss  0.860849, Average Loss  0.869008, Time  0.447812
2021-09-25 10:42:00.893204 : Epoch  7, Batch     65, Loss  0.883419, Average Loss  0.869127, Time  0.446384
2021-09-25 10:42:06.993924 : Epoch  7, Batch     66, Loss  0.867055, Average Loss  0.869129, Time  0.444799
2021-09-25 10:42:13.107524 : Epoch  7, Batch     67, Loss  0.866816, Average Loss  0.869151, Time  0.444976
2021-09-25 10:42:19.240547 : Epoch  7, Batch     68, Loss  0.856170, Average Loss  0.869115, Time  0.460177
2021-09-25 10:42:25.329140 : Epoch  7, Batch     69, Loss  0.877282, Average Loss  0.869176, Time  0.444902
2021-09-25 10:42:31.437652 : Epoch  7, Batch     70, Loss  0.881012, Average Loss  0.869155, Time  0.444683
2021-09-25 10:42:37.544837 : Epoch  7, Batch     71, Loss  0.877499, Average Loss  0.869201, Time  0.446594
2021-09-25 10:42:43.623540 : Epoch  7, Batch     72, Loss  0.856808, Average Loss  0.869132, Time  0.445167
2021-09-25 10:42:49.732702 : Epoch  7, Batch     73, Loss  0.876478, Average Loss  0.869109, Time  0.450615
2021-09-25 10:42:55.853373 : Epoch  7, Batch     74, Loss  0.853094, Average Loss  0.869038, Time  0.444747
2021-09-25 10:43:01.960777 : Epoch  7, Batch     75, Loss  0.871865, Average Loss  0.868977, Time  0.445987
2021-09-25 10:43:08.096470 : Epoch  7, Batch     76, Loss  0.870550, Average Loss  0.868970, Time  0.456001
2021-09-25 10:43:14.209470 : Epoch  7, Batch     77, Loss  0.862878, Average Loss  0.868979, Time  0.445812
2021-09-25 10:43:20.316455 : Epoch  7, Batch     78, Loss  0.874210, Average Loss  0.868971, Time  0.447900
2021-09-25 10:43:26.436400 : Epoch  7, Batch     79, Loss  0.870858, Average Loss  0.868965, Time  0.445566
2021-09-25 10:43:32.536507 : Epoch  7, Batch     80, Loss  0.869609, Average Loss  0.868994, Time  0.445999
2021-09-25 10:43:38.657785 : Epoch  7, Batch     81, Loss  0.870469, Average Loss  0.869115, Time  0.444677
2021-09-25 10:43:44.769323 : Epoch  7, Batch     82, Loss  0.883923, Average Loss  0.869133, Time  0.446161
2021-09-25 10:43:50.900578 : Epoch  7, Batch     83, Loss  0.863493, Average Loss  0.869132, Time  0.460280
2021-09-25 10:43:57.002445 : Epoch  7, Batch     84, Loss  0.885453, Average Loss  0.869173, Time  0.444807
2021-09-25 10:44:03.103748 : Epoch  7, Batch     85, Loss  0.885493, Average Loss  0.869312, Time  0.445123
2021-09-25 10:44:09.227200 : Epoch  7, Batch     86, Loss  0.864857, Average Loss  0.869230, Time  0.444902
2021-09-25 10:44:14.719841 : CheckPoint: Validation Loss  0.00015046, Best Loss  0.00014758
2021-09-25 10:44:15.348796 : Epoch  7, Batch     87, Loss  0.864948, Average Loss  0.869199, Time  0.444968
2021-09-25 10:44:20.750263 : Epoch  6, Batch    661, Loss  0.872540, Average Loss  0.870203, Time  0.460563
2021-09-25 10:44:21.461793 : Epoch  7, Batch     88, Loss  0.867434, Average Loss  0.869200, Time  0.446777
2021-09-25 10:44:26.761137 : Epoch  6, Batch    662, Loss  0.853067, Average Loss  0.869995, Time  0.444788
2021-09-25 10:44:27.576991 : Epoch  7, Batch     89, Loss  0.871221, Average Loss  0.869223, Time  0.447084
2021-09-25 10:44:32.788372 : Epoch  6, Batch    663, Loss  0.877420, Average Loss  0.870057, Time  0.449379
2021-09-25 10:44:33.698800 : Epoch  7, Batch     90, Loss  0.880059, Average Loss  0.869273, Time  0.447450
2021-09-25 10:44:38.775145 : Epoch  6, Batch    664, Loss  0.855750, Average Loss  0.869978, Time  0.446757
2021-09-25 10:44:39.819996 : Epoch  7, Batch     91, Loss  0.875508, Average Loss  0.869371, Time  0.455590
2021-09-25 10:44:44.781414 : Epoch  6, Batch    665, Loss  0.871976, Average Loss  0.869989, Time  0.445142
2021-09-25 10:44:45.938808 : Epoch  7, Batch     92, Loss  0.875838, Average Loss  0.869447, Time  0.444630
2021-09-25 10:44:50.780783 : Epoch  6, Batch    666, Loss  0.884249, Average Loss  0.870001, Time  0.445062
2021-09-25 10:44:52.046961 : Epoch  7, Batch     93, Loss  0.873647, Average Loss  0.869488, Time  0.445033
2021-09-25 10:44:56.796440 : Epoch  6, Batch    667, Loss  0.887919, Average Loss  0.870124, Time  0.444795
2021-09-25 10:44:58.146080 : Epoch  7, Batch     94, Loss  0.887707, Average Loss  0.869654, Time  0.445078
2021-09-25 10:45:02.803989 : Epoch  6, Batch    668, Loss  0.865583, Average Loss  0.870042, Time  0.447304
2021-09-25 10:45:04.250417 : Epoch  7, Batch     95, Loss  0.883477, Average Loss  0.869700, Time  0.445203
2021-09-25 10:45:08.799814 : Epoch  6, Batch    669, Loss  0.868823, Average Loss  0.870159, Time  0.451359
2021-09-25 10:45:10.365673 : Epoch  7, Batch     96, Loss  0.874906, Average Loss  0.869790, Time  0.447838
2021-09-25 10:45:14.811617 : Epoch  6, Batch    670, Loss  0.870415, Average Loss  0.870200, Time  0.445576
2021-09-25 10:45:16.467515 : Epoch  7, Batch     97, Loss  0.877964, Average Loss  0.869857, Time  0.445051
2021-09-25 10:45:20.811214 : Epoch  6, Batch    671, Loss  0.869602, Average Loss  0.870232, Time  0.445741
2021-09-25 10:45:22.578939 : Epoch  7, Batch     98, Loss  0.857013, Average Loss  0.869772, Time  0.454201
2021-09-25 10:45:26.827847 : Epoch  6, Batch    672, Loss  0.854784, Average Loss  0.870152, Time  0.447460
2021-09-25 10:45:28.687087 : Epoch  7, Batch     99, Loss  0.870544, Average Loss  0.869830, Time  0.448241
2021-09-25 10:45:32.849874 : Epoch  6, Batch    673, Loss  0.869744, Average Loss  0.870214, Time  0.445290
2021-09-25 10:45:34.778456 : Epoch  7, Batch    100, Loss  0.879054, Average Loss  0.869929, Time  0.445035
2021-09-25 10:45:38.835148 : Epoch  6, Batch    674, Loss  0.875485, Average Loss  0.870194, Time  0.443866
2021-09-25 10:45:40.873608 : Epoch  7, Batch    101, Loss  0.857556, Average Loss  0.869861, Time  0.445093
2021-09-25 10:45:44.845999 : Epoch  6, Batch    675, Loss  0.880051, Average Loss  0.870242, Time  0.445180
2021-09-25 10:45:46.962749 : Epoch  7, Batch    102, Loss  0.866380, Average Loss  0.869874, Time  0.445904
2021-09-25 10:45:50.850033 : Epoch  6, Batch    676, Loss  0.859016, Average Loss  0.870130, Time  0.457744
2021-09-25 10:45:53.059433 : Epoch  7, Batch    103, Loss  0.857912, Average Loss  0.869813, Time  0.444917
2021-09-25 10:45:56.878618 : Epoch  6, Batch    677, Loss  0.855284, Average Loss  0.870059, Time  0.443918
2021-09-25 10:45:59.169608 : Epoch  7, Batch    104, Loss  0.872247, Average Loss  0.869895, Time  0.445404
2021-09-25 10:46:02.901845 : Epoch  6, Batch    678, Loss  0.868448, Average Loss  0.870062, Time  0.448161
2021-09-25 10:46:05.290159 : Epoch  7, Batch    105, Loss  0.885677, Average Loss  0.869958, Time  0.449617
2021-09-25 10:46:08.914104 : Epoch  6, Batch    679, Loss  0.864940, Average Loss  0.869987, Time  0.444717
2021-09-25 10:46:11.401558 : Epoch  7, Batch    106, Loss  0.870968, Average Loss  0.869912, Time  0.453503
2021-09-25 10:46:14.916349 : Epoch  6, Batch    680, Loss  0.859802, Average Loss  0.869862, Time  0.444534
2021-09-25 10:46:17.500606 : Epoch  7, Batch    107, Loss  0.849242, Average Loss  0.869716, Time  0.444816
2021-09-25 10:46:20.919935 : Epoch  6, Batch    681, Loss  0.857441, Average Loss  0.869719, Time  0.445322
2021-09-25 10:46:23.595795 : Epoch  7, Batch    108, Loss  0.870232, Average Loss  0.869765, Time  0.452562
2021-09-25 10:46:26.929672 : Epoch  6, Batch    682, Loss  0.869421, Average Loss  0.869675, Time  0.447611
2021-09-25 10:46:29.710963 : Epoch  7, Batch    109, Loss  0.880583, Average Loss  0.869849, Time  0.445479
2021-09-25 10:46:32.978722 : Epoch  6, Batch    683, Loss  0.890431, Average Loss  0.869753, Time  0.446293
2021-09-25 10:46:35.820956 : Epoch  7, Batch    110, Loss  0.868421, Average Loss  0.869838, Time  0.445985
2021-09-25 10:46:38.998723 : Epoch  6, Batch    684, Loss  0.874495, Average Loss  0.869790, Time  0.458015
2021-09-25 10:46:41.940328 : Epoch  7, Batch    111, Loss  0.875123, Average Loss  0.869863, Time  0.446655
2021-09-25 10:46:45.004541 : Epoch  6, Batch    685, Loss  0.858447, Average Loss  0.869731, Time  0.445412
2021-09-25 10:46:48.046820 : Epoch  7, Batch    112, Loss  0.870391, Average Loss  0.869955, Time  0.445414
2021-09-25 10:46:51.024173 : Epoch  6, Batch    686, Loss  0.871484, Average Loss  0.869734, Time  0.444506
2021-09-25 10:46:54.173771 : Epoch  7, Batch    113, Loss  0.888493, Average Loss  0.869992, Time  0.456800
2021-09-25 10:46:57.067027 : Epoch  6, Batch    687, Loss  0.880718, Average Loss  0.869836, Time  0.452666
2021-09-25 10:47:00.281513 : Epoch  7, Batch    114, Loss  0.869150, Average Loss  0.869962, Time  0.445337
2021-09-25 10:47:03.088309 : Epoch  6, Batch    688, Loss  0.872938, Average Loss  0.869863, Time  0.444234
2021-09-25 10:47:06.408838 : Epoch  7, Batch    115, Loss  0.862839, Average Loss  0.869897, Time  0.447445
2021-09-25 10:47:09.104928 : Epoch  6, Batch    689, Loss  0.875426, Average Loss  0.869862, Time  0.443876
2021-09-25 10:47:12.515136 : Epoch  7, Batch    116, Loss  0.888162, Average Loss  0.869972, Time  0.445681
2021-09-25 10:47:15.149298 : Epoch  6, Batch    690, Loss  0.874021, Average Loss  0.869836, Time  0.445154
2021-09-25 10:47:18.632140 : Epoch  7, Batch    117, Loss  0.854612, Average Loss  0.869932, Time  0.445457
2021-09-25 10:47:21.191782 : Epoch  6, Batch    691, Loss  0.861912, Average Loss  0.869766, Time  0.446329
2021-09-25 10:47:24.744970 : Epoch  7, Batch    118, Loss  0.867645, Average Loss  0.869886, Time  0.445295
2021-09-25 10:47:27.264792 : Epoch  6, Batch    692, Loss  0.869181, Average Loss  0.869658, Time  0.458898
2021-09-25 10:47:30.867649 : Epoch  7, Batch    119, Loss  0.875997, Average Loss  0.870009, Time  0.445428
2021-09-25 10:47:31.723634 : Epoch  6, Batch    693, Loss  0.861833, Average Loss  0.869611, Time  0.347728
2021-09-25 10:47:36.978674 : Epoch  7, Batch    120, Loss  0.877207, Average Loss  0.869999, Time  0.448470
2021-09-25 10:47:37.756818 : Epoch  6, Batch    694, Loss  0.861361, Average Loss  0.869585, Time  0.444535
2021-09-25 10:47:43.103219 : Epoch  7, Batch    121, Loss  0.860219, Average Loss  0.869911, Time  0.457372
2021-09-25 10:47:43.775926 : Epoch  6, Batch    695, Loss  0.858859, Average Loss  0.869518, Time  0.444670
2021-09-25 10:47:49.206938 : Epoch  7, Batch    122, Loss  0.878679, Average Loss  0.869915, Time  0.445212
2021-09-25 10:47:49.802160 : Epoch  6, Batch    696, Loss  0.867197, Average Loss  0.869481, Time  0.445207
2021-09-25 10:47:55.325600 : Epoch  7, Batch    123, Loss  0.875406, Average Loss  0.869963, Time  0.446074
2021-09-25 10:47:55.823563 : Epoch  6, Batch    697, Loss  0.858627, Average Loss  0.869457, Time  0.444746
2021-09-25 10:48:01.456990 : Epoch  7, Batch    124, Loss  0.866631, Average Loss  0.869974, Time  0.451427
2021-09-25 10:48:01.862489 : Epoch  6, Batch    698, Loss  0.865135, Average Loss  0.869508, Time  0.465672
2021-09-25 10:48:07.584360 : Epoch  7, Batch    125, Loss  0.866722, Average Loss  0.869929, Time  0.446691
2021-09-25 10:48:07.868567 : Epoch  6, Batch    699, Loss  0.870831, Average Loss  0.869445, Time  0.444764
2021-09-25 10:48:13.740129 : Epoch  7, Batch    126, Loss  0.876360, Average Loss  0.869965, Time  0.446780
2021-09-25 10:48:13.877596 : Epoch  6, Batch    700, Loss  0.850454, Average Loss  0.869294, Time  0.458897
2021-09-25 10:48:19.878898 : Epoch  7, Batch    127, Loss  0.887134, Average Loss  0.870026, Time  0.445965
2021-09-25 10:48:19.979941 : Epoch  6, Batch    701, Loss  0.876568, Average Loss  0.869321, Time  0.446846
2021-09-25 10:48:25.978932 : Epoch  6, Batch    702, Loss  0.867561, Average Loss  0.869286, Time  0.446599
2021-09-25 10:48:26.026249 : Epoch  7, Batch    128, Loss  0.877087, Average Loss  0.870170, Time  0.458293
2021-09-25 10:48:32.014470 : Epoch  6, Batch    703, Loss  0.865988, Average Loss  0.869315, Time  0.445464
2021-09-25 10:48:32.144984 : Epoch  7, Batch    129, Loss  0.868834, Average Loss  0.870114, Time  0.445264
2021-09-25 10:48:38.046816 : Epoch  6, Batch    704, Loss  0.872025, Average Loss  0.869379, Time  0.444112
2021-09-25 10:48:38.246115 : Epoch  7, Batch    130, Loss  0.861140, Average Loss  0.870053, Time  0.446096
2021-09-25 10:48:44.087662 : Epoch  6, Batch    705, Loss  0.879877, Average Loss  0.869457, Time  0.444210
2021-09-25 10:48:44.366940 : Epoch  7, Batch    131, Loss  0.861545, Average Loss  0.869891, Time  0.447895
2021-09-25 10:48:50.118656 : Epoch  6, Batch    706, Loss  0.877354, Average Loss  0.869446, Time  0.445060
2021-09-25 10:48:50.480484 : Epoch  7, Batch    132, Loss  0.862854, Average Loss  0.869812, Time  0.446676
2021-09-25 10:48:56.159874 : Epoch  6, Batch    707, Loss  0.866820, Average Loss  0.869404, Time  0.462538
2021-09-25 10:49:02.160633 : Epoch  6, Batch    708, Loss  0.890324, Average Loss  0.869463, Time  0.445259
2021-09-25 10:49:08.189743 : Epoch  6, Batch    709, Loss  0.869436, Average Loss  0.869385, Time  0.446288
2021-09-25 10:49:14.211495 : Epoch  6, Batch    710, Loss  0.878222, Average Loss  0.869336, Time  0.444432
2021-09-25 10:49:20.330103 : Epoch  6, Batch    711, Loss  0.871113, Average Loss  0.869343, Time  0.447889
2021-09-25 10:49:26.348919 : Epoch  6, Batch    712, Loss  0.881236, Average Loss  0.869408, Time  0.451487
2021-09-25 10:49:32.383294 : Epoch  6, Batch    713, Loss  0.864631, Average Loss  0.869400, Time  0.445889
2021-09-25 10:49:38.386189 : Epoch  6, Batch    714, Loss  0.884279, Average Loss  0.869449, Time  0.445489
2021-09-25 10:49:44.444497 : Epoch  6, Batch    715, Loss  0.877946, Average Loss  0.869513, Time  0.464741
2021-09-25 10:49:50.444787 : Epoch  6, Batch    716, Loss  0.861593, Average Loss  0.869515, Time  0.445832
2021-09-25 10:49:56.468915 : Epoch  6, Batch    717, Loss  0.886283, Average Loss  0.869567, Time  0.445147
2021-09-25 10:50:02.491132 : Epoch  6, Batch    718, Loss  0.875474, Average Loss  0.869597, Time  0.444730
2021-09-25 10:50:08.529668 : Epoch  6, Batch    719, Loss  0.874509, Average Loss  0.869639, Time  0.445076
2021-09-25 10:50:14.546955 : Epoch  6, Batch    720, Loss  0.872657, Average Loss  0.869709, Time  0.455003
2021-09-25 10:50:20.559846 : Epoch  6, Batch    721, Loss  0.873503, Average Loss  0.869724, Time  0.446708
2021-09-25 10:50:26.586999 : Epoch  6, Batch    722, Loss  0.872223, Average Loss  0.869712, Time  0.461554
2021-09-25 10:50:32.609351 : Epoch  6, Batch    723, Loss  0.877757, Average Loss  0.869714, Time  0.444349
2021-09-25 10:50:38.628498 : Epoch  6, Batch    724, Loss  0.870921, Average Loss  0.869716, Time  0.445138
2021-09-25 10:50:44.640111 : Epoch  6, Batch    725, Loss  0.868940, Average Loss  0.869770, Time  0.444254
2021-09-25 10:50:50.680518 : Epoch  6, Batch    726, Loss  0.849618, Average Loss  0.869721, Time  0.444007
2021-09-25 10:50:56.710012 : Epoch  6, Batch    727, Loss  0.870396, Average Loss  0.869763, Time  0.447363
2021-09-25 10:51:02.709213 : Epoch  6, Batch    728, Loss  0.873708, Average Loss  0.869718, Time  0.444472
2021-09-25 10:51:08.725860 : Epoch  6, Batch    729, Loss  0.865439, Average Loss  0.869639, Time  0.444422
2021-09-25 10:51:14.756031 : Epoch  6, Batch    730, Loss  0.868580, Average Loss  0.869597, Time  0.455195
2021-09-25 10:51:20.780596 : Epoch  6, Batch    731, Loss  0.893527, Average Loss  0.869621, Time  0.446765
2021-09-25 10:51:26.810566 : Epoch  6, Batch    732, Loss  0.878445, Average Loss  0.869673, Time  0.444874
2021-09-25 10:51:32.838766 : Epoch  6, Batch    733, Loss  0.862015, Average Loss  0.869680, Time  0.446386
2021-09-25 10:51:38.845823 : Epoch  6, Batch    734, Loss  0.876845, Average Loss  0.869728, Time  0.444578
2021-09-25 10:51:44.871751 : Epoch  6, Batch    735, Loss  0.872492, Average Loss  0.869742, Time  0.448176
2021-09-25 10:51:50.900658 : Epoch  6, Batch    736, Loss  0.862185, Average Loss  0.869722, Time  0.448884
2021-09-25 10:51:56.915349 : Epoch  6, Batch    737, Loss  0.862850, Average Loss  0.869633, Time  0.450893
2021-09-25 10:52:02.926331 : Epoch  6, Batch    738, Loss  0.874640, Average Loss  0.869637, Time  0.444502
2021-09-25 10:52:08.914878 : Epoch  6, Batch    739, Loss  0.885165, Average Loss  0.869655, Time  0.444565
2021-09-25 10:52:14.955597 : Epoch  6, Batch    740, Loss  0.862130, Average Loss  0.869570, Time  0.444334
2021-09-25 10:52:20.995492 : Epoch  6, Batch    741, Loss  0.879088, Average Loss  0.869598, Time  0.444108
2021-09-25 10:52:27.006546 : Epoch  6, Batch    742, Loss  0.882466, Average Loss  0.869660, Time  0.444501
2021-09-25 10:52:33.035496 : Epoch  6, Batch    743, Loss  0.876282, Average Loss  0.869650, Time  0.445553
2021-09-25 10:52:39.061187 : Epoch  6, Batch    744, Loss  0.860103, Average Loss  0.869628, Time  0.446927
2021-09-25 10:52:45.096639 : Epoch  6, Batch    745, Loss  0.874194, Average Loss  0.869636, Time  0.459525
2021-09-25 10:52:51.091861 : Epoch  6, Batch    746, Loss  0.879885, Average Loss  0.869747, Time  0.444256
2021-09-25 10:52:57.113789 : Epoch  6, Batch    747, Loss  0.889922, Average Loss  0.869807, Time  0.450105
2021-09-25 10:53:03.127054 : Epoch  6, Batch    748, Loss  0.859998, Average Loss  0.869727, Time  0.448879
2021-09-25 10:53:09.155428 : Epoch  6, Batch    749, Loss  0.876375, Average Loss  0.869739, Time  0.444151
2021-09-25 10:53:15.179298 : Epoch  6, Batch    750, Loss  0.885177, Average Loss  0.869833, Time  0.447696
2021-09-25 10:53:21.181017 : Epoch  6, Batch    751, Loss  0.867434, Average Loss  0.869835, Time  0.446309
2021-09-25 10:53:27.188755 : Epoch  6, Batch    752, Loss  0.871598, Average Loss  0.869854, Time  0.446874
2021-09-25 10:53:33.225786 : Epoch  6, Batch    753, Loss  0.861614, Average Loss  0.869874, Time  0.459557
2021-09-25 10:53:36.948532 : CheckPoint: Validation Loss  0.00015038, Best Loss  0.00014804
2021-09-25 10:53:39.235287 : Epoch  6, Batch    754, Loss  0.864008, Average Loss  0.869840, Time  0.444306
2021-09-25 10:53:43.051764 : Epoch  7, Batch    133, Loss  0.869352, Average Loss  0.869883, Time  0.445460
2021-09-25 10:53:45.238303 : Epoch  6, Batch    755, Loss  0.873335, Average Loss  0.869814, Time  0.444259
2021-09-25 10:53:49.184930 : Epoch  7, Batch    134, Loss  0.863597, Average Loss  0.869973, Time  0.459734
2021-09-25 10:53:51.252397 : Epoch  6, Batch    756, Loss  0.866157, Average Loss  0.869770, Time  0.452702
2021-09-25 10:53:55.306146 : Epoch  7, Batch    135, Loss  0.869386, Average Loss  0.869985, Time  0.445279
2021-09-25 10:53:57.271893 : Epoch  6, Batch    757, Loss  0.873740, Average Loss  0.869816, Time  0.444883
2021-09-25 10:54:01.420405 : Epoch  7, Batch    136, Loss  0.869197, Average Loss  0.870051, Time  0.445144
2021-09-25 10:54:03.312423 : Epoch  6, Batch    758, Loss  0.869381, Average Loss  0.869850, Time  0.454408
2021-09-25 10:54:07.530836 : Epoch  7, Batch    137, Loss  0.862967, Average Loss  0.870052, Time  0.444821
2021-09-25 10:54:09.323722 : Epoch  6, Batch    759, Loss  0.868303, Average Loss  0.869866, Time  0.446517
2021-09-25 10:54:13.653429 : Epoch  7, Batch    138, Loss  0.872358, Average Loss  0.870061, Time  0.445187
2021-09-25 10:54:15.372431 : Epoch  6, Batch    760, Loss  0.862353, Average Loss  0.869772, Time  0.460584
2021-09-25 10:54:19.812653 : Epoch  7, Batch    139, Loss  0.885532, Average Loss  0.870165, Time  0.445871
2021-09-25 10:54:25.929128 : Epoch  7, Batch    140, Loss  0.875561, Average Loss  0.870179, Time  0.444503
2021-09-25 10:54:32.072896 : Epoch  7, Batch    141, Loss  0.871564, Average Loss  0.870207, Time  0.451780
2021-09-25 10:54:38.211525 : Epoch  7, Batch    142, Loss  0.866887, Average Loss  0.870167, Time  0.445420
2021-09-25 10:54:44.344404 : Epoch  7, Batch    143, Loss  0.860916, Average Loss  0.870159, Time  0.445111
2021-09-25 10:54:50.456519 : Epoch  7, Batch    144, Loss  0.871792, Average Loss  0.870166, Time  0.444897
2021-09-25 10:54:56.563497 : Epoch  7, Batch    145, Loss  0.870880, Average Loss  0.870183, Time  0.447219
2021-09-25 10:55:02.689922 : Epoch  7, Batch    146, Loss  0.873609, Average Loss  0.870179, Time  0.444920
2021-09-25 10:55:08.797826 : Epoch  7, Batch    147, Loss  0.885236, Average Loss  0.870297, Time  0.445375
2021-09-25 10:55:14.896324 : Epoch  7, Batch    148, Loss  0.864205, Average Loss  0.870290, Time  0.448975
2021-09-25 10:55:21.025559 : Epoch  7, Batch    149, Loss  0.865453, Average Loss  0.870307, Time  0.454522
2021-09-25 10:55:27.145904 : Epoch  7, Batch    150, Loss  0.868604, Average Loss  0.870317, Time  0.444846
2021-09-25 10:55:33.261833 : Epoch  7, Batch    151, Loss  0.872755, Average Loss  0.870414, Time  0.444385
2021-09-25 10:55:39.366408 : Epoch  7, Batch    152, Loss  0.852024, Average Loss  0.870369, Time  0.447929
2021-09-25 10:55:45.487776 : Epoch  7, Batch    153, Loss  0.872342, Average Loss  0.870394, Time  0.448560
2021-09-25 10:55:51.600449 : Epoch  7, Batch    154, Loss  0.871472, Average Loss  0.870388, Time  0.444678
2021-09-25 10:55:57.720606 : Epoch  7, Batch    155, Loss  0.859189, Average Loss  0.870408, Time  0.444759
2021-09-25 10:56:03.856446 : Epoch  7, Batch    156, Loss  0.859358, Average Loss  0.870320, Time  0.460766
2021-09-25 10:56:09.982939 : Epoch  7, Batch    157, Loss  0.871337, Average Loss  0.870319, Time  0.450254
2021-09-25 10:56:16.105422 : Epoch  7, Batch    158, Loss  0.861227, Average Loss  0.870229, Time  0.444559
2021-09-25 10:56:22.241933 : Epoch  7, Batch    159, Loss  0.873947, Average Loss  0.870266, Time  0.444491
2021-09-25 10:56:28.379308 : Epoch  7, Batch    160, Loss  0.878501, Average Loss  0.870268, Time  0.448840
2021-09-25 10:56:34.506670 : Epoch  7, Batch    161, Loss  0.871448, Average Loss  0.870268, Time  0.446686
2021-09-25 10:56:40.636729 : Epoch  7, Batch    162, Loss  0.862117, Average Loss  0.870219, Time  0.445046
2021-09-25 10:56:46.765853 : Epoch  7, Batch    163, Loss  0.867582, Average Loss  0.870201, Time  0.448003
2021-09-25 10:56:52.894609 : Epoch  7, Batch    164, Loss  0.876329, Average Loss  0.870254, Time  0.459567
2021-09-25 10:56:59.019816 : Epoch  7, Batch    165, Loss  0.879362, Average Loss  0.870263, Time  0.445456
2021-09-25 10:57:05.151372 : Epoch  7, Batch    166, Loss  0.870863, Average Loss  0.870273, Time  0.446579
2021-09-25 10:57:11.292827 : Epoch  7, Batch    167, Loss  0.880673, Average Loss  0.870283, Time  0.446560
2021-09-25 10:57:17.430627 : Epoch  7, Batch    168, Loss  0.870363, Average Loss  0.870288, Time  0.446286
2021-09-25 10:57:23.571771 : Epoch  7, Batch    169, Loss  0.871914, Average Loss  0.870355, Time  0.454681
2021-09-25 10:57:29.690921 : Epoch  7, Batch    170, Loss  0.867153, Average Loss  0.870380, Time  0.444811
2021-09-25 10:57:35.833349 : Epoch  7, Batch    171, Loss  0.867362, Average Loss  0.870461, Time  0.457943
2021-09-25 10:57:41.946666 : Epoch  7, Batch    172, Loss  0.852479, Average Loss  0.870384, Time  0.445472
2021-09-25 10:57:48.082493 : Epoch  7, Batch    173, Loss  0.873964, Average Loss  0.870413, Time  0.448411
2021-09-25 10:57:54.202321 : Epoch  7, Batch    174, Loss  0.869294, Average Loss  0.870395, Time  0.446352
2021-09-25 10:58:00.337974 : Epoch  7, Batch    175, Loss  0.877124, Average Loss  0.870399, Time  0.448575
2021-09-25 10:58:06.474514 : Epoch  7, Batch    176, Loss  0.867836, Average Loss  0.870410, Time  0.445698
2021-09-25 10:58:12.587248 : Epoch  7, Batch    177, Loss  0.877835, Average Loss  0.870477, Time  0.451327
2021-09-25 10:58:18.708791 : Epoch  7, Batch    178, Loss  0.867422, Average Loss  0.870514, Time  0.445178
2021-09-25 10:58:24.848578 : Epoch  7, Batch    179, Loss  0.870082, Average Loss  0.870535, Time  0.464942
2021-09-25 10:58:30.971652 : Epoch  7, Batch    180, Loss  0.881569, Average Loss  0.870562, Time  0.445524
2021-09-25 10:58:37.099545 : Epoch  7, Batch    181, Loss  0.868152, Average Loss  0.870542, Time  0.445808
2021-09-25 10:58:43.209919 : Epoch  7, Batch    182, Loss  0.875250, Average Loss  0.870530, Time  0.445525
2021-09-25 10:58:49.353431 : Epoch  7, Batch    183, Loss  0.860968, Average Loss  0.870458, Time  0.447580
2021-09-25 10:58:55.497307 : Epoch  7, Batch    184, Loss  0.859570, Average Loss  0.870388, Time  0.444923
2021-09-25 10:58:57.649813 : CheckPoint: Validation Loss  0.00015017, Best Loss  0.00014758
2021-09-25 10:59:01.626978 : Epoch  7, Batch    185, Loss  0.875203, Average Loss  0.870388, Time  0.445909
2021-09-25 10:59:03.640653 : Epoch  6, Batch    761, Loss  0.867016, Average Loss  0.869854, Time  0.445216
2021-09-25 10:59:07.770629 : Epoch  7, Batch    186, Loss  0.875437, Average Loss  0.870325, Time  0.457163
2021-09-25 10:59:09.639687 : Epoch  6, Batch    762, Loss  0.873211, Average Loss  0.869959, Time  0.445736
2021-09-25 10:59:13.901901 : Epoch  7, Batch    187, Loss  0.887734, Average Loss  0.870404, Time  0.447192
2021-09-25 10:59:15.644157 : Epoch  6, Batch    763, Loss  0.869147, Average Loss  0.869943, Time  0.448046
2021-09-25 10:59:20.031027 : Epoch  7, Batch    188, Loss  0.880457, Average Loss  0.870478, Time  0.445289
2021-09-25 10:59:21.657482 : Epoch  6, Batch    764, Loss  0.860371, Average Loss  0.869982, Time  0.446966
2021-09-25 10:59:26.168598 : Epoch  7, Batch    189, Loss  0.863526, Average Loss  0.870456, Time  0.447025
2021-09-25 10:59:27.662800 : Epoch  6, Batch    765, Loss  0.893337, Average Loss  0.870102, Time  0.450537
2021-09-25 10:59:32.291439 : Epoch  7, Batch    190, Loss  0.863551, Average Loss  0.870434, Time  0.446487
2021-09-25 10:59:33.674468 : Epoch  6, Batch    766, Loss  0.875478, Average Loss  0.870156, Time  0.461741
2021-09-25 10:59:38.419278 : Epoch  7, Batch    191, Loss  0.862793, Average Loss  0.870384, Time  0.445283
2021-09-25 10:59:39.693457 : Epoch  6, Batch    767, Loss  0.888487, Average Loss  0.870197, Time  0.446013
2021-09-25 10:59:44.550819 : Epoch  7, Batch    192, Loss  0.881148, Average Loss  0.870494, Time  0.445898
2021-09-25 10:59:45.689232 : Epoch  6, Batch    768, Loss  0.865089, Average Loss  0.870267, Time  0.444168
2021-09-25 10:59:50.678395 : Epoch  7, Batch    193, Loss  0.862758, Average Loss  0.870453, Time  0.447274
2021-09-25 10:59:51.682133 : Epoch  6, Batch    769, Loss  0.856690, Average Loss  0.870174, Time  0.448171
2021-09-25 10:59:56.819124 : Epoch  7, Batch    194, Loss  0.853234, Average Loss  0.870336, Time  0.462581
2021-09-25 10:59:57.680902 : Epoch  6, Batch    770, Loss  0.867741, Average Loss  0.870152, Time  0.443919
2021-09-25 11:00:02.917407 : Epoch  7, Batch    195, Loss  0.865842, Average Loss  0.870314, Time  0.449070
2021-09-25 11:00:03.659770 : Epoch  6, Batch    771, Loss  0.877801, Average Loss  0.870165, Time  0.444455
2021-09-25 11:00:09.045146 : Epoch  7, Batch    196, Loss  0.869574, Average Loss  0.870297, Time  0.448124
2021-09-25 11:00:09.653315 : Epoch  6, Batch    772, Loss  0.862317, Average Loss  0.870151, Time  0.445588
2021-09-25 11:00:15.165119 : Epoch  7, Batch    197, Loss  0.864558, Average Loss  0.870379, Time  0.445327
2021-09-25 11:00:15.652213 : Epoch  6, Batch    773, Loss  0.864920, Average Loss  0.870114, Time  0.447037
2021-09-25 11:00:21.294989 : Epoch  7, Batch    198, Loss  0.853519, Average Loss  0.870324, Time  0.445800
2021-09-25 11:00:21.664333 : Epoch  6, Batch    774, Loss  0.866451, Average Loss  0.870107, Time  0.461463
2021-09-25 11:00:27.404867 : Epoch  7, Batch    199, Loss  0.871863, Average Loss  0.870271, Time  0.445359
2021-09-25 11:00:27.647801 : Epoch  6, Batch    775, Loss  0.855833, Average Loss  0.870050, Time  0.444146
2021-09-25 11:00:33.523371 : Epoch  7, Batch    200, Loss  0.878706, Average Loss  0.870388, Time  0.447497
2021-09-25 11:00:33.638610 : Epoch  6, Batch    776, Loss  0.879371, Average Loss  0.870127, Time  0.444841
2021-09-25 11:00:39.616327 : Epoch  6, Batch    777, Loss  0.873657, Average Loss  0.870159, Time  0.444980
2021-09-25 11:00:39.649761 : Epoch  7, Batch    201, Loss  0.865645, Average Loss  0.870375, Time  0.458819
2021-09-25 11:00:45.599116 : Epoch  6, Batch    778, Loss  0.870612, Average Loss  0.870241, Time  0.444603
2021-09-25 11:00:45.753047 : Epoch  7, Batch    202, Loss  0.875007, Average Loss  0.870334, Time  0.446767
2021-09-25 11:00:51.613350 : Epoch  6, Batch    779, Loss  0.867477, Average Loss  0.870265, Time  0.444286
2021-09-25 11:00:51.871169 : Epoch  7, Batch    203, Loss  0.859601, Average Loss  0.870317, Time  0.445253
2021-09-25 11:00:57.628820 : Epoch  6, Batch    780, Loss  0.863223, Average Loss  0.870164, Time  0.452086
2021-09-25 11:00:57.978953 : Epoch  7, Batch    204, Loss  0.879001, Average Loss  0.870331, Time  0.445979
2021-09-25 11:01:03.638996 : Epoch  6, Batch    781, Loss  0.845532, Average Loss  0.870030, Time  0.459054
2021-09-25 11:01:04.072793 : Epoch  7, Batch    205, Loss  0.863147, Average Loss  0.870344, Time  0.444849
2021-09-25 11:01:09.615032 : Epoch  6, Batch    782, Loss  0.861924, Average Loss  0.869985, Time  0.444921
2021-09-25 11:01:10.161093 : Epoch  7, Batch    206, Loss  0.863996, Average Loss  0.870349, Time  0.445684
2021-09-25 11:01:15.621068 : Epoch  6, Batch    783, Loss  0.878326, Average Loss  0.870005, Time  0.445864
2021-09-25 11:01:16.292003 : Epoch  7, Batch    207, Loss  0.877716, Average Loss  0.870377, Time  0.445568
2021-09-25 11:01:21.606992 : Epoch  6, Batch    784, Loss  0.859303, Average Loss  0.869862, Time  0.445132
2021-09-25 11:01:22.425536 : Epoch  7, Batch    208, Loss  0.872849, Average Loss  0.870367, Time  0.444799
2021-09-25 11:01:27.603543 : Epoch  6, Batch    785, Loss  0.866650, Average Loss  0.869821, Time  0.444943
2021-09-25 11:01:28.554761 : Epoch  7, Batch    209, Loss  0.868215, Average Loss  0.870313, Time  0.452259
2021-09-25 11:01:33.598669 : Epoch  6, Batch    786, Loss  0.872129, Average Loss  0.869831, Time  0.444700
2021-09-25 11:01:34.664753 : Epoch  7, Batch    210, Loss  0.870506, Average Loss  0.870435, Time  0.445773
2021-09-25 11:01:39.582410 : Epoch  6, Batch    787, Loss  0.863420, Average Loss  0.869791, Time  0.443935
2021-09-25 11:01:40.771437 : Epoch  7, Batch    211, Loss  0.862377, Average Loss  0.870370, Time  0.444998
2021-09-25 11:01:45.560938 : Epoch  6, Batch    788, Loss  0.879226, Average Loss  0.869855, Time  0.444043
2021-09-25 11:01:46.882792 : Epoch  7, Batch    212, Loss  0.869547, Average Loss  0.870325, Time  0.446741
2021-09-25 11:01:51.567531 : Epoch  6, Batch    789, Loss  0.870050, Average Loss  0.869864, Time  0.460046
2021-09-25 11:01:53.003729 : Epoch  7, Batch    213, Loss  0.870241, Average Loss  0.870336, Time  0.444442
2021-09-25 11:01:57.556374 : Epoch  6, Batch    790, Loss  0.876752, Average Loss  0.869946, Time  0.446917
2021-09-25 11:01:59.111415 : Epoch  7, Batch    214, Loss  0.873476, Average Loss  0.870420, Time  0.444987
2021-09-25 11:02:03.587277 : Epoch  6, Batch    791, Loss  0.876943, Average Loss  0.870003, Time  0.444670
2021-09-25 11:02:05.245068 : Epoch  7, Batch    215, Loss  0.869617, Average Loss  0.870468, Time  0.446757
2021-09-25 11:02:09.590216 : Epoch  6, Batch    792, Loss  0.849936, Average Loss  0.869889, Time  0.443688
2021-09-25 11:02:11.373932 : Epoch  7, Batch    216, Loss  0.876008, Average Loss  0.870439, Time  0.461792
2021-09-25 11:02:15.579849 : Epoch  6, Batch    793, Loss  0.873465, Average Loss  0.869952, Time  0.444127
2021-09-25 11:02:17.491805 : Epoch  7, Batch    217, Loss  0.876813, Average Loss  0.870481, Time  0.446963
2021-09-25 11:02:21.567357 : Epoch  6, Batch    794, Loss  0.869873, Average Loss  0.869906, Time  0.444219
2021-09-25 11:02:23.608983 : Epoch  7, Batch    218, Loss  0.877448, Average Loss  0.870510, Time  0.448850
2021-09-25 11:02:27.598983 : Epoch  6, Batch    795, Loss  0.880087, Average Loss  0.869999, Time  0.452260
2021-09-25 11:02:29.745798 : Epoch  7, Batch    219, Loss  0.871559, Average Loss  0.870483, Time  0.445538
2021-09-25 11:02:33.594714 : Epoch  6, Batch    796, Loss  0.875457, Average Loss  0.870015, Time  0.454765
2021-09-25 11:02:35.852452 : Epoch  7, Batch    220, Loss  0.855640, Average Loss  0.870411, Time  0.446494
2021-09-25 11:02:39.583680 : Epoch  6, Batch    797, Loss  0.869284, Average Loss  0.870078, Time  0.445421
2021-09-25 11:02:41.970458 : Epoch  7, Batch    221, Loss  0.869559, Average Loss  0.870394, Time  0.444589
2021-09-25 11:02:45.566653 : Epoch  6, Batch    798, Loss  0.863077, Average Loss  0.870075, Time  0.444094
2021-09-25 11:02:48.088780 : Epoch  7, Batch    222, Loss  0.864932, Average Loss  0.870470, Time  0.445370
2021-09-25 11:02:51.563335 : Epoch  6, Batch    799, Loss  0.872059, Average Loss  0.870124, Time  0.444390
2021-09-25 11:02:54.195377 : Epoch  7, Batch    223, Loss  0.865215, Average Loss  0.870442, Time  0.444628
2021-09-25 11:02:57.561537 : Epoch  6, Batch    800, Loss  0.869242, Average Loss  0.870081, Time  0.452304
2021-09-25 11:03:00.331501 : Epoch  7, Batch    224, Loss  0.853484, Average Loss  0.870354, Time  0.461668
2021-09-25 11:03:03.566364 : Epoch  6, Batch    801, Loss  0.869247, Average Loss  0.870148, Time  0.444072
2021-09-25 11:03:06.455519 : Epoch  7, Batch    225, Loss  0.868123, Average Loss  0.870398, Time  0.445265
2021-09-25 11:03:09.586560 : Epoch  6, Batch    802, Loss  0.870529, Average Loss  0.870061, Time  0.444866
2021-09-25 11:03:12.580348 : Epoch  7, Batch    226, Loss  0.863013, Average Loss  0.870380, Time  0.446479
2021-09-25 11:03:15.599376 : Epoch  6, Batch    803, Loss  0.876063, Average Loss  0.870193, Time  0.446494
2021-09-25 11:03:18.695410 : Epoch  7, Batch    227, Loss  0.873062, Average Loss  0.870439, Time  0.448037
2021-09-25 11:03:21.574752 : Epoch  6, Batch    804, Loss  0.851089, Average Loss  0.870126, Time  0.454566
2021-09-25 11:03:24.797185 : Epoch  7, Batch    228, Loss  0.878707, Average Loss  0.870541, Time  0.444306
2021-09-25 11:03:27.577914 : Epoch  6, Batch    805, Loss  0.863760, Average Loss  0.870105, Time  0.444851
2021-09-25 11:03:30.910675 : Epoch  7, Batch    229, Loss  0.860186, Average Loss  0.870438, Time  0.444521
2021-09-25 11:03:33.588162 : Epoch  6, Batch    806, Loss  0.880408, Average Loss  0.870085, Time  0.446781
2021-09-25 11:03:37.016010 : Epoch  7, Batch    230, Loss  0.852612, Average Loss  0.870360, Time  0.446600
2021-09-25 11:03:39.588476 : Epoch  6, Batch    807, Loss  0.880738, Average Loss  0.870118, Time  0.445986
2021-09-25 11:03:43.149546 : Epoch  7, Batch    231, Loss  0.866668, Average Loss  0.870342, Time  0.460993
2021-09-25 11:03:45.582939 : Epoch  6, Batch    808, Loss  0.876295, Average Loss  0.870111, Time  0.446004
2021-09-25 11:03:49.269841 : Epoch  7, Batch    232, Loss  0.878486, Average Loss  0.870374, Time  0.445960
2021-09-25 11:03:51.580774 : Epoch  6, Batch    809, Loss  0.878977, Average Loss  0.870142, Time  0.445616
2021-09-25 11:03:57.594959 : Epoch  6, Batch    810, Loss  0.866840, Average Loss  0.870228, Time  0.444785
2021-09-25 11:04:03.593378 : Epoch  6, Batch    811, Loss  0.870998, Average Loss  0.870192, Time  0.459633
2021-09-25 11:04:09.624852 : Epoch  6, Batch    812, Loss  0.856037, Average Loss  0.870179, Time  0.447925
2021-09-25 11:04:15.623678 : Epoch  6, Batch    813, Loss  0.865300, Average Loss  0.870151, Time  0.446671
2021-09-25 11:04:21.627420 : Epoch  6, Batch    814, Loss  0.873507, Average Loss  0.870281, Time  0.445545
2021-09-25 11:04:27.649539 : Epoch  6, Batch    815, Loss  0.864915, Average Loss  0.870215, Time  0.444691
2021-09-25 11:04:33.649077 : Epoch  6, Batch    816, Loss  0.893137, Average Loss  0.870356, Time  0.445187
2021-09-25 11:04:39.671650 : Epoch  6, Batch    817, Loss  0.876662, Average Loss  0.870449, Time  0.443944
2021-09-25 11:04:45.674640 : Epoch  6, Batch    818, Loss  0.861740, Average Loss  0.870419, Time  0.445050
2021-09-25 11:04:51.666624 : Epoch  6, Batch    819, Loss  0.869960, Average Loss  0.870351, Time  0.454999
2021-09-25 11:04:57.651856 : Epoch  6, Batch    820, Loss  0.856735, Average Loss  0.870264, Time  0.444621
2021-09-25 11:05:03.644756 : Epoch  6, Batch    821, Loss  0.872976, Average Loss  0.870328, Time  0.445517
2021-09-25 11:05:09.657512 : Epoch  6, Batch    822, Loss  0.875002, Average Loss  0.870344, Time  0.444307
2021-09-25 11:05:15.664742 : Epoch  6, Batch    823, Loss  0.866657, Average Loss  0.870339, Time  0.444641
2021-09-25 11:05:21.647659 : Epoch  6, Batch    824, Loss  0.875174, Average Loss  0.870310, Time  0.446691
2021-09-25 11:05:27.652342 : Epoch  6, Batch    825, Loss  0.880666, Average Loss  0.870335, Time  0.444301
2021-09-25 11:05:33.678791 : Epoch  6, Batch    826, Loss  0.867761, Average Loss  0.870393, Time  0.464044
2021-09-25 11:05:39.670319 : Epoch  6, Batch    827, Loss  0.862015, Average Loss  0.870308, Time  0.445637
2021-09-25 11:05:45.657913 : Epoch  6, Batch    828, Loss  0.860337, Average Loss  0.870322, Time  0.444073
2021-09-25 11:05:51.651649 : Epoch  6, Batch    829, Loss  0.876068, Average Loss  0.870378, Time  0.444162
2021-09-25 11:05:57.639655 : Epoch  6, Batch    830, Loss  0.871751, Average Loss  0.870367, Time  0.447606
2021-09-25 11:06:03.651172 : Epoch  6, Batch    831, Loss  0.883889, Average Loss  0.870424, Time  0.445882
2021-09-25 11:06:09.646913 : Epoch  6, Batch    832, Loss  0.861672, Average Loss  0.870358, Time  0.444452
2021-09-25 11:06:15.635465 : Epoch  6, Batch    833, Loss  0.867673, Average Loss  0.870344, Time  0.447428
2021-09-25 11:06:21.637495 : Epoch  6, Batch    834, Loss  0.878845, Average Loss  0.870389, Time  0.459765
2021-09-25 11:06:27.632927 : Epoch  6, Batch    835, Loss  0.872009, Average Loss  0.870387, Time  0.445225
2021-09-25 11:06:33.654877 : Epoch  6, Batch    836, Loss  0.882923, Average Loss  0.870477, Time  0.446216
2021-09-25 11:06:39.650365 : Epoch  6, Batch    837, Loss  0.863506, Average Loss  0.870451, Time  0.444555
2021-09-25 11:06:45.622829 : Epoch  6, Batch    838, Loss  0.867661, Average Loss  0.870466, Time  0.446513
2021-09-25 11:06:51.609362 : Epoch  6, Batch    839, Loss  0.884192, Average Loss  0.870570, Time  0.457543
2021-09-25 11:06:57.614124 : Epoch  6, Batch    840, Loss  0.858811, Average Loss  0.870511, Time  0.446064
2021-09-25 11:07:03.633405 : Epoch  6, Batch    841, Loss  0.866399, Average Loss  0.870471, Time  0.448715
2021-09-25 11:07:09.628690 : Epoch  6, Batch    842, Loss  0.894570, Average Loss  0.870616, Time  0.458514
2021-09-25 11:07:15.609227 : Epoch  6, Batch    843, Loss  0.874466, Average Loss  0.870640, Time  0.444768
2021-09-25 11:07:21.623060 : Epoch  6, Batch    844, Loss  0.874021, Average Loss  0.870638, Time  0.446343
2021-09-25 11:07:27.634183 : Epoch  6, Batch    845, Loss  0.879848, Average Loss  0.870705, Time  0.446228
2021-09-25 11:07:33.664275 : Epoch  6, Batch    846, Loss  0.879156, Average Loss  0.870786, Time  0.444304
2021-09-25 11:07:39.686170 : Epoch  6, Batch    847, Loss  0.871622, Average Loss  0.870799, Time  0.443973
2021-09-25 11:07:45.656960 : Epoch  6, Batch    848, Loss  0.873752, Average Loss  0.870749, Time  0.447733
2021-09-25 11:07:51.669353 : Epoch  6, Batch    849, Loss  0.877978, Average Loss  0.870760, Time  0.450399
2021-09-25 11:07:57.680675 : Epoch  6, Batch    850, Loss  0.857244, Average Loss  0.870641, Time  0.444954
2021-09-25 11:08:03.705665 : Epoch  6, Batch    851, Loss  0.875586, Average Loss  0.870629, Time  0.445886
2021-09-25 11:08:09.762978 : Epoch  6, Batch    852, Loss  0.881247, Average Loss  0.870694, Time  0.444442
2021-09-25 11:08:15.776805 : Epoch  6, Batch    853, Loss  0.867476, Average Loss  0.870724, Time  0.446215
2021-09-25 11:08:21.780797 : Epoch  6, Batch    854, Loss  0.871427, Average Loss  0.870758, Time  0.446092
2021-09-25 11:08:27.788007 : Epoch  6, Batch    855, Loss  0.872173, Average Loss  0.870738, Time  0.448786
2021-09-25 11:08:33.783737 : Epoch  6, Batch    856, Loss  0.874948, Average Loss  0.870699, Time  0.446199
2021-09-25 11:08:35.554041 : CheckPoint: Validation Loss  0.00014956, Best Loss  0.00014804
2021-09-25 11:08:39.790535 : Epoch  6, Batch    857, Loss  0.879580, Average Loss  0.870812, Time  0.453445
2021-09-25 11:08:41.639043 : Epoch  7, Batch    233, Loss  0.870057, Average Loss  0.870353, Time  0.446222
2021-09-25 11:08:45.783931 : Epoch  6, Batch    858, Loss  0.863688, Average Loss  0.870782, Time  0.446959
2021-09-25 11:08:47.758573 : Epoch  7, Batch    234, Loss  0.870580, Average Loss  0.870280, Time  0.446986
2021-09-25 11:08:51.805946 : Epoch  6, Batch    859, Loss  0.876307, Average Loss  0.870805, Time  0.446089
2021-09-25 11:08:53.890841 : Epoch  7, Batch    235, Loss  0.881206, Average Loss  0.870362, Time  0.445139
2021-09-25 11:08:57.820603 : Epoch  6, Batch    860, Loss  0.865597, Average Loss  0.870762, Time  0.447759
2021-09-25 11:09:00.043053 : Epoch  7, Batch    236, Loss  0.863502, Average Loss  0.870316, Time  0.446409
2021-09-25 11:09:06.197335 : Epoch  7, Batch    237, Loss  0.859391, Average Loss  0.870345, Time  0.458580
2021-09-25 11:09:12.315166 : Epoch  7, Batch    238, Loss  0.860554, Average Loss  0.870267, Time  0.446269
2021-09-25 11:09:18.442130 : Epoch  7, Batch    239, Loss  0.864125, Average Loss  0.870229, Time  0.444386
2021-09-25 11:09:24.581453 : Epoch  7, Batch    240, Loss  0.867250, Average Loss  0.870305, Time  0.445366
2021-09-25 11:09:30.705224 : Epoch  7, Batch    241, Loss  0.857129, Average Loss  0.870222, Time  0.444852
2021-09-25 11:09:36.852542 : Epoch  7, Batch    242, Loss  0.871230, Average Loss  0.870241, Time  0.445968
2021-09-25 11:09:43.016474 : Epoch  7, Batch    243, Loss  0.862772, Average Loss  0.870281, Time  0.446846
2021-09-25 11:09:49.139157 : Epoch  7, Batch    244, Loss  0.871312, Average Loss  0.870298, Time  0.444851
2021-09-25 11:09:55.302598 : Epoch  7, Batch    245, Loss  0.863055, Average Loss  0.870251, Time  0.459901
2021-09-25 11:10:01.447992 : Epoch  7, Batch    246, Loss  0.867093, Average Loss  0.870194, Time  0.445526
2021-09-25 11:10:07.606833 : Epoch  7, Batch    247, Loss  0.863250, Average Loss  0.870198, Time  0.449002
2021-09-25 11:10:13.748226 : Epoch  7, Batch    248, Loss  0.860067, Average Loss  0.870046, Time  0.445426
2021-09-25 11:10:19.900575 : Epoch  7, Batch    249, Loss  0.867078, Average Loss  0.870003, Time  0.452707
2021-09-25 11:10:26.045938 : Epoch  7, Batch    250, Loss  0.876258, Average Loss  0.869949, Time  0.447322
2021-09-25 11:10:32.181378 : Epoch  7, Batch    251, Loss  0.863206, Average Loss  0.869962, Time  0.445419
2021-09-25 11:10:38.349964 : Epoch  7, Batch    252, Loss  0.871390, Average Loss  0.869882, Time  0.454517
2021-09-25 11:10:44.505392 : Epoch  7, Batch    253, Loss  0.886051, Average Loss  0.869907, Time  0.447519
2021-09-25 11:10:50.634686 : Epoch  7, Batch    254, Loss  0.874813, Average Loss  0.869901, Time  0.446444
2021-09-25 11:10:56.760074 : Epoch  7, Batch    255, Loss  0.872040, Average Loss  0.869938, Time  0.444470
2021-09-25 11:11:02.889016 : Epoch  7, Batch    256, Loss  0.859677, Average Loss  0.869901, Time  0.445697
2021-09-25 11:11:09.019786 : Epoch  7, Batch    257, Loss  0.878079, Average Loss  0.869952, Time  0.444679
2021-09-25 11:11:15.114540 : Epoch  7, Batch    258, Loss  0.893250, Average Loss  0.870054, Time  0.445892
2021-09-25 11:11:21.138320 : Epoch  7, Batch    259, Loss  0.869514, Average Loss  0.869960, Time  0.447133
2021-09-25 11:11:27.215537 : Epoch  7, Batch    260, Loss  0.857779, Average Loss  0.869897, Time  0.460211
2021-09-25 11:11:33.271097 : Epoch  7, Batch    261, Loss  0.864952, Average Loss  0.869822, Time  0.444738
2021-09-25 11:11:39.319641 : Epoch  7, Batch    262, Loss  0.866930, Average Loss  0.869813, Time  0.447100
2021-09-25 11:11:45.385683 : Epoch  7, Batch    263, Loss  0.862621, Average Loss  0.869827, Time  0.450011
2021-09-25 11:11:51.448828 : Epoch  7, Batch    264, Loss  0.863549, Average Loss  0.869841, Time  0.445410
2021-09-25 11:11:57.515579 : Epoch  7, Batch    265, Loss  0.874646, Average Loss  0.869797, Time  0.449457
2021-09-25 11:12:03.573558 : Epoch  7, Batch    266, Loss  0.871209, Average Loss  0.869818, Time  0.444804
2021-09-25 11:12:09.623803 : Epoch  7, Batch    267, Loss  0.875575, Average Loss  0.869861, Time  0.452849
2021-09-25 11:12:15.683957 : Epoch  7, Batch    268, Loss  0.866882, Average Loss  0.869915, Time  0.445632
2021-09-25 11:12:21.738875 : Epoch  7, Batch    269, Loss  0.869695, Average Loss  0.869877, Time  0.447688
2021-09-25 11:12:27.814860 : Epoch  7, Batch    270, Loss  0.882777, Average Loss  0.869886, Time  0.445081
2021-09-25 11:12:33.886907 : Epoch  7, Batch    271, Loss  0.881104, Average Loss  0.869904, Time  0.445243
2021-09-25 11:12:39.946543 : Epoch  7, Batch    272, Loss  0.858343, Average Loss  0.869912, Time  0.445018
2021-09-25 11:12:46.014633 : Epoch  7, Batch    273, Loss  0.859313, Average Loss  0.869826, Time  0.447071
2021-09-25 11:12:52.087078 : Epoch  7, Batch    274, Loss  0.868645, Average Loss  0.869903, Time  0.448663
2021-09-25 11:12:58.175688 : Epoch  7, Batch    275, Loss  0.882337, Average Loss  0.869956, Time  0.458647
2021-09-25 11:13:04.234107 : Epoch  7, Batch    276, Loss  0.867715, Average Loss  0.869942, Time  0.448328
2021-09-25 11:13:10.287705 : Epoch  7, Batch    277, Loss  0.862844, Average Loss  0.869941, Time  0.446444
2021-09-25 11:13:16.326796 : Epoch  7, Batch    278, Loss  0.856652, Average Loss  0.869854, Time  0.445901
2021-09-25 11:13:22.380250 : Epoch  7, Batch    279, Loss  0.856869, Average Loss  0.869784, Time  0.444930
2021-09-25 11:13:28.442401 : Epoch  7, Batch    280, Loss  0.866109, Average Loss  0.869766, Time  0.445519
2021-09-25 11:13:34.507092 : Epoch  7, Batch    281, Loss  0.871709, Average Loss  0.869772, Time  0.445311
2021-09-25 11:13:40.572664 : Epoch  7, Batch    282, Loss  0.865722, Average Loss  0.869681, Time  0.461037
2021-09-25 11:13:40.766787 : CheckPoint: Validation Loss  0.00015361, Best Loss  0.00014758
2021-09-25 11:13:46.623798 : Epoch  7, Batch    283, Loss  0.864143, Average Loss  0.869685, Time  0.445237
2021-09-25 11:13:46.739298 : Epoch  6, Batch    861, Loss  0.884603, Average Loss  0.870822, Time  0.444517
2021-09-25 11:13:52.668058 : Epoch  7, Batch    284, Loss  0.852448, Average Loss  0.869520, Time  0.445049
2021-09-25 11:13:52.710119 : Epoch  6, Batch    862, Loss  0.871529, Average Loss  0.870914, Time  0.444754
2021-09-25 11:13:58.701785 : Epoch  6, Batch    863, Loss  0.885595, Average Loss  0.870955, Time  0.460687
2021-09-25 11:13:58.741738 : Epoch  7, Batch    285, Loss  0.868631, Average Loss  0.869435, Time  0.445599
2021-09-25 11:14:04.703855 : Epoch  6, Batch    864, Loss  0.852710, Average Loss  0.870940, Time  0.445920
2021-09-25 11:14:04.815940 : Epoch  7, Batch    286, Loss  0.859455, Average Loss  0.869408, Time  0.445650
2021-09-25 11:14:10.695454 : Epoch  6, Batch    865, Loss  0.875093, Average Loss  0.870956, Time  0.444955
2021-09-25 11:14:10.857963 : Epoch  7, Batch    287, Loss  0.866537, Average Loss  0.869416, Time  0.445657
2021-09-25 11:14:16.685737 : Epoch  6, Batch    866, Loss  0.879996, Average Loss  0.870934, Time  0.444283
2021-09-25 11:14:16.881923 : Epoch  7, Batch    288, Loss  0.874457, Average Loss  0.869451, Time  0.444808
2021-09-25 11:14:22.669984 : Epoch  6, Batch    867, Loss  0.874610, Average Loss  0.870868, Time  0.449005
2021-09-25 11:14:22.921555 : Epoch  7, Batch    289, Loss  0.875306, Average Loss  0.869472, Time  0.445069
2021-09-25 11:14:28.657976 : Epoch  6, Batch    868, Loss  0.863127, Average Loss  0.870856, Time  0.443947
2021-09-25 11:14:28.971998 : Epoch  7, Batch    290, Loss  0.861185, Average Loss  0.869377, Time  0.456078
2021-09-25 11:14:34.649305 : Epoch  6, Batch    869, Loss  0.860709, Average Loss  0.870815, Time  0.443817
2021-09-25 11:14:35.014364 : Epoch  7, Batch    291, Loss  0.875066, Average Loss  0.869375, Time  0.446333
2021-09-25 11:14:40.658956 : Epoch  6, Batch    870, Loss  0.872606, Average Loss  0.870826, Time  0.461226
2021-09-25 11:14:41.046989 : Epoch  7, Batch    292, Loss  0.868636, Average Loss  0.869339, Time  0.446009
2021-09-25 11:14:46.635133 : Epoch  6, Batch    871, Loss  0.858730, Average Loss  0.870772, Time  0.444758
2021-09-25 11:14:47.083151 : Epoch  7, Batch    293, Loss  0.886408, Average Loss  0.869403, Time  0.446331
2021-09-25 11:14:52.633838 : Epoch  6, Batch    872, Loss  0.873021, Average Loss  0.870863, Time  0.445403
2021-09-25 11:14:53.120049 : Epoch  7, Batch    294, Loss  0.871141, Average Loss  0.869320, Time  0.447445
2021-09-25 11:14:58.634377 : Epoch  6, Batch    873, Loss  0.871278, Average Loss  0.870870, Time  0.447069
2021-09-25 11:14:59.171678 : Epoch  7, Batch    295, Loss  0.869842, Average Loss  0.869252, Time  0.446429
2021-09-25 11:15:04.632892 : Epoch  6, Batch    874, Loss  0.869380, Average Loss  0.870840, Time  0.444511
2021-09-25 11:15:05.240325 : Epoch  7, Batch    296, Loss  0.848960, Average Loss  0.869122, Time  0.445215
2021-09-25 11:15:10.626702 : Epoch  6, Batch    875, Loss  0.872680, Average Loss  0.870803, Time  0.445868
2021-09-25 11:15:11.293172 : Epoch  7, Batch    297, Loss  0.868988, Average Loss  0.869077, Time  0.453812
2021-09-25 11:15:16.609116 : Epoch  6, Batch    876, Loss  0.861911, Average Loss  0.870818, Time  0.445517
2021-09-25 11:15:17.375110 : Epoch  7, Batch    298, Loss  0.856364, Average Loss  0.869074, Time  0.449505
2021-09-25 11:15:22.607542 : Epoch  6, Batch    877, Loss  0.863347, Average Loss  0.870858, Time  0.446843
2021-09-25 11:15:23.428452 : Epoch  7, Batch    299, Loss  0.884383, Average Loss  0.869143, Time  0.444710
2021-09-25 11:15:28.600606 : Epoch  6, Batch    878, Loss  0.876138, Average Loss  0.870896, Time  0.464853
2021-09-25 11:15:29.473011 : Epoch  7, Batch    300, Loss  0.873039, Average Loss  0.869113, Time  0.445990
2021-09-25 11:15:34.590429 : Epoch  6, Batch    879, Loss  0.870912, Average Loss  0.870926, Time  0.444760
2021-09-25 11:15:35.528791 : Epoch  7, Batch    301, Loss  0.858292, Average Loss  0.869117, Time  0.445462
2021-09-25 11:15:40.584748 : Epoch  6, Batch    880, Loss  0.881918, Average Loss  0.871037, Time  0.448232
2021-09-25 11:15:41.592331 : Epoch  7, Batch    302, Loss  0.852755, Average Loss  0.869049, Time  0.449768
2021-09-25 11:15:46.649124 : Epoch  6, Batch    881, Loss  0.866832, Average Loss  0.871084, Time  0.444366
2021-09-25 11:15:47.644396 : Epoch  7, Batch    303, Loss  0.889137, Average Loss  0.869205, Time  0.446434
2021-09-25 11:15:52.639182 : Epoch  6, Batch    882, Loss  0.861911, Average Loss  0.871046, Time  0.445277
2021-09-25 11:15:53.678221 : Epoch  7, Batch    304, Loss  0.875810, Average Loss  0.869223, Time  0.444816
2021-09-25 11:15:58.626645 : Epoch  6, Batch    883, Loss  0.849183, Average Loss  0.870840, Time  0.445287
2021-09-25 11:15:59.736355 : Epoch  7, Batch    305, Loss  0.883271, Average Loss  0.869211, Time  0.453813
2021-09-25 11:16:04.621772 : Epoch  6, Batch    884, Loss  0.863870, Average Loss  0.870787, Time  0.445482
2021-09-25 11:16:05.806256 : Epoch  7, Batch    306, Loss  0.871182, Average Loss  0.869212, Time  0.452950
2021-09-25 11:16:10.645231 : Epoch  6, Batch    885, Loss  0.864528, Average Loss  0.870817, Time  0.455137
2021-09-25 11:16:11.863851 : Epoch  7, Batch    307, Loss  0.868126, Average Loss  0.869306, Time  0.446158
2021-09-25 11:16:16.636193 : Epoch  6, Batch    886, Loss  0.876360, Average Loss  0.870842, Time  0.444864
2021-09-25 11:16:17.918751 : Epoch  7, Batch    308, Loss  0.857874, Average Loss  0.869244, Time  0.446848
2021-09-25 11:16:22.617296 : Epoch  6, Batch    887, Loss  0.860050, Average Loss  0.870738, Time  0.444444
2021-09-25 11:16:23.974757 : Epoch  7, Batch    309, Loss  0.880341, Average Loss  0.869243, Time  0.446222
2021-09-25 11:16:28.635494 : Epoch  6, Batch    888, Loss  0.884281, Average Loss  0.870795, Time  0.445021
2021-09-25 11:16:30.040691 : Epoch  7, Batch    310, Loss  0.865063, Average Loss  0.869226, Time  0.444847
2021-09-25 11:16:34.632518 : Epoch  6, Batch    889, Loss  0.886812, Average Loss  0.870852, Time  0.448396
2021-09-25 11:16:36.095611 : Epoch  7, Batch    311, Loss  0.883442, Average Loss  0.869268, Time  0.445984
2021-09-25 11:16:40.633749 : Epoch  6, Batch    890, Loss  0.863304, Average Loss  0.870798, Time  0.446298
2021-09-25 11:16:42.153950 : Epoch  7, Batch    312, Loss  0.860358, Average Loss  0.869218, Time  0.457177
2021-09-25 11:16:46.651873 : Epoch  6, Batch    891, Loss  0.876058, Average Loss  0.870869, Time  0.443822
2021-09-25 11:16:48.263765 : Epoch  7, Batch    313, Loss  0.869383, Average Loss  0.869122, Time  0.446024
2021-09-25 11:16:52.632784 : Epoch  6, Batch    892, Loss  0.863625, Average Loss  0.870841, Time  0.443709
2021-09-25 11:16:54.335538 : Epoch  7, Batch    314, Loss  0.871594, Average Loss  0.869135, Time  0.451651
2021-09-25 11:16:58.637480 : Epoch  6, Batch    893, Loss  0.866295, Average Loss  0.870864, Time  0.460336
2021-09-25 11:17:00.689108 : Epoch  7, Batch    315, Loss  0.875177, Average Loss  0.869196, Time  0.445843
2021-09-25 11:17:04.625629 : Epoch  6, Batch    894, Loss  0.876011, Average Loss  0.870937, Time  0.444006
2021-09-25 11:17:06.751198 : Epoch  7, Batch    316, Loss  0.878910, Average Loss  0.869150, Time  0.448314
2021-09-25 11:17:10.631354 : Epoch  6, Batch    895, Loss  0.864646, Average Loss  0.870966, Time  0.445582
2021-09-25 11:17:12.917289 : Epoch  7, Batch    317, Loss  0.877614, Average Loss  0.869265, Time  0.451743
2021-09-25 11:17:16.618017 : Epoch  6, Batch    896, Loss  0.869180, Average Loss  0.870976, Time  0.451663
2021-09-25 11:17:19.058810 : Epoch  7, Batch    318, Loss  0.869697, Average Loss  0.869275, Time  0.444886
2021-09-25 11:17:22.620358 : Epoch  6, Batch    897, Loss  0.874407, Average Loss  0.871055, Time  0.445364
2021-09-25 11:17:25.139397 : Epoch  7, Batch    319, Loss  0.858564, Average Loss  0.869188, Time  0.445714
2021-09-25 11:17:28.602138 : Epoch  6, Batch    898, Loss  0.865920, Average Loss  0.871059, Time  0.445548
2021-09-25 11:17:31.234669 : Epoch  7, Batch    320, Loss  0.870700, Average Loss  0.869156, Time  0.460857
2021-09-25 11:17:34.605713 : Epoch  6, Batch    899, Loss  0.883771, Average Loss  0.871123, Time  0.448684
2021-09-25 11:17:37.341714 : Epoch  7, Batch    321, Loss  0.877944, Average Loss  0.869244, Time  0.445938
2021-09-25 11:17:40.622171 : Epoch  6, Batch    900, Loss  0.871899, Average Loss  0.871230, Time  0.461885
2021-09-25 11:17:43.418538 : Epoch  7, Batch    322, Loss  0.873165, Average Loss  0.869217, Time  0.448283
2021-09-25 11:17:46.611612 : Epoch  6, Batch    901, Loss  0.867043, Average Loss  0.871183, Time  0.445077
2021-09-25 11:17:49.483770 : Epoch  7, Batch    323, Loss  0.878020, Average Loss  0.869230, Time  0.446066
2021-09-25 11:17:52.606542 : Epoch  6, Batch    902, Loss  0.862001, Average Loss  0.871155, Time  0.444414
2021-09-25 11:17:55.558272 : Epoch  7, Batch    324, Loss  0.880978, Average Loss  0.869301, Time  0.445526
2021-09-25 11:17:58.604149 : Epoch  6, Batch    903, Loss  0.872233, Average Loss  0.871186, Time  0.443935
2021-09-25 11:18:01.622155 : Epoch  7, Batch    325, Loss  0.868855, Average Loss  0.869312, Time  0.447384
2021-09-25 11:18:04.612802 : Epoch  6, Batch    904, Loss  0.872168, Average Loss  0.871187, Time  0.445009
2021-09-25 11:18:07.664700 : Epoch  7, Batch    326, Loss  0.863549, Average Loss  0.869248, Time  0.445705
2021-09-25 11:18:10.582702 : Epoch  6, Batch    905, Loss  0.877566, Average Loss  0.871175, Time  0.445380
2021-09-25 11:18:13.741905 : Epoch  7, Batch    327, Loss  0.883172, Average Loss  0.869228, Time  0.457259
2021-09-25 11:18:16.591381 : Epoch  6, Batch    906, Loss  0.856992, Average Loss  0.871074, Time  0.448565
2021-09-25 11:18:19.796486 : Epoch  7, Batch    328, Loss  0.858351, Average Loss  0.869135, Time  0.447567
2021-09-25 11:18:22.576970 : Epoch  6, Batch    907, Loss  0.877726, Average Loss  0.871128, Time  0.444981
2021-09-25 11:18:25.847838 : Epoch  7, Batch    329, Loss  0.876275, Average Loss  0.869172, Time  0.444829
2021-09-25 11:18:28.584929 : Epoch  6, Batch    908, Loss  0.858242, Average Loss  0.870968, Time  0.464115
2021-09-25 11:18:31.943453 : Epoch  7, Batch    330, Loss  0.859629, Average Loss  0.869164, Time  0.446224
2021-09-25 11:18:34.605577 : Epoch  6, Batch    909, Loss  0.879258, Average Loss  0.871017, Time  0.444625
2021-09-25 11:18:38.006840 : Epoch  7, Batch    331, Loss  0.882464, Average Loss  0.869269, Time  0.445808
2021-09-25 11:18:40.602291 : Epoch  6, Batch    910, Loss  0.870558, Average Loss  0.870979, Time  0.449380
2021-09-25 11:18:44.076579 : Epoch  7, Batch    332, Loss  0.868938, Average Loss  0.869299, Time  0.445042
2021-09-25 11:18:46.625383 : Epoch  6, Batch    911, Loss  0.876704, Average Loss  0.871006, Time  0.448369
2021-09-25 11:18:52.628064 : Epoch  6, Batch    912, Loss  0.877043, Average Loss  0.870985, Time  0.445734
2021-09-25 11:18:58.629869 : Epoch  6, Batch    913, Loss  0.863416, Average Loss  0.870979, Time  0.444632
2021-09-25 11:19:04.619784 : Epoch  6, Batch    914, Loss  0.864589, Average Loss  0.870881, Time  0.444115
2021-09-25 11:19:10.633362 : Epoch  6, Batch    915, Loss  0.878422, Average Loss  0.870883, Time  0.456150
2021-09-25 11:19:16.632305 : Epoch  6, Batch    916, Loss  0.881003, Average Loss  0.870980, Time  0.448427
2021-09-25 11:19:22.610284 : Epoch  6, Batch    917, Loss  0.861110, Average Loss  0.870855, Time  0.445123
2021-09-25 11:19:28.605252 : Epoch  6, Batch    918, Loss  0.861914, Average Loss  0.870787, Time  0.445855
2021-09-25 11:19:34.598895 : Epoch  6, Batch    919, Loss  0.870453, Average Loss  0.870766, Time  0.452514
2021-09-25 11:19:40.592874 : Epoch  6, Batch    920, Loss  0.865112, Average Loss  0.870729, Time  0.445372
2021-09-25 11:19:46.587984 : Epoch  6, Batch    921, Loss  0.876435, Average Loss  0.870743, Time  0.444166
2021-09-25 11:19:52.554806 : Epoch  6, Batch    922, Loss  0.879740, Average Loss  0.870781, Time  0.446621
2021-09-25 11:19:58.576102 : Epoch  6, Batch    923, Loss  0.861898, Average Loss  0.870702, Time  0.460534
2021-09-25 11:20:04.567241 : Epoch  6, Batch    924, Loss  0.866775, Average Loss  0.870681, Time  0.444972
2021-09-25 11:20:10.532471 : Epoch  6, Batch    925, Loss  0.863596, Average Loss  0.870654, Time  0.445956
2021-09-25 11:20:16.517145 : Epoch  6, Batch    926, Loss  0.874389, Average Loss  0.870778, Time  0.444274
2021-09-25 11:20:22.514135 : Epoch  6, Batch    927, Loss  0.866700, Average Loss  0.870760, Time  0.444475
2021-09-25 11:20:28.497694 : Epoch  6, Batch    928, Loss  0.856742, Average Loss  0.870675, Time  0.443688
2021-09-25 11:20:28.528561 : Saving Model after 6-th Epoch.
2021-09-25 11:20:29.323525 : Epoch Finished.
2021-09-25 11:20:34.954683 : Batch Shuffled
2021-09-25 11:20:40.950024 : Epoch  7, Batch      1, Loss  0.870553, Average Loss  0.870700, Time  0.449138
2021-09-25 11:20:46.931306 : Epoch  7, Batch      2, Loss  0.856447, Average Loss  0.870640, Time  0.455855
2021-09-25 11:20:52.922314 : Epoch  7, Batch      3, Loss  0.870723, Average Loss  0.870526, Time  0.444410
2021-09-25 11:20:58.890310 : Epoch  7, Batch      4, Loss  0.885890, Average Loss  0.870563, Time  0.449762
2021-09-25 11:21:04.871699 : Epoch  7, Batch      5, Loss  0.862482, Average Loss  0.870565, Time  0.444688
2021-09-25 11:21:10.854317 : Epoch  7, Batch      6, Loss  0.868284, Average Loss  0.870522, Time  0.444884
2021-09-25 11:21:16.825891 : Epoch  7, Batch      7, Loss  0.861150, Average Loss  0.870466, Time  0.444345
2021-09-25 11:21:22.788815 : Epoch  7, Batch      8, Loss  0.866785, Average Loss  0.870489, Time  0.444931
2021-09-25 11:21:28.780754 : Epoch  7, Batch      9, Loss  0.880183, Average Loss  0.870575, Time  0.459227
2021-09-25 11:21:34.771981 : Epoch  7, Batch     10, Loss  0.860980, Average Loss  0.870507, Time  0.444898
2021-09-25 11:21:40.749830 : Epoch  7, Batch     11, Loss  0.873840, Average Loss  0.870450, Time  0.447984
2021-09-25 11:21:46.739868 : Epoch  7, Batch     12, Loss  0.857407, Average Loss  0.870427, Time  0.444871
2021-09-25 11:21:52.729813 : Epoch  7, Batch     13, Loss  0.866831, Average Loss  0.870366, Time  0.443725
2021-09-25 11:21:58.715266 : Epoch  7, Batch     14, Loss  0.869266, Average Loss  0.870300, Time  0.447362
2021-09-25 11:22:04.709192 : Epoch  7, Batch     15, Loss  0.868482, Average Loss  0.870261, Time  0.445038
2021-09-25 11:22:10.694592 : Epoch  7, Batch     16, Loss  0.859694, Average Loss  0.870258, Time  0.445737
2021-09-25 11:22:16.697959 : Epoch  7, Batch     17, Loss  0.873005, Average Loss  0.870253, Time  0.466269
2021-09-25 11:22:22.683907 : Epoch  7, Batch     18, Loss  0.869287, Average Loss  0.870200, Time  0.447357
2021-09-25 11:22:28.647064 : Epoch  7, Batch     19, Loss  0.862665, Average Loss  0.870063, Time  0.444551
2021-09-25 11:22:34.607830 : Epoch  7, Batch     20, Loss  0.861992, Average Loss  0.870073, Time  0.444023
2021-09-25 11:22:40.574897 : Epoch  7, Batch     21, Loss  0.845527, Average Loss  0.869919, Time  0.445764
2021-09-25 11:22:46.560901 : Epoch  7, Batch     22, Loss  0.859837, Average Loss  0.869792, Time  0.447353
2021-09-25 11:22:52.539119 : Epoch  7, Batch     23, Loss  0.862773, Average Loss  0.869769, Time  0.444151
2021-09-25 11:22:58.525544 : Epoch  7, Batch     24, Loss  0.858841, Average Loss  0.869705, Time  0.459447
2021-09-25 11:23:04.503647 : Epoch  7, Batch     25, Loss  0.872121, Average Loss  0.869758, Time  0.446024
2021-09-25 11:23:10.476447 : Epoch  7, Batch     26, Loss  0.871934, Average Loss  0.869797, Time  0.445150
2021-09-25 11:23:16.446938 : Epoch  7, Batch     27, Loss  0.859547, Average Loss  0.869728, Time  0.448051
2021-09-25 11:23:22.434451 : Epoch  7, Batch     28, Loss  0.862426, Average Loss  0.869710, Time  0.444367
2021-09-25 11:23:28.437614 : Epoch  7, Batch     29, Loss  0.852275, Average Loss  0.869602, Time  0.445149
2021-09-25 11:23:31.351142 : CheckPoint: Validation Loss  0.00015304, Best Loss  0.00014804
2021-09-25 11:23:34.424223 : Epoch  7, Batch     30, Loss  0.861602, Average Loss  0.869564, Time  0.448844
2021-09-25 11:23:37.434844 : Epoch  7, Batch    333, Loss  0.864536, Average Loss  0.869275, Time  0.457601
2021-09-25 11:23:40.405866 : Epoch  7, Batch     31, Loss  0.873236, Average Loss  0.869588, Time  0.446835
2021-09-25 11:23:43.512408 : Epoch  7, Batch    334, Loss  0.877252, Average Loss  0.869343, Time  0.447665
2021-09-25 11:23:46.407031 : Epoch  7, Batch     32, Loss  0.872880, Average Loss  0.869641, Time  0.453692
2021-09-25 11:23:49.567939 : Epoch  7, Batch    335, Loss  0.875371, Average Loss  0.869373, Time  0.447866
2021-09-25 11:23:55.638434 : Epoch  7, Batch    336, Loss  0.869326, Average Loss  0.869374, Time  0.445715
2021-09-25 11:24:01.700792 : Epoch  7, Batch    337, Loss  0.870065, Average Loss  0.869409, Time  0.451209
2021-09-25 11:24:07.757279 : Epoch  7, Batch    338, Loss  0.864922, Average Loss  0.869372, Time  0.445400
2021-09-25 11:24:13.814567 : Epoch  7, Batch    339, Loss  0.867649, Average Loss  0.869283, Time  0.445229
2021-09-25 11:24:19.873788 : Epoch  7, Batch    340, Loss  0.862201, Average Loss  0.869216, Time  0.459438
2021-09-25 11:24:25.935081 : Epoch  7, Batch    341, Loss  0.864401, Average Loss  0.869180, Time  0.445527
2021-09-25 11:24:32.004853 : Epoch  7, Batch    342, Loss  0.854853, Average Loss  0.869120, Time  0.445787
2021-09-25 11:24:38.067536 : Epoch  7, Batch    343, Loss  0.881866, Average Loss  0.869225, Time  0.445240
2021-09-25 11:24:44.139647 : Epoch  7, Batch    344, Loss  0.878936, Average Loss  0.869261, Time  0.444713
2021-09-25 11:24:50.206536 : Epoch  7, Batch    345, Loss  0.869739, Average Loss  0.869255, Time  0.452382
2021-09-25 11:24:56.266643 : Epoch  7, Batch    346, Loss  0.858404, Average Loss  0.869179, Time  0.445125
2021-09-25 11:25:02.330310 : Epoch  7, Batch    347, Loss  0.856161, Average Loss  0.869033, Time  0.447931
2021-09-25 11:25:08.398535 : Epoch  7, Batch    348, Loss  0.854700, Average Loss  0.868986, Time  0.456045
2021-09-25 11:25:14.468674 : Epoch  7, Batch    349, Loss  0.864772, Average Loss  0.868983, Time  0.444803
2021-09-25 11:25:20.515372 : Epoch  7, Batch    350, Loss  0.883475, Average Loss  0.869057, Time  0.445420
2021-09-25 11:25:26.563802 : Epoch  7, Batch    351, Loss  0.859911, Average Loss  0.868993, Time  0.445395
2021-09-25 11:25:32.619377 : Epoch  7, Batch    352, Loss  0.857246, Average Loss  0.869019, Time  0.446607
2021-09-25 11:25:38.672495 : Epoch  7, Batch    353, Loss  0.865533, Average Loss  0.868985, Time  0.445450
2021-09-25 11:25:44.734813 : Epoch  7, Batch    354, Loss  0.879114, Average Loss  0.869023, Time  0.444596
2021-09-25 11:25:50.807649 : Epoch  7, Batch    355, Loss  0.866818, Average Loss  0.869061, Time  0.456453
2021-09-25 11:25:56.867165 : Epoch  7, Batch    356, Loss  0.855719, Average Loss  0.869043, Time  0.448413
2021-09-25 11:26:02.921321 : Epoch  7, Batch    357, Loss  0.877806, Average Loss  0.869075, Time  0.452054
2021-09-25 11:26:08.963613 : Epoch  7, Batch    358, Loss  0.886568, Average Loss  0.869202, Time  0.447298
2021-09-25 11:26:15.025887 : Epoch  7, Batch    359, Loss  0.879775, Average Loss  0.869231, Time  0.445285
2021-09-25 11:26:21.082349 : Epoch  7, Batch    360, Loss  0.870039, Average Loss  0.869189, Time  0.445300
2021-09-25 11:26:27.131710 : Epoch  7, Batch    361, Loss  0.861690, Average Loss  0.869140, Time  0.447193
2021-09-25 11:26:33.190857 : Epoch  7, Batch    362, Loss  0.864148, Average Loss  0.869150, Time  0.446820
2021-09-25 11:26:39.282159 : Epoch  7, Batch    363, Loss  0.868533, Average Loss  0.869155, Time  0.456964
2021-09-25 11:26:45.356303 : Epoch  7, Batch    364, Loss  0.871736, Average Loss  0.869132, Time  0.445402
2021-09-25 11:26:51.412492 : Epoch  7, Batch    365, Loss  0.861468, Average Loss  0.869042, Time  0.447228
2021-09-25 11:26:57.469065 : Epoch  7, Batch    366, Loss  0.860184, Average Loss  0.868989, Time  0.445942
2021-09-25 11:27:03.539507 : Epoch  7, Batch    367, Loss  0.859886, Average Loss  0.868885, Time  0.446242
2021-09-25 11:27:09.602624 : Epoch  7, Batch    368, Loss  0.865486, Average Loss  0.868861, Time  0.444910
2021-09-25 11:27:15.662925 : Epoch  7, Batch    369, Loss  0.878590, Average Loss  0.868894, Time  0.449492
2021-09-25 11:27:21.736027 : Epoch  7, Batch    370, Loss  0.858616, Average Loss  0.868851, Time  0.459181
2021-09-25 11:27:27.785843 : Epoch  7, Batch    371, Loss  0.862149, Average Loss  0.868825, Time  0.445081
2021-09-25 11:27:33.844872 : Epoch  7, Batch    372, Loss  0.870373, Average Loss  0.868915, Time  0.447103
2021-09-25 11:27:39.905979 : Epoch  7, Batch    373, Loss  0.859117, Average Loss  0.868841, Time  0.450355
2021-09-25 11:27:45.965303 : Epoch  7, Batch    374, Loss  0.859897, Average Loss  0.868794, Time  0.445160
2021-09-25 11:27:52.024546 : Epoch  7, Batch    375, Loss  0.877265, Average Loss  0.868794, Time  0.447603
2021-09-25 11:27:58.086973 : Epoch  7, Batch    376, Loss  0.869750, Average Loss  0.868804, Time  0.446777
2021-09-25 11:28:04.128060 : Epoch  7, Batch    377, Loss  0.870294, Average Loss  0.868766, Time  0.445112
2021-09-25 11:28:10.191779 : Epoch  7, Batch    378, Loss  0.858546, Average Loss  0.868722, Time  0.456727
2021-09-25 11:28:16.245805 : Epoch  7, Batch    379, Loss  0.870467, Average Loss  0.868724, Time  0.445174
2021-09-25 11:28:22.307849 : Epoch  7, Batch    380, Loss  0.869046, Average Loss  0.868661, Time  0.451230
2021-09-25 11:28:28.365050 : Epoch  7, Batch    381, Loss  0.879816, Average Loss  0.868719, Time  0.444432
2021-09-25 11:28:29.075396 : CheckPoint: Validation Loss  0.00014961, Best Loss  0.00014758
2021-09-25 11:28:34.418104 : Epoch  7, Batch    382, Loss  0.864963, Average Loss  0.868668, Time  0.444966
2021-09-25 11:28:35.056342 : Epoch  7, Batch     33, Loss  0.859751, Average Loss  0.869605, Time  0.444602
2021-09-25 11:28:40.466761 : Epoch  7, Batch    383, Loss  0.862316, Average Loss  0.868675, Time  0.447669
2021-09-25 11:28:41.067209 : Epoch  7, Batch     34, Loss  0.857064, Average Loss  0.869524, Time  0.443406
2021-09-25 11:28:46.530184 : Epoch  7, Batch    384, Loss  0.874063, Average Loss  0.868747, Time  0.449014
2021-09-25 11:28:47.068717 : Epoch  7, Batch     35, Loss  0.857691, Average Loss  0.869467, Time  0.445064
2021-09-25 11:28:52.608336 : Epoch  7, Batch    385, Loss  0.886522, Average Loss  0.868804, Time  0.461031
2021-09-25 11:28:53.073988 : Epoch  7, Batch     36, Loss  0.860837, Average Loss  0.869469, Time  0.444203
2021-09-25 11:28:58.663880 : Epoch  7, Batch    386, Loss  0.883092, Average Loss  0.868842, Time  0.445509
2021-09-25 11:28:59.082643 : Epoch  7, Batch     37, Loss  0.869015, Average Loss  0.869347, Time  0.444654
2021-09-25 11:29:04.718516 : Epoch  7, Batch    387, Loss  0.875466, Average Loss  0.868781, Time  0.447719
2021-09-25 11:29:05.080939 : Epoch  7, Batch     38, Loss  0.871697, Average Loss  0.869328, Time  0.455371
2021-09-25 11:29:10.780498 : Epoch  7, Batch    388, Loss  0.863823, Average Loss  0.868698, Time  0.445064
2021-09-25 11:29:11.063412 : Epoch  7, Batch     39, Loss  0.861855, Average Loss  0.869195, Time  0.444067
2021-09-25 11:29:16.839767 : Epoch  7, Batch    389, Loss  0.882024, Average Loss  0.868790, Time  0.445076
2021-09-25 11:29:17.055144 : Epoch  7, Batch     40, Loss  0.859845, Average Loss  0.869169, Time  0.444991
2021-09-25 11:29:22.916076 : Epoch  7, Batch    390, Loss  0.870776, Average Loss  0.868826, Time  0.455416
2021-09-25 11:29:23.055299 : Epoch  7, Batch     41, Loss  0.888074, Average Loss  0.869326, Time  0.445097
2021-09-25 11:29:28.975865 : Epoch  7, Batch    391, Loss  0.873504, Average Loss  0.868880, Time  0.445983
2021-09-25 11:29:29.043432 : Epoch  7, Batch     42, Loss  0.841883, Average Loss  0.869197, Time  0.444183
2021-09-25 11:29:35.040894 : Epoch  7, Batch    392, Loss  0.872781, Average Loss  0.868838, Time  0.447567
2021-09-25 11:29:35.070819 : Epoch  7, Batch     43, Loss  0.872313, Average Loss  0.869169, Time  0.444569
2021-09-25 11:29:41.097510 : Epoch  7, Batch     44, Loss  0.865684, Average Loss  0.869186, Time  0.448242
2021-09-25 11:29:41.132463 : Epoch  7, Batch    393, Loss  0.864672, Average Loss  0.868847, Time  0.463191
2021-09-25 11:29:47.133827 : Epoch  7, Batch     45, Loss  0.858924, Average Loss  0.869156, Time  0.447152
2021-09-25 11:29:47.182475 : Epoch  7, Batch    394, Loss  0.862552, Average Loss  0.868894, Time  0.445094
2021-09-25 11:29:53.162054 : Epoch  7, Batch     46, Loss  0.874674, Average Loss  0.869197, Time  0.467362
2021-09-25 11:29:53.222512 : Epoch  7, Batch    395, Loss  0.870678, Average Loss  0.868918, Time  0.445391
2021-09-25 11:29:59.163000 : Epoch  7, Batch     47, Loss  0.850580, Average Loss  0.869171, Time  0.444904
2021-09-25 11:29:59.260024 : Epoch  7, Batch    396, Loss  0.873796, Average Loss  0.868939, Time  0.445686
2021-09-25 11:30:05.190378 : Epoch  7, Batch     48, Loss  0.869367, Average Loss  0.869121, Time  0.444417
2021-09-25 11:30:05.306066 : Epoch  7, Batch    397, Loss  0.873271, Average Loss  0.868983, Time  0.446638
2021-09-25 11:30:11.183590 : Epoch  7, Batch     49, Loss  0.874014, Average Loss  0.869123, Time  0.444162
2021-09-25 11:30:11.347536 : Epoch  7, Batch    398, Loss  0.875461, Average Loss  0.869093, Time  0.445271
2021-09-25 11:30:17.160267 : Epoch  7, Batch     50, Loss  0.865277, Average Loss  0.869096, Time  0.444731
2021-09-25 11:30:17.384912 : Epoch  7, Batch    399, Loss  0.867481, Average Loss  0.869071, Time  0.444398
2021-09-25 11:30:23.182742 : Epoch  7, Batch     51, Loss  0.877305, Average Loss  0.869145, Time  0.444516
2021-09-25 11:30:23.440155 : Epoch  7, Batch    400, Loss  0.872149, Average Loss  0.869038, Time  0.455464
2021-09-25 11:30:29.206647 : Epoch  7, Batch     52, Loss  0.868704, Average Loss  0.869173, Time  0.444882
2021-09-25 11:30:29.487456 : Epoch  7, Batch    401, Loss  0.872729, Average Loss  0.869073, Time  0.445182
2021-09-25 11:30:35.223928 : Epoch  7, Batch     53, Loss  0.876041, Average Loss  0.869325, Time  0.446099
2021-09-25 11:30:35.543140 : Epoch  7, Batch    402, Loss  0.862235, Average Loss  0.869010, Time  0.445526
2021-09-25 11:30:41.252692 : Epoch  7, Batch     54, Loss  0.866669, Average Loss  0.869349, Time  0.460056
2021-09-25 11:30:41.593873 : Epoch  7, Batch    403, Loss  0.863420, Average Loss  0.869029, Time  0.445004
2021-09-25 11:30:47.262800 : Epoch  7, Batch     55, Loss  0.880082, Average Loss  0.869358, Time  0.444845
2021-09-25 11:30:47.646891 : Epoch  7, Batch    404, Loss  0.882725, Average Loss  0.869047, Time  0.445486
2021-09-25 11:30:53.273081 : Epoch  7, Batch     56, Loss  0.878959, Average Loss  0.869456, Time  0.445430
2021-09-25 11:30:53.729108 : Epoch  7, Batch    405, Loss  0.876588, Average Loss  0.869114, Time  0.445432
2021-09-25 11:30:59.261487 : Epoch  7, Batch     57, Loss  0.872638, Average Loss  0.869486, Time  0.445572
2021-09-25 11:30:59.760770 : Epoch  7, Batch    406, Loss  0.872356, Average Loss  0.869156, Time  0.445230
2021-09-25 11:31:05.277302 : Epoch  7, Batch     58, Loss  0.861360, Average Loss  0.869432, Time  0.444480
2021-09-25 11:31:05.808142 : Epoch  7, Batch    407, Loss  0.862029, Average Loss  0.869078, Time  0.447916
2021-09-25 11:31:11.275358 : Epoch  7, Batch     59, Loss  0.868016, Average Loss  0.869455, Time  0.445296
2021-09-25 11:31:11.849356 : Epoch  7, Batch    408, Loss  0.871187, Average Loss  0.869069, Time  0.459721
2021-09-25 11:31:17.288895 : Epoch  7, Batch     60, Loss  0.866676, Average Loss  0.869392, Time  0.444196
2021-09-25 11:31:17.883771 : Epoch  7, Batch    409, Loss  0.863521, Average Loss  0.869046, Time  0.449390
2021-09-25 11:31:23.297105 : Epoch  7, Batch     61, Loss  0.880407, Average Loss  0.869444, Time  0.444991
2021-09-25 11:31:23.938048 : Epoch  7, Batch    410, Loss  0.866151, Average Loss  0.869024, Time  0.445032
2021-09-25 11:31:29.318468 : Epoch  7, Batch     62, Loss  0.865142, Average Loss  0.869386, Time  0.463677
2021-09-25 11:31:29.989403 : Epoch  7, Batch    411, Loss  0.865260, Average Loss  0.869039, Time  0.447556
2021-09-25 11:31:35.376152 : Epoch  7, Batch     63, Loss  0.865979, Average Loss  0.869331, Time  0.455128
2021-09-25 11:31:36.060258 : Epoch  7, Batch    412, Loss  0.855936, Average Loss  0.868971, Time  0.446371
2021-09-25 11:31:41.380981 : Epoch  7, Batch     64, Loss  0.866665, Average Loss  0.869415, Time  0.444001
2021-09-25 11:31:42.132157 : Epoch  7, Batch    413, Loss  0.858788, Average Loss  0.868913, Time  0.449966
2021-09-25 11:31:47.398536 : Epoch  7, Batch     65, Loss  0.875999, Average Loss  0.869427, Time  0.444931
2021-09-25 11:31:48.206799 : Epoch  7, Batch    414, Loss  0.876547, Average Loss  0.868929, Time  0.448974
2021-09-25 11:31:53.404108 : Epoch  7, Batch     66, Loss  0.862124, Average Loss  0.869389, Time  0.446204
2021-09-25 11:31:54.269277 : Epoch  7, Batch    415, Loss  0.861350, Average Loss  0.868887, Time  0.460419
2021-09-25 11:31:59.429089 : Epoch  7, Batch     67, Loss  0.873614, Average Loss  0.869356, Time  0.444109
2021-09-25 11:32:00.330926 : Epoch  7, Batch    416, Loss  0.858398, Average Loss  0.868799, Time  0.445190
2021-09-25 11:32:05.431901 : Epoch  7, Batch     68, Loss  0.869794, Average Loss  0.869328, Time  0.444284
2021-09-25 11:32:06.380241 : Epoch  7, Batch    417, Loss  0.866432, Average Loss  0.868747, Time  0.446878
2021-09-25 11:32:11.433889 : Epoch  7, Batch     69, Loss  0.872044, Average Loss  0.869342, Time  0.455161
2021-09-25 11:32:12.437760 : Epoch  7, Batch    418, Loss  0.880037, Average Loss  0.868760, Time  0.444791
2021-09-25 11:32:17.412450 : Epoch  7, Batch     70, Loss  0.886316, Average Loss  0.869458, Time  0.444109
2021-09-25 11:32:18.473492 : Epoch  7, Batch    419, Loss  0.869309, Average Loss  0.868749, Time  0.444970
2021-09-25 11:32:23.407484 : Epoch  7, Batch     71, Loss  0.869356, Average Loss  0.869444, Time  0.446361
2021-09-25 11:32:24.517442 : Epoch  7, Batch    420, Loss  0.859750, Average Loss  0.868770, Time  0.445517
2021-09-25 11:32:29.443406 : Epoch  7, Batch     72, Loss  0.878273, Average Loss  0.869490, Time  0.444544
2021-09-25 11:32:30.584753 : Epoch  7, Batch    421, Loss  0.870566, Average Loss  0.868775, Time  0.445710
2021-09-25 11:32:35.461152 : Epoch  7, Batch     73, Loss  0.865936, Average Loss  0.869473, Time  0.444304
2021-09-25 11:32:36.666464 : Epoch  7, Batch    422, Loss  0.860688, Average Loss  0.868753, Time  0.450121
2021-09-25 11:32:41.489958 : Epoch  7, Batch     74, Loss  0.855339, Average Loss  0.869397, Time  0.444091
2021-09-25 11:32:42.739343 : Epoch  7, Batch    423, Loss  0.866058, Average Loss  0.868758, Time  0.459641
2021-09-25 11:32:47.512974 : Epoch  7, Batch     75, Loss  0.873809, Average Loss  0.869386, Time  0.446624
2021-09-25 11:32:48.782255 : Epoch  7, Batch    424, Loss  0.867088, Average Loss  0.868826, Time  0.445344
2021-09-25 11:32:53.523423 : Epoch  7, Batch     76, Loss  0.876623, Average Loss  0.869514, Time  0.444387
2021-09-25 11:32:54.848111 : Epoch  7, Batch    425, Loss  0.869576, Average Loss  0.868833, Time  0.449655
2021-09-25 11:32:59.539815 : Epoch  7, Batch     77, Loss  0.855633, Average Loss  0.869473, Time  0.454415
2021-09-25 11:33:00.907402 : Epoch  7, Batch    426, Loss  0.879734, Average Loss  0.868917, Time  0.444887
2021-09-25 11:33:05.518671 : Epoch  7, Batch     78, Loss  0.871481, Average Loss  0.869428, Time  0.445090
2021-09-25 11:33:06.957953 : Epoch  7, Batch    427, Loss  0.863424, Average Loss  0.868868, Time  0.445858
2021-09-25 11:33:11.522577 : Epoch  7, Batch     79, Loss  0.873923, Average Loss  0.869394, Time  0.444126
2021-09-25 11:33:13.020921 : Epoch  7, Batch    428, Loss  0.877776, Average Loss  0.868864, Time  0.445022
2021-09-25 11:33:17.558377 : Epoch  7, Batch     80, Loss  0.859778, Average Loss  0.869312, Time  0.444583
2021-09-25 11:33:19.094407 : Epoch  7, Batch    429, Loss  0.878551, Average Loss  0.868956, Time  0.445260
2021-09-25 11:33:23.580481 : Epoch  7, Batch     81, Loss  0.877777, Average Loss  0.869306, Time  0.445571
2021-09-25 11:33:25.169365 : Epoch  7, Batch    430, Loss  0.880259, Average Loss  0.869094, Time  0.460822
2021-09-25 11:33:29.580835 : Epoch  7, Batch     82, Loss  0.881719, Average Loss  0.869380, Time  0.444015
2021-09-25 11:33:31.236749 : Epoch  7, Batch    431, Loss  0.891726, Average Loss  0.869219, Time  0.445416
2021-09-25 11:33:35.594548 : Epoch  7, Batch     83, Loss  0.877759, Average Loss  0.869414, Time  0.444131
2021-09-25 11:33:41.649243 : Epoch  7, Batch     84, Loss  0.872291, Average Loss  0.869495, Time  0.456971
2021-09-25 11:33:42.910404 : Epoch  7, Batch    432, Loss  0.875477, Average Loss  0.869204, Time  0.451772
2021-09-25 11:33:47.678378 : Epoch  7, Batch     85, Loss  0.887016, Average Loss  0.869604, Time  0.447013
2021-09-25 11:33:53.690277 : Epoch  7, Batch     86, Loss  0.857274, Average Loss  0.869522, Time  0.446498
2021-09-25 11:33:59.710274 : Epoch  7, Batch     87, Loss  0.879335, Average Loss  0.869595, Time  0.444461
2021-09-25 11:34:05.738322 : Epoch  7, Batch     88, Loss  0.888134, Average Loss  0.869570, Time  0.444463
2021-09-25 11:34:11.732132 : Epoch  7, Batch     89, Loss  0.864422, Average Loss  0.869508, Time  0.444580
2021-09-25 11:34:17.758401 : Epoch  7, Batch     90, Loss  0.870667, Average Loss  0.869553, Time  0.448236
2021-09-25 11:34:23.764810 : Epoch  7, Batch     91, Loss  0.866163, Average Loss  0.869534, Time  0.449215
2021-09-25 11:34:29.794413 : Epoch  7, Batch     92, Loss  0.874234, Average Loss  0.869621, Time  0.454881
2021-09-25 11:34:35.798956 : Epoch  7, Batch     93, Loss  0.866779, Average Loss  0.869591, Time  0.444569
2021-09-25 11:34:41.798799 : Epoch  7, Batch     94, Loss  0.880501, Average Loss  0.869618, Time  0.443716
2021-09-25 11:34:47.815966 : Epoch  7, Batch     95, Loss  0.853342, Average Loss  0.869551, Time  0.448539
2021-09-25 11:34:53.818986 : Epoch  7, Batch     96, Loss  0.866085, Average Loss  0.869506, Time  0.447532
2021-09-25 11:34:59.823224 : Epoch  7, Batch     97, Loss  0.865416, Average Loss  0.869430, Time  0.445009
2021-09-25 11:35:05.830982 : Epoch  7, Batch     98, Loss  0.880674, Average Loss  0.869494, Time  0.444700
2021-09-25 11:35:11.848734 : Epoch  7, Batch     99, Loss  0.879965, Average Loss  0.869584, Time  0.459599
2021-09-25 11:35:17.854312 : Epoch  7, Batch    100, Loss  0.876641, Average Loss  0.869666, Time  0.444037
2021-09-25 11:35:23.880032 : Epoch  7, Batch    101, Loss  0.873686, Average Loss  0.869654, Time  0.445217
2021-09-25 11:35:29.890490 : Epoch  7, Batch    102, Loss  0.887532, Average Loss  0.869733, Time  0.444477
2021-09-25 11:35:35.902196 : Epoch  7, Batch    103, Loss  0.870691, Average Loss  0.869667, Time  0.445135
2021-09-25 11:35:41.911893 : Epoch  7, Batch    104, Loss  0.844240, Average Loss  0.869579, Time  0.444761
2021-09-25 11:35:47.904725 : Epoch  7, Batch    105, Loss  0.870472, Average Loss  0.869593, Time  0.446502
2021-09-25 11:35:53.907438 : Epoch  7, Batch    106, Loss  0.860542, Average Loss  0.869502, Time  0.444036
2021-09-25 11:35:59.906417 : Epoch  7, Batch    107, Loss  0.864287, Average Loss  0.869463, Time  0.451250
2021-09-25 11:36:05.895477 : Epoch  7, Batch    108, Loss  0.872132, Average Loss  0.869409, Time  0.445834
2021-09-25 11:36:11.910831 : Epoch  7, Batch    109, Loss  0.867028, Average Loss  0.869427, Time  0.444313
2021-09-25 11:36:17.910185 : Epoch  7, Batch    110, Loss  0.875945, Average Loss  0.869468, Time  0.444519
2021-09-25 11:36:23.914047 : Epoch  7, Batch    111, Loss  0.866834, Average Loss  0.869382, Time  0.445193
2021-09-25 11:36:29.923721 : Epoch  7, Batch    112, Loss  0.869627, Average Loss  0.869436, Time  0.444516
2021-09-25 11:36:35.933841 : Epoch  7, Batch    113, Loss  0.863699, Average Loss  0.869422, Time  0.445873
2021-09-25 11:36:41.961902 : Epoch  7, Batch    114, Loss  0.869372, Average Loss  0.869296, Time  0.456211
2021-09-25 11:36:47.959058 : Epoch  7, Batch    115, Loss  0.877890, Average Loss  0.869313, Time  0.446838
2021-09-25 11:36:53.960343 : Epoch  7, Batch    116, Loss  0.862785, Average Loss  0.869257, Time  0.443911
2021-09-25 11:36:59.985778 : Epoch  7, Batch    117, Loss  0.862186, Average Loss  0.869169, Time  0.446827
2021-09-25 11:37:05.982048 : Epoch  7, Batch    118, Loss  0.861679, Average Loss  0.869081, Time  0.444814
2021-09-25 11:37:12.006759 : Epoch  7, Batch    119, Loss  0.849578, Average Loss  0.868971, Time  0.444475
2021-09-25 11:37:18.027236 : Epoch  7, Batch    120, Loss  0.864970, Average Loss  0.868927, Time  0.444105
2021-09-25 11:37:24.045460 : Epoch  7, Batch    121, Loss  0.875447, Average Loss  0.868915, Time  0.444238
2021-09-25 11:37:30.076820 : Epoch  7, Batch    122, Loss  0.870472, Average Loss  0.868981, Time  0.456418
2021-09-25 11:37:36.091185 : Epoch  7, Batch    123, Loss  0.868180, Average Loss  0.868944, Time  0.447322
2021-09-25 11:37:42.116930 : Epoch  7, Batch    124, Loss  0.856578, Average Loss  0.868820, Time  0.445825
2021-09-25 11:37:48.128537 : Epoch  7, Batch    125, Loss  0.867692, Average Loss  0.868821, Time  0.443921
2021-09-25 11:37:54.165853 : Epoch  7, Batch    126, Loss  0.871176, Average Loss  0.868820, Time  0.447984
2021-09-25 11:38:00.170253 : Epoch  7, Batch    127, Loss  0.883974, Average Loss  0.868879, Time  0.444828
2021-09-25 11:38:06.169106 : Epoch  7, Batch    128, Loss  0.855492, Average Loss  0.868782, Time  0.447480
2021-09-25 11:38:12.182571 : Epoch  7, Batch    129, Loss  0.864695, Average Loss  0.868708, Time  0.445559
2021-09-25 11:38:18.225928 : Epoch  7, Batch    130, Loss  0.847040, Average Loss  0.868624, Time  0.464406
2021-09-25 11:38:24.250579 : Epoch  7, Batch    131, Loss  0.867772, Average Loss  0.868582, Time  0.444407
2021-09-25 11:38:29.350730 : CheckPoint: Validation Loss  0.00015057, Best Loss  0.00014804
2021-09-25 11:38:30.257221 : Epoch  7, Batch    132, Loss  0.858705, Average Loss  0.868547, Time  0.448074
2021-09-25 11:38:35.428644 : Epoch  7, Batch    433, Loss  0.876057, Average Loss  0.869234, Time  0.445888
2021-09-25 11:38:41.491578 : Epoch  7, Batch    434, Loss  0.864716, Average Loss  0.869205, Time  0.445007
2021-09-25 11:38:47.542634 : Epoch  7, Batch    435, Loss  0.874224, Average Loss  0.869170, Time  0.460045
2021-09-25 11:38:53.598822 : Epoch  7, Batch    436, Loss  0.860900, Average Loss  0.869157, Time  0.446313
2021-09-25 11:38:59.647780 : Epoch  7, Batch    437, Loss  0.863201, Average Loss  0.869176, Time  0.448144
2021-09-25 11:39:05.691436 : Epoch  7, Batch    438, Loss  0.867502, Average Loss  0.869211, Time  0.445179
2021-09-25 11:39:11.748694 : Epoch  7, Batch    439, Loss  0.873070, Average Loss  0.869255, Time  0.447581
2021-09-25 11:39:17.790792 : Epoch  7, Batch    440, Loss  0.871593, Average Loss  0.869277, Time  0.444950
2021-09-25 11:39:23.850806 : Epoch  7, Batch    441, Loss  0.863602, Average Loss  0.869309, Time  0.448278
2021-09-25 11:39:29.892842 : Epoch  7, Batch    442, Loss  0.876063, Average Loss  0.869334, Time  0.445974
2021-09-25 11:39:35.950799 : Epoch  7, Batch    443, Loss  0.864291, Average Loss  0.869341, Time  0.453719
2021-09-25 11:39:41.993545 : Epoch  7, Batch    444, Loss  0.855327, Average Loss  0.869261, Time  0.446920
2021-09-25 11:39:48.028941 : Epoch  7, Batch    445, Loss  0.871493, Average Loss  0.869303, Time  0.451912
2021-09-25 11:39:54.065102 : Epoch  7, Batch    446, Loss  0.867003, Average Loss  0.869303, Time  0.445368
2021-09-25 11:40:00.098294 : Epoch  7, Batch    447, Loss  0.892340, Average Loss  0.869448, Time  0.445004
2021-09-25 11:40:06.134775 : Epoch  7, Batch    448, Loss  0.881070, Average Loss  0.869553, Time  0.445318
2021-09-25 11:40:12.185779 : Epoch  7, Batch    449, Loss  0.882518, Average Loss  0.869631, Time  0.446353
2021-09-25 11:40:18.241588 : Epoch  7, Batch    450, Loss  0.855376, Average Loss  0.869526, Time  0.456189
2021-09-25 11:40:24.284331 : Epoch  7, Batch    451, Loss  0.877816, Average Loss  0.869599, Time  0.447110
2021-09-25 11:40:30.315276 : Epoch  7, Batch    452, Loss  0.852180, Average Loss  0.869503, Time  0.447860
2021-09-25 11:40:36.361525 : Epoch  7, Batch    453, Loss  0.877054, Average Loss  0.869458, Time  0.445936
2021-09-25 11:40:42.408054 : Epoch  7, Batch    454, Loss  0.876863, Average Loss  0.869468, Time  0.445968
2021-09-25 11:40:48.450746 : Epoch  7, Batch    455, Loss  0.864398, Average Loss  0.869430, Time  0.446177
2021-09-25 11:40:54.508989 : Epoch  7, Batch    456, Loss  0.853372, Average Loss  0.869399, Time  0.446417
2021-09-25 11:41:00.556579 : Epoch  7, Batch    457, Loss  0.875125, Average Loss  0.869384, Time  0.445023
2021-09-25 11:41:06.616815 : Epoch  7, Batch    458, Loss  0.866259, Average Loss  0.869249, Time  0.458152
2021-09-25 11:41:12.658864 : Epoch  7, Batch    459, Loss  0.854215, Average Loss  0.869172, Time  0.446442
2021-09-25 11:41:18.700149 : Epoch  7, Batch    460, Loss  0.861038, Average Loss  0.869189, Time  0.446055
2021-09-25 11:41:24.763885 : Epoch  7, Batch    461, Loss  0.897929, Average Loss  0.869354, Time  0.451282
2021-09-25 11:41:30.821064 : Epoch  7, Batch    462, Loss  0.864238, Average Loss  0.869340, Time  0.445824
2021-09-25 11:41:36.876253 : Epoch  7, Batch    463, Loss  0.860508, Average Loss  0.869330, Time  0.456557
2021-09-25 11:41:42.923053 : Epoch  7, Batch    464, Loss  0.869166, Average Loss  0.869358, Time  0.445031
2021-09-25 11:41:48.974634 : Epoch  7, Batch    465, Loss  0.890585, Average Loss  0.869437, Time  0.454459
2021-09-25 11:41:55.031898 : Epoch  7, Batch    466, Loss  0.862567, Average Loss  0.869394, Time  0.453383
2021-09-25 11:42:01.084749 : Epoch  7, Batch    467, Loss  0.865781, Average Loss  0.869345, Time  0.447010
2021-09-25 11:42:07.119379 : Epoch  7, Batch    468, Loss  0.868054, Average Loss  0.869351, Time  0.445411
2021-09-25 11:42:13.166180 : Epoch  7, Batch    469, Loss  0.892127, Average Loss  0.869463, Time  0.447593
2021-09-25 11:42:19.209958 : Epoch  7, Batch    470, Loss  0.879472, Average Loss  0.869447, Time  0.445983
2021-09-25 11:42:25.242735 : Epoch  7, Batch    471, Loss  0.865578, Average Loss  0.869369, Time  0.447693
2021-09-25 11:42:31.289461 : Epoch  7, Batch    472, Loss  0.873994, Average Loss  0.869447, Time  0.445772
2021-09-25 11:42:37.360719 : Epoch  7, Batch    473, Loss  0.865496, Average Loss  0.869478, Time  0.460408
2021-09-25 11:42:43.400946 : Epoch  7, Batch    474, Loss  0.867399, Average Loss  0.869472, Time  0.446212
2021-09-25 11:42:49.444380 : Epoch  7, Batch    475, Loss  0.867346, Average Loss  0.869397, Time  0.445789
2021-09-25 11:42:55.496708 : Epoch  7, Batch    476, Loss  0.876422, Average Loss  0.869441, Time  0.449603
2021-09-25 11:43:01.520739 : Epoch  7, Batch    477, Loss  0.878088, Average Loss  0.869517, Time  0.445028
2021-09-25 11:43:07.563452 : Epoch  7, Batch    478, Loss  0.888666, Average Loss  0.869677, Time  0.445064
2021-09-25 11:43:13.547835 : CheckPoint: Validation Loss  0.00015312, Best Loss  0.00014758
2021-09-25 11:43:13.589820 : Epoch  7, Batch    479, Loss  0.871875, Average Loss  0.869752, Time  0.446012
2021-09-25 11:43:19.532099 : Epoch  7, Batch    133, Loss  0.858280, Average Loss  0.868416, Time  0.444758
2021-09-25 11:43:19.618455 : Epoch  7, Batch    480, Loss  0.863387, Average Loss  0.869738, Time  0.458828
2021-09-25 11:43:25.541888 : Epoch  7, Batch    134, Loss  0.868999, Average Loss  0.868403, Time  0.444839
2021-09-25 11:43:25.654385 : Epoch  7, Batch    481, Loss  0.872454, Average Loss  0.869742, Time  0.449125
2021-09-25 11:43:31.528798 : Epoch  7, Batch    135, Loss  0.863253, Average Loss  0.868291, Time  0.445377
2021-09-25 11:43:31.706902 : Epoch  7, Batch    482, Loss  0.861912, Average Loss  0.869723, Time  0.453251
2021-09-25 11:43:37.550698 : Epoch  7, Batch    136, Loss  0.871015, Average Loss  0.868383, Time  0.461516
2021-09-25 11:43:37.729641 : Epoch  7, Batch    483, Loss  0.869882, Average Loss  0.869752, Time  0.445114
2021-09-25 11:43:43.559879 : Epoch  7, Batch    137, Loss  0.882946, Average Loss  0.868422, Time  0.446021
2021-09-25 11:43:43.767148 : Epoch  7, Batch    484, Loss  0.866328, Average Loss  0.869821, Time  0.445783
2021-09-25 11:43:49.550144 : Epoch  7, Batch    138, Loss  0.873291, Average Loss  0.868388, Time  0.444534
2021-09-25 11:43:49.799599 : Epoch  7, Batch    485, Loss  0.865883, Average Loss  0.869807, Time  0.445143
2021-09-25 11:43:55.564095 : Epoch  7, Batch    139, Loss  0.848971, Average Loss  0.868260, Time  0.448452
2021-09-25 11:43:55.841384 : Epoch  7, Batch    486, Loss  0.873096, Average Loss  0.869876, Time  0.445491
2021-09-25 11:44:01.565975 : Epoch  7, Batch    140, Loss  0.871333, Average Loss  0.868301, Time  0.444395
2021-09-25 11:44:01.880676 : Epoch  7, Batch    487, Loss  0.852246, Average Loss  0.869804, Time  0.445862
2021-09-25 11:44:07.577807 : Epoch  7, Batch    141, Loss  0.879594, Average Loss  0.868396, Time  0.444693
2021-09-25 11:44:07.942480 : Epoch  7, Batch    488, Loss  0.864634, Average Loss  0.869755, Time  0.460306
2021-09-25 11:44:13.586004 : Epoch  7, Batch    142, Loss  0.859015, Average Loss  0.868328, Time  0.446440
2021-09-25 11:44:13.981659 : Epoch  7, Batch    489, Loss  0.862154, Average Loss  0.869689, Time  0.445063
2021-09-25 11:44:19.613213 : Epoch  7, Batch    143, Loss  0.863363, Average Loss  0.868351, Time  0.461905
2021-09-25 11:44:20.018384 : Epoch  7, Batch    490, Loss  0.869429, Average Loss  0.869730, Time  0.445282
2021-09-25 11:44:25.633695 : Epoch  7, Batch    144, Loss  0.862057, Average Loss  0.868296, Time  0.448486
2021-09-25 11:44:26.047519 : Epoch  7, Batch    491, Loss  0.872620, Average Loss  0.869718, Time  0.445373
2021-09-25 11:44:31.637648 : Epoch  7, Batch    145, Loss  0.863585, Average Loss  0.868258, Time  0.443557
2021-09-25 11:44:32.097408 : Epoch  7, Batch    492, Loss  0.875961, Average Loss  0.869755, Time  0.446845
2021-09-25 11:44:37.650296 : Epoch  7, Batch    146, Loss  0.877768, Average Loss  0.868300, Time  0.444656
2021-09-25 11:44:38.125615 : Epoch  7, Batch    493, Loss  0.863605, Average Loss  0.869641, Time  0.445690
2021-09-25 11:44:43.655754 : Epoch  7, Batch    147, Loss  0.881984, Average Loss  0.868346, Time  0.445811
2021-09-25 11:44:44.163053 : Epoch  7, Batch    494, Loss  0.879888, Average Loss  0.869685, Time  0.445325
2021-09-25 11:44:49.683724 : Epoch  7, Batch    148, Loss  0.874008, Average Loss  0.868407, Time  0.446719
2021-09-25 11:44:50.221340 : Epoch  7, Batch    495, Loss  0.890706, Average Loss  0.869789, Time  0.457750
2021-09-25 11:44:55.673393 : Epoch  7, Batch    149, Loss  0.860853, Average Loss  0.868394, Time  0.444562
2021-09-25 11:44:56.260350 : Epoch  7, Batch    496, Loss  0.883885, Average Loss  0.869964, Time  0.446016
2021-09-25 11:45:01.678861 : Epoch  7, Batch    150, Loss  0.874874, Average Loss  0.868388, Time  0.444484
2021-09-25 11:45:02.280791 : Epoch  7, Batch    497, Loss  0.874027, Average Loss  0.869989, Time  0.444358
2021-09-25 11:45:07.685077 : Epoch  7, Batch    151, Loss  0.866125, Average Loss  0.868364, Time  0.455387
2021-09-25 11:45:08.305165 : Epoch  7, Batch    498, Loss  0.869530, Average Loss  0.870055, Time  0.445414
2021-09-25 11:45:13.696623 : Epoch  7, Batch    152, Loss  0.887730, Average Loss  0.868393, Time  0.445344
2021-09-25 11:45:14.352333 : Epoch  7, Batch    499, Loss  0.863640, Average Loss  0.869951, Time  0.448195
2021-09-25 11:45:19.713148 : Epoch  7, Batch    153, Loss  0.856660, Average Loss  0.868342, Time  0.448755
2021-09-25 11:45:20.398407 : Epoch  7, Batch    500, Loss  0.856405, Average Loss  0.869868, Time  0.444956
2021-09-25 11:45:25.726629 : Epoch  7, Batch    154, Loss  0.869313, Average Loss  0.868379, Time  0.448707
2021-09-25 11:45:26.443764 : Epoch  7, Batch    501, Loss  0.870854, Average Loss  0.869930, Time  0.446296
2021-09-25 11:45:31.712524 : Epoch  7, Batch    155, Loss  0.855252, Average Loss  0.868409, Time  0.445496
2021-09-25 11:45:32.476308 : Epoch  7, Batch    502, Loss  0.849354, Average Loss  0.869913, Time  0.446669
2021-09-25 11:45:37.689895 : Epoch  7, Batch    156, Loss  0.876225, Average Loss  0.868471, Time  0.444816
2021-09-25 11:45:38.521304 : Epoch  7, Batch    503, Loss  0.866537, Average Loss  0.869800, Time  0.458519
2021-09-25 11:45:43.687065 : Epoch  7, Batch    157, Loss  0.884139, Average Loss  0.868569, Time  0.445928
2021-09-25 11:45:44.549520 : Epoch  7, Batch    504, Loss  0.860190, Average Loss  0.869722, Time  0.445166
2021-09-25 11:45:49.660565 : Epoch  7, Batch    158, Loss  0.874717, Average Loss  0.868561, Time  0.452592
2021-09-25 11:45:50.566277 : Epoch  7, Batch    505, Loss  0.883455, Average Loss  0.869723, Time  0.444955
2021-09-25 11:45:55.659204 : Epoch  7, Batch    159, Loss  0.860760, Average Loss  0.868565, Time  0.446014
2021-09-25 11:45:56.613685 : Epoch  7, Batch    506, Loss  0.879946, Average Loss  0.869767, Time  0.445232
2021-09-25 11:46:01.674990 : Epoch  7, Batch    160, Loss  0.861047, Average Loss  0.868448, Time  0.446004
2021-09-25 11:46:02.650068 : Epoch  7, Batch    507, Loss  0.871593, Average Loss  0.869784, Time  0.446547
2021-09-25 11:46:07.687987 : Epoch  7, Batch    161, Loss  0.874723, Average Loss  0.868388, Time  0.445343
2021-09-25 11:46:08.693695 : Epoch  7, Batch    508, Loss  0.857387, Average Loss  0.869782, Time  0.444756
2021-09-25 11:46:13.697815 : Epoch  7, Batch    162, Loss  0.869657, Average Loss  0.868420, Time  0.444333
2021-09-25 11:46:14.738785 : Epoch  7, Batch    509, Loss  0.855772, Average Loss  0.869659, Time  0.445236
2021-09-25 11:46:19.715209 : Epoch  7, Batch    163, Loss  0.848706, Average Loss  0.868283, Time  0.445234
2021-09-25 11:46:20.788673 : Epoch  7, Batch    510, Loss  0.873355, Average Loss  0.869701, Time  0.459795
2021-09-25 11:46:25.720774 : Epoch  7, Batch    164, Loss  0.853488, Average Loss  0.868232, Time  0.444301
2021-09-25 11:46:26.835974 : Epoch  7, Batch    511, Loss  0.862709, Average Loss  0.869597, Time  0.445766
2021-09-25 11:46:31.723219 : Epoch  7, Batch    165, Loss  0.870449, Average Loss  0.868253, Time  0.445264
2021-09-25 11:46:32.874877 : Epoch  7, Batch    512, Loss  0.862849, Average Loss  0.869609, Time  0.445014
2021-09-25 11:46:37.761670 : Epoch  7, Batch    166, Loss  0.867552, Average Loss  0.868211, Time  0.454927
2021-09-25 11:46:38.939378 : Epoch  7, Batch    513, Loss  0.867597, Average Loss  0.869601, Time  0.444904
2021-09-25 11:46:43.804132 : Epoch  7, Batch    167, Loss  0.882108, Average Loss  0.868298, Time  0.445093
2021-09-25 11:46:44.978067 : Epoch  7, Batch    514, Loss  0.850048, Average Loss  0.869493, Time  0.448084
2021-09-25 11:46:49.814517 : Epoch  7, Batch    168, Loss  0.871283, Average Loss  0.868309, Time  0.445117
2021-09-25 11:46:51.032143 : Epoch  7, Batch    515, Loss  0.852180, Average Loss  0.869378, Time  0.446481
2021-09-25 11:46:55.824148 : Epoch  7, Batch    169, Loss  0.869429, Average Loss  0.868284, Time  0.452248
2021-09-25 11:46:57.067274 : Epoch  7, Batch    516, Loss  0.878542, Average Loss  0.869376, Time  0.446175
2021-09-25 11:47:01.815207 : Epoch  7, Batch    170, Loss  0.871795, Average Loss  0.868313, Time  0.443875
2021-09-25 11:47:03.114210 : Epoch  7, Batch    517, Loss  0.866261, Average Loss  0.869319, Time  0.446844
2021-09-25 11:47:07.828897 : Epoch  7, Batch    171, Loss  0.866840, Average Loss  0.868228, Time  0.444463
2021-09-25 11:47:09.172830 : Epoch  7, Batch    518, Loss  0.861043, Average Loss  0.869276, Time  0.461687
2021-09-25 11:47:13.833687 : Epoch  7, Batch    172, Loss  0.864578, Average Loss  0.868192, Time  0.448275
2021-09-25 11:47:15.215540 : Epoch  7, Batch    519, Loss  0.849709, Average Loss  0.869232, Time  0.449182
2021-09-25 11:47:19.846011 : Epoch  7, Batch    173, Loss  0.860805, Average Loss  0.868161, Time  0.459197
2021-09-25 11:47:21.260563 : Epoch  7, Batch    520, Loss  0.883551, Average Loss  0.869296, Time  0.444964
2021-09-25 11:47:25.854946 : Epoch  7, Batch    174, Loss  0.877436, Average Loss  0.868238, Time  0.444820
2021-09-25 11:47:27.311824 : Epoch  7, Batch    521, Loss  0.863324, Average Loss  0.869223, Time  0.445315
2021-09-25 11:47:31.878820 : Epoch  7, Batch    175, Loss  0.868927, Average Loss  0.868221, Time  0.444223
2021-09-25 11:47:33.345617 : Epoch  7, Batch    522, Loss  0.881399, Average Loss  0.869264, Time  0.447126
2021-09-25 11:47:37.862361 : Epoch  7, Batch    176, Loss  0.884025, Average Loss  0.868281, Time  0.443853
2021-09-25 11:47:39.372901 : Epoch  7, Batch    523, Loss  0.878684, Average Loss  0.869267, Time  0.447527
2021-09-25 11:47:43.871166 : Epoch  7, Batch    177, Loss  0.885160, Average Loss  0.868319, Time  0.447410
2021-09-25 11:47:45.405058 : Epoch  7, Batch    524, Loss  0.873690, Average Loss  0.869231, Time  0.445046
2021-09-25 11:47:49.886854 : Epoch  7, Batch    178, Loss  0.867030, Average Loss  0.868369, Time  0.444744
2021-09-25 11:47:51.457001 : Epoch  7, Batch    525, Loss  0.868425, Average Loss  0.869229, Time  0.454912
2021-09-25 11:47:55.914955 : Epoch  7, Batch    179, Loss  0.863808, Average Loss  0.868299, Time  0.444949
2021-09-25 11:47:57.499931 : Epoch  7, Batch    526, Loss  0.871856, Average Loss  0.869270, Time  0.448442
2021-09-25 11:48:01.926473 : Epoch  7, Batch    180, Loss  0.854728, Average Loss  0.868282, Time  0.445151
2021-09-25 11:48:03.546974 : Epoch  7, Batch    527, Loss  0.853361, Average Loss  0.869121, Time  0.446224
2021-09-25 11:48:07.940086 : Epoch  7, Batch    181, Loss  0.870377, Average Loss  0.868237, Time  0.458248
2021-09-25 11:48:09.576038 : Epoch  7, Batch    528, Loss  0.866491, Average Loss  0.869162, Time  0.449764
2021-09-25 11:48:13.912338 : Epoch  7, Batch    182, Loss  0.873883, Average Loss  0.868254, Time  0.445023
2021-09-25 11:48:15.626313 : Epoch  7, Batch    529, Loss  0.855874, Average Loss  0.869060, Time  0.445258
2021-09-25 11:48:19.934720 : Epoch  7, Batch    183, Loss  0.864168, Average Loss  0.868191, Time  0.443997
2021-09-25 11:48:21.668664 : Epoch  7, Batch    530, Loss  0.891429, Average Loss  0.869219, Time  0.445709
2021-09-25 11:48:25.946294 : Epoch  7, Batch    184, Loss  0.854939, Average Loss  0.868081, Time  0.444798
2021-09-25 11:48:27.731904 : Epoch  7, Batch    531, Loss  0.873714, Average Loss  0.869175, Time  0.445056
2021-09-25 11:48:31.967221 : Epoch  7, Batch    185, Loss  0.865089, Average Loss  0.868089, Time  0.448300
2021-09-25 11:48:33.760803 : Epoch  7, Batch    532, Loss  0.862442, Average Loss  0.869143, Time  0.444839
2021-09-25 11:48:37.993965 : Epoch  7, Batch    186, Loss  0.861639, Average Loss  0.868074, Time  0.445702
2021-09-25 11:48:44.004105 : Epoch  7, Batch    187, Loss  0.876083, Average Loss  0.868062, Time  0.443485
2021-09-25 11:48:50.033796 : Epoch  7, Batch    188, Loss  0.872366, Average Loss  0.868019, Time  0.468937
2021-09-25 11:48:56.039918 : Epoch  7, Batch    189, Loss  0.867687, Average Loss  0.868052, Time  0.444867
2021-09-25 11:49:02.062424 : Epoch  7, Batch    190, Loss  0.879776, Average Loss  0.868142, Time  0.445109
2021-09-25 11:49:08.068843 : Epoch  7, Batch    191, Loss  0.876194, Average Loss  0.868170, Time  0.444858
2021-09-25 11:49:14.105535 : Epoch  7, Batch    192, Loss  0.874646, Average Loss  0.868218, Time  0.451466
2021-09-25 11:49:20.144962 : Epoch  7, Batch    193, Loss  0.878841, Average Loss  0.868230, Time  0.443917
2021-09-25 11:49:26.169256 : Epoch  7, Batch    194, Loss  0.870447, Average Loss  0.868183, Time  0.444554
2021-09-25 11:49:32.170854 : Epoch  7, Batch    195, Loss  0.877474, Average Loss  0.868261, Time  0.445816
2021-09-25 11:49:38.214975 : Epoch  7, Batch    196, Loss  0.868207, Average Loss  0.868268, Time  0.458955
2021-09-25 11:49:44.204327 : Epoch  7, Batch    197, Loss  0.865705, Average Loss  0.868279, Time  0.444710
2021-09-25 11:49:50.222629 : Epoch  7, Batch    198, Loss  0.859896, Average Loss  0.868207, Time  0.445251
2021-09-25 11:49:56.237115 : Epoch  7, Batch    199, Loss  0.860857, Average Loss  0.868177, Time  0.444288
2021-09-25 11:50:02.253329 : Epoch  7, Batch    200, Loss  0.867963, Average Loss  0.868233, Time  0.445293
2021-09-25 11:50:08.252521 : Epoch  7, Batch    201, Loss  0.862191, Average Loss  0.868192, Time  0.444022
2021-09-25 11:50:14.251058 : Epoch  7, Batch    202, Loss  0.875402, Average Loss  0.868286, Time  0.444819
2021-09-25 11:50:20.243797 : Epoch  7, Batch    203, Loss  0.866664, Average Loss  0.868266, Time  0.443835
2021-09-25 11:50:26.267247 : Epoch  7, Batch    204, Loss  0.862287, Average Loss  0.868148, Time  0.458500
2021-09-25 11:50:32.296163 : Epoch  7, Batch    205, Loss  0.872445, Average Loss  0.868198, Time  0.444794
2021-09-25 11:50:38.297580 : Epoch  7, Batch    206, Loss  0.885254, Average Loss  0.868283, Time  0.445209
2021-09-25 11:50:44.289248 : Epoch  7, Batch    207, Loss  0.854185, Average Loss  0.868248, Time  0.444477
2021-09-25 11:50:50.303967 : Epoch  7, Batch    208, Loss  0.874462, Average Loss  0.868286, Time  0.447362
2021-09-25 11:50:56.302694 : Epoch  7, Batch    209, Loss  0.865539, Average Loss  0.868213, Time  0.446635
2021-09-25 11:51:02.332209 : Epoch  7, Batch    210, Loss  0.892869, Average Loss  0.868373, Time  0.448264
2021-09-25 11:51:08.351330 : Epoch  7, Batch    211, Loss  0.879323, Average Loss  0.868400, Time  0.444123
2021-09-25 11:51:14.362808 : Epoch  7, Batch    212, Loss  0.853406, Average Loss  0.868380, Time  0.453668
2021-09-25 11:51:20.373348 : Epoch  7, Batch    213, Loss  0.887639, Average Loss  0.868484, Time  0.448162
2021-09-25 11:51:26.384691 : Epoch  7, Batch    214, Loss  0.886117, Average Loss  0.868568, Time  0.446507
2021-09-25 11:51:32.392657 : Epoch  7, Batch    215, Loss  0.875261, Average Loss  0.868602, Time  0.444524
2021-09-25 11:51:38.407244 : Epoch  7, Batch    216, Loss  0.860496, Average Loss  0.868606, Time  0.444145
2021-09-25 11:51:44.404662 : Epoch  7, Batch    217, Loss  0.876904, Average Loss  0.868626, Time  0.446506
2021-09-25 11:51:50.421281 : Epoch  7, Batch    218, Loss  0.879335, Average Loss  0.868676, Time  0.446269
2021-09-25 11:51:56.472081 : Epoch  7, Batch    219, Loss  0.877183, Average Loss  0.868748, Time  0.454540
2021-09-25 11:52:02.488351 : Epoch  7, Batch    220, Loss  0.866707, Average Loss  0.868772, Time  0.444880
2021-09-25 11:52:08.516562 : Epoch  7, Batch    221, Loss  0.862254, Average Loss  0.868856, Time  0.447886
2021-09-25 11:52:14.518558 : Epoch  7, Batch    222, Loss  0.880725, Average Loss  0.868960, Time  0.444105
2021-09-25 11:52:20.532277 : Epoch  7, Batch    223, Loss  0.869185, Average Loss  0.868992, Time  0.444411
2021-09-25 11:52:26.536885 : Epoch  7, Batch    224, Loss  0.867558, Average Loss  0.869036, Time  0.445234
2021-09-25 11:52:32.558818 : Epoch  7, Batch    225, Loss  0.890792, Average Loss  0.869129, Time  0.445492
2021-09-25 11:52:38.588370 : Epoch  7, Batch    226, Loss  0.853607, Average Loss  0.869038, Time  0.450899
2021-09-25 11:52:44.625652 : Epoch  7, Batch    227, Loss  0.868428, Average Loss  0.869082, Time  0.452724
2021-09-25 11:52:50.619887 : Epoch  7, Batch    228, Loss  0.867216, Average Loss  0.869106, Time  0.446828
2021-09-25 11:52:56.652435 : Epoch  7, Batch    229, Loss  0.871776, Average Loss  0.869203, Time  0.446788
2021-09-25 11:53:02.665868 : Epoch  7, Batch    230, Loss  0.877069, Average Loss  0.869281, Time  0.447222
2021-09-25 11:53:08.649300 : Epoch  7, Batch    231, Loss  0.869599, Average Loss  0.869263, Time  0.445175
2021-09-25 11:53:14.659354 : Epoch  7, Batch    232, Loss  0.867035, Average Loss  0.869233, Time  0.444042
2021-09-25 11:53:20.217851 : CheckPoint: Validation Loss  0.00015253, Best Loss  0.00014804
2021-09-25 11:53:26.269419 : Epoch  7, Batch    533, Loss  0.872456, Average Loss  0.869182, Time  0.446349
2021-09-25 11:53:32.351745 : Epoch  7, Batch    534, Loss  0.872590, Average Loss  0.869159, Time  0.448653
2021-09-25 11:53:38.440054 : Epoch  7, Batch    535, Loss  0.867060, Average Loss  0.869117, Time  0.445855
2021-09-25 11:53:44.514877 : Epoch  7, Batch    536, Loss  0.867419, Average Loss  0.869108, Time  0.445792
2021-09-25 11:53:50.591406 : Epoch  7, Batch    537, Loss  0.866264, Average Loss  0.869089, Time  0.449642
2021-09-25 11:53:56.675504 : Epoch  7, Batch    538, Loss  0.881222, Average Loss  0.869170, Time  0.448985
2021-09-25 11:54:02.758185 : Epoch  7, Batch    539, Loss  0.871237, Average Loss  0.869188, Time  0.457231
2021-09-25 11:54:08.842817 : Epoch  7, Batch    540, Loss  0.863997, Average Loss  0.869197, Time  0.444977
2021-09-25 11:54:14.936189 : Epoch  7, Batch    541, Loss  0.865079, Average Loss  0.869201, Time  0.446438
2021-09-25 11:54:21.003715 : Epoch  7, Batch    542, Loss  0.870793, Average Loss  0.869280, Time  0.444986
2021-09-25 11:54:27.093365 : Epoch  7, Batch    543, Loss  0.882241, Average Loss  0.869282, Time  0.446151
2021-09-25 11:54:33.176867 : Epoch  7, Batch    544, Loss  0.876793, Average Loss  0.869272, Time  0.446737
2021-09-25 11:54:39.252298 : Epoch  7, Batch    545, Loss  0.863990, Average Loss  0.869243, Time  0.447587
2021-09-25 11:54:45.355826 : Epoch  7, Batch    546, Loss  0.868036, Average Loss  0.869291, Time  0.460586
2021-09-25 11:54:51.423085 : Epoch  7, Batch    547, Loss  0.842794, Average Loss  0.869224, Time  0.445472
2021-09-25 11:54:57.499862 : Epoch  7, Batch    548, Loss  0.872429, Average Loss  0.869313, Time  0.445018
2021-09-25 11:55:03.586607 : Epoch  7, Batch    549, Loss  0.873250, Average Loss  0.869355, Time  0.446616
2021-09-25 11:55:09.664302 : Epoch  7, Batch    550, Loss  0.875000, Average Loss  0.869313, Time  0.445055
2021-09-25 11:55:15.736841 : Epoch  7, Batch    551, Loss  0.882567, Average Loss  0.869426, Time  0.447409
2021-09-25 11:55:21.826353 : Epoch  7, Batch    552, Loss  0.873985, Average Loss  0.869510, Time  0.445171
2021-09-25 11:55:27.917195 : Epoch  7, Batch    553, Loss  0.854090, Average Loss  0.869452, Time  0.446984
2021-09-25 11:55:34.022400 : Epoch  7, Batch    554, Loss  0.877645, Average Loss  0.869445, Time  0.461532
2021-09-25 11:55:40.122028 : Epoch  7, Batch    555, Loss  0.857804, Average Loss  0.869400, Time  0.449743
2021-09-25 11:55:46.212027 : Epoch  7, Batch    556, Loss  0.871906, Average Loss  0.869481, Time  0.444594
2021-09-25 11:55:52.282686 : Epoch  7, Batch    557, Loss  0.874700, Average Loss  0.869465, Time  0.449777
2021-09-25 11:55:58.344058 : Epoch  7, Batch    558, Loss  0.869610, Average Loss  0.869381, Time  0.447253
2021-09-25 11:56:04.409646 : Epoch  7, Batch    559, Loss  0.862196, Average Loss  0.869293, Time  0.447865
2021-09-25 11:56:10.489131 : Epoch  7, Batch    560, Loss  0.882998, Average Loss  0.869358, Time  0.448753
2021-09-25 11:56:16.601612 : Epoch  7, Batch    561, Loss  0.870005, Average Loss  0.869399, Time  0.458817
2021-09-25 11:56:22.669482 : Epoch  7, Batch    562, Loss  0.857802, Average Loss  0.869367, Time  0.445076
2021-09-25 11:56:28.748844 : Epoch  7, Batch    563, Loss  0.875168, Average Loss  0.869401, Time  0.445377
2021-09-25 11:56:34.833909 : Epoch  7, Batch    564, Loss  0.865022, Average Loss  0.869367, Time  0.445460
2021-09-25 11:56:40.924260 : Epoch  7, Batch    565, Loss  0.863347, Average Loss  0.869376, Time  0.445638
2021-09-25 11:56:47.006687 : Epoch  7, Batch    566, Loss  0.861951, Average Loss  0.869385, Time  0.445165
2021-09-25 11:56:53.076263 : Epoch  7, Batch    567, Loss  0.876877, Average Loss  0.869470, Time  0.448290
2021-09-25 11:56:59.163889 : Epoch  7, Batch    568, Loss  0.866639, Average Loss  0.869476, Time  0.447733
2021-09-25 11:57:05.256250 : Epoch  7, Batch    569, Loss  0.877790, Average Loss  0.869472, Time  0.457869
2021-09-25 11:57:11.319844 : Epoch  7, Batch    570, Loss  0.862608, Average Loss  0.869492, Time  0.445626
2021-09-25 11:57:17.383357 : Epoch  7, Batch    571, Loss  0.862421, Average Loss  0.869493, Time  0.446687
2021-09-25 11:57:23.443406 : Epoch  7, Batch    572, Loss  0.865374, Average Loss  0.869468, Time  0.446004
2021-09-25 11:57:29.518518 : Epoch  7, Batch    573, Loss  0.869611, Average Loss  0.869521, Time  0.446678
2021-09-25 11:57:35.591713 : Epoch  7, Batch    574, Loss  0.876417, Average Loss  0.869603, Time  0.447664
2021-09-25 11:57:41.666920 : Epoch  7, Batch    575, Loss  0.884413, Average Loss  0.869639, Time  0.445944
2021-09-25 11:57:47.765062 : Epoch  7, Batch    576, Loss  0.857815, Average Loss  0.869579, Time  0.456969
2021-09-25 11:57:53.850787 : Epoch  7, Batch    577, Loss  0.888774, Average Loss  0.869672, Time  0.448088
2021-09-25 11:57:57.532832 : CheckPoint: Validation Loss  0.00015166, Best Loss  0.00014758
2021-09-25 11:57:59.942325 : Epoch  7, Batch    578, Loss  0.883024, Average Loss  0.869794, Time  0.446661
2021-09-25 11:58:03.535452 : Epoch  7, Batch    233, Loss  0.862945, Average Loss  0.869249, Time  0.459837
2021-09-25 11:58:06.016876 : Epoch  7, Batch    579, Loss  0.868919, Average Loss  0.869786, Time  0.447206
2021-09-25 11:58:09.527651 : Epoch  7, Batch    234, Loss  0.873918, Average Loss  0.869334, Time  0.445424
2021-09-25 11:58:12.136505 : Epoch  7, Batch    580, Loss  0.863454, Average Loss  0.869759, Time  0.450320
2021-09-25 11:58:15.558639 : Epoch  7, Batch    235, Loss  0.858615, Average Loss  0.869338, Time  0.444113
2021-09-25 11:58:18.204164 : Epoch  7, Batch    581, Loss  0.845503, Average Loss  0.869587, Time  0.445333
2021-09-25 11:58:21.539759 : Epoch  7, Batch    236, Loss  0.864974, Average Loss  0.869359, Time  0.445143
2021-09-25 11:58:24.284291 : Epoch  7, Batch    582, Loss  0.869746, Average Loss  0.869611, Time  0.445488
2021-09-25 11:58:27.534331 : Epoch  7, Batch    237, Loss  0.881986, Average Loss  0.869424, Time  0.445390
2021-09-25 11:58:30.358821 : Epoch  7, Batch    583, Loss  0.853280, Average Loss  0.869566, Time  0.447415
2021-09-25 11:58:33.517626 : Epoch  7, Batch    238, Loss  0.885202, Average Loss  0.869491, Time  0.445360
2021-09-25 11:58:36.460167 : Epoch  7, Batch    584, Loss  0.858290, Average Loss  0.869487, Time  0.461980
2021-09-25 11:58:39.513383 : Epoch  7, Batch    239, Loss  0.891279, Average Loss  0.869638, Time  0.444004
2021-09-25 11:58:42.550837 : Epoch  7, Batch    585, Loss  0.863517, Average Loss  0.869372, Time  0.451326
2021-09-25 11:58:45.483316 : Epoch  7, Batch    240, Loss  0.868072, Average Loss  0.869679, Time  0.444210
2021-09-25 11:58:48.628243 : Epoch  7, Batch    586, Loss  0.889427, Average Loss  0.869404, Time  0.446621
2021-09-25 11:58:51.489750 : Epoch  7, Batch    241, Loss  0.868362, Average Loss  0.869581, Time  0.461028
2021-09-25 11:58:54.717509 : Epoch  7, Batch    587, Loss  0.861869, Average Loss  0.869336, Time  0.448114
2021-09-25 11:58:57.479080 : Epoch  7, Batch    242, Loss  0.866347, Average Loss  0.869703, Time  0.458903
2021-09-25 11:59:00.785348 : Epoch  7, Batch    588, Loss  0.860896, Average Loss  0.869321, Time  0.446342
2021-09-25 11:59:03.442820 : Epoch  7, Batch    243, Loss  0.876319, Average Loss  0.869723, Time  0.443805
2021-09-25 11:59:06.828138 : Epoch  7, Batch    589, Loss  0.870356, Average Loss  0.869263, Time  0.446751
2021-09-25 11:59:09.429515 : Epoch  7, Batch    244, Loss  0.867333, Average Loss  0.869732, Time  0.445663
2021-09-25 11:59:12.872709 : Epoch  7, Batch    590, Loss  0.851552, Average Loss  0.869166, Time  0.445080
2021-09-25 11:59:15.414209 : Epoch  7, Batch    245, Loss  0.854907, Average Loss  0.869711, Time  0.443836
2021-09-25 11:59:18.959869 : Epoch  7, Batch    591, Loss  0.863478, Average Loss  0.869116, Time  0.457637
2021-09-25 11:59:21.417977 : Epoch  7, Batch    246, Loss  0.859434, Average Loss  0.869635, Time  0.444954
2021-09-25 11:59:25.057391 : Epoch  7, Batch    592, Loss  0.876490, Average Loss  0.869135, Time  0.444952
2021-09-25 11:59:27.414155 : Epoch  7, Batch    247, Loss  0.868575, Average Loss  0.869725, Time  0.443948
2021-09-25 11:59:31.153810 : Epoch  7, Batch    593, Loss  0.853394, Average Loss  0.869078, Time  0.447227
2021-09-25 11:59:33.407191 : Epoch  7, Batch    248, Loss  0.856782, Average Loss  0.869662, Time  0.445018
2021-09-25 11:59:37.224602 : Epoch  7, Batch    594, Loss  0.861431, Average Loss  0.869073, Time  0.445073
2021-09-25 11:59:39.397606 : Epoch  7, Batch    249, Loss  0.867301, Average Loss  0.869629, Time  0.452774
2021-09-25 11:59:43.289451 : Epoch  7, Batch    595, Loss  0.887001, Average Loss  0.869154, Time  0.445490
2021-09-25 11:59:45.389042 : Epoch  7, Batch    250, Loss  0.879163, Average Loss  0.869698, Time  0.447610
2021-09-25 11:59:49.388420 : Epoch  7, Batch    596, Loss  0.861305, Average Loss  0.869092, Time  0.444617
2021-09-25 11:59:51.374186 : Epoch  7, Batch    251, Loss  0.863711, Average Loss  0.869630, Time  0.446781
2021-09-25 11:59:55.433819 : Epoch  7, Batch    597, Loss  0.880383, Average Loss  0.869128, Time  0.444786
2021-09-25 11:59:57.344874 : Epoch  7, Batch    252, Loss  0.865206, Average Loss  0.869613, Time  0.444289
2021-09-25 12:00:01.495263 : Epoch  7, Batch    598, Loss  0.867594, Average Loss  0.869088, Time  0.445210
2021-09-25 12:00:03.322307 : Epoch  7, Batch    253, Loss  0.872643, Average Loss  0.869596, Time  0.444616
2021-09-25 12:00:07.579861 : Epoch  7, Batch    599, Loss  0.886148, Average Loss  0.869182, Time  0.457158
2021-09-25 12:00:09.349956 : Epoch  7, Batch    254, Loss  0.866965, Average Loss  0.869597, Time  0.447543
2021-09-25 12:00:13.666839 : Epoch  7, Batch    600, Loss  0.855111, Average Loss  0.869096, Time  0.454174
2021-09-25 12:00:15.334888 : Epoch  7, Batch    255, Loss  0.872554, Average Loss  0.869560, Time  0.445149
2021-09-25 12:00:19.759864 : Epoch  7, Batch    601, Loss  0.878550, Average Loss  0.869125, Time  0.444715
2021-09-25 12:00:21.333983 : Epoch  7, Batch    256, Loss  0.868990, Average Loss  0.869510, Time  0.444985
2021-09-25 12:00:25.825644 : Epoch  7, Batch    602, Loss  0.868860, Average Loss  0.869159, Time  0.445807
2021-09-25 12:00:27.354792 : Epoch  7, Batch    257, Loss  0.885345, Average Loss  0.869573, Time  0.453572
2021-09-25 12:00:31.911919 : Epoch  7, Batch    603, Loss  0.859464, Average Loss  0.869139, Time  0.446923
2021-09-25 12:00:33.358729 : Epoch  7, Batch    258, Loss  0.890209, Average Loss  0.869717, Time  0.444413
2021-09-25 12:00:38.007260 : Epoch  7, Batch    604, Loss  0.857213, Average Loss  0.869011, Time  0.445804
2021-09-25 12:00:39.354752 : Epoch  7, Batch    259, Loss  0.886233, Average Loss  0.869809, Time  0.448993
2021-09-25 12:00:44.077576 : Epoch  7, Batch    605, Loss  0.858680, Average Loss  0.868922, Time  0.446239
2021-09-25 12:00:45.349931 : Epoch  7, Batch    260, Loss  0.871707, Average Loss  0.869834, Time  0.445622
2021-09-25 12:00:50.155456 : Epoch  7, Batch    606, Loss  0.872160, Average Loss  0.868921, Time  0.461367
2021-09-25 12:00:51.333748 : Epoch  7, Batch    261, Loss  0.866823, Average Loss  0.869766, Time  0.445149
2021-09-25 12:00:56.236197 : Epoch  7, Batch    607, Loss  0.870796, Average Loss  0.868965, Time  0.446313
2021-09-25 12:00:57.314689 : Epoch  7, Batch    262, Loss  0.849428, Average Loss  0.869687, Time  0.444586
2021-09-25 12:01:02.299481 : Epoch  7, Batch    608, Loss  0.864458, Average Loss  0.868931, Time  0.449054
2021-09-25 12:01:03.317804 : Epoch  7, Batch    263, Loss  0.864824, Average Loss  0.869681, Time  0.446386
2021-09-25 12:01:08.388013 : Epoch  7, Batch    609, Loss  0.858705, Average Loss  0.868907, Time  0.445087
2021-09-25 12:01:09.313041 : Epoch  7, Batch    264, Loss  0.867081, Average Loss  0.869684, Time  0.444141
2021-09-25 12:01:14.459123 : Epoch  7, Batch    610, Loss  0.859947, Average Loss  0.868876, Time  0.445813
2021-09-25 12:01:15.317130 : Epoch  7, Batch    265, Loss  0.876489, Average Loss  0.869686, Time  0.453394
2021-09-25 12:01:20.527229 : Epoch  7, Batch    611, Loss  0.853620, Average Loss  0.868818, Time  0.445306
2021-09-25 12:01:21.292848 : Epoch  7, Batch    266, Loss  0.852944, Average Loss  0.869640, Time  0.445131
2021-09-25 12:01:26.619399 : Epoch  7, Batch    612, Loss  0.855097, Average Loss  0.868813, Time  0.445094
2021-09-25 12:01:27.290410 : Epoch  7, Batch    267, Loss  0.864899, Average Loss  0.869596, Time  0.444108
2021-09-25 12:01:32.684691 : Epoch  7, Batch    613, Loss  0.875180, Average Loss  0.868895, Time  0.445020
2021-09-25 12:01:33.282846 : Epoch  7, Batch    268, Loss  0.873853, Average Loss  0.869617, Time  0.444847
2021-09-25 12:01:38.778450 : Epoch  7, Batch    614, Loss  0.877081, Average Loss  0.868898, Time  0.463073
2021-09-25 12:01:39.253906 : Epoch  7, Batch    269, Loss  0.874557, Average Loss  0.869629, Time  0.444261
2021-09-25 12:01:44.857006 : Epoch  7, Batch    615, Loss  0.876177, Average Loss  0.868972, Time  0.446091
2021-09-25 12:01:45.237340 : Epoch  7, Batch    270, Loss  0.858478, Average Loss  0.869490, Time  0.447366
2021-09-25 12:01:50.937976 : Epoch  7, Batch    616, Loss  0.868399, Average Loss  0.869022, Time  0.447037
2021-09-25 12:01:51.234777 : Epoch  7, Batch    271, Loss  0.862100, Average Loss  0.869454, Time  0.446494
2021-09-25 12:01:57.004328 : Epoch  7, Batch    617, Loss  0.860948, Average Loss  0.868995, Time  0.444981
2021-09-25 12:01:57.224337 : Epoch  7, Batch    272, Loss  0.884645, Average Loss  0.869486, Time  0.446800
2021-09-25 12:02:03.093190 : Epoch  7, Batch    618, Loss  0.862652, Average Loss  0.868908, Time  0.445592
2021-09-25 12:02:03.245337 : Epoch  7, Batch    273, Loss  0.888522, Average Loss  0.869599, Time  0.461258
2021-09-25 12:02:09.150286 : Epoch  7, Batch    619, Loss  0.864211, Average Loss  0.868882, Time  0.446399
2021-09-25 12:02:09.253195 : Epoch  7, Batch    274, Loss  0.874670, Average Loss  0.869695, Time  0.444787
2021-09-25 12:02:15.232389 : Epoch  7, Batch    620, Loss  0.867299, Average Loss  0.868920, Time  0.446011
2021-09-25 12:02:15.263547 : Epoch  7, Batch    275, Loss  0.876905, Average Loss  0.869711, Time  0.444599
2021-09-25 12:02:21.263532 : Epoch  7, Batch    276, Loss  0.884123, Average Loss  0.869748, Time  0.444221
2021-09-25 12:02:21.329411 : Epoch  7, Batch    621, Loss  0.880956, Average Loss  0.868972, Time  0.455089
2021-09-25 12:02:27.293572 : Epoch  7, Batch    277, Loss  0.871937, Average Loss  0.869830, Time  0.444316
2021-09-25 12:02:27.388514 : Epoch  7, Batch    622, Loss  0.876869, Average Loss  0.869053, Time  0.448125
2021-09-25 12:02:33.283938 : Epoch  7, Batch    278, Loss  0.872327, Average Loss  0.869834, Time  0.444830
2021-09-25 12:02:33.440395 : Epoch  7, Batch    623, Loss  0.864808, Average Loss  0.869047, Time  0.445393
2021-09-25 12:02:39.260195 : Epoch  7, Batch    279, Loss  0.865585, Average Loss  0.869792, Time  0.444633
2021-09-25 12:02:39.488800 : Epoch  7, Batch    624, Loss  0.877239, Average Loss  0.869097, Time  0.445380
2021-09-25 12:02:45.245994 : Epoch  7, Batch    280, Loss  0.867918, Average Loss  0.869833, Time  0.444217
2021-09-25 12:02:45.543745 : Epoch  7, Batch    625, Loss  0.880822, Average Loss  0.869154, Time  0.446123
2021-09-25 12:02:51.251908 : Epoch  7, Batch    281, Loss  0.864327, Average Loss  0.869766, Time  0.454932
2021-09-25 12:02:51.621936 : Epoch  7, Batch    626, Loss  0.873400, Average Loss  0.869122, Time  0.444964
2021-09-25 12:02:57.246394 : Epoch  7, Batch    282, Loss  0.872121, Average Loss  0.869718, Time  0.448460
2021-09-25 12:02:57.707601 : Epoch  7, Batch    627, Loss  0.871822, Average Loss  0.869164, Time  0.446783
2021-09-25 12:03:03.252198 : Epoch  7, Batch    283, Loss  0.868484, Average Loss  0.869671, Time  0.446911
2021-09-25 12:03:03.765876 : Epoch  7, Batch    628, Loss  0.884433, Average Loss  0.869197, Time  0.446193
2021-09-25 12:03:09.245259 : Epoch  7, Batch    284, Loss  0.857971, Average Loss  0.869600, Time  0.447053
2021-09-25 12:03:09.864812 : Epoch  7, Batch    629, Loss  0.867596, Average Loss  0.869143, Time  0.460975
2021-09-25 12:03:15.236209 : Epoch  7, Batch    285, Loss  0.865027, Average Loss  0.869490, Time  0.445503
2021-09-25 12:03:15.934233 : Epoch  7, Batch    630, Loss  0.878390, Average Loss  0.869133, Time  0.445626
2021-09-25 12:03:21.226339 : Epoch  7, Batch    286, Loss  0.855101, Average Loss  0.869479, Time  0.446625
2021-09-25 12:03:21.994791 : Epoch  7, Batch    631, Loss  0.876313, Average Loss  0.869056, Time  0.444702
2021-09-25 12:03:27.215031 : Epoch  7, Batch    287, Loss  0.868487, Average Loss  0.869425, Time  0.444314
2021-09-25 12:03:28.071275 : Epoch  7, Batch    632, Loss  0.877548, Average Loss  0.869066, Time  0.445733
2021-09-25 12:03:33.236538 : Epoch  7, Batch    288, Loss  0.872901, Average Loss  0.869349, Time  0.445419
2021-09-25 12:03:39.247380 : Epoch  7, Batch    289, Loss  0.853699, Average Loss  0.869295, Time  0.462075
2021-09-25 12:03:45.264184 : Epoch  7, Batch    290, Loss  0.861536, Average Loss  0.869249, Time  0.446866
2021-09-25 12:03:51.275685 : Epoch  7, Batch    291, Loss  0.882418, Average Loss  0.869331, Time  0.445975
2021-09-25 12:03:57.274732 : Epoch  7, Batch    292, Loss  0.872362, Average Loss  0.869321, Time  0.444061
2021-09-25 12:04:03.286929 : Epoch  7, Batch    293, Loss  0.870739, Average Loss  0.869341, Time  0.444287
2021-09-25 12:04:09.275761 : Epoch  7, Batch    294, Loss  0.849775, Average Loss  0.869187, Time  0.444250
2021-09-25 12:04:15.278864 : Epoch  7, Batch    295, Loss  0.868326, Average Loss  0.869262, Time  0.444114
2021-09-25 12:04:21.251740 : Epoch  7, Batch    296, Loss  0.875038, Average Loss  0.869307, Time  0.444035
2021-09-25 12:04:27.245495 : Epoch  7, Batch    297, Loss  0.871490, Average Loss  0.869338, Time  0.459982
2021-09-25 12:04:33.260645 : Epoch  7, Batch    298, Loss  0.874317, Average Loss  0.869306, Time  0.443843
2021-09-25 12:04:39.244492 : Epoch  7, Batch    299, Loss  0.862611, Average Loss  0.869219, Time  0.448221
2021-09-25 12:04:45.234230 : Epoch  7, Batch    300, Loss  0.873220, Average Loss  0.869202, Time  0.447384
2021-09-25 12:04:51.223401 : Epoch  7, Batch    301, Loss  0.859505, Average Loss  0.869131, Time  0.445908
2021-09-25 12:04:57.187728 : Epoch  7, Batch    302, Loss  0.873022, Average Loss  0.869058, Time  0.443946
2021-09-25 12:05:03.188880 : Epoch  7, Batch    303, Loss  0.870944, Average Loss  0.869060, Time  0.445166
2021-09-25 12:05:09.206272 : Epoch  7, Batch    304, Loss  0.869658, Average Loss  0.869187, Time  0.444470
2021-09-25 12:05:15.223256 : Epoch  7, Batch    305, Loss  0.866813, Average Loss  0.869168, Time  0.458512
2021-09-25 12:05:21.190588 : Epoch  7, Batch    306, Loss  0.870099, Average Loss  0.869216, Time  0.443966
2021-09-25 12:05:27.186843 : Epoch  7, Batch    307, Loss  0.873500, Average Loss  0.869262, Time  0.443912
2021-09-25 12:05:33.168144 : Epoch  7, Batch    308, Loss  0.874192, Average Loss  0.869273, Time  0.444010
2021-09-25 12:05:39.167305 : Epoch  7, Batch    309, Loss  0.854695, Average Loss  0.869211, Time  0.443924
2021-09-25 12:05:45.155683 : Epoch  7, Batch    310, Loss  0.851598, Average Loss  0.869089, Time  0.446185
2021-09-25 12:05:51.151864 : Epoch  7, Batch    311, Loss  0.875248, Average Loss  0.869131, Time  0.444752
2021-09-25 12:05:57.143888 : Epoch  7, Batch    312, Loss  0.870091, Average Loss  0.869134, Time  0.444398
2021-09-25 12:06:03.176205 : Epoch  7, Batch    313, Loss  0.879121, Average Loss  0.869211, Time  0.461547
2021-09-25 12:06:09.163777 : Epoch  7, Batch    314, Loss  0.873384, Average Loss  0.869231, Time  0.446679
2021-09-25 12:06:15.150447 : Epoch  7, Batch    315, Loss  0.882436, Average Loss  0.869253, Time  0.445885
2021-09-25 12:06:21.148625 : Epoch  7, Batch    316, Loss  0.875281, Average Loss  0.869316, Time  0.450229
2021-09-25 12:06:27.136523 : Epoch  7, Batch    317, Loss  0.867947, Average Loss  0.869345, Time  0.443944
2021-09-25 12:06:33.121763 : Epoch  7, Batch    318, Loss  0.850368, Average Loss  0.869288, Time  0.446176
2021-09-25 12:06:39.129308 : Epoch  7, Batch    319, Loss  0.868401, Average Loss  0.869382, Time  0.447261
2021-09-25 12:06:45.137353 : Epoch  7, Batch    320, Loss  0.876831, Average Loss  0.869442, Time  0.465649
2021-09-25 12:06:51.152520 : Epoch  7, Batch    321, Loss  0.871277, Average Loss  0.869421, Time  0.444264
2021-09-25 12:06:57.169041 : Epoch  7, Batch    322, Loss  0.879909, Average Loss  0.869468, Time  0.445487
2021-09-25 12:07:03.182968 : Epoch  7, Batch    323, Loss  0.877154, Average Loss  0.869513, Time  0.444133
2021-09-25 12:07:09.163905 : Epoch  7, Batch    324, Loss  0.876461, Average Loss  0.869612, Time  0.444073
2021-09-25 12:07:15.138301 : Epoch  7, Batch    325, Loss  0.869293, Average Loss  0.869620, Time  0.445256
2021-09-25 12:07:21.137794 : Epoch  7, Batch    326, Loss  0.852457, Average Loss  0.869527, Time  0.444830
2021-09-25 12:07:27.150217 : Epoch  7, Batch    327, Loss  0.860436, Average Loss  0.869409, Time  0.444108
2021-09-25 12:07:33.167147 : Epoch  7, Batch    328, Loss  0.862096, Average Loss  0.869442, Time  0.456780
2021-09-25 12:07:39.149982 : Epoch  7, Batch    329, Loss  0.874815, Average Loss  0.869493, Time  0.444818
2021-09-25 12:07:45.151535 : Epoch  7, Batch    330, Loss  0.873733, Average Loss  0.869626, Time  0.445664
2021-09-25 12:07:51.151492 : Epoch  7, Batch    331, Loss  0.861972, Average Loss  0.869597, Time  0.443899
2021-09-25 12:07:57.139262 : Epoch  7, Batch    332, Loss  0.868839, Average Loss  0.869648, Time  0.444101
2021-09-25 12:08:14.278808 : CheckPoint: Validation Loss  0.00015082, Best Loss  0.00014804
2021-09-25 12:08:20.328545 : Epoch  7, Batch    633, Loss  0.855126, Average Loss  0.868962, Time  0.445309
2021-09-25 12:08:26.392747 : Epoch  7, Batch    634, Loss  0.879959, Average Loss  0.869038, Time  0.446414
2021-09-25 12:08:32.438528 : Epoch  7, Batch    635, Loss  0.878123, Average Loss  0.869058, Time  0.459028
2021-09-25 12:08:38.506766 : Epoch  7, Batch    636, Loss  0.864862, Average Loss  0.869077, Time  0.447718
2021-09-25 12:08:44.536039 : Epoch  7, Batch    637, Loss  0.872912, Average Loss  0.869126, Time  0.446492
2021-09-25 12:08:50.573934 : Epoch  7, Batch    638, Loss  0.869896, Average Loss  0.869138, Time  0.445202
2021-09-25 12:08:56.614760 : Epoch  7, Batch    639, Loss  0.866879, Average Loss  0.869107, Time  0.446948
2021-09-25 12:09:02.660856 : Epoch  7, Batch    640, Loss  0.867961, Average Loss  0.869089, Time  0.445134
2021-09-25 12:09:08.691333 : Epoch  7, Batch    641, Loss  0.873247, Average Loss  0.869137, Time  0.445330
2021-09-25 12:09:14.714828 : Epoch  7, Batch    642, Loss  0.856523, Average Loss  0.869039, Time  0.445880
2021-09-25 12:09:20.767256 : Epoch  7, Batch    643, Loss  0.874206, Average Loss  0.869089, Time  0.457467
2021-09-25 12:09:26.807427 : Epoch  7, Batch    644, Loss  0.869902, Average Loss  0.869162, Time  0.445713
2021-09-25 12:09:32.847371 : Epoch  7, Batch    645, Loss  0.849949, Average Loss  0.869054, Time  0.445338
2021-09-25 12:09:38.884090 : Epoch  7, Batch    646, Loss  0.882382, Average Loss  0.869131, Time  0.445402
2021-09-25 12:09:44.926320 : Epoch  7, Batch    647, Loss  0.864484, Average Loss  0.868992, Time  0.445243
2021-09-25 12:09:50.970971 : Epoch  7, Batch    648, Loss  0.866363, Average Loss  0.868918, Time  0.445167
2021-09-25 12:09:57.017542 : Epoch  7, Batch    649, Loss  0.864654, Average Loss  0.868829, Time  0.446857
2021-09-25 12:10:03.057030 : Epoch  7, Batch    650, Loss  0.859144, Average Loss  0.868848, Time  0.458387
2021-09-25 12:10:09.099465 : Epoch  7, Batch    651, Loss  0.859596, Average Loss  0.868757, Time  0.447651
2021-09-25 12:10:15.129979 : Epoch  7, Batch    652, Loss  0.859165, Average Loss  0.868791, Time  0.446599
2021-09-25 12:10:21.155724 : Epoch  7, Batch    653, Loss  0.870929, Average Loss  0.868761, Time  0.445376
2021-09-25 12:10:27.200518 : Epoch  7, Batch    654, Loss  0.877770, Average Loss  0.868765, Time  0.445143
2021-09-25 12:10:33.242777 : Epoch  7, Batch    655, Loss  0.877052, Average Loss  0.868829, Time  0.447148
2021-09-25 12:10:39.290409 : Epoch  7, Batch    656, Loss  0.889407, Average Loss  0.869009, Time  0.447007
2021-09-25 12:10:45.341795 : Epoch  7, Batch    657, Loss  0.879755, Average Loss  0.869032, Time  0.450919
2021-09-25 12:10:51.394470 : Epoch  7, Batch    658, Loss  0.854096, Average Loss  0.868971, Time  0.456061
2021-09-25 12:10:57.452465 : Epoch  7, Batch    659, Loss  0.858767, Average Loss  0.868994, Time  0.444567
2021-09-25 12:11:03.490656 : Epoch  7, Batch    660, Loss  0.873162, Average Loss  0.869055, Time  0.445640
2021-09-25 12:11:09.542661 : Epoch  7, Batch    661, Loss  0.866042, Average Loss  0.868895, Time  0.451828
2021-09-25 12:11:15.581028 : Epoch  7, Batch    662, Loss  0.869024, Average Loss  0.868919, Time  0.445249
2021-09-25 12:11:21.629776 : Epoch  7, Batch    663, Loss  0.869510, Average Loss  0.868964, Time  0.445814
2021-09-25 12:11:27.644824 : Epoch  7, Batch    664, Loss  0.873991, Average Loss  0.868988, Time  0.447061
2021-09-25 12:11:33.697878 : Epoch  7, Batch    665, Loss  0.873579, Average Loss  0.868903, Time  0.456423
2021-09-25 12:11:39.745719 : Epoch  7, Batch    666, Loss  0.850711, Average Loss  0.868844, Time  0.446338
2021-09-25 12:11:45.795271 : Epoch  7, Batch    667, Loss  0.871601, Average Loss  0.868873, Time  0.445379
2021-09-25 12:11:51.833835 : Epoch  7, Batch    668, Loss  0.866581, Average Loss  0.868866, Time  0.448328
2021-09-25 12:11:57.881802 : Epoch  7, Batch    669, Loss  0.868029, Average Loss  0.868745, Time  0.444652
2021-09-25 12:12:03.924901 : Epoch  7, Batch    670, Loss  0.867689, Average Loss  0.868686, Time  0.446223
2021-09-25 12:12:09.959687 : Epoch  7, Batch    671, Loss  0.870150, Average Loss  0.868709, Time  0.447110
2021-09-25 12:12:16.009638 : Epoch  7, Batch    672, Loss  0.874553, Average Loss  0.868712, Time  0.446400
2021-09-25 12:12:22.071525 : Epoch  7, Batch    673, Loss  0.874412, Average Loss  0.868756, Time  0.466809
2021-09-25 12:12:28.108164 : Epoch  7, Batch    674, Loss  0.865519, Average Loss  0.868747, Time  0.450075
2021-09-25 12:12:34.155798 : Epoch  7, Batch    675, Loss  0.859611, Average Loss  0.868708, Time  0.450235
2021-09-25 12:12:39.806521 : CheckPoint: Validation Loss  0.00015156, Best Loss  0.00014758
2021-09-25 12:12:40.210027 : Epoch  7, Batch    676, Loss  0.877043, Average Loss  0.868711, Time  0.445933
2021-09-25 12:12:45.780664 : Epoch  7, Batch    333, Loss  0.880282, Average Loss  0.869758, Time  0.444053
2021-09-25 12:12:46.247032 : Epoch  7, Batch    677, Loss  0.871839, Average Loss  0.868680, Time  0.448751
2021-09-25 12:12:51.856244 : Epoch  7, Batch    334, Loss  0.879675, Average Loss  0.869811, Time  0.456377
2021-09-25 12:12:52.269401 : Epoch  7, Batch    678, Loss  0.868652, Average Loss  0.868580, Time  0.446320
2021-09-25 12:12:57.897285 : Epoch  7, Batch    335, Loss  0.857597, Average Loss  0.869783, Time  0.446504
2021-09-25 12:12:58.306765 : Epoch  7, Batch    679, Loss  0.852741, Average Loss  0.868484, Time  0.448268
2021-09-25 12:13:03.938657 : Epoch  7, Batch    336, Loss  0.878896, Average Loss  0.869822, Time  0.445134
2021-09-25 12:13:04.356862 : Epoch  7, Batch    680, Loss  0.872902, Average Loss  0.868532, Time  0.459315
2021-09-25 12:13:09.981114 : Epoch  7, Batch    337, Loss  0.862572, Average Loss  0.869720, Time  0.445324
2021-09-25 12:13:10.400540 : Epoch  7, Batch    681, Loss  0.864984, Average Loss  0.868495, Time  0.445430
2021-09-25 12:13:16.032880 : Epoch  7, Batch    338, Loss  0.858502, Average Loss  0.869646, Time  0.446027
2021-09-25 12:13:16.440946 : Epoch  7, Batch    682, Loss  0.858565, Average Loss  0.868478, Time  0.444732
2021-09-25 12:13:22.057731 : Epoch  7, Batch    339, Loss  0.886348, Average Loss  0.869833, Time  0.445653
2021-09-25 12:13:22.452214 : Epoch  7, Batch    683, Loss  0.875646, Average Loss  0.868507, Time  0.445952
2021-09-25 12:13:28.103856 : Epoch  7, Batch    340, Loss  0.870349, Average Loss  0.869828, Time  0.444510
2021-09-25 12:13:28.481699 : Epoch  7, Batch    684, Loss  0.877434, Average Loss  0.868562, Time  0.451424
2021-09-25 12:13:34.156570 : Epoch  7, Batch    341, Loss  0.877767, Average Loss  0.869819, Time  0.452855
2021-09-25 12:13:34.506398 : Epoch  7, Batch    685, Loss  0.881368, Average Loss  0.868640, Time  0.446862
2021-09-25 12:13:40.185124 : Epoch  7, Batch    342, Loss  0.864581, Average Loss  0.869847, Time  0.448223
2021-09-25 12:13:40.538276 : Epoch  7, Batch    686, Loss  0.876677, Average Loss  0.868658, Time  0.446127
2021-09-25 12:13:46.225731 : Epoch  7, Batch    343, Loss  0.854587, Average Loss  0.869803, Time  0.444156
2021-09-25 12:13:46.570013 : Epoch  7, Batch    687, Loss  0.855943, Average Loss  0.868676, Time  0.444810
2021-09-25 12:13:52.274947 : Epoch  7, Batch    344, Loss  0.873577, Average Loss  0.869861, Time  0.446051
2021-09-25 12:13:52.620158 : Epoch  7, Batch    688, Loss  0.864911, Average Loss  0.868677, Time  0.460496
2021-09-25 12:13:58.312434 : Epoch  7, Batch    345, Loss  0.865054, Average Loss  0.869868, Time  0.444959
2021-09-25 12:13:58.651920 : Epoch  7, Batch    689, Loss  0.851484, Average Loss  0.868624, Time  0.445270
2021-09-25 12:14:04.366360 : Epoch  7, Batch    346, Loss  0.879409, Average Loss  0.869876, Time  0.444584
2021-09-25 12:14:04.673399 : Epoch  7, Batch    690, Loss  0.859838, Average Loss  0.868576, Time  0.445550
2021-09-25 12:14:10.404593 : Epoch  7, Batch    347, Loss  0.859185, Average Loss  0.869762, Time  0.446412
2021-09-25 12:14:10.714693 : Epoch  7, Batch    691, Loss  0.873064, Average Loss  0.868578, Time  0.444923
2021-09-25 12:14:16.455182 : Epoch  7, Batch    348, Loss  0.868011, Average Loss  0.869732, Time  0.444399
2021-09-25 12:14:16.764335 : Epoch  7, Batch    692, Loss  0.869905, Average Loss  0.868548, Time  0.445336
2021-09-25 12:14:22.537536 : Epoch  7, Batch    349, Loss  0.866391, Average Loss  0.869760, Time  0.458511
2021-09-25 12:14:22.794305 : Epoch  7, Batch    693, Loss  0.863127, Average Loss  0.868546, Time  0.446942
2021-09-25 12:14:28.579552 : Epoch  7, Batch    350, Loss  0.867830, Average Loss  0.869725, Time  0.443863
2021-09-25 12:14:28.816792 : Epoch  7, Batch    694, Loss  0.866036, Average Loss  0.868476, Time  0.446491
2021-09-25 12:14:34.619976 : Epoch  7, Batch    351, Loss  0.879471, Average Loss  0.869792, Time  0.445106
2021-09-25 12:14:34.845184 : Epoch  7, Batch    695, Loss  0.863519, Average Loss  0.868341, Time  0.455995
2021-09-25 12:14:40.691986 : Epoch  7, Batch    352, Loss  0.883951, Average Loss  0.869773, Time  0.444535
2021-09-25 12:14:40.885845 : Epoch  7, Batch    696, Loss  0.874374, Average Loss  0.868293, Time  0.444824
2021-09-25 12:14:46.732948 : Epoch  7, Batch    353, Loss  0.883007, Average Loss  0.869904, Time  0.445193
2021-09-25 12:14:46.905713 : Epoch  7, Batch    697, Loss  0.866677, Average Loss  0.868256, Time  0.445783
2021-09-25 12:14:52.787743 : Epoch  7, Batch    354, Loss  0.864532, Average Loss  0.869880, Time  0.445759
2021-09-25 12:14:52.934945 : Epoch  7, Batch    698, Loss  0.874365, Average Loss  0.868280, Time  0.445698
2021-09-25 12:14:58.818290 : Epoch  7, Batch    355, Loss  0.868458, Average Loss  0.869947, Time  0.447592
2021-09-25 12:14:58.966084 : Epoch  7, Batch    699, Loss  0.867975, Average Loss  0.868302, Time  0.454561
2021-09-25 12:15:04.889069 : Epoch  7, Batch    356, Loss  0.862274, Average Loss  0.869877, Time  0.457077
2021-09-25 12:15:04.995936 : Epoch  7, Batch    700, Loss  0.870798, Average Loss  0.868374, Time  0.445227
2021-09-25 12:15:10.946006 : Epoch  7, Batch    357, Loss  0.853610, Average Loss  0.869724, Time  0.444451
2021-09-25 12:15:11.029177 : Epoch  7, Batch    701, Loss  0.860711, Average Loss  0.868323, Time  0.446023
2021-09-25 12:15:17.012667 : Epoch  7, Batch    358, Loss  0.873349, Average Loss  0.869717, Time  0.447811
2021-09-25 12:15:17.071742 : Epoch  7, Batch    702, Loss  0.874211, Average Loss  0.868448, Time  0.445053
2021-09-25 12:15:23.068536 : Epoch  7, Batch    359, Loss  0.868207, Average Loss  0.869755, Time  0.446594
2021-09-25 12:15:23.124265 : Epoch  7, Batch    703, Loss  0.863354, Average Loss  0.868432, Time  0.458599
2021-09-25 12:15:29.135558 : Epoch  7, Batch    360, Loss  0.854910, Average Loss  0.869724, Time  0.444506
2021-09-25 12:15:29.159320 : Epoch  7, Batch    704, Loss  0.867081, Average Loss  0.868466, Time  0.447752
2021-09-25 12:15:35.189074 : Epoch  7, Batch    361, Loss  0.869463, Average Loss  0.869698, Time  0.444376
2021-09-25 12:15:35.220823 : Epoch  7, Batch    705, Loss  0.861063, Average Loss  0.868354, Time  0.447280
2021-09-25 12:15:41.235773 : Epoch  7, Batch    362, Loss  0.872794, Average Loss  0.869713, Time  0.446282
2021-09-25 12:15:41.264995 : Epoch  7, Batch    706, Loss  0.866339, Average Loss  0.868286, Time  0.448020
2021-09-25 12:15:47.277646 : Epoch  7, Batch    363, Loss  0.852621, Average Loss  0.869733, Time  0.444580
2021-09-25 12:15:47.301772 : Epoch  7, Batch    707, Loss  0.883183, Average Loss  0.868344, Time  0.444557
2021-09-25 12:15:53.361348 : Epoch  7, Batch    708, Loss  0.872591, Average Loss  0.868420, Time  0.445968
2021-09-25 12:15:53.387648 : Epoch  7, Batch    364, Loss  0.869805, Average Loss  0.869814, Time  0.453458
2021-09-25 12:15:59.437067 : Epoch  7, Batch    365, Loss  0.871787, Average Loss  0.869821, Time  0.444161
2021-09-25 12:15:59.469865 : Epoch  7, Batch    709, Loss  0.882060, Average Loss  0.868552, Time  0.444596
2021-09-25 12:16:05.489457 : Epoch  7, Batch    366, Loss  0.857551, Average Loss  0.869771, Time  0.445896
2021-09-25 12:16:05.519028 : Epoch  7, Batch    710, Loss  0.875105, Average Loss  0.868560, Time  0.459532
2021-09-25 12:16:11.539000 : Epoch  7, Batch    367, Loss  0.843971, Average Loss  0.869580, Time  0.445228
2021-09-25 12:16:11.570251 : Epoch  7, Batch    711, Loss  0.870406, Average Loss  0.868599, Time  0.449096
2021-09-25 12:16:17.576391 : Epoch  7, Batch    368, Loss  0.877771, Average Loss  0.869613, Time  0.446253
2021-09-25 12:16:17.609679 : Epoch  7, Batch    712, Loss  0.881531, Average Loss  0.868692, Time  0.446222
2021-09-25 12:16:23.618233 : Epoch  7, Batch    369, Loss  0.878557, Average Loss  0.869658, Time  0.447078
2021-09-25 12:16:23.657074 : Epoch  7, Batch    713, Loss  0.859254, Average Loss  0.868650, Time  0.447048
2021-09-25 12:16:29.660363 : Epoch  7, Batch    370, Loss  0.871846, Average Loss  0.869659, Time  0.445640
2021-09-25 12:16:29.713495 : Epoch  7, Batch    714, Loss  0.873442, Average Loss  0.868767, Time  0.445029
2021-09-25 12:16:35.719362 : Epoch  7, Batch    371, Loss  0.879648, Average Loss  0.869723, Time  0.461313
2021-09-25 12:16:35.755345 : Epoch  7, Batch    715, Loss  0.866134, Average Loss  0.868837, Time  0.445635
2021-09-25 12:16:41.777808 : Epoch  7, Batch    372, Loss  0.866000, Average Loss  0.869730, Time  0.445410
2021-09-25 12:16:41.817475 : Epoch  7, Batch    716, Loss  0.878640, Average Loss  0.868838, Time  0.445770
2021-09-25 12:16:47.826793 : Epoch  7, Batch    373, Loss  0.868843, Average Loss  0.869770, Time  0.445182
2021-09-25 12:16:47.873060 : Epoch  7, Batch    717, Loss  0.878438, Average Loss  0.868899, Time  0.446021
2021-09-25 12:16:53.878383 : Epoch  7, Batch    374, Loss  0.869884, Average Loss  0.869732, Time  0.444271
2021-09-25 12:16:53.935394 : Epoch  7, Batch    718, Loss  0.862775, Average Loss  0.868907, Time  0.461591
2021-09-25 12:16:59.925550 : Epoch  7, Batch    375, Loss  0.873035, Average Loss  0.869753, Time  0.447441
2021-09-25 12:16:59.968993 : Epoch  7, Batch    719, Loss  0.867425, Average Loss  0.868996, Time  0.445817
2021-09-25 12:17:05.956347 : Epoch  7, Batch    376, Loss  0.865965, Average Loss  0.869663, Time  0.444663
2021-09-25 12:17:05.991013 : Epoch  7, Batch    720, Loss  0.875743, Average Loss  0.868957, Time  0.444925
2021-09-25 12:17:12.009247 : Epoch  7, Batch    721, Loss  0.875612, Average Loss  0.869018, Time  0.445341
2021-09-25 12:17:12.041314 : Epoch  7, Batch    377, Loss  0.876886, Average Loss  0.869621, Time  0.450306
2021-09-25 12:17:18.055795 : Epoch  7, Batch    722, Loss  0.884131, Average Loss  0.869032, Time  0.446477
2021-09-25 12:17:18.110899 : Epoch  7, Batch    378, Loss  0.872064, Average Loss  0.869646, Time  0.445551
2021-09-25 12:17:24.100880 : Epoch  7, Batch    723, Loss  0.875113, Average Loss  0.869014, Time  0.445027
2021-09-25 12:17:24.176218 : Epoch  7, Batch    379, Loss  0.880126, Average Loss  0.869728, Time  0.459390
2021-09-25 12:17:30.149123 : Epoch  7, Batch    724, Loss  0.865742, Average Loss  0.868974, Time  0.446019
2021-09-25 12:17:30.234515 : Epoch  7, Batch    380, Loss  0.880035, Average Loss  0.869854, Time  0.445901
2021-09-25 12:17:36.235085 : Epoch  7, Batch    725, Loss  0.886302, Average Loss  0.869064, Time  0.460198
2021-09-25 12:17:36.287872 : Epoch  7, Batch    381, Loss  0.863431, Average Loss  0.869820, Time  0.445340
2021-09-25 12:17:42.280737 : Epoch  7, Batch    726, Loss  0.863519, Average Loss  0.869022, Time  0.444711
2021-09-25 12:17:42.318877 : Epoch  7, Batch    382, Loss  0.855504, Average Loss  0.869728, Time  0.443857
2021-09-25 12:17:48.326549 : Epoch  7, Batch    727, Loss  0.870751, Average Loss  0.869109, Time  0.445067
2021-09-25 12:17:48.360552 : Epoch  7, Batch    383, Loss  0.862467, Average Loss  0.869719, Time  0.446023
2021-09-25 12:17:54.366759 : Epoch  7, Batch    728, Loss  0.866987, Average Loss  0.869111, Time  0.447181
2021-09-25 12:17:54.430734 : Epoch  7, Batch    384, Loss  0.863070, Average Loss  0.869760, Time  0.445320
2021-09-25 12:18:00.420767 : Epoch  7, Batch    729, Loss  0.865701, Average Loss  0.869161, Time  0.447777
2021-09-25 12:18:00.469189 : Epoch  7, Batch    385, Loss  0.882439, Average Loss  0.869847, Time  0.444137
2021-09-25 12:18:06.480013 : Epoch  7, Batch    730, Loss  0.866174, Average Loss  0.869034, Time  0.444792
2021-09-25 12:18:06.515005 : Epoch  7, Batch    386, Loss  0.869917, Average Loss  0.869888, Time  0.457809
2021-09-25 12:18:12.523168 : Epoch  7, Batch    731, Loss  0.872812, Average Loss  0.869030, Time  0.445122
2021-09-25 12:18:12.550957 : Epoch  7, Batch    387, Loss  0.872109, Average Loss  0.869868, Time  0.446579
2021-09-25 12:18:18.558246 : Epoch  7, Batch    732, Loss  0.863992, Average Loss  0.869038, Time  0.445852
2021-09-25 12:18:18.586906 : Epoch  7, Batch    388, Loss  0.873816, Average Loss  0.869875, Time  0.443847
2021-09-25 12:18:24.628773 : Epoch  7, Batch    389, Loss  0.853629, Average Loss  0.869805, Time  0.447531
2021-09-25 12:18:30.686519 : Epoch  7, Batch    390, Loss  0.879690, Average Loss  0.869805, Time  0.446285
2021-09-25 12:18:36.751043 : Epoch  7, Batch    391, Loss  0.872268, Average Loss  0.869785, Time  0.446338
2021-09-25 12:18:42.797874 : Epoch  7, Batch    392, Loss  0.877002, Average Loss  0.869797, Time  0.445682
2021-09-25 12:18:48.821694 : Epoch  7, Batch    393, Loss  0.878780, Average Loss  0.869797, Time  0.443937
2021-09-25 12:18:54.868113 : Epoch  7, Batch    394, Loss  0.866312, Average Loss  0.869776, Time  0.454641
2021-09-25 12:19:00.914870 : Epoch  7, Batch    395, Loss  0.876966, Average Loss  0.869773, Time  0.444025
2021-09-25 12:19:06.968391 : Epoch  7, Batch    396, Loss  0.884348, Average Loss  0.869854, Time  0.444143
2021-09-25 12:19:13.017867 : Epoch  7, Batch    397, Loss  0.876997, Average Loss  0.869911, Time  0.444798
2021-09-25 12:19:19.082783 : Epoch  7, Batch    398, Loss  0.877268, Average Loss  0.869997, Time  0.444690
2021-09-25 12:19:25.134202 : Epoch  7, Batch    399, Loss  0.880747, Average Loss  0.870097, Time  0.443561
2021-09-25 12:19:31.205708 : Epoch  7, Batch    400, Loss  0.865694, Average Loss  0.870086, Time  0.445074
2021-09-25 12:19:37.286054 : Epoch  7, Batch    401, Loss  0.858745, Average Loss  0.870068, Time  0.457169
2021-09-25 12:19:43.331593 : Epoch  7, Batch    402, Loss  0.872328, Average Loss  0.870053, Time  0.443587
2021-09-25 12:19:49.372468 : Epoch  7, Batch    403, Loss  0.862610, Average Loss  0.870033, Time  0.445725
2021-09-25 12:19:55.434816 : Epoch  7, Batch    404, Loss  0.877187, Average Loss  0.870107, Time  0.448364
2021-09-25 12:20:01.501668 : Epoch  7, Batch    405, Loss  0.855885, Average Loss  0.870024, Time  0.443747
2021-09-25 12:20:07.571068 : Epoch  7, Batch    406, Loss  0.887373, Average Loss  0.870035, Time  0.445226
2021-09-25 12:20:13.599641 : Epoch  7, Batch    407, Loss  0.875440, Average Loss  0.870141, Time  0.444547
2021-09-25 12:20:19.678116 : Epoch  7, Batch    408, Loss  0.885988, Average Loss  0.870199, Time  0.443975
2021-09-25 12:20:25.745780 : Epoch  7, Batch    409, Loss  0.869414, Average Loss  0.870218, Time  0.457247
2021-09-25 12:20:31.803285 : Epoch  7, Batch    410, Loss  0.857489, Average Loss  0.870041, Time  0.449805
2021-09-25 12:20:37.861643 : Epoch  7, Batch    411, Loss  0.882544, Average Loss  0.870057, Time  0.445355
2021-09-25 12:20:43.890984 : Epoch  7, Batch    412, Loss  0.872993, Average Loss  0.870155, Time  0.445312
2021-09-25 12:20:49.960394 : Epoch  7, Batch    413, Loss  0.868695, Average Loss  0.870061, Time  0.444982
2021-09-25 12:20:56.025760 : Epoch  7, Batch    414, Loss  0.859673, Average Loss  0.869928, Time  0.445532
2021-09-25 12:21:02.096753 : Epoch  7, Batch    415, Loss  0.864851, Average Loss  0.869876, Time  0.447788
2021-09-25 12:21:08.166811 : Epoch  7, Batch    416, Loss  0.870580, Average Loss  0.869927, Time  0.457343
2021-09-25 12:21:14.196433 : Epoch  7, Batch    417, Loss  0.871341, Average Loss  0.869899, Time  0.445681
2021-09-25 12:21:20.259981 : Epoch  7, Batch    418, Loss  0.874046, Average Loss  0.869873, Time  0.446123
2021-09-25 12:21:26.305984 : Epoch  7, Batch    419, Loss  0.859010, Average Loss  0.869782, Time  0.448289
2021-09-25 12:21:32.355724 : Epoch  7, Batch    420, Loss  0.877705, Average Loss  0.869837, Time  0.444673
2021-09-25 12:21:38.404455 : Epoch  7, Batch    421, Loss  0.883503, Average Loss  0.869943, Time  0.444640
2021-09-25 12:21:44.454960 : Epoch  7, Batch    422, Loss  0.878974, Average Loss  0.869934, Time  0.445591
2021-09-25 12:21:50.510702 : Epoch  7, Batch    423, Loss  0.850871, Average Loss  0.869843, Time  0.444938
2021-09-25 12:21:56.622860 : Epoch  7, Batch    424, Loss  0.875537, Average Loss  0.869882, Time  0.468166
2021-09-25 12:22:02.690626 : Epoch  7, Batch    425, Loss  0.871510, Average Loss  0.869786, Time  0.447210
2021-09-25 12:22:08.749203 : Epoch  7, Batch    426, Loss  0.871076, Average Loss  0.869873, Time  0.444244
2021-09-25 12:22:14.818840 : Epoch  7, Batch    427, Loss  0.857559, Average Loss  0.869819, Time  0.445429
2021-09-25 12:22:20.880284 : Epoch  7, Batch    428, Loss  0.868327, Average Loss  0.869825, Time  0.443877
2021-09-25 12:22:26.928286 : Epoch  7, Batch    429, Loss  0.867604, Average Loss  0.869804, Time  0.445007
2021-09-25 12:22:33.007951 : Epoch  7, Batch    430, Loss  0.865165, Average Loss  0.869744, Time  0.443632
2021-09-25 12:22:39.105015 : Epoch  7, Batch    431, Loss  0.879355, Average Loss  0.869793, Time  0.457521
2021-09-25 12:22:50.722028 : Epoch  7, Batch    432, Loss  0.865213, Average Loss  0.869784, Time  0.445366
2021-09-25 12:23:04.848087 : CheckPoint: Validation Loss  0.00015066, Best Loss  0.00014804
2021-09-25 12:23:10.906231 : Epoch  7, Batch    733, Loss  0.868020, Average Loss  0.869015, Time  0.448467
2021-09-25 12:23:16.944295 : Epoch  7, Batch    734, Loss  0.860465, Average Loss  0.868955, Time  0.446196
2021-09-25 12:23:22.996066 : Epoch  7, Batch    735, Loss  0.870977, Average Loss  0.868974, Time  0.444353
2021-09-25 12:23:29.049798 : Epoch  7, Batch    736, Loss  0.866438, Average Loss  0.868969, Time  0.445211
2021-09-25 12:23:35.097118 : Epoch  7, Batch    737, Loss  0.855866, Average Loss  0.868917, Time  0.445871
2021-09-25 12:23:41.161789 : Epoch  7, Batch    738, Loss  0.864952, Average Loss  0.868836, Time  0.446065
2021-09-25 12:23:47.218852 : Epoch  7, Batch    739, Loss  0.860123, Average Loss  0.868780, Time  0.451558
2021-09-25 12:23:53.278307 : Epoch  7, Batch    740, Loss  0.869786, Average Loss  0.868809, Time  0.448662
2021-09-25 12:23:59.325946 : Epoch  7, Batch    741, Loss  0.868504, Average Loss  0.868827, Time  0.448659
2021-09-25 12:24:05.366856 : Epoch  7, Batch    742, Loss  0.866230, Average Loss  0.868804, Time  0.446360
2021-09-25 12:24:11.422579 : Epoch  7, Batch    743, Loss  0.864894, Average Loss  0.868717, Time  0.444812
2021-09-25 12:24:17.471960 : Epoch  7, Batch    744, Loss  0.867818, Average Loss  0.868672, Time  0.445291
2021-09-25 12:24:23.528563 : Epoch  7, Batch    745, Loss  0.863158, Average Loss  0.868668, Time  0.446513
2021-09-25 12:24:29.593802 : Epoch  7, Batch    746, Loss  0.871083, Average Loss  0.868683, Time  0.461867
2021-09-25 12:24:35.643098 : Epoch  7, Batch    747, Loss  0.874170, Average Loss  0.868840, Time  0.451933
2021-09-25 12:24:41.668742 : Epoch  7, Batch    748, Loss  0.861593, Average Loss  0.868786, Time  0.448062
2021-09-25 12:24:47.714020 : Epoch  7, Batch    749, Loss  0.878504, Average Loss  0.868812, Time  0.446530
2021-09-25 12:24:53.757115 : Epoch  7, Batch    750, Loss  0.855050, Average Loss  0.868712, Time  0.446762
2021-09-25 12:24:59.798728 : Epoch  7, Batch    751, Loss  0.858793, Average Loss  0.868594, Time  0.444629
2021-09-25 12:25:05.839691 : Epoch  7, Batch    752, Loss  0.864594, Average Loss  0.868547, Time  0.446917
2021-09-25 12:25:11.905034 : Epoch  7, Batch    753, Loss  0.883776, Average Loss  0.868695, Time  0.448697
2021-09-25 12:25:17.964890 : Epoch  7, Batch    754, Loss  0.878876, Average Loss  0.868701, Time  0.453857
2021-09-25 12:25:24.037598 : Epoch  7, Batch    755, Loss  0.885174, Average Loss  0.868838, Time  0.445137
2021-09-25 12:25:30.082843 : Epoch  7, Batch    756, Loss  0.879963, Average Loss  0.868878, Time  0.445264
2021-09-25 12:25:36.125525 : Epoch  7, Batch    757, Loss  0.882922, Average Loss  0.868919, Time  0.449461
2021-09-25 12:25:42.165534 : Epoch  7, Batch    758, Loss  0.870829, Average Loss  0.868926, Time  0.446236
2021-09-25 12:25:48.233850 : Epoch  7, Batch    759, Loss  0.870993, Average Loss  0.868970, Time  0.446168
2021-09-25 12:25:54.295826 : Epoch  7, Batch    760, Loss  0.871144, Average Loss  0.868910, Time  0.446411
2021-09-25 12:26:00.364079 : Epoch  7, Batch    761, Loss  0.876857, Average Loss  0.868944, Time  0.457439
2021-09-25 12:26:06.429314 : Epoch  7, Batch    762, Loss  0.876693, Average Loss  0.869039, Time  0.446303
2021-09-25 12:26:12.471776 : Epoch  7, Batch    763, Loss  0.877455, Average Loss  0.869050, Time  0.447250
2021-09-25 12:26:18.520362 : Epoch  7, Batch    764, Loss  0.867769, Average Loss  0.869064, Time  0.450350
2021-09-25 12:26:24.569225 : Epoch  7, Batch    765, Loss  0.858322, Average Loss  0.869039, Time  0.445011
2021-09-25 12:26:30.621894 : Epoch  7, Batch    766, Loss  0.866793, Average Loss  0.869063, Time  0.445978
2021-09-25 12:26:36.675811 : Epoch  7, Batch    767, Loss  0.873300, Average Loss  0.869045, Time  0.444646
2021-09-25 12:26:42.734564 : Epoch  7, Batch    768, Loss  0.876373, Average Loss  0.869094, Time  0.449967
2021-09-25 12:26:48.797892 : Epoch  7, Batch    769, Loss  0.865633, Average Loss  0.869033, Time  0.458753
2021-09-25 12:26:54.842361 : Epoch  7, Batch    770, Loss  0.879941, Average Loss  0.869120, Time  0.445678
2021-09-25 12:27:00.884968 : Epoch  7, Batch    771, Loss  0.891836, Average Loss  0.869267, Time  0.450830
2021-09-25 12:27:06.933868 : Epoch  7, Batch    772, Loss  0.862607, Average Loss  0.869253, Time  0.445414
2021-09-25 12:27:12.984818 : Epoch  7, Batch    773, Loss  0.874910, Average Loss  0.869280, Time  0.444592
2021-09-25 12:27:19.032786 : Epoch  7, Batch    774, Loss  0.878435, Average Loss  0.869290, Time  0.444938
2021-09-25 12:27:25.085991 : Epoch  7, Batch    775, Loss  0.862704, Average Loss  0.869181, Time  0.445674
2021-09-25 12:27:31.143782 : Epoch  7, Batch    776, Loss  0.856016, Average Loss  0.869172, Time  0.456338
2021-09-25 12:27:33.561820 : CheckPoint: Validation Loss  0.00015078, Best Loss  0.00014758
2021-09-25 12:27:37.170434 : Epoch  7, Batch    777, Loss  0.864186, Average Loss  0.869049, Time  0.444788
2021-09-25 12:27:39.566887 : Epoch  7, Batch    433, Loss  0.888139, Average Loss  0.869910, Time  0.445906
2021-09-25 12:27:43.218692 : Epoch  7, Batch    778, Loss  0.872964, Average Loss  0.868999, Time  0.445174
2021-09-25 12:27:45.600667 : Epoch  7, Batch    434, Loss  0.865596, Average Loss  0.869868, Time  0.445594
2021-09-25 12:27:49.274352 : Epoch  7, Batch    779, Loss  0.879551, Average Loss  0.869052, Time  0.444701
2021-09-25 12:27:50.084206 : Epoch  7, Batch    435, Loss  0.872427, Average Loss  0.869937, Time  0.347184
2021-09-25 12:27:55.330904 : Epoch  7, Batch    780, Loss  0.870081, Average Loss  0.869085, Time  0.446601
2021-09-25 12:27:56.131222 : Epoch  7, Batch    436, Loss  0.866073, Average Loss  0.869943, Time  0.444726
2021-09-25 12:28:01.400419 : Epoch  7, Batch    781, Loss  0.874010, Average Loss  0.869228, Time  0.448435
2021-09-25 12:28:02.204368 : Epoch  7, Batch    437, Loss  0.873518, Average Loss  0.869901, Time  0.451212
2021-09-25 12:28:07.442764 : Epoch  7, Batch    782, Loss  0.875388, Average Loss  0.869256, Time  0.447146
2021-09-25 12:28:08.260430 : Epoch  7, Batch    438, Loss  0.863677, Average Loss  0.869793, Time  0.444143
2021-09-25 12:28:13.497284 : Epoch  7, Batch    783, Loss  0.856099, Average Loss  0.869270, Time  0.445358
2021-09-25 12:28:14.318651 : Epoch  7, Batch    439, Loss  0.871473, Average Loss  0.869694, Time  0.448046
2021-09-25 12:28:19.558969 : Epoch  7, Batch    784, Loss  0.859184, Average Loss  0.869275, Time  0.458402
2021-09-25 12:28:20.396467 : Epoch  7, Batch    440, Loss  0.873992, Average Loss  0.869723, Time  0.456522
2021-09-25 12:28:25.613621 : Epoch  7, Batch    785, Loss  0.860192, Average Loss  0.869258, Time  0.445827
2021-09-25 12:28:26.458804 : Epoch  7, Batch    441, Loss  0.876125, Average Loss  0.869762, Time  0.444075
2021-09-25 12:28:31.648589 : Epoch  7, Batch    786, Loss  0.875196, Average Loss  0.869187, Time  0.446220
2021-09-25 12:28:32.509848 : Epoch  7, Batch    442, Loss  0.884614, Average Loss  0.869854, Time  0.444484
2021-09-25 12:28:37.679878 : Epoch  7, Batch    787, Loss  0.862890, Average Loss  0.869192, Time  0.445223
2021-09-25 12:28:38.576970 : Epoch  7, Batch    443, Loss  0.882431, Average Loss  0.869884, Time  0.446214
2021-09-25 12:28:43.728432 : Epoch  7, Batch    788, Loss  0.861961, Average Loss  0.869197, Time  0.449875
2021-09-25 12:28:44.646796 : Epoch  7, Batch    444, Loss  0.858108, Average Loss  0.869838, Time  0.456033
2021-09-25 12:28:49.789080 : Epoch  7, Batch    789, Loss  0.849459, Average Loss  0.869093, Time  0.448722
2021-09-25 12:28:50.710314 : Epoch  7, Batch    445, Loss  0.867994, Average Loss  0.869903, Time  0.448131
2021-09-25 12:28:55.824217 : Epoch  7, Batch    790, Loss  0.857586, Average Loss  0.869123, Time  0.444776
2021-09-25 12:28:56.765846 : Epoch  7, Batch    446, Loss  0.876655, Average Loss  0.869990, Time  0.445800
2021-09-25 12:29:01.876449 : Epoch  7, Batch    791, Loss  0.866939, Average Loss  0.869140, Time  0.457061
2021-09-25 12:29:02.819422 : Epoch  7, Batch    447, Loss  0.877819, Average Loss  0.870036, Time  0.449340
2021-09-25 12:29:07.901770 : Epoch  7, Batch    792, Loss  0.883332, Average Loss  0.869174, Time  0.445108
2021-09-25 12:29:08.863372 : Epoch  7, Batch    448, Loss  0.882984, Average Loss  0.870167, Time  0.447973
2021-09-25 12:29:13.950825 : Epoch  7, Batch    793, Loss  0.866615, Average Loss  0.869240, Time  0.454321
2021-09-25 12:29:14.915850 : Epoch  7, Batch    449, Loss  0.875973, Average Loss  0.870210, Time  0.444247
2021-09-25 12:29:19.986684 : Epoch  7, Batch    794, Loss  0.871234, Average Loss  0.869290, Time  0.445103
2021-09-25 12:29:20.952343 : Epoch  7, Batch    450, Loss  0.887725, Average Loss  0.870253, Time  0.448185
2021-09-25 12:29:26.038908 : Epoch  7, Batch    795, Loss  0.873892, Average Loss  0.869224, Time  0.447293
2021-09-25 12:29:27.005455 : Epoch  7, Batch    451, Loss  0.884539, Average Loss  0.870357, Time  0.444381
2021-09-25 12:29:32.084381 : Epoch  7, Batch    796, Loss  0.864264, Average Loss  0.869239, Time  0.444679
2021-09-25 12:29:33.055048 : Epoch  7, Batch    452, Loss  0.872005, Average Loss  0.870391, Time  0.455822
2021-09-25 12:29:38.109796 : Epoch  7, Batch    797, Loss  0.851441, Average Loss  0.869094, Time  0.444814
2021-09-25 12:29:39.111051 : Epoch  7, Batch    453, Loss  0.853115, Average Loss  0.870293, Time  0.446720
2021-09-25 12:29:44.129655 : Epoch  7, Batch    798, Loss  0.870028, Average Loss  0.869106, Time  0.446126
2021-09-25 12:29:45.169753 : Epoch  7, Batch    454, Loss  0.853075, Average Loss  0.870224, Time  0.448099
2021-09-25 12:29:50.184438 : Epoch  7, Batch    799, Loss  0.853526, Average Loss  0.868943, Time  0.458832
2021-09-25 12:29:51.217911 : Epoch  7, Batch    455, Loss  0.867692, Average Loss  0.870200, Time  0.445875
2021-09-25 12:29:56.232747 : Epoch  7, Batch    800, Loss  0.866209, Average Loss  0.868999, Time  0.446663
2021-09-25 12:29:57.261746 : Epoch  7, Batch    456, Loss  0.863610, Average Loss  0.870173, Time  0.445673
2021-09-25 12:30:02.288175 : Epoch  7, Batch    801, Loss  0.868702, Average Loss  0.868949, Time  0.447947
2021-09-25 12:30:03.323038 : Epoch  7, Batch    457, Loss  0.879200, Average Loss  0.870142, Time  0.446000
2021-09-25 12:30:08.346872 : Epoch  7, Batch    802, Loss  0.877367, Average Loss  0.868992, Time  0.444613
2021-09-25 12:30:09.355777 : Epoch  7, Batch    458, Loss  0.876225, Average Loss  0.870072, Time  0.445137
2021-09-25 12:30:14.397771 : Epoch  7, Batch    803, Loss  0.881293, Average Loss  0.869101, Time  0.444824
2021-09-25 12:30:15.401571 : Epoch  7, Batch    459, Loss  0.857990, Average Loss  0.869931, Time  0.451736
2021-09-25 12:30:20.443410 : Epoch  7, Batch    804, Loss  0.867869, Average Loss  0.869154, Time  0.447277
2021-09-25 12:30:21.457085 : Epoch  7, Batch    460, Loss  0.863856, Average Loss  0.869892, Time  0.445921
2021-09-25 12:30:26.488814 : Epoch  7, Batch    805, Loss  0.876546, Average Loss  0.869244, Time  0.445890
2021-09-25 12:30:27.503885 : Epoch  7, Batch    461, Loss  0.876713, Average Loss  0.869941, Time  0.444325
2021-09-25 12:30:32.563499 : Epoch  7, Batch    806, Loss  0.879215, Average Loss  0.869279, Time  0.460500
2021-09-25 12:30:33.603833 : Epoch  7, Batch    462, Loss  0.865920, Average Loss  0.870024, Time  0.447669
2021-09-25 12:30:38.608350 : Epoch  7, Batch    807, Loss  0.871088, Average Loss  0.869280, Time  0.452827
2021-09-25 12:30:39.675757 : Epoch  7, Batch    463, Loss  0.858741, Average Loss  0.869993, Time  0.444577
2021-09-25 12:30:44.655374 : Epoch  7, Batch    808, Loss  0.878603, Average Loss  0.869351, Time  0.445519
2021-09-25 12:30:45.736813 : Epoch  7, Batch    464, Loss  0.865914, Average Loss  0.869987, Time  0.446473
2021-09-25 12:30:50.696527 : Epoch  7, Batch    809, Loss  0.865349, Average Loss  0.869384, Time  0.445954
2021-09-25 12:30:51.808474 : Epoch  7, Batch    465, Loss  0.870797, Average Loss  0.869959, Time  0.445589
2021-09-25 12:30:56.745449 : Epoch  7, Batch    810, Loss  0.876220, Average Loss  0.869466, Time  0.450252
2021-09-25 12:30:57.877795 : Epoch  7, Batch    466, Loss  0.861816, Average Loss  0.870003, Time  0.445064
2021-09-25 12:31:02.789942 : Epoch  7, Batch    811, Loss  0.883133, Average Loss  0.869613, Time  0.445399
2021-09-25 12:31:03.946702 : Epoch  7, Batch    467, Loss  0.874222, Average Loss  0.870050, Time  0.458695
2021-09-25 12:31:08.850882 : Epoch  7, Batch    812, Loss  0.873322, Average Loss  0.869704, Time  0.445667
2021-09-25 12:31:10.009656 : Epoch  7, Batch    468, Loss  0.867358, Average Loss  0.870017, Time  0.455208
2021-09-25 12:31:14.905785 : Epoch  7, Batch    813, Loss  0.862623, Average Loss  0.869642, Time  0.445030
2021-09-25 12:31:16.049848 : Epoch  7, Batch    469, Loss  0.862996, Average Loss  0.869960, Time  0.446254
2021-09-25 12:31:20.960586 : Epoch  7, Batch    814, Loss  0.876175, Average Loss  0.869637, Time  0.454321
2021-09-25 12:31:22.092981 : Epoch  7, Batch    470, Loss  0.878723, Average Loss  0.870061, Time  0.444489
2021-09-25 12:31:27.000605 : Epoch  7, Batch    815, Loss  0.860166, Average Loss  0.869557, Time  0.445146
2021-09-25 12:31:28.163870 : Epoch  7, Batch    471, Loss  0.863628, Average Loss  0.870068, Time  0.444185
2021-09-25 12:31:33.025869 : Epoch  7, Batch    816, Loss  0.861441, Average Loss  0.869522, Time  0.445117
2021-09-25 12:31:34.191740 : Epoch  7, Batch    472, Loss  0.881656, Average Loss  0.870054, Time  0.443990
2021-09-25 12:31:39.043748 : Epoch  7, Batch    817, Loss  0.865186, Average Loss  0.869543, Time  0.444515
2021-09-25 12:31:40.217343 : Epoch  7, Batch    473, Loss  0.873465, Average Loss  0.869978, Time  0.446050
2021-09-25 12:31:45.068250 : Epoch  7, Batch    818, Loss  0.875149, Average Loss  0.869606, Time  0.447300
2021-09-25 12:31:46.289122 : Epoch  7, Batch    474, Loss  0.866409, Average Loss  0.869937, Time  0.453023
2021-09-25 12:31:51.117399 : Epoch  7, Batch    819, Loss  0.865728, Average Loss  0.869613, Time  0.444660
2021-09-25 12:31:52.331863 : Epoch  7, Batch    475, Loss  0.875910, Average Loss  0.869932, Time  0.444918
2021-09-25 12:31:57.181310 : Epoch  7, Batch    820, Loss  0.872244, Average Loss  0.869638, Time  0.445852
2021-09-25 12:31:58.394930 : Epoch  7, Batch    476, Loss  0.866582, Average Loss  0.869844, Time  0.443985
2021-09-25 12:32:03.235789 : Epoch  7, Batch    821, Loss  0.869377, Average Loss  0.869580, Time  0.456215
2021-09-25 12:32:04.431488 : Epoch  7, Batch    477, Loss  0.865114, Average Loss  0.869810, Time  0.445900
2021-09-25 12:32:09.303884 : Epoch  7, Batch    822, Loss  0.854818, Average Loss  0.869470, Time  0.445457
2021-09-25 12:32:10.475592 : Epoch  7, Batch    478, Loss  0.877541, Average Loss  0.869836, Time  0.447959
2021-09-25 12:32:15.338100 : Epoch  7, Batch    823, Loss  0.875705, Average Loss  0.869525, Time  0.445163
2021-09-25 12:32:16.550903 : Epoch  7, Batch    479, Loss  0.855595, Average Loss  0.869786, Time  0.445989
2021-09-25 12:32:21.401965 : Epoch  7, Batch    824, Loss  0.872713, Average Loss  0.869502, Time  0.445182
2021-09-25 12:32:22.638778 : Epoch  7, Batch    480, Loss  0.865388, Average Loss  0.869774, Time  0.447376
2021-09-25 12:32:27.438295 : Epoch  7, Batch    825, Loss  0.876834, Average Loss  0.869482, Time  0.446699
2021-09-25 12:32:28.707370 : Epoch  7, Batch    481, Loss  0.871592, Average Loss  0.869810, Time  0.450776
2021-09-25 12:32:33.492620 : Epoch  7, Batch    826, Loss  0.855494, Average Loss  0.869392, Time  0.446262
2021-09-25 12:32:34.806037 : Epoch  7, Batch    482, Loss  0.853190, Average Loss  0.869715, Time  0.460981
2021-09-25 12:32:39.534930 : Epoch  7, Batch    827, Loss  0.859679, Average Loss  0.869332, Time  0.446522
2021-09-25 12:32:40.847479 : Epoch  7, Batch    483, Loss  0.861095, Average Loss  0.869678, Time  0.447379
2021-09-25 12:32:45.588819 : Epoch  7, Batch    828, Loss  0.872217, Average Loss  0.869271, Time  0.445094
2021-09-25 12:32:46.878899 : Epoch  7, Batch    484, Loss  0.870653, Average Loss  0.869742, Time  0.444954
2021-09-25 12:32:51.641932 : Epoch  7, Batch    829, Loss  0.851649, Average Loss  0.869191, Time  0.458546
2021-09-25 12:32:52.943546 : Epoch  7, Batch    485, Loss  0.867054, Average Loss  0.869752, Time  0.445882
2021-09-25 12:32:57.681764 : Epoch  7, Batch    830, Loss  0.880071, Average Loss  0.869199, Time  0.444268
2021-09-25 12:32:58.987851 : Epoch  7, Batch    486, Loss  0.881042, Average Loss  0.869882, Time  0.449587
2021-09-25 12:33:03.727788 : Epoch  7, Batch    831, Loss  0.883728, Average Loss  0.869236, Time  0.446162
2021-09-25 12:33:05.014697 : Epoch  7, Batch    487, Loss  0.861268, Average Loss  0.869845, Time  0.445012
2021-09-25 12:33:09.771852 : Epoch  7, Batch    832, Loss  0.859558, Average Loss  0.869146, Time  0.446649
2021-09-25 12:33:11.113434 : Epoch  7, Batch    488, Loss  0.866670, Average Loss  0.869814, Time  0.446482
2021-09-25 12:33:17.183765 : Epoch  7, Batch    489, Loss  0.859926, Average Loss  0.869845, Time  0.455994
2021-09-25 12:33:23.205620 : Epoch  7, Batch    490, Loss  0.870234, Average Loss  0.869889, Time  0.448045
2021-09-25 12:33:29.265939 : Epoch  7, Batch    491, Loss  0.865572, Average Loss  0.869805, Time  0.446540
2021-09-25 12:33:35.312761 : Epoch  7, Batch    492, Loss  0.869906, Average Loss  0.869792, Time  0.444453
2021-09-25 12:33:41.385190 : Epoch  7, Batch    493, Loss  0.866961, Average Loss  0.869774, Time  0.444488
2021-09-25 12:33:47.437489 : Epoch  7, Batch    494, Loss  0.866857, Average Loss  0.869859, Time  0.446210
2021-09-25 12:33:53.510193 : Epoch  7, Batch    495, Loss  0.874163, Average Loss  0.869888, Time  0.443638
2021-09-25 12:33:59.557656 : Epoch  7, Batch    496, Loss  0.888916, Average Loss  0.869958, Time  0.443607
2021-09-25 12:34:05.597870 : Epoch  7, Batch    497, Loss  0.873179, Average Loss  0.869966, Time  0.458447
2021-09-25 12:34:11.674463 : Epoch  7, Batch    498, Loss  0.867750, Average Loss  0.869933, Time  0.445886
2021-09-25 12:34:17.725570 : Epoch  7, Batch    499, Loss  0.872092, Average Loss  0.869981, Time  0.444288
2021-09-25 12:34:23.756287 : Epoch  7, Batch    500, Loss  0.873832, Average Loss  0.869984, Time  0.444431
2021-09-25 12:34:29.819543 : Epoch  7, Batch    501, Loss  0.860585, Average Loss  0.869989, Time  0.445917
2021-09-25 12:34:35.870036 : Epoch  7, Batch    502, Loss  0.870586, Average Loss  0.869977, Time  0.444545
2021-09-25 12:34:41.958364 : Epoch  7, Batch    503, Loss  0.869691, Average Loss  0.869971, Time  0.446361
2021-09-25 12:34:48.045133 : Epoch  7, Batch    504, Loss  0.879876, Average Loss  0.870022, Time  0.458817
2021-09-25 12:34:54.129359 : Epoch  7, Batch    505, Loss  0.858530, Average Loss  0.869980, Time  0.445319
2021-09-25 12:35:00.190801 : Epoch  7, Batch    506, Loss  0.879692, Average Loss  0.870028, Time  0.444811
2021-09-25 12:35:06.217840 : Epoch  7, Batch    507, Loss  0.878405, Average Loss  0.870053, Time  0.444720
2021-09-25 12:35:12.269716 : Epoch  7, Batch    508, Loss  0.859667, Average Loss  0.869980, Time  0.445039
2021-09-25 12:35:18.317449 : Epoch  7, Batch    509, Loss  0.874652, Average Loss  0.870080, Time  0.444591
2021-09-25 12:35:24.386151 : Epoch  7, Batch    510, Loss  0.879961, Average Loss  0.870222, Time  0.444173
2021-09-25 12:35:30.469099 : Epoch  7, Batch    511, Loss  0.875665, Average Loss  0.870224, Time  0.449456
2021-09-25 12:35:36.555412 : Epoch  7, Batch    512, Loss  0.874197, Average Loss  0.870244, Time  0.458484
2021-09-25 12:35:42.614870 : Epoch  7, Batch    513, Loss  0.871266, Average Loss  0.870205, Time  0.445789
2021-09-25 12:35:48.696439 : Epoch  7, Batch    514, Loss  0.874151, Average Loss  0.870209, Time  0.445266
2021-09-25 12:35:54.766323 : Epoch  7, Batch    515, Loss  0.871987, Average Loss  0.870157, Time  0.444198
2021-09-25 12:36:00.808663 : Epoch  7, Batch    516, Loss  0.874156, Average Loss  0.870151, Time  0.444716
2021-09-25 12:36:06.859853 : Epoch  7, Batch    517, Loss  0.868887, Average Loss  0.870156, Time  0.447082
2021-09-25 12:36:12.893521 : Epoch  7, Batch    518, Loss  0.879398, Average Loss  0.870301, Time  0.444664
2021-09-25 12:36:18.981603 : Epoch  7, Batch    519, Loss  0.875595, Average Loss  0.870337, Time  0.458417
2021-09-25 12:36:25.033711 : Epoch  7, Batch    520, Loss  0.874354, Average Loss  0.870324, Time  0.445214
2021-09-25 12:36:31.100855 : Epoch  7, Batch    521, Loss  0.867851, Average Loss  0.870307, Time  0.443839
2021-09-25 12:36:37.158175 : Epoch  7, Batch    522, Loss  0.856769, Average Loss  0.870192, Time  0.445696
2021-09-25 12:36:43.198381 : Epoch  7, Batch    523, Loss  0.863302, Average Loss  0.870122, Time  0.445614
2021-09-25 12:36:49.261326 : Epoch  7, Batch    524, Loss  0.858441, Average Loss  0.870032, Time  0.446992
2021-09-25 12:36:55.343595 : Epoch  7, Batch    525, Loss  0.877799, Average Loss  0.870075, Time  0.447072
2021-09-25 12:37:01.430974 : Epoch  7, Batch    526, Loss  0.859858, Average Loss  0.870112, Time  0.446513
2021-09-25 12:37:07.507725 : Epoch  7, Batch    527, Loss  0.879112, Average Loss  0.870205, Time  0.453805
2021-09-25 12:37:13.586077 : Epoch  7, Batch    528, Loss  0.863208, Average Loss  0.870211, Time  0.444774
2021-09-25 12:37:19.649420 : Epoch  7, Batch    529, Loss  0.874608, Average Loss  0.870210, Time  0.445223
2021-09-25 12:37:25.713047 : Epoch  7, Batch    530, Loss  0.868432, Average Loss  0.870183, Time  0.445122
2021-09-25 12:37:31.797692 : Epoch  7, Batch    531, Loss  0.864871, Average Loss  0.870198, Time  0.444453
2021-09-25 12:37:37.888864 : Epoch  7, Batch    532, Loss  0.865884, Average Loss  0.870183, Time  0.448053
2021-09-25 12:37:56.096826 : CheckPoint: Validation Loss  0.00015225, Best Loss  0.00014804
2021-09-25 12:38:02.129792 : Epoch  7, Batch    833, Loss  0.876239, Average Loss  0.869252, Time  0.445897
2021-09-25 12:38:08.200011 : Epoch  7, Batch    834, Loss  0.855493, Average Loss  0.869130, Time  0.445214
2021-09-25 12:38:14.260614 : Epoch  7, Batch    835, Loss  0.860970, Average Loss  0.869044, Time  0.453319
2021-09-25 12:38:20.298915 : Epoch  7, Batch    836, Loss  0.883070, Average Loss  0.869135, Time  0.444370
2021-09-25 12:38:26.360760 : Epoch  7, Batch    837, Loss  0.864474, Average Loss  0.869093, Time  0.446553
2021-09-25 12:38:30.837632 : Epoch  7, Batch    838, Loss  0.873459, Average Loss  0.869111, Time  0.345737
2021-09-25 12:38:37.497722 : Epoch  7, Batch    839, Loss  0.857815, Average Loss  0.869065, Time  0.444624
2021-09-25 12:38:43.579619 : Epoch  7, Batch    840, Loss  0.878052, Average Loss  0.869116, Time  0.449151
2021-09-25 12:38:49.679989 : Epoch  7, Batch    841, Loss  0.862602, Average Loss  0.869062, Time  0.447679
2021-09-25 12:38:55.776898 : Epoch  7, Batch    842, Loss  0.860783, Average Loss  0.869084, Time  0.446748
2021-09-25 12:39:01.887681 : Epoch  7, Batch    843, Loss  0.873153, Average Loss  0.869079, Time  0.454737
2021-09-25 12:39:07.955018 : Epoch  7, Batch    844, Loss  0.862124, Average Loss  0.869040, Time  0.452615
2021-09-25 12:39:14.016989 : Epoch  7, Batch    845, Loss  0.867923, Average Loss  0.869129, Time  0.445772
2021-09-25 12:39:20.093775 : Epoch  7, Batch    846, Loss  0.864190, Average Loss  0.869039, Time  0.445421
2021-09-25 12:39:26.149880 : Epoch  7, Batch    847, Loss  0.860434, Average Loss  0.869018, Time  0.447642
2021-09-25 12:39:32.254699 : Epoch  7, Batch    848, Loss  0.870195, Average Loss  0.869037, Time  0.444790
2021-09-25 12:39:38.324872 : Epoch  7, Batch    849, Loss  0.867143, Average Loss  0.869050, Time  0.446176
2021-09-25 12:39:44.404000 : Epoch  7, Batch    850, Loss  0.861449, Average Loss  0.869061, Time  0.461406
2021-09-25 12:39:50.451540 : Epoch  7, Batch    851, Loss  0.893320, Average Loss  0.869230, Time  0.445843
2021-09-25 12:39:56.517339 : Epoch  7, Batch    852, Loss  0.872006, Average Loss  0.869294, Time  0.447361
2021-09-25 12:40:02.634783 : Epoch  7, Batch    853, Loss  0.857766, Average Loss  0.869228, Time  0.449855
2021-09-25 12:40:08.713414 : Epoch  7, Batch    854, Loss  0.869995, Average Loss  0.869190, Time  0.445602
2021-09-25 12:40:14.810713 : Epoch  7, Batch    855, Loss  0.882946, Average Loss  0.869219, Time  0.445575
2021-09-25 12:40:20.903773 : Epoch  7, Batch    856, Loss  0.862322, Average Loss  0.869084, Time  0.450262
2021-09-25 12:40:26.998080 : Epoch  7, Batch    857, Loss  0.861500, Average Loss  0.868992, Time  0.446334
2021-09-25 12:40:33.112049 : Epoch  7, Batch    858, Loss  0.871990, Average Loss  0.869082, Time  0.456912
2021-09-25 12:40:39.211901 : Epoch  7, Batch    859, Loss  0.857791, Average Loss  0.869077, Time  0.447543
2021-09-25 12:40:45.307302 : Epoch  7, Batch    860, Loss  0.867519, Average Loss  0.869049, Time  0.446366
2021-09-25 12:40:51.381887 : Epoch  7, Batch    861, Loss  0.884974, Average Loss  0.869143, Time  0.446375
2021-09-25 12:40:57.470798 : Epoch  7, Batch    862, Loss  0.877769, Average Loss  0.869187, Time  0.444863
2021-09-25 12:41:03.548787 : Epoch  7, Batch    863, Loss  0.887957, Average Loss  0.869279, Time  0.445419
2021-09-25 12:41:09.611231 : Epoch  7, Batch    864, Loss  0.878506, Average Loss  0.869302, Time  0.445959
2021-09-25 12:41:15.696219 : Epoch  7, Batch    865, Loss  0.878791, Average Loss  0.869328, Time  0.464071
2021-09-25 12:41:21.791401 : Epoch  7, Batch    866, Loss  0.865086, Average Loss  0.869400, Time  0.447992
2021-09-25 12:41:27.870376 : Epoch  7, Batch    867, Loss  0.868746, Average Loss  0.869386, Time  0.446141
2021-09-25 12:41:33.950396 : Epoch  7, Batch    868, Loss  0.857184, Average Loss  0.869339, Time  0.444797
2021-09-25 12:41:40.015845 : Epoch  7, Batch    869, Loss  0.885864, Average Loss  0.869428, Time  0.445344
2021-09-25 12:41:46.099884 : Epoch  7, Batch    870, Loss  0.870140, Average Loss  0.869440, Time  0.446375
2021-09-25 12:41:52.155602 : Epoch  7, Batch    871, Loss  0.871793, Average Loss  0.869448, Time  0.447232
2021-09-25 12:41:58.239917 : Epoch  7, Batch    872, Loss  0.851253, Average Loss  0.869332, Time  0.445840
2021-09-25 12:42:04.306797 : Epoch  7, Batch    873, Loss  0.864200, Average Loss  0.869281, Time  0.458367
2021-09-25 12:42:10.386801 : Epoch  7, Batch    874, Loss  0.861574, Average Loss  0.869261, Time  0.445342
2021-09-25 12:42:16.452781 : Epoch  7, Batch    875, Loss  0.875660, Average Loss  0.869341, Time  0.445888
2021-09-25 12:42:21.018810 : CheckPoint: Validation Loss  0.00015062, Best Loss  0.00014758
2021-09-25 12:42:22.531762 : Epoch  7, Batch    876, Loss  0.868097, Average Loss  0.869296, Time  0.444717
2021-09-25 12:42:27.029419 : Epoch  7, Batch    533, Loss  0.868584, Average Loss  0.870124, Time  0.454738
2021-09-25 12:42:28.610009 : Epoch  7, Batch    877, Loss  0.871321, Average Loss  0.869294, Time  0.447555
2021-09-25 12:42:33.080598 : Epoch  7, Batch    534, Loss  0.875484, Average Loss  0.870103, Time  0.443968
2021-09-25 12:42:34.687214 : Epoch  7, Batch    878, Loss  0.874629, Average Loss  0.869324, Time  0.447152
2021-09-25 12:42:39.114010 : Epoch  7, Batch    535, Loss  0.867760, Average Loss  0.870154, Time  0.445486
2021-09-25 12:42:40.775887 : Epoch  7, Batch    879, Loss  0.862960, Average Loss  0.869375, Time  0.447664
2021-09-25 12:42:45.169705 : Epoch  7, Batch    536, Loss  0.872730, Average Loss  0.870123, Time  0.447410
2021-09-25 12:42:46.874929 : Epoch  7, Batch    880, Loss  0.871090, Average Loss  0.869366, Time  0.463921
2021-09-25 12:42:51.192764 : Epoch  7, Batch    537, Loss  0.857753, Average Loss  0.870099, Time  0.444850
2021-09-25 12:42:52.934756 : Epoch  7, Batch    881, Loss  0.877481, Average Loss  0.869428, Time  0.444748
2021-09-25 12:42:57.240537 : Epoch  7, Batch    538, Loss  0.861406, Average Loss  0.870114, Time  0.445938
2021-09-25 12:42:58.977567 : Epoch  7, Batch    882, Loss  0.881750, Average Loss  0.869544, Time  0.446200
2021-09-25 12:43:03.278837 : Epoch  7, Batch    539, Loss  0.856752, Average Loss  0.869966, Time  0.444150
2021-09-25 12:43:05.040125 : Epoch  7, Batch    883, Loss  0.871176, Average Loss  0.869522, Time  0.444958
2021-09-25 12:43:09.299538 : Epoch  7, Batch    540, Loss  0.862897, Average Loss  0.869929, Time  0.444239
2021-09-25 12:43:11.115869 : Epoch  7, Batch    884, Loss  0.866199, Average Loss  0.869466, Time  0.445032
2021-09-25 12:43:15.403821 : Epoch  7, Batch    541, Loss  0.867481, Average Loss  0.869877, Time  0.461775
2021-09-25 12:43:17.198211 : Epoch  7, Batch    885, Loss  0.867546, Average Loss  0.869397, Time  0.445326
2021-09-25 12:43:21.450634 : Epoch  7, Batch    542, Loss  0.863771, Average Loss  0.869873, Time  0.444150
2021-09-25 12:43:23.269861 : Epoch  7, Batch    886, Loss  0.866523, Average Loss  0.869346, Time  0.447451
2021-09-25 12:43:27.513769 : Epoch  7, Batch    543, Loss  0.865384, Average Loss  0.869927, Time  0.444265
2021-09-25 12:43:29.347414 : Epoch  7, Batch    887, Loss  0.865255, Average Loss  0.869392, Time  0.445674
2021-09-25 12:43:33.549562 : Epoch  7, Batch    544, Loss  0.874437, Average Loss  0.869931, Time  0.444027
2021-09-25 12:43:35.432848 : Epoch  7, Batch    888, Loss  0.858539, Average Loss  0.869360, Time  0.455735
2021-09-25 12:43:39.580246 : Epoch  7, Batch    545, Loss  0.873867, Average Loss  0.869976, Time  0.445286
2021-09-25 12:43:41.518176 : Epoch  7, Batch    889, Loss  0.873385, Average Loss  0.869470, Time  0.444946
2021-09-25 12:43:45.646645 : Epoch  7, Batch    546, Loss  0.862073, Average Loss  0.869889, Time  0.445204
2021-09-25 12:43:47.564643 : Epoch  7, Batch    890, Loss  0.880161, Average Loss  0.869572, Time  0.444952
2021-09-25 12:43:51.660147 : Epoch  7, Batch    547, Loss  0.885049, Average Loss  0.870018, Time  0.444206
2021-09-25 12:43:53.637525 : Epoch  7, Batch    891, Loss  0.876331, Average Loss  0.869588, Time  0.446673
2021-09-25 12:43:57.756365 : Epoch  7, Batch    548, Loss  0.879625, Average Loss  0.870076, Time  0.457267
2021-09-25 12:43:59.727751 : Epoch  7, Batch    892, Loss  0.872678, Average Loss  0.869602, Time  0.447890
2021-09-25 12:44:03.820908 : Epoch  7, Batch    549, Loss  0.855267, Average Loss  0.870021, Time  0.444678
2021-09-25 12:44:05.811704 : Epoch  7, Batch    893, Loss  0.866088, Average Loss  0.869617, Time  0.445970
2021-09-25 12:44:09.866451 : Epoch  7, Batch    550, Loss  0.873737, Average Loss  0.870050, Time  0.443856
2021-09-25 12:44:11.889138 : Epoch  7, Batch    894, Loss  0.867191, Average Loss  0.869622, Time  0.446434
2021-09-25 12:44:15.887437 : Epoch  7, Batch    551, Loss  0.865327, Average Loss  0.869979, Time  0.443511
2021-09-25 12:44:17.956883 : Epoch  7, Batch    895, Loss  0.853286, Average Loss  0.869571, Time  0.462510
2021-09-25 12:44:21.924316 : Epoch  7, Batch    552, Loss  0.871351, Average Loss  0.869916, Time  0.444904
2021-09-25 12:44:24.032523 : Epoch  7, Batch    896, Loss  0.867594, Average Loss  0.869537, Time  0.444834
2021-09-25 12:44:27.952371 : Epoch  7, Batch    553, Loss  0.868676, Average Loss  0.869845, Time  0.444039
2021-09-25 12:44:30.085094 : Epoch  7, Batch    897, Loss  0.867726, Average Loss  0.869543, Time  0.446516
2021-09-25 12:44:34.016613 : Epoch  7, Batch    554, Loss  0.861275, Average Loss  0.869828, Time  0.444203
2021-09-25 12:44:36.134440 : Epoch  7, Batch    898, Loss  0.876958, Average Loss  0.869556, Time  0.444661
2021-09-25 12:44:40.046280 : Epoch  7, Batch    555, Loss  0.877208, Average Loss  0.869872, Time  0.444028
2021-09-25 12:44:42.187451 : Epoch  7, Batch    899, Loss  0.873840, Average Loss  0.869585, Time  0.445365
2021-09-25 12:44:46.138763 : Epoch  7, Batch    556, Loss  0.871179, Average Loss  0.869917, Time  0.461596
2021-09-25 12:44:48.259657 : Epoch  7, Batch    900, Loss  0.869137, Average Loss  0.869577, Time  0.445409
2021-09-25 12:44:52.178636 : Epoch  7, Batch    557, Loss  0.863350, Average Loss  0.869965, Time  0.444570
2021-09-25 12:44:54.342441 : Epoch  7, Batch    901, Loss  0.875426, Average Loss  0.869650, Time  0.445098
2021-09-25 12:44:58.252190 : Epoch  7, Batch    558, Loss  0.879311, Average Loss  0.869995, Time  0.447083
2021-09-25 12:45:00.406761 : Epoch  7, Batch    902, Loss  0.846490, Average Loss  0.869512, Time  0.450775
2021-09-25 12:45:04.288921 : Epoch  7, Batch    559, Loss  0.865381, Average Loss  0.869981, Time  0.444936
2021-09-25 12:45:06.491804 : Epoch  7, Batch    903, Loss  0.863158, Average Loss  0.869511, Time  0.456859
2021-09-25 12:45:10.325265 : Epoch  7, Batch    560, Loss  0.880983, Average Loss  0.870112, Time  0.444489
2021-09-25 12:45:12.572194 : Epoch  7, Batch    904, Loss  0.872063, Average Loss  0.869535, Time  0.446666
2021-09-25 12:45:16.363431 : Epoch  7, Batch    561, Loss  0.880785, Average Loss  0.870168, Time  0.445154
2021-09-25 12:45:18.635918 : Epoch  7, Batch    905, Loss  0.870133, Average Loss  0.869581, Time  0.447243
2021-09-25 12:45:22.383894 : Epoch  7, Batch    562, Loss  0.855040, Average Loss  0.870079, Time  0.445450
2021-09-25 12:45:24.697118 : Epoch  7, Batch    906, Loss  0.869022, Average Loss  0.869594, Time  0.448809
2021-09-25 12:45:28.449761 : Epoch  7, Batch    563, Loss  0.864819, Average Loss  0.870140, Time  0.457717
2021-09-25 12:45:30.790682 : Epoch  7, Batch    907, Loss  0.875634, Average Loss  0.869556, Time  0.445796
2021-09-25 12:45:34.485341 : Epoch  7, Batch    564, Loss  0.869224, Average Loss  0.870137, Time  0.449186
2021-09-25 12:45:36.849633 : Epoch  7, Batch    908, Loss  0.872829, Average Loss  0.869558, Time  0.446036
2021-09-25 12:45:40.523088 : Epoch  7, Batch    565, Loss  0.858243, Average Loss  0.870070, Time  0.448133
2021-09-25 12:45:42.903772 : Epoch  7, Batch    909, Loss  0.878546, Average Loss  0.869540, Time  0.448367
2021-09-25 12:45:46.575397 : Epoch  7, Batch    566, Loss  0.861421, Average Loss  0.870089, Time  0.445931
2021-09-25 12:45:48.978713 : Epoch  7, Batch    910, Loss  0.867067, Average Loss  0.869500, Time  0.454904
2021-09-25 12:45:52.613036 : Epoch  7, Batch    567, Loss  0.870724, Average Loss  0.870223, Time  0.445608
2021-09-25 12:45:55.068356 : Epoch  7, Batch    911, Loss  0.860598, Average Loss  0.869451, Time  0.445272
2021-09-25 12:45:58.677726 : Epoch  7, Batch    568, Loss  0.875366, Average Loss  0.870211, Time  0.445827
2021-09-25 12:46:01.150073 : Epoch  7, Batch    912, Loss  0.875583, Average Loss  0.869421, Time  0.445192
2021-09-25 12:46:04.735689 : Epoch  7, Batch    569, Loss  0.869767, Average Loss  0.870167, Time  0.443653
2021-09-25 12:46:07.211136 : Epoch  7, Batch    913, Loss  0.866895, Average Loss  0.869459, Time  0.447440
2021-09-25 12:46:10.779784 : Epoch  7, Batch    570, Loss  0.869794, Average Loss  0.870157, Time  0.447780
2021-09-25 12:46:13.256900 : Epoch  7, Batch    914, Loss  0.876098, Average Loss  0.869473, Time  0.446263
2021-09-25 12:46:16.834863 : Epoch  7, Batch    571, Loss  0.887151, Average Loss  0.870194, Time  0.453247
2021-09-25 12:46:19.334285 : Epoch  7, Batch    915, Loss  0.871433, Average Loss  0.869499, Time  0.447548
2021-09-25 12:46:22.888852 : Epoch  7, Batch    572, Loss  0.862274, Average Loss  0.870175, Time  0.445740
2021-09-25 12:46:25.392365 : Epoch  7, Batch    916, Loss  0.873434, Average Loss  0.869473, Time  0.446411
2021-09-25 12:46:28.931020 : Epoch  7, Batch    573, Loss  0.868798, Average Loss  0.870175, Time  0.447350
2021-09-25 12:46:31.450635 : Epoch  7, Batch    917, Loss  0.891994, Average Loss  0.869541, Time  0.445670
2021-09-25 12:46:34.971323 : Epoch  7, Batch    574, Loss  0.862109, Average Loss  0.870136, Time  0.445628
2021-09-25 12:46:37.528673 : Epoch  7, Batch    918, Loss  0.884224, Average Loss  0.869648, Time  0.459305
2021-09-25 12:46:41.012888 : Epoch  7, Batch    575, Loss  0.866986, Average Loss  0.870106, Time  0.443859
2021-09-25 12:46:43.597566 : Epoch  7, Batch    919, Loss  0.867269, Average Loss  0.869647, Time  0.446200
2021-09-25 12:46:47.042331 : Epoch  7, Batch    576, Loss  0.883378, Average Loss  0.870193, Time  0.444718
2021-09-25 12:46:49.655740 : Epoch  7, Batch    920, Loss  0.877043, Average Loss  0.869654, Time  0.444681
2021-09-25 12:46:53.082003 : Epoch  7, Batch    577, Loss  0.862505, Average Loss  0.870121, Time  0.444104
2021-09-25 12:46:55.702621 : Epoch  7, Batch    921, Loss  0.861981, Average Loss  0.869586, Time  0.445670
2021-09-25 12:46:59.163915 : Epoch  7, Batch    578, Loss  0.843905, Average Loss  0.869981, Time  0.461268
2021-09-25 12:47:01.772328 : Epoch  7, Batch    922, Loss  0.854598, Average Loss  0.869438, Time  0.445220
2021-09-25 12:47:05.176672 : Epoch  7, Batch    579, Loss  0.868980, Average Loss  0.869925, Time  0.444901
2021-09-25 12:47:07.838813 : Epoch  7, Batch    923, Loss  0.867132, Average Loss  0.869398, Time  0.445577
2021-09-25 12:47:11.246318 : Epoch  7, Batch    580, Loss  0.865510, Average Loss  0.869852, Time  0.444865
2021-09-25 12:47:13.881671 : Epoch  7, Batch    924, Loss  0.868734, Average Loss  0.869413, Time  0.446656
2021-09-25 12:47:17.312812 : Epoch  7, Batch    581, Loss  0.868855, Average Loss  0.869879, Time  0.444687
2021-09-25 12:47:19.957611 : Epoch  7, Batch    925, Loss  0.875644, Average Loss  0.869360, Time  0.461444
2021-09-25 12:47:23.325745 : Epoch  7, Batch    582, Loss  0.876142, Average Loss  0.869982, Time  0.444571
2021-09-25 12:47:26.015201 : Epoch  7, Batch    926, Loss  0.861306, Average Loss  0.869349, Time  0.444870
2021-09-25 12:47:29.348483 : Epoch  7, Batch    583, Loss  0.859408, Average Loss  0.869967, Time  0.445786
2021-09-25 12:47:32.066707 : Epoch  7, Batch    927, Loss  0.864023, Average Loss  0.869315, Time  0.444817
2021-09-25 12:47:35.400932 : Epoch  7, Batch    584, Loss  0.860893, Average Loss  0.869956, Time  0.444877
2021-09-25 12:47:38.139058 : Epoch  7, Batch    928, Loss  0.879066, Average Loss  0.869375, Time  0.444465
2021-09-25 12:47:38.173301 : Saving Model after 7-th Epoch.
2021-09-25 12:47:38.998672 : Epoch Finished.
2021-09-25 12:47:41.436978 : Epoch  7, Batch    585, Loss  0.870643, Average Loss  0.869897, Time  0.448670
2021-09-25 12:47:44.638414 : Batch Shuffled
2021-09-25 12:47:47.506608 : Epoch  7, Batch    586, Loss  0.858581, Average Loss  0.869841, Time  0.460836
2021-09-25 12:47:50.742716 : Epoch  8, Batch      1, Loss  0.873042, Average Loss  0.869412, Time  0.446477
2021-09-25 12:47:53.541983 : Epoch  7, Batch    587, Loss  0.879759, Average Loss  0.869879, Time  0.444183
2021-09-25 12:47:56.821566 : Epoch  8, Batch      2, Loss  0.875919, Average Loss  0.869461, Time  0.446874
2021-09-25 12:47:59.550932 : Epoch  7, Batch    588, Loss  0.868160, Average Loss  0.869851, Time  0.444715
2021-09-25 12:48:02.936895 : Epoch  8, Batch      3, Loss  0.866828, Average Loss  0.869431, Time  0.447850
2021-09-25 12:48:05.623270 : Epoch  7, Batch    589, Loss  0.875366, Average Loss  0.869959, Time  0.450285
2021-09-25 12:48:09.040970 : Epoch  8, Batch      4, Loss  0.873483, Average Loss  0.869478, Time  0.453506
2021-09-25 12:48:11.686878 : Epoch  7, Batch    590, Loss  0.879870, Average Loss  0.869960, Time  0.450259
2021-09-25 12:48:17.733032 : Epoch  7, Batch    591, Loss  0.864988, Average Loss  0.869924, Time  0.445570
2021-09-25 12:48:23.788914 : Epoch  7, Batch    592, Loss  0.876510, Average Loss  0.869921, Time  0.446739
2021-09-25 12:48:29.851856 : Epoch  7, Batch    593, Loss  0.869151, Average Loss  0.869873, Time  0.454100
2021-09-25 12:48:35.885190 : Epoch  7, Batch    594, Loss  0.879964, Average Loss  0.869941, Time  0.444098
2021-09-25 12:48:41.912557 : Epoch  7, Batch    595, Loss  0.886289, Average Loss  0.869988, Time  0.444332
2021-09-25 12:48:47.969371 : Epoch  7, Batch    596, Loss  0.875443, Average Loss  0.869944, Time  0.447495
2021-09-25 12:48:54.030424 : Epoch  7, Batch    597, Loss  0.877387, Average Loss  0.869945, Time  0.444151
2021-09-25 12:49:00.056832 : Epoch  7, Batch    598, Loss  0.871909, Average Loss  0.869919, Time  0.445312
2021-09-25 12:49:06.145607 : Epoch  7, Batch    599, Loss  0.856799, Average Loss  0.869799, Time  0.444321
2021-09-25 12:49:12.179404 : Epoch  7, Batch    600, Loss  0.871740, Average Loss  0.869829, Time  0.444332
2021-09-25 12:49:18.250949 : Epoch  7, Batch    601, Loss  0.874761, Average Loss  0.869909, Time  0.457487
2021-09-25 12:49:24.290936 : Epoch  7, Batch    602, Loss  0.871075, Average Loss  0.869903, Time  0.444074
2021-09-25 12:49:30.324373 : Epoch  7, Batch    603, Loss  0.855565, Average Loss  0.869868, Time  0.445122
2021-09-25 12:49:36.389962 : Epoch  7, Batch    604, Loss  0.850246, Average Loss  0.869733, Time  0.444071
2021-09-25 12:49:42.427222 : Epoch  7, Batch    605, Loss  0.885965, Average Loss  0.869883, Time  0.445580
2021-09-25 12:49:48.511311 : Epoch  7, Batch    606, Loss  0.875118, Average Loss  0.869822, Time  0.446268
2021-09-25 12:49:54.562623 : Epoch  7, Batch    607, Loss  0.860959, Average Loss  0.869750, Time  0.444639
2021-09-25 12:50:00.638819 : Epoch  7, Batch    608, Loss  0.863452, Average Loss  0.869637, Time  0.457492
2021-09-25 12:50:06.699895 : Epoch  7, Batch    609, Loss  0.868741, Average Loss  0.869634, Time  0.444331
2021-09-25 12:50:12.752607 : Epoch  7, Batch    610, Loss  0.874740, Average Loss  0.869720, Time  0.445860
2021-09-25 12:50:18.802286 : Epoch  7, Batch    611, Loss  0.868557, Average Loss  0.869650, Time  0.443895
2021-09-25 12:50:24.893773 : Epoch  7, Batch    612, Loss  0.861361, Average Loss  0.869592, Time  0.445236
2021-09-25 12:50:30.941314 : Epoch  7, Batch    613, Loss  0.870004, Average Loss  0.869598, Time  0.445750
2021-09-25 12:50:37.040606 : Epoch  7, Batch    614, Loss  0.878626, Average Loss  0.869693, Time  0.444701
2021-09-25 12:50:43.087334 : Epoch  7, Batch    615, Loss  0.864943, Average Loss  0.869694, Time  0.443982
2021-09-25 12:50:49.180810 : Epoch  7, Batch    616, Loss  0.870656, Average Loss  0.869694, Time  0.458891
2021-09-25 12:50:55.217555 : Epoch  7, Batch    617, Loss  0.859261, Average Loss  0.869634, Time  0.445501
2021-09-25 12:51:01.262279 : Epoch  7, Batch    618, Loss  0.876521, Average Loss  0.869646, Time  0.445152
2021-09-25 12:51:07.310816 : Epoch  7, Batch    619, Loss  0.868984, Average Loss  0.869696, Time  0.445143
2021-09-25 12:51:13.359630 : Epoch  7, Batch    620, Loss  0.865760, Average Loss  0.869636, Time  0.444616
2021-09-25 12:51:19.401744 : Epoch  7, Batch    621, Loss  0.853587, Average Loss  0.869487, Time  0.444129
2021-09-25 12:51:25.445306 : Epoch  7, Batch    622, Loss  0.871120, Average Loss  0.869447, Time  0.448050
2021-09-25 12:51:31.500788 : Epoch  7, Batch    623, Loss  0.872052, Average Loss  0.869553, Time  0.457293
2021-09-25 12:51:37.561923 : Epoch  7, Batch    624, Loss  0.859838, Average Loss  0.869475, Time  0.445647
2021-09-25 12:51:43.629008 : Epoch  7, Batch    625, Loss  0.848947, Average Loss  0.869362, Time  0.444570
2021-09-25 12:51:49.669208 : Epoch  7, Batch    626, Loss  0.871092, Average Loss  0.869362, Time  0.447837
2021-09-25 12:51:55.716155 : Epoch  7, Batch    627, Loss  0.864638, Average Loss  0.869397, Time  0.443832
2021-09-25 12:52:01.753519 : Epoch  7, Batch    628, Loss  0.874609, Average Loss  0.869429, Time  0.445179
2021-09-25 12:52:07.814766 : Epoch  7, Batch    629, Loss  0.871059, Average Loss  0.869446, Time  0.444032
2021-09-25 12:52:13.854410 : Epoch  7, Batch    630, Loss  0.861555, Average Loss  0.869428, Time  0.444225
2021-09-25 12:52:19.961561 : Epoch  7, Batch    631, Loss  0.862394, Average Loss  0.869343, Time  0.455159
2021-09-25 12:52:26.051041 : Epoch  7, Batch    632, Loss  0.876507, Average Loss  0.869400, Time  0.444911
2021-09-25 12:52:55.250906 : CheckPoint: Validation Loss  0.00015264, Best Loss  0.00014804
2021-09-25 12:53:01.352628 : Epoch  8, Batch      5, Loss  0.870124, Average Loss  0.869489, Time  0.449509
2021-09-25 12:53:07.394610 : Epoch  8, Batch      6, Loss  0.874668, Average Loss  0.869560, Time  0.446798
2021-09-25 12:53:13.460269 : Epoch  8, Batch      7, Loss  0.864505, Average Loss  0.869528, Time  0.446265
2021-09-25 12:53:19.520080 : Epoch  8, Batch      8, Loss  0.873080, Average Loss  0.869561, Time  0.449085
2021-09-25 12:53:25.559602 : Epoch  8, Batch      9, Loss  0.853195, Average Loss  0.869547, Time  0.445057
2021-09-25 12:53:31.632792 : Epoch  8, Batch     10, Loss  0.897035, Average Loss  0.869708, Time  0.470830
2021-09-25 12:53:37.676726 : Epoch  8, Batch     11, Loss  0.868392, Average Loss  0.869749, Time  0.444685
2021-09-25 12:53:43.729787 : Epoch  8, Batch     12, Loss  0.876017, Average Loss  0.869780, Time  0.445950
2021-09-25 12:53:49.768803 : Epoch  8, Batch     13, Loss  0.853229, Average Loss  0.869704, Time  0.444774
2021-09-25 12:53:55.831891 : Epoch  8, Batch     14, Loss  0.877134, Average Loss  0.869758, Time  0.448862
2021-09-25 12:54:01.880558 : Epoch  8, Batch     15, Loss  0.868019, Average Loss  0.869774, Time  0.444860
2021-09-25 12:54:07.936086 : Epoch  8, Batch     16, Loss  0.864924, Average Loss  0.869760, Time  0.446745
2021-09-25 12:54:14.011751 : Epoch  8, Batch     17, Loss  0.856802, Average Loss  0.869728, Time  0.456357
2021-09-25 12:54:20.059337 : Epoch  8, Batch     18, Loss  0.874997, Average Loss  0.869747, Time  0.446098
2021-09-25 12:54:26.108653 : Epoch  8, Batch     19, Loss  0.878300, Average Loss  0.869768, Time  0.445119
2021-09-25 12:54:32.152150 : Epoch  8, Batch     20, Loss  0.872045, Average Loss  0.869820, Time  0.445415
2021-09-25 12:54:38.208172 : Epoch  8, Batch     21, Loss  0.877058, Average Loss  0.869813, Time  0.445637
2021-09-25 12:54:44.246675 : Epoch  8, Batch     22, Loss  0.851753, Average Loss  0.869797, Time  0.445187
2021-09-25 12:54:50.286160 : Epoch  8, Batch     23, Loss  0.876620, Average Loss  0.869886, Time  0.445410
2021-09-25 12:54:56.325227 : Epoch  8, Batch     24, Loss  0.869695, Average Loss  0.869911, Time  0.447362
2021-09-25 12:55:02.388594 : Epoch  8, Batch     25, Loss  0.874982, Average Loss  0.869867, Time  0.460030
2021-09-25 12:55:08.427047 : Epoch  8, Batch     26, Loss  0.856842, Average Loss  0.869757, Time  0.445586
2021-09-25 12:55:14.447996 : Epoch  8, Batch     27, Loss  0.870461, Average Loss  0.869684, Time  0.444330
2021-09-25 12:55:20.181274 : Epoch  8, Batch     28, Loss  0.865716, Average Loss  0.869612, Time  0.442184
2021-09-25 12:55:25.905485 : Epoch  8, Batch     29, Loss  0.872327, Average Loss  0.869559, Time  0.443987
2021-09-25 12:55:31.624069 : Epoch  8, Batch     30, Loss  0.873857, Average Loss  0.869574, Time  0.443333
2021-09-25 12:55:37.322947 : Epoch  8, Batch     31, Loss  0.881989, Average Loss  0.869629, Time  0.445242
2021-09-25 12:55:43.049406 : Epoch  8, Batch     32, Loss  0.882502, Average Loss  0.869686, Time  0.443678
2021-09-25 12:55:48.794522 : Epoch  8, Batch     33, Loss  0.875919, Average Loss  0.869682, Time  0.450010
2021-09-25 12:55:54.600687 : Epoch  8, Batch     34, Loss  0.855325, Average Loss  0.869575, Time  0.444161
2021-09-25 12:56:00.306482 : Epoch  8, Batch     35, Loss  0.872253, Average Loss  0.869549, Time  0.443039
2021-09-25 12:56:06.046334 : Epoch  8, Batch     36, Loss  0.856089, Average Loss  0.869490, Time  0.444346
2021-09-25 12:56:11.791474 : Epoch  8, Batch     37, Loss  0.860733, Average Loss  0.869502, Time  0.444583
2021-09-25 12:56:17.488482 : Epoch  8, Batch     38, Loss  0.859339, Average Loss  0.869465, Time  0.443125
2021-09-25 12:56:23.197041 : Epoch  8, Batch     39, Loss  0.863306, Average Loss  0.869415, Time  0.442553
2021-09-25 12:56:28.929738 : Epoch  8, Batch     40, Loss  0.876295, Average Loss  0.869415, Time  0.444174
2021-09-25 12:56:34.683882 : Epoch  8, Batch     41, Loss  0.872936, Average Loss  0.869451, Time  0.458035
2021-09-25 12:56:40.409763 : Epoch  8, Batch     42, Loss  0.868900, Average Loss  0.869396, Time  0.444638
2021-09-25 12:56:46.147688 : Epoch  8, Batch     43, Loss  0.854856, Average Loss  0.869211, Time  0.442974
2021-09-25 12:56:51.838944 : Epoch  8, Batch     44, Loss  0.876561, Average Loss  0.869281, Time  0.443594
2021-09-25 12:56:57.569546 : Epoch  8, Batch     45, Loss  0.862468, Average Loss  0.869219, Time  0.443929
2021-09-25 12:57:03.306041 : Epoch  8, Batch     46, Loss  0.878649, Average Loss  0.869220, Time  0.443645
2021-09-25 12:57:08.995692 : Epoch  8, Batch     47, Loss  0.873326, Average Loss  0.869273, Time  0.442568
2021-09-25 12:57:10.502079 : CheckPoint: Validation Loss  0.00015405, Best Loss  0.00014758
2021-09-25 12:57:14.717440 : Epoch  8, Batch     48, Loss  0.857071, Average Loss  0.869278, Time  0.444094
2021-09-25 12:57:16.395543 : Epoch  7, Batch    633, Loss  0.872157, Average Loss  0.869320, Time  0.444638
2021-09-25 12:57:20.491358 : Epoch  8, Batch     49, Loss  0.874929, Average Loss  0.869332, Time  0.455133
2021-09-25 12:57:22.129198 : Epoch  7, Batch    634, Loss  0.879385, Average Loss  0.869389, Time  0.443112
2021-09-25 12:57:26.213254 : Epoch  8, Batch     50, Loss  0.866935, Average Loss  0.869302, Time  0.442585
2021-09-25 12:57:27.957048 : Epoch  7, Batch    635, Loss  0.874648, Average Loss  0.869400, Time  0.443692
2021-09-25 12:57:31.959763 : Epoch  8, Batch     51, Loss  0.870434, Average Loss  0.869256, Time  0.443714
2021-09-25 12:57:33.952029 : Epoch  7, Batch    636, Loss  0.864058, Average Loss  0.869390, Time  0.460464
2021-09-25 12:57:37.679336 : Epoch  8, Batch     52, Loss  0.883951, Average Loss  0.869326, Time  0.442966
2021-09-25 12:57:39.792831 : Epoch  7, Batch    637, Loss  0.864273, Average Loss  0.869344, Time  0.455483
2021-09-25 12:57:43.458109 : Epoch  8, Batch     53, Loss  0.879742, Average Loss  0.869354, Time  0.443131
2021-09-25 12:57:45.573354 : Epoch  7, Batch    638, Loss  0.887122, Average Loss  0.869461, Time  0.443932
2021-09-25 12:57:49.177538 : Epoch  8, Batch     54, Loss  0.863271, Average Loss  0.869294, Time  0.443164
2021-09-25 12:57:51.404835 : Epoch  7, Batch    639, Loss  0.858577, Average Loss  0.869396, Time  0.443703
2021-09-25 12:57:54.921907 : Epoch  8, Batch     55, Loss  0.878523, Average Loss  0.869406, Time  0.443778
2021-09-25 12:57:57.146710 : Epoch  7, Batch    640, Loss  0.876337, Average Loss  0.869408, Time  0.442238
2021-09-25 12:58:00.618302 : Epoch  8, Batch     56, Loss  0.882175, Average Loss  0.869521, Time  0.443891
2021-09-25 12:58:02.966671 : Epoch  7, Batch    641, Loss  0.854060, Average Loss  0.869298, Time  0.443011
2021-09-25 12:58:06.331161 : Epoch  8, Batch     57, Loss  0.861085, Average Loss  0.869525, Time  0.452811
2021-09-25 12:58:08.788365 : Epoch  7, Batch    642, Loss  0.853959, Average Loss  0.869144, Time  0.443887
2021-09-25 12:58:11.995042 : Epoch  8, Batch     58, Loss  0.871139, Average Loss  0.869505, Time  0.443582
2021-09-25 12:58:14.646394 : Epoch  7, Batch    643, Loss  0.858620, Average Loss  0.869025, Time  0.443546
2021-09-25 12:58:17.700003 : Epoch  8, Batch     59, Loss  0.868360, Average Loss  0.869532, Time  0.444315
2021-09-25 12:58:20.587150 : Epoch  7, Batch    644, Loss  0.881173, Average Loss  0.869141, Time  0.482771
2021-09-25 12:58:23.399762 : Epoch  8, Batch     60, Loss  0.872718, Average Loss  0.869586, Time  0.443223
2021-09-25 12:58:26.610424 : Epoch  7, Batch    645, Loss  0.864079, Average Loss  0.869121, Time  0.467750
2021-09-25 12:58:29.109200 : Epoch  8, Batch     61, Loss  0.866414, Average Loss  0.869671, Time  0.443184
2021-09-25 12:58:32.625429 : Epoch  7, Batch    646, Loss  0.869728, Average Loss  0.869086, Time  0.466266
2021-09-25 12:58:34.818290 : Epoch  8, Batch     62, Loss  0.855921, Average Loss  0.869662, Time  0.444188
2021-09-25 12:58:38.624341 : Epoch  7, Batch    647, Loss  0.881790, Average Loss  0.869106, Time  0.465488
2021-09-25 12:58:40.607013 : Epoch  8, Batch     63, Loss  0.868121, Average Loss  0.869668, Time  0.442621
2021-09-25 12:58:44.587549 : Epoch  7, Batch    648, Loss  0.873370, Average Loss  0.869058, Time  0.465583
2021-09-25 12:58:46.385213 : Epoch  8, Batch     64, Loss  0.891274, Average Loss  0.869708, Time  0.444396
2021-09-25 12:58:50.563185 : Epoch  7, Batch    649, Loss  0.851992, Average Loss  0.868938, Time  0.445326
2021-09-25 12:58:52.111705 : Epoch  8, Batch     65, Loss  0.874226, Average Loss  0.869746, Time  0.451948
2021-09-25 12:58:56.615294 : Epoch  7, Batch    650, Loss  0.869753, Average Loss  0.868848, Time  0.467201
2021-09-25 12:58:57.839149 : Epoch  8, Batch     66, Loss  0.874703, Average Loss  0.869763, Time  0.443722
2021-09-25 12:59:02.563816 : Epoch  7, Batch    651, Loss  0.865312, Average Loss  0.868752, Time  0.466850
2021-09-25 12:59:03.611121 : Epoch  8, Batch     67, Loss  0.859837, Average Loss  0.869693, Time  0.443349
2021-09-25 12:59:08.429812 : Epoch  7, Batch    652, Loss  0.873055, Average Loss  0.868758, Time  0.477883
2021-09-25 12:59:09.458937 : Epoch  8, Batch     68, Loss  0.874003, Average Loss  0.869742, Time  0.442809
2021-09-25 12:59:14.397662 : Epoch  7, Batch    653, Loss  0.847243, Average Loss  0.868728, Time  0.468137
2021-09-25 12:59:15.212311 : Epoch  8, Batch     69, Loss  0.874381, Average Loss  0.869857, Time  0.443570
2021-09-25 12:59:20.361407 : Epoch  7, Batch    654, Loss  0.871373, Average Loss  0.868820, Time  0.467722
2021-09-25 12:59:20.988650 : Epoch  8, Batch     70, Loss  0.855428, Average Loss  0.869784, Time  0.444301
2021-09-25 12:59:26.348638 : Epoch  7, Batch    655, Loss  0.872785, Average Loss  0.868845, Time  0.466592
2021-09-25 12:59:26.737945 : Epoch  8, Batch     71, Loss  0.870008, Average Loss  0.869866, Time  0.444892
2021-09-25 12:59:32.354714 : Epoch  7, Batch    656, Loss  0.875268, Average Loss  0.868903, Time  0.468750
2021-09-25 12:59:32.454647 : Epoch  8, Batch     72, Loss  0.877943, Average Loss  0.869925, Time  0.443971
2021-09-25 12:59:38.154329 : Epoch  8, Batch     73, Loss  0.877345, Average Loss  0.869968, Time  0.457364
2021-09-25 12:59:38.401493 : Epoch  7, Batch    657, Loss  0.888510, Average Loss  0.868950, Time  0.466818
2021-09-25 12:59:43.928499 : Epoch  8, Batch     74, Loss  0.860157, Average Loss  0.869882, Time  0.443936
2021-09-25 12:59:44.384216 : Epoch  7, Batch    658, Loss  0.880303, Average Loss  0.868970, Time  0.468158
2021-09-25 12:59:49.663144 : Epoch  8, Batch     75, Loss  0.877211, Average Loss  0.869861, Time  0.444323
2021-09-25 12:59:50.362855 : Epoch  7, Batch    659, Loss  0.878459, Average Loss  0.869073, Time  0.466954
2021-09-25 12:59:55.477200 : Epoch  8, Batch     76, Loss  0.856138, Average Loss  0.869803, Time  0.443997
2021-09-25 12:59:56.464267 : Epoch  7, Batch    660, Loss  0.875544, Average Loss  0.869131, Time  0.457331
2021-09-25 13:00:01.410068 : Epoch  8, Batch     77, Loss  0.872637, Average Loss  0.869783, Time  0.444466
2021-09-25 13:00:02.232443 : Epoch  7, Batch    661, Loss  0.875537, Average Loss  0.869125, Time  0.446340
2021-09-25 13:00:07.196720 : Epoch  8, Batch     78, Loss  0.879130, Average Loss  0.869783, Time  0.445125
2021-09-25 13:00:08.201554 : Epoch  7, Batch    662, Loss  0.857734, Average Loss  0.869084, Time  0.445776
2021-09-25 13:00:13.118199 : Epoch  8, Batch     79, Loss  0.887073, Average Loss  0.869863, Time  0.446296
2021-09-25 13:00:14.163033 : Epoch  7, Batch    663, Loss  0.876518, Average Loss  0.869173, Time  0.445985
2021-09-25 13:00:18.906465 : Epoch  8, Batch     80, Loss  0.872728, Average Loss  0.869833, Time  0.444091
2021-09-25 13:00:20.143855 : Epoch  7, Batch    664, Loss  0.858016, Average Loss  0.869134, Time  0.444579
2021-09-25 13:00:24.827888 : Epoch  8, Batch     81, Loss  0.867123, Average Loss  0.869842, Time  0.457437
2021-09-25 13:00:26.070036 : Epoch  7, Batch    665, Loss  0.867895, Average Loss  0.869119, Time  0.446692
2021-09-25 13:00:30.652539 : Epoch  8, Batch     82, Loss  0.866357, Average Loss  0.869793, Time  0.444647
2021-09-25 13:00:32.251294 : Epoch  7, Batch    666, Loss  0.874778, Average Loss  0.869184, Time  0.450752
2021-09-25 13:00:36.442137 : Epoch  8, Batch     83, Loss  0.867311, Average Loss  0.869714, Time  0.445837
2021-09-25 13:00:38.380139 : Epoch  7, Batch    667, Loss  0.871943, Average Loss  0.869173, Time  0.469756
2021-09-25 13:00:42.275430 : Epoch  8, Batch     84, Loss  0.871966, Average Loss  0.869707, Time  0.445277
2021-09-25 13:00:44.578158 : Epoch  7, Batch    668, Loss  0.884393, Average Loss  0.869258, Time  0.486053
2021-09-25 13:00:48.107874 : Epoch  8, Batch     85, Loss  0.868600, Average Loss  0.869737, Time  0.443506
2021-09-25 13:00:50.638175 : Epoch  7, Batch    669, Loss  0.880004, Average Loss  0.869343, Time  0.444922
2021-09-25 13:00:53.930345 : Epoch  8, Batch     86, Loss  0.868264, Average Loss  0.869697, Time  0.444383
2021-09-25 13:00:56.552621 : Epoch  7, Batch    670, Loss  0.888209, Average Loss  0.869390, Time  0.445266
2021-09-25 13:00:59.768248 : Epoch  8, Batch     87, Loss  0.887958, Average Loss  0.869836, Time  0.445496
2021-09-25 13:01:02.491481 : Epoch  7, Batch    671, Loss  0.877123, Average Loss  0.869458, Time  0.446374
2021-09-25 13:01:05.696097 : Epoch  8, Batch     88, Loss  0.868874, Average Loss  0.869873, Time  0.444481
2021-09-25 13:01:08.459458 : Epoch  7, Batch    672, Loss  0.879432, Average Loss  0.869447, Time  0.446280
2021-09-25 13:01:11.511905 : Epoch  8, Batch     89, Loss  0.868633, Average Loss  0.869891, Time  0.451869
2021-09-25 13:01:14.304059 : Epoch  7, Batch    673, Loss  0.872846, Average Loss  0.869444, Time  0.446099
2021-09-25 13:01:17.364864 : Epoch  8, Batch     90, Loss  0.883655, Average Loss  0.869933, Time  0.444480
2021-09-25 13:01:20.265367 : Epoch  7, Batch    674, Loss  0.868418, Average Loss  0.869454, Time  0.446882
2021-09-25 13:01:23.186336 : Epoch  8, Batch     91, Loss  0.869015, Average Loss  0.869950, Time  0.444907
2021-09-25 13:01:26.363219 : Epoch  7, Batch    675, Loss  0.869747, Average Loss  0.869423, Time  0.469279
2021-09-25 13:01:28.978504 : Epoch  8, Batch     92, Loss  0.864508, Average Loss  0.869911, Time  0.443837
2021-09-25 13:01:32.505630 : Epoch  7, Batch    676, Loss  0.871605, Average Loss  0.869448, Time  0.477490
2021-09-25 13:01:34.789508 : Epoch  8, Batch     93, Loss  0.863130, Average Loss  0.869880, Time  0.445520
2021-09-25 13:01:38.625962 : Epoch  7, Batch    677, Loss  0.868839, Average Loss  0.869467, Time  0.470636
2021-09-25 13:01:40.609310 : Epoch  8, Batch     94, Loss  0.873744, Average Loss  0.869974, Time  0.444051
2021-09-25 13:01:44.791296 : Epoch  7, Batch    678, Loss  0.867317, Average Loss  0.869415, Time  0.469925
2021-09-25 13:01:46.418699 : Epoch  8, Batch     95, Loss  0.863316, Average Loss  0.869912, Time  0.444198
2021-09-25 13:01:50.895516 : Epoch  7, Batch    679, Loss  0.865286, Average Loss  0.869464, Time  0.467331
2021-09-25 13:01:52.285281 : Epoch  8, Batch     96, Loss  0.848035, Average Loss  0.869789, Time  0.444164
2021-09-25 13:01:57.039966 : Epoch  7, Batch    680, Loss  0.876285, Average Loss  0.869518, Time  0.470790
2021-09-25 13:01:58.120242 : Epoch  8, Batch     97, Loss  0.866936, Average Loss  0.869740, Time  0.452391
2021-09-25 13:02:03.156557 : Epoch  7, Batch    681, Loss  0.865603, Average Loss  0.869488, Time  0.468616
2021-09-25 13:02:03.948045 : Epoch  8, Batch     98, Loss  0.882067, Average Loss  0.869872, Time  0.446101
2021-09-25 13:02:09.231435 : Epoch  7, Batch    682, Loss  0.866795, Average Loss  0.869556, Time  0.469162
2021-09-25 13:02:09.786908 : Epoch  8, Batch     99, Loss  0.868916, Average Loss  0.869919, Time  0.444078
2021-09-25 13:02:15.279961 : Epoch  7, Batch    683, Loss  0.864466, Average Loss  0.869573, Time  0.452516
2021-09-25 13:02:15.657710 : Epoch  8, Batch    100, Loss  0.869445, Average Loss  0.869905, Time  0.445992
2021-09-25 13:02:21.159299 : Epoch  7, Batch    684, Loss  0.869657, Average Loss  0.869568, Time  0.445044
2021-09-25 13:02:21.535936 : Epoch  8, Batch    101, Loss  0.870271, Average Loss  0.869998, Time  0.444131
2021-09-25 13:02:27.078514 : Epoch  7, Batch    685, Loss  0.854590, Average Loss  0.869506, Time  0.444999
2021-09-25 13:02:27.352196 : Epoch  8, Batch    102, Loss  0.875546, Average Loss  0.869975, Time  0.445005
2021-09-25 13:02:33.011919 : Epoch  7, Batch    686, Loss  0.863232, Average Loss  0.869417, Time  0.446527
2021-09-25 13:02:33.113933 : Epoch  8, Batch    103, Loss  0.871541, Average Loss  0.869914, Time  0.443925
2021-09-25 13:02:38.922726 : Epoch  7, Batch    687, Loss  0.866848, Average Loss  0.869445, Time  0.446265
2021-09-25 13:02:38.944501 : Epoch  8, Batch    104, Loss  0.871071, Average Loss  0.869972, Time  0.445156
2021-09-25 13:02:44.970908 : Epoch  7, Batch    688, Loss  0.855286, Average Loss  0.869388, Time  0.446924
2021-09-25 13:02:50.903322 : Epoch  7, Batch    689, Loss  0.880310, Average Loss  0.869490, Time  0.446103
2021-09-25 13:02:56.803342 : Epoch  7, Batch    690, Loss  0.885747, Average Loss  0.869567, Time  0.445087
2021-09-25 13:03:02.736375 : Epoch  7, Batch    691, Loss  0.897165, Average Loss  0.869725, Time  0.452783
2021-09-25 13:03:08.651180 : Epoch  7, Batch    692, Loss  0.877528, Average Loss  0.869764, Time  0.447154
2021-09-25 13:03:14.618437 : Epoch  7, Batch    693, Loss  0.881075, Average Loss  0.869834, Time  0.445101
2021-09-25 13:03:20.567303 : Epoch  7, Batch    694, Loss  0.877784, Average Loss  0.869889, Time  0.445849
2021-09-25 13:03:26.477031 : Epoch  7, Batch    695, Loss  0.870648, Average Loss  0.869871, Time  0.444727
2021-09-25 13:03:32.410099 : Epoch  7, Batch    696, Loss  0.883403, Average Loss  0.869844, Time  0.445185
2021-09-25 13:03:38.520937 : Epoch  7, Batch    697, Loss  0.869894, Average Loss  0.869827, Time  0.470353
2021-09-25 13:03:44.547045 : Epoch  7, Batch    698, Loss  0.876829, Average Loss  0.869873, Time  0.443396
2021-09-25 13:03:50.627950 : Epoch  7, Batch    699, Loss  0.859265, Average Loss  0.869808, Time  0.483555
2021-09-25 13:03:56.751518 : Epoch  7, Batch    700, Loss  0.867145, Average Loss  0.869775, Time  0.477594
2021-09-25 13:04:02.833725 : Epoch  7, Batch    701, Loss  0.866889, Average Loss  0.869807, Time  0.446920
2021-09-25 13:04:08.786476 : Epoch  7, Batch    702, Loss  0.856594, Average Loss  0.869737, Time  0.445206
2021-09-25 13:04:14.733359 : Epoch  7, Batch    703, Loss  0.877974, Average Loss  0.869778, Time  0.444227
2021-09-25 13:04:20.661299 : Epoch  7, Batch    704, Loss  0.877612, Average Loss  0.869767, Time  0.444391
2021-09-25 13:04:26.580511 : Epoch  7, Batch    705, Loss  0.876308, Average Loss  0.869856, Time  0.445155
2021-09-25 13:04:32.742554 : Epoch  7, Batch    706, Loss  0.891564, Average Loss  0.869915, Time  0.483993
2021-09-25 13:04:38.743282 : Epoch  7, Batch    707, Loss  0.874399, Average Loss  0.869895, Time  0.445354
2021-09-25 13:04:44.670910 : Epoch  7, Batch    708, Loss  0.874482, Average Loss  0.869969, Time  0.446077
2021-09-25 13:04:50.604191 : Epoch  7, Batch    709, Loss  0.879600, Average Loss  0.869994, Time  0.444654
2021-09-25 13:04:56.730095 : Epoch  7, Batch    710, Loss  0.867181, Average Loss  0.869930, Time  0.447030
2021-09-25 13:05:02.677844 : Epoch  7, Batch    711, Loss  0.860768, Average Loss  0.869855, Time  0.446518
2021-09-25 13:05:08.555700 : Epoch  7, Batch    712, Loss  0.855079, Average Loss  0.869760, Time  0.444901
2021-09-25 13:05:14.491113 : Epoch  7, Batch    713, Loss  0.857397, Average Loss  0.869690, Time  0.445303
2021-09-25 13:05:20.436020 : Epoch  7, Batch    714, Loss  0.871289, Average Loss  0.869676, Time  0.453732
2021-09-25 13:05:26.348526 : Epoch  7, Batch    715, Loss  0.857130, Average Loss  0.869602, Time  0.444023
2021-09-25 13:05:32.266357 : Epoch  7, Batch    716, Loss  0.874143, Average Loss  0.869602, Time  0.443993
2021-09-25 13:05:38.146325 : Epoch  7, Batch    717, Loss  0.867773, Average Loss  0.869596, Time  0.444520
2021-09-25 13:05:44.256870 : Epoch  7, Batch    718, Loss  0.886301, Average Loss  0.869631, Time  0.469736
2021-09-25 13:05:50.311917 : Epoch  7, Batch    719, Loss  0.873094, Average Loss  0.869618, Time  0.443609
2021-09-25 13:05:56.224390 : Epoch  7, Batch    720, Loss  0.878512, Average Loss  0.869639, Time  0.444532
2021-09-25 13:06:02.054862 : Epoch  7, Batch    721, Loss  0.865801, Average Loss  0.869629, Time  0.443947
2021-09-25 13:06:08.006165 : Epoch  7, Batch    722, Loss  0.870789, Average Loss  0.869699, Time  0.457292
2021-09-25 13:06:13.944262 : Epoch  7, Batch    723, Loss  0.868380, Average Loss  0.869724, Time  0.444794
2021-09-25 13:06:19.814204 : Epoch  7, Batch    724, Loss  0.883684, Average Loss  0.869850, Time  0.444425
2021-09-25 13:06:25.631187 : Epoch  7, Batch    725, Loss  0.871491, Average Loss  0.869819, Time  0.444032
2021-09-25 13:06:31.588940 : Epoch  7, Batch    726, Loss  0.889646, Average Loss  0.869968, Time  0.445721
2021-09-25 13:06:37.719570 : Epoch  7, Batch    727, Loss  0.866011, Average Loss  0.869902, Time  0.470239
2021-09-25 13:06:43.883042 : Epoch  7, Batch    728, Loss  0.862697, Average Loss  0.869900, Time  0.472023
2021-09-25 13:06:49.996165 : Epoch  7, Batch    729, Loss  0.858455, Average Loss  0.869819, Time  0.480799
2021-09-25 13:06:56.141412 : Epoch  7, Batch    730, Loss  0.862978, Average Loss  0.869792, Time  0.446609
2021-09-25 13:07:02.237088 : Epoch  7, Batch    731, Loss  0.863228, Average Loss  0.869783, Time  0.444303
2021-09-25 13:07:08.007332 : Epoch  7, Batch    732, Loss  0.872563, Average Loss  0.869817, Time  0.443672
2021-09-25 13:07:16.055086 : CheckPoint: Validation Loss  0.00015270, Best Loss  0.00014804
2021-09-25 13:07:22.012991 : Epoch  8, Batch    105, Loss  0.869244, Average Loss  0.869937, Time  0.453935
2021-09-25 13:07:27.864868 : Epoch  8, Batch    106, Loss  0.872380, Average Loss  0.870021, Time  0.444200
2021-09-25 13:07:33.756418 : Epoch  8, Batch    107, Loss  0.871992, Average Loss  0.870076, Time  0.444480
2021-09-25 13:07:39.673170 : Epoch  8, Batch    108, Loss  0.877281, Average Loss  0.870047, Time  0.444792
2021-09-25 13:07:45.588787 : Epoch  8, Batch    109, Loss  0.884034, Average Loss  0.870145, Time  0.446180
2021-09-25 13:07:51.513837 : Epoch  8, Batch    110, Loss  0.866688, Average Loss  0.870111, Time  0.443908
2021-09-25 13:07:57.377531 : Epoch  8, Batch    111, Loss  0.867540, Average Loss  0.870160, Time  0.446223
2021-09-25 13:08:03.199045 : Epoch  8, Batch    112, Loss  0.861020, Average Loss  0.870075, Time  0.444098
2021-09-25 13:08:09.059911 : Epoch  8, Batch    113, Loss  0.878755, Average Loss  0.870156, Time  0.458222
2021-09-25 13:08:14.959202 : Epoch  8, Batch    114, Loss  0.867119, Average Loss  0.870187, Time  0.445718
2021-09-25 13:08:20.821150 : Epoch  8, Batch    115, Loss  0.868957, Average Loss  0.870166, Time  0.445626
2021-09-25 13:08:26.702424 : Epoch  8, Batch    116, Loss  0.882898, Average Loss  0.870270, Time  0.446016
2021-09-25 13:08:32.570047 : Epoch  8, Batch    117, Loss  0.890514, Average Loss  0.870383, Time  0.443713
2021-09-25 13:08:38.406097 : Epoch  8, Batch    118, Loss  0.851582, Average Loss  0.870320, Time  0.443757
2021-09-25 13:08:44.226980 : Epoch  8, Batch    119, Loss  0.876786, Average Loss  0.870402, Time  0.444331
2021-09-25 13:08:50.050694 : Epoch  8, Batch    120, Loss  0.853781, Average Loss  0.870320, Time  0.446690
2021-09-25 13:08:55.901410 : Epoch  8, Batch    121, Loss  0.870220, Average Loss  0.870335, Time  0.454978
2021-09-25 13:09:01.796826 : Epoch  8, Batch    122, Loss  0.866653, Average Loss  0.870361, Time  0.445035
2021-09-25 13:09:07.682336 : Epoch  8, Batch    123, Loss  0.882108, Average Loss  0.870305, Time  0.444816
2021-09-25 13:09:13.611610 : Epoch  8, Batch    124, Loss  0.860523, Average Loss  0.870248, Time  0.444453
2021-09-25 13:09:19.438791 : Epoch  8, Batch    125, Loss  0.874030, Average Loss  0.870329, Time  0.445601
2021-09-25 13:09:25.323728 : Epoch  8, Batch    126, Loss  0.868815, Average Loss  0.870323, Time  0.445513
2021-09-25 13:09:31.138628 : Epoch  8, Batch    127, Loss  0.868858, Average Loss  0.870253, Time  0.445738
2021-09-25 13:09:37.155669 : Epoch  8, Batch    128, Loss  0.854339, Average Loss  0.870213, Time  0.445487
2021-09-25 13:09:43.058054 : Epoch  8, Batch    129, Loss  0.870729, Average Loss  0.870259, Time  0.453771
2021-09-25 13:09:48.894328 : Epoch  8, Batch    130, Loss  0.863010, Average Loss  0.870214, Time  0.443640
2021-09-25 13:09:54.681005 : Epoch  8, Batch    131, Loss  0.857583, Average Loss  0.870213, Time  0.443977
2021-09-25 13:10:00.485592 : Epoch  8, Batch    132, Loss  0.873436, Average Loss  0.870243, Time  0.445064
2021-09-25 13:10:06.300470 : Epoch  8, Batch    133, Loss  0.854703, Average Loss  0.870091, Time  0.443934
2021-09-25 13:10:12.205428 : Epoch  8, Batch    134, Loss  0.865719, Average Loss  0.870031, Time  0.444922
2021-09-25 13:10:17.991256 : Epoch  8, Batch    135, Loss  0.877068, Average Loss  0.869977, Time  0.442942
2021-09-25 13:10:23.796672 : Epoch  8, Batch    136, Loss  0.871268, Average Loss  0.869940, Time  0.444204
2021-09-25 13:10:29.673789 : Epoch  8, Batch    137, Loss  0.870622, Average Loss  0.869900, Time  0.454305
2021-09-25 13:10:35.575281 : Epoch  8, Batch    138, Loss  0.852854, Average Loss  0.869838, Time  0.446213
2021-09-25 13:10:41.450269 : Epoch  8, Batch    139, Loss  0.877722, Average Loss  0.869883, Time  0.445012
2021-09-25 13:10:47.312291 : Epoch  8, Batch    140, Loss  0.869732, Average Loss  0.869946, Time  0.445820
2021-09-25 13:10:53.090360 : Epoch  8, Batch    141, Loss  0.882238, Average Loss  0.869928, Time  0.443314
2021-09-25 13:10:58.960917 : Epoch  8, Batch    142, Loss  0.866974, Average Loss  0.869912, Time  0.444160
2021-09-25 13:11:04.754692 : Epoch  8, Batch    143, Loss  0.894421, Average Loss  0.870025, Time  0.443596
2021-09-25 13:11:10.558856 : Epoch  8, Batch    144, Loss  0.861440, Average Loss  0.870076, Time  0.443621
2021-09-25 13:11:16.410173 : Epoch  8, Batch    145, Loss  0.878300, Average Loss  0.870147, Time  0.458340
2021-09-25 13:11:22.267136 : Epoch  8, Batch    146, Loss  0.864300, Average Loss  0.870160, Time  0.443622
2021-09-25 13:11:28.118848 : Epoch  8, Batch    147, Loss  0.871929, Average Loss  0.870142, Time  0.445776
2021-09-25 13:11:33.932164 : Epoch  8, Batch    148, Loss  0.864163, Average Loss  0.870122, Time  0.445130
2021-09-25 13:11:39.759569 : Epoch  8, Batch    149, Loss  0.862025, Average Loss  0.870075, Time  0.446148
2021-09-25 13:11:45.584728 : Epoch  8, Batch    150, Loss  0.872506, Average Loss  0.870065, Time  0.445474
2021-09-25 13:11:46.006510 : CheckPoint: Validation Loss  0.00014999, Best Loss  0.00014758
2021-09-25 13:11:51.505473 : Epoch  8, Batch    151, Loss  0.866775, Average Loss  0.870084, Time  0.445444
2021-09-25 13:11:51.852155 : Epoch  7, Batch    733, Loss  0.884197, Average Loss  0.869895, Time  0.443718
2021-09-25 13:11:57.333148 : Epoch  8, Batch    152, Loss  0.868059, Average Loss  0.870069, Time  0.444567
2021-09-25 13:11:57.855732 : Epoch  7, Batch    734, Loss  0.874616, Average Loss  0.869891, Time  0.446514
2021-09-25 13:12:03.183923 : Epoch  8, Batch    153, Loss  0.868334, Average Loss  0.870023, Time  0.458856
2021-09-25 13:12:03.746692 : Epoch  7, Batch    735, Loss  0.863607, Average Loss  0.869870, Time  0.444715
2021-09-25 13:12:08.968672 : Epoch  8, Batch    154, Loss  0.868026, Average Loss  0.869954, Time  0.446067
2021-09-25 13:12:09.653342 : Epoch  7, Batch    736, Loss  0.885707, Average Loss  0.869935, Time  0.443800
2021-09-25 13:12:14.833204 : Epoch  8, Batch    155, Loss  0.860777, Average Loss  0.869902, Time  0.444342
2021-09-25 13:12:15.608018 : Epoch  7, Batch    737, Loss  0.864657, Average Loss  0.869969, Time  0.462348
2021-09-25 13:12:20.610963 : Epoch  8, Batch    156, Loss  0.866100, Average Loss  0.869902, Time  0.445218
2021-09-25 13:12:21.546209 : Epoch  7, Batch    738, Loss  0.864736, Average Loss  0.869986, Time  0.445163
2021-09-25 13:12:26.471014 : Epoch  8, Batch    157, Loss  0.866705, Average Loss  0.869898, Time  0.443801
2021-09-25 13:12:27.466444 : Epoch  7, Batch    739, Loss  0.861699, Average Loss  0.870011, Time  0.444349
2021-09-25 13:12:32.276508 : Epoch  8, Batch    158, Loss  0.861122, Average Loss  0.869871, Time  0.444801
2021-09-25 13:12:33.578049 : Epoch  7, Batch    740, Loss  0.880724, Average Loss  0.870100, Time  0.448128
2021-09-25 13:12:38.102460 : Epoch  8, Batch    159, Loss  0.876163, Average Loss  0.869925, Time  0.446085
2021-09-25 13:12:39.597921 : Epoch  7, Batch    741, Loss  0.860065, Average Loss  0.870063, Time  0.444896
2021-09-25 13:12:44.004711 : Epoch  8, Batch    160, Loss  0.860395, Average Loss  0.869934, Time  0.446135
2021-09-25 13:12:45.455232 : Epoch  7, Batch    742, Loss  0.861016, Average Loss  0.870049, Time  0.446464
2021-09-25 13:12:49.894878 : Epoch  8, Batch    161, Loss  0.881995, Average Loss  0.869978, Time  0.453033
2021-09-25 13:12:51.622990 : Epoch  7, Batch    743, Loss  0.871757, Average Loss  0.870081, Time  0.446594
2021-09-25 13:12:55.746782 : Epoch  8, Batch    162, Loss  0.861436, Average Loss  0.869884, Time  0.445176
2021-09-25 13:12:57.581968 : Epoch  7, Batch    744, Loss  0.873035, Average Loss  0.870074, Time  0.460734
2021-09-25 13:13:01.569016 : Epoch  8, Batch    163, Loss  0.857179, Average Loss  0.869788, Time  0.444365
2021-09-25 13:13:03.489102 : Epoch  7, Batch    745, Loss  0.880081, Average Loss  0.870105, Time  0.445541
2021-09-25 13:13:07.419652 : Epoch  8, Batch    164, Loss  0.874556, Average Loss  0.869798, Time  0.444571
2021-09-25 13:13:09.409901 : Epoch  7, Batch    746, Loss  0.876791, Average Loss  0.870178, Time  0.444685
2021-09-25 13:13:13.223021 : Epoch  8, Batch    165, Loss  0.872064, Average Loss  0.869827, Time  0.443708
2021-09-25 13:13:15.374627 : Epoch  7, Batch    747, Loss  0.866265, Average Loss  0.870084, Time  0.446245
2021-09-25 13:13:19.060794 : Epoch  8, Batch    166, Loss  0.870447, Average Loss  0.869844, Time  0.445179
2021-09-25 13:13:21.328007 : Epoch  7, Batch    748, Loss  0.861320, Average Loss  0.869993, Time  0.444978
2021-09-25 13:13:24.879004 : Epoch  8, Batch    167, Loss  0.878433, Average Loss  0.869969, Time  0.445488
2021-09-25 13:13:27.263990 : Epoch  7, Batch    749, Loss  0.874745, Average Loss  0.870090, Time  0.446003
2021-09-25 13:13:30.798342 : Epoch  8, Batch    168, Loss  0.856273, Average Loss  0.869913, Time  0.444046
2021-09-25 13:13:33.165372 : Epoch  7, Batch    750, Loss  0.877203, Average Loss  0.870108, Time  0.446421
2021-09-25 13:13:36.652296 : Epoch  8, Batch    169, Loss  0.873083, Average Loss  0.869940, Time  0.456038
2021-09-25 13:13:39.010762 : Epoch  7, Batch    751, Loss  0.856157, Average Loss  0.870062, Time  0.447584
2021-09-25 13:13:42.587648 : Epoch  8, Batch    170, Loss  0.861917, Average Loss  0.869864, Time  0.443930
2021-09-25 13:13:44.940389 : Epoch  7, Batch    752, Loss  0.889179, Average Loss  0.870151, Time  0.456686
2021-09-25 13:13:48.411084 : Epoch  8, Batch    171, Loss  0.880325, Average Loss  0.869897, Time  0.443079
2021-09-25 13:13:50.869507 : Epoch  7, Batch    753, Loss  0.887231, Average Loss  0.870244, Time  0.445170
2021-09-25 13:13:54.250810 : Epoch  8, Batch    172, Loss  0.882135, Average Loss  0.869962, Time  0.443122
2021-09-25 13:13:56.799967 : Epoch  7, Batch    754, Loss  0.871498, Average Loss  0.870295, Time  0.444592
2021-09-25 13:14:00.124691 : Epoch  8, Batch    173, Loss  0.851741, Average Loss  0.869843, Time  0.443971
2021-09-25 13:14:02.675183 : Epoch  7, Batch    755, Loss  0.872000, Average Loss  0.870269, Time  0.444670
2021-09-25 13:14:06.049877 : Epoch  8, Batch    174, Loss  0.870155, Average Loss  0.869962, Time  0.443710
2021-09-25 13:14:08.548943 : Epoch  7, Batch    756, Loss  0.874453, Average Loss  0.870285, Time  0.445631
2021-09-25 13:14:11.889423 : Epoch  8, Batch    175, Loss  0.872014, Average Loss  0.870006, Time  0.444477
2021-09-25 13:14:14.453256 : Epoch  7, Batch    757, Loss  0.879847, Average Loss  0.870368, Time  0.444931
2021-09-25 13:14:17.729859 : Epoch  8, Batch    176, Loss  0.877203, Average Loss  0.870032, Time  0.444603
2021-09-25 13:14:20.593592 : Epoch  7, Batch    758, Loss  0.862985, Average Loss  0.870286, Time  0.470995
2021-09-25 13:14:23.573836 : Epoch  8, Batch    177, Loss  0.875320, Average Loss  0.870058, Time  0.459598
2021-09-25 13:14:26.753852 : Epoch  7, Batch    759, Loss  0.885938, Average Loss  0.870389, Time  0.470717
2021-09-25 13:14:29.403809 : Epoch  8, Batch    178, Loss  0.855151, Average Loss  0.869988, Time  0.443376
2021-09-25 13:14:32.892521 : Epoch  7, Batch    760, Loss  0.863415, Average Loss  0.870301, Time  0.457122
2021-09-25 13:14:35.229950 : Epoch  8, Batch    179, Loss  0.866795, Average Loss  0.869944, Time  0.444722
2021-09-25 13:14:38.832158 : Epoch  7, Batch    761, Loss  0.860693, Average Loss  0.870201, Time  0.445595
2021-09-25 13:14:41.083526 : Epoch  8, Batch    180, Loss  0.862999, Average Loss  0.869895, Time  0.445464
2021-09-25 13:14:44.927170 : Epoch  7, Batch    762, Loss  0.862560, Average Loss  0.870238, Time  0.470789
2021-09-25 13:14:46.937034 : Epoch  8, Batch    181, Loss  0.875601, Average Loss  0.869880, Time  0.446261
2021-09-25 13:14:50.963251 : Epoch  7, Batch    763, Loss  0.863745, Average Loss  0.870233, Time  0.445114
2021-09-25 13:14:52.819109 : Epoch  8, Batch    182, Loss  0.861526, Average Loss  0.869852, Time  0.445408
2021-09-25 13:14:56.857956 : Epoch  7, Batch    764, Loss  0.871446, Average Loss  0.870244, Time  0.446016
2021-09-25 13:14:58.673710 : Epoch  8, Batch    183, Loss  0.867639, Average Loss  0.869888, Time  0.443925
2021-09-25 13:15:02.754435 : Epoch  7, Batch    765, Loss  0.872658, Average Loss  0.870316, Time  0.445551
2021-09-25 13:15:04.555987 : Epoch  8, Batch    184, Loss  0.869578, Average Loss  0.869858, Time  0.444184
2021-09-25 13:15:08.662538 : Epoch  7, Batch    766, Loss  0.876555, Average Loss  0.870392, Time  0.443949
2021-09-25 13:15:10.417133 : Epoch  8, Batch    185, Loss  0.869043, Average Loss  0.869868, Time  0.456683
2021-09-25 13:15:14.791850 : Epoch  7, Batch    767, Loss  0.877825, Average Loss  0.870427, Time  0.485707
2021-09-25 13:15:16.310129 : Epoch  8, Batch    186, Loss  0.873047, Average Loss  0.869853, Time  0.445179
2021-09-25 13:15:20.806927 : Epoch  7, Batch    768, Loss  0.875961, Average Loss  0.870430, Time  0.468941
2021-09-25 13:15:22.291826 : Epoch  8, Batch    187, Loss  0.861367, Average Loss  0.869803, Time  0.445090
2021-09-25 13:15:26.718201 : Epoch  7, Batch    769, Loss  0.868853, Average Loss  0.870426, Time  0.444989
2021-09-25 13:15:28.176538 : Epoch  8, Batch    188, Loss  0.886615, Average Loss  0.869869, Time  0.445113
2021-09-25 13:15:32.862535 : Epoch  7, Batch    770, Loss  0.881429, Average Loss  0.870484, Time  0.470785
2021-09-25 13:15:34.041122 : Epoch  8, Batch    189, Loss  0.870714, Average Loss  0.869762, Time  0.444458
2021-09-25 13:15:39.019807 : Epoch  7, Batch    771, Loss  0.868374, Average Loss  0.870390, Time  0.469629
2021-09-25 13:15:39.871630 : Epoch  8, Batch    190, Loss  0.874123, Average Loss  0.869712, Time  0.445520
2021-09-25 13:15:45.123234 : Epoch  7, Batch    772, Loss  0.864085, Average Loss  0.870399, Time  0.443763
2021-09-25 13:15:45.758401 : Epoch  8, Batch    191, Loss  0.879467, Average Loss  0.869773, Time  0.445266
2021-09-25 13:15:51.244509 : Epoch  7, Batch    773, Loss  0.872517, Average Loss  0.870417, Time  0.470360
2021-09-25 13:15:51.570455 : Epoch  8, Batch    192, Loss  0.871890, Average Loss  0.869747, Time  0.444839
2021-09-25 13:15:57.366406 : Epoch  8, Batch    193, Loss  0.870448, Average Loss  0.869789, Time  0.456255
2021-09-25 13:15:57.395900 : Epoch  7, Batch    774, Loss  0.884987, Average Loss  0.870532, Time  0.449131
2021-09-25 13:16:03.195899 : Epoch  8, Batch    194, Loss  0.872340, Average Loss  0.869878, Time  0.445697
2021-09-25 13:16:03.349849 : Epoch  7, Batch    775, Loss  0.875002, Average Loss  0.870572, Time  0.454986
2021-09-25 13:16:09.078884 : Epoch  8, Batch    195, Loss  0.876412, Average Loss  0.869925, Time  0.447155
2021-09-25 13:16:09.225140 : Epoch  7, Batch    776, Loss  0.861947, Average Loss  0.870465, Time  0.444744
2021-09-25 13:16:15.034367 : Epoch  7, Batch    777, Loss  0.872574, Average Loss  0.870515, Time  0.444977
2021-09-25 13:16:15.064524 : Epoch  8, Batch    196, Loss  0.877837, Average Loss  0.869970, Time  0.447501
2021-09-25 13:16:20.928559 : Epoch  7, Batch    778, Loss  0.861132, Average Loss  0.870601, Time  0.446273
2021-09-25 13:16:20.959439 : Epoch  8, Batch    197, Loss  0.867776, Average Loss  0.869931, Time  0.445057
2021-09-25 13:16:26.772083 : Epoch  8, Batch    198, Loss  0.874662, Average Loss  0.869997, Time  0.444717
2021-09-25 13:16:26.855854 : Epoch  7, Batch    779, Loss  0.857180, Average Loss  0.870542, Time  0.445514
2021-09-25 13:16:32.620714 : Epoch  8, Batch    199, Loss  0.869225, Average Loss  0.870023, Time  0.444482
2021-09-25 13:16:32.788972 : Epoch  7, Batch    780, Loss  0.872107, Average Loss  0.870575, Time  0.445185
2021-09-25 13:16:38.432284 : Epoch  8, Batch    200, Loss  0.866341, Average Loss  0.869960, Time  0.445003
2021-09-25 13:16:38.710803 : Epoch  7, Batch    781, Loss  0.893207, Average Loss  0.870697, Time  0.443965
2021-09-25 13:16:44.361744 : Epoch  8, Batch    201, Loss  0.875358, Average Loss  0.869971, Time  0.456154
2021-09-25 13:16:44.593703 : Epoch  7, Batch    782, Loss  0.875061, Average Loss  0.870692, Time  0.446364
2021-09-25 13:16:50.381981 : Epoch  8, Batch    202, Loss  0.850106, Average Loss  0.869842, Time  0.447279
2021-09-25 13:16:50.414432 : Epoch  7, Batch    783, Loss  0.861220, Average Loss  0.870701, Time  0.459572
2021-09-25 13:16:56.259033 : Epoch  8, Batch    203, Loss  0.860321, Average Loss  0.869810, Time  0.445115
2021-09-25 13:16:56.316034 : Epoch  7, Batch    784, Loss  0.876947, Average Loss  0.870781, Time  0.444282
2021-09-25 13:17:02.091351 : Epoch  8, Batch    204, Loss  0.874257, Average Loss  0.869814, Time  0.445254
2021-09-25 13:17:02.265994 : Epoch  7, Batch    785, Loss  0.861487, Average Loss  0.870735, Time  0.445972
2021-09-25 13:17:08.189302 : Epoch  7, Batch    786, Loss  0.871557, Average Loss  0.870800, Time  0.445284
2021-09-25 13:17:14.144093 : Epoch  7, Batch    787, Loss  0.875710, Average Loss  0.870780, Time  0.444591
2021-09-25 13:17:20.290265 : Epoch  7, Batch    788, Loss  0.875365, Average Loss  0.870816, Time  0.470060
2021-09-25 13:17:26.423521 : Epoch  7, Batch    789, Loss  0.852689, Average Loss  0.870702, Time  0.469488
2021-09-25 13:17:32.499989 : Epoch  7, Batch    790, Loss  0.873482, Average Loss  0.870670, Time  0.446273
2021-09-25 13:17:38.623425 : Epoch  7, Batch    791, Loss  0.862982, Average Loss  0.870660, Time  0.453378
2021-09-25 13:17:44.546722 : Epoch  7, Batch    792, Loss  0.857961, Average Loss  0.870568, Time  0.444221
2021-09-25 13:17:50.681238 : Epoch  7, Batch    793, Loss  0.863037, Average Loss  0.870537, Time  0.470228
2021-09-25 13:17:56.819662 : Epoch  7, Batch    794, Loss  0.882649, Average Loss  0.870551, Time  0.471020
2021-09-25 13:18:02.919861 : Epoch  7, Batch    795, Loss  0.867656, Average Loss  0.870457, Time  0.468837
2021-09-25 13:18:09.040118 : Epoch  7, Batch    796, Loss  0.854230, Average Loss  0.870351, Time  0.444725
2021-09-25 13:18:14.928399 : Epoch  7, Batch    797, Loss  0.874986, Average Loss  0.870339, Time  0.445026
2021-09-25 13:18:21.021445 : Epoch  7, Batch    798, Loss  0.872651, Average Loss  0.870343, Time  0.457817
2021-09-25 13:18:26.971225 : Epoch  7, Batch    799, Loss  0.866525, Average Loss  0.870392, Time  0.445631
2021-09-25 13:18:32.923154 : Epoch  7, Batch    800, Loss  0.850278, Average Loss  0.870284, Time  0.444962
2021-09-25 13:18:39.038490 : Epoch  7, Batch    801, Loss  0.884314, Average Loss  0.870332, Time  0.470279
2021-09-25 13:18:45.145845 : Epoch  7, Batch    802, Loss  0.872171, Average Loss  0.870338, Time  0.469490
2021-09-25 13:18:50.997708 : Epoch  7, Batch    803, Loss  0.871217, Average Loss  0.870416, Time  0.445569
2021-09-25 13:18:57.124472 : Epoch  7, Batch    804, Loss  0.877249, Average Loss  0.870551, Time  0.447464
2021-09-25 13:19:03.070491 : Epoch  7, Batch    805, Loss  0.872787, Average Loss  0.870485, Time  0.443890
2021-09-25 13:19:08.984033 : Epoch  7, Batch    806, Loss  0.878802, Average Loss  0.870503, Time  0.457468
2021-09-25 13:19:14.859165 : Epoch  7, Batch    807, Loss  0.876710, Average Loss  0.870582, Time  0.444079
2021-09-25 13:19:20.727031 : Epoch  7, Batch    808, Loss  0.864293, Average Loss  0.870586, Time  0.444512
2021-09-25 13:19:26.582242 : Epoch  7, Batch    809, Loss  0.858691, Average Loss  0.870536, Time  0.445153
2021-09-25 13:19:32.456301 : Epoch  7, Batch    810, Loss  0.874826, Average Loss  0.870537, Time  0.445441
2021-09-25 13:19:38.529159 : Epoch  7, Batch    811, Loss  0.862760, Average Loss  0.870508, Time  0.470617
2021-09-25 13:19:44.439877 : Epoch  7, Batch    812, Loss  0.868463, Average Loss  0.870543, Time  0.446037
2021-09-25 13:19:50.331558 : Epoch  7, Batch    813, Loss  0.878810, Average Loss  0.870587, Time  0.445596
2021-09-25 13:19:56.264932 : Epoch  7, Batch    814, Loss  0.860945, Average Loss  0.870499, Time  0.457068
2021-09-25 13:20:02.166338 : Epoch  7, Batch    815, Loss  0.865437, Average Loss  0.870501, Time  0.445028
2021-09-25 13:20:08.084415 : Epoch  7, Batch    816, Loss  0.875244, Average Loss  0.870524, Time  0.445931
2021-09-25 13:20:14.012445 : Epoch  7, Batch    817, Loss  0.877025, Average Loss  0.870613, Time  0.444523
2021-09-25 13:20:19.986526 : Epoch  7, Batch    818, Loss  0.878112, Average Loss  0.870621, Time  0.444537
2021-09-25 13:20:25.933124 : Epoch  7, Batch    819, Loss  0.866551, Average Loss  0.870609, Time  0.445128
2021-09-25 13:20:31.846959 : Epoch  7, Batch    820, Loss  0.862001, Average Loss  0.870590, Time  0.445202
2021-09-25 13:20:37.802455 : Epoch  7, Batch    821, Loss  0.877782, Average Loss  0.870711, Time  0.445552
2021-09-25 13:20:43.727005 : Epoch  7, Batch    822, Loss  0.869696, Average Loss  0.870704, Time  0.461973
2021-09-25 13:20:49.858723 : Epoch  7, Batch    823, Loss  0.860058, Average Loss  0.870644, Time  0.446138
2021-09-25 13:20:55.778914 : Epoch  7, Batch    824, Loss  0.865402, Average Loss  0.870672, Time  0.444978
2021-09-25 13:21:01.691202 : Epoch  7, Batch    825, Loss  0.874316, Average Loss  0.870798, Time  0.445861
2021-09-25 13:21:07.654694 : Epoch  7, Batch    826, Loss  0.868878, Average Loss  0.870787, Time  0.447244
2021-09-25 13:21:13.557453 : Epoch  7, Batch    827, Loss  0.871505, Average Loss  0.870822, Time  0.442754
2021-09-25 13:21:19.515591 : Epoch  7, Batch    828, Loss  0.861801, Average Loss  0.870758, Time  0.445567
2021-09-25 13:21:25.493335 : Epoch  7, Batch    829, Loss  0.865837, Average Loss  0.870732, Time  0.445695
2021-09-25 13:21:31.627754 : Epoch  7, Batch    830, Loss  0.873934, Average Loss  0.870793, Time  0.464186
2021-09-25 13:21:37.917646 : Epoch  7, Batch    831, Loss  0.870793, Average Loss  0.870835, Time  0.447442
2021-09-25 13:21:39.497546 : CheckPoint: Validation Loss  0.00015216, Best Loss  0.00014804
2021-09-25 13:21:44.266152 : Epoch  7, Batch    832, Loss  0.870768, Average Loss  0.870807, Time  0.476107
2021-09-25 13:21:45.580819 : Epoch  8, Batch    205, Loss  0.876361, Average Loss  0.869845, Time  0.444273
2021-09-25 13:21:51.582594 : Epoch  8, Batch    206, Loss  0.863051, Average Loss  0.869787, Time  0.444038
2021-09-25 13:21:57.613943 : Epoch  8, Batch    207, Loss  0.880271, Average Loss  0.869866, Time  0.444616
2021-09-25 13:22:03.684832 : Epoch  8, Batch    208, Loss  0.868977, Average Loss  0.869845, Time  0.457183
2021-09-25 13:22:09.717879 : Epoch  8, Batch    209, Loss  0.865225, Average Loss  0.869905, Time  0.444790
2021-09-25 13:22:15.749411 : Epoch  8, Batch    210, Loss  0.865588, Average Loss  0.869748, Time  0.444874
2021-09-25 13:22:21.782840 : Epoch  8, Batch    211, Loss  0.861310, Average Loss  0.869713, Time  0.445985
2021-09-25 13:22:27.567862 : Epoch  8, Batch    212, Loss  0.864199, Average Loss  0.869654, Time  0.443141
2021-09-25 13:22:33.307029 : Epoch  8, Batch    213, Loss  0.862637, Average Loss  0.869701, Time  0.444425
2021-09-25 13:22:39.111978 : Epoch  8, Batch    214, Loss  0.864874, Average Loss  0.869639, Time  0.442691
2021-09-25 13:22:44.977128 : Epoch  8, Batch    215, Loss  0.885031, Average Loss  0.869724, Time  0.445577
2021-09-25 13:22:50.815924 : Epoch  8, Batch    216, Loss  0.855155, Average Loss  0.869675, Time  0.458358
2021-09-25 13:22:56.572853 : Epoch  8, Batch    217, Loss  0.869083, Average Loss  0.869737, Time  0.442894
2021-09-25 13:23:02.297367 : Epoch  8, Batch    218, Loss  0.878020, Average Loss  0.869752, Time  0.442415
2021-09-25 13:23:08.023025 : Epoch  8, Batch    219, Loss  0.869014, Average Loss  0.869706, Time  0.443198
2021-09-25 13:23:13.706361 : Epoch  8, Batch    220, Loss  0.865737, Average Loss  0.869674, Time  0.443352
2021-09-25 13:23:19.442978 : Epoch  8, Batch    221, Loss  0.878066, Average Loss  0.869679, Time  0.443336
2021-09-25 13:23:25.165015 : Epoch  8, Batch    222, Loss  0.856223, Average Loss  0.869701, Time  0.443395
2021-09-25 13:23:30.975819 : Epoch  8, Batch    223, Loss  0.876486, Average Loss  0.869701, Time  0.446626
2021-09-25 13:23:36.831170 : Epoch  8, Batch    224, Loss  0.872386, Average Loss  0.869714, Time  0.453307
2021-09-25 13:23:42.632788 : Epoch  8, Batch    225, Loss  0.871230, Average Loss  0.869695, Time  0.444345
2021-09-25 13:23:48.380695 : Epoch  8, Batch    226, Loss  0.875762, Average Loss  0.869790, Time  0.444661
2021-09-25 13:23:54.125624 : Epoch  8, Batch    227, Loss  0.866808, Average Loss  0.869772, Time  0.443610
2021-09-25 13:23:59.866938 : Epoch  8, Batch    228, Loss  0.856946, Average Loss  0.869728, Time  0.442757
2021-09-25 13:24:05.599849 : Epoch  8, Batch    229, Loss  0.884392, Average Loss  0.869788, Time  0.446915
2021-09-25 13:24:11.336250 : Epoch  8, Batch    230, Loss  0.867078, Average Loss  0.869754, Time  0.443237
2021-09-25 13:24:17.044744 : Epoch  8, Batch    231, Loss  0.877634, Average Loss  0.869733, Time  0.443299
2021-09-25 13:24:22.880080 : Epoch  8, Batch    232, Loss  0.862822, Average Loss  0.869634, Time  0.457523
2021-09-25 13:24:28.671579 : Epoch  8, Batch    233, Loss  0.866897, Average Loss  0.869589, Time  0.443813
2021-09-25 13:24:34.413716 : Epoch  8, Batch    234, Loss  0.876392, Average Loss  0.869694, Time  0.443812
2021-09-25 13:24:40.392880 : Epoch  8, Batch    235, Loss  0.853405, Average Loss  0.869600, Time  0.448090
2021-09-25 13:24:46.471576 : Epoch  8, Batch    236, Loss  0.881197, Average Loss  0.869726, Time  0.448802
2021-09-25 13:24:52.560351 : Epoch  8, Batch    237, Loss  0.865869, Average Loss  0.869751, Time  0.451020
2021-09-25 13:24:58.634117 : Epoch  8, Batch    238, Loss  0.881142, Average Loss  0.869860, Time  0.445117
2021-09-25 13:25:04.693410 : Epoch  8, Batch    239, Loss  0.876916, Average Loss  0.869928, Time  0.445591
2021-09-25 13:25:10.759054 : Epoch  8, Batch    240, Loss  0.854736, Average Loss  0.869821, Time  0.455203
2021-09-25 13:25:16.838199 : Epoch  8, Batch    241, Loss  0.876913, Average Loss  0.869841, Time  0.444942
2021-09-25 13:25:22.917726 : Epoch  8, Batch    242, Loss  0.877478, Average Loss  0.869883, Time  0.445213
2021-09-25 13:25:28.988225 : Epoch  8, Batch    243, Loss  0.870805, Average Loss  0.869963, Time  0.447131
2021-09-25 13:25:35.054128 : Epoch  8, Batch    244, Loss  0.859950, Average Loss  0.869880, Time  0.445266
2021-09-25 13:25:41.115662 : Epoch  8, Batch    245, Loss  0.869387, Average Loss  0.869915, Time  0.448288
2021-09-25 13:25:47.171072 : Epoch  8, Batch    246, Loss  0.863905, Average Loss  0.869841, Time  0.446052
2021-09-25 13:25:53.263574 : Epoch  8, Batch    247, Loss  0.871011, Average Loss  0.869829, Time  0.460246
2021-09-25 13:25:59.310968 : Epoch  8, Batch    248, Loss  0.872271, Average Loss  0.869905, Time  0.447606
2021-09-25 13:26:05.390771 : Epoch  8, Batch    249, Loss  0.864983, Average Loss  0.869856, Time  0.449718
2021-09-25 13:26:11.450138 : Epoch  8, Batch    250, Loss  0.869657, Average Loss  0.869869, Time  0.454985
2021-09-25 13:26:17.509909 : Epoch  8, Batch    251, Loss  0.871858, Average Loss  0.869876, Time  0.444990
2021-09-25 13:26:21.532572 : CheckPoint: Validation Loss  0.00015468, Best Loss  0.00014758
2021-09-25 13:26:23.567989 : Epoch  8, Batch    252, Loss  0.868290, Average Loss  0.869798, Time  0.445119
2021-09-25 13:26:27.556705 : Epoch  7, Batch    833, Loss  0.880580, Average Loss  0.870849, Time  0.468777
2021-09-25 13:26:29.636548 : Epoch  8, Batch    253, Loss  0.877379, Average Loss  0.869786, Time  0.449301
2021-09-25 13:26:33.652933 : Epoch  7, Batch    834, Loss  0.865973, Average Loss  0.870782, Time  0.473037
2021-09-25 13:26:35.752439 : Epoch  8, Batch    254, Loss  0.862429, Average Loss  0.869782, Time  0.476384
2021-09-25 13:26:39.723925 : Epoch  7, Batch    835, Loss  0.891518, Average Loss  0.870866, Time  0.444052
2021-09-25 13:26:41.819705 : Epoch  8, Batch    255, Loss  0.871020, Average Loss  0.869745, Time  0.455412
2021-09-25 13:26:45.736620 : Epoch  7, Batch    836, Loss  0.876268, Average Loss  0.870927, Time  0.444338
2021-09-25 13:26:47.891002 : Epoch  8, Batch    256, Loss  0.861987, Average Loss  0.869644, Time  0.446923
2021-09-25 13:26:51.782499 : Epoch  7, Batch    837, Loss  0.859139, Average Loss  0.870902, Time  0.454774
2021-09-25 13:26:53.951054 : Epoch  8, Batch    257, Loss  0.890773, Average Loss  0.869792, Time  0.448432
2021-09-25 13:26:57.797888 : Epoch  7, Batch    838, Loss  0.842227, Average Loss  0.870677, Time  0.446960
2021-09-25 13:26:59.997471 : Epoch  8, Batch    258, Loss  0.876998, Average Loss  0.869821, Time  0.444878
2021-09-25 13:27:03.828792 : Epoch  7, Batch    839, Loss  0.865261, Average Loss  0.870710, Time  0.445692
2021-09-25 13:27:06.035150 : Epoch  8, Batch    259, Loss  0.864601, Average Loss  0.869803, Time  0.445645
2021-09-25 13:27:09.835338 : Epoch  7, Batch    840, Loss  0.869651, Average Loss  0.870677, Time  0.444816
2021-09-25 13:27:12.092556 : Epoch  8, Batch    260, Loss  0.876047, Average Loss  0.869819, Time  0.448709
2021-09-25 13:27:15.853783 : Epoch  7, Batch    841, Loss  0.862620, Average Loss  0.870720, Time  0.444008
2021-09-25 13:27:18.129814 : Epoch  8, Batch    261, Loss  0.876915, Average Loss  0.869872, Time  0.444582
2021-09-25 13:27:21.864337 : Epoch  7, Batch    842, Loss  0.882032, Average Loss  0.870860, Time  0.444787
2021-09-25 13:27:24.183028 : Epoch  8, Batch    262, Loss  0.882505, Average Loss  0.870005, Time  0.460989
2021-09-25 13:27:27.890406 : Epoch  7, Batch    843, Loss  0.880052, Average Loss  0.870967, Time  0.475103
2021-09-25 13:27:30.222439 : Epoch  8, Batch    263, Loss  0.860168, Average Loss  0.869965, Time  0.446099
2021-09-25 13:27:33.893068 : Epoch  7, Batch    844, Loss  0.865080, Average Loss  0.870887, Time  0.444596
2021-09-25 13:27:36.260422 : Epoch  8, Batch    264, Loss  0.863219, Average Loss  0.869825, Time  0.450110
2021-09-25 13:27:39.899995 : Epoch  7, Batch    845, Loss  0.893836, Average Loss  0.871036, Time  0.453604
2021-09-25 13:27:42.304409 : Epoch  8, Batch    265, Loss  0.865971, Average Loss  0.869783, Time  0.446625
2021-09-25 13:27:46.432908 : Epoch  7, Batch    846, Loss  0.874176, Average Loss  0.871058, Time  0.448319
2021-09-25 13:27:48.348764 : Epoch  8, Batch    266, Loss  0.870707, Average Loss  0.869763, Time  0.447855
2021-09-25 13:27:52.986040 : Epoch  7, Batch    847, Loss  0.864503, Average Loss  0.870972, Time  0.446167
2021-09-25 13:27:54.392760 : Epoch  8, Batch    267, Loss  0.869726, Average Loss  0.869813, Time  0.444817
2021-09-25 13:27:59.141660 : Epoch  7, Batch    848, Loss  0.871225, Average Loss  0.870961, Time  0.445337
2021-09-25 13:28:00.430637 : Epoch  8, Batch    268, Loss  0.866654, Average Loss  0.869776, Time  0.445483
2021-09-25 13:28:05.438175 : Epoch  7, Batch    849, Loss  0.869179, Average Loss  0.871047, Time  0.445960
2021-09-25 13:28:06.480809 : Epoch  8, Batch    269, Loss  0.859231, Average Loss  0.869700, Time  0.446081
2021-09-25 13:28:11.631716 : Epoch  7, Batch    850, Loss  0.858837, Average Loss  0.870992, Time  0.448235
2021-09-25 13:28:12.514065 : Epoch  8, Batch    270, Loss  0.871377, Average Loss  0.869780, Time  0.461072
2021-09-25 13:28:17.838098 : Epoch  7, Batch    851, Loss  0.879955, Average Loss  0.871065, Time  0.452361
2021-09-25 13:28:18.566921 : Epoch  8, Batch    271, Loss  0.852874, Average Loss  0.869694, Time  0.446337
2021-09-25 13:28:24.521806 : Epoch  7, Batch    852, Loss  0.867096, Average Loss  0.871036, Time  0.540965
2021-09-25 13:28:24.651289 : Epoch  8, Batch    272, Loss  0.868276, Average Loss  0.869646, Time  0.446178
2021-09-25 13:28:30.702650 : Epoch  8, Batch    273, Loss  0.859639, Average Loss  0.869558, Time  0.449628
2021-09-25 13:28:31.047935 : Epoch  7, Batch    853, Loss  0.868874, Average Loss  0.871144, Time  0.454498
2021-09-25 13:28:36.754983 : Epoch  8, Batch    274, Loss  0.860103, Average Loss  0.869557, Time  0.446949
2021-09-25 13:28:37.410489 : Epoch  7, Batch    854, Loss  0.870338, Average Loss  0.871139, Time  0.462497
2021-09-25 13:28:42.813790 : Epoch  8, Batch    275, Loss  0.875730, Average Loss  0.869550, Time  0.444879
2021-09-25 13:28:43.660226 : Epoch  7, Batch    855, Loss  0.862718, Average Loss  0.871088, Time  0.444315
2021-09-25 13:28:48.846574 : Epoch  8, Batch    276, Loss  0.889893, Average Loss  0.869719, Time  0.446912
2021-09-25 13:28:49.833972 : Epoch  7, Batch    856, Loss  0.880117, Average Loss  0.871112, Time  0.444683
2021-09-25 13:28:54.893753 : Epoch  8, Batch    277, Loss  0.862353, Average Loss  0.869667, Time  0.445788
2021-09-25 13:28:55.963666 : Epoch  7, Batch    857, Loss  0.876403, Average Loss  0.871052, Time  0.445758
2021-09-25 13:29:00.949339 : Epoch  8, Batch    278, Loss  0.856504, Average Loss  0.869554, Time  0.459671
2021-09-25 13:29:02.101430 : Epoch  7, Batch    858, Loss  0.863176, Average Loss  0.870966, Time  0.444150
2021-09-25 13:29:06.975451 : Epoch  8, Batch    279, Loss  0.876104, Average Loss  0.869499, Time  0.445939
2021-09-25 13:29:08.209833 : Epoch  7, Batch    859, Loss  0.882928, Average Loss  0.870989, Time  0.444695
2021-09-25 13:29:13.022791 : Epoch  8, Batch    280, Loss  0.867736, Average Loss  0.869474, Time  0.445388
2021-09-25 13:29:14.302036 : Epoch  7, Batch    860, Loss  0.874741, Average Loss  0.870985, Time  0.455412
2021-09-25 13:29:19.078766 : Epoch  8, Batch    281, Loss  0.849893, Average Loss  0.869388, Time  0.444786
2021-09-25 13:29:20.375861 : Epoch  7, Batch    861, Loss  0.866323, Average Loss  0.870939, Time  0.449140
2021-09-25 13:29:25.112992 : Epoch  8, Batch    282, Loss  0.864004, Average Loss  0.869376, Time  0.447073
2021-09-25 13:29:26.476738 : Epoch  7, Batch    862, Loss  0.873056, Average Loss  0.871015, Time  0.444681
2021-09-25 13:29:31.170391 : Epoch  8, Batch    283, Loss  0.873971, Average Loss  0.869410, Time  0.449726
2021-09-25 13:29:32.586815 : Epoch  7, Batch    863, Loss  0.866254, Average Loss  0.870964, Time  0.445600
2021-09-25 13:29:37.209411 : Epoch  8, Batch    284, Loss  0.878641, Average Loss  0.869443, Time  0.447406
2021-09-25 13:29:38.648394 : Epoch  7, Batch    864, Loss  0.864418, Average Loss  0.870996, Time  0.444526
2021-09-25 13:29:43.258371 : Epoch  8, Batch    285, Loss  0.867609, Average Loss  0.869438, Time  0.458461
2021-09-25 13:29:44.717955 : Epoch  7, Batch    865, Loss  0.866944, Average Loss  0.870991, Time  0.444156
2021-09-25 13:29:49.290364 : Epoch  8, Batch    286, Loss  0.863161, Average Loss  0.869413, Time  0.446067
2021-09-25 13:29:50.780501 : Epoch  7, Batch    866, Loss  0.854900, Average Loss  0.870892, Time  0.444191
2021-09-25 13:29:55.328231 : Epoch  8, Batch    287, Loss  0.881776, Average Loss  0.869382, Time  0.447791
2021-09-25 13:29:56.861331 : Epoch  7, Batch    867, Loss  0.860271, Average Loss  0.870833, Time  0.461518
2021-09-25 13:30:01.381803 : Epoch  8, Batch    288, Loss  0.870747, Average Loss  0.869391, Time  0.445239
2021-09-25 13:30:02.905963 : Epoch  7, Batch    868, Loss  0.867240, Average Loss  0.870748, Time  0.444186
2021-09-25 13:30:07.413951 : Epoch  8, Batch    289, Loss  0.872805, Average Loss  0.869412, Time  0.448383
2021-09-25 13:30:08.996548 : Epoch  7, Batch    869, Loss  0.870323, Average Loss  0.870699, Time  0.444317
2021-09-25 13:30:13.452740 : Epoch  8, Batch    290, Loss  0.857930, Average Loss  0.869283, Time  0.447266
2021-09-25 13:30:15.058050 : Epoch  7, Batch    870, Loss  0.882415, Average Loss  0.870670, Time  0.444296
2021-09-25 13:30:19.490966 : Epoch  8, Batch    291, Loss  0.875377, Average Loss  0.869315, Time  0.448039
2021-09-25 13:30:21.152201 : Epoch  7, Batch    871, Loss  0.863403, Average Loss  0.870602, Time  0.447096
2021-09-25 13:30:25.535227 : Epoch  8, Batch    292, Loss  0.857605, Average Loss  0.869281, Time  0.445245
2021-09-25 13:30:27.198022 : Epoch  7, Batch    872, Loss  0.888815, Average Loss  0.870648, Time  0.444086
2021-09-25 13:30:31.589128 : Epoch  8, Batch    293, Loss  0.875124, Average Loss  0.869341, Time  0.456254
2021-09-25 13:30:33.312087 : Epoch  7, Batch    873, Loss  0.865741, Average Loss  0.870613, Time  0.444691
2021-09-25 13:30:37.641298 : Epoch  8, Batch    294, Loss  0.862735, Average Loss  0.869285, Time  0.445588
2021-09-25 13:30:39.411343 : Epoch  7, Batch    874, Loss  0.849138, Average Loss  0.870517, Time  0.447453
2021-09-25 13:30:43.692563 : Epoch  8, Batch    295, Loss  0.880970, Average Loss  0.869374, Time  0.448881
2021-09-25 13:30:45.471570 : Epoch  7, Batch    875, Loss  0.874623, Average Loss  0.870541, Time  0.460347
2021-09-25 13:30:49.730547 : Epoch  8, Batch    296, Loss  0.874746, Average Loss  0.869507, Time  0.445199
2021-09-25 13:30:51.531254 : Epoch  7, Batch    876, Loss  0.883325, Average Loss  0.870600, Time  0.444216
2021-09-25 13:30:55.768090 : Epoch  8, Batch    297, Loss  0.881440, Average Loss  0.869580, Time  0.447312
2021-09-25 13:30:57.591476 : Epoch  7, Batch    877, Loss  0.871182, Average Loss  0.870611, Time  0.448131
2021-09-25 13:31:01.790644 : Epoch  8, Batch    298, Loss  0.877478, Average Loss  0.869557, Time  0.446885
2021-09-25 13:31:03.628308 : Epoch  7, Batch    878, Loss  0.868618, Average Loss  0.870618, Time  0.444645
2021-09-25 13:31:07.819472 : Epoch  8, Batch    299, Loss  0.876029, Average Loss  0.869592, Time  0.445460
2021-09-25 13:31:09.675597 : Epoch  7, Batch    879, Loss  0.866015, Average Loss  0.870621, Time  0.444537
2021-09-25 13:31:13.872593 : Epoch  8, Batch    300, Loss  0.865656, Average Loss  0.869574, Time  0.459532
2021-09-25 13:31:15.721940 : Epoch  7, Batch    880, Loss  0.886257, Average Loss  0.870671, Time  0.445614
2021-09-25 13:31:19.933073 : Epoch  8, Batch    301, Loss  0.872672, Average Loss  0.869586, Time  0.448116
2021-09-25 13:31:21.779550 : Epoch  7, Batch    881, Loss  0.875708, Average Loss  0.870722, Time  0.445000
2021-09-25 13:31:25.977250 : Epoch  8, Batch    302, Loss  0.855815, Average Loss  0.869487, Time  0.445370
2021-09-25 13:31:27.839132 : Epoch  7, Batch    882, Loss  0.878891, Average Loss  0.870782, Time  0.456531
2021-09-25 13:31:32.014658 : Epoch  8, Batch    303, Loss  0.873743, Average Loss  0.869498, Time  0.445208
2021-09-25 13:31:33.941894 : Epoch  7, Batch    883, Loss  0.873023, Average Loss  0.870825, Time  0.445763
2021-09-25 13:31:38.063627 : Epoch  8, Batch    304, Loss  0.871177, Average Loss  0.869498, Time  0.455976
2021-09-25 13:31:40.025168 : Epoch  7, Batch    884, Loss  0.860206, Average Loss  0.870778, Time  0.446686
2021-09-25 13:31:46.061682 : Epoch  7, Batch    885, Loss  0.861588, Average Loss  0.870813, Time  0.444103
2021-09-25 13:31:52.119513 : Epoch  7, Batch    886, Loss  0.860551, Average Loss  0.870799, Time  0.444007
2021-09-25 13:31:58.148787 : Epoch  7, Batch    887, Loss  0.894680, Average Loss  0.870939, Time  0.443896
2021-09-25 13:32:04.199238 : Epoch  7, Batch    888, Loss  0.879996, Average Loss  0.871062, Time  0.444440
2021-09-25 13:32:10.231771 : Epoch  7, Batch    889, Loss  0.884207, Average Loss  0.871082, Time  0.446144
2021-09-25 13:32:16.323045 : Epoch  7, Batch    890, Loss  0.857780, Average Loss  0.870942, Time  0.461354
2021-09-25 13:32:22.361745 : Epoch  7, Batch    891, Loss  0.868053, Average Loss  0.870796, Time  0.444372
2021-09-25 13:32:28.408689 : Epoch  7, Batch    892, Loss  0.859502, Average Loss  0.870706, Time  0.444042
2021-09-25 13:32:34.488168 : Epoch  7, Batch    893, Loss  0.858724, Average Loss  0.870594, Time  0.454473
2021-09-25 13:32:40.552759 : Epoch  7, Batch    894, Loss  0.881742, Average Loss  0.870614, Time  0.444411
2021-09-25 13:32:46.597846 : Epoch  7, Batch    895, Loss  0.864681, Average Loss  0.870584, Time  0.445806
2021-09-25 13:32:52.632520 : Epoch  7, Batch    896, Loss  0.865712, Average Loss  0.870496, Time  0.445908
2021-09-25 13:32:58.674912 : Epoch  7, Batch    897, Loss  0.847946, Average Loss  0.870386, Time  0.443547
2021-09-25 13:33:04.768587 : Epoch  7, Batch    898, Loss  0.890096, Average Loss  0.870452, Time  0.461600
2021-09-25 13:33:10.849998 : Epoch  7, Batch    899, Loss  0.886107, Average Loss  0.870587, Time  0.444184
2021-09-25 13:33:16.909748 : Epoch  7, Batch    900, Loss  0.877095, Average Loss  0.870636, Time  0.444478
2021-09-25 13:33:22.981729 : Epoch  7, Batch    901, Loss  0.877017, Average Loss  0.870687, Time  0.446133
2021-09-25 13:33:29.041404 : Epoch  7, Batch    902, Loss  0.878766, Average Loss  0.870798, Time  0.446662
2021-09-25 13:33:35.109790 : Epoch  7, Batch    903, Loss  0.860338, Average Loss  0.870710, Time  0.443659
2021-09-25 13:33:41.141627 : Epoch  7, Batch    904, Loss  0.874063, Average Loss  0.870692, Time  0.443734
2021-09-25 13:33:47.184735 : Epoch  7, Batch    905, Loss  0.868394, Average Loss  0.870652, Time  0.457095
2021-09-25 13:33:53.244777 : Epoch  7, Batch    906, Loss  0.872441, Average Loss  0.870557, Time  0.445976
2021-09-25 13:33:59.309918 : Epoch  7, Batch    907, Loss  0.869432, Average Loss  0.870532, Time  0.444731
2021-09-25 13:34:05.359265 : Epoch  7, Batch    908, Loss  0.865022, Average Loss  0.870485, Time  0.444940
2021-09-25 13:34:11.461526 : Epoch  7, Batch    909, Loss  0.858231, Average Loss  0.870378, Time  0.444684
2021-09-25 13:34:17.533536 : Epoch  7, Batch    910, Loss  0.865830, Average Loss  0.870371, Time  0.443801
2021-09-25 13:34:23.610467 : Epoch  7, Batch    911, Loss  0.877841, Average Loss  0.870456, Time  0.456632
2021-09-25 13:34:29.672392 : Epoch  7, Batch    912, Loss  0.847642, Average Loss  0.870419, Time  0.447332
2021-09-25 13:34:35.790825 : Epoch  7, Batch    913, Loss  0.855995, Average Loss  0.870412, Time  0.462610
2021-09-25 13:34:41.859833 : Epoch  7, Batch    914, Loss  0.875409, Average Loss  0.870433, Time  0.447064
2021-09-25 13:34:47.925609 : Epoch  7, Batch    915, Loss  0.864891, Average Loss  0.870472, Time  0.447898
2021-09-25 13:34:53.971186 : Epoch  7, Batch    916, Loss  0.868780, Average Loss  0.870445, Time  0.444152
2021-09-25 13:35:00.022317 : Epoch  7, Batch    917, Loss  0.874324, Average Loss  0.870478, Time  0.447858
2021-09-25 13:35:06.083968 : Epoch  7, Batch    918, Loss  0.869063, Average Loss  0.870391, Time  0.444862
2021-09-25 13:35:12.139894 : Epoch  7, Batch    919, Loss  0.868450, Average Loss  0.870368, Time  0.448109
2021-09-25 13:35:18.251858 : Epoch  7, Batch    920, Loss  0.857398, Average Loss  0.870263, Time  0.458747
2021-09-25 13:35:24.309804 : Epoch  7, Batch    921, Loss  0.850631, Average Loss  0.870187, Time  0.444756
2021-09-25 13:35:30.364186 : Epoch  7, Batch    922, Loss  0.870671, Average Loss  0.870186, Time  0.449202
2021-09-25 13:35:36.414871 : Epoch  7, Batch    923, Loss  0.867917, Average Loss  0.870184, Time  0.445070
2021-09-25 13:35:42.472864 : Epoch  7, Batch    924, Loss  0.855799, Average Loss  0.870044, Time  0.445459
2021-09-25 13:35:48.523322 : Epoch  7, Batch    925, Loss  0.870018, Average Loss  0.870037, Time  0.443916
2021-09-25 13:35:54.586281 : Epoch  7, Batch    926, Loss  0.861773, Average Loss  0.869898, Time  0.445924
2021-09-25 13:36:00.633880 : Epoch  7, Batch    927, Loss  0.867924, Average Loss  0.869907, Time  0.446520
2021-09-25 13:36:06.713607 : Epoch  7, Batch    928, Loss  0.864090, Average Loss  0.869914, Time  0.459247
2021-09-25 13:36:06.743975 : Saving Model after 7-th Epoch.
2021-09-25 13:36:07.474637 : Epoch Finished.
2021-09-25 13:36:13.214167 : Batch Shuffled
2021-09-25 13:36:19.244935 : Epoch  8, Batch      1, Loss  0.863180, Average Loss  0.869938, Time  0.446557
2021-09-25 13:36:23.057713 : CheckPoint: Validation Loss  0.00015098, Best Loss  0.00014804
2021-09-25 13:36:25.239027 : Epoch  8, Batch      2, Loss  0.873246, Average Loss  0.869989, Time  0.444896
2021-09-25 13:36:29.121778 : Epoch  8, Batch    305, Loss  0.875387, Average Loss  0.869529, Time  0.445361
2021-09-25 13:36:31.223909 : Epoch  8, Batch      3, Loss  0.860934, Average Loss  0.869978, Time  0.445280
2021-09-25 13:36:35.209885 : Epoch  8, Batch    306, Loss  0.885908, Average Loss  0.869597, Time  0.458644
2021-09-25 13:36:37.218493 : Epoch  8, Batch      4, Loss  0.875138, Average Loss  0.869991, Time  0.444971
2021-09-25 13:36:41.297033 : Epoch  8, Batch    307, Loss  0.867273, Average Loss  0.869573, Time  0.447648
2021-09-25 13:36:47.382932 : Epoch  8, Batch    308, Loss  0.881211, Average Loss  0.869593, Time  0.444988
2021-09-25 13:36:53.442918 : Epoch  8, Batch    309, Loss  0.861307, Average Loss  0.869479, Time  0.445866
2021-09-25 13:36:59.506852 : Epoch  8, Batch    310, Loss  0.870554, Average Loss  0.869499, Time  0.448333
2021-09-25 13:37:05.572314 : Epoch  8, Batch    311, Loss  0.861015, Average Loss  0.869466, Time  0.447228
2021-09-25 13:37:11.644178 : Epoch  8, Batch    312, Loss  0.870117, Average Loss  0.869511, Time  0.446285
2021-09-25 13:37:17.703133 : Epoch  8, Batch    313, Loss  0.857820, Average Loss  0.869407, Time  0.447202
2021-09-25 13:37:23.762734 : Epoch  8, Batch    314, Loss  0.876267, Average Loss  0.869452, Time  0.459749
2021-09-25 13:37:29.836505 : Epoch  8, Batch    315, Loss  0.871686, Average Loss  0.869466, Time  0.451829
2021-09-25 13:37:35.920756 : Epoch  8, Batch    316, Loss  0.873170, Average Loss  0.869417, Time  0.449881
2021-09-25 13:37:41.985539 : Epoch  8, Batch    317, Loss  0.872358, Average Loss  0.869327, Time  0.445246
2021-09-25 13:37:48.036398 : Epoch  8, Batch    318, Loss  0.861863, Average Loss  0.869378, Time  0.444974
2021-09-25 13:37:54.081777 : Epoch  8, Batch    319, Loss  0.866542, Average Loss  0.869327, Time  0.445337
2021-09-25 13:38:00.132803 : Epoch  8, Batch    320, Loss  0.877650, Average Loss  0.869446, Time  0.446362
2021-09-25 13:38:06.231915 : Epoch  8, Batch    321, Loss  0.864000, Average Loss  0.869415, Time  0.464326
2021-09-25 13:38:12.312217 : Epoch  8, Batch    322, Loss  0.857729, Average Loss  0.869370, Time  0.447408
2021-09-25 13:38:18.379991 : Epoch  8, Batch    323, Loss  0.879440, Average Loss  0.869357, Time  0.444810
2021-09-25 13:38:24.445613 : Epoch  8, Batch    324, Loss  0.865559, Average Loss  0.869382, Time  0.445520
2021-09-25 13:38:30.501284 : Epoch  8, Batch    325, Loss  0.861088, Average Loss  0.869318, Time  0.445596
2021-09-25 13:38:36.560311 : Epoch  8, Batch    326, Loss  0.866878, Average Loss  0.869308, Time  0.447207
2021-09-25 13:38:42.614822 : Epoch  8, Batch    327, Loss  0.871119, Average Loss  0.869319, Time  0.444874
2021-09-25 13:38:48.680810 : Epoch  8, Batch    328, Loss  0.862966, Average Loss  0.869362, Time  0.445256
2021-09-25 13:38:54.762490 : Epoch  8, Batch    329, Loss  0.870191, Average Loss  0.869360, Time  0.458441
2021-09-25 13:39:00.843185 : Epoch  8, Batch    330, Loss  0.869164, Average Loss  0.869390, Time  0.448333
2021-09-25 13:39:06.900606 : Epoch  8, Batch    331, Loss  0.874723, Average Loss  0.869476, Time  0.447890
2021-09-25 13:39:12.950841 : Epoch  8, Batch    332, Loss  0.867881, Average Loss  0.869448, Time  0.446408
2021-09-25 13:39:19.018886 : Epoch  8, Batch    333, Loss  0.867158, Average Loss  0.869511, Time  0.447912
2021-09-25 13:39:25.092763 : Epoch  8, Batch    334, Loss  0.862698, Average Loss  0.869496, Time  0.448004
2021-09-25 13:39:31.146471 : Epoch  8, Batch    335, Loss  0.866917, Average Loss  0.869445, Time  0.445647
2021-09-25 13:39:37.232977 : Epoch  8, Batch    336, Loss  0.868363, Average Loss  0.869430, Time  0.455406
2021-09-25 13:39:43.316951 : Epoch  8, Batch    337, Loss  0.854493, Average Loss  0.869350, Time  0.445191
2021-09-25 13:39:49.376572 : Epoch  8, Batch    338, Loss  0.864343, Average Loss  0.869407, Time  0.446549
2021-09-25 13:39:55.436853 : Epoch  8, Batch    339, Loss  0.872562, Average Loss  0.869381, Time  0.445303
2021-09-25 13:40:01.486433 : Epoch  8, Batch    340, Loss  0.859388, Average Loss  0.869330, Time  0.446029
2021-09-25 13:40:07.559458 : Epoch  8, Batch    341, Loss  0.880955, Average Loss  0.869323, Time  0.445248
2021-09-25 13:40:13.635776 : Epoch  8, Batch    342, Loss  0.878619, Average Loss  0.869381, Time  0.445303
2021-09-25 13:40:19.703936 : Epoch  8, Batch    343, Loss  0.871372, Average Loss  0.869266, Time  0.445521
2021-09-25 13:40:25.783920 : Epoch  8, Batch    344, Loss  0.870715, Average Loss  0.869312, Time  0.460309
2021-09-25 13:40:31.856082 : Epoch  8, Batch    345, Loss  0.875133, Average Loss  0.869297, Time  0.444921
2021-09-25 13:40:37.933656 : Epoch  8, Batch    346, Loss  0.856582, Average Loss  0.869258, Time  0.448349
2021-09-25 13:40:43.996251 : Epoch  8, Batch    347, Loss  0.856751, Average Loss  0.869182, Time  0.444960
2021-09-25 13:40:50.046632 : Epoch  8, Batch    348, Loss  0.881479, Average Loss  0.869269, Time  0.446739
2021-09-25 13:40:56.098648 : Epoch  8, Batch    349, Loss  0.878616, Average Loss  0.869352, Time  0.444558
2021-09-25 13:41:02.172852 : Epoch  8, Batch    350, Loss  0.871378, Average Loss  0.869346, Time  0.450189
2021-09-25 13:41:08.251903 : Epoch  8, Batch    351, Loss  0.870999, Average Loss  0.869367, Time  0.459823
2021-09-25 13:41:14.292752 : Epoch  8, Batch    352, Loss  0.869627, Average Loss  0.869375, Time  0.447425
2021-09-25 13:41:19.894189 : CheckPoint: Validation Loss  0.00015228, Best Loss  0.00014758
2021-09-25 13:41:20.345527 : Epoch  8, Batch    353, Loss  0.860995, Average Loss  0.869338, Time  0.445907
2021-09-25 13:41:25.882986 : Epoch  8, Batch      5, Loss  0.880309, Average Loss  0.869971, Time  0.462688
2021-09-25 13:41:26.388549 : Epoch  8, Batch    354, Loss  0.862501, Average Loss  0.869311, Time  0.445632
2021-09-25 13:41:31.865642 : Epoch  8, Batch      6, Loss  0.871581, Average Loss  0.869956, Time  0.444557
2021-09-25 13:41:32.464666 : Epoch  8, Batch    355, Loss  0.856359, Average Loss  0.869289, Time  0.446759
2021-09-25 13:41:37.843565 : Epoch  8, Batch      7, Loss  0.869870, Average Loss  0.869987, Time  0.444716
2021-09-25 13:41:38.521155 : Epoch  8, Batch    356, Loss  0.865073, Average Loss  0.869283, Time  0.445785
2021-09-25 13:41:43.810073 : Epoch  8, Batch      8, Loss  0.867213, Average Loss  0.869895, Time  0.443757
2021-09-25 13:41:44.584033 : Epoch  8, Batch    357, Loss  0.869981, Average Loss  0.869300, Time  0.447063
2021-09-25 13:41:49.795648 : Epoch  8, Batch      9, Loss  0.852685, Average Loss  0.869835, Time  0.445027
2021-09-25 13:41:50.628935 : Epoch  8, Batch    358, Loss  0.861173, Average Loss  0.869300, Time  0.445869
2021-09-25 13:41:55.815271 : Epoch  8, Batch     10, Loss  0.878161, Average Loss  0.869902, Time  0.449407
2021-09-25 13:41:56.714412 : Epoch  8, Batch    359, Loss  0.849671, Average Loss  0.869168, Time  0.460093
2021-09-25 13:42:01.792166 : Epoch  8, Batch     11, Loss  0.871842, Average Loss  0.869953, Time  0.445082
2021-09-25 13:42:02.769416 : Epoch  8, Batch    360, Loss  0.875459, Average Loss  0.869243, Time  0.447293
2021-09-25 13:42:07.768616 : Epoch  8, Batch     12, Loss  0.873666, Average Loss  0.869917, Time  0.444489
2021-09-25 13:42:08.845622 : Epoch  8, Batch    361, Loss  0.882073, Average Loss  0.869243, Time  0.444980
2021-09-25 13:42:13.767809 : Epoch  8, Batch     13, Loss  0.863928, Average Loss  0.869937, Time  0.452139
2021-09-25 13:42:14.933489 : Epoch  8, Batch    362, Loss  0.856372, Average Loss  0.869218, Time  0.445311
2021-09-25 13:42:19.758895 : Epoch  8, Batch     14, Loss  0.849433, Average Loss  0.869879, Time  0.444271
2021-09-25 13:42:21.002830 : Epoch  8, Batch    363, Loss  0.866776, Average Loss  0.869266, Time  0.447889
2021-09-25 13:42:25.753192 : Epoch  8, Batch     15, Loss  0.870832, Average Loss  0.869874, Time  0.450950
2021-09-25 13:42:27.068780 : Epoch  8, Batch    364, Loss  0.876399, Average Loss  0.869275, Time  0.445412
2021-09-25 13:42:31.749651 : Epoch  8, Batch     16, Loss  0.870774, Average Loss  0.869863, Time  0.447891
2021-09-25 13:42:33.134635 : Epoch  8, Batch    365, Loss  0.874978, Average Loss  0.869290, Time  0.445128
2021-09-25 13:42:37.744092 : Epoch  8, Batch     17, Loss  0.877939, Average Loss  0.869852, Time  0.449295
2021-09-25 13:42:39.244349 : Epoch  8, Batch    366, Loss  0.850521, Average Loss  0.869190, Time  0.455490
2021-09-25 13:42:43.742216 : Epoch  8, Batch     18, Loss  0.867878, Average Loss  0.869808, Time  0.445065
2021-09-25 13:42:45.311294 : Epoch  8, Batch    367, Loss  0.879160, Average Loss  0.869194, Time  0.447551
2021-09-25 13:42:49.736410 : Epoch  8, Batch     19, Loss  0.867961, Average Loss  0.869816, Time  0.444808
2021-09-25 13:42:51.412169 : Epoch  8, Batch    368, Loss  0.882048, Average Loss  0.869323, Time  0.446764
2021-09-25 13:42:55.734905 : Epoch  8, Batch     20, Loss  0.886791, Average Loss  0.869944, Time  0.455969
2021-09-25 13:42:57.483826 : Epoch  8, Batch    369, Loss  0.859071, Average Loss  0.869253, Time  0.445327
2021-09-25 13:43:01.734609 : Epoch  8, Batch     21, Loss  0.861420, Average Loss  0.869877, Time  0.445455
2021-09-25 13:43:03.544605 : Epoch  8, Batch    370, Loss  0.865739, Average Loss  0.869272, Time  0.447020
2021-09-25 13:43:07.731699 : Epoch  8, Batch     22, Loss  0.860064, Average Loss  0.869791, Time  0.445055
2021-09-25 13:43:09.614910 : Epoch  8, Batch    371, Loss  0.868934, Average Loss  0.869215, Time  0.446840
2021-09-25 13:43:13.734275 : Epoch  8, Batch     23, Loss  0.889817, Average Loss  0.869959, Time  0.446389
2021-09-25 13:43:15.676444 : Epoch  8, Batch    372, Loss  0.865770, Average Loss  0.869133, Time  0.448850
2021-09-25 13:43:19.742060 : Epoch  8, Batch     24, Loss  0.879954, Average Loss  0.869913, Time  0.444342
2021-09-25 13:43:21.763802 : Epoch  8, Batch    373, Loss  0.870811, Average Loss  0.869228, Time  0.446018
2021-09-25 13:43:25.739712 : Epoch  8, Batch     25, Loss  0.872888, Average Loss  0.869842, Time  0.444772
2021-09-25 13:43:27.853095 : Epoch  8, Batch    374, Loss  0.870544, Average Loss  0.869230, Time  0.456913
2021-09-25 13:43:31.736342 : Epoch  8, Batch     26, Loss  0.871330, Average Loss  0.869841, Time  0.444672
2021-09-25 13:43:33.910548 : Epoch  8, Batch    375, Loss  0.874158, Average Loss  0.869241, Time  0.445263
2021-09-25 13:43:37.725123 : Epoch  8, Batch     27, Loss  0.877460, Average Loss  0.869868, Time  0.445083
2021-09-25 13:43:39.974426 : Epoch  8, Batch    376, Loss  0.882194, Average Loss  0.869266, Time  0.445578
2021-09-25 13:43:43.719507 : Epoch  8, Batch     28, Loss  0.880271, Average Loss  0.869897, Time  0.460965
2021-09-25 13:43:46.057773 : Epoch  8, Batch    377, Loss  0.879118, Average Loss  0.869285, Time  0.444895
2021-09-25 13:43:49.717372 : Epoch  8, Batch     29, Loss  0.873001, Average Loss  0.869863, Time  0.444763
2021-09-25 13:43:52.129471 : Epoch  8, Batch    378, Loss  0.857451, Average Loss  0.869296, Time  0.446550
2021-09-25 13:43:55.729743 : Epoch  8, Batch     30, Loss  0.859872, Average Loss  0.869847, Time  0.443996
2021-09-25 13:43:58.199475 : Epoch  8, Batch    379, Loss  0.879882, Average Loss  0.869362, Time  0.444894
2021-09-25 13:44:01.740492 : Epoch  8, Batch     31, Loss  0.867536, Average Loss  0.869755, Time  0.445645
2021-09-25 13:44:04.280080 : Epoch  8, Batch    380, Loss  0.863600, Average Loss  0.869365, Time  0.445463
2021-09-25 13:44:07.718476 : Epoch  8, Batch     32, Loss  0.874267, Average Loss  0.869810, Time  0.444136
2021-09-25 13:44:10.352324 : Epoch  8, Batch    381, Loss  0.857232, Average Loss  0.869273, Time  0.453886
2021-09-25 13:44:13.699666 : Epoch  8, Batch     33, Loss  0.868757, Average Loss  0.869850, Time  0.445686
2021-09-25 13:44:16.408081 : Epoch  8, Batch    382, Loss  0.862961, Average Loss  0.869280, Time  0.445044
2021-09-25 13:44:19.672728 : Epoch  8, Batch     34, Loss  0.876846, Average Loss  0.869921, Time  0.448010
2021-09-25 13:44:22.461879 : Epoch  8, Batch    383, Loss  0.882887, Average Loss  0.869356, Time  0.447272
2021-09-25 13:44:25.669967 : Epoch  8, Batch     35, Loss  0.882603, Average Loss  0.870016, Time  0.459836
2021-09-25 13:44:28.526787 : Epoch  8, Batch    384, Loss  0.873723, Average Loss  0.869377, Time  0.445105
2021-09-25 13:44:31.619155 : Epoch  8, Batch     36, Loss  0.861953, Average Loss  0.869968, Time  0.445323
2021-09-25 13:44:34.579555 : Epoch  8, Batch    385, Loss  0.862397, Average Loss  0.869344, Time  0.445553
2021-09-25 13:44:37.587852 : Epoch  8, Batch     37, Loss  0.855760, Average Loss  0.869884, Time  0.444114
2021-09-25 13:44:40.602809 : Epoch  8, Batch    386, Loss  0.869184, Average Loss  0.869325, Time  0.446236
2021-09-25 13:44:43.572552 : Epoch  8, Batch     38, Loss  0.868591, Average Loss  0.869844, Time  0.444215
2021-09-25 13:44:46.657414 : Epoch  8, Batch    387, Loss  0.869473, Average Loss  0.869365, Time  0.445621
2021-09-25 13:44:49.567410 : Epoch  8, Batch     39, Loss  0.885236, Average Loss  0.869881, Time  0.444019
2021-09-25 13:44:52.734741 : Epoch  8, Batch    388, Loss  0.872416, Average Loss  0.869294, Time  0.445304
2021-09-25 13:44:55.579160 : Epoch  8, Batch     40, Loss  0.876228, Average Loss  0.869882, Time  0.449057
2021-09-25 13:44:58.791312 : Epoch  8, Batch    389, Loss  0.877741, Average Loss  0.869329, Time  0.454313
2021-09-25 13:45:01.551859 : Epoch  8, Batch     41, Loss  0.860623, Average Loss  0.869841, Time  0.444566
2021-09-25 13:45:04.857880 : Epoch  8, Batch    390, Loss  0.865046, Average Loss  0.869284, Time  0.445130
2021-09-25 13:45:07.538765 : Epoch  8, Batch     42, Loss  0.859286, Average Loss  0.869730, Time  0.446015
2021-09-25 13:45:10.927988 : Epoch  8, Batch    391, Loss  0.881040, Average Loss  0.869292, Time  0.445080
2021-09-25 13:45:13.541495 : Epoch  8, Batch     43, Loss  0.869191, Average Loss  0.869735, Time  0.457582
2021-09-25 13:45:17.002909 : Epoch  8, Batch    392, Loss  0.872338, Average Loss  0.869294, Time  0.445249
2021-09-25 13:45:19.532042 : Epoch  8, Batch     44, Loss  0.873911, Average Loss  0.869784, Time  0.444427
2021-09-25 13:45:23.081653 : Epoch  8, Batch    393, Loss  0.865717, Average Loss  0.869270, Time  0.445430
2021-09-25 13:45:25.531802 : Epoch  8, Batch     45, Loss  0.858112, Average Loss  0.869712, Time  0.444678
2021-09-25 13:45:29.143194 : Epoch  8, Batch    394, Loss  0.864577, Average Loss  0.869232, Time  0.447620
2021-09-25 13:45:31.512616 : Epoch  8, Batch     46, Loss  0.872495, Average Loss  0.869649, Time  0.445369
2021-09-25 13:45:35.202196 : Epoch  8, Batch    395, Loss  0.866161, Average Loss  0.869180, Time  0.445066
2021-09-25 13:45:37.499435 : Epoch  8, Batch     47, Loss  0.865697, Average Loss  0.869603, Time  0.444631
2021-09-25 13:45:41.302047 : Epoch  8, Batch    396, Loss  0.853953, Average Loss  0.869061, Time  0.462914
2021-09-25 13:45:43.487532 : Epoch  8, Batch     48, Loss  0.867242, Average Loss  0.869629, Time  0.444189
2021-09-25 13:45:47.380804 : Epoch  8, Batch    397, Loss  0.870326, Average Loss  0.869074, Time  0.448299
2021-09-25 13:45:49.504258 : Epoch  8, Batch     49, Loss  0.872953, Average Loss  0.869631, Time  0.444342
2021-09-25 13:45:53.429228 : Epoch  8, Batch    398, Loss  0.874799, Average Loss  0.869074, Time  0.445297
2021-09-25 13:45:55.504514 : Epoch  8, Batch     50, Loss  0.875369, Average Loss  0.869702, Time  0.444542
2021-09-25 13:45:59.493146 : Epoch  8, Batch    399, Loss  0.875735, Average Loss  0.869107, Time  0.448517
2021-09-25 13:46:01.528895 : Epoch  8, Batch     51, Loss  0.864991, Average Loss  0.869741, Time  0.457625
2021-09-25 13:46:05.571661 : Epoch  8, Batch    400, Loss  0.857230, Average Loss  0.869061, Time  0.448135
2021-09-25 13:46:07.542357 : Epoch  8, Batch     52, Loss  0.860513, Average Loss  0.869683, Time  0.444530
2021-09-25 13:46:11.619920 : Epoch  8, Batch    401, Loss  0.875597, Average Loss  0.869062, Time  0.445357
2021-09-25 13:46:13.529818 : Epoch  8, Batch     53, Loss  0.864071, Average Loss  0.869538, Time  0.444074
2021-09-25 13:46:17.700649 : Epoch  8, Batch    402, Loss  0.879619, Average Loss  0.869210, Time  0.446407
2021-09-25 13:46:19.537061 : Epoch  8, Batch     54, Loss  0.869915, Average Loss  0.869512, Time  0.444903
2021-09-25 13:46:23.766435 : Epoch  8, Batch    403, Loss  0.874528, Average Loss  0.869281, Time  0.458088
2021-09-25 13:46:25.531846 : Epoch  8, Batch     55, Loss  0.854338, Average Loss  0.869477, Time  0.444086
2021-09-25 13:46:29.847345 : Epoch  8, Batch    404, Loss  0.862282, Average Loss  0.869221, Time  0.456778
2021-09-25 13:46:31.550977 : Epoch  8, Batch     56, Loss  0.854467, Average Loss  0.869365, Time  0.445431
2021-09-25 13:46:37.566886 : Epoch  8, Batch     57, Loss  0.853574, Average Loss  0.869325, Time  0.444279
2021-09-25 13:46:43.563144 : Epoch  8, Batch     58, Loss  0.840325, Average Loss  0.869169, Time  0.444077
2021-09-25 13:46:49.579499 : Epoch  8, Batch     59, Loss  0.857892, Average Loss  0.869080, Time  0.460365
2021-09-25 13:46:55.572217 : Epoch  8, Batch     60, Loss  0.869404, Average Loss  0.869050, Time  0.448607
2021-09-25 13:47:01.556391 : Epoch  8, Batch     61, Loss  0.862305, Average Loss  0.869099, Time  0.445243
2021-09-25 13:47:07.536523 : Epoch  8, Batch     62, Loss  0.862327, Average Loss  0.869043, Time  0.445376
2021-09-25 13:47:13.550770 : Epoch  8, Batch     63, Loss  0.883417, Average Loss  0.869145, Time  0.444038
2021-09-25 13:47:19.544635 : Epoch  8, Batch     64, Loss  0.857038, Average Loss  0.869140, Time  0.445725
2021-09-25 13:47:25.538861 : Epoch  8, Batch     65, Loss  0.860365, Average Loss  0.869127, Time  0.444349
2021-09-25 13:47:31.521089 : Epoch  8, Batch     66, Loss  0.863391, Average Loss  0.869031, Time  0.443580
2021-09-25 13:47:37.522911 : Epoch  8, Batch     67, Loss  0.864218, Average Loss  0.869013, Time  0.463917
2021-09-25 13:47:43.532298 : Epoch  8, Batch     68, Loss  0.861339, Average Loss  0.869049, Time  0.444813
2021-09-25 13:47:49.561075 : Epoch  8, Batch     69, Loss  0.867338, Average Loss  0.869011, Time  0.447467
2021-09-25 13:47:55.557368 : Epoch  8, Batch     70, Loss  0.877326, Average Loss  0.869034, Time  0.445495
2021-09-25 13:48:01.544041 : Epoch  8, Batch     71, Loss  0.882167, Average Loss  0.869112, Time  0.444400
2021-09-25 13:48:07.531371 : Epoch  8, Batch     72, Loss  0.865198, Average Loss  0.869187, Time  0.446953
2021-09-25 13:48:13.527788 : Epoch  8, Batch     73, Loss  0.878339, Average Loss  0.869157, Time  0.445250
2021-09-25 13:48:19.520120 : Epoch  8, Batch     74, Loss  0.854890, Average Loss  0.869071, Time  0.443536
2021-09-25 13:48:25.522734 : Epoch  8, Batch     75, Loss  0.874452, Average Loss  0.869087, Time  0.459592
2021-09-25 13:48:31.495848 : Epoch  8, Batch     76, Loss  0.871423, Average Loss  0.869058, Time  0.444148
2021-09-25 13:48:37.495715 : Epoch  8, Batch     77, Loss  0.855697, Average Loss  0.868972, Time  0.444449
2021-09-25 13:48:43.501211 : Epoch  8, Batch     78, Loss  0.876996, Average Loss  0.868963, Time  0.444450
2021-09-25 13:48:49.487437 : Epoch  8, Batch     79, Loss  0.861722, Average Loss  0.868888, Time  0.444871
2021-09-25 13:48:55.487018 : Epoch  8, Batch     80, Loss  0.869448, Average Loss  0.868914, Time  0.447582
2021-09-25 13:49:01.500768 : Epoch  8, Batch     81, Loss  0.866929, Average Loss  0.868955, Time  0.445579
2021-09-25 13:49:07.478843 : Epoch  8, Batch     82, Loss  0.874177, Average Loss  0.868952, Time  0.444638
2021-09-25 13:49:13.477717 : Epoch  8, Batch     83, Loss  0.885420, Average Loss  0.869065, Time  0.460014
2021-09-25 13:49:19.468037 : Epoch  8, Batch     84, Loss  0.848161, Average Loss  0.868964, Time  0.444893
2021-09-25 13:49:25.453012 : Epoch  8, Batch     85, Loss  0.857844, Average Loss  0.868859, Time  0.445108
2021-09-25 13:49:31.447185 : Epoch  8, Batch     86, Loss  0.870684, Average Loss  0.868908, Time  0.445951
2021-09-25 13:49:37.426597 : Epoch  8, Batch     87, Loss  0.890905, Average Loss  0.869035, Time  0.449817
2021-09-25 13:49:43.408615 : Epoch  8, Batch     88, Loss  0.866712, Average Loss  0.868992, Time  0.444296
2021-09-25 13:49:49.398867 : Epoch  8, Batch     89, Loss  0.858453, Average Loss  0.868899, Time  0.444518
2021-09-25 13:49:55.400406 : Epoch  8, Batch     90, Loss  0.856304, Average Loss  0.868790, Time  0.445013
2021-09-25 13:50:01.417627 : Epoch  8, Batch     91, Loss  0.863407, Average Loss  0.868775, Time  0.461024
2021-09-25 13:50:07.420974 : Epoch  8, Batch     92, Loss  0.880560, Average Loss  0.868868, Time  0.445038
2021-09-25 13:50:13.428029 : Epoch  8, Batch     93, Loss  0.864855, Average Loss  0.868803, Time  0.447402
2021-09-25 13:50:19.425831 : Epoch  8, Batch     94, Loss  0.865799, Average Loss  0.868783, Time  0.447145
2021-09-25 13:50:25.439843 : Epoch  8, Batch     95, Loss  0.866712, Average Loss  0.868817, Time  0.448144
2021-09-25 13:50:31.439713 : Epoch  8, Batch     96, Loss  0.883893, Average Loss  0.868909, Time  0.445039
2021-09-25 13:50:37.440634 : Epoch  8, Batch     97, Loss  0.857287, Average Loss  0.868824, Time  0.444151
2021-09-25 13:50:43.444912 : Epoch  8, Batch     98, Loss  0.862444, Average Loss  0.868792, Time  0.445257
2021-09-25 13:50:49.464581 : Epoch  8, Batch     99, Loss  0.869729, Average Loss  0.868783, Time  0.456541
2021-09-25 13:50:55.491399 : Epoch  8, Batch    100, Loss  0.861681, Average Loss  0.868782, Time  0.445893
2021-09-25 13:51:01.489506 : Epoch  8, Batch    101, Loss  0.865945, Average Loss  0.868783, Time  0.448973
2021-09-25 13:51:07.475888 : Epoch  8, Batch    102, Loss  0.871819, Average Loss  0.868772, Time  0.445949
2021-09-25 13:51:13.458019 : Epoch  8, Batch    103, Loss  0.876588, Average Loss  0.868801, Time  0.445922
2021-09-25 13:51:14.637204 : CheckPoint: Validation Loss  0.00014912, Best Loss  0.00014804
2021-09-25 13:51:19.450815 : Epoch  8, Batch    104, Loss  0.876101, Average Loss  0.868828, Time  0.446364
2021-09-25 13:51:20.724083 : Epoch  8, Batch    405, Loss  0.870388, Average Loss  0.869191, Time  0.449855
2021-09-25 13:51:26.821141 : Epoch  8, Batch    406, Loss  0.889033, Average Loss  0.869321, Time  0.446512
2021-09-25 13:51:32.900211 : Epoch  8, Batch    407, Loss  0.855736, Average Loss  0.869199, Time  0.444859
2021-09-25 13:51:38.981485 : Epoch  8, Batch    408, Loss  0.883333, Average Loss  0.869270, Time  0.445497
2021-09-25 13:51:45.053318 : Epoch  8, Batch    409, Loss  0.871239, Average Loss  0.869300, Time  0.446660
2021-09-25 13:51:51.133061 : Epoch  8, Batch    410, Loss  0.866834, Average Loss  0.869307, Time  0.460539
2021-09-25 13:51:57.214461 : Epoch  8, Batch    411, Loss  0.876561, Average Loss  0.869383, Time  0.445199
2021-09-25 13:52:03.268002 : Epoch  8, Batch    412, Loss  0.855299, Average Loss  0.869338, Time  0.447602
2021-09-25 13:52:09.359810 : Epoch  8, Batch    413, Loss  0.870993, Average Loss  0.869380, Time  0.446609
2021-09-25 13:52:15.420913 : Epoch  8, Batch    414, Loss  0.882091, Average Loss  0.869466, Time  0.445133
2021-09-25 13:52:21.491876 : Epoch  8, Batch    415, Loss  0.867021, Average Loss  0.869376, Time  0.446142
2021-09-25 13:52:27.549169 : Epoch  8, Batch    416, Loss  0.875639, Average Loss  0.869479, Time  0.445636
2021-09-25 13:52:33.631703 : Epoch  8, Batch    417, Loss  0.886862, Average Loss  0.869568, Time  0.456933
2021-09-25 13:52:39.687875 : Epoch  8, Batch    418, Loss  0.861952, Average Loss  0.869487, Time  0.449021
2021-09-25 13:52:45.774610 : Epoch  8, Batch    419, Loss  0.876175, Average Loss  0.869523, Time  0.446573
2021-09-25 13:52:51.846108 : Epoch  8, Batch    420, Loss  0.878836, Average Loss  0.869588, Time  0.446339
2021-09-25 13:52:57.911856 : Epoch  8, Batch    421, Loss  0.855342, Average Loss  0.869475, Time  0.445895
2021-09-25 13:53:03.988851 : Epoch  8, Batch    422, Loss  0.874464, Average Loss  0.869566, Time  0.448737
2021-09-25 13:53:10.075741 : Epoch  8, Batch    423, Loss  0.854449, Average Loss  0.869456, Time  0.444813
2021-09-25 13:53:16.170508 : Epoch  8, Batch    424, Loss  0.869042, Average Loss  0.869439, Time  0.453475
2021-09-25 13:53:22.274871 : Epoch  8, Batch    425, Loss  0.853093, Average Loss  0.869349, Time  0.459629
2021-09-25 13:53:28.391744 : Epoch  8, Batch    426, Loss  0.871282, Average Loss  0.869326, Time  0.453949
2021-09-25 13:53:34.500882 : Epoch  8, Batch    427, Loss  0.859172, Average Loss  0.869288, Time  0.446653
2021-09-25 13:53:40.583848 : Epoch  8, Batch    428, Loss  0.858870, Average Loss  0.869298, Time  0.446042
2021-09-25 13:53:46.658544 : Epoch  8, Batch    429, Loss  0.861052, Average Loss  0.869181, Time  0.444722
2021-09-25 13:53:52.745449 : Epoch  8, Batch    430, Loss  0.872269, Average Loss  0.869207, Time  0.446793
2021-09-25 13:53:58.802877 : Epoch  8, Batch    431, Loss  0.870424, Average Loss  0.869171, Time  0.448942
2021-09-25 13:54:04.907173 : Epoch  8, Batch    432, Loss  0.868679, Average Loss  0.869200, Time  0.460649
2021-09-25 13:54:10.987824 : Epoch  8, Batch    433, Loss  0.868376, Average Loss  0.869207, Time  0.445273
2021-09-25 13:54:17.047386 : Epoch  8, Batch    434, Loss  0.858907, Average Loss  0.869120, Time  0.447685
2021-09-25 13:54:23.124779 : Epoch  8, Batch    435, Loss  0.860118, Average Loss  0.869154, Time  0.445409
2021-09-25 13:54:29.205889 : Epoch  8, Batch    436, Loss  0.876161, Average Loss  0.869128, Time  0.447513
2021-09-25 13:54:35.294403 : Epoch  8, Batch    437, Loss  0.873666, Average Loss  0.869167, Time  0.444999
2021-09-25 13:54:41.343794 : Epoch  8, Batch    438, Loss  0.855339, Average Loss  0.869038, Time  0.449857
2021-09-25 13:54:47.432322 : Epoch  8, Batch    439, Loss  0.882665, Average Loss  0.869067, Time  0.447815
2021-09-25 13:54:53.534939 : Epoch  8, Batch    440, Loss  0.875497, Average Loss  0.869171, Time  0.457189
2021-09-25 13:54:59.597434 : Epoch  8, Batch    441, Loss  0.873938, Average Loss  0.869156, Time  0.445416
2021-09-25 13:55:05.674903 : Epoch  8, Batch    442, Loss  0.874025, Average Loss  0.869139, Time  0.444771
2021-09-25 13:55:11.728741 : Epoch  8, Batch    443, Loss  0.875359, Average Loss  0.869162, Time  0.448064
2021-09-25 13:55:17.781781 : Epoch  8, Batch    444, Loss  0.877394, Average Loss  0.869249, Time  0.446491
2021-09-25 13:55:23.861768 : Epoch  8, Batch    445, Loss  0.861720, Average Loss  0.869210, Time  0.448510
2021-09-25 13:55:29.924223 : Epoch  8, Batch    446, Loss  0.876606, Average Loss  0.869274, Time  0.444904
2021-09-25 13:55:35.981597 : Epoch  8, Batch    447, Loss  0.874915, Average Loss  0.869293, Time  0.461961
2021-09-25 13:55:42.043216 : Epoch  8, Batch    448, Loss  0.853020, Average Loss  0.869197, Time  0.445315
2021-09-25 13:55:48.101454 : Epoch  8, Batch    449, Loss  0.858504, Average Loss  0.869165, Time  0.445081
2021-09-25 13:55:54.183176 : Epoch  8, Batch    450, Loss  0.860457, Average Loss  0.869119, Time  0.444724
2021-09-25 13:56:00.247376 : Epoch  8, Batch    451, Loss  0.870524, Average Loss  0.869112, Time  0.449378
2021-09-25 13:56:03.445656 : CheckPoint: Validation Loss  0.00015222, Best Loss  0.00014758
2021-09-25 13:56:06.312137 : Epoch  8, Batch    452, Loss  0.853461, Average Loss  0.869038, Time  0.446089
2021-09-25 13:56:09.471800 : Epoch  8, Batch    105, Loss  0.870570, Average Loss  0.868778, Time  0.459110
2021-09-25 13:56:12.384602 : Epoch  8, Batch    453, Loss  0.858971, Average Loss  0.868946, Time  0.445295
2021-09-25 13:56:15.475422 : Epoch  8, Batch    106, Loss  0.874571, Average Loss  0.868821, Time  0.445016
2021-09-25 13:56:18.477036 : Epoch  8, Batch    454, Loss  0.860207, Average Loss  0.868935, Time  0.446318
2021-09-25 13:56:21.483111 : Epoch  8, Batch    107, Loss  0.879471, Average Loss  0.868761, Time  0.444357
2021-09-25 13:56:24.572288 : Epoch  8, Batch    455, Loss  0.879280, Average Loss  0.868976, Time  0.461804
2021-09-25 13:56:27.501530 : Epoch  8, Batch    108, Loss  0.864378, Average Loss  0.868701, Time  0.445713
2021-09-25 13:56:30.649937 : Epoch  8, Batch    456, Loss  0.862874, Average Loss  0.868981, Time  0.446755
2021-09-25 13:56:33.512838 : Epoch  8, Batch    109, Loss  0.879533, Average Loss  0.868803, Time  0.445529
2021-09-25 13:56:36.731532 : Epoch  8, Batch    457, Loss  0.874689, Average Loss  0.868900, Time  0.446301
2021-09-25 13:56:39.517938 : Epoch  8, Batch    110, Loss  0.875492, Average Loss  0.868969, Time  0.445586
2021-09-25 13:56:42.798001 : Epoch  8, Batch    458, Loss  0.871594, Average Loss  0.868873, Time  0.445365
2021-09-25 13:56:45.546044 : Epoch  8, Batch    111, Loss  0.853950, Average Loss  0.868913, Time  0.453631
2021-09-25 13:56:48.892313 : Epoch  8, Batch    459, Loss  0.863491, Average Loss  0.868868, Time  0.451962
2021-09-25 13:56:51.557499 : Epoch  8, Batch    112, Loss  0.869910, Average Loss  0.868914, Time  0.444863
2021-09-25 13:56:54.955817 : Epoch  8, Batch    460, Loss  0.877051, Average Loss  0.868873, Time  0.445616
2021-09-25 13:56:57.613630 : Epoch  8, Batch    113, Loss  0.882001, Average Loss  0.869011, Time  0.458077
2021-09-25 13:57:01.025407 : Epoch  8, Batch    461, Loss  0.865789, Average Loss  0.868817, Time  0.447808
2021-09-25 13:57:03.605998 : Epoch  8, Batch    114, Loss  0.876630, Average Loss  0.868984, Time  0.446151
2021-09-25 13:57:07.128560 : Epoch  8, Batch    462, Loss  0.869330, Average Loss  0.868751, Time  0.454590
2021-09-25 13:57:09.597330 : Epoch  8, Batch    115, Loss  0.869272, Average Loss  0.868930, Time  0.447700
2021-09-25 13:57:13.190018 : Epoch  8, Batch    463, Loss  0.865354, Average Loss  0.868777, Time  0.460992
2021-09-25 13:57:15.586358 : Epoch  8, Batch    116, Loss  0.869366, Average Loss  0.868952, Time  0.444036
2021-09-25 13:57:19.264285 : Epoch  8, Batch    464, Loss  0.875729, Average Loss  0.868840, Time  0.450143
2021-09-25 13:57:21.625504 : Epoch  8, Batch    117, Loss  0.884767, Average Loss  0.868906, Time  0.445097
2021-09-25 13:57:25.340592 : Epoch  8, Batch    465, Loss  0.878988, Average Loss  0.868905, Time  0.446811
2021-09-25 13:57:27.627525 : Epoch  8, Batch    118, Loss  0.881812, Average Loss  0.868944, Time  0.443938
2021-09-25 13:57:31.393765 : Epoch  8, Batch    466, Loss  0.870814, Average Loss  0.868905, Time  0.445347
2021-09-25 13:57:33.625618 : Epoch  8, Batch    119, Loss  0.873804, Average Loss  0.868991, Time  0.445288
2021-09-25 13:57:37.473644 : Epoch  8, Batch    467, Loss  0.869944, Average Loss  0.868906, Time  0.448805
2021-09-25 13:57:39.633303 : Epoch  8, Batch    120, Loss  0.865968, Average Loss  0.868965, Time  0.447617
2021-09-25 13:57:43.549260 : Epoch  8, Batch    468, Loss  0.861045, Average Loss  0.868878, Time  0.447589
2021-09-25 13:57:45.648753 : Epoch  8, Batch    121, Loss  0.869453, Average Loss  0.868966, Time  0.452652
2021-09-25 13:57:49.633824 : Epoch  8, Batch    469, Loss  0.879312, Average Loss  0.868979, Time  0.445011
2021-09-25 13:57:51.667051 : Epoch  8, Batch    122, Loss  0.858908, Average Loss  0.868966, Time  0.446737
2021-09-25 13:57:55.704650 : Epoch  8, Batch    470, Loss  0.876354, Average Loss  0.869003, Time  0.456962
2021-09-25 13:57:57.675280 : Epoch  8, Batch    123, Loss  0.882187, Average Loss  0.868978, Time  0.444463
2021-09-25 13:58:01.780168 : Epoch  8, Batch    471, Loss  0.872327, Average Loss  0.869101, Time  0.447340
2021-09-25 13:58:03.672396 : Epoch  8, Batch    124, Loss  0.884811, Average Loss  0.869066, Time  0.444790
2021-09-25 13:58:07.855954 : Epoch  8, Batch    472, Loss  0.871410, Average Loss  0.869116, Time  0.446098
2021-09-25 13:58:09.669917 : Epoch  8, Batch    125, Loss  0.876175, Average Loss  0.869103, Time  0.444844
2021-09-25 13:58:13.916607 : Epoch  8, Batch    473, Loss  0.878509, Average Loss  0.869211, Time  0.445156
2021-09-25 13:58:15.681086 : Epoch  8, Batch    126, Loss  0.862475, Average Loss  0.869063, Time  0.447819
2021-09-25 13:58:19.984314 : Epoch  8, Batch    474, Loss  0.865325, Average Loss  0.869237, Time  0.444997
2021-09-25 13:58:21.669597 : Epoch  8, Batch    127, Loss  0.874716, Average Loss  0.869123, Time  0.443715
2021-09-25 13:58:26.041046 : Epoch  8, Batch    475, Loss  0.869442, Average Loss  0.869205, Time  0.444678
2021-09-25 13:58:27.672615 : Epoch  8, Batch    128, Loss  0.875660, Average Loss  0.869101, Time  0.458365
2021-09-25 13:58:32.103851 : Epoch  8, Batch    476, Loss  0.867544, Average Loss  0.869094, Time  0.448451
2021-09-25 13:58:33.687494 : Epoch  8, Batch    129, Loss  0.858786, Average Loss  0.869013, Time  0.443470
2021-09-25 13:58:38.183848 : Epoch  8, Batch    477, Loss  0.882766, Average Loss  0.869196, Time  0.453553
2021-09-25 13:58:39.701378 : Epoch  8, Batch    130, Loss  0.870311, Average Loss  0.869049, Time  0.444355
2021-09-25 13:58:44.277362 : Epoch  8, Batch    478, Loss  0.875077, Average Loss  0.869289, Time  0.445888
2021-09-25 13:58:45.758257 : Epoch  8, Batch    131, Loss  0.878349, Average Loss  0.869026, Time  0.445964
2021-09-25 13:58:50.362678 : Epoch  8, Batch    479, Loss  0.867213, Average Loss  0.869244, Time  0.445202
2021-09-25 13:58:51.777464 : Epoch  8, Batch    132, Loss  0.874016, Average Loss  0.869022, Time  0.446237
2021-09-25 13:58:56.430617 : Epoch  8, Batch    480, Loss  0.867376, Average Loss  0.869242, Time  0.448260
2021-09-25 13:58:57.772792 : Epoch  8, Batch    133, Loss  0.873132, Average Loss  0.869056, Time  0.444045
2021-09-25 13:59:02.511305 : Epoch  8, Batch    481, Loss  0.872729, Average Loss  0.869357, Time  0.448948
2021-09-25 13:59:03.775262 : Epoch  8, Batch    134, Loss  0.866149, Average Loss  0.869022, Time  0.447212
2021-09-25 13:59:08.585820 : Epoch  8, Batch    482, Loss  0.894452, Average Loss  0.869509, Time  0.445031
2021-09-25 13:59:09.792058 : Epoch  8, Batch    135, Loss  0.857100, Average Loss  0.868976, Time  0.447550
2021-09-25 13:59:14.651537 : Epoch  8, Batch    483, Loss  0.883607, Average Loss  0.869557, Time  0.444676
2021-09-25 13:59:15.807440 : Epoch  8, Batch    136, Loss  0.875213, Average Loss  0.869030, Time  0.465132
2021-09-25 13:59:20.735799 : Epoch  8, Batch    484, Loss  0.873341, Average Loss  0.869530, Time  0.447782
2021-09-25 13:59:21.809281 : Epoch  8, Batch    137, Loss  0.870982, Average Loss  0.869050, Time  0.447678
2021-09-25 13:59:26.816385 : Epoch  8, Batch    485, Loss  0.865691, Average Loss  0.869521, Time  0.456902
2021-09-25 13:59:27.791803 : Epoch  8, Batch    138, Loss  0.867261, Average Loss  0.869112, Time  0.444873
2021-09-25 13:59:32.899724 : Epoch  8, Batch    486, Loss  0.887481, Average Loss  0.869642, Time  0.444879
2021-09-25 13:59:33.811783 : Epoch  8, Batch    139, Loss  0.876854, Average Loss  0.869195, Time  0.443849
2021-09-25 13:59:38.963691 : Epoch  8, Batch    487, Loss  0.875158, Average Loss  0.869609, Time  0.445295
2021-09-25 13:59:39.805350 : Epoch  8, Batch    140, Loss  0.885067, Average Loss  0.869284, Time  0.449657
2021-09-25 13:59:45.039880 : Epoch  8, Batch    488, Loss  0.866631, Average Loss  0.869589, Time  0.449235
2021-09-25 13:59:45.818257 : Epoch  8, Batch    141, Loss  0.881660, Average Loss  0.869341, Time  0.445374
2021-09-25 13:59:51.113948 : Epoch  8, Batch    489, Loss  0.870545, Average Loss  0.869578, Time  0.445149
2021-09-25 13:59:51.818744 : Epoch  8, Batch    142, Loss  0.868342, Average Loss  0.869270, Time  0.444561
2021-09-25 13:59:57.171007 : Epoch  8, Batch    490, Loss  0.875472, Average Loss  0.869665, Time  0.445380
2021-09-25 13:59:57.829420 : Epoch  8, Batch    143, Loss  0.875089, Average Loss  0.869329, Time  0.457039
2021-09-25 14:00:03.223326 : Epoch  8, Batch    491, Loss  0.873936, Average Loss  0.869658, Time  0.445113
2021-09-25 14:00:03.811959 : Epoch  8, Batch    144, Loss  0.875553, Average Loss  0.869262, Time  0.444161
2021-09-25 14:00:09.316857 : Epoch  8, Batch    492, Loss  0.862939, Average Loss  0.869685, Time  0.457829
2021-09-25 14:00:09.833736 : Epoch  8, Batch    145, Loss  0.881297, Average Loss  0.869340, Time  0.444612
2021-09-25 14:00:15.384647 : Epoch  8, Batch    493, Loss  0.872494, Average Loss  0.869672, Time  0.445228
2021-09-25 14:00:15.822605 : Epoch  8, Batch    146, Loss  0.864110, Average Loss  0.869415, Time  0.444922
2021-09-25 14:00:21.460805 : Epoch  8, Batch    494, Loss  0.864093, Average Loss  0.869678, Time  0.449042
2021-09-25 14:00:21.837343 : Epoch  8, Batch    147, Loss  0.887424, Average Loss  0.869479, Time  0.451139
2021-09-25 14:00:27.520340 : Epoch  8, Batch    495, Loss  0.864566, Average Loss  0.869596, Time  0.445011
2021-09-25 14:00:27.825075 : Epoch  8, Batch    148, Loss  0.851461, Average Loss  0.869320, Time  0.444479
2021-09-25 14:00:33.616791 : Epoch  8, Batch    496, Loss  0.865102, Average Loss  0.869548, Time  0.445698
2021-09-25 14:00:33.823790 : Epoch  8, Batch    149, Loss  0.870279, Average Loss  0.869315, Time  0.444859
2021-09-25 14:00:39.706391 : Epoch  8, Batch    497, Loss  0.877092, Average Loss  0.869526, Time  0.445519
2021-09-25 14:00:39.834978 : Epoch  8, Batch    150, Loss  0.861906, Average Loss  0.869282, Time  0.444987
2021-09-25 14:00:45.800956 : Epoch  8, Batch    498, Loss  0.859441, Average Loss  0.869436, Time  0.450725
2021-09-25 14:00:45.866040 : Epoch  8, Batch    151, Loss  0.874411, Average Loss  0.869324, Time  0.459032
2021-09-25 14:00:51.869954 : Epoch  8, Batch    499, Loss  0.857524, Average Loss  0.869344, Time  0.447077
2021-09-25 14:00:51.937100 : Epoch  8, Batch    152, Loss  0.869587, Average Loss  0.869240, Time  0.447166
2021-09-25 14:00:57.941778 : Epoch  8, Batch    153, Loss  0.861889, Average Loss  0.869171, Time  0.445821
2021-09-25 14:00:57.994258 : Epoch  8, Batch    500, Loss  0.868125, Average Loss  0.869356, Time  0.458966
2021-09-25 14:01:03.961994 : Epoch  8, Batch    154, Loss  0.874679, Average Loss  0.869150, Time  0.444111
2021-09-25 14:01:04.052671 : Epoch  8, Batch    501, Loss  0.875079, Average Loss  0.869368, Time  0.446063
2021-09-25 14:01:09.989304 : Epoch  8, Batch    155, Loss  0.861599, Average Loss  0.869093, Time  0.444198
2021-09-25 14:01:10.129941 : Epoch  8, Batch    502, Loss  0.857561, Average Loss  0.869377, Time  0.444881
2021-09-25 14:01:15.971940 : Epoch  8, Batch    156, Loss  0.870723, Average Loss  0.869146, Time  0.446616
2021-09-25 14:01:16.192767 : Epoch  8, Batch    503, Loss  0.874410, Average Loss  0.869380, Time  0.450027
2021-09-25 14:01:21.986523 : Epoch  8, Batch    157, Loss  0.861079, Average Loss  0.869143, Time  0.447405
2021-09-25 14:01:27.879343 : Epoch  8, Batch    504, Loss  0.863893, Average Loss  0.869344, Time  0.446707
2021-09-25 14:01:28.015052 : Epoch  8, Batch    158, Loss  0.866860, Average Loss  0.869175, Time  0.458191
2021-09-25 14:01:34.007695 : Epoch  8, Batch    159, Loss  0.866910, Average Loss  0.869036, Time  0.446207
2021-09-25 14:01:39.996623 : Epoch  8, Batch    160, Loss  0.872503, Average Loss  0.868998, Time  0.445320
2021-09-25 14:01:45.998115 : Epoch  8, Batch    161, Loss  0.882414, Average Loss  0.868989, Time  0.444458
2021-09-25 14:01:51.982304 : Epoch  8, Batch    162, Loss  0.877500, Average Loss  0.869088, Time  0.443534
2021-09-25 14:01:57.983221 : Epoch  8, Batch    163, Loss  0.850729, Average Loss  0.869001, Time  0.444664
2021-09-25 14:02:03.997797 : Epoch  8, Batch    164, Loss  0.857653, Average Loss  0.868992, Time  0.448357
2021-09-25 14:02:10.001821 : Epoch  8, Batch    165, Loss  0.876522, Average Loss  0.869081, Time  0.447534
2021-09-25 14:02:16.023260 : Epoch  8, Batch    166, Loss  0.875350, Average Loss  0.869049, Time  0.458076
2021-09-25 14:02:22.016435 : Epoch  8, Batch    167, Loss  0.888935, Average Loss  0.869170, Time  0.445454
2021-09-25 14:02:28.013550 : Epoch  8, Batch    168, Loss  0.875578, Average Loss  0.869220, Time  0.446987
2021-09-25 14:02:34.025757 : Epoch  8, Batch    169, Loss  0.869208, Average Loss  0.869326, Time  0.445753
2021-09-25 14:02:40.010871 : Epoch  8, Batch    170, Loss  0.869068, Average Loss  0.869221, Time  0.444255
2021-09-25 14:02:46.041828 : Epoch  8, Batch    171, Loss  0.887755, Average Loss  0.869229, Time  0.445255
2021-09-25 14:02:52.056514 : Epoch  8, Batch    172, Loss  0.875033, Average Loss  0.869219, Time  0.444678
2021-09-25 14:02:58.078648 : Epoch  8, Batch    173, Loss  0.864926, Average Loss  0.869158, Time  0.461672
2021-09-25 14:03:04.060127 : Epoch  8, Batch    174, Loss  0.871679, Average Loss  0.869123, Time  0.443765
2021-09-25 14:03:10.068579 : Epoch  8, Batch    175, Loss  0.877047, Average Loss  0.869206, Time  0.444501
2021-09-25 14:03:16.087535 : Epoch  8, Batch    176, Loss  0.869102, Average Loss  0.869182, Time  0.444761
2021-09-25 14:03:22.131605 : Epoch  8, Batch    177, Loss  0.865329, Average Loss  0.869166, Time  0.445925
2021-09-25 14:03:28.160683 : Epoch  8, Batch    178, Loss  0.857099, Average Loss  0.869090, Time  0.447510
2021-09-25 14:03:34.160754 : Epoch  8, Batch    179, Loss  0.881000, Average Loss  0.869147, Time  0.444300
2021-09-25 14:03:40.146757 : Epoch  8, Batch    180, Loss  0.867285, Average Loss  0.869159, Time  0.443902
2021-09-25 14:03:46.178816 : Epoch  8, Batch    181, Loss  0.855929, Average Loss  0.869147, Time  0.462056
2021-09-25 14:03:52.171750 : Epoch  8, Batch    182, Loss  0.876679, Average Loss  0.869201, Time  0.444226
2021-09-25 14:03:58.182413 : Epoch  8, Batch    183, Loss  0.869107, Average Loss  0.869158, Time  0.448210
2021-09-25 14:04:04.179788 : Epoch  8, Batch    184, Loss  0.864584, Average Loss  0.869242, Time  0.447597
2021-09-25 14:04:10.190271 : Epoch  8, Batch    185, Loss  0.882971, Average Loss  0.869377, Time  0.447897
2021-09-25 14:04:16.203784 : Epoch  8, Batch    186, Loss  0.871775, Average Loss  0.869359, Time  0.444114
2021-09-25 14:04:22.224163 : Epoch  8, Batch    187, Loss  0.854281, Average Loss  0.869306, Time  0.444746
2021-09-25 14:04:28.265714 : Epoch  8, Batch    188, Loss  0.870012, Average Loss  0.869312, Time  0.461676
2021-09-25 14:04:34.251373 : Epoch  8, Batch    189, Loss  0.854997, Average Loss  0.869216, Time  0.445839
2021-09-25 14:04:40.277190 : Epoch  8, Batch    190, Loss  0.878913, Average Loss  0.869265, Time  0.443471
2021-09-25 14:04:46.283619 : Epoch  8, Batch    191, Loss  0.868935, Average Loss  0.869267, Time  0.443681
2021-09-25 14:04:52.304854 : Epoch  8, Batch    192, Loss  0.869838, Average Loss  0.869330, Time  0.459198
2021-09-25 14:04:58.314616 : Epoch  8, Batch    193, Loss  0.872791, Average Loss  0.869440, Time  0.444671
2021-09-25 14:05:04.321024 : Epoch  8, Batch    194, Loss  0.857563, Average Loss  0.869375, Time  0.446186
2021-09-25 14:05:10.370832 : Epoch  8, Batch    195, Loss  0.861816, Average Loss  0.869344, Time  0.446454
2021-09-25 14:05:16.378939 : Epoch  8, Batch    196, Loss  0.878815, Average Loss  0.869459, Time  0.453826
2021-09-25 14:05:22.387262 : Epoch  8, Batch    197, Loss  0.877236, Average Loss  0.869495, Time  0.444534
2021-09-25 14:05:28.394714 : Epoch  8, Batch    198, Loss  0.860031, Average Loss  0.869487, Time  0.443878
2021-09-25 14:05:34.408007 : Epoch  8, Batch    199, Loss  0.865369, Average Loss  0.869474, Time  0.444026
2021-09-25 14:05:40.408936 : Epoch  8, Batch    200, Loss  0.858178, Average Loss  0.869444, Time  0.443842
2021-09-25 14:05:46.450939 : Epoch  8, Batch    201, Loss  0.869544, Average Loss  0.869476, Time  0.448684
2021-09-25 14:05:52.432569 : Epoch  8, Batch    202, Loss  0.872744, Average Loss  0.869474, Time  0.445294
2021-09-25 14:05:58.456114 : Epoch  8, Batch    203, Loss  0.860479, Average Loss  0.869471, Time  0.456695
2021-09-25 14:06:04.465118 : Epoch  8, Batch    204, Loss  0.872659, Average Loss  0.869459, Time  0.448977
2021-09-25 14:06:11.962278 : CheckPoint: Validation Loss  0.00015203, Best Loss  0.00014804
2021-09-25 14:06:18.042119 : Epoch  8, Batch    505, Loss  0.886823, Average Loss  0.869401, Time  0.461115
2021-09-25 14:06:24.121380 : Epoch  8, Batch    506, Loss  0.872451, Average Loss  0.869334, Time  0.446381
2021-09-25 14:06:30.180493 : Epoch  8, Batch    507, Loss  0.877364, Average Loss  0.869384, Time  0.444964
2021-09-25 14:06:36.253733 : Epoch  8, Batch    508, Loss  0.868099, Average Loss  0.869318, Time  0.447276
2021-09-25 14:06:42.311639 : Epoch  8, Batch    509, Loss  0.855483, Average Loss  0.869289, Time  0.445034
2021-09-25 14:06:48.379948 : Epoch  8, Batch    510, Loss  0.869275, Average Loss  0.869283, Time  0.447889
2021-09-25 14:06:54.459466 : Epoch  8, Batch    511, Loss  0.855869, Average Loss  0.869257, Time  0.456914
2021-09-25 14:07:00.546439 : Epoch  8, Batch    512, Loss  0.875836, Average Loss  0.869286, Time  0.457278
2021-09-25 14:07:06.596918 : Epoch  8, Batch    513, Loss  0.884749, Average Loss  0.869420, Time  0.444649
2021-09-25 14:07:12.662986 : Epoch  8, Batch    514, Loss  0.867750, Average Loss  0.869378, Time  0.445499
2021-09-25 14:07:18.737763 : Epoch  8, Batch    515, Loss  0.876121, Average Loss  0.869400, Time  0.445131
2021-09-25 14:07:24.789863 : Epoch  8, Batch    516, Loss  0.866700, Average Loss  0.869368, Time  0.446229
2021-09-25 14:07:30.842873 : Epoch  8, Batch    517, Loss  0.882176, Average Loss  0.869417, Time  0.444943
2021-09-25 14:07:36.896333 : Epoch  8, Batch    518, Loss  0.863900, Average Loss  0.869427, Time  0.449824
2021-09-25 14:07:42.957209 : Epoch  8, Batch    519, Loss  0.859149, Average Loss  0.869390, Time  0.447341
2021-09-25 14:07:49.020983 : Epoch  8, Batch    520, Loss  0.864449, Average Loss  0.869324, Time  0.456043
2021-09-25 14:07:55.077187 : Epoch  8, Batch    521, Loss  0.874518, Average Loss  0.869377, Time  0.445516
2021-09-25 14:08:01.129815 : Epoch  8, Batch    522, Loss  0.871317, Average Loss  0.869445, Time  0.446038
2021-09-25 14:08:07.192493 : Epoch  8, Batch    523, Loss  0.854645, Average Loss  0.869321, Time  0.445017
2021-09-25 14:08:13.252471 : Epoch  8, Batch    524, Loss  0.875405, Average Loss  0.869370, Time  0.444949
2021-09-25 14:08:19.325131 : Epoch  8, Batch    525, Loss  0.869500, Average Loss  0.869412, Time  0.445403
2021-09-25 14:08:25.393868 : Epoch  8, Batch    526, Loss  0.861078, Average Loss  0.869383, Time  0.445764
2021-09-25 14:08:31.463904 : Epoch  8, Batch    527, Loss  0.881523, Average Loss  0.869435, Time  0.457936
2021-09-25 14:08:37.548236 : Epoch  8, Batch    528, Loss  0.854644, Average Loss  0.869393, Time  0.447428
2021-09-25 14:08:43.621125 : Epoch  8, Batch    529, Loss  0.871258, Average Loss  0.869399, Time  0.445472
2021-09-25 14:08:49.704695 : Epoch  8, Batch    530, Loss  0.875028, Average Loss  0.869428, Time  0.445944
2021-09-25 14:08:55.778640 : Epoch  8, Batch    531, Loss  0.860686, Average Loss  0.869358, Time  0.446736
2021-09-25 14:09:01.825792 : Epoch  8, Batch    532, Loss  0.872729, Average Loss  0.869382, Time  0.448740
2021-09-25 14:09:07.891097 : Epoch  8, Batch    533, Loss  0.872520, Average Loss  0.869409, Time  0.445765
2021-09-25 14:09:13.953412 : Epoch  8, Batch    534, Loss  0.867169, Average Loss  0.869431, Time  0.447437
2021-09-25 14:09:20.034685 : Epoch  8, Batch    535, Loss  0.863079, Average Loss  0.869412, Time  0.458930
2021-09-25 14:09:26.126080 : Epoch  8, Batch    536, Loss  0.842942, Average Loss  0.869285, Time  0.458602
2021-09-25 14:09:32.189500 : Epoch  8, Batch    537, Loss  0.870501, Average Loss  0.869365, Time  0.446553
2021-09-25 14:09:38.246969 : Epoch  8, Batch    538, Loss  0.866962, Average Loss  0.869378, Time  0.445294
2021-09-25 14:09:44.328169 : Epoch  8, Batch    539, Loss  0.866903, Average Loss  0.869350, Time  0.446259
2021-09-25 14:09:50.392231 : Epoch  8, Batch    540, Loss  0.851174, Average Loss  0.869309, Time  0.445111
2021-09-25 14:09:56.468254 : Epoch  8, Batch    541, Loss  0.871745, Average Loss  0.869263, Time  0.444435
2021-09-25 14:10:02.534977 : Epoch  8, Batch    542, Loss  0.867986, Average Loss  0.869209, Time  0.460185
2021-09-25 14:10:08.595602 : Epoch  8, Batch    543, Loss  0.881416, Average Loss  0.869260, Time  0.448541
2021-09-25 14:10:14.654635 : Epoch  8, Batch    544, Loss  0.872848, Average Loss  0.869270, Time  0.444411
2021-09-25 14:10:20.727037 : Epoch  8, Batch    545, Loss  0.890498, Average Loss  0.869347, Time  0.444658
2021-09-25 14:10:26.784123 : Epoch  8, Batch    546, Loss  0.869267, Average Loss  0.869411, Time  0.445782
2021-09-25 14:10:32.840314 : Epoch  8, Batch    547, Loss  0.882602, Average Loss  0.869540, Time  0.444744
2021-09-25 14:10:38.884702 : Epoch  8, Batch    548, Loss  0.872483, Average Loss  0.869495, Time  0.445354
2021-09-25 14:10:44.946971 : Epoch  8, Batch    549, Loss  0.864549, Average Loss  0.869424, Time  0.444463
2021-09-25 14:10:47.142660 : CheckPoint: Validation Loss  0.00015147, Best Loss  0.00014758
2021-09-25 14:10:51.018906 : Epoch  8, Batch    550, Loss  0.876772, Average Loss  0.869451, Time  0.455830
2021-09-25 14:10:53.130732 : Epoch  8, Batch    205, Loss  0.864401, Average Loss  0.869380, Time  0.443708
2021-09-25 14:10:57.083152 : Epoch  8, Batch    551, Loss  0.876372, Average Loss  0.869478, Time  0.450685
2021-09-25 14:10:59.126503 : Epoch  8, Batch    206, Loss  0.859812, Average Loss  0.869321, Time  0.443318
2021-09-25 14:11:03.149827 : Epoch  8, Batch    552, Loss  0.865733, Average Loss  0.869459, Time  0.445499
2021-09-25 14:11:05.130877 : Epoch  8, Batch    207, Loss  0.860941, Average Loss  0.869276, Time  0.446419
2021-09-25 14:11:09.220756 : Epoch  8, Batch    553, Loss  0.864129, Average Loss  0.869475, Time  0.445372
2021-09-25 14:11:11.138448 : Epoch  8, Batch    208, Loss  0.880084, Average Loss  0.869340, Time  0.447445
2021-09-25 14:11:15.293615 : Epoch  8, Batch    554, Loss  0.877875, Average Loss  0.869551, Time  0.445480
2021-09-25 14:11:17.140391 : Epoch  8, Batch    209, Loss  0.870556, Average Loss  0.869430, Time  0.456260
2021-09-25 14:11:21.356260 : Epoch  8, Batch    555, Loss  0.858864, Average Loss  0.869564, Time  0.448786
2021-09-25 14:11:23.145854 : Epoch  8, Batch    210, Loss  0.860634, Average Loss  0.869342, Time  0.449667
2021-09-25 14:11:27.423624 : Epoch  8, Batch    556, Loss  0.858389, Average Loss  0.869530, Time  0.445102
2021-09-25 14:11:29.148865 : Epoch  8, Batch    211, Loss  0.855575, Average Loss  0.869261, Time  0.444660
2021-09-25 14:11:33.511628 : Epoch  8, Batch    557, Loss  0.883709, Average Loss  0.869599, Time  0.452725
2021-09-25 14:11:35.170074 : Epoch  8, Batch    212, Loss  0.868131, Average Loss  0.869233, Time  0.445023
2021-09-25 14:11:39.574736 : Epoch  8, Batch    558, Loss  0.864799, Average Loss  0.869617, Time  0.444823
2021-09-25 14:11:41.155363 : Epoch  8, Batch    213, Loss  0.868023, Average Loss  0.869254, Time  0.444050
2021-09-25 14:11:45.647923 : Epoch  8, Batch    559, Loss  0.878006, Average Loss  0.869759, Time  0.444900
2021-09-25 14:11:47.143934 : Epoch  8, Batch    214, Loss  0.865931, Average Loss  0.869336, Time  0.444351
2021-09-25 14:11:51.695733 : Epoch  8, Batch    560, Loss  0.875804, Average Loss  0.869761, Time  0.445555
2021-09-25 14:11:53.145726 : Epoch  8, Batch    215, Loss  0.874838, Average Loss  0.869356, Time  0.445421
2021-09-25 14:11:57.768817 : Epoch  8, Batch    561, Loss  0.877710, Average Loss  0.869739, Time  0.446349
2021-09-25 14:11:59.141519 : Epoch  8, Batch    216, Loss  0.869050, Average Loss  0.869347, Time  0.447661
2021-09-25 14:12:03.839488 : Epoch  8, Batch    562, Loss  0.865434, Average Loss  0.869784, Time  0.447272
2021-09-25 14:12:05.138188 : Epoch  8, Batch    217, Loss  0.872490, Average Loss  0.869320, Time  0.454775
2021-09-25 14:12:09.904336 : Epoch  8, Batch    563, Loss  0.883295, Average Loss  0.869867, Time  0.453153
2021-09-25 14:12:11.114118 : Epoch  8, Batch    218, Loss  0.870127, Average Loss  0.869331, Time  0.448792
2021-09-25 14:12:15.975004 : Epoch  8, Batch    564, Loss  0.875886, Average Loss  0.869864, Time  0.450351
2021-09-25 14:12:17.112389 : Epoch  8, Batch    219, Loss  0.869845, Average Loss  0.869341, Time  0.444642
2021-09-25 14:12:22.048893 : Epoch  8, Batch    565, Loss  0.875372, Average Loss  0.869866, Time  0.458751
2021-09-25 14:12:23.100537 : Epoch  8, Batch    220, Loss  0.870415, Average Loss  0.869259, Time  0.443752
2021-09-25 14:12:28.134657 : Epoch  8, Batch    566, Loss  0.855534, Average Loss  0.869891, Time  0.444629
2021-09-25 14:12:29.096934 : Epoch  8, Batch    221, Loss  0.858343, Average Loss  0.869244, Time  0.444215
2021-09-25 14:12:34.184775 : Epoch  8, Batch    567, Loss  0.867672, Average Loss  0.869834, Time  0.447062
2021-09-25 14:12:35.083270 : Epoch  8, Batch    222, Loss  0.872793, Average Loss  0.869307, Time  0.448094
2021-09-25 14:12:40.254926 : Epoch  8, Batch    568, Loss  0.860182, Average Loss  0.869724, Time  0.451208
2021-09-25 14:12:41.078403 : Epoch  8, Batch    223, Loss  0.870361, Average Loss  0.869210, Time  0.444144
2021-09-25 14:12:46.307749 : Epoch  8, Batch    569, Loss  0.861369, Average Loss  0.869736, Time  0.448728
2021-09-25 14:12:47.069284 : Epoch  8, Batch    224, Loss  0.880163, Average Loss  0.869211, Time  0.453636
2021-09-25 14:12:52.385706 : Epoch  8, Batch    570, Loss  0.873676, Average Loss  0.869776, Time  0.449708
2021-09-25 14:12:53.078910 : Epoch  8, Batch    225, Loss  0.863448, Average Loss  0.869164, Time  0.444473
2021-09-25 14:12:58.452125 : Epoch  8, Batch    571, Loss  0.872945, Average Loss  0.869796, Time  0.450730
2021-09-25 14:12:59.066350 : Epoch  8, Batch    226, Loss  0.851259, Average Loss  0.869063, Time  0.444175
2021-09-25 14:13:04.521221 : Epoch  8, Batch    572, Loss  0.875184, Average Loss  0.869843, Time  0.463467
2021-09-25 14:13:05.038814 : Epoch  8, Batch    227, Loss  0.840907, Average Loss  0.868881, Time  0.446333
2021-09-25 14:13:10.562744 : Epoch  8, Batch    573, Loss  0.868625, Average Loss  0.869832, Time  0.445986
2021-09-25 14:13:11.024804 : Epoch  8, Batch    228, Loss  0.882601, Average Loss  0.868892, Time  0.445940
2021-09-25 14:13:16.615869 : Epoch  8, Batch    574, Loss  0.867076, Average Loss  0.869814, Time  0.445717
2021-09-25 14:13:17.018586 : Epoch  8, Batch    229, Loss  0.864181, Average Loss  0.868848, Time  0.444173
2021-09-25 14:13:22.689854 : Epoch  8, Batch    575, Loss  0.870930, Average Loss  0.869798, Time  0.446223
2021-09-25 14:13:23.028575 : Epoch  8, Batch    230, Loss  0.866039, Average Loss  0.868879, Time  0.446088
2021-09-25 14:13:28.760655 : Epoch  8, Batch    576, Loss  0.861921, Average Loss  0.869697, Time  0.445708
2021-09-25 14:13:29.001763 : Epoch  8, Batch    231, Loss  0.869992, Average Loss  0.868891, Time  0.444502
2021-09-25 14:13:34.814386 : Epoch  8, Batch    577, Loss  0.875265, Average Loss  0.869678, Time  0.445739
2021-09-25 14:13:35.015372 : Epoch  8, Batch    232, Loss  0.886403, Average Loss  0.868952, Time  0.455515
2021-09-25 14:13:40.890555 : Epoch  8, Batch    578, Loss  0.878109, Average Loss  0.869781, Time  0.448312
2021-09-25 14:13:40.990785 : Epoch  8, Batch    233, Loss  0.869691, Average Loss  0.868957, Time  0.443862
2021-09-25 14:13:46.954060 : Epoch  8, Batch    579, Loss  0.865085, Average Loss  0.869707, Time  0.445744
2021-09-25 14:13:46.990062 : Epoch  8, Batch    234, Loss  0.883851, Average Loss  0.868992, Time  0.444263
2021-09-25 14:13:52.977831 : Epoch  8, Batch    235, Loss  0.876538, Average Loss  0.868961, Time  0.445132
2021-09-25 14:13:53.012050 : Epoch  8, Batch    580, Loss  0.870678, Average Loss  0.869742, Time  0.456424
2021-09-25 14:13:58.974380 : Epoch  8, Batch    236, Loss  0.854580, Average Loss  0.868925, Time  0.444627
2021-09-25 14:13:59.064929 : Epoch  8, Batch    581, Loss  0.867609, Average Loss  0.869794, Time  0.445890
2021-09-25 14:14:04.952730 : Epoch  8, Batch    237, Loss  0.862388, Average Loss  0.868958, Time  0.444225
2021-09-25 14:14:05.115888 : Epoch  8, Batch    582, Loss  0.859531, Average Loss  0.869777, Time  0.445485
2021-09-25 14:14:10.931734 : Epoch  8, Batch    238, Loss  0.867757, Average Loss  0.868954, Time  0.446116
2021-09-25 14:14:11.161197 : Epoch  8, Batch    583, Loss  0.874750, Average Loss  0.869736, Time  0.444825
2021-09-25 14:14:16.941450 : Epoch  8, Batch    239, Loss  0.855148, Average Loss  0.868803, Time  0.456827
2021-09-25 14:14:17.217980 : Epoch  8, Batch    584, Loss  0.870611, Average Loss  0.869721, Time  0.454132
2021-09-25 14:14:22.965185 : Epoch  8, Batch    240, Loss  0.865500, Average Loss  0.868749, Time  0.450128
2021-09-25 14:14:23.285194 : Epoch  8, Batch    585, Loss  0.861125, Average Loss  0.869715, Time  0.444671
2021-09-25 14:14:28.962578 : Epoch  8, Batch    241, Loss  0.882241, Average Loss  0.868858, Time  0.445478
2021-09-25 14:14:29.346553 : Epoch  8, Batch    586, Loss  0.883921, Average Loss  0.869788, Time  0.450934
2021-09-25 14:14:34.962759 : Epoch  8, Batch    242, Loss  0.881064, Average Loss  0.868966, Time  0.445327
2021-09-25 14:14:35.428514 : Epoch  8, Batch    587, Loss  0.875506, Average Loss  0.869818, Time  0.458454
2021-09-25 14:14:40.959936 : Epoch  8, Batch    243, Loss  0.865623, Average Loss  0.868949, Time  0.448736
2021-09-25 14:14:41.504491 : Epoch  8, Batch    588, Loss  0.866060, Average Loss  0.869787, Time  0.445605
2021-09-25 14:14:46.951876 : Epoch  8, Batch    244, Loss  0.866302, Average Loss  0.868911, Time  0.452918
2021-09-25 14:14:47.543170 : Epoch  8, Batch    589, Loss  0.864630, Average Loss  0.869721, Time  0.444683
2021-09-25 14:14:52.939191 : Epoch  8, Batch    245, Loss  0.870110, Average Loss  0.868971, Time  0.443662
2021-09-25 14:14:53.585348 : Epoch  8, Batch    590, Loss  0.868726, Average Loss  0.869739, Time  0.446838
2021-09-25 14:14:58.914942 : Epoch  8, Batch    246, Loss  0.873069, Average Loss  0.868973, Time  0.449013
2021-09-25 14:14:59.618008 : Epoch  8, Batch    591, Loss  0.863742, Average Loss  0.869653, Time  0.444747
2021-09-25 14:15:04.914125 : Epoch  8, Batch    247, Loss  0.863934, Average Loss  0.868965, Time  0.455435
2021-09-25 14:15:05.674660 : Epoch  8, Batch    592, Loss  0.879366, Average Loss  0.869688, Time  0.448498
2021-09-25 14:15:10.904695 : Epoch  8, Batch    248, Loss  0.873647, Average Loss  0.868997, Time  0.445070
2021-09-25 14:15:11.728779 : Epoch  8, Batch    593, Loss  0.858225, Average Loss  0.869651, Time  0.446797
2021-09-25 14:15:16.920621 : Epoch  8, Batch    249, Loss  0.872977, Average Loss  0.868997, Time  0.445697
2021-09-25 14:15:17.781483 : Epoch  8, Batch    594, Loss  0.866370, Average Loss  0.869660, Time  0.446900
2021-09-25 14:15:22.929795 : Epoch  8, Batch    250, Loss  0.869063, Average Loss  0.868965, Time  0.443665
2021-09-25 14:15:23.838652 : Epoch  8, Batch    595, Loss  0.877602, Average Loss  0.869717, Time  0.461028
2021-09-25 14:15:28.926531 : Epoch  8, Batch    251, Loss  0.870848, Average Loss  0.868994, Time  0.444427
2021-09-25 14:15:29.885564 : Epoch  8, Batch    596, Loss  0.884663, Average Loss  0.869870, Time  0.445481
2021-09-25 14:15:34.907719 : Epoch  8, Batch    252, Loss  0.891882, Average Loss  0.869151, Time  0.444984
2021-09-25 14:15:35.962937 : Epoch  8, Batch    597, Loss  0.867849, Average Loss  0.869858, Time  0.456109
2021-09-25 14:15:40.912034 : Epoch  8, Batch    253, Loss  0.891591, Average Loss  0.869289, Time  0.445412
2021-09-25 14:15:42.020914 : Epoch  8, Batch    598, Loss  0.871593, Average Loss  0.869842, Time  0.447265
2021-09-25 14:15:46.921144 : Epoch  8, Batch    254, Loss  0.871789, Average Loss  0.869298, Time  0.452732
2021-09-25 14:15:48.062056 : Epoch  8, Batch    599, Loss  0.866447, Average Loss  0.869795, Time  0.445199
2021-09-25 14:15:52.927517 : Epoch  8, Batch    255, Loss  0.877814, Average Loss  0.869416, Time  0.444579
2021-09-25 14:15:54.131114 : Epoch  8, Batch    600, Loss  0.859983, Average Loss  0.869809, Time  0.447041
2021-09-25 14:15:58.933931 : Epoch  8, Batch    256, Loss  0.870073, Average Loss  0.869494, Time  0.448745
2021-09-25 14:16:00.171565 : Epoch  8, Batch    601, Loss  0.867505, Average Loss  0.869769, Time  0.444407
2021-09-25 14:16:04.908733 : Epoch  8, Batch    257, Loss  0.864779, Average Loss  0.869550, Time  0.443534
2021-09-25 14:16:06.233668 : Epoch  8, Batch    602, Loss  0.865220, Average Loss  0.869697, Time  0.457407
2021-09-25 14:16:10.880170 : Epoch  8, Batch    258, Loss  0.846483, Average Loss  0.869581, Time  0.444629
2021-09-25 14:16:12.281780 : Epoch  8, Batch    603, Loss  0.876597, Average Loss  0.869707, Time  0.444494
2021-09-25 14:16:16.925034 : Epoch  8, Batch    259, Loss  0.867779, Average Loss  0.869630, Time  0.444706
2021-09-25 14:16:18.326729 : Epoch  8, Batch    604, Loss  0.874555, Average Loss  0.869768, Time  0.447054
2021-09-25 14:16:22.961494 : Epoch  8, Batch    260, Loss  0.864016, Average Loss  0.869603, Time  0.448171
2021-09-25 14:16:29.013124 : Epoch  8, Batch    261, Loss  0.863377, Average Loss  0.869608, Time  0.443527
2021-09-25 14:16:35.057739 : Epoch  8, Batch    262, Loss  0.873161, Average Loss  0.869663, Time  0.450781
2021-09-25 14:16:41.081315 : Epoch  8, Batch    263, Loss  0.860940, Average Loss  0.869550, Time  0.444340
2021-09-25 14:16:47.122872 : Epoch  8, Batch    264, Loss  0.876106, Average Loss  0.869646, Time  0.444316
2021-09-25 14:16:53.185229 : Epoch  8, Batch    265, Loss  0.878628, Average Loss  0.869737, Time  0.449403
2021-09-25 14:16:59.213051 : Epoch  8, Batch    266, Loss  0.870820, Average Loss  0.869774, Time  0.444754
2021-09-25 14:17:05.253036 : Epoch  8, Batch    267, Loss  0.866375, Average Loss  0.869785, Time  0.443780
2021-09-25 14:17:11.317864 : Epoch  8, Batch    268, Loss  0.862552, Average Loss  0.869791, Time  0.444506
2021-09-25 14:17:17.418932 : Epoch  8, Batch    269, Loss  0.881459, Average Loss  0.869861, Time  0.458592
2021-09-25 14:17:23.476237 : Epoch  8, Batch    270, Loss  0.869458, Average Loss  0.869822, Time  0.444051
2021-09-25 14:17:27.908765 : Epoch  8, Batch    271, Loss  0.857662, Average Loss  0.869700, Time  0.344923
2021-09-25 14:17:33.955550 : Epoch  8, Batch    272, Loss  0.863450, Average Loss  0.869691, Time  0.445172
2021-09-25 14:17:40.015355 : Epoch  8, Batch    273, Loss  0.887545, Average Loss  0.869737, Time  0.444814
2021-09-25 14:17:46.053310 : Epoch  8, Batch    274, Loss  0.877369, Average Loss  0.869849, Time  0.443232
2021-09-25 14:17:52.077827 : Epoch  8, Batch    275, Loss  0.864486, Average Loss  0.869799, Time  0.444011
2021-09-25 14:17:58.137753 : Epoch  8, Batch    276, Loss  0.865567, Average Loss  0.869770, Time  0.446786
2021-09-25 14:18:04.161489 : Epoch  8, Batch    277, Loss  0.873383, Average Loss  0.869859, Time  0.460394
2021-09-25 14:18:10.203192 : Epoch  8, Batch    278, Loss  0.865578, Average Loss  0.869801, Time  0.446651
2021-09-25 14:18:16.256249 : Epoch  8, Batch    279, Loss  0.878481, Average Loss  0.869885, Time  0.446542
2021-09-25 14:18:22.349498 : Epoch  8, Batch    280, Loss  0.873084, Average Loss  0.869903, Time  0.444510
2021-09-25 14:18:28.441806 : Epoch  8, Batch    281, Loss  0.869997, Average Loss  0.869919, Time  0.445345
2021-09-25 14:18:34.487833 : Epoch  8, Batch    282, Loss  0.860111, Average Loss  0.869848, Time  0.444516
2021-09-25 14:18:40.547798 : Epoch  8, Batch    283, Loss  0.858417, Average Loss  0.869713, Time  0.444434
2021-09-25 14:18:46.618225 : Epoch  8, Batch    284, Loss  0.864080, Average Loss  0.869793, Time  0.447870
2021-09-25 14:18:52.673670 : Epoch  8, Batch    285, Loss  0.854968, Average Loss  0.869779, Time  0.457171
2021-09-25 14:18:58.722262 : Epoch  8, Batch    286, Loss  0.867820, Average Loss  0.869764, Time  0.444319
2021-09-25 14:19:04.785304 : Epoch  8, Batch    287, Loss  0.861659, Average Loss  0.869618, Time  0.445522
2021-09-25 14:19:10.830774 : Epoch  8, Batch    288, Loss  0.863826, Average Loss  0.869604, Time  0.444284
2021-09-25 14:19:16.848160 : Epoch  8, Batch    289, Loss  0.857731, Average Loss  0.869600, Time  0.444655
2021-09-25 14:19:22.888406 : Epoch  8, Batch    290, Loss  0.861764, Average Loss  0.869627, Time  0.443691
2021-09-25 14:19:28.927685 : Epoch  8, Batch    291, Loss  0.884880, Average Loss  0.869735, Time  0.446023
2021-09-25 14:19:34.977660 : Epoch  8, Batch    292, Loss  0.865997, Average Loss  0.869662, Time  0.458921
2021-09-25 14:19:41.041865 : Epoch  8, Batch    293, Loss  0.890491, Average Loss  0.869790, Time  0.466898
2021-09-25 14:19:47.083701 : Epoch  8, Batch    294, Loss  0.863172, Average Loss  0.869777, Time  0.444261
2021-09-25 14:19:53.127453 : Epoch  8, Batch    295, Loss  0.882179, Average Loss  0.869854, Time  0.448251
2021-09-25 14:19:59.169673 : Epoch  8, Batch    296, Loss  0.880041, Average Loss  0.869835, Time  0.450544
2021-09-25 14:20:05.244408 : Epoch  8, Batch    297, Loss  0.864894, Average Loss  0.869873, Time  0.446497
2021-09-25 14:20:11.282951 : Epoch  8, Batch    298, Loss  0.854906, Average Loss  0.869835, Time  0.444224
2021-09-25 14:20:17.351997 : Epoch  8, Batch    299, Loss  0.861085, Average Loss  0.869792, Time  0.445332
2021-09-25 14:20:23.400320 : Epoch  8, Batch    300, Loss  0.867389, Average Loss  0.869821, Time  0.465290
2021-09-25 14:20:29.469793 : Epoch  8, Batch    301, Loss  0.855751, Average Loss  0.869770, Time  0.447689
2021-09-25 14:20:35.516458 : Epoch  8, Batch    302, Loss  0.870915, Average Loss  0.869765, Time  0.445265
2021-09-25 14:20:41.587830 : Epoch  8, Batch    303, Loss  0.879326, Average Loss  0.869779, Time  0.443794
2021-09-25 14:20:47.621613 : Epoch  8, Batch    304, Loss  0.879784, Average Loss  0.869797, Time  0.443637
2021-09-25 14:21:02.008812 : CheckPoint: Validation Loss  0.00015108, Best Loss  0.00014804
2021-09-25 14:21:08.088367 : Epoch  8, Batch    605, Loss  0.868993, Average Loss  0.869762, Time  0.447774
2021-09-25 14:21:14.138186 : Epoch  8, Batch    606, Loss  0.854416, Average Loss  0.869588, Time  0.444908
2021-09-25 14:21:20.184905 : Epoch  8, Batch    607, Loss  0.869057, Average Loss  0.869655, Time  0.445298
2021-09-25 14:21:26.262665 : Epoch  8, Batch    608, Loss  0.858069, Average Loss  0.869529, Time  0.456969
2021-09-25 14:21:32.303750 : Epoch  8, Batch    609, Loss  0.877198, Average Loss  0.869559, Time  0.445092
2021-09-25 14:21:38.354381 : Epoch  8, Batch    610, Loss  0.867192, Average Loss  0.869560, Time  0.446544
2021-09-25 14:21:44.411129 : Epoch  8, Batch    611, Loss  0.850558, Average Loss  0.869430, Time  0.447899
2021-09-25 14:21:50.455830 : Epoch  8, Batch    612, Loss  0.878111, Average Loss  0.869544, Time  0.445473
2021-09-25 14:21:56.499627 : Epoch  8, Batch    613, Loss  0.876395, Average Loss  0.869571, Time  0.445487
2021-09-25 14:22:02.554653 : Epoch  8, Batch    614, Loss  0.866630, Average Loss  0.869494, Time  0.445494
2021-09-25 14:22:08.629795 : Epoch  8, Batch    615, Loss  0.872548, Average Loss  0.869522, Time  0.445233
2021-09-25 14:22:14.692165 : Epoch  8, Batch    616, Loss  0.870955, Average Loss  0.869498, Time  0.456666
2021-09-25 14:22:20.722356 : Epoch  8, Batch    617, Loss  0.861173, Average Loss  0.869370, Time  0.445723
2021-09-25 14:22:26.800687 : Epoch  8, Batch    618, Loss  0.864277, Average Loss  0.869381, Time  0.444909
2021-09-25 14:22:32.852762 : Epoch  8, Batch    619, Loss  0.844201, Average Loss  0.869222, Time  0.446420
2021-09-25 14:22:38.886847 : Epoch  8, Batch    620, Loss  0.863120, Average Loss  0.869143, Time  0.445827
2021-09-25 14:22:44.947407 : Epoch  8, Batch    621, Loss  0.865463, Average Loss  0.869194, Time  0.447121
2021-09-25 14:22:51.002078 : Epoch  8, Batch    622, Loss  0.871803, Average Loss  0.869180, Time  0.448411
2021-09-25 14:22:57.087896 : Epoch  8, Batch    623, Loss  0.868808, Average Loss  0.869252, Time  0.461381
2021-09-25 14:23:03.155026 : Epoch  8, Batch    624, Loss  0.891175, Average Loss  0.869363, Time  0.445439
2021-09-25 14:23:09.196179 : Epoch  8, Batch    625, Loss  0.870113, Average Loss  0.869448, Time  0.444614
2021-09-25 14:23:15.267109 : Epoch  8, Batch    626, Loss  0.868607, Average Loss  0.869434, Time  0.449537
2021-09-25 14:23:21.350877 : Epoch  8, Batch    627, Loss  0.871727, Average Loss  0.869497, Time  0.446478
2021-09-25 14:23:27.402671 : Epoch  8, Batch    628, Loss  0.878527, Average Loss  0.869596, Time  0.445404
2021-09-25 14:23:33.452438 : Epoch  8, Batch    629, Loss  0.870101, Average Loss  0.869641, Time  0.446421
2021-09-25 14:23:39.492487 : Epoch  8, Batch    630, Loss  0.873472, Average Loss  0.869647, Time  0.445102
2021-09-25 14:23:45.576484 : Epoch  8, Batch    631, Loss  0.869242, Average Loss  0.869641, Time  0.460688
2021-09-25 14:23:51.656350 : Epoch  8, Batch    632, Loss  0.871379, Average Loss  0.869654, Time  0.452605
2021-09-25 14:23:57.717971 : Epoch  8, Batch    633, Loss  0.869711, Average Loss  0.869661, Time  0.454254
2021-09-25 14:24:03.785128 : Epoch  8, Batch    634, Loss  0.870797, Average Loss  0.869720, Time  0.448099
2021-09-25 14:24:09.846876 : Epoch  8, Batch    635, Loss  0.870430, Average Loss  0.869772, Time  0.450006
2021-09-25 14:24:15.884845 : Epoch  8, Batch    636, Loss  0.853949, Average Loss  0.869661, Time  0.446200
2021-09-25 14:24:21.942726 : Epoch  8, Batch    637, Loss  0.866287, Average Loss  0.869624, Time  0.444735
2021-09-25 14:24:28.031501 : Epoch  8, Batch    638, Loss  0.862003, Average Loss  0.869657, Time  0.459700
2021-09-25 14:24:34.093262 : Epoch  8, Batch    639, Loss  0.876197, Average Loss  0.869625, Time  0.445488
2021-09-25 14:24:40.139792 : Epoch  8, Batch    640, Loss  0.875973, Average Loss  0.869627, Time  0.448334
2021-09-25 14:24:46.186744 : Epoch  8, Batch    641, Loss  0.869823, Average Loss  0.869607, Time  0.444701
2021-09-25 14:24:52.221934 : Epoch  8, Batch    642, Loss  0.858616, Average Loss  0.869530, Time  0.444983
2021-09-25 14:24:58.285681 : Epoch  8, Batch    643, Loss  0.868944, Average Loss  0.869498, Time  0.448961
2021-09-25 14:25:04.358917 : Epoch  8, Batch    644, Loss  0.886291, Average Loss  0.869542, Time  0.444691
2021-09-25 14:25:10.417901 : Epoch  8, Batch    645, Loss  0.865892, Average Loss  0.869563, Time  0.447329
2021-09-25 14:25:16.492952 : Epoch  8, Batch    646, Loss  0.860043, Average Loss  0.869480, Time  0.461034
2021-09-25 14:25:22.552054 : Epoch  8, Batch    647, Loss  0.872550, Average Loss  0.869468, Time  0.445029
2021-09-25 14:25:28.600873 : Epoch  8, Batch    648, Loss  0.872765, Average Loss  0.869567, Time  0.447805
2021-09-25 14:25:31.200524 : CheckPoint: Validation Loss  0.00015076, Best Loss  0.00014758
2021-09-25 14:25:34.669943 : Epoch  8, Batch    649, Loss  0.866616, Average Loss  0.869608, Time  0.445160
2021-09-25 14:25:37.218872 : Epoch  8, Batch    305, Loss  0.873153, Average Loss  0.869810, Time  0.460034
2021-09-25 14:25:40.710377 : Epoch  8, Batch    650, Loss  0.867924, Average Loss  0.869645, Time  0.447150
2021-09-25 14:25:43.272089 : Epoch  8, Batch    306, Loss  0.870682, Average Loss  0.869791, Time  0.445022
2021-09-25 14:25:46.758226 : Epoch  8, Batch    651, Loss  0.869973, Average Loss  0.869642, Time  0.445236
2021-09-25 14:25:49.317187 : Epoch  8, Batch    307, Loss  0.861394, Average Loss  0.869700, Time  0.443997
2021-09-25 14:25:52.800136 : Epoch  8, Batch    652, Loss  0.857602, Average Loss  0.869663, Time  0.445095
2021-09-25 14:25:55.389446 : Epoch  8, Batch    308, Loss  0.868814, Average Loss  0.869723, Time  0.446239
2021-09-25 14:25:58.875809 : Epoch  8, Batch    653, Loss  0.879443, Average Loss  0.869765, Time  0.456944
2021-09-25 14:26:01.446721 : Epoch  8, Batch    309, Loss  0.874083, Average Loss  0.869695, Time  0.445554
2021-09-25 14:26:04.939684 : Epoch  8, Batch    654, Loss  0.881192, Average Loss  0.869870, Time  0.445014
2021-09-25 14:26:07.491256 : Epoch  8, Batch    310, Loss  0.882283, Average Loss  0.869729, Time  0.443690
2021-09-25 14:26:10.983402 : Epoch  8, Batch    655, Loss  0.882128, Average Loss  0.869885, Time  0.444483
2021-09-25 14:26:13.527467 : Epoch  8, Batch    311, Loss  0.862626, Average Loss  0.869773, Time  0.449616
2021-09-25 14:26:17.039228 : Epoch  8, Batch    656, Loss  0.864844, Average Loss  0.869894, Time  0.444763
2021-09-25 14:26:19.568828 : Epoch  8, Batch    312, Loss  0.872508, Average Loss  0.869786, Time  0.443747
2021-09-25 14:26:23.088818 : Epoch  8, Batch    657, Loss  0.877857, Average Loss  0.869910, Time  0.447911
2021-09-25 14:26:25.643343 : Epoch  8, Batch    313, Loss  0.871228, Average Loss  0.869732, Time  0.452788
2021-09-25 14:26:29.158887 : Epoch  8, Batch    658, Loss  0.870311, Average Loss  0.869904, Time  0.445640
2021-09-25 14:26:31.679736 : Epoch  8, Batch    314, Loss  0.858585, Average Loss  0.869642, Time  0.446523
2021-09-25 14:26:35.222173 : Epoch  8, Batch    659, Loss  0.861320, Average Loss  0.869893, Time  0.445752
2021-09-25 14:26:37.706848 : Epoch  8, Batch    315, Loss  0.880505, Average Loss  0.869698, Time  0.444998
2021-09-25 14:26:41.274091 : Epoch  8, Batch    660, Loss  0.877334, Average Loss  0.869894, Time  0.444868
2021-09-25 14:26:43.734808 : Epoch  8, Batch    316, Loss  0.869655, Average Loss  0.869699, Time  0.445035
2021-09-25 14:26:47.325674 : Epoch  8, Batch    661, Loss  0.882227, Average Loss  0.869977, Time  0.453453
2021-09-25 14:26:49.778888 : Epoch  8, Batch    317, Loss  0.867900, Average Loss  0.869615, Time  0.446368
2021-09-25 14:26:53.376479 : Epoch  8, Batch    662, Loss  0.878317, Average Loss  0.870022, Time  0.444844
2021-09-25 14:26:55.854192 : Epoch  8, Batch    318, Loss  0.871335, Average Loss  0.869562, Time  0.444946
2021-09-25 14:26:59.431804 : Epoch  8, Batch    663, Loss  0.852048, Average Loss  0.869955, Time  0.445730
2021-09-25 14:27:01.932041 : Epoch  8, Batch    319, Loss  0.875765, Average Loss  0.869572, Time  0.444170
2021-09-25 14:27:05.493930 : Epoch  8, Batch    664, Loss  0.872450, Average Loss  0.869939, Time  0.444647
2021-09-25 14:27:07.999884 : Epoch  8, Batch    320, Loss  0.857071, Average Loss  0.869528, Time  0.460365
2021-09-25 14:27:11.545602 : Epoch  8, Batch    665, Loss  0.864378, Average Loss  0.869866, Time  0.447595
2021-09-25 14:27:14.067523 : Epoch  8, Batch    321, Loss  0.875795, Average Loss  0.869559, Time  0.444252
2021-09-25 14:27:17.593837 : Epoch  8, Batch    666, Loss  0.876133, Average Loss  0.869892, Time  0.445833
2021-09-25 14:27:20.112600 : Epoch  8, Batch    322, Loss  0.865704, Average Loss  0.869593, Time  0.444859
2021-09-25 14:27:23.664010 : Epoch  8, Batch    667, Loss  0.863435, Average Loss  0.869860, Time  0.445353
2021-09-25 14:27:26.161929 : Epoch  8, Batch    323, Loss  0.866684, Average Loss  0.869516, Time  0.445314
2021-09-25 14:27:29.738775 : Epoch  8, Batch    668, Loss  0.870326, Average Loss  0.869906, Time  0.457167
2021-09-25 14:27:32.210705 : Epoch  8, Batch    324, Loss  0.865914, Average Loss  0.869421, Time  0.444676
2021-09-25 14:27:35.807442 : Epoch  8, Batch    669, Loss  0.871135, Average Loss  0.869865, Time  0.445640
2021-09-25 14:27:38.261623 : Epoch  8, Batch    325, Loss  0.857537, Average Loss  0.869328, Time  0.444252
2021-09-25 14:27:41.871335 : Epoch  8, Batch    670, Loss  0.874439, Average Loss  0.869856, Time  0.447376
2021-09-25 14:27:44.344354 : Epoch  8, Batch    326, Loss  0.878218, Average Loss  0.869407, Time  0.446122
2021-09-25 14:27:47.931487 : Epoch  8, Batch    671, Loss  0.866207, Average Loss  0.869825, Time  0.444930
2021-09-25 14:27:50.389691 : Epoch  8, Batch    327, Loss  0.858075, Average Loss  0.869324, Time  0.448276
2021-09-25 14:27:53.991556 : Epoch  8, Batch    672, Loss  0.874765, Average Loss  0.869842, Time  0.445653
2021-09-25 14:27:56.485934 : Epoch  8, Batch    328, Loss  0.875724, Average Loss  0.869324, Time  0.456840
2021-09-25 14:28:00.038564 : Epoch  8, Batch    673, Loss  0.876911, Average Loss  0.869834, Time  0.445013
2021-09-25 14:28:02.554760 : Epoch  8, Batch    329, Loss  0.866424, Average Loss  0.869362, Time  0.445197
2021-09-25 14:28:06.104792 : Epoch  8, Batch    674, Loss  0.865905, Average Loss  0.869837, Time  0.448648
2021-09-25 14:28:08.638721 : Epoch  8, Batch    330, Loss  0.868896, Average Loss  0.869355, Time  0.446263
2021-09-25 14:28:12.152129 : Epoch  8, Batch    675, Loss  0.886092, Average Loss  0.869920, Time  0.444858
2021-09-25 14:28:14.674936 : Epoch  8, Batch    331, Loss  0.847317, Average Loss  0.869200, Time  0.444700
2021-09-25 14:28:18.209901 : Epoch  8, Batch    676, Loss  0.878277, Average Loss  0.869974, Time  0.455658
2021-09-25 14:28:20.728831 : Epoch  8, Batch    332, Loss  0.871557, Average Loss  0.869188, Time  0.444780
2021-09-25 14:28:24.260739 : Epoch  8, Batch    677, Loss  0.864757, Average Loss  0.869884, Time  0.445664
2021-09-25 14:28:26.795741 : Epoch  8, Batch    333, Loss  0.864198, Average Loss  0.869143, Time  0.447197
2021-09-25 14:28:30.323570 : Epoch  8, Batch    678, Loss  0.854114, Average Loss  0.869779, Time  0.444629
2021-09-25 14:28:32.843260 : Epoch  8, Batch    334, Loss  0.876300, Average Loss  0.869194, Time  0.445076
2021-09-25 14:28:36.378919 : Epoch  8, Batch    679, Loss  0.857898, Average Loss  0.869732, Time  0.444717
2021-09-25 14:28:38.919887 : Epoch  8, Batch    335, Loss  0.850925, Average Loss  0.869163, Time  0.461168
2021-09-25 14:28:42.430231 : Epoch  8, Batch    680, Loss  0.883729, Average Loss  0.869814, Time  0.444838
2021-09-25 14:28:44.985715 : Epoch  8, Batch    336, Loss  0.856295, Average Loss  0.869068, Time  0.451536
2021-09-25 14:28:48.477359 : Epoch  8, Batch    681, Loss  0.855564, Average Loss  0.869728, Time  0.446395
2021-09-25 14:28:51.058660 : Epoch  8, Batch    337, Loss  0.861002, Average Loss  0.869018, Time  0.447081
2021-09-25 14:28:54.521916 : Epoch  8, Batch    682, Loss  0.892339, Average Loss  0.869718, Time  0.444920
2021-09-25 14:28:57.122594 : Epoch  8, Batch    338, Loss  0.881178, Average Loss  0.869088, Time  0.445285
2021-09-25 14:29:00.600654 : Epoch  8, Batch    683, Loss  0.880216, Average Loss  0.869701, Time  0.459138
2021-09-25 14:29:03.174965 : Epoch  8, Batch    339, Loss  0.860950, Average Loss  0.869009, Time  0.458379
2021-09-25 14:29:06.654066 : Epoch  8, Batch    684, Loss  0.879811, Average Loss  0.869733, Time  0.445440
2021-09-25 14:29:09.236536 : Epoch  8, Batch    340, Loss  0.856143, Average Loss  0.868864, Time  0.444291
2021-09-25 14:29:12.723657 : Epoch  8, Batch    685, Loss  0.870773, Average Loss  0.869758, Time  0.447013
2021-09-25 14:29:15.290786 : Epoch  8, Batch    341, Loss  0.884488, Average Loss  0.868878, Time  0.444306
2021-09-25 14:29:18.786173 : Epoch  8, Batch    686, Loss  0.871098, Average Loss  0.869676, Time  0.446044
2021-09-25 14:29:21.361939 : Epoch  8, Batch    342, Loss  0.861246, Average Loss  0.868843, Time  0.445110
2021-09-25 14:29:24.842051 : Epoch  8, Batch    687, Loss  0.865162, Average Loss  0.869626, Time  0.445529
2021-09-25 14:29:27.429873 : Epoch  8, Batch    343, Loss  0.866542, Average Loss  0.868800, Time  0.455666
2021-09-25 14:29:30.888367 : Epoch  8, Batch    688, Loss  0.857934, Average Loss  0.869583, Time  0.449017
2021-09-25 14:29:33.486241 : Epoch  8, Batch    344, Loss  0.871658, Average Loss  0.868780, Time  0.448701
2021-09-25 14:29:36.946737 : Epoch  8, Batch    689, Loss  0.860963, Average Loss  0.869535, Time  0.445610
2021-09-25 14:29:39.545913 : Epoch  8, Batch    345, Loss  0.872275, Average Loss  0.868735, Time  0.451821
2021-09-25 14:29:43.001134 : Epoch  8, Batch    690, Loss  0.876272, Average Loss  0.869539, Time  0.445189
2021-09-25 14:29:45.602814 : Epoch  8, Batch    346, Loss  0.868648, Average Loss  0.868758, Time  0.444878
2021-09-25 14:29:49.067963 : Epoch  8, Batch    691, Loss  0.866883, Average Loss  0.869504, Time  0.459703
2021-09-25 14:29:51.670348 : Epoch  8, Batch    347, Loss  0.864889, Average Loss  0.868645, Time  0.445145
2021-09-25 14:29:55.117362 : Epoch  8, Batch    692, Loss  0.853430, Average Loss  0.869456, Time  0.444727
2021-09-25 14:29:57.738708 : Epoch  8, Batch    348, Loss  0.875879, Average Loss  0.868767, Time  0.444168
2021-09-25 14:30:01.168642 : Epoch  8, Batch    693, Loss  0.876244, Average Loss  0.869475, Time  0.445096
2021-09-25 14:30:03.807843 : Epoch  8, Batch    349, Loss  0.866869, Average Loss  0.868750, Time  0.447170
2021-09-25 14:30:07.239974 : Epoch  8, Batch    694, Loss  0.871993, Average Loss  0.869514, Time  0.444649
2021-09-25 14:30:09.876548 : Epoch  8, Batch    350, Loss  0.880962, Average Loss  0.868846, Time  0.457530
2021-09-25 14:30:13.288296 : Epoch  8, Batch    695, Loss  0.846895, Average Loss  0.869426, Time  0.445426
2021-09-25 14:30:15.920630 : Epoch  8, Batch    351, Loss  0.846991, Average Loss  0.868708, Time  0.444779
2021-09-25 14:30:19.320772 : Epoch  8, Batch    696, Loss  0.874451, Average Loss  0.869473, Time  0.444944
2021-09-25 14:30:21.970468 : Epoch  8, Batch    352, Loss  0.873836, Average Loss  0.868730, Time  0.450494
2021-09-25 14:30:25.355708 : Epoch  8, Batch    697, Loss  0.860718, Average Loss  0.869391, Time  0.444578
2021-09-25 14:30:28.033898 : Epoch  8, Batch    353, Loss  0.862533, Average Loss  0.868733, Time  0.444780
2021-09-25 14:30:31.436241 : Epoch  8, Batch    698, Loss  0.880665, Average Loss  0.869497, Time  0.454541
2021-09-25 14:30:34.096430 : Epoch  8, Batch    354, Loss  0.861157, Average Loss  0.868665, Time  0.444514
2021-09-25 14:30:37.504037 : Epoch  8, Batch    699, Loss  0.859251, Average Loss  0.869506, Time  0.445680
2021-09-25 14:30:40.153992 : Epoch  8, Batch    355, Loss  0.869577, Average Loss  0.868705, Time  0.444420
2021-09-25 14:30:43.552431 : Epoch  8, Batch    700, Loss  0.887066, Average Loss  0.869600, Time  0.445087
2021-09-25 14:30:46.196020 : Epoch  8, Batch    356, Loss  0.860912, Average Loss  0.868656, Time  0.444586
2021-09-25 14:30:49.605034 : Epoch  8, Batch    701, Loss  0.870502, Average Loss  0.869578, Time  0.444838
2021-09-25 14:30:52.240820 : Epoch  8, Batch    357, Loss  0.856600, Average Loss  0.868634, Time  0.444482
2021-09-25 14:30:55.655162 : Epoch  8, Batch    702, Loss  0.868526, Average Loss  0.869632, Time  0.445070
2021-09-25 14:30:58.299344 : Epoch  8, Batch    358, Loss  0.865598, Average Loss  0.868627, Time  0.458029
2021-09-25 14:31:01.711000 : Epoch  8, Batch    703, Loss  0.868921, Average Loss  0.869605, Time  0.445805
2021-09-25 14:31:04.363388 : Epoch  8, Batch    359, Loss  0.861834, Average Loss  0.868602, Time  0.450801
2021-09-25 14:31:07.777975 : Epoch  8, Batch    704, Loss  0.869614, Average Loss  0.869634, Time  0.445396
2021-09-25 14:31:10.440957 : Epoch  8, Batch    360, Loss  0.879861, Average Loss  0.868639, Time  0.446332
2021-09-25 14:31:16.509498 : Epoch  8, Batch    361, Loss  0.877154, Average Loss  0.868613, Time  0.444912
2021-09-25 14:31:22.551933 : Epoch  8, Batch    362, Loss  0.850372, Average Loss  0.868477, Time  0.444041
2021-09-25 14:31:28.585581 : Epoch  8, Batch    363, Loss  0.874327, Average Loss  0.868595, Time  0.444695
2021-09-25 14:31:34.659456 : Epoch  8, Batch    364, Loss  0.879851, Average Loss  0.868706, Time  0.445513
2021-09-25 14:31:40.728391 : Epoch  8, Batch    365, Loss  0.869444, Average Loss  0.868671, Time  0.459569
2021-09-25 14:31:46.803053 : Epoch  8, Batch    366, Loss  0.869047, Average Loss  0.868639, Time  0.444700
2021-09-25 14:31:52.877100 : Epoch  8, Batch    367, Loss  0.875486, Average Loss  0.868572, Time  0.444856
2021-09-25 14:31:58.947911 : Epoch  8, Batch    368, Loss  0.868496, Average Loss  0.868536, Time  0.444035
2021-09-25 14:32:05.040912 : Epoch  8, Batch    369, Loss  0.873772, Average Loss  0.868559, Time  0.444954
2021-09-25 14:32:11.086909 : Epoch  8, Batch    370, Loss  0.874706, Average Loss  0.868587, Time  0.444077
2021-09-25 14:32:17.165135 : Epoch  8, Batch    371, Loss  0.871555, Average Loss  0.868506, Time  0.444338
2021-09-25 14:32:23.214857 : Epoch  8, Batch    372, Loss  0.871620, Average Loss  0.868489, Time  0.445975
2021-09-25 14:32:29.275631 : Epoch  8, Batch    373, Loss  0.871250, Average Loss  0.868521, Time  0.454550
2021-09-25 14:32:35.325546 : Epoch  8, Batch    374, Loss  0.870423, Average Loss  0.868515, Time  0.444536
2021-09-25 14:32:41.376918 : Epoch  8, Batch    375, Loss  0.861440, Average Loss  0.868437, Time  0.446157
2021-09-25 14:32:47.426662 : Epoch  8, Batch    376, Loss  0.851056, Average Loss  0.868346, Time  0.445890
2021-09-25 14:32:53.468542 : Epoch  8, Batch    377, Loss  0.861216, Average Loss  0.868326, Time  0.444883
2021-09-25 14:32:59.528947 : Epoch  8, Batch    378, Loss  0.849318, Average Loss  0.868287, Time  0.447209
2021-09-25 14:33:05.600800 : Epoch  8, Batch    379, Loss  0.875540, Average Loss  0.868260, Time  0.446882
2021-09-25 14:33:11.667267 : Epoch  8, Batch    380, Loss  0.874074, Average Loss  0.868294, Time  0.458678
2021-09-25 14:33:17.722020 : Epoch  8, Batch    381, Loss  0.865849, Average Loss  0.868343, Time  0.447463
2021-09-25 14:33:23.768306 : Epoch  8, Batch    382, Loss  0.868256, Average Loss  0.868301, Time  0.447399
2021-09-25 14:33:29.837423 : Epoch  8, Batch    383, Loss  0.862157, Average Loss  0.868266, Time  0.444839
2021-09-25 14:33:35.904371 : Epoch  8, Batch    384, Loss  0.879960, Average Loss  0.868343, Time  0.446425
2021-09-25 14:33:41.981308 : Epoch  8, Batch    385, Loss  0.862601, Average Loss  0.868241, Time  0.445024
2021-09-25 14:33:48.051233 : Epoch  8, Batch    386, Loss  0.866917, Average Loss  0.868217, Time  0.443849
2021-09-25 14:33:54.101929 : Epoch  8, Batch    387, Loss  0.863028, Average Loss  0.868261, Time  0.453029
2021-09-25 14:34:00.172075 : Epoch  8, Batch    388, Loss  0.861705, Average Loss  0.868219, Time  0.454932
2021-09-25 14:34:06.262284 : Epoch  8, Batch    389, Loss  0.863142, Average Loss  0.868260, Time  0.450130
2021-09-25 14:34:12.342933 : Epoch  8, Batch    390, Loss  0.865273, Average Loss  0.868192, Time  0.445057
2021-09-25 14:34:18.427778 : Epoch  8, Batch    391, Loss  0.862409, Average Loss  0.868159, Time  0.444783
2021-09-25 14:34:24.486579 : Epoch  8, Batch    392, Loss  0.858824, Average Loss  0.868104, Time  0.444849
2021-09-25 14:34:30.547864 : Epoch  8, Batch    393, Loss  0.868130, Average Loss  0.868081, Time  0.446491
2021-09-25 14:34:36.620464 : Epoch  8, Batch    394, Loss  0.870005, Average Loss  0.868143, Time  0.443788
2021-09-25 14:34:42.715854 : Epoch  8, Batch    395, Loss  0.871967, Average Loss  0.868194, Time  0.463380
2021-09-25 14:34:48.769543 : Epoch  8, Batch    396, Loss  0.877169, Average Loss  0.868185, Time  0.444279
2021-09-25 14:34:54.839665 : Epoch  8, Batch    397, Loss  0.868995, Average Loss  0.868144, Time  0.444630
2021-09-25 14:35:00.890741 : Epoch  8, Batch    398, Loss  0.874343, Average Loss  0.868216, Time  0.447657
2021-09-25 14:35:06.946618 : Epoch  8, Batch    399, Loss  0.862211, Average Loss  0.868200, Time  0.444885
2021-09-25 14:35:13.033479 : Epoch  8, Batch    400, Loss  0.859672, Average Loss  0.868208, Time  0.447674
2021-09-25 14:35:19.091284 : Epoch  8, Batch    401, Loss  0.863347, Average Loss  0.868177, Time  0.447186
2021-09-25 14:35:25.175371 : Epoch  8, Batch    402, Loss  0.871305, Average Loss  0.868169, Time  0.445712
2021-09-25 14:35:31.239550 : Epoch  8, Batch    403, Loss  0.866515, Average Loss  0.868200, Time  0.456255
2021-09-25 14:35:37.301196 : Epoch  8, Batch    404, Loss  0.863735, Average Loss  0.868155, Time  0.445557
2021-09-25 14:35:51.356608 : CheckPoint: Validation Loss  0.00014818, Best Loss  0.00014804
2021-09-25 14:35:57.399074 : Epoch  8, Batch    705, Loss  0.873686, Average Loss  0.869568, Time  0.445189
2021-09-25 14:36:03.472112 : Epoch  8, Batch    706, Loss  0.864783, Average Loss  0.869530, Time  0.446422
2021-09-25 14:36:09.533787 : Epoch  8, Batch    707, Loss  0.882035, Average Loss  0.869553, Time  0.444669
2021-09-25 14:36:15.592865 : Epoch  8, Batch    708, Loss  0.866999, Average Loss  0.869547, Time  0.448314
2021-09-25 14:36:21.651482 : Epoch  8, Batch    709, Loss  0.856189, Average Loss  0.869551, Time  0.448038
2021-09-25 14:36:27.702795 : Epoch  8, Batch    710, Loss  0.876260, Average Loss  0.869586, Time  0.446668
2021-09-25 14:36:33.779117 : Epoch  8, Batch    711, Loss  0.864048, Average Loss  0.869627, Time  0.446789
2021-09-25 14:36:39.861396 : Epoch  8, Batch    712, Loss  0.876154, Average Loss  0.869628, Time  0.457809
2021-09-25 14:36:45.907079 : Epoch  8, Batch    713, Loss  0.869681, Average Loss  0.869553, Time  0.446589
2021-09-25 14:36:51.955111 : Epoch  8, Batch    714, Loss  0.873920, Average Loss  0.869584, Time  0.447023
2021-09-25 14:36:58.009873 : Epoch  8, Batch    715, Loss  0.855131, Average Loss  0.869479, Time  0.452632
2021-09-25 14:37:04.064473 : Epoch  8, Batch    716, Loss  0.880048, Average Loss  0.869546, Time  0.450803
2021-09-25 14:37:10.104949 : Epoch  8, Batch    717, Loss  0.854388, Average Loss  0.869407, Time  0.444890
2021-09-25 14:37:16.140892 : Epoch  8, Batch    718, Loss  0.864333, Average Loss  0.869409, Time  0.445734
2021-09-25 14:37:22.206485 : Epoch  8, Batch    719, Loss  0.861808, Average Loss  0.869422, Time  0.455025
2021-09-25 14:37:28.253716 : Epoch  8, Batch    720, Loss  0.875007, Average Loss  0.869475, Time  0.445295
2021-09-25 14:37:34.313075 : Epoch  8, Batch    721, Loss  0.872824, Average Loss  0.869466, Time  0.445723
2021-09-25 14:37:40.371962 : Epoch  8, Batch    722, Loss  0.872766, Average Loss  0.869474, Time  0.447002
2021-09-25 14:37:46.435814 : Epoch  8, Batch    723, Loss  0.858556, Average Loss  0.869493, Time  0.446387
2021-09-25 14:37:52.483065 : Epoch  8, Batch    724, Loss  0.860789, Average Loss  0.869420, Time  0.446054
2021-09-25 14:37:58.542069 : Epoch  8, Batch    725, Loss  0.857418, Average Loss  0.869360, Time  0.445356
2021-09-25 14:38:04.598863 : Epoch  8, Batch    726, Loss  0.871143, Average Loss  0.869410, Time  0.446262
2021-09-25 14:38:10.660786 : Epoch  8, Batch    727, Loss  0.869468, Average Loss  0.869350, Time  0.455925
2021-09-25 14:38:16.719254 : Epoch  8, Batch    728, Loss  0.888840, Average Loss  0.869521, Time  0.444869
2021-09-25 14:38:22.787965 : Epoch  8, Batch    729, Loss  0.846440, Average Loss  0.869397, Time  0.446971
2021-09-25 14:38:28.846636 : Epoch  8, Batch    730, Loss  0.867483, Average Loss  0.869359, Time  0.448376
2021-09-25 14:38:34.901153 : Epoch  8, Batch    731, Loss  0.860124, Average Loss  0.869356, Time  0.448627
2021-09-25 14:38:40.966790 : Epoch  8, Batch    732, Loss  0.858483, Average Loss  0.869285, Time  0.450822
2021-09-25 14:38:47.017668 : Epoch  8, Batch    733, Loss  0.878861, Average Loss  0.869317, Time  0.445464
2021-09-25 14:38:53.090166 : Epoch  8, Batch    734, Loss  0.864679, Average Loss  0.869304, Time  0.444902
2021-09-25 14:38:59.153838 : Epoch  8, Batch    735, Loss  0.875624, Average Loss  0.869367, Time  0.454386
2021-09-25 14:39:05.196992 : Epoch  8, Batch    736, Loss  0.869027, Average Loss  0.869497, Time  0.447129
2021-09-25 14:39:11.241499 : Epoch  8, Batch    737, Loss  0.879701, Average Loss  0.869543, Time  0.446108
2021-09-25 14:39:17.303488 : Epoch  8, Batch    738, Loss  0.874084, Average Loss  0.869579, Time  0.448572
2021-09-25 14:39:23.345546 : Epoch  8, Batch    739, Loss  0.853406, Average Loss  0.869511, Time  0.448008
2021-09-25 14:39:29.414608 : Epoch  8, Batch    740, Loss  0.874747, Average Loss  0.869629, Time  0.445781
2021-09-25 14:39:35.448684 : Epoch  8, Batch    741, Loss  0.867450, Average Loss  0.869608, Time  0.448919
2021-09-25 14:39:41.519036 : Epoch  8, Batch    742, Loss  0.875508, Average Loss  0.869645, Time  0.459688
2021-09-25 14:39:47.564905 : Epoch  8, Batch    743, Loss  0.884962, Average Loss  0.869663, Time  0.447106
2021-09-25 14:39:53.634150 : Epoch  8, Batch    744, Loss  0.875422, Average Loss  0.869676, Time  0.446407
2021-09-25 14:39:59.675771 : Epoch  8, Batch    745, Loss  0.862354, Average Loss  0.869535, Time  0.445317
2021-09-25 14:40:05.711146 : Epoch  8, Batch    746, Loss  0.867010, Average Loss  0.869524, Time  0.446002
2021-09-25 14:40:11.767937 : Epoch  8, Batch    747, Loss  0.874398, Average Loss  0.869483, Time  0.446141
2021-09-25 14:40:17.836634 : Epoch  8, Batch    748, Loss  0.862957, Average Loss  0.869435, Time  0.444832
2021-09-25 14:40:20.911083 : CheckPoint: Validation Loss  0.00015196, Best Loss  0.00014758
2021-09-25 14:40:23.892836 : Epoch  8, Batch    749, Loss  0.877707, Average Loss  0.869501, Time  0.448824
2021-09-25 14:40:26.944435 : Epoch  8, Batch    405, Loss  0.867527, Average Loss  0.868171, Time  0.445431
2021-09-25 14:40:29.959866 : Epoch  8, Batch    750, Loss  0.869784, Average Loss  0.869466, Time  0.461029
2021-09-25 14:40:33.031198 : Epoch  8, Batch    406, Loss  0.874989, Average Loss  0.868246, Time  0.444263
2021-09-25 14:40:36.017801 : Epoch  8, Batch    751, Loss  0.864484, Average Loss  0.869407, Time  0.444618
2021-09-25 14:40:39.150873 : Epoch  8, Batch    407, Loss  0.865905, Average Loss  0.868271, Time  0.445360
2021-09-25 14:40:42.056598 : Epoch  8, Batch    752, Loss  0.860221, Average Loss  0.869379, Time  0.449434
2021-09-25 14:40:45.223688 : Epoch  8, Batch    408, Loss  0.875903, Average Loss  0.868250, Time  0.444767
2021-09-25 14:40:48.115803 : Epoch  8, Batch    753, Loss  0.852156, Average Loss  0.869319, Time  0.444998
2021-09-25 14:40:51.321789 : Epoch  8, Batch    409, Loss  0.870777, Average Loss  0.868251, Time  0.456027
2021-09-25 14:40:54.148136 : Epoch  8, Batch    754, Loss  0.863397, Average Loss  0.869247, Time  0.445063
2021-09-25 14:40:57.421902 : Epoch  8, Batch    410, Loss  0.881683, Average Loss  0.868357, Time  0.445111
2021-09-25 14:41:00.193803 : Epoch  8, Batch    755, Loss  0.852215, Average Loss  0.869214, Time  0.446511
2021-09-25 14:41:03.488782 : Epoch  8, Batch    411, Loss  0.878387, Average Loss  0.868471, Time  0.444876
2021-09-25 14:41:06.236010 : Epoch  8, Batch    756, Loss  0.878777, Average Loss  0.869316, Time  0.446182
2021-09-25 14:41:09.562464 : Epoch  8, Batch    412, Loss  0.864298, Average Loss  0.868452, Time  0.448134
2021-09-25 14:41:12.298250 : Epoch  8, Batch    757, Loss  0.875483, Average Loss  0.869275, Time  0.456901
2021-09-25 14:41:15.653878 : Epoch  8, Batch    413, Loss  0.862364, Average Loss  0.868423, Time  0.446753
2021-09-25 14:41:18.370959 : Epoch  8, Batch    758, Loss  0.862706, Average Loss  0.869264, Time  0.447135
2021-09-25 14:41:21.722948 : Epoch  8, Batch    414, Loss  0.883398, Average Loss  0.868511, Time  0.446163
2021-09-25 14:41:24.407333 : Epoch  8, Batch    759, Loss  0.866624, Average Loss  0.869207, Time  0.446790
2021-09-25 14:41:27.817793 : Epoch  8, Batch    415, Loss  0.872010, Average Loss  0.868496, Time  0.444433
2021-09-25 14:41:30.465441 : Epoch  8, Batch    760, Loss  0.864223, Average Loss  0.869149, Time  0.447289
2021-09-25 14:41:33.939107 : Epoch  8, Batch    416, Loss  0.856187, Average Loss  0.868432, Time  0.456349
2021-09-25 14:41:36.521456 : Epoch  8, Batch    761, Loss  0.875086, Average Loss  0.869136, Time  0.445812
2021-09-25 14:41:40.021108 : Epoch  8, Batch    417, Loss  0.881974, Average Loss  0.868480, Time  0.446032
2021-09-25 14:41:42.572599 : Epoch  8, Batch    762, Loss  0.859366, Average Loss  0.869106, Time  0.446900
2021-09-25 14:41:46.092555 : Epoch  8, Batch    418, Loss  0.870505, Average Loss  0.868481, Time  0.444053
2021-09-25 14:41:48.625801 : Epoch  8, Batch    763, Loss  0.881565, Average Loss  0.869097, Time  0.454409
2021-09-25 14:41:52.189866 : Epoch  8, Batch    419, Loss  0.881604, Average Loss  0.868540, Time  0.446218
2021-09-25 14:41:54.684143 : Epoch  8, Batch    764, Loss  0.859737, Average Loss  0.869016, Time  0.453753
2021-09-25 14:41:58.267655 : Epoch  8, Batch    420, Loss  0.865020, Average Loss  0.868513, Time  0.446770
2021-09-25 14:42:00.747309 : Epoch  8, Batch    765, Loss  0.864987, Average Loss  0.868965, Time  0.459552
2021-09-25 14:42:04.325692 : Epoch  8, Batch    421, Loss  0.866712, Average Loss  0.868555, Time  0.443970
2021-09-25 14:42:06.807645 : Epoch  8, Batch    766, Loss  0.862921, Average Loss  0.869001, Time  0.446227
2021-09-25 14:42:10.398648 : Epoch  8, Batch    422, Loss  0.873959, Average Loss  0.868561, Time  0.444872
2021-09-25 14:42:12.850128 : Epoch  8, Batch    767, Loss  0.877537, Average Loss  0.869051, Time  0.444494
2021-09-25 14:42:16.464553 : Epoch  8, Batch    423, Loss  0.865868, Average Loss  0.868539, Time  0.444497
2021-09-25 14:42:18.892117 : Epoch  8, Batch    768, Loss  0.860561, Average Loss  0.869053, Time  0.444531
2021-09-25 14:42:22.549559 : Epoch  8, Batch    424, Loss  0.852459, Average Loss  0.868400, Time  0.454596
2021-09-25 14:42:24.958681 : Epoch  8, Batch    769, Loss  0.868113, Average Loss  0.869086, Time  0.446864
2021-09-25 14:42:28.631733 : Epoch  8, Batch    425, Loss  0.867105, Average Loss  0.868418, Time  0.443785
2021-09-25 14:42:31.014379 : Epoch  8, Batch    770, Loss  0.867258, Average Loss  0.869054, Time  0.450334
2021-09-25 14:42:34.716720 : Epoch  8, Batch    426, Loss  0.874990, Average Loss  0.868537, Time  0.443739
2021-09-25 14:42:37.052522 : Epoch  8, Batch    771, Loss  0.878826, Average Loss  0.869084, Time  0.444341
2021-09-25 14:42:40.790482 : Epoch  8, Batch    427, Loss  0.875496, Average Loss  0.868710, Time  0.443959
2021-09-25 14:42:43.097326 : Epoch  8, Batch    772, Loss  0.859989, Average Loss  0.869008, Time  0.452591
2021-09-25 14:42:46.858879 : Epoch  8, Batch    428, Loss  0.872676, Average Loss  0.868660, Time  0.444472
2021-09-25 14:42:49.125383 : Epoch  8, Batch    773, Loss  0.856603, Average Loss  0.868948, Time  0.444935
2021-09-25 14:42:52.914561 : Epoch  8, Batch    429, Loss  0.861162, Average Loss  0.868645, Time  0.448079
2021-09-25 14:42:55.162367 : Epoch  8, Batch    774, Loss  0.872455, Average Loss  0.868975, Time  0.444760
2021-09-25 14:42:59.004712 : Epoch  8, Batch    430, Loss  0.871919, Average Loss  0.868675, Time  0.444223
2021-09-25 14:43:01.198304 : Epoch  8, Batch    775, Loss  0.860963, Average Loss  0.868925, Time  0.447264
2021-09-25 14:43:05.088701 : Epoch  8, Batch    431, Loss  0.869643, Average Loss  0.868673, Time  0.459195
2021-09-25 14:43:07.244831 : Epoch  8, Batch    776, Loss  0.870338, Average Loss  0.868967, Time  0.450525
2021-09-25 14:43:11.156812 : Epoch  8, Batch    432, Loss  0.877515, Average Loss  0.868628, Time  0.444082
2021-09-25 14:43:13.305574 : Epoch  8, Batch    777, Loss  0.860838, Average Loss  0.868895, Time  0.444341
2021-09-25 14:43:17.232263 : Epoch  8, Batch    433, Loss  0.861005, Average Loss  0.868585, Time  0.443904
2021-09-25 14:43:19.356539 : Epoch  8, Batch    778, Loss  0.876366, Average Loss  0.868886, Time  0.445121
2021-09-25 14:43:23.296608 : Epoch  8, Batch    434, Loss  0.876032, Average Loss  0.868546, Time  0.444363
2021-09-25 14:43:25.434860 : Epoch  8, Batch    779, Loss  0.859610, Average Loss  0.868859, Time  0.445877
2021-09-25 14:43:29.395600 : Epoch  8, Batch    435, Loss  0.864291, Average Loss  0.868485, Time  0.444166
2021-09-25 14:43:31.499688 : Epoch  8, Batch    780, Loss  0.877875, Average Loss  0.868895, Time  0.457257
2021-09-25 14:43:35.466983 : Epoch  8, Batch    436, Loss  0.877104, Average Loss  0.868597, Time  0.443926
2021-09-25 14:43:37.569764 : Epoch  8, Batch    781, Loss  0.869472, Average Loss  0.868904, Time  0.447205
2021-09-25 14:43:41.542178 : Epoch  8, Batch    437, Loss  0.866012, Average Loss  0.868615, Time  0.450954
2021-09-25 14:43:43.611087 : Epoch  8, Batch    782, Loss  0.875921, Average Loss  0.868986, Time  0.444980
2021-09-25 14:43:47.624569 : Epoch  8, Batch    438, Loss  0.869300, Average Loss  0.868623, Time  0.446012
2021-09-25 14:43:49.654168 : Epoch  8, Batch    783, Loss  0.863317, Average Loss  0.868929, Time  0.445284
2021-09-25 14:43:53.718496 : Epoch  8, Batch    439, Loss  0.870112, Average Loss  0.868698, Time  0.459187
2021-09-25 14:43:55.701647 : Epoch  8, Batch    784, Loss  0.888023, Average Loss  0.869016, Time  0.446661
2021-09-25 14:43:59.810435 : Epoch  8, Batch    440, Loss  0.866868, Average Loss  0.868705, Time  0.447134
2021-09-25 14:44:01.770357 : Epoch  8, Batch    785, Loss  0.871283, Average Loss  0.869067, Time  0.445232
2021-09-25 14:44:05.891698 : Epoch  8, Batch    441, Loss  0.880828, Average Loss  0.868698, Time  0.446205
2021-09-25 14:44:07.810631 : Epoch  8, Batch    786, Loss  0.860039, Average Loss  0.868947, Time  0.446512
2021-09-25 14:44:11.963646 : Epoch  8, Batch    442, Loss  0.863581, Average Loss  0.868610, Time  0.448880
2021-09-25 14:44:13.887849 : Epoch  8, Batch    787, Loss  0.853720, Average Loss  0.868838, Time  0.467445
2021-09-25 14:44:18.043016 : Epoch  8, Batch    443, Loss  0.854639, Average Loss  0.868555, Time  0.447232
2021-09-25 14:44:19.939780 : Epoch  8, Batch    788, Loss  0.863497, Average Loss  0.868825, Time  0.445211
2021-09-25 14:44:24.104205 : Epoch  8, Batch    444, Loss  0.867657, Average Loss  0.868562, Time  0.444046
2021-09-25 14:44:25.993858 : Epoch  8, Batch    789, Loss  0.861924, Average Loss  0.868812, Time  0.446360
2021-09-25 14:44:30.202304 : Epoch  8, Batch    445, Loss  0.861118, Average Loss  0.868517, Time  0.446363
2021-09-25 14:44:32.030127 : Epoch  8, Batch    790, Loss  0.866802, Average Loss  0.868802, Time  0.445295
2021-09-25 14:44:36.268472 : Epoch  8, Batch    446, Loss  0.883197, Average Loss  0.868568, Time  0.455628
2021-09-25 14:44:38.094961 : Epoch  8, Batch    791, Loss  0.866443, Average Loss  0.868816, Time  0.448582
2021-09-25 14:44:42.358183 : Epoch  8, Batch    447, Loss  0.867964, Average Loss  0.868588, Time  0.443990
2021-09-25 14:44:44.135421 : Epoch  8, Batch    792, Loss  0.885021, Average Loss  0.868844, Time  0.445544
2021-09-25 14:44:48.457696 : Epoch  8, Batch    448, Loss  0.880462, Average Loss  0.868622, Time  0.444332
2021-09-25 14:44:50.193416 : Epoch  8, Batch    793, Loss  0.882325, Average Loss  0.868964, Time  0.446915
2021-09-25 14:44:54.530516 : Epoch  8, Batch    449, Loss  0.871496, Average Loss  0.868615, Time  0.444978
2021-09-25 14:44:56.245074 : Epoch  8, Batch    794, Loss  0.882419, Average Loss  0.869045, Time  0.446350
2021-09-25 14:45:00.614611 : Epoch  8, Batch    450, Loss  0.864705, Average Loss  0.868593, Time  0.449465
2021-09-25 14:45:02.320662 : Epoch  8, Batch    795, Loss  0.877263, Average Loss  0.869043, Time  0.455873
2021-09-25 14:45:06.687037 : Epoch  8, Batch    451, Loss  0.855457, Average Loss  0.868516, Time  0.444382
2021-09-25 14:45:08.388677 : Epoch  8, Batch    796, Loss  0.854554, Average Loss  0.868892, Time  0.445018
2021-09-25 14:45:12.765231 : Epoch  8, Batch    452, Loss  0.869353, Average Loss  0.868403, Time  0.445018
2021-09-25 14:45:14.438274 : Epoch  8, Batch    797, Loss  0.865914, Average Loss  0.868883, Time  0.447060
2021-09-25 14:45:18.840915 : Epoch  8, Batch    453, Loss  0.864279, Average Loss  0.868267, Time  0.445784
2021-09-25 14:45:20.509796 : Epoch  8, Batch    798, Loss  0.868013, Average Loss  0.868865, Time  0.445637
2021-09-25 14:45:24.941970 : Epoch  8, Batch    454, Loss  0.882872, Average Loss  0.868322, Time  0.460743
2021-09-25 14:45:26.552651 : Epoch  8, Batch    799, Loss  0.864568, Average Loss  0.868856, Time  0.445241
2021-09-25 14:45:31.022663 : Epoch  8, Batch    455, Loss  0.871150, Average Loss  0.868289, Time  0.444910
2021-09-25 14:45:32.601693 : Epoch  8, Batch    800, Loss  0.878366, Average Loss  0.868947, Time  0.444934
2021-09-25 14:45:37.136735 : Epoch  8, Batch    456, Loss  0.864583, Average Loss  0.868261, Time  0.444766
2021-09-25 14:45:38.644539 : Epoch  8, Batch    801, Loss  0.866794, Average Loss  0.868944, Time  0.446155
2021-09-25 14:45:43.208380 : Epoch  8, Batch    457, Loss  0.855145, Average Loss  0.868213, Time  0.443219
2021-09-25 14:45:44.702705 : Epoch  8, Batch    802, Loss  0.855817, Average Loss  0.868897, Time  0.457261
2021-09-25 14:45:49.266949 : Epoch  8, Batch    458, Loss  0.873572, Average Loss  0.868349, Time  0.445760
2021-09-25 14:45:50.738348 : Epoch  8, Batch    803, Loss  0.875121, Average Loss  0.868889, Time  0.445295
2021-09-25 14:45:55.346288 : Epoch  8, Batch    459, Loss  0.871033, Average Loss  0.868365, Time  0.447867
2021-09-25 14:45:56.787754 : Epoch  8, Batch    804, Loss  0.867065, Average Loss  0.868852, Time  0.448134
2021-09-25 14:46:01.433845 : Epoch  8, Batch    460, Loss  0.875399, Average Loss  0.868422, Time  0.448375
2021-09-25 14:46:07.502221 : Epoch  8, Batch    461, Loss  0.852117, Average Loss  0.868365, Time  0.456117
2021-09-25 14:46:13.577280 : Epoch  8, Batch    462, Loss  0.870587, Average Loss  0.868353, Time  0.444231
2021-09-25 14:46:19.659421 : Epoch  8, Batch    463, Loss  0.873330, Average Loss  0.868415, Time  0.444572
2021-09-25 14:46:25.784661 : Epoch  8, Batch    464, Loss  0.876715, Average Loss  0.868418, Time  0.444233
2021-09-25 14:46:31.856413 : Epoch  8, Batch    465, Loss  0.866036, Average Loss  0.868355, Time  0.444374
2021-09-25 14:46:37.939071 : Epoch  8, Batch    466, Loss  0.866450, Average Loss  0.868333, Time  0.444430
2021-09-25 14:46:44.027053 : Epoch  8, Batch    467, Loss  0.854753, Average Loss  0.868275, Time  0.444142
2021-09-25 14:46:50.142898 : Epoch  8, Batch    468, Loss  0.868380, Average Loss  0.868304, Time  0.443915
2021-09-25 14:46:56.243599 : Epoch  8, Batch    469, Loss  0.868791, Average Loss  0.868240, Time  0.457827
2021-09-25 14:47:02.335091 : Epoch  8, Batch    470, Loss  0.888521, Average Loss  0.868336, Time  0.444702
2021-09-25 14:47:08.427358 : Epoch  8, Batch    471, Loss  0.865553, Average Loss  0.868375, Time  0.444570
2021-09-25 14:47:14.503191 : Epoch  8, Batch    472, Loss  0.866108, Average Loss  0.868389, Time  0.444104
2021-09-25 14:47:20.564898 : Epoch  8, Batch    473, Loss  0.862681, Average Loss  0.868264, Time  0.445015
2021-09-25 14:47:26.645403 : Epoch  8, Batch    474, Loss  0.870007, Average Loss  0.868227, Time  0.449903
2021-09-25 14:47:32.727827 : Epoch  8, Batch    475, Loss  0.873019, Average Loss  0.868270, Time  0.445922
2021-09-25 14:47:38.812790 : Epoch  8, Batch    476, Loss  0.883903, Average Loss  0.868362, Time  0.460344
2021-09-25 14:47:44.887286 : Epoch  8, Batch    477, Loss  0.864482, Average Loss  0.868317, Time  0.445025
2021-09-25 14:47:50.974351 : Epoch  8, Batch    478, Loss  0.857260, Average Loss  0.868276, Time  0.445044
2021-09-25 14:47:57.035663 : Epoch  8, Batch    479, Loss  0.862623, Average Loss  0.868196, Time  0.445195
2021-09-25 14:48:03.149865 : Epoch  8, Batch    480, Loss  0.876058, Average Loss  0.868211, Time  0.444968
2021-09-25 14:48:09.219039 : Epoch  8, Batch    481, Loss  0.873668, Average Loss  0.868230, Time  0.444396
2021-09-25 14:48:15.308673 : Epoch  8, Batch    482, Loss  0.881034, Average Loss  0.868334, Time  0.444397
2021-09-25 14:48:21.390563 : Epoch  8, Batch    483, Loss  0.863994, Average Loss  0.868362, Time  0.446151
2021-09-25 14:48:27.474633 : Epoch  8, Batch    484, Loss  0.876463, Average Loss  0.868424, Time  0.460759
2021-09-25 14:48:33.552224 : Epoch  8, Batch    485, Loss  0.884451, Average Loss  0.868571, Time  0.444247
2021-09-25 14:48:39.638102 : Epoch  8, Batch    486, Loss  0.852482, Average Loss  0.868495, Time  0.444901
2021-09-25 14:48:45.727795 : Epoch  8, Batch    487, Loss  0.883381, Average Loss  0.868603, Time  0.446362
2021-09-25 14:48:51.786601 : Epoch  8, Batch    488, Loss  0.865275, Average Loss  0.868611, Time  0.444778
2021-09-25 14:48:57.864095 : Epoch  8, Batch    489, Loss  0.874711, Average Loss  0.868695, Time  0.447174
2021-09-25 14:49:03.949904 : Epoch  8, Batch    490, Loss  0.867206, Average Loss  0.868723, Time  0.447698
2021-09-25 14:49:10.045941 : Epoch  8, Batch    491, Loss  0.878520, Average Loss  0.868691, Time  0.460042
2021-09-25 14:49:16.110255 : Epoch  8, Batch    492, Loss  0.881445, Average Loss  0.868768, Time  0.444792
2021-09-25 14:49:22.202487 : Epoch  8, Batch    493, Loss  0.891400, Average Loss  0.868773, Time  0.445845
2021-09-25 14:49:28.260066 : Epoch  8, Batch    494, Loss  0.861891, Average Loss  0.868766, Time  0.444171
2021-09-25 14:49:34.322031 : Epoch  8, Batch    495, Loss  0.860265, Average Loss  0.868657, Time  0.444495
2021-09-25 14:49:40.386544 : Epoch  8, Batch    496, Loss  0.866026, Average Loss  0.868587, Time  0.443846
2021-09-25 14:49:46.508870 : Epoch  8, Batch    497, Loss  0.871082, Average Loss  0.868618, Time  0.447354
2021-09-25 14:49:52.605260 : Epoch  8, Batch    498, Loss  0.861198, Average Loss  0.868649, Time  0.445212
2021-09-25 14:49:58.698368 : Epoch  8, Batch    499, Loss  0.866301, Average Loss  0.868675, Time  0.459466
2021-09-25 14:50:04.789387 : Epoch  8, Batch    500, Loss  0.879400, Average Loss  0.868735, Time  0.444618
2021-09-25 14:50:10.857494 : Epoch  8, Batch    501, Loss  0.862895, Average Loss  0.868771, Time  0.452644
2021-09-25 14:50:16.943296 : Epoch  8, Batch    502, Loss  0.874157, Average Loss  0.868787, Time  0.443578
2021-09-25 14:50:23.012961 : Epoch  8, Batch    503, Loss  0.875348, Average Loss  0.868767, Time  0.444550
2021-09-25 14:50:34.642598 : Epoch  8, Batch    504, Loss  0.866635, Average Loss  0.868701, Time  0.445225
2021-09-25 14:50:41.049872 : CheckPoint: Validation Loss  0.00014823, Best Loss  0.00014804
2021-09-25 14:50:47.122867 : Epoch  8, Batch    805, Loss  0.866477, Average Loss  0.868839, Time  0.445117
2021-09-25 14:50:53.191056 : Epoch  8, Batch    806, Loss  0.882252, Average Loss  0.868979, Time  0.444927
2021-09-25 14:50:59.242841 : Epoch  8, Batch    807, Loss  0.885132, Average Loss  0.869059, Time  0.447675
2021-09-25 14:51:05.314158 : Epoch  8, Batch    808, Loss  0.869320, Average Loss  0.869115, Time  0.456872
2021-09-25 14:51:11.371790 : Epoch  8, Batch    809, Loss  0.876080, Average Loss  0.869110, Time  0.445796
2021-09-25 14:51:17.416045 : Epoch  8, Batch    810, Loss  0.869909, Average Loss  0.869123, Time  0.447479
2021-09-25 14:51:23.471602 : Epoch  8, Batch    811, Loss  0.859926, Average Loss  0.869170, Time  0.445388
2021-09-25 14:51:29.525527 : Epoch  8, Batch    812, Loss  0.873062, Average Loss  0.869145, Time  0.445450
2021-09-25 14:51:35.600831 : Epoch  8, Batch    813, Loss  0.866019, Average Loss  0.869093, Time  0.444994
2021-09-25 14:51:41.657060 : Epoch  8, Batch    814, Loss  0.867109, Average Loss  0.869095, Time  0.446768
2021-09-25 14:51:47.707845 : Epoch  8, Batch    815, Loss  0.847614, Average Loss  0.868971, Time  0.447315
2021-09-25 14:51:53.790460 : Epoch  8, Batch    816, Loss  0.871084, Average Loss  0.868971, Time  0.455074
2021-09-25 14:51:59.840503 : Epoch  8, Batch    817, Loss  0.865950, Average Loss  0.868995, Time  0.446777
2021-09-25 14:52:05.902570 : Epoch  8, Batch    818, Loss  0.865458, Average Loss  0.869001, Time  0.447152
2021-09-25 14:52:11.959129 : Epoch  8, Batch    819, Loss  0.852859, Average Loss  0.869044, Time  0.445081
2021-09-25 14:52:18.000838 : Epoch  8, Batch    820, Loss  0.877917, Average Loss  0.869118, Time  0.446317
2021-09-25 14:52:24.053559 : Epoch  8, Batch    821, Loss  0.860246, Average Loss  0.869092, Time  0.444420
2021-09-25 14:52:30.107425 : Epoch  8, Batch    822, Loss  0.859134, Average Loss  0.869029, Time  0.448659
2021-09-25 14:52:36.183444 : Epoch  8, Batch    823, Loss  0.867960, Average Loss  0.869025, Time  0.456572
2021-09-25 14:52:42.229776 : Epoch  8, Batch    824, Loss  0.857070, Average Loss  0.868854, Time  0.447308
2021-09-25 14:52:48.292446 : Epoch  8, Batch    825, Loss  0.867786, Average Loss  0.868843, Time  0.445534
2021-09-25 14:52:54.326129 : Epoch  8, Batch    826, Loss  0.856963, Average Loss  0.868784, Time  0.446333
2021-09-25 14:53:00.370343 : Epoch  8, Batch    827, Loss  0.871287, Average Loss  0.868782, Time  0.445153
2021-09-25 14:53:06.413497 : Epoch  8, Batch    828, Loss  0.870483, Average Loss  0.868742, Time  0.450522
2021-09-25 14:53:12.450475 : Epoch  8, Batch    829, Loss  0.862338, Average Loss  0.868703, Time  0.445518
2021-09-25 14:53:18.512135 : Epoch  8, Batch    830, Loss  0.862804, Average Loss  0.868650, Time  0.445610
2021-09-25 14:53:24.575712 : Epoch  8, Batch    831, Loss  0.858132, Average Loss  0.868594, Time  0.464624
2021-09-25 14:53:30.637415 : Epoch  8, Batch    832, Loss  0.856423, Average Loss  0.868519, Time  0.449529
2021-09-25 14:53:36.696204 : Epoch  8, Batch    833, Loss  0.874008, Average Loss  0.868541, Time  0.444767
2021-09-25 14:53:42.739861 : Epoch  8, Batch    834, Loss  0.876315, Average Loss  0.868569, Time  0.446007
2021-09-25 14:53:48.790998 : Epoch  8, Batch    835, Loss  0.867259, Average Loss  0.868553, Time  0.450978
2021-09-25 14:53:54.843979 : Epoch  8, Batch    836, Loss  0.861132, Average Loss  0.868589, Time  0.445018
2021-09-25 14:54:00.920494 : Epoch  8, Batch    837, Loss  0.868401, Average Loss  0.868599, Time  0.449278
2021-09-25 14:54:06.995541 : Epoch  8, Batch    838, Loss  0.874392, Average Loss  0.868661, Time  0.451804
2021-09-25 14:54:13.063279 : Epoch  8, Batch    839, Loss  0.871070, Average Loss  0.868635, Time  0.447745
2021-09-25 14:54:19.109788 : Epoch  8, Batch    840, Loss  0.857258, Average Loss  0.868542, Time  0.445588
2021-09-25 14:54:25.165279 : Epoch  8, Batch    841, Loss  0.870754, Average Loss  0.868547, Time  0.445184
2021-09-25 14:54:31.218976 : Epoch  8, Batch    842, Loss  0.878547, Average Loss  0.868646, Time  0.445628
2021-09-25 14:54:37.276557 : Epoch  8, Batch    843, Loss  0.871302, Average Loss  0.868658, Time  0.446202
2021-09-25 14:54:43.332595 : Epoch  8, Batch    844, Loss  0.872895, Average Loss  0.868591, Time  0.446637
2021-09-25 14:54:49.392818 : Epoch  8, Batch    845, Loss  0.878659, Average Loss  0.868655, Time  0.445034
2021-09-25 14:54:55.488921 : Epoch  8, Batch    846, Loss  0.868193, Average Loss  0.868696, Time  0.461126
2021-09-25 14:55:01.585886 : Epoch  8, Batch    847, Loss  0.882131, Average Loss  0.868744, Time  0.445330
2021-09-25 14:55:07.636647 : Epoch  8, Batch    848, Loss  0.868487, Average Loss  0.868722, Time  0.444937
2021-09-25 14:55:13.673573 : Epoch  8, Batch    849, Loss  0.884539, Average Loss  0.868812, Time  0.445930
2021-09-25 14:55:18.164444 : CheckPoint: Validation Loss  0.00015197, Best Loss  0.00014758
2021-09-25 14:55:19.718363 : Epoch  8, Batch    850, Loss  0.865281, Average Loss  0.868799, Time  0.446577
2021-09-25 14:55:24.163513 : Epoch  8, Batch    505, Loss  0.876416, Average Loss  0.868718, Time  0.448751
2021-09-25 14:55:25.805751 : Epoch  8, Batch    851, Loss  0.879806, Average Loss  0.868848, Time  0.445312
2021-09-25 14:55:30.221178 : Epoch  8, Batch    506, Loss  0.873998, Average Loss  0.868734, Time  0.447793
2021-09-25 14:55:31.868854 : Epoch  8, Batch    852, Loss  0.852802, Average Loss  0.868824, Time  0.449137
2021-09-25 14:55:36.299738 : Epoch  8, Batch    507, Loss  0.862911, Average Loss  0.868742, Time  0.443773
2021-09-25 14:55:37.953995 : Epoch  8, Batch    853, Loss  0.874372, Average Loss  0.868798, Time  0.461805
2021-09-25 14:55:42.377025 : Epoch  8, Batch    508, Loss  0.880019, Average Loss  0.868798, Time  0.444193
2021-09-25 14:55:44.015197 : Epoch  8, Batch    854, Loss  0.862280, Average Loss  0.868704, Time  0.444304
2021-09-25 14:55:48.442952 : Epoch  8, Batch    509, Loss  0.877629, Average Loss  0.868816, Time  0.447001
2021-09-25 14:55:50.090627 : Epoch  8, Batch    855, Loss  0.872772, Average Loss  0.868657, Time  0.445652
2021-09-25 14:55:54.487354 : Epoch  8, Batch    510, Loss  0.864213, Average Loss  0.868725, Time  0.445595
2021-09-25 14:55:56.144006 : Epoch  8, Batch    856, Loss  0.867154, Average Loss  0.868669, Time  0.445022
2021-09-25 14:56:00.549364 : Epoch  8, Batch    511, Loss  0.865615, Average Loss  0.868740, Time  0.446847
2021-09-25 14:56:02.215653 : Epoch  8, Batch    857, Loss  0.872077, Average Loss  0.868640, Time  0.447518
2021-09-25 14:56:06.612803 : Epoch  8, Batch    512, Loss  0.876851, Average Loss  0.868762, Time  0.454562
2021-09-25 14:56:08.263769 : Epoch  8, Batch    858, Loss  0.865856, Average Loss  0.868617, Time  0.446350
2021-09-25 14:56:12.667780 : Epoch  8, Batch    513, Loss  0.876727, Average Loss  0.868789, Time  0.443963
2021-09-25 14:56:14.326942 : Epoch  8, Batch    859, Loss  0.862227, Average Loss  0.868622, Time  0.447679
2021-09-25 14:56:18.706392 : Epoch  8, Batch    514, Loss  0.867646, Average Loss  0.868835, Time  0.443839
2021-09-25 14:56:20.366209 : Epoch  8, Batch    860, Loss  0.871076, Average Loss  0.868591, Time  0.449020
2021-09-25 14:56:24.746706 : Epoch  8, Batch    515, Loss  0.890148, Average Loss  0.868883, Time  0.443948
2021-09-25 14:56:26.432270 : Epoch  8, Batch    861, Loss  0.876493, Average Loss  0.868562, Time  0.459443
2021-09-25 14:56:30.810017 : Epoch  8, Batch    516, Loss  0.864811, Average Loss  0.868859, Time  0.447804
2021-09-25 14:56:32.488258 : Epoch  8, Batch    862, Loss  0.862021, Average Loss  0.868480, Time  0.449745
2021-09-25 14:56:36.881654 : Epoch  8, Batch    517, Loss  0.871993, Average Loss  0.868879, Time  0.444637
2021-09-25 14:56:38.547543 : Epoch  8, Batch    863, Loss  0.870163, Average Loss  0.868571, Time  0.445782
2021-09-25 14:56:42.924355 : Epoch  8, Batch    518, Loss  0.866363, Average Loss  0.868854, Time  0.445094
2021-09-25 14:56:44.600089 : Epoch  8, Batch    864, Loss  0.872057, Average Loss  0.868569, Time  0.445739
2021-09-25 14:56:49.020382 : Epoch  8, Batch    519, Loss  0.867282, Average Loss  0.868812, Time  0.461054
2021-09-25 14:56:50.643785 : Epoch  8, Batch    865, Loss  0.864522, Average Loss  0.868570, Time  0.445250
2021-09-25 14:56:55.065248 : Epoch  8, Batch    520, Loss  0.874278, Average Loss  0.868898, Time  0.454678
2021-09-25 14:56:56.679531 : Epoch  8, Batch    866, Loss  0.866689, Average Loss  0.868523, Time  0.444477
2021-09-25 14:57:01.094094 : Epoch  8, Batch    521, Loss  0.873171, Average Loss  0.868885, Time  0.446088
2021-09-25 14:57:02.726239 : Epoch  8, Batch    867, Loss  0.866525, Average Loss  0.868538, Time  0.445499
2021-09-25 14:57:07.133918 : Epoch  8, Batch    522, Loss  0.860252, Average Loss  0.868858, Time  0.448187
2021-09-25 14:57:08.781610 : Epoch  8, Batch    868, Loss  0.875891, Average Loss  0.868566, Time  0.454785
2021-09-25 14:57:13.179443 : Epoch  8, Batch    523, Loss  0.865170, Average Loss  0.868850, Time  0.450390
2021-09-25 14:57:14.832243 : Epoch  8, Batch    869, Loss  0.877346, Average Loss  0.868597, Time  0.444767
2021-09-25 14:57:19.229148 : Epoch  8, Batch    524, Loss  0.858899, Average Loss  0.868815, Time  0.446052
2021-09-25 14:57:20.874499 : Epoch  8, Batch    870, Loss  0.855251, Average Loss  0.868501, Time  0.445085
2021-09-25 14:57:25.263016 : Epoch  8, Batch    525, Loss  0.873924, Average Loss  0.868897, Time  0.444636
2021-09-25 14:57:26.922685 : Epoch  8, Batch    871, Loss  0.857557, Average Loss  0.868458, Time  0.445231
2021-09-25 14:57:31.325816 : Epoch  8, Batch    526, Loss  0.873256, Average Loss  0.868872, Time  0.443709
2021-09-25 14:57:32.982968 : Epoch  8, Batch    872, Loss  0.890789, Average Loss  0.868538, Time  0.447217
2021-09-25 14:57:37.396721 : Epoch  8, Batch    527, Loss  0.881842, Average Loss  0.868991, Time  0.449950
2021-09-25 14:57:39.039598 : Epoch  8, Batch    873, Loss  0.877762, Average Loss  0.868542, Time  0.443794
2021-09-25 14:57:43.442790 : Epoch  8, Batch    528, Loss  0.861333, Average Loss  0.868919, Time  0.444959
2021-09-25 14:57:45.112852 : Epoch  8, Batch    874, Loss  0.855220, Average Loss  0.868489, Time  0.448058
2021-09-25 14:57:49.497332 : Epoch  8, Batch    529, Loss  0.865504, Average Loss  0.868914, Time  0.448166
2021-09-25 14:57:51.171939 : Epoch  8, Batch    875, Loss  0.880489, Average Loss  0.868461, Time  0.444778
2021-09-25 14:57:55.581921 : Epoch  8, Batch    530, Loss  0.878929, Average Loss  0.868965, Time  0.448530
2021-09-25 14:57:57.234382 : Epoch  8, Batch    876, Loss  0.863672, Average Loss  0.868388, Time  0.456424
2021-09-25 14:58:01.618489 : Epoch  8, Batch    531, Loss  0.881815, Average Loss  0.869137, Time  0.448334
2021-09-25 14:58:03.319191 : Epoch  8, Batch    877, Loss  0.860138, Average Loss  0.868365, Time  0.445184
2021-09-25 14:58:07.690513 : Epoch  8, Batch    532, Loss  0.877597, Average Loss  0.869167, Time  0.444420
2021-09-25 14:58:09.378739 : Epoch  8, Batch    878, Loss  0.867841, Average Loss  0.868433, Time  0.444710
2021-09-25 14:58:13.748769 : Epoch  8, Batch    533, Loss  0.876592, Average Loss  0.869229, Time  0.444835
2021-09-25 14:58:15.438470 : Epoch  8, Batch    879, Loss  0.863190, Average Loss  0.868460, Time  0.444969
2021-09-25 14:58:19.823556 : Epoch  8, Batch    534, Loss  0.877563, Average Loss  0.869236, Time  0.454703
2021-09-25 14:58:21.495621 : Epoch  8, Batch    880, Loss  0.870908, Average Loss  0.868396, Time  0.445058
2021-09-25 14:58:25.888513 : Epoch  8, Batch    535, Loss  0.862494, Average Loss  0.869293, Time  0.444442
2021-09-25 14:58:27.540359 : Epoch  8, Batch    881, Loss  0.872426, Average Loss  0.868480, Time  0.445348
2021-09-25 14:58:31.956163 : Epoch  8, Batch    536, Loss  0.861993, Average Loss  0.869322, Time  0.444062
2021-09-25 14:58:33.596921 : Epoch  8, Batch    882, Loss  0.872500, Average Loss  0.868381, Time  0.452565
2021-09-25 14:58:38.018848 : Epoch  8, Batch    537, Loss  0.878128, Average Loss  0.869408, Time  0.445507
2021-09-25 14:58:39.657316 : Epoch  8, Batch    883, Loss  0.875285, Average Loss  0.868356, Time  0.457901
2021-09-25 14:58:44.059431 : Epoch  8, Batch    538, Loss  0.871160, Average Loss  0.869357, Time  0.445600
2021-09-25 14:58:45.728871 : Epoch  8, Batch    884, Loss  0.854016, Average Loss  0.868227, Time  0.448966
2021-09-25 14:58:50.136667 : Epoch  8, Batch    539, Loss  0.867347, Average Loss  0.869389, Time  0.445580
2021-09-25 14:58:51.777529 : Epoch  8, Batch    885, Loss  0.861804, Average Loss  0.868182, Time  0.446236
2021-09-25 14:58:56.203217 : Epoch  8, Batch    540, Loss  0.868628, Average Loss  0.869452, Time  0.446462
2021-09-25 14:58:57.844995 : Epoch  8, Batch    886, Loss  0.876443, Average Loss  0.868209, Time  0.446828
2021-09-25 14:59:02.261851 : Epoch  8, Batch    541, Loss  0.866486, Average Loss  0.869362, Time  0.447168
2021-09-25 14:59:03.903609 : Epoch  8, Batch    887, Loss  0.867436, Average Loss  0.868220, Time  0.449791
2021-09-25 14:59:08.315048 : Epoch  8, Batch    542, Loss  0.866246, Average Loss  0.869387, Time  0.451727
2021-09-25 14:59:09.940329 : Epoch  8, Batch    888, Loss  0.874471, Average Loss  0.868303, Time  0.445219
2021-09-25 14:59:14.369092 : Epoch  8, Batch    543, Loss  0.862314, Average Loss  0.869366, Time  0.445024
2021-09-25 14:59:16.017500 : Epoch  8, Batch    889, Loss  0.881165, Average Loss  0.868404, Time  0.445824
2021-09-25 14:59:20.428242 : Epoch  8, Batch    544, Loss  0.858222, Average Loss  0.869299, Time  0.448036
2021-09-25 14:59:22.069774 : Epoch  8, Batch    890, Loss  0.877034, Average Loss  0.868408, Time  0.445161
2021-09-25 14:59:26.506960 : Epoch  8, Batch    545, Loss  0.861119, Average Loss  0.869243, Time  0.447566
2021-09-25 14:59:28.137854 : Epoch  8, Batch    891, Loss  0.866881, Average Loss  0.868408, Time  0.456928
2021-09-25 14:59:32.587895 : Epoch  8, Batch    546, Loss  0.870190, Average Loss  0.869250, Time  0.445473
2021-09-25 14:59:34.213394 : Epoch  8, Batch    892, Loss  0.865976, Average Loss  0.868470, Time  0.444906
2021-09-25 14:59:38.626831 : Epoch  8, Batch    547, Loss  0.877007, Average Loss  0.869311, Time  0.444498
2021-09-25 14:59:40.251861 : Epoch  8, Batch    893, Loss  0.861326, Average Loss  0.868396, Time  0.444734
2021-09-25 14:59:44.668507 : Epoch  8, Batch    548, Loss  0.867934, Average Loss  0.869271, Time  0.447156
2021-09-25 14:59:46.302417 : Epoch  8, Batch    894, Loss  0.866533, Average Loss  0.868369, Time  0.445745
2021-09-25 14:59:50.734505 : Epoch  8, Batch    549, Loss  0.863207, Average Loss  0.869253, Time  0.454762
2021-09-25 14:59:50.770138 : Epoch  8, Batch    895, Loss  0.866958, Average Loss  0.868469, Time  0.345836
2021-09-25 14:59:56.804878 : Epoch  8, Batch    550, Loss  0.870765, Average Loss  0.869202, Time  0.447105
2021-09-25 14:59:56.845528 : Epoch  8, Batch    896, Loss  0.869633, Average Loss  0.868445, Time  0.446016
2021-09-25 15:00:02.838861 : Epoch  8, Batch    551, Loss  0.868176, Average Loss  0.869308, Time  0.444925
2021-09-25 15:00:02.895020 : Epoch  8, Batch    897, Loss  0.873901, Average Loss  0.868511, Time  0.444808
2021-09-25 15:00:08.890312 : Epoch  8, Batch    552, Loss  0.861504, Average Loss  0.869246, Time  0.444943
2021-09-25 15:00:08.947606 : Epoch  8, Batch    898, Loss  0.872399, Average Loss  0.868469, Time  0.445078
2021-09-25 15:00:14.928535 : Epoch  8, Batch    553, Loss  0.858868, Average Loss  0.869228, Time  0.445052
2021-09-25 15:00:15.019350 : Epoch  8, Batch    899, Loss  0.862123, Average Loss  0.868484, Time  0.459527
2021-09-25 15:00:20.970336 : Epoch  8, Batch    554, Loss  0.860731, Average Loss  0.869226, Time  0.446410
2021-09-25 15:00:21.069023 : Epoch  8, Batch    900, Loss  0.860958, Average Loss  0.868353, Time  0.445569
2021-09-25 15:00:27.043802 : Epoch  8, Batch    555, Loss  0.880569, Average Loss  0.869281, Time  0.446490
2021-09-25 15:00:27.116215 : Epoch  8, Batch    901, Loss  0.863248, Average Loss  0.868317, Time  0.444663
2021-09-25 15:00:33.097551 : Epoch  8, Batch    556, Loss  0.864944, Average Loss  0.869301, Time  0.444597
2021-09-25 15:00:33.168134 : Epoch  8, Batch    902, Loss  0.866125, Average Loss  0.868305, Time  0.445136
2021-09-25 15:00:39.147572 : Epoch  8, Batch    557, Loss  0.870088, Average Loss  0.869368, Time  0.457884
2021-09-25 15:00:39.214794 : Epoch  8, Batch    903, Loss  0.873365, Average Loss  0.868327, Time  0.448409
2021-09-25 15:00:45.188775 : Epoch  8, Batch    558, Loss  0.874202, Average Loss  0.869411, Time  0.445243
2021-09-25 15:00:45.268483 : Epoch  8, Batch    904, Loss  0.856502, Average Loss  0.868262, Time  0.445596
2021-09-25 15:00:51.255206 : Epoch  8, Batch    559, Loss  0.853136, Average Loss  0.869368, Time  0.446145
2021-09-25 15:00:57.290587 : Epoch  8, Batch    560, Loss  0.871665, Average Loss  0.869327, Time  0.445130
2021-09-25 15:01:03.360765 : Epoch  8, Batch    561, Loss  0.863565, Average Loss  0.869259, Time  0.447501
2021-09-25 15:01:09.441096 : Epoch  8, Batch    562, Loss  0.874236, Average Loss  0.869378, Time  0.444068
2021-09-25 15:01:15.511906 : Epoch  8, Batch    563, Loss  0.853115, Average Loss  0.869272, Time  0.444422
2021-09-25 15:01:21.592203 : Epoch  8, Batch    564, Loss  0.860227, Average Loss  0.869174, Time  0.459497
2021-09-25 15:01:27.633280 : Epoch  8, Batch    565, Loss  0.884521, Average Loss  0.869249, Time  0.451107
2021-09-25 15:01:33.688967 : Epoch  8, Batch    566, Loss  0.873259, Average Loss  0.869271, Time  0.444758
2021-09-25 15:01:39.738382 : Epoch  8, Batch    567, Loss  0.865865, Average Loss  0.869222, Time  0.445118
2021-09-25 15:01:45.805588 : Epoch  8, Batch    568, Loss  0.873474, Average Loss  0.869247, Time  0.447104
2021-09-25 15:01:51.852210 : Epoch  8, Batch    569, Loss  0.864924, Average Loss  0.869203, Time  0.444563
2021-09-25 15:01:57.927901 : Epoch  8, Batch    570, Loss  0.874723, Average Loss  0.869203, Time  0.446348
2021-09-25 15:02:03.984534 : Epoch  8, Batch    571, Loss  0.860419, Average Loss  0.869148, Time  0.444210
2021-09-25 15:02:10.066701 : Epoch  8, Batch    572, Loss  0.864224, Average Loss  0.869111, Time  0.456827
2021-09-25 15:02:16.142302 : Epoch  8, Batch    573, Loss  0.884182, Average Loss  0.869175, Time  0.444814
2021-09-25 15:02:22.194796 : Epoch  8, Batch    574, Loss  0.866273, Average Loss  0.869154, Time  0.444288
2021-09-25 15:02:28.278314 : Epoch  8, Batch    575, Loss  0.870801, Average Loss  0.869201, Time  0.444470
2021-09-25 15:02:34.349741 : Epoch  8, Batch    576, Loss  0.876804, Average Loss  0.869330, Time  0.449757
2021-09-25 15:02:40.396903 : Epoch  8, Batch    577, Loss  0.859708, Average Loss  0.869322, Time  0.444569
2021-09-25 15:02:46.430991 : Epoch  8, Batch    578, Loss  0.861199, Average Loss  0.869382, Time  0.444474
2021-09-25 15:02:52.493739 : Epoch  8, Batch    579, Loss  0.869622, Average Loss  0.869352, Time  0.457468
2021-09-25 15:02:58.567678 : Epoch  8, Batch    580, Loss  0.870629, Average Loss  0.869335, Time  0.453343
2021-09-25 15:03:04.625158 : Epoch  8, Batch    581, Loss  0.871092, Average Loss  0.869361, Time  0.444033
2021-09-25 15:03:10.682076 : Epoch  8, Batch    582, Loss  0.883882, Average Loss  0.869439, Time  0.444269
2021-09-25 15:03:16.762520 : Epoch  8, Batch    583, Loss  0.874955, Average Loss  0.869503, Time  0.444102
2021-09-25 15:03:22.806809 : Epoch  8, Batch    584, Loss  0.870185, Average Loss  0.869455, Time  0.446685
2021-09-25 15:03:28.879648 : Epoch  8, Batch    585, Loss  0.871142, Average Loss  0.869497, Time  0.444885
2021-09-25 15:03:34.926900 : Epoch  8, Batch    586, Loss  0.886738, Average Loss  0.869596, Time  0.444625
2021-09-25 15:03:40.983339 : Epoch  8, Batch    587, Loss  0.875684, Average Loss  0.869660, Time  0.457141
2021-09-25 15:03:47.040366 : Epoch  8, Batch    588, Loss  0.871471, Average Loss  0.869708, Time  0.445380
2021-09-25 15:03:53.095212 : Epoch  8, Batch    589, Loss  0.878969, Average Loss  0.869788, Time  0.444432
2021-09-25 15:03:59.155036 : Epoch  8, Batch    590, Loss  0.879947, Average Loss  0.869861, Time  0.445261
2021-09-25 15:04:05.190695 : Epoch  8, Batch    591, Loss  0.876364, Average Loss  0.869931, Time  0.443678
2021-09-25 15:04:11.259015 : Epoch  8, Batch    592, Loss  0.872259, Average Loss  0.869998, Time  0.444711
2021-09-25 15:04:17.321658 : Epoch  8, Batch    593, Loss  0.873117, Average Loss  0.870023, Time  0.444640
2021-09-25 15:04:23.414817 : Epoch  8, Batch    594, Loss  0.854620, Average Loss  0.869946, Time  0.460281
2021-09-25 15:04:29.459809 : Epoch  8, Batch    595, Loss  0.871983, Average Loss  0.869946, Time  0.453932
2021-09-25 15:04:35.507877 : Epoch  8, Batch    596, Loss  0.874060, Average Loss  0.869930, Time  0.445214
2021-09-25 15:04:41.571954 : Epoch  8, Batch    597, Loss  0.877645, Average Loss  0.869974, Time  0.447457
2021-09-25 15:04:47.639619 : Epoch  8, Batch    598, Loss  0.883117, Average Loss  0.870018, Time  0.446369
2021-09-25 15:04:53.674431 : Epoch  8, Batch    599, Loss  0.870566, Average Loss  0.870059, Time  0.448510
2021-09-25 15:04:59.727806 : Epoch  8, Batch    600, Loss  0.870470, Average Loss  0.870113, Time  0.444032
2021-09-25 15:05:05.805836 : Epoch  8, Batch    601, Loss  0.858877, Average Loss  0.870091, Time  0.446698
2021-09-25 15:05:11.855299 : Epoch  8, Batch    602, Loss  0.865177, Average Loss  0.870060, Time  0.460580
2021-09-25 15:05:17.930811 : Epoch  8, Batch    603, Loss  0.861490, Average Loss  0.870035, Time  0.444392
2021-09-25 15:05:23.985951 : Epoch  8, Batch    604, Loss  0.890155, Average Loss  0.870167, Time  0.448423
2021-09-25 15:05:28.952386 : CheckPoint: Validation Loss  0.00015474, Best Loss  0.00014804
2021-09-25 15:05:35.005580 : Epoch  8, Batch    905, Loss  0.875769, Average Loss  0.868272, Time  0.452372
2021-09-25 15:05:41.070028 : Epoch  8, Batch    906, Loss  0.884852, Average Loss  0.868372, Time  0.448030
2021-09-25 15:05:47.114098 : Epoch  8, Batch    907, Loss  0.876263, Average Loss  0.868344, Time  0.445699
2021-09-25 15:05:53.170197 : Epoch  8, Batch    908, Loss  0.861408, Average Loss  0.868316, Time  0.446993
2021-09-25 15:05:59.284805 : Epoch  8, Batch    909, Loss  0.857969, Average Loss  0.868324, Time  0.445696
2021-09-25 15:06:05.339691 : Epoch  8, Batch    910, Loss  0.876741, Average Loss  0.868327, Time  0.445429
2021-09-25 15:06:11.406703 : Epoch  8, Batch    911, Loss  0.873335, Average Loss  0.868373, Time  0.450039
2021-09-25 15:06:17.511506 : Epoch  8, Batch    912, Loss  0.873302, Average Loss  0.868359, Time  0.460413
2021-09-25 15:06:23.611438 : Epoch  8, Batch    913, Loss  0.874044, Average Loss  0.868381, Time  0.450008
2021-09-25 15:06:29.675265 : Epoch  8, Batch    914, Loss  0.869683, Average Loss  0.868360, Time  0.449242
2021-09-25 15:06:35.718316 : Epoch  8, Batch    915, Loss  0.875507, Average Loss  0.868462, Time  0.445735
2021-09-25 15:06:41.776801 : Epoch  8, Batch    916, Loss  0.855687, Average Loss  0.868340, Time  0.448204
2021-09-25 15:06:47.844495 : Epoch  8, Batch    917, Loss  0.868480, Average Loss  0.868410, Time  0.444787
2021-09-25 15:06:53.913998 : Epoch  8, Batch    918, Loss  0.855465, Average Loss  0.868366, Time  0.445640
2021-09-25 15:06:59.980511 : Epoch  8, Batch    919, Loss  0.861637, Average Loss  0.868365, Time  0.446943
2021-09-25 15:07:06.057610 : Epoch  8, Batch    920, Loss  0.863984, Average Loss  0.868310, Time  0.455171
2021-09-25 15:07:12.112765 : Epoch  8, Batch    921, Loss  0.864843, Average Loss  0.868270, Time  0.449071
2021-09-25 15:07:18.175523 : Epoch  8, Batch    922, Loss  0.865955, Average Loss  0.868236, Time  0.444465
2021-09-25 15:07:24.227136 : Epoch  8, Batch    923, Loss  0.879450, Average Loss  0.868340, Time  0.444814
2021-09-25 15:07:30.287277 : Epoch  8, Batch    924, Loss  0.878212, Average Loss  0.868428, Time  0.446343
2021-09-25 15:07:36.338784 : Epoch  8, Batch    925, Loss  0.874943, Average Loss  0.868515, Time  0.444724
2021-09-25 15:07:42.399877 : Epoch  8, Batch    926, Loss  0.868001, Average Loss  0.868499, Time  0.445718
2021-09-25 15:07:48.462827 : Epoch  8, Batch    927, Loss  0.867520, Average Loss  0.868490, Time  0.458179
2021-09-25 15:07:54.517560 : Epoch  8, Batch    928, Loss  0.863591, Average Loss  0.868363, Time  0.445139
2021-09-25 15:07:54.562653 : Saving Model after 8-th Epoch.
2021-09-25 15:07:55.437206 : Epoch Finished.
2021-09-25 15:08:01.065118 : Batch Shuffled
2021-09-25 15:08:07.111483 : Epoch  9, Batch      1, Loss  0.877730, Average Loss  0.868520, Time  0.445927
2021-09-25 15:08:13.159796 : Epoch  9, Batch      2, Loss  0.873807, Average Loss  0.868552, Time  0.447352
2021-09-25 15:08:19.200741 : Epoch  9, Batch      3, Loss  0.871378, Average Loss  0.868608, Time  0.446049
2021-09-25 15:08:25.255056 : Epoch  9, Batch      4, Loss  0.867408, Average Loss  0.868652, Time  0.445115
2021-09-25 15:08:31.307107 : Epoch  9, Batch      5, Loss  0.871836, Average Loss  0.868617, Time  0.446761
2021-09-25 15:08:37.373040 : Epoch  9, Batch      6, Loss  0.877993, Average Loss  0.868684, Time  0.461257
2021-09-25 15:08:43.429838 : Epoch  9, Batch      7, Loss  0.859161, Average Loss  0.868602, Time  0.445719
2021-09-25 15:08:49.481655 : Epoch  9, Batch      8, Loss  0.860952, Average Loss  0.868561, Time  0.445102
2021-09-25 15:08:55.530554 : Epoch  9, Batch      9, Loss  0.854021, Average Loss  0.868433, Time  0.445177
2021-09-25 15:09:01.621845 : Epoch  9, Batch     10, Loss  0.863362, Average Loss  0.868379, Time  0.449873
2021-09-25 15:09:07.683928 : Epoch  9, Batch     11, Loss  0.881687, Average Loss  0.868521, Time  0.446442
2021-09-25 15:09:13.739032 : Epoch  9, Batch     12, Loss  0.888334, Average Loss  0.868588, Time  0.445280
2021-09-25 15:09:19.823154 : Epoch  9, Batch     13, Loss  0.862038, Average Loss  0.868561, Time  0.460083
2021-09-25 15:09:25.872465 : Epoch  9, Batch     14, Loss  0.867498, Average Loss  0.868521, Time  0.444705
2021-09-25 15:09:31.933210 : Epoch  9, Batch     15, Loss  0.876078, Average Loss  0.868477, Time  0.444569
2021-09-25 15:09:37.990838 : Epoch  9, Batch     16, Loss  0.870790, Average Loss  0.868454, Time  0.444806
2021-09-25 15:09:44.046917 : Epoch  9, Batch     17, Loss  0.870369, Average Loss  0.868494, Time  0.445308
2021-09-25 15:09:50.121935 : Epoch  9, Batch     18, Loss  0.875821, Average Loss  0.868538, Time  0.449404
2021-09-25 15:09:56.185226 : Epoch  9, Batch     19, Loss  0.860264, Average Loss  0.868467, Time  0.446527
2021-09-25 15:10:02.234296 : Epoch  9, Batch     20, Loss  0.884544, Average Loss  0.868575, Time  0.446409
2021-09-25 15:10:06.743020 : CheckPoint: Validation Loss  0.00014737, Best Loss  0.00014737
2021-09-25 15:10:06.779127 : Best Model Updated
2021-09-25 15:10:08.312977 : Epoch  9, Batch     21, Loss  0.861172, Average Loss  0.868493, Time  0.461726
2021-09-25 15:10:13.613359 : Epoch  8, Batch    605, Loss  0.869711, Average Loss  0.870178, Time  0.446082
2021-09-25 15:10:14.374918 : Epoch  9, Batch     22, Loss  0.863415, Average Loss  0.868461, Time  0.446147
2021-09-25 15:10:19.692859 : Epoch  8, Batch    606, Loss  0.868220, Average Loss  0.870144, Time  0.443895
2021-09-25 15:10:20.473937 : Epoch  9, Batch     23, Loss  0.874820, Average Loss  0.868512, Time  0.445534
2021-09-25 15:10:25.798485 : Epoch  8, Batch    607, Loss  0.873705, Average Loss  0.870183, Time  0.443894
2021-09-25 15:10:26.547557 : Epoch  9, Batch     24, Loss  0.878651, Average Loss  0.868605, Time  0.445361
2021-09-25 15:10:31.918785 : Epoch  8, Batch    608, Loss  0.866786, Average Loss  0.870138, Time  0.455808
2021-09-25 15:10:32.625962 : Epoch  9, Batch     25, Loss  0.885342, Average Loss  0.868770, Time  0.454993
2021-09-25 15:10:38.011173 : Epoch  8, Batch    609, Loss  0.847324, Average Loss  0.870021, Time  0.447353
2021-09-25 15:10:38.699706 : Epoch  9, Batch     26, Loss  0.879010, Average Loss  0.868849, Time  0.448784
2021-09-25 15:10:44.104494 : Epoch  8, Batch    610, Loss  0.868947, Average Loss  0.869957, Time  0.444672
2021-09-25 15:10:44.766694 : Epoch  9, Batch     27, Loss  0.863736, Average Loss  0.868906, Time  0.445555
2021-09-25 15:10:50.190842 : Epoch  8, Batch    611, Loss  0.865592, Average Loss  0.869893, Time  0.444601
2021-09-25 15:10:50.844161 : Epoch  9, Batch     28, Loss  0.859890, Average Loss  0.868812, Time  0.460915
2021-09-25 15:10:56.287464 : Epoch  8, Batch    612, Loss  0.869974, Average Loss  0.869921, Time  0.445412
2021-09-25 15:10:56.907224 : Epoch  9, Batch     29, Loss  0.869670, Average Loss  0.868783, Time  0.446442
2021-09-25 15:11:02.368822 : Epoch  8, Batch    613, Loss  0.888209, Average Loss  0.870050, Time  0.447358
2021-09-25 15:11:02.957379 : Epoch  9, Batch     30, Loss  0.871025, Average Loss  0.868824, Time  0.445050
2021-09-25 15:11:08.433872 : Epoch  8, Batch    614, Loss  0.884287, Average Loss  0.870055, Time  0.446492
2021-09-25 15:11:08.996624 : Epoch  9, Batch     31, Loss  0.859449, Average Loss  0.868788, Time  0.448404
2021-09-25 15:11:14.557865 : Epoch  8, Batch    615, Loss  0.878799, Average Loss  0.870089, Time  0.454674
2021-09-25 15:11:15.057037 : Epoch  9, Batch     32, Loss  0.873820, Average Loss  0.868836, Time  0.448346
2021-09-25 15:11:20.633520 : Epoch  8, Batch    616, Loss  0.859706, Average Loss  0.870106, Time  0.444927
2021-09-25 15:11:21.130444 : Epoch  9, Batch     33, Loss  0.862311, Average Loss  0.868772, Time  0.449422
2021-09-25 15:11:26.714938 : Epoch  8, Batch    617, Loss  0.882219, Average Loss  0.870108, Time  0.447621
2021-09-25 15:11:27.178912 : Epoch  9, Batch     34, Loss  0.882528, Average Loss  0.868888, Time  0.445427
2021-09-25 15:11:32.801513 : Epoch  8, Batch    618, Loss  0.876067, Average Loss  0.870135, Time  0.447686
2021-09-25 15:11:33.234062 : Epoch  9, Batch     35, Loss  0.875075, Average Loss  0.868856, Time  0.446886
2021-09-25 15:11:38.885696 : Epoch  8, Batch    619, Loss  0.874825, Average Loss  0.870102, Time  0.444149
2021-09-25 15:11:39.292101 : Epoch  9, Batch     36, Loss  0.871635, Average Loss  0.868915, Time  0.455207
2021-09-25 15:11:44.988405 : Epoch  8, Batch    620, Loss  0.870269, Average Loss  0.870128, Time  0.446205
2021-09-25 15:11:45.345418 : Epoch  9, Batch     37, Loss  0.856156, Average Loss  0.868871, Time  0.444963
2021-09-25 15:11:51.087719 : Epoch  8, Batch    621, Loss  0.870233, Average Loss  0.870145, Time  0.452785
2021-09-25 15:11:51.389216 : Epoch  9, Batch     38, Loss  0.868112, Average Loss  0.868897, Time  0.445805
2021-09-25 15:11:57.247543 : Epoch  8, Batch    622, Loss  0.871351, Average Loss  0.870132, Time  0.443822
2021-09-25 15:11:57.452688 : Epoch  9, Batch     39, Loss  0.860623, Average Loss  0.868813, Time  0.446759
2021-09-25 15:12:03.359393 : Epoch  8, Batch    623, Loss  0.874146, Average Loss  0.870174, Time  0.462532
2021-09-25 15:12:03.517965 : Epoch  9, Batch     40, Loss  0.872116, Average Loss  0.868870, Time  0.445331
2021-09-25 15:12:09.466304 : Epoch  8, Batch    624, Loss  0.858489, Average Loss  0.870204, Time  0.444472
2021-09-25 15:12:09.565451 : Epoch  9, Batch     41, Loss  0.865360, Average Loss  0.868857, Time  0.446730
2021-09-25 15:12:15.552856 : Epoch  8, Batch    625, Loss  0.856445, Average Loss  0.870151, Time  0.448579
2021-09-25 15:12:15.633223 : Epoch  9, Batch     42, Loss  0.872326, Average Loss  0.868882, Time  0.446116
2021-09-25 15:12:21.610244 : Epoch  8, Batch    626, Loss  0.862731, Average Loss  0.870089, Time  0.446320
2021-09-25 15:12:21.694916 : Epoch  9, Batch     43, Loss  0.868327, Average Loss  0.868829, Time  0.460950
2021-09-25 15:12:27.681790 : Epoch  8, Batch    627, Loss  0.873986, Average Loss  0.870082, Time  0.444782
2021-09-25 15:12:27.734186 : Epoch  9, Batch     44, Loss  0.873187, Average Loss  0.868895, Time  0.446138
2021-09-25 15:12:33.751737 : Epoch  8, Batch    628, Loss  0.879802, Average Loss  0.870117, Time  0.444509
2021-09-25 15:12:33.795662 : Epoch  9, Batch     45, Loss  0.873097, Average Loss  0.868978, Time  0.444862
2021-09-25 15:12:39.827441 : Epoch  8, Batch    629, Loss  0.874183, Average Loss  0.870183, Time  0.447388
2021-09-25 15:12:39.880733 : Epoch  9, Batch     46, Loss  0.879825, Average Loss  0.869015, Time  0.446649
2021-09-25 15:12:45.944084 : Epoch  9, Batch     47, Loss  0.890122, Average Loss  0.869160, Time  0.444928
2021-09-25 15:12:45.944098 : Epoch  8, Batch    630, Loss  0.865192, Average Loss  0.870149, Time  0.456143
2021-09-25 15:12:52.010692 : Epoch  9, Batch     48, Loss  0.864101, Average Loss  0.869129, Time  0.445705
2021-09-25 15:12:52.038983 : Epoch  8, Batch    631, Loss  0.870165, Average Loss  0.870151, Time  0.446026
2021-09-25 15:12:58.076780 : Epoch  9, Batch     49, Loss  0.884765, Average Loss  0.869249, Time  0.447345
2021-09-25 15:12:58.146175 : Epoch  8, Batch    632, Loss  0.884720, Average Loss  0.870188, Time  0.445402
2021-09-25 15:13:04.162018 : Epoch  9, Batch     50, Loss  0.876657, Average Loss  0.869250, Time  0.448569
2021-09-25 15:13:04.234950 : Epoch  8, Batch    633, Loss  0.875723, Average Loss  0.870261, Time  0.444303
2021-09-25 15:13:10.220872 : Epoch  9, Batch     51, Loss  0.869663, Average Loss  0.869301, Time  0.453555
2021-09-25 15:13:10.312990 : Epoch  8, Batch    634, Loss  0.858115, Average Loss  0.870172, Time  0.447428
2021-09-25 15:13:16.289914 : Epoch  9, Batch     52, Loss  0.876973, Average Loss  0.869296, Time  0.446179
2021-09-25 15:13:16.382786 : Epoch  8, Batch    635, Loss  0.882363, Average Loss  0.870262, Time  0.444756
2021-09-25 15:13:22.361028 : Epoch  9, Batch     53, Loss  0.858040, Average Loss  0.869239, Time  0.444993
2021-09-25 15:13:22.442951 : Epoch  8, Batch    636, Loss  0.879138, Average Loss  0.870272, Time  0.444813
2021-09-25 15:13:28.421848 : Epoch  9, Batch     54, Loss  0.859774, Average Loss  0.869158, Time  0.448342
2021-09-25 15:13:28.505553 : Epoch  8, Batch    637, Loss  0.872612, Average Loss  0.870305, Time  0.444150
2021-09-25 15:13:34.489736 : Epoch  9, Batch     55, Loss  0.877877, Average Loss  0.869231, Time  0.445765
2021-09-25 15:13:34.599044 : Epoch  8, Batch    638, Loss  0.883187, Average Loss  0.870374, Time  0.459158
2021-09-25 15:13:40.576953 : Epoch  9, Batch     56, Loss  0.866500, Average Loss  0.869123, Time  0.447046
2021-09-25 15:13:40.675980 : Epoch  8, Batch    639, Loss  0.859285, Average Loss  0.870320, Time  0.450801
2021-09-25 15:13:46.635088 : Epoch  9, Batch     57, Loss  0.868592, Average Loss  0.869110, Time  0.445440
2021-09-25 15:13:46.777897 : Epoch  8, Batch    640, Loss  0.873160, Average Loss  0.870352, Time  0.446105
2021-09-25 15:13:52.739948 : Epoch  9, Batch     58, Loss  0.855878, Average Loss  0.869089, Time  0.462078
2021-09-25 15:13:52.856573 : Epoch  8, Batch    641, Loss  0.879257, Average Loss  0.870344, Time  0.447447
2021-09-25 15:13:58.817747 : Epoch  9, Batch     59, Loss  0.872164, Average Loss  0.869181, Time  0.445175
2021-09-25 15:13:58.952556 : Epoch  8, Batch    642, Loss  0.884202, Average Loss  0.870447, Time  0.444185
2021-09-25 15:14:04.879827 : Epoch  9, Batch     60, Loss  0.885109, Average Loss  0.869289, Time  0.446993
2021-09-25 15:14:05.026874 : Epoch  8, Batch    643, Loss  0.879235, Average Loss  0.870570, Time  0.444120
2021-09-25 15:14:10.987818 : Epoch  9, Batch     61, Loss  0.856996, Average Loss  0.869265, Time  0.446774
2021-09-25 15:14:11.141395 : Epoch  8, Batch    644, Loss  0.872307, Average Loss  0.870593, Time  0.448200
2021-09-25 15:14:17.052846 : Epoch  9, Batch     62, Loss  0.878809, Average Loss  0.869325, Time  0.447085
2021-09-25 15:14:17.243447 : Epoch  8, Batch    645, Loss  0.875704, Average Loss  0.870666, Time  0.450533
2021-09-25 15:14:23.128884 : Epoch  9, Batch     63, Loss  0.873764, Average Loss  0.869361, Time  0.448846
2021-09-25 15:14:23.356840 : Epoch  8, Batch    646, Loss  0.869413, Average Loss  0.870597, Time  0.446636
2021-09-25 15:14:29.196221 : Epoch  9, Batch     64, Loss  0.864609, Average Loss  0.869259, Time  0.445704
2021-09-25 15:14:29.430857 : Epoch  8, Batch    647, Loss  0.882642, Average Loss  0.870671, Time  0.444269
2021-09-25 15:14:35.257908 : Epoch  9, Batch     65, Loss  0.870158, Average Loss  0.869199, Time  0.445718
2021-09-25 15:14:35.511977 : Epoch  8, Batch    648, Loss  0.865103, Average Loss  0.870594, Time  0.444425
2021-09-25 15:14:41.323137 : Epoch  9, Batch     66, Loss  0.863041, Average Loss  0.869102, Time  0.453987
2021-09-25 15:14:41.603544 : Epoch  8, Batch    649, Loss  0.868930, Average Loss  0.870581, Time  0.448371
2021-09-25 15:14:47.380053 : Epoch  9, Batch     67, Loss  0.861010, Average Loss  0.869020, Time  0.446990
2021-09-25 15:14:47.696520 : Epoch  8, Batch    650, Loss  0.874588, Average Loss  0.870630, Time  0.443530
2021-09-25 15:14:53.440844 : Epoch  9, Batch     68, Loss  0.875012, Average Loss  0.869123, Time  0.449919
2021-09-25 15:14:53.787622 : Epoch  8, Batch    651, Loss  0.882368, Average Loss  0.870765, Time  0.443942
2021-09-25 15:14:59.483986 : Epoch  9, Batch     69, Loss  0.877275, Average Loss  0.869179, Time  0.447201
2021-09-25 15:14:59.851450 : Epoch  8, Batch    652, Loss  0.882408, Average Loss  0.870830, Time  0.444220
2021-09-25 15:15:05.545978 : Epoch  9, Batch     70, Loss  0.877321, Average Loss  0.869226, Time  0.444521
2021-09-25 15:15:05.932985 : Epoch  8, Batch    653, Loss  0.864676, Average Loss  0.870832, Time  0.460572
2021-09-25 15:15:11.606448 : Epoch  9, Batch     71, Loss  0.872328, Average Loss  0.869265, Time  0.445261
2021-09-25 15:15:12.002769 : Epoch  8, Batch    654, Loss  0.860826, Average Loss  0.870722, Time  0.444463
2021-09-25 15:15:17.699504 : Epoch  9, Batch     72, Loss  0.866992, Average Loss  0.869208, Time  0.445285
2021-09-25 15:15:18.098276 : Epoch  8, Batch    655, Loss  0.850078, Average Loss  0.870617, Time  0.444451
2021-09-25 15:15:23.774377 : Epoch  9, Batch     73, Loss  0.867179, Average Loss  0.869210, Time  0.458287
2021-09-25 15:15:24.166920 : Epoch  8, Batch    656, Loss  0.867840, Average Loss  0.870633, Time  0.446518
2021-09-25 15:15:29.846581 : Epoch  9, Batch     74, Loss  0.877244, Average Loss  0.869317, Time  0.445077
2021-09-25 15:15:30.240240 : Epoch  8, Batch    657, Loss  0.880402, Average Loss  0.870759, Time  0.445254
2021-09-25 15:15:35.911022 : Epoch  9, Batch     75, Loss  0.877480, Average Loss  0.869329, Time  0.444919
2021-09-25 15:15:36.301758 : Epoch  8, Batch    658, Loss  0.872115, Average Loss  0.870752, Time  0.445755
2021-09-25 15:15:41.974008 : Epoch  9, Batch     76, Loss  0.874202, Average Loss  0.869365, Time  0.446360
2021-09-25 15:15:42.371900 : Epoch  8, Batch    659, Loss  0.861909, Average Loss  0.870706, Time  0.445197
2021-09-25 15:15:48.470707 : Epoch  8, Batch    660, Loss  0.854834, Average Loss  0.870604, Time  0.454898
2021-09-25 15:15:54.561945 : Epoch  8, Batch    661, Loss  0.869431, Average Loss  0.870690, Time  0.445787
2021-09-25 15:16:00.662143 : Epoch  8, Batch    662, Loss  0.868337, Average Loss  0.870679, Time  0.444862
2021-09-25 15:16:06.725025 : Epoch  8, Batch    663, Loss  0.871908, Average Loss  0.870672, Time  0.443703
2021-09-25 15:16:12.844226 : Epoch  8, Batch    664, Loss  0.882596, Average Loss  0.870701, Time  0.448386
2021-09-25 15:16:18.911721 : Epoch  8, Batch    665, Loss  0.871574, Average Loss  0.870729, Time  0.444868
2021-09-25 15:16:25.002990 : Epoch  8, Batch    666, Loss  0.861731, Average Loss  0.870705, Time  0.444589
2021-09-25 15:16:31.069870 : Epoch  8, Batch    667, Loss  0.877677, Average Loss  0.870820, Time  0.444911
2021-09-25 15:16:37.170520 : Epoch  8, Batch    668, Loss  0.879697, Average Loss  0.870876, Time  0.460971
2021-09-25 15:16:43.236472 : Epoch  8, Batch    669, Loss  0.865357, Average Loss  0.870859, Time  0.447483
2021-09-25 15:16:49.293282 : Epoch  8, Batch    670, Loss  0.881602, Average Loss  0.870825, Time  0.445301
2021-09-25 15:16:55.383618 : Epoch  8, Batch    671, Loss  0.862217, Average Loss  0.870808, Time  0.444331
2021-09-25 15:17:01.467326 : Epoch  8, Batch    672, Loss  0.871178, Average Loss  0.870833, Time  0.446731
2021-09-25 15:17:07.562623 : Epoch  8, Batch    673, Loss  0.863729, Average Loss  0.870839, Time  0.446732
2021-09-25 15:17:13.668658 : Epoch  8, Batch    674, Loss  0.858715, Average Loss  0.870782, Time  0.450032
2021-09-25 15:17:19.765271 : Epoch  8, Batch    675, Loss  0.871717, Average Loss  0.870776, Time  0.456280
2021-09-25 15:17:25.866748 : Epoch  8, Batch    676, Loss  0.852442, Average Loss  0.870618, Time  0.446694
2021-09-25 15:17:31.955323 : Epoch  8, Batch    677, Loss  0.855197, Average Loss  0.870572, Time  0.444172
2021-09-25 15:17:38.063026 : Epoch  8, Batch    678, Loss  0.873626, Average Loss  0.870654, Time  0.448107
2021-09-25 15:17:44.136445 : Epoch  8, Batch    679, Loss  0.880494, Average Loss  0.870743, Time  0.444382
2021-09-25 15:17:50.229699 : Epoch  8, Batch    680, Loss  0.865252, Average Loss  0.870689, Time  0.448221
2021-09-25 15:17:56.306088 : Epoch  8, Batch    681, Loss  0.864614, Average Loss  0.870644, Time  0.443960
2021-09-25 15:18:02.421111 : Epoch  8, Batch    682, Loss  0.870717, Average Loss  0.870592, Time  0.455528
2021-09-25 15:18:08.519613 : Epoch  8, Batch    683, Loss  0.872883, Average Loss  0.870637, Time  0.455129
2021-09-25 15:18:14.609815 : Epoch  8, Batch    684, Loss  0.859415, Average Loss  0.870551, Time  0.444577
2021-09-25 15:18:20.714755 : Epoch  8, Batch    685, Loss  0.864320, Average Loss  0.870451, Time  0.443440
2021-09-25 15:18:26.769729 : Epoch  8, Batch    686, Loss  0.871271, Average Loss  0.870545, Time  0.443914
2021-09-25 15:18:32.843054 : Epoch  8, Batch    687, Loss  0.855542, Average Loss  0.870406, Time  0.445207
2021-09-25 15:18:38.915864 : Epoch  8, Batch    688, Loss  0.872547, Average Loss  0.870442, Time  0.443814
2021-09-25 15:18:44.982383 : Epoch  8, Batch    689, Loss  0.882491, Average Loss  0.870481, Time  0.444965
2021-09-25 15:18:51.071955 : Epoch  8, Batch    690, Loss  0.853381, Average Loss  0.870412, Time  0.467161
2021-09-25 15:18:57.159724 : Epoch  8, Batch    691, Loss  0.870966, Average Loss  0.870374, Time  0.445907
2021-09-25 15:19:03.250803 : Epoch  8, Batch    692, Loss  0.886701, Average Loss  0.870400, Time  0.443991
2021-09-25 15:19:09.341988 : Epoch  8, Batch    693, Loss  0.870404, Average Loss  0.870295, Time  0.443124
2021-09-25 15:19:15.417307 : Epoch  8, Batch    694, Loss  0.863569, Average Loss  0.870304, Time  0.443906
2021-09-25 15:19:21.501068 : Epoch  8, Batch    695, Loss  0.850325, Average Loss  0.870254, Time  0.447164
2021-09-25 15:19:27.564128 : Epoch  8, Batch    696, Loss  0.857730, Average Loss  0.870212, Time  0.443985
2021-09-25 15:19:33.681926 : Epoch  8, Batch    697, Loss  0.874354, Average Loss  0.870229, Time  0.445931
2021-09-25 15:19:39.802100 : Epoch  8, Batch    698, Loss  0.871378, Average Loss  0.870280, Time  0.452068
2021-09-25 15:19:45.900232 : Epoch  8, Batch    699, Loss  0.874887, Average Loss  0.870323, Time  0.443551
2021-09-25 15:19:52.006861 : Epoch  8, Batch    700, Loss  0.872239, Average Loss  0.870287, Time  0.446530
2021-09-25 15:19:58.107866 : Epoch  8, Batch    701, Loss  0.873502, Average Loss  0.870340, Time  0.444938
2021-09-25 15:20:04.195670 : Epoch  8, Batch    702, Loss  0.872092, Average Loss  0.870329, Time  0.451091
2021-09-25 15:20:10.284889 : Epoch  8, Batch    703, Loss  0.861550, Average Loss  0.870260, Time  0.444459
2021-09-25 15:20:16.344859 : Epoch  8, Batch    704, Loss  0.875334, Average Loss  0.870304, Time  0.444770
2021-09-25 15:20:25.733381 : CheckPoint: Validation Loss  0.00015179, Best Loss  0.00014804
2021-09-25 15:20:31.788987 : Epoch  9, Batch     77, Loss  0.876168, Average Loss  0.869413, Time  0.450182
2021-09-25 15:20:37.861429 : Epoch  9, Batch     78, Loss  0.873931, Average Loss  0.869371, Time  0.445348
2021-09-25 15:20:43.942263 : Epoch  9, Batch     79, Loss  0.884249, Average Loss  0.869367, Time  0.456488
2021-09-25 15:20:49.999875 : Epoch  9, Batch     80, Loss  0.887597, Average Loss  0.869458, Time  0.444723
2021-09-25 15:20:56.057763 : Epoch  9, Batch     81, Loss  0.873877, Average Loss  0.869447, Time  0.445389
2021-09-25 15:21:02.133023 : Epoch  9, Batch     82, Loss  0.865936, Average Loss  0.869427, Time  0.446578
2021-09-25 15:21:08.205571 : Epoch  9, Batch     83, Loss  0.857892, Average Loss  0.869417, Time  0.448803
2021-09-25 15:21:14.263221 : Epoch  9, Batch     84, Loss  0.864035, Average Loss  0.869372, Time  0.444857
2021-09-25 15:21:20.324748 : Epoch  9, Batch     85, Loss  0.876168, Average Loss  0.869423, Time  0.445174
2021-09-25 15:21:26.397880 : Epoch  9, Batch     86, Loss  0.865178, Average Loss  0.869413, Time  0.456714
2021-09-25 15:21:32.451151 : Epoch  9, Batch     87, Loss  0.864525, Average Loss  0.869498, Time  0.446480
2021-09-25 15:21:38.523541 : Epoch  9, Batch     88, Loss  0.879186, Average Loss  0.869538, Time  0.459619
2021-09-25 15:21:44.593510 : Epoch  9, Batch     89, Loss  0.856753, Average Loss  0.869492, Time  0.445721
2021-09-25 15:21:50.637630 : Epoch  9, Batch     90, Loss  0.878858, Average Loss  0.869559, Time  0.446127
2021-09-25 15:21:56.688760 : Epoch  9, Batch     91, Loss  0.886083, Average Loss  0.869725, Time  0.444507
2021-09-25 15:22:02.743669 : Epoch  9, Batch     92, Loss  0.871024, Average Loss  0.869691, Time  0.448571
2021-09-25 15:22:08.802611 : Epoch  9, Batch     93, Loss  0.866205, Average Loss  0.869721, Time  0.451208
2021-09-25 15:22:14.867699 : Epoch  9, Batch     94, Loss  0.876682, Average Loss  0.869808, Time  0.455508
2021-09-25 15:22:20.926860 : Epoch  9, Batch     95, Loss  0.871171, Average Loss  0.869825, Time  0.445626
2021-09-25 15:22:26.981284 : Epoch  9, Batch     96, Loss  0.861795, Average Loss  0.869848, Time  0.445346
2021-09-25 15:22:33.054796 : Epoch  9, Batch     97, Loss  0.888367, Average Loss  0.869951, Time  0.445540
2021-09-25 15:22:39.117500 : Epoch  9, Batch     98, Loss  0.882097, Average Loss  0.870077, Time  0.445541
2021-09-25 15:22:45.165408 : Epoch  9, Batch     99, Loss  0.858204, Average Loss  0.870011, Time  0.445279
2021-09-25 15:22:51.240071 : Epoch  9, Batch    100, Loss  0.873998, Average Loss  0.870029, Time  0.445532
2021-09-25 15:22:57.307208 : Epoch  9, Batch    101, Loss  0.861817, Average Loss  0.870026, Time  0.456727
2021-09-25 15:23:03.361559 : Epoch  9, Batch    102, Loss  0.867697, Average Loss  0.870051, Time  0.445178
2021-09-25 15:23:09.424561 : Epoch  9, Batch    103, Loss  0.876939, Average Loss  0.870145, Time  0.445006
2021-09-25 15:23:15.483349 : Epoch  9, Batch    104, Loss  0.865849, Average Loss  0.870192, Time  0.446059
2021-09-25 15:23:21.549372 : Epoch  9, Batch    105, Loss  0.872683, Average Loss  0.870185, Time  0.446239
2021-09-25 15:23:27.617897 : Epoch  9, Batch    106, Loss  0.877229, Average Loss  0.870190, Time  0.445179
2021-09-25 15:23:33.687147 : Epoch  9, Batch    107, Loss  0.849103, Average Loss  0.870099, Time  0.445835
2021-09-25 15:23:39.748783 : Epoch  9, Batch    108, Loss  0.884026, Average Loss  0.870214, Time  0.445205
2021-09-25 15:23:45.820294 : Epoch  9, Batch    109, Loss  0.880062, Average Loss  0.870272, Time  0.452575
2021-09-25 15:23:51.880957 : Epoch  9, Batch    110, Loss  0.868837, Average Loss  0.870244, Time  0.444880
2021-09-25 15:23:57.922864 : Epoch  9, Batch    111, Loss  0.864638, Average Loss  0.870212, Time  0.445199
2021-09-25 15:24:03.979501 : Epoch  9, Batch    112, Loss  0.878866, Average Loss  0.870320, Time  0.445786
2021-09-25 15:24:10.038026 : Epoch  9, Batch    113, Loss  0.859482, Average Loss  0.870264, Time  0.444846
2021-09-25 15:24:16.108358 : Epoch  9, Batch    114, Loss  0.874605, Average Loss  0.870244, Time  0.444775
2021-09-25 15:24:22.172753 : Epoch  9, Batch    115, Loss  0.871608, Average Loss  0.870245, Time  0.444723
2021-09-25 15:24:28.224089 : Epoch  9, Batch    116, Loss  0.854879, Average Loss  0.870155, Time  0.455056
2021-09-25 15:24:34.290784 : Epoch  9, Batch    117, Loss  0.885558, Average Loss  0.870190, Time  0.445340
2021-09-25 15:24:40.350649 : Epoch  9, Batch    118, Loss  0.861951, Average Loss  0.870159, Time  0.445606
2021-09-25 15:24:46.414609 : Epoch  9, Batch    119, Loss  0.867327, Average Loss  0.870085, Time  0.448263
2021-09-25 15:24:52.480555 : Epoch  9, Batch    120, Loss  0.863796, Average Loss  0.870061, Time  0.445812
2021-09-25 15:24:58.537792 : Epoch  9, Batch    121, Loss  0.860985, Average Loss  0.869943, Time  0.445675
2021-09-25 15:24:59.679891 : CheckPoint: Validation Loss  0.00015229, Best Loss  0.00014737
2021-09-25 15:25:04.604361 : Epoch  9, Batch    122, Loss  0.850230, Average Loss  0.869868, Time  0.448714
2021-09-25 15:25:05.696227 : Epoch  8, Batch    705, Loss  0.867694, Average Loss  0.870260, Time  0.445637
2021-09-25 15:25:10.660662 : Epoch  9, Batch    123, Loss  0.881589, Average Loss  0.869877, Time  0.444963
2021-09-25 15:25:11.739874 : Epoch  8, Batch    706, Loss  0.843302, Average Loss  0.870107, Time  0.445090
2021-09-25 15:25:16.740786 : Epoch  9, Batch    124, Loss  0.874350, Average Loss  0.869985, Time  0.451686
2021-09-25 15:25:17.814695 : Epoch  8, Batch    707, Loss  0.873809, Average Loss  0.870161, Time  0.444543
2021-09-25 15:25:22.790255 : Epoch  9, Batch    125, Loss  0.871386, Average Loss  0.869970, Time  0.449797
2021-09-25 15:25:23.883565 : Epoch  8, Batch    708, Loss  0.857593, Average Loss  0.870049, Time  0.443358
2021-09-25 15:25:28.841831 : Epoch  9, Batch    126, Loss  0.872674, Average Loss  0.870022, Time  0.449504
2021-09-25 15:25:29.942355 : Epoch  8, Batch    709, Loss  0.872535, Average Loss  0.870024, Time  0.444934
2021-09-25 15:25:34.892114 : Epoch  9, Batch    127, Loss  0.872573, Average Loss  0.870021, Time  0.444865
2021-09-25 15:25:36.016730 : Epoch  8, Batch    710, Loss  0.868797, Average Loss  0.870047, Time  0.457245
2021-09-25 15:25:40.949513 : Epoch  9, Batch    128, Loss  0.870416, Average Loss  0.870037, Time  0.447888
2021-09-25 15:25:42.111459 : Epoch  8, Batch    711, Loss  0.880042, Average Loss  0.870119, Time  0.453053
2021-09-25 15:25:47.023150 : Epoch  9, Batch    129, Loss  0.851823, Average Loss  0.869936, Time  0.453716
2021-09-25 15:25:48.195394 : Epoch  8, Batch    712, Loss  0.857753, Average Loss  0.870023, Time  0.445935
2021-09-25 15:25:53.091988 : Epoch  9, Batch    130, Loss  0.879266, Average Loss  0.870003, Time  0.445965
2021-09-25 15:25:54.267266 : Epoch  8, Batch    713, Loss  0.849692, Average Loss  0.869888, Time  0.444468
2021-09-25 15:25:59.170965 : Epoch  9, Batch    131, Loss  0.862081, Average Loss  0.870002, Time  0.454721
2021-09-25 15:26:00.327932 : Epoch  8, Batch    714, Loss  0.869871, Average Loss  0.869899, Time  0.446367
2021-09-25 15:26:05.224800 : Epoch  9, Batch    132, Loss  0.872863, Average Loss  0.870011, Time  0.445135
2021-09-25 15:26:06.364677 : Epoch  8, Batch    715, Loss  0.874052, Average Loss  0.869819, Time  0.443707
2021-09-25 15:26:11.274532 : Epoch  9, Batch    133, Loss  0.873457, Average Loss  0.869996, Time  0.444638
2021-09-25 15:26:12.451460 : Epoch  8, Batch    716, Loss  0.862914, Average Loss  0.869809, Time  0.444183
2021-09-25 15:26:17.321499 : Epoch  9, Batch    134, Loss  0.860962, Average Loss  0.869991, Time  0.445472
2021-09-25 15:26:18.515797 : Epoch  8, Batch    717, Loss  0.874725, Average Loss  0.869823, Time  0.447352
2021-09-25 15:26:23.377158 : Epoch  9, Batch    135, Loss  0.886971, Average Loss  0.870075, Time  0.448981
2021-09-25 15:26:24.572868 : Epoch  8, Batch    718, Loss  0.870778, Average Loss  0.869845, Time  0.444730
2021-09-25 15:26:29.438819 : Epoch  9, Batch    136, Loss  0.875404, Average Loss  0.870091, Time  0.445154
2021-09-25 15:26:30.662544 : Epoch  8, Batch    719, Loss  0.874717, Average Loss  0.869882, Time  0.459536
2021-09-25 15:26:35.484117 : Epoch  9, Batch    137, Loss  0.862793, Average Loss  0.870083, Time  0.448505
2021-09-25 15:26:36.755577 : Epoch  8, Batch    720, Loss  0.856952, Average Loss  0.869796, Time  0.444670
2021-09-25 15:26:41.548651 : Epoch  9, Batch    138, Loss  0.869505, Average Loss  0.870097, Time  0.445500
2021-09-25 15:26:42.812177 : Epoch  8, Batch    721, Loss  0.873334, Average Loss  0.869796, Time  0.444144
2021-09-25 15:26:47.615822 : Epoch  9, Batch    139, Loss  0.869165, Average Loss  0.870110, Time  0.456993
2021-09-25 15:26:48.892094 : Epoch  8, Batch    722, Loss  0.867625, Average Loss  0.869833, Time  0.444882
2021-09-25 15:26:53.678567 : Epoch  9, Batch    140, Loss  0.883857, Average Loss  0.870150, Time  0.446384
2021-09-25 15:26:55.006124 : Epoch  8, Batch    723, Loss  0.884322, Average Loss  0.869929, Time  0.444076
2021-09-25 15:26:59.756933 : Epoch  9, Batch    141, Loss  0.868686, Average Loss  0.870107, Time  0.449799
2021-09-25 15:27:01.082827 : Epoch  8, Batch    724, Loss  0.863709, Average Loss  0.869953, Time  0.447511
2021-09-25 15:27:05.809130 : Epoch  9, Batch    142, Loss  0.873327, Average Loss  0.870197, Time  0.446158
2021-09-25 15:27:07.154356 : Epoch  8, Batch    725, Loss  0.870714, Average Loss  0.869937, Time  0.443807
2021-09-25 15:27:11.874089 : Epoch  9, Batch    143, Loss  0.878569, Average Loss  0.870302, Time  0.447290
2021-09-25 15:27:13.243921 : Epoch  8, Batch    726, Loss  0.865146, Average Loss  0.869897, Time  0.461652
2021-09-25 15:27:17.933404 : Epoch  9, Batch    144, Loss  0.872053, Average Loss  0.870208, Time  0.445079
2021-09-25 15:27:19.372691 : Epoch  8, Batch    727, Loss  0.848089, Average Loss  0.869728, Time  0.444175
2021-09-25 15:27:24.001618 : Epoch  9, Batch    145, Loss  0.856634, Average Loss  0.870103, Time  0.446645
2021-09-25 15:27:25.482929 : Epoch  8, Batch    728, Loss  0.865333, Average Loss  0.869748, Time  0.447179
2021-09-25 15:27:30.065803 : Epoch  9, Batch    146, Loss  0.864998, Average Loss  0.870152, Time  0.455487
2021-09-25 15:27:31.549352 : Epoch  8, Batch    729, Loss  0.883188, Average Loss  0.869836, Time  0.444435
2021-09-25 15:27:36.121197 : Epoch  9, Batch    147, Loss  0.871574, Average Loss  0.870107, Time  0.445537
2021-09-25 15:27:37.599608 : Epoch  8, Batch    730, Loss  0.878051, Average Loss  0.869832, Time  0.444237
2021-09-25 15:27:42.199210 : Epoch  9, Batch    148, Loss  0.864819, Average Loss  0.870113, Time  0.445542
2021-09-25 15:27:43.683862 : Epoch  8, Batch    731, Loss  0.867309, Average Loss  0.869759, Time  0.444090
2021-09-25 15:27:48.270996 : Epoch  9, Batch    149, Loss  0.885775, Average Loss  0.870241, Time  0.445602
2021-09-25 15:27:49.779860 : Epoch  8, Batch    732, Loss  0.883660, Average Loss  0.869790, Time  0.450236
2021-09-25 15:27:54.348800 : Epoch  9, Batch    150, Loss  0.866837, Average Loss  0.870236, Time  0.445279
2021-09-25 15:27:55.834826 : Epoch  8, Batch    733, Loss  0.847252, Average Loss  0.869643, Time  0.444675
2021-09-25 15:28:00.402365 : Epoch  9, Batch    151, Loss  0.869146, Average Loss  0.870266, Time  0.444923
2021-09-25 15:28:01.924670 : Epoch  8, Batch    734, Loss  0.867889, Average Loss  0.869594, Time  0.458660
2021-09-25 15:28:06.465878 : Epoch  9, Batch    152, Loss  0.867228, Average Loss  0.870247, Time  0.446293
2021-09-25 15:28:08.007960 : Epoch  8, Batch    735, Loss  0.876588, Average Loss  0.869665, Time  0.447174
2021-09-25 15:28:12.539113 : Epoch  9, Batch    153, Loss  0.863167, Average Loss  0.870201, Time  0.447731
2021-09-25 15:28:14.079258 : Epoch  8, Batch    736, Loss  0.879779, Average Loss  0.869754, Time  0.444508
2021-09-25 15:28:18.611774 : Epoch  9, Batch    154, Loss  0.869343, Average Loss  0.870185, Time  0.459084
2021-09-25 15:28:20.170290 : Epoch  8, Batch    737, Loss  0.875663, Average Loss  0.869742, Time  0.445876
2021-09-25 15:28:24.684882 : Epoch  9, Batch    155, Loss  0.872903, Average Loss  0.870173, Time  0.446258
2021-09-25 15:28:26.250669 : Epoch  8, Batch    738, Loss  0.880084, Average Loss  0.869786, Time  0.444246
2021-09-25 15:28:30.737708 : Epoch  9, Batch    156, Loss  0.864778, Average Loss  0.870227, Time  0.447869
2021-09-25 15:28:32.304783 : Epoch  8, Batch    739, Loss  0.866781, Average Loss  0.869783, Time  0.443548
2021-09-25 15:28:36.800957 : Epoch  9, Batch    157, Loss  0.872978, Average Loss  0.870283, Time  0.452921
2021-09-25 15:28:38.381382 : Epoch  8, Batch    740, Loss  0.872616, Average Loss  0.869803, Time  0.445087
2021-09-25 15:28:42.860757 : Epoch  9, Batch    158, Loss  0.879138, Average Loss  0.870296, Time  0.447061
2021-09-25 15:28:44.448153 : Epoch  8, Batch    741, Loss  0.863273, Average Loss  0.869787, Time  0.453177
2021-09-25 15:28:48.914066 : Epoch  9, Batch    159, Loss  0.877377, Average Loss  0.870346, Time  0.446831
2021-09-25 15:28:50.522519 : Epoch  8, Batch    742, Loss  0.881095, Average Loss  0.869861, Time  0.444858
2021-09-25 15:28:54.971977 : Epoch  9, Batch    160, Loss  0.869847, Average Loss  0.870323, Time  0.445300
2021-09-25 15:28:56.564494 : Epoch  8, Batch    743, Loss  0.868947, Average Loss  0.869895, Time  0.442912
2021-09-25 15:29:01.035064 : Epoch  9, Batch    161, Loss  0.869224, Average Loss  0.870263, Time  0.464610
2021-09-25 15:29:02.619136 : Epoch  8, Batch    744, Loss  0.864412, Average Loss  0.869926, Time  0.444547
2021-09-25 15:29:07.081221 : Epoch  9, Batch    162, Loss  0.867860, Average Loss  0.870217, Time  0.445675
2021-09-25 15:29:08.685286 : Epoch  8, Batch    745, Loss  0.891783, Average Loss  0.870079, Time  0.443532
2021-09-25 15:29:13.134254 : Epoch  9, Batch    163, Loss  0.873502, Average Loss  0.870251, Time  0.447445
2021-09-25 15:29:14.730299 : Epoch  8, Batch    746, Loss  0.867981, Average Loss  0.870068, Time  0.443766
2021-09-25 15:29:19.203534 : Epoch  9, Batch    164, Loss  0.879664, Average Loss  0.870319, Time  0.445249
2021-09-25 15:29:20.817413 : Epoch  8, Batch    747, Loss  0.875120, Average Loss  0.870058, Time  0.444404
2021-09-25 15:29:25.270870 : Epoch  9, Batch    165, Loss  0.864208, Average Loss  0.870333, Time  0.445870
2021-09-25 15:29:26.906562 : Epoch  8, Batch    748, Loss  0.874485, Average Loss  0.870091, Time  0.444610
2021-09-25 15:29:31.326690 : Epoch  9, Batch    166, Loss  0.871479, Average Loss  0.870358, Time  0.448156
2021-09-25 15:29:33.003689 : Epoch  8, Batch    749, Loss  0.872703, Average Loss  0.870139, Time  0.458652
2021-09-25 15:29:37.378178 : Epoch  9, Batch    167, Loss  0.875257, Average Loss  0.870400, Time  0.447195
2021-09-25 15:29:39.079253 : Epoch  8, Batch    750, Loss  0.875939, Average Loss  0.870165, Time  0.443951
2021-09-25 15:29:43.435789 : Epoch  9, Batch    168, Loss  0.864552, Average Loss  0.870374, Time  0.446707
2021-09-25 15:29:45.164764 : Epoch  8, Batch    751, Loss  0.857290, Average Loss  0.870110, Time  0.445049
2021-09-25 15:29:49.521635 : Epoch  9, Batch    169, Loss  0.870445, Average Loss  0.870357, Time  0.460946
2021-09-25 15:29:51.228796 : Epoch  8, Batch    752, Loss  0.863412, Average Loss  0.870120, Time  0.443804
2021-09-25 15:29:55.580878 : Epoch  9, Batch    170, Loss  0.889599, Average Loss  0.870443, Time  0.445054
2021-09-25 15:29:57.271742 : Epoch  8, Batch    753, Loss  0.866418, Average Loss  0.870157, Time  0.444990
2021-09-25 15:30:01.679368 : Epoch  9, Batch    171, Loss  0.867278, Average Loss  0.870469, Time  0.446550
2021-09-25 15:30:03.340751 : Epoch  8, Batch    754, Loss  0.879150, Average Loss  0.870250, Time  0.443587
2021-09-25 15:30:07.721042 : Epoch  9, Batch    172, Loss  0.860667, Average Loss  0.870467, Time  0.446054
2021-09-25 15:30:09.411008 : Epoch  8, Batch    755, Loss  0.872814, Average Loss  0.870211, Time  0.448416
2021-09-25 15:30:13.768611 : Epoch  9, Batch    173, Loss  0.864675, Average Loss  0.870474, Time  0.444813
2021-09-25 15:30:15.488787 : Epoch  8, Batch    756, Loss  0.875915, Average Loss  0.870266, Time  0.456512
2021-09-25 15:30:19.834685 : Epoch  9, Batch    174, Loss  0.872617, Average Loss  0.870507, Time  0.448980
2021-09-25 15:30:21.548194 : Epoch  8, Batch    757, Loss  0.853164, Average Loss  0.870181, Time  0.444916
2021-09-25 15:30:25.869617 : Epoch  9, Batch    175, Loss  0.870771, Average Loss  0.870494, Time  0.447102
2021-09-25 15:30:27.639742 : Epoch  8, Batch    758, Loss  0.858192, Average Loss  0.870101, Time  0.444454
2021-09-25 15:30:31.951240 : Epoch  9, Batch    176, Loss  0.873627, Average Loss  0.870580, Time  0.462382
2021-09-25 15:30:33.745932 : Epoch  8, Batch    759, Loss  0.874154, Average Loss  0.870206, Time  0.445909
2021-09-25 15:30:39.811090 : Epoch  8, Batch    760, Loss  0.862296, Average Loss  0.870159, Time  0.443811
2021-09-25 15:30:45.928619 : Epoch  8, Batch    761, Loss  0.858630, Average Loss  0.870134, Time  0.443779
2021-09-25 15:30:51.997611 : Epoch  8, Batch    762, Loss  0.871689, Average Loss  0.870122, Time  0.443844
2021-09-25 15:30:58.066823 : Epoch  8, Batch    763, Loss  0.862309, Average Loss  0.870168, Time  0.445581
2021-09-25 15:31:04.162521 : Epoch  8, Batch    764, Loss  0.863427, Average Loss  0.870184, Time  0.454364
2021-09-25 15:31:10.243836 : Epoch  8, Batch    765, Loss  0.849432, Average Loss  0.870008, Time  0.445055
2021-09-25 15:31:16.300063 : Epoch  8, Batch    766, Loss  0.858536, Average Loss  0.869935, Time  0.447146
2021-09-25 15:31:22.348698 : Epoch  8, Batch    767, Loss  0.858285, Average Loss  0.869897, Time  0.445600
2021-09-25 15:31:28.421551 : Epoch  8, Batch    768, Loss  0.864969, Average Loss  0.869854, Time  0.445990
2021-09-25 15:31:34.507926 : Epoch  8, Batch    769, Loss  0.876908, Average Loss  0.869914, Time  0.448179
2021-09-25 15:31:40.574390 : Epoch  8, Batch    770, Loss  0.861903, Average Loss  0.869850, Time  0.456309
2021-09-25 15:31:46.681482 : Epoch  8, Batch    771, Loss  0.860973, Average Loss  0.869853, Time  0.460912
2021-09-25 15:31:52.751310 : Epoch  8, Batch    772, Loss  0.867274, Average Loss  0.869868, Time  0.448484
2021-09-25 15:31:58.815780 : Epoch  8, Batch    773, Loss  0.869691, Average Loss  0.869796, Time  0.447299
2021-09-25 15:32:04.910603 : Epoch  8, Batch    774, Loss  0.881240, Average Loss  0.869870, Time  0.445282
2021-09-25 15:32:10.998185 : Epoch  8, Batch    775, Loss  0.850226, Average Loss  0.869768, Time  0.444336
2021-09-25 15:32:17.081391 : Epoch  8, Batch    776, Loss  0.871194, Average Loss  0.869740, Time  0.444846
2021-09-25 15:32:23.163858 : Epoch  8, Batch    777, Loss  0.887077, Average Loss  0.869876, Time  0.444580
2021-09-25 15:32:29.240788 : Epoch  8, Batch    778, Loss  0.858165, Average Loss  0.869861, Time  0.444059
2021-09-25 15:32:35.305366 : Epoch  8, Batch    779, Loss  0.872773, Average Loss  0.869877, Time  0.460486
2021-09-25 15:32:41.399820 : Epoch  8, Batch    780, Loss  0.876218, Average Loss  0.869905, Time  0.444367
2021-09-25 15:32:47.483839 : Epoch  8, Batch    781, Loss  0.890580, Average Loss  0.870002, Time  0.444246
2021-09-25 15:32:53.540468 : Epoch  8, Batch    782, Loss  0.852793, Average Loss  0.869847, Time  0.443594
2021-09-25 15:32:59.619980 : Epoch  8, Batch    783, Loss  0.862303, Average Loss  0.869784, Time  0.454890
2021-09-25 15:33:05.701746 : Epoch  8, Batch    784, Loss  0.885375, Average Loss  0.869860, Time  0.447822
2021-09-25 15:33:11.747422 : Epoch  8, Batch    785, Loss  0.872398, Average Loss  0.869866, Time  0.444719
2021-09-25 15:33:17.833630 : Epoch  8, Batch    786, Loss  0.874991, Average Loss  0.869807, Time  0.456400
2021-09-25 15:33:23.943611 : Epoch  8, Batch    787, Loss  0.872362, Average Loss  0.869791, Time  0.445851
2021-09-25 15:33:30.025915 : Epoch  8, Batch    788, Loss  0.873502, Average Loss  0.869801, Time  0.443835
2021-09-25 15:33:36.088348 : Epoch  8, Batch    789, Loss  0.880827, Average Loss  0.869810, Time  0.444402
2021-09-25 15:33:42.173754 : Epoch  8, Batch    790, Loss  0.877209, Average Loss  0.869796, Time  0.447840
2021-09-25 15:33:48.236766 : Epoch  8, Batch    791, Loss  0.869935, Average Loss  0.869764, Time  0.443820
2021-09-25 15:33:54.316525 : Epoch  8, Batch    792, Loss  0.874503, Average Loss  0.869775, Time  0.443684
2021-09-25 15:34:00.396422 : Epoch  8, Batch    793, Loss  0.861912, Average Loss  0.869719, Time  0.444724
2021-09-25 15:34:06.502772 : Epoch  8, Batch    794, Loss  0.872627, Average Loss  0.869809, Time  0.453504
2021-09-25 15:34:12.560394 : Epoch  8, Batch    795, Loss  0.851210, Average Loss  0.869705, Time  0.444121
2021-09-25 15:34:18.627400 : Epoch  8, Batch    796, Loss  0.875122, Average Loss  0.869711, Time  0.444884
2021-09-25 15:34:24.714689 : Epoch  8, Batch    797, Loss  0.845831, Average Loss  0.869552, Time  0.443764
2021-09-25 15:34:30.789687 : Epoch  8, Batch    798, Loss  0.868869, Average Loss  0.869480, Time  0.443539
2021-09-25 15:34:36.871765 : Epoch  8, Batch    799, Loss  0.856206, Average Loss  0.869409, Time  0.445793
2021-09-25 15:34:42.914010 : Epoch  8, Batch    800, Loss  0.868936, Average Loss  0.869401, Time  0.444461
2021-09-25 15:34:49.011286 : Epoch  8, Batch    801, Loss  0.861913, Average Loss  0.869416, Time  0.464256
2021-09-25 15:34:55.089942 : Epoch  8, Batch    802, Loss  0.870728, Average Loss  0.869444, Time  0.444127
2021-09-25 15:35:01.175978 : Epoch  8, Batch    803, Loss  0.868005, Average Loss  0.869477, Time  0.445166
2021-09-25 15:35:07.248714 : Epoch  8, Batch    804, Loss  0.871780, Average Loss  0.869385, Time  0.446850
2021-09-25 15:35:16.091686 : CheckPoint: Validation Loss  0.00015195, Best Loss  0.00014804
2021-09-25 15:35:22.166820 : Epoch  9, Batch    177, Loss  0.881278, Average Loss  0.870607, Time  0.449152
2021-09-25 15:35:28.223719 : Epoch  9, Batch    178, Loss  0.869348, Average Loss  0.870530, Time  0.444900
2021-09-25 15:35:34.283748 : Epoch  9, Batch    179, Loss  0.869565, Average Loss  0.870496, Time  0.445001
2021-09-25 15:35:40.346973 : Epoch  9, Batch    180, Loss  0.864903, Average Loss  0.870514, Time  0.447862
2021-09-25 15:35:46.403148 : Epoch  9, Batch    181, Loss  0.863967, Average Loss  0.870544, Time  0.447620
2021-09-25 15:35:52.471245 : Epoch  9, Batch    182, Loss  0.854404, Average Loss  0.870432, Time  0.453579
2021-09-25 15:35:58.533200 : Epoch  9, Batch    183, Loss  0.871690, Average Loss  0.870424, Time  0.456164
2021-09-25 15:36:04.583367 : Epoch  9, Batch    184, Loss  0.875906, Average Loss  0.870437, Time  0.445946
2021-09-25 15:36:10.650467 : Epoch  9, Batch    185, Loss  0.877422, Average Loss  0.870454, Time  0.449087
2021-09-25 15:36:16.700902 : Epoch  9, Batch    186, Loss  0.870267, Average Loss  0.870456, Time  0.445984
2021-09-25 15:36:22.774885 : Epoch  9, Batch    187, Loss  0.874504, Average Loss  0.870451, Time  0.448145
2021-09-25 15:36:28.837774 : Epoch  9, Batch    188, Loss  0.880349, Average Loss  0.870575, Time  0.445225
2021-09-25 15:36:34.899879 : Epoch  9, Batch    189, Loss  0.853226, Average Loss  0.870498, Time  0.446638
2021-09-25 15:36:40.993683 : Epoch  9, Batch    190, Loss  0.877903, Average Loss  0.870611, Time  0.461986
2021-09-25 15:36:47.048251 : Epoch  9, Batch    191, Loss  0.856621, Average Loss  0.870586, Time  0.452919
2021-09-25 15:36:53.105349 : Epoch  9, Batch    192, Loss  0.884758, Average Loss  0.870689, Time  0.462130
2021-09-25 15:36:59.169977 : Epoch  9, Batch    193, Loss  0.868480, Average Loss  0.870708, Time  0.449659
2021-09-25 15:37:05.229057 : Epoch  9, Batch    194, Loss  0.868875, Average Loss  0.870722, Time  0.446316
2021-09-25 15:37:11.281017 : Epoch  9, Batch    195, Loss  0.879842, Average Loss  0.870724, Time  0.445462
2021-09-25 15:37:17.342820 : Epoch  9, Batch    196, Loss  0.871349, Average Loss  0.870690, Time  0.445606
2021-09-25 15:37:23.397323 : Epoch  9, Batch    197, Loss  0.870280, Average Loss  0.870667, Time  0.453063
2021-09-25 15:37:29.436545 : Epoch  9, Batch    198, Loss  0.868712, Average Loss  0.870670, Time  0.444854
2021-09-25 15:37:35.484930 : Epoch  9, Batch    199, Loss  0.876591, Average Loss  0.870715, Time  0.445576
2021-09-25 15:37:41.560248 : Epoch  9, Batch    200, Loss  0.876634, Average Loss  0.870781, Time  0.453084
2021-09-25 15:37:47.630658 : Epoch  9, Batch    201, Loss  0.875205, Average Loss  0.870768, Time  0.448530
2021-09-25 15:37:53.705413 : Epoch  9, Batch    202, Loss  0.850141, Average Loss  0.870650, Time  0.447211
2021-09-25 15:37:59.751146 : Epoch  9, Batch    203, Loss  0.868049, Average Loss  0.870633, Time  0.445854
2021-09-25 15:38:05.810461 : Epoch  9, Batch    204, Loss  0.876894, Average Loss  0.870681, Time  0.445267
2021-09-25 15:38:11.845877 : Epoch  9, Batch    205, Loss  0.879677, Average Loss  0.870720, Time  0.453390
2021-09-25 15:38:17.898866 : Epoch  9, Batch    206, Loss  0.862596, Average Loss  0.870643, Time  0.446151
2021-09-25 15:38:23.970053 : Epoch  9, Batch    207, Loss  0.866605, Average Loss  0.870680, Time  0.449681
2021-09-25 15:38:30.027383 : Epoch  9, Batch    208, Loss  0.867793, Average Loss  0.870714, Time  0.445961
2021-09-25 15:38:36.079659 : Epoch  9, Batch    209, Loss  0.874348, Average Loss  0.870816, Time  0.445434
2021-09-25 15:38:42.146120 : Epoch  9, Batch    210, Loss  0.857335, Average Loss  0.870786, Time  0.445228
2021-09-25 15:38:48.185505 : Epoch  9, Batch    211, Loss  0.852981, Average Loss  0.870642, Time  0.446438
2021-09-25 15:38:54.270885 : Epoch  9, Batch    212, Loss  0.854077, Average Loss  0.870471, Time  0.456800
2021-09-25 15:39:00.333083 : Epoch  9, Batch    213, Loss  0.871221, Average Loss  0.870517, Time  0.456190
2021-09-25 15:39:06.402018 : Epoch  9, Batch    214, Loss  0.862370, Average Loss  0.870491, Time  0.448815
2021-09-25 15:39:12.454010 : Epoch  9, Batch    215, Loss  0.872518, Average Loss  0.870473, Time  0.445058
2021-09-25 15:39:18.533165 : Epoch  9, Batch    216, Loss  0.877124, Average Loss  0.870505, Time  0.445090
2021-09-25 15:39:24.583206 : Epoch  9, Batch    217, Loss  0.861054, Average Loss  0.870458, Time  0.444938
2021-09-25 15:39:30.632876 : Epoch  9, Batch    218, Loss  0.871091, Average Loss  0.870435, Time  0.445019
2021-09-25 15:39:36.715221 : Epoch  9, Batch    219, Loss  0.874261, Average Loss  0.870505, Time  0.455813
2021-09-25 15:39:42.779135 : Epoch  9, Batch    220, Loss  0.881883, Average Loss  0.870491, Time  0.451520
2021-09-25 15:39:48.840961 : Epoch  9, Batch    221, Loss  0.871314, Average Loss  0.870542, Time  0.444913
2021-09-25 15:39:51.432429 : CheckPoint: Validation Loss  0.00015091, Best Loss  0.00014737
2021-09-25 15:39:54.893376 : Epoch  9, Batch    222, Loss  0.880579, Average Loss  0.870628, Time  0.444887
2021-09-25 15:39:57.454374 : Epoch  8, Batch    805, Loss  0.863000, Average Loss  0.869351, Time  0.444224
2021-09-25 15:40:00.972339 : Epoch  9, Batch    223, Loss  0.864047, Average Loss  0.870574, Time  0.448312
2021-09-25 15:40:03.551808 : Epoch  8, Batch    806, Loss  0.860666, Average Loss  0.869313, Time  0.444165
2021-09-25 15:40:07.024612 : Epoch  9, Batch    224, Loss  0.864498, Average Loss  0.870503, Time  0.444685
2021-09-25 15:40:09.648928 : Epoch  8, Batch    807, Loss  0.866422, Average Loss  0.869277, Time  0.454340
2021-09-25 15:40:13.081433 : Epoch  9, Batch    225, Loss  0.889418, Average Loss  0.870524, Time  0.445437
2021-09-25 15:40:15.742705 : Epoch  8, Batch    808, Loss  0.877633, Average Loss  0.869331, Time  0.443734
2021-09-25 15:40:19.145180 : Epoch  9, Batch    226, Loss  0.866307, Average Loss  0.870460, Time  0.446551
2021-09-25 15:40:21.820814 : Epoch  8, Batch    809, Loss  0.887589, Average Loss  0.869532, Time  0.444837
2021-09-25 15:40:25.220903 : Epoch  9, Batch    227, Loss  0.873266, Average Loss  0.870508, Time  0.454073
2021-09-25 15:40:27.893073 : Epoch  8, Batch    810, Loss  0.863593, Average Loss  0.869506, Time  0.444562
2021-09-25 15:40:31.275664 : Epoch  9, Batch    228, Loss  0.844429, Average Loss  0.870431, Time  0.445921
2021-09-25 15:40:34.013056 : Epoch  8, Batch    811, Loss  0.857938, Average Loss  0.869467, Time  0.443559
2021-09-25 15:40:37.326180 : Epoch  9, Batch    229, Loss  0.867454, Average Loss  0.870420, Time  0.445126
2021-09-25 15:40:40.104226 : Epoch  8, Batch    812, Loss  0.882170, Average Loss  0.869528, Time  0.445306
2021-09-25 15:40:43.386041 : Epoch  9, Batch    230, Loss  0.869814, Average Loss  0.870413, Time  0.445308
2021-09-25 15:40:46.185087 : Epoch  8, Batch    813, Loss  0.868922, Average Loss  0.869432, Time  0.443598
2021-09-25 15:40:49.436276 : Epoch  9, Batch    231, Loss  0.859751, Average Loss  0.870415, Time  0.444622
2021-09-25 15:40:52.267332 : Epoch  8, Batch    814, Loss  0.871045, Average Loss  0.869366, Time  0.444423
2021-09-25 15:40:55.493204 : Epoch  9, Batch    232, Loss  0.858072, Average Loss  0.870336, Time  0.446891
2021-09-25 15:40:58.342208 : Epoch  8, Batch    815, Loss  0.872926, Average Loss  0.869336, Time  0.458761
2021-09-25 15:41:01.528275 : Epoch  9, Batch    233, Loss  0.872666, Average Loss  0.870388, Time  0.463359
2021-09-25 15:41:04.430044 : Epoch  8, Batch    816, Loss  0.841499, Average Loss  0.869245, Time  0.445757
2021-09-25 15:41:07.585812 : Epoch  9, Batch    234, Loss  0.883309, Average Loss  0.870392, Time  0.449616
2021-09-25 15:41:10.497748 : Epoch  8, Batch    817, Loss  0.889013, Average Loss  0.869279, Time  0.446463
2021-09-25 15:41:13.659290 : Epoch  9, Batch    235, Loss  0.868696, Average Loss  0.870360, Time  0.456014
2021-09-25 15:41:16.560386 : Epoch  8, Batch    818, Loss  0.857378, Average Loss  0.869186, Time  0.443985
2021-09-25 15:41:19.704154 : Epoch  9, Batch    236, Loss  0.879780, Average Loss  0.870401, Time  0.451268
2021-09-25 15:41:22.623110 : Epoch  8, Batch    819, Loss  0.867313, Average Loss  0.869148, Time  0.444429
2021-09-25 15:41:25.766920 : Epoch  9, Batch    237, Loss  0.864460, Average Loss  0.870442, Time  0.446695
2021-09-25 15:41:28.716736 : Epoch  8, Batch    820, Loss  0.859189, Average Loss  0.869093, Time  0.445252
2021-09-25 15:41:31.820226 : Epoch  9, Batch    238, Loss  0.871920, Average Loss  0.870461, Time  0.447339
2021-09-25 15:41:34.805160 : Epoch  8, Batch    821, Loss  0.864015, Average Loss  0.869062, Time  0.444757
2021-09-25 15:41:37.879128 : Epoch  9, Batch    239, Loss  0.862793, Average Loss  0.870472, Time  0.445049
2021-09-25 15:41:40.908952 : Epoch  8, Batch    822, Loss  0.866224, Average Loss  0.869036, Time  0.453483
2021-09-25 15:41:43.938846 : Epoch  9, Batch    240, Loss  0.876859, Average Loss  0.870496, Time  0.445252
2021-09-25 15:41:46.971416 : Epoch  8, Batch    823, Loss  0.878436, Average Loss  0.869058, Time  0.444513
2021-09-25 15:41:49.988182 : Epoch  9, Batch    241, Loss  0.869861, Average Loss  0.870518, Time  0.444617
2021-09-25 15:41:53.053119 : Epoch  8, Batch    824, Loss  0.878040, Average Loss  0.869155, Time  0.444073
2021-09-25 15:41:56.068462 : Epoch  9, Batch    242, Loss  0.872692, Average Loss  0.870520, Time  0.457503
2021-09-25 15:41:59.116612 : Epoch  8, Batch    825, Loss  0.865200, Average Loss  0.869199, Time  0.444299
2021-09-25 15:42:02.116511 : Epoch  9, Batch    243, Loss  0.872745, Average Loss  0.870542, Time  0.445650
2021-09-25 15:42:05.197054 : Epoch  8, Batch    826, Loss  0.883566, Average Loss  0.869303, Time  0.444413
2021-09-25 15:42:08.182574 : Epoch  9, Batch    244, Loss  0.855607, Average Loss  0.870454, Time  0.446590
2021-09-25 15:42:11.262253 : Epoch  8, Batch    827, Loss  0.855117, Average Loss  0.869209, Time  0.443657
2021-09-25 15:42:14.246500 : Epoch  9, Batch    245, Loss  0.864861, Average Loss  0.870413, Time  0.456447
2021-09-25 15:42:17.337287 : Epoch  8, Batch    828, Loss  0.881229, Average Loss  0.869216, Time  0.445341
2021-09-25 15:42:20.327752 : Epoch  9, Batch    246, Loss  0.875168, Average Loss  0.870390, Time  0.446484
2021-09-25 15:42:23.413218 : Epoch  8, Batch    829, Loss  0.878574, Average Loss  0.869238, Time  0.446818
2021-09-25 15:42:26.421440 : Epoch  9, Batch    247, Loss  0.867973, Average Loss  0.870279, Time  0.445171
2021-09-25 15:42:29.520416 : Epoch  8, Batch    830, Loss  0.856563, Average Loss  0.869195, Time  0.456009
2021-09-25 15:42:32.480697 : Epoch  9, Batch    248, Loss  0.871792, Average Loss  0.870318, Time  0.444883
2021-09-25 15:42:35.606190 : Epoch  8, Batch    831, Loss  0.863714, Average Loss  0.869163, Time  0.444612
2021-09-25 15:42:38.542761 : Epoch  9, Batch    249, Loss  0.880205, Average Loss  0.870295, Time  0.445736
2021-09-25 15:42:41.678562 : Epoch  8, Batch    832, Loss  0.870759, Average Loss  0.869093, Time  0.445971
2021-09-25 15:42:44.602044 : Epoch  9, Batch    250, Loss  0.883026, Average Loss  0.870327, Time  0.451698
2021-09-25 15:42:47.768443 : Epoch  8, Batch    833, Loss  0.877975, Average Loss  0.869104, Time  0.444816
2021-09-25 15:42:50.663775 : Epoch  9, Batch    251, Loss  0.866100, Average Loss  0.870309, Time  0.446616
2021-09-25 15:42:53.868755 : Epoch  8, Batch    834, Loss  0.859724, Average Loss  0.869112, Time  0.446031
2021-09-25 15:42:56.740296 : Epoch  9, Batch    252, Loss  0.866133, Average Loss  0.870255, Time  0.448978
2021-09-25 15:42:59.950379 : Epoch  8, Batch    835, Loss  0.869233, Average Loss  0.869047, Time  0.448280
2021-09-25 15:43:02.808803 : Epoch  9, Batch    253, Loss  0.854846, Average Loss  0.870239, Time  0.446141
2021-09-25 15:43:06.033455 : Epoch  8, Batch    836, Loss  0.865831, Average Loss  0.868980, Time  0.449378
2021-09-25 15:43:08.870510 : Epoch  9, Batch    254, Loss  0.879178, Average Loss  0.870336, Time  0.445446
2021-09-25 15:43:12.128888 : Epoch  8, Batch    837, Loss  0.863946, Average Loss  0.868937, Time  0.458818
2021-09-25 15:43:14.939799 : Epoch  9, Batch    255, Loss  0.878227, Average Loss  0.870337, Time  0.445177
2021-09-25 15:43:18.214822 : Epoch  8, Batch    838, Loss  0.859161, Average Loss  0.868817, Time  0.445765
2021-09-25 15:43:20.996577 : Epoch  9, Batch    256, Loss  0.866024, Average Loss  0.870335, Time  0.446964
2021-09-25 15:43:24.316964 : Epoch  8, Batch    839, Loss  0.881196, Average Loss  0.868926, Time  0.449462
2021-09-25 15:43:27.057633 : Epoch  9, Batch    257, Loss  0.867219, Average Loss  0.870328, Time  0.451054
2021-09-25 15:43:30.406269 : Epoch  8, Batch    840, Loss  0.890377, Average Loss  0.869012, Time  0.446364
2021-09-25 15:43:33.099307 : Epoch  9, Batch    258, Loss  0.868020, Average Loss  0.870389, Time  0.445231
2021-09-25 15:43:36.484320 : Epoch  8, Batch    841, Loss  0.886131, Average Loss  0.869047, Time  0.444653
2021-09-25 15:43:39.184854 : Epoch  9, Batch    259, Loss  0.882774, Average Loss  0.870442, Time  0.445618
2021-09-25 15:43:42.574142 : Epoch  8, Batch    842, Loss  0.872816, Average Loss  0.868990, Time  0.444860
2021-09-25 15:43:45.270017 : Epoch  9, Batch    260, Loss  0.872857, Average Loss  0.870381, Time  0.444498
2021-09-25 15:43:48.650984 : Epoch  8, Batch    843, Loss  0.874087, Average Loss  0.868964, Time  0.447080
2021-09-25 15:43:51.361897 : Epoch  9, Batch    261, Loss  0.872625, Average Loss  0.870459, Time  0.464278
2021-09-25 15:43:54.725378 : Epoch  8, Batch    844, Loss  0.885995, Average Loss  0.869032, Time  0.444526
2021-09-25 15:43:57.454144 : Epoch  9, Batch    262, Loss  0.853962, Average Loss  0.870335, Time  0.447941
2021-09-25 15:44:00.827094 : Epoch  8, Batch    845, Loss  0.866732, Average Loss  0.868987, Time  0.460582
2021-09-25 15:44:03.555702 : Epoch  9, Batch    263, Loss  0.857619, Average Loss  0.870254, Time  0.445176
2021-09-25 15:44:06.920892 : Epoch  8, Batch    846, Loss  0.888366, Average Loss  0.869082, Time  0.444380
2021-09-25 15:44:09.647457 : Epoch  9, Batch    264, Loss  0.866708, Average Loss  0.870264, Time  0.448567
2021-09-25 15:44:13.010946 : Epoch  8, Batch    847, Loss  0.868689, Average Loss  0.869012, Time  0.445878
2021-09-25 15:44:15.760579 : Epoch  9, Batch    265, Loss  0.857285, Average Loss  0.870200, Time  0.460139
2021-09-25 15:44:19.090334 : Epoch  8, Batch    848, Loss  0.867579, Average Loss  0.869025, Time  0.444711
2021-09-25 15:44:21.876702 : Epoch  9, Batch    266, Loss  0.866124, Average Loss  0.870215, Time  0.445969
2021-09-25 15:44:25.197787 : Epoch  8, Batch    849, Loss  0.866057, Average Loss  0.869011, Time  0.444467
2021-09-25 15:44:27.970726 : Epoch  9, Batch    267, Loss  0.867807, Average Loss  0.870249, Time  0.445231
2021-09-25 15:44:31.297216 : Epoch  8, Batch    850, Loss  0.866198, Average Loss  0.868969, Time  0.444480
2021-09-25 15:44:34.044918 : Epoch  9, Batch    268, Loss  0.872634, Average Loss  0.870238, Time  0.445012
2021-09-25 15:44:37.401813 : Epoch  8, Batch    851, Loss  0.852361, Average Loss  0.868819, Time  0.447380
2021-09-25 15:44:40.105414 : Epoch  9, Batch    269, Loss  0.877644, Average Loss  0.870239, Time  0.445286
2021-09-25 15:44:43.506968 : Epoch  8, Batch    852, Loss  0.873293, Average Loss  0.868773, Time  0.464809
2021-09-25 15:44:46.186703 : Epoch  9, Batch    270, Loss  0.875629, Average Loss  0.870231, Time  0.445463
2021-09-25 15:44:49.590041 : Epoch  8, Batch    853, Loss  0.868393, Average Loss  0.868792, Time  0.448093
2021-09-25 15:44:52.268885 : Epoch  9, Batch    271, Loss  0.874667, Average Loss  0.870243, Time  0.445956
2021-09-25 15:44:55.674922 : Epoch  8, Batch    854, Loss  0.854675, Average Loss  0.868761, Time  0.444100
2021-09-25 15:44:58.361259 : Epoch  9, Batch    272, Loss  0.853915, Average Loss  0.870177, Time  0.460724
2021-09-25 15:45:01.757299 : Epoch  8, Batch    855, Loss  0.871241, Average Loss  0.868867, Time  0.448339
2021-09-25 15:45:04.443984 : Epoch  9, Batch    273, Loss  0.878115, Average Loss  0.870232, Time  0.444993
2021-09-25 15:45:07.833592 : Epoch  8, Batch    856, Loss  0.870295, Average Loss  0.868879, Time  0.443711
2021-09-25 15:45:10.504910 : Epoch  9, Batch    274, Loss  0.878891, Average Loss  0.870240, Time  0.444835
2021-09-25 15:45:13.931687 : Epoch  8, Batch    857, Loss  0.873202, Average Loss  0.868843, Time  0.443613
2021-09-25 15:45:16.565286 : Epoch  9, Batch    275, Loss  0.869087, Average Loss  0.870198, Time  0.446471
2021-09-25 15:45:20.006510 : Epoch  8, Batch    858, Loss  0.869508, Average Loss  0.868830, Time  0.444163
2021-09-25 15:45:22.642839 : Epoch  9, Batch    276, Loss  0.872330, Average Loss  0.870189, Time  0.444816
2021-09-25 15:45:26.143506 : Epoch  8, Batch    859, Loss  0.863903, Average Loss  0.868840, Time  0.446537
2021-09-25 15:45:32.242594 : Epoch  8, Batch    860, Loss  0.881966, Average Loss  0.868975, Time  0.465856
2021-09-25 15:45:38.318520 : Epoch  8, Batch    861, Loss  0.862947, Average Loss  0.868943, Time  0.446169
2021-09-25 15:45:44.448952 : Epoch  8, Batch    862, Loss  0.874043, Average Loss  0.868972, Time  0.446935
2021-09-25 15:45:50.536634 : Epoch  8, Batch    863, Loss  0.866293, Average Loss  0.868943, Time  0.443924
2021-09-25 15:45:56.633019 : Epoch  8, Batch    864, Loss  0.870907, Average Loss  0.868885, Time  0.444167
2021-09-25 15:46:02.757745 : Epoch  8, Batch    865, Loss  0.852880, Average Loss  0.868792, Time  0.446104
2021-09-25 15:46:08.833703 : Epoch  8, Batch    866, Loss  0.871668, Average Loss  0.868841, Time  0.444135
2021-09-25 15:46:14.924113 : Epoch  8, Batch    867, Loss  0.867327, Average Loss  0.868790, Time  0.458302
2021-09-25 15:46:20.997988 : Epoch  8, Batch    868, Loss  0.878570, Average Loss  0.868784, Time  0.447318
2021-09-25 15:46:27.084656 : Epoch  8, Batch    869, Loss  0.871160, Average Loss  0.868813, Time  0.445618
2021-09-25 15:46:33.154188 : Epoch  8, Batch    870, Loss  0.887475, Average Loss  0.868842, Time  0.445086
2021-09-25 15:46:39.222657 : Epoch  8, Batch    871, Loss  0.867468, Average Loss  0.868869, Time  0.444593
2021-09-25 15:46:45.291852 : Epoch  8, Batch    872, Loss  0.858991, Average Loss  0.868808, Time  0.447809
2021-09-25 15:46:51.371407 : Epoch  8, Batch    873, Loss  0.866937, Average Loss  0.868824, Time  0.444905
2021-09-25 15:46:57.445420 : Epoch  8, Batch    874, Loss  0.875360, Average Loss  0.868907, Time  0.444761
2021-09-25 15:47:03.551768 : Epoch  8, Batch    875, Loss  0.873337, Average Loss  0.868915, Time  0.459473
2021-09-25 15:47:09.636551 : Epoch  8, Batch    876, Loss  0.871658, Average Loss  0.869011, Time  0.444118
2021-09-25 15:47:15.707282 : Epoch  8, Batch    877, Loss  0.878099, Average Loss  0.869126, Time  0.444738
2021-09-25 15:47:21.824990 : Epoch  8, Batch    878, Loss  0.872410, Average Loss  0.869119, Time  0.444230
2021-09-25 15:47:27.875962 : Epoch  8, Batch    879, Loss  0.877555, Average Loss  0.869105, Time  0.447057
2021-09-25 15:47:33.954853 : Epoch  8, Batch    880, Loss  0.855703, Average Loss  0.869057, Time  0.445670
2021-09-25 15:47:40.046774 : Epoch  8, Batch    881, Loss  0.867542, Average Loss  0.869072, Time  0.445228
2021-09-25 15:47:46.139138 : Epoch  8, Batch    882, Loss  0.873428, Average Loss  0.869085, Time  0.458793
2021-09-25 15:47:52.222241 : Epoch  8, Batch    883, Loss  0.869768, Average Loss  0.869070, Time  0.458904
2021-09-25 15:47:58.335348 : Epoch  8, Batch    884, Loss  0.853986, Average Loss  0.869042, Time  0.444339
2021-09-25 15:48:04.442532 : Epoch  8, Batch    885, Loss  0.871721, Average Loss  0.869079, Time  0.454979
2021-09-25 15:48:10.508969 : Epoch  8, Batch    886, Loss  0.873415, Average Loss  0.869090, Time  0.444287
2021-09-25 15:48:16.601954 : Epoch  8, Batch    887, Loss  0.868397, Average Loss  0.869154, Time  0.445181
2021-09-25 15:48:22.687506 : Epoch  8, Batch    888, Loss  0.880724, Average Loss  0.869195, Time  0.445589
2021-09-25 15:48:28.748786 : Epoch  8, Batch    889, Loss  0.855965, Average Loss  0.869063, Time  0.444790
2021-09-25 15:48:34.847621 : Epoch  8, Batch    890, Loss  0.885185, Average Loss  0.869222, Time  0.456876
2021-09-25 15:48:40.920543 : Epoch  8, Batch    891, Loss  0.865796, Average Loss  0.869196, Time  0.445598
2021-09-25 15:48:46.972886 : Epoch  8, Batch    892, Loss  0.873611, Average Loss  0.869130, Time  0.444348
2021-09-25 15:48:53.070830 : Epoch  8, Batch    893, Loss  0.887681, Average Loss  0.869217, Time  0.445119
2021-09-25 15:48:59.136688 : Epoch  8, Batch    894, Loss  0.874372, Average Loss  0.869271, Time  0.444989
2021-09-25 15:49:05.241019 : Epoch  8, Batch    895, Loss  0.861924, Average Loss  0.869329, Time  0.449459
2021-09-25 15:49:11.321867 : Epoch  8, Batch    896, Loss  0.873380, Average Loss  0.869407, Time  0.449118
2021-09-25 15:49:17.360300 : Epoch  8, Batch    897, Loss  0.888715, Average Loss  0.869479, Time  0.459867
2021-09-25 15:49:23.257189 : Epoch  8, Batch    898, Loss  0.888565, Average Loss  0.869565, Time  0.442782
2021-09-25 15:49:29.008894 : Epoch  8, Batch    899, Loss  0.869617, Average Loss  0.869538, Time  0.442293
2021-09-25 15:49:34.760777 : Epoch  8, Batch    900, Loss  0.875251, Average Loss  0.869554, Time  0.444434
2021-09-25 15:49:40.563705 : Epoch  8, Batch    901, Loss  0.876761, Average Loss  0.869570, Time  0.442594
2021-09-25 15:49:46.320706 : Epoch  8, Batch    902, Loss  0.876098, Average Loss  0.869590, Time  0.441390
2021-09-25 15:49:52.076088 : Epoch  8, Batch    903, Loss  0.876405, Average Loss  0.869664, Time  0.444506
2021-09-25 15:49:57.877459 : Epoch  8, Batch    904, Loss  0.862234, Average Loss  0.869599, Time  0.443698
2021-09-25 15:50:05.565429 : CheckPoint: Validation Loss  0.00014760, Best Loss  0.00014760
2021-09-25 15:50:05.595269 : Best Model Updated
2021-09-25 15:50:12.201250 : Epoch  9, Batch    277, Loss  0.871435, Average Loss  0.870165, Time  0.444029
2021-09-25 15:50:17.952827 : Epoch  9, Batch    278, Loss  0.880818, Average Loss  0.870200, Time  0.443973
2021-09-25 15:50:23.749372 : Epoch  9, Batch    279, Loss  0.874142, Average Loss  0.870149, Time  0.454796
2021-09-25 15:50:29.534893 : Epoch  9, Batch    280, Loss  0.878403, Average Loss  0.870103, Time  0.442486
2021-09-25 15:50:35.327311 : Epoch  9, Batch    281, Loss  0.859768, Average Loss  0.870033, Time  0.443499
2021-09-25 15:50:41.055960 : Epoch  9, Batch    282, Loss  0.871209, Average Loss  0.870059, Time  0.442089
2021-09-25 15:50:46.853214 : Epoch  9, Batch    283, Loss  0.867770, Average Loss  0.870108, Time  0.444360
2021-09-25 15:50:52.693912 : Epoch  9, Batch    284, Loss  0.861753, Average Loss  0.870097, Time  0.445348
2021-09-25 15:50:58.539371 : Epoch  9, Batch    285, Loss  0.850542, Average Loss  0.869969, Time  0.443680
2021-09-25 15:51:04.421535 : Epoch  9, Batch    286, Loss  0.869009, Average Loss  0.869988, Time  0.444846
2021-09-25 15:51:10.253602 : Epoch  9, Batch    287, Loss  0.877322, Average Loss  0.870052, Time  0.452419
2021-09-25 15:51:15.984864 : Epoch  9, Batch    288, Loss  0.868700, Average Loss  0.869999, Time  0.444419
2021-09-25 15:51:21.728921 : Epoch  9, Batch    289, Loss  0.880328, Average Loss  0.870117, Time  0.444415
2021-09-25 15:51:27.492976 : Epoch  9, Batch    290, Loss  0.873632, Average Loss  0.870091, Time  0.444504
2021-09-25 15:51:33.250200 : Epoch  9, Batch    291, Loss  0.858434, Average Loss  0.869953, Time  0.444233
2021-09-25 15:51:38.978854 : Epoch  9, Batch    292, Loss  0.866737, Average Loss  0.869932, Time  0.442764
2021-09-25 15:51:44.757629 : Epoch  9, Batch    293, Loss  0.854281, Average Loss  0.869872, Time  0.442966
2021-09-25 15:51:50.562925 : Epoch  9, Batch    294, Loss  0.858991, Average Loss  0.869783, Time  0.443058
2021-09-25 15:51:56.321872 : Epoch  9, Batch    295, Loss  0.874189, Average Loss  0.869799, Time  0.457742
2021-09-25 15:52:02.133480 : Epoch  9, Batch    296, Loss  0.872535, Average Loss  0.869852, Time  0.442280
2021-09-25 15:52:07.917456 : Epoch  9, Batch    297, Loss  0.873255, Average Loss  0.869777, Time  0.443958
2021-09-25 15:52:13.662631 : Epoch  9, Batch    298, Loss  0.872249, Average Loss  0.869727, Time  0.442526
2021-09-25 15:52:19.387343 : Epoch  9, Batch    299, Loss  0.870819, Average Loss  0.869791, Time  0.443161
2021-09-25 15:52:25.085754 : Epoch  9, Batch    300, Loss  0.864255, Average Loss  0.869742, Time  0.442920
2021-09-25 15:52:30.817842 : Epoch  9, Batch    301, Loss  0.871218, Average Loss  0.869789, Time  0.443099
2021-09-25 15:52:36.598039 : Epoch  9, Batch    302, Loss  0.872502, Average Loss  0.869813, Time  0.443354
2021-09-25 15:52:42.323944 : Epoch  9, Batch    303, Loss  0.859322, Average Loss  0.869725, Time  0.458443
2021-09-25 15:52:48.050352 : Epoch  9, Batch    304, Loss  0.868306, Average Loss  0.869737, Time  0.445326
2021-09-25 15:52:53.849219 : Epoch  9, Batch    305, Loss  0.867382, Average Loss  0.869711, Time  0.442703
2021-09-25 15:52:59.744517 : Epoch  9, Batch    306, Loss  0.857452, Average Loss  0.869612, Time  0.442643
2021-09-25 15:53:05.474089 : Epoch  9, Batch    307, Loss  0.875158, Average Loss  0.869742, Time  0.443515
2021-09-25 15:53:11.327982 : Epoch  9, Batch    308, Loss  0.872130, Average Loss  0.869682, Time  0.444029
2021-09-25 15:53:17.095847 : Epoch  9, Batch    309, Loss  0.866717, Average Loss  0.869616, Time  0.443098
2021-09-25 15:53:22.898924 : Epoch  9, Batch    310, Loss  0.876467, Average Loss  0.869654, Time  0.445321
2021-09-25 15:53:28.850130 : Epoch  9, Batch    311, Loss  0.870384, Average Loss  0.869683, Time  0.461375
2021-09-25 15:53:34.697808 : Epoch  9, Batch    312, Loss  0.883060, Average Loss  0.869704, Time  0.444506
2021-09-25 15:53:40.496271 : Epoch  9, Batch    313, Loss  0.863539, Average Loss  0.869724, Time  0.443567
2021-09-25 15:53:46.248636 : Epoch  9, Batch    314, Loss  0.876991, Average Loss  0.869736, Time  0.443730
2021-09-25 15:53:51.985249 : Epoch  9, Batch    315, Loss  0.873267, Average Loss  0.869744, Time  0.445530
2021-09-25 15:53:57.800487 : Epoch  9, Batch    316, Loss  0.866199, Average Loss  0.869801, Time  0.446055
2021-09-25 15:54:03.633142 : Epoch  9, Batch    317, Loss  0.860302, Average Loss  0.869674, Time  0.445616
2021-09-25 15:54:09.503760 : Epoch  9, Batch    318, Loss  0.861879, Average Loss  0.869674, Time  0.445242
2021-09-25 15:54:15.440953 : Epoch  9, Batch    319, Loss  0.874479, Average Loss  0.869710, Time  0.453171
2021-09-25 15:54:21.286802 : Epoch  9, Batch    320, Loss  0.870341, Average Loss  0.869743, Time  0.445755
2021-09-25 15:54:27.200834 : Epoch  9, Batch    321, Loss  0.857195, Average Loss  0.869724, Time  0.443830
2021-09-25 15:54:29.233783 : CheckPoint: Validation Loss  0.00015341, Best Loss  0.00014737
2021-09-25 15:54:32.959094 : Epoch  9, Batch    322, Loss  0.861076, Average Loss  0.869778, Time  0.443920
2021-09-25 15:54:35.039409 : Epoch  8, Batch    905, Loss  0.876590, Average Loss  0.869643, Time  0.444011
2021-09-25 15:54:38.857433 : Epoch  9, Batch    323, Loss  0.878420, Average Loss  0.869762, Time  0.447127
2021-09-25 15:54:40.957454 : Epoch  8, Batch    906, Loss  0.873670, Average Loss  0.869795, Time  0.442462
2021-09-25 15:54:44.673134 : Epoch  9, Batch    324, Loss  0.863599, Average Loss  0.869708, Time  0.444088
2021-09-25 15:54:46.814633 : Epoch  8, Batch    907, Loss  0.862341, Average Loss  0.869738, Time  0.442527
2021-09-25 15:54:50.456518 : Epoch  9, Batch    325, Loss  0.871286, Average Loss  0.869708, Time  0.444242
2021-09-25 15:54:52.688658 : Epoch  8, Batch    908, Loss  0.874374, Average Loss  0.869822, Time  0.455868
2021-09-25 15:54:56.343227 : Epoch  9, Batch    326, Loss  0.856536, Average Loss  0.869627, Time  0.447495
2021-09-25 15:54:58.662270 : Epoch  8, Batch    909, Loss  0.860043, Average Loss  0.869759, Time  0.446413
2021-09-25 15:55:02.231832 : Epoch  9, Batch    327, Loss  0.879348, Average Loss  0.869661, Time  0.452320
2021-09-25 15:55:04.609088 : Epoch  8, Batch    910, Loss  0.872489, Average Loss  0.869778, Time  0.444150
2021-09-25 15:55:08.046883 : Epoch  9, Batch    328, Loss  0.862984, Average Loss  0.869624, Time  0.445723
2021-09-25 15:55:10.530269 : Epoch  8, Batch    911, Loss  0.872543, Average Loss  0.869740, Time  0.446819
2021-09-25 15:55:13.936868 : Epoch  9, Batch    329, Loss  0.866514, Average Loss  0.869697, Time  0.443032
2021-09-25 15:55:17.007412 : Epoch  8, Batch    912, Loss  0.869711, Average Loss  0.869800, Time  0.446384
2021-09-25 15:55:19.945933 : Epoch  9, Batch    330, Loss  0.855064, Average Loss  0.869576, Time  0.442469
2021-09-25 15:55:45.866490 : Epoch  8, Batch    913, Loss  0.879385, Average Loss  0.869948, Time  0.441037
2021-09-25 15:55:51.641938 : Epoch  9, Batch    331, Loss  0.870699, Average Loss  0.869619, Time  0.457133
2021-09-25 15:55:51.728345 : Epoch  8, Batch    914, Loss  0.872267, Average Loss  0.869960, Time  0.451239
2021-09-25 15:55:57.446456 : Epoch  9, Batch    332, Loss  0.860816, Average Loss  0.869559, Time  0.445573
2021-09-25 15:55:57.580102 : Epoch  8, Batch    915, Loss  0.855595, Average Loss  0.869868, Time  0.445371
2021-09-25 15:56:03.231847 : Epoch  9, Batch    333, Loss  0.860193, Average Loss  0.869493, Time  0.445463
2021-09-25 15:56:03.409932 : Epoch  8, Batch    916, Loss  0.876515, Average Loss  0.869936, Time  0.444735
2021-09-25 15:56:09.062074 : Epoch  9, Batch    334, Loss  0.869757, Average Loss  0.869537, Time  0.445022
2021-09-25 15:56:09.364813 : Epoch  8, Batch    917, Loss  0.868804, Average Loss  0.869906, Time  0.473738
2021-09-25 15:56:14.999349 : Epoch  9, Batch    335, Loss  0.877637, Average Loss  0.869490, Time  0.446570
2021-09-25 15:56:15.362895 : Epoch  8, Batch    918, Loss  0.870814, Average Loss  0.869907, Time  0.445882
2021-09-25 15:56:20.851959 : Epoch  9, Batch    336, Loss  0.865901, Average Loss  0.869442, Time  0.443765
2021-09-25 15:56:21.252528 : Epoch  8, Batch    919, Loss  0.855067, Average Loss  0.869808, Time  0.443479
2021-09-25 15:56:26.723765 : Epoch  9, Batch    337, Loss  0.870304, Average Loss  0.869480, Time  0.444392
2021-09-25 15:56:27.162021 : Epoch  8, Batch    920, Loss  0.866092, Average Loss  0.869854, Time  0.451509
2021-09-25 15:56:32.582534 : Epoch  9, Batch    338, Loss  0.877870, Average Loss  0.869522, Time  0.456276
2021-09-25 15:56:33.072563 : Epoch  8, Batch    921, Loss  0.873484, Average Loss  0.869855, Time  0.444849
2021-09-25 15:56:38.460730 : Epoch  9, Batch    339, Loss  0.872556, Average Loss  0.869539, Time  0.444205
2021-09-25 15:56:38.998382 : Epoch  8, Batch    922, Loss  0.876654, Average Loss  0.869900, Time  0.444275
2021-09-25 15:56:44.376181 : Epoch  9, Batch    340, Loss  0.874081, Average Loss  0.869490, Time  0.445446
2021-09-25 15:56:44.970078 : Epoch  8, Batch    923, Loss  0.868799, Average Loss  0.869822, Time  0.444413
2021-09-25 15:56:50.259548 : Epoch  9, Batch    341, Loss  0.872285, Average Loss  0.869508, Time  0.444230
2021-09-25 15:56:50.881058 : Epoch  8, Batch    924, Loss  0.866295, Average Loss  0.869835, Time  0.443914
2021-09-25 15:56:56.038203 : Epoch  9, Batch    342, Loss  0.874275, Average Loss  0.869513, Time  0.445492
2021-09-25 15:56:56.715186 : Epoch  8, Batch    925, Loss  0.884835, Average Loss  0.869906, Time  0.445143
2021-09-25 15:57:01.832800 : Epoch  9, Batch    343, Loss  0.866559, Average Loss  0.869453, Time  0.444090
2021-09-25 15:57:02.547354 : Epoch  8, Batch    926, Loss  0.860631, Average Loss  0.869883, Time  0.445323
2021-09-25 15:57:07.761672 : Epoch  9, Batch    344, Loss  0.864585, Average Loss  0.869415, Time  0.449785
2021-09-25 15:57:08.537743 : Epoch  8, Batch    927, Loss  0.873682, Average Loss  0.870011, Time  0.445638
2021-09-25 15:57:13.772937 : Epoch  9, Batch    345, Loss  0.886498, Average Loss  0.869565, Time  0.446598
2021-09-25 15:57:14.599402 : Epoch  8, Batch    928, Loss  0.865818, Average Loss  0.870014, Time  0.453629
2021-09-25 15:57:14.630849 : Saving Model after 8-th Epoch.
2021-09-25 15:57:15.465184 : Epoch Finished.
2021-09-25 15:57:19.675203 : Epoch  9, Batch    346, Loss  0.869602, Average Loss  0.869588, Time  0.462147
2021-09-25 15:57:21.209579 : Batch Shuffled
2021-09-25 15:57:25.592533 : Epoch  9, Batch    347, Loss  0.855720, Average Loss  0.869508, Time  0.445011
2021-09-25 15:57:27.028280 : Epoch  9, Batch      1, Loss  0.884309, Average Loss  0.870019, Time  0.442364
2021-09-25 15:57:31.411295 : Epoch  9, Batch    348, Loss  0.873886, Average Loss  0.869554, Time  0.445750
2021-09-25 15:57:32.841781 : Epoch  9, Batch      2, Loss  0.872146, Average Loss  0.869990, Time  0.444032
2021-09-25 15:57:37.275513 : Epoch  9, Batch    349, Loss  0.854902, Average Loss  0.869399, Time  0.444919
2021-09-25 15:57:38.714937 : Epoch  9, Batch      3, Loss  0.859054, Average Loss  0.869948, Time  0.443638
2021-09-25 15:57:43.088661 : Epoch  9, Batch    350, Loss  0.878666, Average Loss  0.869458, Time  0.444600
2021-09-25 15:57:44.452809 : Epoch  9, Batch      4, Loss  0.871527, Average Loss  0.869888, Time  0.444013
2021-09-25 15:57:48.851447 : Epoch  9, Batch    351, Loss  0.861592, Average Loss  0.869421, Time  0.444382
2021-09-25 15:57:50.214157 : Epoch  9, Batch      5, Loss  0.861820, Average Loss  0.869961, Time  0.445044
2021-09-25 15:57:54.712183 : Epoch  9, Batch    352, Loss  0.841280, Average Loss  0.869291, Time  0.445347
2021-09-25 15:57:56.074197 : Epoch  9, Batch      6, Loss  0.859281, Average Loss  0.869918, Time  0.443400
2021-09-25 15:58:00.559253 : Epoch  9, Batch    353, Loss  0.873401, Average Loss  0.869342, Time  0.444303
2021-09-25 15:58:01.865435 : Epoch  9, Batch      7, Loss  0.868042, Average Loss  0.869875, Time  0.454127
2021-09-25 15:58:06.347927 : Epoch  9, Batch    354, Loss  0.864673, Average Loss  0.869319, Time  0.455002
2021-09-25 15:58:07.635667 : Epoch  9, Batch      8, Loss  0.868136, Average Loss  0.869817, Time  0.443688
2021-09-25 15:58:12.143905 : Epoch  9, Batch    355, Loss  0.874708, Average Loss  0.869328, Time  0.443542
2021-09-25 15:58:13.407421 : Epoch  9, Batch      9, Loss  0.856456, Average Loss  0.869721, Time  0.444215
2021-09-25 15:58:17.993523 : Epoch  9, Batch    356, Loss  0.859360, Average Loss  0.869301, Time  0.444289
2021-09-25 15:58:19.243336 : Epoch  9, Batch     10, Loss  0.874654, Average Loss  0.869693, Time  0.443287
2021-09-25 15:58:23.790411 : Epoch  9, Batch    357, Loss  0.871578, Average Loss  0.869294, Time  0.443990
2021-09-25 15:58:24.993994 : Epoch  9, Batch     11, Loss  0.861184, Average Loss  0.869665, Time  0.443611
2021-09-25 15:58:29.561268 : Epoch  9, Batch    358, Loss  0.879130, Average Loss  0.869294, Time  0.443225
2021-09-25 15:58:30.761522 : Epoch  9, Batch     12, Loss  0.860989, Average Loss  0.869607, Time  0.442999
2021-09-25 15:58:35.354974 : Epoch  9, Batch    359, Loss  0.866622, Average Loss  0.869240, Time  0.443608
2021-09-25 15:58:36.550030 : Epoch  9, Batch     13, Loss  0.877033, Average Loss  0.869676, Time  0.443996
2021-09-25 15:58:41.114864 : Epoch  9, Batch    360, Loss  0.864023, Average Loss  0.869211, Time  0.443824
2021-09-25 15:58:42.292862 : Epoch  9, Batch     14, Loss  0.866194, Average Loss  0.869602, Time  0.442888
2021-09-25 15:58:46.882363 : Epoch  9, Batch    361, Loss  0.883438, Average Loss  0.869282, Time  0.442880
2021-09-25 15:58:48.054618 : Epoch  9, Batch     15, Loss  0.865868, Average Loss  0.869586, Time  0.450125
2021-09-25 15:58:52.690201 : Epoch  9, Batch    362, Loss  0.866267, Average Loss  0.869274, Time  0.452278
2021-09-25 15:58:53.847715 : Epoch  9, Batch     16, Loss  0.875735, Average Loss  0.869643, Time  0.445187
2021-09-25 15:58:58.482773 : Epoch  9, Batch    363, Loss  0.866290, Average Loss  0.869238, Time  0.443799
2021-09-25 15:58:59.638288 : Epoch  9, Batch     17, Loss  0.879558, Average Loss  0.869582, Time  0.443221
2021-09-25 15:59:04.244144 : Epoch  9, Batch    364, Loss  0.883426, Average Loss  0.869257, Time  0.444231
2021-09-25 15:59:05.397497 : Epoch  9, Batch     18, Loss  0.868549, Average Loss  0.869585, Time  0.443055
2021-09-25 15:59:10.026883 : Epoch  9, Batch    365, Loss  0.862283, Average Loss  0.869247, Time  0.446443
2021-09-25 15:59:11.208881 : Epoch  9, Batch     19, Loss  0.876258, Average Loss  0.869590, Time  0.445394
2021-09-25 15:59:15.859825 : Epoch  9, Batch    366, Loss  0.870237, Average Loss  0.869241, Time  0.443544
2021-09-25 15:59:17.012638 : Epoch  9, Batch     20, Loss  0.872414, Average Loss  0.869580, Time  0.442464
2021-09-25 15:59:21.561292 : Epoch  9, Batch    367, Loss  0.867501, Average Loss  0.869202, Time  0.442615
2021-09-25 15:59:22.689932 : Epoch  9, Batch     21, Loss  0.876123, Average Loss  0.869597, Time  0.441733
2021-09-25 15:59:27.314817 : Epoch  9, Batch    368, Loss  0.881057, Average Loss  0.869285, Time  0.443166
2021-09-25 15:59:28.465710 : Epoch  9, Batch     22, Loss  0.869532, Average Loss  0.869565, Time  0.444320
2021-09-25 15:59:33.174364 : Epoch  9, Batch    369, Loss  0.867118, Average Loss  0.869268, Time  0.443229
2021-09-25 15:59:34.295569 : Epoch  9, Batch     23, Loss  0.860618, Average Loss  0.869582, Time  0.453815
2021-09-25 15:59:39.031199 : Epoch  9, Batch    370, Loss  0.873455, Average Loss  0.869187, Time  0.460161
2021-09-25 15:59:40.125845 : Epoch  9, Batch     24, Loss  0.878643, Average Loss  0.869658, Time  0.443778
2021-09-25 15:59:44.828573 : Epoch  9, Batch    371, Loss  0.877551, Average Loss  0.869239, Time  0.444196
2021-09-25 15:59:45.924709 : Epoch  9, Batch     25, Loss  0.878141, Average Loss  0.869716, Time  0.442759
2021-09-25 15:59:50.549428 : Epoch  9, Batch    372, Loss  0.874364, Average Loss  0.869307, Time  0.445011
2021-09-25 15:59:51.686155 : Epoch  9, Batch     26, Loss  0.871758, Average Loss  0.869679, Time  0.444273
2021-09-25 15:59:56.346672 : Epoch  9, Batch    373, Loss  0.853694, Average Loss  0.869252, Time  0.443794
2021-09-25 15:59:57.449748 : Epoch  9, Batch     27, Loss  0.865819, Average Loss  0.869644, Time  0.442757
2021-09-25 16:00:02.160701 : Epoch  9, Batch    374, Loss  0.863843, Average Loss  0.869208, Time  0.445152
2021-09-25 16:00:03.269416 : Epoch  9, Batch     28, Loss  0.870241, Average Loss  0.869616, Time  0.444496
2021-09-25 16:00:08.001261 : Epoch  9, Batch    375, Loss  0.865069, Average Loss  0.869180, Time  0.443690
2021-09-25 16:00:09.034766 : Epoch  9, Batch     29, Loss  0.863095, Average Loss  0.869666, Time  0.443258
2021-09-25 16:00:13.791476 : Epoch  9, Batch    376, Loss  0.860914, Average Loss  0.869116, Time  0.442947
2021-09-25 16:00:14.790890 : Epoch  9, Batch     30, Loss  0.857297, Average Loss  0.869661, Time  0.447114
2021-09-25 16:00:20.594620 : Epoch  9, Batch     31, Loss  0.871978, Average Loss  0.869650, Time  0.454790
2021-09-25 16:00:26.378442 : Epoch  9, Batch     32, Loss  0.860182, Average Loss  0.869640, Time  0.442834
2021-09-25 16:00:32.145954 : Epoch  9, Batch     33, Loss  0.882178, Average Loss  0.869758, Time  0.442738
2021-09-25 16:00:37.872691 : Epoch  9, Batch     34, Loss  0.876382, Average Loss  0.869781, Time  0.442747
2021-09-25 16:00:43.654435 : Epoch  9, Batch     35, Loss  0.870327, Average Loss  0.869821, Time  0.445137
2021-09-25 16:00:49.452382 : Epoch  9, Batch     36, Loss  0.872057, Average Loss  0.869864, Time  0.443830
2021-09-25 16:00:55.245443 : Epoch  9, Batch     37, Loss  0.865574, Average Loss  0.869945, Time  0.443369
2021-09-25 16:01:00.985941 : Epoch  9, Batch     38, Loss  0.874004, Average Loss  0.870022, Time  0.442134
2021-09-25 16:01:06.742011 : Epoch  9, Batch     39, Loss  0.861682, Average Loss  0.870039, Time  0.451884
2021-09-25 16:01:12.647300 : Epoch  9, Batch     40, Loss  0.868662, Average Loss  0.870058, Time  0.444868
2021-09-25 16:01:18.603802 : Epoch  9, Batch     41, Loss  0.876323, Average Loss  0.870055, Time  0.449389
2021-09-25 16:01:24.470186 : Epoch  9, Batch     42, Loss  0.877531, Average Loss  0.870133, Time  0.446433
2021-09-25 16:01:30.272180 : Epoch  9, Batch     43, Loss  0.864962, Average Loss  0.870153, Time  0.444533
2021-09-25 16:01:36.079438 : Epoch  9, Batch     44, Loss  0.876492, Average Loss  0.870199, Time  0.444102
2021-09-25 16:01:41.844332 : Epoch  9, Batch     45, Loss  0.874190, Average Loss  0.870222, Time  0.443595
2021-09-25 16:01:47.747839 : Epoch  9, Batch     46, Loss  0.888265, Average Loss  0.870257, Time  0.444496
2021-09-25 16:01:53.569124 : Epoch  9, Batch     47, Loss  0.882367, Average Loss  0.870417, Time  0.460572
2021-09-25 16:01:59.365607 : Epoch  9, Batch     48, Loss  0.873305, Average Loss  0.870428, Time  0.443312
2021-09-25 16:02:05.199123 : Epoch  9, Batch     49, Loss  0.863904, Average Loss  0.870312, Time  0.444490
2021-09-25 16:02:11.036036 : Epoch  9, Batch     50, Loss  0.871529, Average Loss  0.870379, Time  0.442740
2021-09-25 16:02:16.874516 : Epoch  9, Batch     51, Loss  0.861888, Average Loss  0.870324, Time  0.445343
2021-09-25 16:02:22.676120 : Epoch  9, Batch     52, Loss  0.880818, Average Loss  0.870347, Time  0.442953
2021-09-25 16:02:28.602940 : Epoch  9, Batch     53, Loss  0.874297, Average Loss  0.870266, Time  0.443713
2021-09-25 16:02:34.419890 : Epoch  9, Batch     54, Loss  0.875185, Average Loss  0.870378, Time  0.443046
2021-09-25 16:02:40.275177 : Epoch  9, Batch     55, Loss  0.869037, Average Loss  0.870412, Time  0.455392
2021-09-25 16:02:46.127114 : Epoch  9, Batch     56, Loss  0.872965, Average Loss  0.870350, Time  0.445041
2021-09-25 16:02:51.906964 : Epoch  9, Batch     57, Loss  0.875833, Average Loss  0.870367, Time  0.444303
2021-09-25 16:02:57.648615 : Epoch  9, Batch     58, Loss  0.866338, Average Loss  0.870324, Time  0.443729
2021-09-25 16:03:03.446759 : Epoch  9, Batch     59, Loss  0.875880, Average Loss  0.870341, Time  0.444418
2021-09-25 16:03:09.183382 : Epoch  9, Batch     60, Loss  0.885229, Average Loss  0.870400, Time  0.443723
2021-09-25 16:03:14.954218 : Epoch  9, Batch     61, Loss  0.877521, Average Loss  0.870383, Time  0.443231
2021-09-25 16:03:20.723053 : Epoch  9, Batch     62, Loss  0.868004, Average Loss  0.870337, Time  0.443828
2021-09-25 16:03:26.451467 : Epoch  9, Batch     63, Loss  0.867998, Average Loss  0.870327, Time  0.451609
2021-09-25 16:03:32.218935 : Epoch  9, Batch     64, Loss  0.877750, Average Loss  0.870344, Time  0.443662
2021-09-25 16:03:38.016539 : Epoch  9, Batch     65, Loss  0.868945, Average Loss  0.870379, Time  0.444757
2021-09-25 16:03:43.893649 : Epoch  9, Batch     66, Loss  0.873806, Average Loss  0.870385, Time  0.445287
2021-09-25 16:03:49.611226 : Epoch  9, Batch     67, Loss  0.881104, Average Loss  0.870534, Time  0.444045
2021-09-25 16:03:55.398179 : Epoch  9, Batch     68, Loss  0.862309, Average Loss  0.870470, Time  0.443210
2021-09-25 16:04:01.145458 : Epoch  9, Batch     69, Loss  0.883439, Average Loss  0.870658, Time  0.442482
2021-09-25 16:04:06.950006 : Epoch  9, Batch     70, Loss  0.877469, Average Loss  0.870701, Time  0.443993
2021-09-25 16:04:12.749827 : Epoch  9, Batch     71, Loss  0.877905, Average Loss  0.870810, Time  0.451535
2021-09-25 16:04:18.580074 : Epoch  9, Batch     72, Loss  0.869061, Average Loss  0.870810, Time  0.444202
2021-09-25 16:04:24.365298 : Epoch  9, Batch     73, Loss  0.867279, Average Loss  0.870837, Time  0.442844
2021-09-25 16:04:30.095821 : Epoch  9, Batch     74, Loss  0.889047, Average Loss  0.870929, Time  0.442571
2021-09-25 16:04:35.904447 : Epoch  9, Batch     75, Loss  0.871713, Average Loss  0.870947, Time  0.443595
2021-09-25 16:04:41.700928 : Epoch  9, Batch     76, Loss  0.876548, Average Loss  0.870971, Time  0.445543
2021-09-25 16:04:46.000491 : CheckPoint: Validation Loss  0.00015222, Best Loss  0.00014760
2021-09-25 16:04:51.770818 : Epoch  9, Batch    377, Loss  0.870505, Average Loss  0.869062, Time  0.444010
2021-09-25 16:04:57.645918 : Epoch  9, Batch    378, Loss  0.864252, Average Loss  0.869037, Time  0.444722
2021-09-25 16:05:03.499164 : Epoch  9, Batch    379, Loss  0.867782, Average Loss  0.869028, Time  0.458139
2021-09-25 16:05:09.263505 : Epoch  9, Batch    380, Loss  0.875130, Average Loss  0.869079, Time  0.445563
2021-09-25 16:05:15.053211 : Epoch  9, Batch    381, Loss  0.880993, Average Loss  0.869164, Time  0.445035
2021-09-25 16:05:20.814859 : Epoch  9, Batch    382, Loss  0.873588, Average Loss  0.869260, Time  0.444247
2021-09-25 16:05:26.554402 : Epoch  9, Batch    383, Loss  0.879804, Average Loss  0.869301, Time  0.446709
2021-09-25 16:05:32.319485 : Epoch  9, Batch    384, Loss  0.865453, Average Loss  0.869248, Time  0.445217
2021-09-25 16:05:38.136635 : Epoch  9, Batch    385, Loss  0.858539, Average Loss  0.869154, Time  0.442791
2021-09-25 16:05:43.863917 : Epoch  9, Batch    386, Loss  0.867351, Average Loss  0.869139, Time  0.443218
2021-09-25 16:05:49.629642 : Epoch  9, Batch    387, Loss  0.866088, Average Loss  0.869097, Time  0.456117
2021-09-25 16:05:55.404914 : Epoch  9, Batch    388, Loss  0.864553, Average Loss  0.869018, Time  0.443450
2021-09-25 16:06:01.190600 : Epoch  9, Batch    389, Loss  0.868279, Average Loss  0.869094, Time  0.443742
2021-09-25 16:06:06.941271 : Epoch  9, Batch    390, Loss  0.871715, Average Loss  0.869063, Time  0.444265
2021-09-25 16:06:12.772002 : Epoch  9, Batch    391, Loss  0.855410, Average Loss  0.869057, Time  0.442953
2021-09-25 16:06:18.554525 : Epoch  9, Batch    392, Loss  0.883729, Average Loss  0.869051, Time  0.443525
2021-09-25 16:06:24.327381 : Epoch  9, Batch    393, Loss  0.873543, Average Loss  0.869077, Time  0.443900
2021-09-25 16:06:30.078082 : Epoch  9, Batch    394, Loss  0.876945, Average Loss  0.869117, Time  0.443342
2021-09-25 16:06:35.878326 : Epoch  9, Batch    395, Loss  0.882358, Average Loss  0.869130, Time  0.458576
2021-09-25 16:06:41.617429 : Epoch  9, Batch    396, Loss  0.875008, Average Loss  0.869148, Time  0.443656
2021-09-25 16:06:47.398781 : Epoch  9, Batch    397, Loss  0.867634, Average Loss  0.869135, Time  0.443896
2021-09-25 16:06:53.173429 : Epoch  9, Batch    398, Loss  0.859676, Average Loss  0.869090, Time  0.445126
2021-09-25 16:06:58.937894 : Epoch  9, Batch    399, Loss  0.860632, Average Loss  0.869010, Time  0.444201
2021-09-25 16:07:04.668001 : Epoch  9, Batch    400, Loss  0.867752, Average Loss  0.868965, Time  0.444199
2021-09-25 16:07:10.385885 : Epoch  9, Batch    401, Loss  0.879811, Average Loss  0.868988, Time  0.443847
2021-09-25 16:07:16.203992 : Epoch  9, Batch    402, Loss  0.859630, Average Loss  0.869036, Time  0.443655
2021-09-25 16:07:22.041169 : Epoch  9, Batch    403, Loss  0.873988, Average Loss  0.869066, Time  0.457258
2021-09-25 16:07:27.885061 : Epoch  9, Batch    404, Loss  0.861413, Average Loss  0.868988, Time  0.444809
2021-09-25 16:07:33.664064 : Epoch  9, Batch    405, Loss  0.873471, Average Loss  0.868957, Time  0.443937
2021-09-25 16:07:39.405521 : Epoch  9, Batch    406, Loss  0.879913, Average Loss  0.869044, Time  0.442791
2021-09-25 16:07:45.123898 : Epoch  9, Batch    407, Loss  0.865960, Average Loss  0.869041, Time  0.443341
2021-09-25 16:07:50.895009 : Epoch  9, Batch    408, Loss  0.876396, Average Loss  0.869084, Time  0.443269
2021-09-25 16:07:56.690552 : Epoch  9, Batch    409, Loss  0.876597, Average Loss  0.869095, Time  0.443777
2021-09-25 16:08:02.486984 : Epoch  9, Batch    410, Loss  0.872675, Average Loss  0.869171, Time  0.445427
2021-09-25 16:08:08.314356 : Epoch  9, Batch    411, Loss  0.878964, Average Loss  0.869301, Time  0.456116
2021-09-25 16:08:14.096936 : Epoch  9, Batch    412, Loss  0.862344, Average Loss  0.869343, Time  0.443606
2021-09-25 16:08:19.871512 : Epoch  9, Batch    413, Loss  0.866828, Average Loss  0.869321, Time  0.446053
2021-09-25 16:08:25.670765 : Epoch  9, Batch    414, Loss  0.862048, Average Loss  0.869319, Time  0.444212
2021-09-25 16:08:31.436144 : Epoch  9, Batch    415, Loss  0.881200, Average Loss  0.869363, Time  0.445450
2021-09-25 16:08:37.154432 : Epoch  9, Batch    416, Loss  0.864884, Average Loss  0.869301, Time  0.442693
2021-09-25 16:08:42.959665 : Epoch  9, Batch    417, Loss  0.882929, Average Loss  0.869411, Time  0.445861
2021-09-25 16:08:48.937082 : Epoch  9, Batch    418, Loss  0.866635, Average Loss  0.869388, Time  0.476047
2021-09-25 16:08:55.943284 : Epoch  9, Batch    419, Loss  0.882884, Average Loss  0.869432, Time  0.511268
2021-09-25 16:09:01.854536 : Epoch  9, Batch    420, Loss  0.866071, Average Loss  0.869352, Time  0.519914
2021-09-25 16:09:08.131868 : Epoch  9, Batch    421, Loss  0.857745, Average Loss  0.869285, Time  0.448142
2021-09-25 16:09:13.231945 : CheckPoint: Validation Loss  0.00015765, Best Loss  0.00014737
2021-09-25 16:09:14.038233 : Epoch  9, Batch    422, Loss  0.864872, Average Loss  0.869206, Time  0.447152
2021-09-25 16:09:18.967820 : Epoch  9, Batch     77, Loss  0.884134, Average Loss  0.871077, Time  0.443861
2021-09-25 16:09:20.161978 : Epoch  9, Batch    423, Loss  0.858845, Average Loss  0.869180, Time  0.447257
2021-09-25 16:09:24.832227 : Epoch  9, Batch     78, Loss  0.872776, Average Loss  0.871137, Time  0.444469
2021-09-25 16:09:26.263862 : Epoch  9, Batch    424, Loss  0.874310, Average Loss  0.869229, Time  0.448020
2021-09-25 16:09:30.681817 : Epoch  9, Batch     79, Loss  0.859414, Average Loss  0.871102, Time  0.443331
2021-09-25 16:09:32.370531 : Epoch  9, Batch    425, Loss  0.860427, Average Loss  0.869084, Time  0.502344
2021-09-25 16:09:36.566536 : Epoch  9, Batch     80, Loss  0.888243, Average Loss  0.871155, Time  0.459456
2021-09-25 16:09:38.184796 : Epoch  9, Batch    426, Loss  0.864897, Average Loss  0.869077, Time  0.458821
2021-09-25 16:09:42.506770 : Epoch  9, Batch     81, Loss  0.864251, Average Loss  0.871039, Time  0.443660
2021-09-25 16:09:44.441961 : Epoch  9, Batch    427, Loss  0.869273, Average Loss  0.869057, Time  0.542899
2021-09-25 16:09:48.371494 : Epoch  9, Batch     82, Loss  0.885755, Average Loss  0.871150, Time  0.441985
2021-09-25 16:09:50.602768 : Epoch  9, Batch    428, Loss  0.867584, Average Loss  0.869173, Time  0.445812
2021-09-25 16:09:54.179189 : Epoch  9, Batch     83, Loss  0.867307, Average Loss  0.871196, Time  0.443817
2021-09-25 16:09:56.607989 : Epoch  9, Batch    429, Loss  0.891164, Average Loss  0.869292, Time  0.445448
2021-09-25 16:09:59.953523 : Epoch  9, Batch     84, Loss  0.872744, Average Loss  0.871149, Time  0.445139
2021-09-25 16:10:02.579371 : Epoch  9, Batch    430, Loss  0.864006, Average Loss  0.869262, Time  0.443980
2021-09-25 16:10:05.720908 : Epoch  9, Batch     85, Loss  0.867435, Average Loss  0.871142, Time  0.443840
2021-09-25 16:10:08.511271 : Epoch  9, Batch    431, Loss  0.875397, Average Loss  0.869341, Time  0.445962
2021-09-25 16:10:11.578299 : Epoch  9, Batch     86, Loss  0.866800, Average Loss  0.871121, Time  0.449918
2021-09-25 16:10:14.716737 : Epoch  9, Batch    432, Loss  0.864864, Average Loss  0.869375, Time  0.446712
2021-09-25 16:10:17.394134 : Epoch  9, Batch     87, Loss  0.862840, Average Loss  0.871070, Time  0.446158
2021-09-25 16:10:20.501578 : Epoch  9, Batch    433, Loss  0.861528, Average Loss  0.869319, Time  0.443814
2021-09-25 16:10:23.324487 : Epoch  9, Batch     88, Loss  0.859653, Average Loss  0.871161, Time  0.460056
2021-09-25 16:10:26.289497 : Epoch  9, Batch    434, Loss  0.870912, Average Loss  0.869257, Time  0.454906
2021-09-25 16:10:29.099298 : Epoch  9, Batch     89, Loss  0.873884, Average Loss  0.871085, Time  0.441846
2021-09-25 16:10:32.302749 : Epoch  9, Batch    435, Loss  0.866045, Average Loss  0.869244, Time  0.445301
2021-09-25 16:10:34.880113 : Epoch  9, Batch     90, Loss  0.889302, Average Loss  0.871245, Time  0.442564
2021-09-25 16:10:38.337253 : Epoch  9, Batch    436, Loss  0.876522, Average Loss  0.869227, Time  0.447469
2021-09-25 16:10:40.504363 : Epoch  9, Batch     91, Loss  0.857513, Average Loss  0.871196, Time  0.443812
2021-09-25 16:10:44.387515 : Epoch  9, Batch    437, Loss  0.871176, Average Loss  0.869261, Time  0.445619
2021-09-25 16:10:46.230860 : Epoch  9, Batch     92, Loss  0.840425, Average Loss  0.871102, Time  0.444970
2021-09-25 16:10:50.307206 : Epoch  9, Batch    438, Loss  0.883101, Average Loss  0.869317, Time  0.446337
2021-09-25 16:10:52.000535 : Epoch  9, Batch     93, Loss  0.864329, Average Loss  0.871104, Time  0.443155
2021-09-25 16:10:56.263742 : Epoch  9, Batch    439, Loss  0.869362, Average Loss  0.869350, Time  0.446555
2021-09-25 16:10:57.769419 : Epoch  9, Batch     94, Loss  0.880583, Average Loss  0.871175, Time  0.445452
2021-09-25 16:11:02.134319 : Epoch  9, Batch    440, Loss  0.872814, Average Loss  0.869330, Time  0.444281
2021-09-25 16:11:03.620415 : Epoch  9, Batch     95, Loss  0.864156, Average Loss  0.871104, Time  0.441758
2021-09-25 16:11:08.151278 : Epoch  9, Batch    441, Loss  0.867436, Average Loss  0.869317, Time  0.458402
2021-09-25 16:11:09.256431 : Epoch  9, Batch     96, Loss  0.866838, Average Loss  0.871048, Time  0.442174
2021-09-25 16:11:14.151384 : Epoch  9, Batch    442, Loss  0.873094, Average Loss  0.869319, Time  0.443863
2021-09-25 16:11:14.992230 : Epoch  9, Batch     97, Loss  0.878173, Average Loss  0.871113, Time  0.457510
2021-09-25 16:11:20.027171 : Epoch  9, Batch    443, Loss  0.877556, Average Loss  0.869344, Time  0.446429
2021-09-25 16:11:20.729579 : Epoch  9, Batch     98, Loss  0.860053, Average Loss  0.870995, Time  0.442924
2021-09-25 16:11:24.261637 : Epoch  9, Batch    444, Loss  0.866545, Average Loss  0.869398, Time  0.344818
2021-09-25 16:11:26.659930 : Epoch  9, Batch     99, Loss  0.868664, Average Loss  0.871063, Time  0.445462
2021-09-25 16:11:29.992395 : Epoch  9, Batch    445, Loss  0.857872, Average Loss  0.869363, Time  0.444970
2021-09-25 16:11:32.506562 : Epoch  9, Batch    100, Loss  0.863780, Average Loss  0.870976, Time  0.442581
2021-09-25 16:11:35.908884 : Epoch  9, Batch    446, Loss  0.868144, Average Loss  0.869328, Time  0.444633
2021-09-25 16:11:38.237126 : Epoch  9, Batch    101, Loss  0.863819, Average Loss  0.870902, Time  0.443310
2021-09-25 16:11:41.816274 : Epoch  9, Batch    447, Loss  0.886592, Average Loss  0.869421, Time  0.471438
2021-09-25 16:11:44.006397 : Epoch  9, Batch    102, Loss  0.862721, Average Loss  0.870933, Time  0.441804
2021-09-25 16:11:47.950003 : Epoch  9, Batch    448, Loss  0.865166, Average Loss  0.869388, Time  0.470366
2021-09-25 16:11:49.709216 : Epoch  9, Batch    103, Loss  0.878848, Average Loss  0.871008, Time  0.444881
2021-09-25 16:11:53.892573 : Epoch  9, Batch    449, Loss  0.871065, Average Loss  0.869342, Time  0.460446
2021-09-25 16:11:55.507688 : Epoch  9, Batch    104, Loss  0.870126, Average Loss  0.871005, Time  0.443460
2021-09-25 16:12:00.023426 : Epoch  9, Batch    450, Loss  0.879751, Average Loss  0.869326, Time  0.467953
2021-09-25 16:12:01.252140 : Epoch  9, Batch    105, Loss  0.875562, Average Loss  0.870993, Time  0.459051
2021-09-25 16:12:05.858040 : Epoch  9, Batch    451, Loss  0.860312, Average Loss  0.869297, Time  0.443347
2021-09-25 16:12:07.065348 : Epoch  9, Batch    106, Loss  0.875708, Average Loss  0.871073, Time  0.445684
2021-09-25 16:12:11.693337 : Epoch  9, Batch    452, Loss  0.855559, Average Loss  0.869244, Time  0.450548
2021-09-25 16:12:12.842987 : Epoch  9, Batch    107, Loss  0.868378, Average Loss  0.871069, Time  0.445215
2021-09-25 16:12:17.618988 : Epoch  9, Batch    453, Loss  0.860218, Average Loss  0.869271, Time  0.468653
2021-09-25 16:12:18.742444 : Epoch  9, Batch    108, Loss  0.847983, Average Loss  0.870980, Time  0.443662
2021-09-25 16:12:23.610193 : Epoch  9, Batch    454, Loss  0.875736, Average Loss  0.869254, Time  0.471419
2021-09-25 16:12:24.524950 : Epoch  9, Batch    109, Loss  0.864136, Average Loss  0.870981, Time  0.443817
2021-09-25 16:12:29.482369 : Epoch  9, Batch    455, Loss  0.877342, Average Loss  0.869249, Time  0.446374
2021-09-25 16:12:30.296281 : Epoch  9, Batch    110, Loss  0.879185, Average Loss  0.871081, Time  0.444993
2021-09-25 16:12:35.321237 : Epoch  9, Batch    456, Loss  0.854616, Average Loss  0.869192, Time  0.466424
2021-09-25 16:12:36.132006 : Epoch  9, Batch    111, Loss  0.857585, Average Loss  0.870963, Time  0.445315
2021-09-25 16:12:41.397632 : Epoch  9, Batch    457, Loss  0.853781, Average Loss  0.869125, Time  0.483620
2021-09-25 16:12:41.845894 : Epoch  9, Batch    112, Loss  0.869000, Average Loss  0.870856, Time  0.444075
2021-09-25 16:12:47.260914 : Epoch  9, Batch    458, Loss  0.865704, Average Loss  0.869114, Time  0.445191
2021-09-25 16:12:47.606621 : Epoch  9, Batch    113, Loss  0.862409, Average Loss  0.870737, Time  0.453717
2021-09-25 16:12:53.066536 : Epoch  9, Batch    459, Loss  0.866939, Average Loss  0.869034, Time  0.445619
2021-09-25 16:12:53.413252 : Epoch  9, Batch    114, Loss  0.866347, Average Loss  0.870705, Time  0.442126
2021-09-25 16:12:58.924139 : Epoch  9, Batch    460, Loss  0.882036, Average Loss  0.869080, Time  0.445447
2021-09-25 16:12:59.197359 : Epoch  9, Batch    115, Loss  0.873037, Average Loss  0.870700, Time  0.445194
2021-09-25 16:13:04.659639 : Epoch  9, Batch    461, Loss  0.869743, Average Loss  0.869066, Time  0.446382
2021-09-25 16:13:05.038400 : Epoch  9, Batch    116, Loss  0.890068, Average Loss  0.870720, Time  0.444337
2021-09-25 16:13:10.486610 : Epoch  9, Batch    462, Loss  0.880452, Average Loss  0.869198, Time  0.444884
2021-09-25 16:13:10.883940 : Epoch  9, Batch    117, Loss  0.863208, Average Loss  0.870702, Time  0.445407
2021-09-25 16:13:16.257168 : Epoch  9, Batch    463, Loss  0.874323, Average Loss  0.869282, Time  0.444679
2021-09-25 16:13:16.755761 : Epoch  9, Batch    118, Loss  0.873699, Average Loss  0.870629, Time  0.444421
2021-09-25 16:13:22.320886 : Epoch  9, Batch    464, Loss  0.874212, Average Loss  0.869319, Time  0.447715
2021-09-25 16:13:22.462074 : Epoch  9, Batch    119, Loss  0.867422, Average Loss  0.870623, Time  0.443173
2021-09-25 16:13:28.043755 : Epoch  9, Batch    465, Loss  0.866959, Average Loss  0.869368, Time  0.455816
2021-09-25 16:13:28.390418 : Epoch  9, Batch    120, Loss  0.874649, Average Loss  0.870658, Time  0.445426
2021-09-25 16:13:33.705327 : Epoch  9, Batch    466, Loss  0.867286, Average Loss  0.869374, Time  0.443847
2021-09-25 16:13:34.353475 : Epoch  9, Batch    121, Loss  0.856988, Average Loss  0.870613, Time  0.457635
2021-09-25 16:13:39.357299 : Epoch  9, Batch    467, Loss  0.867318, Average Loss  0.869371, Time  0.443500
2021-09-25 16:13:40.301680 : Epoch  9, Batch    122, Loss  0.874938, Average Loss  0.870656, Time  0.443671
2021-09-25 16:13:45.346450 : Epoch  9, Batch    468, Loss  0.857058, Average Loss  0.869293, Time  0.472225
2021-09-25 16:13:46.114947 : Epoch  9, Batch    123, Loss  0.874113, Average Loss  0.870765, Time  0.443932
2021-09-25 16:13:51.261957 : Epoch  9, Batch    469, Loss  0.861269, Average Loss  0.869211, Time  0.446259
2021-09-25 16:13:51.878370 : Epoch  9, Batch    124, Loss  0.869285, Average Loss  0.870745, Time  0.442427
2021-09-25 16:13:57.073579 : Epoch  9, Batch    470, Loss  0.874560, Average Loss  0.869206, Time  0.443830
2021-09-25 16:13:57.718859 : Epoch  9, Batch    125, Loss  0.883471, Average Loss  0.870820, Time  0.443161
2021-09-25 16:14:02.878647 : Epoch  9, Batch    471, Loss  0.867215, Average Loss  0.869169, Time  0.443955
2021-09-25 16:14:03.583019 : Epoch  9, Batch    126, Loss  0.868403, Average Loss  0.870889, Time  0.444773
2021-09-25 16:14:08.627968 : Epoch  9, Batch    472, Loss  0.861135, Average Loss  0.869205, Time  0.444916
2021-09-25 16:14:09.459424 : Epoch  9, Batch    127, Loss  0.885550, Average Loss  0.870961, Time  0.443164
2021-09-25 16:14:14.479015 : Epoch  9, Batch    473, Loss  0.876105, Average Loss  0.869195, Time  0.458487
2021-09-25 16:14:15.287593 : Epoch  9, Batch    128, Loss  0.876068, Average Loss  0.870990, Time  0.442930
2021-09-25 16:14:20.555145 : Epoch  9, Batch    474, Loss  0.891643, Average Loss  0.869259, Time  0.469490
2021-09-25 16:14:21.088802 : Epoch  9, Batch    129, Loss  0.886435, Average Loss  0.871056, Time  0.456710
2021-09-25 16:14:26.574464 : Epoch  9, Batch    475, Loss  0.882399, Average Loss  0.869325, Time  0.468255
2021-09-25 16:14:26.919548 : Epoch  9, Batch    130, Loss  0.867984, Average Loss  0.871048, Time  0.444270
2021-09-25 16:14:32.466157 : Epoch  9, Batch    476, Loss  0.864561, Average Loss  0.869286, Time  0.470887
2021-09-25 16:14:32.827743 : Epoch  9, Batch    131, Loss  0.875644, Average Loss  0.871107, Time  0.444451
2021-09-25 16:14:38.761863 : Epoch  9, Batch    132, Loss  0.862924, Average Loss  0.871012, Time  0.452759
2021-09-25 16:14:44.519614 : Epoch  9, Batch    133, Loss  0.866388, Average Loss  0.871029, Time  0.444458
2021-09-25 16:14:50.379807 : Epoch  9, Batch    134, Loss  0.875814, Average Loss  0.871038, Time  0.444445
2021-09-25 16:14:56.237462 : Epoch  9, Batch    135, Loss  0.875044, Average Loss  0.871081, Time  0.445612
2021-09-25 16:15:02.227120 : Epoch  9, Batch    136, Loss  0.851703, Average Loss  0.870985, Time  0.445476
2021-09-25 16:15:08.119638 : Epoch  9, Batch    137, Loss  0.885050, Average Loss  0.871146, Time  0.458144
2021-09-25 16:15:14.079256 : Epoch  9, Batch    138, Loss  0.863556, Average Loss  0.871106, Time  0.443231
2021-09-25 16:15:19.924550 : Epoch  9, Batch    139, Loss  0.872039, Average Loss  0.871129, Time  0.444888
2021-09-25 16:15:25.744444 : Epoch  9, Batch    140, Loss  0.879078, Average Loss  0.871132, Time  0.445970
2021-09-25 16:15:31.686538 : Epoch  9, Batch    141, Loss  0.882151, Average Loss  0.871187, Time  0.443885
2021-09-25 16:15:37.864310 : Epoch  9, Batch    142, Loss  0.879938, Average Loss  0.871149, Time  0.444055
2021-09-25 16:15:43.909560 : Epoch  9, Batch    143, Loss  0.860480, Average Loss  0.871114, Time  0.443483
2021-09-25 16:15:49.948123 : Epoch  9, Batch    144, Loss  0.868998, Average Loss  0.871164, Time  0.443401
2021-09-25 16:15:56.018481 : Epoch  9, Batch    145, Loss  0.874443, Average Loss  0.871202, Time  0.457958
2021-09-25 16:16:02.096945 : Epoch  9, Batch    146, Loss  0.893280, Average Loss  0.871291, Time  0.444108
2021-09-25 16:16:08.194782 : Epoch  9, Batch    147, Loss  0.850541, Average Loss  0.871177, Time  0.469083
2021-09-25 16:16:14.287618 : Epoch  9, Batch    148, Loss  0.874406, Average Loss  0.871191, Time  0.443528
2021-09-25 16:16:20.317687 : Epoch  9, Batch    149, Loss  0.882705, Average Loss  0.871214, Time  0.444599
2021-09-25 16:16:26.345822 : Epoch  9, Batch    150, Loss  0.890781, Average Loss  0.871306, Time  0.443385
2021-09-25 16:16:32.435375 : Epoch  9, Batch    151, Loss  0.867938, Average Loss  0.871258, Time  0.443709
2021-09-25 16:16:38.504195 : Epoch  9, Batch    152, Loss  0.860994, Average Loss  0.871284, Time  0.460779
2021-09-25 16:16:44.378688 : Epoch  9, Batch    153, Loss  0.869737, Average Loss  0.871295, Time  0.443279
2021-09-25 16:16:50.283109 : Epoch  9, Batch    154, Loss  0.876258, Average Loss  0.871309, Time  0.442146
2021-09-25 16:16:55.960494 : Epoch  9, Batch    155, Loss  0.865058, Average Loss  0.871286, Time  0.440995
2021-09-25 16:17:01.686407 : Epoch  9, Batch    156, Loss  0.879167, Average Loss  0.871412, Time  0.441643
2021-09-25 16:17:07.582501 : Epoch  9, Batch    157, Loss  0.869037, Average Loss  0.871398, Time  0.442657
2021-09-25 16:17:13.264803 : Epoch  9, Batch    158, Loss  0.857988, Average Loss  0.871321, Time  0.443028
2021-09-25 16:17:18.983965 : Epoch  9, Batch    159, Loss  0.873990, Average Loss  0.871349, Time  0.443529
2021-09-25 16:17:24.678621 : Epoch  9, Batch    160, Loss  0.877354, Average Loss  0.871332, Time  0.441773
2021-09-25 16:17:30.238493 : Epoch  9, Batch    161, Loss  0.869896, Average Loss  0.871402, Time  0.450142
2021-09-25 16:17:35.777298 : Epoch  9, Batch    162, Loss  0.856891, Average Loss  0.871260, Time  0.441202
2021-09-25 16:17:41.373315 : Epoch  9, Batch    163, Loss  0.858469, Average Loss  0.871224, Time  0.443340
2021-09-25 16:17:47.232821 : Epoch  9, Batch    164, Loss  0.881188, Average Loss  0.871262, Time  0.445012
2021-09-25 16:17:53.004812 : Epoch  9, Batch    165, Loss  0.861171, Average Loss  0.871129, Time  0.442062
2021-09-25 16:17:58.793342 : Epoch  9, Batch    166, Loss  0.868389, Average Loss  0.871099, Time  0.442933
2021-09-25 16:18:04.482867 : Epoch  9, Batch    167, Loss  0.876616, Average Loss  0.871173, Time  0.441804
2021-09-25 16:18:10.045158 : Epoch  9, Batch    168, Loss  0.864840, Average Loss  0.871130, Time  0.441682
2021-09-25 16:18:15.664548 : Epoch  9, Batch    169, Loss  0.879327, Average Loss  0.871083, Time  0.456451
2021-09-25 16:18:21.348419 : Epoch  9, Batch    170, Loss  0.875522, Average Loss  0.871018, Time  0.443832
2021-09-25 16:18:27.075181 : Epoch  9, Batch    171, Loss  0.882222, Average Loss  0.871081, Time  0.440729
2021-09-25 16:18:32.786787 : Epoch  9, Batch    172, Loss  0.871387, Average Loss  0.871062, Time  0.442495
2021-09-25 16:18:38.512371 : Epoch  9, Batch    173, Loss  0.875126, Average Loss  0.871053, Time  0.440782
2021-09-25 16:18:44.200579 : Epoch  9, Batch    174, Loss  0.868120, Average Loss  0.871013, Time  0.466997
2021-09-25 16:18:50.005905 : Epoch  9, Batch    175, Loss  0.870953, Average Loss  0.870986, Time  0.444761
2021-09-25 16:18:56.085235 : Epoch  9, Batch    176, Loss  0.877718, Average Loss  0.871064, Time  0.446829
2021-09-25 16:19:05.474835 : CheckPoint: Validation Loss  0.00014749, Best Loss  0.00014749
2021-09-25 16:19:05.500640 : Best Model Updated
2021-09-25 16:19:12.446238 : Epoch  9, Batch    477, Loss  0.865418, Average Loss  0.869256, Time  0.446244
2021-09-25 16:19:18.472159 : Epoch  9, Batch    478, Loss  0.868693, Average Loss  0.869196, Time  0.446804
2021-09-25 16:19:24.494866 : Epoch  9, Batch    479, Loss  0.873769, Average Loss  0.869194, Time  0.445964
2021-09-25 16:19:30.525029 : Epoch  9, Batch    480, Loss  0.876345, Average Loss  0.869183, Time  0.446697
2021-09-25 16:19:36.602337 : Epoch  9, Batch    481, Loss  0.880487, Average Loss  0.869287, Time  0.455836
2021-09-25 16:19:42.645875 : Epoch  9, Batch    482, Loss  0.858907, Average Loss  0.869226, Time  0.446413
2021-09-25 16:19:48.714346 : Epoch  9, Batch    483, Loss  0.865018, Average Loss  0.869212, Time  0.469689
2021-09-25 16:19:54.751957 : Epoch  9, Batch    484, Loss  0.885717, Average Loss  0.869332, Time  0.447380
2021-09-25 16:20:00.837276 : Epoch  9, Batch    485, Loss  0.866980, Average Loss  0.869414, Time  0.444683
2021-09-25 16:20:06.880166 : Epoch  9, Batch    486, Loss  0.882443, Average Loss  0.869481, Time  0.444897
2021-09-25 16:20:12.967322 : Epoch  9, Batch    487, Loss  0.872959, Average Loss  0.869459, Time  0.447036
2021-09-25 16:20:19.056448 : Epoch  9, Batch    488, Loss  0.871418, Average Loss  0.869473, Time  0.449402
2021-09-25 16:20:25.257543 : Epoch  9, Batch    489, Loss  0.866906, Average Loss  0.869406, Time  0.481766
2021-09-25 16:20:31.329479 : Epoch  9, Batch    490, Loss  0.863349, Average Loss  0.869354, Time  0.446166
2021-09-25 16:20:37.400878 : Epoch  9, Batch    491, Loss  0.868605, Average Loss  0.869405, Time  0.449665
2021-09-25 16:20:43.446044 : Epoch  9, Batch    492, Loss  0.872660, Average Loss  0.869435, Time  0.444864
2021-09-25 16:20:49.484686 : Epoch  9, Batch    493, Loss  0.878355, Average Loss  0.869555, Time  0.445990
2021-09-25 16:20:55.577429 : Epoch  9, Batch    494, Loss  0.863678, Average Loss  0.869579, Time  0.445657
2021-09-25 16:21:01.672431 : Epoch  9, Batch    495, Loss  0.875975, Average Loss  0.869587, Time  0.450097
2021-09-25 16:21:07.738532 : Epoch  9, Batch    496, Loss  0.866545, Average Loss  0.869557, Time  0.462405
2021-09-25 16:21:13.928619 : Epoch  9, Batch    497, Loss  0.876559, Average Loss  0.869574, Time  0.477669
2021-09-25 16:21:19.975833 : Epoch  9, Batch    498, Loss  0.864635, Average Loss  0.869536, Time  0.444939
2021-09-25 16:21:26.004796 : Epoch  9, Batch    499, Loss  0.868484, Average Loss  0.869524, Time  0.446603
2021-09-25 16:21:32.630175 : Epoch  9, Batch    500, Loss  0.875200, Average Loss  0.869579, Time  0.451851
2021-09-25 16:21:39.424117 : Epoch  9, Batch    501, Loss  0.866380, Average Loss  0.869555, Time  0.464484
2021-09-25 16:21:46.046828 : Epoch  9, Batch    502, Loss  0.862015, Average Loss  0.869502, Time  0.499413
2021-09-25 16:21:52.425985 : Epoch  9, Batch    503, Loss  0.864974, Average Loss  0.869531, Time  0.447365
2021-09-25 16:21:58.640397 : Epoch  9, Batch    504, Loss  0.876177, Average Loss  0.869570, Time  0.468671
2021-09-25 16:22:04.805783 : Epoch  9, Batch    505, Loss  0.836540, Average Loss  0.869416, Time  0.445423
2021-09-25 16:22:10.957863 : Epoch  9, Batch    506, Loss  0.858284, Average Loss  0.869420, Time  0.450410
2021-09-25 16:22:17.066491 : Epoch  9, Batch    507, Loss  0.881869, Average Loss  0.869453, Time  0.448366
2021-09-25 16:22:23.155914 : Epoch  9, Batch    508, Loss  0.861575, Average Loss  0.869401, Time  0.447514
2021-09-25 16:22:29.283151 : Epoch  9, Batch    509, Loss  0.869838, Average Loss  0.869416, Time  0.445511
2021-09-25 16:22:35.380727 : Epoch  9, Batch    510, Loss  0.860197, Average Loss  0.869335, Time  0.444848
2021-09-25 16:22:41.485750 : Epoch  9, Batch    511, Loss  0.867751, Average Loss  0.869322, Time  0.451764
2021-09-25 16:22:47.562465 : Epoch  9, Batch    512, Loss  0.876873, Average Loss  0.869291, Time  0.457370
2021-09-25 16:22:53.637214 : Epoch  9, Batch    513, Loss  0.867223, Average Loss  0.869309, Time  0.447549
2021-09-25 16:22:59.718165 : Epoch  9, Batch    514, Loss  0.869774, Average Loss  0.869273, Time  0.450730
2021-09-25 16:23:05.773987 : Epoch  9, Batch    515, Loss  0.863613, Average Loss  0.869225, Time  0.445233
2021-09-25 16:23:11.818190 : Epoch  9, Batch    516, Loss  0.883282, Average Loss  0.869310, Time  0.445585
2021-09-25 16:23:17.883780 : Epoch  9, Batch    517, Loss  0.871647, Average Loss  0.869367, Time  0.447188
2021-09-25 16:23:23.950430 : Epoch  9, Batch    518, Loss  0.871887, Average Loss  0.869417, Time  0.445656
2021-09-25 16:23:30.019661 : Epoch  9, Batch    519, Loss  0.863525, Average Loss  0.869362, Time  0.457706
2021-09-25 16:23:36.074012 : Epoch  9, Batch    520, Loss  0.874887, Average Loss  0.869385, Time  0.445479
2021-09-25 16:23:40.462636 : CheckPoint: Validation Loss  0.00015317, Best Loss  0.00014737
2021-09-25 16:23:42.117918 : Epoch  9, Batch    521, Loss  0.880891, Average Loss  0.869504, Time  0.445843
2021-09-25 16:23:46.484825 : Epoch  9, Batch    177, Loss  0.865625, Average Loss  0.871009, Time  0.444192
2021-09-25 16:23:48.151237 : Epoch  9, Batch    522, Loss  0.870263, Average Loss  0.869549, Time  0.448470
2021-09-25 16:23:52.564415 : Epoch  9, Batch    178, Loss  0.876406, Average Loss  0.871023, Time  0.462581
2021-09-25 16:23:54.212368 : Epoch  9, Batch    523, Loss  0.851692, Average Loss  0.869416, Time  0.445093
2021-09-25 16:23:58.633491 : Epoch  9, Batch    179, Loss  0.865905, Average Loss  0.871040, Time  0.445293
2021-09-25 16:24:00.291316 : Epoch  9, Batch    524, Loss  0.865532, Average Loss  0.869425, Time  0.445173
2021-09-25 16:24:04.685849 : Epoch  9, Batch    180, Loss  0.872735, Average Loss  0.871032, Time  0.443655
2021-09-25 16:24:06.370661 : Epoch  9, Batch    525, Loss  0.873100, Average Loss  0.869435, Time  0.445118
2021-09-25 16:24:10.751147 : Epoch  9, Batch    181, Loss  0.860650, Average Loss  0.871035, Time  0.445385
2021-09-25 16:24:12.442850 : Epoch  9, Batch    526, Loss  0.851741, Average Loss  0.869411, Time  0.460083
2021-09-25 16:24:16.803892 : Epoch  9, Batch    182, Loss  0.882190, Average Loss  0.871084, Time  0.444527
2021-09-25 16:24:18.481794 : Epoch  9, Batch    527, Loss  0.860463, Average Loss  0.869316, Time  0.445585
2021-09-25 16:24:22.862033 : Epoch  9, Batch    183, Loss  0.882726, Average Loss  0.871135, Time  0.450538
2021-09-25 16:24:24.499194 : Epoch  9, Batch    528, Loss  0.881680, Average Loss  0.869410, Time  0.445598
2021-09-25 16:24:28.919308 : Epoch  9, Batch    184, Loss  0.853640, Average Loss  0.871054, Time  0.444062
2021-09-25 16:24:30.559377 : Epoch  9, Batch    529, Loss  0.887509, Average Loss  0.869515, Time  0.450126
2021-09-25 16:24:34.992748 : Epoch  9, Batch    185, Loss  0.872373, Average Loss  0.871019, Time  0.445488
2021-09-25 16:24:36.614404 : Epoch  9, Batch    530, Loss  0.867097, Average Loss  0.869575, Time  0.446064
2021-09-25 16:24:41.070609 : Epoch  9, Batch    186, Loss  0.872368, Average Loss  0.871020, Time  0.444093
2021-09-25 16:24:42.678607 : Epoch  9, Batch    531, Loss  0.854755, Average Loss  0.869495, Time  0.447948
2021-09-25 16:24:47.157714 : Epoch  9, Batch    187, Loss  0.873656, Average Loss  0.871110, Time  0.444216
2021-09-25 16:24:48.731807 : Epoch  9, Batch    532, Loss  0.881550, Average Loss  0.869599, Time  0.448789
2021-09-25 16:24:53.222425 : Epoch  9, Batch    188, Loss  0.861882, Average Loss  0.871037, Time  0.443951
2021-09-25 16:24:54.771157 : Epoch  9, Batch    533, Loss  0.860379, Average Loss  0.869600, Time  0.445220
2021-09-25 16:24:59.308190 : Epoch  9, Batch    189, Loss  0.879527, Average Loss  0.871090, Time  0.447335
2021-09-25 16:25:00.824558 : Epoch  9, Batch    534, Loss  0.863729, Average Loss  0.869570, Time  0.453984
2021-09-25 16:25:05.392386 : Epoch  9, Batch    190, Loss  0.872359, Average Loss  0.871098, Time  0.458665
2021-09-25 16:25:06.869301 : Epoch  9, Batch    535, Loss  0.862566, Average Loss  0.869494, Time  0.450469
2021-09-25 16:25:11.455578 : Epoch  9, Batch    191, Loss  0.879212, Average Loss  0.871219, Time  0.446264
2021-09-25 16:25:12.943899 : Epoch  9, Batch    536, Loss  0.874973, Average Loss  0.869540, Time  0.454921
2021-09-25 16:25:17.546165 : Epoch  9, Batch    192, Loss  0.873211, Average Loss  0.871254, Time  0.444105
2021-09-25 16:25:19.002406 : Epoch  9, Batch    537, Loss  0.867431, Average Loss  0.869525, Time  0.448792
2021-09-25 16:25:23.612063 : Epoch  9, Batch    193, Loss  0.859432, Average Loss  0.871184, Time  0.445850
2021-09-25 16:25:25.060956 : Epoch  9, Batch    538, Loss  0.881870, Average Loss  0.869545, Time  0.450681
2021-09-25 16:25:29.697179 : Epoch  9, Batch    194, Loss  0.867326, Average Loss  0.871138, Time  0.445605
2021-09-25 16:25:31.119572 : Epoch  9, Batch    539, Loss  0.878589, Average Loss  0.869575, Time  0.450114
2021-09-25 16:25:35.748700 : Epoch  9, Batch    195, Loss  0.871855, Average Loss  0.871153, Time  0.444088
2021-09-25 16:25:37.174922 : Epoch  9, Batch    540, Loss  0.880338, Average Loss  0.869607, Time  0.446788
2021-09-25 16:25:41.821155 : Epoch  9, Batch    196, Loss  0.881077, Average Loss  0.871227, Time  0.445131
2021-09-25 16:25:43.239339 : Epoch  9, Batch    541, Loss  0.856499, Average Loss  0.869528, Time  0.460965
2021-09-25 16:25:47.917872 : Epoch  9, Batch    197, Loss  0.885218, Average Loss  0.871229, Time  0.445104
2021-09-25 16:25:49.293810 : Epoch  9, Batch    542, Loss  0.854700, Average Loss  0.869430, Time  0.445900
2021-09-25 16:25:54.018489 : Epoch  9, Batch    198, Loss  0.858374, Average Loss  0.871217, Time  0.460545
2021-09-25 16:25:55.334038 : Epoch  9, Batch    543, Loss  0.864659, Average Loss  0.869420, Time  0.446195
2021-09-25 16:26:00.096709 : Epoch  9, Batch    199, Loss  0.870780, Average Loss  0.871203, Time  0.448238
2021-09-25 16:26:01.388357 : Epoch  9, Batch    544, Loss  0.878272, Average Loss  0.869489, Time  0.447196
2021-09-25 16:26:06.168747 : Epoch  9, Batch    200, Loss  0.861140, Average Loss  0.871179, Time  0.445235
2021-09-25 16:26:07.429078 : Epoch  9, Batch    545, Loss  0.872374, Average Loss  0.869418, Time  0.448319
2021-09-25 16:26:12.250550 : Epoch  9, Batch    201, Loss  0.866563, Average Loss  0.871091, Time  0.443668
2021-09-25 16:26:13.500163 : Epoch  9, Batch    546, Loss  0.869869, Average Loss  0.869419, Time  0.444966
2021-09-25 16:26:18.344507 : Epoch  9, Batch    202, Loss  0.854580, Average Loss  0.871003, Time  0.447200
2021-09-25 16:26:19.559538 : Epoch  9, Batch    547, Loss  0.871196, Average Loss  0.869497, Time  0.445941
2021-09-25 16:26:24.409600 : Epoch  9, Batch    203, Loss  0.877869, Average Loss  0.871097, Time  0.444463
2021-09-25 16:26:25.608549 : Epoch  9, Batch    548, Loss  0.855802, Average Loss  0.869406, Time  0.445196
2021-09-25 16:26:30.470972 : Epoch  9, Batch    204, Loss  0.865982, Average Loss  0.871069, Time  0.445471
2021-09-25 16:26:31.666861 : Epoch  9, Batch    549, Loss  0.872481, Average Loss  0.869494, Time  0.461687
2021-09-25 16:26:36.554577 : Epoch  9, Batch    205, Loss  0.871605, Average Loss  0.871118, Time  0.450758
2021-09-25 16:26:37.726103 : Epoch  9, Batch    550, Loss  0.870491, Average Loss  0.869453, Time  0.460515
2021-09-25 16:26:42.647529 : Epoch  9, Batch    206, Loss  0.852344, Average Loss  0.871084, Time  0.444324
2021-09-25 16:26:43.772857 : Epoch  9, Batch    551, Loss  0.870637, Average Loss  0.869499, Time  0.446892
2021-09-25 16:26:48.706746 : Epoch  9, Batch    207, Loss  0.864112, Average Loss  0.871064, Time  0.444149
2021-09-25 16:26:49.829564 : Epoch  9, Batch    552, Loss  0.888480, Average Loss  0.869735, Time  0.447334
2021-09-25 16:26:54.793836 : Epoch  9, Batch    208, Loss  0.877671, Average Loss  0.871112, Time  0.444587
2021-09-25 16:26:55.882004 : Epoch  9, Batch    553, Loss  0.853538, Average Loss  0.869635, Time  0.445629
2021-09-25 16:27:00.874881 : Epoch  9, Batch    209, Loss  0.891719, Average Loss  0.871288, Time  0.446451
2021-09-25 16:27:01.924907 : Epoch  9, Batch    554, Loss  0.864096, Average Loss  0.869632, Time  0.445423
2021-09-25 16:27:06.953595 : Epoch  9, Batch    210, Loss  0.864570, Average Loss  0.871237, Time  0.444122
2021-09-25 16:27:07.958991 : Epoch  9, Batch    555, Loss  0.874908, Average Loss  0.869633, Time  0.446399
2021-09-25 16:27:13.034478 : Epoch  9, Batch    211, Loss  0.851085, Average Loss  0.871187, Time  0.443987
2021-09-25 16:27:14.033330 : Epoch  9, Batch    556, Loss  0.869988, Average Loss  0.869687, Time  0.453554
2021-09-25 16:27:19.109110 : Epoch  9, Batch    212, Loss  0.866915, Average Loss  0.871217, Time  0.449168
2021-09-25 16:27:20.094076 : Epoch  9, Batch    557, Loss  0.864699, Average Loss  0.869652, Time  0.447836
2021-09-25 16:27:25.186799 : Epoch  9, Batch    213, Loss  0.864528, Average Loss  0.871154, Time  0.450441
2021-09-25 16:27:26.140049 : Epoch  9, Batch    558, Loss  0.871952, Average Loss  0.869616, Time  0.446753
2021-09-25 16:27:31.246640 : Epoch  9, Batch    214, Loss  0.869541, Average Loss  0.871171, Time  0.444219
2021-09-25 16:27:32.184503 : Epoch  9, Batch    559, Loss  0.854346, Average Loss  0.869555, Time  0.447309
2021-09-25 16:27:37.326450 : Epoch  9, Batch    215, Loss  0.887959, Average Loss  0.871281, Time  0.443490
2021-09-25 16:27:38.245140 : Epoch  9, Batch    560, Loss  0.868358, Average Loss  0.869577, Time  0.445777
2021-09-25 16:27:43.376216 : Epoch  9, Batch    216, Loss  0.852312, Average Loss  0.871164, Time  0.443718
2021-09-25 16:27:44.287673 : Epoch  9, Batch    561, Loss  0.865786, Average Loss  0.869488, Time  0.444977
2021-09-25 16:27:49.437439 : Epoch  9, Batch    217, Loss  0.874789, Average Loss  0.871140, Time  0.446759
2021-09-25 16:27:50.311011 : Epoch  9, Batch    562, Loss  0.877232, Average Loss  0.869543, Time  0.445444
2021-09-25 16:27:55.478742 : Epoch  9, Batch    218, Loss  0.873561, Average Loss  0.871165, Time  0.445524
2021-09-25 16:27:56.334276 : Epoch  9, Batch    563, Loss  0.886961, Average Loss  0.869647, Time  0.451342
2021-09-25 16:28:01.535732 : Epoch  9, Batch    219, Loss  0.865108, Average Loss  0.871110, Time  0.444942
2021-09-25 16:28:02.405842 : Epoch  9, Batch    564, Loss  0.870258, Average Loss  0.869581, Time  0.459084
2021-09-25 16:28:07.618286 : Epoch  9, Batch    220, Loss  0.872445, Average Loss  0.871110, Time  0.452598
2021-09-25 16:28:08.464140 : Epoch  9, Batch    565, Loss  0.873953, Average Loss  0.869639, Time  0.446074
2021-09-25 16:28:13.699831 : Epoch  9, Batch    221, Loss  0.873299, Average Loss  0.871096, Time  0.444415
2021-09-25 16:28:14.521347 : Epoch  9, Batch    566, Loss  0.889031, Average Loss  0.869733, Time  0.444813
2021-09-25 16:28:19.794462 : Epoch  9, Batch    222, Loss  0.875921, Average Loss  0.871128, Time  0.446003
2021-09-25 16:28:20.577867 : Epoch  9, Batch    567, Loss  0.866345, Average Loss  0.869727, Time  0.444609
2021-09-25 16:28:25.862800 : Epoch  9, Batch    223, Loss  0.872181, Average Loss  0.871185, Time  0.445373
2021-09-25 16:28:26.619057 : Epoch  9, Batch    568, Loss  0.870179, Average Loss  0.869673, Time  0.445385
2021-09-25 16:28:31.942275 : Epoch  9, Batch    224, Loss  0.865939, Average Loss  0.871122, Time  0.445596
2021-09-25 16:28:32.683824 : Epoch  9, Batch    569, Loss  0.880535, Average Loss  0.869740, Time  0.449628
2021-09-25 16:28:38.008124 : Epoch  9, Batch    225, Loss  0.871559, Average Loss  0.871089, Time  0.446084
2021-09-25 16:28:38.737180 : Epoch  9, Batch    570, Loss  0.854850, Average Loss  0.869647, Time  0.446966
2021-09-25 16:28:44.104199 : Epoch  9, Batch    226, Loss  0.874484, Average Loss  0.871103, Time  0.445892
2021-09-25 16:28:44.813769 : Epoch  9, Batch    571, Loss  0.860117, Average Loss  0.869560, Time  0.460793
2021-09-25 16:28:50.181648 : Epoch  9, Batch    227, Loss  0.866047, Average Loss  0.871104, Time  0.444166
2021-09-25 16:28:50.845609 : Epoch  9, Batch    572, Loss  0.878939, Average Loss  0.869583, Time  0.444868
2021-09-25 16:28:56.260513 : Epoch  9, Batch    228, Loss  0.876189, Average Loss  0.871133, Time  0.454993
2021-09-25 16:28:56.882471 : Epoch  9, Batch    573, Loss  0.879975, Average Loss  0.869714, Time  0.445141
2021-09-25 16:29:02.320028 : Epoch  9, Batch    229, Loss  0.863212, Average Loss  0.871134, Time  0.444846
2021-09-25 16:29:02.948143 : Epoch  9, Batch    574, Loss  0.865749, Average Loss  0.869724, Time  0.444689
2021-09-25 16:29:08.385306 : Epoch  9, Batch    230, Loss  0.864178, Average Loss  0.871168, Time  0.444693
2021-09-25 16:29:08.992999 : Epoch  9, Batch    575, Loss  0.882172, Average Loss  0.869809, Time  0.446306
2021-09-25 16:29:14.460939 : Epoch  9, Batch    231, Loss  0.881076, Average Loss  0.871214, Time  0.443974
2021-09-25 16:29:20.557278 : Epoch  9, Batch    232, Loss  0.876962, Average Loss  0.871298, Time  0.448510
2021-09-25 16:29:20.646990 : Epoch  9, Batch    576, Loss  0.865079, Average Loss  0.869830, Time  0.446283
2021-09-25 16:29:26.631120 : Epoch  9, Batch    233, Loss  0.864379, Average Loss  0.871209, Time  0.445222
2021-09-25 16:29:32.690129 : Epoch  9, Batch    234, Loss  0.864180, Average Loss  0.871148, Time  0.444605
2021-09-25 16:29:38.770824 : Epoch  9, Batch    235, Loss  0.870028, Average Loss  0.871146, Time  0.459256
2021-09-25 16:29:44.860807 : Epoch  9, Batch    236, Loss  0.864687, Average Loss  0.871110, Time  0.445641
2021-09-25 16:29:50.922256 : Epoch  9, Batch    237, Loss  0.867812, Average Loss  0.871121, Time  0.447628
2021-09-25 16:29:56.988603 : Epoch  9, Batch    238, Loss  0.877901, Average Loss  0.871140, Time  0.444799
2021-09-25 16:30:03.046187 : Epoch  9, Batch    239, Loss  0.862928, Average Loss  0.871146, Time  0.443871
2021-09-25 16:30:09.132881 : Epoch  9, Batch    240, Loss  0.860311, Average Loss  0.871105, Time  0.446374
2021-09-25 16:30:15.196848 : Epoch  9, Batch    241, Loss  0.868117, Average Loss  0.871064, Time  0.444414
2021-09-25 16:30:21.293776 : Epoch  9, Batch    242, Loss  0.878227, Average Loss  0.871067, Time  0.448374
2021-09-25 16:30:27.382704 : Epoch  9, Batch    243, Loss  0.869927, Average Loss  0.871092, Time  0.464236
2021-09-25 16:30:33.478835 : Epoch  9, Batch    244, Loss  0.874173, Average Loss  0.871080, Time  0.448151
2021-09-25 16:30:39.552477 : Epoch  9, Batch    245, Loss  0.883308, Average Loss  0.871126, Time  0.444189
2021-09-25 16:30:45.623109 : Epoch  9, Batch    246, Loss  0.873227, Average Loss  0.871051, Time  0.443687
2021-09-25 16:30:51.687337 : Epoch  9, Batch    247, Loss  0.870971, Average Loss  0.870994, Time  0.445313
2021-09-25 16:30:57.780332 : Epoch  9, Batch    248, Loss  0.869194, Average Loss  0.870973, Time  0.447112
2021-09-25 16:31:03.843759 : Epoch  9, Batch    249, Loss  0.874371, Average Loss  0.871026, Time  0.445516
2021-09-25 16:31:09.934753 : Epoch  9, Batch    250, Loss  0.863944, Average Loss  0.870988, Time  0.457121
2021-09-25 16:31:16.015356 : Epoch  9, Batch    251, Loss  0.877936, Average Loss  0.871068, Time  0.445461
2021-09-25 16:31:22.087586 : Epoch  9, Batch    252, Loss  0.866074, Average Loss  0.870994, Time  0.445621
2021-09-25 16:31:28.164055 : Epoch  9, Batch    253, Loss  0.874005, Average Loss  0.870993, Time  0.445679
2021-09-25 16:31:34.237740 : Epoch  9, Batch    254, Loss  0.860207, Average Loss  0.870918, Time  0.444509
2021-09-25 16:31:40.338365 : Epoch  9, Batch    255, Loss  0.873128, Average Loss  0.870938, Time  0.444806
2021-09-25 16:31:46.422153 : Epoch  9, Batch    256, Loss  0.870106, Average Loss  0.870924, Time  0.445145
2021-09-25 16:31:52.515094 : Epoch  9, Batch    257, Loss  0.873091, Average Loss  0.870910, Time  0.445484
2021-09-25 16:31:58.605086 : Epoch  9, Batch    258, Loss  0.894503, Average Loss  0.871051, Time  0.450752
2021-09-25 16:32:04.672218 : Epoch  9, Batch    259, Loss  0.864729, Average Loss  0.870995, Time  0.447190
2021-09-25 16:32:10.745224 : Epoch  9, Batch    260, Loss  0.865483, Average Loss  0.870897, Time  0.443912
2021-09-25 16:32:16.804454 : Epoch  9, Batch    261, Loss  0.863430, Average Loss  0.870826, Time  0.443907
2021-09-25 16:32:22.906880 : Epoch  9, Batch    262, Loss  0.875908, Average Loss  0.870866, Time  0.445098
2021-09-25 16:32:28.988845 : Epoch  9, Batch    263, Loss  0.874983, Average Loss  0.870901, Time  0.444880
2021-09-25 16:32:35.082788 : Epoch  9, Batch    264, Loss  0.869925, Average Loss  0.870861, Time  0.444447
2021-09-25 16:32:41.159187 : Epoch  9, Batch    265, Loss  0.863037, Average Loss  0.870832, Time  0.457250
2021-09-25 16:32:47.237780 : Epoch  9, Batch    266, Loss  0.861795, Average Loss  0.870772, Time  0.445030
2021-09-25 16:32:53.313133 : Epoch  9, Batch    267, Loss  0.878897, Average Loss  0.870761, Time  0.446157
2021-09-25 16:32:59.384157 : Epoch  9, Batch    268, Loss  0.866217, Average Loss  0.870780, Time  0.452351
2021-09-25 16:33:05.440070 : Epoch  9, Batch    269, Loss  0.879756, Average Loss  0.870762, Time  0.447092
2021-09-25 16:33:11.501468 : Epoch  9, Batch    270, Loss  0.876274, Average Loss  0.870756, Time  0.444572
2021-09-25 16:33:17.586436 : Epoch  9, Batch    271, Loss  0.870551, Average Loss  0.870719, Time  0.446191
2021-09-25 16:33:23.675728 : Epoch  9, Batch    272, Loss  0.882933, Average Loss  0.870789, Time  0.445897
2021-09-25 16:33:29.758752 : Epoch  9, Batch    273, Loss  0.867519, Average Loss  0.870790, Time  0.458109
2021-09-25 16:33:35.833361 : Epoch  9, Batch    274, Loss  0.865208, Average Loss  0.870671, Time  0.445961
2021-09-25 16:33:41.912706 : Epoch  9, Batch    275, Loss  0.871482, Average Loss  0.870669, Time  0.443831
2021-09-25 16:33:48.006508 : Epoch  9, Batch    276, Loss  0.867153, Average Loss  0.870622, Time  0.446748
2021-09-25 16:34:04.809286 : CheckPoint: Validation Loss  0.00015029, Best Loss  0.00014749
2021-09-25 16:34:10.870858 : Epoch  9, Batch    577, Loss  0.860823, Average Loss  0.869781, Time  0.459549
2021-09-25 16:34:16.912403 : Epoch  9, Batch    578, Loss  0.886448, Average Loss  0.869892, Time  0.445846
2021-09-25 16:34:22.961295 : Epoch  9, Batch    579, Loss  0.866463, Average Loss  0.869886, Time  0.450797
2021-09-25 16:34:29.010939 : Epoch  9, Batch    580, Loss  0.887237, Average Loss  0.869946, Time  0.449745
2021-09-25 16:34:35.046258 : Epoch  9, Batch    581, Loss  0.871549, Average Loss  0.869899, Time  0.445037
2021-09-25 16:34:41.076060 : Epoch  9, Batch    582, Loss  0.871183, Average Loss  0.869887, Time  0.445293
2021-09-25 16:34:47.128329 : Epoch  9, Batch    583, Loss  0.868671, Average Loss  0.869831, Time  0.445637
2021-09-25 16:34:53.193846 : Epoch  9, Batch    584, Loss  0.866874, Average Loss  0.869839, Time  0.458519
2021-09-25 16:34:59.245966 : Epoch  9, Batch    585, Loss  0.878610, Average Loss  0.869939, Time  0.450400
2021-09-25 16:35:05.300579 : Epoch  9, Batch    586, Loss  0.866695, Average Loss  0.869936, Time  0.445524
2021-09-25 16:35:11.358322 : Epoch  9, Batch    587, Loss  0.864108, Average Loss  0.869926, Time  0.444797
2021-09-25 16:35:17.426484 : Epoch  9, Batch    588, Loss  0.867133, Average Loss  0.869939, Time  0.448414
2021-09-25 16:35:23.495226 : Epoch  9, Batch    589, Loss  0.882753, Average Loss  0.870011, Time  0.450203
2021-09-25 16:35:29.552098 : Epoch  9, Batch    590, Loss  0.889675, Average Loss  0.870101, Time  0.445546
2021-09-25 16:35:35.621281 : Epoch  9, Batch    591, Loss  0.868913, Average Loss  0.870168, Time  0.459971
2021-09-25 16:35:41.652106 : Epoch  9, Batch    592, Loss  0.879615, Average Loss  0.870148, Time  0.445406
2021-09-25 16:35:47.696395 : Epoch  9, Batch    593, Loss  0.864113, Average Loss  0.870101, Time  0.444568
2021-09-25 16:35:53.754782 : Epoch  9, Batch    594, Loss  0.869252, Average Loss  0.870062, Time  0.445308
2021-09-25 16:35:59.800482 : Epoch  9, Batch    595, Loss  0.871415, Average Loss  0.870007, Time  0.447032
2021-09-25 16:36:05.857287 : Epoch  9, Batch    596, Loss  0.857974, Average Loss  0.869922, Time  0.445399
2021-09-25 16:36:11.898465 : Epoch  9, Batch    597, Loss  0.883002, Average Loss  0.869999, Time  0.446925
2021-09-25 16:36:17.952309 : Epoch  9, Batch    598, Loss  0.863360, Average Loss  0.870018, Time  0.449399
2021-09-25 16:36:24.008333 : Epoch  9, Batch    599, Loss  0.881374, Average Loss  0.870121, Time  0.457602
2021-09-25 16:36:30.050897 : Epoch  9, Batch    600, Loss  0.865058, Average Loss  0.870108, Time  0.444476
2021-09-25 16:36:36.102707 : Epoch  9, Batch    601, Loss  0.862382, Average Loss  0.870021, Time  0.444661
2021-09-25 16:36:42.147602 : Epoch  9, Batch    602, Loss  0.857019, Average Loss  0.870008, Time  0.445361
2021-09-25 16:36:48.187285 : Epoch  9, Batch    603, Loss  0.862815, Average Loss  0.869952, Time  0.446443
2021-09-25 16:36:54.250612 : Epoch  9, Batch    604, Loss  0.868195, Average Loss  0.869986, Time  0.446093
2021-09-25 16:37:00.320958 : Epoch  9, Batch    605, Loss  0.885147, Average Loss  0.870044, Time  0.446585
2021-09-25 16:37:06.389516 : Epoch  9, Batch    606, Loss  0.872328, Average Loss  0.870006, Time  0.458109
2021-09-25 16:37:12.454361 : Epoch  9, Batch    607, Loss  0.865802, Average Loss  0.870005, Time  0.446393
2021-09-25 16:37:18.527418 : Epoch  9, Batch    608, Loss  0.855749, Average Loss  0.869902, Time  0.445760
2021-09-25 16:37:24.586250 : Epoch  9, Batch    609, Loss  0.849849, Average Loss  0.869768, Time  0.447222
2021-09-25 16:37:30.647410 : Epoch  9, Batch    610, Loss  0.882739, Average Loss  0.869819, Time  0.446451
2021-09-25 16:37:36.711718 : Epoch  9, Batch    611, Loss  0.862264, Average Loss  0.869735, Time  0.447094
2021-09-25 16:37:42.758208 : Epoch  9, Batch    612, Loss  0.880253, Average Loss  0.869825, Time  0.444874
2021-09-25 16:37:48.812324 : Epoch  9, Batch    613, Loss  0.870857, Average Loss  0.869845, Time  0.444530
2021-09-25 16:37:54.886748 : Epoch  9, Batch    614, Loss  0.866277, Average Loss  0.869866, Time  0.462255
2021-09-25 16:38:00.939449 : Epoch  9, Batch    615, Loss  0.876723, Average Loss  0.869844, Time  0.445873
2021-09-25 16:38:06.991617 : Epoch  9, Batch    616, Loss  0.889020, Average Loss  0.869964, Time  0.445109
2021-09-25 16:38:13.052367 : Epoch  9, Batch    617, Loss  0.859759, Average Loss  0.869848, Time  0.445089
2021-09-25 16:38:19.118024 : Epoch  9, Batch    618, Loss  0.873986, Average Loss  0.869885, Time  0.446036
2021-09-25 16:38:25.181505 : Epoch  9, Batch    619, Loss  0.875707, Average Loss  0.869849, Time  0.446730
2021-09-25 16:38:31.229621 : Epoch  9, Batch    620, Loss  0.877676, Average Loss  0.869907, Time  0.445316
2021-09-25 16:38:33.902645 : CheckPoint: Validation Loss  0.00015328, Best Loss  0.00014737
2021-09-25 16:38:37.286754 : Epoch  9, Batch    621, Loss  0.874301, Average Loss  0.869990, Time  0.444288
2021-09-25 16:38:39.952905 : Epoch  9, Batch    277, Loss  0.857566, Average Loss  0.870490, Time  0.443468
2021-09-25 16:38:43.342552 : Epoch  9, Batch    622, Loss  0.885928, Average Loss  0.870095, Time  0.456951
2021-09-25 16:38:45.980254 : Epoch  9, Batch    278, Loss  0.881227, Average Loss  0.870532, Time  0.456295
2021-09-25 16:38:49.373741 : Epoch  9, Batch    623, Loss  0.882642, Average Loss  0.870214, Time  0.446019
2021-09-25 16:38:52.008793 : Epoch  9, Batch    279, Loss  0.870622, Average Loss  0.870588, Time  0.444050
2021-09-25 16:38:55.434459 : Epoch  9, Batch    624, Loss  0.867313, Average Loss  0.870179, Time  0.444967
2021-09-25 16:38:58.034315 : Epoch  9, Batch    280, Loss  0.866979, Average Loss  0.870482, Time  0.444688
2021-09-25 16:39:01.484091 : Epoch  9, Batch    625, Loss  0.853619, Average Loss  0.870145, Time  0.444705
2021-09-25 16:39:04.063321 : Epoch  9, Batch    281, Loss  0.858432, Average Loss  0.870452, Time  0.443800
2021-09-25 16:39:07.544469 : Epoch  9, Batch    626, Loss  0.877446, Average Loss  0.870208, Time  0.445573
2021-09-25 16:39:10.100555 : Epoch  9, Batch    282, Loss  0.871506, Average Loss  0.870381, Time  0.447343
2021-09-25 16:39:13.597571 : Epoch  9, Batch    627, Loss  0.870438, Average Loss  0.870214, Time  0.445342
2021-09-25 16:39:16.147384 : Epoch  9, Batch    283, Loss  0.853926, Average Loss  0.870314, Time  0.448744
2021-09-25 16:39:19.657142 : Epoch  9, Batch    628, Loss  0.871258, Average Loss  0.870232, Time  0.445545
2021-09-25 16:39:22.186638 : Epoch  9, Batch    284, Loss  0.865515, Average Loss  0.870278, Time  0.444436
2021-09-25 16:39:25.724352 : Epoch  9, Batch    629, Loss  0.852135, Average Loss  0.870037, Time  0.460014
2021-09-25 16:39:28.230358 : Epoch  9, Batch    285, Loss  0.869956, Average Loss  0.870291, Time  0.445337
2021-09-25 16:39:31.791934 : Epoch  9, Batch    630, Loss  0.880425, Average Loss  0.870119, Time  0.447911
2021-09-25 16:39:34.276934 : Epoch  9, Batch    286, Loss  0.868201, Average Loss  0.870298, Time  0.457161
2021-09-25 16:39:37.851069 : Epoch  9, Batch    631, Loss  0.860566, Average Loss  0.870045, Time  0.447924
2021-09-25 16:39:40.294785 : Epoch  9, Batch    287, Loss  0.870582, Average Loss  0.870336, Time  0.445617
2021-09-25 16:39:43.908935 : Epoch  9, Batch    632, Loss  0.875415, Average Loss  0.870098, Time  0.445719
2021-09-25 16:39:46.348915 : Epoch  9, Batch    288, Loss  0.866481, Average Loss  0.870371, Time  0.445068
2021-09-25 16:39:49.946900 : Epoch  9, Batch    633, Loss  0.872573, Average Loss  0.870153, Time  0.446046
2021-09-25 16:39:52.376024 : Epoch  9, Batch    289, Loss  0.877118, Average Loss  0.870387, Time  0.444422
2021-09-25 16:39:55.997778 : Epoch  9, Batch    634, Loss  0.871074, Average Loss  0.870154, Time  0.450303
2021-09-25 16:39:58.395891 : Epoch  9, Batch    290, Loss  0.868849, Average Loss  0.870285, Time  0.447298
2021-09-25 16:40:02.056828 : Epoch  9, Batch    635, Loss  0.859345, Average Loss  0.870120, Time  0.444407
2021-09-25 16:40:04.438926 : Epoch  9, Batch    291, Loss  0.861463, Average Loss  0.870304, Time  0.447500
2021-09-25 16:40:08.109884 : Epoch  9, Batch    636, Loss  0.875559, Average Loss  0.870116, Time  0.452631
2021-09-25 16:40:10.472983 : Epoch  9, Batch    292, Loss  0.855401, Average Loss  0.870379, Time  0.443774
2021-09-25 16:40:14.179368 : Epoch  9, Batch    637, Loss  0.865014, Average Loss  0.870085, Time  0.462646
2021-09-25 16:40:16.516213 : Epoch  9, Batch    293, Loss  0.881119, Average Loss  0.870463, Time  0.457614
2021-09-25 16:40:20.236270 : Epoch  9, Batch    638, Loss  0.860792, Average Loss  0.869973, Time  0.447248
2021-09-25 16:40:22.540574 : Epoch  9, Batch    294, Loss  0.865935, Average Loss  0.870390, Time  0.447498
2021-09-25 16:40:26.298712 : Epoch  9, Batch    639, Loss  0.874765, Average Loss  0.870000, Time  0.446537
2021-09-25 16:40:28.576848 : Epoch  9, Batch    295, Loss  0.869993, Average Loss  0.870419, Time  0.443935
2021-09-25 16:40:32.370243 : Epoch  9, Batch    640, Loss  0.869271, Average Loss  0.869982, Time  0.449857
2021-09-25 16:40:34.604941 : Epoch  9, Batch    296, Loss  0.850977, Average Loss  0.870340, Time  0.443657
2021-09-25 16:40:38.433169 : Epoch  9, Batch    641, Loss  0.882096, Average Loss  0.870056, Time  0.448153
2021-09-25 16:40:40.657902 : Epoch  9, Batch    297, Loss  0.864865, Average Loss  0.870273, Time  0.445863
2021-09-25 16:40:44.491473 : Epoch  9, Batch    642, Loss  0.870968, Average Loss  0.870045, Time  0.444983
2021-09-25 16:40:46.692889 : Epoch  9, Batch    298, Loss  0.879681, Average Loss  0.870371, Time  0.446239
2021-09-25 16:40:50.578018 : Epoch  9, Batch    643, Loss  0.873610, Average Loss  0.870025, Time  0.444609
2021-09-25 16:40:52.709439 : Epoch  9, Batch    299, Loss  0.869895, Average Loss  0.870378, Time  0.445290
2021-09-25 16:40:56.651561 : Epoch  9, Batch    644, Loss  0.859949, Average Loss  0.869992, Time  0.460286
2021-09-25 16:40:58.748872 : Epoch  9, Batch    300, Loss  0.869270, Average Loss  0.870405, Time  0.444826
2021-09-25 16:41:02.705868 : Epoch  9, Batch    645, Loss  0.870003, Average Loss  0.870053, Time  0.448118
2021-09-25 16:41:04.793821 : Epoch  9, Batch    301, Loss  0.870478, Average Loss  0.870438, Time  0.459360
2021-09-25 16:41:08.761830 : Epoch  9, Batch    646, Loss  0.874788, Average Loss  0.870086, Time  0.445518
2021-09-25 16:41:10.817492 : Epoch  9, Batch    302, Loss  0.861076, Average Loss  0.870430, Time  0.443996
2021-09-25 16:41:14.792520 : Epoch  9, Batch    647, Loss  0.869996, Average Loss  0.870003, Time  0.447648
2021-09-25 16:41:16.836818 : Epoch  9, Batch    303, Loss  0.867763, Average Loss  0.870375, Time  0.444767
2021-09-25 16:41:20.839019 : Epoch  9, Batch    648, Loss  0.860290, Average Loss  0.869979, Time  0.445743
2021-09-25 16:41:22.873330 : Epoch  9, Batch    304, Loss  0.867032, Average Loss  0.870359, Time  0.446904
2021-09-25 16:41:26.880012 : Epoch  9, Batch    649, Loss  0.879756, Average Loss  0.870022, Time  0.446013
2021-09-25 16:41:28.906544 : Epoch  9, Batch    305, Loss  0.866301, Average Loss  0.870313, Time  0.444491
2021-09-25 16:41:32.928480 : Epoch  9, Batch    650, Loss  0.862807, Average Loss  0.869938, Time  0.444940
2021-09-25 16:41:34.934841 : Epoch  9, Batch    306, Loss  0.861117, Average Loss  0.870240, Time  0.444179
2021-09-25 16:41:38.988924 : Epoch  9, Batch    651, Loss  0.865891, Average Loss  0.869966, Time  0.444801
2021-09-25 16:41:40.957092 : Epoch  9, Batch    307, Loss  0.869799, Average Loss  0.870247, Time  0.443752
2021-09-25 16:41:45.043286 : Epoch  9, Batch    652, Loss  0.878806, Average Loss  0.870082, Time  0.453709
2021-09-25 16:41:46.974096 : Epoch  9, Batch    308, Loss  0.868726, Average Loss  0.870351, Time  0.446890
2021-09-25 16:41:51.096555 : Epoch  9, Batch    653, Loss  0.874971, Average Loss  0.870156, Time  0.445904
2021-09-25 16:41:53.028646 : Epoch  9, Batch    309, Loss  0.876741, Average Loss  0.870414, Time  0.451957
2021-09-25 16:41:57.143751 : Epoch  9, Batch    654, Loss  0.859868, Average Loss  0.870076, Time  0.444951
2021-09-25 16:41:59.062961 : Epoch  9, Batch    310, Loss  0.881208, Average Loss  0.870424, Time  0.444286
2021-09-25 16:42:03.187928 : Epoch  9, Batch    655, Loss  0.856871, Average Loss  0.869974, Time  0.448318
2021-09-25 16:42:05.096462 : Epoch  9, Batch    311, Loss  0.845006, Average Loss  0.870361, Time  0.446539
2021-09-25 16:42:09.232069 : Epoch  9, Batch    656, Loss  0.854307, Average Loss  0.869972, Time  0.445782
2021-09-25 16:42:11.131862 : Epoch  9, Batch    312, Loss  0.857071, Average Loss  0.870301, Time  0.449234
2021-09-25 16:42:15.291372 : Epoch  9, Batch    657, Loss  0.855500, Average Loss  0.869981, Time  0.446885
2021-09-25 16:42:17.172254 : Epoch  9, Batch    313, Loss  0.859030, Average Loss  0.870284, Time  0.444970
2021-09-25 16:42:21.344855 : Epoch  9, Batch    658, Loss  0.856953, Average Loss  0.869937, Time  0.446240
2021-09-25 16:42:23.215964 : Epoch  9, Batch    314, Loss  0.862825, Average Loss  0.870267, Time  0.445339
2021-09-25 16:42:27.425481 : Epoch  9, Batch    659, Loss  0.872208, Average Loss  0.869964, Time  0.459006
2021-09-25 16:42:29.232707 : Epoch  9, Batch    315, Loss  0.856958, Average Loss  0.870186, Time  0.444466
2021-09-25 16:42:33.493567 : Epoch  9, Batch    660, Loss  0.869786, Average Loss  0.869902, Time  0.445618
2021-09-25 16:42:35.268833 : Epoch  9, Batch    316, Loss  0.867505, Average Loss  0.870074, Time  0.455516
2021-09-25 16:42:39.543958 : Epoch  9, Batch    661, Loss  0.866123, Average Loss  0.869884, Time  0.447887
2021-09-25 16:42:41.290936 : Epoch  9, Batch    317, Loss  0.868076, Average Loss  0.870098, Time  0.445344
2021-09-25 16:42:45.611321 : Epoch  9, Batch    662, Loss  0.861337, Average Loss  0.869789, Time  0.447702
2021-09-25 16:42:47.315914 : Epoch  9, Batch    318, Loss  0.875609, Average Loss  0.870107, Time  0.449411
2021-09-25 16:42:51.657775 : Epoch  9, Batch    663, Loss  0.884603, Average Loss  0.869840, Time  0.450664
2021-09-25 16:42:53.340659 : Epoch  9, Batch    319, Loss  0.852891, Average Loss  0.870035, Time  0.445422
2021-09-25 16:42:57.714371 : Epoch  9, Batch    664, Loss  0.860069, Average Loss  0.869769, Time  0.447079
2021-09-25 16:42:59.372348 : Epoch  9, Batch    320, Loss  0.860251, Average Loss  0.869963, Time  0.444908
2021-09-25 16:43:03.768022 : Epoch  9, Batch    665, Loss  0.866993, Average Loss  0.869769, Time  0.445987
2021-09-25 16:43:05.400953 : Epoch  9, Batch    321, Loss  0.861673, Average Loss  0.869986, Time  0.444622
2021-09-25 16:43:09.816488 : Epoch  9, Batch    666, Loss  0.870649, Average Loss  0.869786, Time  0.448791
2021-09-25 16:43:11.426354 : Epoch  9, Batch    322, Loss  0.840365, Average Loss  0.869813, Time  0.443120
2021-09-25 16:43:15.880734 : Epoch  9, Batch    667, Loss  0.858449, Average Loss  0.869742, Time  0.460747
2021-09-25 16:43:17.456948 : Epoch  9, Batch    323, Loss  0.867190, Average Loss  0.869779, Time  0.452593
2021-09-25 16:43:21.973279 : Epoch  9, Batch    668, Loss  0.872970, Average Loss  0.869821, Time  0.444601
2021-09-25 16:43:23.504885 : Epoch  9, Batch    324, Loss  0.873343, Average Loss  0.869799, Time  0.459004
2021-09-25 16:43:28.029641 : Epoch  9, Batch    669, Loss  0.868960, Average Loss  0.869860, Time  0.449011
2021-09-25 16:43:29.528778 : Epoch  9, Batch    325, Loss  0.862244, Average Loss  0.869693, Time  0.444185
2021-09-25 16:43:34.081335 : Epoch  9, Batch    670, Loss  0.871714, Average Loss  0.869846, Time  0.445296
2021-09-25 16:43:35.559748 : Epoch  9, Batch    326, Loss  0.860516, Average Loss  0.869653, Time  0.444300
2021-09-25 16:43:40.123202 : Epoch  9, Batch    671, Loss  0.874019, Average Loss  0.869880, Time  0.445561
2021-09-25 16:43:41.586016 : Epoch  9, Batch    327, Loss  0.866950, Average Loss  0.869560, Time  0.446966
2021-09-25 16:43:46.166568 : Epoch  9, Batch    672, Loss  0.863698, Average Loss  0.869893, Time  0.445080
2021-09-25 16:43:47.603266 : Epoch  9, Batch    328, Loss  0.859952, Average Loss  0.869480, Time  0.444946
2021-09-25 16:43:52.237083 : Epoch  9, Batch    673, Loss  0.862546, Average Loss  0.869825, Time  0.447306
2021-09-25 16:43:53.654754 : Epoch  9, Batch    329, Loss  0.888592, Average Loss  0.869491, Time  0.448721
2021-09-25 16:43:58.292151 : Epoch  9, Batch    674, Loss  0.867124, Average Loss  0.869702, Time  0.460836
2021-09-25 16:43:59.668877 : Epoch  9, Batch    330, Loss  0.878352, Average Loss  0.869543, Time  0.444714
2021-09-25 16:44:04.342526 : Epoch  9, Batch    675, Loss  0.869250, Average Loss  0.869636, Time  0.444650
2021-09-25 16:44:05.718484 : Epoch  9, Batch    331, Loss  0.850519, Average Loss  0.869417, Time  0.452245
2021-09-25 16:44:10.399330 : Epoch  9, Batch    676, Loss  0.879196, Average Loss  0.869710, Time  0.447302
2021-09-25 16:44:11.762965 : Epoch  9, Batch    332, Loss  0.873162, Average Loss  0.869468, Time  0.447126
2021-09-25 16:44:17.827476 : Epoch  9, Batch    333, Loss  0.878081, Average Loss  0.869527, Time  0.444203
2021-09-25 16:44:23.850559 : Epoch  9, Batch    334, Loss  0.856637, Average Loss  0.869431, Time  0.444230
2021-09-25 16:44:29.872660 : Epoch  9, Batch    335, Loss  0.874110, Average Loss  0.869426, Time  0.444314
2021-09-25 16:44:35.915744 : Epoch  9, Batch    336, Loss  0.864855, Average Loss  0.869492, Time  0.444023
2021-09-25 16:44:41.955999 : Epoch  9, Batch    337, Loss  0.862235, Average Loss  0.869378, Time  0.446817
2021-09-25 16:44:47.989248 : Epoch  9, Batch    338, Loss  0.865688, Average Loss  0.869388, Time  0.444912
2021-09-25 16:44:54.025799 : Epoch  9, Batch    339, Loss  0.880867, Average Loss  0.869432, Time  0.450841
2021-09-25 16:45:00.048671 : Epoch  9, Batch    340, Loss  0.860346, Average Loss  0.869339, Time  0.444275
2021-09-25 16:45:06.090981 : Epoch  9, Batch    341, Loss  0.872880, Average Loss  0.869292, Time  0.444739
2021-09-25 16:45:12.131773 : Epoch  9, Batch    342, Loss  0.862733, Average Loss  0.869206, Time  0.444148
2021-09-25 16:45:18.150394 : Epoch  9, Batch    343, Loss  0.848783, Average Loss  0.869148, Time  0.444627
2021-09-25 16:45:24.187918 : Epoch  9, Batch    344, Loss  0.865906, Average Loss  0.869132, Time  0.450913
2021-09-25 16:45:30.210656 : Epoch  9, Batch    345, Loss  0.852778, Average Loss  0.869024, Time  0.444001
2021-09-25 16:45:36.276412 : Epoch  9, Batch    346, Loss  0.853935, Average Loss  0.868827, Time  0.458943
2021-09-25 16:45:42.297406 : Epoch  9, Batch    347, Loss  0.858108, Average Loss  0.868865, Time  0.448063
2021-09-25 16:45:48.315100 : Epoch  9, Batch    348, Loss  0.876678, Average Loss  0.868877, Time  0.445544
2021-09-25 16:45:54.361154 : Epoch  9, Batch    349, Loss  0.864368, Average Loss  0.868785, Time  0.445695
2021-09-25 16:46:00.406727 : Epoch  9, Batch    350, Loss  0.859711, Average Loss  0.868630, Time  0.445333
2021-09-25 16:46:06.416992 : Epoch  9, Batch    351, Loss  0.860863, Average Loss  0.868594, Time  0.443857
2021-09-25 16:46:12.447743 : Epoch  9, Batch    352, Loss  0.877181, Average Loss  0.868675, Time  0.445531
2021-09-25 16:46:18.477133 : Epoch  9, Batch    353, Loss  0.854156, Average Loss  0.868597, Time  0.443810
2021-09-25 16:46:24.509120 : Epoch  9, Batch    354, Loss  0.864089, Average Loss  0.868536, Time  0.460706
2021-09-25 16:46:30.536559 : Epoch  9, Batch    355, Loss  0.869444, Average Loss  0.868558, Time  0.444719
2021-09-25 16:46:36.567521 : Epoch  9, Batch    356, Loss  0.871417, Average Loss  0.868520, Time  0.445030
2021-09-25 16:46:42.584370 : Epoch  9, Batch    357, Loss  0.870316, Average Loss  0.868526, Time  0.444712
2021-09-25 16:46:48.605075 : Epoch  9, Batch    358, Loss  0.871340, Average Loss  0.868593, Time  0.447874
2021-09-25 16:46:54.630846 : Epoch  9, Batch    359, Loss  0.867894, Average Loss  0.868562, Time  0.444168
2021-09-25 16:47:00.662740 : Epoch  9, Batch    360, Loss  0.877907, Average Loss  0.868565, Time  0.446295
2021-09-25 16:47:06.706151 : Epoch  9, Batch    361, Loss  0.850508, Average Loss  0.868468, Time  0.459308
2021-09-25 16:47:12.757443 : Epoch  9, Batch    362, Loss  0.860948, Average Loss  0.868488, Time  0.443856
2021-09-25 16:47:18.778822 : Epoch  9, Batch    363, Loss  0.863668, Average Loss  0.868514, Time  0.444900
2021-09-25 16:47:24.804994 : Epoch  9, Batch    364, Loss  0.881157, Average Loss  0.868514, Time  0.449296
2021-09-25 16:47:30.846598 : Epoch  9, Batch    365, Loss  0.848251, Average Loss  0.868450, Time  0.444803
2021-09-25 16:47:36.874794 : Epoch  9, Batch    366, Loss  0.871742, Average Loss  0.868466, Time  0.449530
2021-09-25 16:47:42.908900 : Epoch  9, Batch    367, Loss  0.865332, Average Loss  0.868410, Time  0.444823
2021-09-25 16:47:48.933200 : Epoch  9, Batch    368, Loss  0.870849, Average Loss  0.868440, Time  0.449304
2021-09-25 16:47:54.973952 : Epoch  9, Batch    369, Loss  0.876433, Average Loss  0.868426, Time  0.460832
2021-09-25 16:48:01.019531 : Epoch  9, Batch    370, Loss  0.859972, Average Loss  0.868348, Time  0.444511
2021-09-25 16:48:07.054749 : Epoch  9, Batch    371, Loss  0.874808, Average Loss  0.868311, Time  0.446694
2021-09-25 16:48:13.100246 : Epoch  9, Batch    372, Loss  0.875683, Average Loss  0.868332, Time  0.444044
2021-09-25 16:48:19.108025 : Epoch  9, Batch    373, Loss  0.864965, Average Loss  0.868281, Time  0.443696
2021-09-25 16:48:25.127228 : Epoch  9, Batch    374, Loss  0.857744, Average Loss  0.868230, Time  0.443833
2021-09-25 16:48:31.142558 : Epoch  9, Batch    375, Loss  0.865317, Average Loss  0.868201, Time  0.443889
2021-09-25 16:48:37.177875 : Epoch  9, Batch    376, Loss  0.866469, Average Loss  0.868145, Time  0.461798
2021-09-25 16:48:55.661357 : CheckPoint: Validation Loss  0.00015403, Best Loss  0.00014749
2021-09-25 16:49:01.747579 : Epoch  9, Batch    677, Loss  0.865947, Average Loss  0.869712, Time  0.446559
2021-09-25 16:49:07.827886 : Epoch  9, Batch    678, Loss  0.886523, Average Loss  0.869801, Time  0.445475
2021-09-25 16:49:13.886815 : Epoch  9, Batch    679, Loss  0.870612, Average Loss  0.869786, Time  0.447165
2021-09-25 16:49:19.977110 : Epoch  9, Batch    680, Loss  0.876957, Average Loss  0.869789, Time  0.456741
2021-09-25 16:49:26.076427 : Epoch  9, Batch    681, Loss  0.883307, Average Loss  0.869803, Time  0.444927
2021-09-25 16:49:32.167809 : Epoch  9, Batch    682, Loss  0.858279, Average Loss  0.869800, Time  0.445455
2021-09-25 16:49:38.248218 : Epoch  9, Batch    683, Loss  0.871366, Average Loss  0.869831, Time  0.447487
2021-09-25 16:49:44.313801 : Epoch  9, Batch    684, Loss  0.859337, Average Loss  0.869699, Time  0.444936
2021-09-25 16:49:50.412795 : Epoch  9, Batch    685, Loss  0.877581, Average Loss  0.869752, Time  0.445880
2021-09-25 16:49:56.509995 : Epoch  9, Batch    686, Loss  0.857824, Average Loss  0.869629, Time  0.445239
2021-09-25 16:50:02.604643 : Epoch  9, Batch    687, Loss  0.876287, Average Loss  0.869646, Time  0.460146
2021-09-25 16:50:08.688881 : Epoch  9, Batch    688, Loss  0.871964, Average Loss  0.869649, Time  0.445001
2021-09-25 16:50:14.749862 : Epoch  9, Batch    689, Loss  0.867685, Average Loss  0.869653, Time  0.447029
2021-09-25 16:50:20.810293 : Epoch  9, Batch    690, Loss  0.860984, Average Loss  0.869641, Time  0.447257
2021-09-25 16:50:26.899048 : Epoch  9, Batch    691, Loss  0.875135, Average Loss  0.869673, Time  0.445283
2021-09-25 16:50:32.958722 : Epoch  9, Batch    692, Loss  0.884755, Average Loss  0.869734, Time  0.445214
2021-09-25 16:50:39.045750 : Epoch  9, Batch    693, Loss  0.867174, Average Loss  0.869678, Time  0.446400
2021-09-25 16:50:45.127429 : Epoch  9, Batch    694, Loss  0.871234, Average Loss  0.869716, Time  0.445303
2021-09-25 16:50:51.246429 : Epoch  9, Batch    695, Loss  0.879231, Average Loss  0.869732, Time  0.462981
2021-09-25 16:50:57.318866 : Epoch  9, Batch    696, Loss  0.869662, Average Loss  0.869748, Time  0.445020
2021-09-25 16:51:03.388920 : Epoch  9, Batch    697, Loss  0.872554, Average Loss  0.869728, Time  0.444797
2021-09-25 16:51:09.460381 : Epoch  9, Batch    698, Loss  0.866671, Average Loss  0.869738, Time  0.447129
2021-09-25 16:51:15.530382 : Epoch  9, Batch    699, Loss  0.880112, Average Loss  0.869796, Time  0.444687
2021-09-25 16:51:21.623856 : Epoch  9, Batch    700, Loss  0.873634, Average Loss  0.869788, Time  0.445361
2021-09-25 16:51:27.693881 : Epoch  9, Batch    701, Loss  0.869853, Average Loss  0.869805, Time  0.444341
2021-09-25 16:51:33.756984 : Epoch  9, Batch    702, Loss  0.870140, Average Loss  0.869846, Time  0.460474
2021-09-25 16:51:39.837886 : Epoch  9, Batch    703, Loss  0.874356, Average Loss  0.869893, Time  0.447473
2021-09-25 16:51:45.926216 : Epoch  9, Batch    704, Loss  0.873549, Average Loss  0.869880, Time  0.449277
2021-09-25 16:51:51.982735 : Epoch  9, Batch    705, Loss  0.874971, Average Loss  0.870072, Time  0.444514
2021-09-25 16:51:58.065032 : Epoch  9, Batch    706, Loss  0.875049, Average Loss  0.870156, Time  0.446115
2021-09-25 16:52:04.164956 : Epoch  9, Batch    707, Loss  0.874269, Average Loss  0.870118, Time  0.445552
2021-09-25 16:52:10.236627 : Epoch  9, Batch    708, Loss  0.877073, Average Loss  0.870195, Time  0.444484
2021-09-25 16:52:16.311210 : Epoch  9, Batch    709, Loss  0.871346, Average Loss  0.870203, Time  0.454937
2021-09-25 16:52:22.390382 : Epoch  9, Batch    710, Loss  0.863185, Average Loss  0.870218, Time  0.458583
2021-09-25 16:52:28.460139 : Epoch  9, Batch    711, Loss  0.872118, Average Loss  0.870240, Time  0.444995
2021-09-25 16:52:34.534048 : Epoch  9, Batch    712, Loss  0.871848, Average Loss  0.870215, Time  0.444551
2021-09-25 16:52:40.599187 : Epoch  9, Batch    713, Loss  0.854583, Average Loss  0.870151, Time  0.444687
2021-09-25 16:52:46.678868 : Epoch  9, Batch    714, Loss  0.863251, Average Loss  0.870119, Time  0.444711
2021-09-25 16:52:52.755020 : Epoch  9, Batch    715, Loss  0.860554, Average Loss  0.870103, Time  0.445087
2021-09-25 16:52:58.811762 : Epoch  9, Batch    716, Loss  0.882001, Average Loss  0.870097, Time  0.446004
2021-09-25 16:53:04.882782 : Epoch  9, Batch    717, Loss  0.880599, Average Loss  0.870142, Time  0.454986
2021-09-25 16:53:10.939527 : Epoch  9, Batch    718, Loss  0.865125, Average Loss  0.870108, Time  0.448324
2021-09-25 16:53:17.010152 : Epoch  9, Batch    719, Loss  0.869406, Average Loss  0.870137, Time  0.444401
2021-09-25 16:53:23.083548 : Epoch  9, Batch    720, Loss  0.867571, Average Loss  0.870101, Time  0.445697
2021-09-25 16:53:23.288261 : CheckPoint: Validation Loss  0.00015174, Best Loss  0.00014737
2021-09-25 16:53:29.179609 : Epoch  9, Batch    721, Loss  0.877184, Average Loss  0.870082, Time  0.447639
2021-09-25 16:53:29.324677 : Epoch  9, Batch    377, Loss  0.872382, Average Loss  0.868179, Time  0.444540
2021-09-25 16:53:35.270007 : Epoch  9, Batch    722, Loss  0.887801, Average Loss  0.870170, Time  0.447362
2021-09-25 16:53:35.342268 : Epoch  9, Batch    378, Loss  0.856017, Average Loss  0.868077, Time  0.444572
2021-09-25 16:53:41.326685 : Epoch  9, Batch    379, Loss  0.871850, Average Loss  0.868107, Time  0.444371
2021-09-25 16:53:41.349737 : Epoch  9, Batch    723, Loss  0.873408, Average Loss  0.870279, Time  0.447613
2021-09-25 16:53:47.323600 : Epoch  9, Batch    380, Loss  0.883840, Average Loss  0.868162, Time  0.445832
2021-09-25 16:53:47.412311 : Epoch  9, Batch    724, Loss  0.879925, Average Loss  0.870351, Time  0.449346
2021-09-25 16:53:53.363558 : Epoch  9, Batch    381, Loss  0.859670, Average Loss  0.868157, Time  0.451284
2021-09-25 16:53:53.488988 : Epoch  9, Batch    725, Loss  0.868446, Average Loss  0.870327, Time  0.459092
2021-09-25 16:53:59.396475 : Epoch  9, Batch    382, Loss  0.860033, Average Loss  0.868047, Time  0.461466
2021-09-25 16:53:59.553809 : Epoch  9, Batch    726, Loss  0.853496, Average Loss  0.870336, Time  0.446396
2021-09-25 16:54:05.446681 : Epoch  9, Batch    383, Loss  0.879179, Average Loss  0.868029, Time  0.444575
2021-09-25 16:54:05.610733 : Epoch  9, Batch    727, Loss  0.872742, Average Loss  0.870397, Time  0.446279
2021-09-25 16:54:11.459809 : Epoch  9, Batch    384, Loss  0.871784, Average Loss  0.868120, Time  0.443784
2021-09-25 16:54:11.689017 : Epoch  9, Batch    728, Loss  0.871507, Average Loss  0.870347, Time  0.451033
2021-09-25 16:54:17.488259 : Epoch  9, Batch    385, Loss  0.857647, Average Loss  0.868046, Time  0.444124
2021-09-25 16:54:17.751627 : Epoch  9, Batch    729, Loss  0.861538, Average Loss  0.870217, Time  0.445269
2021-09-25 16:54:23.519313 : Epoch  9, Batch    386, Loss  0.869105, Average Loss  0.868030, Time  0.444260
2021-09-25 16:54:23.850541 : Epoch  9, Batch    730, Loss  0.896148, Average Loss  0.870362, Time  0.447198
2021-09-25 16:54:29.536374 : Epoch  9, Batch    387, Loss  0.865611, Average Loss  0.867989, Time  0.444495
2021-09-25 16:54:29.904861 : Epoch  9, Batch    731, Loss  0.858115, Average Loss  0.870379, Time  0.446489
2021-09-25 16:54:35.554989 : Epoch  9, Batch    388, Loss  0.869608, Average Loss  0.868028, Time  0.443868
2021-09-25 16:54:35.970861 : Epoch  9, Batch    732, Loss  0.857988, Average Loss  0.870261, Time  0.454494
2021-09-25 16:54:41.554366 : Epoch  9, Batch    389, Loss  0.864298, Average Loss  0.867952, Time  0.445017
2021-09-25 16:54:42.026262 : Epoch  9, Batch    733, Loss  0.873434, Average Loss  0.870326, Time  0.447659
2021-09-25 16:54:47.596443 : Epoch  9, Batch    390, Loss  0.869123, Average Loss  0.867936, Time  0.455106
2021-09-25 16:54:48.104833 : Epoch  9, Batch    734, Loss  0.875722, Average Loss  0.870386, Time  0.444941
2021-09-25 16:54:53.625517 : Epoch  9, Batch    391, Loss  0.866560, Average Loss  0.867872, Time  0.445755
2021-09-25 16:54:54.175086 : Epoch  9, Batch    735, Loss  0.860179, Average Loss  0.870374, Time  0.444884
2021-09-25 16:54:59.651569 : Epoch  9, Batch    392, Loss  0.861278, Average Loss  0.867813, Time  0.448958
2021-09-25 16:55:00.256508 : Epoch  9, Batch    736, Loss  0.870289, Average Loss  0.870351, Time  0.444673
2021-09-25 16:55:05.669346 : Epoch  9, Batch    393, Loss  0.860519, Average Loss  0.867818, Time  0.449328
2021-09-25 16:55:06.294948 : Epoch  9, Batch    737, Loss  0.859843, Average Loss  0.870313, Time  0.446504
2021-09-25 16:55:11.679867 : Epoch  9, Batch    394, Loss  0.871849, Average Loss  0.867841, Time  0.444717
2021-09-25 16:55:12.338943 : Epoch  9, Batch    738, Loss  0.882405, Average Loss  0.870316, Time  0.445150
2021-09-25 16:55:17.703471 : Epoch  9, Batch    395, Loss  0.868198, Average Loss  0.867822, Time  0.446543
2021-09-25 16:55:18.383211 : Epoch  9, Batch    739, Loss  0.869654, Average Loss  0.870271, Time  0.446979
2021-09-25 16:55:23.721875 : Epoch  9, Batch    396, Loss  0.862587, Average Loss  0.867730, Time  0.445805
2021-09-25 16:55:24.475333 : Epoch  9, Batch    740, Loss  0.875780, Average Loss  0.870248, Time  0.459577
2021-09-25 16:55:29.744843 : Epoch  9, Batch    397, Loss  0.859347, Average Loss  0.867601, Time  0.453032
2021-09-25 16:55:30.534569 : Epoch  9, Batch    741, Loss  0.864695, Average Loss  0.870289, Time  0.445805
2021-09-25 16:55:35.788917 : Epoch  9, Batch    398, Loss  0.871198, Average Loss  0.867665, Time  0.444108
2021-09-25 16:55:36.587261 : Epoch  9, Batch    742, Loss  0.873732, Average Loss  0.870384, Time  0.445490
2021-09-25 16:55:41.814223 : Epoch  9, Batch    399, Loss  0.866325, Average Loss  0.867643, Time  0.444044
2021-09-25 16:55:42.664784 : Epoch  9, Batch    743, Loss  0.877818, Average Loss  0.870450, Time  0.445603
2021-09-25 16:55:47.840766 : Epoch  9, Batch    400, Loss  0.871236, Average Loss  0.867693, Time  0.445497
2021-09-25 16:55:48.726613 : Epoch  9, Batch    744, Loss  0.862389, Average Loss  0.870371, Time  0.444868
2021-09-25 16:55:53.865197 : Epoch  9, Batch    401, Loss  0.870737, Average Loss  0.867714, Time  0.444241
2021-09-25 16:55:54.779315 : Epoch  9, Batch    745, Loss  0.868033, Average Loss  0.870349, Time  0.445590
2021-09-25 16:55:59.900216 : Epoch  9, Batch    402, Loss  0.867360, Average Loss  0.867778, Time  0.445091
2021-09-25 16:56:00.839859 : Epoch  9, Batch    746, Loss  0.873145, Average Loss  0.870365, Time  0.445536
2021-09-25 16:56:05.942655 : Epoch  9, Batch    403, Loss  0.856711, Average Loss  0.867672, Time  0.444588
2021-09-25 16:56:06.933913 : Epoch  9, Batch    747, Loss  0.874896, Average Loss  0.870384, Time  0.460387
2021-09-25 16:56:11.969063 : Epoch  9, Batch    404, Loss  0.858697, Average Loss  0.867636, Time  0.444576
2021-09-25 16:56:13.012802 : Epoch  9, Batch    748, Loss  0.867546, Average Loss  0.870443, Time  0.454138
2021-09-25 16:56:18.003013 : Epoch  9, Batch    405, Loss  0.878515, Average Loss  0.867670, Time  0.456632
2021-09-25 16:56:19.083494 : Epoch  9, Batch    749, Loss  0.856151, Average Loss  0.870361, Time  0.448004
2021-09-25 16:56:24.012388 : Epoch  9, Batch    406, Loss  0.876947, Average Loss  0.867793, Time  0.443989
2021-09-25 16:56:25.146872 : Epoch  9, Batch    750, Loss  0.858885, Average Loss  0.870303, Time  0.445297
2021-09-25 16:56:30.055811 : Epoch  9, Batch    407, Loss  0.868614, Average Loss  0.867816, Time  0.443437
2021-09-25 16:56:31.238701 : Epoch  9, Batch    751, Loss  0.863268, Average Loss  0.870266, Time  0.444990
2021-09-25 16:56:36.091035 : Epoch  9, Batch    408, Loss  0.868637, Average Loss  0.867770, Time  0.444457
2021-09-25 16:56:37.320660 : Epoch  9, Batch    752, Loss  0.880224, Average Loss  0.870225, Time  0.446861
2021-09-25 16:56:42.114779 : Epoch  9, Batch    409, Loss  0.859299, Average Loss  0.867608, Time  0.445462
2021-09-25 16:56:43.399888 : Epoch  9, Batch    753, Loss  0.862358, Average Loss  0.870269, Time  0.444682
2021-09-25 16:56:48.150292 : Epoch  9, Batch    410, Loss  0.859608, Average Loss  0.867584, Time  0.445966
2021-09-25 16:56:49.471783 : Epoch  9, Batch    754, Loss  0.874606, Average Loss  0.870321, Time  0.444841
2021-09-25 16:56:54.182888 : Epoch  9, Batch    411, Loss  0.868282, Average Loss  0.867670, Time  0.448283
2021-09-25 16:56:55.572790 : Epoch  9, Batch    755, Loss  0.884565, Average Loss  0.870370, Time  0.462749
2021-09-25 16:57:00.227563 : Epoch  9, Batch    412, Loss  0.865350, Average Loss  0.867662, Time  0.462449
2021-09-25 16:57:01.660988 : Epoch  9, Batch    756, Loss  0.863949, Average Loss  0.870339, Time  0.445455
2021-09-25 16:57:06.242690 : Epoch  9, Batch    413, Loss  0.879331, Average Loss  0.867736, Time  0.444794
2021-09-25 16:57:07.735837 : Epoch  9, Batch    757, Loss  0.850441, Average Loss  0.870268, Time  0.445019
2021-09-25 16:57:12.284060 : Epoch  9, Batch    414, Loss  0.874567, Average Loss  0.867761, Time  0.444851
2021-09-25 16:57:13.811269 : Epoch  9, Batch    758, Loss  0.859303, Average Loss  0.870205, Time  0.446567
2021-09-25 16:57:18.302973 : Epoch  9, Batch    415, Loss  0.878544, Average Loss  0.867714, Time  0.445802
2021-09-25 16:57:19.889729 : Epoch  9, Batch    759, Loss  0.875551, Average Loss  0.870311, Time  0.449028
2021-09-25 16:57:24.339686 : Epoch  9, Batch    416, Loss  0.878889, Average Loss  0.867847, Time  0.444205
2021-09-25 16:57:25.981086 : Epoch  9, Batch    760, Loss  0.880457, Average Loss  0.870371, Time  0.446727
2021-09-25 16:57:30.376976 : Epoch  9, Batch    417, Loss  0.857035, Average Loss  0.867758, Time  0.445985
2021-09-25 16:57:32.066408 : Epoch  9, Batch    761, Loss  0.857412, Average Loss  0.870330, Time  0.446421
2021-09-25 16:57:36.411286 : Epoch  9, Batch    418, Loss  0.871399, Average Loss  0.867747, Time  0.444470
2021-09-25 16:57:38.152571 : Epoch  9, Batch    762, Loss  0.866899, Average Loss  0.870278, Time  0.452443
2021-09-25 16:57:42.433640 : Epoch  9, Batch    419, Loss  0.865596, Average Loss  0.867750, Time  0.443459
2021-09-25 16:57:44.202649 : Epoch  9, Batch    763, Loss  0.864576, Average Loss  0.870166, Time  0.445305
2021-09-25 16:57:48.461731 : Epoch  9, Batch    420, Loss  0.879423, Average Loss  0.867784, Time  0.451266
2021-09-25 16:57:50.268101 : Epoch  9, Batch    764, Loss  0.861534, Average Loss  0.870122, Time  0.445271
2021-09-25 16:57:54.485168 : Epoch  9, Batch    421, Loss  0.861519, Average Loss  0.867726, Time  0.444420
2021-09-25 16:57:56.348791 : Epoch  9, Batch    765, Loss  0.876481, Average Loss  0.870135, Time  0.444670
2021-09-25 16:58:00.523133 : Epoch  9, Batch    422, Loss  0.875456, Average Loss  0.867723, Time  0.443880
2021-09-25 16:58:02.426269 : Epoch  9, Batch    766, Loss  0.862741, Average Loss  0.870004, Time  0.451856
2021-09-25 16:58:06.546669 : Epoch  9, Batch    423, Loss  0.870060, Average Loss  0.867713, Time  0.443757
2021-09-25 16:58:08.494866 : Epoch  9, Batch    767, Loss  0.860386, Average Loss  0.869974, Time  0.445453
2021-09-25 16:58:12.582321 : Epoch  9, Batch    424, Loss  0.889923, Average Loss  0.867832, Time  0.444024
2021-09-25 16:58:14.589647 : Epoch  9, Batch    768, Loss  0.870523, Average Loss  0.869975, Time  0.445264
2021-09-25 16:58:18.619768 : Epoch  9, Batch    425, Loss  0.871349, Average Loss  0.867831, Time  0.444649
2021-09-25 16:58:20.671190 : Epoch  9, Batch    769, Loss  0.875334, Average Loss  0.869949, Time  0.447555
2021-09-25 16:58:24.636982 : Epoch  9, Batch    426, Loss  0.872004, Average Loss  0.867819, Time  0.447400
2021-09-25 16:58:26.756407 : Epoch  9, Batch    770, Loss  0.852922, Average Loss  0.869940, Time  0.455233
2021-09-25 16:58:30.679717 : Epoch  9, Batch    427, Loss  0.859756, Average Loss  0.867788, Time  0.456857
2021-09-25 16:58:32.839465 : Epoch  9, Batch    771, Loss  0.871187, Average Loss  0.869995, Time  0.445477
2021-09-25 16:58:36.737030 : Epoch  9, Batch    428, Loss  0.870595, Average Loss  0.867760, Time  0.446188
2021-09-25 16:58:38.927767 : Epoch  9, Batch    772, Loss  0.869782, Average Loss  0.869949, Time  0.444768
2021-09-25 16:58:42.765940 : Epoch  9, Batch    429, Loss  0.866113, Average Loss  0.867774, Time  0.444504
2021-09-25 16:58:45.019721 : Epoch  9, Batch    773, Loss  0.857338, Average Loss  0.869836, Time  0.445771
2021-09-25 16:58:48.790824 : Epoch  9, Batch    430, Loss  0.872864, Average Loss  0.867818, Time  0.445204
2021-09-25 16:58:51.098178 : Epoch  9, Batch    774, Loss  0.848226, Average Loss  0.869749, Time  0.446625
2021-09-25 16:58:54.828434 : Epoch  9, Batch    431, Loss  0.867061, Average Loss  0.867747, Time  0.445687
2021-09-25 16:58:57.183210 : Epoch  9, Batch    775, Loss  0.854633, Average Loss  0.869611, Time  0.445388
2021-09-25 16:59:00.854276 : Epoch  9, Batch    432, Loss  0.865447, Average Loss  0.867690, Time  0.446958
2021-09-25 16:59:03.263861 : Epoch  9, Batch    776, Loss  0.884747, Average Loss  0.869709, Time  0.446136
2021-09-25 16:59:06.904524 : Epoch  9, Batch    433, Loss  0.869832, Average Loss  0.867717, Time  0.447265
2021-09-25 16:59:12.960785 : Epoch  9, Batch    434, Loss  0.864217, Average Loss  0.867717, Time  0.446227
2021-09-25 16:59:18.998552 : Epoch  9, Batch    435, Loss  0.857981, Average Loss  0.867657, Time  0.453964
2021-09-25 16:59:25.026867 : Epoch  9, Batch    436, Loss  0.861764, Average Loss  0.867642, Time  0.444228
2021-09-25 16:59:31.074964 : Epoch  9, Batch    437, Loss  0.868464, Average Loss  0.867646, Time  0.444483
2021-09-25 16:59:37.120796 : Epoch  9, Batch    438, Loss  0.871818, Average Loss  0.867615, Time  0.449066
2021-09-25 16:59:43.173753 : Epoch  9, Batch    439, Loss  0.864299, Average Loss  0.867622, Time  0.446778
2021-09-25 16:59:49.193601 : Epoch  9, Batch    440, Loss  0.875996, Average Loss  0.867701, Time  0.444263
2021-09-25 16:59:55.225785 : Epoch  9, Batch    441, Loss  0.884117, Average Loss  0.867781, Time  0.444076
2021-09-25 17:00:01.278203 : Epoch  9, Batch    442, Loss  0.873787, Average Loss  0.867758, Time  0.455549
2021-09-25 17:00:07.313627 : Epoch  9, Batch    443, Loss  0.880018, Average Loss  0.867809, Time  0.449381
2021-09-25 17:00:13.323378 : Epoch  9, Batch    444, Loss  0.868438, Average Loss  0.867780, Time  0.445330
2021-09-25 17:00:19.387830 : Epoch  9, Batch    445, Loss  0.877355, Average Loss  0.867750, Time  0.444512
2021-09-25 17:00:25.408139 : Epoch  9, Batch    446, Loss  0.865735, Average Loss  0.867713, Time  0.444374
2021-09-25 17:00:31.457547 : Epoch  9, Batch    447, Loss  0.876429, Average Loss  0.867740, Time  0.445764
2021-09-25 17:00:37.494293 : Epoch  9, Batch    448, Loss  0.847603, Average Loss  0.867632, Time  0.448039
2021-09-25 17:00:43.531018 : Epoch  9, Batch    449, Loss  0.882003, Average Loss  0.867670, Time  0.444861
2021-09-25 17:00:49.567869 : Epoch  9, Batch    450, Loss  0.867918, Average Loss  0.867690, Time  0.456118
2021-09-25 17:00:55.585494 : Epoch  9, Batch    451, Loss  0.865826, Average Loss  0.867630, Time  0.443694
2021-09-25 17:01:01.595532 : Epoch  9, Batch    452, Loss  0.863821, Average Loss  0.867619, Time  0.444670
2021-09-25 17:01:07.637653 : Epoch  9, Batch    453, Loss  0.863875, Average Loss  0.867568, Time  0.447757
2021-09-25 17:01:13.664649 : Epoch  9, Batch    454, Loss  0.869265, Average Loss  0.867613, Time  0.446420
2021-09-25 17:01:19.701420 : Epoch  9, Batch    455, Loss  0.882879, Average Loss  0.867662, Time  0.447037
2021-09-25 17:01:25.736922 : Epoch  9, Batch    456, Loss  0.876032, Average Loss  0.867692, Time  0.443568
2021-09-25 17:01:31.798867 : Epoch  9, Batch    457, Loss  0.884994, Average Loss  0.867751, Time  0.458983
2021-09-25 17:01:37.828883 : Epoch  9, Batch    458, Loss  0.871857, Average Loss  0.867638, Time  0.445012
2021-09-25 17:01:43.875878 : Epoch  9, Batch    459, Loss  0.868182, Average Loss  0.867655, Time  0.444266
2021-09-25 17:01:49.907927 : Epoch  9, Batch    460, Loss  0.870526, Average Loss  0.867680, Time  0.444710
2021-09-25 17:01:55.938849 : Epoch  9, Batch    461, Loss  0.887781, Average Loss  0.867802, Time  0.445423
2021-09-25 17:02:01.974840 : Epoch  9, Batch    462, Loss  0.871323, Average Loss  0.867779, Time  0.443982
2021-09-25 17:02:08.016126 : Epoch  9, Batch    463, Loss  0.875218, Average Loss  0.867780, Time  0.444292
2021-09-25 17:02:14.049011 : Epoch  9, Batch    464, Loss  0.867952, Average Loss  0.867770, Time  0.455037
2021-09-25 17:02:20.119379 : Epoch  9, Batch    465, Loss  0.863999, Average Loss  0.867775, Time  0.461603
2021-09-25 17:02:26.154518 : Epoch  9, Batch    466, Loss  0.865647, Average Loss  0.867795, Time  0.444693
2021-09-25 17:02:32.163693 : Epoch  9, Batch    467, Loss  0.866758, Average Loss  0.867734, Time  0.444416
2021-09-25 17:02:38.199495 : Epoch  9, Batch    468, Loss  0.875328, Average Loss  0.867779, Time  0.446363
2021-09-25 17:02:44.222649 : Epoch  9, Batch    469, Loss  0.871086, Average Loss  0.867736, Time  0.444977
2021-09-25 17:02:50.248806 : Epoch  9, Batch    470, Loss  0.875361, Average Loss  0.867731, Time  0.445252
2021-09-25 17:02:56.282128 : Epoch  9, Batch    471, Loss  0.868920, Average Loss  0.867723, Time  0.443851
2021-09-25 17:03:02.361795 : Epoch  9, Batch    472, Loss  0.884796, Average Loss  0.867733, Time  0.463102
2021-09-25 17:03:08.399717 : Epoch  9, Batch    473, Loss  0.872383, Average Loss  0.867757, Time  0.443521
2021-09-25 17:03:14.431178 : Epoch  9, Batch    474, Loss  0.871995, Average Loss  0.867791, Time  0.443231
2021-09-25 17:03:20.460619 : Epoch  9, Batch    475, Loss  0.869348, Average Loss  0.867780, Time  0.447592
2021-09-25 17:03:26.496989 : Epoch  9, Batch    476, Loss  0.874937, Average Loss  0.867819, Time  0.443875
2021-09-25 17:03:48.356294 : CheckPoint: Validation Loss  0.00015075, Best Loss  0.00014749
2021-09-25 17:03:54.416713 : Epoch  9, Batch    777, Loss  0.873165, Average Loss  0.869771, Time  0.450724
2021-09-25 17:04:00.464273 : Epoch  9, Batch    778, Loss  0.885740, Average Loss  0.869767, Time  0.445143
2021-09-25 17:04:06.505820 : Epoch  9, Batch    779, Loss  0.850143, Average Loss  0.869686, Time  0.445519
2021-09-25 17:04:12.562429 : Epoch  9, Batch    780, Loss  0.855521, Average Loss  0.869527, Time  0.446006
2021-09-25 17:04:18.606786 : Epoch  9, Batch    781, Loss  0.881759, Average Loss  0.869578, Time  0.447186
2021-09-25 17:04:24.660846 : Epoch  9, Batch    782, Loss  0.874238, Average Loss  0.869594, Time  0.448207
2021-09-25 17:04:30.718399 : Epoch  9, Batch    783, Loss  0.870069, Average Loss  0.869601, Time  0.457169
2021-09-25 17:04:36.774731 : Epoch  9, Batch    784, Loss  0.878886, Average Loss  0.869661, Time  0.446041
2021-09-25 17:04:42.815322 : Epoch  9, Batch    785, Loss  0.872415, Average Loss  0.869630, Time  0.445337
2021-09-25 17:04:48.878271 : Epoch  9, Batch    786, Loss  0.878163, Average Loss  0.869687, Time  0.445193
2021-09-25 17:04:54.920448 : Epoch  9, Batch    787, Loss  0.870181, Average Loss  0.869717, Time  0.445163
2021-09-25 17:05:00.957785 : Epoch  9, Batch    788, Loss  0.857756, Average Loss  0.869670, Time  0.445222
2021-09-25 17:05:07.004810 : Epoch  9, Batch    789, Loss  0.859269, Average Loss  0.869553, Time  0.445821
2021-09-25 17:05:13.048557 : Epoch  9, Batch    790, Loss  0.860822, Average Loss  0.869409, Time  0.450692
2021-09-25 17:05:19.093195 : Epoch  9, Batch    791, Loss  0.867796, Average Loss  0.869403, Time  0.455098
2021-09-25 17:05:25.127074 : Epoch  9, Batch    792, Loss  0.884985, Average Loss  0.869430, Time  0.444391
2021-09-25 17:05:31.191767 : Epoch  9, Batch    793, Loss  0.857384, Average Loss  0.869396, Time  0.449759
2021-09-25 17:05:37.228292 : Epoch  9, Batch    794, Loss  0.868197, Average Loss  0.869391, Time  0.447108
2021-09-25 17:05:43.270237 : Epoch  9, Batch    795, Loss  0.865877, Average Loss  0.869363, Time  0.445524
2021-09-25 17:05:49.315804 : Epoch  9, Batch    796, Loss  0.861408, Average Loss  0.869381, Time  0.445510
2021-09-25 17:05:55.366462 : Epoch  9, Batch    797, Loss  0.864212, Average Loss  0.869287, Time  0.445308
2021-09-25 17:06:01.440260 : Epoch  9, Batch    798, Loss  0.873235, Average Loss  0.869336, Time  0.459109
2021-09-25 17:06:07.517544 : Epoch  9, Batch    799, Loss  0.873689, Average Loss  0.869298, Time  0.446253
2021-09-25 17:06:13.569877 : Epoch  9, Batch    800, Loss  0.863537, Average Loss  0.869290, Time  0.446203
2021-09-25 17:06:19.632399 : Epoch  9, Batch    801, Loss  0.860453, Average Loss  0.869280, Time  0.445535
2021-09-25 17:06:25.686547 : Epoch  9, Batch    802, Loss  0.871979, Average Loss  0.869355, Time  0.445242
2021-09-25 17:06:31.726907 : Epoch  9, Batch    803, Loss  0.874672, Average Loss  0.869414, Time  0.448259
2021-09-25 17:06:37.762839 : Epoch  9, Batch    804, Loss  0.867710, Average Loss  0.869412, Time  0.445247
2021-09-25 17:06:43.806773 : Epoch  9, Batch    805, Loss  0.878290, Average Loss  0.869378, Time  0.444649
2021-09-25 17:06:49.880160 : Epoch  9, Batch    806, Loss  0.870182, Average Loss  0.869367, Time  0.463039
2021-09-25 17:06:55.933232 : Epoch  9, Batch    807, Loss  0.886337, Average Loss  0.869470, Time  0.445163
2021-09-25 17:07:01.981318 : Epoch  9, Batch    808, Loss  0.874749, Average Loss  0.869565, Time  0.448626
2021-09-25 17:07:08.039739 : Epoch  9, Batch    809, Loss  0.857456, Average Loss  0.869603, Time  0.447263
2021-09-25 17:07:14.080840 : Epoch  9, Batch    810, Loss  0.855365, Average Loss  0.869466, Time  0.445267
2021-09-25 17:07:20.141987 : Epoch  9, Batch    811, Loss  0.886651, Average Loss  0.869588, Time  0.447158
2021-09-25 17:07:26.216555 : Epoch  9, Batch    812, Loss  0.865372, Average Loss  0.869513, Time  0.445854
2021-09-25 17:07:32.282686 : Epoch  9, Batch    813, Loss  0.884770, Average Loss  0.869583, Time  0.460743
2021-09-25 17:07:38.338696 : Epoch  9, Batch    814, Loss  0.875145, Average Loss  0.869627, Time  0.450399
2021-09-25 17:07:44.384708 : Epoch  9, Batch    815, Loss  0.878580, Average Loss  0.869637, Time  0.447022
2021-09-25 17:07:50.431511 : Epoch  9, Batch    816, Loss  0.883616, Average Loss  0.869610, Time  0.445742
2021-09-25 17:07:56.497923 : Epoch  9, Batch    817, Loss  0.864490, Average Loss  0.869633, Time  0.445937
2021-09-25 17:08:02.537870 : Epoch  9, Batch    818, Loss  0.862008, Average Loss  0.869573, Time  0.446591
2021-09-25 17:08:08.591259 : Epoch  9, Batch    819, Loss  0.856592, Average Loss  0.869478, Time  0.445685
2021-09-25 17:08:13.110942 : CheckPoint: Validation Loss  0.00015117, Best Loss  0.00014737
2021-09-25 17:08:14.676748 : Epoch  9, Batch    820, Loss  0.860863, Average Loss  0.869394, Time  0.456228
2021-09-25 17:08:19.190824 : Epoch  9, Batch    477, Loss  0.884598, Average Loss  0.867954, Time  0.444116
2021-09-25 17:08:20.756792 : Epoch  9, Batch    821, Loss  0.865764, Average Loss  0.869351, Time  0.452075
2021-09-25 17:08:25.232591 : Epoch  9, Batch    478, Loss  0.870542, Average Loss  0.867901, Time  0.462583
2021-09-25 17:08:26.829829 : Epoch  9, Batch    822, Loss  0.878942, Average Loss  0.869316, Time  0.450541
2021-09-25 17:08:31.269137 : Epoch  9, Batch    479, Loss  0.865813, Average Loss  0.867877, Time  0.446110
2021-09-25 17:08:32.874101 : Epoch  9, Batch    823, Loss  0.856965, Average Loss  0.869188, Time  0.447592
2021-09-25 17:08:37.285573 : Epoch  9, Batch    480, Loss  0.861116, Average Loss  0.867848, Time  0.445154
2021-09-25 17:08:38.941570 : Epoch  9, Batch    824, Loss  0.880666, Average Loss  0.869254, Time  0.447244
2021-09-25 17:08:43.306815 : Epoch  9, Batch    481, Loss  0.867789, Average Loss  0.867894, Time  0.446857
2021-09-25 17:08:45.011978 : Epoch  9, Batch    825, Loss  0.877726, Average Loss  0.869375, Time  0.445795
2021-09-25 17:08:49.345053 : Epoch  9, Batch    482, Loss  0.871780, Average Loss  0.867896, Time  0.444678
2021-09-25 17:08:51.087891 : Epoch  9, Batch    826, Loss  0.879530, Average Loss  0.869385, Time  0.446161
2021-09-25 17:08:55.373863 : Epoch  9, Batch    483, Loss  0.868207, Average Loss  0.867967, Time  0.446054
2021-09-25 17:08:57.142164 : Epoch  9, Batch    827, Loss  0.856343, Average Loss  0.869315, Time  0.446952
2021-09-25 17:09:01.403268 : Epoch  9, Batch    484, Loss  0.869258, Average Loss  0.867986, Time  0.453853
2021-09-25 17:09:03.196502 : Epoch  9, Batch    828, Loss  0.873573, Average Loss  0.869326, Time  0.456674
2021-09-25 17:09:07.435817 : Epoch  9, Batch    485, Loss  0.863670, Average Loss  0.867954, Time  0.445542
2021-09-25 17:09:09.253964 : Epoch  9, Batch    829, Loss  0.870662, Average Loss  0.869419, Time  0.445754
2021-09-25 17:09:13.462995 : Epoch  9, Batch    486, Loss  0.850250, Average Loss  0.867865, Time  0.455479
2021-09-25 17:09:15.317477 : Epoch  9, Batch    830, Loss  0.880146, Average Loss  0.869418, Time  0.446260
2021-09-25 17:09:19.486783 : Epoch  9, Batch    487, Loss  0.867572, Average Loss  0.867850, Time  0.444706
2021-09-25 17:09:21.385884 : Epoch  9, Batch    831, Loss  0.867249, Average Loss  0.869451, Time  0.446185
2021-09-25 17:09:25.507233 : Epoch  9, Batch    488, Loss  0.870828, Average Loss  0.867871, Time  0.450066
2021-09-25 17:09:27.428787 : Epoch  9, Batch    832, Loss  0.846036, Average Loss  0.869304, Time  0.444461
2021-09-25 17:09:31.530202 : Epoch  9, Batch    489, Loss  0.855246, Average Loss  0.867762, Time  0.445514
2021-09-25 17:09:33.469452 : Epoch  9, Batch    833, Loss  0.859414, Average Loss  0.869238, Time  0.445286
2021-09-25 17:09:37.559784 : Epoch  9, Batch    490, Loss  0.881480, Average Loss  0.867825, Time  0.444685
2021-09-25 17:09:39.518964 : Epoch  9, Batch    834, Loss  0.869543, Average Loss  0.869231, Time  0.448335
2021-09-25 17:09:43.559203 : Epoch  9, Batch    491, Loss  0.866447, Average Loss  0.867850, Time  0.448710
2021-09-25 17:09:45.562977 : Epoch  9, Batch    835, Loss  0.878281, Average Loss  0.869325, Time  0.449094
2021-09-25 17:09:49.576615 : Epoch  9, Batch    492, Loss  0.868343, Average Loss  0.867915, Time  0.445264
2021-09-25 17:09:51.615908 : Epoch  9, Batch    836, Loss  0.877827, Average Loss  0.869337, Time  0.462574
2021-09-25 17:09:55.595228 : Epoch  9, Batch    493, Loss  0.866341, Average Loss  0.867841, Time  0.450975
2021-09-25 17:09:57.650817 : Epoch  9, Batch    837, Loss  0.876110, Average Loss  0.869392, Time  0.445733
2021-09-25 17:10:01.604559 : Epoch  9, Batch    494, Loss  0.883217, Average Loss  0.867927, Time  0.446691
2021-09-25 17:10:03.715662 : Epoch  9, Batch    838, Loss  0.874072, Average Loss  0.869459, Time  0.444973
2021-09-25 17:10:07.625914 : Epoch  9, Batch    495, Loss  0.876341, Average Loss  0.867959, Time  0.444059
2021-09-25 17:10:09.755352 : Epoch  9, Batch    839, Loss  0.870574, Average Loss  0.869438, Time  0.445782
2021-09-25 17:10:13.645890 : Epoch  9, Batch    496, Loss  0.875423, Average Loss  0.868081, Time  0.444631
2021-09-25 17:10:15.808487 : Epoch  9, Batch    840, Loss  0.870324, Average Loss  0.869443, Time  0.448552
2021-09-25 17:10:19.669629 : Epoch  9, Batch    497, Loss  0.867899, Average Loss  0.868096, Time  0.443403
2021-09-25 17:10:21.847851 : Epoch  9, Batch    841, Loss  0.871799, Average Loss  0.869392, Time  0.444770
2021-09-25 17:10:25.716047 : Epoch  9, Batch    498, Loss  0.883631, Average Loss  0.868116, Time  0.451629
2021-09-25 17:10:27.893097 : Epoch  9, Batch    842, Loss  0.851985, Average Loss  0.869297, Time  0.448973
2021-09-25 17:10:31.739769 : Epoch  9, Batch    499, Loss  0.877579, Average Loss  0.868155, Time  0.444444
2021-09-25 17:10:33.956347 : Epoch  9, Batch    843, Loss  0.860359, Average Loss  0.869230, Time  0.451964
2021-09-25 17:10:37.768178 : Epoch  9, Batch    500, Loss  0.873893, Average Loss  0.868178, Time  0.447127
2021-09-25 17:10:40.011687 : Epoch  9, Batch    844, Loss  0.857513, Average Loss  0.869218, Time  0.449122
2021-09-25 17:10:43.772239 : Epoch  9, Batch    501, Loss  0.880516, Average Loss  0.868228, Time  0.459843
2021-09-25 17:10:46.049434 : Epoch  9, Batch    845, Loss  0.867178, Average Loss  0.869204, Time  0.445091
2021-09-25 17:10:49.774281 : Epoch  9, Batch    502, Loss  0.860197, Average Loss  0.868223, Time  0.444476
2021-09-25 17:10:52.102006 : Epoch  9, Batch    846, Loss  0.875230, Average Loss  0.869206, Time  0.445711
2021-09-25 17:10:55.800222 : Epoch  9, Batch    503, Loss  0.871837, Average Loss  0.868244, Time  0.445364
2021-09-25 17:10:58.147090 : Epoch  9, Batch    847, Loss  0.863472, Average Loss  0.869174, Time  0.444599
2021-09-25 17:11:01.838497 : Epoch  9, Batch    504, Loss  0.873637, Average Loss  0.868277, Time  0.445434
2021-09-25 17:11:04.187607 : Epoch  9, Batch    848, Loss  0.869266, Average Loss  0.869219, Time  0.445385
2021-09-25 17:11:07.871753 : Epoch  9, Batch    505, Loss  0.869004, Average Loss  0.868290, Time  0.446398
2021-09-25 17:11:10.236872 : Epoch  9, Batch    849, Loss  0.865455, Average Loss  0.869147, Time  0.446140
2021-09-25 17:11:13.902798 : Epoch  9, Batch    506, Loss  0.870666, Average Loss  0.868338, Time  0.447440
2021-09-25 17:11:16.266263 : Epoch  9, Batch    850, Loss  0.871008, Average Loss  0.869188, Time  0.445993
2021-09-25 17:11:19.912301 : Epoch  9, Batch    507, Loss  0.871591, Average Loss  0.868347, Time  0.450435
2021-09-25 17:11:22.333566 : Epoch  9, Batch    851, Loss  0.875938, Average Loss  0.869238, Time  0.459676
2021-09-25 17:11:25.959859 : Epoch  9, Batch    508, Loss  0.851487, Average Loss  0.868261, Time  0.457814
2021-09-25 17:11:28.404636 : Epoch  9, Batch    852, Loss  0.883020, Average Loss  0.869259, Time  0.444735
2021-09-25 17:11:31.976043 : Epoch  9, Batch    509, Loss  0.890239, Average Loss  0.868328, Time  0.443460
2021-09-25 17:11:34.442850 : Epoch  9, Batch    853, Loss  0.877388, Average Loss  0.869271, Time  0.444946
2021-09-25 17:11:37.973890 : Epoch  9, Batch    510, Loss  0.864472, Average Loss  0.868245, Time  0.444065
2021-09-25 17:11:40.461939 : Epoch  9, Batch    854, Loss  0.873987, Average Loss  0.869342, Time  0.444724
2021-09-25 17:11:43.986372 : Epoch  9, Batch    511, Loss  0.866500, Average Loss  0.868352, Time  0.445321
2021-09-25 17:11:46.514162 : Epoch  9, Batch    855, Loss  0.878124, Average Loss  0.869448, Time  0.446569
2021-09-25 17:11:50.021043 : Epoch  9, Batch    512, Loss  0.877287, Average Loss  0.868453, Time  0.445911
2021-09-25 17:11:52.561239 : Epoch  9, Batch    856, Loss  0.843579, Average Loss  0.869395, Time  0.445253
2021-09-25 17:11:56.072915 : Epoch  9, Batch    513, Loss  0.869024, Average Loss  0.868503, Time  0.450529
2021-09-25 17:11:58.611473 : Epoch  9, Batch    857, Loss  0.866563, Average Loss  0.869450, Time  0.444844
2021-09-25 17:12:02.096534 : Epoch  9, Batch    514, Loss  0.866196, Average Loss  0.868520, Time  0.446370
2021-09-25 17:12:04.678087 : Epoch  9, Batch    858, Loss  0.860812, Average Loss  0.869469, Time  0.453460
2021-09-25 17:12:08.115679 : Epoch  9, Batch    515, Loss  0.874557, Average Loss  0.868608, Time  0.449123
2021-09-25 17:12:10.737688 : Epoch  9, Batch    859, Loss  0.868978, Average Loss  0.869453, Time  0.445509
2021-09-25 17:12:14.157610 : Epoch  9, Batch    516, Loss  0.868183, Average Loss  0.868611, Time  0.453555
2021-09-25 17:12:16.860116 : Epoch  9, Batch    860, Loss  0.859971, Average Loss  0.869404, Time  0.472010
2021-09-25 17:12:20.206615 : Epoch  9, Batch    517, Loss  0.861850, Average Loss  0.868580, Time  0.444090
2021-09-25 17:12:22.922498 : Epoch  9, Batch    861, Loss  0.843654, Average Loss  0.869292, Time  0.450957
2021-09-25 17:12:26.238593 : Epoch  9, Batch    518, Loss  0.863274, Average Loss  0.868519, Time  0.443828
2021-09-25 17:12:28.977922 : Epoch  9, Batch    862, Loss  0.863575, Average Loss  0.869303, Time  0.445208
2021-09-25 17:12:32.262258 : Epoch  9, Batch    519, Loss  0.864388, Average Loss  0.868576, Time  0.444446
2021-09-25 17:12:35.028881 : Epoch  9, Batch    863, Loss  0.868925, Average Loss  0.869224, Time  0.445979
2021-09-25 17:12:38.294373 : Epoch  9, Batch    520, Loss  0.862118, Average Loss  0.868585, Time  0.443760
2021-09-25 17:12:41.083431 : Epoch  9, Batch    864, Loss  0.874949, Average Loss  0.869299, Time  0.448334
2021-09-25 17:12:44.307419 : Epoch  9, Batch    521, Loss  0.858152, Average Loss  0.868568, Time  0.446117
2021-09-25 17:12:47.126980 : Epoch  9, Batch    865, Loss  0.879170, Average Loss  0.869360, Time  0.444720
2021-09-25 17:12:50.337789 : Epoch  9, Batch    522, Loss  0.874350, Average Loss  0.868738, Time  0.446268
2021-09-25 17:12:53.220378 : Epoch  9, Batch    866, Loss  0.873519, Average Loss  0.869374, Time  0.462439
2021-09-25 17:12:56.368861 : Epoch  9, Batch    523, Loss  0.866182, Average Loss  0.868733, Time  0.455925
2021-09-25 17:12:59.266086 : Epoch  9, Batch    867, Loss  0.863033, Average Loss  0.869397, Time  0.444840
2021-09-25 17:13:02.397489 : Epoch  9, Batch    524, Loss  0.881426, Average Loss  0.868773, Time  0.445606
2021-09-25 17:13:05.317357 : Epoch  9, Batch    868, Loss  0.876114, Average Loss  0.869413, Time  0.446873
2021-09-25 17:13:08.416881 : Epoch  9, Batch    525, Loss  0.862823, Average Loss  0.868776, Time  0.443597
2021-09-25 17:13:11.381826 : Epoch  9, Batch    869, Loss  0.871048, Average Loss  0.869423, Time  0.445251
2021-09-25 17:13:14.448814 : Epoch  9, Batch    526, Loss  0.864954, Average Loss  0.868798, Time  0.445899
2021-09-25 17:13:17.411961 : Epoch  9, Batch    870, Loss  0.878391, Average Loss  0.869457, Time  0.445121
2021-09-25 17:13:20.462788 : Epoch  9, Batch    527, Loss  0.881140, Average Loss  0.868869, Time  0.445531
2021-09-25 17:13:23.456671 : Epoch  9, Batch    871, Loss  0.866134, Average Loss  0.869417, Time  0.444921
2021-09-25 17:13:26.494506 : Epoch  9, Batch    528, Loss  0.877186, Average Loss  0.868955, Time  0.443623
2021-09-25 17:13:29.521047 : Epoch  9, Batch    872, Loss  0.873845, Average Loss  0.869468, Time  0.447451
2021-09-25 17:13:32.537853 : Epoch  9, Batch    529, Loss  0.876295, Average Loss  0.868894, Time  0.446776
2021-09-25 17:13:35.601596 : Epoch  9, Batch    873, Loss  0.880208, Average Loss  0.869556, Time  0.453459
2021-09-25 17:13:38.545614 : Epoch  9, Batch    530, Loss  0.874409, Average Loss  0.868874, Time  0.444207
2021-09-25 17:13:41.624256 : Epoch  9, Batch    874, Loss  0.863120, Average Loss  0.869536, Time  0.445427
2021-09-25 17:13:44.566551 : Epoch  9, Batch    531, Loss  0.876417, Average Loss  0.869004, Time  0.449995
2021-09-25 17:13:47.684256 : Epoch  9, Batch    875, Loss  0.867494, Average Loss  0.869527, Time  0.445235
2021-09-25 17:13:50.597007 : Epoch  9, Batch    532, Loss  0.870948, Average Loss  0.868993, Time  0.446710
2021-09-25 17:13:53.731555 : Epoch  9, Batch    876, Loss  0.881570, Average Loss  0.869539, Time  0.445645
2021-09-25 17:13:56.644772 : Epoch  9, Batch    533, Loss  0.872979, Average Loss  0.868967, Time  0.447452
2021-09-25 17:14:02.693431 : Epoch  9, Batch    534, Loss  0.856461, Average Loss  0.868966, Time  0.447637
2021-09-25 17:14:08.707925 : Epoch  9, Batch    535, Loss  0.875446, Average Loss  0.868973, Time  0.444775
2021-09-25 17:14:14.727969 : Epoch  9, Batch    536, Loss  0.852860, Average Loss  0.868913, Time  0.445905
2021-09-25 17:14:20.762690 : Epoch  9, Batch    537, Loss  0.865024, Average Loss  0.868927, Time  0.446984
2021-09-25 17:14:26.804293 : Epoch  9, Batch    538, Loss  0.882045, Average Loss  0.869009, Time  0.456858
2021-09-25 17:14:32.822888 : Epoch  9, Batch    539, Loss  0.860915, Average Loss  0.868909, Time  0.446447
2021-09-25 17:14:38.844819 : Epoch  9, Batch    540, Loss  0.861613, Average Loss  0.868915, Time  0.443298
2021-09-25 17:14:44.877462 : Epoch  9, Batch    541, Loss  0.880353, Average Loss  0.868953, Time  0.443850
2021-09-25 17:14:50.921814 : Epoch  9, Batch    542, Loss  0.867056, Average Loss  0.868974, Time  0.444122
2021-09-25 17:14:56.944698 : Epoch  9, Batch    543, Loss  0.866904, Average Loss  0.869065, Time  0.444962
2021-09-25 17:15:02.994236 : Epoch  9, Batch    544, Loss  0.870781, Average Loss  0.869089, Time  0.445521
2021-09-25 17:15:09.048372 : Epoch  9, Batch    545, Loss  0.872877, Average Loss  0.869190, Time  0.451568
2021-09-25 17:15:15.092813 : Epoch  9, Batch    546, Loss  0.871707, Average Loss  0.869279, Time  0.458491
2021-09-25 17:15:21.122504 : Epoch  9, Batch    547, Loss  0.880203, Average Loss  0.869389, Time  0.443980
2021-09-25 17:15:27.145157 : Epoch  9, Batch    548, Loss  0.859093, Average Loss  0.869301, Time  0.445604
2021-09-25 17:15:33.193885 : Epoch  9, Batch    549, Loss  0.872811, Average Loss  0.869343, Time  0.446431
2021-09-25 17:15:39.241367 : Epoch  9, Batch    550, Loss  0.871496, Average Loss  0.869402, Time  0.449237
2021-09-25 17:15:45.275271 : Epoch  9, Batch    551, Loss  0.867190, Average Loss  0.869434, Time  0.443731
2021-09-25 17:15:51.287327 : Epoch  9, Batch    552, Loss  0.880031, Average Loss  0.869448, Time  0.444233
2021-09-25 17:15:57.341505 : Epoch  9, Batch    553, Loss  0.875134, Average Loss  0.869553, Time  0.464599
2021-09-25 17:16:03.367551 : Epoch  9, Batch    554, Loss  0.866717, Average Loss  0.869566, Time  0.444048
2021-09-25 17:16:09.403191 : Epoch  9, Batch    555, Loss  0.854253, Average Loss  0.869490, Time  0.448129
2021-09-25 17:16:15.414380 : Epoch  9, Batch    556, Loss  0.865945, Average Loss  0.869463, Time  0.444211
2021-09-25 17:16:21.457158 : Epoch  9, Batch    557, Loss  0.866599, Average Loss  0.869444, Time  0.443582
2021-09-25 17:16:27.495511 : Epoch  9, Batch    558, Loss  0.867152, Average Loss  0.869423, Time  0.446583
2021-09-25 17:16:33.523361 : Epoch  9, Batch    559, Loss  0.867508, Average Loss  0.869421, Time  0.443913
2021-09-25 17:16:39.558659 : Epoch  9, Batch    560, Loss  0.882082, Average Loss  0.869442, Time  0.444028
2021-09-25 17:16:45.613173 : Epoch  9, Batch    561, Loss  0.862757, Average Loss  0.869503, Time  0.461473
2021-09-25 17:16:51.654873 : Epoch  9, Batch    562, Loss  0.865360, Average Loss  0.869526, Time  0.444612
2021-09-25 17:16:57.699027 : Epoch  9, Batch    563, Loss  0.875237, Average Loss  0.869583, Time  0.453454
2021-09-25 17:17:03.695536 : Epoch  9, Batch    564, Loss  0.872452, Average Loss  0.869540, Time  0.443842
2021-09-25 17:17:09.710575 : Epoch  9, Batch    565, Loss  0.866559, Average Loss  0.869631, Time  0.446239
2021-09-25 17:17:15.747855 : Epoch  9, Batch    566, Loss  0.869022, Average Loss  0.869618, Time  0.446395
2021-09-25 17:17:21.781222 : Epoch  9, Batch    567, Loss  0.870991, Average Loss  0.869646, Time  0.450613
2021-09-25 17:17:27.822567 : Epoch  9, Batch    568, Loss  0.869737, Average Loss  0.869641, Time  0.455516
2021-09-25 17:17:33.845754 : Epoch  9, Batch    569, Loss  0.856237, Average Loss  0.869540, Time  0.443570
2021-09-25 17:17:39.875424 : Epoch  9, Batch    570, Loss  0.876640, Average Loss  0.869623, Time  0.444927
2021-09-25 17:17:45.909742 : Epoch  9, Batch    571, Loss  0.873988, Average Loss  0.869619, Time  0.444565
2021-09-25 17:17:51.943814 : Epoch  9, Batch    572, Loss  0.884158, Average Loss  0.869661, Time  0.448460
2021-09-25 17:17:57.961321 : Epoch  9, Batch    573, Loss  0.866614, Average Loss  0.869669, Time  0.443954
2021-09-25 17:18:03.986019 : Epoch  9, Batch    574, Loss  0.865082, Average Loss  0.869706, Time  0.444313
2021-09-25 17:18:10.033806 : Epoch  9, Batch    575, Loss  0.876120, Average Loss  0.869760, Time  0.452758
2021-09-25 17:18:21.642105 : Epoch  9, Batch    576, Loss  0.884851, Average Loss  0.869852, Time  0.453692
2021-09-25 17:18:39.030972 : CheckPoint: Validation Loss  0.00015138, Best Loss  0.00014749
2021-09-25 17:18:45.100841 : Epoch  9, Batch    877, Loss  0.875157, Average Loss  0.869585, Time  0.445595
2021-09-25 17:18:51.172844 : Epoch  9, Batch    878, Loss  0.871438, Average Loss  0.869510, Time  0.445576
2021-09-25 17:18:57.233651 : Epoch  9, Batch    879, Loss  0.865071, Average Loss  0.869482, Time  0.457518
2021-09-25 17:19:03.304397 : Epoch  9, Batch    880, Loss  0.867045, Average Loss  0.869433, Time  0.445345
2021-09-25 17:19:09.378247 : Epoch  9, Batch    881, Loss  0.874822, Average Loss  0.869390, Time  0.445465
2021-09-25 17:19:15.449661 : Epoch  9, Batch    882, Loss  0.872374, Average Loss  0.869461, Time  0.447091
2021-09-25 17:19:21.537036 : Epoch  9, Batch    883, Loss  0.863889, Average Loss  0.869423, Time  0.445827
2021-09-25 17:19:27.614103 : Epoch  9, Batch    884, Loss  0.873574, Average Loss  0.869494, Time  0.446414
2021-09-25 17:19:33.683520 : Epoch  9, Batch    885, Loss  0.877080, Average Loss  0.869492, Time  0.446213
2021-09-25 17:19:39.745629 : Epoch  9, Batch    886, Loss  0.867474, Average Loss  0.869540, Time  0.446678
2021-09-25 17:19:45.821635 : Epoch  9, Batch    887, Loss  0.876053, Average Loss  0.869539, Time  0.461430
2021-09-25 17:19:51.892694 : Epoch  9, Batch    888, Loss  0.875947, Average Loss  0.869559, Time  0.447644
2021-09-25 17:19:57.955765 : Epoch  9, Batch    889, Loss  0.873242, Average Loss  0.869587, Time  0.446229
2021-09-25 17:20:04.024843 : Epoch  9, Batch    890, Loss  0.874747, Average Loss  0.869656, Time  0.448532
2021-09-25 17:20:10.066325 : Epoch  9, Batch    891, Loss  0.880957, Average Loss  0.869685, Time  0.446846
2021-09-25 17:20:16.123801 : Epoch  9, Batch    892, Loss  0.873552, Average Loss  0.869629, Time  0.448521
2021-09-25 17:20:22.194849 : Epoch  9, Batch    893, Loss  0.877630, Average Loss  0.869681, Time  0.444912
2021-09-25 17:20:28.257839 : Epoch  9, Batch    894, Loss  0.871467, Average Loss  0.869682, Time  0.459897
2021-09-25 17:20:34.330969 : Epoch  9, Batch    895, Loss  0.866092, Average Loss  0.869616, Time  0.446305
2021-09-25 17:20:40.393760 : Epoch  9, Batch    896, Loss  0.865813, Average Loss  0.869597, Time  0.445420
2021-09-25 17:20:46.466669 : Epoch  9, Batch    897, Loss  0.874941, Average Loss  0.869609, Time  0.446689
2021-09-25 17:20:52.550106 : Epoch  9, Batch    898, Loss  0.851758, Average Loss  0.869535, Time  0.447637
2021-09-25 17:20:58.619129 : Epoch  9, Batch    899, Loss  0.884034, Average Loss  0.869554, Time  0.445475
2021-09-25 17:21:04.696200 : Epoch  9, Batch    900, Loss  0.872378, Average Loss  0.869548, Time  0.445391
2021-09-25 17:21:10.752670 : Epoch  9, Batch    901, Loss  0.858455, Average Loss  0.869491, Time  0.445316
2021-09-25 17:21:16.844974 : Epoch  9, Batch    902, Loss  0.877198, Average Loss  0.869526, Time  0.455569
2021-09-25 17:21:22.916304 : Epoch  9, Batch    903, Loss  0.862522, Average Loss  0.869467, Time  0.447538
2021-09-25 17:21:28.969679 : Epoch  9, Batch    904, Loss  0.872422, Average Loss  0.869461, Time  0.445103
2021-09-25 17:21:35.040826 : Epoch  9, Batch    905, Loss  0.850239, Average Loss  0.869338, Time  0.447980
2021-09-25 17:21:41.104542 : Epoch  9, Batch    906, Loss  0.854767, Average Loss  0.869236, Time  0.445840
2021-09-25 17:21:47.169251 : Epoch  9, Batch    907, Loss  0.869498, Average Loss  0.869212, Time  0.447276
2021-09-25 17:21:53.240273 : Epoch  9, Batch    908, Loss  0.873912, Average Loss  0.869197, Time  0.447144
2021-09-25 17:21:59.342866 : Epoch  9, Batch    909, Loss  0.880805, Average Loss  0.869244, Time  0.459968
2021-09-25 17:22:05.416776 : Epoch  9, Batch    910, Loss  0.864939, Average Loss  0.869253, Time  0.445365
2021-09-25 17:22:11.471116 : Epoch  9, Batch    911, Loss  0.871739, Average Loss  0.869251, Time  0.445116
2021-09-25 17:22:17.531300 : Epoch  9, Batch    912, Loss  0.876191, Average Loss  0.869273, Time  0.444694
2021-09-25 17:22:23.591171 : Epoch  9, Batch    913, Loss  0.867819, Average Loss  0.869339, Time  0.445221
2021-09-25 17:22:29.666085 : Epoch  9, Batch    914, Loss  0.861965, Average Loss  0.869332, Time  0.453606
2021-09-25 17:22:35.743742 : Epoch  9, Batch    915, Loss  0.852037, Average Loss  0.869290, Time  0.448635
2021-09-25 17:22:41.803229 : Epoch  9, Batch    916, Loss  0.878337, Average Loss  0.869271, Time  0.448029
2021-09-25 17:22:47.885432 : Epoch  9, Batch    917, Loss  0.869202, Average Loss  0.869214, Time  0.455098
2021-09-25 17:22:53.946117 : Epoch  9, Batch    918, Loss  0.863587, Average Loss  0.869207, Time  0.446003
2021-09-25 17:23:00.017260 : Epoch  9, Batch    919, Loss  0.864596, Average Loss  0.869183, Time  0.445879
2021-09-25 17:23:06.099109 : Epoch  9, Batch    920, Loss  0.864505, Average Loss  0.869167, Time  0.444661
2021-09-25 17:23:07.554872 : CheckPoint: Validation Loss  0.00015083, Best Loss  0.00014737
2021-09-25 17:23:12.174606 : Epoch  9, Batch    921, Loss  0.860127, Average Loss  0.869082, Time  0.446609
2021-09-25 17:23:13.619069 : Epoch  9, Batch    577, Loss  0.858421, Average Loss  0.869782, Time  0.444742
2021-09-25 17:23:18.253672 : Epoch  9, Batch    922, Loss  0.851947, Average Loss  0.868903, Time  0.445111
2021-09-25 17:23:19.634417 : Epoch  9, Batch    578, Loss  0.872828, Average Loss  0.869866, Time  0.444226
2021-09-25 17:23:24.325876 : Epoch  9, Batch    923, Loss  0.873476, Average Loss  0.868903, Time  0.445538
2021-09-25 17:23:25.663088 : Epoch  9, Batch    579, Loss  0.875295, Average Loss  0.869883, Time  0.447526
2021-09-25 17:23:30.406139 : Epoch  9, Batch    924, Loss  0.864923, Average Loss  0.868828, Time  0.461106
2021-09-25 17:23:31.682877 : Epoch  9, Batch    580, Loss  0.864676, Average Loss  0.869788, Time  0.443920
2021-09-25 17:23:36.461759 : Epoch  9, Batch    925, Loss  0.855542, Average Loss  0.868764, Time  0.446156
2021-09-25 17:23:37.732630 : Epoch  9, Batch    581, Loss  0.874398, Average Loss  0.869861, Time  0.459661
2021-09-25 17:23:42.525451 : Epoch  9, Batch    926, Loss  0.865736, Average Loss  0.868825, Time  0.444639
2021-09-25 17:23:43.724538 : Epoch  9, Batch    582, Loss  0.870238, Average Loss  0.869912, Time  0.445075
2021-09-25 17:23:48.597347 : Epoch  9, Batch    927, Loss  0.864036, Average Loss  0.868781, Time  0.445811
2021-09-25 17:23:49.741282 : Epoch  9, Batch    583, Loss  0.860197, Average Loss  0.869817, Time  0.443835
2021-09-25 17:23:54.673025 : Epoch  9, Batch    928, Loss  0.868028, Average Loss  0.868764, Time  0.446713
2021-09-25 17:23:54.705270 : Saving Model after 9-th Epoch.
2021-09-25 17:23:55.500635 : Epoch Finished.
2021-09-25 17:23:55.764125 : Epoch  9, Batch    584, Loss  0.857548, Average Loss  0.869746, Time  0.444184
2021-09-25 17:24:01.090207 : Batch Shuffled
2021-09-25 17:24:01.798753 : Epoch  9, Batch    585, Loss  0.858834, Average Loss  0.869752, Time  0.445023
2021-09-25 17:24:07.143987 : Epoch 10, Batch      1, Loss  0.857255, Average Loss  0.868742, Time  0.445939
2021-09-25 17:24:07.797494 : Epoch  9, Batch    586, Loss  0.875901, Average Loss  0.869786, Time  0.445076
2021-09-25 17:24:13.237199 : Epoch 10, Batch      2, Loss  0.865178, Average Loss  0.868588, Time  0.446204
2021-09-25 17:24:13.799320 : Epoch  9, Batch    587, Loss  0.876543, Average Loss  0.869841, Time  0.444309
2021-09-25 17:24:19.310271 : Epoch 10, Batch      3, Loss  0.860916, Average Loss  0.868602, Time  0.456641
2021-09-25 17:24:19.842931 : Epoch  9, Batch    588, Loss  0.888109, Average Loss  0.869933, Time  0.461546
2021-09-25 17:24:25.379705 : Epoch 10, Batch      4, Loss  0.876618, Average Loss  0.868695, Time  0.445145
2021-09-25 17:24:25.863447 : Epoch  9, Batch    589, Loss  0.862505, Average Loss  0.869924, Time  0.444820
2021-09-25 17:24:31.481111 : Epoch 10, Batch      5, Loss  0.876101, Average Loss  0.868708, Time  0.444799
2021-09-25 17:24:31.883622 : Epoch  9, Batch    590, Loss  0.861295, Average Loss  0.869885, Time  0.446111
2021-09-25 17:24:37.573815 : Epoch 10, Batch      6, Loss  0.858161, Average Loss  0.868620, Time  0.447563
2021-09-25 17:24:37.900902 : Epoch  9, Batch    591, Loss  0.868952, Average Loss  0.869897, Time  0.446491
2021-09-25 17:24:43.637913 : Epoch 10, Batch      7, Loss  0.864310, Average Loss  0.868641, Time  0.447079
2021-09-25 17:24:43.918611 : Epoch  9, Batch    592, Loss  0.873541, Average Loss  0.869959, Time  0.445204
2021-09-25 17:24:49.713723 : Epoch 10, Batch      8, Loss  0.862226, Average Loss  0.868601, Time  0.445390
2021-09-25 17:24:49.914304 : Epoch  9, Batch    593, Loss  0.873856, Average Loss  0.870025, Time  0.444998
2021-09-25 17:24:55.788847 : Epoch 10, Batch      9, Loss  0.865264, Average Loss  0.868628, Time  0.445427
2021-09-25 17:24:55.934977 : Epoch  9, Batch    594, Loss  0.870394, Average Loss  0.870018, Time  0.447772
2021-09-25 17:25:01.871761 : Epoch 10, Batch     10, Loss  0.862245, Average Loss  0.868527, Time  0.457944
2021-09-25 17:25:01.950857 : Epoch  9, Batch    595, Loss  0.863770, Average Loss  0.869996, Time  0.445245
2021-09-25 17:25:07.961828 : Epoch 10, Batch     11, Loss  0.863965, Average Loss  0.868498, Time  0.444697
2021-09-25 17:25:07.997226 : Epoch  9, Batch    596, Loss  0.867758, Average Loss  0.870022, Time  0.461107
2021-09-25 17:25:14.011436 : Epoch  9, Batch    597, Loss  0.867569, Average Loss  0.870063, Time  0.444189
2021-09-25 17:25:14.043783 : Epoch 10, Batch     12, Loss  0.888412, Average Loss  0.868562, Time  0.445039
2021-09-25 17:25:20.050040 : Epoch  9, Batch    598, Loss  0.870643, Average Loss  0.870060, Time  0.446041
2021-09-25 17:25:20.123188 : Epoch 10, Batch     13, Loss  0.863908, Average Loss  0.868558, Time  0.445621
2021-09-25 17:25:26.092272 : Epoch  9, Batch    599, Loss  0.860690, Average Loss  0.870032, Time  0.444712
2021-09-25 17:25:26.179906 : Epoch 10, Batch     14, Loss  0.868788, Average Loss  0.868533, Time  0.446626
2021-09-25 17:25:32.129380 : Epoch  9, Batch    600, Loss  0.869359, Average Loss  0.870022, Time  0.444684
2021-09-25 17:25:32.235237 : Epoch 10, Batch     15, Loss  0.876727, Average Loss  0.868527, Time  0.447833
2021-09-25 17:25:38.174008 : Epoch  9, Batch    601, Loss  0.868124, Average Loss  0.870009, Time  0.444145
2021-09-25 17:25:38.301402 : Epoch 10, Batch     16, Loss  0.869611, Average Loss  0.868564, Time  0.448482
2021-09-25 17:25:44.193685 : Epoch  9, Batch    602, Loss  0.891389, Average Loss  0.870129, Time  0.444506
2021-09-25 17:25:44.374328 : Epoch 10, Batch     17, Loss  0.862299, Average Loss  0.868535, Time  0.446777
2021-09-25 17:25:50.206513 : Epoch  9, Batch    603, Loss  0.872636, Average Loss  0.870209, Time  0.452221
2021-09-25 17:25:50.459729 : Epoch 10, Batch     18, Loss  0.861944, Average Loss  0.868479, Time  0.460173
2021-09-25 17:25:56.223890 : Epoch  9, Batch    604, Loss  0.876137, Average Loss  0.870296, Time  0.447093
2021-09-25 17:25:56.535951 : Epoch 10, Batch     19, Loss  0.879660, Average Loss  0.868503, Time  0.448325
2021-09-25 17:26:02.249571 : Epoch  9, Batch    605, Loss  0.865917, Average Loss  0.870233, Time  0.443941
2021-09-25 17:26:02.610690 : Epoch 10, Batch     20, Loss  0.870462, Average Loss  0.868517, Time  0.449478
2021-09-25 17:26:08.274119 : Epoch  9, Batch    606, Loss  0.873462, Average Loss  0.870216, Time  0.446649
2021-09-25 17:26:08.679574 : Epoch 10, Batch     21, Loss  0.860640, Average Loss  0.868540, Time  0.445669
2021-09-25 17:26:14.293366 : Epoch  9, Batch    607, Loss  0.871199, Average Loss  0.870229, Time  0.445038
2021-09-25 17:26:14.740789 : Epoch 10, Batch     22, Loss  0.859452, Average Loss  0.868543, Time  0.446424
2021-09-25 17:26:20.309878 : Epoch  9, Batch    608, Loss  0.881832, Average Loss  0.870295, Time  0.444485
2021-09-25 17:26:20.813631 : Epoch 10, Batch     23, Loss  0.879834, Average Loss  0.868625, Time  0.444678
2021-09-25 17:26:26.341429 : Epoch  9, Batch    609, Loss  0.876188, Average Loss  0.870379, Time  0.444127
2021-09-25 17:26:26.871976 : Epoch 10, Batch     24, Loss  0.868934, Average Loss  0.868569, Time  0.446465
2021-09-25 17:26:32.373559 : Epoch  9, Batch    610, Loss  0.866243, Average Loss  0.870412, Time  0.443971
2021-09-25 17:26:32.958667 : Epoch 10, Batch     25, Loss  0.859639, Average Loss  0.868555, Time  0.457386
2021-09-25 17:26:37.442414 : Epoch 10, Batch     26, Loss  0.872069, Average Loss  0.868543, Time  0.350135
2021-09-25 17:26:38.408441 : Epoch  9, Batch    611, Loss  0.878661, Average Loss  0.870464, Time  0.457775
2021-09-25 17:26:43.519399 : Epoch 10, Batch     27, Loss  0.861568, Average Loss  0.868428, Time  0.445637
2021-09-25 17:26:44.427676 : Epoch  9, Batch    612, Loss  0.872878, Average Loss  0.870502, Time  0.447803
2021-09-25 17:26:49.607244 : Epoch 10, Batch     28, Loss  0.880299, Average Loss  0.868509, Time  0.447020
2021-09-25 17:26:50.442142 : Epoch  9, Batch    613, Loss  0.869385, Average Loss  0.870452, Time  0.444064
2021-09-25 17:26:55.664318 : Epoch 10, Batch     29, Loss  0.877155, Average Loss  0.868643, Time  0.449782
2021-09-25 17:26:56.452000 : Epoch  9, Batch    614, Loss  0.877862, Average Loss  0.870469, Time  0.448497
2021-09-25 17:27:01.742692 : Epoch 10, Batch     30, Loss  0.855679, Average Loss  0.868625, Time  0.445102
2021-09-25 17:27:02.475816 : Epoch  9, Batch    615, Loss  0.865396, Average Loss  0.870403, Time  0.444739
2021-09-25 17:27:07.820516 : Epoch 10, Batch     31, Loss  0.861373, Average Loss  0.868554, Time  0.446992
2021-09-25 17:27:08.516812 : Epoch  9, Batch    616, Loss  0.849035, Average Loss  0.870254, Time  0.445408
2021-09-25 17:27:13.905830 : Epoch 10, Batch     32, Loss  0.877924, Average Loss  0.868541, Time  0.444597
2021-09-25 17:27:14.551942 : Epoch  9, Batch    617, Loss  0.860502, Average Loss  0.870271, Time  0.444252
2021-09-25 17:27:19.986682 : Epoch 10, Batch     33, Loss  0.879245, Average Loss  0.868651, Time  0.453344
2021-09-25 17:27:20.603431 : Epoch  9, Batch    618, Loss  0.853611, Average Loss  0.870182, Time  0.455161
2021-09-25 17:27:26.043338 : Epoch 10, Batch     34, Loss  0.879116, Average Loss  0.868712, Time  0.445012
2021-09-25 17:27:26.604578 : Epoch  9, Batch    619, Loss  0.878382, Average Loss  0.870246, Time  0.444914
2021-09-25 17:27:32.137234 : Epoch 10, Batch     35, Loss  0.882872, Average Loss  0.868803, Time  0.448040
2021-09-25 17:27:32.638780 : Epoch  9, Batch    620, Loss  0.868958, Average Loss  0.870194, Time  0.447922
2021-09-25 17:27:38.214053 : Epoch 10, Batch     36, Loss  0.861013, Average Loss  0.868801, Time  0.446087
2021-09-25 17:27:38.685189 : Epoch  9, Batch    621, Loss  0.857111, Average Loss  0.870172, Time  0.445479
2021-09-25 17:27:44.287672 : Epoch 10, Batch     37, Loss  0.855342, Average Loss  0.868695, Time  0.448778
2021-09-25 17:27:44.688689 : Epoch  9, Batch    622, Loss  0.887234, Average Loss  0.870231, Time  0.446933
2021-09-25 17:27:50.368208 : Epoch 10, Batch     38, Loss  0.864164, Average Loss  0.868702, Time  0.446658
2021-09-25 17:27:50.726747 : Epoch  9, Batch    623, Loss  0.882645, Average Loss  0.870293, Time  0.444051
2021-09-25 17:27:56.459193 : Epoch 10, Batch     39, Loss  0.860802, Average Loss  0.868704, Time  0.446933
2021-09-25 17:27:56.740881 : Epoch  9, Batch    624, Loss  0.859038, Average Loss  0.870139, Time  0.443992
2021-09-25 17:28:02.540716 : Epoch 10, Batch     40, Loss  0.868361, Average Loss  0.868693, Time  0.446484
2021-09-25 17:28:02.783359 : Epoch  9, Batch    625, Loss  0.888085, Average Loss  0.870223, Time  0.446285
2021-09-25 17:28:08.639212 : Epoch 10, Batch     41, Loss  0.865068, Average Loss  0.868642, Time  0.457113
2021-09-25 17:28:08.812922 : Epoch  9, Batch    626, Loss  0.880560, Average Loss  0.870266, Time  0.459734
2021-09-25 17:28:14.706599 : Epoch 10, Batch     42, Loss  0.886901, Average Loss  0.868812, Time  0.448159
2021-09-25 17:28:14.814844 : Epoch  9, Batch    627, Loss  0.883684, Average Loss  0.870385, Time  0.446350
2021-09-25 17:28:20.776033 : Epoch 10, Batch     43, Loss  0.867023, Average Loss  0.868791, Time  0.446842
2021-09-25 17:28:20.857999 : Epoch  9, Batch    628, Loss  0.867648, Average Loss  0.870370, Time  0.446424
2021-09-25 17:28:26.863292 : Epoch 10, Batch     44, Loss  0.860173, Average Loss  0.868743, Time  0.444995
2021-09-25 17:28:26.895541 : Epoch  9, Batch    629, Loss  0.872443, Average Loss  0.870402, Time  0.444844
2021-09-25 17:28:32.925304 : Epoch  9, Batch    630, Loss  0.877936, Average Loss  0.870427, Time  0.445568
2021-09-25 17:28:32.954731 : Epoch 10, Batch     45, Loss  0.851775, Average Loss  0.868715, Time  0.447837
2021-09-25 17:28:38.938385 : Epoch  9, Batch    631, Loss  0.859870, Average Loss  0.870391, Time  0.444889
2021-09-25 17:28:39.026377 : Epoch 10, Batch     46, Loss  0.886306, Average Loss  0.868905, Time  0.444769
2021-09-25 17:28:44.978515 : Epoch  9, Batch    632, Loss  0.868060, Average Loss  0.870405, Time  0.446420
2021-09-25 17:28:45.108670 : Epoch 10, Batch     47, Loss  0.873247, Average Loss  0.868999, Time  0.445712
2021-09-25 17:28:51.034802 : Epoch  9, Batch    633, Loss  0.882243, Average Loss  0.870467, Time  0.457245
2021-09-25 17:28:51.191738 : Epoch 10, Batch     48, Loss  0.868105, Average Loss  0.868915, Time  0.456449
2021-09-25 17:28:57.080089 : Epoch  9, Batch    634, Loss  0.871881, Average Loss  0.870505, Time  0.444734
2021-09-25 17:29:03.106916 : Epoch  9, Batch    635, Loss  0.875703, Average Loss  0.870594, Time  0.444830
2021-09-25 17:29:09.133334 : Epoch  9, Batch    636, Loss  0.868748, Average Loss  0.870628, Time  0.446126
2021-09-25 17:29:15.166773 : Epoch  9, Batch    637, Loss  0.851664, Average Loss  0.870544, Time  0.443320
2021-09-25 17:29:21.194048 : Epoch  9, Batch    638, Loss  0.860697, Average Loss  0.870489, Time  0.444185
2021-09-25 17:29:27.212695 : Epoch  9, Batch    639, Loss  0.862887, Average Loss  0.870482, Time  0.444129
2021-09-25 17:29:33.233140 : Epoch  9, Batch    640, Loss  0.855136, Average Loss  0.870377, Time  0.445220
2021-09-25 17:29:39.278341 : Epoch  9, Batch    641, Loss  0.855496, Average Loss  0.870234, Time  0.456694
2021-09-25 17:29:45.324934 : Epoch  9, Batch    642, Loss  0.871684, Average Loss  0.870224, Time  0.448928
2021-09-25 17:29:51.356762 : Epoch  9, Batch    643, Loss  0.883174, Average Loss  0.870240, Time  0.444796
2021-09-25 17:29:57.389304 : Epoch  9, Batch    644, Loss  0.885665, Average Loss  0.870326, Time  0.456461
2021-09-25 17:30:03.417015 : Epoch  9, Batch    645, Loss  0.878482, Average Loss  0.870331, Time  0.444182
2021-09-25 17:30:09.435829 : Epoch  9, Batch    646, Loss  0.880934, Average Loss  0.870407, Time  0.444641
2021-09-25 17:30:15.471372 : Epoch  9, Batch    647, Loss  0.870921, Average Loss  0.870380, Time  0.444622
2021-09-25 17:30:21.527520 : Epoch  9, Batch    648, Loss  0.872220, Average Loss  0.870503, Time  0.457354
2021-09-25 17:30:27.539974 : Epoch  9, Batch    649, Loss  0.855104, Average Loss  0.870368, Time  0.444587
2021-09-25 17:30:33.558205 : Epoch  9, Batch    650, Loss  0.861333, Average Loss  0.870336, Time  0.451945
2021-09-25 17:30:39.575949 : Epoch  9, Batch    651, Loss  0.868167, Average Loss  0.870347, Time  0.444145
2021-09-25 17:30:45.584752 : Epoch  9, Batch    652, Loss  0.862618, Average Loss  0.870341, Time  0.445853
2021-09-25 17:30:51.634931 : Epoch  9, Batch    653, Loss  0.854165, Average Loss  0.870293, Time  0.444391
2021-09-25 17:30:57.654922 : Epoch  9, Batch    654, Loss  0.849166, Average Loss  0.870192, Time  0.444117
2021-09-25 17:31:03.669525 : Epoch  9, Batch    655, Loss  0.879444, Average Loss  0.870175, Time  0.445585
2021-09-25 17:31:09.711524 : Epoch  9, Batch    656, Loss  0.851954, Average Loss  0.870055, Time  0.453269
2021-09-25 17:31:15.723823 : Epoch  9, Batch    657, Loss  0.866072, Average Loss  0.869960, Time  0.444991
2021-09-25 17:31:21.740860 : Epoch  9, Batch    658, Loss  0.854840, Average Loss  0.869875, Time  0.448273
2021-09-25 17:31:27.773027 : Epoch  9, Batch    659, Loss  0.869144, Average Loss  0.869880, Time  0.446261
2021-09-25 17:31:33.779152 : Epoch  9, Batch    660, Loss  0.885622, Average Loss  0.869955, Time  0.445215
2021-09-25 17:31:39.804839 : Epoch  9, Batch    661, Loss  0.862196, Average Loss  0.869827, Time  0.444265
2021-09-25 17:31:45.830842 : Epoch  9, Batch    662, Loss  0.880470, Average Loss  0.869873, Time  0.446340
2021-09-25 17:31:51.857765 : Epoch  9, Batch    663, Loss  0.866850, Average Loss  0.869831, Time  0.451509
2021-09-25 17:31:57.885934 : Epoch  9, Batch    664, Loss  0.860766, Average Loss  0.869795, Time  0.445587
2021-09-25 17:32:03.926934 : Epoch  9, Batch    665, Loss  0.875205, Average Loss  0.869851, Time  0.445881
2021-09-25 17:32:09.961804 : Epoch  9, Batch    666, Loss  0.862719, Average Loss  0.869837, Time  0.445234
2021-09-25 17:32:16.001231 : Epoch  9, Batch    667, Loss  0.872732, Average Loss  0.869866, Time  0.444493
2021-09-25 17:32:22.020796 : Epoch  9, Batch    668, Loss  0.861930, Average Loss  0.869800, Time  0.448197
2021-09-25 17:32:28.073629 : Epoch  9, Batch    669, Loss  0.867068, Average Loss  0.869779, Time  0.444235
2021-09-25 17:32:34.098542 : Epoch  9, Batch    670, Loss  0.880883, Average Loss  0.869807, Time  0.444555
2021-09-25 17:32:40.142754 : Epoch  9, Batch    671, Loss  0.867926, Average Loss  0.869802, Time  0.454110
2021-09-25 17:32:46.179819 : Epoch  9, Batch    672, Loss  0.861050, Average Loss  0.869683, Time  0.444799
2021-09-25 17:32:52.189721 : Epoch  9, Batch    673, Loss  0.874313, Average Loss  0.869693, Time  0.443957
2021-09-25 17:32:58.237542 : Epoch  9, Batch    674, Loss  0.872522, Average Loss  0.869696, Time  0.445900
2021-09-25 17:33:04.251903 : Epoch  9, Batch    675, Loss  0.864164, Average Loss  0.869670, Time  0.445622
2021-09-25 17:33:10.270851 : Epoch  9, Batch    676, Loss  0.867702, Average Loss  0.869634, Time  0.444390
2021-09-25 17:33:35.875429 : CheckPoint: Validation Loss  0.00015021, Best Loss  0.00014749
2021-09-25 17:33:41.959074 : Epoch 10, Batch     49, Loss  0.881188, Average Loss  0.868955, Time  0.445100
2021-09-25 17:33:48.005843 : Epoch 10, Batch     50, Loss  0.880567, Average Loss  0.868930, Time  0.447322
2021-09-25 17:33:54.034869 : Epoch 10, Batch     51, Loss  0.860464, Average Loss  0.868981, Time  0.445405
2021-09-25 17:34:00.079498 : Epoch 10, Batch     52, Loss  0.887708, Average Loss  0.869142, Time  0.447755
2021-09-25 17:34:06.117656 : Epoch 10, Batch     53, Loss  0.868749, Average Loss  0.869077, Time  0.445993
2021-09-25 17:34:12.209866 : Epoch 10, Batch     54, Loss  0.871988, Average Loss  0.869066, Time  0.456807
2021-09-25 17:34:18.268404 : Epoch 10, Batch     55, Loss  0.870150, Average Loss  0.869066, Time  0.446040
2021-09-25 17:34:24.307110 : Epoch 10, Batch     56, Loss  0.854175, Average Loss  0.868943, Time  0.446275
2021-09-25 17:34:30.344787 : Epoch 10, Batch     57, Loss  0.869466, Average Loss  0.868928, Time  0.444932
2021-09-25 17:34:36.379532 : Epoch 10, Batch     58, Loss  0.864360, Average Loss  0.868859, Time  0.446687
2021-09-25 17:34:42.423603 : Epoch 10, Batch     59, Loss  0.862916, Average Loss  0.868823, Time  0.444499
2021-09-25 17:34:48.466667 : Epoch 10, Batch     60, Loss  0.873994, Average Loss  0.868904, Time  0.446562
2021-09-25 17:34:54.521102 : Epoch 10, Batch     61, Loss  0.874258, Average Loss  0.868979, Time  0.445221
2021-09-25 17:35:00.565683 : Epoch 10, Batch     62, Loss  0.883696, Average Loss  0.869093, Time  0.452467
2021-09-25 17:35:06.623060 : Epoch 10, Batch     63, Loss  0.866023, Average Loss  0.869084, Time  0.445285
2021-09-25 17:35:12.685563 : Epoch 10, Batch     64, Loss  0.883803, Average Loss  0.869078, Time  0.448625
2021-09-25 17:35:18.741232 : Epoch 10, Batch     65, Loss  0.874645, Average Loss  0.869165, Time  0.451484
2021-09-25 17:35:24.784111 : Epoch 10, Batch     66, Loss  0.873620, Average Loss  0.869192, Time  0.445287
2021-09-25 17:35:30.832304 : Epoch 10, Batch     67, Loss  0.871992, Average Loss  0.869222, Time  0.444983
2021-09-25 17:35:36.875184 : Epoch 10, Batch     68, Loss  0.880140, Average Loss  0.869316, Time  0.445160
2021-09-25 17:35:42.932782 : Epoch 10, Batch     69, Loss  0.862706, Average Loss  0.869308, Time  0.458528
2021-09-25 17:35:48.992359 : Epoch 10, Batch     70, Loss  0.878866, Average Loss  0.869337, Time  0.446105
2021-09-25 17:35:55.038844 : Epoch 10, Batch     71, Loss  0.867449, Average Loss  0.869305, Time  0.445611
2021-09-25 17:36:01.086703 : Epoch 10, Batch     72, Loss  0.860937, Average Loss  0.869292, Time  0.444343
2021-09-25 17:36:07.150825 : Epoch 10, Batch     73, Loss  0.864115, Average Loss  0.869311, Time  0.445817
2021-09-25 17:36:13.204490 : Epoch 10, Batch     74, Loss  0.889977, Average Loss  0.869401, Time  0.449699
2021-09-25 17:36:19.256839 : Epoch 10, Batch     75, Loss  0.863305, Average Loss  0.869344, Time  0.445579
2021-09-25 17:36:25.288439 : Epoch 10, Batch     76, Loss  0.876645, Average Loss  0.869389, Time  0.445374
2021-09-25 17:36:31.330783 : Epoch 10, Batch     77, Loss  0.881788, Average Loss  0.869406, Time  0.459829
2021-09-25 17:36:37.359310 : Epoch 10, Batch     78, Loss  0.874262, Average Loss  0.869426, Time  0.445439
2021-09-25 17:36:43.405566 : Epoch 10, Batch     79, Loss  0.854030, Average Loss  0.869265, Time  0.444861
2021-09-25 17:36:49.451971 : Epoch 10, Batch     80, Loss  0.874409, Average Loss  0.869263, Time  0.448181
2021-09-25 17:36:55.529791 : Epoch 10, Batch     81, Loss  0.886814, Average Loss  0.869410, Time  0.448043
2021-09-25 17:37:01.572908 : Epoch 10, Batch     82, Loss  0.862495, Average Loss  0.869446, Time  0.447460
2021-09-25 17:37:07.604697 : Epoch 10, Batch     83, Loss  0.859891, Average Loss  0.869312, Time  0.444512
2021-09-25 17:37:13.651393 : Epoch 10, Batch     84, Loss  0.869381, Average Loss  0.869332, Time  0.459184
2021-09-25 17:37:19.696895 : Epoch 10, Batch     85, Loss  0.869362, Average Loss  0.869255, Time  0.444259
2021-09-25 17:37:25.739860 : Epoch 10, Batch     86, Loss  0.875054, Average Loss  0.869254, Time  0.445002
2021-09-25 17:37:31.801187 : Epoch 10, Batch     87, Loss  0.855098, Average Loss  0.869137, Time  0.449992
2021-09-25 17:37:37.847143 : Epoch 10, Batch     88, Loss  0.876115, Average Loss  0.869099, Time  0.445621
2021-09-25 17:37:43.899532 : Epoch 10, Batch     89, Loss  0.875263, Average Loss  0.869153, Time  0.446442
2021-09-25 17:37:49.933503 : Epoch 10, Batch     90, Loss  0.876170, Average Loss  0.869224, Time  0.447420
2021-09-25 17:37:55.422037 : CheckPoint: Validation Loss  0.00015205, Best Loss  0.00014737
2021-09-25 17:37:55.968798 : Epoch 10, Batch     91, Loss  0.848155, Average Loss  0.869182, Time  0.446892
2021-09-25 17:38:01.476499 : Epoch  9, Batch    677, Loss  0.870896, Average Loss  0.869565, Time  0.454890
2021-09-25 17:38:02.012388 : Epoch 10, Batch     92, Loss  0.868411, Average Loss  0.869220, Time  0.456576
2021-09-25 17:38:07.514326 : Epoch  9, Batch    678, Loss  0.860657, Average Loss  0.869516, Time  0.446232
2021-09-25 17:38:08.040883 : Epoch 10, Batch     93, Loss  0.867487, Average Loss  0.869228, Time  0.445155
2021-09-25 17:38:13.541798 : Epoch  9, Batch    679, Loss  0.875961, Average Loss  0.869566, Time  0.444157
2021-09-25 17:38:14.066873 : Epoch 10, Batch     94, Loss  0.861783, Average Loss  0.869143, Time  0.450964
2021-09-25 17:38:19.572063 : Epoch  9, Batch    680, Loss  0.866704, Average Loss  0.869594, Time  0.444537
2021-09-25 17:38:20.103257 : Epoch 10, Batch     95, Loss  0.850604, Average Loss  0.869111, Time  0.445421
2021-09-25 17:38:25.590701 : Epoch  9, Batch    681, Loss  0.861741, Average Loss  0.869564, Time  0.444888
2021-09-25 17:38:26.141910 : Epoch 10, Batch     96, Loss  0.878853, Average Loss  0.869102, Time  0.444932
2021-09-25 17:38:31.623775 : Epoch  9, Batch    682, Loss  0.860069, Average Loss  0.869505, Time  0.446587
2021-09-25 17:38:32.185632 : Epoch 10, Batch     97, Loss  0.854407, Average Loss  0.868985, Time  0.447214
2021-09-25 17:38:37.642962 : Epoch  9, Batch    683, Loss  0.873898, Average Loss  0.869534, Time  0.445072
2021-09-25 17:38:38.215821 : Epoch 10, Batch     98, Loss  0.847140, Average Loss  0.868823, Time  0.445676
2021-09-25 17:38:43.686049 : Epoch  9, Batch    684, Loss  0.869627, Average Loss  0.869536, Time  0.463253
2021-09-25 17:38:44.258823 : Epoch 10, Batch     99, Loss  0.882455, Average Loss  0.868954, Time  0.444924
2021-09-25 17:38:49.702845 : Epoch  9, Batch    685, Loss  0.874896, Average Loss  0.869592, Time  0.443483
2021-09-25 17:38:50.316323 : Epoch 10, Batch    100, Loss  0.858955, Average Loss  0.868881, Time  0.455206
2021-09-25 17:38:55.740735 : Epoch  9, Batch    686, Loss  0.858280, Average Loss  0.869632, Time  0.446343
2021-09-25 17:38:56.375628 : Epoch 10, Batch    101, Loss  0.861696, Average Loss  0.868836, Time  0.447441
2021-09-25 17:39:01.769151 : Epoch  9, Batch    687, Loss  0.874968, Average Loss  0.869669, Time  0.444442
2021-09-25 17:39:02.421453 : Epoch 10, Batch    102, Loss  0.869603, Average Loss  0.868783, Time  0.445181
2021-09-25 17:39:07.786759 : Epoch  9, Batch    688, Loss  0.878934, Average Loss  0.869710, Time  0.445266
2021-09-25 17:39:08.470888 : Epoch 10, Batch    103, Loss  0.857914, Average Loss  0.868736, Time  0.446601
2021-09-25 17:39:13.790499 : Epoch  9, Batch    689, Loss  0.856755, Average Loss  0.869717, Time  0.444578
2021-09-25 17:39:14.515731 : Epoch 10, Batch    104, Loss  0.868835, Average Loss  0.868850, Time  0.445344
2021-09-25 17:39:19.816118 : Epoch  9, Batch    690, Loss  0.864709, Average Loss  0.869633, Time  0.443605
2021-09-25 17:39:20.553559 : Epoch 10, Batch    105, Loss  0.862654, Average Loss  0.868867, Time  0.445841
2021-09-25 17:39:25.845055 : Epoch  9, Batch    691, Loss  0.886091, Average Loss  0.869731, Time  0.445461
2021-09-25 17:39:26.602248 : Epoch 10, Batch    106, Loss  0.868730, Average Loss  0.868862, Time  0.448806
2021-09-25 17:39:31.897238 : Epoch  9, Batch    692, Loss  0.884861, Average Loss  0.869814, Time  0.452955
2021-09-25 17:39:32.665953 : Epoch 10, Batch    107, Loss  0.862689, Average Loss  0.868785, Time  0.466934
2021-09-25 17:39:37.940907 : Epoch  9, Batch    693, Loss  0.875985, Average Loss  0.869862, Time  0.445655
2021-09-25 17:39:38.719002 : Epoch 10, Batch    108, Loss  0.865768, Average Loss  0.868724, Time  0.445466
2021-09-25 17:39:43.972135 : Epoch  9, Batch    694, Loss  0.866163, Average Loss  0.869777, Time  0.444885
2021-09-25 17:39:44.766530 : Epoch 10, Batch    109, Loss  0.862689, Average Loss  0.868657, Time  0.449715
2021-09-25 17:39:49.991024 : Epoch  9, Batch    695, Loss  0.856309, Average Loss  0.869677, Time  0.443730
2021-09-25 17:39:50.817055 : Epoch 10, Batch    110, Loss  0.870172, Average Loss  0.868638, Time  0.448411
2021-09-25 17:39:56.015924 : Epoch  9, Batch    696, Loss  0.861399, Average Loss  0.869607, Time  0.444492
2021-09-25 17:39:56.853668 : Epoch 10, Batch    111, Loss  0.879325, Average Loss  0.868681, Time  0.445220
2021-09-25 17:40:02.056462 : Epoch  9, Batch    697, Loss  0.858238, Average Loss  0.869558, Time  0.444936
2021-09-25 17:40:02.888548 : Epoch 10, Batch    112, Loss  0.874839, Average Loss  0.868704, Time  0.445099
2021-09-25 17:40:08.081846 : Epoch  9, Batch    698, Loss  0.877263, Average Loss  0.869527, Time  0.444050
2021-09-25 17:40:08.925508 : Epoch 10, Batch    113, Loss  0.856921, Average Loss  0.868630, Time  0.448028
2021-09-25 17:40:14.127521 : Epoch  9, Batch    699, Loss  0.861654, Average Loss  0.869447, Time  0.457972
2021-09-25 17:40:14.974665 : Epoch 10, Batch    114, Loss  0.873890, Average Loss  0.868739, Time  0.445844
2021-09-25 17:40:20.153837 : Epoch  9, Batch    700, Loss  0.866719, Average Loss  0.869411, Time  0.444798
2021-09-25 17:40:21.044964 : Epoch 10, Batch    115, Loss  0.863715, Average Loss  0.868756, Time  0.458893
2021-09-25 17:40:26.171631 : Epoch  9, Batch    701, Loss  0.864965, Average Loss  0.869333, Time  0.445758
2021-09-25 17:40:27.091932 : Epoch 10, Batch    116, Loss  0.874469, Average Loss  0.868841, Time  0.446094
2021-09-25 17:40:32.209116 : Epoch  9, Batch    702, Loss  0.869087, Average Loss  0.869378, Time  0.443958
2021-09-25 17:40:33.129826 : Epoch 10, Batch    117, Loss  0.886559, Average Loss  0.868938, Time  0.445233
2021-09-25 17:40:38.237923 : Epoch  9, Batch    703, Loss  0.879590, Average Loss  0.869417, Time  0.444570
2021-09-25 17:40:39.161101 : Epoch 10, Batch    118, Loss  0.859589, Average Loss  0.868859, Time  0.449291
2021-09-25 17:40:44.284330 : Epoch  9, Batch    704, Loss  0.872934, Average Loss  0.869413, Time  0.445851
2021-09-25 17:40:45.195522 : Epoch 10, Batch    119, Loss  0.867141, Average Loss  0.868878, Time  0.444756
2021-09-25 17:40:50.308231 : Epoch  9, Batch    705, Loss  0.875107, Average Loss  0.869444, Time  0.446143
2021-09-25 17:40:51.233557 : Epoch 10, Batch    120, Loss  0.881889, Average Loss  0.868941, Time  0.445420
2021-09-25 17:40:56.328051 : Epoch  9, Batch    706, Loss  0.870593, Average Loss  0.869443, Time  0.446132
2021-09-25 17:40:57.290783 : Epoch 10, Batch    121, Loss  0.864961, Average Loss  0.868938, Time  0.444518
2021-09-25 17:41:02.390384 : Epoch  9, Batch    707, Loss  0.871435, Average Loss  0.869442, Time  0.458455
2021-09-25 17:41:03.356810 : Epoch 10, Batch    122, Loss  0.878164, Average Loss  0.868974, Time  0.463694
2021-09-25 17:41:08.403399 : Epoch  9, Batch    708, Loss  0.871059, Average Loss  0.869540, Time  0.443687
2021-09-25 17:41:09.386837 : Epoch 10, Batch    123, Loss  0.869348, Average Loss  0.868941, Time  0.446580
2021-09-25 17:41:14.444016 : Epoch  9, Batch    709, Loss  0.858634, Average Loss  0.869382, Time  0.443518
2021-09-25 17:41:15.441840 : Epoch 10, Batch    124, Loss  0.867951, Average Loss  0.868866, Time  0.447222
2021-09-25 17:41:20.477110 : Epoch  9, Batch    710, Loss  0.871454, Average Loss  0.869417, Time  0.449830
2021-09-25 17:41:21.486630 : Epoch 10, Batch    125, Loss  0.861466, Average Loss  0.868786, Time  0.444921
2021-09-25 17:41:26.496847 : Epoch  9, Batch    711, Loss  0.861450, Average Loss  0.869392, Time  0.444732
2021-09-25 17:41:27.521661 : Epoch 10, Batch    126, Loss  0.876153, Average Loss  0.868797, Time  0.447122
2021-09-25 17:41:32.510966 : Epoch  9, Batch    712, Loss  0.874068, Average Loss  0.869376, Time  0.444963
2021-09-25 17:41:33.564420 : Epoch 10, Batch    127, Loss  0.887807, Average Loss  0.868845, Time  0.445704
2021-09-25 17:41:38.531628 : Epoch  9, Batch    713, Loss  0.857967, Average Loss  0.869321, Time  0.446092
2021-09-25 17:41:39.593056 : Epoch 10, Batch    128, Loss  0.860864, Average Loss  0.868932, Time  0.447259
2021-09-25 17:41:44.566962 : Epoch  9, Batch    714, Loss  0.885619, Average Loss  0.869418, Time  0.456893
2021-09-25 17:41:45.635463 : Epoch 10, Batch    129, Loss  0.866296, Average Loss  0.868931, Time  0.445555
2021-09-25 17:41:50.588529 : Epoch  9, Batch    715, Loss  0.863023, Average Loss  0.869360, Time  0.447274
2021-09-25 17:41:51.672141 : Epoch 10, Batch    130, Loss  0.859025, Average Loss  0.868922, Time  0.453335
2021-09-25 17:41:56.625472 : Epoch  9, Batch    716, Loss  0.873472, Average Loss  0.869386, Time  0.444535
2021-09-25 17:41:57.704249 : Epoch 10, Batch    131, Loss  0.849368, Average Loss  0.868824, Time  0.445383
2021-09-25 17:42:02.655496 : Epoch  9, Batch    717, Loss  0.856663, Average Loss  0.869360, Time  0.445510
2021-09-25 17:42:03.746370 : Epoch 10, Batch    132, Loss  0.891113, Average Loss  0.868979, Time  0.445242
2021-09-25 17:42:08.672632 : Epoch  9, Batch    718, Loss  0.878709, Average Loss  0.869438, Time  0.447654
2021-09-25 17:42:09.795036 : Epoch 10, Batch    133, Loss  0.879803, Average Loss  0.869160, Time  0.447018
2021-09-25 17:42:14.703399 : Epoch  9, Batch    719, Loss  0.859076, Average Loss  0.869411, Time  0.447333
2021-09-25 17:42:15.834294 : Epoch 10, Batch    134, Loss  0.889675, Average Loss  0.869291, Time  0.444968
2021-09-25 17:42:20.779563 : Epoch  9, Batch    720, Loss  0.876273, Average Loss  0.869482, Time  0.446831
2021-09-25 17:42:21.876085 : Epoch 10, Batch    135, Loss  0.865815, Average Loss  0.869275, Time  0.447424
2021-09-25 17:42:26.819659 : Epoch  9, Batch    721, Loss  0.861232, Average Loss  0.869497, Time  0.444381
2021-09-25 17:42:27.921699 : Epoch 10, Batch    136, Loss  0.854301, Average Loss  0.869172, Time  0.444744
2021-09-25 17:42:32.880155 : Epoch  9, Batch    722, Loss  0.843847, Average Loss  0.869345, Time  0.453454
2021-09-25 17:42:33.978730 : Epoch 10, Batch    137, Loss  0.878948, Average Loss  0.869171, Time  0.461735
2021-09-25 17:42:38.890234 : Epoch  9, Batch    723, Loss  0.875721, Average Loss  0.869392, Time  0.447063
2021-09-25 17:42:40.008900 : Epoch 10, Batch    138, Loss  0.875238, Average Loss  0.869179, Time  0.446405
2021-09-25 17:42:44.919902 : Epoch  9, Batch    724, Loss  0.860199, Average Loss  0.869286, Time  0.449852
2021-09-25 17:42:46.044165 : Epoch 10, Batch    139, Loss  0.883899, Average Loss  0.869284, Time  0.444813
2021-09-25 17:42:50.942594 : Epoch  9, Batch    725, Loss  0.860706, Average Loss  0.869276, Time  0.444676
2021-09-25 17:42:52.096113 : Epoch 10, Batch    140, Loss  0.861217, Average Loss  0.869209, Time  0.445267
2021-09-25 17:42:56.980438 : Epoch  9, Batch    726, Loss  0.881315, Average Loss  0.869358, Time  0.444354
2021-09-25 17:42:58.134940 : Epoch 10, Batch    141, Loss  0.875171, Average Loss  0.869230, Time  0.448565
2021-09-25 17:43:03.000311 : Epoch  9, Batch    727, Loss  0.857181, Average Loss  0.869238, Time  0.445731
2021-09-25 17:43:04.187092 : Epoch 10, Batch    142, Loss  0.872893, Average Loss  0.869202, Time  0.449856
2021-09-25 17:43:09.018194 : Epoch  9, Batch    728, Loss  0.876262, Average Loss  0.869233, Time  0.445597
2021-09-25 17:43:10.228338 : Epoch 10, Batch    143, Loss  0.863938, Average Loss  0.869191, Time  0.447415
2021-09-25 17:43:15.034975 : Epoch  9, Batch    729, Loss  0.896250, Average Loss  0.869333, Time  0.443647
2021-09-25 17:43:16.267912 : Epoch 10, Batch    144, Loss  0.867546, Average Loss  0.869160, Time  0.447557
2021-09-25 17:43:21.068840 : Epoch  9, Batch    730, Loss  0.856269, Average Loss  0.869242, Time  0.460549
2021-09-25 17:43:22.309676 : Epoch 10, Batch    145, Loss  0.882170, Average Loss  0.869170, Time  0.462668
2021-09-25 17:43:27.103485 : Epoch  9, Batch    731, Loss  0.854641, Average Loss  0.869133, Time  0.444745
2021-09-25 17:43:28.356681 : Epoch 10, Batch    146, Loss  0.850766, Average Loss  0.869108, Time  0.446260
2021-09-25 17:43:33.134471 : Epoch  9, Batch    732, Loss  0.864450, Average Loss  0.869101, Time  0.444375
2021-09-25 17:43:34.397576 : Epoch 10, Batch    147, Loss  0.865557, Average Loss  0.869098, Time  0.449640
2021-09-25 17:43:39.150123 : Epoch  9, Batch    733, Loss  0.857241, Average Loss  0.869022, Time  0.443818
2021-09-25 17:43:40.428627 : Epoch 10, Batch    148, Loss  0.866648, Average Loss  0.869023, Time  0.447519
2021-09-25 17:43:45.194869 : Epoch  9, Batch    734, Loss  0.854217, Average Loss  0.869011, Time  0.445388
2021-09-25 17:43:51.237961 : Epoch  9, Batch    735, Loss  0.860476, Average Loss  0.868936, Time  0.446113
2021-09-25 17:43:57.258060 : Epoch  9, Batch    736, Loss  0.863849, Average Loss  0.868991, Time  0.443637
2021-09-25 17:44:03.278141 : Epoch  9, Batch    737, Loss  0.872749, Average Loss  0.869030, Time  0.456897
2021-09-25 17:44:09.306054 : Epoch  9, Batch    738, Loss  0.870720, Average Loss  0.868973, Time  0.445377
2021-09-25 17:44:15.333709 : Epoch  9, Batch    739, Loss  0.870903, Average Loss  0.869023, Time  0.445080
2021-09-25 17:44:21.369900 : Epoch  9, Batch    740, Loss  0.871143, Average Loss  0.869071, Time  0.445484
2021-09-25 17:44:27.384203 : Epoch  9, Batch    741, Loss  0.869406, Average Loss  0.869016, Time  0.445341
2021-09-25 17:44:33.417577 : Epoch  9, Batch    742, Loss  0.862843, Average Loss  0.868995, Time  0.444623
2021-09-25 17:44:39.444575 : Epoch  9, Batch    743, Loss  0.875234, Average Loss  0.869036, Time  0.444609
2021-09-25 17:44:45.482029 : Epoch  9, Batch    744, Loss  0.867844, Average Loss  0.869022, Time  0.445801
2021-09-25 17:44:51.519792 : Epoch  9, Batch    745, Loss  0.851531, Average Loss  0.868915, Time  0.458730
2021-09-25 17:44:57.560181 : Epoch  9, Batch    746, Loss  0.875045, Average Loss  0.868932, Time  0.444061
2021-09-25 17:45:03.608294 : Epoch  9, Batch    747, Loss  0.888001, Average Loss  0.868971, Time  0.444216
2021-09-25 17:45:09.642677 : Epoch  9, Batch    748, Loss  0.882079, Average Loss  0.869086, Time  0.443818
2021-09-25 17:45:15.674870 : Epoch  9, Batch    749, Loss  0.866078, Average Loss  0.869052, Time  0.443733
2021-09-25 17:45:21.732678 : Epoch  9, Batch    750, Loss  0.866682, Average Loss  0.869028, Time  0.449007
2021-09-25 17:45:27.764417 : Epoch  9, Batch    751, Loss  0.877519, Average Loss  0.869080, Time  0.445699
2021-09-25 17:45:33.814913 : Epoch  9, Batch    752, Loss  0.886704, Average Loss  0.869113, Time  0.457196
2021-09-25 17:45:39.850069 : Epoch  9, Batch    753, Loss  0.885470, Average Loss  0.869165, Time  0.445097
2021-09-25 17:45:45.872197 : Epoch  9, Batch    754, Loss  0.873525, Average Loss  0.869199, Time  0.444224
2021-09-25 17:45:51.897840 : Epoch  9, Batch    755, Loss  0.882196, Average Loss  0.869338, Time  0.446839
2021-09-25 17:45:57.909665 : Epoch  9, Batch    756, Loss  0.876606, Average Loss  0.869392, Time  0.444205
2021-09-25 17:46:03.944454 : Epoch  9, Batch    757, Loss  0.866129, Average Loss  0.869389, Time  0.445775
2021-09-25 17:46:09.973532 : Epoch  9, Batch    758, Loss  0.886963, Average Loss  0.869488, Time  0.447879
2021-09-25 17:46:15.995242 : Epoch  9, Batch    759, Loss  0.853362, Average Loss  0.869418, Time  0.444345
2021-09-25 17:46:22.013269 : Epoch  9, Batch    760, Loss  0.875190, Average Loss  0.869383, Time  0.451273
2021-09-25 17:46:28.038132 : Epoch  9, Batch    761, Loss  0.875083, Average Loss  0.869445, Time  0.444323
2021-09-25 17:46:34.084106 : Epoch  9, Batch    762, Loss  0.878639, Average Loss  0.869511, Time  0.443831
2021-09-25 17:46:40.117637 : Epoch  9, Batch    763, Loss  0.883062, Average Loss  0.869550, Time  0.449282
2021-09-25 17:46:46.180634 : Epoch  9, Batch    764, Loss  0.869368, Average Loss  0.869535, Time  0.446284
2021-09-25 17:46:52.199894 : Epoch  9, Batch    765, Loss  0.856991, Average Loss  0.869487, Time  0.444027
2021-09-25 17:46:58.225888 : Epoch  9, Batch    766, Loss  0.867469, Average Loss  0.869479, Time  0.445080
2021-09-25 17:47:04.262904 : Epoch  9, Batch    767, Loss  0.874979, Average Loss  0.869499, Time  0.455690
2021-09-25 17:47:10.291038 : Epoch  9, Batch    768, Loss  0.879919, Average Loss  0.869550, Time  0.444592
2021-09-25 17:47:16.293807 : Epoch  9, Batch    769, Loss  0.864981, Average Loss  0.869594, Time  0.444225
2021-09-25 17:47:22.320086 : Epoch  9, Batch    770, Loss  0.869954, Average Loss  0.869560, Time  0.446409
2021-09-25 17:47:28.348477 : Epoch  9, Batch    771, Loss  0.859027, Average Loss  0.869486, Time  0.444191
2021-09-25 17:47:34.362784 : Epoch  9, Batch    772, Loss  0.872421, Average Loss  0.869427, Time  0.446232
2021-09-25 17:47:40.384417 : Epoch  9, Batch    773, Loss  0.878713, Average Loss  0.869487, Time  0.445214
2021-09-25 17:47:46.409158 : Epoch  9, Batch    774, Loss  0.867665, Average Loss  0.869500, Time  0.444386
2021-09-25 17:47:52.438384 : Epoch  9, Batch    775, Loss  0.865668, Average Loss  0.869448, Time  0.449602
2021-09-25 17:47:58.465853 : Epoch  9, Batch    776, Loss  0.851374, Average Loss  0.869281, Time  0.444335
2021-09-25 17:48:25.170384 : CheckPoint: Validation Loss  0.00014869, Best Loss  0.00014749
2021-09-25 17:48:31.237918 : Epoch 10, Batch    149, Loss  0.852065, Average Loss  0.868908, Time  0.445056
2021-09-25 17:48:37.294570 : Epoch 10, Batch    150, Loss  0.868651, Average Loss  0.868894, Time  0.446401
2021-09-25 17:48:43.371401 : Epoch 10, Batch    151, Loss  0.851394, Average Loss  0.868826, Time  0.464795
2021-09-25 17:48:49.419323 : Epoch 10, Batch    152, Loss  0.870880, Average Loss  0.868845, Time  0.446720
2021-09-25 17:48:55.514769 : Epoch 10, Batch    153, Loss  0.882450, Average Loss  0.868883, Time  0.446066
2021-09-25 17:49:01.581025 : Epoch 10, Batch    154, Loss  0.875077, Average Loss  0.868896, Time  0.444770
2021-09-25 17:49:07.671723 : Epoch 10, Batch    155, Loss  0.861179, Average Loss  0.868883, Time  0.448744
2021-09-25 17:49:13.740593 : Epoch 10, Batch    156, Loss  0.867720, Average Loss  0.868854, Time  0.445568
2021-09-25 17:49:19.812489 : Epoch 10, Batch    157, Loss  0.874978, Average Loss  0.868843, Time  0.444802
2021-09-25 17:49:25.877126 : Epoch 10, Batch    158, Loss  0.871469, Average Loss  0.868863, Time  0.455111
2021-09-25 17:49:31.940521 : Epoch 10, Batch    159, Loss  0.879014, Average Loss  0.868878, Time  0.449715
2021-09-25 17:49:38.029193 : Epoch 10, Batch    160, Loss  0.880692, Average Loss  0.868902, Time  0.451462
2021-09-25 17:49:44.105898 : Epoch 10, Batch    161, Loss  0.870535, Average Loss  0.868888, Time  0.444963
2021-09-25 17:49:50.191685 : Epoch 10, Batch    162, Loss  0.868225, Average Loss  0.868856, Time  0.446186
2021-09-25 17:49:56.275124 : Epoch 10, Batch    163, Loss  0.874459, Average Loss  0.868823, Time  0.445011
2021-09-25 17:50:02.358393 : Epoch 10, Batch    164, Loss  0.868295, Average Loss  0.868797, Time  0.447238
2021-09-25 17:50:08.443019 : Epoch 10, Batch    165, Loss  0.865425, Average Loss  0.868736, Time  0.447352
2021-09-25 17:50:14.506873 : Epoch 10, Batch    166, Loss  0.855891, Average Loss  0.868658, Time  0.454621
2021-09-25 17:50:20.586576 : Epoch 10, Batch    167, Loss  0.875249, Average Loss  0.868704, Time  0.445809
2021-09-25 17:50:26.667615 : Epoch 10, Batch    168, Loss  0.880583, Average Loss  0.868777, Time  0.448425
2021-09-25 17:50:32.745405 : Epoch 10, Batch    169, Loss  0.868285, Average Loss  0.868744, Time  0.447788
2021-09-25 17:50:38.816948 : Epoch 10, Batch    170, Loss  0.868619, Average Loss  0.868828, Time  0.446360
2021-09-25 17:50:44.883985 : Epoch 10, Batch    171, Loss  0.856403, Average Loss  0.868690, Time  0.446974
2021-09-25 17:50:50.947419 : Epoch 10, Batch    172, Loss  0.861378, Average Loss  0.868635, Time  0.447650
2021-09-25 17:50:57.025573 : Epoch 10, Batch    173, Loss  0.866158, Average Loss  0.868674, Time  0.470237
2021-09-25 17:51:03.108566 : Epoch 10, Batch    174, Loss  0.872683, Average Loss  0.868651, Time  0.449202
2021-09-25 17:51:09.182942 : Epoch 10, Batch    175, Loss  0.868608, Average Loss  0.868682, Time  0.448956
2021-09-25 17:51:15.265246 : Epoch 10, Batch    176, Loss  0.861805, Average Loss  0.868629, Time  0.445364
2021-09-25 17:51:21.326075 : Epoch 10, Batch    177, Loss  0.891523, Average Loss  0.868835, Time  0.444536
2021-09-25 17:51:27.392005 : Epoch 10, Batch    178, Loss  0.867598, Average Loss  0.868899, Time  0.448925
2021-09-25 17:51:33.450825 : Epoch 10, Batch    179, Loss  0.872557, Average Loss  0.868914, Time  0.445877
2021-09-25 17:51:39.507650 : Epoch 10, Batch    180, Loss  0.874863, Average Loss  0.868919, Time  0.444873
2021-09-25 17:51:45.594293 : Epoch 10, Batch    181, Loss  0.857139, Average Loss  0.868801, Time  0.454797
2021-09-25 17:51:51.691958 : Epoch 10, Batch    182, Loss  0.858734, Average Loss  0.868770, Time  0.445231
2021-09-25 17:51:57.774641 : Epoch 10, Batch    183, Loss  0.872643, Average Loss  0.868774, Time  0.450152
2021-09-25 17:52:03.847842 : Epoch 10, Batch    184, Loss  0.864163, Average Loss  0.868714, Time  0.446969
2021-09-25 17:52:09.902872 : Epoch 10, Batch    185, Loss  0.884229, Average Loss  0.868796, Time  0.447151
2021-09-25 17:52:15.962860 : Epoch 10, Batch    186, Loss  0.869048, Average Loss  0.868832, Time  0.445065
2021-09-25 17:52:22.014820 : Epoch 10, Batch    187, Loss  0.873640, Average Loss  0.868940, Time  0.446022
2021-09-25 17:52:28.078882 : Epoch 10, Batch    188, Loss  0.878352, Average Loss  0.868940, Time  0.453764
2021-09-25 17:52:34.154986 : Epoch 10, Batch    189, Loss  0.863789, Average Loss  0.868913, Time  0.450153
2021-09-25 17:52:40.227706 : Epoch 10, Batch    190, Loss  0.867516, Average Loss  0.868932, Time  0.445935
2021-09-25 17:52:43.780125 : CheckPoint: Validation Loss  0.00014985, Best Loss  0.00014737
2021-09-25 17:52:46.285431 : Epoch 10, Batch    191, Loss  0.856256, Average Loss  0.868891, Time  0.445463
2021-09-25 17:52:49.820950 : Epoch  9, Batch    777, Loss  0.870907, Average Loss  0.869343, Time  0.444231
2021-09-25 17:52:52.357756 : Epoch 10, Batch    192, Loss  0.864481, Average Loss  0.868891, Time  0.444920
2021-09-25 17:52:55.865520 : Epoch  9, Batch    778, Loss  0.866834, Average Loss  0.869313, Time  0.444285
2021-09-25 17:52:58.442901 : Epoch 10, Batch    193, Loss  0.873062, Average Loss  0.868955, Time  0.445699
2021-09-25 17:53:01.899242 : Epoch  9, Batch    779, Loss  0.876414, Average Loss  0.869319, Time  0.445229
2021-09-25 17:53:04.518231 : Epoch 10, Batch    194, Loss  0.863816, Average Loss  0.869015, Time  0.445390
2021-09-25 17:53:07.936348 : Epoch  9, Batch    780, Loss  0.883632, Average Loss  0.869414, Time  0.444240
2021-09-25 17:53:10.604702 : Epoch 10, Batch    195, Loss  0.858149, Average Loss  0.868938, Time  0.445889
2021-09-25 17:53:13.997286 : Epoch  9, Batch    781, Loss  0.874134, Average Loss  0.869412, Time  0.465014
2021-09-25 17:53:16.686679 : Epoch 10, Batch    196, Loss  0.866035, Average Loss  0.868944, Time  0.456121
2021-09-25 17:53:20.018919 : Epoch  9, Batch    782, Loss  0.869408, Average Loss  0.869408, Time  0.444987
2021-09-25 17:53:22.786810 : Epoch 10, Batch    197, Loss  0.874664, Average Loss  0.869039, Time  0.447173
2021-09-25 17:53:26.045820 : Epoch  9, Batch    783, Loss  0.875503, Average Loss  0.869485, Time  0.445077
2021-09-25 17:53:28.867565 : Epoch 10, Batch    198, Loss  0.858503, Average Loss  0.869003, Time  0.445413
2021-09-25 17:53:32.061458 : Epoch  9, Batch    784, Loss  0.881689, Average Loss  0.869605, Time  0.445127
2021-09-25 17:53:34.932682 : Epoch 10, Batch    199, Loss  0.865100, Average Loss  0.869008, Time  0.448663
2021-09-25 17:53:38.105090 : Epoch  9, Batch    785, Loss  0.882153, Average Loss  0.869722, Time  0.445328
2021-09-25 17:53:40.994015 : Epoch 10, Batch    200, Loss  0.875388, Average Loss  0.869045, Time  0.446150
2021-09-25 17:53:44.136699 : Epoch  9, Batch    786, Loss  0.879469, Average Loss  0.869740, Time  0.445129
2021-09-25 17:53:47.047110 : Epoch 10, Batch    201, Loss  0.862530, Average Loss  0.869071, Time  0.446926
2021-09-25 17:53:50.178313 : Epoch  9, Batch    787, Loss  0.860755, Average Loss  0.869661, Time  0.445088
2021-09-25 17:53:53.120875 : Epoch 10, Batch    202, Loss  0.879835, Average Loss  0.869145, Time  0.446936
2021-09-25 17:53:56.211909 : Epoch  9, Batch    788, Loss  0.857230, Average Loss  0.869506, Time  0.455615
2021-09-25 17:53:59.219989 : Epoch 10, Batch    203, Loss  0.864318, Average Loss  0.869162, Time  0.464978
2021-09-25 17:54:02.241829 : Epoch  9, Batch    789, Loss  0.869119, Average Loss  0.869539, Time  0.443995
2021-09-25 17:54:05.299927 : Epoch 10, Batch    204, Loss  0.883664, Average Loss  0.869197, Time  0.449536
2021-09-25 17:54:08.276352 : Epoch  9, Batch    790, Loss  0.861291, Average Loss  0.869539, Time  0.444262
2021-09-25 17:54:11.353617 : Epoch 10, Batch    205, Loss  0.870711, Average Loss  0.869170, Time  0.446009
2021-09-25 17:54:14.306663 : Epoch  9, Batch    791, Loss  0.867840, Average Loss  0.869534, Time  0.444238
2021-09-25 17:54:17.429982 : Epoch 10, Batch    206, Loss  0.883611, Average Loss  0.869297, Time  0.450590
2021-09-25 17:54:20.338353 : Epoch  9, Batch    792, Loss  0.864567, Average Loss  0.869489, Time  0.446658
2021-09-25 17:54:23.493309 : Epoch 10, Batch    207, Loss  0.868554, Average Loss  0.869319, Time  0.446715
2021-09-25 17:54:26.344754 : Epoch  9, Batch    793, Loss  0.864850, Average Loss  0.869444, Time  0.443897
2021-09-25 17:54:29.561653 : Epoch 10, Batch    208, Loss  0.876452, Average Loss  0.869390, Time  0.445349
2021-09-25 17:54:32.344817 : Epoch  9, Batch    794, Loss  0.873509, Average Loss  0.869460, Time  0.443764
2021-09-25 17:54:35.614449 : Epoch 10, Batch    209, Loss  0.872298, Average Loss  0.869425, Time  0.447371
2021-09-25 17:54:38.359133 : Epoch  9, Batch    795, Loss  0.877487, Average Loss  0.869528, Time  0.445762
2021-09-25 17:54:41.676153 : Epoch 10, Batch    210, Loss  0.868911, Average Loss  0.869458, Time  0.450854
2021-09-25 17:54:44.418709 : Epoch  9, Batch    796, Loss  0.878554, Average Loss  0.869582, Time  0.460708
2021-09-25 17:54:47.762678 : Epoch 10, Batch    211, Loss  0.860652, Average Loss  0.869442, Time  0.455493
2021-09-25 17:54:50.453032 : Epoch  9, Batch    797, Loss  0.874828, Average Loss  0.869618, Time  0.445900
2021-09-25 17:54:53.830675 : Epoch 10, Batch    212, Loss  0.876155, Average Loss  0.869380, Time  0.445231
2021-09-25 17:54:56.478379 : Epoch  9, Batch    798, Loss  0.873543, Average Loss  0.869633, Time  0.444244
2021-09-25 17:54:59.899482 : Epoch 10, Batch    213, Loss  0.874292, Average Loss  0.869432, Time  0.448616
2021-09-25 17:55:02.540850 : Epoch  9, Batch    799, Loss  0.871347, Average Loss  0.869686, Time  0.445902
2021-09-25 17:55:05.991839 : Epoch 10, Batch    214, Loss  0.874134, Average Loss  0.869459, Time  0.446440
2021-09-25 17:55:08.587411 : Epoch  9, Batch    800, Loss  0.869542, Average Loss  0.869687, Time  0.446863
2021-09-25 17:55:12.073217 : Epoch 10, Batch    215, Loss  0.863182, Average Loss  0.869391, Time  0.448875
2021-09-25 17:55:14.620865 : Epoch  9, Batch    801, Loss  0.868553, Average Loss  0.869689, Time  0.443738
2021-09-25 17:55:18.143974 : Epoch 10, Batch    216, Loss  0.877988, Average Loss  0.869433, Time  0.447937
2021-09-25 17:55:20.655284 : Epoch  9, Batch    802, Loss  0.860817, Average Loss  0.869536, Time  0.445218
2021-09-25 17:55:24.197216 : Epoch 10, Batch    217, Loss  0.863005, Average Loss  0.869437, Time  0.446773
2021-09-25 17:55:26.661993 : Epoch  9, Batch    803, Loss  0.869074, Average Loss  0.869519, Time  0.450182
2021-09-25 17:55:30.315852 : Epoch 10, Batch    218, Loss  0.866134, Average Loss  0.869458, Time  0.459790
2021-09-25 17:55:32.701422 : Epoch  9, Batch    804, Loss  0.870454, Average Loss  0.869490, Time  0.447263
2021-09-25 17:55:36.381971 : Epoch 10, Batch    219, Loss  0.860123, Average Loss  0.869360, Time  0.444965
2021-09-25 17:55:38.728139 : Epoch  9, Batch    805, Loss  0.847430, Average Loss  0.869398, Time  0.447330
2021-09-25 17:55:42.448915 : Epoch 10, Batch    220, Loss  0.882032, Average Loss  0.869418, Time  0.444952
2021-09-25 17:55:43.148703 : Epoch  9, Batch    806, Loss  0.870474, Average Loss  0.869383, Time  0.346922
2021-09-25 17:55:48.504847 : Epoch 10, Batch    221, Loss  0.871140, Average Loss  0.869470, Time  0.447406
2021-09-25 17:55:49.162952 : Epoch  9, Batch    807, Loss  0.874231, Average Loss  0.869398, Time  0.444571
2021-09-25 17:55:54.597975 : Epoch 10, Batch    222, Loss  0.872838, Average Loss  0.869537, Time  0.452443
2021-09-25 17:55:55.203088 : Epoch  9, Batch    808, Loss  0.884055, Average Loss  0.869409, Time  0.444678
2021-09-25 17:56:00.683607 : Epoch 10, Batch    223, Loss  0.876970, Average Loss  0.869523, Time  0.448512
2021-09-25 17:56:01.214990 : Epoch  9, Batch    809, Loss  0.865945, Average Loss  0.869358, Time  0.443472
2021-09-25 17:56:06.735310 : Epoch 10, Batch    224, Loss  0.877068, Average Loss  0.869564, Time  0.445293
2021-09-25 17:56:07.243685 : Epoch  9, Batch    810, Loss  0.865932, Average Loss  0.869356, Time  0.446505
2021-09-25 17:56:12.799835 : Epoch 10, Batch    225, Loss  0.856111, Average Loss  0.869546, Time  0.444969
2021-09-25 17:56:13.280902 : Epoch  9, Batch    811, Loss  0.871381, Average Loss  0.869320, Time  0.451745
2021-09-25 17:56:18.895280 : Epoch 10, Batch    226, Loss  0.867663, Average Loss  0.869524, Time  0.461916
2021-09-25 17:56:19.305463 : Epoch  9, Batch    812, Loss  0.857175, Average Loss  0.869241, Time  0.445074
2021-09-25 17:56:24.965782 : Epoch 10, Batch    227, Loss  0.869601, Average Loss  0.869564, Time  0.445682
2021-09-25 17:56:25.352864 : Epoch  9, Batch    813, Loss  0.873202, Average Loss  0.869260, Time  0.446514
2021-09-25 17:56:31.034476 : Epoch 10, Batch    228, Loss  0.855002, Average Loss  0.869438, Time  0.447223
2021-09-25 17:56:31.381398 : Epoch  9, Batch    814, Loss  0.867634, Average Loss  0.869209, Time  0.443953
2021-09-25 17:56:37.084141 : Epoch 10, Batch    229, Loss  0.862067, Average Loss  0.869362, Time  0.445938
2021-09-25 17:56:37.404173 : Epoch  9, Batch    815, Loss  0.872340, Average Loss  0.869244, Time  0.444762
2021-09-25 17:56:43.152073 : Epoch 10, Batch    230, Loss  0.874406, Average Loss  0.869456, Time  0.448813
2021-09-25 17:56:43.431522 : Epoch  9, Batch    816, Loss  0.857791, Average Loss  0.869288, Time  0.444598
2021-09-25 17:56:49.224451 : Epoch 10, Batch    231, Loss  0.878888, Average Loss  0.869543, Time  0.454848
2021-09-25 17:56:49.455683 : Epoch  9, Batch    817, Loss  0.873832, Average Loss  0.869354, Time  0.444366
2021-09-25 17:56:55.304471 : Epoch 10, Batch    232, Loss  0.876502, Average Loss  0.869536, Time  0.446476
2021-09-25 17:56:55.518258 : Epoch  9, Batch    818, Loss  0.866246, Average Loss  0.869418, Time  0.445835
2021-09-25 17:57:01.398454 : Epoch 10, Batch    233, Loss  0.865708, Average Loss  0.869468, Time  0.461752
2021-09-25 17:57:01.557602 : Epoch  9, Batch    819, Loss  0.877012, Average Loss  0.869411, Time  0.453989
2021-09-25 17:57:07.472278 : Epoch 10, Batch    234, Loss  0.871304, Average Loss  0.869429, Time  0.447852
2021-09-25 17:57:07.576935 : Epoch  9, Batch    820, Loss  0.881084, Average Loss  0.869471, Time  0.444966
2021-09-25 17:57:13.552685 : Epoch 10, Batch    235, Loss  0.871120, Average Loss  0.869371, Time  0.445585
2021-09-25 17:57:13.609525 : Epoch  9, Batch    821, Loss  0.860176, Average Loss  0.869487, Time  0.444613
2021-09-25 17:57:19.627045 : Epoch 10, Batch    236, Loss  0.876477, Average Loss  0.869448, Time  0.444408
2021-09-25 17:57:19.656280 : Epoch  9, Batch    822, Loss  0.856172, Average Loss  0.869331, Time  0.448396
2021-09-25 17:57:25.682452 : Epoch 10, Batch    237, Loss  0.863656, Average Loss  0.869490, Time  0.447845
2021-09-25 17:57:25.707786 : Epoch  9, Batch    823, Loss  0.855058, Average Loss  0.869194, Time  0.445564
2021-09-25 17:57:31.733134 : Epoch  9, Batch    824, Loss  0.886348, Average Loss  0.869330, Time  0.444267
2021-09-25 17:57:31.762667 : Epoch 10, Batch    238, Loss  0.869248, Average Loss  0.869515, Time  0.445045
2021-09-25 17:57:37.756818 : Epoch  9, Batch    825, Loss  0.879482, Average Loss  0.869287, Time  0.445314
2021-09-25 17:57:37.824839 : Epoch 10, Batch    239, Loss  0.859927, Average Loss  0.869511, Time  0.445289
2021-09-25 17:57:43.792864 : Epoch  9, Batch    826, Loss  0.890703, Average Loss  0.869338, Time  0.460668
2021-09-25 17:57:43.887899 : Epoch 10, Batch    240, Loss  0.870879, Average Loss  0.869523, Time  0.447981
2021-09-25 17:57:49.811280 : Epoch  9, Batch    827, Loss  0.857461, Average Loss  0.869207, Time  0.445174
2021-09-25 17:57:49.937765 : Epoch 10, Batch    241, Loss  0.885598, Average Loss  0.869626, Time  0.457402
2021-09-25 17:57:55.838151 : Epoch  9, Batch    828, Loss  0.865677, Average Loss  0.869197, Time  0.444001
2021-09-25 17:57:55.985835 : Epoch 10, Batch    242, Loss  0.872620, Average Loss  0.869554, Time  0.445013
2021-09-25 17:58:01.853692 : Epoch  9, Batch    829, Loss  0.864118, Average Loss  0.869155, Time  0.445034
2021-09-25 17:58:02.052335 : Epoch 10, Batch    243, Loss  0.887089, Average Loss  0.869655, Time  0.445209
2021-09-25 17:58:07.862935 : Epoch  9, Batch    830, Loss  0.851624, Average Loss  0.869024, Time  0.451169
2021-09-25 17:58:08.112552 : Epoch 10, Batch    244, Loss  0.871933, Average Loss  0.869714, Time  0.445930
2021-09-25 17:58:13.863678 : Epoch  9, Batch    831, Loss  0.868287, Average Loss  0.869066, Time  0.446235
2021-09-25 17:58:14.158638 : Epoch 10, Batch    245, Loss  0.863756, Average Loss  0.869773, Time  0.446381
2021-09-25 17:58:19.895099 : Epoch  9, Batch    832, Loss  0.869883, Average Loss  0.869075, Time  0.444665
2021-09-25 17:58:20.239052 : Epoch 10, Batch    246, Loss  0.864504, Average Loss  0.869664, Time  0.444949
2021-09-25 17:58:25.926078 : Epoch  9, Batch    833, Loss  0.874084, Average Loss  0.869034, Time  0.445859
2021-09-25 17:58:26.286052 : Epoch 10, Batch    247, Loss  0.869104, Average Loss  0.869644, Time  0.445888
2021-09-25 17:58:31.969708 : Epoch  9, Batch    834, Loss  0.867575, Average Loss  0.869012, Time  0.454819
2021-09-25 17:58:32.375717 : Epoch 10, Batch    248, Loss  0.864684, Average Loss  0.869627, Time  0.455587
2021-09-25 17:58:38.013110 : Epoch  9, Batch    835, Loss  0.864867, Average Loss  0.868958, Time  0.445032
2021-09-25 17:58:44.035904 : Epoch  9, Batch    836, Loss  0.867144, Average Loss  0.868950, Time  0.453478
2021-09-25 17:58:50.060252 : Epoch  9, Batch    837, Loss  0.869484, Average Loss  0.869039, Time  0.448415
2021-09-25 17:58:56.090935 : Epoch  9, Batch    838, Loss  0.854866, Average Loss  0.869010, Time  0.444755
2021-09-25 17:59:02.119826 : Epoch  9, Batch    839, Loss  0.877355, Average Loss  0.869083, Time  0.449160
2021-09-25 17:59:08.157652 : Epoch  9, Batch    840, Loss  0.858196, Average Loss  0.869098, Time  0.444376
2021-09-25 17:59:14.200234 : Epoch  9, Batch    841, Loss  0.882818, Average Loss  0.869234, Time  0.457652
2021-09-25 17:59:20.227165 : Epoch  9, Batch    842, Loss  0.879663, Average Loss  0.869274, Time  0.444420
2021-09-25 17:59:26.254633 : Epoch  9, Batch    843, Loss  0.862940, Average Loss  0.869173, Time  0.443759
2021-09-25 17:59:32.264407 : Epoch  9, Batch    844, Loss  0.871478, Average Loss  0.869102, Time  0.443913
2021-09-25 17:59:38.290166 : Epoch  9, Batch    845, Loss  0.856521, Average Loss  0.868992, Time  0.444811
2021-09-25 17:59:44.309707 : Epoch  9, Batch    846, Loss  0.869745, Average Loss  0.868937, Time  0.444602
2021-09-25 17:59:50.333481 : Epoch  9, Batch    847, Loss  0.882188, Average Loss  0.868993, Time  0.452350
2021-09-25 17:59:56.355310 : Epoch  9, Batch    848, Loss  0.885816, Average Loss  0.869061, Time  0.444934
2021-09-25 18:00:02.383445 : Epoch  9, Batch    849, Loss  0.861320, Average Loss  0.869092, Time  0.455895
2021-09-25 18:00:08.416340 : Epoch  9, Batch    850, Loss  0.873095, Average Loss  0.869151, Time  0.447244
2021-09-25 18:00:14.429141 : Epoch  9, Batch    851, Loss  0.874426, Average Loss  0.869182, Time  0.445193
2021-09-25 18:00:20.460886 : Epoch  9, Batch    852, Loss  0.870597, Average Loss  0.869222, Time  0.447634
2021-09-25 18:00:26.491124 : Epoch  9, Batch    853, Loss  0.889673, Average Loss  0.869399, Time  0.450379
2021-09-25 18:00:32.510183 : Epoch  9, Batch    854, Loss  0.871853, Average Loss  0.869513, Time  0.445405
2021-09-25 18:00:38.534156 : Epoch  9, Batch    855, Loss  0.878569, Average Loss  0.869509, Time  0.443996
2021-09-25 18:00:44.566935 : Epoch  9, Batch    856, Loss  0.885832, Average Loss  0.869678, Time  0.461126
2021-09-25 18:00:50.596478 : Epoch  9, Batch    857, Loss  0.861883, Average Loss  0.869657, Time  0.446208
2021-09-25 18:00:56.628595 : Epoch  9, Batch    858, Loss  0.862746, Average Loss  0.869696, Time  0.445641
2021-09-25 18:01:02.633924 : Epoch  9, Batch    859, Loss  0.876748, Average Loss  0.869735, Time  0.445623
2021-09-25 18:01:08.640879 : Epoch  9, Batch    860, Loss  0.876649, Average Loss  0.869690, Time  0.444934
2021-09-25 18:01:14.654867 : Epoch  9, Batch    861, Loss  0.858293, Average Loss  0.869670, Time  0.443596
2021-09-25 18:01:20.666363 : Epoch  9, Batch    862, Loss  0.876919, Average Loss  0.869652, Time  0.444841
2021-09-25 18:01:26.677621 : Epoch  9, Batch    863, Loss  0.856476, Average Loss  0.869601, Time  0.444430
2021-09-25 18:01:32.723337 : Epoch  9, Batch    864, Loss  0.870152, Average Loss  0.869647, Time  0.459912
2021-09-25 18:01:38.743023 : Epoch  9, Batch    865, Loss  0.875306, Average Loss  0.869648, Time  0.444844
2021-09-25 18:01:44.754152 : Epoch  9, Batch    866, Loss  0.862662, Average Loss  0.869648, Time  0.444036
2021-09-25 18:01:50.785643 : Epoch  9, Batch    867, Loss  0.866395, Average Loss  0.869616, Time  0.444862
2021-09-25 18:01:56.816904 : Epoch  9, Batch    868, Loss  0.873511, Average Loss  0.869674, Time  0.453159
2021-09-25 18:02:02.838432 : Epoch  9, Batch    869, Loss  0.859176, Average Loss  0.869634, Time  0.449942
2021-09-25 18:02:08.867362 : Epoch  9, Batch    870, Loss  0.872429, Average Loss  0.869592, Time  0.447011
2021-09-25 18:02:14.900106 : Epoch  9, Batch    871, Loss  0.864822, Average Loss  0.869577, Time  0.458782
2021-09-25 18:02:20.932115 : Epoch  9, Batch    872, Loss  0.874514, Average Loss  0.869644, Time  0.444520
2021-09-25 18:02:26.975751 : Epoch  9, Batch    873, Loss  0.874499, Average Loss  0.869645, Time  0.445225
2021-09-25 18:02:33.001086 : Epoch  9, Batch    874, Loss  0.852325, Average Loss  0.869544, Time  0.444253
2021-09-25 18:02:39.040782 : Epoch  9, Batch    875, Loss  0.877607, Average Loss  0.869611, Time  0.450114
2021-09-25 18:02:45.081012 : Epoch  9, Batch    876, Loss  0.856718, Average Loss  0.869556, Time  0.443833
2021-09-25 18:03:15.801774 : CheckPoint: Validation Loss  0.00014899, Best Loss  0.00014749
2021-09-25 18:03:21.847554 : Epoch 10, Batch    249, Loss  0.864536, Average Loss  0.869543, Time  0.445658
2021-09-25 18:03:27.892784 : Epoch 10, Batch    250, Loss  0.862444, Average Loss  0.869453, Time  0.445827
2021-09-25 18:03:33.947867 : Epoch 10, Batch    251, Loss  0.857639, Average Loss  0.869439, Time  0.453974
2021-09-25 18:03:39.983768 : Epoch 10, Batch    252, Loss  0.859138, Average Loss  0.869296, Time  0.446207
2021-09-25 18:03:46.037051 : Epoch 10, Batch    253, Loss  0.855585, Average Loss  0.869230, Time  0.449872
2021-09-25 18:03:52.092967 : Epoch 10, Batch    254, Loss  0.862247, Average Loss  0.869181, Time  0.452562
2021-09-25 18:03:58.128291 : Epoch 10, Batch    255, Loss  0.872182, Average Loss  0.869191, Time  0.448536
2021-09-25 18:04:04.183339 : Epoch 10, Batch    256, Loss  0.880605, Average Loss  0.869324, Time  0.444691
2021-09-25 18:04:10.240009 : Epoch 10, Batch    257, Loss  0.893443, Average Loss  0.869443, Time  0.447577
2021-09-25 18:04:16.311063 : Epoch 10, Batch    258, Loss  0.864702, Average Loss  0.869445, Time  0.449615
2021-09-25 18:04:22.365936 : Epoch 10, Batch    259, Loss  0.858552, Average Loss  0.869423, Time  0.445414
2021-09-25 18:04:28.426023 : Epoch 10, Batch    260, Loss  0.865878, Average Loss  0.869383, Time  0.445827
2021-09-25 18:04:34.456554 : Epoch 10, Batch    261, Loss  0.862313, Average Loss  0.869323, Time  0.450029
2021-09-25 18:04:40.532987 : Epoch 10, Batch    262, Loss  0.861345, Average Loss  0.869211, Time  0.453498
2021-09-25 18:04:46.612438 : Epoch 10, Batch    263, Loss  0.869625, Average Loss  0.869229, Time  0.446041
2021-09-25 18:04:52.695886 : Epoch 10, Batch    264, Loss  0.874403, Average Loss  0.869182, Time  0.444781
2021-09-25 18:04:58.744800 : Epoch 10, Batch    265, Loss  0.868202, Average Loss  0.869150, Time  0.444848
2021-09-25 18:05:04.824394 : Epoch 10, Batch    266, Loss  0.867744, Average Loss  0.869121, Time  0.444632
2021-09-25 18:05:10.896761 : Epoch 10, Batch    267, Loss  0.864874, Average Loss  0.869085, Time  0.444148
2021-09-25 18:05:16.957110 : Epoch 10, Batch    268, Loss  0.862593, Average Loss  0.868997, Time  0.445765
2021-09-25 18:05:23.045445 : Epoch 10, Batch    269, Loss  0.870145, Average Loss  0.869035, Time  0.461028
2021-09-25 18:05:29.138616 : Epoch 10, Batch    270, Loss  0.860800, Average Loss  0.868944, Time  0.447671
2021-09-25 18:05:35.198012 : Epoch 10, Batch    271, Loss  0.875706, Average Loss  0.868986, Time  0.447719
2021-09-25 18:05:41.278638 : Epoch 10, Batch    272, Loss  0.874824, Average Loss  0.869055, Time  0.445587
2021-09-25 18:05:47.338703 : Epoch 10, Batch    273, Loss  0.861677, Average Loss  0.869043, Time  0.447095
2021-09-25 18:05:53.418451 : Epoch 10, Batch    274, Loss  0.859450, Average Loss  0.868890, Time  0.446119
2021-09-25 18:05:59.487870 : Epoch 10, Batch    275, Loss  0.873809, Average Loss  0.868943, Time  0.446175
2021-09-25 18:06:05.544632 : Epoch 10, Batch    276, Loss  0.873425, Average Loss  0.868927, Time  0.444793
2021-09-25 18:06:11.651575 : Epoch 10, Batch    277, Loss  0.850007, Average Loss  0.868768, Time  0.458894
2021-09-25 18:06:17.703217 : Epoch 10, Batch    278, Loss  0.874681, Average Loss  0.868770, Time  0.450044
2021-09-25 18:06:23.754328 : Epoch 10, Batch    279, Loss  0.870358, Average Loss  0.868851, Time  0.444715
2021-09-25 18:06:29.818847 : Epoch 10, Batch    280, Loss  0.880179, Average Loss  0.868880, Time  0.446635
2021-09-25 18:06:35.884010 : Epoch 10, Batch    281, Loss  0.868452, Average Loss  0.868788, Time  0.446155
2021-09-25 18:06:41.938510 : Epoch 10, Batch    282, Loss  0.860203, Average Loss  0.868777, Time  0.444819
2021-09-25 18:06:48.024382 : Epoch 10, Batch    283, Loss  0.872549, Average Loss  0.868840, Time  0.450888
2021-09-25 18:06:54.102271 : Epoch 10, Batch    284, Loss  0.875498, Average Loss  0.868871, Time  0.461810
2021-09-25 18:07:00.124214 : Epoch 10, Batch    285, Loss  0.881087, Average Loss  0.868929, Time  0.444886
2021-09-25 18:07:06.182051 : Epoch 10, Batch    286, Loss  0.879769, Average Loss  0.868953, Time  0.445056
2021-09-25 18:07:12.230788 : Epoch 10, Batch    287, Loss  0.884363, Average Loss  0.869099, Time  0.448243
2021-09-25 18:07:18.283592 : Epoch 10, Batch    288, Loss  0.878086, Average Loss  0.869109, Time  0.445183
2021-09-25 18:07:24.346463 : Epoch 10, Batch    289, Loss  0.852821, Average Loss  0.868997, Time  0.452791
2021-09-25 18:07:30.410672 : Epoch 10, Batch    290, Loss  0.864075, Average Loss  0.868937, Time  0.447358
2021-09-25 18:07:31.120355 : CheckPoint: Validation Loss  0.00014919, Best Loss  0.00014737
2021-09-25 18:07:36.482443 : Epoch 10, Batch    291, Loss  0.860711, Average Loss  0.868999, Time  0.446491
2021-09-25 18:07:37.201688 : Epoch  9, Batch    877, Loss  0.864172, Average Loss  0.869523, Time  0.463240
2021-09-25 18:07:42.541835 : Epoch 10, Batch    292, Loss  0.885019, Average Loss  0.869082, Time  0.460007
2021-09-25 18:07:43.225842 : Epoch  9, Batch    878, Loss  0.869552, Average Loss  0.869567, Time  0.444790
2021-09-25 18:07:48.602408 : Epoch 10, Batch    293, Loss  0.869955, Average Loss  0.869095, Time  0.444923
2021-09-25 18:07:49.225892 : Epoch  9, Batch    879, Loss  0.861901, Average Loss  0.869497, Time  0.444987
2021-09-25 18:07:54.664210 : Epoch 10, Batch    294, Loss  0.859516, Average Loss  0.869083, Time  0.444814
2021-09-25 18:07:55.248995 : Epoch  9, Batch    880, Loss  0.856810, Average Loss  0.869447, Time  0.444130
2021-09-25 18:08:00.727870 : Epoch 10, Batch    295, Loss  0.875994, Average Loss  0.869210, Time  0.444698
2021-09-25 18:08:01.272803 : Epoch  9, Batch    881, Loss  0.868602, Average Loss  0.869482, Time  0.445161
2021-09-25 18:08:06.800520 : Epoch 10, Batch    296, Loss  0.877282, Average Loss  0.869202, Time  0.446208
2021-09-25 18:08:07.282145 : Epoch  9, Batch    882, Loss  0.857769, Average Loss  0.869470, Time  0.445727
2021-09-25 18:08:12.855400 : Epoch 10, Batch    297, Loss  0.885783, Average Loss  0.869359, Time  0.445406
2021-09-25 18:08:13.293259 : Epoch  9, Batch    883, Loss  0.872763, Average Loss  0.869464, Time  0.444088
2021-09-25 18:08:18.938690 : Epoch 10, Batch    298, Loss  0.871095, Average Loss  0.869479, Time  0.445128
2021-09-25 18:08:19.334355 : Epoch  9, Batch    884, Loss  0.871668, Average Loss  0.869475, Time  0.459254
2021-09-25 18:08:25.035717 : Epoch 10, Batch    299, Loss  0.858460, Average Loss  0.869359, Time  0.460412
2021-09-25 18:08:25.361736 : Epoch  9, Batch    885, Loss  0.855821, Average Loss  0.869379, Time  0.444617
2021-09-25 18:08:31.094131 : Epoch 10, Batch    300, Loss  0.865818, Average Loss  0.869393, Time  0.447331
2021-09-25 18:08:31.359725 : Epoch  9, Batch    886, Loss  0.876545, Average Loss  0.869471, Time  0.444672
2021-09-25 18:08:37.146193 : Epoch 10, Batch    301, Loss  0.863583, Average Loss  0.869403, Time  0.447026
2021-09-25 18:08:37.383805 : Epoch  9, Batch    887, Loss  0.861573, Average Loss  0.869404, Time  0.443679
2021-09-25 18:08:43.203467 : Epoch 10, Batch    302, Loss  0.863688, Average Loss  0.869373, Time  0.445247
2021-09-25 18:08:43.418323 : Epoch  9, Batch    888, Loss  0.873909, Average Loss  0.869378, Time  0.445654
2021-09-25 18:08:49.270689 : Epoch 10, Batch    303, Loss  0.880409, Average Loss  0.869486, Time  0.444886
2021-09-25 18:08:49.438464 : Epoch  9, Batch    889, Loss  0.872431, Average Loss  0.869457, Time  0.444489
2021-09-25 18:08:55.350528 : Epoch 10, Batch    304, Loss  0.870956, Average Loss  0.869496, Time  0.449999
2021-09-25 18:08:55.461780 : Epoch  9, Batch    890, Loss  0.870944, Average Loss  0.869488, Time  0.445255
2021-09-25 18:09:01.426429 : Epoch 10, Batch    305, Loss  0.870406, Average Loss  0.869535, Time  0.445693
2021-09-25 18:09:01.473956 : Epoch  9, Batch    891, Loss  0.870522, Average Loss  0.869410, Time  0.445113
2021-09-25 18:09:07.482355 : Epoch 10, Batch    306, Loss  0.874411, Average Loss  0.869564, Time  0.444280
2021-09-25 18:09:07.510317 : Epoch  9, Batch    892, Loss  0.865391, Average Loss  0.869313, Time  0.460471
2021-09-25 18:09:13.529896 : Epoch  9, Batch    893, Loss  0.878727, Average Loss  0.869327, Time  0.445883
2021-09-25 18:09:13.590029 : Epoch 10, Batch    307, Loss  0.874767, Average Loss  0.869624, Time  0.457247
2021-09-25 18:09:19.559674 : Epoch  9, Batch    894, Loss  0.865933, Average Loss  0.869325, Time  0.447817
2021-09-25 18:09:19.652608 : Epoch 10, Batch    308, Loss  0.861045, Average Loss  0.869600, Time  0.444851
2021-09-25 18:09:25.608346 : Epoch  9, Batch    895, Loss  0.860445, Average Loss  0.869346, Time  0.445627
2021-09-25 18:09:25.725057 : Epoch 10, Batch    309, Loss  0.875732, Average Loss  0.869666, Time  0.445311
2021-09-25 18:09:31.632160 : Epoch  9, Batch    896, Loss  0.871236, Average Loss  0.869395, Time  0.444372
2021-09-25 18:09:31.786145 : Epoch 10, Batch    310, Loss  0.874027, Average Loss  0.869685, Time  0.450704
2021-09-25 18:09:37.633524 : Epoch  9, Batch    897, Loss  0.882882, Average Loss  0.869518, Time  0.449728
2021-09-25 18:09:37.818545 : Epoch 10, Batch    311, Loss  0.868733, Average Loss  0.869632, Time  0.447959
2021-09-25 18:09:43.674494 : Epoch  9, Batch    898, Loss  0.873410, Average Loss  0.869499, Time  0.448426
2021-09-25 18:09:43.861844 : Epoch 10, Batch    312, Loss  0.862173, Average Loss  0.869569, Time  0.444894
2021-09-25 18:09:49.706519 : Epoch  9, Batch    899, Loss  0.865216, Average Loss  0.869517, Time  0.460973
2021-09-25 18:09:49.924545 : Epoch 10, Batch    313, Loss  0.860815, Average Loss  0.869588, Time  0.444444
2021-09-25 18:09:55.734824 : Epoch  9, Batch    900, Loss  0.871066, Average Loss  0.869539, Time  0.443975
2021-09-25 18:09:55.990213 : Epoch 10, Batch    314, Loss  0.863315, Average Loss  0.869535, Time  0.459503
2021-09-25 18:10:01.744852 : Epoch  9, Batch    901, Loss  0.865838, Average Loss  0.869543, Time  0.445263
2021-09-25 18:10:02.051814 : Epoch 10, Batch    315, Loss  0.867804, Average Loss  0.869556, Time  0.444655
2021-09-25 18:10:07.770181 : Epoch  9, Batch    902, Loss  0.862511, Average Loss  0.869510, Time  0.445352
2021-09-25 18:10:08.119831 : Epoch 10, Batch    316, Loss  0.865310, Average Loss  0.869510, Time  0.445470
2021-09-25 18:10:13.777864 : Epoch  9, Batch    903, Loss  0.886552, Average Loss  0.869545, Time  0.444181
2021-09-25 18:10:14.163070 : Epoch 10, Batch    317, Loss  0.867354, Average Loss  0.869414, Time  0.445066
2021-09-25 18:10:19.800737 : Epoch  9, Batch    904, Loss  0.866430, Average Loss  0.869513, Time  0.444762
2021-09-25 18:10:20.228915 : Epoch 10, Batch    318, Loss  0.869296, Average Loss  0.869462, Time  0.447660
2021-09-25 18:10:25.829369 : Epoch  9, Batch    905, Loss  0.879238, Average Loss  0.869533, Time  0.445827
2021-09-25 18:10:26.290757 : Epoch 10, Batch    319, Loss  0.875151, Average Loss  0.869502, Time  0.450587
2021-09-25 18:10:31.846040 : Epoch  9, Batch    906, Loss  0.872287, Average Loss  0.869542, Time  0.444179
2021-09-25 18:10:32.354529 : Epoch 10, Batch    320, Loss  0.867508, Average Loss  0.869430, Time  0.445056
2021-09-25 18:10:37.868021 : Epoch  9, Batch    907, Loss  0.862748, Average Loss  0.869498, Time  0.459230
2021-09-25 18:10:38.399461 : Epoch 10, Batch    321, Loss  0.857192, Average Loss  0.869392, Time  0.446472
2021-09-25 18:10:43.884195 : Epoch  9, Batch    908, Loss  0.882047, Average Loss  0.869553, Time  0.449761
2021-09-25 18:10:44.489413 : Epoch 10, Batch    322, Loss  0.874819, Average Loss  0.869375, Time  0.464610
2021-09-25 18:10:49.893200 : Epoch  9, Batch    909, Loss  0.868270, Average Loss  0.869601, Time  0.443796
2021-09-25 18:10:50.524635 : Epoch 10, Batch    323, Loss  0.868946, Average Loss  0.869373, Time  0.444979
2021-09-25 18:10:55.899433 : Epoch  9, Batch    910, Loss  0.868295, Average Loss  0.869586, Time  0.445454
2021-09-25 18:10:56.586935 : Epoch 10, Batch    324, Loss  0.867990, Average Loss  0.869373, Time  0.445434
2021-09-25 18:11:01.924635 : Epoch  9, Batch    911, Loss  0.871256, Average Loss  0.869635, Time  0.446967
2021-09-25 18:11:02.660673 : Epoch 10, Batch    325, Loss  0.862533, Average Loss  0.869378, Time  0.444735
2021-09-25 18:11:07.951322 : Epoch  9, Batch    912, Loss  0.861396, Average Loss  0.869571, Time  0.444621
2021-09-25 18:11:08.730206 : Epoch 10, Batch    326, Loss  0.874572, Average Loss  0.869371, Time  0.447440
2021-09-25 18:11:13.970827 : Epoch  9, Batch    913, Loss  0.871500, Average Loss  0.869639, Time  0.450606
2021-09-25 18:11:14.794529 : Epoch 10, Batch    327, Loss  0.873324, Average Loss  0.869298, Time  0.444342
2021-09-25 18:11:20.023123 : Epoch  9, Batch    914, Loss  0.858502, Average Loss  0.869503, Time  0.456780
2021-09-25 18:11:20.861535 : Epoch 10, Batch    328, Loss  0.869970, Average Loss  0.869344, Time  0.445308
2021-09-25 18:11:26.045706 : Epoch  9, Batch    915, Loss  0.869454, Average Loss  0.869535, Time  0.445091
2021-09-25 18:11:26.968499 : Epoch 10, Batch    329, Loss  0.870345, Average Loss  0.869364, Time  0.456451
2021-09-25 18:11:32.077001 : Epoch  9, Batch    916, Loss  0.856964, Average Loss  0.869453, Time  0.446760
2021-09-25 18:11:33.032144 : Epoch 10, Batch    330, Loss  0.859028, Average Loss  0.869364, Time  0.447102
2021-09-25 18:11:38.128428 : Epoch  9, Batch    917, Loss  0.878729, Average Loss  0.869563, Time  0.444218
2021-09-25 18:11:39.110632 : Epoch 10, Batch    331, Loss  0.871616, Average Loss  0.869475, Time  0.446095
2021-09-25 18:11:44.162335 : Epoch  9, Batch    918, Loss  0.882726, Average Loss  0.869583, Time  0.444595
2021-09-25 18:11:45.185168 : Epoch 10, Batch    332, Loss  0.887819, Average Loss  0.869459, Time  0.445781
2021-09-25 18:11:50.191015 : Epoch  9, Batch    919, Loss  0.877152, Average Loss  0.869674, Time  0.447632
2021-09-25 18:11:51.259253 : Epoch 10, Batch    333, Loss  0.859915, Average Loss  0.869359, Time  0.447637
2021-09-25 18:11:56.220765 : Epoch  9, Batch    920, Loss  0.874076, Average Loss  0.869663, Time  0.445133
2021-09-25 18:11:57.345773 : Epoch 10, Batch    334, Loss  0.865267, Average Loss  0.869237, Time  0.447478
2021-09-25 18:12:02.254192 : Epoch  9, Batch    921, Loss  0.878037, Average Loss  0.869747, Time  0.444500
2021-09-25 18:12:03.399088 : Epoch 10, Batch    335, Loss  0.865134, Average Loss  0.869234, Time  0.445924
2021-09-25 18:12:08.283964 : Epoch  9, Batch    922, Loss  0.847142, Average Loss  0.869763, Time  0.459290
2021-09-25 18:12:09.462291 : Epoch 10, Batch    336, Loss  0.867722, Average Loss  0.869301, Time  0.447176
2021-09-25 18:12:14.321338 : Epoch  9, Batch    923, Loss  0.861103, Average Loss  0.869690, Time  0.446399
2021-09-25 18:12:15.525610 : Epoch 10, Batch    337, Loss  0.860642, Average Loss  0.869209, Time  0.459852
2021-09-25 18:12:20.351834 : Epoch  9, Batch    924, Loss  0.865534, Average Loss  0.869717, Time  0.444112
2021-09-25 18:12:21.612041 : Epoch 10, Batch    338, Loss  0.861391, Average Loss  0.869140, Time  0.445460
2021-09-25 18:12:26.379476 : Epoch  9, Batch    925, Loss  0.873679, Average Loss  0.869782, Time  0.443489
2021-09-25 18:12:27.684658 : Epoch 10, Batch    339, Loss  0.876682, Average Loss  0.869104, Time  0.445855
2021-09-25 18:12:32.464547 : Epoch  9, Batch    926, Loss  0.870176, Average Loss  0.869726, Time  0.444972
2021-09-25 18:12:33.758790 : Epoch 10, Batch    340, Loss  0.868864, Average Loss  0.869142, Time  0.447044
2021-09-25 18:12:38.487075 : Epoch  9, Batch    927, Loss  0.869191, Average Loss  0.869786, Time  0.445303
2021-09-25 18:12:39.834084 : Epoch 10, Batch    341, Loss  0.868050, Average Loss  0.869107, Time  0.445022
2021-09-25 18:12:44.502423 : Epoch  9, Batch    928, Loss  0.864282, Average Loss  0.869726, Time  0.446070
2021-09-25 18:12:44.527857 : Saving Model after 9-th Epoch.
2021-09-25 18:12:45.325915 : Epoch Finished.
2021-09-25 18:12:45.894647 : Epoch 10, Batch    342, Loss  0.874672, Average Loss  0.869116, Time  0.446111
2021-09-25 18:12:50.893923 : Batch Shuffled
2021-09-25 18:12:51.977034 : Epoch 10, Batch    343, Loss  0.873925, Average Loss  0.869165, Time  0.445583
2021-09-25 18:12:55.402542 : Epoch 10, Batch      1, Loss  0.882313, Average Loss  0.869656, Time  0.359880
2021-09-25 18:12:58.055857 : Epoch 10, Batch    344, Loss  0.848004, Average Loss  0.869068, Time  0.457627
2021-09-25 18:13:01.431266 : Epoch 10, Batch      2, Loss  0.856992, Average Loss  0.869660, Time  0.444361
2021-09-25 18:13:04.104212 : Epoch 10, Batch    345, Loss  0.854645, Average Loss  0.868930, Time  0.445633
2021-09-25 18:13:07.445732 : Epoch 10, Batch      3, Loss  0.850978, Average Loss  0.869642, Time  0.444357
2021-09-25 18:13:10.187972 : Epoch 10, Batch    346, Loss  0.868324, Average Loss  0.869018, Time  0.444445
2021-09-25 18:13:13.469087 : Epoch 10, Batch      4, Loss  0.872635, Average Loss  0.869683, Time  0.444082
2021-09-25 18:13:16.258191 : Epoch 10, Batch    347, Loss  0.877183, Average Loss  0.869076, Time  0.445466
2021-09-25 18:13:19.493968 : Epoch 10, Batch      5, Loss  0.882538, Average Loss  0.869809, Time  0.447142
2021-09-25 18:13:22.314895 : Epoch 10, Batch    348, Loss  0.865928, Average Loss  0.869072, Time  0.445843
2021-09-25 18:13:25.558354 : Epoch 10, Batch      6, Loss  0.877819, Average Loss  0.869927, Time  0.450224
2021-09-25 18:13:31.613124 : Epoch 10, Batch      7, Loss  0.871047, Average Loss  0.869980, Time  0.450666
2021-09-25 18:13:37.687260 : Epoch 10, Batch      8, Loss  0.870492, Average Loss  0.870013, Time  0.460320
2021-09-25 18:13:43.745528 : Epoch 10, Batch      9, Loss  0.868840, Average Loss  0.869994, Time  0.450313
2021-09-25 18:13:49.789875 : Epoch 10, Batch     10, Loss  0.861820, Average Loss  0.869949, Time  0.445585
2021-09-25 18:13:55.840610 : Epoch 10, Batch     11, Loss  0.870074, Average Loss  0.869945, Time  0.447406
2021-09-25 18:14:01.894270 : Epoch 10, Batch     12, Loss  0.882122, Average Loss  0.870000, Time  0.445088
2021-09-25 18:14:07.942749 : Epoch 10, Batch     13, Loss  0.870572, Average Loss  0.870006, Time  0.444347
2021-09-25 18:14:13.981188 : Epoch 10, Batch     14, Loss  0.879023, Average Loss  0.870087, Time  0.443697
2021-09-25 18:14:20.031015 : Epoch 10, Batch     15, Loss  0.862878, Average Loss  0.870025, Time  0.444949
2021-09-25 18:14:26.087940 : Epoch 10, Batch     16, Loss  0.869798, Average Loss  0.870035, Time  0.453695
2021-09-25 18:14:32.124671 : Epoch 10, Batch     17, Loss  0.862637, Average Loss  0.870090, Time  0.445966
2021-09-25 18:14:38.148203 : Epoch 10, Batch     18, Loss  0.858264, Average Loss  0.870006, Time  0.446842
2021-09-25 18:14:44.174126 : Epoch 10, Batch     19, Loss  0.858063, Average Loss  0.869857, Time  0.446616
2021-09-25 18:14:50.244213 : Epoch 10, Batch     20, Loss  0.878615, Average Loss  0.869839, Time  0.448999
2021-09-25 18:14:56.307834 : Epoch 10, Batch     21, Loss  0.862173, Average Loss  0.869820, Time  0.450057
2021-09-25 18:15:02.358848 : Epoch 10, Batch     22, Loss  0.852862, Average Loss  0.869751, Time  0.444681
2021-09-25 18:15:08.391490 : Epoch 10, Batch     23, Loss  0.874846, Average Loss  0.869737, Time  0.450002
2021-09-25 18:15:14.442859 : Epoch 10, Batch     24, Loss  0.869968, Average Loss  0.869654, Time  0.454337
2021-09-25 18:15:20.484772 : Epoch 10, Batch     25, Loss  0.867983, Average Loss  0.869566, Time  0.445479
2021-09-25 18:15:26.531883 : Epoch 10, Batch     26, Loss  0.872063, Average Loss  0.869559, Time  0.446464
2021-09-25 18:15:32.582855 : Epoch 10, Batch     27, Loss  0.874121, Average Loss  0.869518, Time  0.445146
2021-09-25 18:15:38.630659 : Epoch 10, Batch     28, Loss  0.863564, Average Loss  0.869453, Time  0.447419
2021-09-25 18:15:44.671309 : Epoch 10, Batch     29, Loss  0.855078, Average Loss  0.869398, Time  0.444520
2021-09-25 18:15:50.714843 : Epoch 10, Batch     30, Loss  0.866546, Average Loss  0.869296, Time  0.447621
2021-09-25 18:15:56.760910 : Epoch 10, Batch     31, Loss  0.871758, Average Loss  0.869388, Time  0.458664
2021-09-25 18:16:02.817262 : Epoch 10, Batch     32, Loss  0.874185, Average Loss  0.869383, Time  0.445381
2021-09-25 18:16:08.880245 : Epoch 10, Batch     33, Loss  0.854258, Average Loss  0.869279, Time  0.446954
2021-09-25 18:16:14.911499 : Epoch 10, Batch     34, Loss  0.875164, Average Loss  0.869261, Time  0.446048
2021-09-25 18:16:20.964787 : Epoch 10, Batch     35, Loss  0.867710, Average Loss  0.869185, Time  0.447053
2021-09-25 18:16:27.011644 : Epoch 10, Batch     36, Loss  0.871131, Average Loss  0.869193, Time  0.444556
2021-09-25 18:16:33.041591 : Epoch 10, Batch     37, Loss  0.859491, Average Loss  0.869206, Time  0.444012
2021-09-25 18:16:39.086455 : Epoch 10, Batch     38, Loss  0.875119, Average Loss  0.869244, Time  0.455584
2021-09-25 18:16:45.156858 : Epoch 10, Batch     39, Loss  0.872202, Average Loss  0.869230, Time  0.444992
2021-09-25 18:16:51.191249 : Epoch 10, Batch     40, Loss  0.878565, Average Loss  0.869224, Time  0.443665
2021-09-25 18:16:57.222589 : Epoch 10, Batch     41, Loss  0.850890, Average Loss  0.869153, Time  0.446230
2021-09-25 18:17:03.241621 : Epoch 10, Batch     42, Loss  0.870018, Average Loss  0.869153, Time  0.443835
2021-09-25 18:17:09.287357 : Epoch 10, Batch     43, Loss  0.879004, Average Loss  0.869253, Time  0.446534
2021-09-25 18:17:15.318612 : Epoch 10, Batch     44, Loss  0.877392, Average Loss  0.869278, Time  0.445755
2021-09-25 18:17:21.360844 : Epoch 10, Batch     45, Loss  0.860886, Average Loss  0.869189, Time  0.443783
2021-09-25 18:17:27.410806 : Epoch 10, Batch     46, Loss  0.856573, Average Loss  0.869134, Time  0.454763
2021-09-25 18:17:33.443910 : Epoch 10, Batch     47, Loss  0.859827, Average Loss  0.869104, Time  0.447268
2021-09-25 18:17:39.485539 : Epoch 10, Batch     48, Loss  0.855368, Average Loss  0.869124, Time  0.443635
2021-09-25 18:18:06.119327 : CheckPoint: Validation Loss  0.00015272, Best Loss  0.00014749
2021-09-25 18:18:12.166750 : Epoch 10, Batch    349, Loss  0.859887, Average Loss  0.869112, Time  0.445337
2021-09-25 18:18:18.230547 : Epoch 10, Batch    350, Loss  0.878968, Average Loss  0.869163, Time  0.464931
2021-09-25 18:18:24.285578 : Epoch 10, Batch    351, Loss  0.869430, Average Loss  0.869253, Time  0.444836
2021-09-25 18:18:30.366867 : Epoch 10, Batch    352, Loss  0.859780, Average Loss  0.869198, Time  0.447303
2021-09-25 18:18:36.445542 : Epoch 10, Batch    353, Loss  0.853257, Average Loss  0.869052, Time  0.447973
2021-09-25 18:18:42.541651 : Epoch 10, Batch    354, Loss  0.860379, Average Loss  0.868978, Time  0.444474
2021-09-25 18:18:48.627890 : Epoch 10, Batch    355, Loss  0.866199, Average Loss  0.869004, Time  0.447398
2021-09-25 18:18:54.671839 : Epoch 10, Batch    356, Loss  0.853335, Average Loss  0.868932, Time  0.446507
2021-09-25 18:19:00.765575 : Epoch 10, Batch    357, Loss  0.883526, Average Loss  0.868974, Time  0.451792
2021-09-25 18:19:06.833219 : Epoch 10, Batch    358, Loss  0.869416, Average Loss  0.868964, Time  0.447359
2021-09-25 18:19:12.906665 : Epoch 10, Batch    359, Loss  0.850546, Average Loss  0.868822, Time  0.446162
2021-09-25 18:19:18.982439 : Epoch 10, Batch    360, Loss  0.876547, Average Loss  0.868801, Time  0.445820
2021-09-25 18:19:25.032931 : Epoch 10, Batch    361, Loss  0.865052, Average Loss  0.868774, Time  0.446924
2021-09-25 18:19:31.109936 : Epoch 10, Batch    362, Loss  0.875310, Average Loss  0.868809, Time  0.445731
2021-09-25 18:19:37.188725 : Epoch 10, Batch    363, Loss  0.879628, Average Loss  0.868835, Time  0.446487
2021-09-25 18:19:43.264739 : Epoch 10, Batch    364, Loss  0.874251, Average Loss  0.868865, Time  0.445201
2021-09-25 18:19:49.344145 : Epoch 10, Batch    365, Loss  0.875264, Average Loss  0.868914, Time  0.455236
2021-09-25 18:19:55.435690 : Epoch 10, Batch    366, Loss  0.869712, Average Loss  0.868983, Time  0.447072
2021-09-25 18:20:01.547665 : Epoch 10, Batch    367, Loss  0.862790, Average Loss  0.868921, Time  0.445356
2021-09-25 18:20:07.650809 : Epoch 10, Batch    368, Loss  0.875699, Average Loss  0.868896, Time  0.448039
2021-09-25 18:20:13.738488 : Epoch 10, Batch    369, Loss  0.857730, Average Loss  0.868843, Time  0.446952
2021-09-25 18:20:19.810174 : Epoch 10, Batch    370, Loss  0.876118, Average Loss  0.868881, Time  0.445383
2021-09-25 18:20:25.902796 : Epoch 10, Batch    371, Loss  0.855328, Average Loss  0.868876, Time  0.445530
2021-09-25 18:20:31.991903 : Epoch 10, Batch    372, Loss  0.869889, Average Loss  0.868918, Time  0.456071
2021-09-25 18:20:38.062642 : Epoch 10, Batch    373, Loss  0.868318, Average Loss  0.868929, Time  0.444873
2021-09-25 18:20:44.142260 : Epoch 10, Batch    374, Loss  0.879389, Average Loss  0.868962, Time  0.444970
2021-09-25 18:20:50.198045 : Epoch 10, Batch    375, Loss  0.860394, Average Loss  0.868921, Time  0.448156
2021-09-25 18:20:56.273851 : Epoch 10, Batch    376, Loss  0.866704, Average Loss  0.868946, Time  0.445112
2021-09-25 18:21:02.383032 : Epoch 10, Batch    377, Loss  0.877626, Average Loss  0.868876, Time  0.445439
2021-09-25 18:21:08.464064 : Epoch 10, Batch    378, Loss  0.843410, Average Loss  0.868755, Time  0.448936
2021-09-25 18:21:14.536219 : Epoch 10, Batch    379, Loss  0.868257, Average Loss  0.868734, Time  0.444790
2021-09-25 18:21:20.630824 : Epoch 10, Batch    380, Loss  0.853575, Average Loss  0.868628, Time  0.453556
2021-09-25 18:21:26.700946 : Epoch 10, Batch    381, Loss  0.874247, Average Loss  0.868713, Time  0.445874
2021-09-25 18:21:32.778043 : Epoch 10, Batch    382, Loss  0.863656, Average Loss  0.868738, Time  0.449143
2021-09-25 18:21:38.847251 : Epoch 10, Batch    383, Loss  0.856656, Average Loss  0.868658, Time  0.445304
2021-09-25 18:21:44.936031 : Epoch 10, Batch    384, Loss  0.856319, Average Loss  0.868619, Time  0.445412
2021-09-25 18:21:51.011236 : Epoch 10, Batch    385, Loss  0.878373, Average Loss  0.868589, Time  0.446316
2021-09-25 18:21:57.107018 : Epoch 10, Batch    386, Loss  0.869314, Average Loss  0.868591, Time  0.446709
2021-09-25 18:22:03.190747 : Epoch 10, Batch    387, Loss  0.874734, Average Loss  0.868596, Time  0.461284
2021-09-25 18:22:09.284934 : Epoch 10, Batch    388, Loss  0.856327, Average Loss  0.868486, Time  0.445483
2021-09-25 18:22:15.384003 : Epoch 10, Batch    389, Loss  0.860964, Average Loss  0.868472, Time  0.461010
2021-09-25 18:22:21.472910 : Epoch 10, Batch    390, Loss  0.868446, Average Loss  0.868476, Time  0.446182
2021-09-25 18:22:22.141608 : CheckPoint: Validation Loss  0.00015074, Best Loss  0.00014737
2021-09-25 18:22:27.560003 : Epoch 10, Batch    391, Loss  0.879364, Average Loss  0.868592, Time  0.444731
2021-09-25 18:22:28.121533 : Epoch 10, Batch     49, Loss  0.867989, Average Loss  0.869110, Time  0.443646
2021-09-25 18:22:33.626178 : Epoch 10, Batch    392, Loss  0.870080, Average Loss  0.868620, Time  0.445195
2021-09-25 18:22:34.156059 : Epoch 10, Batch     50, Loss  0.864401, Average Loss  0.869098, Time  0.444035
2021-09-25 18:22:39.705339 : Epoch 10, Batch    393, Loss  0.870794, Average Loss  0.868609, Time  0.446984
2021-09-25 18:22:40.180448 : Epoch 10, Batch     51, Loss  0.882971, Average Loss  0.869130, Time  0.444808
2021-09-25 18:22:45.773833 : Epoch 10, Batch    394, Loss  0.862407, Average Loss  0.868602, Time  0.445388
2021-09-25 18:22:46.203831 : Epoch 10, Batch     52, Loss  0.885218, Average Loss  0.869138, Time  0.462024
2021-09-25 18:22:51.849915 : Epoch 10, Batch    395, Loss  0.867879, Average Loss  0.868650, Time  0.456437
2021-09-25 18:22:52.241785 : Epoch 10, Batch     53, Loss  0.858275, Average Loss  0.869059, Time  0.446703
2021-09-25 18:22:57.926301 : Epoch 10, Batch    396, Loss  0.869545, Average Loss  0.868668, Time  0.445336
2021-09-25 18:22:58.269838 : Epoch 10, Batch     54, Loss  0.872212, Average Loss  0.869073, Time  0.444606
2021-09-25 18:23:04.015212 : Epoch 10, Batch    397, Loss  0.873262, Average Loss  0.868661, Time  0.446563
2021-09-25 18:23:04.308655 : Epoch 10, Batch     55, Loss  0.866036, Average Loss  0.869026, Time  0.445334
2021-09-25 18:23:10.111148 : Epoch 10, Batch    398, Loss  0.869130, Average Loss  0.868714, Time  0.445060
2021-09-25 18:23:10.364227 : Epoch 10, Batch     56, Loss  0.843732, Average Loss  0.868836, Time  0.448862
2021-09-25 18:23:16.193156 : Epoch 10, Batch    399, Loss  0.868368, Average Loss  0.868730, Time  0.445149
2021-09-25 18:23:16.393942 : Epoch 10, Batch     57, Loss  0.865529, Average Loss  0.868753, Time  0.444713
2021-09-25 18:23:22.279937 : Epoch 10, Batch    400, Loss  0.867890, Average Loss  0.868693, Time  0.445163
2021-09-25 18:23:22.440488 : Epoch 10, Batch     58, Loss  0.864348, Average Loss  0.868677, Time  0.443938
2021-09-25 18:23:28.371312 : Epoch 10, Batch    401, Loss  0.884142, Average Loss  0.868801, Time  0.448168
2021-09-25 18:23:28.496412 : Epoch 10, Batch     59, Loss  0.856051, Average Loss  0.868654, Time  0.460732
2021-09-25 18:23:34.460708 : Epoch 10, Batch    402, Loss  0.887071, Average Loss  0.868837, Time  0.456204
2021-09-25 18:23:34.538127 : Epoch 10, Batch     60, Loss  0.862155, Average Loss  0.868678, Time  0.444772
2021-09-25 18:23:40.520478 : Epoch 10, Batch    403, Loss  0.859034, Average Loss  0.868811, Time  0.448306
2021-09-25 18:23:40.573853 : Epoch 10, Batch     61, Loss  0.862420, Average Loss  0.868645, Time  0.444032
2021-09-25 18:23:46.610918 : Epoch 10, Batch     62, Loss  0.865578, Average Loss  0.868666, Time  0.452758
2021-09-25 18:23:46.645865 : Epoch 10, Batch    404, Loss  0.877278, Average Loss  0.868779, Time  0.445606
2021-09-25 18:23:52.681601 : Epoch 10, Batch     63, Loss  0.868810, Average Loss  0.868671, Time  0.447594
2021-09-25 18:23:52.720557 : Epoch 10, Batch    405, Loss  0.871998, Average Loss  0.868785, Time  0.445272
2021-09-25 18:23:58.694829 : Epoch 10, Batch     64, Loss  0.874881, Average Loss  0.868723, Time  0.447430
2021-09-25 18:23:58.790197 : Epoch 10, Batch    406, Loss  0.869209, Average Loss  0.868713, Time  0.451372
2021-09-25 18:24:04.736561 : Epoch 10, Batch     65, Loss  0.869017, Average Loss  0.868743, Time  0.448314
2021-09-25 18:24:04.863453 : Epoch 10, Batch    407, Loss  0.875777, Average Loss  0.868749, Time  0.444807
2021-09-25 18:24:10.783522 : Epoch 10, Batch     66, Loss  0.859582, Average Loss  0.868674, Time  0.446110
2021-09-25 18:24:10.929286 : Epoch 10, Batch    408, Loss  0.873532, Average Loss  0.868735, Time  0.445387
2021-09-25 18:24:16.834047 : Epoch 10, Batch     67, Loss  0.848214, Average Loss  0.868527, Time  0.455681
2021-09-25 18:24:17.003862 : Epoch 10, Batch    409, Loss  0.859541, Average Loss  0.868671, Time  0.447145
2021-09-25 18:24:22.860115 : Epoch 10, Batch     68, Loss  0.873228, Average Loss  0.868501, Time  0.446617
2021-09-25 18:24:23.097227 : Epoch 10, Batch    410, Loss  0.867344, Average Loss  0.868663, Time  0.459561
2021-09-25 18:24:28.885802 : Epoch 10, Batch     69, Loss  0.874034, Average Loss  0.868497, Time  0.445276
2021-09-25 18:24:29.171753 : Epoch 10, Batch    411, Loss  0.861614, Average Loss  0.868668, Time  0.446076
2021-09-25 18:24:34.914227 : Epoch 10, Batch     70, Loss  0.878600, Average Loss  0.868522, Time  0.445151
2021-09-25 18:24:35.263826 : Epoch 10, Batch    412, Loss  0.860128, Average Loss  0.868588, Time  0.445567
2021-09-25 18:24:40.943785 : Epoch 10, Batch     71, Loss  0.864972, Average Loss  0.868490, Time  0.444034
2021-09-25 18:24:41.349064 : Epoch 10, Batch    413, Loss  0.873603, Average Loss  0.868584, Time  0.446243
2021-09-25 18:24:47.000676 : Epoch 10, Batch     72, Loss  0.858778, Average Loss  0.868436, Time  0.449006
2021-09-25 18:24:47.430338 : Epoch 10, Batch    414, Loss  0.872277, Average Loss  0.868575, Time  0.445057
2021-09-25 18:24:53.050381 : Epoch 10, Batch     73, Loss  0.863484, Average Loss  0.868411, Time  0.444824
2021-09-25 18:24:53.498603 : Epoch 10, Batch    415, Loss  0.865091, Average Loss  0.868584, Time  0.446504
2021-09-25 18:24:59.105091 : Epoch 10, Batch     74, Loss  0.863370, Average Loss  0.868424, Time  0.456911
2021-09-25 18:24:59.574137 : Epoch 10, Batch    416, Loss  0.867759, Average Loss  0.868533, Time  0.446312
2021-09-25 18:25:05.147183 : Epoch 10, Batch     75, Loss  0.884754, Average Loss  0.868502, Time  0.446410
2021-09-25 18:25:05.674787 : Epoch 10, Batch    417, Loss  0.863963, Average Loss  0.868538, Time  0.457632
2021-09-25 18:25:11.208595 : Epoch 10, Batch     76, Loss  0.867661, Average Loss  0.868488, Time  0.446574
2021-09-25 18:25:11.735767 : Epoch 10, Batch    418, Loss  0.872677, Average Loss  0.868571, Time  0.445539
2021-09-25 18:25:17.262808 : Epoch 10, Batch     77, Loss  0.882738, Average Loss  0.868665, Time  0.445498
2021-09-25 18:25:17.810854 : Epoch 10, Batch    419, Loss  0.871882, Average Loss  0.868630, Time  0.444646
2021-09-25 18:25:23.291325 : Epoch 10, Batch     78, Loss  0.845493, Average Loss  0.868540, Time  0.443579
2021-09-25 18:25:23.910877 : Epoch 10, Batch    420, Loss  0.872133, Average Loss  0.868580, Time  0.445826
2021-09-25 18:25:29.338555 : Epoch 10, Batch     79, Loss  0.856770, Average Loss  0.868453, Time  0.444311
2021-09-25 18:25:29.993467 : Epoch 10, Batch    421, Loss  0.872152, Average Loss  0.868585, Time  0.445149
2021-09-25 18:25:35.364889 : Epoch 10, Batch     80, Loss  0.882135, Average Loss  0.868443, Time  0.446077
2021-09-25 18:25:36.069847 : Epoch 10, Batch    422, Loss  0.861820, Average Loss  0.868530, Time  0.447104
2021-09-25 18:25:41.399880 : Epoch 10, Batch     81, Loss  0.859738, Average Loss  0.868412, Time  0.446903
2021-09-25 18:25:42.151794 : Epoch 10, Batch    423, Loss  0.864643, Average Loss  0.868468, Time  0.445105
2021-09-25 18:25:47.465186 : Epoch 10, Batch     82, Loss  0.868831, Average Loss  0.868426, Time  0.451839
2021-09-25 18:25:48.220690 : Epoch 10, Batch    424, Loss  0.879519, Average Loss  0.868481, Time  0.445420
2021-09-25 18:25:53.480069 : Epoch 10, Batch     83, Loss  0.865242, Average Loss  0.868396, Time  0.446170
2021-09-25 18:25:54.303413 : Epoch 10, Batch    425, Loss  0.867669, Average Loss  0.868538, Time  0.460824
2021-09-25 18:25:59.520474 : Epoch 10, Batch     84, Loss  0.875694, Average Loss  0.868488, Time  0.445828
2021-09-25 18:26:00.398725 : Epoch 10, Batch    426, Loss  0.864741, Average Loss  0.868524, Time  0.465483
2021-09-25 18:26:05.545859 : Epoch 10, Batch     85, Loss  0.852006, Average Loss  0.868382, Time  0.445359
2021-09-25 18:26:06.483531 : Epoch 10, Batch    427, Loss  0.888831, Average Loss  0.868620, Time  0.444823
2021-09-25 18:26:11.583980 : Epoch 10, Batch     86, Loss  0.854650, Average Loss  0.868317, Time  0.446994
2021-09-25 18:26:12.555554 : Epoch 10, Batch    428, Loss  0.869266, Average Loss  0.868691, Time  0.445937
2021-09-25 18:26:17.654219 : Epoch 10, Batch     87, Loss  0.884035, Average Loss  0.868376, Time  0.444032
2021-09-25 18:26:18.649049 : Epoch 10, Batch    429, Loss  0.872372, Average Loss  0.868743, Time  0.449827
2021-09-25 18:26:23.716670 : Epoch 10, Batch     88, Loss  0.867266, Average Loss  0.868423, Time  0.444362
2021-09-25 18:26:24.742847 : Epoch 10, Batch    430, Loss  0.871434, Average Loss  0.868728, Time  0.447427
2021-09-25 18:26:29.792477 : Epoch 10, Batch     89, Loss  0.857966, Average Loss  0.868344, Time  0.462537
2021-09-25 18:26:30.853837 : Epoch 10, Batch    431, Loss  0.888621, Average Loss  0.868777, Time  0.454882
2021-09-25 18:26:35.830440 : Epoch 10, Batch     90, Loss  0.875396, Average Loss  0.868390, Time  0.443818
2021-09-25 18:26:36.962240 : Epoch 10, Batch    432, Loss  0.852417, Average Loss  0.868656, Time  0.456453
2021-09-25 18:26:41.868866 : Epoch 10, Batch     91, Loss  0.864462, Average Loss  0.868327, Time  0.446766
2021-09-25 18:26:43.078807 : Epoch 10, Batch    433, Loss  0.865653, Average Loss  0.868656, Time  0.444617
2021-09-25 18:26:47.904154 : Epoch 10, Batch     92, Loss  0.870217, Average Loss  0.868273, Time  0.444257
2021-09-25 18:26:49.154488 : Epoch 10, Batch    434, Loss  0.873219, Average Loss  0.868666, Time  0.444689
2021-09-25 18:26:53.978482 : Epoch 10, Batch     93, Loss  0.869428, Average Loss  0.868319, Time  0.445881
2021-09-25 18:26:55.230303 : Epoch 10, Batch    435, Loss  0.854707, Average Loss  0.868583, Time  0.447083
2021-09-25 18:27:00.030778 : Epoch 10, Batch     94, Loss  0.873590, Average Loss  0.868406, Time  0.444366
2021-09-25 18:27:01.309975 : Epoch 10, Batch    436, Loss  0.871914, Average Loss  0.868561, Time  0.448861
2021-09-25 18:27:06.106944 : Epoch 10, Batch     95, Loss  0.869882, Average Loss  0.868480, Time  0.444755
2021-09-25 18:27:07.405432 : Epoch 10, Batch    437, Loss  0.850859, Average Loss  0.868497, Time  0.447125
2021-09-25 18:27:12.156179 : Epoch 10, Batch     96, Loss  0.874675, Average Loss  0.868422, Time  0.444109
2021-09-25 18:27:13.471149 : Epoch 10, Batch    438, Loss  0.872745, Average Loss  0.868514, Time  0.445171
2021-09-25 18:27:18.199187 : Epoch 10, Batch     97, Loss  0.855943, Average Loss  0.868304, Time  0.452736
2021-09-25 18:27:19.545162 : Epoch 10, Batch    439, Loss  0.891522, Average Loss  0.868672, Time  0.446504
2021-09-25 18:27:24.235571 : Epoch 10, Batch     98, Loss  0.857383, Average Loss  0.868137, Time  0.445765
2021-09-25 18:27:25.605338 : Epoch 10, Batch    440, Loss  0.847787, Average Loss  0.868557, Time  0.453479
2021-09-25 18:27:30.254690 : Epoch 10, Batch     99, Loss  0.870356, Average Loss  0.868202, Time  0.446251
2021-09-25 18:27:31.669874 : Epoch 10, Batch    441, Loss  0.870814, Average Loss  0.868483, Time  0.447635
2021-09-25 18:27:36.281313 : Epoch 10, Batch    100, Loss  0.862142, Average Loss  0.868184, Time  0.444611
2021-09-25 18:27:37.726352 : Epoch 10, Batch    442, Loss  0.856403, Average Loss  0.868402, Time  0.445159
2021-09-25 18:27:42.327511 : Epoch 10, Batch    101, Loss  0.874712, Average Loss  0.868237, Time  0.446561
2021-09-25 18:27:43.800160 : Epoch 10, Batch    443, Loss  0.859490, Average Loss  0.868264, Time  0.449201
2021-09-25 18:27:48.378305 : Epoch 10, Batch    102, Loss  0.855203, Average Loss  0.868255, Time  0.451124
2021-09-25 18:27:49.883176 : Epoch 10, Batch    444, Loss  0.860595, Average Loss  0.868207, Time  0.447430
2021-09-25 18:27:54.412818 : Epoch 10, Batch    103, Loss  0.856870, Average Loss  0.868198, Time  0.443686
2021-09-25 18:27:55.965777 : Epoch 10, Batch    445, Loss  0.878430, Average Loss  0.868280, Time  0.445215
2021-09-25 18:28:00.474334 : Epoch 10, Batch    104, Loss  0.869796, Average Loss  0.868198, Time  0.456033
2021-09-25 18:28:02.032478 : Epoch 10, Batch    446, Loss  0.873764, Average Loss  0.868327, Time  0.446670
2021-09-25 18:28:06.517990 : Epoch 10, Batch    105, Loss  0.866782, Average Loss  0.868161, Time  0.445514
2021-09-25 18:28:08.142650 : Epoch 10, Batch    447, Loss  0.874850, Average Loss  0.868355, Time  0.459175
2021-09-25 18:28:12.582604 : Epoch 10, Batch    106, Loss  0.856953, Average Loss  0.868108, Time  0.445057
2021-09-25 18:28:14.221365 : Epoch 10, Batch    448, Loss  0.889053, Average Loss  0.868477, Time  0.446651
2021-09-25 18:28:18.645903 : Epoch 10, Batch    107, Loss  0.857135, Average Loss  0.868069, Time  0.446018
2021-09-25 18:28:24.687863 : Epoch 10, Batch    108, Loss  0.875949, Average Loss  0.868113, Time  0.453110
2021-09-25 18:28:30.746154 : Epoch 10, Batch    109, Loss  0.876141, Average Loss  0.868147, Time  0.447660
2021-09-25 18:28:36.819636 : Epoch 10, Batch    110, Loss  0.863984, Average Loss  0.868192, Time  0.444119
2021-09-25 18:28:42.894114 : Epoch 10, Batch    111, Loss  0.862946, Average Loss  0.868120, Time  0.444634
2021-09-25 18:28:48.946933 : Epoch 10, Batch    112, Loss  0.863998, Average Loss  0.868149, Time  0.454398
2021-09-25 18:28:54.983823 : Epoch 10, Batch    113, Loss  0.869590, Average Loss  0.868083, Time  0.444061
2021-09-25 18:29:01.025231 : Epoch 10, Batch    114, Loss  0.865426, Average Loss  0.868012, Time  0.448251
2021-09-25 18:29:07.100252 : Epoch 10, Batch    115, Loss  0.882165, Average Loss  0.868108, Time  0.444058
2021-09-25 18:29:13.139029 : Epoch 10, Batch    116, Loss  0.868859, Average Loss  0.868095, Time  0.444279
2021-09-25 18:29:19.181069 : Epoch 10, Batch    117, Loss  0.857056, Average Loss  0.868098, Time  0.443846
2021-09-25 18:29:25.225809 : Epoch 10, Batch    118, Loss  0.869756, Average Loss  0.868098, Time  0.445772
2021-09-25 18:29:31.274891 : Epoch 10, Batch    119, Loss  0.871121, Average Loss  0.868042, Time  0.444890
2021-09-25 18:29:37.329175 : Epoch 10, Batch    120, Loss  0.877043, Average Loss  0.867998, Time  0.458055
2021-09-25 18:29:43.336351 : Epoch 10, Batch    121, Loss  0.871107, Average Loss  0.868047, Time  0.445541
2021-09-25 18:29:49.421131 : Epoch 10, Batch    122, Loss  0.861147, Average Loss  0.867988, Time  0.447919
2021-09-25 18:29:55.439302 : Epoch 10, Batch    123, Loss  0.878812, Average Loss  0.868010, Time  0.444507
2021-09-25 18:30:01.471053 : Epoch 10, Batch    124, Loss  0.863947, Average Loss  0.867976, Time  0.447636
2021-09-25 18:30:07.507045 : Epoch 10, Batch    125, Loss  0.881582, Average Loss  0.867936, Time  0.444055
2021-09-25 18:30:13.550109 : Epoch 10, Batch    126, Loss  0.859733, Average Loss  0.867875, Time  0.444211
2021-09-25 18:30:19.591267 : Epoch 10, Batch    127, Loss  0.879071, Average Loss  0.867878, Time  0.459724
2021-09-25 18:30:25.626362 : Epoch 10, Batch    128, Loss  0.875215, Average Loss  0.867825, Time  0.448728
2021-09-25 18:30:31.648182 : Epoch 10, Batch    129, Loss  0.861878, Average Loss  0.867825, Time  0.444392
2021-09-25 18:30:37.694031 : Epoch 10, Batch    130, Loss  0.868988, Average Loss  0.867856, Time  0.446603
2021-09-25 18:30:43.746430 : Epoch 10, Batch    131, Loss  0.868495, Average Loss  0.867815, Time  0.443238
2021-09-25 18:30:49.769850 : Epoch 10, Batch    132, Loss  0.887096, Average Loss  0.867867, Time  0.444041
2021-09-25 18:30:55.729774 : Epoch 10, Batch    133, Loss  0.862917, Average Loss  0.867890, Time  0.442559
2021-09-25 18:31:01.418849 : Epoch 10, Batch    134, Loss  0.876676, Average Loss  0.867889, Time  0.443485
2021-09-25 18:31:07.156150 : Epoch 10, Batch    135, Loss  0.866033, Average Loss  0.867937, Time  0.451688
2021-09-25 18:31:12.834724 : Epoch 10, Batch    136, Loss  0.868911, Average Loss  0.867930, Time  0.442818
2021-09-25 18:31:18.545114 : Epoch 10, Batch    137, Loss  0.866755, Average Loss  0.867888, Time  0.441965
2021-09-25 18:31:24.237275 : Epoch 10, Batch    138, Loss  0.870872, Average Loss  0.867929, Time  0.442642
2021-09-25 18:31:29.926807 : Epoch 10, Batch    139, Loss  0.864277, Average Loss  0.867918, Time  0.442425
2021-09-25 18:31:35.642375 : Epoch 10, Batch    140, Loss  0.872701, Average Loss  0.867914, Time  0.444489
2021-09-25 18:31:41.334567 : Epoch 10, Batch    141, Loss  0.876468, Average Loss  0.868000, Time  0.442288
2021-09-25 18:31:47.038994 : Epoch 10, Batch    142, Loss  0.855245, Average Loss  0.867914, Time  0.442260
2021-09-25 18:31:52.770371 : Epoch 10, Batch    143, Loss  0.862204, Average Loss  0.867901, Time  0.451144
2021-09-25 18:31:58.436510 : Epoch 10, Batch    144, Loss  0.877049, Average Loss  0.867914, Time  0.441850
2021-09-25 18:32:04.132679 : Epoch 10, Batch    145, Loss  0.871884, Average Loss  0.867901, Time  0.442613
2021-09-25 18:32:09.828280 : Epoch 10, Batch    146, Loss  0.858556, Average Loss  0.867932, Time  0.442625
2021-09-25 18:32:15.470188 : Epoch 10, Batch    147, Loss  0.890202, Average Loss  0.867995, Time  0.443178
2021-09-25 18:32:21.179783 : Epoch 10, Batch    148, Loss  0.872904, Average Loss  0.868076, Time  0.442280
2021-09-25 18:32:52.103347 : CheckPoint: Validation Loss  0.00015120, Best Loss  0.00014749
2021-09-25 18:32:57.825595 : Epoch 10, Batch    449, Loss  0.883210, Average Loss  0.868571, Time  0.443908
2021-09-25 18:33:03.567162 : Epoch 10, Batch    450, Loss  0.873637, Average Loss  0.868627, Time  0.443588
2021-09-25 18:33:09.245659 : Epoch 10, Batch    451, Loss  0.864965, Average Loss  0.868663, Time  0.442674
2021-09-25 18:33:14.915059 : Epoch 10, Batch    452, Loss  0.849528, Average Loss  0.868615, Time  0.444005
2021-09-25 18:33:20.656102 : Epoch 10, Batch    453, Loss  0.863176, Average Loss  0.868653, Time  0.443517
2021-09-25 18:33:26.381255 : Epoch 10, Batch    454, Loss  0.867815, Average Loss  0.868681, Time  0.443683
2021-09-25 18:33:32.093539 : Epoch 10, Batch    455, Loss  0.867892, Average Loss  0.868659, Time  0.443235
2021-09-25 18:33:37.838084 : Epoch 10, Batch    456, Loss  0.868274, Average Loss  0.868598, Time  0.449251
2021-09-25 18:33:43.578941 : Epoch 10, Batch    457, Loss  0.880615, Average Loss  0.868534, Time  0.442808
2021-09-25 18:33:49.308329 : Epoch 10, Batch    458, Loss  0.875553, Average Loss  0.868588, Time  0.442655
2021-09-25 18:33:55.034693 : Epoch 10, Batch    459, Loss  0.873855, Average Loss  0.868664, Time  0.443349
2021-09-25 18:34:00.796641 : Epoch 10, Batch    460, Loss  0.859452, Average Loss  0.868632, Time  0.442910
2021-09-25 18:34:06.512624 : Epoch 10, Batch    461, Loss  0.873555, Average Loss  0.868689, Time  0.444357
2021-09-25 18:34:12.254082 : Epoch 10, Batch    462, Loss  0.866284, Average Loss  0.868713, Time  0.442847
2021-09-25 18:34:17.946639 : Epoch 10, Batch    463, Loss  0.850009, Average Loss  0.868615, Time  0.442998
2021-09-25 18:34:23.691124 : Epoch 10, Batch    464, Loss  0.853883, Average Loss  0.868513, Time  0.457209
2021-09-25 18:34:29.382479 : Epoch 10, Batch    465, Loss  0.863346, Average Loss  0.868488, Time  0.442923
2021-09-25 18:34:35.098368 : Epoch 10, Batch    466, Loss  0.870952, Average Loss  0.868504, Time  0.443228
2021-09-25 18:34:40.830654 : Epoch 10, Batch    467, Loss  0.856570, Average Loss  0.868463, Time  0.444179
2021-09-25 18:34:46.521770 : Epoch 10, Batch    468, Loss  0.878309, Average Loss  0.868541, Time  0.443475
2021-09-25 18:34:52.229974 : Epoch 10, Batch    469, Loss  0.864083, Average Loss  0.868511, Time  0.443407
2021-09-25 18:34:58.010236 : Epoch 10, Batch    470, Loss  0.869881, Average Loss  0.868556, Time  0.443293
2021-09-25 18:35:03.764750 : Epoch 10, Batch    471, Loss  0.868816, Average Loss  0.868522, Time  0.443714
2021-09-25 18:35:09.541336 : Epoch 10, Batch    472, Loss  0.868001, Average Loss  0.868488, Time  0.453080
2021-09-25 18:35:15.268089 : Epoch 10, Batch    473, Loss  0.862583, Average Loss  0.868492, Time  0.443587
2021-09-25 18:35:21.067961 : Epoch 10, Batch    474, Loss  0.866613, Average Loss  0.868528, Time  0.442685
2021-09-25 18:35:26.764612 : Epoch 10, Batch    475, Loss  0.867658, Average Loss  0.868497, Time  0.444602
2021-09-25 18:35:32.511179 : Epoch 10, Batch    476, Loss  0.869762, Average Loss  0.868479, Time  0.445095
2021-09-25 18:35:38.282683 : Epoch 10, Batch    477, Loss  0.884518, Average Loss  0.868652, Time  0.444603
2021-09-25 18:35:44.117946 : Epoch 10, Batch    478, Loss  0.868584, Average Loss  0.868621, Time  0.444079
2021-09-25 18:35:49.919937 : Epoch 10, Batch    479, Loss  0.865247, Average Loss  0.868596, Time  0.443337
2021-09-25 18:35:55.708333 : Epoch 10, Batch    480, Loss  0.872642, Average Loss  0.868558, Time  0.449224
2021-09-25 18:36:01.545783 : Epoch 10, Batch    481, Loss  0.858305, Average Loss  0.868507, Time  0.444768
2021-09-25 18:36:07.404517 : Epoch 10, Batch    482, Loss  0.881329, Average Loss  0.868613, Time  0.443733
2021-09-25 18:36:13.178014 : Epoch 10, Batch    483, Loss  0.856449, Average Loss  0.868532, Time  0.444770
2021-09-25 18:36:18.921637 : Epoch 10, Batch    484, Loss  0.881916, Average Loss  0.868564, Time  0.443760
2021-09-25 18:36:24.660515 : Epoch 10, Batch    485, Loss  0.859823, Average Loss  0.868458, Time  0.442899
2021-09-25 18:36:30.414958 : Epoch 10, Batch    486, Loss  0.876350, Average Loss  0.868441, Time  0.443303
2021-09-25 18:36:36.192220 : Epoch 10, Batch    487, Loss  0.880040, Average Loss  0.868419, Time  0.443331
2021-09-25 18:36:42.062672 : Epoch 10, Batch    488, Loss  0.871716, Average Loss  0.868388, Time  0.459339
2021-09-25 18:36:47.953666 : Epoch 10, Batch    489, Loss  0.871083, Average Loss  0.868479, Time  0.444323
2021-09-25 18:36:49.735830 : CheckPoint: Validation Loss  0.00015036, Best Loss  0.00014737
2021-09-25 18:36:53.748498 : Epoch 10, Batch    490, Loss  0.857467, Average Loss  0.868446, Time  0.444434
2021-09-25 18:36:55.479991 : Epoch 10, Batch    149, Loss  0.862396, Average Loss  0.868067, Time  0.442818
2021-09-25 18:36:59.520234 : Epoch 10, Batch    491, Loss  0.868464, Average Loss  0.868485, Time  0.444114
2021-09-25 18:37:01.200784 : Epoch 10, Batch    150, Loss  0.872888, Average Loss  0.868084, Time  0.442497
2021-09-25 18:37:05.283200 : Epoch 10, Batch    492, Loss  0.874522, Average Loss  0.868432, Time  0.443790
2021-09-25 18:37:06.956423 : Epoch 10, Batch    151, Loss  0.857981, Average Loss  0.868064, Time  0.443058
2021-09-25 18:37:11.122420 : Epoch 10, Batch    493, Loss  0.864595, Average Loss  0.868405, Time  0.444088
2021-09-25 18:37:12.760701 : Epoch 10, Batch    152, Loss  0.856250, Average Loss  0.868061, Time  0.442301
2021-09-25 18:37:16.884759 : Epoch 10, Batch    494, Loss  0.869837, Average Loss  0.868457, Time  0.443392
2021-09-25 18:37:18.509541 : Epoch 10, Batch    153, Loss  0.858901, Average Loss  0.868013, Time  0.442473
2021-09-25 18:37:22.641685 : Epoch 10, Batch    495, Loss  0.867566, Average Loss  0.868415, Time  0.443589
2021-09-25 18:37:24.238985 : Epoch 10, Batch    154, Loss  0.878290, Average Loss  0.868116, Time  0.457754
2021-09-25 18:37:28.410729 : Epoch 10, Batch    496, Loss  0.866855, Average Loss  0.868363, Time  0.454853
2021-09-25 18:37:29.971372 : Epoch 10, Batch    155, Loss  0.864794, Average Loss  0.868076, Time  0.443402
2021-09-25 18:37:34.184255 : Epoch 10, Batch    497, Loss  0.851578, Average Loss  0.868192, Time  0.444607
2021-09-25 18:37:35.867310 : Epoch 10, Batch    156, Loss  0.862554, Average Loss  0.868030, Time  0.471498
2021-09-25 18:37:40.003198 : Epoch 10, Batch    498, Loss  0.866691, Average Loss  0.868170, Time  0.444199
2021-09-25 18:37:41.683137 : Epoch 10, Batch    157, Loss  0.875727, Average Loss  0.868130, Time  0.444060
2021-09-25 18:37:45.814107 : Epoch 10, Batch    499, Loss  0.882179, Average Loss  0.868288, Time  0.444929
2021-09-25 18:37:47.461148 : Epoch 10, Batch    158, Loss  0.860863, Average Loss  0.868051, Time  0.443590
2021-09-25 18:37:51.574151 : Epoch 10, Batch    500, Loss  0.870543, Average Loss  0.868312, Time  0.443896
2021-09-25 18:37:53.203323 : Epoch 10, Batch    159, Loss  0.863098, Average Loss  0.868059, Time  0.444532
2021-09-25 18:37:57.409161 : Epoch 10, Batch    501, Loss  0.854048, Average Loss  0.868264, Time  0.444624
2021-09-25 18:37:59.010913 : Epoch 10, Batch    160, Loss  0.874767, Average Loss  0.868063, Time  0.443669
2021-09-25 18:38:03.208339 : Epoch 10, Batch    502, Loss  0.864779, Average Loss  0.868270, Time  0.443274
2021-09-25 18:38:04.747356 : Epoch 10, Batch    161, Loss  0.865869, Average Loss  0.868030, Time  0.442261
2021-09-25 18:38:09.027531 : Epoch 10, Batch    503, Loss  0.867485, Average Loss  0.868205, Time  0.443423
2021-09-25 18:38:10.556801 : Epoch 10, Batch    162, Loss  0.874702, Average Loss  0.868049, Time  0.458677
2021-09-25 18:38:14.846242 : Epoch 10, Batch    504, Loss  0.880213, Average Loss  0.868251, Time  0.459172
2021-09-25 18:38:16.339958 : Epoch 10, Batch    163, Loss  0.879140, Average Loss  0.868092, Time  0.444708
2021-09-25 18:38:20.648018 : Epoch 10, Batch    505, Loss  0.860089, Average Loss  0.868200, Time  0.445617
2021-09-25 18:38:22.215935 : Epoch 10, Batch    164, Loss  0.873239, Average Loss  0.868131, Time  0.448996
2021-09-25 18:38:26.375127 : Epoch 10, Batch    506, Loss  0.881435, Average Loss  0.868235, Time  0.444479
2021-09-25 18:38:28.027269 : Epoch 10, Batch    165, Loss  0.853497, Average Loss  0.868005, Time  0.444072
2021-09-25 18:38:32.184992 : Epoch 10, Batch    507, Loss  0.865695, Average Loss  0.868189, Time  0.444566
2021-09-25 18:38:33.834696 : Epoch 10, Batch    166, Loss  0.854560, Average Loss  0.867948, Time  0.443865
2021-09-25 18:38:37.949176 : Epoch 10, Batch    508, Loss  0.874662, Average Loss  0.868258, Time  0.442530
2021-09-25 18:38:39.489687 : Epoch 10, Batch    167, Loss  0.858606, Average Loss  0.867939, Time  0.445097
2021-09-25 18:38:43.647388 : Epoch 10, Batch    509, Loss  0.873744, Average Loss  0.868248, Time  0.443375
2021-09-25 18:38:45.172303 : Epoch 10, Batch    168, Loss  0.884464, Average Loss  0.868005, Time  0.443573
2021-09-25 18:38:49.385951 : Epoch 10, Batch    510, Loss  0.872802, Average Loss  0.868241, Time  0.444679
2021-09-25 18:38:50.899382 : Epoch 10, Batch    169, Loss  0.862697, Average Loss  0.867904, Time  0.443824
2021-09-25 18:38:55.201543 : Epoch 10, Batch    511, Loss  0.854710, Average Loss  0.868171, Time  0.446405
2021-09-25 18:38:56.689912 : Epoch 10, Batch    170, Loss  0.875540, Average Loss  0.867915, Time  0.456829
2021-09-25 18:39:00.987629 : Epoch 10, Batch    512, Loss  0.869836, Average Loss  0.868210, Time  0.457211
2021-09-25 18:39:02.454471 : Epoch 10, Batch    171, Loss  0.863697, Average Loss  0.867908, Time  0.443541
2021-09-25 18:39:06.727445 : Epoch 10, Batch    513, Loss  0.866641, Average Loss  0.868239, Time  0.443611
2021-09-25 18:39:08.171842 : Epoch 10, Batch    172, Loss  0.866424, Average Loss  0.867884, Time  0.445152
2021-09-25 18:39:12.502838 : Epoch 10, Batch    514, Loss  0.882308, Average Loss  0.868334, Time  0.443617
2021-09-25 18:39:13.932950 : Epoch 10, Batch    173, Loss  0.871728, Average Loss  0.867914, Time  0.443532
2021-09-25 18:39:18.264235 : Epoch 10, Batch    515, Loss  0.875591, Average Loss  0.868373, Time  0.444507
2021-09-25 18:39:19.711445 : Epoch 10, Batch    174, Loss  0.867246, Average Loss  0.867937, Time  0.444270
2021-09-25 18:39:24.066213 : Epoch 10, Batch    516, Loss  0.867055, Average Loss  0.868381, Time  0.444765
2021-09-25 18:39:25.479352 : Epoch 10, Batch    175, Loss  0.870944, Average Loss  0.867859, Time  0.445341
2021-09-25 18:39:29.977508 : Epoch 10, Batch    517, Loss  0.874358, Average Loss  0.868416, Time  0.445405
2021-09-25 18:39:31.389545 : Epoch 10, Batch    176, Loss  0.862488, Average Loss  0.867840, Time  0.443447
2021-09-25 18:39:35.772756 : Epoch 10, Batch    518, Loss  0.867934, Average Loss  0.868410, Time  0.444433
2021-09-25 18:39:37.111750 : Epoch 10, Batch    177, Loss  0.861474, Average Loss  0.867751, Time  0.442496
2021-09-25 18:39:41.501763 : Epoch 10, Batch    519, Loss  0.868865, Average Loss  0.868378, Time  0.444705
2021-09-25 18:39:42.841842 : Epoch 10, Batch    178, Loss  0.871898, Average Loss  0.867749, Time  0.454203
2021-09-25 18:39:47.280249 : Epoch 10, Batch    520, Loss  0.870679, Average Loss  0.868394, Time  0.456161
2021-09-25 18:39:48.587860 : Epoch 10, Batch    179, Loss  0.872701, Average Loss  0.867799, Time  0.442507
2021-09-25 18:39:53.109495 : Epoch 10, Batch    521, Loss  0.878939, Average Loss  0.868503, Time  0.443410
2021-09-25 18:39:54.409827 : Epoch 10, Batch    180, Loss  0.890471, Average Loss  0.867841, Time  0.443772
2021-09-25 18:39:58.932142 : Epoch 10, Batch    522, Loss  0.860342, Average Loss  0.868430, Time  0.444191
2021-09-25 18:40:00.264563 : Epoch 10, Batch    181, Loss  0.858498, Average Loss  0.867792, Time  0.443246
2021-09-25 18:40:04.725506 : Epoch 10, Batch    523, Loss  0.887746, Average Loss  0.868524, Time  0.444782
2021-09-25 18:40:06.010143 : Epoch 10, Batch    182, Loss  0.854940, Average Loss  0.867725, Time  0.444148
2021-09-25 18:40:10.546423 : Epoch 10, Batch    524, Loss  0.882327, Average Loss  0.868596, Time  0.445200
2021-09-25 18:40:11.830096 : Epoch 10, Batch    183, Loss  0.860972, Average Loss  0.867674, Time  0.444227
2021-09-25 18:40:16.359145 : Epoch 10, Batch    525, Loss  0.875198, Average Loss  0.868659, Time  0.443913
2021-09-25 18:40:17.622274 : Epoch 10, Batch    184, Loss  0.864712, Average Loss  0.867690, Time  0.443103
2021-09-25 18:40:22.169198 : Epoch 10, Batch    526, Loss  0.856538, Average Loss  0.868569, Time  0.444306
2021-09-25 18:40:23.407310 : Epoch 10, Batch    185, Loss  0.873321, Average Loss  0.867699, Time  0.443417
2021-09-25 18:40:27.962649 : Epoch 10, Batch    527, Loss  0.866815, Average Loss  0.868537, Time  0.445999
2021-09-25 18:40:29.173166 : Epoch 10, Batch    186, Loss  0.866564, Average Loss  0.867740, Time  0.448794
2021-09-25 18:40:33.717467 : Epoch 10, Batch    528, Loss  0.891176, Average Loss  0.868643, Time  0.457167
2021-09-25 18:40:34.868428 : Epoch 10, Batch    187, Loss  0.883001, Average Loss  0.867808, Time  0.443354
2021-09-25 18:40:39.514042 : Epoch 10, Batch    529, Loss  0.868750, Average Loss  0.868635, Time  0.446370
2021-09-25 18:40:40.696509 : Epoch 10, Batch    188, Loss  0.866819, Average Loss  0.867857, Time  0.442619
2021-09-25 18:40:45.284936 : Epoch 10, Batch    530, Loss  0.875897, Average Loss  0.868719, Time  0.443566
2021-09-25 18:40:46.401007 : Epoch 10, Batch    189, Loss  0.863449, Average Loss  0.867780, Time  0.442299
2021-09-25 18:40:51.019690 : Epoch 10, Batch    531, Loss  0.875612, Average Loss  0.868739, Time  0.443672
2021-09-25 18:40:52.110032 : Epoch 10, Batch    190, Loss  0.875097, Average Loss  0.867742, Time  0.442682
2021-09-25 18:40:56.802010 : Epoch 10, Batch    532, Loss  0.867080, Average Loss  0.868635, Time  0.443710
2021-09-25 18:40:57.869008 : Epoch 10, Batch    191, Loss  0.857865, Average Loss  0.867646, Time  0.442780
2021-09-25 18:41:02.624687 : Epoch 10, Batch    533, Loss  0.865604, Average Loss  0.868664, Time  0.444713
2021-09-25 18:41:03.706984 : Epoch 10, Batch    192, Loss  0.862582, Average Loss  0.867588, Time  0.445816
2021-09-25 18:41:08.378751 : Epoch 10, Batch    534, Loss  0.872306, Average Loss  0.868699, Time  0.443158
2021-09-25 18:41:09.439972 : Epoch 10, Batch    193, Loss  0.859446, Average Loss  0.867495, Time  0.444157
2021-09-25 18:41:14.257539 : Epoch 10, Batch    535, Loss  0.868510, Average Loss  0.868716, Time  0.443219
2021-09-25 18:41:15.275317 : Epoch 10, Batch    194, Loss  0.872811, Average Loss  0.867624, Time  0.452641
2021-09-25 18:41:20.062214 : Epoch 10, Batch    536, Loss  0.863821, Average Loss  0.868696, Time  0.454366
2021-09-25 18:41:21.030108 : Epoch 10, Batch    195, Loss  0.877317, Average Loss  0.867705, Time  0.442388
2021-09-25 18:41:25.853934 : Epoch 10, Batch    537, Loss  0.857250, Average Loss  0.868679, Time  0.444101
2021-09-25 18:41:26.787655 : Epoch 10, Batch    196, Loss  0.862028, Average Loss  0.867687, Time  0.442911
2021-09-25 18:41:31.693490 : Epoch 10, Batch    538, Loss  0.864930, Average Loss  0.868697, Time  0.446046
2021-09-25 18:41:32.615905 : Epoch 10, Batch    197, Loss  0.865395, Average Loss  0.867646, Time  0.443145
2021-09-25 18:41:37.507132 : Epoch 10, Batch    539, Loss  0.872330, Average Loss  0.868675, Time  0.444695
2021-09-25 18:41:38.371630 : Epoch 10, Batch    198, Loss  0.860952, Average Loss  0.867600, Time  0.443538
2021-09-25 18:41:43.292738 : Epoch 10, Batch    540, Loss  0.858017, Average Loss  0.868621, Time  0.443411
2021-09-25 18:41:44.118001 : Epoch 10, Batch    199, Loss  0.868245, Average Loss  0.867595, Time  0.443980
2021-09-25 18:41:49.107817 : Epoch 10, Batch    541, Loss  0.859311, Average Loss  0.868577, Time  0.443880
2021-09-25 18:41:49.910019 : Epoch 10, Batch    200, Loss  0.875374, Average Loss  0.867650, Time  0.443147
2021-09-25 18:41:54.984048 : Epoch 10, Batch    542, Loss  0.870420, Average Loss  0.868556, Time  0.445393
2021-09-25 18:41:55.760684 : Epoch 10, Batch    201, Loss  0.860155, Average Loss  0.867540, Time  0.443060
2021-09-25 18:42:00.798504 : Epoch 10, Batch    543, Loss  0.887021, Average Loss  0.868622, Time  0.444507
2021-09-25 18:42:01.546817 : Epoch 10, Batch    202, Loss  0.857009, Average Loss  0.867540, Time  0.454879
2021-09-25 18:42:06.589973 : Epoch 10, Batch    544, Loss  0.867791, Average Loss  0.868721, Time  0.451632
2021-09-25 18:42:07.329124 : Epoch 10, Batch    203, Loss  0.875301, Average Loss  0.867661, Time  0.445065
2021-09-25 18:42:12.440462 : Epoch 10, Batch    545, Loss  0.849935, Average Loss  0.868697, Time  0.443266
2021-09-25 18:42:13.110244 : Epoch 10, Batch    204, Loss  0.868764, Average Loss  0.867642, Time  0.442502
2021-09-25 18:42:18.246802 : Epoch 10, Batch    546, Loss  0.872897, Average Loss  0.868720, Time  0.443104
2021-09-25 18:42:18.893086 : Epoch 10, Batch    205, Loss  0.859518, Average Loss  0.867527, Time  0.442926
2021-09-25 18:42:23.995123 : Epoch 10, Batch    547, Loss  0.876467, Average Loss  0.868716, Time  0.443810
2021-09-25 18:42:24.607448 : Epoch 10, Batch    206, Loss  0.864058, Average Loss  0.867458, Time  0.442284
2021-09-25 18:42:29.747918 : Epoch 10, Batch    548, Loss  0.862039, Average Loss  0.868697, Time  0.443494
2021-09-25 18:42:30.335645 : Epoch 10, Batch    207, Loss  0.877706, Average Loss  0.867491, Time  0.445215
2021-09-25 18:42:36.091332 : Epoch 10, Batch    208, Loss  0.872705, Average Loss  0.867502, Time  0.443726
2021-09-25 18:42:41.846452 : Epoch 10, Batch    209, Loss  0.866867, Average Loss  0.867493, Time  0.442896
2021-09-25 18:42:47.590967 : Epoch 10, Batch    210, Loss  0.861886, Average Loss  0.867493, Time  0.461194
2021-09-25 18:42:53.397916 : Epoch 10, Batch    211, Loss  0.872979, Average Loss  0.867507, Time  0.443370
2021-09-25 18:42:59.162647 : Epoch 10, Batch    212, Loss  0.864279, Average Loss  0.867418, Time  0.442488
2021-09-25 18:43:04.927781 : Epoch 10, Batch    213, Loss  0.870588, Average Loss  0.867418, Time  0.442597
2021-09-25 18:43:10.674754 : Epoch 10, Batch    214, Loss  0.869652, Average Loss  0.867371, Time  0.441926
2021-09-25 18:43:16.421628 : Epoch 10, Batch    215, Loss  0.852820, Average Loss  0.867321, Time  0.444049
2021-09-25 18:43:22.213513 : Epoch 10, Batch    216, Loss  0.867449, Average Loss  0.867309, Time  0.445643
2021-09-25 18:43:27.981469 : Epoch 10, Batch    217, Loss  0.864966, Average Loss  0.867321, Time  0.442396
2021-09-25 18:43:33.700731 : Epoch 10, Batch    218, Loss  0.843562, Average Loss  0.867248, Time  0.455621
2021-09-25 18:43:39.409857 : Epoch 10, Batch    219, Loss  0.858470, Average Loss  0.867250, Time  0.443103
2021-09-25 18:43:45.243311 : Epoch 10, Batch    220, Loss  0.863188, Average Loss  0.867172, Time  0.444010
2021-09-25 18:43:51.056724 : Epoch 10, Batch    221, Loss  0.874016, Average Loss  0.867232, Time  0.443474
2021-09-25 18:43:56.822332 : Epoch 10, Batch    222, Loss  0.852267, Average Loss  0.867229, Time  0.443629
2021-09-25 18:44:02.605019 : Epoch 10, Batch    223, Loss  0.862990, Average Loss  0.867169, Time  0.442042
2021-09-25 18:44:08.399417 : Epoch 10, Batch    224, Loss  0.868158, Average Loss  0.867160, Time  0.442732
2021-09-25 18:44:14.252247 : Epoch 10, Batch    225, Loss  0.863207, Average Loss  0.867137, Time  0.445612
2021-09-25 18:44:20.061782 : Epoch 10, Batch    226, Loss  0.855205, Average Loss  0.867052, Time  0.456711
2021-09-25 18:44:25.831513 : Epoch 10, Batch    227, Loss  0.869457, Average Loss  0.867029, Time  0.443850
2021-09-25 18:44:31.620502 : Epoch 10, Batch    228, Loss  0.873775, Average Loss  0.867080, Time  0.443795
2021-09-25 18:44:37.366387 : Epoch 10, Batch    229, Loss  0.868215, Average Loss  0.867146, Time  0.443388
2021-09-25 18:44:43.188606 : Epoch 10, Batch    230, Loss  0.879400, Average Loss  0.867210, Time  0.443684
2021-09-25 18:44:49.056201 : Epoch 10, Batch    231, Loss  0.864634, Average Loss  0.867174, Time  0.444485
2021-09-25 18:44:54.901937 : Epoch 10, Batch    232, Loss  0.879011, Average Loss  0.867198, Time  0.442669
2021-09-25 18:45:00.573631 : Epoch 10, Batch    233, Loss  0.863646, Average Loss  0.867245, Time  0.444005
2021-09-25 18:45:06.418070 : Epoch 10, Batch    234, Loss  0.876228, Average Loss  0.867251, Time  0.452884
2021-09-25 18:45:12.127178 : Epoch 10, Batch    235, Loss  0.869202, Average Loss  0.867258, Time  0.444351
2021-09-25 18:45:17.870102 : Epoch 10, Batch    236, Loss  0.863398, Average Loss  0.867219, Time  0.444976
2021-09-25 18:45:23.537983 : Epoch 10, Batch    237, Loss  0.861894, Average Loss  0.867232, Time  0.443181
2021-09-25 18:45:29.231019 : Epoch 10, Batch    238, Loss  0.863166, Average Loss  0.867172, Time  0.442932
2021-09-25 18:45:34.987791 : Epoch 10, Batch    239, Loss  0.866890, Average Loss  0.867145, Time  0.444038
2021-09-25 18:45:40.733756 : Epoch 10, Batch    240, Loss  0.872559, Average Loss  0.867115, Time  0.443454
2021-09-25 18:45:46.526152 : Epoch 10, Batch    241, Loss  0.866757, Average Loss  0.867194, Time  0.444696
2021-09-25 18:45:52.359827 : Epoch 10, Batch    242, Loss  0.864891, Average Loss  0.867169, Time  0.455019
2021-09-25 18:45:58.153841 : Epoch 10, Batch    243, Loss  0.872102, Average Loss  0.867134, Time  0.444256
2021-09-25 18:46:03.940165 : Epoch 10, Batch    244, Loss  0.856870, Average Loss  0.867032, Time  0.443480
2021-09-25 18:46:09.691756 : Epoch 10, Batch    245, Loss  0.872334, Average Loss  0.867089, Time  0.442750
2021-09-25 18:46:15.484911 : Epoch 10, Batch    246, Loss  0.882842, Average Loss  0.867220, Time  0.445719
2021-09-25 18:46:21.229319 : Epoch 10, Batch    247, Loss  0.870388, Average Loss  0.867273, Time  0.443092
2021-09-25 18:46:26.973681 : Epoch 10, Batch    248, Loss  0.861444, Average Loss  0.867304, Time  0.442862
2021-09-25 18:47:06.316312 : CheckPoint: Validation Loss  0.00015203, Best Loss  0.00014749
2021-09-25 18:47:12.134747 : Epoch 10, Batch    549, Loss  0.880457, Average Loss  0.868800, Time  0.444184
2021-09-25 18:47:18.043027 : Epoch 10, Batch    550, Loss  0.861204, Average Loss  0.868711, Time  0.442706
2021-09-25 18:47:23.872759 : Epoch 10, Batch    551, Loss  0.861001, Average Loss  0.868669, Time  0.447851
2021-09-25 18:47:29.673944 : Epoch 10, Batch    552, Loss  0.877259, Average Loss  0.868756, Time  0.444400
2021-09-25 18:47:35.518070 : Epoch 10, Batch    553, Loss  0.880233, Average Loss  0.868891, Time  0.449944
2021-09-25 18:47:41.474848 : Epoch 10, Batch    554, Loss  0.869359, Average Loss  0.868936, Time  0.472505
2021-09-25 18:47:47.449812 : Epoch 10, Batch    555, Loss  0.867217, Average Loss  0.868941, Time  0.446002
2021-09-25 18:47:53.265965 : Epoch 10, Batch    556, Loss  0.863574, Average Loss  0.868992, Time  0.446461
2021-09-25 18:47:59.103198 : Epoch 10, Batch    557, Loss  0.869198, Average Loss  0.868921, Time  0.444231
2021-09-25 18:48:04.997392 : Epoch 10, Batch    558, Loss  0.884926, Average Loss  0.868998, Time  0.445512
2021-09-25 18:48:10.772200 : Epoch 10, Batch    559, Loss  0.869729, Average Loss  0.869094, Time  0.443843
2021-09-25 18:48:16.594388 : Epoch 10, Batch    560, Loss  0.841927, Average Loss  0.868921, Time  0.444429
2021-09-25 18:48:22.372730 : Epoch 10, Batch    561, Loss  0.857887, Average Loss  0.868885, Time  0.458338
2021-09-25 18:48:28.183983 : Epoch 10, Batch    562, Loss  0.879789, Average Loss  0.868908, Time  0.444844
2021-09-25 18:48:34.003403 : Epoch 10, Batch    563, Loss  0.873280, Average Loss  0.868876, Time  0.444291
2021-09-25 18:48:39.724822 : Epoch 10, Batch    564, Loss  0.866542, Average Loss  0.868837, Time  0.443554
2021-09-25 18:48:45.568524 : Epoch 10, Batch    565, Loss  0.867854, Average Loss  0.868800, Time  0.442404
2021-09-25 18:48:51.351460 : Epoch 10, Batch    566, Loss  0.867577, Average Loss  0.868790, Time  0.443636
2021-09-25 18:48:57.162599 : Epoch 10, Batch    567, Loss  0.876484, Average Loss  0.868858, Time  0.442631
2021-09-25 18:49:02.976872 : Epoch 10, Batch    568, Loss  0.875635, Average Loss  0.868858, Time  0.444409
2021-09-25 18:49:08.827215 : Epoch 10, Batch    569, Loss  0.875805, Average Loss  0.868948, Time  0.457794
2021-09-25 18:49:14.623556 : Epoch 10, Batch    570, Loss  0.872097, Average Loss  0.868928, Time  0.443209
2021-09-25 18:49:20.485068 : Epoch 10, Batch    571, Loss  0.863031, Average Loss  0.868966, Time  0.444963
2021-09-25 18:49:26.301016 : Epoch 10, Batch    572, Loss  0.883389, Average Loss  0.869034, Time  0.445320
2021-09-25 18:49:32.081679 : Epoch 10, Batch    573, Loss  0.879161, Average Loss  0.869088, Time  0.445285
2021-09-25 18:49:37.894461 : Epoch 10, Batch    574, Loss  0.858623, Average Loss  0.868984, Time  0.443690
2021-09-25 18:49:43.701418 : Epoch 10, Batch    575, Loss  0.863191, Average Loss  0.868998, Time  0.444302
2021-09-25 18:49:49.519464 : Epoch 10, Batch    576, Loss  0.862751, Average Loss  0.868979, Time  0.444220
2021-09-25 18:49:55.338869 : Epoch 10, Batch    577, Loss  0.884287, Average Loss  0.869012, Time  0.455569
2021-09-25 18:50:01.091795 : Epoch 10, Batch    578, Loss  0.861150, Average Loss  0.869101, Time  0.443636
2021-09-25 18:50:06.911859 : Epoch 10, Batch    579, Loss  0.867991, Average Loss  0.869099, Time  0.442978
2021-09-25 18:50:12.732090 : Epoch 10, Batch    580, Loss  0.856834, Average Loss  0.869116, Time  0.443868
2021-09-25 18:50:18.501054 : Epoch 10, Batch    581, Loss  0.862796, Average Loss  0.869058, Time  0.445853
2021-09-25 18:50:24.281725 : Epoch 10, Batch    582, Loss  0.870538, Average Loss  0.869093, Time  0.443151
2021-09-25 18:50:30.065466 : Epoch 10, Batch    583, Loss  0.851035, Average Loss  0.869065, Time  0.443848
2021-09-25 18:50:35.863764 : Epoch 10, Batch    584, Loss  0.883511, Average Loss  0.869201, Time  0.442812
2021-09-25 18:50:41.647129 : Epoch 10, Batch    585, Loss  0.876604, Average Loss  0.869192, Time  0.454788
2021-09-25 18:50:47.461842 : Epoch 10, Batch    586, Loss  0.872035, Average Loss  0.869205, Time  0.443513
2021-09-25 18:50:53.271886 : Epoch 10, Batch    587, Loss  0.866920, Average Loss  0.869166, Time  0.443938
2021-09-25 18:50:58.318256 : CheckPoint: Validation Loss  0.00014789, Best Loss  0.00014737
2021-09-25 18:50:59.128939 : Epoch 10, Batch    588, Loss  0.860557, Average Loss  0.869187, Time  0.445265
2021-09-25 18:51:04.070468 : Epoch 10, Batch    249, Loss  0.874872, Average Loss  0.867338, Time  0.443191
2021-09-25 18:51:04.914802 : Epoch 10, Batch    589, Loss  0.871056, Average Loss  0.869238, Time  0.444220
2021-09-25 18:51:09.813006 : Epoch 10, Batch    250, Loss  0.876778, Average Loss  0.867400, Time  0.444037
2021-09-25 18:51:10.662363 : Epoch 10, Batch    590, Loss  0.860099, Average Loss  0.869196, Time  0.443353
2021-09-25 18:51:15.656442 : Epoch 10, Batch    251, Loss  0.858625, Average Loss  0.867278, Time  0.443669
2021-09-25 18:51:16.552164 : Epoch 10, Batch    591, Loss  0.887390, Average Loss  0.869236, Time  0.444336
2021-09-25 18:51:21.440054 : Epoch 10, Batch    252, Loss  0.857158, Average Loss  0.867138, Time  0.443629
2021-09-25 18:51:22.353794 : Epoch 10, Batch    592, Loss  0.864048, Average Loss  0.869206, Time  0.444192
2021-09-25 18:51:27.263257 : Epoch 10, Batch    253, Loss  0.866710, Average Loss  0.867180, Time  0.454206
2021-09-25 18:51:28.177969 : Epoch 10, Batch    593, Loss  0.880924, Average Loss  0.869257, Time  0.450482
2021-09-25 18:51:33.202828 : Epoch 10, Batch    254, Loss  0.862885, Average Loss  0.867133, Time  0.469086
2021-09-25 18:51:34.107813 : Epoch 10, Batch    594, Loss  0.865596, Average Loss  0.869273, Time  0.443691
2021-09-25 18:51:39.041900 : Epoch 10, Batch    255, Loss  0.860498, Average Loss  0.867106, Time  0.443438
2021-09-25 18:51:39.873186 : Epoch 10, Batch    595, Loss  0.861792, Average Loss  0.869242, Time  0.442554
2021-09-25 18:51:44.952909 : Epoch 10, Batch    256, Loss  0.864927, Average Loss  0.867212, Time  0.446915
2021-09-25 18:51:45.614784 : Epoch 10, Batch    596, Loss  0.867515, Average Loss  0.869232, Time  0.444162
2021-09-25 18:51:50.740349 : Epoch 10, Batch    257, Loss  0.849646, Average Loss  0.867132, Time  0.442771
2021-09-25 18:51:51.388822 : Epoch 10, Batch    597, Loss  0.869731, Average Loss  0.869214, Time  0.442962
2021-09-25 18:51:56.544611 : Epoch 10, Batch    258, Loss  0.850898, Average Loss  0.867065, Time  0.443264
2021-09-25 18:51:57.168232 : Epoch 10, Batch    598, Loss  0.877446, Average Loss  0.869256, Time  0.443918
2021-09-25 18:52:02.347165 : Epoch 10, Batch    259, Loss  0.866623, Average Loss  0.867118, Time  0.444404
2021-09-25 18:52:03.043797 : Epoch 10, Batch    599, Loss  0.870956, Average Loss  0.869269, Time  0.446359
2021-09-25 18:52:08.246931 : Epoch 10, Batch    260, Loss  0.867364, Average Loss  0.867144, Time  0.443238
2021-09-25 18:52:09.022474 : Epoch 10, Batch    600, Loss  0.873018, Average Loss  0.869295, Time  0.443406
2021-09-25 18:52:14.001176 : Epoch 10, Batch    261, Loss  0.857051, Average Loss  0.867117, Time  0.456349
2021-09-25 18:52:14.857200 : Epoch 10, Batch    601, Loss  0.863479, Average Loss  0.869191, Time  0.458931
2021-09-25 18:52:19.728899 : Epoch 10, Batch    262, Loss  0.868993, Average Loss  0.867134, Time  0.443821
2021-09-25 18:52:20.649899 : Epoch 10, Batch    602, Loss  0.861303, Average Loss  0.869062, Time  0.444495
2021-09-25 18:52:25.533188 : Epoch 10, Batch    263, Loss  0.861406, Average Loss  0.867097, Time  0.443451
2021-09-25 18:52:26.529124 : Epoch 10, Batch    603, Loss  0.856985, Average Loss  0.869052, Time  0.442815
2021-09-25 18:52:31.273626 : Epoch 10, Batch    264, Loss  0.861379, Average Loss  0.867030, Time  0.442638
2021-09-25 18:52:32.321196 : Epoch 10, Batch    604, Loss  0.858153, Average Loss  0.868957, Time  0.445394
2021-09-25 18:52:37.048636 : Epoch 10, Batch    265, Loss  0.864327, Average Loss  0.867006, Time  0.444616
2021-09-25 18:52:38.152528 : Epoch 10, Batch    605, Loss  0.871173, Average Loss  0.868952, Time  0.444765
2021-09-25 18:52:42.844694 : Epoch 10, Batch    266, Loss  0.865813, Average Loss  0.867037, Time  0.443159
2021-09-25 18:52:44.019565 : Epoch 10, Batch    606, Loss  0.873302, Average Loss  0.868973, Time  0.445000
2021-09-25 18:52:48.585166 : Epoch 10, Batch    267, Loss  0.865103, Average Loss  0.867122, Time  0.443068
2021-09-25 18:52:49.830743 : Epoch 10, Batch    607, Loss  0.881351, Average Loss  0.869001, Time  0.443867
2021-09-25 18:52:54.314779 : Epoch 10, Batch    268, Loss  0.861970, Average Loss  0.867065, Time  0.444940
2021-09-25 18:52:55.615082 : Epoch 10, Batch    608, Loss  0.860534, Average Loss  0.868936, Time  0.444227
2021-09-25 18:53:00.085792 : Epoch 10, Batch    269, Loss  0.877697, Average Loss  0.867084, Time  0.458843
2021-09-25 18:53:01.433099 : Epoch 10, Batch    609, Loss  0.871338, Average Loss  0.868995, Time  0.452045
2021-09-25 18:53:05.844448 : Epoch 10, Batch    270, Loss  0.874506, Average Loss  0.867063, Time  0.444374
2021-09-25 18:53:07.303792 : Epoch 10, Batch    610, Loss  0.862451, Average Loss  0.868970, Time  0.444487
2021-09-25 18:53:11.663532 : Epoch 10, Batch    271, Loss  0.857855, Average Loss  0.867028, Time  0.443164
2021-09-25 18:53:13.127462 : Epoch 10, Batch    611, Loss  0.875159, Average Loss  0.869038, Time  0.443686
2021-09-25 18:53:17.422965 : Epoch 10, Batch    272, Loss  0.850491, Average Loss  0.866986, Time  0.451467
2021-09-25 18:53:18.971530 : Epoch 10, Batch    612, Loss  0.858981, Average Loss  0.869032, Time  0.445887
2021-09-25 18:53:23.218097 : Epoch 10, Batch    273, Loss  0.857206, Average Loss  0.866955, Time  0.442779
2021-09-25 18:53:24.782201 : Epoch 10, Batch    613, Loss  0.876376, Average Loss  0.869046, Time  0.444658
2021-09-25 18:53:29.001273 : Epoch 10, Batch    274, Loss  0.864284, Average Loss  0.866959, Time  0.443788
2021-09-25 18:53:30.620746 : Epoch 10, Batch    614, Loss  0.861815, Average Loss  0.868994, Time  0.444015
2021-09-25 18:53:34.838621 : Epoch 10, Batch    275, Loss  0.858250, Average Loss  0.866827, Time  0.443079
2021-09-25 18:53:36.515486 : Epoch 10, Batch    615, Loss  0.869004, Average Loss  0.869013, Time  0.444603
2021-09-25 18:53:40.597570 : Epoch 10, Batch    276, Loss  0.874292, Average Loss  0.866860, Time  0.442514
2021-09-25 18:53:42.318690 : Epoch 10, Batch    616, Loss  0.885515, Average Loss  0.869102, Time  0.444405
2021-09-25 18:53:46.348744 : Epoch 10, Batch    277, Loss  0.869558, Average Loss  0.866794, Time  0.452077
2021-09-25 18:53:48.151661 : Epoch 10, Batch    617, Loss  0.866578, Average Loss  0.869115, Time  0.456520
2021-09-25 18:53:52.099609 : Epoch 10, Batch    278, Loss  0.859533, Average Loss  0.866864, Time  0.442542
2021-09-25 18:53:53.949552 : Epoch 10, Batch    618, Loss  0.877419, Average Loss  0.869139, Time  0.444174
2021-09-25 18:53:57.945062 : Epoch 10, Batch    279, Loss  0.865165, Average Loss  0.866906, Time  0.444869
2021-09-25 18:53:59.845645 : Epoch 10, Batch    619, Loss  0.873320, Average Loss  0.869146, Time  0.443392
2021-09-25 18:54:03.742460 : Epoch 10, Batch    280, Loss  0.874151, Average Loss  0.866866, Time  0.442952
2021-09-25 18:54:05.638505 : Epoch 10, Batch    620, Loss  0.866194, Average Loss  0.869116, Time  0.443933
2021-09-25 18:54:09.483921 : Epoch 10, Batch    281, Loss  0.865701, Average Loss  0.866896, Time  0.443270
2021-09-25 18:54:11.390087 : Epoch 10, Batch    621, Loss  0.857353, Average Loss  0.869042, Time  0.442096
2021-09-25 18:54:15.277499 : Epoch 10, Batch    282, Loss  0.877931, Average Loss  0.866942, Time  0.443057
2021-09-25 18:54:17.287701 : Epoch 10, Batch    622, Loss  0.864972, Average Loss  0.869058, Time  0.445021
2021-09-25 18:54:21.063591 : Epoch 10, Batch    283, Loss  0.874240, Average Loss  0.866987, Time  0.443556
2021-09-25 18:54:23.095617 : Epoch 10, Batch    623, Loss  0.853108, Average Loss  0.869001, Time  0.445480
2021-09-25 18:54:26.929567 : Epoch 10, Batch    284, Loss  0.858952, Average Loss  0.866903, Time  0.468978
2021-09-25 18:54:29.067703 : Epoch 10, Batch    624, Loss  0.866174, Average Loss  0.868934, Time  0.444613
2021-09-25 18:54:32.788858 : Epoch 10, Batch    285, Loss  0.839209, Average Loss  0.866839, Time  0.451184
2021-09-25 18:54:34.922332 : Epoch 10, Batch    625, Loss  0.856205, Average Loss  0.868877, Time  0.457529
2021-09-25 18:54:38.525327 : Epoch 10, Batch    286, Loss  0.853642, Average Loss  0.866834, Time  0.444323
2021-09-25 18:54:40.784808 : Epoch 10, Batch    626, Loss  0.870360, Average Loss  0.868905, Time  0.443128
2021-09-25 18:54:44.275288 : Epoch 10, Batch    287, Loss  0.863714, Average Loss  0.866732, Time  0.444447
2021-09-25 18:54:46.602673 : Epoch 10, Batch    627, Loss  0.858345, Average Loss  0.868752, Time  0.444242
2021-09-25 18:54:50.071013 : Epoch 10, Batch    288, Loss  0.877580, Average Loss  0.866784, Time  0.444787
2021-09-25 18:54:52.422433 : Epoch 10, Batch    628, Loss  0.867949, Average Loss  0.868746, Time  0.443909
2021-09-25 18:54:55.833249 : Epoch 10, Batch    289, Loss  0.851056, Average Loss  0.866749, Time  0.443301
2021-09-25 18:54:58.260861 : Epoch 10, Batch    629, Loss  0.882704, Average Loss  0.868797, Time  0.443498
2021-09-25 18:55:01.583665 : Epoch 10, Batch    290, Loss  0.859054, Average Loss  0.866668, Time  0.442718
2021-09-25 18:55:04.078244 : Epoch 10, Batch    630, Loss  0.861297, Average Loss  0.868747, Time  0.445200
2021-09-25 18:55:07.351413 : Epoch 10, Batch    291, Loss  0.870819, Average Loss  0.866699, Time  0.442692
2021-09-25 18:55:09.882904 : Epoch 10, Batch    631, Loss  0.873686, Average Loss  0.868672, Time  0.443677
2021-09-25 18:55:13.108407 : Epoch 10, Batch    292, Loss  0.855189, Average Loss  0.866624, Time  0.442142
2021-09-25 18:55:15.685727 : Epoch 10, Batch    632, Loss  0.861753, Average Loss  0.868719, Time  0.442865
2021-09-25 18:55:18.923375 : Epoch 10, Batch    293, Loss  0.867154, Average Loss  0.866613, Time  0.449624
2021-09-25 18:55:21.547223 : Epoch 10, Batch    633, Loss  0.860593, Average Loss  0.868693, Time  0.457182
2021-09-25 18:55:24.653224 : Epoch 10, Batch    294, Loss  0.877198, Average Loss  0.866631, Time  0.442749
2021-09-25 18:55:27.347368 : Epoch 10, Batch    634, Loss  0.835627, Average Loss  0.868505, Time  0.446158
2021-09-25 18:55:30.512894 : Epoch 10, Batch    295, Loss  0.874899, Average Loss  0.866656, Time  0.444162
2021-09-25 18:55:33.269982 : Epoch 10, Batch    635, Loss  0.864166, Average Loss  0.868553, Time  0.444299
2021-09-25 18:55:36.285243 : Epoch 10, Batch    296, Loss  0.851524, Average Loss  0.866540, Time  0.443793
2021-09-25 18:55:39.104038 : Epoch 10, Batch    636, Loss  0.863477, Average Loss  0.868510, Time  0.443991
2021-09-25 18:55:42.096106 : Epoch 10, Batch    297, Loss  0.881362, Average Loss  0.866667, Time  0.444891
2021-09-25 18:55:44.933027 : Epoch 10, Batch    637, Loss  0.858721, Average Loss  0.868550, Time  0.443913
2021-09-25 18:55:47.850649 : Epoch 10, Batch    298, Loss  0.858455, Average Loss  0.866673, Time  0.445526
2021-09-25 18:55:50.761771 : Epoch 10, Batch    638, Loss  0.873411, Average Loss  0.868553, Time  0.446095
2021-09-25 18:55:53.560413 : Epoch 10, Batch    299, Loss  0.857623, Average Loss  0.866609, Time  0.442558
2021-09-25 18:55:56.529852 : Epoch 10, Batch    639, Loss  0.860614, Average Loss  0.868399, Time  0.444405
2021-09-25 18:55:59.342798 : Epoch 10, Batch    300, Loss  0.865072, Average Loss  0.866624, Time  0.443277
2021-09-25 18:56:02.387109 : Epoch 10, Batch    640, Loss  0.860167, Average Loss  0.868460, Time  0.442965
2021-09-25 18:56:05.134277 : Epoch 10, Batch    301, Loss  0.864126, Average Loss  0.866571, Time  0.457070
2021-09-25 18:56:08.228800 : Epoch 10, Batch    641, Loss  0.858968, Average Loss  0.868401, Time  0.454954
2021-09-25 18:56:10.897244 : Epoch 10, Batch    302, Loss  0.873169, Average Loss  0.866661, Time  0.442882
2021-09-25 18:56:14.006454 : Epoch 10, Batch    642, Loss  0.873659, Average Loss  0.868487, Time  0.443409
2021-09-25 18:56:16.608498 : Epoch 10, Batch    303, Loss  0.853419, Average Loss  0.866643, Time  0.442802
2021-09-25 18:56:19.823591 : Epoch 10, Batch    643, Loss  0.868494, Average Loss  0.868533, Time  0.444443
2021-09-25 18:56:22.403159 : Epoch 10, Batch    304, Loss  0.860297, Average Loss  0.866596, Time  0.442920
2021-09-25 18:56:25.690430 : Epoch 10, Batch    644, Loss  0.887294, Average Loss  0.868666, Time  0.443683
2021-09-25 18:56:28.154293 : Epoch 10, Batch    305, Loss  0.865752, Average Loss  0.866591, Time  0.442471
2021-09-25 18:56:31.474395 : Epoch 10, Batch    645, Loss  0.858644, Average Loss  0.868567, Time  0.444875
2021-09-25 18:56:33.870150 : Epoch 10, Batch    306, Loss  0.865421, Average Loss  0.866633, Time  0.441723
2021-09-25 18:56:37.218376 : Epoch 10, Batch    646, Loss  0.868380, Average Loss  0.868540, Time  0.443064
2021-09-25 18:56:39.567376 : Epoch 10, Batch    307, Loss  0.861901, Average Loss  0.866657, Time  0.443859
2021-09-25 18:56:43.162464 : Epoch 10, Batch    647, Loss  0.877153, Average Loss  0.868552, Time  0.444740
2021-09-25 18:56:45.637663 : Epoch 10, Batch    308, Loss  0.845030, Average Loss  0.866502, Time  0.446712
2021-09-25 18:56:51.671928 : Epoch 10, Batch    309, Loss  0.860537, Average Loss  0.866424, Time  0.455858
2021-09-25 18:56:54.724637 : Epoch 10, Batch    648, Loss  0.861273, Average Loss  0.868413, Time  0.452443
2021-09-25 18:56:57.702838 : Epoch 10, Batch    310, Loss  0.858621, Average Loss  0.866397, Time  0.447757
2021-09-25 18:57:03.714522 : Epoch 10, Batch    311, Loss  0.852061, Average Loss  0.866343, Time  0.444033
2021-09-25 18:57:09.711601 : Epoch 10, Batch    312, Loss  0.877475, Average Loss  0.866410, Time  0.443358
2021-09-25 18:57:15.703713 : Epoch 10, Batch    313, Loss  0.846147, Average Loss  0.866293, Time  0.443960
2021-09-25 18:57:21.711856 : Epoch 10, Batch    314, Loss  0.864432, Average Loss  0.866288, Time  0.443727
2021-09-25 18:57:27.791993 : Epoch 10, Batch    315, Loss  0.857111, Average Loss  0.866163, Time  0.442779
2021-09-25 18:57:33.823500 : Epoch 10, Batch    316, Loss  0.871687, Average Loss  0.866177, Time  0.460845
2021-09-25 18:57:39.822819 : Epoch 10, Batch    317, Loss  0.852484, Average Loss  0.866154, Time  0.444215
2021-09-25 18:57:45.560736 : Epoch 10, Batch    318, Loss  0.873733, Average Loss  0.866174, Time  0.443948
2021-09-25 18:57:51.219694 : Epoch 10, Batch    319, Loss  0.874813, Average Loss  0.866193, Time  0.441935
2021-09-25 18:57:56.971054 : Epoch 10, Batch    320, Loss  0.879728, Average Loss  0.866206, Time  0.442316
2021-09-25 18:58:02.666607 : Epoch 10, Batch    321, Loss  0.873802, Average Loss  0.866220, Time  0.442277
2021-09-25 18:58:08.334896 : Epoch 10, Batch    322, Loss  0.864005, Average Loss  0.866234, Time  0.441819
2021-09-25 18:58:13.985372 : Epoch 10, Batch    323, Loss  0.880573, Average Loss  0.866243, Time  0.442551
2021-09-25 18:58:19.637335 : Epoch 10, Batch    324, Loss  0.873864, Average Loss  0.866292, Time  0.441441
2021-09-25 18:58:25.272731 : Epoch 10, Batch    325, Loss  0.857442, Average Loss  0.866171, Time  0.447066
2021-09-25 18:58:30.972811 : Epoch 10, Batch    326, Loss  0.862725, Average Loss  0.866186, Time  0.442044
2021-09-25 18:58:36.688152 : Epoch 10, Batch    327, Loss  0.867131, Average Loss  0.866127, Time  0.442342
2021-09-25 18:58:42.348125 : Epoch 10, Batch    328, Loss  0.862462, Average Loss  0.866063, Time  0.442897
2021-09-25 18:58:48.203087 : Epoch 10, Batch    329, Loss  0.861999, Average Loss  0.866064, Time  0.445124
2021-09-25 18:58:53.851716 : Epoch 10, Batch    330, Loss  0.872045, Average Loss  0.866079, Time  0.440850
2021-09-25 18:58:59.424255 : Epoch 10, Batch    331, Loss  0.854918, Average Loss  0.866011, Time  0.441210
2021-09-25 18:59:05.080023 : Epoch 10, Batch    332, Loss  0.871026, Average Loss  0.865931, Time  0.443041
2021-09-25 18:59:10.823883 : Epoch 10, Batch    333, Loss  0.868583, Average Loss  0.865959, Time  0.455775
2021-09-25 18:59:16.531730 : Epoch 10, Batch    334, Loss  0.864596, Average Loss  0.865899, Time  0.443051
2021-09-25 18:59:22.195966 : Epoch 10, Batch    335, Loss  0.862834, Average Loss  0.865883, Time  0.441988
2021-09-25 18:59:27.829246 : Epoch 10, Batch    336, Loss  0.856339, Average Loss  0.865820, Time  0.441843
2021-09-25 18:59:33.481935 : Epoch 10, Batch    337, Loss  0.871175, Average Loss  0.865842, Time  0.442418
2021-09-25 18:59:39.165475 : Epoch 10, Batch    338, Loss  0.842498, Average Loss  0.865700, Time  0.442498
2021-09-25 18:59:44.858647 : Epoch 10, Batch    339, Loss  0.859892, Average Loss  0.865678, Time  0.442276
2021-09-25 18:59:50.733834 : Epoch 10, Batch    340, Loss  0.862744, Average Loss  0.865628, Time  0.444387
2021-09-25 18:59:56.775049 : Epoch 10, Batch    341, Loss  0.880364, Average Loss  0.865648, Time  0.458590
2021-09-25 19:00:02.811725 : Epoch 10, Batch    342, Loss  0.862707, Average Loss  0.865685, Time  0.446201
2021-09-25 19:00:08.833457 : Epoch 10, Batch    343, Loss  0.847001, Average Loss  0.865609, Time  0.445331
2021-09-25 19:00:14.878162 : Epoch 10, Batch    344, Loss  0.857017, Average Loss  0.865509, Time  0.444096
2021-09-25 19:00:20.904801 : Epoch 10, Batch    345, Loss  0.863413, Average Loss  0.865466, Time  0.444483
2021-09-25 19:00:26.926109 : Epoch 10, Batch    346, Loss  0.859555, Average Loss  0.865471, Time  0.445348
2021-09-25 19:00:32.964539 : Epoch 10, Batch    347, Loss  0.859003, Average Loss  0.865315, Time  0.448924
2021-09-25 19:00:39.012103 : Epoch 10, Batch    348, Loss  0.840985, Average Loss  0.865156, Time  0.461415
2021-09-25 19:01:30.149048 : CheckPoint: Validation Loss  0.00014988, Best Loss  0.00014749
2021-09-25 19:01:36.214952 : Epoch 10, Batch    649, Loss  0.868880, Average Loss  0.868341, Time  0.460878
2021-09-25 19:01:42.257491 : Epoch 10, Batch    650, Loss  0.857525, Average Loss  0.868261, Time  0.444914
2021-09-25 19:01:48.304141 : Epoch 10, Batch    651, Loss  0.867038, Average Loss  0.868271, Time  0.445797
2021-09-25 19:01:54.331879 : Epoch 10, Batch    652, Loss  0.874212, Average Loss  0.868394, Time  0.447340
2021-09-25 19:02:00.382846 : Epoch 10, Batch    653, Loss  0.880193, Average Loss  0.868479, Time  0.444564
2021-09-25 19:02:06.441169 : Epoch 10, Batch    654, Loss  0.855530, Average Loss  0.868418, Time  0.445387
2021-09-25 19:02:12.481058 : Epoch 10, Batch    655, Loss  0.865211, Average Loss  0.868405, Time  0.444789
2021-09-25 19:02:18.546025 : Epoch 10, Batch    656, Loss  0.866953, Average Loss  0.868398, Time  0.457872
2021-09-25 19:02:24.587843 : Epoch 10, Batch    657, Loss  0.853439, Average Loss  0.868262, Time  0.446354
2021-09-25 19:02:30.633655 : Epoch 10, Batch    658, Loss  0.861218, Average Loss  0.868190, Time  0.446554
2021-09-25 19:02:36.680983 : Epoch 10, Batch    659, Loss  0.867223, Average Loss  0.868157, Time  0.445179
2021-09-25 19:02:42.727868 : Epoch 10, Batch    660, Loss  0.885283, Average Loss  0.868286, Time  0.445838
2021-09-25 19:02:48.783555 : Epoch 10, Batch    661, Loss  0.873844, Average Loss  0.868288, Time  0.444852
2021-09-25 19:02:54.847168 : Epoch 10, Batch    662, Loss  0.864321, Average Loss  0.868278, Time  0.445467
2021-09-25 19:03:00.901016 : Epoch 10, Batch    663, Loss  0.858634, Average Loss  0.868321, Time  0.447175
2021-09-25 19:03:06.960102 : Epoch 10, Batch    664, Loss  0.880886, Average Loss  0.868456, Time  0.462547
2021-09-25 19:03:13.010974 : Epoch 10, Batch    665, Loss  0.863149, Average Loss  0.868455, Time  0.444563
2021-09-25 19:03:19.069169 : Epoch 10, Batch    666, Loss  0.859458, Average Loss  0.868398, Time  0.445107
2021-09-25 19:03:25.116843 : Epoch 10, Batch    667, Loss  0.872200, Average Loss  0.868476, Time  0.447220
2021-09-25 19:03:31.164746 : Epoch 10, Batch    668, Loss  0.865938, Average Loss  0.868414, Time  0.444920
2021-09-25 19:03:37.232732 : Epoch 10, Batch    669, Loss  0.854493, Average Loss  0.868366, Time  0.454175
2021-09-25 19:03:43.289165 : Epoch 10, Batch    670, Loss  0.875030, Average Loss  0.868392, Time  0.445133
2021-09-25 19:03:49.346095 : Epoch 10, Batch    671, Loss  0.864303, Average Loss  0.868369, Time  0.460134
2021-09-25 19:03:55.393691 : Epoch 10, Batch    672, Loss  0.873906, Average Loss  0.868399, Time  0.444507
2021-09-25 19:04:01.440885 : Epoch 10, Batch    673, Loss  0.871491, Average Loss  0.868443, Time  0.447366
2021-09-25 19:04:07.505852 : Epoch 10, Batch    674, Loss  0.868245, Average Loss  0.868452, Time  0.444442
2021-09-25 19:04:13.550797 : Epoch 10, Batch    675, Loss  0.873410, Average Loss  0.868480, Time  0.445528
2021-09-25 19:04:19.586923 : Epoch 10, Batch    676, Loss  0.874948, Average Loss  0.868506, Time  0.446829
2021-09-25 19:04:25.646362 : Epoch 10, Batch    677, Loss  0.878943, Average Loss  0.868478, Time  0.450602
2021-09-25 19:04:31.709369 : Epoch 10, Batch    678, Loss  0.875659, Average Loss  0.868514, Time  0.445422
2021-09-25 19:04:37.771182 : Epoch 10, Batch    679, Loss  0.872088, Average Loss  0.868548, Time  0.457123
2021-09-25 19:04:43.827211 : Epoch 10, Batch    680, Loss  0.877798, Average Loss  0.868574, Time  0.448575
2021-09-25 19:04:49.882658 : Epoch 10, Batch    681, Loss  0.885340, Average Loss  0.868709, Time  0.444585
2021-09-25 19:04:55.945051 : Epoch 10, Batch    682, Loss  0.878894, Average Loss  0.868697, Time  0.445686
2021-09-25 19:05:01.988602 : Epoch 10, Batch    683, Loss  0.870609, Average Loss  0.868767, Time  0.447086
2021-09-25 19:05:08.048106 : Epoch 10, Batch    684, Loss  0.862019, Average Loss  0.868668, Time  0.447518
2021-09-25 19:05:14.086354 : Epoch 10, Batch    685, Loss  0.858624, Average Loss  0.868662, Time  0.444608
2021-09-25 19:05:20.157785 : Epoch 10, Batch    686, Loss  0.854478, Average Loss  0.868553, Time  0.459894
2021-09-25 19:05:24.985665 : CheckPoint: Validation Loss  0.00014721, Best Loss  0.00014721
2021-09-25 19:05:25.019277 : Best Model Updated
2021-09-25 19:05:26.206811 : Epoch 10, Batch    687, Loss  0.866202, Average Loss  0.868483, Time  0.445479
2021-09-25 19:05:31.792628 : Epoch 10, Batch    349, Loss  0.861000, Average Loss  0.865149, Time  0.443961
2021-09-25 19:05:32.259457 : Epoch 10, Batch    688, Loss  0.871467, Average Loss  0.868482, Time  0.449694
2021-09-25 19:05:37.774436 : Epoch 10, Batch    350, Loss  0.874621, Average Loss  0.865158, Time  0.443512
2021-09-25 19:05:38.305747 : Epoch 10, Batch    689, Loss  0.869322, Average Loss  0.868473, Time  0.445156
2021-09-25 19:05:43.771990 : Epoch 10, Batch    351, Loss  0.864906, Average Loss  0.865192, Time  0.444086
2021-09-25 19:05:44.356666 : Epoch 10, Batch    690, Loss  0.852104, Average Loss  0.868447, Time  0.448201
2021-09-25 19:05:49.765103 : Epoch 10, Batch    352, Loss  0.865056, Average Loss  0.865236, Time  0.445119
2021-09-25 19:05:50.408365 : Epoch 10, Batch    691, Loss  0.855952, Average Loss  0.868384, Time  0.447647
2021-09-25 19:05:55.776751 : Epoch 10, Batch    353, Loss  0.884003, Average Loss  0.865362, Time  0.443901
2021-09-25 19:05:56.439242 : Epoch 10, Batch    692, Loss  0.871979, Average Loss  0.868371, Time  0.445090
2021-09-25 19:06:01.784306 : Epoch 10, Batch    354, Loss  0.856338, Average Loss  0.865252, Time  0.457588
2021-09-25 19:06:02.486492 : Epoch 10, Batch    693, Loss  0.881863, Average Loss  0.868458, Time  0.447471
2021-09-25 19:06:07.782759 : Epoch 10, Batch    355, Loss  0.857792, Average Loss  0.865217, Time  0.444216
2021-09-25 19:06:08.534876 : Epoch 10, Batch    694, Loss  0.854290, Average Loss  0.868380, Time  0.455326
2021-09-25 19:06:13.771085 : Epoch 10, Batch    356, Loss  0.850484, Average Loss  0.865157, Time  0.445192
2021-09-25 19:06:14.593786 : Epoch 10, Batch    695, Loss  0.865670, Average Loss  0.868370, Time  0.444162
2021-09-25 19:06:19.758131 : Epoch 10, Batch    357, Loss  0.846004, Average Loss  0.865008, Time  0.447368
2021-09-25 19:06:20.635331 : Epoch 10, Batch    696, Loss  0.866880, Average Loss  0.868371, Time  0.445250
2021-09-25 19:06:25.759895 : Epoch 10, Batch    358, Loss  0.868973, Average Loss  0.865049, Time  0.444911
2021-09-25 19:06:26.671550 : Epoch 10, Batch    697, Loss  0.878585, Average Loss  0.868506, Time  0.445846
2021-09-25 19:06:31.758076 : Epoch 10, Batch    359, Loss  0.851476, Average Loss  0.864990, Time  0.444111
2021-09-25 19:06:32.707512 : Epoch 10, Batch    698, Loss  0.879144, Average Loss  0.868568, Time  0.448822
2021-09-25 19:06:37.759837 : Epoch 10, Batch    360, Loss  0.861409, Average Loss  0.864924, Time  0.444789
2021-09-25 19:06:38.790138 : Epoch 10, Batch    699, Loss  0.869983, Average Loss  0.868507, Time  0.450896
2021-09-25 19:06:43.733169 : Epoch 10, Batch    361, Loss  0.865375, Average Loss  0.864921, Time  0.443884
2021-09-25 19:06:44.814646 : Epoch 10, Batch    700, Loss  0.861840, Average Loss  0.868463, Time  0.445451
2021-09-25 19:06:49.728507 : Epoch 10, Batch    362, Loss  0.878255, Average Loss  0.864939, Time  0.457525
2021-09-25 19:06:50.865239 : Epoch 10, Batch    701, Loss  0.870319, Average Loss  0.868545, Time  0.457408
2021-09-25 19:06:55.746838 : Epoch 10, Batch    363, Loss  0.850831, Average Loss  0.864797, Time  0.445423
2021-09-25 19:06:56.911637 : Epoch 10, Batch    702, Loss  0.869839, Average Loss  0.868570, Time  0.445496
2021-09-25 19:07:01.726961 : Epoch 10, Batch    364, Loss  0.856767, Average Loss  0.864715, Time  0.444556
2021-09-25 19:07:02.965163 : Epoch 10, Batch    703, Loss  0.862515, Average Loss  0.868545, Time  0.450245
2021-09-25 19:07:07.719188 : Epoch 10, Batch    365, Loss  0.854982, Average Loss  0.864722, Time  0.444455
2021-09-25 19:07:09.001994 : Epoch 10, Batch    704, Loss  0.882687, Average Loss  0.868558, Time  0.444648
2021-09-25 19:07:13.706206 : Epoch 10, Batch    366, Loss  0.872407, Average Loss  0.864812, Time  0.444556
2021-09-25 19:07:15.037446 : Epoch 10, Batch    705, Loss  0.864849, Average Loss  0.868581, Time  0.444971
2021-09-25 19:07:19.683684 : Epoch 10, Batch    367, Loss  0.860215, Average Loss  0.864820, Time  0.443290
2021-09-25 19:07:21.056285 : Epoch 10, Batch    706, Loss  0.856542, Average Loss  0.868457, Time  0.445207
2021-09-25 19:07:25.727775 : Epoch 10, Batch    368, Loss  0.878991, Average Loss  0.864792, Time  0.444247
2021-09-25 19:07:27.099833 : Epoch 10, Batch    707, Loss  0.852626, Average Loss  0.868392, Time  0.446208
2021-09-25 19:07:31.721295 : Epoch 10, Batch    369, Loss  0.865974, Average Loss  0.864809, Time  0.456277
2021-09-25 19:07:33.135100 : Epoch 10, Batch    708, Loss  0.851980, Average Loss  0.868278, Time  0.445294
2021-09-25 19:07:37.727981 : Epoch 10, Batch    370, Loss  0.853165, Average Loss  0.864697, Time  0.445853
2021-09-25 19:07:39.188911 : Epoch 10, Batch    709, Loss  0.863809, Average Loss  0.868228, Time  0.461487
2021-09-25 19:07:43.737994 : Epoch 10, Batch    371, Loss  0.864486, Average Loss  0.864701, Time  0.446054
2021-09-25 19:07:45.248010 : Epoch 10, Batch    710, Loss  0.875024, Average Loss  0.868240, Time  0.447763
2021-09-25 19:07:49.738067 : Epoch 10, Batch    372, Loss  0.857211, Average Loss  0.864655, Time  0.446419
2021-09-25 19:07:51.300139 : Epoch 10, Batch    711, Loss  0.881669, Average Loss  0.868374, Time  0.449108
2021-09-25 19:07:55.730974 : Epoch 10, Batch    373, Loss  0.873289, Average Loss  0.864663, Time  0.447710
2021-09-25 19:07:57.343977 : Epoch 10, Batch    712, Loss  0.872692, Average Loss  0.868389, Time  0.444943
2021-09-25 19:08:01.753269 : Epoch 10, Batch    374, Loss  0.855174, Average Loss  0.864602, Time  0.443905
2021-09-25 19:08:03.400842 : Epoch 10, Batch    713, Loss  0.881864, Average Loss  0.868465, Time  0.446840
2021-09-25 19:08:07.738226 : Epoch 10, Batch    375, Loss  0.859872, Average Loss  0.864547, Time  0.444301
2021-09-25 19:08:09.451976 : Epoch 10, Batch    714, Loss  0.866551, Average Loss  0.868386, Time  0.448290
2021-09-25 19:08:13.736275 : Epoch 10, Batch    376, Loss  0.866531, Average Loss  0.864567, Time  0.446296
2021-09-25 19:08:15.495783 : Epoch 10, Batch    715, Loss  0.864024, Average Loss  0.868328, Time  0.446692
2021-09-25 19:08:19.724974 : Epoch 10, Batch    377, Loss  0.853642, Average Loss  0.864528, Time  0.454753
2021-09-25 19:08:21.547534 : Epoch 10, Batch    716, Loss  0.867555, Average Loss  0.868331, Time  0.456836
2021-09-25 19:08:25.712479 : Epoch 10, Batch    378, Loss  0.864562, Average Loss  0.864491, Time  0.448656
2021-09-25 19:08:27.601210 : Epoch 10, Batch    717, Loss  0.868559, Average Loss  0.868302, Time  0.446411
2021-09-25 19:08:31.701922 : Epoch 10, Batch    379, Loss  0.861550, Average Loss  0.864435, Time  0.445292
2021-09-25 19:08:33.653751 : Epoch 10, Batch    718, Loss  0.875773, Average Loss  0.868341, Time  0.446393
2021-09-25 19:08:37.693443 : Epoch 10, Batch    380, Loss  0.878295, Average Loss  0.864375, Time  0.447137
2021-09-25 19:08:39.700509 : Epoch 10, Batch    719, Loss  0.870977, Average Loss  0.868351, Time  0.444801
2021-09-25 19:08:43.681864 : Epoch 10, Batch    381, Loss  0.883240, Average Loss  0.864498, Time  0.446205
2021-09-25 19:08:45.769910 : Epoch 10, Batch    720, Loss  0.867931, Average Loss  0.868338, Time  0.445153
2021-09-25 19:08:49.661765 : Epoch 10, Batch    382, Loss  0.858725, Average Loss  0.864517, Time  0.443966
2021-09-25 19:08:51.824379 : Epoch 10, Batch    721, Loss  0.877850, Average Loss  0.868332, Time  0.444639
2021-09-25 19:08:55.650817 : Epoch 10, Batch    383, Loss  0.854316, Average Loss  0.864484, Time  0.444028
2021-09-25 19:08:57.868012 : Epoch 10, Batch    722, Loss  0.851948, Average Loss  0.868290, Time  0.445983
2021-09-25 19:09:01.660738 : Epoch 10, Batch    384, Loss  0.857454, Average Loss  0.864448, Time  0.452989
2021-09-25 19:09:03.908069 : Epoch 10, Batch    723, Loss  0.858289, Average Loss  0.868143, Time  0.446014
2021-09-25 19:09:07.641239 : Epoch 10, Batch    385, Loss  0.851786, Average Loss  0.864340, Time  0.445254
2021-09-25 19:09:09.977783 : Epoch 10, Batch    724, Loss  0.866590, Average Loss  0.868064, Time  0.459217
2021-09-25 19:09:13.635226 : Epoch 10, Batch    386, Loss  0.869845, Average Loss  0.864356, Time  0.450073
2021-09-25 19:09:16.020831 : Epoch 10, Batch    725, Loss  0.888513, Average Loss  0.868131, Time  0.444968
2021-09-25 19:09:19.621196 : Epoch 10, Batch    387, Loss  0.855986, Average Loss  0.864221, Time  0.443653
2021-09-25 19:09:22.082929 : Epoch 10, Batch    726, Loss  0.893386, Average Loss  0.868315, Time  0.445519
2021-09-25 19:09:25.607184 : Epoch 10, Batch    388, Loss  0.863642, Average Loss  0.864205, Time  0.444969
2021-09-25 19:09:28.142525 : Epoch 10, Batch    727, Loss  0.880993, Average Loss  0.868386, Time  0.444176
2021-09-25 19:09:31.619735 : Epoch 10, Batch    389, Loss  0.871359, Average Loss  0.864245, Time  0.444516
2021-09-25 19:09:34.181150 : Epoch 10, Batch    728, Loss  0.878117, Average Loss  0.868321, Time  0.446437
2021-09-25 19:09:37.630832 : Epoch 10, Batch    390, Loss  0.848424, Average Loss  0.864112, Time  0.447707
2021-09-25 19:09:40.242707 : Epoch 10, Batch    729, Loss  0.871993, Average Loss  0.868337, Time  0.445241
2021-09-25 19:09:43.628797 : Epoch 10, Batch    391, Loss  0.853425, Average Loss  0.864089, Time  0.443903
2021-09-25 19:09:46.282196 : Epoch 10, Batch    730, Loss  0.872073, Average Loss  0.868318, Time  0.444061
2021-09-25 19:09:49.634761 : Epoch 10, Batch    392, Loss  0.859307, Average Loss  0.864073, Time  0.452192
2021-09-25 19:09:52.343938 : Epoch 10, Batch    731, Loss  0.867009, Average Loss  0.868275, Time  0.455538
2021-09-25 19:09:55.629111 : Epoch 10, Batch    393, Loss  0.849826, Average Loss  0.864025, Time  0.445076
2021-09-25 19:09:58.401422 : Epoch 10, Batch    732, Loss  0.865675, Average Loss  0.868268, Time  0.445202
2021-09-25 19:10:01.609697 : Epoch 10, Batch    394, Loss  0.864386, Average Loss  0.863983, Time  0.445156
2021-09-25 19:10:04.452232 : Epoch 10, Batch    733, Loss  0.868411, Average Loss  0.868282, Time  0.445364
2021-09-25 19:10:07.610922 : Epoch 10, Batch    395, Loss  0.867699, Average Loss  0.863935, Time  0.446002
2021-09-25 19:10:10.505176 : Epoch 10, Batch    734, Loss  0.872015, Average Loss  0.868280, Time  0.446054
2021-09-25 19:10:13.589744 : Epoch 10, Batch    396, Loss  0.853020, Average Loss  0.863890, Time  0.444170
2021-09-25 19:10:16.559368 : Epoch 10, Batch    735, Loss  0.889738, Average Loss  0.868386, Time  0.447960
2021-09-25 19:10:19.582125 : Epoch 10, Batch    397, Loss  0.856968, Average Loss  0.863848, Time  0.444657
2021-09-25 19:10:22.599871 : Epoch 10, Batch    736, Loss  0.877170, Average Loss  0.868453, Time  0.445046
2021-09-25 19:10:25.603680 : Epoch 10, Batch    398, Loss  0.852980, Average Loss  0.863808, Time  0.445464
2021-09-25 19:10:28.664106 : Epoch 10, Batch    737, Loss  0.857866, Average Loss  0.868456, Time  0.446777
2021-09-25 19:10:31.631879 : Epoch 10, Batch    399, Loss  0.868109, Average Loss  0.863807, Time  0.461154
2021-09-25 19:10:34.714432 : Epoch 10, Batch    738, Loss  0.866739, Average Loss  0.868465, Time  0.444807
2021-09-25 19:10:37.650774 : Epoch 10, Batch    400, Loss  0.850127, Average Loss  0.863681, Time  0.444494
2021-09-25 19:10:40.778252 : Epoch 10, Batch    739, Loss  0.858701, Average Loss  0.868397, Time  0.455849
2021-09-25 19:10:43.679935 : Epoch 10, Batch    401, Loss  0.866659, Average Loss  0.863713, Time  0.451017
2021-09-25 19:10:46.845287 : Epoch 10, Batch    740, Loss  0.868405, Average Loss  0.868449, Time  0.445585
2021-09-25 19:10:49.663503 : Epoch 10, Batch    402, Loss  0.859289, Average Loss  0.863725, Time  0.445033
2021-09-25 19:10:52.894430 : Epoch 10, Batch    741, Loss  0.883855, Average Loss  0.868572, Time  0.445767
2021-09-25 19:10:55.664611 : Epoch 10, Batch    403, Loss  0.853200, Average Loss  0.863614, Time  0.444283
2021-09-25 19:10:58.942894 : Epoch 10, Batch    742, Loss  0.868370, Average Loss  0.868562, Time  0.444739
2021-09-25 19:11:01.667758 : Epoch 10, Batch    404, Loss  0.863494, Average Loss  0.863588, Time  0.451390
2021-09-25 19:11:05.002850 : Epoch 10, Batch    743, Loss  0.873338, Average Loss  0.868493, Time  0.444686
2021-09-25 19:11:07.663470 : Epoch 10, Batch    405, Loss  0.868920, Average Loss  0.863635, Time  0.446831
2021-09-25 19:11:11.061707 : Epoch 10, Batch    744, Loss  0.855883, Average Loss  0.868434, Time  0.445167
2021-09-25 19:11:13.652600 : Epoch 10, Batch    406, Loss  0.858445, Average Loss  0.863607, Time  0.445470
2021-09-25 19:11:17.102850 : Epoch 10, Batch    745, Loss  0.864897, Average Loss  0.868508, Time  0.446539
2021-09-25 19:11:19.667579 : Epoch 10, Batch    407, Loss  0.866025, Average Loss  0.863548, Time  0.461902
2021-09-25 19:11:23.169869 : Epoch 10, Batch    746, Loss  0.889363, Average Loss  0.868591, Time  0.459164
2021-09-25 19:11:25.659196 : Epoch 10, Batch    408, Loss  0.842859, Average Loss  0.863399, Time  0.443997
2021-09-25 19:11:29.231840 : Epoch 10, Batch    747, Loss  0.872638, Average Loss  0.868572, Time  0.444933
2021-09-25 19:11:31.665311 : Epoch 10, Batch    409, Loss  0.848168, Average Loss  0.863306, Time  0.446384
2021-09-25 19:11:35.303087 : Epoch 10, Batch    748, Loss  0.865078, Average Loss  0.868587, Time  0.451618
2021-09-25 19:11:37.680445 : Epoch 10, Batch    410, Loss  0.859104, Average Loss  0.863292, Time  0.448225
2021-09-25 19:11:43.688894 : Epoch 10, Batch    411, Loss  0.860409, Average Loss  0.863229, Time  0.444483
2021-09-25 19:11:49.673248 : Epoch 10, Batch    412, Loss  0.868241, Average Loss  0.863249, Time  0.445573
2021-09-25 19:11:55.651156 : Epoch 10, Batch    413, Loss  0.847985, Average Loss  0.863136, Time  0.443598
2021-09-25 19:12:01.661602 : Epoch 10, Batch    414, Loss  0.849346, Average Loss  0.863034, Time  0.455813
2021-09-25 19:12:07.671790 : Epoch 10, Batch    415, Loss  0.841906, Average Loss  0.862980, Time  0.444531
2021-09-25 19:12:13.643746 : Epoch 10, Batch    416, Loss  0.873778, Average Loss  0.863011, Time  0.444303
2021-09-25 19:12:19.621912 : Epoch 10, Batch    417, Loss  0.850890, Average Loss  0.862941, Time  0.444127
2021-09-25 19:12:25.607326 : Epoch 10, Batch    418, Loss  0.876766, Average Loss  0.863107, Time  0.446713
2021-09-25 19:12:31.613068 : Epoch 10, Batch    419, Loss  0.862438, Average Loss  0.863127, Time  0.444920
2021-09-25 19:12:37.606580 : Epoch 10, Batch    420, Loss  0.843826, Average Loss  0.863030, Time  0.443753
2021-09-25 19:12:43.632826 : Epoch 10, Batch    421, Loss  0.871122, Average Loss  0.863015, Time  0.446002
2021-09-25 19:12:49.628365 : Epoch 10, Batch    422, Loss  0.866781, Average Loss  0.863088, Time  0.450451
2021-09-25 19:12:55.613621 : Epoch 10, Batch    423, Loss  0.856509, Average Loss  0.863056, Time  0.447788
2021-09-25 19:13:01.617462 : Epoch 10, Batch    424, Loss  0.863678, Average Loss  0.863033, Time  0.446880
2021-09-25 19:13:07.600490 : Epoch 10, Batch    425, Loss  0.866884, Average Loss  0.863052, Time  0.443728
2021-09-25 19:13:13.589403 : Epoch 10, Batch    426, Loss  0.861979, Average Loss  0.863085, Time  0.446578
2021-09-25 19:13:19.586732 : Epoch 10, Batch    427, Loss  0.866537, Average Loss  0.863071, Time  0.451419
2021-09-25 19:13:25.563879 : Epoch 10, Batch    428, Loss  0.852244, Average Loss  0.862963, Time  0.443889
2021-09-25 19:13:31.574439 : Epoch 10, Batch    429, Loss  0.861915, Average Loss  0.862932, Time  0.449720
2021-09-25 19:13:37.578675 : Epoch 10, Batch    430, Loss  0.858793, Average Loss  0.862829, Time  0.443632
2021-09-25 19:13:43.591761 : Epoch 10, Batch    431, Loss  0.862391, Average Loss  0.862817, Time  0.445587
2021-09-25 19:13:49.599468 : Epoch 10, Batch    432, Loss  0.866796, Average Loss  0.862756, Time  0.443823
2021-09-25 19:13:55.618775 : Epoch 10, Batch    433, Loss  0.850053, Average Loss  0.862688, Time  0.456091
2021-09-25 19:14:01.635310 : Epoch 10, Batch    434, Loss  0.851842, Average Loss  0.862566, Time  0.445788
2021-09-25 19:14:07.633091 : Epoch 10, Batch    435, Loss  0.856864, Average Loss  0.862505, Time  0.444468
2021-09-25 19:14:13.628952 : Epoch 10, Batch    436, Loss  0.853074, Average Loss  0.862453, Time  0.445284
2021-09-25 19:14:19.631906 : Epoch 10, Batch    437, Loss  0.845386, Average Loss  0.862371, Time  0.457594
2021-09-25 19:14:25.629989 : Epoch 10, Batch    438, Loss  0.860800, Average Loss  0.862359, Time  0.443925
2021-09-25 19:14:31.608946 : Epoch 10, Batch    439, Loss  0.848456, Average Loss  0.862267, Time  0.447344
2021-09-25 19:14:37.610941 : Epoch 10, Batch    440, Loss  0.845782, Average Loss  0.862133, Time  0.449404
2021-09-25 19:14:43.625715 : Epoch 10, Batch    441, Loss  0.859088, Average Loss  0.862094, Time  0.444788
2021-09-25 19:14:49.640864 : Epoch 10, Batch    442, Loss  0.857027, Average Loss  0.862055, Time  0.445113
2021-09-25 19:14:55.634081 : Epoch 10, Batch    443, Loss  0.865696, Average Loss  0.862023, Time  0.444328
2021-09-25 19:15:01.624899 : Epoch 10, Batch    444, Loss  0.868670, Average Loss  0.862082, Time  0.455447
2021-09-25 19:15:07.616825 : Epoch 10, Batch    445, Loss  0.865131, Average Loss  0.862046, Time  0.447009
2021-09-25 19:15:13.613237 : Epoch 10, Batch    446, Loss  0.852075, Average Loss  0.861892, Time  0.445959
2021-09-25 19:15:19.622644 : Epoch 10, Batch    447, Loss  0.858592, Average Loss  0.861833, Time  0.443821
2021-09-25 19:15:25.643940 : Epoch 10, Batch    448, Loss  0.838483, Average Loss  0.861718, Time  0.446480
2021-09-25 19:16:19.280812 : CheckPoint: Validation Loss  0.00014913, Best Loss  0.00014749
2021-09-25 19:16:25.368404 : Epoch 10, Batch    749, Loss  0.877884, Average Loss  0.868574, Time  0.446541
2021-09-25 19:16:31.429328 : Epoch 10, Batch    750, Loss  0.872961, Average Loss  0.868633, Time  0.447788
2021-09-25 19:16:37.482337 : Epoch 10, Batch    751, Loss  0.873542, Average Loss  0.868695, Time  0.445422
2021-09-25 19:16:43.561832 : Epoch 10, Batch    752, Loss  0.868456, Average Loss  0.868651, Time  0.459857
2021-09-25 19:16:49.632061 : Epoch 10, Batch    753, Loss  0.875695, Average Loss  0.868629, Time  0.444728
2021-09-25 19:16:55.688339 : Epoch 10, Batch    754, Loss  0.857372, Average Loss  0.868569, Time  0.445102
2021-09-25 19:17:01.750636 : Epoch 10, Batch    755, Loss  0.862940, Average Loss  0.868547, Time  0.447735
2021-09-25 19:17:07.814349 : Epoch 10, Batch    756, Loss  0.858594, Average Loss  0.868523, Time  0.446410
2021-09-25 19:17:13.876652 : Epoch 10, Batch    757, Loss  0.862347, Average Loss  0.868488, Time  0.454316
2021-09-25 19:17:19.919608 : Epoch 10, Batch    758, Loss  0.868501, Average Loss  0.868406, Time  0.445866
2021-09-25 19:17:25.989035 : Epoch 10, Batch    759, Loss  0.879930, Average Loss  0.868457, Time  0.454984
2021-09-25 19:17:32.063119 : Epoch 10, Batch    760, Loss  0.877624, Average Loss  0.868636, Time  0.458463
2021-09-25 19:17:38.111525 : Epoch 10, Batch    761, Loss  0.857386, Average Loss  0.868633, Time  0.444636
2021-09-25 19:17:44.147465 : Epoch 10, Batch    762, Loss  0.874601, Average Loss  0.868607, Time  0.444756
2021-09-25 19:17:50.183450 : Epoch 10, Batch    763, Loss  0.875263, Average Loss  0.868617, Time  0.444886
2021-09-25 19:17:56.221447 : Epoch 10, Batch    764, Loss  0.872854, Average Loss  0.868649, Time  0.444204
2021-09-25 19:18:02.282101 : Epoch 10, Batch    765, Loss  0.866191, Average Loss  0.868640, Time  0.446006
2021-09-25 19:18:08.341188 : Epoch 10, Batch    766, Loss  0.867766, Average Loss  0.868641, Time  0.446461
2021-09-25 19:18:14.420164 : Epoch 10, Batch    767, Loss  0.873019, Average Loss  0.868624, Time  0.462295
2021-09-25 19:18:20.482831 : Epoch 10, Batch    768, Loss  0.877108, Average Loss  0.868631, Time  0.446792
2021-09-25 19:18:26.529358 : Epoch 10, Batch    769, Loss  0.867437, Average Loss  0.868589, Time  0.444968
2021-09-25 19:18:32.579864 : Epoch 10, Batch    770, Loss  0.882189, Average Loss  0.868640, Time  0.449997
2021-09-25 19:18:38.623672 : Epoch 10, Batch    771, Loss  0.863592, Average Loss  0.868643, Time  0.444358
2021-09-25 19:18:44.666391 : Epoch 10, Batch    772, Loss  0.874090, Average Loss  0.868596, Time  0.444993
2021-09-25 19:18:50.712121 : Epoch 10, Batch    773, Loss  0.864244, Average Loss  0.868522, Time  0.447171
2021-09-25 19:18:56.770965 : Epoch 10, Batch    774, Loss  0.867471, Average Loss  0.868566, Time  0.460022
2021-09-25 19:19:02.842916 : Epoch 10, Batch    775, Loss  0.872281, Average Loss  0.868611, Time  0.456335
2021-09-25 19:19:08.906120 : Epoch 10, Batch    776, Loss  0.866458, Average Loss  0.868630, Time  0.448480
2021-09-25 19:19:14.956691 : Epoch 10, Batch    777, Loss  0.885854, Average Loss  0.868638, Time  0.444900
2021-09-25 19:19:21.014345 : Epoch 10, Batch    778, Loss  0.864198, Average Loss  0.868653, Time  0.446568
2021-09-25 19:19:27.087408 : Epoch 10, Batch    779, Loss  0.866019, Average Loss  0.868643, Time  0.445641
2021-09-25 19:19:33.140620 : Epoch 10, Batch    780, Loss  0.871000, Average Loss  0.868714, Time  0.447119
2021-09-25 19:19:39.197384 : Epoch 10, Batch    781, Loss  0.866996, Average Loss  0.868735, Time  0.445498
2021-09-25 19:19:45.267641 : Epoch 10, Batch    782, Loss  0.869927, Average Loss  0.868732, Time  0.455833
2021-09-25 19:19:51.335456 : Epoch 10, Batch    783, Loss  0.861836, Average Loss  0.868786, Time  0.448414
2021-09-25 19:19:57.407921 : Epoch 10, Batch    784, Loss  0.865306, Average Loss  0.868695, Time  0.451838
2021-09-25 19:20:03.467926 : Epoch 10, Batch    785, Loss  0.858385, Average Loss  0.868604, Time  0.449006
2021-09-25 19:20:09.529714 : Epoch 10, Batch    786, Loss  0.865134, Average Loss  0.868569, Time  0.446902
2021-09-25 19:20:10.796863 : CheckPoint: Validation Loss  0.00014615, Best Loss  0.00014615
2021-09-25 19:20:10.828264 : Best Model Updated
2021-09-25 19:20:15.589714 : Epoch 10, Batch    787, Loss  0.880675, Average Loss  0.868638, Time  0.445061
2021-09-25 19:20:17.545875 : Epoch 10, Batch    449, Loss  0.868090, Average Loss  0.861685, Time  0.453490
2021-09-25 19:20:21.652993 : Epoch 10, Batch    788, Loss  0.869955, Average Loss  0.868685, Time  0.446502
2021-09-25 19:20:23.532214 : Epoch 10, Batch    450, Loss  0.860361, Average Loss  0.861602, Time  0.449955
2021-09-25 19:20:27.718247 : Epoch 10, Batch    789, Loss  0.891906, Average Loss  0.868789, Time  0.445528
2021-09-25 19:20:29.523997 : Epoch 10, Batch    451, Loss  0.857563, Average Loss  0.861597, Time  0.448590
2021-09-25 19:20:33.788852 : Epoch 10, Batch    790, Loss  0.861442, Average Loss  0.868796, Time  0.461997
2021-09-25 19:20:35.514352 : Epoch 10, Batch    452, Loss  0.870345, Average Loss  0.861663, Time  0.444216
2021-09-25 19:20:39.849578 : Epoch 10, Batch    791, Loss  0.859841, Average Loss  0.868658, Time  0.445021
2021-09-25 19:20:41.499397 : Epoch 10, Batch    453, Loss  0.855146, Average Loss  0.861605, Time  0.444392
2021-09-25 19:20:45.905523 : Epoch 10, Batch    792, Loss  0.872248, Average Loss  0.868699, Time  0.445112
2021-09-25 19:20:47.501437 : Epoch 10, Batch    454, Loss  0.844677, Average Loss  0.861514, Time  0.448646
2021-09-25 19:20:51.969559 : Epoch 10, Batch    793, Loss  0.873952, Average Loss  0.868664, Time  0.447677
2021-09-25 19:20:53.499798 : Epoch 10, Batch    455, Loss  0.872227, Average Loss  0.861573, Time  0.444649
2021-09-25 19:20:58.033090 : Epoch 10, Batch    794, Loss  0.872910, Average Loss  0.868701, Time  0.445121
2021-09-25 19:20:59.497711 : Epoch 10, Batch    456, Loss  0.831472, Average Loss  0.861406, Time  0.443950
2021-09-25 19:21:04.089529 : Epoch 10, Batch    795, Loss  0.860157, Average Loss  0.868693, Time  0.444273
2021-09-25 19:21:05.532041 : Epoch 10, Batch    457, Loss  0.845515, Average Loss  0.861385, Time  0.448617
2021-09-25 19:21:10.164957 : Epoch 10, Batch    796, Loss  0.853503, Average Loss  0.868623, Time  0.445444
2021-09-25 19:21:11.533868 : Epoch 10, Batch    458, Loss  0.854678, Average Loss  0.861404, Time  0.460425
2021-09-25 19:21:16.222278 : Epoch 10, Batch    797, Loss  0.885550, Average Loss  0.868702, Time  0.451054
2021-09-25 19:21:17.533805 : Epoch 10, Batch    459, Loss  0.840268, Average Loss  0.861272, Time  0.448935
2021-09-25 19:21:22.284739 : Epoch 10, Batch    798, Loss  0.875717, Average Loss  0.868693, Time  0.446707
2021-09-25 19:21:23.517742 : Epoch 10, Batch    460, Loss  0.858953, Average Loss  0.861230, Time  0.443619
2021-09-25 19:21:28.349185 : Epoch 10, Batch    799, Loss  0.870437, Average Loss  0.868691, Time  0.450710
2021-09-25 19:21:29.499875 : Epoch 10, Batch    461, Loss  0.866112, Average Loss  0.861275, Time  0.444518
2021-09-25 19:21:34.400220 : Epoch 10, Batch    800, Loss  0.874566, Average Loss  0.868698, Time  0.450668
2021-09-25 19:21:35.472889 : Epoch 10, Batch    462, Loss  0.863424, Average Loss  0.861247, Time  0.443675
2021-09-25 19:21:40.468795 : Epoch 10, Batch    801, Loss  0.876594, Average Loss  0.868764, Time  0.445860
2021-09-25 19:21:41.466473 : Epoch 10, Batch    463, Loss  0.837960, Average Loss  0.861130, Time  0.443867
2021-09-25 19:21:46.532919 : Epoch 10, Batch    802, Loss  0.859127, Average Loss  0.868753, Time  0.448218
2021-09-25 19:21:47.441778 : Epoch 10, Batch    464, Loss  0.858753, Average Loss  0.861117, Time  0.444842
2021-09-25 19:21:52.588942 : Epoch 10, Batch    803, Loss  0.863602, Average Loss  0.868786, Time  0.445930
2021-09-25 19:21:53.428002 : Epoch 10, Batch    465, Loss  0.854990, Average Loss  0.861070, Time  0.452837
2021-09-25 19:21:58.659150 : Epoch 10, Batch    804, Loss  0.855256, Average Loss  0.868772, Time  0.445692
2021-09-25 19:21:59.416520 : Epoch 10, Batch    466, Loss  0.849039, Average Loss  0.860987, Time  0.444420
2021-09-25 19:22:04.742559 : Epoch 10, Batch    805, Loss  0.858442, Average Loss  0.868708, Time  0.461978
2021-09-25 19:22:05.405032 : Epoch 10, Batch    467, Loss  0.873415, Average Loss  0.861028, Time  0.447137
2021-09-25 19:22:10.806439 : Epoch 10, Batch    806, Loss  0.863172, Average Loss  0.868657, Time  0.448270
2021-09-25 19:22:11.410867 : Epoch 10, Batch    468, Loss  0.858054, Average Loss  0.861009, Time  0.446936
2021-09-25 19:22:16.877888 : Epoch 10, Batch    807, Loss  0.861326, Average Loss  0.868557, Time  0.444873
2021-09-25 19:22:17.404806 : Epoch 10, Batch    469, Loss  0.860919, Average Loss  0.860925, Time  0.443880
2021-09-25 19:22:22.956818 : Epoch 10, Batch    808, Loss  0.869009, Average Loss  0.868600, Time  0.445589
2021-09-25 19:22:23.392638 : Epoch 10, Batch    470, Loss  0.846192, Average Loss  0.860783, Time  0.444928
2021-09-25 19:22:29.050945 : Epoch 10, Batch    809, Loss  0.872536, Average Loss  0.868606, Time  0.446982
2021-09-25 19:22:29.403625 : Epoch 10, Batch    471, Loss  0.868033, Average Loss  0.860834, Time  0.447066
2021-09-25 19:22:35.110756 : Epoch 10, Batch    810, Loss  0.872073, Average Loss  0.868654, Time  0.445911
2021-09-25 19:22:35.391476 : Epoch 10, Batch    472, Loss  0.856534, Average Loss  0.860864, Time  0.449507
2021-09-25 19:22:41.176103 : Epoch 10, Batch    811, Loss  0.872777, Average Loss  0.868642, Time  0.447207
2021-09-25 19:22:41.363552 : Epoch 10, Batch    473, Loss  0.847770, Average Loss  0.860817, Time  0.454739
2021-09-25 19:22:47.250457 : Epoch 10, Batch    812, Loss  0.849183, Average Loss  0.868593, Time  0.457119
2021-09-25 19:22:47.343641 : Epoch 10, Batch    474, Loss  0.848883, Average Loss  0.860740, Time  0.446517
2021-09-25 19:22:53.300865 : Epoch 10, Batch    813, Loss  0.871705, Average Loss  0.868569, Time  0.446032
2021-09-25 19:22:53.338464 : Epoch 10, Batch    475, Loss  0.873840, Average Loss  0.860818, Time  0.445124
2021-09-25 19:22:59.326571 : Epoch 10, Batch    476, Loss  0.851887, Average Loss  0.860706, Time  0.444400
2021-09-25 19:22:59.384369 : Epoch 10, Batch    814, Loss  0.862329, Average Loss  0.868572, Time  0.445688
2021-09-25 19:23:05.341175 : Epoch 10, Batch    477, Loss  0.842713, Average Loss  0.860572, Time  0.445053
2021-09-25 19:23:05.445870 : Epoch 10, Batch    815, Loss  0.871423, Average Loss  0.868584, Time  0.450962
2021-09-25 19:23:11.346820 : Epoch 10, Batch    478, Loss  0.847094, Average Loss  0.860509, Time  0.444832
2021-09-25 19:23:11.487076 : Epoch 10, Batch    816, Loss  0.876848, Average Loss  0.868541, Time  0.446723
2021-09-25 19:23:17.329046 : Epoch 10, Batch    479, Loss  0.861443, Average Loss  0.860491, Time  0.444482
2021-09-25 19:23:17.531544 : Epoch 10, Batch    817, Loss  0.870443, Average Loss  0.868560, Time  0.444659
2021-09-25 19:23:23.308192 : Epoch 10, Batch    480, Loss  0.847500, Average Loss  0.860358, Time  0.444780
2021-09-25 19:23:23.573860 : Epoch 10, Batch    818, Loss  0.866330, Average Loss  0.868505, Time  0.444820
2021-09-25 19:23:29.294838 : Epoch 10, Batch    481, Loss  0.855644, Average Loss  0.860307, Time  0.460494
2021-09-25 19:23:29.622132 : Epoch 10, Batch    819, Loss  0.865502, Average Loss  0.868466, Time  0.447215
2021-09-25 19:23:35.277399 : Epoch 10, Batch    482, Loss  0.855732, Average Loss  0.860196, Time  0.444267
2021-09-25 19:23:35.671733 : Epoch 10, Batch    820, Loss  0.862854, Average Loss  0.868449, Time  0.459585
2021-09-25 19:23:41.264012 : Epoch 10, Batch    483, Loss  0.864750, Average Loss  0.860149, Time  0.445498
2021-09-25 19:23:41.706605 : Epoch 10, Batch    821, Loss  0.862904, Average Loss  0.868477, Time  0.445328
2021-09-25 19:23:47.266399 : Epoch 10, Batch    484, Loss  0.854556, Average Loss  0.860127, Time  0.444406
2021-09-25 19:23:47.775524 : Epoch 10, Batch    822, Loss  0.880676, Average Loss  0.868555, Time  0.445041
2021-09-25 19:23:53.261000 : Epoch 10, Batch    485, Loss  0.855181, Average Loss  0.860207, Time  0.445394
2021-09-25 19:23:53.830764 : Epoch 10, Batch    823, Loss  0.866605, Average Loss  0.868623, Time  0.444873
2021-09-25 19:23:59.265972 : Epoch 10, Batch    486, Loss  0.865777, Average Loss  0.860267, Time  0.443649
2021-09-25 19:23:59.903063 : Epoch 10, Batch    824, Loss  0.879815, Average Loss  0.868691, Time  0.450783
2021-09-25 19:24:05.270388 : Epoch 10, Batch    487, Loss  0.855086, Average Loss  0.860224, Time  0.444003
2021-09-25 19:24:05.960051 : Epoch 10, Batch    825, Loss  0.858653, Average Loss  0.868703, Time  0.446110
2021-09-25 19:24:11.278849 : Epoch 10, Batch    488, Loss  0.853843, Average Loss  0.860106, Time  0.445154
2021-09-25 19:24:12.009826 : Epoch 10, Batch    826, Loss  0.868221, Average Loss  0.868692, Time  0.444196
2021-09-25 19:24:17.301214 : Epoch 10, Batch    489, Loss  0.856822, Average Loss  0.860134, Time  0.458282
2021-09-25 19:24:18.072818 : Epoch 10, Batch    827, Loss  0.876750, Average Loss  0.868784, Time  0.461743
2021-09-25 19:24:23.329976 : Epoch 10, Batch    490, Loss  0.854218, Average Loss  0.860110, Time  0.444752
2021-09-25 19:24:24.125106 : Epoch 10, Batch    828, Loss  0.866285, Average Loss  0.868776, Time  0.444477
2021-09-25 19:24:29.334976 : Epoch 10, Batch    491, Loss  0.848748, Average Loss  0.860000, Time  0.446231
2021-09-25 19:24:30.194125 : Epoch 10, Batch    829, Loss  0.850517, Average Loss  0.868615, Time  0.446040
2021-09-25 19:24:35.342816 : Epoch 10, Batch    492, Loss  0.858772, Average Loss  0.860018, Time  0.445775
2021-09-25 19:24:36.243836 : Epoch 10, Batch    830, Loss  0.861001, Average Loss  0.868614, Time  0.450422
2021-09-25 19:24:41.313268 : Epoch 10, Batch    493, Loss  0.868814, Average Loss  0.860026, Time  0.443727
2021-09-25 19:24:42.299068 : Epoch 10, Batch    831, Loss  0.863332, Average Loss  0.868562, Time  0.448443
2021-09-25 19:24:47.320688 : Epoch 10, Batch    494, Loss  0.855966, Average Loss  0.859920, Time  0.445019
2021-09-25 19:24:48.364024 : Epoch 10, Batch    832, Loss  0.863141, Average Loss  0.868569, Time  0.444448
2021-09-25 19:24:53.304489 : Epoch 10, Batch    495, Loss  0.851119, Average Loss  0.859801, Time  0.444648
2021-09-25 19:24:54.408682 : Epoch 10, Batch    833, Loss  0.854364, Average Loss  0.868538, Time  0.448648
2021-09-25 19:24:59.312072 : Epoch 10, Batch    496, Loss  0.866192, Average Loss  0.859874, Time  0.447287
2021-09-25 19:25:00.464718 : Epoch 10, Batch    834, Loss  0.864427, Average Loss  0.868682, Time  0.446234
2021-09-25 19:25:05.293470 : Epoch 10, Batch    497, Loss  0.860399, Average Loss  0.859770, Time  0.451808
2021-09-25 19:25:06.529628 : Epoch 10, Batch    835, Loss  0.876651, Average Loss  0.868744, Time  0.460691
2021-09-25 19:25:11.280949 : Epoch 10, Batch    498, Loss  0.850025, Average Loss  0.859727, Time  0.444386
2021-09-25 19:25:12.597556 : Epoch 10, Batch    836, Loss  0.864302, Average Loss  0.868748, Time  0.445576
2021-09-25 19:25:17.274571 : Epoch 10, Batch    499, Loss  0.855352, Average Loss  0.859716, Time  0.448540
2021-09-25 19:25:18.683421 : Epoch 10, Batch    837, Loss  0.851154, Average Loss  0.868710, Time  0.445544
2021-09-25 19:25:23.270800 : Epoch 10, Batch    500, Loss  0.864654, Average Loss  0.859714, Time  0.443455
2021-09-25 19:25:24.750840 : Epoch 10, Batch    838, Loss  0.858781, Average Loss  0.868637, Time  0.445779
2021-09-25 19:25:29.253736 : Epoch 10, Batch    501, Loss  0.841553, Average Loss  0.859601, Time  0.444804
2021-09-25 19:25:30.811057 : Epoch 10, Batch    839, Loss  0.867610, Average Loss  0.868672, Time  0.452986
2021-09-25 19:25:35.245588 : Epoch 10, Batch    502, Loss  0.848682, Average Loss  0.859479, Time  0.444375
2021-09-25 19:25:36.857688 : Epoch 10, Batch    840, Loss  0.875990, Average Loss  0.868751, Time  0.447514
2021-09-25 19:25:41.214189 : Epoch 10, Batch    503, Loss  0.855879, Average Loss  0.859491, Time  0.443536
2021-09-25 19:25:42.890025 : Epoch 10, Batch    841, Loss  0.885472, Average Loss  0.868884, Time  0.446141
2021-09-25 19:25:47.212292 : Epoch 10, Batch    504, Loss  0.849344, Average Loss  0.859436, Time  0.443527
2021-09-25 19:25:48.950218 : Epoch 10, Batch    842, Loss  0.863681, Average Loss  0.868834, Time  0.452981
2021-09-25 19:25:53.205771 : Epoch 10, Batch    505, Loss  0.863029, Average Loss  0.859423, Time  0.454591
2021-09-25 19:25:55.012463 : Epoch 10, Batch    843, Loss  0.860696, Average Loss  0.868795, Time  0.449432
2021-09-25 19:25:59.180465 : Epoch 10, Batch    506, Loss  0.856398, Average Loss  0.859377, Time  0.446033
2021-09-25 19:26:01.054235 : Epoch 10, Batch    844, Loss  0.865814, Average Loss  0.868688, Time  0.445506
2021-09-25 19:26:05.166385 : Epoch 10, Batch    507, Loss  0.842155, Average Loss  0.859279, Time  0.444667
2021-09-25 19:26:07.105558 : Epoch 10, Batch    845, Loss  0.877752, Average Loss  0.868783, Time  0.444732
2021-09-25 19:26:11.169863 : Epoch 10, Batch    508, Loss  0.852072, Average Loss  0.859314, Time  0.448142
2021-09-25 19:26:13.181865 : Epoch 10, Batch    846, Loss  0.868212, Average Loss  0.868782, Time  0.450890
2021-09-25 19:26:17.166873 : Epoch 10, Batch    509, Loss  0.846393, Average Loss  0.859243, Time  0.452058
2021-09-25 19:26:19.248208 : Epoch 10, Batch    847, Loss  0.883689, Average Loss  0.868815, Time  0.446379
2021-09-25 19:26:23.160771 : Epoch 10, Batch    510, Loss  0.859588, Average Loss  0.859248, Time  0.451387
2021-09-25 19:26:25.315000 : Epoch 10, Batch    848, Loss  0.863426, Average Loss  0.868826, Time  0.445747
2021-09-25 19:26:29.201897 : Epoch 10, Batch    511, Loss  0.852881, Average Loss  0.859252, Time  0.453420
2021-09-25 19:26:35.237403 : Epoch 10, Batch    512, Loss  0.866797, Average Loss  0.859199, Time  0.447100
2021-09-25 19:26:41.257248 : Epoch 10, Batch    513, Loss  0.843813, Average Loss  0.859187, Time  0.460584
2021-09-25 19:26:47.270924 : Epoch 10, Batch    514, Loss  0.864322, Average Loss  0.859187, Time  0.444130
2021-09-25 19:26:53.272266 : Epoch 10, Batch    515, Loss  0.850315, Average Loss  0.859153, Time  0.443631
2021-09-25 19:26:59.290343 : Epoch 10, Batch    516, Loss  0.866552, Average Loss  0.859127, Time  0.446439
2021-09-25 19:27:05.294867 : Epoch 10, Batch    517, Loss  0.852070, Average Loss  0.859125, Time  0.444694
2021-09-25 19:27:11.294636 : Epoch 10, Batch    518, Loss  0.867149, Average Loss  0.859092, Time  0.443944
2021-09-25 19:27:17.294972 : Epoch 10, Batch    519, Loss  0.848380, Average Loss  0.858960, Time  0.445549
2021-09-25 19:27:23.286671 : Epoch 10, Batch    520, Loss  0.858096, Average Loss  0.858852, Time  0.449004
2021-09-25 19:27:29.293874 : Epoch 10, Batch    521, Loss  0.848387, Average Loss  0.858725, Time  0.459337
2021-09-25 19:27:35.288603 : Epoch 10, Batch    522, Loss  0.863533, Average Loss  0.858722, Time  0.445727
2021-09-25 19:27:41.268326 : Epoch 10, Batch    523, Loss  0.862484, Average Loss  0.858632, Time  0.447808
2021-09-25 19:27:47.249368 : Epoch 10, Batch    524, Loss  0.859030, Average Loss  0.858558, Time  0.443896
2021-09-25 19:27:53.226621 : Epoch 10, Batch    525, Loss  0.856837, Average Loss  0.858555, Time  0.445977
2021-09-25 19:27:59.213953 : Epoch 10, Batch    526, Loss  0.847093, Average Loss  0.858476, Time  0.444325
2021-09-25 19:28:05.209693 : Epoch 10, Batch    527, Loss  0.864903, Average Loss  0.858465, Time  0.445425
2021-09-25 19:28:11.227937 : Epoch 10, Batch    528, Loss  0.842373, Average Loss  0.858365, Time  0.448926
2021-09-25 19:28:17.244965 : Epoch 10, Batch    529, Loss  0.841245, Average Loss  0.858261, Time  0.456188
2021-09-25 19:28:23.252300 : Epoch 10, Batch    530, Loss  0.859926, Average Loss  0.858200, Time  0.446126
2021-09-25 19:28:29.250646 : Epoch 10, Batch    531, Loss  0.865454, Average Loss  0.858253, Time  0.445786
2021-09-25 19:28:35.278825 : Epoch 10, Batch    532, Loss  0.844318, Average Loss  0.858120, Time  0.444591
2021-09-25 19:28:41.289279 : Epoch 10, Batch    533, Loss  0.855934, Average Loss  0.858056, Time  0.443791
2021-09-25 19:28:47.286447 : Epoch 10, Batch    534, Loss  0.865385, Average Loss  0.858060, Time  0.445933
2021-09-25 19:28:53.285286 : Epoch 10, Batch    535, Loss  0.861091, Average Loss  0.858052, Time  0.446179
2021-09-25 19:28:59.285697 : Epoch 10, Batch    536, Loss  0.848222, Average Loss  0.858011, Time  0.448392
2021-09-25 19:29:05.300216 : Epoch 10, Batch    537, Loss  0.867157, Average Loss  0.857991, Time  0.461695
2021-09-25 19:29:11.298072 : Epoch 10, Batch    538, Loss  0.849201, Average Loss  0.858024, Time  0.450297
2021-09-25 19:29:17.308440 : Epoch 10, Batch    539, Loss  0.838141, Average Loss  0.857916, Time  0.446450
2021-09-25 19:29:23.305855 : Epoch 10, Batch    540, Loss  0.873056, Average Loss  0.857967, Time  0.448423
2021-09-25 19:29:29.312537 : Epoch 10, Batch    541, Loss  0.841584, Average Loss  0.857773, Time  0.446808
2021-09-25 19:29:35.294490 : Epoch 10, Batch    542, Loss  0.837571, Average Loss  0.857648, Time  0.445889
2021-09-25 19:29:41.283266 : Epoch 10, Batch    543, Loss  0.853391, Average Loss  0.857680, Time  0.443840
2021-09-25 19:29:47.289900 : Epoch 10, Batch    544, Loss  0.847605, Average Loss  0.857633, Time  0.454724
2021-09-25 19:29:53.296221 : Epoch 10, Batch    545, Loss  0.866966, Average Loss  0.857650, Time  0.458906
2021-09-25 19:29:59.280569 : Epoch 10, Batch    546, Loss  0.862921, Average Loss  0.857667, Time  0.444998
2021-09-25 19:30:05.252521 : Epoch 10, Batch    547, Loss  0.856976, Average Loss  0.857657, Time  0.445804
2021-09-25 19:30:11.247150 : Epoch 10, Batch    548, Loss  0.861026, Average Loss  0.857757, Time  0.444951
2021-09-25 19:31:09.666846 : CheckPoint: Validation Loss  0.00015266, Best Loss  0.00014749
2021-09-25 19:31:15.737388 : Epoch 10, Batch    849, Loss  0.865434, Average Loss  0.868808, Time  0.457668
2021-09-25 19:31:21.796896 : Epoch 10, Batch    850, Loss  0.885121, Average Loss  0.868946, Time  0.447566
2021-09-25 19:31:27.844892 : Epoch 10, Batch    851, Loss  0.860481, Average Loss  0.868914, Time  0.446075
2021-09-25 19:31:33.894076 : Epoch 10, Batch    852, Loss  0.855379, Average Loss  0.868820, Time  0.445736
2021-09-25 19:31:39.941057 : Epoch 10, Batch    853, Loss  0.874111, Average Loss  0.868789, Time  0.447304
2021-09-25 19:31:46.008018 : Epoch 10, Batch    854, Loss  0.863064, Average Loss  0.868827, Time  0.449116
2021-09-25 19:31:52.054794 : Epoch 10, Batch    855, Loss  0.863404, Average Loss  0.868818, Time  0.445992
2021-09-25 19:31:58.115183 : Epoch 10, Batch    856, Loss  0.872089, Average Loss  0.868843, Time  0.457515
2021-09-25 19:32:04.161450 : Epoch 10, Batch    857, Loss  0.850405, Average Loss  0.868828, Time  0.445799
2021-09-25 19:32:10.209572 : Epoch 10, Batch    858, Loss  0.867032, Average Loss  0.868857, Time  0.445851
2021-09-25 19:32:16.245591 : Epoch 10, Batch    859, Loss  0.883234, Average Loss  0.868937, Time  0.445782
2021-09-25 19:32:22.298011 : Epoch 10, Batch    860, Loss  0.876216, Average Loss  0.868892, Time  0.445842
2021-09-25 19:32:28.343373 : Epoch 10, Batch    861, Loss  0.857971, Average Loss  0.868813, Time  0.445804
2021-09-25 19:32:34.397301 : Epoch 10, Batch    862, Loss  0.866734, Average Loss  0.868825, Time  0.444945
2021-09-25 19:32:40.456424 : Epoch 10, Batch    863, Loss  0.844613, Average Loss  0.868755, Time  0.458659
2021-09-25 19:32:46.519694 : Epoch 10, Batch    864, Loss  0.878444, Average Loss  0.868742, Time  0.445196
2021-09-25 19:32:52.586914 : Epoch 10, Batch    865, Loss  0.860006, Average Loss  0.868727, Time  0.445572
2021-09-25 19:32:58.627491 : Epoch 10, Batch    866, Loss  0.866988, Average Loss  0.868764, Time  0.445542
2021-09-25 19:33:04.683925 : Epoch 10, Batch    867, Loss  0.875749, Average Loss  0.868782, Time  0.446991
2021-09-25 19:33:10.744969 : Epoch 10, Batch    868, Loss  0.871840, Average Loss  0.868812, Time  0.446184
2021-09-25 19:33:16.791643 : Epoch 10, Batch    869, Loss  0.859564, Average Loss  0.868837, Time  0.445596
2021-09-25 19:33:22.832848 : Epoch 10, Batch    870, Loss  0.880302, Average Loss  0.868863, Time  0.449266
2021-09-25 19:33:28.897112 : Epoch 10, Batch    871, Loss  0.872189, Average Loss  0.868903, Time  0.461650
2021-09-25 19:33:34.940532 : Epoch 10, Batch    872, Loss  0.878276, Average Loss  0.868925, Time  0.444374
2021-09-25 19:33:40.992086 : Epoch 10, Batch    873, Loss  0.886576, Average Loss  0.869000, Time  0.445716
2021-09-25 19:33:47.038555 : Epoch 10, Batch    874, Loss  0.875091, Average Loss  0.869034, Time  0.445181
2021-09-25 19:33:53.102276 : Epoch 10, Batch    875, Loss  0.871674, Average Loss  0.869026, Time  0.444776
2021-09-25 19:33:59.155457 : Epoch 10, Batch    876, Loss  0.848423, Average Loss  0.868893, Time  0.445792
2021-09-25 19:34:05.202136 : Epoch 10, Batch    877, Loss  0.884853, Average Loss  0.868923, Time  0.445700
2021-09-25 19:34:11.262772 : Epoch 10, Batch    878, Loss  0.865450, Average Loss  0.868871, Time  0.458303
2021-09-25 19:34:17.326093 : Epoch 10, Batch    879, Loss  0.873011, Average Loss  0.868876, Time  0.447008
2021-09-25 19:34:23.381579 : Epoch 10, Batch    880, Loss  0.873714, Average Loss  0.868856, Time  0.445183
2021-09-25 19:34:29.431994 : Epoch 10, Batch    881, Loss  0.878130, Average Loss  0.868820, Time  0.444820
2021-09-25 19:34:35.463015 : Epoch 10, Batch    882, Loss  0.873036, Average Loss  0.868790, Time  0.444703
2021-09-25 19:34:41.517588 : Epoch 10, Batch    883, Loss  0.864350, Average Loss  0.868759, Time  0.447874
2021-09-25 19:34:47.598272 : Epoch 10, Batch    884, Loss  0.883202, Average Loss  0.868865, Time  0.445877
2021-09-25 19:34:53.652155 : Epoch 10, Batch    885, Loss  0.855480, Average Loss  0.868849, Time  0.445180
2021-09-25 19:34:57.508947 : CheckPoint: Validation Loss  0.00014765, Best Loss  0.00014615
2021-09-25 19:34:59.713273 : Epoch 10, Batch    886, Loss  0.875700, Average Loss  0.868955, Time  0.458882
2021-09-25 19:35:03.561880 : Epoch 10, Batch    549, Loss  0.855246, Average Loss  0.857728, Time  0.446742
2021-09-25 19:35:05.767534 : Epoch 10, Batch    887, Loss  0.869621, Average Loss  0.868972, Time  0.444784
2021-09-25 19:35:09.602073 : Epoch 10, Batch    550, Loss  0.842904, Average Loss  0.857570, Time  0.453431
2021-09-25 19:35:11.838713 : Epoch 10, Batch    888, Loss  0.867991, Average Loss  0.868955, Time  0.446602
2021-09-25 19:35:15.639688 : Epoch 10, Batch    551, Loss  0.856070, Average Loss  0.857526, Time  0.457745
2021-09-25 19:35:17.900881 : Epoch 10, Batch    889, Loss  0.865103, Average Loss  0.868934, Time  0.445386
2021-09-25 19:35:21.665217 : Epoch 10, Batch    552, Loss  0.860141, Average Loss  0.857501, Time  0.443664
2021-09-25 19:35:23.951047 : Epoch 10, Batch    890, Loss  0.878783, Average Loss  0.869067, Time  0.445061
2021-09-25 19:35:27.700468 : Epoch 10, Batch    553, Loss  0.850496, Average Loss  0.857334, Time  0.443915
2021-09-25 19:35:30.013707 : Epoch 10, Batch    891, Loss  0.874713, Average Loss  0.869161, Time  0.445493
2021-09-25 19:35:33.724835 : Epoch 10, Batch    554, Loss  0.865319, Average Loss  0.857378, Time  0.448390
2021-09-25 19:35:36.060256 : Epoch 10, Batch    892, Loss  0.875024, Average Loss  0.869176, Time  0.444455
2021-09-25 19:35:39.747855 : Epoch 10, Batch    555, Loss  0.846955, Average Loss  0.857324, Time  0.444727
2021-09-25 19:35:42.135615 : Epoch 10, Batch    893, Loss  0.884084, Average Loss  0.869187, Time  0.462252
2021-09-25 19:35:45.789440 : Epoch 10, Batch    556, Loss  0.858882, Average Loss  0.857366, Time  0.446133
2021-09-25 19:35:48.189200 : Epoch 10, Batch    894, Loss  0.873222, Average Loss  0.869282, Time  0.445621
2021-09-25 19:35:51.820397 : Epoch 10, Batch    557, Loss  0.853381, Average Loss  0.857403, Time  0.445673
2021-09-25 19:35:54.261012 : Epoch 10, Batch    895, Loss  0.854426, Average Loss  0.869226, Time  0.445403
2021-09-25 19:35:57.864008 : Epoch 10, Batch    558, Loss  0.866072, Average Loss  0.857389, Time  0.458103
2021-09-25 19:36:00.316602 : Epoch 10, Batch    896, Loss  0.859419, Average Loss  0.869189, Time  0.445738
2021-09-25 19:36:03.905624 : Epoch 10, Batch    559, Loss  0.858759, Average Loss  0.857425, Time  0.445116
2021-09-25 19:36:06.369861 : Epoch 10, Batch    897, Loss  0.864163, Average Loss  0.869117, Time  0.448250
2021-09-25 19:36:09.948879 : Epoch 10, Batch    560, Loss  0.842071, Average Loss  0.857328, Time  0.444443
2021-09-25 19:36:12.432162 : Epoch 10, Batch    898, Loss  0.877926, Average Loss  0.869110, Time  0.445391
2021-09-25 19:36:15.997781 : Epoch 10, Batch    561, Loss  0.854879, Average Loss  0.857276, Time  0.445128
2021-09-25 19:36:18.487670 : Epoch 10, Batch    899, Loss  0.858700, Average Loss  0.869054, Time  0.445621
2021-09-25 19:36:22.039578 : Epoch 10, Batch    562, Loss  0.866710, Average Loss  0.857218, Time  0.451475
2021-09-25 19:36:24.546388 : Epoch 10, Batch    900, Loss  0.860049, Average Loss  0.869045, Time  0.446540
2021-09-25 19:36:28.095790 : Epoch 10, Batch    563, Loss  0.857838, Average Loss  0.857253, Time  0.446782
2021-09-25 19:36:30.625657 : Epoch 10, Batch    901, Loss  0.863578, Average Loss  0.869011, Time  0.458705
2021-09-25 19:36:34.124822 : Epoch 10, Batch    564, Loss  0.860671, Average Loss  0.857273, Time  0.444441
2021-09-25 19:36:36.680461 : Epoch 10, Batch    902, Loss  0.865522, Average Loss  0.868990, Time  0.445200
2021-09-25 19:36:40.180477 : Epoch 10, Batch    565, Loss  0.842926, Average Loss  0.857212, Time  0.446747
2021-09-25 19:36:42.736237 : Epoch 10, Batch    903, Loss  0.862608, Average Loss  0.868990, Time  0.446223
2021-09-25 19:36:46.231618 : Epoch 10, Batch    566, Loss  0.858918, Average Loss  0.857145, Time  0.461017
2021-09-25 19:36:48.785853 : Epoch 10, Batch    904, Loss  0.857625, Average Loss  0.868865, Time  0.444840
2021-09-25 19:36:52.259888 : Epoch 10, Batch    567, Loss  0.854955, Average Loss  0.857119, Time  0.443478
2021-09-25 19:36:54.835112 : Epoch 10, Batch    905, Loss  0.872321, Average Loss  0.868902, Time  0.445935
2021-09-25 19:36:58.284672 : Epoch 10, Batch    568, Loss  0.854073, Average Loss  0.856994, Time  0.443503
2021-09-25 19:37:00.885140 : Epoch 10, Batch    906, Loss  0.870632, Average Loss  0.868973, Time  0.444997
2021-09-25 19:37:04.308605 : Epoch 10, Batch    569, Loss  0.849317, Average Loss  0.856911, Time  0.446114
2021-09-25 19:37:06.930419 : Epoch 10, Batch    907, Loss  0.862435, Average Loss  0.869022, Time  0.445107
2021-09-25 19:37:10.363660 : Epoch 10, Batch    570, Loss  0.861679, Average Loss  0.856953, Time  0.446205
2021-09-25 19:37:12.999615 : Epoch 10, Batch    908, Loss  0.887714, Average Loss  0.869200, Time  0.462146
2021-09-25 19:37:16.396882 : Epoch 10, Batch    571, Loss  0.859905, Average Loss  0.856930, Time  0.443314
2021-09-25 19:37:19.037495 : Epoch 10, Batch    909, Loss  0.876507, Average Loss  0.869264, Time  0.445141
2021-09-25 19:37:22.395776 : Epoch 10, Batch    572, Loss  0.851091, Average Loss  0.856900, Time  0.445736
2021-09-25 19:37:25.083155 : Epoch 10, Batch    910, Loss  0.860005, Average Loss  0.869189, Time  0.444566
2021-09-25 19:37:28.438897 : Epoch 10, Batch    573, Loss  0.837125, Average Loss  0.856719, Time  0.456953
2021-09-25 19:37:31.119055 : Epoch 10, Batch    911, Loss  0.869432, Average Loss  0.869128, Time  0.445267
2021-09-25 19:37:34.473839 : Epoch 10, Batch    574, Loss  0.846896, Average Loss  0.856678, Time  0.448035
2021-09-25 19:37:37.185059 : Epoch 10, Batch    912, Loss  0.871040, Average Loss  0.869119, Time  0.445758
2021-09-25 19:37:40.502422 : Epoch 10, Batch    575, Loss  0.859388, Average Loss  0.856675, Time  0.453244
2021-09-25 19:37:43.245278 : Epoch 10, Batch    913, Loss  0.873881, Average Loss  0.869079, Time  0.455536
2021-09-25 19:37:46.537035 : Epoch 10, Batch    576, Loss  0.863411, Average Loss  0.856660, Time  0.444433
2021-09-25 19:37:49.304879 : Epoch 10, Batch    914, Loss  0.872148, Average Loss  0.869107, Time  0.445770
2021-09-25 19:37:52.584220 : Epoch 10, Batch    577, Loss  0.850180, Average Loss  0.856642, Time  0.445896
2021-09-25 19:37:55.353924 : Epoch 10, Batch    915, Loss  0.870166, Average Loss  0.869138, Time  0.444738
2021-09-25 19:37:58.622660 : Epoch 10, Batch    578, Loss  0.848467, Average Loss  0.856562, Time  0.444452
2021-09-25 19:38:01.428758 : Epoch 10, Batch    916, Loss  0.873537, Average Loss  0.869168, Time  0.453324
2021-09-25 19:38:04.652324 : Epoch 10, Batch    579, Loss  0.857123, Average Loss  0.856540, Time  0.444441
2021-09-25 19:38:07.488095 : Epoch 10, Batch    917, Loss  0.872355, Average Loss  0.869187, Time  0.448441
2021-09-25 19:38:10.679604 : Epoch 10, Batch    580, Loss  0.849261, Average Loss  0.856395, Time  0.445271
2021-09-25 19:38:13.550696 : Epoch 10, Batch    918, Loss  0.854531, Average Loss  0.869081, Time  0.445337
2021-09-25 19:38:16.736492 : Epoch 10, Batch    581, Loss  0.854196, Average Loss  0.856249, Time  0.455636
2021-09-25 19:38:19.608865 : Epoch 10, Batch    919, Loss  0.876238, Average Loss  0.869107, Time  0.448080
2021-09-25 19:38:22.767190 : Epoch 10, Batch    582, Loss  0.845054, Average Loss  0.856181, Time  0.444013
2021-09-25 19:38:25.667218 : Epoch 10, Batch    920, Loss  0.882461, Average Loss  0.869180, Time  0.444635
2021-09-25 19:38:28.800785 : Epoch 10, Batch    583, Loss  0.868599, Average Loss  0.856252, Time  0.444575
2021-09-25 19:38:31.732323 : Epoch 10, Batch    921, Loss  0.869883, Average Loss  0.869140, Time  0.447035
2021-09-25 19:38:34.842045 : Epoch 10, Batch    584, Loss  0.845677, Average Loss  0.856194, Time  0.444731
2021-09-25 19:38:37.795261 : Epoch 10, Batch    922, Loss  0.877680, Average Loss  0.869269, Time  0.446949
2021-09-25 19:38:40.867762 : Epoch 10, Batch    585, Loss  0.844486, Average Loss  0.856157, Time  0.447874
2021-09-25 19:38:43.854814 : Epoch 10, Batch    923, Loss  0.869129, Average Loss  0.869323, Time  0.453842
2021-09-25 19:38:46.884911 : Epoch 10, Batch    586, Loss  0.864849, Average Loss  0.856132, Time  0.445128
2021-09-25 19:38:49.883287 : Epoch 10, Batch    924, Loss  0.857405, Average Loss  0.869277, Time  0.445349
2021-09-25 19:38:52.930689 : Epoch 10, Batch    587, Loss  0.846203, Average Loss  0.856083, Time  0.451529
2021-09-25 19:38:55.940781 : Epoch 10, Batch    925, Loss  0.893986, Average Loss  0.869304, Time  0.445964
2021-09-25 19:38:58.987219 : Epoch 10, Batch    588, Loss  0.868596, Average Loss  0.856108, Time  0.456465
2021-09-25 19:39:02.004361 : Epoch 10, Batch    926, Loss  0.852047, Average Loss  0.869098, Time  0.446523
2021-09-25 19:39:05.013856 : Epoch 10, Batch    589, Loss  0.857581, Average Loss  0.856039, Time  0.447870
2021-09-25 19:39:08.074812 : Epoch 10, Batch    927, Loss  0.891536, Average Loss  0.869150, Time  0.444123
2021-09-25 19:39:11.028033 : Epoch 10, Batch    590, Loss  0.859521, Average Loss  0.856094, Time  0.446351
2021-09-25 19:39:14.122951 : Epoch 10, Batch    928, Loss  0.869399, Average Loss  0.869107, Time  0.445018
2021-09-25 19:39:14.157380 : Saving Model after 10-th Epoch.
2021-09-25 19:39:14.905176 : Epoch Finished.
2021-09-25 19:39:17.063989 : Epoch 10, Batch    591, Loss  0.844884, Average Loss  0.856052, Time  0.447014
2021-09-25 19:39:23.105630 : Epoch 10, Batch    592, Loss  0.847171, Average Loss  0.855991, Time  0.444181
2021-09-25 19:39:29.125607 : Epoch 10, Batch    593, Loss  0.858021, Average Loss  0.856032, Time  0.445818
2021-09-25 19:39:35.167925 : Epoch 10, Batch    594, Loss  0.866633, Average Loss  0.856043, Time  0.444876
2021-09-25 19:39:41.187785 : Epoch 10, Batch    595, Loss  0.855575, Average Loss  0.855983, Time  0.444328
2021-09-25 19:39:47.237593 : Epoch 10, Batch    596, Loss  0.858213, Average Loss  0.856009, Time  0.463144
2021-09-25 19:39:53.257923 : Epoch 10, Batch    597, Loss  0.854935, Average Loss  0.855998, Time  0.445188
2021-09-25 19:39:59.275709 : Epoch 10, Batch    598, Loss  0.842123, Average Loss  0.855944, Time  0.444873
2021-09-25 19:40:05.290193 : Epoch 10, Batch    599, Loss  0.835784, Average Loss  0.855783, Time  0.446508
2021-09-25 19:40:11.307797 : Epoch 10, Batch    600, Loss  0.866284, Average Loss  0.855863, Time  0.447167
2021-09-25 19:40:17.347037 : Epoch 10, Batch    601, Loss  0.852484, Average Loss  0.855792, Time  0.450132
2021-09-25 19:40:23.367243 : Epoch 10, Batch    602, Loss  0.846623, Average Loss  0.855729, Time  0.443955
2021-09-25 19:40:29.413412 : Epoch 10, Batch    603, Loss  0.842561, Average Loss  0.855676, Time  0.456569
2021-09-25 19:40:35.447910 : Epoch 10, Batch    604, Loss  0.846262, Average Loss  0.855590, Time  0.444201
2021-09-25 19:40:41.471038 : Epoch 10, Batch    605, Loss  0.851996, Average Loss  0.855505, Time  0.445329
2021-09-25 19:40:47.486523 : Epoch 10, Batch    606, Loss  0.862903, Average Loss  0.855527, Time  0.446470
2021-09-25 19:40:53.522801 : Epoch 10, Batch    607, Loss  0.847375, Average Loss  0.855434, Time  0.449291
2021-09-25 19:40:59.560774 : Epoch 10, Batch    608, Loss  0.856341, Average Loss  0.855502, Time  0.445012
2021-09-25 19:41:05.585271 : Epoch 10, Batch    609, Loss  0.853796, Average Loss  0.855530, Time  0.446119
2021-09-25 19:41:11.609773 : Epoch 10, Batch    610, Loss  0.830828, Average Loss  0.855388, Time  0.446815
2021-09-25 19:41:17.638641 : Epoch 10, Batch    611, Loss  0.862546, Average Loss  0.855399, Time  0.459191
2021-09-25 19:41:23.664901 : Epoch 10, Batch    612, Loss  0.872193, Average Loss  0.855419, Time  0.444377
2021-09-25 19:41:29.687820 : Epoch 10, Batch    613, Loss  0.845877, Average Loss  0.855408, Time  0.444570
2021-09-25 19:41:35.739004 : Epoch 10, Batch    614, Loss  0.860979, Average Loss  0.855466, Time  0.443524
2021-09-25 19:41:41.771648 : Epoch 10, Batch    615, Loss  0.862692, Average Loss  0.855570, Time  0.444989
2021-09-25 19:41:47.801783 : Epoch 10, Batch    616, Loss  0.874487, Average Loss  0.855574, Time  0.448140
2021-09-25 19:41:53.827307 : Epoch 10, Batch    617, Loss  0.845565, Average Loss  0.855547, Time  0.445364
2021-09-25 19:41:59.863097 : Epoch 10, Batch    618, Loss  0.850888, Average Loss  0.855418, Time  0.461362
2021-09-25 19:42:05.877317 : Epoch 10, Batch    619, Loss  0.859360, Average Loss  0.855403, Time  0.449067
2021-09-25 19:42:11.879225 : Epoch 10, Batch    620, Loss  0.847395, Average Loss  0.855420, Time  0.445112
2021-09-25 19:42:17.896637 : Epoch 10, Batch    621, Loss  0.833080, Average Loss  0.855230, Time  0.443964
2021-09-25 19:42:23.920091 : Epoch 10, Batch    622, Loss  0.835856, Average Loss  0.855076, Time  0.446234
2021-09-25 19:42:29.941794 : Epoch 10, Batch    623, Loss  0.865817, Average Loss  0.855122, Time  0.447450
2021-09-25 19:42:35.963179 : Epoch 10, Batch    624, Loss  0.858105, Average Loss  0.855094, Time  0.444387
2021-09-25 19:42:41.989894 : Epoch 10, Batch    625, Loss  0.869242, Average Loss  0.855106, Time  0.446659
2021-09-25 19:42:48.011164 : Epoch 10, Batch    626, Loss  0.841297, Average Loss  0.855003, Time  0.453294
2021-09-25 19:42:54.047076 : Epoch 10, Batch    627, Loss  0.854630, Average Loss  0.854943, Time  0.451406
2021-09-25 19:43:00.091363 : Epoch 10, Batch    628, Loss  0.853674, Average Loss  0.854950, Time  0.446701
2021-09-25 19:43:06.122869 : Epoch 10, Batch    629, Loss  0.837948, Average Loss  0.854830, Time  0.444845
2021-09-25 19:43:12.139011 : Epoch 10, Batch    630, Loss  0.852555, Average Loss  0.854799, Time  0.445095
2021-09-25 19:43:18.153796 : Epoch 10, Batch    631, Loss  0.850942, Average Loss  0.854742, Time  0.445618
2021-09-25 19:43:24.178940 : Epoch 10, Batch    632, Loss  0.856114, Average Loss  0.854689, Time  0.447351
2021-09-25 19:43:30.214353 : Epoch 10, Batch    633, Loss  0.851041, Average Loss  0.854693, Time  0.457637
2021-09-25 19:43:36.227066 : Epoch 10, Batch    634, Loss  0.851825, Average Loss  0.854693, Time  0.446795
2021-09-25 19:43:42.256489 : Epoch 10, Batch    635, Loss  0.863171, Average Loss  0.854725, Time  0.444295
2021-09-25 19:43:48.268476 : Epoch 10, Batch    636, Loss  0.865700, Average Loss  0.854788, Time  0.444149
2021-09-25 19:43:54.299460 : Epoch 10, Batch    637, Loss  0.840783, Average Loss  0.854765, Time  0.445090
2021-09-25 19:44:00.328009 : Epoch 10, Batch    638, Loss  0.854793, Average Loss  0.854735, Time  0.447690
2021-09-25 19:44:06.359776 : Epoch 10, Batch    639, Loss  0.855078, Average Loss  0.854768, Time  0.443556
2021-09-25 19:44:12.397166 : Epoch 10, Batch    640, Loss  0.864970, Average Loss  0.854864, Time  0.445533
2021-09-25 19:44:18.451151 : Epoch 10, Batch    641, Loss  0.863259, Average Loss  0.854885, Time  0.454134
2021-09-25 19:44:24.452804 : Epoch 10, Batch    642, Loss  0.845851, Average Loss  0.854829, Time  0.447167
2021-09-25 19:44:30.490104 : Epoch 10, Batch    643, Loss  0.845428, Average Loss  0.854728, Time  0.445865
2021-09-25 19:44:36.508024 : Epoch 10, Batch    644, Loss  0.858494, Average Loss  0.854677, Time  0.445085
2021-09-25 19:44:42.535149 : Epoch 10, Batch    645, Loss  0.848300, Average Loss  0.854593, Time  0.443055
2021-09-25 19:44:48.554316 : Epoch 10, Batch    646, Loss  0.854512, Average Loss  0.854605, Time  0.443728
2021-09-25 19:44:54.584508 : Epoch 10, Batch    647, Loss  0.857770, Average Loss  0.854601, Time  0.445400
2021-09-25 19:45:06.181244 : Epoch 10, Batch    648, Loss  0.850957, Average Loss  0.854663, Time  0.457959
2021-09-25 19:49:51.949836 : CheckPoint: Validation Loss  0.00014737, Best Loss  0.00014615
2021-09-25 19:49:57.993635 : Epoch 10, Batch    649, Loss  0.835794, Average Loss  0.854502, Time  0.446351
2021-09-25 19:50:04.014604 : Epoch 10, Batch    650, Loss  0.862671, Average Loss  0.854513, Time  0.449178
2021-09-25 19:50:09.978593 : Epoch 10, Batch    651, Loss  0.834547, Average Loss  0.854398, Time  0.444072
2021-09-25 19:50:15.976211 : Epoch 10, Batch    652, Loss  0.864557, Average Loss  0.854369, Time  0.445887
2021-09-25 19:50:21.995537 : Epoch 10, Batch    653, Loss  0.869957, Average Loss  0.854443, Time  0.460813
2021-09-25 19:50:27.993440 : Epoch 10, Batch    654, Loss  0.867182, Average Loss  0.854556, Time  0.445286
2021-09-25 19:50:33.984860 : Epoch 10, Batch    655, Loss  0.859613, Average Loss  0.854493, Time  0.444765
2021-09-25 19:50:39.974188 : Epoch 10, Batch    656, Loss  0.860969, Average Loss  0.854640, Time  0.445704
2021-09-25 19:50:45.976149 : Epoch 10, Batch    657, Loss  0.849626, Average Loss  0.854661, Time  0.443601
2021-09-25 19:50:51.970826 : Epoch 10, Batch    658, Loss  0.846681, Average Loss  0.854621, Time  0.444580
2021-09-25 19:50:57.957059 : Epoch 10, Batch    659, Loss  0.857472, Average Loss  0.854707, Time  0.445244
2021-09-25 19:51:03.960884 : Epoch 10, Batch    660, Loss  0.849006, Average Loss  0.854657, Time  0.445471
2021-09-25 19:51:09.979822 : Epoch 10, Batch    661, Loss  0.861095, Average Loss  0.854632, Time  0.458464
2021-09-25 19:51:15.979446 : Epoch 10, Batch    662, Loss  0.860641, Average Loss  0.854618, Time  0.448534
2021-09-25 19:51:21.964415 : Epoch 10, Batch    663, Loss  0.861456, Average Loss  0.854735, Time  0.451583
2021-09-25 19:51:27.956764 : Epoch 10, Batch    664, Loss  0.861297, Average Loss  0.854748, Time  0.447524
2021-09-25 19:51:33.964378 : Epoch 10, Batch    665, Loss  0.841866, Average Loss  0.854683, Time  0.443910
2021-09-25 19:51:39.962829 : Epoch 10, Batch    666, Loss  0.862849, Average Loss  0.854752, Time  0.448327
2021-09-25 19:51:45.960365 : Epoch 10, Batch    667, Loss  0.857213, Average Loss  0.854671, Time  0.444442
2021-09-25 19:51:51.961941 : Epoch 10, Batch    668, Loss  0.866446, Average Loss  0.854713, Time  0.457055
2021-09-25 19:51:57.975836 : Epoch 10, Batch    669, Loss  0.850975, Average Loss  0.854663, Time  0.447959
2021-09-25 19:52:03.973683 : Epoch 10, Batch    670, Loss  0.864653, Average Loss  0.854755, Time  0.444307
2021-09-25 19:52:09.957805 : Epoch 10, Batch    671, Loss  0.860158, Average Loss  0.854716, Time  0.444471
2021-09-25 19:52:15.956561 : Epoch 10, Batch    672, Loss  0.847781, Average Loss  0.854672, Time  0.445779
2021-09-25 19:52:21.946305 : Epoch 10, Batch    673, Loss  0.845686, Average Loss  0.854662, Time  0.446320
2021-09-25 19:52:27.956597 : Epoch 10, Batch    674, Loss  0.857187, Average Loss  0.854703, Time  0.444993
2021-09-25 19:52:33.954442 : Epoch 10, Batch    675, Loss  0.841701, Average Loss  0.854542, Time  0.445063
2021-09-25 19:52:39.960436 : Epoch 10, Batch    676, Loss  0.852554, Average Loss  0.854546, Time  0.457666
2021-09-25 19:52:45.956549 : Epoch 10, Batch    677, Loss  0.853267, Average Loss  0.854599, Time  0.445956
2021-09-25 19:52:51.952525 : Epoch 10, Batch    678, Loss  0.840890, Average Loss  0.854568, Time  0.443835
2021-09-25 19:52:57.942342 : Epoch 10, Batch    679, Loss  0.838024, Average Loss  0.854450, Time  0.444598
2021-09-25 19:53:03.927549 : Epoch 10, Batch    680, Loss  0.849037, Average Loss  0.854458, Time  0.445360
2021-09-25 19:53:09.925839 : Epoch 10, Batch    681, Loss  0.857464, Average Loss  0.854467, Time  0.444613
2021-09-25 19:53:15.916459 : Epoch 10, Batch    682, Loss  0.839935, Average Loss  0.854388, Time  0.445059
2021-09-25 19:53:21.919830 : Epoch 10, Batch    683, Loss  0.842406, Average Loss  0.854277, Time  0.454223
2021-09-25 19:53:27.915973 : Epoch 10, Batch    684, Loss  0.841788, Average Loss  0.854213, Time  0.445498
2021-09-25 19:53:33.913147 : Epoch 10, Batch    685, Loss  0.863852, Average Loss  0.854256, Time  0.445380
2021-09-25 19:53:39.898352 : Epoch 10, Batch    686, Loss  0.847969, Average Loss  0.854167, Time  0.444059
2021-09-25 19:53:45.892295 : Epoch 10, Batch    687, Loss  0.854569, Average Loss  0.854164, Time  0.444370
2021-09-25 19:53:51.887300 : Epoch 10, Batch    688, Loss  0.843137, Average Loss  0.854111, Time  0.443676
2021-09-25 19:53:57.892615 : Epoch 10, Batch    689, Loss  0.852068, Average Loss  0.854087, Time  0.444367
2021-09-25 19:54:03.877792 : Epoch 10, Batch    690, Loss  0.858922, Average Loss  0.854111, Time  0.447715
2021-09-25 19:54:09.879214 : Epoch 10, Batch    691, Loss  0.856427, Average Loss  0.854149, Time  0.453992
2021-09-25 19:54:15.877245 : Epoch 10, Batch    692, Loss  0.866044, Average Loss  0.854185, Time  0.444508
2021-09-25 19:54:21.880799 : Epoch 10, Batch    693, Loss  0.847570, Average Loss  0.854079, Time  0.446314
2021-09-25 19:54:27.880144 : Epoch 10, Batch    694, Loss  0.858732, Average Loss  0.854093, Time  0.446369
2021-09-25 19:54:33.881724 : Epoch 10, Batch    695, Loss  0.860911, Average Loss  0.854142, Time  0.448647
2021-09-25 19:54:39.871482 : Epoch 10, Batch    696, Loss  0.847219, Average Loss  0.854047, Time  0.445003
2021-09-25 19:54:45.875118 : Epoch 10, Batch    697, Loss  0.854597, Average Loss  0.854018, Time  0.445725
2021-09-25 19:54:51.860720 : Epoch 10, Batch    698, Loss  0.859158, Average Loss  0.854064, Time  0.460201
2021-09-25 19:54:57.857465 : Epoch 10, Batch    699, Loss  0.845597, Average Loss  0.854015, Time  0.444377
2021-09-25 19:55:03.841492 : Epoch 10, Batch    700, Loss  0.838990, Average Loss  0.853887, Time  0.450421
2021-09-25 19:55:09.854840 : Epoch 10, Batch    701, Loss  0.854036, Average Loss  0.853949, Time  0.443977
2021-09-25 19:55:15.856594 : Epoch 10, Batch    702, Loss  0.853934, Average Loss  0.853975, Time  0.444137
2021-09-25 19:55:21.832606 : Epoch 10, Batch    703, Loss  0.857206, Average Loss  0.853982, Time  0.444340
2021-09-25 19:55:27.820227 : Epoch 10, Batch    704, Loss  0.839780, Average Loss  0.853934, Time  0.448822
2021-09-25 19:55:33.821461 : Epoch 10, Batch    705, Loss  0.851069, Average Loss  0.853874, Time  0.448470
2021-09-25 19:55:39.811983 : Epoch 10, Batch    706, Loss  0.849638, Average Loss  0.853841, Time  0.449155
2021-09-25 19:55:45.808050 : Epoch 10, Batch    707, Loss  0.849467, Average Loss  0.853877, Time  0.445997
2021-09-25 19:55:51.804403 : Epoch 10, Batch    708, Loss  0.853404, Average Loss  0.853884, Time  0.445681
2021-09-25 19:55:57.820982 : Epoch 10, Batch    709, Loss  0.845747, Average Loss  0.853881, Time  0.444832
2021-09-25 19:56:03.823475 : Epoch 10, Batch    710, Loss  0.853083, Average Loss  0.853848, Time  0.446080
2021-09-25 19:56:09.819813 : Epoch 10, Batch    711, Loss  0.839010, Average Loss  0.853779, Time  0.449093
2021-09-25 19:56:15.818829 : Epoch 10, Batch    712, Loss  0.840923, Average Loss  0.853649, Time  0.451499
2021-09-25 19:56:21.849485 : Epoch 10, Batch    713, Loss  0.856539, Average Loss  0.853713, Time  0.458685
2021-09-25 19:56:27.857953 : Epoch 10, Batch    714, Loss  0.853134, Average Loss  0.853657, Time  0.446170
2021-09-25 19:56:33.847895 : Epoch 10, Batch    715, Loss  0.851744, Average Loss  0.853664, Time  0.444927
2021-09-25 19:56:39.844882 : Epoch 10, Batch    716, Loss  0.843468, Average Loss  0.853549, Time  0.444560
2021-09-25 19:56:45.853541 : Epoch 10, Batch    717, Loss  0.848439, Average Loss  0.853531, Time  0.444274
2021-09-25 19:56:51.845750 : Epoch 10, Batch    718, Loss  0.854256, Average Loss  0.853466, Time  0.446073
2021-09-25 19:56:57.837808 : Epoch 10, Batch    719, Loss  0.842199, Average Loss  0.853435, Time  0.443988
2021-09-25 19:57:03.845453 : Epoch 10, Batch    720, Loss  0.859597, Average Loss  0.853443, Time  0.443617
2021-09-25 19:57:09.844569 : Epoch 10, Batch    721, Loss  0.839152, Average Loss  0.853396, Time  0.456099
2021-09-25 19:57:15.826531 : Epoch 10, Batch    722, Loss  0.855323, Average Loss  0.853355, Time  0.446567
2021-09-25 19:57:21.815665 : Epoch 10, Batch    723, Loss  0.840629, Average Loss  0.853246, Time  0.447133
2021-09-25 19:57:27.810803 : Epoch 10, Batch    724, Loss  0.839253, Average Loss  0.853147, Time  0.448145
2021-09-25 19:57:33.822534 : Epoch 10, Batch    725, Loss  0.842560, Average Loss  0.853076, Time  0.446765
2021-09-25 19:57:39.817918 : Epoch 10, Batch    726, Loss  0.855059, Average Loss  0.853116, Time  0.445148
2021-09-25 19:57:45.807331 : Epoch 10, Batch    727, Loss  0.843102, Average Loss  0.853007, Time  0.445543
2021-09-25 19:57:51.815373 : Epoch 10, Batch    728, Loss  0.851345, Average Loss  0.853052, Time  0.461219
2021-09-25 19:57:57.804003 : Epoch 10, Batch    729, Loss  0.864320, Average Loss  0.853167, Time  0.448061
2021-09-25 19:58:03.795070 : Epoch 10, Batch    730, Loss  0.849367, Average Loss  0.853114, Time  0.444118
2021-09-25 19:58:09.782379 : Epoch 10, Batch    731, Loss  0.847545, Average Loss  0.853025, Time  0.446750
2021-09-25 19:58:15.769715 : Epoch 10, Batch    732, Loss  0.860568, Average Loss  0.853106, Time  0.445123
2021-09-25 19:58:21.807594 : Epoch 10, Batch    733, Loss  0.855565, Average Loss  0.853104, Time  0.446691
2021-09-25 19:58:27.812627 : Epoch 10, Batch    734, Loss  0.853851, Average Loss  0.853046, Time  0.450508
2021-09-25 19:58:33.802342 : Epoch 10, Batch    735, Loss  0.847188, Average Loss  0.852977, Time  0.445742
2021-09-25 19:58:39.798334 : Epoch 10, Batch    736, Loss  0.848794, Average Loss  0.852980, Time  0.455405
2021-09-25 19:58:45.813997 : Epoch 10, Batch    737, Loss  0.821505, Average Loss  0.852751, Time  0.446125
2021-09-25 19:58:51.803986 : Epoch 10, Batch    738, Loss  0.849670, Average Loss  0.852754, Time  0.446963
2021-09-25 19:58:57.796745 : Epoch 10, Batch    739, Loss  0.864798, Average Loss  0.852887, Time  0.445179
2021-09-25 19:59:03.781676 : Epoch 10, Batch    740, Loss  0.840294, Average Loss  0.852723, Time  0.444214
2021-09-25 19:59:09.788464 : Epoch 10, Batch    741, Loss  0.831115, Average Loss  0.852671, Time  0.446306
2021-09-25 19:59:15.778484 : Epoch 10, Batch    742, Loss  0.849829, Average Loss  0.852732, Time  0.444293
2021-09-25 19:59:21.785761 : Epoch 10, Batch    743, Loss  0.854581, Average Loss  0.852738, Time  0.461226
2021-09-25 19:59:27.770832 : Epoch 10, Batch    744, Loss  0.862011, Average Loss  0.852810, Time  0.444903
2021-09-25 19:59:33.768710 : Epoch 10, Batch    745, Loss  0.852858, Average Loss  0.852740, Time  0.446650
2021-09-25 19:59:39.766280 : Epoch 10, Batch    746, Loss  0.860646, Average Loss  0.852728, Time  0.447224
2021-09-25 19:59:45.771762 : Epoch 10, Batch    747, Loss  0.848672, Average Loss  0.852687, Time  0.444763
2021-09-25 19:59:51.775954 : Epoch 10, Batch    748, Loss  0.844272, Average Loss  0.852603, Time  0.444718
2021-09-25 20:04:38.929818 : CheckPoint: Validation Loss  0.00014660, Best Loss  0.00014615
2021-09-25 20:04:45.002983 : Epoch 10, Batch    749, Loss  0.827827, Average Loss  0.852466, Time  0.459168
2021-09-25 20:04:50.991654 : Epoch 10, Batch    750, Loss  0.866026, Average Loss  0.852581, Time  0.444337
2021-09-25 20:04:56.966835 : Epoch 10, Batch    751, Loss  0.850100, Average Loss  0.852552, Time  0.443973
2021-09-25 20:05:02.958428 : Epoch 10, Batch    752, Loss  0.842561, Average Loss  0.852464, Time  0.448642
2021-09-25 20:05:08.959827 : Epoch 10, Batch    753, Loss  0.851849, Average Loss  0.852471, Time  0.444128
2021-09-25 20:05:14.973556 : Epoch 10, Batch    754, Loss  0.862985, Average Loss  0.852459, Time  0.444815
2021-09-25 20:05:20.971192 : Epoch 10, Batch    755, Loss  0.861225, Average Loss  0.852530, Time  0.445311
2021-09-25 20:05:26.986677 : Epoch 10, Batch    756, Loss  0.856234, Average Loss  0.852517, Time  0.460031
2021-09-25 20:05:32.987057 : Epoch 10, Batch    757, Loss  0.845685, Average Loss  0.852478, Time  0.445056
2021-09-25 20:05:38.980629 : Epoch 10, Batch    758, Loss  0.861995, Average Loss  0.852458, Time  0.448178
2021-09-25 20:05:44.985429 : Epoch 10, Batch    759, Loss  0.862596, Average Loss  0.852477, Time  0.444634
2021-09-25 20:05:50.969961 : Epoch 10, Batch    760, Loss  0.853274, Average Loss  0.852533, Time  0.444970
2021-09-25 20:05:56.957137 : Epoch 10, Batch    761, Loss  0.866524, Average Loss  0.852591, Time  0.445668
2021-09-25 20:06:02.947993 : Epoch 10, Batch    762, Loss  0.854758, Average Loss  0.852532, Time  0.446061
2021-09-25 20:06:08.931689 : Epoch 10, Batch    763, Loss  0.852086, Average Loss  0.852503, Time  0.445838
2021-09-25 20:06:14.936038 : Epoch 10, Batch    764, Loss  0.856185, Average Loss  0.852481, Time  0.460220
2021-09-25 20:06:20.914442 : Epoch 10, Batch    765, Loss  0.849444, Average Loss  0.852513, Time  0.444475
2021-09-25 20:06:26.911891 : Epoch 10, Batch    766, Loss  0.829901, Average Loss  0.852368, Time  0.448808
2021-09-25 20:06:32.912525 : Epoch 10, Batch    767, Loss  0.848754, Average Loss  0.852337, Time  0.445199
2021-09-25 20:06:38.915455 : Epoch 10, Batch    768, Loss  0.864613, Average Loss  0.852390, Time  0.446192
2021-09-25 20:06:44.920366 : Epoch 10, Batch    769, Loss  0.846645, Average Loss  0.852376, Time  0.446213
2021-09-25 20:06:50.907690 : Epoch 10, Batch    770, Loss  0.853580, Average Loss  0.852336, Time  0.444360
2021-09-25 20:06:56.917773 : Epoch 10, Batch    771, Loss  0.875295, Average Loss  0.852413, Time  0.457744
2021-09-25 20:07:02.920093 : Epoch 10, Batch    772, Loss  0.843272, Average Loss  0.852374, Time  0.450237
2021-09-25 20:07:08.926214 : Epoch 10, Batch    773, Loss  0.850840, Average Loss  0.852442, Time  0.443479
2021-09-25 20:07:14.937691 : Epoch 10, Batch    774, Loss  0.844670, Average Loss  0.852431, Time  0.449716
2021-09-25 20:07:20.921667 : Epoch 10, Batch    775, Loss  0.845583, Average Loss  0.852362, Time  0.444261
2021-09-25 20:07:26.929891 : Epoch 10, Batch    776, Loss  0.862237, Average Loss  0.852356, Time  0.446842
2021-09-25 20:07:32.929828 : Epoch 10, Batch    777, Loss  0.859114, Average Loss  0.852401, Time  0.445391
2021-09-25 20:07:38.924057 : Epoch 10, Batch    778, Loss  0.853626, Average Loss  0.852427, Time  0.443476
2021-09-25 20:07:44.945054 : Epoch 10, Batch    779, Loss  0.826907, Average Loss  0.852276, Time  0.460464
2021-09-25 20:07:50.957785 : Epoch 10, Batch    780, Loss  0.854069, Average Loss  0.852300, Time  0.444302
2021-09-25 20:07:56.947047 : Epoch 10, Batch    781, Loss  0.855222, Average Loss  0.852305, Time  0.443739
2021-09-25 20:08:02.936595 : Epoch 10, Batch    782, Loss  0.861208, Average Loss  0.852386, Time  0.444355
2021-09-25 20:08:08.945788 : Epoch 10, Batch    783, Loss  0.857725, Average Loss  0.852331, Time  0.446539
2021-09-25 20:08:14.942639 : Epoch 10, Batch    784, Loss  0.847258, Average Loss  0.852339, Time  0.444616
2021-09-25 20:08:20.954040 : Epoch 10, Batch    785, Loss  0.850131, Average Loss  0.852367, Time  0.444740
2021-09-25 20:08:26.971188 : Epoch 10, Batch    786, Loss  0.855732, Average Loss  0.852322, Time  0.457563
2021-09-25 20:08:33.014859 : Epoch 10, Batch    787, Loss  0.861414, Average Loss  0.852398, Time  0.445483
2021-09-25 20:08:39.012899 : Epoch 10, Batch    788, Loss  0.871961, Average Loss  0.852415, Time  0.446904
2021-09-25 20:08:44.986474 : Epoch 10, Batch    789, Loss  0.858243, Average Loss  0.852418, Time  0.443425
2021-09-25 20:08:50.978824 : Epoch 10, Batch    790, Loss  0.854031, Average Loss  0.852391, Time  0.445038
2021-09-25 20:08:56.975807 : Epoch 10, Batch    791, Loss  0.852766, Average Loss  0.852430, Time  0.445090
2021-09-25 20:09:02.971348 : Epoch 10, Batch    792, Loss  0.861401, Average Loss  0.852501, Time  0.445404
2021-09-25 20:09:08.986505 : Epoch 10, Batch    793, Loss  0.848870, Average Loss  0.852455, Time  0.446554
2021-09-25 20:09:14.994088 : Epoch 10, Batch    794, Loss  0.849925, Average Loss  0.852372, Time  0.453852
2021-09-25 20:09:21.003953 : Epoch 10, Batch    795, Loss  0.865067, Average Loss  0.852419, Time  0.446275
2021-09-25 20:09:27.025363 : Epoch 10, Batch    796, Loss  0.858837, Average Loss  0.852422, Time  0.445560
2021-09-25 20:09:33.002150 : Epoch 10, Batch    797, Loss  0.863880, Average Loss  0.852467, Time  0.443986
2021-09-25 20:09:38.996502 : Epoch 10, Batch    798, Loss  0.854945, Average Loss  0.852531, Time  0.448777
2021-09-25 20:09:45.000235 : Epoch 10, Batch    799, Loss  0.836119, Average Loss  0.852533, Time  0.445132
2021-09-25 20:09:50.983318 : Epoch 10, Batch    800, Loss  0.837252, Average Loss  0.852388, Time  0.444885
2021-09-25 20:09:56.999830 : Epoch 10, Batch    801, Loss  0.851274, Average Loss  0.852382, Time  0.460933
2021-09-25 20:10:02.987064 : Epoch 10, Batch    802, Loss  0.854858, Average Loss  0.852423, Time  0.447808
2021-09-25 20:10:08.972813 : Epoch 10, Batch    803, Loss  0.835769, Average Loss  0.852389, Time  0.443332
2021-09-25 20:10:14.954903 : Epoch 10, Batch    804, Loss  0.842948, Average Loss  0.852372, Time  0.445955
2021-09-25 20:10:20.953094 : Epoch 10, Batch    805, Loss  0.851499, Average Loss  0.852370, Time  0.444237
2021-09-25 20:10:26.932078 : Epoch 10, Batch    806, Loss  0.855465, Average Loss  0.852333, Time  0.445559
2021-09-25 20:10:32.929507 : Epoch 10, Batch    807, Loss  0.837780, Average Loss  0.852285, Time  0.447654
2021-09-25 20:10:38.916848 : Epoch 10, Batch    808, Loss  0.859962, Average Loss  0.852303, Time  0.444700
2021-09-25 20:10:44.914236 : Epoch 10, Batch    809, Loss  0.836830, Average Loss  0.852218, Time  0.453532
2021-09-25 20:10:50.906952 : Epoch 10, Batch    810, Loss  0.863302, Average Loss  0.852380, Time  0.444190
2021-09-25 20:10:56.895961 : Epoch 10, Batch    811, Loss  0.867055, Average Loss  0.852403, Time  0.445472
2021-09-25 20:11:02.896422 : Epoch 10, Batch    812, Loss  0.836960, Average Loss  0.852227, Time  0.443346
2021-09-25 20:11:08.906357 : Epoch 10, Batch    813, Loss  0.850023, Average Loss  0.852247, Time  0.446356
2021-09-25 20:11:14.904445 : Epoch 10, Batch    814, Loss  0.854635, Average Loss  0.852216, Time  0.447293
2021-09-25 20:11:20.914489 : Epoch 10, Batch    815, Loss  0.835629, Average Loss  0.852080, Time  0.444650
2021-09-25 20:11:26.937842 : Epoch 10, Batch    816, Loss  0.844892, Average Loss  0.851932, Time  0.463778
2021-09-25 20:11:32.937768 : Epoch 10, Batch    817, Loss  0.843460, Average Loss  0.851922, Time  0.444741
2021-09-25 20:11:38.936870 : Epoch 10, Batch    818, Loss  0.856741, Average Loss  0.851951, Time  0.445073
2021-09-25 20:11:44.941084 : Epoch 10, Batch    819, Loss  0.854119, Average Loss  0.851925, Time  0.444606
2021-09-25 20:11:50.951623 : Epoch 10, Batch    820, Loss  0.858119, Average Loss  0.851979, Time  0.446709
2021-09-25 20:11:56.961677 : Epoch 10, Batch    821, Loss  0.858561, Average Loss  0.852106, Time  0.443996
2021-09-25 20:12:02.976325 : Epoch 10, Batch    822, Loss  0.858414, Average Loss  0.852219, Time  0.451129
2021-09-25 20:12:08.953458 : Epoch 10, Batch    823, Loss  0.853509, Average Loss  0.852157, Time  0.443936
2021-09-25 20:12:14.950187 : Epoch 10, Batch    824, Loss  0.857853, Average Loss  0.852156, Time  0.456575
2021-09-25 20:12:20.947410 : Epoch 10, Batch    825, Loss  0.862737, Average Loss  0.852123, Time  0.445903
2021-09-25 20:12:26.942002 : Epoch 10, Batch    826, Loss  0.844162, Average Loss  0.852138, Time  0.444045
2021-09-25 20:12:32.958240 : Epoch 10, Batch    827, Loss  0.852974, Average Loss  0.852129, Time  0.444873
2021-09-25 20:12:38.956647 : Epoch 10, Batch    828, Loss  0.848953, Average Loss  0.852106, Time  0.444002
2021-09-25 20:12:44.944202 : Epoch 10, Batch    829, Loss  0.839829, Average Loss  0.852115, Time  0.444809
2021-09-25 20:12:50.940936 : Epoch 10, Batch    830, Loss  0.843109, Average Loss  0.852068, Time  0.444160
2021-09-25 20:12:56.928152 : Epoch 10, Batch    831, Loss  0.844802, Average Loss  0.852037, Time  0.453501
2021-09-25 20:13:02.913809 : Epoch 10, Batch    832, Loss  0.866503, Average Loss  0.852089, Time  0.445961
2021-09-25 20:13:08.896767 : Epoch 10, Batch    833, Loss  0.854033, Average Loss  0.852104, Time  0.445988
2021-09-25 20:13:14.892445 : Epoch 10, Batch    834, Loss  0.856009, Average Loss  0.852125, Time  0.443752
2021-09-25 20:13:20.900075 : Epoch 10, Batch    835, Loss  0.841690, Average Loss  0.852018, Time  0.445692
2021-09-25 20:13:26.897199 : Epoch 10, Batch    836, Loss  0.845739, Average Loss  0.851918, Time  0.445692
2021-09-25 20:13:32.884023 : Epoch 10, Batch    837, Loss  0.859656, Average Loss  0.852012, Time  0.446947
2021-09-25 20:13:38.873171 : Epoch 10, Batch    838, Loss  0.846545, Average Loss  0.851971, Time  0.443877
2021-09-25 20:13:44.884018 : Epoch 10, Batch    839, Loss  0.851157, Average Loss  0.851951, Time  0.456167
2021-09-25 20:13:50.874576 : Epoch 10, Batch    840, Loss  0.852093, Average Loss  0.851887, Time  0.445298
2021-09-25 20:13:56.851807 : Epoch 10, Batch    841, Loss  0.855228, Average Loss  0.851847, Time  0.444339
2021-09-25 20:14:02.841881 : Epoch 10, Batch    842, Loss  0.850641, Average Loss  0.851871, Time  0.443227
2021-09-25 20:14:08.839163 : Epoch 10, Batch    843, Loss  0.856659, Average Loss  0.851927, Time  0.443751
2021-09-25 20:14:14.824099 : Epoch 10, Batch    844, Loss  0.857354, Average Loss  0.851921, Time  0.445581
2021-09-25 20:14:20.824271 : Epoch 10, Batch    845, Loss  0.858094, Average Loss  0.851970, Time  0.445803
2021-09-25 20:14:26.815408 : Epoch 10, Batch    846, Loss  0.861800, Average Loss  0.852007, Time  0.458443
2021-09-25 20:14:32.796630 : Epoch 10, Batch    847, Loss  0.870224, Average Loss  0.852069, Time  0.444938
2021-09-25 20:14:38.775624 : Epoch 10, Batch    848, Loss  0.860356, Average Loss  0.852116, Time  0.444191
2021-09-25 20:19:24.742703 : CheckPoint: Validation Loss  0.00014780, Best Loss  0.00014615
2021-09-25 20:19:30.776037 : Epoch 10, Batch    849, Loss  0.840382, Average Loss  0.852139, Time  0.446395
2021-09-25 20:19:36.778361 : Epoch 10, Batch    850, Loss  0.854660, Average Loss  0.852099, Time  0.444335
2021-09-25 20:19:42.764493 : Epoch 10, Batch    851, Loss  0.850166, Average Loss  0.852177, Time  0.444244
2021-09-25 20:19:48.769493 : Epoch 10, Batch    852, Loss  0.852293, Average Loss  0.852116, Time  0.460608
2021-09-25 20:19:54.764619 : Epoch 10, Batch    853, Loss  0.851925, Average Loss  0.852026, Time  0.444417
2021-09-25 20:20:00.750432 : Epoch 10, Batch    854, Loss  0.844821, Average Loss  0.851914, Time  0.444233
2021-09-25 20:20:06.752490 : Epoch 10, Batch    855, Loss  0.855409, Average Loss  0.851893, Time  0.444173
2021-09-25 20:20:12.774411 : Epoch 10, Batch    856, Loss  0.838021, Average Loss  0.851778, Time  0.444978
2021-09-25 20:20:18.760898 : Epoch 10, Batch    857, Loss  0.865070, Average Loss  0.851855, Time  0.444275
2021-09-25 20:20:24.761351 : Epoch 10, Batch    858, Loss  0.838390, Average Loss  0.851814, Time  0.445017
2021-09-25 20:20:30.753820 : Epoch 10, Batch    859, Loss  0.871578, Average Loss  0.851884, Time  0.445510
2021-09-25 20:20:36.769788 : Epoch 10, Batch    860, Loss  0.873931, Average Loss  0.852009, Time  0.459223
2021-09-25 20:20:42.755787 : Epoch 10, Batch    861, Loss  0.850163, Average Loss  0.851954, Time  0.445062
2021-09-25 20:20:48.739667 : Epoch 10, Batch    862, Loss  0.865747, Average Loss  0.851980, Time  0.451743
2021-09-25 20:20:54.755667 : Epoch 10, Batch    863, Loss  0.859329, Average Loss  0.851969, Time  0.443339
2021-09-25 20:21:00.749559 : Epoch 10, Batch    864, Loss  0.858402, Average Loss  0.851955, Time  0.443413
2021-09-25 20:21:06.739046 : Epoch 10, Batch    865, Loss  0.873820, Average Loss  0.852114, Time  0.447582
2021-09-25 20:21:12.736869 : Epoch 10, Batch    866, Loss  0.854261, Average Loss  0.852071, Time  0.444995
2021-09-25 20:21:18.755254 : Epoch 10, Batch    867, Loss  0.853286, Average Loss  0.852052, Time  0.458278
2021-09-25 20:21:24.786210 : Epoch 10, Batch    868, Loss  0.851734, Average Loss  0.851978, Time  0.450573
2021-09-25 20:21:30.788695 : Epoch 10, Batch    869, Loss  0.844871, Average Loss  0.851948, Time  0.444400
2021-09-25 20:21:36.794392 : Epoch 10, Batch    870, Loss  0.843893, Average Loss  0.851844, Time  0.447906
2021-09-25 20:21:42.787929 : Epoch 10, Batch    871, Loss  0.840318, Average Loss  0.851745, Time  0.444153
2021-09-25 20:21:48.823938 : Epoch 10, Batch    872, Loss  0.863363, Average Loss  0.851823, Time  0.444428
2021-09-25 20:21:54.829874 : Epoch 10, Batch    873, Loss  0.841815, Average Loss  0.851803, Time  0.444701
2021-09-25 20:22:00.818338 : Epoch 10, Batch    874, Loss  0.854766, Average Loss  0.851791, Time  0.443523
2021-09-25 20:22:06.831568 : Epoch 10, Batch    875, Loss  0.846232, Average Loss  0.851814, Time  0.461122
2021-09-25 20:22:12.817245 : Epoch 10, Batch    876, Loss  0.865789, Average Loss  0.851880, Time  0.445049
2021-09-25 20:22:18.814371 : Epoch 10, Batch    877, Loss  0.839430, Average Loss  0.851811, Time  0.444775
2021-09-25 20:22:24.816181 : Epoch 10, Batch    878, Loss  0.858161, Average Loss  0.851897, Time  0.446138
2021-09-25 20:22:30.817685 : Epoch 10, Batch    879, Loss  0.871428, Average Loss  0.852064, Time  0.445059
2021-09-25 20:22:36.809775 : Epoch 10, Batch    880, Loss  0.846251, Average Loss  0.852050, Time  0.445257
2021-09-25 20:22:42.813771 : Epoch 10, Batch    881, Loss  0.858484, Average Loss  0.852055, Time  0.444064
2021-09-25 20:22:48.812695 : Epoch 10, Batch    882, Loss  0.851967, Average Loss  0.852116, Time  0.457806
2021-09-25 20:22:54.812798 : Epoch 10, Batch    883, Loss  0.848536, Average Loss  0.852146, Time  0.445762
2021-09-25 20:23:00.824895 : Epoch 10, Batch    884, Loss  0.862675, Average Loss  0.852251, Time  0.453187
2021-09-25 20:23:06.823750 : Epoch 10, Batch    885, Loss  0.857358, Average Loss  0.852218, Time  0.443650
2021-09-25 20:23:12.818779 : Epoch 10, Batch    886, Loss  0.857344, Average Loss  0.852265, Time  0.444425
2021-09-25 20:23:18.819318 : Epoch 10, Batch    887, Loss  0.840778, Average Loss  0.852196, Time  0.443375
2021-09-25 20:23:24.804961 : Epoch 10, Batch    888, Loss  0.846024, Average Loss  0.852211, Time  0.446169
2021-09-25 20:23:30.798840 : Epoch 10, Batch    889, Loss  0.840285, Average Loss  0.852152, Time  0.444148
2021-09-25 20:23:36.802619 : Epoch 10, Batch    890, Loss  0.845646, Average Loss  0.852085, Time  0.459243
2021-09-25 20:23:42.792767 : Epoch 10, Batch    891, Loss  0.830180, Average Loss  0.851954, Time  0.444316
2021-09-25 20:23:48.783663 : Epoch 10, Batch    892, Loss  0.862054, Average Loss  0.851934, Time  0.444168
2021-09-25 20:23:54.773579 : Epoch 10, Batch    893, Loss  0.864585, Average Loss  0.852019, Time  0.445477
2021-09-25 20:24:00.755424 : Epoch 10, Batch    894, Loss  0.862193, Average Loss  0.852036, Time  0.445679
2021-09-25 20:24:06.747209 : Epoch 10, Batch    895, Loss  0.852968, Average Loss  0.851997, Time  0.444166
2021-09-25 20:24:12.742799 : Epoch 10, Batch    896, Loss  0.842980, Average Loss  0.851976, Time  0.445637
2021-09-25 20:24:18.752834 : Epoch 10, Batch    897, Loss  0.833920, Average Loss  0.851872, Time  0.458709
2021-09-25 20:24:24.747222 : Epoch 10, Batch    898, Loss  0.846718, Average Loss  0.851810, Time  0.443774
2021-09-25 20:24:30.744809 : Epoch 10, Batch    899, Loss  0.850617, Average Loss  0.851835, Time  0.445751
2021-09-25 20:24:36.733419 : Epoch 10, Batch    900, Loss  0.859027, Average Loss  0.851935, Time  0.445243
2021-09-25 20:24:42.727370 : Epoch 10, Batch    901, Loss  0.860682, Average Loss  0.851968, Time  0.444319
2021-09-25 20:24:48.705810 : Epoch 10, Batch    902, Loss  0.848040, Average Loss  0.851939, Time  0.443614
2021-09-25 20:24:54.715261 : Epoch 10, Batch    903, Loss  0.847487, Average Loss  0.851890, Time  0.445044
2021-09-25 20:25:00.706838 : Epoch 10, Batch    904, Loss  0.857943, Average Loss  0.851981, Time  0.448163
2021-09-25 20:25:06.725428 : Epoch 10, Batch    905, Loss  0.851827, Average Loss  0.851985, Time  0.458862
2021-09-25 20:25:12.724034 : Epoch 10, Batch    906, Loss  0.855421, Average Loss  0.852014, Time  0.445865
2021-09-25 20:25:18.704719 : Epoch 10, Batch    907, Loss  0.851967, Average Loss  0.852026, Time  0.444287
2021-09-25 20:25:24.709427 : Epoch 10, Batch    908, Loss  0.842016, Average Loss  0.851969, Time  0.445102
2021-09-25 20:25:30.692279 : Epoch 10, Batch    909, Loss  0.852190, Average Loss  0.852002, Time  0.444813
2021-09-25 20:25:36.700112 : Epoch 10, Batch    910, Loss  0.839465, Average Loss  0.851934, Time  0.446253
2021-09-25 20:25:42.695032 : Epoch 10, Batch    911, Loss  0.858467, Average Loss  0.852031, Time  0.444817
2021-09-25 20:25:48.703316 : Epoch 10, Batch    912, Loss  0.865655, Average Loss  0.852155, Time  0.453241
2021-09-25 20:25:54.713147 : Epoch 10, Batch    913, Loss  0.853398, Average Loss  0.852139, Time  0.449545
2021-09-25 20:26:00.694067 : Epoch 10, Batch    914, Loss  0.852592, Average Loss  0.852136, Time  0.444268
2021-09-25 20:26:06.698688 : Epoch 10, Batch    915, Loss  0.851960, Average Loss  0.852137, Time  0.445880
2021-09-25 20:26:12.686268 : Epoch 10, Batch    916, Loss  0.837966, Average Loss  0.852110, Time  0.443504
2021-09-25 20:26:18.687060 : Epoch 10, Batch    917, Loss  0.850742, Average Loss  0.852121, Time  0.445382
2021-09-25 20:26:24.665361 : Epoch 10, Batch    918, Loss  0.851117, Average Loss  0.852105, Time  0.446789
2021-09-25 20:26:30.669048 : Epoch 10, Batch    919, Loss  0.872035, Average Loss  0.852255, Time  0.450135
2021-09-25 20:26:36.704239 : Epoch 10, Batch    920, Loss  0.864930, Average Loss  0.852281, Time  0.457968
2021-09-25 20:26:42.688787 : Epoch 10, Batch    921, Loss  0.857763, Average Loss  0.852374, Time  0.448438
2021-09-25 20:26:48.691709 : Epoch 10, Batch    922, Loss  0.850513, Average Loss  0.852350, Time  0.445816
2021-09-25 20:26:54.689949 : Epoch 10, Batch    923, Loss  0.849895, Average Loss  0.852397, Time  0.443634
2021-09-25 20:27:00.681517 : Epoch 10, Batch    924, Loss  0.859161, Average Loss  0.852496, Time  0.447742
2021-09-25 20:27:06.691124 : Epoch 10, Batch    925, Loss  0.859968, Average Loss  0.852583, Time  0.448010
2021-09-25 20:27:12.678343 : Epoch 10, Batch    926, Loss  0.861147, Average Loss  0.852614, Time  0.443568
2021-09-25 20:27:18.701676 : Epoch 10, Batch    927, Loss  0.840322, Average Loss  0.852600, Time  0.460911
2021-09-25 20:27:24.698638 : Epoch 10, Batch    928, Loss  0.849203, Average Loss  0.852589, Time  0.444618
2021-09-25 20:27:24.731276 : Saving Model after 10-th Epoch.
2021-09-25 20:27:25.525320 : Epoch Finished.
2021-09-27 00:02:41.648423 : Building dataset train from orignial text documents
2021-09-27 00:05:58.514678 : Finish Loading dataset train
2021-09-27 00:05:58.566139 : Data Shuffle
2021-09-27 00:05:58.600976 : Start Shuffling
2021-09-27 00:05:59.917202 : Finish Shuffling
2021-09-27 00:06:00.005474 : Generate Batch
2021-09-27 00:06:00.391659 : Building dataset valid from orignial text documents
2021-09-27 00:06:09.282917 : Finish Loading dataset valid
2021-09-27 00:06:09.316296 : Data Shuffle
2021-09-27 00:06:09.363592 : Start Shuffling
2021-09-27 00:06:09.501801 : Finish Shuffling
2021-09-27 00:06:09.546669 : Generate Batch
2021-09-27 00:06:09.614833 : There are 928 batches per epoch
2021-09-27 00:06:09.652370 : Batch Shuffled
2021-09-27 00:06:15.788053 : Epoch  1, Batch      1, Loss  1.886327, Average Loss  1.886327, Time  0.657254
2021-09-27 00:06:21.731795 : Epoch  1, Batch      2, Loss  1.890300, Average Loss  1.888314, Time  0.452730
2021-09-27 00:06:27.655158 : Epoch  1, Batch      3, Loss  1.886290, Average Loss  1.887639, Time  0.440209
2021-09-27 00:06:33.582036 : Epoch  1, Batch      4, Loss  1.886153, Average Loss  1.887267, Time  0.440268
2021-09-27 00:06:39.511010 : Epoch  1, Batch      5, Loss  1.889356, Average Loss  1.887685, Time  0.442604
2021-09-27 00:06:45.446931 : Epoch  1, Batch      6, Loss  1.880989, Average Loss  1.886569, Time  0.442856
2021-09-27 00:06:51.393579 : Epoch  1, Batch      7, Loss  1.879586, Average Loss  1.885572, Time  0.442243
2021-09-27 00:06:57.304869 : Epoch  1, Batch      8, Loss  1.870750, Average Loss  1.883719, Time  0.440249
2021-09-27 00:07:03.260112 : Epoch  1, Batch      9, Loss  1.864574, Average Loss  1.881592, Time  0.454249
2021-09-27 00:07:09.198797 : Epoch  1, Batch     10, Loss  1.858876, Average Loss  1.879320, Time  0.439900
2021-09-27 00:07:15.112843 : Epoch  1, Batch     11, Loss  1.851921, Average Loss  1.876829, Time  0.440009
2021-09-27 00:07:21.020636 : Epoch  1, Batch     12, Loss  1.839704, Average Loss  1.873735, Time  0.439626
2021-09-27 00:07:26.949686 : Epoch  1, Batch     13, Loss  1.827096, Average Loss  1.870148, Time  0.440537
2021-09-27 00:07:32.871595 : Epoch  1, Batch     14, Loss  1.823620, Average Loss  1.866824, Time  0.442188
2021-09-27 00:07:38.784366 : Epoch  1, Batch     15, Loss  1.810015, Average Loss  1.863037, Time  0.440751
2021-09-27 00:07:44.701348 : Epoch  1, Batch     16, Loss  1.800843, Average Loss  1.859150, Time  0.440885
2021-09-27 00:07:50.626066 : Epoch  1, Batch     17, Loss  1.786314, Average Loss  1.854866, Time  0.446328
2021-09-27 00:07:56.562299 : Epoch  1, Batch     18, Loss  1.777917, Average Loss  1.850591, Time  0.439840
2021-09-27 00:08:02.504802 : Epoch  1, Batch     19, Loss  1.767694, Average Loss  1.846228, Time  0.440977
2021-09-27 00:08:08.433872 : Epoch  1, Batch     20, Loss  1.758049, Average Loss  1.841819, Time  0.441331
2021-09-27 00:08:14.365317 : Epoch  1, Batch     21, Loss  1.745080, Average Loss  1.837212, Time  0.440758
2021-09-27 00:08:20.281232 : Epoch  1, Batch     22, Loss  1.742728, Average Loss  1.832917, Time  0.441280
2021-09-27 00:08:26.206773 : Epoch  1, Batch     23, Loss  1.733107, Average Loss  1.828578, Time  0.443346
2021-09-27 00:08:32.142503 : Epoch  1, Batch     24, Loss  1.725529, Average Loss  1.824284, Time  0.440630
2021-09-27 00:08:38.072801 : Epoch  1, Batch     25, Loss  1.714583, Average Loss  1.819896, Time  0.448483
2021-09-27 00:08:44.016178 : Epoch  1, Batch     26, Loss  1.711260, Average Loss  1.815718, Time  0.445956
2021-09-27 00:08:49.951317 : Epoch  1, Batch     27, Loss  1.710649, Average Loss  1.811826, Time  0.440062
2021-09-27 00:08:55.889819 : Epoch  1, Batch     28, Loss  1.699828, Average Loss  1.807826, Time  0.442988
2021-09-27 00:09:01.818775 : Epoch  1, Batch     29, Loss  1.694857, Average Loss  1.803931, Time  0.441345
2021-09-27 00:09:07.759116 : Epoch  1, Batch     30, Loss  1.695065, Average Loss  1.800302, Time  0.442078
2021-09-27 00:09:13.692906 : Epoch  1, Batch     31, Loss  1.698635, Average Loss  1.797022, Time  0.443321
2021-09-27 00:09:19.602863 : Epoch  1, Batch     32, Loss  1.688762, Average Loss  1.793639, Time  0.440305
2021-09-27 00:09:25.535762 : Epoch  1, Batch     33, Loss  1.687896, Average Loss  1.790435, Time  0.450068
2021-09-27 00:09:31.463895 : Epoch  1, Batch     34, Loss  1.677975, Average Loss  1.787127, Time  0.440838
2021-09-27 00:09:37.386711 : Epoch  1, Batch     35, Loss  1.694603, Average Loss  1.784484, Time  0.443020
2021-09-27 00:09:43.315748 : Epoch  1, Batch     36, Loss  1.687754, Average Loss  1.781797, Time  0.439724
2021-09-27 00:09:49.239084 : Epoch  1, Batch     37, Loss  1.679560, Average Loss  1.779034, Time  0.440480
2021-09-27 00:09:55.148067 : Epoch  1, Batch     38, Loss  1.683323, Average Loss  1.776515, Time  0.440267
2021-09-27 00:10:01.061897 : Epoch  1, Batch     39, Loss  1.687327, Average Loss  1.774228, Time  0.441165
2021-09-27 00:10:06.993982 : Epoch  1, Batch     40, Loss  1.676703, Average Loss  1.771790, Time  0.441096
2021-09-27 00:10:12.923847 : Epoch  1, Batch     41, Loss  1.666220, Average Loss  1.769215, Time  0.456264
2021-09-27 00:10:18.857864 : Epoch  1, Batch     42, Loss  1.675665, Average Loss  1.766988, Time  0.439030
2021-09-27 00:10:24.770532 : Epoch  1, Batch     43, Loss  1.672501, Average Loss  1.764790, Time  0.439597
2021-09-27 00:10:30.707891 : Epoch  1, Batch     44, Loss  1.676762, Average Loss  1.762790, Time  0.441425
2021-09-27 00:10:36.647872 : Epoch  1, Batch     45, Loss  1.671905, Average Loss  1.760770, Time  0.442068
2021-09-27 00:10:42.579024 : Epoch  1, Batch     46, Loss  1.669364, Average Loss  1.758783, Time  0.440584
2021-09-27 00:10:48.503834 : Epoch  1, Batch     47, Loss  1.671515, Average Loss  1.756926, Time  0.442727
2021-09-27 00:10:54.434768 : Epoch  1, Batch     48, Loss  1.674444, Average Loss  1.755208, Time  0.441748
2021-09-27 00:11:00.364409 : Epoch  1, Batch     49, Loss  1.666534, Average Loss  1.753398, Time  0.455121
2021-09-27 00:11:06.292254 : Epoch  1, Batch     50, Loss  1.670914, Average Loss  1.751748, Time  0.440414
2021-09-27 00:11:12.220859 : Epoch  1, Batch     51, Loss  1.665474, Average Loss  1.750057, Time  0.440738
2021-09-27 00:11:18.136368 : Epoch  1, Batch     52, Loss  1.665634, Average Loss  1.748433, Time  0.440846
2021-09-27 00:11:24.059235 : Epoch  1, Batch     53, Loss  1.658488, Average Loss  1.746736, Time  0.442273
2021-09-27 00:11:29.979847 : Epoch  1, Batch     54, Loss  1.657686, Average Loss  1.745087, Time  0.439716
2021-09-27 00:11:35.898719 : Epoch  1, Batch     55, Loss  1.664136, Average Loss  1.743615, Time  0.441824
2021-09-27 00:11:41.811400 : Epoch  1, Batch     56, Loss  1.659977, Average Loss  1.742122, Time  0.442465
2021-09-27 00:11:47.740673 : Epoch  1, Batch     57, Loss  1.664710, Average Loss  1.740764, Time  0.451604
2021-09-27 00:11:53.664668 : Epoch  1, Batch     58, Loss  1.665401, Average Loss  1.739464, Time  0.439627
2021-09-27 00:11:59.596281 : Epoch  1, Batch     59, Loss  1.660730, Average Loss  1.738130, Time  0.442156
2021-09-27 00:12:05.507593 : Epoch  1, Batch     60, Loss  1.662958, Average Loss  1.736877, Time  0.439126
2021-09-27 00:12:11.430767 : Epoch  1, Batch     61, Loss  1.659592, Average Loss  1.735610, Time  0.439505
2021-09-27 00:12:17.342385 : Epoch  1, Batch     62, Loss  1.659186, Average Loss  1.734377, Time  0.439754
2021-09-27 00:12:23.259986 : Epoch  1, Batch     63, Loss  1.663691, Average Loss  1.733255, Time  0.440778
2021-09-27 00:12:29.177768 : Epoch  1, Batch     64, Loss  1.664034, Average Loss  1.732174, Time  0.440578
2021-09-27 00:12:35.119818 : Epoch  1, Batch     65, Loss  1.666993, Average Loss  1.731171, Time  0.458127
2021-09-27 00:12:41.050544 : Epoch  1, Batch     66, Loss  1.656680, Average Loss  1.730042, Time  0.445485
2021-09-27 00:12:46.971463 : Epoch  1, Batch     67, Loss  1.666937, Average Loss  1.729100, Time  0.439821
2021-09-27 00:12:52.895154 : Epoch  1, Batch     68, Loss  1.680199, Average Loss  1.728381, Time  0.439543
2021-09-27 00:12:58.819785 : Epoch  1, Batch     69, Loss  1.657817, Average Loss  1.727359, Time  0.441144
2021-09-27 00:13:04.739911 : Epoch  1, Batch     70, Loss  1.661763, Average Loss  1.726422, Time  0.439522
2021-09-27 00:13:10.657007 : Epoch  1, Batch     71, Loss  1.657484, Average Loss  1.725451, Time  0.440598
2021-09-27 00:13:16.573877 : Epoch  1, Batch     72, Loss  1.655203, Average Loss  1.724475, Time  0.439228
2021-09-27 00:13:22.491184 : Epoch  1, Batch     73, Loss  1.658583, Average Loss  1.723572, Time  0.449289
2021-09-27 00:13:28.407834 : Epoch  1, Batch     74, Loss  1.659328, Average Loss  1.722704, Time  0.440178
2021-09-27 00:13:34.334221 : Epoch  1, Batch     75, Loss  1.654953, Average Loss  1.721801, Time  0.442100
2021-09-27 00:13:40.253821 : Epoch  1, Batch     76, Loss  1.653385, Average Loss  1.720901, Time  0.439914
2021-09-27 00:13:46.159853 : Epoch  1, Batch     77, Loss  1.661757, Average Loss  1.720132, Time  0.439627
2021-09-27 00:13:52.086048 : Epoch  1, Batch     78, Loss  1.662445, Average Loss  1.719393, Time  0.447559
2021-09-27 00:13:58.007921 : Epoch  1, Batch     79, Loss  1.674284, Average Loss  1.718822, Time  0.442365
2021-09-27 00:14:03.942425 : Epoch  1, Batch     80, Loss  1.663298, Average Loss  1.718128, Time  0.444389
2021-09-27 00:14:09.867373 : Epoch  1, Batch     81, Loss  1.658818, Average Loss  1.717396, Time  0.456289
2021-09-27 00:14:15.792592 : Epoch  1, Batch     82, Loss  1.664810, Average Loss  1.716754, Time  0.443135
2021-09-27 00:14:21.711804 : Epoch  1, Batch     83, Loss  1.662367, Average Loss  1.716099, Time  0.440657
2021-09-27 00:14:27.631276 : Epoch  1, Batch     84, Loss  1.658355, Average Loss  1.715412, Time  0.444123
2021-09-27 00:14:33.564088 : Epoch  1, Batch     85, Loss  1.663910, Average Loss  1.714806, Time  0.441520
2021-09-27 00:14:39.516148 : Epoch  1, Batch     86, Loss  1.651830, Average Loss  1.714073, Time  0.440069
2021-09-27 00:14:45.443876 : Epoch  1, Batch     87, Loss  1.661898, Average Loss  1.713474, Time  0.441354
2021-09-27 00:14:51.376920 : Epoch  1, Batch     88, Loss  1.656460, Average Loss  1.712826, Time  0.439321
2021-09-27 00:14:57.325359 : Epoch  1, Batch     89, Loss  1.655895, Average Loss  1.712186, Time  0.457873
2021-09-27 00:15:03.250936 : Epoch  1, Batch     90, Loss  1.655806, Average Loss  1.711560, Time  0.439406
2021-09-27 00:15:09.167771 : Epoch  1, Batch     91, Loss  1.659284, Average Loss  1.710985, Time  0.438771
2021-09-27 00:15:15.086826 : Epoch  1, Batch     92, Loss  1.662856, Average Loss  1.710462, Time  0.439008
2021-09-27 00:15:20.999820 : Epoch  1, Batch     93, Loss  1.659101, Average Loss  1.709910, Time  0.441737
2021-09-27 00:15:26.917673 : Epoch  1, Batch     94, Loss  1.652254, Average Loss  1.709296, Time  0.439098
2021-09-27 00:15:32.872536 : Epoch  1, Batch     95, Loss  1.653246, Average Loss  1.708706, Time  0.440488
2021-09-27 00:15:38.819234 : Epoch  1, Batch     96, Loss  1.660562, Average Loss  1.708205, Time  0.445316
2021-09-27 00:15:44.769267 : Epoch  1, Batch     97, Loss  1.661780, Average Loss  1.707726, Time  0.452950
2021-09-27 00:15:50.713829 : Epoch  1, Batch     98, Loss  1.656360, Average Loss  1.707202, Time  0.440762
2021-09-27 00:15:56.656893 : Epoch  1, Batch     99, Loss  1.648846, Average Loss  1.706613, Time  0.443611
2021-09-27 00:16:02.615435 : Epoch  1, Batch    100, Loss  1.657984, Average Loss  1.706126, Time  0.439606
2021-09-27 00:20:47.868996 : CheckPoint: Validation Loss  0.00028858, Best Loss  0.00028858
2021-09-27 00:20:47.901967 : Best Model Updated
2021-09-27 00:20:54.720509 : Epoch  1, Batch    101, Loss  1.663064, Average Loss  1.705700, Time  0.442471
2021-09-27 00:21:00.679223 : Epoch  1, Batch    102, Loss  1.657430, Average Loss  1.705227, Time  0.457730
2021-09-27 00:21:06.624891 : Epoch  1, Batch    103, Loss  1.646023, Average Loss  1.704652, Time  0.441968
2021-09-27 00:21:12.547777 : Epoch  1, Batch    104, Loss  1.654909, Average Loss  1.704174, Time  0.441177
2021-09-27 00:21:18.486988 : Epoch  1, Batch    105, Loss  1.641583, Average Loss  1.703578, Time  0.442621
2021-09-27 00:21:24.431897 : Epoch  1, Batch    106, Loss  1.651314, Average Loss  1.703085, Time  0.440734
2021-09-27 00:21:30.355205 : Epoch  1, Batch    107, Loss  1.647241, Average Loss  1.702563, Time  0.439409
2021-09-27 00:21:36.312552 : Epoch  1, Batch    108, Loss  1.648605, Average Loss  1.702063, Time  0.442348
2021-09-27 00:21:42.245388 : Epoch  1, Batch    109, Loss  1.644145, Average Loss  1.701532, Time  0.442273
2021-09-27 00:21:48.195524 : Epoch  1, Batch    110, Loss  1.643610, Average Loss  1.701005, Time  0.451231
2021-09-27 00:21:54.145965 : Epoch  1, Batch    111, Loss  1.643005, Average Loss  1.700483, Time  0.440380
2021-09-27 00:22:00.116360 : Epoch  1, Batch    112, Loss  1.645294, Average Loss  1.699990, Time  0.442134
2021-09-27 00:22:06.111353 : Epoch  1, Batch    113, Loss  1.638946, Average Loss  1.699450, Time  0.440589
2021-09-27 00:22:12.105997 : Epoch  1, Batch    114, Loss  1.645171, Average Loss  1.698974, Time  0.439751
2021-09-27 00:22:18.028126 : Epoch  1, Batch    115, Loss  1.628337, Average Loss  1.698359, Time  0.440569
2021-09-27 00:22:23.959120 : Epoch  1, Batch    116, Loss  1.628512, Average Loss  1.697757, Time  0.440791
2021-09-27 00:22:29.894299 : Epoch  1, Batch    117, Loss  1.627081, Average Loss  1.697153, Time  0.439561
2021-09-27 00:22:35.862340 : Epoch  1, Batch    118, Loss  1.627963, Average Loss  1.696567, Time  0.455184
2021-09-27 00:22:41.811662 : Epoch  1, Batch    119, Loss  1.610169, Average Loss  1.695841, Time  0.443091
2021-09-27 00:22:47.766591 : Epoch  1, Batch    120, Loss  1.602950, Average Loss  1.695067, Time  0.440385
2021-09-27 00:22:53.702017 : Epoch  1, Batch    121, Loss  1.603920, Average Loss  1.694313, Time  0.440550
2021-09-27 00:22:59.633346 : Epoch  1, Batch    122, Loss  1.606555, Average Loss  1.693594, Time  0.439973
2021-09-27 00:23:05.558793 : Epoch  1, Batch    123, Loss  1.603914, Average Loss  1.692865, Time  0.438888
2021-09-27 00:23:11.498322 : Epoch  1, Batch    124, Loss  1.593094, Average Loss  1.692060, Time  0.438952
2021-09-27 00:23:17.436915 : Epoch  1, Batch    125, Loss  1.593465, Average Loss  1.691272, Time  0.451840
2021-09-27 00:23:23.418732 : Epoch  1, Batch    126, Loss  1.600028, Average Loss  1.690547, Time  0.440258
2021-09-27 00:23:29.430856 : Epoch  1, Batch    127, Loss  1.598920, Average Loss  1.689826, Time  0.442958
2021-09-27 00:23:35.444799 : Epoch  1, Batch    128, Loss  1.604120, Average Loss  1.689156, Time  0.441992
2021-09-27 00:23:41.360873 : Epoch  1, Batch    129, Loss  1.582942, Average Loss  1.688333, Time  0.443247
2021-09-27 00:23:47.292943 : Epoch  1, Batch    130, Loss  1.605160, Average Loss  1.687693, Time  0.440423
2021-09-27 00:23:53.212869 : Epoch  1, Batch    131, Loss  1.566605, Average Loss  1.686769, Time  0.439980
2021-09-27 00:23:59.155700 : Epoch  1, Batch    132, Loss  1.590253, Average Loss  1.686038, Time  0.439096
2021-09-27 00:24:05.123660 : Epoch  1, Batch    133, Loss  1.576876, Average Loss  1.685217, Time  0.448599
2021-09-27 00:24:11.105734 : Epoch  1, Batch    134, Loss  1.584649, Average Loss  1.684466, Time  0.439888
2021-09-27 00:24:17.048309 : Epoch  1, Batch    135, Loss  1.587177, Average Loss  1.683746, Time  0.440016
2021-09-27 00:24:22.991088 : Epoch  1, Batch    136, Loss  1.574950, Average Loss  1.682946, Time  0.439337
2021-09-27 00:24:28.906502 : Epoch  1, Batch    137, Loss  1.574940, Average Loss  1.682157, Time  0.438785
2021-09-27 00:24:34.854962 : Epoch  1, Batch    138, Loss  1.563279, Average Loss  1.681296, Time  0.443359
2021-09-27 00:24:40.785545 : Epoch  1, Batch    139, Loss  1.561867, Average Loss  1.680437, Time  0.442417
2021-09-27 00:24:46.708464 : Epoch  1, Batch    140, Loss  1.564274, Average Loss  1.679607, Time  0.439889
2021-09-27 00:24:52.702499 : Epoch  1, Batch    141, Loss  1.575445, Average Loss  1.678868, Time  0.452693
2021-09-27 00:24:58.686890 : Epoch  1, Batch    142, Loss  1.564777, Average Loss  1.678065, Time  0.440367
2021-09-27 00:25:04.677521 : Epoch  1, Batch    143, Loss  1.560236, Average Loss  1.677241, Time  0.441306
2021-09-27 00:25:10.622133 : Epoch  1, Batch    144, Loss  1.551433, Average Loss  1.676367, Time  0.441486
2021-09-27 00:25:16.563142 : Epoch  1, Batch    145, Loss  1.550572, Average Loss  1.675500, Time  0.439731
2021-09-27 00:25:22.514508 : Epoch  1, Batch    146, Loss  1.560356, Average Loss  1.674711, Time  0.441850
2021-09-27 00:25:28.449819 : Epoch  1, Batch    147, Loss  1.557328, Average Loss  1.673912, Time  0.439081
2021-09-27 00:25:34.402797 : Epoch  1, Batch    148, Loss  1.544648, Average Loss  1.673039, Time  0.456686
2021-09-27 00:25:40.340263 : Epoch  1, Batch    149, Loss  1.555633, Average Loss  1.672251, Time  0.441228
2021-09-27 00:25:46.253823 : Epoch  1, Batch    150, Loss  1.533236, Average Loss  1.671324, Time  0.439989
2021-09-27 00:25:52.178812 : Epoch  1, Batch    151, Loss  1.532802, Average Loss  1.670407, Time  0.442645
2021-09-27 00:25:58.116820 : Epoch  1, Batch    152, Loss  1.543725, Average Loss  1.669574, Time  0.439058
2021-09-27 00:26:04.059819 : Epoch  1, Batch    153, Loss  1.517501, Average Loss  1.668580, Time  0.439322
2021-09-27 00:26:10.005862 : Epoch  1, Batch    154, Loss  1.530712, Average Loss  1.667684, Time  0.442375
2021-09-27 00:26:15.974774 : Epoch  1, Batch    155, Loss  1.523155, Average Loss  1.666752, Time  0.438574
2021-09-27 00:26:21.977569 : Epoch  1, Batch    156, Loss  1.510207, Average Loss  1.665748, Time  0.453211
2021-09-27 00:26:28.008796 : Epoch  1, Batch    157, Loss  1.510550, Average Loss  1.664760, Time  0.442358
2021-09-27 00:26:33.986420 : Epoch  1, Batch    158, Loss  1.507074, Average Loss  1.663762, Time  0.442100
2021-09-27 00:26:39.959729 : Epoch  1, Batch    159, Loss  1.509178, Average Loss  1.662790, Time  0.439433
2021-09-27 00:26:45.917384 : Epoch  1, Batch    160, Loss  1.515352, Average Loss  1.661868, Time  0.441177
2021-09-27 00:26:51.873370 : Epoch  1, Batch    161, Loss  1.502598, Average Loss  1.660879, Time  0.439920
2021-09-27 00:26:57.803719 : Epoch  1, Batch    162, Loss  1.512479, Average Loss  1.659963, Time  0.440481
2021-09-27 00:27:03.751770 : Epoch  1, Batch    163, Loss  1.506125, Average Loss  1.659019, Time  0.439130
2021-09-27 00:27:09.704481 : Epoch  1, Batch    164, Loss  1.491208, Average Loss  1.657996, Time  0.452111
2021-09-27 00:27:15.629078 : Epoch  1, Batch    165, Loss  1.503431, Average Loss  1.657059, Time  0.442223
2021-09-27 00:27:21.563768 : Epoch  1, Batch    166, Loss  1.505140, Average Loss  1.656144, Time  0.440578
2021-09-27 00:27:27.501263 : Epoch  1, Batch    167, Loss  1.494865, Average Loss  1.655178, Time  0.440159
2021-09-27 00:27:33.436928 : Epoch  1, Batch    168, Loss  1.492747, Average Loss  1.654211, Time  0.440641
2021-09-27 00:27:39.415480 : Epoch  1, Batch    169, Loss  1.497263, Average Loss  1.653283, Time  0.442222
2021-09-27 00:27:45.435751 : Epoch  1, Batch    170, Loss  1.507524, Average Loss  1.652425, Time  0.440844
2021-09-27 00:27:51.462018 : Epoch  1, Batch    171, Loss  1.488778, Average Loss  1.651468, Time  0.454602
2021-09-27 00:27:57.403044 : Epoch  1, Batch    172, Loss  1.509169, Average Loss  1.650641, Time  0.440069
2021-09-27 00:28:03.347870 : Epoch  1, Batch    173, Loss  1.505325, Average Loss  1.649801, Time  0.438826
2021-09-27 00:28:09.259404 : Epoch  1, Batch    174, Loss  1.513337, Average Loss  1.649017, Time  0.440503
2021-09-27 00:28:15.213797 : Epoch  1, Batch    175, Loss  1.499738, Average Loss  1.648164, Time  0.439542
2021-09-27 00:28:21.169169 : Epoch  1, Batch    176, Loss  1.488415, Average Loss  1.647256, Time  0.439326
2021-09-27 00:28:27.115346 : Epoch  1, Batch    177, Loss  1.500730, Average Loss  1.646428, Time  0.440750
2021-09-27 00:28:33.069979 : Epoch  1, Batch    178, Loss  1.497813, Average Loss  1.645593, Time  0.438883
2021-09-27 00:28:39.002063 : Epoch  1, Batch    179, Loss  1.502077, Average Loss  1.644791, Time  0.450782
2021-09-27 00:28:44.931813 : Epoch  1, Batch    180, Loss  1.495867, Average Loss  1.643964, Time  0.440801
2021-09-27 00:28:50.855767 : Epoch  1, Batch    181, Loss  1.501135, Average Loss  1.643175, Time  0.441043
2021-09-27 00:28:56.788321 : Epoch  1, Batch    182, Loss  1.510553, Average Loss  1.642446, Time  0.443231
2021-09-27 00:29:02.700620 : Epoch  1, Batch    183, Loss  1.491854, Average Loss  1.641623, Time  0.440772
2021-09-27 00:29:08.660599 : Epoch  1, Batch    184, Loss  1.493038, Average Loss  1.640816, Time  0.442384
2021-09-27 00:29:14.651822 : Epoch  1, Batch    185, Loss  1.497711, Average Loss  1.640042, Time  0.438909
2021-09-27 00:29:20.638671 : Epoch  1, Batch    186, Loss  1.498997, Average Loss  1.639284, Time  0.439296
2021-09-27 00:29:26.590399 : Epoch  1, Batch    187, Loss  1.485793, Average Loss  1.638463, Time  0.452068
2021-09-27 00:29:32.518654 : Epoch  1, Batch    188, Loss  1.495617, Average Loss  1.637703, Time  0.438834
2021-09-27 00:29:38.446587 : Epoch  1, Batch    189, Loss  1.504677, Average Loss  1.637000, Time  0.441569
2021-09-27 00:29:44.362519 : Epoch  1, Batch    190, Loss  1.488662, Average Loss  1.636219, Time  0.442275
2021-09-27 00:29:50.282164 : Epoch  1, Batch    191, Loss  1.483408, Average Loss  1.635419, Time  0.440387
2021-09-27 00:29:56.215113 : Epoch  1, Batch    192, Loss  1.493971, Average Loss  1.634682, Time  0.439959
2021-09-27 00:30:02.146445 : Epoch  1, Batch    193, Loss  1.506881, Average Loss  1.634020, Time  0.439825
2021-09-27 00:30:08.078437 : Epoch  1, Batch    194, Loss  1.483501, Average Loss  1.633244, Time  0.441386
2021-09-27 00:30:14.024309 : Epoch  1, Batch    195, Loss  1.484866, Average Loss  1.632483, Time  0.453620
2021-09-27 00:30:19.958659 : Epoch  1, Batch    196, Loss  1.491533, Average Loss  1.631764, Time  0.440038
2021-09-27 00:30:25.922261 : Epoch  1, Batch    197, Loss  1.492665, Average Loss  1.631058, Time  0.441227
2021-09-27 00:30:31.949726 : Epoch  1, Batch    198, Loss  1.495285, Average Loss  1.630372, Time  0.439110
2021-09-27 00:30:37.991813 : Epoch  1, Batch    199, Loss  1.488314, Average Loss  1.629658, Time  0.442144
2021-09-27 00:30:44.014809 : Epoch  1, Batch    200, Loss  1.485434, Average Loss  1.628937, Time  0.438929
2021-09-27 00:35:28.585727 : CheckPoint: Validation Loss  0.00025781, Best Loss  0.00025781
2021-09-27 00:35:28.613343 : Best Model Updated
2021-09-27 00:35:35.264165 : Epoch  1, Batch    201, Loss  1.485085, Average Loss  1.626931, Time  0.454915
2021-09-27 00:35:41.192455 : Epoch  1, Batch    202, Loss  1.487940, Average Loss  1.624919, Time  0.439815
2021-09-27 00:35:47.156795 : Epoch  1, Batch    203, Loss  1.481582, Average Loss  1.622896, Time  0.439982
2021-09-27 00:35:53.096193 : Epoch  1, Batch    204, Loss  1.484435, Average Loss  1.620887, Time  0.439192
2021-09-27 00:35:59.026736 : Epoch  1, Batch    205, Loss  1.482930, Average Loss  1.618855, Time  0.441254
2021-09-27 00:36:04.973452 : Epoch  1, Batch    206, Loss  1.491981, Average Loss  1.616910, Time  0.439856
2021-09-27 00:36:10.895280 : Epoch  1, Batch    207, Loss  1.490789, Average Loss  1.614966, Time  0.440194
2021-09-27 00:36:16.835137 : Epoch  1, Batch    208, Loss  1.483495, Average Loss  1.613030, Time  0.438835
2021-09-27 00:36:22.779907 : Epoch  1, Batch    209, Loss  1.488541, Average Loss  1.611149, Time  0.448965
2021-09-27 00:36:28.720902 : Epoch  1, Batch    210, Loss  1.484615, Average Loss  1.609278, Time  0.439393
2021-09-27 00:36:34.650316 : Epoch  1, Batch    211, Loss  1.472353, Average Loss  1.607380, Time  0.440768
2021-09-27 00:36:40.588668 : Epoch  1, Batch    212, Loss  1.478187, Average Loss  1.605573, Time  0.438961
2021-09-27 00:36:46.524387 : Epoch  1, Batch    213, Loss  1.485810, Average Loss  1.603866, Time  0.439994
2021-09-27 00:36:52.461823 : Epoch  1, Batch    214, Loss  1.485689, Average Loss  1.602177, Time  0.443192
2021-09-27 00:36:58.396203 : Epoch  1, Batch    215, Loss  1.466116, Average Loss  1.600457, Time  0.439323
2021-09-27 00:37:04.331831 : Epoch  1, Batch    216, Loss  1.488582, Average Loss  1.598896, Time  0.452594
2021-09-27 00:37:10.276227 : Epoch  1, Batch    217, Loss  1.480102, Average Loss  1.597365, Time  0.440005
2021-09-27 00:37:16.199821 : Epoch  1, Batch    218, Loss  1.488525, Average Loss  1.595918, Time  0.438402
2021-09-27 00:37:22.127522 : Epoch  1, Batch    219, Loss  1.488581, Average Loss  1.594522, Time  0.440541
2021-09-27 00:37:28.063434 : Epoch  1, Batch    220, Loss  1.482530, Average Loss  1.593145, Time  0.439172
2021-09-27 00:37:33.985012 : Epoch  1, Batch    221, Loss  1.476748, Average Loss  1.591803, Time  0.440404
2021-09-27 00:37:39.901865 : Epoch  1, Batch    222, Loss  1.474209, Average Loss  1.590460, Time  0.441449
2021-09-27 00:37:45.859972 : Epoch  1, Batch    223, Loss  1.489818, Average Loss  1.589244, Time  0.439358
2021-09-27 00:37:51.797989 : Epoch  1, Batch    224, Loss  1.482163, Average Loss  1.588027, Time  0.450092
2021-09-27 00:37:57.724845 : Epoch  1, Batch    225, Loss  1.481934, Average Loss  1.586864, Time  0.440634
2021-09-27 00:38:03.659764 : Epoch  1, Batch    226, Loss  1.470279, Average Loss  1.585659, Time  0.440116
2021-09-27 00:38:09.604452 : Epoch  1, Batch    227, Loss  1.490028, Average Loss  1.584556, Time  0.439225
2021-09-27 00:38:15.540000 : Epoch  1, Batch    228, Loss  1.480760, Average Loss  1.583461, Time  0.439876
2021-09-27 00:38:21.471773 : Epoch  1, Batch    229, Loss  1.471919, Average Loss  1.582346, Time  0.438577
2021-09-27 00:38:27.410709 : Epoch  1, Batch    230, Loss  1.473515, Average Loss  1.581238, Time  0.443083
2021-09-27 00:38:33.341040 : Epoch  1, Batch    231, Loss  1.467285, Average Loss  1.580081, Time  0.438713
2021-09-27 00:38:39.282143 : Epoch  1, Batch    232, Loss  1.469899, Average Loss  1.578987, Time  0.451450
2021-09-27 00:38:45.212816 : Epoch  1, Batch    233, Loss  1.474666, Average Loss  1.577921, Time  0.439232
2021-09-27 00:38:51.139048 : Epoch  1, Batch    234, Loss  1.467674, Average Loss  1.576869, Time  0.438971
2021-09-27 00:38:57.079994 : Epoch  1, Batch    235, Loss  1.482302, Average Loss  1.575808, Time  0.441148
2021-09-27 00:39:03.006012 : Epoch  1, Batch    236, Loss  1.474112, Average Loss  1.574740, Time  0.438859
2021-09-27 00:39:08.948706 : Epoch  1, Batch    237, Loss  1.466379, Average Loss  1.573674, Time  0.442674
2021-09-27 00:39:14.878767 : Epoch  1, Batch    238, Loss  1.469957, Average Loss  1.572607, Time  0.439704
2021-09-27 00:39:20.808705 : Epoch  1, Batch    239, Loss  1.469413, Average Loss  1.571517, Time  0.440567
2021-09-27 00:39:26.765643 : Epoch  1, Batch    240, Loss  1.465267, Average Loss  1.570460, Time  0.453664
2021-09-27 00:39:32.702898 : Epoch  1, Batch    241, Loss  1.475152, Average Loss  1.569505, Time  0.444601
2021-09-27 00:39:38.632816 : Epoch  1, Batch    242, Loss  1.469297, Average Loss  1.568473, Time  0.438565
2021-09-27 00:39:44.556785 : Epoch  1, Batch    243, Loss  1.468443, Average Loss  1.567453, Time  0.439761
2021-09-27 00:39:50.509800 : Epoch  1, Batch    244, Loss  1.473538, Average Loss  1.566437, Time  0.440071
2021-09-27 00:39:56.461019 : Epoch  1, Batch    245, Loss  1.469475, Average Loss  1.565424, Time  0.440807
2021-09-27 00:40:02.409292 : Epoch  1, Batch    246, Loss  1.454375, Average Loss  1.564349, Time  0.443934
2021-09-27 00:40:08.354172 : Epoch  1, Batch    247, Loss  1.457839, Average Loss  1.563281, Time  0.450757
2021-09-27 00:40:14.283802 : Epoch  1, Batch    248, Loss  1.466886, Average Loss  1.562243, Time  0.441103
2021-09-27 00:40:20.229081 : Epoch  1, Batch    249, Loss  1.457720, Average Loss  1.561199, Time  0.439510
2021-09-27 00:40:26.165376 : Epoch  1, Batch    250, Loss  1.454751, Average Loss  1.560118, Time  0.443078
2021-09-27 00:40:32.119454 : Epoch  1, Batch    251, Loss  1.452582, Average Loss  1.559054, Time  0.439831
2021-09-27 00:40:38.071955 : Epoch  1, Batch    252, Loss  1.464363, Average Loss  1.558048, Time  0.441058
2021-09-27 00:40:44.030147 : Epoch  1, Batch    253, Loss  1.466661, Average Loss  1.557088, Time  0.438557
2021-09-27 00:40:49.958359 : Epoch  1, Batch    254, Loss  1.450414, Average Loss  1.556052, Time  0.440960
2021-09-27 00:40:55.901250 : Epoch  1, Batch    255, Loss  1.471149, Average Loss  1.555087, Time  0.454493
2021-09-27 00:41:01.852901 : Epoch  1, Batch    256, Loss  1.455204, Average Loss  1.554063, Time  0.440735
2021-09-27 00:41:07.792074 : Epoch  1, Batch    257, Loss  1.463846, Average Loss  1.553059, Time  0.438848
2021-09-27 00:41:13.771773 : Epoch  1, Batch    258, Loss  1.453640, Average Loss  1.552000, Time  0.439826
2021-09-27 00:41:19.691799 : Epoch  1, Batch    259, Loss  1.468297, Average Loss  1.551038, Time  0.439015
2021-09-27 00:41:25.616783 : Epoch  1, Batch    260, Loss  1.451704, Average Loss  1.549982, Time  0.439210
2021-09-27 00:41:31.544071 : Epoch  1, Batch    261, Loss  1.461929, Average Loss  1.548993, Time  0.442107
2021-09-27 00:41:37.501809 : Epoch  1, Batch    262, Loss  1.459792, Average Loss  1.547996, Time  0.439064
2021-09-27 00:41:43.430683 : Epoch  1, Batch    263, Loss  1.452197, Average Loss  1.546939, Time  0.451238
2021-09-27 00:41:49.349455 : Epoch  1, Batch    264, Loss  1.452443, Average Loss  1.545881, Time  0.441103
2021-09-27 00:41:55.289181 : Epoch  1, Batch    265, Loss  1.458800, Average Loss  1.544840, Time  0.440269
2021-09-27 00:42:01.220758 : Epoch  1, Batch    266, Loss  1.453029, Average Loss  1.543822, Time  0.440275
2021-09-27 00:42:07.151116 : Epoch  1, Batch    267, Loss  1.463112, Average Loss  1.542803, Time  0.439825
2021-09-27 00:42:13.064261 : Epoch  1, Batch    268, Loss  1.456931, Average Loss  1.541686, Time  0.438823
2021-09-27 00:42:18.979673 : Epoch  1, Batch    269, Loss  1.453547, Average Loss  1.540665, Time  0.439793
2021-09-27 00:42:24.885808 : Epoch  1, Batch    270, Loss  1.451820, Average Loss  1.539615, Time  0.438663
2021-09-27 00:42:30.860826 : Epoch  1, Batch    271, Loss  1.442578, Average Loss  1.538541, Time  0.460520
2021-09-27 00:42:36.773564 : Epoch  1, Batch    272, Loss  1.469372, Average Loss  1.537612, Time  0.442378
2021-09-27 00:42:42.682380 : Epoch  1, Batch    273, Loss  1.455836, Average Loss  1.536598, Time  0.442240
2021-09-27 00:42:48.590026 : Epoch  1, Batch    274, Loss  1.450210, Average Loss  1.535552, Time  0.444952
2021-09-27 00:42:54.504460 : Epoch  1, Batch    275, Loss  1.456089, Average Loss  1.534558, Time  0.440238
2021-09-27 00:43:00.459295 : Epoch  1, Batch    276, Loss  1.432596, Average Loss  1.533454, Time  0.440532
2021-09-27 00:43:06.388523 : Epoch  1, Batch    277, Loss  1.443681, Average Loss  1.532364, Time  0.440053
2021-09-27 00:43:12.319452 : Epoch  1, Batch    278, Loss  1.456147, Average Loss  1.531332, Time  0.455952
2021-09-27 00:43:18.240051 : Epoch  1, Batch    279, Loss  1.441570, Average Loss  1.530169, Time  0.438895
2021-09-27 00:43:24.160316 : Epoch  1, Batch    280, Loss  1.440240, Average Loss  1.529053, Time  0.442394
2021-09-27 00:43:30.088880 : Epoch  1, Batch    281, Loss  1.438281, Average Loss  1.527951, Time  0.439086
2021-09-27 00:43:36.004656 : Epoch  1, Batch    282, Loss  1.436391, Average Loss  1.526809, Time  0.441743
2021-09-27 00:43:41.918816 : Epoch  1, Batch    283, Loss  1.448019, Average Loss  1.525737, Time  0.440074
2021-09-27 00:43:47.826104 : Epoch  1, Batch    284, Loss  1.422789, Average Loss  1.524559, Time  0.439265
2021-09-27 00:43:53.739138 : Epoch  1, Batch    285, Loss  1.440322, Average Loss  1.523441, Time  0.442508
2021-09-27 00:43:59.686737 : Epoch  1, Batch    286, Loss  1.433384, Average Loss  1.522349, Time  0.451137
2021-09-27 00:44:05.620799 : Epoch  1, Batch    287, Loss  1.427300, Average Loss  1.521176, Time  0.440902
2021-09-27 00:44:11.541813 : Epoch  1, Batch    288, Loss  1.431753, Average Loss  1.520052, Time  0.438951
2021-09-27 00:44:17.461807 : Epoch  1, Batch    289, Loss  1.437777, Average Loss  1.518962, Time  0.441586
2021-09-27 00:44:23.390285 : Epoch  1, Batch    290, Loss  1.429309, Average Loss  1.517829, Time  0.441141
2021-09-27 00:44:29.320017 : Epoch  1, Batch    291, Loss  1.429626, Average Loss  1.516681, Time  0.439250
2021-09-27 00:44:35.238695 : Epoch  1, Batch    292, Loss  1.426692, Average Loss  1.515500, Time  0.442907
2021-09-27 00:44:41.172085 : Epoch  1, Batch    293, Loss  1.424713, Average Loss  1.514328, Time  0.439058
2021-09-27 00:44:47.095003 : Epoch  1, Batch    294, Loss  1.422590, Average Loss  1.513180, Time  0.451706
2021-09-27 00:44:53.007852 : Epoch  1, Batch    295, Loss  1.421279, Average Loss  1.512020, Time  0.439647
2021-09-27 00:44:58.920676 : Epoch  1, Batch    296, Loss  1.420952, Average Loss  1.510822, Time  0.440978
2021-09-27 00:45:04.864793 : Epoch  1, Batch    297, Loss  1.425916, Average Loss  1.509643, Time  0.441717
2021-09-27 00:45:10.810311 : Epoch  1, Batch    298, Loss  1.422157, Average Loss  1.508472, Time  0.439811
2021-09-27 00:45:16.725227 : Epoch  1, Batch    299, Loss  1.417957, Average Loss  1.507317, Time  0.441258
2021-09-27 00:45:22.652815 : Epoch  1, Batch    300, Loss  1.425142, Average Loss  1.506153, Time  0.438847
2021-09-27 00:50:02.369922 : CheckPoint: Validation Loss  0.00023132, Best Loss  0.00023132
2021-09-27 00:50:02.408490 : Best Model Updated
2021-09-27 00:50:09.015908 : Epoch  1, Batch    301, Loss  1.428009, Average Loss  1.504978, Time  0.452160
2021-09-27 00:50:14.949683 : Epoch  1, Batch    302, Loss  1.409420, Average Loss  1.503738, Time  0.442197
2021-09-27 00:50:20.878195 : Epoch  1, Batch    303, Loss  1.415910, Average Loss  1.502587, Time  0.444220
2021-09-27 00:50:26.813237 : Epoch  1, Batch    304, Loss  1.424193, Average Loss  1.501433, Time  0.439975
2021-09-27 00:50:32.729418 : Epoch  1, Batch    305, Loss  1.420776, Average Loss  1.500329, Time  0.440374
2021-09-27 00:50:38.656793 : Epoch  1, Batch    306, Loss  1.436387, Average Loss  1.499255, Time  0.440420
2021-09-27 00:50:44.589446 : Epoch  1, Batch    307, Loss  1.416971, Average Loss  1.498103, Time  0.442702
2021-09-27 00:50:50.515199 : Epoch  1, Batch    308, Loss  1.402109, Average Loss  1.496871, Time  0.439107
2021-09-27 00:50:56.455808 : Epoch  1, Batch    309, Loss  1.411801, Average Loss  1.495709, Time  0.450319
2021-09-27 00:51:02.363360 : Epoch  1, Batch    310, Loss  1.412830, Average Loss  1.494555, Time  0.442550
2021-09-27 00:51:08.298256 : Epoch  1, Batch    311, Loss  1.405898, Average Loss  1.493370, Time  0.440342
2021-09-27 00:51:14.210875 : Epoch  1, Batch    312, Loss  1.422642, Average Loss  1.492257, Time  0.438739
2021-09-27 00:51:20.138268 : Epoch  1, Batch    313, Loss  1.427455, Average Loss  1.491199, Time  0.440872
2021-09-27 00:51:26.066776 : Epoch  1, Batch    314, Loss  1.416460, Average Loss  1.490056, Time  0.441494
2021-09-27 00:51:31.985848 : Epoch  1, Batch    315, Loss  1.413356, Average Loss  1.488981, Time  0.440330
2021-09-27 00:51:37.912964 : Epoch  1, Batch    316, Loss  1.410914, Average Loss  1.487893, Time  0.440511
2021-09-27 00:51:43.858788 : Epoch  1, Batch    317, Loss  1.403890, Average Loss  1.486777, Time  0.456627
2021-09-27 00:51:49.791834 : Epoch  1, Batch    318, Loss  1.410934, Average Loss  1.485692, Time  0.441204
2021-09-27 00:51:55.708870 : Epoch  1, Batch    319, Loss  1.419963, Average Loss  1.484741, Time  0.439724
2021-09-27 00:52:01.622763 : Epoch  1, Batch    320, Loss  1.407944, Average Loss  1.483765, Time  0.439361
2021-09-27 00:52:07.542661 : Epoch  1, Batch    321, Loss  1.399912, Average Loss  1.482745, Time  0.442205
2021-09-27 00:52:13.473811 : Epoch  1, Batch    322, Loss  1.407513, Average Loss  1.481750, Time  0.440220
2021-09-27 00:52:19.393815 : Epoch  1, Batch    323, Loss  1.401087, Average Loss  1.480736, Time  0.440945
2021-09-27 00:52:25.332322 : Epoch  1, Batch    324, Loss  1.384828, Average Loss  1.479695, Time  0.452804
2021-09-27 00:52:31.274898 : Epoch  1, Batch    325, Loss  1.395185, Average Loss  1.478703, Time  0.442855
2021-09-27 00:52:37.224215 : Epoch  1, Batch    326, Loss  1.402373, Average Loss  1.477715, Time  0.439912
2021-09-27 00:52:43.150653 : Epoch  1, Batch    327, Loss  1.387489, Average Loss  1.476658, Time  0.439158
2021-09-27 00:52:49.068755 : Epoch  1, Batch    328, Loss  1.383633, Average Loss  1.475556, Time  0.440346
2021-09-27 00:52:54.987256 : Epoch  1, Batch    329, Loss  1.392694, Average Loss  1.474604, Time  0.441449
2021-09-27 00:53:00.901376 : Epoch  1, Batch    330, Loss  1.395562, Average Loss  1.473556, Time  0.439520
2021-09-27 00:53:06.818938 : Epoch  1, Batch    331, Loss  1.405514, Average Loss  1.472751, Time  0.439574
2021-09-27 00:53:12.759483 : Epoch  1, Batch    332, Loss  1.394069, Average Loss  1.471770, Time  0.457616
2021-09-27 00:53:18.677523 : Epoch  1, Batch    333, Loss  1.374040, Average Loss  1.470756, Time  0.442352
2021-09-27 00:53:24.599102 : Epoch  1, Batch    334, Loss  1.384118, Average Loss  1.469753, Time  0.439598
2021-09-27 00:53:30.517290 : Epoch  1, Batch    335, Loss  1.384438, Average Loss  1.468739, Time  0.439237
2021-09-27 00:53:36.437738 : Epoch  1, Batch    336, Loss  1.377603, Average Loss  1.467753, Time  0.439645
2021-09-27 00:53:42.367872 : Epoch  1, Batch    337, Loss  1.387628, Average Loss  1.466816, Time  0.439085
2021-09-27 00:53:48.286914 : Epoch  1, Batch    338, Loss  1.350043, Average Loss  1.465750, Time  0.440452
2021-09-27 00:53:54.205218 : Epoch  1, Batch    339, Loss  1.367673, Average Loss  1.464779, Time  0.439706
2021-09-27 00:54:00.141879 : Epoch  1, Batch    340, Loss  1.389737, Average Loss  1.463906, Time  0.453094
2021-09-27 00:54:06.075862 : Epoch  1, Batch    341, Loss  1.371928, Average Loss  1.462889, Time  0.442651
2021-09-27 00:54:12.003773 : Epoch  1, Batch    342, Loss  1.376566, Average Loss  1.461948, Time  0.440177
2021-09-27 00:54:17.929924 : Epoch  1, Batch    343, Loss  1.369023, Average Loss  1.460992, Time  0.440634
2021-09-27 00:54:23.836076 : Epoch  1, Batch    344, Loss  1.387423, Average Loss  1.460171, Time  0.439691
2021-09-27 00:54:29.759757 : Epoch  1, Batch    345, Loss  1.367885, Average Loss  1.459258, Time  0.441256
2021-09-27 00:54:35.684450 : Epoch  1, Batch    346, Loss  1.368966, Average Loss  1.458301, Time  0.438773
2021-09-27 00:54:41.610851 : Epoch  1, Batch    347, Loss  1.366332, Average Loss  1.457346, Time  0.442240
2021-09-27 00:54:47.556967 : Epoch  1, Batch    348, Loss  1.370345, Average Loss  1.456475, Time  0.454388
2021-09-27 00:54:53.484135 : Epoch  1, Batch    349, Loss  1.380450, Average Loss  1.455599, Time  0.441441
2021-09-27 00:54:59.415816 : Epoch  1, Batch    350, Loss  1.369838, Average Loss  1.454782, Time  0.439043
2021-09-27 00:55:05.335192 : Epoch  1, Batch    351, Loss  1.361907, Average Loss  1.453927, Time  0.439265
2021-09-27 00:55:11.255641 : Epoch  1, Batch    352, Loss  1.366870, Average Loss  1.453043, Time  0.442344
2021-09-27 00:55:17.173416 : Epoch  1, Batch    353, Loss  1.374934, Average Loss  1.452330, Time  0.440196
2021-09-27 00:55:23.092909 : Epoch  1, Batch    354, Loss  1.355361, Average Loss  1.451453, Time  0.440828
2021-09-27 00:55:29.025073 : Epoch  1, Batch    355, Loss  1.361671, Average Loss  1.450646, Time  0.439013
2021-09-27 00:55:34.960915 : Epoch  1, Batch    356, Loss  1.346446, Average Loss  1.449827, Time  0.458352
2021-09-27 00:55:40.880761 : Epoch  1, Batch    357, Loss  1.375914, Average Loss  1.449154, Time  0.442246
2021-09-27 00:55:46.808802 : Epoch  1, Batch    358, Loss  1.369035, Average Loss  1.448464, Time  0.439001
2021-09-27 00:55:52.749824 : Epoch  1, Batch    359, Loss  1.361073, Average Loss  1.447723, Time  0.444553
2021-09-27 00:55:58.679610 : Epoch  1, Batch    360, Loss  1.359719, Average Loss  1.446945, Time  0.440679
2021-09-27 00:56:04.619742 : Epoch  1, Batch    361, Loss  1.356927, Average Loss  1.446217, Time  0.443402
2021-09-27 00:56:10.544037 : Epoch  1, Batch    362, Loss  1.344848, Average Loss  1.445379, Time  0.445007
2021-09-27 00:56:16.471374 : Epoch  1, Batch    363, Loss  1.364751, Average Loss  1.444672, Time  0.441161
2021-09-27 00:56:22.436770 : Epoch  1, Batch    364, Loss  1.352795, Average Loss  1.443980, Time  0.454773
2021-09-27 00:56:28.371333 : Epoch  1, Batch    365, Loss  1.363146, Average Loss  1.443278, Time  0.438742
2021-09-27 00:56:34.307816 : Epoch  1, Batch    366, Loss  1.349149, Average Loss  1.442498, Time  0.442721
2021-09-27 00:56:40.228784 : Epoch  1, Batch    367, Loss  1.339682, Average Loss  1.441722, Time  0.438992
2021-09-27 00:56:46.169892 : Epoch  1, Batch    368, Loss  1.355266, Average Loss  1.441035, Time  0.440220
2021-09-27 00:56:52.115800 : Epoch  1, Batch    369, Loss  1.356628, Average Loss  1.440332, Time  0.442973
2021-09-27 00:56:58.048901 : Epoch  1, Batch    370, Loss  1.365771, Average Loss  1.439623, Time  0.440564
2021-09-27 00:57:04.019784 : Epoch  1, Batch    371, Loss  1.339535, Average Loss  1.438877, Time  0.442232
2021-09-27 00:57:09.960338 : Epoch  1, Batch    372, Loss  1.350962, Average Loss  1.438086, Time  0.450650
2021-09-27 00:57:15.887864 : Epoch  1, Batch    373, Loss  1.349986, Average Loss  1.437309, Time  0.439616
2021-09-27 00:57:21.822803 : Epoch  1, Batch    374, Loss  1.352201, Average Loss  1.436503, Time  0.440013
2021-09-27 00:57:27.748779 : Epoch  1, Batch    375, Loss  1.339637, Average Loss  1.435703, Time  0.439119
2021-09-27 00:57:33.678819 : Epoch  1, Batch    376, Loss  1.348373, Average Loss  1.435003, Time  0.439423
2021-09-27 00:57:39.621495 : Epoch  1, Batch    377, Loss  1.336802, Average Loss  1.434183, Time  0.440298
2021-09-27 00:57:45.544802 : Epoch  1, Batch    378, Loss  1.347292, Average Loss  1.433430, Time  0.440959
2021-09-27 00:57:51.477401 : Epoch  1, Batch    379, Loss  1.336940, Average Loss  1.432605, Time  0.442873
2021-09-27 00:57:57.422818 : Epoch  1, Batch    380, Loss  1.348546, Average Loss  1.431868, Time  0.455247
2021-09-27 00:58:03.338142 : Epoch  1, Batch    381, Loss  1.312115, Average Loss  1.430923, Time  0.440009
2021-09-27 00:58:09.259895 : Epoch  1, Batch    382, Loss  1.315659, Average Loss  1.429949, Time  0.441156
2021-09-27 00:58:15.187428 : Epoch  1, Batch    383, Loss  1.331779, Average Loss  1.429148, Time  0.438604
2021-09-27 00:58:21.093753 : Epoch  1, Batch    384, Loss  1.346273, Average Loss  1.428414, Time  0.438673
2021-09-27 00:58:27.024875 : Epoch  1, Batch    385, Loss  1.333366, Average Loss  1.427593, Time  0.439131
2021-09-27 00:58:32.936799 : Epoch  1, Batch    386, Loss  1.335499, Average Loss  1.426775, Time  0.439141
2021-09-27 00:58:38.864822 : Epoch  1, Batch    387, Loss  1.332605, Average Loss  1.426009, Time  0.439224
2021-09-27 00:58:44.821173 : Epoch  1, Batch    388, Loss  1.330590, Average Loss  1.425184, Time  0.456311
2021-09-27 00:58:50.757995 : Epoch  1, Batch    389, Loss  1.335230, Average Loss  1.424337, Time  0.444611
2021-09-27 00:58:56.688686 : Epoch  1, Batch    390, Loss  1.324539, Average Loss  1.423516, Time  0.439178
2021-09-27 00:59:02.597861 : Epoch  1, Batch    391, Loss  1.334817, Average Loss  1.422773, Time  0.440791
2021-09-27 00:59:08.522903 : Epoch  1, Batch    392, Loss  1.344330, Average Loss  1.422025, Time  0.439371
2021-09-27 00:59:14.451080 : Epoch  1, Batch    393, Loss  1.332185, Average Loss  1.421152, Time  0.438937
2021-09-27 00:59:20.370800 : Epoch  1, Batch    394, Loss  1.332213, Average Loss  1.420395, Time  0.439613
2021-09-27 00:59:26.316883 : Epoch  1, Batch    395, Loss  1.342029, Average Loss  1.419681, Time  0.452288
2021-09-27 00:59:32.236791 : Epoch  1, Batch    396, Loss  1.330489, Average Loss  1.418876, Time  0.439039
2021-09-27 00:59:38.170824 : Epoch  1, Batch    397, Loss  1.326399, Average Loss  1.418044, Time  0.438503
2021-09-27 00:59:44.093779 : Epoch  1, Batch    398, Loss  1.327472, Average Loss  1.417205, Time  0.441946
2021-09-27 00:59:50.039802 : Epoch  1, Batch    399, Loss  1.320029, Average Loss  1.416364, Time  0.441453
2021-09-27 00:59:55.974760 : Epoch  1, Batch    400, Loss  1.336336, Average Loss  1.415618, Time  0.442392
2021-09-27 01:04:35.281013 : CheckPoint: Validation Loss  0.00021042, Best Loss  0.00021042
2021-09-27 01:04:35.316456 : Best Model Updated
2021-09-27 01:04:41.920426 : Epoch  1, Batch    401, Loss  1.330917, Average Loss  1.414848, Time  0.440753
2021-09-27 01:04:47.843933 : Epoch  1, Batch    402, Loss  1.333373, Average Loss  1.414075, Time  0.452598
2021-09-27 01:04:53.790530 : Epoch  1, Batch    403, Loss  1.308290, Average Loss  1.413208, Time  0.441769
2021-09-27 01:04:59.697660 : Epoch  1, Batch    404, Loss  1.321657, Average Loss  1.412394, Time  0.444497
2021-09-27 01:05:05.624668 : Epoch  1, Batch    405, Loss  1.337471, Average Loss  1.411667, Time  0.447678
2021-09-27 01:05:11.540764 : Epoch  1, Batch    406, Loss  1.323950, Average Loss  1.410827, Time  0.442386
2021-09-27 01:05:17.470579 : Epoch  1, Batch    407, Loss  1.312920, Average Loss  1.409938, Time  0.441260
2021-09-27 01:05:23.391667 : Epoch  1, Batch    408, Loss  1.320987, Average Loss  1.409125, Time  0.441350
2021-09-27 01:05:29.309391 : Epoch  1, Batch    409, Loss  1.324933, Average Loss  1.408307, Time  0.439829
2021-09-27 01:05:35.245823 : Epoch  1, Batch    410, Loss  1.316782, Average Loss  1.407468, Time  0.455385
2021-09-27 01:05:41.176576 : Epoch  1, Batch    411, Loss  1.327975, Average Loss  1.406746, Time  0.441894
2021-09-27 01:05:47.090840 : Epoch  1, Batch    412, Loss  1.306567, Average Loss  1.405888, Time  0.443254
2021-09-27 01:05:53.006001 : Epoch  1, Batch    413, Loss  1.318312, Average Loss  1.405050, Time  0.444402
2021-09-27 01:05:58.906293 : Epoch  1, Batch    414, Loss  1.324810, Average Loss  1.404246, Time  0.439218
2021-09-27 01:06:04.831524 : Epoch  1, Batch    415, Loss  1.311800, Average Loss  1.403474, Time  0.442300
2021-09-27 01:06:10.751286 : Epoch  1, Batch    416, Loss  1.318045, Average Loss  1.402622, Time  0.440492
2021-09-27 01:06:16.666784 : Epoch  1, Batch    417, Loss  1.303554, Average Loss  1.401739, Time  0.438900
2021-09-27 01:06:22.582735 : Epoch  1, Batch    418, Loss  1.318201, Average Loss  1.400887, Time  0.453789
2021-09-27 01:06:28.497563 : Epoch  1, Batch    419, Loss  1.315939, Average Loss  1.400024, Time  0.442152
2021-09-27 01:06:34.404232 : Epoch  1, Batch    420, Loss  1.318967, Average Loss  1.399206, Time  0.444587
2021-09-27 01:06:40.323903 : Epoch  1, Batch    421, Loss  1.322060, Average Loss  1.398433, Time  0.440299
2021-09-27 01:06:46.259863 : Epoch  1, Batch    422, Loss  1.316240, Average Loss  1.397643, Time  0.445333
2021-09-27 01:06:52.192000 : Epoch  1, Batch    423, Loss  1.302010, Average Loss  1.396704, Time  0.441150
2021-09-27 01:06:58.104295 : Epoch  1, Batch    424, Loss  1.318697, Average Loss  1.395887, Time  0.441817
2021-09-27 01:07:04.023395 : Epoch  1, Batch    425, Loss  1.300100, Average Loss  1.394977, Time  0.439344
2021-09-27 01:07:09.951913 : Epoch  1, Batch    426, Loss  1.296310, Average Loss  1.394108, Time  0.449973
2021-09-27 01:07:15.862545 : Epoch  1, Batch    427, Loss  1.310020, Average Loss  1.393208, Time  0.439828
2021-09-27 01:07:21.775815 : Epoch  1, Batch    428, Loss  1.306127, Average Loss  1.392334, Time  0.439480
2021-09-27 01:07:27.699393 : Epoch  1, Batch    429, Loss  1.297515, Average Loss  1.391462, Time  0.439753
2021-09-27 01:07:33.616998 : Epoch  1, Batch    430, Loss  1.310945, Average Loss  1.390650, Time  0.439391
2021-09-27 01:07:39.384418 : Epoch  1, Batch    431, Loss  1.299147, Average Loss  1.389809, Time  0.438781
2021-09-27 01:07:44.787822 : Epoch  1, Batch    432, Loss  1.296671, Average Loss  1.388943, Time  0.438203
2021-09-27 01:07:50.406850 : Epoch  1, Batch    433, Loss  1.299524, Average Loss  1.388067, Time  0.438394
2021-09-27 01:07:55.870999 : Epoch  1, Batch    434, Loss  1.283268, Average Loss  1.387145, Time  0.449433
2021-09-27 01:08:01.457629 : Epoch  1, Batch    435, Loss  1.312666, Average Loss  1.386297, Time  0.437949
2021-09-27 01:08:07.095100 : Epoch  1, Batch    436, Loss  1.305020, Average Loss  1.385451, Time  0.439358
2021-09-27 01:08:12.620415 : Epoch  1, Batch    437, Loss  1.294026, Average Loss  1.384590, Time  0.439075
2021-09-27 01:08:17.880445 : Epoch  1, Batch    438, Loss  1.303732, Average Loss  1.383758, Time  0.435720
2021-09-27 01:08:23.185518 : Epoch  1, Batch    439, Loss  1.296452, Average Loss  1.382894, Time  0.437660
2021-09-27 01:08:28.460382 : Epoch  1, Batch    440, Loss  1.276523, Average Loss  1.381950, Time  0.435104
2021-09-27 01:08:33.710432 : Epoch  1, Batch    441, Loss  1.294733, Average Loss  1.381048, Time  0.436357
2021-09-27 01:08:38.991851 : Epoch  1, Batch    442, Loss  1.300333, Average Loss  1.380203, Time  0.435567
2021-09-27 01:08:44.294118 : Epoch  1, Batch    443, Loss  1.296021, Average Loss  1.379341, Time  0.453855
2021-09-27 01:08:49.797948 : Epoch  1, Batch    444, Loss  1.300169, Average Loss  1.378474, Time  0.436064
2021-09-27 01:08:55.264792 : Epoch  1, Batch    445, Loss  1.302950, Average Loss  1.377641, Time  0.436027
2021-09-27 01:09:00.657478 : Epoch  1, Batch    446, Loss  1.296735, Average Loss  1.376853, Time  0.438540
2021-09-27 01:09:06.059056 : Epoch  1, Batch    447, Loss  1.305872, Average Loss  1.376093, Time  0.434830
2021-09-27 01:09:11.329539 : Epoch  1, Batch    448, Loss  1.300322, Average Loss  1.375261, Time  0.437224
2021-09-27 01:09:16.665947 : Epoch  1, Batch    449, Loss  1.288901, Average Loss  1.374416, Time  0.434851
2021-09-27 01:09:21.955914 : Epoch  1, Batch    450, Loss  1.280059, Average Loss  1.373543, Time  0.437296
2021-09-27 01:09:27.211957 : Epoch  1, Batch    451, Loss  1.297302, Average Loss  1.372767, Time  0.435027
2021-09-27 01:09:32.444979 : Epoch  1, Batch    452, Loss  1.286788, Average Loss  1.371879, Time  0.447931
2021-09-27 01:09:37.700383 : Epoch  1, Batch    453, Loss  1.294953, Average Loss  1.371020, Time  0.435021
2021-09-27 01:09:42.908182 : Epoch  1, Batch    454, Loss  1.298560, Average Loss  1.370261, Time  0.436009
2021-09-27 01:09:48.467977 : Epoch  1, Batch    455, Loss  1.298968, Average Loss  1.369400, Time  0.437160
2021-09-27 01:09:54.067402 : Epoch  1, Batch    456, Loss  1.300606, Average Loss  1.368627, Time  0.437409
2021-09-27 01:09:59.603831 : Epoch  1, Batch    457, Loss  1.294128, Average Loss  1.367778, Time  0.435484
2021-09-27 01:10:05.232325 : Epoch  1, Batch    458, Loss  1.290882, Average Loss  1.366965, Time  0.439485
2021-09-27 01:10:10.848856 : Epoch  1, Batch    459, Loss  1.289189, Average Loss  1.366069, Time  0.438575
2021-09-27 01:10:16.513716 : Epoch  1, Batch    460, Loss  1.284965, Average Loss  1.365235, Time  0.451775
2021-09-27 01:10:22.043654 : Epoch  1, Batch    461, Loss  1.302943, Average Loss  1.364440, Time  0.437180
2021-09-27 01:10:27.591995 : Epoch  1, Batch    462, Loss  1.299903, Average Loss  1.363641, Time  0.436363
2021-09-27 01:10:33.177814 : Epoch  1, Batch    463, Loss  1.296310, Average Loss  1.362862, Time  0.440277
2021-09-27 01:10:38.838319 : Epoch  1, Batch    464, Loss  1.302064, Average Loss  1.362110, Time  0.438815
2021-09-27 01:10:44.454041 : Epoch  1, Batch    465, Loss  1.291456, Average Loss  1.361273, Time  0.438237
2021-09-27 01:10:49.954721 : Epoch  1, Batch    466, Loss  1.287974, Average Loss  1.360448, Time  0.438002
2021-09-27 01:10:55.407756 : Epoch  1, Batch    467, Loss  1.291586, Average Loss  1.359590, Time  0.437732
2021-09-27 01:11:01.049268 : Epoch  1, Batch    468, Loss  1.291987, Average Loss  1.358765, Time  0.435944
2021-09-27 01:11:06.507084 : Epoch  1, Batch    469, Loss  1.306015, Average Loss  1.358028, Time  0.453087
2021-09-27 01:11:12.054378 : Epoch  1, Batch    470, Loss  1.295679, Average Loss  1.357247, Time  0.436322
2021-09-27 01:11:17.483094 : Epoch  1, Batch    471, Loss  1.290129, Average Loss  1.356485, Time  0.435488
2021-09-27 01:11:23.146171 : Epoch  1, Batch    472, Loss  1.291519, Average Loss  1.355595, Time  0.441417
2021-09-27 01:11:28.698065 : Epoch  1, Batch    473, Loss  1.298160, Average Loss  1.354807, Time  0.436230
2021-09-27 01:11:33.979432 : Epoch  1, Batch    474, Loss  1.281101, Average Loss  1.353962, Time  0.437556
2021-09-27 01:11:39.385719 : Epoch  1, Batch    475, Loss  1.293935, Average Loss  1.353151, Time  0.434897
2021-09-27 01:11:44.625155 : Epoch  1, Batch    476, Loss  1.282857, Average Loss  1.352402, Time  0.435679
2021-09-27 01:11:49.885212 : Epoch  1, Batch    477, Loss  1.286576, Average Loss  1.351617, Time  0.435752
2021-09-27 01:11:55.185946 : Epoch  1, Batch    478, Loss  1.274359, Average Loss  1.350708, Time  0.447752
2021-09-27 01:12:00.682706 : Epoch  1, Batch    479, Loss  1.276673, Average Loss  1.349883, Time  0.440905
2021-09-27 01:12:06.117078 : Epoch  1, Batch    480, Loss  1.297842, Average Loss  1.349171, Time  0.438110
2021-09-27 01:12:11.586074 : Epoch  1, Batch    481, Loss  1.297766, Average Loss  1.348469, Time  0.436676
2021-09-27 01:12:16.937067 : Epoch  1, Batch    482, Loss  1.275369, Average Loss  1.347663, Time  0.436170
2021-09-27 01:12:22.322314 : Epoch  1, Batch    483, Loss  1.301893, Average Loss  1.346933, Time  0.440058
2021-09-27 01:12:27.833248 : Epoch  1, Batch    484, Loss  1.289461, Average Loss  1.346266, Time  0.438935
2021-09-27 01:12:33.307852 : Epoch  1, Batch    485, Loss  1.295354, Average Loss  1.345541, Time  0.439585
2021-09-27 01:12:38.899236 : Epoch  1, Batch    486, Loss  1.276587, Average Loss  1.344757, Time  0.436546
2021-09-27 01:12:44.344851 : Epoch  1, Batch    487, Loss  1.294018, Average Loss  1.344091, Time  0.447274
2021-09-27 01:12:49.996062 : Epoch  1, Batch    488, Loss  1.295414, Average Loss  1.343409, Time  0.438282
2021-09-27 01:12:55.696177 : Epoch  1, Batch    489, Loss  1.275006, Average Loss  1.342595, Time  0.438368
2021-09-27 01:13:01.379257 : Epoch  1, Batch    490, Loss  1.285148, Average Loss  1.341875, Time  0.438263
2021-09-27 01:13:07.030591 : Epoch  1, Batch    491, Loss  1.281031, Average Loss  1.341132, Time  0.438069
2021-09-27 01:13:12.705512 : Epoch  1, Batch    492, Loss  1.289951, Average Loss  1.340448, Time  0.438237
2021-09-27 01:13:18.314169 : Epoch  1, Batch    493, Loss  1.291452, Average Loss  1.339782, Time  0.436321
2021-09-27 01:13:23.831120 : Epoch  1, Batch    494, Loss  1.282823, Average Loss  1.339083, Time  0.440573
2021-09-27 01:13:29.407816 : Epoch  1, Batch    495, Loss  1.291545, Average Loss  1.338434, Time  0.451659
2021-09-27 01:13:35.057713 : Epoch  1, Batch    496, Loss  1.281989, Average Loss  1.337739, Time  0.438375
2021-09-27 01:13:40.718937 : Epoch  1, Batch    497, Loss  1.281343, Average Loss  1.337016, Time  0.438674
2021-09-27 01:13:46.409965 : Epoch  1, Batch    498, Loss  1.268565, Average Loss  1.336248, Time  0.438320
2021-09-27 01:13:52.052779 : Epoch  1, Batch    499, Loss  1.271428, Average Loss  1.335516, Time  0.439121
2021-09-27 01:13:57.648019 : Epoch  1, Batch    500, Loss  1.265956, Average Loss  1.334720, Time  0.436244
2021-09-27 01:18:19.316432 : CheckPoint: Validation Loss  0.00021178, Best Loss  0.00021042
2021-09-27 01:18:24.903394 : Epoch  1, Batch    501, Loss  1.282677, Average Loss  1.333993, Time  0.440087
2021-09-27 01:18:30.574854 : Epoch  1, Batch    502, Loss  1.289451, Average Loss  1.333393, Time  0.439818
2021-09-27 01:18:36.246145 : Epoch  1, Batch    503, Loss  1.274661, Average Loss  1.332687, Time  0.438558
2021-09-27 01:18:41.915411 : Epoch  1, Batch    504, Loss  1.279802, Average Loss  1.331965, Time  0.440704
2021-09-27 01:18:47.609719 : Epoch  1, Batch    505, Loss  1.280454, Average Loss  1.331264, Time  0.438701
2021-09-27 01:18:53.144763 : Epoch  1, Batch    506, Loss  1.279822, Average Loss  1.330481, Time  0.439280
2021-09-27 01:18:58.529965 : Epoch  1, Batch    507, Loss  1.287798, Average Loss  1.329835, Time  0.449157
2021-09-27 01:19:04.184992 : Epoch  1, Batch    508, Loss  1.271148, Average Loss  1.329180, Time  0.438237
2021-09-27 01:19:09.794211 : Epoch  1, Batch    509, Loss  1.270212, Average Loss  1.328472, Time  0.438204
2021-09-27 01:19:15.289074 : Epoch  1, Batch    510, Loss  1.263692, Average Loss  1.327726, Time  0.438298
2021-09-27 01:19:20.953770 : Epoch  1, Batch    511, Loss  1.279388, Average Loss  1.327094, Time  0.438623
2021-09-27 01:19:26.571164 : Epoch  1, Batch    512, Loss  1.275892, Average Loss  1.326360, Time  0.436676
2021-09-27 01:19:32.246425 : Epoch  1, Batch    513, Loss  1.262938, Average Loss  1.325538, Time  0.437099
2021-09-27 01:19:37.786959 : Epoch  1, Batch    514, Loss  1.267088, Average Loss  1.324791, Time  0.437761
2021-09-27 01:19:41.915398 : Epoch  1, Batch    515, Loss  1.298080, Average Loss  1.324214, Time  0.339998
2021-09-27 01:19:47.496259 : Epoch  1, Batch    516, Loss  1.278776, Average Loss  1.323554, Time  0.448061
2021-09-27 01:19:52.945995 : Epoch  1, Batch    517, Loss  1.268898, Average Loss  1.322879, Time  0.436868
2021-09-27 01:19:58.270229 : Epoch  1, Batch    518, Loss  1.263616, Average Loss  1.322142, Time  0.438725
2021-09-27 01:20:03.906807 : Epoch  1, Batch    519, Loss  1.286995, Average Loss  1.321477, Time  0.438516
2021-09-27 01:20:09.568286 : Epoch  1, Batch    520, Loss  1.297074, Average Loss  1.320923, Time  0.438946
2021-09-27 01:20:15.040955 : Epoch  1, Batch    521, Loss  1.272026, Average Loss  1.320283, Time  0.436349
2021-09-27 01:20:20.534872 : Epoch  1, Batch    522, Loss  1.261358, Average Loss  1.319553, Time  0.439552
2021-09-27 01:20:26.151818 : Epoch  1, Batch    523, Loss  1.287005, Average Loss  1.318982, Time  0.438960
2021-09-27 01:20:31.586939 : Epoch  1, Batch    524, Loss  1.260164, Average Loss  1.318359, Time  0.451170
2021-09-27 01:20:36.967147 : Epoch  1, Batch    525, Loss  1.275622, Average Loss  1.317761, Time  0.438159
2021-09-27 01:20:42.377955 : Epoch  1, Batch    526, Loss  1.269464, Average Loss  1.317097, Time  0.439657
2021-09-27 01:20:47.950699 : Epoch  1, Batch    527, Loss  1.277634, Average Loss  1.316547, Time  0.439584
2021-09-27 01:20:53.492926 : Epoch  1, Batch    528, Loss  1.259520, Average Loss  1.315927, Time  0.439909
2021-09-27 01:20:59.122458 : Epoch  1, Batch    529, Loss  1.263858, Average Loss  1.315283, Time  0.439287
2021-09-27 01:21:04.744661 : Epoch  1, Batch    530, Loss  1.271225, Average Loss  1.314661, Time  0.440015
2021-09-27 01:21:10.427359 : Epoch  1, Batch    531, Loss  1.267438, Average Loss  1.313971, Time  0.438738
2021-09-27 01:21:16.070529 : Epoch  1, Batch    532, Loss  1.271409, Average Loss  1.313357, Time  0.439581
2021-09-27 01:21:21.688418 : Epoch  1, Batch    533, Loss  1.281230, Average Loss  1.312893, Time  0.450846
2021-09-27 01:21:27.110554 : Epoch  1, Batch    534, Loss  1.291676, Average Loss  1.312431, Time  0.441913
2021-09-27 01:21:32.764179 : Epoch  1, Batch    535, Loss  1.263837, Average Loss  1.311828, Time  0.437968
2021-09-27 01:21:38.303665 : Epoch  1, Batch    536, Loss  1.261384, Average Loss  1.311247, Time  0.439595
2021-09-27 01:21:44.000319 : Epoch  1, Batch    537, Loss  1.284486, Average Loss  1.310731, Time  0.439500
2021-09-27 01:21:49.447255 : Epoch  1, Batch    538, Loss  1.267356, Average Loss  1.310318, Time  0.435415
2021-09-27 01:21:54.918655 : Epoch  1, Batch    539, Loss  1.258920, Average Loss  1.309774, Time  0.441414
2021-09-27 01:22:00.497244 : Epoch  1, Batch    540, Loss  1.256122, Average Loss  1.309106, Time  0.435702
2021-09-27 01:22:05.940182 : Epoch  1, Batch    541, Loss  1.277006, Average Loss  1.308631, Time  0.436419
2021-09-27 01:22:11.499006 : Epoch  1, Batch    542, Loss  1.256308, Average Loss  1.308030, Time  0.450128
2021-09-27 01:22:17.043717 : Epoch  1, Batch    543, Loss  1.265363, Average Loss  1.307512, Time  0.439371
2021-09-27 01:22:22.682844 : Epoch  1, Batch    544, Loss  1.290698, Average Loss  1.307028, Time  0.439285
2021-09-27 01:22:28.115274 : Epoch  1, Batch    545, Loss  1.275433, Average Loss  1.306566, Time  0.435893
2021-09-27 01:22:33.646476 : Epoch  1, Batch    546, Loss  1.263753, Average Loss  1.306040, Time  0.437682
2021-09-27 01:22:39.208825 : Epoch  1, Batch    547, Loss  1.275793, Average Loss  1.305587, Time  0.436928
2021-09-27 01:22:44.700926 : Epoch  1, Batch    548, Loss  1.260477, Average Loss  1.305038, Time  0.437684
2021-09-27 01:22:50.330984 : Epoch  1, Batch    549, Loss  1.256004, Average Loss  1.304415, Time  0.438041
2021-09-27 01:22:55.999739 : Epoch  1, Batch    550, Loss  1.246964, Average Loss  1.303801, Time  0.450040
2021-09-27 01:23:01.637934 : Epoch  1, Batch    551, Loss  1.285572, Average Loss  1.303419, Time  0.438234
2021-09-27 01:23:07.264678 : Epoch  1, Batch    552, Loss  1.259854, Average Loss  1.302884, Time  0.438144
2021-09-27 01:23:12.889747 : Epoch  1, Batch    553, Loss  1.275632, Average Loss  1.302388, Time  0.437959
2021-09-27 01:23:18.485782 : Epoch  1, Batch    554, Loss  1.270743, Average Loss  1.301965, Time  0.438640
2021-09-27 01:23:24.055406 : Epoch  1, Batch    555, Loss  1.266319, Average Loss  1.301488, Time  0.439283
2021-09-27 01:23:29.619216 : Epoch  1, Batch    556, Loss  1.261394, Average Loss  1.301063, Time  0.437505
2021-09-27 01:23:35.095623 : Epoch  1, Batch    557, Loss  1.261671, Average Loss  1.300492, Time  0.438392
2021-09-27 01:23:40.461679 : Epoch  1, Batch    558, Loss  1.273613, Average Loss  1.300014, Time  0.448721
2021-09-27 01:23:45.970421 : Epoch  1, Batch    559, Loss  1.272622, Average Loss  1.299572, Time  0.435627
2021-09-27 01:23:51.417547 : Epoch  1, Batch    560, Loss  1.265593, Average Loss  1.299102, Time  0.436197
2021-09-27 01:23:56.844111 : Epoch  1, Batch    561, Loss  1.258196, Average Loss  1.298608, Time  0.440039
2021-09-27 01:24:02.371925 : Epoch  1, Batch    562, Loss  1.247941, Average Loss  1.298123, Time  0.437515
2021-09-27 01:24:07.718486 : Epoch  1, Batch    563, Loss  1.264189, Average Loss  1.297621, Time  0.439182
2021-09-27 01:24:13.365829 : Epoch  1, Batch    564, Loss  1.256995, Average Loss  1.297142, Time  0.438183
2021-09-27 01:24:18.814713 : Epoch  1, Batch    565, Loss  1.274972, Average Loss  1.296701, Time  0.438324
2021-09-27 01:24:24.382363 : Epoch  1, Batch    566, Loss  1.256528, Average Loss  1.296238, Time  0.438279
2021-09-27 01:24:30.024809 : Epoch  1, Batch    567, Loss  1.267604, Average Loss  1.295877, Time  0.453000
2021-09-27 01:24:35.504706 : Epoch  1, Batch    568, Loss  1.263971, Average Loss  1.295421, Time  0.438550
2021-09-27 01:24:41.055222 : Epoch  1, Batch    569, Loss  1.269866, Average Loss  1.294987, Time  0.438517
2021-09-27 01:24:46.690035 : Epoch  1, Batch    570, Loss  1.274524, Average Loss  1.294531, Time  0.440238
2021-09-27 01:24:52.460415 : Epoch  1, Batch    571, Loss  1.270651, Average Loss  1.294186, Time  0.442196
2021-09-27 01:24:58.161932 : Epoch  1, Batch    572, Loss  1.252008, Average Loss  1.293691, Time  0.439153
2021-09-27 01:25:03.678380 : Epoch  1, Batch    573, Loss  1.261821, Average Loss  1.293251, Time  0.437078
2021-09-27 01:25:09.245010 : Epoch  1, Batch    574, Loss  1.261953, Average Loss  1.292799, Time  0.438608
2021-09-27 01:25:14.978278 : Epoch  1, Batch    575, Loss  1.265086, Average Loss  1.292427, Time  0.453926
2021-09-27 01:25:20.677046 : Epoch  1, Batch    576, Loss  1.247549, Average Loss  1.291923, Time  0.441726
2021-09-27 01:25:26.379911 : Epoch  1, Batch    577, Loss  1.256521, Average Loss  1.291521, Time  0.439163
2021-09-27 01:25:32.117117 : Epoch  1, Batch    578, Loss  1.267500, Average Loss  1.291122, Time  0.439568
2021-09-27 01:25:37.644879 : Epoch  1, Batch    579, Loss  1.260094, Average Loss  1.290738, Time  0.439440
2021-09-27 01:25:43.342783 : Epoch  1, Batch    580, Loss  1.251687, Average Loss  1.290254, Time  0.439728
2021-09-27 01:25:49.001487 : Epoch  1, Batch    581, Loss  1.279734, Average Loss  1.290092, Time  0.437927
2021-09-27 01:25:54.548041 : Epoch  1, Batch    582, Loss  1.249347, Average Loss  1.289760, Time  0.437754
2021-09-27 01:26:00.250125 : Epoch  1, Batch    583, Loss  1.264798, Average Loss  1.289425, Time  0.455573
2021-09-27 01:26:05.993312 : Epoch  1, Batch    584, Loss  1.278238, Average Loss  1.289085, Time  0.438034
2021-09-27 01:26:11.437154 : Epoch  1, Batch    585, Loss  1.265110, Average Loss  1.288744, Time  0.436145
2021-09-27 01:26:16.739548 : Epoch  1, Batch    586, Loss  1.268486, Average Loss  1.288409, Time  0.436527
2021-09-27 01:26:22.211675 : Epoch  1, Batch    587, Loss  1.255973, Average Loss  1.288026, Time  0.438625
2021-09-27 01:26:27.834245 : Epoch  1, Batch    588, Loss  1.246434, Average Loss  1.287605, Time  0.439374
2021-09-27 01:26:33.382651 : Epoch  1, Batch    589, Loss  1.262420, Average Loss  1.287241, Time  0.437917
2021-09-27 01:26:39.057903 : Epoch  1, Batch    590, Loss  1.261337, Average Loss  1.286925, Time  0.438988
2021-09-27 01:26:44.631032 : Epoch  1, Batch    591, Loss  1.264005, Average Loss  1.286571, Time  0.449704
2021-09-27 01:26:50.377723 : Epoch  1, Batch    592, Loss  1.268366, Average Loss  1.286191, Time  0.439593
2021-09-27 01:26:56.076476 : Epoch  1, Batch    593, Loss  1.273120, Average Loss  1.285896, Time  0.440695
2021-09-27 01:27:01.575875 : Epoch  1, Batch    594, Loss  1.260282, Average Loss  1.285536, Time  0.438853
2021-09-27 01:27:07.048121 : Epoch  1, Batch    595, Loss  1.238552, Average Loss  1.285018, Time  0.437201
2021-09-27 01:27:12.526179 : Epoch  1, Batch    596, Loss  1.263253, Average Loss  1.284682, Time  0.438071
2021-09-27 01:27:18.221275 : Epoch  1, Batch    597, Loss  1.260394, Average Loss  1.284352, Time  0.438518
2021-09-27 01:27:23.751699 : Epoch  1, Batch    598, Loss  1.270857, Average Loss  1.284069, Time  0.440784
2021-09-27 01:27:29.458474 : Epoch  1, Batch    599, Loss  1.249638, Average Loss  1.283717, Time  0.438476
2021-09-27 01:27:35.043005 : Epoch  1, Batch    600, Loss  1.233872, Average Loss  1.283205, Time  0.450853
2021-09-27 01:31:57.959135 : CheckPoint: Validation Loss  0.00021114, Best Loss  0.00021042
2021-09-27 01:32:03.606434 : Epoch  1, Batch    601, Loss  1.257425, Average Loss  1.282837, Time  0.440537
2021-09-27 01:32:09.290072 : Epoch  1, Batch    602, Loss  1.257206, Average Loss  1.282457, Time  0.438677
2021-09-27 01:32:14.860707 : Epoch  1, Batch    603, Loss  1.245189, Average Loss  1.282141, Time  0.436844
2021-09-27 01:32:20.393095 : Epoch  1, Batch    604, Loss  1.265696, Average Loss  1.281861, Time  0.446420
2021-09-27 01:32:25.968847 : Epoch  1, Batch    605, Loss  1.264879, Average Loss  1.281498, Time  0.439574
2021-09-27 01:32:31.598086 : Epoch  1, Batch    606, Loss  1.229355, Average Loss  1.281025, Time  0.439180
2021-09-27 01:32:37.510187 : Epoch  1, Batch    607, Loss  1.240750, Average Loss  1.280665, Time  0.438756
2021-09-27 01:32:43.410891 : Epoch  1, Batch    608, Loss  1.251622, Average Loss  1.280318, Time  0.438648
2021-09-27 01:32:49.305705 : Epoch  1, Batch    609, Loss  1.252185, Average Loss  1.279954, Time  0.438806
2021-09-27 01:32:55.215074 : Epoch  1, Batch    610, Loss  1.248619, Average Loss  1.279613, Time  0.438573
2021-09-27 01:33:01.130785 : Epoch  1, Batch    611, Loss  1.246313, Average Loss  1.279205, Time  0.438967
2021-09-27 01:33:07.034840 : Epoch  1, Batch    612, Loss  1.273978, Average Loss  1.279042, Time  0.444528
2021-09-27 01:33:12.948316 : Epoch  1, Batch    613, Loss  1.247575, Average Loss  1.278688, Time  0.438581
2021-09-27 01:33:18.870310 : Epoch  1, Batch    614, Loss  1.241480, Average Loss  1.278272, Time  0.439886
2021-09-27 01:33:24.787943 : Epoch  1, Batch    615, Loss  1.247838, Average Loss  1.277952, Time  0.439049
2021-09-27 01:33:30.714864 : Epoch  1, Batch    616, Loss  1.243210, Average Loss  1.277578, Time  0.440570
2021-09-27 01:33:36.328158 : Epoch  1, Batch    617, Loss  1.250395, Average Loss  1.277312, Time  0.437600
2021-09-27 01:33:41.754974 : Epoch  1, Batch    618, Loss  1.255601, Average Loss  1.276999, Time  0.435249
2021-09-27 01:33:47.249077 : Epoch  1, Batch    619, Loss  1.244578, Average Loss  1.276642, Time  0.438350
2021-09-27 01:33:52.856228 : Epoch  1, Batch    620, Loss  1.246876, Average Loss  1.276282, Time  0.452225
2021-09-27 01:33:58.476648 : Epoch  1, Batch    621, Loss  1.260720, Average Loss  1.275975, Time  0.437692
2021-09-27 01:34:04.103487 : Epoch  1, Batch    622, Loss  1.245647, Average Loss  1.275622, Time  0.437982
2021-09-27 01:34:09.547296 : Epoch  1, Batch    623, Loss  1.259194, Average Loss  1.275408, Time  0.435456
2021-09-27 01:34:14.824105 : Epoch  1, Batch    624, Loss  1.253287, Average Loss  1.275081, Time  0.435797
2021-09-27 01:34:20.123281 : Epoch  1, Batch    625, Loss  1.242726, Average Loss  1.274794, Time  0.435874
2021-09-27 01:34:25.427816 : Epoch  1, Batch    626, Loss  1.248527, Average Loss  1.274555, Time  0.437234
2021-09-27 01:34:30.705436 : Epoch  1, Batch    627, Loss  1.255104, Average Loss  1.274280, Time  0.436177
2021-09-27 01:34:35.969125 : Epoch  1, Batch    628, Loss  1.252033, Average Loss  1.274010, Time  0.436283
2021-09-27 01:34:41.272906 : Epoch  1, Batch    629, Loss  1.256030, Average Loss  1.273802, Time  0.444450
2021-09-27 01:34:46.539010 : Epoch  1, Batch    630, Loss  1.238010, Average Loss  1.273438, Time  0.435277
2021-09-27 01:34:51.807857 : Epoch  1, Batch    631, Loss  1.242517, Average Loss  1.273155, Time  0.435796
2021-09-27 01:34:57.159287 : Epoch  1, Batch    632, Loss  1.238815, Average Loss  1.272865, Time  0.435778
2021-09-27 01:35:02.466908 : Epoch  1, Batch    633, Loss  1.243710, Average Loss  1.272586, Time  0.435966
2021-09-27 01:35:07.913540 : Epoch  1, Batch    634, Loss  1.253523, Average Loss  1.272438, Time  0.438161
2021-09-27 01:35:13.424375 : Epoch  1, Batch    635, Loss  1.243141, Average Loss  1.272090, Time  0.437689
2021-09-27 01:35:19.016826 : Epoch  1, Batch    636, Loss  1.241123, Average Loss  1.271770, Time  0.435621
2021-09-27 01:35:24.339623 : Epoch  1, Batch    637, Loss  1.239039, Average Loss  1.271496, Time  0.435631
2021-09-27 01:35:29.721492 : Epoch  1, Batch    638, Loss  1.217456, Average Loss  1.271064, Time  0.448053
2021-09-27 01:35:35.057255 : Epoch  1, Batch    639, Loss  1.241492, Average Loss  1.270789, Time  0.437433
2021-09-27 01:35:40.353144 : Epoch  1, Batch    640, Loss  1.249432, Average Loss  1.270654, Time  0.435594
2021-09-27 01:35:46.282385 : Epoch  1, Batch    641, Loss  1.240672, Average Loss  1.270384, Time  0.440082
2021-09-27 01:35:52.211454 : Epoch  1, Batch    642, Loss  1.250085, Average Loss  1.270132, Time  0.440228
2021-09-27 01:35:58.126552 : Epoch  1, Batch    643, Loss  1.240406, Average Loss  1.269854, Time  0.441139
2021-09-27 01:36:04.057289 : Epoch  1, Batch    644, Loss  1.219547, Average Loss  1.269451, Time  0.443160
2021-09-27 01:36:09.976955 : Epoch  1, Batch    645, Loss  1.256114, Average Loss  1.269217, Time  0.439806
2021-09-27 01:36:15.911124 : Epoch  1, Batch    646, Loss  1.261786, Average Loss  1.269042, Time  0.455595
2021-09-27 01:36:21.822139 : Epoch  1, Batch    647, Loss  1.241580, Average Loss  1.268721, Time  0.441586
2021-09-27 01:36:27.750069 : Epoch  1, Batch    648, Loss  1.243552, Average Loss  1.268437, Time  0.441787
2021-09-27 01:36:33.671360 : Epoch  1, Batch    649, Loss  1.248745, Average Loss  1.268236, Time  0.440661
2021-09-27 01:36:39.585694 : Epoch  1, Batch    650, Loss  1.250458, Average Loss  1.268088, Time  0.438433
2021-09-27 01:36:45.506786 : Epoch  1, Batch    651, Loss  1.245045, Average Loss  1.267827, Time  0.440037
2021-09-27 01:36:51.419936 : Epoch  1, Batch    652, Loss  1.252521, Average Loss  1.267656, Time  0.441219
2021-09-27 01:36:57.350715 : Epoch  1, Batch    653, Loss  1.242700, Average Loss  1.267394, Time  0.456393
2021-09-27 01:37:03.255773 : Epoch  1, Batch    654, Loss  1.256448, Average Loss  1.267184, Time  0.440784
2021-09-27 01:37:09.175242 : Epoch  1, Batch    655, Loss  1.241369, Average Loss  1.266896, Time  0.440292
2021-09-27 01:37:15.100793 : Epoch  1, Batch    656, Loss  1.249167, Average Loss  1.266639, Time  0.439484
2021-09-27 01:37:21.019268 : Epoch  1, Batch    657, Loss  1.257309, Average Loss  1.266454, Time  0.440470
2021-09-27 01:37:26.951004 : Epoch  1, Batch    658, Loss  1.229022, Average Loss  1.266145, Time  0.440550
2021-09-27 01:37:32.867928 : Epoch  1, Batch    659, Loss  1.258912, Average Loss  1.265994, Time  0.440573
2021-09-27 01:37:38.797867 : Epoch  1, Batch    660, Loss  1.232082, Average Loss  1.265729, Time  0.441587
2021-09-27 01:37:44.728812 : Epoch  1, Batch    661, Loss  1.254914, Average Loss  1.265489, Time  0.452188
2021-09-27 01:37:50.661338 : Epoch  1, Batch    662, Loss  1.226054, Average Loss  1.265120, Time  0.439089
2021-09-27 01:37:56.587894 : Epoch  1, Batch    663, Loss  1.245057, Average Loss  1.264864, Time  0.439087
2021-09-27 01:38:02.506306 : Epoch  1, Batch    664, Loss  1.234555, Average Loss  1.264526, Time  0.439185
2021-09-27 01:38:08.410989 : Epoch  1, Batch    665, Loss  1.244883, Average Loss  1.264293, Time  0.441093
2021-09-27 01:38:14.322543 : Epoch  1, Batch    666, Loss  1.245366, Average Loss  1.264080, Time  0.439930
2021-09-27 01:38:20.254353 : Epoch  1, Batch    667, Loss  1.252564, Average Loss  1.263885, Time  0.444057
2021-09-27 01:38:26.178947 : Epoch  1, Batch    668, Loss  1.244700, Average Loss  1.263649, Time  0.439387
2021-09-27 01:38:32.129859 : Epoch  1, Batch    669, Loss  1.230344, Average Loss  1.263270, Time  0.461644
2021-09-27 01:38:38.047889 : Epoch  1, Batch    670, Loss  1.233884, Average Loss  1.262961, Time  0.440816
2021-09-27 01:38:43.961017 : Epoch  1, Batch    671, Loss  1.235577, Average Loss  1.262689, Time  0.439973
2021-09-27 01:38:49.884775 : Epoch  1, Batch    672, Loss  1.253659, Average Loss  1.262499, Time  0.439492
2021-09-27 01:38:55.816996 : Epoch  1, Batch    673, Loss  1.247927, Average Loss  1.262248, Time  0.440472
2021-09-27 01:39:01.737826 : Epoch  1, Batch    674, Loss  1.244136, Average Loss  1.262063, Time  0.439347
2021-09-27 01:39:07.659383 : Epoch  1, Batch    675, Loss  1.244716, Average Loss  1.261817, Time  0.439425
2021-09-27 01:39:13.591454 : Epoch  1, Batch    676, Loss  1.239987, Average Loss  1.261603, Time  0.443453
2021-09-27 01:39:19.530943 : Epoch  1, Batch    677, Loss  1.227643, Average Loss  1.261308, Time  0.446037
2021-09-27 01:39:25.441045 : Epoch  1, Batch    678, Loss  1.238476, Average Loss  1.261129, Time  0.439371
2021-09-27 01:39:31.368782 : Epoch  1, Batch    679, Loss  1.233098, Average Loss  1.260911, Time  0.440650
2021-09-27 01:39:37.291836 : Epoch  1, Batch    680, Loss  1.237383, Average Loss  1.260609, Time  0.441053
2021-09-27 01:39:43.212678 : Epoch  1, Batch    681, Loss  1.232396, Average Loss  1.260282, Time  0.440448
2021-09-27 01:39:49.117753 : Epoch  1, Batch    682, Loss  1.235106, Average Loss  1.260080, Time  0.439311
2021-09-27 01:39:55.054516 : Epoch  1, Batch    683, Loss  1.239685, Average Loss  1.259769, Time  0.440081
2021-09-27 01:40:00.994077 : Epoch  1, Batch    684, Loss  1.242865, Average Loss  1.259536, Time  0.442801
2021-09-27 01:40:06.923320 : Epoch  1, Batch    685, Loss  1.224717, Average Loss  1.259183, Time  0.451979
2021-09-27 01:40:12.843854 : Epoch  1, Batch    686, Loss  1.231285, Average Loss  1.258957, Time  0.438644
2021-09-27 01:40:18.762482 : Epoch  1, Batch    687, Loss  1.234530, Average Loss  1.258659, Time  0.441272
2021-09-27 01:40:24.678523 : Epoch  1, Batch    688, Loss  1.226417, Average Loss  1.258314, Time  0.442176
2021-09-27 01:40:30.617300 : Epoch  1, Batch    689, Loss  1.251989, Average Loss  1.258199, Time  0.439067
2021-09-27 01:40:36.535505 : Epoch  1, Batch    690, Loss  1.232270, Average Loss  1.257935, Time  0.442586
2021-09-27 01:40:42.466836 : Epoch  1, Batch    691, Loss  1.224197, Average Loss  1.257651, Time  0.440999
2021-09-27 01:40:48.376176 : Epoch  1, Batch    692, Loss  1.243112, Average Loss  1.257416, Time  0.439085
2021-09-27 01:40:54.314859 : Epoch  1, Batch    693, Loss  1.248869, Average Loss  1.257204, Time  0.456725
2021-09-27 01:41:00.239873 : Epoch  1, Batch    694, Loss  1.250369, Average Loss  1.257041, Time  0.440346
2021-09-27 01:41:06.173778 : Epoch  1, Batch    695, Loss  1.241334, Average Loss  1.256790, Time  0.439378
2021-09-27 01:41:12.081805 : Epoch  1, Batch    696, Loss  1.238133, Average Loss  1.256571, Time  0.439952
2021-09-27 01:41:18.016161 : Epoch  1, Batch    697, Loss  1.222578, Average Loss  1.256277, Time  0.442603
2021-09-27 01:41:23.928542 : Epoch  1, Batch    698, Loss  1.243294, Average Loss  1.256151, Time  0.442729
2021-09-27 01:41:29.864603 : Epoch  1, Batch    699, Loss  1.234970, Average Loss  1.255968, Time  0.441990
2021-09-27 01:41:35.801864 : Epoch  1, Batch    700, Loss  1.233675, Average Loss  1.255807, Time  0.442270
2021-09-27 01:46:14.113736 : CheckPoint: Validation Loss  0.00021167, Best Loss  0.00021042
2021-09-27 01:46:20.041982 : Epoch  1, Batch    701, Loss  1.231430, Average Loss  1.255551, Time  0.443396
2021-09-27 01:46:25.969870 : Epoch  1, Batch    702, Loss  1.217990, Average Loss  1.255194, Time  0.442332
2021-09-27 01:46:31.896758 : Epoch  1, Batch    703, Loss  1.236858, Average Loss  1.255004, Time  0.438884
2021-09-27 01:46:37.821652 : Epoch  1, Batch    704, Loss  1.237613, Average Loss  1.254794, Time  0.439459
2021-09-27 01:46:43.751221 : Epoch  1, Batch    705, Loss  1.234780, Average Loss  1.254565, Time  0.439430
2021-09-27 01:46:49.666840 : Epoch  1, Batch    706, Loss  1.243476, Average Loss  1.254383, Time  0.438783
2021-09-27 01:46:55.580900 : Epoch  1, Batch    707, Loss  1.236682, Average Loss  1.254128, Time  0.438919
2021-09-27 01:47:01.525120 : Epoch  1, Batch    708, Loss  1.229004, Average Loss  1.253917, Time  0.457447
2021-09-27 01:47:07.442245 : Epoch  1, Batch    709, Loss  1.232195, Average Loss  1.253727, Time  0.440501
2021-09-27 01:47:13.359470 : Epoch  1, Batch    710, Loss  1.238177, Average Loss  1.253599, Time  0.440783
2021-09-27 01:47:19.285791 : Epoch  1, Batch    711, Loss  1.236519, Average Loss  1.253385, Time  0.439881
2021-09-27 01:47:25.214065 : Epoch  1, Batch    712, Loss  1.219014, Average Loss  1.253101, Time  0.442223
2021-09-27 01:47:31.135531 : Epoch  1, Batch    713, Loss  1.237247, Average Loss  1.252972, Time  0.439563
2021-09-27 01:47:37.048229 : Epoch  1, Batch    714, Loss  1.235570, Average Loss  1.252815, Time  0.442305
2021-09-27 01:47:42.971694 : Epoch  1, Batch    715, Loss  1.227960, Average Loss  1.252464, Time  0.438303
2021-09-27 01:47:48.920996 : Epoch  1, Batch    716, Loss  1.246374, Average Loss  1.252302, Time  0.453366
2021-09-27 01:47:54.836946 : Epoch  1, Batch    717, Loss  1.235182, Average Loss  1.252134, Time  0.441765
2021-09-27 01:48:00.782684 : Epoch  1, Batch    718, Loss  1.210647, Average Loss  1.251869, Time  0.440028
2021-09-27 01:48:06.690201 : Epoch  1, Batch    719, Loss  1.229852, Average Loss  1.251583, Time  0.440526
2021-09-27 01:48:12.614112 : Epoch  1, Batch    720, Loss  1.226130, Average Loss  1.251228, Time  0.438787
2021-09-27 01:48:18.544683 : Epoch  1, Batch    721, Loss  1.236300, Average Loss  1.251050, Time  0.443853
2021-09-27 01:48:24.478294 : Epoch  1, Batch    722, Loss  1.227787, Average Loss  1.250882, Time  0.440957
2021-09-27 01:48:30.415927 : Epoch  1, Batch    723, Loss  1.212695, Average Loss  1.250510, Time  0.454270
2021-09-27 01:48:36.339486 : Epoch  1, Batch    724, Loss  1.236345, Average Loss  1.250391, Time  0.439346
2021-09-27 01:48:42.262377 : Epoch  1, Batch    725, Loss  1.240156, Average Loss  1.250214, Time  0.439901
2021-09-27 01:48:48.198784 : Epoch  1, Batch    726, Loss  1.255343, Average Loss  1.250143, Time  0.442003
2021-09-27 01:48:54.096701 : Epoch  1, Batch    727, Loss  1.224884, Average Loss  1.249879, Time  0.442781
2021-09-27 01:49:00.012013 : Epoch  1, Batch    728, Loss  1.233291, Average Loss  1.249748, Time  0.439570
2021-09-27 01:49:05.916704 : Epoch  1, Batch    729, Loss  1.230160, Average Loss  1.249580, Time  0.439910
2021-09-27 01:49:11.850037 : Epoch  1, Batch    730, Loss  1.215626, Average Loss  1.249302, Time  0.439402
2021-09-27 01:49:17.785770 : Epoch  1, Batch    731, Loss  1.237530, Average Loss  1.249152, Time  0.450449
2021-09-27 01:49:23.723597 : Epoch  1, Batch    732, Loss  1.238553, Average Loss  1.248988, Time  0.442185
2021-09-27 01:49:29.657317 : Epoch  1, Batch    733, Loss  1.218553, Average Loss  1.248675, Time  0.440502
2021-09-27 01:49:35.579683 : Epoch  1, Batch    734, Loss  1.233124, Average Loss  1.248382, Time  0.442660
2021-09-27 01:49:41.497114 : Epoch  1, Batch    735, Loss  1.223995, Average Loss  1.248183, Time  0.439236
2021-09-27 01:49:47.414138 : Epoch  1, Batch    736, Loss  1.215300, Average Loss  1.247952, Time  0.441109
2021-09-27 01:49:53.340815 : Epoch  1, Batch    737, Loss  1.225552, Average Loss  1.247658, Time  0.439372
2021-09-27 01:49:59.262066 : Epoch  1, Batch    738, Loss  1.227018, Average Loss  1.247456, Time  0.438706
2021-09-27 01:50:05.324206 : Epoch  1, Batch    739, Loss  1.221935, Average Loss  1.247271, Time  0.453926
2021-09-27 01:50:11.240529 : Epoch  1, Batch    740, Loss  1.247220, Average Loss  1.247226, Time  0.440288
2021-09-27 01:50:17.172604 : Epoch  1, Batch    741, Loss  1.233839, Average Loss  1.247011, Time  0.439200
2021-09-27 01:50:23.107802 : Epoch  1, Batch    742, Loss  1.232724, Average Loss  1.246893, Time  0.441727
2021-09-27 01:50:29.027117 : Epoch  1, Batch    743, Loss  1.230486, Average Loss  1.246718, Time  0.443617
2021-09-27 01:50:34.958904 : Epoch  1, Batch    744, Loss  1.217948, Average Loss  1.246355, Time  0.442972
2021-09-27 01:50:40.889957 : Epoch  1, Batch    745, Loss  1.230184, Average Loss  1.246128, Time  0.441048
2021-09-27 01:50:46.801729 : Epoch  1, Batch    746, Loss  1.217838, Average Loss  1.245899, Time  0.439274
2021-09-27 01:50:52.740860 : Epoch  1, Batch    747, Loss  1.243558, Average Loss  1.245738, Time  0.447327
2021-09-27 01:50:58.662055 : Epoch  1, Batch    748, Loss  1.234572, Average Loss  1.245608, Time  0.441329
2021-09-27 01:51:04.591993 : Epoch  1, Batch    749, Loss  1.231693, Average Loss  1.245486, Time  0.441489
2021-09-27 01:51:10.521729 : Epoch  1, Batch    750, Loss  1.234913, Average Loss  1.245426, Time  0.440677
2021-09-27 01:51:16.437610 : Epoch  1, Batch    751, Loss  1.222617, Average Loss  1.245111, Time  0.438411
2021-09-27 01:51:22.361909 : Epoch  1, Batch    752, Loss  1.227706, Average Loss  1.244951, Time  0.439383
2021-09-27 01:51:28.304157 : Epoch  1, Batch    753, Loss  1.240589, Average Loss  1.244775, Time  0.442812
2021-09-27 01:51:34.221845 : Epoch  1, Batch    754, Loss  1.214625, Average Loss  1.244495, Time  0.440125
2021-09-27 01:51:40.145402 : Epoch  1, Batch    755, Loss  1.229846, Average Loss  1.244312, Time  0.452534
2021-09-27 01:51:46.053763 : Epoch  1, Batch    756, Loss  1.228553, Average Loss  1.244148, Time  0.440563
2021-09-27 01:51:51.971757 : Epoch  1, Batch    757, Loss  1.239310, Average Loss  1.244036, Time  0.439036
2021-09-27 01:51:57.890145 : Epoch  1, Batch    758, Loss  1.232157, Average Loss  1.243829, Time  0.439436
2021-09-27 01:52:03.796980 : Epoch  1, Batch    759, Loss  1.225532, Average Loss  1.243594, Time  0.439010
2021-09-27 01:52:09.716283 : Epoch  1, Batch    760, Loss  1.220378, Average Loss  1.243368, Time  0.439348
2021-09-27 01:52:15.638827 : Epoch  1, Batch    761, Loss  1.229622, Average Loss  1.243225, Time  0.441778
2021-09-27 01:52:21.552793 : Epoch  1, Batch    762, Loss  1.226092, Average Loss  1.243116, Time  0.438658
2021-09-27 01:52:27.490447 : Epoch  1, Batch    763, Loss  1.229129, Average Loss  1.242940, Time  0.448695
2021-09-27 01:52:33.402859 : Epoch  1, Batch    764, Loss  1.230837, Average Loss  1.242809, Time  0.444639
2021-09-27 01:52:39.312876 : Epoch  1, Batch    765, Loss  1.222247, Average Loss  1.242546, Time  0.439135
2021-09-27 01:52:45.237656 : Epoch  1, Batch    766, Loss  1.209446, Average Loss  1.242310, Time  0.439611
2021-09-27 01:52:51.152985 : Epoch  1, Batch    767, Loss  1.234356, Average Loss  1.242144, Time  0.438962
2021-09-27 01:52:57.046488 : Epoch  1, Batch    768, Loss  1.211414, Average Loss  1.241881, Time  0.443521
2021-09-27 01:53:02.947190 : Epoch  1, Batch    769, Loss  1.222337, Average Loss  1.241644, Time  0.441361
2021-09-27 01:53:08.850010 : Epoch  1, Batch    770, Loss  1.223844, Average Loss  1.241390, Time  0.441660
2021-09-27 01:53:14.765908 : Epoch  1, Batch    771, Loss  1.223382, Average Loss  1.241154, Time  0.449300
2021-09-27 01:53:20.681485 : Epoch  1, Batch    772, Loss  1.223811, Average Loss  1.241013, Time  0.439965
2021-09-27 01:53:26.596056 : Epoch  1, Batch    773, Loss  1.236468, Average Loss  1.240886, Time  0.441480
2021-09-27 01:53:32.506789 : Epoch  1, Batch    774, Loss  1.226140, Average Loss  1.240707, Time  0.439106
2021-09-27 01:53:38.404511 : Epoch  1, Batch    775, Loss  1.223511, Average Loss  1.240499, Time  0.440305
2021-09-27 01:53:44.322207 : Epoch  1, Batch    776, Loss  1.226906, Average Loss  1.240396, Time  0.441975
2021-09-27 01:53:50.234030 : Epoch  1, Batch    777, Loss  1.224298, Average Loss  1.240235, Time  0.438842
2021-09-27 01:53:56.157857 : Epoch  1, Batch    778, Loss  1.231227, Average Loss  1.240054, Time  0.439136
2021-09-27 01:54:02.084762 : Epoch  1, Batch    779, Loss  1.220147, Average Loss  1.239854, Time  0.444704
2021-09-27 01:54:08.015412 : Epoch  1, Batch    780, Loss  1.224547, Average Loss  1.239718, Time  0.439203
2021-09-27 01:54:13.938129 : Epoch  1, Batch    781, Loss  1.236010, Average Loss  1.239500, Time  0.442189
2021-09-27 01:54:19.848260 : Epoch  1, Batch    782, Loss  1.205264, Average Loss  1.239279, Time  0.441333
2021-09-27 01:54:25.764653 : Epoch  1, Batch    783, Loss  1.236291, Average Loss  1.239137, Time  0.439923
2021-09-27 01:54:31.696757 : Epoch  1, Batch    784, Loss  1.224444, Average Loss  1.238868, Time  0.442575
2021-09-27 01:54:37.615941 : Epoch  1, Batch    785, Loss  1.223037, Average Loss  1.238657, Time  0.438648
2021-09-27 01:54:43.545365 : Epoch  1, Batch    786, Loss  1.235753, Average Loss  1.238494, Time  0.440081
2021-09-27 01:54:49.474268 : Epoch  1, Batch    787, Loss  1.226164, Average Loss  1.238345, Time  0.452925
2021-09-27 01:54:55.402022 : Epoch  1, Batch    788, Loss  1.232979, Average Loss  1.238277, Time  0.439957
2021-09-27 01:55:01.325021 : Epoch  1, Batch    789, Loss  1.219046, Average Loss  1.238060, Time  0.441410
2021-09-27 01:55:07.239774 : Epoch  1, Batch    790, Loss  1.215086, Average Loss  1.237829, Time  0.438556
2021-09-27 01:55:13.140874 : Epoch  1, Batch    791, Loss  1.220153, Average Loss  1.237610, Time  0.439024
2021-09-27 01:55:19.070150 : Epoch  1, Batch    792, Loss  1.213906, Average Loss  1.237338, Time  0.443262
2021-09-27 01:55:24.991661 : Epoch  1, Batch    793, Loss  1.231959, Average Loss  1.237132, Time  0.441974
2021-09-27 01:55:30.903776 : Epoch  1, Batch    794, Loss  1.225153, Average Loss  1.236956, Time  0.439224
2021-09-27 01:55:36.835527 : Epoch  1, Batch    795, Loss  1.230693, Average Loss  1.236917, Time  0.446843
2021-09-27 01:55:42.753954 : Epoch  1, Batch    796, Loss  1.225815, Average Loss  1.236730, Time  0.439739
2021-09-27 01:55:48.688811 : Epoch  1, Batch    797, Loss  1.237405, Average Loss  1.236615, Time  0.439201
2021-09-27 01:55:54.604629 : Epoch  1, Batch    798, Loss  1.209469, Average Loss  1.236308, Time  0.439691
2021-09-27 01:56:00.535176 : Epoch  1, Batch    799, Loss  1.219127, Average Loss  1.236155, Time  0.440485
2021-09-27 01:56:06.484316 : Epoch  1, Batch    800, Loss  1.252375, Average Loss  1.236248, Time  0.439419
2021-09-27 02:00:43.103454 : CheckPoint: Validation Loss  0.00020726, Best Loss  0.00020726
2021-09-27 02:00:43.138638 : Best Model Updated
2021-09-27 02:00:49.663638 : Epoch  1, Batch    801, Loss  1.227421, Average Loss  1.236098, Time  0.438936
2021-09-27 02:00:55.576204 : Epoch  1, Batch    802, Loss  1.237246, Average Loss  1.235998, Time  0.439414
2021-09-27 02:01:01.517115 : Epoch  1, Batch    803, Loss  1.240123, Average Loss  1.235973, Time  0.448697
2021-09-27 02:01:07.431846 : Epoch  1, Batch    804, Loss  1.221919, Average Loss  1.235754, Time  0.439188
2021-09-27 02:01:13.345284 : Epoch  1, Batch    805, Loss  1.228250, Average Loss  1.235571, Time  0.442345
2021-09-27 02:01:19.262008 : Epoch  1, Batch    806, Loss  1.229056, Average Loss  1.235569, Time  0.438961
2021-09-27 02:01:25.182608 : Epoch  1, Batch    807, Loss  1.237507, Average Loss  1.235553, Time  0.442877
2021-09-27 02:01:31.091452 : Epoch  1, Batch    808, Loss  1.231985, Average Loss  1.235455, Time  0.439840
2021-09-27 02:01:37.016803 : Epoch  1, Batch    809, Loss  1.228012, Average Loss  1.235334, Time  0.439342
2021-09-27 02:01:42.951621 : Epoch  1, Batch    810, Loss  1.223697, Average Loss  1.235209, Time  0.439168
2021-09-27 02:01:48.887932 : Epoch  1, Batch    811, Loss  1.237700, Average Loss  1.235166, Time  0.456820
2021-09-27 02:01:54.812947 : Epoch  1, Batch    812, Loss  1.231991, Average Loss  1.234956, Time  0.440509
2021-09-27 02:02:00.717741 : Epoch  1, Batch    813, Loss  1.225323, Average Loss  1.234845, Time  0.439164
2021-09-27 02:02:06.644795 : Epoch  1, Batch    814, Loss  1.230463, Average Loss  1.234790, Time  0.441849
2021-09-27 02:02:12.547465 : Epoch  1, Batch    815, Loss  1.228047, Average Loss  1.234691, Time  0.439831
2021-09-27 02:02:18.496022 : Epoch  1, Batch    816, Loss  1.217220, Average Loss  1.234561, Time  0.439350
2021-09-27 02:02:24.402511 : Epoch  1, Batch    817, Loss  1.217260, Average Loss  1.234395, Time  0.443759
2021-09-27 02:02:30.319829 : Epoch  1, Batch    818, Loss  1.213267, Average Loss  1.234184, Time  0.439290
2021-09-27 02:02:36.237640 : Epoch  1, Batch    819, Loss  1.232323, Average Loss  1.234122, Time  0.452897
2021-09-27 02:02:42.289787 : Epoch  1, Batch    820, Loss  1.228432, Average Loss  1.234030, Time  0.439347
2021-09-27 02:02:48.225786 : Epoch  1, Batch    821, Loss  1.230926, Average Loss  1.233881, Time  0.443619
2021-09-27 02:02:54.131952 : Epoch  1, Batch    822, Loss  1.226064, Average Loss  1.233783, Time  0.440452
2021-09-27 02:03:00.039028 : Epoch  1, Batch    823, Loss  1.235907, Average Loss  1.233667, Time  0.441636
2021-09-27 02:03:05.954489 : Epoch  1, Batch    824, Loss  1.212225, Average Loss  1.233462, Time  0.442939
2021-09-27 02:03:11.868735 : Epoch  1, Batch    825, Loss  1.207370, Average Loss  1.233285, Time  0.438426
2021-09-27 02:03:17.769752 : Epoch  1, Batch    826, Loss  1.230822, Average Loss  1.233196, Time  0.438527
2021-09-27 02:03:23.698249 : Epoch  1, Batch    827, Loss  1.228122, Average Loss  1.233061, Time  0.451979
2021-09-27 02:03:29.609599 : Epoch  1, Batch    828, Loss  1.217783, Average Loss  1.232890, Time  0.440430
2021-09-27 02:03:35.521785 : Epoch  1, Batch    829, Loss  1.228242, Average Loss  1.232751, Time  0.439204
2021-09-27 02:03:41.414239 : Epoch  1, Batch    830, Loss  1.233759, Average Loss  1.232730, Time  0.440403
2021-09-27 02:03:47.366791 : Epoch  1, Batch    831, Loss  1.218111, Average Loss  1.232608, Time  0.444954
2021-09-27 02:03:53.275827 : Epoch  1, Batch    832, Loss  1.208006, Average Loss  1.232454, Time  0.439570
2021-09-27 02:03:59.198315 : Epoch  1, Batch    833, Loss  1.219449, Average Loss  1.232332, Time  0.439292
2021-09-27 02:04:05.120496 : Epoch  1, Batch    834, Loss  1.233760, Average Loss  1.232234, Time  0.440417
2021-09-27 02:04:11.072651 : Epoch  1, Batch    835, Loss  1.218692, Average Loss  1.232111, Time  0.454530
2021-09-27 02:04:16.997884 : Epoch  1, Batch    836, Loss  1.218838, Average Loss  1.232000, Time  0.439659
2021-09-27 02:04:22.909778 : Epoch  1, Batch    837, Loss  1.207184, Average Loss  1.231841, Time  0.442309
2021-09-27 02:04:28.824851 : Epoch  1, Batch    838, Loss  1.228868, Average Loss  1.231898, Time  0.440517
2021-09-27 02:04:34.740017 : Epoch  1, Batch    839, Loss  1.208920, Average Loss  1.231735, Time  0.442153
2021-09-27 02:04:40.640190 : Epoch  1, Batch    840, Loss  1.223801, Average Loss  1.231607, Time  0.439012
2021-09-27 02:04:46.554763 : Epoch  1, Batch    841, Loss  1.227595, Average Loss  1.231541, Time  0.439165
2021-09-27 02:04:52.470831 : Epoch  1, Batch    842, Loss  1.219369, Average Loss  1.231388, Time  0.441685
2021-09-27 02:04:58.401843 : Epoch  1, Batch    843, Loss  1.219149, Average Loss  1.231282, Time  0.454518
2021-09-27 02:05:04.315180 : Epoch  1, Batch    844, Loss  1.219978, Average Loss  1.231284, Time  0.439628
2021-09-27 02:05:10.256742 : Epoch  1, Batch    845, Loss  1.232534, Average Loss  1.231166, Time  0.441931
2021-09-27 02:05:16.162946 : Epoch  1, Batch    846, Loss  1.226729, Average Loss  1.230990, Time  0.441358
2021-09-27 02:05:22.075048 : Epoch  1, Batch    847, Loss  1.206426, Average Loss  1.230815, Time  0.438995
2021-09-27 02:05:27.995819 : Epoch  1, Batch    848, Loss  1.228238, Average Loss  1.230738, Time  0.439213
2021-09-27 02:05:33.907118 : Epoch  1, Batch    849, Loss  1.214503, Average Loss  1.230567, Time  0.440633
2021-09-27 02:05:39.823631 : Epoch  1, Batch    850, Loss  1.232042, Average Loss  1.230475, Time  0.440185
2021-09-27 02:05:45.752848 : Epoch  1, Batch    851, Loss  1.246509, Average Loss  1.230482, Time  0.450416
2021-09-27 02:05:51.667772 : Epoch  1, Batch    852, Loss  1.221620, Average Loss  1.230328, Time  0.440822
2021-09-27 02:05:57.568639 : Epoch  1, Batch    853, Loss  1.217042, Average Loss  1.230199, Time  0.438344
2021-09-27 02:06:03.487629 : Epoch  1, Batch    854, Loss  1.228584, Average Loss  1.230060, Time  0.439555
2021-09-27 02:06:09.400742 : Epoch  1, Batch    855, Loss  1.225112, Average Loss  1.229979, Time  0.438665
2021-09-27 02:06:15.311909 : Epoch  1, Batch    856, Loss  1.228391, Average Loss  1.229875, Time  0.439121
2021-09-27 02:06:21.206734 : Epoch  1, Batch    857, Loss  1.198878, Average Loss  1.229583, Time  0.440361
2021-09-27 02:06:27.113653 : Epoch  1, Batch    858, Loss  1.206868, Average Loss  1.229472, Time  0.441251
2021-09-27 02:06:33.034792 : Epoch  1, Batch    859, Loss  1.197954, Average Loss  1.229167, Time  0.452666
2021-09-27 02:06:38.927816 : Epoch  1, Batch    860, Loss  1.224622, Average Loss  1.229130, Time  0.440096
2021-09-27 02:06:44.850858 : Epoch  1, Batch    861, Loss  1.230475, Average Loss  1.229008, Time  0.440085
2021-09-27 02:06:50.747810 : Epoch  1, Batch    862, Loss  1.216657, Average Loss  1.228961, Time  0.439754
2021-09-27 02:06:56.667250 : Epoch  1, Batch    863, Loss  1.228704, Average Loss  1.228879, Time  0.446184
2021-09-27 02:07:02.574829 : Epoch  1, Batch    864, Loss  1.207996, Average Loss  1.228746, Time  0.438728
2021-09-27 02:07:08.499750 : Epoch  1, Batch    865, Loss  1.218894, Average Loss  1.228616, Time  0.440163
2021-09-27 02:07:14.427622 : Epoch  1, Batch    866, Loss  1.218416, Average Loss  1.228481, Time  0.457274
2021-09-27 02:07:20.348624 : Epoch  1, Batch    867, Loss  1.205338, Average Loss  1.228245, Time  0.440590
2021-09-27 02:07:26.261478 : Epoch  1, Batch    868, Loss  1.204749, Average Loss  1.228046, Time  0.442239
2021-09-27 02:07:32.168598 : Epoch  1, Batch    869, Loss  1.224522, Average Loss  1.228016, Time  0.440840
2021-09-27 02:07:38.085785 : Epoch  1, Batch    870, Loss  1.235904, Average Loss  1.228027, Time  0.439143
2021-09-27 02:07:44.000407 : Epoch  1, Batch    871, Loss  1.224877, Average Loss  1.227973, Time  0.439983
2021-09-27 02:07:49.912885 : Epoch  1, Batch    872, Loss  1.222409, Average Loss  1.227817, Time  0.440929
2021-09-27 02:07:55.816770 : Epoch  1, Batch    873, Loss  1.218434, Average Loss  1.227669, Time  0.440822
2021-09-27 02:08:01.726888 : Epoch  1, Batch    874, Loss  1.222836, Average Loss  1.227563, Time  0.456846
2021-09-27 02:08:07.642319 : Epoch  1, Batch    875, Loss  1.212413, Average Loss  1.227401, Time  0.438945
2021-09-27 02:08:13.550126 : Epoch  1, Batch    876, Loss  1.223670, Average Loss  1.227320, Time  0.439209
2021-09-27 02:08:19.450229 : Epoch  1, Batch    877, Loss  1.217173, Average Loss  1.227267, Time  0.438922
2021-09-27 02:08:25.355857 : Epoch  1, Batch    878, Loss  1.225808, Average Loss  1.227204, Time  0.440133
2021-09-27 02:08:31.265199 : Epoch  1, Batch    879, Loss  1.209126, Average Loss  1.227084, Time  0.439865
2021-09-27 02:08:37.196747 : Epoch  1, Batch    880, Loss  1.205566, Average Loss  1.226925, Time  0.438611
2021-09-27 02:08:43.089192 : Epoch  1, Batch    881, Loss  1.220880, Average Loss  1.226868, Time  0.438900
2021-09-27 02:08:49.022441 : Epoch  1, Batch    882, Loss  1.212905, Average Loss  1.226757, Time  0.456610
2021-09-27 02:08:54.936852 : Epoch  1, Batch    883, Loss  1.231835, Average Loss  1.226717, Time  0.439641
2021-09-27 02:09:00.847834 : Epoch  1, Batch    884, Loss  1.241294, Average Loss  1.226709, Time  0.438549
2021-09-27 02:09:06.741479 : Epoch  1, Batch    885, Loss  1.239170, Average Loss  1.226782, Time  0.439245
2021-09-27 02:09:12.645286 : Epoch  1, Batch    886, Loss  1.236239, Average Loss  1.226806, Time  0.440535
2021-09-27 02:09:18.538831 : Epoch  1, Batch    887, Loss  1.206848, Average Loss  1.226668, Time  0.441880
2021-09-27 02:09:24.442978 : Epoch  1, Batch    888, Loss  1.219802, Average Loss  1.226635, Time  0.439604
2021-09-27 02:09:30.351993 : Epoch  1, Batch    889, Loss  1.229144, Average Loss  1.226521, Time  0.441463
2021-09-27 02:09:36.262298 : Epoch  1, Batch    890, Loss  1.215590, Average Loss  1.226437, Time  0.448133
2021-09-27 02:09:42.172232 : Epoch  1, Batch    891, Loss  1.214424, Average Loss  1.226388, Time  0.439794
2021-09-27 02:09:48.079180 : Epoch  1, Batch    892, Loss  1.226965, Average Loss  1.226308, Time  0.440508
2021-09-27 02:09:53.982117 : Epoch  1, Batch    893, Loss  1.200462, Average Loss  1.226066, Time  0.441124
2021-09-27 02:09:59.878905 : Epoch  1, Batch    894, Loss  1.210991, Average Loss  1.225869, Time  0.440317
2021-09-27 02:10:05.795503 : Epoch  1, Batch    895, Loss  1.213123, Average Loss  1.225728, Time  0.439877
2021-09-27 02:10:11.708737 : Epoch  1, Batch    896, Loss  1.202649, Average Loss  1.225550, Time  0.438860
2021-09-27 02:10:17.621910 : Epoch  1, Batch    897, Loss  1.225749, Average Loss  1.225566, Time  0.440840
2021-09-27 02:10:23.533659 : Epoch  1, Batch    898, Loss  1.223731, Average Loss  1.225468, Time  0.450014
2021-09-27 02:10:29.457969 : Epoch  1, Batch    899, Loss  1.235104, Average Loss  1.225469, Time  0.441781
2021-09-27 02:10:35.360905 : Epoch  1, Batch    900, Loss  1.229532, Average Loss  1.225448, Time  0.439024
2021-09-27 02:15:12.039523 : CheckPoint: Validation Loss  0.00021480, Best Loss  0.00020726
2021-09-27 02:15:17.929463 : Epoch  1, Batch    901, Loss  1.211535, Average Loss  1.225349, Time  0.439732
2021-09-27 02:15:23.847506 : Epoch  1, Batch    902, Loss  1.228980, Average Loss  1.225404, Time  0.445860
2021-09-27 02:15:29.738804 : Epoch  1, Batch    903, Loss  1.211502, Average Loss  1.225277, Time  0.439040
2021-09-27 02:15:35.633184 : Epoch  1, Batch    904, Loss  1.231458, Average Loss  1.225246, Time  0.440744
2021-09-27 02:15:41.516948 : Epoch  1, Batch    905, Loss  1.206889, Average Loss  1.225107, Time  0.438966
2021-09-27 02:15:47.407832 : Epoch  1, Batch    906, Loss  1.216347, Average Loss  1.224971, Time  0.449354
2021-09-27 02:15:53.301276 : Epoch  1, Batch    907, Loss  1.222907, Average Loss  1.224902, Time  0.440008
2021-09-27 02:15:59.209780 : Epoch  1, Batch    908, Loss  1.227991, Average Loss  1.224897, Time  0.443945
2021-09-27 02:16:05.090740 : Epoch  1, Batch    909, Loss  1.220003, Average Loss  1.224836, Time  0.440172
2021-09-27 02:16:10.974790 : Epoch  1, Batch    910, Loss  1.213990, Average Loss  1.224715, Time  0.439135
2021-09-27 02:16:16.848703 : Epoch  1, Batch    911, Loss  1.201426, Average Loss  1.224540, Time  0.440533
2021-09-27 02:16:22.728845 : Epoch  1, Batch    912, Loss  1.212671, Average Loss  1.224508, Time  0.443566
2021-09-27 02:16:28.623682 : Epoch  1, Batch    913, Loss  1.227149, Average Loss  1.224458, Time  0.439859
2021-09-27 02:16:34.521209 : Epoch  1, Batch    914, Loss  1.219087, Average Loss  1.224375, Time  0.452547
2021-09-27 02:16:40.409791 : Epoch  1, Batch    915, Loss  1.222376, Average Loss  1.224347, Time  0.442673
2021-09-27 02:16:46.298816 : Epoch  1, Batch    916, Loss  1.216294, Average Loss  1.224197, Time  0.439766
2021-09-27 02:16:52.183293 : Epoch  1, Batch    917, Loss  1.222051, Average Loss  1.224131, Time  0.444136
2021-09-27 02:16:58.069789 : Epoch  1, Batch    918, Loss  1.218278, Average Loss  1.224169, Time  0.440611
2021-09-27 02:17:03.962852 : Epoch  1, Batch    919, Loss  1.213219, Average Loss  1.224086, Time  0.445411
2021-09-27 02:17:09.853203 : Epoch  1, Batch    920, Loss  1.224228, Average Loss  1.224077, Time  0.438811
2021-09-27 02:17:15.746872 : Epoch  1, Batch    921, Loss  1.231219, Average Loss  1.224051, Time  0.444591
2021-09-27 02:17:21.655559 : Epoch  1, Batch    922, Loss  1.212123, Average Loss  1.223973, Time  0.449638
2021-09-27 02:17:27.548993 : Epoch  1, Batch    923, Loss  1.219319, Average Loss  1.224006, Time  0.439894
2021-09-27 02:17:33.436336 : Epoch  1, Batch    924, Loss  1.221718, Average Loss  1.223933, Time  0.441288
2021-09-27 02:17:39.325203 : Epoch  1, Batch    925, Loss  1.223635, Average Loss  1.223850, Time  0.441133
2021-09-27 02:17:45.216824 : Epoch  1, Batch    926, Loss  1.213719, Average Loss  1.223642, Time  0.442429
2021-09-27 02:17:51.095907 : Epoch  1, Batch    927, Loss  1.214003, Average Loss  1.223588, Time  0.438557
2021-09-27 02:17:56.991731 : Epoch  1, Batch    928, Loss  1.230559, Average Loss  1.223574, Time  0.439841
2021-09-27 02:17:57.023334 : Saving Model after 1-th Epoch.
2021-09-27 02:17:57.828360 : Epoch Finished.
2021-09-27 02:18:03.423707 : Batch Shuffled
2021-09-27 02:18:09.322546 : Epoch  2, Batch      1, Loss  1.202908, Average Loss  1.223438, Time  0.453088
2021-09-27 02:18:15.246161 : Epoch  2, Batch      2, Loss  1.218525, Average Loss  1.223452, Time  0.439048
2021-09-27 02:18:21.159658 : Epoch  2, Batch      3, Loss  1.210819, Average Loss  1.223319, Time  0.439847
2021-09-27 02:18:27.100593 : Epoch  2, Batch      4, Loss  1.212790, Average Loss  1.223190, Time  0.443177
2021-09-27 02:18:33.031016 : Epoch  2, Batch      5, Loss  1.203105, Average Loss  1.223113, Time  0.440229
2021-09-27 02:18:38.963564 : Epoch  2, Batch      6, Loss  1.221752, Average Loss  1.223056, Time  0.440029
2021-09-27 02:18:44.879237 : Epoch  2, Batch      7, Loss  1.220427, Average Loss  1.223038, Time  0.440494
2021-09-27 02:18:50.813172 : Epoch  2, Batch      8, Loss  1.230881, Average Loss  1.223116, Time  0.455897
2021-09-27 02:18:56.742791 : Epoch  2, Batch      9, Loss  1.246440, Average Loss  1.223220, Time  0.441926
2021-09-27 02:19:02.657806 : Epoch  2, Batch     10, Loss  1.214153, Average Loss  1.223156, Time  0.441010
2021-09-27 02:19:08.577788 : Epoch  2, Batch     11, Loss  1.227125, Average Loss  1.223182, Time  0.436476
2021-09-27 02:19:14.485330 : Epoch  2, Batch     12, Loss  1.199170, Average Loss  1.222942, Time  0.438846
2021-09-27 02:19:20.396623 : Epoch  2, Batch     13, Loss  1.200198, Average Loss  1.222774, Time  0.441171
2021-09-27 02:19:26.324572 : Epoch  2, Batch     14, Loss  1.233048, Average Loss  1.222775, Time  0.440941
2021-09-27 02:19:32.243253 : Epoch  2, Batch     15, Loss  1.221043, Average Loss  1.222728, Time  0.440165
2021-09-27 02:19:38.174725 : Epoch  2, Batch     16, Loss  1.210070, Average Loss  1.222689, Time  0.448979
2021-09-27 02:19:44.107767 : Epoch  2, Batch     17, Loss  1.198621, Average Loss  1.222531, Time  0.440440
2021-09-27 02:19:50.028048 : Epoch  2, Batch     18, Loss  1.215041, Average Loss  1.222517, Time  0.439666
2021-09-27 02:19:55.949721 : Epoch  2, Batch     19, Loss  1.219763, Average Loss  1.222398, Time  0.440830
2021-09-27 02:20:01.878604 : Epoch  2, Batch     20, Loss  1.206048, Average Loss  1.222255, Time  0.438372
2021-09-27 02:20:07.799481 : Epoch  2, Batch     21, Loss  1.202954, Average Loss  1.222112, Time  0.439924
2021-09-27 02:20:13.723021 : Epoch  2, Batch     22, Loss  1.219295, Average Loss  1.222033, Time  0.438688
2021-09-27 02:20:19.664824 : Epoch  2, Batch     23, Loss  1.218686, Average Loss  1.222014, Time  0.439985
2021-09-27 02:20:25.604621 : Epoch  2, Batch     24, Loss  1.224235, Average Loss  1.221996, Time  0.451893
2021-09-27 02:20:31.548859 : Epoch  2, Batch     25, Loss  1.210658, Average Loss  1.221847, Time  0.440852
2021-09-27 02:20:37.459438 : Epoch  2, Batch     26, Loss  1.222037, Average Loss  1.221884, Time  0.438578
2021-09-27 02:20:43.405798 : Epoch  2, Batch     27, Loss  1.200878, Average Loss  1.221739, Time  0.440376
2021-09-27 02:20:49.335725 : Epoch  2, Batch     28, Loss  1.218300, Average Loss  1.221688, Time  0.439069
2021-09-27 02:20:55.267518 : Epoch  2, Batch     29, Loss  1.222775, Average Loss  1.221605, Time  0.438744
2021-09-27 02:21:01.189018 : Epoch  2, Batch     30, Loss  1.221097, Average Loss  1.221550, Time  0.440580
2021-09-27 02:21:07.122773 : Epoch  2, Batch     31, Loss  1.216050, Average Loss  1.221502, Time  0.442271
2021-09-27 02:21:13.055523 : Epoch  2, Batch     32, Loss  1.220541, Average Loss  1.221503, Time  0.453272
2021-09-27 02:21:18.977786 : Epoch  2, Batch     33, Loss  1.200987, Average Loss  1.221360, Time  0.440907
2021-09-27 02:21:24.906937 : Epoch  2, Batch     34, Loss  1.213055, Average Loss  1.221295, Time  0.440316
2021-09-27 02:21:30.838511 : Epoch  2, Batch     35, Loss  1.219962, Average Loss  1.221249, Time  0.442010
2021-09-27 02:21:36.773204 : Epoch  2, Batch     36, Loss  1.211815, Average Loss  1.221154, Time  0.438692
2021-09-27 02:21:42.701460 : Epoch  2, Batch     37, Loss  1.222319, Average Loss  1.221154, Time  0.441900
2021-09-27 02:21:48.636935 : Epoch  2, Batch     38, Loss  1.220045, Average Loss  1.221207, Time  0.438903
2021-09-27 02:21:54.576270 : Epoch  2, Batch     39, Loss  1.232849, Average Loss  1.221200, Time  0.449326
2021-09-27 02:22:00.508199 : Epoch  2, Batch     40, Loss  1.227664, Average Loss  1.221281, Time  0.440304
2021-09-27 02:22:06.430805 : Epoch  2, Batch     41, Loss  1.220357, Average Loss  1.221271, Time  0.440817
2021-09-27 02:22:12.356666 : Epoch  2, Batch     42, Loss  1.200810, Average Loss  1.221156, Time  0.438855
2021-09-27 02:22:18.253652 : Epoch  2, Batch     43, Loss  1.203061, Average Loss  1.221054, Time  0.440365
2021-09-27 02:22:24.179754 : Epoch  2, Batch     44, Loss  1.236569, Average Loss  1.221118, Time  0.441778
2021-09-27 02:22:30.098826 : Epoch  2, Batch     45, Loss  1.226332, Average Loss  1.221067, Time  0.441779
2021-09-27 02:22:36.019707 : Epoch  2, Batch     46, Loss  1.207440, Average Loss  1.220974, Time  0.438997
2021-09-27 02:22:41.964459 : Epoch  2, Batch     47, Loss  1.225979, Average Loss  1.220986, Time  0.451506
2021-09-27 02:22:47.893889 : Epoch  2, Batch     48, Loss  1.226737, Average Loss  1.220985, Time  0.439954
2021-09-27 02:22:53.820551 : Epoch  2, Batch     49, Loss  1.224420, Average Loss  1.220986, Time  0.440781
2021-09-27 02:22:59.739801 : Epoch  2, Batch     50, Loss  1.224794, Average Loss  1.220954, Time  0.438811
2021-09-27 02:23:05.663519 : Epoch  2, Batch     51, Loss  1.204813, Average Loss  1.220877, Time  0.440969
2021-09-27 02:23:11.582935 : Epoch  2, Batch     52, Loss  1.231663, Average Loss  1.220913, Time  0.439241
2021-09-27 02:23:17.500972 : Epoch  2, Batch     53, Loss  1.223198, Average Loss  1.220849, Time  0.441687
2021-09-27 02:23:23.424469 : Epoch  2, Batch     54, Loss  1.191341, Average Loss  1.220779, Time  0.439155
2021-09-27 02:23:29.372920 : Epoch  2, Batch     55, Loss  1.216111, Average Loss  1.220678, Time  0.455387
2021-09-27 02:23:35.314041 : Epoch  2, Batch     56, Loss  1.220341, Average Loss  1.220658, Time  0.440701
2021-09-27 02:23:41.243593 : Epoch  2, Batch     57, Loss  1.230399, Average Loss  1.220694, Time  0.440544
2021-09-27 02:23:47.163742 : Epoch  2, Batch     58, Loss  1.204643, Average Loss  1.220539, Time  0.440214
2021-09-27 02:23:53.089143 : Epoch  2, Batch     59, Loss  1.204626, Average Loss  1.220431, Time  0.439448
2021-09-27 02:23:59.015798 : Epoch  2, Batch     60, Loss  1.206682, Average Loss  1.220300, Time  0.439377
2021-09-27 02:24:04.949423 : Epoch  2, Batch     61, Loss  1.228035, Average Loss  1.220345, Time  0.439658
2021-09-27 02:24:10.866551 : Epoch  2, Batch     62, Loss  1.223541, Average Loss  1.220387, Time  0.440411
2021-09-27 02:24:16.795619 : Epoch  2, Batch     63, Loss  1.218892, Average Loss  1.220381, Time  0.446291
2021-09-27 02:24:22.726452 : Epoch  2, Batch     64, Loss  1.193747, Average Loss  1.220280, Time  0.438821
2021-09-27 02:24:28.650940 : Epoch  2, Batch     65, Loss  1.215107, Average Loss  1.220196, Time  0.441426
2021-09-27 02:24:34.569606 : Epoch  2, Batch     66, Loss  1.203644, Average Loss  1.220088, Time  0.439255
2021-09-27 02:24:40.498536 : Epoch  2, Batch     67, Loss  1.233500, Average Loss  1.220102, Time  0.442145
2021-09-27 02:24:46.426952 : Epoch  2, Batch     68, Loss  1.223253, Average Loss  1.220089, Time  0.439615
2021-09-27 02:24:52.357787 : Epoch  2, Batch     69, Loss  1.194858, Average Loss  1.219877, Time  0.442647
2021-09-27 02:24:58.298695 : Epoch  2, Batch     70, Loss  1.233086, Average Loss  1.219995, Time  0.443372
2021-09-27 02:25:04.249084 : Epoch  2, Batch     71, Loss  1.213062, Average Loss  1.219964, Time  0.450021
2021-09-27 02:25:15.673482 : Epoch  2, Batch     72, Loss  1.218125, Average Loss  1.219793, Time  0.439700
2021-09-27 02:29:52.643028 : CheckPoint: Validation Loss  0.00020823, Best Loss  0.00020726
2021-09-27 02:29:58.560324 : Epoch  2, Batch     73, Loss  1.197668, Average Loss  1.219644, Time  0.439003
2021-09-27 02:30:04.499934 : Epoch  2, Batch     74, Loss  1.200043, Average Loss  1.219458, Time  0.439645
2021-09-27 02:30:10.457396 : Epoch  2, Batch     75, Loss  1.214321, Average Loss  1.219329, Time  0.439195
2021-09-27 02:30:16.404243 : Epoch  2, Batch     76, Loss  1.212093, Average Loss  1.219280, Time  0.445431
2021-09-27 02:30:22.351778 : Epoch  2, Batch     77, Loss  1.205924, Average Loss  1.219169, Time  0.440799
2021-09-27 02:30:28.296687 : Epoch  2, Batch     78, Loss  1.215839, Average Loss  1.219102, Time  0.446064
2021-09-27 02:30:34.258609 : Epoch  2, Batch     79, Loss  1.204752, Average Loss  1.218939, Time  0.439016
2021-09-27 02:30:40.206941 : Epoch  2, Batch     80, Loss  1.214447, Average Loss  1.218851, Time  0.440343
2021-09-27 02:30:46.161128 : Epoch  2, Batch     81, Loss  1.204419, Average Loss  1.218733, Time  0.441039
2021-09-27 02:30:52.100800 : Epoch  2, Batch     82, Loss  1.213274, Average Loss  1.218681, Time  0.441311
2021-09-27 02:30:58.076945 : Epoch  2, Batch     83, Loss  1.230085, Average Loss  1.218643, Time  0.446114
2021-09-27 02:31:04.011090 : Epoch  2, Batch     84, Loss  1.208255, Average Loss  1.218524, Time  0.440749
2021-09-27 02:31:09.957847 : Epoch  2, Batch     85, Loss  1.206743, Average Loss  1.218431, Time  0.439947
2021-09-27 02:31:15.906050 : Epoch  2, Batch     86, Loss  1.210024, Average Loss  1.218329, Time  0.448985
2021-09-27 02:31:21.854692 : Epoch  2, Batch     87, Loss  1.212498, Average Loss  1.218251, Time  0.439589
2021-09-27 02:31:27.795913 : Epoch  2, Batch     88, Loss  1.211823, Average Loss  1.218224, Time  0.439278
2021-09-27 02:31:33.741378 : Epoch  2, Batch     89, Loss  1.214610, Average Loss  1.218211, Time  0.439266
2021-09-27 02:31:39.672694 : Epoch  2, Batch     90, Loss  1.214888, Average Loss  1.218219, Time  0.440101
2021-09-27 02:31:45.607618 : Epoch  2, Batch     91, Loss  1.206179, Average Loss  1.218088, Time  0.441916
2021-09-27 02:31:51.559462 : Epoch  2, Batch     92, Loss  1.211242, Average Loss  1.218003, Time  0.439701
2021-09-27 02:31:57.499330 : Epoch  2, Batch     93, Loss  1.196337, Average Loss  1.217830, Time  0.438909
2021-09-27 02:32:03.455746 : Epoch  2, Batch     94, Loss  1.206705, Average Loss  1.217733, Time  0.455660
2021-09-27 02:32:09.404151 : Epoch  2, Batch     95, Loss  1.200336, Average Loss  1.217555, Time  0.440656
2021-09-27 02:32:15.339856 : Epoch  2, Batch     96, Loss  1.203803, Average Loss  1.217513, Time  0.439879
2021-09-27 02:32:21.291858 : Epoch  2, Batch     97, Loss  1.209899, Average Loss  1.217525, Time  0.440793
2021-09-27 02:32:27.239958 : Epoch  2, Batch     98, Loss  1.207235, Average Loss  1.217408, Time  0.439504
2021-09-27 02:32:33.188932 : Epoch  2, Batch     99, Loss  1.203210, Average Loss  1.217283, Time  0.442519
2021-09-27 02:32:39.134755 : Epoch  2, Batch    100, Loss  1.222336, Average Loss  1.217306, Time  0.441379
2021-09-27 02:32:45.084882 : Epoch  2, Batch    101, Loss  1.230829, Average Loss  1.217319, Time  0.440876
2021-09-27 02:32:51.049865 : Epoch  2, Batch    102, Loss  1.215157, Average Loss  1.217226, Time  0.456253
2021-09-27 02:32:57.004762 : Epoch  2, Batch    103, Loss  1.210469, Average Loss  1.217187, Time  0.439797
2021-09-27 02:33:02.952295 : Epoch  2, Batch    104, Loss  1.208840, Average Loss  1.217192, Time  0.439631
2021-09-27 02:33:08.880145 : Epoch  2, Batch    105, Loss  1.224371, Average Loss  1.217216, Time  0.438814
2021-09-27 02:33:14.823316 : Epoch  2, Batch    106, Loss  1.214727, Average Loss  1.217121, Time  0.443626
2021-09-27 02:33:20.781784 : Epoch  2, Batch    107, Loss  1.208707, Average Loss  1.217071, Time  0.438979
2021-09-27 02:33:26.724746 : Epoch  2, Batch    108, Loss  1.226453, Average Loss  1.217109, Time  0.439637
2021-09-27 02:33:32.666681 : Epoch  2, Batch    109, Loss  1.214266, Average Loss  1.217145, Time  0.454144
2021-09-27 02:33:38.610760 : Epoch  2, Batch    110, Loss  1.215668, Average Loss  1.217079, Time  0.442346
2021-09-27 02:33:44.554861 : Epoch  2, Batch    111, Loss  1.223635, Average Loss  1.217152, Time  0.443541
2021-09-27 02:33:50.505336 : Epoch  2, Batch    112, Loss  1.225310, Average Loss  1.217160, Time  0.439495
2021-09-27 02:33:56.437588 : Epoch  2, Batch    113, Loss  1.206171, Average Loss  1.217053, Time  0.440907
2021-09-27 02:34:02.399001 : Epoch  2, Batch    114, Loss  1.216633, Average Loss  1.217039, Time  0.439748
2021-09-27 02:34:08.347861 : Epoch  2, Batch    115, Loss  1.206238, Average Loss  1.216974, Time  0.439473
2021-09-27 02:34:14.283970 : Epoch  2, Batch    116, Loss  1.219084, Average Loss  1.216970, Time  0.443716
2021-09-27 02:34:20.220346 : Epoch  2, Batch    117, Loss  1.201718, Average Loss  1.216816, Time  0.449383
2021-09-27 02:34:26.153866 : Epoch  2, Batch    118, Loss  1.211844, Average Loss  1.216741, Time  0.438975
2021-09-27 02:34:32.101937 : Epoch  2, Batch    119, Loss  1.221458, Average Loss  1.216817, Time  0.439568
2021-09-27 02:34:38.035626 : Epoch  2, Batch    120, Loss  1.215563, Average Loss  1.216753, Time  0.440923
2021-09-27 02:34:43.959995 : Epoch  2, Batch    121, Loss  1.221094, Average Loss  1.216786, Time  0.440825
2021-09-27 02:34:49.890540 : Epoch  2, Batch    122, Loss  1.206844, Average Loss  1.216660, Time  0.439890
2021-09-27 02:34:55.841938 : Epoch  2, Batch    123, Loss  1.208420, Average Loss  1.216470, Time  0.439087
2021-09-27 02:35:01.776352 : Epoch  2, Batch    124, Loss  1.215062, Average Loss  1.216437, Time  0.441459
2021-09-27 02:35:07.720404 : Epoch  2, Batch    125, Loss  1.217658, Average Loss  1.216440, Time  0.449233
2021-09-27 02:35:13.688538 : Epoch  2, Batch    126, Loss  1.212964, Average Loss  1.216362, Time  0.438730
2021-09-27 02:35:19.631544 : Epoch  2, Batch    127, Loss  1.233527, Average Loss  1.216404, Time  0.439847
2021-09-27 02:35:25.585541 : Epoch  2, Batch    128, Loss  1.225505, Average Loss  1.216390, Time  0.443992
2021-09-27 02:35:31.527791 : Epoch  2, Batch    129, Loss  1.207365, Average Loss  1.216432, Time  0.438892
2021-09-27 02:35:37.460422 : Epoch  2, Batch    130, Loss  1.218596, Average Loss  1.216491, Time  0.444291
2021-09-27 02:35:43.395502 : Epoch  2, Batch    131, Loss  1.217507, Average Loss  1.216588, Time  0.438559
2021-09-27 02:35:49.334831 : Epoch  2, Batch    132, Loss  1.218519, Average Loss  1.216558, Time  0.440196
2021-09-27 02:35:55.295530 : Epoch  2, Batch    133, Loss  1.215375, Average Loss  1.216482, Time  0.451289
2021-09-27 02:36:01.242284 : Epoch  2, Batch    134, Loss  1.221171, Average Loss  1.216505, Time  0.440961
2021-09-27 02:36:07.179729 : Epoch  2, Batch    135, Loss  1.207063, Average Loss  1.216397, Time  0.439758
2021-09-27 02:36:13.133515 : Epoch  2, Batch    136, Loss  1.204669, Average Loss  1.216380, Time  0.440303
2021-09-27 02:36:19.072590 : Epoch  2, Batch    137, Loss  1.221989, Average Loss  1.216396, Time  0.440226
2021-09-27 02:36:25.029310 : Epoch  2, Batch    138, Loss  1.201763, Average Loss  1.216312, Time  0.442551
2021-09-27 02:36:30.981493 : Epoch  2, Batch    139, Loss  1.211195, Average Loss  1.216342, Time  0.439714
2021-09-27 02:36:36.928819 : Epoch  2, Batch    140, Loss  1.209553, Average Loss  1.216366, Time  0.439333
2021-09-27 02:36:42.879469 : Epoch  2, Batch    141, Loss  1.216831, Average Loss  1.216327, Time  0.452463
2021-09-27 02:36:48.821774 : Epoch  2, Batch    142, Loss  1.222746, Average Loss  1.216261, Time  0.438680
2021-09-27 02:36:54.763311 : Epoch  2, Batch    143, Loss  1.226866, Average Loss  1.216271, Time  0.440131
2021-09-27 02:37:00.712070 : Epoch  2, Batch    144, Loss  1.219288, Average Loss  1.216256, Time  0.439141
2021-09-27 02:37:06.663994 : Epoch  2, Batch    145, Loss  1.225758, Average Loss  1.216292, Time  0.440603
2021-09-27 02:37:12.615835 : Epoch  2, Batch    146, Loss  1.207996, Average Loss  1.216218, Time  0.441254
2021-09-27 02:37:18.562879 : Epoch  2, Batch    147, Loss  1.211937, Average Loss  1.216216, Time  0.439842
2021-09-27 02:37:24.515698 : Epoch  2, Batch    148, Loss  1.190922, Average Loss  1.216052, Time  0.452626
2021-09-27 02:37:30.472755 : Epoch  2, Batch    149, Loss  1.229079, Average Loss  1.216112, Time  0.439798
2021-09-27 02:37:36.432340 : Epoch  2, Batch    150, Loss  1.209804, Average Loss  1.216032, Time  0.440742
2021-09-27 02:37:42.376806 : Epoch  2, Batch    151, Loss  1.218018, Average Loss  1.216076, Time  0.440668
2021-09-27 02:37:48.315285 : Epoch  2, Batch    152, Loss  1.211680, Average Loss  1.216107, Time  0.438432
2021-09-27 02:37:54.263529 : Epoch  2, Batch    153, Loss  1.209693, Average Loss  1.216051, Time  0.441552
2021-09-27 02:38:00.203510 : Epoch  2, Batch    154, Loss  1.201644, Average Loss  1.215994, Time  0.438744
2021-09-27 02:38:06.144770 : Epoch  2, Batch    155, Loss  1.218106, Average Loss  1.215926, Time  0.438856
2021-09-27 02:38:12.115510 : Epoch  2, Batch    156, Loss  1.217378, Average Loss  1.215806, Time  0.453785
2021-09-27 02:38:18.062734 : Epoch  2, Batch    157, Loss  1.214103, Average Loss  1.215681, Time  0.439220
2021-09-27 02:38:24.010215 : Epoch  2, Batch    158, Loss  1.212902, Average Loss  1.215564, Time  0.438315
2021-09-27 02:38:29.965131 : Epoch  2, Batch    159, Loss  1.207840, Average Loss  1.215569, Time  0.440978
2021-09-27 02:38:35.909026 : Epoch  2, Batch    160, Loss  1.212007, Average Loss  1.215530, Time  0.441639
2021-09-27 02:38:41.854410 : Epoch  2, Batch    161, Loss  1.216879, Average Loss  1.215469, Time  0.438569
2021-09-27 02:38:47.794719 : Epoch  2, Batch    162, Loss  1.197211, Average Loss  1.215377, Time  0.439810
2021-09-27 02:38:53.739925 : Epoch  2, Batch    163, Loss  1.217862, Average Loss  1.215394, Time  0.439192
2021-09-27 02:38:59.699685 : Epoch  2, Batch    164, Loss  1.238467, Average Loss  1.215452, Time  0.457564
2021-09-27 02:39:05.641053 : Epoch  2, Batch    165, Loss  1.210454, Average Loss  1.215501, Time  0.440416
2021-09-27 02:39:11.581757 : Epoch  2, Batch    166, Loss  1.222171, Average Loss  1.215557, Time  0.440254
2021-09-27 02:39:17.521181 : Epoch  2, Batch    167, Loss  1.214459, Average Loss  1.215564, Time  0.439730
2021-09-27 02:39:23.457067 : Epoch  2, Batch    168, Loss  1.212073, Average Loss  1.215611, Time  0.440742
2021-09-27 02:39:29.398767 : Epoch  2, Batch    169, Loss  1.205845, Average Loss  1.215512, Time  0.440233
2021-09-27 02:39:35.336623 : Epoch  2, Batch    170, Loss  1.218946, Average Loss  1.215488, Time  0.439889
2021-09-27 02:39:41.292609 : Epoch  2, Batch    171, Loss  1.208567, Average Loss  1.215355, Time  0.441532
2021-09-27 02:39:47.245906 : Epoch  2, Batch    172, Loss  1.217386, Average Loss  1.215294, Time  0.451250
2021-09-27 02:44:23.421021 : CheckPoint: Validation Loss  0.00021136, Best Loss  0.00020726
2021-09-27 02:44:29.317279 : Epoch  2, Batch    173, Loss  1.208046, Average Loss  1.215277, Time  0.453102
2021-09-27 02:44:35.205447 : Epoch  2, Batch    174, Loss  1.221909, Average Loss  1.215242, Time  0.442788
2021-09-27 02:44:41.073459 : Epoch  2, Batch    175, Loss  1.222435, Average Loss  1.215296, Time  0.440088
2021-09-27 02:44:46.955745 : Epoch  2, Batch    176, Loss  1.201859, Average Loss  1.215148, Time  0.438540
2021-09-27 02:44:52.839841 : Epoch  2, Batch    177, Loss  1.194882, Average Loss  1.215088, Time  0.439663
2021-09-27 02:44:58.732822 : Epoch  2, Batch    178, Loss  1.203837, Average Loss  1.215026, Time  0.440570
2021-09-27 02:45:04.622459 : Epoch  2, Batch    179, Loss  1.196047, Average Loss  1.214891, Time  0.440022
2021-09-27 02:45:10.499430 : Epoch  2, Batch    180, Loss  1.207850, Average Loss  1.214791, Time  0.439674
2021-09-27 02:45:16.401981 : Epoch  2, Batch    181, Loss  1.216560, Average Loss  1.214773, Time  0.455875
2021-09-27 02:45:22.290449 : Epoch  2, Batch    182, Loss  1.207490, Average Loss  1.214741, Time  0.440243
2021-09-27 02:45:28.182281 : Epoch  2, Batch    183, Loss  1.210321, Average Loss  1.214785, Time  0.439175
2021-09-27 02:45:34.077507 : Epoch  2, Batch    184, Loss  1.214334, Average Loss  1.214794, Time  0.442552
2021-09-27 02:45:39.966243 : Epoch  2, Batch    185, Loss  1.207590, Average Loss  1.214696, Time  0.440844
2021-09-27 02:45:45.862570 : Epoch  2, Batch    186, Loss  1.204142, Average Loss  1.214621, Time  0.440951
2021-09-27 02:45:51.751339 : Epoch  2, Batch    187, Loss  1.208203, Average Loss  1.214550, Time  0.440545
2021-09-27 02:45:57.644503 : Epoch  2, Batch    188, Loss  1.223153, Average Loss  1.214585, Time  0.440233
2021-09-27 02:46:03.546477 : Epoch  2, Batch    189, Loss  1.225621, Average Loss  1.214602, Time  0.456769
2021-09-27 02:46:09.427293 : Epoch  2, Batch    190, Loss  1.220352, Average Loss  1.214613, Time  0.440488
2021-09-27 02:46:15.321886 : Epoch  2, Batch    191, Loss  1.209396, Average Loss  1.214594, Time  0.443195
2021-09-27 02:46:21.206777 : Epoch  2, Batch    192, Loss  1.210233, Average Loss  1.214524, Time  0.438363
2021-09-27 02:46:27.089677 : Epoch  2, Batch    193, Loss  1.218632, Average Loss  1.214461, Time  0.439358
2021-09-27 02:46:32.982337 : Epoch  2, Batch    194, Loss  1.213729, Average Loss  1.214469, Time  0.439433
2021-09-27 02:46:38.861067 : Epoch  2, Batch    195, Loss  1.203801, Average Loss  1.214391, Time  0.440423
2021-09-27 02:46:44.745730 : Epoch  2, Batch    196, Loss  1.219884, Average Loss  1.214382, Time  0.441029
2021-09-27 02:46:50.639923 : Epoch  2, Batch    197, Loss  1.209852, Average Loss  1.214313, Time  0.453600
2021-09-27 02:46:56.519090 : Epoch  2, Batch    198, Loss  1.215542, Average Loss  1.214322, Time  0.441999
2021-09-27 02:47:02.408824 : Epoch  2, Batch    199, Loss  1.197078, Average Loss  1.214238, Time  0.440435
2021-09-27 02:47:08.279561 : Epoch  2, Batch    200, Loss  1.212756, Average Loss  1.214149, Time  0.441092
2021-09-27 02:47:14.173812 : Epoch  2, Batch    201, Loss  1.212564, Average Loss  1.214197, Time  0.440427
2021-09-27 02:47:20.064962 : Epoch  2, Batch    202, Loss  1.218796, Average Loss  1.214198, Time  0.439000
2021-09-27 02:47:25.939056 : Epoch  2, Batch    203, Loss  1.209823, Average Loss  1.214193, Time  0.441061
2021-09-27 02:47:31.822309 : Epoch  2, Batch    204, Loss  1.212996, Average Loss  1.214194, Time  0.440255
2021-09-27 02:47:37.716754 : Epoch  2, Batch    205, Loss  1.231641, Average Loss  1.214337, Time  0.448409
2021-09-27 02:47:43.618513 : Epoch  2, Batch    206, Loss  1.215691, Average Loss  1.214307, Time  0.450154
2021-09-27 02:47:49.507866 : Epoch  2, Batch    207, Loss  1.196290, Average Loss  1.214186, Time  0.443530
2021-09-27 02:47:55.398720 : Epoch  2, Batch    208, Loss  1.193570, Average Loss  1.213999, Time  0.439035
2021-09-27 02:48:01.292542 : Epoch  2, Batch    209, Loss  1.201069, Average Loss  1.213773, Time  0.442414
2021-09-27 02:48:07.184698 : Epoch  2, Batch    210, Loss  1.214880, Average Loss  1.213776, Time  0.438909
2021-09-27 02:48:13.070182 : Epoch  2, Batch    211, Loss  1.216361, Average Loss  1.213722, Time  0.441413
2021-09-27 02:48:18.945872 : Epoch  2, Batch    212, Loss  1.224672, Average Loss  1.213850, Time  0.438788
2021-09-27 02:48:24.846165 : Epoch  2, Batch    213, Loss  1.209132, Average Loss  1.213895, Time  0.451115
2021-09-27 02:48:30.739782 : Epoch  2, Batch    214, Loss  1.224092, Average Loss  1.213850, Time  0.443360
2021-09-27 02:48:36.631433 : Epoch  2, Batch    215, Loss  1.206383, Average Loss  1.213776, Time  0.438625
2021-09-27 02:48:42.530774 : Epoch  2, Batch    216, Loss  1.222168, Average Loss  1.213837, Time  0.439668
2021-09-27 02:48:48.410935 : Epoch  2, Batch    217, Loss  1.208733, Average Loss  1.213888, Time  0.438934
2021-09-27 02:48:54.306862 : Epoch  2, Batch    218, Loss  1.203899, Average Loss  1.213832, Time  0.441345
2021-09-27 02:49:00.198046 : Epoch  2, Batch    219, Loss  1.210407, Average Loss  1.213785, Time  0.441044
2021-09-27 02:49:06.089171 : Epoch  2, Batch    220, Loss  1.210778, Average Loss  1.213809, Time  0.439838
2021-09-27 02:49:11.994049 : Epoch  2, Batch    221, Loss  1.213237, Average Loss  1.213860, Time  0.445217
2021-09-27 02:49:17.893891 : Epoch  2, Batch    222, Loss  1.220900, Average Loss  1.213868, Time  0.440235
2021-09-27 02:49:23.799158 : Epoch  2, Batch    223, Loss  1.215784, Average Loss  1.213854, Time  0.439841
2021-09-27 02:49:29.696021 : Epoch  2, Batch    224, Loss  1.216879, Average Loss  1.213817, Time  0.442224
2021-09-27 02:49:35.581804 : Epoch  2, Batch    225, Loss  1.207190, Average Loss  1.213799, Time  0.440752
2021-09-27 02:49:41.469680 : Epoch  2, Batch    226, Loss  1.216671, Average Loss  1.213773, Time  0.439295
2021-09-27 02:49:47.359611 : Epoch  2, Batch    227, Loss  1.206449, Average Loss  1.213801, Time  0.441733
2021-09-27 02:49:53.239911 : Epoch  2, Batch    228, Loss  1.210804, Average Loss  1.213763, Time  0.439893
2021-09-27 02:49:59.140727 : Epoch  2, Batch    229, Loss  1.206246, Average Loss  1.213680, Time  0.452785
2021-09-27 02:50:05.025867 : Epoch  2, Batch    230, Loss  1.227155, Average Loss  1.213711, Time  0.440269
2021-09-27 02:50:10.924783 : Epoch  2, Batch    231, Loss  1.232039, Average Loss  1.213791, Time  0.438799
2021-09-27 02:50:16.807798 : Epoch  2, Batch    232, Loss  1.200027, Average Loss  1.213688, Time  0.442284
2021-09-27 02:50:22.696965 : Epoch  2, Batch    233, Loss  1.221626, Average Loss  1.213791, Time  0.438968
2021-09-27 02:50:28.579794 : Epoch  2, Batch    234, Loss  1.209025, Average Loss  1.213771, Time  0.439460
2021-09-27 02:50:34.456532 : Epoch  2, Batch    235, Loss  1.214282, Average Loss  1.213743, Time  0.438578
2021-09-27 02:50:40.344801 : Epoch  2, Batch    236, Loss  1.226584, Average Loss  1.213817, Time  0.438623
2021-09-27 02:50:46.246902 : Epoch  2, Batch    237, Loss  1.214125, Average Loss  1.213776, Time  0.447304
2021-09-27 02:50:52.134847 : Epoch  2, Batch    238, Loss  1.193432, Average Loss  1.213643, Time  0.438596
2021-09-27 02:50:58.027957 : Epoch  2, Batch    239, Loss  1.217721, Average Loss  1.213567, Time  0.439497
2021-09-27 02:51:03.922612 : Epoch  2, Batch    240, Loss  1.212184, Average Loss  1.213489, Time  0.439240
2021-09-27 02:51:09.801849 : Epoch  2, Batch    241, Loss  1.206388, Average Loss  1.213420, Time  0.438990
2021-09-27 02:51:15.686830 : Epoch  2, Batch    242, Loss  1.222282, Average Loss  1.213527, Time  0.439640
2021-09-27 02:51:21.571468 : Epoch  2, Batch    243, Loss  1.213686, Average Loss  1.213580, Time  0.443578
2021-09-27 02:51:27.454739 : Epoch  2, Batch    244, Loss  1.198692, Average Loss  1.213391, Time  0.440094
2021-09-27 02:51:33.359815 : Epoch  2, Batch    245, Loss  1.228470, Average Loss  1.213401, Time  0.451556
2021-09-27 02:51:39.245097 : Epoch  2, Batch    246, Loss  1.209933, Average Loss  1.213414, Time  0.438687
2021-09-27 02:51:45.135311 : Epoch  2, Batch    247, Loss  1.198840, Average Loss  1.213278, Time  0.440602
2021-09-27 02:51:51.033640 : Epoch  2, Batch    248, Loss  1.212247, Average Loss  1.213206, Time  0.439364
2021-09-27 02:51:56.926389 : Epoch  2, Batch    249, Loss  1.210882, Average Loss  1.213138, Time  0.440791
2021-09-27 02:52:02.828624 : Epoch  2, Batch    250, Loss  1.230606, Average Loss  1.213167, Time  0.440077
2021-09-27 02:52:08.734843 : Epoch  2, Batch    251, Loss  1.196986, Average Loss  1.213128, Time  0.441930
2021-09-27 02:52:14.627871 : Epoch  2, Batch    252, Loss  1.203796, Average Loss  1.212989, Time  0.442512
2021-09-27 02:52:20.536747 : Epoch  2, Batch    253, Loss  1.208189, Average Loss  1.212914, Time  0.456650
2021-09-27 02:52:26.430082 : Epoch  2, Batch    254, Loss  1.209258, Average Loss  1.213003, Time  0.439723
2021-09-27 02:52:32.317797 : Epoch  2, Batch    255, Loss  1.208020, Average Loss  1.212963, Time  0.439966
2021-09-27 02:52:38.209896 : Epoch  2, Batch    256, Loss  1.209090, Average Loss  1.212906, Time  0.439675
2021-09-27 02:52:44.152772 : Epoch  2, Batch    257, Loss  1.201820, Average Loss  1.212764, Time  0.439087
2021-09-27 02:52:50.048611 : Epoch  2, Batch    258, Loss  1.213779, Average Loss  1.212809, Time  0.439208
2021-09-27 02:52:55.941635 : Epoch  2, Batch    259, Loss  1.204283, Average Loss  1.212808, Time  0.440295
2021-09-27 02:53:01.837378 : Epoch  2, Batch    260, Loss  1.232163, Average Loss  1.212935, Time  0.440238
2021-09-27 02:53:07.770170 : Epoch  2, Batch    261, Loss  1.205330, Average Loss  1.212821, Time  0.451609
2021-09-27 02:53:13.665691 : Epoch  2, Batch    262, Loss  1.192838, Average Loss  1.212668, Time  0.439140
2021-09-27 02:53:19.551857 : Epoch  2, Batch    263, Loss  1.209671, Average Loss  1.212622, Time  0.441542
2021-09-27 02:53:25.440750 : Epoch  2, Batch    264, Loss  1.204470, Average Loss  1.212675, Time  0.438938
2021-09-27 02:53:31.331274 : Epoch  2, Batch    265, Loss  1.197111, Average Loss  1.212585, Time  0.441198
2021-09-27 02:53:37.233121 : Epoch  2, Batch    266, Loss  1.206138, Average Loss  1.212598, Time  0.438441
2021-09-27 02:53:43.106945 : Epoch  2, Batch    267, Loss  1.203215, Average Loss  1.212446, Time  0.439059
2021-09-27 02:53:49.000630 : Epoch  2, Batch    268, Loss  1.209663, Average Loss  1.212379, Time  0.438758
2021-09-27 02:53:54.896505 : Epoch  2, Batch    269, Loss  1.204842, Average Loss  1.212428, Time  0.449728
2021-09-27 02:54:00.793449 : Epoch  2, Batch    270, Loss  1.216938, Average Loss  1.212348, Time  0.441846
2021-09-27 02:54:06.695344 : Epoch  2, Batch    271, Loss  1.199351, Average Loss  1.212279, Time  0.442135
2021-09-27 02:54:12.585825 : Epoch  2, Batch    272, Loss  1.223044, Average Loss  1.212304, Time  0.438997
2021-09-27 02:58:48.652477 : CheckPoint: Validation Loss  0.00021201, Best Loss  0.00020726
2021-09-27 02:58:54.531166 : Epoch  2, Batch    273, Loss  1.208082, Average Loss  1.212356, Time  0.439248
2021-09-27 02:59:00.426841 : Epoch  2, Batch    274, Loss  1.219042, Average Loss  1.212451, Time  0.440483
2021-09-27 02:59:06.307339 : Epoch  2, Batch    275, Loss  1.212504, Average Loss  1.212442, Time  0.439957
2021-09-27 02:59:12.189313 : Epoch  2, Batch    276, Loss  1.187515, Average Loss  1.212319, Time  0.438605
2021-09-27 02:59:18.085761 : Epoch  2, Batch    277, Loss  1.222946, Average Loss  1.212404, Time  0.451568
2021-09-27 02:59:23.974135 : Epoch  2, Batch    278, Loss  1.203408, Average Loss  1.212342, Time  0.441898
2021-09-27 02:59:29.868791 : Epoch  2, Batch    279, Loss  1.211886, Average Loss  1.212377, Time  0.439549
2021-09-27 02:59:35.754025 : Epoch  2, Batch    280, Loss  1.217907, Average Loss  1.212395, Time  0.439131
2021-09-27 02:59:41.637288 : Epoch  2, Batch    281, Loss  1.208083, Average Loss  1.212413, Time  0.439640
2021-09-27 02:59:47.516955 : Epoch  2, Batch    282, Loss  1.211856, Average Loss  1.212406, Time  0.440109
2021-09-27 02:59:53.407036 : Epoch  2, Batch    283, Loss  1.200482, Average Loss  1.212258, Time  0.439238
2021-09-27 02:59:59.297484 : Epoch  2, Batch    284, Loss  1.215201, Average Loss  1.212293, Time  0.439143
2021-09-27 03:00:05.193643 : Epoch  2, Batch    285, Loss  1.200100, Average Loss  1.212259, Time  0.453162
2021-09-27 03:00:11.068449 : Epoch  2, Batch    286, Loss  1.207435, Average Loss  1.212247, Time  0.438901
2021-09-27 03:00:16.951781 : Epoch  2, Batch    287, Loss  1.207897, Average Loss  1.212224, Time  0.443494
2021-09-27 03:00:22.832785 : Epoch  2, Batch    288, Loss  1.210697, Average Loss  1.212218, Time  0.438355
2021-09-27 03:00:28.718778 : Epoch  2, Batch    289, Loss  1.206583, Average Loss  1.212178, Time  0.439935
2021-09-27 03:00:34.612911 : Epoch  2, Batch    290, Loss  1.201804, Average Loss  1.212112, Time  0.442809
2021-09-27 03:00:40.504051 : Epoch  2, Batch    291, Loss  1.205659, Average Loss  1.212110, Time  0.440672
2021-09-27 03:00:46.390625 : Epoch  2, Batch    292, Loss  1.208611, Average Loss  1.212097, Time  0.439187
2021-09-27 03:00:52.300465 : Epoch  2, Batch    293, Loss  1.208746, Average Loss  1.212159, Time  0.460083
2021-09-27 03:00:58.189824 : Epoch  2, Batch    294, Loss  1.186996, Average Loss  1.212060, Time  0.441352
2021-09-27 03:01:04.066326 : Epoch  2, Batch    295, Loss  1.216048, Average Loss  1.212139, Time  0.440230
2021-09-27 03:01:09.955992 : Epoch  2, Batch    296, Loss  1.212648, Average Loss  1.212183, Time  0.441906
2021-09-27 03:01:15.840886 : Epoch  2, Batch    297, Loss  1.213442, Average Loss  1.212201, Time  0.440416
2021-09-27 03:01:21.745775 : Epoch  2, Batch    298, Loss  1.212904, Average Loss  1.212229, Time  0.439202
2021-09-27 03:01:27.630928 : Epoch  2, Batch    299, Loss  1.223022, Average Loss  1.212328, Time  0.439053
2021-09-27 03:01:33.547545 : Epoch  2, Batch    300, Loss  1.208018, Average Loss  1.212256, Time  0.440920
2021-09-27 03:01:39.442790 : Epoch  2, Batch    301, Loss  1.198300, Average Loss  1.212094, Time  0.453278
2021-09-27 03:01:45.326765 : Epoch  2, Batch    302, Loss  1.217847, Average Loss  1.212107, Time  0.438790
2021-09-27 03:01:51.220892 : Epoch  2, Batch    303, Loss  1.206383, Average Loss  1.212087, Time  0.438876
2021-09-27 03:01:57.099559 : Epoch  2, Batch    304, Loss  1.230414, Average Loss  1.212195, Time  0.438951
2021-09-27 03:02:02.987818 : Epoch  2, Batch    305, Loss  1.218874, Average Loss  1.212167, Time  0.442902
2021-09-27 03:02:08.881774 : Epoch  2, Batch    306, Loss  1.227965, Average Loss  1.212233, Time  0.439101
2021-09-27 03:02:14.770349 : Epoch  2, Batch    307, Loss  1.210829, Average Loss  1.212244, Time  0.443064
2021-09-27 03:02:20.663869 : Epoch  2, Batch    308, Loss  1.225425, Average Loss  1.212239, Time  0.441753
2021-09-27 03:02:26.568672 : Epoch  2, Batch    309, Loss  1.205772, Average Loss  1.212196, Time  0.455600
2021-09-27 03:02:32.466710 : Epoch  2, Batch    310, Loss  1.210847, Average Loss  1.212172, Time  0.440755
2021-09-27 03:02:38.347419 : Epoch  2, Batch    311, Loss  1.205356, Average Loss  1.212081, Time  0.439006
2021-09-27 03:02:44.230818 : Epoch  2, Batch    312, Loss  1.221774, Average Loss  1.212063, Time  0.440115
2021-09-27 03:02:50.109455 : Epoch  2, Batch    313, Loss  1.218349, Average Loss  1.212124, Time  0.438809
2021-09-27 03:02:55.991319 : Epoch  2, Batch    314, Loss  1.211196, Average Loss  1.212097, Time  0.441152
2021-09-27 03:03:01.875022 : Epoch  2, Batch    315, Loss  1.221537, Average Loss  1.212173, Time  0.439550
2021-09-27 03:03:07.762269 : Epoch  2, Batch    316, Loss  1.212765, Average Loss  1.212142, Time  0.441392
2021-09-27 03:03:13.677826 : Epoch  2, Batch    317, Loss  1.222170, Average Loss  1.212244, Time  0.455972
2021-09-27 03:03:19.569471 : Epoch  2, Batch    318, Loss  1.197518, Average Loss  1.212172, Time  0.439803
2021-09-27 03:03:25.462972 : Epoch  2, Batch    319, Loss  1.206988, Average Loss  1.212100, Time  0.440590
2021-09-27 03:03:31.352743 : Epoch  2, Batch    320, Loss  1.205143, Average Loss  1.212048, Time  0.438414
2021-09-27 03:03:37.218886 : Epoch  2, Batch    321, Loss  1.206584, Average Loss  1.211975, Time  0.438895
2021-09-27 03:03:43.113760 : Epoch  2, Batch    322, Loss  1.204188, Average Loss  1.211962, Time  0.439422
2021-09-27 03:03:48.997795 : Epoch  2, Batch    323, Loss  1.196124, Average Loss  1.211901, Time  0.440750
2021-09-27 03:03:54.886792 : Epoch  2, Batch    324, Loss  1.206296, Average Loss  1.211857, Time  0.438409
2021-09-27 03:04:00.798820 : Epoch  2, Batch    325, Loss  1.211749, Average Loss  1.211827, Time  0.457730
2021-09-27 03:04:06.680186 : Epoch  2, Batch    326, Loss  1.216443, Average Loss  1.211845, Time  0.442769
2021-09-27 03:04:12.575640 : Epoch  2, Batch    327, Loss  1.208406, Average Loss  1.211719, Time  0.445365
2021-09-27 03:04:18.463328 : Epoch  2, Batch    328, Loss  1.220775, Average Loss  1.211695, Time  0.439088
2021-09-27 03:04:24.358451 : Epoch  2, Batch    329, Loss  1.198315, Average Loss  1.211650, Time  0.440500
2021-09-27 03:04:30.259208 : Epoch  2, Batch    330, Loss  1.221360, Average Loss  1.211664, Time  0.439793
2021-09-27 03:04:36.156868 : Epoch  2, Batch    331, Loss  1.220871, Average Loss  1.211681, Time  0.441890
2021-09-27 03:04:42.054648 : Epoch  2, Batch    332, Loss  1.221261, Average Loss  1.211694, Time  0.439307
2021-09-27 03:04:47.959787 : Epoch  2, Batch    333, Loss  1.213220, Average Loss  1.211684, Time  0.453496
2021-09-27 03:04:53.861820 : Epoch  2, Batch    334, Loss  1.214995, Average Loss  1.211653, Time  0.442004
2021-09-27 03:04:59.752135 : Epoch  2, Batch    335, Loss  1.210385, Average Loss  1.211669, Time  0.440575
2021-09-27 03:05:05.639545 : Epoch  2, Batch    336, Loss  1.212341, Average Loss  1.211708, Time  0.438929
2021-09-27 03:05:11.534746 : Epoch  2, Batch    337, Loss  1.222544, Average Loss  1.211711, Time  0.439715
2021-09-27 03:05:17.426504 : Epoch  2, Batch    338, Loss  1.224439, Average Loss  1.211824, Time  0.441748
2021-09-27 03:05:23.313168 : Epoch  2, Batch    339, Loss  1.206611, Average Loss  1.211801, Time  0.439082
2021-09-27 03:05:29.200786 : Epoch  2, Batch    340, Loss  1.202390, Average Loss  1.211765, Time  0.439235
2021-09-27 03:05:35.101367 : Epoch  2, Batch    341, Loss  1.217556, Average Loss  1.211769, Time  0.452552
2021-09-27 03:05:40.993748 : Epoch  2, Batch    342, Loss  1.204696, Average Loss  1.211679, Time  0.439547
2021-09-27 03:05:46.887830 : Epoch  2, Batch    343, Loss  1.228892, Average Loss  1.211689, Time  0.439418
2021-09-27 03:05:52.771780 : Epoch  2, Batch    344, Loss  1.194201, Average Loss  1.211563, Time  0.439117
2021-09-27 03:05:58.658806 : Epoch  2, Batch    345, Loss  1.208936, Average Loss  1.211479, Time  0.440701
2021-09-27 03:06:04.553900 : Epoch  2, Batch    346, Loss  1.224622, Average Loss  1.211562, Time  0.439416
2021-09-27 03:06:10.444896 : Epoch  2, Batch    347, Loss  1.220628, Average Loss  1.211606, Time  0.438627
2021-09-27 03:06:16.344719 : Epoch  2, Batch    348, Loss  1.203159, Average Loss  1.211667, Time  0.440252
2021-09-27 03:06:22.259855 : Epoch  2, Batch    349, Loss  1.208704, Average Loss  1.211565, Time  0.451827
2021-09-27 03:06:28.159167 : Epoch  2, Batch    350, Loss  1.198711, Average Loss  1.211510, Time  0.439789
2021-09-27 03:06:34.056665 : Epoch  2, Batch    351, Loss  1.209821, Average Loss  1.211469, Time  0.439984
2021-09-27 03:06:39.950851 : Epoch  2, Batch    352, Loss  1.198532, Average Loss  1.211403, Time  0.439726
2021-09-27 03:06:45.841709 : Epoch  2, Batch    353, Loss  1.227031, Average Loss  1.211490, Time  0.439814
2021-09-27 03:06:51.729108 : Epoch  2, Batch    354, Loss  1.213627, Average Loss  1.211550, Time  0.439487
2021-09-27 03:06:57.614684 : Epoch  2, Batch    355, Loss  1.196198, Average Loss  1.211440, Time  0.440674
2021-09-27 03:07:03.509191 : Epoch  2, Batch    356, Loss  1.200937, Average Loss  1.211358, Time  0.441656
2021-09-27 03:07:09.406264 : Epoch  2, Batch    357, Loss  1.210511, Average Loss  1.211340, Time  0.450527
2021-09-27 03:07:15.276013 : Epoch  2, Batch    358, Loss  1.215020, Average Loss  1.211350, Time  0.440481
2021-09-27 03:07:21.168085 : Epoch  2, Batch    359, Loss  1.225892, Average Loss  1.211441, Time  0.443690
2021-09-27 03:07:27.057816 : Epoch  2, Batch    360, Loss  1.202805, Average Loss  1.211395, Time  0.440896
2021-09-27 03:07:32.941551 : Epoch  2, Batch    361, Loss  1.211398, Average Loss  1.211367, Time  0.438987
2021-09-27 03:07:38.838666 : Epoch  2, Batch    362, Loss  1.203229, Average Loss  1.211397, Time  0.440006
2021-09-27 03:07:44.743387 : Epoch  2, Batch    363, Loss  1.193486, Average Loss  1.211275, Time  0.443496
2021-09-27 03:07:50.622693 : Epoch  2, Batch    364, Loss  1.216392, Average Loss  1.211165, Time  0.439911
2021-09-27 03:07:56.515426 : Epoch  2, Batch    365, Loss  1.213081, Average Loss  1.211178, Time  0.452653
2021-09-27 03:08:02.406298 : Epoch  2, Batch    366, Loss  1.218028, Average Loss  1.211157, Time  0.443275
2021-09-27 03:08:08.298282 : Epoch  2, Batch    367, Loss  1.198432, Average Loss  1.211077, Time  0.441679
2021-09-27 03:08:14.174891 : Epoch  2, Batch    368, Loss  1.215657, Average Loss  1.211095, Time  0.438692
2021-09-27 03:08:20.076890 : Epoch  2, Batch    369, Loss  1.227109, Average Loss  1.211202, Time  0.439131
2021-09-27 03:08:25.968942 : Epoch  2, Batch    370, Loss  1.197361, Average Loss  1.211094, Time  0.442402
2021-09-27 03:08:31.862051 : Epoch  2, Batch    371, Loss  1.191116, Average Loss  1.211006, Time  0.438319
2021-09-27 03:08:37.734820 : Epoch  2, Batch    372, Loss  1.210820, Average Loss  1.210974, Time  0.438389
2021-09-27 03:13:15.911918 : CheckPoint: Validation Loss  0.00021233, Best Loss  0.00020726
2021-09-27 03:13:21.879351 : Epoch  2, Batch    373, Loss  1.209846, Average Loss  1.210983, Time  0.452274
2021-09-27 03:13:27.796875 : Epoch  2, Batch    374, Loss  1.194749, Average Loss  1.210847, Time  0.440185
2021-09-27 03:13:33.713788 : Epoch  2, Batch    375, Loss  1.190306, Average Loss  1.210686, Time  0.440757
2021-09-27 03:13:39.652579 : Epoch  2, Batch    376, Loss  1.219438, Average Loss  1.210774, Time  0.439612
2021-09-27 03:13:45.585496 : Epoch  2, Batch    377, Loss  1.214554, Average Loss  1.210872, Time  0.439120
2021-09-27 03:13:51.511289 : Epoch  2, Batch    378, Loss  1.215674, Average Loss  1.210932, Time  0.439500
2021-09-27 03:13:57.433816 : Epoch  2, Batch    379, Loss  1.192999, Average Loss  1.210916, Time  0.439121
2021-09-27 03:14:03.349297 : Epoch  2, Batch    380, Loss  1.207639, Average Loss  1.210915, Time  0.440644
2021-09-27 03:14:09.317101 : Epoch  2, Batch    381, Loss  1.209008, Average Loss  1.210878, Time  0.455338
2021-09-27 03:14:15.254948 : Epoch  2, Batch    382, Loss  1.211549, Average Loss  1.210898, Time  0.442137
2021-09-27 03:14:21.169877 : Epoch  2, Batch    383, Loss  1.219537, Average Loss  1.210944, Time  0.440113
2021-09-27 03:14:27.115507 : Epoch  2, Batch    384, Loss  1.205521, Average Loss  1.210900, Time  0.441753
2021-09-27 03:14:33.052278 : Epoch  2, Batch    385, Loss  1.195954, Average Loss  1.210842, Time  0.438975
2021-09-27 03:14:39.003298 : Epoch  2, Batch    386, Loss  1.218742, Average Loss  1.210915, Time  0.442321
2021-09-27 03:14:44.934064 : Epoch  2, Batch    387, Loss  1.225472, Average Loss  1.211001, Time  0.440681
2021-09-27 03:14:50.889632 : Epoch  2, Batch    388, Loss  1.224733, Average Loss  1.211009, Time  0.440166
2021-09-27 03:14:56.838502 : Epoch  2, Batch    389, Loss  1.203932, Average Loss  1.210900, Time  0.451002
2021-09-27 03:15:02.783805 : Epoch  2, Batch    390, Loss  1.209846, Average Loss  1.210848, Time  0.439508
2021-09-27 03:15:08.682525 : Epoch  2, Batch    391, Loss  1.198994, Average Loss  1.210796, Time  0.441295
2021-09-27 03:15:14.591602 : Epoch  2, Batch    392, Loss  1.199898, Average Loss  1.210744, Time  0.439425
2021-09-27 03:15:20.543795 : Epoch  2, Batch    393, Loss  1.209227, Average Loss  1.210697, Time  0.443092
2021-09-27 03:15:26.459712 : Epoch  2, Batch    394, Loss  1.215967, Average Loss  1.210708, Time  0.439391
2021-09-27 03:15:32.394216 : Epoch  2, Batch    395, Loss  1.205329, Average Loss  1.210716, Time  0.438989
2021-09-27 03:15:38.343706 : Epoch  2, Batch    396, Loss  1.199283, Average Loss  1.210613, Time  0.438823
2021-09-27 03:15:44.276811 : Epoch  2, Batch    397, Loss  1.205288, Average Loss  1.210590, Time  0.452726
2021-09-27 03:15:50.232800 : Epoch  2, Batch    398, Loss  1.219368, Average Loss  1.210609, Time  0.439286
2021-09-27 03:15:56.159777 : Epoch  2, Batch    399, Loss  1.200712, Average Loss  1.210628, Time  0.440869
2021-09-27 03:16:02.081138 : Epoch  2, Batch    400, Loss  1.209704, Average Loss  1.210612, Time  0.439448
2021-09-27 03:16:07.994598 : Epoch  2, Batch    401, Loss  1.218658, Average Loss  1.210643, Time  0.440057
2021-09-27 03:16:13.952470 : Epoch  2, Batch    402, Loss  1.196233, Average Loss  1.210530, Time  0.442728
2021-09-27 03:16:19.886468 : Epoch  2, Batch    403, Loss  1.214827, Average Loss  1.210555, Time  0.439404
2021-09-27 03:16:25.834864 : Epoch  2, Batch    404, Loss  1.210597, Average Loss  1.210543, Time  0.440255
2021-09-27 03:16:31.786652 : Epoch  2, Batch    405, Loss  1.208517, Average Loss  1.210427, Time  0.453305
2021-09-27 03:16:37.705494 : Epoch  2, Batch    406, Loss  1.215603, Average Loss  1.210427, Time  0.441062
2021-09-27 03:16:43.635755 : Epoch  2, Batch    407, Loss  1.206969, Average Loss  1.210480, Time  0.438622
2021-09-27 03:16:49.556017 : Epoch  2, Batch    408, Loss  1.217735, Average Loss  1.210601, Time  0.443748
2021-09-27 03:16:55.506210 : Epoch  2, Batch    409, Loss  1.218694, Average Loss  1.210689, Time  0.440175
2021-09-27 03:17:01.440659 : Epoch  2, Batch    410, Loss  1.209966, Average Loss  1.210665, Time  0.439467
2021-09-27 03:17:07.352711 : Epoch  2, Batch    411, Loss  1.228229, Average Loss  1.210724, Time  0.440649
2021-09-27 03:17:13.273744 : Epoch  2, Batch    412, Loss  1.197647, Average Loss  1.210589, Time  0.438802
2021-09-27 03:17:19.218577 : Epoch  2, Batch    413, Loss  1.218032, Average Loss  1.210633, Time  0.450416
2021-09-27 03:17:25.137327 : Epoch  2, Batch    414, Loss  1.207530, Average Loss  1.210551, Time  0.438818
2021-09-27 03:17:31.080670 : Epoch  2, Batch    415, Loss  1.216249, Average Loss  1.210600, Time  0.440287
2021-09-27 03:17:37.033499 : Epoch  2, Batch    416, Loss  1.199376, Average Loss  1.210486, Time  0.442373
2021-09-27 03:17:42.957446 : Epoch  2, Batch    417, Loss  1.199987, Average Loss  1.210442, Time  0.440390
2021-09-27 03:17:48.904887 : Epoch  2, Batch    418, Loss  1.209362, Average Loss  1.210470, Time  0.439880
2021-09-27 03:17:54.854637 : Epoch  2, Batch    419, Loss  1.219404, Average Loss  1.210515, Time  0.439821
2021-09-27 03:18:00.805370 : Epoch  2, Batch    420, Loss  1.206111, Average Loss  1.210491, Time  0.454255
2021-09-27 03:18:06.729638 : Epoch  2, Batch    421, Loss  1.208905, Average Loss  1.210470, Time  0.439182
2021-09-27 03:18:12.674262 : Epoch  2, Batch    422, Loss  1.203131, Average Loss  1.210381, Time  0.438850
2021-09-27 03:18:18.616837 : Epoch  2, Batch    423, Loss  1.200647, Average Loss  1.210305, Time  0.445032
2021-09-27 03:18:24.568922 : Epoch  2, Batch    424, Loss  1.210390, Average Loss  1.210273, Time  0.440676
2021-09-27 03:18:30.484501 : Epoch  2, Batch    425, Loss  1.208375, Average Loss  1.210278, Time  0.438841
2021-09-27 03:18:36.432167 : Epoch  2, Batch    426, Loss  1.201595, Average Loss  1.210203, Time  0.438949
2021-09-27 03:18:42.351641 : Epoch  2, Batch    427, Loss  1.203324, Average Loss  1.210187, Time  0.440020
2021-09-27 03:18:48.276797 : Epoch  2, Batch    428, Loss  1.191939, Average Loss  1.210093, Time  0.451464
2021-09-27 03:18:54.207859 : Epoch  2, Batch    429, Loss  1.208162, Average Loss  1.210103, Time  0.441230
2021-09-27 03:19:00.116884 : Epoch  2, Batch    430, Loss  1.213419, Average Loss  1.210034, Time  0.439810
2021-09-27 03:19:06.055476 : Epoch  2, Batch    431, Loss  1.196218, Average Loss  1.209855, Time  0.440033
2021-09-27 03:19:11.979736 : Epoch  2, Batch    432, Loss  1.206825, Average Loss  1.209889, Time  0.439317
2021-09-27 03:19:17.905886 : Epoch  2, Batch    433, Loss  1.207501, Average Loss  1.209818, Time  0.444047
2021-09-27 03:19:23.846118 : Epoch  2, Batch    434, Loss  1.211965, Average Loss  1.209833, Time  0.440892
2021-09-27 03:19:29.796827 : Epoch  2, Batch    435, Loss  1.204040, Average Loss  1.209782, Time  0.439039
2021-09-27 03:19:35.724750 : Epoch  2, Batch    436, Loss  1.224422, Average Loss  1.209771, Time  0.454054
2021-09-27 03:19:41.669487 : Epoch  2, Batch    437, Loss  1.222858, Average Loss  1.209815, Time  0.439788
2021-09-27 03:19:47.589697 : Epoch  2, Batch    438, Loss  1.216310, Average Loss  1.209929, Time  0.440289
2021-09-27 03:19:53.546784 : Epoch  2, Batch    439, Loss  1.211981, Average Loss  1.209900, Time  0.440903
2021-09-27 03:19:59.477673 : Epoch  2, Batch    440, Loss  1.210453, Average Loss  1.209892, Time  0.440300
2021-09-27 03:20:05.418775 : Epoch  2, Batch    441, Loss  1.203110, Average Loss  1.209875, Time  0.439211
2021-09-27 03:20:11.412697 : Epoch  2, Batch    442, Loss  1.209400, Average Loss  1.209811, Time  0.440164
2021-09-27 03:20:17.323147 : Epoch  2, Batch    443, Loss  1.202408, Average Loss  1.209754, Time  0.440337
2021-09-27 03:20:23.259866 : Epoch  2, Batch    444, Loss  1.224757, Average Loss  1.209885, Time  0.452423
2021-09-27 03:20:29.204693 : Epoch  2, Batch    445, Loss  1.192890, Average Loss  1.209707, Time  0.439931
2021-09-27 03:20:35.119132 : Epoch  2, Batch    446, Loss  1.209669, Average Loss  1.209706, Time  0.442389
2021-09-27 03:20:41.066904 : Epoch  2, Batch    447, Loss  1.199677, Average Loss  1.209710, Time  0.439841
2021-09-27 03:20:47.003566 : Epoch  2, Batch    448, Loss  1.209831, Average Loss  1.209698, Time  0.442176
2021-09-27 03:20:52.946017 : Epoch  2, Batch    449, Loss  1.229837, Average Loss  1.209792, Time  0.440178
2021-09-27 03:20:58.873780 : Epoch  2, Batch    450, Loss  1.177327, Average Loss  1.209526, Time  0.442730
2021-09-27 03:21:04.822237 : Epoch  2, Batch    451, Loss  1.202893, Average Loss  1.209556, Time  0.442564
2021-09-27 03:21:10.778743 : Epoch  2, Batch    452, Loss  1.220823, Average Loss  1.209641, Time  0.455391
2021-09-27 03:21:16.695850 : Epoch  2, Batch    453, Loss  1.208745, Average Loss  1.209644, Time  0.442807
2021-09-27 03:21:22.603000 : Epoch  2, Batch    454, Loss  1.218299, Average Loss  1.209689, Time  0.440139
2021-09-27 03:21:28.550903 : Epoch  2, Batch    455, Loss  1.211442, Average Loss  1.209706, Time  0.443261
2021-09-27 03:21:34.506214 : Epoch  2, Batch    456, Loss  1.198727, Average Loss  1.209654, Time  0.440170
2021-09-27 03:21:40.465816 : Epoch  2, Batch    457, Loss  1.212430, Average Loss  1.209707, Time  0.439385
2021-09-27 03:21:46.396651 : Epoch  2, Batch    458, Loss  1.210607, Average Loss  1.209691, Time  0.438180
2021-09-27 03:21:52.311522 : Epoch  2, Batch    459, Loss  1.207633, Average Loss  1.209708, Time  0.439456
2021-09-27 03:21:58.272434 : Epoch  2, Batch    460, Loss  1.202368, Average Loss  1.209559, Time  0.452734
2021-09-27 03:22:04.212746 : Epoch  2, Batch    461, Loss  1.204765, Average Loss  1.209556, Time  0.438492
2021-09-27 03:22:10.157560 : Epoch  2, Batch    462, Loss  1.214852, Average Loss  1.209666, Time  0.438643
2021-09-27 03:22:16.100716 : Epoch  2, Batch    463, Loss  1.229487, Average Loss  1.209765, Time  0.439429
2021-09-27 03:22:22.049947 : Epoch  2, Batch    464, Loss  1.206231, Average Loss  1.209774, Time  0.439574
2021-09-27 03:22:27.992903 : Epoch  2, Batch    465, Loss  1.205567, Average Loss  1.209816, Time  0.438899
2021-09-27 03:22:33.909801 : Epoch  2, Batch    466, Loss  1.197531, Average Loss  1.209773, Time  0.440427
2021-09-27 03:22:39.841242 : Epoch  2, Batch    467, Loss  1.210106, Average Loss  1.209808, Time  0.439425
2021-09-27 03:22:45.799321 : Epoch  2, Batch    468, Loss  1.205386, Average Loss  1.209786, Time  0.449381
2021-09-27 03:22:51.749944 : Epoch  2, Batch    469, Loss  1.215609, Average Loss  1.209840, Time  0.439228
2021-09-27 03:22:57.687185 : Epoch  2, Batch    470, Loss  1.206295, Average Loss  1.209787, Time  0.439857
2021-09-27 03:23:03.601602 : Epoch  2, Batch    471, Loss  1.208858, Average Loss  1.209835, Time  0.440660
2021-09-27 03:23:09.546831 : Epoch  2, Batch    472, Loss  1.186020, Average Loss  1.209649, Time  0.438514
2021-09-27 03:27:45.784628 : CheckPoint: Validation Loss  0.00021389, Best Loss  0.00020726
2021-09-27 03:27:51.682390 : Epoch  2, Batch    473, Loss  1.200388, Average Loss  1.209611, Time  0.438653
2021-09-27 03:27:57.574219 : Epoch  2, Batch    474, Loss  1.210510, Average Loss  1.209568, Time  0.439317
2021-09-27 03:28:03.463520 : Epoch  2, Batch    475, Loss  1.202698, Average Loss  1.209519, Time  0.440211
2021-09-27 03:28:09.364947 : Epoch  2, Batch    476, Loss  1.197533, Average Loss  1.209569, Time  0.449651
2021-09-27 03:28:15.253808 : Epoch  2, Batch    477, Loss  1.203495, Average Loss  1.209472, Time  0.438722
2021-09-27 03:28:21.157573 : Epoch  2, Batch    478, Loss  1.209291, Average Loss  1.209502, Time  0.440637
2021-09-27 03:28:27.047503 : Epoch  2, Batch    479, Loss  1.213982, Average Loss  1.209512, Time  0.442205
2021-09-27 03:28:32.939483 : Epoch  2, Batch    480, Loss  1.220862, Average Loss  1.209527, Time  0.439346
2021-09-27 03:28:38.838777 : Epoch  2, Batch    481, Loss  1.217714, Average Loss  1.209575, Time  0.438872
2021-09-27 03:28:44.733855 : Epoch  2, Batch    482, Loss  1.212748, Average Loss  1.209579, Time  0.441334
2021-09-27 03:28:50.637277 : Epoch  2, Batch    483, Loss  1.204748, Average Loss  1.209601, Time  0.438976
2021-09-27 03:28:56.540196 : Epoch  2, Batch    484, Loss  1.212711, Average Loss  1.209588, Time  0.455829
2021-09-27 03:29:02.436417 : Epoch  2, Batch    485, Loss  1.193823, Average Loss  1.209557, Time  0.442628
2021-09-27 03:29:08.329746 : Epoch  2, Batch    486, Loss  1.213947, Average Loss  1.209589, Time  0.439683
2021-09-27 03:29:14.220819 : Epoch  2, Batch    487, Loss  1.204426, Average Loss  1.209572, Time  0.439013
2021-09-27 03:29:20.121045 : Epoch  2, Batch    488, Loss  1.196620, Average Loss  1.209502, Time  0.439037
2021-09-27 03:29:26.010319 : Epoch  2, Batch    489, Loss  1.206943, Average Loss  1.209504, Time  0.442319
2021-09-27 03:29:31.902544 : Epoch  2, Batch    490, Loss  1.189826, Average Loss  1.209444, Time  0.441715
2021-09-27 03:29:37.803494 : Epoch  2, Batch    491, Loss  1.206595, Average Loss  1.209448, Time  0.441642
2021-09-27 03:29:43.704846 : Epoch  2, Batch    492, Loss  1.204191, Average Loss  1.209426, Time  0.457637
2021-09-27 03:29:49.605079 : Epoch  2, Batch    493, Loss  1.206534, Average Loss  1.209415, Time  0.442668
2021-09-27 03:29:55.506168 : Epoch  2, Batch    494, Loss  1.197807, Average Loss  1.209469, Time  0.439786
2021-09-27 03:30:01.407815 : Epoch  2, Batch    495, Loss  1.221249, Average Loss  1.209495, Time  0.441084
2021-09-27 03:30:07.361875 : Epoch  2, Batch    496, Loss  1.215550, Average Loss  1.209510, Time  0.440345
2021-09-27 03:30:13.260771 : Epoch  2, Batch    497, Loss  1.193288, Average Loss  1.209409, Time  0.445912
2021-09-27 03:30:19.149787 : Epoch  2, Batch    498, Loss  1.191916, Average Loss  1.209304, Time  0.440904
2021-09-27 03:30:25.047608 : Epoch  2, Batch    499, Loss  1.210483, Average Loss  1.209241, Time  0.442716
2021-09-27 03:30:30.956499 : Epoch  2, Batch    500, Loss  1.201838, Average Loss  1.209210, Time  0.456863
2021-09-27 03:30:36.839804 : Epoch  2, Batch    501, Loss  1.192294, Average Loss  1.209180, Time  0.440122
2021-09-27 03:30:42.737652 : Epoch  2, Batch    502, Loss  1.215296, Average Loss  1.209168, Time  0.443441
2021-09-27 03:30:48.628166 : Epoch  2, Batch    503, Loss  1.206251, Average Loss  1.209167, Time  0.443182
2021-09-27 03:30:54.515804 : Epoch  2, Batch    504, Loss  1.221520, Average Loss  1.209123, Time  0.440620
2021-09-27 03:31:00.414338 : Epoch  2, Batch    505, Loss  1.198082, Average Loss  1.209019, Time  0.438324
2021-09-27 03:31:06.307859 : Epoch  2, Batch    506, Loss  1.207277, Average Loss  1.208915, Time  0.443204
2021-09-27 03:31:12.195842 : Epoch  2, Batch    507, Loss  1.207667, Average Loss  1.208899, Time  0.438905
2021-09-27 03:31:18.100087 : Epoch  2, Batch    508, Loss  1.214264, Average Loss  1.208843, Time  0.456314
2021-09-27 03:31:23.980243 : Epoch  2, Batch    509, Loss  1.220971, Average Loss  1.208919, Time  0.439097
2021-09-27 03:31:29.868055 : Epoch  2, Batch    510, Loss  1.201365, Average Loss  1.208872, Time  0.439779
2021-09-27 03:31:35.755778 : Epoch  2, Batch    511, Loss  1.218561, Average Loss  1.208938, Time  0.438706
2021-09-27 03:31:41.648731 : Epoch  2, Batch    512, Loss  1.221736, Average Loss  1.208938, Time  0.442452
2021-09-27 03:31:47.546948 : Epoch  2, Batch    513, Loss  1.221898, Average Loss  1.208956, Time  0.439654
2021-09-27 03:31:53.430183 : Epoch  2, Batch    514, Loss  1.220575, Average Loss  1.209003, Time  0.438963
2021-09-27 03:31:59.325227 : Epoch  2, Batch    515, Loss  1.200505, Average Loss  1.208897, Time  0.443745
2021-09-27 03:32:05.228238 : Epoch  2, Batch    516, Loss  1.214022, Average Loss  1.208904, Time  0.454677
2021-09-27 03:32:11.127743 : Epoch  2, Batch    517, Loss  1.211833, Average Loss  1.208852, Time  0.439308
2021-09-27 03:32:17.031746 : Epoch  2, Batch    518, Loss  1.212272, Average Loss  1.208926, Time  0.441795
2021-09-27 03:32:22.919017 : Epoch  2, Batch    519, Loss  1.202623, Average Loss  1.208904, Time  0.438900
2021-09-27 03:32:28.812086 : Epoch  2, Batch    520, Loss  1.215563, Average Loss  1.208956, Time  0.441051
2021-09-27 03:32:34.705262 : Epoch  2, Batch    521, Loss  1.210346, Average Loss  1.208975, Time  0.441721
2021-09-27 03:32:40.590645 : Epoch  2, Batch    522, Loss  1.208240, Average Loss  1.208995, Time  0.438401
2021-09-27 03:32:46.476747 : Epoch  2, Batch    523, Loss  1.188718, Average Loss  1.208958, Time  0.438433
2021-09-27 03:32:52.393780 : Epoch  2, Batch    524, Loss  1.214182, Average Loss  1.208997, Time  0.452033
2021-09-27 03:32:58.282052 : Epoch  2, Batch    525, Loss  1.221362, Average Loss  1.209046, Time  0.438889
2021-09-27 03:33:04.175184 : Epoch  2, Batch    526, Loss  1.197170, Average Loss  1.208949, Time  0.440657
2021-09-27 03:33:10.079567 : Epoch  2, Batch    527, Loss  1.203633, Average Loss  1.208925, Time  0.439960
2021-09-27 03:33:15.975739 : Epoch  2, Batch    528, Loss  1.189970, Average Loss  1.208771, Time  0.443003
2021-09-27 03:33:21.867159 : Epoch  2, Batch    529, Loss  1.203462, Average Loss  1.208797, Time  0.438674
2021-09-27 03:33:27.760713 : Epoch  2, Batch    530, Loss  1.189892, Average Loss  1.208640, Time  0.441290
2021-09-27 03:33:33.659741 : Epoch  2, Batch    531, Loss  1.214857, Average Loss  1.208610, Time  0.440919
2021-09-27 03:33:39.560510 : Epoch  2, Batch    532, Loss  1.187715, Average Loss  1.208442, Time  0.450780
2021-09-27 03:33:45.444885 : Epoch  2, Batch    533, Loss  1.201247, Average Loss  1.208382, Time  0.440177
2021-09-27 03:33:51.330100 : Epoch  2, Batch    534, Loss  1.212281, Average Loss  1.208368, Time  0.439784
2021-09-27 03:33:57.223123 : Epoch  2, Batch    535, Loss  1.204269, Average Loss  1.208338, Time  0.441383
2021-09-27 03:34:03.123510 : Epoch  2, Batch    536, Loss  1.201398, Average Loss  1.208283, Time  0.441220
2021-09-27 03:34:09.009884 : Epoch  2, Batch    537, Loss  1.207720, Average Loss  1.208209, Time  0.440616
2021-09-27 03:34:14.904445 : Epoch  2, Batch    538, Loss  1.209380, Average Loss  1.208134, Time  0.439919
2021-09-27 03:34:20.784253 : Epoch  2, Batch    539, Loss  1.214726, Average Loss  1.208174, Time  0.438824
2021-09-27 03:34:26.697218 : Epoch  2, Batch    540, Loss  1.203222, Average Loss  1.208178, Time  0.452752
2021-09-27 03:34:32.595229 : Epoch  2, Batch    541, Loss  1.196702, Average Loss  1.208074, Time  0.438735
2021-09-27 03:34:38.477074 : Epoch  2, Batch    542, Loss  1.216033, Average Loss  1.208131, Time  0.439419
2021-09-27 03:34:44.389148 : Epoch  2, Batch    543, Loss  1.216506, Average Loss  1.208069, Time  0.440972
2021-09-27 03:34:50.290970 : Epoch  2, Batch    544, Loss  1.218463, Average Loss  1.208190, Time  0.441525
2021-09-27 03:34:56.191263 : Epoch  2, Batch    545, Loss  1.196988, Average Loss  1.208131, Time  0.439542
2021-09-27 03:35:02.069315 : Epoch  2, Batch    546, Loss  1.200323, Average Loss  1.208009, Time  0.439125
2021-09-27 03:35:07.955851 : Epoch  2, Batch    547, Loss  1.202601, Average Loss  1.207919, Time  0.439542
2021-09-27 03:35:13.839266 : Epoch  2, Batch    548, Loss  1.207259, Average Loss  1.207939, Time  0.447887
2021-09-27 03:35:19.740658 : Epoch  2, Batch    549, Loss  1.215822, Average Loss  1.207975, Time  0.439800
2021-09-27 03:35:25.630232 : Epoch  2, Batch    550, Loss  1.227355, Average Loss  1.208118, Time  0.439751
2021-09-27 03:35:31.526723 : Epoch  2, Batch    551, Loss  1.195624, Average Loss  1.208047, Time  0.444253
2021-09-27 03:35:37.427801 : Epoch  2, Batch    552, Loss  1.217466, Average Loss  1.208142, Time  0.440486
2021-09-27 03:35:43.323242 : Epoch  2, Batch    553, Loss  1.213206, Average Loss  1.208073, Time  0.441118
2021-09-27 03:35:49.222107 : Epoch  2, Batch    554, Loss  1.187427, Average Loss  1.207942, Time  0.443446
2021-09-27 03:35:55.113828 : Epoch  2, Batch    555, Loss  1.229967, Average Loss  1.208111, Time  0.441194
2021-09-27 03:36:01.027520 : Epoch  2, Batch    556, Loss  1.204374, Average Loss  1.208128, Time  0.454826
2021-09-27 03:36:06.915168 : Epoch  2, Batch    557, Loss  1.197212, Average Loss  1.208061, Time  0.442541
2021-09-27 03:36:12.813629 : Epoch  2, Batch    558, Loss  1.210207, Average Loss  1.208037, Time  0.441457
2021-09-27 03:36:18.718005 : Epoch  2, Batch    559, Loss  1.196524, Average Loss  1.207890, Time  0.439325
2021-09-27 03:36:24.611685 : Epoch  2, Batch    560, Loss  1.198153, Average Loss  1.207867, Time  0.439499
2021-09-27 03:36:30.501923 : Epoch  2, Batch    561, Loss  1.204550, Average Loss  1.207833, Time  0.441000
2021-09-27 03:36:36.399498 : Epoch  2, Batch    562, Loss  1.207650, Average Loss  1.207855, Time  0.438795
2021-09-27 03:36:42.290347 : Epoch  2, Batch    563, Loss  1.205937, Average Loss  1.207917, Time  0.441948
2021-09-27 03:36:48.187381 : Epoch  2, Batch    564, Loss  1.216520, Average Loss  1.207918, Time  0.452029
2021-09-27 03:36:54.065665 : Epoch  2, Batch    565, Loss  1.225661, Average Loss  1.207981, Time  0.438747
2021-09-27 03:36:59.958213 : Epoch  2, Batch    566, Loss  1.194216, Average Loss  1.207862, Time  0.439728
2021-09-27 03:37:05.856092 : Epoch  2, Batch    567, Loss  1.207945, Average Loss  1.207909, Time  0.439619
2021-09-27 03:37:11.752357 : Epoch  2, Batch    568, Loss  1.210153, Average Loss  1.207882, Time  0.443854
2021-09-27 03:37:17.639519 : Epoch  2, Batch    569, Loss  1.222076, Average Loss  1.207857, Time  0.439870
2021-09-27 03:37:23.528110 : Epoch  2, Batch    570, Loss  1.225827, Average Loss  1.207999, Time  0.438694
2021-09-27 03:37:29.426037 : Epoch  2, Batch    571, Loss  1.216190, Average Loss  1.208124, Time  0.440976
2021-09-27 03:37:35.338302 : Epoch  2, Batch    572, Loss  1.206018, Average Loss  1.208100, Time  0.453183
2021-09-27 03:41:58.615792 : CheckPoint: Validation Loss  0.00021116, Best Loss  0.00020726
2021-09-27 03:42:03.823214 : Epoch  2, Batch    573, Loss  1.204568, Average Loss  1.208074, Time  0.435394
2021-09-27 03:42:09.150903 : Epoch  2, Batch    574, Loss  1.203837, Average Loss  1.208119, Time  0.435287
2021-09-27 03:42:14.486246 : Epoch  2, Batch    575, Loss  1.194716, Average Loss  1.208141, Time  0.443989
2021-09-27 03:42:19.785863 : Epoch  2, Batch    576, Loss  1.207066, Average Loss  1.208080, Time  0.435194
2021-09-27 03:42:25.090145 : Epoch  2, Batch    577, Loss  1.215748, Average Loss  1.208086, Time  0.435312
2021-09-27 03:42:30.414882 : Epoch  2, Batch    578, Loss  1.210026, Average Loss  1.208057, Time  0.436023
2021-09-27 03:42:35.754804 : Epoch  2, Batch    579, Loss  1.201311, Average Loss  1.208099, Time  0.439680
2021-09-27 03:42:41.286134 : Epoch  2, Batch    580, Loss  1.217429, Average Loss  1.208148, Time  0.439407
2021-09-27 03:42:46.918781 : Epoch  2, Batch    581, Loss  1.191908, Average Loss  1.208062, Time  0.438556
2021-09-27 03:42:52.349192 : Epoch  2, Batch    582, Loss  1.224652, Average Loss  1.208128, Time  0.439003
2021-09-27 03:42:57.995029 : Epoch  2, Batch    583, Loss  1.209303, Average Loss  1.208077, Time  0.437529
2021-09-27 03:43:03.671701 : Epoch  2, Batch    584, Loss  1.216614, Average Loss  1.208132, Time  0.452947
2021-09-27 03:43:09.300448 : Epoch  2, Batch    585, Loss  1.209327, Average Loss  1.208199, Time  0.437089
2021-09-27 03:43:14.829574 : Epoch  2, Batch    586, Loss  1.216018, Average Loss  1.208185, Time  0.437727
2021-09-27 03:43:20.226903 : Epoch  2, Batch    587, Loss  1.222885, Average Loss  1.208172, Time  0.436137
2021-09-27 03:43:25.544710 : Epoch  2, Batch    588, Loss  1.201040, Average Loss  1.208054, Time  0.435033
2021-09-27 03:43:30.807881 : Epoch  2, Batch    589, Loss  1.203458, Average Loss  1.208052, Time  0.435965
2021-09-27 03:43:36.089056 : Epoch  2, Batch    590, Loss  1.198457, Average Loss  1.207995, Time  0.435312
2021-09-27 03:43:41.378058 : Epoch  2, Batch    591, Loss  1.218716, Average Loss  1.208093, Time  0.434721
2021-09-27 03:43:46.669157 : Epoch  2, Batch    592, Loss  1.208399, Average Loss  1.208136, Time  0.435167
2021-09-27 03:43:51.995481 : Epoch  2, Batch    593, Loss  1.203492, Average Loss  1.208107, Time  0.449413
2021-09-27 03:43:57.326083 : Epoch  2, Batch    594, Loss  1.199081, Average Loss  1.208023, Time  0.435924
2021-09-27 03:44:02.944239 : Epoch  2, Batch    595, Loss  1.211984, Average Loss  1.208056, Time  0.438426
2021-09-27 03:44:08.410297 : Epoch  2, Batch    596, Loss  1.207464, Average Loss  1.208097, Time  0.436948
2021-09-27 03:44:14.031313 : Epoch  2, Batch    597, Loss  1.205397, Average Loss  1.208097, Time  0.436175
2021-09-27 03:44:19.483281 : Epoch  2, Batch    598, Loss  1.217228, Average Loss  1.208087, Time  0.437232
2021-09-27 03:44:24.933668 : Epoch  2, Batch    599, Loss  1.202072, Average Loss  1.208093, Time  0.435946
2021-09-27 03:44:30.483998 : Epoch  2, Batch    600, Loss  1.191469, Average Loss  1.208002, Time  0.438800
2021-09-27 03:44:36.008562 : Epoch  2, Batch    601, Loss  1.212289, Average Loss  1.207970, Time  0.435804
2021-09-27 03:44:41.655893 : Epoch  2, Batch    602, Loss  1.198608, Average Loss  1.207982, Time  0.450140
2021-09-27 03:44:47.200969 : Epoch  2, Batch    603, Loss  1.216599, Average Loss  1.207991, Time  0.437833
2021-09-27 03:44:52.757508 : Epoch  2, Batch    604, Loss  1.201766, Average Loss  1.207947, Time  0.437448
2021-09-27 03:44:58.352517 : Epoch  2, Batch    605, Loss  1.199217, Average Loss  1.207901, Time  0.436213
2021-09-27 03:45:03.895717 : Epoch  2, Batch    606, Loss  1.194244, Average Loss  1.207794, Time  0.435841
2021-09-27 03:45:09.525002 : Epoch  2, Batch    607, Loss  1.214505, Average Loss  1.207831, Time  0.438297
2021-09-27 03:45:15.061345 : Epoch  2, Batch    608, Loss  1.227363, Average Loss  1.207880, Time  0.437079
2021-09-27 03:45:20.617081 : Epoch  2, Batch    609, Loss  1.210810, Average Loss  1.207840, Time  0.438119
2021-09-27 03:45:26.127782 : Epoch  2, Batch    610, Loss  1.223840, Average Loss  1.207910, Time  0.448387
2021-09-27 03:45:31.639403 : Epoch  2, Batch    611, Loss  1.204813, Average Loss  1.207792, Time  0.436537
2021-09-27 03:45:37.236063 : Epoch  2, Batch    612, Loss  1.193732, Average Loss  1.207773, Time  0.438910
2021-09-27 03:45:42.892349 : Epoch  2, Batch    613, Loss  1.205184, Average Loss  1.207709, Time  0.438468
2021-09-27 03:45:48.619684 : Epoch  2, Batch    614, Loss  1.211623, Average Loss  1.207729, Time  0.440361
2021-09-27 03:45:54.280683 : Epoch  2, Batch    615, Loss  1.217528, Average Loss  1.207735, Time  0.437666
2021-09-27 03:45:59.858210 : Epoch  2, Batch    616, Loss  1.217406, Average Loss  1.207826, Time  0.439040
2021-09-27 03:46:05.595056 : Epoch  2, Batch    617, Loss  1.226568, Average Loss  1.207959, Time  0.439071
2021-09-27 03:46:11.277064 : Epoch  2, Batch    618, Loss  1.196473, Average Loss  1.207894, Time  0.449231
2021-09-27 03:46:17.035978 : Epoch  2, Batch    619, Loss  1.206594, Average Loss  1.207830, Time  0.439323
2021-09-27 03:46:22.755817 : Epoch  2, Batch    620, Loss  1.212817, Average Loss  1.207864, Time  0.438125
2021-09-27 03:46:28.344007 : Epoch  2, Batch    621, Loss  1.220760, Average Loss  1.207923, Time  0.437125
2021-09-27 03:46:33.783709 : Epoch  2, Batch    622, Loss  1.207195, Average Loss  1.207943, Time  0.436656
2021-09-27 03:46:39.410867 : Epoch  2, Batch    623, Loss  1.198660, Average Loss  1.207933, Time  0.439451
2021-09-27 03:46:45.136824 : Epoch  2, Batch    624, Loss  1.208588, Average Loss  1.207924, Time  0.439479
2021-09-27 03:46:50.780607 : Epoch  2, Batch    625, Loss  1.220065, Average Loss  1.207983, Time  0.437967
2021-09-27 03:46:56.522832 : Epoch  2, Batch    626, Loss  1.231729, Average Loss  1.208133, Time  0.452607
2021-09-27 03:47:02.150198 : Epoch  2, Batch    627, Loss  1.208980, Average Loss  1.208162, Time  0.436990
2021-09-27 03:47:07.697364 : Epoch  2, Batch    628, Loss  1.199162, Average Loss  1.208198, Time  0.439359
2021-09-27 03:47:13.258710 : Epoch  2, Batch    629, Loss  1.211581, Average Loss  1.208215, Time  0.438981
2021-09-27 03:47:18.770929 : Epoch  2, Batch    630, Loss  1.223338, Average Loss  1.208264, Time  0.437390
2021-09-27 03:47:24.318504 : Epoch  2, Batch    631, Loss  1.196737, Average Loss  1.208267, Time  0.438489
2021-09-27 03:47:28.287152 : Epoch  2, Batch    632, Loss  1.218445, Average Loss  1.208325, Time  0.340167
2021-09-27 03:47:33.951502 : Epoch  2, Batch    633, Loss  1.190460, Average Loss  1.208240, Time  0.437436
2021-09-27 03:47:39.641731 : Epoch  2, Batch    634, Loss  1.222329, Average Loss  1.208292, Time  0.436423
2021-09-27 03:47:45.197854 : Epoch  2, Batch    635, Loss  1.214632, Average Loss  1.208345, Time  0.447851
2021-09-27 03:47:50.851527 : Epoch  2, Batch    636, Loss  1.221958, Average Loss  1.208332, Time  0.439152
2021-09-27 03:47:56.520314 : Epoch  2, Batch    637, Loss  1.198063, Average Loss  1.208208, Time  0.439419
2021-09-27 03:48:02.090691 : Epoch  2, Batch    638, Loss  1.214730, Average Loss  1.208201, Time  0.439501
2021-09-27 03:48:07.659693 : Epoch  2, Batch    639, Loss  1.205342, Average Loss  1.208167, Time  0.437593
2021-09-27 03:48:13.214239 : Epoch  2, Batch    640, Loss  1.217304, Average Loss  1.208202, Time  0.436901
2021-09-27 03:48:18.776770 : Epoch  2, Batch    641, Loss  1.209835, Average Loss  1.208235, Time  0.439110
2021-09-27 03:48:24.454419 : Epoch  2, Batch    642, Loss  1.213992, Average Loss  1.208258, Time  0.438838
2021-09-27 03:48:30.164479 : Epoch  2, Batch    643, Loss  1.205879, Average Loss  1.208276, Time  0.449688
2021-09-27 03:48:35.680538 : Epoch  2, Batch    644, Loss  1.211898, Average Loss  1.208211, Time  0.437461
2021-09-27 03:48:41.385731 : Epoch  2, Batch    645, Loss  1.211419, Average Loss  1.208304, Time  0.438895
2021-09-27 03:48:47.090559 : Epoch  2, Batch    646, Loss  1.190888, Average Loss  1.208210, Time  0.439457
2021-09-27 03:48:52.836374 : Epoch  2, Batch    647, Loss  1.202772, Average Loss  1.208225, Time  0.439405
2021-09-27 03:48:58.431826 : Epoch  2, Batch    648, Loss  1.218707, Average Loss  1.208270, Time  0.437250
2021-09-27 03:49:03.970374 : Epoch  2, Batch    649, Loss  1.211975, Average Loss  1.208181, Time  0.438638
2021-09-27 03:49:09.656386 : Epoch  2, Batch    650, Loss  1.204990, Average Loss  1.208319, Time  0.438450
2021-09-27 03:49:15.465401 : Epoch  2, Batch    651, Loss  1.190816, Average Loss  1.208258, Time  0.448055
2021-09-27 03:49:21.201783 : Epoch  2, Batch    652, Loss  1.201168, Average Loss  1.208160, Time  0.439084
2021-09-27 03:49:26.949891 : Epoch  2, Batch    653, Loss  1.204051, Average Loss  1.208137, Time  0.438636
2021-09-27 03:49:32.512108 : Epoch  2, Batch    654, Loss  1.219298, Average Loss  1.208142, Time  0.462162
2021-09-27 03:49:37.907307 : Epoch  2, Batch    655, Loss  1.214373, Average Loss  1.208156, Time  0.440052
2021-09-27 03:49:43.607308 : Epoch  2, Batch    656, Loss  1.190726, Average Loss  1.208116, Time  0.438772
2021-09-27 03:49:49.264912 : Epoch  2, Batch    657, Loss  1.206195, Average Loss  1.208085, Time  0.440126
2021-09-27 03:49:55.031088 : Epoch  2, Batch    658, Loss  1.217393, Average Loss  1.208119, Time  0.459468
2021-09-27 03:50:00.636039 : Epoch  2, Batch    659, Loss  1.189907, Average Loss  1.208030, Time  0.452625
2021-09-27 03:50:06.025282 : Epoch  2, Batch    660, Loss  1.191930, Average Loss  1.207978, Time  0.437893
2021-09-27 03:50:11.633420 : Epoch  2, Batch    661, Loss  1.207561, Average Loss  1.207992, Time  0.438312
2021-09-27 03:50:17.365460 : Epoch  2, Batch    662, Loss  1.208962, Average Loss  1.207963, Time  0.439396
2021-09-27 03:50:23.025967 : Epoch  2, Batch    663, Loss  1.196596, Average Loss  1.207798, Time  0.435971
2021-09-27 03:50:28.638902 : Epoch  2, Batch    664, Loss  1.199103, Average Loss  1.207763, Time  0.439510
2021-09-27 03:50:34.405507 : Epoch  2, Batch    665, Loss  1.192520, Average Loss  1.207697, Time  0.438775
2021-09-27 03:50:39.936626 : Epoch  2, Batch    666, Loss  1.208548, Average Loss  1.207753, Time  0.437319
2021-09-27 03:50:45.420989 : Epoch  2, Batch    667, Loss  1.191201, Average Loss  1.207658, Time  0.453521
2021-09-27 03:50:51.114028 : Epoch  2, Batch    668, Loss  1.216072, Average Loss  1.207711, Time  0.437620
2021-09-27 03:50:56.824508 : Epoch  2, Batch    669, Loss  1.215043, Average Loss  1.207709, Time  0.438527
2021-09-27 03:51:02.463942 : Epoch  2, Batch    670, Loss  1.189507, Average Loss  1.207625, Time  0.436281
2021-09-27 03:51:07.953571 : Epoch  2, Batch    671, Loss  1.199063, Average Loss  1.207576, Time  0.439430
2021-09-27 03:51:13.674888 : Epoch  2, Batch    672, Loss  1.197788, Average Loss  1.207635, Time  0.440064
2021-09-27 03:55:35.713919 : CheckPoint: Validation Loss  0.00021082, Best Loss  0.00020726
2021-09-27 03:55:41.042438 : Epoch  2, Batch    673, Loss  1.206509, Average Loss  1.207665, Time  0.438418
2021-09-27 03:55:46.657678 : Epoch  2, Batch    674, Loss  1.200613, Average Loss  1.207616, Time  0.438508
2021-09-27 03:55:52.295079 : Epoch  2, Batch    675, Loss  1.204589, Average Loss  1.207625, Time  0.435870
2021-09-27 03:55:57.741672 : Epoch  2, Batch    676, Loss  1.201655, Average Loss  1.207646, Time  0.439034
2021-09-27 03:56:03.460442 : Epoch  2, Batch    677, Loss  1.201997, Average Loss  1.207638, Time  0.438615
2021-09-27 03:56:09.211406 : Epoch  2, Batch    678, Loss  1.213624, Average Loss  1.207660, Time  0.450760
2021-09-27 03:56:14.893360 : Epoch  2, Batch    679, Loss  1.209694, Average Loss  1.207638, Time  0.439366
2021-09-27 03:56:20.559639 : Epoch  2, Batch    680, Loss  1.203166, Average Loss  1.207550, Time  0.439335
2021-09-27 03:56:26.251554 : Epoch  2, Batch    681, Loss  1.197218, Average Loss  1.207448, Time  0.438878
2021-09-27 03:56:31.833133 : Epoch  2, Batch    682, Loss  1.215135, Average Loss  1.207459, Time  0.439502
2021-09-27 03:56:37.567820 : Epoch  2, Batch    683, Loss  1.196626, Average Loss  1.207419, Time  0.439024
2021-09-27 03:56:43.305128 : Epoch  2, Batch    684, Loss  1.209213, Average Loss  1.207401, Time  0.440010
2021-09-27 03:56:48.968725 : Epoch  2, Batch    685, Loss  1.192486, Average Loss  1.207395, Time  0.438291
2021-09-27 03:56:54.453484 : Epoch  2, Batch    686, Loss  1.220664, Average Loss  1.207428, Time  0.437601
2021-09-27 03:57:00.036753 : Epoch  2, Batch    687, Loss  1.221502, Average Loss  1.207514, Time  0.446969
2021-09-27 03:57:05.473395 : Epoch  2, Batch    688, Loss  1.194775, Average Loss  1.207504, Time  0.438840
2021-09-27 03:57:10.891218 : Epoch  2, Batch    689, Loss  1.216582, Average Loss  1.207553, Time  0.435979
2021-09-27 03:57:16.359626 : Epoch  2, Batch    690, Loss  1.204384, Average Loss  1.207625, Time  0.437010
2021-09-27 03:57:21.892978 : Epoch  2, Batch    691, Loss  1.189042, Average Loss  1.207538, Time  0.438559
2021-09-27 03:57:27.414810 : Epoch  2, Batch    692, Loss  1.201514, Average Loss  1.207524, Time  0.435302
2021-09-27 03:57:32.787561 : Epoch  2, Batch    693, Loss  1.224279, Average Loss  1.207613, Time  0.437554
2021-09-27 03:57:38.474834 : Epoch  2, Batch    694, Loss  1.206393, Average Loss  1.207656, Time  0.439364
2021-09-27 03:57:44.188139 : Epoch  2, Batch    695, Loss  1.208318, Average Loss  1.207591, Time  0.440515
2021-09-27 03:57:49.753687 : Epoch  2, Batch    696, Loss  1.205785, Average Loss  1.207542, Time  0.451749
2021-09-27 03:57:55.146381 : Epoch  2, Batch    697, Loss  1.208805, Average Loss  1.207620, Time  0.438509
2021-09-27 03:58:00.816277 : Epoch  2, Batch    698, Loss  1.217055, Average Loss  1.207746, Time  0.436942
2021-09-27 03:58:06.343972 : Epoch  2, Batch    699, Loss  1.210009, Average Loss  1.207743, Time  0.437190
2021-09-27 03:58:11.839815 : Epoch  2, Batch    700, Loss  1.210465, Average Loss  1.207786, Time  0.437848
2021-09-27 03:58:17.231927 : Epoch  2, Batch    701, Loss  1.201269, Average Loss  1.207831, Time  0.435900
2021-09-27 03:58:22.767638 : Epoch  2, Batch    702, Loss  1.193763, Average Loss  1.207724, Time  0.437077
2021-09-27 03:58:28.473375 : Epoch  2, Batch    703, Loss  1.203206, Average Loss  1.207708, Time  0.437352
2021-09-27 03:58:33.968630 : Epoch  2, Batch    704, Loss  1.206106, Average Loss  1.207631, Time  0.445662
2021-09-27 03:58:39.588555 : Epoch  2, Batch    705, Loss  1.202347, Average Loss  1.207653, Time  0.440634
2021-09-27 03:58:45.287876 : Epoch  2, Batch    706, Loss  1.206539, Average Loss  1.207649, Time  0.436402
2021-09-27 03:58:50.907216 : Epoch  2, Batch    707, Loss  1.222152, Average Loss  1.207721, Time  0.438407
2021-09-27 03:58:56.499420 : Epoch  2, Batch    708, Loss  1.196568, Average Loss  1.207633, Time  0.437150
2021-09-27 03:59:02.186682 : Epoch  2, Batch    709, Loss  1.204977, Average Loss  1.207553, Time  0.439050
2021-09-27 03:59:07.866429 : Epoch  2, Batch    710, Loss  1.201394, Average Loss  1.207553, Time  0.439021
2021-09-27 03:59:13.611055 : Epoch  2, Batch    711, Loss  1.206530, Average Loss  1.207493, Time  0.438033
2021-09-27 03:59:19.205820 : Epoch  2, Batch    712, Loss  1.204453, Average Loss  1.207407, Time  0.449049
2021-09-27 03:59:24.697147 : Epoch  2, Batch    713, Loss  1.209466, Average Loss  1.207344, Time  0.438131
2021-09-27 03:59:30.197479 : Epoch  2, Batch    714, Loss  1.193543, Average Loss  1.207209, Time  0.435563
2021-09-27 03:59:35.661410 : Epoch  2, Batch    715, Loss  1.187394, Average Loss  1.207144, Time  0.438263
2021-09-27 03:59:41.133851 : Epoch  2, Batch    716, Loss  1.197375, Average Loss  1.207060, Time  0.436719
2021-09-27 03:59:46.764158 : Epoch  2, Batch    717, Loss  1.208939, Average Loss  1.207046, Time  0.438727
2021-09-27 03:59:52.431036 : Epoch  2, Batch    718, Loss  1.212013, Average Loss  1.207045, Time  0.440185
2021-09-27 03:59:58.009955 : Epoch  2, Batch    719, Loss  1.190348, Average Loss  1.206983, Time  0.436538
2021-09-27 04:00:03.523152 : Epoch  2, Batch    720, Loss  1.195956, Average Loss  1.206885, Time  0.437628
2021-09-27 04:00:09.140854 : Epoch  2, Batch    721, Loss  1.190169, Average Loss  1.206784, Time  0.452986
2021-09-27 04:00:14.844106 : Epoch  2, Batch    722, Loss  1.214950, Average Loss  1.206818, Time  0.439392
2021-09-27 04:00:20.529805 : Epoch  2, Batch    723, Loss  1.203272, Average Loss  1.206891, Time  0.438247
2021-09-27 04:00:26.175140 : Epoch  2, Batch    724, Loss  1.206710, Average Loss  1.206853, Time  0.436595
2021-09-27 04:00:31.641612 : Epoch  2, Batch    725, Loss  1.207100, Average Loss  1.206782, Time  0.436180
2021-09-27 04:00:37.124092 : Epoch  2, Batch    726, Loss  1.209188, Average Loss  1.206842, Time  0.436420
2021-09-27 04:00:42.786715 : Epoch  2, Batch    727, Loss  1.194864, Average Loss  1.206798, Time  0.439265
2021-09-27 04:00:48.497931 : Epoch  2, Batch    728, Loss  1.205505, Average Loss  1.206876, Time  0.438584
2021-09-27 04:00:54.245261 : Epoch  2, Batch    729, Loss  1.206422, Average Loss  1.206891, Time  0.456269
2021-09-27 04:00:59.967781 : Epoch  2, Batch    730, Loss  1.219010, Average Loss  1.207036, Time  0.439473
2021-09-27 04:01:05.653946 : Epoch  2, Batch    731, Loss  1.204391, Average Loss  1.206984, Time  0.438954
2021-09-27 04:01:11.278533 : Epoch  2, Batch    732, Loss  1.212087, Average Loss  1.207106, Time  0.436050
2021-09-27 04:01:16.880155 : Epoch  2, Batch    733, Loss  1.211305, Average Loss  1.207156, Time  0.439479
2021-09-27 04:01:22.638480 : Epoch  2, Batch    734, Loss  1.200943, Average Loss  1.207100, Time  0.439588
2021-09-27 04:01:28.324680 : Epoch  2, Batch    735, Loss  1.197788, Average Loss  1.207067, Time  0.439602
2021-09-27 04:01:34.058007 : Epoch  2, Batch    736, Loss  1.201888, Average Loss  1.207070, Time  0.440435
2021-09-27 04:01:39.582016 : Epoch  2, Batch    737, Loss  1.205310, Average Loss  1.207057, Time  0.453425
2021-09-27 04:01:45.312485 : Epoch  2, Batch    738, Loss  1.200907, Average Loss  1.207015, Time  0.439749
2021-09-27 04:01:50.983459 : Epoch  2, Batch    739, Loss  1.219868, Average Loss  1.207041, Time  0.436304
2021-09-27 04:01:56.544524 : Epoch  2, Batch    740, Loss  1.211542, Average Loss  1.207082, Time  0.438527
2021-09-27 04:02:02.279176 : Epoch  2, Batch    741, Loss  1.212236, Average Loss  1.207160, Time  0.439652
2021-09-27 04:02:07.917934 : Epoch  2, Batch    742, Loss  1.204053, Average Loss  1.207100, Time  0.438512
2021-09-27 04:02:13.562481 : Epoch  2, Batch    743, Loss  1.198507, Average Loss  1.207010, Time  0.437896
2021-09-27 04:02:19.229445 : Epoch  2, Batch    744, Loss  1.207007, Average Loss  1.206953, Time  0.439489
2021-09-27 04:02:24.681301 : Epoch  2, Batch    745, Loss  1.204183, Average Loss  1.206989, Time  0.450713
2021-09-27 04:02:30.143150 : Epoch  2, Batch    746, Loss  1.202012, Average Loss  1.206997, Time  0.436439
2021-09-27 04:02:35.580071 : Epoch  2, Batch    747, Loss  1.200010, Average Loss  1.206984, Time  0.438266
2021-09-27 04:02:41.272397 : Epoch  2, Batch    748, Loss  1.196254, Average Loss  1.206929, Time  0.437508
2021-09-27 04:02:46.721494 : Epoch  2, Batch    749, Loss  1.191976, Average Loss  1.206810, Time  0.436816
2021-09-27 04:02:52.391945 : Epoch  2, Batch    750, Loss  1.213705, Average Loss  1.206742, Time  0.438420
2021-09-27 04:02:57.928965 : Epoch  2, Batch    751, Loss  1.199988, Average Loss  1.206764, Time  0.437235
2021-09-27 04:03:03.409566 : Epoch  2, Batch    752, Loss  1.215542, Average Loss  1.206754, Time  0.437979
2021-09-27 04:03:08.953448 : Epoch  2, Batch    753, Loss  1.196263, Average Loss  1.206669, Time  0.435684
2021-09-27 04:03:14.632303 : Epoch  2, Batch    754, Loss  1.213001, Average Loss  1.206797, Time  0.453352
2021-09-27 04:03:20.319454 : Epoch  2, Batch    755, Loss  1.209767, Average Loss  1.206696, Time  0.438854
2021-09-27 04:03:26.072472 : Epoch  2, Batch    756, Loss  1.195933, Average Loss  1.206654, Time  0.438874
2021-09-27 04:03:31.823817 : Epoch  2, Batch    757, Loss  1.210875, Average Loss  1.206722, Time  0.438617
2021-09-27 04:03:37.430033 : Epoch  2, Batch    758, Loss  1.198830, Average Loss  1.206665, Time  0.437914
2021-09-27 04:03:42.997995 : Epoch  2, Batch    759, Loss  1.203053, Average Loss  1.206698, Time  0.439067
2021-09-27 04:03:48.692807 : Epoch  2, Batch    760, Loss  1.201570, Average Loss  1.206715, Time  0.436589
2021-09-27 04:03:54.225617 : Epoch  2, Batch    761, Loss  1.212688, Average Loss  1.206756, Time  0.438963
2021-09-27 04:03:59.940750 : Epoch  2, Batch    762, Loss  1.196884, Average Loss  1.206702, Time  0.454001
2021-09-27 04:04:05.670436 : Epoch  2, Batch    763, Loss  1.214463, Average Loss  1.206745, Time  0.438895
2021-09-27 04:04:11.407624 : Epoch  2, Batch    764, Loss  1.178316, Average Loss  1.206554, Time  0.439310
2021-09-27 04:04:16.908967 : Epoch  2, Batch    765, Loss  1.206678, Average Loss  1.206459, Time  0.438948
2021-09-27 04:04:22.526437 : Epoch  2, Batch    766, Loss  1.211255, Average Loss  1.206544, Time  0.438316
2021-09-27 04:04:28.058401 : Epoch  2, Batch    767, Loss  1.195203, Average Loss  1.206480, Time  0.439683
2021-09-27 04:04:33.803363 : Epoch  2, Batch    768, Loss  1.202651, Average Loss  1.206443, Time  0.438163
2021-09-27 04:04:39.385327 : Epoch  2, Batch    769, Loss  1.206432, Average Loss  1.206365, Time  0.436972
2021-09-27 04:04:44.942740 : Epoch  2, Batch    770, Loss  1.217553, Average Loss  1.206323, Time  0.449462
2021-09-27 04:04:50.577873 : Epoch  2, Batch    771, Loss  1.193498, Average Loss  1.206210, Time  0.436853
2021-09-27 04:04:56.242633 : Epoch  2, Batch    772, Loss  1.220428, Average Loss  1.206282, Time  0.438247
2021-09-27 04:09:20.771284 : CheckPoint: Validation Loss  0.00020644, Best Loss  0.00020644
2021-09-27 04:09:20.813689 : Best Model Updated
2021-09-27 04:09:27.493972 : Epoch  2, Batch    773, Loss  1.202189, Average Loss  1.206270, Time  0.456448
2021-09-27 04:09:33.439298 : Epoch  2, Batch    774, Loss  1.193050, Average Loss  1.206216, Time  0.440415
2021-09-27 04:09:39.396347 : Epoch  2, Batch    775, Loss  1.221417, Average Loss  1.206349, Time  0.439597
2021-09-27 04:09:45.348168 : Epoch  2, Batch    776, Loss  1.203647, Average Loss  1.206332, Time  0.439316
2021-09-27 04:09:51.291813 : Epoch  2, Batch    777, Loss  1.211983, Average Loss  1.206313, Time  0.439445
2021-09-27 04:09:57.241782 : Epoch  2, Batch    778, Loss  1.199442, Average Loss  1.206261, Time  0.440032
2021-09-27 04:10:03.192128 : Epoch  2, Batch    779, Loss  1.204974, Average Loss  1.206279, Time  0.438620
2021-09-27 04:10:09.152261 : Epoch  2, Batch    780, Loss  1.192517, Average Loss  1.206154, Time  0.451208
2021-09-27 04:10:15.097288 : Epoch  2, Batch    781, Loss  1.218615, Average Loss  1.206288, Time  0.441622
2021-09-27 04:10:21.047941 : Epoch  2, Batch    782, Loss  1.204337, Average Loss  1.206186, Time  0.442878
2021-09-27 04:10:26.986715 : Epoch  2, Batch    783, Loss  1.204406, Average Loss  1.206162, Time  0.438591
2021-09-27 04:10:32.939497 : Epoch  2, Batch    784, Loss  1.201411, Average Loss  1.206086, Time  0.442716
2021-09-27 04:10:38.880872 : Epoch  2, Batch    785, Loss  1.213964, Average Loss  1.206109, Time  0.440708
2021-09-27 04:10:44.810955 : Epoch  2, Batch    786, Loss  1.194891, Average Loss  1.206003, Time  0.440239
2021-09-27 04:10:50.746510 : Epoch  2, Batch    787, Loss  1.207624, Average Loss  1.205927, Time  0.438979
2021-09-27 04:10:56.703788 : Epoch  2, Batch    788, Loss  1.216495, Average Loss  1.206004, Time  0.455862
2021-09-27 04:11:02.661152 : Epoch  2, Batch    789, Loss  1.197512, Average Loss  1.205975, Time  0.439592
2021-09-27 04:11:08.611912 : Epoch  2, Batch    790, Loss  1.205932, Average Loss  1.206012, Time  0.439111
2021-09-27 04:11:14.541067 : Epoch  2, Batch    791, Loss  1.219432, Average Loss  1.206016, Time  0.440843
2021-09-27 04:11:20.478931 : Epoch  2, Batch    792, Loss  1.213310, Average Loss  1.206040, Time  0.440676
2021-09-27 04:11:26.398251 : Epoch  2, Batch    793, Loss  1.204006, Average Loss  1.206043, Time  0.439934
2021-09-27 04:11:32.343147 : Epoch  2, Batch    794, Loss  1.210799, Average Loss  1.206101, Time  0.440022
2021-09-27 04:11:38.299189 : Epoch  2, Batch    795, Loss  1.200933, Average Loss  1.206046, Time  0.439771
2021-09-27 04:11:44.253790 : Epoch  2, Batch    796, Loss  1.206584, Average Loss  1.206042, Time  0.450258
2021-09-27 04:11:50.190972 : Epoch  2, Batch    797, Loss  1.202032, Average Loss  1.206025, Time  0.439056
2021-09-27 04:11:56.138947 : Epoch  2, Batch    798, Loss  1.200278, Average Loss  1.205940, Time  0.439694
2021-09-27 04:12:02.085702 : Epoch  2, Batch    799, Loss  1.197305, Average Loss  1.205916, Time  0.440155
2021-09-27 04:12:08.024036 : Epoch  2, Batch    800, Loss  1.219485, Average Loss  1.206056, Time  0.442329
2021-09-27 04:12:13.973077 : Epoch  2, Batch    801, Loss  1.210057, Average Loss  1.206045, Time  0.440056
2021-09-27 04:12:19.923110 : Epoch  2, Batch    802, Loss  1.200918, Average Loss  1.206057, Time  0.441282
2021-09-27 04:12:25.890353 : Epoch  2, Batch    803, Loss  1.200901, Average Loss  1.205978, Time  0.449949
2021-09-27 04:12:31.851264 : Epoch  2, Batch    804, Loss  1.195683, Average Loss  1.205948, Time  0.440375
2021-09-27 04:12:37.801848 : Epoch  2, Batch    805, Loss  1.211006, Average Loss  1.206007, Time  0.441320
2021-09-27 04:12:43.749655 : Epoch  2, Batch    806, Loss  1.204632, Average Loss  1.206059, Time  0.442153
2021-09-27 04:12:49.698326 : Epoch  2, Batch    807, Loss  1.193118, Average Loss  1.205952, Time  0.439013
2021-09-27 04:12:55.643831 : Epoch  2, Batch    808, Loss  1.211073, Average Loss  1.205870, Time  0.442664
2021-09-27 04:13:01.597578 : Epoch  2, Batch    809, Loss  1.188630, Average Loss  1.205759, Time  0.441065
2021-09-27 04:13:07.543701 : Epoch  2, Batch    810, Loss  1.215547, Average Loss  1.205718, Time  0.439239
2021-09-27 04:13:13.500422 : Epoch  2, Batch    811, Loss  1.192276, Average Loss  1.205655, Time  0.450653
2021-09-27 04:13:19.443984 : Epoch  2, Batch    812, Loss  1.191501, Average Loss  1.205644, Time  0.440761
2021-09-27 04:13:25.388783 : Epoch  2, Batch    813, Loss  1.186311, Average Loss  1.205550, Time  0.438631
2021-09-27 04:13:31.331905 : Epoch  2, Batch    814, Loss  1.208863, Average Loss  1.205536, Time  0.439718
2021-09-27 04:13:37.272085 : Epoch  2, Batch    815, Loss  1.191007, Average Loss  1.205403, Time  0.441276
2021-09-27 04:13:43.214191 : Epoch  2, Batch    816, Loss  1.215147, Average Loss  1.205392, Time  0.440310
2021-09-27 04:13:49.154530 : Epoch  2, Batch    817, Loss  1.213151, Average Loss  1.205325, Time  0.438719
2021-09-27 04:13:55.092038 : Epoch  2, Batch    818, Loss  1.211411, Average Loss  1.205400, Time  0.441039
2021-09-27 04:14:01.062028 : Epoch  2, Batch    819, Loss  1.217663, Average Loss  1.205455, Time  0.453104
2021-09-27 04:14:06.997445 : Epoch  2, Batch    820, Loss  1.200770, Average Loss  1.205395, Time  0.439733
2021-09-27 04:14:12.938728 : Epoch  2, Batch    821, Loss  1.186206, Average Loss  1.205222, Time  0.439038
2021-09-27 04:14:18.888829 : Epoch  2, Batch    822, Loss  1.195835, Average Loss  1.205165, Time  0.441756
2021-09-27 04:14:24.820131 : Epoch  2, Batch    823, Loss  1.215082, Average Loss  1.205247, Time  0.440076
2021-09-27 04:14:30.743809 : Epoch  2, Batch    824, Loss  1.206990, Average Loss  1.205239, Time  0.440417
2021-09-27 04:14:36.697863 : Epoch  2, Batch    825, Loss  1.195934, Average Loss  1.205119, Time  0.440078
2021-09-27 04:14:42.664315 : Epoch  2, Batch    826, Loss  1.210110, Average Loss  1.205011, Time  0.455882
2021-09-27 04:14:48.606385 : Epoch  2, Batch    827, Loss  1.204378, Average Loss  1.204987, Time  0.441431
2021-09-27 04:14:54.536835 : Epoch  2, Batch    828, Loss  1.210430, Average Loss  1.205044, Time  0.438638
2021-09-27 04:15:00.480304 : Epoch  2, Batch    829, Loss  1.207335, Average Loss  1.205023, Time  0.440176
2021-09-27 04:15:06.424797 : Epoch  2, Batch    830, Loss  1.188559, Average Loss  1.204849, Time  0.439823
2021-09-27 04:15:12.362674 : Epoch  2, Batch    831, Loss  1.197907, Average Loss  1.204855, Time  0.439000
2021-09-27 04:15:18.314511 : Epoch  2, Batch    832, Loss  1.193562, Average Loss  1.204730, Time  0.438740
2021-09-27 04:15:24.254841 : Epoch  2, Batch    833, Loss  1.198815, Average Loss  1.204772, Time  0.438790
2021-09-27 04:15:30.210226 : Epoch  2, Batch    834, Loss  1.208430, Average Loss  1.204702, Time  0.449749
2021-09-27 04:15:36.150802 : Epoch  2, Batch    835, Loss  1.193337, Average Loss  1.204596, Time  0.439485
2021-09-27 04:15:42.088532 : Epoch  2, Batch    836, Loss  1.192573, Average Loss  1.204449, Time  0.439982
2021-09-27 04:15:48.062000 : Epoch  2, Batch    837, Loss  1.206011, Average Loss  1.204489, Time  0.440758
2021-09-27 04:15:54.001657 : Epoch  2, Batch    838, Loss  1.206935, Average Loss  1.204450, Time  0.442410
2021-09-27 04:15:59.942736 : Epoch  2, Batch    839, Loss  1.210770, Average Loss  1.204477, Time  0.439857
2021-09-27 04:16:05.891762 : Epoch  2, Batch    840, Loss  1.195083, Average Loss  1.204366, Time  0.440580
2021-09-27 04:16:11.828409 : Epoch  2, Batch    841, Loss  1.186423, Average Loss  1.204249, Time  0.440856
2021-09-27 04:16:17.769358 : Epoch  2, Batch    842, Loss  1.213204, Average Loss  1.204245, Time  0.452945
2021-09-27 04:16:23.722285 : Epoch  2, Batch    843, Loss  1.206505, Average Loss  1.204248, Time  0.441325
2021-09-27 04:16:29.670138 : Epoch  2, Batch    844, Loss  1.212729, Average Loss  1.204252, Time  0.439956
2021-09-27 04:16:35.612755 : Epoch  2, Batch    845, Loss  1.213841, Average Loss  1.204264, Time  0.441152
2021-09-27 04:16:41.555701 : Epoch  2, Batch    846, Loss  1.229998, Average Loss  1.204460, Time  0.440281
2021-09-27 04:16:47.496918 : Epoch  2, Batch    847, Loss  1.219302, Average Loss  1.204542, Time  0.438863
2021-09-27 04:16:53.442566 : Epoch  2, Batch    848, Loss  1.211275, Average Loss  1.204505, Time  0.444222
2021-09-27 04:16:59.374553 : Epoch  2, Batch    849, Loss  1.202371, Average Loss  1.204457, Time  0.439871
2021-09-27 04:17:05.317885 : Epoch  2, Batch    850, Loss  1.203961, Average Loss  1.204452, Time  0.447473
2021-09-27 04:17:11.250818 : Epoch  2, Batch    851, Loss  1.210804, Average Loss  1.204552, Time  0.438860
2021-09-27 04:17:17.193794 : Epoch  2, Batch    852, Loss  1.195590, Average Loss  1.204524, Time  0.439431
2021-09-27 04:17:23.136367 : Epoch  2, Batch    853, Loss  1.195863, Average Loss  1.204483, Time  0.441176
2021-09-27 04:17:29.068746 : Epoch  2, Batch    854, Loss  1.209792, Average Loss  1.204436, Time  0.440109
2021-09-27 04:17:35.007726 : Epoch  2, Batch    855, Loss  1.188498, Average Loss  1.204306, Time  0.439575
2021-09-27 04:17:40.943841 : Epoch  2, Batch    856, Loss  1.197364, Average Loss  1.204339, Time  0.441774
2021-09-27 04:17:46.887821 : Epoch  2, Batch    857, Loss  1.188691, Average Loss  1.204252, Time  0.443274
2021-09-27 04:17:52.840012 : Epoch  2, Batch    858, Loss  1.206436, Average Loss  1.204197, Time  0.453976
2021-09-27 04:17:58.777603 : Epoch  2, Batch    859, Loss  1.212219, Average Loss  1.204309, Time  0.438893
2021-09-27 04:18:04.715068 : Epoch  2, Batch    860, Loss  1.216033, Average Loss  1.204429, Time  0.439781
2021-09-27 04:18:10.647343 : Epoch  2, Batch    861, Loss  1.191391, Average Loss  1.204348, Time  0.441295
2021-09-27 04:18:16.583728 : Epoch  2, Batch    862, Loss  1.199344, Average Loss  1.204300, Time  0.439965
2021-09-27 04:18:22.538622 : Epoch  2, Batch    863, Loss  1.198756, Average Loss  1.204311, Time  0.438900
2021-09-27 04:18:28.466452 : Epoch  2, Batch    864, Loss  1.219930, Average Loss  1.204415, Time  0.438370
2021-09-27 04:18:34.418555 : Epoch  2, Batch    865, Loss  1.205019, Average Loss  1.204478, Time  0.439445
2021-09-27 04:18:40.376683 : Epoch  2, Batch    866, Loss  1.207755, Average Loss  1.204474, Time  0.450434
2021-09-27 04:18:46.335213 : Epoch  2, Batch    867, Loss  1.200074, Average Loss  1.204518, Time  0.444674
2021-09-27 04:18:52.275515 : Epoch  2, Batch    868, Loss  1.214580, Average Loss  1.204511, Time  0.441612
2021-09-27 04:18:58.222734 : Epoch  2, Batch    869, Loss  1.213792, Average Loss  1.204504, Time  0.439009
2021-09-27 04:19:04.170271 : Epoch  2, Batch    870, Loss  1.209974, Average Loss  1.204607, Time  0.440415
2021-09-27 04:19:10.139774 : Epoch  2, Batch    871, Loss  1.219225, Average Loss  1.204708, Time  0.443450
2021-09-27 04:19:16.081786 : Epoch  2, Batch    872, Loss  1.215188, Average Loss  1.204795, Time  0.439684
2021-09-27 04:23:51.797392 : CheckPoint: Validation Loss  0.00020683, Best Loss  0.00020644
2021-09-27 04:23:57.690463 : Epoch  2, Batch    873, Loss  1.214338, Average Loss  1.204834, Time  0.438410
2021-09-27 04:24:03.647411 : Epoch  2, Batch    874, Loss  1.212313, Average Loss  1.204892, Time  0.456247
2021-09-27 04:24:09.586801 : Epoch  2, Batch    875, Loss  1.202921, Average Loss  1.204884, Time  0.439440
2021-09-27 04:24:15.501715 : Epoch  2, Batch    876, Loss  1.195844, Average Loss  1.204855, Time  0.438490
2021-09-27 04:24:21.406963 : Epoch  2, Batch    877, Loss  1.200096, Average Loss  1.204845, Time  0.438620
2021-09-27 04:24:27.349837 : Epoch  2, Batch    878, Loss  1.198054, Average Loss  1.204767, Time  0.440408
2021-09-27 04:24:33.274797 : Epoch  2, Batch    879, Loss  1.196345, Average Loss  1.204701, Time  0.439665
2021-09-27 04:24:39.205745 : Epoch  2, Batch    880, Loss  1.213093, Average Loss  1.204750, Time  0.439719
2021-09-27 04:24:45.120804 : Epoch  2, Batch    881, Loss  1.208856, Average Loss  1.204809, Time  0.439578
2021-09-27 04:24:51.046659 : Epoch  2, Batch    882, Loss  1.211590, Average Loss  1.204791, Time  0.450988
2021-09-27 04:24:56.961498 : Epoch  2, Batch    883, Loss  1.207485, Average Loss  1.204845, Time  0.440427
2021-09-27 04:25:02.906886 : Epoch  2, Batch    884, Loss  1.206343, Average Loss  1.204831, Time  0.440010
2021-09-27 04:25:08.850340 : Epoch  2, Batch    885, Loss  1.205757, Average Loss  1.204897, Time  0.441170
2021-09-27 04:25:14.787951 : Epoch  2, Batch    886, Loss  1.200656, Average Loss  1.204797, Time  0.440620
2021-09-27 04:25:20.742371 : Epoch  2, Batch    887, Loss  1.200620, Average Loss  1.204693, Time  0.438759
2021-09-27 04:25:26.682041 : Epoch  2, Batch    888, Loss  1.208719, Average Loss  1.204762, Time  0.439863
2021-09-27 04:25:32.579464 : Epoch  2, Batch    889, Loss  1.193070, Average Loss  1.204645, Time  0.438708
2021-09-27 04:25:38.539442 : Epoch  2, Batch    890, Loss  1.212661, Average Loss  1.204686, Time  0.447868
2021-09-27 04:25:44.494840 : Epoch  2, Batch    891, Loss  1.196259, Average Loss  1.204722, Time  0.444299
2021-09-27 04:25:50.413616 : Epoch  2, Batch    892, Loss  1.192314, Average Loss  1.204676, Time  0.440347
2021-09-27 04:25:56.313887 : Epoch  2, Batch    893, Loss  1.199472, Average Loss  1.204552, Time  0.442172
2021-09-27 04:26:02.234980 : Epoch  2, Batch    894, Loss  1.194868, Average Loss  1.204495, Time  0.441648
2021-09-27 04:26:08.172778 : Epoch  2, Batch    895, Loss  1.199841, Average Loss  1.204452, Time  0.441873
2021-09-27 04:26:14.089679 : Epoch  2, Batch    896, Loss  1.198948, Average Loss  1.204418, Time  0.440092
2021-09-27 04:26:20.019404 : Epoch  2, Batch    897, Loss  1.222721, Average Loss  1.204488, Time  0.441833
2021-09-27 04:26:25.942396 : Epoch  2, Batch    898, Loss  1.218427, Average Loss  1.204494, Time  0.450876
2021-09-27 04:26:31.886907 : Epoch  2, Batch    899, Loss  1.206398, Average Loss  1.204476, Time  0.441507
2021-09-27 04:26:37.813147 : Epoch  2, Batch    900, Loss  1.212119, Average Loss  1.204485, Time  0.445922
2021-09-27 04:26:43.760442 : Epoch  2, Batch    901, Loss  1.189855, Average Loss  1.204428, Time  0.440859
2021-09-27 04:26:49.683427 : Epoch  2, Batch    902, Loss  1.191413, Average Loss  1.204416, Time  0.441860
2021-09-27 04:26:55.603778 : Epoch  2, Batch    903, Loss  1.202849, Average Loss  1.204414, Time  0.441824
2021-09-27 04:27:01.538636 : Epoch  2, Batch    904, Loss  1.210704, Average Loss  1.204437, Time  0.439124
2021-09-27 04:27:07.489821 : Epoch  2, Batch    905, Loss  1.216704, Average Loss  1.204509, Time  0.443017
2021-09-27 04:27:13.456140 : Epoch  2, Batch    906, Loss  1.206387, Average Loss  1.204508, Time  0.452114
2021-09-27 04:27:19.378097 : Epoch  2, Batch    907, Loss  1.181609, Average Loss  1.204305, Time  0.443842
2021-09-27 04:27:25.318301 : Epoch  2, Batch    908, Loss  1.210864, Average Loss  1.204377, Time  0.438809
2021-09-27 04:27:31.249323 : Epoch  2, Batch    909, Loss  1.210820, Average Loss  1.204406, Time  0.438653
2021-09-27 04:27:37.195818 : Epoch  2, Batch    910, Loss  1.208732, Average Loss  1.204443, Time  0.444586
2021-09-27 04:27:43.101417 : Epoch  2, Batch    911, Loss  1.200828, Average Loss  1.204414, Time  0.439851
2021-09-27 04:27:49.052822 : Epoch  2, Batch    912, Loss  1.210127, Average Loss  1.204443, Time  0.438944
2021-09-27 04:27:54.968811 : Epoch  2, Batch    913, Loss  1.203801, Average Loss  1.204414, Time  0.440140
2021-09-27 04:28:00.908036 : Epoch  2, Batch    914, Loss  1.216105, Average Loss  1.204527, Time  0.450904
2021-09-27 04:28:06.835644 : Epoch  2, Batch    915, Loss  1.201592, Average Loss  1.204598, Time  0.443020
2021-09-27 04:28:12.777599 : Epoch  2, Batch    916, Loss  1.207546, Average Loss  1.204649, Time  0.440635
2021-09-27 04:28:18.720297 : Epoch  2, Batch    917, Loss  1.205085, Average Loss  1.204630, Time  0.439819
2021-09-27 04:28:24.629138 : Epoch  2, Batch    918, Loss  1.195848, Average Loss  1.204549, Time  0.439214
2021-09-27 04:28:30.575137 : Epoch  2, Batch    919, Loss  1.194225, Average Loss  1.204568, Time  0.439245
2021-09-27 04:28:36.526979 : Epoch  2, Batch    920, Loss  1.199761, Average Loss  1.204587, Time  0.443496
2021-09-27 04:28:42.449606 : Epoch  2, Batch    921, Loss  1.190760, Average Loss  1.204590, Time  0.439192
2021-09-27 04:28:48.370361 : Epoch  2, Batch    922, Loss  1.208943, Average Loss  1.204560, Time  0.449458
2021-09-27 04:28:54.309797 : Epoch  2, Batch    923, Loss  1.229415, Average Loss  1.204691, Time  0.438538
2021-09-27 04:29:00.255168 : Epoch  2, Batch    924, Loss  1.201813, Average Loss  1.204666, Time  0.442122
2021-09-27 04:29:06.191894 : Epoch  2, Batch    925, Loss  1.216242, Average Loss  1.204712, Time  0.439107
2021-09-27 04:29:12.137296 : Epoch  2, Batch    926, Loss  1.216909, Average Loss  1.204751, Time  0.439466
2021-09-27 04:29:18.066752 : Epoch  2, Batch    927, Loss  1.199014, Average Loss  1.204772, Time  0.438879
2021-09-27 04:29:24.007709 : Epoch  2, Batch    928, Loss  1.191799, Average Loss  1.204703, Time  0.442524
2021-09-27 04:29:24.045623 : Saving Model after 2-th Epoch.
2021-09-27 04:29:24.766944 : Epoch Finished.
2021-09-27 04:29:30.280267 : Batch Shuffled
2021-09-27 04:29:36.183292 : Epoch  3, Batch      1, Loss  1.213253, Average Loss  1.204737, Time  0.447782
2021-09-27 04:29:42.118080 : Epoch  3, Batch      2, Loss  1.181777, Average Loss  1.204551, Time  0.440244
2021-09-27 04:29:48.005355 : Epoch  3, Batch      3, Loss  1.195949, Average Loss  1.204509, Time  0.438881
2021-09-27 04:29:53.914206 : Epoch  3, Batch      4, Loss  1.211700, Average Loss  1.204507, Time  0.442178
2021-09-27 04:29:59.809770 : Epoch  3, Batch      5, Loss  1.198608, Average Loss  1.204443, Time  0.438853
2021-09-27 04:30:05.697348 : Epoch  3, Batch      6, Loss  1.204283, Average Loss  1.204460, Time  0.439532
2021-09-27 04:30:11.604798 : Epoch  3, Batch      7, Loss  1.213650, Average Loss  1.204539, Time  0.444072
2021-09-27 04:30:17.516664 : Epoch  3, Batch      8, Loss  1.214172, Average Loss  1.204601, Time  0.457713
2021-09-27 04:30:23.410147 : Epoch  3, Batch      9, Loss  1.204971, Average Loss  1.204599, Time  0.440384
2021-09-27 04:30:29.309251 : Epoch  3, Batch     10, Loss  1.220533, Average Loss  1.204697, Time  0.440258
2021-09-27 04:30:35.209679 : Epoch  3, Batch     11, Loss  1.205366, Average Loss  1.204625, Time  0.438920
2021-09-27 04:30:41.108898 : Epoch  3, Batch     12, Loss  1.199354, Average Loss  1.204564, Time  0.440108
2021-09-27 04:30:47.018213 : Epoch  3, Batch     13, Loss  1.198374, Average Loss  1.204494, Time  0.440474
2021-09-27 04:30:52.908444 : Epoch  3, Batch     14, Loss  1.200170, Average Loss  1.204475, Time  0.438544
2021-09-27 04:30:58.810972 : Epoch  3, Batch     15, Loss  1.198546, Average Loss  1.204475, Time  0.438647
2021-09-27 04:31:04.718855 : Epoch  3, Batch     16, Loss  1.200706, Average Loss  1.204444, Time  0.450834
2021-09-27 04:31:10.625098 : Epoch  3, Batch     17, Loss  1.203608, Average Loss  1.204441, Time  0.439057
2021-09-27 04:31:16.517876 : Epoch  3, Batch     18, Loss  1.216373, Average Loss  1.204513, Time  0.439908
2021-09-27 04:31:22.424705 : Epoch  3, Batch     19, Loss  1.213758, Average Loss  1.204581, Time  0.441171
2021-09-27 04:31:28.323289 : Epoch  3, Batch     20, Loss  1.206911, Average Loss  1.204635, Time  0.440075
2021-09-27 04:31:34.228460 : Epoch  3, Batch     21, Loss  1.220053, Average Loss  1.204775, Time  0.439131
2021-09-27 04:31:40.127261 : Epoch  3, Batch     22, Loss  1.226623, Average Loss  1.204840, Time  0.440293
2021-09-27 04:31:46.025392 : Epoch  3, Batch     23, Loss  1.194050, Average Loss  1.204810, Time  0.438480
2021-09-27 04:31:51.945742 : Epoch  3, Batch     24, Loss  1.198143, Average Loss  1.204723, Time  0.454603
2021-09-27 04:31:57.848395 : Epoch  3, Batch     25, Loss  1.196030, Average Loss  1.204722, Time  0.443721
2021-09-27 04:32:03.744964 : Epoch  3, Batch     26, Loss  1.209978, Average Loss  1.204707, Time  0.440166
2021-09-27 04:32:09.652123 : Epoch  3, Batch     27, Loss  1.190512, Average Loss  1.204610, Time  0.439933
2021-09-27 04:32:15.558782 : Epoch  3, Batch     28, Loss  1.202317, Average Loss  1.204642, Time  0.439244
2021-09-27 04:32:21.465918 : Epoch  3, Batch     29, Loss  1.202390, Average Loss  1.204600, Time  0.440634
2021-09-27 04:32:27.367993 : Epoch  3, Batch     30, Loss  1.212604, Average Loss  1.204669, Time  0.440515
2021-09-27 04:32:33.269174 : Epoch  3, Batch     31, Loss  1.200700, Average Loss  1.204657, Time  0.439302
2021-09-27 04:32:39.174622 : Epoch  3, Batch     32, Loss  1.206023, Average Loss  1.204679, Time  0.447706
2021-09-27 04:32:45.082711 : Epoch  3, Batch     33, Loss  1.202449, Average Loss  1.204628, Time  0.442631
2021-09-27 04:32:50.994676 : Epoch  3, Batch     34, Loss  1.234802, Average Loss  1.204818, Time  0.440376
2021-09-27 04:32:56.886246 : Epoch  3, Batch     35, Loss  1.198039, Average Loss  1.204736, Time  0.439353
2021-09-27 04:33:02.775485 : Epoch  3, Batch     36, Loss  1.205416, Average Loss  1.204871, Time  0.438982
2021-09-27 04:33:08.665252 : Epoch  3, Batch     37, Loss  1.210969, Average Loss  1.204892, Time  0.438928
2021-09-27 04:33:14.574851 : Epoch  3, Batch     38, Loss  1.214623, Average Loss  1.204909, Time  0.442024
2021-09-27 04:33:20.469820 : Epoch  3, Batch     39, Loss  1.200977, Average Loss  1.204938, Time  0.440375
2021-09-27 04:33:26.392788 : Epoch  3, Batch     40, Loss  1.197015, Average Loss  1.204910, Time  0.456857
2021-09-27 04:33:32.287786 : Epoch  3, Batch     41, Loss  1.211691, Average Loss  1.204936, Time  0.439673
2021-09-27 04:33:38.197312 : Epoch  3, Batch     42, Loss  1.208349, Average Loss  1.204890, Time  0.440960
2021-09-27 04:33:44.097287 : Epoch  3, Batch     43, Loss  1.205301, Average Loss  1.204949, Time  0.440869
2021-09-27 04:33:50.009794 : Epoch  3, Batch     44, Loss  1.201189, Average Loss  1.204853, Time  0.441692
2021-09-27 04:38:28.198975 : CheckPoint: Validation Loss  0.00021005, Best Loss  0.00020644
2021-09-27 04:38:34.155746 : Epoch  3, Batch     45, Loss  1.195944, Average Loss  1.204822, Time  0.439750
2021-09-27 04:38:40.055943 : Epoch  3, Batch     46, Loss  1.205383, Average Loss  1.204884, Time  0.439137
2021-09-27 04:38:45.961206 : Epoch  3, Batch     47, Loss  1.210952, Average Loss  1.204831, Time  0.450810
2021-09-27 04:38:51.865847 : Epoch  3, Batch     48, Loss  1.198948, Average Loss  1.204808, Time  0.439758
2021-09-27 04:38:57.759410 : Epoch  3, Batch     49, Loss  1.222831, Average Loss  1.204862, Time  0.440323
2021-09-27 04:39:03.669241 : Epoch  3, Batch     50, Loss  1.186078, Average Loss  1.204795, Time  0.438856
2021-09-27 04:39:09.580480 : Epoch  3, Batch     51, Loss  1.201315, Average Loss  1.204777, Time  0.439181
2021-09-27 04:39:15.477414 : Epoch  3, Batch     52, Loss  1.210454, Average Loss  1.204867, Time  0.440224
2021-09-27 04:39:21.397856 : Epoch  3, Batch     53, Loss  1.199047, Average Loss  1.204769, Time  0.444085
2021-09-27 04:39:27.297993 : Epoch  3, Batch     54, Loss  1.197574, Average Loss  1.204735, Time  0.438806
2021-09-27 04:39:33.217590 : Epoch  3, Batch     55, Loss  1.196636, Average Loss  1.204696, Time  0.453624
2021-09-27 04:39:39.130721 : Epoch  3, Batch     56, Loss  1.207612, Average Loss  1.204727, Time  0.440573
2021-09-27 04:39:45.038775 : Epoch  3, Batch     57, Loss  1.184755, Average Loss  1.204581, Time  0.444118
2021-09-27 04:39:50.933874 : Epoch  3, Batch     58, Loss  1.205497, Average Loss  1.204634, Time  0.440764
2021-09-27 04:39:56.818012 : Epoch  3, Batch     59, Loss  1.208217, Average Loss  1.204637, Time  0.440835
2021-09-27 04:40:02.713010 : Epoch  3, Batch     60, Loss  1.198177, Average Loss  1.204545, Time  0.441616
2021-09-27 04:40:08.604922 : Epoch  3, Batch     61, Loss  1.199442, Average Loss  1.204555, Time  0.438483
2021-09-27 04:40:14.523026 : Epoch  3, Batch     62, Loss  1.209673, Average Loss  1.204574, Time  0.443098
2021-09-27 04:40:20.433861 : Epoch  3, Batch     63, Loss  1.204960, Average Loss  1.204501, Time  0.446626
2021-09-27 04:40:26.339773 : Epoch  3, Batch     64, Loss  1.203090, Average Loss  1.204450, Time  0.440680
2021-09-27 04:40:32.240914 : Epoch  3, Batch     65, Loss  1.196437, Average Loss  1.204412, Time  0.439623
2021-09-27 04:40:38.150879 : Epoch  3, Batch     66, Loss  1.194372, Average Loss  1.204330, Time  0.438879
2021-09-27 04:40:44.058906 : Epoch  3, Batch     67, Loss  1.200009, Average Loss  1.204326, Time  0.440055
2021-09-27 04:40:49.968892 : Epoch  3, Batch     68, Loss  1.199718, Average Loss  1.204291, Time  0.439398
2021-09-27 04:40:55.871782 : Epoch  3, Batch     69, Loss  1.194473, Average Loss  1.204254, Time  0.443403
2021-09-27 04:41:01.777339 : Epoch  3, Batch     70, Loss  1.209896, Average Loss  1.204302, Time  0.440482
2021-09-27 04:41:07.689106 : Epoch  3, Batch     71, Loss  1.207862, Average Loss  1.204354, Time  0.449383
2021-09-27 04:41:13.599792 : Epoch  3, Batch     72, Loss  1.220896, Average Loss  1.204361, Time  0.441906
2021-09-27 04:41:19.505245 : Epoch  3, Batch     73, Loss  1.197855, Average Loss  1.204300, Time  0.439949
2021-09-27 04:41:25.401837 : Epoch  3, Batch     74, Loss  1.188417, Average Loss  1.204238, Time  0.440344
2021-09-27 04:41:31.314745 : Epoch  3, Batch     75, Loss  1.218749, Average Loss  1.204327, Time  0.442104
2021-09-27 04:41:37.197255 : Epoch  3, Batch     76, Loss  1.209541, Average Loss  1.204397, Time  0.439367
2021-09-27 04:41:43.122058 : Epoch  3, Batch     77, Loss  1.217421, Average Loss  1.204429, Time  0.439152
2021-09-27 04:41:49.021908 : Epoch  3, Batch     78, Loss  1.207113, Average Loss  1.204441, Time  0.439940
2021-09-27 04:41:54.938886 : Epoch  3, Batch     79, Loss  1.214969, Average Loss  1.204550, Time  0.453394
2021-09-27 04:42:00.851187 : Epoch  3, Batch     80, Loss  1.215331, Average Loss  1.204572, Time  0.439214
2021-09-27 04:42:06.755606 : Epoch  3, Batch     81, Loss  1.195862, Average Loss  1.204608, Time  0.442733
2021-09-27 04:42:12.653830 : Epoch  3, Batch     82, Loss  1.196887, Average Loss  1.204514, Time  0.440851
2021-09-27 04:42:18.586801 : Epoch  3, Batch     83, Loss  1.218103, Average Loss  1.204644, Time  0.439927
2021-09-27 04:42:24.494413 : Epoch  3, Batch     84, Loss  1.195893, Average Loss  1.204666, Time  0.438924
2021-09-27 04:42:30.375256 : Epoch  3, Batch     85, Loss  1.203034, Average Loss  1.204749, Time  0.438523
2021-09-27 04:42:36.277633 : Epoch  3, Batch     86, Loss  1.194122, Average Loss  1.204675, Time  0.438690
2021-09-27 04:42:42.192124 : Epoch  3, Batch     87, Loss  1.204952, Average Loss  1.204745, Time  0.456069
2021-09-27 04:42:48.103777 : Epoch  3, Batch     88, Loss  1.216938, Average Loss  1.204754, Time  0.438740
2021-09-27 04:42:54.007730 : Epoch  3, Batch     89, Loss  1.197126, Average Loss  1.204674, Time  0.438920
2021-09-27 04:42:59.898254 : Epoch  3, Batch     90, Loss  1.202570, Average Loss  1.204630, Time  0.438670
2021-09-27 04:43:05.800793 : Epoch  3, Batch     91, Loss  1.186010, Average Loss  1.204471, Time  0.439736
2021-09-27 04:43:11.699676 : Epoch  3, Batch     92, Loss  1.212161, Average Loss  1.204528, Time  0.438471
2021-09-27 04:43:17.599057 : Epoch  3, Batch     93, Loss  1.222709, Average Loss  1.204711, Time  0.440380
2021-09-27 04:43:23.533560 : Epoch  3, Batch     94, Loss  1.207728, Average Loss  1.204770, Time  0.443356
2021-09-27 04:43:29.441811 : Epoch  3, Batch     95, Loss  1.210033, Average Loss  1.204745, Time  0.449416
2021-09-27 04:43:35.348713 : Epoch  3, Batch     96, Loss  1.203238, Average Loss  1.204726, Time  0.438874
2021-09-27 04:43:41.261374 : Epoch  3, Batch     97, Loss  1.196943, Average Loss  1.204731, Time  0.439179
2021-09-27 04:43:47.157553 : Epoch  3, Batch     98, Loss  1.216249, Average Loss  1.204762, Time  0.440288
2021-09-27 04:43:53.047278 : Epoch  3, Batch     99, Loss  1.215472, Average Loss  1.204818, Time  0.440481
2021-09-27 04:43:58.944725 : Epoch  3, Batch    100, Loss  1.188841, Average Loss  1.204710, Time  0.438523
2021-09-27 04:44:04.836869 : Epoch  3, Batch    101, Loss  1.199476, Average Loss  1.204670, Time  0.440515
2021-09-27 04:44:10.731873 : Epoch  3, Batch    102, Loss  1.212159, Average Loss  1.204788, Time  0.439121
2021-09-27 04:44:16.655980 : Epoch  3, Batch    103, Loss  1.193857, Average Loss  1.204768, Time  0.452249
2021-09-27 04:44:22.553104 : Epoch  3, Batch    104, Loss  1.200921, Average Loss  1.204805, Time  0.442230
2021-09-27 04:44:28.441820 : Epoch  3, Batch    105, Loss  1.200493, Average Loss  1.204813, Time  0.440534
2021-09-27 04:44:34.349756 : Epoch  3, Batch    106, Loss  1.211187, Average Loss  1.204827, Time  0.443227
2021-09-27 04:44:40.248981 : Epoch  3, Batch    107, Loss  1.206570, Average Loss  1.204893, Time  0.438765
2021-09-27 04:44:46.151766 : Epoch  3, Batch    108, Loss  1.219785, Average Loss  1.205029, Time  0.440204
2021-09-27 04:44:52.055807 : Epoch  3, Batch    109, Loss  1.187408, Average Loss  1.204936, Time  0.441570
2021-09-27 04:44:57.990817 : Epoch  3, Batch    110, Loss  1.197261, Average Loss  1.204888, Time  0.439418
2021-09-27 04:45:03.907748 : Epoch  3, Batch    111, Loss  1.216236, Average Loss  1.204915, Time  0.454630
2021-09-27 04:45:09.805173 : Epoch  3, Batch    112, Loss  1.197025, Average Loss  1.204925, Time  0.439642
2021-09-27 04:45:15.708203 : Epoch  3, Batch    113, Loss  1.210225, Average Loss  1.205044, Time  0.442064
2021-09-27 04:45:21.606723 : Epoch  3, Batch    114, Loss  1.202752, Average Loss  1.204992, Time  0.443146
2021-09-27 04:45:27.511637 : Epoch  3, Batch    115, Loss  1.211288, Average Loss  1.205016, Time  0.442160
2021-09-27 04:45:33.412862 : Epoch  3, Batch    116, Loss  1.193615, Average Loss  1.204920, Time  0.440589
2021-09-27 04:45:39.306023 : Epoch  3, Batch    117, Loss  1.198866, Average Loss  1.204845, Time  0.439939
2021-09-27 04:45:45.239741 : Epoch  3, Batch    118, Loss  1.198288, Average Loss  1.204687, Time  0.438694
2021-09-27 04:45:51.139174 : Epoch  3, Batch    119, Loss  1.213222, Average Loss  1.204656, Time  0.449053
2021-09-27 04:45:57.037220 : Epoch  3, Batch    120, Loss  1.197142, Average Loss  1.204586, Time  0.439601
2021-09-27 04:46:02.962172 : Epoch  3, Batch    121, Loss  1.197554, Average Loss  1.204562, Time  0.439034
2021-09-27 04:46:08.869104 : Epoch  3, Batch    122, Loss  1.203790, Average Loss  1.204561, Time  0.440378
2021-09-27 04:46:14.766785 : Epoch  3, Batch    123, Loss  1.200976, Average Loss  1.204512, Time  0.441938
2021-09-27 04:46:20.707259 : Epoch  3, Batch    124, Loss  1.193704, Average Loss  1.204502, Time  0.439151
2021-09-27 04:46:26.603592 : Epoch  3, Batch    125, Loss  1.200469, Average Loss  1.204525, Time  0.442265
2021-09-27 04:46:32.503049 : Epoch  3, Batch    126, Loss  1.206058, Average Loss  1.204506, Time  0.443442
2021-09-27 04:46:38.435089 : Epoch  3, Batch    127, Loss  1.201574, Average Loss  1.204572, Time  0.447718
2021-09-27 04:46:44.336804 : Epoch  3, Batch    128, Loss  1.202161, Average Loss  1.204596, Time  0.441739
2021-09-27 04:46:50.250814 : Epoch  3, Batch    129, Loss  1.200879, Average Loss  1.204657, Time  0.439587
2021-09-27 04:46:56.152772 : Epoch  3, Batch    130, Loss  1.198983, Average Loss  1.204619, Time  0.439157
2021-09-27 04:47:02.062789 : Epoch  3, Batch    131, Loss  1.188242, Average Loss  1.204500, Time  0.439976
2021-09-27 04:47:07.955487 : Epoch  3, Batch    132, Loss  1.209878, Average Loss  1.204469, Time  0.443070
2021-09-27 04:47:13.874025 : Epoch  3, Batch    133, Loss  1.203185, Average Loss  1.204528, Time  0.443920
2021-09-27 04:47:19.785320 : Epoch  3, Batch    134, Loss  1.187189, Average Loss  1.204467, Time  0.440208
2021-09-27 04:47:25.691637 : Epoch  3, Batch    135, Loss  1.207753, Average Loss  1.204512, Time  0.450885
2021-09-27 04:47:31.584698 : Epoch  3, Batch    136, Loss  1.190708, Average Loss  1.204366, Time  0.438648
2021-09-27 04:47:37.478460 : Epoch  3, Batch    137, Loss  1.176994, Average Loss  1.204226, Time  0.439561
2021-09-27 04:47:43.379984 : Epoch  3, Batch    138, Loss  1.205878, Average Loss  1.204216, Time  0.441016
2021-09-27 04:47:49.282690 : Epoch  3, Batch    139, Loss  1.193070, Average Loss  1.204181, Time  0.441681
2021-09-27 04:47:55.195015 : Epoch  3, Batch    140, Loss  1.204741, Average Loss  1.204132, Time  0.442563
2021-09-27 04:48:01.091105 : Epoch  3, Batch    141, Loss  1.209451, Average Loss  1.204110, Time  0.442540
2021-09-27 04:48:06.987532 : Epoch  3, Batch    142, Loss  1.192619, Average Loss  1.204024, Time  0.438613
2021-09-27 04:48:12.915850 : Epoch  3, Batch    143, Loss  1.193423, Average Loss  1.203895, Time  0.455288
2021-09-27 04:48:24.371787 : Epoch  3, Batch    144, Loss  1.206649, Average Loss  1.203852, Time  0.442063
2021-09-27 04:53:00.841772 : CheckPoint: Validation Loss  0.00021108, Best Loss  0.00020644
2021-09-27 04:53:06.745250 : Epoch  3, Batch    145, Loss  1.200263, Average Loss  1.203782, Time  0.438953
2021-09-27 04:53:12.656781 : Epoch  3, Batch    146, Loss  1.214089, Average Loss  1.203790, Time  0.445564
2021-09-27 04:53:18.542298 : Epoch  3, Batch    147, Loss  1.206726, Average Loss  1.203810, Time  0.439895
2021-09-27 04:53:24.432843 : Epoch  3, Batch    148, Loss  1.201126, Average Loss  1.203836, Time  0.441681
2021-09-27 04:53:30.316140 : Epoch  3, Batch    149, Loss  1.190861, Average Loss  1.203790, Time  0.439518
2021-09-27 04:53:36.215804 : Epoch  3, Batch    150, Loss  1.206811, Average Loss  1.203834, Time  0.450975
2021-09-27 04:53:42.094477 : Epoch  3, Batch    151, Loss  1.198161, Average Loss  1.203843, Time  0.438980
2021-09-27 04:53:47.979840 : Epoch  3, Batch    152, Loss  1.197841, Average Loss  1.203766, Time  0.440327
2021-09-27 04:53:53.864771 : Epoch  3, Batch    153, Loss  1.189038, Average Loss  1.203667, Time  0.440335
2021-09-27 04:53:59.744752 : Epoch  3, Batch    154, Loss  1.195755, Average Loss  1.203588, Time  0.440662
2021-09-27 04:54:05.631796 : Epoch  3, Batch    155, Loss  1.217548, Average Loss  1.203638, Time  0.438513
2021-09-27 04:54:11.522133 : Epoch  3, Batch    156, Loss  1.195996, Average Loss  1.203587, Time  0.445342
2021-09-27 04:54:17.417682 : Epoch  3, Batch    157, Loss  1.198107, Average Loss  1.203548, Time  0.439306
2021-09-27 04:54:23.317680 : Epoch  3, Batch    158, Loss  1.212116, Average Loss  1.203606, Time  0.450891
2021-09-27 04:54:29.210949 : Epoch  3, Batch    159, Loss  1.188863, Average Loss  1.203547, Time  0.441386
2021-09-27 04:54:35.102287 : Epoch  3, Batch    160, Loss  1.225151, Average Loss  1.203629, Time  0.439900
2021-09-27 04:54:40.981755 : Epoch  3, Batch    161, Loss  1.204193, Average Loss  1.203685, Time  0.438394
2021-09-27 04:54:46.867788 : Epoch  3, Batch    162, Loss  1.208013, Average Loss  1.203661, Time  0.439148
2021-09-27 04:54:52.758301 : Epoch  3, Batch    163, Loss  1.208326, Average Loss  1.203722, Time  0.440311
2021-09-27 04:54:58.653349 : Epoch  3, Batch    164, Loss  1.195713, Average Loss  1.203739, Time  0.443753
2021-09-27 04:55:04.552384 : Epoch  3, Batch    165, Loss  1.211239, Average Loss  1.203798, Time  0.438792
2021-09-27 04:55:10.457795 : Epoch  3, Batch    166, Loss  1.194316, Average Loss  1.203795, Time  0.451252
2021-09-27 04:55:16.348429 : Epoch  3, Batch    167, Loss  1.215970, Average Loss  1.203876, Time  0.443690
2021-09-27 04:55:22.244327 : Epoch  3, Batch    168, Loss  1.217214, Average Loss  1.203967, Time  0.441112
2021-09-27 04:55:28.135673 : Epoch  3, Batch    169, Loss  1.208402, Average Loss  1.203895, Time  0.439223
2021-09-27 04:55:34.022816 : Epoch  3, Batch    170, Loss  1.202216, Average Loss  1.203814, Time  0.440491
2021-09-27 04:55:39.901732 : Epoch  3, Batch    171, Loss  1.197533, Average Loss  1.203770, Time  0.438436
2021-09-27 04:55:45.790128 : Epoch  3, Batch    172, Loss  1.213438, Average Loss  1.203776, Time  0.438784
2021-09-27 04:55:51.664696 : Epoch  3, Batch    173, Loss  1.205538, Average Loss  1.203855, Time  0.439667
2021-09-27 04:55:57.572795 : Epoch  3, Batch    174, Loss  1.219893, Average Loss  1.203997, Time  0.455698
2021-09-27 04:56:03.455885 : Epoch  3, Batch    175, Loss  1.202444, Average Loss  1.203995, Time  0.439471
2021-09-27 04:56:09.345757 : Epoch  3, Batch    176, Loss  1.209607, Average Loss  1.203990, Time  0.438759
2021-09-27 04:56:15.234183 : Epoch  3, Batch    177, Loss  1.197241, Average Loss  1.203892, Time  0.442918
2021-09-27 04:56:21.124370 : Epoch  3, Batch    178, Loss  1.212194, Average Loss  1.203921, Time  0.442813
2021-09-27 04:56:27.003730 : Epoch  3, Batch    179, Loss  1.189291, Average Loss  1.203960, Time  0.439345
2021-09-27 04:56:32.914800 : Epoch  3, Batch    180, Loss  1.211787, Average Loss  1.203965, Time  0.439513
2021-09-27 04:56:38.801444 : Epoch  3, Batch    181, Loss  1.208250, Average Loss  1.203952, Time  0.440640
2021-09-27 04:56:44.707682 : Epoch  3, Batch    182, Loss  1.211503, Average Loss  1.203966, Time  0.458484
2021-09-27 04:56:50.596791 : Epoch  3, Batch    183, Loss  1.204153, Average Loss  1.203982, Time  0.445435
2021-09-27 04:56:56.498666 : Epoch  3, Batch    184, Loss  1.209078, Average Loss  1.203977, Time  0.440707
2021-09-27 04:57:02.395710 : Epoch  3, Batch    185, Loss  1.195677, Average Loss  1.203936, Time  0.440228
2021-09-27 04:57:08.268487 : Epoch  3, Batch    186, Loss  1.197814, Average Loss  1.203845, Time  0.438219
2021-09-27 04:57:14.159254 : Epoch  3, Batch    187, Loss  1.206199, Average Loss  1.203868, Time  0.441300
2021-09-27 04:57:20.050483 : Epoch  3, Batch    188, Loss  1.205791, Average Loss  1.203859, Time  0.440134
2021-09-27 04:57:25.946748 : Epoch  3, Batch    189, Loss  1.204227, Average Loss  1.203855, Time  0.438799
2021-09-27 04:57:31.853468 : Epoch  3, Batch    190, Loss  1.208033, Average Loss  1.203916, Time  0.451081
2021-09-27 04:57:37.762784 : Epoch  3, Batch    191, Loss  1.201652, Average Loss  1.203953, Time  0.438932
2021-09-27 04:57:43.682840 : Epoch  3, Batch    192, Loss  1.189764, Average Loss  1.203903, Time  0.438320
2021-09-27 04:57:49.566521 : Epoch  3, Batch    193, Loss  1.207394, Average Loss  1.203986, Time  0.439819
2021-09-27 04:57:55.456408 : Epoch  3, Batch    194, Loss  1.206898, Average Loss  1.203976, Time  0.444192
2021-09-27 04:58:01.346776 : Epoch  3, Batch    195, Loss  1.202994, Average Loss  1.203844, Time  0.440113
2021-09-27 04:58:07.236526 : Epoch  3, Batch    196, Loss  1.193307, Average Loss  1.203801, Time  0.441054
2021-09-27 04:58:13.124286 : Epoch  3, Batch    197, Loss  1.212223, Average Loss  1.203781, Time  0.440099
2021-09-27 04:58:19.008250 : Epoch  3, Batch    198, Loss  1.212798, Average Loss  1.203761, Time  0.448674
2021-09-27 04:58:24.904167 : Epoch  3, Batch    199, Loss  1.202973, Average Loss  1.203780, Time  0.439844
2021-09-27 04:58:30.792259 : Epoch  3, Batch    200, Loss  1.206721, Average Loss  1.203855, Time  0.438842
2021-09-27 04:58:36.682460 : Epoch  3, Batch    201, Loss  1.188706, Average Loss  1.203732, Time  0.438861
2021-09-27 04:58:42.569083 : Epoch  3, Batch    202, Loss  1.194331, Average Loss  1.203795, Time  0.441407
2021-09-27 04:58:48.463199 : Epoch  3, Batch    203, Loss  1.197589, Average Loss  1.203803, Time  0.441417
2021-09-27 04:58:54.363077 : Epoch  3, Batch    204, Loss  1.185604, Average Loss  1.203673, Time  0.439633
2021-09-27 04:59:00.245801 : Epoch  3, Batch    205, Loss  1.214814, Average Loss  1.203754, Time  0.439790
2021-09-27 04:59:06.135057 : Epoch  3, Batch    206, Loss  1.210833, Average Loss  1.203786, Time  0.448968
2021-09-27 04:59:12.023470 : Epoch  3, Batch    207, Loss  1.199860, Average Loss  1.203718, Time  0.438825
2021-09-27 04:59:17.919095 : Epoch  3, Batch    208, Loss  1.203799, Average Loss  1.203666, Time  0.439634
2021-09-27 04:59:23.814762 : Epoch  3, Batch    209, Loss  1.190619, Average Loss  1.203594, Time  0.439019
2021-09-27 04:59:29.707389 : Epoch  3, Batch    210, Loss  1.197889, Average Loss  1.203481, Time  0.439277
2021-09-27 04:59:35.600130 : Epoch  3, Batch    211, Loss  1.204349, Average Loss  1.203476, Time  0.442336
2021-09-27 04:59:41.484977 : Epoch  3, Batch    212, Loss  1.207910, Average Loss  1.203518, Time  0.440870
2021-09-27 04:59:47.356820 : Epoch  3, Batch    213, Loss  1.198571, Average Loss  1.203519, Time  0.439296
2021-09-27 04:59:53.249785 : Epoch  3, Batch    214, Loss  1.207605, Average Loss  1.203557, Time  0.449510
2021-09-27 04:59:59.135027 : Epoch  3, Batch    215, Loss  1.181620, Average Loss  1.203472, Time  0.438916
2021-09-27 05:00:05.029738 : Epoch  3, Batch    216, Loss  1.204053, Average Loss  1.203489, Time  0.439917
2021-09-27 05:00:10.914396 : Epoch  3, Batch    217, Loss  1.207307, Average Loss  1.203507, Time  0.439591
2021-09-27 05:00:16.804346 : Epoch  3, Batch    218, Loss  1.194300, Average Loss  1.203397, Time  0.439613
2021-09-27 05:00:22.684686 : Epoch  3, Batch    219, Loss  1.191195, Average Loss  1.203284, Time  0.440183
2021-09-27 05:00:28.572738 : Epoch  3, Batch    220, Loss  1.212347, Average Loss  1.203311, Time  0.440872
2021-09-27 05:00:34.472154 : Epoch  3, Batch    221, Loss  1.208940, Average Loss  1.203256, Time  0.439035
2021-09-27 05:00:40.369179 : Epoch  3, Batch    222, Loss  1.185711, Average Loss  1.203051, Time  0.451490
2021-09-27 05:00:46.267792 : Epoch  3, Batch    223, Loss  1.204525, Average Loss  1.203103, Time  0.441239
2021-09-27 05:00:52.146908 : Epoch  3, Batch    224, Loss  1.180148, Average Loss  1.203013, Time  0.441334
2021-09-27 05:00:58.042269 : Epoch  3, Batch    225, Loss  1.194087, Average Loss  1.203004, Time  0.440167
2021-09-27 05:01:03.918975 : Epoch  3, Batch    226, Loss  1.187755, Average Loss  1.202893, Time  0.440115
2021-09-27 05:01:09.790229 : Epoch  3, Batch    227, Loss  1.195191, Average Loss  1.202916, Time  0.440518
2021-09-27 05:01:15.663287 : Epoch  3, Batch    228, Loss  1.197514, Average Loss  1.202892, Time  0.438902
2021-09-27 05:01:21.545884 : Epoch  3, Batch    229, Loss  1.214377, Average Loss  1.202952, Time  0.439497
2021-09-27 05:01:27.441936 : Epoch  3, Batch    230, Loss  1.207452, Average Loss  1.202926, Time  0.456588
2021-09-27 05:01:33.325825 : Epoch  3, Batch    231, Loss  1.199731, Average Loss  1.202921, Time  0.441965
2021-09-27 05:01:39.222160 : Epoch  3, Batch    232, Loss  1.202654, Average Loss  1.202904, Time  0.438498
2021-09-27 05:01:45.101163 : Epoch  3, Batch    233, Loss  1.193346, Average Loss  1.202859, Time  0.440045
2021-09-27 05:01:50.988315 : Epoch  3, Batch    234, Loss  1.209420, Average Loss  1.202732, Time  0.439477
2021-09-27 05:01:56.875748 : Epoch  3, Batch    235, Loss  1.204232, Average Loss  1.202763, Time  0.439207
2021-09-27 05:02:02.752790 : Epoch  3, Batch    236, Loss  1.208447, Average Loss  1.202778, Time  0.440251
2021-09-27 05:02:08.639026 : Epoch  3, Batch    237, Loss  1.203061, Average Loss  1.202739, Time  0.441398
2021-09-27 05:02:14.536254 : Epoch  3, Batch    238, Loss  1.211605, Average Loss  1.202724, Time  0.455267
2021-09-27 05:02:20.408635 : Epoch  3, Batch    239, Loss  1.206157, Average Loss  1.202749, Time  0.439851
2021-09-27 05:02:26.289145 : Epoch  3, Batch    240, Loss  1.205516, Average Loss  1.202792, Time  0.438705
2021-09-27 05:02:32.177326 : Epoch  3, Batch    241, Loss  1.205564, Average Loss  1.202761, Time  0.438985
2021-09-27 05:02:38.065842 : Epoch  3, Batch    242, Loss  1.218994, Average Loss  1.202815, Time  0.439610
2021-09-27 05:02:43.962909 : Epoch  3, Batch    243, Loss  1.220878, Average Loss  1.202892, Time  0.440368
2021-09-27 05:02:49.861514 : Epoch  3, Batch    244, Loss  1.182292, Average Loss  1.202798, Time  0.440671
2021-09-27 05:07:26.421481 : CheckPoint: Validation Loss  0.00020905, Best Loss  0.00020644
2021-09-27 05:07:32.317873 : Epoch  3, Batch    245, Loss  1.200940, Average Loss  1.202823, Time  0.439716
2021-09-27 05:07:38.212343 : Epoch  3, Batch    246, Loss  1.207234, Average Loss  1.202832, Time  0.448456
2021-09-27 05:07:44.099781 : Epoch  3, Batch    247, Loss  1.197315, Average Loss  1.202764, Time  0.438908
2021-09-27 05:07:49.991543 : Epoch  3, Batch    248, Loss  1.191278, Average Loss  1.202726, Time  0.442511
2021-09-27 05:07:55.885711 : Epoch  3, Batch    249, Loss  1.210871, Average Loss  1.202666, Time  0.441215
2021-09-27 05:08:01.780011 : Epoch  3, Batch    250, Loss  1.189881, Average Loss  1.202685, Time  0.439523
2021-09-27 05:08:07.667425 : Epoch  3, Batch    251, Loss  1.201739, Average Loss  1.202687, Time  0.439026
2021-09-27 05:08:13.558798 : Epoch  3, Batch    252, Loss  1.195565, Average Loss  1.202613, Time  0.438666
2021-09-27 05:08:19.448630 : Epoch  3, Batch    253, Loss  1.226022, Average Loss  1.202747, Time  0.447001
2021-09-27 05:08:25.353879 : Epoch  3, Batch    254, Loss  1.210441, Average Loss  1.202812, Time  0.453143
2021-09-27 05:08:31.248082 : Epoch  3, Batch    255, Loss  1.203377, Average Loss  1.202845, Time  0.443941
2021-09-27 05:08:37.140734 : Epoch  3, Batch    256, Loss  1.194898, Average Loss  1.202782, Time  0.439958
2021-09-27 05:08:43.028439 : Epoch  3, Batch    257, Loss  1.207561, Average Loss  1.202896, Time  0.438479
2021-09-27 05:08:48.919012 : Epoch  3, Batch    258, Loss  1.195935, Average Loss  1.202848, Time  0.438852
2021-09-27 05:08:54.809553 : Epoch  3, Batch    259, Loss  1.209284, Average Loss  1.202853, Time  0.439862
2021-09-27 05:09:00.708910 : Epoch  3, Batch    260, Loss  1.223785, Average Loss  1.202981, Time  0.440465
2021-09-27 05:09:06.602418 : Epoch  3, Batch    261, Loss  1.204347, Average Loss  1.203006, Time  0.441719
2021-09-27 05:09:12.519283 : Epoch  3, Batch    262, Loss  1.200999, Average Loss  1.202963, Time  0.454947
2021-09-27 05:09:18.398660 : Epoch  3, Batch    263, Loss  1.199084, Average Loss  1.202933, Time  0.438845
2021-09-27 05:09:24.284259 : Epoch  3, Batch    264, Loss  1.201869, Average Loss  1.202927, Time  0.438244
2021-09-27 05:09:30.170421 : Epoch  3, Batch    265, Loss  1.222611, Average Loss  1.203058, Time  0.439287
2021-09-27 05:09:36.071738 : Epoch  3, Batch    266, Loss  1.198478, Average Loss  1.203079, Time  0.439961
2021-09-27 05:09:41.966982 : Epoch  3, Batch    267, Loss  1.202477, Average Loss  1.203091, Time  0.441489
2021-09-27 05:09:47.856767 : Epoch  3, Batch    268, Loss  1.170513, Average Loss  1.202945, Time  0.439439
2021-09-27 05:09:53.766655 : Epoch  3, Batch    269, Loss  1.188693, Average Loss  1.202916, Time  0.440240
2021-09-27 05:09:59.672610 : Epoch  3, Batch    270, Loss  1.189431, Average Loss  1.202814, Time  0.453132
2021-09-27 05:10:05.563020 : Epoch  3, Batch    271, Loss  1.196564, Average Loss  1.202757, Time  0.441100
2021-09-27 05:10:11.453071 : Epoch  3, Batch    272, Loss  1.207476, Average Loss  1.202690, Time  0.438860
2021-09-27 05:10:17.338861 : Epoch  3, Batch    273, Loss  1.202578, Average Loss  1.202714, Time  0.441195
2021-09-27 05:10:23.238356 : Epoch  3, Batch    274, Loss  1.209867, Average Loss  1.202821, Time  0.442145
2021-09-27 05:10:29.118324 : Epoch  3, Batch    275, Loss  1.202206, Average Loss  1.202738, Time  0.440120
2021-09-27 05:10:35.010132 : Epoch  3, Batch    276, Loss  1.212821, Average Loss  1.202755, Time  0.438892
2021-09-27 05:10:40.901945 : Epoch  3, Batch    277, Loss  1.178570, Average Loss  1.202560, Time  0.440757
2021-09-27 05:10:46.812973 : Epoch  3, Batch    278, Loss  1.201821, Average Loss  1.202534, Time  0.451984
2021-09-27 05:10:52.703612 : Epoch  3, Batch    279, Loss  1.195094, Average Loss  1.202434, Time  0.439021
2021-09-27 05:10:58.593164 : Epoch  3, Batch    280, Loss  1.196951, Average Loss  1.202343, Time  0.441880
2021-09-27 05:11:04.503783 : Epoch  3, Batch    281, Loss  1.207693, Average Loss  1.202402, Time  0.440706
2021-09-27 05:11:10.396533 : Epoch  3, Batch    282, Loss  1.200265, Average Loss  1.202419, Time  0.440599
2021-09-27 05:11:16.286758 : Epoch  3, Batch    283, Loss  1.188344, Average Loss  1.202270, Time  0.440325
2021-09-27 05:11:22.173746 : Epoch  3, Batch    284, Loss  1.208045, Average Loss  1.202331, Time  0.439242
2021-09-27 05:11:28.065840 : Epoch  3, Batch    285, Loss  1.194452, Average Loss  1.202288, Time  0.445369
2021-09-27 05:11:33.971818 : Epoch  3, Batch    286, Loss  1.204093, Average Loss  1.202338, Time  0.450660
2021-09-27 05:11:39.860680 : Epoch  3, Batch    287, Loss  1.207899, Average Loss  1.202352, Time  0.441111
2021-09-27 05:11:45.747369 : Epoch  3, Batch    288, Loss  1.203939, Average Loss  1.202287, Time  0.439491
2021-09-27 05:11:51.639666 : Epoch  3, Batch    289, Loss  1.209445, Average Loss  1.202349, Time  0.441310
2021-09-27 05:11:57.528797 : Epoch  3, Batch    290, Loss  1.194045, Average Loss  1.202306, Time  0.438844
2021-09-27 05:12:03.416547 : Epoch  3, Batch    291, Loss  1.211446, Average Loss  1.202433, Time  0.439095
2021-09-27 05:12:09.299543 : Epoch  3, Batch    292, Loss  1.186537, Average Loss  1.202305, Time  0.439626
2021-09-27 05:12:15.186817 : Epoch  3, Batch    293, Loss  1.192770, Average Loss  1.202156, Time  0.438637
2021-09-27 05:12:21.085780 : Epoch  3, Batch    294, Loss  1.198973, Average Loss  1.202112, Time  0.449322
2021-09-27 05:12:26.984779 : Epoch  3, Batch    295, Loss  1.204781, Average Loss  1.202086, Time  0.438315
2021-09-27 05:12:32.877743 : Epoch  3, Batch    296, Loss  1.200054, Average Loss  1.202070, Time  0.439042
2021-09-27 05:12:38.776242 : Epoch  3, Batch    297, Loss  1.215004, Average Loss  1.202160, Time  0.440693
2021-09-27 05:12:44.666536 : Epoch  3, Batch    298, Loss  1.186167, Average Loss  1.202010, Time  0.439910
2021-09-27 05:12:50.555782 : Epoch  3, Batch    299, Loss  1.189173, Average Loss  1.201878, Time  0.439975
2021-09-27 05:12:56.451389 : Epoch  3, Batch    300, Loss  1.215194, Average Loss  1.202010, Time  0.439803
2021-09-27 05:13:02.339270 : Epoch  3, Batch    301, Loss  1.212550, Average Loss  1.202075, Time  0.438835
2021-09-27 05:13:08.234791 : Epoch  3, Batch    302, Loss  1.204907, Average Loss  1.202039, Time  0.448612
2021-09-27 05:13:14.120775 : Epoch  3, Batch    303, Loss  1.189095, Average Loss  1.202015, Time  0.442559
2021-09-27 05:13:20.007469 : Epoch  3, Batch    304, Loss  1.188195, Average Loss  1.201952, Time  0.439610
2021-09-27 05:13:25.897006 : Epoch  3, Batch    305, Loss  1.204978, Average Loss  1.201974, Time  0.439587
2021-09-27 05:13:31.781786 : Epoch  3, Batch    306, Loss  1.216885, Average Loss  1.202002, Time  0.440482
2021-09-27 05:13:37.676785 : Epoch  3, Batch    307, Loss  1.187909, Average Loss  1.201909, Time  0.442450
2021-09-27 05:13:43.585918 : Epoch  3, Batch    308, Loss  1.232890, Average Loss  1.201975, Time  0.440537
2021-09-27 05:13:49.482919 : Epoch  3, Batch    309, Loss  1.218085, Average Loss  1.202128, Time  0.439263
2021-09-27 05:13:55.395907 : Epoch  3, Batch    310, Loss  1.203211, Average Loss  1.202158, Time  0.445575
2021-09-27 05:14:01.298294 : Epoch  3, Batch    311, Loss  1.204544, Average Loss  1.202099, Time  0.439181
2021-09-27 05:14:07.190897 : Epoch  3, Batch    312, Loss  1.209751, Average Loss  1.202163, Time  0.440064
2021-09-27 05:14:13.090860 : Epoch  3, Batch    313, Loss  1.197145, Average Loss  1.202098, Time  0.440521
2021-09-27 05:14:18.973071 : Epoch  3, Batch    314, Loss  1.198044, Average Loss  1.202074, Time  0.439441
2021-09-27 05:14:24.858849 : Epoch  3, Batch    315, Loss  1.196590, Average Loss  1.202001, Time  0.439494
2021-09-27 05:14:30.746537 : Epoch  3, Batch    316, Loss  1.205980, Average Loss  1.202062, Time  0.439068
2021-09-27 05:14:36.644878 : Epoch  3, Batch    317, Loss  1.206832, Average Loss  1.202102, Time  0.444204
2021-09-27 05:14:42.561637 : Epoch  3, Batch    318, Loss  1.210611, Average Loss  1.202164, Time  0.455065
2021-09-27 05:14:48.468850 : Epoch  3, Batch    319, Loss  1.217140, Average Loss  1.202183, Time  0.441624
2021-09-27 05:14:54.373819 : Epoch  3, Batch    320, Loss  1.216365, Average Loss  1.202279, Time  0.440989
2021-09-27 05:15:00.273427 : Epoch  3, Batch    321, Loss  1.196996, Average Loss  1.202277, Time  0.439501
2021-09-27 05:15:06.170858 : Epoch  3, Batch    322, Loss  1.202801, Average Loss  1.202272, Time  0.439556
2021-09-27 05:15:12.057441 : Epoch  3, Batch    323, Loss  1.186302, Average Loss  1.202198, Time  0.439593
2021-09-27 05:15:17.949795 : Epoch  3, Batch    324, Loss  1.192179, Average Loss  1.202191, Time  0.438481
2021-09-27 05:15:23.842634 : Epoch  3, Batch    325, Loss  1.200087, Average Loss  1.202189, Time  0.439532
2021-09-27 05:15:29.740206 : Epoch  3, Batch    326, Loss  1.197365, Average Loss  1.202145, Time  0.452463
2021-09-27 05:15:35.621873 : Epoch  3, Batch    327, Loss  1.193707, Average Loss  1.202106, Time  0.442260
2021-09-27 05:15:41.509750 : Epoch  3, Batch    328, Loss  1.200208, Average Loss  1.202096, Time  0.438555
2021-09-27 05:15:47.405833 : Epoch  3, Batch    329, Loss  1.185273, Average Loss  1.202018, Time  0.439155
2021-09-27 05:15:53.293918 : Epoch  3, Batch    330, Loss  1.210497, Average Loss  1.202076, Time  0.440703
2021-09-27 05:15:59.187332 : Epoch  3, Batch    331, Loss  1.203460, Average Loss  1.202152, Time  0.438981
2021-09-27 05:16:05.080168 : Epoch  3, Batch    332, Loss  1.193975, Average Loss  1.202072, Time  0.440539
2021-09-27 05:16:10.968552 : Epoch  3, Batch    333, Loss  1.199439, Average Loss  1.202054, Time  0.440801
2021-09-27 05:16:16.865251 : Epoch  3, Batch    334, Loss  1.197287, Average Loss  1.202104, Time  0.451870
2021-09-27 05:16:22.761133 : Epoch  3, Batch    335, Loss  1.193804, Average Loss  1.202034, Time  0.440741
2021-09-27 05:16:28.646247 : Epoch  3, Batch    336, Loss  1.190826, Average Loss  1.202035, Time  0.439367
2021-09-27 05:16:34.542534 : Epoch  3, Batch    337, Loss  1.196761, Average Loss  1.202134, Time  0.439888
2021-09-27 05:16:40.423855 : Epoch  3, Batch    338, Loss  1.198495, Average Loss  1.202097, Time  0.440612
2021-09-27 05:16:46.311078 : Epoch  3, Batch    339, Loss  1.212112, Average Loss  1.202192, Time  0.439138
2021-09-27 05:16:52.197827 : Epoch  3, Batch    340, Loss  1.205099, Average Loss  1.202194, Time  0.442853
2021-09-27 05:16:58.081786 : Epoch  3, Batch    341, Loss  1.215439, Average Loss  1.202224, Time  0.440280
2021-09-27 05:17:03.988868 : Epoch  3, Batch    342, Loss  1.196619, Average Loss  1.202244, Time  0.454483
2021-09-27 05:17:09.874418 : Epoch  3, Batch    343, Loss  1.208506, Average Loss  1.202319, Time  0.440136
2021-09-27 05:17:15.754745 : Epoch  3, Batch    344, Loss  1.209946, Average Loss  1.202336, Time  0.438740
2021-09-27 05:21:51.709781 : CheckPoint: Validation Loss  0.00020522, Best Loss  0.00020522
2021-09-27 05:21:51.752682 : Best Model Updated
2021-09-27 05:21:58.411868 : Epoch  3, Batch    345, Loss  1.198093, Average Loss  1.202325, Time  0.440264
2021-09-27 05:22:04.323947 : Epoch  3, Batch    346, Loss  1.177872, Average Loss  1.202144, Time  0.440654
2021-09-27 05:22:10.239496 : Epoch  3, Batch    347, Loss  1.211581, Average Loss  1.202168, Time  0.438528
2021-09-27 05:22:16.168022 : Epoch  3, Batch    348, Loss  1.190487, Average Loss  1.202115, Time  0.439841
2021-09-27 05:22:22.096744 : Epoch  3, Batch    349, Loss  1.193335, Average Loss  1.202127, Time  0.439084
2021-09-27 05:22:28.026643 : Epoch  3, Batch    350, Loss  1.195603, Average Loss  1.202071, Time  0.451914
2021-09-27 05:22:33.957539 : Epoch  3, Batch    351, Loss  1.201015, Average Loss  1.202086, Time  0.439407
2021-09-27 05:22:39.873164 : Epoch  3, Batch    352, Loss  1.218974, Average Loss  1.202191, Time  0.438422
2021-09-27 05:22:45.790827 : Epoch  3, Batch    353, Loss  1.204674, Average Loss  1.202269, Time  0.438914
2021-09-27 05:22:51.713943 : Epoch  3, Batch    354, Loss  1.211841, Average Loss  1.202350, Time  0.441277
2021-09-27 05:22:57.630766 : Epoch  3, Batch    355, Loss  1.203638, Average Loss  1.202280, Time  0.440539
2021-09-27 05:23:03.553147 : Epoch  3, Batch    356, Loss  1.199008, Average Loss  1.202295, Time  0.441577
2021-09-27 05:23:09.466337 : Epoch  3, Batch    357, Loss  1.181108, Average Loss  1.202210, Time  0.440649
2021-09-27 05:23:15.387591 : Epoch  3, Batch    358, Loss  1.191781, Average Loss  1.202109, Time  0.444752
2021-09-27 05:23:21.309824 : Epoch  3, Batch    359, Loss  1.213160, Average Loss  1.202230, Time  0.442282
2021-09-27 05:23:27.232654 : Epoch  3, Batch    360, Loss  1.209146, Average Loss  1.202150, Time  0.439116
2021-09-27 05:23:33.159383 : Epoch  3, Batch    361, Loss  1.192064, Average Loss  1.202089, Time  0.445212
2021-09-27 05:23:39.082823 : Epoch  3, Batch    362, Loss  1.210809, Average Loss  1.202103, Time  0.441733
2021-09-27 05:23:45.018477 : Epoch  3, Batch    363, Loss  1.187382, Average Loss  1.201999, Time  0.438836
2021-09-27 05:23:50.952325 : Epoch  3, Batch    364, Loss  1.209165, Average Loss  1.202066, Time  0.440567
2021-09-27 05:23:56.896964 : Epoch  3, Batch    365, Loss  1.192946, Average Loss  1.201974, Time  0.456065
2021-09-27 05:24:02.836651 : Epoch  3, Batch    366, Loss  1.198082, Average Loss  1.201993, Time  0.443633
2021-09-27 05:24:08.761306 : Epoch  3, Batch    367, Loss  1.210812, Average Loss  1.201968, Time  0.439252
2021-09-27 05:24:14.682807 : Epoch  3, Batch    368, Loss  1.193326, Average Loss  1.201848, Time  0.440050
2021-09-27 05:24:20.602867 : Epoch  3, Batch    369, Loss  1.188168, Average Loss  1.201747, Time  0.441981
2021-09-27 05:24:26.531323 : Epoch  3, Batch    370, Loss  1.196463, Average Loss  1.201718, Time  0.439899
2021-09-27 05:24:32.448488 : Epoch  3, Batch    371, Loss  1.188000, Average Loss  1.201670, Time  0.440455
2021-09-27 05:24:38.370813 : Epoch  3, Batch    372, Loss  1.205544, Average Loss  1.201631, Time  0.441990
2021-09-27 05:24:44.293974 : Epoch  3, Batch    373, Loss  1.204131, Average Loss  1.201624, Time  0.448832
2021-09-27 05:24:50.224770 : Epoch  3, Batch    374, Loss  1.210509, Average Loss  1.201577, Time  0.439713
2021-09-27 05:24:56.156897 : Epoch  3, Batch    375, Loss  1.206405, Average Loss  1.201597, Time  0.441429
2021-09-27 05:25:02.076847 : Epoch  3, Batch    376, Loss  1.214326, Average Loss  1.201620, Time  0.440823
2021-09-27 05:25:08.007738 : Epoch  3, Batch    377, Loss  1.206886, Average Loss  1.201669, Time  0.438792
2021-09-27 05:25:13.934779 : Epoch  3, Batch    378, Loss  1.201425, Average Loss  1.201615, Time  0.441203
2021-09-27 05:25:19.860231 : Epoch  3, Batch    379, Loss  1.200698, Average Loss  1.201672, Time  0.440476
2021-09-27 05:25:25.778852 : Epoch  3, Batch    380, Loss  1.212573, Average Loss  1.201676, Time  0.439993
2021-09-27 05:25:31.709526 : Epoch  3, Batch    381, Loss  1.194345, Average Loss  1.201606, Time  0.452536
2021-09-27 05:25:37.622239 : Epoch  3, Batch    382, Loss  1.209676, Average Loss  1.201597, Time  0.438872
2021-09-27 05:25:43.540520 : Epoch  3, Batch    383, Loss  1.184639, Average Loss  1.201500, Time  0.439723
2021-09-27 05:25:49.453722 : Epoch  3, Batch    384, Loss  1.206802, Average Loss  1.201488, Time  0.440135
2021-09-27 05:25:55.372867 : Epoch  3, Batch    385, Loss  1.203074, Average Loss  1.201525, Time  0.439587
2021-09-27 05:26:01.299773 : Epoch  3, Batch    386, Loss  1.210262, Average Loss  1.201587, Time  0.441592
2021-09-27 05:26:07.234840 : Epoch  3, Batch    387, Loss  1.202490, Average Loss  1.201569, Time  0.438794
2021-09-27 05:26:13.155132 : Epoch  3, Batch    388, Loss  1.195459, Average Loss  1.201517, Time  0.439513
2021-09-27 05:26:19.098090 : Epoch  3, Batch    389, Loss  1.202273, Average Loss  1.201507, Time  0.456502
2021-09-27 05:26:25.028433 : Epoch  3, Batch    390, Loss  1.207932, Average Loss  1.201507, Time  0.442430
2021-09-27 05:26:30.962156 : Epoch  3, Batch    391, Loss  1.197915, Average Loss  1.201488, Time  0.439020
2021-09-27 05:26:36.890235 : Epoch  3, Batch    392, Loss  1.182877, Average Loss  1.201454, Time  0.439011
2021-09-27 05:26:42.821555 : Epoch  3, Batch    393, Loss  1.190373, Average Loss  1.201369, Time  0.442963
2021-09-27 05:26:48.754772 : Epoch  3, Batch    394, Loss  1.203274, Average Loss  1.201351, Time  0.441231
2021-09-27 05:26:54.686612 : Epoch  3, Batch    395, Loss  1.199693, Average Loss  1.201334, Time  0.439137
2021-09-27 05:27:00.616800 : Epoch  3, Batch    396, Loss  1.204168, Average Loss  1.201388, Time  0.441018
2021-09-27 05:27:06.565064 : Epoch  3, Batch    397, Loss  1.193673, Average Loss  1.201296, Time  0.457883
2021-09-27 05:27:12.495055 : Epoch  3, Batch    398, Loss  1.212932, Average Loss  1.201296, Time  0.439210
2021-09-27 05:27:18.429931 : Epoch  3, Batch    399, Loss  1.194525, Average Loss  1.201254, Time  0.441013
2021-09-27 05:27:24.355286 : Epoch  3, Batch    400, Loss  1.199198, Average Loss  1.201216, Time  0.440077
2021-09-27 05:27:30.277902 : Epoch  3, Batch    401, Loss  1.202632, Average Loss  1.201286, Time  0.441044
2021-09-27 05:27:36.207805 : Epoch  3, Batch    402, Loss  1.202501, Average Loss  1.201327, Time  0.440399
2021-09-27 05:27:42.151700 : Epoch  3, Batch    403, Loss  1.209619, Average Loss  1.201387, Time  0.438922
2021-09-27 05:27:48.091463 : Epoch  3, Batch    404, Loss  1.206511, Average Loss  1.201492, Time  0.443139
2021-09-27 05:27:54.041796 : Epoch  3, Batch    405, Loss  1.207611, Average Loss  1.201456, Time  0.458102
2021-09-27 05:27:59.978872 : Epoch  3, Batch    406, Loss  1.197402, Average Loss  1.201388, Time  0.446509
2021-09-27 05:28:05.898795 : Epoch  3, Batch    407, Loss  1.200559, Average Loss  1.201392, Time  0.439181
2021-09-27 05:28:11.826188 : Epoch  3, Batch    408, Loss  1.194748, Average Loss  1.201347, Time  0.438657
2021-09-27 05:28:17.743072 : Epoch  3, Batch    409, Loss  1.192863, Average Loss  1.201358, Time  0.438564
2021-09-27 05:28:23.663826 : Epoch  3, Batch    410, Loss  1.220306, Average Loss  1.201470, Time  0.439638
2021-09-27 05:28:29.586915 : Epoch  3, Batch    411, Loss  1.214212, Average Loss  1.201519, Time  0.438432
2021-09-27 05:28:35.507855 : Epoch  3, Batch    412, Loss  1.211013, Average Loss  1.201535, Time  0.438669
2021-09-27 05:28:41.446257 : Epoch  3, Batch    413, Loss  1.206720, Average Loss  1.201576, Time  0.447600
2021-09-27 05:28:47.375082 : Epoch  3, Batch    414, Loss  1.195008, Average Loss  1.201513, Time  0.441347
2021-09-27 05:28:53.301888 : Epoch  3, Batch    415, Loss  1.212252, Average Loss  1.201666, Time  0.438917
2021-09-27 05:28:59.234746 : Epoch  3, Batch    416, Loss  1.217730, Average Loss  1.201734, Time  0.441377
2021-09-27 05:29:05.159423 : Epoch  3, Batch    417, Loss  1.216318, Average Loss  1.201779, Time  0.439950
2021-09-27 05:29:11.080983 : Epoch  3, Batch    418, Loss  1.197941, Average Loss  1.201797, Time  0.441075
2021-09-27 05:29:17.000272 : Epoch  3, Batch    419, Loss  1.199946, Average Loss  1.201841, Time  0.439582
2021-09-27 05:29:22.931776 : Epoch  3, Batch    420, Loss  1.212803, Average Loss  1.201843, Time  0.439424
2021-09-27 05:29:28.879977 : Epoch  3, Batch    421, Loss  1.199851, Average Loss  1.201798, Time  0.449967
2021-09-27 05:29:34.810861 : Epoch  3, Batch    422, Loss  1.216138, Average Loss  1.201950, Time  0.442849
2021-09-27 05:29:40.736838 : Epoch  3, Batch    423, Loss  1.177433, Average Loss  1.201815, Time  0.438818
2021-09-27 05:29:46.672205 : Epoch  3, Batch    424, Loss  1.199659, Average Loss  1.201912, Time  0.441837
2021-09-27 05:29:52.604463 : Epoch  3, Batch    425, Loss  1.206027, Average Loss  1.201972, Time  0.440792
2021-09-27 05:29:58.535690 : Epoch  3, Batch    426, Loss  1.188820, Average Loss  1.201977, Time  0.439531
2021-09-27 05:30:04.453324 : Epoch  3, Batch    427, Loss  1.219455, Average Loss  1.202099, Time  0.439516
2021-09-27 05:30:10.374359 : Epoch  3, Batch    428, Loss  1.193502, Average Loss  1.202078, Time  0.441326
2021-09-27 05:30:16.309740 : Epoch  3, Batch    429, Loss  1.194907, Average Loss  1.201981, Time  0.452163
2021-09-27 05:30:22.232776 : Epoch  3, Batch    430, Loss  1.185814, Average Loss  1.201873, Time  0.439805
2021-09-27 05:30:28.153244 : Epoch  3, Batch    431, Loss  1.202552, Average Loss  1.201887, Time  0.440213
2021-09-27 05:30:34.093803 : Epoch  3, Batch    432, Loss  1.199707, Average Loss  1.201872, Time  0.440072
2021-09-27 05:30:40.020827 : Epoch  3, Batch    433, Loss  1.199364, Average Loss  1.201902, Time  0.443607
2021-09-27 05:30:45.944595 : Epoch  3, Batch    434, Loss  1.197739, Average Loss  1.201844, Time  0.440006
2021-09-27 05:30:51.861692 : Epoch  3, Batch    435, Loss  1.212569, Average Loss  1.201886, Time  0.440584
2021-09-27 05:30:57.795329 : Epoch  3, Batch    436, Loss  1.190912, Average Loss  1.201798, Time  0.450688
2021-09-27 05:31:03.725775 : Epoch  3, Batch    437, Loss  1.176986, Average Loss  1.201668, Time  0.439193
2021-09-27 05:31:09.656689 : Epoch  3, Batch    438, Loss  1.186216, Average Loss  1.201541, Time  0.439945
2021-09-27 05:31:15.581027 : Epoch  3, Batch    439, Loss  1.217044, Average Loss  1.201595, Time  0.441517
2021-09-27 05:31:21.502527 : Epoch  3, Batch    440, Loss  1.193205, Average Loss  1.201534, Time  0.440002
2021-09-27 05:31:27.429134 : Epoch  3, Batch    441, Loss  1.199925, Average Loss  1.201505, Time  0.439843
2021-09-27 05:31:33.347783 : Epoch  3, Batch    442, Loss  1.191501, Average Loss  1.201368, Time  0.439130
2021-09-27 05:31:39.273035 : Epoch  3, Batch    443, Loss  1.193158, Average Loss  1.201229, Time  0.439883
2021-09-27 05:31:45.207473 : Epoch  3, Batch    444, Loss  1.192076, Average Loss  1.201278, Time  0.452684
2021-09-27 05:36:21.192267 : CheckPoint: Validation Loss  0.00020394, Best Loss  0.00020394
2021-09-27 05:36:21.220939 : Best Model Updated
2021-09-27 05:36:27.806810 : Epoch  3, Batch    445, Loss  1.204172, Average Loss  1.201294, Time  0.453292
2021-09-27 05:36:33.773636 : Epoch  3, Batch    446, Loss  1.194862, Average Loss  1.201233, Time  0.439466
2021-09-27 05:36:39.732057 : Epoch  3, Batch    447, Loss  1.204884, Average Loss  1.201270, Time  0.439209
2021-09-27 05:36:45.701038 : Epoch  3, Batch    448, Loss  1.204119, Average Loss  1.201335, Time  0.439037
2021-09-27 05:36:51.666797 : Epoch  3, Batch    449, Loss  1.198393, Average Loss  1.201272, Time  0.439308
2021-09-27 05:36:57.644350 : Epoch  3, Batch    450, Loss  1.223814, Average Loss  1.201442, Time  0.442066
2021-09-27 05:37:03.604560 : Epoch  3, Batch    451, Loss  1.217630, Average Loss  1.201521, Time  0.440723
2021-09-27 05:37:09.573778 : Epoch  3, Batch    452, Loss  1.207824, Average Loss  1.201583, Time  0.454721
2021-09-27 05:37:15.544007 : Epoch  3, Batch    453, Loss  1.205663, Average Loss  1.201481, Time  0.439260
2021-09-27 05:37:21.515053 : Epoch  3, Batch    454, Loss  1.191794, Average Loss  1.201388, Time  0.440186
2021-09-27 05:37:27.483040 : Epoch  3, Batch    455, Loss  1.196536, Average Loss  1.201353, Time  0.439438
2021-09-27 05:37:33.435806 : Epoch  3, Batch    456, Loss  1.208911, Average Loss  1.201423, Time  0.439858
2021-09-27 05:37:39.408275 : Epoch  3, Batch    457, Loss  1.194971, Average Loss  1.201360, Time  0.439554
2021-09-27 05:37:45.370913 : Epoch  3, Batch    458, Loss  1.214936, Average Loss  1.201455, Time  0.440286
2021-09-27 05:37:51.338971 : Epoch  3, Batch    459, Loss  1.212129, Average Loss  1.201470, Time  0.439363
2021-09-27 05:37:57.315757 : Epoch  3, Batch    460, Loss  1.201372, Average Loss  1.201358, Time  0.455362
2021-09-27 05:38:03.283787 : Epoch  3, Batch    461, Loss  1.200389, Average Loss  1.201338, Time  0.442858
2021-09-27 05:38:09.248764 : Epoch  3, Batch    462, Loss  1.202656, Average Loss  1.201346, Time  0.439523
2021-09-27 05:38:15.212793 : Epoch  3, Batch    463, Loss  1.200576, Average Loss  1.201354, Time  0.440698
2021-09-27 05:38:21.180798 : Epoch  3, Batch    464, Loss  1.195332, Average Loss  1.201321, Time  0.438882
2021-09-27 05:38:27.141804 : Epoch  3, Batch    465, Loss  1.206431, Average Loss  1.201240, Time  0.439657
2021-09-27 05:38:33.094629 : Epoch  3, Batch    466, Loss  1.209599, Average Loss  1.201296, Time  0.440311
2021-09-27 05:38:39.058969 : Epoch  3, Batch    467, Loss  1.208374, Average Loss  1.201325, Time  0.445730
2021-09-27 05:38:45.013419 : Epoch  3, Batch    468, Loss  1.202284, Average Loss  1.201484, Time  0.441214
2021-09-27 05:38:50.976482 : Epoch  3, Batch    469, Loss  1.187226, Average Loss  1.201477, Time  0.441746
2021-09-27 05:38:56.933877 : Epoch  3, Batch    470, Loss  1.204156, Average Loss  1.201550, Time  0.438896
2021-09-27 05:39:02.890798 : Epoch  3, Batch    471, Loss  1.211951, Average Loss  1.201627, Time  0.440504
2021-09-27 05:39:08.868709 : Epoch  3, Batch    472, Loss  1.196428, Average Loss  1.201572, Time  0.438888
2021-09-27 05:39:14.833549 : Epoch  3, Batch    473, Loss  1.219627, Average Loss  1.201657, Time  0.440693
2021-09-27 05:39:20.800426 : Epoch  3, Batch    474, Loss  1.199298, Average Loss  1.201604, Time  0.445742
2021-09-27 05:39:26.771598 : Epoch  3, Batch    475, Loss  1.205383, Average Loss  1.201620, Time  0.452680
2021-09-27 05:39:32.744316 : Epoch  3, Batch    476, Loss  1.192225, Average Loss  1.201517, Time  0.440540
2021-09-27 05:39:38.706671 : Epoch  3, Batch    477, Loss  1.220733, Average Loss  1.201728, Time  0.442449
2021-09-27 05:39:44.677779 : Epoch  3, Batch    478, Loss  1.193263, Average Loss  1.201685, Time  0.438774
2021-09-27 05:39:50.646302 : Epoch  3, Batch    479, Loss  1.197796, Average Loss  1.201699, Time  0.439092
2021-09-27 05:39:56.611182 : Epoch  3, Batch    480, Loss  1.196045, Average Loss  1.201694, Time  0.438878
2021-09-27 05:40:02.576444 : Epoch  3, Batch    481, Loss  1.200584, Average Loss  1.201659, Time  0.439509
2021-09-27 05:40:08.542865 : Epoch  3, Batch    482, Loss  1.199219, Average Loss  1.201653, Time  0.439482
2021-09-27 05:40:14.523782 : Epoch  3, Batch    483, Loss  1.216087, Average Loss  1.201792, Time  0.455611
2021-09-27 05:40:20.496997 : Epoch  3, Batch    484, Loss  1.205938, Average Loss  1.201782, Time  0.444051
2021-09-27 05:40:26.456497 : Epoch  3, Batch    485, Loss  1.196454, Average Loss  1.201792, Time  0.440127
2021-09-27 05:40:32.433882 : Epoch  3, Batch    486, Loss  1.196260, Average Loss  1.201753, Time  0.442665
2021-09-27 05:40:38.400718 : Epoch  3, Batch    487, Loss  1.209131, Average Loss  1.201759, Time  0.440219
2021-09-27 05:40:44.360571 : Epoch  3, Batch    488, Loss  1.198791, Average Loss  1.201733, Time  0.440092
2021-09-27 05:40:50.335828 : Epoch  3, Batch    489, Loss  1.194453, Average Loss  1.201658, Time  0.440233
2021-09-27 05:40:56.301426 : Epoch  3, Batch    490, Loss  1.201742, Average Loss  1.201696, Time  0.443161
2021-09-27 05:41:02.278663 : Epoch  3, Batch    491, Loss  1.201651, Average Loss  1.201647, Time  0.445114
2021-09-27 05:41:08.237711 : Epoch  3, Batch    492, Loss  1.215052, Average Loss  1.201790, Time  0.440426
2021-09-27 05:41:14.208087 : Epoch  3, Batch    493, Loss  1.203775, Average Loss  1.201845, Time  0.441361
2021-09-27 05:41:20.188805 : Epoch  3, Batch    494, Loss  1.189535, Average Loss  1.201798, Time  0.440355
2021-09-27 05:41:26.152880 : Epoch  3, Batch    495, Loss  1.200031, Average Loss  1.201774, Time  0.441737
2021-09-27 05:41:32.109438 : Epoch  3, Batch    496, Loss  1.201830, Average Loss  1.201783, Time  0.441370
2021-09-27 05:41:38.070722 : Epoch  3, Batch    497, Loss  1.199249, Average Loss  1.201704, Time  0.440178
2021-09-27 05:41:44.050071 : Epoch  3, Batch    498, Loss  1.210281, Average Loss  1.201825, Time  0.448503
2021-09-27 05:41:50.029843 : Epoch  3, Batch    499, Loss  1.192784, Average Loss  1.201843, Time  0.441876
2021-09-27 05:41:55.989788 : Epoch  3, Batch    500, Loss  1.191995, Average Loss  1.201727, Time  0.438571
2021-09-27 05:42:01.961677 : Epoch  3, Batch    501, Loss  1.197754, Average Loss  1.201653, Time  0.445538
2021-09-27 05:42:07.914791 : Epoch  3, Batch    502, Loss  1.196881, Average Loss  1.201613, Time  0.439542
2021-09-27 05:42:13.878986 : Epoch  3, Batch    503, Loss  1.202976, Average Loss  1.201682, Time  0.442878
2021-09-27 05:42:19.838269 : Epoch  3, Batch    504, Loss  1.205245, Average Loss  1.201767, Time  0.441374
2021-09-27 05:42:25.794775 : Epoch  3, Batch    505, Loss  1.184207, Average Loss  1.201664, Time  0.439003
2021-09-27 05:42:31.763795 : Epoch  3, Batch    506, Loss  1.218646, Average Loss  1.201672, Time  0.455667
2021-09-27 05:42:37.719453 : Epoch  3, Batch    507, Loss  1.209086, Average Loss  1.201778, Time  0.439538
2021-09-27 05:42:43.669287 : Epoch  3, Batch    508, Loss  1.191751, Average Loss  1.201573, Time  0.439420
2021-09-27 05:42:49.634723 : Epoch  3, Batch    509, Loss  1.220975, Average Loss  1.201587, Time  0.440219
2021-09-27 05:42:55.586369 : Epoch  3, Batch    510, Loss  1.222692, Average Loss  1.201684, Time  0.440322
2021-09-27 05:43:01.548044 : Epoch  3, Batch    511, Loss  1.203443, Average Loss  1.201679, Time  0.439564
2021-09-27 05:43:07.505766 : Epoch  3, Batch    512, Loss  1.215354, Average Loss  1.201707, Time  0.441341
2021-09-27 05:43:13.466794 : Epoch  3, Batch    513, Loss  1.201765, Average Loss  1.201730, Time  0.440139
2021-09-27 05:43:19.435282 : Epoch  3, Batch    514, Loss  1.200204, Average Loss  1.201741, Time  0.451518
2021-09-27 05:43:25.386249 : Epoch  3, Batch    515, Loss  1.211928, Average Loss  1.201817, Time  0.439421
2021-09-27 05:43:31.348601 : Epoch  3, Batch    516, Loss  1.201090, Average Loss  1.201793, Time  0.443692
2021-09-27 05:43:37.302790 : Epoch  3, Batch    517, Loss  1.203499, Average Loss  1.201776, Time  0.439230
2021-09-27 05:43:43.253663 : Epoch  3, Batch    518, Loss  1.196281, Average Loss  1.201705, Time  0.444573
2021-09-27 05:43:49.210385 : Epoch  3, Batch    519, Loss  1.199451, Average Loss  1.201616, Time  0.439817
2021-09-27 05:43:55.173485 : Epoch  3, Batch    520, Loss  1.197907, Average Loss  1.201524, Time  0.438759
2021-09-27 05:44:01.145822 : Epoch  3, Batch    521, Loss  1.215116, Average Loss  1.201615, Time  0.454765
2021-09-27 05:44:07.103171 : Epoch  3, Batch    522, Loss  1.209210, Average Loss  1.201647, Time  0.439091
2021-09-27 05:44:13.052867 : Epoch  3, Batch    523, Loss  1.182010, Average Loss  1.201625, Time  0.438662
2021-09-27 05:44:19.021747 : Epoch  3, Batch    524, Loss  1.192284, Average Loss  1.201626, Time  0.440023
2021-09-27 05:44:24.974446 : Epoch  3, Batch    525, Loss  1.211499, Average Loss  1.201683, Time  0.440483
2021-09-27 05:44:30.933792 : Epoch  3, Batch    526, Loss  1.198022, Average Loss  1.201686, Time  0.439415
2021-09-27 05:44:36.874720 : Epoch  3, Batch    527, Loss  1.206740, Average Loss  1.201751, Time  0.439182
2021-09-27 05:44:42.823740 : Epoch  3, Batch    528, Loss  1.213398, Average Loss  1.201817, Time  0.439049
2021-09-27 05:44:48.788944 : Epoch  3, Batch    529, Loss  1.213201, Average Loss  1.201957, Time  0.453672
2021-09-27 05:44:54.745774 : Epoch  3, Batch    530, Loss  1.193548, Average Loss  1.201872, Time  0.438599
2021-09-27 05:45:00.703980 : Epoch  3, Batch    531, Loss  1.208719, Average Loss  1.201898, Time  0.440351
2021-09-27 05:45:06.655803 : Epoch  3, Batch    532, Loss  1.213462, Average Loss  1.201996, Time  0.440467
2021-09-27 05:45:12.605491 : Epoch  3, Batch    533, Loss  1.187695, Average Loss  1.201937, Time  0.440945
2021-09-27 05:45:18.586703 : Epoch  3, Batch    534, Loss  1.194412, Average Loss  1.201923, Time  0.442204
2021-09-27 05:45:24.539193 : Epoch  3, Batch    535, Loss  1.201394, Average Loss  1.201961, Time  0.440653
2021-09-27 05:45:30.500276 : Epoch  3, Batch    536, Loss  1.214922, Average Loss  1.202081, Time  0.440253
2021-09-27 05:45:36.481692 : Epoch  3, Batch    537, Loss  1.208229, Average Loss  1.202138, Time  0.452030
2021-09-27 05:45:42.445864 : Epoch  3, Batch    538, Loss  1.208818, Average Loss  1.202190, Time  0.445117
2021-09-27 05:45:48.396898 : Epoch  3, Batch    539, Loss  1.192475, Average Loss  1.202092, Time  0.439973
2021-09-27 05:45:54.361480 : Epoch  3, Batch    540, Loss  1.193095, Average Loss  1.202032, Time  0.439633
2021-09-27 05:46:00.322490 : Epoch  3, Batch    541, Loss  1.200065, Average Loss  1.201955, Time  0.438612
2021-09-27 05:46:06.285741 : Epoch  3, Batch    542, Loss  1.201848, Average Loss  1.201981, Time  0.440391
2021-09-27 05:46:12.241291 : Epoch  3, Batch    543, Loss  1.213783, Average Loss  1.202008, Time  0.441600
2021-09-27 05:46:18.222397 : Epoch  3, Batch    544, Loss  1.206978, Average Loss  1.201993, Time  0.457937
2021-09-27 05:50:54.683739 : CheckPoint: Validation Loss  0.00020843, Best Loss  0.00020394
2021-09-27 05:51:00.598910 : Epoch  3, Batch    545, Loss  1.202249, Average Loss  1.202013, Time  0.452682
2021-09-27 05:51:06.541233 : Epoch  3, Batch    546, Loss  1.208103, Average Loss  1.202165, Time  0.439986
2021-09-27 05:51:12.487720 : Epoch  3, Batch    547, Loss  1.197398, Average Loss  1.202094, Time  0.440285
2021-09-27 05:51:18.417379 : Epoch  3, Batch    548, Loss  1.201858, Average Loss  1.202151, Time  0.438951
2021-09-27 05:51:24.357842 : Epoch  3, Batch    549, Loss  1.184113, Average Loss  1.202104, Time  0.439803
2021-09-27 05:51:30.307731 : Epoch  3, Batch    550, Loss  1.208135, Average Loss  1.202167, Time  0.439978
2021-09-27 05:51:36.247794 : Epoch  3, Batch    551, Loss  1.201786, Average Loss  1.202171, Time  0.438437
2021-09-27 05:51:42.192986 : Epoch  3, Batch    552, Loss  1.216157, Average Loss  1.202157, Time  0.440189
2021-09-27 05:51:48.151812 : Epoch  3, Batch    553, Loss  1.194736, Average Loss  1.202107, Time  0.450238
2021-09-27 05:51:54.104193 : Epoch  3, Batch    554, Loss  1.210777, Average Loss  1.202102, Time  0.440060
2021-09-27 05:52:00.053218 : Epoch  3, Batch    555, Loss  1.207163, Average Loss  1.202120, Time  0.440112
2021-09-27 05:52:06.001877 : Epoch  3, Batch    556, Loss  1.191234, Average Loss  1.202081, Time  0.439405
2021-09-27 05:52:11.946747 : Epoch  3, Batch    557, Loss  1.186661, Average Loss  1.202108, Time  0.440923
2021-09-27 05:52:17.911138 : Epoch  3, Batch    558, Loss  1.204815, Average Loss  1.202174, Time  0.442097
2021-09-27 05:52:23.870507 : Epoch  3, Batch    559, Loss  1.210004, Average Loss  1.202158, Time  0.440180
2021-09-27 05:52:29.820841 : Epoch  3, Batch    560, Loss  1.205143, Average Loss  1.202138, Time  0.450350
2021-09-27 05:52:35.761790 : Epoch  3, Batch    561, Loss  1.211627, Average Loss  1.202236, Time  0.438724
2021-09-27 05:52:41.712819 : Epoch  3, Batch    562, Loss  1.207468, Average Loss  1.202219, Time  0.438717
2021-09-27 05:52:47.655777 : Epoch  3, Batch    563, Loss  1.199664, Average Loss  1.202280, Time  0.443588
2021-09-27 05:52:53.604085 : Epoch  3, Batch    564, Loss  1.217915, Average Loss  1.202324, Time  0.439812
2021-09-27 05:52:59.542048 : Epoch  3, Batch    565, Loss  1.206992, Average Loss  1.202394, Time  0.440333
2021-09-27 05:53:05.491575 : Epoch  3, Batch    566, Loss  1.206194, Average Loss  1.202435, Time  0.439279
2021-09-27 05:53:11.439888 : Epoch  3, Batch    567, Loss  1.206130, Average Loss  1.202411, Time  0.439322
2021-09-27 05:53:17.400824 : Epoch  3, Batch    568, Loss  1.179841, Average Loss  1.202344, Time  0.450713
2021-09-27 05:53:23.336871 : Epoch  3, Batch    569, Loss  1.190149, Average Loss  1.202354, Time  0.439064
2021-09-27 05:53:29.281691 : Epoch  3, Batch    570, Loss  1.203251, Average Loss  1.202388, Time  0.441481
2021-09-27 05:53:35.218201 : Epoch  3, Batch    571, Loss  1.190449, Average Loss  1.202400, Time  0.438448
2021-09-27 05:53:41.160754 : Epoch  3, Batch    572, Loss  1.196053, Average Loss  1.202353, Time  0.440483
2021-09-27 05:53:47.100136 : Epoch  3, Batch    573, Loss  1.201268, Average Loss  1.202338, Time  0.439496
2021-09-27 05:53:53.029445 : Epoch  3, Batch    574, Loss  1.192201, Average Loss  1.202247, Time  0.439371
2021-09-27 05:53:58.957573 : Epoch  3, Batch    575, Loss  1.205250, Average Loss  1.202241, Time  0.441325
2021-09-27 05:54:04.895029 : Epoch  3, Batch    576, Loss  1.198139, Average Loss  1.202160, Time  0.449290
2021-09-27 05:54:10.831482 : Epoch  3, Batch    577, Loss  1.192433, Average Loss  1.202088, Time  0.438270
2021-09-27 05:54:16.766691 : Epoch  3, Batch    578, Loss  1.191485, Average Loss  1.202038, Time  0.440564
2021-09-27 05:54:22.709719 : Epoch  3, Batch    579, Loss  1.198815, Average Loss  1.202029, Time  0.440516
2021-09-27 05:54:28.651548 : Epoch  3, Batch    580, Loss  1.201019, Average Loss  1.201971, Time  0.440708
2021-09-27 05:54:34.598777 : Epoch  3, Batch    581, Loss  1.198484, Average Loss  1.201992, Time  0.439107
2021-09-27 05:54:40.541597 : Epoch  3, Batch    582, Loss  1.188139, Average Loss  1.201884, Time  0.440686
2021-09-27 05:54:46.481561 : Epoch  3, Batch    583, Loss  1.185260, Average Loss  1.201887, Time  0.438411
2021-09-27 05:54:52.431711 : Epoch  3, Batch    584, Loss  1.197299, Average Loss  1.201840, Time  0.454223
2021-09-27 05:54:58.385442 : Epoch  3, Batch    585, Loss  1.191849, Average Loss  1.201783, Time  0.438706
2021-09-27 05:55:04.333803 : Epoch  3, Batch    586, Loss  1.196036, Average Loss  1.201712, Time  0.439010
2021-09-27 05:55:10.285813 : Epoch  3, Batch    587, Loss  1.205658, Average Loss  1.201728, Time  0.442204
2021-09-27 05:55:16.231625 : Epoch  3, Batch    588, Loss  1.195290, Average Loss  1.201727, Time  0.440162
2021-09-27 05:55:22.179742 : Epoch  3, Batch    589, Loss  1.212281, Average Loss  1.201777, Time  0.438728
2021-09-27 05:55:28.138938 : Epoch  3, Batch    590, Loss  1.198260, Average Loss  1.201729, Time  0.439698
2021-09-27 05:55:34.094084 : Epoch  3, Batch    591, Loss  1.207566, Average Loss  1.201777, Time  0.452141
2021-09-27 05:55:40.037603 : Epoch  3, Batch    592, Loss  1.197560, Average Loss  1.201851, Time  0.438654
2021-09-27 05:55:45.997230 : Epoch  3, Batch    593, Loss  1.186817, Average Loss  1.201833, Time  0.444579
2021-09-27 05:55:51.961546 : Epoch  3, Batch    594, Loss  1.191824, Average Loss  1.201776, Time  0.440677
2021-09-27 05:55:57.895524 : Epoch  3, Batch    595, Loss  1.210542, Average Loss  1.201830, Time  0.438463
2021-09-27 05:56:03.839815 : Epoch  3, Batch    596, Loss  1.214109, Average Loss  1.201880, Time  0.438692
2021-09-27 05:56:09.811525 : Epoch  3, Batch    597, Loss  1.212384, Average Loss  1.201973, Time  0.441655
2021-09-27 05:56:15.763574 : Epoch  3, Batch    598, Loss  1.193551, Average Loss  1.201876, Time  0.439603
2021-09-27 05:56:21.717710 : Epoch  3, Batch    599, Loss  1.192703, Average Loss  1.201867, Time  0.450696
2021-09-27 05:56:27.656830 : Epoch  3, Batch    600, Loss  1.200987, Average Loss  1.201876, Time  0.439805
2021-09-27 05:56:33.606837 : Epoch  3, Batch    601, Loss  1.208166, Average Loss  1.201904, Time  0.439701
2021-09-27 05:56:39.544792 : Epoch  3, Batch    602, Loss  1.191533, Average Loss  1.201849, Time  0.441516
2021-09-27 05:56:45.496808 : Epoch  3, Batch    603, Loss  1.220289, Average Loss  1.201902, Time  0.440310
2021-09-27 05:56:51.472657 : Epoch  3, Batch    604, Loss  1.204421, Average Loss  1.201892, Time  0.439363
2021-09-27 05:56:57.420841 : Epoch  3, Batch    605, Loss  1.184020, Average Loss  1.201774, Time  0.438837
2021-09-27 05:57:03.347272 : Epoch  3, Batch    606, Loss  1.195418, Average Loss  1.201764, Time  0.439793
2021-09-27 05:57:09.312742 : Epoch  3, Batch    607, Loss  1.211896, Average Loss  1.201821, Time  0.453276
2021-09-27 05:57:15.254323 : Epoch  3, Batch    608, Loss  1.201638, Average Loss  1.201855, Time  0.439808
2021-09-27 05:57:21.207097 : Epoch  3, Batch    609, Loss  1.197700, Average Loss  1.201879, Time  0.440439
2021-09-27 05:57:27.165918 : Epoch  3, Batch    610, Loss  1.195124, Average Loss  1.201753, Time  0.441293
2021-09-27 05:57:33.109616 : Epoch  3, Batch    611, Loss  1.202850, Average Loss  1.201696, Time  0.439295
2021-09-27 05:57:39.055663 : Epoch  3, Batch    612, Loss  1.210241, Average Loss  1.201693, Time  0.442596
2021-09-27 05:57:45.002383 : Epoch  3, Batch    613, Loss  1.199744, Average Loss  1.201658, Time  0.439659
2021-09-27 05:57:50.962768 : Epoch  3, Batch    614, Loss  1.202076, Average Loss  1.201693, Time  0.453116
2021-09-27 05:57:56.910858 : Epoch  3, Batch    615, Loss  1.190183, Average Loss  1.201583, Time  0.439447
2021-09-27 05:58:02.845241 : Epoch  3, Batch    616, Loss  1.190325, Average Loss  1.201446, Time  0.438362
2021-09-27 05:58:08.793659 : Epoch  3, Batch    617, Loss  1.209660, Average Loss  1.201412, Time  0.439046
2021-09-27 05:58:14.753739 : Epoch  3, Batch    618, Loss  1.195053, Average Loss  1.201398, Time  0.439539
2021-09-27 05:58:20.699738 : Epoch  3, Batch    619, Loss  1.191948, Average Loss  1.201358, Time  0.440364
2021-09-27 05:58:26.651104 : Epoch  3, Batch    620, Loss  1.201819, Average Loss  1.201303, Time  0.441387
2021-09-27 05:58:32.592846 : Epoch  3, Batch    621, Loss  1.193836, Average Loss  1.201273, Time  0.440058
2021-09-27 05:58:38.548931 : Epoch  3, Batch    622, Loss  1.198488, Average Loss  1.201185, Time  0.454126
2021-09-27 05:58:44.501229 : Epoch  3, Batch    623, Loss  1.210545, Average Loss  1.201350, Time  0.441303
2021-09-27 05:58:50.434738 : Epoch  3, Batch    624, Loss  1.200268, Average Loss  1.201353, Time  0.440571
2021-09-27 05:58:56.375712 : Epoch  3, Batch    625, Loss  1.199503, Average Loss  1.201321, Time  0.440329
2021-09-27 05:59:02.324611 : Epoch  3, Batch    626, Loss  1.214494, Average Loss  1.201449, Time  0.442398
2021-09-27 05:59:08.269862 : Epoch  3, Batch    627, Loss  1.208078, Average Loss  1.201392, Time  0.441738
2021-09-27 05:59:14.213769 : Epoch  3, Batch    628, Loss  1.206324, Average Loss  1.201456, Time  0.439536
2021-09-27 05:59:20.153740 : Epoch  3, Batch    629, Loss  1.215614, Average Loss  1.201560, Time  0.439413
2021-09-27 05:59:26.105211 : Epoch  3, Batch    630, Loss  1.205022, Average Loss  1.201656, Time  0.445742
2021-09-27 05:59:32.048688 : Epoch  3, Batch    631, Loss  1.220600, Average Loss  1.201746, Time  0.440060
2021-09-27 05:59:37.989810 : Epoch  3, Batch    632, Loss  1.177844, Average Loss  1.201637, Time  0.441770
2021-09-27 05:59:43.929502 : Epoch  3, Batch    633, Loss  1.213998, Average Loss  1.201710, Time  0.439429
2021-09-27 05:59:49.884540 : Epoch  3, Batch    634, Loss  1.197915, Average Loss  1.201711, Time  0.439172
2021-09-27 05:59:55.820523 : Epoch  3, Batch    635, Loss  1.207134, Average Loss  1.201684, Time  0.439111
2021-09-27 06:00:01.753509 : Epoch  3, Batch    636, Loss  1.198251, Average Loss  1.201720, Time  0.439138
2021-09-27 06:00:07.726816 : Epoch  3, Batch    637, Loss  1.181572, Average Loss  1.201743, Time  0.439812
2021-09-27 06:00:12.090794 : Epoch  3, Batch    638, Loss  1.201367, Average Loss  1.201819, Time  0.350963
2021-09-27 06:00:18.035848 : Epoch  3, Batch    639, Loss  1.197935, Average Loss  1.201724, Time  0.441260
2021-09-27 06:00:23.979938 : Epoch  3, Batch    640, Loss  1.207921, Average Loss  1.201797, Time  0.441136
2021-09-27 06:00:29.940796 : Epoch  3, Batch    641, Loss  1.205970, Average Loss  1.201827, Time  0.439493
2021-09-27 06:00:35.892819 : Epoch  3, Batch    642, Loss  1.203496, Average Loss  1.201887, Time  0.439964
2021-09-27 06:00:41.854935 : Epoch  3, Batch    643, Loss  1.187098, Average Loss  1.201857, Time  0.441053
2021-09-27 06:00:47.810180 : Epoch  3, Batch    644, Loss  1.203317, Average Loss  1.201913, Time  0.441420
2021-09-27 06:05:23.895727 : CheckPoint: Validation Loss  0.00020740, Best Loss  0.00020394
2021-09-27 06:05:29.809123 : Epoch  3, Batch    645, Loss  1.203898, Average Loss  1.201912, Time  0.439387
2021-09-27 06:05:35.793616 : Epoch  3, Batch    646, Loss  1.200113, Average Loss  1.201938, Time  0.457269
2021-09-27 06:05:41.748622 : Epoch  3, Batch    647, Loss  1.197350, Average Loss  1.201900, Time  0.441662
2021-09-27 06:05:47.716306 : Epoch  3, Batch    648, Loss  1.196372, Average Loss  1.201862, Time  0.438880
2021-09-27 06:05:53.674455 : Epoch  3, Batch    649, Loss  1.204908, Average Loss  1.201894, Time  0.439075
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2021-09-27 06:06:05.592480 : Epoch  3, Batch    651, Loss  1.215298, Average Loss  1.201694, Time  0.439027
2021-09-27 06:06:11.563648 : Epoch  3, Batch    652, Loss  1.205940, Average Loss  1.201685, Time  0.443269
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2021-09-27 06:06:23.486673 : Epoch  3, Batch    654, Loss  1.214164, Average Loss  1.201815, Time  0.453654
2021-09-27 06:06:29.464401 : Epoch  3, Batch    655, Loss  1.193225, Average Loss  1.201799, Time  0.440684
2021-09-27 06:06:35.449275 : Epoch  3, Batch    656, Loss  1.192231, Average Loss  1.201715, Time  0.447349
2021-09-27 06:06:41.426784 : Epoch  3, Batch    657, Loss  1.199956, Average Loss  1.201740, Time  0.442643
2021-09-27 06:06:47.413735 : Epoch  3, Batch    658, Loss  1.200215, Average Loss  1.201667, Time  0.439952
2021-09-27 06:06:53.387537 : Epoch  3, Batch    659, Loss  1.197742, Average Loss  1.201595, Time  0.439101
2021-09-27 06:06:59.351420 : Epoch  3, Batch    660, Loss  1.199735, Average Loss  1.201587, Time  0.443121
2021-09-27 06:07:05.342753 : Epoch  3, Batch    661, Loss  1.192517, Average Loss  1.201547, Time  0.447780
2021-09-27 06:07:11.314913 : Epoch  3, Batch    662, Loss  1.200172, Average Loss  1.201535, Time  0.441341
2021-09-27 06:07:17.275803 : Epoch  3, Batch    663, Loss  1.200819, Average Loss  1.201536, Time  0.441422
2021-09-27 06:07:23.242789 : Epoch  3, Batch    664, Loss  1.207806, Average Loss  1.201598, Time  0.439280
2021-09-27 06:07:29.216765 : Epoch  3, Batch    665, Loss  1.225632, Average Loss  1.201694, Time  0.442814
2021-09-27 06:07:35.185050 : Epoch  3, Batch    666, Loss  1.207037, Average Loss  1.201682, Time  0.441903
2021-09-27 06:07:41.148801 : Epoch  3, Batch    667, Loss  1.212403, Average Loss  1.201702, Time  0.439333
2021-09-27 06:07:47.110272 : Epoch  3, Batch    668, Loss  1.189480, Average Loss  1.201638, Time  0.439690
2021-09-27 06:07:53.086734 : Epoch  3, Batch    669, Loss  1.195909, Average Loss  1.201681, Time  0.450778
2021-09-27 06:07:59.061608 : Epoch  3, Batch    670, Loss  1.197208, Average Loss  1.201646, Time  0.440643
2021-09-27 06:08:05.026817 : Epoch  3, Batch    671, Loss  1.193442, Average Loss  1.201554, Time  0.439016
2021-09-27 06:08:11.011989 : Epoch  3, Batch    672, Loss  1.209949, Average Loss  1.201621, Time  0.438713
2021-09-27 06:08:16.976802 : Epoch  3, Batch    673, Loss  1.192534, Average Loss  1.201486, Time  0.439124
2021-09-27 06:08:22.952240 : Epoch  3, Batch    674, Loss  1.201074, Average Loss  1.201495, Time  0.439715
2021-09-27 06:08:28.917436 : Epoch  3, Batch    675, Loss  1.186469, Average Loss  1.201400, Time  0.439688
2021-09-27 06:08:34.888821 : Epoch  3, Batch    676, Loss  1.202018, Average Loss  1.201449, Time  0.441990
2021-09-27 06:08:40.860056 : Epoch  3, Batch    677, Loss  1.205787, Average Loss  1.201374, Time  0.454163
2021-09-27 06:08:46.816528 : Epoch  3, Batch    678, Loss  1.200575, Average Loss  1.201411, Time  0.441333
2021-09-27 06:08:52.784186 : Epoch  3, Batch    679, Loss  1.204838, Average Loss  1.201446, Time  0.438594
2021-09-27 06:08:58.750026 : Epoch  3, Batch    680, Loss  1.201617, Average Loss  1.201474, Time  0.438541
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2021-09-27 06:09:16.646732 : Epoch  3, Batch    683, Loss  1.206061, Average Loss  1.201434, Time  0.438672
2021-09-27 06:09:22.598285 : Epoch  3, Batch    684, Loss  1.204368, Average Loss  1.201426, Time  0.440680
2021-09-27 06:09:28.558996 : Epoch  3, Batch    685, Loss  1.206088, Average Loss  1.201474, Time  0.449274
2021-09-27 06:09:34.524458 : Epoch  3, Batch    686, Loss  1.209945, Average Loss  1.201542, Time  0.439092
2021-09-27 06:09:40.490457 : Epoch  3, Batch    687, Loss  1.215333, Average Loss  1.201573, Time  0.442678
2021-09-27 06:09:46.456319 : Epoch  3, Batch    688, Loss  1.190893, Average Loss  1.201534, Time  0.442066
2021-09-27 06:09:52.421281 : Epoch  3, Batch    689, Loss  1.203250, Average Loss  1.201578, Time  0.438873
2021-09-27 06:09:58.378912 : Epoch  3, Batch    690, Loss  1.176575, Average Loss  1.201452, Time  0.438879
2021-09-27 06:10:04.344220 : Epoch  3, Batch    691, Loss  1.196281, Average Loss  1.201425, Time  0.438547
2021-09-27 06:10:10.315949 : Epoch  3, Batch    692, Loss  1.198037, Average Loss  1.201340, Time  0.449092
2021-09-27 06:10:16.292845 : Epoch  3, Batch    693, Loss  1.213543, Average Loss  1.201389, Time  0.442979
2021-09-27 06:10:22.252316 : Epoch  3, Batch    694, Loss  1.199761, Average Loss  1.201440, Time  0.439691
2021-09-27 06:10:28.218959 : Epoch  3, Batch    695, Loss  1.185731, Average Loss  1.201369, Time  0.442053
2021-09-27 06:10:34.186836 : Epoch  3, Batch    696, Loss  1.188938, Average Loss  1.201304, Time  0.441598
2021-09-27 06:10:40.151266 : Epoch  3, Batch    697, Loss  1.168588, Average Loss  1.201151, Time  0.438894
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2021-09-27 06:10:52.091911 : Epoch  3, Batch    699, Loss  1.204216, Average Loss  1.201189, Time  0.440286
2021-09-27 06:10:58.072785 : Epoch  3, Batch    700, Loss  1.185319, Average Loss  1.201156, Time  0.453091
2021-09-27 06:11:04.056647 : Epoch  3, Batch    701, Loss  1.205230, Average Loss  1.201193, Time  0.440219
2021-09-27 06:11:10.030188 : Epoch  3, Batch    702, Loss  1.198948, Average Loss  1.201203, Time  0.441046
2021-09-27 06:11:15.997112 : Epoch  3, Batch    703, Loss  1.203836, Average Loss  1.201208, Time  0.438945
2021-09-27 06:11:21.982599 : Epoch  3, Batch    704, Loss  1.209749, Average Loss  1.201230, Time  0.442075
2021-09-27 06:11:27.958778 : Epoch  3, Batch    705, Loss  1.199627, Average Loss  1.201307, Time  0.438752
2021-09-27 06:11:33.922521 : Epoch  3, Batch    706, Loss  1.201854, Average Loss  1.201223, Time  0.440380
2021-09-27 06:11:39.884735 : Epoch  3, Batch    707, Loss  1.184102, Average Loss  1.201098, Time  0.440134
2021-09-27 06:11:45.860810 : Epoch  3, Batch    708, Loss  1.209203, Average Loss  1.201186, Time  0.454944
2021-09-27 06:11:51.819772 : Epoch  3, Batch    709, Loss  1.213162, Average Loss  1.201147, Time  0.438692
2021-09-27 06:11:57.782395 : Epoch  3, Batch    710, Loss  1.198783, Average Loss  1.201027, Time  0.438986
2021-09-27 06:12:03.752393 : Epoch  3, Batch    711, Loss  1.210845, Average Loss  1.201064, Time  0.439568
2021-09-27 06:12:09.721548 : Epoch  3, Batch    712, Loss  1.204415, Average Loss  1.201009, Time  0.439396
2021-09-27 06:12:15.721150 : Epoch  3, Batch    713, Loss  1.191795, Average Loss  1.200959, Time  0.441013
2021-09-27 06:12:21.697550 : Epoch  3, Batch    714, Loss  1.205554, Average Loss  1.200986, Time  0.439052
2021-09-27 06:12:27.664426 : Epoch  3, Batch    715, Loss  1.195007, Average Loss  1.200902, Time  0.444424
2021-09-27 06:12:33.601456 : Epoch  3, Batch    716, Loss  1.209331, Average Loss  1.200943, Time  0.454583
2021-09-27 06:12:39.322728 : Epoch  3, Batch    717, Loss  1.189842, Average Loss  1.200875, Time  0.439213
2021-09-27 06:12:45.065559 : Epoch  3, Batch    718, Loss  1.199226, Average Loss  1.200889, Time  0.438937
2021-09-27 06:12:50.650281 : Epoch  3, Batch    719, Loss  1.199447, Average Loss  1.200889, Time  0.437836
2021-09-27 06:12:56.177614 : Epoch  3, Batch    720, Loss  1.202909, Average Loss  1.200914, Time  0.436920
2021-09-27 06:13:01.642830 : Epoch  3, Batch    721, Loss  1.185512, Average Loss  1.200766, Time  0.438981
2021-09-27 06:13:07.141760 : Epoch  3, Batch    722, Loss  1.190703, Average Loss  1.200674, Time  0.436237
2021-09-27 06:13:12.469961 : Epoch  3, Batch    723, Loss  1.205559, Average Loss  1.200791, Time  0.435091
2021-09-27 06:13:17.772157 : Epoch  3, Batch    724, Loss  1.199073, Average Loss  1.200825, Time  0.435590
2021-09-27 06:13:23.105352 : Epoch  3, Batch    725, Loss  1.203142, Average Loss  1.200784, Time  0.449297
2021-09-27 06:13:28.446512 : Epoch  3, Batch    726, Loss  1.209009, Average Loss  1.200839, Time  0.436414
2021-09-27 06:13:33.763625 : Epoch  3, Batch    727, Loss  1.214460, Average Loss  1.200877, Time  0.435283
2021-09-27 06:13:39.042918 : Epoch  3, Batch    728, Loss  1.194658, Average Loss  1.200783, Time  0.434680
2021-09-27 06:13:44.328365 : Epoch  3, Batch    729, Loss  1.197445, Average Loss  1.200705, Time  0.435161
2021-09-27 06:13:49.658058 : Epoch  3, Batch    730, Loss  1.200950, Average Loss  1.200742, Time  0.434834
2021-09-27 06:13:54.974912 : Epoch  3, Batch    731, Loss  1.197860, Average Loss  1.200687, Time  0.435550
2021-09-27 06:14:00.280644 : Epoch  3, Batch    732, Loss  1.178575, Average Loss  1.200513, Time  0.434911
2021-09-27 06:14:05.553996 : Epoch  3, Batch    733, Loss  1.205253, Average Loss  1.200601, Time  0.435633
2021-09-27 06:14:10.893066 : Epoch  3, Batch    734, Loss  1.195617, Average Loss  1.200607, Time  0.449892
2021-09-27 06:14:16.241415 : Epoch  3, Batch    735, Loss  1.188870, Average Loss  1.200544, Time  0.435885
2021-09-27 06:14:21.946867 : Epoch  3, Batch    736, Loss  1.210473, Average Loss  1.200522, Time  0.440222
2021-09-27 06:14:27.641943 : Epoch  3, Batch    737, Loss  1.204981, Average Loss  1.200506, Time  0.436616
2021-09-27 06:14:33.263812 : Epoch  3, Batch    738, Loss  1.188055, Average Loss  1.200402, Time  0.436275
2021-09-27 06:14:38.860884 : Epoch  3, Batch    739, Loss  1.196963, Average Loss  1.200424, Time  0.437229
2021-09-27 06:14:44.348708 : Epoch  3, Batch    740, Loss  1.209000, Average Loss  1.200504, Time  0.436230
2021-09-27 06:14:49.732550 : Epoch  3, Batch    741, Loss  1.203098, Average Loss  1.200519, Time  0.438269
2021-09-27 06:14:55.120326 : Epoch  3, Batch    742, Loss  1.210130, Average Loss  1.200560, Time  0.435464
2021-09-27 06:15:00.453775 : Epoch  3, Batch    743, Loss  1.209751, Average Loss  1.200540, Time  0.444221
2021-09-27 06:15:05.779214 : Epoch  3, Batch    744, Loss  1.206598, Average Loss  1.200538, Time  0.434911
2021-09-27 06:19:22.542064 : CheckPoint: Validation Loss  0.00020886, Best Loss  0.00020394
2021-09-27 06:19:28.039050 : Epoch  3, Batch    745, Loss  1.210908, Average Loss  1.200582, Time  0.436787
2021-09-27 06:19:33.658551 : Epoch  3, Batch    746, Loss  1.198761, Average Loss  1.200535, Time  0.438361
2021-09-27 06:19:39.445202 : Epoch  3, Batch    747, Loss  1.199897, Average Loss  1.200547, Time  0.453655
2021-09-27 06:19:45.112045 : Epoch  3, Batch    748, Loss  1.192112, Average Loss  1.200499, Time  0.439707
2021-09-27 06:19:50.683935 : Epoch  3, Batch    749, Loss  1.205761, Average Loss  1.200607, Time  0.438976
2021-09-27 06:19:56.213867 : Epoch  3, Batch    750, Loss  1.200221, Average Loss  1.200567, Time  0.439117
2021-09-27 06:20:01.974708 : Epoch  3, Batch    751, Loss  1.201464, Average Loss  1.200566, Time  0.437449
2021-09-27 06:20:07.518461 : Epoch  3, Batch    752, Loss  1.185299, Average Loss  1.200411, Time  0.437690
2021-09-27 06:20:13.154485 : Epoch  3, Batch    753, Loss  1.204081, Average Loss  1.200458, Time  0.437185
2021-09-27 06:20:18.625447 : Epoch  3, Batch    754, Loss  1.191340, Average Loss  1.200361, Time  0.437013
2021-09-27 06:20:24.285084 : Epoch  3, Batch    755, Loss  1.211720, Average Loss  1.200384, Time  0.438318
2021-09-27 06:20:29.911244 : Epoch  3, Batch    756, Loss  1.213502, Average Loss  1.200495, Time  0.454345
2021-09-27 06:20:35.504735 : Epoch  3, Batch    757, Loss  1.199822, Average Loss  1.200561, Time  0.437393
2021-09-27 06:20:41.135386 : Epoch  3, Batch    758, Loss  1.202000, Average Loss  1.200547, Time  0.438559
2021-09-27 06:20:46.804927 : Epoch  3, Batch    759, Loss  1.186127, Average Loss  1.200427, Time  0.439394
2021-09-27 06:20:52.489029 : Epoch  3, Batch    760, Loss  1.197781, Average Loss  1.200391, Time  0.439268
2021-09-27 06:20:58.247328 : Epoch  3, Batch    761, Loss  1.215832, Average Loss  1.200412, Time  0.436864
2021-09-27 06:21:03.962522 : Epoch  3, Batch    762, Loss  1.189215, Average Loss  1.200320, Time  0.438730
2021-09-27 06:21:09.702780 : Epoch  3, Batch    763, Loss  1.214931, Average Loss  1.200397, Time  0.439100
2021-09-27 06:21:15.411896 : Epoch  3, Batch    764, Loss  1.200157, Average Loss  1.200308, Time  0.450613
2021-09-27 06:21:21.012922 : Epoch  3, Batch    765, Loss  1.181861, Average Loss  1.200182, Time  0.437767
2021-09-27 06:21:26.734267 : Epoch  3, Batch    766, Loss  1.212528, Average Loss  1.200214, Time  0.436841
2021-09-27 06:21:32.240762 : Epoch  3, Batch    767, Loss  1.200550, Average Loss  1.200186, Time  0.438953
2021-09-27 06:21:37.927811 : Epoch  3, Batch    768, Loss  1.197320, Average Loss  1.200273, Time  0.438517
2021-09-27 06:21:43.684779 : Epoch  3, Batch    769, Loss  1.209230, Average Loss  1.200369, Time  0.438697
2021-09-27 06:21:49.390650 : Epoch  3, Batch    770, Loss  1.197680, Average Loss  1.200341, Time  0.442085
2021-09-27 06:21:55.160872 : Epoch  3, Batch    771, Loss  1.206592, Average Loss  1.200422, Time  0.438857
2021-09-27 06:22:00.881654 : Epoch  3, Batch    772, Loss  1.204432, Average Loss  1.200464, Time  0.450027
2021-09-27 06:22:06.551786 : Epoch  3, Batch    773, Loss  1.206737, Average Loss  1.200491, Time  0.437650
2021-09-27 06:22:12.106268 : Epoch  3, Batch    774, Loss  1.214551, Average Loss  1.200603, Time  0.437320
2021-09-27 06:22:17.879090 : Epoch  3, Batch    775, Loss  1.209584, Average Loss  1.200624, Time  0.439520
2021-09-27 06:22:23.647986 : Epoch  3, Batch    776, Loss  1.199249, Average Loss  1.200630, Time  0.439719
2021-09-27 06:22:29.281131 : Epoch  3, Batch    777, Loss  1.198092, Average Loss  1.200658, Time  0.438670
2021-09-27 06:22:35.040919 : Epoch  3, Batch    778, Loss  1.201115, Average Loss  1.200706, Time  0.438843
2021-09-27 06:22:40.578042 : Epoch  3, Batch    779, Loss  1.202167, Average Loss  1.200723, Time  0.438401
2021-09-27 06:22:46.237901 : Epoch  3, Batch    780, Loss  1.187321, Average Loss  1.200655, Time  0.446995
2021-09-27 06:22:51.857410 : Epoch  3, Batch    781, Loss  1.180267, Average Loss  1.200564, Time  0.437831
2021-09-27 06:22:57.466658 : Epoch  3, Batch    782, Loss  1.210872, Average Loss  1.200677, Time  0.437905
2021-09-27 06:23:02.973485 : Epoch  3, Batch    783, Loss  1.189999, Average Loss  1.200701, Time  0.436732
2021-09-27 06:23:08.402367 : Epoch  3, Batch    784, Loss  1.194947, Average Loss  1.200689, Time  0.438969
2021-09-27 06:23:14.069392 : Epoch  3, Batch    785, Loss  1.181347, Average Loss  1.200637, Time  0.439546
2021-09-27 06:23:19.671543 : Epoch  3, Batch    786, Loss  1.208226, Average Loss  1.200698, Time  0.438950
2021-09-27 06:23:25.388345 : Epoch  3, Batch    787, Loss  1.182319, Average Loss  1.200581, Time  0.437981
2021-09-27 06:23:31.150579 : Epoch  3, Batch    788, Loss  1.213773, Average Loss  1.200673, Time  0.448502
2021-09-27 06:23:36.792425 : Epoch  3, Batch    789, Loss  1.190566, Average Loss  1.200565, Time  0.438808
2021-09-27 06:23:42.540158 : Epoch  3, Batch    790, Loss  1.202813, Average Loss  1.200587, Time  0.436173
2021-09-27 06:23:48.214491 : Epoch  3, Batch    791, Loss  1.191544, Average Loss  1.200507, Time  0.438720
2021-09-27 06:23:53.943965 : Epoch  3, Batch    792, Loss  1.193746, Average Loss  1.200488, Time  0.438969
2021-09-27 06:23:59.636297 : Epoch  3, Batch    793, Loss  1.191650, Average Loss  1.200512, Time  0.439270
2021-09-27 06:24:05.402250 : Epoch  3, Batch    794, Loss  1.206648, Average Loss  1.200587, Time  0.440212
2021-09-27 06:24:10.984401 : Epoch  3, Batch    795, Loss  1.205238, Average Loss  1.200560, Time  0.439806
2021-09-27 06:24:16.573884 : Epoch  3, Batch    796, Loss  1.192581, Average Loss  1.200452, Time  0.448852
2021-09-27 06:24:22.079098 : Epoch  3, Batch    797, Loss  1.201619, Average Loss  1.200399, Time  0.438892
2021-09-27 06:24:27.765352 : Epoch  3, Batch    798, Loss  1.183398, Average Loss  1.200348, Time  0.439347
2021-09-27 06:24:33.407241 : Epoch  3, Batch    799, Loss  1.205612, Average Loss  1.200412, Time  0.436702
2021-09-27 06:24:38.882663 : Epoch  3, Batch    800, Loss  1.190417, Average Loss  1.200360, Time  0.438576
2021-09-27 06:24:44.507710 : Epoch  3, Batch    801, Loss  1.199682, Average Loss  1.200317, Time  0.436950
2021-09-27 06:24:50.267478 : Epoch  3, Batch    802, Loss  1.205987, Average Loss  1.200389, Time  0.439755
2021-09-27 06:24:56.027387 : Epoch  3, Batch    803, Loss  1.189955, Average Loss  1.200238, Time  0.438169
2021-09-27 06:25:01.760740 : Epoch  3, Batch    804, Loss  1.199793, Average Loss  1.200215, Time  0.444077
2021-09-27 06:25:07.389516 : Epoch  3, Batch    805, Loss  1.205955, Average Loss  1.200324, Time  0.438190
2021-09-27 06:25:12.920973 : Epoch  3, Batch    806, Loss  1.185149, Average Loss  1.200273, Time  0.437384
2021-09-27 06:25:18.529596 : Epoch  3, Batch    807, Loss  1.184255, Average Loss  1.200135, Time  0.440354
2021-09-27 06:25:24.292470 : Epoch  3, Batch    808, Loss  1.200924, Average Loss  1.200131, Time  0.438688
2021-09-27 06:25:30.051352 : Epoch  3, Batch    809, Loss  1.186326, Average Loss  1.200074, Time  0.438293
2021-09-27 06:25:35.751187 : Epoch  3, Batch    810, Loss  1.207339, Average Loss  1.200135, Time  0.438321
2021-09-27 06:25:41.385295 : Epoch  3, Batch    811, Loss  1.207915, Average Loss  1.200161, Time  0.437130
2021-09-27 06:25:47.177037 : Epoch  3, Batch    812, Loss  1.195833, Average Loss  1.200089, Time  0.450539
2021-09-27 06:25:52.897800 : Epoch  3, Batch    813, Loss  1.212470, Average Loss  1.200152, Time  0.438353
2021-09-27 06:25:58.499043 : Epoch  3, Batch    814, Loss  1.210189, Average Loss  1.200193, Time  0.437127
2021-09-27 06:26:04.022595 : Epoch  3, Batch    815, Loss  1.196704, Average Loss  1.200225, Time  0.438583
2021-09-27 06:26:09.810138 : Epoch  3, Batch    816, Loss  1.188828, Average Loss  1.200218, Time  0.439889
2021-09-27 06:26:15.492866 : Epoch  3, Batch    817, Loss  1.214735, Average Loss  1.200243, Time  0.439029
2021-09-27 06:26:21.227849 : Epoch  3, Batch    818, Loss  1.200722, Average Loss  1.200272, Time  0.439368
2021-09-27 06:26:26.972835 : Epoch  3, Batch    819, Loss  1.203021, Average Loss  1.200327, Time  0.438297
2021-09-27 06:26:32.671854 : Epoch  3, Batch    820, Loss  1.213306, Average Loss  1.200384, Time  0.447136
2021-09-27 06:26:38.222532 : Epoch  3, Batch    821, Loss  1.201973, Average Loss  1.200425, Time  0.437196
2021-09-27 06:26:43.976507 : Epoch  3, Batch    822, Loss  1.188099, Average Loss  1.200373, Time  0.440797
2021-09-27 06:26:49.683125 : Epoch  3, Batch    823, Loss  1.203480, Average Loss  1.200338, Time  0.439085
2021-09-27 06:26:55.287111 : Epoch  3, Batch    824, Loss  1.212532, Average Loss  1.200399, Time  0.437288
2021-09-27 06:27:00.890374 : Epoch  3, Batch    825, Loss  1.192872, Average Loss  1.200366, Time  0.438416
2021-09-27 06:27:06.412469 : Epoch  3, Batch    826, Loss  1.204304, Average Loss  1.200315, Time  0.439872
2021-09-27 06:27:11.962831 : Epoch  3, Batch    827, Loss  1.210732, Average Loss  1.200328, Time  0.437296
2021-09-27 06:27:17.703419 : Epoch  3, Batch    828, Loss  1.205594, Average Loss  1.200325, Time  0.454203
2021-09-27 06:27:23.432945 : Epoch  3, Batch    829, Loss  1.187348, Average Loss  1.200183, Time  0.435851
2021-09-27 06:27:29.013639 : Epoch  3, Batch    830, Loss  1.200424, Average Loss  1.200160, Time  0.437442
2021-09-27 06:27:34.628988 : Epoch  3, Batch    831, Loss  1.197009, Average Loss  1.200042, Time  0.438337
2021-09-27 06:27:40.313169 : Epoch  3, Batch    832, Loss  1.213205, Average Loss  1.200219, Time  0.438168
2021-09-27 06:27:45.986864 : Epoch  3, Batch    833, Loss  1.210986, Average Loss  1.200204, Time  0.438024
2021-09-27 06:27:51.481239 : Epoch  3, Batch    834, Loss  1.198426, Average Loss  1.200207, Time  0.437072
2021-09-27 06:27:56.969283 : Epoch  3, Batch    835, Loss  1.186908, Average Loss  1.200106, Time  0.436895
2021-09-27 06:28:02.375967 : Epoch  3, Batch    836, Loss  1.205707, Average Loss  1.200143, Time  0.447294
2021-09-27 06:28:07.745864 : Epoch  3, Batch    837, Loss  1.178667, Average Loss  1.200128, Time  0.437860
2021-09-27 06:28:13.318146 : Epoch  3, Batch    838, Loss  1.202035, Average Loss  1.200132, Time  0.438855
2021-09-27 06:28:18.888126 : Epoch  3, Batch    839, Loss  1.199647, Average Loss  1.200140, Time  0.436020
2021-09-27 06:28:24.358887 : Epoch  3, Batch    840, Loss  1.197070, Average Loss  1.200086, Time  0.438083
2021-09-27 06:28:30.012902 : Epoch  3, Batch    841, Loss  1.202902, Average Loss  1.200071, Time  0.437908
2021-09-27 06:28:35.526932 : Epoch  3, Batch    842, Loss  1.212148, Average Loss  1.200114, Time  0.438020
2021-09-27 06:28:41.043564 : Epoch  3, Batch    843, Loss  1.207766, Average Loss  1.200217, Time  0.437276
2021-09-27 06:28:46.500219 : Epoch  3, Batch    844, Loss  1.202204, Average Loss  1.200212, Time  0.437182
2021-09-27 06:33:06.948590 : CheckPoint: Validation Loss  0.00020784, Best Loss  0.00020394
2021-09-27 06:33:12.598001 : Epoch  3, Batch    845, Loss  1.201770, Average Loss  1.200201, Time  0.437407
2021-09-27 06:33:18.146312 : Epoch  3, Batch    846, Loss  1.199846, Average Loss  1.200200, Time  0.438204
2021-09-27 06:33:23.852497 : Epoch  3, Batch    847, Loss  1.202023, Average Loss  1.200223, Time  0.438217
2021-09-27 06:33:29.378181 : Epoch  3, Batch    848, Loss  1.203138, Average Loss  1.200257, Time  0.436362
2021-09-27 06:33:35.067017 : Epoch  3, Batch    849, Loss  1.194239, Average Loss  1.200204, Time  0.452294
2021-09-27 06:33:40.677701 : Epoch  3, Batch    850, Loss  1.194368, Average Loss  1.200245, Time  0.436866
2021-09-27 06:33:46.145117 : Epoch  3, Batch    851, Loss  1.207932, Average Loss  1.200208, Time  0.437932
2021-09-27 06:33:51.699879 : Epoch  3, Batch    852, Loss  1.213166, Average Loss  1.200244, Time  0.439323
2021-09-27 06:33:57.418569 : Epoch  3, Batch    853, Loss  1.207307, Average Loss  1.200234, Time  0.438675
2021-09-27 06:34:03.175984 : Epoch  3, Batch    854, Loss  1.191342, Average Loss  1.200120, Time  0.437958
2021-09-27 06:34:08.674410 : Epoch  3, Batch    855, Loss  1.186491, Average Loss  1.200086, Time  0.437798
2021-09-27 06:34:14.082910 : Epoch  3, Batch    856, Loss  1.203696, Average Loss  1.200143, Time  0.435683
2021-09-27 06:34:19.661757 : Epoch  3, Batch    857, Loss  1.206629, Average Loss  1.200177, Time  0.452374
2021-09-27 06:34:25.285934 : Epoch  3, Batch    858, Loss  1.196059, Average Loss  1.200156, Time  0.435147
2021-09-27 06:34:30.673105 : Epoch  3, Batch    859, Loss  1.196647, Average Loss  1.200150, Time  0.437881
2021-09-27 06:34:36.305465 : Epoch  3, Batch    860, Loss  1.184577, Average Loss  1.200075, Time  0.438658
2021-09-27 06:34:41.875864 : Epoch  3, Batch    861, Loss  1.191440, Average Loss  1.200069, Time  0.436987
2021-09-27 06:34:47.384213 : Epoch  3, Batch    862, Loss  1.192140, Average Loss  1.200029, Time  0.436263
2021-09-27 06:34:52.963989 : Epoch  3, Batch    863, Loss  1.204759, Average Loss  1.200049, Time  0.437148
2021-09-27 06:34:58.654640 : Epoch  3, Batch    864, Loss  1.193553, Average Loss  1.199977, Time  0.438574
2021-09-27 06:35:04.168877 : Epoch  3, Batch    865, Loss  1.195101, Average Loss  1.199825, Time  0.437870
2021-09-27 06:35:09.846526 : Epoch  3, Batch    866, Loss  1.186563, Average Loss  1.199722, Time  0.450047
2021-09-27 06:35:15.272855 : Epoch  3, Batch    867, Loss  1.199444, Average Loss  1.199658, Time  0.437943
2021-09-27 06:35:20.857838 : Epoch  3, Batch    868, Loss  1.175550, Average Loss  1.199588, Time  0.441121
2021-09-27 06:35:26.549289 : Epoch  3, Batch    869, Loss  1.210901, Average Loss  1.199663, Time  0.438425
2021-09-27 06:35:32.075863 : Epoch  3, Batch    870, Loss  1.203237, Average Loss  1.199693, Time  0.438307
2021-09-27 06:35:37.729864 : Epoch  3, Batch    871, Loss  1.200393, Average Loss  1.199728, Time  0.438708
2021-09-27 06:35:43.092045 : Epoch  3, Batch    872, Loss  1.181759, Average Loss  1.199587, Time  0.437172
2021-09-27 06:35:48.598704 : Epoch  3, Batch    873, Loss  1.201830, Average Loss  1.199633, Time  0.436101
2021-09-27 06:35:53.953801 : Epoch  3, Batch    874, Loss  1.192495, Average Loss  1.199590, Time  0.438350
2021-09-27 06:35:59.659820 : Epoch  3, Batch    875, Loss  1.179407, Average Loss  1.199555, Time  0.451625
2021-09-27 06:36:05.263260 : Epoch  3, Batch    876, Loss  1.189306, Average Loss  1.199492, Time  0.438874
2021-09-27 06:36:10.952130 : Epoch  3, Batch    877, Loss  1.202070, Average Loss  1.199473, Time  0.436718
2021-09-27 06:36:16.470196 : Epoch  3, Batch    878, Loss  1.204775, Average Loss  1.199494, Time  0.438077
2021-09-27 06:36:22.096301 : Epoch  3, Batch    879, Loss  1.191778, Average Loss  1.199429, Time  0.438369
2021-09-27 06:36:27.729668 : Epoch  3, Batch    880, Loss  1.192978, Average Loss  1.199385, Time  0.437203
2021-09-27 06:36:33.375902 : Epoch  3, Batch    881, Loss  1.207484, Average Loss  1.199408, Time  0.438498
2021-09-27 06:36:38.990616 : Epoch  3, Batch    882, Loss  1.186886, Average Loss  1.199349, Time  0.436649
2021-09-27 06:36:44.637900 : Epoch  3, Batch    883, Loss  1.215356, Average Loss  1.199395, Time  0.447981
2021-09-27 06:36:50.382693 : Epoch  3, Batch    884, Loss  1.195667, Average Loss  1.199352, Time  0.438431
2021-09-27 06:36:56.040727 : Epoch  3, Batch    885, Loss  1.195528, Average Loss  1.199299, Time  0.438308
2021-09-27 06:37:01.706051 : Epoch  3, Batch    886, Loss  1.212262, Average Loss  1.199310, Time  0.438082
2021-09-27 06:37:07.451579 : Epoch  3, Batch    887, Loss  1.215286, Average Loss  1.199310, Time  0.437819
2021-09-27 06:37:13.173365 : Epoch  3, Batch    888, Loss  1.202920, Average Loss  1.199370, Time  0.438291
2021-09-27 06:37:18.939295 : Epoch  3, Batch    889, Loss  1.197609, Average Loss  1.199342, Time  0.439238
2021-09-27 06:37:24.640230 : Epoch  3, Batch    890, Loss  1.214270, Average Loss  1.199531, Time  0.437163
2021-09-27 06:37:30.468707 : Epoch  3, Batch    891, Loss  1.190965, Average Loss  1.199504, Time  0.445066
2021-09-27 06:37:36.392316 : Epoch  3, Batch    892, Loss  1.204370, Average Loss  1.199536, Time  0.438476
2021-09-27 06:37:42.325961 : Epoch  3, Batch    893, Loss  1.197063, Average Loss  1.199453, Time  0.438884
2021-09-27 06:37:48.259282 : Epoch  3, Batch    894, Loss  1.185068, Average Loss  1.199380, Time  0.438675
2021-09-27 06:37:54.193023 : Epoch  3, Batch    895, Loss  1.192483, Average Loss  1.199414, Time  0.438594
2021-09-27 06:38:00.130796 : Epoch  3, Batch    896, Loss  1.221282, Average Loss  1.199575, Time  0.438430
2021-09-27 06:38:06.059684 : Epoch  3, Batch    897, Loss  1.192711, Average Loss  1.199696, Time  0.438229
2021-09-27 06:38:11.989528 : Epoch  3, Batch    898, Loss  1.198135, Average Loss  1.199654, Time  0.452513
2021-09-27 06:38:17.925786 : Epoch  3, Batch    899, Loss  1.194103, Average Loss  1.199604, Time  0.439604
2021-09-27 06:38:23.875758 : Epoch  3, Batch    900, Loss  1.198139, Average Loss  1.199668, Time  0.440507
2021-09-27 06:38:29.678780 : Epoch  3, Batch    901, Loss  1.220719, Average Loss  1.199745, Time  0.436082
2021-09-27 06:38:35.127647 : Epoch  3, Batch    902, Loss  1.186966, Average Loss  1.199685, Time  0.437855
2021-09-27 06:38:40.471147 : Epoch  3, Batch    903, Loss  1.214141, Average Loss  1.199737, Time  0.435612
2021-09-27 06:38:45.823912 : Epoch  3, Batch    904, Loss  1.194300, Average Loss  1.199660, Time  0.438815
2021-09-27 06:38:51.240979 : Epoch  3, Batch    905, Loss  1.204635, Average Loss  1.199685, Time  0.435552
2021-09-27 06:38:56.646410 : Epoch  3, Batch    906, Loss  1.204289, Average Loss  1.199697, Time  0.435105
2021-09-27 06:39:01.968415 : Epoch  3, Batch    907, Loss  1.203112, Average Loss  1.199792, Time  0.448972
2021-09-27 06:39:07.442737 : Epoch  3, Batch    908, Loss  1.205784, Average Loss  1.199775, Time  0.437639
2021-09-27 06:39:13.122376 : Epoch  3, Batch    909, Loss  1.203182, Average Loss  1.199725, Time  0.440003
2021-09-27 06:39:18.830614 : Epoch  3, Batch    910, Loss  1.202975, Average Loss  1.199746, Time  0.437995
2021-09-27 06:39:24.455817 : Epoch  3, Batch    911, Loss  1.218740, Average Loss  1.199785, Time  0.438377
2021-09-27 06:39:30.060923 : Epoch  3, Batch    912, Loss  1.200199, Average Loss  1.199764, Time  0.435807
2021-09-27 06:39:35.351261 : Epoch  3, Batch    913, Loss  1.189341, Average Loss  1.199752, Time  0.436162
2021-09-27 06:39:40.656939 : Epoch  3, Batch    914, Loss  1.189874, Average Loss  1.199674, Time  0.435694
2021-09-27 06:39:45.975329 : Epoch  3, Batch    915, Loss  1.201224, Average Loss  1.199705, Time  0.435522
2021-09-27 06:39:51.313820 : Epoch  3, Batch    916, Loss  1.194590, Average Loss  1.199631, Time  0.445327
2021-09-27 06:39:56.728392 : Epoch  3, Batch    917, Loss  1.206265, Average Loss  1.199713, Time  0.436043
2021-09-27 06:40:02.047428 : Epoch  3, Batch    918, Loss  1.213088, Average Loss  1.199782, Time  0.435534
2021-09-27 06:40:07.362250 : Epoch  3, Batch    919, Loss  1.210520, Average Loss  1.199838, Time  0.435132
2021-09-27 06:40:12.661337 : Epoch  3, Batch    920, Loss  1.178346, Average Loss  1.199715, Time  0.435513
2021-09-27 06:40:17.971938 : Epoch  3, Batch    921, Loss  1.196787, Average Loss  1.199771, Time  0.435652
2021-09-27 06:40:23.304281 : Epoch  3, Batch    922, Loss  1.197000, Average Loss  1.199803, Time  0.435632
2021-09-27 06:40:28.888412 : Epoch  3, Batch    923, Loss  1.208760, Average Loss  1.199819, Time  0.437965
2021-09-27 06:40:34.315412 : Epoch  3, Batch    924, Loss  1.193735, Average Loss  1.199792, Time  0.435474
2021-09-27 06:40:39.697257 : Epoch  3, Batch    925, Loss  1.191841, Average Loss  1.199736, Time  0.452255
2021-09-27 06:40:45.236476 : Epoch  3, Batch    926, Loss  1.205142, Average Loss  1.199716, Time  0.439328
2021-09-27 06:40:51.183364 : Epoch  3, Batch    927, Loss  1.200534, Average Loss  1.199647, Time  0.440193
2021-09-27 06:40:57.130288 : Epoch  3, Batch    928, Loss  1.212729, Average Loss  1.199737, Time  0.440645
2021-09-27 06:40:57.169490 : Saving Model after 3-th Epoch.
2021-09-27 06:40:57.933457 : Epoch Finished.
2021-09-27 06:41:03.473649 : Batch Shuffled
2021-09-27 06:41:09.411145 : Epoch  4, Batch      1, Loss  1.196708, Average Loss  1.199733, Time  0.439627
2021-09-27 06:41:15.331898 : Epoch  4, Batch      2, Loss  1.192294, Average Loss  1.199690, Time  0.443353
2021-09-27 06:41:21.245330 : Epoch  4, Batch      3, Loss  1.186828, Average Loss  1.199635, Time  0.439096
2021-09-27 06:41:27.199637 : Epoch  4, Batch      4, Loss  1.209953, Average Loss  1.199792, Time  0.453297
2021-09-27 06:41:33.105595 : Epoch  4, Batch      5, Loss  1.211967, Average Loss  1.199825, Time  0.440570
2021-09-27 06:41:39.025351 : Epoch  4, Batch      6, Loss  1.204002, Average Loss  1.199867, Time  0.443719
2021-09-27 06:41:44.957771 : Epoch  4, Batch      7, Loss  1.204839, Average Loss  1.199947, Time  0.439977
2021-09-27 06:41:50.884421 : Epoch  4, Batch      8, Loss  1.210827, Average Loss  1.199949, Time  0.438586
2021-09-27 06:41:56.796156 : Epoch  4, Batch      9, Loss  1.191506, Average Loss  1.199881, Time  0.442650
2021-09-27 06:42:02.710757 : Epoch  4, Batch     10, Loss  1.182202, Average Loss  1.199852, Time  0.438612
2021-09-27 06:42:08.628446 : Epoch  4, Batch     11, Loss  1.212875, Average Loss  1.199932, Time  0.438502
2021-09-27 06:42:14.562222 : Epoch  4, Batch     12, Loss  1.203261, Average Loss  1.199903, Time  0.448507
2021-09-27 06:42:20.488931 : Epoch  4, Batch     13, Loss  1.188491, Average Loss  1.199830, Time  0.442168
2021-09-27 06:42:26.408888 : Epoch  4, Batch     14, Loss  1.190282, Average Loss  1.199731, Time  0.439286
2021-09-27 06:42:32.334114 : Epoch  4, Batch     15, Loss  1.200310, Average Loss  1.199684, Time  0.441479
2021-09-27 06:42:38.253107 : Epoch  4, Batch     16, Loss  1.188111, Average Loss  1.199591, Time  0.440929
2021-09-27 06:47:17.069237 : CheckPoint: Validation Loss  0.00020914, Best Loss  0.00020394
2021-09-27 06:47:23.003933 : Epoch  4, Batch     17, Loss  1.188976, Average Loss  1.199481, Time  0.440068
2021-09-27 06:47:28.992220 : Epoch  4, Batch     18, Loss  1.202831, Average Loss  1.199502, Time  0.441401
2021-09-27 06:47:34.993640 : Epoch  4, Batch     19, Loss  1.197012, Average Loss  1.199487, Time  0.455631
2021-09-27 06:47:40.973941 : Epoch  4, Batch     20, Loss  1.217318, Average Loss  1.199613, Time  0.440961
2021-09-27 06:47:46.958773 : Epoch  4, Batch     21, Loss  1.190846, Average Loss  1.199539, Time  0.441493
2021-09-27 06:47:52.945905 : Epoch  4, Batch     22, Loss  1.187216, Average Loss  1.199474, Time  0.440151
2021-09-27 06:47:58.923765 : Epoch  4, Batch     23, Loss  1.178988, Average Loss  1.199361, Time  0.440801
2021-09-27 06:48:04.905408 : Epoch  4, Batch     24, Loss  1.209960, Average Loss  1.199485, Time  0.439855
2021-09-27 06:48:10.902682 : Epoch  4, Batch     25, Loss  1.207965, Average Loss  1.199504, Time  0.441397
2021-09-27 06:48:16.901767 : Epoch  4, Batch     26, Loss  1.213880, Average Loss  1.199617, Time  0.440419
2021-09-27 06:48:22.920698 : Epoch  4, Batch     27, Loss  1.195236, Average Loss  1.199534, Time  0.452917
2021-09-27 06:48:28.900775 : Epoch  4, Batch     28, Loss  1.200793, Average Loss  1.199471, Time  0.439269
2021-09-27 06:48:34.893674 : Epoch  4, Batch     29, Loss  1.185198, Average Loss  1.199398, Time  0.440199
2021-09-27 06:48:40.873515 : Epoch  4, Batch     30, Loss  1.183924, Average Loss  1.199307, Time  0.441044
2021-09-27 06:48:46.864528 : Epoch  4, Batch     31, Loss  1.208115, Average Loss  1.199417, Time  0.440347
2021-09-27 06:48:52.860844 : Epoch  4, Batch     32, Loss  1.209893, Average Loss  1.199478, Time  0.445207
2021-09-27 06:48:58.848730 : Epoch  4, Batch     33, Loss  1.199185, Average Loss  1.199395, Time  0.438430
2021-09-27 06:49:04.830186 : Epoch  4, Batch     34, Loss  1.196180, Average Loss  1.199429, Time  0.439122
2021-09-27 06:49:10.824885 : Epoch  4, Batch     35, Loss  1.214339, Average Loss  1.199427, Time  0.448603
2021-09-27 06:49:16.814782 : Epoch  4, Batch     36, Loss  1.204538, Average Loss  1.199448, Time  0.442828
2021-09-27 06:49:22.794461 : Epoch  4, Batch     37, Loss  1.186911, Average Loss  1.199474, Time  0.440140
2021-09-27 06:49:28.784878 : Epoch  4, Batch     38, Loss  1.189116, Average Loss  1.199357, Time  0.440334
2021-09-27 06:49:34.759910 : Epoch  4, Batch     39, Loss  1.184942, Average Loss  1.199279, Time  0.441215
2021-09-27 06:49:40.736785 : Epoch  4, Batch     40, Loss  1.188742, Average Loss  1.199236, Time  0.440029
2021-09-27 06:49:46.713986 : Epoch  4, Batch     41, Loss  1.216598, Average Loss  1.199273, Time  0.439851
2021-09-27 06:49:52.718349 : Epoch  4, Batch     42, Loss  1.207971, Average Loss  1.199324, Time  0.439760
2021-09-27 06:49:58.708014 : Epoch  4, Batch     43, Loss  1.188002, Average Loss  1.199231, Time  0.454708
2021-09-27 06:50:04.666939 : Epoch  4, Batch     44, Loss  1.211307, Average Loss  1.199265, Time  0.441598
2021-09-27 06:50:10.689072 : Epoch  4, Batch     45, Loss  1.215639, Average Loss  1.199310, Time  0.443709
2021-09-27 06:50:16.673663 : Epoch  4, Batch     46, Loss  1.195791, Average Loss  1.199216, Time  0.444151
2021-09-27 06:50:22.660396 : Epoch  4, Batch     47, Loss  1.187706, Average Loss  1.199107, Time  0.440187
2021-09-27 06:50:28.629672 : Epoch  4, Batch     48, Loss  1.195363, Average Loss  1.199087, Time  0.441834
2021-09-27 06:50:34.621675 : Epoch  4, Batch     49, Loss  1.218175, Average Loss  1.199188, Time  0.439346
2021-09-27 06:50:40.612654 : Epoch  4, Batch     50, Loss  1.184374, Average Loss  1.199104, Time  0.439500
2021-09-27 06:50:46.606487 : Epoch  4, Batch     51, Loss  1.194937, Average Loss  1.199068, Time  0.448454
2021-09-27 06:50:52.580838 : Epoch  4, Batch     52, Loss  1.200428, Average Loss  1.199133, Time  0.441887
2021-09-27 06:50:58.562832 : Epoch  4, Batch     53, Loss  1.217080, Average Loss  1.199317, Time  0.439542
2021-09-27 06:51:04.556809 : Epoch  4, Batch     54, Loss  1.196222, Average Loss  1.199244, Time  0.438959
2021-09-27 06:51:10.541801 : Epoch  4, Batch     55, Loss  1.201005, Average Loss  1.199299, Time  0.438731
2021-09-27 06:51:16.506918 : Epoch  4, Batch     56, Loss  1.198544, Average Loss  1.199317, Time  0.440538
2021-09-27 06:51:22.471239 : Epoch  4, Batch     57, Loss  1.199876, Average Loss  1.199410, Time  0.439419
2021-09-27 06:51:28.476894 : Epoch  4, Batch     58, Loss  1.187694, Average Loss  1.199307, Time  0.453253
2021-09-27 06:51:34.472815 : Epoch  4, Batch     59, Loss  1.184970, Average Loss  1.199320, Time  0.440634
2021-09-27 06:51:40.451462 : Epoch  4, Batch     60, Loss  1.191724, Average Loss  1.199210, Time  0.441526
2021-09-27 06:51:46.444484 : Epoch  4, Batch     61, Loss  1.193455, Average Loss  1.199225, Time  0.439083
2021-09-27 06:51:52.423907 : Epoch  4, Batch     62, Loss  1.192799, Average Loss  1.199175, Time  0.440039
2021-09-27 06:51:58.413458 : Epoch  4, Batch     63, Loss  1.194351, Average Loss  1.199189, Time  0.442014
2021-09-27 06:52:04.379744 : Epoch  4, Batch     64, Loss  1.201089, Average Loss  1.199225, Time  0.438744
2021-09-27 06:52:10.355647 : Epoch  4, Batch     65, Loss  1.191530, Average Loss  1.199225, Time  0.438802
2021-09-27 06:52:16.345854 : Epoch  4, Batch     66, Loss  1.205661, Average Loss  1.199220, Time  0.453627
2021-09-27 06:52:22.332461 : Epoch  4, Batch     67, Loss  1.186977, Average Loss  1.199128, Time  0.439698
2021-09-27 06:52:28.316745 : Epoch  4, Batch     68, Loss  1.191126, Average Loss  1.199121, Time  0.440615
2021-09-27 06:52:34.302459 : Epoch  4, Batch     69, Loss  1.217284, Average Loss  1.199200, Time  0.438858
2021-09-27 06:52:40.294442 : Epoch  4, Batch     70, Loss  1.211437, Average Loss  1.199340, Time  0.441954
2021-09-27 06:52:46.290945 : Epoch  4, Batch     71, Loss  1.195415, Average Loss  1.199289, Time  0.438855
2021-09-27 06:52:52.275133 : Epoch  4, Batch     72, Loss  1.187757, Average Loss  1.199275, Time  0.439746
2021-09-27 06:52:58.271449 : Epoch  4, Batch     73, Loss  1.188948, Average Loss  1.199222, Time  0.449501
2021-09-27 06:53:04.260906 : Epoch  4, Batch     74, Loss  1.195709, Average Loss  1.199170, Time  0.440253
2021-09-27 06:53:10.231381 : Epoch  4, Batch     75, Loss  1.210326, Average Loss  1.199272, Time  0.440319
2021-09-27 06:53:16.223052 : Epoch  4, Batch     76, Loss  1.198928, Average Loss  1.199268, Time  0.438841
2021-09-27 06:53:22.213797 : Epoch  4, Batch     77, Loss  1.201269, Average Loss  1.199244, Time  0.440059
2021-09-27 06:53:28.206951 : Epoch  4, Batch     78, Loss  1.195788, Average Loss  1.199298, Time  0.442626
2021-09-27 06:53:34.195048 : Epoch  4, Batch     79, Loss  1.194199, Average Loss  1.199347, Time  0.441335
2021-09-27 06:53:40.189168 : Epoch  4, Batch     80, Loss  1.216450, Average Loss  1.199425, Time  0.442095
2021-09-27 06:53:46.201692 : Epoch  4, Batch     81, Loss  1.204028, Average Loss  1.199514, Time  0.453861
2021-09-27 06:53:52.212448 : Epoch  4, Batch     82, Loss  1.196803, Average Loss  1.199461, Time  0.441375
2021-09-27 06:53:58.218523 : Epoch  4, Batch     83, Loss  1.204845, Average Loss  1.199446, Time  0.440315
2021-09-27 06:54:04.205316 : Epoch  4, Batch     84, Loss  1.212140, Average Loss  1.199527, Time  0.440618
2021-09-27 06:54:10.204493 : Epoch  4, Batch     85, Loss  1.212964, Average Loss  1.199530, Time  0.440768
2021-09-27 06:54:16.183604 : Epoch  4, Batch     86, Loss  1.201097, Average Loss  1.199484, Time  0.440716
2021-09-27 06:54:22.170743 : Epoch  4, Batch     87, Loss  1.186245, Average Loss  1.199432, Time  0.439438
2021-09-27 06:54:28.168447 : Epoch  4, Batch     88, Loss  1.198717, Average Loss  1.199481, Time  0.452087
2021-09-27 06:54:34.151741 : Epoch  4, Batch     89, Loss  1.217942, Average Loss  1.199497, Time  0.439910
2021-09-27 06:54:40.129733 : Epoch  4, Batch     90, Loss  1.196026, Average Loss  1.199474, Time  0.438852
2021-09-27 06:54:46.113298 : Epoch  4, Batch     91, Loss  1.210907, Average Loss  1.199513, Time  0.439394
2021-09-27 06:54:52.107066 : Epoch  4, Batch     92, Loss  1.212692, Average Loss  1.199510, Time  0.439662
2021-09-27 06:54:58.103273 : Epoch  4, Batch     93, Loss  1.189481, Average Loss  1.199448, Time  0.444312
2021-09-27 06:55:04.090052 : Epoch  4, Batch     94, Loss  1.192612, Average Loss  1.199470, Time  0.439098
2021-09-27 06:55:10.109475 : Epoch  4, Batch     95, Loss  1.196657, Average Loss  1.199436, Time  0.438213
2021-09-27 06:55:16.120223 : Epoch  4, Batch     96, Loss  1.205516, Average Loss  1.199401, Time  0.455173
2021-09-27 06:55:22.108020 : Epoch  4, Batch     97, Loss  1.198799, Average Loss  1.199431, Time  0.443518
2021-09-27 06:55:28.096760 : Epoch  4, Batch     98, Loss  1.191945, Average Loss  1.199369, Time  0.442506
2021-09-27 06:55:34.102727 : Epoch  4, Batch     99, Loss  1.226960, Average Loss  1.199450, Time  0.440023
2021-09-27 06:55:40.096782 : Epoch  4, Batch    100, Loss  1.201307, Average Loss  1.199429, Time  0.438552
2021-09-27 06:55:46.080781 : Epoch  4, Batch    101, Loss  1.208190, Average Loss  1.199533, Time  0.439491
2021-09-27 06:55:52.073164 : Epoch  4, Batch    102, Loss  1.187343, Average Loss  1.199467, Time  0.438867
2021-09-27 06:55:58.086626 : Epoch  4, Batch    103, Loss  1.216873, Average Loss  1.199567, Time  0.455389
2021-09-27 06:56:04.080867 : Epoch  4, Batch    104, Loss  1.191849, Average Loss  1.199460, Time  0.441758
2021-09-27 06:56:10.058778 : Epoch  4, Batch    105, Loss  1.202362, Average Loss  1.199417, Time  0.440387
2021-09-27 06:56:16.038378 : Epoch  4, Batch    106, Loss  1.175150, Average Loss  1.199300, Time  0.438495
2021-09-27 06:56:22.043095 : Epoch  4, Batch    107, Loss  1.182626, Average Loss  1.199279, Time  0.439533
2021-09-27 06:56:28.024768 : Epoch  4, Batch    108, Loss  1.213793, Average Loss  1.199319, Time  0.442634
2021-09-27 06:56:34.003801 : Epoch  4, Batch    109, Loss  1.205854, Average Loss  1.199455, Time  0.439471
2021-09-27 06:56:39.998995 : Epoch  4, Batch    110, Loss  1.203839, Average Loss  1.199464, Time  0.439569
2021-09-27 06:56:45.996212 : Epoch  4, Batch    111, Loss  1.205461, Average Loss  1.199493, Time  0.454362
2021-09-27 06:56:51.978802 : Epoch  4, Batch    112, Loss  1.201823, Average Loss  1.199517, Time  0.439320
2021-09-27 06:56:57.964676 : Epoch  4, Batch    113, Loss  1.215974, Average Loss  1.199583, Time  0.440585
2021-09-27 06:57:03.983865 : Epoch  4, Batch    114, Loss  1.215798, Average Loss  1.199601, Time  0.438868
2021-09-27 06:57:09.958646 : Epoch  4, Batch    115, Loss  1.189171, Average Loss  1.199508, Time  0.439361
2021-09-27 06:57:15.958490 : Epoch  4, Batch    116, Loss  1.208150, Average Loss  1.199538, Time  0.441343
2021-09-27 07:01:54.653733 : CheckPoint: Validation Loss  0.00020918, Best Loss  0.00020394
2021-09-27 07:02:00.596360 : Epoch  4, Batch    117, Loss  1.202323, Average Loss  1.199540, Time  0.438386
2021-09-27 07:02:06.588465 : Epoch  4, Batch    118, Loss  1.194983, Average Loss  1.199516, Time  0.449467
2021-09-27 07:02:12.594616 : Epoch  4, Batch    119, Loss  1.201453, Average Loss  1.199513, Time  0.445984
2021-09-27 07:02:18.563428 : Epoch  4, Batch    120, Loss  1.186635, Average Loss  1.199431, Time  0.439971
2021-09-27 07:02:24.555133 : Epoch  4, Batch    121, Loss  1.200474, Average Loss  1.199462, Time  0.440040
2021-09-27 07:02:30.521611 : Epoch  4, Batch    122, Loss  1.205590, Average Loss  1.199518, Time  0.438608
2021-09-27 07:02:36.507447 : Epoch  4, Batch    123, Loss  1.205955, Average Loss  1.199508, Time  0.440571
2021-09-27 07:02:42.506888 : Epoch  4, Batch    124, Loss  1.189979, Average Loss  1.199392, Time  0.440256
2021-09-27 07:02:48.496531 : Epoch  4, Batch    125, Loss  1.196402, Average Loss  1.199338, Time  0.439516
2021-09-27 07:02:54.497858 : Epoch  4, Batch    126, Loss  1.217286, Average Loss  1.199467, Time  0.453193
2021-09-27 07:03:00.513805 : Epoch  4, Batch    127, Loss  1.192197, Average Loss  1.199496, Time  0.440402
2021-09-27 07:03:06.492252 : Epoch  4, Batch    128, Loss  1.185066, Average Loss  1.199403, Time  0.439375
2021-09-27 07:03:12.479782 : Epoch  4, Batch    129, Loss  1.188852, Average Loss  1.199314, Time  0.440385
2021-09-27 07:03:18.470829 : Epoch  4, Batch    130, Loss  1.177129, Average Loss  1.199219, Time  0.442111
2021-09-27 07:03:24.453919 : Epoch  4, Batch    131, Loss  1.195187, Average Loss  1.199212, Time  0.439355
2021-09-27 07:03:30.433663 : Epoch  4, Batch    132, Loss  1.183317, Average Loss  1.199206, Time  0.439327
2021-09-27 07:03:36.440206 : Epoch  4, Batch    133, Loss  1.192709, Average Loss  1.199212, Time  0.455784
2021-09-27 07:03:42.428606 : Epoch  4, Batch    134, Loss  1.186879, Average Loss  1.199186, Time  0.440277
2021-09-27 07:03:48.412578 : Epoch  4, Batch    135, Loss  1.193768, Average Loss  1.199131, Time  0.441874
2021-09-27 07:03:54.403816 : Epoch  4, Batch    136, Loss  1.210021, Average Loss  1.199213, Time  0.439676
2021-09-27 07:04:00.393084 : Epoch  4, Batch    137, Loss  1.206006, Average Loss  1.199268, Time  0.439011
2021-09-27 07:04:06.384619 : Epoch  4, Batch    138, Loss  1.178095, Average Loss  1.199225, Time  0.438680
2021-09-27 07:04:12.369089 : Epoch  4, Batch    139, Loss  1.196416, Average Loss  1.199210, Time  0.441023
2021-09-27 07:04:18.359715 : Epoch  4, Batch    140, Loss  1.190106, Average Loss  1.199283, Time  0.440877
2021-09-27 07:04:24.362023 : Epoch  4, Batch    141, Loss  1.205163, Average Loss  1.199254, Time  0.457521
2021-09-27 07:04:30.350726 : Epoch  4, Batch    142, Loss  1.189929, Average Loss  1.199188, Time  0.444237
2021-09-27 07:04:36.339983 : Epoch  4, Batch    143, Loss  1.205665, Average Loss  1.199214, Time  0.441968
2021-09-27 07:04:42.311406 : Epoch  4, Batch    144, Loss  1.190405, Average Loss  1.199257, Time  0.438540
2021-09-27 07:04:48.290051 : Epoch  4, Batch    145, Loss  1.199253, Average Loss  1.199244, Time  0.439568
2021-09-27 07:04:54.277354 : Epoch  4, Batch    146, Loss  1.217631, Average Loss  1.199370, Time  0.440209
2021-09-27 07:05:00.265790 : Epoch  4, Batch    147, Loss  1.203086, Average Loss  1.199488, Time  0.438122
2021-09-27 07:05:06.264870 : Epoch  4, Batch    148, Loss  1.210174, Average Loss  1.199593, Time  0.448613
2021-09-27 07:05:12.251061 : Epoch  4, Batch    149, Loss  1.213841, Average Loss  1.199652, Time  0.439557
2021-09-27 07:05:18.243442 : Epoch  4, Batch    150, Loss  1.191975, Average Loss  1.199588, Time  0.439511
2021-09-27 07:05:24.232306 : Epoch  4, Batch    151, Loss  1.207238, Average Loss  1.199665, Time  0.439899
2021-09-27 07:05:30.210815 : Epoch  4, Batch    152, Loss  1.198984, Average Loss  1.199695, Time  0.441137
2021-09-27 07:05:36.176918 : Epoch  4, Batch    153, Loss  1.193974, Average Loss  1.199627, Time  0.439449
2021-09-27 07:05:42.162804 : Epoch  4, Batch    154, Loss  1.208774, Average Loss  1.199737, Time  0.442040
2021-09-27 07:05:48.148185 : Epoch  4, Batch    155, Loss  1.186073, Average Loss  1.199590, Time  0.439607
2021-09-27 07:05:54.146240 : Epoch  4, Batch    156, Loss  1.195502, Average Loss  1.199590, Time  0.453844
2021-09-27 07:06:00.123890 : Epoch  4, Batch    157, Loss  1.192884, Average Loss  1.199576, Time  0.439269
2021-09-27 07:06:06.121541 : Epoch  4, Batch    158, Loss  1.186800, Average Loss  1.199449, Time  0.439005
2021-09-27 07:06:12.116798 : Epoch  4, Batch    159, Loss  1.205715, Average Loss  1.199401, Time  0.441094
2021-09-27 07:06:18.108762 : Epoch  4, Batch    160, Loss  1.196711, Average Loss  1.199370, Time  0.440139
2021-09-27 07:06:24.105319 : Epoch  4, Batch    161, Loss  1.218681, Average Loss  1.199475, Time  0.440110
2021-09-27 07:06:30.091050 : Epoch  4, Batch    162, Loss  1.204030, Average Loss  1.199424, Time  0.440701
2021-09-27 07:06:36.088909 : Epoch  4, Batch    163, Loss  1.204206, Average Loss  1.199490, Time  0.452928
2021-09-27 07:06:42.071822 : Epoch  4, Batch    164, Loss  1.192359, Average Loss  1.199430, Time  0.438828
2021-09-27 07:06:48.074219 : Epoch  4, Batch    165, Loss  1.204081, Average Loss  1.199466, Time  0.439291
2021-09-27 07:06:54.057867 : Epoch  4, Batch    166, Loss  1.201728, Average Loss  1.199549, Time  0.439626
2021-09-27 07:07:00.041417 : Epoch  4, Batch    167, Loss  1.195778, Average Loss  1.199565, Time  0.439542
2021-09-27 07:07:06.023048 : Epoch  4, Batch    168, Loss  1.197853, Average Loss  1.199448, Time  0.442698
2021-09-27 07:07:12.002401 : Epoch  4, Batch    169, Loss  1.209247, Average Loss  1.199531, Time  0.441693
2021-09-27 07:07:17.988485 : Epoch  4, Batch    170, Loss  1.223780, Average Loss  1.199659, Time  0.439935
2021-09-27 07:07:23.996189 : Epoch  4, Batch    171, Loss  1.204718, Average Loss  1.199712, Time  0.447298
2021-09-27 07:07:29.989008 : Epoch  4, Batch    172, Loss  1.203663, Average Loss  1.199740, Time  0.441594
2021-09-27 07:07:35.981943 : Epoch  4, Batch    173, Loss  1.196227, Average Loss  1.199617, Time  0.443056
2021-09-27 07:07:41.967811 : Epoch  4, Batch    174, Loss  1.199043, Average Loss  1.199678, Time  0.438668
2021-09-27 07:07:47.955601 : Epoch  4, Batch    175, Loss  1.204763, Average Loss  1.199631, Time  0.443427
2021-09-27 07:07:53.951901 : Epoch  4, Batch    176, Loss  1.202304, Average Loss  1.199671, Time  0.439504
2021-09-27 07:07:59.939134 : Epoch  4, Batch    177, Loss  1.191715, Average Loss  1.199606, Time  0.438584
2021-09-27 07:08:05.934212 : Epoch  4, Batch    178, Loss  1.202842, Average Loss  1.199599, Time  0.442130
2021-09-27 07:08:11.950845 : Epoch  4, Batch    179, Loss  1.191169, Average Loss  1.199539, Time  0.448226
2021-09-27 07:08:17.944498 : Epoch  4, Batch    180, Loss  1.190230, Average Loss  1.199461, Time  0.439199
2021-09-27 07:08:23.939820 : Epoch  4, Batch    181, Loss  1.220597, Average Loss  1.199549, Time  0.439062
2021-09-27 07:08:29.948124 : Epoch  4, Batch    182, Loss  1.200870, Average Loss  1.199538, Time  0.445746
2021-09-27 07:08:35.953713 : Epoch  4, Batch    183, Loss  1.199522, Average Loss  1.199442, Time  0.439461
2021-09-27 07:08:41.944205 : Epoch  4, Batch    184, Loss  1.199269, Average Loss  1.199437, Time  0.438622
2021-09-27 07:08:47.934756 : Epoch  4, Batch    185, Loss  1.212163, Average Loss  1.199551, Time  0.443723
2021-09-27 07:08:53.930321 : Epoch  4, Batch    186, Loss  1.191769, Average Loss  1.199561, Time  0.440568
2021-09-27 07:08:59.926699 : Epoch  4, Batch    187, Loss  1.208196, Average Loss  1.199596, Time  0.449128
2021-09-27 07:09:05.934263 : Epoch  4, Batch    188, Loss  1.207238, Average Loss  1.199659, Time  0.440996
2021-09-27 07:09:11.928551 : Epoch  4, Batch    189, Loss  1.190566, Average Loss  1.199580, Time  0.439271
2021-09-27 07:09:17.929775 : Epoch  4, Batch    190, Loss  1.214762, Average Loss  1.199589, Time  0.438792
2021-09-27 07:09:23.930214 : Epoch  4, Batch    191, Loss  1.192071, Average Loss  1.199497, Time  0.448394
2021-09-27 07:09:29.939054 : Epoch  4, Batch    192, Loss  1.199747, Average Loss  1.199604, Time  0.438798
2021-09-27 07:09:35.946350 : Epoch  4, Batch    193, Loss  1.192772, Average Loss  1.199584, Time  0.442653
2021-09-27 07:09:41.938804 : Epoch  4, Batch    194, Loss  1.219784, Average Loss  1.199697, Time  0.438856
2021-09-27 07:09:47.950844 : Epoch  4, Batch    195, Loss  1.193072, Average Loss  1.199619, Time  0.452945
2021-09-27 07:09:53.949676 : Epoch  4, Batch    196, Loss  1.203548, Average Loss  1.199668, Time  0.440979
2021-09-27 07:09:59.941206 : Epoch  4, Batch    197, Loss  1.200235, Average Loss  1.199710, Time  0.439427
2021-09-27 07:10:05.931179 : Epoch  4, Batch    198, Loss  1.192425, Average Loss  1.199646, Time  0.439144
2021-09-27 07:10:11.928345 : Epoch  4, Batch    199, Loss  1.195859, Average Loss  1.199623, Time  0.444112
2021-09-27 07:10:17.922754 : Epoch  4, Batch    200, Loss  1.200393, Average Loss  1.199561, Time  0.438873
2021-09-27 07:10:23.913269 : Epoch  4, Batch    201, Loss  1.212258, Average Loss  1.199639, Time  0.440780
2021-09-27 07:10:29.909163 : Epoch  4, Batch    202, Loss  1.212005, Average Loss  1.199738, Time  0.441656
2021-09-27 07:10:35.899903 : Epoch  4, Batch    203, Loss  1.208811, Average Loss  1.199848, Time  0.453605
2021-09-27 07:10:40.263105 : Epoch  4, Batch    204, Loss  1.213163, Average Loss  1.199864, Time  0.342129
2021-09-27 07:10:46.259671 : Epoch  4, Batch    205, Loss  1.193982, Average Loss  1.199774, Time  0.440020
2021-09-27 07:10:52.269760 : Epoch  4, Batch    206, Loss  1.213735, Average Loss  1.199822, Time  0.438743
2021-09-27 07:10:58.259366 : Epoch  4, Batch    207, Loss  1.186786, Average Loss  1.199732, Time  0.443244
2021-09-27 07:11:04.253262 : Epoch  4, Batch    208, Loss  1.193916, Average Loss  1.199648, Time  0.438597
2021-09-27 07:11:10.242482 : Epoch  4, Batch    209, Loss  1.202738, Average Loss  1.199704, Time  0.438179
2021-09-27 07:11:16.237064 : Epoch  4, Batch    210, Loss  1.199986, Average Loss  1.199793, Time  0.443963
2021-09-27 07:11:22.238780 : Epoch  4, Batch    211, Loss  1.188587, Average Loss  1.199671, Time  0.451036
2021-09-27 07:11:28.235803 : Epoch  4, Batch    212, Loss  1.193949, Average Loss  1.199625, Time  0.441062
2021-09-27 07:11:34.240778 : Epoch  4, Batch    213, Loss  1.201267, Average Loss  1.199689, Time  0.439258
2021-09-27 07:11:40.235686 : Epoch  4, Batch    214, Loss  1.200935, Average Loss  1.199742, Time  0.438574
2021-09-27 07:11:46.222181 : Epoch  4, Batch    215, Loss  1.217854, Average Loss  1.199830, Time  0.442945
2021-09-27 07:11:57.714807 : Epoch  4, Batch    216, Loss  1.194524, Average Loss  1.199862, Time  0.441011
2021-09-27 07:16:36.383043 : CheckPoint: Validation Loss  0.00020730, Best Loss  0.00020394
2021-09-27 07:16:42.330893 : Epoch  4, Batch    217, Loss  1.215232, Average Loss  1.199993, Time  0.447075
2021-09-27 07:16:48.225752 : Epoch  4, Batch    218, Loss  1.218634, Average Loss  1.200072, Time  0.443453
2021-09-27 07:16:54.118426 : Epoch  4, Batch    219, Loss  1.210538, Average Loss  1.200140, Time  0.439495
2021-09-27 07:17:00.002501 : Epoch  4, Batch    220, Loss  1.195708, Average Loss  1.200031, Time  0.439118
2021-09-27 07:17:05.900163 : Epoch  4, Batch    221, Loss  1.188836, Average Loss  1.200021, Time  0.439929
2021-09-27 07:17:11.794065 : Epoch  4, Batch    222, Loss  1.181120, Average Loss  1.199991, Time  0.439018
2021-09-27 07:17:17.698924 : Epoch  4, Batch    223, Loss  1.183135, Average Loss  1.200012, Time  0.440627
2021-09-27 07:17:23.580005 : Epoch  4, Batch    224, Loss  1.199080, Average Loss  1.199957, Time  0.438286
2021-09-27 07:17:29.487361 : Epoch  4, Batch    225, Loss  1.204304, Average Loss  1.199939, Time  0.457375
2021-09-27 07:17:35.391883 : Epoch  4, Batch    226, Loss  1.210166, Average Loss  1.199920, Time  0.439939
2021-09-27 07:17:41.287205 : Epoch  4, Batch    227, Loss  1.185244, Average Loss  1.199870, Time  0.442199
2021-09-27 07:17:47.185635 : Epoch  4, Batch    228, Loss  1.208517, Average Loss  1.199909, Time  0.438892
2021-09-27 07:17:53.068039 : Epoch  4, Batch    229, Loss  1.203641, Average Loss  1.200001, Time  0.438895
2021-09-27 07:17:58.961215 : Epoch  4, Batch    230, Loss  1.196662, Average Loss  1.200065, Time  0.441435
2021-09-27 07:18:04.857274 : Epoch  4, Batch    231, Loss  1.196416, Average Loss  1.200006, Time  0.440623
2021-09-27 07:18:10.750896 : Epoch  4, Batch    232, Loss  1.210812, Average Loss  1.200011, Time  0.439275
2021-09-27 07:18:16.666143 : Epoch  4, Batch    233, Loss  1.209823, Average Loss  1.200064, Time  0.451984
2021-09-27 07:18:22.566806 : Epoch  4, Batch    234, Loss  1.188647, Average Loss  1.200027, Time  0.439041
2021-09-27 07:18:28.464726 : Epoch  4, Batch    235, Loss  1.192569, Average Loss  1.199918, Time  0.439678
2021-09-27 07:18:34.362223 : Epoch  4, Batch    236, Loss  1.187858, Average Loss  1.199834, Time  0.441939
2021-09-27 07:18:40.265744 : Epoch  4, Batch    237, Loss  1.204993, Average Loss  1.199925, Time  0.441200
2021-09-27 07:18:46.171843 : Epoch  4, Batch    238, Loss  1.210799, Average Loss  1.200033, Time  0.440866
2021-09-27 07:18:52.068654 : Epoch  4, Batch    239, Loss  1.202878, Average Loss  1.200123, Time  0.440283
2021-09-27 07:18:57.987604 : Epoch  4, Batch    240, Loss  1.196426, Average Loss  1.200161, Time  0.451323
2021-09-27 07:19:03.902901 : Epoch  4, Batch    241, Loss  1.195644, Average Loss  1.200056, Time  0.440436
2021-09-27 07:19:09.804674 : Epoch  4, Batch    242, Loss  1.227074, Average Loss  1.200152, Time  0.439277
2021-09-27 07:19:15.700693 : Epoch  4, Batch    243, Loss  1.216071, Average Loss  1.200292, Time  0.439603
2021-09-27 07:19:21.592756 : Epoch  4, Batch    244, Loss  1.192861, Average Loss  1.200200, Time  0.440822
2021-09-27 07:19:27.489274 : Epoch  4, Batch    245, Loss  1.194628, Average Loss  1.200095, Time  0.440075
2021-09-27 07:19:33.391771 : Epoch  4, Batch    246, Loss  1.183964, Average Loss  1.200036, Time  0.439149
2021-09-27 07:19:39.285630 : Epoch  4, Batch    247, Loss  1.192717, Average Loss  1.200061, Time  0.438886
2021-09-27 07:19:45.199385 : Epoch  4, Batch    248, Loss  1.211399, Average Loss  1.200141, Time  0.454375
2021-09-27 07:19:51.096091 : Epoch  4, Batch    249, Loss  1.189035, Average Loss  1.199995, Time  0.439632
2021-09-27 07:19:56.992638 : Epoch  4, Batch    250, Loss  1.207752, Average Loss  1.200112, Time  0.439668
2021-09-27 07:20:02.887832 : Epoch  4, Batch    251, Loss  1.210677, Average Loss  1.200191, Time  0.439284
2021-09-27 07:20:08.771719 : Epoch  4, Batch    252, Loss  1.192897, Average Loss  1.200153, Time  0.438586
2021-09-27 07:20:14.664491 : Epoch  4, Batch    253, Loss  1.192479, Average Loss  1.200030, Time  0.440864
2021-09-27 07:20:20.571999 : Epoch  4, Batch    254, Loss  1.200818, Average Loss  1.200053, Time  0.441944
2021-09-27 07:20:26.460670 : Epoch  4, Batch    255, Loss  1.199989, Average Loss  1.200048, Time  0.440445
2021-09-27 07:20:32.357382 : Epoch  4, Batch    256, Loss  1.194368, Average Loss  1.200027, Time  0.453633
2021-09-27 07:20:38.242449 : Epoch  4, Batch    257, Loss  1.202323, Average Loss  1.200040, Time  0.441799
2021-09-27 07:20:44.125758 : Epoch  4, Batch    258, Loss  1.198975, Average Loss  1.200096, Time  0.440000
2021-09-27 07:20:50.008785 : Epoch  4, Batch    259, Loss  1.193107, Average Loss  1.200137, Time  0.440432
2021-09-27 07:20:55.910465 : Epoch  4, Batch    260, Loss  1.207401, Average Loss  1.200215, Time  0.440583
2021-09-27 07:21:01.810812 : Epoch  4, Batch    261, Loss  1.210263, Average Loss  1.200299, Time  0.440209
2021-09-27 07:21:07.701672 : Epoch  4, Batch    262, Loss  1.197078, Average Loss  1.200321, Time  0.440606
2021-09-27 07:21:13.592857 : Epoch  4, Batch    263, Loss  1.197420, Average Loss  1.200336, Time  0.440062
2021-09-27 07:21:19.496117 : Epoch  4, Batch    264, Loss  1.197098, Average Loss  1.200316, Time  0.453351
2021-09-27 07:21:25.395914 : Epoch  4, Batch    265, Loss  1.202376, Average Loss  1.200370, Time  0.439549
2021-09-27 07:21:31.274751 : Epoch  4, Batch    266, Loss  1.201857, Average Loss  1.200351, Time  0.441663
2021-09-27 07:21:37.171416 : Epoch  4, Batch    267, Loss  1.213397, Average Loss  1.200483, Time  0.439561
2021-09-27 07:21:43.075457 : Epoch  4, Batch    268, Loss  1.192060, Average Loss  1.200488, Time  0.441066
2021-09-27 07:21:48.987412 : Epoch  4, Batch    269, Loss  1.193774, Average Loss  1.200370, Time  0.439590
2021-09-27 07:21:54.892258 : Epoch  4, Batch    270, Loss  1.204769, Average Loss  1.200337, Time  0.439035
2021-09-27 07:22:00.796617 : Epoch  4, Batch    271, Loss  1.198705, Average Loss  1.200353, Time  0.441131
2021-09-27 07:22:06.699311 : Epoch  4, Batch    272, Loss  1.195747, Average Loss  1.200393, Time  0.447345
2021-09-27 07:22:12.592747 : Epoch  4, Batch    273, Loss  1.197502, Average Loss  1.200436, Time  0.442807
2021-09-27 07:22:18.496330 : Epoch  4, Batch    274, Loss  1.208375, Average Loss  1.200500, Time  0.441020
2021-09-27 07:22:24.383393 : Epoch  4, Batch    275, Loss  1.203527, Average Loss  1.200466, Time  0.440010
2021-09-27 07:22:30.272631 : Epoch  4, Batch    276, Loss  1.193959, Average Loss  1.200441, Time  0.440042
2021-09-27 07:22:36.159699 : Epoch  4, Batch    277, Loss  1.190658, Average Loss  1.200388, Time  0.440468
2021-09-27 07:22:42.054350 : Epoch  4, Batch    278, Loss  1.204055, Average Loss  1.200429, Time  0.442562
2021-09-27 07:22:47.950568 : Epoch  4, Batch    279, Loss  1.197688, Average Loss  1.200446, Time  0.440237
2021-09-27 07:22:53.859230 : Epoch  4, Batch    280, Loss  1.200983, Average Loss  1.200369, Time  0.455291
2021-09-27 07:22:59.745649 : Epoch  4, Batch    281, Loss  1.214156, Average Loss  1.200420, Time  0.439249
2021-09-27 07:23:05.639081 : Epoch  4, Batch    282, Loss  1.192034, Average Loss  1.200396, Time  0.439963
2021-09-27 07:23:11.535782 : Epoch  4, Batch    283, Loss  1.197845, Average Loss  1.200361, Time  0.441163
2021-09-27 07:23:17.423035 : Epoch  4, Batch    284, Loss  1.187438, Average Loss  1.200237, Time  0.439279
2021-09-27 07:23:23.308527 : Epoch  4, Batch    285, Loss  1.182306, Average Loss  1.200084, Time  0.438626
2021-09-27 07:23:29.222730 : Epoch  4, Batch    286, Loss  1.211349, Average Loss  1.200135, Time  0.439726
2021-09-27 07:23:35.126229 : Epoch  4, Batch    287, Loss  1.199381, Average Loss  1.200201, Time  0.438488
2021-09-27 07:23:41.037796 : Epoch  4, Batch    288, Loss  1.191853, Average Loss  1.200167, Time  0.452274
2021-09-27 07:23:46.941620 : Epoch  4, Batch    289, Loss  1.206587, Average Loss  1.200110, Time  0.441575
2021-09-27 07:23:52.846776 : Epoch  4, Batch    290, Loss  1.212041, Average Loss  1.200190, Time  0.441217
2021-09-27 07:23:58.742216 : Epoch  4, Batch    291, Loss  1.184349, Average Loss  1.200057, Time  0.439496
2021-09-27 07:24:04.638771 : Epoch  4, Batch    292, Loss  1.201943, Average Loss  1.200003, Time  0.440565
2021-09-27 07:24:10.557824 : Epoch  4, Batch    293, Loss  1.195633, Average Loss  1.200034, Time  0.442551
2021-09-27 07:24:16.449902 : Epoch  4, Batch    294, Loss  1.198929, Average Loss  1.200066, Time  0.439062
2021-09-27 07:24:22.366100 : Epoch  4, Batch    295, Loss  1.187833, Average Loss  1.200022, Time  0.442712
2021-09-27 07:24:28.286704 : Epoch  4, Batch    296, Loss  1.208144, Average Loss  1.200035, Time  0.455763
2021-09-27 07:24:34.186189 : Epoch  4, Batch    297, Loss  1.206652, Average Loss  1.200074, Time  0.438985
2021-09-27 07:24:40.070711 : Epoch  4, Batch    298, Loss  1.193597, Average Loss  1.200082, Time  0.440418
2021-09-27 07:24:45.970830 : Epoch  4, Batch    299, Loss  1.197978, Average Loss  1.199937, Time  0.442093
2021-09-27 07:24:51.878376 : Epoch  4, Batch    300, Loss  1.205542, Average Loss  1.199959, Time  0.439256
2021-09-27 07:24:57.789653 : Epoch  4, Batch    301, Loss  1.188024, Average Loss  1.199858, Time  0.442354
2021-09-27 07:25:03.691107 : Epoch  4, Batch    302, Loss  1.207586, Average Loss  1.199959, Time  0.441615
2021-09-27 07:25:09.584806 : Epoch  4, Batch    303, Loss  1.213276, Average Loss  1.199941, Time  0.438600
2021-09-27 07:25:15.498796 : Epoch  4, Batch    304, Loss  1.201842, Average Loss  1.199991, Time  0.451162
2021-09-27 07:25:21.398229 : Epoch  4, Batch    305, Loss  1.212756, Average Loss  1.200043, Time  0.440593
2021-09-27 07:25:27.289810 : Epoch  4, Batch    306, Loss  1.190399, Average Loss  1.200119, Time  0.439029
2021-09-27 07:25:33.186988 : Epoch  4, Batch    307, Loss  1.190817, Average Loss  1.200160, Time  0.438638
2021-09-27 07:25:39.097434 : Epoch  4, Batch    308, Loss  1.212258, Average Loss  1.200153, Time  0.438986
2021-09-27 07:25:44.992866 : Epoch  4, Batch    309, Loss  1.203149, Average Loss  1.200139, Time  0.439967
2021-09-27 07:25:50.897927 : Epoch  4, Batch    310, Loss  1.194628, Average Loss  1.200093, Time  0.440267
2021-09-27 07:25:56.792403 : Epoch  4, Batch    311, Loss  1.195293, Average Loss  1.200042, Time  0.442266
2021-09-27 07:26:02.715674 : Epoch  4, Batch    312, Loss  1.191513, Average Loss  1.199991, Time  0.456630
2021-09-27 07:26:08.635266 : Epoch  4, Batch    313, Loss  1.206883, Average Loss  1.199945, Time  0.440931
2021-09-27 07:26:14.531861 : Epoch  4, Batch    314, Loss  1.198823, Average Loss  1.199860, Time  0.441391
2021-09-27 07:26:20.439701 : Epoch  4, Batch    315, Loss  1.227884, Average Loss  1.200054, Time  0.440470
2021-09-27 07:26:26.337864 : Epoch  4, Batch    316, Loss  1.199730, Average Loss  1.200012, Time  0.439480
2021-09-27 07:31:05.059701 : CheckPoint: Validation Loss  0.00020752, Best Loss  0.00020394
2021-09-27 07:31:11.016946 : Epoch  4, Batch    317, Loss  1.194086, Average Loss  1.199970, Time  0.439658
2021-09-27 07:31:16.956191 : Epoch  4, Batch    318, Loss  1.189090, Average Loss  1.199941, Time  0.438868
2021-09-27 07:31:22.897938 : Epoch  4, Batch    319, Loss  1.213241, Average Loss  1.200000, Time  0.447946
2021-09-27 07:31:28.808750 : Epoch  4, Batch    320, Loss  1.185418, Average Loss  1.199994, Time  0.440702
2021-09-27 07:31:34.750606 : Epoch  4, Batch    321, Loss  1.200810, Average Loss  1.199996, Time  0.439416
2021-09-27 07:31:40.671220 : Epoch  4, Batch    322, Loss  1.192031, Average Loss  1.199928, Time  0.438629
2021-09-27 07:31:46.613867 : Epoch  4, Batch    323, Loss  1.192567, Average Loss  1.199861, Time  0.439308
2021-09-27 07:31:52.558131 : Epoch  4, Batch    324, Loss  1.203731, Average Loss  1.199930, Time  0.439312
2021-09-27 07:31:58.508236 : Epoch  4, Batch    325, Loss  1.188484, Average Loss  1.199890, Time  0.440282
2021-09-27 07:32:04.433676 : Epoch  4, Batch    326, Loss  1.206568, Average Loss  1.199836, Time  0.439497
2021-09-27 07:32:10.365668 : Epoch  4, Batch    327, Loss  1.183895, Average Loss  1.199795, Time  0.447375
2021-09-27 07:32:16.278841 : Epoch  4, Batch    328, Loss  1.209570, Average Loss  1.199917, Time  0.441279
2021-09-27 07:32:22.228603 : Epoch  4, Batch    329, Loss  1.195912, Average Loss  1.199953, Time  0.438750
2021-09-27 07:32:28.178822 : Epoch  4, Batch    330, Loss  1.188806, Average Loss  1.200011, Time  0.441230
2021-09-27 07:32:34.100004 : Epoch  4, Batch    331, Loss  1.201205, Average Loss  1.200041, Time  0.439738
2021-09-27 07:32:40.016858 : Epoch  4, Batch    332, Loss  1.193656, Average Loss  1.200093, Time  0.442499
2021-09-27 07:32:45.956785 : Epoch  4, Batch    333, Loss  1.207725, Average Loss  1.200168, Time  0.438605
2021-09-27 07:32:51.901593 : Epoch  4, Batch    334, Loss  1.221125, Average Loss  1.200339, Time  0.439916
2021-09-27 07:32:57.859918 : Epoch  4, Batch    335, Loss  1.200979, Average Loss  1.200375, Time  0.456269
2021-09-27 07:33:03.775246 : Epoch  4, Batch    336, Loss  1.176738, Average Loss  1.200209, Time  0.441860
2021-09-27 07:33:09.717545 : Epoch  4, Batch    337, Loss  1.196270, Average Loss  1.200160, Time  0.442223
2021-09-27 07:33:15.677366 : Epoch  4, Batch    338, Loss  1.204715, Average Loss  1.200293, Time  0.441292
2021-09-27 07:33:21.601511 : Epoch  4, Batch    339, Loss  1.190927, Average Loss  1.200266, Time  0.439663
2021-09-27 07:33:27.549938 : Epoch  4, Batch    340, Loss  1.206081, Average Loss  1.200346, Time  0.440338
2021-09-27 07:33:33.443934 : Epoch  4, Batch    341, Loss  1.178319, Average Loss  1.200211, Time  0.439366
2021-09-27 07:33:39.367860 : Epoch  4, Batch    342, Loss  1.205263, Average Loss  1.200288, Time  0.439115
2021-09-27 07:33:45.284329 : Epoch  4, Batch    343, Loss  1.201493, Average Loss  1.200267, Time  0.447489
2021-09-27 07:33:51.223242 : Epoch  4, Batch    344, Loss  1.201183, Average Loss  1.200321, Time  0.443089
2021-09-27 07:33:57.162586 : Epoch  4, Batch    345, Loss  1.199679, Average Loss  1.200323, Time  0.440117
2021-09-27 07:34:03.075206 : Epoch  4, Batch    346, Loss  1.204218, Average Loss  1.200256, Time  0.439949
2021-09-27 07:34:09.017147 : Epoch  4, Batch    347, Loss  1.199547, Average Loss  1.200239, Time  0.440857
2021-09-27 07:34:14.962704 : Epoch  4, Batch    348, Loss  1.191540, Average Loss  1.200145, Time  0.440716
2021-09-27 07:34:20.906265 : Epoch  4, Batch    349, Loss  1.202118, Average Loss  1.200087, Time  0.438364
2021-09-27 07:34:26.819734 : Epoch  4, Batch    350, Loss  1.191120, Average Loss  1.200082, Time  0.443253
2021-09-27 07:34:32.754734 : Epoch  4, Batch    351, Loss  1.191580, Average Loss  1.200004, Time  0.447222
2021-09-27 07:34:38.695884 : Epoch  4, Batch    352, Loss  1.200644, Average Loss  1.200012, Time  0.442131
2021-09-27 07:34:44.637066 : Epoch  4, Batch    353, Loss  1.215895, Average Loss  1.200122, Time  0.440316
2021-09-27 07:34:50.575317 : Epoch  4, Batch    354, Loss  1.206881, Average Loss  1.200113, Time  0.440455
2021-09-27 07:34:56.538891 : Epoch  4, Batch    355, Loss  1.196482, Average Loss  1.200165, Time  0.441661
2021-09-27 07:35:02.472827 : Epoch  4, Batch    356, Loss  1.198003, Average Loss  1.200177, Time  0.442700
2021-09-27 07:35:08.387772 : Epoch  4, Batch    357, Loss  1.207001, Average Loss  1.200248, Time  0.439527
2021-09-27 07:35:14.306789 : Epoch  4, Batch    358, Loss  1.186314, Average Loss  1.200245, Time  0.439039
2021-09-27 07:35:20.265307 : Epoch  4, Batch    359, Loss  1.201133, Average Loss  1.200222, Time  0.456364
2021-09-27 07:35:26.182846 : Epoch  4, Batch    360, Loss  1.200040, Average Loss  1.200239, Time  0.438629
2021-09-27 07:35:32.088979 : Epoch  4, Batch    361, Loss  1.198703, Average Loss  1.200139, Time  0.440457
2021-09-27 07:35:38.009155 : Epoch  4, Batch    362, Loss  1.209080, Average Loss  1.200164, Time  0.440123
2021-09-27 07:35:43.965042 : Epoch  4, Batch    363, Loss  1.206073, Average Loss  1.200174, Time  0.442266
2021-09-27 07:35:49.910808 : Epoch  4, Batch    364, Loss  1.186279, Average Loss  1.200143, Time  0.441698
2021-09-27 07:35:55.857770 : Epoch  4, Batch    365, Loss  1.210046, Average Loss  1.200173, Time  0.440365
2021-09-27 07:36:01.817174 : Epoch  4, Batch    366, Loss  1.207647, Average Loss  1.200203, Time  0.441316
2021-09-27 07:36:07.779311 : Epoch  4, Batch    367, Loss  1.189750, Average Loss  1.200173, Time  0.452576
2021-09-27 07:36:13.723798 : Epoch  4, Batch    368, Loss  1.201961, Average Loss  1.200193, Time  0.439040
2021-09-27 07:36:19.648780 : Epoch  4, Batch    369, Loss  1.184784, Average Loss  1.200071, Time  0.441679
2021-09-27 07:36:25.585257 : Epoch  4, Batch    370, Loss  1.202631, Average Loss  1.199965, Time  0.438506
2021-09-27 07:36:31.498951 : Epoch  4, Batch    371, Loss  1.209778, Average Loss  1.199990, Time  0.440223
2021-09-27 07:36:37.431722 : Epoch  4, Batch    372, Loss  1.205826, Average Loss  1.200001, Time  0.440437
2021-09-27 07:36:43.369649 : Epoch  4, Batch    373, Loss  1.190620, Average Loss  1.199973, Time  0.442503
2021-09-27 07:36:49.283790 : Epoch  4, Batch    374, Loss  1.192784, Average Loss  1.199942, Time  0.452262
2021-09-27 07:36:55.187996 : Epoch  4, Batch    375, Loss  1.191009, Average Loss  1.199873, Time  0.439072
2021-09-27 07:37:01.102832 : Epoch  4, Batch    376, Loss  1.195734, Average Loss  1.199840, Time  0.442484
2021-09-27 07:37:07.039203 : Epoch  4, Batch    377, Loss  1.195441, Average Loss  1.199859, Time  0.444179
2021-09-27 07:37:12.957441 : Epoch  4, Batch    378, Loss  1.221030, Average Loss  1.199950, Time  0.441286
2021-09-27 07:37:18.880774 : Epoch  4, Batch    379, Loss  1.194811, Average Loss  1.199968, Time  0.440019
2021-09-27 07:37:24.832336 : Epoch  4, Batch    380, Loss  1.207969, Average Loss  1.200057, Time  0.442804
2021-09-27 07:37:30.742231 : Epoch  4, Batch    381, Loss  1.217448, Average Loss  1.200041, Time  0.439049
2021-09-27 07:37:36.712473 : Epoch  4, Batch    382, Loss  1.194554, Average Loss  1.200009, Time  0.453136
2021-09-27 07:37:42.625751 : Epoch  4, Batch    383, Loss  1.213192, Average Loss  1.200078, Time  0.441365
2021-09-27 07:37:48.528828 : Epoch  4, Batch    384, Loss  1.191219, Average Loss  1.200038, Time  0.439084
2021-09-27 07:37:54.440426 : Epoch  4, Batch    385, Loss  1.188528, Average Loss  1.199919, Time  0.439910
2021-09-27 07:38:00.384814 : Epoch  4, Batch    386, Loss  1.190995, Average Loss  1.199916, Time  0.440347
2021-09-27 07:38:06.329815 : Epoch  4, Batch    387, Loss  1.216020, Average Loss  1.199955, Time  0.439669
2021-09-27 07:38:12.276246 : Epoch  4, Batch    388, Loss  1.206923, Average Loss  1.199953, Time  0.442445
2021-09-27 07:38:18.226105 : Epoch  4, Batch    389, Loss  1.215478, Average Loss  1.200078, Time  0.439359
2021-09-27 07:38:24.185080 : Epoch  4, Batch    390, Loss  1.204617, Average Loss  1.200027, Time  0.450449
2021-09-27 07:38:30.134738 : Epoch  4, Batch    391, Loss  1.194393, Average Loss  1.200038, Time  0.440116
2021-09-27 07:38:36.055774 : Epoch  4, Batch    392, Loss  1.195572, Average Loss  1.200018, Time  0.438891
2021-09-27 07:38:42.009531 : Epoch  4, Batch    393, Loss  1.198313, Average Loss  1.200045, Time  0.440264
2021-09-27 07:38:47.945808 : Epoch  4, Batch    394, Loss  1.182751, Average Loss  1.199860, Time  0.439221
2021-09-27 07:38:53.866811 : Epoch  4, Batch    395, Loss  1.204396, Average Loss  1.199917, Time  0.445455
2021-09-27 07:38:59.776858 : Epoch  4, Batch    396, Loss  1.190737, Average Loss  1.199853, Time  0.439022
2021-09-27 07:39:05.690770 : Epoch  4, Batch    397, Loss  1.201957, Average Loss  1.199861, Time  0.440237
2021-09-27 07:39:11.614967 : Epoch  4, Batch    398, Loss  1.196613, Average Loss  1.199882, Time  0.453427
2021-09-27 07:39:17.562520 : Epoch  4, Batch    399, Loss  1.180779, Average Loss  1.199807, Time  0.439542
2021-09-27 07:39:23.499755 : Epoch  4, Batch    400, Loss  1.217603, Average Loss  1.199893, Time  0.439687
2021-09-27 07:39:29.439836 : Epoch  4, Batch    401, Loss  1.192459, Average Loss  1.199794, Time  0.440527
2021-09-27 07:39:35.352588 : Epoch  4, Batch    402, Loss  1.198977, Average Loss  1.199729, Time  0.440870
2021-09-27 07:39:41.264067 : Epoch  4, Batch    403, Loss  1.203618, Average Loss  1.199703, Time  0.440081
2021-09-27 07:39:47.204078 : Epoch  4, Batch    404, Loss  1.185254, Average Loss  1.199563, Time  0.438719
2021-09-27 07:39:53.178607 : Epoch  4, Batch    405, Loss  1.218253, Average Loss  1.199685, Time  0.457638
2021-09-27 07:39:59.126053 : Epoch  4, Batch    406, Loss  1.197823, Average Loss  1.199605, Time  0.440572
2021-09-27 07:40:05.071666 : Epoch  4, Batch    407, Loss  1.191757, Average Loss  1.199630, Time  0.438741
2021-09-27 07:40:11.017788 : Epoch  4, Batch    408, Loss  1.200249, Average Loss  1.199662, Time  0.439755
2021-09-27 07:40:16.930387 : Epoch  4, Batch    409, Loss  1.196554, Average Loss  1.199631, Time  0.438920
2021-09-27 07:40:22.869969 : Epoch  4, Batch    410, Loss  1.176018, Average Loss  1.199511, Time  0.441419
2021-09-27 07:40:28.783633 : Epoch  4, Batch    411, Loss  1.196819, Average Loss  1.199552, Time  0.438549
2021-09-27 07:40:34.722776 : Epoch  4, Batch    412, Loss  1.199912, Average Loss  1.199582, Time  0.440257
2021-09-27 07:40:40.654754 : Epoch  4, Batch    413, Loss  1.196714, Average Loss  1.199559, Time  0.454074
2021-09-27 07:40:46.612986 : Epoch  4, Batch    414, Loss  1.200082, Average Loss  1.199555, Time  0.441509
2021-09-27 07:40:52.563746 : Epoch  4, Batch    415, Loss  1.200481, Average Loss  1.199468, Time  0.438609
2021-09-27 07:40:58.484318 : Epoch  4, Batch    416, Loss  1.208979, Average Loss  1.199540, Time  0.441067
2021-09-27 07:45:35.250975 : CheckPoint: Validation Loss  0.00021556, Best Loss  0.00020394
2021-09-27 07:45:41.155155 : Epoch  4, Batch    417, Loss  1.201015, Average Loss  1.199469, Time  0.440286
2021-09-27 07:45:47.056121 : Epoch  4, Batch    418, Loss  1.203413, Average Loss  1.199393, Time  0.440599
2021-09-27 07:45:52.943903 : Epoch  4, Batch    419, Loss  1.188720, Average Loss  1.199284, Time  0.439137
2021-09-27 07:45:58.806616 : Epoch  4, Batch    420, Loss  1.205853, Average Loss  1.199335, Time  0.439815
2021-09-27 07:46:04.717061 : Epoch  4, Batch    421, Loss  1.208523, Average Loss  1.199433, Time  0.454519
2021-09-27 07:46:10.617878 : Epoch  4, Batch    422, Loss  1.196872, Average Loss  1.199512, Time  0.442417
2021-09-27 07:46:16.501877 : Epoch  4, Batch    423, Loss  1.187777, Average Loss  1.199535, Time  0.442182
2021-09-27 07:46:22.392676 : Epoch  4, Batch    424, Loss  1.193665, Average Loss  1.199508, Time  0.438568
2021-09-27 07:46:28.304736 : Epoch  4, Batch    425, Loss  1.216072, Average Loss  1.199567, Time  0.442674
2021-09-27 07:46:34.203692 : Epoch  4, Batch    426, Loss  1.202995, Average Loss  1.199531, Time  0.439290
2021-09-27 07:46:40.104086 : Epoch  4, Batch    427, Loss  1.212842, Average Loss  1.199669, Time  0.441083
2021-09-27 07:46:46.011984 : Epoch  4, Batch    428, Loss  1.193045, Average Loss  1.199592, Time  0.444424
2021-09-27 07:46:51.923141 : Epoch  4, Batch    429, Loss  1.189623, Average Loss  1.199521, Time  0.452075
2021-09-27 07:46:57.826355 : Epoch  4, Batch    430, Loss  1.202999, Average Loss  1.199553, Time  0.440651
2021-09-27 07:47:03.709143 : Epoch  4, Batch    431, Loss  1.201318, Average Loss  1.199578, Time  0.438700
2021-09-27 07:47:09.608827 : Epoch  4, Batch    432, Loss  1.196536, Average Loss  1.199506, Time  0.439754
2021-09-27 07:47:15.500973 : Epoch  4, Batch    433, Loss  1.196316, Average Loss  1.199439, Time  0.438976
2021-09-27 07:47:21.398801 : Epoch  4, Batch    434, Loss  1.191485, Average Loss  1.199453, Time  0.439431
2021-09-27 07:47:27.300430 : Epoch  4, Batch    435, Loss  1.204582, Average Loss  1.199513, Time  0.441689
2021-09-27 07:47:33.197721 : Epoch  4, Batch    436, Loss  1.181279, Average Loss  1.199480, Time  0.440363
2021-09-27 07:47:39.107918 : Epoch  4, Batch    437, Loss  1.203615, Average Loss  1.199473, Time  0.454719
2021-09-27 07:47:45.005550 : Epoch  4, Batch    438, Loss  1.193176, Average Loss  1.199385, Time  0.439190
2021-09-27 07:47:50.898047 : Epoch  4, Batch    439, Loss  1.200738, Average Loss  1.199374, Time  0.439142
2021-09-27 07:47:56.793506 : Epoch  4, Batch    440, Loss  1.187391, Average Loss  1.199329, Time  0.444651
2021-09-27 07:48:02.676276 : Epoch  4, Batch    441, Loss  1.196329, Average Loss  1.199333, Time  0.438916
2021-09-27 07:48:08.578820 : Epoch  4, Batch    442, Loss  1.202749, Average Loss  1.199211, Time  0.440161
2021-09-27 07:48:14.468775 : Epoch  4, Batch    443, Loss  1.197281, Average Loss  1.199117, Time  0.438592
2021-09-27 07:48:20.363287 : Epoch  4, Batch    444, Loss  1.226115, Average Loss  1.199283, Time  0.440104
2021-09-27 07:48:26.277811 : Epoch  4, Batch    445, Loss  1.204029, Average Loss  1.199330, Time  0.455919
2021-09-27 07:48:32.184345 : Epoch  4, Batch    446, Loss  1.215132, Average Loss  1.199486, Time  0.441874
2021-09-27 07:48:38.078485 : Epoch  4, Batch    447, Loss  1.186119, Average Loss  1.199453, Time  0.439340
2021-09-27 07:48:43.988728 : Epoch  4, Batch    448, Loss  1.198335, Average Loss  1.199388, Time  0.442064
2021-09-27 07:48:49.881471 : Epoch  4, Batch    449, Loss  1.212967, Average Loss  1.199508, Time  0.440834
2021-09-27 07:48:55.775741 : Epoch  4, Batch    450, Loss  1.188039, Average Loss  1.199409, Time  0.438743
2021-09-27 07:49:01.671851 : Epoch  4, Batch    451, Loss  1.199497, Average Loss  1.199353, Time  0.440734
2021-09-27 07:49:07.575291 : Epoch  4, Batch    452, Loss  1.200398, Average Loss  1.199391, Time  0.443157
2021-09-27 07:49:13.477312 : Epoch  4, Batch    453, Loss  1.202365, Average Loss  1.199440, Time  0.450465
2021-09-27 07:49:19.370827 : Epoch  4, Batch    454, Loss  1.191105, Average Loss  1.199391, Time  0.439533
2021-09-27 07:49:25.268800 : Epoch  4, Batch    455, Loss  1.193176, Average Loss  1.199357, Time  0.440498
2021-09-27 07:49:31.176886 : Epoch  4, Batch    456, Loss  1.179364, Average Loss  1.199282, Time  0.441257
2021-09-27 07:49:37.074710 : Epoch  4, Batch    457, Loss  1.199798, Average Loss  1.199270, Time  0.439225
2021-09-27 07:49:42.991851 : Epoch  4, Batch    458, Loss  1.216173, Average Loss  1.199356, Time  0.439322
2021-09-27 07:49:48.891732 : Epoch  4, Batch    459, Loss  1.179969, Average Loss  1.199290, Time  0.440119
2021-09-27 07:49:54.782394 : Epoch  4, Batch    460, Loss  1.206377, Average Loss  1.199285, Time  0.442753
2021-09-27 07:50:00.697364 : Epoch  4, Batch    461, Loss  1.194526, Average Loss  1.199206, Time  0.452796
2021-09-27 07:50:06.584972 : Epoch  4, Batch    462, Loss  1.212179, Average Loss  1.199282, Time  0.440083
2021-09-27 07:50:12.480659 : Epoch  4, Batch    463, Loss  1.222857, Average Loss  1.199409, Time  0.439610
2021-09-27 07:50:18.363111 : Epoch  4, Batch    464, Loss  1.206030, Average Loss  1.199454, Time  0.439891
2021-09-27 07:50:24.259751 : Epoch  4, Batch    465, Loss  1.198446, Average Loss  1.199434, Time  0.439069
2021-09-27 07:50:30.161829 : Epoch  4, Batch    466, Loss  1.215497, Average Loss  1.199502, Time  0.439297
2021-09-27 07:50:36.059831 : Epoch  4, Batch    467, Loss  1.196294, Average Loss  1.199417, Time  0.439740
2021-09-27 07:50:41.953856 : Epoch  4, Batch    468, Loss  1.188689, Average Loss  1.199400, Time  0.439994
2021-09-27 07:50:47.879736 : Epoch  4, Batch    469, Loss  1.219711, Average Loss  1.199529, Time  0.452907
2021-09-27 07:50:53.779824 : Epoch  4, Batch    470, Loss  1.201323, Average Loss  1.199512, Time  0.440022
2021-09-27 07:50:59.682773 : Epoch  4, Batch    471, Loss  1.184942, Average Loss  1.199443, Time  0.440927
2021-09-27 07:51:05.579822 : Epoch  4, Batch    472, Loss  1.191485, Average Loss  1.199422, Time  0.444466
2021-09-27 07:51:11.474154 : Epoch  4, Batch    473, Loss  1.206596, Average Loss  1.199468, Time  0.438545
2021-09-27 07:51:17.382700 : Epoch  4, Batch    474, Loss  1.204068, Average Loss  1.199446, Time  0.441376
2021-09-27 07:51:23.278748 : Epoch  4, Batch    475, Loss  1.196662, Average Loss  1.199412, Time  0.439630
2021-09-27 07:51:29.173826 : Epoch  4, Batch    476, Loss  1.198198, Average Loss  1.199433, Time  0.438679
2021-09-27 07:51:35.101777 : Epoch  4, Batch    477, Loss  1.204478, Average Loss  1.199502, Time  0.453858
2021-09-27 07:51:41.006837 : Epoch  4, Batch    478, Loss  1.209037, Average Loss  1.199527, Time  0.438679
2021-09-27 07:51:46.915419 : Epoch  4, Batch    479, Loss  1.199223, Average Loss  1.199535, Time  0.440261
2021-09-27 07:51:52.817450 : Epoch  4, Batch    480, Loss  1.210014, Average Loss  1.199580, Time  0.438692
2021-09-27 07:51:58.725790 : Epoch  4, Batch    481, Loss  1.192106, Average Loss  1.199470, Time  0.440687
2021-09-27 07:52:04.624462 : Epoch  4, Batch    482, Loss  1.187688, Average Loss  1.199448, Time  0.439124
2021-09-27 07:52:10.518783 : Epoch  4, Batch    483, Loss  1.195762, Average Loss  1.199437, Time  0.442255
2021-09-27 07:52:16.410734 : Epoch  4, Batch    484, Loss  1.190431, Average Loss  1.199452, Time  0.439462
2021-09-27 07:52:22.314226 : Epoch  4, Batch    485, Loss  1.197079, Average Loss  1.199526, Time  0.448722
2021-09-27 07:52:28.208176 : Epoch  4, Batch    486, Loss  1.203273, Average Loss  1.199486, Time  0.438727
2021-09-27 07:52:34.101751 : Epoch  4, Batch    487, Loss  1.209492, Average Loss  1.199536, Time  0.440196
2021-09-27 07:52:40.013564 : Epoch  4, Batch    488, Loss  1.202388, Average Loss  1.199589, Time  0.442737
2021-09-27 07:52:45.918346 : Epoch  4, Batch    489, Loss  1.207191, Average Loss  1.199592, Time  0.438560
2021-09-27 07:52:51.824888 : Epoch  4, Batch    490, Loss  1.199883, Average Loss  1.199531, Time  0.440560
2021-09-27 07:52:57.718786 : Epoch  4, Batch    491, Loss  1.220034, Average Loss  1.199710, Time  0.439392
2021-09-27 07:53:03.606804 : Epoch  4, Batch    492, Loss  1.195346, Average Loss  1.199677, Time  0.439639
2021-09-27 07:53:09.511465 : Epoch  4, Batch    493, Loss  1.189777, Average Loss  1.199647, Time  0.456074
2021-09-27 07:53:15.430954 : Epoch  4, Batch    494, Loss  1.185032, Average Loss  1.199578, Time  0.440757
2021-09-27 07:53:21.317705 : Epoch  4, Batch    495, Loss  1.205408, Average Loss  1.199666, Time  0.438815
2021-09-27 07:53:27.225619 : Epoch  4, Batch    496, Loss  1.217973, Average Loss  1.199715, Time  0.439195
2021-09-27 07:53:33.122761 : Epoch  4, Batch    497, Loss  1.215828, Average Loss  1.199761, Time  0.440814
2021-09-27 07:53:39.032686 : Epoch  4, Batch    498, Loss  1.192061, Average Loss  1.199753, Time  0.441382
2021-09-27 07:53:44.946353 : Epoch  4, Batch    499, Loss  1.209458, Average Loss  1.199811, Time  0.440634
2021-09-27 07:53:50.838511 : Epoch  4, Batch    500, Loss  1.206126, Average Loss  1.199813, Time  0.438865
2021-09-27 07:53:56.765222 : Epoch  4, Batch    501, Loss  1.204928, Average Loss  1.199898, Time  0.450588
2021-09-27 07:54:02.660422 : Epoch  4, Batch    502, Loss  1.195003, Average Loss  1.199835, Time  0.439492
2021-09-27 07:54:08.555154 : Epoch  4, Batch    503, Loss  1.207174, Average Loss  1.199805, Time  0.439929
2021-09-27 07:54:14.448015 : Epoch  4, Batch    504, Loss  1.191600, Average Loss  1.199753, Time  0.440240
2021-09-27 07:54:20.347118 : Epoch  4, Batch    505, Loss  1.197158, Average Loss  1.199675, Time  0.438573
2021-09-27 07:54:26.248770 : Epoch  4, Batch    506, Loss  1.207373, Average Loss  1.199760, Time  0.440532
2021-09-27 07:54:32.142706 : Epoch  4, Batch    507, Loss  1.208633, Average Loss  1.199849, Time  0.439222
2021-09-27 07:54:38.040326 : Epoch  4, Batch    508, Loss  1.193730, Average Loss  1.199757, Time  0.440800
2021-09-27 07:54:43.951639 : Epoch  4, Batch    509, Loss  1.210394, Average Loss  1.199793, Time  0.455581
2021-09-27 07:54:49.838709 : Epoch  4, Batch    510, Loss  1.210037, Average Loss  1.199870, Time  0.438907
2021-09-27 07:54:55.736559 : Epoch  4, Batch    511, Loss  1.203200, Average Loss  1.199909, Time  0.438776
2021-09-27 07:55:01.634645 : Epoch  4, Batch    512, Loss  1.199539, Average Loss  1.199950, Time  0.440398
2021-09-27 07:55:07.540840 : Epoch  4, Batch    513, Loss  1.191889, Average Loss  1.199875, Time  0.439359
2021-09-27 07:55:13.442469 : Epoch  4, Batch    514, Loss  1.210136, Average Loss  1.199931, Time  0.438956
2021-09-27 07:55:19.328636 : Epoch  4, Batch    515, Loss  1.210595, Average Loss  1.199845, Time  0.441652
2021-09-27 07:55:25.215849 : Epoch  4, Batch    516, Loss  1.196121, Average Loss  1.199827, Time  0.438387
2021-09-27 08:00:01.879417 : CheckPoint: Validation Loss  0.00021057, Best Loss  0.00020394
2021-09-27 08:00:07.806696 : Epoch  4, Batch    517, Loss  1.193915, Average Loss  1.199826, Time  0.455131
2021-09-27 08:00:13.707360 : Epoch  4, Batch    518, Loss  1.188549, Average Loss  1.199823, Time  0.438292
2021-09-27 08:00:19.603726 : Epoch  4, Batch    519, Loss  1.194764, Average Loss  1.199731, Time  0.438986
2021-09-27 08:00:25.512187 : Epoch  4, Batch    520, Loss  1.213422, Average Loss  1.199871, Time  0.443037
2021-09-27 08:00:31.414459 : Epoch  4, Batch    521, Loss  1.192331, Average Loss  1.199828, Time  0.441903
2021-09-27 08:00:37.311111 : Epoch  4, Batch    522, Loss  1.198373, Average Loss  1.199860, Time  0.439577
2021-09-27 08:00:43.212596 : Epoch  4, Batch    523, Loss  1.193511, Average Loss  1.199865, Time  0.440032
2021-09-27 08:00:49.105878 : Epoch  4, Batch    524, Loss  1.200258, Average Loss  1.199847, Time  0.438832
2021-09-27 08:00:55.017498 : Epoch  4, Batch    525, Loss  1.207547, Average Loss  1.199943, Time  0.451379
2021-09-27 08:01:00.934801 : Epoch  4, Batch    526, Loss  1.205407, Average Loss  1.199937, Time  0.440615
2021-09-27 08:01:06.844591 : Epoch  4, Batch    527, Loss  1.177527, Average Loss  1.199905, Time  0.441169
2021-09-27 08:01:12.757891 : Epoch  4, Batch    528, Loss  1.191056, Average Loss  1.199813, Time  0.440195
2021-09-27 08:01:18.660004 : Epoch  4, Batch    529, Loss  1.181120, Average Loss  1.199739, Time  0.439906
2021-09-27 08:01:24.579338 : Epoch  4, Batch    530, Loss  1.182138, Average Loss  1.199705, Time  0.441017
2021-09-27 08:01:30.501812 : Epoch  4, Batch    531, Loss  1.193278, Average Loss  1.199666, Time  0.442264
2021-09-27 08:01:36.396647 : Epoch  4, Batch    532, Loss  1.182030, Average Loss  1.199607, Time  0.446789
2021-09-27 08:01:42.321626 : Epoch  4, Batch    533, Loss  1.186502, Average Loss  1.199501, Time  0.451376
2021-09-27 08:01:48.215842 : Epoch  4, Batch    534, Loss  1.207094, Average Loss  1.199431, Time  0.439007
2021-09-27 08:01:54.117998 : Epoch  4, Batch    535, Loss  1.211501, Average Loss  1.199484, Time  0.438385
2021-09-27 08:02:00.023655 : Epoch  4, Batch    536, Loss  1.189729, Average Loss  1.199549, Time  0.439329
2021-09-27 08:02:05.919743 : Epoch  4, Batch    537, Loss  1.181847, Average Loss  1.199477, Time  0.441720
2021-09-27 08:02:11.813095 : Epoch  4, Batch    538, Loss  1.188799, Average Loss  1.199397, Time  0.439737
2021-09-27 08:02:17.725525 : Epoch  4, Batch    539, Loss  1.192512, Average Loss  1.199405, Time  0.440505
2021-09-27 08:02:23.645096 : Epoch  4, Batch    540, Loss  1.208830, Average Loss  1.199419, Time  0.443370
2021-09-27 08:02:29.561080 : Epoch  4, Batch    541, Loss  1.197332, Average Loss  1.199514, Time  0.454030
2021-09-27 08:02:35.462986 : Epoch  4, Batch    542, Loss  1.194715, Average Loss  1.199461, Time  0.440839
2021-09-27 08:02:41.341727 : Epoch  4, Batch    543, Loss  1.175229, Average Loss  1.199330, Time  0.440795
2021-09-27 08:02:47.250446 : Epoch  4, Batch    544, Loss  1.210075, Average Loss  1.199374, Time  0.439214
2021-09-27 08:02:53.142444 : Epoch  4, Batch    545, Loss  1.195460, Average Loss  1.199353, Time  0.439255
2021-09-27 08:02:59.033817 : Epoch  4, Batch    546, Loss  1.199529, Average Loss  1.199330, Time  0.442383
2021-09-27 08:03:04.938024 : Epoch  4, Batch    547, Loss  1.200306, Average Loss  1.199333, Time  0.439668
2021-09-27 08:03:10.836958 : Epoch  4, Batch    548, Loss  1.194353, Average Loss  1.199348, Time  0.440309
2021-09-27 08:03:16.760797 : Epoch  4, Batch    549, Loss  1.195002, Average Loss  1.199312, Time  0.449186
2021-09-27 08:03:22.660779 : Epoch  4, Batch    550, Loss  1.198530, Average Loss  1.199349, Time  0.439492
2021-09-27 08:03:28.562291 : Epoch  4, Batch    551, Loss  1.205771, Average Loss  1.199420, Time  0.439466
2021-09-27 08:03:34.462348 : Epoch  4, Batch    552, Loss  1.198957, Average Loss  1.199412, Time  0.440027
2021-09-27 08:03:40.365050 : Epoch  4, Batch    553, Loss  1.208865, Average Loss  1.199376, Time  0.439192
2021-09-27 08:03:46.252977 : Epoch  4, Batch    554, Loss  1.191011, Average Loss  1.199297, Time  0.439591
2021-09-27 08:03:52.151974 : Epoch  4, Batch    555, Loss  1.192425, Average Loss  1.199277, Time  0.439663
2021-09-27 08:03:58.054761 : Epoch  4, Batch    556, Loss  1.192529, Average Loss  1.199249, Time  0.440293
2021-09-27 08:04:03.977005 : Epoch  4, Batch    557, Loss  1.201745, Average Loss  1.199223, Time  0.456177
2021-09-27 08:04:09.892671 : Epoch  4, Batch    558, Loss  1.187557, Average Loss  1.199229, Time  0.439769
2021-09-27 08:04:15.793955 : Epoch  4, Batch    559, Loss  1.205970, Average Loss  1.199254, Time  0.439157
2021-09-27 08:04:21.698897 : Epoch  4, Batch    560, Loss  1.189121, Average Loss  1.199199, Time  0.439405
2021-09-27 08:04:27.602029 : Epoch  4, Batch    561, Loss  1.209168, Average Loss  1.199251, Time  0.440683
2021-09-27 08:04:33.493370 : Epoch  4, Batch    562, Loss  1.205369, Average Loss  1.199233, Time  0.439820
2021-09-27 08:04:39.397071 : Epoch  4, Batch    563, Loss  1.195127, Average Loss  1.199178, Time  0.443463
2021-09-27 08:04:45.284943 : Epoch  4, Batch    564, Loss  1.210958, Average Loss  1.199301, Time  0.441376
2021-09-27 08:04:51.182738 : Epoch  4, Batch    565, Loss  1.198797, Average Loss  1.199245, Time  0.448629
2021-09-27 08:04:57.078709 : Epoch  4, Batch    566, Loss  1.215922, Average Loss  1.199286, Time  0.438961
2021-09-27 08:05:02.972769 : Epoch  4, Batch    567, Loss  1.192212, Average Loss  1.199299, Time  0.441199
2021-09-27 08:05:08.886283 : Epoch  4, Batch    568, Loss  1.205900, Average Loss  1.199318, Time  0.440283
2021-09-27 08:05:14.781796 : Epoch  4, Batch    569, Loss  1.200910, Average Loss  1.199399, Time  0.440550
2021-09-27 08:05:20.671154 : Epoch  4, Batch    570, Loss  1.190417, Average Loss  1.199338, Time  0.439732
2021-09-27 08:05:26.580296 : Epoch  4, Batch    571, Loss  1.203804, Average Loss  1.199308, Time  0.441644
2021-09-27 08:05:32.476638 : Epoch  4, Batch    572, Loss  1.189217, Average Loss  1.199225, Time  0.439882
2021-09-27 08:05:38.376391 : Epoch  4, Batch    573, Loss  1.173285, Average Loss  1.199138, Time  0.455759
2021-09-27 08:05:44.274329 : Epoch  4, Batch    574, Loss  1.202514, Average Loss  1.199187, Time  0.440021
2021-09-27 08:05:50.163776 : Epoch  4, Batch    575, Loss  1.197826, Average Loss  1.199221, Time  0.439474
2021-09-27 08:05:56.067579 : Epoch  4, Batch    576, Loss  1.208158, Average Loss  1.199283, Time  0.440463
2021-09-27 08:06:01.962839 : Epoch  4, Batch    577, Loss  1.190734, Average Loss  1.199260, Time  0.441093
2021-09-27 08:06:07.856178 : Epoch  4, Batch    578, Loss  1.197457, Average Loss  1.199142, Time  0.440284
2021-09-27 08:06:13.758773 : Epoch  4, Batch    579, Loss  1.204690, Average Loss  1.199191, Time  0.440080
2021-09-27 08:06:19.656691 : Epoch  4, Batch    580, Loss  1.195856, Average Loss  1.199131, Time  0.440514
2021-09-27 08:06:25.560218 : Epoch  4, Batch    581, Loss  1.201658, Average Loss  1.199052, Time  0.452597
2021-09-27 08:06:31.477216 : Epoch  4, Batch    582, Loss  1.190258, Average Loss  1.199030, Time  0.439552
2021-09-27 08:06:37.378838 : Epoch  4, Batch    583, Loss  1.186260, Average Loss  1.198896, Time  0.440631
2021-09-27 08:06:43.280066 : Epoch  4, Batch    584, Loss  1.190273, Average Loss  1.198891, Time  0.439954
2021-09-27 08:06:49.185866 : Epoch  4, Batch    585, Loss  1.199435, Average Loss  1.198945, Time  0.444426
2021-09-27 08:06:55.084658 : Epoch  4, Batch    586, Loss  1.204067, Average Loss  1.199011, Time  0.440052
2021-09-27 08:07:00.976155 : Epoch  4, Batch    587, Loss  1.193124, Average Loss  1.198896, Time  0.440557
2021-09-27 08:07:06.870850 : Epoch  4, Batch    588, Loss  1.209988, Average Loss  1.198912, Time  0.439728
2021-09-27 08:07:12.775834 : Epoch  4, Batch    589, Loss  1.184127, Average Loss  1.198755, Time  0.448253
2021-09-27 08:07:18.676839 : Epoch  4, Batch    590, Loss  1.185576, Average Loss  1.198660, Time  0.440871
2021-09-27 08:07:24.569566 : Epoch  4, Batch    591, Loss  1.209532, Average Loss  1.198735, Time  0.438922
2021-09-27 08:07:30.462576 : Epoch  4, Batch    592, Loss  1.197648, Average Loss  1.198746, Time  0.441261
2021-09-27 08:07:36.361664 : Epoch  4, Batch    593, Loss  1.196280, Average Loss  1.198736, Time  0.440996
2021-09-27 08:07:42.260839 : Epoch  4, Batch    594, Loss  1.197085, Average Loss  1.198807, Time  0.440052
2021-09-27 08:07:48.151280 : Epoch  4, Batch    595, Loss  1.208793, Average Loss  1.198829, Time  0.438395
2021-09-27 08:07:54.049805 : Epoch  4, Batch    596, Loss  1.186033, Average Loss  1.198806, Time  0.439669
2021-09-27 08:07:59.951807 : Epoch  4, Batch    597, Loss  1.193765, Average Loss  1.198765, Time  0.459524
2021-09-27 08:08:05.852675 : Epoch  4, Batch    598, Loss  1.183547, Average Loss  1.198699, Time  0.439041
2021-09-27 08:08:11.751100 : Epoch  4, Batch    599, Loss  1.211046, Average Loss  1.198851, Time  0.442018
2021-09-27 08:08:17.635634 : Epoch  4, Batch    600, Loss  1.194350, Average Loss  1.198735, Time  0.440155
2021-09-27 08:08:23.523275 : Epoch  4, Batch    601, Loss  1.201852, Average Loss  1.198781, Time  0.440078
2021-09-27 08:08:29.427892 : Epoch  4, Batch    602, Loss  1.182139, Average Loss  1.198697, Time  0.441526
2021-09-27 08:08:35.328190 : Epoch  4, Batch    603, Loss  1.195879, Average Loss  1.198659, Time  0.438686
2021-09-27 08:08:41.229975 : Epoch  4, Batch    604, Loss  1.226929, Average Loss  1.198867, Time  0.439640
2021-09-27 08:08:47.145851 : Epoch  4, Batch    605, Loss  1.186190, Average Loss  1.198707, Time  0.450352
2021-09-27 08:08:53.055103 : Epoch  4, Batch    606, Loss  1.207100, Average Loss  1.198753, Time  0.440337
2021-09-27 08:08:58.960177 : Epoch  4, Batch    607, Loss  1.189443, Average Loss  1.198741, Time  0.440588
2021-09-27 08:09:04.855823 : Epoch  4, Batch    608, Loss  1.187899, Average Loss  1.198680, Time  0.440616
2021-09-27 08:09:10.769760 : Epoch  4, Batch    609, Loss  1.200264, Average Loss  1.198698, Time  0.439829
2021-09-27 08:09:16.667577 : Epoch  4, Batch    610, Loss  1.190201, Average Loss  1.198769, Time  0.442175
2021-09-27 08:09:22.563118 : Epoch  4, Batch    611, Loss  1.196684, Average Loss  1.198769, Time  0.439212
2021-09-27 08:09:28.462678 : Epoch  4, Batch    612, Loss  1.203750, Average Loss  1.198788, Time  0.440310
2021-09-27 08:09:34.385605 : Epoch  4, Batch    613, Loss  1.206232, Average Loss  1.198835, Time  0.453303
2021-09-27 08:09:40.299026 : Epoch  4, Batch    614, Loss  1.207494, Average Loss  1.198872, Time  0.439412
2021-09-27 08:09:46.200639 : Epoch  4, Batch    615, Loss  1.199481, Average Loss  1.198867, Time  0.439663
2021-09-27 08:09:52.095147 : Epoch  4, Batch    616, Loss  1.201277, Average Loss  1.198829, Time  0.440508
2021-09-27 08:14:28.718528 : CheckPoint: Validation Loss  0.00020878, Best Loss  0.00020394
2021-09-27 08:14:34.608164 : Epoch  4, Batch    617, Loss  1.196918, Average Loss  1.198808, Time  0.440666
2021-09-27 08:14:40.524915 : Epoch  4, Batch    618, Loss  1.170928, Average Loss  1.198646, Time  0.438746
2021-09-27 08:14:46.494503 : Epoch  4, Batch    619, Loss  1.200060, Average Loss  1.198703, Time  0.440850
2021-09-27 08:14:52.420868 : Epoch  4, Batch    620, Loss  1.194736, Average Loss  1.198647, Time  0.443292
2021-09-27 08:14:58.375596 : Epoch  4, Batch    621, Loss  1.191709, Average Loss  1.198563, Time  0.446389
2021-09-27 08:15:04.283568 : Epoch  4, Batch    622, Loss  1.203165, Average Loss  1.198594, Time  0.439258
2021-09-27 08:15:10.193616 : Epoch  4, Batch    623, Loss  1.210786, Average Loss  1.198709, Time  0.438769
2021-09-27 08:15:16.141937 : Epoch  4, Batch    624, Loss  1.180199, Average Loss  1.198642, Time  0.440167
2021-09-27 08:15:22.070898 : Epoch  4, Batch    625, Loss  1.197516, Average Loss  1.198549, Time  0.439550
2021-09-27 08:15:28.048502 : Epoch  4, Batch    626, Loss  1.201202, Average Loss  1.198540, Time  0.439245
2021-09-27 08:15:33.996610 : Epoch  4, Batch    627, Loss  1.203212, Average Loss  1.198492, Time  0.438689
2021-09-27 08:15:39.921717 : Epoch  4, Batch    628, Loss  1.204073, Average Loss  1.198547, Time  0.440943
2021-09-27 08:15:45.875647 : Epoch  4, Batch    629, Loss  1.194889, Average Loss  1.198574, Time  0.454772
2021-09-27 08:15:51.825621 : Epoch  4, Batch    630, Loss  1.199757, Average Loss  1.198558, Time  0.440076
2021-09-27 08:15:57.784493 : Epoch  4, Batch    631, Loss  1.200016, Average Loss  1.198551, Time  0.439242
2021-09-27 08:16:03.718597 : Epoch  4, Batch    632, Loss  1.209913, Average Loss  1.198618, Time  0.439841
2021-09-27 08:16:09.651035 : Epoch  4, Batch    633, Loss  1.196513, Average Loss  1.198619, Time  0.438835
2021-09-27 08:16:15.599177 : Epoch  4, Batch    634, Loss  1.192745, Average Loss  1.198625, Time  0.439065
2021-09-27 08:16:21.556823 : Epoch  4, Batch    635, Loss  1.206945, Average Loss  1.198637, Time  0.442745
2021-09-27 08:16:27.497876 : Epoch  4, Batch    636, Loss  1.199171, Average Loss  1.198726, Time  0.443261
2021-09-27 08:16:33.471841 : Epoch  4, Batch    637, Loss  1.184620, Average Loss  1.198631, Time  0.451987
2021-09-27 08:16:39.413784 : Epoch  4, Batch    638, Loss  1.208836, Average Loss  1.198710, Time  0.439677
2021-09-27 08:16:45.372143 : Epoch  4, Batch    639, Loss  1.192342, Average Loss  1.198668, Time  0.439759
2021-09-27 08:16:51.328706 : Epoch  4, Batch    640, Loss  1.206163, Average Loss  1.198762, Time  0.438458
2021-09-27 08:16:57.274700 : Epoch  4, Batch    641, Loss  1.212310, Average Loss  1.198842, Time  0.439090
2021-09-27 08:17:03.198014 : Epoch  4, Batch    642, Loss  1.190635, Average Loss  1.198781, Time  0.440837
2021-09-27 08:17:09.117650 : Epoch  4, Batch    643, Loss  1.193584, Average Loss  1.198763, Time  0.440395
2021-09-27 08:17:15.052190 : Epoch  4, Batch    644, Loss  1.208134, Average Loss  1.198673, Time  0.439052
2021-09-27 08:17:21.025699 : Epoch  4, Batch    645, Loss  1.180985, Average Loss  1.198557, Time  0.452671
2021-09-27 08:17:26.966813 : Epoch  4, Batch    646, Loss  1.227824, Average Loss  1.198621, Time  0.439477
2021-09-27 08:17:32.922679 : Epoch  4, Batch    647, Loss  1.184203, Average Loss  1.198611, Time  0.441046
2021-09-27 08:17:38.873085 : Epoch  4, Batch    648, Loss  1.214893, Average Loss  1.198694, Time  0.439195
2021-09-27 08:17:44.809885 : Epoch  4, Batch    649, Loss  1.190389, Average Loss  1.198581, Time  0.440688
2021-09-27 08:17:50.758310 : Epoch  4, Batch    650, Loss  1.209953, Average Loss  1.198691, Time  0.440171
2021-09-27 08:17:56.725406 : Epoch  4, Batch    651, Loss  1.209744, Average Loss  1.198742, Time  0.442075
2021-09-27 08:18:02.688565 : Epoch  4, Batch    652, Loss  1.197974, Average Loss  1.198730, Time  0.439179
2021-09-27 08:18:08.635629 : Epoch  4, Batch    653, Loss  1.195898, Average Loss  1.198698, Time  0.454137
2021-09-27 08:18:14.617764 : Epoch  4, Batch    654, Loss  1.207058, Average Loss  1.198777, Time  0.441869
2021-09-27 08:18:20.547698 : Epoch  4, Batch    655, Loss  1.175716, Average Loss  1.198690, Time  0.444442
2021-09-27 08:18:26.509336 : Epoch  4, Batch    656, Loss  1.206977, Average Loss  1.198828, Time  0.440229
2021-09-27 08:18:32.479772 : Epoch  4, Batch    657, Loss  1.210565, Average Loss  1.198882, Time  0.439611
2021-09-27 08:18:38.413020 : Epoch  4, Batch    658, Loss  1.202191, Average Loss  1.198812, Time  0.438504
2021-09-27 08:18:44.355809 : Epoch  4, Batch    659, Loss  1.194240, Average Loss  1.198883, Time  0.438935
2021-09-27 08:18:50.326419 : Epoch  4, Batch    660, Loss  1.190200, Average Loss  1.198802, Time  0.447555
2021-09-27 08:18:56.282304 : Epoch  4, Batch    661, Loss  1.197315, Average Loss  1.198816, Time  0.439885
2021-09-27 08:19:02.204486 : Epoch  4, Batch    662, Loss  1.196274, Average Loss  1.198737, Time  0.441236
2021-09-27 08:19:08.162235 : Epoch  4, Batch    663, Loss  1.198006, Average Loss  1.198613, Time  0.441360
2021-09-27 08:19:14.090513 : Epoch  4, Batch    664, Loss  1.198911, Average Loss  1.198577, Time  0.441192
2021-09-27 08:19:20.038009 : Epoch  4, Batch    665, Loss  1.184293, Average Loss  1.198506, Time  0.440297
2021-09-27 08:19:25.970379 : Epoch  4, Batch    666, Loss  1.209378, Average Loss  1.198476, Time  0.438676
2021-09-27 08:19:31.931837 : Epoch  4, Batch    667, Loss  1.200909, Average Loss  1.198499, Time  0.439592
2021-09-27 08:19:37.884464 : Epoch  4, Batch    668, Loss  1.199895, Average Loss  1.198555, Time  0.452152
2021-09-27 08:19:43.843661 : Epoch  4, Batch    669, Loss  1.202077, Average Loss  1.198467, Time  0.439431
2021-09-27 08:19:49.813647 : Epoch  4, Batch    670, Loss  1.205419, Average Loss  1.198487, Time  0.440850
2021-09-27 08:19:55.737649 : Epoch  4, Batch    671, Loss  1.201798, Average Loss  1.198571, Time  0.439142
2021-09-27 08:20:01.646782 : Epoch  4, Batch    672, Loss  1.209101, Average Loss  1.198659, Time  0.441257
2021-09-27 08:20:07.567827 : Epoch  4, Batch    673, Loss  1.206264, Average Loss  1.198658, Time  0.439365
2021-09-27 08:20:13.492665 : Epoch  4, Batch    674, Loss  1.205749, Average Loss  1.198666, Time  0.445021
2021-09-27 08:20:19.428069 : Epoch  4, Batch    675, Loss  1.210602, Average Loss  1.198736, Time  0.442726
2021-09-27 08:20:25.399013 : Epoch  4, Batch    676, Loss  1.210181, Average Loss  1.198796, Time  0.450916
2021-09-27 08:20:31.327211 : Epoch  4, Batch    677, Loss  1.183896, Average Loss  1.198693, Time  0.440080
2021-09-27 08:20:37.277905 : Epoch  4, Batch    678, Loss  1.208347, Average Loss  1.198689, Time  0.438380
2021-09-27 08:20:43.201795 : Epoch  4, Batch    679, Loss  1.192222, Average Loss  1.198654, Time  0.438543
2021-09-27 08:20:49.134997 : Epoch  4, Batch    680, Loss  1.192349, Average Loss  1.198566, Time  0.440245
2021-09-27 08:20:55.079968 : Epoch  4, Batch    681, Loss  1.202539, Average Loss  1.198618, Time  0.439263
2021-09-27 08:21:01.019920 : Epoch  4, Batch    682, Loss  1.190482, Average Loss  1.198632, Time  0.439431
2021-09-27 08:21:06.954354 : Epoch  4, Batch    683, Loss  1.207920, Average Loss  1.198693, Time  0.439218
2021-09-27 08:21:12.927262 : Epoch  4, Batch    684, Loss  1.208573, Average Loss  1.198784, Time  0.456665
2021-09-27 08:21:18.884666 : Epoch  4, Batch    685, Loss  1.197443, Average Loss  1.198786, Time  0.439976
2021-09-27 08:21:24.820767 : Epoch  4, Batch    686, Loss  1.198167, Average Loss  1.198760, Time  0.439568
2021-09-27 08:21:30.756791 : Epoch  4, Batch    687, Loss  1.196519, Average Loss  1.198695, Time  0.440463
2021-09-27 08:21:36.682528 : Epoch  4, Batch    688, Loss  1.206724, Average Loss  1.198717, Time  0.439638
2021-09-27 08:21:42.632596 : Epoch  4, Batch    689, Loss  1.205403, Average Loss  1.198708, Time  0.440647
2021-09-27 08:21:48.599574 : Epoch  4, Batch    690, Loss  1.210468, Average Loss  1.198761, Time  0.444602
2021-09-27 08:21:54.511371 : Epoch  4, Batch    691, Loss  1.189067, Average Loss  1.198606, Time  0.440201
2021-09-27 08:22:00.456987 : Epoch  4, Batch    692, Loss  1.198405, Average Loss  1.198621, Time  0.451963
2021-09-27 08:22:06.414789 : Epoch  4, Batch    693, Loss  1.187018, Average Loss  1.198608, Time  0.440434
2021-09-27 08:22:12.375463 : Epoch  4, Batch    694, Loss  1.197932, Average Loss  1.198672, Time  0.441669
2021-09-27 08:22:18.344562 : Epoch  4, Batch    695, Loss  1.199362, Average Loss  1.198642, Time  0.441296
2021-09-27 08:22:24.308729 : Epoch  4, Batch    696, Loss  1.181654, Average Loss  1.198460, Time  0.441619
2021-09-27 08:22:30.248781 : Epoch  4, Batch    697, Loss  1.192869, Average Loss  1.198345, Time  0.440832
2021-09-27 08:22:36.199865 : Epoch  4, Batch    698, Loss  1.197363, Average Loss  1.198372, Time  0.438996
2021-09-27 08:22:42.140349 : Epoch  4, Batch    699, Loss  1.186960, Average Loss  1.198259, Time  0.447890
2021-09-27 08:22:48.090260 : Epoch  4, Batch    700, Loss  1.203952, Average Loss  1.198249, Time  0.438656
2021-09-27 08:22:54.042199 : Epoch  4, Batch    701, Loss  1.211398, Average Loss  1.198281, Time  0.439204
2021-09-27 08:22:59.981747 : Epoch  4, Batch    702, Loss  1.200704, Average Loss  1.198309, Time  0.438319
2021-09-27 08:23:05.930336 : Epoch  4, Batch    703, Loss  1.206763, Average Loss  1.198307, Time  0.440727
2021-09-27 08:23:11.898132 : Epoch  4, Batch    704, Loss  1.198359, Average Loss  1.198341, Time  0.439651
2021-09-27 08:23:17.848831 : Epoch  4, Batch    705, Loss  1.213151, Average Loss  1.198421, Time  0.439459
2021-09-27 08:23:23.798930 : Epoch  4, Batch    706, Loss  1.200176, Average Loss  1.198385, Time  0.438556
2021-09-27 08:23:29.750861 : Epoch  4, Batch    707, Loss  1.212416, Average Loss  1.198404, Time  0.450521
2021-09-27 08:23:35.715012 : Epoch  4, Batch    708, Loss  1.213208, Average Loss  1.198501, Time  0.441454
2021-09-27 08:23:41.677112 : Epoch  4, Batch    709, Loss  1.200817, Average Loss  1.198454, Time  0.439868
2021-09-27 08:23:47.626771 : Epoch  4, Batch    710, Loss  1.187367, Average Loss  1.198340, Time  0.442070
2021-09-27 08:23:53.564474 : Epoch  4, Batch    711, Loss  1.189007, Average Loss  1.198269, Time  0.438562
2021-09-27 08:23:59.520817 : Epoch  4, Batch    712, Loss  1.200169, Average Loss  1.198272, Time  0.439736
2021-09-27 08:24:05.464219 : Epoch  4, Batch    713, Loss  1.206453, Average Loss  1.198345, Time  0.440749
2021-09-27 08:24:11.424250 : Epoch  4, Batch    714, Loss  1.195151, Average Loss  1.198270, Time  0.440205
2021-09-27 08:24:17.393755 : Epoch  4, Batch    715, Loss  1.200969, Average Loss  1.198222, Time  0.446930
2021-09-27 08:24:23.318880 : Epoch  4, Batch    716, Loss  1.206277, Average Loss  1.198273, Time  0.438843
2021-09-27 08:29:00.031782 : CheckPoint: Validation Loss  0.00020720, Best Loss  0.00020394
2021-09-27 08:29:05.952008 : Epoch  4, Batch    717, Loss  1.193730, Average Loss  1.198272, Time  0.441492
2021-09-27 08:29:11.856572 : Epoch  4, Batch    718, Loss  1.223637, Average Loss  1.198447, Time  0.440528
2021-09-27 08:29:17.779157 : Epoch  4, Batch    719, Loss  1.221824, Average Loss  1.198583, Time  0.439831
2021-09-27 08:29:23.671666 : Epoch  4, Batch    720, Loss  1.186058, Average Loss  1.198446, Time  0.439791
2021-09-27 08:29:29.582069 : Epoch  4, Batch    721, Loss  1.198173, Average Loss  1.198475, Time  0.441031
2021-09-27 08:29:35.499160 : Epoch  4, Batch    722, Loss  1.195401, Average Loss  1.198460, Time  0.451768
2021-09-27 08:29:41.412863 : Epoch  4, Batch    723, Loss  1.213677, Average Loss  1.198561, Time  0.440430
2021-09-27 08:29:47.305301 : Epoch  4, Batch    724, Loss  1.191894, Average Loss  1.198519, Time  0.440503
2021-09-27 08:29:53.218670 : Epoch  4, Batch    725, Loss  1.195900, Average Loss  1.198461, Time  0.440893
2021-09-27 08:29:59.128045 : Epoch  4, Batch    726, Loss  1.184551, Average Loss  1.198357, Time  0.439247
2021-09-27 08:30:05.043838 : Epoch  4, Batch    727, Loss  1.201952, Average Loss  1.198479, Time  0.439410
2021-09-27 08:30:10.945744 : Epoch  4, Batch    728, Loss  1.180898, Average Loss  1.198428, Time  0.441004
2021-09-27 08:30:16.864806 : Epoch  4, Batch    729, Loss  1.204406, Average Loss  1.198545, Time  0.439101
2021-09-27 08:30:22.801000 : Epoch  4, Batch    730, Loss  1.199771, Average Loss  1.198633, Time  0.452561
2021-09-27 08:30:28.707838 : Epoch  4, Batch    731, Loss  1.193331, Average Loss  1.198633, Time  0.440234
2021-09-27 08:30:34.626889 : Epoch  4, Batch    732, Loss  1.191827, Average Loss  1.198682, Time  0.438419
2021-09-27 08:30:40.545522 : Epoch  4, Batch    733, Loss  1.198325, Average Loss  1.198741, Time  0.444279
2021-09-27 08:30:46.462796 : Epoch  4, Batch    734, Loss  1.205688, Average Loss  1.198734, Time  0.441426
2021-09-27 08:30:52.382785 : Epoch  4, Batch    735, Loss  1.198881, Average Loss  1.198671, Time  0.438749
2021-09-27 08:30:58.296577 : Epoch  4, Batch    736, Loss  1.216343, Average Loss  1.198804, Time  0.439195
2021-09-27 08:31:04.205225 : Epoch  4, Batch    737, Loss  1.195253, Average Loss  1.198871, Time  0.441060
2021-09-27 08:31:10.125987 : Epoch  4, Batch    738, Loss  1.181646, Average Loss  1.198835, Time  0.450259
2021-09-27 08:31:16.034742 : Epoch  4, Batch    739, Loss  1.206545, Average Loss  1.198905, Time  0.439710
2021-09-27 08:31:21.938864 : Epoch  4, Batch    740, Loss  1.198451, Average Loss  1.198854, Time  0.439441
2021-09-27 08:31:27.854378 : Epoch  4, Batch    741, Loss  1.187929, Average Loss  1.198807, Time  0.439145
2021-09-27 08:31:33.769324 : Epoch  4, Batch    742, Loss  1.203326, Average Loss  1.198850, Time  0.438781
2021-09-27 08:31:39.684214 : Epoch  4, Batch    743, Loss  1.192589, Average Loss  1.198936, Time  0.439982
2021-09-27 08:31:45.598333 : Epoch  4, Batch    744, Loss  1.216432, Average Loss  1.198968, Time  0.439380
2021-09-27 08:31:51.507767 : Epoch  4, Batch    745, Loss  1.211283, Average Loss  1.199047, Time  0.439714
2021-09-27 08:31:57.430010 : Epoch  4, Batch    746, Loss  1.184862, Average Loss  1.198974, Time  0.449583
2021-09-27 08:32:03.345982 : Epoch  4, Batch    747, Loss  1.196155, Average Loss  1.198953, Time  0.439739
2021-09-27 08:32:09.274519 : Epoch  4, Batch    748, Loss  1.194423, Average Loss  1.198954, Time  0.439649
2021-09-27 08:32:15.222587 : Epoch  4, Batch    749, Loss  1.197052, Average Loss  1.198964, Time  0.441275
2021-09-27 08:32:21.133860 : Epoch  4, Batch    750, Loss  1.193342, Average Loss  1.198938, Time  0.439488
2021-09-27 08:32:27.047907 : Epoch  4, Batch    751, Loss  1.195898, Average Loss  1.198888, Time  0.441894
2021-09-27 08:32:32.974985 : Epoch  4, Batch    752, Loss  1.203285, Average Loss  1.198910, Time  0.440086
2021-09-27 08:32:38.882686 : Epoch  4, Batch    753, Loss  1.183601, Average Loss  1.198784, Time  0.442073
2021-09-27 08:32:44.816008 : Epoch  4, Batch    754, Loss  1.217905, Average Loss  1.198918, Time  0.457358
2021-09-27 08:32:50.731116 : Epoch  4, Batch    755, Loss  1.207896, Average Loss  1.198996, Time  0.446949
2021-09-27 08:32:56.651080 : Epoch  4, Batch    756, Loss  1.206349, Average Loss  1.199065, Time  0.439736
2021-09-27 08:33:02.567056 : Epoch  4, Batch    757, Loss  1.199183, Average Loss  1.199052, Time  0.442354
2021-09-27 08:33:08.482647 : Epoch  4, Batch    758, Loss  1.183777, Average Loss  1.199033, Time  0.444609
2021-09-27 08:33:14.396687 : Epoch  4, Batch    759, Loss  1.186235, Average Loss  1.198934, Time  0.438988
2021-09-27 08:33:20.313488 : Epoch  4, Batch    760, Loss  1.197684, Average Loss  1.198977, Time  0.441027
2021-09-27 08:33:26.243782 : Epoch  4, Batch    761, Loss  1.203409, Average Loss  1.198948, Time  0.455611
2021-09-27 08:33:32.167778 : Epoch  4, Batch    762, Loss  1.196184, Average Loss  1.198902, Time  0.440306
2021-09-27 08:33:38.078370 : Epoch  4, Batch    763, Loss  1.201420, Average Loss  1.198934, Time  0.441811
2021-09-27 08:33:43.995228 : Epoch  4, Batch    764, Loss  1.206783, Average Loss  1.198913, Time  0.439123
2021-09-27 08:33:49.885545 : Epoch  4, Batch    765, Loss  1.204140, Average Loss  1.198940, Time  0.439231
2021-09-27 08:33:55.804352 : Epoch  4, Batch    766, Loss  1.197609, Average Loss  1.198848, Time  0.439415
2021-09-27 08:34:01.716495 : Epoch  4, Batch    767, Loss  1.180325, Average Loss  1.198789, Time  0.442439
2021-09-27 08:34:07.634482 : Epoch  4, Batch    768, Loss  1.202646, Average Loss  1.198772, Time  0.442511
2021-09-27 08:34:13.566382 : Epoch  4, Batch    769, Loss  1.208759, Average Loss  1.198812, Time  0.455587
2021-09-27 08:34:19.464564 : Epoch  4, Batch    770, Loss  1.205345, Average Loss  1.198886, Time  0.441331
2021-09-27 08:34:25.382553 : Epoch  4, Batch    771, Loss  1.196317, Average Loss  1.198849, Time  0.439684
2021-09-27 08:34:31.294308 : Epoch  4, Batch    772, Loss  1.214096, Average Loss  1.198973, Time  0.441008
2021-09-27 08:34:37.210241 : Epoch  4, Batch    773, Loss  1.197976, Average Loss  1.199097, Time  0.439264
2021-09-27 08:34:43.118854 : Epoch  4, Batch    774, Loss  1.206324, Average Loss  1.199116, Time  0.440294
2021-09-27 08:34:49.038764 : Epoch  4, Batch    775, Loss  1.189221, Average Loss  1.199073, Time  0.441281
2021-09-27 08:34:54.953207 : Epoch  4, Batch    776, Loss  1.208761, Average Loss  1.199076, Time  0.439556
2021-09-27 08:35:00.876596 : Epoch  4, Batch    777, Loss  1.193962, Average Loss  1.199092, Time  0.457048
2021-09-27 08:35:06.787494 : Epoch  4, Batch    778, Loss  1.202278, Average Loss  1.199116, Time  0.440413
2021-09-27 08:35:12.707519 : Epoch  4, Batch    779, Loss  1.193523, Average Loss  1.199060, Time  0.439537
2021-09-27 08:35:18.621801 : Epoch  4, Batch    780, Loss  1.195128, Average Loss  1.199057, Time  0.438741
2021-09-27 08:35:24.531614 : Epoch  4, Batch    781, Loss  1.196853, Average Loss  1.199033, Time  0.443604
2021-09-27 08:35:30.450952 : Epoch  4, Batch    782, Loss  1.215844, Average Loss  1.199160, Time  0.438843
2021-09-27 08:35:36.356403 : Epoch  4, Batch    783, Loss  1.191864, Average Loss  1.199189, Time  0.440423
2021-09-27 08:35:42.269789 : Epoch  4, Batch    784, Loss  1.195514, Average Loss  1.199215, Time  0.440587
2021-09-27 08:35:48.191404 : Epoch  4, Batch    785, Loss  1.218655, Average Loss  1.199311, Time  0.454836
2021-09-27 08:35:54.099411 : Epoch  4, Batch    786, Loss  1.198059, Average Loss  1.199281, Time  0.440915
2021-09-27 08:36:00.014309 : Epoch  4, Batch    787, Loss  1.188742, Average Loss  1.199259, Time  0.439012
2021-09-27 08:36:05.926482 : Epoch  4, Batch    788, Loss  1.196995, Average Loss  1.199194, Time  0.442227
2021-09-27 08:36:11.838389 : Epoch  4, Batch    789, Loss  1.198792, Average Loss  1.199267, Time  0.438902
2021-09-27 08:36:17.752811 : Epoch  4, Batch    790, Loss  1.210147, Average Loss  1.199390, Time  0.444197
2021-09-27 08:36:23.667428 : Epoch  4, Batch    791, Loss  1.199409, Average Loss  1.199339, Time  0.439582
2021-09-27 08:36:29.581250 : Epoch  4, Batch    792, Loss  1.212880, Average Loss  1.199416, Time  0.440809
2021-09-27 08:36:35.525873 : Epoch  4, Batch    793, Loss  1.198215, Average Loss  1.199425, Time  0.453453
2021-09-27 08:36:41.440509 : Epoch  4, Batch    794, Loss  1.212550, Average Loss  1.199503, Time  0.439361
2021-09-27 08:36:47.349868 : Epoch  4, Batch    795, Loss  1.185287, Average Loss  1.199385, Time  0.439585
2021-09-27 08:36:53.269840 : Epoch  4, Batch    796, Loss  1.217939, Average Loss  1.199545, Time  0.439332
2021-09-27 08:36:59.182790 : Epoch  4, Batch    797, Loss  1.215828, Average Loss  1.199655, Time  0.441126
2021-09-27 08:37:05.096780 : Epoch  4, Batch    798, Loss  1.191954, Average Loss  1.199697, Time  0.441772
2021-09-27 08:37:10.993490 : Epoch  4, Batch    799, Loss  1.204034, Average Loss  1.199662, Time  0.440555
2021-09-27 08:37:16.911859 : Epoch  4, Batch    800, Loss  1.196741, Average Loss  1.199674, Time  0.441127
2021-09-27 08:37:22.849724 : Epoch  4, Batch    801, Loss  1.199375, Average Loss  1.199661, Time  0.455415
2021-09-27 08:37:28.751683 : Epoch  4, Batch    802, Loss  1.199531, Average Loss  1.199748, Time  0.440169
2021-09-27 08:37:34.661773 : Epoch  4, Batch    803, Loss  1.195509, Average Loss  1.199747, Time  0.439042
2021-09-27 08:37:40.582596 : Epoch  4, Batch    804, Loss  1.195351, Average Loss  1.199589, Time  0.441018
2021-09-27 08:37:46.510717 : Epoch  4, Batch    805, Loss  1.193833, Average Loss  1.199627, Time  0.439038
2021-09-27 08:37:52.441690 : Epoch  4, Batch    806, Loss  1.196832, Average Loss  1.199576, Time  0.441106
2021-09-27 08:37:58.352707 : Epoch  4, Batch    807, Loss  1.192038, Average Loss  1.199589, Time  0.440167
2021-09-27 08:38:04.263224 : Epoch  4, Batch    808, Loss  1.197122, Average Loss  1.199635, Time  0.440427
2021-09-27 08:38:10.189983 : Epoch  4, Batch    809, Loss  1.184425, Average Loss  1.199555, Time  0.455199
2021-09-27 08:38:16.095857 : Epoch  4, Batch    810, Loss  1.204792, Average Loss  1.199628, Time  0.439797
2021-09-27 08:38:22.007899 : Epoch  4, Batch    811, Loss  1.203169, Average Loss  1.199661, Time  0.438935
2021-09-27 08:38:27.919465 : Epoch  4, Batch    812, Loss  1.202462, Average Loss  1.199654, Time  0.441145
2021-09-27 08:38:33.833399 : Epoch  4, Batch    813, Loss  1.199131, Average Loss  1.199619, Time  0.438417
2021-09-27 08:38:39.747008 : Epoch  4, Batch    814, Loss  1.219486, Average Loss  1.199679, Time  0.439678
2021-09-27 08:38:45.669855 : Epoch  4, Batch    815, Loss  1.189860, Average Loss  1.199631, Time  0.438600
2021-09-27 08:38:51.588867 : Epoch  4, Batch    816, Loss  1.217292, Average Loss  1.199711, Time  0.439454
2021-09-27 08:43:30.526521 : CheckPoint: Validation Loss  0.00020827, Best Loss  0.00020394
2021-09-27 08:43:36.503712 : Epoch  4, Batch    817, Loss  1.201945, Average Loss  1.199736, Time  0.443680
2021-09-27 08:43:42.456907 : Epoch  4, Batch    818, Loss  1.211673, Average Loss  1.199940, Time  0.445065
2021-09-27 08:43:48.392218 : Epoch  4, Batch    819, Loss  1.214599, Average Loss  1.200012, Time  0.441988
2021-09-27 08:43:54.339742 : Epoch  4, Batch    820, Loss  1.201739, Average Loss  1.200047, Time  0.443885
2021-09-27 08:44:00.307380 : Epoch  4, Batch    821, Loss  1.196719, Average Loss  1.200072, Time  0.438618
2021-09-27 08:44:06.249318 : Epoch  4, Batch    822, Loss  1.187048, Average Loss  1.199992, Time  0.440552
2021-09-27 08:44:12.234142 : Epoch  4, Batch    823, Loss  1.222639, Average Loss  1.200051, Time  0.453974
2021-09-27 08:44:18.205491 : Epoch  4, Batch    824, Loss  1.204915, Average Loss  1.200175, Time  0.441558
2021-09-27 08:44:24.164880 : Epoch  4, Batch    825, Loss  1.206623, Average Loss  1.200220, Time  0.440256
2021-09-27 08:44:30.124674 : Epoch  4, Batch    826, Loss  1.195160, Average Loss  1.200190, Time  0.439206
2021-09-27 08:44:36.098059 : Epoch  4, Batch    827, Loss  1.192848, Average Loss  1.200138, Time  0.439239
2021-09-27 08:44:42.048782 : Epoch  4, Batch    828, Loss  1.210869, Average Loss  1.200172, Time  0.440694
2021-09-27 08:44:48.015163 : Epoch  4, Batch    829, Loss  1.183810, Average Loss  1.200117, Time  0.439787
2021-09-27 08:44:53.951660 : Epoch  4, Batch    830, Loss  1.200445, Average Loss  1.200120, Time  0.438259
2021-09-27 08:44:59.470032 : Epoch  4, Batch    831, Loss  1.216799, Average Loss  1.200204, Time  0.450560
2021-09-27 08:45:04.794749 : Epoch  4, Batch    832, Loss  1.203533, Average Loss  1.200172, Time  0.435593
2021-09-27 08:45:10.226784 : Epoch  4, Batch    833, Loss  1.201405, Average Loss  1.200197, Time  0.437783
2021-09-27 08:45:15.679118 : Epoch  4, Batch    834, Loss  1.203108, Average Loss  1.200249, Time  0.434810
2021-09-27 08:45:20.945557 : Epoch  4, Batch    835, Loss  1.216251, Average Loss  1.200295, Time  0.435033
2021-09-27 08:45:26.254724 : Epoch  4, Batch    836, Loss  1.218643, Average Loss  1.200392, Time  0.435176
2021-09-27 08:45:31.577719 : Epoch  4, Batch    837, Loss  1.202088, Average Loss  1.200480, Time  0.435293
2021-09-27 08:45:36.896999 : Epoch  4, Batch    838, Loss  1.188898, Average Loss  1.200380, Time  0.437625
2021-09-27 08:45:42.442345 : Epoch  4, Batch    839, Loss  1.202848, Average Loss  1.200433, Time  0.439118
2021-09-27 08:45:47.809786 : Epoch  4, Batch    840, Loss  1.213705, Average Loss  1.200470, Time  0.448170
2021-09-27 08:45:53.158751 : Epoch  4, Batch    841, Loss  1.195228, Average Loss  1.200385, Time  0.435637
2021-09-27 08:45:58.469883 : Epoch  4, Batch    842, Loss  1.206551, Average Loss  1.200464, Time  0.435576
2021-09-27 08:46:03.776442 : Epoch  4, Batch    843, Loss  1.199701, Average Loss  1.200495, Time  0.436013
2021-09-27 08:46:09.090253 : Epoch  4, Batch    844, Loss  1.193628, Average Loss  1.200423, Time  0.435797
2021-09-27 08:46:14.394681 : Epoch  4, Batch    845, Loss  1.177573, Average Loss  1.200405, Time  0.435839
2021-09-27 08:46:19.725296 : Epoch  4, Batch    846, Loss  1.198551, Average Loss  1.200259, Time  0.435611
2021-09-27 08:46:25.075932 : Epoch  4, Batch    847, Loss  1.185849, Average Loss  1.200267, Time  0.435413
2021-09-27 08:46:30.411834 : Epoch  4, Batch    848, Loss  1.192371, Average Loss  1.200155, Time  0.436989
2021-09-27 08:46:36.024825 : Epoch  4, Batch    849, Loss  1.217857, Average Loss  1.200292, Time  0.445440
2021-09-27 08:46:41.711800 : Epoch  4, Batch    850, Loss  1.197783, Average Loss  1.200231, Time  0.438544
2021-09-27 08:46:47.371461 : Epoch  4, Batch    851, Loss  1.195139, Average Loss  1.200158, Time  0.437497
2021-09-27 08:46:53.011224 : Epoch  4, Batch    852, Loss  1.187496, Average Loss  1.200106, Time  0.437854
2021-09-27 08:46:58.649039 : Epoch  4, Batch    853, Loss  1.199859, Average Loss  1.200126, Time  0.437065
2021-09-27 08:47:04.319080 : Epoch  4, Batch    854, Loss  1.194510, Average Loss  1.200063, Time  0.438428
2021-09-27 08:47:09.869378 : Epoch  4, Batch    855, Loss  1.208900, Average Loss  1.200229, Time  0.439149
2021-09-27 08:47:15.187088 : Epoch  4, Batch    856, Loss  1.197692, Average Loss  1.200182, Time  0.435245
2021-09-27 08:47:20.499762 : Epoch  4, Batch    857, Loss  1.201321, Average Loss  1.200136, Time  0.452536
2021-09-27 08:47:25.851928 : Epoch  4, Batch    858, Loss  1.181548, Average Loss  1.200033, Time  0.435210
2021-09-27 08:47:31.163327 : Epoch  4, Batch    859, Loss  1.192003, Average Loss  1.200022, Time  0.435815
2021-09-27 08:47:36.485276 : Epoch  4, Batch    860, Loss  1.197956, Average Loss  1.200061, Time  0.435252
2021-09-27 08:47:41.802898 : Epoch  4, Batch    861, Loss  1.197885, Average Loss  1.200063, Time  0.435235
2021-09-27 08:47:47.154027 : Epoch  4, Batch    862, Loss  1.201695, Average Loss  1.200090, Time  0.435198
2021-09-27 08:47:52.488408 : Epoch  4, Batch    863, Loss  1.219679, Average Loss  1.200199, Time  0.435648
2021-09-27 08:47:57.926854 : Epoch  4, Batch    864, Loss  1.203683, Average Loss  1.200223, Time  0.438513
2021-09-27 08:48:03.623134 : Epoch  4, Batch    865, Loss  1.211682, Average Loss  1.200360, Time  0.449889
2021-09-27 08:48:08.951829 : Epoch  4, Batch    866, Loss  1.212037, Average Loss  1.200373, Time  0.436136
2021-09-27 08:48:14.299065 : Epoch  4, Batch    867, Loss  1.212054, Average Loss  1.200429, Time  0.437443
2021-09-27 08:48:19.621907 : Epoch  4, Batch    868, Loss  1.191304, Average Loss  1.200386, Time  0.435046
2021-09-27 08:48:24.929439 : Epoch  4, Batch    869, Loss  1.215016, Average Loss  1.200450, Time  0.434938
2021-09-27 08:48:30.220060 : Epoch  4, Batch    870, Loss  1.182887, Average Loss  1.200338, Time  0.434953
2021-09-27 08:48:35.501808 : Epoch  4, Batch    871, Loss  1.186128, Average Loss  1.200259, Time  0.435565
2021-09-27 08:48:40.792530 : Epoch  4, Batch    872, Loss  1.200211, Average Loss  1.200215, Time  0.437959
2021-09-27 08:48:46.450246 : Epoch  4, Batch    873, Loss  1.210870, Average Loss  1.200238, Time  0.438146
2021-09-27 08:48:51.773848 : Epoch  4, Batch    874, Loss  1.207519, Average Loss  1.200247, Time  0.450796
2021-09-27 08:48:57.428142 : Epoch  4, Batch    875, Loss  1.207954, Average Loss  1.200234, Time  0.437967
2021-09-27 08:49:03.110703 : Epoch  4, Batch    876, Loss  1.216436, Average Loss  1.200265, Time  0.438490
2021-09-27 08:49:08.691848 : Epoch  4, Batch    877, Loss  1.179740, Average Loss  1.200244, Time  0.439780
2021-09-27 08:49:14.301344 : Epoch  4, Batch    878, Loss  1.200339, Average Loss  1.200204, Time  0.439599
2021-09-27 08:49:19.855216 : Epoch  4, Batch    879, Loss  1.192512, Average Loss  1.200205, Time  0.438402
2021-09-27 08:49:25.535550 : Epoch  4, Batch    880, Loss  1.197870, Average Loss  1.200233, Time  0.436704
2021-09-27 08:49:31.091434 : Epoch  4, Batch    881, Loss  1.202185, Average Loss  1.200231, Time  0.437260
2021-09-27 08:49:36.582659 : Epoch  4, Batch    882, Loss  1.201957, Average Loss  1.200289, Time  0.452299
2021-09-27 08:49:42.225878 : Epoch  4, Batch    883, Loss  1.193299, Average Loss  1.200216, Time  0.436660
2021-09-27 08:49:47.834357 : Epoch  4, Batch    884, Loss  1.204355, Average Loss  1.200195, Time  0.439520
2021-09-27 08:49:53.471766 : Epoch  4, Batch    885, Loss  1.191541, Average Loss  1.200165, Time  0.435683
2021-09-27 08:49:59.001704 : Epoch  4, Batch    886, Loss  1.190202, Average Loss  1.200125, Time  0.438998
2021-09-27 08:50:04.760718 : Epoch  4, Batch    887, Loss  1.215735, Average Loss  1.200221, Time  0.436175
2021-09-27 08:50:10.278101 : Epoch  4, Batch    888, Loss  1.196416, Average Loss  1.200170, Time  0.437280
2021-09-27 08:50:15.845960 : Epoch  4, Batch    889, Loss  1.197666, Average Loss  1.200131, Time  0.437762
2021-09-27 08:50:21.468164 : Epoch  4, Batch    890, Loss  1.193659, Average Loss  1.200047, Time  0.436790
2021-09-27 08:50:27.203811 : Epoch  4, Batch    891, Loss  1.194125, Average Loss  1.200072, Time  0.454947
2021-09-27 08:50:32.822816 : Epoch  4, Batch    892, Loss  1.210972, Average Loss  1.200135, Time  0.438346
2021-09-27 08:50:38.396173 : Epoch  4, Batch    893, Loss  1.190077, Average Loss  1.200150, Time  0.438713
2021-09-27 08:50:44.096164 : Epoch  4, Batch    894, Loss  1.195439, Average Loss  1.200138, Time  0.439804
2021-09-27 08:50:49.707048 : Epoch  4, Batch    895, Loss  1.190766, Average Loss  1.200095, Time  0.441131
2021-09-27 08:50:55.376063 : Epoch  4, Batch    896, Loss  1.193328, Average Loss  1.200153, Time  0.437965
2021-09-27 08:51:01.000447 : Epoch  4, Batch    897, Loss  1.187709, Average Loss  1.200128, Time  0.437261
2021-09-27 08:51:06.292233 : Epoch  4, Batch    898, Loss  1.173029, Average Loss  1.200006, Time  0.436896
2021-09-27 08:51:11.991982 : Epoch  4, Batch    899, Loss  1.178165, Average Loss  1.199962, Time  0.452984
2021-09-27 08:51:17.693935 : Epoch  4, Batch    900, Loss  1.204727, Average Loss  1.199966, Time  0.436176
2021-09-27 08:51:23.343739 : Epoch  4, Batch    901, Loss  1.214642, Average Loss  1.199982, Time  0.438806
2021-09-27 08:51:29.058872 : Epoch  4, Batch    902, Loss  1.191379, Average Loss  1.199935, Time  0.437615
2021-09-27 08:51:34.777710 : Epoch  4, Batch    903, Loss  1.193194, Average Loss  1.199868, Time  0.438945
2021-09-27 08:51:40.396469 : Epoch  4, Batch    904, Loss  1.200023, Average Loss  1.199876, Time  0.439717
2021-09-27 08:51:46.116418 : Epoch  4, Batch    905, Loss  1.201926, Average Loss  1.199820, Time  0.436856
2021-09-27 08:51:51.821494 : Epoch  4, Batch    906, Loss  1.180889, Average Loss  1.199723, Time  0.439123
2021-09-27 08:51:57.450651 : Epoch  4, Batch    907, Loss  1.197947, Average Loss  1.199651, Time  0.453423
2021-09-27 08:52:03.070296 : Epoch  4, Batch    908, Loss  1.233753, Average Loss  1.199754, Time  0.438737
2021-09-27 08:52:08.544976 : Epoch  4, Batch    909, Loss  1.178745, Average Loss  1.199643, Time  0.436021
2021-09-27 08:52:13.962676 : Epoch  4, Batch    910, Loss  1.189188, Average Loss  1.199652, Time  0.435460
2021-09-27 08:52:19.534005 : Epoch  4, Batch    911, Loss  1.205806, Average Loss  1.199736, Time  0.438817
2021-09-27 08:52:25.099206 : Epoch  4, Batch    912, Loss  1.201776, Average Loss  1.199744, Time  0.437362
2021-09-27 08:52:30.578399 : Epoch  4, Batch    913, Loss  1.211262, Average Loss  1.199768, Time  0.436516
2021-09-27 08:52:36.228427 : Epoch  4, Batch    914, Loss  1.201092, Average Loss  1.199798, Time  0.438690
2021-09-27 08:52:42.011347 : Epoch  4, Batch    915, Loss  1.201082, Average Loss  1.199799, Time  0.447785
2021-09-27 08:52:47.805252 : Epoch  4, Batch    916, Loss  1.188637, Average Loss  1.199711, Time  0.439775
2021-09-27 08:57:12.384228 : CheckPoint: Validation Loss  0.00021265, Best Loss  0.00020394
2021-09-27 08:57:18.095481 : Epoch  4, Batch    917, Loss  1.200297, Average Loss  1.199743, Time  0.438521
2021-09-27 08:57:23.688967 : Epoch  4, Batch    918, Loss  1.183385, Average Loss  1.199542, Time  0.435832
2021-09-27 08:57:29.119739 : Epoch  4, Batch    919, Loss  1.201700, Average Loss  1.199441, Time  0.446364
2021-09-27 08:57:34.711113 : Epoch  4, Batch    920, Loss  1.198219, Average Loss  1.199502, Time  0.439014
2021-09-27 08:57:40.371439 : Epoch  4, Batch    921, Loss  1.198472, Average Loss  1.199504, Time  0.437198
2021-09-27 08:57:45.930973 : Epoch  4, Batch    922, Loss  1.191643, Average Loss  1.199485, Time  0.438824
2021-09-27 08:57:51.495666 : Epoch  4, Batch    923, Loss  1.211630, Average Loss  1.199475, Time  0.438612
2021-09-27 08:57:56.984909 : Epoch  4, Batch    924, Loss  1.182496, Average Loss  1.199428, Time  0.437888
2021-09-27 08:58:02.547372 : Epoch  4, Batch    925, Loss  1.211060, Average Loss  1.199504, Time  0.436276
2021-09-27 08:58:08.168186 : Epoch  4, Batch    926, Loss  1.199372, Average Loss  1.199578, Time  0.439021
2021-09-27 08:58:13.811152 : Epoch  4, Batch    927, Loss  1.184666, Average Loss  1.199491, Time  0.452240
2021-09-27 08:58:19.384689 : Epoch  4, Batch    928, Loss  1.198108, Average Loss  1.199577, Time  0.439625
2021-09-27 08:58:19.409189 : Saving Model after 4-th Epoch.
2021-09-27 08:58:20.205541 : Epoch Finished.
2021-09-27 08:58:25.932944 : Batch Shuffled
2021-09-27 08:58:31.589143 : Epoch  5, Batch      1, Loss  1.186248, Average Loss  1.199487, Time  0.438479
2021-09-27 08:58:37.313000 : Epoch  5, Batch      2, Loss  1.191169, Average Loss  1.199443, Time  0.438370
2021-09-27 08:58:43.017097 : Epoch  5, Batch      3, Loss  1.194280, Average Loss  1.199448, Time  0.438621
2021-09-27 08:58:48.607044 : Epoch  5, Batch      4, Loss  1.199465, Average Loss  1.199486, Time  0.438199
2021-09-27 08:58:54.174319 : Epoch  5, Batch      5, Loss  1.223010, Average Loss  1.199610, Time  0.437740
2021-09-27 08:58:59.860341 : Epoch  5, Batch      6, Loss  1.185073, Average Loss  1.199507, Time  0.448389
2021-09-27 08:59:05.502805 : Epoch  5, Batch      7, Loss  1.214923, Average Loss  1.199587, Time  0.438784
2021-09-27 08:59:11.001386 : Epoch  5, Batch      8, Loss  1.199319, Average Loss  1.199502, Time  0.435765
2021-09-27 08:59:16.501612 : Epoch  5, Batch      9, Loss  1.200408, Average Loss  1.199528, Time  0.435862
2021-09-27 08:59:21.912132 : Epoch  5, Batch     10, Loss  1.188579, Average Loss  1.199562, Time  0.437973
2021-09-27 08:59:27.508250 : Epoch  5, Batch     11, Loss  1.201271, Average Loss  1.199536, Time  0.439234
2021-09-27 08:59:33.197515 : Epoch  5, Batch     12, Loss  1.183032, Average Loss  1.199459, Time  0.439180
2021-09-27 08:59:38.914123 : Epoch  5, Batch     13, Loss  1.189025, Average Loss  1.199464, Time  0.439642
2021-09-27 08:59:44.627072 : Epoch  5, Batch     14, Loss  1.192034, Average Loss  1.199408, Time  0.439578
2021-09-27 08:59:50.164566 : Epoch  5, Batch     15, Loss  1.200420, Average Loss  1.199447, Time  0.445266
2021-09-27 08:59:55.568898 : Epoch  5, Batch     16, Loss  1.216716, Average Loss  1.199448, Time  0.437252
2021-09-27 09:00:01.006306 : Epoch  5, Batch     17, Loss  1.203598, Average Loss  1.199410, Time  0.437549
2021-09-27 09:00:06.529418 : Epoch  5, Batch     18, Loss  1.220297, Average Loss  1.199587, Time  0.438369
2021-09-27 09:00:12.249702 : Epoch  5, Batch     19, Loss  1.195464, Average Loss  1.199584, Time  0.437972
2021-09-27 09:00:17.808754 : Epoch  5, Batch     20, Loss  1.203653, Average Loss  1.199630, Time  0.437114
2021-09-27 09:00:23.181998 : Epoch  5, Batch     21, Loss  1.208913, Average Loss  1.199689, Time  0.439214
2021-09-27 09:00:28.811026 : Epoch  5, Batch     22, Loss  1.190512, Average Loss  1.199675, Time  0.438388
2021-09-27 09:00:34.517469 : Epoch  5, Batch     23, Loss  1.184563, Average Loss  1.199618, Time  0.451326
2021-09-27 09:00:40.061225 : Epoch  5, Batch     24, Loss  1.201422, Average Loss  1.199609, Time  0.440075
2021-09-27 09:00:45.573004 : Epoch  5, Batch     25, Loss  1.203201, Average Loss  1.199707, Time  0.438017
2021-09-27 09:00:51.226492 : Epoch  5, Batch     26, Loss  1.196756, Average Loss  1.199601, Time  0.439072
2021-09-27 09:00:56.817095 : Epoch  5, Batch     27, Loss  1.212017, Average Loss  1.199622, Time  0.437027
2021-09-27 09:01:02.401494 : Epoch  5, Batch     28, Loss  1.196515, Average Loss  1.199573, Time  0.437052
2021-09-27 09:01:07.819667 : Epoch  5, Batch     29, Loss  1.207802, Average Loss  1.199616, Time  0.437285
2021-09-27 09:01:13.250246 : Epoch  5, Batch     30, Loss  1.195378, Average Loss  1.199674, Time  0.437835
2021-09-27 09:01:18.914129 : Epoch  5, Batch     31, Loss  1.208302, Average Loss  1.199784, Time  0.440510
2021-09-27 09:01:24.481828 : Epoch  5, Batch     32, Loss  1.194310, Average Loss  1.199767, Time  0.453031
2021-09-27 09:01:29.998166 : Epoch  5, Batch     33, Loss  1.187066, Average Loss  1.199686, Time  0.439863
2021-09-27 09:01:35.739569 : Epoch  5, Batch     34, Loss  1.197616, Average Loss  1.199693, Time  0.438958
2021-09-27 09:01:41.241207 : Epoch  5, Batch     35, Loss  1.209364, Average Loss  1.199732, Time  0.435908
2021-09-27 09:01:46.712401 : Epoch  5, Batch     36, Loss  1.217745, Average Loss  1.199787, Time  0.435353
2021-09-27 09:01:52.096329 : Epoch  5, Batch     37, Loss  1.205444, Average Loss  1.199794, Time  0.439264
2021-09-27 09:01:57.477084 : Epoch  5, Batch     38, Loss  1.230673, Average Loss  1.199959, Time  0.435919
2021-09-27 09:02:02.839939 : Epoch  5, Batch     39, Loss  1.199592, Average Loss  1.200055, Time  0.436385
2021-09-27 09:02:08.239480 : Epoch  5, Batch     40, Loss  1.195551, Average Loss  1.200020, Time  0.437892
2021-09-27 09:02:13.855804 : Epoch  5, Batch     41, Loss  1.197605, Average Loss  1.199964, Time  0.451553
2021-09-27 09:02:19.418534 : Epoch  5, Batch     42, Loss  1.203165, Average Loss  1.199953, Time  0.438955
2021-09-27 09:02:25.082842 : Epoch  5, Batch     43, Loss  1.208011, Average Loss  1.200012, Time  0.439175
2021-09-27 09:02:30.789147 : Epoch  5, Batch     44, Loss  1.184375, Average Loss  1.199863, Time  0.437007
2021-09-27 09:02:36.288156 : Epoch  5, Batch     45, Loss  1.190853, Average Loss  1.199828, Time  0.436074
2021-09-27 09:02:41.702432 : Epoch  5, Batch     46, Loss  1.199017, Average Loss  1.199791, Time  0.438071
2021-09-27 09:02:47.397855 : Epoch  5, Batch     47, Loss  1.207749, Average Loss  1.199884, Time  0.438787
2021-09-27 09:02:53.152069 : Epoch  5, Batch     48, Loss  1.192009, Average Loss  1.199800, Time  0.438590
2021-09-27 09:02:58.657616 : Epoch  5, Batch     49, Loss  1.210073, Average Loss  1.199880, Time  0.449572
2021-09-27 09:03:04.367852 : Epoch  5, Batch     50, Loss  1.200867, Average Loss  1.199873, Time  0.440136
2021-09-27 09:03:09.893950 : Epoch  5, Batch     51, Loss  1.201498, Average Loss  1.199913, Time  0.437024
2021-09-27 09:03:15.470813 : Epoch  5, Batch     52, Loss  1.208122, Average Loss  1.199978, Time  0.437968
2021-09-27 09:03:21.096610 : Epoch  5, Batch     53, Loss  1.190400, Average Loss  1.199946, Time  0.438924
2021-09-27 09:03:26.659965 : Epoch  5, Batch     54, Loss  1.217934, Average Loss  1.199956, Time  0.440383
2021-09-27 09:03:32.344734 : Epoch  5, Batch     55, Loss  1.192009, Average Loss  1.199957, Time  0.438748
2021-09-27 09:03:37.894283 : Epoch  5, Batch     56, Loss  1.195011, Average Loss  1.199955, Time  0.439926
2021-09-27 09:03:43.560392 : Epoch  5, Batch     57, Loss  1.214882, Average Loss  1.199936, Time  0.438198
2021-09-27 09:03:49.130730 : Epoch  5, Batch     58, Loss  1.187257, Average Loss  1.199882, Time  0.448589
2021-09-27 09:03:54.652634 : Epoch  5, Batch     59, Loss  1.212201, Average Loss  1.199999, Time  0.439198
2021-09-27 09:04:00.261676 : Epoch  5, Batch     60, Loss  1.190299, Average Loss  1.199966, Time  0.438908
2021-09-27 09:04:05.950414 : Epoch  5, Batch     61, Loss  1.194353, Average Loss  1.199943, Time  0.436497
2021-09-27 09:04:11.567398 : Epoch  5, Batch     62, Loss  1.193704, Average Loss  1.199861, Time  0.439732
2021-09-27 09:04:17.291837 : Epoch  5, Batch     63, Loss  1.205971, Average Loss  1.199894, Time  0.438909
2021-09-27 09:04:22.996235 : Epoch  5, Batch     64, Loss  1.203884, Average Loss  1.199849, Time  0.439572
2021-09-27 09:04:28.670135 : Epoch  5, Batch     65, Loss  1.212850, Average Loss  1.199922, Time  0.438988
2021-09-27 09:04:34.170296 : Epoch  5, Batch     66, Loss  1.212100, Average Loss  1.199920, Time  0.454694
2021-09-27 09:04:39.715904 : Epoch  5, Batch     67, Loss  1.198855, Average Loss  1.199988, Time  0.436384
2021-09-27 09:04:45.196945 : Epoch  5, Batch     68, Loss  1.191318, Average Loss  1.199855, Time  0.439899
2021-09-27 09:04:50.919772 : Epoch  5, Batch     69, Loss  1.190105, Average Loss  1.199726, Time  0.439275
2021-09-27 09:04:56.663046 : Epoch  5, Batch     70, Loss  1.195271, Average Loss  1.199743, Time  0.439648
2021-09-27 09:05:02.218558 : Epoch  5, Batch     71, Loss  1.198379, Average Loss  1.199714, Time  0.437853
2021-09-27 09:05:07.835712 : Epoch  5, Batch     72, Loss  1.205212, Average Loss  1.199757, Time  0.438859
2021-09-27 09:05:13.493113 : Epoch  5, Batch     73, Loss  1.188251, Average Loss  1.199701, Time  0.439112
2021-09-27 09:05:19.174996 : Epoch  5, Batch     74, Loss  1.188564, Average Loss  1.199646, Time  0.450560
2021-09-27 09:05:24.829429 : Epoch  5, Batch     75, Loss  1.172940, Average Loss  1.199533, Time  0.441088
2021-09-27 09:05:30.540769 : Epoch  5, Batch     76, Loss  1.199869, Average Loss  1.199556, Time  0.439319
2021-09-27 09:05:36.191235 : Epoch  5, Batch     77, Loss  1.188625, Average Loss  1.199530, Time  0.439764
2021-09-27 09:05:41.647501 : Epoch  5, Batch     78, Loss  1.201936, Average Loss  1.199555, Time  0.437484
2021-09-27 09:05:47.247890 : Epoch  5, Batch     79, Loss  1.190182, Average Loss  1.199546, Time  0.437772
2021-09-27 09:05:52.852278 : Epoch  5, Batch     80, Loss  1.211363, Average Loss  1.199617, Time  0.438202
2021-09-27 09:05:58.493046 : Epoch  5, Batch     81, Loss  1.187327, Average Loss  1.199632, Time  0.437281
2021-09-27 09:06:04.096654 : Epoch  5, Batch     82, Loss  1.203362, Average Loss  1.199625, Time  0.452818
2021-09-27 09:06:09.776398 : Epoch  5, Batch     83, Loss  1.200990, Average Loss  1.199614, Time  0.436773
2021-09-27 09:06:15.273944 : Epoch  5, Batch     84, Loss  1.197505, Average Loss  1.199589, Time  0.436970
2021-09-27 09:06:20.965331 : Epoch  5, Batch     85, Loss  1.202149, Average Loss  1.199604, Time  0.437202
2021-09-27 09:06:26.474317 : Epoch  5, Batch     86, Loss  1.200574, Average Loss  1.199510, Time  0.437155
2021-09-27 09:06:32.039961 : Epoch  5, Batch     87, Loss  1.197095, Average Loss  1.199546, Time  0.436967
2021-09-27 09:06:37.543360 : Epoch  5, Batch     88, Loss  1.177503, Average Loss  1.199347, Time  0.437304
2021-09-27 09:11:02.615755 : CheckPoint: Validation Loss  0.00021259, Best Loss  0.00020394
2021-09-27 09:11:08.275123 : Epoch  5, Batch     89, Loss  1.207656, Average Loss  1.199375, Time  0.439007
2021-09-27 09:11:13.693462 : Epoch  5, Batch     90, Loss  1.190529, Average Loss  1.199270, Time  0.435424
2021-09-27 09:11:19.012858 : Epoch  5, Batch     91, Loss  1.198647, Average Loss  1.199190, Time  0.435458
2021-09-27 09:11:24.610559 : Epoch  5, Batch     92, Loss  1.197782, Average Loss  1.199170, Time  0.438643
2021-09-27 09:11:30.269390 : Epoch  5, Batch     93, Loss  1.209411, Average Loss  1.199234, Time  0.445635
2021-09-27 09:11:35.712659 : Epoch  5, Batch     94, Loss  1.202398, Average Loss  1.199310, Time  0.438227
2021-09-27 09:11:41.237524 : Epoch  5, Batch     95, Loss  1.199324, Average Loss  1.199194, Time  0.437203
2021-09-27 09:11:46.510766 : Epoch  5, Batch     96, Loss  1.205953, Average Loss  1.199199, Time  0.435614
2021-09-27 09:11:51.773362 : Epoch  5, Batch     97, Loss  1.204140, Average Loss  1.199187, Time  0.435199
2021-09-27 09:11:57.020157 : Epoch  5, Batch     98, Loss  1.192809, Average Loss  1.199175, Time  0.435457
2021-09-27 09:12:02.278752 : Epoch  5, Batch     99, Loss  1.189154, Average Loss  1.199156, Time  0.435809
2021-09-27 09:12:07.562064 : Epoch  5, Batch    100, Loss  1.185776, Average Loss  1.199031, Time  0.435597
2021-09-27 09:12:12.833994 : Epoch  5, Batch    101, Loss  1.206695, Average Loss  1.199145, Time  0.438463
2021-09-27 09:12:18.122023 : Epoch  5, Batch    102, Loss  1.200296, Average Loss  1.199145, Time  0.450725
2021-09-27 09:12:23.383140 : Epoch  5, Batch    103, Loss  1.186134, Average Loss  1.198991, Time  0.435235
2021-09-27 09:12:28.664789 : Epoch  5, Batch    104, Loss  1.205912, Average Loss  1.199003, Time  0.435978
2021-09-27 09:12:34.044755 : Epoch  5, Batch    105, Loss  1.195367, Average Loss  1.198973, Time  0.436201
2021-09-27 09:12:39.330787 : Epoch  5, Batch    106, Loss  1.194229, Average Loss  1.198929, Time  0.436401
2021-09-27 09:12:44.608789 : Epoch  5, Batch    107, Loss  1.197834, Average Loss  1.198836, Time  0.435892
2021-09-27 09:12:49.892472 : Epoch  5, Batch    108, Loss  1.219092, Average Loss  1.198839, Time  0.436106
2021-09-27 09:12:55.751086 : Epoch  5, Batch    109, Loss  1.194485, Average Loss  1.198801, Time  0.440099
2021-09-27 09:13:01.667400 : Epoch  5, Batch    110, Loss  1.189557, Average Loss  1.198804, Time  0.452573
2021-09-27 09:13:07.571744 : Epoch  5, Batch    111, Loss  1.207213, Average Loss  1.198826, Time  0.439796
2021-09-27 09:13:13.475820 : Epoch  5, Batch    112, Loss  1.212052, Average Loss  1.198818, Time  0.439051
2021-09-27 09:13:17.845591 : Epoch  5, Batch    113, Loss  1.169476, Average Loss  1.198689, Time  0.342737
2021-09-27 09:13:23.731700 : Epoch  5, Batch    114, Loss  1.189850, Average Loss  1.198605, Time  0.440930
2021-09-27 09:13:29.626037 : Epoch  5, Batch    115, Loss  1.201543, Average Loss  1.198614, Time  0.438666
2021-09-27 09:13:35.517458 : Epoch  5, Batch    116, Loss  1.199366, Average Loss  1.198643, Time  0.440744
2021-09-27 09:13:41.418736 : Epoch  5, Batch    117, Loss  1.198235, Average Loss  1.198746, Time  0.439231
2021-09-27 09:13:47.327627 : Epoch  5, Batch    118, Loss  1.188591, Average Loss  1.198697, Time  0.456929
2021-09-27 09:13:53.231813 : Epoch  5, Batch    119, Loss  1.195650, Average Loss  1.198746, Time  0.438778
2021-09-27 09:13:59.126194 : Epoch  5, Batch    120, Loss  1.196916, Average Loss  1.198768, Time  0.440117
2021-09-27 09:14:05.029835 : Epoch  5, Batch    121, Loss  1.190521, Average Loss  1.198632, Time  0.439507
2021-09-27 09:14:10.919264 : Epoch  5, Batch    122, Loss  1.215756, Average Loss  1.198722, Time  0.440616
2021-09-27 09:14:16.804885 : Epoch  5, Batch    123, Loss  1.192192, Average Loss  1.198707, Time  0.439667
2021-09-27 09:14:22.697726 : Epoch  5, Batch    124, Loss  1.188032, Average Loss  1.198710, Time  0.439026
2021-09-27 09:14:28.578893 : Epoch  5, Batch    125, Loss  1.203766, Average Loss  1.198729, Time  0.439102
2021-09-27 09:14:34.488828 : Epoch  5, Batch    126, Loss  1.206282, Average Loss  1.198788, Time  0.455313
2021-09-27 09:14:40.382418 : Epoch  5, Batch    127, Loss  1.196638, Average Loss  1.198727, Time  0.440274
2021-09-27 09:14:46.273287 : Epoch  5, Batch    128, Loss  1.197842, Average Loss  1.198727, Time  0.444149
2021-09-27 09:14:52.170027 : Epoch  5, Batch    129, Loss  1.198338, Average Loss  1.198712, Time  0.442792
2021-09-27 09:14:58.080626 : Epoch  5, Batch    130, Loss  1.185819, Average Loss  1.198734, Time  0.440977
2021-09-27 09:15:03.992840 : Epoch  5, Batch    131, Loss  1.194955, Average Loss  1.198749, Time  0.444891
2021-09-27 09:15:09.910511 : Epoch  5, Batch    132, Loss  1.199797, Average Loss  1.198758, Time  0.442361
2021-09-27 09:15:15.795166 : Epoch  5, Batch    133, Loss  1.188117, Average Loss  1.198709, Time  0.439441
2021-09-27 09:15:21.709114 : Epoch  5, Batch    134, Loss  1.209319, Average Loss  1.198747, Time  0.451539
2021-09-27 09:15:27.611738 : Epoch  5, Batch    135, Loss  1.217252, Average Loss  1.198735, Time  0.441113
2021-09-27 09:15:33.517894 : Epoch  5, Batch    136, Loss  1.213874, Average Loss  1.198786, Time  0.438787
2021-09-27 09:15:39.418318 : Epoch  5, Batch    137, Loss  1.174767, Average Loss  1.198601, Time  0.438606
2021-09-27 09:15:45.321999 : Epoch  5, Batch    138, Loss  1.195972, Average Loss  1.198521, Time  0.440868
2021-09-27 09:15:51.234462 : Epoch  5, Batch    139, Loss  1.200649, Average Loss  1.198464, Time  0.440606
2021-09-27 09:15:57.135973 : Epoch  5, Batch    140, Loss  1.186865, Average Loss  1.198442, Time  0.440079
2021-09-27 09:16:03.034732 : Epoch  5, Batch    141, Loss  1.200332, Average Loss  1.198368, Time  0.441243
2021-09-27 09:16:08.956916 : Epoch  5, Batch    142, Loss  1.211715, Average Loss  1.198512, Time  0.454057
2021-09-27 09:16:14.860790 : Epoch  5, Batch    143, Loss  1.191203, Average Loss  1.198538, Time  0.443244
2021-09-27 09:16:20.764049 : Epoch  5, Batch    144, Loss  1.195965, Average Loss  1.198517, Time  0.439782
2021-09-27 09:16:26.661507 : Epoch  5, Batch    145, Loss  1.196573, Average Loss  1.198445, Time  0.438681
2021-09-27 09:16:32.566866 : Epoch  5, Batch    146, Loss  1.194439, Average Loss  1.198380, Time  0.438737
2021-09-27 09:16:38.503777 : Epoch  5, Batch    147, Loss  1.199264, Average Loss  1.198336, Time  0.439761
2021-09-27 09:16:44.400196 : Epoch  5, Batch    148, Loss  1.187255, Average Loss  1.198190, Time  0.439160
2021-09-27 09:16:50.311661 : Epoch  5, Batch    149, Loss  1.198818, Average Loss  1.198286, Time  0.439421
2021-09-27 09:16:56.236549 : Epoch  5, Batch    150, Loss  1.201401, Average Loss  1.198291, Time  0.453432
2021-09-27 09:17:02.145775 : Epoch  5, Batch    151, Loss  1.204533, Average Loss  1.198351, Time  0.438927
2021-09-27 09:17:08.041360 : Epoch  5, Batch    152, Loss  1.202963, Average Loss  1.198377, Time  0.441033
2021-09-27 09:17:13.930610 : Epoch  5, Batch    153, Loss  1.205170, Average Loss  1.198392, Time  0.440309
2021-09-27 09:17:19.838249 : Epoch  5, Batch    154, Loss  1.183826, Average Loss  1.198301, Time  0.442146
2021-09-27 09:17:25.735054 : Epoch  5, Batch    155, Loss  1.186703, Average Loss  1.198268, Time  0.439089
2021-09-27 09:17:31.633807 : Epoch  5, Batch    156, Loss  1.200948, Average Loss  1.198251, Time  0.442938
2021-09-27 09:17:37.525518 : Epoch  5, Batch    157, Loss  1.217404, Average Loss  1.198380, Time  0.439424
2021-09-27 09:17:43.434287 : Epoch  5, Batch    158, Loss  1.200065, Average Loss  1.198430, Time  0.447737
2021-09-27 09:17:49.347131 : Epoch  5, Batch    159, Loss  1.207900, Average Loss  1.198390, Time  0.441421
2021-09-27 09:17:55.278722 : Epoch  5, Batch    160, Loss  1.208163, Average Loss  1.198449, Time  0.441606
2021-09-27 09:18:01.180207 : Epoch  5, Batch    161, Loss  1.188127, Average Loss  1.198401, Time  0.440560
2021-09-27 09:18:07.101224 : Epoch  5, Batch    162, Loss  1.203426, Average Loss  1.198450, Time  0.440946
2021-09-27 09:18:12.991239 : Epoch  5, Batch    163, Loss  1.200333, Average Loss  1.198481, Time  0.439916
2021-09-27 09:18:18.887565 : Epoch  5, Batch    164, Loss  1.205463, Average Loss  1.198454, Time  0.438724
2021-09-27 09:18:24.783857 : Epoch  5, Batch    165, Loss  1.209951, Average Loss  1.198553, Time  0.440978
2021-09-27 09:18:30.698325 : Epoch  5, Batch    166, Loss  1.208438, Average Loss  1.198618, Time  0.454549
2021-09-27 09:18:36.616344 : Epoch  5, Batch    167, Loss  1.212796, Average Loss  1.198728, Time  0.439847
2021-09-27 09:18:42.529178 : Epoch  5, Batch    168, Loss  1.212522, Average Loss  1.198824, Time  0.441112
2021-09-27 09:18:48.436628 : Epoch  5, Batch    169, Loss  1.188994, Average Loss  1.198831, Time  0.442384
2021-09-27 09:18:54.339561 : Epoch  5, Batch    170, Loss  1.204907, Average Loss  1.198990, Time  0.440669
2021-09-27 09:19:00.240089 : Epoch  5, Batch    171, Loss  1.197277, Average Loss  1.199086, Time  0.439624
2021-09-27 09:19:06.128742 : Epoch  5, Batch    172, Loss  1.195786, Average Loss  1.199041, Time  0.440791
2021-09-27 09:19:12.030638 : Epoch  5, Batch    173, Loss  1.199201, Average Loss  1.198964, Time  0.439236
2021-09-27 09:19:17.947248 : Epoch  5, Batch    174, Loss  1.210608, Average Loss  1.199060, Time  0.454942
2021-09-27 09:19:23.854474 : Epoch  5, Batch    175, Loss  1.191715, Average Loss  1.199052, Time  0.441372
2021-09-27 09:19:29.751736 : Epoch  5, Batch    176, Loss  1.183022, Average Loss  1.198967, Time  0.439220
2021-09-27 09:19:35.642964 : Epoch  5, Batch    177, Loss  1.207591, Average Loss  1.198996, Time  0.438494
2021-09-27 09:19:41.545484 : Epoch  5, Batch    178, Loss  1.185715, Average Loss  1.199020, Time  0.440584
2021-09-27 09:19:47.445447 : Epoch  5, Batch    179, Loss  1.204081, Average Loss  1.199051, Time  0.440049
2021-09-27 09:19:53.351387 : Epoch  5, Batch    180, Loss  1.193577, Average Loss  1.198850, Time  0.438702
2021-09-27 09:19:59.253384 : Epoch  5, Batch    181, Loss  1.185536, Average Loss  1.198884, Time  0.439281
2021-09-27 09:20:05.167235 : Epoch  5, Batch    182, Loss  1.195590, Average Loss  1.198916, Time  0.448230
2021-09-27 09:20:11.079113 : Epoch  5, Batch    183, Loss  1.193269, Average Loss  1.198853, Time  0.440377
2021-09-27 09:20:16.971419 : Epoch  5, Batch    184, Loss  1.182884, Average Loss  1.198758, Time  0.441154
2021-09-27 09:20:22.866793 : Epoch  5, Batch    185, Loss  1.199432, Average Loss  1.198699, Time  0.439517
2021-09-27 09:20:28.775386 : Epoch  5, Batch    186, Loss  1.184956, Average Loss  1.198619, Time  0.446144
2021-09-27 09:20:34.662056 : Epoch  5, Batch    187, Loss  1.200125, Average Loss  1.198614, Time  0.440130
2021-09-27 09:20:40.561379 : Epoch  5, Batch    188, Loss  1.202027, Average Loss  1.198681, Time  0.438972
2021-09-27 09:25:17.090998 : CheckPoint: Validation Loss  0.00020590, Best Loss  0.00020394
2021-09-27 09:25:22.991776 : Epoch  5, Batch    189, Loss  1.185734, Average Loss  1.198608, Time  0.443153
2021-09-27 09:25:28.906200 : Epoch  5, Batch    190, Loss  1.178384, Average Loss  1.198583, Time  0.455119
2021-09-27 09:25:34.823795 : Epoch  5, Batch    191, Loss  1.177299, Average Loss  1.198461, Time  0.441612
2021-09-27 09:25:40.741299 : Epoch  5, Batch    192, Loss  1.212093, Average Loss  1.198530, Time  0.440013
2021-09-27 09:25:46.651962 : Epoch  5, Batch    193, Loss  1.203982, Average Loss  1.198558, Time  0.438882
2021-09-27 09:25:52.556813 : Epoch  5, Batch    194, Loss  1.207450, Average Loss  1.198637, Time  0.439244
2021-09-27 09:25:58.479324 : Epoch  5, Batch    195, Loss  1.205321, Average Loss  1.198605, Time  0.442859
2021-09-27 09:26:04.401577 : Epoch  5, Batch    196, Loss  1.204158, Average Loss  1.198714, Time  0.441381
2021-09-27 09:26:10.321745 : Epoch  5, Batch    197, Loss  1.194242, Average Loss  1.198630, Time  0.448181
2021-09-27 09:26:16.230416 : Epoch  5, Batch    198, Loss  1.205130, Average Loss  1.198658, Time  0.441717
2021-09-27 09:26:22.156229 : Epoch  5, Batch    199, Loss  1.205544, Average Loss  1.198763, Time  0.441498
2021-09-27 09:26:28.069193 : Epoch  5, Batch    200, Loss  1.204667, Average Loss  1.198796, Time  0.439162
2021-09-27 09:26:33.983823 : Epoch  5, Batch    201, Loss  1.189993, Average Loss  1.198814, Time  0.441733
2021-09-27 09:26:39.902149 : Epoch  5, Batch    202, Loss  1.207903, Average Loss  1.198898, Time  0.440504
2021-09-27 09:26:45.812560 : Epoch  5, Batch    203, Loss  1.193845, Average Loss  1.198896, Time  0.442002
2021-09-27 09:26:51.723825 : Epoch  5, Batch    204, Loss  1.214869, Average Loss  1.198973, Time  0.441104
2021-09-27 09:26:57.658740 : Epoch  5, Batch    205, Loss  1.183042, Average Loss  1.198773, Time  0.461563
2021-09-27 09:27:03.581826 : Epoch  5, Batch    206, Loss  1.197357, Average Loss  1.198834, Time  0.438957
2021-09-27 09:27:09.504810 : Epoch  5, Batch    207, Loss  1.190700, Average Loss  1.198713, Time  0.444105
2021-09-27 09:27:15.415866 : Epoch  5, Batch    208, Loss  1.195567, Average Loss  1.198695, Time  0.442411
2021-09-27 09:27:21.326620 : Epoch  5, Batch    209, Loss  1.191631, Average Loss  1.198651, Time  0.439628
2021-09-27 09:27:27.235049 : Epoch  5, Batch    210, Loss  1.202167, Average Loss  1.198719, Time  0.439551
2021-09-27 09:27:33.141336 : Epoch  5, Batch    211, Loss  1.182980, Average Loss  1.198627, Time  0.441068
2021-09-27 09:27:39.045841 : Epoch  5, Batch    212, Loss  1.194075, Average Loss  1.198682, Time  0.439199
2021-09-27 09:27:44.974950 : Epoch  5, Batch    213, Loss  1.205048, Average Loss  1.198762, Time  0.455071
2021-09-27 09:27:50.882284 : Epoch  5, Batch    214, Loss  1.184797, Average Loss  1.198726, Time  0.438895
2021-09-27 09:27:56.795892 : Epoch  5, Batch    215, Loss  1.202210, Average Loss  1.198735, Time  0.439682
2021-09-27 09:28:02.711752 : Epoch  5, Batch    216, Loss  1.190872, Average Loss  1.198606, Time  0.439537
2021-09-27 09:28:08.622717 : Epoch  5, Batch    217, Loss  1.194110, Average Loss  1.198559, Time  0.440708
2021-09-27 09:28:14.533764 : Epoch  5, Batch    218, Loss  1.205460, Average Loss  1.198484, Time  0.441127
2021-09-27 09:28:20.442700 : Epoch  5, Batch    219, Loss  1.206849, Average Loss  1.198541, Time  0.440000
2021-09-27 09:28:26.347927 : Epoch  5, Batch    220, Loss  1.212770, Average Loss  1.198587, Time  0.439068
2021-09-27 09:28:32.270873 : Epoch  5, Batch    221, Loss  1.192401, Average Loss  1.198504, Time  0.454792
2021-09-27 09:28:38.179346 : Epoch  5, Batch    222, Loss  1.182434, Average Loss  1.198464, Time  0.441915
2021-09-27 09:28:44.086764 : Epoch  5, Batch    223, Loss  1.190001, Average Loss  1.198491, Time  0.439845
2021-09-27 09:28:50.008779 : Epoch  5, Batch    224, Loss  1.196944, Average Loss  1.198469, Time  0.438927
2021-09-27 09:28:55.926000 : Epoch  5, Batch    225, Loss  1.182308, Average Loss  1.198364, Time  0.439701
2021-09-27 09:29:01.841822 : Epoch  5, Batch    226, Loss  1.208074, Average Loss  1.198421, Time  0.439955
2021-09-27 09:29:07.745850 : Epoch  5, Batch    227, Loss  1.214571, Average Loss  1.198434, Time  0.438939
2021-09-27 09:29:13.699670 : Epoch  5, Batch    228, Loss  1.189459, Average Loss  1.198398, Time  0.442244
2021-09-27 09:29:19.637593 : Epoch  5, Batch    229, Loss  1.196224, Average Loss  1.198340, Time  0.450530
2021-09-27 09:29:25.569799 : Epoch  5, Batch    230, Loss  1.209112, Average Loss  1.198409, Time  0.439030
2021-09-27 09:29:31.485472 : Epoch  5, Batch    231, Loss  1.195233, Average Loss  1.198344, Time  0.440632
2021-09-27 09:29:37.414827 : Epoch  5, Batch    232, Loss  1.186787, Average Loss  1.198306, Time  0.440251
2021-09-27 09:29:43.332802 : Epoch  5, Batch    233, Loss  1.202323, Average Loss  1.198382, Time  0.443329
2021-09-27 09:29:49.246963 : Epoch  5, Batch    234, Loss  1.190071, Average Loss  1.198345, Time  0.440900
2021-09-27 09:29:55.169443 : Epoch  5, Batch    235, Loss  1.187784, Average Loss  1.198237, Time  0.440891
2021-09-27 09:30:01.086683 : Epoch  5, Batch    236, Loss  1.200490, Average Loss  1.198151, Time  0.438900
2021-09-27 09:30:07.023608 : Epoch  5, Batch    237, Loss  1.183572, Average Loss  1.198041, Time  0.454989
2021-09-27 09:30:12.936024 : Epoch  5, Batch    238, Loss  1.203769, Average Loss  1.197907, Time  0.442812
2021-09-27 09:30:18.854590 : Epoch  5, Batch    239, Loss  1.185167, Average Loss  1.197835, Time  0.438892
2021-09-27 09:30:24.759608 : Epoch  5, Batch    240, Loss  1.208563, Average Loss  1.197900, Time  0.438466
2021-09-27 09:30:30.680538 : Epoch  5, Batch    241, Loss  1.204032, Average Loss  1.197932, Time  0.439961
2021-09-27 09:30:36.596104 : Epoch  5, Batch    242, Loss  1.202096, Average Loss  1.197926, Time  0.440208
2021-09-27 09:30:42.514755 : Epoch  5, Batch    243, Loss  1.190179, Average Loss  1.197837, Time  0.441085
2021-09-27 09:30:48.425176 : Epoch  5, Batch    244, Loss  1.195894, Average Loss  1.197895, Time  0.440022
2021-09-27 09:30:54.371491 : Epoch  5, Batch    245, Loss  1.202265, Average Loss  1.197952, Time  0.450965
2021-09-27 09:31:00.292277 : Epoch  5, Batch    246, Loss  1.206863, Average Loss  1.197991, Time  0.439784
2021-09-27 09:31:06.201333 : Epoch  5, Batch    247, Loss  1.198590, Average Loss  1.197945, Time  0.439162
2021-09-27 09:31:12.110360 : Epoch  5, Batch    248, Loss  1.208971, Average Loss  1.198030, Time  0.444773
2021-09-27 09:31:18.011929 : Epoch  5, Batch    249, Loss  1.194208, Average Loss  1.197951, Time  0.440407
2021-09-27 09:31:23.923484 : Epoch  5, Batch    250, Loss  1.201966, Average Loss  1.197956, Time  0.440032
2021-09-27 09:31:29.817853 : Epoch  5, Batch    251, Loss  1.193516, Average Loss  1.197916, Time  0.438803
2021-09-27 09:31:35.725948 : Epoch  5, Batch    252, Loss  1.184897, Average Loss  1.197800, Time  0.439501
2021-09-27 09:31:41.647878 : Epoch  5, Batch    253, Loss  1.188600, Average Loss  1.197791, Time  0.451498
2021-09-27 09:31:47.573957 : Epoch  5, Batch    254, Loss  1.196142, Average Loss  1.197682, Time  0.440944
2021-09-27 09:31:53.486503 : Epoch  5, Batch    255, Loss  1.208253, Average Loss  1.197764, Time  0.440086
2021-09-27 09:31:59.404659 : Epoch  5, Batch    256, Loss  1.197688, Average Loss  1.197777, Time  0.440467
2021-09-27 09:32:05.312099 : Epoch  5, Batch    257, Loss  1.197388, Average Loss  1.197689, Time  0.438700
2021-09-27 09:32:11.259602 : Epoch  5, Batch    258, Loss  1.194319, Average Loss  1.197725, Time  0.441402
2021-09-27 09:32:17.167400 : Epoch  5, Batch    259, Loss  1.180875, Average Loss  1.197568, Time  0.441042
2021-09-27 09:32:23.057229 : Epoch  5, Batch    260, Loss  1.201252, Average Loss  1.197623, Time  0.439458
2021-09-27 09:32:28.965836 : Epoch  5, Batch    261, Loss  1.193302, Average Loss  1.197618, Time  0.452164
2021-09-27 09:32:34.862733 : Epoch  5, Batch    262, Loss  1.195403, Average Loss  1.197626, Time  0.439623
2021-09-27 09:32:40.767832 : Epoch  5, Batch    263, Loss  1.205016, Average Loss  1.197621, Time  0.439697
2021-09-27 09:32:46.670815 : Epoch  5, Batch    264, Loss  1.188505, Average Loss  1.197544, Time  0.439802
2021-09-27 09:32:52.570120 : Epoch  5, Batch    265, Loss  1.185984, Average Loss  1.197410, Time  0.439621
2021-09-27 09:32:58.473862 : Epoch  5, Batch    266, Loss  1.194914, Average Loss  1.197324, Time  0.439316
2021-09-27 09:33:04.377841 : Epoch  5, Batch    267, Loss  1.194549, Average Loss  1.197303, Time  0.438731
2021-09-27 09:33:10.294580 : Epoch  5, Batch    268, Loss  1.177447, Average Loss  1.197233, Time  0.439644
2021-09-27 09:33:16.221741 : Epoch  5, Batch    269, Loss  1.196719, Average Loss  1.197266, Time  0.455564
2021-09-27 09:33:22.127219 : Epoch  5, Batch    270, Loss  1.210599, Average Loss  1.197343, Time  0.439651
2021-09-27 09:33:28.044299 : Epoch  5, Batch    271, Loss  1.177700, Average Loss  1.197240, Time  0.438517
2021-09-27 09:33:33.958894 : Epoch  5, Batch    272, Loss  1.200913, Average Loss  1.197218, Time  0.440866
2021-09-27 09:33:39.875118 : Epoch  5, Batch    273, Loss  1.191246, Average Loss  1.197233, Time  0.439610
2021-09-27 09:33:45.787577 : Epoch  5, Batch    274, Loss  1.199890, Average Loss  1.197290, Time  0.440837
2021-09-27 09:33:51.679743 : Epoch  5, Batch    275, Loss  1.183158, Average Loss  1.197341, Time  0.440245
2021-09-27 09:33:57.594462 : Epoch  5, Batch    276, Loss  1.203476, Average Loss  1.197359, Time  0.439090
2021-09-27 09:34:03.507302 : Epoch  5, Batch    277, Loss  1.190806, Average Loss  1.197370, Time  0.453409
2021-09-27 09:34:09.420796 : Epoch  5, Batch    278, Loss  1.188309, Average Loss  1.197302, Time  0.440649
2021-09-27 09:34:15.329804 : Epoch  5, Batch    279, Loss  1.205114, Average Loss  1.197376, Time  0.438598
2021-09-27 09:34:21.226792 : Epoch  5, Batch    280, Loss  1.199164, Average Loss  1.197315, Time  0.441835
2021-09-27 09:34:27.150365 : Epoch  5, Batch    281, Loss  1.197284, Average Loss  1.197365, Time  0.439063
2021-09-27 09:34:33.048906 : Epoch  5, Batch    282, Loss  1.182885, Average Loss  1.197263, Time  0.439710
2021-09-27 09:34:38.935310 : Epoch  5, Batch    283, Loss  1.189247, Average Loss  1.197204, Time  0.438539
2021-09-27 09:34:44.851455 : Epoch  5, Batch    284, Loss  1.203109, Average Loss  1.197232, Time  0.440297
2021-09-27 09:34:50.768785 : Epoch  5, Batch    285, Loss  1.198554, Average Loss  1.197214, Time  0.455487
2021-09-27 09:34:56.668093 : Epoch  5, Batch    286, Loss  1.201997, Average Loss  1.197221, Time  0.441960
2021-09-27 09:35:02.575243 : Epoch  5, Batch    287, Loss  1.178668, Average Loss  1.197129, Time  0.440537
2021-09-27 09:35:13.947115 : Epoch  5, Batch    288, Loss  1.201763, Average Loss  1.197250, Time  0.440739
2021-09-27 09:39:52.892653 : CheckPoint: Validation Loss  0.00021023, Best Loss  0.00020394
2021-09-27 09:39:58.817865 : Epoch  5, Batch    289, Loss  1.206736, Average Loss  1.197246, Time  0.438699
2021-09-27 09:40:04.766313 : Epoch  5, Batch    290, Loss  1.196053, Average Loss  1.197273, Time  0.438910
2021-09-27 09:40:10.708058 : Epoch  5, Batch    291, Loss  1.210281, Average Loss  1.197332, Time  0.452990
2021-09-27 09:40:16.635500 : Epoch  5, Batch    292, Loss  1.196841, Average Loss  1.197327, Time  0.441457
2021-09-27 09:40:22.580734 : Epoch  5, Batch    293, Loss  1.214503, Average Loss  1.197352, Time  0.442912
2021-09-27 09:40:28.507957 : Epoch  5, Batch    294, Loss  1.200962, Average Loss  1.197345, Time  0.440250
2021-09-27 09:40:34.450227 : Epoch  5, Batch    295, Loss  1.200608, Average Loss  1.197352, Time  0.440529
2021-09-27 09:40:40.386846 : Epoch  5, Batch    296, Loss  1.204916, Average Loss  1.197346, Time  0.438932
2021-09-27 09:40:46.345781 : Epoch  5, Batch    297, Loss  1.208471, Average Loss  1.197368, Time  0.439543
2021-09-27 09:40:52.281183 : Epoch  5, Batch    298, Loss  1.201866, Average Loss  1.197413, Time  0.442360
2021-09-27 09:40:58.208441 : Epoch  5, Batch    299, Loss  1.197336, Average Loss  1.197454, Time  0.447357
2021-09-27 09:41:04.132501 : Epoch  5, Batch    300, Loss  1.195680, Average Loss  1.197504, Time  0.440400
2021-09-27 09:41:10.067882 : Epoch  5, Batch    301, Loss  1.197052, Average Loss  1.197455, Time  0.440841
2021-09-27 09:41:16.019807 : Epoch  5, Batch    302, Loss  1.201256, Average Loss  1.197460, Time  0.438864
2021-09-27 09:41:21.943599 : Epoch  5, Batch    303, Loss  1.195609, Average Loss  1.197508, Time  0.438534
2021-09-27 09:41:27.900760 : Epoch  5, Batch    304, Loss  1.202872, Average Loss  1.197492, Time  0.439759
2021-09-27 09:41:33.823032 : Epoch  5, Batch    305, Loss  1.205176, Average Loss  1.197542, Time  0.440261
2021-09-27 09:41:39.774095 : Epoch  5, Batch    306, Loss  1.196631, Average Loss  1.197554, Time  0.442127
2021-09-27 09:41:45.721841 : Epoch  5, Batch    307, Loss  1.178881, Average Loss  1.197459, Time  0.456117
2021-09-27 09:41:51.653307 : Epoch  5, Batch    308, Loss  1.188217, Average Loss  1.197304, Time  0.439834
2021-09-27 09:41:57.612673 : Epoch  5, Batch    309, Loss  1.170912, Average Loss  1.197187, Time  0.441397
2021-09-27 09:42:03.553921 : Epoch  5, Batch    310, Loss  1.190843, Average Loss  1.197193, Time  0.439725
2021-09-27 09:42:09.519300 : Epoch  5, Batch    311, Loss  1.186094, Average Loss  1.197087, Time  0.438858
2021-09-27 09:42:15.477759 : Epoch  5, Batch    312, Loss  1.187492, Average Loss  1.196965, Time  0.438672
2021-09-27 09:42:21.461125 : Epoch  5, Batch    313, Loss  1.197756, Average Loss  1.197106, Time  0.441788
2021-09-27 09:42:27.408806 : Epoch  5, Batch    314, Loss  1.189596, Average Loss  1.197105, Time  0.453130
2021-09-27 09:42:33.349277 : Epoch  5, Batch    315, Loss  1.203678, Average Loss  1.197115, Time  0.440131
2021-09-27 09:42:39.300436 : Epoch  5, Batch    316, Loss  1.215877, Average Loss  1.197198, Time  0.440246
2021-09-27 09:42:45.213878 : Epoch  5, Batch    317, Loss  1.201223, Average Loss  1.197213, Time  0.441648
2021-09-27 09:42:51.156402 : Epoch  5, Batch    318, Loss  1.198992, Average Loss  1.197265, Time  0.440304
2021-09-27 09:42:57.075786 : Epoch  5, Batch    319, Loss  1.186986, Average Loss  1.197222, Time  0.439199
2021-09-27 09:43:02.990804 : Epoch  5, Batch    320, Loss  1.179740, Average Loss  1.197136, Time  0.440062
2021-09-27 09:43:08.950440 : Epoch  5, Batch    321, Loss  1.178924, Average Loss  1.197078, Time  0.442579
2021-09-27 09:43:14.902769 : Epoch  5, Batch    322, Loss  1.204212, Average Loss  1.197020, Time  0.449941
2021-09-27 09:43:20.854023 : Epoch  5, Batch    323, Loss  1.199710, Average Loss  1.197058, Time  0.440283
2021-09-27 09:43:26.815795 : Epoch  5, Batch    324, Loss  1.200636, Average Loss  1.197121, Time  0.440505
2021-09-27 09:43:32.745888 : Epoch  5, Batch    325, Loss  1.207461, Average Loss  1.197139, Time  0.443245
2021-09-27 09:43:38.661986 : Epoch  5, Batch    326, Loss  1.205503, Average Loss  1.197135, Time  0.438140
2021-09-27 09:43:44.590076 : Epoch  5, Batch    327, Loss  1.194753, Average Loss  1.197126, Time  0.445129
2021-09-27 09:43:50.536767 : Epoch  5, Batch    328, Loss  1.218673, Average Loss  1.197230, Time  0.440231
2021-09-27 09:43:56.448790 : Epoch  5, Batch    329, Loss  1.209149, Average Loss  1.197284, Time  0.439073
2021-09-27 09:44:02.404873 : Epoch  5, Batch    330, Loss  1.196236, Average Loss  1.197336, Time  0.449960
2021-09-27 09:44:08.340865 : Epoch  5, Batch    331, Loss  1.182063, Average Loss  1.197272, Time  0.442314
2021-09-27 09:44:14.280975 : Epoch  5, Batch    332, Loss  1.194566, Average Loss  1.197245, Time  0.438610
2021-09-27 09:44:20.229758 : Epoch  5, Batch    333, Loss  1.194910, Average Loss  1.197279, Time  0.442785
2021-09-27 09:44:26.165071 : Epoch  5, Batch    334, Loss  1.188826, Average Loss  1.197177, Time  0.441656
2021-09-27 09:44:32.121779 : Epoch  5, Batch    335, Loss  1.185441, Average Loss  1.197018, Time  0.442100
2021-09-27 09:44:38.055948 : Epoch  5, Batch    336, Loss  1.207214, Average Loss  1.196985, Time  0.439836
2021-09-27 09:44:43.979288 : Epoch  5, Batch    337, Loss  1.196966, Average Loss  1.197096, Time  0.440882
2021-09-27 09:44:49.956535 : Epoch  5, Batch    338, Loss  1.199738, Average Loss  1.197114, Time  0.451610
2021-09-27 09:44:55.921790 : Epoch  5, Batch    339, Loss  1.184615, Average Loss  1.197034, Time  0.440756
2021-09-27 09:45:01.874953 : Epoch  5, Batch    340, Loss  1.198106, Average Loss  1.197090, Time  0.439775
2021-09-27 09:45:07.839736 : Epoch  5, Batch    341, Loss  1.196597, Average Loss  1.197072, Time  0.442449
2021-09-27 09:45:13.796617 : Epoch  5, Batch    342, Loss  1.189124, Average Loss  1.196959, Time  0.441088
2021-09-27 09:45:19.728165 : Epoch  5, Batch    343, Loss  1.217168, Average Loss  1.197089, Time  0.441912
2021-09-27 09:45:25.646744 : Epoch  5, Batch    344, Loss  1.208862, Average Loss  1.197153, Time  0.439780
2021-09-27 09:45:31.588342 : Epoch  5, Batch    345, Loss  1.181144, Average Loss  1.197076, Time  0.451402
2021-09-27 09:45:37.533309 : Epoch  5, Batch    346, Loss  1.217789, Average Loss  1.197193, Time  0.438442
2021-09-27 09:45:43.486959 : Epoch  5, Batch    347, Loss  1.204004, Average Loss  1.197216, Time  0.439415
2021-09-27 09:45:49.432039 : Epoch  5, Batch    348, Loss  1.201522, Average Loss  1.197288, Time  0.438742
2021-09-27 09:45:55.366368 : Epoch  5, Batch    349, Loss  1.194574, Average Loss  1.197266, Time  0.441236
2021-09-27 09:46:01.325745 : Epoch  5, Batch    350, Loss  1.200622, Average Loss  1.197263, Time  0.438514
2021-09-27 09:46:07.272336 : Epoch  5, Batch    351, Loss  1.203908, Average Loss  1.197259, Time  0.439938
2021-09-27 09:46:13.228628 : Epoch  5, Batch    352, Loss  1.192498, Average Loss  1.197207, Time  0.439495
2021-09-27 09:46:19.173445 : Epoch  5, Batch    353, Loss  1.201770, Average Loss  1.197190, Time  0.454042
2021-09-27 09:46:25.132814 : Epoch  5, Batch    354, Loss  1.194712, Average Loss  1.197245, Time  0.438955
2021-09-27 09:46:31.054939 : Epoch  5, Batch    355, Loss  1.187811, Average Loss  1.197250, Time  0.439402
2021-09-27 09:46:37.007902 : Epoch  5, Batch    356, Loss  1.196797, Average Loss  1.197229, Time  0.440798
2021-09-27 09:46:42.925660 : Epoch  5, Batch    357, Loss  1.188304, Average Loss  1.197084, Time  0.440256
2021-09-27 09:46:48.880967 : Epoch  5, Batch    358, Loss  1.206014, Average Loss  1.197114, Time  0.440407
2021-09-27 09:46:54.828017 : Epoch  5, Batch    359, Loss  1.200875, Average Loss  1.197078, Time  0.439421
2021-09-27 09:47:00.761527 : Epoch  5, Batch    360, Loss  1.203905, Average Loss  1.197057, Time  0.440736
2021-09-27 09:47:06.715391 : Epoch  5, Batch    361, Loss  1.195510, Average Loss  1.197094, Time  0.448521
2021-09-27 09:47:12.637788 : Epoch  5, Batch    362, Loss  1.185514, Average Loss  1.197005, Time  0.440466
2021-09-27 09:47:18.597555 : Epoch  5, Batch    363, Loss  1.203708, Average Loss  1.197021, Time  0.439236
2021-09-27 09:47:24.537860 : Epoch  5, Batch    364, Loss  1.199951, Average Loss  1.196994, Time  0.443413
2021-09-27 09:47:30.493678 : Epoch  5, Batch    365, Loss  1.200989, Average Loss  1.196949, Time  0.438821
2021-09-27 09:47:36.445077 : Epoch  5, Batch    366, Loss  1.200676, Average Loss  1.196910, Time  0.440876
2021-09-27 09:47:42.397173 : Epoch  5, Batch    367, Loss  1.199557, Average Loss  1.196844, Time  0.440654
2021-09-27 09:47:48.369375 : Epoch  5, Batch    368, Loss  1.202757, Average Loss  1.196795, Time  0.456885
2021-09-27 09:47:54.329418 : Epoch  5, Batch    369, Loss  1.189355, Average Loss  1.196797, Time  0.440401
2021-09-27 09:48:00.283801 : Epoch  5, Batch    370, Loss  1.202033, Average Loss  1.196783, Time  0.439569
2021-09-27 09:48:06.235136 : Epoch  5, Batch    371, Loss  1.196576, Average Loss  1.196779, Time  0.439104
2021-09-27 09:48:12.165760 : Epoch  5, Batch    372, Loss  1.198851, Average Loss  1.196794, Time  0.439624
2021-09-27 09:48:18.091472 : Epoch  5, Batch    373, Loss  1.195101, Average Loss  1.196774, Time  0.438766
2021-09-27 09:48:24.038109 : Epoch  5, Batch    374, Loss  1.199603, Average Loss  1.196719, Time  0.441506
2021-09-27 09:48:29.977811 : Epoch  5, Batch    375, Loss  1.191649, Average Loss  1.196719, Time  0.442058
2021-09-27 09:48:35.940980 : Epoch  5, Batch    376, Loss  1.192313, Average Loss  1.196765, Time  0.451439
2021-09-27 09:48:41.890865 : Epoch  5, Batch    377, Loss  1.211727, Average Loss  1.196786, Time  0.441597
2021-09-27 09:48:47.822003 : Epoch  5, Batch    378, Loss  1.206059, Average Loss  1.196887, Time  0.440021
2021-09-27 09:48:53.754371 : Epoch  5, Batch    379, Loss  1.203398, Average Loss  1.196884, Time  0.440016
2021-09-27 09:48:59.673989 : Epoch  5, Batch    380, Loss  1.201932, Average Loss  1.196926, Time  0.441230
2021-09-27 09:49:05.625828 : Epoch  5, Batch    381, Loss  1.205102, Average Loss  1.197024, Time  0.439320
2021-09-27 09:49:11.557561 : Epoch  5, Batch    382, Loss  1.195853, Average Loss  1.197025, Time  0.443849
2021-09-27 09:49:17.478910 : Epoch  5, Batch    383, Loss  1.196117, Average Loss  1.197039, Time  0.438866
2021-09-27 09:49:23.429678 : Epoch  5, Batch    384, Loss  1.192522, Average Loss  1.197087, Time  0.445779
2021-09-27 09:49:29.397774 : Epoch  5, Batch    385, Loss  1.192776, Average Loss  1.197054, Time  0.443815
2021-09-27 09:49:35.359563 : Epoch  5, Batch    386, Loss  1.202270, Average Loss  1.197141, Time  0.439554
2021-09-27 09:49:41.311765 : Epoch  5, Batch    387, Loss  1.182092, Average Loss  1.197051, Time  0.439047
2021-09-27 09:49:47.268808 : Epoch  5, Batch    388, Loss  1.184991, Average Loss  1.196965, Time  0.439262
2021-09-27 09:54:25.809717 : CheckPoint: Validation Loss  0.00020760, Best Loss  0.00020394
2021-09-27 09:54:31.758268 : Epoch  5, Batch    389, Loss  1.195454, Average Loss  1.197014, Time  0.440306
2021-09-27 09:54:37.672962 : Epoch  5, Batch    390, Loss  1.205403, Average Loss  1.197149, Time  0.439661
2021-09-27 09:54:43.592824 : Epoch  5, Batch    391, Loss  1.195057, Average Loss  1.197238, Time  0.452853
2021-09-27 09:54:49.508292 : Epoch  5, Batch    392, Loss  1.191249, Average Loss  1.197134, Time  0.439368
2021-09-27 09:54:55.423453 : Epoch  5, Batch    393, Loss  1.199485, Average Loss  1.197111, Time  0.441033
2021-09-27 09:55:01.331737 : Epoch  5, Batch    394, Loss  1.213277, Average Loss  1.197140, Time  0.440271
2021-09-27 09:55:07.231133 : Epoch  5, Batch    395, Loss  1.194188, Average Loss  1.197085, Time  0.438267
2021-09-27 09:55:13.149743 : Epoch  5, Batch    396, Loss  1.177184, Average Loss  1.196950, Time  0.439167
2021-09-27 09:55:19.060402 : Epoch  5, Batch    397, Loss  1.187104, Average Loss  1.196914, Time  0.440498
2021-09-27 09:55:24.960752 : Epoch  5, Batch    398, Loss  1.193684, Average Loss  1.196857, Time  0.439763
2021-09-27 09:55:30.882316 : Epoch  5, Batch    399, Loss  1.203715, Average Loss  1.196848, Time  0.450368
2021-09-27 09:55:36.789108 : Epoch  5, Batch    400, Loss  1.177749, Average Loss  1.196713, Time  0.439747
2021-09-27 09:55:42.707300 : Epoch  5, Batch    401, Loss  1.205431, Average Loss  1.196790, Time  0.442561
2021-09-27 09:55:48.616530 : Epoch  5, Batch    402, Loss  1.193129, Average Loss  1.196716, Time  0.439765
2021-09-27 09:55:54.530606 : Epoch  5, Batch    403, Loss  1.199348, Average Loss  1.196744, Time  0.439939
2021-09-27 09:56:00.449120 : Epoch  5, Batch    404, Loss  1.195391, Average Loss  1.196647, Time  0.443691
2021-09-27 09:56:06.376913 : Epoch  5, Batch    405, Loss  1.199199, Average Loss  1.196727, Time  0.442113
2021-09-27 09:56:12.295505 : Epoch  5, Batch    406, Loss  1.210050, Average Loss  1.196791, Time  0.439383
2021-09-27 09:56:18.218789 : Epoch  5, Batch    407, Loss  1.192564, Average Loss  1.196800, Time  0.447965
2021-09-27 09:56:24.118706 : Epoch  5, Batch    408, Loss  1.181334, Average Loss  1.196729, Time  0.439781
2021-09-27 09:56:30.028278 : Epoch  5, Batch    409, Loss  1.189488, Average Loss  1.196718, Time  0.439526
2021-09-27 09:56:35.939188 : Epoch  5, Batch    410, Loss  1.205721, Average Loss  1.196736, Time  0.439293
2021-09-27 09:56:41.854055 : Epoch  5, Batch    411, Loss  1.181877, Average Loss  1.196730, Time  0.438284
2021-09-27 09:56:47.766796 : Epoch  5, Batch    412, Loss  1.189851, Average Loss  1.196709, Time  0.439662
2021-09-27 09:56:53.668798 : Epoch  5, Batch    413, Loss  1.205491, Average Loss  1.196712, Time  0.441977
2021-09-27 09:56:59.575559 : Epoch  5, Batch    414, Loss  1.201070, Average Loss  1.196793, Time  0.440739
2021-09-27 09:57:05.492940 : Epoch  5, Batch    415, Loss  1.187758, Average Loss  1.196721, Time  0.449261
2021-09-27 09:57:11.391974 : Epoch  5, Batch    416, Loss  1.207467, Average Loss  1.196804, Time  0.439557
2021-09-27 09:57:17.314912 : Epoch  5, Batch    417, Loss  1.206521, Average Loss  1.196866, Time  0.440478
2021-09-27 09:57:23.209753 : Epoch  5, Batch    418, Loss  1.199234, Average Loss  1.196835, Time  0.439915
2021-09-27 09:57:29.110694 : Epoch  5, Batch    419, Loss  1.201866, Average Loss  1.196810, Time  0.438857
2021-09-27 09:57:35.018801 : Epoch  5, Batch    420, Loss  1.219206, Average Loss  1.196842, Time  0.438805
2021-09-27 09:57:40.933394 : Epoch  5, Batch    421, Loss  1.220330, Average Loss  1.196981, Time  0.439161
2021-09-27 09:57:46.843076 : Epoch  5, Batch    422, Loss  1.191212, Average Loss  1.197025, Time  0.439753
2021-09-27 09:57:52.749764 : Epoch  5, Batch    423, Loss  1.190361, Average Loss  1.197027, Time  0.454629
2021-09-27 09:57:58.646711 : Epoch  5, Batch    424, Loss  1.199943, Average Loss  1.197042, Time  0.440013
2021-09-27 09:58:04.558485 : Epoch  5, Batch    425, Loss  1.185573, Average Loss  1.197058, Time  0.439604
2021-09-27 09:58:10.468731 : Epoch  5, Batch    426, Loss  1.190760, Average Loss  1.196972, Time  0.440929
2021-09-27 09:58:16.375474 : Epoch  5, Batch    427, Loss  1.205452, Average Loss  1.196926, Time  0.442930
2021-09-27 09:58:22.270748 : Epoch  5, Batch    428, Loss  1.192242, Average Loss  1.196940, Time  0.438669
2021-09-27 09:58:28.181545 : Epoch  5, Batch    429, Loss  1.188637, Average Loss  1.196902, Time  0.439609
2021-09-27 09:58:34.077287 : Epoch  5, Batch    430, Loss  1.214581, Average Loss  1.196930, Time  0.439787
2021-09-27 09:58:39.990554 : Epoch  5, Batch    431, Loss  1.200984, Average Loss  1.196958, Time  0.454831
2021-09-27 09:58:45.895458 : Epoch  5, Batch    432, Loss  1.191402, Average Loss  1.196981, Time  0.438639
2021-09-27 09:58:51.814544 : Epoch  5, Batch    433, Loss  1.194507, Average Loss  1.196942, Time  0.443447
2021-09-27 09:58:57.722092 : Epoch  5, Batch    434, Loss  1.211215, Average Loss  1.197048, Time  0.441277
2021-09-27 09:59:03.626993 : Epoch  5, Batch    435, Loss  1.185265, Average Loss  1.197036, Time  0.439867
2021-09-27 09:59:09.541312 : Epoch  5, Batch    436, Loss  1.200750, Average Loss  1.197037, Time  0.440546
2021-09-27 09:59:15.445952 : Epoch  5, Batch    437, Loss  1.201361, Average Loss  1.197126, Time  0.440765
2021-09-27 09:59:21.358374 : Epoch  5, Batch    438, Loss  1.209475, Average Loss  1.197154, Time  0.450225
2021-09-27 09:59:27.261802 : Epoch  5, Batch    439, Loss  1.200910, Average Loss  1.197233, Time  0.439514
2021-09-27 09:59:33.169876 : Epoch  5, Batch    440, Loss  1.202109, Average Loss  1.197201, Time  0.446010
2021-09-27 09:59:39.085669 : Epoch  5, Batch    441, Loss  1.194948, Average Loss  1.197155, Time  0.442695
2021-09-27 09:59:44.970659 : Epoch  5, Batch    442, Loss  1.206051, Average Loss  1.197175, Time  0.438365
2021-09-27 09:59:50.890510 : Epoch  5, Batch    443, Loss  1.205586, Average Loss  1.197252, Time  0.439247
2021-09-27 09:59:56.784397 : Epoch  5, Batch    444, Loss  1.186485, Average Loss  1.197205, Time  0.444793
2021-09-27 10:00:02.706945 : Epoch  5, Batch    445, Loss  1.197722, Average Loss  1.197182, Time  0.442608
2021-09-27 10:00:08.611619 : Epoch  5, Batch    446, Loss  1.184764, Average Loss  1.197072, Time  0.451825
2021-09-27 10:00:14.509743 : Epoch  5, Batch    447, Loss  1.187100, Average Loss  1.197014, Time  0.438857
2021-09-27 10:00:20.415986 : Epoch  5, Batch    448, Loss  1.185684, Average Loss  1.196898, Time  0.438881
2021-09-27 10:00:26.324616 : Epoch  5, Batch    449, Loss  1.203663, Average Loss  1.196945, Time  0.440021
2021-09-27 10:00:32.225923 : Epoch  5, Batch    450, Loss  1.196698, Average Loss  1.196919, Time  0.438501
2021-09-27 10:00:38.132988 : Epoch  5, Batch    451, Loss  1.190131, Average Loss  1.196902, Time  0.438984
2021-09-27 10:00:44.044890 : Epoch  5, Batch    452, Loss  1.216547, Average Loss  1.197060, Time  0.441234
2021-09-27 10:00:49.957382 : Epoch  5, Batch    453, Loss  1.215469, Average Loss  1.197195, Time  0.439508
2021-09-27 10:00:55.862886 : Epoch  5, Batch    454, Loss  1.197368, Average Loss  1.197201, Time  0.456504
2021-09-27 10:01:01.767815 : Epoch  5, Batch    455, Loss  1.181895, Average Loss  1.197069, Time  0.440561
2021-09-27 10:01:07.684980 : Epoch  5, Batch    456, Loss  1.205734, Average Loss  1.197109, Time  0.440807
2021-09-27 10:01:13.575605 : Epoch  5, Batch    457, Loss  1.198074, Average Loss  1.197113, Time  0.441485
2021-09-27 10:01:19.484742 : Epoch  5, Batch    458, Loss  1.208250, Average Loss  1.197182, Time  0.439421
2021-09-27 10:01:25.398449 : Epoch  5, Batch    459, Loss  1.183515, Average Loss  1.197195, Time  0.440018
2021-09-27 10:01:31.300914 : Epoch  5, Batch    460, Loss  1.194202, Average Loss  1.197160, Time  0.439856
2021-09-27 10:01:37.210777 : Epoch  5, Batch    461, Loss  1.193901, Average Loss  1.197163, Time  0.442834
2021-09-27 10:01:43.114237 : Epoch  5, Batch    462, Loss  1.193884, Average Loss  1.197156, Time  0.453035
2021-09-27 10:01:49.017978 : Epoch  5, Batch    463, Loss  1.194146, Average Loss  1.197101, Time  0.440095
2021-09-27 10:01:54.928161 : Epoch  5, Batch    464, Loss  1.192157, Average Loss  1.197120, Time  0.439505
2021-09-27 10:02:00.838900 : Epoch  5, Batch    465, Loss  1.217500, Average Loss  1.197277, Time  0.441988
2021-09-27 10:02:06.735940 : Epoch  5, Batch    466, Loss  1.190275, Average Loss  1.197254, Time  0.441051
2021-09-27 10:02:12.636569 : Epoch  5, Batch    467, Loss  1.173617, Average Loss  1.197149, Time  0.440894
2021-09-27 10:02:18.531402 : Epoch  5, Batch    468, Loss  1.218652, Average Loss  1.197355, Time  0.439380
2021-09-27 10:02:24.427751 : Epoch  5, Batch    469, Loss  1.198783, Average Loss  1.197366, Time  0.440082
2021-09-27 10:02:30.341569 : Epoch  5, Batch    470, Loss  1.185075, Average Loss  1.197238, Time  0.451682
2021-09-27 10:02:36.248403 : Epoch  5, Batch    471, Loss  1.193424, Average Loss  1.197317, Time  0.440271
2021-09-27 10:02:42.143237 : Epoch  5, Batch    472, Loss  1.187942, Average Loss  1.197252, Time  0.440455
2021-09-27 10:02:48.061495 : Epoch  5, Batch    473, Loss  1.195093, Average Loss  1.197271, Time  0.439292
2021-09-27 10:02:53.971769 : Epoch  5, Batch    474, Loss  1.191581, Average Loss  1.197229, Time  0.438843
2021-09-27 10:02:59.885513 : Epoch  5, Batch    475, Loss  1.200282, Average Loss  1.197315, Time  0.442315
2021-09-27 10:03:05.791699 : Epoch  5, Batch    476, Loss  1.186402, Average Loss  1.197230, Time  0.439618
2021-09-27 10:03:11.696344 : Epoch  5, Batch    477, Loss  1.188698, Average Loss  1.197219, Time  0.439119
2021-09-27 10:03:17.615463 : Epoch  5, Batch    478, Loss  1.196160, Average Loss  1.197258, Time  0.457791
2021-09-27 10:03:23.511007 : Epoch  5, Batch    479, Loss  1.199536, Average Loss  1.197231, Time  0.440106
2021-09-27 10:03:29.412652 : Epoch  5, Batch    480, Loss  1.200781, Average Loss  1.197239, Time  0.438893
2021-09-27 10:03:35.312445 : Epoch  5, Batch    481, Loss  1.217815, Average Loss  1.197341, Time  0.439983
2021-09-27 10:03:41.237737 : Epoch  5, Batch    482, Loss  1.176499, Average Loss  1.197309, Time  0.439905
2021-09-27 10:03:47.142546 : Epoch  5, Batch    483, Loss  1.202689, Average Loss  1.197377, Time  0.438734
2021-09-27 10:03:53.047289 : Epoch  5, Batch    484, Loss  1.206876, Average Loss  1.197395, Time  0.438731
2021-09-27 10:03:58.953565 : Epoch  5, Batch    485, Loss  1.221660, Average Loss  1.197511, Time  0.442361
2021-09-27 10:04:04.874207 : Epoch  5, Batch    486, Loss  1.190081, Average Loss  1.197451, Time  0.454193
2021-09-27 10:04:10.776383 : Epoch  5, Batch    487, Loss  1.196881, Average Loss  1.197542, Time  0.438956
2021-09-27 10:04:16.686981 : Epoch  5, Batch    488, Loss  1.213439, Average Loss  1.197601, Time  0.438838
2021-09-27 10:08:52.791709 : CheckPoint: Validation Loss  0.00020478, Best Loss  0.00020394
2021-09-27 10:08:58.693916 : Epoch  5, Batch    489, Loss  1.207000, Average Loss  1.197602, Time  0.439217
2021-09-27 10:09:04.613724 : Epoch  5, Batch    490, Loss  1.205470, Average Loss  1.197649, Time  0.440448
2021-09-27 10:09:10.520567 : Epoch  5, Batch    491, Loss  1.191809, Average Loss  1.197557, Time  0.439100
2021-09-27 10:09:16.432910 : Epoch  5, Batch    492, Loss  1.202828, Average Loss  1.197587, Time  0.438822
2021-09-27 10:09:22.342860 : Epoch  5, Batch    493, Loss  1.200096, Average Loss  1.197515, Time  0.439711
2021-09-27 10:09:28.273753 : Epoch  5, Batch    494, Loss  1.193394, Average Loss  1.197477, Time  0.454899
2021-09-27 10:09:34.187341 : Epoch  5, Batch    495, Loss  1.204482, Average Loss  1.197496, Time  0.440014
2021-09-27 10:09:40.093832 : Epoch  5, Batch    496, Loss  1.189923, Average Loss  1.197421, Time  0.441465
2021-09-27 10:09:45.997279 : Epoch  5, Batch    497, Loss  1.192181, Average Loss  1.197340, Time  0.438657
2021-09-27 10:09:51.899276 : Epoch  5, Batch    498, Loss  1.184204, Average Loss  1.197252, Time  0.439770
2021-09-27 10:09:57.822291 : Epoch  5, Batch    499, Loss  1.209584, Average Loss  1.197313, Time  0.440079
2021-09-27 10:10:03.734524 : Epoch  5, Batch    500, Loss  1.195899, Average Loss  1.197314, Time  0.441974
2021-09-27 10:10:09.636319 : Epoch  5, Batch    501, Loss  1.190037, Average Loss  1.197279, Time  0.442378
2021-09-27 10:10:15.560672 : Epoch  5, Batch    502, Loss  1.190785, Average Loss  1.197226, Time  0.457153
2021-09-27 10:10:21.468146 : Epoch  5, Batch    503, Loss  1.208080, Average Loss  1.197289, Time  0.439180
2021-09-27 10:10:27.379783 : Epoch  5, Batch    504, Loss  1.200777, Average Loss  1.197278, Time  0.439158
2021-09-27 10:10:33.293847 : Epoch  5, Batch    505, Loss  1.207743, Average Loss  1.197291, Time  0.442147
2021-09-27 10:10:39.199546 : Epoch  5, Batch    506, Loss  1.205205, Average Loss  1.197334, Time  0.440012
2021-09-27 10:10:45.128130 : Epoch  5, Batch    507, Loss  1.196141, Average Loss  1.197420, Time  0.439226
2021-09-27 10:10:51.034841 : Epoch  5, Batch    508, Loss  1.216269, Average Loss  1.197561, Time  0.443848
2021-09-27 10:10:56.952205 : Epoch  5, Batch    509, Loss  1.190403, Average Loss  1.197658, Time  0.441894
2021-09-27 10:11:02.869401 : Epoch  5, Batch    510, Loss  1.201936, Average Loss  1.197713, Time  0.454359
2021-09-27 10:11:08.770556 : Epoch  5, Batch    511, Loss  1.214299, Average Loss  1.197855, Time  0.438562
2021-09-27 10:11:14.675688 : Epoch  5, Batch    512, Loss  1.193684, Average Loss  1.197885, Time  0.441122
2021-09-27 10:11:20.581942 : Epoch  5, Batch    513, Loss  1.189347, Average Loss  1.197843, Time  0.441207
2021-09-27 10:11:26.492788 : Epoch  5, Batch    514, Loss  1.193881, Average Loss  1.197865, Time  0.441480
2021-09-27 10:11:32.388897 : Epoch  5, Batch    515, Loss  1.183910, Average Loss  1.197766, Time  0.440070
2021-09-27 10:11:38.294974 : Epoch  5, Batch    516, Loss  1.203887, Average Loss  1.197706, Time  0.442390
2021-09-27 10:11:44.211963 : Epoch  5, Batch    517, Loss  1.212830, Average Loss  1.197764, Time  0.440649
2021-09-27 10:11:50.126085 : Epoch  5, Batch    518, Loss  1.215839, Average Loss  1.197848, Time  0.455706
2021-09-27 10:11:56.021905 : Epoch  5, Batch    519, Loss  1.180761, Average Loss  1.197817, Time  0.440607
2021-09-27 10:12:01.926889 : Epoch  5, Batch    520, Loss  1.183670, Average Loss  1.197837, Time  0.442469
2021-09-27 10:12:07.846095 : Epoch  5, Batch    521, Loss  1.205154, Average Loss  1.197968, Time  0.440886
2021-09-27 10:12:13.775687 : Epoch  5, Batch    522, Loss  1.186709, Average Loss  1.197880, Time  0.440117
2021-09-27 10:12:19.686176 : Epoch  5, Batch    523, Loss  1.185484, Average Loss  1.197809, Time  0.439346
2021-09-27 10:12:25.593309 : Epoch  5, Batch    524, Loss  1.222123, Average Loss  1.197917, Time  0.440246
2021-09-27 10:12:31.500628 : Epoch  5, Batch    525, Loss  1.189287, Average Loss  1.197826, Time  0.443502
2021-09-27 10:12:37.428146 : Epoch  5, Batch    526, Loss  1.201550, Average Loss  1.197806, Time  0.455525
2021-09-27 10:12:43.341845 : Epoch  5, Batch    527, Loss  1.193691, Average Loss  1.197801, Time  0.438322
2021-09-27 10:12:49.243260 : Epoch  5, Batch    528, Loss  1.220823, Average Loss  1.197812, Time  0.439471
2021-09-27 10:12:55.144611 : Epoch  5, Batch    529, Loss  1.178011, Average Loss  1.197656, Time  0.438331
2021-09-27 10:13:01.068534 : Epoch  5, Batch    530, Loss  1.189418, Average Loss  1.197622, Time  0.439590
2021-09-27 10:13:06.971264 : Epoch  5, Batch    531, Loss  1.197786, Average Loss  1.197700, Time  0.439090
2021-09-27 10:13:12.857083 : Epoch  5, Batch    532, Loss  1.190965, Average Loss  1.197682, Time  0.439169
2021-09-27 10:13:18.770069 : Epoch  5, Batch    533, Loss  1.193970, Average Loss  1.197678, Time  0.439656
2021-09-27 10:13:24.695422 : Epoch  5, Batch    534, Loss  1.197382, Average Loss  1.197721, Time  0.456198
2021-09-27 10:13:30.597484 : Epoch  5, Batch    535, Loss  1.194492, Average Loss  1.197766, Time  0.439549
2021-09-27 10:13:36.496557 : Epoch  5, Batch    536, Loss  1.195122, Average Loss  1.197705, Time  0.440527
2021-09-27 10:13:42.392786 : Epoch  5, Batch    537, Loss  1.198286, Average Loss  1.197712, Time  0.438364
2021-09-27 10:13:48.320233 : Epoch  5, Batch    538, Loss  1.198641, Average Loss  1.197706, Time  0.443277
2021-09-27 10:13:54.217241 : Epoch  5, Batch    539, Loss  1.195088, Average Loss  1.197759, Time  0.438584
2021-09-27 10:14:00.117890 : Epoch  5, Batch    540, Loss  1.196507, Average Loss  1.197751, Time  0.440055
2021-09-27 10:14:06.007689 : Epoch  5, Batch    541, Loss  1.181059, Average Loss  1.197673, Time  0.439855
2021-09-27 10:14:11.920896 : Epoch  5, Batch    542, Loss  1.199624, Average Loss  1.197726, Time  0.449734
2021-09-27 10:14:17.834201 : Epoch  5, Batch    543, Loss  1.213349, Average Loss  1.197707, Time  0.440055
2021-09-27 10:14:23.732808 : Epoch  5, Batch    544, Loss  1.177997, Average Loss  1.197552, Time  0.440440
2021-09-27 10:14:29.638754 : Epoch  5, Batch    545, Loss  1.201445, Average Loss  1.197654, Time  0.439352
2021-09-27 10:14:35.556369 : Epoch  5, Batch    546, Loss  1.228568, Average Loss  1.197708, Time  0.443634
2021-09-27 10:14:41.458314 : Epoch  5, Batch    547, Loss  1.191897, Average Loss  1.197647, Time  0.439757
2021-09-27 10:14:47.375800 : Epoch  5, Batch    548, Loss  1.206015, Average Loss  1.197670, Time  0.443856
2021-09-27 10:14:53.276780 : Epoch  5, Batch    549, Loss  1.208691, Average Loss  1.197740, Time  0.439475
2021-09-27 10:14:59.186186 : Epoch  5, Batch    550, Loss  1.196096, Average Loss  1.197717, Time  0.453820
2021-09-27 10:15:05.088904 : Epoch  5, Batch    551, Loss  1.192937, Average Loss  1.197663, Time  0.441147
2021-09-27 10:15:10.987139 : Epoch  5, Batch    552, Loss  1.200445, Average Loss  1.197702, Time  0.440174
2021-09-27 10:15:16.881564 : Epoch  5, Batch    553, Loss  1.189390, Average Loss  1.197640, Time  0.440913
2021-09-27 10:15:22.801180 : Epoch  5, Batch    554, Loss  1.211276, Average Loss  1.197723, Time  0.441558
2021-09-27 10:15:28.700672 : Epoch  5, Batch    555, Loss  1.208070, Average Loss  1.197825, Time  0.443586
2021-09-27 10:15:34.602109 : Epoch  5, Batch    556, Loss  1.179618, Average Loss  1.197739, Time  0.444163
2021-09-27 10:15:40.503921 : Epoch  5, Batch    557, Loss  1.198063, Average Loss  1.197787, Time  0.439568
2021-09-27 10:15:46.422053 : Epoch  5, Batch    558, Loss  1.180611, Average Loss  1.197660, Time  0.455743
2021-09-27 10:15:52.321141 : Epoch  5, Batch    559, Loss  1.215802, Average Loss  1.197735, Time  0.438807
2021-09-27 10:15:58.223772 : Epoch  5, Batch    560, Loss  1.191339, Average Loss  1.197672, Time  0.438833
2021-09-27 10:16:04.128278 : Epoch  5, Batch    561, Loss  1.187820, Average Loss  1.197634, Time  0.441021
2021-09-27 10:16:10.043810 : Epoch  5, Batch    562, Loss  1.208083, Average Loss  1.197747, Time  0.439028
2021-09-27 10:16:15.958733 : Epoch  5, Batch    563, Loss  1.184869, Average Loss  1.197652, Time  0.438771
2021-09-27 10:16:21.874236 : Epoch  5, Batch    564, Loss  1.205903, Average Loss  1.197682, Time  0.442830
2021-09-27 10:16:27.805387 : Epoch  5, Batch    565, Loss  1.203180, Average Loss  1.197693, Time  0.439157
2021-09-27 10:16:33.730744 : Epoch  5, Batch    566, Loss  1.176390, Average Loss  1.197572, Time  0.455514
2021-09-27 10:16:39.626097 : Epoch  5, Batch    567, Loss  1.185618, Average Loss  1.197502, Time  0.440579
2021-09-27 10:16:45.534781 : Epoch  5, Batch    568, Loss  1.189090, Average Loss  1.197434, Time  0.438560
2021-09-27 10:16:51.446216 : Epoch  5, Batch    569, Loss  1.207090, Average Loss  1.197522, Time  0.438915
2021-09-27 10:16:57.363009 : Epoch  5, Batch    570, Loss  1.197470, Average Loss  1.197500, Time  0.438868
2021-09-27 10:17:03.247735 : Epoch  5, Batch    571, Loss  1.179251, Average Loss  1.197413, Time  0.439349
2021-09-27 10:17:09.147334 : Epoch  5, Batch    572, Loss  1.194787, Average Loss  1.197393, Time  0.440264
2021-09-27 10:17:15.048602 : Epoch  5, Batch    573, Loss  1.213027, Average Loss  1.197482, Time  0.438562
2021-09-27 10:17:20.971872 : Epoch  5, Batch    574, Loss  1.190734, Average Loss  1.197438, Time  0.446107
2021-09-27 10:17:26.863707 : Epoch  5, Batch    575, Loss  1.209374, Average Loss  1.197527, Time  0.439725
2021-09-27 10:17:32.764565 : Epoch  5, Batch    576, Loss  1.206996, Average Loss  1.197600, Time  0.439044
2021-09-27 10:17:38.661787 : Epoch  5, Batch    577, Loss  1.200770, Average Loss  1.197545, Time  0.439069
2021-09-27 10:17:44.565986 : Epoch  5, Batch    578, Loss  1.204885, Average Loss  1.197539, Time  0.439786
2021-09-27 10:17:50.471261 : Epoch  5, Batch    579, Loss  1.198352, Average Loss  1.197514, Time  0.439033
2021-09-27 10:17:56.377487 : Epoch  5, Batch    580, Loss  1.206294, Average Loss  1.197536, Time  0.440774
2021-09-27 10:18:02.291148 : Epoch  5, Batch    581, Loss  1.202179, Average Loss  1.197521, Time  0.438882
2021-09-27 10:18:08.209288 : Epoch  5, Batch    582, Loss  1.197129, Average Loss  1.197528, Time  0.452654
2021-09-27 10:18:14.120870 : Epoch  5, Batch    583, Loss  1.193181, Average Loss  1.197513, Time  0.440516
2021-09-27 10:18:20.024851 : Epoch  5, Batch    584, Loss  1.193280, Average Loss  1.197517, Time  0.439101
2021-09-27 10:18:25.920287 : Epoch  5, Batch    585, Loss  1.199993, Average Loss  1.197553, Time  0.438646
2021-09-27 10:18:31.847354 : Epoch  5, Batch    586, Loss  1.193732, Average Loss  1.197510, Time  0.440205
2021-09-27 10:18:37.766361 : Epoch  5, Batch    587, Loss  1.188917, Average Loss  1.197544, Time  0.438461
2021-09-27 10:18:43.673341 : Epoch  5, Batch    588, Loss  1.197883, Average Loss  1.197609, Time  0.441751
2021-09-27 10:23:21.949723 : CheckPoint: Validation Loss  0.00020897, Best Loss  0.00020394
2021-09-27 10:23:27.923259 : Epoch  5, Batch    589, Loss  1.192745, Average Loss  1.197595, Time  0.450563
2021-09-27 10:23:33.827993 : Epoch  5, Batch    590, Loss  1.196647, Average Loss  1.197551, Time  0.441289
2021-09-27 10:23:39.740768 : Epoch  5, Batch    591, Loss  1.195695, Average Loss  1.197555, Time  0.439386
2021-09-27 10:23:45.652043 : Epoch  5, Batch    592, Loss  1.207638, Average Loss  1.197637, Time  0.440313
2021-09-27 10:23:51.559751 : Epoch  5, Batch    593, Loss  1.191196, Average Loss  1.197595, Time  0.441854
2021-09-27 10:23:57.459769 : Epoch  5, Batch    594, Loss  1.196912, Average Loss  1.197513, Time  0.439763
2021-09-27 10:24:03.382529 : Epoch  5, Batch    595, Loss  1.219505, Average Loss  1.197640, Time  0.439791
2021-09-27 10:24:09.285776 : Epoch  5, Batch    596, Loss  1.201971, Average Loss  1.197764, Time  0.439318
2021-09-27 10:24:15.204825 : Epoch  5, Batch    597, Loss  1.200001, Average Loss  1.197828, Time  0.450902
2021-09-27 10:24:21.094213 : Epoch  5, Batch    598, Loss  1.206401, Average Loss  1.197892, Time  0.438610
2021-09-27 10:24:26.993042 : Epoch  5, Batch    599, Loss  1.201645, Average Loss  1.197881, Time  0.439179
2021-09-27 10:24:32.908085 : Epoch  5, Batch    600, Loss  1.208687, Average Loss  1.198036, Time  0.440664
2021-09-27 10:24:38.821201 : Epoch  5, Batch    601, Loss  1.208300, Average Loss  1.198051, Time  0.443431
2021-09-27 10:24:44.742696 : Epoch  5, Batch    602, Loss  1.208373, Average Loss  1.198127, Time  0.439682
2021-09-27 10:24:50.649010 : Epoch  5, Batch    603, Loss  1.200752, Average Loss  1.198134, Time  0.440327
2021-09-27 10:24:56.543305 : Epoch  5, Batch    604, Loss  1.209018, Average Loss  1.198202, Time  0.440335
2021-09-27 10:25:02.476726 : Epoch  5, Batch    605, Loss  1.201673, Average Loss  1.198214, Time  0.453435
2021-09-27 10:25:08.377143 : Epoch  5, Batch    606, Loss  1.175650, Average Loss  1.198042, Time  0.438645
2021-09-27 10:25:14.279311 : Epoch  5, Batch    607, Loss  1.205337, Average Loss  1.198106, Time  0.441998
2021-09-27 10:25:20.184902 : Epoch  5, Batch    608, Loss  1.182523, Average Loss  1.198112, Time  0.438359
2021-09-27 10:25:26.087577 : Epoch  5, Batch    609, Loss  1.207751, Average Loss  1.198203, Time  0.439619
2021-09-27 10:25:32.004774 : Epoch  5, Batch    610, Loss  1.192158, Average Loss  1.198136, Time  0.439752
2021-09-27 10:25:37.917779 : Epoch  5, Batch    611, Loss  1.191596, Average Loss  1.198184, Time  0.441899
2021-09-27 10:25:43.827892 : Epoch  5, Batch    612, Loss  1.197707, Average Loss  1.198223, Time  0.439541
2021-09-27 10:25:49.750550 : Epoch  5, Batch    613, Loss  1.190280, Average Loss  1.198147, Time  0.455029
2021-09-27 10:25:55.653866 : Epoch  5, Batch    614, Loss  1.205913, Average Loss  1.198172, Time  0.439524
2021-09-27 10:26:01.560256 : Epoch  5, Batch    615, Loss  1.198271, Average Loss  1.198224, Time  0.440166
2021-09-27 10:26:07.456517 : Epoch  5, Batch    616, Loss  1.208679, Average Loss  1.198230, Time  0.439879
2021-09-27 10:26:13.366892 : Epoch  5, Batch    617, Loss  1.209710, Average Loss  1.198246, Time  0.440068
2021-09-27 10:26:19.274856 : Epoch  5, Batch    618, Loss  1.210753, Average Loss  1.198304, Time  0.438781
2021-09-27 10:26:25.177774 : Epoch  5, Batch    619, Loss  1.221096, Average Loss  1.198400, Time  0.440517
2021-09-27 10:26:31.076091 : Epoch  5, Batch    620, Loss  1.195311, Average Loss  1.198280, Time  0.440533
2021-09-27 10:26:37.010680 : Epoch  5, Batch    621, Loss  1.184311, Average Loss  1.198100, Time  0.456158
2021-09-27 10:26:42.909253 : Epoch  5, Batch    622, Loss  1.193988, Average Loss  1.198114, Time  0.439100
2021-09-27 10:26:48.823515 : Epoch  5, Batch    623, Loss  1.199801, Average Loss  1.198161, Time  0.439458
2021-09-27 10:26:54.727871 : Epoch  5, Batch    624, Loss  1.203152, Average Loss  1.198177, Time  0.439950
2021-09-27 10:27:00.643324 : Epoch  5, Batch    625, Loss  1.202664, Average Loss  1.198263, Time  0.440597
2021-09-27 10:27:06.559221 : Epoch  5, Batch    626, Loss  1.202536, Average Loss  1.198322, Time  0.440576
2021-09-27 10:27:12.465082 : Epoch  5, Batch    627, Loss  1.213307, Average Loss  1.198361, Time  0.438356
2021-09-27 10:27:18.378605 : Epoch  5, Batch    628, Loss  1.193271, Average Loss  1.198366, Time  0.451520
2021-09-27 10:27:24.286738 : Epoch  5, Batch    629, Loss  1.198346, Average Loss  1.198415, Time  0.438779
2021-09-27 10:27:30.201403 : Epoch  5, Batch    630, Loss  1.198804, Average Loss  1.198336, Time  0.441259
2021-09-27 10:27:36.100035 : Epoch  5, Batch    631, Loss  1.202901, Average Loss  1.198345, Time  0.442683
2021-09-27 10:27:42.012779 : Epoch  5, Batch    632, Loss  1.195984, Average Loss  1.198368, Time  0.441096
2021-09-27 10:27:47.911400 : Epoch  5, Batch    633, Loss  1.198677, Average Loss  1.198389, Time  0.439432
2021-09-27 10:27:53.824783 : Epoch  5, Batch    634, Loss  1.198660, Average Loss  1.198326, Time  0.440099
2021-09-27 10:27:59.738669 : Epoch  5, Batch    635, Loss  1.191918, Average Loss  1.198360, Time  0.439265
2021-09-27 10:28:05.657407 : Epoch  5, Batch    636, Loss  1.178600, Average Loss  1.198249, Time  0.451704
2021-09-27 10:28:11.560566 : Epoch  5, Batch    637, Loss  1.202160, Average Loss  1.198253, Time  0.441957
2021-09-27 10:28:17.470598 : Epoch  5, Batch    638, Loss  1.191393, Average Loss  1.198163, Time  0.439565
2021-09-27 10:28:23.381250 : Epoch  5, Batch    639, Loss  1.202223, Average Loss  1.198169, Time  0.439978
2021-09-27 10:28:29.303768 : Epoch  5, Batch    640, Loss  1.204134, Average Loss  1.198179, Time  0.439393
2021-09-27 10:28:35.222115 : Epoch  5, Batch    641, Loss  1.200159, Average Loss  1.198205, Time  0.440198
2021-09-27 10:28:41.143456 : Epoch  5, Batch    642, Loss  1.198161, Average Loss  1.198166, Time  0.441263
2021-09-27 10:28:47.055096 : Epoch  5, Batch    643, Loss  1.175447, Average Loss  1.198015, Time  0.438853
2021-09-27 10:28:52.964014 : Epoch  5, Batch    644, Loss  1.190687, Average Loss  1.198036, Time  0.451149
2021-09-27 10:28:58.862680 : Epoch  5, Batch    645, Loss  1.193025, Average Loss  1.198013, Time  0.440522
2021-09-27 10:29:04.773740 : Epoch  5, Batch    646, Loss  1.189765, Average Loss  1.198038, Time  0.438989
2021-09-27 10:29:10.680420 : Epoch  5, Batch    647, Loss  1.215654, Average Loss  1.198180, Time  0.439079
2021-09-27 10:29:16.588244 : Epoch  5, Batch    648, Loss  1.186614, Average Loss  1.198185, Time  0.439776
2021-09-27 10:29:22.489523 : Epoch  5, Batch    649, Loss  1.204704, Average Loss  1.198190, Time  0.441194
2021-09-27 10:29:28.398080 : Epoch  5, Batch    650, Loss  1.212019, Average Loss  1.198267, Time  0.439023
2021-09-27 10:29:34.310749 : Epoch  5, Batch    651, Loss  1.220661, Average Loss  1.198420, Time  0.439031
2021-09-27 10:29:40.247867 : Epoch  5, Batch    652, Loss  1.190054, Average Loss  1.198287, Time  0.451563
2021-09-27 10:29:46.156913 : Epoch  5, Batch    653, Loss  1.212530, Average Loss  1.198272, Time  0.441408
2021-09-27 10:29:52.068946 : Epoch  5, Batch    654, Loss  1.200974, Average Loss  1.198290, Time  0.438804
2021-09-27 10:29:57.984747 : Epoch  5, Batch    655, Loss  1.197839, Average Loss  1.198370, Time  0.441042
2021-09-27 10:30:03.887633 : Epoch  5, Batch    656, Loss  1.189430, Average Loss  1.198289, Time  0.438226
2021-09-27 10:30:09.778819 : Epoch  5, Batch    657, Loss  1.202656, Average Loss  1.198312, Time  0.438119
2021-09-27 10:30:15.675963 : Epoch  5, Batch    658, Loss  1.180672, Average Loss  1.198174, Time  0.440303
2021-09-27 10:30:21.577782 : Epoch  5, Batch    659, Loss  1.193831, Average Loss  1.198225, Time  0.438314
2021-09-27 10:30:27.501306 : Epoch  5, Batch    660, Loss  1.188105, Average Loss  1.198195, Time  0.456923
2021-09-27 10:30:33.384443 : Epoch  5, Batch    661, Loss  1.197803, Average Loss  1.198214, Time  0.439699
2021-09-27 10:30:39.301767 : Epoch  5, Batch    662, Loss  1.197920, Average Loss  1.198234, Time  0.439032
2021-09-27 10:30:45.209839 : Epoch  5, Batch    663, Loss  1.200181, Average Loss  1.198265, Time  0.441453
2021-09-27 10:30:51.113579 : Epoch  5, Batch    664, Loss  1.189454, Average Loss  1.198251, Time  0.441321
2021-09-27 10:30:57.028813 : Epoch  5, Batch    665, Loss  1.183764, Average Loss  1.198082, Time  0.440053
2021-09-27 10:31:02.942827 : Epoch  5, Batch    666, Loss  1.191782, Average Loss  1.198090, Time  0.442739
2021-09-27 10:31:08.849906 : Epoch  5, Batch    667, Loss  1.191495, Average Loss  1.198179, Time  0.439520
2021-09-27 10:31:14.781474 : Epoch  5, Batch    668, Loss  1.221290, Average Loss  1.198193, Time  0.455366
2021-09-27 10:31:20.685538 : Epoch  5, Batch    669, Loss  1.212391, Average Loss  1.198261, Time  0.439012
2021-09-27 10:31:26.589119 : Epoch  5, Batch    670, Loss  1.209322, Average Loss  1.198382, Time  0.444052
2021-09-27 10:31:32.500197 : Epoch  5, Batch    671, Loss  1.209941, Average Loss  1.198464, Time  0.441163
2021-09-27 10:31:38.397835 : Epoch  5, Batch    672, Loss  1.199208, Average Loss  1.198521, Time  0.439498
2021-09-27 10:31:44.312936 : Epoch  5, Batch    673, Loss  1.203894, Average Loss  1.198565, Time  0.440014
2021-09-27 10:31:50.221530 : Epoch  5, Batch    674, Loss  1.186601, Average Loss  1.198540, Time  0.442789
2021-09-27 10:31:56.124741 : Epoch  5, Batch    675, Loss  1.210355, Average Loss  1.198590, Time  0.438421
2021-09-27 10:32:02.034615 : Epoch  5, Batch    676, Loss  1.205551, Average Loss  1.198686, Time  0.447830
2021-09-27 10:32:07.961364 : Epoch  5, Batch    677, Loss  1.172366, Average Loss  1.198604, Time  0.442689
2021-09-27 10:32:13.875766 : Epoch  5, Batch    678, Loss  1.214408, Average Loss  1.198696, Time  0.438709
2021-09-27 10:32:19.800797 : Epoch  5, Batch    679, Loss  1.203943, Average Loss  1.198718, Time  0.440794
2021-09-27 10:32:25.693905 : Epoch  5, Batch    680, Loss  1.194578, Average Loss  1.198687, Time  0.439348
2021-09-27 10:32:31.608940 : Epoch  5, Batch    681, Loss  1.196867, Average Loss  1.198582, Time  0.440870
2021-09-27 10:32:37.512939 : Epoch  5, Batch    682, Loss  1.193137, Average Loss  1.198665, Time  0.441646
2021-09-27 10:32:43.434307 : Epoch  5, Batch    683, Loss  1.205016, Average Loss  1.198677, Time  0.449734
2021-09-27 10:32:49.350818 : Epoch  5, Batch    684, Loss  1.195590, Average Loss  1.198620, Time  0.439346
2021-09-27 10:32:55.256001 : Epoch  5, Batch    685, Loss  1.189534, Average Loss  1.198460, Time  0.439949
2021-09-27 10:33:01.175993 : Epoch  5, Batch    686, Loss  1.218045, Average Loss  1.198599, Time  0.442667
2021-09-27 10:33:07.083089 : Epoch  5, Batch    687, Loss  1.216104, Average Loss  1.198696, Time  0.439731
2021-09-27 10:33:12.983461 : Epoch  5, Batch    688, Loss  1.192207, Average Loss  1.198589, Time  0.438804
2021-09-27 10:37:51.547666 : CheckPoint: Validation Loss  0.00020384, Best Loss  0.00020384
2021-09-27 10:37:51.592300 : Best Model Updated
2021-09-27 10:37:58.355592 : Epoch  5, Batch    689, Loss  1.188184, Average Loss  1.198495, Time  0.439529
2021-09-27 10:38:04.379767 : Epoch  5, Batch    690, Loss  1.202626, Average Loss  1.198481, Time  0.455743
2021-09-27 10:38:10.386570 : Epoch  5, Batch    691, Loss  1.205181, Average Loss  1.198548, Time  0.440031
2021-09-27 10:38:16.395692 : Epoch  5, Batch    692, Loss  1.198101, Average Loss  1.198524, Time  0.441971
2021-09-27 10:38:22.407370 : Epoch  5, Batch    693, Loss  1.201104, Average Loss  1.198529, Time  0.438675
2021-09-27 10:38:28.431976 : Epoch  5, Batch    694, Loss  1.178543, Average Loss  1.198455, Time  0.447913
2021-09-27 10:38:34.441354 : Epoch  5, Batch    695, Loss  1.204255, Average Loss  1.198454, Time  0.439113
2021-09-27 10:38:40.443910 : Epoch  5, Batch    696, Loss  1.212547, Average Loss  1.198567, Time  0.438497
2021-09-27 10:38:46.456787 : Epoch  5, Batch    697, Loss  1.201397, Average Loss  1.198613, Time  0.439679
2021-09-27 10:38:52.495685 : Epoch  5, Batch    698, Loss  1.184206, Average Loss  1.198613, Time  0.455952
2021-09-27 10:38:58.507634 : Epoch  5, Batch    699, Loss  1.197466, Average Loss  1.198553, Time  0.441657
2021-09-27 10:39:04.519239 : Epoch  5, Batch    700, Loss  1.207280, Average Loss  1.198609, Time  0.442014
2021-09-27 10:39:10.527374 : Epoch  5, Batch    701, Loss  1.191587, Average Loss  1.198617, Time  0.441167
2021-09-27 10:39:16.527759 : Epoch  5, Batch    702, Loss  1.215216, Average Loss  1.198739, Time  0.440737
2021-09-27 10:39:22.542774 : Epoch  5, Batch    703, Loss  1.218191, Average Loss  1.198790, Time  0.440244
2021-09-27 10:39:28.553797 : Epoch  5, Batch    704, Loss  1.196891, Average Loss  1.198770, Time  0.440856
2021-09-27 10:39:34.570737 : Epoch  5, Batch    705, Loss  1.183565, Average Loss  1.198650, Time  0.448395
2021-09-27 10:39:40.576165 : Epoch  5, Batch    706, Loss  1.198890, Average Loss  1.198618, Time  0.440757
2021-09-27 10:39:46.578332 : Epoch  5, Batch    707, Loss  1.196974, Average Loss  1.198622, Time  0.440758
2021-09-27 10:39:52.577974 : Epoch  5, Batch    708, Loss  1.202933, Average Loss  1.198555, Time  0.440500
2021-09-27 10:39:58.584661 : Epoch  5, Batch    709, Loss  1.187761, Average Loss  1.198542, Time  0.440172
2021-09-27 10:40:04.586245 : Epoch  5, Batch    710, Loss  1.200919, Average Loss  1.198537, Time  0.439779
2021-09-27 10:40:10.588402 : Epoch  5, Batch    711, Loss  1.190453, Average Loss  1.198418, Time  0.440471
2021-09-27 10:40:16.599082 : Epoch  5, Batch    712, Loss  1.187089, Average Loss  1.198385, Time  0.439353
2021-09-27 10:40:22.614770 : Epoch  5, Batch    713, Loss  1.215702, Average Loss  1.198517, Time  0.453348
2021-09-27 10:40:28.627659 : Epoch  5, Batch    714, Loss  1.191966, Average Loss  1.198507, Time  0.438542
2021-09-27 10:40:34.652174 : Epoch  5, Batch    715, Loss  1.209349, Average Loss  1.198634, Time  0.439735
2021-09-27 10:40:40.672016 : Epoch  5, Batch    716, Loss  1.200201, Average Loss  1.198616, Time  0.440826
2021-09-27 10:40:46.685139 : Epoch  5, Batch    717, Loss  1.199819, Average Loss  1.198551, Time  0.438982
2021-09-27 10:40:52.704182 : Epoch  5, Batch    718, Loss  1.191840, Average Loss  1.198431, Time  0.439376
2021-09-27 10:40:58.704886 : Epoch  5, Batch    719, Loss  1.192407, Average Loss  1.198489, Time  0.445775
2021-09-27 10:41:04.733823 : Epoch  5, Batch    720, Loss  1.189527, Average Loss  1.198518, Time  0.453402
2021-09-27 10:41:10.754662 : Epoch  5, Batch    721, Loss  1.206409, Average Loss  1.198525, Time  0.438665
2021-09-27 10:41:16.762915 : Epoch  5, Batch    722, Loss  1.209339, Average Loss  1.198638, Time  0.443776
2021-09-27 10:41:22.784465 : Epoch  5, Batch    723, Loss  1.190706, Average Loss  1.198664, Time  0.443704
2021-09-27 10:41:28.795786 : Epoch  5, Batch    724, Loss  1.194670, Average Loss  1.198527, Time  0.440388
2021-09-27 10:41:34.812607 : Epoch  5, Batch    725, Loss  1.202613, Average Loss  1.198593, Time  0.441064
2021-09-27 10:41:40.835468 : Epoch  5, Batch    726, Loss  1.186074, Average Loss  1.198516, Time  0.439949
2021-09-27 10:41:46.850442 : Epoch  5, Batch    727, Loss  1.198404, Average Loss  1.198540, Time  0.439153
2021-09-27 10:41:52.878946 : Epoch  5, Batch    728, Loss  1.198972, Average Loss  1.198430, Time  0.456921
2021-09-27 10:41:58.887129 : Epoch  5, Batch    729, Loss  1.216267, Average Loss  1.198622, Time  0.438872
2021-09-27 10:42:04.909192 : Epoch  5, Batch    730, Loss  1.203054, Average Loss  1.198690, Time  0.442042
2021-09-27 10:42:10.922334 : Epoch  5, Batch    731, Loss  1.189821, Average Loss  1.198650, Time  0.438724
2021-09-27 10:42:16.933751 : Epoch  5, Batch    732, Loss  1.212631, Average Loss  1.198758, Time  0.438617
2021-09-27 10:42:22.950158 : Epoch  5, Batch    733, Loss  1.217959, Average Loss  1.198878, Time  0.442356
2021-09-27 10:42:28.967440 : Epoch  5, Batch    734, Loss  1.190696, Average Loss  1.198845, Time  0.441477
2021-09-27 10:42:34.984207 : Epoch  5, Batch    735, Loss  1.228020, Average Loss  1.199012, Time  0.452771
2021-09-27 10:42:41.006829 : Epoch  5, Batch    736, Loss  1.200367, Average Loss  1.199039, Time  0.440118
2021-09-27 10:42:47.039492 : Epoch  5, Batch    737, Loss  1.201309, Average Loss  1.199054, Time  0.440888
2021-09-27 10:42:53.051964 : Epoch  5, Batch    738, Loss  1.193164, Average Loss  1.199026, Time  0.439650
2021-09-27 10:42:59.070392 : Epoch  5, Batch    739, Loss  1.211757, Average Loss  1.199110, Time  0.440831
2021-09-27 10:43:05.078872 : Epoch  5, Batch    740, Loss  1.204849, Average Loss  1.199151, Time  0.439434
2021-09-27 10:43:11.100811 : Epoch  5, Batch    741, Loss  1.196711, Average Loss  1.199230, Time  0.439874
2021-09-27 10:43:17.114833 : Epoch  5, Batch    742, Loss  1.194614, Average Loss  1.199205, Time  0.440078
2021-09-27 10:43:23.146766 : Epoch  5, Batch    743, Loss  1.202782, Average Loss  1.199152, Time  0.450206
2021-09-27 10:43:29.146829 : Epoch  5, Batch    744, Loss  1.174499, Average Loss  1.199134, Time  0.439402
2021-09-27 10:43:35.159865 : Epoch  5, Batch    745, Loss  1.202082, Average Loss  1.199137, Time  0.441572
2021-09-27 10:43:41.164893 : Epoch  5, Batch    746, Loss  1.180898, Average Loss  1.198899, Time  0.442878
2021-09-27 10:43:47.194201 : Epoch  5, Batch    747, Loss  1.217514, Average Loss  1.199027, Time  0.440568
2021-09-27 10:43:53.206148 : Epoch  5, Batch    748, Loss  1.213573, Average Loss  1.199065, Time  0.439277
2021-09-27 10:43:59.213390 : Epoch  5, Batch    749, Loss  1.202703, Average Loss  1.199035, Time  0.439062
2021-09-27 10:44:05.240907 : Epoch  5, Batch    750, Loss  1.204964, Average Loss  1.199079, Time  0.456116
2021-09-27 10:44:11.257572 : Epoch  5, Batch    751, Loss  1.190185, Average Loss  1.199066, Time  0.439997
2021-09-27 10:44:17.263610 : Epoch  5, Batch    752, Loss  1.184554, Average Loss  1.198986, Time  0.439101
2021-09-27 10:44:23.275889 : Epoch  5, Batch    753, Loss  1.186393, Average Loss  1.198971, Time  0.440227
2021-09-27 10:44:29.285918 : Epoch  5, Batch    754, Loss  1.199153, Average Loss  1.198911, Time  0.442390
2021-09-27 10:44:35.288782 : Epoch  5, Batch    755, Loss  1.185038, Average Loss  1.198795, Time  0.440485
2021-09-27 10:44:41.285078 : Epoch  5, Batch    756, Loss  1.195213, Average Loss  1.198873, Time  0.442807
2021-09-27 10:44:47.296896 : Epoch  5, Batch    757, Loss  1.196766, Average Loss  1.198867, Time  0.439933
2021-09-27 10:44:53.315418 : Epoch  5, Batch    758, Loss  1.194792, Average Loss  1.198938, Time  0.453686
2021-09-27 10:44:59.329362 : Epoch  5, Batch    759, Loss  1.185161, Average Loss  1.198785, Time  0.441452
2021-09-27 10:45:05.339577 : Epoch  5, Batch    760, Loss  1.192924, Average Loss  1.198793, Time  0.439670
2021-09-27 10:45:11.349606 : Epoch  5, Batch    761, Loss  1.206145, Average Loss  1.198884, Time  0.439679
2021-09-27 10:45:17.354467 : Epoch  5, Batch    762, Loss  1.200202, Average Loss  1.198845, Time  0.440567
2021-09-27 10:45:23.373230 : Epoch  5, Batch    763, Loss  1.198407, Average Loss  1.198912, Time  0.440383
2021-09-27 10:45:29.400394 : Epoch  5, Batch    764, Loss  1.197440, Average Loss  1.198870, Time  0.440335
2021-09-27 10:45:35.420793 : Epoch  5, Batch    765, Loss  1.186907, Average Loss  1.198789, Time  0.442815
2021-09-27 10:45:41.455850 : Epoch  5, Batch    766, Loss  1.182447, Average Loss  1.198819, Time  0.456738
2021-09-27 10:45:47.466752 : Epoch  5, Batch    767, Loss  1.209500, Average Loss  1.198938, Time  0.440887
2021-09-27 10:45:53.478355 : Epoch  5, Batch    768, Loss  1.170322, Average Loss  1.198845, Time  0.442144
2021-09-27 10:45:59.488240 : Epoch  5, Batch    769, Loss  1.188850, Average Loss  1.198753, Time  0.440953
2021-09-27 10:46:05.509707 : Epoch  5, Batch    770, Loss  1.194901, Average Loss  1.198741, Time  0.442848
2021-09-27 10:46:11.537992 : Epoch  5, Batch    771, Loss  1.211053, Average Loss  1.198900, Time  0.438666
2021-09-27 10:46:17.552095 : Epoch  5, Batch    772, Loss  1.217645, Average Loss  1.199014, Time  0.439814
2021-09-27 10:46:23.560181 : Epoch  5, Batch    773, Loss  1.205890, Average Loss  1.198978, Time  0.441140
2021-09-27 10:46:29.578035 : Epoch  5, Batch    774, Loss  1.185631, Average Loss  1.198953, Time  0.455571
2021-09-27 10:46:35.598757 : Epoch  5, Batch    775, Loss  1.190413, Average Loss  1.198858, Time  0.439821
2021-09-27 10:46:41.597775 : Epoch  5, Batch    776, Loss  1.191710, Average Loss  1.198781, Time  0.438969
2021-09-27 10:46:47.603589 : Epoch  5, Batch    777, Loss  1.188711, Average Loss  1.198721, Time  0.438255
2021-09-27 10:46:53.616189 : Epoch  5, Batch    778, Loss  1.207282, Average Loss  1.198733, Time  0.441851
2021-09-27 10:46:59.641824 : Epoch  5, Batch    779, Loss  1.194214, Average Loss  1.198712, Time  0.440215
2021-09-27 10:47:05.650782 : Epoch  5, Batch    780, Loss  1.204392, Average Loss  1.198703, Time  0.438747
2021-09-27 10:47:11.704170 : Epoch  5, Batch    781, Loss  1.177025, Average Loss  1.198577, Time  0.455200
2021-09-27 10:47:17.720787 : Epoch  5, Batch    782, Loss  1.199669, Average Loss  1.198590, Time  0.442187
2021-09-27 10:47:23.733825 : Epoch  5, Batch    783, Loss  1.209625, Average Loss  1.198672, Time  0.440939
2021-09-27 10:47:29.749976 : Epoch  5, Batch    784, Loss  1.199116, Average Loss  1.198701, Time  0.442663
2021-09-27 10:47:35.765439 : Epoch  5, Batch    785, Loss  1.187843, Average Loss  1.198641, Time  0.443144
2021-09-27 10:47:41.766768 : Epoch  5, Batch    786, Loss  1.184864, Average Loss  1.198596, Time  0.440863
2021-09-27 10:47:47.774014 : Epoch  5, Batch    787, Loss  1.196243, Average Loss  1.198633, Time  0.439670
2021-09-27 10:47:53.781793 : Epoch  5, Batch    788, Loss  1.196981, Average Loss  1.198628, Time  0.438311
2021-09-27 10:52:30.764720 : CheckPoint: Validation Loss  0.00020891, Best Loss  0.00020384
2021-09-27 10:52:36.729275 : Epoch  5, Batch    789, Loss  1.197605, Average Loss  1.198653, Time  0.457287
2021-09-27 10:52:42.668191 : Epoch  5, Batch    790, Loss  1.189652, Average Loss  1.198618, Time  0.438512
2021-09-27 10:52:48.635444 : Epoch  5, Batch    791, Loss  1.190383, Average Loss  1.198591, Time  0.440923
2021-09-27 10:52:54.577557 : Epoch  5, Batch    792, Loss  1.191301, Average Loss  1.198509, Time  0.441020
2021-09-27 10:53:00.534700 : Epoch  5, Batch    793, Loss  1.195589, Average Loss  1.198531, Time  0.440276
2021-09-27 10:53:06.485790 : Epoch  5, Batch    794, Loss  1.191577, Average Loss  1.198505, Time  0.438169
2021-09-27 10:53:12.431823 : Epoch  5, Batch    795, Loss  1.203109, Average Loss  1.198423, Time  0.439857
2021-09-27 10:53:18.397144 : Epoch  5, Batch    796, Loss  1.229347, Average Loss  1.198560, Time  0.441061
2021-09-27 10:53:24.359781 : Epoch  5, Batch    797, Loss  1.197447, Average Loss  1.198547, Time  0.457576
2021-09-27 10:53:30.322130 : Epoch  5, Batch    798, Loss  1.196502, Average Loss  1.198497, Time  0.439322
2021-09-27 10:53:36.272847 : Epoch  5, Batch    799, Loss  1.199063, Average Loss  1.198484, Time  0.439266
2021-09-27 10:53:42.229729 : Epoch  5, Batch    800, Loss  1.194078, Average Loss  1.198411, Time  0.440639
2021-09-27 10:53:48.177490 : Epoch  5, Batch    801, Loss  1.208443, Average Loss  1.198412, Time  0.440432
2021-09-27 10:53:54.122226 : Epoch  5, Batch    802, Loss  1.196083, Average Loss  1.198351, Time  0.438579
2021-09-27 10:54:00.082002 : Epoch  5, Batch    803, Loss  1.206361, Average Loss  1.198379, Time  0.441242
2021-09-27 10:54:06.040244 : Epoch  5, Batch    804, Loss  1.209164, Average Loss  1.198379, Time  0.441349
2021-09-27 10:54:12.010423 : Epoch  5, Batch    805, Loss  1.194006, Average Loss  1.198341, Time  0.454359
2021-09-27 10:54:17.961497 : Epoch  5, Batch    806, Loss  1.207730, Average Loss  1.198501, Time  0.441639
2021-09-27 10:54:23.932792 : Epoch  5, Batch    807, Loss  1.208513, Average Loss  1.198517, Time  0.441023
2021-09-27 10:54:29.882292 : Epoch  5, Batch    808, Loss  1.194261, Average Loss  1.198576, Time  0.439255
2021-09-27 10:54:35.836814 : Epoch  5, Batch    809, Loss  1.196424, Average Loss  1.198519, Time  0.439866
2021-09-27 10:54:41.805780 : Epoch  5, Batch    810, Loss  1.187959, Average Loss  1.198498, Time  0.439495
2021-09-27 10:54:47.755613 : Epoch  5, Batch    811, Loss  1.197711, Average Loss  1.198529, Time  0.439590
2021-09-27 10:54:53.723247 : Epoch  5, Batch    812, Loss  1.208471, Average Loss  1.198583, Time  0.447331
2021-09-27 10:54:59.711882 : Epoch  5, Batch    813, Loss  1.188968, Average Loss  1.198576, Time  0.438628
2021-09-27 10:55:05.674145 : Epoch  5, Batch    814, Loss  1.182778, Average Loss  1.198461, Time  0.439373
2021-09-27 10:55:11.631777 : Epoch  5, Batch    815, Loss  1.208062, Average Loss  1.198509, Time  0.438683
2021-09-27 10:55:17.599769 : Epoch  5, Batch    816, Loss  1.208628, Average Loss  1.198509, Time  0.440121
2021-09-27 10:55:23.545237 : Epoch  5, Batch    817, Loss  1.197537, Average Loss  1.198448, Time  0.438800
2021-09-27 10:55:29.488767 : Epoch  5, Batch    818, Loss  1.200427, Average Loss  1.198397, Time  0.439782
2021-09-27 10:55:35.437766 : Epoch  5, Batch    819, Loss  1.188611, Average Loss  1.198234, Time  0.441000
2021-09-27 10:55:41.406813 : Epoch  5, Batch    820, Loss  1.199499, Average Loss  1.198255, Time  0.455759
2021-09-27 10:55:47.366855 : Epoch  5, Batch    821, Loss  1.198640, Average Loss  1.198327, Time  0.440820
2021-09-27 10:55:53.314862 : Epoch  5, Batch    822, Loss  1.210101, Average Loss  1.198407, Time  0.439516
2021-09-27 10:55:59.281039 : Epoch  5, Batch    823, Loss  1.196710, Average Loss  1.198392, Time  0.441220
2021-09-27 10:56:05.236558 : Epoch  5, Batch    824, Loss  1.200452, Average Loss  1.198378, Time  0.439598
2021-09-27 10:56:11.181816 : Epoch  5, Batch    825, Loss  1.190517, Average Loss  1.198318, Time  0.439284
2021-09-27 10:56:17.137014 : Epoch  5, Batch    826, Loss  1.185635, Average Loss  1.198233, Time  0.439645
2021-09-27 10:56:23.095042 : Epoch  5, Batch    827, Loss  1.190287, Average Loss  1.198118, Time  0.439111
2021-09-27 10:56:29.072741 : Epoch  5, Batch    828, Loss  1.189037, Average Loss  1.198097, Time  0.453920
2021-09-27 10:56:35.034515 : Epoch  5, Batch    829, Loss  1.172556, Average Loss  1.197968, Time  0.443058
2021-09-27 10:56:40.983180 : Epoch  5, Batch    830, Loss  1.184606, Average Loss  1.197897, Time  0.438154
2021-09-27 10:56:46.934553 : Epoch  5, Batch    831, Loss  1.185591, Average Loss  1.197810, Time  0.438959
2021-09-27 10:56:52.871805 : Epoch  5, Batch    832, Loss  1.194857, Average Loss  1.197805, Time  0.438640
2021-09-27 10:56:58.825300 : Epoch  5, Batch    833, Loss  1.195994, Average Loss  1.197791, Time  0.439550
2021-09-27 10:57:04.786193 : Epoch  5, Batch    834, Loss  1.190827, Average Loss  1.197752, Time  0.443602
2021-09-27 10:57:10.753609 : Epoch  5, Batch    835, Loss  1.201270, Average Loss  1.197799, Time  0.447419
2021-09-27 10:57:16.707693 : Epoch  5, Batch    836, Loss  1.194745, Average Loss  1.197880, Time  0.440546
2021-09-27 10:57:22.673266 : Epoch  5, Batch    837, Loss  1.204994, Average Loss  1.197894, Time  0.440662
2021-09-27 10:57:28.632771 : Epoch  5, Batch    838, Loss  1.186293, Average Loss  1.197868, Time  0.438806
2021-09-27 10:57:34.583354 : Epoch  5, Batch    839, Loss  1.188685, Average Loss  1.197801, Time  0.443101
2021-09-27 10:57:40.535277 : Epoch  5, Batch    840, Loss  1.191786, Average Loss  1.197739, Time  0.439381
2021-09-27 10:57:46.488772 : Epoch  5, Batch    841, Loss  1.191574, Average Loss  1.197696, Time  0.438853
2021-09-27 10:57:52.453984 : Epoch  5, Batch    842, Loss  1.190566, Average Loss  1.197658, Time  0.441499
2021-09-27 10:57:58.430777 : Epoch  5, Batch    843, Loss  1.210239, Average Loss  1.197832, Time  0.458525
2021-09-27 10:58:04.383576 : Epoch  5, Batch    844, Loss  1.180570, Average Loss  1.197781, Time  0.438915
2021-09-27 10:58:10.327486 : Epoch  5, Batch    845, Loss  1.203470, Average Loss  1.197834, Time  0.439059
2021-09-27 10:58:16.292706 : Epoch  5, Batch    846, Loss  1.193563, Average Loss  1.197853, Time  0.441482
2021-09-27 10:58:22.256004 : Epoch  5, Batch    847, Loss  1.195524, Average Loss  1.197752, Time  0.441354
2021-09-27 10:58:28.198786 : Epoch  5, Batch    848, Loss  1.191184, Average Loss  1.197775, Time  0.440123
2021-09-27 10:58:34.150561 : Epoch  5, Batch    849, Loss  1.180695, Average Loss  1.197655, Time  0.440448
2021-09-27 10:58:40.119097 : Epoch  5, Batch    850, Loss  1.184241, Average Loss  1.197516, Time  0.440858
2021-09-27 10:58:46.093448 : Epoch  5, Batch    851, Loss  1.183228, Average Loss  1.197329, Time  0.452431
2021-09-27 10:58:52.061486 : Epoch  5, Batch    852, Loss  1.182003, Average Loss  1.197289, Time  0.439777
2021-09-27 10:58:58.060696 : Epoch  5, Batch    853, Loss  1.197887, Average Loss  1.197215, Time  0.439377
2021-09-27 10:59:04.014836 : Epoch  5, Batch    854, Loss  1.195718, Average Loss  1.197189, Time  0.438434
2021-09-27 10:59:09.966674 : Epoch  5, Batch    855, Loss  1.215571, Average Loss  1.197278, Time  0.439275
2021-09-27 10:59:15.911060 : Epoch  5, Batch    856, Loss  1.196239, Average Loss  1.197312, Time  0.439262
2021-09-27 10:59:21.899069 : Epoch  5, Batch    857, Loss  1.201190, Average Loss  1.197304, Time  0.440129
2021-09-27 10:59:27.863843 : Epoch  5, Batch    858, Loss  1.197288, Average Loss  1.197387, Time  0.454253
2021-09-27 10:59:33.832127 : Epoch  5, Batch    859, Loss  1.187586, Average Loss  1.197356, Time  0.443314
2021-09-27 10:59:39.780723 : Epoch  5, Batch    860, Loss  1.187062, Average Loss  1.197351, Time  0.438743
2021-09-27 10:59:45.734917 : Epoch  5, Batch    861, Loss  1.213521, Average Loss  1.197430, Time  0.439308
2021-09-27 10:59:51.697566 : Epoch  5, Batch    862, Loss  1.184809, Average Loss  1.197364, Time  0.439229
2021-09-27 10:59:57.657551 : Epoch  5, Batch    863, Loss  1.206587, Average Loss  1.197396, Time  0.438532
2021-09-27 11:00:03.609170 : Epoch  5, Batch    864, Loss  1.194029, Average Loss  1.197419, Time  0.440164
2021-09-27 11:00:09.594663 : Epoch  5, Batch    865, Loss  1.190610, Average Loss  1.197453, Time  0.438416
2021-09-27 11:00:15.575970 : Epoch  5, Batch    866, Loss  1.198167, Average Loss  1.197485, Time  0.450301
2021-09-27 11:00:21.522746 : Epoch  5, Batch    867, Loss  1.187422, Average Loss  1.197465, Time  0.438617
2021-09-27 11:00:27.466104 : Epoch  5, Batch    868, Loss  1.189484, Average Loss  1.197306, Time  0.440593
2021-09-27 11:00:33.416663 : Epoch  5, Batch    869, Loss  1.197672, Average Loss  1.197232, Time  0.442686
2021-09-27 11:00:39.362127 : Epoch  5, Batch    870, Loss  1.201939, Average Loss  1.197195, Time  0.440777
2021-09-27 11:00:45.313764 : Epoch  5, Batch    871, Loss  1.195436, Average Loss  1.197123, Time  0.440756
2021-09-27 11:00:51.275991 : Epoch  5, Batch    872, Loss  1.197439, Average Loss  1.197114, Time  0.438771
2021-09-27 11:00:57.235401 : Epoch  5, Batch    873, Loss  1.194284, Average Loss  1.197066, Time  0.439260
2021-09-27 11:01:03.211799 : Epoch  5, Batch    874, Loss  1.198435, Average Loss  1.197125, Time  0.449260
2021-09-27 11:01:09.174065 : Epoch  5, Batch    875, Loss  1.194896, Average Loss  1.197048, Time  0.442183
2021-09-27 11:01:15.131047 : Epoch  5, Batch    876, Loss  1.190067, Average Loss  1.196970, Time  0.441323
2021-09-27 11:01:21.090872 : Epoch  5, Batch    877, Loss  1.215470, Average Loss  1.197186, Time  0.439070
2021-09-27 11:01:27.039855 : Epoch  5, Batch    878, Loss  1.202463, Average Loss  1.197126, Time  0.440176
2021-09-27 11:01:32.995694 : Epoch  5, Batch    879, Loss  1.221322, Average Loss  1.197213, Time  0.438852
2021-09-27 11:01:38.919597 : Epoch  5, Batch    880, Loss  1.202717, Average Loss  1.197254, Time  0.439790
2021-09-27 11:01:44.877733 : Epoch  5, Batch    881, Loss  1.193215, Average Loss  1.197235, Time  0.455882
2021-09-27 11:01:50.836118 : Epoch  5, Batch    882, Loss  1.189986, Average Loss  1.197220, Time  0.439537
2021-09-27 11:01:56.786772 : Epoch  5, Batch    883, Loss  1.209044, Average Loss  1.197240, Time  0.440456
2021-09-27 11:02:02.742363 : Epoch  5, Batch    884, Loss  1.225291, Average Loss  1.197388, Time  0.439090
2021-09-27 11:02:08.688950 : Epoch  5, Batch    885, Loss  1.194474, Average Loss  1.197413, Time  0.439910
2021-09-27 11:02:14.644869 : Epoch  5, Batch    886, Loss  1.194584, Average Loss  1.197296, Time  0.438581
2021-09-27 11:02:20.583478 : Epoch  5, Batch    887, Loss  1.197336, Average Loss  1.197202, Time  0.438729
2021-09-27 11:02:26.529249 : Epoch  5, Batch    888, Loss  1.196285, Average Loss  1.197222, Time  0.440702
2021-09-27 11:07:05.024450 : CheckPoint: Validation Loss  0.00020959, Best Loss  0.00020384
2021-09-27 11:07:10.919925 : Epoch  5, Batch    889, Loss  1.181487, Average Loss  1.197189, Time  0.442371
2021-09-27 11:07:16.876272 : Epoch  5, Batch    890, Loss  1.189096, Average Loss  1.197121, Time  0.441251
2021-09-27 11:07:22.820746 : Epoch  5, Batch    891, Loss  1.195931, Average Loss  1.197075, Time  0.439283
2021-09-27 11:07:28.759113 : Epoch  5, Batch    892, Loss  1.202916, Average Loss  1.197099, Time  0.440011
2021-09-27 11:07:34.702818 : Epoch  5, Batch    893, Loss  1.208648, Average Loss  1.197137, Time  0.440149
2021-09-27 11:07:40.638185 : Epoch  5, Batch    894, Loss  1.219367, Average Loss  1.197341, Time  0.442363
2021-09-27 11:07:46.581827 : Epoch  5, Batch    895, Loss  1.213655, Average Loss  1.197388, Time  0.442529
2021-09-27 11:07:52.516466 : Epoch  5, Batch    896, Loss  1.212816, Average Loss  1.197389, Time  0.446212
2021-09-27 11:07:58.447655 : Epoch  5, Batch    897, Loss  1.184103, Average Loss  1.197303, Time  0.438941
2021-09-27 11:08:04.384787 : Epoch  5, Batch    898, Loss  1.202442, Average Loss  1.197394, Time  0.439817
2021-09-27 11:08:10.315361 : Epoch  5, Batch    899, Loss  1.193230, Average Loss  1.197373, Time  0.439769
2021-09-27 11:08:16.241155 : Epoch  5, Batch    900, Loss  1.212867, Average Loss  1.197401, Time  0.440469
2021-09-27 11:08:22.177288 : Epoch  5, Batch    901, Loss  1.205910, Average Loss  1.197472, Time  0.439404
2021-09-27 11:08:28.110054 : Epoch  5, Batch    902, Loss  1.196375, Average Loss  1.197378, Time  0.439830
2021-09-27 11:08:34.040765 : Epoch  5, Batch    903, Loss  1.198734, Average Loss  1.197281, Time  0.440687
2021-09-27 11:08:39.984737 : Epoch  5, Batch    904, Loss  1.202940, Average Loss  1.197311, Time  0.445946
2021-09-27 11:08:45.930768 : Epoch  5, Batch    905, Loss  1.194179, Average Loss  1.197364, Time  0.440273
2021-09-27 11:08:51.868679 : Epoch  5, Batch    906, Loss  1.194302, Average Loss  1.197341, Time  0.437876
2021-09-27 11:08:57.797902 : Epoch  5, Batch    907, Loss  1.209138, Average Loss  1.197402, Time  0.441541
2021-09-27 11:09:03.731034 : Epoch  5, Batch    908, Loss  1.180444, Average Loss  1.197289, Time  0.440484
2021-09-27 11:09:09.674754 : Epoch  5, Batch    909, Loss  1.207013, Average Loss  1.197386, Time  0.438737
2021-09-27 11:09:15.625817 : Epoch  5, Batch    910, Loss  1.205221, Average Loss  1.197407, Time  0.439074
2021-09-27 11:09:21.556536 : Epoch  5, Batch    911, Loss  1.200393, Average Loss  1.197457, Time  0.439417
2021-09-27 11:09:27.502787 : Epoch  5, Batch    912, Loss  1.192248, Average Loss  1.197483, Time  0.458088
2021-09-27 11:09:33.437753 : Epoch  5, Batch    913, Loss  1.198486, Average Loss  1.197397, Time  0.440694
2021-09-27 11:09:39.367800 : Epoch  5, Batch    914, Loss  1.186426, Average Loss  1.197369, Time  0.439492
2021-09-27 11:09:45.294800 : Epoch  5, Batch    915, Loss  1.218003, Average Loss  1.197412, Time  0.445680
2021-09-27 11:09:51.228666 : Epoch  5, Batch    916, Loss  1.209151, Average Loss  1.197457, Time  0.439805
2021-09-27 11:09:57.159829 : Epoch  5, Batch    917, Loss  1.200085, Average Loss  1.197458, Time  0.440228
2021-09-27 11:10:03.089466 : Epoch  5, Batch    918, Loss  1.210213, Average Loss  1.197550, Time  0.438343
2021-09-27 11:10:09.027821 : Epoch  5, Batch    919, Loss  1.207149, Average Loss  1.197624, Time  0.440338
2021-09-27 11:10:14.960352 : Epoch  5, Batch    920, Loss  1.198108, Average Loss  1.197667, Time  0.456646
2021-09-27 11:10:20.896313 : Epoch  5, Batch    921, Loss  1.182493, Average Loss  1.197547, Time  0.440014
2021-09-27 11:10:26.832062 : Epoch  5, Batch    922, Loss  1.185699, Average Loss  1.197429, Time  0.440480
2021-09-27 11:10:32.766785 : Epoch  5, Batch    923, Loss  1.190200, Average Loss  1.197426, Time  0.440409
2021-09-27 11:10:38.707621 : Epoch  5, Batch    924, Loss  1.198944, Average Loss  1.197448, Time  0.441252
2021-09-27 11:10:44.644922 : Epoch  5, Batch    925, Loss  1.187346, Average Loss  1.197371, Time  0.439990
2021-09-27 11:10:50.586779 : Epoch  5, Batch    926, Loss  1.221079, Average Loss  1.197547, Time  0.438619
2021-09-27 11:10:56.530384 : Epoch  5, Batch    927, Loss  1.204171, Average Loss  1.197575, Time  0.452320
2021-09-27 11:11:02.465924 : Epoch  5, Batch    928, Loss  1.190385, Average Loss  1.197532, Time  0.440605
2021-09-27 11:11:02.501511 : Saving Model after 5-th Epoch.
2021-09-27 11:11:03.201838 : Epoch Finished.
2021-09-27 11:11:08.765581 : Batch Shuffled
2021-09-27 11:11:14.666701 : Epoch  6, Batch      1, Loss  1.198437, Average Loss  1.197443, Time  0.440407
2021-09-27 11:11:20.555879 : Epoch  6, Batch      2, Loss  1.202453, Average Loss  1.197440, Time  0.441734
2021-09-27 11:11:26.449065 : Epoch  6, Batch      3, Loss  1.194068, Average Loss  1.197461, Time  0.441142
2021-09-27 11:11:32.332468 : Epoch  6, Batch      4, Loss  1.202327, Average Loss  1.197410, Time  0.443111
2021-09-27 11:11:38.226403 : Epoch  6, Batch      5, Loss  1.196774, Average Loss  1.197304, Time  0.440192
2021-09-27 11:11:44.119514 : Epoch  6, Batch      6, Loss  1.202248, Average Loss  1.197362, Time  0.450836
2021-09-27 11:11:50.015094 : Epoch  6, Batch      7, Loss  1.189896, Average Loss  1.197171, Time  0.440480
2021-09-27 11:11:55.901784 : Epoch  6, Batch      8, Loss  1.179059, Average Loss  1.197065, Time  0.442622
2021-09-27 11:12:01.792124 : Epoch  6, Batch      9, Loss  1.202552, Average Loss  1.197071, Time  0.439050
2021-09-27 11:12:07.680797 : Epoch  6, Batch     10, Loss  1.187635, Average Loss  1.197043, Time  0.442255
2021-09-27 11:12:13.577147 : Epoch  6, Batch     11, Loss  1.185846, Average Loss  1.196914, Time  0.439427
2021-09-27 11:12:19.483943 : Epoch  6, Batch     12, Loss  1.202897, Average Loss  1.196904, Time  0.442587
2021-09-27 11:12:25.374204 : Epoch  6, Batch     13, Loss  1.192503, Average Loss  1.196883, Time  0.440875
2021-09-27 11:12:31.275146 : Epoch  6, Batch     14, Loss  1.194428, Average Loss  1.196882, Time  0.445628
2021-09-27 11:12:37.177849 : Epoch  6, Batch     15, Loss  1.203796, Average Loss  1.196887, Time  0.439667
2021-09-27 11:12:43.055532 : Epoch  6, Batch     16, Loss  1.213839, Average Loss  1.197084, Time  0.438705
2021-09-27 11:12:48.951979 : Epoch  6, Batch     17, Loss  1.206143, Average Loss  1.197104, Time  0.440495
2021-09-27 11:12:54.838821 : Epoch  6, Batch     18, Loss  1.197523, Average Loss  1.197187, Time  0.440787
2021-09-27 11:13:00.721241 : Epoch  6, Batch     19, Loss  1.193509, Average Loss  1.197067, Time  0.438390
2021-09-27 11:13:06.603776 : Epoch  6, Batch     20, Loss  1.214899, Average Loss  1.197074, Time  0.440516
2021-09-27 11:13:12.483981 : Epoch  6, Batch     21, Loss  1.191695, Average Loss  1.197019, Time  0.441449
2021-09-27 11:13:18.367060 : Epoch  6, Batch     22, Loss  1.207509, Average Loss  1.197031, Time  0.450471
2021-09-27 11:13:24.257739 : Epoch  6, Batch     23, Loss  1.201522, Average Loss  1.197088, Time  0.440069
2021-09-27 11:13:30.147445 : Epoch  6, Batch     24, Loss  1.192282, Average Loss  1.197127, Time  0.440318
2021-09-27 11:13:36.029942 : Epoch  6, Batch     25, Loss  1.187746, Average Loss  1.197133, Time  0.440085
2021-09-27 11:13:41.925611 : Epoch  6, Batch     26, Loss  1.207837, Average Loss  1.197177, Time  0.439364
2021-09-27 11:13:47.811259 : Epoch  6, Batch     27, Loss  1.192312, Average Loss  1.197213, Time  0.439172
2021-09-27 11:13:53.704757 : Epoch  6, Batch     28, Loss  1.189901, Average Loss  1.197187, Time  0.438445
2021-09-27 11:13:59.603312 : Epoch  6, Batch     29, Loss  1.197811, Average Loss  1.197192, Time  0.440231
2021-09-27 11:14:05.487786 : Epoch  6, Batch     30, Loss  1.192527, Average Loss  1.197181, Time  0.450393
2021-09-27 11:14:11.377347 : Epoch  6, Batch     31, Loss  1.208176, Average Loss  1.197296, Time  0.439631
2021-09-27 11:14:17.279641 : Epoch  6, Batch     32, Loss  1.189896, Average Loss  1.197281, Time  0.440517
2021-09-27 11:14:23.171774 : Epoch  6, Batch     33, Loss  1.185295, Average Loss  1.197176, Time  0.440757
2021-09-27 11:14:29.064299 : Epoch  6, Batch     34, Loss  1.190962, Average Loss  1.197130, Time  0.438688
2021-09-27 11:14:34.960346 : Epoch  6, Batch     35, Loss  1.208127, Average Loss  1.197179, Time  0.443310
2021-09-27 11:14:40.848301 : Epoch  6, Batch     36, Loss  1.196921, Average Loss  1.197176, Time  0.439100
2021-09-27 11:14:46.744124 : Epoch  6, Batch     37, Loss  1.206582, Average Loss  1.197274, Time  0.442160
2021-09-27 11:14:52.647770 : Epoch  6, Batch     38, Loss  1.178709, Average Loss  1.197256, Time  0.449866
2021-09-27 11:14:58.538884 : Epoch  6, Batch     39, Loss  1.183106, Average Loss  1.197124, Time  0.440590
2021-09-27 11:15:04.423802 : Epoch  6, Batch     40, Loss  1.202207, Average Loss  1.197283, Time  0.439376
2021-09-27 11:15:10.326060 : Epoch  6, Batch     41, Loss  1.202909, Average Loss  1.197354, Time  0.444349
2021-09-27 11:15:16.214096 : Epoch  6, Batch     42, Loss  1.176484, Average Loss  1.197261, Time  0.439396
2021-09-27 11:15:22.093876 : Epoch  6, Batch     43, Loss  1.212903, Average Loss  1.197271, Time  0.439864
2021-09-27 11:15:27.979383 : Epoch  6, Batch     44, Loss  1.203296, Average Loss  1.197199, Time  0.438721
2021-09-27 11:15:33.882100 : Epoch  6, Batch     45, Loss  1.189908, Average Loss  1.197119, Time  0.439524
2021-09-27 11:15:39.774256 : Epoch  6, Batch     46, Loss  1.183817, Average Loss  1.197110, Time  0.448745
2021-09-27 11:15:45.657921 : Epoch  6, Batch     47, Loss  1.192438, Average Loss  1.197120, Time  0.438607
2021-09-27 11:15:51.539066 : Epoch  6, Batch     48, Loss  1.199801, Average Loss  1.197161, Time  0.440070
2021-09-27 11:15:57.427175 : Epoch  6, Batch     49, Loss  1.195539, Average Loss  1.197195, Time  0.441901
2021-09-27 11:16:03.316862 : Epoch  6, Batch     50, Loss  1.216395, Average Loss  1.197240, Time  0.441078
2021-09-27 11:16:09.208055 : Epoch  6, Batch     51, Loss  1.186009, Average Loss  1.197199, Time  0.439792
2021-09-27 11:16:15.082281 : Epoch  6, Batch     52, Loss  1.201787, Average Loss  1.197186, Time  0.438867
2021-09-27 11:16:20.969316 : Epoch  6, Batch     53, Loss  1.203239, Average Loss  1.197317, Time  0.440830
2021-09-27 11:16:26.874813 : Epoch  6, Batch     54, Loss  1.214515, Average Loss  1.197392, Time  0.450746
2021-09-27 11:16:32.759210 : Epoch  6, Batch     55, Loss  1.190890, Average Loss  1.197298, Time  0.440205
2021-09-27 11:16:38.631889 : Epoch  6, Batch     56, Loss  1.196787, Average Loss  1.197286, Time  0.438397
2021-09-27 11:16:44.513979 : Epoch  6, Batch     57, Loss  1.186475, Average Loss  1.197279, Time  0.438314
2021-09-27 11:16:50.398188 : Epoch  6, Batch     58, Loss  1.193760, Average Loss  1.197324, Time  0.439444
2021-09-27 11:16:56.284239 : Epoch  6, Batch     59, Loss  1.204990, Average Loss  1.197368, Time  0.439402
2021-09-27 11:17:02.174652 : Epoch  6, Batch     60, Loss  1.192423, Average Loss  1.197345, Time  0.439252
2021-09-27 11:21:12.798160 : CheckPoint: Validation Loss  0.00020446, Best Loss  0.00020384
2021-09-27 11:21:18.073696 : Epoch  6, Batch     61, Loss  1.204807, Average Loss  1.197381, Time  0.434777
2021-09-27 11:21:23.338555 : Epoch  6, Batch     62, Loss  1.190066, Average Loss  1.197383, Time  0.435297
2021-09-27 11:21:28.766014 : Epoch  6, Batch     63, Loss  1.192493, Average Loss  1.197393, Time  0.436973
2021-09-27 11:21:34.331917 : Epoch  6, Batch     64, Loss  1.189086, Average Loss  1.197382, Time  0.435135
2021-09-27 11:21:39.927850 : Epoch  6, Batch     65, Loss  1.181284, Average Loss  1.197311, Time  0.437304
2021-09-27 11:21:45.611033 : Epoch  6, Batch     66, Loss  1.194431, Average Loss  1.197325, Time  0.447612
2021-09-27 11:21:51.226541 : Epoch  6, Batch     67, Loss  1.185340, Average Loss  1.197236, Time  0.436199
2021-09-27 11:21:56.711094 : Epoch  6, Batch     68, Loss  1.210103, Average Loss  1.197140, Time  0.437366
2021-09-27 11:22:02.162867 : Epoch  6, Batch     69, Loss  1.203166, Average Loss  1.197169, Time  0.435793
2021-09-27 11:22:07.696908 : Epoch  6, Batch     70, Loss  1.197912, Average Loss  1.197176, Time  0.441815
2021-09-27 11:22:13.286759 : Epoch  6, Batch     71, Loss  1.188370, Average Loss  1.197122, Time  0.439725
2021-09-27 11:22:18.821892 : Epoch  6, Batch     72, Loss  1.208379, Average Loss  1.197194, Time  0.438850
2021-09-27 11:22:24.418441 : Epoch  6, Batch     73, Loss  1.196084, Average Loss  1.197132, Time  0.439066
2021-09-27 11:22:30.053811 : Epoch  6, Batch     74, Loss  1.187127, Average Loss  1.197087, Time  0.449028
2021-09-27 11:22:35.634763 : Epoch  6, Batch     75, Loss  1.191451, Average Loss  1.197013, Time  0.438083
2021-09-27 11:22:41.062937 : Epoch  6, Batch     76, Loss  1.195097, Average Loss  1.196942, Time  0.437531
2021-09-27 11:22:46.619264 : Epoch  6, Batch     77, Loss  1.209495, Average Loss  1.197020, Time  0.436612
2021-09-27 11:22:52.136074 : Epoch  6, Batch     78, Loss  1.190805, Average Loss  1.196935, Time  0.438509
2021-09-27 11:22:57.653833 : Epoch  6, Batch     79, Loss  1.202454, Average Loss  1.196905, Time  0.438745
2021-09-27 11:23:03.117962 : Epoch  6, Batch     80, Loss  1.200911, Average Loss  1.196938, Time  0.438901
2021-09-27 11:23:08.773797 : Epoch  6, Batch     81, Loss  1.195969, Average Loss  1.196936, Time  0.439363
2021-09-27 11:23:14.286033 : Epoch  6, Batch     82, Loss  1.189288, Average Loss  1.196942, Time  0.437164
2021-09-27 11:23:19.783335 : Epoch  6, Batch     83, Loss  1.189015, Average Loss  1.196899, Time  0.452544
2021-09-27 11:23:25.245631 : Epoch  6, Batch     84, Loss  1.207826, Average Loss  1.196896, Time  0.436702
2021-09-27 11:23:30.615118 : Epoch  6, Batch     85, Loss  1.200938, Average Loss  1.196956, Time  0.436950
2021-09-27 11:23:36.258982 : Epoch  6, Batch     86, Loss  1.187144, Average Loss  1.196977, Time  0.436908
2021-09-27 11:23:41.826329 : Epoch  6, Batch     87, Loss  1.176576, Average Loss  1.196820, Time  0.438937
2021-09-27 11:23:47.351384 : Epoch  6, Batch     88, Loss  1.184203, Average Loss  1.196698, Time  0.438815
2021-09-27 11:23:53.042802 : Epoch  6, Batch     89, Loss  1.199313, Average Loss  1.196707, Time  0.437039
2021-09-27 11:23:58.651402 : Epoch  6, Batch     90, Loss  1.190004, Average Loss  1.196655, Time  0.439721
2021-09-27 11:24:04.406386 : Epoch  6, Batch     91, Loss  1.198211, Average Loss  1.196703, Time  0.453947
2021-09-27 11:24:10.006982 : Epoch  6, Batch     92, Loss  1.200096, Average Loss  1.196706, Time  0.436046
2021-09-27 11:24:15.542896 : Epoch  6, Batch     93, Loss  1.207300, Average Loss  1.196749, Time  0.438105
2021-09-27 11:24:21.111690 : Epoch  6, Batch     94, Loss  1.183290, Average Loss  1.196615, Time  0.438126
2021-09-27 11:24:26.790723 : Epoch  6, Batch     95, Loss  1.186586, Average Loss  1.196564, Time  0.438412
2021-09-27 11:24:32.454270 : Epoch  6, Batch     96, Loss  1.197495, Average Loss  1.196549, Time  0.438446
2021-09-27 11:24:36.616788 : Epoch  6, Batch     97, Loss  1.184194, Average Loss  1.196518, Time  0.341282
2021-09-27 11:24:42.275539 : Epoch  6, Batch     98, Loss  1.198556, Average Loss  1.196582, Time  0.439486
2021-09-27 11:24:47.989164 : Epoch  6, Batch     99, Loss  1.190681, Average Loss  1.196584, Time  0.439333
2021-09-27 11:24:53.519060 : Epoch  6, Batch    100, Loss  1.207482, Average Loss  1.196677, Time  0.452193
2021-09-27 11:24:58.981784 : Epoch  6, Batch    101, Loss  1.214357, Average Loss  1.196886, Time  0.436826
2021-09-27 11:25:04.609075 : Epoch  6, Batch    102, Loss  1.193340, Average Loss  1.196929, Time  0.439912
2021-09-27 11:25:10.299990 : Epoch  6, Batch    103, Loss  1.185082, Average Loss  1.196927, Time  0.439280
2021-09-27 11:25:15.798456 : Epoch  6, Batch    104, Loss  1.177188, Average Loss  1.196838, Time  0.438706
2021-09-27 11:25:21.448100 : Epoch  6, Batch    105, Loss  1.202698, Average Loss  1.196872, Time  0.439154
2021-09-27 11:25:27.127778 : Epoch  6, Batch    106, Loss  1.192862, Average Loss  1.196882, Time  0.439260
2021-09-27 11:25:32.852738 : Epoch  6, Batch    107, Loss  1.194331, Average Loss  1.196847, Time  0.438333
2021-09-27 11:25:38.408553 : Epoch  6, Batch    108, Loss  1.191933, Average Loss  1.196833, Time  0.448950
2021-09-27 11:25:44.050019 : Epoch  6, Batch    109, Loss  1.196070, Average Loss  1.196789, Time  0.437796
2021-09-27 11:25:49.710820 : Epoch  6, Batch    110, Loss  1.209998, Average Loss  1.196907, Time  0.439059
2021-09-27 11:25:55.447438 : Epoch  6, Batch    111, Loss  1.207031, Average Loss  1.196999, Time  0.439332
2021-09-27 11:26:01.165006 : Epoch  6, Batch    112, Loss  1.178247, Average Loss  1.196931, Time  0.440172
2021-09-27 11:26:06.826927 : Epoch  6, Batch    113, Loss  1.185413, Average Loss  1.196900, Time  0.439260
2021-09-27 11:26:12.537390 : Epoch  6, Batch    114, Loss  1.209474, Average Loss  1.196995, Time  0.439357
2021-09-27 11:26:18.204490 : Epoch  6, Batch    115, Loss  1.185140, Average Loss  1.196869, Time  0.439559
2021-09-27 11:26:23.927405 : Epoch  6, Batch    116, Loss  1.198085, Average Loss  1.196957, Time  0.454819
2021-09-27 11:26:29.654884 : Epoch  6, Batch    117, Loss  1.193971, Average Loss  1.196910, Time  0.439616
2021-09-27 11:26:35.372492 : Epoch  6, Batch    118, Loss  1.199996, Average Loss  1.196942, Time  0.437762
2021-09-27 11:26:41.028723 : Epoch  6, Batch    119, Loss  1.194662, Average Loss  1.196937, Time  0.438196
2021-09-27 11:26:46.577419 : Epoch  6, Batch    120, Loss  1.196518, Average Loss  1.196964, Time  0.436860
2021-09-27 11:26:52.281509 : Epoch  6, Batch    121, Loss  1.188305, Average Loss  1.197002, Time  0.437143
2021-09-27 11:26:57.878907 : Epoch  6, Batch    122, Loss  1.202384, Average Loss  1.197093, Time  0.437025
2021-09-27 11:27:03.268234 : Epoch  6, Batch    123, Loss  1.188981, Average Loss  1.197122, Time  0.440814
2021-09-27 11:27:08.876071 : Epoch  6, Batch    124, Loss  1.196000, Average Loss  1.197192, Time  0.452310
2021-09-27 11:27:14.330350 : Epoch  6, Batch    125, Loss  1.203787, Average Loss  1.197221, Time  0.438167
2021-09-27 11:27:19.933636 : Epoch  6, Batch    126, Loss  1.193571, Average Loss  1.197210, Time  0.437814
2021-09-27 11:27:25.582838 : Epoch  6, Batch    127, Loss  1.200291, Average Loss  1.197134, Time  0.436566
2021-09-27 11:27:31.074142 : Epoch  6, Batch    128, Loss  1.182600, Average Loss  1.197066, Time  0.436621
2021-09-27 11:27:36.667775 : Epoch  6, Batch    129, Loss  1.211937, Average Loss  1.197120, Time  0.436874
2021-09-27 11:27:42.302874 : Epoch  6, Batch    130, Loss  1.199219, Average Loss  1.197129, Time  0.437846
2021-09-27 11:27:47.931264 : Epoch  6, Batch    131, Loss  1.191821, Average Loss  1.197150, Time  0.438377
2021-09-27 11:27:53.319569 : Epoch  6, Batch    132, Loss  1.185203, Average Loss  1.197141, Time  0.435837
2021-09-27 11:27:58.884322 : Epoch  6, Batch    133, Loss  1.226068, Average Loss  1.197204, Time  0.453488
2021-09-27 11:28:04.609875 : Epoch  6, Batch    134, Loss  1.202456, Average Loss  1.197292, Time  0.438421
2021-09-27 11:28:10.114280 : Epoch  6, Batch    135, Loss  1.190421, Average Loss  1.197211, Time  0.436969
2021-09-27 11:28:15.791964 : Epoch  6, Batch    136, Loss  1.218299, Average Loss  1.197333, Time  0.439777
2021-09-27 11:28:21.438312 : Epoch  6, Batch    137, Loss  1.194949, Average Loss  1.197354, Time  0.436846
2021-09-27 11:28:26.821174 : Epoch  6, Batch    138, Loss  1.183537, Average Loss  1.197281, Time  0.436621
2021-09-27 11:28:32.308592 : Epoch  6, Batch    139, Loss  1.199398, Average Loss  1.197341, Time  0.438853
2021-09-27 11:28:37.964561 : Epoch  6, Batch    140, Loss  1.200535, Average Loss  1.197396, Time  0.439598
2021-09-27 11:28:43.503512 : Epoch  6, Batch    141, Loss  1.199957, Average Loss  1.197408, Time  0.450555
2021-09-27 11:28:49.096428 : Epoch  6, Batch    142, Loss  1.195353, Average Loss  1.197375, Time  0.437859
2021-09-27 11:28:54.709388 : Epoch  6, Batch    143, Loss  1.198179, Average Loss  1.197388, Time  0.438453
2021-09-27 11:29:00.184772 : Epoch  6, Batch    144, Loss  1.204692, Average Loss  1.197425, Time  0.436366
2021-09-27 11:29:05.645713 : Epoch  6, Batch    145, Loss  1.209598, Average Loss  1.197501, Time  0.439186
2021-09-27 11:29:11.366628 : Epoch  6, Batch    146, Loss  1.174978, Average Loss  1.197384, Time  0.439267
2021-09-27 11:29:17.044463 : Epoch  6, Batch    147, Loss  1.194793, Average Loss  1.197383, Time  0.439901
2021-09-27 11:29:22.720987 : Epoch  6, Batch    148, Loss  1.181993, Average Loss  1.197343, Time  0.439685
2021-09-27 11:29:28.440297 : Epoch  6, Batch    149, Loss  1.203355, Average Loss  1.197283, Time  0.453696
2021-09-27 11:29:33.961261 : Epoch  6, Batch    150, Loss  1.191483, Average Loss  1.197228, Time  0.437012
2021-09-27 11:29:39.328247 : Epoch  6, Batch    151, Loss  1.203509, Average Loss  1.197139, Time  0.437716
2021-09-27 11:29:44.831512 : Epoch  6, Batch    152, Loss  1.215887, Average Loss  1.197204, Time  0.436092
2021-09-27 11:29:50.380954 : Epoch  6, Batch    153, Loss  1.192479, Average Loss  1.197201, Time  0.439121
2021-09-27 11:29:56.023025 : Epoch  6, Batch    154, Loss  1.179963, Average Loss  1.197151, Time  0.437427
2021-09-27 11:30:01.560894 : Epoch  6, Batch    155, Loss  1.188944, Average Loss  1.197050, Time  0.437374
2021-09-27 11:30:07.006891 : Epoch  6, Batch    156, Loss  1.206782, Average Loss  1.196958, Time  0.436693
2021-09-27 11:30:12.520787 : Epoch  6, Batch    157, Loss  1.214778, Average Loss  1.197059, Time  0.438506
2021-09-27 11:30:18.249949 : Epoch  6, Batch    158, Loss  1.191656, Average Loss  1.197044, Time  0.452628
2021-09-27 11:30:24.010985 : Epoch  6, Batch    159, Loss  1.200933, Average Loss  1.197062, Time  0.439375
2021-09-27 11:30:29.666190 : Epoch  6, Batch    160, Loss  1.194550, Average Loss  1.197054, Time  0.437111
2021-09-27 11:34:51.226455 : CheckPoint: Validation Loss  0.00020703, Best Loss  0.00020384
2021-09-27 11:34:56.846790 : Epoch  6, Batch    161, Loss  1.209134, Average Loss  1.197192, Time  0.451811
2021-09-27 11:35:02.380020 : Epoch  6, Batch    162, Loss  1.178184, Average Loss  1.197137, Time  0.436144
2021-09-27 11:35:07.772650 : Epoch  6, Batch    163, Loss  1.199482, Average Loss  1.197155, Time  0.436801
2021-09-27 11:35:13.427988 : Epoch  6, Batch    164, Loss  1.202161, Average Loss  1.197151, Time  0.439074
2021-09-27 11:35:19.115509 : Epoch  6, Batch    165, Loss  1.194160, Average Loss  1.197079, Time  0.437263
2021-09-27 11:35:24.781617 : Epoch  6, Batch    166, Loss  1.208256, Average Loss  1.197023, Time  0.439031
2021-09-27 11:35:30.379844 : Epoch  6, Batch    167, Loss  1.200569, Average Loss  1.196958, Time  0.436913
2021-09-27 11:35:36.100606 : Epoch  6, Batch    168, Loss  1.192451, Average Loss  1.196856, Time  0.438488
2021-09-27 11:35:41.821947 : Epoch  6, Batch    169, Loss  1.198506, Average Loss  1.196928, Time  0.452250
2021-09-27 11:35:47.500037 : Epoch  6, Batch    170, Loss  1.212903, Average Loss  1.196981, Time  0.437667
2021-09-27 11:35:53.040051 : Epoch  6, Batch    171, Loss  1.204975, Average Loss  1.197039, Time  0.437394
2021-09-27 11:35:58.756426 : Epoch  6, Batch    172, Loss  1.195722, Average Loss  1.196954, Time  0.439030
2021-09-27 11:36:04.465547 : Epoch  6, Batch    173, Loss  1.197816, Average Loss  1.196913, Time  0.438331
2021-09-27 11:36:10.103826 : Epoch  6, Batch    174, Loss  1.201647, Average Loss  1.196939, Time  0.438265
2021-09-27 11:36:15.703518 : Epoch  6, Batch    175, Loss  1.217809, Average Loss  1.197035, Time  0.438778
2021-09-27 11:36:21.385839 : Epoch  6, Batch    176, Loss  1.197871, Average Loss  1.197009, Time  0.438289
2021-09-27 11:36:27.151395 : Epoch  6, Batch    177, Loss  1.193218, Average Loss  1.197005, Time  0.449127
2021-09-27 11:36:32.934667 : Epoch  6, Batch    178, Loss  1.179797, Average Loss  1.196932, Time  0.438352
2021-09-27 11:36:38.568285 : Epoch  6, Batch    179, Loss  1.207149, Average Loss  1.196922, Time  0.436006
2021-09-27 11:36:44.164394 : Epoch  6, Batch    180, Loss  1.207782, Average Loss  1.197059, Time  0.439469
2021-09-27 11:36:49.892054 : Epoch  6, Batch    181, Loss  1.184817, Average Loss  1.196948, Time  0.438399
2021-09-27 11:36:55.643166 : Epoch  6, Batch    182, Loss  1.200450, Average Loss  1.196924, Time  0.440591
2021-09-27 11:37:01.251217 : Epoch  6, Batch    183, Loss  1.207246, Average Loss  1.196958, Time  0.437398
2021-09-27 11:37:06.793765 : Epoch  6, Batch    184, Loss  1.198400, Average Loss  1.196989, Time  0.439545
2021-09-27 11:37:12.350020 : Epoch  6, Batch    185, Loss  1.204082, Average Loss  1.197017, Time  0.452746
2021-09-27 11:37:17.909011 : Epoch  6, Batch    186, Loss  1.185963, Average Loss  1.197015, Time  0.439315
2021-09-27 11:37:23.480932 : Epoch  6, Batch    187, Loss  1.195965, Average Loss  1.196905, Time  0.439069
2021-09-27 11:37:29.205664 : Epoch  6, Batch    188, Loss  1.207164, Average Loss  1.196895, Time  0.439679
2021-09-27 11:37:34.939626 : Epoch  6, Batch    189, Loss  1.192758, Average Loss  1.196858, Time  0.439293
2021-09-27 11:37:40.696423 : Epoch  6, Batch    190, Loss  1.196094, Average Loss  1.196787, Time  0.439565
2021-09-27 11:37:46.432006 : Epoch  6, Batch    191, Loss  1.198828, Average Loss  1.196746, Time  0.436517
2021-09-27 11:37:51.792137 : Epoch  6, Batch    192, Loss  1.197596, Average Loss  1.196743, Time  0.435796
2021-09-27 11:37:57.419543 : Epoch  6, Batch    193, Loss  1.187797, Average Loss  1.196770, Time  0.447102
2021-09-27 11:38:02.987851 : Epoch  6, Batch    194, Loss  1.191845, Average Loss  1.196800, Time  0.439358
2021-09-27 11:38:08.706733 : Epoch  6, Batch    195, Loss  1.193222, Average Loss  1.196816, Time  0.437847
2021-09-27 11:38:14.308512 : Epoch  6, Batch    196, Loss  1.195751, Average Loss  1.196800, Time  0.436400
2021-09-27 11:38:19.886071 : Epoch  6, Batch    197, Loss  1.209942, Average Loss  1.196913, Time  0.438963
2021-09-27 11:38:25.493774 : Epoch  6, Batch    198, Loss  1.193917, Average Loss  1.196777, Time  0.436405
2021-09-27 11:38:31.025968 : Epoch  6, Batch    199, Loss  1.201391, Average Loss  1.196763, Time  0.436879
2021-09-27 11:38:36.766655 : Epoch  6, Batch    200, Loss  1.220322, Average Loss  1.196913, Time  0.438176
2021-09-27 11:38:42.277275 : Epoch  6, Batch    201, Loss  1.196604, Average Loss  1.196903, Time  0.451089
2021-09-27 11:38:47.776022 : Epoch  6, Batch    202, Loss  1.187900, Average Loss  1.196831, Time  0.437414
2021-09-27 11:38:53.379815 : Epoch  6, Batch    203, Loss  1.181546, Average Loss  1.196768, Time  0.438427
2021-09-27 11:38:59.074959 : Epoch  6, Batch    204, Loss  1.219464, Average Loss  1.196854, Time  0.438426
2021-09-27 11:39:04.618758 : Epoch  6, Batch    205, Loss  1.210140, Average Loss  1.196921, Time  0.438378
2021-09-27 11:39:10.207029 : Epoch  6, Batch    206, Loss  1.195528, Average Loss  1.196887, Time  0.438317
2021-09-27 11:39:15.899962 : Epoch  6, Batch    207, Loss  1.195646, Average Loss  1.196916, Time  0.436908
2021-09-27 11:39:21.540011 : Epoch  6, Batch    208, Loss  1.208510, Average Loss  1.197063, Time  0.439999
2021-09-27 11:39:27.320807 : Epoch  6, Batch    209, Loss  1.200012, Average Loss  1.197050, Time  0.447612
2021-09-27 11:39:32.990174 : Epoch  6, Batch    210, Loss  1.192561, Average Loss  1.197075, Time  0.437434
2021-09-27 11:39:38.513098 : Epoch  6, Batch    211, Loss  1.190317, Average Loss  1.197097, Time  0.437855
2021-09-27 11:39:44.271454 : Epoch  6, Batch    212, Loss  1.212625, Average Loss  1.197146, Time  0.439719
2021-09-27 11:39:50.007677 : Epoch  6, Batch    213, Loss  1.195874, Average Loss  1.197163, Time  0.437689
2021-09-27 11:39:55.528279 : Epoch  6, Batch    214, Loss  1.204266, Average Loss  1.197212, Time  0.436223
2021-09-27 11:40:01.196131 : Epoch  6, Batch    215, Loss  1.213542, Average Loss  1.197261, Time  0.440381
2021-09-27 11:40:06.950067 : Epoch  6, Batch    216, Loss  1.193197, Average Loss  1.197157, Time  0.438799
2021-09-27 11:40:12.653055 : Epoch  6, Batch    217, Loss  1.195789, Average Loss  1.197106, Time  0.455733
2021-09-27 11:40:18.349437 : Epoch  6, Batch    218, Loss  1.185513, Average Loss  1.197046, Time  0.440098
2021-09-27 11:40:24.127996 : Epoch  6, Batch    219, Loss  1.209517, Average Loss  1.197126, Time  0.439163
2021-09-27 11:40:29.792440 : Epoch  6, Batch    220, Loss  1.193036, Average Loss  1.197016, Time  0.438565
2021-09-27 11:40:35.319343 : Epoch  6, Batch    221, Loss  1.196071, Average Loss  1.197038, Time  0.438021
2021-09-27 11:40:40.784986 : Epoch  6, Batch    222, Loss  1.202073, Average Loss  1.197011, Time  0.435479
2021-09-27 11:40:46.173975 : Epoch  6, Batch    223, Loss  1.198017, Average Loss  1.196994, Time  0.436939
2021-09-27 11:40:51.768830 : Epoch  6, Batch    224, Loss  1.206760, Average Loss  1.197066, Time  0.439567
2021-09-27 11:40:57.428970 : Epoch  6, Batch    225, Loss  1.220781, Average Loss  1.197231, Time  0.446829
2021-09-27 11:41:02.901443 : Epoch  6, Batch    226, Loss  1.194809, Average Loss  1.197166, Time  0.438224
2021-09-27 11:41:08.674333 : Epoch  6, Batch    227, Loss  1.197531, Average Loss  1.197192, Time  0.437953
2021-09-27 11:41:14.274375 : Epoch  6, Batch    228, Loss  1.190469, Average Loss  1.197195, Time  0.437830
2021-09-27 11:41:19.885094 : Epoch  6, Batch    229, Loss  1.193798, Average Loss  1.197175, Time  0.439413
2021-09-27 11:41:25.405363 : Epoch  6, Batch    230, Loss  1.213437, Average Loss  1.197279, Time  0.438185
2021-09-27 11:41:31.056537 : Epoch  6, Batch    231, Loss  1.201029, Average Loss  1.197244, Time  0.437662
2021-09-27 11:41:36.548213 : Epoch  6, Batch    232, Loss  1.194992, Average Loss  1.197269, Time  0.437247
2021-09-27 11:41:42.042275 : Epoch  6, Batch    233, Loss  1.213243, Average Loss  1.197409, Time  0.442811
2021-09-27 11:41:47.599880 : Epoch  6, Batch    234, Loss  1.183542, Average Loss  1.197372, Time  0.438727
2021-09-27 11:41:53.305607 : Epoch  6, Batch    235, Loss  1.192417, Average Loss  1.197293, Time  0.436881
2021-09-27 11:41:58.969254 : Epoch  6, Batch    236, Loss  1.195343, Average Loss  1.197285, Time  0.437520
2021-09-27 11:42:04.481310 : Epoch  6, Batch    237, Loss  1.217197, Average Loss  1.197338, Time  0.437685
2021-09-27 11:42:10.073891 : Epoch  6, Batch    238, Loss  1.205816, Average Loss  1.197474, Time  0.437354
2021-09-27 11:42:15.587633 : Epoch  6, Batch    239, Loss  1.184850, Average Loss  1.197483, Time  0.436241
2021-09-27 11:42:21.364439 : Epoch  6, Batch    240, Loss  1.201797, Average Loss  1.197481, Time  0.437123
2021-09-27 11:42:27.112889 : Epoch  6, Batch    241, Loss  1.198666, Average Loss  1.197459, Time  0.451160
2021-09-27 11:42:33.059674 : Epoch  6, Batch    242, Loss  1.198092, Average Loss  1.197567, Time  0.439269
2021-09-27 11:42:39.011472 : Epoch  6, Batch    243, Loss  1.196193, Average Loss  1.197484, Time  0.439233
2021-09-27 11:42:44.976486 : Epoch  6, Batch    244, Loss  1.205073, Average Loss  1.197493, Time  0.439069
2021-09-27 11:42:50.918891 : Epoch  6, Batch    245, Loss  1.193578, Average Loss  1.197511, Time  0.439178
2021-09-27 11:42:56.859290 : Epoch  6, Batch    246, Loss  1.176923, Average Loss  1.197477, Time  0.438473
2021-09-27 11:43:02.803040 : Epoch  6, Batch    247, Loss  1.186964, Average Loss  1.197449, Time  0.438664
2021-09-27 11:43:08.758841 : Epoch  6, Batch    248, Loss  1.198319, Average Loss  1.197442, Time  0.440578
2021-09-27 11:43:14.741815 : Epoch  6, Batch    249, Loss  1.208377, Average Loss  1.197506, Time  0.458872
2021-09-27 11:43:20.248664 : Epoch  6, Batch    250, Loss  1.205354, Average Loss  1.197451, Time  0.436646
2021-09-27 11:43:25.719034 : Epoch  6, Batch    251, Loss  1.179030, Average Loss  1.197416, Time  0.438609
2021-09-27 11:43:31.161429 : Epoch  6, Batch    252, Loss  1.183425, Average Loss  1.197324, Time  0.436009
2021-09-27 11:43:36.492040 : Epoch  6, Batch    253, Loss  1.201666, Average Loss  1.197316, Time  0.436491
2021-09-27 11:43:42.133011 : Epoch  6, Batch    254, Loss  1.204888, Average Loss  1.197268, Time  0.439032
2021-09-27 11:43:47.751321 : Epoch  6, Batch    255, Loss  1.196139, Average Loss  1.197294, Time  0.438761
2021-09-27 11:43:53.379771 : Epoch  6, Batch    256, Loss  1.194195, Average Loss  1.197281, Time  0.436162
2021-09-27 11:43:58.942291 : Epoch  6, Batch    257, Loss  1.195558, Average Loss  1.197327, Time  0.452146
2021-09-27 11:44:04.671338 : Epoch  6, Batch    258, Loss  1.203300, Average Loss  1.197375, Time  0.439104
2021-09-27 11:44:10.288394 : Epoch  6, Batch    259, Loss  1.212804, Average Loss  1.197414, Time  0.436723
2021-09-27 11:44:15.902270 : Epoch  6, Batch    260, Loss  1.193494, Average Loss  1.197419, Time  0.436788
2021-09-27 11:48:51.611404 : CheckPoint: Validation Loss  0.00021134, Best Loss  0.00020384
2021-09-27 11:48:57.591817 : Epoch  6, Batch    261, Loss  1.212431, Average Loss  1.197457, Time  0.438468
2021-09-27 11:49:03.488810 : Epoch  6, Batch    262, Loss  1.188371, Average Loss  1.197449, Time  0.438989
2021-09-27 11:49:09.407781 : Epoch  6, Batch    263, Loss  1.204914, Average Loss  1.197511, Time  0.441271
2021-09-27 11:49:15.328508 : Epoch  6, Batch    264, Loss  1.197939, Average Loss  1.197555, Time  0.452491
2021-09-27 11:49:21.242572 : Epoch  6, Batch    265, Loss  1.204212, Average Loss  1.197670, Time  0.440663
2021-09-27 11:49:27.154460 : Epoch  6, Batch    266, Loss  1.197029, Average Loss  1.197683, Time  0.440489
2021-09-27 11:49:33.051653 : Epoch  6, Batch    267, Loss  1.186058, Average Loss  1.197686, Time  0.438282
2021-09-27 11:49:38.958246 : Epoch  6, Batch    268, Loss  1.196548, Average Loss  1.197618, Time  0.440693
2021-09-27 11:49:44.871788 : Epoch  6, Batch    269, Loss  1.216412, Average Loss  1.197685, Time  0.438341
2021-09-27 11:49:50.796812 : Epoch  6, Batch    270, Loss  1.190572, Average Loss  1.197648, Time  0.440867
2021-09-27 11:49:56.710255 : Epoch  6, Batch    271, Loss  1.189038, Average Loss  1.197651, Time  0.440882
2021-09-27 11:50:02.620792 : Epoch  6, Batch    272, Loss  1.180534, Average Loss  1.197512, Time  0.452101
2021-09-27 11:50:08.520889 : Epoch  6, Batch    273, Loss  1.214027, Average Loss  1.197602, Time  0.438668
2021-09-27 11:50:14.419781 : Epoch  6, Batch    274, Loss  1.223078, Average Loss  1.197782, Time  0.438842
2021-09-27 11:50:20.312520 : Epoch  6, Batch    275, Loss  1.187982, Average Loss  1.197764, Time  0.438837
2021-09-27 11:50:26.224623 : Epoch  6, Batch    276, Loss  1.189703, Average Loss  1.197737, Time  0.439124
2021-09-27 11:50:32.125514 : Epoch  6, Batch    277, Loss  1.183826, Average Loss  1.197609, Time  0.440267
2021-09-27 11:50:38.035094 : Epoch  6, Batch    278, Loss  1.187420, Average Loss  1.197592, Time  0.439541
2021-09-27 11:50:43.958518 : Epoch  6, Batch    279, Loss  1.200416, Average Loss  1.197582, Time  0.440757
2021-09-27 11:50:49.883372 : Epoch  6, Batch    280, Loss  1.210384, Average Loss  1.197629, Time  0.455174
2021-09-27 11:50:55.784185 : Epoch  6, Batch    281, Loss  1.209836, Average Loss  1.197698, Time  0.438775
2021-09-27 11:51:01.694862 : Epoch  6, Batch    282, Loss  1.203657, Average Loss  1.197770, Time  0.439065
2021-09-27 11:51:07.595021 : Epoch  6, Batch    283, Loss  1.182832, Average Loss  1.197739, Time  0.438846
2021-09-27 11:51:13.510624 : Epoch  6, Batch    284, Loss  1.213571, Average Loss  1.197768, Time  0.440292
2021-09-27 11:51:19.447949 : Epoch  6, Batch    285, Loss  1.194739, Average Loss  1.197737, Time  0.441116
2021-09-27 11:51:25.361230 : Epoch  6, Batch    286, Loss  1.200981, Average Loss  1.197806, Time  0.441421
2021-09-27 11:51:31.280620 : Epoch  6, Batch    287, Loss  1.189827, Average Loss  1.197873, Time  0.439374
2021-09-27 11:51:37.213787 : Epoch  6, Batch    288, Loss  1.192898, Average Loss  1.197916, Time  0.452060
2021-09-27 11:51:43.124470 : Epoch  6, Batch    289, Loss  1.211051, Average Loss  1.197975, Time  0.438639
2021-09-27 11:51:49.029771 : Epoch  6, Batch    290, Loss  1.187108, Average Loss  1.197960, Time  0.439716
2021-09-27 11:51:54.942757 : Epoch  6, Batch    291, Loss  1.213455, Average Loss  1.198036, Time  0.439627
2021-09-27 11:52:00.852886 : Epoch  6, Batch    292, Loss  1.190462, Average Loss  1.197988, Time  0.439435
2021-09-27 11:52:06.771161 : Epoch  6, Batch    293, Loss  1.193372, Average Loss  1.197919, Time  0.440611
2021-09-27 11:52:12.675024 : Epoch  6, Batch    294, Loss  1.194171, Average Loss  1.197973, Time  0.440800
2021-09-27 11:52:18.600284 : Epoch  6, Batch    295, Loss  1.195447, Average Loss  1.198017, Time  0.455714
2021-09-27 11:52:24.497723 : Epoch  6, Batch    296, Loss  1.189785, Average Loss  1.197979, Time  0.439313
2021-09-27 11:52:30.408771 : Epoch  6, Batch    297, Loss  1.199449, Average Loss  1.198055, Time  0.439721
2021-09-27 11:52:36.317246 : Epoch  6, Batch    298, Loss  1.202030, Average Loss  1.198072, Time  0.438592
2021-09-27 11:52:42.224874 : Epoch  6, Batch    299, Loss  1.201441, Average Loss  1.198126, Time  0.438586
2021-09-27 11:52:48.137203 : Epoch  6, Batch    300, Loss  1.205387, Average Loss  1.198116, Time  0.442501
2021-09-27 11:52:54.043686 : Epoch  6, Batch    301, Loss  1.199235, Average Loss  1.198040, Time  0.440351
2021-09-27 11:52:59.961898 : Epoch  6, Batch    302, Loss  1.182123, Average Loss  1.197984, Time  0.441710
2021-09-27 11:53:05.893561 : Epoch  6, Batch    303, Loss  1.174116, Average Loss  1.197929, Time  0.458329
2021-09-27 11:53:11.805483 : Epoch  6, Batch    304, Loss  1.189242, Average Loss  1.197990, Time  0.439968
2021-09-27 11:53:17.722892 : Epoch  6, Batch    305, Loss  1.204388, Average Loss  1.197998, Time  0.440212
2021-09-27 11:53:23.625704 : Epoch  6, Batch    306, Loss  1.179502, Average Loss  1.197931, Time  0.440085
2021-09-27 11:53:29.563256 : Epoch  6, Batch    307, Loss  1.206045, Average Loss  1.197990, Time  0.439207
2021-09-27 11:53:35.468137 : Epoch  6, Batch    308, Loss  1.221495, Average Loss  1.198138, Time  0.440019
2021-09-27 11:53:41.361738 : Epoch  6, Batch    309, Loss  1.192614, Average Loss  1.198120, Time  0.440120
2021-09-27 11:53:47.263899 : Epoch  6, Batch    310, Loss  1.184189, Average Loss  1.197991, Time  0.440331
2021-09-27 11:53:53.191799 : Epoch  6, Batch    311, Loss  1.208381, Average Loss  1.197998, Time  0.461376
2021-09-27 11:53:59.089964 : Epoch  6, Batch    312, Loss  1.174333, Average Loss  1.197978, Time  0.441235
2021-09-27 11:54:05.000886 : Epoch  6, Batch    313, Loss  1.196124, Average Loss  1.198032, Time  0.439090
2021-09-27 11:54:10.904749 : Epoch  6, Batch    314, Loss  1.209317, Average Loss  1.198031, Time  0.438865
2021-09-27 11:54:16.812526 : Epoch  6, Batch    315, Loss  1.194524, Average Loss  1.198078, Time  0.441225
2021-09-27 11:54:22.692910 : Epoch  6, Batch    316, Loss  1.201040, Average Loss  1.198093, Time  0.438520
2021-09-27 11:54:28.600798 : Epoch  6, Batch    317, Loss  1.197290, Average Loss  1.198109, Time  0.440966
2021-09-27 11:54:34.495994 : Epoch  6, Batch    318, Loss  1.183720, Average Loss  1.198028, Time  0.441146
2021-09-27 11:54:40.410767 : Epoch  6, Batch    319, Loss  1.190092, Average Loss  1.198005, Time  0.451068
2021-09-27 11:54:46.317819 : Epoch  6, Batch    320, Loss  1.193610, Average Loss  1.197991, Time  0.439853
2021-09-27 11:54:52.209713 : Epoch  6, Batch    321, Loss  1.201077, Average Loss  1.198055, Time  0.438365
2021-09-27 11:54:58.114764 : Epoch  6, Batch    322, Loss  1.198718, Average Loss  1.198036, Time  0.439167
2021-09-27 11:55:04.005731 : Epoch  6, Batch    323, Loss  1.198979, Average Loss  1.198086, Time  0.438962
2021-09-27 11:55:09.893779 : Epoch  6, Batch    324, Loss  1.202222, Average Loss  1.198117, Time  0.442622
2021-09-27 11:55:15.797566 : Epoch  6, Batch    325, Loss  1.201924, Average Loss  1.198108, Time  0.438956
2021-09-27 11:55:21.718423 : Epoch  6, Batch    326, Loss  1.184291, Average Loss  1.198062, Time  0.440773
2021-09-27 11:55:27.643741 : Epoch  6, Batch    327, Loss  1.191561, Average Loss  1.198018, Time  0.453862
2021-09-27 11:55:33.562791 : Epoch  6, Batch    328, Loss  1.202650, Average Loss  1.198118, Time  0.439786
2021-09-27 11:55:39.474695 : Epoch  6, Batch    329, Loss  1.188800, Average Loss  1.198003, Time  0.439954
2021-09-27 11:55:45.397888 : Epoch  6, Batch    330, Loss  1.191322, Average Loss  1.197963, Time  0.439190
2021-09-27 11:55:51.315866 : Epoch  6, Batch    331, Loss  1.205335, Average Loss  1.198031, Time  0.438373
2021-09-27 11:55:57.220576 : Epoch  6, Batch    332, Loss  1.196994, Average Loss  1.198090, Time  0.438468
2021-09-27 11:56:03.132391 : Epoch  6, Batch    333, Loss  1.196388, Average Loss  1.197941, Time  0.439532
2021-09-27 11:56:09.032070 : Epoch  6, Batch    334, Loss  1.180531, Average Loss  1.197832, Time  0.440202
2021-09-27 11:56:14.960768 : Epoch  6, Batch    335, Loss  1.197864, Average Loss  1.197869, Time  0.454880
2021-09-27 11:56:20.863849 : Epoch  6, Batch    336, Loss  1.194836, Average Loss  1.197751, Time  0.440282
2021-09-27 11:56:26.786106 : Epoch  6, Batch    337, Loss  1.187307, Average Loss  1.197713, Time  0.438638
2021-09-27 11:56:32.692765 : Epoch  6, Batch    338, Loss  1.178893, Average Loss  1.197690, Time  0.440536
2021-09-27 11:56:38.603200 : Epoch  6, Batch    339, Loss  1.194317, Average Loss  1.197665, Time  0.438977
2021-09-27 11:56:44.524989 : Epoch  6, Batch    340, Loss  1.198195, Average Loss  1.197653, Time  0.439397
2021-09-27 11:56:50.424746 : Epoch  6, Batch    341, Loss  1.203712, Average Loss  1.197672, Time  0.439235
2021-09-27 11:56:56.328086 : Epoch  6, Batch    342, Loss  1.197440, Average Loss  1.197682, Time  0.438523
2021-09-27 11:57:02.251919 : Epoch  6, Batch    343, Loss  1.200961, Average Loss  1.197696, Time  0.452080
2021-09-27 11:57:08.161921 : Epoch  6, Batch    344, Loss  1.216496, Average Loss  1.197755, Time  0.439518
2021-09-27 11:57:14.085892 : Epoch  6, Batch    345, Loss  1.200721, Average Loss  1.197711, Time  0.439856
2021-09-27 11:57:20.008306 : Epoch  6, Batch    346, Loss  1.203065, Average Loss  1.197851, Time  0.440950
2021-09-27 11:57:25.936581 : Epoch  6, Batch    347, Loss  1.198595, Average Loss  1.197870, Time  0.439760
2021-09-27 11:57:31.838622 : Epoch  6, Batch    348, Loss  1.198574, Average Loss  1.197953, Time  0.440323
2021-09-27 11:57:37.750573 : Epoch  6, Batch    349, Loss  1.189270, Average Loss  1.197883, Time  0.440690
2021-09-27 11:57:43.678436 : Epoch  6, Batch    350, Loss  1.197769, Average Loss  1.197914, Time  0.453914
2021-09-27 11:57:49.582276 : Epoch  6, Batch    351, Loss  1.213700, Average Loss  1.197965, Time  0.439263
2021-09-27 11:57:55.496551 : Epoch  6, Batch    352, Loss  1.205130, Average Loss  1.197911, Time  0.440118
2021-09-27 11:58:01.400740 : Epoch  6, Batch    353, Loss  1.189553, Average Loss  1.197897, Time  0.439178
2021-09-27 11:58:07.315048 : Epoch  6, Batch    354, Loss  1.177137, Average Loss  1.197882, Time  0.442067
2021-09-27 11:58:13.212746 : Epoch  6, Batch    355, Loss  1.197317, Average Loss  1.197924, Time  0.438992
2021-09-27 11:58:19.117777 : Epoch  6, Batch    356, Loss  1.189225, Average Loss  1.197836, Time  0.438978
2021-09-27 11:58:25.026739 : Epoch  6, Batch    357, Loss  1.198005, Average Loss  1.197753, Time  0.440906
2021-09-27 11:58:30.939750 : Epoch  6, Batch    358, Loss  1.195115, Average Loss  1.197770, Time  0.457864
2021-09-27 11:58:36.859737 : Epoch  6, Batch    359, Loss  1.202348, Average Loss  1.197777, Time  0.440916
2021-09-27 11:58:48.265411 : Epoch  6, Batch    360, Loss  1.204641, Average Loss  1.197827, Time  0.440078
2021-09-27 12:03:27.356563 : CheckPoint: Validation Loss  0.00020972, Best Loss  0.00020384
2021-09-27 12:03:33.327838 : Epoch  6, Batch    361, Loss  1.207750, Average Loss  1.197821, Time  0.441628
2021-09-27 12:03:39.254742 : Epoch  6, Batch    362, Loss  1.185486, Average Loss  1.197857, Time  0.441006
2021-09-27 12:03:45.147606 : Epoch  6, Batch    363, Loss  1.194119, Average Loss  1.197830, Time  0.441729
2021-09-27 12:03:51.074761 : Epoch  6, Batch    364, Loss  1.196164, Average Loss  1.197800, Time  0.448952
2021-09-27 12:03:57.025640 : Epoch  6, Batch    365, Loss  1.193922, Average Loss  1.197799, Time  0.440743
2021-09-27 12:04:02.940766 : Epoch  6, Batch    366, Loss  1.201454, Average Loss  1.197765, Time  0.438827
2021-09-27 12:04:08.870839 : Epoch  6, Batch    367, Loss  1.224537, Average Loss  1.197885, Time  0.442077
2021-09-27 12:04:14.784862 : Epoch  6, Batch    368, Loss  1.177013, Average Loss  1.197808, Time  0.438712
2021-09-27 12:04:20.703811 : Epoch  6, Batch    369, Loss  1.202628, Average Loss  1.197828, Time  0.439089
2021-09-27 12:04:26.653220 : Epoch  6, Batch    370, Loss  1.203023, Average Loss  1.197779, Time  0.443075
2021-09-27 12:04:32.578355 : Epoch  6, Batch    371, Loss  1.203236, Average Loss  1.197770, Time  0.439161
2021-09-27 12:04:38.501475 : Epoch  6, Batch    372, Loss  1.191415, Average Loss  1.197749, Time  0.453740
2021-09-27 12:04:44.411802 : Epoch  6, Batch    373, Loss  1.185850, Average Loss  1.197689, Time  0.439867
2021-09-27 12:04:50.320585 : Epoch  6, Batch    374, Loss  1.188421, Average Loss  1.197623, Time  0.440924
2021-09-27 12:04:56.239295 : Epoch  6, Batch    375, Loss  1.189630, Average Loss  1.197482, Time  0.438880
2021-09-27 12:05:02.142709 : Epoch  6, Batch    376, Loss  1.196117, Average Loss  1.197473, Time  0.440058
2021-09-27 12:05:08.065818 : Epoch  6, Batch    377, Loss  1.211364, Average Loss  1.197564, Time  0.439608
2021-09-27 12:05:13.974982 : Epoch  6, Batch    378, Loss  1.203779, Average Loss  1.197684, Time  0.438810
2021-09-27 12:05:19.913444 : Epoch  6, Batch    379, Loss  1.187541, Average Loss  1.197586, Time  0.439683
2021-09-27 12:05:25.836612 : Epoch  6, Batch    380, Loss  1.197999, Average Loss  1.197537, Time  0.447797
2021-09-27 12:05:31.762466 : Epoch  6, Batch    381, Loss  1.187284, Average Loss  1.197549, Time  0.438564
2021-09-27 12:05:37.672373 : Epoch  6, Batch    382, Loss  1.204980, Average Loss  1.197572, Time  0.439790
2021-09-27 12:05:43.597744 : Epoch  6, Batch    383, Loss  1.201398, Average Loss  1.197542, Time  0.439796
2021-09-27 12:05:49.524826 : Epoch  6, Batch    384, Loss  1.202581, Average Loss  1.197563, Time  0.440738
2021-09-27 12:05:55.430717 : Epoch  6, Batch    385, Loss  1.184181, Average Loss  1.197464, Time  0.439931
2021-09-27 12:06:01.337675 : Epoch  6, Batch    386, Loss  1.190033, Average Loss  1.197484, Time  0.439435
2021-09-27 12:06:07.260891 : Epoch  6, Batch    387, Loss  1.206128, Average Loss  1.197535, Time  0.442656
2021-09-27 12:06:13.180777 : Epoch  6, Batch    388, Loss  1.211086, Average Loss  1.197555, Time  0.457221
2021-09-27 12:06:19.101393 : Epoch  6, Batch    389, Loss  1.202726, Average Loss  1.197604, Time  0.439216
2021-09-27 12:06:25.012783 : Epoch  6, Batch    390, Loss  1.194084, Average Loss  1.197594, Time  0.439252
2021-09-27 12:06:30.936520 : Epoch  6, Batch    391, Loss  1.184598, Average Loss  1.197523, Time  0.441118
2021-09-27 12:06:36.878794 : Epoch  6, Batch    392, Loss  1.199356, Average Loss  1.197532, Time  0.439737
2021-09-27 12:06:42.794797 : Epoch  6, Batch    393, Loss  1.204747, Average Loss  1.197617, Time  0.439791
2021-09-27 12:06:48.707868 : Epoch  6, Batch    394, Loss  1.202874, Average Loss  1.197672, Time  0.438412
2021-09-27 12:06:54.646099 : Epoch  6, Batch    395, Loss  1.197208, Average Loss  1.197692, Time  0.457187
2021-09-27 12:07:00.565756 : Epoch  6, Batch    396, Loss  1.217274, Average Loss  1.197800, Time  0.442767
2021-09-27 12:07:06.477872 : Epoch  6, Batch    397, Loss  1.203032, Average Loss  1.197765, Time  0.438812
2021-09-27 12:07:12.389774 : Epoch  6, Batch    398, Loss  1.179051, Average Loss  1.197691, Time  0.440951
2021-09-27 12:07:18.301067 : Epoch  6, Batch    399, Loss  1.187634, Average Loss  1.197622, Time  0.438710
2021-09-27 12:07:24.201193 : Epoch  6, Batch    400, Loss  1.213682, Average Loss  1.197589, Time  0.443592
2021-09-27 12:07:30.121909 : Epoch  6, Batch    401, Loss  1.201007, Average Loss  1.197611, Time  0.438488
2021-09-27 12:07:36.045040 : Epoch  6, Batch    402, Loss  1.209525, Average Loss  1.197719, Time  0.440129
2021-09-27 12:07:41.973248 : Epoch  6, Batch    403, Loss  1.198105, Average Loss  1.197802, Time  0.453783
2021-09-27 12:07:47.899883 : Epoch  6, Batch    404, Loss  1.200035, Average Loss  1.197704, Time  0.440448
2021-09-27 12:07:53.808224 : Epoch  6, Batch    405, Loss  1.191825, Average Loss  1.197613, Time  0.439190
2021-09-27 12:07:59.717345 : Epoch  6, Batch    406, Loss  1.200194, Average Loss  1.197636, Time  0.439577
2021-09-27 12:08:05.636428 : Epoch  6, Batch    407, Loss  1.193703, Average Loss  1.197626, Time  0.438795
2021-09-27 12:08:11.548331 : Epoch  6, Batch    408, Loss  1.196016, Average Loss  1.197564, Time  0.439854
2021-09-27 12:08:17.463736 : Epoch  6, Batch    409, Loss  1.200398, Average Loss  1.197566, Time  0.439011
2021-09-27 12:08:23.384803 : Epoch  6, Batch    410, Loss  1.192580, Average Loss  1.197566, Time  0.438765
2021-09-27 12:08:29.312868 : Epoch  6, Batch    411, Loss  1.203565, Average Loss  1.197632, Time  0.452039
2021-09-27 12:08:35.221793 : Epoch  6, Batch    412, Loss  1.205115, Average Loss  1.197595, Time  0.440439
2021-09-27 12:08:41.135757 : Epoch  6, Batch    413, Loss  1.205254, Average Loss  1.197642, Time  0.438895
2021-09-27 12:08:47.029439 : Epoch  6, Batch    414, Loss  1.201399, Average Loss  1.197627, Time  0.438850
2021-09-27 12:08:52.946076 : Epoch  6, Batch    415, Loss  1.203032, Average Loss  1.197575, Time  0.441511
2021-09-27 12:08:58.870735 : Epoch  6, Batch    416, Loss  1.194047, Average Loss  1.197579, Time  0.438782
2021-09-27 12:09:04.787804 : Epoch  6, Batch    417, Loss  1.206478, Average Loss  1.197632, Time  0.439363
2021-09-27 12:09:10.696961 : Epoch  6, Batch    418, Loss  1.202593, Average Loss  1.197718, Time  0.440004
2021-09-27 12:09:16.627430 : Epoch  6, Batch    419, Loss  1.214206, Average Loss  1.197741, Time  0.449746
2021-09-27 12:09:22.546617 : Epoch  6, Batch    420, Loss  1.191568, Average Loss  1.197734, Time  0.440656
2021-09-27 12:09:28.452077 : Epoch  6, Batch    421, Loss  1.184569, Average Loss  1.197676, Time  0.438841
2021-09-27 12:09:34.367804 : Epoch  6, Batch    422, Loss  1.193919, Average Loss  1.197636, Time  0.438361
2021-09-27 12:09:40.281344 : Epoch  6, Batch    423, Loss  1.189814, Average Loss  1.197595, Time  0.438841
2021-09-27 12:09:46.197906 : Epoch  6, Batch    424, Loss  1.197663, Average Loss  1.197549, Time  0.439967
2021-09-27 12:09:52.114077 : Epoch  6, Batch    425, Loss  1.204412, Average Loss  1.197467, Time  0.438912
2021-09-27 12:09:58.037154 : Epoch  6, Batch    426, Loss  1.191186, Average Loss  1.197449, Time  0.440237
2021-09-27 12:10:03.960745 : Epoch  6, Batch    427, Loss  1.196641, Average Loss  1.197445, Time  0.448326
2021-09-27 12:10:09.865147 : Epoch  6, Batch    428, Loss  1.213342, Average Loss  1.197559, Time  0.443439
2021-09-27 12:10:15.789605 : Epoch  6, Batch    429, Loss  1.202266, Average Loss  1.197601, Time  0.439848
2021-09-27 12:10:21.708733 : Epoch  6, Batch    430, Loss  1.205602, Average Loss  1.197562, Time  0.438805
2021-09-27 12:10:27.621257 : Epoch  6, Batch    431, Loss  1.180414, Average Loss  1.197459, Time  0.439121
2021-09-27 12:10:33.529192 : Epoch  6, Batch    432, Loss  1.180058, Average Loss  1.197385, Time  0.439200
2021-09-27 12:10:39.431159 : Epoch  6, Batch    433, Loss  1.205804, Average Loss  1.197347, Time  0.440107
2021-09-27 12:10:45.353821 : Epoch  6, Batch    434, Loss  1.206331, Average Loss  1.197461, Time  0.439412
2021-09-27 12:10:51.284478 : Epoch  6, Batch    435, Loss  1.194256, Average Loss  1.197470, Time  0.455483
2021-09-27 12:10:57.188802 : Epoch  6, Batch    436, Loss  1.198278, Average Loss  1.197485, Time  0.440817
2021-09-27 12:11:03.122533 : Epoch  6, Batch    437, Loss  1.190642, Average Loss  1.197352, Time  0.444711
2021-09-27 12:11:09.033217 : Epoch  6, Batch    438, Loss  1.189892, Average Loss  1.197273, Time  0.441085
2021-09-27 12:11:14.946284 : Epoch  6, Batch    439, Loss  1.196683, Average Loss  1.197332, Time  0.440399
2021-09-27 12:11:20.848371 : Epoch  6, Batch    440, Loss  1.185034, Average Loss  1.197248, Time  0.440727
2021-09-27 12:11:26.747375 : Epoch  6, Batch    441, Loss  1.203597, Average Loss  1.197273, Time  0.440407
2021-09-27 12:11:32.669447 : Epoch  6, Batch    442, Loss  1.190420, Average Loss  1.197234, Time  0.450290
2021-09-27 12:11:38.589050 : Epoch  6, Batch    443, Loss  1.197027, Average Loss  1.197239, Time  0.440538
2021-09-27 12:11:44.500053 : Epoch  6, Batch    444, Loss  1.181678, Average Loss  1.197122, Time  0.441010
2021-09-27 12:11:50.423065 : Epoch  6, Batch    445, Loss  1.189657, Average Loss  1.197102, Time  0.439365
2021-09-27 12:11:56.342397 : Epoch  6, Batch    446, Loss  1.174340, Average Loss  1.197089, Time  0.440155
2021-09-27 12:12:02.279792 : Epoch  6, Batch    447, Loss  1.188600, Average Loss  1.197097, Time  0.444508
2021-09-27 12:12:08.201507 : Epoch  6, Batch    448, Loss  1.191907, Average Loss  1.197065, Time  0.439075
2021-09-27 12:12:14.114115 : Epoch  6, Batch    449, Loss  1.184849, Average Loss  1.196948, Time  0.439322
2021-09-27 12:12:20.069140 : Epoch  6, Batch    450, Loss  1.196072, Average Loss  1.196901, Time  0.453616
2021-09-27 12:12:25.994594 : Epoch  6, Batch    451, Loss  1.197788, Average Loss  1.196995, Time  0.440557
2021-09-27 12:12:31.908193 : Epoch  6, Batch    452, Loss  1.186910, Average Loss  1.197012, Time  0.441369
2021-09-27 12:12:37.825541 : Epoch  6, Batch    453, Loss  1.188385, Average Loss  1.196946, Time  0.440204
2021-09-27 12:12:43.745500 : Epoch  6, Batch    454, Loss  1.192121, Average Loss  1.196882, Time  0.441190
2021-09-27 12:12:49.664426 : Epoch  6, Batch    455, Loss  1.193766, Average Loss  1.196870, Time  0.440366
2021-09-27 12:12:55.569246 : Epoch  6, Batch    456, Loss  1.202388, Average Loss  1.196911, Time  0.440444
2021-09-27 12:13:01.474643 : Epoch  6, Batch    457, Loss  1.175470, Average Loss  1.196811, Time  0.439490
2021-09-27 12:13:07.402468 : Epoch  6, Batch    458, Loss  1.176118, Average Loss  1.196675, Time  0.451539
2021-09-27 12:13:13.331953 : Epoch  6, Batch    459, Loss  1.192486, Average Loss  1.196573, Time  0.440220
2021-09-27 12:13:19.240650 : Epoch  6, Batch    460, Loss  1.188015, Average Loss  1.196546, Time  0.439440
2021-09-27 12:17:59.953208 : CheckPoint: Validation Loss  0.00020733, Best Loss  0.00020384
2021-09-27 12:18:05.910898 : Epoch  6, Batch    461, Loss  1.187565, Average Loss  1.196422, Time  0.444131
2021-09-27 12:18:11.825287 : Epoch  6, Batch    462, Loss  1.199144, Average Loss  1.196475, Time  0.440107
2021-09-27 12:18:17.732506 : Epoch  6, Batch    463, Loss  1.195820, Average Loss  1.196430, Time  0.440797
2021-09-27 12:18:23.653403 : Epoch  6, Batch    464, Loss  1.202674, Average Loss  1.196454, Time  0.446469
2021-09-27 12:18:29.573099 : Epoch  6, Batch    465, Loss  1.183955, Average Loss  1.196352, Time  0.438715
2021-09-27 12:18:35.479128 : Epoch  6, Batch    466, Loss  1.201641, Average Loss  1.196375, Time  0.442915
2021-09-27 12:18:41.383280 : Epoch  6, Batch    467, Loss  1.193793, Average Loss  1.196414, Time  0.439616
2021-09-27 12:18:47.295802 : Epoch  6, Batch    468, Loss  1.207108, Average Loss  1.196467, Time  0.439994
2021-09-27 12:18:53.200735 : Epoch  6, Batch    469, Loss  1.203728, Average Loss  1.196403, Time  0.439872
2021-09-27 12:18:59.099879 : Epoch  6, Batch    470, Loss  1.192718, Average Loss  1.196414, Time  0.440881
2021-09-27 12:19:04.999642 : Epoch  6, Batch    471, Loss  1.196422, Average Loss  1.196451, Time  0.439780
2021-09-27 12:19:10.932873 : Epoch  6, Batch    472, Loss  1.186993, Average Loss  1.196483, Time  0.450586
2021-09-27 12:19:16.826717 : Epoch  6, Batch    473, Loss  1.197931, Average Loss  1.196403, Time  0.443485
2021-09-27 12:19:22.745753 : Epoch  6, Batch    474, Loss  1.193768, Average Loss  1.196256, Time  0.445805
2021-09-27 12:19:28.649081 : Epoch  6, Batch    475, Loss  1.192597, Average Loss  1.196279, Time  0.438918
2021-09-27 12:19:34.569765 : Epoch  6, Batch    476, Loss  1.207917, Average Loss  1.196371, Time  0.443586
2021-09-27 12:19:40.481122 : Epoch  6, Batch    477, Loss  1.195215, Average Loss  1.196427, Time  0.439228
2021-09-27 12:19:46.388625 : Epoch  6, Batch    478, Loss  1.191944, Average Loss  1.196450, Time  0.438775
2021-09-27 12:19:52.302214 : Epoch  6, Batch    479, Loss  1.208295, Average Loss  1.196489, Time  0.439307
2021-09-27 12:19:58.221775 : Epoch  6, Batch    480, Loss  1.183581, Average Loss  1.196355, Time  0.448789
2021-09-27 12:20:04.124428 : Epoch  6, Batch    481, Loss  1.205930, Average Loss  1.196336, Time  0.439748
2021-09-27 12:20:10.043700 : Epoch  6, Batch    482, Loss  1.178561, Average Loss  1.196210, Time  0.441740
2021-09-27 12:20:15.949829 : Epoch  6, Batch    483, Loss  1.211178, Average Loss  1.196352, Time  0.441687
2021-09-27 12:20:21.851646 : Epoch  6, Batch    484, Loss  1.210369, Average Loss  1.196336, Time  0.439359
2021-09-27 12:20:27.754025 : Epoch  6, Batch    485, Loss  1.194633, Average Loss  1.196336, Time  0.445219
2021-09-27 12:20:33.654468 : Epoch  6, Batch    486, Loss  1.196549, Average Loss  1.196313, Time  0.438788
2021-09-27 12:20:39.566831 : Epoch  6, Batch    487, Loss  1.215424, Average Loss  1.196441, Time  0.441285
2021-09-27 12:20:45.471896 : Epoch  6, Batch    488, Loss  1.209972, Average Loss  1.196527, Time  0.451560
2021-09-27 12:20:51.374462 : Epoch  6, Batch    489, Loss  1.188293, Average Loss  1.196413, Time  0.439469
2021-09-27 12:20:57.268965 : Epoch  6, Batch    490, Loss  1.215674, Average Loss  1.196556, Time  0.439641
2021-09-27 12:21:03.188283 : Epoch  6, Batch    491, Loss  1.196265, Average Loss  1.196470, Time  0.442150
2021-09-27 12:21:09.098787 : Epoch  6, Batch    492, Loss  1.205596, Average Loss  1.196546, Time  0.439446
2021-09-27 12:21:14.998838 : Epoch  6, Batch    493, Loss  1.195748, Average Loss  1.196557, Time  0.440171
2021-09-27 12:21:20.906752 : Epoch  6, Batch    494, Loss  1.206192, Average Loss  1.196618, Time  0.439052
2021-09-27 12:21:26.812760 : Epoch  6, Batch    495, Loss  1.193787, Average Loss  1.196609, Time  0.440318
2021-09-27 12:21:32.734990 : Epoch  6, Batch    496, Loss  1.220777, Average Loss  1.196764, Time  0.453722
2021-09-27 12:21:38.641296 : Epoch  6, Batch    497, Loss  1.196795, Average Loss  1.196751, Time  0.440786
2021-09-27 12:21:44.552679 : Epoch  6, Batch    498, Loss  1.213518, Average Loss  1.196808, Time  0.438592
2021-09-27 12:21:50.459114 : Epoch  6, Batch    499, Loss  1.192958, Average Loss  1.196766, Time  0.438265
2021-09-27 12:21:56.357309 : Epoch  6, Batch    500, Loss  1.187633, Average Loss  1.196677, Time  0.441579
2021-09-27 12:22:02.260828 : Epoch  6, Batch    501, Loss  1.203308, Average Loss  1.196698, Time  0.439854
2021-09-27 12:22:08.160685 : Epoch  6, Batch    502, Loss  1.183268, Average Loss  1.196703, Time  0.438787
2021-09-27 12:22:14.064858 : Epoch  6, Batch    503, Loss  1.194056, Average Loss  1.196803, Time  0.440087
2021-09-27 12:22:19.959325 : Epoch  6, Batch    504, Loss  1.194199, Average Loss  1.196828, Time  0.448601
2021-09-27 12:22:25.851346 : Epoch  6, Batch    505, Loss  1.181200, Average Loss  1.196712, Time  0.439209
2021-09-27 12:22:31.765200 : Epoch  6, Batch    506, Loss  1.190247, Average Loss  1.196766, Time  0.440438
2021-09-27 12:22:37.653590 : Epoch  6, Batch    507, Loss  1.185158, Average Loss  1.196661, Time  0.442294
2021-09-27 12:22:43.562038 : Epoch  6, Batch    508, Loss  1.195027, Average Loss  1.196529, Time  0.439995
2021-09-27 12:22:49.476305 : Epoch  6, Batch    509, Loss  1.194062, Average Loss  1.196536, Time  0.438886
2021-09-27 12:22:55.387158 : Epoch  6, Batch    510, Loss  1.196668, Average Loss  1.196598, Time  0.440468
2021-09-27 12:23:01.291812 : Epoch  6, Batch    511, Loss  1.202574, Average Loss  1.196569, Time  0.440898
2021-09-27 12:23:07.216845 : Epoch  6, Batch    512, Loss  1.209808, Average Loss  1.196747, Time  0.452315
2021-09-27 12:23:13.130834 : Epoch  6, Batch    513, Loss  1.192022, Average Loss  1.196726, Time  0.439048
2021-09-27 12:23:19.035780 : Epoch  6, Batch    514, Loss  1.190121, Average Loss  1.196630, Time  0.441196
2021-09-27 12:23:24.960878 : Epoch  6, Batch    515, Loss  1.196591, Average Loss  1.196641, Time  0.442860
2021-09-27 12:23:30.875398 : Epoch  6, Batch    516, Loss  1.201996, Average Loss  1.196645, Time  0.440096
2021-09-27 12:23:36.790826 : Epoch  6, Batch    517, Loss  1.205995, Average Loss  1.196689, Time  0.441802
2021-09-27 12:23:42.700744 : Epoch  6, Batch    518, Loss  1.199238, Average Loss  1.196767, Time  0.441213
2021-09-27 12:23:48.598184 : Epoch  6, Batch    519, Loss  1.197967, Average Loss  1.196806, Time  0.439877
2021-09-27 12:23:54.516134 : Epoch  6, Batch    520, Loss  1.202338, Average Loss  1.196850, Time  0.453767
2021-09-27 12:24:00.419423 : Epoch  6, Batch    521, Loss  1.193463, Average Loss  1.196811, Time  0.442116
2021-09-27 12:24:06.322785 : Epoch  6, Batch    522, Loss  1.221557, Average Loss  1.196926, Time  0.442166
2021-09-27 12:24:12.234138 : Epoch  6, Batch    523, Loss  1.181308, Average Loss  1.196837, Time  0.438831
2021-09-27 12:24:18.153781 : Epoch  6, Batch    524, Loss  1.188102, Average Loss  1.196767, Time  0.440209
2021-09-27 12:24:24.058792 : Epoch  6, Batch    525, Loss  1.206178, Average Loss  1.196788, Time  0.441098
2021-09-27 12:24:29.967708 : Epoch  6, Batch    526, Loss  1.180351, Average Loss  1.196768, Time  0.441025
2021-09-27 12:24:35.872138 : Epoch  6, Batch    527, Loss  1.204645, Average Loss  1.196834, Time  0.438422
2021-09-27 12:24:41.801001 : Epoch  6, Batch    528, Loss  1.191189, Average Loss  1.196776, Time  0.451378
2021-09-27 12:24:47.713172 : Epoch  6, Batch    529, Loss  1.204782, Average Loss  1.196856, Time  0.439080
2021-09-27 12:24:53.617530 : Epoch  6, Batch    530, Loss  1.186756, Average Loss  1.196833, Time  0.438715
2021-09-27 12:24:59.526883 : Epoch  6, Batch    531, Loss  1.207037, Average Loss  1.196842, Time  0.443754
2021-09-27 12:25:05.438771 : Epoch  6, Batch    532, Loss  1.184337, Average Loss  1.196779, Time  0.440885
2021-09-27 12:25:11.352765 : Epoch  6, Batch    533, Loss  1.207435, Average Loss  1.196834, Time  0.441063
2021-09-27 12:25:17.255692 : Epoch  6, Batch    534, Loss  1.194531, Average Loss  1.196904, Time  0.440060
2021-09-27 12:25:23.145170 : Epoch  6, Batch    535, Loss  1.176670, Average Loss  1.196798, Time  0.438627
2021-09-27 12:25:29.055815 : Epoch  6, Batch    536, Loss  1.210890, Average Loss  1.196878, Time  0.455106
2021-09-27 12:25:34.961341 : Epoch  6, Batch    537, Loss  1.198517, Average Loss  1.196934, Time  0.441172
2021-09-27 12:25:40.877260 : Epoch  6, Batch    538, Loss  1.214143, Average Loss  1.197111, Time  0.440557
2021-09-27 12:25:46.787778 : Epoch  6, Batch    539, Loss  1.191153, Average Loss  1.197095, Time  0.442077
2021-09-27 12:25:52.688212 : Epoch  6, Batch    540, Loss  1.205576, Average Loss  1.197132, Time  0.441205
2021-09-27 12:25:58.600838 : Epoch  6, Batch    541, Loss  1.206091, Average Loss  1.197144, Time  0.442079
2021-09-27 12:26:04.498126 : Epoch  6, Batch    542, Loss  1.192641, Average Loss  1.197120, Time  0.440024
2021-09-27 12:26:10.395626 : Epoch  6, Batch    543, Loss  1.185460, Average Loss  1.197042, Time  0.439597
2021-09-27 12:26:16.317159 : Epoch  6, Batch    544, Loss  1.182313, Average Loss  1.196871, Time  0.457438
2021-09-27 12:26:22.224411 : Epoch  6, Batch    545, Loss  1.175537, Average Loss  1.196745, Time  0.439267
2021-09-27 12:26:28.122782 : Epoch  6, Batch    546, Loss  1.189108, Average Loss  1.196675, Time  0.439028
2021-09-27 12:26:34.028245 : Epoch  6, Batch    547, Loss  1.204696, Average Loss  1.196706, Time  0.441193
2021-09-27 12:26:39.942302 : Epoch  6, Batch    548, Loss  1.206386, Average Loss  1.196745, Time  0.440145
2021-09-27 12:26:45.863776 : Epoch  6, Batch    549, Loss  1.195626, Average Loss  1.196777, Time  0.440518
2021-09-27 12:26:51.763856 : Epoch  6, Batch    550, Loss  1.191556, Average Loss  1.196746, Time  0.439068
2021-09-27 12:26:57.685115 : Epoch  6, Batch    551, Loss  1.195481, Average Loss  1.196655, Time  0.450112
2021-09-27 12:27:03.595784 : Epoch  6, Batch    552, Loss  1.198646, Average Loss  1.196622, Time  0.438725
2021-09-27 12:27:09.503340 : Epoch  6, Batch    553, Loss  1.202678, Average Loss  1.196688, Time  0.438985
2021-09-27 12:27:15.413998 : Epoch  6, Batch    554, Loss  1.196811, Average Loss  1.196786, Time  0.442607
2021-09-27 12:27:21.321438 : Epoch  6, Batch    555, Loss  1.207415, Average Loss  1.196837, Time  0.440229
2021-09-27 12:27:27.235596 : Epoch  6, Batch    556, Loss  1.197345, Average Loss  1.196877, Time  0.439806
2021-09-27 12:27:33.137643 : Epoch  6, Batch    557, Loss  1.171444, Average Loss  1.196744, Time  0.439687
2021-09-27 12:27:39.047804 : Epoch  6, Batch    558, Loss  1.179237, Average Loss  1.196665, Time  0.441239
2021-09-27 12:27:44.964880 : Epoch  6, Batch    559, Loss  1.205906, Average Loss  1.196683, Time  0.450622
2021-09-27 12:27:50.865319 : Epoch  6, Batch    560, Loss  1.184649, Average Loss  1.196583, Time  0.440857
2021-09-27 12:32:30.464102 : CheckPoint: Validation Loss  0.00020909, Best Loss  0.00020384
2021-09-27 12:32:36.440737 : Epoch  6, Batch    561, Loss  1.195873, Average Loss  1.196523, Time  0.438337
2021-09-27 12:32:42.345727 : Epoch  6, Batch    562, Loss  1.181683, Average Loss  1.196504, Time  0.439277
2021-09-27 12:32:48.269270 : Epoch  6, Batch    563, Loss  1.198842, Average Loss  1.196528, Time  0.440557
2021-09-27 12:32:54.192486 : Epoch  6, Batch    564, Loss  1.197134, Average Loss  1.196533, Time  0.438827
2021-09-27 12:33:00.131437 : Epoch  6, Batch    565, Loss  1.202103, Average Loss  1.196574, Time  0.451777
2021-09-27 12:33:06.044569 : Epoch  6, Batch    566, Loss  1.191349, Average Loss  1.196523, Time  0.438966
2021-09-27 12:33:11.961687 : Epoch  6, Batch    567, Loss  1.206330, Average Loss  1.196432, Time  0.439091
2021-09-27 12:33:17.878933 : Epoch  6, Batch    568, Loss  1.188009, Average Loss  1.196487, Time  0.442198
2021-09-27 12:33:23.804766 : Epoch  6, Batch    569, Loss  1.207145, Average Loss  1.196510, Time  0.439224
2021-09-27 12:33:29.719156 : Epoch  6, Batch    570, Loss  1.195943, Average Loss  1.196474, Time  0.439186
2021-09-27 12:33:35.650001 : Epoch  6, Batch    571, Loss  1.197966, Average Loss  1.196448, Time  0.439907
2021-09-27 12:33:41.575717 : Epoch  6, Batch    572, Loss  1.214761, Average Loss  1.196565, Time  0.439947
2021-09-27 12:33:47.495125 : Epoch  6, Batch    573, Loss  1.191996, Average Loss  1.196596, Time  0.444477
2021-09-27 12:33:53.405459 : Epoch  6, Batch    574, Loss  1.191969, Average Loss  1.196613, Time  0.439398
2021-09-27 12:33:59.319303 : Epoch  6, Batch    575, Loss  1.191539, Average Loss  1.196623, Time  0.440928
2021-09-27 12:34:05.255765 : Epoch  6, Batch    576, Loss  1.201920, Average Loss  1.196652, Time  0.441197
2021-09-27 12:34:11.175328 : Epoch  6, Batch    577, Loss  1.203284, Average Loss  1.196611, Time  0.442995
2021-09-27 12:34:17.093754 : Epoch  6, Batch    578, Loss  1.199602, Average Loss  1.196591, Time  0.438682
2021-09-27 12:34:23.005790 : Epoch  6, Batch    579, Loss  1.208902, Average Loss  1.196697, Time  0.438720
2021-09-27 12:34:28.922834 : Epoch  6, Batch    580, Loss  1.201103, Average Loss  1.196713, Time  0.439604
2021-09-27 12:34:34.846003 : Epoch  6, Batch    581, Loss  1.201181, Average Loss  1.196782, Time  0.454416
2021-09-27 12:34:40.769862 : Epoch  6, Batch    582, Loss  1.183366, Average Loss  1.196674, Time  0.445070
2021-09-27 12:34:46.671813 : Epoch  6, Batch    583, Loss  1.191795, Average Loss  1.196626, Time  0.441385
2021-09-27 12:34:52.593828 : Epoch  6, Batch    584, Loss  1.215295, Average Loss  1.196690, Time  0.442294
2021-09-27 12:34:58.502294 : Epoch  6, Batch    585, Loss  1.195501, Average Loss  1.196746, Time  0.439329
2021-09-27 12:35:04.408903 : Epoch  6, Batch    586, Loss  1.169647, Average Loss  1.196645, Time  0.439341
2021-09-27 12:35:10.307842 : Epoch  6, Batch    587, Loss  1.206485, Average Loss  1.196646, Time  0.439905
2021-09-27 12:35:16.220483 : Epoch  6, Batch    588, Loss  1.173102, Average Loss  1.196456, Time  0.439110
2021-09-27 12:35:22.142011 : Epoch  6, Batch    589, Loss  1.196182, Average Loss  1.196424, Time  0.452998
2021-09-27 12:35:28.046726 : Epoch  6, Batch    590, Loss  1.197161, Average Loss  1.196439, Time  0.442294
2021-09-27 12:35:33.948755 : Epoch  6, Batch    591, Loss  1.202085, Average Loss  1.196527, Time  0.439215
2021-09-27 12:35:39.862051 : Epoch  6, Batch    592, Loss  1.201633, Average Loss  1.196538, Time  0.440852
2021-09-27 12:35:45.783868 : Epoch  6, Batch    593, Loss  1.189867, Average Loss  1.196463, Time  0.438557
2021-09-27 12:35:51.699378 : Epoch  6, Batch    594, Loss  1.187873, Average Loss  1.196388, Time  0.441228
2021-09-27 12:35:57.608842 : Epoch  6, Batch    595, Loss  1.205089, Average Loss  1.196428, Time  0.439702
2021-09-27 12:36:03.517390 : Epoch  6, Batch    596, Loss  1.194854, Average Loss  1.196316, Time  0.441071
2021-09-27 12:36:09.471228 : Epoch  6, Batch    597, Loss  1.197930, Average Loss  1.196290, Time  0.455050
2021-09-27 12:36:15.382357 : Epoch  6, Batch    598, Loss  1.195500, Average Loss  1.196373, Time  0.440500
2021-09-27 12:36:21.301801 : Epoch  6, Batch    599, Loss  1.194382, Average Loss  1.196406, Time  0.441262
2021-09-27 12:36:27.221763 : Epoch  6, Batch    600, Loss  1.186203, Average Loss  1.196269, Time  0.439271
2021-09-27 12:36:33.136515 : Epoch  6, Batch    601, Loss  1.203129, Average Loss  1.196279, Time  0.441360
2021-09-27 12:36:39.045362 : Epoch  6, Batch    602, Loss  1.189313, Average Loss  1.196178, Time  0.439807
2021-09-27 12:36:44.951784 : Epoch  6, Batch    603, Loss  1.183218, Average Loss  1.196104, Time  0.438757
2021-09-27 12:36:50.862818 : Epoch  6, Batch    604, Loss  1.195064, Average Loss  1.196079, Time  0.439712
2021-09-27 12:36:56.791777 : Epoch  6, Batch    605, Loss  1.203877, Average Loss  1.196139, Time  0.451122
2021-09-27 12:37:02.717035 : Epoch  6, Batch    606, Loss  1.201694, Average Loss  1.196147, Time  0.440847
2021-09-27 12:37:08.629677 : Epoch  6, Batch    607, Loss  1.185117, Average Loss  1.196104, Time  0.439164
2021-09-27 12:37:14.543802 : Epoch  6, Batch    608, Loss  1.200925, Average Loss  1.196129, Time  0.439177
2021-09-27 12:37:20.463695 : Epoch  6, Batch    609, Loss  1.202904, Average Loss  1.196141, Time  0.439872
2021-09-27 12:37:26.376562 : Epoch  6, Batch    610, Loss  1.188933, Average Loss  1.196123, Time  0.442068
2021-09-27 12:37:32.306724 : Epoch  6, Batch    611, Loss  1.194122, Average Loss  1.196076, Time  0.440573
2021-09-27 12:37:38.215374 : Epoch  6, Batch    612, Loss  1.198833, Average Loss  1.196044, Time  0.442285
2021-09-27 12:37:44.140600 : Epoch  6, Batch    613, Loss  1.206855, Average Loss  1.196052, Time  0.447823
2021-09-27 12:37:50.055767 : Epoch  6, Batch    614, Loss  1.193794, Average Loss  1.196014, Time  0.439311
2021-09-27 12:37:55.962360 : Epoch  6, Batch    615, Loss  1.201988, Average Loss  1.196009, Time  0.440528
2021-09-27 12:38:01.876950 : Epoch  6, Batch    616, Loss  1.193560, Average Loss  1.196007, Time  0.439003
2021-09-27 12:38:07.793440 : Epoch  6, Batch    617, Loss  1.195983, Average Loss  1.195954, Time  0.441131
2021-09-27 12:38:13.711768 : Epoch  6, Batch    618, Loss  1.204796, Average Loss  1.195965, Time  0.442856
2021-09-27 12:38:19.630731 : Epoch  6, Batch    619, Loss  1.197745, Average Loss  1.195883, Time  0.438530
2021-09-27 12:38:25.543776 : Epoch  6, Batch    620, Loss  1.198166, Average Loss  1.195916, Time  0.440294
2021-09-27 12:38:31.474915 : Epoch  6, Batch    621, Loss  1.202811, Average Loss  1.196007, Time  0.456969
2021-09-27 12:38:37.406998 : Epoch  6, Batch    622, Loss  1.193644, Average Loss  1.196006, Time  0.438797
2021-09-27 12:38:43.324838 : Epoch  6, Batch    623, Loss  1.203754, Average Loss  1.196075, Time  0.439902
2021-09-27 12:38:49.255368 : Epoch  6, Batch    624, Loss  1.200435, Average Loss  1.196089, Time  0.439488
2021-09-27 12:38:55.162475 : Epoch  6, Batch    625, Loss  1.195806, Average Loss  1.196046, Time  0.440083
2021-09-27 12:39:01.086551 : Epoch  6, Batch    626, Loss  1.177891, Average Loss  1.195980, Time  0.440019
2021-09-27 12:39:06.998246 : Epoch  6, Batch    627, Loss  1.207814, Average Loss  1.196035, Time  0.438234
2021-09-27 12:39:12.910880 : Epoch  6, Batch    628, Loss  1.198304, Average Loss  1.195960, Time  0.438658
2021-09-27 12:39:18.840772 : Epoch  6, Batch    629, Loss  1.179980, Average Loss  1.195849, Time  0.450920
2021-09-27 12:39:24.764448 : Epoch  6, Batch    630, Loss  1.196034, Average Loss  1.195801, Time  0.439315
2021-09-27 12:39:30.686780 : Epoch  6, Batch    631, Loss  1.185163, Average Loss  1.195825, Time  0.441619
2021-09-27 12:39:36.611975 : Epoch  6, Batch    632, Loss  1.208477, Average Loss  1.195967, Time  0.440444
2021-09-27 12:39:42.526476 : Epoch  6, Batch    633, Loss  1.183430, Average Loss  1.195855, Time  0.441607
2021-09-27 12:39:48.456548 : Epoch  6, Batch    634, Loss  1.200153, Average Loss  1.195824, Time  0.441193
2021-09-27 12:39:54.374736 : Epoch  6, Batch    635, Loss  1.196271, Average Loss  1.195834, Time  0.441336
2021-09-27 12:40:00.289784 : Epoch  6, Batch    636, Loss  1.181932, Average Loss  1.195752, Time  0.440063
2021-09-27 12:40:06.229277 : Epoch  6, Batch    637, Loss  1.202145, Average Loss  1.195810, Time  0.458643
2021-09-27 12:40:12.147143 : Epoch  6, Batch    638, Loss  1.190693, Average Loss  1.195814, Time  0.440686
2021-09-27 12:40:18.062627 : Epoch  6, Batch    639, Loss  1.209376, Average Loss  1.195877, Time  0.438664
2021-09-27 12:40:23.972382 : Epoch  6, Batch    640, Loss  1.197717, Average Loss  1.195941, Time  0.438766
2021-09-27 12:40:29.897788 : Epoch  6, Batch    641, Loss  1.198525, Average Loss  1.195915, Time  0.439407
2021-09-27 12:40:35.807369 : Epoch  6, Batch    642, Loss  1.187602, Average Loss  1.195901, Time  0.440023
2021-09-27 12:40:41.729075 : Epoch  6, Batch    643, Loss  1.197010, Average Loss  1.195901, Time  0.438628
2021-09-27 12:40:47.645733 : Epoch  6, Batch    644, Loss  1.200417, Average Loss  1.195995, Time  0.440081
2021-09-27 12:40:53.574740 : Epoch  6, Batch    645, Loss  1.198807, Average Loss  1.196041, Time  0.451112
2021-09-27 12:40:59.481923 : Epoch  6, Batch    646, Loss  1.194757, Average Loss  1.196143, Time  0.439490
2021-09-27 12:41:05.402780 : Epoch  6, Batch    647, Loss  1.188316, Average Loss  1.196141, Time  0.439276
2021-09-27 12:41:11.317850 : Epoch  6, Batch    648, Loss  1.177456, Average Loss  1.196069, Time  0.438583
2021-09-27 12:41:17.230215 : Epoch  6, Batch    649, Loss  1.200601, Average Loss  1.196148, Time  0.438876
2021-09-27 12:41:23.151768 : Epoch  6, Batch    650, Loss  1.182843, Average Loss  1.196082, Time  0.442719
2021-09-27 12:41:29.076590 : Epoch  6, Batch    651, Loss  1.190746, Average Loss  1.196047, Time  0.442160
2021-09-27 12:41:34.992098 : Epoch  6, Batch    652, Loss  1.188098, Average Loss  1.196053, Time  0.438890
2021-09-27 12:41:40.915791 : Epoch  6, Batch    653, Loss  1.177888, Average Loss  1.196000, Time  0.449271
2021-09-27 12:41:46.833774 : Epoch  6, Batch    654, Loss  1.196001, Average Loss  1.196019, Time  0.441314
2021-09-27 12:41:52.749849 : Epoch  6, Batch    655, Loss  1.195412, Average Loss  1.196028, Time  0.439895
2021-09-27 12:41:58.672696 : Epoch  6, Batch    656, Loss  1.199122, Average Loss  1.196011, Time  0.438974
2021-09-27 12:42:04.587191 : Epoch  6, Batch    657, Loss  1.186038, Average Loss  1.196064, Time  0.440789
2021-09-27 12:42:10.489669 : Epoch  6, Batch    658, Loss  1.198909, Average Loss  1.196178, Time  0.440692
2021-09-27 12:42:16.421798 : Epoch  6, Batch    659, Loss  1.179917, Average Loss  1.196115, Time  0.441268
2021-09-27 12:42:22.336753 : Epoch  6, Batch    660, Loss  1.194028, Average Loss  1.196145, Time  0.440103
2021-09-27 12:47:03.334668 : CheckPoint: Validation Loss  0.00020977, Best Loss  0.00020384
2021-09-27 12:47:09.249845 : Epoch  6, Batch    661, Loss  1.201577, Average Loss  1.196215, Time  0.440686
2021-09-27 12:47:15.162783 : Epoch  6, Batch    662, Loss  1.195606, Average Loss  1.196198, Time  0.438837
2021-09-27 12:47:21.085777 : Epoch  6, Batch    663, Loss  1.201821, Average Loss  1.196228, Time  0.441159
2021-09-27 12:47:27.018967 : Epoch  6, Batch    664, Loss  1.201926, Average Loss  1.196224, Time  0.442590
2021-09-27 12:47:32.931762 : Epoch  6, Batch    665, Loss  1.207529, Average Loss  1.196342, Time  0.438922
2021-09-27 12:47:38.853068 : Epoch  6, Batch    666, Loss  1.182445, Average Loss  1.196246, Time  0.440297
2021-09-27 12:47:44.769818 : Epoch  6, Batch    667, Loss  1.206589, Average Loss  1.196310, Time  0.445082
2021-09-27 12:47:50.684485 : Epoch  6, Batch    668, Loss  1.190398, Average Loss  1.196226, Time  0.440338
2021-09-27 12:47:56.602674 : Epoch  6, Batch    669, Loss  1.199713, Average Loss  1.196206, Time  0.438766
2021-09-27 12:48:02.520588 : Epoch  6, Batch    670, Loss  1.182538, Average Loss  1.196155, Time  0.439148
2021-09-27 12:48:08.441714 : Epoch  6, Batch    671, Loss  1.197682, Average Loss  1.196162, Time  0.439724
2021-09-27 12:48:14.347224 : Epoch  6, Batch    672, Loss  1.191580, Average Loss  1.196185, Time  0.440086
2021-09-27 12:48:20.261298 : Epoch  6, Batch    673, Loss  1.189611, Average Loss  1.196143, Time  0.441291
2021-09-27 12:48:26.171569 : Epoch  6, Batch    674, Loss  1.188938, Average Loss  1.196119, Time  0.439446
2021-09-27 12:48:32.103256 : Epoch  6, Batch    675, Loss  1.194627, Average Loss  1.196129, Time  0.455822
2021-09-27 12:48:38.014073 : Epoch  6, Batch    676, Loss  1.201744, Average Loss  1.196098, Time  0.440584
2021-09-27 12:48:43.929028 : Epoch  6, Batch    677, Loss  1.212467, Average Loss  1.196184, Time  0.441197
2021-09-27 12:48:49.850160 : Epoch  6, Batch    678, Loss  1.173156, Average Loss  1.196090, Time  0.439958
2021-09-27 12:48:55.772371 : Epoch  6, Batch    679, Loss  1.194677, Average Loss  1.196022, Time  0.440562
2021-09-27 12:49:01.679560 : Epoch  6, Batch    680, Loss  1.191343, Average Loss  1.196061, Time  0.440462
2021-09-27 12:49:07.607164 : Epoch  6, Batch    681, Loss  1.186679, Average Loss  1.195965, Time  0.440742
2021-09-27 12:49:13.533045 : Epoch  6, Batch    682, Loss  1.206258, Average Loss  1.196103, Time  0.443723
2021-09-27 12:49:19.479780 : Epoch  6, Batch    683, Loss  1.196765, Average Loss  1.196031, Time  0.449970
2021-09-27 12:49:25.407429 : Epoch  6, Batch    684, Loss  1.209187, Average Loss  1.196025, Time  0.439615
2021-09-27 12:49:31.325505 : Epoch  6, Batch    685, Loss  1.193214, Average Loss  1.196018, Time  0.438699
2021-09-27 12:49:37.244033 : Epoch  6, Batch    686, Loss  1.195252, Average Loss  1.196012, Time  0.441092
2021-09-27 12:49:43.165550 : Epoch  6, Batch    687, Loss  1.190307, Average Loss  1.195886, Time  0.439404
2021-09-27 12:49:49.088366 : Epoch  6, Batch    688, Loss  1.192414, Average Loss  1.195798, Time  0.442751
2021-09-27 12:49:55.006499 : Epoch  6, Batch    689, Loss  1.201766, Average Loss  1.195866, Time  0.439118
2021-09-27 12:50:00.928314 : Epoch  6, Batch    690, Loss  1.177886, Average Loss  1.195677, Time  0.441211
2021-09-27 12:50:06.869669 : Epoch  6, Batch    691, Loss  1.179204, Average Loss  1.195592, Time  0.455917
2021-09-27 12:50:12.796034 : Epoch  6, Batch    692, Loss  1.193431, Average Loss  1.195531, Time  0.440514
2021-09-27 12:50:18.715807 : Epoch  6, Batch    693, Loss  1.200561, Average Loss  1.195555, Time  0.438615
2021-09-27 12:50:24.639763 : Epoch  6, Batch    694, Loss  1.190485, Average Loss  1.195476, Time  0.441434
2021-09-27 12:50:30.563547 : Epoch  6, Batch    695, Loss  1.209661, Average Loss  1.195556, Time  0.439218
2021-09-27 12:50:36.484782 : Epoch  6, Batch    696, Loss  1.191676, Average Loss  1.195410, Time  0.440395
2021-09-27 12:50:42.406535 : Epoch  6, Batch    697, Loss  1.198707, Average Loss  1.195420, Time  0.438952
2021-09-27 12:50:48.328701 : Epoch  6, Batch    698, Loss  1.186218, Average Loss  1.195283, Time  0.442545
2021-09-27 12:50:54.257796 : Epoch  6, Batch    699, Loss  1.174025, Average Loss  1.195189, Time  0.451225
2021-09-27 12:51:00.181381 : Epoch  6, Batch    700, Loss  1.183025, Average Loss  1.195165, Time  0.440114
2021-09-27 12:51:06.112803 : Epoch  6, Batch    701, Loss  1.173451, Average Loss  1.195016, Time  0.439812
2021-09-27 12:51:12.041832 : Epoch  6, Batch    702, Loss  1.190911, Average Loss  1.195054, Time  0.438877
2021-09-27 12:51:17.966344 : Epoch  6, Batch    703, Loss  1.184083, Average Loss  1.195005, Time  0.439281
2021-09-27 12:51:23.878379 : Epoch  6, Batch    704, Loss  1.203044, Average Loss  1.195049, Time  0.439515
2021-09-27 12:51:29.807312 : Epoch  6, Batch    705, Loss  1.195810, Average Loss  1.195122, Time  0.439866
2021-09-27 12:51:35.735498 : Epoch  6, Batch    706, Loss  1.199634, Average Loss  1.195169, Time  0.447937
2021-09-27 12:51:41.671315 : Epoch  6, Batch    707, Loss  1.194815, Average Loss  1.195217, Time  0.439267
2021-09-27 12:51:47.596372 : Epoch  6, Batch    708, Loss  1.198878, Average Loss  1.195236, Time  0.440112
2021-09-27 12:51:53.518919 : Epoch  6, Batch    709, Loss  1.177097, Average Loss  1.195151, Time  0.438960
2021-09-27 12:51:59.443350 : Epoch  6, Batch    710, Loss  1.179453, Average Loss  1.195065, Time  0.439396
2021-09-27 12:52:05.356690 : Epoch  6, Batch    711, Loss  1.206176, Average Loss  1.195083, Time  0.440395
2021-09-27 12:52:11.289793 : Epoch  6, Batch    712, Loss  1.186830, Average Loss  1.194969, Time  0.441224
2021-09-27 12:52:17.213261 : Epoch  6, Batch    713, Loss  1.189023, Average Loss  1.194954, Time  0.443025
2021-09-27 12:52:23.155933 : Epoch  6, Batch    714, Loss  1.206307, Average Loss  1.195034, Time  0.453011
2021-09-27 12:52:29.076860 : Epoch  6, Batch    715, Loss  1.187499, Average Loss  1.194989, Time  0.439877
2021-09-27 12:52:34.993558 : Epoch  6, Batch    716, Loss  1.187468, Average Loss  1.194916, Time  0.441991
2021-09-27 12:52:40.902722 : Epoch  6, Batch    717, Loss  1.210498, Average Loss  1.194939, Time  0.440761
2021-09-27 12:52:46.825777 : Epoch  6, Batch    718, Loss  1.198063, Average Loss  1.194933, Time  0.440242
2021-09-27 12:52:52.729239 : Epoch  6, Batch    719, Loss  1.189188, Average Loss  1.194889, Time  0.438337
2021-09-27 12:52:58.652754 : Epoch  6, Batch    720, Loss  1.196322, Average Loss  1.194859, Time  0.440258
2021-09-27 12:53:04.562448 : Epoch  6, Batch    721, Loss  1.190292, Average Loss  1.194843, Time  0.439514
2021-09-27 12:53:10.489757 : Epoch  6, Batch    722, Loss  1.185087, Average Loss  1.194661, Time  0.448140
2021-09-27 12:53:16.423740 : Epoch  6, Batch    723, Loss  1.188454, Average Loss  1.194697, Time  0.440776
2021-09-27 12:53:22.343768 : Epoch  6, Batch    724, Loss  1.187682, Average Loss  1.194694, Time  0.438962
2021-09-27 12:53:28.277876 : Epoch  6, Batch    725, Loss  1.197788, Average Loss  1.194653, Time  0.440571
2021-09-27 12:53:34.191128 : Epoch  6, Batch    726, Loss  1.183820, Average Loss  1.194670, Time  0.440445
2021-09-27 12:53:40.110142 : Epoch  6, Batch    727, Loss  1.199056, Average Loss  1.194642, Time  0.441456
2021-09-27 12:53:46.026103 : Epoch  6, Batch    728, Loss  1.190889, Average Loss  1.194640, Time  0.439642
2021-09-27 12:53:51.951871 : Epoch  6, Batch    729, Loss  1.188713, Average Loss  1.194560, Time  0.441050
2021-09-27 12:53:57.881815 : Epoch  6, Batch    730, Loss  1.189826, Average Loss  1.194575, Time  0.451776
2021-09-27 12:54:03.802143 : Epoch  6, Batch    731, Loss  1.212650, Average Loss  1.194603, Time  0.441107
2021-09-27 12:54:09.722764 : Epoch  6, Batch    732, Loss  1.195404, Average Loss  1.194659, Time  0.440356
2021-09-27 12:54:15.643251 : Epoch  6, Batch    733, Loss  1.195966, Average Loss  1.194601, Time  0.440652
2021-09-27 12:54:21.555869 : Epoch  6, Batch    734, Loss  1.187503, Average Loss  1.194566, Time  0.439644
2021-09-27 12:54:27.481510 : Epoch  6, Batch    735, Loss  1.191980, Average Loss  1.194643, Time  0.442179
2021-09-27 12:54:33.411018 : Epoch  6, Batch    736, Loss  1.197179, Average Loss  1.194574, Time  0.440751
2021-09-27 12:54:39.343893 : Epoch  6, Batch    737, Loss  1.195590, Average Loss  1.194560, Time  0.438808
2021-09-27 12:54:45.278030 : Epoch  6, Batch    738, Loss  1.204060, Average Loss  1.194509, Time  0.456841
2021-09-27 12:54:51.184640 : Epoch  6, Batch    739, Loss  1.204792, Average Loss  1.194577, Time  0.438775
2021-09-27 12:54:57.098888 : Epoch  6, Batch    740, Loss  1.191490, Average Loss  1.194507, Time  0.439642
2021-09-27 12:55:03.015192 : Epoch  6, Batch    741, Loss  1.186620, Average Loss  1.194410, Time  0.441986
2021-09-27 12:55:08.925820 : Epoch  6, Batch    742, Loss  1.202419, Average Loss  1.194459, Time  0.440364
2021-09-27 12:55:14.837181 : Epoch  6, Batch    743, Loss  1.186060, Average Loss  1.194462, Time  0.442812
2021-09-27 12:55:20.761324 : Epoch  6, Batch    744, Loss  1.183321, Average Loss  1.194467, Time  0.439622
2021-09-27 12:55:26.688891 : Epoch  6, Batch    745, Loss  1.193644, Average Loss  1.194557, Time  0.450189
2021-09-27 12:55:32.610877 : Epoch  6, Batch    746, Loss  1.191881, Average Loss  1.194571, Time  0.441145
2021-09-27 12:55:38.528536 : Epoch  6, Batch    747, Loss  1.196596, Average Loss  1.194531, Time  0.438591
2021-09-27 12:55:44.466850 : Epoch  6, Batch    748, Loss  1.192022, Average Loss  1.194459, Time  0.439533
2021-09-27 12:55:50.377332 : Epoch  6, Batch    749, Loss  1.198624, Average Loss  1.194474, Time  0.439578
2021-09-27 12:55:56.297719 : Epoch  6, Batch    750, Loss  1.191695, Average Loss  1.194474, Time  0.439279
2021-09-27 12:56:02.212783 : Epoch  6, Batch    751, Loss  1.197673, Average Loss  1.194485, Time  0.439808
2021-09-27 12:56:08.130578 : Epoch  6, Batch    752, Loss  1.193457, Average Loss  1.194459, Time  0.439685
2021-09-27 12:56:14.062779 : Epoch  6, Batch    753, Loss  1.190069, Average Loss  1.194396, Time  0.452724
2021-09-27 12:56:19.999245 : Epoch  6, Batch    754, Loss  1.192120, Average Loss  1.194373, Time  0.441637
2021-09-27 12:56:25.934001 : Epoch  6, Batch    755, Loss  1.201590, Average Loss  1.194344, Time  0.441438
2021-09-27 12:56:31.860647 : Epoch  6, Batch    756, Loss  1.188843, Average Loss  1.194301, Time  0.443555
2021-09-27 12:56:37.776499 : Epoch  6, Batch    757, Loss  1.200011, Average Loss  1.194444, Time  0.440815
2021-09-27 12:56:43.697261 : Epoch  6, Batch    758, Loss  1.200105, Average Loss  1.194548, Time  0.439056
2021-09-27 12:56:49.627935 : Epoch  6, Batch    759, Loss  1.194273, Average Loss  1.194490, Time  0.439993
2021-09-27 12:56:55.550287 : Epoch  6, Batch    760, Loss  1.184950, Average Loss  1.194492, Time  0.439420
2021-09-27 13:01:35.442296 : CheckPoint: Validation Loss  0.00020805, Best Loss  0.00020384
2021-09-27 13:01:41.353195 : Epoch  6, Batch    761, Loss  1.212311, Average Loss  1.194574, Time  0.439146
2021-09-27 13:01:47.264832 : Epoch  6, Batch    762, Loss  1.197808, Average Loss  1.194655, Time  0.439469
2021-09-27 13:01:53.164623 : Epoch  6, Batch    763, Loss  1.196698, Average Loss  1.194644, Time  0.440589
2021-09-27 13:01:59.084776 : Epoch  6, Batch    764, Loss  1.208634, Average Loss  1.194701, Time  0.443044
2021-09-27 13:02:05.002361 : Epoch  6, Batch    765, Loss  1.190549, Average Loss  1.194644, Time  0.442580
2021-09-27 13:02:10.900141 : Epoch  6, Batch    766, Loss  1.184768, Average Loss  1.194611, Time  0.439172
2021-09-27 13:02:16.824284 : Epoch  6, Batch    767, Loss  1.209278, Average Loss  1.194625, Time  0.447014
2021-09-27 13:02:22.737925 : Epoch  6, Batch    768, Loss  1.202660, Average Loss  1.194699, Time  0.438700
2021-09-27 13:02:28.660487 : Epoch  6, Batch    769, Loss  1.194360, Average Loss  1.194635, Time  0.439384
2021-09-27 13:02:34.562698 : Epoch  6, Batch    770, Loss  1.192898, Average Loss  1.194620, Time  0.441186
2021-09-27 13:02:40.478838 : Epoch  6, Batch    771, Loss  1.193077, Average Loss  1.194595, Time  0.440841
2021-09-27 13:02:46.400613 : Epoch  6, Batch    772, Loss  1.195638, Average Loss  1.194499, Time  0.441312
2021-09-27 13:02:52.302711 : Epoch  6, Batch    773, Loss  1.209445, Average Loss  1.194587, Time  0.439697
2021-09-27 13:02:58.215486 : Epoch  6, Batch    774, Loss  1.197911, Average Loss  1.194616, Time  0.438483
2021-09-27 13:03:04.139945 : Epoch  6, Batch    775, Loss  1.192911, Average Loss  1.194623, Time  0.456917
2021-09-27 13:03:10.054683 : Epoch  6, Batch    776, Loss  1.190942, Average Loss  1.194568, Time  0.443086
2021-09-27 13:03:15.959727 : Epoch  6, Batch    777, Loss  1.199617, Average Loss  1.194550, Time  0.440638
2021-09-27 13:03:21.866869 : Epoch  6, Batch    778, Loss  1.205273, Average Loss  1.194578, Time  0.439948
2021-09-27 13:03:27.775774 : Epoch  6, Batch    779, Loss  1.177206, Average Loss  1.194420, Time  0.440518
2021-09-27 13:03:33.680281 : Epoch  6, Batch    780, Loss  1.197825, Average Loss  1.194404, Time  0.441496
2021-09-27 13:03:39.600789 : Epoch  6, Batch    781, Loss  1.196502, Average Loss  1.194380, Time  0.440845
2021-09-27 13:03:45.498219 : Epoch  6, Batch    782, Loss  1.199505, Average Loss  1.194461, Time  0.438826
2021-09-27 13:03:51.418737 : Epoch  6, Batch    783, Loss  1.188052, Average Loss  1.194442, Time  0.449154
2021-09-27 13:03:57.325814 : Epoch  6, Batch    784, Loss  1.190732, Average Loss  1.194319, Time  0.438276
2021-09-27 13:04:03.237759 : Epoch  6, Batch    785, Loss  1.201895, Average Loss  1.194351, Time  0.440346
2021-09-27 13:04:09.144498 : Epoch  6, Batch    786, Loss  1.193898, Average Loss  1.194473, Time  0.440863
2021-09-27 13:04:15.071628 : Epoch  6, Batch    787, Loss  1.196298, Average Loss  1.194422, Time  0.443079
2021-09-27 13:04:20.984165 : Epoch  6, Batch    788, Loss  1.192234, Average Loss  1.194517, Time  0.441432
2021-09-27 13:04:26.894897 : Epoch  6, Batch    789, Loss  1.191524, Average Loss  1.194494, Time  0.439234
2021-09-27 13:04:32.814666 : Epoch  6, Batch    790, Loss  1.173995, Average Loss  1.194378, Time  0.440979
2021-09-27 13:04:38.763508 : Epoch  6, Batch    791, Loss  1.186800, Average Loss  1.194302, Time  0.457944
2021-09-27 13:04:44.680136 : Epoch  6, Batch    792, Loss  1.202492, Average Loss  1.194306, Time  0.438881
2021-09-27 13:04:50.601030 : Epoch  6, Batch    793, Loss  1.192437, Average Loss  1.194319, Time  0.440512
2021-09-27 13:04:56.518717 : Epoch  6, Batch    794, Loss  1.171117, Average Loss  1.194235, Time  0.439196
2021-09-27 13:05:02.446561 : Epoch  6, Batch    795, Loss  1.203331, Average Loss  1.194226, Time  0.440300
2021-09-27 13:05:08.356794 : Epoch  6, Batch    796, Loss  1.184438, Average Loss  1.194174, Time  0.438994
2021-09-27 13:05:14.281071 : Epoch  6, Batch    797, Loss  1.197325, Average Loss  1.194171, Time  0.439496
2021-09-27 13:05:20.198794 : Epoch  6, Batch    798, Loss  1.206153, Average Loss  1.194224, Time  0.440097
2021-09-27 13:05:26.120903 : Epoch  6, Batch    799, Loss  1.193727, Average Loss  1.194221, Time  0.450008
2021-09-27 13:05:32.042205 : Epoch  6, Batch    800, Loss  1.184397, Average Loss  1.194212, Time  0.441539
2021-09-27 13:05:37.949787 : Epoch  6, Batch    801, Loss  1.197871, Average Loss  1.194186, Time  0.439121
2021-09-27 13:05:43.864563 : Epoch  6, Batch    802, Loss  1.175457, Average Loss  1.194117, Time  0.441295
2021-09-27 13:05:49.771928 : Epoch  6, Batch    803, Loss  1.194021, Average Loss  1.194171, Time  0.439735
2021-09-27 13:05:55.689531 : Epoch  6, Batch    804, Loss  1.188292, Average Loss  1.194137, Time  0.441682
2021-09-27 13:06:01.614525 : Epoch  6, Batch    805, Loss  1.190048, Average Loss  1.194068, Time  0.442234
2021-09-27 13:06:07.542504 : Epoch  6, Batch    806, Loss  1.197071, Average Loss  1.194044, Time  0.442235
2021-09-27 13:06:13.459822 : Epoch  6, Batch    807, Loss  1.188585, Average Loss  1.194062, Time  0.448981
2021-09-27 13:06:19.384992 : Epoch  6, Batch    808, Loss  1.206999, Average Loss  1.194092, Time  0.440159
2021-09-27 13:06:25.300402 : Epoch  6, Batch    809, Loss  1.198607, Average Loss  1.194071, Time  0.439595
2021-09-27 13:06:31.216142 : Epoch  6, Batch    810, Loss  1.185562, Average Loss  1.194054, Time  0.438837
2021-09-27 13:06:37.116168 : Epoch  6, Batch    811, Loss  1.202294, Average Loss  1.194095, Time  0.439042
2021-09-27 13:06:43.026566 : Epoch  6, Batch    812, Loss  1.201098, Average Loss  1.194106, Time  0.444569
2021-09-27 13:06:48.945786 : Epoch  6, Batch    813, Loss  1.178887, Average Loss  1.193966, Time  0.439192
2021-09-27 13:06:54.864759 : Epoch  6, Batch    814, Loss  1.191993, Average Loss  1.193957, Time  0.439086
2021-09-27 13:07:00.804903 : Epoch  6, Batch    815, Loss  1.199371, Average Loss  1.193944, Time  0.456788
2021-09-27 13:07:06.720942 : Epoch  6, Batch    816, Loss  1.210128, Average Loss  1.194027, Time  0.439491
2021-09-27 13:07:12.636072 : Epoch  6, Batch    817, Loss  1.204463, Average Loss  1.194069, Time  0.440341
2021-09-27 13:07:18.549783 : Epoch  6, Batch    818, Loss  1.187891, Average Loss  1.193985, Time  0.438663
2021-09-27 13:07:24.464348 : Epoch  6, Batch    819, Loss  1.191654, Average Loss  1.193954, Time  0.443044
2021-09-27 13:07:30.390726 : Epoch  6, Batch    820, Loss  1.194314, Average Loss  1.193935, Time  0.439470
2021-09-27 13:07:36.315212 : Epoch  6, Batch    821, Loss  1.200904, Average Loss  1.193926, Time  0.445899
2021-09-27 13:07:42.246717 : Epoch  6, Batch    822, Loss  1.214371, Average Loss  1.194029, Time  0.440803
2021-09-27 13:07:48.175859 : Epoch  6, Batch    823, Loss  1.215379, Average Loss  1.194087, Time  0.453553
2021-09-27 13:07:54.070070 : Epoch  6, Batch    824, Loss  1.199256, Average Loss  1.194081, Time  0.441998
2021-09-27 13:07:59.980111 : Epoch  6, Batch    825, Loss  1.196853, Average Loss  1.194087, Time  0.438920
2021-09-27 13:08:05.893254 : Epoch  6, Batch    826, Loss  1.182948, Average Loss  1.194112, Time  0.442005
2021-09-27 13:08:11.810767 : Epoch  6, Batch    827, Loss  1.182467, Average Loss  1.193985, Time  0.439596
2021-09-27 13:08:17.729881 : Epoch  6, Batch    828, Loss  1.182923, Average Loss  1.193908, Time  0.440348
2021-09-27 13:08:23.653828 : Epoch  6, Batch    829, Loss  1.180729, Average Loss  1.193912, Time  0.441780
2021-09-27 13:08:29.573968 : Epoch  6, Batch    830, Loss  1.224757, Average Loss  1.194056, Time  0.438534
2021-09-27 13:08:35.499851 : Epoch  6, Batch    831, Loss  1.197419, Average Loss  1.194117, Time  0.448201
2021-09-27 13:08:41.414783 : Epoch  6, Batch    832, Loss  1.208122, Average Loss  1.194115, Time  0.441736
2021-09-27 13:08:47.335911 : Epoch  6, Batch    833, Loss  1.202837, Average Loss  1.194212, Time  0.441800
2021-09-27 13:08:53.256380 : Epoch  6, Batch    834, Loss  1.196188, Average Loss  1.194192, Time  0.442703
2021-09-27 13:08:59.163888 : Epoch  6, Batch    835, Loss  1.195143, Average Loss  1.194187, Time  0.443393
2021-09-27 13:09:05.067602 : Epoch  6, Batch    836, Loss  1.202006, Average Loss  1.194287, Time  0.441563
2021-09-27 13:09:10.971005 : Epoch  6, Batch    837, Loss  1.194655, Average Loss  1.194250, Time  0.439870
2021-09-27 13:09:16.884477 : Epoch  6, Batch    838, Loss  1.193875, Average Loss  1.194266, Time  0.441879
2021-09-27 13:09:22.808247 : Epoch  6, Batch    839, Loss  1.180454, Average Loss  1.194121, Time  0.445869
2021-09-27 13:09:28.716828 : Epoch  6, Batch    840, Loss  1.200734, Average Loss  1.194136, Time  0.439716
2021-09-27 13:09:34.614224 : Epoch  6, Batch    841, Loss  1.200675, Average Loss  1.194147, Time  0.442707
2021-09-27 13:09:40.534356 : Epoch  6, Batch    842, Loss  1.191784, Average Loss  1.194168, Time  0.440235
2021-09-27 13:09:46.448793 : Epoch  6, Batch    843, Loss  1.190462, Average Loss  1.194135, Time  0.440338
2021-09-27 13:09:52.351049 : Epoch  6, Batch    844, Loss  1.200986, Average Loss  1.194138, Time  0.438730
2021-09-27 13:09:58.252866 : Epoch  6, Batch    845, Loss  1.181268, Average Loss  1.194050, Time  0.439980
2021-09-27 13:10:04.155682 : Epoch  6, Batch    846, Loss  1.188264, Average Loss  1.194018, Time  0.438828
2021-09-27 13:10:10.070723 : Epoch  6, Batch    847, Loss  1.212226, Average Loss  1.194137, Time  0.450425
2021-09-27 13:10:15.979686 : Epoch  6, Batch    848, Loss  1.204524, Average Loss  1.194273, Time  0.439542
2021-09-27 13:10:21.892896 : Epoch  6, Batch    849, Loss  1.218337, Average Loss  1.194361, Time  0.440036
2021-09-27 13:10:27.797829 : Epoch  6, Batch    850, Loss  1.193406, Average Loss  1.194414, Time  0.438918
2021-09-27 13:10:33.691136 : Epoch  6, Batch    851, Loss  1.174847, Average Loss  1.194335, Time  0.440065
2021-09-27 13:10:39.582678 : Epoch  6, Batch    852, Loss  1.202830, Average Loss  1.194408, Time  0.441072
2021-09-27 13:10:45.495996 : Epoch  6, Batch    853, Loss  1.195184, Average Loss  1.194495, Time  0.440778
2021-09-27 13:10:51.408900 : Epoch  6, Batch    854, Loss  1.197311, Average Loss  1.194501, Time  0.439711
2021-09-27 13:10:57.332231 : Epoch  6, Batch    855, Loss  1.200890, Average Loss  1.194529, Time  0.454786
2021-09-27 13:11:03.232788 : Epoch  6, Batch    856, Loss  1.195575, Average Loss  1.194511, Time  0.439127
2021-09-27 13:11:09.145981 : Epoch  6, Batch    857, Loss  1.201442, Average Loss  1.194588, Time  0.442237
2021-09-27 13:11:15.059914 : Epoch  6, Batch    858, Loss  1.181334, Average Loss  1.194500, Time  0.440307
2021-09-27 13:11:20.963424 : Epoch  6, Batch    859, Loss  1.186248, Average Loss  1.194532, Time  0.439782
2021-09-27 13:11:26.873864 : Epoch  6, Batch    860, Loss  1.194285, Average Loss  1.194533, Time  0.440441
2021-09-27 13:16:03.429229 : CheckPoint: Validation Loss  0.00021035, Best Loss  0.00020384
2021-09-27 13:16:09.346377 : Epoch  6, Batch    861, Loss  1.189020, Average Loss  1.194470, Time  0.443850
2021-09-27 13:16:15.260715 : Epoch  6, Batch    862, Loss  1.195257, Average Loss  1.194468, Time  0.439026
2021-09-27 13:16:21.194093 : Epoch  6, Batch    863, Loss  1.187546, Average Loss  1.194397, Time  0.453130
2021-09-27 13:16:27.112146 : Epoch  6, Batch    864, Loss  1.184606, Average Loss  1.194310, Time  0.438801
2021-09-27 13:16:33.035787 : Epoch  6, Batch    865, Loss  1.174980, Average Loss  1.194148, Time  0.442700
2021-09-27 13:16:38.960330 : Epoch  6, Batch    866, Loss  1.208787, Average Loss  1.194279, Time  0.439056
2021-09-27 13:16:44.888497 : Epoch  6, Batch    867, Loss  1.192199, Average Loss  1.194207, Time  0.438481
2021-09-27 13:16:50.804993 : Epoch  6, Batch    868, Loss  1.196540, Average Loss  1.194238, Time  0.439909
2021-09-27 13:16:56.718617 : Epoch  6, Batch    869, Loss  1.182394, Average Loss  1.194152, Time  0.439715
2021-09-27 13:17:02.638904 : Epoch  6, Batch    870, Loss  1.207731, Average Loss  1.194278, Time  0.440156
2021-09-27 13:17:08.602268 : Epoch  6, Batch    871, Loss  1.192799, Average Loss  1.194253, Time  0.453414
2021-09-27 13:17:14.520903 : Epoch  6, Batch    872, Loss  1.196795, Average Loss  1.194279, Time  0.440480
2021-09-27 13:17:20.452459 : Epoch  6, Batch    873, Loss  1.215789, Average Loss  1.194410, Time  0.439273
2021-09-27 13:17:26.365227 : Epoch  6, Batch    874, Loss  1.206531, Average Loss  1.194498, Time  0.440991
2021-09-27 13:17:32.272411 : Epoch  6, Batch    875, Loss  1.185918, Average Loss  1.194455, Time  0.439735
2021-09-27 13:17:38.190876 : Epoch  6, Batch    876, Loss  1.194398, Average Loss  1.194418, Time  0.440719
2021-09-27 13:17:44.111778 : Epoch  6, Batch    877, Loss  1.191398, Average Loss  1.194312, Time  0.440739
2021-09-27 13:17:50.034702 : Epoch  6, Batch    878, Loss  1.201887, Average Loss  1.194456, Time  0.440022
2021-09-27 13:17:55.969105 : Epoch  6, Batch    879, Loss  1.180066, Average Loss  1.194383, Time  0.452012
2021-09-27 13:18:01.887476 : Epoch  6, Batch    880, Loss  1.207747, Average Loss  1.194465, Time  0.438356
2021-09-27 13:18:07.806221 : Epoch  6, Batch    881, Loss  1.203389, Average Loss  1.194549, Time  0.439701
2021-09-27 13:18:13.728518 : Epoch  6, Batch    882, Loss  1.213786, Average Loss  1.194586, Time  0.439445
2021-09-27 13:18:19.647771 : Epoch  6, Batch    883, Loss  1.209659, Average Loss  1.194651, Time  0.441107
2021-09-27 13:18:25.561214 : Epoch  6, Batch    884, Loss  1.194595, Average Loss  1.194578, Time  0.440686
2021-09-27 13:18:31.490745 : Epoch  6, Batch    885, Loss  1.200818, Average Loss  1.194616, Time  0.440100
2021-09-27 13:18:37.417735 : Epoch  6, Batch    886, Loss  1.199571, Average Loss  1.194637, Time  0.439272
2021-09-27 13:18:43.344727 : Epoch  6, Batch    887, Loss  1.171936, Average Loss  1.194546, Time  0.445297
2021-09-27 13:18:49.270754 : Epoch  6, Batch    888, Loss  1.198984, Average Loss  1.194578, Time  0.440563
2021-09-27 13:18:55.184668 : Epoch  6, Batch    889, Loss  1.172407, Average Loss  1.194432, Time  0.440849
2021-09-27 13:19:01.111759 : Epoch  6, Batch    890, Loss  1.211835, Average Loss  1.194601, Time  0.443270
2021-09-27 13:19:07.023832 : Epoch  6, Batch    891, Loss  1.188270, Average Loss  1.194647, Time  0.441835
2021-09-27 13:19:12.959749 : Epoch  6, Batch    892, Loss  1.191013, Average Loss  1.194635, Time  0.440942
2021-09-27 13:19:18.888727 : Epoch  6, Batch    893, Loss  1.188257, Average Loss  1.194573, Time  0.440640
2021-09-27 13:19:24.833936 : Epoch  6, Batch    894, Loss  1.220800, Average Loss  1.194725, Time  0.454638
2021-09-27 13:19:30.755734 : Epoch  6, Batch    895, Loss  1.166138, Average Loss  1.194507, Time  0.442666
2021-09-27 13:19:36.675741 : Epoch  6, Batch    896, Loss  1.198182, Average Loss  1.194540, Time  0.440281
2021-09-27 13:19:42.599281 : Epoch  6, Batch    897, Loss  1.207546, Average Loss  1.194584, Time  0.439749
2021-09-27 13:19:48.513470 : Epoch  6, Batch    898, Loss  1.183027, Average Loss  1.194568, Time  0.439702
2021-09-27 13:19:54.456601 : Epoch  6, Batch    899, Loss  1.196897, Average Loss  1.194682, Time  0.441153
2021-09-27 13:20:00.382112 : Epoch  6, Batch    900, Loss  1.193454, Average Loss  1.194734, Time  0.441108
2021-09-27 13:20:06.319813 : Epoch  6, Batch    901, Loss  1.199307, Average Loss  1.194864, Time  0.440789
2021-09-27 13:20:12.241886 : Epoch  6, Batch    902, Loss  1.216093, Average Loss  1.194989, Time  0.447665
2021-09-27 13:20:18.175663 : Epoch  6, Batch    903, Loss  1.175143, Average Loss  1.194945, Time  0.441375
2021-09-27 13:20:24.097188 : Epoch  6, Batch    904, Loss  1.187899, Average Loss  1.194869, Time  0.440435
2021-09-27 13:20:30.037744 : Epoch  6, Batch    905, Loss  1.193853, Average Loss  1.194859, Time  0.438479
2021-09-27 13:20:35.963330 : Epoch  6, Batch    906, Loss  1.201172, Average Loss  1.194867, Time  0.438625
2021-09-27 13:20:41.879780 : Epoch  6, Batch    907, Loss  1.205542, Average Loss  1.194921, Time  0.438987
2021-09-27 13:20:47.806066 : Epoch  6, Batch    908, Loss  1.204325, Average Loss  1.194948, Time  0.441893
2021-09-27 13:20:53.723093 : Epoch  6, Batch    909, Loss  1.179053, Average Loss  1.194958, Time  0.440239
2021-09-27 13:20:59.671320 : Epoch  6, Batch    910, Loss  1.200718, Average Loss  1.195064, Time  0.450238
2021-09-27 13:21:05.589006 : Epoch  6, Batch    911, Loss  1.180492, Average Loss  1.194936, Time  0.439302
2021-09-27 13:21:11.509921 : Epoch  6, Batch    912, Loss  1.180873, Average Loss  1.194906, Time  0.440246
2021-09-27 13:21:17.435989 : Epoch  6, Batch    913, Loss  1.208924, Average Loss  1.195005, Time  0.439338
2021-09-27 13:21:23.375261 : Epoch  6, Batch    914, Loss  1.197508, Average Loss  1.194961, Time  0.440622
2021-09-27 13:21:29.292233 : Epoch  6, Batch    915, Loss  1.203931, Average Loss  1.195043, Time  0.439149
2021-09-27 13:21:35.215808 : Epoch  6, Batch    916, Loss  1.204906, Average Loss  1.195131, Time  0.443019
2021-09-27 13:21:41.155610 : Epoch  6, Batch    917, Loss  1.197902, Average Loss  1.195068, Time  0.439745
2021-09-27 13:21:47.091793 : Epoch  6, Batch    918, Loss  1.207968, Average Loss  1.195117, Time  0.452292
2021-09-27 13:21:53.007970 : Epoch  6, Batch    919, Loss  1.193342, Average Loss  1.195138, Time  0.439188
2021-09-27 13:21:58.941830 : Epoch  6, Batch    920, Loss  1.196254, Average Loss  1.195138, Time  0.440336
2021-09-27 13:22:04.871214 : Epoch  6, Batch    921, Loss  1.177671, Average Loss  1.195074, Time  0.442828
2021-09-27 13:22:10.795983 : Epoch  6, Batch    922, Loss  1.195093, Average Loss  1.195124, Time  0.439757
2021-09-27 13:22:16.719663 : Epoch  6, Batch    923, Loss  1.191218, Average Loss  1.195138, Time  0.439599
2021-09-27 13:22:22.641881 : Epoch  6, Batch    924, Loss  1.206003, Average Loss  1.195230, Time  0.442742
2021-09-27 13:22:28.559445 : Epoch  6, Batch    925, Loss  1.200845, Average Loss  1.195245, Time  0.439274
2021-09-27 13:22:34.511193 : Epoch  6, Batch    926, Loss  1.196518, Average Loss  1.195309, Time  0.456284
2021-09-27 13:22:40.437205 : Epoch  6, Batch    927, Loss  1.192391, Average Loss  1.195275, Time  0.439666
2021-09-27 13:22:46.350794 : Epoch  6, Batch    928, Loss  1.188014, Average Loss  1.195261, Time  0.438917
2021-09-27 13:22:46.390020 : Saving Model after 6-th Epoch.
2021-09-27 13:22:47.167351 : Epoch Finished.
2021-09-27 13:22:52.682667 : Batch Shuffled
2021-09-27 13:22:58.594243 : Epoch  7, Batch      1, Loss  1.190301, Average Loss  1.195269, Time  0.438147
2021-09-27 13:23:04.493385 : Epoch  7, Batch      2, Loss  1.172723, Average Loss  1.195183, Time  0.439275
2021-09-27 13:23:10.406023 : Epoch  7, Batch      3, Loss  1.177977, Average Loss  1.195010, Time  0.438671
2021-09-27 13:23:16.315809 : Epoch  7, Batch      4, Loss  1.209661, Average Loss  1.195081, Time  0.440096
2021-09-27 13:23:22.239561 : Epoch  7, Batch      5, Loss  1.179745, Average Loss  1.195000, Time  0.450711
2021-09-27 13:23:28.148013 : Epoch  7, Batch      6, Loss  1.199106, Average Loss  1.195058, Time  0.441146
2021-09-27 13:23:34.063255 : Epoch  7, Batch      7, Loss  1.183049, Average Loss  1.195014, Time  0.440397
2021-09-27 13:23:39.977796 : Epoch  7, Batch      8, Loss  1.197445, Average Loss  1.195015, Time  0.439315
2021-09-27 13:23:45.897905 : Epoch  7, Batch      9, Loss  1.192254, Average Loss  1.194998, Time  0.442564
2021-09-27 13:23:51.822748 : Epoch  7, Batch     10, Loss  1.184906, Average Loss  1.194902, Time  0.440789
2021-09-27 13:23:57.733305 : Epoch  7, Batch     11, Loss  1.205101, Average Loss  1.194904, Time  0.444101
2021-09-27 13:24:03.664129 : Epoch  7, Batch     12, Loss  1.186998, Average Loss  1.194882, Time  0.438813
2021-09-27 13:24:09.597797 : Epoch  7, Batch     13, Loss  1.184175, Average Loss  1.194869, Time  0.455525
2021-09-27 13:24:15.522691 : Epoch  7, Batch     14, Loss  1.210219, Average Loss  1.194908, Time  0.440536
2021-09-27 13:24:21.434127 : Epoch  7, Batch     15, Loss  1.194973, Average Loss  1.194953, Time  0.440652
2021-09-27 13:24:27.346790 : Epoch  7, Batch     16, Loss  1.193835, Average Loss  1.195005, Time  0.440587
2021-09-27 13:24:33.262802 : Epoch  7, Batch     17, Loss  1.184251, Average Loss  1.194959, Time  0.438511
2021-09-27 13:24:39.172790 : Epoch  7, Batch     18, Loss  1.205847, Average Loss  1.195028, Time  0.440102
2021-09-27 13:24:45.083555 : Epoch  7, Batch     19, Loss  1.209188, Average Loss  1.195091, Time  0.438475
2021-09-27 13:24:51.019571 : Epoch  7, Batch     20, Loss  1.193879, Average Loss  1.195101, Time  0.440545
2021-09-27 13:24:56.946766 : Epoch  7, Batch     21, Loss  1.206676, Average Loss  1.195141, Time  0.452986
2021-09-27 13:25:02.870870 : Epoch  7, Batch     22, Loss  1.178429, Average Loss  1.195075, Time  0.439709
2021-09-27 13:25:08.783111 : Epoch  7, Batch     23, Loss  1.193438, Average Loss  1.195053, Time  0.438944
2021-09-27 13:25:14.694450 : Epoch  7, Batch     24, Loss  1.207345, Average Loss  1.195123, Time  0.439717
2021-09-27 13:25:20.604703 : Epoch  7, Batch     25, Loss  1.201474, Average Loss  1.195180, Time  0.439810
2021-09-27 13:25:26.525847 : Epoch  7, Batch     26, Loss  1.197297, Average Loss  1.195206, Time  0.443238
2021-09-27 13:25:32.425853 : Epoch  7, Batch     27, Loss  1.185812, Average Loss  1.195127, Time  0.439995
2021-09-27 13:25:38.329693 : Epoch  7, Batch     28, Loss  1.197148, Average Loss  1.195168, Time  0.439026
2021-09-27 13:25:44.248762 : Epoch  7, Batch     29, Loss  1.202428, Average Loss  1.195180, Time  0.453718
2021-09-27 13:25:50.176476 : Epoch  7, Batch     30, Loss  1.204753, Average Loss  1.195204, Time  0.439727
2021-09-27 13:25:56.090917 : Epoch  7, Batch     31, Loss  1.186862, Average Loss  1.195167, Time  0.443377
2021-09-27 13:26:01.994329 : Epoch  7, Batch     32, Loss  1.198582, Average Loss  1.195235, Time  0.444530
2021-09-27 13:30:39.034778 : CheckPoint: Validation Loss  0.00021136, Best Loss  0.00020384
2021-09-27 13:30:44.941451 : Epoch  7, Batch     33, Loss  1.183018, Average Loss  1.195088, Time  0.439365
2021-09-27 13:30:50.852368 : Epoch  7, Batch     34, Loss  1.180123, Average Loss  1.195000, Time  0.440532
2021-09-27 13:30:56.771504 : Epoch  7, Batch     35, Loss  1.191628, Average Loss  1.194974, Time  0.440412
2021-09-27 13:31:02.690567 : Epoch  7, Batch     36, Loss  1.190873, Average Loss  1.194886, Time  0.441267
2021-09-27 13:31:08.635715 : Epoch  7, Batch     37, Loss  1.219249, Average Loss  1.195029, Time  0.451767
2021-09-27 13:31:14.564128 : Epoch  7, Batch     38, Loss  1.209267, Average Loss  1.195152, Time  0.442197
2021-09-27 13:31:20.473350 : Epoch  7, Batch     39, Loss  1.193537, Average Loss  1.195073, Time  0.439719
2021-09-27 13:31:26.385605 : Epoch  7, Batch     40, Loss  1.192961, Average Loss  1.195024, Time  0.439608
2021-09-27 13:31:32.300668 : Epoch  7, Batch     41, Loss  1.187593, Average Loss  1.194991, Time  0.442194
2021-09-27 13:31:38.215655 : Epoch  7, Batch     42, Loss  1.196729, Average Loss  1.195010, Time  0.438705
2021-09-27 13:31:44.131444 : Epoch  7, Batch     43, Loss  1.202158, Average Loss  1.195055, Time  0.439061
2021-09-27 13:31:50.068827 : Epoch  7, Batch     44, Loss  1.211180, Average Loss  1.195133, Time  0.442551
2021-09-27 13:31:55.989204 : Epoch  7, Batch     45, Loss  1.189502, Average Loss  1.195033, Time  0.447727
2021-09-27 13:32:01.901811 : Epoch  7, Batch     46, Loss  1.193600, Average Loss  1.195012, Time  0.441803
2021-09-27 13:32:07.832180 : Epoch  7, Batch     47, Loss  1.188521, Average Loss  1.194990, Time  0.441903
2021-09-27 13:32:13.736941 : Epoch  7, Batch     48, Loss  1.209982, Average Loss  1.195085, Time  0.441065
2021-09-27 13:32:19.639997 : Epoch  7, Batch     49, Loss  1.186516, Average Loss  1.195019, Time  0.439296
2021-09-27 13:32:25.551541 : Epoch  7, Batch     50, Loss  1.183974, Average Loss  1.194913, Time  0.442157
2021-09-27 13:32:31.459402 : Epoch  7, Batch     51, Loss  1.189419, Average Loss  1.194974, Time  0.441756
2021-09-27 13:32:37.376893 : Epoch  7, Batch     52, Loss  1.193481, Average Loss  1.194952, Time  0.438168
2021-09-27 13:32:43.282804 : Epoch  7, Batch     53, Loss  1.195766, Average Loss  1.194949, Time  0.447599
2021-09-27 13:32:49.193746 : Epoch  7, Batch     54, Loss  1.188171, Average Loss  1.194892, Time  0.439553
2021-09-27 13:32:55.111498 : Epoch  7, Batch     55, Loss  1.196544, Average Loss  1.194934, Time  0.440809
2021-09-27 13:33:01.038876 : Epoch  7, Batch     56, Loss  1.192532, Average Loss  1.194943, Time  0.442437
2021-09-27 13:33:06.964130 : Epoch  7, Batch     57, Loss  1.181881, Average Loss  1.194843, Time  0.438704
2021-09-27 13:33:12.883576 : Epoch  7, Batch     58, Loss  1.187211, Average Loss  1.194810, Time  0.438916
2021-09-27 13:33:18.813740 : Epoch  7, Batch     59, Loss  1.183613, Average Loss  1.194746, Time  0.439752
2021-09-27 13:33:24.715610 : Epoch  7, Batch     60, Loss  1.209510, Average Loss  1.194833, Time  0.438991
2021-09-27 13:33:30.645673 : Epoch  7, Batch     61, Loss  1.204511, Average Loss  1.194898, Time  0.454132
2021-09-27 13:33:36.565938 : Epoch  7, Batch     62, Loss  1.202425, Average Loss  1.195040, Time  0.439313
2021-09-27 13:33:42.500110 : Epoch  7, Batch     63, Loss  1.201343, Average Loss  1.195113, Time  0.442131
2021-09-27 13:33:48.405507 : Epoch  7, Batch     64, Loss  1.198379, Average Loss  1.195092, Time  0.439593
2021-09-27 13:33:54.327655 : Epoch  7, Batch     65, Loss  1.192052, Average Loss  1.195090, Time  0.440031
2021-09-27 13:34:00.251803 : Epoch  7, Batch     66, Loss  1.215809, Average Loss  1.195314, Time  0.441113
2021-09-27 13:34:06.173028 : Epoch  7, Batch     67, Loss  1.206227, Average Loss  1.195328, Time  0.442121
2021-09-27 13:34:12.087865 : Epoch  7, Batch     68, Loss  1.202775, Average Loss  1.195420, Time  0.438695
2021-09-27 13:34:18.016328 : Epoch  7, Batch     69, Loss  1.196887, Average Loss  1.195418, Time  0.449520
2021-09-27 13:34:23.929571 : Epoch  7, Batch     70, Loss  1.186990, Average Loss  1.195322, Time  0.439043
2021-09-27 13:34:29.839969 : Epoch  7, Batch     71, Loss  1.201210, Average Loss  1.195359, Time  0.439910
2021-09-27 13:34:35.746748 : Epoch  7, Batch     72, Loss  1.206980, Average Loss  1.195472, Time  0.440421
2021-09-27 13:34:41.662326 : Epoch  7, Batch     73, Loss  1.202875, Average Loss  1.195497, Time  0.441477
2021-09-27 13:34:47.596642 : Epoch  7, Batch     74, Loss  1.182430, Average Loss  1.195532, Time  0.444513
2021-09-27 13:34:53.517791 : Epoch  7, Batch     75, Loss  1.193680, Average Loss  1.195530, Time  0.440612
2021-09-27 13:34:59.440384 : Epoch  7, Batch     76, Loss  1.180060, Average Loss  1.195489, Time  0.441905
2021-09-27 13:35:05.338762 : Epoch  7, Batch     77, Loss  1.195050, Average Loss  1.195514, Time  0.445663
2021-09-27 13:35:11.254518 : Epoch  7, Batch     78, Loss  1.196843, Average Loss  1.195513, Time  0.439533
2021-09-27 13:35:17.167479 : Epoch  7, Batch     79, Loss  1.199314, Average Loss  1.195567, Time  0.439313
2021-09-27 13:35:23.085186 : Epoch  7, Batch     80, Loss  1.190051, Average Loss  1.195482, Time  0.440189
2021-09-27 13:35:29.002409 : Epoch  7, Batch     81, Loss  1.190578, Average Loss  1.195442, Time  0.442363
2021-09-27 13:35:34.921700 : Epoch  7, Batch     82, Loss  1.206219, Average Loss  1.195545, Time  0.439467
2021-09-27 13:35:40.846885 : Epoch  7, Batch     83, Loss  1.191728, Average Loss  1.195492, Time  0.440419
2021-09-27 13:35:46.778791 : Epoch  7, Batch     84, Loss  1.189131, Average Loss  1.195432, Time  0.449601
2021-09-27 13:35:52.690911 : Epoch  7, Batch     85, Loss  1.191810, Average Loss  1.195497, Time  0.439975
2021-09-27 13:35:58.616657 : Epoch  7, Batch     86, Loss  1.203165, Average Loss  1.195553, Time  0.440863
2021-09-27 13:36:04.544561 : Epoch  7, Batch     87, Loss  1.197399, Average Loss  1.195543, Time  0.441274
2021-09-27 13:36:10.456945 : Epoch  7, Batch     88, Loss  1.202812, Average Loss  1.195506, Time  0.441562
2021-09-27 13:36:16.362618 : Epoch  7, Batch     89, Loss  1.189970, Average Loss  1.195434, Time  0.439619
2021-09-27 13:36:22.274858 : Epoch  7, Batch     90, Loss  1.185948, Average Loss  1.195424, Time  0.443101
2021-09-27 13:36:28.194632 : Epoch  7, Batch     91, Loss  1.192435, Average Loss  1.195428, Time  0.439479
2021-09-27 13:36:34.128021 : Epoch  7, Batch     92, Loss  1.191713, Average Loss  1.195415, Time  0.457034
2021-09-27 13:36:40.046184 : Epoch  7, Batch     93, Loss  1.209713, Average Loss  1.195459, Time  0.441926
2021-09-27 13:36:45.957998 : Epoch  7, Batch     94, Loss  1.191958, Average Loss  1.195347, Time  0.438626
2021-09-27 13:36:51.863114 : Epoch  7, Batch     95, Loss  1.204813, Average Loss  1.195294, Time  0.440268
2021-09-27 13:36:57.753097 : Epoch  7, Batch     96, Loss  1.180430, Average Loss  1.195200, Time  0.442404
2021-09-27 13:37:03.662930 : Epoch  7, Batch     97, Loss  1.202946, Average Loss  1.195231, Time  0.438970
2021-09-27 13:37:09.563312 : Epoch  7, Batch     98, Loss  1.203431, Average Loss  1.195333, Time  0.439491
2021-09-27 13:37:15.511558 : Epoch  7, Batch     99, Loss  1.197856, Average Loss  1.195410, Time  0.440398
2021-09-27 13:37:21.448995 : Epoch  7, Batch    100, Loss  1.204829, Average Loss  1.195519, Time  0.454932
2021-09-27 13:37:27.371868 : Epoch  7, Batch    101, Loss  1.179392, Average Loss  1.195513, Time  0.439314
2021-09-27 13:37:33.287071 : Epoch  7, Batch    102, Loss  1.175242, Average Loss  1.195265, Time  0.442948
2021-09-27 13:37:39.193108 : Epoch  7, Batch    103, Loss  1.201176, Average Loss  1.195284, Time  0.443500
2021-09-27 13:37:45.109723 : Epoch  7, Batch    104, Loss  1.199028, Average Loss  1.195239, Time  0.440897
2021-09-27 13:37:51.023098 : Epoch  7, Batch    105, Loss  1.202179, Average Loss  1.195235, Time  0.439682
2021-09-27 13:37:56.922762 : Epoch  7, Batch    106, Loss  1.201159, Average Loss  1.195260, Time  0.439493
2021-09-27 13:38:02.840778 : Epoch  7, Batch    107, Loss  1.221518, Average Loss  1.195392, Time  0.439458
2021-09-27 13:38:08.768262 : Epoch  7, Batch    108, Loss  1.194502, Average Loss  1.195354, Time  0.453089
2021-09-27 13:38:14.678224 : Epoch  7, Batch    109, Loss  1.204125, Average Loss  1.195402, Time  0.441088
2021-09-27 13:38:20.608778 : Epoch  7, Batch    110, Loss  1.182369, Average Loss  1.195344, Time  0.439935
2021-09-27 13:38:26.539849 : Epoch  7, Batch    111, Loss  1.206570, Average Loss  1.195475, Time  0.439772
2021-09-27 13:38:32.463787 : Epoch  7, Batch    112, Loss  1.189310, Average Loss  1.195418, Time  0.440227
2021-09-27 13:38:38.389529 : Epoch  7, Batch    113, Loss  1.186278, Average Loss  1.195346, Time  0.439988
2021-09-27 13:38:44.308311 : Epoch  7, Batch    114, Loss  1.200060, Average Loss  1.195387, Time  0.439878
2021-09-27 13:38:50.223736 : Epoch  7, Batch    115, Loss  1.191282, Average Loss  1.195391, Time  0.438628
2021-09-27 13:38:56.156625 : Epoch  7, Batch    116, Loss  1.187806, Average Loss  1.195325, Time  0.452722
2021-09-27 13:39:02.070000 : Epoch  7, Batch    117, Loss  1.188505, Average Loss  1.195362, Time  0.442080
2021-09-27 13:39:07.987241 : Epoch  7, Batch    118, Loss  1.197545, Average Loss  1.195408, Time  0.441082
2021-09-27 13:39:13.918362 : Epoch  7, Batch    119, Loss  1.191885, Average Loss  1.195306, Time  0.441330
2021-09-27 13:39:19.832542 : Epoch  7, Batch    120, Loss  1.196620, Average Loss  1.195267, Time  0.439526
2021-09-27 13:39:25.734817 : Epoch  7, Batch    121, Loss  1.196765, Average Loss  1.195159, Time  0.440147
2021-09-27 13:39:31.642938 : Epoch  7, Batch    122, Loss  1.198565, Average Loss  1.195185, Time  0.441616
2021-09-27 13:39:37.563751 : Epoch  7, Batch    123, Loss  1.209146, Average Loss  1.195356, Time  0.440969
2021-09-27 13:39:43.485801 : Epoch  7, Batch    124, Loss  1.195934, Average Loss  1.195322, Time  0.458073
2021-09-27 13:39:49.401819 : Epoch  7, Batch    125, Loss  1.182765, Average Loss  1.195260, Time  0.439559
2021-09-27 13:39:55.322377 : Epoch  7, Batch    126, Loss  1.217760, Average Loss  1.195362, Time  0.440655
2021-09-27 13:40:01.233902 : Epoch  7, Batch    127, Loss  1.202179, Average Loss  1.195368, Time  0.441262
2021-09-27 13:40:07.160763 : Epoch  7, Batch    128, Loss  1.201890, Average Loss  1.195400, Time  0.441850
2021-09-27 13:40:13.073484 : Epoch  7, Batch    129, Loss  1.203807, Average Loss  1.195412, Time  0.440207
2021-09-27 13:40:18.988951 : Epoch  7, Batch    130, Loss  1.185675, Average Loss  1.195433, Time  0.438846
2021-09-27 13:40:24.915728 : Epoch  7, Batch    131, Loss  1.194420, Average Loss  1.195474, Time  0.455034
2021-09-27 13:40:30.838870 : Epoch  7, Batch    132, Loss  1.184798, Average Loss  1.195427, Time  0.438662
2021-09-27 13:45:07.663407 : CheckPoint: Validation Loss  0.00020427, Best Loss  0.00020384
2021-09-27 13:45:13.554550 : Epoch  7, Batch    133, Loss  1.191217, Average Loss  1.195438, Time  0.441172
2021-09-27 13:45:19.456452 : Epoch  7, Batch    134, Loss  1.194269, Average Loss  1.195433, Time  0.440658
2021-09-27 13:45:25.368960 : Epoch  7, Batch    135, Loss  1.203391, Average Loss  1.195512, Time  0.440392
2021-09-27 13:45:31.281655 : Epoch  7, Batch    136, Loss  1.184642, Average Loss  1.195512, Time  0.440350
2021-09-27 13:45:37.200491 : Epoch  7, Batch    137, Loss  1.204121, Average Loss  1.195658, Time  0.440881
2021-09-27 13:45:43.109989 : Epoch  7, Batch    138, Loss  1.189160, Average Loss  1.195560, Time  0.441337
2021-09-27 13:45:49.026858 : Epoch  7, Batch    139, Loss  1.197301, Average Loss  1.195585, Time  0.451490
2021-09-27 13:45:54.958122 : Epoch  7, Batch    140, Loss  1.196334, Average Loss  1.195584, Time  0.443237
2021-09-27 13:46:00.875711 : Epoch  7, Batch    141, Loss  1.186080, Average Loss  1.195603, Time  0.439353
2021-09-27 13:46:06.771197 : Epoch  7, Batch    142, Loss  1.192874, Average Loss  1.195528, Time  0.439508
2021-09-27 13:46:12.658927 : Epoch  7, Batch    143, Loss  1.192729, Average Loss  1.195528, Time  0.440722
2021-09-27 13:46:18.566827 : Epoch  7, Batch    144, Loss  1.191219, Average Loss  1.195500, Time  0.440310
2021-09-27 13:46:24.475282 : Epoch  7, Batch    145, Loss  1.179311, Average Loss  1.195318, Time  0.439713
2021-09-27 13:46:30.392762 : Epoch  7, Batch    146, Loss  1.204062, Average Loss  1.195305, Time  0.439528
2021-09-27 13:46:36.314459 : Epoch  7, Batch    147, Loss  1.193281, Average Loss  1.195342, Time  0.451698
2021-09-27 13:46:42.222101 : Epoch  7, Batch    148, Loss  1.202015, Average Loss  1.195380, Time  0.440075
2021-09-27 13:46:48.127873 : Epoch  7, Batch    149, Loss  1.183607, Average Loss  1.195341, Time  0.440010
2021-09-27 13:46:54.032188 : Epoch  7, Batch    150, Loss  1.180206, Average Loss  1.195233, Time  0.439440
2021-09-27 13:46:59.939494 : Epoch  7, Batch    151, Loss  1.189186, Average Loss  1.195279, Time  0.438428
2021-09-27 13:47:05.856206 : Epoch  7, Batch    152, Loss  1.211393, Average Loss  1.195297, Time  0.439524
2021-09-27 13:47:11.759650 : Epoch  7, Batch    153, Loss  1.192616, Average Loss  1.195243, Time  0.439684
2021-09-27 13:47:17.672813 : Epoch  7, Batch    154, Loss  1.182298, Average Loss  1.195086, Time  0.438622
2021-09-27 13:47:23.591390 : Epoch  7, Batch    155, Loss  1.202958, Average Loss  1.195052, Time  0.452288
2021-09-27 13:47:29.501325 : Epoch  7, Batch    156, Loss  1.208500, Average Loss  1.195122, Time  0.445111
2021-09-27 13:47:35.412477 : Epoch  7, Batch    157, Loss  1.202047, Average Loss  1.195128, Time  0.440103
2021-09-27 13:47:41.318760 : Epoch  7, Batch    158, Loss  1.200934, Average Loss  1.195135, Time  0.439401
2021-09-27 13:47:47.218694 : Epoch  7, Batch    159, Loss  1.200942, Average Loss  1.195280, Time  0.439295
2021-09-27 13:47:53.137269 : Epoch  7, Batch    160, Loss  1.193729, Average Loss  1.195253, Time  0.439536
2021-09-27 13:47:59.042277 : Epoch  7, Batch    161, Loss  1.183558, Average Loss  1.195309, Time  0.438703
2021-09-27 13:48:04.952603 : Epoch  7, Batch    162, Loss  1.201542, Average Loss  1.195258, Time  0.439910
2021-09-27 13:48:10.882748 : Epoch  7, Batch    163, Loss  1.189515, Average Loss  1.195264, Time  0.454015
2021-09-27 13:48:16.789785 : Epoch  7, Batch    164, Loss  1.179112, Average Loss  1.195204, Time  0.438595
2021-09-27 13:48:22.691384 : Epoch  7, Batch    165, Loss  1.209818, Average Loss  1.195312, Time  0.439535
2021-09-27 13:48:28.606707 : Epoch  7, Batch    166, Loss  1.179124, Average Loss  1.195104, Time  0.441734
2021-09-27 13:48:34.518932 : Epoch  7, Batch    167, Loss  1.211004, Average Loss  1.195328, Time  0.439846
2021-09-27 13:48:40.432161 : Epoch  7, Batch    168, Loss  1.207592, Average Loss  1.195375, Time  0.440793
2021-09-27 13:48:46.338581 : Epoch  7, Batch    169, Loss  1.195237, Average Loss  1.195314, Time  0.438666
2021-09-27 13:48:52.241793 : Epoch  7, Batch    170, Loss  1.190843, Average Loss  1.195353, Time  0.439061
2021-09-27 13:48:58.169742 : Epoch  7, Batch    171, Loss  1.193996, Average Loss  1.195338, Time  0.452657
2021-09-27 13:49:04.074060 : Epoch  7, Batch    172, Loss  1.206787, Average Loss  1.195405, Time  0.439682
2021-09-27 13:49:09.972771 : Epoch  7, Batch    173, Loss  1.192823, Average Loss  1.195372, Time  0.438701
2021-09-27 13:49:15.864645 : Epoch  7, Batch    174, Loss  1.190376, Average Loss  1.195244, Time  0.440534
2021-09-27 13:49:21.573046 : Epoch  7, Batch    175, Loss  1.199445, Average Loss  1.195365, Time  0.438789
2021-09-27 13:49:26.860741 : Epoch  7, Batch    176, Loss  1.194698, Average Loss  1.195399, Time  0.435477
2021-09-27 13:49:32.232032 : Epoch  7, Batch    177, Loss  1.190245, Average Loss  1.195381, Time  0.435663
2021-09-27 13:49:37.500981 : Epoch  7, Batch    178, Loss  1.190333, Average Loss  1.195327, Time  0.434738
2021-09-27 13:49:42.979467 : Epoch  7, Batch    179, Loss  1.209225, Average Loss  1.195345, Time  0.449455
2021-09-27 13:49:48.254376 : Epoch  7, Batch    180, Loss  1.201159, Average Loss  1.195330, Time  0.435959
2021-09-27 13:49:53.714689 : Epoch  7, Batch    181, Loss  1.200058, Average Loss  1.195435, Time  0.435667
2021-09-27 13:49:59.073410 : Epoch  7, Batch    182, Loss  1.199475, Average Loss  1.195428, Time  0.434723
2021-09-27 13:50:04.345355 : Epoch  7, Batch    183, Loss  1.207240, Average Loss  1.195562, Time  0.435783
2021-09-27 13:50:09.615055 : Epoch  7, Batch    184, Loss  1.196759, Average Loss  1.195642, Time  0.434994
2021-09-27 13:50:14.904652 : Epoch  7, Batch    185, Loss  1.197810, Average Loss  1.195586, Time  0.437282
2021-09-27 13:50:20.188459 : Epoch  7, Batch    186, Loss  1.197877, Average Loss  1.195588, Time  0.435052
2021-09-27 13:50:25.456451 : Epoch  7, Batch    187, Loss  1.182337, Average Loss  1.195480, Time  0.436151
2021-09-27 13:50:30.750168 : Epoch  7, Batch    188, Loss  1.200262, Average Loss  1.195457, Time  0.448437
2021-09-27 13:50:36.000955 : Epoch  7, Batch    189, Loss  1.205452, Average Loss  1.195494, Time  0.435092
2021-09-27 13:50:41.291069 : Epoch  7, Batch    190, Loss  1.184373, Average Loss  1.195376, Time  0.435211
2021-09-27 13:50:46.611553 : Epoch  7, Batch    191, Loss  1.193845, Average Loss  1.195379, Time  0.435333
2021-09-27 13:50:51.902243 : Epoch  7, Batch    192, Loss  1.188611, Average Loss  1.195341, Time  0.434837
2021-09-27 13:50:57.251616 : Epoch  7, Batch    193, Loss  1.187130, Average Loss  1.195388, Time  0.434739
2021-09-27 13:51:02.534270 : Epoch  7, Batch    194, Loss  1.192527, Average Loss  1.195375, Time  0.435083
2021-09-27 13:51:07.920523 : Epoch  7, Batch    195, Loss  1.201334, Average Loss  1.195426, Time  0.437231
2021-09-27 13:51:13.228106 : Epoch  7, Batch    196, Loss  1.191395, Average Loss  1.195353, Time  0.435497
2021-09-27 13:51:18.522412 : Epoch  7, Batch    197, Loss  1.191176, Average Loss  1.195304, Time  0.450067
2021-09-27 13:51:23.779442 : Epoch  7, Batch    198, Loss  1.174283, Average Loss  1.195193, Time  0.436536
2021-09-27 13:51:29.038990 : Epoch  7, Batch    199, Loss  1.192040, Average Loss  1.195192, Time  0.436130
2021-09-27 13:51:34.319481 : Epoch  7, Batch    200, Loss  1.197849, Average Loss  1.195241, Time  0.436359
2021-09-27 13:51:39.574182 : Epoch  7, Batch    201, Loss  1.196454, Average Loss  1.195271, Time  0.435225
2021-09-27 13:51:44.869361 : Epoch  7, Batch    202, Loss  1.202729, Average Loss  1.195421, Time  0.435339
2021-09-27 13:51:50.119553 : Epoch  7, Batch    203, Loss  1.201992, Average Loss  1.195542, Time  0.435567
2021-09-27 13:51:55.372962 : Epoch  7, Batch    204, Loss  1.174389, Average Loss  1.195365, Time  0.435316
2021-09-27 13:52:00.639389 : Epoch  7, Batch    205, Loss  1.197523, Average Loss  1.195454, Time  0.435174
2021-09-27 13:52:05.949092 : Epoch  7, Batch    206, Loss  1.207365, Average Loss  1.195495, Time  0.452036
2021-09-27 13:52:11.221276 : Epoch  7, Batch    207, Loss  1.192108, Average Loss  1.195541, Time  0.437586
2021-09-27 13:52:16.637179 : Epoch  7, Batch    208, Loss  1.192631, Average Loss  1.195517, Time  0.437058
2021-09-27 13:52:21.983884 : Epoch  7, Batch    209, Loss  1.203255, Average Loss  1.195572, Time  0.435296
2021-09-27 13:52:27.281861 : Epoch  7, Batch    210, Loss  1.196418, Average Loss  1.195629, Time  0.436214
2021-09-27 13:52:32.570437 : Epoch  7, Batch    211, Loss  1.196316, Average Loss  1.195585, Time  0.435318
2021-09-27 13:52:37.838118 : Epoch  7, Batch    212, Loss  1.191033, Average Loss  1.195605, Time  0.436511
2021-09-27 13:52:43.127037 : Epoch  7, Batch    213, Loss  1.200470, Average Loss  1.195687, Time  0.435581
2021-09-27 13:52:48.411355 : Epoch  7, Batch    214, Loss  1.185093, Average Loss  1.195561, Time  0.436032
2021-09-27 13:52:53.676084 : Epoch  7, Batch    215, Loss  1.210516, Average Loss  1.195639, Time  0.446475
2021-09-27 13:52:58.970324 : Epoch  7, Batch    216, Loss  1.203497, Average Loss  1.195687, Time  0.434728
2021-09-27 13:53:04.229971 : Epoch  7, Batch    217, Loss  1.184090, Average Loss  1.195686, Time  0.435090
2021-09-27 13:53:09.515376 : Epoch  7, Batch    218, Loss  1.199701, Average Loss  1.195656, Time  0.435044
2021-09-27 13:53:14.801813 : Epoch  7, Batch    219, Loss  1.217026, Average Loss  1.195695, Time  0.437615
2021-09-27 13:53:20.044874 : Epoch  7, Batch    220, Loss  1.202290, Average Loss  1.195737, Time  0.435373
2021-09-27 13:53:25.312367 : Epoch  7, Batch    221, Loss  1.199133, Average Loss  1.195699, Time  0.435293
2021-09-27 13:53:30.594555 : Epoch  7, Batch    222, Loss  1.192837, Average Loss  1.195771, Time  0.435544
2021-09-27 13:53:35.851736 : Epoch  7, Batch    223, Loss  1.197522, Average Loss  1.195792, Time  0.434954
2021-09-27 13:53:41.161620 : Epoch  7, Batch    224, Loss  1.187484, Average Loss  1.195692, Time  0.444198
2021-09-27 13:53:46.526829 : Epoch  7, Batch    225, Loss  1.198050, Average Loss  1.195675, Time  0.435892
2021-09-27 13:53:51.826647 : Epoch  7, Batch    226, Loss  1.201172, Average Loss  1.195695, Time  0.436559
2021-09-27 13:53:57.372628 : Epoch  7, Batch    227, Loss  1.175713, Average Loss  1.195644, Time  0.438368
2021-09-27 13:54:03.033019 : Epoch  7, Batch    228, Loss  1.199161, Average Loss  1.195654, Time  0.438286
2021-09-27 13:54:08.686338 : Epoch  7, Batch    229, Loss  1.196720, Average Loss  1.195626, Time  0.439086
2021-09-27 13:54:14.397171 : Epoch  7, Batch    230, Loss  1.188178, Average Loss  1.195543, Time  0.438958
2021-09-27 13:54:20.091990 : Epoch  7, Batch    231, Loss  1.214278, Average Loss  1.195680, Time  0.438074
2021-09-27 13:54:25.565289 : Epoch  7, Batch    232, Loss  1.181058, Average Loss  1.195592, Time  0.438093
2021-09-27 13:58:46.506488 : CheckPoint: Validation Loss  0.00021369, Best Loss  0.00020384
2021-09-27 13:58:52.176765 : Epoch  7, Batch    233, Loss  1.207632, Average Loss  1.195715, Time  0.438044
2021-09-27 13:58:57.657502 : Epoch  7, Batch    234, Loss  1.194482, Average Loss  1.195787, Time  0.437993
2021-09-27 13:59:03.320742 : Epoch  7, Batch    235, Loss  1.193214, Average Loss  1.195795, Time  0.438054
2021-09-27 13:59:08.972956 : Epoch  7, Batch    236, Loss  1.193280, Average Loss  1.195807, Time  0.438147
2021-09-27 13:59:14.703125 : Epoch  7, Batch    237, Loss  1.203524, Average Loss  1.195729, Time  0.451601
2021-09-27 13:59:20.425010 : Epoch  7, Batch    238, Loss  1.192371, Average Loss  1.195644, Time  0.439088
2021-09-27 13:59:26.087639 : Epoch  7, Batch    239, Loss  1.206146, Average Loss  1.195707, Time  0.438406
2021-09-27 13:59:31.720483 : Epoch  7, Batch    240, Loss  1.190660, Average Loss  1.195696, Time  0.437180
2021-09-27 13:59:37.371011 : Epoch  7, Batch    241, Loss  1.186504, Average Loss  1.195690, Time  0.439526
2021-09-27 13:59:42.833106 : Epoch  7, Batch    242, Loss  1.202015, Average Loss  1.195717, Time  0.438283
2021-09-27 13:59:48.356497 : Epoch  7, Batch    243, Loss  1.205628, Average Loss  1.195734, Time  0.439605
2021-09-27 13:59:53.920036 : Epoch  7, Batch    244, Loss  1.202405, Average Loss  1.195690, Time  0.438992
2021-09-27 13:59:59.586615 : Epoch  7, Batch    245, Loss  1.175415, Average Loss  1.195620, Time  0.454066
2021-09-27 14:00:05.204771 : Epoch  7, Batch    246, Loss  1.183109, Average Loss  1.195567, Time  0.438243
2021-09-27 14:00:10.826879 : Epoch  7, Batch    247, Loss  1.194468, Average Loss  1.195597, Time  0.436661
2021-09-27 14:00:16.396477 : Epoch  7, Batch    248, Loss  1.207677, Average Loss  1.195585, Time  0.438885
2021-09-27 14:00:21.718414 : Epoch  7, Batch    249, Loss  1.179887, Average Loss  1.195552, Time  0.436685
2021-09-27 14:00:27.167652 : Epoch  7, Batch    250, Loss  1.195137, Average Loss  1.195608, Time  0.437146
2021-09-27 14:00:32.717464 : Epoch  7, Batch    251, Loss  1.194177, Average Loss  1.195632, Time  0.438680
2021-09-27 14:00:38.346530 : Epoch  7, Batch    252, Loss  1.188093, Average Loss  1.195605, Time  0.438693
2021-09-27 14:00:43.828784 : Epoch  7, Batch    253, Loss  1.197150, Average Loss  1.195612, Time  0.437596
2021-09-27 14:00:49.331731 : Epoch  7, Batch    254, Loss  1.203026, Average Loss  1.195686, Time  0.449377
2021-09-27 14:00:54.986712 : Epoch  7, Batch    255, Loss  1.198391, Average Loss  1.195695, Time  0.439429
2021-09-27 14:01:00.641984 : Epoch  7, Batch    256, Loss  1.171782, Average Loss  1.195592, Time  0.439461
2021-09-27 14:01:06.305128 : Epoch  7, Batch    257, Loss  1.183009, Average Loss  1.195597, Time  0.439215
2021-09-27 14:01:11.991988 : Epoch  7, Batch    258, Loss  1.188599, Average Loss  1.195604, Time  0.438507
2021-09-27 14:01:17.504018 : Epoch  7, Batch    259, Loss  1.197949, Average Loss  1.195676, Time  0.436236
2021-09-27 14:01:23.108463 : Epoch  7, Batch    260, Loss  1.179361, Average Loss  1.195525, Time  0.439344
2021-09-27 14:01:28.687211 : Epoch  7, Batch    261, Loss  1.183718, Average Loss  1.195421, Time  0.438736
2021-09-27 14:01:34.368658 : Epoch  7, Batch    262, Loss  1.179795, Average Loss  1.195308, Time  0.452019
2021-09-27 14:01:39.975214 : Epoch  7, Batch    263, Loss  1.201571, Average Loss  1.195309, Time  0.437928
2021-09-27 14:01:45.546850 : Epoch  7, Batch    264, Loss  1.191561, Average Loss  1.195275, Time  0.437297
2021-09-27 14:01:51.094732 : Epoch  7, Batch    265, Loss  1.183939, Average Loss  1.195234, Time  0.437467
2021-09-27 14:01:56.773945 : Epoch  7, Batch    266, Loss  1.200589, Average Loss  1.195158, Time  0.438930
2021-09-27 14:02:02.419909 : Epoch  7, Batch    267, Loss  1.181857, Average Loss  1.195036, Time  0.435674
2021-09-27 14:02:07.892718 : Epoch  7, Batch    268, Loss  1.179337, Average Loss  1.194919, Time  0.435698
2021-09-27 14:02:13.385300 : Epoch  7, Batch    269, Loss  1.188652, Average Loss  1.194878, Time  0.439556
2021-09-27 14:02:18.926847 : Epoch  7, Batch    270, Loss  1.188234, Average Loss  1.194884, Time  0.437783
2021-09-27 14:02:24.413831 : Epoch  7, Batch    271, Loss  1.206029, Average Loss  1.194908, Time  0.449610
2021-09-27 14:02:30.045824 : Epoch  7, Batch    272, Loss  1.178186, Average Loss  1.194764, Time  0.437796
2021-09-27 14:02:35.620845 : Epoch  7, Batch    273, Loss  1.197039, Average Loss  1.194735, Time  0.436972
2021-09-27 14:02:41.111401 : Epoch  7, Batch    274, Loss  1.190895, Average Loss  1.194778, Time  0.438985
2021-09-27 14:02:46.539262 : Epoch  7, Batch    275, Loss  1.195392, Average Loss  1.194786, Time  0.439464
2021-09-27 14:02:52.007884 : Epoch  7, Batch    276, Loss  1.201019, Average Loss  1.194891, Time  0.437113
2021-09-27 14:02:57.560983 : Epoch  7, Batch    277, Loss  1.194916, Average Loss  1.194890, Time  0.438697
2021-09-27 14:03:03.154841 : Epoch  7, Batch    278, Loss  1.176355, Average Loss  1.194788, Time  0.438640
2021-09-27 14:03:08.656560 : Epoch  7, Batch    279, Loss  1.191539, Average Loss  1.194749, Time  0.436268
2021-09-27 14:03:14.154177 : Epoch  7, Batch    280, Loss  1.189758, Average Loss  1.194747, Time  0.450286
2021-09-27 14:03:19.682638 : Epoch  7, Batch    281, Loss  1.193303, Average Loss  1.194761, Time  0.439145
2021-09-27 14:03:25.387214 : Epoch  7, Batch    282, Loss  1.185210, Average Loss  1.194656, Time  0.439391
2021-09-27 14:03:31.076963 : Epoch  7, Batch    283, Loss  1.200890, Average Loss  1.194702, Time  0.438841
2021-09-27 14:03:36.768848 : Epoch  7, Batch    284, Loss  1.189096, Average Loss  1.194702, Time  0.438004
2021-09-27 14:03:42.308997 : Epoch  7, Batch    285, Loss  1.199300, Average Loss  1.194739, Time  0.437827
2021-09-27 14:03:47.856766 : Epoch  7, Batch    286, Loss  1.208375, Average Loss  1.194765, Time  0.439407
2021-09-27 14:03:53.506742 : Epoch  7, Batch    287, Loss  1.198094, Average Loss  1.194769, Time  0.438385
2021-09-27 14:03:58.961862 : Epoch  7, Batch    288, Loss  1.192991, Average Loss  1.194720, Time  0.439568
2021-09-27 14:04:04.623657 : Epoch  7, Batch    289, Loss  1.176931, Average Loss  1.194654, Time  0.452073
2021-09-27 14:04:10.263340 : Epoch  7, Batch    290, Loss  1.202120, Average Loss  1.194735, Time  0.439562
2021-09-27 14:04:15.676133 : Epoch  7, Batch    291, Loss  1.194481, Average Loss  1.194745, Time  0.438339
2021-09-27 14:04:21.144261 : Epoch  7, Batch    292, Loss  1.184618, Average Loss  1.194710, Time  0.439582
2021-09-27 14:04:26.702136 : Epoch  7, Batch    293, Loss  1.184541, Average Loss  1.194584, Time  0.437731
2021-09-27 14:04:32.313882 : Epoch  7, Batch    294, Loss  1.202950, Average Loss  1.194639, Time  0.437843
2021-09-27 14:04:37.969193 : Epoch  7, Batch    295, Loss  1.185680, Average Loss  1.194543, Time  0.439118
2021-09-27 14:04:43.643183 : Epoch  7, Batch    296, Loss  1.190513, Average Loss  1.194594, Time  0.438076
2021-09-27 14:04:49.335543 : Epoch  7, Batch    297, Loss  1.196116, Average Loss  1.194560, Time  0.446683
2021-09-27 14:04:55.007559 : Epoch  7, Batch    298, Loss  1.199363, Average Loss  1.194539, Time  0.438943
2021-09-27 14:05:00.436703 : Epoch  7, Batch    299, Loss  1.180209, Average Loss  1.194451, Time  0.436063
2021-09-27 14:05:05.822146 : Epoch  7, Batch    300, Loss  1.182316, Average Loss  1.194339, Time  0.439385
2021-09-27 14:05:11.249456 : Epoch  7, Batch    301, Loss  1.189255, Average Loss  1.194388, Time  0.436556
2021-09-27 14:05:16.739007 : Epoch  7, Batch    302, Loss  1.198833, Average Loss  1.194506, Time  0.437159
2021-09-27 14:05:22.297728 : Epoch  7, Batch    303, Loss  1.208441, Average Loss  1.194542, Time  0.438693
2021-09-27 14:05:27.955563 : Epoch  7, Batch    304, Loss  1.163650, Average Loss  1.194365, Time  0.439219
2021-09-27 14:05:33.511884 : Epoch  7, Batch    305, Loss  1.200861, Average Loss  1.194359, Time  0.438670
2021-09-27 14:05:39.104405 : Epoch  7, Batch    306, Loss  1.189634, Average Loss  1.194301, Time  0.450135
2021-09-27 14:05:44.619838 : Epoch  7, Batch    307, Loss  1.197627, Average Loss  1.194182, Time  0.438132
2021-09-27 14:05:50.165665 : Epoch  7, Batch    308, Loss  1.190420, Average Loss  1.194161, Time  0.438620
2021-09-27 14:05:55.658144 : Epoch  7, Batch    309, Loss  1.195516, Average Loss  1.194118, Time  0.437457
2021-09-27 14:06:01.084619 : Epoch  7, Batch    310, Loss  1.175671, Average Loss  1.194085, Time  0.436523
2021-09-27 14:06:06.650286 : Epoch  7, Batch    311, Loss  1.199365, Average Loss  1.194049, Time  0.439577
2021-09-27 14:06:12.304055 : Epoch  7, Batch    312, Loss  1.207025, Average Loss  1.194137, Time  0.436949
2021-09-27 14:06:17.827051 : Epoch  7, Batch    313, Loss  1.185436, Average Loss  1.194133, Time  0.439395
2021-09-27 14:06:23.409735 : Epoch  7, Batch    314, Loss  1.182797, Average Loss  1.194047, Time  0.449238
2021-09-27 14:06:28.919290 : Epoch  7, Batch    315, Loss  1.189387, Average Loss  1.194037, Time  0.439625
2021-09-27 14:06:34.521008 : Epoch  7, Batch    316, Loss  1.175990, Average Loss  1.193978, Time  0.437135
2021-09-27 14:06:40.077127 : Epoch  7, Batch    317, Loss  1.196580, Average Loss  1.194018, Time  0.440280
2021-09-27 14:06:45.752819 : Epoch  7, Batch    318, Loss  1.193433, Average Loss  1.193998, Time  0.439974
2021-09-27 14:06:51.442026 : Epoch  7, Batch    319, Loss  1.193153, Average Loss  1.194004, Time  0.439488
2021-09-27 14:06:56.975852 : Epoch  7, Batch    320, Loss  1.199267, Average Loss  1.194018, Time  0.440032
2021-09-27 14:07:02.624312 : Epoch  7, Batch    321, Loss  1.192653, Average Loss  1.193997, Time  0.439514
2021-09-27 14:07:08.281687 : Epoch  7, Batch    322, Loss  1.197549, Average Loss  1.193992, Time  0.454704
2021-09-27 14:07:13.814177 : Epoch  7, Batch    323, Loss  1.200642, Average Loss  1.193949, Time  0.437043
2021-09-27 14:07:19.259787 : Epoch  7, Batch    324, Loss  1.180538, Average Loss  1.193872, Time  0.437207
2021-09-27 14:07:24.792721 : Epoch  7, Batch    325, Loss  1.193366, Average Loss  1.193925, Time  0.436120
2021-09-27 14:07:30.140976 : Epoch  7, Batch    326, Loss  1.205782, Average Loss  1.193865, Time  0.437200
2021-09-27 14:07:35.755491 : Epoch  7, Batch    327, Loss  1.179008, Average Loss  1.193750, Time  0.439132
2021-09-27 14:07:41.300401 : Epoch  7, Batch    328, Loss  1.200536, Average Loss  1.193743, Time  0.438513
2021-09-27 14:07:46.886101 : Epoch  7, Batch    329, Loss  1.192452, Average Loss  1.193686, Time  0.437046
2021-09-27 14:07:52.443128 : Epoch  7, Batch    330, Loss  1.195200, Average Loss  1.193734, Time  0.438467
2021-09-27 14:07:58.042539 : Epoch  7, Batch    331, Loss  1.182968, Average Loss  1.193676, Time  0.447355
2021-09-27 14:08:03.483873 : Epoch  7, Batch    332, Loss  1.192796, Average Loss  1.193716, Time  0.436957
2021-09-27 14:12:24.868865 : CheckPoint: Validation Loss  0.00020664, Best Loss  0.00020384
2021-09-27 14:12:30.415596 : Epoch  7, Batch    333, Loss  1.214027, Average Loss  1.193831, Time  0.439057
2021-09-27 14:12:36.072358 : Epoch  7, Batch    334, Loss  1.195305, Average Loss  1.193836, Time  0.438699
2021-09-27 14:12:41.742580 : Epoch  7, Batch    335, Loss  1.206522, Average Loss  1.193851, Time  0.449466
2021-09-27 14:12:47.409547 : Epoch  7, Batch    336, Loss  1.193026, Average Loss  1.193893, Time  0.437835
2021-09-27 14:12:53.026672 : Epoch  7, Batch    337, Loss  1.193276, Average Loss  1.193839, Time  0.438548
2021-09-27 14:12:58.676436 : Epoch  7, Batch    338, Loss  1.196138, Average Loss  1.193874, Time  0.438530
2021-09-27 14:13:04.299636 : Epoch  7, Batch    339, Loss  1.201037, Average Loss  1.193893, Time  0.437898
2021-09-27 14:13:09.810855 : Epoch  7, Batch    340, Loss  1.204105, Average Loss  1.193931, Time  0.436638
2021-09-27 14:13:15.369563 : Epoch  7, Batch    341, Loss  1.196829, Average Loss  1.193985, Time  0.438600
2021-09-27 14:13:20.953502 : Epoch  7, Batch    342, Loss  1.197543, Average Loss  1.194009, Time  0.439315
2021-09-27 14:13:26.645112 : Epoch  7, Batch    343, Loss  1.188884, Average Loss  1.193989, Time  0.453404
2021-09-27 14:13:32.207590 : Epoch  7, Batch    344, Loss  1.166166, Average Loss  1.193864, Time  0.438456
2021-09-27 14:13:37.840543 : Epoch  7, Batch    345, Loss  1.184994, Average Loss  1.193892, Time  0.439126
2021-09-27 14:13:43.443860 : Epoch  7, Batch    346, Loss  1.202222, Average Loss  1.193883, Time  0.438266
2021-09-27 14:13:49.045487 : Epoch  7, Batch    347, Loss  1.189949, Average Loss  1.193867, Time  0.438824
2021-09-27 14:13:54.466863 : Epoch  7, Batch    348, Loss  1.174810, Average Loss  1.193731, Time  0.436703
2021-09-27 14:14:00.016775 : Epoch  7, Batch    349, Loss  1.204556, Average Loss  1.193835, Time  0.439470
2021-09-27 14:14:05.664837 : Epoch  7, Batch    350, Loss  1.182019, Average Loss  1.193844, Time  0.437873
2021-09-27 14:14:11.143253 : Epoch  7, Batch    351, Loss  1.202740, Average Loss  1.193912, Time  0.451052
2021-09-27 14:14:16.707115 : Epoch  7, Batch    352, Loss  1.195478, Average Loss  1.193833, Time  0.437642
2021-09-27 14:14:22.426277 : Epoch  7, Batch    353, Loss  1.184728, Average Loss  1.193793, Time  0.438664
2021-09-27 14:14:28.321060 : Epoch  7, Batch    354, Loss  1.185251, Average Loss  1.193808, Time  0.439855
2021-09-27 14:14:34.208628 : Epoch  7, Batch    355, Loss  1.208546, Average Loss  1.193836, Time  0.438900
2021-09-27 14:14:40.093953 : Epoch  7, Batch    356, Loss  1.205967, Average Loss  1.193823, Time  0.438581
2021-09-27 14:14:45.987846 : Epoch  7, Batch    357, Loss  1.188409, Average Loss  1.193755, Time  0.438976
2021-09-27 14:14:51.875607 : Epoch  7, Batch    358, Loss  1.196151, Average Loss  1.193731, Time  0.441416
2021-09-27 14:14:57.782631 : Epoch  7, Batch    359, Loss  1.203074, Average Loss  1.193742, Time  0.451025
2021-09-27 14:15:03.663890 : Epoch  7, Batch    360, Loss  1.185363, Average Loss  1.193700, Time  0.438429
2021-09-27 14:15:09.220803 : Epoch  7, Batch    361, Loss  1.192054, Average Loss  1.193742, Time  0.435126
2021-09-27 14:15:14.447435 : Epoch  7, Batch    362, Loss  1.200759, Average Loss  1.193738, Time  0.436131
2021-09-27 14:15:19.847861 : Epoch  7, Batch    363, Loss  1.186077, Average Loss  1.193721, Time  0.438380
2021-09-27 14:15:25.361639 : Epoch  7, Batch    364, Loss  1.199892, Average Loss  1.193825, Time  0.435599
2021-09-27 14:15:30.611118 : Epoch  7, Batch    365, Loss  1.190539, Average Loss  1.193729, Time  0.435711
2021-09-27 14:15:35.844504 : Epoch  7, Batch    366, Loss  1.227526, Average Loss  1.193971, Time  0.436352
2021-09-27 14:15:41.101206 : Epoch  7, Batch    367, Loss  1.187556, Average Loss  1.193854, Time  0.435334
2021-09-27 14:15:46.394549 : Epoch  7, Batch    368, Loss  1.205771, Average Loss  1.193844, Time  0.449835
2021-09-27 14:15:51.743182 : Epoch  7, Batch    369, Loss  1.188179, Average Loss  1.193809, Time  0.435436
2021-09-27 14:15:57.050812 : Epoch  7, Batch    370, Loss  1.184493, Average Loss  1.193777, Time  0.435624
2021-09-27 14:16:02.309793 : Epoch  7, Batch    371, Loss  1.186705, Average Loss  1.193741, Time  0.434734
2021-09-27 14:16:07.576728 : Epoch  7, Batch    372, Loss  1.178196, Average Loss  1.193598, Time  0.435245
2021-09-27 14:16:12.860952 : Epoch  7, Batch    373, Loss  1.192615, Average Loss  1.193597, Time  0.435782
2021-09-27 14:16:18.165690 : Epoch  7, Batch    374, Loss  1.174912, Average Loss  1.193520, Time  0.436168
2021-09-27 14:16:23.462821 : Epoch  7, Batch    375, Loss  1.192797, Average Loss  1.193486, Time  0.436599
2021-09-27 14:16:28.873825 : Epoch  7, Batch    376, Loss  1.184123, Average Loss  1.193434, Time  0.435716
2021-09-27 14:16:34.177123 : Epoch  7, Batch    377, Loss  1.195763, Average Loss  1.193461, Time  0.450088
2021-09-27 14:16:39.435390 : Epoch  7, Batch    378, Loss  1.186816, Average Loss  1.193444, Time  0.435720
2021-09-27 14:16:44.681076 : Epoch  7, Batch    379, Loss  1.195969, Average Loss  1.193377, Time  0.435332
2021-09-27 14:16:49.945257 : Epoch  7, Batch    380, Loss  1.204622, Average Loss  1.193395, Time  0.435690
2021-09-27 14:16:55.425720 : Epoch  7, Batch    381, Loss  1.199923, Average Loss  1.193394, Time  0.438553
2021-09-27 14:17:01.326374 : Epoch  7, Batch    382, Loss  1.191862, Average Loss  1.193356, Time  0.441320
2021-09-27 14:17:07.217012 : Epoch  7, Batch    383, Loss  1.187039, Average Loss  1.193255, Time  0.440316
2021-09-27 14:17:13.119193 : Epoch  7, Batch    384, Loss  1.173625, Average Loss  1.193139, Time  0.438673
2021-09-27 14:17:19.034815 : Epoch  7, Batch    385, Loss  1.188677, Average Loss  1.193093, Time  0.450217
2021-09-27 14:17:24.927114 : Epoch  7, Batch    386, Loss  1.205371, Average Loss  1.193131, Time  0.440027
2021-09-27 14:17:30.830255 : Epoch  7, Batch    387, Loss  1.186673, Average Loss  1.193153, Time  0.438431
2021-09-27 14:17:36.726200 : Epoch  7, Batch    388, Loss  1.186203, Average Loss  1.193082, Time  0.439382
2021-09-27 14:17:42.627385 : Epoch  7, Batch    389, Loss  1.184980, Average Loss  1.192980, Time  0.441874
2021-09-27 14:17:48.526816 : Epoch  7, Batch    390, Loss  1.200026, Average Loss  1.193058, Time  0.438782
2021-09-27 14:17:54.432508 : Epoch  7, Batch    391, Loss  1.198535, Average Loss  1.193082, Time  0.439807
2021-09-27 14:18:00.355863 : Epoch  7, Batch    392, Loss  1.203592, Average Loss  1.193157, Time  0.441490
2021-09-27 14:18:06.262313 : Epoch  7, Batch    393, Loss  1.180993, Average Loss  1.193126, Time  0.453073
2021-09-27 14:18:12.161375 : Epoch  7, Batch    394, Loss  1.198433, Average Loss  1.193155, Time  0.439074
2021-09-27 14:18:18.068100 : Epoch  7, Batch    395, Loss  1.183995, Average Loss  1.193069, Time  0.440067
2021-09-27 14:18:23.969801 : Epoch  7, Batch    396, Loss  1.190066, Average Loss  1.193062, Time  0.443441
2021-09-27 14:18:29.868571 : Epoch  7, Batch    397, Loss  1.187193, Average Loss  1.193042, Time  0.443908
2021-09-27 14:18:35.771273 : Epoch  7, Batch    398, Loss  1.192313, Average Loss  1.193132, Time  0.441944
2021-09-27 14:18:41.673036 : Epoch  7, Batch    399, Loss  1.200835, Average Loss  1.193176, Time  0.439317
2021-09-27 14:18:47.583872 : Epoch  7, Batch    400, Loss  1.204151, Average Loss  1.193208, Time  0.441120
2021-09-27 14:18:53.515844 : Epoch  7, Batch    401, Loss  1.196669, Average Loss  1.193209, Time  0.456666
2021-09-27 14:18:59.406749 : Epoch  7, Batch    402, Loss  1.189917, Average Loss  1.193145, Time  0.439498
2021-09-27 14:19:05.312085 : Epoch  7, Batch    403, Loss  1.210709, Average Loss  1.193188, Time  0.440154
2021-09-27 14:19:11.238385 : Epoch  7, Batch    404, Loss  1.181701, Average Loss  1.193225, Time  0.441316
2021-09-27 14:19:17.141778 : Epoch  7, Batch    405, Loss  1.195322, Average Loss  1.193214, Time  0.438975
2021-09-27 14:19:23.049244 : Epoch  7, Batch    406, Loss  1.203823, Average Loss  1.193196, Time  0.439287
2021-09-27 14:19:28.945519 : Epoch  7, Batch    407, Loss  1.190250, Average Loss  1.193187, Time  0.439181
2021-09-27 14:19:34.855762 : Epoch  7, Batch    408, Loss  1.188816, Average Loss  1.193168, Time  0.441534
2021-09-27 14:19:40.769501 : Epoch  7, Batch    409, Loss  1.184649, Average Loss  1.193075, Time  0.450297
2021-09-27 14:19:46.675848 : Epoch  7, Batch    410, Loss  1.185738, Average Loss  1.193021, Time  0.439768
2021-09-27 14:19:52.576855 : Epoch  7, Batch    411, Loss  1.191400, Average Loss  1.192997, Time  0.439906
2021-09-27 14:19:58.486733 : Epoch  7, Batch    412, Loss  1.198618, Average Loss  1.193035, Time  0.443220
2021-09-27 14:20:04.385359 : Epoch  7, Batch    413, Loss  1.206892, Average Loss  1.193067, Time  0.440059
2021-09-27 14:20:10.281780 : Epoch  7, Batch    414, Loss  1.193145, Average Loss  1.193107, Time  0.438672
2021-09-27 14:20:16.181771 : Epoch  7, Batch    415, Loss  1.192966, Average Loss  1.193019, Time  0.440136
2021-09-27 14:20:22.075741 : Epoch  7, Batch    416, Loss  1.197206, Average Loss  1.192988, Time  0.438951
2021-09-27 14:20:27.992808 : Epoch  7, Batch    417, Loss  1.184317, Average Loss  1.192989, Time  0.456538
2021-09-27 14:20:33.886447 : Epoch  7, Batch    418, Loss  1.192197, Average Loss  1.192952, Time  0.441743
2021-09-27 14:20:39.787308 : Epoch  7, Batch    419, Loss  1.185955, Average Loss  1.192796, Time  0.439015
2021-09-27 14:20:45.682615 : Epoch  7, Batch    420, Loss  1.209556, Average Loss  1.192833, Time  0.439219
2021-09-27 14:20:51.602292 : Epoch  7, Batch    421, Loss  1.179113, Average Loss  1.192732, Time  0.443250
2021-09-27 14:20:57.491435 : Epoch  7, Batch    422, Loss  1.186216, Average Loss  1.192699, Time  0.439105
2021-09-27 14:21:03.386072 : Epoch  7, Batch    423, Loss  1.190819, Average Loss  1.192666, Time  0.438448
2021-09-27 14:21:09.274374 : Epoch  7, Batch    424, Loss  1.194839, Average Loss  1.192703, Time  0.438458
2021-09-27 14:21:15.190511 : Epoch  7, Batch    425, Loss  1.198832, Average Loss  1.192707, Time  0.448970
2021-09-27 14:21:21.110364 : Epoch  7, Batch    426, Loss  1.187485, Average Loss  1.192638, Time  0.439773
2021-09-27 14:21:27.015573 : Epoch  7, Batch    427, Loss  1.179419, Average Loss  1.192657, Time  0.441028
2021-09-27 14:21:32.916781 : Epoch  7, Batch    428, Loss  1.201715, Average Loss  1.192669, Time  0.442585
2021-09-27 14:21:38.813117 : Epoch  7, Batch    429, Loss  1.187779, Average Loss  1.192625, Time  0.440299
2021-09-27 14:21:44.717813 : Epoch  7, Batch    430, Loss  1.188127, Average Loss  1.192624, Time  0.440935
2021-09-27 14:21:50.625126 : Epoch  7, Batch    431, Loss  1.198667, Average Loss  1.192546, Time  0.443084
2021-09-27 14:22:02.051206 : Epoch  7, Batch    432, Loss  1.203813, Average Loss  1.192660, Time  0.455140
2021-09-27 14:26:38.448154 : CheckPoint: Validation Loss  0.00020916, Best Loss  0.00020384
2021-09-27 14:26:44.339637 : Epoch  7, Batch    433, Loss  1.186342, Average Loss  1.192554, Time  0.452339
2021-09-27 14:26:50.243851 : Epoch  7, Batch    434, Loss  1.207485, Average Loss  1.192619, Time  0.441561
2021-09-27 14:26:56.140052 : Epoch  7, Batch    435, Loss  1.196110, Average Loss  1.192633, Time  0.439429
2021-09-27 14:27:02.045565 : Epoch  7, Batch    436, Loss  1.175643, Average Loss  1.192545, Time  0.440375
2021-09-27 14:27:07.932461 : Epoch  7, Batch    437, Loss  1.184577, Average Loss  1.192450, Time  0.441436
2021-09-27 14:27:13.823091 : Epoch  7, Batch    438, Loss  1.199176, Average Loss  1.192484, Time  0.439529
2021-09-27 14:27:19.722772 : Epoch  7, Batch    439, Loss  1.180177, Average Loss  1.192354, Time  0.443676
2021-09-27 14:27:25.624262 : Epoch  7, Batch    440, Loss  1.186527, Average Loss  1.192334, Time  0.455552
2021-09-27 14:27:31.512858 : Epoch  7, Batch    441, Loss  1.187799, Average Loss  1.192340, Time  0.440667
2021-09-27 14:27:37.395793 : Epoch  7, Batch    442, Loss  1.179536, Average Loss  1.192228, Time  0.440482
2021-09-27 14:27:43.290150 : Epoch  7, Batch    443, Loss  1.202066, Average Loss  1.192210, Time  0.440454
2021-09-27 14:27:49.175993 : Epoch  7, Batch    444, Loss  1.203162, Average Loss  1.192214, Time  0.439407
2021-09-27 14:27:55.067740 : Epoch  7, Batch    445, Loss  1.191919, Average Loss  1.192296, Time  0.439181
2021-09-27 14:28:00.962993 : Epoch  7, Batch    446, Loss  1.196292, Average Loss  1.192362, Time  0.440683
2021-09-27 14:28:06.850828 : Epoch  7, Batch    447, Loss  1.192793, Average Loss  1.192354, Time  0.441253
2021-09-27 14:28:12.775492 : Epoch  7, Batch    448, Loss  1.173331, Average Loss  1.192182, Time  0.451700
2021-09-27 14:28:18.664667 : Epoch  7, Batch    449, Loss  1.204843, Average Loss  1.192307, Time  0.440672
2021-09-27 14:28:24.558787 : Epoch  7, Batch    450, Loss  1.183255, Average Loss  1.192248, Time  0.441217
2021-09-27 14:28:30.442861 : Epoch  7, Batch    451, Loss  1.189918, Average Loss  1.192226, Time  0.439743
2021-09-27 14:28:36.340436 : Epoch  7, Batch    452, Loss  1.199982, Average Loss  1.192286, Time  0.438933
2021-09-27 14:28:42.221791 : Epoch  7, Batch    453, Loss  1.188487, Average Loss  1.192242, Time  0.439030
2021-09-27 14:28:48.099881 : Epoch  7, Batch    454, Loss  1.188549, Average Loss  1.192170, Time  0.438700
2021-09-27 14:28:53.985367 : Epoch  7, Batch    455, Loss  1.201800, Average Loss  1.192187, Time  0.439744
2021-09-27 14:28:59.886233 : Epoch  7, Batch    456, Loss  1.192415, Average Loss  1.192290, Time  0.452292
2021-09-27 14:29:05.770792 : Epoch  7, Batch    457, Loss  1.204558, Average Loss  1.192398, Time  0.439733
2021-09-27 14:29:11.659509 : Epoch  7, Batch    458, Loss  1.193136, Average Loss  1.192421, Time  0.440063
2021-09-27 14:29:17.549634 : Epoch  7, Batch    459, Loss  1.184692, Average Loss  1.192354, Time  0.439244
2021-09-27 14:29:23.438614 : Epoch  7, Batch    460, Loss  1.200822, Average Loss  1.192462, Time  0.440164
2021-09-27 14:29:29.334787 : Epoch  7, Batch    461, Loss  1.191226, Average Loss  1.192499, Time  0.440058
2021-09-27 14:29:35.225154 : Epoch  7, Batch    462, Loss  1.201479, Average Loss  1.192608, Time  0.441759
2021-09-27 14:29:41.098562 : Epoch  7, Batch    463, Loss  1.191026, Average Loss  1.192555, Time  0.440145
2021-09-27 14:29:47.008160 : Epoch  7, Batch    464, Loss  1.188394, Average Loss  1.192539, Time  0.453062
2021-09-27 14:29:52.902831 : Epoch  7, Batch    465, Loss  1.183917, Average Loss  1.192539, Time  0.439694
2021-09-27 14:29:58.789396 : Epoch  7, Batch    466, Loss  1.181334, Average Loss  1.192443, Time  0.439592
2021-09-27 14:30:04.712886 : Epoch  7, Batch    467, Loss  1.191309, Average Loss  1.192490, Time  0.439784
2021-09-27 14:30:10.602746 : Epoch  7, Batch    468, Loss  1.190015, Average Loss  1.192543, Time  0.439770
2021-09-27 14:30:16.489755 : Epoch  7, Batch    469, Loss  1.209348, Average Loss  1.192647, Time  0.439731
2021-09-27 14:30:22.384742 : Epoch  7, Batch    470, Loss  1.183720, Average Loss  1.192624, Time  0.439487
2021-09-27 14:30:28.273131 : Epoch  7, Batch    471, Loss  1.179885, Average Loss  1.192494, Time  0.438814
2021-09-27 14:30:34.165633 : Epoch  7, Batch    472, Loss  1.184991, Average Loss  1.192528, Time  0.450616
2021-09-27 14:30:40.048662 : Epoch  7, Batch    473, Loss  1.182728, Average Loss  1.192456, Time  0.439717
2021-09-27 14:30:45.924642 : Epoch  7, Batch    474, Loss  1.181410, Average Loss  1.192409, Time  0.438754
2021-09-27 14:30:51.814821 : Epoch  7, Batch    475, Loss  1.207847, Average Loss  1.192471, Time  0.440479
2021-09-27 14:30:57.705158 : Epoch  7, Batch    476, Loss  1.195202, Average Loss  1.192442, Time  0.439222
2021-09-27 14:31:03.610536 : Epoch  7, Batch    477, Loss  1.208219, Average Loss  1.192508, Time  0.439316
2021-09-27 14:31:09.497448 : Epoch  7, Batch    478, Loss  1.203126, Average Loss  1.192642, Time  0.440290
2021-09-27 14:31:15.396680 : Epoch  7, Batch    479, Loss  1.195964, Average Loss  1.192664, Time  0.440030
2021-09-27 14:31:21.289842 : Epoch  7, Batch    480, Loss  1.201443, Average Loss  1.192723, Time  0.450592
2021-09-27 14:31:27.183768 : Epoch  7, Batch    481, Loss  1.188995, Average Loss  1.192701, Time  0.438884
2021-09-27 14:31:33.080735 : Epoch  7, Batch    482, Loss  1.196760, Average Loss  1.192759, Time  0.439619
2021-09-27 14:31:38.979092 : Epoch  7, Batch    483, Loss  1.206202, Average Loss  1.192785, Time  0.445664
2021-09-27 14:31:44.865433 : Epoch  7, Batch    484, Loss  1.188276, Average Loss  1.192781, Time  0.440870
2021-09-27 14:31:50.764890 : Epoch  7, Batch    485, Loss  1.195283, Average Loss  1.192761, Time  0.438761
2021-09-27 14:31:56.655307 : Epoch  7, Batch    486, Loss  1.200525, Average Loss  1.192722, Time  0.440125
2021-09-27 14:32:02.549811 : Epoch  7, Batch    487, Loss  1.188830, Average Loss  1.192676, Time  0.440116
2021-09-27 14:32:08.444659 : Epoch  7, Batch    488, Loss  1.199862, Average Loss  1.192710, Time  0.448787
2021-09-27 14:32:14.349404 : Epoch  7, Batch    489, Loss  1.183434, Average Loss  1.192743, Time  0.439500
2021-09-27 14:32:20.220898 : Epoch  7, Batch    490, Loss  1.193960, Average Loss  1.192702, Time  0.439559
2021-09-27 14:32:26.112402 : Epoch  7, Batch    491, Loss  1.192973, Average Loss  1.192694, Time  0.441365
2021-09-27 14:32:32.006521 : Epoch  7, Batch    492, Loss  1.203659, Average Loss  1.192789, Time  0.439084
2021-09-27 14:32:37.900146 : Epoch  7, Batch    493, Loss  1.199737, Average Loss  1.192865, Time  0.439205
2021-09-27 14:32:43.790934 : Epoch  7, Batch    494, Loss  1.195421, Average Loss  1.192828, Time  0.440406
2021-09-27 14:32:49.709495 : Epoch  7, Batch    495, Loss  1.187072, Average Loss  1.192835, Time  0.441042
2021-09-27 14:32:55.595773 : Epoch  7, Batch    496, Loss  1.200361, Average Loss  1.192884, Time  0.447824
2021-09-27 14:33:01.488857 : Epoch  7, Batch    497, Loss  1.181308, Average Loss  1.192810, Time  0.439631
2021-09-27 14:33:07.376939 : Epoch  7, Batch    498, Loss  1.195714, Average Loss  1.192792, Time  0.442384
2021-09-27 14:33:13.267830 : Epoch  7, Batch    499, Loss  1.194463, Average Loss  1.192863, Time  0.438708
2021-09-27 14:33:19.180221 : Epoch  7, Batch    500, Loss  1.178444, Average Loss  1.192844, Time  0.440629
2021-09-27 14:33:25.086754 : Epoch  7, Batch    501, Loss  1.206727, Average Loss  1.192931, Time  0.439341
2021-09-27 14:33:30.979427 : Epoch  7, Batch    502, Loss  1.186727, Average Loss  1.192870, Time  0.441476
2021-09-27 14:33:36.863848 : Epoch  7, Batch    503, Loss  1.191066, Average Loss  1.192784, Time  0.439328
2021-09-27 14:33:42.775732 : Epoch  7, Batch    504, Loss  1.178134, Average Loss  1.192856, Time  0.456037
2021-09-27 14:33:48.673536 : Epoch  7, Batch    505, Loss  1.198929, Average Loss  1.192846, Time  0.440060
2021-09-27 14:33:54.560786 : Epoch  7, Batch    506, Loss  1.190079, Average Loss  1.192849, Time  0.439161
2021-09-27 14:34:00.446540 : Epoch  7, Batch    507, Loss  1.193119, Average Loss  1.192826, Time  0.443744
2021-09-27 14:34:06.362045 : Epoch  7, Batch    508, Loss  1.199574, Average Loss  1.192872, Time  0.442116
2021-09-27 14:34:12.244373 : Epoch  7, Batch    509, Loss  1.196272, Average Loss  1.192876, Time  0.440627
2021-09-27 14:34:18.124041 : Epoch  7, Batch    510, Loss  1.201198, Average Loss  1.193003, Time  0.439537
2021-09-27 14:34:24.000652 : Epoch  7, Batch    511, Loss  1.180794, Average Loss  1.192910, Time  0.440536
2021-09-27 14:34:29.905367 : Epoch  7, Batch    512, Loss  1.203166, Average Loss  1.192891, Time  0.457282
2021-09-27 14:34:35.787232 : Epoch  7, Batch    513, Loss  1.181798, Average Loss  1.192873, Time  0.440626
2021-09-27 14:34:41.671770 : Epoch  7, Batch    514, Loss  1.211928, Average Loss  1.193018, Time  0.438757
2021-09-27 14:34:47.566653 : Epoch  7, Batch    515, Loss  1.214121, Average Loss  1.193142, Time  0.443229
2021-09-27 14:34:53.453717 : Epoch  7, Batch    516, Loss  1.208666, Average Loss  1.193306, Time  0.439220
2021-09-27 14:34:59.330642 : Epoch  7, Batch    517, Loss  1.187561, Average Loss  1.193260, Time  0.439119
2021-09-27 14:35:05.216822 : Epoch  7, Batch    518, Loss  1.199509, Average Loss  1.193291, Time  0.440013
2021-09-27 14:35:11.099411 : Epoch  7, Batch    519, Loss  1.189132, Average Loss  1.193271, Time  0.440757
2021-09-27 14:35:16.983685 : Epoch  7, Batch    520, Loss  1.183445, Average Loss  1.193192, Time  0.447011
2021-09-27 14:35:22.861451 : Epoch  7, Batch    521, Loss  1.184689, Average Loss  1.193152, Time  0.440068
2021-09-27 14:35:28.741878 : Epoch  7, Batch    522, Loss  1.194963, Average Loss  1.193139, Time  0.439082
2021-09-27 14:35:34.626123 : Epoch  7, Batch    523, Loss  1.168311, Average Loss  1.192977, Time  0.440274
2021-09-27 14:35:40.513815 : Epoch  7, Batch    524, Loss  1.195742, Average Loss  1.193053, Time  0.440149
2021-09-27 14:35:46.400298 : Epoch  7, Batch    525, Loss  1.200562, Average Loss  1.193089, Time  0.440164
2021-09-27 14:35:52.298222 : Epoch  7, Batch    526, Loss  1.187063, Average Loss  1.192996, Time  0.440801
2021-09-27 14:35:58.178048 : Epoch  7, Batch    527, Loss  1.204431, Average Loss  1.193123, Time  0.439255
2021-09-27 14:36:04.080859 : Epoch  7, Batch    528, Loss  1.198248, Average Loss  1.193111, Time  0.448874
2021-09-27 14:36:09.971845 : Epoch  7, Batch    529, Loss  1.202274, Average Loss  1.193160, Time  0.443326
2021-09-27 14:36:15.852929 : Epoch  7, Batch    530, Loss  1.196037, Average Loss  1.193165, Time  0.442979
2021-09-27 14:36:21.753765 : Epoch  7, Batch    531, Loss  1.184771, Average Loss  1.193174, Time  0.439580
2021-09-27 14:36:27.648799 : Epoch  7, Batch    532, Loss  1.193375, Average Loss  1.193176, Time  0.442323
2021-09-27 14:41:04.436009 : CheckPoint: Validation Loss  0.00020921, Best Loss  0.00020384
2021-09-27 14:41:10.336749 : Epoch  7, Batch    533, Loss  1.172373, Average Loss  1.192968, Time  0.439129
2021-09-27 14:41:16.240740 : Epoch  7, Batch    534, Loss  1.182895, Average Loss  1.192906, Time  0.440973
2021-09-27 14:41:22.127154 : Epoch  7, Batch    535, Loss  1.198266, Average Loss  1.192865, Time  0.438689
2021-09-27 14:41:28.051260 : Epoch  7, Batch    536, Loss  1.191343, Average Loss  1.192856, Time  0.459283
2021-09-27 14:41:33.935628 : Epoch  7, Batch    537, Loss  1.207776, Average Loss  1.192929, Time  0.439516
2021-09-27 14:41:39.833707 : Epoch  7, Batch    538, Loss  1.197626, Average Loss  1.192936, Time  0.440207
2021-09-27 14:41:45.722414 : Epoch  7, Batch    539, Loss  1.206368, Average Loss  1.192963, Time  0.441003
2021-09-27 14:41:51.621521 : Epoch  7, Batch    540, Loss  1.200412, Average Loss  1.192945, Time  0.440610
2021-09-27 14:41:57.520461 : Epoch  7, Batch    541, Loss  1.181977, Average Loss  1.192870, Time  0.439399
2021-09-27 14:42:03.418612 : Epoch  7, Batch    542, Loss  1.210811, Average Loss  1.192937, Time  0.439101
2021-09-27 14:42:09.323768 : Epoch  7, Batch    543, Loss  1.179338, Average Loss  1.192889, Time  0.439678
2021-09-27 14:42:15.246895 : Epoch  7, Batch    544, Loss  1.172611, Average Loss  1.192921, Time  0.450294
2021-09-27 14:42:21.157904 : Epoch  7, Batch    545, Loss  1.194691, Average Loss  1.192970, Time  0.443408
2021-09-27 14:42:27.052745 : Epoch  7, Batch    546, Loss  1.186337, Average Loss  1.192890, Time  0.438774
2021-09-27 14:42:32.944103 : Epoch  7, Batch    547, Loss  1.227201, Average Loss  1.193076, Time  0.439489
2021-09-27 14:42:38.825354 : Epoch  7, Batch    548, Loss  1.203270, Average Loss  1.193219, Time  0.440058
2021-09-27 14:42:44.736832 : Epoch  7, Batch    549, Loss  1.195831, Average Loss  1.193175, Time  0.443740
2021-09-27 14:42:50.632809 : Epoch  7, Batch    550, Loss  1.203764, Average Loss  1.193284, Time  0.440015
2021-09-27 14:42:56.537966 : Epoch  7, Batch    551, Loss  1.193651, Average Loss  1.193238, Time  0.439144
2021-09-27 14:43:02.433854 : Epoch  7, Batch    552, Loss  1.193031, Average Loss  1.193226, Time  0.447474
2021-09-27 14:43:08.341845 : Epoch  7, Batch    553, Loss  1.182031, Average Loss  1.193213, Time  0.439997
2021-09-27 14:43:14.231629 : Epoch  7, Batch    554, Loss  1.195685, Average Loss  1.193265, Time  0.438744
2021-09-27 14:43:20.133763 : Epoch  7, Batch    555, Loss  1.190270, Average Loss  1.193174, Time  0.442000
2021-09-27 14:43:26.040822 : Epoch  7, Batch    556, Loss  1.186934, Average Loss  1.193078, Time  0.444643
2021-09-27 14:43:31.941772 : Epoch  7, Batch    557, Loss  1.193713, Average Loss  1.193105, Time  0.440655
2021-09-27 14:43:37.827677 : Epoch  7, Batch    558, Loss  1.188439, Average Loss  1.193066, Time  0.439148
2021-09-27 14:43:43.731098 : Epoch  7, Batch    559, Loss  1.200703, Average Loss  1.193054, Time  0.439801
2021-09-27 14:43:49.643389 : Epoch  7, Batch    560, Loss  1.197447, Average Loss  1.193115, Time  0.452786
2021-09-27 14:43:55.527949 : Epoch  7, Batch    561, Loss  1.199165, Average Loss  1.193150, Time  0.443663
2021-09-27 14:44:01.417756 : Epoch  7, Batch    562, Loss  1.195822, Average Loss  1.193126, Time  0.438967
2021-09-27 14:44:07.321556 : Epoch  7, Batch    563, Loss  1.204325, Average Loss  1.193217, Time  0.442950
2021-09-27 14:44:13.228375 : Epoch  7, Batch    564, Loss  1.185817, Average Loss  1.193147, Time  0.439481
2021-09-27 14:44:19.147615 : Epoch  7, Batch    565, Loss  1.184657, Average Loss  1.193117, Time  0.438882
2021-09-27 14:44:25.037749 : Epoch  7, Batch    566, Loss  1.175669, Average Loss  1.192858, Time  0.438824
2021-09-27 14:44:30.952232 : Epoch  7, Batch    567, Loss  1.194138, Average Loss  1.192891, Time  0.453253
2021-09-27 14:44:36.864367 : Epoch  7, Batch    568, Loss  1.183554, Average Loss  1.192780, Time  0.440820
2021-09-27 14:44:42.769254 : Epoch  7, Batch    569, Loss  1.195967, Average Loss  1.192819, Time  0.442075
2021-09-27 14:44:48.666849 : Epoch  7, Batch    570, Loss  1.196540, Average Loss  1.192879, Time  0.441802
2021-09-27 14:44:54.570412 : Epoch  7, Batch    571, Loss  1.201171, Average Loss  1.192951, Time  0.445163
2021-09-27 14:45:00.464831 : Epoch  7, Batch    572, Loss  1.205495, Average Loss  1.193088, Time  0.442543
2021-09-27 14:45:06.365343 : Epoch  7, Batch    573, Loss  1.181141, Average Loss  1.193030, Time  0.440214
2021-09-27 14:45:12.264388 : Epoch  7, Batch    574, Loss  1.190524, Average Loss  1.193108, Time  0.441409
2021-09-27 14:45:18.166743 : Epoch  7, Batch    575, Loss  1.186960, Average Loss  1.193079, Time  0.456554
2021-09-27 14:45:24.095059 : Epoch  7, Batch    576, Loss  1.200330, Average Loss  1.193160, Time  0.440454
2021-09-27 14:45:29.987847 : Epoch  7, Batch    577, Loss  1.182148, Average Loss  1.193092, Time  0.439279
2021-09-27 14:45:35.882657 : Epoch  7, Batch    578, Loss  1.189843, Average Loss  1.193107, Time  0.440135
2021-09-27 14:45:41.791886 : Epoch  7, Batch    579, Loss  1.189106, Average Loss  1.193073, Time  0.442449
2021-09-27 14:45:47.698953 : Epoch  7, Batch    580, Loss  1.184488, Average Loss  1.192972, Time  0.440641
2021-09-27 14:45:53.594838 : Epoch  7, Batch    581, Loss  1.179085, Average Loss  1.192868, Time  0.441145
2021-09-27 14:45:59.489990 : Epoch  7, Batch    582, Loss  1.190448, Average Loss  1.192861, Time  0.441329
2021-09-27 14:46:05.400824 : Epoch  7, Batch    583, Loss  1.196738, Average Loss  1.192910, Time  0.450673
2021-09-27 14:46:11.306064 : Epoch  7, Batch    584, Loss  1.194283, Average Loss  1.193013, Time  0.439773
2021-09-27 14:46:17.202155 : Epoch  7, Batch    585, Loss  1.197043, Average Loss  1.193055, Time  0.440580
2021-09-27 14:46:23.099075 : Epoch  7, Batch    586, Loss  1.202825, Average Loss  1.193042, Time  0.440880
2021-09-27 14:46:28.998037 : Epoch  7, Batch    587, Loss  1.187052, Average Loss  1.193044, Time  0.438641
2021-09-27 14:46:34.887775 : Epoch  7, Batch    588, Loss  1.201661, Average Loss  1.193121, Time  0.440888
2021-09-27 14:46:40.780906 : Epoch  7, Batch    589, Loss  1.195307, Average Loss  1.193173, Time  0.440627
2021-09-27 14:46:46.666673 : Epoch  7, Batch    590, Loss  1.187708, Average Loss  1.193111, Time  0.441160
2021-09-27 14:46:52.575521 : Epoch  7, Batch    591, Loss  1.191430, Average Loss  1.193076, Time  0.456645
2021-09-27 14:46:58.467677 : Epoch  7, Batch    592, Loss  1.188039, Average Loss  1.192998, Time  0.439645
2021-09-27 14:47:04.373450 : Epoch  7, Batch    593, Loss  1.218824, Average Loss  1.193187, Time  0.443979
2021-09-27 14:47:10.269787 : Epoch  7, Batch    594, Loss  1.188111, Average Loss  1.193135, Time  0.439265
2021-09-27 14:47:16.166697 : Epoch  7, Batch    595, Loss  1.195058, Average Loss  1.193191, Time  0.439692
2021-09-27 14:47:22.069678 : Epoch  7, Batch    596, Loss  1.205483, Average Loss  1.193268, Time  0.441996
2021-09-27 14:47:27.953775 : Epoch  7, Batch    597, Loss  1.196468, Average Loss  1.193314, Time  0.438600
2021-09-27 14:47:33.854404 : Epoch  7, Batch    598, Loss  1.203437, Average Loss  1.193370, Time  0.442213
2021-09-27 14:47:39.775798 : Epoch  7, Batch    599, Loss  1.181650, Average Loss  1.193274, Time  0.450473
2021-09-27 14:47:45.669602 : Epoch  7, Batch    600, Loss  1.190648, Average Loss  1.193206, Time  0.439481
2021-09-27 14:47:51.566186 : Epoch  7, Batch    601, Loss  1.198756, Average Loss  1.193217, Time  0.441409
2021-09-27 14:47:57.467038 : Epoch  7, Batch    602, Loss  1.205683, Average Loss  1.193296, Time  0.438763
2021-09-27 14:48:03.370366 : Epoch  7, Batch    603, Loss  1.193523, Average Loss  1.193210, Time  0.438794
2021-09-27 14:48:09.258775 : Epoch  7, Batch    604, Loss  1.202784, Average Loss  1.193315, Time  0.439956
2021-09-27 14:48:15.153270 : Epoch  7, Batch    605, Loss  1.206948, Average Loss  1.193373, Time  0.442894
2021-09-27 14:48:21.063651 : Epoch  7, Batch    606, Loss  1.202185, Average Loss  1.193365, Time  0.440244
2021-09-27 14:48:26.991196 : Epoch  7, Batch    607, Loss  1.207785, Average Loss  1.193453, Time  0.455086
2021-09-27 14:48:32.891188 : Epoch  7, Batch    608, Loss  1.177517, Average Loss  1.193396, Time  0.439294
2021-09-27 14:48:38.795302 : Epoch  7, Batch    609, Loss  1.178812, Average Loss  1.193367, Time  0.440722
2021-09-27 14:48:44.685824 : Epoch  7, Batch    610, Loss  1.202631, Average Loss  1.193452, Time  0.439455
2021-09-27 14:48:50.579782 : Epoch  7, Batch    611, Loss  1.201896, Average Loss  1.193504, Time  0.439561
2021-09-27 14:48:56.470916 : Epoch  7, Batch    612, Loss  1.202169, Average Loss  1.193522, Time  0.440901
2021-09-27 14:49:02.373992 : Epoch  7, Batch    613, Loss  1.196639, Average Loss  1.193471, Time  0.443157
2021-09-27 14:49:08.292865 : Epoch  7, Batch    614, Loss  1.193569, Average Loss  1.193473, Time  0.443113
2021-09-27 14:49:14.212426 : Epoch  7, Batch    615, Loss  1.184313, Average Loss  1.193429, Time  0.452834
2021-09-27 14:49:20.124472 : Epoch  7, Batch    616, Loss  1.217722, Average Loss  1.193532, Time  0.440764
2021-09-27 14:49:26.023945 : Epoch  7, Batch    617, Loss  1.206136, Average Loss  1.193641, Time  0.439814
2021-09-27 14:49:31.924642 : Epoch  7, Batch    618, Loss  1.181001, Average Loss  1.193585, Time  0.439461
2021-09-27 14:49:37.837892 : Epoch  7, Batch    619, Loss  1.185140, Average Loss  1.193581, Time  0.441380
2021-09-27 14:49:43.733144 : Epoch  7, Batch    620, Loss  1.192329, Average Loss  1.193495, Time  0.438646
2021-09-27 14:49:49.634816 : Epoch  7, Batch    621, Loss  1.197717, Average Loss  1.193588, Time  0.440485
2021-09-27 14:49:55.526803 : Epoch  7, Batch    622, Loss  1.200259, Average Loss  1.193658, Time  0.439587
2021-09-27 14:50:01.455756 : Epoch  7, Batch    623, Loss  1.192349, Average Loss  1.193666, Time  0.453575
2021-09-27 14:50:07.364856 : Epoch  7, Batch    624, Loss  1.196603, Average Loss  1.193675, Time  0.439080
2021-09-27 14:50:13.268779 : Epoch  7, Batch    625, Loss  1.185478, Average Loss  1.193608, Time  0.443235
2021-09-27 14:50:19.162664 : Epoch  7, Batch    626, Loss  1.193447, Average Loss  1.193638, Time  0.442106
2021-09-27 14:50:25.072702 : Epoch  7, Batch    627, Loss  1.205802, Average Loss  1.193770, Time  0.438867
2021-09-27 14:50:30.979177 : Epoch  7, Batch    628, Loss  1.185651, Average Loss  1.193689, Time  0.438939
2021-09-27 14:50:36.868819 : Epoch  7, Batch    629, Loss  1.205412, Average Loss  1.193777, Time  0.441538
2021-09-27 14:50:42.765881 : Epoch  7, Batch    630, Loss  1.206410, Average Loss  1.193869, Time  0.444399
2021-09-27 14:50:48.669624 : Epoch  7, Batch    631, Loss  1.201544, Average Loss  1.193883, Time  0.449541
2021-09-27 14:50:54.569370 : Epoch  7, Batch    632, Loss  1.196152, Average Loss  1.193845, Time  0.438942
2021-09-27 14:55:31.026218 : CheckPoint: Validation Loss  0.00020587, Best Loss  0.00020384
2021-09-27 14:55:36.957275 : Epoch  7, Batch    633, Loss  1.207548, Average Loss  1.193951, Time  0.440355
2021-09-27 14:55:42.865104 : Epoch  7, Batch    634, Loss  1.183647, Average Loss  1.193832, Time  0.438833
2021-09-27 14:55:48.786245 : Epoch  7, Batch    635, Loss  1.191044, Average Loss  1.193806, Time  0.440422
2021-09-27 14:55:54.712926 : Epoch  7, Batch    636, Loss  1.188586, Average Loss  1.193871, Time  0.441302
2021-09-27 14:56:00.615776 : Epoch  7, Batch    637, Loss  1.207599, Average Loss  1.193986, Time  0.442096
2021-09-27 14:56:06.561873 : Epoch  7, Batch    638, Loss  1.197255, Average Loss  1.193977, Time  0.438864
2021-09-27 14:56:12.479987 : Epoch  7, Batch    639, Loss  1.188563, Average Loss  1.194019, Time  0.453540
2021-09-27 14:56:18.400750 : Epoch  7, Batch    640, Loss  1.187112, Average Loss  1.194021, Time  0.439492
2021-09-27 14:56:24.306849 : Epoch  7, Batch    641, Loss  1.190777, Average Loss  1.194036, Time  0.443466
2021-09-27 14:56:30.220350 : Epoch  7, Batch    642, Loss  1.192888, Average Loss  1.194103, Time  0.441455
2021-09-27 14:56:36.140146 : Epoch  7, Batch    643, Loss  1.197206, Average Loss  1.194079, Time  0.443246
2021-09-27 14:56:42.073086 : Epoch  7, Batch    644, Loss  1.194053, Average Loss  1.194033, Time  0.439588
2021-09-27 14:56:48.007798 : Epoch  7, Batch    645, Loss  1.189332, Average Loss  1.194020, Time  0.441912
2021-09-27 14:56:53.951189 : Epoch  7, Batch    646, Loss  1.220393, Average Loss  1.194141, Time  0.439900
2021-09-27 14:56:59.878596 : Epoch  7, Batch    647, Loss  1.201406, Average Loss  1.194184, Time  0.455526
2021-09-27 14:57:05.804064 : Epoch  7, Batch    648, Loss  1.194943, Average Loss  1.194292, Time  0.439502
2021-09-27 14:57:11.730337 : Epoch  7, Batch    649, Loss  1.211755, Average Loss  1.194327, Time  0.439499
2021-09-27 14:57:17.619749 : Epoch  7, Batch    650, Loss  1.182323, Average Loss  1.194322, Time  0.439892
2021-09-27 14:57:23.537376 : Epoch  7, Batch    651, Loss  1.190689, Average Loss  1.194326, Time  0.439727
2021-09-27 14:57:29.462982 : Epoch  7, Batch    652, Loss  1.183888, Average Loss  1.194245, Time  0.440235
2021-09-27 14:57:35.386066 : Epoch  7, Batch    653, Loss  1.180929, Average Loss  1.194207, Time  0.439455
2021-09-27 14:57:41.316758 : Epoch  7, Batch    654, Loss  1.196640, Average Loss  1.194248, Time  0.442542
2021-09-27 14:57:47.268755 : Epoch  7, Batch    655, Loss  1.190193, Average Loss  1.194190, Time  0.450228
2021-09-27 14:57:53.185636 : Epoch  7, Batch    656, Loss  1.207550, Average Loss  1.194266, Time  0.439337
2021-09-27 14:57:59.094712 : Epoch  7, Batch    657, Loss  1.176861, Average Loss  1.194127, Time  0.441463
2021-09-27 14:58:05.025244 : Epoch  7, Batch    658, Loss  1.180029, Average Loss  1.194062, Time  0.440136
2021-09-27 14:58:10.941881 : Epoch  7, Batch    659, Loss  1.180793, Average Loss  1.194042, Time  0.439696
2021-09-27 14:58:16.842854 : Epoch  7, Batch    660, Loss  1.181964, Average Loss  1.193948, Time  0.439100
2021-09-27 14:58:22.773339 : Epoch  7, Batch    661, Loss  1.193735, Average Loss  1.193960, Time  0.439084
2021-09-27 14:58:28.682802 : Epoch  7, Batch    662, Loss  1.181808, Average Loss  1.193862, Time  0.440252
2021-09-27 14:58:34.606742 : Epoch  7, Batch    663, Loss  1.178316, Average Loss  1.193798, Time  0.447732
2021-09-27 14:58:40.537426 : Epoch  7, Batch    664, Loss  1.182231, Average Loss  1.193768, Time  0.440524
2021-09-27 14:58:46.462425 : Epoch  7, Batch    665, Loss  1.183617, Average Loss  1.193766, Time  0.441400
2021-09-27 14:58:52.384416 : Epoch  7, Batch    666, Loss  1.199653, Average Loss  1.193858, Time  0.439672
2021-09-27 14:58:58.296150 : Epoch  7, Batch    667, Loss  1.186282, Average Loss  1.193833, Time  0.441220
2021-09-27 14:59:04.208510 : Epoch  7, Batch    668, Loss  1.201740, Average Loss  1.193891, Time  0.438867
2021-09-27 14:59:10.125342 : Epoch  7, Batch    669, Loss  1.191154, Average Loss  1.193800, Time  0.438611
2021-09-27 14:59:16.048790 : Epoch  7, Batch    670, Loss  1.182841, Average Loss  1.193796, Time  0.448663
2021-09-27 14:59:21.969632 : Epoch  7, Batch    671, Loss  1.181742, Average Loss  1.193805, Time  0.439964
2021-09-27 14:59:27.880630 : Epoch  7, Batch    672, Loss  1.200830, Average Loss  1.193884, Time  0.440638
2021-09-27 14:59:33.802633 : Epoch  7, Batch    673, Loss  1.199730, Average Loss  1.193969, Time  0.439517
2021-09-27 14:59:39.725747 : Epoch  7, Batch    674, Loss  1.190539, Average Loss  1.194015, Time  0.439005
2021-09-27 14:59:45.657819 : Epoch  7, Batch    675, Loss  1.195881, Average Loss  1.193955, Time  0.439595
2021-09-27 14:59:51.576540 : Epoch  7, Batch    676, Loss  1.196699, Average Loss  1.193963, Time  0.441350
2021-09-27 14:59:57.511495 : Epoch  7, Batch    677, Loss  1.194772, Average Loss  1.193895, Time  0.441877
2021-09-27 15:00:03.441103 : Epoch  7, Batch    678, Loss  1.207796, Average Loss  1.193919, Time  0.452166
2021-09-27 15:00:09.365701 : Epoch  7, Batch    679, Loss  1.202775, Average Loss  1.193953, Time  0.438528
2021-09-27 15:00:15.293563 : Epoch  7, Batch    680, Loss  1.206383, Average Loss  1.193977, Time  0.440538
2021-09-27 15:00:21.216004 : Epoch  7, Batch    681, Loss  1.195692, Average Loss  1.194011, Time  0.439206
2021-09-27 15:00:27.128412 : Epoch  7, Batch    682, Loss  1.181164, Average Loss  1.193933, Time  0.439651
2021-09-27 15:00:33.069498 : Epoch  7, Batch    683, Loss  1.203866, Average Loss  1.193921, Time  0.439559
2021-09-27 15:00:38.967259 : Epoch  7, Batch    684, Loss  1.198613, Average Loss  1.193973, Time  0.443790
2021-09-27 15:00:44.888790 : Epoch  7, Batch    685, Loss  1.202154, Average Loss  1.194007, Time  0.439663
2021-09-27 15:00:50.802856 : Epoch  7, Batch    686, Loss  1.190294, Average Loss  1.193956, Time  0.450010
2021-09-27 15:00:56.716772 : Epoch  7, Batch    687, Loss  1.193720, Average Loss  1.193981, Time  0.438809
2021-09-27 15:01:02.643856 : Epoch  7, Batch    688, Loss  1.183738, Average Loss  1.193900, Time  0.439513
2021-09-27 15:01:08.560672 : Epoch  7, Batch    689, Loss  1.204790, Average Loss  1.194007, Time  0.442059
2021-09-27 15:01:14.467167 : Epoch  7, Batch    690, Loss  1.192692, Average Loss  1.194000, Time  0.440252
2021-09-27 15:01:20.389577 : Epoch  7, Batch    691, Loss  1.185663, Average Loss  1.193964, Time  0.439527
2021-09-27 15:01:26.310085 : Epoch  7, Batch    692, Loss  1.205223, Average Loss  1.193972, Time  0.438675
2021-09-27 15:01:32.224653 : Epoch  7, Batch    693, Loss  1.191732, Average Loss  1.193932, Time  0.438677
2021-09-27 15:01:38.167834 : Epoch  7, Batch    694, Loss  1.181893, Average Loss  1.193864, Time  0.455212
2021-09-27 15:01:44.088469 : Epoch  7, Batch    695, Loss  1.187978, Average Loss  1.193869, Time  0.439170
2021-09-27 15:01:50.015656 : Epoch  7, Batch    696, Loss  1.184611, Average Loss  1.193790, Time  0.439139
2021-09-27 15:01:55.941760 : Epoch  7, Batch    697, Loss  1.194001, Average Loss  1.193853, Time  0.440815
2021-09-27 15:02:00.311195 : Epoch  7, Batch    698, Loss  1.189167, Average Loss  1.193821, Time  0.341400
2021-09-27 15:02:06.208735 : Epoch  7, Batch    699, Loss  1.198834, Average Loss  1.193842, Time  0.438783
2021-09-27 15:02:12.117091 : Epoch  7, Batch    700, Loss  1.187402, Average Loss  1.193887, Time  0.440402
2021-09-27 15:02:18.026912 : Epoch  7, Batch    701, Loss  1.209091, Average Loss  1.193899, Time  0.440905
2021-09-27 15:02:23.948883 : Epoch  7, Batch    702, Loss  1.194335, Average Loss  1.193937, Time  0.457510
2021-09-27 15:02:29.863873 : Epoch  7, Batch    703, Loss  1.191361, Average Loss  1.193939, Time  0.441750
2021-09-27 15:02:35.789675 : Epoch  7, Batch    704, Loss  1.185787, Average Loss  1.193977, Time  0.440601
2021-09-27 15:02:41.695761 : Epoch  7, Batch    705, Loss  1.197295, Average Loss  1.193969, Time  0.439818
2021-09-27 15:02:47.626559 : Epoch  7, Batch    706, Loss  1.199251, Average Loss  1.194015, Time  0.441279
2021-09-27 15:02:53.528849 : Epoch  7, Batch    707, Loss  1.200597, Average Loss  1.194052, Time  0.439528
2021-09-27 15:02:59.431329 : Epoch  7, Batch    708, Loss  1.178405, Average Loss  1.193946, Time  0.440743
2021-09-27 15:03:05.370885 : Epoch  7, Batch    709, Loss  1.200477, Average Loss  1.193967, Time  0.441794
2021-09-27 15:03:11.294744 : Epoch  7, Batch    710, Loss  1.185254, Average Loss  1.193887, Time  0.452277
2021-09-27 15:03:17.216805 : Epoch  7, Batch    711, Loss  1.191705, Average Loss  1.193942, Time  0.440740
2021-09-27 15:03:23.132890 : Epoch  7, Batch    712, Loss  1.175836, Average Loss  1.193805, Time  0.440719
2021-09-27 15:03:29.040784 : Epoch  7, Batch    713, Loss  1.200409, Average Loss  1.193898, Time  0.440357
2021-09-27 15:03:34.945925 : Epoch  7, Batch    714, Loss  1.190155, Average Loss  1.193789, Time  0.441208
2021-09-27 15:03:40.867838 : Epoch  7, Batch    715, Loss  1.214115, Average Loss  1.193789, Time  0.442521
2021-09-27 15:03:46.767783 : Epoch  7, Batch    716, Loss  1.219947, Average Loss  1.193846, Time  0.440591
2021-09-27 15:03:52.695255 : Epoch  7, Batch    717, Loss  1.194394, Average Loss  1.193880, Time  0.440033
2021-09-27 15:03:58.629622 : Epoch  7, Batch    718, Loss  1.204859, Average Loss  1.193907, Time  0.451987
2021-09-27 15:04:04.568789 : Epoch  7, Batch    719, Loss  1.192307, Average Loss  1.193923, Time  0.441879
2021-09-27 15:04:10.475985 : Epoch  7, Batch    720, Loss  1.199493, Average Loss  1.194003, Time  0.440012
2021-09-27 15:04:16.397556 : Epoch  7, Batch    721, Loss  1.185977, Average Loss  1.194009, Time  0.441909
2021-09-27 15:04:22.336430 : Epoch  7, Batch    722, Loss  1.192563, Average Loss  1.193997, Time  0.442166
2021-09-27 15:04:28.248667 : Epoch  7, Batch    723, Loss  1.184992, Average Loss  1.194081, Time  0.442906
2021-09-27 15:04:34.156890 : Epoch  7, Batch    724, Loss  1.200396, Average Loss  1.194104, Time  0.438933
2021-09-27 15:04:40.097776 : Epoch  7, Batch    725, Loss  1.214857, Average Loss  1.194175, Time  0.448638
2021-09-27 15:04:46.001600 : Epoch  7, Batch    726, Loss  1.190049, Average Loss  1.194190, Time  0.438840
2021-09-27 15:04:51.941065 : Epoch  7, Batch    727, Loss  1.201412, Average Loss  1.194175, Time  0.443681
2021-09-27 15:04:57.853280 : Epoch  7, Batch    728, Loss  1.176584, Average Loss  1.194067, Time  0.439173
2021-09-27 15:05:03.780508 : Epoch  7, Batch    729, Loss  1.214234, Average Loss  1.194127, Time  0.440333
2021-09-27 15:05:09.700759 : Epoch  7, Batch    730, Loss  1.208947, Average Loss  1.194191, Time  0.440952
2021-09-27 15:05:15.608815 : Epoch  7, Batch    731, Loss  1.195773, Average Loss  1.194246, Time  0.442129
2021-09-27 15:05:21.537827 : Epoch  7, Batch    732, Loss  1.179895, Average Loss  1.194179, Time  0.440297
2021-09-27 15:09:58.378729 : CheckPoint: Validation Loss  0.00020623, Best Loss  0.00020384
2021-09-27 15:10:04.288792 : Epoch  7, Batch    733, Loss  1.188772, Average Loss  1.194261, Time  0.449279
2021-09-27 15:10:10.208603 : Epoch  7, Batch    734, Loss  1.197833, Average Loss  1.194336, Time  0.441629
2021-09-27 15:10:16.132435 : Epoch  7, Batch    735, Loss  1.196823, Average Loss  1.194328, Time  0.440341
2021-09-27 15:10:22.046935 : Epoch  7, Batch    736, Loss  1.192448, Average Loss  1.194334, Time  0.439842
2021-09-27 15:10:27.957781 : Epoch  7, Batch    737, Loss  1.181584, Average Loss  1.194203, Time  0.439547
2021-09-27 15:10:33.878933 : Epoch  7, Batch    738, Loss  1.182113, Average Loss  1.194125, Time  0.439866
2021-09-27 15:10:39.793812 : Epoch  7, Batch    739, Loss  1.187312, Average Loss  1.194030, Time  0.439821
2021-09-27 15:10:45.703049 : Epoch  7, Batch    740, Loss  1.187222, Average Loss  1.193964, Time  0.442096
2021-09-27 15:10:51.650009 : Epoch  7, Batch    741, Loss  1.207319, Average Loss  1.194091, Time  0.460366
2021-09-27 15:10:57.565514 : Epoch  7, Batch    742, Loss  1.193083, Average Loss  1.194002, Time  0.442188
2021-09-27 15:11:03.489892 : Epoch  7, Batch    743, Loss  1.195230, Average Loss  1.194082, Time  0.439985
2021-09-27 15:11:09.413719 : Epoch  7, Batch    744, Loss  1.200323, Average Loss  1.194220, Time  0.440965
2021-09-27 15:11:15.329174 : Epoch  7, Batch    745, Loss  1.209034, Average Loss  1.194292, Time  0.443537
2021-09-27 15:11:21.245809 : Epoch  7, Batch    746, Loss  1.185127, Average Loss  1.194286, Time  0.439314
2021-09-27 15:11:27.158751 : Epoch  7, Batch    747, Loss  1.194275, Average Loss  1.194121, Time  0.441294
2021-09-27 15:11:33.077811 : Epoch  7, Batch    748, Loss  1.178913, Average Loss  1.194000, Time  0.439793
2021-09-27 15:11:39.003799 : Epoch  7, Batch    749, Loss  1.202821, Average Loss  1.194034, Time  0.453160
2021-09-27 15:11:44.943879 : Epoch  7, Batch    750, Loss  1.184064, Average Loss  1.193936, Time  0.440331
2021-09-27 15:11:50.881324 : Epoch  7, Batch    751, Loss  1.197993, Average Loss  1.193958, Time  0.439006
2021-09-27 15:11:56.807789 : Epoch  7, Batch    752, Loss  1.193362, Average Loss  1.193959, Time  0.440326
2021-09-27 15:12:02.712512 : Epoch  7, Batch    753, Loss  1.197953, Average Loss  1.194039, Time  0.440084
2021-09-27 15:12:08.644807 : Epoch  7, Batch    754, Loss  1.183492, Average Loss  1.193978, Time  0.441205
2021-09-27 15:12:14.553053 : Epoch  7, Batch    755, Loss  1.202314, Average Loss  1.194038, Time  0.439899
2021-09-27 15:12:20.479139 : Epoch  7, Batch    756, Loss  1.200256, Average Loss  1.194105, Time  0.439195
2021-09-27 15:12:26.406834 : Epoch  7, Batch    757, Loss  1.194511, Average Loss  1.194109, Time  0.457718
2021-09-27 15:12:32.310930 : Epoch  7, Batch    758, Loss  1.177494, Average Loss  1.194054, Time  0.438654
2021-09-27 15:12:38.242646 : Epoch  7, Batch    759, Loss  1.196340, Average Loss  1.194032, Time  0.439824
2021-09-27 15:12:44.144931 : Epoch  7, Batch    760, Loss  1.207441, Average Loss  1.194082, Time  0.438764
2021-09-27 15:12:50.058622 : Epoch  7, Batch    761, Loss  1.180290, Average Loss  1.193988, Time  0.440192
2021-09-27 15:12:55.971628 : Epoch  7, Batch    762, Loss  1.178377, Average Loss  1.193901, Time  0.440031
2021-09-27 15:13:01.909679 : Epoch  7, Batch    763, Loss  1.209940, Average Loss  1.193929, Time  0.438811
2021-09-27 15:13:07.820083 : Epoch  7, Batch    764, Loss  1.185809, Average Loss  1.193929, Time  0.441606
2021-09-27 15:13:13.753087 : Epoch  7, Batch    765, Loss  1.181473, Average Loss  1.193913, Time  0.456076
2021-09-27 15:13:19.676572 : Epoch  7, Batch    766, Loss  1.188532, Average Loss  1.193977, Time  0.439797
2021-09-27 15:13:25.603813 : Epoch  7, Batch    767, Loss  1.201003, Average Loss  1.194011, Time  0.439512
2021-09-27 15:13:31.527050 : Epoch  7, Batch    768, Loss  1.186270, Average Loss  1.194025, Time  0.439637
2021-09-27 15:13:37.435472 : Epoch  7, Batch    769, Loss  1.205189, Average Loss  1.194071, Time  0.440857
2021-09-27 15:13:43.362908 : Epoch  7, Batch    770, Loss  1.191725, Average Loss  1.194047, Time  0.440159
2021-09-27 15:13:49.262047 : Epoch  7, Batch    771, Loss  1.181756, Average Loss  1.193950, Time  0.440230
2021-09-27 15:13:55.204729 : Epoch  7, Batch    772, Loss  1.188321, Average Loss  1.193864, Time  0.439350
2021-09-27 15:14:01.147053 : Epoch  7, Batch    773, Loss  1.198778, Average Loss  1.193952, Time  0.452779
2021-09-27 15:14:07.075103 : Epoch  7, Batch    774, Loss  1.202956, Average Loss  1.194014, Time  0.440634
2021-09-27 15:14:13.009365 : Epoch  7, Batch    775, Loss  1.196949, Average Loss  1.194064, Time  0.440653
2021-09-27 15:14:18.931574 : Epoch  7, Batch    776, Loss  1.204549, Average Loss  1.194085, Time  0.442420
2021-09-27 15:14:24.866790 : Epoch  7, Batch    777, Loss  1.183395, Average Loss  1.194092, Time  0.441487
2021-09-27 15:14:30.770755 : Epoch  7, Batch    778, Loss  1.190468, Average Loss  1.194095, Time  0.439147
2021-09-27 15:14:36.692411 : Epoch  7, Batch    779, Loss  1.176952, Average Loss  1.194034, Time  0.439147
2021-09-27 15:14:42.602623 : Epoch  7, Batch    780, Loss  1.194108, Average Loss  1.194082, Time  0.439343
2021-09-27 15:14:48.559752 : Epoch  7, Batch    781, Loss  1.193303, Average Loss  1.194153, Time  0.454353
2021-09-27 15:14:54.494465 : Epoch  7, Batch    782, Loss  1.194997, Average Loss  1.194176, Time  0.441716
2021-09-27 15:15:00.407766 : Epoch  7, Batch    783, Loss  1.202143, Average Loss  1.194203, Time  0.438995
2021-09-27 15:15:06.331433 : Epoch  7, Batch    784, Loss  1.202986, Average Loss  1.194247, Time  0.439655
2021-09-27 15:15:12.242231 : Epoch  7, Batch    785, Loss  1.183654, Average Loss  1.194180, Time  0.441219
2021-09-27 15:15:18.168936 : Epoch  7, Batch    786, Loss  1.186242, Average Loss  1.194097, Time  0.440711
2021-09-27 15:15:24.105195 : Epoch  7, Batch    787, Loss  1.206219, Average Loss  1.194192, Time  0.439463
2021-09-27 15:15:30.036848 : Epoch  7, Batch    788, Loss  1.191570, Average Loss  1.194142, Time  0.445508
2021-09-27 15:15:35.986133 : Epoch  7, Batch    789, Loss  1.200452, Average Loss  1.194168, Time  0.440136
2021-09-27 15:15:41.892304 : Epoch  7, Batch    790, Loss  1.192473, Average Loss  1.194192, Time  0.439962
2021-09-27 15:15:47.822798 : Epoch  7, Batch    791, Loss  1.187550, Average Loss  1.194172, Time  0.439297
2021-09-27 15:15:53.728834 : Epoch  7, Batch    792, Loss  1.197745, Average Loss  1.194221, Time  0.440434
2021-09-27 15:15:59.665780 : Epoch  7, Batch    793, Loss  1.192343, Average Loss  1.194088, Time  0.439441
2021-09-27 15:16:05.579156 : Epoch  7, Batch    794, Loss  1.198877, Average Loss  1.194142, Time  0.440480
2021-09-27 15:16:11.516991 : Epoch  7, Batch    795, Loss  1.201533, Average Loss  1.194175, Time  0.439835
2021-09-27 15:16:17.447807 : Epoch  7, Batch    796, Loss  1.198577, Average Loss  1.194140, Time  0.451864
2021-09-27 15:16:23.372218 : Epoch  7, Batch    797, Loss  1.187652, Average Loss  1.194096, Time  0.440068
2021-09-27 15:16:29.321059 : Epoch  7, Batch    798, Loss  1.188256, Average Loss  1.194020, Time  0.440485
2021-09-27 15:16:35.246171 : Epoch  7, Batch    799, Loss  1.192706, Average Loss  1.194075, Time  0.440534
2021-09-27 15:16:41.192433 : Epoch  7, Batch    800, Loss  1.204328, Average Loss  1.194144, Time  0.442311
2021-09-27 15:16:47.154767 : Epoch  7, Batch    801, Loss  1.194903, Average Loss  1.194124, Time  0.441096
2021-09-27 15:16:53.089284 : Epoch  7, Batch    802, Loss  1.198045, Average Loss  1.194086, Time  0.440517
2021-09-27 15:16:59.049789 : Epoch  7, Batch    803, Loss  1.189261, Average Loss  1.194065, Time  0.440054
2021-09-27 15:17:05.016549 : Epoch  7, Batch    804, Loss  1.203653, Average Loss  1.194069, Time  0.458240
2021-09-27 15:17:10.950944 : Epoch  7, Batch    805, Loss  1.189762, Average Loss  1.193983, Time  0.443147
2021-09-27 15:17:16.853412 : Epoch  7, Batch    806, Loss  1.211815, Average Loss  1.194031, Time  0.439281
2021-09-27 15:17:22.769058 : Epoch  7, Batch    807, Loss  1.200609, Average Loss  1.193996, Time  0.440786
2021-09-27 15:17:28.700844 : Epoch  7, Batch    808, Loss  1.213749, Average Loss  1.194177, Time  0.438886
2021-09-27 15:17:34.609181 : Epoch  7, Batch    809, Loss  1.202281, Average Loss  1.194294, Time  0.441325
2021-09-27 15:17:40.505567 : Epoch  7, Batch    810, Loss  1.199773, Average Loss  1.194280, Time  0.439544
2021-09-27 15:17:46.438679 : Epoch  7, Batch    811, Loss  1.202524, Average Loss  1.194283, Time  0.438585
2021-09-27 15:17:52.365914 : Epoch  7, Batch    812, Loss  1.182901, Average Loss  1.194187, Time  0.455418
2021-09-27 15:17:58.272852 : Epoch  7, Batch    813, Loss  1.213373, Average Loss  1.194270, Time  0.439069
2021-09-27 15:18:04.193892 : Epoch  7, Batch    814, Loss  1.196869, Average Loss  1.194287, Time  0.443780
2021-09-27 15:18:10.121446 : Epoch  7, Batch    815, Loss  1.189504, Average Loss  1.194313, Time  0.439636
2021-09-27 15:18:16.055423 : Epoch  7, Batch    816, Loss  1.221784, Average Loss  1.194333, Time  0.441467
2021-09-27 15:18:21.980725 : Epoch  7, Batch    817, Loss  1.201395, Average Loss  1.194309, Time  0.440442
2021-09-27 15:18:27.890049 : Epoch  7, Batch    818, Loss  1.201187, Average Loss  1.194410, Time  0.441667
2021-09-27 15:18:33.807835 : Epoch  7, Batch    819, Loss  1.176579, Average Loss  1.194367, Time  0.439200
2021-09-27 15:18:39.755113 : Epoch  7, Batch    820, Loss  1.189562, Average Loss  1.194354, Time  0.456384
2021-09-27 15:18:45.682792 : Epoch  7, Batch    821, Loss  1.193645, Average Loss  1.194333, Time  0.441228
2021-09-27 15:18:51.623573 : Epoch  7, Batch    822, Loss  1.191835, Average Loss  1.194291, Time  0.443007
2021-09-27 15:18:57.531791 : Epoch  7, Batch    823, Loss  1.214843, Average Loss  1.194404, Time  0.438617
2021-09-27 15:19:03.455921 : Epoch  7, Batch    824, Loss  1.182848, Average Loss  1.194335, Time  0.439014
2021-09-27 15:19:09.384095 : Epoch  7, Batch    825, Loss  1.207751, Average Loss  1.194446, Time  0.440587
2021-09-27 15:19:15.317727 : Epoch  7, Batch    826, Loss  1.202331, Average Loss  1.194491, Time  0.439899
2021-09-27 15:19:21.265789 : Epoch  7, Batch    827, Loss  1.194547, Average Loss  1.194434, Time  0.439716
2021-09-27 15:19:27.180475 : Epoch  7, Batch    828, Loss  1.187054, Average Loss  1.194441, Time  0.446069
2021-09-27 15:19:33.076094 : Epoch  7, Batch    829, Loss  1.195832, Average Loss  1.194393, Time  0.439032
2021-09-27 15:19:39.008828 : Epoch  7, Batch    830, Loss  1.195668, Average Loss  1.194340, Time  0.439330
2021-09-27 15:19:44.912911 : Epoch  7, Batch    831, Loss  1.188836, Average Loss  1.194276, Time  0.441159
2021-09-27 15:19:50.841310 : Epoch  7, Batch    832, Loss  1.188200, Average Loss  1.194236, Time  0.440827
2021-09-27 15:24:29.343750 : CheckPoint: Validation Loss  0.00020829, Best Loss  0.00020384
2021-09-27 15:24:35.288096 : Epoch  7, Batch    833, Loss  1.191607, Average Loss  1.194157, Time  0.439747
2021-09-27 15:24:41.212870 : Epoch  7, Batch    834, Loss  1.200053, Average Loss  1.194239, Time  0.438679
2021-09-27 15:24:47.155366 : Epoch  7, Batch    835, Loss  1.194666, Average Loss  1.194257, Time  0.450568
2021-09-27 15:24:53.110057 : Epoch  7, Batch    836, Loss  1.199134, Average Loss  1.194310, Time  0.441094
2021-09-27 15:24:59.057285 : Epoch  7, Batch    837, Loss  1.196328, Average Loss  1.194253, Time  0.439629
2021-09-27 15:25:04.989908 : Epoch  7, Batch    838, Loss  1.193326, Average Loss  1.194234, Time  0.439758
2021-09-27 15:25:10.925609 : Epoch  7, Batch    839, Loss  1.200825, Average Loss  1.194295, Time  0.438644
2021-09-27 15:25:16.861555 : Epoch  7, Batch    840, Loss  1.205324, Average Loss  1.194386, Time  0.439036
2021-09-27 15:25:22.815779 : Epoch  7, Batch    841, Loss  1.173231, Average Loss  1.194298, Time  0.441151
2021-09-27 15:25:28.753661 : Epoch  7, Batch    842, Loss  1.186853, Average Loss  1.194268, Time  0.441243
2021-09-27 15:25:34.713428 : Epoch  7, Batch    843, Loss  1.195381, Average Loss  1.194259, Time  0.455764
2021-09-27 15:25:40.662706 : Epoch  7, Batch    844, Loss  1.191262, Average Loss  1.194245, Time  0.440679
2021-09-27 15:25:46.600253 : Epoch  7, Batch    845, Loss  1.189591, Average Loss  1.194246, Time  0.439968
2021-09-27 15:25:52.545516 : Epoch  7, Batch    846, Loss  1.179669, Average Loss  1.194043, Time  0.444299
2021-09-27 15:25:58.486672 : Epoch  7, Batch    847, Loss  1.191726, Average Loss  1.193994, Time  0.439680
2021-09-27 15:26:04.423838 : Epoch  7, Batch    848, Loss  1.183808, Average Loss  1.193939, Time  0.438900
2021-09-27 15:26:10.370565 : Epoch  7, Batch    849, Loss  1.193158, Average Loss  1.193846, Time  0.442279
2021-09-27 15:26:16.312254 : Epoch  7, Batch    850, Loss  1.210114, Average Loss  1.193985, Time  0.440242
2021-09-27 15:26:22.250733 : Epoch  7, Batch    851, Loss  1.196114, Average Loss  1.194012, Time  0.454757
2021-09-27 15:26:28.184247 : Epoch  7, Batch    852, Loss  1.204506, Average Loss  1.194115, Time  0.439327
2021-09-27 15:26:34.117603 : Epoch  7, Batch    853, Loss  1.200799, Average Loss  1.194214, Time  0.440588
2021-09-27 15:26:40.055241 : Epoch  7, Batch    854, Loss  1.200681, Average Loss  1.194234, Time  0.440383
2021-09-27 15:26:45.995761 : Epoch  7, Batch    855, Loss  1.198557, Average Loss  1.194276, Time  0.441955
2021-09-27 15:26:51.933733 : Epoch  7, Batch    856, Loss  1.208691, Average Loss  1.194282, Time  0.439453
2021-09-27 15:26:57.871844 : Epoch  7, Batch    857, Loss  1.180298, Average Loss  1.194299, Time  0.441439
2021-09-27 15:27:03.816294 : Epoch  7, Batch    858, Loss  1.200464, Average Loss  1.194401, Time  0.440577
2021-09-27 15:27:09.778244 : Epoch  7, Batch    859, Loss  1.206610, Average Loss  1.194530, Time  0.449372
2021-09-27 15:27:15.712683 : Epoch  7, Batch    860, Loss  1.206737, Average Loss  1.194654, Time  0.439049
2021-09-27 15:27:21.661945 : Epoch  7, Batch    861, Loss  1.198493, Average Loss  1.194678, Time  0.439193
2021-09-27 15:27:27.618390 : Epoch  7, Batch    862, Loss  1.214728, Average Loss  1.194843, Time  0.442495
2021-09-27 15:27:33.559148 : Epoch  7, Batch    863, Loss  1.191501, Average Loss  1.194909, Time  0.438556
2021-09-27 15:27:39.496763 : Epoch  7, Batch    864, Loss  1.207720, Average Loss  1.195036, Time  0.439148
2021-09-27 15:27:45.440641 : Epoch  7, Batch    865, Loss  1.186652, Average Loss  1.195051, Time  0.439709
2021-09-27 15:27:51.365949 : Epoch  7, Batch    866, Loss  1.196729, Average Loss  1.195037, Time  0.440946
2021-09-27 15:27:57.310821 : Epoch  7, Batch    867, Loss  1.210106, Average Loss  1.195156, Time  0.454226
2021-09-27 15:28:03.254547 : Epoch  7, Batch    868, Loss  1.187017, Average Loss  1.195082, Time  0.438990
2021-09-27 15:28:09.195913 : Epoch  7, Batch    869, Loss  1.192845, Average Loss  1.195090, Time  0.440284
2021-09-27 15:28:15.140772 : Epoch  7, Batch    870, Loss  1.191157, Average Loss  1.195132, Time  0.441231
2021-09-27 15:28:21.066140 : Epoch  7, Batch    871, Loss  1.186865, Average Loss  1.195158, Time  0.440174
2021-09-27 15:28:26.995569 : Epoch  7, Batch    872, Loss  1.180442, Average Loss  1.195056, Time  0.441104
2021-09-27 15:28:32.946419 : Epoch  7, Batch    873, Loss  1.189969, Average Loss  1.195007, Time  0.440609
2021-09-27 15:28:38.873819 : Epoch  7, Batch    874, Loss  1.191247, Average Loss  1.195010, Time  0.438478
2021-09-27 15:28:44.825757 : Epoch  7, Batch    875, Loss  1.191511, Average Loss  1.194989, Time  0.449495
2021-09-27 15:28:50.752133 : Epoch  7, Batch    876, Loss  1.188427, Average Loss  1.194947, Time  0.439610
2021-09-27 15:28:56.676209 : Epoch  7, Batch    877, Loss  1.192270, Average Loss  1.194935, Time  0.441358
2021-09-27 15:29:02.632270 : Epoch  7, Batch    878, Loss  1.187809, Average Loss  1.194835, Time  0.440017
2021-09-27 15:29:08.570808 : Epoch  7, Batch    879, Loss  1.195948, Average Loss  1.194801, Time  0.440087
2021-09-27 15:29:14.503654 : Epoch  7, Batch    880, Loss  1.193604, Average Loss  1.194737, Time  0.444804
2021-09-27 15:29:20.461847 : Epoch  7, Batch    881, Loss  1.197882, Average Loss  1.194748, Time  0.438996
2021-09-27 15:29:26.400875 : Epoch  7, Batch    882, Loss  1.175704, Average Loss  1.194720, Time  0.442078
2021-09-27 15:29:32.357708 : Epoch  7, Batch    883, Loss  1.213881, Average Loss  1.194771, Time  0.457669
2021-09-27 15:29:38.275898 : Epoch  7, Batch    884, Loss  1.201512, Average Loss  1.194785, Time  0.438911
2021-09-27 15:29:44.217522 : Epoch  7, Batch    885, Loss  1.180461, Average Loss  1.194677, Time  0.439300
2021-09-27 15:29:50.137826 : Epoch  7, Batch    886, Loss  1.198431, Average Loss  1.194717, Time  0.439601
2021-09-27 15:29:56.086767 : Epoch  7, Batch    887, Loss  1.198699, Average Loss  1.194742, Time  0.440248
2021-09-27 15:30:02.021814 : Epoch  7, Batch    888, Loss  1.192843, Average Loss  1.194788, Time  0.439628
2021-09-27 15:30:07.955829 : Epoch  7, Batch    889, Loss  1.196985, Average Loss  1.194749, Time  0.438899
2021-09-27 15:30:13.913595 : Epoch  7, Batch    890, Loss  1.189896, Average Loss  1.194735, Time  0.440119
2021-09-27 15:30:19.859781 : Epoch  7, Batch    891, Loss  1.192750, Average Loss  1.194770, Time  0.454654
2021-09-27 15:30:25.804347 : Epoch  7, Batch    892, Loss  1.196037, Average Loss  1.194724, Time  0.439827
2021-09-27 15:30:31.743823 : Epoch  7, Batch    893, Loss  1.196534, Average Loss  1.194748, Time  0.439028
2021-09-27 15:30:37.660873 : Epoch  7, Batch    894, Loss  1.177656, Average Loss  1.194727, Time  0.442597
2021-09-27 15:30:43.611765 : Epoch  7, Batch    895, Loss  1.200613, Average Loss  1.194790, Time  0.440465
2021-09-27 15:30:49.518910 : Epoch  7, Batch    896, Loss  1.194402, Average Loss  1.194839, Time  0.439028
2021-09-27 15:30:55.466823 : Epoch  7, Batch    897, Loss  1.197658, Average Loss  1.194857, Time  0.439510
2021-09-27 15:31:01.419483 : Epoch  7, Batch    898, Loss  1.200426, Average Loss  1.194914, Time  0.438963
2021-09-27 15:31:07.345270 : Epoch  7, Batch    899, Loss  1.176167, Average Loss  1.194800, Time  0.452150
2021-09-27 15:31:13.272340 : Epoch  7, Batch    900, Loss  1.199322, Average Loss  1.194860, Time  0.439260
2021-09-27 15:31:19.240842 : Epoch  7, Batch    901, Loss  1.198122, Average Loss  1.194805, Time  0.442257
2021-09-27 15:31:25.198933 : Epoch  7, Batch    902, Loss  1.201756, Average Loss  1.194842, Time  0.440333
2021-09-27 15:31:31.127010 : Epoch  7, Batch    903, Loss  1.184944, Average Loss  1.194810, Time  0.440614
2021-09-27 15:31:37.073776 : Epoch  7, Batch    904, Loss  1.192244, Average Loss  1.194842, Time  0.440088
2021-09-27 15:31:43.014142 : Epoch  7, Batch    905, Loss  1.177070, Average Loss  1.194741, Time  0.441882
2021-09-27 15:31:48.946775 : Epoch  7, Batch    906, Loss  1.206291, Average Loss  1.194776, Time  0.440442
2021-09-27 15:31:54.881673 : Epoch  7, Batch    907, Loss  1.192474, Average Loss  1.194736, Time  0.445365
2021-09-27 15:32:00.821105 : Epoch  7, Batch    908, Loss  1.215240, Average Loss  1.194920, Time  0.441302
2021-09-27 15:32:06.757152 : Epoch  7, Batch    909, Loss  1.188410, Average Loss  1.194860, Time  0.439269
2021-09-27 15:32:12.695839 : Epoch  7, Batch    910, Loss  1.207499, Average Loss  1.194971, Time  0.442307
2021-09-27 15:32:18.636436 : Epoch  7, Batch    911, Loss  1.191316, Average Loss  1.194969, Time  0.440715
2021-09-27 15:32:24.577758 : Epoch  7, Batch    912, Loss  1.194292, Average Loss  1.195061, Time  0.441343
2021-09-27 15:32:30.526352 : Epoch  7, Batch    913, Loss  1.213908, Average Loss  1.195129, Time  0.439696
2021-09-27 15:32:36.476576 : Epoch  7, Batch    914, Loss  1.194573, Average Loss  1.195151, Time  0.439849
2021-09-27 15:32:42.454969 : Epoch  7, Batch    915, Loss  1.188280, Average Loss  1.195022, Time  0.453242
2021-09-27 15:32:48.429903 : Epoch  7, Batch    916, Loss  1.188891, Average Loss  1.194866, Time  0.441057
2021-09-27 15:32:54.371803 : Epoch  7, Batch    917, Loss  1.188940, Average Loss  1.194839, Time  0.441217
2021-09-27 15:33:00.297993 : Epoch  7, Batch    918, Loss  1.184365, Average Loss  1.194737, Time  0.439820
2021-09-27 15:33:06.226041 : Epoch  7, Batch    919, Loss  1.186555, Average Loss  1.194708, Time  0.440613
2021-09-27 15:33:12.183448 : Epoch  7, Batch    920, Loss  1.199317, Average Loss  1.194707, Time  0.442699
2021-09-27 15:33:18.107386 : Epoch  7, Batch    921, Loss  1.184451, Average Loss  1.194699, Time  0.441515
2021-09-27 15:33:24.065014 : Epoch  7, Batch    922, Loss  1.192432, Average Loss  1.194699, Time  0.439298
2021-09-27 15:33:30.018795 : Epoch  7, Batch    923, Loss  1.188577, Average Loss  1.194717, Time  0.456272
2021-09-27 15:33:35.959268 : Epoch  7, Batch    924, Loss  1.196714, Average Loss  1.194698, Time  0.439926
2021-09-27 15:33:41.891958 : Epoch  7, Batch    925, Loss  1.202194, Average Loss  1.194635, Time  0.438905
2021-09-27 15:33:47.823139 : Epoch  7, Batch    926, Loss  1.185040, Average Loss  1.194610, Time  0.439217
2021-09-27 15:33:53.763808 : Epoch  7, Batch    927, Loss  1.191635, Average Loss  1.194561, Time  0.441650
2021-09-27 15:33:59.707775 : Epoch  7, Batch    928, Loss  1.187816, Average Loss  1.194617, Time  0.440970
2021-09-27 15:33:59.748498 : Saving Model after 7-th Epoch.
2021-09-27 15:34:00.583532 : Epoch Finished.
2021-09-27 15:34:06.169616 : Batch Shuffled
2021-09-27 15:34:12.089766 : Epoch  8, Batch      1, Loss  1.197806, Average Loss  1.194535, Time  0.443061
2021-09-27 15:34:18.022188 : Epoch  8, Batch      2, Loss  1.179567, Average Loss  1.194388, Time  0.457276
2021-09-27 15:34:23.965804 : Epoch  8, Batch      3, Loss  1.184194, Average Loss  1.194330, Time  0.439466
2021-09-27 15:34:29.870755 : Epoch  8, Batch      4, Loss  1.194162, Average Loss  1.194402, Time  0.440995
2021-09-27 15:39:07.026252 : CheckPoint: Validation Loss  0.00020555, Best Loss  0.00020384
2021-09-27 15:39:12.944862 : Epoch  8, Batch      5, Loss  1.191534, Average Loss  1.194415, Time  0.439028
2021-09-27 15:39:18.872961 : Epoch  8, Batch      6, Loss  1.186487, Average Loss  1.194359, Time  0.442044
2021-09-27 15:39:24.788822 : Epoch  8, Batch      7, Loss  1.194154, Average Loss  1.194345, Time  0.440606
2021-09-27 15:39:30.728278 : Epoch  8, Batch      8, Loss  1.220123, Average Loss  1.194484, Time  0.441154
2021-09-27 15:39:36.646393 : Epoch  8, Batch      9, Loss  1.209030, Average Loss  1.194621, Time  0.456513
2021-09-27 15:39:42.556591 : Epoch  8, Batch     10, Loss  1.190583, Average Loss  1.194663, Time  0.439248
2021-09-27 15:39:48.479977 : Epoch  8, Batch     11, Loss  1.180598, Average Loss  1.194630, Time  0.439996
2021-09-27 15:39:54.408068 : Epoch  8, Batch     12, Loss  1.188207, Average Loss  1.194635, Time  0.439718
2021-09-27 15:40:00.337797 : Epoch  8, Batch     13, Loss  1.203884, Average Loss  1.194617, Time  0.440939
2021-09-27 15:40:06.274866 : Epoch  8, Batch     14, Loss  1.181218, Average Loss  1.194558, Time  0.440514
2021-09-27 15:40:12.241779 : Epoch  8, Batch     15, Loss  1.185745, Average Loss  1.194511, Time  0.440750
2021-09-27 15:40:18.151746 : Epoch  8, Batch     16, Loss  1.180488, Average Loss  1.194411, Time  0.439029
2021-09-27 15:40:24.083761 : Epoch  8, Batch     17, Loss  1.178261, Average Loss  1.194258, Time  0.447055
2021-09-27 15:40:29.999741 : Epoch  8, Batch     18, Loss  1.202024, Average Loss  1.194342, Time  0.439905
2021-09-27 15:40:35.925476 : Epoch  8, Batch     19, Loss  1.204779, Average Loss  1.194395, Time  0.438917
2021-09-27 15:40:41.834838 : Epoch  8, Batch     20, Loss  1.177092, Average Loss  1.194386, Time  0.442472
2021-09-27 15:40:47.758740 : Epoch  8, Batch     21, Loss  1.207250, Average Loss  1.194408, Time  0.438473
2021-09-27 15:40:53.666736 : Epoch  8, Batch     22, Loss  1.189758, Average Loss  1.194436, Time  0.442444
2021-09-27 15:40:59.570620 : Epoch  8, Batch     23, Loss  1.189703, Average Loss  1.194395, Time  0.440305
2021-09-27 15:41:05.505873 : Epoch  8, Batch     24, Loss  1.190501, Average Loss  1.194380, Time  0.442063
2021-09-27 15:41:11.436832 : Epoch  8, Batch     25, Loss  1.201245, Average Loss  1.194397, Time  0.454025
2021-09-27 15:41:17.433565 : Epoch  8, Batch     26, Loss  1.202997, Average Loss  1.194494, Time  0.446050
2021-09-27 15:41:23.371176 : Epoch  8, Batch     27, Loss  1.185353, Average Loss  1.194410, Time  0.439409
2021-09-27 15:41:29.302314 : Epoch  8, Batch     28, Loss  1.197070, Average Loss  1.194394, Time  0.440665
2021-09-27 15:41:35.242787 : Epoch  8, Batch     29, Loss  1.196794, Average Loss  1.194405, Time  0.440498
2021-09-27 15:41:41.171849 : Epoch  8, Batch     30, Loss  1.190531, Average Loss  1.194470, Time  0.439451
2021-09-27 15:41:47.102780 : Epoch  8, Batch     31, Loss  1.204489, Average Loss  1.194511, Time  0.440318
2021-09-27 15:41:53.004386 : Epoch  8, Batch     32, Loss  1.180593, Average Loss  1.194377, Time  0.440288
2021-09-27 15:41:58.941734 : Epoch  8, Batch     33, Loss  1.187195, Average Loss  1.194411, Time  0.455196
2021-09-27 15:42:04.839205 : Epoch  8, Batch     34, Loss  1.178518, Average Loss  1.194412, Time  0.438610
2021-09-27 15:42:10.776935 : Epoch  8, Batch     35, Loss  1.197271, Average Loss  1.194349, Time  0.439727
2021-09-27 15:42:16.718749 : Epoch  8, Batch     36, Loss  1.172021, Average Loss  1.194280, Time  0.440574
2021-09-27 15:42:22.674646 : Epoch  8, Batch     37, Loss  1.219783, Average Loss  1.194471, Time  0.440012
2021-09-27 15:42:28.637965 : Epoch  8, Batch     38, Loss  1.193099, Average Loss  1.194494, Time  0.441056
2021-09-27 15:42:34.565999 : Epoch  8, Batch     39, Loss  1.188706, Average Loss  1.194433, Time  0.441498
2021-09-27 15:42:40.502769 : Epoch  8, Batch     40, Loss  1.195874, Average Loss  1.194481, Time  0.439620
2021-09-27 15:42:46.450510 : Epoch  8, Batch     41, Loss  1.215630, Average Loss  1.194533, Time  0.450202
2021-09-27 15:42:52.384042 : Epoch  8, Batch     42, Loss  1.216302, Average Loss  1.194656, Time  0.442055
2021-09-27 15:42:58.292804 : Epoch  8, Batch     43, Loss  1.188831, Average Loss  1.194691, Time  0.439550
2021-09-27 15:43:04.216410 : Epoch  8, Batch     44, Loss  1.182663, Average Loss  1.194663, Time  0.438666
2021-09-27 15:43:10.148130 : Epoch  8, Batch     45, Loss  1.186198, Average Loss  1.194600, Time  0.442767
2021-09-27 15:43:16.069320 : Epoch  8, Batch     46, Loss  1.171220, Average Loss  1.194441, Time  0.439601
2021-09-27 15:43:22.009306 : Epoch  8, Batch     47, Loss  1.210405, Average Loss  1.194508, Time  0.438540
2021-09-27 15:43:27.953936 : Epoch  8, Batch     48, Loss  1.184267, Average Loss  1.194407, Time  0.440819
2021-09-27 15:43:33.892908 : Epoch  8, Batch     49, Loss  1.189113, Average Loss  1.194436, Time  0.449538
2021-09-27 15:43:39.830627 : Epoch  8, Batch     50, Loss  1.184183, Average Loss  1.194404, Time  0.440470
2021-09-27 15:43:45.790096 : Epoch  8, Batch     51, Loss  1.202634, Average Loss  1.194533, Time  0.447183
2021-09-27 15:43:51.763020 : Epoch  8, Batch     52, Loss  1.180010, Average Loss  1.194462, Time  0.439331
2021-09-27 15:43:57.688696 : Epoch  8, Batch     53, Loss  1.192673, Average Loss  1.194459, Time  0.440771
2021-09-27 15:44:03.635226 : Epoch  8, Batch     54, Loss  1.215834, Average Loss  1.194563, Time  0.440766
2021-09-27 15:44:09.574678 : Epoch  8, Batch     55, Loss  1.179547, Average Loss  1.194450, Time  0.441010
2021-09-27 15:44:15.513882 : Epoch  8, Batch     56, Loss  1.189086, Average Loss  1.194381, Time  0.445390
2021-09-27 15:44:21.465700 : Epoch  8, Batch     57, Loss  1.190955, Average Loss  1.194417, Time  0.454848
2021-09-27 15:44:27.405556 : Epoch  8, Batch     58, Loss  1.190597, Average Loss  1.194439, Time  0.444902
2021-09-27 15:44:33.373597 : Epoch  8, Batch     59, Loss  1.198710, Average Loss  1.194401, Time  0.441131
2021-09-27 15:44:39.314145 : Epoch  8, Batch     60, Loss  1.199440, Average Loss  1.194441, Time  0.444130
2021-09-27 15:44:45.281599 : Epoch  8, Batch     61, Loss  1.179412, Average Loss  1.194336, Time  0.440622
2021-09-27 15:44:51.213459 : Epoch  8, Batch     62, Loss  1.191896, Average Loss  1.194333, Time  0.440802
2021-09-27 15:44:57.162852 : Epoch  8, Batch     63, Loss  1.205137, Average Loss  1.194421, Time  0.446451
2021-09-27 15:45:03.108709 : Epoch  8, Batch     64, Loss  1.193880, Average Loss  1.194401, Time  0.441362
2021-09-27 15:45:09.075743 : Epoch  8, Batch     65, Loss  1.209098, Average Loss  1.194485, Time  0.459322
2021-09-27 15:45:15.036813 : Epoch  8, Batch     66, Loss  1.203987, Average Loss  1.194511, Time  0.440614
2021-09-27 15:45:20.976764 : Epoch  8, Batch     67, Loss  1.215166, Average Loss  1.194579, Time  0.440260
2021-09-27 15:45:26.897781 : Epoch  8, Batch     68, Loss  1.198516, Average Loss  1.194578, Time  0.439702
2021-09-27 15:45:32.822960 : Epoch  8, Batch     69, Loss  1.210934, Average Loss  1.194695, Time  0.440454
2021-09-27 15:45:38.768674 : Epoch  8, Batch     70, Loss  1.171844, Average Loss  1.194613, Time  0.440923
2021-09-27 15:45:44.739899 : Epoch  8, Batch     71, Loss  1.205446, Average Loss  1.194677, Time  0.440264
2021-09-27 15:45:50.685238 : Epoch  8, Batch     72, Loss  1.215245, Average Loss  1.194731, Time  0.440450
2021-09-27 15:45:56.672908 : Epoch  8, Batch     73, Loss  1.173599, Average Loss  1.194625, Time  0.456691
2021-09-27 15:46:02.621261 : Epoch  8, Batch     74, Loss  1.204597, Average Loss  1.194657, Time  0.439694
2021-09-27 15:46:08.597467 : Epoch  8, Batch     75, Loss  1.190889, Average Loss  1.194666, Time  0.441343
2021-09-27 15:46:14.547772 : Epoch  8, Batch     76, Loss  1.197413, Average Loss  1.194634, Time  0.441069
2021-09-27 15:46:20.486851 : Epoch  8, Batch     77, Loss  1.196296, Average Loss  1.194667, Time  0.440899
2021-09-27 15:46:26.428779 : Epoch  8, Batch     78, Loss  1.187753, Average Loss  1.194547, Time  0.440587
2021-09-27 15:46:32.336191 : Epoch  8, Batch     79, Loss  1.183563, Average Loss  1.194461, Time  0.441323
2021-09-27 15:46:38.286111 : Epoch  8, Batch     80, Loss  1.196641, Average Loss  1.194376, Time  0.457179
2021-09-27 15:46:44.234857 : Epoch  8, Batch     81, Loss  1.194682, Average Loss  1.194338, Time  0.441404
2021-09-27 15:46:50.178161 : Epoch  8, Batch     82, Loss  1.183361, Average Loss  1.194256, Time  0.439861
2021-09-27 15:46:56.125720 : Epoch  8, Batch     83, Loss  1.194943, Average Loss  1.194218, Time  0.442791
2021-09-27 15:47:02.061119 : Epoch  8, Batch     84, Loss  1.180418, Average Loss  1.194206, Time  0.443780
2021-09-27 15:47:07.998588 : Epoch  8, Batch     85, Loss  1.197960, Average Loss  1.194128, Time  0.442684
2021-09-27 15:47:13.945239 : Epoch  8, Batch     86, Loss  1.198546, Average Loss  1.194137, Time  0.441224
2021-09-27 15:47:19.930067 : Epoch  8, Batch     87, Loss  1.203126, Average Loss  1.194205, Time  0.440069
2021-09-27 15:47:25.870150 : Epoch  8, Batch     88, Loss  1.181370, Average Loss  1.194003, Time  0.449806
2021-09-27 15:47:31.784591 : Epoch  8, Batch     89, Loss  1.201383, Average Loss  1.194003, Time  0.440568
2021-09-27 15:47:37.715819 : Epoch  8, Batch     90, Loss  1.192250, Average Loss  1.193958, Time  0.440415
2021-09-27 15:47:43.653969 : Epoch  8, Batch     91, Loss  1.191755, Average Loss  1.194034, Time  0.441170
2021-09-27 15:47:49.598528 : Epoch  8, Batch     92, Loss  1.201223, Average Loss  1.194092, Time  0.439697
2021-09-27 15:47:55.530337 : Epoch  8, Batch     93, Loss  1.198913, Average Loss  1.194119, Time  0.442605
2021-09-27 15:48:01.445340 : Epoch  8, Batch     94, Loss  1.202577, Average Loss  1.194172, Time  0.445093
2021-09-27 15:48:07.366590 : Epoch  8, Batch     95, Loss  1.198145, Average Loss  1.194089, Time  0.441315
2021-09-27 15:48:13.309733 : Epoch  8, Batch     96, Loss  1.196073, Average Loss  1.194155, Time  0.450431
2021-09-27 15:48:19.248118 : Epoch  8, Batch     97, Loss  1.190104, Average Loss  1.194067, Time  0.439599
2021-09-27 15:48:25.176828 : Epoch  8, Batch     98, Loss  1.179628, Average Loss  1.193953, Time  0.439357
2021-09-27 15:48:31.085942 : Epoch  8, Batch     99, Loss  1.222003, Average Loss  1.194091, Time  0.441086
2021-09-27 15:48:37.020220 : Epoch  8, Batch    100, Loss  1.201128, Average Loss  1.194161, Time  0.439373
2021-09-27 15:48:42.945361 : Epoch  8, Batch    101, Loss  1.176150, Average Loss  1.194062, Time  0.439479
2021-09-27 15:48:48.873219 : Epoch  8, Batch    102, Loss  1.192412, Average Loss  1.194046, Time  0.438951
2021-09-27 15:48:54.829538 : Epoch  8, Batch    103, Loss  1.184960, Average Loss  1.194027, Time  0.439654
2021-09-27 15:49:00.759821 : Epoch  8, Batch    104, Loss  1.192705, Average Loss  1.194049, Time  0.453932
2021-09-27 15:53:38.824673 : CheckPoint: Validation Loss  0.00020284, Best Loss  0.00020284
2021-09-27 15:53:38.860666 : Best Model Updated
2021-09-27 15:53:45.481969 : Epoch  8, Batch    105, Loss  1.208921, Average Loss  1.194136, Time  0.444498
2021-09-27 15:53:51.443805 : Epoch  8, Batch    106, Loss  1.196979, Average Loss  1.194121, Time  0.439206
2021-09-27 15:53:57.387506 : Epoch  8, Batch    107, Loss  1.210401, Average Loss  1.194199, Time  0.440725
2021-09-27 15:54:03.331358 : Epoch  8, Batch    108, Loss  1.187506, Average Loss  1.194141, Time  0.441803
2021-09-27 15:54:09.281396 : Epoch  8, Batch    109, Loss  1.189293, Average Loss  1.194106, Time  0.438847
2021-09-27 15:54:15.218928 : Epoch  8, Batch    110, Loss  1.182609, Average Loss  1.194052, Time  0.440806
2021-09-27 15:54:21.158112 : Epoch  8, Batch    111, Loss  1.180885, Average Loss  1.193953, Time  0.449810
2021-09-27 15:54:27.110989 : Epoch  8, Batch    112, Loss  1.194263, Average Loss  1.193897, Time  0.447639
2021-09-27 15:54:33.075866 : Epoch  8, Batch    113, Loss  1.192652, Average Loss  1.193994, Time  0.441905
2021-09-27 15:54:39.010920 : Epoch  8, Batch    114, Loss  1.199311, Average Loss  1.194057, Time  0.440277
2021-09-27 15:54:44.928345 : Epoch  8, Batch    115, Loss  1.186828, Average Loss  1.194014, Time  0.440022
2021-09-27 15:54:50.873740 : Epoch  8, Batch    116, Loss  1.207139, Average Loss  1.194093, Time  0.439135
2021-09-27 15:54:56.791013 : Epoch  8, Batch    117, Loss  1.191230, Average Loss  1.194102, Time  0.440144
2021-09-27 15:55:02.727578 : Epoch  8, Batch    118, Loss  1.199689, Average Loss  1.194202, Time  0.440514
2021-09-27 15:55:08.652772 : Epoch  8, Batch    119, Loss  1.181638, Average Loss  1.194151, Time  0.445165
2021-09-27 15:55:14.584795 : Epoch  8, Batch    120, Loss  1.191261, Average Loss  1.194188, Time  0.439029
2021-09-27 15:55:20.528985 : Epoch  8, Batch    121, Loss  1.205517, Average Loss  1.194250, Time  0.441022
2021-09-27 15:55:26.452304 : Epoch  8, Batch    122, Loss  1.197948, Average Loss  1.194189, Time  0.439339
2021-09-27 15:55:32.387828 : Epoch  8, Batch    123, Loss  1.200077, Average Loss  1.194209, Time  0.440121
2021-09-27 15:55:38.333876 : Epoch  8, Batch    124, Loss  1.213217, Average Loss  1.194253, Time  0.443647
2021-09-27 15:55:44.252497 : Epoch  8, Batch    125, Loss  1.193968, Average Loss  1.194219, Time  0.438475
2021-09-27 15:55:50.193437 : Epoch  8, Batch    126, Loss  1.195646, Average Loss  1.194193, Time  0.452410
2021-09-27 15:55:56.113752 : Epoch  8, Batch    127, Loss  1.196588, Average Loss  1.194184, Time  0.440876
2021-09-27 15:56:02.041504 : Epoch  8, Batch    128, Loss  1.203152, Average Loss  1.194156, Time  0.441631
2021-09-27 15:56:07.953419 : Epoch  8, Batch    129, Loss  1.199956, Average Loss  1.194254, Time  0.440565
2021-09-27 15:56:13.895805 : Epoch  8, Batch    130, Loss  1.182483, Average Loss  1.194164, Time  0.443194
2021-09-27 15:56:19.821562 : Epoch  8, Batch    131, Loss  1.195474, Average Loss  1.194109, Time  0.440044
2021-09-27 15:56:25.761926 : Epoch  8, Batch    132, Loss  1.210639, Average Loss  1.194128, Time  0.440829
2021-09-27 15:56:31.705820 : Epoch  8, Batch    133, Loss  1.207245, Average Loss  1.194172, Time  0.439191
2021-09-27 15:56:37.653674 : Epoch  8, Batch    134, Loss  1.190365, Average Loss  1.194050, Time  0.453853
2021-09-27 15:56:43.603233 : Epoch  8, Batch    135, Loss  1.203541, Average Loss  1.194110, Time  0.441338
2021-09-27 15:56:49.535397 : Epoch  8, Batch    136, Loss  1.193926, Average Loss  1.194041, Time  0.441221
2021-09-27 15:56:55.470021 : Epoch  8, Batch    137, Loss  1.186072, Average Loss  1.194038, Time  0.440309
2021-09-27 15:57:01.412968 : Epoch  8, Batch    138, Loss  1.206430, Average Loss  1.194087, Time  0.438893
2021-09-27 15:57:07.352143 : Epoch  8, Batch    139, Loss  1.197100, Average Loss  1.194022, Time  0.441341
2021-09-27 15:57:13.283636 : Epoch  8, Batch    140, Loss  1.187946, Average Loss  1.194027, Time  0.438898
2021-09-27 15:57:19.219638 : Epoch  8, Batch    141, Loss  1.168267, Average Loss  1.193904, Time  0.439332
2021-09-27 15:57:25.180847 : Epoch  8, Batch    142, Loss  1.201934, Average Loss  1.193957, Time  0.447200
2021-09-27 15:57:31.103699 : Epoch  8, Batch    143, Loss  1.174245, Average Loss  1.193894, Time  0.439381
2021-09-27 15:57:37.019796 : Epoch  8, Batch    144, Loss  1.183968, Average Loss  1.193912, Time  0.438504
2021-09-27 15:57:42.963949 : Epoch  8, Batch    145, Loss  1.189574, Average Loss  1.193910, Time  0.442378
2021-09-27 15:57:48.891430 : Epoch  8, Batch    146, Loss  1.190064, Average Loss  1.193904, Time  0.438899
2021-09-27 15:57:54.839879 : Epoch  8, Batch    147, Loss  1.195328, Average Loss  1.193923, Time  0.442570
2021-09-27 15:58:00.780272 : Epoch  8, Batch    148, Loss  1.180973, Average Loss  1.193886, Time  0.442671
2021-09-27 15:58:06.714283 : Epoch  8, Batch    149, Loss  1.206734, Average Loss  1.193958, Time  0.440087
2021-09-27 15:58:12.647185 : Epoch  8, Batch    150, Loss  1.179998, Average Loss  1.193919, Time  0.445941
2021-09-27 15:58:18.589520 : Epoch  8, Batch    151, Loss  1.187596, Average Loss  1.193877, Time  0.443950
2021-09-27 15:58:24.569632 : Epoch  8, Batch    152, Loss  1.199150, Average Loss  1.193905, Time  0.440014
2021-09-27 15:58:30.511966 : Epoch  8, Batch    153, Loss  1.195421, Average Loss  1.193893, Time  0.443650
2021-09-27 15:58:36.433708 : Epoch  8, Batch    154, Loss  1.201927, Average Loss  1.194024, Time  0.440339
2021-09-27 15:58:42.374861 : Epoch  8, Batch    155, Loss  1.188625, Average Loss  1.193898, Time  0.439341
2021-09-27 15:58:48.316978 : Epoch  8, Batch    156, Loss  1.189756, Average Loss  1.193839, Time  0.441182
2021-09-27 15:58:54.258112 : Epoch  8, Batch    157, Loss  1.178289, Average Loss  1.193828, Time  0.447067
2021-09-27 15:59:00.180155 : Epoch  8, Batch    158, Loss  1.195684, Average Loss  1.193814, Time  0.441808
2021-09-27 15:59:06.100831 : Epoch  8, Batch    159, Loss  1.196996, Average Loss  1.193806, Time  0.440127
2021-09-27 15:59:12.045787 : Epoch  8, Batch    160, Loss  1.203024, Average Loss  1.193857, Time  0.440527
2021-09-27 15:59:17.971165 : Epoch  8, Batch    161, Loss  1.178350, Average Loss  1.193764, Time  0.439647
2021-09-27 15:59:23.895770 : Epoch  8, Batch    162, Loss  1.194432, Average Loss  1.193786, Time  0.440961
2021-09-27 15:59:29.826826 : Epoch  8, Batch    163, Loss  1.182905, Average Loss  1.193737, Time  0.440400
2021-09-27 15:59:35.757348 : Epoch  8, Batch    164, Loss  1.201719, Average Loss  1.193765, Time  0.441316
2021-09-27 15:59:41.702041 : Epoch  8, Batch    165, Loss  1.204533, Average Loss  1.193805, Time  0.449319
2021-09-27 15:59:47.643987 : Epoch  8, Batch    166, Loss  1.190323, Average Loss  1.193869, Time  0.439138
2021-09-27 15:59:53.589364 : Epoch  8, Batch    167, Loss  1.205697, Average Loss  1.193894, Time  0.440204
2021-09-27 15:59:59.538334 : Epoch  8, Batch    168, Loss  1.203415, Average Loss  1.193939, Time  0.441188
2021-09-27 16:00:05.452387 : Epoch  8, Batch    169, Loss  1.200145, Average Loss  1.193952, Time  0.444074
2021-09-27 16:00:11.378572 : Epoch  8, Batch    170, Loss  1.207278, Average Loss  1.193986, Time  0.438972
2021-09-27 16:00:17.293163 : Epoch  8, Batch    171, Loss  1.184970, Average Loss  1.194030, Time  0.438895
2021-09-27 16:00:23.209462 : Epoch  8, Batch    172, Loss  1.201670, Average Loss  1.194042, Time  0.439570
2021-09-27 16:00:29.158859 : Epoch  8, Batch    173, Loss  1.196273, Average Loss  1.194032, Time  0.449128
2021-09-27 16:00:35.097875 : Epoch  8, Batch    174, Loss  1.203160, Average Loss  1.194039, Time  0.441254
2021-09-27 16:00:41.020036 : Epoch  8, Batch    175, Loss  1.202224, Average Loss  1.194126, Time  0.443996
2021-09-27 16:00:46.952730 : Epoch  8, Batch    176, Loss  1.190681, Average Loss  1.194118, Time  0.441627
2021-09-27 16:00:52.880831 : Epoch  8, Batch    177, Loss  1.208158, Average Loss  1.194273, Time  0.441949
2021-09-27 16:00:58.816031 : Epoch  8, Batch    178, Loss  1.192991, Average Loss  1.194207, Time  0.441520
2021-09-27 16:01:04.746884 : Epoch  8, Batch    179, Loss  1.192096, Average Loss  1.194205, Time  0.443388
2021-09-27 16:01:10.699154 : Epoch  8, Batch    180, Loss  1.188039, Average Loss  1.194069, Time  0.439332
2021-09-27 16:01:16.644833 : Epoch  8, Batch    181, Loss  1.202616, Average Loss  1.194140, Time  0.446350
2021-09-27 16:01:22.567041 : Epoch  8, Batch    182, Loss  1.188604, Average Loss  1.194046, Time  0.441954
2021-09-27 16:01:28.490837 : Epoch  8, Batch    183, Loss  1.197904, Average Loss  1.194079, Time  0.439606
2021-09-27 16:01:34.423806 : Epoch  8, Batch    184, Loss  1.192945, Average Loss  1.194072, Time  0.444692
2021-09-27 16:01:40.324896 : Epoch  8, Batch    185, Loss  1.184757, Average Loss  1.193926, Time  0.440261
2021-09-27 16:01:46.248558 : Epoch  8, Batch    186, Loss  1.215234, Average Loss  1.194029, Time  0.439036
2021-09-27 16:01:52.171738 : Epoch  8, Batch    187, Loss  1.188101, Average Loss  1.194029, Time  0.441875
2021-09-27 16:01:58.112800 : Epoch  8, Batch    188, Loss  1.187922, Average Loss  1.194024, Time  0.454931
2021-09-27 16:02:04.030682 : Epoch  8, Batch    189, Loss  1.190035, Average Loss  1.194029, Time  0.438753
2021-09-27 16:02:09.949511 : Epoch  8, Batch    190, Loss  1.186774, Average Loss  1.194041, Time  0.439246
2021-09-27 16:02:15.899817 : Epoch  8, Batch    191, Loss  1.190655, Average Loss  1.194062, Time  0.440084
2021-09-27 16:02:21.832147 : Epoch  8, Batch    192, Loss  1.196880, Average Loss  1.194049, Time  0.440880
2021-09-27 16:02:27.764653 : Epoch  8, Batch    193, Loss  1.179035, Average Loss  1.194022, Time  0.441944
2021-09-27 16:02:33.690772 : Epoch  8, Batch    194, Loss  1.191306, Average Loss  1.194017, Time  0.438433
2021-09-27 16:02:39.632690 : Epoch  8, Batch    195, Loss  1.194339, Average Loss  1.194046, Time  0.439925
2021-09-27 16:02:45.596497 : Epoch  8, Batch    196, Loss  1.189309, Average Loss  1.194009, Time  0.456033
2021-09-27 16:02:51.534791 : Epoch  8, Batch    197, Loss  1.190420, Average Loss  1.193950, Time  0.442047
2021-09-27 16:02:57.467527 : Epoch  8, Batch    198, Loss  1.180567, Average Loss  1.193927, Time  0.439376
2021-09-27 16:03:03.404079 : Epoch  8, Batch    199, Loss  1.195353, Average Loss  1.193946, Time  0.440062
2021-09-27 16:03:09.359590 : Epoch  8, Batch    200, Loss  1.195813, Average Loss  1.193986, Time  0.441485
2021-09-27 16:03:15.275466 : Epoch  8, Batch    201, Loss  1.199277, Average Loss  1.193993, Time  0.438737
2021-09-27 16:03:21.197443 : Epoch  8, Batch    202, Loss  1.207662, Average Loss  1.194134, Time  0.440063
2021-09-27 16:03:27.111793 : Epoch  8, Batch    203, Loss  1.188195, Average Loss  1.194154, Time  0.439408
2021-09-27 16:03:33.074820 : Epoch  8, Batch    204, Loss  1.196253, Average Loss  1.194164, Time  0.458299
2021-09-27 16:08:11.410810 : CheckPoint: Validation Loss  0.00020670, Best Loss  0.00020284
2021-09-27 16:08:17.365949 : Epoch  8, Batch    205, Loss  1.190894, Average Loss  1.194161, Time  0.439748
2021-09-27 16:08:23.293735 : Epoch  8, Batch    206, Loss  1.205154, Average Loss  1.194254, Time  0.438109
2021-09-27 16:08:29.226975 : Epoch  8, Batch    207, Loss  1.179089, Average Loss  1.194179, Time  0.442106
2021-09-27 16:08:35.158781 : Epoch  8, Batch    208, Loss  1.195713, Average Loss  1.194057, Time  0.439898
2021-09-27 16:08:41.100504 : Epoch  8, Batch    209, Loss  1.187023, Average Loss  1.193947, Time  0.439870
2021-09-27 16:08:47.034905 : Epoch  8, Batch    210, Loss  1.175275, Average Loss  1.193870, Time  0.440758
2021-09-27 16:08:52.987897 : Epoch  8, Batch    211, Loss  1.194067, Average Loss  1.193938, Time  0.455765
2021-09-27 16:08:58.925975 : Epoch  8, Batch    212, Loss  1.190184, Average Loss  1.193948, Time  0.439442
2021-09-27 16:09:04.859420 : Epoch  8, Batch    213, Loss  1.184606, Average Loss  1.193851, Time  0.444406
2021-09-27 16:09:10.776463 : Epoch  8, Batch    214, Loss  1.193893, Average Loss  1.193915, Time  0.441878
2021-09-27 16:09:16.694853 : Epoch  8, Batch    215, Loss  1.183819, Average Loss  1.193905, Time  0.441006
2021-09-27 16:09:22.622968 : Epoch  8, Batch    216, Loss  1.183125, Average Loss  1.193918, Time  0.441360
2021-09-27 16:09:28.556257 : Epoch  8, Batch    217, Loss  1.204062, Average Loss  1.194047, Time  0.438559
2021-09-27 16:09:34.478763 : Epoch  8, Batch    218, Loss  1.205410, Average Loss  1.194064, Time  0.439853
2021-09-27 16:09:40.424716 : Epoch  8, Batch    219, Loss  1.199125, Average Loss  1.194036, Time  0.455375
2021-09-27 16:09:46.358604 : Epoch  8, Batch    220, Loss  1.183468, Average Loss  1.194068, Time  0.439742
2021-09-27 16:09:52.261601 : Epoch  8, Batch    221, Loss  1.192248, Average Loss  1.193993, Time  0.439115
2021-09-27 16:09:58.179208 : Epoch  8, Batch    222, Loss  1.181931, Average Loss  1.193954, Time  0.440803
2021-09-27 16:10:04.111692 : Epoch  8, Batch    223, Loss  1.184656, Average Loss  1.193928, Time  0.439515
2021-09-27 16:10:10.047673 : Epoch  8, Batch    224, Loss  1.201504, Average Loss  1.193983, Time  0.441210
2021-09-27 16:10:15.974705 : Epoch  8, Batch    225, Loss  1.202783, Average Loss  1.193991, Time  0.441791
2021-09-27 16:10:21.899026 : Epoch  8, Batch    226, Loss  1.186285, Average Loss  1.193907, Time  0.439425
2021-09-27 16:10:27.858791 : Epoch  8, Batch    227, Loss  1.197113, Average Loss  1.193966, Time  0.457176
2021-09-27 16:10:33.797324 : Epoch  8, Batch    228, Loss  1.193028, Average Loss  1.193946, Time  0.442140
2021-09-27 16:10:39.738364 : Epoch  8, Batch    229, Loss  1.187611, Average Loss  1.193900, Time  0.439573
2021-09-27 16:10:45.680238 : Epoch  8, Batch    230, Loss  1.195995, Average Loss  1.193927, Time  0.440543
2021-09-27 16:10:51.617714 : Epoch  8, Batch    231, Loss  1.210081, Average Loss  1.193955, Time  0.439171
2021-09-27 16:10:57.563750 : Epoch  8, Batch    232, Loss  1.196144, Average Loss  1.194033, Time  0.441751
2021-09-27 16:11:03.486599 : Epoch  8, Batch    233, Loss  1.183723, Average Loss  1.194016, Time  0.440522
2021-09-27 16:11:09.420066 : Epoch  8, Batch    234, Loss  1.202556, Average Loss  1.194136, Time  0.441374
2021-09-27 16:11:15.369212 : Epoch  8, Batch    235, Loss  1.191741, Average Loss  1.194108, Time  0.455699
2021-09-27 16:11:21.325896 : Epoch  8, Batch    236, Loss  1.213079, Average Loss  1.194314, Time  0.440532
2021-09-27 16:11:27.253547 : Epoch  8, Batch    237, Loss  1.172320, Average Loss  1.194076, Time  0.439846
2021-09-27 16:11:33.176222 : Epoch  8, Batch    238, Loss  1.191206, Average Loss  1.194067, Time  0.440646
2021-09-27 16:11:39.127397 : Epoch  8, Batch    239, Loss  1.191408, Average Loss  1.194080, Time  0.441260
2021-09-27 16:11:45.062951 : Epoch  8, Batch    240, Loss  1.193825, Average Loss  1.194070, Time  0.440058
2021-09-27 16:11:50.992626 : Epoch  8, Batch    241, Loss  1.187589, Average Loss  1.193930, Time  0.440652
2021-09-27 16:11:56.923712 : Epoch  8, Batch    242, Loss  1.203353, Average Loss  1.193865, Time  0.438579
2021-09-27 16:12:02.852380 : Epoch  8, Batch    243, Loss  1.206149, Average Loss  1.193952, Time  0.453361
2021-09-27 16:12:08.779484 : Epoch  8, Batch    244, Loss  1.184365, Average Loss  1.193960, Time  0.440881
2021-09-27 16:12:14.688845 : Epoch  8, Batch    245, Loss  1.177048, Average Loss  1.193915, Time  0.440784
2021-09-27 16:12:20.612178 : Epoch  8, Batch    246, Loss  1.180700, Average Loss  1.193962, Time  0.439950
2021-09-27 16:12:26.536659 : Epoch  8, Batch    247, Loss  1.197236, Average Loss  1.193896, Time  0.439451
2021-09-27 16:12:32.466708 : Epoch  8, Batch    248, Loss  1.200186, Average Loss  1.193976, Time  0.440293
2021-09-27 16:12:38.397559 : Epoch  8, Batch    249, Loss  1.191112, Average Loss  1.193986, Time  0.439920
2021-09-27 16:12:44.315781 : Epoch  8, Batch    250, Loss  1.189344, Average Loss  1.194011, Time  0.451163
2021-09-27 16:12:50.232113 : Epoch  8, Batch    251, Loss  1.193905, Average Loss  1.193968, Time  0.439856
2021-09-27 16:12:56.168861 : Epoch  8, Batch    252, Loss  1.177926, Average Loss  1.193957, Time  0.438760
2021-09-27 16:13:02.089313 : Epoch  8, Batch    253, Loss  1.188209, Average Loss  1.193935, Time  0.440390
2021-09-27 16:13:08.036744 : Epoch  8, Batch    254, Loss  1.190035, Average Loss  1.193806, Time  0.439467
2021-09-27 16:13:13.961859 : Epoch  8, Batch    255, Loss  1.194987, Average Loss  1.193883, Time  0.439437
2021-09-27 16:13:19.920764 : Epoch  8, Batch    256, Loss  1.213915, Average Loss  1.194007, Time  0.443297
2021-09-27 16:13:25.852706 : Epoch  8, Batch    257, Loss  1.190649, Average Loss  1.194006, Time  0.439828
2021-09-27 16:13:31.782998 : Epoch  8, Batch    258, Loss  1.190940, Average Loss  1.194008, Time  0.448382
2021-09-27 16:13:37.728984 : Epoch  8, Batch    259, Loss  1.186316, Average Loss  1.193946, Time  0.439447
2021-09-27 16:13:43.637647 : Epoch  8, Batch    260, Loss  1.176107, Average Loss  1.193829, Time  0.439522
2021-09-27 16:13:49.574910 : Epoch  8, Batch    261, Loss  1.182938, Average Loss  1.193847, Time  0.438756
2021-09-27 16:13:55.504791 : Epoch  8, Batch    262, Loss  1.206559, Average Loss  1.193920, Time  0.442521
2021-09-27 16:14:01.423892 : Epoch  8, Batch    263, Loss  1.196483, Average Loss  1.193877, Time  0.442305
2021-09-27 16:14:07.355117 : Epoch  8, Batch    264, Loss  1.203023, Average Loss  1.193922, Time  0.440058
2021-09-27 16:14:13.275262 : Epoch  8, Batch    265, Loss  1.192412, Average Loss  1.193839, Time  0.440687
2021-09-27 16:14:19.192571 : Epoch  8, Batch    266, Loss  1.186947, Average Loss  1.193754, Time  0.456348
2021-09-27 16:14:25.112977 : Epoch  8, Batch    267, Loss  1.189239, Average Loss  1.193624, Time  0.439859
2021-09-27 16:14:31.030844 : Epoch  8, Batch    268, Loss  1.166495, Average Loss  1.193464, Time  0.440302
2021-09-27 16:14:36.961230 : Epoch  8, Batch    269, Loss  1.181602, Average Loss  1.193317, Time  0.439037
2021-09-27 16:14:42.904077 : Epoch  8, Batch    270, Loss  1.196772, Average Loss  1.193442, Time  0.443048
2021-09-27 16:14:48.812794 : Epoch  8, Batch    271, Loss  1.194996, Average Loss  1.193390, Time  0.439406
2021-09-27 16:14:54.725726 : Epoch  8, Batch    272, Loss  1.198622, Average Loss  1.193307, Time  0.441974
2021-09-27 16:15:00.639967 : Epoch  8, Batch    273, Loss  1.200582, Average Loss  1.193442, Time  0.441985
2021-09-27 16:15:06.590211 : Epoch  8, Batch    274, Loss  1.197541, Average Loss  1.193406, Time  0.451724
2021-09-27 16:15:12.501744 : Epoch  8, Batch    275, Loss  1.181752, Average Loss  1.193361, Time  0.441291
2021-09-27 16:15:18.420700 : Epoch  8, Batch    276, Loss  1.188417, Average Loss  1.193316, Time  0.446249
2021-09-27 16:15:24.341107 : Epoch  8, Batch    277, Loss  1.202678, Average Loss  1.193348, Time  0.441169
2021-09-27 16:15:30.263830 : Epoch  8, Batch    278, Loss  1.186164, Average Loss  1.193340, Time  0.442397
2021-09-27 16:15:36.170837 : Epoch  8, Batch    279, Loss  1.187218, Average Loss  1.193358, Time  0.438215
2021-09-27 16:15:42.093340 : Epoch  8, Batch    280, Loss  1.195809, Average Loss  1.193354, Time  0.441428
2021-09-27 16:15:48.017906 : Epoch  8, Batch    281, Loss  1.174597, Average Loss  1.193253, Time  0.439151
2021-09-27 16:15:53.963090 : Epoch  8, Batch    282, Loss  1.178914, Average Loss  1.193231, Time  0.455017
2021-09-27 16:15:59.910771 : Epoch  8, Batch    283, Loss  1.190853, Average Loss  1.193211, Time  0.443259
2021-09-27 16:16:05.863409 : Epoch  8, Batch    284, Loss  1.189427, Average Loss  1.193256, Time  0.440578
2021-09-27 16:16:11.779969 : Epoch  8, Batch    285, Loss  1.204091, Average Loss  1.193286, Time  0.440583
2021-09-27 16:16:17.712914 : Epoch  8, Batch    286, Loss  1.189511, Average Loss  1.193241, Time  0.441818
2021-09-27 16:16:23.633862 : Epoch  8, Batch    287, Loss  1.184305, Average Loss  1.193147, Time  0.442222
2021-09-27 16:16:29.566349 : Epoch  8, Batch    288, Loss  1.182781, Average Loss  1.193154, Time  0.439624
2021-09-27 16:16:35.472503 : Epoch  8, Batch    289, Loss  1.189415, Average Loss  1.193094, Time  0.439393
2021-09-27 16:16:41.413677 : Epoch  8, Batch    290, Loss  1.203457, Average Loss  1.193150, Time  0.453501
2021-09-27 16:16:47.354031 : Epoch  8, Batch    291, Loss  1.177873, Average Loss  1.193081, Time  0.441365
2021-09-27 16:16:53.315833 : Epoch  8, Batch    292, Loss  1.207644, Average Loss  1.193113, Time  0.441163
2021-09-27 16:16:59.251593 : Epoch  8, Batch    293, Loss  1.202325, Average Loss  1.193130, Time  0.441357
2021-09-27 16:17:05.179868 : Epoch  8, Batch    294, Loss  1.197955, Average Loss  1.193107, Time  0.439261
2021-09-27 16:17:11.093191 : Epoch  8, Batch    295, Loss  1.193498, Average Loss  1.193084, Time  0.441067
2021-09-27 16:17:17.009057 : Epoch  8, Batch    296, Loss  1.184412, Average Loss  1.193025, Time  0.441695
2021-09-27 16:17:22.945940 : Epoch  8, Batch    297, Loss  1.213703, Average Loss  1.193143, Time  0.440951
2021-09-27 16:17:28.941914 : Epoch  8, Batch    298, Loss  1.202570, Average Loss  1.193258, Time  0.449562
2021-09-27 16:17:34.848324 : Epoch  8, Batch    299, Loss  1.181955, Average Loss  1.193058, Time  0.439898
2021-09-27 16:17:40.755971 : Epoch  8, Batch    300, Loss  1.198114, Average Loss  1.193043, Time  0.439729
2021-09-27 16:17:46.669149 : Epoch  8, Batch    301, Loss  1.182989, Average Loss  1.193077, Time  0.439793
2021-09-27 16:17:52.605412 : Epoch  8, Batch    302, Loss  1.215080, Average Loss  1.193190, Time  0.439553
2021-09-27 16:17:58.529232 : Epoch  8, Batch    303, Loss  1.219678, Average Loss  1.193364, Time  0.443293
2021-09-27 16:18:04.501240 : Epoch  8, Batch    304, Loss  1.183617, Average Loss  1.193318, Time  0.440089
2021-09-27 16:22:39.891082 : CheckPoint: Validation Loss  0.00020633, Best Loss  0.00020284
2021-09-27 16:22:45.536536 : Epoch  8, Batch    305, Loss  1.193031, Average Loss  1.193239, Time  0.437837
2021-09-27 16:22:51.021824 : Epoch  8, Batch    306, Loss  1.200114, Average Loss  1.193255, Time  0.451824
2021-09-27 16:22:56.231677 : Epoch  8, Batch    307, Loss  1.191149, Average Loss  1.193158, Time  0.438122
2021-09-27 16:23:01.540374 : Epoch  8, Batch    308, Loss  1.190659, Average Loss  1.193174, Time  0.437834
2021-09-27 16:23:06.927794 : Epoch  8, Batch    309, Loss  1.189566, Average Loss  1.193176, Time  0.436673
2021-09-27 16:23:12.182218 : Epoch  8, Batch    310, Loss  1.183503, Average Loss  1.193180, Time  0.436075
2021-09-27 16:23:17.409174 : Epoch  8, Batch    311, Loss  1.179226, Average Loss  1.193172, Time  0.436624
2021-09-27 16:23:22.655059 : Epoch  8, Batch    312, Loss  1.179189, Average Loss  1.193096, Time  0.435519
2021-09-27 16:23:27.933973 : Epoch  8, Batch    313, Loss  1.179288, Average Loss  1.193030, Time  0.435569
2021-09-27 16:23:33.163371 : Epoch  8, Batch    314, Loss  1.186961, Average Loss  1.192968, Time  0.436075
2021-09-27 16:23:38.701203 : Epoch  8, Batch    315, Loss  1.193273, Average Loss  1.193000, Time  0.449207
2021-09-27 16:23:44.293414 : Epoch  8, Batch    316, Loss  1.200296, Average Loss  1.192966, Time  0.437980
2021-09-27 16:23:49.959714 : Epoch  8, Batch    317, Loss  1.199103, Average Loss  1.193005, Time  0.437397
2021-09-27 16:23:55.482489 : Epoch  8, Batch    318, Loss  1.188950, Average Loss  1.192951, Time  0.435275
2021-09-27 16:24:01.046082 : Epoch  8, Batch    319, Loss  1.196802, Average Loss  1.193027, Time  0.437778
2021-09-27 16:24:06.482749 : Epoch  8, Batch    320, Loss  1.215214, Average Loss  1.193147, Time  0.437078
2021-09-27 16:24:11.844015 : Epoch  8, Batch    321, Loss  1.201885, Average Loss  1.193129, Time  0.438005
2021-09-27 16:24:17.402805 : Epoch  8, Batch    322, Loss  1.192846, Average Loss  1.193103, Time  0.437416
2021-09-27 16:24:22.722651 : Epoch  8, Batch    323, Loss  1.192695, Average Loss  1.193066, Time  0.435739
2021-09-27 16:24:27.974840 : Epoch  8, Batch    324, Loss  1.185530, Average Loss  1.192928, Time  0.450861
2021-09-27 16:24:33.350356 : Epoch  8, Batch    325, Loss  1.196493, Average Loss  1.192941, Time  0.438087
2021-09-27 16:24:38.938225 : Epoch  8, Batch    326, Loss  1.210958, Average Loss  1.193017, Time  0.437227
2021-09-27 16:24:44.238305 : Epoch  8, Batch    327, Loss  1.207188, Average Loss  1.193070, Time  0.434905
2021-09-27 16:24:49.524258 : Epoch  8, Batch    328, Loss  1.197388, Average Loss  1.193041, Time  0.436076
2021-09-27 16:24:54.785421 : Epoch  8, Batch    329, Loss  1.200516, Average Loss  1.193044, Time  0.436474
2021-09-27 16:25:00.168050 : Epoch  8, Batch    330, Loss  1.194866, Average Loss  1.193106, Time  0.436204
2021-09-27 16:25:05.458164 : Epoch  8, Batch    331, Loss  1.191967, Average Loss  1.193089, Time  0.436104
2021-09-27 16:25:10.979124 : Epoch  8, Batch    332, Loss  1.209928, Average Loss  1.193085, Time  0.435954
2021-09-27 16:25:16.460499 : Epoch  8, Batch    333, Loss  1.208989, Average Loss  1.193094, Time  0.451484
2021-09-27 16:25:21.790410 : Epoch  8, Batch    334, Loss  1.183509, Average Loss  1.193059, Time  0.435216
2021-09-27 16:25:27.057611 : Epoch  8, Batch    335, Loss  1.178460, Average Loss  1.192934, Time  0.435748
2021-09-27 16:25:32.339006 : Epoch  8, Batch    336, Loss  1.187448, Average Loss  1.192902, Time  0.437634
2021-09-27 16:25:37.661685 : Epoch  8, Batch    337, Loss  1.214666, Average Loss  1.193045, Time  0.437568
2021-09-27 16:25:43.099368 : Epoch  8, Batch    338, Loss  1.197873, Average Loss  1.193002, Time  0.435941
2021-09-27 16:25:48.392911 : Epoch  8, Batch    339, Loss  1.209669, Average Loss  1.193065, Time  0.435887
2021-09-27 16:25:53.775996 : Epoch  8, Batch    340, Loss  1.189593, Average Loss  1.193073, Time  0.437734
2021-09-27 16:25:59.113701 : Epoch  8, Batch    341, Loss  1.180043, Average Loss  1.193132, Time  0.437680
2021-09-27 16:26:04.416627 : Epoch  8, Batch    342, Loss  1.206723, Average Loss  1.193156, Time  0.451650
2021-09-27 16:26:09.708665 : Epoch  8, Batch    343, Loss  1.213021, Average Loss  1.193350, Time  0.437010
2021-09-27 16:26:15.024176 : Epoch  8, Batch    344, Loss  1.199432, Average Loss  1.193427, Time  0.435819
2021-09-27 16:26:20.321167 : Epoch  8, Batch    345, Loss  1.185820, Average Loss  1.193408, Time  0.434877
2021-09-27 16:26:25.539017 : Epoch  8, Batch    346, Loss  1.200753, Average Loss  1.193462, Time  0.435877
2021-09-27 16:26:30.991624 : Epoch  8, Batch    347, Loss  1.203894, Average Loss  1.193504, Time  0.438419
2021-09-27 16:26:36.538290 : Epoch  8, Batch    348, Loss  1.198400, Average Loss  1.193592, Time  0.438502
2021-09-27 16:26:42.215641 : Epoch  8, Batch    349, Loss  1.184659, Average Loss  1.193481, Time  0.439586
2021-09-27 16:26:47.932445 : Epoch  8, Batch    350, Loss  1.194700, Average Loss  1.193555, Time  0.437819
2021-09-27 16:26:53.644508 : Epoch  8, Batch    351, Loss  1.207182, Average Loss  1.193653, Time  0.448730
2021-09-27 16:26:59.322041 : Epoch  8, Batch    352, Loss  1.200372, Average Loss  1.193659, Time  0.438658
2021-09-27 16:27:04.959924 : Epoch  8, Batch    353, Loss  1.194891, Average Loss  1.193656, Time  0.436818
2021-09-27 16:27:10.615995 : Epoch  8, Batch    354, Loss  1.183696, Average Loss  1.193565, Time  0.439959
2021-09-27 16:27:16.178339 : Epoch  8, Batch    355, Loss  1.193692, Average Loss  1.193590, Time  0.436778
2021-09-27 16:27:21.781500 : Epoch  8, Batch    356, Loss  1.210557, Average Loss  1.193694, Time  0.439916
2021-09-27 16:27:27.326525 : Epoch  8, Batch    357, Loss  1.179246, Average Loss  1.193699, Time  0.438990
2021-09-27 16:27:32.943419 : Epoch  8, Batch    358, Loss  1.196873, Average Loss  1.193705, Time  0.437185
2021-09-27 16:27:38.625905 : Epoch  8, Batch    359, Loss  1.182890, Average Loss  1.193635, Time  0.441155
2021-09-27 16:27:44.534804 : Epoch  8, Batch    360, Loss  1.194869, Average Loss  1.193594, Time  0.455327
2021-09-27 16:27:50.109519 : Epoch  8, Batch    361, Loss  1.211030, Average Loss  1.193757, Time  0.442324
2021-09-27 16:27:55.660446 : Epoch  8, Batch    362, Loss  1.193195, Average Loss  1.193751, Time  0.438365
2021-09-27 16:28:01.145948 : Epoch  8, Batch    363, Loss  1.187408, Average Loss  1.193773, Time  0.439082
2021-09-27 16:28:06.639723 : Epoch  8, Batch    364, Loss  1.175993, Average Loss  1.193645, Time  0.439250
2021-09-27 16:28:12.293053 : Epoch  8, Batch    365, Loss  1.189980, Average Loss  1.193572, Time  0.439145
2021-09-27 16:28:17.914704 : Epoch  8, Batch    366, Loss  1.184421, Average Loss  1.193543, Time  0.439600
2021-09-27 16:28:23.619403 : Epoch  8, Batch    367, Loss  1.173833, Average Loss  1.193383, Time  0.438535
2021-09-27 16:28:29.327618 : Epoch  8, Batch    368, Loss  1.193112, Average Loss  1.193332, Time  0.452833
2021-09-27 16:28:35.217451 : Epoch  8, Batch    369, Loss  1.199515, Average Loss  1.193329, Time  0.441846
2021-09-27 16:28:40.809648 : Epoch  8, Batch    370, Loss  1.184064, Average Loss  1.193213, Time  0.439071
2021-09-27 16:28:46.461019 : Epoch  8, Batch    371, Loss  1.188589, Average Loss  1.193231, Time  0.438896
2021-09-27 16:28:52.251532 : Epoch  8, Batch    372, Loss  1.192799, Average Loss  1.193186, Time  0.442179
2021-09-27 16:28:58.158342 : Epoch  8, Batch    373, Loss  1.204211, Average Loss  1.193226, Time  0.441384
2021-09-27 16:29:03.779574 : Epoch  8, Batch    374, Loss  1.175939, Average Loss  1.193090, Time  0.442015
2021-09-27 16:29:09.178929 : Epoch  8, Batch    375, Loss  1.205940, Average Loss  1.193108, Time  0.439776
2021-09-27 16:29:14.932937 : Epoch  8, Batch    376, Loss  1.195411, Average Loss  1.193132, Time  0.454312
2021-09-27 16:29:20.657777 : Epoch  8, Batch    377, Loss  1.206738, Average Loss  1.193125, Time  0.438932
2021-09-27 16:29:26.211767 : Epoch  8, Batch    378, Loss  1.188447, Average Loss  1.193102, Time  0.439479
2021-09-27 16:29:31.834348 : Epoch  8, Batch    379, Loss  1.186246, Average Loss  1.193073, Time  0.438740
2021-09-27 16:29:37.337047 : Epoch  8, Batch    380, Loss  1.188203, Average Loss  1.193074, Time  0.437209
2021-09-27 16:29:42.805514 : Epoch  8, Batch    381, Loss  1.190736, Average Loss  1.193014, Time  0.436635
2021-09-27 16:29:48.384957 : Epoch  8, Batch    382, Loss  1.190929, Average Loss  1.193026, Time  0.438210
2021-09-27 16:29:53.831773 : Epoch  8, Batch    383, Loss  1.201952, Average Loss  1.193046, Time  0.437695
2021-09-27 16:29:59.443163 : Epoch  8, Batch    384, Loss  1.190686, Average Loss  1.193035, Time  0.439717
2021-09-27 16:30:05.146880 : Epoch  8, Batch    385, Loss  1.195451, Average Loss  1.193088, Time  0.449651
2021-09-27 16:30:10.715138 : Epoch  8, Batch    386, Loss  1.193782, Average Loss  1.192981, Time  0.439606
2021-09-27 16:30:16.190944 : Epoch  8, Batch    387, Loss  1.199957, Average Loss  1.193040, Time  0.437457
2021-09-27 16:30:21.738460 : Epoch  8, Batch    388, Loss  1.183264, Average Loss  1.193017, Time  0.438566
2021-09-27 16:30:27.275793 : Epoch  8, Batch    389, Loss  1.196636, Average Loss  1.193050, Time  0.437340
2021-09-27 16:30:32.948365 : Epoch  8, Batch    390, Loss  1.198032, Average Loss  1.193106, Time  0.439167
2021-09-27 16:30:38.601154 : Epoch  8, Batch    391, Loss  1.178310, Average Loss  1.193045, Time  0.439728
2021-09-27 16:30:44.158352 : Epoch  8, Batch    392, Loss  1.194046, Average Loss  1.193031, Time  0.437880
2021-09-27 16:30:49.723912 : Epoch  8, Batch    393, Loss  1.192979, Average Loss  1.193100, Time  0.448891
2021-09-27 16:30:55.106057 : Epoch  8, Batch    394, Loss  1.190852, Average Loss  1.193098, Time  0.437831
2021-09-27 16:31:00.678296 : Epoch  8, Batch    395, Loss  1.192289, Average Loss  1.193088, Time  0.439846
2021-09-27 16:31:06.296463 : Epoch  8, Batch    396, Loss  1.199494, Average Loss  1.193139, Time  0.439148
2021-09-27 16:31:11.967704 : Epoch  8, Batch    397, Loss  1.195181, Average Loss  1.193163, Time  0.437230
2021-09-27 16:31:17.644749 : Epoch  8, Batch    398, Loss  1.215826, Average Loss  1.193339, Time  0.439222
2021-09-27 16:31:23.306834 : Epoch  8, Batch    399, Loss  1.181465, Average Loss  1.193269, Time  0.439614
2021-09-27 16:31:28.974343 : Epoch  8, Batch    400, Loss  1.188753, Average Loss  1.193234, Time  0.438414
2021-09-27 16:31:34.549712 : Epoch  8, Batch    401, Loss  1.202242, Average Loss  1.193249, Time  0.447068
2021-09-27 16:31:40.066954 : Epoch  8, Batch    402, Loss  1.195189, Average Loss  1.193187, Time  0.438039
2021-09-27 16:31:45.770052 : Epoch  8, Batch    403, Loss  1.216945, Average Loss  1.193330, Time  0.437949
2021-09-27 16:31:51.414361 : Epoch  8, Batch    404, Loss  1.204959, Average Loss  1.193374, Time  0.438433
2021-09-27 16:36:12.119844 : CheckPoint: Validation Loss  0.00020822, Best Loss  0.00020284
2021-09-27 16:36:17.700962 : Epoch  8, Batch    405, Loss  1.201120, Average Loss  1.193425, Time  0.455559
2021-09-27 16:36:23.258018 : Epoch  8, Batch    406, Loss  1.202160, Average Loss  1.193410, Time  0.439918
2021-09-27 16:36:28.677535 : Epoch  8, Batch    407, Loss  1.195895, Average Loss  1.193494, Time  0.439326
2021-09-27 16:36:34.225410 : Epoch  8, Batch    408, Loss  1.183878, Average Loss  1.193435, Time  0.436081
2021-09-27 16:36:39.672663 : Epoch  8, Batch    409, Loss  1.211914, Average Loss  1.193559, Time  0.435918
2021-09-27 16:36:45.118037 : Epoch  8, Batch    410, Loss  1.178975, Average Loss  1.193578, Time  0.437442
2021-09-27 16:36:50.612349 : Epoch  8, Batch    411, Loss  1.179025, Average Loss  1.193503, Time  0.436874
2021-09-27 16:36:56.076202 : Epoch  8, Batch    412, Loss  1.188443, Average Loss  1.193494, Time  0.436623
2021-09-27 16:37:01.573495 : Epoch  8, Batch    413, Loss  1.197315, Average Loss  1.193557, Time  0.438538
2021-09-27 16:37:07.100687 : Epoch  8, Batch    414, Loss  1.192951, Average Loss  1.193553, Time  0.451214
2021-09-27 16:37:12.777779 : Epoch  8, Batch    415, Loss  1.188831, Average Loss  1.193578, Time  0.438514
2021-09-27 16:37:18.329554 : Epoch  8, Batch    416, Loss  1.190388, Average Loss  1.193614, Time  0.436781
2021-09-27 16:37:23.711134 : Epoch  8, Batch    417, Loss  1.172171, Average Loss  1.193455, Time  0.438191
2021-09-27 16:37:29.264652 : Epoch  8, Batch    418, Loss  1.202595, Average Loss  1.193441, Time  0.440353
2021-09-27 16:37:34.825623 : Epoch  8, Batch    419, Loss  1.196391, Average Loss  1.193427, Time  0.437372
2021-09-27 16:37:40.626862 : Epoch  8, Batch    420, Loss  1.174517, Average Loss  1.193382, Time  0.440993
2021-09-27 16:37:46.606111 : Epoch  8, Batch    421, Loss  1.188227, Average Loss  1.193362, Time  0.440961
2021-09-27 16:37:52.332563 : Epoch  8, Batch    422, Loss  1.184538, Average Loss  1.193375, Time  0.450077
2021-09-27 16:37:57.758511 : Epoch  8, Batch    423, Loss  1.197136, Average Loss  1.193437, Time  0.436122
2021-09-27 16:38:03.283865 : Epoch  8, Batch    424, Loss  1.204869, Average Loss  1.193454, Time  0.437278
2021-09-27 16:38:08.944322 : Epoch  8, Batch    425, Loss  1.192290, Average Loss  1.193402, Time  0.438109
2021-09-27 16:38:14.415388 : Epoch  8, Batch    426, Loss  1.189211, Average Loss  1.193416, Time  0.438056
2021-09-27 16:38:20.063867 : Epoch  8, Batch    427, Loss  1.195392, Average Loss  1.193408, Time  0.438284
2021-09-27 16:38:25.685068 : Epoch  8, Batch    428, Loss  1.193779, Average Loss  1.193412, Time  0.438137
2021-09-27 16:38:31.224278 : Epoch  8, Batch    429, Loss  1.204232, Average Loss  1.193495, Time  0.438221
2021-09-27 16:38:36.827435 : Epoch  8, Batch    430, Loss  1.190141, Average Loss  1.193465, Time  0.450545
2021-09-27 16:38:42.315668 : Epoch  8, Batch    431, Loss  1.196345, Average Loss  1.193397, Time  0.436953
2021-09-27 16:38:47.853346 : Epoch  8, Batch    432, Loss  1.204397, Average Loss  1.193438, Time  0.438583
2021-09-27 16:38:53.400803 : Epoch  8, Batch    433, Loss  1.210593, Average Loss  1.193572, Time  0.436233
2021-09-27 16:38:58.760105 : Epoch  8, Batch    434, Loss  1.198240, Average Loss  1.193551, Time  0.435713
2021-09-27 16:39:04.284853 : Epoch  8, Batch    435, Loss  1.187779, Average Loss  1.193531, Time  0.438124
2021-09-27 16:39:09.801923 : Epoch  8, Batch    436, Loss  1.212542, Average Loss  1.193528, Time  0.436702
2021-09-27 16:39:15.405088 : Epoch  8, Batch    437, Loss  1.206698, Average Loss  1.193700, Time  0.460171
2021-09-27 16:39:21.062426 : Epoch  8, Batch    438, Loss  1.200089, Average Loss  1.193745, Time  0.437458
2021-09-27 16:39:26.811159 : Epoch  8, Batch    439, Loss  1.206318, Average Loss  1.193819, Time  0.453694
2021-09-27 16:39:32.822497 : Epoch  8, Batch    440, Loss  1.189628, Average Loss  1.193798, Time  0.443381
2021-09-27 16:39:38.642260 : Epoch  8, Batch    441, Loss  1.189052, Average Loss  1.193805, Time  0.440290
2021-09-27 16:39:44.325634 : Epoch  8, Batch    442, Loss  1.203506, Average Loss  1.193806, Time  0.438873
2021-09-27 16:39:50.011013 : Epoch  8, Batch    443, Loss  1.188655, Average Loss  1.193719, Time  0.437472
2021-09-27 16:39:55.455351 : Epoch  8, Batch    444, Loss  1.169551, Average Loss  1.193645, Time  0.437362
2021-09-27 16:40:01.114939 : Epoch  8, Batch    445, Loss  1.205258, Average Loss  1.193786, Time  0.438321
2021-09-27 16:40:06.802035 : Epoch  8, Batch    446, Loss  1.192266, Average Loss  1.193844, Time  0.440134
2021-09-27 16:40:12.533447 : Epoch  8, Batch    447, Loss  1.210462, Average Loss  1.193910, Time  0.455227
2021-09-27 16:40:18.489343 : Epoch  8, Batch    448, Loss  1.178621, Average Loss  1.193802, Time  0.440907
2021-09-27 16:40:24.226562 : Epoch  8, Batch    449, Loss  1.205961, Average Loss  1.193876, Time  0.440680
2021-09-27 16:40:29.835288 : Epoch  8, Batch    450, Loss  1.195883, Average Loss  1.193909, Time  0.439629
2021-09-27 16:40:35.469359 : Epoch  8, Batch    451, Loss  1.206378, Average Loss  1.193971, Time  0.439805
2021-09-27 16:40:41.111002 : Epoch  8, Batch    452, Loss  1.195041, Average Loss  1.194057, Time  0.438586
2021-09-27 16:40:46.911596 : Epoch  8, Batch    453, Loss  1.199012, Average Loss  1.194111, Time  0.442737
2021-09-27 16:40:52.937902 : Epoch  8, Batch    454, Loss  1.184470, Average Loss  1.194083, Time  0.440279
2021-09-27 16:40:58.633331 : Epoch  8, Batch    455, Loss  1.191829, Average Loss  1.194067, Time  0.455962
2021-09-27 16:41:04.239737 : Epoch  8, Batch    456, Loss  1.188573, Average Loss  1.193940, Time  0.436656
2021-09-27 16:41:09.712226 : Epoch  8, Batch    457, Loss  1.196033, Average Loss  1.193967, Time  0.436889
2021-09-27 16:41:15.381646 : Epoch  8, Batch    458, Loss  1.197797, Average Loss  1.194002, Time  0.438561
2021-09-27 16:41:20.892841 : Epoch  8, Batch    459, Loss  1.182166, Average Loss  1.193981, Time  0.440328
2021-09-27 16:41:26.746958 : Epoch  8, Batch    460, Loss  1.190695, Average Loss  1.194054, Time  0.439738
2021-09-27 16:41:32.415373 : Epoch  8, Batch    461, Loss  1.194449, Average Loss  1.194111, Time  0.439369
2021-09-27 16:41:38.089384 : Epoch  8, Batch    462, Loss  1.197975, Average Loss  1.194068, Time  0.440542
2021-09-27 16:41:43.715804 : Epoch  8, Batch    463, Loss  1.194516, Average Loss  1.194059, Time  0.446691
2021-09-27 16:41:49.478702 : Epoch  8, Batch    464, Loss  1.192049, Average Loss  1.194004, Time  0.441883
2021-09-27 16:41:54.924896 : Epoch  8, Batch    465, Loss  1.204615, Average Loss  1.194065, Time  0.435587
2021-09-27 16:42:00.481811 : Epoch  8, Batch    466, Loss  1.178203, Average Loss  1.194021, Time  0.441434
2021-09-27 16:42:06.334338 : Epoch  8, Batch    467, Loss  1.185770, Average Loss  1.194004, Time  0.441311
2021-09-27 16:42:11.946404 : Epoch  8, Batch    468, Loss  1.187540, Average Loss  1.194109, Time  0.439780
2021-09-27 16:42:17.565204 : Epoch  8, Batch    469, Loss  1.190378, Average Loss  1.194153, Time  0.439552
2021-09-27 16:42:23.164419 : Epoch  8, Batch    470, Loss  1.203146, Average Loss  1.194185, Time  0.438491
2021-09-27 16:42:28.762360 : Epoch  8, Batch    471, Loss  1.177132, Average Loss  1.194095, Time  0.454018
2021-09-27 16:42:34.336702 : Epoch  8, Batch    472, Loss  1.198871, Average Loss  1.194097, Time  0.438197
2021-09-27 16:42:40.019260 : Epoch  8, Batch    473, Loss  1.208293, Average Loss  1.194135, Time  0.435921
2021-09-27 16:42:45.597342 : Epoch  8, Batch    474, Loss  1.191922, Average Loss  1.194107, Time  0.437517
2021-09-27 16:42:51.080231 : Epoch  8, Batch    475, Loss  1.191300, Average Loss  1.194155, Time  0.439101
2021-09-27 16:42:56.685108 : Epoch  8, Batch    476, Loss  1.194015, Average Loss  1.194183, Time  0.438571
2021-09-27 16:43:02.187218 : Epoch  8, Batch    477, Loss  1.184773, Average Loss  1.194093, Time  0.438514
2021-09-27 16:43:07.679540 : Epoch  8, Batch    478, Loss  1.195969, Average Loss  1.194142, Time  0.439198
2021-09-27 16:43:13.229945 : Epoch  8, Batch    479, Loss  1.203944, Average Loss  1.194226, Time  0.437916
2021-09-27 16:43:18.686018 : Epoch  8, Batch    480, Loss  1.205922, Average Loss  1.194276, Time  0.452048
2021-09-27 16:43:24.111441 : Epoch  8, Batch    481, Loss  1.173939, Average Loss  1.194273, Time  0.437057
2021-09-27 16:43:29.502796 : Epoch  8, Batch    482, Loss  1.189796, Average Loss  1.194328, Time  0.439655
2021-09-27 16:43:35.137361 : Epoch  8, Batch    483, Loss  1.186760, Average Loss  1.194307, Time  0.437603
2021-09-27 16:43:40.683306 : Epoch  8, Batch    484, Loss  1.195960, Average Loss  1.194340, Time  0.437139
2021-09-27 16:43:46.340656 : Epoch  8, Batch    485, Loss  1.188442, Average Loss  1.194262, Time  0.439035
2021-09-27 16:43:52.062080 : Epoch  8, Batch    486, Loss  1.204753, Average Loss  1.194338, Time  0.440829
2021-09-27 16:43:58.068678 : Epoch  8, Batch    487, Loss  1.184766, Average Loss  1.194340, Time  0.441599
2021-09-27 16:44:03.925749 : Epoch  8, Batch    488, Loss  1.173855, Average Loss  1.194295, Time  0.451228
2021-09-27 16:44:09.504533 : Epoch  8, Batch    489, Loss  1.189920, Average Loss  1.194298, Time  0.436466
2021-09-27 16:44:14.987138 : Epoch  8, Batch    490, Loss  1.193272, Average Loss  1.194247, Time  0.437269
2021-09-27 16:44:20.580265 : Epoch  8, Batch    491, Loss  1.203176, Average Loss  1.194374, Time  0.440467
2021-09-27 16:44:26.240272 : Epoch  8, Batch    492, Loss  1.179833, Average Loss  1.194235, Time  0.439318
2021-09-27 16:44:31.846967 : Epoch  8, Batch    493, Loss  1.209347, Average Loss  1.194270, Time  0.436181
2021-09-27 16:44:37.347962 : Epoch  8, Batch    494, Loss  1.181882, Average Loss  1.194189, Time  0.437513
2021-09-27 16:44:42.825072 : Epoch  8, Batch    495, Loss  1.195298, Average Loss  1.194198, Time  0.436862
2021-09-27 16:44:48.430099 : Epoch  8, Batch    496, Loss  1.172578, Average Loss  1.194139, Time  0.438540
2021-09-27 16:44:53.901045 : Epoch  8, Batch    497, Loss  1.198783, Average Loss  1.194064, Time  0.447543
2021-09-27 16:44:59.568360 : Epoch  8, Batch    498, Loss  1.182182, Average Loss  1.193963, Time  0.439264
2021-09-27 16:45:05.277227 : Epoch  8, Batch    499, Loss  1.201096, Average Loss  1.194058, Time  0.439340
2021-09-27 16:45:10.990304 : Epoch  8, Batch    500, Loss  1.183872, Average Loss  1.193987, Time  0.438794
2021-09-27 16:45:16.707412 : Epoch  8, Batch    501, Loss  1.186622, Average Loss  1.194005, Time  0.439408
2021-09-27 16:45:22.446812 : Epoch  8, Batch    502, Loss  1.194009, Average Loss  1.193900, Time  0.439973
2021-09-27 16:45:28.188025 : Epoch  8, Batch    503, Loss  1.177580, Average Loss  1.193689, Time  0.438952
2021-09-27 16:45:39.464639 : Epoch  8, Batch    504, Loss  1.201335, Average Loss  1.193778, Time  0.450910
2021-09-27 16:50:02.370527 : CheckPoint: Validation Loss  0.00021022, Best Loss  0.00020284
2021-09-27 16:50:07.663641 : Epoch  8, Batch    505, Loss  1.173242, Average Loss  1.193679, Time  0.435399
2021-09-27 16:50:13.011516 : Epoch  8, Batch    506, Loss  1.194690, Average Loss  1.193652, Time  0.435591
2021-09-27 16:50:18.540153 : Epoch  8, Batch    507, Loss  1.183455, Average Loss  1.193613, Time  0.439264
2021-09-27 16:50:24.406146 : Epoch  8, Batch    508, Loss  1.211895, Average Loss  1.193720, Time  0.454956
2021-09-27 16:50:30.361065 : Epoch  8, Batch    509, Loss  1.199553, Average Loss  1.193770, Time  0.441821
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2021-09-27 16:50:54.245117 : Epoch  8, Batch    513, Loss  1.203188, Average Loss  1.193948, Time  0.441823
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2021-09-27 16:51:06.155023 : Epoch  8, Batch    515, Loss  1.197140, Average Loss  1.194098, Time  0.447364
2021-09-27 16:51:12.133597 : Epoch  8, Batch    516, Loss  1.199207, Average Loss  1.194093, Time  0.461603
2021-09-27 16:51:18.082321 : Epoch  8, Batch    517, Loss  1.194526, Average Loss  1.194070, Time  0.442182
2021-09-27 16:51:24.056785 : Epoch  8, Batch    518, Loss  1.189024, Average Loss  1.194071, Time  0.441936
2021-09-27 16:51:30.028699 : Epoch  8, Batch    519, Loss  1.189014, Average Loss  1.194032, Time  0.443600
2021-09-27 16:51:35.965233 : Epoch  8, Batch    520, Loss  1.195333, Average Loss  1.193932, Time  0.440831
2021-09-27 16:51:41.904326 : Epoch  8, Batch    521, Loss  1.205316, Average Loss  1.193949, Time  0.440791
2021-09-27 16:51:47.873269 : Epoch  8, Batch    522, Loss  1.207389, Average Loss  1.194022, Time  0.439003
2021-09-27 16:51:53.843437 : Epoch  8, Batch    523, Loss  1.191285, Average Loss  1.194015, Time  0.440046
2021-09-27 16:51:59.829459 : Epoch  8, Batch    524, Loss  1.198537, Average Loss  1.194080, Time  0.454072
2021-09-27 16:52:05.772399 : Epoch  8, Batch    525, Loss  1.199096, Average Loss  1.194093, Time  0.441709
2021-09-27 16:52:11.707687 : Epoch  8, Batch    526, Loss  1.212101, Average Loss  1.194099, Time  0.440009
2021-09-27 16:52:17.625811 : Epoch  8, Batch    527, Loss  1.201839, Average Loss  1.194072, Time  0.440218
2021-09-27 16:52:23.557245 : Epoch  8, Batch    528, Loss  1.207188, Average Loss  1.194121, Time  0.439909
2021-09-27 16:52:29.497393 : Epoch  8, Batch    529, Loss  1.190421, Average Loss  1.194071, Time  0.440646
2021-09-27 16:52:35.422074 : Epoch  8, Batch    530, Loss  1.179294, Average Loss  1.193993, Time  0.439372
2021-09-27 16:52:41.382802 : Epoch  8, Batch    531, Loss  1.190044, Average Loss  1.193983, Time  0.456031
2021-09-27 16:52:47.316120 : Epoch  8, Batch    532, Loss  1.190608, Average Loss  1.193886, Time  0.439411
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2021-09-27 16:52:59.184546 : Epoch  8, Batch    534, Loss  1.205373, Average Loss  1.193841, Time  0.441588
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2021-09-27 16:55:45.670751 : Epoch  8, Batch    562, Loss  1.199553, Average Loss  1.193435, Time  0.450281
2021-09-27 16:55:51.623263 : Epoch  8, Batch    563, Loss  1.173443, Average Loss  1.193365, Time  0.442647
2021-09-27 16:55:57.586412 : Epoch  8, Batch    564, Loss  1.195594, Average Loss  1.193463, Time  0.440259
2021-09-27 16:56:03.548813 : Epoch  8, Batch    565, Loss  1.209099, Average Loss  1.193558, Time  0.443225
2021-09-27 16:56:09.492796 : Epoch  8, Batch    566, Loss  1.190906, Average Loss  1.193591, Time  0.441965
2021-09-27 16:56:15.449880 : Epoch  8, Batch    567, Loss  1.180881, Average Loss  1.193626, Time  0.441347
2021-09-27 16:56:21.371907 : Epoch  8, Batch    568, Loss  1.184975, Average Loss  1.193585, Time  0.440042
2021-09-27 16:56:27.296851 : Epoch  8, Batch    569, Loss  1.191551, Average Loss  1.193546, Time  0.442982
2021-09-27 16:56:33.263300 : Epoch  8, Batch    570, Loss  1.199024, Average Loss  1.193620, Time  0.451936
2021-09-27 16:56:39.209892 : Epoch  8, Batch    571, Loss  1.197583, Average Loss  1.193665, Time  0.441754
2021-09-27 16:56:45.121761 : Epoch  8, Batch    572, Loss  1.198474, Average Loss  1.193694, Time  0.440187
2021-09-27 16:56:51.041322 : Epoch  8, Batch    573, Loss  1.181655, Average Loss  1.193581, Time  0.440490
2021-09-27 16:56:56.979781 : Epoch  8, Batch    574, Loss  1.192101, Average Loss  1.193662, Time  0.438282
2021-09-27 16:57:02.903623 : Epoch  8, Batch    575, Loss  1.206035, Average Loss  1.193662, Time  0.441998
2021-09-27 16:57:08.834965 : Epoch  8, Batch    576, Loss  1.186374, Average Loss  1.193617, Time  0.439258
2021-09-27 16:57:14.788759 : Epoch  8, Batch    577, Loss  1.185628, Average Loss  1.193512, Time  0.441891
2021-09-27 16:57:20.755521 : Epoch  8, Batch    578, Loss  1.195404, Average Loss  1.193546, Time  0.449340
2021-09-27 16:57:26.705628 : Epoch  8, Batch    579, Loss  1.197140, Average Loss  1.193601, Time  0.439529
2021-09-27 16:57:32.676482 : Epoch  8, Batch    580, Loss  1.189389, Average Loss  1.193607, Time  0.446090
2021-09-27 16:57:38.659942 : Epoch  8, Batch    581, Loss  1.193323, Average Loss  1.193620, Time  0.441102
2021-09-27 16:57:44.598414 : Epoch  8, Batch    582, Loss  1.172474, Average Loss  1.193527, Time  0.439309
2021-09-27 16:57:50.550928 : Epoch  8, Batch    583, Loss  1.185927, Average Loss  1.193447, Time  0.445202
2021-09-27 16:57:56.511819 : Epoch  8, Batch    584, Loss  1.185048, Average Loss  1.193419, Time  0.440651
2021-09-27 16:58:02.474317 : Epoch  8, Batch    585, Loss  1.188624, Average Loss  1.193385, Time  0.454053
2021-09-27 16:58:08.457787 : Epoch  8, Batch    586, Loss  1.203030, Average Loss  1.193431, Time  0.445288
2021-09-27 16:58:14.418355 : Epoch  8, Batch    587, Loss  1.186201, Average Loss  1.193362, Time  0.440073
2021-09-27 16:58:20.406017 : Epoch  8, Batch    588, Loss  1.193053, Average Loss  1.193411, Time  0.441982
2021-09-27 16:58:26.390885 : Epoch  8, Batch    589, Loss  1.182944, Average Loss  1.193343, Time  0.440662
2021-09-27 16:58:32.321250 : Epoch  8, Batch    590, Loss  1.182139, Average Loss  1.193263, Time  0.441059
2021-09-27 16:58:38.295683 : Epoch  8, Batch    591, Loss  1.192227, Average Loss  1.193333, Time  0.440527
2021-09-27 16:58:44.273536 : Epoch  8, Batch    592, Loss  1.192003, Average Loss  1.193323, Time  0.442878
2021-09-27 16:58:50.248514 : Epoch  8, Batch    593, Loss  1.192472, Average Loss  1.193320, Time  0.452960
2021-09-27 16:58:56.198781 : Epoch  8, Batch    594, Loss  1.187496, Average Loss  1.193303, Time  0.440582
2021-09-27 16:59:02.134820 : Epoch  8, Batch    595, Loss  1.196647, Average Loss  1.193325, Time  0.439503
2021-09-27 16:59:08.063027 : Epoch  8, Batch    596, Loss  1.205423, Average Loss  1.193355, Time  0.440113
2021-09-27 16:59:14.020837 : Epoch  8, Batch    597, Loss  1.212273, Average Loss  1.193440, Time  0.442613
2021-09-27 16:59:19.949464 : Epoch  8, Batch    598, Loss  1.188311, Average Loss  1.193303, Time  0.440651
2021-09-27 16:59:25.881810 : Epoch  8, Batch    599, Loss  1.192832, Average Loss  1.193360, Time  0.441255
2021-09-27 16:59:31.830678 : Epoch  8, Batch    600, Loss  1.202552, Average Loss  1.193429, Time  0.443821
2021-09-27 16:59:37.783236 : Epoch  8, Batch    601, Loss  1.194058, Average Loss  1.193388, Time  0.449978
2021-09-27 16:59:43.736785 : Epoch  8, Batch    602, Loss  1.189587, Average Loss  1.193360, Time  0.440854
2021-09-27 16:59:49.676795 : Epoch  8, Batch    603, Loss  1.187351, Average Loss  1.193212, Time  0.440098
2021-09-27 16:59:55.656609 : Epoch  8, Batch    604, Loss  1.209288, Average Loss  1.193233, Time  0.442995
2021-09-27 17:04:33.329691 : CheckPoint: Validation Loss  0.00020755, Best Loss  0.00020284
2021-09-27 17:04:39.250637 : Epoch  8, Batch    605, Loss  1.191461, Average Loss  1.193185, Time  0.439109
2021-09-27 17:04:45.177209 : Epoch  8, Batch    606, Loss  1.205454, Average Loss  1.193202, Time  0.439114
2021-09-27 17:04:51.093034 : Epoch  8, Batch    607, Loss  1.183910, Average Loss  1.193142, Time  0.440146
2021-09-27 17:04:57.050644 : Epoch  8, Batch    608, Loss  1.199964, Average Loss  1.193222, Time  0.457600
2021-09-27 17:05:02.978239 : Epoch  8, Batch    609, Loss  1.199620, Average Loss  1.193161, Time  0.443608
2021-09-27 17:05:08.906712 : Epoch  8, Batch    610, Loss  1.192430, Average Loss  1.193228, Time  0.441163
2021-09-27 17:05:14.835440 : Epoch  8, Batch    611, Loss  1.192583, Average Loss  1.193296, Time  0.439729
2021-09-27 17:05:20.763969 : Epoch  8, Batch    612, Loss  1.190068, Average Loss  1.193304, Time  0.441978
2021-09-27 17:05:26.682772 : Epoch  8, Batch    613, Loss  1.189705, Average Loss  1.193266, Time  0.438406
2021-09-27 17:05:32.600735 : Epoch  8, Batch    614, Loss  1.203192, Average Loss  1.193317, Time  0.440701
2021-09-27 17:05:38.525774 : Epoch  8, Batch    615, Loss  1.193017, Average Loss  1.193338, Time  0.440286
2021-09-27 17:05:44.446122 : Epoch  8, Batch    616, Loss  1.177381, Average Loss  1.193273, Time  0.448872
2021-09-27 17:05:50.384544 : Epoch  8, Batch    617, Loss  1.189418, Average Loss  1.193359, Time  0.438894
2021-09-27 17:05:56.300758 : Epoch  8, Batch    618, Loss  1.192427, Average Loss  1.193308, Time  0.439534
2021-09-27 17:06:02.243306 : Epoch  8, Batch    619, Loss  1.198537, Average Loss  1.193319, Time  0.440706
2021-09-27 17:06:08.169243 : Epoch  8, Batch    620, Loss  1.194233, Average Loss  1.193417, Time  0.439528
2021-09-27 17:06:14.102331 : Epoch  8, Batch    621, Loss  1.186057, Average Loss  1.193407, Time  0.440342
2021-09-27 17:06:20.014815 : Epoch  8, Batch    622, Loss  1.182717, Average Loss  1.193398, Time  0.438809
2021-09-27 17:06:25.943369 : Epoch  8, Batch    623, Loss  1.197747, Average Loss  1.193401, Time  0.441570
2021-09-27 17:06:31.892460 : Epoch  8, Batch    624, Loss  1.205218, Average Loss  1.193402, Time  0.451179
2021-09-27 17:06:37.812416 : Epoch  8, Batch    625, Loss  1.190775, Average Loss  1.193395, Time  0.438760
2021-09-27 17:06:43.760355 : Epoch  8, Batch    626, Loss  1.208296, Average Loss  1.193490, Time  0.439266
2021-09-27 17:06:49.685835 : Epoch  8, Batch    627, Loss  1.197117, Average Loss  1.193499, Time  0.439733
2021-09-27 17:06:55.610801 : Epoch  8, Batch    628, Loss  1.173480, Average Loss  1.193397, Time  0.440023
2021-09-27 17:07:01.552461 : Epoch  8, Batch    629, Loss  1.196415, Average Loss  1.193358, Time  0.442074
2021-09-27 17:07:07.494827 : Epoch  8, Batch    630, Loss  1.188004, Average Loss  1.193348, Time  0.440016
2021-09-27 17:07:13.428898 : Epoch  8, Batch    631, Loss  1.195118, Average Loss  1.193341, Time  0.444967
2021-09-27 17:07:19.359789 : Epoch  8, Batch    632, Loss  1.197168, Average Loss  1.193305, Time  0.449358
2021-09-27 17:07:25.287623 : Epoch  8, Batch    633, Loss  1.173536, Average Loss  1.193120, Time  0.438932
2021-09-27 17:07:31.196198 : Epoch  8, Batch    634, Loss  1.192728, Average Loss  1.193092, Time  0.439868
2021-09-27 17:07:37.120763 : Epoch  8, Batch    635, Loss  1.193530, Average Loss  1.193121, Time  0.439139
2021-09-27 17:07:43.046909 : Epoch  8, Batch    636, Loss  1.182177, Average Loss  1.192969, Time  0.439873
2021-09-27 17:07:48.976692 : Epoch  8, Batch    637, Loss  1.185285, Average Loss  1.192862, Time  0.440189
2021-09-27 17:07:54.920025 : Epoch  8, Batch    638, Loss  1.182926, Average Loss  1.192776, Time  0.439031
2021-09-27 17:08:00.865364 : Epoch  8, Batch    639, Loss  1.196336, Average Loss  1.192727, Time  0.440292
2021-09-27 17:08:06.800855 : Epoch  8, Batch    640, Loss  1.199890, Average Loss  1.192778, Time  0.457046
2021-09-27 17:08:12.734064 : Epoch  8, Batch    641, Loss  1.190036, Average Loss  1.192783, Time  0.439269
2021-09-27 17:08:18.656058 : Epoch  8, Batch    642, Loss  1.181679, Average Loss  1.192674, Time  0.439167
2021-09-27 17:08:24.572838 : Epoch  8, Batch    643, Loss  1.188511, Average Loss  1.192673, Time  0.441225
2021-09-27 17:08:30.496930 : Epoch  8, Batch    644, Loss  1.191493, Average Loss  1.192783, Time  0.440924
2021-09-27 17:08:36.429805 : Epoch  8, Batch    645, Loss  1.199518, Average Loss  1.192754, Time  0.438910
2021-09-27 17:08:42.361116 : Epoch  8, Batch    646, Loss  1.197159, Average Loss  1.192778, Time  0.439476
2021-09-27 17:08:48.285230 : Epoch  8, Batch    647, Loss  1.194767, Average Loss  1.192700, Time  0.438330
2021-09-27 17:08:54.209217 : Epoch  8, Batch    648, Loss  1.194100, Average Loss  1.192777, Time  0.457104
2021-09-27 17:09:00.126540 : Epoch  8, Batch    649, Loss  1.194719, Average Loss  1.192721, Time  0.439158
2021-09-27 17:09:06.063916 : Epoch  8, Batch    650, Loss  1.197413, Average Loss  1.192729, Time  0.443723
2021-09-27 17:09:11.988488 : Epoch  8, Batch    651, Loss  1.195859, Average Loss  1.192676, Time  0.442872
2021-09-27 17:09:17.902652 : Epoch  8, Batch    652, Loss  1.181248, Average Loss  1.192607, Time  0.438875
2021-09-27 17:09:23.836181 : Epoch  8, Batch    653, Loss  1.191721, Average Loss  1.192571, Time  0.440087
2021-09-27 17:09:29.749740 : Epoch  8, Batch    654, Loss  1.205574, Average Loss  1.192676, Time  0.439828
2021-09-27 17:09:35.660767 : Epoch  8, Batch    655, Loss  1.185262, Average Loss  1.192643, Time  0.442944
2021-09-27 17:09:41.583155 : Epoch  8, Batch    656, Loss  1.188519, Average Loss  1.192643, Time  0.450182
2021-09-27 17:09:47.526731 : Epoch  8, Batch    657, Loss  1.193812, Average Loss  1.192632, Time  0.441081
2021-09-27 17:09:53.462809 : Epoch  8, Batch    658, Loss  1.198985, Average Loss  1.192638, Time  0.442454
2021-09-27 17:09:59.416999 : Epoch  8, Batch    659, Loss  1.200098, Average Loss  1.192728, Time  0.442180
2021-09-27 17:10:05.377335 : Epoch  8, Batch    660, Loss  1.173751, Average Loss  1.192643, Time  0.447878
2021-09-27 17:10:11.332156 : Epoch  8, Batch    661, Loss  1.196108, Average Loss  1.192651, Time  0.441780
2021-09-27 17:10:17.288395 : Epoch  8, Batch    662, Loss  1.184823, Average Loss  1.192585, Time  0.440684
2021-09-27 17:10:23.232269 : Epoch  8, Batch    663, Loss  1.193840, Average Loss  1.192582, Time  0.441273
2021-09-27 17:10:29.180208 : Epoch  8, Batch    664, Loss  1.187607, Average Loss  1.192560, Time  0.451522
2021-09-27 17:10:35.126906 : Epoch  8, Batch    665, Loss  1.181015, Average Loss  1.192442, Time  0.440496
2021-09-27 17:10:41.056233 : Epoch  8, Batch    666, Loss  1.200110, Average Loss  1.192551, Time  0.440470
2021-09-27 17:10:46.999168 : Epoch  8, Batch    667, Loss  1.198216, Average Loss  1.192614, Time  0.440645
2021-09-27 17:10:52.949377 : Epoch  8, Batch    668, Loss  1.199793, Average Loss  1.192675, Time  0.440470
2021-09-27 17:10:58.894052 : Epoch  8, Batch    669, Loss  1.194091, Average Loss  1.192693, Time  0.441581
2021-09-27 17:11:04.845594 : Epoch  8, Batch    670, Loss  1.187563, Average Loss  1.192616, Time  0.441278
2021-09-27 17:11:10.770724 : Epoch  8, Batch    671, Loss  1.197165, Average Loss  1.192716, Time  0.452526
2021-09-27 17:11:16.714827 : Epoch  8, Batch    672, Loss  1.171185, Average Loss  1.192577, Time  0.441677
2021-09-27 17:11:22.679970 : Epoch  8, Batch    673, Loss  1.194097, Average Loss  1.192506, Time  0.446402
2021-09-27 17:11:28.625340 : Epoch  8, Batch    674, Loss  1.185611, Average Loss  1.192475, Time  0.440232
2021-09-27 17:11:34.544172 : Epoch  8, Batch    675, Loss  1.187606, Average Loss  1.192456, Time  0.440288
2021-09-27 17:11:40.486715 : Epoch  8, Batch    676, Loss  1.194764, Average Loss  1.192460, Time  0.439105
2021-09-27 17:11:46.412805 : Epoch  8, Batch    677, Loss  1.184113, Average Loss  1.192457, Time  0.439696
2021-09-27 17:11:52.320758 : Epoch  8, Batch    678, Loss  1.182519, Average Loss  1.192390, Time  0.439912
2021-09-27 17:11:58.301790 : Epoch  8, Batch    679, Loss  1.176525, Average Loss  1.192252, Time  0.447884
2021-09-27 17:12:04.232021 : Epoch  8, Batch    680, Loss  1.182799, Average Loss  1.192137, Time  0.439256
2021-09-27 17:12:10.153469 : Epoch  8, Batch    681, Loss  1.187993, Average Loss  1.192207, Time  0.442860
2021-09-27 17:12:16.070380 : Epoch  8, Batch    682, Loss  1.174018, Average Loss  1.192128, Time  0.440449
2021-09-27 17:12:21.980790 : Epoch  8, Batch    683, Loss  1.198604, Average Loss  1.192187, Time  0.439410
2021-09-27 17:12:27.921653 : Epoch  8, Batch    684, Loss  1.197020, Average Loss  1.192193, Time  0.439432
2021-09-27 17:12:33.862607 : Epoch  8, Batch    685, Loss  1.190695, Average Loss  1.192204, Time  0.440964
2021-09-27 17:12:39.796827 : Epoch  8, Batch    686, Loss  1.196633, Average Loss  1.192163, Time  0.439632
2021-09-27 17:12:45.752839 : Epoch  8, Batch    687, Loss  1.196356, Average Loss  1.192221, Time  0.451009
2021-09-27 17:12:51.692209 : Epoch  8, Batch    688, Loss  1.176093, Average Loss  1.192233, Time  0.440907
2021-09-27 17:12:57.641462 : Epoch  8, Batch    689, Loss  1.189270, Average Loss  1.192229, Time  0.442997
2021-09-27 17:13:03.586993 : Epoch  8, Batch    690, Loss  1.190677, Average Loss  1.192216, Time  0.440686
2021-09-27 17:13:09.521940 : Epoch  8, Batch    691, Loss  1.192600, Average Loss  1.192163, Time  0.439957
2021-09-27 17:13:15.468820 : Epoch  8, Batch    692, Loss  1.204518, Average Loss  1.192287, Time  0.442696
2021-09-27 17:13:21.407196 : Epoch  8, Batch    693, Loss  1.194086, Average Loss  1.192211, Time  0.440094
2021-09-27 17:13:27.349207 : Epoch  8, Batch    694, Loss  1.189987, Average Loss  1.192251, Time  0.440273
2021-09-27 17:13:33.301039 : Epoch  8, Batch    695, Loss  1.198463, Average Loss  1.192267, Time  0.456380
2021-09-27 17:13:39.259653 : Epoch  8, Batch    696, Loss  1.202907, Average Loss  1.192419, Time  0.439435
2021-09-27 17:13:45.220822 : Epoch  8, Batch    697, Loss  1.202081, Average Loss  1.192435, Time  0.438953
2021-09-27 17:13:51.160929 : Epoch  8, Batch    698, Loss  1.205181, Average Loss  1.192550, Time  0.449112
2021-09-27 17:13:57.110504 : Epoch  8, Batch    699, Loss  1.192741, Average Loss  1.192508, Time  0.442508
2021-09-27 17:14:03.038713 : Epoch  8, Batch    700, Loss  1.195863, Average Loss  1.192568, Time  0.441199
2021-09-27 17:14:08.975787 : Epoch  8, Batch    701, Loss  1.185323, Average Loss  1.192562, Time  0.442429
2021-09-27 17:14:14.917975 : Epoch  8, Batch    702, Loss  1.191202, Average Loss  1.192548, Time  0.441244
2021-09-27 17:14:20.872568 : Epoch  8, Batch    703, Loss  1.163347, Average Loss  1.192476, Time  0.448008
2021-09-27 17:14:26.825343 : Epoch  8, Batch    704, Loss  1.192342, Average Loss  1.192432, Time  0.440139
2021-09-27 17:19:04.572723 : CheckPoint: Validation Loss  0.00020733, Best Loss  0.00020284
2021-09-27 17:19:10.497223 : Epoch  8, Batch    705, Loss  1.184499, Average Loss  1.192488, Time  0.439192
2021-09-27 17:19:16.408850 : Epoch  8, Batch    706, Loss  1.175810, Average Loss  1.192393, Time  0.443022
2021-09-27 17:19:22.333683 : Epoch  8, Batch    707, Loss  1.182692, Average Loss  1.192390, Time  0.441941
2021-09-27 17:19:28.258812 : Epoch  8, Batch    708, Loss  1.190164, Average Loss  1.192281, Time  0.447861
2021-09-27 17:19:34.187794 : Epoch  8, Batch    709, Loss  1.181235, Average Loss  1.192189, Time  0.444215
2021-09-27 17:19:40.123342 : Epoch  8, Batch    710, Loss  1.205368, Average Loss  1.192292, Time  0.458285
2021-09-27 17:19:46.035780 : Epoch  8, Batch    711, Loss  1.189890, Average Loss  1.192359, Time  0.439638
2021-09-27 17:19:51.955736 : Epoch  8, Batch    712, Loss  1.202286, Average Loss  1.192408, Time  0.445869
2021-09-27 17:19:57.863104 : Epoch  8, Batch    713, Loss  1.192566, Average Loss  1.192355, Time  0.440335
2021-09-27 17:20:03.782720 : Epoch  8, Batch    714, Loss  1.179764, Average Loss  1.192188, Time  0.440173
2021-09-27 17:20:09.703772 : Epoch  8, Batch    715, Loss  1.204101, Average Loss  1.192223, Time  0.439115
2021-09-27 17:20:15.629943 : Epoch  8, Batch    716, Loss  1.199444, Average Loss  1.192224, Time  0.443144
2021-09-27 17:20:21.532216 : Epoch  8, Batch    717, Loss  1.203976, Average Loss  1.192272, Time  0.441689
2021-09-27 17:20:27.453030 : Epoch  8, Batch    718, Loss  1.193073, Average Loss  1.192292, Time  0.455974
2021-09-27 17:20:33.373989 : Epoch  8, Batch    719, Loss  1.193043, Average Loss  1.192312, Time  0.440019
2021-09-27 17:20:39.281339 : Epoch  8, Batch    720, Loss  1.188630, Average Loss  1.192278, Time  0.441466
2021-09-27 17:20:45.211055 : Epoch  8, Batch    721, Loss  1.200274, Average Loss  1.192253, Time  0.442019
2021-09-27 17:20:51.154092 : Epoch  8, Batch    722, Loss  1.170396, Average Loss  1.192068, Time  0.445261
2021-09-27 17:20:57.068984 : Epoch  8, Batch    723, Loss  1.210513, Average Loss  1.192164, Time  0.440866
2021-09-27 17:21:02.990566 : Epoch  8, Batch    724, Loss  1.179835, Average Loss  1.192071, Time  0.440933
2021-09-27 17:21:08.924757 : Epoch  8, Batch    725, Loss  1.204350, Average Loss  1.192097, Time  0.439887
2021-09-27 17:21:14.874142 : Epoch  8, Batch    726, Loss  1.198444, Average Loss  1.192029, Time  0.455879
2021-09-27 17:21:20.796182 : Epoch  8, Batch    727, Loss  1.201643, Average Loss  1.192028, Time  0.441839
2021-09-27 17:21:26.708752 : Epoch  8, Batch    728, Loss  1.188536, Average Loss  1.191935, Time  0.439446
2021-09-27 17:21:32.624852 : Epoch  8, Batch    729, Loss  1.182802, Average Loss  1.191896, Time  0.439644
2021-09-27 17:21:38.541641 : Epoch  8, Batch    730, Loss  1.196260, Average Loss  1.191981, Time  0.438976
2021-09-27 17:21:44.467767 : Epoch  8, Batch    731, Loss  1.205278, Average Loss  1.192057, Time  0.441128
2021-09-27 17:21:50.389839 : Epoch  8, Batch    732, Loss  1.186246, Average Loss  1.192036, Time  0.440996
2021-09-27 17:21:56.332519 : Epoch  8, Batch    733, Loss  1.198213, Average Loss  1.192137, Time  0.439598
2021-09-27 17:22:02.265568 : Epoch  8, Batch    734, Loss  1.178648, Average Loss  1.192003, Time  0.450504
2021-09-27 17:22:08.177968 : Epoch  8, Batch    735, Loss  1.185618, Average Loss  1.191928, Time  0.441577
2021-09-27 17:22:14.098640 : Epoch  8, Batch    736, Loss  1.184520, Average Loss  1.191891, Time  0.446223
2021-09-27 17:22:20.021830 : Epoch  8, Batch    737, Loss  1.194854, Average Loss  1.191906, Time  0.440304
2021-09-27 17:22:25.928106 : Epoch  8, Batch    738, Loss  1.196904, Average Loss  1.191895, Time  0.438418
2021-09-27 17:22:31.837142 : Epoch  8, Batch    739, Loss  1.192517, Average Loss  1.191935, Time  0.441384
2021-09-27 17:22:37.714872 : Epoch  8, Batch    740, Loss  1.206942, Average Loss  1.192025, Time  0.439605
2021-09-27 17:22:43.596969 : Epoch  8, Batch    741, Loss  1.195260, Average Loss  1.192113, Time  0.438512
2021-09-27 17:22:49.512788 : Epoch  8, Batch    742, Loss  1.179932, Average Loss  1.192068, Time  0.450946
2021-09-27 17:22:55.427625 : Epoch  8, Batch    743, Loss  1.209211, Average Loss  1.192124, Time  0.441300
2021-09-27 17:23:01.336188 : Epoch  8, Batch    744, Loss  1.199711, Average Loss  1.192198, Time  0.441899
2021-09-27 17:23:07.240504 : Epoch  8, Batch    745, Loss  1.198545, Average Loss  1.192197, Time  0.439491
2021-09-27 17:23:13.129157 : Epoch  8, Batch    746, Loss  1.194403, Average Loss  1.192213, Time  0.440420
2021-09-27 17:23:19.029639 : Epoch  8, Batch    747, Loss  1.184948, Average Loss  1.192180, Time  0.440197
2021-09-27 17:23:24.929865 : Epoch  8, Batch    748, Loss  1.196764, Average Loss  1.192117, Time  0.441291
2021-09-27 17:23:30.820768 : Epoch  8, Batch    749, Loss  1.198608, Average Loss  1.192141, Time  0.440420
2021-09-27 17:23:36.735936 : Epoch  8, Batch    750, Loss  1.190302, Average Loss  1.192131, Time  0.455588
2021-09-27 17:23:42.646656 : Epoch  8, Batch    751, Loss  1.192143, Average Loss  1.192156, Time  0.440437
2021-09-27 17:23:48.543428 : Epoch  8, Batch    752, Loss  1.190304, Average Loss  1.192137, Time  0.439837
2021-09-27 17:23:54.440666 : Epoch  8, Batch    753, Loss  1.181823, Average Loss  1.192092, Time  0.440150
2021-09-27 17:24:00.352618 : Epoch  8, Batch    754, Loss  1.184130, Average Loss  1.191963, Time  0.439831
2021-09-27 17:24:06.258881 : Epoch  8, Batch    755, Loss  1.191079, Average Loss  1.191966, Time  0.438988
2021-09-27 17:24:12.171297 : Epoch  8, Batch    756, Loss  1.215362, Average Loss  1.192038, Time  0.439193
2021-09-27 17:24:18.060757 : Epoch  8, Batch    757, Loss  1.192029, Average Loss  1.192072, Time  0.438709
2021-09-27 17:24:23.962227 : Epoch  8, Batch    758, Loss  1.193594, Average Loss  1.192098, Time  0.449806
2021-09-27 17:24:29.867433 : Epoch  8, Batch    759, Loss  1.172996, Average Loss  1.191945, Time  0.438709
2021-09-27 17:24:35.762755 : Epoch  8, Batch    760, Loss  1.184142, Average Loss  1.191895, Time  0.439169
2021-09-27 17:24:41.659534 : Epoch  8, Batch    761, Loss  1.188128, Average Loss  1.191913, Time  0.439955
2021-09-27 17:24:47.548623 : Epoch  8, Batch    762, Loss  1.186414, Average Loss  1.191847, Time  0.438731
2021-09-27 17:24:53.440695 : Epoch  8, Batch    763, Loss  1.200148, Average Loss  1.191980, Time  0.439106
2021-09-27 17:24:59.340513 : Epoch  8, Batch    764, Loss  1.185174, Average Loss  1.191928, Time  0.442522
2021-09-27 17:25:05.255832 : Epoch  8, Batch    765, Loss  1.186541, Average Loss  1.191816, Time  0.444010
2021-09-27 17:25:11.169577 : Epoch  8, Batch    766, Loss  1.209718, Average Loss  1.191910, Time  0.456861
2021-09-27 17:25:17.058777 : Epoch  8, Batch    767, Loss  1.190923, Average Loss  1.191960, Time  0.439791
2021-09-27 17:25:22.955886 : Epoch  8, Batch    768, Loss  1.178325, Average Loss  1.191927, Time  0.439412
2021-09-27 17:25:28.856533 : Epoch  8, Batch    769, Loss  1.203065, Average Loss  1.191984, Time  0.438479
2021-09-27 17:25:34.764746 : Epoch  8, Batch    770, Loss  1.173975, Average Loss  1.191859, Time  0.439324
2021-09-27 17:25:40.664121 : Epoch  8, Batch    771, Loss  1.183589, Average Loss  1.191789, Time  0.439867
2021-09-27 17:25:46.570671 : Epoch  8, Batch    772, Loss  1.192279, Average Loss  1.191758, Time  0.439355
2021-09-27 17:25:52.458002 : Epoch  8, Batch    773, Loss  1.177807, Average Loss  1.191739, Time  0.441170
2021-09-27 17:25:58.378881 : Epoch  8, Batch    774, Loss  1.177045, Average Loss  1.191663, Time  0.452298
2021-09-27 17:26:04.284423 : Epoch  8, Batch    775, Loss  1.190646, Average Loss  1.191587, Time  0.442610
2021-09-27 17:26:10.195136 : Epoch  8, Batch    776, Loss  1.196956, Average Loss  1.191639, Time  0.443930
2021-09-27 17:26:16.101833 : Epoch  8, Batch    777, Loss  1.186718, Average Loss  1.191645, Time  0.441089
2021-09-27 17:26:22.003736 : Epoch  8, Batch    778, Loss  1.188548, Average Loss  1.191611, Time  0.439174
2021-09-27 17:26:27.881376 : Epoch  8, Batch    779, Loss  1.197899, Average Loss  1.191614, Time  0.440069
2021-09-27 17:26:33.782798 : Epoch  8, Batch    780, Loss  1.193118, Average Loss  1.191633, Time  0.444180
2021-09-27 17:26:39.673765 : Epoch  8, Batch    781, Loss  1.187589, Average Loss  1.191604, Time  0.439540
2021-09-27 17:26:45.575315 : Epoch  8, Batch    782, Loss  1.180586, Average Loss  1.191645, Time  0.456410
2021-09-27 17:26:51.472139 : Epoch  8, Batch    783, Loss  1.183432, Average Loss  1.191632, Time  0.440687
2021-09-27 17:26:57.386522 : Epoch  8, Batch    784, Loss  1.198213, Average Loss  1.191698, Time  0.440219
2021-09-27 17:27:03.290776 : Epoch  8, Batch    785, Loss  1.198444, Average Loss  1.191747, Time  0.438729
2021-09-27 17:27:09.186854 : Epoch  8, Batch    786, Loss  1.177194, Average Loss  1.191618, Time  0.442409
2021-09-27 17:27:15.083198 : Epoch  8, Batch    787, Loss  1.197131, Average Loss  1.191673, Time  0.438923
2021-09-27 17:27:20.982761 : Epoch  8, Batch    788, Loss  1.188381, Average Loss  1.191649, Time  0.440070
2021-09-27 17:27:26.886784 : Epoch  8, Batch    789, Loss  1.185449, Average Loss  1.191662, Time  0.444151
2021-09-27 17:27:32.779485 : Epoch  8, Batch    790, Loss  1.184794, Average Loss  1.191675, Time  0.451796
2021-09-27 17:27:38.675039 : Epoch  8, Batch    791, Loss  1.178015, Average Loss  1.191604, Time  0.440847
2021-09-27 17:27:44.584994 : Epoch  8, Batch    792, Loss  1.204238, Average Loss  1.191665, Time  0.441101
2021-09-27 17:27:50.485745 : Epoch  8, Batch    793, Loss  1.207636, Average Loss  1.191741, Time  0.440108
2021-09-27 17:27:56.412861 : Epoch  8, Batch    794, Loss  1.195263, Average Loss  1.191780, Time  0.441861
2021-09-27 17:28:02.294821 : Epoch  8, Batch    795, Loss  1.194545, Average Loss  1.191770, Time  0.439136
2021-09-27 17:28:08.181554 : Epoch  8, Batch    796, Loss  1.180233, Average Loss  1.191644, Time  0.439558
2021-09-27 17:28:14.057737 : Epoch  8, Batch    797, Loss  1.188064, Average Loss  1.191523, Time  0.442218
2021-09-27 17:28:19.970924 : Epoch  8, Batch    798, Loss  1.195536, Average Loss  1.191559, Time  0.446148
2021-09-27 17:28:25.864525 : Epoch  8, Batch    799, Loss  1.198268, Average Loss  1.191586, Time  0.438682
2021-09-27 17:28:31.762055 : Epoch  8, Batch    800, Loss  1.180100, Average Loss  1.191474, Time  0.439001
2021-09-27 17:28:37.654614 : Epoch  8, Batch    801, Loss  1.211460, Average Loss  1.191561, Time  0.439146
2021-09-27 17:28:43.557888 : Epoch  8, Batch    802, Loss  1.186075, Average Loss  1.191543, Time  0.439285
2021-09-27 17:28:49.456152 : Epoch  8, Batch    803, Loss  1.200057, Average Loss  1.191607, Time  0.439241
2021-09-27 17:28:55.372918 : Epoch  8, Batch    804, Loss  1.206291, Average Loss  1.191592, Time  0.441209
2021-09-27 17:33:33.567788 : CheckPoint: Validation Loss  0.00020753, Best Loss  0.00020284
2021-09-27 17:33:39.489866 : Epoch  8, Batch    805, Loss  1.183152, Average Loss  1.191550, Time  0.447438
2021-09-27 17:33:45.436481 : Epoch  8, Batch    806, Loss  1.194719, Average Loss  1.191496, Time  0.439154
2021-09-27 17:33:51.385511 : Epoch  8, Batch    807, Loss  1.202573, Average Loss  1.191590, Time  0.438454
2021-09-27 17:33:57.322590 : Epoch  8, Batch    808, Loss  1.192909, Average Loss  1.191554, Time  0.440493
2021-09-27 17:34:03.284693 : Epoch  8, Batch    809, Loss  1.191779, Average Loss  1.191515, Time  0.438863
2021-09-27 17:34:09.228261 : Epoch  8, Batch    810, Loss  1.185035, Average Loss  1.191478, Time  0.440382
2021-09-27 17:34:15.180752 : Epoch  8, Batch    811, Loss  1.194570, Average Loss  1.191488, Time  0.439564
2021-09-27 17:34:21.121241 : Epoch  8, Batch    812, Loss  1.202191, Average Loss  1.191549, Time  0.438691
2021-09-27 17:34:27.073225 : Epoch  8, Batch    813, Loss  1.188773, Average Loss  1.191544, Time  0.451553
2021-09-27 17:34:32.995469 : Epoch  8, Batch    814, Loss  1.192148, Average Loss  1.191489, Time  0.440305
2021-09-27 17:34:38.929837 : Epoch  8, Batch    815, Loss  1.197485, Average Loss  1.191511, Time  0.441301
2021-09-27 17:34:44.867000 : Epoch  8, Batch    816, Loss  1.183314, Average Loss  1.191541, Time  0.446895
2021-09-27 17:34:50.810288 : Epoch  8, Batch    817, Loss  1.194506, Average Loss  1.191566, Time  0.438559
2021-09-27 17:34:56.747060 : Epoch  8, Batch    818, Loss  1.197506, Average Loss  1.191592, Time  0.440388
2021-09-27 17:35:02.687444 : Epoch  8, Batch    819, Loss  1.220128, Average Loss  1.191700, Time  0.440049
2021-09-27 17:35:08.615340 : Epoch  8, Batch    820, Loss  1.189373, Average Loss  1.191675, Time  0.439086
2021-09-27 17:35:14.579786 : Epoch  8, Batch    821, Loss  1.195777, Average Loss  1.191724, Time  0.450125
2021-09-27 17:35:20.511309 : Epoch  8, Batch    822, Loss  1.200446, Average Loss  1.191813, Time  0.438379
2021-09-27 17:35:26.473858 : Epoch  8, Batch    823, Loss  1.196191, Average Loss  1.191805, Time  0.441120
2021-09-27 17:35:32.393866 : Epoch  8, Batch    824, Loss  1.200660, Average Loss  1.191782, Time  0.440165
2021-09-27 17:35:38.327655 : Epoch  8, Batch    825, Loss  1.189192, Average Loss  1.191774, Time  0.440422
2021-09-27 17:35:44.250843 : Epoch  8, Batch    826, Loss  1.179550, Average Loss  1.191630, Time  0.439151
2021-09-27 17:35:50.189936 : Epoch  8, Batch    827, Loss  1.204347, Average Loss  1.191667, Time  0.439963
2021-09-27 17:35:56.140298 : Epoch  8, Batch    828, Loss  1.178946, Average Loss  1.191694, Time  0.441420
2021-09-27 17:36:02.087118 : Epoch  8, Batch    829, Loss  1.194159, Average Loss  1.191683, Time  0.456159
2021-09-27 17:36:08.023072 : Epoch  8, Batch    830, Loss  1.185106, Average Loss  1.191668, Time  0.439981
2021-09-27 17:36:13.972680 : Epoch  8, Batch    831, Loss  1.164827, Average Loss  1.191517, Time  0.440922
2021-09-27 17:36:19.914396 : Epoch  8, Batch    832, Loss  1.176193, Average Loss  1.191412, Time  0.439553
2021-09-27 17:36:25.853731 : Epoch  8, Batch    833, Loss  1.204572, Average Loss  1.191567, Time  0.440120
2021-09-27 17:36:31.823261 : Epoch  8, Batch    834, Loss  1.187513, Average Loss  1.191541, Time  0.443602
2021-09-27 17:36:37.772504 : Epoch  8, Batch    835, Loss  1.188646, Average Loss  1.191516, Time  0.438931
2021-09-27 17:36:43.725026 : Epoch  8, Batch    836, Loss  1.192998, Average Loss  1.191571, Time  0.454154
2021-09-27 17:36:49.661280 : Epoch  8, Batch    837, Loss  1.195516, Average Loss  1.191622, Time  0.443014
2021-09-27 17:36:55.612057 : Epoch  8, Batch    838, Loss  1.180696, Average Loss  1.191611, Time  0.441625
2021-09-27 17:37:01.548099 : Epoch  8, Batch    839, Loss  1.190577, Average Loss  1.191582, Time  0.439166
2021-09-27 17:37:07.493357 : Epoch  8, Batch    840, Loss  1.189501, Average Loss  1.191530, Time  0.439678
2021-09-27 17:37:13.456069 : Epoch  8, Batch    841, Loss  1.190174, Average Loss  1.191531, Time  0.440985
2021-09-27 17:37:19.394807 : Epoch  8, Batch    842, Loss  1.206994, Average Loss  1.191657, Time  0.441072
2021-09-27 17:37:25.345655 : Epoch  8, Batch    843, Loss  1.190886, Average Loss  1.191669, Time  0.439455
2021-09-27 17:37:31.311250 : Epoch  8, Batch    844, Loss  1.182383, Average Loss  1.191623, Time  0.456240
2021-09-27 17:37:37.227740 : Epoch  8, Batch    845, Loss  1.179441, Average Loss  1.191523, Time  0.438951
2021-09-27 17:37:43.157935 : Epoch  8, Batch    846, Loss  1.200670, Average Loss  1.191541, Time  0.441483
2021-09-27 17:37:49.091863 : Epoch  8, Batch    847, Loss  1.193236, Average Loss  1.191533, Time  0.440474
2021-09-27 17:37:55.014492 : Epoch  8, Batch    848, Loss  1.182473, Average Loss  1.191475, Time  0.439400
2021-09-27 17:38:00.954633 : Epoch  8, Batch    849, Loss  1.186461, Average Loss  1.191434, Time  0.438781
2021-09-27 17:38:06.867959 : Epoch  8, Batch    850, Loss  1.201300, Average Loss  1.191453, Time  0.439376
2021-09-27 17:38:12.799776 : Epoch  8, Batch    851, Loss  1.182950, Average Loss  1.191388, Time  0.438765
2021-09-27 17:38:18.794203 : Epoch  8, Batch    852, Loss  1.212290, Average Loss  1.191544, Time  0.455895
2021-09-27 17:38:24.710828 : Epoch  8, Batch    853, Loss  1.187980, Average Loss  1.191525, Time  0.439461
2021-09-27 17:38:30.660445 : Epoch  8, Batch    854, Loss  1.189579, Average Loss  1.191445, Time  0.440636
2021-09-27 17:38:36.613737 : Epoch  8, Batch    855, Loss  1.199311, Average Loss  1.191515, Time  0.438858
2021-09-27 17:38:42.561707 : Epoch  8, Batch    856, Loss  1.174421, Average Loss  1.191445, Time  0.438579
2021-09-27 17:38:48.498758 : Epoch  8, Batch    857, Loss  1.209115, Average Loss  1.191521, Time  0.443539
2021-09-27 17:38:54.454472 : Epoch  8, Batch    858, Loss  1.222738, Average Loss  1.191640, Time  0.443767
2021-09-27 17:39:00.395821 : Epoch  8, Batch    859, Loss  1.211816, Average Loss  1.191699, Time  0.440605
2021-09-27 17:39:06.352527 : Epoch  8, Batch    860, Loss  1.187064, Average Loss  1.191765, Time  0.449172
2021-09-27 17:39:12.299008 : Epoch  8, Batch    861, Loss  1.203846, Average Loss  1.191804, Time  0.442110
2021-09-27 17:39:18.221479 : Epoch  8, Batch    862, Loss  1.211717, Average Loss  1.191938, Time  0.439808
2021-09-27 17:39:24.160087 : Epoch  8, Batch    863, Loss  1.177976, Average Loss  1.191859, Time  0.440991
2021-09-27 17:39:30.097905 : Epoch  8, Batch    864, Loss  1.203263, Average Loss  1.191937, Time  0.439473
2021-09-27 17:39:36.030842 : Epoch  8, Batch    865, Loss  1.184232, Average Loss  1.191953, Time  0.439267
2021-09-27 17:39:41.993751 : Epoch  8, Batch    866, Loss  1.189174, Average Loss  1.191899, Time  0.439074
2021-09-27 17:39:47.954688 : Epoch  8, Batch    867, Loss  1.186550, Average Loss  1.191840, Time  0.450484
2021-09-27 17:39:53.891653 : Epoch  8, Batch    868, Loss  1.213543, Average Loss  1.191909, Time  0.442166
2021-09-27 17:39:59.843400 : Epoch  8, Batch    869, Loss  1.177784, Average Loss  1.191828, Time  0.442698
2021-09-27 17:40:05.790383 : Epoch  8, Batch    870, Loss  1.187091, Average Loss  1.191825, Time  0.439486
2021-09-27 17:40:11.732492 : Epoch  8, Batch    871, Loss  1.211314, Average Loss  1.191896, Time  0.439391
2021-09-27 17:40:17.655665 : Epoch  8, Batch    872, Loss  1.180480, Average Loss  1.191942, Time  0.440369
2021-09-27 17:40:23.604798 : Epoch  8, Batch    873, Loss  1.179169, Average Loss  1.191868, Time  0.441688
2021-09-27 17:40:29.525806 : Epoch  8, Batch    874, Loss  1.189820, Average Loss  1.191889, Time  0.441257
2021-09-27 17:40:35.454361 : Epoch  8, Batch    875, Loss  1.195751, Average Loss  1.191930, Time  0.444675
2021-09-27 17:40:41.411469 : Epoch  8, Batch    876, Loss  1.193643, Average Loss  1.191924, Time  0.438937
2021-09-27 17:40:47.351073 : Epoch  8, Batch    877, Loss  1.190768, Average Loss  1.191957, Time  0.440022
2021-09-27 17:40:53.295465 : Epoch  8, Batch    878, Loss  1.195809, Average Loss  1.192024, Time  0.439637
2021-09-27 17:40:59.221244 : Epoch  8, Batch    879, Loss  1.188197, Average Loss  1.192082, Time  0.440232
2021-09-27 17:41:05.141332 : Epoch  8, Batch    880, Loss  1.203164, Average Loss  1.192184, Time  0.439290
2021-09-27 17:41:11.069783 : Epoch  8, Batch    881, Loss  1.179595, Average Loss  1.192142, Time  0.439312
2021-09-27 17:41:17.008782 : Epoch  8, Batch    882, Loss  1.204879, Average Loss  1.192296, Time  0.438518
2021-09-27 17:41:22.968848 : Epoch  8, Batch    883, Loss  1.183148, Average Loss  1.192219, Time  0.455278
2021-09-27 17:41:28.918534 : Epoch  8, Batch    884, Loss  1.197251, Average Loss  1.192220, Time  0.441876
2021-09-27 17:41:34.854179 : Epoch  8, Batch    885, Loss  1.201662, Average Loss  1.192275, Time  0.441003
2021-09-27 17:41:40.813861 : Epoch  8, Batch    886, Loss  1.201256, Average Loss  1.192298, Time  0.445642
2021-09-27 17:41:46.755400 : Epoch  8, Batch    887, Loss  1.205716, Average Loss  1.192345, Time  0.439514
2021-09-27 17:41:52.717835 : Epoch  8, Batch    888, Loss  1.193186, Average Loss  1.192430, Time  0.439273
2021-09-27 17:41:58.651820 : Epoch  8, Batch    889, Loss  1.195875, Average Loss  1.192463, Time  0.439166
2021-09-27 17:42:04.591764 : Epoch  8, Batch    890, Loss  1.180837, Average Loss  1.192414, Time  0.441113
2021-09-27 17:42:10.552796 : Epoch  8, Batch    891, Loss  1.200328, Average Loss  1.192453, Time  0.448975
2021-09-27 17:42:16.486486 : Epoch  8, Batch    892, Loss  1.190861, Average Loss  1.192384, Time  0.439412
2021-09-27 17:42:22.424160 : Epoch  8, Batch    893, Loss  1.186670, Average Loss  1.192347, Time  0.441478
2021-09-27 17:42:26.800755 : Epoch  8, Batch    894, Loss  1.189615, Average Loss  1.192346, Time  0.340588
2021-09-27 17:42:32.716477 : Epoch  8, Batch    895, Loss  1.196596, Average Loss  1.192336, Time  0.439023
2021-09-27 17:42:38.656496 : Epoch  8, Batch    896, Loss  1.193870, Average Loss  1.192291, Time  0.439789
2021-09-27 17:42:44.584901 : Epoch  8, Batch    897, Loss  1.201540, Average Loss  1.192288, Time  0.438995
2021-09-27 17:42:50.514468 : Epoch  8, Batch    898, Loss  1.198940, Average Loss  1.192257, Time  0.441111
2021-09-27 17:42:56.468218 : Epoch  8, Batch    899, Loss  1.195964, Average Loss  1.192273, Time  0.451161
2021-09-27 17:43:02.392787 : Epoch  8, Batch    900, Loss  1.177264, Average Loss  1.192180, Time  0.441599
2021-09-27 17:43:08.328764 : Epoch  8, Batch    901, Loss  1.182980, Average Loss  1.192168, Time  0.438864
2021-09-27 17:43:14.277795 : Epoch  8, Batch    902, Loss  1.195847, Average Loss  1.192192, Time  0.442203
2021-09-27 17:43:20.226207 : Epoch  8, Batch    903, Loss  1.184012, Average Loss  1.192295, Time  0.439862
2021-09-27 17:43:26.152165 : Epoch  8, Batch    904, Loss  1.195734, Average Loss  1.192312, Time  0.441478
2021-09-27 17:48:02.760733 : CheckPoint: Validation Loss  0.00020377, Best Loss  0.00020284
2021-09-27 17:48:08.676500 : Epoch  8, Batch    905, Loss  1.192235, Average Loss  1.192351, Time  0.440444
2021-09-27 17:48:14.593982 : Epoch  8, Batch    906, Loss  1.187104, Average Loss  1.192407, Time  0.440675
2021-09-27 17:48:20.507250 : Epoch  8, Batch    907, Loss  1.205928, Average Loss  1.192523, Time  0.449078
2021-09-27 17:48:26.427907 : Epoch  8, Batch    908, Loss  1.205733, Average Loss  1.192601, Time  0.441462
2021-09-27 17:48:32.328679 : Epoch  8, Batch    909, Loss  1.199890, Average Loss  1.192694, Time  0.439695
2021-09-27 17:48:38.230354 : Epoch  8, Batch    910, Loss  1.200354, Average Loss  1.192669, Time  0.438989
2021-09-27 17:48:44.143672 : Epoch  8, Batch    911, Loss  1.192964, Average Loss  1.192685, Time  0.440722
2021-09-27 17:48:50.057657 : Epoch  8, Batch    912, Loss  1.191064, Average Loss  1.192629, Time  0.439166
2021-09-27 17:48:55.968900 : Epoch  8, Batch    913, Loss  1.188413, Average Loss  1.192608, Time  0.440262
2021-09-27 17:49:01.881743 : Epoch  8, Batch    914, Loss  1.194237, Average Loss  1.192680, Time  0.440636
2021-09-27 17:49:07.802641 : Epoch  8, Batch    915, Loss  1.207542, Average Loss  1.192697, Time  0.450752
2021-09-27 17:49:13.713499 : Epoch  8, Batch    916, Loss  1.198596, Average Loss  1.192693, Time  0.440024
2021-09-27 17:49:19.637363 : Epoch  8, Batch    917, Loss  1.185232, Average Loss  1.192599, Time  0.442030
2021-09-27 17:49:25.552341 : Epoch  8, Batch    918, Loss  1.185198, Average Loss  1.192560, Time  0.440856
2021-09-27 17:49:31.467788 : Epoch  8, Batch    919, Loss  1.198296, Average Loss  1.192586, Time  0.441587
2021-09-27 17:49:37.369314 : Epoch  8, Batch    920, Loss  1.186829, Average Loss  1.192577, Time  0.441011
2021-09-27 17:49:43.287320 : Epoch  8, Batch    921, Loss  1.190968, Average Loss  1.192531, Time  0.439218
2021-09-27 17:49:49.200737 : Epoch  8, Batch    922, Loss  1.212174, Average Loss  1.192740, Time  0.439985
2021-09-27 17:49:55.121306 : Epoch  8, Batch    923, Loss  1.207076, Average Loss  1.192723, Time  0.448771
2021-09-27 17:50:01.034535 : Epoch  8, Batch    924, Loss  1.183193, Average Loss  1.192739, Time  0.442556
2021-09-27 17:50:06.959068 : Epoch  8, Batch    925, Loss  1.193267, Average Loss  1.192684, Time  0.439226
2021-09-27 17:50:12.864784 : Epoch  8, Batch    926, Loss  1.182437, Average Loss  1.192604, Time  0.442517
2021-09-27 17:50:18.771175 : Epoch  8, Batch    927, Loss  1.170178, Average Loss  1.192447, Time  0.439403
2021-09-27 17:50:24.686158 : Epoch  8, Batch    928, Loss  1.219414, Average Loss  1.192601, Time  0.441858
2021-09-27 17:50:24.724205 : Saving Model after 8-th Epoch.
2021-09-27 17:50:25.407529 : Epoch Finished.
2021-09-27 17:50:30.980656 : Batch Shuffled
2021-09-27 17:50:36.898751 : Epoch  9, Batch      1, Loss  1.205180, Average Loss  1.192713, Time  0.440194
2021-09-27 17:50:42.826206 : Epoch  9, Batch      2, Loss  1.201163, Average Loss  1.192737, Time  0.458106
2021-09-27 17:50:48.728841 : Epoch  9, Batch      3, Loss  1.193614, Average Loss  1.192679, Time  0.440038
2021-09-27 17:50:54.639836 : Epoch  9, Batch      4, Loss  1.189445, Average Loss  1.192695, Time  0.441796
2021-09-27 17:51:00.554083 : Epoch  9, Batch      5, Loss  1.214427, Average Loss  1.192776, Time  0.441426
2021-09-27 17:51:06.462843 : Epoch  9, Batch      6, Loss  1.188283, Average Loss  1.192824, Time  0.442583
2021-09-27 17:51:12.384732 : Epoch  9, Batch      7, Loss  1.197904, Average Loss  1.192886, Time  0.440459
2021-09-27 17:51:18.292919 : Epoch  9, Batch      8, Loss  1.190440, Average Loss  1.192915, Time  0.439424
2021-09-27 17:51:24.193800 : Epoch  9, Batch      9, Loss  1.196642, Average Loss  1.192924, Time  0.438836
2021-09-27 17:51:30.114906 : Epoch  9, Batch     10, Loss  1.203482, Average Loss  1.192957, Time  0.457098
2021-09-27 17:51:36.017899 : Epoch  9, Batch     11, Loss  1.188851, Average Loss  1.192939, Time  0.439057
2021-09-27 17:51:41.922913 : Epoch  9, Batch     12, Loss  1.178426, Average Loss  1.192796, Time  0.439042
2021-09-27 17:51:47.825607 : Epoch  9, Batch     13, Loss  1.194796, Average Loss  1.192794, Time  0.442610
2021-09-27 17:51:53.717032 : Epoch  9, Batch     14, Loss  1.189051, Average Loss  1.192839, Time  0.438951
2021-09-27 17:51:59.628375 : Epoch  9, Batch     15, Loss  1.184839, Average Loss  1.192718, Time  0.439851
2021-09-27 17:52:05.530839 : Epoch  9, Batch     16, Loss  1.197569, Average Loss  1.192707, Time  0.440351
2021-09-27 17:52:11.447789 : Epoch  9, Batch     17, Loss  1.184235, Average Loss  1.192635, Time  0.439917
2021-09-27 17:52:17.358051 : Epoch  9, Batch     18, Loss  1.184358, Average Loss  1.192585, Time  0.451564
2021-09-27 17:52:23.277771 : Epoch  9, Batch     19, Loss  1.184400, Average Loss  1.192582, Time  0.439267
2021-09-27 17:52:29.187001 : Epoch  9, Batch     20, Loss  1.179809, Average Loss  1.192498, Time  0.439933
2021-09-27 17:52:35.091175 : Epoch  9, Batch     21, Loss  1.186394, Average Loss  1.192437, Time  0.440392
2021-09-27 17:52:40.986523 : Epoch  9, Batch     22, Loss  1.199640, Average Loss  1.192483, Time  0.439060
2021-09-27 17:52:46.891742 : Epoch  9, Batch     23, Loss  1.214252, Average Loss  1.192594, Time  0.439069
2021-09-27 17:52:52.793578 : Epoch  9, Batch     24, Loss  1.208006, Average Loss  1.192682, Time  0.442429
2021-09-27 17:52:58.698574 : Epoch  9, Batch     25, Loss  1.195290, Average Loss  1.192750, Time  0.441436
2021-09-27 17:53:04.601574 : Epoch  9, Batch     26, Loss  1.191435, Average Loss  1.192786, Time  0.450726
2021-09-27 17:53:10.506750 : Epoch  9, Batch     27, Loss  1.176595, Average Loss  1.192714, Time  0.440839
2021-09-27 17:53:16.414235 : Epoch  9, Batch     28, Loss  1.202617, Average Loss  1.192650, Time  0.439625
2021-09-27 17:53:22.324175 : Epoch  9, Batch     29, Loss  1.182938, Average Loss  1.192605, Time  0.440083
2021-09-27 17:53:28.235799 : Epoch  9, Batch     30, Loss  1.177914, Average Loss  1.192526, Time  0.439907
2021-09-27 17:53:34.138929 : Epoch  9, Batch     31, Loss  1.166539, Average Loss  1.192494, Time  0.442461
2021-09-27 17:53:40.041817 : Epoch  9, Batch     32, Loss  1.191388, Average Loss  1.192530, Time  0.439153
2021-09-27 17:53:45.945799 : Epoch  9, Batch     33, Loss  1.174515, Average Loss  1.192462, Time  0.440716
2021-09-27 17:53:51.855183 : Epoch  9, Batch     34, Loss  1.196473, Average Loss  1.192512, Time  0.453339
2021-09-27 17:53:57.758069 : Epoch  9, Batch     35, Loss  1.211737, Average Loss  1.192570, Time  0.439612
2021-09-27 17:54:03.657463 : Epoch  9, Batch     36, Loss  1.185107, Average Loss  1.192570, Time  0.440656
2021-09-27 17:54:09.576920 : Epoch  9, Batch     37, Loss  1.196043, Average Loss  1.192617, Time  0.442102
2021-09-27 17:54:15.469451 : Epoch  9, Batch     38, Loss  1.201798, Average Loss  1.192578, Time  0.439839
2021-09-27 17:54:21.370731 : Epoch  9, Batch     39, Loss  1.191128, Average Loss  1.192579, Time  0.441270
2021-09-27 17:54:27.271965 : Epoch  9, Batch     40, Loss  1.179525, Average Loss  1.192585, Time  0.439952
2021-09-27 17:54:33.186571 : Epoch  9, Batch     41, Loss  1.189747, Average Loss  1.192518, Time  0.442489
2021-09-27 17:54:39.092562 : Epoch  9, Batch     42, Loss  1.211541, Average Loss  1.192706, Time  0.446570
2021-09-27 17:54:45.000102 : Epoch  9, Batch     43, Loss  1.195188, Average Loss  1.192764, Time  0.440185
2021-09-27 17:54:50.909536 : Epoch  9, Batch     44, Loss  1.197145, Average Loss  1.192788, Time  0.440741
2021-09-27 17:54:56.816222 : Epoch  9, Batch     45, Loss  1.195684, Average Loss  1.192878, Time  0.440155
2021-09-27 17:55:02.731026 : Epoch  9, Batch     46, Loss  1.190948, Average Loss  1.192947, Time  0.440164
2021-09-27 17:55:08.625257 : Epoch  9, Batch     47, Loss  1.197126, Average Loss  1.192980, Time  0.439429
2021-09-27 17:55:14.531326 : Epoch  9, Batch     48, Loss  1.197620, Average Loss  1.192983, Time  0.441908
2021-09-27 17:55:20.434341 : Epoch  9, Batch     49, Loss  1.181697, Average Loss  1.192958, Time  0.440179
2021-09-27 17:55:26.343150 : Epoch  9, Batch     50, Loss  1.210175, Average Loss  1.193066, Time  0.450993
2021-09-27 17:55:32.237281 : Epoch  9, Batch     51, Loss  1.200797, Average Loss  1.193081, Time  0.442237
2021-09-27 17:55:38.161489 : Epoch  9, Batch     52, Loss  1.185849, Average Loss  1.193044, Time  0.441628
2021-09-27 17:55:44.064345 : Epoch  9, Batch     53, Loss  1.190625, Average Loss  1.193059, Time  0.440085
2021-09-27 17:55:49.979125 : Epoch  9, Batch     54, Loss  1.198686, Average Loss  1.193150, Time  0.441528
2021-09-27 17:55:55.878781 : Epoch  9, Batch     55, Loss  1.165853, Average Loss  1.193062, Time  0.440763
2021-09-27 17:56:01.781051 : Epoch  9, Batch     56, Loss  1.189829, Average Loss  1.193020, Time  0.441021
2021-09-27 17:56:07.682856 : Epoch  9, Batch     57, Loss  1.184563, Average Loss  1.192951, Time  0.443187
2021-09-27 17:56:13.597705 : Epoch  9, Batch     58, Loss  1.195060, Average Loss  1.193040, Time  0.451890
2021-09-27 17:56:19.514473 : Epoch  9, Batch     59, Loss  1.203820, Average Loss  1.193073, Time  0.440599
2021-09-27 17:56:25.421738 : Epoch  9, Batch     60, Loss  1.216957, Average Loss  1.193216, Time  0.439498
2021-09-27 17:56:31.324196 : Epoch  9, Batch     61, Loss  1.186095, Average Loss  1.193220, Time  0.438772
2021-09-27 17:56:37.215326 : Epoch  9, Batch     62, Loss  1.208435, Average Loss  1.193338, Time  0.438856
2021-09-27 17:56:43.127106 : Epoch  9, Batch     63, Loss  1.205129, Average Loss  1.193473, Time  0.439382
2021-09-27 17:56:49.033861 : Epoch  9, Batch     64, Loss  1.200822, Average Loss  1.193456, Time  0.439596
2021-09-27 17:56:54.981926 : Epoch  9, Batch     65, Loss  1.196135, Average Loss  1.193399, Time  0.440081
2021-09-27 17:57:00.889173 : Epoch  9, Batch     66, Loss  1.203967, Average Loss  1.193442, Time  0.451153
2021-09-27 17:57:06.787670 : Epoch  9, Batch     67, Loss  1.183442, Average Loss  1.193387, Time  0.440363
2021-09-27 17:57:12.673796 : Epoch  9, Batch     68, Loss  1.178870, Average Loss  1.193380, Time  0.439535
2021-09-27 17:57:18.600651 : Epoch  9, Batch     69, Loss  1.187212, Average Loss  1.193376, Time  0.439829
2021-09-27 17:57:24.497754 : Epoch  9, Batch     70, Loss  1.183238, Average Loss  1.193314, Time  0.439409
2021-09-27 17:57:30.395441 : Epoch  9, Batch     71, Loss  1.182780, Average Loss  1.193237, Time  0.438684
2021-09-27 17:57:36.309508 : Epoch  9, Batch     72, Loss  1.195519, Average Loss  1.193314, Time  0.438672
2021-09-27 17:57:42.202673 : Epoch  9, Batch     73, Loss  1.191154, Average Loss  1.193212, Time  0.441042
2021-09-27 17:57:48.129826 : Epoch  9, Batch     74, Loss  1.204305, Average Loss  1.193304, Time  0.456696
2021-09-27 17:57:54.031803 : Epoch  9, Batch     75, Loss  1.192958, Average Loss  1.193268, Time  0.438957
2021-09-27 17:57:59.944781 : Epoch  9, Batch     76, Loss  1.196079, Average Loss  1.193217, Time  0.439389
2021-09-27 18:02:37.006244 : CheckPoint: Validation Loss  0.00020725, Best Loss  0.00020284
2021-09-27 18:02:42.915883 : Epoch  9, Batch     77, Loss  1.192057, Average Loss  1.193261, Time  0.438862
2021-09-27 18:02:48.839683 : Epoch  9, Batch     78, Loss  1.189808, Average Loss  1.193237, Time  0.439988
2021-09-27 18:02:54.761799 : Epoch  9, Batch     79, Loss  1.177755, Average Loss  1.193113, Time  0.439508
2021-09-27 18:03:00.690449 : Epoch  9, Batch     80, Loss  1.184913, Average Loss  1.193073, Time  0.443372
2021-09-27 18:03:06.637091 : Epoch  9, Batch     81, Loss  1.209241, Average Loss  1.193160, Time  0.450802
2021-09-27 18:03:12.555658 : Epoch  9, Batch     82, Loss  1.174095, Average Loss  1.193105, Time  0.440294
2021-09-27 18:03:18.484761 : Epoch  9, Batch     83, Loss  1.196048, Average Loss  1.193113, Time  0.439084
2021-09-27 18:03:24.402254 : Epoch  9, Batch     84, Loss  1.196347, Average Loss  1.193084, Time  0.441912
2021-09-27 18:03:30.332926 : Epoch  9, Batch     85, Loss  1.167776, Average Loss  1.192979, Time  0.442188
2021-09-27 18:03:36.270983 : Epoch  9, Batch     86, Loss  1.174675, Average Loss  1.192891, Time  0.440819
2021-09-27 18:03:42.192089 : Epoch  9, Batch     87, Loss  1.196247, Average Loss  1.192885, Time  0.442839
2021-09-27 18:03:48.123720 : Epoch  9, Batch     88, Loss  1.185485, Average Loss  1.192896, Time  0.442395
2021-09-27 18:03:54.051349 : Epoch  9, Batch     89, Loss  1.202560, Average Loss  1.192936, Time  0.450732
2021-09-27 18:03:59.972842 : Epoch  9, Batch     90, Loss  1.189406, Average Loss  1.192896, Time  0.443175
2021-09-27 18:04:05.895522 : Epoch  9, Batch     91, Loss  1.190799, Average Loss  1.192749, Time  0.439456
2021-09-27 18:04:11.809876 : Epoch  9, Batch     92, Loss  1.198794, Average Loss  1.192796, Time  0.443789
2021-09-27 18:04:17.726289 : Epoch  9, Batch     93, Loss  1.205842, Average Loss  1.192847, Time  0.438608
2021-09-27 18:04:23.652749 : Epoch  9, Batch     94, Loss  1.180142, Average Loss  1.192745, Time  0.441189
2021-09-27 18:04:29.563307 : Epoch  9, Batch     95, Loss  1.208185, Average Loss  1.192805, Time  0.439255
2021-09-27 18:04:35.493422 : Epoch  9, Batch     96, Loss  1.212945, Average Loss  1.192866, Time  0.444166
2021-09-27 18:04:41.431919 : Epoch  9, Batch     97, Loss  1.202221, Average Loss  1.192932, Time  0.456795
2021-09-27 18:04:47.350763 : Epoch  9, Batch     98, Loss  1.198180, Average Loss  1.193025, Time  0.439692
2021-09-27 18:04:53.274717 : Epoch  9, Batch     99, Loss  1.199688, Average Loss  1.193001, Time  0.439971
2021-09-27 18:04:59.195818 : Epoch  9, Batch    100, Loss  1.196146, Average Loss  1.193087, Time  0.440162
2021-09-27 18:05:05.121801 : Epoch  9, Batch    101, Loss  1.195546, Average Loss  1.193094, Time  0.442006
2021-09-27 18:05:11.045712 : Epoch  9, Batch    102, Loss  1.202783, Average Loss  1.193183, Time  0.440022
2021-09-27 18:05:16.963798 : Epoch  9, Batch    103, Loss  1.174827, Average Loss  1.193233, Time  0.438529
2021-09-27 18:05:22.878401 : Epoch  9, Batch    104, Loss  1.185960, Average Loss  1.193282, Time  0.438538
2021-09-27 18:05:28.808908 : Epoch  9, Batch    105, Loss  1.181615, Average Loss  1.193167, Time  0.451660
2021-09-27 18:05:34.721360 : Epoch  9, Batch    106, Loss  1.196950, Average Loss  1.193214, Time  0.440432
2021-09-27 18:05:40.664698 : Epoch  9, Batch    107, Loss  1.202112, Average Loss  1.193281, Time  0.443382
2021-09-27 18:05:46.597888 : Epoch  9, Batch    108, Loss  1.185186, Average Loss  1.193242, Time  0.442545
2021-09-27 18:05:52.518270 : Epoch  9, Batch    109, Loss  1.186190, Average Loss  1.193196, Time  0.439873
2021-09-27 18:05:58.436802 : Epoch  9, Batch    110, Loss  1.186405, Average Loss  1.193224, Time  0.439684
2021-09-27 18:06:04.356723 : Epoch  9, Batch    111, Loss  1.193325, Average Loss  1.193238, Time  0.441862
2021-09-27 18:06:10.283853 : Epoch  9, Batch    112, Loss  1.200733, Average Loss  1.193294, Time  0.441559
2021-09-27 18:06:16.219088 : Epoch  9, Batch    113, Loss  1.173164, Average Loss  1.193209, Time  0.455807
2021-09-27 18:06:22.133991 : Epoch  9, Batch    114, Loss  1.176055, Average Loss  1.193054, Time  0.439801
2021-09-27 18:06:28.047994 : Epoch  9, Batch    115, Loss  1.189033, Average Loss  1.193045, Time  0.439585
2021-09-27 18:06:33.991835 : Epoch  9, Batch    116, Loss  1.200111, Average Loss  1.193134, Time  0.442914
2021-09-27 18:06:39.926249 : Epoch  9, Batch    117, Loss  1.182891, Average Loss  1.193151, Time  0.440143
2021-09-27 18:06:45.863728 : Epoch  9, Batch    118, Loss  1.207723, Average Loss  1.193186, Time  0.439567
2021-09-27 18:06:51.773041 : Epoch  9, Batch    119, Loss  1.192567, Average Loss  1.193183, Time  0.441045
2021-09-27 18:06:57.707576 : Epoch  9, Batch    120, Loss  1.187561, Average Loss  1.193208, Time  0.439607
2021-09-27 18:07:03.652181 : Epoch  9, Batch    121, Loss  1.206304, Average Loss  1.193307, Time  0.455931
2021-09-27 18:07:09.554855 : Epoch  9, Batch    122, Loss  1.188350, Average Loss  1.193243, Time  0.439329
2021-09-27 18:07:15.461935 : Epoch  9, Batch    123, Loss  1.191987, Average Loss  1.193288, Time  0.439904
2021-09-27 18:07:21.384711 : Epoch  9, Batch    124, Loss  1.191100, Average Loss  1.193182, Time  0.439068
2021-09-27 18:07:27.291275 : Epoch  9, Batch    125, Loss  1.180045, Average Loss  1.193142, Time  0.439679
2021-09-27 18:07:33.216365 : Epoch  9, Batch    126, Loss  1.192866, Average Loss  1.193159, Time  0.440307
2021-09-27 18:07:39.131224 : Epoch  9, Batch    127, Loss  1.175108, Average Loss  1.193038, Time  0.443227
2021-09-27 18:07:45.055808 : Epoch  9, Batch    128, Loss  1.202715, Average Loss  1.193179, Time  0.441745
2021-09-27 18:07:50.983812 : Epoch  9, Batch    129, Loss  1.186950, Average Loss  1.193068, Time  0.455040
2021-09-27 18:07:56.908334 : Epoch  9, Batch    130, Loss  1.187627, Average Loss  1.192893, Time  0.442110
2021-09-27 18:08:02.858927 : Epoch  9, Batch    131, Loss  1.196683, Average Loss  1.192817, Time  0.442597
2021-09-27 18:08:08.764382 : Epoch  9, Batch    132, Loss  1.190694, Average Loss  1.192835, Time  0.439589
2021-09-27 18:08:14.676128 : Epoch  9, Batch    133, Loss  1.204883, Average Loss  1.192840, Time  0.439153
2021-09-27 18:08:20.599236 : Epoch  9, Batch    134, Loss  1.195430, Average Loss  1.192759, Time  0.444529
2021-09-27 18:08:26.522798 : Epoch  9, Batch    135, Loss  1.193765, Average Loss  1.192838, Time  0.440510
2021-09-27 18:08:32.430180 : Epoch  9, Batch    136, Loss  1.187396, Average Loss  1.192759, Time  0.441840
2021-09-27 18:08:38.352039 : Epoch  9, Batch    137, Loss  1.193853, Average Loss  1.192807, Time  0.449605
2021-09-27 18:08:44.283735 : Epoch  9, Batch    138, Loss  1.199408, Average Loss  1.192858, Time  0.439026
2021-09-27 18:08:50.207045 : Epoch  9, Batch    139, Loss  1.175203, Average Loss  1.192801, Time  0.441055
2021-09-27 18:08:56.124986 : Epoch  9, Batch    140, Loss  1.184894, Average Loss  1.192658, Time  0.440115
2021-09-27 18:09:02.065428 : Epoch  9, Batch    141, Loss  1.193703, Average Loss  1.192738, Time  0.439792
2021-09-27 18:09:07.976940 : Epoch  9, Batch    142, Loss  1.181196, Average Loss  1.192708, Time  0.439971
2021-09-27 18:09:13.900610 : Epoch  9, Batch    143, Loss  1.181328, Average Loss  1.192558, Time  0.439862
2021-09-27 18:09:19.822004 : Epoch  9, Batch    144, Loss  1.197125, Average Loss  1.192641, Time  0.439721
2021-09-27 18:09:25.747845 : Epoch  9, Batch    145, Loss  1.207437, Average Loss  1.192783, Time  0.453198
2021-09-27 18:09:31.680645 : Epoch  9, Batch    146, Loss  1.183836, Average Loss  1.192753, Time  0.439162
2021-09-27 18:09:37.604546 : Epoch  9, Batch    147, Loss  1.192316, Average Loss  1.192736, Time  0.439297
2021-09-27 18:09:43.523055 : Epoch  9, Batch    148, Loss  1.185733, Average Loss  1.192696, Time  0.441163
2021-09-27 18:09:49.442639 : Epoch  9, Batch    149, Loss  1.208878, Average Loss  1.192787, Time  0.439994
2021-09-27 18:09:55.344229 : Epoch  9, Batch    150, Loss  1.178612, Average Loss  1.192701, Time  0.439157
2021-09-27 18:10:01.260110 : Epoch  9, Batch    151, Loss  1.186353, Average Loss  1.192691, Time  0.441164
2021-09-27 18:10:07.185783 : Epoch  9, Batch    152, Loss  1.199263, Average Loss  1.192672, Time  0.438985
2021-09-27 18:10:13.122032 : Epoch  9, Batch    153, Loss  1.210032, Average Loss  1.192824, Time  0.448566
2021-09-27 18:10:19.053082 : Epoch  9, Batch    154, Loss  1.205131, Average Loss  1.192825, Time  0.439156
2021-09-27 18:10:24.974943 : Epoch  9, Batch    155, Loss  1.195826, Average Loss  1.192889, Time  0.443147
2021-09-27 18:10:30.892736 : Epoch  9, Batch    156, Loss  1.186729, Average Loss  1.192836, Time  0.439053
2021-09-27 18:10:36.805022 : Epoch  9, Batch    157, Loss  1.182536, Average Loss  1.192740, Time  0.441087
2021-09-27 18:10:42.720161 : Epoch  9, Batch    158, Loss  1.182082, Average Loss  1.192645, Time  0.438606
2021-09-27 18:10:48.646840 : Epoch  9, Batch    159, Loss  1.188767, Average Loss  1.192560, Time  0.439585
2021-09-27 18:10:54.560264 : Epoch  9, Batch    160, Loss  1.195300, Average Loss  1.192570, Time  0.441422
2021-09-27 18:11:00.493504 : Epoch  9, Batch    161, Loss  1.196679, Average Loss  1.192574, Time  0.454950
2021-09-27 18:11:06.414871 : Epoch  9, Batch    162, Loss  1.209376, Average Loss  1.192717, Time  0.439112
2021-09-27 18:11:12.326625 : Epoch  9, Batch    163, Loss  1.192398, Average Loss  1.192678, Time  0.440744
2021-09-27 18:11:18.251771 : Epoch  9, Batch    164, Loss  1.191734, Average Loss  1.192682, Time  0.439179
2021-09-27 18:11:24.170413 : Epoch  9, Batch    165, Loss  1.194203, Average Loss  1.192720, Time  0.440005
2021-09-27 18:11:30.100759 : Epoch  9, Batch    166, Loss  1.185458, Average Loss  1.192699, Time  0.440434
2021-09-27 18:11:36.001730 : Epoch  9, Batch    167, Loss  1.192447, Average Loss  1.192678, Time  0.438581
2021-09-27 18:11:41.943788 : Epoch  9, Batch    168, Loss  1.179257, Average Loss  1.192605, Time  0.442701
2021-09-27 18:11:47.881341 : Epoch  9, Batch    169, Loss  1.174381, Average Loss  1.192469, Time  0.452200
2021-09-27 18:11:53.813769 : Epoch  9, Batch    170, Loss  1.195825, Average Loss  1.192454, Time  0.441734
2021-09-27 18:11:59.739663 : Epoch  9, Batch    171, Loss  1.198599, Average Loss  1.192467, Time  0.440959
2021-09-27 18:12:05.648365 : Epoch  9, Batch    172, Loss  1.195919, Average Loss  1.192560, Time  0.438793
2021-09-27 18:12:11.577337 : Epoch  9, Batch    173, Loss  1.184430, Average Loss  1.192567, Time  0.440668
2021-09-27 18:12:17.485856 : Epoch  9, Batch    174, Loss  1.192008, Average Loss  1.192548, Time  0.439255
2021-09-27 18:12:21.876349 : Epoch  9, Batch    175, Loss  1.198425, Average Loss  1.192620, Time  0.343292
2021-09-27 18:12:27.791440 : Epoch  9, Batch    176, Loss  1.174750, Average Loss  1.192515, Time  0.438528
2021-09-27 18:17:04.786068 : CheckPoint: Validation Loss  0.00020701, Best Loss  0.00020284
2021-09-27 18:17:10.710340 : Epoch  9, Batch    177, Loss  1.197963, Average Loss  1.192544, Time  0.450639
2021-09-27 18:17:16.645873 : Epoch  9, Batch    178, Loss  1.202415, Average Loss  1.192620, Time  0.439721
2021-09-27 18:17:22.566939 : Epoch  9, Batch    179, Loss  1.190081, Average Loss  1.192541, Time  0.442050
2021-09-27 18:17:28.473257 : Epoch  9, Batch    180, Loss  1.207060, Average Loss  1.192548, Time  0.440430
2021-09-27 18:17:34.396768 : Epoch  9, Batch    181, Loss  1.186837, Average Loss  1.192483, Time  0.442992
2021-09-27 18:17:40.304405 : Epoch  9, Batch    182, Loss  1.194571, Average Loss  1.192454, Time  0.439430
2021-09-27 18:17:46.226649 : Epoch  9, Batch    183, Loss  1.192568, Average Loss  1.192452, Time  0.439376
2021-09-27 18:17:52.139051 : Epoch  9, Batch    184, Loss  1.202313, Average Loss  1.192508, Time  0.438807
2021-09-27 18:17:58.088799 : Epoch  9, Batch    185, Loss  1.193918, Average Loss  1.192535, Time  0.457618
2021-09-27 18:18:04.009631 : Epoch  9, Batch    186, Loss  1.186917, Average Loss  1.192499, Time  0.440633
2021-09-27 18:18:09.939348 : Epoch  9, Batch    187, Loss  1.201487, Average Loss  1.192469, Time  0.440702
2021-09-27 18:18:15.858084 : Epoch  9, Batch    188, Loss  1.200258, Average Loss  1.192477, Time  0.442683
2021-09-27 18:18:21.793187 : Epoch  9, Batch    189, Loss  1.195654, Average Loss  1.192529, Time  0.440721
2021-09-27 18:18:27.712775 : Epoch  9, Batch    190, Loss  1.206965, Average Loss  1.192638, Time  0.440506
2021-09-27 18:18:33.657943 : Epoch  9, Batch    191, Loss  1.196719, Average Loss  1.192630, Time  0.445434
2021-09-27 18:18:39.573809 : Epoch  9, Batch    192, Loss  1.212115, Average Loss  1.192756, Time  0.439342
2021-09-27 18:18:45.503624 : Epoch  9, Batch    193, Loss  1.187496, Average Loss  1.192739, Time  0.448605
2021-09-27 18:18:51.433789 : Epoch  9, Batch    194, Loss  1.195247, Average Loss  1.192654, Time  0.441609
2021-09-27 18:18:57.365276 : Epoch  9, Batch    195, Loss  1.205174, Average Loss  1.192645, Time  0.443524
2021-09-27 18:19:03.301626 : Epoch  9, Batch    196, Loss  1.192708, Average Loss  1.192692, Time  0.440912
2021-09-27 18:19:09.257783 : Epoch  9, Batch    197, Loss  1.184772, Average Loss  1.192650, Time  0.440044
2021-09-27 18:19:15.183352 : Epoch  9, Batch    198, Loss  1.202716, Average Loss  1.192751, Time  0.441737
2021-09-27 18:19:21.107724 : Epoch  9, Batch    199, Loss  1.204877, Average Loss  1.192925, Time  0.439442
2021-09-27 18:19:27.035886 : Epoch  9, Batch    200, Loss  1.202959, Average Loss  1.192843, Time  0.439757
2021-09-27 18:19:32.969827 : Epoch  9, Batch    201, Loss  1.205890, Average Loss  1.192846, Time  0.446190
2021-09-27 18:19:38.898903 : Epoch  9, Batch    202, Loss  1.193399, Average Loss  1.192807, Time  0.443757
2021-09-27 18:19:44.808990 : Epoch  9, Batch    203, Loss  1.195053, Average Loss  1.192815, Time  0.439170
2021-09-27 18:19:50.725813 : Epoch  9, Batch    204, Loss  1.179126, Average Loss  1.192763, Time  0.440242
2021-09-27 18:19:56.635876 : Epoch  9, Batch    205, Loss  1.186829, Average Loss  1.192625, Time  0.438774
2021-09-27 18:20:02.550808 : Epoch  9, Batch    206, Loss  1.209976, Average Loss  1.192733, Time  0.439586
2021-09-27 18:20:08.460160 : Epoch  9, Batch    207, Loss  1.216651, Average Loss  1.192827, Time  0.439258
2021-09-27 18:20:14.391908 : Epoch  9, Batch    208, Loss  1.203456, Average Loss  1.192892, Time  0.445852
2021-09-27 18:20:20.323409 : Epoch  9, Batch    209, Loss  1.192034, Average Loss  1.192869, Time  0.457586
2021-09-27 18:20:26.243207 : Epoch  9, Batch    210, Loss  1.185266, Average Loss  1.192778, Time  0.438905
2021-09-27 18:20:32.163129 : Epoch  9, Batch    211, Loss  1.193784, Average Loss  1.192803, Time  0.438791
2021-09-27 18:20:38.087712 : Epoch  9, Batch    212, Loss  1.177449, Average Loss  1.192798, Time  0.439694
2021-09-27 18:20:44.024741 : Epoch  9, Batch    213, Loss  1.172486, Average Loss  1.192686, Time  0.442547
2021-09-27 18:20:49.945824 : Epoch  9, Batch    214, Loss  1.197483, Average Loss  1.192728, Time  0.439524
2021-09-27 18:20:55.865828 : Epoch  9, Batch    215, Loss  1.199456, Average Loss  1.192802, Time  0.442704
2021-09-27 18:21:01.801261 : Epoch  9, Batch    216, Loss  1.191656, Average Loss  1.192772, Time  0.452427
2021-09-27 18:21:07.724563 : Epoch  9, Batch    217, Loss  1.195878, Average Loss  1.192830, Time  0.443754
2021-09-27 18:21:13.650840 : Epoch  9, Batch    218, Loss  1.193173, Average Loss  1.192874, Time  0.438887
2021-09-27 18:21:19.571316 : Epoch  9, Batch    219, Loss  1.177148, Average Loss  1.192838, Time  0.440222
2021-09-27 18:21:25.499776 : Epoch  9, Batch    220, Loss  1.203120, Average Loss  1.192955, Time  0.439924
2021-09-27 18:21:31.408255 : Epoch  9, Batch    221, Loss  1.201413, Average Loss  1.193030, Time  0.440019
2021-09-27 18:21:37.320364 : Epoch  9, Batch    222, Loss  1.202725, Average Loss  1.193045, Time  0.438925
2021-09-27 18:21:43.237874 : Epoch  9, Batch    223, Loss  1.181091, Average Loss  1.192879, Time  0.439818
2021-09-27 18:21:49.167356 : Epoch  9, Batch    224, Loss  1.213058, Average Loss  1.192905, Time  0.448313
2021-09-27 18:21:55.105781 : Epoch  9, Batch    225, Loss  1.181163, Average Loss  1.192834, Time  0.439847
2021-09-27 18:22:01.030970 : Epoch  9, Batch    226, Loss  1.197948, Average Loss  1.192866, Time  0.439857
2021-09-27 18:22:06.947525 : Epoch  9, Batch    227, Loss  1.200121, Average Loss  1.192984, Time  0.440905
2021-09-27 18:22:12.873453 : Epoch  9, Batch    228, Loss  1.205549, Average Loss  1.192999, Time  0.439784
2021-09-27 18:22:18.795774 : Epoch  9, Batch    229, Loss  1.210819, Average Loss  1.193138, Time  0.441329
2021-09-27 18:22:24.725221 : Epoch  9, Batch    230, Loss  1.185941, Average Loss  1.193178, Time  0.440344
2021-09-27 18:22:30.672815 : Epoch  9, Batch    231, Loss  1.186517, Average Loss  1.193278, Time  0.441552
2021-09-27 18:22:36.604540 : Epoch  9, Batch    232, Loss  1.181665, Average Loss  1.193230, Time  0.449102
2021-09-27 18:22:42.532427 : Epoch  9, Batch    233, Loss  1.198868, Average Loss  1.193351, Time  0.440223
2021-09-27 18:22:48.462829 : Epoch  9, Batch    234, Loss  1.192046, Average Loss  1.193329, Time  0.438768
2021-09-27 18:22:54.389551 : Epoch  9, Batch    235, Loss  1.174731, Average Loss  1.193144, Time  0.440794
2021-09-27 18:23:00.333755 : Epoch  9, Batch    236, Loss  1.196578, Average Loss  1.193202, Time  0.439677
2021-09-27 18:23:06.256965 : Epoch  9, Batch    237, Loss  1.192937, Average Loss  1.193186, Time  0.440224
2021-09-27 18:23:12.181533 : Epoch  9, Batch    238, Loss  1.189971, Average Loss  1.193127, Time  0.439536
2021-09-27 18:23:18.090759 : Epoch  9, Batch    239, Loss  1.173994, Average Loss  1.193041, Time  0.438663
2021-09-27 18:23:24.037191 : Epoch  9, Batch    240, Loss  1.194800, Average Loss  1.193118, Time  0.452097
2021-09-27 18:23:29.954777 : Epoch  9, Batch    241, Loss  1.200312, Average Loss  1.193170, Time  0.438908
2021-09-27 18:23:35.876930 : Epoch  9, Batch    242, Loss  1.177547, Average Loss  1.193000, Time  0.439771
2021-09-27 18:23:41.806360 : Epoch  9, Batch    243, Loss  1.192950, Average Loss  1.192989, Time  0.440295
2021-09-27 18:23:47.724829 : Epoch  9, Batch    244, Loss  1.192358, Average Loss  1.192965, Time  0.440391
2021-09-27 18:23:53.649846 : Epoch  9, Batch    245, Loss  1.207889, Average Loss  1.193026, Time  0.439330
2021-09-27 18:23:59.566057 : Epoch  9, Batch    246, Loss  1.185347, Average Loss  1.192998, Time  0.440021
2021-09-27 18:24:05.489167 : Epoch  9, Batch    247, Loss  1.186241, Average Loss  1.192944, Time  0.439043
2021-09-27 18:24:11.403829 : Epoch  9, Batch    248, Loss  1.190866, Average Loss  1.192910, Time  0.445135
2021-09-27 18:24:17.332904 : Epoch  9, Batch    249, Loss  1.213718, Average Loss  1.193070, Time  0.442137
2021-09-27 18:24:23.253158 : Epoch  9, Batch    250, Loss  1.193942, Average Loss  1.192989, Time  0.439631
2021-09-27 18:24:29.166325 : Epoch  9, Batch    251, Loss  1.199067, Average Loss  1.192980, Time  0.439858
2021-09-27 18:24:35.076471 : Epoch  9, Batch    252, Loss  1.199948, Average Loss  1.193051, Time  0.442594
2021-09-27 18:24:40.992869 : Epoch  9, Batch    253, Loss  1.186131, Average Loss  1.193028, Time  0.439608
2021-09-27 18:24:46.913878 : Epoch  9, Batch    254, Loss  1.180990, Average Loss  1.192940, Time  0.442429
2021-09-27 18:24:52.846989 : Epoch  9, Batch    255, Loss  1.208999, Average Loss  1.193156, Time  0.440535
2021-09-27 18:24:58.782826 : Epoch  9, Batch    256, Loss  1.207311, Average Loss  1.193243, Time  0.455206
2021-09-27 18:25:04.702992 : Epoch  9, Batch    257, Loss  1.193601, Average Loss  1.193288, Time  0.440303
2021-09-27 18:25:10.608810 : Epoch  9, Batch    258, Loss  1.209357, Average Loss  1.193360, Time  0.440915
2021-09-27 18:25:16.521932 : Epoch  9, Batch    259, Loss  1.181722, Average Loss  1.193249, Time  0.439580
2021-09-27 18:25:22.436572 : Epoch  9, Batch    260, Loss  1.197196, Average Loss  1.193150, Time  0.440191
2021-09-27 18:25:28.341357 : Epoch  9, Batch    261, Loss  1.191476, Average Loss  1.193177, Time  0.440731
2021-09-27 18:25:34.246875 : Epoch  9, Batch    262, Loss  1.192958, Average Loss  1.193100, Time  0.439399
2021-09-27 18:25:40.158265 : Epoch  9, Batch    263, Loss  1.181852, Average Loss  1.192984, Time  0.439184
2021-09-27 18:25:46.092449 : Epoch  9, Batch    264, Loss  1.197545, Average Loss  1.192967, Time  0.454432
2021-09-27 18:25:51.997837 : Epoch  9, Batch    265, Loss  1.194188, Average Loss  1.192958, Time  0.439318
2021-09-27 18:25:57.908098 : Epoch  9, Batch    266, Loss  1.198960, Average Loss  1.192932, Time  0.440424
2021-09-27 18:26:03.813452 : Epoch  9, Batch    267, Loss  1.193042, Average Loss  1.192980, Time  0.439144
2021-09-27 18:26:09.732308 : Epoch  9, Batch    268, Loss  1.181597, Average Loss  1.192994, Time  0.441491
2021-09-27 18:26:15.637848 : Epoch  9, Batch    269, Loss  1.177545, Average Loss  1.192946, Time  0.440531
2021-09-27 18:26:21.546736 : Epoch  9, Batch    270, Loss  1.190262, Average Loss  1.192981, Time  0.442170
2021-09-27 18:26:27.452039 : Epoch  9, Batch    271, Loss  1.184307, Average Loss  1.192989, Time  0.439373
2021-09-27 18:26:33.369311 : Epoch  9, Batch    272, Loss  1.186826, Average Loss  1.192945, Time  0.453749
2021-09-27 18:26:39.280862 : Epoch  9, Batch    273, Loss  1.197044, Average Loss  1.192975, Time  0.442837
2021-09-27 18:26:45.201554 : Epoch  9, Batch    274, Loss  1.196484, Average Loss  1.192935, Time  0.439318
2021-09-27 18:26:51.115474 : Epoch  9, Batch    275, Loss  1.193111, Average Loss  1.192936, Time  0.439211
2021-09-27 18:26:57.023771 : Epoch  9, Batch    276, Loss  1.199357, Average Loss  1.192953, Time  0.438946
2021-09-27 18:31:33.931837 : CheckPoint: Validation Loss  0.00020437, Best Loss  0.00020284
2021-09-27 18:31:39.831676 : Epoch  9, Batch    277, Loss  1.192768, Average Loss  1.192956, Time  0.439190
2021-09-27 18:31:45.722014 : Epoch  9, Batch    278, Loss  1.196452, Average Loss  1.192989, Time  0.439035
2021-09-27 18:31:51.614808 : Epoch  9, Batch    279, Loss  1.201518, Average Loss  1.193108, Time  0.440964
2021-09-27 18:31:57.534547 : Epoch  9, Batch    280, Loss  1.182620, Average Loss  1.193097, Time  0.457854
2021-09-27 18:32:03.452256 : Epoch  9, Batch    281, Loss  1.196756, Average Loss  1.193034, Time  0.440751
2021-09-27 18:32:09.343971 : Epoch  9, Batch    282, Loss  1.198217, Average Loss  1.193155, Time  0.439440
2021-09-27 18:32:15.269241 : Epoch  9, Batch    283, Loss  1.201326, Average Loss  1.193181, Time  0.446574
2021-09-27 18:32:21.179132 : Epoch  9, Batch    284, Loss  1.195134, Average Loss  1.193175, Time  0.445870
2021-09-27 18:32:27.088756 : Epoch  9, Batch    285, Loss  1.189487, Average Loss  1.193284, Time  0.439298
2021-09-27 18:32:32.992975 : Epoch  9, Batch    286, Loss  1.199568, Average Loss  1.193408, Time  0.445111
2021-09-27 18:32:38.897615 : Epoch  9, Batch    287, Loss  1.204246, Average Loss  1.193448, Time  0.439592
2021-09-27 18:32:44.812375 : Epoch  9, Batch    288, Loss  1.183066, Average Loss  1.193436, Time  0.456908
2021-09-27 18:32:50.719319 : Epoch  9, Batch    289, Loss  1.197571, Average Loss  1.193411, Time  0.439240
2021-09-27 18:32:56.618776 : Epoch  9, Batch    290, Loss  1.184665, Average Loss  1.193387, Time  0.440049
2021-09-27 18:33:02.525904 : Epoch  9, Batch    291, Loss  1.198192, Average Loss  1.193424, Time  0.439737
2021-09-27 18:33:08.424315 : Epoch  9, Batch    292, Loss  1.197564, Average Loss  1.193418, Time  0.441380
2021-09-27 18:33:14.331170 : Epoch  9, Batch    293, Loss  1.184150, Average Loss  1.193310, Time  0.442654
2021-09-27 18:33:20.224944 : Epoch  9, Batch    294, Loss  1.193812, Average Loss  1.193378, Time  0.439111
2021-09-27 18:33:26.122176 : Epoch  9, Batch    295, Loss  1.189142, Average Loss  1.193283, Time  0.441216
2021-09-27 18:33:32.046164 : Epoch  9, Batch    296, Loss  1.211962, Average Loss  1.193278, Time  0.449587
2021-09-27 18:33:37.949385 : Epoch  9, Batch    297, Loss  1.195596, Average Loss  1.193245, Time  0.438619
2021-09-27 18:33:43.847956 : Epoch  9, Batch    298, Loss  1.197235, Average Loss  1.193240, Time  0.440208
2021-09-27 18:33:49.746485 : Epoch  9, Batch    299, Loss  1.183244, Average Loss  1.193158, Time  0.438825
2021-09-27 18:33:55.635390 : Epoch  9, Batch    300, Loss  1.191768, Average Loss  1.193136, Time  0.439926
2021-09-27 18:34:01.533237 : Epoch  9, Batch    301, Loss  1.185056, Average Loss  1.193084, Time  0.439302
2021-09-27 18:34:07.421597 : Epoch  9, Batch    302, Loss  1.184938, Average Loss  1.192994, Time  0.440648
2021-09-27 18:34:13.318646 : Epoch  9, Batch    303, Loss  1.182927, Average Loss  1.193035, Time  0.440407
2021-09-27 18:34:19.249775 : Epoch  9, Batch    304, Loss  1.198180, Average Loss  1.193096, Time  0.459331
2021-09-27 18:34:25.145751 : Epoch  9, Batch    305, Loss  1.193035, Average Loss  1.193153, Time  0.440122
2021-09-27 18:34:31.041882 : Epoch  9, Batch    306, Loss  1.211132, Average Loss  1.193224, Time  0.440766
2021-09-27 18:34:36.953555 : Epoch  9, Batch    307, Loss  1.188599, Average Loss  1.193156, Time  0.440832
2021-09-27 18:34:42.854005 : Epoch  9, Batch    308, Loss  1.195075, Average Loss  1.193206, Time  0.438775
2021-09-27 18:34:48.758091 : Epoch  9, Batch    309, Loss  1.198852, Average Loss  1.193269, Time  0.439939
2021-09-27 18:34:54.676425 : Epoch  9, Batch    310, Loss  1.190297, Average Loss  1.193289, Time  0.441116
2021-09-27 18:35:00.579138 : Epoch  9, Batch    311, Loss  1.199489, Average Loss  1.193319, Time  0.439140
2021-09-27 18:35:06.479793 : Epoch  9, Batch    312, Loss  1.207771, Average Loss  1.193355, Time  0.448966
2021-09-27 18:35:12.383946 : Epoch  9, Batch    313, Loss  1.191138, Average Loss  1.193445, Time  0.439808
2021-09-27 18:35:18.275248 : Epoch  9, Batch    314, Loss  1.179830, Average Loss  1.193463, Time  0.441160
2021-09-27 18:35:24.167701 : Epoch  9, Batch    315, Loss  1.185823, Average Loss  1.193447, Time  0.438949
2021-09-27 18:35:30.065108 : Epoch  9, Batch    316, Loss  1.191571, Average Loss  1.193405, Time  0.440896
2021-09-27 18:35:35.982744 : Epoch  9, Batch    317, Loss  1.198835, Average Loss  1.193484, Time  0.438984
2021-09-27 18:35:41.889799 : Epoch  9, Batch    318, Loss  1.191020, Average Loss  1.193401, Time  0.439604
2021-09-27 18:35:47.780378 : Epoch  9, Batch    319, Loss  1.190385, Average Loss  1.193390, Time  0.439491
2021-09-27 18:35:53.701481 : Epoch  9, Batch    320, Loss  1.197510, Average Loss  1.193440, Time  0.455771
2021-09-27 18:35:59.608677 : Epoch  9, Batch    321, Loss  1.200908, Average Loss  1.193413, Time  0.441209
2021-09-27 18:36:05.501435 : Epoch  9, Batch    322, Loss  1.201646, Average Loss  1.193479, Time  0.440286
2021-09-27 18:36:11.405395 : Epoch  9, Batch    323, Loss  1.217377, Average Loss  1.193606, Time  0.441913
2021-09-27 18:36:17.304569 : Epoch  9, Batch    324, Loss  1.175143, Average Loss  1.193526, Time  0.442320
2021-09-27 18:36:23.197032 : Epoch  9, Batch    325, Loss  1.195430, Average Loss  1.193603, Time  0.438770
2021-09-27 18:36:29.087844 : Epoch  9, Batch    326, Loss  1.194296, Average Loss  1.193610, Time  0.440196
2021-09-27 18:36:34.986201 : Epoch  9, Batch    327, Loss  1.198154, Average Loss  1.193726, Time  0.438747
2021-09-27 18:36:40.893440 : Epoch  9, Batch    328, Loss  1.193387, Average Loss  1.193679, Time  0.449616
2021-09-27 18:36:46.780365 : Epoch  9, Batch    329, Loss  1.171758, Average Loss  1.193603, Time  0.444603
2021-09-27 18:36:52.667802 : Epoch  9, Batch    330, Loss  1.178808, Average Loss  1.193559, Time  0.442759
2021-09-27 18:36:58.556965 : Epoch  9, Batch    331, Loss  1.191651, Average Loss  1.193534, Time  0.438861
2021-09-27 18:37:04.452413 : Epoch  9, Batch    332, Loss  1.211912, Average Loss  1.193640, Time  0.441402
2021-09-27 18:37:10.352648 : Epoch  9, Batch    333, Loss  1.195027, Average Loss  1.193591, Time  0.439366
2021-09-27 18:37:16.241231 : Epoch  9, Batch    334, Loss  1.199727, Average Loss  1.193612, Time  0.441763
2021-09-27 18:37:22.134412 : Epoch  9, Batch    335, Loss  1.189097, Average Loss  1.193589, Time  0.438828
2021-09-27 18:37:28.044287 : Epoch  9, Batch    336, Loss  1.203368, Average Loss  1.193669, Time  0.450652
2021-09-27 18:37:33.935765 : Epoch  9, Batch    337, Loss  1.202715, Average Loss  1.193713, Time  0.438603
2021-09-27 18:37:39.829927 : Epoch  9, Batch    338, Loss  1.189672, Average Loss  1.193664, Time  0.439040
2021-09-27 18:37:45.725741 : Epoch  9, Batch    339, Loss  1.186887, Average Loss  1.193723, Time  0.440664
2021-09-27 18:37:51.634721 : Epoch  9, Batch    340, Loss  1.205871, Average Loss  1.193828, Time  0.439409
2021-09-27 18:37:57.538668 : Epoch  9, Batch    341, Loss  1.196747, Average Loss  1.193843, Time  0.440689
2021-09-27 18:38:03.436837 : Epoch  9, Batch    342, Loss  1.184570, Average Loss  1.193860, Time  0.440491
2021-09-27 18:38:09.333673 : Epoch  9, Batch    343, Loss  1.177665, Average Loss  1.193841, Time  0.440101
2021-09-27 18:38:15.253772 : Epoch  9, Batch    344, Loss  1.163514, Average Loss  1.193673, Time  0.454516
2021-09-27 18:38:21.149514 : Epoch  9, Batch    345, Loss  1.193375, Average Loss  1.193603, Time  0.439805
2021-09-27 18:38:27.048834 : Epoch  9, Batch    346, Loss  1.201254, Average Loss  1.193690, Time  0.439892
2021-09-27 18:38:32.956241 : Epoch  9, Batch    347, Loss  1.189686, Average Loss  1.193677, Time  0.438832
2021-09-27 18:38:38.880775 : Epoch  9, Batch    348, Loss  1.194343, Average Loss  1.193720, Time  0.440973
2021-09-27 18:38:44.791514 : Epoch  9, Batch    349, Loss  1.177775, Average Loss  1.193564, Time  0.438942
2021-09-27 18:38:50.681949 : Epoch  9, Batch    350, Loss  1.208620, Average Loss  1.193714, Time  0.441711
2021-09-27 18:38:56.594795 : Epoch  9, Batch    351, Loss  1.207466, Average Loss  1.193820, Time  0.440403
2021-09-27 18:39:02.531078 : Epoch  9, Batch    352, Loss  1.205092, Average Loss  1.193849, Time  0.455806
2021-09-27 18:39:08.440886 : Epoch  9, Batch    353, Loss  1.199683, Average Loss  1.193797, Time  0.440574
2021-09-27 18:39:14.329766 : Epoch  9, Batch    354, Loss  1.194199, Average Loss  1.193743, Time  0.441073
2021-09-27 18:39:20.239538 : Epoch  9, Batch    355, Loss  1.195422, Average Loss  1.193741, Time  0.439475
2021-09-27 18:39:26.136551 : Epoch  9, Batch    356, Loss  1.183977, Average Loss  1.193727, Time  0.439774
2021-09-27 18:39:32.030821 : Epoch  9, Batch    357, Loss  1.169935, Average Loss  1.193664, Time  0.443324
2021-09-27 18:39:37.924952 : Epoch  9, Batch    358, Loss  1.205662, Average Loss  1.193782, Time  0.440059
2021-09-27 18:39:43.819709 : Epoch  9, Batch    359, Loss  1.205938, Average Loss  1.193868, Time  0.440549
2021-09-27 18:39:49.731301 : Epoch  9, Batch    360, Loss  1.204216, Average Loss  1.193912, Time  0.452966
2021-09-27 18:39:55.663092 : Epoch  9, Batch    361, Loss  1.195722, Average Loss  1.193908, Time  0.440377
2021-09-27 18:40:01.559854 : Epoch  9, Batch    362, Loss  1.195872, Average Loss  1.193840, Time  0.439686
2021-09-27 18:40:07.457568 : Epoch  9, Batch    363, Loss  1.188019, Average Loss  1.193818, Time  0.438615
2021-09-27 18:40:13.361358 : Epoch  9, Batch    364, Loss  1.205396, Average Loss  1.193886, Time  0.439332
2021-09-27 18:40:19.267224 : Epoch  9, Batch    365, Loss  1.176617, Average Loss  1.193799, Time  0.441437
2021-09-27 18:40:25.161837 : Epoch  9, Batch    366, Loss  1.193483, Average Loss  1.193839, Time  0.442559
2021-09-27 18:40:31.059319 : Epoch  9, Batch    367, Loss  1.187144, Average Loss  1.193812, Time  0.443543
2021-09-27 18:40:36.972514 : Epoch  9, Batch    368, Loss  1.179492, Average Loss  1.193813, Time  0.452828
2021-09-27 18:40:42.875174 : Epoch  9, Batch    369, Loss  1.188693, Average Loss  1.193885, Time  0.438676
2021-09-27 18:40:48.773908 : Epoch  9, Batch    370, Loss  1.175413, Average Loss  1.193783, Time  0.440655
2021-09-27 18:40:54.671849 : Epoch  9, Batch    371, Loss  1.213062, Average Loss  1.193855, Time  0.442225
2021-09-27 18:41:00.584311 : Epoch  9, Batch    372, Loss  1.186556, Average Loss  1.193808, Time  0.439413
2021-09-27 18:41:06.487041 : Epoch  9, Batch    373, Loss  1.196493, Average Loss  1.193869, Time  0.440249
2021-09-27 18:41:12.389483 : Epoch  9, Batch    374, Loss  1.190799, Average Loss  1.193863, Time  0.440061
2021-09-27 18:41:18.288085 : Epoch  9, Batch    375, Loss  1.190358, Average Loss  1.193822, Time  0.442768
2021-09-27 18:41:24.199821 : Epoch  9, Batch    376, Loss  1.201184, Average Loss  1.193954, Time  0.446209
2021-09-27 18:46:01.297569 : CheckPoint: Validation Loss  0.00021253, Best Loss  0.00020284
2021-09-27 18:46:07.207362 : Epoch  9, Batch    377, Loss  1.180719, Average Loss  1.193868, Time  0.441052
2021-09-27 18:46:13.122831 : Epoch  9, Batch    378, Loss  1.226256, Average Loss  1.193987, Time  0.441790
2021-09-27 18:46:19.022595 : Epoch  9, Batch    379, Loss  1.188813, Average Loss  1.193981, Time  0.440854
2021-09-27 18:46:24.907772 : Epoch  9, Batch    380, Loss  1.193814, Average Loss  1.193915, Time  0.439938
2021-09-27 18:46:30.822920 : Epoch  9, Batch    381, Loss  1.187726, Average Loss  1.193919, Time  0.439312
2021-09-27 18:46:36.738576 : Epoch  9, Batch    382, Loss  1.190795, Average Loss  1.193900, Time  0.443220
2021-09-27 18:46:42.655773 : Epoch  9, Batch    383, Loss  1.191492, Average Loss  1.193895, Time  0.451489
2021-09-27 18:46:48.563920 : Epoch  9, Batch    384, Loss  1.179553, Average Loss  1.193781, Time  0.440532
2021-09-27 18:46:54.462747 : Epoch  9, Batch    385, Loss  1.181048, Average Loss  1.193717, Time  0.439629
2021-09-27 18:47:00.377275 : Epoch  9, Batch    386, Loss  1.193072, Average Loss  1.193748, Time  0.439826
2021-09-27 18:47:06.274788 : Epoch  9, Batch    387, Loss  1.185907, Average Loss  1.193670, Time  0.441884
2021-09-27 18:47:12.182639 : Epoch  9, Batch    388, Loss  1.190663, Average Loss  1.193622, Time  0.438996
2021-09-27 18:47:18.095307 : Epoch  9, Batch    389, Loss  1.193010, Average Loss  1.193609, Time  0.439113
2021-09-27 18:47:24.010937 : Epoch  9, Batch    390, Loss  1.188568, Average Loss  1.193517, Time  0.440323
2021-09-27 18:47:29.943896 : Epoch  9, Batch    391, Loss  1.195637, Average Loss  1.193511, Time  0.455897
2021-09-27 18:47:35.844301 : Epoch  9, Batch    392, Loss  1.196498, Average Loss  1.193433, Time  0.440210
2021-09-27 18:47:41.745734 : Epoch  9, Batch    393, Loss  1.168557, Average Loss  1.193338, Time  0.438624
2021-09-27 18:47:47.660508 : Epoch  9, Batch    394, Loss  1.189526, Average Loss  1.193310, Time  0.439842
2021-09-27 18:47:53.575990 : Epoch  9, Batch    395, Loss  1.178896, Average Loss  1.193178, Time  0.443086
2021-09-27 18:47:59.472842 : Epoch  9, Batch    396, Loss  1.176265, Average Loss  1.193096, Time  0.440158
2021-09-27 18:48:05.384323 : Epoch  9, Batch    397, Loss  1.188463, Average Loss  1.193115, Time  0.444263
2021-09-27 18:48:11.297733 : Epoch  9, Batch    398, Loss  1.188489, Average Loss  1.193043, Time  0.438829
2021-09-27 18:48:17.215160 : Epoch  9, Batch    399, Loss  1.173247, Average Loss  1.192885, Time  0.453703
2021-09-27 18:48:23.124930 : Epoch  9, Batch    400, Loss  1.182011, Average Loss  1.192781, Time  0.440639
2021-09-27 18:48:29.029309 : Epoch  9, Batch    401, Loss  1.167066, Average Loss  1.192586, Time  0.438900
2021-09-27 18:48:34.933534 : Epoch  9, Batch    402, Loss  1.195776, Average Loss  1.192598, Time  0.440024
2021-09-27 18:48:40.830885 : Epoch  9, Batch    403, Loss  1.175643, Average Loss  1.192501, Time  0.438677
2021-09-27 18:48:46.741825 : Epoch  9, Batch    404, Loss  1.195583, Average Loss  1.192584, Time  0.443815
2021-09-27 18:48:52.647802 : Epoch  9, Batch    405, Loss  1.197618, Average Loss  1.192638, Time  0.440625
2021-09-27 18:48:58.551930 : Epoch  9, Batch    406, Loss  1.205169, Average Loss  1.192613, Time  0.441902
2021-09-27 18:49:04.475944 : Epoch  9, Batch    407, Loss  1.199044, Average Loss  1.192525, Time  0.457254
2021-09-27 18:49:10.379720 : Epoch  9, Batch    408, Loss  1.207806, Average Loss  1.192547, Time  0.438811
2021-09-27 18:49:16.298345 : Epoch  9, Batch    409, Loss  1.191158, Average Loss  1.192543, Time  0.441964
2021-09-27 18:49:22.203758 : Epoch  9, Batch    410, Loss  1.200572, Average Loss  1.192619, Time  0.438882
2021-09-27 18:49:28.119284 : Epoch  9, Batch    411, Loss  1.199845, Average Loss  1.192650, Time  0.441387
2021-09-27 18:49:34.025003 : Epoch  9, Batch    412, Loss  1.173602, Average Loss  1.192630, Time  0.439484
2021-09-27 18:49:39.928248 : Epoch  9, Batch    413, Loss  1.181832, Average Loss  1.192677, Time  0.440150
2021-09-27 18:49:45.846664 : Epoch  9, Batch    414, Loss  1.186100, Average Loss  1.192620, Time  0.440114
2021-09-27 18:49:51.771907 : Epoch  9, Batch    415, Loss  1.199840, Average Loss  1.192622, Time  0.457693
2021-09-27 18:49:57.678242 : Epoch  9, Batch    416, Loss  1.197395, Average Loss  1.192651, Time  0.440048
2021-09-27 18:50:03.599569 : Epoch  9, Batch    417, Loss  1.198802, Average Loss  1.192665, Time  0.442186
2021-09-27 18:50:09.518662 : Epoch  9, Batch    418, Loss  1.186631, Average Loss  1.192633, Time  0.442390
2021-09-27 18:50:15.423100 : Epoch  9, Batch    419, Loss  1.182028, Average Loss  1.192657, Time  0.438718
2021-09-27 18:50:21.343733 : Epoch  9, Batch    420, Loss  1.188332, Average Loss  1.192583, Time  0.441302
2021-09-27 18:50:27.263074 : Epoch  9, Batch    421, Loss  1.189987, Average Loss  1.192526, Time  0.441223
2021-09-27 18:50:33.165038 : Epoch  9, Batch    422, Loss  1.208571, Average Loss  1.192555, Time  0.439151
2021-09-27 18:50:39.092185 : Epoch  9, Batch    423, Loss  1.197941, Average Loss  1.192640, Time  0.455403
2021-09-27 18:50:45.004832 : Epoch  9, Batch    424, Loss  1.195304, Average Loss  1.192551, Time  0.441248
2021-09-27 18:50:50.901819 : Epoch  9, Batch    425, Loss  1.179164, Average Loss  1.192541, Time  0.439745
2021-09-27 18:50:56.830595 : Epoch  9, Batch    426, Loss  1.197727, Average Loss  1.192540, Time  0.441995
2021-09-27 18:51:02.751243 : Epoch  9, Batch    427, Loss  1.200534, Average Loss  1.192542, Time  0.444181
2021-09-27 18:51:08.679781 : Epoch  9, Batch    428, Loss  1.191966, Average Loss  1.192474, Time  0.442081
2021-09-27 18:51:14.580247 : Epoch  9, Batch    429, Loss  1.188723, Average Loss  1.192363, Time  0.439208
2021-09-27 18:51:20.482477 : Epoch  9, Batch    430, Loss  1.181021, Average Loss  1.192339, Time  0.438887
2021-09-27 18:51:26.404748 : Epoch  9, Batch    431, Loss  1.194565, Average Loss  1.192379, Time  0.453654
2021-09-27 18:51:32.306560 : Epoch  9, Batch    432, Loss  1.174223, Average Loss  1.192342, Time  0.438963
2021-09-27 18:51:38.206828 : Epoch  9, Batch    433, Loss  1.171862, Average Loss  1.192207, Time  0.439806
2021-09-27 18:51:44.115947 : Epoch  9, Batch    434, Loss  1.187626, Average Loss  1.192185, Time  0.439497
2021-09-27 18:51:50.028889 : Epoch  9, Batch    435, Loss  1.202342, Average Loss  1.192323, Time  0.440394
2021-09-27 18:51:55.938754 : Epoch  9, Batch    436, Loss  1.182667, Average Loss  1.192253, Time  0.440799
2021-09-27 18:52:01.848951 : Epoch  9, Batch    437, Loss  1.180376, Average Loss  1.192190, Time  0.439215
2021-09-27 18:52:07.759987 : Epoch  9, Batch    438, Loss  1.200885, Average Loss  1.192245, Time  0.453006
2021-09-27 18:52:13.654814 : Epoch  9, Batch    439, Loss  1.180391, Average Loss  1.192277, Time  0.442976
2021-09-27 18:52:19.558004 : Epoch  9, Batch    440, Loss  1.210271, Average Loss  1.192354, Time  0.441296
2021-09-27 18:52:25.454438 : Epoch  9, Batch    441, Loss  1.195322, Average Loss  1.192329, Time  0.440748
2021-09-27 18:52:31.370767 : Epoch  9, Batch    442, Loss  1.197751, Average Loss  1.192430, Time  0.439433
2021-09-27 18:52:37.265490 : Epoch  9, Batch    443, Loss  1.203759, Average Loss  1.192484, Time  0.439672
2021-09-27 18:52:43.185916 : Epoch  9, Batch    444, Loss  1.190827, Average Loss  1.192477, Time  0.440044
2021-09-27 18:52:49.092318 : Epoch  9, Batch    445, Loss  1.188524, Average Loss  1.192380, Time  0.440638
2021-09-27 18:52:55.015557 : Epoch  9, Batch    446, Loss  1.187410, Average Loss  1.192390, Time  0.451350
2021-09-27 18:53:00.925016 : Epoch  9, Batch    447, Loss  1.187797, Average Loss  1.192398, Time  0.440406
2021-09-27 18:53:06.837965 : Epoch  9, Batch    448, Loss  1.180443, Average Loss  1.192346, Time  0.440965
2021-09-27 18:53:12.750809 : Epoch  9, Batch    449, Loss  1.191856, Average Loss  1.192237, Time  0.440722
2021-09-27 18:53:18.661360 : Epoch  9, Batch    450, Loss  1.183126, Average Loss  1.192183, Time  0.439919
2021-09-27 18:53:24.572693 : Epoch  9, Batch    451, Loss  1.180714, Average Loss  1.192091, Time  0.439862
2021-09-27 18:53:30.481233 : Epoch  9, Batch    452, Loss  1.210306, Average Loss  1.192143, Time  0.439747
2021-09-27 18:53:36.402932 : Epoch  9, Batch    453, Loss  1.195941, Average Loss  1.192192, Time  0.440889
2021-09-27 18:53:42.311969 : Epoch  9, Batch    454, Loss  1.198932, Average Loss  1.192281, Time  0.450773
2021-09-27 18:53:48.213823 : Epoch  9, Batch    455, Loss  1.180665, Average Loss  1.192140, Time  0.441670
2021-09-27 18:53:54.121133 : Epoch  9, Batch    456, Loss  1.198211, Average Loss  1.192094, Time  0.440753
2021-09-27 18:54:00.032002 : Epoch  9, Batch    457, Loss  1.204676, Average Loss  1.192150, Time  0.440940
2021-09-27 18:54:05.949707 : Epoch  9, Batch    458, Loss  1.188411, Average Loss  1.192045, Time  0.440772
2021-09-27 18:54:11.847825 : Epoch  9, Batch    459, Loss  1.205537, Average Loss  1.192164, Time  0.438632
2021-09-27 18:54:17.763275 : Epoch  9, Batch    460, Loss  1.201116, Average Loss  1.192183, Time  0.442450
2021-09-27 18:54:23.681228 : Epoch  9, Batch    461, Loss  1.174183, Average Loss  1.192097, Time  0.440183
2021-09-27 18:54:29.596132 : Epoch  9, Batch    462, Loss  1.172050, Average Loss  1.191992, Time  0.451284
2021-09-27 18:54:35.503018 : Epoch  9, Batch    463, Loss  1.188363, Average Loss  1.192025, Time  0.441068
2021-09-27 18:54:41.419102 : Epoch  9, Batch    464, Loss  1.190434, Average Loss  1.191989, Time  0.440227
2021-09-27 18:54:47.324911 : Epoch  9, Batch    465, Loss  1.173449, Average Loss  1.191886, Time  0.439178
2021-09-27 18:54:53.241954 : Epoch  9, Batch    466, Loss  1.196516, Average Loss  1.191874, Time  0.440704
2021-09-27 18:54:59.157399 : Epoch  9, Batch    467, Loss  1.200770, Average Loss  1.191912, Time  0.441160
2021-09-27 18:55:05.079623 : Epoch  9, Batch    468, Loss  1.201398, Average Loss  1.192011, Time  0.440735
2021-09-27 18:55:10.978818 : Epoch  9, Batch    469, Loss  1.185858, Average Loss  1.192053, Time  0.442420
2021-09-27 18:55:16.901267 : Epoch  9, Batch    470, Loss  1.208023, Average Loss  1.192142, Time  0.453621
2021-09-27 18:55:22.820853 : Epoch  9, Batch    471, Loss  1.203394, Average Loss  1.192237, Time  0.441804
2021-09-27 18:55:28.742791 : Epoch  9, Batch    472, Loss  1.184610, Average Loss  1.192226, Time  0.444127
2021-09-27 18:55:34.659577 : Epoch  9, Batch    473, Loss  1.188072, Average Loss  1.192181, Time  0.439684
2021-09-27 18:55:40.584846 : Epoch  9, Batch    474, Loss  1.195463, Average Loss  1.192176, Time  0.445547
2021-09-27 18:55:46.366245 : Epoch  9, Batch    475, Loss  1.190016, Average Loss  1.192160, Time  0.438878
2021-09-27 18:55:51.863617 : Epoch  9, Batch    476, Loss  1.191056, Average Loss  1.192119, Time  0.438380
2021-09-27 19:00:03.868707 : CheckPoint: Validation Loss  0.00020557, Best Loss  0.00020284
2021-09-27 19:00:09.182815 : Epoch  9, Batch    477, Loss  1.185584, Average Loss  1.192083, Time  0.435658
2021-09-27 19:00:14.476670 : Epoch  9, Batch    478, Loss  1.176127, Average Loss  1.191981, Time  0.435284
2021-09-27 19:00:20.138953 : Epoch  9, Batch    479, Loss  1.204181, Average Loss  1.191995, Time  0.438637
2021-09-27 19:00:25.782197 : Epoch  9, Batch    480, Loss  1.186577, Average Loss  1.192015, Time  0.438087
2021-09-27 19:00:31.436422 : Epoch  9, Batch    481, Loss  1.210118, Average Loss  1.192081, Time  0.436373
2021-09-27 19:00:36.881908 : Epoch  9, Batch    482, Loss  1.184998, Average Loss  1.192015, Time  0.450879
2021-09-27 19:00:42.309668 : Epoch  9, Batch    483, Loss  1.207153, Average Loss  1.192044, Time  0.435768
2021-09-27 19:00:47.925266 : Epoch  9, Batch    484, Loss  1.190288, Average Loss  1.192020, Time  0.439838
2021-09-27 19:00:53.419533 : Epoch  9, Batch    485, Loss  1.210931, Average Loss  1.192127, Time  0.438078
2021-09-27 19:00:58.944688 : Epoch  9, Batch    486, Loss  1.186377, Average Loss  1.192061, Time  0.438622
2021-09-27 19:01:04.418428 : Epoch  9, Batch    487, Loss  1.191321, Average Loss  1.191997, Time  0.437095
2021-09-27 19:01:09.847455 : Epoch  9, Batch    488, Loss  1.181162, Average Loss  1.191987, Time  0.438177
2021-09-27 19:01:15.425789 : Epoch  9, Batch    489, Loss  1.193029, Average Loss  1.191965, Time  0.436870
2021-09-27 19:01:20.860971 : Epoch  9, Batch    490, Loss  1.180987, Average Loss  1.191946, Time  0.436458
2021-09-27 19:01:26.385639 : Epoch  9, Batch    491, Loss  1.197481, Average Loss  1.191943, Time  0.450111
2021-09-27 19:01:32.030856 : Epoch  9, Batch    492, Loss  1.185306, Average Loss  1.191881, Time  0.439381
2021-09-27 19:01:37.581655 : Epoch  9, Batch    493, Loss  1.189802, Average Loss  1.191910, Time  0.436574
2021-09-27 19:01:43.140557 : Epoch  9, Batch    494, Loss  1.178721, Average Loss  1.191834, Time  0.436036
2021-09-27 19:01:48.839443 : Epoch  9, Batch    495, Loss  1.188195, Average Loss  1.191829, Time  0.439410
2021-09-27 19:01:54.433808 : Epoch  9, Batch    496, Loss  1.195583, Average Loss  1.191747, Time  0.437002
2021-09-27 19:02:00.082368 : Epoch  9, Batch    497, Loss  1.201573, Average Loss  1.191777, Time  0.439491
2021-09-27 19:02:05.740122 : Epoch  9, Batch    498, Loss  1.199268, Average Loss  1.191788, Time  0.438489
2021-09-27 19:02:11.416972 : Epoch  9, Batch    499, Loss  1.202151, Average Loss  1.191882, Time  0.454921
2021-09-27 19:02:17.079564 : Epoch  9, Batch    500, Loss  1.199622, Average Loss  1.191921, Time  0.438899
2021-09-27 19:02:22.758453 : Epoch  9, Batch    501, Loss  1.182182, Average Loss  1.191907, Time  0.438808
2021-09-27 19:02:28.358995 : Epoch  9, Batch    502, Loss  1.185481, Average Loss  1.191910, Time  0.439410
2021-09-27 19:02:34.078378 : Epoch  9, Batch    503, Loss  1.188261, Average Loss  1.191936, Time  0.438990
2021-09-27 19:02:39.772510 : Epoch  9, Batch    504, Loss  1.205007, Average Loss  1.191970, Time  0.439013
2021-09-27 19:02:45.476288 : Epoch  9, Batch    505, Loss  1.205698, Average Loss  1.192034, Time  0.438275
2021-09-27 19:02:51.176800 : Epoch  9, Batch    506, Loss  1.200237, Average Loss  1.191979, Time  0.439633
2021-09-27 19:02:56.806497 : Epoch  9, Batch    507, Loss  1.186619, Average Loss  1.191969, Time  0.450060
2021-09-27 19:03:02.322324 : Epoch  9, Batch    508, Loss  1.193868, Average Loss  1.191963, Time  0.438509
2021-09-27 19:03:08.066871 : Epoch  9, Batch    509, Loss  1.202593, Average Loss  1.191982, Time  0.436795
2021-09-27 19:03:13.470019 : Epoch  9, Batch    510, Loss  1.183794, Average Loss  1.191950, Time  0.439205
2021-09-27 19:03:19.089655 : Epoch  9, Batch    511, Loss  1.194172, Average Loss  1.191923, Time  0.438606
2021-09-27 19:03:24.524021 : Epoch  9, Batch    512, Loss  1.192964, Average Loss  1.191849, Time  0.436952
2021-09-27 19:03:30.089029 : Epoch  9, Batch    513, Loss  1.181011, Average Loss  1.191798, Time  0.438102
2021-09-27 19:03:35.660572 : Epoch  9, Batch    514, Loss  1.202058, Average Loss  1.191909, Time  0.439477
2021-09-27 19:03:41.394892 : Epoch  9, Batch    515, Loss  1.189032, Average Loss  1.191926, Time  0.452111
2021-09-27 19:03:46.872697 : Epoch  9, Batch    516, Loss  1.172012, Average Loss  1.191828, Time  0.436749
2021-09-27 19:03:52.343308 : Epoch  9, Batch    517, Loss  1.191293, Average Loss  1.191790, Time  0.439769
2021-09-27 19:03:57.983375 : Epoch  9, Batch    518, Loss  1.198529, Average Loss  1.191828, Time  0.436894
2021-09-27 19:04:03.444708 : Epoch  9, Batch    519, Loss  1.191555, Average Loss  1.191833, Time  0.435985
2021-09-27 19:04:09.083658 : Epoch  9, Batch    520, Loss  1.179657, Average Loss  1.191744, Time  0.439992
2021-09-27 19:04:14.650516 : Epoch  9, Batch    521, Loss  1.201212, Average Loss  1.191746, Time  0.438344
2021-09-27 19:04:20.252847 : Epoch  9, Batch    522, Loss  1.180495, Average Loss  1.191640, Time  0.436621
2021-09-27 19:04:25.829454 : Epoch  9, Batch    523, Loss  1.170824, Average Loss  1.191407, Time  0.439074
2021-09-27 19:04:31.272966 : Epoch  9, Batch    524, Loss  1.202913, Average Loss  1.191546, Time  0.446804
2021-09-27 19:04:36.798625 : Epoch  9, Batch    525, Loss  1.175308, Average Loss  1.191445, Time  0.438220
2021-09-27 19:04:42.456964 : Epoch  9, Batch    526, Loss  1.172537, Average Loss  1.191337, Time  0.439737
2021-09-27 19:04:48.064876 : Epoch  9, Batch    527, Loss  1.187757, Average Loss  1.191285, Time  0.438547
2021-09-27 19:04:53.802184 : Epoch  9, Batch    528, Loss  1.199932, Average Loss  1.191317, Time  0.439153
2021-09-27 19:04:59.331075 : Epoch  9, Batch    529, Loss  1.191809, Average Loss  1.191418, Time  0.438248
2021-09-27 19:05:04.807733 : Epoch  9, Batch    530, Loss  1.200177, Average Loss  1.191524, Time  0.436347
2021-09-27 19:05:10.362559 : Epoch  9, Batch    531, Loss  1.198142, Average Loss  1.191557, Time  0.436227
2021-09-27 19:05:15.748081 : Epoch  9, Batch    532, Loss  1.210155, Average Loss  1.191548, Time  0.438275
2021-09-27 19:05:21.380824 : Epoch  9, Batch    533, Loss  1.190276, Average Loss  1.191524, Time  0.448500
2021-09-27 19:05:26.856555 : Epoch  9, Batch    534, Loss  1.190662, Average Loss  1.191479, Time  0.438704
2021-09-27 19:05:32.534428 : Epoch  9, Batch    535, Loss  1.195339, Average Loss  1.191510, Time  0.438906
2021-09-27 19:05:38.046662 : Epoch  9, Batch    536, Loss  1.185359, Average Loss  1.191420, Time  0.436607
2021-09-27 19:05:43.427454 : Epoch  9, Batch    537, Loss  1.186924, Average Loss  1.191341, Time  0.438502
2021-09-27 19:05:48.925553 : Epoch  9, Batch    538, Loss  1.179157, Average Loss  1.191289, Time  0.438224
2021-09-27 19:05:54.485960 : Epoch  9, Batch    539, Loss  1.183218, Average Loss  1.191270, Time  0.438604
2021-09-27 19:05:59.964794 : Epoch  9, Batch    540, Loss  1.198637, Average Loss  1.191234, Time  0.436666
2021-09-27 19:06:05.568020 : Epoch  9, Batch    541, Loss  1.203679, Average Loss  1.191269, Time  0.439762
2021-09-27 19:06:11.070477 : Epoch  9, Batch    542, Loss  1.194970, Average Loss  1.191321, Time  0.447214
2021-09-27 19:06:16.545371 : Epoch  9, Batch    543, Loss  1.193823, Average Loss  1.191402, Time  0.437208
2021-09-27 19:06:21.927635 : Epoch  9, Batch    544, Loss  1.180900, Average Loss  1.191488, Time  0.440550
2021-09-27 19:06:27.314690 : Epoch  9, Batch    545, Loss  1.206915, Average Loss  1.191556, Time  0.437200
2021-09-27 19:06:32.812827 : Epoch  9, Batch    546, Loss  1.203760, Average Loss  1.191569, Time  0.438593
2021-09-27 19:06:38.512933 : Epoch  9, Batch    547, Loss  1.196537, Average Loss  1.191603, Time  0.438741
2021-09-27 19:06:43.997459 : Epoch  9, Batch    548, Loss  1.201420, Average Loss  1.191638, Time  0.436504
2021-09-27 19:06:49.608472 : Epoch  9, Batch    549, Loss  1.195658, Average Loss  1.191728, Time  0.439088
2021-09-27 19:06:55.339018 : Epoch  9, Batch    550, Loss  1.186523, Average Loss  1.191617, Time  0.444786
2021-09-27 19:07:00.994607 : Epoch  9, Batch    551, Loss  1.175698, Average Loss  1.191458, Time  0.439944
2021-09-27 19:07:06.629544 : Epoch  9, Batch    552, Loss  1.180761, Average Loss  1.191337, Time  0.437605
2021-09-27 19:07:12.200921 : Epoch  9, Batch    553, Loss  1.197223, Average Loss  1.191325, Time  0.437894
2021-09-27 19:07:17.819006 : Epoch  9, Batch    554, Loss  1.201662, Average Loss  1.191362, Time  0.437874
2021-09-27 19:07:23.424649 : Epoch  9, Batch    555, Loss  1.193821, Average Loss  1.191354, Time  0.439533
2021-09-27 19:07:29.137813 : Epoch  9, Batch    556, Loss  1.199595, Average Loss  1.191432, Time  0.439074
2021-09-27 19:07:34.857760 : Epoch  9, Batch    557, Loss  1.191789, Average Loss  1.191541, Time  0.438447
2021-09-27 19:07:40.440818 : Epoch  9, Batch    558, Loss  1.205691, Average Loss  1.191541, Time  0.447658
2021-09-27 19:07:45.954263 : Epoch  9, Batch    559, Loss  1.182306, Average Loss  1.191423, Time  0.437271
2021-09-27 19:07:51.592494 : Epoch  9, Batch    560, Loss  1.205661, Average Loss  1.191430, Time  0.437158
2021-09-27 19:07:57.217996 : Epoch  9, Batch    561, Loss  1.193730, Average Loss  1.191420, Time  0.437303
2021-09-27 19:08:02.738905 : Epoch  9, Batch    562, Loss  1.194078, Average Loss  1.191411, Time  0.438275
2021-09-27 19:08:08.183766 : Epoch  9, Batch    563, Loss  1.203220, Average Loss  1.191487, Time  0.438565
2021-09-27 19:08:13.623651 : Epoch  9, Batch    564, Loss  1.193089, Average Loss  1.191426, Time  0.435625
2021-09-27 19:08:19.142470 : Epoch  9, Batch    565, Loss  1.186280, Average Loss  1.191474, Time  0.437037
2021-09-27 19:08:24.821868 : Epoch  9, Batch    566, Loss  1.202208, Average Loss  1.191518, Time  0.438872
2021-09-27 19:08:30.491455 : Epoch  9, Batch    567, Loss  1.190917, Average Loss  1.191537, Time  0.452622
2021-09-27 19:08:36.007876 : Epoch  9, Batch    568, Loss  1.196327, Average Loss  1.191621, Time  0.435572
2021-09-27 19:08:41.438460 : Epoch  9, Batch    569, Loss  1.177708, Average Loss  1.191566, Time  0.436384
2021-09-27 19:08:46.940710 : Epoch  9, Batch    570, Loss  1.193521, Average Loss  1.191657, Time  0.440957
2021-09-27 19:08:52.449416 : Epoch  9, Batch    571, Loss  1.205955, Average Loss  1.191621, Time  0.438215
2021-09-27 19:08:58.097381 : Epoch  9, Batch    572, Loss  1.190317, Average Loss  1.191640, Time  0.437587
2021-09-27 19:09:03.634320 : Epoch  9, Batch    573, Loss  1.201551, Average Loss  1.191665, Time  0.439621
2021-09-27 19:09:09.340085 : Epoch  9, Batch    574, Loss  1.180621, Average Loss  1.191614, Time  0.438988
2021-09-27 19:09:15.066871 : Epoch  9, Batch    575, Loss  1.196280, Average Loss  1.191644, Time  0.438618
2021-09-27 19:09:26.487090 : Epoch  9, Batch    576, Loss  1.186467, Average Loss  1.191570, Time  0.453329
2021-09-27 19:13:49.541780 : CheckPoint: Validation Loss  0.00020656, Best Loss  0.00020284
2021-09-27 19:13:55.241441 : Epoch  9, Batch    577, Loss  1.185922, Average Loss  1.191596, Time  0.438135
2021-09-27 19:14:00.834069 : Epoch  9, Batch    578, Loss  1.192340, Average Loss  1.191427, Time  0.437288
2021-09-27 19:14:06.345412 : Epoch  9, Batch    579, Loss  1.198806, Average Loss  1.191477, Time  0.447426
2021-09-27 19:14:12.052840 : Epoch  9, Batch    580, Loss  1.200886, Average Loss  1.191512, Time  0.439788
2021-09-27 19:14:17.497243 : Epoch  9, Batch    581, Loss  1.190078, Average Loss  1.191524, Time  0.437504
2021-09-27 19:14:23.073341 : Epoch  9, Batch    582, Loss  1.191606, Average Loss  1.191528, Time  0.438048
2021-09-27 19:14:28.704987 : Epoch  9, Batch    583, Loss  1.215200, Average Loss  1.191646, Time  0.438797
2021-09-27 19:14:34.466286 : Epoch  9, Batch    584, Loss  1.185105, Average Loss  1.191674, Time  0.439003
2021-09-27 19:14:39.979024 : Epoch  9, Batch    585, Loss  1.198140, Average Loss  1.191760, Time  0.438888
2021-09-27 19:14:45.405501 : Epoch  9, Batch    586, Loss  1.191130, Average Loss  1.191750, Time  0.437145
2021-09-27 19:14:50.964171 : Epoch  9, Batch    587, Loss  1.193640, Average Loss  1.191788, Time  0.438790
2021-09-27 19:14:56.708196 : Epoch  9, Batch    588, Loss  1.201630, Average Loss  1.191843, Time  0.455393
2021-09-27 19:15:02.256692 : Epoch  9, Batch    589, Loss  1.181546, Average Loss  1.191786, Time  0.436127
2021-09-27 19:15:07.812111 : Epoch  9, Batch    590, Loss  1.186027, Average Loss  1.191773, Time  0.439235
2021-09-27 19:15:13.414812 : Epoch  9, Batch    591, Loss  1.193852, Average Loss  1.191764, Time  0.439695
2021-09-27 19:15:19.030150 : Epoch  9, Batch    592, Loss  1.190067, Average Loss  1.191732, Time  0.437863
2021-09-27 19:15:24.719849 : Epoch  9, Batch    593, Loss  1.183779, Average Loss  1.191808, Time  0.439130
2021-09-27 19:15:30.417529 : Epoch  9, Batch    594, Loss  1.203352, Average Loss  1.191877, Time  0.438792
2021-09-27 19:15:36.100411 : Epoch  9, Batch    595, Loss  1.192505, Average Loss  1.191946, Time  0.438084
2021-09-27 19:15:41.730986 : Epoch  9, Batch    596, Loss  1.191156, Average Loss  1.192020, Time  0.450581
2021-09-27 19:15:47.324717 : Epoch  9, Batch    597, Loss  1.197395, Average Loss  1.192065, Time  0.436913
2021-09-27 19:15:52.860459 : Epoch  9, Batch    598, Loss  1.188259, Average Loss  1.192063, Time  0.439234
2021-09-27 19:15:58.554919 : Epoch  9, Batch    599, Loss  1.197085, Average Loss  1.192183, Time  0.439992
2021-09-27 19:16:04.204710 : Epoch  9, Batch    600, Loss  1.206843, Average Loss  1.192307, Time  0.438595
2021-09-27 19:16:09.898395 : Epoch  9, Batch    601, Loss  1.190738, Average Loss  1.192425, Time  0.437483
2021-09-27 19:16:15.425638 : Epoch  9, Batch    602, Loss  1.190027, Average Loss  1.192396, Time  0.437368
2021-09-27 19:16:20.977986 : Epoch  9, Batch    603, Loss  1.195493, Average Loss  1.192496, Time  0.438687
2021-09-27 19:16:26.622482 : Epoch  9, Batch    604, Loss  1.189172, Average Loss  1.192464, Time  0.454411
2021-09-27 19:16:32.341508 : Epoch  9, Batch    605, Loss  1.179746, Average Loss  1.192374, Time  0.436861
2021-09-27 19:16:37.708430 : Epoch  9, Batch    606, Loss  1.195555, Average Loss  1.192326, Time  0.438788
2021-09-27 19:16:43.380397 : Epoch  9, Batch    607, Loss  1.196576, Average Loss  1.192314, Time  0.437967
2021-09-27 19:16:48.908709 : Epoch  9, Batch    608, Loss  1.194657, Average Loss  1.192248, Time  0.440020
2021-09-27 19:16:54.375532 : Epoch  9, Batch    609, Loss  1.202867, Average Loss  1.192307, Time  0.438604
2021-09-27 19:16:59.969325 : Epoch  9, Batch    610, Loss  1.185714, Average Loss  1.192232, Time  0.437476
2021-09-27 19:17:05.652111 : Epoch  9, Batch    611, Loss  1.205250, Average Loss  1.192259, Time  0.438879
2021-09-27 19:17:11.331200 : Epoch  9, Batch    612, Loss  1.211038, Average Loss  1.192447, Time  0.448744
2021-09-27 19:17:17.026529 : Epoch  9, Batch    613, Loss  1.184797, Average Loss  1.192461, Time  0.440612
2021-09-27 19:17:22.551706 : Epoch  9, Batch    614, Loss  1.190297, Average Loss  1.192482, Time  0.438646
2021-09-27 19:17:28.033959 : Epoch  9, Batch    615, Loss  1.192621, Average Loss  1.192446, Time  0.438006
2021-09-27 19:17:33.621314 : Epoch  9, Batch    616, Loss  1.185945, Average Loss  1.192389, Time  0.437212
2021-09-27 19:17:39.111072 : Epoch  9, Batch    617, Loss  1.193262, Average Loss  1.192361, Time  0.438027
2021-09-27 19:17:44.569778 : Epoch  9, Batch    618, Loss  1.188841, Average Loss  1.192372, Time  0.436036
2021-09-27 19:17:49.975505 : Epoch  9, Batch    619, Loss  1.185452, Average Loss  1.192390, Time  0.436464
2021-09-27 19:17:55.484291 : Epoch  9, Batch    620, Loss  1.195349, Average Loss  1.192425, Time  0.438258
2021-09-27 19:18:01.096068 : Epoch  9, Batch    621, Loss  1.187102, Average Loss  1.192410, Time  0.451717
2021-09-27 19:18:06.826108 : Epoch  9, Batch    622, Loss  1.189220, Average Loss  1.192313, Time  0.439189
2021-09-27 19:18:12.541212 : Epoch  9, Batch    623, Loss  1.199764, Average Loss  1.192323, Time  0.439797
2021-09-27 19:18:18.214779 : Epoch  9, Batch    624, Loss  1.185675, Average Loss  1.192274, Time  0.439878
2021-09-27 19:18:23.897341 : Epoch  9, Batch    625, Loss  1.193032, Average Loss  1.192344, Time  0.439030
2021-09-27 19:18:29.624174 : Epoch  9, Batch    626, Loss  1.196181, Average Loss  1.192336, Time  0.439623
2021-09-27 19:18:35.326609 : Epoch  9, Batch    627, Loss  1.209244, Average Loss  1.192380, Time  0.439557
2021-09-27 19:18:41.044517 : Epoch  9, Batch    628, Loss  1.205554, Average Loss  1.192447, Time  0.439600
2021-09-27 19:18:46.505844 : Epoch  9, Batch    629, Loss  1.198842, Average Loss  1.192498, Time  0.452660
2021-09-27 19:18:51.959961 : Epoch  9, Batch    630, Loss  1.188458, Average Loss  1.192535, Time  0.436952
2021-09-27 19:18:57.529481 : Epoch  9, Batch    631, Loss  1.197313, Average Loss  1.192549, Time  0.440506
2021-09-27 19:19:03.075921 : Epoch  9, Batch    632, Loss  1.202751, Average Loss  1.192692, Time  0.440146
2021-09-27 19:19:08.730858 : Epoch  9, Batch    633, Loss  1.181905, Average Loss  1.192742, Time  0.439288
2021-09-27 19:19:14.241299 : Epoch  9, Batch    634, Loss  1.185022, Average Loss  1.192729, Time  0.437070
2021-09-27 19:19:19.709895 : Epoch  9, Batch    635, Loss  1.202425, Average Loss  1.192729, Time  0.436611
2021-09-27 19:19:25.277391 : Epoch  9, Batch    636, Loss  1.177255, Average Loss  1.192702, Time  0.438576
2021-09-27 19:19:30.954974 : Epoch  9, Batch    637, Loss  1.179570, Average Loss  1.192698, Time  0.450594
2021-09-27 19:19:36.407705 : Epoch  9, Batch    638, Loss  1.182401, Average Loss  1.192606, Time  0.438884
2021-09-27 19:19:41.924482 : Epoch  9, Batch    639, Loss  1.176891, Average Loss  1.192588, Time  0.437565
2021-09-27 19:19:47.527871 : Epoch  9, Batch    640, Loss  1.203839, Average Loss  1.192556, Time  0.440080
2021-09-27 19:19:52.951015 : Epoch  9, Batch    641, Loss  1.192436, Average Loss  1.192542, Time  0.435623
2021-09-27 19:19:58.465881 : Epoch  9, Batch    642, Loss  1.191568, Average Loss  1.192511, Time  0.438448
2021-09-27 19:20:03.993511 : Epoch  9, Batch    643, Loss  1.192529, Average Loss  1.192455, Time  0.437498
2021-09-27 19:20:09.656539 : Epoch  9, Batch    644, Loss  1.190709, Average Loss  1.192454, Time  0.439349
2021-09-27 19:20:15.316578 : Epoch  9, Batch    645, Loss  1.201156, Average Loss  1.192517, Time  0.439296
2021-09-27 19:20:20.999875 : Epoch  9, Batch    646, Loss  1.189630, Average Loss  1.192528, Time  0.446893
2021-09-27 19:20:26.542430 : Epoch  9, Batch    647, Loss  1.188964, Average Loss  1.192534, Time  0.438774
2021-09-27 19:20:32.061797 : Epoch  9, Batch    648, Loss  1.186136, Average Loss  1.192563, Time  0.437656
2021-09-27 19:20:37.576547 : Epoch  9, Batch    649, Loss  1.190055, Average Loss  1.192554, Time  0.440242
2021-09-27 19:20:43.285493 : Epoch  9, Batch    650, Loss  1.185301, Average Loss  1.192564, Time  0.439481
2021-09-27 19:20:49.005003 : Epoch  9, Batch    651, Loss  1.191685, Average Loss  1.192619, Time  0.439806
2021-09-27 19:20:54.736465 : Epoch  9, Batch    652, Loss  1.201055, Average Loss  1.192573, Time  0.439158
2021-09-27 19:21:00.625356 : Epoch  9, Batch    653, Loss  1.193856, Average Loss  1.192563, Time  0.440272
2021-09-27 19:21:06.542553 : Epoch  9, Batch    654, Loss  1.197943, Average Loss  1.192558, Time  0.455956
2021-09-27 19:21:12.429503 : Epoch  9, Batch    655, Loss  1.199395, Average Loss  1.192651, Time  0.440228
2021-09-27 19:21:18.331227 : Epoch  9, Batch    656, Loss  1.205052, Average Loss  1.192686, Time  0.438957
2021-09-27 19:21:24.223596 : Epoch  9, Batch    657, Loss  1.194030, Average Loss  1.192632, Time  0.440202
2021-09-27 19:21:30.131883 : Epoch  9, Batch    658, Loss  1.184124, Average Loss  1.192611, Time  0.438616
2021-09-27 19:21:36.013730 : Epoch  9, Batch    659, Loss  1.198846, Average Loss  1.192577, Time  0.438711
2021-09-27 19:21:41.906184 : Epoch  9, Batch    660, Loss  1.186195, Average Loss  1.192503, Time  0.438383
2021-09-27 19:21:47.793403 : Epoch  9, Batch    661, Loss  1.203373, Average Loss  1.192649, Time  0.439144
2021-09-27 19:21:53.575398 : Epoch  9, Batch    662, Loss  1.204856, Average Loss  1.192813, Time  0.447173
2021-09-27 19:21:58.907692 : Epoch  9, Batch    663, Loss  1.188275, Average Loss  1.192812, Time  0.435920
2021-09-27 19:22:04.183375 : Epoch  9, Batch    664, Loss  1.194012, Average Loss  1.192830, Time  0.435487
2021-09-27 19:22:09.522867 : Epoch  9, Batch    665, Loss  1.214737, Average Loss  1.193037, Time  0.438882
2021-09-27 19:22:15.088047 : Epoch  9, Batch    666, Loss  1.184244, Average Loss  1.192975, Time  0.437244
2021-09-27 19:22:20.602524 : Epoch  9, Batch    667, Loss  1.213684, Average Loss  1.193040, Time  0.435873
2021-09-27 19:22:26.025330 : Epoch  9, Batch    668, Loss  1.185365, Average Loss  1.192960, Time  0.435147
2021-09-27 19:22:31.327516 : Epoch  9, Batch    669, Loss  1.212225, Average Loss  1.193092, Time  0.437744
2021-09-27 19:22:36.746721 : Epoch  9, Batch    670, Loss  1.199162, Average Loss  1.193047, Time  0.437889
2021-09-27 19:22:42.338010 : Epoch  9, Batch    671, Loss  1.191478, Average Loss  1.192988, Time  0.449988
2021-09-27 19:22:47.794574 : Epoch  9, Batch    672, Loss  1.186794, Average Loss  1.192999, Time  0.436635
2021-09-27 19:22:53.282790 : Epoch  9, Batch    673, Loss  1.187128, Average Loss  1.192994, Time  0.437034
2021-09-27 19:22:58.850517 : Epoch  9, Batch    674, Loss  1.200215, Average Loss  1.193018, Time  0.439200
2021-09-27 19:23:04.193649 : Epoch  9, Batch    675, Loss  1.175988, Average Loss  1.192947, Time  0.435589
2021-09-27 19:23:09.478712 : Epoch  9, Batch    676, Loss  1.185826, Average Loss  1.192921, Time  0.435923
2021-09-27 19:27:41.862716 : CheckPoint: Validation Loss  0.00020895, Best Loss  0.00020284
2021-09-27 19:27:47.771099 : Epoch  9, Batch    677, Loss  1.197242, Average Loss  1.192980, Time  0.439122
2021-09-27 19:27:53.703054 : Epoch  9, Batch    678, Loss  1.191272, Average Loss  1.193055, Time  0.440492
2021-09-27 19:27:59.598654 : Epoch  9, Batch    679, Loss  1.177689, Average Loss  1.192923, Time  0.441163
2021-09-27 19:28:05.539739 : Epoch  9, Batch    680, Loss  1.188380, Average Loss  1.192932, Time  0.454412
2021-09-27 19:28:11.448751 : Epoch  9, Batch    681, Loss  1.191601, Average Loss  1.192839, Time  0.438748
2021-09-27 19:28:17.364451 : Epoch  9, Batch    682, Loss  1.212353, Average Loss  1.192976, Time  0.441848
2021-09-27 19:28:23.280075 : Epoch  9, Batch    683, Loss  1.186177, Average Loss  1.192871, Time  0.439505
2021-09-27 19:28:29.181730 : Epoch  9, Batch    684, Loss  1.209746, Average Loss  1.192969, Time  0.443061
2021-09-27 19:28:35.105625 : Epoch  9, Batch    685, Loss  1.182336, Average Loss  1.192826, Time  0.438889
2021-09-27 19:28:41.012829 : Epoch  9, Batch    686, Loss  1.196247, Average Loss  1.192875, Time  0.439384
2021-09-27 19:28:46.946362 : Epoch  9, Batch    687, Loss  1.182065, Average Loss  1.192829, Time  0.440257
2021-09-27 19:28:52.862298 : Epoch  9, Batch    688, Loss  1.181628, Average Loss  1.192831, Time  0.453314
2021-09-27 19:28:58.767766 : Epoch  9, Batch    689, Loss  1.183076, Average Loss  1.192781, Time  0.438936
2021-09-27 19:29:04.692589 : Epoch  9, Batch    690, Loss  1.196230, Average Loss  1.192857, Time  0.440230
2021-09-27 19:29:10.590744 : Epoch  9, Batch    691, Loss  1.190630, Average Loss  1.192823, Time  0.440735
2021-09-27 19:29:16.507823 : Epoch  9, Batch    692, Loss  1.200380, Average Loss  1.192898, Time  0.438696
2021-09-27 19:29:22.407292 : Epoch  9, Batch    693, Loss  1.192266, Average Loss  1.192911, Time  0.438667
2021-09-27 19:29:28.332115 : Epoch  9, Batch    694, Loss  1.193082, Average Loss  1.192983, Time  0.441785
2021-09-27 19:29:34.249119 : Epoch  9, Batch    695, Loss  1.190364, Average Loss  1.192993, Time  0.440553
2021-09-27 19:29:40.169791 : Epoch  9, Batch    696, Loss  1.196948, Average Loss  1.193000, Time  0.452355
2021-09-27 19:29:46.069801 : Epoch  9, Batch    697, Loss  1.187415, Average Loss  1.192929, Time  0.440328
2021-09-27 19:29:52.002344 : Epoch  9, Batch    698, Loss  1.196602, Average Loss  1.192916, Time  0.440386
2021-09-27 19:29:57.925310 : Epoch  9, Batch    699, Loss  1.183630, Average Loss  1.192824, Time  0.440196
2021-09-27 19:30:03.815969 : Epoch  9, Batch    700, Loss  1.196785, Average Loss  1.192809, Time  0.440121
2021-09-27 19:30:09.743737 : Epoch  9, Batch    701, Loss  1.183713, Average Loss  1.192817, Time  0.438683
2021-09-27 19:30:15.642557 : Epoch  9, Batch    702, Loss  1.189701, Average Loss  1.192838, Time  0.442103
2021-09-27 19:30:21.531840 : Epoch  9, Batch    703, Loss  1.191090, Average Loss  1.192852, Time  0.441932
2021-09-27 19:30:27.452542 : Epoch  9, Batch    704, Loss  1.185271, Average Loss  1.192754, Time  0.451957
2021-09-27 19:30:33.380206 : Epoch  9, Batch    705, Loss  1.193979, Average Loss  1.192695, Time  0.445275
2021-09-27 19:30:39.281263 : Epoch  9, Batch    706, Loss  1.187721, Average Loss  1.192632, Time  0.439069
2021-09-27 19:30:45.198348 : Epoch  9, Batch    707, Loss  1.190819, Average Loss  1.192653, Time  0.439036
2021-09-27 19:30:51.128345 : Epoch  9, Batch    708, Loss  1.192075, Average Loss  1.192644, Time  0.440571
2021-09-27 19:30:57.049304 : Epoch  9, Batch    709, Loss  1.186481, Average Loss  1.192564, Time  0.440565
2021-09-27 19:31:02.955847 : Epoch  9, Batch    710, Loss  1.202651, Average Loss  1.192658, Time  0.440045
2021-09-27 19:31:08.876233 : Epoch  9, Batch    711, Loss  1.208562, Average Loss  1.192730, Time  0.439180
2021-09-27 19:31:14.790804 : Epoch  9, Batch    712, Loss  1.190226, Average Loss  1.192716, Time  0.451477
2021-09-27 19:31:20.709316 : Epoch  9, Batch    713, Loss  1.188793, Average Loss  1.192755, Time  0.439706
2021-09-27 19:31:26.604014 : Epoch  9, Batch    714, Loss  1.187459, Average Loss  1.192682, Time  0.439566
2021-09-27 19:31:32.502707 : Epoch  9, Batch    715, Loss  1.192003, Average Loss  1.192697, Time  0.439581
2021-09-27 19:31:38.416783 : Epoch  9, Batch    716, Loss  1.189844, Average Loss  1.192786, Time  0.441102
2021-09-27 19:31:44.338818 : Epoch  9, Batch    717, Loss  1.201278, Average Loss  1.192836, Time  0.438441
2021-09-27 19:31:50.241954 : Epoch  9, Batch    718, Loss  1.201391, Average Loss  1.192851, Time  0.440106
2021-09-27 19:31:56.156374 : Epoch  9, Batch    719, Loss  1.185584, Average Loss  1.192821, Time  0.439028
2021-09-27 19:32:02.088136 : Epoch  9, Batch    720, Loss  1.183560, Average Loss  1.192840, Time  0.449503
2021-09-27 19:32:08.012846 : Epoch  9, Batch    721, Loss  1.196230, Average Loss  1.192815, Time  0.440971
2021-09-27 19:32:13.930107 : Epoch  9, Batch    722, Loss  1.185129, Average Loss  1.192839, Time  0.441699
2021-09-27 19:32:19.837772 : Epoch  9, Batch    723, Loss  1.193389, Average Loss  1.192951, Time  0.442465
2021-09-27 19:32:25.740801 : Epoch  9, Batch    724, Loss  1.189290, Average Loss  1.192883, Time  0.439963
2021-09-27 19:32:31.646776 : Epoch  9, Batch    725, Loss  1.197071, Average Loss  1.192992, Time  0.441375
2021-09-27 19:32:37.556231 : Epoch  9, Batch    726, Loss  1.194857, Average Loss  1.193104, Time  0.440215
2021-09-27 19:32:43.455362 : Epoch  9, Batch    727, Loss  1.206426, Average Loss  1.193197, Time  0.438939
2021-09-27 19:32:49.391066 : Epoch  9, Batch    728, Loss  1.194548, Average Loss  1.193170, Time  0.448650
2021-09-27 19:32:55.312696 : Epoch  9, Batch    729, Loss  1.194421, Average Loss  1.193183, Time  0.440056
2021-09-27 19:33:01.213808 : Epoch  9, Batch    730, Loss  1.195778, Average Loss  1.193161, Time  0.442358
2021-09-27 19:33:07.117936 : Epoch  9, Batch    731, Loss  1.195945, Average Loss  1.193150, Time  0.439241
2021-09-27 19:33:13.029644 : Epoch  9, Batch    732, Loss  1.194249, Average Loss  1.193071, Time  0.439549
2021-09-27 19:33:18.935442 : Epoch  9, Batch    733, Loss  1.196112, Average Loss  1.193100, Time  0.439071
2021-09-27 19:33:24.824090 : Epoch  9, Batch    734, Loss  1.189939, Average Loss  1.193096, Time  0.438538
2021-09-27 19:33:30.741786 : Epoch  9, Batch    735, Loss  1.182548, Average Loss  1.193032, Time  0.438782
2021-09-27 19:33:36.682220 : Epoch  9, Batch    736, Loss  1.191681, Average Loss  1.193064, Time  0.451129
2021-09-27 19:33:42.606202 : Epoch  9, Batch    737, Loss  1.189875, Average Loss  1.193079, Time  0.439495
2021-09-27 19:33:48.522740 : Epoch  9, Batch    738, Loss  1.194921, Average Loss  1.193157, Time  0.441098
2021-09-27 19:33:54.446756 : Epoch  9, Batch    739, Loss  1.186013, Average Loss  1.193171, Time  0.440034
2021-09-27 19:34:00.350889 : Epoch  9, Batch    740, Loss  1.200902, Average Loss  1.193183, Time  0.441556
2021-09-27 19:34:06.273492 : Epoch  9, Batch    741, Loss  1.185322, Average Loss  1.193091, Time  0.439981
2021-09-27 19:34:12.187903 : Epoch  9, Batch    742, Loss  1.186810, Average Loss  1.193050, Time  0.439802
2021-09-27 19:34:18.081088 : Epoch  9, Batch    743, Loss  1.200908, Average Loss  1.193086, Time  0.438843
2021-09-27 19:34:24.012570 : Epoch  9, Batch    744, Loss  1.197921, Average Loss  1.193171, Time  0.453175
2021-09-27 19:34:29.946815 : Epoch  9, Batch    745, Loss  1.187705, Average Loss  1.193075, Time  0.439147
2021-09-27 19:34:35.870852 : Epoch  9, Batch    746, Loss  1.191659, Average Loss  1.193014, Time  0.440578
2021-09-27 19:34:41.784102 : Epoch  9, Batch    747, Loss  1.188986, Average Loss  1.192976, Time  0.439508
2021-09-27 19:34:47.700409 : Epoch  9, Batch    748, Loss  1.182095, Average Loss  1.192880, Time  0.439834
2021-09-27 19:34:53.595875 : Epoch  9, Batch    749, Loss  1.198972, Average Loss  1.192896, Time  0.440618
2021-09-27 19:34:59.509748 : Epoch  9, Batch    750, Loss  1.208570, Average Loss  1.193007, Time  0.441529
2021-09-27 19:35:05.423950 : Epoch  9, Batch    751, Loss  1.186778, Average Loss  1.193062, Time  0.438867
2021-09-27 19:35:11.344152 : Epoch  9, Batch    752, Loss  1.204147, Average Loss  1.193179, Time  0.454800
2021-09-27 19:35:17.263089 : Epoch  9, Batch    753, Loss  1.209831, Average Loss  1.193242, Time  0.439896
2021-09-27 19:35:23.155947 : Epoch  9, Batch    754, Loss  1.191245, Average Loss  1.193190, Time  0.440248
2021-09-27 19:35:29.084149 : Epoch  9, Batch    755, Loss  1.182405, Average Loss  1.193133, Time  0.439099
2021-09-27 19:35:34.996743 : Epoch  9, Batch    756, Loss  1.186970, Average Loss  1.193070, Time  0.440005
2021-09-27 19:35:40.916462 : Epoch  9, Batch    757, Loss  1.203420, Average Loss  1.193128, Time  0.440266
2021-09-27 19:35:46.822288 : Epoch  9, Batch    758, Loss  1.187688, Average Loss  1.193038, Time  0.438630
2021-09-27 19:35:52.730104 : Epoch  9, Batch    759, Loss  1.196658, Average Loss  1.193110, Time  0.441287
2021-09-27 19:35:58.679597 : Epoch  9, Batch    760, Loss  1.195621, Average Loss  1.193059, Time  0.458388
2021-09-27 19:36:04.572670 : Epoch  9, Batch    761, Loss  1.188847, Average Loss  1.193035, Time  0.438690
2021-09-27 19:36:10.495355 : Epoch  9, Batch    762, Loss  1.194098, Average Loss  1.193035, Time  0.438254
2021-09-27 19:36:16.396767 : Epoch  9, Batch    763, Loss  1.198442, Average Loss  1.193011, Time  0.439069
2021-09-27 19:36:22.326632 : Epoch  9, Batch    764, Loss  1.187092, Average Loss  1.192981, Time  0.440833
2021-09-27 19:36:28.215384 : Epoch  9, Batch    765, Loss  1.202195, Average Loss  1.193061, Time  0.439169
2021-09-27 19:36:34.133367 : Epoch  9, Batch    766, Loss  1.180186, Average Loss  1.192951, Time  0.440633
2021-09-27 19:36:40.059817 : Epoch  9, Batch    767, Loss  1.191939, Average Loss  1.192956, Time  0.439646
2021-09-27 19:36:45.992569 : Epoch  9, Batch    768, Loss  1.198531, Average Loss  1.192967, Time  0.452506
2021-09-27 19:36:51.914528 : Epoch  9, Batch    769, Loss  1.197356, Average Loss  1.193065, Time  0.444520
2021-09-27 19:36:57.840227 : Epoch  9, Batch    770, Loss  1.190331, Average Loss  1.193049, Time  0.439980
2021-09-27 19:37:03.761768 : Epoch  9, Batch    771, Loss  1.187119, Average Loss  1.192955, Time  0.439533
2021-09-27 19:37:09.671191 : Epoch  9, Batch    772, Loss  1.193430, Average Loss  1.192970, Time  0.439725
2021-09-27 19:37:15.583954 : Epoch  9, Batch    773, Loss  1.197844, Average Loss  1.192952, Time  0.439400
2021-09-27 19:37:21.513631 : Epoch  9, Batch    774, Loss  1.193649, Average Loss  1.193017, Time  0.440792
2021-09-27 19:37:27.447076 : Epoch  9, Batch    775, Loss  1.181285, Average Loss  1.192942, Time  0.440911
2021-09-27 19:37:33.393280 : Epoch  9, Batch    776, Loss  1.190216, Average Loss  1.192961, Time  0.461764
2021-09-27 19:42:11.319587 : CheckPoint: Validation Loss  0.00020724, Best Loss  0.00020284
2021-09-27 19:42:17.270361 : Epoch  9, Batch    777, Loss  1.181866, Average Loss  1.192941, Time  0.440460
2021-09-27 19:42:23.202802 : Epoch  9, Batch    778, Loss  1.197394, Average Loss  1.192966, Time  0.438934
2021-09-27 19:42:29.146850 : Epoch  9, Batch    779, Loss  1.180146, Average Loss  1.192872, Time  0.440509
2021-09-27 19:42:35.055817 : Epoch  9, Batch    780, Loss  1.183753, Average Loss  1.192787, Time  0.441219
2021-09-27 19:42:40.986840 : Epoch  9, Batch    781, Loss  1.197407, Average Loss  1.192823, Time  0.438523
2021-09-27 19:42:46.919351 : Epoch  9, Batch    782, Loss  1.194714, Average Loss  1.192839, Time  0.438514
2021-09-27 19:42:52.861341 : Epoch  9, Batch    783, Loss  1.182918, Average Loss  1.192678, Time  0.452521
2021-09-27 19:42:58.789685 : Epoch  9, Batch    784, Loss  1.194254, Average Loss  1.192723, Time  0.441504
2021-09-27 19:43:04.738048 : Epoch  9, Batch    785, Loss  1.189835, Average Loss  1.192682, Time  0.438415
2021-09-27 19:43:10.675926 : Epoch  9, Batch    786, Loss  1.188137, Average Loss  1.192667, Time  0.443947
2021-09-27 19:43:16.618893 : Epoch  9, Batch    787, Loss  1.190740, Average Loss  1.192652, Time  0.438969
2021-09-27 19:43:22.567464 : Epoch  9, Batch    788, Loss  1.191476, Average Loss  1.192602, Time  0.440400
2021-09-27 19:43:28.512816 : Epoch  9, Batch    789, Loss  1.185809, Average Loss  1.192623, Time  0.440339
2021-09-27 19:43:34.423418 : Epoch  9, Batch    790, Loss  1.210600, Average Loss  1.192746, Time  0.438640
2021-09-27 19:43:40.356757 : Epoch  9, Batch    791, Loss  1.190219, Average Loss  1.192728, Time  0.444479
2021-09-27 19:43:46.299869 : Epoch  9, Batch    792, Loss  1.195190, Average Loss  1.192753, Time  0.439240
2021-09-27 19:43:52.219502 : Epoch  9, Batch    793, Loss  1.193408, Average Loss  1.192801, Time  0.440111
2021-09-27 19:43:58.156812 : Epoch  9, Batch    794, Loss  1.198083, Average Loss  1.192775, Time  0.439708
2021-09-27 19:44:04.097139 : Epoch  9, Batch    795, Loss  1.195321, Average Loss  1.192789, Time  0.441774
2021-09-27 19:44:10.072017 : Epoch  9, Batch    796, Loss  1.185426, Average Loss  1.192760, Time  0.440434
2021-09-27 19:44:16.017645 : Epoch  9, Batch    797, Loss  1.183089, Average Loss  1.192689, Time  0.439321
2021-09-27 19:44:21.963130 : Epoch  9, Batch    798, Loss  1.192430, Average Loss  1.192710, Time  0.445894
2021-09-27 19:44:27.888178 : Epoch  9, Batch    799, Loss  1.205451, Average Loss  1.192752, Time  0.439690
2021-09-27 19:44:33.802072 : Epoch  9, Batch    800, Loss  1.199519, Average Loss  1.192715, Time  0.441516
2021-09-27 19:44:39.720806 : Epoch  9, Batch    801, Loss  1.186376, Average Loss  1.192693, Time  0.440969
2021-09-27 19:44:45.667793 : Epoch  9, Batch    802, Loss  1.181385, Average Loss  1.192650, Time  0.439007
2021-09-27 19:44:51.584974 : Epoch  9, Batch    803, Loss  1.182164, Average Loss  1.192583, Time  0.439414
2021-09-27 19:44:57.522177 : Epoch  9, Batch    804, Loss  1.191829, Average Loss  1.192597, Time  0.439809
2021-09-27 19:45:03.452775 : Epoch  9, Batch    805, Loss  1.174176, Average Loss  1.192569, Time  0.439905
2021-09-27 19:45:09.397721 : Epoch  9, Batch    806, Loss  1.182277, Average Loss  1.192502, Time  0.449071
2021-09-27 19:45:15.348654 : Epoch  9, Batch    807, Loss  1.189135, Average Loss  1.192465, Time  0.440096
2021-09-27 19:45:21.264081 : Epoch  9, Batch    808, Loss  1.185426, Average Loss  1.192419, Time  0.438857
2021-09-27 19:45:27.202435 : Epoch  9, Batch    809, Loss  1.194643, Average Loss  1.192378, Time  0.438929
2021-09-27 19:45:33.146668 : Epoch  9, Batch    810, Loss  1.182805, Average Loss  1.192363, Time  0.439743
2021-09-27 19:45:39.082682 : Epoch  9, Batch    811, Loss  1.187689, Average Loss  1.192276, Time  0.438730
2021-09-27 19:45:45.025134 : Epoch  9, Batch    812, Loss  1.193221, Average Loss  1.192186, Time  0.442036
2021-09-27 19:45:50.941982 : Epoch  9, Batch    813, Loss  1.189632, Average Loss  1.192211, Time  0.439624
2021-09-27 19:45:56.872514 : Epoch  9, Batch    814, Loss  1.183258, Average Loss  1.192175, Time  0.449175
2021-09-27 19:46:02.816804 : Epoch  9, Batch    815, Loss  1.198201, Average Loss  1.192203, Time  0.440295
2021-09-27 19:46:08.759890 : Epoch  9, Batch    816, Loss  1.190738, Average Loss  1.192227, Time  0.440112
2021-09-27 19:46:14.700223 : Epoch  9, Batch    817, Loss  1.201174, Average Loss  1.192267, Time  0.440571
2021-09-27 19:46:20.634576 : Epoch  9, Batch    818, Loss  1.193525, Average Loss  1.192290, Time  0.439831
2021-09-27 19:46:26.589251 : Epoch  9, Batch    819, Loss  1.197352, Average Loss  1.192350, Time  0.440399
2021-09-27 19:46:32.506579 : Epoch  9, Batch    820, Loss  1.180767, Average Loss  1.192277, Time  0.441005
2021-09-27 19:46:38.438257 : Epoch  9, Batch    821, Loss  1.185959, Average Loss  1.192271, Time  0.439265
2021-09-27 19:46:44.394490 : Epoch  9, Batch    822, Loss  1.191485, Average Loss  1.192282, Time  0.456007
2021-09-27 19:46:50.321851 : Epoch  9, Batch    823, Loss  1.180557, Average Loss  1.192186, Time  0.440444
2021-09-27 19:46:56.258540 : Epoch  9, Batch    824, Loss  1.193624, Average Loss  1.192226, Time  0.440279
2021-09-27 19:47:02.183829 : Epoch  9, Batch    825, Loss  1.198994, Average Loss  1.192256, Time  0.441169
2021-09-27 19:47:08.116565 : Epoch  9, Batch    826, Loss  1.183905, Average Loss  1.192195, Time  0.439444
2021-09-27 19:47:14.033982 : Epoch  9, Batch    827, Loss  1.185720, Average Loss  1.192077, Time  0.438959
2021-09-27 19:47:19.965791 : Epoch  9, Batch    828, Loss  1.188702, Average Loss  1.191993, Time  0.440009
2021-09-27 19:47:25.894488 : Epoch  9, Batch    829, Loss  1.198978, Average Loss  1.191993, Time  0.441999
2021-09-27 19:47:31.853908 : Epoch  9, Batch    830, Loss  1.199734, Average Loss  1.192050, Time  0.455702
2021-09-27 19:47:37.771136 : Epoch  9, Batch    831, Loss  1.191362, Average Loss  1.192020, Time  0.440194
2021-09-27 19:47:43.697258 : Epoch  9, Batch    832, Loss  1.204433, Average Loss  1.192028, Time  0.440469
2021-09-27 19:47:49.641946 : Epoch  9, Batch    833, Loss  1.191785, Average Loss  1.192078, Time  0.439980
2021-09-27 19:47:55.580207 : Epoch  9, Batch    834, Loss  1.187283, Average Loss  1.192089, Time  0.443051
2021-09-27 19:48:01.506802 : Epoch  9, Batch    835, Loss  1.192950, Average Loss  1.192042, Time  0.442811
2021-09-27 19:48:07.443736 : Epoch  9, Batch    836, Loss  1.187368, Average Loss  1.192092, Time  0.440447
2021-09-27 19:48:13.381774 : Epoch  9, Batch    837, Loss  1.193935, Average Loss  1.192164, Time  0.438458
2021-09-27 19:48:19.344248 : Epoch  9, Batch    838, Loss  1.167522, Average Loss  1.192090, Time  0.452897
2021-09-27 19:48:25.279315 : Epoch  9, Batch    839, Loss  1.197264, Average Loss  1.192192, Time  0.441359
2021-09-27 19:48:31.224317 : Epoch  9, Batch    840, Loss  1.189071, Average Loss  1.192118, Time  0.441035
2021-09-27 19:48:37.153664 : Epoch  9, Batch    841, Loss  1.185656, Average Loss  1.192084, Time  0.438738
2021-09-27 19:48:43.080158 : Epoch  9, Batch    842, Loss  1.205698, Average Loss  1.192155, Time  0.439600
2021-09-27 19:48:49.013232 : Epoch  9, Batch    843, Loss  1.183436, Average Loss  1.192109, Time  0.443257
2021-09-27 19:48:54.960400 : Epoch  9, Batch    844, Loss  1.206420, Average Loss  1.192188, Time  0.441231
2021-09-27 19:49:00.920067 : Epoch  9, Batch    845, Loss  1.196082, Average Loss  1.192162, Time  0.457555
2021-09-27 19:49:06.856773 : Epoch  9, Batch    846, Loss  1.192126, Average Loss  1.192175, Time  0.439275
2021-09-27 19:49:12.794116 : Epoch  9, Batch    847, Loss  1.181328, Average Loss  1.192137, Time  0.441130
2021-09-27 19:49:18.724138 : Epoch  9, Batch    848, Loss  1.209603, Average Loss  1.192254, Time  0.443123
2021-09-27 19:49:24.669835 : Epoch  9, Batch    849, Loss  1.208091, Average Loss  1.192344, Time  0.441409
2021-09-27 19:49:30.592662 : Epoch  9, Batch    850, Loss  1.198119, Average Loss  1.192408, Time  0.440065
2021-09-27 19:49:36.541942 : Epoch  9, Batch    851, Loss  1.194776, Average Loss  1.192424, Time  0.440064
2021-09-27 19:49:42.490326 : Epoch  9, Batch    852, Loss  1.196282, Average Loss  1.192400, Time  0.440703
2021-09-27 19:49:48.460992 : Epoch  9, Batch    853, Loss  1.176638, Average Loss  1.192314, Time  0.454208
2021-09-27 19:49:54.397840 : Epoch  9, Batch    854, Loss  1.205991, Average Loss  1.192354, Time  0.440518
2021-09-27 19:50:00.332104 : Epoch  9, Batch    855, Loss  1.194710, Average Loss  1.192330, Time  0.439314
2021-09-27 19:50:06.269775 : Epoch  9, Batch    856, Loss  1.193719, Average Loss  1.192274, Time  0.438794
2021-09-27 19:50:12.192825 : Epoch  9, Batch    857, Loss  1.200179, Average Loss  1.192305, Time  0.439169
2021-09-27 19:50:18.134497 : Epoch  9, Batch    858, Loss  1.179927, Average Loss  1.192284, Time  0.439740
2021-09-27 19:50:24.065797 : Epoch  9, Batch    859, Loss  1.220054, Average Loss  1.192390, Time  0.440018
2021-09-27 19:50:29.993659 : Epoch  9, Batch    860, Loss  1.198407, Average Loss  1.192451, Time  0.440848
2021-09-27 19:50:35.948188 : Epoch  9, Batch    861, Loss  1.198027, Average Loss  1.192424, Time  0.450065
2021-09-27 19:50:41.891424 : Epoch  9, Batch    862, Loss  1.201498, Average Loss  1.192407, Time  0.443809
2021-09-27 19:50:47.834988 : Epoch  9, Batch    863, Loss  1.177760, Average Loss  1.192355, Time  0.439754
2021-09-27 19:50:53.770156 : Epoch  9, Batch    864, Loss  1.186077, Average Loss  1.192315, Time  0.439917
2021-09-27 19:50:59.712878 : Epoch  9, Batch    865, Loss  1.184759, Average Loss  1.192165, Time  0.440015
2021-09-27 19:51:05.652791 : Epoch  9, Batch    866, Loss  1.182113, Average Loss  1.192154, Time  0.438550
2021-09-27 19:51:11.582495 : Epoch  9, Batch    867, Loss  1.212132, Average Loss  1.192147, Time  0.439005
2021-09-27 19:51:17.515854 : Epoch  9, Batch    868, Loss  1.198878, Average Loss  1.192214, Time  0.441236
2021-09-27 19:51:23.473902 : Epoch  9, Batch    869, Loss  1.201878, Average Loss  1.192162, Time  0.456872
2021-09-27 19:51:29.404112 : Epoch  9, Batch    870, Loss  1.193205, Average Loss  1.192133, Time  0.439861
2021-09-27 19:51:35.349189 : Epoch  9, Batch    871, Loss  1.189610, Average Loss  1.192123, Time  0.440903
2021-09-27 19:51:41.280065 : Epoch  9, Batch    872, Loss  1.196518, Average Loss  1.192172, Time  0.440678
2021-09-27 19:51:47.211401 : Epoch  9, Batch    873, Loss  1.197255, Average Loss  1.192223, Time  0.438237
2021-09-27 19:51:53.138203 : Epoch  9, Batch    874, Loss  1.186053, Average Loss  1.192152, Time  0.440571
2021-09-27 19:51:59.074621 : Epoch  9, Batch    875, Loss  1.193088, Average Loss  1.192237, Time  0.442786
2021-09-27 19:52:05.006719 : Epoch  9, Batch    876, Loss  1.190768, Average Loss  1.192262, Time  0.451662
2021-09-27 19:56:42.389520 : CheckPoint: Validation Loss  0.00020852, Best Loss  0.00020284
2021-09-27 19:56:48.276211 : Epoch  9, Batch    877, Loss  1.175989, Average Loss  1.192156, Time  0.440603
2021-09-27 19:56:54.160165 : Epoch  9, Batch    878, Loss  1.201405, Average Loss  1.192206, Time  0.442039
2021-09-27 19:57:00.050403 : Epoch  9, Batch    879, Loss  1.184606, Average Loss  1.192241, Time  0.438941
2021-09-27 19:57:05.931739 : Epoch  9, Batch    880, Loss  1.193371, Average Loss  1.192266, Time  0.439936
2021-09-27 19:57:11.831456 : Epoch  9, Batch    881, Loss  1.171105, Average Loss  1.192163, Time  0.439311
2021-09-27 19:57:17.728289 : Epoch  9, Batch    882, Loss  1.190590, Average Loss  1.192055, Time  0.442316
2021-09-27 19:57:23.612851 : Epoch  9, Batch    883, Loss  1.198880, Average Loss  1.192118, Time  0.440711
2021-09-27 19:57:29.517239 : Epoch  9, Batch    884, Loss  1.196615, Average Loss  1.192052, Time  0.453860
2021-09-27 19:57:35.408810 : Epoch  9, Batch    885, Loss  1.198436, Average Loss  1.192133, Time  0.440076
2021-09-27 19:57:41.304329 : Epoch  9, Batch    886, Loss  1.177690, Average Loss  1.192040, Time  0.439810
2021-09-27 19:57:47.198780 : Epoch  9, Batch    887, Loss  1.184665, Average Loss  1.192053, Time  0.440434
2021-09-27 19:57:53.096671 : Epoch  9, Batch    888, Loss  1.181115, Average Loss  1.192051, Time  0.444607
2021-09-27 19:57:58.987561 : Epoch  9, Batch    889, Loss  1.204085, Average Loss  1.192156, Time  0.439685
2021-09-27 19:58:04.872027 : Epoch  9, Batch    890, Loss  1.184708, Average Loss  1.192098, Time  0.440094
2021-09-27 19:58:10.776787 : Epoch  9, Batch    891, Loss  1.199280, Average Loss  1.192141, Time  0.444059
2021-09-27 19:58:16.670989 : Epoch  9, Batch    892, Loss  1.197460, Average Loss  1.192127, Time  0.451883
2021-09-27 19:58:22.581260 : Epoch  9, Batch    893, Loss  1.204282, Average Loss  1.192187, Time  0.444479
2021-09-27 19:58:28.480763 : Epoch  9, Batch    894, Loss  1.185315, Average Loss  1.192148, Time  0.439844
2021-09-27 19:58:34.372953 : Epoch  9, Batch    895, Loss  1.192625, Average Loss  1.192159, Time  0.438872
2021-09-27 19:58:40.268068 : Epoch  9, Batch    896, Loss  1.169191, Average Loss  1.192020, Time  0.438660
2021-09-27 19:58:46.168067 : Epoch  9, Batch    897, Loss  1.176384, Average Loss  1.191965, Time  0.439749
2021-09-27 19:58:52.061780 : Epoch  9, Batch    898, Loss  1.191279, Average Loss  1.191939, Time  0.438760
2021-09-27 19:58:57.951970 : Epoch  9, Batch    899, Loss  1.217211, Average Loss  1.192107, Time  0.439781
2021-09-27 19:59:03.896660 : Epoch  9, Batch    900, Loss  1.194227, Average Loss  1.192094, Time  0.456943
2021-09-27 19:59:09.796641 : Epoch  9, Batch    901, Loss  1.189319, Average Loss  1.192122, Time  0.442332
2021-09-27 19:59:15.686754 : Epoch  9, Batch    902, Loss  1.197357, Average Loss  1.192160, Time  0.439332
2021-09-27 19:59:21.574353 : Epoch  9, Batch    903, Loss  1.207237, Average Loss  1.192241, Time  0.442667
2021-09-27 19:59:27.483660 : Epoch  9, Batch    904, Loss  1.197093, Average Loss  1.192300, Time  0.441206
2021-09-27 19:59:33.376557 : Epoch  9, Batch    905, Loss  1.214245, Average Loss  1.192401, Time  0.438858
2021-09-27 19:59:39.266785 : Epoch  9, Batch    906, Loss  1.199015, Average Loss  1.192458, Time  0.440500
2021-09-27 19:59:45.151769 : Epoch  9, Batch    907, Loss  1.192682, Average Loss  1.192467, Time  0.440646
2021-09-27 19:59:51.060242 : Epoch  9, Batch    908, Loss  1.190316, Average Loss  1.192458, Time  0.455936
2021-09-27 19:59:56.956416 : Epoch  9, Batch    909, Loss  1.193197, Average Loss  1.192492, Time  0.442387
2021-09-27 20:00:02.850758 : Epoch  9, Batch    910, Loss  1.192326, Average Loss  1.192440, Time  0.439680
2021-09-27 20:00:08.747208 : Epoch  9, Batch    911, Loss  1.188264, Average Loss  1.192339, Time  0.438958
2021-09-27 20:00:14.643318 : Epoch  9, Batch    912, Loss  1.201666, Average Loss  1.192396, Time  0.443637
2021-09-27 20:00:20.542875 : Epoch  9, Batch    913, Loss  1.192432, Average Loss  1.192414, Time  0.440525
2021-09-27 20:00:26.442757 : Epoch  9, Batch    914, Loss  1.190370, Average Loss  1.192429, Time  0.444834
2021-09-27 20:00:32.329350 : Epoch  9, Batch    915, Loss  1.203146, Average Loss  1.192484, Time  0.440990
2021-09-27 20:00:38.225711 : Epoch  9, Batch    916, Loss  1.193928, Average Loss  1.192505, Time  0.451215
2021-09-27 20:00:44.108197 : Epoch  9, Batch    917, Loss  1.204458, Average Loss  1.192521, Time  0.439289
2021-09-27 20:00:49.991525 : Epoch  9, Batch    918, Loss  1.186326, Average Loss  1.192445, Time  0.438948
2021-09-27 20:00:55.896650 : Epoch  9, Batch    919, Loss  1.177662, Average Loss  1.192406, Time  0.441800
2021-09-27 20:01:01.795422 : Epoch  9, Batch    920, Loss  1.190206, Average Loss  1.192439, Time  0.439229
2021-09-27 20:01:07.685642 : Epoch  9, Batch    921, Loss  1.194817, Average Loss  1.192432, Time  0.441649
2021-09-27 20:01:13.577756 : Epoch  9, Batch    922, Loss  1.195013, Average Loss  1.192481, Time  0.439432
2021-09-27 20:01:19.487726 : Epoch  9, Batch    923, Loss  1.187270, Average Loss  1.192451, Time  0.439812
2021-09-27 20:01:25.391810 : Epoch  9, Batch    924, Loss  1.196449, Average Loss  1.192487, Time  0.451313
2021-09-27 20:01:31.283832 : Epoch  9, Batch    925, Loss  1.198318, Average Loss  1.192493, Time  0.440146
2021-09-27 20:01:37.184876 : Epoch  9, Batch    926, Loss  1.199230, Average Loss  1.192515, Time  0.442073
2021-09-27 20:01:43.090740 : Epoch  9, Batch    927, Loss  1.195161, Average Loss  1.192458, Time  0.440611
2021-09-27 20:01:48.991761 : Epoch  9, Batch    928, Loss  1.186272, Average Loss  1.192417, Time  0.440451
2021-09-27 20:01:49.028208 : Saving Model after 9-th Epoch.
2021-09-27 20:01:49.924090 : Epoch Finished.
2021-09-27 20:01:55.453653 : Batch Shuffled
2021-09-27 20:02:01.388789 : Epoch 10, Batch      1, Loss  1.193408, Average Loss  1.192412, Time  0.439937
2021-09-27 20:02:07.334976 : Epoch 10, Batch      2, Loss  1.189672, Average Loss  1.192381, Time  0.453789
2021-09-27 20:02:13.270876 : Epoch 10, Batch      3, Loss  1.179111, Average Loss  1.192297, Time  0.440912
2021-09-27 20:02:19.199881 : Epoch 10, Batch      4, Loss  1.194848, Average Loss  1.192300, Time  0.439838
2021-09-27 20:02:25.136289 : Epoch 10, Batch      5, Loss  1.192139, Average Loss  1.192280, Time  0.439636
2021-09-27 20:02:31.089397 : Epoch 10, Batch      6, Loss  1.187003, Average Loss  1.192266, Time  0.439979
2021-09-27 20:02:37.034065 : Epoch 10, Batch      7, Loss  1.203475, Average Loss  1.192370, Time  0.438822
2021-09-27 20:02:42.969122 : Epoch 10, Batch      8, Loss  1.197542, Average Loss  1.192400, Time  0.440789
2021-09-27 20:02:48.905453 : Epoch 10, Batch      9, Loss  1.205253, Average Loss  1.192476, Time  0.440929
2021-09-27 20:02:54.877973 : Epoch 10, Batch     10, Loss  1.200534, Average Loss  1.192505, Time  0.457186
2021-09-27 20:03:00.830714 : Epoch 10, Batch     11, Loss  1.192490, Average Loss  1.192537, Time  0.440480
2021-09-27 20:03:06.779627 : Epoch 10, Batch     12, Loss  1.185893, Average Loss  1.192462, Time  0.439337
2021-09-27 20:03:12.721428 : Epoch 10, Batch     13, Loss  1.214674, Average Loss  1.192609, Time  0.440001
2021-09-27 20:03:18.673968 : Epoch 10, Batch     14, Loss  1.194901, Average Loss  1.192649, Time  0.440610
2021-09-27 20:03:24.621750 : Epoch 10, Batch     15, Loss  1.195633, Average Loss  1.192623, Time  0.439661
2021-09-27 20:03:30.559643 : Epoch 10, Batch     16, Loss  1.190610, Average Loss  1.192586, Time  0.439758
2021-09-27 20:03:36.516873 : Epoch 10, Batch     17, Loss  1.173823, Average Loss  1.192517, Time  0.441612
2021-09-27 20:03:42.488691 : Epoch 10, Batch     18, Loss  1.193156, Average Loss  1.192524, Time  0.456041
2021-09-27 20:03:48.435184 : Epoch 10, Batch     19, Loss  1.200600, Average Loss  1.192582, Time  0.440182
2021-09-27 20:03:54.397376 : Epoch 10, Batch     20, Loss  1.201088, Average Loss  1.192677, Time  0.442090
2021-09-27 20:04:00.335801 : Epoch 10, Batch     21, Loss  1.194431, Average Loss  1.192655, Time  0.440066
2021-09-27 20:04:06.279324 : Epoch 10, Batch     22, Loss  1.192953, Average Loss  1.192576, Time  0.444448
2021-09-27 20:04:12.222845 : Epoch 10, Batch     23, Loss  1.211513, Average Loss  1.192700, Time  0.439608
2021-09-27 20:04:18.154610 : Epoch 10, Batch     24, Loss  1.187633, Average Loss  1.192618, Time  0.443764
2021-09-27 20:04:24.124798 : Epoch 10, Batch     25, Loss  1.195177, Average Loss  1.192544, Time  0.455213
2021-09-27 20:04:30.084350 : Epoch 10, Batch     26, Loss  1.191612, Average Loss  1.192546, Time  0.439305
2021-09-27 20:04:36.015446 : Epoch 10, Batch     27, Loss  1.178178, Average Loss  1.192525, Time  0.440411
2021-09-27 20:04:41.956869 : Epoch 10, Batch     28, Loss  1.194868, Average Loss  1.192565, Time  0.442356
2021-09-27 20:04:47.903911 : Epoch 10, Batch     29, Loss  1.194837, Average Loss  1.192522, Time  0.440679
2021-09-27 20:04:53.830782 : Epoch 10, Batch     30, Loss  1.196139, Average Loss  1.192564, Time  0.439255
2021-09-27 20:04:59.777098 : Epoch 10, Batch     31, Loss  1.181290, Average Loss  1.192487, Time  0.440552
2021-09-27 20:05:05.729643 : Epoch 10, Batch     32, Loss  1.203485, Average Loss  1.192526, Time  0.441838
2021-09-27 20:05:11.685503 : Epoch 10, Batch     33, Loss  1.198106, Average Loss  1.192573, Time  0.452504
2021-09-27 20:05:17.649739 : Epoch 10, Batch     34, Loss  1.184277, Average Loss  1.192524, Time  0.440650
2021-09-27 20:05:23.562167 : Epoch 10, Batch     35, Loss  1.186599, Average Loss  1.192464, Time  0.438668
2021-09-27 20:05:29.486619 : Epoch 10, Batch     36, Loss  1.193761, Average Loss  1.192498, Time  0.442893
2021-09-27 20:05:35.436178 : Epoch 10, Batch     37, Loss  1.182896, Average Loss  1.192401, Time  0.440346
2021-09-27 20:05:41.407675 : Epoch 10, Batch     38, Loss  1.181177, Average Loss  1.192406, Time  0.440243
2021-09-27 20:05:47.362079 : Epoch 10, Batch     39, Loss  1.187461, Average Loss  1.192384, Time  0.441526
2021-09-27 20:05:53.333592 : Epoch 10, Batch     40, Loss  1.184149, Average Loss  1.192312, Time  0.439668
2021-09-27 20:05:59.277479 : Epoch 10, Batch     41, Loss  1.186037, Average Loss  1.192255, Time  0.453884
2021-09-27 20:06:05.232817 : Epoch 10, Batch     42, Loss  1.192798, Average Loss  1.192268, Time  0.442349
2021-09-27 20:06:11.170485 : Epoch 10, Batch     43, Loss  1.188843, Average Loss  1.192276, Time  0.442665
2021-09-27 20:06:17.118417 : Epoch 10, Batch     44, Loss  1.175329, Average Loss  1.192186, Time  0.443091
2021-09-27 20:06:23.085247 : Epoch 10, Batch     45, Loss  1.185199, Average Loss  1.192122, Time  0.441667
2021-09-27 20:06:29.047844 : Epoch 10, Batch     46, Loss  1.181404, Average Loss  1.192061, Time  0.440226
2021-09-27 20:06:34.982283 : Epoch 10, Batch     47, Loss  1.191761, Average Loss  1.192114, Time  0.441092
2021-09-27 20:06:40.941845 : Epoch 10, Batch     48, Loss  1.197192, Average Loss  1.192148, Time  0.444263
2021-09-27 20:11:19.198162 : CheckPoint: Validation Loss  0.00020430, Best Loss  0.00020284
2021-09-27 20:11:25.129926 : Epoch 10, Batch     49, Loss  1.179661, Average Loss  1.192137, Time  0.457553
2021-09-27 20:11:31.087858 : Epoch 10, Batch     50, Loss  1.193043, Average Loss  1.192116, Time  0.442434
2021-09-27 20:11:37.041866 : Epoch 10, Batch     51, Loss  1.203920, Average Loss  1.192235, Time  0.441400
2021-09-27 20:11:42.990888 : Epoch 10, Batch     52, Loss  1.183972, Average Loss  1.192236, Time  0.442916
2021-09-27 20:11:48.944149 : Epoch 10, Batch     53, Loss  1.201114, Average Loss  1.192254, Time  0.445993
2021-09-27 20:11:54.867981 : Epoch 10, Batch     54, Loss  1.197979, Average Loss  1.192271, Time  0.441055
2021-09-27 20:12:00.794558 : Epoch 10, Batch     55, Loss  1.196306, Average Loss  1.192337, Time  0.441494
2021-09-27 20:12:06.748017 : Epoch 10, Batch     56, Loss  1.191004, Average Loss  1.192321, Time  0.439450
2021-09-27 20:12:12.672664 : Epoch 10, Batch     57, Loss  1.198502, Average Loss  1.192365, Time  0.452164
2021-09-27 20:12:18.609666 : Epoch 10, Batch     58, Loss  1.214802, Average Loss  1.192498, Time  0.440176
2021-09-27 20:12:24.553188 : Epoch 10, Batch     59, Loss  1.189715, Average Loss  1.192493, Time  0.442400
2021-09-27 20:12:30.466449 : Epoch 10, Batch     60, Loss  1.179642, Average Loss  1.192434, Time  0.440573
2021-09-27 20:12:36.413849 : Epoch 10, Batch     61, Loss  1.211128, Average Loss  1.192560, Time  0.441901
2021-09-27 20:12:42.359877 : Epoch 10, Batch     62, Loss  1.193254, Average Loss  1.192473, Time  0.445109
2021-09-27 20:12:48.313825 : Epoch 10, Batch     63, Loss  1.182654, Average Loss  1.192436, Time  0.442125
2021-09-27 20:12:54.267785 : Epoch 10, Batch     64, Loss  1.205661, Average Loss  1.192488, Time  0.443254
2021-09-27 20:13:00.232727 : Epoch 10, Batch     65, Loss  1.194226, Average Loss  1.192492, Time  0.460364
2021-09-27 20:13:06.193920 : Epoch 10, Batch     66, Loss  1.193330, Average Loss  1.192468, Time  0.445129
2021-09-27 20:13:12.146625 : Epoch 10, Batch     67, Loss  1.195503, Average Loss  1.192469, Time  0.440772
2021-09-27 20:13:18.092138 : Epoch 10, Batch     68, Loss  1.183497, Average Loss  1.192460, Time  0.442715
2021-09-27 20:13:24.032422 : Epoch 10, Batch     69, Loss  1.187580, Average Loss  1.192482, Time  0.443798
2021-09-27 20:13:29.976821 : Epoch 10, Batch     70, Loss  1.192306, Average Loss  1.192481, Time  0.439832
2021-09-27 20:13:35.948873 : Epoch 10, Batch     71, Loss  1.187039, Average Loss  1.192389, Time  0.440860
2021-09-27 20:13:41.906722 : Epoch 10, Batch     72, Loss  1.189206, Average Loss  1.192338, Time  0.442951
2021-09-27 20:13:47.856348 : Epoch 10, Batch     73, Loss  1.192913, Average Loss  1.192370, Time  0.453589
2021-09-27 20:13:53.797236 : Epoch 10, Batch     74, Loss  1.182463, Average Loss  1.192376, Time  0.439689
2021-09-27 20:13:59.749924 : Epoch 10, Batch     75, Loss  1.190552, Average Loss  1.192418, Time  0.440584
2021-09-27 20:14:05.674729 : Epoch 10, Batch     76, Loss  1.185712, Average Loss  1.192387, Time  0.441635
2021-09-27 20:14:11.617616 : Epoch 10, Batch     77, Loss  1.184502, Average Loss  1.192439, Time  0.439841
2021-09-27 20:14:17.556401 : Epoch 10, Batch     78, Loss  1.189215, Average Loss  1.192474, Time  0.442101
2021-09-27 20:14:23.518907 : Epoch 10, Batch     79, Loss  1.194155, Average Loss  1.192499, Time  0.442545
2021-09-27 20:14:29.484861 : Epoch 10, Batch     80, Loss  1.206683, Average Loss  1.192605, Time  0.440176
2021-09-27 20:14:35.467919 : Epoch 10, Batch     81, Loss  1.199225, Average Loss  1.192628, Time  0.463301
2021-09-27 20:14:41.429772 : Epoch 10, Batch     82, Loss  1.184673, Average Loss  1.192637, Time  0.439901
2021-09-27 20:14:47.378725 : Epoch 10, Batch     83, Loss  1.185030, Average Loss  1.192624, Time  0.439705
2021-09-27 20:14:53.330312 : Epoch 10, Batch     84, Loss  1.195367, Average Loss  1.192635, Time  0.444337
2021-09-27 20:14:59.266467 : Epoch 10, Batch     85, Loss  1.192350, Average Loss  1.192648, Time  0.439605
2021-09-27 20:15:05.212697 : Epoch 10, Batch     86, Loss  1.180465, Average Loss  1.192634, Time  0.440170
2021-09-27 20:15:11.157728 : Epoch 10, Batch     87, Loss  1.183198, Average Loss  1.192559, Time  0.440674
2021-09-27 20:15:17.122494 : Epoch 10, Batch     88, Loss  1.185571, Average Loss  1.192533, Time  0.456069
2021-09-27 20:15:23.086847 : Epoch 10, Batch     89, Loss  1.184761, Average Loss  1.192451, Time  0.442691
2021-09-27 20:15:29.007063 : Epoch 10, Batch     90, Loss  1.192081, Average Loss  1.192444, Time  0.440689
2021-09-27 20:15:34.932149 : Epoch 10, Batch     91, Loss  1.188635, Average Loss  1.192400, Time  0.440632
2021-09-27 20:15:40.883054 : Epoch 10, Batch     92, Loss  1.197615, Average Loss  1.192485, Time  0.440073
2021-09-27 20:15:46.799504 : Epoch 10, Batch     93, Loss  1.183624, Average Loss  1.192473, Time  0.440135
2021-09-27 20:15:52.724650 : Epoch 10, Batch     94, Loss  1.195699, Average Loss  1.192494, Time  0.442289
2021-09-27 20:15:58.688369 : Epoch 10, Batch     95, Loss  1.204085, Average Loss  1.192612, Time  0.439606
2021-09-27 20:16:04.624630 : Epoch 10, Batch     96, Loss  1.187347, Average Loss  1.192580, Time  0.448969
2021-09-27 20:16:10.564180 : Epoch 10, Batch     97, Loss  1.190980, Average Loss  1.192540, Time  0.440170
2021-09-27 20:16:16.488690 : Epoch 10, Batch     98, Loss  1.196126, Average Loss  1.192601, Time  0.439521
2021-09-27 20:16:22.409222 : Epoch 10, Batch     99, Loss  1.202412, Average Loss  1.192685, Time  0.439637
2021-09-27 20:16:28.342913 : Epoch 10, Batch    100, Loss  1.178365, Average Loss  1.192633, Time  0.444318
2021-09-27 20:16:34.316822 : Epoch 10, Batch    101, Loss  1.182205, Average Loss  1.192549, Time  0.439641
2021-09-27 20:16:40.247476 : Epoch 10, Batch    102, Loss  1.192083, Average Loss  1.192511, Time  0.440210
2021-09-27 20:16:46.185245 : Epoch 10, Batch    103, Loss  1.190802, Average Loss  1.192508, Time  0.442614
2021-09-27 20:16:52.127436 : Epoch 10, Batch    104, Loss  1.200035, Average Loss  1.192486, Time  0.458065
2021-09-27 20:16:58.139840 : Epoch 10, Batch    105, Loss  1.191117, Average Loss  1.192483, Time  0.442487
2021-09-27 20:17:04.074812 : Epoch 10, Batch    106, Loss  1.213840, Average Loss  1.192616, Time  0.441497
2021-09-27 20:17:10.017915 : Epoch 10, Batch    107, Loss  1.218851, Average Loss  1.192745, Time  0.441939
2021-09-27 20:17:15.964679 : Epoch 10, Batch    108, Loss  1.190518, Average Loss  1.192761, Time  0.439559
2021-09-27 20:17:21.883747 : Epoch 10, Batch    109, Loss  1.189276, Average Loss  1.192738, Time  0.441826
2021-09-27 20:17:27.838858 : Epoch 10, Batch    110, Loss  1.195234, Average Loss  1.192876, Time  0.440670
2021-09-27 20:17:33.776397 : Epoch 10, Batch    111, Loss  1.182939, Average Loss  1.192805, Time  0.440827
2021-09-27 20:17:39.740483 : Epoch 10, Batch    112, Loss  1.186690, Average Loss  1.192793, Time  0.453160
2021-09-27 20:17:45.680897 : Epoch 10, Batch    113, Loss  1.201707, Average Loss  1.192873, Time  0.440548
2021-09-27 20:17:51.616393 : Epoch 10, Batch    114, Loss  1.188821, Average Loss  1.192789, Time  0.441418
2021-09-27 20:17:57.567373 : Epoch 10, Batch    115, Loss  1.192648, Average Loss  1.192835, Time  0.440533
2021-09-27 20:18:03.507398 : Epoch 10, Batch    116, Loss  1.194252, Average Loss  1.192774, Time  0.442069
2021-09-27 20:18:09.423952 : Epoch 10, Batch    117, Loss  1.195434, Average Loss  1.192771, Time  0.439120
2021-09-27 20:18:15.362541 : Epoch 10, Batch    118, Loss  1.193454, Average Loss  1.192777, Time  0.440776
2021-09-27 20:18:21.377863 : Epoch 10, Batch    119, Loss  1.202864, Average Loss  1.192885, Time  0.440480
2021-09-27 20:18:27.331417 : Epoch 10, Batch    120, Loss  1.188252, Average Loss  1.192778, Time  0.450472
2021-09-27 20:18:33.265890 : Epoch 10, Batch    121, Loss  1.198028, Average Loss  1.192728, Time  0.440608
2021-09-27 20:18:39.216697 : Epoch 10, Batch    122, Loss  1.195400, Average Loss  1.192714, Time  0.441112
2021-09-27 20:18:45.171338 : Epoch 10, Batch    123, Loss  1.179491, Average Loss  1.192638, Time  0.442916
2021-09-27 20:18:51.104868 : Epoch 10, Batch    124, Loss  1.200941, Average Loss  1.192661, Time  0.441555
2021-09-27 20:18:57.049103 : Epoch 10, Batch    125, Loss  1.173960, Average Loss  1.192648, Time  0.440504
2021-09-27 20:19:02.994421 : Epoch 10, Batch    126, Loss  1.199288, Average Loss  1.192614, Time  0.441603
2021-09-27 20:19:08.941850 : Epoch 10, Batch    127, Loss  1.208539, Average Loss  1.192683, Time  0.439962
2021-09-27 20:19:14.883739 : Epoch 10, Batch    128, Loss  1.205620, Average Loss  1.192743, Time  0.453628
2021-09-27 20:19:20.837002 : Epoch 10, Batch    129, Loss  1.192719, Average Loss  1.192706, Time  0.440855
2021-09-27 20:19:26.798765 : Epoch 10, Batch    130, Loss  1.192915, Average Loss  1.192770, Time  0.440748
2021-09-27 20:19:32.739860 : Epoch 10, Batch    131, Loss  1.200139, Average Loss  1.192671, Time  0.441069
2021-09-27 20:19:38.699880 : Epoch 10, Batch    132, Loss  1.194009, Average Loss  1.192649, Time  0.442081
2021-09-27 20:19:44.619739 : Epoch 10, Batch    133, Loss  1.194112, Average Loss  1.192629, Time  0.440225
2021-09-27 20:19:50.566181 : Epoch 10, Batch    134, Loss  1.179545, Average Loss  1.192520, Time  0.443201
2021-09-27 20:19:56.491828 : Epoch 10, Batch    135, Loss  1.170647, Average Loss  1.192484, Time  0.441875
2021-09-27 20:20:02.408664 : Epoch 10, Batch    136, Loss  1.206029, Average Loss  1.192584, Time  0.449705
2021-09-27 20:20:08.349970 : Epoch 10, Batch    137, Loss  1.197400, Average Loss  1.192647, Time  0.439890
2021-09-27 20:20:14.273866 : Epoch 10, Batch    138, Loss  1.192374, Average Loss  1.192698, Time  0.439833
2021-09-27 20:20:20.184754 : Epoch 10, Batch    139, Loss  1.193470, Average Loss  1.192605, Time  0.438368
2021-09-27 20:20:26.092886 : Epoch 10, Batch    140, Loss  1.198226, Average Loss  1.192602, Time  0.439117
2021-09-27 20:20:32.006873 : Epoch 10, Batch    141, Loss  1.197792, Average Loss  1.192581, Time  0.439239
2021-09-27 20:20:37.944788 : Epoch 10, Batch    142, Loss  1.194000, Average Loss  1.192585, Time  0.443116
2021-09-27 20:20:43.878824 : Epoch 10, Batch    143, Loss  1.182483, Average Loss  1.192550, Time  0.440464
2021-09-27 20:20:49.839640 : Epoch 10, Batch    144, Loss  1.185144, Average Loss  1.192493, Time  0.454494
2021-09-27 20:20:55.757830 : Epoch 10, Batch    145, Loss  1.187920, Average Loss  1.192446, Time  0.439490
2021-09-27 20:21:01.724740 : Epoch 10, Batch    146, Loss  1.198708, Average Loss  1.192509, Time  0.441390
2021-09-27 20:21:07.646144 : Epoch 10, Batch    147, Loss  1.193283, Average Loss  1.192510, Time  0.443309
2021-09-27 20:21:13.597535 : Epoch 10, Batch    148, Loss  1.194857, Average Loss  1.192531, Time  0.441140
2021-09-27 20:25:52.137168 : CheckPoint: Validation Loss  0.00020955, Best Loss  0.00020284
2021-09-27 20:25:58.058874 : Epoch 10, Batch    149, Loss  1.187519, Average Loss  1.192588, Time  0.439524
2021-09-27 20:26:03.981019 : Epoch 10, Batch    150, Loss  1.205602, Average Loss  1.192609, Time  0.439550
2021-09-27 20:26:09.925047 : Epoch 10, Batch    151, Loss  1.188638, Average Loss  1.192630, Time  0.449644
2021-09-27 20:26:15.881933 : Epoch 10, Batch    152, Loss  1.197540, Average Loss  1.192650, Time  0.441345
2021-09-27 20:26:21.815241 : Epoch 10, Batch    153, Loss  1.181324, Average Loss  1.192702, Time  0.440225
2021-09-27 20:26:27.748109 : Epoch 10, Batch    154, Loss  1.190773, Average Loss  1.192702, Time  0.440865
2021-09-27 20:26:33.696475 : Epoch 10, Batch    155, Loss  1.208959, Average Loss  1.192753, Time  0.442569
2021-09-27 20:26:39.633071 : Epoch 10, Batch    156, Loss  1.203863, Average Loss  1.192789, Time  0.440218
2021-09-27 20:26:45.559710 : Epoch 10, Batch    157, Loss  1.193480, Average Loss  1.192764, Time  0.440127
2021-09-27 20:26:51.479006 : Epoch 10, Batch    158, Loss  1.189501, Average Loss  1.192823, Time  0.441445
2021-09-27 20:26:57.442130 : Epoch 10, Batch    159, Loss  1.198298, Average Loss  1.192892, Time  0.454156
2021-09-27 20:27:03.370943 : Epoch 10, Batch    160, Loss  1.183232, Average Loss  1.192902, Time  0.441716
2021-09-27 20:27:09.322441 : Epoch 10, Batch    161, Loss  1.176607, Average Loss  1.192765, Time  0.439111
2021-09-27 20:27:15.267117 : Epoch 10, Batch    162, Loss  1.198737, Average Loss  1.192835, Time  0.439087
2021-09-27 20:27:21.223418 : Epoch 10, Batch    163, Loss  1.190198, Average Loss  1.192789, Time  0.440017
2021-09-27 20:27:27.161842 : Epoch 10, Batch    164, Loss  1.168882, Average Loss  1.192647, Time  0.440707
2021-09-27 20:27:33.091862 : Epoch 10, Batch    165, Loss  1.198802, Average Loss  1.192619, Time  0.441453
2021-09-27 20:27:39.051845 : Epoch 10, Batch    166, Loss  1.186961, Average Loss  1.192627, Time  0.467518
2021-09-27 20:27:45.019577 : Epoch 10, Batch    167, Loss  1.218875, Average Loss  1.192759, Time  0.439083
2021-09-27 20:27:50.955769 : Epoch 10, Batch    168, Loss  1.193147, Average Loss  1.192878, Time  0.440690
2021-09-27 20:27:56.882393 : Epoch 10, Batch    169, Loss  1.196073, Average Loss  1.192977, Time  0.440006
2021-09-27 20:28:02.830305 : Epoch 10, Batch    170, Loss  1.207423, Average Loss  1.193058, Time  0.440667
2021-09-27 20:28:08.776174 : Epoch 10, Batch    171, Loss  1.194483, Average Loss  1.192944, Time  0.441219
2021-09-27 20:28:14.725655 : Epoch 10, Batch    172, Loss  1.190450, Average Loss  1.192925, Time  0.442018
2021-09-27 20:28:20.658820 : Epoch 10, Batch    173, Loss  1.196560, Average Loss  1.192961, Time  0.440996
2021-09-27 20:28:26.592998 : Epoch 10, Batch    174, Loss  1.185706, Average Loss  1.192903, Time  0.449861
2021-09-27 20:28:32.501805 : Epoch 10, Batch    175, Loss  1.175153, Average Loss  1.192743, Time  0.439434
2021-09-27 20:28:38.440466 : Epoch 10, Batch    176, Loss  1.192276, Average Loss  1.192719, Time  0.438932
2021-09-27 20:28:44.355907 : Epoch 10, Batch    177, Loss  1.178186, Average Loss  1.192538, Time  0.440315
2021-09-27 20:28:50.290193 : Epoch 10, Batch    178, Loss  1.215451, Average Loss  1.192620, Time  0.440061
2021-09-27 20:28:56.206097 : Epoch 10, Batch    179, Loss  1.196099, Average Loss  1.192637, Time  0.439123
2021-09-27 20:29:02.120373 : Epoch 10, Batch    180, Loss  1.206465, Average Loss  1.192718, Time  0.439382
2021-09-27 20:29:08.050225 : Epoch 10, Batch    181, Loss  1.215713, Average Loss  1.192831, Time  0.439443
2021-09-27 20:29:13.987536 : Epoch 10, Batch    182, Loss  1.203244, Average Loss  1.192885, Time  0.454155
2021-09-27 20:29:19.897068 : Epoch 10, Batch    183, Loss  1.199902, Average Loss  1.192944, Time  0.439479
2021-09-27 20:29:25.818055 : Epoch 10, Batch    184, Loss  1.195368, Average Loss  1.192912, Time  0.439502
2021-09-27 20:29:31.745906 : Epoch 10, Batch    185, Loss  1.176790, Average Loss  1.192834, Time  0.439580
2021-09-27 20:29:37.672183 : Epoch 10, Batch    186, Loss  1.176180, Average Loss  1.192763, Time  0.440485
2021-09-27 20:29:43.604289 : Epoch 10, Batch    187, Loss  1.191471, Average Loss  1.192705, Time  0.439459
2021-09-27 20:29:49.517561 : Epoch 10, Batch    188, Loss  1.203200, Average Loss  1.192751, Time  0.440151
2021-09-27 20:29:55.420822 : Epoch 10, Batch    189, Loss  1.203293, Average Loss  1.192745, Time  0.439288
2021-09-27 20:30:01.355561 : Epoch 10, Batch    190, Loss  1.193578, Average Loss  1.192781, Time  0.452422
2021-09-27 20:30:07.271694 : Epoch 10, Batch    191, Loss  1.190176, Average Loss  1.192844, Time  0.439752
2021-09-27 20:30:13.207525 : Epoch 10, Batch    192, Loss  1.194547, Average Loss  1.192866, Time  0.439516
2021-09-27 20:30:19.128496 : Epoch 10, Batch    193, Loss  1.200878, Average Loss  1.192896, Time  0.439288
2021-09-27 20:30:25.043731 : Epoch 10, Batch    194, Loss  1.196191, Average Loss  1.192902, Time  0.441163
2021-09-27 20:30:30.980807 : Epoch 10, Batch    195, Loss  1.200390, Average Loss  1.192967, Time  0.440654
2021-09-27 20:30:36.887739 : Epoch 10, Batch    196, Loss  1.187721, Average Loss  1.192924, Time  0.442746
2021-09-27 20:30:42.799463 : Epoch 10, Batch    197, Loss  1.174728, Average Loss  1.192806, Time  0.440077
2021-09-27 20:30:48.736164 : Epoch 10, Batch    198, Loss  1.206478, Average Loss  1.192842, Time  0.457978
2021-09-27 20:30:54.648730 : Epoch 10, Batch    199, Loss  1.192370, Average Loss  1.192828, Time  0.439343
2021-09-27 20:31:00.566559 : Epoch 10, Batch    200, Loss  1.193948, Average Loss  1.192866, Time  0.439790
2021-09-27 20:31:06.487219 : Epoch 10, Batch    201, Loss  1.160326, Average Loss  1.192701, Time  0.442558
2021-09-27 20:31:12.413806 : Epoch 10, Batch    202, Loss  1.185161, Average Loss  1.192679, Time  0.439234
2021-09-27 20:31:18.355044 : Epoch 10, Batch    203, Loss  1.184100, Average Loss  1.192703, Time  0.440031
2021-09-27 20:31:24.265383 : Epoch 10, Batch    204, Loss  1.193415, Average Loss  1.192696, Time  0.439755
2021-09-27 20:31:30.191795 : Epoch 10, Batch    205, Loss  1.195397, Average Loss  1.192713, Time  0.439901
2021-09-27 20:31:36.186787 : Epoch 10, Batch    206, Loss  1.187526, Average Loss  1.192715, Time  0.455905
2021-09-27 20:31:42.121403 : Epoch 10, Batch    207, Loss  1.196600, Average Loss  1.192681, Time  0.439263
2021-09-27 20:31:48.064685 : Epoch 10, Batch    208, Loss  1.180270, Average Loss  1.192594, Time  0.439791
2021-09-27 20:31:54.004073 : Epoch 10, Batch    209, Loss  1.195187, Average Loss  1.192544, Time  0.440402
2021-09-27 20:31:59.918968 : Epoch 10, Batch    210, Loss  1.180544, Average Loss  1.192444, Time  0.441316
2021-09-27 20:32:05.848533 : Epoch 10, Batch    211, Loss  1.202859, Average Loss  1.192496, Time  0.441365
2021-09-27 20:32:11.753210 : Epoch 10, Batch    212, Loss  1.189945, Average Loss  1.192516, Time  0.439369
2021-09-27 20:32:17.666640 : Epoch 10, Batch    213, Loss  1.181257, Average Loss  1.192349, Time  0.441435
2021-09-27 20:32:23.607159 : Epoch 10, Batch    214, Loss  1.194581, Average Loss  1.192348, Time  0.444813
2021-09-27 20:32:29.535924 : Epoch 10, Batch    215, Loss  1.205511, Average Loss  1.192397, Time  0.443229
2021-09-27 20:32:35.464737 : Epoch 10, Batch    216, Loss  1.200160, Average Loss  1.192445, Time  0.443727
2021-09-27 20:32:41.377779 : Epoch 10, Batch    217, Loss  1.192933, Average Loss  1.192540, Time  0.441524
2021-09-27 20:32:47.297113 : Epoch 10, Batch    218, Loss  1.175572, Average Loss  1.192452, Time  0.439398
2021-09-27 20:32:53.233832 : Epoch 10, Batch    219, Loss  1.191528, Average Loss  1.192407, Time  0.439086
2021-09-27 20:32:59.143779 : Epoch 10, Batch    220, Loss  1.204218, Average Loss  1.192423, Time  0.441564
2021-09-27 20:33:05.072218 : Epoch 10, Batch    221, Loss  1.198729, Average Loss  1.192444, Time  0.455788
2021-09-27 20:33:11.006808 : Epoch 10, Batch    222, Loss  1.199387, Average Loss  1.192476, Time  0.438636
2021-09-27 20:33:16.906695 : Epoch 10, Batch    223, Loss  1.209616, Average Loss  1.192467, Time  0.439430
2021-09-27 20:33:22.808217 : Epoch 10, Batch    224, Loss  1.209035, Average Loss  1.192574, Time  0.439756
2021-09-27 20:33:28.757204 : Epoch 10, Batch    225, Loss  1.191132, Average Loss  1.192554, Time  0.441489
2021-09-27 20:33:34.695221 : Epoch 10, Batch    226, Loss  1.205559, Average Loss  1.192623, Time  0.439770
2021-09-27 20:33:40.631828 : Epoch 10, Batch    227, Loss  1.203220, Average Loss  1.192749, Time  0.442353
2021-09-27 20:33:46.560474 : Epoch 10, Batch    228, Loss  1.184415, Average Loss  1.192696, Time  0.439507
2021-09-27 20:33:52.486164 : Epoch 10, Batch    229, Loss  1.191690, Average Loss  1.192681, Time  0.449028
2021-09-27 20:33:58.414938 : Epoch 10, Batch    230, Loss  1.183769, Average Loss  1.192619, Time  0.439205
2021-09-27 20:34:04.361698 : Epoch 10, Batch    231, Loss  1.197780, Average Loss  1.192701, Time  0.438491
2021-09-27 20:34:10.297838 : Epoch 10, Batch    232, Loss  1.180940, Average Loss  1.192588, Time  0.440758
2021-09-27 20:34:16.223206 : Epoch 10, Batch    233, Loss  1.199853, Average Loss  1.192597, Time  0.441918
2021-09-27 20:34:22.159118 : Epoch 10, Batch    234, Loss  1.207890, Average Loss  1.192715, Time  0.439966
2021-09-27 20:34:28.093124 : Epoch 10, Batch    235, Loss  1.192160, Average Loss  1.192743, Time  0.439580
2021-09-27 20:34:34.016917 : Epoch 10, Batch    236, Loss  1.210649, Average Loss  1.192827, Time  0.440211
2021-09-27 20:34:39.954769 : Epoch 10, Batch    237, Loss  1.187213, Average Loss  1.192849, Time  0.449137
2021-09-27 20:34:45.884667 : Epoch 10, Batch    238, Loss  1.182113, Average Loss  1.192854, Time  0.442163
2021-09-27 20:34:51.795497 : Epoch 10, Batch    239, Loss  1.196948, Average Loss  1.192901, Time  0.439993
2021-09-27 20:34:57.713472 : Epoch 10, Batch    240, Loss  1.189242, Average Loss  1.192927, Time  0.444469
2021-09-27 20:35:03.637252 : Epoch 10, Batch    241, Loss  1.200279, Average Loss  1.192998, Time  0.440560
2021-09-27 20:35:09.539733 : Epoch 10, Batch    242, Loss  1.179602, Average Loss  1.192932, Time  0.439416
2021-09-27 20:35:15.467878 : Epoch 10, Batch    243, Loss  1.192596, Average Loss  1.192951, Time  0.439751
2021-09-27 20:35:21.387758 : Epoch 10, Batch    244, Loss  1.198118, Average Loss  1.193065, Time  0.440125
2021-09-27 20:35:27.328757 : Epoch 10, Batch    245, Loss  1.186583, Average Loss  1.193071, Time  0.454901
2021-09-27 20:35:33.263051 : Epoch 10, Batch    246, Loss  1.190646, Average Loss  1.193118, Time  0.441567
2021-09-27 20:35:39.184806 : Epoch 10, Batch    247, Loss  1.190104, Average Loss  1.193109, Time  0.441209
2021-09-27 20:35:45.101369 : Epoch 10, Batch    248, Loss  1.194639, Average Loss  1.193097, Time  0.439576
2021-09-27 20:40:21.221506 : CheckPoint: Validation Loss  0.00020832, Best Loss  0.00020284
2021-09-27 20:40:27.129502 : Epoch 10, Batch    249, Loss  1.207720, Average Loss  1.193237, Time  0.442548
2021-09-27 20:40:33.063654 : Epoch 10, Batch    250, Loss  1.186669, Average Loss  1.193205, Time  0.443720
2021-09-27 20:40:39.019042 : Epoch 10, Batch    251, Loss  1.195096, Average Loss  1.193161, Time  0.439507
2021-09-27 20:40:44.939734 : Epoch 10, Batch    252, Loss  1.185745, Average Loss  1.193170, Time  0.440123
2021-09-27 20:40:50.885533 : Epoch 10, Batch    253, Loss  1.208745, Average Loss  1.193208, Time  0.453330
2021-09-27 20:40:56.834160 : Epoch 10, Batch    254, Loss  1.178339, Average Loss  1.193110, Time  0.439849
2021-09-27 20:41:02.756145 : Epoch 10, Batch    255, Loss  1.186092, Average Loss  1.193059, Time  0.440811
2021-09-27 20:41:08.699813 : Epoch 10, Batch    256, Loss  1.186985, Average Loss  1.193039, Time  0.441468
2021-09-27 20:41:14.617726 : Epoch 10, Batch    257, Loss  1.181661, Average Loss  1.192954, Time  0.441781
2021-09-27 20:41:20.571837 : Epoch 10, Batch    258, Loss  1.186998, Average Loss  1.192815, Time  0.439953
2021-09-27 20:41:26.508821 : Epoch 10, Batch    259, Loss  1.193745, Average Loss  1.192836, Time  0.441301
2021-09-27 20:41:32.444214 : Epoch 10, Batch    260, Loss  1.201741, Average Loss  1.192946, Time  0.441188
2021-09-27 20:41:38.408222 : Epoch 10, Batch    261, Loss  1.181032, Average Loss  1.192796, Time  0.450288
2021-09-27 20:41:44.351308 : Epoch 10, Batch    262, Loss  1.182932, Average Loss  1.192744, Time  0.439547
2021-09-27 20:41:50.289912 : Epoch 10, Batch    263, Loss  1.205020, Average Loss  1.192856, Time  0.438601
2021-09-27 20:41:56.217900 : Epoch 10, Batch    264, Loss  1.172013, Average Loss  1.192688, Time  0.438892
2021-09-27 20:42:02.155815 : Epoch 10, Batch    265, Loss  1.192805, Average Loss  1.192680, Time  0.444265
2021-09-27 20:42:08.090324 : Epoch 10, Batch    266, Loss  1.187484, Average Loss  1.192651, Time  0.439220
2021-09-27 20:42:14.027323 : Epoch 10, Batch    267, Loss  1.192970, Average Loss  1.192639, Time  0.439827
2021-09-27 20:42:19.952204 : Epoch 10, Batch    268, Loss  1.189775, Average Loss  1.192670, Time  0.439930
2021-09-27 20:42:25.906800 : Epoch 10, Batch    269, Loss  1.198800, Average Loss  1.192726, Time  0.446168
2021-09-27 20:42:31.853629 : Epoch 10, Batch    270, Loss  1.202791, Average Loss  1.192778, Time  0.439142
2021-09-27 20:42:37.778931 : Epoch 10, Batch    271, Loss  1.201299, Average Loss  1.192850, Time  0.439841
2021-09-27 20:42:43.748930 : Epoch 10, Batch    272, Loss  1.189525, Average Loss  1.192851, Time  0.439502
2021-09-27 20:42:49.672800 : Epoch 10, Batch    273, Loss  1.181947, Average Loss  1.192797, Time  0.440177
2021-09-27 20:42:55.610610 : Epoch 10, Batch    274, Loss  1.207271, Average Loss  1.192921, Time  0.441599
2021-09-27 20:43:01.583250 : Epoch 10, Batch    275, Loss  1.193557, Average Loss  1.192936, Time  0.440264
2021-09-27 20:43:07.535078 : Epoch 10, Batch    276, Loss  1.196256, Average Loss  1.192988, Time  0.445156
2021-09-27 20:43:13.493944 : Epoch 10, Batch    277, Loss  1.191540, Average Loss  1.193024, Time  0.452277
2021-09-27 20:43:19.437783 : Epoch 10, Batch    278, Loss  1.195734, Average Loss  1.193056, Time  0.440194
2021-09-27 20:43:25.392535 : Epoch 10, Batch    279, Loss  1.205462, Average Loss  1.193113, Time  0.441327
2021-09-27 20:43:31.322778 : Epoch 10, Batch    280, Loss  1.188924, Average Loss  1.193024, Time  0.443737
2021-09-27 20:43:37.282163 : Epoch 10, Batch    281, Loss  1.193286, Average Loss  1.192994, Time  0.442106
2021-09-27 20:43:43.239357 : Epoch 10, Batch    282, Loss  1.187691, Average Loss  1.193009, Time  0.441735
2021-09-27 20:43:49.184889 : Epoch 10, Batch    283, Loss  1.190351, Average Loss  1.193036, Time  0.442620
2021-09-27 20:43:55.147770 : Epoch 10, Batch    284, Loss  1.187602, Average Loss  1.192997, Time  0.445668
2021-09-27 20:44:01.082090 : Epoch 10, Batch    285, Loss  1.200041, Average Loss  1.193035, Time  0.441865
2021-09-27 20:44:07.029850 : Epoch 10, Batch    286, Loss  1.198261, Average Loss  1.193124, Time  0.443526
2021-09-27 20:44:12.966755 : Epoch 10, Batch    287, Loss  1.191351, Average Loss  1.193165, Time  0.440068
2021-09-27 20:44:18.916889 : Epoch 10, Batch    288, Loss  1.184921, Average Loss  1.193162, Time  0.441905
2021-09-27 20:44:24.886460 : Epoch 10, Batch    289, Loss  1.193436, Average Loss  1.193205, Time  0.443918
2021-09-27 20:44:30.810833 : Epoch 10, Batch    290, Loss  1.189315, Average Loss  1.193192, Time  0.440717
2021-09-27 20:44:36.763836 : Epoch 10, Batch    291, Loss  1.187661, Average Loss  1.193187, Time  0.440165
2021-09-27 20:44:42.714677 : Epoch 10, Batch    292, Loss  1.185667, Average Loss  1.193127, Time  0.454513
2021-09-27 20:44:48.632910 : Epoch 10, Batch    293, Loss  1.202186, Average Loss  1.193220, Time  0.440153
2021-09-27 20:44:54.578318 : Epoch 10, Batch    294, Loss  1.180097, Average Loss  1.193142, Time  0.439274
2021-09-27 20:45:00.520300 : Epoch 10, Batch    295, Loss  1.203561, Average Loss  1.193139, Time  0.442866
2021-09-27 20:45:06.463234 : Epoch 10, Batch    296, Loss  1.185260, Average Loss  1.193129, Time  0.440665
2021-09-27 20:45:12.421590 : Epoch 10, Batch    297, Loss  1.193325, Average Loss  1.193140, Time  0.440445
2021-09-27 20:45:18.380525 : Epoch 10, Batch    298, Loss  1.196713, Average Loss  1.193143, Time  0.440528
2021-09-27 20:45:24.337571 : Epoch 10, Batch    299, Loss  1.185400, Average Loss  1.193058, Time  0.439483
2021-09-27 20:45:30.295783 : Epoch 10, Batch    300, Loss  1.201458, Average Loss  1.193174, Time  0.457385
2021-09-27 20:45:36.235824 : Epoch 10, Batch    301, Loss  1.194381, Average Loss  1.193235, Time  0.439888
2021-09-27 20:45:42.164894 : Epoch 10, Batch    302, Loss  1.188424, Average Loss  1.193216, Time  0.438637
2021-09-27 20:45:48.113012 : Epoch 10, Batch    303, Loss  1.204486, Average Loss  1.193285, Time  0.441748
2021-09-27 20:45:54.043072 : Epoch 10, Batch    304, Loss  1.187050, Average Loss  1.193220, Time  0.440231
2021-09-27 20:46:00.001654 : Epoch 10, Batch    305, Loss  1.214078, Average Loss  1.193335, Time  0.441276
2021-09-27 20:46:05.944547 : Epoch 10, Batch    306, Loss  1.189916, Average Loss  1.193215, Time  0.442280
2021-09-27 20:46:11.908308 : Epoch 10, Batch    307, Loss  1.195277, Average Loss  1.193097, Time  0.440114
2021-09-27 20:46:17.873146 : Epoch 10, Batch    308, Loss  1.202931, Average Loss  1.193159, Time  0.450533
2021-09-27 20:46:23.837112 : Epoch 10, Batch    309, Loss  1.196718, Average Loss  1.193196, Time  0.442357
2021-09-27 20:46:29.776030 : Epoch 10, Batch    310, Loss  1.198120, Average Loss  1.193211, Time  0.442148
2021-09-27 20:46:35.739885 : Epoch 10, Batch    311, Loss  1.198166, Average Loss  1.193287, Time  0.442693
2021-09-27 20:46:41.695848 : Epoch 10, Batch    312, Loss  1.193728, Average Loss  1.193322, Time  0.441257
2021-09-27 20:46:47.667866 : Epoch 10, Batch    313, Loss  1.197699, Average Loss  1.193302, Time  0.439644
2021-09-27 20:46:53.624185 : Epoch 10, Batch    314, Loss  1.211655, Average Loss  1.193416, Time  0.439903
2021-09-27 20:46:59.589508 : Epoch 10, Batch    315, Loss  1.192655, Average Loss  1.193416, Time  0.440993
2021-09-27 20:47:05.546370 : Epoch 10, Batch    316, Loss  1.193216, Average Loss  1.193411, Time  0.457441
2021-09-27 20:47:11.486226 : Epoch 10, Batch    317, Loss  1.180908, Average Loss  1.193338, Time  0.441381
2021-09-27 20:47:17.406016 : Epoch 10, Batch    318, Loss  1.181178, Average Loss  1.193277, Time  0.442176
2021-09-27 20:47:23.325547 : Epoch 10, Batch    319, Loss  1.204423, Average Loss  1.193285, Time  0.440271
2021-09-27 20:47:29.261126 : Epoch 10, Batch    320, Loss  1.184108, Average Loss  1.193264, Time  0.439790
2021-09-27 20:47:35.183829 : Epoch 10, Batch    321, Loss  1.200230, Average Loss  1.193275, Time  0.442631
2021-09-27 20:47:41.110850 : Epoch 10, Batch    322, Loss  1.191924, Average Loss  1.193258, Time  0.439742
2021-09-27 20:47:47.040352 : Epoch 10, Batch    323, Loss  1.200809, Average Loss  1.193364, Time  0.441952
2021-09-27 20:47:52.970115 : Epoch 10, Batch    324, Loss  1.195445, Average Loss  1.193337, Time  0.454334
2021-09-27 20:47:58.894403 : Epoch 10, Batch    325, Loss  1.185495, Average Loss  1.193395, Time  0.440372
2021-09-27 20:48:04.828996 : Epoch 10, Batch    326, Loss  1.201331, Average Loss  1.193405, Time  0.441246
2021-09-27 20:48:10.754894 : Epoch 10, Batch    327, Loss  1.197459, Average Loss  1.193349, Time  0.440958
2021-09-27 20:48:16.676779 : Epoch 10, Batch    328, Loss  1.192879, Average Loss  1.193286, Time  0.439465
2021-09-27 20:48:22.586531 : Epoch 10, Batch    329, Loss  1.187843, Average Loss  1.193261, Time  0.440089
2021-09-27 20:48:28.499044 : Epoch 10, Batch    330, Loss  1.204842, Average Loss  1.193321, Time  0.441030
2021-09-27 20:48:34.436628 : Epoch 10, Batch    331, Loss  1.189333, Average Loss  1.193267, Time  0.442325
2021-09-27 20:48:40.380886 : Epoch 10, Batch    332, Loss  1.176923, Average Loss  1.193181, Time  0.449771
2021-09-27 20:48:46.320826 : Epoch 10, Batch    333, Loss  1.180340, Average Loss  1.193113, Time  0.439004
2021-09-27 20:48:52.231841 : Epoch 10, Batch    334, Loss  1.186372, Average Loss  1.193147, Time  0.439447
2021-09-27 20:48:58.165810 : Epoch 10, Batch    335, Loss  1.177812, Average Loss  1.193183, Time  0.442864
2021-09-27 20:49:04.105945 : Epoch 10, Batch    336, Loss  1.205506, Average Loss  1.193180, Time  0.442124
2021-09-27 20:49:10.048429 : Epoch 10, Batch    337, Loss  1.201056, Average Loss  1.193198, Time  0.440041
2021-09-27 20:49:15.982821 : Epoch 10, Batch    338, Loss  1.203098, Average Loss  1.193252, Time  0.440816
2021-09-27 20:49:21.898974 : Epoch 10, Batch    339, Loss  1.179814, Average Loss  1.193184, Time  0.440421
2021-09-27 20:49:27.846068 : Epoch 10, Batch    340, Loss  1.197002, Average Loss  1.193177, Time  0.449939
2021-09-27 20:49:33.787213 : Epoch 10, Batch    341, Loss  1.208429, Average Loss  1.193231, Time  0.443686
2021-09-27 20:49:39.729441 : Epoch 10, Batch    342, Loss  1.188679, Average Loss  1.193204, Time  0.440957
2021-09-27 20:49:45.653959 : Epoch 10, Batch    343, Loss  1.184937, Average Loss  1.193216, Time  0.441565
2021-09-27 20:49:51.593684 : Epoch 10, Batch    344, Loss  1.201532, Average Loss  1.193298, Time  0.439926
2021-09-27 20:49:57.546440 : Epoch 10, Batch    345, Loss  1.201431, Average Loss  1.193366, Time  0.439587
2021-09-27 20:50:03.465496 : Epoch 10, Batch    346, Loss  1.192078, Average Loss  1.193333, Time  0.445702
2021-09-27 20:50:09.389061 : Epoch 10, Batch    347, Loss  1.202739, Average Loss  1.193380, Time  0.439882
2021-09-27 20:50:15.323880 : Epoch 10, Batch    348, Loss  1.181292, Average Loss  1.193312, Time  0.450794
2021-09-27 20:54:51.600305 : CheckPoint: Validation Loss  0.00020379, Best Loss  0.00020284
2021-09-27 20:54:57.540115 : Epoch 10, Batch    349, Loss  1.194787, Average Loss  1.193348, Time  0.442022
2021-09-27 20:55:03.473626 : Epoch 10, Batch    350, Loss  1.198441, Average Loss  1.193313, Time  0.439992
2021-09-27 20:55:09.407206 : Epoch 10, Batch    351, Loss  1.194141, Average Loss  1.193340, Time  0.439632
2021-09-27 20:55:15.363313 : Epoch 10, Batch    352, Loss  1.193719, Average Loss  1.193321, Time  0.438532
2021-09-27 20:55:21.278475 : Epoch 10, Batch    353, Loss  1.179833, Average Loss  1.193314, Time  0.442357
2021-09-27 20:55:27.233884 : Epoch 10, Batch    354, Loss  1.188966, Average Loss  1.193305, Time  0.443197
2021-09-27 20:55:33.188523 : Epoch 10, Batch    355, Loss  1.180672, Average Loss  1.193163, Time  0.447412
2021-09-27 20:55:39.102954 : Epoch 10, Batch    356, Loss  1.184679, Average Loss  1.193067, Time  0.440110
2021-09-27 20:55:45.070509 : Epoch 10, Batch    357, Loss  1.196394, Average Loss  1.193082, Time  0.439271
2021-09-27 20:55:51.002994 : Epoch 10, Batch    358, Loss  1.175173, Average Loss  1.193010, Time  0.440572
2021-09-27 20:55:56.950052 : Epoch 10, Batch    359, Loss  1.186688, Average Loss  1.192952, Time  0.440555
2021-09-27 20:56:02.874732 : Epoch 10, Batch    360, Loss  1.201526, Average Loss  1.193044, Time  0.438842
2021-09-27 20:56:08.811087 : Epoch 10, Batch    361, Loss  1.188340, Average Loss  1.193102, Time  0.440738
2021-09-27 20:56:14.746607 : Epoch 10, Batch    362, Loss  1.184421, Average Loss  1.193031, Time  0.445024
2021-09-27 20:56:20.709793 : Epoch 10, Batch    363, Loss  1.197609, Average Loss  1.193068, Time  0.458316
2021-09-27 20:56:26.652008 : Epoch 10, Batch    364, Loss  1.195919, Average Loss  1.193203, Time  0.438762
2021-09-27 20:56:32.568388 : Epoch 10, Batch    365, Loss  1.182892, Average Loss  1.193123, Time  0.441015
2021-09-27 20:56:38.485802 : Epoch 10, Batch    366, Loss  1.203702, Average Loss  1.193207, Time  0.439237
2021-09-27 20:56:44.408286 : Epoch 10, Batch    367, Loss  1.197658, Average Loss  1.193101, Time  0.440369
2021-09-27 20:56:50.344700 : Epoch 10, Batch    368, Loss  1.192378, Average Loss  1.193097, Time  0.440783
2021-09-27 20:56:56.286031 : Epoch 10, Batch    369, Loss  1.186830, Average Loss  1.193051, Time  0.439638
2021-09-27 20:57:02.223062 : Epoch 10, Batch    370, Loss  1.184034, Average Loss  1.192934, Time  0.438870
2021-09-27 20:57:08.152797 : Epoch 10, Batch    371, Loss  1.200267, Average Loss  1.192963, Time  0.455716
2021-09-27 20:57:14.072765 : Epoch 10, Batch    372, Loss  1.194579, Average Loss  1.192984, Time  0.441411
2021-09-27 20:57:20.008173 : Epoch 10, Batch    373, Loss  1.181108, Average Loss  1.192906, Time  0.440723
2021-09-27 20:57:25.936705 : Epoch 10, Batch    374, Loss  1.187217, Average Loss  1.192914, Time  0.439911
2021-09-27 20:57:31.882735 : Epoch 10, Batch    375, Loss  1.195277, Average Loss  1.193014, Time  0.439960
2021-09-27 20:57:37.810386 : Epoch 10, Batch    376, Loss  1.185331, Average Loss  1.192980, Time  0.443946
2021-09-27 20:57:43.731145 : Epoch 10, Batch    377, Loss  1.188643, Average Loss  1.193032, Time  0.440346
2021-09-27 20:57:49.661817 : Epoch 10, Batch    378, Loss  1.208251, Average Loss  1.192996, Time  0.440097
2021-09-27 20:57:55.609226 : Epoch 10, Batch    379, Loss  1.197891, Average Loss  1.193005, Time  0.456271
2021-09-27 20:58:01.584735 : Epoch 10, Batch    380, Loss  1.197249, Average Loss  1.192959, Time  0.441090
2021-09-27 20:58:07.523828 : Epoch 10, Batch    381, Loss  1.180640, Average Loss  1.192784, Time  0.439431
2021-09-27 20:58:13.448874 : Epoch 10, Batch    382, Loss  1.199945, Average Loss  1.192767, Time  0.441467
2021-09-27 20:58:19.391735 : Epoch 10, Batch    383, Loss  1.190899, Average Loss  1.192722, Time  0.439335
2021-09-27 20:58:25.317956 : Epoch 10, Batch    384, Loss  1.205535, Average Loss  1.192773, Time  0.441643
2021-09-27 20:58:31.256896 : Epoch 10, Batch    385, Loss  1.203886, Average Loss  1.192908, Time  0.441307
2021-09-27 20:58:37.201343 : Epoch 10, Batch    386, Loss  1.196860, Average Loss  1.193012, Time  0.445091
2021-09-27 20:58:43.140773 : Epoch 10, Batch    387, Loss  1.184684, Average Loss  1.192978, Time  0.439437
2021-09-27 20:58:49.074556 : Epoch 10, Batch    388, Loss  1.211380, Average Loss  1.193019, Time  0.439619
2021-09-27 20:58:55.013185 : Epoch 10, Batch    389, Loss  1.198685, Average Loss  1.192996, Time  0.441029
2021-09-27 20:59:00.959819 : Epoch 10, Batch    390, Loss  1.187718, Average Loss  1.192966, Time  0.439836
2021-09-27 20:59:06.920537 : Epoch 10, Batch    391, Loss  1.209591, Average Loss  1.193063, Time  0.445412
2021-09-27 20:59:12.842953 : Epoch 10, Batch    392, Loss  1.192990, Average Loss  1.193056, Time  0.439734
2021-09-27 20:59:18.791753 : Epoch 10, Batch    393, Loss  1.198396, Average Loss  1.193043, Time  0.438952
2021-09-27 20:59:24.728696 : Epoch 10, Batch    394, Loss  1.189961, Average Loss  1.193012, Time  0.453755
2021-09-27 20:59:30.652763 : Epoch 10, Batch    395, Loss  1.186194, Average Loss  1.192941, Time  0.441144
2021-09-27 20:59:36.587835 : Epoch 10, Batch    396, Loss  1.185379, Average Loss  1.192929, Time  0.439491
2021-09-27 20:59:42.526917 : Epoch 10, Batch    397, Loss  1.188979, Average Loss  1.193001, Time  0.438780
2021-09-27 20:59:48.460006 : Epoch 10, Batch    398, Loss  1.215927, Average Loss  1.193048, Time  0.439311
2021-09-27 20:59:54.410343 : Epoch 10, Batch    399, Loss  1.201789, Average Loss  1.193095, Time  0.442524
2021-09-27 21:00:00.351781 : Epoch 10, Batch    400, Loss  1.202894, Average Loss  1.193140, Time  0.441673
2021-09-27 21:00:06.293194 : Epoch 10, Batch    401, Loss  1.186615, Average Loss  1.193271, Time  0.439354
2021-09-27 21:00:12.250679 : Epoch 10, Batch    402, Loss  1.194332, Average Loss  1.193317, Time  0.450292
2021-09-27 21:00:18.155473 : Epoch 10, Batch    403, Loss  1.191117, Average Loss  1.193352, Time  0.439414
2021-09-27 21:00:24.068314 : Epoch 10, Batch    404, Loss  1.178748, Average Loss  1.193279, Time  0.438664
2021-09-27 21:00:30.001286 : Epoch 10, Batch    405, Loss  1.190187, Average Loss  1.193253, Time  0.441024
2021-09-27 21:00:35.910829 : Epoch 10, Batch    406, Loss  1.188471, Average Loss  1.193257, Time  0.442582
2021-09-27 21:00:41.825779 : Epoch 10, Batch    407, Loss  1.201384, Average Loss  1.193281, Time  0.440451
2021-09-27 21:00:47.744796 : Epoch 10, Batch    408, Loss  1.196384, Average Loss  1.193362, Time  0.439330
2021-09-27 21:00:53.688962 : Epoch 10, Batch    409, Loss  1.193476, Average Loss  1.193353, Time  0.440056
2021-09-27 21:00:59.631718 : Epoch 10, Batch    410, Loss  1.193475, Average Loss  1.193418, Time  0.454310
2021-09-27 21:01:05.584437 : Epoch 10, Batch    411, Loss  1.204939, Average Loss  1.193428, Time  0.441744
2021-09-27 21:01:11.521873 : Epoch 10, Batch    412, Loss  1.191106, Average Loss  1.193434, Time  0.443039
2021-09-27 21:01:17.436429 : Epoch 10, Batch    413, Loss  1.186383, Average Loss  1.193460, Time  0.438536
2021-09-27 21:01:23.356200 : Epoch 10, Batch    414, Loss  1.186400, Average Loss  1.193419, Time  0.438518
2021-09-27 21:01:29.295793 : Epoch 10, Batch    415, Loss  1.191748, Average Loss  1.193350, Time  0.439581
2021-09-27 21:01:35.198316 : Epoch 10, Batch    416, Loss  1.193256, Average Loss  1.193316, Time  0.438836
2021-09-27 21:01:41.143356 : Epoch 10, Batch    417, Loss  1.204226, Average Loss  1.193372, Time  0.451051
2021-09-27 21:01:47.073751 : Epoch 10, Batch    418, Loss  1.196086, Average Loss  1.193475, Time  0.439061
2021-09-27 21:01:52.986417 : Epoch 10, Batch    419, Loss  1.201851, Average Loss  1.193526, Time  0.438942
2021-09-27 21:01:58.925837 : Epoch 10, Batch    420, Loss  1.195085, Average Loss  1.193481, Time  0.440431
2021-09-27 21:02:04.864292 : Epoch 10, Batch    421, Loss  1.194018, Average Loss  1.193457, Time  0.443935
2021-09-27 21:02:10.800217 : Epoch 10, Batch    422, Loss  1.195966, Average Loss  1.193440, Time  0.439556
2021-09-27 21:02:16.720568 : Epoch 10, Batch    423, Loss  1.201962, Average Loss  1.193402, Time  0.442891
2021-09-27 21:02:22.649225 : Epoch 10, Batch    424, Loss  1.201801, Average Loss  1.193366, Time  0.442435
2021-09-27 21:02:28.603694 : Epoch 10, Batch    425, Loss  1.204786, Average Loss  1.193434, Time  0.450911
2021-09-27 21:02:34.548626 : Epoch 10, Batch    426, Loss  1.184402, Average Loss  1.193328, Time  0.442279
2021-09-27 21:02:40.455609 : Epoch 10, Batch    427, Loss  1.198956, Average Loss  1.193307, Time  0.440649
2021-09-27 21:02:46.371211 : Epoch 10, Batch    428, Loss  1.190335, Average Loss  1.193336, Time  0.439959
2021-09-27 21:02:52.290820 : Epoch 10, Batch    429, Loss  1.195960, Average Loss  1.193358, Time  0.440254
2021-09-27 21:02:58.224323 : Epoch 10, Batch    430, Loss  1.192019, Average Loss  1.193399, Time  0.440882
2021-09-27 21:03:04.160793 : Epoch 10, Batch    431, Loss  1.197402, Average Loss  1.193397, Time  0.438464
2021-09-27 21:03:10.096685 : Epoch 10, Batch    432, Loss  1.183281, Average Loss  1.193409, Time  0.439996
2021-09-27 21:03:16.043537 : Epoch 10, Batch    433, Loss  1.191640, Average Loss  1.193368, Time  0.451181
2021-09-27 21:03:21.990669 : Epoch 10, Batch    434, Loss  1.201907, Average Loss  1.193338, Time  0.440907
2021-09-27 21:03:27.931232 : Epoch 10, Batch    435, Loss  1.207529, Average Loss  1.193415, Time  0.439454
2021-09-27 21:03:33.873924 : Epoch 10, Batch    436, Loss  1.199335, Average Loss  1.193358, Time  0.441752
2021-09-27 21:03:39.805414 : Epoch 10, Batch    437, Loss  1.210524, Average Loss  1.193475, Time  0.439320
2021-09-27 21:03:45.721996 : Epoch 10, Batch    438, Loss  1.189849, Average Loss  1.193513, Time  0.442871
2021-09-27 21:03:51.634343 : Epoch 10, Batch    439, Loss  1.194386, Average Loss  1.193500, Time  0.441103
2021-09-27 21:03:57.543691 : Epoch 10, Batch    440, Loss  1.193922, Average Loss  1.193524, Time  0.439808
2021-09-27 21:04:03.474534 : Epoch 10, Batch    441, Loss  1.188390, Average Loss  1.193464, Time  0.454108
2021-09-27 21:04:09.382777 : Epoch 10, Batch    442, Loss  1.203227, Average Loss  1.193583, Time  0.439126
2021-09-27 21:04:15.320850 : Epoch 10, Batch    443, Loss  1.177699, Average Loss  1.193508, Time  0.442419
2021-09-27 21:04:21.258797 : Epoch 10, Batch    444, Loss  1.196479, Average Loss  1.193500, Time  0.438929
2021-09-27 21:04:27.176366 : Epoch 10, Batch    445, Loss  1.192060, Average Loss  1.193527, Time  0.440026
2021-09-27 21:04:33.090279 : Epoch 10, Batch    446, Loss  1.201925, Average Loss  1.193584, Time  0.440512
2021-09-27 21:04:39.015955 : Epoch 10, Batch    447, Loss  1.176007, Average Loss  1.193513, Time  0.442231
2021-09-27 21:04:44.950072 : Epoch 10, Batch    448, Loss  1.182129, Average Loss  1.193451, Time  0.440045
2021-09-27 21:09:21.151059 : CheckPoint: Validation Loss  0.00020592, Best Loss  0.00020284
2021-09-27 21:09:27.041441 : Epoch 10, Batch    449, Loss  1.188951, Average Loss  1.193357, Time  0.441940
2021-09-27 21:09:32.965241 : Epoch 10, Batch    450, Loss  1.185034, Average Loss  1.193349, Time  0.449387
2021-09-27 21:09:38.905322 : Epoch 10, Batch    451, Loss  1.180908, Average Loss  1.193278, Time  0.442606
2021-09-27 21:09:44.822895 : Epoch 10, Batch    452, Loss  1.188512, Average Loss  1.193291, Time  0.444228
2021-09-27 21:09:50.736042 : Epoch 10, Batch    453, Loss  1.198936, Average Loss  1.193242, Time  0.441089
2021-09-27 21:09:56.670473 : Epoch 10, Batch    454, Loss  1.182441, Average Loss  1.193263, Time  0.440323
2021-09-27 21:10:02.590763 : Epoch 10, Batch    455, Loss  1.199310, Average Loss  1.193329, Time  0.438701
2021-09-27 21:10:08.509702 : Epoch 10, Batch    456, Loss  1.188424, Average Loss  1.193336, Time  0.439456
2021-09-27 21:10:14.457813 : Epoch 10, Batch    457, Loss  1.200679, Average Loss  1.193431, Time  0.443690
2021-09-27 21:10:20.399915 : Epoch 10, Batch    458, Loss  1.201723, Average Loss  1.193505, Time  0.451283
2021-09-27 21:10:26.307789 : Epoch 10, Batch    459, Loss  1.187722, Average Loss  1.193475, Time  0.438495
2021-09-27 21:10:32.241752 : Epoch 10, Batch    460, Loss  1.204982, Average Loss  1.193491, Time  0.439506
2021-09-27 21:10:38.176613 : Epoch 10, Batch    461, Loss  1.205030, Average Loss  1.193611, Time  0.439559
2021-09-27 21:10:44.077185 : Epoch 10, Batch    462, Loss  1.198154, Average Loss  1.193687, Time  0.442034
2021-09-27 21:10:49.999661 : Epoch 10, Batch    463, Loss  1.202007, Average Loss  1.193672, Time  0.442269
2021-09-27 21:10:55.933128 : Epoch 10, Batch    464, Loss  1.190866, Average Loss  1.193766, Time  0.439997
2021-09-27 21:11:01.872171 : Epoch 10, Batch    465, Loss  1.218028, Average Loss  1.193892, Time  0.440054
2021-09-27 21:11:07.800455 : Epoch 10, Batch    466, Loss  1.197411, Average Loss  1.193942, Time  0.452086
2021-09-27 21:11:13.723915 : Epoch 10, Batch    467, Loss  1.204977, Average Loss  1.194002, Time  0.441336
2021-09-27 21:11:19.662662 : Epoch 10, Batch    468, Loss  1.214880, Average Loss  1.194128, Time  0.439288
2021-09-27 21:11:25.595851 : Epoch 10, Batch    469, Loss  1.196691, Average Loss  1.194117, Time  0.439197
2021-09-27 21:11:31.526752 : Epoch 10, Batch    470, Loss  1.194558, Average Loss  1.194076, Time  0.438895
2021-09-27 21:11:37.459014 : Epoch 10, Batch    471, Loss  1.199469, Average Loss  1.194067, Time  0.442349
2021-09-27 21:11:43.395138 : Epoch 10, Batch    472, Loss  1.203890, Average Loss  1.194139, Time  0.439057
2021-09-27 21:11:49.318752 : Epoch 10, Batch    473, Loss  1.198008, Average Loss  1.194219, Time  0.442013
2021-09-27 21:11:55.244946 : Epoch 10, Batch    474, Loss  1.204994, Average Loss  1.194207, Time  0.455026
2021-09-27 21:12:01.174147 : Epoch 10, Batch    475, Loss  1.190754, Average Loss  1.194193, Time  0.440378
2021-09-27 21:12:07.081781 : Epoch 10, Batch    476, Loss  1.185244, Average Loss  1.194138, Time  0.439088
2021-09-27 21:12:13.033632 : Epoch 10, Batch    477, Loss  1.205489, Average Loss  1.194208, Time  0.439908
2021-09-27 21:12:18.959897 : Epoch 10, Batch    478, Loss  1.217004, Average Loss  1.194315, Time  0.440202
2021-09-27 21:12:24.855846 : Epoch 10, Batch    479, Loss  1.195863, Average Loss  1.194267, Time  0.439602
2021-09-27 21:12:30.770778 : Epoch 10, Batch    480, Loss  1.193271, Average Loss  1.194288, Time  0.438847
2021-09-27 21:12:36.702466 : Epoch 10, Batch    481, Loss  1.205856, Average Loss  1.194351, Time  0.442384
2021-09-27 21:12:42.629945 : Epoch 10, Batch    482, Loss  1.192413, Average Loss  1.194375, Time  0.449570
2021-09-27 21:12:48.543907 : Epoch 10, Batch    483, Loss  1.190406, Average Loss  1.194375, Time  0.439392
2021-09-27 21:12:54.450019 : Epoch 10, Batch    484, Loss  1.204167, Average Loss  1.194458, Time  0.438971
2021-09-27 21:13:00.371210 : Epoch 10, Batch    485, Loss  1.194015, Average Loss  1.194428, Time  0.441265
2021-09-27 21:13:06.283411 : Epoch 10, Batch    486, Loss  1.188108, Average Loss  1.194377, Time  0.441268
2021-09-27 21:13:12.207545 : Epoch 10, Batch    487, Loss  1.177492, Average Loss  1.194308, Time  0.440668
2021-09-27 21:13:18.134879 : Epoch 10, Batch    488, Loss  1.188741, Average Loss  1.194327, Time  0.442182
2021-09-27 21:13:24.049333 : Epoch 10, Batch    489, Loss  1.191815, Average Loss  1.194319, Time  0.450403
2021-09-27 21:13:29.975687 : Epoch 10, Batch    490, Loss  1.180928, Average Loss  1.194277, Time  0.440588
2021-09-27 21:13:35.886138 : Epoch 10, Batch    491, Loss  1.196717, Average Loss  1.194322, Time  0.440722
2021-09-27 21:13:41.810689 : Epoch 10, Batch    492, Loss  1.202273, Average Loss  1.194405, Time  0.440468
2021-09-27 21:13:47.727461 : Epoch 10, Batch    493, Loss  1.194161, Average Loss  1.194365, Time  0.439068
2021-09-27 21:13:53.663051 : Epoch 10, Batch    494, Loss  1.207753, Average Loss  1.194503, Time  0.445832
2021-09-27 21:13:59.596567 : Epoch 10, Batch    495, Loss  1.184313, Average Loss  1.194407, Time  0.441450
2021-09-27 21:14:05.529593 : Epoch 10, Batch    496, Loss  1.194533, Average Loss  1.194453, Time  0.440616
2021-09-27 21:14:11.458757 : Epoch 10, Batch    497, Loss  1.176732, Average Loss  1.194370, Time  0.454021
2021-09-27 21:14:17.373772 : Epoch 10, Batch    498, Loss  1.212367, Average Loss  1.194449, Time  0.442218
2021-09-27 21:14:23.306049 : Epoch 10, Batch    499, Loss  1.187065, Average Loss  1.194457, Time  0.442697
2021-09-27 21:14:29.228875 : Epoch 10, Batch    500, Loss  1.181576, Average Loss  1.194358, Time  0.441979
2021-09-27 21:14:35.138010 : Epoch 10, Batch    501, Loss  1.209856, Average Loss  1.194435, Time  0.439515
2021-09-27 21:14:41.072220 : Epoch 10, Batch    502, Loss  1.193474, Average Loss  1.194460, Time  0.440816
2021-09-27 21:14:46.993787 : Epoch 10, Batch    503, Loss  1.189727, Average Loss  1.194386, Time  0.439221
2021-09-27 21:14:52.917780 : Epoch 10, Batch    504, Loss  1.204563, Average Loss  1.194474, Time  0.439870
2021-09-27 21:14:58.856024 : Epoch 10, Batch    505, Loss  1.181342, Average Loss  1.194310, Time  0.455881
2021-09-27 21:15:04.772354 : Epoch 10, Batch    506, Loss  1.196715, Average Loss  1.194344, Time  0.439716
2021-09-27 21:15:10.689036 : Epoch 10, Batch    507, Loss  1.192828, Average Loss  1.194332, Time  0.441059
2021-09-27 21:15:16.618511 : Epoch 10, Batch    508, Loss  1.187151, Average Loss  1.194253, Time  0.438777
2021-09-27 21:15:22.539042 : Epoch 10, Batch    509, Loss  1.187837, Average Loss  1.194209, Time  0.439368
2021-09-27 21:15:28.492771 : Epoch 10, Batch    510, Loss  1.188135, Average Loss  1.194159, Time  0.441762
2021-09-27 21:15:34.412969 : Epoch 10, Batch    511, Loss  1.192418, Average Loss  1.194130, Time  0.440027
2021-09-27 21:15:40.342307 : Epoch 10, Batch    512, Loss  1.180695, Average Loss  1.194065, Time  0.440272
2021-09-27 21:15:46.286131 : Epoch 10, Batch    513, Loss  1.205393, Average Loss  1.194103, Time  0.449293
2021-09-27 21:15:52.200976 : Epoch 10, Batch    514, Loss  1.193083, Average Loss  1.194010, Time  0.438987
2021-09-27 21:15:58.135372 : Epoch 10, Batch    515, Loss  1.184263, Average Loss  1.193968, Time  0.442619
2021-09-27 21:16:04.047551 : Epoch 10, Batch    516, Loss  1.214724, Average Loss  1.194076, Time  0.439779
2021-09-27 21:16:09.973896 : Epoch 10, Batch    517, Loss  1.193630, Average Loss  1.194140, Time  0.441515
2021-09-27 21:16:15.916653 : Epoch 10, Batch    518, Loss  1.199318, Average Loss  1.194230, Time  0.444358
2021-09-27 21:16:21.831468 : Epoch 10, Batch    519, Loss  1.204911, Average Loss  1.194233, Time  0.440655
2021-09-27 21:16:27.739228 : Epoch 10, Batch    520, Loss  1.198169, Average Loss  1.194303, Time  0.440583
2021-09-27 21:16:33.680323 : Epoch 10, Batch    521, Loss  1.186312, Average Loss  1.194233, Time  0.453624
2021-09-27 21:16:39.604831 : Epoch 10, Batch    522, Loss  1.203855, Average Loss  1.194293, Time  0.439705
2021-09-27 21:16:45.534369 : Epoch 10, Batch    523, Loss  1.173499, Average Loss  1.194157, Time  0.439775
2021-09-27 21:16:51.469900 : Epoch 10, Batch    524, Loss  1.189251, Average Loss  1.194126, Time  0.440237
2021-09-27 21:16:57.386282 : Epoch 10, Batch    525, Loss  1.181198, Average Loss  1.194104, Time  0.446542
2021-09-27 21:17:03.296903 : Epoch 10, Batch    526, Loss  1.209594, Average Loss  1.194145, Time  0.439053
2021-09-27 21:17:09.217273 : Epoch 10, Batch    527, Loss  1.182088, Average Loss  1.194069, Time  0.439615
2021-09-27 21:17:15.171122 : Epoch 10, Batch    528, Loss  1.191428, Average Loss  1.194061, Time  0.452708
2021-09-27 21:17:21.103747 : Epoch 10, Batch    529, Loss  1.176168, Average Loss  1.194003, Time  0.441776
2021-09-27 21:17:27.009994 : Epoch 10, Batch    530, Loss  1.180616, Average Loss  1.193882, Time  0.440130
2021-09-27 21:17:32.941295 : Epoch 10, Batch    531, Loss  1.204516, Average Loss  1.193958, Time  0.440403
2021-09-27 21:17:38.866817 : Epoch 10, Batch    532, Loss  1.184088, Average Loss  1.193994, Time  0.441315
2021-09-27 21:17:44.793877 : Epoch 10, Batch    533, Loss  1.198286, Average Loss  1.194083, Time  0.440516
2021-09-27 21:17:50.728939 : Epoch 10, Batch    534, Loss  1.182815, Average Loss  1.194066, Time  0.446853
2021-09-27 21:17:56.637860 : Epoch 10, Batch    535, Loss  1.214781, Average Loss  1.194250, Time  0.439634
2021-09-27 21:18:02.592788 : Epoch 10, Batch    536, Loss  1.191720, Average Loss  1.194181, Time  0.453927
2021-09-27 21:18:08.523851 : Epoch 10, Batch    537, Loss  1.181753, Average Loss  1.194085, Time  0.439553
2021-09-27 21:18:14.465685 : Epoch 10, Batch    538, Loss  1.193916, Average Loss  1.194039, Time  0.441527
2021-09-27 21:18:20.398267 : Epoch 10, Batch    539, Loss  1.198448, Average Loss  1.194132, Time  0.440185
2021-09-27 21:18:26.327657 : Epoch 10, Batch    540, Loss  1.191655, Average Loss  1.194105, Time  0.439156
2021-09-27 21:18:32.245645 : Epoch 10, Batch    541, Loss  1.180705, Average Loss  1.193967, Time  0.439304
2021-09-27 21:18:38.174368 : Epoch 10, Batch    542, Loss  1.198832, Average Loss  1.194018, Time  0.441345
2021-09-27 21:18:44.110786 : Epoch 10, Batch    543, Loss  1.204977, Average Loss  1.194118, Time  0.440896
2021-09-27 21:18:50.041729 : Epoch 10, Batch    544, Loss  1.174532, Average Loss  1.193983, Time  0.453139
2021-09-27 21:18:55.968326 : Epoch 10, Batch    545, Loss  1.177765, Average Loss  1.193864, Time  0.438667
2021-09-27 21:19:01.898929 : Epoch 10, Batch    546, Loss  1.188877, Average Loss  1.193848, Time  0.439236
2021-09-27 21:19:07.838802 : Epoch 10, Batch    547, Loss  1.196792, Average Loss  1.193819, Time  0.440267
2021-09-27 21:19:13.756857 : Epoch 10, Batch    548, Loss  1.189430, Average Loss  1.193859, Time  0.441089
2021-09-27 21:23:50.089593 : CheckPoint: Validation Loss  0.00020992, Best Loss  0.00020284
2021-09-27 21:23:56.003294 : Epoch 10, Batch    549, Loss  1.207261, Average Loss  1.193922, Time  0.440208
2021-09-27 21:24:01.894837 : Epoch 10, Batch    550, Loss  1.196457, Average Loss  1.193912, Time  0.439012
2021-09-27 21:24:07.799111 : Epoch 10, Batch    551, Loss  1.197366, Average Loss  1.193928, Time  0.439647
2021-09-27 21:24:13.718101 : Epoch 10, Batch    552, Loss  1.185307, Average Loss  1.193886, Time  0.453407
2021-09-27 21:24:19.615234 : Epoch 10, Batch    553, Loss  1.189222, Average Loss  1.193933, Time  0.440180
2021-09-27 21:24:25.506608 : Epoch 10, Batch    554, Loss  1.182766, Average Loss  1.193902, Time  0.440099
2021-09-27 21:24:31.398396 : Epoch 10, Batch    555, Loss  1.194359, Average Loss  1.193970, Time  0.442605
2021-09-27 21:24:37.304797 : Epoch 10, Batch    556, Loss  1.172303, Average Loss  1.193908, Time  0.440274
2021-09-27 21:24:43.201987 : Epoch 10, Batch    557, Loss  1.187936, Average Loss  1.193866, Time  0.440257
2021-09-27 21:24:49.107561 : Epoch 10, Batch    558, Loss  1.190744, Average Loss  1.193944, Time  0.440810
2021-09-27 21:24:54.994036 : Epoch 10, Batch    559, Loss  1.186718, Average Loss  1.193944, Time  0.438455
2021-09-27 21:25:00.912400 : Epoch 10, Batch    560, Loss  1.181383, Average Loss  1.193843, Time  0.452482
2021-09-27 21:25:06.813813 : Epoch 10, Batch    561, Loss  1.178519, Average Loss  1.193794, Time  0.439952
2021-09-27 21:25:12.701226 : Epoch 10, Batch    562, Loss  1.184861, Average Loss  1.193797, Time  0.440422
2021-09-27 21:25:18.609750 : Epoch 10, Batch    563, Loss  1.212914, Average Loss  1.193873, Time  0.442117
2021-09-27 21:25:24.510758 : Epoch 10, Batch    564, Loss  1.189305, Average Loss  1.193840, Time  0.439201
2021-09-27 21:25:30.412528 : Epoch 10, Batch    565, Loss  1.189223, Average Loss  1.193872, Time  0.441976
2021-09-27 21:25:36.318445 : Epoch 10, Batch    566, Loss  1.202093, Average Loss  1.193864, Time  0.441030
2021-09-27 21:25:42.223194 : Epoch 10, Batch    567, Loss  1.168129, Average Loss  1.193716, Time  0.441424
2021-09-27 21:25:48.147778 : Epoch 10, Batch    568, Loss  1.197061, Average Loss  1.193739, Time  0.458822
2021-09-27 21:25:54.045138 : Epoch 10, Batch    569, Loss  1.172317, Average Loss  1.193667, Time  0.441878
2021-09-27 21:25:59.963908 : Epoch 10, Batch    570, Loss  1.186250, Average Loss  1.193678, Time  0.439147
2021-09-27 21:26:05.876537 : Epoch 10, Batch    571, Loss  1.201156, Average Loss  1.193682, Time  0.441145
2021-09-27 21:26:11.796744 : Epoch 10, Batch    572, Loss  1.182166, Average Loss  1.193620, Time  0.440925
2021-09-27 21:26:17.706481 : Epoch 10, Batch    573, Loss  1.204040, Average Loss  1.193735, Time  0.442809
2021-09-27 21:26:23.620957 : Epoch 10, Batch    574, Loss  1.202136, Average Loss  1.193810, Time  0.443021
2021-09-27 21:26:29.521781 : Epoch 10, Batch    575, Loss  1.186957, Average Loss  1.193768, Time  0.440668
2021-09-27 21:26:35.419749 : Epoch 10, Batch    576, Loss  1.196964, Average Loss  1.193826, Time  0.444635
2021-09-27 21:26:41.326222 : Epoch 10, Batch    577, Loss  1.204839, Average Loss  1.193907, Time  0.442056
2021-09-27 21:26:47.220149 : Epoch 10, Batch    578, Loss  1.189098, Average Loss  1.193811, Time  0.439307
2021-09-27 21:26:53.124429 : Epoch 10, Batch    579, Loss  1.190277, Average Loss  1.193773, Time  0.441643
2021-09-27 21:26:59.029367 : Epoch 10, Batch    580, Loss  1.180066, Average Loss  1.193687, Time  0.439796
2021-09-27 21:27:04.940268 : Epoch 10, Batch    581, Loss  1.177586, Average Loss  1.193672, Time  0.441718
2021-09-27 21:27:10.846908 : Epoch 10, Batch    582, Loss  1.192537, Average Loss  1.193635, Time  0.440490
2021-09-27 21:27:16.753121 : Epoch 10, Batch    583, Loss  1.185996, Average Loss  1.193610, Time  0.441234
2021-09-27 21:27:22.673036 : Epoch 10, Batch    584, Loss  1.193548, Average Loss  1.193551, Time  0.451377
2021-09-27 21:27:28.601076 : Epoch 10, Batch    585, Loss  1.190423, Average Loss  1.193483, Time  0.440295
2021-09-27 21:27:34.497401 : Epoch 10, Batch    586, Loss  1.190541, Average Loss  1.193452, Time  0.445686
2021-09-27 21:27:40.403017 : Epoch 10, Batch    587, Loss  1.181974, Average Loss  1.193438, Time  0.441365
2021-09-27 21:27:46.301778 : Epoch 10, Batch    588, Loss  1.193721, Average Loss  1.193350, Time  0.439673
2021-09-27 21:27:52.204682 : Epoch 10, Batch    589, Loss  1.188069, Average Loss  1.193297, Time  0.439337
2021-09-27 21:27:58.103666 : Epoch 10, Batch    590, Loss  1.192549, Average Loss  1.193321, Time  0.439965
2021-09-27 21:28:03.998867 : Epoch 10, Batch    591, Loss  1.192333, Average Loss  1.193235, Time  0.440132
2021-09-27 21:28:09.921546 : Epoch 10, Batch    592, Loss  1.194292, Average Loss  1.193241, Time  0.453171
2021-09-27 21:28:15.828856 : Epoch 10, Batch    593, Loss  1.181483, Average Loss  1.193157, Time  0.440676
2021-09-27 21:28:21.734422 : Epoch 10, Batch    594, Loss  1.197089, Average Loss  1.193192, Time  0.442240
2021-09-27 21:28:27.628722 : Epoch 10, Batch    595, Loss  1.197072, Average Loss  1.193247, Time  0.439097
2021-09-27 21:28:33.519272 : Epoch 10, Batch    596, Loss  1.191325, Average Loss  1.193276, Time  0.439811
2021-09-27 21:28:39.428559 : Epoch 10, Batch    597, Loss  1.189860, Average Loss  1.193281, Time  0.439741
2021-09-27 21:28:45.332757 : Epoch 10, Batch    598, Loss  1.187994, Average Loss  1.193141, Time  0.440372
2021-09-27 21:28:51.235020 : Epoch 10, Batch    599, Loss  1.178977, Average Loss  1.193027, Time  0.444113
2021-09-27 21:28:57.141047 : Epoch 10, Batch    600, Loss  1.196626, Average Loss  1.192996, Time  0.450018
2021-09-27 21:29:03.050783 : Epoch 10, Batch    601, Loss  1.202838, Average Loss  1.193077, Time  0.441042
2021-09-27 21:29:08.953075 : Epoch 10, Batch    602, Loss  1.195978, Average Loss  1.193085, Time  0.442133
2021-09-27 21:29:14.863591 : Epoch 10, Batch    603, Loss  1.212391, Average Loss  1.193191, Time  0.441912
2021-09-27 21:29:20.778658 : Epoch 10, Batch    604, Loss  1.178147, Average Loss  1.193188, Time  0.441201
2021-09-27 21:29:26.677925 : Epoch 10, Batch    605, Loss  1.196645, Average Loss  1.193221, Time  0.439447
2021-09-27 21:29:32.565297 : Epoch 10, Batch    606, Loss  1.187407, Average Loss  1.193215, Time  0.440171
2021-09-27 21:29:38.454252 : Epoch 10, Batch    607, Loss  1.183609, Average Loss  1.193126, Time  0.438664
2021-09-27 21:29:44.354443 : Epoch 10, Batch    608, Loss  1.188204, Average Loss  1.193086, Time  0.455019
2021-09-27 21:29:50.286183 : Epoch 10, Batch    609, Loss  1.186504, Average Loss  1.193051, Time  0.439238
2021-09-27 21:29:56.176043 : Epoch 10, Batch    610, Loss  1.202634, Average Loss  1.193096, Time  0.440526
2021-09-27 21:30:02.086731 : Epoch 10, Batch    611, Loss  1.205268, Average Loss  1.193098, Time  0.441070
2021-09-27 21:30:07.993618 : Epoch 10, Batch    612, Loss  1.188998, Average Loss  1.193088, Time  0.441959
2021-09-27 21:30:13.887121 : Epoch 10, Batch    613, Loss  1.197494, Average Loss  1.193143, Time  0.441206
2021-09-27 21:30:19.796770 : Epoch 10, Batch    614, Loss  1.196595, Average Loss  1.193194, Time  0.439605
2021-09-27 21:30:25.705002 : Epoch 10, Batch    615, Loss  1.183034, Average Loss  1.193151, Time  0.443300
2021-09-27 21:30:31.621182 : Epoch 10, Batch    616, Loss  1.190991, Average Loss  1.193139, Time  0.456052
2021-09-27 21:30:37.532954 : Epoch 10, Batch    617, Loss  1.187854, Average Loss  1.193057, Time  0.439321
2021-09-27 21:30:43.231502 : Epoch 10, Batch    618, Loss  1.194727, Average Loss  1.193051, Time  0.438276
2021-09-27 21:30:48.634655 : Epoch 10, Batch    619, Loss  1.190536, Average Loss  1.192994, Time  0.435785
2021-09-27 21:30:53.917919 : Epoch 10, Batch    620, Loss  1.192918, Average Loss  1.192983, Time  0.435942
2021-09-27 21:30:59.154716 : Epoch 10, Batch    621, Loss  1.188953, Average Loss  1.192958, Time  0.435333
2021-09-27 21:31:04.450333 : Epoch 10, Batch    622, Loss  1.189223, Average Loss  1.192924, Time  0.435412
2021-09-27 21:31:09.730857 : Epoch 10, Batch    623, Loss  1.208273, Average Loss  1.192956, Time  0.436466
2021-09-27 21:31:14.991149 : Epoch 10, Batch    624, Loss  1.183368, Average Loss  1.192863, Time  0.435723
2021-09-27 21:31:20.289231 : Epoch 10, Batch    625, Loss  1.188352, Average Loss  1.192781, Time  0.447889
2021-09-27 21:31:25.562012 : Epoch 10, Batch    626, Loss  1.181083, Average Loss  1.192765, Time  0.438531
2021-09-27 21:31:31.087085 : Epoch 10, Batch    627, Loss  1.189857, Average Loss  1.192719, Time  0.436185
2021-09-27 21:31:36.461216 : Epoch 10, Batch    628, Loss  1.181120, Average Loss  1.192673, Time  0.435600
2021-09-27 21:31:41.891300 : Epoch 10, Batch    629, Loss  1.192269, Average Loss  1.192655, Time  0.436159
2021-09-27 21:31:47.341812 : Epoch 10, Batch    630, Loss  1.189652, Average Loss  1.192643, Time  0.437626
2021-09-27 21:31:52.794677 : Epoch 10, Batch    631, Loss  1.181875, Average Loss  1.192565, Time  0.436089
2021-09-27 21:31:58.187071 : Epoch 10, Batch    632, Loss  1.179076, Average Loss  1.192544, Time  0.435218
2021-09-27 21:32:03.467576 : Epoch 10, Batch    633, Loss  1.186924, Average Loss  1.192521, Time  0.436108
2021-09-27 21:32:08.813366 : Epoch 10, Batch    634, Loss  1.182860, Average Loss  1.192425, Time  0.447870
2021-09-27 21:32:14.151658 : Epoch 10, Batch    635, Loss  1.191479, Average Loss  1.192345, Time  0.435621
2021-09-27 21:32:19.435008 : Epoch 10, Batch    636, Loss  1.190030, Average Loss  1.192299, Time  0.435196
2021-09-27 21:32:24.715383 : Epoch 10, Batch    637, Loss  1.193369, Average Loss  1.192213, Time  0.435034
2021-09-27 21:32:29.955246 : Epoch 10, Batch    638, Loss  1.180485, Average Loss  1.192166, Time  0.435380
2021-09-27 21:32:35.250013 : Epoch 10, Batch    639, Loss  1.196280, Average Loss  1.192175, Time  0.435709
2021-09-27 21:32:40.540177 : Epoch 10, Batch    640, Loss  1.204729, Average Loss  1.192230, Time  0.436049
2021-09-27 21:32:45.821925 : Epoch 10, Batch    641, Loss  1.173058, Average Loss  1.192153, Time  0.436342
2021-09-27 21:32:51.122218 : Epoch 10, Batch    642, Loss  1.191373, Average Loss  1.192094, Time  0.435304
2021-09-27 21:32:56.439515 : Epoch 10, Batch    643, Loss  1.196708, Average Loss  1.192189, Time  0.443534
2021-09-27 21:33:01.722741 : Epoch 10, Batch    644, Loss  1.188750, Average Loss  1.192150, Time  0.435680
2021-09-27 21:33:06.987743 : Epoch 10, Batch    645, Loss  1.188090, Average Loss  1.192130, Time  0.435687
2021-09-27 21:33:12.268615 : Epoch 10, Batch    646, Loss  1.186428, Average Loss  1.192053, Time  0.436048
2021-09-27 21:33:17.553721 : Epoch 10, Batch    647, Loss  1.173242, Average Loss  1.192039, Time  0.436026
2021-09-27 21:33:28.301357 : Epoch 10, Batch    648, Loss  1.185497, Average Loss  1.192056, Time  0.435786
2021-09-27 21:37:44.126733 : CheckPoint: Validation Loss  0.00021176, Best Loss  0.00020284
2021-09-27 21:37:49.750460 : Epoch 10, Batch    649, Loss  1.183782, Average Loss  1.192030, Time  0.437526
2021-09-27 21:37:55.385345 : Epoch 10, Batch    650, Loss  1.188729, Average Loss  1.192048, Time  0.440483
2021-09-27 21:38:01.016833 : Epoch 10, Batch    651, Loss  1.183104, Average Loss  1.192059, Time  0.437630
2021-09-27 21:38:06.660339 : Epoch 10, Batch    652, Loss  1.186082, Average Loss  1.192047, Time  0.441068
2021-09-27 21:38:12.250352 : Epoch 10, Batch    653, Loss  1.193820, Average Loss  1.192022, Time  0.438174
2021-09-27 21:38:17.800884 : Epoch 10, Batch    654, Loss  1.194431, Average Loss  1.192081, Time  0.439679
2021-09-27 21:38:23.451961 : Epoch 10, Batch    655, Loss  1.184857, Average Loss  1.192009, Time  0.438223
2021-09-27 21:38:29.157725 : Epoch 10, Batch    656, Loss  1.191651, Average Loss  1.192025, Time  0.447088
2021-09-27 21:38:34.774895 : Epoch 10, Batch    657, Loss  1.206447, Average Loss  1.192054, Time  0.438099
2021-09-27 21:38:40.487508 : Epoch 10, Batch    658, Loss  1.180750, Average Loss  1.191949, Time  0.439152
2021-09-27 21:38:46.008790 : Epoch 10, Batch    659, Loss  1.185029, Average Loss  1.191936, Time  0.438059
2021-09-27 21:38:51.624546 : Epoch 10, Batch    660, Loss  1.195876, Average Loss  1.191890, Time  0.438287
2021-09-27 21:38:57.288505 : Epoch 10, Batch    661, Loss  1.178103, Average Loss  1.191756, Time  0.437289
2021-09-27 21:39:02.966972 : Epoch 10, Batch    662, Loss  1.198144, Average Loss  1.191756, Time  0.439088
2021-09-27 21:39:08.582768 : Epoch 10, Batch    663, Loss  1.192607, Average Loss  1.191709, Time  0.438033
2021-09-27 21:39:14.284374 : Epoch 10, Batch    664, Loss  1.216524, Average Loss  1.191837, Time  0.450302
2021-09-27 21:39:20.018642 : Epoch 10, Batch    665, Loss  1.190452, Average Loss  1.191699, Time  0.438926
2021-09-27 21:39:25.641333 : Epoch 10, Batch    666, Loss  1.213703, Average Loss  1.191781, Time  0.439614
2021-09-27 21:39:31.235335 : Epoch 10, Batch    667, Loss  1.200686, Average Loss  1.191759, Time  0.440809
2021-09-27 21:39:36.829552 : Epoch 10, Batch    668, Loss  1.193012, Average Loss  1.191650, Time  0.439366
2021-09-27 21:39:42.522260 : Epoch 10, Batch    669, Loss  1.187356, Average Loss  1.191603, Time  0.440229
2021-09-27 21:39:48.131102 : Epoch 10, Batch    670, Loss  1.178301, Average Loss  1.191522, Time  0.438073
2021-09-27 21:39:53.808059 : Epoch 10, Batch    671, Loss  1.211436, Average Loss  1.191582, Time  0.441027
2021-09-27 21:39:59.408116 : Epoch 10, Batch    672, Loss  1.175661, Average Loss  1.191440, Time  0.447588
2021-09-27 21:40:05.123375 : Epoch 10, Batch    673, Loss  1.206328, Average Loss  1.191482, Time  0.438014
2021-09-27 21:40:10.610484 : Epoch 10, Batch    674, Loss  1.191469, Average Loss  1.191414, Time  0.438057
2021-09-27 21:40:16.211758 : Epoch 10, Batch    675, Loss  1.188571, Average Loss  1.191404, Time  0.436609
2021-09-27 21:40:21.777767 : Epoch 10, Batch    676, Loss  1.185267, Average Loss  1.191404, Time  0.435310
2021-09-27 21:40:27.224265 : Epoch 10, Batch    677, Loss  1.212511, Average Loss  1.191439, Time  0.438393
2021-09-27 21:40:32.882802 : Epoch 10, Batch    678, Loss  1.196631, Average Loss  1.191337, Time  0.442125
2021-09-27 21:40:38.930737 : Epoch 10, Batch    679, Loss  1.197200, Average Loss  1.191344, Time  0.441714
2021-09-27 21:40:44.721529 : Epoch 10, Batch    680, Loss  1.185662, Average Loss  1.191306, Time  0.447951
2021-09-27 21:40:50.323050 : Epoch 10, Batch    681, Loss  1.204443, Average Loss  1.191298, Time  0.437237
2021-09-27 21:40:56.054707 : Epoch 10, Batch    682, Loss  1.196300, Average Loss  1.191318, Time  0.442509
2021-09-27 21:41:01.661431 : Epoch 10, Batch    683, Loss  1.203999, Average Loss  1.191386, Time  0.438539
2021-09-27 21:41:07.410129 : Epoch 10, Batch    684, Loss  1.201450, Average Loss  1.191372, Time  0.439509
2021-09-27 21:41:13.160013 : Epoch 10, Batch    685, Loss  1.204940, Average Loss  1.191427, Time  0.438442
2021-09-27 21:41:18.913968 : Epoch 10, Batch    686, Loss  1.195672, Average Loss  1.191465, Time  0.439135
2021-09-27 21:41:24.571354 : Epoch 10, Batch    687, Loss  1.180133, Average Loss  1.191478, Time  0.438371
2021-09-27 21:41:30.318223 : Epoch 10, Batch    688, Loss  1.181006, Average Loss  1.191439, Time  0.439290
2021-09-27 21:41:35.993203 : Epoch 10, Batch    689, Loss  1.186622, Average Loss  1.191413, Time  0.446963
2021-09-27 21:41:41.447737 : Epoch 10, Batch    690, Loss  1.185578, Average Loss  1.191437, Time  0.439343
2021-09-27 21:41:47.189242 : Epoch 10, Batch    691, Loss  1.193756, Average Loss  1.191422, Time  0.439631
2021-09-27 21:41:52.938166 : Epoch 10, Batch    692, Loss  1.195370, Average Loss  1.191387, Time  0.439919
2021-09-27 21:41:58.697024 : Epoch 10, Batch    693, Loss  1.189294, Average Loss  1.191363, Time  0.439095
2021-09-27 21:42:04.457340 : Epoch 10, Batch    694, Loss  1.183590, Average Loss  1.191242, Time  0.439673
2021-09-27 21:42:09.969402 : Epoch 10, Batch    695, Loss  1.191062, Average Loss  1.191276, Time  0.438171
2021-09-27 21:42:15.484838 : Epoch 10, Batch    696, Loss  1.204588, Average Loss  1.191326, Time  0.438637
2021-09-27 21:42:21.084572 : Epoch 10, Batch    697, Loss  1.186974, Average Loss  1.191377, Time  0.451779
2021-09-27 21:42:26.817206 : Epoch 10, Batch    698, Loss  1.210003, Average Loss  1.191365, Time  0.438866
2021-09-27 21:42:32.569107 : Epoch 10, Batch    699, Loss  1.189317, Average Loss  1.191377, Time  0.438313
2021-09-27 21:42:38.004265 : Epoch 10, Batch    700, Loss  1.191116, Average Loss  1.191424, Time  0.437587
2021-09-27 21:42:43.615631 : Epoch 10, Batch    701, Loss  1.188202, Average Loss  1.191316, Time  0.440538
2021-09-27 21:42:49.197389 : Epoch 10, Batch    702, Loss  1.193131, Average Loss  1.191314, Time  0.435509
2021-09-27 21:42:54.639524 : Epoch 10, Batch    703, Loss  1.186088, Average Loss  1.191296, Time  0.439568
2021-09-27 21:43:00.231075 : Epoch 10, Batch    704, Loss  1.201111, Average Loss  1.191279, Time  0.438272
2021-09-27 21:43:05.793724 : Epoch 10, Batch    705, Loss  1.167466, Average Loss  1.191210, Time  0.451148
2021-09-27 21:43:11.560996 : Epoch 10, Batch    706, Loss  1.202930, Average Loss  1.191241, Time  0.439061
2021-09-27 21:43:17.288945 : Epoch 10, Batch    707, Loss  1.187146, Average Loss  1.191212, Time  0.440401
2021-09-27 21:43:22.993936 : Epoch 10, Batch    708, Loss  1.186374, Average Loss  1.191208, Time  0.439139
2021-09-27 21:43:28.602392 : Epoch 10, Batch    709, Loss  1.207669, Average Loss  1.191308, Time  0.437494
2021-09-27 21:43:34.281815 : Epoch 10, Batch    710, Loss  1.197259, Average Loss  1.191353, Time  0.440158
2021-09-27 21:43:39.965833 : Epoch 10, Batch    711, Loss  1.198000, Average Loss  1.191381, Time  0.438594
2021-09-27 21:43:45.529541 : Epoch 10, Batch    712, Loss  1.177317, Average Loss  1.191364, Time  0.439759
2021-09-27 21:43:51.275356 : Epoch 10, Batch    713, Loss  1.178980, Average Loss  1.191232, Time  0.456400
2021-09-27 21:43:57.036841 : Epoch 10, Batch    714, Loss  1.202990, Average Loss  1.191282, Time  0.438882
2021-09-27 21:44:02.728334 : Epoch 10, Batch    715, Loss  1.207234, Average Loss  1.191397, Time  0.439342
2021-09-27 21:44:08.529605 : Epoch 10, Batch    716, Loss  1.177343, Average Loss  1.191210, Time  0.438402
2021-09-27 21:44:14.200653 : Epoch 10, Batch    717, Loss  1.177631, Average Loss  1.191130, Time  0.437682
2021-09-27 21:44:19.977834 : Epoch 10, Batch    718, Loss  1.182850, Average Loss  1.191047, Time  0.438855
2021-09-27 21:44:25.618523 : Epoch 10, Batch    719, Loss  1.179240, Average Loss  1.190919, Time  0.439973
2021-09-27 21:44:31.393447 : Epoch 10, Batch    720, Loss  1.196248, Average Loss  1.190909, Time  0.438694
2021-09-27 21:44:37.151237 : Epoch 10, Batch    721, Loss  1.197638, Average Loss  1.190966, Time  0.450635
2021-09-27 21:44:42.717925 : Epoch 10, Batch    722, Loss  1.201208, Average Loss  1.190953, Time  0.437996
2021-09-27 21:44:48.371522 : Epoch 10, Batch    723, Loss  1.209719, Average Loss  1.191134, Time  0.437819
2021-09-27 21:44:54.086847 : Epoch 10, Batch    724, Loss  1.203348, Average Loss  1.191204, Time  0.439450
2021-09-27 21:44:59.831309 : Epoch 10, Batch    725, Loss  1.205971, Average Loss  1.191328, Time  0.439147
2021-09-27 21:45:05.285664 : Epoch 10, Batch    726, Loss  1.194837, Average Loss  1.191254, Time  0.437284
2021-09-27 21:45:10.856108 : Epoch 10, Batch    727, Loss  1.193079, Average Loss  1.191309, Time  0.439426
2021-09-27 21:45:16.347957 : Epoch 10, Batch    728, Loss  1.197938, Average Loss  1.191342, Time  0.436378
2021-09-27 21:45:21.953385 : Epoch 10, Batch    729, Loss  1.170133, Average Loss  1.191312, Time  0.449046
2021-09-27 21:45:27.635765 : Epoch 10, Batch    730, Loss  1.164385, Average Loss  1.191231, Time  0.439070
2021-09-27 21:45:33.312553 : Epoch 10, Batch    731, Loss  1.212781, Average Loss  1.191272, Time  0.439577
2021-09-27 21:45:37.429575 : Epoch 10, Batch    732, Loss  1.173823, Average Loss  1.191221, Time  0.339194
2021-09-27 21:45:43.047334 : Epoch 10, Batch    733, Loss  1.193057, Average Loss  1.191194, Time  0.438715
2021-09-27 21:45:48.804870 : Epoch 10, Batch    734, Loss  1.182745, Average Loss  1.191194, Time  0.439778
2021-09-27 21:45:54.496507 : Epoch 10, Batch    735, Loss  1.194807, Average Loss  1.191094, Time  0.438858
2021-09-27 21:46:00.134887 : Epoch 10, Batch    736, Loss  1.210873, Average Loss  1.191190, Time  0.436500
2021-09-27 21:46:05.831945 : Epoch 10, Batch    737, Loss  1.189973, Average Loss  1.191231, Time  0.439034
2021-09-27 21:46:11.550384 : Epoch 10, Batch    738, Loss  1.192882, Average Loss  1.191226, Time  0.451740
2021-09-27 21:46:17.302374 : Epoch 10, Batch    739, Loss  1.176836, Average Loss  1.191118, Time  0.439096
2021-09-27 21:46:23.041968 : Epoch 10, Batch    740, Loss  1.205294, Average Loss  1.191186, Time  0.438749
2021-09-27 21:46:28.680005 : Epoch 10, Batch    741, Loss  1.192036, Average Loss  1.191243, Time  0.437646
2021-09-27 21:46:34.181348 : Epoch 10, Batch    742, Loss  1.184349, Average Loss  1.191170, Time  0.437515
2021-09-27 21:46:39.856990 : Epoch 10, Batch    743, Loss  1.206888, Average Loss  1.191180, Time  0.436650
2021-09-27 21:46:45.181208 : Epoch 10, Batch    744, Loss  1.192433, Average Loss  1.191269, Time  0.436746
2021-09-27 21:46:50.827358 : Epoch 10, Batch    745, Loss  1.206087, Average Loss  1.191411, Time  0.440095
2021-09-27 21:46:56.458087 : Epoch 10, Batch    746, Loss  1.190942, Average Loss  1.191421, Time  0.438153
2021-09-27 21:47:02.197486 : Epoch 10, Batch    747, Loss  1.188578, Average Loss  1.191380, Time  0.451860
2021-09-27 21:47:07.943928 : Epoch 10, Batch    748, Loss  1.188549, Average Loss  1.191376, Time  0.439257
2021-09-27 21:51:33.088973 : CheckPoint: Validation Loss  0.00020760, Best Loss  0.00020284
2021-09-27 21:51:38.775328 : Epoch 10, Batch    749, Loss  1.205655, Average Loss  1.191368, Time  0.438984
2021-09-27 21:51:44.418698 : Epoch 10, Batch    750, Loss  1.190574, Average Loss  1.191338, Time  0.438735
2021-09-27 21:51:50.161207 : Epoch 10, Batch    751, Loss  1.179899, Average Loss  1.191251, Time  0.450927
2021-09-27 21:51:55.839846 : Epoch 10, Batch    752, Loss  1.205860, Average Loss  1.191354, Time  0.439836
2021-09-27 21:52:01.583208 : Epoch 10, Batch    753, Loss  1.181998, Average Loss  1.191318, Time  0.440084
2021-09-27 21:52:07.272400 : Epoch 10, Batch    754, Loss  1.187960, Average Loss  1.191344, Time  0.440318
2021-09-27 21:52:12.959975 : Epoch 10, Batch    755, Loss  1.197463, Average Loss  1.191359, Time  0.439484
2021-09-27 21:52:18.676431 : Epoch 10, Batch    756, Loss  1.191745, Average Loss  1.191456, Time  0.436923
2021-09-27 21:52:24.163595 : Epoch 10, Batch    757, Loss  1.183306, Average Loss  1.191433, Time  0.437959
2021-09-27 21:52:29.827791 : Epoch 10, Batch    758, Loss  1.180857, Average Loss  1.191384, Time  0.439689
2021-09-27 21:52:35.557398 : Epoch 10, Batch    759, Loss  1.193655, Average Loss  1.191418, Time  0.453378
2021-09-27 21:52:41.268845 : Epoch 10, Batch    760, Loss  1.185793, Average Loss  1.191440, Time  0.438828
2021-09-27 21:52:46.978448 : Epoch 10, Batch    761, Loss  1.189390, Average Loss  1.191495, Time  0.439178
2021-09-27 21:52:52.688657 : Epoch 10, Batch    762, Loss  1.186070, Average Loss  1.191501, Time  0.438852
2021-09-27 21:52:58.338313 : Epoch 10, Batch    763, Loss  1.187627, Average Loss  1.191374, Time  0.439190
2021-09-27 21:53:04.004158 : Epoch 10, Batch    764, Loss  1.207392, Average Loss  1.191465, Time  0.438892
2021-09-27 21:53:09.531638 : Epoch 10, Batch    765, Loss  1.193412, Average Loss  1.191486, Time  0.436249
2021-09-27 21:53:15.019828 : Epoch 10, Batch    766, Loss  1.202377, Average Loss  1.191487, Time  0.436496
2021-09-27 21:53:20.677137 : Epoch 10, Batch    767, Loss  1.185006, Average Loss  1.191572, Time  0.454262
2021-09-27 21:53:26.256006 : Epoch 10, Batch    768, Loss  1.185555, Average Loss  1.191514, Time  0.439198
2021-09-27 21:53:31.754472 : Epoch 10, Batch    769, Loss  1.181850, Average Loss  1.191562, Time  0.439644
2021-09-27 21:53:37.206903 : Epoch 10, Batch    770, Loss  1.181557, Average Loss  1.191538, Time  0.438776
2021-09-27 21:53:42.809455 : Epoch 10, Batch    771, Loss  1.204035, Average Loss  1.191553, Time  0.438073
2021-09-27 21:53:48.323931 : Epoch 10, Batch    772, Loss  1.205732, Average Loss  1.191671, Time  0.437603
2021-09-27 21:53:54.004861 : Epoch 10, Batch    773, Loss  1.177859, Average Loss  1.191540, Time  0.439446
2021-09-27 21:53:59.676761 : Epoch 10, Batch    774, Loss  1.219299, Average Loss  1.191625, Time  0.439853
2021-09-27 21:54:05.418754 : Epoch 10, Batch    775, Loss  1.194398, Average Loss  1.191663, Time  0.438975
2021-09-27 21:54:11.124014 : Epoch 10, Batch    776, Loss  1.183573, Average Loss  1.191596, Time  0.457391
2021-09-27 21:54:16.840304 : Epoch 10, Batch    777, Loss  1.182843, Average Loss  1.191486, Time  0.439552
2021-09-27 21:54:22.493971 : Epoch 10, Batch    778, Loss  1.204152, Average Loss  1.191561, Time  0.439443
2021-09-27 21:54:28.130126 : Epoch 10, Batch    779, Loss  1.201520, Average Loss  1.191617, Time  0.439212
2021-09-27 21:54:33.817465 : Epoch 10, Batch    780, Loss  1.182474, Average Loss  1.191629, Time  0.438907
2021-09-27 21:54:39.230689 : Epoch 10, Batch    781, Loss  1.196143, Average Loss  1.191722, Time  0.436323
2021-09-27 21:54:44.665839 : Epoch 10, Batch    782, Loss  1.199530, Average Loss  1.191757, Time  0.438109
2021-09-27 21:54:50.305165 : Epoch 10, Batch    783, Loss  1.202861, Average Loss  1.191841, Time  0.436517
2021-09-27 21:54:55.964451 : Epoch 10, Batch    784, Loss  1.182281, Average Loss  1.191785, Time  0.452264
2021-09-27 21:55:01.653277 : Epoch 10, Batch    785, Loss  1.185558, Average Loss  1.191761, Time  0.439152
2021-09-27 21:55:07.378791 : Epoch 10, Batch    786, Loss  1.184245, Average Loss  1.191729, Time  0.438584
2021-09-27 21:55:13.045119 : Epoch 10, Batch    787, Loss  1.189910, Average Loss  1.191769, Time  0.439029
2021-09-27 21:55:18.611736 : Epoch 10, Batch    788, Loss  1.199753, Average Loss  1.191799, Time  0.438944
2021-09-27 21:55:24.251875 : Epoch 10, Batch    789, Loss  1.190550, Average Loss  1.191811, Time  0.439338
2021-09-27 21:55:29.983808 : Epoch 10, Batch    790, Loss  1.191268, Average Loss  1.191805, Time  0.439507
2021-09-27 21:55:35.690301 : Epoch 10, Batch    791, Loss  1.195869, Average Loss  1.191823, Time  0.439496
2021-09-27 21:55:41.411279 : Epoch 10, Batch    792, Loss  1.180137, Average Loss  1.191752, Time  0.454581
2021-09-27 21:55:47.016787 : Epoch 10, Batch    793, Loss  1.198699, Average Loss  1.191838, Time  0.438398
2021-09-27 21:55:52.779489 : Epoch 10, Batch    794, Loss  1.207476, Average Loss  1.191890, Time  0.442159
2021-09-27 21:55:58.682108 : Epoch 10, Batch    795, Loss  1.179309, Average Loss  1.191801, Time  0.439421
2021-09-27 21:56:04.583715 : Epoch 10, Batch    796, Loss  1.179384, Average Loss  1.191741, Time  0.439108
2021-09-27 21:56:10.456253 : Epoch 10, Batch    797, Loss  1.201758, Average Loss  1.191801, Time  0.438634
2021-09-27 21:56:16.337741 : Epoch 10, Batch    798, Loss  1.175450, Average Loss  1.191738, Time  0.438479
2021-09-27 21:56:22.228799 : Epoch 10, Batch    799, Loss  1.194356, Average Loss  1.191815, Time  0.438616
2021-09-27 21:56:28.122837 : Epoch 10, Batch    800, Loss  1.186350, Average Loss  1.191764, Time  0.449160
2021-09-27 21:56:34.036850 : Epoch 10, Batch    801, Loss  1.200644, Average Loss  1.191753, Time  0.438792
2021-09-27 21:56:39.920005 : Epoch 10, Batch    802, Loss  1.192490, Average Loss  1.191735, Time  0.439897
2021-09-27 21:56:45.829675 : Epoch 10, Batch    803, Loss  1.205327, Average Loss  1.191700, Time  0.438584
2021-09-27 21:56:51.736932 : Epoch 10, Batch    804, Loss  1.187825, Average Loss  1.191748, Time  0.438834
2021-09-27 21:56:57.214141 : Epoch 10, Batch    805, Loss  1.195752, Average Loss  1.191744, Time  0.435866
2021-09-27 21:57:02.503096 : Epoch 10, Batch    806, Loss  1.179225, Average Loss  1.191703, Time  0.437469
2021-09-27 21:57:07.864343 : Epoch 10, Batch    807, Loss  1.195291, Average Loss  1.191761, Time  0.435227
2021-09-27 21:57:13.146275 : Epoch 10, Batch    808, Loss  1.188506, Average Loss  1.191763, Time  0.449103
2021-09-27 21:57:18.481758 : Epoch 10, Batch    809, Loss  1.185682, Average Loss  1.191759, Time  0.435460
2021-09-27 21:57:23.856016 : Epoch 10, Batch    810, Loss  1.199203, Average Loss  1.191742, Time  0.435567
2021-09-27 21:57:29.148767 : Epoch 10, Batch    811, Loss  1.203190, Average Loss  1.191731, Time  0.435028
2021-09-27 21:57:34.441728 : Epoch 10, Batch    812, Loss  1.196499, Average Loss  1.191769, Time  0.435709
2021-09-27 21:57:39.696038 : Epoch 10, Batch    813, Loss  1.199038, Average Loss  1.191776, Time  0.435630
2021-09-27 21:57:44.953077 : Epoch 10, Batch    814, Loss  1.190630, Average Loss  1.191747, Time  0.435015
2021-09-27 21:57:50.210959 : Epoch 10, Batch    815, Loss  1.192790, Average Loss  1.191795, Time  0.435710
2021-09-27 21:57:55.477374 : Epoch 10, Batch    816, Loss  1.197072, Average Loss  1.191826, Time  0.435794
2021-09-27 21:58:00.763347 : Epoch 10, Batch    817, Loss  1.204570, Average Loss  1.191909, Time  0.450189
2021-09-27 21:58:06.017254 : Epoch 10, Batch    818, Loss  1.182269, Average Loss  1.191847, Time  0.435672
2021-09-27 21:58:11.300774 : Epoch 10, Batch    819, Loss  1.199282, Average Loss  1.191891, Time  0.436138
2021-09-27 21:58:16.781652 : Epoch 10, Batch    820, Loss  1.196580, Average Loss  1.191909, Time  0.435683
2021-09-27 21:58:22.110857 : Epoch 10, Batch    821, Loss  1.185474, Average Loss  1.191892, Time  0.438072
2021-09-27 21:58:27.393069 : Epoch 10, Batch    822, Loss  1.217153, Average Loss  1.192031, Time  0.435439
2021-09-27 21:58:32.679247 : Epoch 10, Batch    823, Loss  1.184047, Average Loss  1.191910, Time  0.437614
2021-09-27 21:58:38.017693 : Epoch 10, Batch    824, Loss  1.195879, Average Loss  1.191973, Time  0.435738
2021-09-27 21:58:43.279724 : Epoch 10, Batch    825, Loss  1.208209, Average Loss  1.192072, Time  0.435760
2021-09-27 21:58:48.567554 : Epoch 10, Batch    826, Loss  1.198716, Average Loss  1.192160, Time  0.449982
2021-09-27 21:58:53.880683 : Epoch 10, Batch    827, Loss  1.205463, Average Loss  1.192238, Time  0.435930
2021-09-27 21:58:59.255893 : Epoch 10, Batch    828, Loss  1.187122, Average Loss  1.192268, Time  0.438288
2021-09-27 21:59:04.596145 : Epoch 10, Batch    829, Loss  1.197532, Average Loss  1.192295, Time  0.436426
2021-09-27 21:59:10.180834 : Epoch 10, Batch    830, Loss  1.206252, Average Loss  1.192378, Time  0.440460
2021-09-27 21:59:16.097813 : Epoch 10, Batch    831, Loss  1.218532, Average Loss  1.192561, Time  0.441194
2021-09-27 21:59:22.011356 : Epoch 10, Batch    832, Loss  1.185944, Average Loss  1.192595, Time  0.440711
2021-09-27 21:59:27.921154 : Epoch 10, Batch    833, Loss  1.196601, Average Loss  1.192644, Time  0.439034
2021-09-27 21:59:33.852733 : Epoch 10, Batch    834, Loss  1.201908, Average Loss  1.192739, Time  0.455178
2021-09-27 21:59:39.767745 : Epoch 10, Batch    835, Loss  1.186640, Average Loss  1.192715, Time  0.440286
2021-09-27 21:59:45.684443 : Epoch 10, Batch    836, Loss  1.191209, Average Loss  1.192721, Time  0.439912
2021-09-27 21:59:51.589796 : Epoch 10, Batch    837, Loss  1.192018, Average Loss  1.192714, Time  0.439402
2021-09-27 21:59:57.505811 : Epoch 10, Batch    838, Loss  1.201387, Average Loss  1.192818, Time  0.439256
2021-09-27 22:00:03.417476 : Epoch 10, Batch    839, Loss  1.199937, Average Loss  1.192837, Time  0.441633
2021-09-27 22:00:09.327638 : Epoch 10, Batch    840, Loss  1.197871, Average Loss  1.192802, Time  0.439859
2021-09-27 22:00:15.237761 : Epoch 10, Batch    841, Loss  1.192838, Average Loss  1.192901, Time  0.439249
2021-09-27 22:00:21.168834 : Epoch 10, Batch    842, Loss  1.182671, Average Loss  1.192858, Time  0.454384
2021-09-27 22:00:27.068113 : Epoch 10, Batch    843, Loss  1.193816, Average Loss  1.192843, Time  0.441283
2021-09-27 22:00:32.988380 : Epoch 10, Batch    844, Loss  1.183069, Average Loss  1.192815, Time  0.442817
2021-09-27 22:00:38.901918 : Epoch 10, Batch    845, Loss  1.196912, Average Loss  1.192859, Time  0.440358
2021-09-27 22:00:44.879311 : Epoch 10, Batch    846, Loss  1.188919, Average Loss  1.192871, Time  0.438857
2021-09-27 22:00:50.802056 : Epoch 10, Batch    847, Loss  1.199637, Average Loss  1.193003, Time  0.439217
2021-09-27 22:00:56.690373 : Epoch 10, Batch    848, Loss  1.213746, Average Loss  1.193145, Time  0.441112
2021-09-27 22:05:33.110294 : CheckPoint: Validation Loss  0.00020761, Best Loss  0.00020284
2021-09-27 22:05:39.006140 : Epoch 10, Batch    849, Loss  1.183641, Average Loss  1.193144, Time  0.438393
2021-09-27 22:05:44.918335 : Epoch 10, Batch    850, Loss  1.178146, Average Loss  1.193091, Time  0.456560
2021-09-27 22:05:50.800139 : Epoch 10, Batch    851, Loss  1.182816, Average Loss  1.193090, Time  0.439913
2021-09-27 22:05:56.695812 : Epoch 10, Batch    852, Loss  1.181874, Average Loss  1.193069, Time  0.440220
2021-09-27 22:06:02.597518 : Epoch 10, Batch    853, Loss  1.170598, Average Loss  1.192952, Time  0.438580
2021-09-27 22:06:08.494187 : Epoch 10, Batch    854, Loss  1.208151, Average Loss  1.193021, Time  0.439891
2021-09-27 22:06:14.387513 : Epoch 10, Batch    855, Loss  1.190759, Average Loss  1.193051, Time  0.438880
2021-09-27 22:06:20.277791 : Epoch 10, Batch    856, Loss  1.186196, Average Loss  1.193023, Time  0.439329
2021-09-27 22:06:26.166841 : Epoch 10, Batch    857, Loss  1.195965, Average Loss  1.192971, Time  0.439361
2021-09-27 22:06:32.070894 : Epoch 10, Batch    858, Loss  1.183827, Average Loss  1.192986, Time  0.448197
2021-09-27 22:06:37.985573 : Epoch 10, Batch    859, Loss  1.185752, Average Loss  1.192990, Time  0.442227
2021-09-27 22:06:43.887255 : Epoch 10, Batch    860, Loss  1.183078, Average Loss  1.192926, Time  0.440698
2021-09-27 22:06:49.796264 : Epoch 10, Batch    861, Loss  1.183746, Average Loss  1.192954, Time  0.439391
2021-09-27 22:06:55.690789 : Epoch 10, Batch    862, Loss  1.196922, Average Loss  1.192948, Time  0.444053
2021-09-27 22:07:01.583241 : Epoch 10, Batch    863, Loss  1.187766, Average Loss  1.192924, Time  0.443800
2021-09-27 22:07:07.474899 : Epoch 10, Batch    864, Loss  1.199550, Average Loss  1.192839, Time  0.439872
2021-09-27 22:07:13.360028 : Epoch 10, Batch    865, Loss  1.194877, Average Loss  1.192861, Time  0.442349
2021-09-27 22:07:19.274852 : Epoch 10, Batch    866, Loss  1.201581, Average Loss  1.192800, Time  0.458062
2021-09-27 22:07:25.176242 : Epoch 10, Batch    867, Loss  1.188864, Average Loss  1.192741, Time  0.440517
2021-09-27 22:07:31.096384 : Epoch 10, Batch    868, Loss  1.194303, Average Loss  1.192748, Time  0.443284
2021-09-27 22:07:36.997692 : Epoch 10, Batch    869, Loss  1.177578, Average Loss  1.192699, Time  0.445570
2021-09-27 22:07:42.895689 : Epoch 10, Batch    870, Loss  1.194225, Average Loss  1.192778, Time  0.439881
2021-09-27 22:07:48.791396 : Epoch 10, Batch    871, Loss  1.213030, Average Loss  1.192786, Time  0.439296
2021-09-27 22:07:54.678543 : Epoch 10, Batch    872, Loss  1.185614, Average Loss  1.192836, Time  0.440015
2021-09-27 22:08:00.573233 : Epoch 10, Batch    873, Loss  1.182810, Average Loss  1.192719, Time  0.439453
2021-09-27 22:08:06.488442 : Epoch 10, Batch    874, Loss  1.194698, Average Loss  1.192735, Time  0.449097
2021-09-27 22:08:12.382904 : Epoch 10, Batch    875, Loss  1.204341, Average Loss  1.192814, Time  0.440373
2021-09-27 22:08:18.269279 : Epoch 10, Batch    876, Loss  1.189755, Average Loss  1.192836, Time  0.439079
2021-09-27 22:08:24.157895 : Epoch 10, Batch    877, Loss  1.198738, Average Loss  1.192767, Time  0.441344
2021-09-27 22:08:30.061290 : Epoch 10, Batch    878, Loss  1.190630, Average Loss  1.192737, Time  0.441011
2021-09-27 22:08:35.948979 : Epoch 10, Batch    879, Loss  1.187111, Average Loss  1.192687, Time  0.441648
2021-09-27 22:08:41.834936 : Epoch 10, Batch    880, Loss  1.207628, Average Loss  1.192797, Time  0.438725
2021-09-27 22:08:47.739967 : Epoch 10, Batch    881, Loss  1.199613, Average Loss  1.192772, Time  0.440992
2021-09-27 22:08:53.647795 : Epoch 10, Batch    882, Loss  1.205054, Average Loss  1.192816, Time  0.450372
2021-09-27 22:08:59.546775 : Epoch 10, Batch    883, Loss  1.194882, Average Loss  1.192771, Time  0.438393
2021-09-27 22:09:05.432723 : Epoch 10, Batch    884, Loss  1.185279, Average Loss  1.192690, Time  0.439232
2021-09-27 22:09:11.336309 : Epoch 10, Batch    885, Loss  1.193316, Average Loss  1.192632, Time  0.440665
2021-09-27 22:09:17.231781 : Epoch 10, Batch    886, Loss  1.185072, Average Loss  1.192579, Time  0.438660
2021-09-27 22:09:23.139868 : Epoch 10, Batch    887, Loss  1.186003, Average Loss  1.192608, Time  0.441417
2021-09-27 22:09:29.040844 : Epoch 10, Batch    888, Loss  1.200387, Average Loss  1.192705, Time  0.440552
2021-09-27 22:09:34.947754 : Epoch 10, Batch    889, Loss  1.193075, Average Loss  1.192737, Time  0.445021
2021-09-27 22:09:40.863852 : Epoch 10, Batch    890, Loss  1.193546, Average Loss  1.192777, Time  0.453685
2021-09-27 22:09:46.753167 : Epoch 10, Batch    891, Loss  1.191651, Average Loss  1.192766, Time  0.439574
2021-09-27 22:09:52.640210 : Epoch 10, Batch    892, Loss  1.203774, Average Loss  1.192808, Time  0.439438
2021-09-27 22:09:58.524038 : Epoch 10, Batch    893, Loss  1.189709, Average Loss  1.192811, Time  0.439581
2021-09-27 22:10:04.405755 : Epoch 10, Batch    894, Loss  1.180106, Average Loss  1.192793, Time  0.438588
2021-09-27 22:10:10.300851 : Epoch 10, Batch    895, Loss  1.196832, Average Loss  1.192822, Time  0.440346
2021-09-27 22:10:16.180200 : Epoch 10, Batch    896, Loss  1.191426, Average Loss  1.192756, Time  0.438876
2021-09-27 22:10:22.085662 : Epoch 10, Batch    897, Loss  1.194847, Average Loss  1.192796, Time  0.442406
2021-09-27 22:10:27.991747 : Epoch 10, Batch    898, Loss  1.185476, Average Loss  1.192673, Time  0.453831
2021-09-27 22:10:33.881860 : Epoch 10, Batch    899, Loss  1.182872, Average Loss  1.192641, Time  0.439014
2021-09-27 22:10:39.773283 : Epoch 10, Batch    900, Loss  1.200998, Average Loss  1.192690, Time  0.444448
2021-09-27 22:10:45.664393 : Epoch 10, Batch    901, Loss  1.185792, Average Loss  1.192678, Time  0.443443
2021-09-27 22:10:51.548786 : Epoch 10, Batch    902, Loss  1.204295, Average Loss  1.192734, Time  0.439169
2021-09-27 22:10:57.445207 : Epoch 10, Batch    903, Loss  1.197722, Average Loss  1.192792, Time  0.442331
2021-09-27 22:11:03.340793 : Epoch 10, Batch    904, Loss  1.200197, Average Loss  1.192787, Time  0.439526
2021-09-27 22:11:09.250469 : Epoch 10, Batch    905, Loss  1.170822, Average Loss  1.192804, Time  0.441894
2021-09-27 22:11:15.150758 : Epoch 10, Batch    906, Loss  1.193285, Average Loss  1.192756, Time  0.450914
2021-09-27 22:11:21.027177 : Epoch 10, Batch    907, Loss  1.176567, Average Loss  1.192703, Time  0.438964
2021-09-27 22:11:26.905102 : Epoch 10, Batch    908, Loss  1.183489, Average Loss  1.192689, Time  0.439159
2021-09-27 22:11:32.797477 : Epoch 10, Batch    909, Loss  1.206657, Average Loss  1.192684, Time  0.441849
2021-09-27 22:11:38.679520 : Epoch 10, Batch    910, Loss  1.194626, Average Loss  1.192670, Time  0.440846
2021-09-27 22:11:44.584047 : Epoch 10, Batch    911, Loss  1.194995, Average Loss  1.192655, Time  0.438976
2021-09-27 22:11:50.471910 : Epoch 10, Batch    912, Loss  1.193861, Average Loss  1.192738, Time  0.439809
2021-09-27 22:11:56.352471 : Epoch 10, Batch    913, Loss  1.193963, Average Loss  1.192813, Time  0.440983
2021-09-27 22:12:02.259903 : Epoch 10, Batch    914, Loss  1.203832, Average Loss  1.192817, Time  0.451041
2021-09-27 22:12:08.145524 : Epoch 10, Batch    915, Loss  1.191650, Average Loss  1.192739, Time  0.440516
2021-09-27 22:12:14.022236 : Epoch 10, Batch    916, Loss  1.177405, Average Loss  1.192740, Time  0.439499
2021-09-27 22:12:19.907806 : Epoch 10, Batch    917, Loss  1.212842, Average Loss  1.192916, Time  0.439445
2021-09-27 22:12:25.786276 : Epoch 10, Batch    918, Loss  1.191858, Average Loss  1.192961, Time  0.438450
2021-09-27 22:12:31.665177 : Epoch 10, Batch    919, Loss  1.178942, Average Loss  1.192959, Time  0.438275
2021-09-27 22:12:37.559122 : Epoch 10, Batch    920, Loss  1.199938, Average Loss  1.192978, Time  0.443737
2021-09-27 22:12:43.450039 : Epoch 10, Batch    921, Loss  1.172759, Average Loss  1.192853, Time  0.440372
2021-09-27 22:12:49.349117 : Epoch 10, Batch    922, Loss  1.198307, Average Loss  1.192839, Time  0.453308
2021-09-27 22:12:55.241790 : Epoch 10, Batch    923, Loss  1.180470, Average Loss  1.192693, Time  0.440267
2021-09-27 22:13:01.134972 : Epoch 10, Batch    924, Loss  1.188581, Average Loss  1.192619, Time  0.441339
2021-09-27 22:13:07.044803 : Epoch 10, Batch    925, Loss  1.196689, Average Loss  1.192572, Time  0.439914
2021-09-27 22:13:12.933890 : Epoch 10, Batch    926, Loss  1.196476, Average Loss  1.192581, Time  0.440275
2021-09-27 22:13:18.839836 : Epoch 10, Batch    927, Loss  1.190230, Average Loss  1.192566, Time  0.442047
2021-09-27 22:13:24.738923 : Epoch 10, Batch    928, Loss  1.207310, Average Loss  1.192613, Time  0.439898
2021-09-27 22:13:24.776548 : Saving Model after 10-th Epoch.
2021-09-27 22:13:25.603204 : Epoch Finished.
2021-09-28 15:40:07.231268 : Building dataset train from orignial text documents
2021-09-28 15:43:22.496077 : Finish Loading dataset train
2021-09-28 15:43:22.540637 : Data Shuffle
2021-09-28 15:43:22.565431 : Start Shuffling
2021-09-28 15:43:23.869737 : Finish Shuffling
2021-09-28 15:43:23.955656 : Generate Batch
2021-09-28 15:43:24.329659 : Building dataset valid from orignial text documents
2021-09-28 15:43:33.169139 : Finish Loading dataset valid
2021-09-28 15:43:33.212655 : Data Shuffle
2021-09-28 15:43:33.226222 : Start Shuffling
2021-09-28 15:43:33.298185 : Finish Shuffling
2021-09-28 15:43:33.324897 : Generate Batch
2021-09-28 15:43:33.363135 : There are 928 batches per epoch
2021-09-28 15:43:33.382512 : Batch Shuffled
2021-09-28 15:43:39.575699 : Epoch  1, Batch      1, Loss  1.887383, Average Loss  1.887383, Time  0.660662
2021-09-28 15:43:45.551903 : Epoch  1, Batch      2, Loss  1.889996, Average Loss  1.888689, Time  0.455732
2021-09-28 15:43:51.526441 : Epoch  1, Batch      3, Loss  1.886270, Average Loss  1.887883, Time  0.445594
2021-09-28 15:43:57.512287 : Epoch  1, Batch      4, Loss  1.892654, Average Loss  1.889076, Time  0.446436
2021-09-28 15:44:03.491825 : Epoch  1, Batch      5, Loss  1.886046, Average Loss  1.888470, Time  0.447860
2021-09-28 15:44:09.450836 : Epoch  1, Batch      6, Loss  1.882847, Average Loss  1.887533, Time  0.446687
2021-09-28 15:44:15.437577 : Epoch  1, Batch      7, Loss  1.875397, Average Loss  1.885799, Time  0.446481
2021-09-28 15:44:21.413836 : Epoch  1, Batch      8, Loss  1.868038, Average Loss  1.883579, Time  0.447503
2021-09-28 15:44:27.412657 : Epoch  1, Batch      9, Loss  1.861606, Average Loss  1.881137, Time  0.450693
2021-09-28 15:44:33.392784 : Epoch  1, Batch     10, Loss  1.856110, Average Loss  1.878635, Time  0.460768
2021-09-28 15:44:39.359876 : Epoch  1, Batch     11, Loss  1.849766, Average Loss  1.876010, Time  0.446998
2021-09-28 15:44:45.327322 : Epoch  1, Batch     12, Loss  1.839695, Average Loss  1.872984, Time  0.447471
2021-09-28 15:44:51.321864 : Epoch  1, Batch     13, Loss  1.835917, Average Loss  1.870133, Time  0.445109
2021-09-28 15:44:57.266984 : Epoch  1, Batch     14, Loss  1.816182, Average Loss  1.866279, Time  0.446156
2021-09-28 15:45:03.242314 : Epoch  1, Batch     15, Loss  1.806904, Average Loss  1.862321, Time  0.447522
2021-09-28 15:45:09.228851 : Epoch  1, Batch     16, Loss  1.802445, Average Loss  1.858579, Time  0.448266
2021-09-28 15:45:15.193708 : Epoch  1, Batch     17, Loss  1.793468, Average Loss  1.854749, Time  0.446875
2021-09-28 15:45:21.171007 : Epoch  1, Batch     18, Loss  1.783018, Average Loss  1.850763, Time  0.456986
2021-09-28 15:45:27.136602 : Epoch  1, Batch     19, Loss  1.771826, Average Loss  1.846609, Time  0.446836
2021-09-28 15:45:33.119873 : Epoch  1, Batch     20, Loss  1.767371, Average Loss  1.842647, Time  0.448095
2021-09-28 15:45:39.091591 : Epoch  1, Batch     21, Loss  1.754391, Average Loss  1.838444, Time  0.446774
2021-09-28 15:45:45.051683 : Epoch  1, Batch     22, Loss  1.743870, Average Loss  1.834145, Time  0.445602
2021-09-28 15:45:51.020169 : Epoch  1, Batch     23, Loss  1.741185, Average Loss  1.830104, Time  0.445845
2021-09-28 15:45:57.012219 : Epoch  1, Batch     24, Loss  1.728692, Average Loss  1.825878, Time  0.448537
2021-09-28 15:46:02.995468 : Epoch  1, Batch     25, Loss  1.730804, Average Loss  1.822075, Time  0.462390
2021-09-28 15:46:08.983839 : Epoch  1, Batch     26, Loss  1.721168, Average Loss  1.818194, Time  0.451190
2021-09-28 15:46:14.979726 : Epoch  1, Batch     27, Loss  1.717762, Average Loss  1.814474, Time  0.446239
2021-09-28 15:46:20.950781 : Epoch  1, Batch     28, Loss  1.717434, Average Loss  1.811009, Time  0.446918
2021-09-28 15:46:26.925715 : Epoch  1, Batch     29, Loss  1.717954, Average Loss  1.807800, Time  0.446137
2021-09-28 15:46:32.906743 : Epoch  1, Batch     30, Loss  1.708503, Average Loss  1.804490, Time  0.446252
2021-09-28 15:46:38.873369 : Epoch  1, Batch     31, Loss  1.701963, Average Loss  1.801183, Time  0.446457
2021-09-28 15:46:44.838568 : Epoch  1, Batch     32, Loss  1.697488, Average Loss  1.797942, Time  0.446049
2021-09-28 15:46:50.818250 : Epoch  1, Batch     33, Loss  1.700583, Average Loss  1.794992, Time  0.463408
2021-09-28 15:46:56.777200 : Epoch  1, Batch     34, Loss  1.701395, Average Loss  1.792239, Time  0.446693
2021-09-28 15:47:02.763652 : Epoch  1, Batch     35, Loss  1.698878, Average Loss  1.789572, Time  0.448723
2021-09-28 15:47:08.741463 : Epoch  1, Batch     36, Loss  1.684431, Average Loss  1.786651, Time  0.447402
2021-09-28 15:47:14.721821 : Epoch  1, Batch     37, Loss  1.690455, Average Loss  1.784051, Time  0.448613
2021-09-28 15:47:20.710125 : Epoch  1, Batch     38, Loss  1.683538, Average Loss  1.781406, Time  0.446349
2021-09-28 15:47:26.703762 : Epoch  1, Batch     39, Loss  1.682521, Average Loss  1.778871, Time  0.447706
2021-09-28 15:47:32.679824 : Epoch  1, Batch     40, Loss  1.685130, Average Loss  1.776527, Time  0.455161
2021-09-28 15:47:38.664036 : Epoch  1, Batch     41, Loss  1.678175, Average Loss  1.774128, Time  0.452252
2021-09-28 15:47:44.629938 : Epoch  1, Batch     42, Loss  1.667527, Average Loss  1.771590, Time  0.446742
2021-09-28 15:47:50.588220 : Epoch  1, Batch     43, Loss  1.679915, Average Loss  1.769458, Time  0.445340
2021-09-28 15:47:56.549812 : Epoch  1, Batch     44, Loss  1.675373, Average Loss  1.767320, Time  0.446769
2021-09-28 15:48:02.528956 : Epoch  1, Batch     45, Loss  1.667280, Average Loss  1.765097, Time  0.452889
2021-09-28 15:48:08.485512 : Epoch  1, Batch     46, Loss  1.677783, Average Loss  1.763199, Time  0.447313
2021-09-28 15:48:14.440976 : Epoch  1, Batch     47, Loss  1.673626, Average Loss  1.761293, Time  0.447413
2021-09-28 15:48:20.429284 : Epoch  1, Batch     48, Loss  1.665811, Average Loss  1.759304, Time  0.458593
2021-09-28 15:48:26.398276 : Epoch  1, Batch     49, Loss  1.669336, Average Loss  1.757468, Time  0.446749
2021-09-28 15:48:32.348899 : Epoch  1, Batch     50, Loss  1.675416, Average Loss  1.755827, Time  0.446651
2021-09-28 15:48:38.312067 : Epoch  1, Batch     51, Loss  1.667318, Average Loss  1.754091, Time  0.448472
2021-09-28 15:48:44.289813 : Epoch  1, Batch     52, Loss  1.671415, Average Loss  1.752501, Time  0.445659
2021-09-28 15:48:50.220006 : Epoch  1, Batch     53, Loss  1.671215, Average Loss  1.750967, Time  0.446609
2021-09-28 15:48:56.191861 : Epoch  1, Batch     54, Loss  1.671252, Average Loss  1.749491, Time  0.446725
2021-09-28 15:49:02.152331 : Epoch  1, Batch     55, Loss  1.664612, Average Loss  1.747948, Time  0.448971
2021-09-28 15:49:08.121390 : Epoch  1, Batch     56, Loss  1.662335, Average Loss  1.746419, Time  0.453954
2021-09-28 15:49:14.089283 : Epoch  1, Batch     57, Loss  1.670636, Average Loss  1.745090, Time  0.447310
2021-09-28 15:49:20.049810 : Epoch  1, Batch     58, Loss  1.665171, Average Loss  1.743712, Time  0.449642
2021-09-28 15:49:26.023233 : Epoch  1, Batch     59, Loss  1.667928, Average Loss  1.742427, Time  0.447534
2021-09-28 15:49:31.992687 : Epoch  1, Batch     60, Loss  1.672440, Average Loss  1.741261, Time  0.445353
2021-09-28 15:49:37.972071 : Epoch  1, Batch     61, Loss  1.661921, Average Loss  1.739960, Time  0.446561
2021-09-28 15:49:43.936057 : Epoch  1, Batch     62, Loss  1.658956, Average Loss  1.738654, Time  0.444983
2021-09-28 15:49:49.910865 : Epoch  1, Batch     63, Loss  1.663472, Average Loss  1.737460, Time  0.459181
2021-09-28 15:49:55.875946 : Epoch  1, Batch     64, Loss  1.659259, Average Loss  1.736238, Time  0.446258
2021-09-28 15:50:01.852781 : Epoch  1, Batch     65, Loss  1.665253, Average Loss  1.735146, Time  0.448310
2021-09-28 15:50:07.826298 : Epoch  1, Batch     66, Loss  1.653633, Average Loss  1.733911, Time  0.447174
2021-09-28 15:50:13.781683 : Epoch  1, Batch     67, Loss  1.661602, Average Loss  1.732832, Time  0.446659
2021-09-28 15:50:19.768825 : Epoch  1, Batch     68, Loss  1.646610, Average Loss  1.731564, Time  0.448617
2021-09-28 15:50:25.746563 : Epoch  1, Batch     69, Loss  1.660314, Average Loss  1.730531, Time  0.445196
2021-09-28 15:50:31.699685 : Epoch  1, Batch     70, Loss  1.654628, Average Loss  1.729447, Time  0.446305
2021-09-28 15:50:37.683414 : Epoch  1, Batch     71, Loss  1.661884, Average Loss  1.728495, Time  0.455677
2021-09-28 15:50:43.643196 : Epoch  1, Batch     72, Loss  1.659492, Average Loss  1.727537, Time  0.448454
2021-09-28 15:50:49.622705 : Epoch  1, Batch     73, Loss  1.653545, Average Loss  1.726524, Time  0.445271
2021-09-28 15:50:55.590389 : Epoch  1, Batch     74, Loss  1.655002, Average Loss  1.725557, Time  0.447751
2021-09-28 15:51:01.558826 : Epoch  1, Batch     75, Loss  1.655670, Average Loss  1.724625, Time  0.447810
2021-09-28 15:51:07.536659 : Epoch  1, Batch     76, Loss  1.650838, Average Loss  1.723654, Time  0.451878
2021-09-28 15:51:13.497767 : Epoch  1, Batch     77, Loss  1.644305, Average Loss  1.722624, Time  0.445700
2021-09-28 15:51:19.481979 : Epoch  1, Batch     78, Loss  1.655451, Average Loss  1.721763, Time  0.447686
2021-09-28 15:51:25.458798 : Epoch  1, Batch     79, Loss  1.637006, Average Loss  1.720690, Time  0.456124
2021-09-28 15:51:31.412211 : Epoch  1, Batch     80, Loss  1.640148, Average Loss  1.719683, Time  0.445433
2021-09-28 15:51:37.382569 : Epoch  1, Batch     81, Loss  1.634261, Average Loss  1.718628, Time  0.447541
2021-09-28 15:51:43.338484 : Epoch  1, Batch     82, Loss  1.636133, Average Loss  1.717622, Time  0.447762
2021-09-28 15:51:49.310275 : Epoch  1, Batch     83, Loss  1.638519, Average Loss  1.716669, Time  0.449359
2021-09-28 15:51:55.272305 : Epoch  1, Batch     84, Loss  1.621577, Average Loss  1.715537, Time  0.447643
2021-09-28 15:52:01.244133 : Epoch  1, Batch     85, Loss  1.632949, Average Loss  1.714566, Time  0.452036
2021-09-28 15:52:07.215242 : Epoch  1, Batch     86, Loss  1.624829, Average Loss  1.713522, Time  0.447493
2021-09-28 15:52:13.210773 : Epoch  1, Batch     87, Loss  1.625551, Average Loss  1.712511, Time  0.460089
2021-09-28 15:52:19.205081 : Epoch  1, Batch     88, Loss  1.609924, Average Loss  1.711345, Time  0.446434
2021-09-28 15:52:25.184172 : Epoch  1, Batch     89, Loss  1.611849, Average Loss  1.710227, Time  0.449574
2021-09-28 15:52:31.158854 : Epoch  1, Batch     90, Loss  1.597649, Average Loss  1.708976, Time  0.447067
2021-09-28 15:52:37.118947 : Epoch  1, Batch     91, Loss  1.592474, Average Loss  1.707696, Time  0.449835
2021-09-28 15:52:43.072142 : Epoch  1, Batch     92, Loss  1.585915, Average Loss  1.706372, Time  0.446393
2021-09-28 15:52:49.038892 : Epoch  1, Batch     93, Loss  1.569661, Average Loss  1.704902, Time  0.447083
2021-09-28 15:52:55.000682 : Epoch  1, Batch     94, Loss  1.572770, Average Loss  1.703497, Time  0.457219
2021-09-28 15:53:00.960863 : Epoch  1, Batch     95, Loss  1.539556, Average Loss  1.701771, Time  0.447607
2021-09-28 15:53:06.924737 : Epoch  1, Batch     96, Loss  1.536941, Average Loss  1.700054, Time  0.447127
2021-09-28 15:53:12.931821 : Epoch  1, Batch     97, Loss  1.505732, Average Loss  1.698051, Time  0.446985
2021-09-28 15:53:18.903265 : Epoch  1, Batch     98, Loss  1.497820, Average Loss  1.696008, Time  0.446683
2021-09-28 15:53:24.863745 : Epoch  1, Batch     99, Loss  1.489951, Average Loss  1.693926, Time  0.446869
2021-09-28 15:53:30.824237 : Epoch  1, Batch    100, Loss  1.468428, Average Loss  1.691671, Time  0.447968
2021-09-28 15:58:16.466666 : CheckPoint: Validation Loss  0.00024897, Best Loss  0.00024897
2021-09-28 15:58:16.505633 : Best Model Updated
2021-09-28 15:58:23.419574 : Epoch  1, Batch    101, Loss  1.460107, Average Loss  1.689379, Time  0.458477
2021-09-28 15:58:29.398641 : Epoch  1, Batch    102, Loss  1.446495, Average Loss  1.686997, Time  0.445586
2021-09-28 15:58:35.398321 : Epoch  1, Batch    103, Loss  1.435383, Average Loss  1.684554, Time  0.445413
2021-09-28 15:58:41.388217 : Epoch  1, Batch    104, Loss  1.434805, Average Loss  1.682153, Time  0.446144
2021-09-28 15:58:47.390401 : Epoch  1, Batch    105, Loss  1.423815, Average Loss  1.679693, Time  0.449243
2021-09-28 15:58:53.348319 : Epoch  1, Batch    106, Loss  1.416113, Average Loss  1.677206, Time  0.446413
2021-09-28 15:58:59.281903 : Epoch  1, Batch    107, Loss  1.420702, Average Loss  1.674809, Time  0.446548
2021-09-28 15:59:05.234727 : Epoch  1, Batch    108, Loss  1.395328, Average Loss  1.672221, Time  0.455420
2021-09-28 15:59:11.239848 : Epoch  1, Batch    109, Loss  1.385510, Average Loss  1.669591, Time  0.448796
2021-09-28 15:59:17.196813 : Epoch  1, Batch    110, Loss  1.388464, Average Loss  1.667035, Time  0.446568
2021-09-28 15:59:23.181765 : Epoch  1, Batch    111, Loss  1.386516, Average Loss  1.664508, Time  0.448351
2021-09-28 15:59:29.210128 : Epoch  1, Batch    112, Loss  1.380751, Average Loss  1.661974, Time  0.447760
2021-09-28 15:59:35.213161 : Epoch  1, Batch    113, Loss  1.373182, Average Loss  1.659419, Time  0.445687
2021-09-28 15:59:41.182005 : Epoch  1, Batch    114, Loss  1.357348, Average Loss  1.656769, Time  0.450820
2021-09-28 15:59:47.137923 : Epoch  1, Batch    115, Loss  1.359574, Average Loss  1.654185, Time  0.446216
2021-09-28 15:59:53.110432 : Epoch  1, Batch    116, Loss  1.345827, Average Loss  1.651526, Time  0.460865
2021-09-28 15:59:59.074691 : Epoch  1, Batch    117, Loss  1.328242, Average Loss  1.648763, Time  0.447381
2021-09-28 16:00:05.038467 : Epoch  1, Batch    118, Loss  1.329495, Average Loss  1.646057, Time  0.445498
2021-09-28 16:00:10.999287 : Epoch  1, Batch    119, Loss  1.312503, Average Loss  1.643254, Time  0.446884
2021-09-28 16:00:16.992373 : Epoch  1, Batch    120, Loss  1.292811, Average Loss  1.640334, Time  0.448203
2021-09-28 16:00:22.938701 : Epoch  1, Batch    121, Loss  1.284282, Average Loss  1.637392, Time  0.448098
2021-09-28 16:00:28.889171 : Epoch  1, Batch    122, Loss  1.286075, Average Loss  1.634512, Time  0.451663
2021-09-28 16:00:34.865714 : Epoch  1, Batch    123, Loss  1.263820, Average Loss  1.631498, Time  0.467863
2021-09-28 16:00:40.824813 : Epoch  1, Batch    124, Loss  1.269217, Average Loss  1.628577, Time  0.445577
2021-09-28 16:00:46.802648 : Epoch  1, Batch    125, Loss  1.265129, Average Loss  1.625669, Time  0.447157
2021-09-28 16:00:52.816806 : Epoch  1, Batch    126, Loss  1.258739, Average Loss  1.622757, Time  0.446394
2021-09-28 16:00:58.801756 : Epoch  1, Batch    127, Loss  1.230416, Average Loss  1.619667, Time  0.445363
2021-09-28 16:01:04.769689 : Epoch  1, Batch    128, Loss  1.226574, Average Loss  1.616596, Time  0.446232
2021-09-28 16:01:10.712545 : Epoch  1, Batch    129, Loss  1.214745, Average Loss  1.613481, Time  0.445385
2021-09-28 16:01:16.642888 : Epoch  1, Batch    130, Loss  1.221188, Average Loss  1.610464, Time  0.447138
2021-09-28 16:01:22.601366 : Epoch  1, Batch    131, Loss  1.219381, Average Loss  1.607478, Time  0.457911
2021-09-28 16:01:28.550178 : Epoch  1, Batch    132, Loss  1.196612, Average Loss  1.604366, Time  0.452533
2021-09-28 16:01:34.510269 : Epoch  1, Batch    133, Loss  1.190099, Average Loss  1.601251, Time  0.447420
2021-09-28 16:01:40.470119 : Epoch  1, Batch    134, Loss  1.168117, Average Loss  1.598019, Time  0.446091
2021-09-28 16:01:46.453062 : Epoch  1, Batch    135, Loss  1.159495, Average Loss  1.594770, Time  0.448960
2021-09-28 16:01:52.420562 : Epoch  1, Batch    136, Loss  1.139744, Average Loss  1.591424, Time  0.448998
2021-09-28 16:01:58.387015 : Epoch  1, Batch    137, Loss  1.137672, Average Loss  1.588112, Time  0.447697
2021-09-28 16:02:04.344942 : Epoch  1, Batch    138, Loss  1.139742, Average Loss  1.584863, Time  0.449814
2021-09-28 16:02:10.355805 : Epoch  1, Batch    139, Loss  1.125458, Average Loss  1.581558, Time  0.461712
2021-09-28 16:02:16.366410 : Epoch  1, Batch    140, Loss  1.127530, Average Loss  1.578315, Time  0.446544
2021-09-28 16:02:22.384762 : Epoch  1, Batch    141, Loss  1.128121, Average Loss  1.575122, Time  0.446757
2021-09-28 16:02:28.350786 : Epoch  1, Batch    142, Loss  1.108401, Average Loss  1.571836, Time  0.446767
2021-09-28 16:02:34.314326 : Epoch  1, Batch    143, Loss  1.118423, Average Loss  1.568665, Time  0.448854
2021-09-28 16:02:40.286064 : Epoch  1, Batch    144, Loss  1.106420, Average Loss  1.565455, Time  0.447072
2021-09-28 16:02:46.267391 : Epoch  1, Batch    145, Loss  1.113115, Average Loss  1.562335, Time  0.448915
2021-09-28 16:02:52.218383 : Epoch  1, Batch    146, Loss  1.103459, Average Loss  1.559192, Time  0.447459
2021-09-28 16:02:58.177859 : Epoch  1, Batch    147, Loss  1.079755, Average Loss  1.555931, Time  0.457636
2021-09-28 16:03:04.133470 : Epoch  1, Batch    148, Loss  1.086222, Average Loss  1.552757, Time  0.446865
2021-09-28 16:03:10.097177 : Epoch  1, Batch    149, Loss  1.079446, Average Loss  1.549580, Time  0.446483
2021-09-28 16:03:16.043992 : Epoch  1, Batch    150, Loss  1.095624, Average Loss  1.546554, Time  0.448763
2021-09-28 16:03:21.989070 : Epoch  1, Batch    151, Loss  1.084684, Average Loss  1.543495, Time  0.451520
2021-09-28 16:03:27.944805 : Epoch  1, Batch    152, Loss  1.084822, Average Loss  1.540478, Time  0.446750
2021-09-28 16:03:33.946275 : Epoch  1, Batch    153, Loss  1.054000, Average Loss  1.537298, Time  0.446587
2021-09-28 16:03:39.982147 : Epoch  1, Batch    154, Loss  1.077621, Average Loss  1.534313, Time  0.452460
2021-09-28 16:03:45.968809 : Epoch  1, Batch    155, Loss  1.049591, Average Loss  1.531186, Time  0.446940
2021-09-28 16:03:51.925347 : Epoch  1, Batch    156, Loss  1.069258, Average Loss  1.528225, Time  0.449961
2021-09-28 16:03:57.888497 : Epoch  1, Batch    157, Loss  1.056324, Average Loss  1.525219, Time  0.445450
2021-09-28 16:04:03.827236 : Epoch  1, Batch    158, Loss  1.054125, Average Loss  1.522238, Time  0.445743
2021-09-28 16:04:09.754259 : Epoch  1, Batch    159, Loss  1.053607, Average Loss  1.519290, Time  0.446875
2021-09-28 16:04:15.694041 : Epoch  1, Batch    160, Loss  1.052415, Average Loss  1.516372, Time  0.451057
2021-09-28 16:04:21.652397 : Epoch  1, Batch    161, Loss  1.057566, Average Loss  1.513523, Time  0.448656
2021-09-28 16:04:27.614422 : Epoch  1, Batch    162, Loss  1.038880, Average Loss  1.510593, Time  0.456909
2021-09-28 16:04:33.579850 : Epoch  1, Batch    163, Loss  1.042069, Average Loss  1.507718, Time  0.448269
2021-09-28 16:04:39.530559 : Epoch  1, Batch    164, Loss  1.038675, Average Loss  1.504858, Time  0.449127
2021-09-28 16:04:45.487833 : Epoch  1, Batch    165, Loss  1.051340, Average Loss  1.502110, Time  0.448475
2021-09-28 16:04:51.448752 : Epoch  1, Batch    166, Loss  1.041134, Average Loss  1.499333, Time  0.447834
2021-09-28 16:04:57.463593 : Epoch  1, Batch    167, Loss  1.039004, Average Loss  1.496576, Time  0.447610
2021-09-28 16:05:03.485903 : Epoch  1, Batch    168, Loss  1.040609, Average Loss  1.493862, Time  0.446769
2021-09-28 16:05:09.475786 : Epoch  1, Batch    169, Loss  1.035061, Average Loss  1.491147, Time  0.447975
2021-09-28 16:05:15.437883 : Epoch  1, Batch    170, Loss  1.044381, Average Loss  1.488519, Time  0.463444
2021-09-28 16:05:21.399959 : Epoch  1, Batch    171, Loss  1.051291, Average Loss  1.485962, Time  0.445485
2021-09-28 16:05:27.362424 : Epoch  1, Batch    172, Loss  1.031763, Average Loss  1.483322, Time  0.448405
2021-09-28 16:05:33.305594 : Epoch  1, Batch    173, Loss  1.042149, Average Loss  1.480772, Time  0.448376
2021-09-28 16:05:39.257112 : Epoch  1, Batch    174, Loss  1.038423, Average Loss  1.478229, Time  0.446234
2021-09-28 16:05:45.208705 : Epoch  1, Batch    175, Loss  1.039483, Average Loss  1.475722, Time  0.447845
2021-09-28 16:05:51.152100 : Epoch  1, Batch    176, Loss  1.032075, Average Loss  1.473201, Time  0.447479
2021-09-28 16:05:57.101024 : Epoch  1, Batch    177, Loss  1.030993, Average Loss  1.470703, Time  0.447920
2021-09-28 16:06:03.073806 : Epoch  1, Batch    178, Loss  1.030447, Average Loss  1.468230, Time  0.463129
2021-09-28 16:06:09.022708 : Epoch  1, Batch    179, Loss  1.020445, Average Loss  1.465728, Time  0.448196
2021-09-28 16:06:14.977006 : Epoch  1, Batch    180, Loss  1.016899, Average Loss  1.463235, Time  0.446225
2021-09-28 16:06:20.972873 : Epoch  1, Batch    181, Loss  1.019174, Average Loss  1.460781, Time  0.447699
2021-09-28 16:06:27.006844 : Epoch  1, Batch    182, Loss  1.023688, Average Loss  1.458380, Time  0.450699
2021-09-28 16:06:32.995882 : Epoch  1, Batch    183, Loss  1.013528, Average Loss  1.455949, Time  0.446946
2021-09-28 16:06:38.944270 : Epoch  1, Batch    184, Loss  1.017292, Average Loss  1.453565, Time  0.446927
2021-09-28 16:06:44.903562 : Epoch  1, Batch    185, Loss  1.002818, Average Loss  1.451128, Time  0.460480
2021-09-28 16:06:50.861835 : Epoch  1, Batch    186, Loss  1.020810, Average Loss  1.448815, Time  0.452903
2021-09-28 16:06:56.827812 : Epoch  1, Batch    187, Loss  1.003054, Average Loss  1.446431, Time  0.447191
2021-09-28 16:07:02.776413 : Epoch  1, Batch    188, Loss  1.009078, Average Loss  1.444105, Time  0.446760
2021-09-28 16:07:08.740828 : Epoch  1, Batch    189, Loss  1.006429, Average Loss  1.441789, Time  0.447206
2021-09-28 16:07:14.708898 : Epoch  1, Batch    190, Loss  1.004708, Average Loss  1.439489, Time  0.446414
2021-09-28 16:07:20.653639 : Epoch  1, Batch    191, Loss  1.016878, Average Loss  1.437276, Time  0.447095
2021-09-28 16:07:26.612998 : Epoch  1, Batch    192, Loss  0.997855, Average Loss  1.434987, Time  0.448539
2021-09-28 16:07:32.571823 : Epoch  1, Batch    193, Loss  0.987835, Average Loss  1.432670, Time  0.458651
2021-09-28 16:07:38.517773 : Epoch  1, Batch    194, Loss  1.000373, Average Loss  1.430442, Time  0.446091
2021-09-28 16:07:44.507762 : Epoch  1, Batch    195, Loss  0.984403, Average Loss  1.428155, Time  0.447496
2021-09-28 16:07:50.527956 : Epoch  1, Batch    196, Loss  0.988744, Average Loss  1.425913, Time  0.446757
2021-09-28 16:07:56.513678 : Epoch  1, Batch    197, Loss  1.005326, Average Loss  1.423778, Time  0.447651
2021-09-28 16:08:02.440081 : Epoch  1, Batch    198, Loss  0.995903, Average Loss  1.421617, Time  0.445910
2021-09-28 16:08:08.370988 : Epoch  1, Batch    199, Loss  0.983340, Average Loss  1.419414, Time  0.446689
2021-09-28 16:08:14.306802 : Epoch  1, Batch    200, Loss  0.984391, Average Loss  1.417239, Time  0.446963
2021-09-28 16:12:56.695601 : CheckPoint: Validation Loss  0.00016169, Best Loss  0.00016169
2021-09-28 16:12:56.734954 : Best Model Updated
2021-09-28 16:13:03.307390 : Epoch  1, Batch    201, Loss  0.968304, Average Loss  1.412644, Time  0.452038
2021-09-28 16:13:09.284996 : Epoch  1, Batch    202, Loss  0.988642, Average Loss  1.408137, Time  0.446393
2021-09-28 16:13:15.246298 : Epoch  1, Batch    203, Loss  0.980277, Average Loss  1.403607, Time  0.446110
2021-09-28 16:13:21.201569 : Epoch  1, Batch    204, Loss  0.991681, Average Loss  1.399102, Time  0.445617
2021-09-28 16:13:27.168105 : Epoch  1, Batch    205, Loss  0.965209, Average Loss  1.394498, Time  0.446999
2021-09-28 16:13:33.149451 : Epoch  1, Batch    206, Loss  0.966058, Average Loss  1.389914, Time  0.447873
2021-09-28 16:13:39.124811 : Epoch  1, Batch    207, Loss  0.965074, Average Loss  1.385363, Time  0.455225
2021-09-28 16:13:45.092892 : Epoch  1, Batch    208, Loss  0.961450, Average Loss  1.380830, Time  0.445967
2021-09-28 16:13:51.063091 : Epoch  1, Batch    209, Loss  0.962005, Average Loss  1.376332, Time  0.450078
2021-09-28 16:13:57.034144 : Epoch  1, Batch    210, Loss  0.969913, Average Loss  1.371901, Time  0.446283
2021-09-28 16:14:03.001883 : Epoch  1, Batch    211, Loss  0.966280, Average Loss  1.367483, Time  0.448603
2021-09-28 16:14:08.974745 : Epoch  1, Batch    212, Loss  0.964134, Average Loss  1.363105, Time  0.446031
2021-09-28 16:14:14.955815 : Epoch  1, Batch    213, Loss  0.941008, Average Loss  1.358631, Time  0.450031
2021-09-28 16:14:20.919967 : Epoch  1, Batch    214, Loss  0.968740, Average Loss  1.354394, Time  0.452572
2021-09-28 16:14:26.892512 : Epoch  1, Batch    215, Loss  0.970846, Average Loss  1.350213, Time  0.447778
2021-09-28 16:14:32.866922 : Epoch  1, Batch    216, Loss  0.938051, Average Loss  1.345891, Time  0.450490
2021-09-28 16:14:38.840304 : Epoch  1, Batch    217, Loss  0.962501, Average Loss  1.341737, Time  0.448562
2021-09-28 16:14:44.802338 : Epoch  1, Batch    218, Loss  0.967971, Average Loss  1.337661, Time  0.446290
2021-09-28 16:14:50.775968 : Epoch  1, Batch    219, Loss  0.951383, Average Loss  1.333559, Time  0.445048
2021-09-28 16:14:56.740985 : Epoch  1, Batch    220, Loss  0.953871, Average Loss  1.329492, Time  0.446262
2021-09-28 16:15:02.703844 : Epoch  1, Batch    221, Loss  0.966071, Average Loss  1.325550, Time  0.445653
2021-09-28 16:15:08.687592 : Epoch  1, Batch    222, Loss  0.945847, Average Loss  1.321560, Time  0.456090
2021-09-28 16:15:14.649859 : Epoch  1, Batch    223, Loss  0.949402, Average Loss  1.317601, Time  0.448750
2021-09-28 16:15:20.605105 : Epoch  1, Batch    224, Loss  0.965064, Average Loss  1.313783, Time  0.447297
2021-09-28 16:15:26.567878 : Epoch  1, Batch    225, Loss  0.948549, Average Loss  1.309872, Time  0.447487
2021-09-28 16:15:32.544203 : Epoch  1, Batch    226, Loss  0.964307, Average Loss  1.306087, Time  0.447292
2021-09-28 16:15:38.527095 : Epoch  1, Batch    227, Loss  0.943551, Average Loss  1.302216, Time  0.447539
2021-09-28 16:15:42.928929 : Epoch  1, Batch    228, Loss  0.953869, Average Loss  1.298398, Time  0.348344
2021-09-28 16:15:48.899184 : Epoch  1, Batch    229, Loss  0.957291, Average Loss  1.294595, Time  0.446764
2021-09-28 16:15:54.880723 : Epoch  1, Batch    230, Loss  0.956696, Average Loss  1.290836, Time  0.462967
2021-09-28 16:16:00.839784 : Epoch  1, Batch    231, Loss  0.961634, Average Loss  1.287134, Time  0.448695
2021-09-28 16:16:06.800997 : Epoch  1, Batch    232, Loss  0.961938, Average Loss  1.283457, Time  0.446976
2021-09-28 16:16:12.768913 : Epoch  1, Batch    233, Loss  0.940246, Average Loss  1.279655, Time  0.447364
2021-09-28 16:16:18.740579 : Epoch  1, Batch    234, Loss  0.944389, Average Loss  1.275870, Time  0.445983
2021-09-28 16:16:24.705393 : Epoch  1, Batch    235, Loss  0.947095, Average Loss  1.272111, Time  0.446734
2021-09-28 16:16:30.681933 : Epoch  1, Batch    236, Loss  0.927108, Average Loss  1.268324, Time  0.448685
2021-09-28 16:16:36.648839 : Epoch  1, Batch    237, Loss  0.930268, Average Loss  1.264523, Time  0.463245
2021-09-28 16:16:42.595994 : Epoch  1, Batch    238, Loss  0.943051, Average Loss  1.260821, Time  0.447100
2021-09-28 16:16:48.553580 : Epoch  1, Batch    239, Loss  0.944332, Average Loss  1.257130, Time  0.445618
2021-09-28 16:16:54.513781 : Epoch  1, Batch    240, Loss  0.949261, Average Loss  1.253451, Time  0.446105
2021-09-28 16:17:00.477038 : Epoch  1, Batch    241, Loss  0.954003, Average Loss  1.249830, Time  0.445985
2021-09-28 16:17:06.448377 : Epoch  1, Batch    242, Loss  0.949683, Average Loss  1.246241, Time  0.448160
2021-09-28 16:17:12.414884 : Epoch  1, Batch    243, Loss  0.927561, Average Loss  1.242479, Time  0.447109
2021-09-28 16:17:18.400503 : Epoch  1, Batch    244, Loss  0.942039, Average Loss  1.238812, Time  0.450956
2021-09-28 16:17:24.366374 : Epoch  1, Batch    245, Loss  0.935300, Average Loss  1.235152, Time  0.457879
2021-09-28 16:17:30.328036 : Epoch  1, Batch    246, Loss  0.929675, Average Loss  1.231412, Time  0.447729
2021-09-28 16:17:36.296823 : Epoch  1, Batch    247, Loss  0.921546, Average Loss  1.227651, Time  0.445740
2021-09-28 16:17:42.262306 : Epoch  1, Batch    248, Loss  0.942772, Average Loss  1.224036, Time  0.446063
2021-09-28 16:17:48.226214 : Epoch  1, Batch    249, Loss  0.926466, Average Loss  1.220322, Time  0.446888
2021-09-28 16:17:54.188527 : Epoch  1, Batch    250, Loss  0.931433, Average Loss  1.216602, Time  0.447120
2021-09-28 16:18:00.166106 : Epoch  1, Batch    251, Loss  0.926564, Average Loss  1.212898, Time  0.446474
2021-09-28 16:18:06.144651 : Epoch  1, Batch    252, Loss  0.929508, Average Loss  1.209189, Time  0.445790
2021-09-28 16:18:12.148785 : Epoch  1, Batch    253, Loss  0.926520, Average Loss  1.205465, Time  0.462889
2021-09-28 16:18:18.127239 : Epoch  1, Batch    254, Loss  0.957463, Average Loss  1.201896, Time  0.450513
2021-09-28 16:18:24.104901 : Epoch  1, Batch    255, Loss  0.939346, Average Loss  1.198270, Time  0.447837
2021-09-28 16:18:30.080297 : Epoch  1, Batch    256, Loss  0.925703, Average Loss  1.194587, Time  0.446447
2021-09-28 16:18:36.051982 : Epoch  1, Batch    257, Loss  0.938094, Average Loss  1.190924, Time  0.447212
2021-09-28 16:18:42.017818 : Epoch  1, Batch    258, Loss  0.933939, Average Loss  1.187268, Time  0.446033
2021-09-28 16:18:47.984777 : Epoch  1, Batch    259, Loss  0.936862, Average Loss  1.183613, Time  0.446037
2021-09-28 16:18:53.949315 : Epoch  1, Batch    260, Loss  0.926949, Average Loss  1.179885, Time  0.457677
2021-09-28 16:18:59.897276 : Epoch  1, Batch    261, Loss  0.935210, Average Loss  1.176252, Time  0.447285
2021-09-28 16:19:05.853577 : Epoch  1, Batch    262, Loss  0.921083, Average Loss  1.172562, Time  0.445762
2021-09-28 16:19:11.833812 : Epoch  1, Batch    263, Loss  0.933237, Average Loss  1.168911, Time  0.449989
2021-09-28 16:19:17.798100 : Epoch  1, Batch    264, Loss  0.929472, Average Loss  1.165262, Time  0.449310
2021-09-28 16:19:23.763047 : Epoch  1, Batch    265, Loss  0.930678, Average Loss  1.161589, Time  0.446365
2021-09-28 16:19:29.738816 : Epoch  1, Batch    266, Loss  0.933293, Average Loss  1.157987, Time  0.446637
2021-09-28 16:19:35.704684 : Epoch  1, Batch    267, Loss  0.941808, Average Loss  1.154389, Time  0.446108
2021-09-28 16:19:41.675646 : Epoch  1, Batch    268, Loss  0.914452, Average Loss  1.150728, Time  0.461920
2021-09-28 16:19:47.637492 : Epoch  1, Batch    269, Loss  0.927871, Average Loss  1.147065, Time  0.446317
2021-09-28 16:19:53.588688 : Epoch  1, Batch    270, Loss  0.921713, Average Loss  1.143401, Time  0.448370
2021-09-28 16:19:59.546250 : Epoch  1, Batch    271, Loss  0.926120, Average Loss  1.139722, Time  0.448353
2021-09-28 16:20:05.497799 : Epoch  1, Batch    272, Loss  0.911048, Average Loss  1.135980, Time  0.445909
2021-09-28 16:20:11.463436 : Epoch  1, Batch    273, Loss  0.917015, Average Loss  1.132297, Time  0.446850
2021-09-28 16:20:17.428407 : Epoch  1, Batch    274, Loss  0.928723, Average Loss  1.128666, Time  0.447535
2021-09-28 16:20:23.391996 : Epoch  1, Batch    275, Loss  0.926137, Average Loss  1.125018, Time  0.447875
2021-09-28 16:20:29.365967 : Epoch  1, Batch    276, Loss  0.922481, Average Loss  1.121376, Time  0.458436
2021-09-28 16:20:35.320036 : Epoch  1, Batch    277, Loss  0.914724, Average Loss  1.117728, Time  0.447147
2021-09-28 16:20:41.282566 : Epoch  1, Batch    278, Loss  0.936322, Average Loss  1.114133, Time  0.450441
2021-09-28 16:20:47.247909 : Epoch  1, Batch    279, Loss  0.928219, Average Loss  1.110589, Time  0.447505
2021-09-28 16:20:53.191826 : Epoch  1, Batch    280, Loss  0.925098, Average Loss  1.107014, Time  0.446119
2021-09-28 16:20:59.153622 : Epoch  1, Batch    281, Loss  0.920714, Average Loss  1.103446, Time  0.445626
2021-09-28 16:21:05.107067 : Epoch  1, Batch    282, Loss  0.929347, Average Loss  1.099912, Time  0.446598
2021-09-28 16:21:11.074394 : Epoch  1, Batch    283, Loss  0.924112, Average Loss  1.096340, Time  0.445824
2021-09-28 16:21:17.046891 : Epoch  1, Batch    284, Loss  0.918694, Average Loss  1.092826, Time  0.456391
2021-09-28 16:21:23.015702 : Epoch  1, Batch    285, Loss  0.920529, Average Loss  1.089263, Time  0.447593
2021-09-28 16:21:29.002449 : Epoch  1, Batch    286, Loss  0.911507, Average Loss  1.085697, Time  0.448791
2021-09-28 16:21:34.973886 : Epoch  1, Batch    287, Loss  0.916933, Average Loss  1.082154, Time  0.451337
2021-09-28 16:21:40.918898 : Epoch  1, Batch    288, Loss  0.914432, Average Loss  1.078676, Time  0.445380
2021-09-28 16:21:46.876626 : Epoch  1, Batch    289, Loss  0.914168, Average Loss  1.075188, Time  0.446579
2021-09-28 16:21:52.844789 : Epoch  1, Batch    290, Loss  0.907049, Average Loss  1.071735, Time  0.449166
2021-09-28 16:21:58.810987 : Epoch  1, Batch    291, Loss  0.920460, Average Loss  1.068375, Time  0.454525
2021-09-28 16:22:04.771266 : Epoch  1, Batch    292, Loss  0.927736, Average Loss  1.065084, Time  0.449208
2021-09-28 16:22:10.740403 : Epoch  1, Batch    293, Loss  0.917452, Average Loss  1.061823, Time  0.447521
2021-09-28 16:22:16.721879 : Epoch  1, Batch    294, Loss  0.924343, Average Loss  1.058581, Time  0.451183
2021-09-28 16:22:22.687854 : Epoch  1, Batch    295, Loss  0.918319, Average Loss  1.055475, Time  0.446322
2021-09-28 16:22:28.655177 : Epoch  1, Batch    296, Loss  0.923185, Average Loss  1.052406, Time  0.449300
2021-09-28 16:22:34.609704 : Epoch  1, Batch    297, Loss  0.908846, Average Loss  1.049421, Time  0.446634
2021-09-28 16:22:40.577335 : Epoch  1, Batch    298, Loss  0.926669, Average Loss  1.046566, Time  0.450013
2021-09-28 16:22:46.548680 : Epoch  1, Batch    299, Loss  0.915125, Average Loss  1.043691, Time  0.457930
2021-09-28 16:22:52.497888 : Epoch  1, Batch    300, Loss  0.911588, Average Loss  1.040907, Time  0.446546
2021-09-28 16:27:34.368051 : CheckPoint: Validation Loss  0.00015734, Best Loss  0.00015734
2021-09-28 16:27:34.402149 : Best Model Updated
2021-09-28 16:27:40.919459 : Epoch  1, Batch    301, Loss  0.898693, Average Loss  1.038100, Time  0.449682
2021-09-28 16:27:46.869020 : Epoch  1, Batch    302, Loss  0.896740, Average Loss  1.035351, Time  0.446623
2021-09-28 16:27:52.825374 : Epoch  1, Batch    303, Loss  0.914561, Average Loss  1.032747, Time  0.447516
2021-09-28 16:27:58.776464 : Epoch  1, Batch    304, Loss  0.915796, Average Loss  1.030152, Time  0.448210
2021-09-28 16:28:04.736980 : Epoch  1, Batch    305, Loss  0.914017, Average Loss  1.027603, Time  0.461675
2021-09-28 16:28:10.679557 : Epoch  1, Batch    306, Loss  0.909416, Average Loss  1.025070, Time  0.447245
2021-09-28 16:28:16.636655 : Epoch  1, Batch    307, Loss  0.922263, Average Loss  1.022578, Time  0.447940
2021-09-28 16:28:22.585883 : Epoch  1, Batch    308, Loss  0.914032, Average Loss  1.020171, Time  0.445963
2021-09-28 16:28:28.528924 : Epoch  1, Batch    309, Loss  0.919202, Average Loss  1.017840, Time  0.445653
2021-09-28 16:28:34.465837 : Epoch  1, Batch    310, Loss  0.907265, Average Loss  1.015434, Time  0.447438
2021-09-28 16:28:40.415864 : Epoch  1, Batch    311, Loss  0.907482, Average Loss  1.013038, Time  0.450054
2021-09-28 16:28:46.355695 : Epoch  1, Batch    312, Loss  0.923808, Average Loss  1.010754, Time  0.445496
2021-09-28 16:28:52.315769 : Epoch  1, Batch    313, Loss  0.910414, Average Loss  1.008440, Time  0.462582
2021-09-28 16:28:58.268139 : Epoch  1, Batch    314, Loss  0.918005, Average Loss  1.006243, Time  0.447426
2021-09-28 16:29:04.210437 : Epoch  1, Batch    315, Loss  0.923522, Average Loss  1.004063, Time  0.447409
2021-09-28 16:29:10.169597 : Epoch  1, Batch    316, Loss  0.904401, Average Loss  1.001856, Time  0.447955
2021-09-28 16:29:16.109950 : Epoch  1, Batch    317, Loss  0.904434, Average Loss  0.999737, Time  0.447712
2021-09-28 16:29:22.056463 : Epoch  1, Batch    318, Loss  0.925278, Average Loss  0.997716, Time  0.446640
2021-09-28 16:29:28.003539 : Epoch  1, Batch    319, Loss  0.904735, Average Loss  0.995677, Time  0.448651
2021-09-28 16:29:33.948935 : Epoch  1, Batch    320, Loss  0.904940, Average Loss  0.993737, Time  0.445830
2021-09-28 16:29:39.900390 : Epoch  1, Batch    321, Loss  0.898564, Average Loss  0.991809, Time  0.451671
2021-09-28 16:29:45.851668 : Epoch  1, Batch    322, Loss  0.925048, Average Loss  0.990004, Time  0.447823
2021-09-28 16:29:51.790075 : Epoch  1, Batch    323, Loss  0.936025, Average Loss  0.988365, Time  0.445444
2021-09-28 16:29:57.743900 : Epoch  1, Batch    324, Loss  0.892859, Average Loss  0.986483, Time  0.445618
2021-09-28 16:30:03.697447 : Epoch  1, Batch    325, Loss  0.914774, Average Loss  0.984731, Time  0.447466
2021-09-28 16:30:09.658701 : Epoch  1, Batch    326, Loss  0.907123, Average Loss  0.982973, Time  0.446274
2021-09-28 16:30:15.640704 : Epoch  1, Batch    327, Loss  0.891091, Average Loss  0.981276, Time  0.449807
2021-09-28 16:30:21.613178 : Epoch  1, Batch    328, Loss  0.917842, Average Loss  0.979733, Time  0.445972
2021-09-28 16:30:27.593260 : Epoch  1, Batch    329, Loss  0.894082, Average Loss  0.978129, Time  0.464084
2021-09-28 16:30:33.548186 : Epoch  1, Batch    330, Loss  0.908008, Average Loss  0.976564, Time  0.448879
2021-09-28 16:30:39.522481 : Epoch  1, Batch    331, Loss  0.912726, Average Loss  0.975030, Time  0.448344
2021-09-28 16:30:45.488527 : Epoch  1, Batch    332, Loss  0.901786, Average Loss  0.973556, Time  0.447590
2021-09-28 16:30:51.452287 : Epoch  1, Batch    333, Loss  0.911023, Average Loss  0.972161, Time  0.450183
2021-09-28 16:30:57.424455 : Epoch  1, Batch    334, Loss  0.901227, Average Loss  0.970826, Time  0.452616
2021-09-28 16:31:03.384045 : Epoch  1, Batch    335, Loss  0.911179, Average Loss  0.969585, Time  0.448393
2021-09-28 16:31:09.324189 : Epoch  1, Batch    336, Loss  0.912039, Average Loss  0.968446, Time  0.446220
2021-09-28 16:31:15.289765 : Epoch  1, Batch    337, Loss  0.903634, Average Loss  0.967276, Time  0.457079
2021-09-28 16:31:21.235433 : Epoch  1, Batch    338, Loss  0.913660, Average Loss  0.966146, Time  0.445424
2021-09-28 16:31:27.198631 : Epoch  1, Batch    339, Loss  0.893705, Average Loss  0.964987, Time  0.446974
2021-09-28 16:31:33.162513 : Epoch  1, Batch    340, Loss  0.905625, Average Loss  0.963877, Time  0.446292
2021-09-28 16:31:39.116168 : Epoch  1, Batch    341, Loss  0.905269, Average Loss  0.962763, Time  0.445622
2021-09-28 16:31:45.084420 : Epoch  1, Batch    342, Loss  0.903231, Average Loss  0.961737, Time  0.445601
2021-09-28 16:31:51.034417 : Epoch  1, Batch    343, Loss  0.906832, Average Loss  0.960679, Time  0.447090
2021-09-28 16:31:56.998722 : Epoch  1, Batch    344, Loss  0.891205, Average Loss  0.959603, Time  0.461066
2021-09-28 16:32:02.961076 : Epoch  1, Batch    345, Loss  0.896655, Average Loss  0.958521, Time  0.448019
2021-09-28 16:32:08.931829 : Epoch  1, Batch    346, Loss  0.901841, Average Loss  0.957513, Time  0.448352
2021-09-28 16:32:14.896798 : Epoch  1, Batch    347, Loss  0.909076, Average Loss  0.956659, Time  0.445747
2021-09-28 16:32:20.849747 : Epoch  1, Batch    348, Loss  0.901947, Average Loss  0.955738, Time  0.447704
2021-09-28 16:32:26.812433 : Epoch  1, Batch    349, Loss  0.906550, Average Loss  0.954874, Time  0.446977
2021-09-28 16:32:32.763758 : Epoch  1, Batch    350, Loss  0.901529, Average Loss  0.953903, Time  0.446509
2021-09-28 16:32:38.711386 : Epoch  1, Batch    351, Loss  0.892671, Average Loss  0.952943, Time  0.445410
2021-09-28 16:32:44.672255 : Epoch  1, Batch    352, Loss  0.910592, Average Loss  0.952072, Time  0.460528
2021-09-28 16:32:50.629516 : Epoch  1, Batch    353, Loss  0.903189, Average Loss  0.951318, Time  0.447895
2021-09-28 16:32:56.590843 : Epoch  1, Batch    354, Loss  0.906005, Average Loss  0.950460, Time  0.448712
2021-09-28 16:33:02.536153 : Epoch  1, Batch    355, Loss  0.912444, Average Loss  0.949774, Time  0.448269
2021-09-28 16:33:08.499359 : Epoch  1, Batch    356, Loss  0.894142, Average Loss  0.948898, Time  0.446973
2021-09-28 16:33:14.440478 : Epoch  1, Batch    357, Loss  0.896180, Average Loss  0.948098, Time  0.446410
2021-09-28 16:33:20.394413 : Epoch  1, Batch    358, Loss  0.897942, Average Loss  0.947317, Time  0.447067
2021-09-28 16:33:26.336160 : Epoch  1, Batch    359, Loss  0.907498, Average Loss  0.946586, Time  0.447689
2021-09-28 16:33:32.301192 : Epoch  1, Batch    360, Loss  0.898818, Average Loss  0.945818, Time  0.457847
2021-09-28 16:33:38.259985 : Epoch  1, Batch    361, Loss  0.904017, Average Loss  0.945051, Time  0.446910
2021-09-28 16:33:44.199662 : Epoch  1, Batch    362, Loss  0.907638, Average Loss  0.944394, Time  0.448737
2021-09-28 16:33:50.161919 : Epoch  1, Batch    363, Loss  0.894241, Average Loss  0.943655, Time  0.447683
2021-09-28 16:33:56.099503 : Epoch  1, Batch    364, Loss  0.910757, Average Loss  0.943016, Time  0.446520
2021-09-28 16:34:02.057094 : Epoch  1, Batch    365, Loss  0.911923, Average Loss  0.942319, Time  0.449631
2021-09-28 16:34:08.019976 : Epoch  1, Batch    366, Loss  0.907780, Average Loss  0.941652, Time  0.446589
2021-09-28 16:34:13.994367 : Epoch  1, Batch    367, Loss  0.893456, Average Loss  0.940924, Time  0.464972
2021-09-28 16:34:19.953542 : Epoch  1, Batch    368, Loss  0.900471, Average Loss  0.940223, Time  0.445852
2021-09-28 16:34:25.908951 : Epoch  1, Batch    369, Loss  0.899897, Average Loss  0.939548, Time  0.446216
2021-09-28 16:34:31.859392 : Epoch  1, Batch    370, Loss  0.895751, Average Loss  0.938804, Time  0.446781
2021-09-28 16:34:37.807284 : Epoch  1, Batch    371, Loss  0.916451, Average Loss  0.938130, Time  0.447088
2021-09-28 16:34:43.756798 : Epoch  1, Batch    372, Loss  0.914103, Average Loss  0.937542, Time  0.447155
2021-09-28 16:34:49.708526 : Epoch  1, Batch    373, Loss  0.894831, Average Loss  0.936805, Time  0.446875
2021-09-28 16:34:55.658733 : Epoch  1, Batch    374, Loss  0.891531, Average Loss  0.936071, Time  0.449857
2021-09-28 16:35:01.623801 : Epoch  1, Batch    375, Loss  0.899435, Average Loss  0.935371, Time  0.466457
2021-09-28 16:35:07.590680 : Epoch  1, Batch    376, Loss  0.907206, Average Loss  0.934746, Time  0.446759
2021-09-28 16:35:13.546896 : Epoch  1, Batch    377, Loss  0.897412, Average Loss  0.934078, Time  0.446410
2021-09-28 16:35:19.507972 : Epoch  1, Batch    378, Loss  0.888599, Average Loss  0.933369, Time  0.450106
2021-09-28 16:35:25.458346 : Epoch  1, Batch    379, Loss  0.900006, Average Loss  0.932767, Time  0.446134
2021-09-28 16:35:31.407529 : Epoch  1, Batch    380, Loss  0.882183, Average Loss  0.932093, Time  0.448035
2021-09-28 16:35:37.358760 : Epoch  1, Batch    381, Loss  0.910267, Average Loss  0.931549, Time  0.446157
2021-09-28 16:35:43.306723 : Epoch  1, Batch    382, Loss  0.908532, Average Loss  0.930973, Time  0.445737
2021-09-28 16:35:49.278983 : Epoch  1, Batch    383, Loss  0.909498, Average Loss  0.930453, Time  0.464543
2021-09-28 16:35:55.248658 : Epoch  1, Batch    384, Loss  0.894342, Average Loss  0.929838, Time  0.447401
2021-09-28 16:36:01.198982 : Epoch  1, Batch    385, Loss  0.884384, Average Loss  0.929246, Time  0.447301
2021-09-28 16:36:07.159372 : Epoch  1, Batch    386, Loss  0.887973, Average Loss  0.928582, Time  0.450333
2021-09-28 16:36:13.128222 : Epoch  1, Batch    387, Loss  0.899003, Average Loss  0.928062, Time  0.447331
2021-09-28 16:36:19.092133 : Epoch  1, Batch    388, Loss  0.911397, Average Loss  0.927573, Time  0.446961
2021-09-28 16:36:25.043794 : Epoch  1, Batch    389, Loss  0.887567, Average Loss  0.926979, Time  0.447639
2021-09-28 16:36:31.006887 : Epoch  1, Batch    390, Loss  0.916932, Average Loss  0.926540, Time  0.448459
2021-09-28 16:36:36.960239 : Epoch  1, Batch    391, Loss  0.906383, Average Loss  0.925987, Time  0.459168
2021-09-28 16:36:42.919120 : Epoch  1, Batch    392, Loss  0.903097, Average Loss  0.925514, Time  0.447839
2021-09-28 16:36:48.877714 : Epoch  1, Batch    393, Loss  0.908156, Average Loss  0.925115, Time  0.447851
2021-09-28 16:36:54.838907 : Epoch  1, Batch    394, Loss  0.897713, Average Loss  0.924602, Time  0.447939
2021-09-28 16:37:00.785809 : Epoch  1, Batch    395, Loss  0.901048, Average Loss  0.924185, Time  0.448196
2021-09-28 16:37:06.743918 : Epoch  1, Batch    396, Loss  0.895330, Average Loss  0.923718, Time  0.447377
2021-09-28 16:37:12.710357 : Epoch  1, Batch    397, Loss  0.899126, Average Loss  0.923187, Time  0.446865
2021-09-28 16:37:18.692436 : Epoch  1, Batch    398, Loss  0.908486, Average Loss  0.922750, Time  0.468671
2021-09-28 16:37:24.629980 : Epoch  1, Batch    399, Loss  0.908277, Average Loss  0.922375, Time  0.445866
2021-09-28 16:37:30.589948 : Epoch  1, Batch    400, Loss  0.906179, Average Loss  0.921984, Time  0.446124
2021-09-28 16:42:12.010177 : CheckPoint: Validation Loss  0.00015264, Best Loss  0.00015264
2021-09-28 16:42:12.039724 : Best Model Updated
2021-09-28 16:42:18.608228 : Epoch  1, Batch    401, Loss  0.919699, Average Loss  0.921741, Time  0.448951
2021-09-28 16:42:24.568097 : Epoch  1, Batch    402, Loss  0.903467, Average Loss  0.921315, Time  0.445631
2021-09-28 16:42:30.517845 : Epoch  1, Batch    403, Loss  0.897420, Average Loss  0.920900, Time  0.446000
2021-09-28 16:42:36.482036 : Epoch  1, Batch    404, Loss  0.894658, Average Loss  0.920415, Time  0.456840
2021-09-28 16:42:42.427817 : Epoch  1, Batch    405, Loss  0.898889, Average Loss  0.920084, Time  0.446691
2021-09-28 16:42:48.386452 : Epoch  1, Batch    406, Loss  0.918312, Average Loss  0.919845, Time  0.447704
2021-09-28 16:42:54.343775 : Epoch  1, Batch    407, Loss  0.904122, Average Loss  0.919540, Time  0.446505
2021-09-28 16:43:00.280976 : Epoch  1, Batch    408, Loss  0.891779, Average Loss  0.919192, Time  0.445744
2021-09-28 16:43:06.223853 : Epoch  1, Batch    409, Loss  0.881332, Average Loss  0.918789, Time  0.445822
2021-09-28 16:43:12.171083 : Epoch  1, Batch    410, Loss  0.905105, Average Loss  0.918464, Time  0.448674
2021-09-28 16:43:18.111837 : Epoch  1, Batch    411, Loss  0.893645, Average Loss  0.918101, Time  0.446451
2021-09-28 16:43:24.070192 : Epoch  1, Batch    412, Loss  0.907489, Average Loss  0.917818, Time  0.457692
2021-09-28 16:43:30.024546 : Epoch  1, Batch    413, Loss  0.898256, Average Loss  0.917604, Time  0.449191
2021-09-28 16:43:35.972377 : Epoch  1, Batch    414, Loss  0.904923, Average Loss  0.917285, Time  0.447512
2021-09-28 16:43:41.917947 : Epoch  1, Batch    415, Loss  0.902105, Average Loss  0.916942, Time  0.447443
2021-09-28 16:43:47.863156 : Epoch  1, Batch    416, Loss  0.905986, Average Loss  0.916781, Time  0.451244
2021-09-28 16:43:53.818022 : Epoch  1, Batch    417, Loss  0.882221, Average Loss  0.916380, Time  0.445276
2021-09-28 16:43:59.761149 : Epoch  1, Batch    418, Loss  0.886350, Average Loss  0.915972, Time  0.445033
2021-09-28 16:44:05.712929 : Epoch  1, Batch    419, Loss  0.911986, Average Loss  0.915775, Time  0.457429
2021-09-28 16:44:11.659378 : Epoch  1, Batch    420, Loss  0.894432, Average Loss  0.915478, Time  0.446417
2021-09-28 16:44:17.595538 : Epoch  1, Batch    421, Loss  0.902377, Average Loss  0.915159, Time  0.446400
2021-09-28 16:44:23.529890 : Epoch  1, Batch    422, Loss  0.896508, Average Loss  0.914912, Time  0.446459
2021-09-28 16:44:29.483782 : Epoch  1, Batch    423, Loss  0.894378, Average Loss  0.914637, Time  0.448771
2021-09-28 16:44:35.432017 : Epoch  1, Batch    424, Loss  0.911235, Average Loss  0.914368, Time  0.448619
2021-09-28 16:44:41.391269 : Epoch  1, Batch    425, Loss  0.898239, Average Loss  0.914117, Time  0.446825
2021-09-28 16:44:47.339535 : Epoch  1, Batch    426, Loss  0.913937, Average Loss  0.913865, Time  0.447533
2021-09-28 16:44:53.311236 : Epoch  1, Batch    427, Loss  0.904365, Average Loss  0.913669, Time  0.458381
2021-09-28 16:44:59.263922 : Epoch  1, Batch    428, Loss  0.895326, Average Loss  0.913376, Time  0.446364
2021-09-28 16:45:05.223476 : Epoch  1, Batch    429, Loss  0.883015, Average Loss  0.913005, Time  0.447386
2021-09-28 16:45:11.169069 : Epoch  1, Batch    430, Loss  0.923149, Average Loss  0.912837, Time  0.446178
2021-09-28 16:45:17.101916 : Epoch  1, Batch    431, Loss  0.897368, Average Loss  0.912516, Time  0.445723
2021-09-28 16:45:23.042184 : Epoch  1, Batch    432, Loss  0.886353, Average Loss  0.912138, Time  0.448276
2021-09-28 16:45:28.997896 : Epoch  1, Batch    433, Loss  0.893252, Average Loss  0.911903, Time  0.448739
2021-09-28 16:45:34.954554 : Epoch  1, Batch    434, Loss  0.899390, Average Loss  0.911678, Time  0.448706
2021-09-28 16:45:40.915818 : Epoch  1, Batch    435, Loss  0.893419, Average Loss  0.911409, Time  0.461951
2021-09-28 16:45:46.854995 : Epoch  1, Batch    436, Loss  0.897401, Average Loss  0.911261, Time  0.446091
2021-09-28 16:45:52.808747 : Epoch  1, Batch    437, Loss  0.891008, Average Loss  0.911065, Time  0.449689
2021-09-28 16:45:58.764784 : Epoch  1, Batch    438, Loss  0.910557, Average Loss  0.910902, Time  0.446182
2021-09-28 16:46:04.703728 : Epoch  1, Batch    439, Loss  0.909340, Average Loss  0.910727, Time  0.449023
2021-09-28 16:46:10.655488 : Epoch  1, Batch    440, Loss  0.907645, Average Loss  0.910519, Time  0.447162
2021-09-28 16:46:16.594737 : Epoch  1, Batch    441, Loss  0.898067, Average Loss  0.910239, Time  0.446887
2021-09-28 16:46:22.540499 : Epoch  1, Batch    442, Loss  0.885665, Average Loss  0.909919, Time  0.449352
2021-09-28 16:46:28.510259 : Epoch  1, Batch    443, Loss  0.906742, Average Loss  0.909815, Time  0.462244
2021-09-28 16:46:34.458851 : Epoch  1, Batch    444, Loss  0.885715, Average Loss  0.909534, Time  0.450892
2021-09-28 16:46:40.400202 : Epoch  1, Batch    445, Loss  0.888358, Average Loss  0.909299, Time  0.446127
2021-09-28 16:46:46.347919 : Epoch  1, Batch    446, Loss  0.903286, Average Loss  0.909167, Time  0.445839
2021-09-28 16:46:52.292127 : Epoch  1, Batch    447, Loss  0.900434, Average Loss  0.909061, Time  0.446300
2021-09-28 16:46:58.236856 : Epoch  1, Batch    448, Loss  0.883015, Average Loss  0.908763, Time  0.448872
2021-09-28 16:47:04.186277 : Epoch  1, Batch    449, Loss  0.889235, Average Loss  0.908576, Time  0.445809
2021-09-28 16:47:10.138810 : Epoch  1, Batch    450, Loss  0.901837, Average Loss  0.908428, Time  0.446855
2021-09-28 16:47:16.088896 : Epoch  1, Batch    451, Loss  0.894143, Average Loss  0.908266, Time  0.453799
2021-09-28 16:47:22.044868 : Epoch  1, Batch    452, Loss  0.885624, Average Loss  0.908047, Time  0.446669
2021-09-28 16:47:27.989323 : Epoch  1, Batch    453, Loss  0.888640, Average Loss  0.907857, Time  0.448913
2021-09-28 16:47:33.956185 : Epoch  1, Batch    454, Loss  0.889105, Average Loss  0.907516, Time  0.447836
2021-09-28 16:47:39.922955 : Epoch  1, Batch    455, Loss  0.892076, Average Loss  0.907279, Time  0.447342
2021-09-28 16:47:45.878741 : Epoch  1, Batch    456, Loss  0.902116, Average Loss  0.907161, Time  0.446681
2021-09-28 16:47:51.824498 : Epoch  1, Batch    457, Loss  0.889770, Average Loss  0.906920, Time  0.447185
2021-09-28 16:47:57.792186 : Epoch  1, Batch    458, Loss  0.886091, Average Loss  0.906681, Time  0.460196
2021-09-28 16:48:03.738771 : Epoch  1, Batch    459, Loss  0.881250, Average Loss  0.906402, Time  0.445591
2021-09-28 16:48:09.702939 : Epoch  1, Batch    460, Loss  0.900223, Average Loss  0.906269, Time  0.445609
2021-09-28 16:48:15.661090 : Epoch  1, Batch    461, Loss  0.886631, Average Loss  0.906026, Time  0.446119
2021-09-28 16:48:21.604682 : Epoch  1, Batch    462, Loss  0.883485, Average Loss  0.905838, Time  0.445865
2021-09-28 16:48:27.560573 : Epoch  1, Batch    463, Loss  0.892585, Average Loss  0.905635, Time  0.446733
2021-09-28 16:48:33.527909 : Epoch  1, Batch    464, Loss  0.888805, Average Loss  0.905431, Time  0.452276
2021-09-28 16:48:39.471741 : Epoch  1, Batch    465, Loss  0.897013, Average Loss  0.905263, Time  0.448125
2021-09-28 16:48:45.441570 : Epoch  1, Batch    466, Loss  0.887664, Average Loss  0.905035, Time  0.458319
2021-09-28 16:48:51.396348 : Epoch  1, Batch    467, Loss  0.897903, Average Loss  0.904815, Time  0.445726
2021-09-28 16:48:57.364039 : Epoch  1, Batch    468, Loss  0.882599, Average Loss  0.904656, Time  0.447338
2021-09-28 16:49:03.300853 : Epoch  1, Batch    469, Loss  0.887883, Average Loss  0.904456, Time  0.445462
2021-09-28 16:49:09.254615 : Epoch  1, Batch    470, Loss  0.892430, Average Loss  0.904310, Time  0.446273
2021-09-28 16:49:15.188326 : Epoch  1, Batch    471, Loss  0.885367, Average Loss  0.904106, Time  0.446154
2021-09-28 16:49:21.135039 : Epoch  1, Batch    472, Loss  0.886241, Average Loss  0.903982, Time  0.445544
2021-09-28 16:49:27.085270 : Epoch  1, Batch    473, Loss  0.876969, Average Loss  0.903782, Time  0.450002
2021-09-28 16:49:33.056645 : Epoch  1, Batch    474, Loss  0.876796, Average Loss  0.903522, Time  0.461575
2021-09-28 16:49:39.012840 : Epoch  1, Batch    475, Loss  0.882521, Average Loss  0.903304, Time  0.448525
2021-09-28 16:49:44.963212 : Epoch  1, Batch    476, Loss  0.903718, Average Loss  0.903210, Time  0.447900
2021-09-28 16:49:50.910536 : Epoch  1, Batch    477, Loss  0.889304, Average Loss  0.903083, Time  0.446079
2021-09-28 16:49:56.863880 : Epoch  1, Batch    478, Loss  0.900360, Average Loss  0.902903, Time  0.446750
2021-09-28 16:50:02.806477 : Epoch  1, Batch    479, Loss  0.898866, Average Loss  0.902757, Time  0.447015
2021-09-28 16:50:08.757817 : Epoch  1, Batch    480, Loss  0.893362, Average Loss  0.902598, Time  0.447520
2021-09-28 16:50:14.712912 : Epoch  1, Batch    481, Loss  0.891647, Average Loss  0.902452, Time  0.455788
2021-09-28 16:50:20.656604 : Epoch  1, Batch    482, Loss  0.887964, Average Loss  0.902246, Time  0.448019
2021-09-28 16:50:26.604121 : Epoch  1, Batch    483, Loss  0.885541, Average Loss  0.902053, Time  0.446101
2021-09-28 16:50:32.558249 : Epoch  1, Batch    484, Loss  0.884527, Average Loss  0.901882, Time  0.447518
2021-09-28 16:50:38.514394 : Epoch  1, Batch    485, Loss  0.893513, Average Loss  0.901747, Time  0.450773
2021-09-28 16:50:44.458498 : Epoch  1, Batch    486, Loss  0.885540, Average Loss  0.901617, Time  0.446670
2021-09-28 16:50:50.409203 : Epoch  1, Batch    487, Loss  0.889195, Average Loss  0.901478, Time  0.447986
2021-09-28 16:50:56.363922 : Epoch  1, Batch    488, Loss  0.900879, Average Loss  0.901411, Time  0.449457
2021-09-28 16:51:02.321970 : Epoch  1, Batch    489, Loss  0.894909, Average Loss  0.901314, Time  0.460436
2021-09-28 16:51:08.264357 : Epoch  1, Batch    490, Loss  0.876853, Average Loss  0.901163, Time  0.448663
2021-09-28 16:51:14.222809 : Epoch  1, Batch    491, Loss  0.883847, Average Loss  0.900980, Time  0.445587
2021-09-28 16:51:20.158879 : Epoch  1, Batch    492, Loss  0.878969, Average Loss  0.900736, Time  0.446152
2021-09-28 16:51:26.119799 : Epoch  1, Batch    493, Loss  0.890041, Average Loss  0.900599, Time  0.445266
2021-09-28 16:51:32.081580 : Epoch  1, Batch    494, Loss  0.897758, Average Loss  0.900466, Time  0.447743
2021-09-28 16:51:38.045975 : Epoch  1, Batch    495, Loss  0.890519, Average Loss  0.900327, Time  0.448052
2021-09-28 16:51:43.984960 : Epoch  1, Batch    496, Loss  0.904736, Average Loss  0.900235, Time  0.445769
2021-09-28 16:51:49.953926 : Epoch  1, Batch    497, Loss  0.894281, Average Loss  0.900162, Time  0.455729
2021-09-28 16:51:55.927183 : Epoch  1, Batch    498, Loss  0.901177, Average Loss  0.900035, Time  0.447077
2021-09-28 16:52:01.877898 : Epoch  1, Batch    499, Loss  0.891905, Average Loss  0.899919, Time  0.445357
2021-09-28 16:52:07.846081 : Epoch  1, Batch    500, Loss  0.896602, Average Loss  0.899844, Time  0.446948
2021-09-28 16:56:50.045150 : CheckPoint: Validation Loss  0.00015663, Best Loss  0.00015264
2021-09-28 16:56:56.001683 : Epoch  1, Batch    501, Loss  0.884350, Average Loss  0.899772, Time  0.448310
2021-09-28 16:57:01.950123 : Epoch  1, Batch    502, Loss  0.884382, Average Loss  0.899710, Time  0.446351
2021-09-28 16:57:07.918131 : Epoch  1, Batch    503, Loss  0.896598, Average Loss  0.899620, Time  0.460605
2021-09-28 16:57:13.891305 : Epoch  1, Batch    504, Loss  0.889280, Average Loss  0.899488, Time  0.446649
2021-09-28 16:57:19.849924 : Epoch  1, Batch    505, Loss  0.884487, Average Loss  0.899340, Time  0.447442
2021-09-28 16:57:25.798267 : Epoch  1, Batch    506, Loss  0.895113, Average Loss  0.899269, Time  0.447484
2021-09-28 16:57:31.762354 : Epoch  1, Batch    507, Loss  0.899112, Average Loss  0.899153, Time  0.445484
2021-09-28 16:57:37.729340 : Epoch  1, Batch    508, Loss  0.885607, Average Loss  0.899011, Time  0.447800
2021-09-28 16:57:43.702893 : Epoch  1, Batch    509, Loss  0.874817, Average Loss  0.898789, Time  0.446038
2021-09-28 16:57:49.675651 : Epoch  1, Batch    510, Loss  0.897610, Average Loss  0.898741, Time  0.460660
2021-09-28 16:57:55.648016 : Epoch  1, Batch    511, Loss  0.903130, Average Loss  0.898719, Time  0.447513
2021-09-28 16:58:01.606804 : Epoch  1, Batch    512, Loss  0.890863, Average Loss  0.898554, Time  0.445737
2021-09-28 16:58:07.570347 : Epoch  1, Batch    513, Loss  0.893851, Average Loss  0.898471, Time  0.445928
2021-09-28 16:58:13.528063 : Epoch  1, Batch    514, Loss  0.895915, Average Loss  0.898361, Time  0.447095
2021-09-28 16:58:19.488151 : Epoch  1, Batch    515, Loss  0.877667, Average Loss  0.898132, Time  0.450231
2021-09-28 16:58:25.455201 : Epoch  1, Batch    516, Loss  0.885536, Average Loss  0.898037, Time  0.447076
2021-09-28 16:58:31.403665 : Epoch  1, Batch    517, Loss  0.889442, Average Loss  0.897962, Time  0.448176
2021-09-28 16:58:37.371980 : Epoch  1, Batch    518, Loss  0.885590, Average Loss  0.897764, Time  0.457380
2021-09-28 16:58:43.337536 : Epoch  1, Batch    519, Loss  0.909025, Average Loss  0.897785, Time  0.446467
2021-09-28 16:58:49.284865 : Epoch  1, Batch    520, Loss  0.901599, Average Loss  0.897769, Time  0.447278
2021-09-28 16:58:55.225730 : Epoch  1, Batch    521, Loss  0.882405, Average Loss  0.897688, Time  0.447798
2021-09-28 16:59:01.159740 : Epoch  1, Batch    522, Loss  0.888272, Average Loss  0.897504, Time  0.445005
2021-09-28 16:59:07.121448 : Epoch  1, Batch    523, Loss  0.878104, Average Loss  0.897214, Time  0.447756
2021-09-28 16:59:13.070789 : Epoch  1, Batch    524, Loss  0.904636, Average Loss  0.897273, Time  0.448480
2021-09-28 16:59:19.026815 : Epoch  1, Batch    525, Loss  0.876585, Average Loss  0.897082, Time  0.446783
2021-09-28 16:59:25.011909 : Epoch  1, Batch    526, Loss  0.887075, Average Loss  0.896982, Time  0.459126
2021-09-28 16:59:30.959477 : Epoch  1, Batch    527, Loss  0.891091, Average Loss  0.896982, Time  0.446283
2021-09-28 16:59:36.914808 : Epoch  1, Batch    528, Loss  0.887300, Average Loss  0.896829, Time  0.446413
2021-09-28 16:59:42.873342 : Epoch  1, Batch    529, Loss  0.879064, Average Loss  0.896754, Time  0.448952
2021-09-28 16:59:48.820197 : Epoch  1, Batch    530, Loss  0.896634, Average Loss  0.896697, Time  0.445997
2021-09-28 16:59:54.772817 : Epoch  1, Batch    531, Loss  0.890282, Average Loss  0.896585, Time  0.450195
2021-09-28 17:00:00.712779 : Epoch  1, Batch    532, Loss  0.884717, Average Loss  0.896500, Time  0.445255
2021-09-28 17:00:06.685723 : Epoch  1, Batch    533, Loss  0.895323, Average Loss  0.896421, Time  0.460221
2021-09-28 17:00:12.625321 : Epoch  1, Batch    534, Loss  0.892827, Average Loss  0.896379, Time  0.446587
2021-09-28 17:00:18.586814 : Epoch  1, Batch    535, Loss  0.900805, Average Loss  0.896327, Time  0.446419
2021-09-28 17:00:24.536371 : Epoch  1, Batch    536, Loss  0.907664, Average Loss  0.896306, Time  0.447971
2021-09-28 17:00:30.491004 : Epoch  1, Batch    537, Loss  0.894110, Average Loss  0.896258, Time  0.448133
2021-09-28 17:00:36.444276 : Epoch  1, Batch    538, Loss  0.901271, Average Loss  0.896196, Time  0.448879
2021-09-28 17:00:42.395578 : Epoch  1, Batch    539, Loss  0.901068, Average Loss  0.896233, Time  0.445786
2021-09-28 17:00:48.360885 : Epoch  1, Batch    540, Loss  0.896668, Average Loss  0.896188, Time  0.450341
2021-09-28 17:00:54.332006 : Epoch  1, Batch    541, Loss  0.885418, Average Loss  0.896089, Time  0.465608
2021-09-28 17:01:00.304947 : Epoch  1, Batch    542, Loss  0.899703, Average Loss  0.896071, Time  0.447067
2021-09-28 17:01:06.242839 : Epoch  1, Batch    543, Loss  0.889731, Average Loss  0.895986, Time  0.445241
2021-09-28 17:01:12.209823 : Epoch  1, Batch    544, Loss  0.885944, Average Loss  0.895959, Time  0.446590
2021-09-28 17:01:18.178652 : Epoch  1, Batch    545, Loss  0.881008, Average Loss  0.895881, Time  0.448301
2021-09-28 17:01:24.126440 : Epoch  1, Batch    546, Loss  0.900776, Average Loss  0.895876, Time  0.447668
2021-09-28 17:01:30.117120 : Epoch  1, Batch    547, Loss  0.876129, Average Loss  0.895711, Time  0.449102
2021-09-28 17:01:36.070011 : Epoch  1, Batch    548, Loss  0.876435, Average Loss  0.895583, Time  0.449372
2021-09-28 17:01:42.045449 : Epoch  1, Batch    549, Loss  0.889545, Average Loss  0.895498, Time  0.458965
2021-09-28 17:01:48.005131 : Epoch  1, Batch    550, Loss  0.894128, Average Loss  0.895461, Time  0.446580
2021-09-28 17:01:53.968225 : Epoch  1, Batch    551, Loss  0.908146, Average Loss  0.895539, Time  0.445444
2021-09-28 17:01:59.931249 : Epoch  1, Batch    552, Loss  0.896173, Average Loss  0.895467, Time  0.446580
2021-09-28 17:02:05.881807 : Epoch  1, Batch    553, Loss  0.901556, Average Loss  0.895459, Time  0.447633
2021-09-28 17:02:11.838799 : Epoch  1, Batch    554, Loss  0.887531, Average Loss  0.895366, Time  0.445570
2021-09-28 17:02:17.814621 : Epoch  1, Batch    555, Loss  0.886531, Average Loss  0.895237, Time  0.446535
2021-09-28 17:02:23.791534 : Epoch  1, Batch    556, Loss  0.888514, Average Loss  0.895209, Time  0.461177
2021-09-28 17:02:29.750327 : Epoch  1, Batch    557, Loss  0.879860, Average Loss  0.895127, Time  0.447144
2021-09-28 17:02:35.700304 : Epoch  1, Batch    558, Loss  0.875627, Average Loss  0.895015, Time  0.451604
2021-09-28 17:02:41.659812 : Epoch  1, Batch    559, Loss  0.888575, Average Loss  0.894921, Time  0.446503
2021-09-28 17:02:47.627302 : Epoch  1, Batch    560, Loss  0.888282, Average Loss  0.894868, Time  0.447103
2021-09-28 17:02:53.591358 : Epoch  1, Batch    561, Loss  0.876698, Average Loss  0.894731, Time  0.448295
2021-09-28 17:02:59.556265 : Epoch  1, Batch    562, Loss  0.869231, Average Loss  0.894539, Time  0.447298
2021-09-28 17:03:05.522566 : Epoch  1, Batch    563, Loss  0.887661, Average Loss  0.894507, Time  0.446568
2021-09-28 17:03:11.491031 : Epoch  1, Batch    564, Loss  0.886944, Average Loss  0.894387, Time  0.453415
2021-09-28 17:03:17.458930 : Epoch  1, Batch    565, Loss  0.895016, Average Loss  0.894303, Time  0.445897
2021-09-28 17:03:23.422842 : Epoch  1, Batch    566, Loss  0.890211, Average Loss  0.894215, Time  0.451098
2021-09-28 17:03:29.367782 : Epoch  1, Batch    567, Loss  0.890472, Average Loss  0.894200, Time  0.447883
2021-09-28 17:03:35.330063 : Epoch  1, Batch    568, Loss  0.881238, Average Loss  0.894104, Time  0.447480
2021-09-28 17:03:41.289186 : Epoch  1, Batch    569, Loss  0.897978, Average Loss  0.894094, Time  0.445887
2021-09-28 17:03:47.251806 : Epoch  1, Batch    570, Loss  0.885970, Average Loss  0.894045, Time  0.447389
2021-09-28 17:03:53.210201 : Epoch  1, Batch    571, Loss  0.869749, Average Loss  0.893812, Time  0.447067
2021-09-28 17:03:59.187201 : Epoch  1, Batch    572, Loss  0.875879, Average Loss  0.893621, Time  0.460654
2021-09-28 17:04:05.146579 : Epoch  1, Batch    573, Loss  0.887778, Average Loss  0.893586, Time  0.447227
2021-09-28 17:04:11.106883 : Epoch  1, Batch    574, Loss  0.886345, Average Loss  0.893560, Time  0.446255
2021-09-28 17:04:17.062053 : Epoch  1, Batch    575, Loss  0.877708, Average Loss  0.893451, Time  0.446008
2021-09-28 17:04:23.027840 : Epoch  1, Batch    576, Loss  0.903664, Average Loss  0.893433, Time  0.449747
2021-09-28 17:04:28.995962 : Epoch  1, Batch    577, Loss  0.888616, Average Loss  0.893389, Time  0.446853
2021-09-28 17:04:34.945136 : Epoch  1, Batch    578, Loss  0.880358, Average Loss  0.893348, Time  0.450810
2021-09-28 17:04:40.921835 : Epoch  1, Batch    579, Loss  0.873219, Average Loss  0.893214, Time  0.462296
2021-09-28 17:04:46.886871 : Epoch  1, Batch    580, Loss  0.898236, Average Loss  0.893294, Time  0.447203
2021-09-28 17:04:52.852829 : Epoch  1, Batch    581, Loss  0.896513, Average Loss  0.893226, Time  0.445771
2021-09-28 17:04:58.810714 : Epoch  1, Batch    582, Loss  0.876573, Average Loss  0.893066, Time  0.446785
2021-09-28 17:05:04.771761 : Epoch  1, Batch    583, Loss  0.894349, Average Loss  0.892990, Time  0.448262
2021-09-28 17:05:10.728868 : Epoch  1, Batch    584, Loss  0.871598, Average Loss  0.892876, Time  0.447080
2021-09-28 17:05:16.700062 : Epoch  1, Batch    585, Loss  0.902675, Average Loss  0.892968, Time  0.449075
2021-09-28 17:05:22.665340 : Epoch  1, Batch    586, Loss  0.895513, Average Loss  0.893006, Time  0.449539
2021-09-28 17:05:28.636644 : Epoch  1, Batch    587, Loss  0.874929, Average Loss  0.892885, Time  0.458226
2021-09-28 17:05:34.594065 : Epoch  1, Batch    588, Loss  0.866447, Average Loss  0.892660, Time  0.448009
2021-09-28 17:05:40.563794 : Epoch  1, Batch    589, Loss  0.890509, Average Loss  0.892675, Time  0.448863
2021-09-28 17:05:46.524112 : Epoch  1, Batch    590, Loss  0.885400, Average Loss  0.892517, Time  0.445967
2021-09-28 17:05:52.494283 : Epoch  1, Batch    591, Loss  0.886002, Average Loss  0.892416, Time  0.445776
2021-09-28 17:05:58.449886 : Epoch  1, Batch    592, Loss  0.884173, Average Loss  0.892321, Time  0.445982
2021-09-28 17:06:04.400486 : Epoch  1, Batch    593, Loss  0.880238, Average Loss  0.892181, Time  0.445549
2021-09-28 17:06:10.363328 : Epoch  1, Batch    594, Loss  0.890334, Average Loss  0.892144, Time  0.451205
2021-09-28 17:06:16.318611 : Epoch  1, Batch    595, Loss  0.879288, Average Loss  0.892036, Time  0.457164
2021-09-28 17:06:22.285775 : Epoch  1, Batch    596, Loss  0.888336, Average Loss  0.892001, Time  0.446848
2021-09-28 17:06:28.250694 : Epoch  1, Batch    597, Loss  0.894151, Average Loss  0.891976, Time  0.449052
2021-09-28 17:06:34.205253 : Epoch  1, Batch    598, Loss  0.895479, Average Loss  0.891911, Time  0.448026
2021-09-28 17:06:40.187984 : Epoch  1, Batch    599, Loss  0.885420, Average Loss  0.891797, Time  0.450010
2021-09-28 17:06:46.155893 : Epoch  1, Batch    600, Loss  0.880108, Average Loss  0.891666, Time  0.445519
2021-09-28 17:11:28.315765 : CheckPoint: Validation Loss  0.00015162, Best Loss  0.00015162
2021-09-28 17:11:28.351644 : Best Model Updated
2021-09-28 17:11:34.898080 : Epoch  1, Batch    601, Loss  0.888751, Average Loss  0.891511, Time  0.463109
2021-09-28 17:11:40.847438 : Epoch  1, Batch    602, Loss  0.882782, Average Loss  0.891408, Time  0.445455
2021-09-28 17:11:46.802789 : Epoch  1, Batch    603, Loss  0.905093, Average Loss  0.891446, Time  0.445791
2021-09-28 17:11:52.743183 : Epoch  1, Batch    604, Loss  0.886852, Average Loss  0.891407, Time  0.447968
2021-09-28 17:11:58.708376 : Epoch  1, Batch    605, Loss  0.886849, Average Loss  0.891347, Time  0.446816
2021-09-28 17:12:04.672569 : Epoch  1, Batch    606, Loss  0.897438, Average Loss  0.891243, Time  0.445789
2021-09-28 17:12:10.634715 : Epoch  1, Batch    607, Loss  0.894053, Average Loss  0.891192, Time  0.448480
2021-09-28 17:12:16.600699 : Epoch  1, Batch    608, Loss  0.895741, Average Loss  0.891212, Time  0.456854
2021-09-28 17:12:22.571066 : Epoch  1, Batch    609, Loss  0.893687, Average Loss  0.891274, Time  0.450153
2021-09-28 17:12:28.547753 : Epoch  1, Batch    610, Loss  0.895346, Average Loss  0.891225, Time  0.446151
2021-09-28 17:12:34.514240 : Epoch  1, Batch    611, Loss  0.881586, Average Loss  0.891165, Time  0.447385
2021-09-28 17:12:40.478903 : Epoch  1, Batch    612, Loss  0.900959, Average Loss  0.891132, Time  0.445940
2021-09-28 17:12:46.427512 : Epoch  1, Batch    613, Loss  0.873755, Average Loss  0.891010, Time  0.445536
2021-09-28 17:12:52.390906 : Epoch  1, Batch    614, Loss  0.875597, Average Loss  0.890863, Time  0.445684
2021-09-28 17:12:58.362668 : Epoch  1, Batch    615, Loss  0.888063, Average Loss  0.890793, Time  0.451594
2021-09-28 17:13:04.341474 : Epoch  1, Batch    616, Loss  0.891244, Average Loss  0.890719, Time  0.463311
2021-09-28 17:13:10.306600 : Epoch  1, Batch    617, Loss  0.895068, Average Loss  0.890783, Time  0.446988
2021-09-28 17:13:16.281551 : Epoch  1, Batch    618, Loss  0.892868, Average Loss  0.890816, Time  0.447244
2021-09-28 17:13:22.249338 : Epoch  1, Batch    619, Loss  0.869903, Average Loss  0.890606, Time  0.447387
2021-09-28 17:13:28.224938 : Epoch  1, Batch    620, Loss  0.878554, Average Loss  0.890526, Time  0.448774
2021-09-28 17:13:34.177065 : Epoch  1, Batch    621, Loss  0.898554, Average Loss  0.890507, Time  0.447409
2021-09-28 17:13:40.134803 : Epoch  1, Batch    622, Loss  0.884957, Average Loss  0.890449, Time  0.446846
2021-09-28 17:13:46.109799 : Epoch  1, Batch    623, Loss  0.875083, Average Loss  0.890353, Time  0.459373
2021-09-28 17:13:52.072405 : Epoch  1, Batch    624, Loss  0.869996, Average Loss  0.890147, Time  0.448354
2021-09-28 17:13:58.046784 : Epoch  1, Batch    625, Loss  0.890199, Average Loss  0.890106, Time  0.446738
2021-09-28 17:14:04.007466 : Epoch  1, Batch    626, Loss  0.879627, Average Loss  0.889935, Time  0.449819
2021-09-28 17:14:09.973901 : Epoch  1, Batch    627, Loss  0.889962, Average Loss  0.889863, Time  0.450283
2021-09-28 17:14:15.966962 : Epoch  1, Batch    628, Loss  0.893266, Average Loss  0.889853, Time  0.446602
2021-09-28 17:14:21.916741 : Epoch  1, Batch    629, Loss  0.875434, Average Loss  0.889815, Time  0.446154
2021-09-28 17:14:27.874536 : Epoch  1, Batch    630, Loss  0.895673, Average Loss  0.889677, Time  0.447709
2021-09-28 17:14:33.855013 : Epoch  1, Batch    631, Loss  0.894471, Average Loss  0.889663, Time  0.462769
2021-09-28 17:14:39.830847 : Epoch  1, Batch    632, Loss  0.896405, Average Loss  0.889713, Time  0.446089
2021-09-28 17:14:45.791453 : Epoch  1, Batch    633, Loss  0.894693, Average Loss  0.889720, Time  0.446059
2021-09-28 17:14:51.748415 : Epoch  1, Batch    634, Loss  0.896295, Average Loss  0.889705, Time  0.447987
2021-09-28 17:14:57.708815 : Epoch  1, Batch    635, Loss  0.894712, Average Loss  0.889711, Time  0.447754
2021-09-28 17:15:03.664897 : Epoch  1, Batch    636, Loss  0.903762, Average Loss  0.889743, Time  0.447603
2021-09-28 17:15:09.635895 : Epoch  1, Batch    637, Loss  0.892933, Average Loss  0.889753, Time  0.449076
2021-09-28 17:15:15.598299 : Epoch  1, Batch    638, Loss  0.900285, Average Loss  0.889701, Time  0.448029
2021-09-28 17:15:21.572865 : Epoch  1, Batch    639, Loss  0.878394, Average Loss  0.889547, Time  0.460335
2021-09-28 17:15:27.527551 : Epoch  1, Batch    640, Loss  0.884643, Average Loss  0.889432, Time  0.446170
2021-09-28 17:15:33.507015 : Epoch  1, Batch    641, Loss  0.884740, Average Loss  0.889365, Time  0.450902
2021-09-28 17:15:39.469853 : Epoch  1, Batch    642, Loss  0.884837, Average Loss  0.889361, Time  0.445481
2021-09-28 17:15:45.442804 : Epoch  1, Batch    643, Loss  0.892535, Average Loss  0.889290, Time  0.445804
2021-09-28 17:15:51.410377 : Epoch  1, Batch    644, Loss  0.877777, Average Loss  0.889250, Time  0.445925
2021-09-28 17:15:57.362147 : Epoch  1, Batch    645, Loss  0.880100, Average Loss  0.889209, Time  0.447253
2021-09-28 17:16:03.336874 : Epoch  1, Batch    646, Loss  0.882710, Average Loss  0.889106, Time  0.448105
2021-09-28 17:16:09.312819 : Epoch  1, Batch    647, Loss  0.879555, Average Loss  0.889002, Time  0.461691
2021-09-28 17:16:15.285649 : Epoch  1, Batch    648, Loss  0.881676, Average Loss  0.888995, Time  0.447287
2021-09-28 17:16:21.249912 : Epoch  1, Batch    649, Loss  0.876239, Average Loss  0.888930, Time  0.452868
2021-09-28 17:16:27.217854 : Epoch  1, Batch    650, Loss  0.880935, Average Loss  0.888825, Time  0.446036
2021-09-28 17:16:33.187812 : Epoch  1, Batch    651, Loss  0.868586, Average Loss  0.888698, Time  0.447047
2021-09-28 17:16:39.153886 : Epoch  1, Batch    652, Loss  0.883457, Average Loss  0.888687, Time  0.449491
2021-09-28 17:16:45.127025 : Epoch  1, Batch    653, Loss  0.897637, Average Loss  0.888732, Time  0.445012
2021-09-28 17:16:51.103173 : Epoch  1, Batch    654, Loss  0.886297, Average Loss  0.888718, Time  0.459916
2021-09-28 17:16:57.055946 : Epoch  1, Batch    655, Loss  0.873548, Average Loss  0.888625, Time  0.449233
2021-09-28 17:17:03.018027 : Epoch  1, Batch    656, Loss  0.882883, Average Loss  0.888529, Time  0.446085
2021-09-28 17:17:08.980806 : Epoch  1, Batch    657, Loss  0.887435, Average Loss  0.888517, Time  0.446650
2021-09-28 17:17:14.938174 : Epoch  1, Batch    658, Loss  0.886911, Average Loss  0.888521, Time  0.447949
2021-09-28 17:17:20.907676 : Epoch  1, Batch    659, Loss  0.889527, Average Loss  0.888563, Time  0.447859
2021-09-28 17:17:26.870482 : Epoch  1, Batch    660, Loss  0.894798, Average Loss  0.888536, Time  0.446171
2021-09-28 17:17:32.841887 : Epoch  1, Batch    661, Loss  0.900654, Average Loss  0.888606, Time  0.446905
2021-09-28 17:17:38.816517 : Epoch  1, Batch    662, Loss  0.888462, Average Loss  0.888631, Time  0.454127
2021-09-28 17:17:44.791281 : Epoch  1, Batch    663, Loss  0.891162, Average Loss  0.888623, Time  0.447284
2021-09-28 17:17:50.748401 : Epoch  1, Batch    664, Loss  0.890473, Average Loss  0.888632, Time  0.445892
2021-09-28 17:17:56.720195 : Epoch  1, Batch    665, Loss  0.892720, Average Loss  0.888610, Time  0.447165
2021-09-28 17:18:02.686750 : Epoch  1, Batch    666, Loss  0.887814, Average Loss  0.888611, Time  0.449644
2021-09-28 17:18:08.651301 : Epoch  1, Batch    667, Loss  0.882596, Average Loss  0.888535, Time  0.446543
2021-09-28 17:18:14.630770 : Epoch  1, Batch    668, Loss  0.877530, Average Loss  0.888509, Time  0.449264
2021-09-28 17:18:20.610768 : Epoch  1, Batch    669, Loss  0.899162, Average Loss  0.888566, Time  0.452405
2021-09-28 17:18:26.576298 : Epoch  1, Batch    670, Loss  0.883586, Average Loss  0.888521, Time  0.458132
2021-09-28 17:18:32.562253 : Epoch  1, Batch    671, Loss  0.892466, Average Loss  0.888557, Time  0.447448
2021-09-28 17:18:38.525826 : Epoch  1, Batch    672, Loss  0.898260, Average Loss  0.888617, Time  0.449186
2021-09-28 17:18:44.493365 : Epoch  1, Batch    673, Loss  0.887077, Average Loss  0.888667, Time  0.445652
2021-09-28 17:18:50.455950 : Epoch  1, Batch    674, Loss  0.867304, Average Loss  0.888620, Time  0.448459
2021-09-28 17:18:56.431485 : Epoch  1, Batch    675, Loss  0.879596, Average Loss  0.888605, Time  0.448161
2021-09-28 17:19:02.383825 : Epoch  1, Batch    676, Loss  0.893299, Average Loss  0.888553, Time  0.445766
2021-09-28 17:19:08.355552 : Epoch  1, Batch    677, Loss  0.884120, Average Loss  0.888527, Time  0.446489
2021-09-28 17:19:14.345042 : Epoch  1, Batch    678, Loss  0.888601, Average Loss  0.888469, Time  0.461000
2021-09-28 17:19:20.313613 : Epoch  1, Batch    679, Loss  0.873289, Average Loss  0.888341, Time  0.447840
2021-09-28 17:19:26.287406 : Epoch  1, Batch    680, Loss  0.881160, Average Loss  0.888280, Time  0.446836
2021-09-28 17:19:32.259207 : Epoch  1, Batch    681, Loss  0.898446, Average Loss  0.888314, Time  0.447501
2021-09-28 17:19:38.215819 : Epoch  1, Batch    682, Loss  0.882878, Average Loss  0.888288, Time  0.445642
2021-09-28 17:19:44.193347 : Epoch  1, Batch    683, Loss  0.896294, Average Loss  0.888342, Time  0.447323
2021-09-28 17:19:50.164143 : Epoch  1, Batch    684, Loss  0.898434, Average Loss  0.888412, Time  0.446167
2021-09-28 17:19:56.152923 : Epoch  1, Batch    685, Loss  0.894442, Average Loss  0.888416, Time  0.462064
2021-09-28 17:20:02.108724 : Epoch  1, Batch    686, Loss  0.879569, Average Loss  0.888386, Time  0.446033
2021-09-28 17:20:08.062305 : Epoch  1, Batch    687, Loss  0.882596, Average Loss  0.888353, Time  0.447537
2021-09-28 17:20:14.027856 : Epoch  1, Batch    688, Loss  0.866551, Average Loss  0.888182, Time  0.448957
2021-09-28 17:20:20.012672 : Epoch  1, Batch    689, Loss  0.889987, Average Loss  0.888157, Time  0.449004
2021-09-28 17:20:25.981945 : Epoch  1, Batch    690, Loss  0.891515, Average Loss  0.888230, Time  0.450287
2021-09-28 17:20:31.947338 : Epoch  1, Batch    691, Loss  0.887704, Average Loss  0.888250, Time  0.447554
2021-09-28 17:20:37.926992 : Epoch  1, Batch    692, Loss  0.891927, Average Loss  0.888314, Time  0.450844
2021-09-28 17:20:43.906918 : Epoch  1, Batch    693, Loss  0.902414, Average Loss  0.888376, Time  0.461660
2021-09-28 17:20:49.874726 : Epoch  1, Batch    694, Loss  0.883452, Average Loss  0.888305, Time  0.448942
2021-09-28 17:20:55.838806 : Epoch  1, Batch    695, Loss  0.889707, Average Loss  0.888301, Time  0.448282
2021-09-28 17:21:01.796787 : Epoch  1, Batch    696, Loss  0.873936, Average Loss  0.888147, Time  0.446438
2021-09-28 17:21:07.774597 : Epoch  1, Batch    697, Loss  0.904792, Average Loss  0.888199, Time  0.448998
2021-09-28 17:21:13.762477 : Epoch  1, Batch    698, Loss  0.905675, Average Loss  0.888222, Time  0.455328
2021-09-28 17:21:19.721812 : Epoch  1, Batch    699, Loss  0.891465, Average Loss  0.888220, Time  0.448711
2021-09-28 17:21:25.694139 : Epoch  1, Batch    700, Loss  0.882665, Average Loss  0.888150, Time  0.461184
2021-09-28 17:26:02.356008 : CheckPoint: Validation Loss  0.00015362, Best Loss  0.00015162
2021-09-28 17:26:07.738447 : Epoch  1, Batch    701, Loss  0.884778, Average Loss  0.888152, Time  0.445042
2021-09-28 17:26:13.105555 : Epoch  1, Batch    702, Loss  0.891064, Average Loss  0.888185, Time  0.441485
2021-09-28 17:26:18.518460 : Epoch  1, Batch    703, Loss  0.876083, Average Loss  0.888083, Time  0.441845
2021-09-28 17:26:23.894461 : Epoch  1, Batch    704, Loss  0.879570, Average Loss  0.888034, Time  0.441550
2021-09-28 17:26:29.249165 : Epoch  1, Batch    705, Loss  0.903744, Average Loss  0.888131, Time  0.441510
2021-09-28 17:26:34.584470 : Epoch  1, Batch    706, Loss  0.882944, Average Loss  0.888070, Time  0.440974
2021-09-28 17:26:39.945085 : Epoch  1, Batch    707, Loss  0.881189, Average Loss  0.887980, Time  0.441919
2021-09-28 17:26:45.299717 : Epoch  1, Batch    708, Loss  0.874080, Average Loss  0.887923, Time  0.441306
2021-09-28 17:26:50.651202 : Epoch  1, Batch    709, Loss  0.883705, Average Loss  0.887967, Time  0.451709
2021-09-28 17:26:56.025130 : Epoch  1, Batch    710, Loss  0.898520, Average Loss  0.887972, Time  0.443586
2021-09-28 17:27:01.773668 : Epoch  1, Batch    711, Loss  0.879840, Average Loss  0.887855, Time  0.444361
2021-09-28 17:27:07.570010 : Epoch  1, Batch    712, Loss  0.873648, Average Loss  0.887769, Time  0.447345
2021-09-28 17:27:13.127769 : Epoch  1, Batch    713, Loss  0.873144, Average Loss  0.887665, Time  0.444763
2021-09-28 17:27:18.890847 : Epoch  1, Batch    714, Loss  0.882865, Average Loss  0.887600, Time  0.445526
2021-09-28 17:27:24.424678 : Epoch  1, Batch    715, Loss  0.878054, Average Loss  0.887602, Time  0.443877
2021-09-28 17:27:30.091367 : Epoch  1, Batch    716, Loss  0.875233, Average Loss  0.887551, Time  0.445677
2021-09-28 17:27:35.755578 : Epoch  1, Batch    717, Loss  0.874703, Average Loss  0.887477, Time  0.455911
2021-09-28 17:27:41.285419 : Epoch  1, Batch    718, Loss  0.879960, Average Loss  0.887449, Time  0.443145
2021-09-28 17:27:46.967974 : Epoch  1, Batch    719, Loss  0.868882, Average Loss  0.887248, Time  0.444586
2021-09-28 17:27:52.735911 : Epoch  1, Batch    720, Loss  0.878143, Average Loss  0.887131, Time  0.446903
2021-09-28 17:27:58.279185 : Epoch  1, Batch    721, Loss  0.880184, Average Loss  0.887120, Time  0.446341
2021-09-28 17:28:04.061170 : Epoch  1, Batch    722, Loss  0.878473, Average Loss  0.887071, Time  0.446495
2021-09-28 17:28:09.844640 : Epoch  1, Batch    723, Loss  0.902272, Average Loss  0.887192, Time  0.445379
2021-09-28 17:28:15.457803 : Epoch  1, Batch    724, Loss  0.867040, Average Loss  0.887004, Time  0.445275
2021-09-28 17:28:20.862356 : Epoch  1, Batch    725, Loss  0.884053, Average Loss  0.887041, Time  0.453950
2021-09-28 17:28:26.258393 : Epoch  1, Batch    726, Loss  0.889736, Average Loss  0.887054, Time  0.444115
2021-09-28 17:28:31.642556 : Epoch  1, Batch    727, Loss  0.880298, Average Loss  0.887000, Time  0.441666
2021-09-28 17:28:36.985923 : Epoch  1, Batch    728, Loss  0.885990, Average Loss  0.886994, Time  0.442073
2021-09-28 17:28:42.379877 : Epoch  1, Batch    729, Loss  0.891890, Average Loss  0.887058, Time  0.444806
2021-09-28 17:28:47.794422 : Epoch  1, Batch    730, Loss  0.882477, Average Loss  0.886987, Time  0.442487
2021-09-28 17:28:53.221345 : Epoch  1, Batch    731, Loss  0.881280, Average Loss  0.886942, Time  0.441926
2021-09-28 17:28:58.540168 : Epoch  1, Batch    732, Loss  0.873285, Average Loss  0.886885, Time  0.441332
2021-09-28 17:29:03.906840 : Epoch  1, Batch    733, Loss  0.883738, Average Loss  0.886827, Time  0.441325
2021-09-28 17:29:09.314363 : Epoch  1, Batch    734, Loss  0.885079, Average Loss  0.886788, Time  0.454275
2021-09-28 17:29:14.675529 : Epoch  1, Batch    735, Loss  0.888064, Average Loss  0.886724, Time  0.441734
2021-09-28 17:29:20.056423 : Epoch  1, Batch    736, Loss  0.879402, Average Loss  0.886583, Time  0.443230
2021-09-28 17:29:25.403179 : Epoch  1, Batch    737, Loss  0.883781, Average Loss  0.886532, Time  0.442464
2021-09-28 17:29:30.911163 : Epoch  1, Batch    738, Loss  0.872522, Average Loss  0.886388, Time  0.442009
2021-09-28 17:29:36.427903 : Epoch  1, Batch    739, Loss  0.890876, Average Loss  0.886337, Time  0.445850
2021-09-28 17:29:42.196846 : Epoch  1, Batch    740, Loss  0.880584, Average Loss  0.886256, Time  0.445690
2021-09-28 17:29:47.763401 : Epoch  1, Batch    741, Loss  0.887636, Average Loss  0.886268, Time  0.443223
2021-09-28 17:29:53.455818 : Epoch  1, Batch    742, Loss  0.892827, Average Loss  0.886233, Time  0.443607
2021-09-28 17:29:59.074025 : Epoch  1, Batch    743, Loss  0.874778, Average Loss  0.886158, Time  0.458997
2021-09-28 17:30:04.705483 : Epoch  1, Batch    744, Loss  0.887829, Average Loss  0.886168, Time  0.443279
2021-09-28 17:30:10.269000 : Epoch  1, Batch    745, Loss  0.882410, Average Loss  0.886175, Time  0.442089
2021-09-28 17:30:15.991185 : Epoch  1, Batch    746, Loss  0.881405, Average Loss  0.886078, Time  0.444933
2021-09-28 17:30:21.599625 : Epoch  1, Batch    747, Loss  0.896699, Average Loss  0.886181, Time  0.444577
2021-09-28 17:30:27.224108 : Epoch  1, Batch    748, Loss  0.877544, Average Loss  0.886186, Time  0.447535
2021-09-28 17:30:32.787993 : Epoch  1, Batch    749, Loss  0.878293, Average Loss  0.886130, Time  0.442743
2021-09-28 17:30:38.488962 : Epoch  1, Batch    750, Loss  0.889466, Average Loss  0.886107, Time  0.445995
2021-09-28 17:30:44.349838 : Epoch  1, Batch    751, Loss  0.896704, Average Loss  0.886050, Time  0.461432
2021-09-28 17:30:50.089439 : Epoch  1, Batch    752, Loss  0.891162, Average Loss  0.886025, Time  0.443344
2021-09-28 17:30:55.667610 : Epoch  1, Batch    753, Loss  0.886058, Average Loss  0.885947, Time  0.442395
2021-09-28 17:31:01.267364 : Epoch  1, Batch    754, Loss  0.877071, Average Loss  0.885895, Time  0.444306
2021-09-28 17:31:06.796770 : Epoch  1, Batch    755, Loss  0.881646, Average Loss  0.885870, Time  0.443437
2021-09-28 17:31:12.336283 : Epoch  1, Batch    756, Loss  0.891501, Average Loss  0.885885, Time  0.443070
2021-09-28 17:31:17.973918 : Epoch  1, Batch    757, Loss  0.879806, Average Loss  0.885885, Time  0.445840
2021-09-28 17:31:23.487989 : Epoch  1, Batch    758, Loss  0.896500, Average Loss  0.885989, Time  0.444906
2021-09-28 17:31:29.051008 : Epoch  1, Batch    759, Loss  0.877189, Average Loss  0.885932, Time  0.458465
2021-09-28 17:31:34.852078 : Epoch  1, Batch    760, Loss  0.886244, Average Loss  0.885922, Time  0.443930
2021-09-28 17:31:40.549152 : Epoch  1, Batch    761, Loss  0.890429, Average Loss  0.885991, Time  0.443787
2021-09-28 17:31:46.361037 : Epoch  1, Batch    762, Loss  0.886662, Average Loss  0.886078, Time  0.444883
2021-09-28 17:31:51.905115 : Epoch  1, Batch    763, Loss  0.875968, Average Loss  0.886020, Time  0.442987
2021-09-28 17:31:57.592248 : Epoch  1, Batch    764, Loss  0.878610, Average Loss  0.885978, Time  0.445407
2021-09-28 17:32:03.340030 : Epoch  1, Batch    765, Loss  0.886507, Average Loss  0.885935, Time  0.444773
2021-09-28 17:32:09.115034 : Epoch  1, Batch    766, Loss  0.870160, Average Loss  0.885835, Time  0.446304
2021-09-28 17:32:14.647946 : Epoch  1, Batch    767, Loss  0.880936, Average Loss  0.885787, Time  0.454255
2021-09-28 17:32:20.219469 : Epoch  1, Batch    768, Loss  0.880880, Average Loss  0.885786, Time  0.445713
2021-09-28 17:32:25.735339 : Epoch  1, Batch    769, Loss  0.886699, Average Loss  0.885729, Time  0.445839
2021-09-28 17:32:31.326071 : Epoch  1, Batch    770, Loss  0.891235, Average Loss  0.885756, Time  0.443014
2021-09-28 17:32:37.036042 : Epoch  1, Batch    771, Loss  0.880035, Average Loss  0.885807, Time  0.443195
2021-09-28 17:32:42.438807 : Epoch  1, Batch    772, Loss  0.874258, Average Loss  0.885799, Time  0.446338
2021-09-28 17:32:47.974303 : Epoch  1, Batch    773, Loss  0.874788, Average Loss  0.885734, Time  0.443699
2021-09-28 17:32:53.545652 : Epoch  1, Batch    774, Loss  0.877333, Average Loss  0.885689, Time  0.444869
2021-09-28 17:32:58.987189 : Epoch  1, Batch    775, Loss  0.859143, Average Loss  0.885596, Time  0.451711
2021-09-28 17:33:04.481722 : Epoch  1, Batch    776, Loss  0.870436, Average Loss  0.885430, Time  0.444214
2021-09-28 17:33:10.343362 : Epoch  1, Batch    777, Loss  0.881120, Average Loss  0.885392, Time  0.446322
2021-09-28 17:33:16.048607 : Epoch  1, Batch    778, Loss  0.886003, Average Loss  0.885421, Time  0.443909
2021-09-28 17:33:21.662499 : Epoch  1, Batch    779, Loss  0.884546, Average Loss  0.885477, Time  0.446181
2021-09-28 17:33:27.292224 : Epoch  1, Batch    780, Loss  0.869018, Average Loss  0.885331, Time  0.444612
2021-09-28 17:33:32.877774 : Epoch  1, Batch    781, Loss  0.875479, Average Loss  0.885226, Time  0.445389
2021-09-28 17:33:38.534059 : Epoch  1, Batch    782, Loss  0.876811, Average Loss  0.885227, Time  0.447966
2021-09-28 17:33:44.185700 : Epoch  1, Batch    783, Loss  0.875633, Average Loss  0.885134, Time  0.463207
2021-09-28 17:33:49.935710 : Epoch  1, Batch    784, Loss  0.872424, Average Loss  0.885138, Time  0.443680
2021-09-28 17:33:55.408146 : Epoch  1, Batch    785, Loss  0.895240, Average Loss  0.885101, Time  0.443234
2021-09-28 17:34:01.121383 : Epoch  1, Batch    786, Loss  0.891690, Average Loss  0.885081, Time  0.445719
2021-09-28 17:34:06.782175 : Epoch  1, Batch    787, Loss  0.870503, Average Loss  0.885059, Time  0.445818
2021-09-28 17:34:12.432010 : Epoch  1, Batch    788, Loss  0.871922, Average Loss  0.885087, Time  0.444962
2021-09-28 17:34:18.163221 : Epoch  1, Batch    789, Loss  0.869571, Average Loss  0.884982, Time  0.444713
2021-09-28 17:34:23.930923 : Epoch  1, Batch    790, Loss  0.881021, Average Loss  0.884960, Time  0.445346
2021-09-28 17:34:29.726559 : Epoch  1, Batch    791, Loss  0.886109, Average Loss  0.884961, Time  0.455858
2021-09-28 17:34:35.539543 : Epoch  1, Batch    792, Loss  0.887926, Average Loss  0.884979, Time  0.445882
2021-09-28 17:34:41.097913 : Epoch  1, Batch    793, Loss  0.884138, Average Loss  0.884999, Time  0.444434
2021-09-28 17:34:46.718341 : Epoch  1, Batch    794, Loss  0.879259, Average Loss  0.884944, Time  0.442961
2021-09-28 17:34:52.193354 : Epoch  1, Batch    795, Loss  0.874752, Average Loss  0.884921, Time  0.441969
2021-09-28 17:34:57.668892 : Epoch  1, Batch    796, Loss  0.894873, Average Loss  0.884954, Time  0.444447
2021-09-28 17:35:03.440241 : Epoch  1, Batch    797, Loss  0.860892, Average Loss  0.884787, Time  0.446446
2021-09-28 17:35:09.042101 : Epoch  1, Batch    798, Loss  0.885026, Average Loss  0.884735, Time  0.444715
2021-09-28 17:35:14.883766 : Epoch  1, Batch    799, Loss  0.892258, Average Loss  0.884769, Time  0.451989
2021-09-28 17:35:20.714432 : Epoch  1, Batch    800, Loss  0.890626, Average Loss  0.884822, Time  0.444102
2021-09-28 17:39:44.337623 : CheckPoint: Validation Loss  0.00015204, Best Loss  0.00015162
2021-09-28 17:39:49.847392 : Epoch  1, Batch    801, Loss  0.876219, Average Loss  0.884759, Time  0.444469
2021-09-28 17:39:55.388821 : Epoch  1, Batch    802, Loss  0.873879, Average Loss  0.884715, Time  0.456364
2021-09-28 17:40:00.989375 : Epoch  1, Batch    803, Loss  0.876583, Average Loss  0.884572, Time  0.443779
2021-09-28 17:40:06.705079 : Epoch  1, Batch    804, Loss  0.885807, Average Loss  0.884567, Time  0.447077
2021-09-28 17:40:12.318947 : Epoch  1, Batch    805, Loss  0.871893, Average Loss  0.884492, Time  0.446465
2021-09-28 17:40:18.021268 : Epoch  1, Batch    806, Loss  0.871476, Average Loss  0.884362, Time  0.447662
2021-09-28 17:40:23.670271 : Epoch  1, Batch    807, Loss  0.872584, Average Loss  0.884255, Time  0.444210
2021-09-28 17:40:29.331645 : Epoch  1, Batch    808, Loss  0.875665, Average Loss  0.884154, Time  0.445289
2021-09-28 17:40:35.021803 : Epoch  1, Batch    809, Loss  0.893885, Average Loss  0.884155, Time  0.442422
2021-09-28 17:40:40.739237 : Epoch  1, Batch    810, Loss  0.886437, Average Loss  0.884111, Time  0.454396
2021-09-28 17:40:46.486967 : Epoch  1, Batch    811, Loss  0.876564, Average Loss  0.884086, Time  0.445195
2021-09-28 17:40:51.989932 : Epoch  1, Batch    812, Loss  0.875198, Average Loss  0.883957, Time  0.442712
2021-09-28 17:40:57.650921 : Epoch  1, Batch    813, Loss  0.893220, Average Loss  0.884054, Time  0.441883
2021-09-28 17:41:03.178616 : Epoch  1, Batch    814, Loss  0.882899, Average Loss  0.884091, Time  0.444468
2021-09-28 17:41:08.614117 : Epoch  1, Batch    815, Loss  0.875171, Average Loss  0.884026, Time  0.444541
2021-09-28 17:41:14.104523 : Epoch  1, Batch    816, Loss  0.882893, Average Loss  0.883985, Time  0.443628
2021-09-28 17:41:19.856760 : Epoch  1, Batch    817, Loss  0.860483, Average Loss  0.883812, Time  0.446174
2021-09-28 17:41:25.465082 : Epoch  1, Batch    818, Loss  0.883053, Average Loss  0.883763, Time  0.458022
2021-09-28 17:41:31.200988 : Epoch  1, Batch    819, Loss  0.882639, Average Loss  0.883826, Time  0.443621
2021-09-28 17:41:36.771836 : Epoch  1, Batch    820, Loss  0.876461, Average Loss  0.883816, Time  0.447252
2021-09-28 17:41:42.539614 : Epoch  1, Batch    821, Loss  0.881300, Average Loss  0.883730, Time  0.446786
2021-09-28 17:41:48.091044 : Epoch  1, Batch    822, Loss  0.860198, Average Loss  0.883606, Time  0.444565
2021-09-28 17:41:53.802437 : Epoch  1, Batch    823, Loss  0.893401, Average Loss  0.883697, Time  0.443233
2021-09-28 17:41:59.565263 : Epoch  1, Batch    824, Loss  0.866446, Average Loss  0.883680, Time  0.444939
2021-09-28 17:42:05.176752 : Epoch  1, Batch    825, Loss  0.883846, Average Loss  0.883648, Time  0.444845
2021-09-28 17:42:10.851814 : Epoch  1, Batch    826, Loss  0.875520, Average Loss  0.883627, Time  0.453807
2021-09-28 17:42:16.530864 : Epoch  1, Batch    827, Loss  0.869878, Average Loss  0.883527, Time  0.443943
2021-09-28 17:42:22.266841 : Epoch  1, Batch    828, Loss  0.874562, Average Loss  0.883433, Time  0.445432
2021-09-28 17:42:28.061359 : Epoch  1, Batch    829, Loss  0.876383, Average Loss  0.883438, Time  0.445351
2021-09-28 17:42:33.637199 : Epoch  1, Batch    830, Loss  0.876955, Average Loss  0.883345, Time  0.444167
2021-09-28 17:42:39.387899 : Epoch  1, Batch    831, Loss  0.891207, Average Loss  0.883328, Time  0.446185
2021-09-28 17:42:45.076567 : Epoch  1, Batch    832, Loss  0.873191, Average Loss  0.883212, Time  0.446606
2021-09-28 17:42:50.806678 : Epoch  1, Batch    833, Loss  0.885443, Average Loss  0.883166, Time  0.443974
2021-09-28 17:42:56.598936 : Epoch  1, Batch    834, Loss  0.892600, Average Loss  0.883147, Time  0.455877
2021-09-28 17:43:02.379863 : Epoch  1, Batch    835, Loss  0.892330, Average Loss  0.883136, Time  0.445732
2021-09-28 17:43:08.054456 : Epoch  1, Batch    836, Loss  0.891459, Average Loss  0.883074, Time  0.443834
2021-09-28 17:43:13.657273 : Epoch  1, Batch    837, Loss  0.888564, Average Loss  0.883052, Time  0.443027
2021-09-28 17:43:19.341317 : Epoch  1, Batch    838, Loss  0.881616, Average Loss  0.882959, Time  0.443324
2021-09-28 17:43:24.799538 : Epoch  1, Batch    839, Loss  0.871827, Average Loss  0.882926, Time  0.441479
2021-09-28 17:43:30.360430 : Epoch  1, Batch    840, Loss  0.876114, Average Loss  0.882883, Time  0.443580
2021-09-28 17:43:35.866720 : Epoch  1, Batch    841, Loss  0.892323, Average Loss  0.882921, Time  0.443610
2021-09-28 17:43:41.643431 : Epoch  1, Batch    842, Loss  0.894840, Average Loss  0.882971, Time  0.459919
2021-09-28 17:43:47.252779 : Epoch  1, Batch    843, Loss  0.873595, Average Loss  0.882877, Time  0.447491
2021-09-28 17:43:52.924626 : Epoch  1, Batch    844, Loss  0.889569, Average Loss  0.882936, Time  0.446586
2021-09-28 17:43:58.577531 : Epoch  1, Batch    845, Loss  0.867462, Average Loss  0.882872, Time  0.443351
2021-09-28 17:44:04.267417 : Epoch  1, Batch    846, Loss  0.877616, Average Loss  0.882847, Time  0.444726
2021-09-28 17:44:10.023843 : Epoch  1, Batch    847, Loss  0.891038, Average Loss  0.882904, Time  0.446588
2021-09-28 17:44:15.618719 : Epoch  1, Batch    848, Loss  0.871405, Average Loss  0.882853, Time  0.444128
2021-09-28 17:44:21.210080 : Epoch  1, Batch    849, Loss  0.869675, Average Loss  0.882820, Time  0.444821
2021-09-28 17:44:26.949293 : Epoch  1, Batch    850, Loss  0.879863, Average Loss  0.882815, Time  0.456476
2021-09-28 17:44:32.668475 : Epoch  1, Batch    851, Loss  0.888978, Average Loss  0.882917, Time  0.445292
2021-09-28 17:44:38.330120 : Epoch  1, Batch    852, Loss  0.875072, Average Loss  0.882875, Time  0.443813
2021-09-28 17:44:43.907131 : Epoch  1, Batch    853, Loss  0.856603, Average Loss  0.882670, Time  0.443298
2021-09-28 17:44:49.465632 : Epoch  1, Batch    854, Loss  0.874647, Average Loss  0.882611, Time  0.447050
2021-09-28 17:44:55.055740 : Epoch  1, Batch    855, Loss  0.879246, Average Loss  0.882640, Time  0.445895
2021-09-28 17:45:00.631404 : Epoch  1, Batch    856, Loss  0.875723, Average Loss  0.882604, Time  0.444319
2021-09-28 17:45:06.272321 : Epoch  1, Batch    857, Loss  0.894350, Average Loss  0.882639, Time  0.442045
2021-09-28 17:45:11.764110 : Epoch  1, Batch    858, Loss  0.881039, Average Loss  0.882609, Time  0.457802
2021-09-28 17:45:17.575056 : Epoch  1, Batch    859, Loss  0.879334, Average Loss  0.882558, Time  0.445014
2021-09-28 17:45:23.389047 : Epoch  1, Batch    860, Loss  0.880743, Average Loss  0.882488, Time  0.444657
2021-09-28 17:45:29.016561 : Epoch  1, Batch    861, Loss  0.877750, Average Loss  0.882374, Time  0.442402
2021-09-28 17:45:34.806407 : Epoch  1, Batch    862, Loss  0.860860, Average Loss  0.882236, Time  0.445825
2021-09-28 17:45:40.606471 : Epoch  1, Batch    863, Loss  0.879778, Average Loss  0.882179, Time  0.442927
2021-09-28 17:45:46.228401 : Epoch  1, Batch    864, Loss  0.880779, Average Loss  0.882130, Time  0.446391
2021-09-28 17:45:51.733610 : Epoch  1, Batch    865, Loss  0.881300, Average Loss  0.882073, Time  0.444959
2021-09-28 17:45:57.213370 : Epoch  1, Batch    866, Loss  0.873890, Average Loss  0.882003, Time  0.456050
2021-09-28 17:46:02.703474 : Epoch  1, Batch    867, Loss  0.877703, Average Loss  0.881979, Time  0.443120
2021-09-28 17:46:08.478110 : Epoch  1, Batch    868, Loss  0.895052, Average Loss  0.882067, Time  0.446194
2021-09-28 17:46:14.272839 : Epoch  1, Batch    869, Loss  0.880627, Average Loss  0.881974, Time  0.445314
2021-09-28 17:46:20.034086 : Epoch  1, Batch    870, Loss  0.868409, Average Loss  0.881898, Time  0.446126
2021-09-28 17:46:25.827300 : Epoch  1, Batch    871, Loss  0.875758, Average Loss  0.881814, Time  0.444231
2021-09-28 17:46:31.586326 : Epoch  1, Batch    872, Loss  0.872087, Average Loss  0.881684, Time  0.443338
2021-09-28 17:46:37.314465 : Epoch  1, Batch    873, Loss  0.890598, Average Loss  0.881701, Time  0.443017
2021-09-28 17:46:42.889071 : Epoch  1, Batch    874, Loss  0.880599, Average Loss  0.881768, Time  0.453781
2021-09-28 17:46:48.448717 : Epoch  1, Batch    875, Loss  0.884342, Average Loss  0.881791, Time  0.447367
2021-09-28 17:46:54.008887 : Epoch  1, Batch    876, Loss  0.882731, Average Loss  0.881739, Time  0.446756
2021-09-28 17:46:59.683960 : Epoch  1, Batch    877, Loss  0.894004, Average Loss  0.881788, Time  0.445683
2021-09-28 17:47:05.244426 : Epoch  1, Batch    878, Loss  0.885075, Average Loss  0.881770, Time  0.444064
2021-09-28 17:47:10.910684 : Epoch  1, Batch    879, Loss  0.892713, Average Loss  0.881867, Time  0.446214
2021-09-28 17:47:16.656950 : Epoch  1, Batch    880, Loss  0.883468, Average Loss  0.881879, Time  0.443312
2021-09-28 17:47:22.343003 : Epoch  1, Batch    881, Loss  0.885244, Average Loss  0.881813, Time  0.442778
2021-09-28 17:47:27.786186 : Epoch  1, Batch    882, Loss  0.883517, Average Loss  0.881816, Time  0.456337
2021-09-28 17:47:33.266034 : Epoch  1, Batch    883, Loss  0.897949, Average Loss  0.881824, Time  0.443520
2021-09-28 17:47:38.684488 : Epoch  1, Batch    884, Loss  0.860244, Average Loss  0.881634, Time  0.444092
2021-09-28 17:47:44.372959 : Epoch  1, Batch    885, Loss  0.882517, Average Loss  0.881574, Time  0.446816
2021-09-28 17:47:50.148641 : Epoch  1, Batch    886, Loss  0.893762, Average Loss  0.881645, Time  0.446987
2021-09-28 17:47:55.892726 : Epoch  1, Batch    887, Loss  0.884143, Average Loss  0.881653, Time  0.447130
2021-09-28 17:48:01.481706 : Epoch  1, Batch    888, Loss  0.860900, Average Loss  0.881624, Time  0.444072
2021-09-28 17:48:07.039543 : Epoch  1, Batch    889, Loss  0.874002, Average Loss  0.881544, Time  0.443293
2021-09-28 17:48:12.590185 : Epoch  1, Batch    890, Loss  0.874065, Average Loss  0.881457, Time  0.455570
2021-09-28 17:48:18.073031 : Epoch  1, Batch    891, Loss  0.878419, Average Loss  0.881411, Time  0.442719
2021-09-28 17:48:23.558520 : Epoch  1, Batch    892, Loss  0.886443, Average Loss  0.881383, Time  0.444719
2021-09-28 17:48:29.343731 : Epoch  1, Batch    893, Loss  0.876608, Average Loss  0.881254, Time  0.445168
2021-09-28 17:48:34.934372 : Epoch  1, Batch    894, Loss  0.888408, Average Loss  0.881279, Time  0.445880
2021-09-28 17:48:40.473082 : Epoch  1, Batch    895, Loss  0.876053, Average Loss  0.881211, Time  0.443686
2021-09-28 17:48:46.004873 : Epoch  1, Batch    896, Loss  0.870570, Average Loss  0.881194, Time  0.443626
2021-09-28 17:48:51.636731 : Epoch  1, Batch    897, Loss  0.902952, Average Loss  0.881185, Time  0.444496
2021-09-28 17:48:57.182814 : Epoch  1, Batch    898, Loss  0.868101, Average Loss  0.880997, Time  0.458616
2021-09-28 17:49:02.988728 : Epoch  1, Batch    899, Loss  0.877236, Average Loss  0.880926, Time  0.444672
2021-09-28 17:49:08.677413 : Epoch  1, Batch    900, Loss  0.871898, Average Loss  0.880872, Time  0.446261
2021-09-28 17:53:31.657270 : CheckPoint: Validation Loss  0.00015200, Best Loss  0.00015162
2021-09-28 17:53:36.965358 : Epoch  1, Batch    901, Loss  0.887937, Average Loss  0.880888, Time  0.456446
2021-09-28 17:53:42.219931 : Epoch  1, Batch    902, Loss  0.869019, Average Loss  0.880778, Time  0.442280
2021-09-28 17:53:47.521317 : Epoch  1, Batch    903, Loss  0.881038, Average Loss  0.880802, Time  0.442026
2021-09-28 17:53:53.284643 : Epoch  1, Batch    904, Loss  0.869145, Average Loss  0.880750, Time  0.447765
2021-09-28 17:53:59.230244 : Epoch  1, Batch    905, Loss  0.871792, Average Loss  0.880590, Time  0.447476
2021-09-28 17:54:05.170756 : Epoch  1, Batch    906, Loss  0.871501, Average Loss  0.880533, Time  0.445117
2021-09-28 17:54:11.112685 : Epoch  1, Batch    907, Loss  0.881959, Average Loss  0.880537, Time  0.445786
2021-09-28 17:54:17.067125 : Epoch  1, Batch    908, Loss  0.877474, Average Loss  0.880554, Time  0.448041
2021-09-28 17:54:23.012283 : Epoch  1, Batch    909, Loss  0.887292, Average Loss  0.880572, Time  0.456613
2021-09-28 17:54:28.957180 : Epoch  1, Batch    910, Loss  0.883589, Average Loss  0.880497, Time  0.447511
2021-09-28 17:54:34.909460 : Epoch  1, Batch    911, Loss  0.885523, Average Loss  0.880526, Time  0.448577
2021-09-28 17:54:40.860314 : Epoch  1, Batch    912, Loss  0.877684, Average Loss  0.880546, Time  0.449619
2021-09-28 17:54:46.794878 : Epoch  1, Batch    913, Loss  0.872134, Average Loss  0.880541, Time  0.445762
2021-09-28 17:54:52.744901 : Epoch  1, Batch    914, Loss  0.883200, Average Loss  0.880542, Time  0.448398
2021-09-28 17:54:58.679526 : Epoch  1, Batch    915, Loss  0.863112, Average Loss  0.880468, Time  0.445745
2021-09-28 17:55:04.616283 : Epoch  1, Batch    916, Loss  0.881904, Average Loss  0.880501, Time  0.446428
2021-09-28 17:55:10.564944 : Epoch  1, Batch    917, Loss  0.887539, Average Loss  0.880565, Time  0.461144
2021-09-28 17:55:16.495445 : Epoch  1, Batch    918, Loss  0.885569, Average Loss  0.880593, Time  0.445360
2021-09-28 17:55:22.431164 : Epoch  1, Batch    919, Loss  0.871897, Average Loss  0.880608, Time  0.446787
2021-09-28 17:55:28.362900 : Epoch  1, Batch    920, Loss  0.884264, Average Loss  0.880639, Time  0.445369
2021-09-28 17:55:34.307883 : Epoch  1, Batch    921, Loss  0.872036, Average Loss  0.880598, Time  0.447891
2021-09-28 17:55:40.262124 : Epoch  1, Batch    922, Loss  0.866794, Average Loss  0.880540, Time  0.447232
2021-09-28 17:55:46.207834 : Epoch  1, Batch    923, Loss  0.884743, Average Loss  0.880452, Time  0.447228
2021-09-28 17:55:52.149742 : Epoch  1, Batch    924, Loss  0.863677, Average Loss  0.880435, Time  0.448093
2021-09-28 17:55:58.100842 : Epoch  1, Batch    925, Loss  0.884666, Average Loss  0.880439, Time  0.454918
2021-09-28 17:56:04.026804 : Epoch  1, Batch    926, Loss  0.880827, Average Loss  0.880394, Time  0.445777
2021-09-28 17:56:09.958758 : Epoch  1, Batch    927, Loss  0.886091, Average Loss  0.880423, Time  0.446203
2021-09-28 17:56:15.911572 : Epoch  1, Batch    928, Loss  0.872132, Average Loss  0.880354, Time  0.448449
2021-09-28 17:56:15.931268 : Saving Model after 1-th Epoch.
2021-09-28 17:56:16.685551 : Epoch Finished.
2021-09-28 17:56:24.697899 : Batch Shuffled
2021-09-28 17:56:30.626621 : Epoch  2, Batch      1, Loss  0.881548, Average Loss  0.880302, Time  0.445861
2021-09-28 17:56:36.566860 : Epoch  2, Batch      2, Loss  0.863597, Average Loss  0.880208, Time  0.448684
2021-09-28 17:56:42.531891 : Epoch  2, Batch      3, Loss  0.882046, Average Loss  0.880211, Time  0.457342
2021-09-28 17:56:48.477347 : Epoch  2, Batch      4, Loss  0.870070, Average Loss  0.880195, Time  0.447445
2021-09-28 17:56:54.424709 : Epoch  2, Batch      5, Loss  0.879360, Average Loss  0.880173, Time  0.446899
2021-09-28 17:57:00.359874 : Epoch  2, Batch      6, Loss  0.871867, Average Loss  0.880107, Time  0.445582
2021-09-28 17:57:06.302808 : Epoch  2, Batch      7, Loss  0.869920, Average Loss  0.880017, Time  0.446279
2021-09-28 17:57:12.230588 : Epoch  2, Batch      8, Loss  0.873542, Average Loss  0.879987, Time  0.446419
2021-09-28 17:57:18.175944 : Epoch  2, Batch      9, Loss  0.885930, Average Loss  0.879998, Time  0.448223
2021-09-28 17:57:24.122117 : Epoch  2, Batch     10, Loss  0.875820, Average Loss  0.880015, Time  0.449730
2021-09-28 17:57:30.094879 : Epoch  2, Batch     11, Loss  0.884648, Average Loss  0.879983, Time  0.462000
2021-09-28 17:57:36.027992 : Epoch  2, Batch     12, Loss  0.876759, Average Loss  0.879964, Time  0.447532
2021-09-28 17:57:41.970024 : Epoch  2, Batch     13, Loss  0.887850, Average Loss  0.879965, Time  0.447214
2021-09-28 17:57:47.924882 : Epoch  2, Batch     14, Loss  0.891442, Average Loss  0.879958, Time  0.448256
2021-09-28 17:57:53.857566 : Epoch  2, Batch     15, Loss  0.871119, Average Loss  0.879940, Time  0.447528
2021-09-28 17:57:59.815510 : Epoch  2, Batch     16, Loss  0.869291, Average Loss  0.879847, Time  0.449499
2021-09-28 17:58:05.760088 : Epoch  2, Batch     17, Loss  0.873139, Average Loss  0.879801, Time  0.449149
2021-09-28 17:58:11.702260 : Epoch  2, Batch     18, Loss  0.876163, Average Loss  0.879775, Time  0.447767
2021-09-28 17:58:17.658253 : Epoch  2, Batch     19, Loss  0.873374, Average Loss  0.879658, Time  0.459095
2021-09-28 17:58:23.595921 : Epoch  2, Batch     20, Loss  0.883148, Average Loss  0.879686, Time  0.446314
2021-09-28 17:58:29.539603 : Epoch  2, Batch     21, Loss  0.878121, Average Loss  0.879685, Time  0.447421
2021-09-28 17:58:35.474825 : Epoch  2, Batch     22, Loss  0.890869, Average Loss  0.879692, Time  0.447477
2021-09-28 17:58:41.424625 : Epoch  2, Batch     23, Loss  0.880340, Average Loss  0.879611, Time  0.450606
2021-09-28 17:58:47.363165 : Epoch  2, Batch     24, Loss  0.872741, Average Loss  0.879519, Time  0.448302
2021-09-28 17:58:53.298744 : Epoch  2, Batch     25, Loss  0.865754, Average Loss  0.879417, Time  0.448291
2021-09-28 17:58:59.239643 : Epoch  2, Batch     26, Loss  0.880298, Average Loss  0.879433, Time  0.446476
2021-09-28 17:59:05.200289 : Epoch  2, Batch     27, Loss  0.883827, Average Loss  0.879444, Time  0.459516
2021-09-28 17:59:11.144986 : Epoch  2, Batch     28, Loss  0.886385, Average Loss  0.879418, Time  0.447059
2021-09-28 17:59:17.090330 : Epoch  2, Batch     29, Loss  0.864024, Average Loss  0.879340, Time  0.448882
2021-09-28 17:59:23.029991 : Epoch  2, Batch     30, Loss  0.879339, Average Loss  0.879254, Time  0.448776
2021-09-28 17:59:28.988511 : Epoch  2, Batch     31, Loss  0.892112, Average Loss  0.879328, Time  0.449561
2021-09-28 17:59:34.935451 : Epoch  2, Batch     32, Loss  0.884129, Average Loss  0.879318, Time  0.446228
2021-09-28 17:59:40.901149 : Epoch  2, Batch     33, Loss  0.872296, Average Loss  0.879227, Time  0.448768
2021-09-28 17:59:46.864100 : Epoch  2, Batch     34, Loss  0.881854, Average Loss  0.879203, Time  0.462321
2021-09-28 17:59:52.795549 : Epoch  2, Batch     35, Loss  0.869124, Average Loss  0.879169, Time  0.446461
2021-09-28 17:59:58.750961 : Epoch  2, Batch     36, Loss  0.882856, Average Loss  0.879190, Time  0.446360
2021-09-28 18:00:04.676517 : Epoch  2, Batch     37, Loss  0.875783, Average Loss  0.879136, Time  0.449883
2021-09-28 18:00:10.635268 : Epoch  2, Batch     38, Loss  0.873103, Average Loss  0.879151, Time  0.451555
2021-09-28 18:00:16.589578 : Epoch  2, Batch     39, Loss  0.885453, Average Loss  0.879174, Time  0.447743
2021-09-28 18:00:22.543858 : Epoch  2, Batch     40, Loss  0.886466, Average Loss  0.879202, Time  0.446415
2021-09-28 18:00:28.501751 : Epoch  2, Batch     41, Loss  0.888003, Average Loss  0.879208, Time  0.452651
2021-09-28 18:00:34.455422 : Epoch  2, Batch     42, Loss  0.883488, Average Loss  0.879169, Time  0.459355
2021-09-28 18:00:40.404888 : Epoch  2, Batch     43, Loss  0.883902, Average Loss  0.879189, Time  0.445804
2021-09-28 18:00:46.354335 : Epoch  2, Batch     44, Loss  0.885721, Average Loss  0.879246, Time  0.448143
2021-09-28 18:00:52.311787 : Epoch  2, Batch     45, Loss  0.866590, Average Loss  0.879205, Time  0.449614
2021-09-28 18:00:58.252595 : Epoch  2, Batch     46, Loss  0.879341, Average Loss  0.879215, Time  0.445508
2021-09-28 18:01:04.205322 : Epoch  2, Batch     47, Loss  0.905785, Average Loss  0.879448, Time  0.447467
2021-09-28 18:01:10.170727 : Epoch  2, Batch     48, Loss  0.881278, Average Loss  0.879503, Time  0.450963
2021-09-28 18:01:16.108590 : Epoch  2, Batch     49, Loss  0.889354, Average Loss  0.879544, Time  0.446462
2021-09-28 18:01:22.081021 : Epoch  2, Batch     50, Loss  0.879930, Average Loss  0.879513, Time  0.462852
2021-09-28 18:01:28.033294 : Epoch  2, Batch     51, Loss  0.867192, Average Loss  0.879427, Time  0.448024
2021-09-28 18:01:33.975836 : Epoch  2, Batch     52, Loss  0.880933, Average Loss  0.879486, Time  0.445934
2021-09-28 18:01:39.919353 : Epoch  2, Batch     53, Loss  0.872666, Average Loss  0.879472, Time  0.446548
2021-09-28 18:01:45.871301 : Epoch  2, Batch     54, Loss  0.875765, Average Loss  0.879467, Time  0.450067
2021-09-28 18:01:51.823039 : Epoch  2, Batch     55, Loss  0.884931, Average Loss  0.879513, Time  0.447589
2021-09-28 18:01:57.751021 : Epoch  2, Batch     56, Loss  0.864434, Average Loss  0.879473, Time  0.445664
2021-09-28 18:02:03.703596 : Epoch  2, Batch     57, Loss  0.881581, Average Loss  0.879405, Time  0.451561
2021-09-28 18:02:09.655345 : Epoch  2, Batch     58, Loss  0.887155, Average Loss  0.879382, Time  0.462312
2021-09-28 18:02:15.600664 : Epoch  2, Batch     59, Loss  0.881481, Average Loss  0.879437, Time  0.447376
2021-09-28 18:02:21.540469 : Epoch  2, Batch     60, Loss  0.880441, Average Loss  0.879480, Time  0.447109
2021-09-28 18:02:27.487826 : Epoch  2, Batch     61, Loss  0.884764, Average Loss  0.879556, Time  0.446486
2021-09-28 18:02:33.440566 : Epoch  2, Batch     62, Loss  0.875759, Average Loss  0.879530, Time  0.446614
2021-09-28 18:02:39.385097 : Epoch  2, Batch     63, Loss  0.878074, Average Loss  0.879489, Time  0.446247
2021-09-28 18:02:45.321895 : Epoch  2, Batch     64, Loss  0.884815, Average Loss  0.879474, Time  0.445665
2021-09-28 18:02:51.275000 : Epoch  2, Batch     65, Loss  0.884101, Average Loss  0.879474, Time  0.445615
2021-09-28 18:02:57.226050 : Epoch  2, Batch     66, Loss  0.891504, Average Loss  0.879535, Time  0.455437
2021-09-28 18:03:03.175036 : Epoch  2, Batch     67, Loss  0.895833, Average Loss  0.879640, Time  0.447020
2021-09-28 18:03:09.113255 : Epoch  2, Batch     68, Loss  0.882024, Average Loss  0.879576, Time  0.448294
2021-09-28 18:03:15.066210 : Epoch  2, Batch     69, Loss  0.887911, Average Loss  0.879711, Time  0.446380
2021-09-28 18:03:21.016978 : Epoch  2, Batch     70, Loss  0.866854, Average Loss  0.879620, Time  0.449548
2021-09-28 18:03:26.969752 : Epoch  2, Batch     71, Loss  0.881608, Average Loss  0.879567, Time  0.448125
2021-09-28 18:03:40.864769 : Epoch  2, Batch     72, Loss  0.880519, Average Loss  0.879517, Time  0.457863
2021-09-28 18:08:21.409859 : CheckPoint: Validation Loss  0.00015332, Best Loss  0.00015162
2021-09-28 18:08:27.353850 : Epoch  2, Batch     73, Loss  0.886167, Average Loss  0.879566, Time  0.450000
2021-09-28 18:08:33.292709 : Epoch  2, Batch     74, Loss  0.870709, Average Loss  0.879550, Time  0.445304
2021-09-28 18:08:39.242941 : Epoch  2, Batch     75, Loss  0.875697, Average Loss  0.879546, Time  0.447885
2021-09-28 18:08:45.189122 : Epoch  2, Batch     76, Loss  0.875383, Average Loss  0.879494, Time  0.447655
2021-09-28 18:08:51.114830 : Epoch  2, Batch     77, Loss  0.904192, Average Loss  0.879655, Time  0.446607
2021-09-28 18:08:57.062884 : Epoch  2, Batch     78, Loss  0.868488, Average Loss  0.879640, Time  0.446877
2021-09-28 18:09:03.023027 : Epoch  2, Batch     79, Loss  0.879693, Average Loss  0.879676, Time  0.459019
2021-09-28 18:09:08.969574 : Epoch  2, Batch     80, Loss  0.887353, Average Loss  0.879734, Time  0.448088
2021-09-28 18:09:14.926550 : Epoch  2, Batch     81, Loss  0.871876, Average Loss  0.879624, Time  0.445900
2021-09-28 18:09:20.888997 : Epoch  2, Batch     82, Loss  0.879193, Average Loss  0.879588, Time  0.446808
2021-09-28 18:09:26.832949 : Epoch  2, Batch     83, Loss  0.880389, Average Loss  0.879607, Time  0.445347
2021-09-28 18:09:32.767285 : Epoch  2, Batch     84, Loss  0.858557, Average Loss  0.879524, Time  0.448932
2021-09-28 18:09:38.706673 : Epoch  2, Batch     85, Loss  0.889709, Average Loss  0.879507, Time  0.449403
2021-09-28 18:09:44.660028 : Epoch  2, Batch     86, Loss  0.890791, Average Loss  0.879546, Time  0.448448
2021-09-28 18:09:50.609744 : Epoch  2, Batch     87, Loss  0.877687, Average Loss  0.879559, Time  0.464295
2021-09-28 18:09:56.550510 : Epoch  2, Batch     88, Loss  0.885086, Average Loss  0.879570, Time  0.447042
2021-09-28 18:10:02.500616 : Epoch  2, Batch     89, Loss  0.853469, Average Loss  0.879534, Time  0.450996
2021-09-28 18:10:08.449954 : Epoch  2, Batch     90, Loss  0.878811, Average Loss  0.879513, Time  0.451152
2021-09-28 18:10:14.408313 : Epoch  2, Batch     91, Loss  0.877284, Average Loss  0.879486, Time  0.446326
2021-09-28 18:10:20.372019 : Epoch  2, Batch     92, Loss  0.872577, Average Loss  0.879467, Time  0.447206
2021-09-28 18:10:26.332760 : Epoch  2, Batch     93, Loss  0.863735, Average Loss  0.879379, Time  0.446729
2021-09-28 18:10:32.272746 : Epoch  2, Batch     94, Loss  0.872021, Average Loss  0.879438, Time  0.446896
2021-09-28 18:10:38.248033 : Epoch  2, Batch     95, Loss  0.886473, Average Loss  0.879404, Time  0.460255
2021-09-28 18:10:44.191685 : Epoch  2, Batch     96, Loss  0.865287, Average Loss  0.879398, Time  0.451555
2021-09-28 18:10:50.140481 : Epoch  2, Batch     97, Loss  0.885523, Average Loss  0.879406, Time  0.445576
2021-09-28 18:10:56.084939 : Epoch  2, Batch     98, Loss  0.887558, Average Loss  0.879466, Time  0.445477
2021-09-28 18:11:02.035797 : Epoch  2, Batch     99, Loss  0.876734, Average Loss  0.879501, Time  0.445499
2021-09-28 18:11:08.000751 : Epoch  2, Batch    100, Loss  0.873437, Average Loss  0.879495, Time  0.451522
2021-09-28 18:11:13.971852 : Epoch  2, Batch    101, Loss  0.872900, Average Loss  0.879478, Time  0.450451
2021-09-28 18:11:19.930422 : Epoch  2, Batch    102, Loss  0.870201, Average Loss  0.879444, Time  0.455768
2021-09-28 18:11:25.882913 : Epoch  2, Batch    103, Loss  0.886109, Average Loss  0.879418, Time  0.445677
2021-09-28 18:11:31.827781 : Epoch  2, Batch    104, Loss  0.876474, Average Loss  0.879435, Time  0.446450
2021-09-28 18:11:37.754714 : Epoch  2, Batch    105, Loss  0.877311, Average Loss  0.879394, Time  0.445377
2021-09-28 18:11:43.696633 : Epoch  2, Batch    106, Loss  0.870376, Average Loss  0.879283, Time  0.446042
2021-09-28 18:11:49.651080 : Epoch  2, Batch    107, Loss  0.874101, Average Loss  0.879192, Time  0.449025
2021-09-28 18:11:55.611057 : Epoch  2, Batch    108, Loss  0.888483, Average Loss  0.879177, Time  0.448642
2021-09-28 18:12:01.572956 : Epoch  2, Batch    109, Loss  0.888576, Average Loss  0.879177, Time  0.447338
2021-09-28 18:12:07.518858 : Epoch  2, Batch    110, Loss  0.868181, Average Loss  0.879110, Time  0.461163
2021-09-28 18:12:13.470862 : Epoch  2, Batch    111, Loss  0.863482, Average Loss  0.879068, Time  0.449273
2021-09-28 18:12:19.441401 : Epoch  2, Batch    112, Loss  0.873813, Average Loss  0.879057, Time  0.448934
2021-09-28 18:12:25.386238 : Epoch  2, Batch    113, Loss  0.881896, Average Loss  0.879005, Time  0.447942
2021-09-28 18:12:31.327424 : Epoch  2, Batch    114, Loss  0.881700, Average Loss  0.878939, Time  0.446458
2021-09-28 18:12:37.276346 : Epoch  2, Batch    115, Loss  0.876619, Average Loss  0.878954, Time  0.447331
2021-09-28 18:12:43.231263 : Epoch  2, Batch    116, Loss  0.873107, Average Loss  0.878872, Time  0.445940
2021-09-28 18:12:49.182146 : Epoch  2, Batch    117, Loss  0.880959, Average Loss  0.878939, Time  0.447410
2021-09-28 18:12:55.142801 : Epoch  2, Batch    118, Loss  0.878262, Average Loss  0.878942, Time  0.460823
2021-09-28 18:13:01.098472 : Epoch  2, Batch    119, Loss  0.870465, Average Loss  0.878840, Time  0.447140
2021-09-28 18:13:07.067238 : Epoch  2, Batch    120, Loss  0.893891, Average Loss  0.878952, Time  0.451390
2021-09-28 18:13:13.018254 : Epoch  2, Batch    121, Loss  0.875784, Average Loss  0.878983, Time  0.446610
2021-09-28 18:13:18.973238 : Epoch  2, Batch    122, Loss  0.880612, Average Loss  0.878986, Time  0.447459
2021-09-28 18:13:24.932597 : Epoch  2, Batch    123, Loss  0.880572, Average Loss  0.878944, Time  0.446353
2021-09-28 18:13:30.889289 : Epoch  2, Batch    124, Loss  0.872202, Average Loss  0.878930, Time  0.447571
2021-09-28 18:13:36.861390 : Epoch  2, Batch    125, Loss  0.868305, Average Loss  0.878988, Time  0.461370
2021-09-28 18:13:42.810013 : Epoch  2, Batch    126, Loss  0.879094, Average Loss  0.879011, Time  0.449557
2021-09-28 18:13:48.771862 : Epoch  2, Batch    127, Loss  0.874509, Average Loss  0.878987, Time  0.447246
2021-09-28 18:13:54.708001 : Epoch  2, Batch    128, Loss  0.863433, Average Loss  0.878925, Time  0.445448
2021-09-28 18:14:00.664220 : Epoch  2, Batch    129, Loss  0.885437, Average Loss  0.878881, Time  0.445851
2021-09-28 18:14:06.616940 : Epoch  2, Batch    130, Loss  0.864399, Average Loss  0.878798, Time  0.449055
2021-09-28 18:14:12.574849 : Epoch  2, Batch    131, Loss  0.868027, Average Loss  0.878741, Time  0.451715
2021-09-28 18:14:18.527481 : Epoch  2, Batch    132, Loss  0.868416, Average Loss  0.878680, Time  0.451391
2021-09-28 18:14:24.484351 : Epoch  2, Batch    133, Loss  0.870383, Average Loss  0.878643, Time  0.462761
2021-09-28 18:14:30.421512 : Epoch  2, Batch    134, Loss  0.878882, Average Loss  0.878733, Time  0.447931
2021-09-28 18:14:36.355847 : Epoch  2, Batch    135, Loss  0.883840, Average Loss  0.878753, Time  0.448387
2021-09-28 18:14:42.297597 : Epoch  2, Batch    136, Loss  0.878437, Average Loss  0.878741, Time  0.447456
2021-09-28 18:14:48.240855 : Epoch  2, Batch    137, Loss  0.892237, Average Loss  0.878796, Time  0.450692
2021-09-28 18:14:54.179249 : Epoch  2, Batch    138, Loss  0.882577, Average Loss  0.878840, Time  0.449237
2021-09-28 18:15:00.111202 : Epoch  2, Batch    139, Loss  0.874772, Average Loss  0.878825, Time  0.445473
2021-09-28 18:15:06.060834 : Epoch  2, Batch    140, Loss  0.892982, Average Loss  0.878815, Time  0.448980
2021-09-28 18:15:12.016307 : Epoch  2, Batch    141, Loss  0.893668, Average Loss  0.878880, Time  0.459440
2021-09-28 18:15:17.976151 : Epoch  2, Batch    142, Loss  0.888363, Average Loss  0.878980, Time  0.445714
2021-09-28 18:15:23.916300 : Epoch  2, Batch    143, Loss  0.872433, Average Loss  0.878963, Time  0.447278
2021-09-28 18:15:29.863957 : Epoch  2, Batch    144, Loss  0.887942, Average Loss  0.879042, Time  0.447742
2021-09-28 18:15:35.809783 : Epoch  2, Batch    145, Loss  0.875042, Average Loss  0.878964, Time  0.446240
2021-09-28 18:15:41.749257 : Epoch  2, Batch    146, Loss  0.861937, Average Loss  0.878871, Time  0.448690
2021-09-28 18:15:47.707225 : Epoch  2, Batch    147, Loss  0.882405, Average Loss  0.878861, Time  0.452338
2021-09-28 18:15:53.655174 : Epoch  2, Batch    148, Loss  0.881988, Average Loss  0.878858, Time  0.449504
2021-09-28 18:15:59.620727 : Epoch  2, Batch    149, Loss  0.870707, Average Loss  0.878741, Time  0.462147
2021-09-28 18:16:05.570829 : Epoch  2, Batch    150, Loss  0.871368, Average Loss  0.878673, Time  0.449342
2021-09-28 18:16:11.537596 : Epoch  2, Batch    151, Loss  0.867382, Average Loss  0.878546, Time  0.450627
2021-09-28 18:16:17.496845 : Epoch  2, Batch    152, Loss  0.882913, Average Loss  0.878543, Time  0.446099
2021-09-28 18:16:23.452873 : Epoch  2, Batch    153, Loss  0.906473, Average Loss  0.878649, Time  0.445807
2021-09-28 18:16:29.396649 : Epoch  2, Batch    154, Loss  0.882684, Average Loss  0.878645, Time  0.446933
2021-09-28 18:16:35.346616 : Epoch  2, Batch    155, Loss  0.887703, Average Loss  0.878594, Time  0.448994
2021-09-28 18:16:41.295550 : Epoch  2, Batch    156, Loss  0.884789, Average Loss  0.878717, Time  0.447720
2021-09-28 18:16:47.257927 : Epoch  2, Batch    157, Loss  0.888188, Average Loss  0.878745, Time  0.459302
2021-09-28 18:16:53.243876 : Epoch  2, Batch    158, Loss  0.865242, Average Loss  0.878602, Time  0.449399
2021-09-28 18:16:59.210870 : Epoch  2, Batch    159, Loss  0.881653, Average Loss  0.878590, Time  0.447661
2021-09-28 18:17:05.167938 : Epoch  2, Batch    160, Loss  0.865083, Average Loss  0.878611, Time  0.448016
2021-09-28 18:17:11.115331 : Epoch  2, Batch    161, Loss  0.865710, Average Loss  0.878569, Time  0.448473
2021-09-28 18:17:17.074947 : Epoch  2, Batch    162, Loss  0.866283, Average Loss  0.878531, Time  0.448041
2021-09-28 18:17:23.012229 : Epoch  2, Batch    163, Loss  0.866026, Average Loss  0.878469, Time  0.445055
2021-09-28 18:17:28.961912 : Epoch  2, Batch    164, Loss  0.878707, Average Loss  0.878430, Time  0.453014
2021-09-28 18:17:34.906801 : Epoch  2, Batch    165, Loss  0.886870, Average Loss  0.878481, Time  0.447063
2021-09-28 18:17:40.858268 : Epoch  2, Batch    166, Loss  0.860533, Average Loss  0.878342, Time  0.447366
2021-09-28 18:17:46.800253 : Epoch  2, Batch    167, Loss  0.875840, Average Loss  0.878341, Time  0.447592
2021-09-28 18:17:52.746332 : Epoch  2, Batch    168, Loss  0.887654, Average Loss  0.878426, Time  0.446640
2021-09-28 18:17:58.708469 : Epoch  2, Batch    169, Loss  0.892949, Average Loss  0.878376, Time  0.449678
2021-09-28 18:18:04.666404 : Epoch  2, Batch    170, Loss  0.866891, Average Loss  0.878370, Time  0.451693
2021-09-28 18:18:10.618950 : Epoch  2, Batch    171, Loss  0.873869, Average Loss  0.878353, Time  0.446038
2021-09-28 18:18:16.576883 : Epoch  2, Batch    172, Loss  0.866162, Average Loss  0.878325, Time  0.455639
2021-09-28 18:22:59.497270 : CheckPoint: Validation Loss  0.00015156, Best Loss  0.00015156
2021-09-28 18:22:59.528685 : Best Model Updated
2021-09-28 18:23:06.066750 : Epoch  2, Batch    173, Loss  0.880042, Average Loss  0.878285, Time  0.448412
2021-09-28 18:23:12.015854 : Epoch  2, Batch    174, Loss  0.881264, Average Loss  0.878346, Time  0.445515
2021-09-28 18:23:17.984345 : Epoch  2, Batch    175, Loss  0.867865, Average Loss  0.878280, Time  0.450510
2021-09-28 18:23:23.947617 : Epoch  2, Batch    176, Loss  0.886658, Average Loss  0.878368, Time  0.448268
2021-09-28 18:23:29.913817 : Epoch  2, Batch    177, Loss  0.886800, Average Loss  0.878443, Time  0.446857
2021-09-28 18:23:35.897955 : Epoch  2, Batch    178, Loss  0.873105, Average Loss  0.878451, Time  0.461149
2021-09-28 18:23:41.876516 : Epoch  2, Batch    179, Loss  0.880020, Average Loss  0.878441, Time  0.449502
2021-09-28 18:23:47.838579 : Epoch  2, Batch    180, Loss  0.879938, Average Loss  0.878454, Time  0.448583
2021-09-28 18:23:53.798643 : Epoch  2, Batch    181, Loss  0.888683, Average Loss  0.878461, Time  0.447664
2021-09-28 18:23:59.766979 : Epoch  2, Batch    182, Loss  0.870117, Average Loss  0.878393, Time  0.447586
2021-09-28 18:24:05.730253 : Epoch  2, Batch    183, Loss  0.861089, Average Loss  0.878271, Time  0.446942
2021-09-28 18:24:11.684900 : Epoch  2, Batch    184, Loss  0.875553, Average Loss  0.878261, Time  0.447771
2021-09-28 18:24:17.622759 : Epoch  2, Batch    185, Loss  0.867668, Average Loss  0.878238, Time  0.446478
2021-09-28 18:24:23.582391 : Epoch  2, Batch    186, Loss  0.887889, Average Loss  0.878262, Time  0.456963
2021-09-28 18:24:29.541761 : Epoch  2, Batch    187, Loss  0.872220, Average Loss  0.878307, Time  0.444881
2021-09-28 18:24:35.494039 : Epoch  2, Batch    188, Loss  0.858141, Average Loss  0.878188, Time  0.446942
2021-09-28 18:24:41.447645 : Epoch  2, Batch    189, Loss  0.897634, Average Loss  0.878239, Time  0.446594
2021-09-28 18:24:47.431676 : Epoch  2, Batch    190, Loss  0.878982, Average Loss  0.878206, Time  0.447623
2021-09-28 18:24:53.374764 : Epoch  2, Batch    191, Loss  0.880571, Average Loss  0.878249, Time  0.445731
2021-09-28 18:24:59.319367 : Epoch  2, Batch    192, Loss  0.874210, Average Loss  0.878199, Time  0.448522
2021-09-28 18:25:05.274798 : Epoch  2, Batch    193, Loss  0.868226, Average Loss  0.878180, Time  0.447497
2021-09-28 18:25:11.237463 : Epoch  2, Batch    194, Loss  0.887689, Average Loss  0.878284, Time  0.461970
2021-09-28 18:25:17.178831 : Epoch  2, Batch    195, Loss  0.853553, Average Loss  0.878128, Time  0.446153
2021-09-28 18:25:23.133146 : Epoch  2, Batch    196, Loss  0.887513, Average Loss  0.878248, Time  0.445492
2021-09-28 18:25:29.080863 : Epoch  2, Batch    197, Loss  0.879035, Average Loss  0.878219, Time  0.447082
2021-09-28 18:25:35.034329 : Epoch  2, Batch    198, Loss  0.881829, Average Loss  0.878224, Time  0.449907
2021-09-28 18:25:41.016359 : Epoch  2, Batch    199, Loss  0.873857, Average Loss  0.878163, Time  0.451392
2021-09-28 18:25:46.977718 : Epoch  2, Batch    200, Loss  0.859533, Average Loss  0.878100, Time  0.447702
2021-09-28 18:25:52.958732 : Epoch  2, Batch    201, Loss  0.874619, Average Loss  0.878066, Time  0.454627
2021-09-28 18:25:58.925167 : Epoch  2, Batch    202, Loss  0.878001, Average Loss  0.878138, Time  0.446334
2021-09-28 18:26:04.909785 : Epoch  2, Batch    203, Loss  0.894135, Average Loss  0.878198, Time  0.445595
2021-09-28 18:26:10.865261 : Epoch  2, Batch    204, Loss  0.876064, Average Loss  0.878228, Time  0.446185
2021-09-28 18:26:16.846769 : Epoch  2, Batch    205, Loss  0.875176, Average Loss  0.878207, Time  0.445611
2021-09-28 18:26:22.807855 : Epoch  2, Batch    206, Loss  0.877435, Average Loss  0.878235, Time  0.446445
2021-09-28 18:26:28.768520 : Epoch  2, Batch    207, Loss  0.877227, Average Loss  0.878272, Time  0.446725
2021-09-28 18:26:34.740814 : Epoch  2, Batch    208, Loss  0.874025, Average Loss  0.878274, Time  0.445929
2021-09-28 18:26:40.711200 : Epoch  2, Batch    209, Loss  0.889478, Average Loss  0.878292, Time  0.459864
2021-09-28 18:26:46.675593 : Epoch  2, Batch    210, Loss  0.860380, Average Loss  0.878215, Time  0.447253
2021-09-28 18:26:52.644803 : Epoch  2, Batch    211, Loss  0.875770, Average Loss  0.878170, Time  0.447222
2021-09-28 18:26:58.626471 : Epoch  2, Batch    212, Loss  0.880466, Average Loss  0.878189, Time  0.448896
2021-09-28 18:27:04.605390 : Epoch  2, Batch    213, Loss  0.869624, Average Loss  0.878098, Time  0.445927
2021-09-28 18:27:10.578421 : Epoch  2, Batch    214, Loss  0.896097, Average Loss  0.878121, Time  0.445868
2021-09-28 18:27:16.537874 : Epoch  2, Batch    215, Loss  0.894368, Average Loss  0.878237, Time  0.445491
2021-09-28 18:27:22.516347 : Epoch  2, Batch    216, Loss  0.882845, Average Loss  0.878305, Time  0.450110
2021-09-28 18:27:28.498601 : Epoch  2, Batch    217, Loss  0.894951, Average Loss  0.878414, Time  0.457552
2021-09-28 18:27:34.447951 : Epoch  2, Batch    218, Loss  0.866109, Average Loss  0.878364, Time  0.446061
2021-09-28 18:27:40.433803 : Epoch  2, Batch    219, Loss  0.881680, Average Loss  0.878405, Time  0.448605
2021-09-28 18:27:46.411043 : Epoch  2, Batch    220, Loss  0.886647, Average Loss  0.878423, Time  0.449582
2021-09-28 18:27:52.382934 : Epoch  2, Batch    221, Loss  0.871319, Average Loss  0.878389, Time  0.445559
2021-09-28 18:27:58.358675 : Epoch  2, Batch    222, Loss  0.881652, Average Loss  0.878343, Time  0.447953
2021-09-28 18:28:04.309653 : Epoch  2, Batch    223, Loss  0.889603, Average Loss  0.878389, Time  0.448143
2021-09-28 18:28:10.292975 : Epoch  2, Batch    224, Loss  0.870478, Average Loss  0.878378, Time  0.460438
2021-09-28 18:28:16.263855 : Epoch  2, Batch    225, Loss  0.876496, Average Loss  0.878431, Time  0.445295
2021-09-28 18:28:22.243646 : Epoch  2, Batch    226, Loss  0.872186, Average Loss  0.878391, Time  0.447044
2021-09-28 18:28:28.208812 : Epoch  2, Batch    227, Loss  0.866911, Average Loss  0.878306, Time  0.449237
2021-09-28 18:28:34.169119 : Epoch  2, Batch    228, Loss  0.868244, Average Loss  0.878215, Time  0.447593
2021-09-28 18:28:40.139360 : Epoch  2, Batch    229, Loss  0.873755, Average Loss  0.878264, Time  0.447051
2021-09-28 18:28:46.107280 : Epoch  2, Batch    230, Loss  0.871759, Average Loss  0.878226, Time  0.447139
2021-09-28 18:28:52.076717 : Epoch  2, Batch    231, Loss  0.872268, Average Loss  0.878127, Time  0.446759
2021-09-28 18:28:58.055762 : Epoch  2, Batch    232, Loss  0.885065, Average Loss  0.878132, Time  0.458927
2021-09-28 18:29:04.017996 : Epoch  2, Batch    233, Loss  0.892937, Average Loss  0.878235, Time  0.446734
2021-09-28 18:29:09.975934 : Epoch  2, Batch    234, Loss  0.874817, Average Loss  0.878200, Time  0.447183
2021-09-28 18:29:15.928152 : Epoch  2, Batch    235, Loss  0.879028, Average Loss  0.878249, Time  0.447686
2021-09-28 18:29:21.885410 : Epoch  2, Batch    236, Loss  0.864997, Average Loss  0.878160, Time  0.445771
2021-09-28 18:29:27.855499 : Epoch  2, Batch    237, Loss  0.880674, Average Loss  0.878184, Time  0.448951
2021-09-28 18:29:33.814368 : Epoch  2, Batch    238, Loss  0.877014, Average Loss  0.878204, Time  0.448063
2021-09-28 18:29:39.777944 : Epoch  2, Batch    239, Loss  0.876443, Average Loss  0.878159, Time  0.450339
2021-09-28 18:29:45.756143 : Epoch  2, Batch    240, Loss  0.879000, Average Loss  0.878122, Time  0.455249
2021-09-28 18:29:51.720864 : Epoch  2, Batch    241, Loss  0.872840, Average Loss  0.878046, Time  0.446244
2021-09-28 18:29:57.677026 : Epoch  2, Batch    242, Loss  0.876382, Average Loss  0.878010, Time  0.445557
2021-09-28 18:30:03.632825 : Epoch  2, Batch    243, Loss  0.882717, Average Loss  0.878004, Time  0.446302
2021-09-28 18:30:09.590801 : Epoch  2, Batch    244, Loss  0.878219, Average Loss  0.877967, Time  0.445878
2021-09-28 18:30:15.557206 : Epoch  2, Batch    245, Loss  0.859767, Average Loss  0.877933, Time  0.450066
2021-09-28 18:30:21.517454 : Epoch  2, Batch    246, Loss  0.871334, Average Loss  0.877893, Time  0.447381
2021-09-28 18:30:27.463503 : Epoch  2, Batch    247, Loss  0.875826, Average Loss  0.877743, Time  0.445691
2021-09-28 18:30:33.448703 : Epoch  2, Batch    248, Loss  0.871087, Average Loss  0.877692, Time  0.461782
2021-09-28 18:30:39.432934 : Epoch  2, Batch    249, Loss  0.878868, Average Loss  0.877639, Time  0.447996
2021-09-28 18:30:45.388711 : Epoch  2, Batch    250, Loss  0.871641, Average Loss  0.877598, Time  0.448771
2021-09-28 18:30:51.351209 : Epoch  2, Batch    251, Loss  0.881561, Average Loss  0.877670, Time  0.446048
2021-09-28 18:30:57.321145 : Epoch  2, Batch    252, Loss  0.869753, Average Loss  0.877614, Time  0.446973
2021-09-28 18:31:03.284834 : Epoch  2, Batch    253, Loss  0.883684, Average Loss  0.877669, Time  0.446906
2021-09-28 18:31:09.238169 : Epoch  2, Batch    254, Loss  0.868792, Average Loss  0.877634, Time  0.446884
2021-09-28 18:31:15.211572 : Epoch  2, Batch    255, Loss  0.886611, Average Loss  0.877643, Time  0.462755
2021-09-28 18:31:21.173657 : Epoch  2, Batch    256, Loss  0.864631, Average Loss  0.877644, Time  0.447758
2021-09-28 18:31:27.139075 : Epoch  2, Batch    257, Loss  0.873897, Average Loss  0.877605, Time  0.445232
2021-09-28 18:31:33.108048 : Epoch  2, Batch    258, Loss  0.871251, Average Loss  0.877526, Time  0.446179
2021-09-28 18:31:39.151678 : Epoch  2, Batch    259, Loss  0.871427, Average Loss  0.877475, Time  0.447540
2021-09-28 18:31:45.174388 : Epoch  2, Batch    260, Loss  0.881072, Average Loss  0.877478, Time  0.446460
2021-09-28 18:31:51.183203 : Epoch  2, Batch    261, Loss  0.882469, Average Loss  0.877467, Time  0.446113
2021-09-28 18:31:57.195848 : Epoch  2, Batch    262, Loss  0.886499, Average Loss  0.877521, Time  0.447194
2021-09-28 18:32:03.205529 : Epoch  2, Batch    263, Loss  0.863423, Average Loss  0.877447, Time  0.461029
2021-09-28 18:32:09.207938 : Epoch  2, Batch    264, Loss  0.890791, Average Loss  0.877477, Time  0.448746
2021-09-28 18:32:15.219457 : Epoch  2, Batch    265, Loss  0.887314, Average Loss  0.877493, Time  0.445548
2021-09-28 18:32:21.227750 : Epoch  2, Batch    266, Loss  0.882221, Average Loss  0.877447, Time  0.447103
2021-09-28 18:32:27.243798 : Epoch  2, Batch    267, Loss  0.875700, Average Loss  0.877346, Time  0.446104
2021-09-28 18:32:33.252613 : Epoch  2, Batch    268, Loss  0.865934, Average Loss  0.877266, Time  0.447190
2021-09-28 18:32:39.281200 : Epoch  2, Batch    269, Loss  0.869748, Average Loss  0.877175, Time  0.453637
2021-09-28 18:32:45.313291 : Epoch  2, Batch    270, Loss  0.868235, Average Loss  0.877182, Time  0.461554
2021-09-28 18:32:51.329199 : Epoch  2, Batch    271, Loss  0.874872, Average Loss  0.877148, Time  0.450426
2021-09-28 18:32:57.334881 : Epoch  2, Batch    272, Loss  0.853892, Average Loss  0.877015, Time  0.446925
2021-09-28 18:37:40.419266 : CheckPoint: Validation Loss  0.00015361, Best Loss  0.00015156
2021-09-28 18:37:46.388880 : Epoch  2, Batch    273, Loss  0.855162, Average Loss  0.876860, Time  0.448871
2021-09-28 18:37:52.373321 : Epoch  2, Batch    274, Loss  0.890788, Average Loss  0.876960, Time  0.449448
2021-09-28 18:37:58.385754 : Epoch  2, Batch    275, Loss  0.881733, Average Loss  0.876991, Time  0.450398
2021-09-28 18:38:04.394019 : Epoch  2, Batch    276, Loss  0.885219, Average Loss  0.877040, Time  0.461594
2021-09-28 18:38:10.391963 : Epoch  2, Batch    277, Loss  0.876453, Average Loss  0.876901, Time  0.449473
2021-09-28 18:38:16.367832 : Epoch  2, Batch    278, Loss  0.887738, Average Loss  0.876997, Time  0.445579
2021-09-28 18:38:22.360690 : Epoch  2, Batch    279, Loss  0.873437, Average Loss  0.876966, Time  0.448243
2021-09-28 18:38:28.345856 : Epoch  2, Batch    280, Loss  0.872149, Average Loss  0.876890, Time  0.448522
2021-09-28 18:38:34.323873 : Epoch  2, Batch    281, Loss  0.860203, Average Loss  0.876832, Time  0.447978
2021-09-28 18:38:40.308479 : Epoch  2, Batch    282, Loss  0.872891, Average Loss  0.876800, Time  0.447158
2021-09-28 18:38:46.297028 : Epoch  2, Batch    283, Loss  0.869592, Average Loss  0.876746, Time  0.461123
2021-09-28 18:38:52.274854 : Epoch  2, Batch    284, Loss  0.869554, Average Loss  0.876801, Time  0.446409
2021-09-28 18:38:58.252097 : Epoch  2, Batch    285, Loss  0.881139, Average Loss  0.876758, Time  0.446179
2021-09-28 18:39:04.224164 : Epoch  2, Batch    286, Loss  0.867288, Average Loss  0.876641, Time  0.449189
2021-09-28 18:39:10.201059 : Epoch  2, Batch    287, Loss  0.855344, Average Loss  0.876529, Time  0.445881
2021-09-28 18:39:16.186945 : Epoch  2, Batch    288, Loss  0.865757, Average Loss  0.876432, Time  0.446616
2021-09-28 18:39:22.169973 : Epoch  2, Batch    289, Loss  0.877702, Average Loss  0.876554, Time  0.449987
2021-09-28 18:39:28.127631 : Epoch  2, Batch    290, Loss  0.882346, Average Loss  0.876571, Time  0.446906
2021-09-28 18:39:34.110335 : Epoch  2, Batch    291, Loss  0.885324, Average Loss  0.876612, Time  0.462453
2021-09-28 18:39:40.102500 : Epoch  2, Batch    292, Loss  0.870832, Average Loss  0.876603, Time  0.446802
2021-09-28 18:39:46.073466 : Epoch  2, Batch    293, Loss  0.876489, Average Loss  0.876667, Time  0.445919
2021-09-28 18:39:52.060852 : Epoch  2, Batch    294, Loss  0.860450, Average Loss  0.876609, Time  0.446799
2021-09-28 18:39:58.029430 : Epoch  2, Batch    295, Loss  0.869157, Average Loss  0.876522, Time  0.447432
2021-09-28 18:40:04.008381 : Epoch  2, Batch    296, Loss  0.882484, Average Loss  0.876608, Time  0.447774
2021-09-28 18:40:09.998016 : Epoch  2, Batch    297, Loss  0.872351, Average Loss  0.876542, Time  0.450009
2021-09-28 18:40:15.992761 : Epoch  2, Batch    298, Loss  0.890987, Average Loss  0.876559, Time  0.456432
2021-09-28 18:40:21.972603 : Epoch  2, Batch    299, Loss  0.871896, Average Loss  0.876535, Time  0.447621
2021-09-28 18:40:27.948683 : Epoch  2, Batch    300, Loss  0.875968, Average Loss  0.876548, Time  0.445875
2021-09-28 18:40:33.914218 : Epoch  2, Batch    301, Loss  0.855915, Average Loss  0.876463, Time  0.445648
2021-09-28 18:40:39.881459 : Epoch  2, Batch    302, Loss  0.885642, Average Loss  0.876540, Time  0.445216
2021-09-28 18:40:45.861102 : Epoch  2, Batch    303, Loss  0.874704, Average Loss  0.876483, Time  0.445622
2021-09-28 18:40:51.823788 : Epoch  2, Batch    304, Loss  0.877279, Average Loss  0.876487, Time  0.446616
2021-09-28 18:40:57.819527 : Epoch  2, Batch    305, Loss  0.869651, Average Loss  0.876449, Time  0.447153
2021-09-28 18:41:03.815311 : Epoch  2, Batch    306, Loss  0.886964, Average Loss  0.876532, Time  0.463829
2021-09-28 18:41:09.782783 : Epoch  2, Batch    307, Loss  0.878931, Average Loss  0.876556, Time  0.448188
2021-09-28 18:41:15.752982 : Epoch  2, Batch    308, Loss  0.883630, Average Loss  0.876532, Time  0.446789
2021-09-28 18:41:21.725804 : Epoch  2, Batch    309, Loss  0.863449, Average Loss  0.876406, Time  0.445724
2021-09-28 18:41:27.701276 : Epoch  2, Batch    310, Loss  0.865086, Average Loss  0.876391, Time  0.446285
2021-09-28 18:41:33.674821 : Epoch  2, Batch    311, Loss  0.882209, Average Loss  0.876484, Time  0.446281
2021-09-28 18:41:39.658852 : Epoch  2, Batch    312, Loss  0.871046, Average Loss  0.876470, Time  0.448611
2021-09-28 18:41:45.626776 : Epoch  2, Batch    313, Loss  0.875194, Average Loss  0.876437, Time  0.445544
2021-09-28 18:41:51.613931 : Epoch  2, Batch    314, Loss  0.872136, Average Loss  0.876389, Time  0.464631
2021-09-28 18:41:57.603321 : Epoch  2, Batch    315, Loss  0.884577, Average Loss  0.876429, Time  0.450472
2021-09-28 18:42:03.589251 : Epoch  2, Batch    316, Loss  0.869937, Average Loss  0.876413, Time  0.446971
2021-09-28 18:42:09.567677 : Epoch  2, Batch    317, Loss  0.857879, Average Loss  0.876298, Time  0.451103
2021-09-28 18:42:15.542535 : Epoch  2, Batch    318, Loss  0.884640, Average Loss  0.876329, Time  0.446634
2021-09-28 18:42:21.524779 : Epoch  2, Batch    319, Loss  0.883230, Average Loss  0.876393, Time  0.450999
2021-09-28 18:42:27.509352 : Epoch  2, Batch    320, Loss  0.877582, Average Loss  0.876312, Time  0.445989
2021-09-28 18:42:33.495665 : Epoch  2, Batch    321, Loss  0.880818, Average Loss  0.876337, Time  0.448855
2021-09-28 18:42:39.507598 : Epoch  2, Batch    322, Loss  0.871270, Average Loss  0.876290, Time  0.459160
2021-09-28 18:42:45.485920 : Epoch  2, Batch    323, Loss  0.869633, Average Loss  0.876236, Time  0.447057
2021-09-28 18:42:51.458492 : Epoch  2, Batch    324, Loss  0.862302, Average Loss  0.876186, Time  0.445246
2021-09-28 18:42:57.462954 : Epoch  2, Batch    325, Loss  0.880222, Average Loss  0.876246, Time  0.447829
2021-09-28 18:43:03.447957 : Epoch  2, Batch    326, Loss  0.875986, Average Loss  0.876230, Time  0.447176
2021-09-28 18:43:09.434454 : Epoch  2, Batch    327, Loss  0.886490, Average Loss  0.876290, Time  0.446114
2021-09-28 18:43:15.415769 : Epoch  2, Batch    328, Loss  0.874195, Average Loss  0.876344, Time  0.448318
2021-09-28 18:43:21.422898 : Epoch  2, Batch    329, Loss  0.878554, Average Loss  0.876309, Time  0.457886
2021-09-28 18:43:27.400446 : Epoch  2, Batch    330, Loss  0.880996, Average Loss  0.876392, Time  0.450367
2021-09-28 18:43:33.385751 : Epoch  2, Batch    331, Loss  0.885776, Average Loss  0.876481, Time  0.450769
2021-09-28 18:43:39.380551 : Epoch  2, Batch    332, Loss  0.886231, Average Loss  0.876570, Time  0.447432
2021-09-28 18:43:45.347413 : Epoch  2, Batch    333, Loss  0.885373, Average Loss  0.876645, Time  0.447737
2021-09-28 18:43:51.334201 : Epoch  2, Batch    334, Loss  0.877463, Average Loss  0.876638, Time  0.446896
2021-09-28 18:43:57.300774 : Epoch  2, Batch    335, Loss  0.881528, Average Loss  0.876626, Time  0.445356
2021-09-28 18:44:03.266686 : Epoch  2, Batch    336, Loss  0.879772, Average Loss  0.876633, Time  0.446009
2021-09-28 18:44:09.250034 : Epoch  2, Batch    337, Loss  0.879610, Average Loss  0.876570, Time  0.457084
2021-09-28 18:44:15.224886 : Epoch  2, Batch    338, Loss  0.879244, Average Loss  0.876553, Time  0.446336
2021-09-28 18:44:21.197066 : Epoch  2, Batch    339, Loss  0.877150, Average Loss  0.876565, Time  0.445673
2021-09-28 18:44:27.167738 : Epoch  2, Batch    340, Loss  0.886075, Average Loss  0.876531, Time  0.445893
2021-09-28 18:44:33.157417 : Epoch  2, Batch    341, Loss  0.870329, Average Loss  0.876414, Time  0.448224
2021-09-28 18:44:39.137345 : Epoch  2, Batch    342, Loss  0.882664, Average Loss  0.876386, Time  0.449665
2021-09-28 18:44:45.111404 : Epoch  2, Batch    343, Loss  0.871416, Average Loss  0.876380, Time  0.446584
2021-09-28 18:44:51.107416 : Epoch  2, Batch    344, Loss  0.870944, Average Loss  0.876295, Time  0.461083
2021-09-28 18:44:57.080467 : Epoch  2, Batch    345, Loss  0.857469, Average Loss  0.876208, Time  0.445717
2021-09-28 18:45:03.053666 : Epoch  2, Batch    346, Loss  0.868626, Average Loss  0.876241, Time  0.445691
2021-09-28 18:45:09.049047 : Epoch  2, Batch    347, Loss  0.871415, Average Loss  0.876186, Time  0.448465
2021-09-28 18:45:15.037855 : Epoch  2, Batch    348, Loss  0.871107, Average Loss  0.876132, Time  0.447675
2021-09-28 18:45:21.038892 : Epoch  2, Batch    349, Loss  0.875074, Average Loss  0.876153, Time  0.449405
2021-09-28 18:45:27.035357 : Epoch  2, Batch    350, Loss  0.891217, Average Loss  0.876253, Time  0.451270
2021-09-28 18:45:33.016836 : Epoch  2, Batch    351, Loss  0.898839, Average Loss  0.876410, Time  0.446758
2021-09-28 18:45:39.011315 : Epoch  2, Batch    352, Loss  0.874167, Average Loss  0.876366, Time  0.456557
2021-09-28 18:45:44.992421 : Epoch  2, Batch    353, Loss  0.888717, Average Loss  0.876278, Time  0.446805
2021-09-28 18:45:50.979968 : Epoch  2, Batch    354, Loss  0.888896, Average Loss  0.876309, Time  0.447757
2021-09-28 18:45:56.969366 : Epoch  2, Batch    355, Loss  0.868563, Average Loss  0.876213, Time  0.445540
2021-09-28 18:46:02.950114 : Epoch  2, Batch    356, Loss  0.870944, Average Loss  0.876144, Time  0.446440
2021-09-28 18:46:08.921515 : Epoch  2, Batch    357, Loss  0.895846, Average Loss  0.876182, Time  0.445606
2021-09-28 18:46:14.906228 : Epoch  2, Batch    358, Loss  0.870834, Average Loss  0.876210, Time  0.450019
2021-09-28 18:46:20.900213 : Epoch  2, Batch    359, Loss  0.878978, Average Loss  0.876197, Time  0.451891
2021-09-28 18:46:26.880691 : Epoch  2, Batch    360, Loss  0.872143, Average Loss  0.876232, Time  0.461962
2021-09-28 18:46:32.859678 : Epoch  2, Batch    361, Loss  0.873660, Average Loss  0.876272, Time  0.446402
2021-09-28 18:46:38.829120 : Epoch  2, Batch    362, Loss  0.872292, Average Loss  0.876302, Time  0.445309
2021-09-28 18:46:44.780239 : Epoch  2, Batch    363, Loss  0.873449, Average Loss  0.876339, Time  0.445550
2021-09-28 18:46:50.753575 : Epoch  2, Batch    364, Loss  0.884129, Average Loss  0.876366, Time  0.445329
2021-09-28 18:46:56.725753 : Epoch  2, Batch    365, Loss  0.870853, Average Loss  0.876286, Time  0.446079
2021-09-28 18:47:02.701853 : Epoch  2, Batch    366, Loss  0.881914, Average Loss  0.876393, Time  0.445292
2021-09-28 18:47:08.675834 : Epoch  2, Batch    367, Loss  0.872019, Average Loss  0.876374, Time  0.445271
2021-09-28 18:47:14.654473 : Epoch  2, Batch    368, Loss  0.868246, Average Loss  0.876277, Time  0.463180
2021-09-28 18:47:20.632028 : Epoch  2, Batch    369, Loss  0.859925, Average Loss  0.876111, Time  0.450140
2021-09-28 18:47:26.610076 : Epoch  2, Batch    370, Loss  0.885843, Average Loss  0.876206, Time  0.447804
2021-09-28 18:47:32.602405 : Epoch  2, Batch    371, Loss  0.884032, Average Loss  0.876257, Time  0.447707
2021-09-28 18:47:38.591104 : Epoch  2, Batch    372, Loss  0.884867, Average Loss  0.876350, Time  0.446107
2021-09-28 18:52:22.342509 : CheckPoint: Validation Loss  0.00015258, Best Loss  0.00015156
2021-09-28 18:52:28.387273 : Epoch  2, Batch    373, Loss  0.874770, Average Loss  0.876324, Time  0.448107
2021-09-28 18:52:34.385693 : Epoch  2, Batch    374, Loss  0.875902, Average Loss  0.876297, Time  0.460351
2021-09-28 18:52:40.384797 : Epoch  2, Batch    375, Loss  0.875301, Average Loss  0.876335, Time  0.448086
2021-09-28 18:52:46.372203 : Epoch  2, Batch    376, Loss  0.883241, Average Loss  0.876317, Time  0.447351
2021-09-28 18:52:52.379211 : Epoch  2, Batch    377, Loss  0.858673, Average Loss  0.876177, Time  0.450595
2021-09-28 18:52:58.362304 : Epoch  2, Batch    378, Loss  0.874373, Average Loss  0.876183, Time  0.448663
2021-09-28 18:53:04.353861 : Epoch  2, Batch    379, Loss  0.894210, Average Loss  0.876254, Time  0.446264
2021-09-28 18:53:10.345768 : Epoch  2, Batch    380, Loss  0.877219, Average Loss  0.876240, Time  0.450134
2021-09-28 18:53:16.376005 : Epoch  2, Batch    381, Loss  0.876893, Average Loss  0.876182, Time  0.458203
2021-09-28 18:53:22.355597 : Epoch  2, Batch    382, Loss  0.881171, Average Loss  0.876237, Time  0.445587
2021-09-28 18:53:28.342183 : Epoch  2, Batch    383, Loss  0.882048, Average Loss  0.876342, Time  0.446853
2021-09-28 18:53:34.323734 : Epoch  2, Batch    384, Loss  0.877054, Average Loss  0.876349, Time  0.449687
2021-09-28 18:53:40.305283 : Epoch  2, Batch    385, Loss  0.884414, Average Loss  0.876433, Time  0.447843
2021-09-28 18:53:46.309056 : Epoch  2, Batch    386, Loss  0.879602, Average Loss  0.876391, Time  0.447615
2021-09-28 18:53:52.295219 : Epoch  2, Batch    387, Loss  0.885919, Average Loss  0.876460, Time  0.446305
2021-09-28 18:53:58.295464 : Epoch  2, Batch    388, Loss  0.862301, Average Loss  0.876481, Time  0.448226
2021-09-28 18:54:04.299697 : Epoch  2, Batch    389, Loss  0.872620, Average Loss  0.876356, Time  0.463826
2021-09-28 18:54:10.283775 : Epoch  2, Batch    390, Loss  0.887982, Average Loss  0.876401, Time  0.448333
2021-09-28 18:54:16.282163 : Epoch  2, Batch    391, Loss  0.883589, Average Loss  0.876416, Time  0.448590
2021-09-28 18:54:22.269599 : Epoch  2, Batch    392, Loss  0.881797, Average Loss  0.876454, Time  0.444946
2021-09-28 18:54:28.259773 : Epoch  2, Batch    393, Loss  0.884121, Average Loss  0.876533, Time  0.446304
2021-09-28 18:54:34.241330 : Epoch  2, Batch    394, Loss  0.873153, Average Loss  0.876460, Time  0.445720
2021-09-28 18:54:40.230785 : Epoch  2, Batch    395, Loss  0.872246, Average Loss  0.876554, Time  0.445918
2021-09-28 18:54:46.236633 : Epoch  2, Batch    396, Loss  0.886348, Average Loss  0.876548, Time  0.463619
2021-09-28 18:54:52.220191 : Epoch  2, Batch    397, Loss  0.877236, Average Loss  0.876539, Time  0.447909
2021-09-28 18:54:58.215859 : Epoch  2, Batch    398, Loss  0.875664, Average Loss  0.876508, Time  0.449360
2021-09-28 18:55:04.210788 : Epoch  2, Batch    399, Loss  0.889737, Average Loss  0.876588, Time  0.445988
2021-09-28 18:55:10.192989 : Epoch  2, Batch    400, Loss  0.888789, Average Loss  0.876734, Time  0.447203
2021-09-28 18:55:16.184709 : Epoch  2, Batch    401, Loss  0.887560, Average Loss  0.876799, Time  0.446746
2021-09-28 18:55:22.177255 : Epoch  2, Batch    402, Loss  0.867576, Average Loss  0.876747, Time  0.446357
2021-09-28 18:55:28.160869 : Epoch  2, Batch    403, Loss  0.864740, Average Loss  0.876600, Time  0.446059
2021-09-28 18:55:34.157412 : Epoch  2, Batch    404, Loss  0.876428, Average Loss  0.876601, Time  0.453875
2021-09-28 18:55:40.133707 : Epoch  2, Batch    405, Loss  0.892384, Average Loss  0.876687, Time  0.444988
2021-09-28 18:55:46.115923 : Epoch  2, Batch    406, Loss  0.862107, Average Loss  0.876611, Time  0.445827
2021-09-28 18:55:52.094235 : Epoch  2, Batch    407, Loss  0.867620, Average Loss  0.876563, Time  0.446705
2021-09-28 18:55:58.094835 : Epoch  2, Batch    408, Loss  0.872444, Average Loss  0.876555, Time  0.449617
2021-09-28 18:56:04.056360 : Epoch  2, Batch    409, Loss  0.872133, Average Loss  0.876468, Time  0.448544
2021-09-28 18:56:10.040298 : Epoch  2, Batch    410, Loss  0.885832, Average Loss  0.876595, Time  0.447906
2021-09-28 18:56:16.033189 : Epoch  2, Batch    411, Loss  0.875218, Average Loss  0.876593, Time  0.462893
2021-09-28 18:56:22.023883 : Epoch  2, Batch    412, Loss  0.862960, Average Loss  0.876505, Time  0.447523
2021-09-28 18:56:28.024023 : Epoch  2, Batch    413, Loss  0.877851, Average Loss  0.876546, Time  0.447071
2021-09-28 18:56:34.006450 : Epoch  2, Batch    414, Loss  0.875026, Average Loss  0.876441, Time  0.446149
2021-09-28 18:56:39.989967 : Epoch  2, Batch    415, Loss  0.864072, Average Loss  0.876289, Time  0.445962
2021-09-28 18:56:45.975631 : Epoch  2, Batch    416, Loss  0.879547, Average Loss  0.876273, Time  0.446753
2021-09-28 18:56:51.978239 : Epoch  2, Batch    417, Loss  0.888346, Average Loss  0.876240, Time  0.449051
2021-09-28 18:56:57.974796 : Epoch  2, Batch    418, Loss  0.863954, Average Loss  0.876229, Time  0.446830
2021-09-28 18:57:03.976380 : Epoch  2, Batch    419, Loss  0.876679, Average Loss  0.876204, Time  0.461267
2021-09-28 18:57:09.971474 : Epoch  2, Batch    420, Loss  0.874236, Average Loss  0.876142, Time  0.447669
2021-09-28 18:57:15.968608 : Epoch  2, Batch    421, Loss  0.887508, Average Loss  0.876223, Time  0.446636
2021-09-28 18:57:21.961851 : Epoch  2, Batch    422, Loss  0.874515, Average Loss  0.876187, Time  0.447005
2021-09-28 18:57:27.961988 : Epoch  2, Batch    423, Loss  0.864632, Average Loss  0.876062, Time  0.446488
2021-09-28 18:57:33.958905 : Epoch  2, Batch    424, Loss  0.876463, Average Loss  0.876092, Time  0.447041
2021-09-28 18:57:39.954169 : Epoch  2, Batch    425, Loss  0.868160, Average Loss  0.876051, Time  0.446651
2021-09-28 18:57:45.953569 : Epoch  2, Batch    426, Loss  0.852699, Average Loss  0.875953, Time  0.447738
2021-09-28 18:57:51.960323 : Epoch  2, Batch    427, Loss  0.871645, Average Loss  0.875977, Time  0.459158
2021-09-28 18:57:57.949298 : Epoch  2, Batch    428, Loss  0.888312, Average Loss  0.876077, Time  0.447275
2021-09-28 18:58:03.953819 : Epoch  2, Batch    429, Loss  0.884406, Average Loss  0.876131, Time  0.447359
2021-09-28 18:58:09.953222 : Epoch  2, Batch    430, Loss  0.873060, Average Loss  0.876137, Time  0.447507
2021-09-28 18:58:15.942077 : Epoch  2, Batch    431, Loss  0.872725, Average Loss  0.876139, Time  0.452580
2021-09-28 18:58:21.926204 : Epoch  2, Batch    432, Loss  0.870454, Average Loss  0.876066, Time  0.445553
2021-09-28 18:58:27.912048 : Epoch  2, Batch    433, Loss  0.874770, Average Loss  0.875975, Time  0.446964
2021-09-28 18:58:33.897282 : Epoch  2, Batch    434, Loss  0.883282, Average Loss  0.876018, Time  0.445284
2021-09-28 18:58:39.897739 : Epoch  2, Batch    435, Loss  0.879893, Average Loss  0.876022, Time  0.458931
2021-09-28 18:58:45.893892 : Epoch  2, Batch    436, Loss  0.887316, Average Loss  0.876134, Time  0.446610
2021-09-28 18:58:51.887538 : Epoch  2, Batch    437, Loss  0.874241, Average Loss  0.876101, Time  0.446555
2021-09-28 18:58:57.887463 : Epoch  2, Batch    438, Loss  0.862650, Average Loss  0.876030, Time  0.447454
2021-09-28 18:59:03.881862 : Epoch  2, Batch    439, Loss  0.881552, Average Loss  0.876055, Time  0.448313
2021-09-28 18:59:09.864483 : Epoch  2, Batch    440, Loss  0.861172, Average Loss  0.875966, Time  0.445866
2021-09-28 18:59:15.864866 : Epoch  2, Batch    441, Loss  0.886654, Average Loss  0.876035, Time  0.448641
2021-09-28 18:59:21.854220 : Epoch  2, Batch    442, Loss  0.878215, Average Loss  0.876044, Time  0.449548
2021-09-28 18:59:27.853820 : Epoch  2, Batch    443, Loss  0.898304, Average Loss  0.876122, Time  0.460854
2021-09-28 18:59:33.847306 : Epoch  2, Batch    444, Loss  0.863260, Average Loss  0.876047, Time  0.447689
2021-09-28 18:59:39.837257 : Epoch  2, Batch    445, Loss  0.877571, Average Loss  0.876136, Time  0.447129
2021-09-28 18:59:45.821118 : Epoch  2, Batch    446, Loss  0.871943, Average Loss  0.876140, Time  0.447052
2021-09-28 18:59:51.797085 : Epoch  2, Batch    447, Loss  0.870677, Average Loss  0.876114, Time  0.445074
2021-09-28 18:59:57.804038 : Epoch  2, Batch    448, Loss  0.877278, Average Loss  0.876145, Time  0.446777
2021-09-28 19:00:03.796849 : Epoch  2, Batch    449, Loss  0.874248, Average Loss  0.876122, Time  0.452136
2021-09-28 19:00:09.797828 : Epoch  2, Batch    450, Loss  0.877337, Average Loss  0.876150, Time  0.448066
2021-09-28 19:00:15.821598 : Epoch  2, Batch    451, Loss  0.885942, Average Loss  0.876172, Time  0.462775
2021-09-28 19:00:21.814093 : Epoch  2, Batch    452, Loss  0.880068, Average Loss  0.876224, Time  0.445535
2021-09-28 19:00:27.815779 : Epoch  2, Batch    453, Loss  0.888497, Average Loss  0.876248, Time  0.451276
2021-09-28 19:00:33.820122 : Epoch  2, Batch    454, Loss  0.869614, Average Loss  0.876252, Time  0.446328
2021-09-28 19:00:39.816845 : Epoch  2, Batch    455, Loss  0.875390, Average Loss  0.876196, Time  0.445204
2021-09-28 19:00:45.813195 : Epoch  2, Batch    456, Loss  0.868242, Average Loss  0.876214, Time  0.449037
2021-09-28 19:00:51.815801 : Epoch  2, Batch    457, Loss  0.884793, Average Loss  0.876268, Time  0.445493
2021-09-28 19:00:57.837694 : Epoch  2, Batch    458, Loss  0.888144, Average Loss  0.876353, Time  0.448385
2021-09-28 19:01:03.840769 : Epoch  2, Batch    459, Loss  0.888279, Average Loss  0.876437, Time  0.457146
2021-09-28 19:01:09.843186 : Epoch  2, Batch    460, Loss  0.875198, Average Loss  0.876408, Time  0.447536
2021-09-28 19:01:15.849529 : Epoch  2, Batch    461, Loss  0.868488, Average Loss  0.876338, Time  0.446802
2021-09-28 19:01:21.849493 : Epoch  2, Batch    462, Loss  0.870447, Average Loss  0.876257, Time  0.446726
2021-09-28 19:01:27.857472 : Epoch  2, Batch    463, Loss  0.885587, Average Loss  0.876368, Time  0.446918
2021-09-28 19:01:33.838028 : Epoch  2, Batch    464, Loss  0.902340, Average Loss  0.876426, Time  0.446002
2021-09-28 19:01:39.827116 : Epoch  2, Batch    465, Loss  0.863659, Average Loss  0.876308, Time  0.449522
2021-09-28 19:01:45.806415 : Epoch  2, Batch    466, Loss  0.877230, Average Loss  0.876283, Time  0.447322
2021-09-28 19:01:51.792776 : Epoch  2, Batch    467, Loss  0.879406, Average Loss  0.876301, Time  0.457812
2021-09-28 19:01:57.786767 : Epoch  2, Batch    468, Loss  0.869298, Average Loss  0.876318, Time  0.450767
2021-09-28 19:02:03.775054 : Epoch  2, Batch    469, Loss  0.868044, Average Loss  0.876310, Time  0.446976
2021-09-28 19:02:09.761694 : Epoch  2, Batch    470, Loss  0.879032, Average Loss  0.876364, Time  0.449652
2021-09-28 19:02:15.753555 : Epoch  2, Batch    471, Loss  0.867987, Average Loss  0.876329, Time  0.448020
2021-09-28 19:02:21.739871 : Epoch  2, Batch    472, Loss  0.864820, Average Loss  0.876384, Time  0.446419
2021-09-28 19:07:05.490129 : CheckPoint: Validation Loss  0.00015213, Best Loss  0.00015156
2021-09-28 19:07:11.524398 : Epoch  2, Batch    473, Loss  0.874316, Average Loss  0.876480, Time  0.460032
2021-09-28 19:07:17.534421 : Epoch  2, Batch    474, Loss  0.886563, Average Loss  0.876458, Time  0.445545
2021-09-28 19:07:23.540858 : Epoch  2, Batch    475, Loss  0.879483, Average Loss  0.876447, Time  0.447120
2021-09-28 19:07:29.544778 : Epoch  2, Batch    476, Loss  0.866656, Average Loss  0.876354, Time  0.447324
2021-09-28 19:07:35.551247 : Epoch  2, Batch    477, Loss  0.884168, Average Loss  0.876393, Time  0.447527
2021-09-28 19:07:41.553701 : Epoch  2, Batch    478, Loss  0.872938, Average Loss  0.876319, Time  0.446850
2021-09-28 19:07:47.548844 : Epoch  2, Batch    479, Loss  0.875176, Average Loss  0.876328, Time  0.446129
2021-09-28 19:07:53.545081 : Epoch  2, Batch    480, Loss  0.861688, Average Loss  0.876275, Time  0.460982
2021-09-28 19:07:59.541695 : Epoch  2, Batch    481, Loss  0.894822, Average Loss  0.876448, Time  0.446575
2021-09-28 19:08:05.525073 : Epoch  2, Batch    482, Loss  0.873639, Average Loss  0.876452, Time  0.445714
2021-09-28 19:08:11.514829 : Epoch  2, Batch    483, Loss  0.882086, Average Loss  0.876515, Time  0.447223
2021-09-28 19:08:17.499301 : Epoch  2, Batch    484, Loss  0.878261, Average Loss  0.876558, Time  0.446707
2021-09-28 19:08:23.496213 : Epoch  2, Batch    485, Loss  0.877453, Average Loss  0.876540, Time  0.448107
2021-09-28 19:08:29.506905 : Epoch  2, Batch    486, Loss  0.881640, Average Loss  0.876611, Time  0.449653
2021-09-28 19:08:35.524411 : Epoch  2, Batch    487, Loss  0.864547, Average Loss  0.876657, Time  0.447825
2021-09-28 19:08:41.547042 : Epoch  2, Batch    488, Loss  0.875636, Average Loss  0.876707, Time  0.463091
2021-09-28 19:08:47.539319 : Epoch  2, Batch    489, Loss  0.881945, Average Loss  0.876728, Time  0.445654
2021-09-28 19:08:53.559054 : Epoch  2, Batch    490, Loss  0.880065, Average Loss  0.876717, Time  0.448853
2021-09-28 19:08:59.572842 : Epoch  2, Batch    491, Loss  0.880912, Average Loss  0.876695, Time  0.449099
2021-09-28 19:09:05.577322 : Epoch  2, Batch    492, Loss  0.879856, Average Loss  0.876740, Time  0.447065
2021-09-28 19:09:11.582609 : Epoch  2, Batch    493, Loss  0.866709, Average Loss  0.876691, Time  0.446805
2021-09-28 19:09:17.605236 : Epoch  2, Batch    494, Loss  0.871478, Average Loss  0.876746, Time  0.452551
2021-09-28 19:09:23.627895 : Epoch  2, Batch    495, Loss  0.880276, Average Loss  0.876802, Time  0.460650
2021-09-28 19:09:29.632986 : Epoch  2, Batch    496, Loss  0.875872, Average Loss  0.876769, Time  0.446032
2021-09-28 19:09:35.650234 : Epoch  2, Batch    497, Loss  0.866958, Average Loss  0.876742, Time  0.448539
2021-09-28 19:09:41.660994 : Epoch  2, Batch    498, Loss  0.886079, Average Loss  0.876717, Time  0.447042
2021-09-28 19:09:47.665001 : Epoch  2, Batch    499, Loss  0.872675, Average Loss  0.876721, Time  0.445744
2021-09-28 19:09:53.674467 : Epoch  2, Batch    500, Loss  0.885401, Average Loss  0.876768, Time  0.446275
2021-09-28 19:09:59.687665 : Epoch  2, Batch    501, Loss  0.883566, Average Loss  0.876906, Time  0.449800
2021-09-28 19:10:05.698193 : Epoch  2, Batch    502, Loss  0.881334, Average Loss  0.876885, Time  0.445678
2021-09-28 19:10:11.707836 : Epoch  2, Batch    503, Loss  0.873137, Average Loss  0.876877, Time  0.456309
2021-09-28 19:10:17.708203 : Epoch  2, Batch    504, Loss  0.863566, Average Loss  0.876808, Time  0.445684
2021-09-28 19:10:23.707708 : Epoch  2, Batch    505, Loss  0.866778, Average Loss  0.876794, Time  0.449172
2021-09-28 19:10:29.720188 : Epoch  2, Batch    506, Loss  0.872107, Average Loss  0.876720, Time  0.447589
2021-09-28 19:10:35.730840 : Epoch  2, Batch    507, Loss  0.870639, Average Loss  0.876678, Time  0.446771
2021-09-28 19:10:41.740083 : Epoch  2, Batch    508, Loss  0.878758, Average Loss  0.876654, Time  0.448376
2021-09-28 19:10:47.754699 : Epoch  2, Batch    509, Loss  0.875054, Average Loss  0.876712, Time  0.447645
2021-09-28 19:10:53.775857 : Epoch  2, Batch    510, Loss  0.878311, Average Loss  0.876778, Time  0.456424
2021-09-28 19:10:59.788010 : Epoch  2, Batch    511, Loss  0.874624, Average Loss  0.876740, Time  0.445234
2021-09-28 19:11:05.793119 : Epoch  2, Batch    512, Loss  0.862057, Average Loss  0.876695, Time  0.447125
2021-09-28 19:11:11.795976 : Epoch  2, Batch    513, Loss  0.866344, Average Loss  0.876651, Time  0.446303
2021-09-28 19:11:17.800333 : Epoch  2, Batch    514, Loss  0.871752, Average Loss  0.876649, Time  0.448918
2021-09-28 19:11:23.806813 : Epoch  2, Batch    515, Loss  0.887473, Average Loss  0.876664, Time  0.446581
2021-09-28 19:11:29.824241 : Epoch  2, Batch    516, Loss  0.868659, Average Loss  0.876657, Time  0.447348
2021-09-28 19:11:35.845280 : Epoch  2, Batch    517, Loss  0.880212, Average Loss  0.876769, Time  0.448135
2021-09-28 19:11:41.872492 : Epoch  2, Batch    518, Loss  0.897717, Average Loss  0.876834, Time  0.460950
2021-09-28 19:11:47.889740 : Epoch  2, Batch    519, Loss  0.868254, Average Loss  0.876759, Time  0.449719
2021-09-28 19:11:53.908811 : Epoch  2, Batch    520, Loss  0.870947, Average Loss  0.876726, Time  0.447800
2021-09-28 19:11:59.911574 : Epoch  2, Batch    521, Loss  0.878488, Average Loss  0.876714, Time  0.445619
2021-09-28 19:12:05.926524 : Epoch  2, Batch    522, Loss  0.878553, Average Loss  0.876751, Time  0.446512
2021-09-28 19:12:11.924356 : Epoch  2, Batch    523, Loss  0.881841, Average Loss  0.876812, Time  0.446111
2021-09-28 19:12:17.922940 : Epoch  2, Batch    524, Loss  0.885290, Average Loss  0.876927, Time  0.445708
2021-09-28 19:12:23.928807 : Epoch  2, Batch    525, Loss  0.880266, Average Loss  0.876927, Time  0.445410
2021-09-28 19:12:29.952295 : Epoch  2, Batch    526, Loss  0.876614, Average Loss  0.876930, Time  0.461974
2021-09-28 19:12:35.967288 : Epoch  2, Batch    527, Loss  0.859342, Average Loss  0.876794, Time  0.448025
2021-09-28 19:12:41.968022 : Epoch  2, Batch    528, Loss  0.872725, Average Loss  0.876787, Time  0.448637
2021-09-28 19:12:47.974603 : Epoch  2, Batch    529, Loss  0.881746, Average Loss  0.876803, Time  0.448596
2021-09-28 19:12:53.979873 : Epoch  2, Batch    530, Loss  0.888711, Average Loss  0.876842, Time  0.445944
2021-09-28 19:12:59.985709 : Epoch  2, Batch    531, Loss  0.870396, Average Loss  0.876765, Time  0.446161
2021-09-28 19:13:05.999515 : Epoch  2, Batch    532, Loss  0.886205, Average Loss  0.876765, Time  0.445847
2021-09-28 19:13:12.014500 : Epoch  2, Batch    533, Loss  0.876150, Average Loss  0.876719, Time  0.446037
2021-09-28 19:13:18.025762 : Epoch  2, Batch    534, Loss  0.868719, Average Loss  0.876675, Time  0.454951
2021-09-28 19:13:24.037570 : Epoch  2, Batch    535, Loss  0.864974, Average Loss  0.876592, Time  0.450849
2021-09-28 19:13:30.035243 : Epoch  2, Batch    536, Loss  0.870274, Average Loss  0.876545, Time  0.449316
2021-09-28 19:13:36.054481 : Epoch  2, Batch    537, Loss  0.870877, Average Loss  0.876501, Time  0.450897
2021-09-28 19:13:42.060702 : Epoch  2, Batch    538, Loss  0.874820, Average Loss  0.876479, Time  0.448621
2021-09-28 19:13:48.102802 : Epoch  2, Batch    539, Loss  0.866242, Average Loss  0.876424, Time  0.448297
2021-09-28 19:13:54.105778 : Epoch  2, Batch    540, Loss  0.882151, Average Loss  0.876405, Time  0.447474
2021-09-28 19:14:00.133856 : Epoch  2, Batch    541, Loss  0.866188, Average Loss  0.876384, Time  0.457162
2021-09-28 19:14:06.161969 : Epoch  2, Batch    542, Loss  0.860278, Average Loss  0.876272, Time  0.446207
2021-09-28 19:14:12.179455 : Epoch  2, Batch    543, Loss  0.889889, Average Loss  0.876364, Time  0.446810
2021-09-28 19:14:18.181544 : Epoch  2, Batch    544, Loss  0.865868, Average Loss  0.876339, Time  0.445143
2021-09-28 19:14:24.174445 : Epoch  2, Batch    545, Loss  0.870012, Average Loss  0.876402, Time  0.449393
2021-09-28 19:14:30.170033 : Epoch  2, Batch    546, Loss  0.873256, Average Loss  0.876425, Time  0.445884
2021-09-28 19:14:36.181753 : Epoch  2, Batch    547, Loss  0.867923, Average Loss  0.876407, Time  0.448510
2021-09-28 19:14:42.190396 : Epoch  2, Batch    548, Loss  0.854286, Average Loss  0.876323, Time  0.446816
2021-09-28 19:14:48.191041 : Epoch  2, Batch    549, Loss  0.888422, Average Loss  0.876390, Time  0.460390
2021-09-28 19:14:54.207500 : Epoch  2, Batch    550, Loss  0.881885, Average Loss  0.876343, Time  0.445798
2021-09-28 19:15:00.209849 : Epoch  2, Batch    551, Loss  0.859058, Average Loss  0.876144, Time  0.445450
2021-09-28 19:15:06.219051 : Epoch  2, Batch    552, Loss  0.855831, Average Loss  0.876053, Time  0.445534
2021-09-28 19:15:12.220804 : Epoch  2, Batch    553, Loss  0.876622, Average Loss  0.875992, Time  0.445897
2021-09-28 19:15:18.219980 : Epoch  2, Batch    554, Loss  0.878915, Average Loss  0.875942, Time  0.447270
2021-09-28 19:15:24.226935 : Epoch  2, Batch    555, Loss  0.879618, Average Loss  0.875998, Time  0.446923
2021-09-28 19:15:30.240493 : Epoch  2, Batch    556, Loss  0.866930, Average Loss  0.875978, Time  0.455673
2021-09-28 19:15:36.251483 : Epoch  2, Batch    557, Loss  0.888109, Average Loss  0.875939, Time  0.447902
2021-09-28 19:15:42.249354 : Epoch  2, Batch    558, Loss  0.886811, Average Loss  0.876019, Time  0.448035
2021-09-28 19:15:48.257761 : Epoch  2, Batch    559, Loss  0.882452, Average Loss  0.876036, Time  0.445811
2021-09-28 19:15:54.267860 : Epoch  2, Batch    560, Loss  0.863618, Average Loss  0.875993, Time  0.448134
2021-09-28 19:16:00.266573 : Epoch  2, Batch    561, Loss  0.867231, Average Loss  0.875961, Time  0.446890
2021-09-28 19:16:06.273612 : Epoch  2, Batch    562, Loss  0.869219, Average Loss  0.875946, Time  0.445352
2021-09-28 19:16:12.296733 : Epoch  2, Batch    563, Loss  0.876424, Average Loss  0.875961, Time  0.447831
2021-09-28 19:16:18.301155 : Epoch  2, Batch    564, Loss  0.867555, Average Loss  0.875878, Time  0.457973
2021-09-28 19:16:24.315686 : Epoch  2, Batch    565, Loss  0.874701, Average Loss  0.875897, Time  0.447891
2021-09-28 19:16:30.302743 : Epoch  2, Batch    566, Loss  0.881839, Average Loss  0.875897, Time  0.447260
2021-09-28 19:16:36.308928 : Epoch  2, Batch    567, Loss  0.870915, Average Loss  0.875891, Time  0.447539
2021-09-28 19:16:42.295877 : Epoch  2, Batch    568, Loss  0.882064, Average Loss  0.875960, Time  0.450627
2021-09-28 19:16:48.304280 : Epoch  2, Batch    569, Loss  0.871368, Average Loss  0.876018, Time  0.446676
2021-09-28 19:16:54.324960 : Epoch  2, Batch    570, Loss  0.876400, Average Loss  0.875970, Time  0.445483
2021-09-28 19:17:00.347914 : Epoch  2, Batch    571, Loss  0.878329, Average Loss  0.875942, Time  0.464023
2021-09-28 19:17:06.354467 : Epoch  2, Batch    572, Loss  0.867947, Average Loss  0.875857, Time  0.446193
2021-09-28 19:21:51.130959 : CheckPoint: Validation Loss  0.00015426, Best Loss  0.00015156
2021-09-28 19:21:57.080278 : Epoch  2, Batch    573, Loss  0.875569, Average Loss  0.875861, Time  0.446764
2021-09-28 19:22:03.041694 : Epoch  2, Batch    574, Loss  0.868371, Average Loss  0.875824, Time  0.447692
2021-09-28 19:22:08.997116 : Epoch  2, Batch    575, Loss  0.892701, Average Loss  0.875911, Time  0.446527
2021-09-28 19:22:14.959787 : Epoch  2, Batch    576, Loss  0.874592, Average Loss  0.875867, Time  0.445348
2021-09-28 19:22:20.931127 : Epoch  2, Batch    577, Loss  0.878698, Average Loss  0.875968, Time  0.460108
2021-09-28 19:22:26.892040 : Epoch  2, Batch    578, Loss  0.866226, Average Loss  0.875927, Time  0.446563
2021-09-28 19:22:32.850772 : Epoch  2, Batch    579, Loss  0.860260, Average Loss  0.875757, Time  0.448521
2021-09-28 19:22:38.824163 : Epoch  2, Batch    580, Loss  0.870927, Average Loss  0.875726, Time  0.448032
2021-09-28 19:22:44.781184 : Epoch  2, Batch    581, Loss  0.871363, Average Loss  0.875698, Time  0.446737
2021-09-28 19:22:50.739937 : Epoch  2, Batch    582, Loss  0.884976, Average Loss  0.875717, Time  0.445263
2021-09-28 19:22:56.726822 : Epoch  2, Batch    583, Loss  0.875542, Average Loss  0.875684, Time  0.445057
2021-09-28 19:23:02.685009 : Epoch  2, Batch    584, Loss  0.860908, Average Loss  0.875604, Time  0.445618
2021-09-28 19:23:08.672623 : Epoch  2, Batch    585, Loss  0.867987, Average Loss  0.875522, Time  0.464588
2021-09-28 19:23:14.633912 : Epoch  2, Batch    586, Loss  0.875763, Average Loss  0.875502, Time  0.447391
2021-09-28 19:23:20.615348 : Epoch  2, Batch    587, Loss  0.877863, Average Loss  0.875462, Time  0.448141
2021-09-28 19:23:26.576209 : Epoch  2, Batch    588, Loss  0.859081, Average Loss  0.875446, Time  0.450909
2021-09-28 19:23:32.535989 : Epoch  2, Batch    589, Loss  0.867706, Average Loss  0.875421, Time  0.446088
2021-09-28 19:23:36.943090 : Epoch  2, Batch    590, Loss  0.879768, Average Loss  0.875380, Time  0.346765
2021-09-28 19:23:42.909808 : Epoch  2, Batch    591, Loss  0.873532, Average Loss  0.875330, Time  0.445199
2021-09-28 19:23:48.865839 : Epoch  2, Batch    592, Loss  0.890894, Average Loss  0.875376, Time  0.445672
2021-09-28 19:23:54.839260 : Epoch  2, Batch    593, Loss  0.869718, Average Loss  0.875304, Time  0.462419
2021-09-28 19:24:00.794292 : Epoch  2, Batch    594, Loss  0.885945, Average Loss  0.875367, Time  0.447373
2021-09-28 19:24:06.746856 : Epoch  2, Batch    595, Loss  0.865165, Average Loss  0.875332, Time  0.445330
2021-09-28 19:24:12.705397 : Epoch  2, Batch    596, Loss  0.869006, Average Loss  0.875245, Time  0.446745
2021-09-28 19:24:18.673374 : Epoch  2, Batch    597, Loss  0.875377, Average Loss  0.875236, Time  0.449875
2021-09-28 19:24:24.655452 : Epoch  2, Batch    598, Loss  0.870796, Average Loss  0.875212, Time  0.447780
2021-09-28 19:24:30.632364 : Epoch  2, Batch    599, Loss  0.872791, Average Loss  0.875127, Time  0.448084
2021-09-28 19:24:36.592703 : Epoch  2, Batch    600, Loss  0.880313, Average Loss  0.875085, Time  0.449372
2021-09-28 19:24:42.552567 : Epoch  2, Batch    601, Loss  0.869269, Average Loss  0.874993, Time  0.456300
2021-09-28 19:24:48.512015 : Epoch  2, Batch    602, Loss  0.860431, Average Loss  0.874957, Time  0.447699
2021-09-28 19:24:54.479979 : Epoch  2, Batch    603, Loss  0.893902, Average Loss  0.875103, Time  0.446853
2021-09-28 19:25:00.421729 : Epoch  2, Batch    604, Loss  0.866417, Average Loss  0.875053, Time  0.447137
2021-09-28 19:25:06.368600 : Epoch  2, Batch    605, Loss  0.863468, Average Loss  0.874909, Time  0.445894
2021-09-28 19:25:12.327057 : Epoch  2, Batch    606, Loss  0.874511, Average Loss  0.874971, Time  0.452891
2021-09-28 19:25:18.295021 : Epoch  2, Batch    607, Loss  0.883860, Average Loss  0.875052, Time  0.445816
2021-09-28 19:25:24.279291 : Epoch  2, Batch    608, Loss  0.870170, Average Loss  0.875040, Time  0.461945
2021-09-28 19:25:30.243700 : Epoch  2, Batch    609, Loss  0.885354, Average Loss  0.875107, Time  0.449405
2021-09-28 19:25:36.208346 : Epoch  2, Batch    610, Loss  0.872554, Average Loss  0.875040, Time  0.447864
2021-09-28 19:25:42.168237 : Epoch  2, Batch    611, Loss  0.865770, Average Loss  0.874993, Time  0.445696
2021-09-28 19:25:48.124484 : Epoch  2, Batch    612, Loss  0.885491, Average Loss  0.875106, Time  0.446890
2021-09-28 19:25:54.082807 : Epoch  2, Batch    613, Loss  0.884338, Average Loss  0.875138, Time  0.445414
2021-09-28 19:26:00.057456 : Epoch  2, Batch    614, Loss  0.871891, Average Loss  0.875122, Time  0.448197
2021-09-28 19:26:05.998629 : Epoch  2, Batch    615, Loss  0.860940, Average Loss  0.875107, Time  0.446999
2021-09-28 19:26:11.971607 : Epoch  2, Batch    616, Loss  0.867240, Average Loss  0.875045, Time  0.456341
2021-09-28 19:26:17.922860 : Epoch  2, Batch    617, Loss  0.872810, Average Loss  0.874967, Time  0.445847
2021-09-28 19:26:23.908946 : Epoch  2, Batch    618, Loss  0.870143, Average Loss  0.874998, Time  0.447415
2021-09-28 19:26:29.878006 : Epoch  2, Batch    619, Loss  0.861165, Average Loss  0.874921, Time  0.446426
2021-09-28 19:26:35.825264 : Epoch  2, Batch    620, Loss  0.862579, Average Loss  0.874863, Time  0.451661
2021-09-28 19:26:41.797484 : Epoch  2, Batch    621, Loss  0.865907, Average Loss  0.874755, Time  0.447126
2021-09-28 19:26:47.769778 : Epoch  2, Batch    622, Loss  0.861796, Average Loss  0.874691, Time  0.448609
2021-09-28 19:26:53.725835 : Epoch  2, Batch    623, Loss  0.866887, Average Loss  0.874702, Time  0.448265
2021-09-28 19:26:59.702601 : Epoch  2, Batch    624, Loss  0.894814, Average Loss  0.874794, Time  0.458354
2021-09-28 19:27:05.670426 : Epoch  2, Batch    625, Loss  0.882314, Average Loss  0.874865, Time  0.446807
2021-09-28 19:27:11.617517 : Epoch  2, Batch    626, Loss  0.877446, Average Loss  0.874989, Time  0.447524
2021-09-28 19:27:17.574340 : Epoch  2, Batch    627, Loss  0.880915, Average Loss  0.875035, Time  0.446922
2021-09-28 19:27:23.542929 : Epoch  2, Batch    628, Loss  0.868806, Average Loss  0.874937, Time  0.446512
2021-09-28 19:27:29.519827 : Epoch  2, Batch    629, Loss  0.890717, Average Loss  0.874969, Time  0.449968
2021-09-28 19:27:35.482372 : Epoch  2, Batch    630, Loss  0.893383, Average Loss  0.875070, Time  0.446033
2021-09-28 19:27:41.432071 : Epoch  2, Batch    631, Loss  0.887416, Average Loss  0.875144, Time  0.445402
2021-09-28 19:27:47.400778 : Epoch  2, Batch    632, Loss  0.873273, Average Loss  0.875158, Time  0.457498
2021-09-28 19:27:53.366226 : Epoch  2, Batch    633, Loss  0.877816, Average Loss  0.875173, Time  0.446600
2021-09-28 19:27:59.312144 : Epoch  2, Batch    634, Loss  0.875078, Average Loss  0.875132, Time  0.446872
2021-09-28 19:28:05.270902 : Epoch  2, Batch    635, Loss  0.891561, Average Loss  0.875191, Time  0.450447
2021-09-28 19:28:11.237296 : Epoch  2, Batch    636, Loss  0.882349, Average Loss  0.875166, Time  0.446000
2021-09-28 19:28:17.180367 : Epoch  2, Batch    637, Loss  0.875338, Average Loss  0.875171, Time  0.446277
2021-09-28 19:28:23.132907 : Epoch  2, Batch    638, Loss  0.883952, Average Loss  0.875278, Time  0.447199
2021-09-28 19:28:29.108794 : Epoch  2, Batch    639, Loss  0.861722, Average Loss  0.875179, Time  0.459975
2021-09-28 19:28:35.065856 : Epoch  2, Batch    640, Loss  0.882659, Average Loss  0.875286, Time  0.446690
2021-09-28 19:28:41.005792 : Epoch  2, Batch    641, Loss  0.866057, Average Loss  0.875183, Time  0.446635
2021-09-28 19:28:46.971012 : Epoch  2, Batch    642, Loss  0.863586, Average Loss  0.875110, Time  0.449283
2021-09-28 19:28:52.939763 : Epoch  2, Batch    643, Loss  0.882681, Average Loss  0.875032, Time  0.446792
2021-09-28 19:28:58.908228 : Epoch  2, Batch    644, Loss  0.859849, Average Loss  0.875015, Time  0.447088
2021-09-28 19:29:04.859843 : Epoch  2, Batch    645, Loss  0.873415, Average Loss  0.874994, Time  0.448535
2021-09-28 19:29:10.834212 : Epoch  2, Batch    646, Loss  0.890917, Average Loss  0.875089, Time  0.447248
2021-09-28 19:29:16.811762 : Epoch  2, Batch    647, Loss  0.872094, Average Loss  0.875096, Time  0.456539
2021-09-28 19:29:22.777511 : Epoch  2, Batch    648, Loss  0.882963, Average Loss  0.875124, Time  0.447254
2021-09-28 19:29:28.735531 : Epoch  2, Batch    649, Loss  0.870290, Average Loss  0.875105, Time  0.448629
2021-09-28 19:29:34.701973 : Epoch  2, Batch    650, Loss  0.887154, Average Loss  0.875154, Time  0.445894
2021-09-28 19:29:40.666913 : Epoch  2, Batch    651, Loss  0.877149, Average Loss  0.875110, Time  0.447169
2021-09-28 19:29:46.623055 : Epoch  2, Batch    652, Loss  0.879503, Average Loss  0.875107, Time  0.446408
2021-09-28 19:29:52.599217 : Epoch  2, Batch    653, Loss  0.863187, Average Loss  0.874980, Time  0.447132
2021-09-28 19:29:58.565579 : Epoch  2, Batch    654, Loss  0.869565, Average Loss  0.874980, Time  0.448284
2021-09-28 19:30:04.542061 : Epoch  2, Batch    655, Loss  0.866110, Average Loss  0.874934, Time  0.459237
2021-09-28 19:30:10.513095 : Epoch  2, Batch    656, Loss  0.865024, Average Loss  0.874918, Time  0.449560
2021-09-28 19:30:16.474759 : Epoch  2, Batch    657, Loss  0.888061, Average Loss  0.874934, Time  0.446215
2021-09-28 19:30:22.414767 : Epoch  2, Batch    658, Loss  0.886626, Average Loss  0.874926, Time  0.445550
2021-09-28 19:30:28.391999 : Epoch  2, Batch    659, Loss  0.865089, Average Loss  0.874810, Time  0.446024
2021-09-28 19:30:34.368247 : Epoch  2, Batch    660, Loss  0.876569, Average Loss  0.874817, Time  0.448119
2021-09-28 19:30:40.338100 : Epoch  2, Batch    661, Loss  0.895561, Average Loss  0.874953, Time  0.446208
2021-09-28 19:30:46.315618 : Epoch  2, Batch    662, Loss  0.869776, Average Loss  0.874949, Time  0.459192
2021-09-28 19:30:52.279812 : Epoch  2, Batch    663, Loss  0.876499, Average Loss  0.874904, Time  0.445402
2021-09-28 19:30:58.237317 : Epoch  2, Batch    664, Loss  0.871473, Average Loss  0.874749, Time  0.450855
2021-09-28 19:31:04.209810 : Epoch  2, Batch    665, Loss  0.859398, Average Loss  0.874728, Time  0.446345
2021-09-28 19:31:10.158807 : Epoch  2, Batch    666, Loss  0.888889, Average Loss  0.874786, Time  0.445457
2021-09-28 19:31:16.133352 : Epoch  2, Batch    667, Loss  0.857830, Average Loss  0.874679, Time  0.448757
2021-09-28 19:31:22.079909 : Epoch  2, Batch    668, Loss  0.886448, Average Loss  0.874764, Time  0.445767
2021-09-28 19:31:28.049799 : Epoch  2, Batch    669, Loss  0.864248, Average Loss  0.874745, Time  0.447344
2021-09-28 19:31:34.050353 : Epoch  2, Batch    670, Loss  0.875726, Average Loss  0.874729, Time  0.463645
2021-09-28 19:31:39.996464 : Epoch  2, Batch    671, Loss  0.872886, Average Loss  0.874753, Time  0.446544
2021-09-28 19:31:45.967668 : Epoch  2, Batch    672, Loss  0.861270, Average Loss  0.874736, Time  0.448154
2021-09-28 19:36:28.547794 : CheckPoint: Validation Loss  0.00015380, Best Loss  0.00015156
2021-09-28 19:36:34.484629 : Epoch  2, Batch    673, Loss  0.883858, Average Loss  0.874783, Time  0.448651
2021-09-28 19:36:40.440811 : Epoch  2, Batch    674, Loss  0.878301, Average Loss  0.874742, Time  0.445836
2021-09-28 19:36:46.415840 : Epoch  2, Batch    675, Loss  0.873012, Average Loss  0.874710, Time  0.462652
2021-09-28 19:36:52.359894 : Epoch  2, Batch    676, Loss  0.850023, Average Loss  0.874626, Time  0.445904
2021-09-28 19:36:58.312180 : Epoch  2, Batch    677, Loss  0.879041, Average Loss  0.874601, Time  0.446416
2021-09-28 19:37:04.255133 : Epoch  2, Batch    678, Loss  0.874398, Average Loss  0.874608, Time  0.447456
2021-09-28 19:37:10.210356 : Epoch  2, Batch    679, Loss  0.892528, Average Loss  0.874695, Time  0.448965
2021-09-28 19:37:16.154089 : Epoch  2, Batch    680, Loss  0.859401, Average Loss  0.874683, Time  0.446460
2021-09-28 19:37:22.119374 : Epoch  2, Batch    681, Loss  0.866483, Average Loss  0.874542, Time  0.446356
2021-09-28 19:37:28.073104 : Epoch  2, Batch    682, Loss  0.861700, Average Loss  0.874482, Time  0.449537
2021-09-28 19:37:34.047216 : Epoch  2, Batch    683, Loss  0.882348, Average Loss  0.874483, Time  0.461682
2021-09-28 19:37:40.002803 : Epoch  2, Batch    684, Loss  0.859475, Average Loss  0.874389, Time  0.450471
2021-09-28 19:37:45.963927 : Epoch  2, Batch    685, Loss  0.876875, Average Loss  0.874387, Time  0.449855
2021-09-28 19:37:51.918203 : Epoch  2, Batch    686, Loss  0.858723, Average Loss  0.874272, Time  0.445878
2021-09-28 19:37:57.866547 : Epoch  2, Batch    687, Loss  0.884553, Average Loss  0.874372, Time  0.446711
2021-09-28 19:38:03.834139 : Epoch  2, Batch    688, Loss  0.866347, Average Loss  0.874326, Time  0.449274
2021-09-28 19:38:09.783430 : Epoch  2, Batch    689, Loss  0.868613, Average Loss  0.874259, Time  0.450366
2021-09-28 19:38:15.744014 : Epoch  2, Batch    690, Loss  0.880690, Average Loss  0.874262, Time  0.449363
2021-09-28 19:38:21.720028 : Epoch  2, Batch    691, Loss  0.872764, Average Loss  0.874221, Time  0.460246
2021-09-28 19:38:27.677200 : Epoch  2, Batch    692, Loss  0.870066, Average Loss  0.874172, Time  0.447096
2021-09-28 19:38:33.628637 : Epoch  2, Batch    693, Loss  0.845360, Average Loss  0.874066, Time  0.447973
2021-09-28 19:38:39.585229 : Epoch  2, Batch    694, Loss  0.869865, Average Loss  0.874057, Time  0.445766
2021-09-28 19:38:45.541307 : Epoch  2, Batch    695, Loss  0.885629, Average Loss  0.874084, Time  0.447466
2021-09-28 19:38:51.494897 : Epoch  2, Batch    696, Loss  0.876663, Average Loss  0.874088, Time  0.445224
2021-09-28 19:38:57.437848 : Epoch  2, Batch    697, Loss  0.867397, Average Loss  0.874090, Time  0.444886
2021-09-28 19:39:03.385831 : Epoch  2, Batch    698, Loss  0.859196, Average Loss  0.873956, Time  0.447387
2021-09-28 19:39:09.356758 : Epoch  2, Batch    699, Loss  0.870061, Average Loss  0.873943, Time  0.459152
2021-09-28 19:39:15.312826 : Epoch  2, Batch    700, Loss  0.860104, Average Loss  0.873816, Time  0.446814
2021-09-28 19:39:21.264905 : Epoch  2, Batch    701, Loss  0.860561, Average Loss  0.873701, Time  0.450468
2021-09-28 19:39:27.219252 : Epoch  2, Batch    702, Loss  0.858364, Average Loss  0.873587, Time  0.445951
2021-09-28 19:39:33.173469 : Epoch  2, Batch    703, Loss  0.889749, Average Loss  0.873670, Time  0.446475
2021-09-28 19:39:39.120075 : Epoch  2, Batch    704, Loss  0.887448, Average Loss  0.873789, Time  0.446964
2021-09-28 19:39:45.080570 : Epoch  2, Batch    705, Loss  0.870749, Average Loss  0.873809, Time  0.445900
2021-09-28 19:39:51.038926 : Epoch  2, Batch    706, Loss  0.861423, Average Loss  0.873755, Time  0.447467
2021-09-28 19:39:56.993700 : Epoch  2, Batch    707, Loss  0.873948, Average Loss  0.873772, Time  0.458814
2021-09-28 19:40:02.938384 : Epoch  2, Batch    708, Loss  0.874017, Average Loss  0.873748, Time  0.449382
2021-09-28 19:40:08.892297 : Epoch  2, Batch    709, Loss  0.871536, Average Loss  0.873731, Time  0.445474
2021-09-28 19:40:14.842626 : Epoch  2, Batch    710, Loss  0.865234, Average Loss  0.873665, Time  0.449984
2021-09-28 19:40:20.785205 : Epoch  2, Batch    711, Loss  0.861251, Average Loss  0.873598, Time  0.447476
2021-09-28 19:40:26.720330 : Epoch  2, Batch    712, Loss  0.864492, Average Loss  0.873611, Time  0.445583
2021-09-28 19:40:32.677224 : Epoch  2, Batch    713, Loss  0.872516, Average Loss  0.873641, Time  0.447264
2021-09-28 19:40:38.621556 : Epoch  2, Batch    714, Loss  0.869301, Average Loss  0.873629, Time  0.446101
2021-09-28 19:40:44.578834 : Epoch  2, Batch    715, Loss  0.874025, Average Loss  0.873562, Time  0.461165
2021-09-28 19:40:50.530854 : Epoch  2, Batch    716, Loss  0.882998, Average Loss  0.873634, Time  0.445329
2021-09-28 19:40:56.476289 : Epoch  2, Batch    717, Loss  0.876009, Average Loss  0.873613, Time  0.445639
2021-09-28 19:41:02.425789 : Epoch  2, Batch    718, Loss  0.872303, Average Loss  0.873486, Time  0.445194
2021-09-28 19:41:08.367512 : Epoch  2, Batch    719, Loss  0.880340, Average Loss  0.873546, Time  0.444898
2021-09-28 19:41:14.336894 : Epoch  2, Batch    720, Loss  0.871625, Average Loss  0.873549, Time  0.448686
2021-09-28 19:41:20.293106 : Epoch  2, Batch    721, Loss  0.859654, Average Loss  0.873455, Time  0.447594
2021-09-28 19:41:26.250447 : Epoch  2, Batch    722, Loss  0.886378, Average Loss  0.873494, Time  0.458157
2021-09-28 19:41:32.215805 : Epoch  2, Batch    723, Loss  0.868758, Average Loss  0.873429, Time  0.447995
2021-09-28 19:41:38.180555 : Epoch  2, Batch    724, Loss  0.893035, Average Loss  0.873468, Time  0.447362
2021-09-28 19:41:44.134889 : Epoch  2, Batch    725, Loss  0.885032, Average Loss  0.873492, Time  0.448265
2021-09-28 19:41:50.086782 : Epoch  2, Batch    726, Loss  0.881936, Average Loss  0.873518, Time  0.450396
2021-09-28 19:41:56.056613 : Epoch  2, Batch    727, Loss  0.886791, Average Loss  0.873655, Time  0.446960
2021-09-28 19:42:02.011348 : Epoch  2, Batch    728, Loss  0.875800, Average Loss  0.873671, Time  0.447540
2021-09-28 19:42:07.966300 : Epoch  2, Batch    729, Loss  0.875125, Average Loss  0.873638, Time  0.447085
2021-09-28 19:42:13.936122 : Epoch  2, Batch    730, Loss  0.855772, Average Loss  0.873473, Time  0.453424
2021-09-28 19:42:19.898515 : Epoch  2, Batch    731, Loss  0.869761, Average Loss  0.873470, Time  0.447649
2021-09-28 19:42:25.853949 : Epoch  2, Batch    732, Loss  0.873125, Average Loss  0.873404, Time  0.447194
2021-09-28 19:42:31.812910 : Epoch  2, Batch    733, Loss  0.895304, Average Loss  0.873500, Time  0.448438
2021-09-28 19:42:37.769859 : Epoch  2, Batch    734, Loss  0.879254, Average Loss  0.873553, Time  0.449542
2021-09-28 19:42:43.731990 : Epoch  2, Batch    735, Loss  0.869151, Average Loss  0.873574, Time  0.449914
2021-09-28 19:42:49.684654 : Epoch  2, Batch    736, Loss  0.865843, Average Loss  0.873552, Time  0.446130
2021-09-28 19:42:55.626416 : Epoch  2, Batch    737, Loss  0.882401, Average Loss  0.873609, Time  0.445580
2021-09-28 19:43:01.593343 : Epoch  2, Batch    738, Loss  0.876716, Average Loss  0.873619, Time  0.462393
2021-09-28 19:43:07.554505 : Epoch  2, Batch    739, Loss  0.881921, Average Loss  0.873697, Time  0.447206
2021-09-28 19:43:13.524507 : Epoch  2, Batch    740, Loss  0.877386, Average Loss  0.873673, Time  0.446041
2021-09-28 19:43:19.484466 : Epoch  2, Batch    741, Loss  0.883643, Average Loss  0.873761, Time  0.448880
2021-09-28 19:43:25.443702 : Epoch  2, Batch    742, Loss  0.848045, Average Loss  0.873699, Time  0.448360
2021-09-28 19:43:31.406410 : Epoch  2, Batch    743, Loss  0.866573, Average Loss  0.873583, Time  0.447908
2021-09-28 19:43:37.359457 : Epoch  2, Batch    744, Loss  0.876407, Average Loss  0.873635, Time  0.446544
2021-09-28 19:43:43.316308 : Epoch  2, Batch    745, Loss  0.879156, Average Loss  0.873681, Time  0.455526
2021-09-28 19:43:49.273349 : Epoch  2, Batch    746, Loss  0.879459, Average Loss  0.873712, Time  0.445486
2021-09-28 19:43:55.228839 : Epoch  2, Batch    747, Loss  0.869272, Average Loss  0.873719, Time  0.447648
2021-09-28 19:44:01.182781 : Epoch  2, Batch    748, Loss  0.878938, Average Loss  0.873842, Time  0.445964
2021-09-28 19:44:07.130737 : Epoch  2, Batch    749, Loss  0.884907, Average Loss  0.873825, Time  0.445830
2021-09-28 19:44:13.094322 : Epoch  2, Batch    750, Loss  0.857544, Average Loss  0.873703, Time  0.448493
2021-09-28 19:44:19.055505 : Epoch  2, Batch    751, Loss  0.882286, Average Loss  0.873819, Time  0.447931
2021-09-28 19:44:25.005005 : Epoch  2, Batch    752, Loss  0.874818, Average Loss  0.873914, Time  0.446188
2021-09-28 19:44:30.965890 : Epoch  2, Batch    753, Loss  0.893908, Average Loss  0.874000, Time  0.454819
2021-09-28 19:44:36.910209 : Epoch  2, Batch    754, Loss  0.889256, Average Loss  0.874052, Time  0.446690
2021-09-28 19:44:42.861854 : Epoch  2, Batch    755, Loss  0.862136, Average Loss  0.873965, Time  0.445546
2021-09-28 19:44:48.816904 : Epoch  2, Batch    756, Loss  0.873220, Average Loss  0.873996, Time  0.446134
2021-09-28 19:44:54.763115 : Epoch  2, Batch    757, Loss  0.872987, Average Loss  0.873921, Time  0.446500
2021-09-28 19:45:00.709867 : Epoch  2, Batch    758, Loss  0.875764, Average Loss  0.873865, Time  0.445539
2021-09-28 19:45:06.664399 : Epoch  2, Batch    759, Loss  0.889935, Average Loss  0.873903, Time  0.451269
2021-09-28 19:45:12.631009 : Epoch  2, Batch    760, Loss  0.880170, Average Loss  0.873985, Time  0.449866
2021-09-28 19:45:18.597464 : Epoch  2, Batch    761, Loss  0.876810, Average Loss  0.874033, Time  0.457722
2021-09-28 19:45:24.550201 : Epoch  2, Batch    762, Loss  0.874498, Average Loss  0.874060, Time  0.446615
2021-09-28 19:45:30.508155 : Epoch  2, Batch    763, Loss  0.866204, Average Loss  0.874009, Time  0.447222
2021-09-28 19:45:36.470806 : Epoch  2, Batch    764, Loss  0.864322, Average Loss  0.873993, Time  0.446771
2021-09-28 19:45:42.421256 : Epoch  2, Batch    765, Loss  0.868564, Average Loss  0.873962, Time  0.446028
2021-09-28 19:45:48.373971 : Epoch  2, Batch    766, Loss  0.881582, Average Loss  0.873961, Time  0.445654
2021-09-28 19:45:54.323176 : Epoch  2, Batch    767, Loss  0.869066, Average Loss  0.873951, Time  0.446247
2021-09-28 19:46:00.302806 : Epoch  2, Batch    768, Loss  0.862615, Average Loss  0.873854, Time  0.462741
2021-09-28 19:46:06.253530 : Epoch  2, Batch    769, Loss  0.862809, Average Loss  0.873811, Time  0.448411
2021-09-28 19:46:12.193993 : Epoch  2, Batch    770, Loss  0.876077, Average Loss  0.873810, Time  0.445967
2021-09-28 19:46:18.160525 : Epoch  2, Batch    771, Loss  0.860062, Average Loss  0.873718, Time  0.447852
2021-09-28 19:46:24.127994 : Epoch  2, Batch    772, Loss  0.876955, Average Loss  0.873763, Time  0.447790
2021-09-28 19:51:06.521381 : CheckPoint: Validation Loss  0.00015399, Best Loss  0.00015156
2021-09-28 19:51:12.479850 : Epoch  2, Batch    773, Loss  0.889073, Average Loss  0.873831, Time  0.449339
2021-09-28 19:51:18.462445 : Epoch  2, Batch    774, Loss  0.883724, Average Loss  0.873908, Time  0.462406
2021-09-28 19:51:24.434350 : Epoch  2, Batch    775, Loss  0.873800, Average Loss  0.873813, Time  0.450357
2021-09-28 19:51:30.443159 : Epoch  2, Batch    776, Loss  0.876276, Average Loss  0.873822, Time  0.449967
2021-09-28 19:51:36.417384 : Epoch  2, Batch    777, Loss  0.873707, Average Loss  0.873797, Time  0.446019
2021-09-28 19:51:42.409942 : Epoch  2, Batch    778, Loss  0.867215, Average Loss  0.873802, Time  0.455010
2021-09-28 19:51:48.384937 : Epoch  2, Batch    779, Loss  0.879365, Average Loss  0.873897, Time  0.446798
2021-09-28 19:51:54.364783 : Epoch  2, Batch    780, Loss  0.889166, Average Loss  0.873988, Time  0.445508
2021-09-28 19:52:00.345928 : Epoch  2, Batch    781, Loss  0.857251, Average Loss  0.873918, Time  0.451096
2021-09-28 19:52:06.316278 : Epoch  2, Batch    782, Loss  0.869776, Average Loss  0.873842, Time  0.458274
2021-09-28 19:52:12.294827 : Epoch  2, Batch    783, Loss  0.882957, Average Loss  0.873879, Time  0.447836
2021-09-28 19:52:18.268988 : Epoch  2, Batch    784, Loss  0.874619, Average Loss  0.873947, Time  0.447492
2021-09-28 19:52:24.229904 : Epoch  2, Batch    785, Loss  0.874182, Average Loss  0.873978, Time  0.448164
2021-09-28 19:52:30.195793 : Epoch  2, Batch    786, Loss  0.868260, Average Loss  0.873941, Time  0.447353
2021-09-28 19:52:36.177731 : Epoch  2, Batch    787, Loss  0.870417, Average Loss  0.873904, Time  0.446882
2021-09-28 19:52:42.162241 : Epoch  2, Batch    788, Loss  0.881675, Average Loss  0.874017, Time  0.447753
2021-09-28 19:52:48.154218 : Epoch  2, Batch    789, Loss  0.877556, Average Loss  0.874066, Time  0.455691
2021-09-28 19:52:54.120782 : Epoch  2, Batch    790, Loss  0.877417, Average Loss  0.874054, Time  0.445775
2021-09-28 19:53:00.117253 : Epoch  2, Batch    791, Loss  0.868301, Average Loss  0.874028, Time  0.445714
2021-09-28 19:53:06.071609 : Epoch  2, Batch    792, Loss  0.874802, Average Loss  0.873947, Time  0.445122
2021-09-28 19:53:12.049596 : Epoch  2, Batch    793, Loss  0.862881, Average Loss  0.873913, Time  0.447045
2021-09-28 19:53:18.011980 : Epoch  2, Batch    794, Loss  0.885570, Average Loss  0.873911, Time  0.446048
2021-09-28 19:53:23.975766 : Epoch  2, Batch    795, Loss  0.876687, Average Loss  0.873969, Time  0.447379
2021-09-28 19:53:29.942804 : Epoch  2, Batch    796, Loss  0.875488, Average Loss  0.874001, Time  0.447968
2021-09-28 19:53:35.936324 : Epoch  2, Batch    797, Loss  0.868267, Average Loss  0.873966, Time  0.458300
2021-09-28 19:53:41.918052 : Epoch  2, Batch    798, Loss  0.878047, Average Loss  0.874002, Time  0.448921
2021-09-28 19:53:47.876513 : Epoch  2, Batch    799, Loss  0.879133, Average Loss  0.874034, Time  0.447380
2021-09-28 19:53:53.851721 : Epoch  2, Batch    800, Loss  0.884196, Average Loss  0.874053, Time  0.449562
2021-09-28 19:53:59.825932 : Epoch  2, Batch    801, Loss  0.874614, Average Loss  0.874080, Time  0.445432
2021-09-28 19:54:05.795089 : Epoch  2, Batch    802, Loss  0.870219, Average Loss  0.874129, Time  0.446169
2021-09-28 19:54:11.781763 : Epoch  2, Batch    803, Loss  0.860179, Average Loss  0.873960, Time  0.445435
2021-09-28 19:54:17.762290 : Epoch  2, Batch    804, Loss  0.871461, Average Loss  0.873986, Time  0.446987
2021-09-28 19:54:23.735143 : Epoch  2, Batch    805, Loss  0.881282, Average Loss  0.874075, Time  0.456212
2021-09-28 19:54:29.712338 : Epoch  2, Batch    806, Loss  0.856864, Average Loss  0.873986, Time  0.447378
2021-09-28 19:54:35.679803 : Epoch  2, Batch    807, Loss  0.870995, Average Loss  0.873922, Time  0.449712
2021-09-28 19:54:41.681872 : Epoch  2, Batch    808, Loss  0.861782, Average Loss  0.873880, Time  0.447808
2021-09-28 19:54:47.644784 : Epoch  2, Batch    809, Loss  0.871598, Average Loss  0.873811, Time  0.447381
2021-09-28 19:54:53.619591 : Epoch  2, Batch    810, Loss  0.878263, Average Loss  0.873840, Time  0.445657
2021-09-28 19:54:59.589781 : Epoch  2, Batch    811, Loss  0.881051, Average Loss  0.873916, Time  0.447102
2021-09-28 19:55:05.571566 : Epoch  2, Batch    812, Loss  0.858262, Average Loss  0.873780, Time  0.460787
2021-09-28 19:55:11.524546 : Epoch  2, Batch    813, Loss  0.867500, Average Loss  0.873696, Time  0.444985
2021-09-28 19:55:17.506787 : Epoch  2, Batch    814, Loss  0.873680, Average Loss  0.873705, Time  0.446839
2021-09-28 19:55:23.486840 : Epoch  2, Batch    815, Loss  0.894188, Average Loss  0.873871, Time  0.446433
2021-09-28 19:55:29.436505 : Epoch  2, Batch    816, Loss  0.888638, Average Loss  0.873978, Time  0.448215
2021-09-28 19:55:35.398171 : Epoch  2, Batch    817, Loss  0.874096, Average Loss  0.873985, Time  0.448841
2021-09-28 19:55:41.366078 : Epoch  2, Batch    818, Loss  0.879855, Average Loss  0.874033, Time  0.449131
2021-09-28 19:55:47.333529 : Epoch  2, Batch    819, Loss  0.891202, Average Loss  0.874183, Time  0.446301
2021-09-28 19:55:53.320167 : Epoch  2, Batch    820, Loss  0.883166, Average Loss  0.874286, Time  0.454485
2021-09-28 19:55:59.308843 : Epoch  2, Batch    821, Loss  0.877091, Average Loss  0.874342, Time  0.448402
2021-09-28 19:56:05.285971 : Epoch  2, Batch    822, Loss  0.859236, Average Loss  0.874329, Time  0.449725
2021-09-28 19:56:11.263155 : Epoch  2, Batch    823, Loss  0.871101, Average Loss  0.874350, Time  0.445387
2021-09-28 19:56:17.254440 : Epoch  2, Batch    824, Loss  0.868306, Average Loss  0.874218, Time  0.445410
2021-09-28 19:56:23.223155 : Epoch  2, Batch    825, Loss  0.882680, Average Loss  0.874220, Time  0.444972
2021-09-28 19:56:29.193977 : Epoch  2, Batch    826, Loss  0.871885, Average Loss  0.874192, Time  0.447800
2021-09-28 19:56:35.200897 : Epoch  2, Batch    827, Loss  0.870610, Average Loss  0.874140, Time  0.461259
2021-09-28 19:56:41.160122 : Epoch  2, Batch    828, Loss  0.876956, Average Loss  0.874181, Time  0.446198
2021-09-28 19:56:47.138547 : Epoch  2, Batch    829, Loss  0.874155, Average Loss  0.874098, Time  0.446074
2021-09-28 19:56:53.105832 : Epoch  2, Batch    830, Loss  0.876594, Average Loss  0.874014, Time  0.449007
2021-09-28 19:56:59.084653 : Epoch  2, Batch    831, Loss  0.885514, Average Loss  0.874005, Time  0.446302
2021-09-28 19:57:05.070530 : Epoch  2, Batch    832, Loss  0.873829, Average Loss  0.874008, Time  0.446831
2021-09-28 19:57:11.020690 : Epoch  2, Batch    833, Loss  0.856127, Average Loss  0.873899, Time  0.446356
2021-09-28 19:57:16.996002 : Epoch  2, Batch    834, Loss  0.867381, Average Loss  0.873861, Time  0.446553
2021-09-28 19:57:22.970173 : Epoch  2, Batch    835, Loss  0.874716, Average Loss  0.873776, Time  0.459787
2021-09-28 19:57:28.938353 : Epoch  2, Batch    836, Loss  0.878125, Average Loss  0.873755, Time  0.445340
2021-09-28 19:57:34.927862 : Epoch  2, Batch    837, Loss  0.878510, Average Loss  0.873771, Time  0.448013
2021-09-28 19:57:40.907487 : Epoch  2, Batch    838, Loss  0.875233, Average Loss  0.873728, Time  0.448958
2021-09-28 19:57:46.866527 : Epoch  2, Batch    839, Loss  0.879968, Average Loss  0.873819, Time  0.446201
2021-09-28 19:57:52.829915 : Epoch  2, Batch    840, Loss  0.876034, Average Loss  0.873786, Time  0.446290
2021-09-28 19:57:58.821364 : Epoch  2, Batch    841, Loss  0.874091, Average Loss  0.873826, Time  0.447145
2021-09-28 19:58:04.792547 : Epoch  2, Batch    842, Loss  0.884483, Average Loss  0.873930, Time  0.446654
2021-09-28 19:58:10.792618 : Epoch  2, Batch    843, Loss  0.870478, Average Loss  0.873869, Time  0.458847
2021-09-28 19:58:16.762831 : Epoch  2, Batch    844, Loss  0.891198, Average Loss  0.874026, Time  0.450516
2021-09-28 19:58:22.404244 : Epoch  2, Batch    845, Loss  0.863907, Average Loss  0.873979, Time  0.446489
2021-09-28 19:58:27.953065 : Epoch  2, Batch    846, Loss  0.889662, Average Loss  0.873972, Time  0.447154
2021-09-28 19:58:33.599425 : Epoch  2, Batch    847, Loss  0.874605, Average Loss  0.873985, Time  0.444163
2021-09-28 19:58:39.071353 : Epoch  2, Batch    848, Loss  0.868268, Average Loss  0.873911, Time  0.443618
2021-09-28 19:58:44.717800 : Epoch  2, Batch    849, Loss  0.884520, Average Loss  0.873983, Time  0.441944
2021-09-28 19:58:50.134335 : Epoch  2, Batch    850, Loss  0.864700, Average Loss  0.873870, Time  0.444671
2021-09-28 19:58:55.808972 : Epoch  2, Batch    851, Loss  0.867450, Average Loss  0.873822, Time  0.456079
2021-09-28 19:59:01.419151 : Epoch  2, Batch    852, Loss  0.880607, Average Loss  0.873827, Time  0.444493
2021-09-28 19:59:07.054949 : Epoch  2, Batch    853, Loss  0.869378, Average Loss  0.873858, Time  0.443603
2021-09-28 19:59:12.774072 : Epoch  2, Batch    854, Loss  0.871588, Average Loss  0.873868, Time  0.445177
2021-09-28 19:59:18.344706 : Epoch  2, Batch    855, Loss  0.870386, Average Loss  0.873890, Time  0.442103
2021-09-28 19:59:23.791003 : Epoch  2, Batch    856, Loss  0.871625, Average Loss  0.873923, Time  0.445027
2021-09-28 19:59:29.465591 : Epoch  2, Batch    857, Loss  0.862305, Average Loss  0.873794, Time  0.446182
2021-09-28 19:59:35.218436 : Epoch  2, Batch    858, Loss  0.862469, Average Loss  0.873673, Time  0.446287
2021-09-28 19:59:40.703073 : Epoch  2, Batch    859, Loss  0.861501, Average Loss  0.873655, Time  0.456526
2021-09-28 19:59:46.044960 : Epoch  2, Batch    860, Loss  0.886112, Average Loss  0.873703, Time  0.441783
2021-09-28 19:59:51.403160 : Epoch  2, Batch    861, Loss  0.886513, Average Loss  0.873658, Time  0.441599
2021-09-28 19:59:56.695296 : Epoch  2, Batch    862, Loss  0.881609, Average Loss  0.873717, Time  0.441937
2021-09-28 20:00:02.015621 : Epoch  2, Batch    863, Loss  0.863862, Average Loss  0.873654, Time  0.442470
2021-09-28 20:00:07.368555 : Epoch  2, Batch    864, Loss  0.877186, Average Loss  0.873682, Time  0.441324
2021-09-28 20:00:12.698206 : Epoch  2, Batch    865, Loss  0.869636, Average Loss  0.873733, Time  0.441464
2021-09-28 20:00:18.032679 : Epoch  2, Batch    866, Loss  0.868012, Average Loss  0.873629, Time  0.441553
2021-09-28 20:00:23.359353 : Epoch  2, Batch    867, Loss  0.873985, Average Loss  0.873710, Time  0.441943
2021-09-28 20:00:28.745886 : Epoch  2, Batch    868, Loss  0.870290, Average Loss  0.873629, Time  0.452453
2021-09-28 20:00:34.111087 : Epoch  2, Batch    869, Loss  0.862065, Average Loss  0.873618, Time  0.442712
2021-09-28 20:00:39.488676 : Epoch  2, Batch    870, Loss  0.869121, Average Loss  0.873585, Time  0.442507
2021-09-28 20:00:44.857560 : Epoch  2, Batch    871, Loss  0.880868, Average Loss  0.873625, Time  0.443781
2021-09-28 20:00:50.147799 : Epoch  2, Batch    872, Loss  0.873367, Average Loss  0.873685, Time  0.441458
2021-09-28 20:05:11.305432 : CheckPoint: Validation Loss  0.00015538, Best Loss  0.00015156
2021-09-28 20:05:17.019806 : Epoch  2, Batch    873, Loss  0.879979, Average Loss  0.873666, Time  0.448202
2021-09-28 20:05:22.776134 : Epoch  2, Batch    874, Loss  0.880443, Average Loss  0.873677, Time  0.445399
2021-09-28 20:05:28.518849 : Epoch  2, Batch    875, Loss  0.879488, Average Loss  0.873709, Time  0.444627
2021-09-28 20:05:34.087385 : Epoch  2, Batch    876, Loss  0.886777, Average Loss  0.873893, Time  0.441053
2021-09-28 20:05:39.560840 : Epoch  2, Batch    877, Loss  0.878634, Average Loss  0.873891, Time  0.445235
2021-09-28 20:05:45.256570 : Epoch  2, Batch    878, Loss  0.879135, Average Loss  0.873915, Time  0.444854
2021-09-28 20:05:50.975410 : Epoch  2, Batch    879, Loss  0.890248, Average Loss  0.873903, Time  0.457395
2021-09-28 20:05:56.548743 : Epoch  2, Batch    880, Loss  0.879176, Average Loss  0.874002, Time  0.442365
2021-09-28 20:06:02.148706 : Epoch  2, Batch    881, Loss  0.860794, Average Loss  0.873974, Time  0.443805
2021-09-28 20:06:07.941132 : Epoch  2, Batch    882, Loss  0.865166, Average Loss  0.873991, Time  0.445448
2021-09-28 20:06:13.624324 : Epoch  2, Batch    883, Loss  0.868599, Average Loss  0.873922, Time  0.443377
2021-09-28 20:06:19.345928 : Epoch  2, Batch    884, Loss  0.869469, Average Loss  0.873972, Time  0.448215
2021-09-28 20:06:24.899576 : Epoch  2, Batch    885, Loss  0.873310, Average Loss  0.873954, Time  0.442249
2021-09-28 20:06:30.487130 : Epoch  2, Batch    886, Loss  0.875759, Average Loss  0.874040, Time  0.445273
2021-09-28 20:06:36.002996 : Epoch  2, Batch    887, Loss  0.880870, Average Loss  0.874021, Time  0.444447
2021-09-28 20:06:41.612164 : Epoch  2, Batch    888, Loss  0.872835, Average Loss  0.874054, Time  0.459396
2021-09-28 20:06:47.354598 : Epoch  2, Batch    889, Loss  0.875009, Average Loss  0.874086, Time  0.445293
2021-09-28 20:06:52.930787 : Epoch  2, Batch    890, Loss  0.870692, Average Loss  0.874036, Time  0.445819
2021-09-28 20:06:58.375960 : Epoch  2, Batch    891, Loss  0.867867, Average Loss  0.874011, Time  0.442797
2021-09-28 20:07:03.740613 : Epoch  2, Batch    892, Loss  0.862477, Average Loss  0.873973, Time  0.443817
2021-09-28 20:07:09.377018 : Epoch  2, Batch    893, Loss  0.888296, Average Loss  0.874188, Time  0.443562
2021-09-28 20:07:14.919403 : Epoch  2, Batch    894, Loss  0.863496, Average Loss  0.874156, Time  0.450436
2021-09-28 20:07:20.651183 : Epoch  2, Batch    895, Loss  0.885128, Average Loss  0.874153, Time  0.445272
2021-09-28 20:07:26.128970 : Epoch  2, Batch    896, Loss  0.888503, Average Loss  0.874213, Time  0.443161
2021-09-28 20:07:31.633553 : Epoch  2, Batch    897, Loss  0.876075, Average Loss  0.874256, Time  0.456873
2021-09-28 20:07:37.100344 : Epoch  2, Batch    898, Loss  0.878705, Average Loss  0.874354, Time  0.443521
2021-09-28 20:07:42.648854 : Epoch  2, Batch    899, Loss  0.869674, Average Loss  0.874352, Time  0.444816
2021-09-28 20:07:48.291168 : Epoch  2, Batch    900, Loss  0.862971, Average Loss  0.874366, Time  0.443056
2021-09-28 20:07:53.875972 : Epoch  2, Batch    901, Loss  0.872171, Average Loss  0.874424, Time  0.444954
2021-09-28 20:07:59.456205 : Epoch  2, Batch    902, Loss  0.862740, Average Loss  0.874446, Time  0.443040
2021-09-28 20:08:04.904142 : Epoch  2, Batch    903, Loss  0.871048, Average Loss  0.874352, Time  0.442437
2021-09-28 20:08:10.433242 : Epoch  2, Batch    904, Loss  0.880841, Average Loss  0.874319, Time  0.443188
2021-09-28 20:08:16.142042 : Epoch  2, Batch    905, Loss  0.866684, Average Loss  0.874299, Time  0.445531
2021-09-28 20:08:21.802875 : Epoch  2, Batch    906, Loss  0.881597, Average Loss  0.874400, Time  0.457805
2021-09-28 20:08:27.566002 : Epoch  2, Batch    907, Loss  0.862461, Average Loss  0.874342, Time  0.446105
2021-09-28 20:08:33.224214 : Epoch  2, Batch    908, Loss  0.883924, Average Loss  0.874392, Time  0.445563
2021-09-28 20:08:38.701560 : Epoch  2, Batch    909, Loss  0.865510, Average Loss  0.874362, Time  0.445987
2021-09-28 20:08:44.341801 : Epoch  2, Batch    910, Loss  0.869194, Average Loss  0.874382, Time  0.443637
2021-09-28 20:08:49.864133 : Epoch  2, Batch    911, Loss  0.874008, Average Loss  0.874445, Time  0.443560
2021-09-28 20:08:55.499561 : Epoch  2, Batch    912, Loss  0.874915, Average Loss  0.874498, Time  0.441555
2021-09-28 20:09:01.071047 : Epoch  2, Batch    913, Loss  0.871991, Average Loss  0.874495, Time  0.443900
2021-09-28 20:09:06.586983 : Epoch  2, Batch    914, Loss  0.886147, Average Loss  0.874579, Time  0.457167
2021-09-28 20:09:12.331172 : Epoch  2, Batch    915, Loss  0.871111, Average Loss  0.874565, Time  0.445478
2021-09-28 20:09:18.060148 : Epoch  2, Batch    916, Loss  0.885339, Average Loss  0.874576, Time  0.446293
2021-09-28 20:09:23.623132 : Epoch  2, Batch    917, Loss  0.864821, Average Loss  0.874520, Time  0.444369
2021-09-28 20:09:29.301887 : Epoch  2, Batch    918, Loss  0.872218, Average Loss  0.874520, Time  0.445720
2021-09-28 20:09:34.922833 : Epoch  2, Batch    919, Loss  0.870862, Average Loss  0.874473, Time  0.442333
2021-09-28 20:09:40.636808 : Epoch  2, Batch    920, Loss  0.866248, Average Loss  0.874446, Time  0.444811
2021-09-28 20:09:46.339480 : Epoch  2, Batch    921, Loss  0.874730, Average Loss  0.874521, Time  0.444602
2021-09-28 20:09:52.087973 : Epoch  2, Batch    922, Loss  0.886212, Average Loss  0.874520, Time  0.453894
2021-09-28 20:09:57.706956 : Epoch  2, Batch    923, Loss  0.857048, Average Loss  0.874462, Time  0.442919
2021-09-28 20:10:03.236900 : Epoch  2, Batch    924, Loss  0.871724, Average Loss  0.874355, Time  0.445427
2021-09-28 20:10:08.982974 : Epoch  2, Batch    925, Loss  0.873195, Average Loss  0.874296, Time  0.443322
2021-09-28 20:10:14.620965 : Epoch  2, Batch    926, Loss  0.874189, Average Loss  0.874257, Time  0.445197
2021-09-28 20:10:20.208964 : Epoch  2, Batch    927, Loss  0.883224, Average Loss  0.874239, Time  0.443684
2021-09-28 20:10:25.888581 : Epoch  2, Batch    928, Loss  0.888133, Average Loss  0.874301, Time  0.445990
2021-09-28 20:10:25.924945 : Saving Model after 2-th Epoch.
2021-09-28 20:10:26.650474 : Epoch Finished.
2021-09-28 20:10:34.711551 : Batch Shuffled
2021-09-28 20:10:40.461951 : Epoch  3, Batch      1, Loss  0.868146, Average Loss  0.874266, Time  0.461525
2021-09-28 20:10:46.256223 : Epoch  3, Batch      2, Loss  0.866646, Average Loss  0.874321, Time  0.445738
2021-09-28 20:10:52.010308 : Epoch  3, Batch      3, Loss  0.890089, Average Loss  0.874422, Time  0.445160
2021-09-28 20:10:57.745074 : Epoch  3, Batch      4, Loss  0.860517, Average Loss  0.874359, Time  0.442862
2021-09-28 20:11:03.378756 : Epoch  3, Batch      5, Loss  0.874733, Average Loss  0.874256, Time  0.444439
2021-09-28 20:11:09.108788 : Epoch  3, Batch      6, Loss  0.875033, Average Loss  0.874235, Time  0.445409
2021-09-28 20:11:14.818235 : Epoch  3, Batch      7, Loss  0.871497, Average Loss  0.874247, Time  0.444733
2021-09-28 20:11:20.408828 : Epoch  3, Batch      8, Loss  0.874051, Average Loss  0.874288, Time  0.445343
2021-09-28 20:11:26.220604 : Epoch  3, Batch      9, Loss  0.878425, Average Loss  0.874268, Time  0.454965
2021-09-28 20:11:31.978701 : Epoch  3, Batch     10, Loss  0.870322, Average Loss  0.874236, Time  0.445305
2021-09-28 20:11:37.548560 : Epoch  3, Batch     11, Loss  0.871019, Average Loss  0.874182, Time  0.445785
2021-09-28 20:11:43.205446 : Epoch  3, Batch     12, Loss  0.866170, Average Loss  0.874126, Time  0.443153
2021-09-28 20:11:48.795636 : Epoch  3, Batch     13, Loss  0.875537, Average Loss  0.874085, Time  0.442955
2021-09-28 20:11:54.300625 : Epoch  3, Batch     14, Loss  0.884522, Average Loss  0.874267, Time  0.442727
2021-09-28 20:11:59.914366 : Epoch  3, Batch     15, Loss  0.877661, Average Loss  0.874323, Time  0.445053
2021-09-28 20:12:05.600800 : Epoch  3, Batch     16, Loss  0.853583, Average Loss  0.874209, Time  0.444037
2021-09-28 20:12:11.372746 : Epoch  3, Batch     17, Loss  0.858656, Average Loss  0.874106, Time  0.463196
2021-09-28 20:12:17.143833 : Epoch  3, Batch     18, Loss  0.880240, Average Loss  0.874110, Time  0.446519
2021-09-28 20:12:22.924400 : Epoch  3, Batch     19, Loss  0.869602, Average Loss  0.874112, Time  0.446094
2021-09-28 20:12:28.490537 : Epoch  3, Batch     20, Loss  0.873472, Average Loss  0.874084, Time  0.444714
2021-09-28 20:12:34.131195 : Epoch  3, Batch     21, Loss  0.859217, Average Loss  0.873956, Time  0.443026
2021-09-28 20:12:39.702387 : Epoch  3, Batch     22, Loss  0.884046, Average Loss  0.874088, Time  0.444233
2021-09-28 20:12:45.246803 : Epoch  3, Batch     23, Loss  0.873144, Average Loss  0.874043, Time  0.446201
2021-09-28 20:12:51.017520 : Epoch  3, Batch     24, Loss  0.869213, Average Loss  0.874015, Time  0.442840
2021-09-28 20:12:56.635458 : Epoch  3, Batch     25, Loss  0.877083, Average Loss  0.873931, Time  0.454797
2021-09-28 20:13:02.258370 : Epoch  3, Batch     26, Loss  0.884955, Average Loss  0.873909, Time  0.441745
2021-09-28 20:13:07.955637 : Epoch  3, Batch     27, Loss  0.873116, Average Loss  0.873964, Time  0.443254
2021-09-28 20:13:13.408291 : Epoch  3, Batch     28, Loss  0.864917, Average Loss  0.873922, Time  0.445708
2021-09-28 20:13:19.111566 : Epoch  3, Batch     29, Loss  0.878438, Average Loss  0.873950, Time  0.445303
2021-09-28 20:13:24.876276 : Epoch  3, Batch     30, Loss  0.872792, Average Loss  0.873935, Time  0.444144
2021-09-28 20:13:30.564877 : Epoch  3, Batch     31, Loss  0.873003, Average Loss  0.873850, Time  0.444299
2021-09-28 20:13:36.169711 : Epoch  3, Batch     32, Loss  0.873378, Average Loss  0.873816, Time  0.444552
2021-09-28 20:13:41.773728 : Epoch  3, Batch     33, Loss  0.872884, Average Loss  0.873797, Time  0.458869
2021-09-28 20:13:47.379576 : Epoch  3, Batch     34, Loss  0.854005, Average Loss  0.873694, Time  0.444112
2021-09-28 20:13:53.098726 : Epoch  3, Batch     35, Loss  0.884631, Average Loss  0.873786, Time  0.442112
2021-09-28 20:13:58.842572 : Epoch  3, Batch     36, Loss  0.879953, Average Loss  0.873864, Time  0.448532
2021-09-28 20:14:04.392355 : Epoch  3, Batch     37, Loss  0.876215, Average Loss  0.873903, Time  0.441701
2021-09-28 20:14:09.975488 : Epoch  3, Batch     38, Loss  0.897997, Average Loss  0.873985, Time  0.446514
2021-09-28 20:14:15.641084 : Epoch  3, Batch     39, Loss  0.865736, Average Loss  0.873968, Time  0.443192
2021-09-28 20:14:21.103652 : Epoch  3, Batch     40, Loss  0.876386, Average Loss  0.874037, Time  0.441894
2021-09-28 20:14:26.559976 : Epoch  3, Batch     41, Loss  0.858819, Average Loss  0.874017, Time  0.460504
2021-09-28 20:14:32.210677 : Epoch  3, Batch     42, Loss  0.891704, Average Loss  0.874095, Time  0.445375
2021-09-28 20:14:37.708156 : Epoch  3, Batch     43, Loss  0.869163, Average Loss  0.874141, Time  0.443959
2021-09-28 20:14:43.113113 : Epoch  3, Batch     44, Loss  0.874921, Average Loss  0.874131, Time  0.441255
2021-09-28 20:19:09.870784 : CheckPoint: Validation Loss  0.00015286, Best Loss  0.00015156
2021-09-28 20:19:15.391982 : Epoch  3, Batch     45, Loss  0.865232, Average Loss  0.874011, Time  0.446880
2021-09-28 20:19:21.147165 : Epoch  3, Batch     46, Loss  0.876089, Average Loss  0.873973, Time  0.446305
2021-09-28 20:19:26.701495 : Epoch  3, Batch     47, Loss  0.881859, Average Loss  0.874013, Time  0.442717
2021-09-28 20:19:32.260614 : Epoch  3, Batch     48, Loss  0.874516, Average Loss  0.874005, Time  0.443480
2021-09-28 20:19:37.940422 : Epoch  3, Batch     49, Loss  0.873503, Average Loss  0.874004, Time  0.445944
2021-09-28 20:19:43.453408 : Epoch  3, Batch     50, Loss  0.858420, Average Loss  0.873960, Time  0.444152
2021-09-28 20:19:49.041347 : Epoch  3, Batch     51, Loss  0.874748, Average Loss  0.873937, Time  0.442333
2021-09-28 20:19:54.584952 : Epoch  3, Batch     52, Loss  0.878227, Average Loss  0.873882, Time  0.451889
2021-09-28 20:20:00.114489 : Epoch  3, Batch     53, Loss  0.886074, Average Loss  0.874026, Time  0.442821
2021-09-28 20:20:05.809338 : Epoch  3, Batch     54, Loss  0.852992, Average Loss  0.873942, Time  0.443232
2021-09-28 20:20:11.393115 : Epoch  3, Batch     55, Loss  0.868643, Average Loss  0.873870, Time  0.443662
2021-09-28 20:20:17.029613 : Epoch  3, Batch     56, Loss  0.877044, Average Loss  0.873883, Time  0.443397
2021-09-28 20:20:22.483113 : Epoch  3, Batch     57, Loss  0.877173, Average Loss  0.873898, Time  0.442182
2021-09-28 20:20:28.095346 : Epoch  3, Batch     58, Loss  0.885344, Average Loss  0.873983, Time  0.444013
2021-09-28 20:20:33.690165 : Epoch  3, Batch     59, Loss  0.871030, Average Loss  0.873986, Time  0.444257
2021-09-28 20:20:39.305081 : Epoch  3, Batch     60, Loss  0.884601, Average Loss  0.874001, Time  0.443422
2021-09-28 20:20:44.751513 : Epoch  3, Batch     61, Loss  0.873817, Average Loss  0.873982, Time  0.461019
2021-09-28 20:20:50.202858 : Epoch  3, Batch     62, Loss  0.862445, Average Loss  0.873907, Time  0.444885
2021-09-28 20:20:55.914893 : Epoch  3, Batch     63, Loss  0.870921, Average Loss  0.873920, Time  0.445668
2021-09-28 20:21:01.745061 : Epoch  3, Batch     64, Loss  0.857242, Average Loss  0.873832, Time  0.444887
2021-09-28 20:21:07.377898 : Epoch  3, Batch     65, Loss  0.856144, Average Loss  0.873799, Time  0.442445
2021-09-28 20:21:13.021701 : Epoch  3, Batch     66, Loss  0.887240, Average Loss  0.873807, Time  0.444064
2021-09-28 20:21:18.524240 : Epoch  3, Batch     67, Loss  0.878813, Average Loss  0.873818, Time  0.445544
2021-09-28 20:21:24.240152 : Epoch  3, Batch     68, Loss  0.879607, Average Loss  0.873838, Time  0.444544
2021-09-28 20:21:29.950458 : Epoch  3, Batch     69, Loss  0.878536, Average Loss  0.873890, Time  0.456748
2021-09-28 20:21:35.598535 : Epoch  3, Batch     70, Loss  0.872428, Average Loss  0.873862, Time  0.444255
2021-09-28 20:21:41.276833 : Epoch  3, Batch     71, Loss  0.872568, Average Loss  0.873829, Time  0.445688
2021-09-28 20:21:46.941735 : Epoch  3, Batch     72, Loss  0.878299, Average Loss  0.873799, Time  0.444414
2021-09-28 20:21:52.667053 : Epoch  3, Batch     73, Loss  0.877535, Average Loss  0.873814, Time  0.446654
2021-09-28 20:21:58.415009 : Epoch  3, Batch     74, Loss  0.859529, Average Loss  0.873760, Time  0.445986
2021-09-28 20:22:04.072006 : Epoch  3, Batch     75, Loss  0.865692, Average Loss  0.873788, Time  0.446805
2021-09-28 20:22:09.830092 : Epoch  3, Batch     76, Loss  0.869824, Average Loss  0.873780, Time  0.443999
2021-09-28 20:22:15.575579 : Epoch  3, Batch     77, Loss  0.870873, Average Loss  0.873728, Time  0.456914
2021-09-28 20:22:21.177773 : Epoch  3, Batch     78, Loss  0.866998, Average Loss  0.873778, Time  0.446502
2021-09-28 20:22:26.731319 : Epoch  3, Batch     79, Loss  0.875816, Average Loss  0.873803, Time  0.443795
2021-09-28 20:22:32.197341 : Epoch  3, Batch     80, Loss  0.885791, Average Loss  0.873923, Time  0.444148
2021-09-28 20:22:37.845062 : Epoch  3, Batch     81, Loss  0.868998, Average Loss  0.873910, Time  0.445965
2021-09-28 20:22:43.600741 : Epoch  3, Batch     82, Loss  0.882245, Average Loss  0.873929, Time  0.444790
2021-09-28 20:22:49.329071 : Epoch  3, Batch     83, Loss  0.868299, Average Loss  0.873866, Time  0.443372
2021-09-28 20:22:54.977272 : Epoch  3, Batch     84, Loss  0.861793, Average Loss  0.873883, Time  0.443065
2021-09-28 20:23:00.557704 : Epoch  3, Batch     85, Loss  0.878074, Average Loss  0.873936, Time  0.453798
2021-09-28 20:23:06.245176 : Epoch  3, Batch     86, Loss  0.882781, Average Loss  0.873982, Time  0.444217
2021-09-28 20:23:11.849239 : Epoch  3, Batch     87, Loss  0.870219, Average Loss  0.873862, Time  0.443288
2021-09-28 20:23:17.511831 : Epoch  3, Batch     88, Loss  0.872122, Average Loss  0.873779, Time  0.447622
2021-09-28 20:23:23.227872 : Epoch  3, Batch     89, Loss  0.879256, Average Loss  0.873805, Time  0.442359
2021-09-28 20:23:28.720519 : Epoch  3, Batch     90, Loss  0.874645, Average Loss  0.873779, Time  0.445958
2021-09-28 20:23:34.632514 : Epoch  3, Batch     91, Loss  0.873819, Average Loss  0.873692, Time  0.444055
2021-09-28 20:23:40.543837 : Epoch  3, Batch     92, Loss  0.868004, Average Loss  0.873616, Time  0.445450
2021-09-28 20:23:46.484321 : Epoch  3, Batch     93, Loss  0.874815, Average Loss  0.873605, Time  0.457027
2021-09-28 20:23:52.405181 : Epoch  3, Batch     94, Loss  0.886453, Average Loss  0.873741, Time  0.446011
2021-09-28 20:23:58.339201 : Epoch  3, Batch     95, Loss  0.875534, Average Loss  0.873763, Time  0.446010
2021-09-28 20:24:04.259036 : Epoch  3, Batch     96, Loss  0.875738, Average Loss  0.873800, Time  0.444636
2021-09-28 20:24:10.188033 : Epoch  3, Batch     97, Loss  0.873550, Average Loss  0.873755, Time  0.444886
2021-09-28 20:24:16.105209 : Epoch  3, Batch     98, Loss  0.870642, Average Loss  0.873749, Time  0.445111
2021-09-28 20:24:22.035252 : Epoch  3, Batch     99, Loss  0.873560, Average Loss  0.873763, Time  0.444259
2021-09-28 20:24:27.977719 : Epoch  3, Batch    100, Loss  0.869852, Average Loss  0.873728, Time  0.444526
2021-09-28 20:24:33.621832 : Epoch  3, Batch    101, Loss  0.877286, Average Loss  0.873743, Time  0.451877
2021-09-28 20:24:38.920004 : Epoch  3, Batch    102, Loss  0.874714, Average Loss  0.873734, Time  0.441138
2021-09-28 20:24:44.232158 : Epoch  3, Batch    103, Loss  0.884672, Average Loss  0.873730, Time  0.440562
2021-09-28 20:24:49.503374 : Epoch  3, Batch    104, Loss  0.872339, Average Loss  0.873722, Time  0.440049
2021-09-28 20:24:54.835851 : Epoch  3, Batch    105, Loss  0.861553, Average Loss  0.873749, Time  0.441018
2021-09-28 20:25:00.227052 : Epoch  3, Batch    106, Loss  0.854722, Average Loss  0.873686, Time  0.442843
2021-09-28 20:25:05.551133 : Epoch  3, Batch    107, Loss  0.852113, Average Loss  0.873573, Time  0.440509
2021-09-28 20:25:10.843720 : Epoch  3, Batch    108, Loss  0.862509, Average Loss  0.873495, Time  0.440954
2021-09-28 20:25:16.210048 : Epoch  3, Batch    109, Loss  0.878656, Average Loss  0.873496, Time  0.444523
2021-09-28 20:25:21.700812 : Epoch  3, Batch    110, Loss  0.878674, Average Loss  0.873513, Time  0.456606
2021-09-28 20:25:27.189340 : Epoch  3, Batch    111, Loss  0.875407, Average Loss  0.873490, Time  0.441308
2021-09-28 20:25:32.523415 : Epoch  3, Batch    112, Loss  0.874117, Average Loss  0.873481, Time  0.440616
2021-09-28 20:25:37.841393 : Epoch  3, Batch    113, Loss  0.863349, Average Loss  0.873427, Time  0.440835
2021-09-28 20:25:43.138168 : Epoch  3, Batch    114, Loss  0.873553, Average Loss  0.873372, Time  0.440843
2021-09-28 20:25:48.532371 : Epoch  3, Batch    115, Loss  0.889618, Average Loss  0.873468, Time  0.443437
2021-09-28 20:25:53.852665 : Epoch  3, Batch    116, Loss  0.853834, Average Loss  0.873281, Time  0.442455
2021-09-28 20:25:59.165203 : Epoch  3, Batch    117, Loss  0.862522, Average Loss  0.873274, Time  0.444914
2021-09-28 20:26:04.473082 : Epoch  3, Batch    118, Loss  0.881987, Average Loss  0.873236, Time  0.445089
2021-09-28 20:26:09.904672 : Epoch  3, Batch    119, Loss  0.878062, Average Loss  0.873253, Time  0.454414
2021-09-28 20:26:15.467827 : Epoch  3, Batch    120, Loss  0.874419, Average Loss  0.873284, Time  0.442856
2021-09-28 20:26:20.879486 : Epoch  3, Batch    121, Loss  0.865614, Average Loss  0.873189, Time  0.445504
2021-09-28 20:26:26.464333 : Epoch  3, Batch    122, Loss  0.875359, Average Loss  0.873243, Time  0.445475
2021-09-28 20:26:31.879338 : Epoch  3, Batch    123, Loss  0.855337, Average Loss  0.873182, Time  0.444161
2021-09-28 20:26:37.347917 : Epoch  3, Batch    124, Loss  0.870615, Average Loss  0.873132, Time  0.440301
2021-09-28 20:26:42.934849 : Epoch  3, Batch    125, Loss  0.877771, Average Loss  0.873174, Time  0.443321
2021-09-28 20:26:48.800701 : Epoch  3, Batch    126, Loss  0.874015, Average Loss  0.873186, Time  0.447954
2021-09-28 20:26:54.755501 : Epoch  3, Batch    127, Loss  0.892432, Average Loss  0.873296, Time  0.464140
2021-09-28 20:27:00.694117 : Epoch  3, Batch    128, Loss  0.876047, Average Loss  0.873319, Time  0.446477
2021-09-28 20:27:06.633058 : Epoch  3, Batch    129, Loss  0.874330, Average Loss  0.873379, Time  0.444395
2021-09-28 20:27:12.571824 : Epoch  3, Batch    130, Loss  0.880040, Average Loss  0.873467, Time  0.445266
2021-09-28 20:27:18.498273 : Epoch  3, Batch    131, Loss  0.867796, Average Loss  0.873498, Time  0.445800
2021-09-28 20:27:24.452212 : Epoch  3, Batch    132, Loss  0.892630, Average Loss  0.873531, Time  0.448212
2021-09-28 20:27:30.384695 : Epoch  3, Batch    133, Loss  0.866887, Average Loss  0.873432, Time  0.448381
2021-09-28 20:27:36.326320 : Epoch  3, Batch    134, Loss  0.893668, Average Loss  0.873493, Time  0.445568
2021-09-28 20:27:42.259732 : Epoch  3, Batch    135, Loss  0.864243, Average Loss  0.873495, Time  0.459910
2021-09-28 20:27:48.195685 : Epoch  3, Batch    136, Loss  0.882763, Average Loss  0.873523, Time  0.444252
2021-09-28 20:27:54.122768 : Epoch  3, Batch    137, Loss  0.878338, Average Loss  0.873566, Time  0.446631
2021-09-28 20:28:00.052594 : Epoch  3, Batch    138, Loss  0.855660, Average Loss  0.873504, Time  0.445354
2021-09-28 20:28:05.988729 : Epoch  3, Batch    139, Loss  0.862369, Average Loss  0.873446, Time  0.445934
2021-09-28 20:28:11.920784 : Epoch  3, Batch    140, Loss  0.869350, Average Loss  0.873442, Time  0.445448
2021-09-28 20:28:17.859954 : Epoch  3, Batch    141, Loss  0.863079, Average Loss  0.873447, Time  0.445798
2021-09-28 20:28:23.793758 : Epoch  3, Batch    142, Loss  0.868210, Average Loss  0.873442, Time  0.446563
2021-09-28 20:28:29.738927 : Epoch  3, Batch    143, Loss  0.877766, Average Loss  0.873427, Time  0.459178
2021-09-28 20:28:43.406120 : Epoch  3, Batch    144, Loss  0.868319, Average Loss  0.873401, Time  0.445558
2021-09-28 20:33:22.617807 : CheckPoint: Validation Loss  0.00015047, Best Loss  0.00015047
2021-09-28 20:33:22.664630 : Best Model Updated
2021-09-28 20:33:29.269787 : Epoch  3, Batch    145, Loss  0.861217, Average Loss  0.873307, Time  0.447299
2021-09-28 20:33:35.222389 : Epoch  3, Batch    146, Loss  0.867265, Average Loss  0.873242, Time  0.447954
2021-09-28 20:33:41.178908 : Epoch  3, Batch    147, Loss  0.869301, Average Loss  0.873191, Time  0.445255
2021-09-28 20:33:47.154722 : Epoch  3, Batch    148, Loss  0.888944, Average Loss  0.873201, Time  0.456066
2021-09-28 20:33:53.111348 : Epoch  3, Batch    149, Loss  0.873501, Average Loss  0.873176, Time  0.444086
2021-09-28 20:33:59.050199 : Epoch  3, Batch    150, Loss  0.874015, Average Loss  0.873150, Time  0.445370
2021-09-28 20:34:05.000804 : Epoch  3, Batch    151, Loss  0.873700, Average Loss  0.873067, Time  0.447759
2021-09-28 20:34:10.960798 : Epoch  3, Batch    152, Loss  0.879113, Average Loss  0.873067, Time  0.448289
2021-09-28 20:34:16.903162 : Epoch  3, Batch    153, Loss  0.864917, Average Loss  0.873088, Time  0.447356
2021-09-28 20:34:22.846785 : Epoch  3, Batch    154, Loss  0.861615, Average Loss  0.873070, Time  0.445758
2021-09-28 20:34:28.805486 : Epoch  3, Batch    155, Loss  0.881491, Average Loss  0.873134, Time  0.444887
2021-09-28 20:34:34.757923 : Epoch  3, Batch    156, Loss  0.860277, Average Loss  0.873089, Time  0.456855
2021-09-28 20:34:40.712195 : Epoch  3, Batch    157, Loss  0.872089, Average Loss  0.873082, Time  0.445121
2021-09-28 20:34:46.656441 : Epoch  3, Batch    158, Loss  0.875421, Average Loss  0.873081, Time  0.444017
2021-09-28 20:34:52.613253 : Epoch  3, Batch    159, Loss  0.871175, Average Loss  0.873032, Time  0.449034
2021-09-28 20:34:58.596818 : Epoch  3, Batch    160, Loss  0.865404, Average Loss  0.872995, Time  0.446845
2021-09-28 20:35:04.552321 : Epoch  3, Batch    161, Loss  0.872941, Average Loss  0.872985, Time  0.447075
2021-09-28 20:35:10.489970 : Epoch  3, Batch    162, Loss  0.855992, Average Loss  0.872911, Time  0.445579
2021-09-28 20:35:16.455369 : Epoch  3, Batch    163, Loss  0.871034, Average Loss  0.872927, Time  0.460205
2021-09-28 20:35:22.393918 : Epoch  3, Batch    164, Loss  0.863419, Average Loss  0.872932, Time  0.447822
2021-09-28 20:35:28.345110 : Epoch  3, Batch    165, Loss  0.864825, Average Loss  0.872814, Time  0.444668
2021-09-28 20:35:34.285127 : Epoch  3, Batch    166, Loss  0.884860, Average Loss  0.872921, Time  0.445744
2021-09-28 20:35:40.225952 : Epoch  3, Batch    167, Loss  0.870672, Average Loss  0.872849, Time  0.445227
2021-09-28 20:35:46.177368 : Epoch  3, Batch    168, Loss  0.889102, Average Loss  0.872852, Time  0.445246
2021-09-28 20:35:52.124166 : Epoch  3, Batch    169, Loss  0.860776, Average Loss  0.872775, Time  0.446314
2021-09-28 20:35:58.059246 : Epoch  3, Batch    170, Loss  0.882738, Average Loss  0.872796, Time  0.444772
2021-09-28 20:36:04.021378 : Epoch  3, Batch    171, Loss  0.875670, Average Loss  0.872826, Time  0.456134
2021-09-28 20:36:09.946685 : Epoch  3, Batch    172, Loss  0.875148, Average Loss  0.872886, Time  0.445923
2021-09-28 20:36:15.908703 : Epoch  3, Batch    173, Loss  0.869117, Average Loss  0.872871, Time  0.445052
2021-09-28 20:36:21.851840 : Epoch  3, Batch    174, Loss  0.865181, Average Loss  0.872883, Time  0.444326
2021-09-28 20:36:27.801360 : Epoch  3, Batch    175, Loss  0.880724, Average Loss  0.872932, Time  0.445200
2021-09-28 20:36:33.740125 : Epoch  3, Batch    176, Loss  0.867823, Average Loss  0.872867, Time  0.444408
2021-09-28 20:36:39.677841 : Epoch  3, Batch    177, Loss  0.870700, Average Loss  0.872887, Time  0.448565
2021-09-28 20:36:45.625056 : Epoch  3, Batch    178, Loss  0.891656, Average Loss  0.872937, Time  0.446333
2021-09-28 20:36:51.585004 : Epoch  3, Batch    179, Loss  0.862816, Average Loss  0.872939, Time  0.462089
2021-09-28 20:36:57.542131 : Epoch  3, Batch    180, Loss  0.866007, Average Loss  0.872849, Time  0.445039
2021-09-28 20:37:03.495831 : Epoch  3, Batch    181, Loss  0.860221, Average Loss  0.872823, Time  0.447633
2021-09-28 20:37:09.447704 : Epoch  3, Batch    182, Loss  0.875678, Average Loss  0.872855, Time  0.449171
2021-09-28 20:37:15.389746 : Epoch  3, Batch    183, Loss  0.871687, Average Loss  0.872844, Time  0.444735
2021-09-28 20:37:21.345807 : Epoch  3, Batch    184, Loss  0.872004, Average Loss  0.872829, Time  0.446099
2021-09-28 20:37:27.280237 : Epoch  3, Batch    185, Loss  0.894987, Average Loss  0.872944, Time  0.445512
2021-09-28 20:37:33.251505 : Epoch  3, Batch    186, Loss  0.879818, Average Loss  0.872912, Time  0.459670
2021-09-28 20:37:39.235901 : Epoch  3, Batch    187, Loss  0.868220, Average Loss  0.872898, Time  0.445040
2021-09-28 20:37:45.184901 : Epoch  3, Batch    188, Loss  0.877333, Average Loss  0.872858, Time  0.445019
2021-09-28 20:37:51.137753 : Epoch  3, Batch    189, Loss  0.871039, Average Loss  0.872889, Time  0.444513
2021-09-28 20:37:57.098875 : Epoch  3, Batch    190, Loss  0.879763, Average Loss  0.872927, Time  0.447277
2021-09-28 20:38:03.064759 : Epoch  3, Batch    191, Loss  0.861346, Average Loss  0.872879, Time  0.449548
2021-09-28 20:38:09.008809 : Epoch  3, Batch    192, Loss  0.865585, Average Loss  0.872876, Time  0.446280
2021-09-28 20:38:14.962241 : Epoch  3, Batch    193, Loss  0.874811, Average Loss  0.872876, Time  0.445212
2021-09-28 20:38:20.921235 : Epoch  3, Batch    194, Loss  0.876024, Average Loss  0.872825, Time  0.454127
2021-09-28 20:38:26.867790 : Epoch  3, Batch    195, Loss  0.882797, Average Loss  0.872954, Time  0.448747
2021-09-28 20:38:32.828997 : Epoch  3, Batch    196, Loss  0.878545, Average Loss  0.872988, Time  0.445242
2021-09-28 20:38:38.777252 : Epoch  3, Batch    197, Loss  0.868215, Average Loss  0.872963, Time  0.446901
2021-09-28 20:38:44.736522 : Epoch  3, Batch    198, Loss  0.866509, Average Loss  0.872925, Time  0.445606
2021-09-28 20:38:50.691515 : Epoch  3, Batch    199, Loss  0.868237, Average Loss  0.872850, Time  0.444641
2021-09-28 20:38:56.630177 : Epoch  3, Batch    200, Loss  0.873961, Average Loss  0.872779, Time  0.445794
2021-09-28 20:39:02.591599 : Epoch  3, Batch    201, Loss  0.876048, Average Loss  0.872819, Time  0.446826
2021-09-28 20:39:08.567836 : Epoch  3, Batch    202, Loss  0.866303, Average Loss  0.872817, Time  0.464736
2021-09-28 20:39:14.507803 : Epoch  3, Batch    203, Loss  0.888809, Average Loss  0.872810, Time  0.445654
2021-09-28 20:39:20.460847 : Epoch  3, Batch    204, Loss  0.869774, Average Loss  0.872857, Time  0.445257
2021-09-28 20:39:26.396817 : Epoch  3, Batch    205, Loss  0.876930, Average Loss  0.872868, Time  0.445158
2021-09-28 20:39:32.343782 : Epoch  3, Batch    206, Loss  0.882725, Average Loss  0.872906, Time  0.444800
2021-09-28 20:39:38.298605 : Epoch  3, Batch    207, Loss  0.868233, Average Loss  0.872890, Time  0.444268
2021-09-28 20:39:44.236038 : Epoch  3, Batch    208, Loss  0.877474, Average Loss  0.872907, Time  0.443983
2021-09-28 20:39:50.185919 : Epoch  3, Batch    209, Loss  0.877236, Average Loss  0.872901, Time  0.460968
2021-09-28 20:39:56.131898 : Epoch  3, Batch    210, Loss  0.876837, Average Loss  0.872934, Time  0.448512
2021-09-28 20:40:02.071279 : Epoch  3, Batch    211, Loss  0.879023, Average Loss  0.872974, Time  0.444129
2021-09-28 20:40:08.006522 : Epoch  3, Batch    212, Loss  0.887772, Average Loss  0.873082, Time  0.446473
2021-09-28 20:40:13.943750 : Epoch  3, Batch    213, Loss  0.886167, Average Loss  0.873135, Time  0.444318
2021-09-28 20:40:19.895427 : Epoch  3, Batch    214, Loss  0.879482, Average Loss  0.873110, Time  0.444281
2021-09-28 20:40:25.839519 : Epoch  3, Batch    215, Loss  0.871584, Average Loss  0.873079, Time  0.445275
2021-09-28 20:40:31.810686 : Epoch  3, Batch    216, Loss  0.861542, Average Loss  0.873119, Time  0.447106
2021-09-28 20:40:37.774285 : Epoch  3, Batch    217, Loss  0.868954, Average Loss  0.873171, Time  0.455268
2021-09-28 20:40:43.722032 : Epoch  3, Batch    218, Loss  0.870365, Average Loss  0.873121, Time  0.444963
2021-09-28 20:40:49.672358 : Epoch  3, Batch    219, Loss  0.873046, Average Loss  0.873138, Time  0.445922
2021-09-28 20:40:55.631697 : Epoch  3, Batch    220, Loss  0.861728, Average Loss  0.873080, Time  0.445864
2021-09-28 20:41:01.595882 : Epoch  3, Batch    221, Loss  0.876804, Average Loss  0.873168, Time  0.447343
2021-09-28 20:41:07.557550 : Epoch  3, Batch    222, Loss  0.884318, Average Loss  0.873169, Time  0.448610
2021-09-28 20:41:13.513601 : Epoch  3, Batch    223, Loss  0.868609, Average Loss  0.873146, Time  0.449116
2021-09-28 20:41:19.451260 : Epoch  3, Batch    224, Loss  0.854838, Average Loss  0.873074, Time  0.447136
2021-09-28 20:41:25.422348 : Epoch  3, Batch    225, Loss  0.873622, Average Loss  0.873057, Time  0.457626
2021-09-28 20:41:31.382124 : Epoch  3, Batch    226, Loss  0.879976, Average Loss  0.873032, Time  0.447790
2021-09-28 20:41:37.337868 : Epoch  3, Batch    227, Loss  0.868400, Average Loss  0.873009, Time  0.447831
2021-09-28 20:41:43.274425 : Epoch  3, Batch    228, Loss  0.867782, Average Loss  0.873023, Time  0.444445
2021-09-28 20:41:49.235500 : Epoch  3, Batch    229, Loss  0.880425, Average Loss  0.873033, Time  0.446502
2021-09-28 20:41:55.196043 : Epoch  3, Batch    230, Loss  0.877105, Average Loss  0.873054, Time  0.445777
2021-09-28 20:42:01.159689 : Epoch  3, Batch    231, Loss  0.861845, Average Loss  0.872999, Time  0.445566
2021-09-28 20:42:07.107943 : Epoch  3, Batch    232, Loss  0.870342, Average Loss  0.872983, Time  0.449164
2021-09-28 20:42:13.086399 : Epoch  3, Batch    233, Loss  0.881441, Average Loss  0.873026, Time  0.462632
2021-09-28 20:42:19.039320 : Epoch  3, Batch    234, Loss  0.875707, Average Loss  0.873135, Time  0.446219
2021-09-28 20:42:25.006049 : Epoch  3, Batch    235, Loss  0.872427, Average Loss  0.873074, Time  0.446908
2021-09-28 20:42:30.940824 : Epoch  3, Batch    236, Loss  0.869118, Average Loss  0.873020, Time  0.445315
2021-09-28 20:42:36.906478 : Epoch  3, Batch    237, Loss  0.870276, Average Loss  0.872990, Time  0.446744
2021-09-28 20:42:42.850292 : Epoch  3, Batch    238, Loss  0.881640, Average Loss  0.872908, Time  0.444623
2021-09-28 20:42:48.799777 : Epoch  3, Batch    239, Loss  0.873962, Average Loss  0.872949, Time  0.447939
2021-09-28 20:42:54.747255 : Epoch  3, Batch    240, Loss  0.867616, Average Loss  0.872905, Time  0.445417
2021-09-28 20:43:00.725138 : Epoch  3, Batch    241, Loss  0.883987, Average Loss  0.873031, Time  0.459318
2021-09-28 20:43:06.695216 : Epoch  3, Batch    242, Loss  0.875166, Average Loss  0.872949, Time  0.446723
2021-09-28 20:43:12.645709 : Epoch  3, Batch    243, Loss  0.869003, Average Loss  0.872948, Time  0.445474
2021-09-28 20:43:18.609890 : Epoch  3, Batch    244, Loss  0.885476, Average Loss  0.873000, Time  0.445287
2021-09-28 20:47:59.976164 : CheckPoint: Validation Loss  0.00015279, Best Loss  0.00015047
2021-09-28 20:48:05.924979 : Epoch  3, Batch    245, Loss  0.868056, Average Loss  0.873015, Time  0.446272
2021-09-28 20:48:11.854546 : Epoch  3, Batch    246, Loss  0.873674, Average Loss  0.873003, Time  0.444533
2021-09-28 20:48:17.797897 : Epoch  3, Batch    247, Loss  0.860347, Average Loss  0.872895, Time  0.456647
2021-09-28 20:48:23.718730 : Epoch  3, Batch    248, Loss  0.880750, Average Loss  0.872926, Time  0.446143
2021-09-28 20:48:29.670183 : Epoch  3, Batch    249, Loss  0.884407, Average Loss  0.872981, Time  0.446493
2021-09-28 20:48:35.598146 : Epoch  3, Batch    250, Loss  0.868605, Average Loss  0.873032, Time  0.447796
2021-09-28 20:48:41.523644 : Epoch  3, Batch    251, Loss  0.863759, Average Loss  0.872977, Time  0.446285
2021-09-28 20:48:47.463510 : Epoch  3, Batch    252, Loss  0.879319, Average Loss  0.872982, Time  0.445245
2021-09-28 20:48:53.392851 : Epoch  3, Batch    253, Loss  0.868816, Average Loss  0.872896, Time  0.447529
2021-09-28 20:48:59.334840 : Epoch  3, Batch    254, Loss  0.868068, Average Loss  0.872971, Time  0.448081
2021-09-28 20:49:05.277225 : Epoch  3, Batch    255, Loss  0.863259, Average Loss  0.872944, Time  0.455683
2021-09-28 20:49:11.217019 : Epoch  3, Batch    256, Loss  0.883647, Average Loss  0.872977, Time  0.446146
2021-09-28 20:49:17.129836 : Epoch  3, Batch    257, Loss  0.871224, Average Loss  0.872948, Time  0.446635
2021-09-28 20:49:23.051757 : Epoch  3, Batch    258, Loss  0.887710, Average Loss  0.872959, Time  0.445759
2021-09-28 20:49:28.981562 : Epoch  3, Batch    259, Loss  0.857535, Average Loss  0.872892, Time  0.446535
2021-09-28 20:49:34.914341 : Epoch  3, Batch    260, Loss  0.868371, Average Loss  0.872811, Time  0.449309
2021-09-28 20:49:40.825406 : Epoch  3, Batch    261, Loss  0.868926, Average Loss  0.872786, Time  0.446502
2021-09-28 20:49:46.749237 : Epoch  3, Batch    262, Loss  0.875455, Average Loss  0.872851, Time  0.444860
2021-09-28 20:49:52.692380 : Epoch  3, Batch    263, Loss  0.866501, Average Loss  0.872829, Time  0.458198
2021-09-28 20:49:58.614856 : Epoch  3, Batch    264, Loss  0.857136, Average Loss  0.872829, Time  0.444869
2021-09-28 20:50:04.539692 : Epoch  3, Batch    265, Loss  0.882277, Average Loss  0.872959, Time  0.448780
2021-09-28 20:50:10.456893 : Epoch  3, Batch    266, Loss  0.850123, Average Loss  0.872774, Time  0.446288
2021-09-28 20:50:16.395518 : Epoch  3, Batch    267, Loss  0.871756, Average Loss  0.872738, Time  0.448672
2021-09-28 20:50:22.315741 : Epoch  3, Batch    268, Loss  0.882861, Average Loss  0.872755, Time  0.444673
2021-09-28 20:50:28.245124 : Epoch  3, Batch    269, Loss  0.873777, Average Loss  0.872731, Time  0.445679
2021-09-28 20:50:34.158945 : Epoch  3, Batch    270, Loss  0.884218, Average Loss  0.872790, Time  0.444327
2021-09-28 20:50:40.106123 : Epoch  3, Batch    271, Loss  0.877148, Average Loss  0.872813, Time  0.460138
2021-09-28 20:50:46.029858 : Epoch  3, Batch    272, Loss  0.878058, Average Loss  0.872812, Time  0.446151
2021-09-28 20:50:51.957637 : Epoch  3, Batch    273, Loss  0.875281, Average Loss  0.872800, Time  0.446276
2021-09-28 20:50:57.895672 : Epoch  3, Batch    274, Loss  0.877122, Average Loss  0.872888, Time  0.447416
2021-09-28 20:51:03.823960 : Epoch  3, Batch    275, Loss  0.870336, Average Loss  0.872912, Time  0.447338
2021-09-28 20:51:09.746592 : Epoch  3, Batch    276, Loss  0.870438, Average Loss  0.872915, Time  0.444350
2021-09-28 20:51:15.680397 : Epoch  3, Batch    277, Loss  0.853302, Average Loss  0.872827, Time  0.447565
2021-09-28 20:51:21.613709 : Epoch  3, Batch    278, Loss  0.866606, Average Loss  0.872825, Time  0.449125
2021-09-28 20:51:27.559169 : Epoch  3, Batch    279, Loss  0.875770, Average Loss  0.872825, Time  0.462429
2021-09-28 20:51:33.485723 : Epoch  3, Batch    280, Loss  0.872493, Average Loss  0.872758, Time  0.444818
2021-09-28 20:51:39.419418 : Epoch  3, Batch    281, Loss  0.859397, Average Loss  0.872710, Time  0.444716
2021-09-28 20:51:45.364251 : Epoch  3, Batch    282, Loss  0.889145, Average Loss  0.872745, Time  0.448190
2021-09-28 20:51:51.313213 : Epoch  3, Batch    283, Loss  0.869628, Average Loss  0.872751, Time  0.449167
2021-09-28 20:51:57.259507 : Epoch  3, Batch    284, Loss  0.891376, Average Loss  0.872899, Time  0.445695
2021-09-28 20:52:03.186779 : Epoch  3, Batch    285, Loss  0.884771, Average Loss  0.872933, Time  0.445740
2021-09-28 20:52:09.114759 : Epoch  3, Batch    286, Loss  0.876433, Average Loss  0.872901, Time  0.456471
2021-09-28 20:52:15.046575 : Epoch  3, Batch    287, Loss  0.858078, Average Loss  0.872840, Time  0.445887
2021-09-28 20:52:20.972576 : Epoch  3, Batch    288, Loss  0.876960, Average Loss  0.872864, Time  0.446159
2021-09-28 20:52:26.894042 : Epoch  3, Batch    289, Loss  0.880921, Average Loss  0.872873, Time  0.446096
2021-09-28 20:52:32.821765 : Epoch  3, Batch    290, Loss  0.870514, Average Loss  0.872852, Time  0.446756
2021-09-28 20:52:38.755505 : Epoch  3, Batch    291, Loss  0.865334, Average Loss  0.872810, Time  0.446377
2021-09-28 20:52:44.679543 : Epoch  3, Batch    292, Loss  0.863237, Average Loss  0.872786, Time  0.445163
2021-09-28 20:52:50.625452 : Epoch  3, Batch    293, Loss  0.858111, Average Loss  0.872702, Time  0.447115
2021-09-28 20:52:56.558424 : Epoch  3, Batch    294, Loss  0.881357, Average Loss  0.872677, Time  0.457394
2021-09-28 20:53:02.491873 : Epoch  3, Batch    295, Loss  0.868638, Average Loss  0.872642, Time  0.444571
2021-09-28 20:53:08.413627 : Epoch  3, Batch    296, Loss  0.868070, Average Loss  0.872604, Time  0.445896
2021-09-28 20:53:14.322634 : Epoch  3, Batch    297, Loss  0.867115, Average Loss  0.872572, Time  0.445449
2021-09-28 20:53:20.236757 : Epoch  3, Batch    298, Loss  0.868681, Average Loss  0.872562, Time  0.445391
2021-09-28 20:53:26.152299 : Epoch  3, Batch    299, Loss  0.873002, Average Loss  0.872559, Time  0.447859
2021-09-28 20:53:32.083999 : Epoch  3, Batch    300, Loss  0.875152, Average Loss  0.872586, Time  0.447553
2021-09-28 20:53:38.011702 : Epoch  3, Batch    301, Loss  0.867055, Average Loss  0.872534, Time  0.444854
2021-09-28 20:53:43.962127 : Epoch  3, Batch    302, Loss  0.860626, Average Loss  0.872464, Time  0.460041
2021-09-28 20:53:49.905236 : Epoch  3, Batch    303, Loss  0.873810, Average Loss  0.872410, Time  0.445720
2021-09-28 20:53:55.845000 : Epoch  3, Batch    304, Loss  0.856208, Average Loss  0.872329, Time  0.446765
2021-09-28 20:54:01.771189 : Epoch  3, Batch    305, Loss  0.870173, Average Loss  0.872372, Time  0.447641
2021-09-28 20:54:07.691783 : Epoch  3, Batch    306, Loss  0.878094, Average Loss  0.872489, Time  0.444591
2021-09-28 20:54:13.641745 : Epoch  3, Batch    307, Loss  0.876471, Average Loss  0.872611, Time  0.448333
2021-09-28 20:54:19.575591 : Epoch  3, Batch    308, Loss  0.863487, Average Loss  0.872616, Time  0.445306
2021-09-28 20:54:25.507817 : Epoch  3, Batch    309, Loss  0.876425, Average Loss  0.872605, Time  0.445745
2021-09-28 20:54:31.449982 : Epoch  3, Batch    310, Loss  0.858095, Average Loss  0.872502, Time  0.460320
2021-09-28 20:54:37.378864 : Epoch  3, Batch    311, Loss  0.869459, Average Loss  0.872472, Time  0.447818
2021-09-28 20:54:43.309859 : Epoch  3, Batch    312, Loss  0.869273, Average Loss  0.872448, Time  0.444263
2021-09-28 20:54:49.244619 : Epoch  3, Batch    313, Loss  0.863319, Average Loss  0.872448, Time  0.446861
2021-09-28 20:54:55.178865 : Epoch  3, Batch    314, Loss  0.870863, Average Loss  0.872434, Time  0.449071
2021-09-28 20:55:01.112341 : Epoch  3, Batch    315, Loss  0.860881, Average Loss  0.872290, Time  0.445906
2021-09-28 20:55:07.059305 : Epoch  3, Batch    316, Loss  0.882682, Average Loss  0.872435, Time  0.448187
2021-09-28 20:55:12.971785 : Epoch  3, Batch    317, Loss  0.894354, Average Loss  0.872594, Time  0.446239
2021-09-28 20:55:18.924833 : Epoch  3, Batch    318, Loss  0.866074, Average Loss  0.872514, Time  0.456467
2021-09-28 20:55:24.866070 : Epoch  3, Batch    319, Loss  0.861407, Average Loss  0.872431, Time  0.446023
2021-09-28 20:55:30.793212 : Epoch  3, Batch    320, Loss  0.871106, Average Loss  0.872414, Time  0.446389
2021-09-28 20:55:36.712431 : Epoch  3, Batch    321, Loss  0.867884, Average Loss  0.872426, Time  0.444498
2021-09-28 20:55:42.643871 : Epoch  3, Batch    322, Loss  0.862179, Average Loss  0.872360, Time  0.445327
2021-09-28 20:55:48.567906 : Epoch  3, Batch    323, Loss  0.868114, Average Loss  0.872424, Time  0.447100
2021-09-28 20:55:54.512730 : Epoch  3, Batch    324, Loss  0.881705, Average Loss  0.872479, Time  0.447478
2021-09-28 20:56:00.448549 : Epoch  3, Batch    325, Loss  0.866649, Average Loss  0.872424, Time  0.446636
2021-09-28 20:56:06.397543 : Epoch  3, Batch    326, Loss  0.874930, Average Loss  0.872428, Time  0.458218
2021-09-28 20:56:12.317787 : Epoch  3, Batch    327, Loss  0.878236, Average Loss  0.872357, Time  0.444257
2021-09-28 20:56:18.247459 : Epoch  3, Batch    328, Loss  0.870013, Average Loss  0.872327, Time  0.445367
2021-09-28 20:56:24.197368 : Epoch  3, Batch    329, Loss  0.871500, Average Loss  0.872313, Time  0.445413
2021-09-28 20:56:30.118904 : Epoch  3, Batch    330, Loss  0.868531, Average Loss  0.872255, Time  0.447989
2021-09-28 20:56:36.038880 : Epoch  3, Batch    331, Loss  0.866264, Average Loss  0.872248, Time  0.444832
2021-09-28 20:56:41.968276 : Epoch  3, Batch    332, Loss  0.864260, Average Loss  0.872106, Time  0.445803
2021-09-28 20:56:47.896596 : Epoch  3, Batch    333, Loss  0.879889, Average Loss  0.872171, Time  0.444889
2021-09-28 20:56:53.833140 : Epoch  3, Batch    334, Loss  0.864090, Average Loss  0.872023, Time  0.458551
2021-09-28 20:56:59.771408 : Epoch  3, Batch    335, Loss  0.881800, Average Loss  0.872111, Time  0.445042
2021-09-28 20:57:05.692555 : Epoch  3, Batch    336, Loss  0.873772, Average Loss  0.872066, Time  0.446320
2021-09-28 20:57:11.617354 : Epoch  3, Batch    337, Loss  0.865745, Average Loss  0.872003, Time  0.445207
2021-09-28 20:57:17.548053 : Epoch  3, Batch    338, Loss  0.871731, Average Loss  0.872083, Time  0.447458
2021-09-28 20:57:23.473747 : Epoch  3, Batch    339, Loss  0.887194, Average Loss  0.872207, Time  0.446533
2021-09-28 20:57:29.403514 : Epoch  3, Batch    340, Loss  0.872073, Average Loss  0.872221, Time  0.447575
2021-09-28 20:57:35.348791 : Epoch  3, Batch    341, Loss  0.867715, Average Loss  0.872244, Time  0.450983
2021-09-28 20:57:41.285132 : Epoch  3, Batch    342, Loss  0.867242, Average Loss  0.872239, Time  0.445429
2021-09-28 20:57:47.214493 : Epoch  3, Batch    343, Loss  0.881570, Average Loss  0.872258, Time  0.444867
2021-09-28 20:57:53.150745 : Epoch  3, Batch    344, Loss  0.867888, Average Loss  0.872256, Time  0.445102
2021-09-28 21:02:33.513803 : CheckPoint: Validation Loss  0.00015453, Best Loss  0.00015047
2021-09-28 21:02:39.462480 : Epoch  3, Batch    345, Loss  0.866003, Average Loss  0.872280, Time  0.445971
2021-09-28 21:02:45.413401 : Epoch  3, Batch    346, Loss  0.870667, Average Loss  0.872297, Time  0.446732
2021-09-28 21:02:51.363569 : Epoch  3, Batch    347, Loss  0.881094, Average Loss  0.872356, Time  0.446412
2021-09-28 21:02:57.317878 : Epoch  3, Batch    348, Loss  0.867706, Average Loss  0.872250, Time  0.459139
2021-09-28 21:03:03.245574 : Epoch  3, Batch    349, Loss  0.862124, Average Loss  0.872193, Time  0.444398
2021-09-28 21:03:09.189809 : Epoch  3, Batch    350, Loss  0.852011, Average Loss  0.872083, Time  0.444697
2021-09-28 21:03:15.109367 : Epoch  3, Batch    351, Loss  0.861820, Average Loss  0.872024, Time  0.443857
2021-09-28 21:03:21.057601 : Epoch  3, Batch    352, Loss  0.863186, Average Loss  0.871944, Time  0.446014
2021-09-28 21:03:26.993403 : Epoch  3, Batch    353, Loss  0.871917, Average Loss  0.871979, Time  0.447486
2021-09-28 21:03:32.945775 : Epoch  3, Batch    354, Loss  0.881287, Average Loss  0.872077, Time  0.444412
2021-09-28 21:03:38.905889 : Epoch  3, Batch    355, Loss  0.884303, Average Loss  0.872091, Time  0.447551
2021-09-28 21:03:44.880285 : Epoch  3, Batch    356, Loss  0.878439, Average Loss  0.872182, Time  0.463568
2021-09-28 21:03:50.824577 : Epoch  3, Batch    357, Loss  0.875432, Average Loss  0.872199, Time  0.444367
2021-09-28 21:03:56.781107 : Epoch  3, Batch    358, Loss  0.877754, Average Loss  0.872211, Time  0.448206
2021-09-28 21:04:02.719642 : Epoch  3, Batch    359, Loss  0.859658, Average Loss  0.872153, Time  0.445000
2021-09-28 21:04:08.650403 : Epoch  3, Batch    360, Loss  0.866993, Average Loss  0.872161, Time  0.445391
2021-09-28 21:04:14.602942 : Epoch  3, Batch    361, Loss  0.873610, Average Loss  0.872164, Time  0.447559
2021-09-28 21:04:20.542886 : Epoch  3, Batch    362, Loss  0.874018, Average Loss  0.872254, Time  0.447449
2021-09-28 21:04:26.501740 : Epoch  3, Batch    363, Loss  0.865205, Average Loss  0.872225, Time  0.444278
2021-09-28 21:04:32.473146 : Epoch  3, Batch    364, Loss  0.873373, Average Loss  0.872275, Time  0.453908
2021-09-28 21:04:38.426640 : Epoch  3, Batch    365, Loss  0.871430, Average Loss  0.872308, Time  0.447782
2021-09-28 21:04:44.365796 : Epoch  3, Batch    366, Loss  0.869121, Average Loss  0.872229, Time  0.445001
2021-09-28 21:04:50.317570 : Epoch  3, Batch    367, Loss  0.871645, Average Loss  0.872234, Time  0.449013
2021-09-28 21:04:56.262772 : Epoch  3, Batch    368, Loss  0.868329, Average Loss  0.872130, Time  0.445558
2021-09-28 21:05:02.215300 : Epoch  3, Batch    369, Loss  0.871872, Average Loss  0.872186, Time  0.447748
2021-09-28 21:05:08.170056 : Epoch  3, Batch    370, Loss  0.874601, Average Loss  0.872145, Time  0.444518
2021-09-28 21:05:14.098606 : Epoch  3, Batch    371, Loss  0.890135, Average Loss  0.872217, Time  0.444479
2021-09-28 21:05:20.054705 : Epoch  3, Batch    372, Loss  0.874401, Average Loss  0.872214, Time  0.457876
2021-09-28 21:05:26.002802 : Epoch  3, Batch    373, Loss  0.884914, Average Loss  0.872293, Time  0.444919
2021-09-28 21:05:31.951011 : Epoch  3, Batch    374, Loss  0.871117, Average Loss  0.872322, Time  0.445903
2021-09-28 21:05:37.898089 : Epoch  3, Batch    375, Loss  0.870648, Average Loss  0.872272, Time  0.446129
2021-09-28 21:05:43.855479 : Epoch  3, Batch    376, Loss  0.874393, Average Loss  0.872305, Time  0.444454
2021-09-28 21:05:49.811417 : Epoch  3, Batch    377, Loss  0.870374, Average Loss  0.872303, Time  0.446734
2021-09-28 21:05:55.751797 : Epoch  3, Batch    378, Loss  0.866977, Average Loss  0.872180, Time  0.448663
2021-09-28 21:06:01.695824 : Epoch  3, Batch    379, Loss  0.887301, Average Loss  0.872302, Time  0.446568
2021-09-28 21:06:07.624445 : Epoch  3, Batch    380, Loss  0.879776, Average Loss  0.872371, Time  0.460254
2021-09-28 21:06:13.568885 : Epoch  3, Batch    381, Loss  0.871375, Average Loss  0.872427, Time  0.444460
2021-09-28 21:06:19.521640 : Epoch  3, Batch    382, Loss  0.874841, Average Loss  0.872423, Time  0.447687
2021-09-28 21:06:25.460006 : Epoch  3, Batch    383, Loss  0.883985, Average Loss  0.872484, Time  0.445069
2021-09-28 21:06:31.404628 : Epoch  3, Batch    384, Loss  0.861104, Average Loss  0.872430, Time  0.444959
2021-09-28 21:06:37.326761 : Epoch  3, Batch    385, Loss  0.869816, Average Loss  0.872304, Time  0.446728
2021-09-28 21:06:43.268811 : Epoch  3, Batch    386, Loss  0.879893, Average Loss  0.872304, Time  0.447258
2021-09-28 21:06:49.232560 : Epoch  3, Batch    387, Loss  0.876771, Average Loss  0.872347, Time  0.465024
2021-09-28 21:06:55.200026 : Epoch  3, Batch    388, Loss  0.877277, Average Loss  0.872347, Time  0.446906
2021-09-28 21:07:01.147069 : Epoch  3, Batch    389, Loss  0.869162, Average Loss  0.872337, Time  0.447758
2021-09-28 21:07:07.084774 : Epoch  3, Batch    390, Loss  0.862715, Average Loss  0.872252, Time  0.444485
2021-09-28 21:07:13.017776 : Epoch  3, Batch    391, Loss  0.871321, Average Loss  0.872302, Time  0.448628
2021-09-28 21:07:18.988641 : Epoch  3, Batch    392, Loss  0.871347, Average Loss  0.872331, Time  0.447781
2021-09-28 21:07:24.926810 : Epoch  3, Batch    393, Loss  0.868985, Average Loss  0.872302, Time  0.446739
2021-09-28 21:07:30.888069 : Epoch  3, Batch    394, Loss  0.888440, Average Loss  0.872364, Time  0.448899
2021-09-28 21:07:36.817425 : Epoch  3, Batch    395, Loss  0.882735, Average Loss  0.872363, Time  0.450319
2021-09-28 21:07:42.767779 : Epoch  3, Batch    396, Loss  0.862046, Average Loss  0.872281, Time  0.444374
2021-09-28 21:07:48.712828 : Epoch  3, Batch    397, Loss  0.901227, Average Loss  0.872446, Time  0.447846
2021-09-28 21:07:54.643810 : Epoch  3, Batch    398, Loss  0.887916, Average Loss  0.872553, Time  0.445451
2021-09-28 21:08:00.597021 : Epoch  3, Batch    399, Loss  0.860401, Average Loss  0.872514, Time  0.445363
2021-09-28 21:08:06.526288 : Epoch  3, Batch    400, Loss  0.877259, Average Loss  0.872530, Time  0.446049
2021-09-28 21:08:12.446851 : Epoch  3, Batch    401, Loss  0.876347, Average Loss  0.872532, Time  0.447764
2021-09-28 21:08:18.394116 : Epoch  3, Batch    402, Loss  0.877988, Average Loss  0.872590, Time  0.444767
2021-09-28 21:08:24.358744 : Epoch  3, Batch    403, Loss  0.871660, Average Loss  0.872504, Time  0.459420
2021-09-28 21:08:30.311157 : Epoch  3, Batch    404, Loss  0.886204, Average Loss  0.872587, Time  0.444892
2021-09-28 21:08:36.283314 : Epoch  3, Batch    405, Loss  0.881952, Average Loss  0.872612, Time  0.450094
2021-09-28 21:08:42.223707 : Epoch  3, Batch    406, Loss  0.860921, Average Loss  0.872503, Time  0.444589
2021-09-28 21:08:48.160252 : Epoch  3, Batch    407, Loss  0.879051, Average Loss  0.872557, Time  0.445473
2021-09-28 21:08:54.095140 : Epoch  3, Batch    408, Loss  0.878226, Average Loss  0.872561, Time  0.446456
2021-09-28 21:09:00.035622 : Epoch  3, Batch    409, Loss  0.874650, Average Loss  0.872548, Time  0.448404
2021-09-28 21:09:05.983217 : Epoch  3, Batch    410, Loss  0.883723, Average Loss  0.872582, Time  0.446534
2021-09-28 21:09:11.937604 : Epoch  3, Batch    411, Loss  0.875153, Average Loss  0.872563, Time  0.460857
2021-09-28 21:09:17.868627 : Epoch  3, Batch    412, Loss  0.877746, Average Loss  0.872513, Time  0.444891
2021-09-28 21:09:23.828863 : Epoch  3, Batch    413, Loss  0.868430, Average Loss  0.872424, Time  0.446484
2021-09-28 21:09:29.763740 : Epoch  3, Batch    414, Loss  0.871730, Average Loss  0.872385, Time  0.444902
2021-09-28 21:09:35.700155 : Epoch  3, Batch    415, Loss  0.877628, Average Loss  0.872415, Time  0.446075
2021-09-28 21:09:41.639411 : Epoch  3, Batch    416, Loss  0.879196, Average Loss  0.872504, Time  0.444674
2021-09-28 21:09:47.560782 : Epoch  3, Batch    417, Loss  0.870163, Average Loss  0.872510, Time  0.444194
2021-09-28 21:09:53.514799 : Epoch  3, Batch    418, Loss  0.888441, Average Loss  0.872600, Time  0.446743
2021-09-28 21:09:59.483827 : Epoch  3, Batch    419, Loss  0.864737, Average Loss  0.872558, Time  0.455495
2021-09-28 21:10:05.422920 : Epoch  3, Batch    420, Loss  0.864059, Average Loss  0.872570, Time  0.446689
2021-09-28 21:10:11.363892 : Epoch  3, Batch    421, Loss  0.877105, Average Loss  0.872572, Time  0.446522
2021-09-28 21:10:17.301174 : Epoch  3, Batch    422, Loss  0.876174, Average Loss  0.872531, Time  0.445398
2021-09-28 21:10:23.252343 : Epoch  3, Batch    423, Loss  0.861347, Average Loss  0.872495, Time  0.448270
2021-09-28 21:10:29.199835 : Epoch  3, Batch    424, Loss  0.864052, Average Loss  0.872541, Time  0.450161
2021-09-28 21:10:35.129785 : Epoch  3, Batch    425, Loss  0.871269, Average Loss  0.872529, Time  0.444239
2021-09-28 21:10:41.060117 : Epoch  3, Batch    426, Loss  0.873777, Average Loss  0.872498, Time  0.445505
2021-09-28 21:10:47.015722 : Epoch  3, Batch    427, Loss  0.874215, Average Loss  0.872527, Time  0.461470
2021-09-28 21:10:52.956422 : Epoch  3, Batch    428, Loss  0.857892, Average Loss  0.872478, Time  0.447581
2021-09-28 21:10:58.903245 : Epoch  3, Batch    429, Loss  0.881576, Average Loss  0.872483, Time  0.445763
2021-09-28 21:11:04.859444 : Epoch  3, Batch    430, Loss  0.868993, Average Loss  0.872443, Time  0.444824
2021-09-28 21:11:10.792768 : Epoch  3, Batch    431, Loss  0.872688, Average Loss  0.872497, Time  0.448088
2021-09-28 21:11:16.738782 : Epoch  3, Batch    432, Loss  0.859913, Average Loss  0.872445, Time  0.444560
2021-09-28 21:11:22.694909 : Epoch  3, Batch    433, Loss  0.880012, Average Loss  0.872438, Time  0.450173
2021-09-28 21:11:28.653796 : Epoch  3, Batch    434, Loss  0.876944, Average Loss  0.872444, Time  0.448050
2021-09-28 21:11:34.604337 : Epoch  3, Batch    435, Loss  0.871256, Average Loss  0.872438, Time  0.456457
2021-09-28 21:11:40.547778 : Epoch  3, Batch    436, Loss  0.863245, Average Loss  0.872409, Time  0.448193
2021-09-28 21:11:46.489626 : Epoch  3, Batch    437, Loss  0.862216, Average Loss  0.872368, Time  0.446755
2021-09-28 21:11:52.426959 : Epoch  3, Batch    438, Loss  0.869511, Average Loss  0.872308, Time  0.445622
2021-09-28 21:11:58.391552 : Epoch  3, Batch    439, Loss  0.854046, Average Loss  0.872208, Time  0.448819
2021-09-28 21:12:04.331676 : Epoch  3, Batch    440, Loss  0.862787, Average Loss  0.872184, Time  0.444684
2021-09-28 21:12:10.287298 : Epoch  3, Batch    441, Loss  0.870173, Average Loss  0.872115, Time  0.447599
2021-09-28 21:12:16.241701 : Epoch  3, Batch    442, Loss  0.860752, Average Loss  0.872043, Time  0.449683
2021-09-28 21:12:22.170676 : Epoch  3, Batch    443, Loss  0.888268, Average Loss  0.872139, Time  0.446970
2021-09-28 21:12:28.120525 : Epoch  3, Batch    444, Loss  0.874343, Average Loss  0.872083, Time  0.446316
2021-09-28 21:17:08.314764 : CheckPoint: Validation Loss  0.00015203, Best Loss  0.00015047
2021-09-28 21:17:14.281093 : Epoch  3, Batch    445, Loss  0.865567, Average Loss  0.872071, Time  0.448505
2021-09-28 21:17:20.214862 : Epoch  3, Batch    446, Loss  0.873885, Average Loss  0.872072, Time  0.445027
2021-09-28 21:17:26.176391 : Epoch  3, Batch    447, Loss  0.873203, Average Loss  0.872136, Time  0.446537
2021-09-28 21:17:32.124467 : Epoch  3, Batch    448, Loss  0.862116, Average Loss  0.872043, Time  0.444397
2021-09-28 21:17:38.098905 : Epoch  3, Batch    449, Loss  0.862217, Average Loss  0.871932, Time  0.456748
2021-09-28 21:17:44.043991 : Epoch  3, Batch    450, Loss  0.876043, Average Loss  0.871969, Time  0.446256
2021-09-28 21:17:49.977097 : Epoch  3, Batch    451, Loss  0.871340, Average Loss  0.872007, Time  0.446348
2021-09-28 21:17:55.919184 : Epoch  3, Batch    452, Loss  0.870078, Average Loss  0.871961, Time  0.444681
2021-09-28 21:18:01.875452 : Epoch  3, Batch    453, Loss  0.856741, Average Loss  0.871901, Time  0.444378
2021-09-28 21:18:07.826605 : Epoch  3, Batch    454, Loss  0.866476, Average Loss  0.871893, Time  0.444174
2021-09-28 21:18:13.779336 : Epoch  3, Batch    455, Loss  0.879017, Average Loss  0.871972, Time  0.446683
2021-09-28 21:18:19.721726 : Epoch  3, Batch    456, Loss  0.864000, Average Loss  0.871873, Time  0.448425
2021-09-28 21:18:25.686516 : Epoch  3, Batch    457, Loss  0.857971, Average Loss  0.871807, Time  0.456163
2021-09-28 21:18:31.666129 : Epoch  3, Batch    458, Loss  0.874164, Average Loss  0.871739, Time  0.446932
2021-09-28 21:18:37.624783 : Epoch  3, Batch    459, Loss  0.862339, Average Loss  0.871763, Time  0.445697
2021-09-28 21:18:43.550597 : Epoch  3, Batch    460, Loss  0.867656, Average Loss  0.871760, Time  0.445242
2021-09-28 21:18:49.514847 : Epoch  3, Batch    461, Loss  0.869332, Average Loss  0.871762, Time  0.447211
2021-09-28 21:18:55.456624 : Epoch  3, Batch    462, Loss  0.877935, Average Loss  0.871774, Time  0.448491
2021-09-28 21:19:01.406928 : Epoch  3, Batch    463, Loss  0.880988, Average Loss  0.871847, Time  0.447282
2021-09-28 21:19:07.352948 : Epoch  3, Batch    464, Loss  0.866391, Average Loss  0.871893, Time  0.453746
2021-09-28 21:19:13.296554 : Epoch  3, Batch    465, Loss  0.876619, Average Loss  0.871865, Time  0.445259
2021-09-28 21:19:19.249651 : Epoch  3, Batch    466, Loss  0.864992, Average Loss  0.871939, Time  0.447971
2021-09-28 21:19:25.189752 : Epoch  3, Batch    467, Loss  0.883592, Average Loss  0.871998, Time  0.444344
2021-09-28 21:19:31.131324 : Epoch  3, Batch    468, Loss  0.873510, Average Loss  0.871951, Time  0.444703
2021-09-28 21:19:37.062243 : Epoch  3, Batch    469, Loss  0.881111, Average Loss  0.871988, Time  0.445122
2021-09-28 21:19:43.023050 : Epoch  3, Batch    470, Loss  0.881710, Average Loss  0.871976, Time  0.453043
2021-09-28 21:19:48.957229 : Epoch  3, Batch    471, Loss  0.874250, Average Loss  0.871961, Time  0.444520
2021-09-28 21:19:54.908895 : Epoch  3, Batch    472, Loss  0.879659, Average Loss  0.871969, Time  0.459735
2021-09-28 21:20:00.856733 : Epoch  3, Batch    473, Loss  0.888075, Average Loss  0.872033, Time  0.447707
2021-09-28 21:20:06.801242 : Epoch  3, Batch    474, Loss  0.879519, Average Loss  0.872045, Time  0.445861
2021-09-28 21:20:12.743806 : Epoch  3, Batch    475, Loss  0.874792, Average Loss  0.872067, Time  0.444880
2021-09-28 21:20:18.680903 : Epoch  3, Batch    476, Loss  0.901467, Average Loss  0.872222, Time  0.447552
2021-09-28 21:20:24.644153 : Epoch  3, Batch    477, Loss  0.860328, Average Loss  0.872258, Time  0.448330
2021-09-28 21:20:30.566868 : Epoch  3, Batch    478, Loss  0.870880, Average Loss  0.872279, Time  0.444183
2021-09-28 21:20:36.501615 : Epoch  3, Batch    479, Loss  0.862797, Average Loss  0.872214, Time  0.444481
2021-09-28 21:20:42.429771 : Epoch  3, Batch    480, Loss  0.860933, Average Loss  0.872156, Time  0.453627
2021-09-28 21:20:48.374991 : Epoch  3, Batch    481, Loss  0.872659, Average Loss  0.872223, Time  0.444500
2021-09-28 21:20:54.320264 : Epoch  3, Batch    482, Loss  0.882326, Average Loss  0.872188, Time  0.445976
2021-09-28 21:21:00.259831 : Epoch  3, Batch    483, Loss  0.864635, Average Loss  0.872164, Time  0.447957
2021-09-28 21:21:06.221486 : Epoch  3, Batch    484, Loss  0.873640, Average Loss  0.872075, Time  0.448821
2021-09-28 21:21:12.177955 : Epoch  3, Batch    485, Loss  0.875912, Average Loss  0.872031, Time  0.447984
2021-09-28 21:21:18.137976 : Epoch  3, Batch    486, Loss  0.861421, Average Loss  0.871955, Time  0.449245
2021-09-28 21:21:24.087290 : Epoch  3, Batch    487, Loss  0.865061, Average Loss  0.871990, Time  0.447868
2021-09-28 21:21:30.048115 : Epoch  3, Batch    488, Loss  0.882395, Average Loss  0.872018, Time  0.458579
2021-09-28 21:21:35.987888 : Epoch  3, Batch    489, Loss  0.860685, Average Loss  0.871916, Time  0.444158
2021-09-28 21:21:41.924415 : Epoch  3, Batch    490, Loss  0.873579, Average Loss  0.871932, Time  0.447061
2021-09-28 21:21:47.859926 : Epoch  3, Batch    491, Loss  0.881465, Average Loss  0.872012, Time  0.445893
2021-09-28 21:21:53.804307 : Epoch  3, Batch    492, Loss  0.858101, Average Loss  0.871987, Time  0.444844
2021-09-28 21:21:59.767669 : Epoch  3, Batch    493, Loss  0.863073, Average Loss  0.872011, Time  0.446062
2021-09-28 21:22:05.728015 : Epoch  3, Batch    494, Loss  0.875570, Average Loss  0.871983, Time  0.445797
2021-09-28 21:22:11.694756 : Epoch  3, Batch    495, Loss  0.876544, Average Loss  0.872022, Time  0.445138
2021-09-28 21:22:17.644049 : Epoch  3, Batch    496, Loss  0.870310, Average Loss  0.872033, Time  0.458601
2021-09-28 21:22:23.584513 : Epoch  3, Batch    497, Loss  0.865954, Average Loss  0.872027, Time  0.446542
2021-09-28 21:22:29.542684 : Epoch  3, Batch    498, Loss  0.876417, Average Loss  0.872066, Time  0.447983
2021-09-28 21:22:35.489876 : Epoch  3, Batch    499, Loss  0.869797, Average Loss  0.872050, Time  0.446057
2021-09-28 21:22:41.424269 : Epoch  3, Batch    500, Loss  0.872469, Average Loss  0.872037, Time  0.447445
2021-09-28 21:22:47.339794 : Epoch  3, Batch    501, Loss  0.859258, Average Loss  0.871998, Time  0.444870
2021-09-28 21:22:53.271378 : Epoch  3, Batch    502, Loss  0.871948, Average Loss  0.872054, Time  0.448037
2021-09-28 21:22:59.209080 : Epoch  3, Batch    503, Loss  0.867221, Average Loss  0.872021, Time  0.445239
2021-09-28 21:23:05.185771 : Epoch  3, Batch    504, Loss  0.861533, Average Loss  0.872048, Time  0.456197
2021-09-28 21:23:11.134480 : Epoch  3, Batch    505, Loss  0.890656, Average Loss  0.872150, Time  0.444893
2021-09-28 21:23:17.095032 : Epoch  3, Batch    506, Loss  0.875703, Average Loss  0.872138, Time  0.446931
2021-09-28 21:23:23.047086 : Epoch  3, Batch    507, Loss  0.862088, Average Loss  0.872067, Time  0.449476
2021-09-28 21:23:28.971825 : Epoch  3, Batch    508, Loss  0.862848, Average Loss  0.872063, Time  0.445641
2021-09-28 21:23:34.924756 : Epoch  3, Batch    509, Loss  0.867076, Average Loss  0.872017, Time  0.444800
2021-09-28 21:23:40.864009 : Epoch  3, Batch    510, Loss  0.868167, Average Loss  0.872067, Time  0.444385
2021-09-28 21:23:46.796815 : Epoch  3, Batch    511, Loss  0.872588, Average Loss  0.872083, Time  0.446918
2021-09-28 21:23:52.743382 : Epoch  3, Batch    512, Loss  0.879973, Average Loss  0.872136, Time  0.457642
2021-09-28 21:23:58.685790 : Epoch  3, Batch    513, Loss  0.871098, Average Loss  0.872175, Time  0.445875
2021-09-28 21:24:04.638984 : Epoch  3, Batch    514, Loss  0.871713, Average Loss  0.872179, Time  0.444436
2021-09-28 21:24:10.589548 : Epoch  3, Batch    515, Loss  0.873431, Average Loss  0.872242, Time  0.445045
2021-09-28 21:24:16.535851 : Epoch  3, Batch    516, Loss  0.860611, Average Loss  0.872132, Time  0.445801
2021-09-28 21:24:22.484668 : Epoch  3, Batch    517, Loss  0.856585, Average Loss  0.871943, Time  0.445708
2021-09-28 21:24:28.437105 : Epoch  3, Batch    518, Loss  0.890624, Average Loss  0.872066, Time  0.445807
2021-09-28 21:24:34.392754 : Epoch  3, Batch    519, Loss  0.864350, Average Loss  0.872080, Time  0.453722
2021-09-28 21:24:40.336963 : Epoch  3, Batch    520, Loss  0.854504, Average Loss  0.871997, Time  0.445092
2021-09-28 21:24:46.288434 : Epoch  3, Batch    521, Loss  0.878528, Average Loss  0.872051, Time  0.446402
2021-09-28 21:24:52.219019 : Epoch  3, Batch    522, Loss  0.858393, Average Loss  0.872032, Time  0.447472
2021-09-28 21:24:58.163776 : Epoch  3, Batch    523, Loss  0.875104, Average Loss  0.872067, Time  0.444650
2021-09-28 21:25:04.111423 : Epoch  3, Batch    524, Loss  0.861970, Average Loss  0.871968, Time  0.445373
2021-09-28 21:25:10.038434 : Epoch  3, Batch    525, Loss  0.886629, Average Loss  0.872068, Time  0.445853
2021-09-28 21:25:15.990827 : Epoch  3, Batch    526, Loss  0.878938, Average Loss  0.872088, Time  0.445866
2021-09-28 21:25:21.957604 : Epoch  3, Batch    527, Loss  0.865611, Average Loss  0.872025, Time  0.461864
2021-09-28 21:25:27.883180 : Epoch  3, Batch    528, Loss  0.879373, Average Loss  0.872071, Time  0.446381
2021-09-28 21:25:33.820793 : Epoch  3, Batch    529, Loss  0.876238, Average Loss  0.872095, Time  0.445574
2021-09-28 21:25:39.774133 : Epoch  3, Batch    530, Loss  0.867796, Average Loss  0.872091, Time  0.445112
2021-09-28 21:25:45.720210 : Epoch  3, Batch    531, Loss  0.867004, Average Loss  0.872095, Time  0.445233
2021-09-28 21:25:51.639949 : Epoch  3, Batch    532, Loss  0.869767, Average Loss  0.872123, Time  0.446829
2021-09-28 21:25:57.591392 : Epoch  3, Batch    533, Loss  0.859207, Average Loss  0.872019, Time  0.446931
2021-09-28 21:26:03.528706 : Epoch  3, Batch    534, Loss  0.872142, Average Loss  0.872060, Time  0.445334
2021-09-28 21:26:09.482349 : Epoch  3, Batch    535, Loss  0.874439, Average Loss  0.872023, Time  0.454044
2021-09-28 21:26:15.424777 : Epoch  3, Batch    536, Loss  0.861303, Average Loss  0.871960, Time  0.447085
2021-09-28 21:26:21.375910 : Epoch  3, Batch    537, Loss  0.876508, Average Loss  0.872014, Time  0.446404
2021-09-28 21:26:27.310922 : Epoch  3, Batch    538, Loss  0.872353, Average Loss  0.872017, Time  0.445475
2021-09-28 21:26:33.250686 : Epoch  3, Batch    539, Loss  0.875867, Average Loss  0.871961, Time  0.448651
2021-09-28 21:26:39.189296 : Epoch  3, Batch    540, Loss  0.871733, Average Loss  0.871959, Time  0.447620
2021-09-28 21:26:45.123023 : Epoch  3, Batch    541, Loss  0.896996, Average Loss  0.872105, Time  0.444980
2021-09-28 21:26:51.065865 : Epoch  3, Batch    542, Loss  0.854294, Average Loss  0.872041, Time  0.443966
2021-09-28 21:26:57.021160 : Epoch  3, Batch    543, Loss  0.887770, Average Loss  0.872072, Time  0.459855
2021-09-28 21:27:02.947970 : Epoch  3, Batch    544, Loss  0.879058, Average Loss  0.872128, Time  0.445118
2021-09-28 21:31:42.396748 : CheckPoint: Validation Loss  0.00015356, Best Loss  0.00015047
2021-09-28 21:31:48.376955 : Epoch  3, Batch    545, Loss  0.878294, Average Loss  0.872189, Time  0.445611
2021-09-28 21:31:54.334403 : Epoch  3, Batch    546, Loss  0.878912, Average Loss  0.872230, Time  0.448501
2021-09-28 21:32:00.299803 : Epoch  3, Batch    547, Loss  0.868802, Average Loss  0.872169, Time  0.445020
2021-09-28 21:32:06.221813 : Epoch  3, Batch    548, Loss  0.870878, Average Loss  0.872185, Time  0.446677
2021-09-28 21:32:12.165114 : Epoch  3, Batch    549, Loss  0.871101, Average Loss  0.872230, Time  0.445210
2021-09-28 21:32:18.120052 : Epoch  3, Batch    550, Loss  0.875289, Average Loss  0.872346, Time  0.459533
2021-09-28 21:32:24.049999 : Epoch  3, Batch    551, Loss  0.865636, Average Loss  0.872365, Time  0.445741
2021-09-28 21:32:30.000985 : Epoch  3, Batch    552, Loss  0.870349, Average Loss  0.872401, Time  0.445998
2021-09-28 21:32:35.962209 : Epoch  3, Batch    553, Loss  0.874229, Average Loss  0.872412, Time  0.448594
2021-09-28 21:32:41.924057 : Epoch  3, Batch    554, Loss  0.867025, Average Loss  0.872341, Time  0.449346
2021-09-28 21:32:47.891880 : Epoch  3, Batch    555, Loss  0.882589, Average Loss  0.872332, Time  0.444089
2021-09-28 21:32:53.855939 : Epoch  3, Batch    556, Loss  0.882556, Average Loss  0.872353, Time  0.448398
2021-09-28 21:32:59.810413 : Epoch  3, Batch    557, Loss  0.866619, Average Loss  0.872309, Time  0.445827
2021-09-28 21:33:05.771950 : Epoch  3, Batch    558, Loss  0.875987, Average Loss  0.872300, Time  0.457641
2021-09-28 21:33:11.728747 : Epoch  3, Batch    559, Loss  0.868858, Average Loss  0.872346, Time  0.444599
2021-09-28 21:33:17.679499 : Epoch  3, Batch    560, Loss  0.861404, Average Loss  0.872318, Time  0.446051
2021-09-28 21:33:23.629232 : Epoch  3, Batch    561, Loss  0.879716, Average Loss  0.872349, Time  0.444394
2021-09-28 21:33:29.570928 : Epoch  3, Batch    562, Loss  0.855248, Average Loss  0.872255, Time  0.445685
2021-09-28 21:33:35.528778 : Epoch  3, Batch    563, Loss  0.881813, Average Loss  0.872338, Time  0.445110
2021-09-28 21:33:41.475760 : Epoch  3, Batch    564, Loss  0.874732, Average Loss  0.872345, Time  0.445237
2021-09-28 21:33:47.451574 : Epoch  3, Batch    565, Loss  0.870877, Average Loss  0.872342, Time  0.466257
2021-09-28 21:33:53.412915 : Epoch  3, Batch    566, Loss  0.883569, Average Loss  0.872414, Time  0.447268
2021-09-28 21:33:59.372035 : Epoch  3, Batch    567, Loss  0.863601, Average Loss  0.872374, Time  0.446489
2021-09-28 21:34:05.343794 : Epoch  3, Batch    568, Loss  0.867554, Average Loss  0.872370, Time  0.446645
2021-09-28 21:34:11.306785 : Epoch  3, Batch    569, Loss  0.876752, Average Loss  0.872395, Time  0.444368
2021-09-28 21:34:17.253045 : Epoch  3, Batch    570, Loss  0.873553, Average Loss  0.872389, Time  0.444877
2021-09-28 21:34:23.223776 : Epoch  3, Batch    571, Loss  0.862533, Average Loss  0.872251, Time  0.445693
2021-09-28 21:34:29.174749 : Epoch  3, Batch    572, Loss  0.863924, Average Loss  0.872199, Time  0.450202
2021-09-28 21:34:35.130453 : Epoch  3, Batch    573, Loss  0.865151, Average Loss  0.872100, Time  0.458903
2021-09-28 21:34:41.079240 : Epoch  3, Batch    574, Loss  0.870680, Average Loss  0.872098, Time  0.445244
2021-09-28 21:34:47.027073 : Epoch  3, Batch    575, Loss  0.871279, Average Loss  0.872101, Time  0.446633
2021-09-28 21:34:52.969685 : Epoch  3, Batch    576, Loss  0.869884, Average Loss  0.872078, Time  0.446857
2021-09-28 21:34:58.950877 : Epoch  3, Batch    577, Loss  0.876510, Average Loss  0.872109, Time  0.445162
2021-09-28 21:35:04.908315 : Epoch  3, Batch    578, Loss  0.867387, Average Loss  0.872111, Time  0.444253
2021-09-28 21:35:10.844225 : Epoch  3, Batch    579, Loss  0.860357, Average Loss  0.871977, Time  0.444335
2021-09-28 21:35:16.794678 : Epoch  3, Batch    580, Loss  0.869429, Average Loss  0.871925, Time  0.444334
2021-09-28 21:35:22.764649 : Epoch  3, Batch    581, Loss  0.858186, Average Loss  0.871859, Time  0.457828
2021-09-28 21:35:28.714852 : Epoch  3, Batch    582, Loss  0.867533, Average Loss  0.871822, Time  0.447525
2021-09-28 21:35:34.676079 : Epoch  3, Batch    583, Loss  0.859715, Average Loss  0.871701, Time  0.448780
2021-09-28 21:35:40.625595 : Epoch  3, Batch    584, Loss  0.864864, Average Loss  0.871720, Time  0.444947
2021-09-28 21:35:46.578782 : Epoch  3, Batch    585, Loss  0.872352, Average Loss  0.871732, Time  0.444889
2021-09-28 21:35:52.527667 : Epoch  3, Batch    586, Loss  0.865263, Average Loss  0.871659, Time  0.446709
2021-09-28 21:35:58.482718 : Epoch  3, Batch    587, Loss  0.879463, Average Loss  0.871673, Time  0.445928
2021-09-28 21:36:04.450075 : Epoch  3, Batch    588, Loss  0.867666, Average Loss  0.871625, Time  0.457214
2021-09-28 21:36:10.419883 : Epoch  3, Batch    589, Loss  0.851323, Average Loss  0.871535, Time  0.447564
2021-09-28 21:36:16.375780 : Epoch  3, Batch    590, Loss  0.879980, Average Loss  0.871622, Time  0.444371
2021-09-28 21:36:22.324800 : Epoch  3, Batch    591, Loss  0.874894, Average Loss  0.871640, Time  0.444278
2021-09-28 21:36:28.279913 : Epoch  3, Batch    592, Loss  0.869593, Average Loss  0.871631, Time  0.446894
2021-09-28 21:36:34.233514 : Epoch  3, Batch    593, Loss  0.869546, Average Loss  0.871634, Time  0.445624
2021-09-28 21:36:40.188358 : Epoch  3, Batch    594, Loss  0.876154, Average Loss  0.871572, Time  0.444397
2021-09-28 21:36:46.137115 : Epoch  3, Batch    595, Loss  0.859385, Average Loss  0.871456, Time  0.445554
2021-09-28 21:36:52.111326 : Epoch  3, Batch    596, Loss  0.866555, Average Loss  0.871478, Time  0.461495
2021-09-28 21:36:58.052433 : Epoch  3, Batch    597, Loss  0.866159, Average Loss  0.871303, Time  0.446527
2021-09-28 21:37:03.992377 : Epoch  3, Batch    598, Loss  0.883293, Average Loss  0.871280, Time  0.445543
2021-09-28 21:37:09.957596 : Epoch  3, Batch    599, Loss  0.871707, Average Loss  0.871336, Time  0.447081
2021-09-28 21:37:15.915493 : Epoch  3, Batch    600, Loss  0.881285, Average Loss  0.871356, Time  0.446224
2021-09-28 21:37:21.875929 : Epoch  3, Batch    601, Loss  0.866009, Average Loss  0.871305, Time  0.448012
2021-09-28 21:37:27.825138 : Epoch  3, Batch    602, Loss  0.870109, Average Loss  0.871265, Time  0.445443
2021-09-28 21:37:33.788120 : Epoch  3, Batch    603, Loss  0.867939, Average Loss  0.871247, Time  0.444708
2021-09-28 21:37:39.750842 : Epoch  3, Batch    604, Loss  0.858225, Average Loss  0.871107, Time  0.460003
2021-09-28 21:37:45.718467 : Epoch  3, Batch    605, Loss  0.879400, Average Loss  0.871094, Time  0.448883
2021-09-28 21:37:51.682551 : Epoch  3, Batch    606, Loss  0.870168, Average Loss  0.871140, Time  0.446536
2021-09-28 21:37:57.643394 : Epoch  3, Batch    607, Loss  0.863870, Average Loss  0.871064, Time  0.447748
2021-09-28 21:38:03.604847 : Epoch  3, Batch    608, Loss  0.885279, Average Loss  0.871100, Time  0.445510
2021-09-28 21:38:09.572822 : Epoch  3, Batch    609, Loss  0.870934, Average Loss  0.871081, Time  0.445926
2021-09-28 21:38:15.530241 : Epoch  3, Batch    610, Loss  0.861231, Average Loss  0.870968, Time  0.445388
2021-09-28 21:38:21.491140 : Epoch  3, Batch    611, Loss  0.851194, Average Loss  0.870849, Time  0.451676
2021-09-28 21:38:27.423444 : Epoch  3, Batch    612, Loss  0.873922, Average Loss  0.870830, Time  0.447235
2021-09-28 21:38:33.381298 : Epoch  3, Batch    613, Loss  0.874977, Average Loss  0.870862, Time  0.445914
2021-09-28 21:38:39.327156 : Epoch  3, Batch    614, Loss  0.855146, Average Loss  0.870779, Time  0.447106
2021-09-28 21:38:45.299248 : Epoch  3, Batch    615, Loss  0.870068, Average Loss  0.870742, Time  0.448098
2021-09-28 21:38:51.265142 : Epoch  3, Batch    616, Loss  0.869932, Average Loss  0.870695, Time  0.444915
2021-09-28 21:38:57.207196 : Epoch  3, Batch    617, Loss  0.886119, Average Loss  0.870775, Time  0.448615
2021-09-28 21:39:03.167283 : Epoch  3, Batch    618, Loss  0.877664, Average Loss  0.870721, Time  0.447121
2021-09-28 21:39:09.139306 : Epoch  3, Batch    619, Loss  0.870304, Average Loss  0.870749, Time  0.464567
2021-09-28 21:39:15.087848 : Epoch  3, Batch    620, Loss  0.886586, Average Loss  0.870862, Time  0.451415
2021-09-28 21:39:21.053578 : Epoch  3, Batch    621, Loss  0.872053, Average Loss  0.870836, Time  0.446026
2021-09-28 21:39:27.027134 : Epoch  3, Batch    622, Loss  0.879418, Average Loss  0.870853, Time  0.444267
2021-09-28 21:39:32.972820 : Epoch  3, Batch    623, Loss  0.885350, Average Loss  0.870973, Time  0.445144
2021-09-28 21:39:38.936259 : Epoch  3, Batch    624, Loss  0.889725, Average Loss  0.871101, Time  0.444699
2021-09-28 21:39:44.893164 : Epoch  3, Batch    625, Loss  0.871513, Average Loss  0.871102, Time  0.445064
2021-09-28 21:39:50.860201 : Epoch  3, Batch    626, Loss  0.874197, Average Loss  0.871104, Time  0.444830
2021-09-28 21:39:56.831345 : Epoch  3, Batch    627, Loss  0.883025, Average Loss  0.871148, Time  0.460681
2021-09-28 21:40:02.779882 : Epoch  3, Batch    628, Loss  0.867452, Average Loss  0.871196, Time  0.448287
2021-09-28 21:40:08.729540 : Epoch  3, Batch    629, Loss  0.868954, Average Loss  0.871133, Time  0.446203
2021-09-28 21:40:14.668581 : Epoch  3, Batch    630, Loss  0.863030, Average Loss  0.871103, Time  0.446276
2021-09-28 21:40:19.032146 : Epoch  3, Batch    631, Loss  0.884074, Average Loss  0.871160, Time  0.346000
2021-09-28 21:40:24.988056 : Epoch  3, Batch    632, Loss  0.873606, Average Loss  0.871229, Time  0.446234
2021-09-28 21:40:30.947107 : Epoch  3, Batch    633, Loss  0.864453, Average Loss  0.871151, Time  0.444101
2021-09-28 21:40:36.901577 : Epoch  3, Batch    634, Loss  0.864006, Average Loss  0.871086, Time  0.446203
2021-09-28 21:40:42.847787 : Epoch  3, Batch    635, Loss  0.863048, Average Loss  0.871045, Time  0.453528
2021-09-28 21:40:48.811785 : Epoch  3, Batch    636, Loss  0.857804, Average Loss  0.871018, Time  0.446557
2021-09-28 21:40:54.784597 : Epoch  3, Batch    637, Loss  0.876461, Average Loss  0.871089, Time  0.448183
2021-09-28 21:41:00.744233 : Epoch  3, Batch    638, Loss  0.879303, Average Loss  0.871138, Time  0.445228
2021-09-28 21:41:06.703503 : Epoch  3, Batch    639, Loss  0.870024, Average Loss  0.871218, Time  0.445138
2021-09-28 21:41:12.679266 : Epoch  3, Batch    640, Loss  0.883952, Average Loss  0.871324, Time  0.446120
2021-09-28 21:41:18.645671 : Epoch  3, Batch    641, Loss  0.870114, Average Loss  0.871323, Time  0.444871
2021-09-28 21:41:24.613517 : Epoch  3, Batch    642, Loss  0.880273, Average Loss  0.871421, Time  0.455526
2021-09-28 21:41:30.567227 : Epoch  3, Batch    643, Loss  0.869201, Average Loss  0.871326, Time  0.444504
2021-09-28 21:41:36.525840 : Epoch  3, Batch    644, Loss  0.869093, Average Loss  0.871300, Time  0.445599
2021-09-28 21:46:14.792623 : CheckPoint: Validation Loss  0.00015046, Best Loss  0.00015046
2021-09-28 21:46:14.828079 : Best Model Updated
2021-09-28 21:46:21.493411 : Epoch  3, Batch    645, Loss  0.886677, Average Loss  0.871405, Time  0.446295
2021-09-28 21:46:27.446066 : Epoch  3, Batch    646, Loss  0.867807, Average Loss  0.871375, Time  0.444742
2021-09-28 21:46:33.401255 : Epoch  3, Batch    647, Loss  0.875809, Average Loss  0.871388, Time  0.447932
2021-09-28 21:46:39.363542 : Epoch  3, Batch    648, Loss  0.861489, Average Loss  0.871385, Time  0.447009
2021-09-28 21:46:45.326389 : Epoch  3, Batch    649, Loss  0.884455, Average Loss  0.871496, Time  0.457452
2021-09-28 21:46:51.287450 : Epoch  3, Batch    650, Loss  0.874870, Average Loss  0.871490, Time  0.444363
2021-09-28 21:46:57.247752 : Epoch  3, Batch    651, Loss  0.881723, Average Loss  0.871542, Time  0.443931
2021-09-28 21:47:03.195683 : Epoch  3, Batch    652, Loss  0.858324, Average Loss  0.871483, Time  0.444350
2021-09-28 21:47:09.150745 : Epoch  3, Batch    653, Loss  0.873325, Average Loss  0.871566, Time  0.445696
2021-09-28 21:47:15.101891 : Epoch  3, Batch    654, Loss  0.885513, Average Loss  0.871661, Time  0.447178
2021-09-28 21:47:21.040612 : Epoch  3, Batch    655, Loss  0.870469, Average Loss  0.871618, Time  0.443999
2021-09-28 21:47:26.987542 : Epoch  3, Batch    656, Loss  0.879295, Average Loss  0.871695, Time  0.446957
2021-09-28 21:47:32.948608 : Epoch  3, Batch    657, Loss  0.870571, Average Loss  0.871758, Time  0.455886
2021-09-28 21:47:38.897196 : Epoch  3, Batch    658, Loss  0.885464, Average Loss  0.871814, Time  0.446810
2021-09-28 21:47:44.840301 : Epoch  3, Batch    659, Loss  0.876992, Average Loss  0.871888, Time  0.445527
2021-09-28 21:47:50.784546 : Epoch  3, Batch    660, Loss  0.877618, Average Loss  0.871937, Time  0.446815
2021-09-28 21:47:56.708534 : Epoch  3, Batch    661, Loss  0.877398, Average Loss  0.871978, Time  0.446490
2021-09-28 21:48:02.651452 : Epoch  3, Batch    662, Loss  0.866988, Average Loss  0.871923, Time  0.444256
2021-09-28 21:48:08.596934 : Epoch  3, Batch    663, Loss  0.871100, Average Loss  0.871874, Time  0.444819
2021-09-28 21:48:14.534930 : Epoch  3, Batch    664, Loss  0.875384, Average Loss  0.871919, Time  0.456334
2021-09-28 21:48:20.495793 : Epoch  3, Batch    665, Loss  0.878948, Average Loss  0.871930, Time  0.446405
2021-09-28 21:48:26.438624 : Epoch  3, Batch    666, Loss  0.876481, Average Loss  0.871988, Time  0.444477
2021-09-28 21:48:32.386771 : Epoch  3, Batch    667, Loss  0.861416, Average Loss  0.871877, Time  0.444823
2021-09-28 21:48:38.330342 : Epoch  3, Batch    668, Loss  0.885237, Average Loss  0.871935, Time  0.446910
2021-09-28 21:48:44.276111 : Epoch  3, Batch    669, Loss  0.871910, Average Loss  0.871889, Time  0.446176
2021-09-28 21:48:50.233480 : Epoch  3, Batch    670, Loss  0.848516, Average Loss  0.871723, Time  0.444785
2021-09-28 21:48:56.189865 : Epoch  3, Batch    671, Loss  0.861389, Average Loss  0.871659, Time  0.444942
2021-09-28 21:49:02.162386 : Epoch  3, Batch    672, Loss  0.875342, Average Loss  0.871638, Time  0.458462
2021-09-28 21:49:08.119385 : Epoch  3, Batch    673, Loss  0.879057, Average Loss  0.871592, Time  0.444307
2021-09-28 21:49:14.083351 : Epoch  3, Batch    674, Loss  0.870772, Average Loss  0.871549, Time  0.445652
2021-09-28 21:49:20.021907 : Epoch  3, Batch    675, Loss  0.866039, Average Loss  0.871505, Time  0.446601
2021-09-28 21:49:25.993757 : Epoch  3, Batch    676, Loss  0.864532, Average Loss  0.871320, Time  0.446995
2021-09-28 21:49:31.945754 : Epoch  3, Batch    677, Loss  0.866955, Average Loss  0.871353, Time  0.444408
2021-09-28 21:49:37.905312 : Epoch  3, Batch    678, Loss  0.868501, Average Loss  0.871342, Time  0.445719
2021-09-28 21:49:43.862377 : Epoch  3, Batch    679, Loss  0.881550, Average Loss  0.871435, Time  0.445545
2021-09-28 21:49:49.817937 : Epoch  3, Batch    680, Loss  0.862189, Average Loss  0.871442, Time  0.458509
2021-09-28 21:49:55.762307 : Epoch  3, Batch    681, Loss  0.879066, Average Loss  0.871474, Time  0.446803
2021-09-28 21:50:01.719837 : Epoch  3, Batch    682, Loss  0.859094, Average Loss  0.871357, Time  0.449555
2021-09-28 21:50:07.683340 : Epoch  3, Batch    683, Loss  0.876821, Average Loss  0.871418, Time  0.445589
2021-09-28 21:50:13.639628 : Epoch  3, Batch    684, Loss  0.888118, Average Loss  0.871491, Time  0.444957
2021-09-28 21:50:19.573910 : Epoch  3, Batch    685, Loss  0.866729, Average Loss  0.871445, Time  0.445357
2021-09-28 21:50:25.519995 : Epoch  3, Batch    686, Loss  0.885156, Average Loss  0.871564, Time  0.446187
2021-09-28 21:50:31.468775 : Epoch  3, Batch    687, Loss  0.874541, Average Loss  0.871611, Time  0.451030
2021-09-28 21:50:37.420734 : Epoch  3, Batch    688, Loss  0.851907, Average Loss  0.871458, Time  0.448477
2021-09-28 21:50:43.350775 : Epoch  3, Batch    689, Loss  0.850810, Average Loss  0.871409, Time  0.444717
2021-09-28 21:50:49.292578 : Epoch  3, Batch    690, Loss  0.863694, Average Loss  0.871360, Time  0.445711
2021-09-28 21:50:55.214141 : Epoch  3, Batch    691, Loss  0.867768, Average Loss  0.871291, Time  0.444388
2021-09-28 21:51:01.163338 : Epoch  3, Batch    692, Loss  0.878149, Average Loss  0.871391, Time  0.446075
2021-09-28 21:51:07.116476 : Epoch  3, Batch    693, Loss  0.886612, Average Loss  0.871509, Time  0.445931
2021-09-28 21:51:13.072643 : Epoch  3, Batch    694, Loss  0.886555, Average Loss  0.871564, Time  0.443973
2021-09-28 21:51:19.018380 : Epoch  3, Batch    695, Loss  0.874302, Average Loss  0.871553, Time  0.456512
2021-09-28 21:51:24.968519 : Epoch  3, Batch    696, Loss  0.866633, Average Loss  0.871534, Time  0.444605
2021-09-28 21:51:30.899253 : Epoch  3, Batch    697, Loss  0.877901, Average Loss  0.871594, Time  0.444306
2021-09-28 21:51:36.840383 : Epoch  3, Batch    698, Loss  0.860609, Average Loss  0.871515, Time  0.444782
2021-09-28 21:51:42.801422 : Epoch  3, Batch    699, Loss  0.872656, Average Loss  0.871529, Time  0.448802
2021-09-28 21:51:48.759828 : Epoch  3, Batch    700, Loss  0.866445, Average Loss  0.871499, Time  0.444219
2021-09-28 21:51:54.687607 : Epoch  3, Batch    701, Loss  0.870432, Average Loss  0.871555, Time  0.444212
2021-09-28 21:52:00.638152 : Epoch  3, Batch    702, Loss  0.878463, Average Loss  0.871588, Time  0.445056
2021-09-28 21:52:06.595990 : Epoch  3, Batch    703, Loss  0.896510, Average Loss  0.871734, Time  0.460751
2021-09-28 21:52:12.539727 : Epoch  3, Batch    704, Loss  0.865982, Average Loss  0.871756, Time  0.447855
2021-09-28 21:52:18.489679 : Epoch  3, Batch    705, Loss  0.878267, Average Loss  0.871695, Time  0.444845
2021-09-28 21:52:24.443370 : Epoch  3, Batch    706, Loss  0.890773, Average Loss  0.871770, Time  0.446176
2021-09-28 21:52:30.394344 : Epoch  3, Batch    707, Loss  0.867679, Average Loss  0.871798, Time  0.444662
2021-09-28 21:52:36.332946 : Epoch  3, Batch    708, Loss  0.872992, Average Loss  0.871849, Time  0.446763
2021-09-28 21:52:42.269772 : Epoch  3, Batch    709, Loss  0.863197, Average Loss  0.871829, Time  0.447066
2021-09-28 21:52:48.218082 : Epoch  3, Batch    710, Loss  0.868120, Average Loss  0.871829, Time  0.446410
2021-09-28 21:52:54.175796 : Epoch  3, Batch    711, Loss  0.861015, Average Loss  0.871771, Time  0.454368
2021-09-28 21:53:00.126799 : Epoch  3, Batch    712, Loss  0.865807, Average Loss  0.871700, Time  0.445421
2021-09-28 21:53:06.070655 : Epoch  3, Batch    713, Loss  0.869931, Average Loss  0.871694, Time  0.444315
2021-09-28 21:53:12.017190 : Epoch  3, Batch    714, Loss  0.876919, Average Loss  0.871720, Time  0.446944
2021-09-28 21:53:17.968069 : Epoch  3, Batch    715, Loss  0.871645, Average Loss  0.871711, Time  0.447517
2021-09-28 21:53:23.915772 : Epoch  3, Batch    716, Loss  0.875004, Average Loss  0.871783, Time  0.445698
2021-09-28 21:53:29.862299 : Epoch  3, Batch    717, Loss  0.869136, Average Loss  0.871846, Time  0.448383
2021-09-28 21:53:35.802107 : Epoch  3, Batch    718, Loss  0.875540, Average Loss  0.871771, Time  0.445696
2021-09-28 21:53:41.758197 : Epoch  3, Batch    719, Loss  0.874554, Average Loss  0.871822, Time  0.459058
2021-09-28 21:53:47.689782 : Epoch  3, Batch    720, Loss  0.884568, Average Loss  0.871972, Time  0.448172
2021-09-28 21:53:53.615769 : Epoch  3, Batch    721, Loss  0.880789, Average Loss  0.871983, Time  0.444947
2021-09-28 21:53:59.555860 : Epoch  3, Batch    722, Loss  0.875955, Average Loss  0.872071, Time  0.446085
2021-09-28 21:54:05.505400 : Epoch  3, Batch    723, Loss  0.883251, Average Loss  0.872112, Time  0.444860
2021-09-28 21:54:11.449388 : Epoch  3, Batch    724, Loss  0.866068, Average Loss  0.872132, Time  0.452731
2021-09-28 21:54:17.395094 : Epoch  3, Batch    725, Loss  0.866185, Average Loss  0.872030, Time  0.444771
2021-09-28 21:54:23.355963 : Epoch  3, Batch    726, Loss  0.870603, Average Loss  0.871989, Time  0.459481
2021-09-28 21:54:29.296885 : Epoch  3, Batch    727, Loss  0.876101, Average Loss  0.872041, Time  0.446928
2021-09-28 21:54:35.257765 : Epoch  3, Batch    728, Loss  0.882953, Average Loss  0.872059, Time  0.446298
2021-09-28 21:54:41.205038 : Epoch  3, Batch    729, Loss  0.876034, Average Loss  0.872058, Time  0.445714
2021-09-28 21:54:47.166006 : Epoch  3, Batch    730, Loss  0.893176, Average Loss  0.872185, Time  0.447297
2021-09-28 21:54:53.112434 : Epoch  3, Batch    731, Loss  0.888698, Average Loss  0.872293, Time  0.446042
2021-09-28 21:54:59.066056 : Epoch  3, Batch    732, Loss  0.877575, Average Loss  0.872332, Time  0.444811
2021-09-28 21:55:05.018517 : Epoch  3, Batch    733, Loss  0.864904, Average Loss  0.872361, Time  0.445208
2021-09-28 21:55:10.993476 : Epoch  3, Batch    734, Loss  0.866280, Average Loss  0.872331, Time  0.458241
2021-09-28 21:55:16.935776 : Epoch  3, Batch    735, Loss  0.889892, Average Loss  0.872409, Time  0.445724
2021-09-28 21:55:22.880063 : Epoch  3, Batch    736, Loss  0.860538, Average Loss  0.872405, Time  0.447584
2021-09-28 21:55:28.847837 : Epoch  3, Batch    737, Loss  0.880278, Average Loss  0.872424, Time  0.444564
2021-09-28 21:55:34.816958 : Epoch  3, Batch    738, Loss  0.878955, Average Loss  0.872457, Time  0.447387
2021-09-28 21:55:40.773745 : Epoch  3, Batch    739, Loss  0.873968, Average Loss  0.872447, Time  0.445405
2021-09-28 21:55:46.729888 : Epoch  3, Batch    740, Loss  0.870559, Average Loss  0.872441, Time  0.446505
2021-09-28 21:55:52.670336 : Epoch  3, Batch    741, Loss  0.863378, Average Loss  0.872273, Time  0.444403
2021-09-28 21:55:58.636631 : Epoch  3, Batch    742, Loss  0.872709, Average Loss  0.872365, Time  0.456775
2021-09-28 21:56:04.574225 : Epoch  3, Batch    743, Loss  0.877395, Average Loss  0.872314, Time  0.445422
2021-09-28 21:56:10.511648 : Epoch  3, Batch    744, Loss  0.866564, Average Loss  0.872251, Time  0.448892
2021-09-28 22:00:48.544777 : CheckPoint: Validation Loss  0.00015301, Best Loss  0.00015046
2021-09-28 22:00:54.494729 : Epoch  3, Batch    745, Loss  0.866762, Average Loss  0.872193, Time  0.445506
2021-09-28 22:01:00.422154 : Epoch  3, Batch    746, Loss  0.860353, Average Loss  0.872101, Time  0.446881
2021-09-28 22:01:06.350768 : Epoch  3, Batch    747, Loss  0.872420, Average Loss  0.872119, Time  0.444886
2021-09-28 22:01:12.273312 : Epoch  3, Batch    748, Loss  0.872771, Average Loss  0.872128, Time  0.446971
2021-09-28 22:01:18.212157 : Epoch  3, Batch    749, Loss  0.889585, Average Loss  0.872221, Time  0.454665
2021-09-28 22:01:24.153468 : Epoch  3, Batch    750, Loss  0.878796, Average Loss  0.872238, Time  0.447164
2021-09-28 22:01:30.111577 : Epoch  3, Batch    751, Loss  0.875437, Average Loss  0.872287, Time  0.445771
2021-09-28 22:01:36.041368 : Epoch  3, Batch    752, Loss  0.871941, Average Loss  0.872295, Time  0.446354
2021-09-28 22:01:41.972466 : Epoch  3, Batch    753, Loss  0.871631, Average Loss  0.872282, Time  0.445231
2021-09-28 22:01:47.913522 : Epoch  3, Batch    754, Loss  0.871313, Average Loss  0.872304, Time  0.444988
2021-09-28 22:01:53.846560 : Epoch  3, Batch    755, Loss  0.869303, Average Loss  0.872237, Time  0.446416
2021-09-28 22:01:59.780136 : Epoch  3, Batch    756, Loss  0.869167, Average Loss  0.872170, Time  0.447708
2021-09-28 22:02:05.735078 : Epoch  3, Batch    757, Loss  0.867982, Average Loss  0.872177, Time  0.466480
2021-09-28 22:02:11.674123 : Epoch  3, Batch    758, Loss  0.884401, Average Loss  0.872219, Time  0.446263
2021-09-28 22:02:17.606184 : Epoch  3, Batch    759, Loss  0.884971, Average Loss  0.872300, Time  0.445887
2021-09-28 22:02:23.541689 : Epoch  3, Batch    760, Loss  0.866807, Average Loss  0.872327, Time  0.446249
2021-09-28 22:02:29.476920 : Epoch  3, Batch    761, Loss  0.855918, Average Loss  0.872208, Time  0.448197
2021-09-28 22:02:35.421835 : Epoch  3, Batch    762, Loss  0.879256, Average Loss  0.872328, Time  0.446585
2021-09-28 22:02:41.362479 : Epoch  3, Batch    763, Loss  0.865604, Average Loss  0.872247, Time  0.444524
2021-09-28 22:02:47.299307 : Epoch  3, Batch    764, Loss  0.862454, Average Loss  0.872185, Time  0.452733
2021-09-28 22:02:53.232759 : Epoch  3, Batch    765, Loss  0.863060, Average Loss  0.872146, Time  0.445417
2021-09-28 22:02:59.158149 : Epoch  3, Batch    766, Loss  0.859567, Average Loss  0.872026, Time  0.444728
2021-09-28 22:03:05.101820 : Epoch  3, Batch    767, Loss  0.857027, Average Loss  0.871993, Time  0.445920
2021-09-28 22:03:11.035562 : Epoch  3, Batch    768, Loss  0.872940, Average Loss  0.872020, Time  0.444484
2021-09-28 22:03:16.978760 : Epoch  3, Batch    769, Loss  0.858550, Average Loss  0.871929, Time  0.444255
2021-09-28 22:03:22.921738 : Epoch  3, Batch    770, Loss  0.871416, Average Loss  0.871919, Time  0.444380
2021-09-28 22:03:28.863836 : Epoch  3, Batch    771, Loss  0.868564, Average Loss  0.871949, Time  0.444978
2021-09-28 22:03:34.801254 : Epoch  3, Batch    772, Loss  0.867859, Average Loss  0.871968, Time  0.462694
2021-09-28 22:03:40.727665 : Epoch  3, Batch    773, Loss  0.871626, Average Loss  0.872001, Time  0.445280
2021-09-28 22:03:46.680789 : Epoch  3, Batch    774, Loss  0.859059, Average Loss  0.871943, Time  0.447295
2021-09-28 22:03:52.664436 : Epoch  3, Batch    775, Loss  0.861766, Average Loss  0.871895, Time  0.447513
2021-09-28 22:03:58.597903 : Epoch  3, Batch    776, Loss  0.873232, Average Loss  0.871912, Time  0.444213
2021-09-28 22:04:04.537933 : Epoch  3, Batch    777, Loss  0.866174, Average Loss  0.871860, Time  0.447947
2021-09-28 22:04:10.454518 : Epoch  3, Batch    778, Loss  0.867701, Average Loss  0.871862, Time  0.448614
2021-09-28 22:04:16.372009 : Epoch  3, Batch    779, Loss  0.873593, Average Loss  0.871928, Time  0.445415
2021-09-28 22:04:22.325117 : Epoch  3, Batch    780, Loss  0.870801, Average Loss  0.871935, Time  0.458637
2021-09-28 22:04:28.260031 : Epoch  3, Batch    781, Loss  0.881416, Average Loss  0.872051, Time  0.448569
2021-09-28 22:04:34.183099 : Epoch  3, Batch    782, Loss  0.872889, Average Loss  0.872078, Time  0.444440
2021-09-28 22:04:40.107616 : Epoch  3, Batch    783, Loss  0.856345, Average Loss  0.872061, Time  0.449826
2021-09-28 22:04:46.053532 : Epoch  3, Batch    784, Loss  0.865432, Average Loss  0.872064, Time  0.448258
2021-09-28 22:04:51.987762 : Epoch  3, Batch    785, Loss  0.873785, Average Loss  0.872071, Time  0.443773
2021-09-28 22:04:57.929831 : Epoch  3, Batch    786, Loss  0.864528, Average Loss  0.872067, Time  0.445732
2021-09-28 22:05:03.858055 : Epoch  3, Batch    787, Loss  0.871930, Average Loss  0.872029, Time  0.443994
2021-09-28 22:05:09.801071 : Epoch  3, Batch    788, Loss  0.855836, Average Loss  0.871970, Time  0.455884
2021-09-28 22:05:15.735818 : Epoch  3, Batch    789, Loss  0.868917, Average Loss  0.872058, Time  0.444509
2021-09-28 22:05:21.668030 : Epoch  3, Batch    790, Loss  0.864594, Average Loss  0.871981, Time  0.445678
2021-09-28 22:05:27.603394 : Epoch  3, Batch    791, Loss  0.871452, Average Loss  0.871964, Time  0.444688
2021-09-28 22:05:33.549721 : Epoch  3, Batch    792, Loss  0.859580, Average Loss  0.871914, Time  0.446141
2021-09-28 22:05:39.493851 : Epoch  3, Batch    793, Loss  0.874829, Average Loss  0.871940, Time  0.447066
2021-09-28 22:05:45.432835 : Epoch  3, Batch    794, Loss  0.866907, Average Loss  0.871894, Time  0.444641
2021-09-28 22:05:51.383507 : Epoch  3, Batch    795, Loss  0.866009, Average Loss  0.871927, Time  0.458874
2021-09-28 22:05:57.313839 : Epoch  3, Batch    796, Loss  0.868564, Average Loss  0.871937, Time  0.446775
2021-09-28 22:06:03.244932 : Epoch  3, Batch    797, Loss  0.848429, Average Loss  0.871849, Time  0.444808
2021-09-28 22:06:09.177930 : Epoch  3, Batch    798, Loss  0.877293, Average Loss  0.871819, Time  0.446005
2021-09-28 22:06:15.099714 : Epoch  3, Batch    799, Loss  0.861910, Average Loss  0.871770, Time  0.445444
2021-09-28 22:06:21.043401 : Epoch  3, Batch    800, Loss  0.842380, Average Loss  0.871575, Time  0.445239
2021-09-28 22:06:26.976432 : Epoch  3, Batch    801, Loss  0.888498, Average Loss  0.871688, Time  0.445403
2021-09-28 22:06:32.915457 : Epoch  3, Batch    802, Loss  0.876744, Average Loss  0.871721, Time  0.445090
2021-09-28 22:06:38.850776 : Epoch  3, Batch    803, Loss  0.867284, Average Loss  0.871718, Time  0.458069
2021-09-28 22:06:44.802278 : Epoch  3, Batch    804, Loss  0.874555, Average Loss  0.871799, Time  0.445583
2021-09-28 22:06:50.745172 : Epoch  3, Batch    805, Loss  0.860171, Average Loss  0.871703, Time  0.447047
2021-09-28 22:06:56.676532 : Epoch  3, Batch    806, Loss  0.863314, Average Loss  0.871669, Time  0.447011
2021-09-28 22:07:02.596336 : Epoch  3, Batch    807, Loss  0.885155, Average Loss  0.871775, Time  0.446023
2021-09-28 22:07:08.517776 : Epoch  3, Batch    808, Loss  0.867312, Average Loss  0.871685, Time  0.445709
2021-09-28 22:07:14.452761 : Epoch  3, Batch    809, Loss  0.883481, Average Loss  0.871748, Time  0.444277
2021-09-28 22:07:20.379946 : Epoch  3, Batch    810, Loss  0.875657, Average Loss  0.871820, Time  0.447579
2021-09-28 22:07:26.319657 : Epoch  3, Batch    811, Loss  0.872375, Average Loss  0.871926, Time  0.457489
2021-09-28 22:07:32.249761 : Epoch  3, Batch    812, Loss  0.877530, Average Loss  0.871944, Time  0.446296
2021-09-28 22:07:38.173850 : Epoch  3, Batch    813, Loss  0.877070, Average Loss  0.871955, Time  0.447699
2021-09-28 22:07:44.099311 : Epoch  3, Batch    814, Loss  0.883783, Average Loss  0.872098, Time  0.445371
2021-09-28 22:07:50.033297 : Epoch  3, Batch    815, Loss  0.863842, Average Loss  0.872067, Time  0.444905
2021-09-28 22:07:55.950251 : Epoch  3, Batch    816, Loss  0.855721, Average Loss  0.871996, Time  0.445320
2021-09-28 22:08:01.875192 : Epoch  3, Batch    817, Loss  0.878083, Average Loss  0.871956, Time  0.445038
2021-09-28 22:08:07.799280 : Epoch  3, Batch    818, Loss  0.866692, Average Loss  0.871901, Time  0.446804
2021-09-28 22:08:13.726598 : Epoch  3, Batch    819, Loss  0.866095, Average Loss  0.871880, Time  0.458800
2021-09-28 22:08:19.655314 : Epoch  3, Batch    820, Loss  0.872372, Average Loss  0.871809, Time  0.445484
2021-09-28 22:08:25.575876 : Epoch  3, Batch    821, Loss  0.869342, Average Loss  0.871795, Time  0.445658
2021-09-28 22:08:31.500428 : Epoch  3, Batch    822, Loss  0.857622, Average Loss  0.871686, Time  0.444671
2021-09-28 22:08:37.431816 : Epoch  3, Batch    823, Loss  0.869597, Average Loss  0.871607, Time  0.445196
2021-09-28 22:08:43.353281 : Epoch  3, Batch    824, Loss  0.862702, Average Loss  0.871472, Time  0.444505
2021-09-28 22:08:49.275292 : Epoch  3, Batch    825, Loss  0.870301, Average Loss  0.871466, Time  0.446993
2021-09-28 22:08:55.188917 : Epoch  3, Batch    826, Loss  0.877114, Average Loss  0.871481, Time  0.444420
2021-09-28 22:09:01.131911 : Epoch  3, Batch    827, Loss  0.866846, Average Loss  0.871400, Time  0.454896
2021-09-28 22:09:07.060734 : Epoch  3, Batch    828, Loss  0.868236, Average Loss  0.871404, Time  0.446994
2021-09-28 22:09:13.002761 : Epoch  3, Batch    829, Loss  0.885057, Average Loss  0.871484, Time  0.443947
2021-09-28 22:09:18.927457 : Epoch  3, Batch    830, Loss  0.866600, Average Loss  0.871502, Time  0.444088
2021-09-28 22:09:24.859884 : Epoch  3, Batch    831, Loss  0.874236, Average Loss  0.871453, Time  0.446615
2021-09-28 22:09:30.794277 : Epoch  3, Batch    832, Loss  0.876965, Average Loss  0.871470, Time  0.448281
2021-09-28 22:09:36.735813 : Epoch  3, Batch    833, Loss  0.868501, Average Loss  0.871490, Time  0.446584
2021-09-28 22:09:42.673257 : Epoch  3, Batch    834, Loss  0.878091, Average Loss  0.871560, Time  0.444140
2021-09-28 22:09:48.618427 : Epoch  3, Batch    835, Loss  0.880022, Average Loss  0.871645, Time  0.461389
2021-09-28 22:09:54.548223 : Epoch  3, Batch    836, Loss  0.875511, Average Loss  0.871734, Time  0.447281
2021-09-28 22:10:00.501852 : Epoch  3, Batch    837, Loss  0.846748, Average Loss  0.871585, Time  0.445492
2021-09-28 22:10:06.434198 : Epoch  3, Batch    838, Loss  0.871663, Average Loss  0.871547, Time  0.450974
2021-09-28 22:10:12.374396 : Epoch  3, Batch    839, Loss  0.862394, Average Loss  0.871509, Time  0.445520
2021-09-28 22:10:18.323798 : Epoch  3, Batch    840, Loss  0.874974, Average Loss  0.871464, Time  0.445945
2021-09-28 22:10:24.253873 : Epoch  3, Batch    841, Loss  0.871582, Average Loss  0.871471, Time  0.446257
2021-09-28 22:10:30.177714 : Epoch  3, Batch    842, Loss  0.885928, Average Loss  0.871500, Time  0.446137
2021-09-28 22:10:36.115514 : Epoch  3, Batch    843, Loss  0.859724, Average Loss  0.871452, Time  0.461111
2021-09-28 22:10:42.043307 : Epoch  3, Batch    844, Loss  0.870025, Average Loss  0.871457, Time  0.446512
2021-09-28 22:15:20.226568 : CheckPoint: Validation Loss  0.00014870, Best Loss  0.00014870
2021-09-28 22:15:20.268630 : Best Model Updated
2021-09-28 22:15:26.837710 : Epoch  3, Batch    845, Loss  0.887633, Average Loss  0.871462, Time  0.445438
2021-09-28 22:15:32.765690 : Epoch  3, Batch    846, Loss  0.864859, Average Loss  0.871447, Time  0.444296
2021-09-28 22:15:38.694876 : Epoch  3, Batch    847, Loss  0.857515, Average Loss  0.871355, Time  0.446220
2021-09-28 22:15:44.636099 : Epoch  3, Batch    848, Loss  0.856456, Average Loss  0.871330, Time  0.447900
2021-09-28 22:15:50.562643 : Epoch  3, Batch    849, Loss  0.872800, Average Loss  0.871272, Time  0.444479
2021-09-28 22:15:56.507827 : Epoch  3, Batch    850, Loss  0.874976, Average Loss  0.871272, Time  0.458777
2021-09-28 22:16:02.437980 : Epoch  3, Batch    851, Loss  0.879514, Average Loss  0.871261, Time  0.444569
2021-09-28 22:16:08.381956 : Epoch  3, Batch    852, Loss  0.888106, Average Loss  0.871410, Time  0.446273
2021-09-28 22:16:14.323440 : Epoch  3, Batch    853, Loss  0.880596, Average Loss  0.871447, Time  0.446250
2021-09-28 22:16:20.245262 : Epoch  3, Batch    854, Loss  0.878507, Average Loss  0.871412, Time  0.445408
2021-09-28 22:16:26.187361 : Epoch  3, Batch    855, Loss  0.890893, Average Loss  0.871514, Time  0.445985
2021-09-28 22:16:32.123195 : Epoch  3, Batch    856, Loss  0.896396, Average Loss  0.871599, Time  0.446139
2021-09-28 22:16:38.052793 : Epoch  3, Batch    857, Loss  0.862539, Average Loss  0.871559, Time  0.444492
2021-09-28 22:16:43.998346 : Epoch  3, Batch    858, Loss  0.867605, Average Loss  0.871470, Time  0.458858
2021-09-28 22:16:49.915741 : Epoch  3, Batch    859, Loss  0.871031, Average Loss  0.871440, Time  0.445277
2021-09-28 22:16:55.840834 : Epoch  3, Batch    860, Loss  0.869262, Average Loss  0.871398, Time  0.444338
2021-09-28 22:17:01.765000 : Epoch  3, Batch    861, Loss  0.867308, Average Loss  0.871348, Time  0.445729
2021-09-28 22:17:07.703767 : Epoch  3, Batch    862, Loss  0.870702, Average Loss  0.871366, Time  0.444942
2021-09-28 22:17:13.625227 : Epoch  3, Batch    863, Loss  0.869421, Average Loss  0.871358, Time  0.444593
2021-09-28 22:17:19.556735 : Epoch  3, Batch    864, Loss  0.870064, Average Loss  0.871331, Time  0.445966
2021-09-28 22:17:25.503409 : Epoch  3, Batch    865, Loss  0.869839, Average Loss  0.871286, Time  0.455700
2021-09-28 22:17:31.433527 : Epoch  3, Batch    866, Loss  0.867607, Average Loss  0.871241, Time  0.447730
2021-09-28 22:17:37.353786 : Epoch  3, Batch    867, Loss  0.865322, Average Loss  0.871261, Time  0.453374
2021-09-28 22:17:43.291325 : Epoch  3, Batch    868, Loss  0.880339, Average Loss  0.871236, Time  0.445989
2021-09-28 22:17:49.211190 : Epoch  3, Batch    869, Loss  0.853751, Average Loss  0.871146, Time  0.447380
2021-09-28 22:17:55.133905 : Epoch  3, Batch    870, Loss  0.872150, Average Loss  0.871264, Time  0.446429
2021-09-28 22:18:01.050607 : Epoch  3, Batch    871, Loss  0.882597, Average Loss  0.871370, Time  0.450363
2021-09-28 22:18:06.994225 : Epoch  3, Batch    872, Loss  0.873697, Average Loss  0.871362, Time  0.451174
2021-09-28 22:18:12.922969 : Epoch  3, Batch    873, Loss  0.874460, Average Loss  0.871339, Time  0.456239
2021-09-28 22:18:18.852139 : Epoch  3, Batch    874, Loss  0.874730, Average Loss  0.871358, Time  0.444464
2021-09-28 22:18:24.786861 : Epoch  3, Batch    875, Loss  0.854330, Average Loss  0.871300, Time  0.447367
2021-09-28 22:18:30.720297 : Epoch  3, Batch    876, Loss  0.888898, Average Loss  0.871422, Time  0.445550
2021-09-28 22:18:36.640741 : Epoch  3, Batch    877, Loss  0.862114, Average Loss  0.871398, Time  0.445486
2021-09-28 22:18:42.576108 : Epoch  3, Batch    878, Loss  0.883638, Average Loss  0.871473, Time  0.446800
2021-09-28 22:18:48.504827 : Epoch  3, Batch    879, Loss  0.869838, Average Loss  0.871415, Time  0.445930
2021-09-28 22:18:54.437321 : Epoch  3, Batch    880, Loss  0.861062, Average Loss  0.871409, Time  0.445488
2021-09-28 22:19:00.366374 : Epoch  3, Batch    881, Loss  0.870098, Average Loss  0.871364, Time  0.456805
2021-09-28 22:19:06.279784 : Epoch  3, Batch    882, Loss  0.880838, Average Loss  0.871473, Time  0.445905
2021-09-28 22:19:12.224282 : Epoch  3, Batch    883, Loss  0.864145, Average Loss  0.871410, Time  0.446582
2021-09-28 22:19:18.150752 : Epoch  3, Batch    884, Loss  0.866204, Average Loss  0.871300, Time  0.444660
2021-09-28 22:19:24.074303 : Epoch  3, Batch    885, Loss  0.879752, Average Loss  0.871365, Time  0.444087
2021-09-28 22:19:30.005740 : Epoch  3, Batch    886, Loss  0.864034, Average Loss  0.871259, Time  0.445247
2021-09-28 22:19:35.942577 : Epoch  3, Batch    887, Loss  0.883565, Average Loss  0.871305, Time  0.444128
2021-09-28 22:19:41.876549 : Epoch  3, Batch    888, Loss  0.872890, Average Loss  0.871410, Time  0.447525
2021-09-28 22:19:47.809619 : Epoch  3, Batch    889, Loss  0.850431, Average Loss  0.871408, Time  0.461738
2021-09-28 22:19:53.741776 : Epoch  3, Batch    890, Loss  0.880240, Average Loss  0.871490, Time  0.444345
2021-09-28 22:19:59.678302 : Epoch  3, Batch    891, Loss  0.870308, Average Loss  0.871503, Time  0.445626
2021-09-28 22:20:05.630855 : Epoch  3, Batch    892, Loss  0.863889, Average Loss  0.871432, Time  0.448868
2021-09-28 22:20:11.573947 : Epoch  3, Batch    893, Loss  0.883084, Average Loss  0.871414, Time  0.445744
2021-09-28 22:20:17.502314 : Epoch  3, Batch    894, Loss  0.887923, Average Loss  0.871421, Time  0.444687
2021-09-28 22:20:23.439513 : Epoch  3, Batch    895, Loss  0.864727, Average Loss  0.871373, Time  0.446852
2021-09-28 22:20:29.390984 : Epoch  3, Batch    896, Loss  0.874126, Average Loss  0.871411, Time  0.461625
2021-09-28 22:20:35.316299 : Epoch  3, Batch    897, Loss  0.859383, Average Loss  0.871318, Time  0.446063
2021-09-28 22:20:41.261030 : Epoch  3, Batch    898, Loss  0.885906, Average Loss  0.871444, Time  0.447773
2021-09-28 22:20:47.186395 : Epoch  3, Batch    899, Loss  0.879121, Average Loss  0.871477, Time  0.448609
2021-09-28 22:20:53.130783 : Epoch  3, Batch    900, Loss  0.878561, Average Loss  0.871537, Time  0.445154
2021-09-28 22:20:59.063167 : Epoch  3, Batch    901, Loss  0.867081, Average Loss  0.871521, Time  0.446197
2021-09-28 22:21:04.989269 : Epoch  3, Batch    902, Loss  0.882671, Average Loss  0.871542, Time  0.446914
2021-09-28 22:21:10.928147 : Epoch  3, Batch    903, Loss  0.883179, Average Loss  0.871475, Time  0.448104
2021-09-28 22:21:16.881169 : Epoch  3, Batch    904, Loss  0.865448, Average Loss  0.871472, Time  0.463128
2021-09-28 22:21:22.806841 : Epoch  3, Batch    905, Loss  0.866295, Average Loss  0.871412, Time  0.445013
2021-09-28 22:21:28.736602 : Epoch  3, Batch    906, Loss  0.862832, Average Loss  0.871273, Time  0.445386
2021-09-28 22:21:34.680173 : Epoch  3, Batch    907, Loss  0.881930, Average Loss  0.871344, Time  0.446678
2021-09-28 22:21:40.621359 : Epoch  3, Batch    908, Loss  0.874782, Average Loss  0.871353, Time  0.444324
2021-09-28 22:21:46.547774 : Epoch  3, Batch    909, Loss  0.874476, Average Loss  0.871409, Time  0.444683
2021-09-28 22:21:52.473664 : Epoch  3, Batch    910, Loss  0.861790, Average Loss  0.871378, Time  0.444130
2021-09-28 22:21:58.415118 : Epoch  3, Batch    911, Loss  0.873918, Average Loss  0.871442, Time  0.444319
2021-09-28 22:22:04.354059 : Epoch  3, Batch    912, Loss  0.887600, Average Loss  0.871551, Time  0.459766
2021-09-28 22:22:10.275272 : Epoch  3, Batch    913, Loss  0.862095, Average Loss  0.871512, Time  0.445800
2021-09-28 22:22:16.199016 : Epoch  3, Batch    914, Loss  0.864453, Average Loss  0.871450, Time  0.445084
2021-09-28 22:22:22.120829 : Epoch  3, Batch    915, Loss  0.879881, Average Loss  0.871491, Time  0.444800
2021-09-28 22:22:28.050153 : Epoch  3, Batch    916, Loss  0.882090, Average Loss  0.871526, Time  0.447284
2021-09-28 22:22:33.999909 : Epoch  3, Batch    917, Loss  0.851321, Average Loss  0.871437, Time  0.444952
2021-09-28 22:22:39.935877 : Epoch  3, Batch    918, Loss  0.885459, Average Loss  0.871487, Time  0.446027
2021-09-28 22:22:45.864170 : Epoch  3, Batch    919, Loss  0.878847, Average Loss  0.871508, Time  0.445297
2021-09-28 22:22:51.819855 : Epoch  3, Batch    920, Loss  0.863668, Average Loss  0.871404, Time  0.458735
2021-09-28 22:22:57.760639 : Epoch  3, Batch    921, Loss  0.871500, Average Loss  0.871357, Time  0.444986
2021-09-28 22:23:03.707321 : Epoch  3, Batch    922, Loss  0.886043, Average Loss  0.871408, Time  0.448466
2021-09-28 22:23:09.642720 : Epoch  3, Batch    923, Loss  0.863343, Average Loss  0.871308, Time  0.445485
2021-09-28 22:23:15.564595 : Epoch  3, Batch    924, Loss  0.875770, Average Loss  0.871357, Time  0.444766
2021-09-28 22:23:21.488431 : Epoch  3, Batch    925, Loss  0.869836, Average Loss  0.871375, Time  0.445989
2021-09-28 22:23:27.419755 : Epoch  3, Batch    926, Loss  0.872891, Average Loss  0.871386, Time  0.444907
2021-09-28 22:23:33.357777 : Epoch  3, Batch    927, Loss  0.859972, Average Loss  0.871306, Time  0.450951
2021-09-28 22:23:39.293209 : Epoch  3, Batch    928, Loss  0.875589, Average Loss  0.871269, Time  0.444382
2021-09-28 22:23:39.338212 : Saving Model after 3-th Epoch.
2021-09-28 22:23:40.175664 : Epoch Finished.
2021-09-28 22:23:45.724439 : Batch Shuffled
2021-09-28 22:23:51.654756 : Epoch  4, Batch      1, Loss  0.880271, Average Loss  0.871290, Time  0.444327
2021-09-28 22:23:57.557922 : Epoch  4, Batch      2, Loss  0.854801, Average Loss  0.871098, Time  0.443927
2021-09-28 22:24:03.480704 : Epoch  4, Batch      3, Loss  0.866453, Average Loss  0.870987, Time  0.448135
2021-09-28 22:24:09.395503 : Epoch  4, Batch      4, Loss  0.861223, Average Loss  0.870905, Time  0.445591
2021-09-28 22:24:15.306854 : Epoch  4, Batch      5, Loss  0.870788, Average Loss  0.870935, Time  0.445748
2021-09-28 22:24:21.243290 : Epoch  4, Batch      6, Loss  0.874417, Average Loss  0.870975, Time  0.458367
2021-09-28 22:24:27.174077 : Epoch  4, Batch      7, Loss  0.872914, Average Loss  0.870890, Time  0.447268
2021-09-28 22:24:33.119141 : Epoch  4, Batch      8, Loss  0.876704, Average Loss  0.870971, Time  0.450080
2021-09-28 22:24:39.048412 : Epoch  4, Batch      9, Loss  0.860430, Average Loss  0.870872, Time  0.449944
2021-09-28 22:24:44.971339 : Epoch  4, Batch     10, Loss  0.868753, Average Loss  0.870821, Time  0.444674
2021-09-28 22:24:50.888943 : Epoch  4, Batch     11, Loss  0.855696, Average Loss  0.870730, Time  0.444321
2021-09-28 22:24:56.782179 : Epoch  4, Batch     12, Loss  0.877585, Average Loss  0.870765, Time  0.444330
2021-09-28 22:25:02.712302 : Epoch  4, Batch     13, Loss  0.875474, Average Loss  0.870825, Time  0.444244
2021-09-28 22:25:08.647618 : Epoch  4, Batch     14, Loss  0.873356, Average Loss  0.870829, Time  0.462228
2021-09-28 22:25:14.566258 : Epoch  4, Batch     15, Loss  0.876924, Average Loss  0.870826, Time  0.446353
2021-09-28 22:25:20.512811 : Epoch  4, Batch     16, Loss  0.866760, Average Loss  0.870827, Time  0.446994
2021-09-28 22:29:57.366905 : CheckPoint: Validation Loss  0.00015152, Best Loss  0.00014870
2021-09-28 22:30:03.275496 : Epoch  4, Batch     17, Loss  0.877001, Average Loss  0.870878, Time  0.446633
2021-09-28 22:30:09.195899 : Epoch  4, Batch     18, Loss  0.857028, Average Loss  0.870862, Time  0.445732
2021-09-28 22:30:15.118207 : Epoch  4, Batch     19, Loss  0.867889, Average Loss  0.870839, Time  0.447487
2021-09-28 22:30:21.030827 : Epoch  4, Batch     20, Loss  0.869915, Average Loss  0.870825, Time  0.446534
2021-09-28 22:30:26.947503 : Epoch  4, Batch     21, Loss  0.884771, Average Loss  0.870801, Time  0.445720
2021-09-28 22:30:32.905684 : Epoch  4, Batch     22, Loss  0.885293, Average Loss  0.870833, Time  0.458446
2021-09-28 22:30:38.819139 : Epoch  4, Batch     23, Loss  0.868945, Average Loss  0.870801, Time  0.444823
2021-09-28 22:30:44.715373 : Epoch  4, Batch     24, Loss  0.867287, Average Loss  0.870777, Time  0.445225
2021-09-28 22:30:50.640925 : Epoch  4, Batch     25, Loss  0.860909, Average Loss  0.870724, Time  0.446617
2021-09-28 22:30:56.561104 : Epoch  4, Batch     26, Loss  0.885351, Average Loss  0.870794, Time  0.444578
2021-09-28 22:31:02.488761 : Epoch  4, Batch     27, Loss  0.851879, Average Loss  0.870707, Time  0.445690
2021-09-28 22:31:08.093885 : Epoch  4, Batch     28, Loss  0.868338, Average Loss  0.870703, Time  0.441320
2021-09-28 22:31:13.411317 : Epoch  4, Batch     29, Loss  0.861671, Average Loss  0.870671, Time  0.442348
2021-09-28 22:31:18.713177 : Epoch  4, Batch     30, Loss  0.886863, Average Loss  0.870684, Time  0.453343
2021-09-28 22:31:23.988074 : Epoch  4, Batch     31, Loss  0.877305, Average Loss  0.870645, Time  0.441245
2021-09-28 22:31:29.407670 : Epoch  4, Batch     32, Loss  0.859812, Average Loss  0.870610, Time  0.443135
2021-09-28 22:31:35.085734 : Epoch  4, Batch     33, Loss  0.869647, Average Loss  0.870679, Time  0.445154
2021-09-28 22:31:40.734572 : Epoch  4, Batch     34, Loss  0.878097, Average Loss  0.870673, Time  0.445155
2021-09-28 22:31:46.252872 : Epoch  4, Batch     35, Loss  0.888122, Average Loss  0.870786, Time  0.444106
2021-09-28 22:31:51.725467 : Epoch  4, Batch     36, Loss  0.879578, Average Loss  0.870871, Time  0.444032
2021-09-28 22:31:57.187738 : Epoch  4, Batch     37, Loss  0.886167, Average Loss  0.870987, Time  0.441321
2021-09-28 22:32:02.589623 : Epoch  4, Batch     38, Loss  0.860442, Average Loss  0.870991, Time  0.443508
2021-09-28 22:32:08.192227 : Epoch  4, Batch     39, Loss  0.870036, Average Loss  0.871056, Time  0.453225
2021-09-28 22:32:13.642515 : Epoch  4, Batch     40, Loss  0.877534, Average Loss  0.871079, Time  0.445586
2021-09-28 22:32:19.112605 : Epoch  4, Batch     41, Loss  0.884216, Average Loss  0.871208, Time  0.441373
2021-09-28 22:32:24.567081 : Epoch  4, Batch     42, Loss  0.872757, Average Loss  0.871214, Time  0.440619
2021-09-28 22:32:30.058731 : Epoch  4, Batch     43, Loss  0.862952, Average Loss  0.871186, Time  0.444611
2021-09-28 22:32:35.656487 : Epoch  4, Batch     44, Loss  0.888553, Average Loss  0.871290, Time  0.442938
2021-09-28 22:32:41.269768 : Epoch  4, Batch     45, Loss  0.875986, Average Loss  0.871311, Time  0.444447
2021-09-28 22:32:46.744580 : Epoch  4, Batch     46, Loss  0.881213, Average Loss  0.871422, Time  0.444004
2021-09-28 22:32:52.187006 : Epoch  4, Batch     47, Loss  0.865104, Average Loss  0.871439, Time  0.440726
2021-09-28 22:32:57.558462 : Epoch  4, Batch     48, Loss  0.868935, Average Loss  0.871417, Time  0.446928
2021-09-28 22:33:02.831324 : Epoch  4, Batch     49, Loss  0.856109, Average Loss  0.871367, Time  0.440698
2021-09-28 22:33:08.123804 : Epoch  4, Batch     50, Loss  0.862909, Average Loss  0.871343, Time  0.440219
2021-09-28 22:33:13.408399 : Epoch  4, Batch     51, Loss  0.863602, Average Loss  0.871293, Time  0.441157
2021-09-28 22:33:18.707624 : Epoch  4, Batch     52, Loss  0.882566, Average Loss  0.871352, Time  0.441416
2021-09-28 22:33:23.946505 : Epoch  4, Batch     53, Loss  0.864368, Average Loss  0.871267, Time  0.440723
2021-09-28 22:33:29.217925 : Epoch  4, Batch     54, Loss  0.859391, Average Loss  0.871199, Time  0.440856
2021-09-28 22:33:34.499040 : Epoch  4, Batch     55, Loss  0.875453, Average Loss  0.871295, Time  0.440437
2021-09-28 22:33:39.792701 : Epoch  4, Batch     56, Loss  0.870317, Average Loss  0.871319, Time  0.441694
2021-09-28 22:33:45.172741 : Epoch  4, Batch     57, Loss  0.878480, Average Loss  0.871343, Time  0.450020
2021-09-28 22:33:50.473649 : Epoch  4, Batch     58, Loss  0.867974, Average Loss  0.871360, Time  0.444560
2021-09-28 22:33:55.852134 : Epoch  4, Batch     59, Loss  0.847046, Average Loss  0.871236, Time  0.440715
2021-09-28 22:34:01.411059 : Epoch  4, Batch     60, Loss  0.878411, Average Loss  0.871348, Time  0.444737
2021-09-28 22:34:06.722959 : Epoch  4, Batch     61, Loss  0.873887, Average Loss  0.871373, Time  0.440603
2021-09-28 22:34:12.004107 : Epoch  4, Batch     62, Loss  0.877841, Average Loss  0.871440, Time  0.440372
2021-09-28 22:34:17.477868 : Epoch  4, Batch     63, Loss  0.868073, Average Loss  0.871423, Time  0.444390
2021-09-28 22:34:22.957684 : Epoch  4, Batch     64, Loss  0.892383, Average Loss  0.871587, Time  0.445454
2021-09-28 22:34:28.207876 : Epoch  4, Batch     65, Loss  0.876691, Average Loss  0.871596, Time  0.440353
2021-09-28 22:34:33.465335 : Epoch  4, Batch     66, Loss  0.861524, Average Loss  0.871569, Time  0.450480
2021-09-28 22:34:38.679919 : Epoch  4, Batch     67, Loss  0.863197, Average Loss  0.871555, Time  0.440671
2021-09-28 22:34:43.942273 : Epoch  4, Batch     68, Loss  0.856991, Average Loss  0.871497, Time  0.440536
2021-09-28 22:34:49.261730 : Epoch  4, Batch     69, Loss  0.875414, Average Loss  0.871632, Time  0.441445
2021-09-28 22:34:54.584185 : Epoch  4, Batch     70, Loss  0.860343, Average Loss  0.871547, Time  0.441229
2021-09-28 22:35:00.141320 : Epoch  4, Batch     71, Loss  0.863817, Average Loss  0.871557, Time  0.441459
2021-09-28 22:35:05.449222 : Epoch  4, Batch     72, Loss  0.879110, Average Loss  0.871740, Time  0.441211
2021-09-28 22:35:10.739242 : Epoch  4, Batch     73, Loss  0.880568, Average Loss  0.871701, Time  0.440377
2021-09-28 22:35:16.012375 : Epoch  4, Batch     74, Loss  0.859529, Average Loss  0.871615, Time  0.440335
2021-09-28 22:35:21.319801 : Epoch  4, Batch     75, Loss  0.865882, Average Loss  0.871608, Time  0.456770
2021-09-28 22:35:26.617859 : Epoch  4, Batch     76, Loss  0.874184, Average Loss  0.871606, Time  0.440893
2021-09-28 22:35:31.884186 : Epoch  4, Batch     77, Loss  0.858138, Average Loss  0.871596, Time  0.440938
2021-09-28 22:35:37.236881 : Epoch  4, Batch     78, Loss  0.853650, Average Loss  0.871547, Time  0.442733
2021-09-28 22:35:42.756766 : Epoch  4, Batch     79, Loss  0.878999, Average Loss  0.871517, Time  0.443166
2021-09-28 22:35:48.431100 : Epoch  4, Batch     80, Loss  0.872199, Average Loss  0.871541, Time  0.444083
2021-09-28 22:35:54.167982 : Epoch  4, Batch     81, Loss  0.875200, Average Loss  0.871500, Time  0.443958
2021-09-28 22:35:59.692999 : Epoch  4, Batch     82, Loss  0.874566, Average Loss  0.871494, Time  0.444323
2021-09-28 22:36:05.357515 : Epoch  4, Batch     83, Loss  0.866692, Average Loss  0.871466, Time  0.443752
2021-09-28 22:36:10.831799 : Epoch  4, Batch     84, Loss  0.863937, Average Loss  0.871398, Time  0.455351
2021-09-28 22:36:16.234392 : Epoch  4, Batch     85, Loss  0.872002, Average Loss  0.871372, Time  0.440822
2021-09-28 22:36:21.615926 : Epoch  4, Batch     86, Loss  0.877901, Average Loss  0.871343, Time  0.440575
2021-09-28 22:36:27.071429 : Epoch  4, Batch     87, Loss  0.860182, Average Loss  0.871325, Time  0.443333
2021-09-28 22:36:32.618955 : Epoch  4, Batch     88, Loss  0.883239, Average Loss  0.871462, Time  0.440952
2021-09-28 22:36:38.117484 : Epoch  4, Batch     89, Loss  0.864050, Average Loss  0.871392, Time  0.440563
2021-09-28 22:36:43.457700 : Epoch  4, Batch     90, Loss  0.870729, Average Loss  0.871412, Time  0.440711
2021-09-28 22:36:48.859403 : Epoch  4, Batch     91, Loss  0.867363, Average Loss  0.871419, Time  0.442623
2021-09-28 22:36:54.386475 : Epoch  4, Batch     92, Loss  0.867189, Average Loss  0.871393, Time  0.444862
2021-09-28 22:37:00.110479 : Epoch  4, Batch     93, Loss  0.865102, Average Loss  0.871372, Time  0.459288
2021-09-28 22:37:05.781186 : Epoch  4, Batch     94, Loss  0.875264, Average Loss  0.871460, Time  0.443110
2021-09-28 22:37:11.466191 : Epoch  4, Batch     95, Loss  0.888456, Average Loss  0.871554, Time  0.443938
2021-09-28 22:37:17.114978 : Epoch  4, Batch     96, Loss  0.875107, Average Loss  0.871616, Time  0.446761
2021-09-28 22:37:22.789821 : Epoch  4, Batch     97, Loss  0.872766, Average Loss  0.871628, Time  0.446117
2021-09-28 22:37:28.356897 : Epoch  4, Batch     98, Loss  0.871991, Average Loss  0.871603, Time  0.444180
2021-09-28 22:37:33.920898 : Epoch  4, Batch     99, Loss  0.879728, Average Loss  0.871667, Time  0.444400
2021-09-28 22:37:39.587994 : Epoch  4, Batch    100, Loss  0.869220, Average Loss  0.871672, Time  0.441208
2021-09-28 22:37:44.993008 : Epoch  4, Batch    101, Loss  0.880260, Average Loss  0.871648, Time  0.450327
2021-09-28 22:37:50.318804 : Epoch  4, Batch    102, Loss  0.857223, Average Loss  0.871601, Time  0.443913
2021-09-28 22:37:55.763075 : Epoch  4, Batch    103, Loss  0.887228, Average Loss  0.871666, Time  0.441497
2021-09-28 22:38:01.086539 : Epoch  4, Batch    104, Loss  0.885241, Average Loss  0.871708, Time  0.441948
2021-09-28 22:38:06.711787 : Epoch  4, Batch    105, Loss  0.874230, Average Loss  0.871736, Time  0.443412
2021-09-28 22:38:12.407426 : Epoch  4, Batch    106, Loss  0.872543, Average Loss  0.871709, Time  0.444321
2021-09-28 22:38:18.090764 : Epoch  4, Batch    107, Loss  0.878422, Average Loss  0.871701, Time  0.444363
2021-09-28 22:38:23.647692 : Epoch  4, Batch    108, Loss  0.880759, Average Loss  0.871727, Time  0.443393
2021-09-28 22:38:29.190291 : Epoch  4, Batch    109, Loss  0.870673, Average Loss  0.871846, Time  0.441494
2021-09-28 22:38:34.604076 : Epoch  4, Batch    110, Loss  0.860463, Average Loss  0.871790, Time  0.454870
2021-09-28 22:38:40.290329 : Epoch  4, Batch    111, Loss  0.888847, Average Loss  0.871923, Time  0.444340
2021-09-28 22:38:45.969095 : Epoch  4, Batch    112, Loss  0.881731, Average Loss  0.871956, Time  0.444664
2021-09-28 22:38:51.707956 : Epoch  4, Batch    113, Loss  0.865745, Average Loss  0.871927, Time  0.443662
2021-09-28 22:38:57.449355 : Epoch  4, Batch    114, Loss  0.848567, Average Loss  0.871740, Time  0.442863
2021-09-28 22:39:03.099748 : Epoch  4, Batch    115, Loss  0.877207, Average Loss  0.871828, Time  0.444185
2021-09-28 22:39:08.797080 : Epoch  4, Batch    116, Loss  0.875786, Average Loss  0.871857, Time  0.443704
2021-09-28 22:43:29.622018 : CheckPoint: Validation Loss  0.00015222, Best Loss  0.00014870
2021-09-28 22:43:35.137388 : Epoch  4, Batch    117, Loss  0.863468, Average Loss  0.871736, Time  0.444719
2021-09-28 22:43:40.651388 : Epoch  4, Batch    118, Loss  0.872547, Average Loss  0.871774, Time  0.440980
2021-09-28 22:43:46.099948 : Epoch  4, Batch    119, Loss  0.881312, Average Loss  0.871893, Time  0.443170
2021-09-28 22:43:51.768858 : Epoch  4, Batch    120, Loss  0.873373, Average Loss  0.871978, Time  0.443666
2021-09-28 22:43:57.451326 : Epoch  4, Batch    121, Loss  0.867362, Average Loss  0.871951, Time  0.444153
2021-09-28 22:44:03.150387 : Epoch  4, Batch    122, Loss  0.856437, Average Loss  0.871858, Time  0.457032
2021-09-28 22:44:08.849278 : Epoch  4, Batch    123, Loss  0.875570, Average Loss  0.871838, Time  0.442308
2021-09-28 22:44:14.525063 : Epoch  4, Batch    124, Loss  0.860581, Average Loss  0.871701, Time  0.445077
2021-09-28 22:44:20.150758 : Epoch  4, Batch    125, Loss  0.878141, Average Loss  0.871688, Time  0.443723
2021-09-28 22:44:25.825542 : Epoch  4, Batch    126, Loss  0.873656, Average Loss  0.871664, Time  0.444485
2021-09-28 22:44:31.309495 : Epoch  4, Batch    127, Loss  0.868012, Average Loss  0.871550, Time  0.442575
2021-09-28 22:44:36.891771 : Epoch  4, Batch    128, Loss  0.882679, Average Loss  0.871481, Time  0.446018
2021-09-28 22:44:42.568301 : Epoch  4, Batch    129, Loss  0.885375, Average Loss  0.871595, Time  0.443549
2021-09-28 22:44:48.262865 : Epoch  4, Batch    130, Loss  0.867494, Average Loss  0.871595, Time  0.455708
2021-09-28 22:44:53.978850 : Epoch  4, Batch    131, Loss  0.868748, Average Loss  0.871583, Time  0.444535
2021-09-28 22:44:59.428712 : Epoch  4, Batch    132, Loss  0.861701, Average Loss  0.871546, Time  0.443037
2021-09-28 22:45:05.136323 : Epoch  4, Batch    133, Loss  0.870070, Average Loss  0.871559, Time  0.444986
2021-09-28 22:45:10.845682 : Epoch  4, Batch    134, Loss  0.864896, Average Loss  0.871530, Time  0.443135
2021-09-28 22:45:16.328024 : Epoch  4, Batch    135, Loss  0.880619, Average Loss  0.871586, Time  0.441274
2021-09-28 22:45:21.887688 : Epoch  4, Batch    136, Loss  0.871167, Average Loss  0.871592, Time  0.445046
2021-09-28 22:45:27.336690 : Epoch  4, Batch    137, Loss  0.871736, Average Loss  0.871601, Time  0.441437
2021-09-28 22:45:32.784850 : Epoch  4, Batch    138, Loss  0.871148, Average Loss  0.871619, Time  0.449502
2021-09-28 22:45:38.209447 : Epoch  4, Batch    139, Loss  0.870243, Average Loss  0.871644, Time  0.441923
2021-09-28 22:45:43.822955 : Epoch  4, Batch    140, Loss  0.872245, Average Loss  0.871603, Time  0.444347
2021-09-28 22:45:49.541935 : Epoch  4, Batch    141, Loss  0.858158, Average Loss  0.871625, Time  0.445210
2021-09-28 22:45:55.268404 : Epoch  4, Batch    142, Loss  0.861253, Average Loss  0.871571, Time  0.444423
2021-09-28 22:46:00.974351 : Epoch  4, Batch    143, Loss  0.863834, Average Loss  0.871477, Time  0.443719
2021-09-28 22:46:06.694902 : Epoch  4, Batch    144, Loss  0.868636, Average Loss  0.871452, Time  0.444780
2021-09-28 22:46:12.229655 : Epoch  4, Batch    145, Loss  0.881989, Average Loss  0.871489, Time  0.444085
2021-09-28 22:46:17.851850 : Epoch  4, Batch    146, Loss  0.865536, Average Loss  0.871443, Time  0.456753
2021-09-28 22:46:23.438678 : Epoch  4, Batch    147, Loss  0.871029, Average Loss  0.871527, Time  0.441825
2021-09-28 22:46:28.992657 : Epoch  4, Batch    148, Loss  0.867953, Average Loss  0.871422, Time  0.445501
2021-09-28 22:46:34.603567 : Epoch  4, Batch    149, Loss  0.868079, Average Loss  0.871452, Time  0.442867
2021-09-28 22:46:39.993930 : Epoch  4, Batch    150, Loss  0.857816, Average Loss  0.871323, Time  0.441799
2021-09-28 22:46:45.585317 : Epoch  4, Batch    151, Loss  0.885025, Average Loss  0.871399, Time  0.444091
2021-09-28 22:46:51.322745 : Epoch  4, Batch    152, Loss  0.873106, Average Loss  0.871459, Time  0.444330
2021-09-28 22:46:57.053819 : Epoch  4, Batch    153, Loss  0.872820, Average Loss  0.871473, Time  0.442996
2021-09-28 22:47:02.825943 : Epoch  4, Batch    154, Loss  0.877936, Average Loss  0.871458, Time  0.455590
2021-09-28 22:47:08.407046 : Epoch  4, Batch    155, Loss  0.862605, Average Loss  0.871450, Time  0.442987
2021-09-28 22:47:13.822841 : Epoch  4, Batch    156, Loss  0.875529, Average Loss  0.871497, Time  0.443879
2021-09-28 22:47:19.373045 : Epoch  4, Batch    157, Loss  0.860917, Average Loss  0.871403, Time  0.445366
2021-09-28 22:47:25.068857 : Epoch  4, Batch    158, Loss  0.862708, Average Loss  0.871396, Time  0.445006
2021-09-28 22:47:30.727170 : Epoch  4, Batch    159, Loss  0.877892, Average Loss  0.871368, Time  0.444206
2021-09-28 22:47:36.403833 : Epoch  4, Batch    160, Loss  0.878640, Average Loss  0.871396, Time  0.444299
2021-09-28 22:47:42.126977 : Epoch  4, Batch    161, Loss  0.863738, Average Loss  0.871463, Time  0.444776
2021-09-28 22:47:47.766000 : Epoch  4, Batch    162, Loss  0.886074, Average Loss  0.871492, Time  0.444022
2021-09-28 22:47:53.430363 : Epoch  4, Batch    163, Loss  0.872440, Average Loss  0.871503, Time  0.455547
2021-09-28 22:47:59.046872 : Epoch  4, Batch    164, Loss  0.873558, Average Loss  0.871551, Time  0.441934
2021-09-28 22:48:04.738479 : Epoch  4, Batch    165, Loss  0.864419, Average Loss  0.871458, Time  0.444230
2021-09-28 22:48:10.460806 : Epoch  4, Batch    166, Loss  0.868752, Average Loss  0.871362, Time  0.443692
2021-09-28 22:48:16.154444 : Epoch  4, Batch    167, Loss  0.874903, Average Loss  0.871413, Time  0.444638
2021-09-28 22:48:21.895793 : Epoch  4, Batch    168, Loss  0.870017, Average Loss  0.871392, Time  0.444813
2021-09-28 22:48:27.607606 : Epoch  4, Batch    169, Loss  0.874864, Average Loss  0.871470, Time  0.444468
2021-09-28 22:48:33.104813 : Epoch  4, Batch    170, Loss  0.874213, Average Loss  0.871411, Time  0.444139
2021-09-28 22:48:38.515145 : Epoch  4, Batch    171, Loss  0.870243, Average Loss  0.871367, Time  0.458184
2021-09-28 22:48:44.126562 : Epoch  4, Batch    172, Loss  0.873380, Average Loss  0.871341, Time  0.444305
2021-09-28 22:48:49.868123 : Epoch  4, Batch    173, Loss  0.879101, Average Loss  0.871401, Time  0.445917
2021-09-28 22:48:55.556498 : Epoch  4, Batch    174, Loss  0.874042, Average Loss  0.871358, Time  0.445263
2021-09-28 22:49:01.316055 : Epoch  4, Batch    175, Loss  0.872811, Average Loss  0.871306, Time  0.444519
2021-09-28 22:49:07.027057 : Epoch  4, Batch    176, Loss  0.881131, Average Loss  0.871385, Time  0.444478
2021-09-28 22:49:12.689416 : Epoch  4, Batch    177, Loss  0.873068, Average Loss  0.871418, Time  0.442351
2021-09-28 22:49:18.219693 : Epoch  4, Batch    178, Loss  0.875997, Average Loss  0.871484, Time  0.443321
2021-09-28 22:49:23.866104 : Epoch  4, Batch    179, Loss  0.875446, Average Loss  0.871452, Time  0.454567
2021-09-28 22:49:29.421907 : Epoch  4, Batch    180, Loss  0.871959, Average Loss  0.871438, Time  0.445189
2021-09-28 22:49:35.057198 : Epoch  4, Batch    181, Loss  0.870336, Average Loss  0.871417, Time  0.442715
2021-09-28 22:49:40.680733 : Epoch  4, Batch    182, Loss  0.882919, Average Loss  0.871523, Time  0.441918
2021-09-28 22:49:46.234940 : Epoch  4, Batch    183, Loss  0.863556, Average Loss  0.871471, Time  0.443830
2021-09-28 22:49:51.942861 : Epoch  4, Batch    184, Loss  0.867623, Average Loss  0.871371, Time  0.443478
2021-09-28 22:49:57.510730 : Epoch  4, Batch    185, Loss  0.867887, Average Loss  0.871400, Time  0.443934
2021-09-28 22:50:03.077098 : Epoch  4, Batch    186, Loss  0.874447, Average Loss  0.871450, Time  0.444025
2021-09-28 22:50:08.589930 : Epoch  4, Batch    187, Loss  0.879119, Average Loss  0.871446, Time  0.443807
2021-09-28 22:50:14.195725 : Epoch  4, Batch    188, Loss  0.879437, Average Loss  0.871433, Time  0.453976
2021-09-28 22:50:19.847705 : Epoch  4, Batch    189, Loss  0.876408, Average Loss  0.871558, Time  0.443423
2021-09-28 22:50:25.534653 : Epoch  4, Batch    190, Loss  0.872076, Average Loss  0.871491, Time  0.440954
2021-09-28 22:50:30.957874 : Epoch  4, Batch    191, Loss  0.860675, Average Loss  0.871400, Time  0.442075
2021-09-28 22:50:36.534636 : Epoch  4, Batch    192, Loss  0.868531, Average Loss  0.871425, Time  0.441487
2021-09-28 22:50:42.058354 : Epoch  4, Batch    193, Loss  0.867137, Average Loss  0.871403, Time  0.442242
2021-09-28 22:50:47.690979 : Epoch  4, Batch    194, Loss  0.871475, Average Loss  0.871330, Time  0.444152
2021-09-28 22:50:53.311566 : Epoch  4, Batch    195, Loss  0.858255, Average Loss  0.871305, Time  0.442202
2021-09-28 22:50:58.947532 : Epoch  4, Batch    196, Loss  0.878546, Average Loss  0.871319, Time  0.456858
2021-09-28 22:51:04.686711 : Epoch  4, Batch    197, Loss  0.858146, Average Loss  0.871260, Time  0.444500
2021-09-28 22:51:10.226104 : Epoch  4, Batch    198, Loss  0.865227, Average Loss  0.871222, Time  0.440918
2021-09-28 22:51:15.663101 : Epoch  4, Batch    199, Loss  0.870271, Average Loss  0.871273, Time  0.441421
2021-09-28 22:51:20.975099 : Epoch  4, Batch    200, Loss  0.870752, Average Loss  0.871249, Time  0.440633
2021-09-28 22:51:26.406988 : Epoch  4, Batch    201, Loss  0.865082, Average Loss  0.871173, Time  0.442761
2021-09-28 22:51:32.103076 : Epoch  4, Batch    202, Loss  0.873260, Average Loss  0.871265, Time  0.444241
2021-09-28 22:51:37.805691 : Epoch  4, Batch    203, Loss  0.872319, Average Loss  0.871295, Time  0.444183
2021-09-28 22:51:43.470581 : Epoch  4, Batch    204, Loss  0.878966, Average Loss  0.871383, Time  0.443336
2021-09-28 22:51:49.040889 : Epoch  4, Batch    205, Loss  0.881137, Average Loss  0.871435, Time  0.458926
2021-09-28 22:51:54.688065 : Epoch  4, Batch    206, Loss  0.871272, Average Loss  0.871420, Time  0.442374
2021-09-28 22:52:00.149955 : Epoch  4, Batch    207, Loss  0.870520, Average Loss  0.871408, Time  0.444522
2021-09-28 22:52:05.628661 : Epoch  4, Batch    208, Loss  0.883820, Average Loss  0.871443, Time  0.443507
2021-09-28 22:52:11.280913 : Epoch  4, Batch    209, Loss  0.873306, Average Loss  0.871507, Time  0.444411
2021-09-28 22:52:17.001830 : Epoch  4, Batch    210, Loss  0.872448, Average Loss  0.871526, Time  0.444329
2021-09-28 22:52:22.605434 : Epoch  4, Batch    211, Loss  0.863369, Average Loss  0.871564, Time  0.442663
2021-09-28 22:52:28.191162 : Epoch  4, Batch    212, Loss  0.886675, Average Loss  0.871610, Time  0.442178
2021-09-28 22:52:33.823827 : Epoch  4, Batch    213, Loss  0.873685, Average Loss  0.871601, Time  0.459635
2021-09-28 22:52:39.451656 : Epoch  4, Batch    214, Loss  0.878952, Average Loss  0.871629, Time  0.445256
2021-09-28 22:52:45.131478 : Epoch  4, Batch    215, Loss  0.874671, Average Loss  0.871618, Time  0.444237
2021-09-28 22:52:56.360676 : Epoch  4, Batch    216, Loss  0.867746, Average Loss  0.871622, Time  0.443873
2021-09-28 22:57:22.955307 : CheckPoint: Validation Loss  0.00015172, Best Loss  0.00014870
2021-09-28 22:57:28.481727 : Epoch  4, Batch    217, Loss  0.866613, Average Loss  0.871571, Time  0.445072
2021-09-28 22:57:33.982560 : Epoch  4, Batch    218, Loss  0.870893, Average Loss  0.871640, Time  0.441384
2021-09-28 22:57:39.445816 : Epoch  4, Batch    219, Loss  0.855605, Average Loss  0.871578, Time  0.441093
2021-09-28 22:57:44.978533 : Epoch  4, Batch    220, Loss  0.867981, Average Loss  0.871569, Time  0.441630
2021-09-28 22:57:50.450459 : Epoch  4, Batch    221, Loss  0.868464, Average Loss  0.871487, Time  0.442297
2021-09-28 22:57:55.952554 : Epoch  4, Batch    222, Loss  0.864122, Average Loss  0.871381, Time  0.443280
2021-09-28 22:58:01.493645 : Epoch  4, Batch    223, Loss  0.880140, Average Loss  0.871437, Time  0.441939
2021-09-28 22:58:06.985606 : Epoch  4, Batch    224, Loss  0.881519, Average Loss  0.871509, Time  0.452455
2021-09-28 22:58:12.450187 : Epoch  4, Batch    225, Loss  0.875793, Average Loss  0.871583, Time  0.442280
2021-09-28 22:58:17.896971 : Epoch  4, Batch    226, Loss  0.870316, Average Loss  0.871508, Time  0.442220
2021-09-28 22:58:23.370384 : Epoch  4, Batch    227, Loss  0.872075, Average Loss  0.871609, Time  0.442656
2021-09-28 22:58:28.845543 : Epoch  4, Batch    228, Loss  0.868942, Average Loss  0.871612, Time  0.442578
2021-09-28 22:58:34.271530 : Epoch  4, Batch    229, Loss  0.866081, Average Loss  0.871634, Time  0.441962
2021-09-28 22:58:39.722898 : Epoch  4, Batch    230, Loss  0.879586, Average Loss  0.871597, Time  0.442258
2021-09-28 22:58:45.208136 : Epoch  4, Batch    231, Loss  0.886884, Average Loss  0.871645, Time  0.441695
2021-09-28 22:58:50.653529 : Epoch  4, Batch    232, Loss  0.878813, Average Loss  0.871740, Time  0.442882
2021-09-28 22:58:56.119922 : Epoch  4, Batch    233, Loss  0.858929, Average Loss  0.871687, Time  0.451003
2021-09-28 22:59:01.581068 : Epoch  4, Batch    234, Loss  0.893858, Average Loss  0.871766, Time  0.441998
2021-09-28 22:59:07.047511 : Epoch  4, Batch    235, Loss  0.867201, Average Loss  0.871661, Time  0.441828
2021-09-28 22:59:12.513223 : Epoch  4, Batch    236, Loss  0.868823, Average Loss  0.871607, Time  0.444466
2021-09-28 22:59:18.408773 : Epoch  4, Batch    237, Loss  0.867737, Average Loss  0.871515, Time  0.444747
2021-09-28 22:59:24.337632 : Epoch  4, Batch    238, Loss  0.878755, Average Loss  0.871607, Time  0.452338
2021-09-28 22:59:30.245200 : Epoch  4, Batch    239, Loss  0.874296, Average Loss  0.871628, Time  0.445929
2021-09-28 22:59:36.147843 : Epoch  4, Batch    240, Loss  0.865095, Average Loss  0.871566, Time  0.447455
2021-09-28 22:59:42.062570 : Epoch  4, Batch    241, Loss  0.856367, Average Loss  0.871426, Time  0.456169
2021-09-28 22:59:47.974359 : Epoch  4, Batch    242, Loss  0.873261, Average Loss  0.871429, Time  0.446028
2021-09-28 22:59:53.864730 : Epoch  4, Batch    243, Loss  0.879710, Average Loss  0.871513, Time  0.443970
2021-09-28 22:59:59.763639 : Epoch  4, Batch    244, Loss  0.881043, Average Loss  0.871475, Time  0.447041
2021-09-28 23:00:05.673625 : Epoch  4, Batch    245, Loss  0.874498, Average Loss  0.871468, Time  0.448924
2021-09-28 23:00:11.581738 : Epoch  4, Batch    246, Loss  0.866143, Average Loss  0.871392, Time  0.448305
2021-09-28 23:00:17.483244 : Epoch  4, Batch    247, Loss  0.880292, Average Loss  0.871468, Time  0.446350
2021-09-28 23:00:23.375766 : Epoch  4, Batch    248, Loss  0.853079, Average Loss  0.871389, Time  0.444419
2021-09-28 23:00:29.281360 : Epoch  4, Batch    249, Loss  0.860005, Average Loss  0.871409, Time  0.459509
2021-09-28 23:00:35.188740 : Epoch  4, Batch    250, Loss  0.869987, Average Loss  0.871444, Time  0.443809
2021-09-28 23:00:41.106905 : Epoch  4, Batch    251, Loss  0.872622, Average Loss  0.871489, Time  0.448812
2021-09-28 23:00:47.032377 : Epoch  4, Batch    252, Loss  0.873775, Average Loss  0.871445, Time  0.449910
2021-09-28 23:00:52.940262 : Epoch  4, Batch    253, Loss  0.879683, Average Loss  0.871522, Time  0.447596
2021-09-28 23:00:58.857612 : Epoch  4, Batch    254, Loss  0.859520, Average Loss  0.871522, Time  0.445503
2021-09-28 23:01:04.770832 : Epoch  4, Batch    255, Loss  0.861584, Average Loss  0.871453, Time  0.444469
2021-09-28 23:01:10.673064 : Epoch  4, Batch    256, Loss  0.874519, Average Loss  0.871474, Time  0.444329
2021-09-28 23:01:16.591889 : Epoch  4, Batch    257, Loss  0.858251, Average Loss  0.871373, Time  0.459481
2021-09-28 23:01:22.491426 : Epoch  4, Batch    258, Loss  0.856719, Average Loss  0.871317, Time  0.444248
2021-09-28 23:01:28.430748 : Epoch  4, Batch    259, Loss  0.862501, Average Loss  0.871394, Time  0.444716
2021-09-28 23:01:34.398380 : Epoch  4, Batch    260, Loss  0.875820, Average Loss  0.871381, Time  0.446748
2021-09-28 23:01:40.364882 : Epoch  4, Batch    261, Loss  0.868653, Average Loss  0.871355, Time  0.444890
2021-09-28 23:01:46.329484 : Epoch  4, Batch    262, Loss  0.863454, Average Loss  0.871283, Time  0.446714
2021-09-28 23:01:52.276414 : Epoch  4, Batch    263, Loss  0.861645, Average Loss  0.871251, Time  0.444813
2021-09-28 23:01:58.236629 : Epoch  4, Batch    264, Loss  0.885796, Average Loss  0.871218, Time  0.444591
2021-09-28 23:02:04.218746 : Epoch  4, Batch    265, Loss  0.872812, Average Loss  0.871198, Time  0.459770
2021-09-28 23:02:10.167840 : Epoch  4, Batch    266, Loss  0.882391, Average Loss  0.871303, Time  0.444634
2021-09-28 23:02:16.124460 : Epoch  4, Batch    267, Loss  0.866889, Average Loss  0.871321, Time  0.444844
2021-09-28 23:02:22.068228 : Epoch  4, Batch    268, Loss  0.862130, Average Loss  0.871347, Time  0.445242
2021-09-28 23:02:28.014831 : Epoch  4, Batch    269, Loss  0.875378, Average Loss  0.871347, Time  0.445923
2021-09-28 23:02:33.960181 : Epoch  4, Batch    270, Loss  0.867384, Average Loss  0.871382, Time  0.444303
2021-09-28 23:02:39.911665 : Epoch  4, Batch    271, Loss  0.876678, Average Loss  0.871446, Time  0.447461
2021-09-28 23:02:45.883376 : Epoch  4, Batch    272, Loss  0.876105, Average Loss  0.871431, Time  0.451532
2021-09-28 23:02:51.856242 : Epoch  4, Batch    273, Loss  0.872385, Average Loss  0.871390, Time  0.460020
2021-09-28 23:02:57.818018 : Epoch  4, Batch    274, Loss  0.867149, Average Loss  0.871428, Time  0.444818
2021-09-28 23:03:03.788816 : Epoch  4, Batch    275, Loss  0.870454, Average Loss  0.871451, Time  0.448355
2021-09-28 23:03:09.756652 : Epoch  4, Batch    276, Loss  0.873800, Average Loss  0.871449, Time  0.443927
2021-09-28 23:03:15.715957 : Epoch  4, Batch    277, Loss  0.868147, Average Loss  0.871499, Time  0.444132
2021-09-28 23:03:21.680850 : Epoch  4, Batch    278, Loss  0.858272, Average Loss  0.871522, Time  0.444672
2021-09-28 23:03:27.633801 : Epoch  4, Batch    279, Loss  0.867509, Average Loss  0.871465, Time  0.445038
2021-09-28 23:03:33.609088 : Epoch  4, Batch    280, Loss  0.888921, Average Loss  0.871549, Time  0.459601
2021-09-28 23:03:39.577328 : Epoch  4, Batch    281, Loss  0.884726, Average Loss  0.871596, Time  0.445147
2021-09-28 23:03:45.534697 : Epoch  4, Batch    282, Loss  0.871755, Average Loss  0.871582, Time  0.445137
2021-09-28 23:03:51.486441 : Epoch  4, Batch    283, Loss  0.878962, Average Loss  0.871643, Time  0.445793
2021-09-28 23:03:57.435196 : Epoch  4, Batch    284, Loss  0.880420, Average Loss  0.871726, Time  0.445256
2021-09-28 23:04:03.380920 : Epoch  4, Batch    285, Loss  0.860741, Average Loss  0.871670, Time  0.444455
2021-09-28 23:04:09.352868 : Epoch  4, Batch    286, Loss  0.877877, Average Loss  0.871669, Time  0.445941
2021-09-28 23:04:15.304851 : Epoch  4, Batch    287, Loss  0.871404, Average Loss  0.871726, Time  0.445602
2021-09-28 23:04:21.278004 : Epoch  4, Batch    288, Loss  0.879515, Average Loss  0.871707, Time  0.457969
2021-09-28 23:04:27.242013 : Epoch  4, Batch    289, Loss  0.864405, Average Loss  0.871709, Time  0.445696
2021-09-28 23:04:33.202824 : Epoch  4, Batch    290, Loss  0.854717, Average Loss  0.871629, Time  0.447474
2021-09-28 23:04:39.165513 : Epoch  4, Batch    291, Loss  0.880110, Average Loss  0.871692, Time  0.445906
2021-09-28 23:04:45.132793 : Epoch  4, Batch    292, Loss  0.859021, Average Loss  0.871652, Time  0.446969
2021-09-28 23:04:51.093910 : Epoch  4, Batch    293, Loss  0.878390, Average Loss  0.871718, Time  0.446989
2021-09-28 23:04:57.042119 : Epoch  4, Batch    294, Loss  0.854234, Average Loss  0.871613, Time  0.444957
2021-09-28 23:05:03.002795 : Epoch  4, Batch    295, Loss  0.885792, Average Loss  0.871600, Time  0.445888
2021-09-28 23:05:08.971538 : Epoch  4, Batch    296, Loss  0.854258, Average Loss  0.871495, Time  0.453891
2021-09-28 23:05:14.929453 : Epoch  4, Batch    297, Loss  0.884544, Average Loss  0.871554, Time  0.444604
2021-09-28 23:05:20.890144 : Epoch  4, Batch    298, Loss  0.879677, Average Loss  0.871593, Time  0.444847
2021-09-28 23:05:26.842776 : Epoch  4, Batch    299, Loss  0.854792, Average Loss  0.871468, Time  0.444170
2021-09-28 23:05:32.798037 : Epoch  4, Batch    300, Loss  0.862337, Average Loss  0.871434, Time  0.444470
2021-09-28 23:05:38.761961 : Epoch  4, Batch    301, Loss  0.856671, Average Loss  0.871316, Time  0.444437
2021-09-28 23:05:44.716299 : Epoch  4, Batch    302, Loss  0.863402, Average Loss  0.871346, Time  0.448286
2021-09-28 23:05:50.684736 : Epoch  4, Batch    303, Loss  0.871809, Average Loss  0.871269, Time  0.460493
2021-09-28 23:05:56.643393 : Epoch  4, Batch    304, Loss  0.873339, Average Loss  0.871210, Time  0.447259
2021-09-28 23:06:02.586313 : Epoch  4, Batch    305, Loss  0.860640, Average Loss  0.871142, Time  0.444432
2021-09-28 23:06:08.538413 : Epoch  4, Batch    306, Loss  0.861945, Average Loss  0.871089, Time  0.444022
2021-09-28 23:06:14.497841 : Epoch  4, Batch    307, Loss  0.871714, Average Loss  0.871055, Time  0.444089
2021-09-28 23:06:20.460811 : Epoch  4, Batch    308, Loss  0.869807, Average Loss  0.871001, Time  0.449429
2021-09-28 23:06:26.412078 : Epoch  4, Batch    309, Loss  0.871999, Average Loss  0.871007, Time  0.447232
2021-09-28 23:06:32.369075 : Epoch  4, Batch    310, Loss  0.867105, Average Loss  0.871040, Time  0.444561
2021-09-28 23:06:38.341762 : Epoch  4, Batch    311, Loss  0.868100, Average Loss  0.870937, Time  0.457561
2021-09-28 23:06:44.298408 : Epoch  4, Batch    312, Loss  0.881979, Average Loss  0.870938, Time  0.446928
2021-09-28 23:06:50.267202 : Epoch  4, Batch    313, Loss  0.864992, Average Loss  0.870934, Time  0.446549
2021-09-28 23:06:56.227867 : Epoch  4, Batch    314, Loss  0.860583, Average Loss  0.870994, Time  0.446125
2021-09-28 23:07:02.190384 : Epoch  4, Batch    315, Loss  0.865386, Average Loss  0.870935, Time  0.450343
2021-09-28 23:07:08.161390 : Epoch  4, Batch    316, Loss  0.868269, Average Loss  0.870898, Time  0.447333
2021-09-28 23:11:45.179992 : CheckPoint: Validation Loss  0.00015395, Best Loss  0.00014870
2021-09-28 23:11:51.074829 : Epoch  4, Batch    317, Loss  0.870051, Average Loss  0.870931, Time  0.445955
2021-09-28 23:11:57.034942 : Epoch  4, Batch    318, Loss  0.879264, Average Loss  0.870964, Time  0.460851
2021-09-28 23:12:02.977044 : Epoch  4, Batch    319, Loss  0.869166, Average Loss  0.870903, Time  0.446707
2021-09-28 23:12:08.917260 : Epoch  4, Batch    320, Loss  0.861854, Average Loss  0.870846, Time  0.444723
2021-09-28 23:12:14.868427 : Epoch  4, Batch    321, Loss  0.866292, Average Loss  0.870840, Time  0.448682
2021-09-28 23:12:20.823916 : Epoch  4, Batch    322, Loss  0.859878, Average Loss  0.870858, Time  0.446958
2021-09-28 23:12:26.770820 : Epoch  4, Batch    323, Loss  0.869773, Average Loss  0.870829, Time  0.445408
2021-09-28 23:12:32.718814 : Epoch  4, Batch    324, Loss  0.866611, Average Loss  0.870859, Time  0.445194
2021-09-28 23:12:38.695025 : Epoch  4, Batch    325, Loss  0.866661, Average Loss  0.870801, Time  0.446454
2021-09-28 23:12:44.652338 : Epoch  4, Batch    326, Loss  0.868043, Average Loss  0.870773, Time  0.458394
2021-09-28 23:12:50.610801 : Epoch  4, Batch    327, Loss  0.872115, Average Loss  0.870794, Time  0.446860
2021-09-28 23:12:56.572257 : Epoch  4, Batch    328, Loss  0.877875, Average Loss  0.870770, Time  0.444657
2021-09-28 23:13:02.537440 : Epoch  4, Batch    329, Loss  0.862434, Average Loss  0.870655, Time  0.445010
2021-09-28 23:13:08.499517 : Epoch  4, Batch    330, Loss  0.880624, Average Loss  0.870721, Time  0.444903
2021-09-28 23:13:14.454514 : Epoch  4, Batch    331, Loss  0.872575, Average Loss  0.870740, Time  0.445495
2021-09-28 23:13:20.402534 : Epoch  4, Batch    332, Loss  0.860137, Average Loss  0.870732, Time  0.444336
2021-09-28 23:13:26.362487 : Epoch  4, Batch    333, Loss  0.882375, Average Loss  0.870794, Time  0.446644
2021-09-28 23:13:32.330179 : Epoch  4, Batch    334, Loss  0.867562, Average Loss  0.870807, Time  0.454218
2021-09-28 23:13:38.277762 : Epoch  4, Batch    335, Loss  0.854754, Average Loss  0.870678, Time  0.444047
2021-09-28 23:13:44.245562 : Epoch  4, Batch    336, Loss  0.885161, Average Loss  0.870748, Time  0.445619
2021-09-28 23:13:50.196796 : Epoch  4, Batch    337, Loss  0.861120, Average Loss  0.870695, Time  0.444559
2021-09-28 23:13:56.160140 : Epoch  4, Batch    338, Loss  0.876126, Average Loss  0.870719, Time  0.445998
2021-09-28 23:14:02.120239 : Epoch  4, Batch    339, Loss  0.883115, Average Loss  0.870784, Time  0.446300
2021-09-28 23:14:08.078929 : Epoch  4, Batch    340, Loss  0.869329, Average Loss  0.870769, Time  0.447492
2021-09-28 23:14:14.039422 : Epoch  4, Batch    341, Loss  0.877633, Average Loss  0.870867, Time  0.444892
2021-09-28 23:14:19.992519 : Epoch  4, Batch    342, Loss  0.871540, Average Loss  0.870918, Time  0.456606
2021-09-28 23:14:25.946374 : Epoch  4, Batch    343, Loss  0.868472, Average Loss  0.870941, Time  0.444940
2021-09-28 23:14:31.932031 : Epoch  4, Batch    344, Loss  0.879912, Average Loss  0.870998, Time  0.444571
2021-09-28 23:14:37.898249 : Epoch  4, Batch    345, Loss  0.851614, Average Loss  0.870846, Time  0.447153
2021-09-28 23:14:43.847357 : Epoch  4, Batch    346, Loss  0.852930, Average Loss  0.870783, Time  0.447942
2021-09-28 23:14:49.783052 : Epoch  4, Batch    347, Loss  0.878574, Average Loss  0.870820, Time  0.445817
2021-09-28 23:14:55.740887 : Epoch  4, Batch    348, Loss  0.877118, Average Loss  0.870866, Time  0.444846
2021-09-28 23:15:01.712011 : Epoch  4, Batch    349, Loss  0.885253, Average Loss  0.870952, Time  0.456102
2021-09-28 23:15:07.663259 : Epoch  4, Batch    350, Loss  0.873515, Average Loss  0.871031, Time  0.444969
2021-09-28 23:15:13.612902 : Epoch  4, Batch    351, Loss  0.867708, Average Loss  0.870944, Time  0.445265
2021-09-28 23:15:19.571902 : Epoch  4, Batch    352, Loss  0.863472, Average Loss  0.870896, Time  0.444331
2021-09-28 23:15:25.528755 : Epoch  4, Batch    353, Loss  0.866586, Average Loss  0.870865, Time  0.447169
2021-09-28 23:15:31.490674 : Epoch  4, Batch    354, Loss  0.865819, Average Loss  0.870804, Time  0.447806
2021-09-28 23:15:37.428320 : Epoch  4, Batch    355, Loss  0.872880, Average Loss  0.870855, Time  0.444863
2021-09-28 23:15:43.382825 : Epoch  4, Batch    356, Loss  0.866166, Average Loss  0.870809, Time  0.444998
2021-09-28 23:15:49.358463 : Epoch  4, Batch    357, Loss  0.861643, Average Loss  0.870812, Time  0.456366
2021-09-28 23:15:55.302921 : Epoch  4, Batch    358, Loss  0.858524, Average Loss  0.870791, Time  0.444940
2021-09-28 23:16:01.246794 : Epoch  4, Batch    359, Loss  0.867731, Average Loss  0.870740, Time  0.445411
2021-09-28 23:16:07.204339 : Epoch  4, Batch    360, Loss  0.853786, Average Loss  0.870616, Time  0.449462
2021-09-28 23:16:13.170855 : Epoch  4, Batch    361, Loss  0.862529, Average Loss  0.870610, Time  0.447341
2021-09-28 23:16:19.131756 : Epoch  4, Batch    362, Loss  0.863436, Average Loss  0.870497, Time  0.445513
2021-09-28 23:16:25.093544 : Epoch  4, Batch    363, Loss  0.861959, Average Loss  0.870445, Time  0.445578
2021-09-28 23:16:31.043060 : Epoch  4, Batch    364, Loss  0.867142, Average Loss  0.870413, Time  0.445139
2021-09-28 23:16:37.022290 : Epoch  4, Batch    365, Loss  0.872343, Average Loss  0.870452, Time  0.456333
2021-09-28 23:16:42.968575 : Epoch  4, Batch    366, Loss  0.881889, Average Loss  0.870518, Time  0.445868
2021-09-28 23:16:48.915572 : Epoch  4, Batch    367, Loss  0.871630, Average Loss  0.870501, Time  0.445011
2021-09-28 23:16:54.869895 : Epoch  4, Batch    368, Loss  0.868047, Average Loss  0.870492, Time  0.445426
2021-09-28 23:17:00.815439 : Epoch  4, Batch    369, Loss  0.870658, Average Loss  0.870471, Time  0.444105
2021-09-28 23:17:06.768249 : Epoch  4, Batch    370, Loss  0.855172, Average Loss  0.870375, Time  0.444050
2021-09-28 23:17:12.723830 : Epoch  4, Batch    371, Loss  0.866701, Average Loss  0.870358, Time  0.449268
2021-09-28 23:17:18.695280 : Epoch  4, Batch    372, Loss  0.873973, Average Loss  0.870361, Time  0.462106
2021-09-28 23:17:24.661092 : Epoch  4, Batch    373, Loss  0.873303, Average Loss  0.870332, Time  0.444415
2021-09-28 23:17:30.598976 : Epoch  4, Batch    374, Loss  0.858930, Average Loss  0.870256, Time  0.446313
2021-09-28 23:17:36.563689 : Epoch  4, Batch    375, Loss  0.880581, Average Loss  0.870295, Time  0.445724
2021-09-28 23:17:42.519657 : Epoch  4, Batch    376, Loss  0.864454, Average Loss  0.870212, Time  0.444840
2021-09-28 23:17:48.476156 : Epoch  4, Batch    377, Loss  0.883774, Average Loss  0.870265, Time  0.445285
2021-09-28 23:17:54.422118 : Epoch  4, Batch    378, Loss  0.874525, Average Loss  0.870258, Time  0.445578
2021-09-28 23:18:00.360211 : Epoch  4, Batch    379, Loss  0.865073, Average Loss  0.870206, Time  0.444013
2021-09-28 23:18:06.333906 : Epoch  4, Batch    380, Loss  0.857892, Average Loss  0.870136, Time  0.461995
2021-09-28 23:18:12.285365 : Epoch  4, Batch    381, Loss  0.861858, Average Loss  0.870093, Time  0.444042
2021-09-28 23:18:18.243982 : Epoch  4, Batch    382, Loss  0.878826, Average Loss  0.870073, Time  0.445907
2021-09-28 23:18:24.205345 : Epoch  4, Batch    383, Loss  0.863014, Average Loss  0.870070, Time  0.444811
2021-09-28 23:18:30.167777 : Epoch  4, Batch    384, Loss  0.874643, Average Loss  0.870105, Time  0.447169
2021-09-28 23:18:36.114504 : Epoch  4, Batch    385, Loss  0.867166, Average Loss  0.870101, Time  0.445858
2021-09-28 23:18:42.047667 : Epoch  4, Batch    386, Loss  0.870487, Average Loss  0.870082, Time  0.445914
2021-09-28 23:18:47.994762 : Epoch  4, Batch    387, Loss  0.866388, Average Loss  0.870018, Time  0.446351
2021-09-28 23:18:53.970793 : Epoch  4, Batch    388, Loss  0.880717, Average Loss  0.870024, Time  0.459134
2021-09-28 23:18:59.909800 : Epoch  4, Batch    389, Loss  0.872216, Average Loss  0.870003, Time  0.445908
2021-09-28 23:19:05.868802 : Epoch  4, Batch    390, Loss  0.880431, Average Loss  0.870045, Time  0.445109
2021-09-28 23:19:11.810791 : Epoch  4, Batch    391, Loss  0.869726, Average Loss  0.870090, Time  0.446097
2021-09-28 23:19:17.754342 : Epoch  4, Batch    392, Loss  0.860386, Average Loss  0.870050, Time  0.445653
2021-09-28 23:19:23.721972 : Epoch  4, Batch    393, Loss  0.861020, Average Loss  0.870019, Time  0.445943
2021-09-28 23:19:29.672715 : Epoch  4, Batch    394, Loss  0.879003, Average Loss  0.870057, Time  0.446396
2021-09-28 23:19:35.630969 : Epoch  4, Batch    395, Loss  0.860804, Average Loss  0.870070, Time  0.458022
2021-09-28 23:19:41.597311 : Epoch  4, Batch    396, Loss  0.864157, Average Loss  0.869998, Time  0.446167
2021-09-28 23:19:47.540310 : Epoch  4, Batch    397, Loss  0.875215, Average Loss  0.870083, Time  0.444880
2021-09-28 23:19:53.494769 : Epoch  4, Batch    398, Loss  0.877839, Average Loss  0.870146, Time  0.444772
2021-09-28 23:19:59.448058 : Epoch  4, Batch    399, Loss  0.879768, Average Loss  0.870193, Time  0.444607
2021-09-28 23:20:05.387291 : Epoch  4, Batch    400, Loss  0.869755, Average Loss  0.870188, Time  0.444166
2021-09-28 23:20:11.340249 : Epoch  4, Batch    401, Loss  0.854332, Average Loss  0.870135, Time  0.446373
2021-09-28 23:20:17.297825 : Epoch  4, Batch    402, Loss  0.872735, Average Loss  0.870132, Time  0.445572
2021-09-28 23:20:23.285155 : Epoch  4, Batch    403, Loss  0.872454, Average Loss  0.870133, Time  0.455233
2021-09-28 23:20:29.248698 : Epoch  4, Batch    404, Loss  0.877116, Average Loss  0.870124, Time  0.445852
2021-09-28 23:20:35.206743 : Epoch  4, Batch    405, Loss  0.873757, Average Loss  0.870087, Time  0.447750
2021-09-28 23:20:41.151884 : Epoch  4, Batch    406, Loss  0.859268, Average Loss  0.870027, Time  0.446120
2021-09-28 23:20:47.109735 : Epoch  4, Batch    407, Loss  0.867108, Average Loss  0.870010, Time  0.445955
2021-09-28 23:20:53.088546 : Epoch  4, Batch    408, Loss  0.872408, Average Loss  0.869952, Time  0.444321
2021-09-28 23:20:59.045808 : Epoch  4, Batch    409, Loss  0.869881, Average Loss  0.869935, Time  0.444342
2021-09-28 23:21:04.966428 : Epoch  4, Batch    410, Loss  0.870650, Average Loss  0.869926, Time  0.444068
2021-09-28 23:21:10.928100 : Epoch  4, Batch    411, Loss  0.874487, Average Loss  0.869982, Time  0.455017
2021-09-28 23:21:16.876821 : Epoch  4, Batch    412, Loss  0.875232, Average Loss  0.869925, Time  0.448937
2021-09-28 23:21:22.832269 : Epoch  4, Batch    413, Loss  0.870600, Average Loss  0.869909, Time  0.443969
2021-09-28 23:21:28.776643 : Epoch  4, Batch    414, Loss  0.863850, Average Loss  0.869834, Time  0.449661
2021-09-28 23:21:34.726832 : Epoch  4, Batch    415, Loss  0.874529, Average Loss  0.869833, Time  0.444784
2021-09-28 23:21:40.696293 : Epoch  4, Batch    416, Loss  0.882124, Average Loss  0.869905, Time  0.446135
2021-09-28 23:26:19.986779 : CheckPoint: Validation Loss  0.00015162, Best Loss  0.00014870
2021-09-28 23:26:25.982074 : Epoch  4, Batch    417, Loss  0.865489, Average Loss  0.869899, Time  0.444670
2021-09-28 23:26:31.944858 : Epoch  4, Batch    418, Loss  0.863633, Average Loss  0.869863, Time  0.455824
2021-09-28 23:26:37.894146 : Epoch  4, Batch    419, Loss  0.876250, Average Loss  0.869966, Time  0.446617
2021-09-28 23:26:43.849639 : Epoch  4, Batch    420, Loss  0.875156, Average Loss  0.870002, Time  0.447161
2021-09-28 23:26:49.779110 : Epoch  4, Batch    421, Loss  0.879468, Average Loss  0.870057, Time  0.443925
2021-09-28 23:26:55.715759 : Epoch  4, Batch    422, Loss  0.856207, Average Loss  0.870018, Time  0.444063
2021-09-28 23:27:01.658775 : Epoch  4, Batch    423, Loss  0.874106, Average Loss  0.869987, Time  0.444240
2021-09-28 23:27:07.598864 : Epoch  4, Batch    424, Loss  0.885405, Average Loss  0.870007, Time  0.445415
2021-09-28 23:27:13.550554 : Epoch  4, Batch    425, Loss  0.868118, Average Loss  0.869969, Time  0.445083
2021-09-28 23:27:19.529839 : Epoch  4, Batch    426, Loss  0.864390, Average Loss  0.869939, Time  0.460553
2021-09-28 23:27:25.490571 : Epoch  4, Batch    427, Loss  0.867802, Average Loss  0.869918, Time  0.444152
2021-09-28 23:27:31.427876 : Epoch  4, Batch    428, Loss  0.880593, Average Loss  0.869976, Time  0.444474
2021-09-28 23:27:37.376149 : Epoch  4, Batch    429, Loss  0.871833, Average Loss  0.870005, Time  0.444211
2021-09-28 23:27:43.324788 : Epoch  4, Batch    430, Loss  0.870795, Average Loss  0.869961, Time  0.444917
2021-09-28 23:27:49.264316 : Epoch  4, Batch    431, Loss  0.889342, Average Loss  0.869973, Time  0.444116
2021-09-28 23:27:55.227885 : Epoch  4, Batch    432, Loss  0.893240, Average Loss  0.870045, Time  0.445759
2021-09-28 23:28:01.189781 : Epoch  4, Batch    433, Loss  0.876969, Average Loss  0.870135, Time  0.444518
2021-09-28 23:28:07.173804 : Epoch  4, Batch    434, Loss  0.879333, Average Loss  0.870063, Time  0.458200
2021-09-28 23:28:13.133963 : Epoch  4, Batch    435, Loss  0.877036, Average Loss  0.870112, Time  0.446974
2021-09-28 23:28:19.089810 : Epoch  4, Batch    436, Loss  0.875804, Average Loss  0.870147, Time  0.445724
2021-09-28 23:28:25.039779 : Epoch  4, Batch    437, Loss  0.861451, Average Loss  0.870115, Time  0.444325
2021-09-28 23:28:30.984456 : Epoch  4, Batch    438, Loss  0.860824, Average Loss  0.870026, Time  0.448185
2021-09-28 23:28:36.921951 : Epoch  4, Batch    439, Loss  0.874366, Average Loss  0.870026, Time  0.446324
2021-09-28 23:28:42.910285 : Epoch  4, Batch    440, Loss  0.879552, Average Loss  0.870098, Time  0.446463
2021-09-28 23:28:48.873940 : Epoch  4, Batch    441, Loss  0.872254, Average Loss  0.870178, Time  0.454375
2021-09-28 23:28:54.826767 : Epoch  4, Batch    442, Loss  0.854931, Average Loss  0.870086, Time  0.444202
2021-09-28 23:29:00.785371 : Epoch  4, Batch    443, Loss  0.871094, Average Loss  0.870043, Time  0.444219
2021-09-28 23:29:06.742374 : Epoch  4, Batch    444, Loss  0.871248, Average Loss  0.869994, Time  0.444698
2021-09-28 23:29:12.710026 : Epoch  4, Batch    445, Loss  0.874371, Average Loss  0.869993, Time  0.444105
2021-09-28 23:29:18.660788 : Epoch  4, Batch    446, Loss  0.867036, Average Loss  0.869998, Time  0.450048
2021-09-28 23:29:24.605276 : Epoch  4, Batch    447, Loss  0.880351, Average Loss  0.869998, Time  0.444546
2021-09-28 23:29:30.552362 : Epoch  4, Batch    448, Loss  0.883934, Average Loss  0.870152, Time  0.445287
2021-09-28 23:29:36.505417 : Epoch  4, Batch    449, Loss  0.865678, Average Loss  0.870181, Time  0.453655
2021-09-28 23:29:42.435739 : Epoch  4, Batch    450, Loss  0.852708, Average Loss  0.870094, Time  0.444489
2021-09-28 23:29:48.396076 : Epoch  4, Batch    451, Loss  0.872210, Average Loss  0.870092, Time  0.445856
2021-09-28 23:29:54.355507 : Epoch  4, Batch    452, Loss  0.871066, Average Loss  0.870079, Time  0.445155
2021-09-28 23:30:00.302422 : Epoch  4, Batch    453, Loss  0.874604, Average Loss  0.870053, Time  0.443961
2021-09-28 23:30:06.261480 : Epoch  4, Batch    454, Loss  0.865127, Average Loss  0.870081, Time  0.445867
2021-09-28 23:30:12.232044 : Epoch  4, Batch    455, Loss  0.863746, Average Loss  0.870092, Time  0.446693
2021-09-28 23:30:16.593302 : Epoch  4, Batch    456, Loss  0.868648, Average Loss  0.870063, Time  0.346495
2021-09-28 23:30:22.568018 : Epoch  4, Batch    457, Loss  0.871454, Average Loss  0.870129, Time  0.456747
2021-09-28 23:30:28.504828 : Epoch  4, Batch    458, Loss  0.874336, Average Loss  0.870217, Time  0.447038
2021-09-28 23:30:34.459473 : Epoch  4, Batch    459, Loss  0.865228, Average Loss  0.870231, Time  0.445947
2021-09-28 23:30:40.392641 : Epoch  4, Batch    460, Loss  0.853704, Average Loss  0.870120, Time  0.443931
2021-09-28 23:30:46.337896 : Epoch  4, Batch    461, Loss  0.874884, Average Loss  0.870151, Time  0.443694
2021-09-28 23:30:52.291709 : Epoch  4, Batch    462, Loss  0.879110, Average Loss  0.870229, Time  0.444669
2021-09-28 23:30:58.250216 : Epoch  4, Batch    463, Loss  0.879896, Average Loss  0.870321, Time  0.445070
2021-09-28 23:31:04.210509 : Epoch  4, Batch    464, Loss  0.855550, Average Loss  0.870169, Time  0.447753
2021-09-28 23:31:10.173044 : Epoch  4, Batch    465, Loss  0.884175, Average Loss  0.870226, Time  0.457914
2021-09-28 23:31:16.129271 : Epoch  4, Batch    466, Loss  0.855898, Average Loss  0.870094, Time  0.446280
2021-09-28 23:31:22.083011 : Epoch  4, Batch    467, Loss  0.855101, Average Loss  0.870035, Time  0.449033
2021-09-28 23:31:28.039232 : Epoch  4, Batch    468, Loss  0.873042, Average Loss  0.870089, Time  0.446047
2021-09-28 23:31:33.998758 : Epoch  4, Batch    469, Loss  0.875541, Average Loss  0.870090, Time  0.445143
2021-09-28 23:31:39.950440 : Epoch  4, Batch    470, Loss  0.861946, Average Loss  0.870063, Time  0.444842
2021-09-28 23:31:45.910767 : Epoch  4, Batch    471, Loss  0.870675, Average Loss  0.870033, Time  0.444285
2021-09-28 23:31:51.866822 : Epoch  4, Batch    472, Loss  0.874431, Average Loss  0.870025, Time  0.450290
2021-09-28 23:31:57.840733 : Epoch  4, Batch    473, Loss  0.867078, Average Loss  0.869998, Time  0.443802
2021-09-28 23:32:03.775439 : Epoch  4, Batch    474, Loss  0.880972, Average Loss  0.870067, Time  0.444719
2021-09-28 23:32:09.733254 : Epoch  4, Batch    475, Loss  0.865708, Average Loss  0.870043, Time  0.445962
2021-09-28 23:32:15.690389 : Epoch  4, Batch    476, Loss  0.867556, Average Loss  0.870012, Time  0.445127
2021-09-28 23:32:21.628919 : Epoch  4, Batch    477, Loss  0.881442, Average Loss  0.870079, Time  0.446989
2021-09-28 23:32:27.583793 : Epoch  4, Batch    478, Loss  0.873959, Average Loss  0.870157, Time  0.446282
2021-09-28 23:32:33.537888 : Epoch  4, Batch    479, Loss  0.860571, Average Loss  0.870122, Time  0.445433
2021-09-28 23:32:39.494802 : Epoch  4, Batch    480, Loss  0.872568, Average Loss  0.870041, Time  0.451776
2021-09-28 23:32:45.450864 : Epoch  4, Batch    481, Loss  0.878142, Average Loss  0.870008, Time  0.444869
2021-09-28 23:32:51.408475 : Epoch  4, Batch    482, Loss  0.889241, Average Loss  0.870095, Time  0.444223
2021-09-28 23:32:57.370598 : Epoch  4, Batch    483, Loss  0.869288, Average Loss  0.870047, Time  0.445719
2021-09-28 23:33:03.322988 : Epoch  4, Batch    484, Loss  0.873487, Average Loss  0.870012, Time  0.445023
2021-09-28 23:33:09.270354 : Epoch  4, Batch    485, Loss  0.863994, Average Loss  0.870028, Time  0.444686
2021-09-28 23:33:15.217680 : Epoch  4, Batch    486, Loss  0.856864, Average Loss  0.869923, Time  0.447086
2021-09-28 23:33:21.160286 : Epoch  4, Batch    487, Loss  0.869528, Average Loss  0.869914, Time  0.443722
2021-09-28 23:33:27.114919 : Epoch  4, Batch    488, Loss  0.862555, Average Loss  0.869829, Time  0.453985
2021-09-28 23:33:33.049806 : Epoch  4, Batch    489, Loss  0.869418, Average Loss  0.869854, Time  0.444863
2021-09-28 23:33:38.988998 : Epoch  4, Batch    490, Loss  0.873361, Average Loss  0.869947, Time  0.444318
2021-09-28 23:33:44.938768 : Epoch  4, Batch    491, Loss  0.871306, Average Loss  0.869903, Time  0.445975
2021-09-28 23:33:50.894168 : Epoch  4, Batch    492, Loss  0.882749, Average Loss  0.870022, Time  0.444105
2021-09-28 23:33:56.845800 : Epoch  4, Batch    493, Loss  0.863804, Average Loss  0.869949, Time  0.444734
2021-09-28 23:34:02.791854 : Epoch  4, Batch    494, Loss  0.871989, Average Loss  0.870038, Time  0.444381
2021-09-28 23:34:08.760366 : Epoch  4, Batch    495, Loss  0.865973, Average Loss  0.869939, Time  0.462083
2021-09-28 23:34:14.709821 : Epoch  4, Batch    496, Loss  0.891982, Average Loss  0.870127, Time  0.445166
2021-09-28 23:34:20.676315 : Epoch  4, Batch    497, Loss  0.876086, Average Loss  0.870085, Time  0.446286
2021-09-28 23:34:26.636800 : Epoch  4, Batch    498, Loss  0.873310, Average Loss  0.870053, Time  0.447558
2021-09-28 23:34:32.589505 : Epoch  4, Batch    499, Loss  0.863172, Average Loss  0.870095, Time  0.445361
2021-09-28 23:34:38.566830 : Epoch  4, Batch    500, Loss  0.890542, Average Loss  0.870236, Time  0.447505
2021-09-28 23:34:44.532062 : Epoch  4, Batch    501, Loss  0.871597, Average Loss  0.870311, Time  0.448443
2021-09-28 23:34:50.494944 : Epoch  4, Batch    502, Loss  0.866493, Average Loss  0.870326, Time  0.448264
2021-09-28 23:34:56.460991 : Epoch  4, Batch    503, Loss  0.868943, Average Loss  0.870312, Time  0.457771
2021-09-28 23:35:02.404403 : Epoch  4, Batch    504, Loss  0.879603, Average Loss  0.870343, Time  0.449317
2021-09-28 23:35:08.346631 : Epoch  4, Batch    505, Loss  0.875216, Average Loss  0.870416, Time  0.444579
2021-09-28 23:35:14.317125 : Epoch  4, Batch    506, Loss  0.863818, Average Loss  0.870426, Time  0.444715
2021-09-28 23:35:20.262425 : Epoch  4, Batch    507, Loss  0.879041, Average Loss  0.870462, Time  0.445055
2021-09-28 23:35:26.219498 : Epoch  4, Batch    508, Loss  0.868471, Average Loss  0.870456, Time  0.446084
2021-09-28 23:35:32.162566 : Epoch  4, Batch    509, Loss  0.868690, Average Loss  0.870439, Time  0.444174
2021-09-28 23:35:38.116861 : Epoch  4, Batch    510, Loss  0.872732, Average Loss  0.870467, Time  0.446948
2021-09-28 23:35:44.084911 : Epoch  4, Batch    511, Loss  0.862798, Average Loss  0.870441, Time  0.457253
2021-09-28 23:35:50.045846 : Epoch  4, Batch    512, Loss  0.860675, Average Loss  0.870334, Time  0.446036
2021-09-28 23:35:55.998061 : Epoch  4, Batch    513, Loss  0.883584, Average Loss  0.870427, Time  0.444207
2021-09-28 23:36:01.937214 : Epoch  4, Batch    514, Loss  0.881187, Average Loss  0.870530, Time  0.446700
2021-09-28 23:36:07.880841 : Epoch  4, Batch    515, Loss  0.861371, Average Loss  0.870510, Time  0.445891
2021-09-28 23:36:13.833884 : Epoch  4, Batch    516, Loss  0.867372, Average Loss  0.870505, Time  0.448966
2021-09-28 23:40:52.121338 : CheckPoint: Validation Loss  0.00015172, Best Loss  0.00014870
2021-09-28 23:40:58.098167 : Epoch  4, Batch    517, Loss  0.867909, Average Loss  0.870495, Time  0.445601
2021-09-28 23:41:04.042326 : Epoch  4, Batch    518, Loss  0.877726, Average Loss  0.870487, Time  0.452780
2021-09-28 23:41:09.998781 : Epoch  4, Batch    519, Loss  0.859861, Average Loss  0.870441, Time  0.447482
2021-09-28 23:41:15.953058 : Epoch  4, Batch    520, Loss  0.867423, Average Loss  0.870468, Time  0.449199
2021-09-28 23:41:21.901409 : Epoch  4, Batch    521, Loss  0.879975, Average Loss  0.870537, Time  0.449863
2021-09-28 23:41:27.846781 : Epoch  4, Batch    522, Loss  0.858505, Average Loss  0.870530, Time  0.443985
2021-09-28 23:41:33.806846 : Epoch  4, Batch    523, Loss  0.873057, Average Loss  0.870546, Time  0.448660
2021-09-28 23:41:39.758201 : Epoch  4, Batch    524, Loss  0.886316, Average Loss  0.870645, Time  0.445944
2021-09-28 23:41:45.715314 : Epoch  4, Batch    525, Loss  0.877072, Average Loss  0.870697, Time  0.445226
2021-09-28 23:41:51.673893 : Epoch  4, Batch    526, Loss  0.875682, Average Loss  0.870735, Time  0.453099
2021-09-28 23:41:57.648100 : Epoch  4, Batch    527, Loss  0.868923, Average Loss  0.870719, Time  0.446336
2021-09-28 23:42:03.608023 : Epoch  4, Batch    528, Loss  0.858460, Average Loss  0.870622, Time  0.447328
2021-09-28 23:42:09.554223 : Epoch  4, Batch    529, Loss  0.853976, Average Loss  0.870580, Time  0.445600
2021-09-28 23:42:15.510450 : Epoch  4, Batch    530, Loss  0.867996, Average Loss  0.870517, Time  0.444797
2021-09-28 23:42:21.458789 : Epoch  4, Batch    531, Loss  0.874335, Average Loss  0.870525, Time  0.446517
2021-09-28 23:42:27.403776 : Epoch  4, Batch    532, Loss  0.870112, Average Loss  0.870575, Time  0.444394
2021-09-28 23:42:33.357778 : Epoch  4, Batch    533, Loss  0.887815, Average Loss  0.870603, Time  0.444002
2021-09-28 23:42:39.334413 : Epoch  4, Batch    534, Loss  0.876660, Average Loss  0.870648, Time  0.462982
2021-09-28 23:42:45.308388 : Epoch  4, Batch    535, Loss  0.870897, Average Loss  0.870729, Time  0.444071
2021-09-28 23:42:51.262731 : Epoch  4, Batch    536, Loss  0.866964, Average Loss  0.870638, Time  0.443966
2021-09-28 23:42:57.195934 : Epoch  4, Batch    537, Loss  0.869876, Average Loss  0.870682, Time  0.445388
2021-09-28 23:43:03.135155 : Epoch  4, Batch    538, Loss  0.860419, Average Loss  0.870603, Time  0.444446
2021-09-28 23:43:09.086409 : Epoch  4, Batch    539, Loss  0.867512, Average Loss  0.870525, Time  0.446975
2021-09-28 23:43:15.024978 : Epoch  4, Batch    540, Loss  0.863991, Average Loss  0.870498, Time  0.444982
2021-09-28 23:43:20.972129 : Epoch  4, Batch    541, Loss  0.859103, Average Loss  0.870406, Time  0.445593
2021-09-28 23:43:26.932514 : Epoch  4, Batch    542, Loss  0.877667, Average Loss  0.870436, Time  0.453232
2021-09-28 23:43:32.885302 : Epoch  4, Batch    543, Loss  0.869129, Average Loss  0.870440, Time  0.444902
2021-09-28 23:43:38.837168 : Epoch  4, Batch    544, Loss  0.854214, Average Loss  0.870311, Time  0.447011
2021-09-28 23:43:44.790098 : Epoch  4, Batch    545, Loss  0.861343, Average Loss  0.870360, Time  0.445331
2021-09-28 23:43:50.737788 : Epoch  4, Batch    546, Loss  0.859055, Average Loss  0.870390, Time  0.445807
2021-09-28 23:43:56.687829 : Epoch  4, Batch    547, Loss  0.863444, Average Loss  0.870315, Time  0.446974
2021-09-28 23:44:02.646939 : Epoch  4, Batch    548, Loss  0.873685, Average Loss  0.870298, Time  0.445089
2021-09-28 23:44:08.618915 : Epoch  4, Batch    549, Loss  0.865297, Average Loss  0.870198, Time  0.458889
2021-09-28 23:44:14.574598 : Epoch  4, Batch    550, Loss  0.867885, Average Loss  0.870170, Time  0.448634
2021-09-28 23:44:20.515884 : Epoch  4, Batch    551, Loss  0.875234, Average Loss  0.870207, Time  0.446279
2021-09-28 23:44:26.460767 : Epoch  4, Batch    552, Loss  0.880779, Average Loss  0.870294, Time  0.447229
2021-09-28 23:44:32.410775 : Epoch  4, Batch    553, Loss  0.881427, Average Loss  0.870368, Time  0.444586
2021-09-28 23:44:38.364053 : Epoch  4, Batch    554, Loss  0.857573, Average Loss  0.870327, Time  0.446946
2021-09-28 23:44:44.317917 : Epoch  4, Batch    555, Loss  0.868869, Average Loss  0.870307, Time  0.464920
2021-09-28 23:44:50.262648 : Epoch  4, Batch    556, Loss  0.872880, Average Loss  0.870340, Time  0.448094
2021-09-28 23:44:56.218087 : Epoch  4, Batch    557, Loss  0.859436, Average Loss  0.870329, Time  0.461829
2021-09-28 23:45:02.188050 : Epoch  4, Batch    558, Loss  0.880127, Average Loss  0.870437, Time  0.444711
2021-09-28 23:45:08.127040 : Epoch  4, Batch    559, Loss  0.851454, Average Loss  0.870356, Time  0.445442
2021-09-28 23:45:14.080827 : Epoch  4, Batch    560, Loss  0.869239, Average Loss  0.870433, Time  0.445705
2021-09-28 23:45:20.030399 : Epoch  4, Batch    561, Loss  0.860739, Average Loss  0.870424, Time  0.447553
2021-09-28 23:45:25.984004 : Epoch  4, Batch    562, Loss  0.862423, Average Loss  0.870419, Time  0.445975
2021-09-28 23:45:31.930249 : Epoch  4, Batch    563, Loss  0.870962, Average Loss  0.870464, Time  0.446789
2021-09-28 23:45:37.876423 : Epoch  4, Batch    564, Loss  0.887769, Average Loss  0.870567, Time  0.444846
2021-09-28 23:45:43.827517 : Epoch  4, Batch    565, Loss  0.870661, Average Loss  0.870559, Time  0.461498
2021-09-28 23:45:49.771823 : Epoch  4, Batch    566, Loss  0.873449, Average Loss  0.870517, Time  0.444961
2021-09-28 23:45:55.723035 : Epoch  4, Batch    567, Loss  0.888799, Average Loss  0.870603, Time  0.450891
2021-09-28 23:46:01.646479 : Epoch  4, Batch    568, Loss  0.891107, Average Loss  0.870718, Time  0.444311
2021-09-28 23:46:07.593585 : Epoch  4, Batch    569, Loss  0.877372, Average Loss  0.870751, Time  0.444586
2021-09-28 23:46:13.546620 : Epoch  4, Batch    570, Loss  0.873453, Average Loss  0.870843, Time  0.448461
2021-09-28 23:46:19.520819 : Epoch  4, Batch    571, Loss  0.871665, Average Loss  0.870868, Time  0.448973
2021-09-28 23:46:25.464925 : Epoch  4, Batch    572, Loss  0.886359, Average Loss  0.870930, Time  0.443895
2021-09-28 23:46:31.421098 : Epoch  4, Batch    573, Loss  0.849713, Average Loss  0.870812, Time  0.453611
2021-09-28 23:46:37.360271 : Epoch  4, Batch    574, Loss  0.873942, Average Loss  0.870887, Time  0.447954
2021-09-28 23:46:43.302876 : Epoch  4, Batch    575, Loss  0.871402, Average Loss  0.870841, Time  0.444165
2021-09-28 23:46:49.244819 : Epoch  4, Batch    576, Loss  0.871665, Average Loss  0.870877, Time  0.447977
2021-09-28 23:46:55.187923 : Epoch  4, Batch    577, Loss  0.858790, Average Loss  0.870752, Time  0.444868
2021-09-28 23:47:01.112068 : Epoch  4, Batch    578, Loss  0.870489, Average Loss  0.870732, Time  0.444649
2021-09-28 23:47:07.055121 : Epoch  4, Batch    579, Loss  0.870641, Average Loss  0.870760, Time  0.449137
2021-09-28 23:47:12.989474 : Epoch  4, Batch    580, Loss  0.871596, Average Loss  0.870828, Time  0.445559
2021-09-28 23:47:18.968758 : Epoch  4, Batch    581, Loss  0.868729, Average Loss  0.870862, Time  0.460970
2021-09-28 23:47:24.908768 : Epoch  4, Batch    582, Loss  0.860905, Average Loss  0.870773, Time  0.444823
2021-09-28 23:47:30.857928 : Epoch  4, Batch    583, Loss  0.870975, Average Loss  0.870813, Time  0.445313
2021-09-28 23:47:36.785156 : Epoch  4, Batch    584, Loss  0.863787, Average Loss  0.870758, Time  0.445304
2021-09-28 23:47:42.742742 : Epoch  4, Batch    585, Loss  0.867863, Average Loss  0.870762, Time  0.445010
2021-09-28 23:47:48.692915 : Epoch  4, Batch    586, Loss  0.865492, Average Loss  0.870737, Time  0.445676
2021-09-28 23:47:54.634173 : Epoch  4, Batch    587, Loss  0.884167, Average Loss  0.870826, Time  0.445422
2021-09-28 23:48:00.592943 : Epoch  4, Batch    588, Loss  0.872188, Average Loss  0.870783, Time  0.457240
2021-09-28 23:48:06.529578 : Epoch  4, Batch    589, Loss  0.880220, Average Loss  0.870823, Time  0.443805
2021-09-28 23:48:12.454613 : Epoch  4, Batch    590, Loss  0.866431, Average Loss  0.870753, Time  0.444545
2021-09-28 23:48:18.388855 : Epoch  4, Batch    591, Loss  0.859867, Average Loss  0.870704, Time  0.446716
2021-09-28 23:48:24.334908 : Epoch  4, Batch    592, Loss  0.869082, Average Loss  0.870747, Time  0.445751
2021-09-28 23:48:30.292687 : Epoch  4, Batch    593, Loss  0.878950, Average Loss  0.870837, Time  0.445346
2021-09-28 23:48:36.255156 : Epoch  4, Batch    594, Loss  0.888594, Average Loss  0.870885, Time  0.447385
2021-09-28 23:48:42.194792 : Epoch  4, Batch    595, Loss  0.869925, Average Loss  0.870931, Time  0.444013
2021-09-28 23:48:48.164259 : Epoch  4, Batch    596, Loss  0.874055, Average Loss  0.870980, Time  0.464111
2021-09-28 23:48:54.097468 : Epoch  4, Batch    597, Loss  0.868310, Average Loss  0.870945, Time  0.443743
2021-09-28 23:49:00.033753 : Epoch  4, Batch    598, Loss  0.882428, Average Loss  0.870968, Time  0.444600
2021-09-28 23:49:05.957317 : Epoch  4, Batch    599, Loss  0.877544, Average Loss  0.870957, Time  0.447221
2021-09-28 23:49:11.889352 : Epoch  4, Batch    600, Loss  0.857244, Average Loss  0.870895, Time  0.445270
2021-09-28 23:49:17.841786 : Epoch  4, Batch    601, Loss  0.881830, Average Loss  0.871032, Time  0.444711
2021-09-28 23:49:23.794893 : Epoch  4, Batch    602, Loss  0.876278, Average Loss  0.871050, Time  0.446600
2021-09-28 23:49:29.734829 : Epoch  4, Batch    603, Loss  0.869646, Average Loss  0.871036, Time  0.443853
2021-09-28 23:49:35.681290 : Epoch  4, Batch    604, Loss  0.881853, Average Loss  0.871060, Time  0.459532
2021-09-28 23:49:41.626887 : Epoch  4, Batch    605, Loss  0.874507, Average Loss  0.871063, Time  0.446245
2021-09-28 23:49:47.559226 : Epoch  4, Batch    606, Loss  0.880829, Average Loss  0.871171, Time  0.445670
2021-09-28 23:49:53.498739 : Epoch  4, Batch    607, Loss  0.867169, Average Loss  0.871171, Time  0.445913
2021-09-28 23:49:59.437996 : Epoch  4, Batch    608, Loss  0.870275, Average Loss  0.871161, Time  0.445194
2021-09-28 23:50:05.383929 : Epoch  4, Batch    609, Loss  0.871654, Average Loss  0.871170, Time  0.444272
2021-09-28 23:50:11.318563 : Epoch  4, Batch    610, Loss  0.875480, Average Loss  0.871194, Time  0.445158
2021-09-28 23:50:17.257299 : Epoch  4, Batch    611, Loss  0.872282, Average Loss  0.871183, Time  0.444839
2021-09-28 23:50:23.216122 : Epoch  4, Batch    612, Loss  0.876595, Average Loss  0.871190, Time  0.455033
2021-09-28 23:50:29.133817 : Epoch  4, Batch    613, Loss  0.861261, Average Loss  0.871143, Time  0.444588
2021-09-28 23:50:35.085906 : Epoch  4, Batch    614, Loss  0.864525, Average Loss  0.871146, Time  0.446688
2021-09-28 23:50:41.022185 : Epoch  4, Batch    615, Loss  0.876170, Average Loss  0.871155, Time  0.444961
2021-09-28 23:50:46.978135 : Epoch  4, Batch    616, Loss  0.846550, Average Loss  0.870977, Time  0.444509
2021-09-28 23:55:26.504165 : CheckPoint: Validation Loss  0.00015493, Best Loss  0.00014870
2021-09-28 23:55:32.452324 : Epoch  4, Batch    617, Loss  0.884320, Average Loss  0.871071, Time  0.444438
2021-09-28 23:55:38.370176 : Epoch  4, Batch    618, Loss  0.876235, Average Loss  0.871134, Time  0.445827
2021-09-28 23:55:44.282395 : Epoch  4, Batch    619, Loss  0.871744, Average Loss  0.871111, Time  0.458058
2021-09-28 23:55:50.211524 : Epoch  4, Batch    620, Loss  0.879103, Average Loss  0.871131, Time  0.445790
2021-09-28 23:55:56.126290 : Epoch  4, Batch    621, Loss  0.862728, Average Loss  0.871047, Time  0.445383
2021-09-28 23:56:02.047257 : Epoch  4, Batch    622, Loss  0.871426, Average Loss  0.871123, Time  0.445508
2021-09-28 23:56:07.950778 : Epoch  4, Batch    623, Loss  0.870500, Average Loss  0.871105, Time  0.445098
2021-09-28 23:56:13.853354 : Epoch  4, Batch    624, Loss  0.884941, Average Loss  0.871103, Time  0.445122
2021-09-28 23:56:19.753788 : Epoch  4, Batch    625, Loss  0.865917, Average Loss  0.871092, Time  0.444430
2021-09-28 23:56:25.656116 : Epoch  4, Batch    626, Loss  0.885299, Average Loss  0.871197, Time  0.444869
2021-09-28 23:56:31.599342 : Epoch  4, Batch    627, Loss  0.866986, Average Loss  0.871193, Time  0.465060
2021-09-28 23:56:37.531371 : Epoch  4, Batch    628, Loss  0.871526, Average Loss  0.871147, Time  0.444502
2021-09-28 23:56:43.426162 : Epoch  4, Batch    629, Loss  0.877930, Average Loss  0.871178, Time  0.446923
2021-09-28 23:56:49.327182 : Epoch  4, Batch    630, Loss  0.868199, Average Loss  0.871165, Time  0.444006
2021-09-28 23:56:55.228493 : Epoch  4, Batch    631, Loss  0.882674, Average Loss  0.871131, Time  0.448481
2021-09-28 23:57:01.115269 : Epoch  4, Batch    632, Loss  0.857202, Average Loss  0.870951, Time  0.444502
2021-09-28 23:57:07.030168 : Epoch  4, Batch    633, Loss  0.882238, Average Loss  0.870977, Time  0.446969
2021-09-28 23:57:12.933242 : Epoch  4, Batch    634, Loss  0.854004, Average Loss  0.870851, Time  0.447994
2021-09-28 23:57:18.850472 : Epoch  4, Batch    635, Loss  0.873115, Average Loss  0.870831, Time  0.454248
2021-09-28 23:57:24.746313 : Epoch  4, Batch    636, Loss  0.866558, Average Loss  0.870785, Time  0.447522
2021-09-28 23:57:30.646767 : Epoch  4, Batch    637, Loss  0.868514, Average Loss  0.870820, Time  0.444089
2021-09-28 23:57:36.558095 : Epoch  4, Batch    638, Loss  0.861334, Average Loss  0.870823, Time  0.445162
2021-09-28 23:57:42.474925 : Epoch  4, Batch    639, Loss  0.870033, Average Loss  0.870801, Time  0.447085
2021-09-28 23:57:48.366233 : Epoch  4, Batch    640, Loss  0.851122, Average Loss  0.870659, Time  0.450107
2021-09-28 23:57:54.254241 : Epoch  4, Batch    641, Loss  0.883548, Average Loss  0.870716, Time  0.445426
2021-09-28 23:58:00.152810 : Epoch  4, Batch    642, Loss  0.876367, Average Loss  0.870823, Time  0.446478
2021-09-28 23:58:06.063123 : Epoch  4, Batch    643, Loss  0.869422, Average Loss  0.870814, Time  0.457782
2021-09-28 23:58:11.961834 : Epoch  4, Batch    644, Loss  0.863579, Average Loss  0.870776, Time  0.444487
2021-09-28 23:58:17.854615 : Epoch  4, Batch    645, Loss  0.875699, Average Loss  0.870783, Time  0.444209
2021-09-28 23:58:23.759213 : Epoch  4, Batch    646, Loss  0.879786, Average Loss  0.870846, Time  0.444861
2021-09-28 23:58:29.649702 : Epoch  4, Batch    647, Loss  0.881497, Average Loss  0.870852, Time  0.444003
2021-09-28 23:58:35.554654 : Epoch  4, Batch    648, Loss  0.858767, Average Loss  0.870726, Time  0.447802
2021-09-28 23:58:41.459118 : Epoch  4, Batch    649, Loss  0.875269, Average Loss  0.870774, Time  0.444208
2021-09-28 23:58:47.370893 : Epoch  4, Batch    650, Loss  0.878732, Average Loss  0.870904, Time  0.444551
2021-09-28 23:58:53.296031 : Epoch  4, Batch    651, Loss  0.877722, Average Loss  0.870932, Time  0.462018
2021-09-28 23:58:59.195957 : Epoch  4, Batch    652, Loss  0.884237, Average Loss  0.870998, Time  0.448197
2021-09-28 23:59:05.100139 : Epoch  4, Batch    653, Loss  0.880612, Average Loss  0.871028, Time  0.445162
2021-09-28 23:59:11.004055 : Epoch  4, Batch    654, Loss  0.880019, Average Loss  0.871102, Time  0.446488
2021-09-28 23:59:16.909825 : Epoch  4, Batch    655, Loss  0.868904, Average Loss  0.871128, Time  0.448296
2021-09-28 23:59:22.825439 : Epoch  4, Batch    656, Loss  0.870128, Average Loss  0.871135, Time  0.445648
2021-09-28 23:59:28.715892 : Epoch  4, Batch    657, Loss  0.862192, Average Loss  0.871089, Time  0.445063
2021-09-28 23:59:34.610804 : Epoch  4, Batch    658, Loss  0.867993, Average Loss  0.871057, Time  0.444492
2021-09-28 23:59:40.532669 : Epoch  4, Batch    659, Loss  0.884798, Average Loss  0.871155, Time  0.457064
2021-09-28 23:59:46.443307 : Epoch  4, Batch    660, Loss  0.874394, Average Loss  0.871259, Time  0.445650
2021-09-28 23:59:52.337109 : Epoch  4, Batch    661, Loss  0.883440, Average Loss  0.871302, Time  0.444555
2021-09-28 23:59:58.234801 : Epoch  4, Batch    662, Loss  0.866512, Average Loss  0.871239, Time  0.443940
2021-09-29 00:00:04.130503 : Epoch  4, Batch    663, Loss  0.872938, Average Loss  0.871204, Time  0.446324
2021-09-29 00:00:10.032410 : Epoch  4, Batch    664, Loss  0.875383, Average Loss  0.871303, Time  0.445826
2021-09-29 00:00:15.940099 : Epoch  4, Batch    665, Loss  0.867017, Average Loss  0.871217, Time  0.446485
2021-09-29 00:00:21.849902 : Epoch  4, Batch    666, Loss  0.862338, Average Loss  0.871249, Time  0.447092
2021-09-29 00:00:27.774807 : Epoch  4, Batch    667, Loss  0.871601, Average Loss  0.871332, Time  0.459219
2021-09-29 00:00:33.681707 : Epoch  4, Batch    668, Loss  0.858424, Average Loss  0.871259, Time  0.446697
2021-09-29 00:00:39.579078 : Epoch  4, Batch    669, Loss  0.872104, Average Loss  0.871242, Time  0.445255
2021-09-29 00:00:45.479034 : Epoch  4, Batch    670, Loss  0.873927, Average Loss  0.871301, Time  0.447505
2021-09-29 00:00:51.390406 : Epoch  4, Batch    671, Loss  0.869053, Average Loss  0.871293, Time  0.445990
2021-09-29 00:00:57.285369 : Epoch  4, Batch    672, Loss  0.883496, Average Loss  0.871339, Time  0.444124
2021-09-29 00:01:03.177125 : Epoch  4, Batch    673, Loss  0.882293, Average Loss  0.871415, Time  0.445116
2021-09-29 00:01:09.074154 : Epoch  4, Batch    674, Loss  0.867844, Average Loss  0.871349, Time  0.445587
2021-09-29 00:01:14.991345 : Epoch  4, Batch    675, Loss  0.884991, Average Loss  0.871446, Time  0.456033
2021-09-29 00:01:20.873827 : Epoch  4, Batch    676, Loss  0.879742, Average Loss  0.871506, Time  0.444871
2021-09-29 00:01:26.781340 : Epoch  4, Batch    677, Loss  0.861897, Average Loss  0.871409, Time  0.446335
2021-09-29 00:01:32.695226 : Epoch  4, Batch    678, Loss  0.870070, Average Loss  0.871389, Time  0.444402
2021-09-29 00:01:38.598568 : Epoch  4, Batch    679, Loss  0.872167, Average Loss  0.871447, Time  0.447221
2021-09-29 00:01:44.509855 : Epoch  4, Batch    680, Loss  0.870809, Average Loss  0.871438, Time  0.446215
2021-09-29 00:01:50.409778 : Epoch  4, Batch    681, Loss  0.874571, Average Loss  0.871421, Time  0.446177
2021-09-29 00:01:56.308135 : Epoch  4, Batch    682, Loss  0.878812, Average Loss  0.871368, Time  0.445156
2021-09-29 00:02:02.211764 : Epoch  4, Batch    683, Loss  0.861694, Average Loss  0.871331, Time  0.457748
2021-09-29 00:02:08.111466 : Epoch  4, Batch    684, Loss  0.886179, Average Loss  0.871394, Time  0.446686
2021-09-29 00:02:14.002108 : Epoch  4, Batch    685, Loss  0.865465, Average Loss  0.871401, Time  0.445024
2021-09-29 00:02:19.910864 : Epoch  4, Batch    686, Loss  0.879807, Average Loss  0.871516, Time  0.445064
2021-09-29 00:02:25.818611 : Epoch  4, Batch    687, Loss  0.862388, Average Loss  0.871480, Time  0.445178
2021-09-29 00:02:31.716769 : Epoch  4, Batch    688, Loss  0.866524, Average Loss  0.871500, Time  0.445933
2021-09-29 00:02:37.615108 : Epoch  4, Batch    689, Loss  0.857348, Average Loss  0.871440, Time  0.445796
2021-09-29 00:02:43.533419 : Epoch  4, Batch    690, Loss  0.857103, Average Loss  0.871359, Time  0.455554
2021-09-29 00:02:49.435007 : Epoch  4, Batch    691, Loss  0.872559, Average Loss  0.871365, Time  0.445931
2021-09-29 00:02:55.329831 : Epoch  4, Batch    692, Loss  0.869525, Average Loss  0.871299, Time  0.443478
2021-09-29 00:03:01.242191 : Epoch  4, Batch    693, Loss  0.880235, Average Loss  0.871381, Time  0.443917
2021-09-29 00:03:07.142444 : Epoch  4, Batch    694, Loss  0.871945, Average Loss  0.871381, Time  0.445133
2021-09-29 00:03:13.052054 : Epoch  4, Batch    695, Loss  0.868859, Average Loss  0.871395, Time  0.446768
2021-09-29 00:03:18.951259 : Epoch  4, Batch    696, Loss  0.890444, Average Loss  0.871387, Time  0.446959
2021-09-29 00:03:24.844033 : Epoch  4, Batch    697, Loss  0.863673, Average Loss  0.871325, Time  0.444505
2021-09-29 00:03:30.751797 : Epoch  4, Batch    698, Loss  0.874806, Average Loss  0.871333, Time  0.460551
2021-09-29 00:03:36.660889 : Epoch  4, Batch    699, Loss  0.862529, Average Loss  0.871330, Time  0.448169
2021-09-29 00:03:42.553768 : Epoch  4, Batch    700, Loss  0.877803, Average Loss  0.871266, Time  0.445478
2021-09-29 00:03:48.441590 : Epoch  4, Batch    701, Loss  0.860392, Average Loss  0.871210, Time  0.444500
2021-09-29 00:03:54.344801 : Epoch  4, Batch    702, Loss  0.871155, Average Loss  0.871233, Time  0.445229
2021-09-29 00:04:00.256817 : Epoch  4, Batch    703, Loss  0.866156, Average Loss  0.871219, Time  0.444463
2021-09-29 00:04:06.151736 : Epoch  4, Batch    704, Loss  0.866245, Average Loss  0.871152, Time  0.445490
2021-09-29 00:04:12.066780 : Epoch  4, Batch    705, Loss  0.877913, Average Loss  0.871166, Time  0.445980
2021-09-29 00:04:17.984737 : Epoch  4, Batch    706, Loss  0.885018, Average Loss  0.871272, Time  0.455196
2021-09-29 00:04:23.889414 : Epoch  4, Batch    707, Loss  0.865453, Average Loss  0.871204, Time  0.444939
2021-09-29 00:04:29.778685 : Epoch  4, Batch    708, Loss  0.864463, Average Loss  0.871184, Time  0.445613
2021-09-29 00:04:35.679333 : Epoch  4, Batch    709, Loss  0.867275, Average Loss  0.871177, Time  0.448339
2021-09-29 00:04:41.587829 : Epoch  4, Batch    710, Loss  0.870825, Average Loss  0.871167, Time  0.446331
2021-09-29 00:04:47.468859 : Epoch  4, Batch    711, Loss  0.879057, Average Loss  0.871249, Time  0.444418
2021-09-29 00:04:53.376369 : Epoch  4, Batch    712, Loss  0.877642, Average Loss  0.871333, Time  0.444263
2021-09-29 00:04:59.270381 : Epoch  4, Batch    713, Loss  0.870139, Average Loss  0.871266, Time  0.444786
2021-09-29 00:05:05.180740 : Epoch  4, Batch    714, Loss  0.888991, Average Loss  0.871305, Time  0.458183
2021-09-29 00:05:11.089046 : Epoch  4, Batch    715, Loss  0.873156, Average Loss  0.871364, Time  0.445310
2021-09-29 00:05:16.987673 : Epoch  4, Batch    716, Loss  0.861879, Average Loss  0.871337, Time  0.445097
2021-09-29 00:09:56.383327 : CheckPoint: Validation Loss  0.00015324, Best Loss  0.00014870
2021-09-29 00:10:02.319714 : Epoch  4, Batch    717, Loss  0.872537, Average Loss  0.871360, Time  0.447799
2021-09-29 00:10:08.217600 : Epoch  4, Batch    718, Loss  0.860279, Average Loss  0.871273, Time  0.444038
2021-09-29 00:10:14.117070 : Epoch  4, Batch    719, Loss  0.867176, Average Loss  0.871309, Time  0.445638
2021-09-29 00:10:20.015387 : Epoch  4, Batch    720, Loss  0.865002, Average Loss  0.871297, Time  0.444050
2021-09-29 00:10:25.939571 : Epoch  4, Batch    721, Loss  0.881894, Average Loss  0.871307, Time  0.457030
2021-09-29 00:10:31.846054 : Epoch  4, Batch    722, Loss  0.860217, Average Loss  0.871315, Time  0.446569
2021-09-29 00:10:37.747442 : Epoch  4, Batch    723, Loss  0.880178, Average Loss  0.871351, Time  0.443772
2021-09-29 00:10:43.653709 : Epoch  4, Batch    724, Loss  0.869961, Average Loss  0.871269, Time  0.448641
2021-09-29 00:10:49.582739 : Epoch  4, Batch    725, Loss  0.849135, Average Loss  0.871129, Time  0.448916
2021-09-29 00:10:55.488027 : Epoch  4, Batch    726, Loss  0.865208, Average Loss  0.871077, Time  0.445137
2021-09-29 00:11:01.396086 : Epoch  4, Batch    727, Loss  0.867633, Average Loss  0.871071, Time  0.450786
2021-09-29 00:11:07.292692 : Epoch  4, Batch    728, Loss  0.879261, Average Loss  0.871175, Time  0.445130
2021-09-29 00:11:13.205542 : Epoch  4, Batch    729, Loss  0.879342, Average Loss  0.871301, Time  0.458738
2021-09-29 00:11:19.113890 : Epoch  4, Batch    730, Loss  0.865948, Average Loss  0.871291, Time  0.445934
2021-09-29 00:11:25.040856 : Epoch  4, Batch    731, Loss  0.867435, Average Loss  0.871257, Time  0.444680
2021-09-29 00:11:30.938135 : Epoch  4, Batch    732, Loss  0.876776, Average Loss  0.871290, Time  0.446246
2021-09-29 00:11:36.839654 : Epoch  4, Batch    733, Loss  0.869877, Average Loss  0.871200, Time  0.445829
2021-09-29 00:11:42.729892 : Epoch  4, Batch    734, Loss  0.868705, Average Loss  0.871161, Time  0.445204
2021-09-29 00:11:48.622844 : Epoch  4, Batch    735, Loss  0.866316, Average Loss  0.871138, Time  0.446759
2021-09-29 00:11:54.539304 : Epoch  4, Batch    736, Loss  0.881025, Average Loss  0.871208, Time  0.455545
2021-09-29 00:12:00.430924 : Epoch  4, Batch    737, Loss  0.868764, Average Loss  0.871202, Time  0.444860
2021-09-29 00:12:06.344818 : Epoch  4, Batch    738, Loss  0.866498, Average Loss  0.871233, Time  0.446363
2021-09-29 00:12:12.252517 : Epoch  4, Batch    739, Loss  0.864585, Average Loss  0.871218, Time  0.451260
2021-09-29 00:12:18.139180 : Epoch  4, Batch    740, Loss  0.870536, Average Loss  0.871251, Time  0.444782
2021-09-29 00:12:24.036736 : Epoch  4, Batch    741, Loss  0.868400, Average Loss  0.871297, Time  0.444513
2021-09-29 00:12:29.931793 : Epoch  4, Batch    742, Loss  0.864541, Average Loss  0.871232, Time  0.445018
2021-09-29 00:12:35.825451 : Epoch  4, Batch    743, Loss  0.847976, Average Loss  0.871126, Time  0.443756
2021-09-29 00:12:41.734766 : Epoch  4, Batch    744, Loss  0.864557, Average Loss  0.871178, Time  0.463259
2021-09-29 00:12:47.629773 : Epoch  4, Batch    745, Loss  0.880979, Average Loss  0.871276, Time  0.444056
2021-09-29 00:12:53.533972 : Epoch  4, Batch    746, Loss  0.875460, Average Loss  0.871358, Time  0.444073
2021-09-29 00:12:59.438679 : Epoch  4, Batch    747, Loss  0.875424, Average Loss  0.871418, Time  0.447052
2021-09-29 00:13:05.339138 : Epoch  4, Batch    748, Loss  0.877636, Average Loss  0.871438, Time  0.445118
2021-09-29 00:13:11.250511 : Epoch  4, Batch    749, Loss  0.883919, Average Loss  0.871531, Time  0.447515
2021-09-29 00:13:17.151503 : Epoch  4, Batch    750, Loss  0.861992, Average Loss  0.871501, Time  0.445091
2021-09-29 00:13:23.049021 : Epoch  4, Batch    751, Loss  0.876481, Average Loss  0.871507, Time  0.447426
2021-09-29 00:13:28.954196 : Epoch  4, Batch    752, Loss  0.867442, Average Loss  0.871441, Time  0.455943
2021-09-29 00:13:34.858092 : Epoch  4, Batch    753, Loss  0.865062, Average Loss  0.871359, Time  0.444323
2021-09-29 00:13:40.759908 : Epoch  4, Batch    754, Loss  0.869299, Average Loss  0.871418, Time  0.444802
2021-09-29 00:13:46.666789 : Epoch  4, Batch    755, Loss  0.866292, Average Loss  0.871405, Time  0.443774
2021-09-29 00:13:52.575963 : Epoch  4, Batch    756, Loss  0.869399, Average Loss  0.871387, Time  0.450236
2021-09-29 00:13:58.487523 : Epoch  4, Batch    757, Loss  0.871459, Average Loss  0.871447, Time  0.445294
2021-09-29 00:14:04.389714 : Epoch  4, Batch    758, Loss  0.857326, Average Loss  0.871333, Time  0.444261
2021-09-29 00:14:10.282056 : Epoch  4, Batch    759, Loss  0.858157, Average Loss  0.871367, Time  0.444534
2021-09-29 00:14:16.200926 : Epoch  4, Batch    760, Loss  0.875457, Average Loss  0.871398, Time  0.457580
2021-09-29 00:14:22.105516 : Epoch  4, Batch    761, Loss  0.869641, Average Loss  0.871442, Time  0.444170
2021-09-29 00:14:28.002551 : Epoch  4, Batch    762, Loss  0.879244, Average Loss  0.871527, Time  0.445871
2021-09-29 00:14:33.929385 : Epoch  4, Batch    763, Loss  0.881552, Average Loss  0.871580, Time  0.445238
2021-09-29 00:14:39.839150 : Epoch  4, Batch    764, Loss  0.868371, Average Loss  0.871483, Time  0.447382
2021-09-29 00:14:45.739773 : Epoch  4, Batch    765, Loss  0.871873, Average Loss  0.871489, Time  0.446689
2021-09-29 00:14:51.652482 : Epoch  4, Batch    766, Loss  0.863911, Average Loss  0.871441, Time  0.445548
2021-09-29 00:14:57.559542 : Epoch  4, Batch    767, Loss  0.866068, Average Loss  0.871327, Time  0.444181
2021-09-29 00:15:03.469677 : Epoch  4, Batch    768, Loss  0.872908, Average Loss  0.871236, Time  0.459053
2021-09-29 00:15:09.384877 : Epoch  4, Batch    769, Loss  0.864602, Average Loss  0.871172, Time  0.445936
2021-09-29 00:15:15.280761 : Epoch  4, Batch    770, Loss  0.856003, Average Loss  0.871085, Time  0.445441
2021-09-29 00:15:21.171811 : Epoch  4, Batch    771, Loss  0.877859, Average Loss  0.871116, Time  0.444949
2021-09-29 00:15:27.075790 : Epoch  4, Batch    772, Loss  0.859339, Average Loss  0.870981, Time  0.448730
2021-09-29 00:15:32.988517 : Epoch  4, Batch    773, Loss  0.865007, Average Loss  0.871057, Time  0.445232
2021-09-29 00:15:38.892273 : Epoch  4, Batch    774, Loss  0.877971, Average Loss  0.871078, Time  0.448501
2021-09-29 00:15:44.781861 : Epoch  4, Batch    775, Loss  0.873329, Average Loss  0.871087, Time  0.446305
2021-09-29 00:15:50.678636 : Epoch  4, Batch    776, Loss  0.858661, Average Loss  0.871022, Time  0.453400
2021-09-29 00:15:56.569964 : Epoch  4, Batch    777, Loss  0.854971, Average Loss  0.871003, Time  0.445122
2021-09-29 00:16:02.455931 : Epoch  4, Batch    778, Loss  0.882365, Average Loss  0.871063, Time  0.443736
2021-09-29 00:16:08.358567 : Epoch  4, Batch    779, Loss  0.864074, Average Loss  0.871030, Time  0.445539
2021-09-29 00:16:14.259982 : Epoch  4, Batch    780, Loss  0.889109, Average Loss  0.871117, Time  0.445618
2021-09-29 00:16:20.176791 : Epoch  4, Batch    781, Loss  0.886926, Average Loss  0.871208, Time  0.446140
2021-09-29 00:16:26.075574 : Epoch  4, Batch    782, Loss  0.863451, Average Loss  0.871221, Time  0.446138
2021-09-29 00:16:31.985430 : Epoch  4, Batch    783, Loss  0.875480, Average Loss  0.871244, Time  0.444049
2021-09-29 00:16:37.882923 : Epoch  4, Batch    784, Loss  0.867811, Average Loss  0.871264, Time  0.459174
2021-09-29 00:16:43.782650 : Epoch  4, Batch    785, Loss  0.875166, Average Loss  0.871300, Time  0.443877
2021-09-29 00:16:49.690681 : Epoch  4, Batch    786, Loss  0.857294, Average Loss  0.871259, Time  0.445534
2021-09-29 00:16:55.595615 : Epoch  4, Batch    787, Loss  0.868070, Average Loss  0.871179, Time  0.444791
2021-09-29 00:17:01.486693 : Epoch  4, Batch    788, Loss  0.863820, Average Loss  0.871137, Time  0.447201
2021-09-29 00:17:07.391624 : Epoch  4, Batch    789, Loss  0.869926, Average Loss  0.871085, Time  0.445977
2021-09-29 00:17:13.284690 : Epoch  4, Batch    790, Loss  0.873224, Average Loss  0.871119, Time  0.444963
2021-09-29 00:17:19.208376 : Epoch  4, Batch    791, Loss  0.853595, Average Loss  0.871088, Time  0.446245
2021-09-29 00:17:25.112203 : Epoch  4, Batch    792, Loss  0.864839, Average Loss  0.871067, Time  0.451077
2021-09-29 00:17:31.038910 : Epoch  4, Batch    793, Loss  0.875254, Average Loss  0.871048, Time  0.446903
2021-09-29 00:17:36.929266 : Epoch  4, Batch    794, Loss  0.874009, Average Loss  0.870975, Time  0.445477
2021-09-29 00:17:42.825782 : Epoch  4, Batch    795, Loss  0.881236, Average Loss  0.871032, Time  0.444681
2021-09-29 00:17:48.726043 : Epoch  4, Batch    796, Loss  0.890867, Average Loss  0.871116, Time  0.445909
2021-09-29 00:17:54.617191 : Epoch  4, Batch    797, Loss  0.866929, Average Loss  0.871109, Time  0.444030
2021-09-29 00:18:00.517364 : Epoch  4, Batch    798, Loss  0.859793, Average Loss  0.870996, Time  0.444713
2021-09-29 00:18:06.406866 : Epoch  4, Batch    799, Loss  0.891603, Average Loss  0.871066, Time  0.443845
2021-09-29 00:18:12.314313 : Epoch  4, Batch    800, Loss  0.861648, Average Loss  0.871088, Time  0.458696
2021-09-29 00:18:18.216794 : Epoch  4, Batch    801, Loss  0.871798, Average Loss  0.871038, Time  0.444709
2021-09-29 00:18:24.113809 : Epoch  4, Batch    802, Loss  0.866573, Average Loss  0.870990, Time  0.446389
2021-09-29 00:18:30.008443 : Epoch  4, Batch    803, Loss  0.866782, Average Loss  0.870975, Time  0.446365
2021-09-29 00:18:35.900419 : Epoch  4, Batch    804, Loss  0.869344, Average Loss  0.870913, Time  0.446001
2021-09-29 00:18:41.806775 : Epoch  4, Batch    805, Loss  0.882154, Average Loss  0.870951, Time  0.445227
2021-09-29 00:18:47.711696 : Epoch  4, Batch    806, Loss  0.867425, Average Loss  0.870884, Time  0.444625
2021-09-29 00:18:53.626081 : Epoch  4, Batch    807, Loss  0.859255, Average Loss  0.870844, Time  0.443656
2021-09-29 00:18:59.565319 : Epoch  4, Batch    808, Loss  0.864252, Average Loss  0.870814, Time  0.459405
2021-09-29 00:19:05.457496 : Epoch  4, Batch    809, Loss  0.892216, Average Loss  0.870917, Time  0.445940
2021-09-29 00:19:11.361563 : Epoch  4, Batch    810, Loss  0.877828, Average Loss  0.870929, Time  0.447057
2021-09-29 00:19:17.276888 : Epoch  4, Batch    811, Loss  0.862648, Average Loss  0.870881, Time  0.446100
2021-09-29 00:19:23.166194 : Epoch  4, Batch    812, Loss  0.876587, Average Loss  0.870881, Time  0.445347
2021-09-29 00:19:29.078509 : Epoch  4, Batch    813, Loss  0.871844, Average Loss  0.870933, Time  0.443869
2021-09-29 00:19:34.972663 : Epoch  4, Batch    814, Loss  0.865497, Average Loss  0.870938, Time  0.446036
2021-09-29 00:19:40.888422 : Epoch  4, Batch    815, Loss  0.843635, Average Loss  0.870776, Time  0.448842
2021-09-29 00:19:46.810753 : Epoch  4, Batch    816, Loss  0.872049, Average Loss  0.870903, Time  0.456047
2021-09-29 00:24:23.373169 : CheckPoint: Validation Loss  0.00015422, Best Loss  0.00014870
2021-09-29 00:24:29.272573 : Epoch  4, Batch    817, Loss  0.872056, Average Loss  0.870842, Time  0.444685
2021-09-29 00:24:35.170794 : Epoch  4, Batch    818, Loss  0.873612, Average Loss  0.870829, Time  0.443984
2021-09-29 00:24:41.048617 : Epoch  4, Batch    819, Loss  0.884846, Average Loss  0.870894, Time  0.445173
2021-09-29 00:24:46.934894 : Epoch  4, Batch    820, Loss  0.863332, Average Loss  0.870815, Time  0.443891
2021-09-29 00:24:52.830246 : Epoch  4, Batch    821, Loss  0.875823, Average Loss  0.870881, Time  0.444664
2021-09-29 00:24:58.723353 : Epoch  4, Batch    822, Loss  0.883135, Average Loss  0.870939, Time  0.444377
2021-09-29 00:25:04.627062 : Epoch  4, Batch    823, Loss  0.858791, Average Loss  0.870881, Time  0.446379
2021-09-29 00:25:10.532882 : Epoch  4, Batch    824, Loss  0.884601, Average Loss  0.870879, Time  0.458269
2021-09-29 00:25:16.404135 : Epoch  4, Batch    825, Loss  0.869778, Average Loss  0.870898, Time  0.445511
2021-09-29 00:25:22.289609 : Epoch  4, Batch    826, Loss  0.886267, Average Loss  0.870903, Time  0.443907
2021-09-29 00:25:28.175554 : Epoch  4, Batch    827, Loss  0.871731, Average Loss  0.870927, Time  0.444174
2021-09-29 00:25:34.055866 : Epoch  4, Batch    828, Loss  0.865242, Average Loss  0.870896, Time  0.444022
2021-09-29 00:25:39.926575 : Epoch  4, Batch    829, Loss  0.885441, Average Loss  0.870933, Time  0.443789
2021-09-29 00:25:45.807618 : Epoch  4, Batch    830, Loss  0.863113, Average Loss  0.870908, Time  0.444548
2021-09-29 00:25:51.707148 : Epoch  4, Batch    831, Loss  0.880050, Average Loss  0.870895, Time  0.444815
2021-09-29 00:25:57.611022 : Epoch  4, Batch    832, Loss  0.860334, Average Loss  0.870910, Time  0.457083
2021-09-29 00:26:03.498628 : Epoch  4, Batch    833, Loss  0.854115, Average Loss  0.870770, Time  0.444367
2021-09-29 00:26:09.390853 : Epoch  4, Batch    834, Loss  0.880532, Average Loss  0.870902, Time  0.444736
2021-09-29 00:26:15.285537 : Epoch  4, Batch    835, Loss  0.854757, Average Loss  0.870810, Time  0.445456
2021-09-29 00:26:21.169795 : Epoch  4, Batch    836, Loss  0.883406, Average Loss  0.870895, Time  0.445133
2021-09-29 00:26:27.045785 : Epoch  4, Batch    837, Loss  0.859483, Average Loss  0.870850, Time  0.444119
2021-09-29 00:26:32.939427 : Epoch  4, Batch    838, Loss  0.868168, Average Loss  0.870884, Time  0.444903
2021-09-29 00:26:38.804694 : Epoch  4, Batch    839, Loss  0.877912, Average Loss  0.870923, Time  0.446247
2021-09-29 00:26:44.704841 : Epoch  4, Batch    840, Loss  0.872400, Average Loss  0.871030, Time  0.459753
2021-09-29 00:26:50.601441 : Epoch  4, Batch    841, Loss  0.882036, Average Loss  0.871022, Time  0.447640
2021-09-29 00:26:56.486299 : Epoch  4, Batch    842, Loss  0.877587, Average Loss  0.871028, Time  0.445069
2021-09-29 00:27:02.379943 : Epoch  4, Batch    843, Loss  0.859120, Average Loss  0.870977, Time  0.449097
2021-09-29 00:27:08.295276 : Epoch  4, Batch    844, Loss  0.867879, Average Loss  0.870998, Time  0.447779
2021-09-29 00:27:14.190683 : Epoch  4, Batch    845, Loss  0.855264, Average Loss  0.870896, Time  0.444323
2021-09-29 00:27:20.092654 : Epoch  4, Batch    846, Loss  0.865780, Average Loss  0.870826, Time  0.451811
2021-09-29 00:27:25.978545 : Epoch  4, Batch    847, Loss  0.880464, Average Loss  0.870821, Time  0.445528
2021-09-29 00:27:31.890479 : Epoch  4, Batch    848, Loss  0.863135, Average Loss  0.870842, Time  0.455779
2021-09-29 00:27:37.785881 : Epoch  4, Batch    849, Loss  0.881109, Average Loss  0.870872, Time  0.444254
2021-09-29 00:27:43.677762 : Epoch  4, Batch    850, Loss  0.859605, Average Loss  0.870776, Time  0.445347
2021-09-29 00:27:49.569388 : Epoch  4, Batch    851, Loss  0.881205, Average Loss  0.870793, Time  0.445621
2021-09-29 00:27:55.461748 : Epoch  4, Batch    852, Loss  0.870098, Average Loss  0.870723, Time  0.444188
2021-09-29 00:28:01.357737 : Epoch  4, Batch    853, Loss  0.873500, Average Loss  0.870687, Time  0.445717
2021-09-29 00:28:07.250959 : Epoch  4, Batch    854, Loss  0.868096, Average Loss  0.870628, Time  0.446451
2021-09-29 00:28:13.144817 : Epoch  4, Batch    855, Loss  0.853643, Average Loss  0.870551, Time  0.446374
2021-09-29 00:28:19.043169 : Epoch  4, Batch    856, Loss  0.867630, Average Loss  0.870539, Time  0.455220
2021-09-29 00:28:24.934710 : Epoch  4, Batch    857, Loss  0.862331, Average Loss  0.870540, Time  0.445364
2021-09-29 00:28:30.829941 : Epoch  4, Batch    858, Loss  0.861308, Average Loss  0.870506, Time  0.445630
2021-09-29 00:28:36.715507 : Epoch  4, Batch    859, Loss  0.877461, Average Loss  0.870469, Time  0.444365
2021-09-29 00:28:42.599075 : Epoch  4, Batch    860, Loss  0.869754, Average Loss  0.870446, Time  0.444535
2021-09-29 00:28:48.498596 : Epoch  4, Batch    861, Loss  0.871318, Average Loss  0.870386, Time  0.448419
2021-09-29 00:28:54.530614 : Epoch  4, Batch    862, Loss  0.874181, Average Loss  0.870424, Time  0.451966
2021-09-29 00:29:00.445517 : Epoch  4, Batch    863, Loss  0.861576, Average Loss  0.870367, Time  0.451666
2021-09-29 00:29:06.348592 : Epoch  4, Batch    864, Loss  0.880423, Average Loss  0.870392, Time  0.451678
2021-09-29 00:29:12.244564 : Epoch  4, Batch    865, Loss  0.872805, Average Loss  0.870421, Time  0.445864
2021-09-29 00:29:18.141815 : Epoch  4, Batch    866, Loss  0.878882, Average Loss  0.870504, Time  0.444122
2021-09-29 00:29:24.037880 : Epoch  4, Batch    867, Loss  0.859184, Average Loss  0.870442, Time  0.446172
2021-09-29 00:29:29.937053 : Epoch  4, Batch    868, Loss  0.858120, Average Loss  0.870440, Time  0.448558
2021-09-29 00:29:35.839805 : Epoch  4, Batch    869, Loss  0.866376, Average Loss  0.870412, Time  0.445444
2021-09-29 00:29:41.736163 : Epoch  4, Batch    870, Loss  0.870126, Average Loss  0.870393, Time  0.445093
2021-09-29 00:29:47.628035 : Epoch  4, Batch    871, Loss  0.872579, Average Loss  0.870410, Time  0.446348
2021-09-29 00:29:53.530240 : Epoch  4, Batch    872, Loss  0.864862, Average Loss  0.870317, Time  0.459869
2021-09-29 00:29:59.430723 : Epoch  4, Batch    873, Loss  0.870741, Average Loss  0.870259, Time  0.446031
2021-09-29 00:30:05.326708 : Epoch  4, Batch    874, Loss  0.857627, Average Loss  0.870208, Time  0.445832
2021-09-29 00:30:11.225548 : Epoch  4, Batch    875, Loss  0.860911, Average Loss  0.870088, Time  0.446164
2021-09-29 00:30:17.127807 : Epoch  4, Batch    876, Loss  0.871378, Average Loss  0.870046, Time  0.444989
2021-09-29 00:30:23.019876 : Epoch  4, Batch    877, Loss  0.865155, Average Loss  0.870062, Time  0.444974
2021-09-29 00:30:28.910359 : Epoch  4, Batch    878, Loss  0.866911, Average Loss  0.870047, Time  0.444510
2021-09-29 00:30:34.802249 : Epoch  4, Batch    879, Loss  0.874659, Average Loss  0.870059, Time  0.444539
2021-09-29 00:30:40.708267 : Epoch  4, Batch    880, Loss  0.885950, Average Loss  0.870135, Time  0.455785
2021-09-29 00:30:46.600131 : Epoch  4, Batch    881, Loss  0.873536, Average Loss  0.870130, Time  0.444650
2021-09-29 00:30:52.509791 : Epoch  4, Batch    882, Loss  0.866852, Average Loss  0.870070, Time  0.445343
2021-09-29 00:30:58.406780 : Epoch  4, Batch    883, Loss  0.864589, Average Loss  0.870084, Time  0.446211
2021-09-29 00:31:04.293366 : Epoch  4, Batch    884, Loss  0.879822, Average Loss  0.870052, Time  0.448094
2021-09-29 00:31:10.176898 : Epoch  4, Batch    885, Loss  0.858064, Average Loss  0.870015, Time  0.445089
2021-09-29 00:31:16.072201 : Epoch  4, Batch    886, Loss  0.875754, Average Loss  0.869995, Time  0.445855
2021-09-29 00:31:21.988781 : Epoch  4, Batch    887, Loss  0.888282, Average Loss  0.870125, Time  0.444774
2021-09-29 00:31:27.891572 : Epoch  4, Batch    888, Loss  0.863251, Average Loss  0.870108, Time  0.451195
2021-09-29 00:31:33.780603 : Epoch  4, Batch    889, Loss  0.861505, Average Loss  0.870129, Time  0.448224
2021-09-29 00:31:39.670811 : Epoch  4, Batch    890, Loss  0.862858, Average Loss  0.870158, Time  0.446566
2021-09-29 00:31:45.549596 : Epoch  4, Batch    891, Loss  0.875701, Average Loss  0.870174, Time  0.444394
2021-09-29 00:31:51.439815 : Epoch  4, Batch    892, Loss  0.868522, Average Loss  0.870169, Time  0.446055
2021-09-29 00:31:57.350881 : Epoch  4, Batch    893, Loss  0.868533, Average Loss  0.870110, Time  0.447348
2021-09-29 00:32:03.235827 : Epoch  4, Batch    894, Loss  0.870388, Average Loss  0.870102, Time  0.445488
2021-09-29 00:32:09.132313 : Epoch  4, Batch    895, Loss  0.852865, Average Loss  0.870022, Time  0.444281
2021-09-29 00:32:15.045484 : Epoch  4, Batch    896, Loss  0.866523, Average Loss  0.869903, Time  0.461545
2021-09-29 00:32:20.930847 : Epoch  4, Batch    897, Loss  0.860923, Average Loss  0.869889, Time  0.444735
2021-09-29 00:32:26.822628 : Epoch  4, Batch    898, Loss  0.867034, Average Loss  0.869850, Time  0.444608
2021-09-29 00:32:32.714916 : Epoch  4, Batch    899, Loss  0.867284, Average Loss  0.869874, Time  0.445549
2021-09-29 00:32:38.608240 : Epoch  4, Batch    900, Loss  0.870201, Average Loss  0.869836, Time  0.444571
2021-09-29 00:32:44.490821 : Epoch  4, Batch    901, Loss  0.872741, Average Loss  0.869898, Time  0.444531
2021-09-29 00:32:50.381827 : Epoch  4, Batch    902, Loss  0.867875, Average Loss  0.869881, Time  0.444133
2021-09-29 00:32:56.294374 : Epoch  4, Batch    903, Loss  0.878499, Average Loss  0.869943, Time  0.448065
2021-09-29 00:33:02.197334 : Epoch  4, Batch    904, Loss  0.856047, Average Loss  0.869892, Time  0.459196
2021-09-29 00:33:08.092126 : Epoch  4, Batch    905, Loss  0.876368, Average Loss  0.869884, Time  0.448173
2021-09-29 00:33:13.965634 : Epoch  4, Batch    906, Loss  0.866155, Average Loss  0.869790, Time  0.444939
2021-09-29 00:33:19.866468 : Epoch  4, Batch    907, Loss  0.869464, Average Loss  0.869810, Time  0.444919
2021-09-29 00:33:25.765853 : Epoch  4, Batch    908, Loss  0.880617, Average Loss  0.869891, Time  0.444092
2021-09-29 00:33:31.665690 : Epoch  4, Batch    909, Loss  0.858841, Average Loss  0.869849, Time  0.446702
2021-09-29 00:33:37.560383 : Epoch  4, Batch    910, Loss  0.878073, Average Loss  0.869885, Time  0.446339
2021-09-29 00:33:43.453861 : Epoch  4, Batch    911, Loss  0.879094, Average Loss  0.869885, Time  0.447608
2021-09-29 00:33:49.361272 : Epoch  4, Batch    912, Loss  0.883984, Average Loss  0.869917, Time  0.457772
2021-09-29 00:33:55.270971 : Epoch  4, Batch    913, Loss  0.879626, Average Loss  0.869964, Time  0.446157
2021-09-29 00:34:01.167873 : Epoch  4, Batch    914, Loss  0.853394, Average Loss  0.869786, Time  0.447868
2021-09-29 00:34:07.077393 : Epoch  4, Batch    915, Loss  0.867010, Average Loss  0.869755, Time  0.445073
2021-09-29 00:34:12.979242 : Epoch  4, Batch    916, Loss  0.871975, Average Loss  0.869806, Time  0.445460
2021-09-29 00:38:49.649783 : CheckPoint: Validation Loss  0.00015091, Best Loss  0.00014870
2021-09-29 00:38:55.554161 : Epoch  4, Batch    917, Loss  0.866768, Average Loss  0.869777, Time  0.445256
2021-09-29 00:39:01.453448 : Epoch  4, Batch    918, Loss  0.866667, Average Loss  0.869809, Time  0.446202
2021-09-29 00:39:07.334677 : Epoch  4, Batch    919, Loss  0.882855, Average Loss  0.869887, Time  0.445034
2021-09-29 00:39:13.246598 : Epoch  4, Batch    920, Loss  0.883345, Average Loss  0.869979, Time  0.457004
2021-09-29 00:39:19.149541 : Epoch  4, Batch    921, Loss  0.868011, Average Loss  0.869910, Time  0.444888
2021-09-29 00:39:25.053849 : Epoch  4, Batch    922, Loss  0.870938, Average Loss  0.869963, Time  0.449989
2021-09-29 00:39:30.976809 : Epoch  4, Batch    923, Loss  0.871143, Average Loss  0.869918, Time  0.447167
2021-09-29 00:39:36.877813 : Epoch  4, Batch    924, Loss  0.880269, Average Loss  0.869970, Time  0.445464
2021-09-29 00:39:42.785286 : Epoch  4, Batch    925, Loss  0.864845, Average Loss  0.870048, Time  0.446196
2021-09-29 00:39:48.694919 : Epoch  4, Batch    926, Loss  0.873759, Average Loss  0.870091, Time  0.448950
2021-09-29 00:39:54.584590 : Epoch  4, Batch    927, Loss  0.879536, Average Loss  0.870150, Time  0.447081
2021-09-29 00:40:00.487093 : Epoch  4, Batch    928, Loss  0.859220, Average Loss  0.870050, Time  0.462914
2021-09-29 00:40:00.509497 : Saving Model after 4-th Epoch.
2021-09-29 00:40:01.245338 : Epoch Finished.
2021-09-29 00:40:06.717331 : Batch Shuffled
2021-09-29 00:40:12.681489 : Epoch  5, Batch      1, Loss  0.877980, Average Loss  0.870043, Time  0.443995
2021-09-29 00:40:18.591416 : Epoch  5, Batch      2, Loss  0.881354, Average Loss  0.870120, Time  0.444802
2021-09-29 00:40:24.488855 : Epoch  5, Batch      3, Loss  0.879028, Average Loss  0.870178, Time  0.444885
2021-09-29 00:40:30.370787 : Epoch  5, Batch      4, Loss  0.867059, Average Loss  0.870130, Time  0.444434
2021-09-29 00:40:36.259736 : Epoch  5, Batch      5, Loss  0.892525, Average Loss  0.870243, Time  0.448611
2021-09-29 00:40:42.153226 : Epoch  5, Batch      6, Loss  0.864758, Average Loss  0.870223, Time  0.444825
2021-09-29 00:40:48.055541 : Epoch  5, Batch      7, Loss  0.867382, Average Loss  0.870229, Time  0.453836
2021-09-29 00:40:53.967810 : Epoch  5, Batch      8, Loss  0.876492, Average Loss  0.870206, Time  0.445874
2021-09-29 00:40:59.876915 : Epoch  5, Batch      9, Loss  0.879076, Average Loss  0.870258, Time  0.444734
2021-09-29 00:41:05.773838 : Epoch  5, Batch     10, Loss  0.865753, Average Loss  0.870254, Time  0.446102
2021-09-29 00:41:11.685755 : Epoch  5, Batch     11, Loss  0.888271, Average Loss  0.870372, Time  0.444585
2021-09-29 00:41:17.586653 : Epoch  5, Batch     12, Loss  0.865481, Average Loss  0.870347, Time  0.444535
2021-09-29 00:41:23.484042 : Epoch  5, Batch     13, Loss  0.858613, Average Loss  0.870298, Time  0.444258
2021-09-29 00:41:29.403546 : Epoch  5, Batch     14, Loss  0.873973, Average Loss  0.870345, Time  0.448324
2021-09-29 00:41:35.318395 : Epoch  5, Batch     15, Loss  0.873272, Average Loss  0.870472, Time  0.454947
2021-09-29 00:41:41.220554 : Epoch  5, Batch     16, Loss  0.877540, Average Loss  0.870537, Time  0.446220
2021-09-29 00:41:47.128761 : Epoch  5, Batch     17, Loss  0.868550, Average Loss  0.870474, Time  0.448210
2021-09-29 00:41:53.023799 : Epoch  5, Batch     18, Loss  0.869005, Average Loss  0.870442, Time  0.444851
2021-09-29 00:41:58.931836 : Epoch  5, Batch     19, Loss  0.874314, Average Loss  0.870437, Time  0.443668
2021-09-29 00:42:04.830566 : Epoch  5, Batch     20, Loss  0.878400, Average Loss  0.870440, Time  0.446360
2021-09-29 00:42:10.734713 : Epoch  5, Batch     21, Loss  0.862947, Average Loss  0.870336, Time  0.452153
2021-09-29 00:42:16.629445 : Epoch  5, Batch     22, Loss  0.868272, Average Loss  0.870367, Time  0.446730
2021-09-29 00:42:22.540562 : Epoch  5, Batch     23, Loss  0.884072, Average Loss  0.870405, Time  0.462319
2021-09-29 00:42:28.447643 : Epoch  5, Batch     24, Loss  0.868403, Average Loss  0.870410, Time  0.446493
2021-09-29 00:42:34.349845 : Epoch  5, Batch     25, Loss  0.874249, Average Loss  0.870456, Time  0.444448
2021-09-29 00:42:40.257819 : Epoch  5, Batch     26, Loss  0.869891, Average Loss  0.870459, Time  0.446934
2021-09-29 00:42:46.154767 : Epoch  5, Batch     27, Loss  0.861054, Average Loss  0.870432, Time  0.447096
2021-09-29 00:42:52.071424 : Epoch  5, Batch     28, Loss  0.878319, Average Loss  0.870477, Time  0.445158
2021-09-29 00:42:57.983773 : Epoch  5, Batch     29, Loss  0.868634, Average Loss  0.870463, Time  0.445140
2021-09-29 00:43:03.880674 : Epoch  5, Batch     30, Loss  0.867540, Average Loss  0.870514, Time  0.444006
2021-09-29 00:43:09.804298 : Epoch  5, Batch     31, Loss  0.862141, Average Loss  0.870534, Time  0.461374
2021-09-29 00:43:15.698741 : Epoch  5, Batch     32, Loss  0.851172, Average Loss  0.870413, Time  0.444871
2021-09-29 00:43:21.604903 : Epoch  5, Batch     33, Loss  0.872432, Average Loss  0.870426, Time  0.445734
2021-09-29 00:43:27.525189 : Epoch  5, Batch     34, Loss  0.861431, Average Loss  0.870337, Time  0.447765
2021-09-29 00:43:33.436265 : Epoch  5, Batch     35, Loss  0.872283, Average Loss  0.870291, Time  0.444974
2021-09-29 00:43:39.329422 : Epoch  5, Batch     36, Loss  0.868348, Average Loss  0.870291, Time  0.444571
2021-09-29 00:43:45.214821 : Epoch  5, Batch     37, Loss  0.869235, Average Loss  0.870278, Time  0.445320
2021-09-29 00:43:51.106910 : Epoch  5, Batch     38, Loss  0.871204, Average Loss  0.870314, Time  0.445843
2021-09-29 00:43:57.025399 : Epoch  5, Batch     39, Loss  0.877421, Average Loss  0.870371, Time  0.456535
2021-09-29 00:44:02.919246 : Epoch  5, Batch     40, Loss  0.883275, Average Loss  0.870423, Time  0.446066
2021-09-29 00:44:08.800417 : Epoch  5, Batch     41, Loss  0.881477, Average Loss  0.870507, Time  0.444093
2021-09-29 00:44:14.704736 : Epoch  5, Batch     42, Loss  0.872267, Average Loss  0.870589, Time  0.447601
2021-09-29 00:44:20.616447 : Epoch  5, Batch     43, Loss  0.865458, Average Loss  0.870527, Time  0.447790
2021-09-29 00:44:26.518694 : Epoch  5, Batch     44, Loss  0.876811, Average Loss  0.870614, Time  0.445696
2021-09-29 00:44:32.434376 : Epoch  5, Batch     45, Loss  0.878273, Average Loss  0.870680, Time  0.444343
2021-09-29 00:44:38.330630 : Epoch  5, Batch     46, Loss  0.877506, Average Loss  0.870678, Time  0.446798
2021-09-29 00:44:44.253807 : Epoch  5, Batch     47, Loss  0.862639, Average Loss  0.870624, Time  0.460503
2021-09-29 00:44:50.163561 : Epoch  5, Batch     48, Loss  0.869968, Average Loss  0.870681, Time  0.446892
2021-09-29 00:44:56.078348 : Epoch  5, Batch     49, Loss  0.884954, Average Loss  0.870831, Time  0.446576
2021-09-29 00:45:01.974949 : Epoch  5, Batch     50, Loss  0.863595, Average Loss  0.870737, Time  0.444870
2021-09-29 00:45:07.860757 : Epoch  5, Batch     51, Loss  0.866443, Average Loss  0.870749, Time  0.444593
2021-09-29 00:45:13.751809 : Epoch  5, Batch     52, Loss  0.893509, Average Loss  0.870771, Time  0.445865
2021-09-29 00:45:19.645617 : Epoch  5, Batch     53, Loss  0.865537, Average Loss  0.870664, Time  0.444417
2021-09-29 00:45:25.543804 : Epoch  5, Batch     54, Loss  0.867113, Average Loss  0.870682, Time  0.444237
2021-09-29 00:45:31.429375 : Epoch  5, Batch     55, Loss  0.863677, Average Loss  0.870623, Time  0.456586
2021-09-29 00:45:37.340958 : Epoch  5, Batch     56, Loss  0.865417, Average Loss  0.870611, Time  0.446095
2021-09-29 00:45:43.263319 : Epoch  5, Batch     57, Loss  0.873587, Average Loss  0.870603, Time  0.445336
2021-09-29 00:45:49.168114 : Epoch  5, Batch     58, Loss  0.850565, Average Loss  0.870570, Time  0.447820
2021-09-29 00:45:55.055311 : Epoch  5, Batch     59, Loss  0.874771, Average Loss  0.870603, Time  0.447270
2021-09-29 00:46:00.954035 : Epoch  5, Batch     60, Loss  0.858035, Average Loss  0.870574, Time  0.446315
2021-09-29 00:46:06.855243 : Epoch  5, Batch     61, Loss  0.871767, Average Loss  0.870584, Time  0.446388
2021-09-29 00:46:12.751318 : Epoch  5, Batch     62, Loss  0.868562, Average Loss  0.870560, Time  0.445807
2021-09-29 00:46:18.664247 : Epoch  5, Batch     63, Loss  0.871212, Average Loss  0.870648, Time  0.462712
2021-09-29 00:46:24.563664 : Epoch  5, Batch     64, Loss  0.874958, Average Loss  0.870699, Time  0.444512
2021-09-29 00:46:30.454736 : Epoch  5, Batch     65, Loss  0.857938, Average Loss  0.870612, Time  0.445153
2021-09-29 00:46:36.340764 : Epoch  5, Batch     66, Loss  0.855858, Average Loss  0.870522, Time  0.444553
2021-09-29 00:46:42.234211 : Epoch  5, Batch     67, Loss  0.878788, Average Loss  0.870509, Time  0.444596
2021-09-29 00:46:48.149204 : Epoch  5, Batch     68, Loss  0.861703, Average Loss  0.870363, Time  0.445419
2021-09-29 00:46:54.051778 : Epoch  5, Batch     69, Loss  0.874328, Average Loss  0.870400, Time  0.446471
2021-09-29 00:46:59.951085 : Epoch  5, Batch     70, Loss  0.871438, Average Loss  0.870459, Time  0.444047
2021-09-29 00:47:05.864694 : Epoch  5, Batch     71, Loss  0.869401, Average Loss  0.870348, Time  0.461357
2021-09-29 00:47:11.764753 : Epoch  5, Batch     72, Loss  0.878859, Average Loss  0.870434, Time  0.445645
2021-09-29 00:47:17.671772 : Epoch  5, Batch     73, Loss  0.875736, Average Loss  0.870453, Time  0.445060
2021-09-29 00:47:23.571904 : Epoch  5, Batch     74, Loss  0.891957, Average Loss  0.870580, Time  0.447518
2021-09-29 00:47:29.485795 : Epoch  5, Batch     75, Loss  0.863524, Average Loss  0.870564, Time  0.446543
2021-09-29 00:47:35.374562 : Epoch  5, Batch     76, Loss  0.869782, Average Loss  0.870566, Time  0.447578
2021-09-29 00:47:41.270505 : Epoch  5, Batch     77, Loss  0.884379, Average Loss  0.870577, Time  0.444023
2021-09-29 00:47:47.170821 : Epoch  5, Batch     78, Loss  0.889808, Average Loss  0.870689, Time  0.446471
2021-09-29 00:47:53.085933 : Epoch  5, Batch     79, Loss  0.881892, Average Loss  0.870802, Time  0.460687
2021-09-29 00:47:58.991723 : Epoch  5, Batch     80, Loss  0.854928, Average Loss  0.870756, Time  0.444314
2021-09-29 00:48:04.892737 : Epoch  5, Batch     81, Loss  0.883664, Average Loss  0.870713, Time  0.443873
2021-09-29 00:48:10.785714 : Epoch  5, Batch     82, Loss  0.862411, Average Loss  0.870636, Time  0.446406
2021-09-29 00:48:16.687903 : Epoch  5, Batch     83, Loss  0.872739, Average Loss  0.870686, Time  0.448045
2021-09-29 00:48:22.607185 : Epoch  5, Batch     84, Loss  0.861225, Average Loss  0.870610, Time  0.445494
2021-09-29 00:48:28.510257 : Epoch  5, Batch     85, Loss  0.866525, Average Loss  0.870583, Time  0.447126
2021-09-29 00:48:34.411542 : Epoch  5, Batch     86, Loss  0.869272, Average Loss  0.870602, Time  0.446261
2021-09-29 00:48:40.311498 : Epoch  5, Batch     87, Loss  0.859918, Average Loss  0.870683, Time  0.454807
2021-09-29 00:48:46.197276 : Epoch  5, Batch     88, Loss  0.870173, Average Loss  0.870674, Time  0.445715
2021-09-29 00:53:22.762753 : CheckPoint: Validation Loss  0.00015106, Best Loss  0.00014870
2021-09-29 00:53:28.668632 : Epoch  5, Batch     89, Loss  0.873523, Average Loss  0.870681, Time  0.445196
2021-09-29 00:53:34.586239 : Epoch  5, Batch     90, Loss  0.861261, Average Loss  0.870620, Time  0.444533
2021-09-29 00:53:40.494179 : Epoch  5, Batch     91, Loss  0.873846, Average Loss  0.870565, Time  0.447831
2021-09-29 00:53:46.392872 : Epoch  5, Batch     92, Loss  0.869719, Average Loss  0.870596, Time  0.444312
2021-09-29 00:53:52.284641 : Epoch  5, Batch     93, Loss  0.873859, Average Loss  0.870587, Time  0.444307
2021-09-29 00:53:58.188802 : Epoch  5, Batch     94, Loss  0.872229, Average Loss  0.870532, Time  0.446932
2021-09-29 00:54:04.160661 : Epoch  5, Batch     95, Loss  0.872070, Average Loss  0.870599, Time  0.458643
2021-09-29 00:54:10.086719 : Epoch  5, Batch     96, Loss  0.865811, Average Loss  0.870505, Time  0.450839
2021-09-29 00:54:15.990552 : Epoch  5, Batch     97, Loss  0.871203, Average Loss  0.870512, Time  0.445153
2021-09-29 00:54:21.915846 : Epoch  5, Batch     98, Loss  0.875331, Average Loss  0.870457, Time  0.445405
2021-09-29 00:54:27.832340 : Epoch  5, Batch     99, Loss  0.865968, Average Loss  0.870428, Time  0.445416
2021-09-29 00:54:33.780969 : Epoch  5, Batch    100, Loss  0.874981, Average Loss  0.870477, Time  0.447655
2021-09-29 00:54:39.694793 : Epoch  5, Batch    101, Loss  0.861042, Average Loss  0.870355, Time  0.445476
2021-09-29 00:54:45.623511 : Epoch  5, Batch    102, Loss  0.874877, Average Loss  0.870414, Time  0.446195
2021-09-29 00:54:51.566951 : Epoch  5, Batch    103, Loss  0.876619, Average Loss  0.870397, Time  0.462833
2021-09-29 00:54:57.474862 : Epoch  5, Batch    104, Loss  0.873523, Average Loss  0.870463, Time  0.448948
2021-09-29 00:55:03.406660 : Epoch  5, Batch    105, Loss  0.858590, Average Loss  0.870485, Time  0.446205
2021-09-29 00:55:09.319830 : Epoch  5, Batch    106, Loss  0.866536, Average Loss  0.870415, Time  0.447495
2021-09-29 00:55:15.247979 : Epoch  5, Batch    107, Loss  0.858720, Average Loss  0.870435, Time  0.449275
2021-09-29 00:55:21.179513 : Epoch  5, Batch    108, Loss  0.862534, Average Loss  0.870330, Time  0.449454
2021-09-29 00:55:27.110128 : Epoch  5, Batch    109, Loss  0.891064, Average Loss  0.870488, Time  0.447989
2021-09-29 00:55:33.057354 : Epoch  5, Batch    110, Loss  0.874900, Average Loss  0.870522, Time  0.447064
2021-09-29 00:55:38.984890 : Epoch  5, Batch    111, Loss  0.867408, Average Loss  0.870469, Time  0.453382
2021-09-29 00:55:44.921500 : Epoch  5, Batch    112, Loss  0.873286, Average Loss  0.870474, Time  0.446890
2021-09-29 00:55:50.865897 : Epoch  5, Batch    113, Loss  0.878662, Average Loss  0.870457, Time  0.446696
2021-09-29 00:55:56.807327 : Epoch  5, Batch    114, Loss  0.871680, Average Loss  0.870427, Time  0.446003
2021-09-29 00:56:02.778019 : Epoch  5, Batch    115, Loss  0.875607, Average Loss  0.870510, Time  0.450179
2021-09-29 00:56:08.699796 : Epoch  5, Batch    116, Loss  0.866354, Average Loss  0.870502, Time  0.447074
2021-09-29 00:56:14.614918 : Epoch  5, Batch    117, Loss  0.876930, Average Loss  0.870611, Time  0.451641
2021-09-29 00:56:20.527130 : Epoch  5, Batch    118, Loss  0.875899, Average Loss  0.870661, Time  0.445511
2021-09-29 00:56:26.477529 : Epoch  5, Batch    119, Loss  0.858941, Average Loss  0.870554, Time  0.462550
2021-09-29 00:56:32.387362 : Epoch  5, Batch    120, Loss  0.881382, Average Loss  0.870645, Time  0.445212
2021-09-29 00:56:38.324165 : Epoch  5, Batch    121, Loss  0.849435, Average Loss  0.870486, Time  0.447876
2021-09-29 00:56:44.242662 : Epoch  5, Batch    122, Loss  0.878234, Average Loss  0.870580, Time  0.445470
2021-09-29 00:56:50.166053 : Epoch  5, Batch    123, Loss  0.866451, Average Loss  0.870506, Time  0.450316
2021-09-29 00:56:56.102478 : Epoch  5, Batch    124, Loss  0.868146, Average Loss  0.870496, Time  0.448624
2021-09-29 00:57:02.038772 : Epoch  5, Batch    125, Loss  0.872298, Average Loss  0.870490, Time  0.445611
2021-09-29 00:57:07.964626 : Epoch  5, Batch    126, Loss  0.864665, Average Loss  0.870473, Time  0.447185
2021-09-29 00:57:13.891578 : Epoch  5, Batch    127, Loss  0.877296, Average Loss  0.870591, Time  0.454921
2021-09-29 00:57:19.831864 : Epoch  5, Batch    128, Loss  0.871045, Average Loss  0.870608, Time  0.446499
2021-09-29 00:57:25.756772 : Epoch  5, Batch    129, Loss  0.882313, Average Loss  0.870708, Time  0.446959
2021-09-29 00:57:31.691539 : Epoch  5, Batch    130, Loss  0.868562, Average Loss  0.870744, Time  0.446252
2021-09-29 00:57:37.615627 : Epoch  5, Batch    131, Loss  0.872570, Average Loss  0.870720, Time  0.445231
2021-09-29 00:57:43.529234 : Epoch  5, Batch    132, Loss  0.892840, Average Loss  0.870835, Time  0.445414
2021-09-29 00:57:49.448218 : Epoch  5, Batch    133, Loss  0.881559, Average Loss  0.870887, Time  0.446699
2021-09-29 00:57:55.380859 : Epoch  5, Batch    134, Loss  0.865558, Average Loss  0.870843, Time  0.448127
2021-09-29 00:58:01.318896 : Epoch  5, Batch    135, Loss  0.890976, Average Loss  0.870990, Time  0.457109
2021-09-29 00:58:07.233577 : Epoch  5, Batch    136, Loss  0.865148, Average Loss  0.870914, Time  0.446255
2021-09-29 00:58:13.182489 : Epoch  5, Batch    137, Loss  0.863670, Average Loss  0.870868, Time  0.450193
2021-09-29 00:58:19.135712 : Epoch  5, Batch    138, Loss  0.866560, Average Loss  0.870807, Time  0.446355
2021-09-29 00:58:25.100218 : Epoch  5, Batch    139, Loss  0.877928, Average Loss  0.870901, Time  0.450684
2021-09-29 00:58:31.048817 : Epoch  5, Batch    140, Loss  0.867714, Average Loss  0.870949, Time  0.447652
2021-09-29 00:58:36.976190 : Epoch  5, Batch    141, Loss  0.889869, Average Loss  0.871066, Time  0.449301
2021-09-29 00:58:42.916961 : Epoch  5, Batch    142, Loss  0.870249, Average Loss  0.871067, Time  0.456637
2021-09-29 00:58:48.826310 : Epoch  5, Batch    143, Loss  0.869632, Average Loss  0.871052, Time  0.446039
2021-09-29 00:58:54.760796 : Epoch  5, Batch    144, Loss  0.873477, Average Loss  0.871095, Time  0.445707
2021-09-29 00:59:00.702621 : Epoch  5, Batch    145, Loss  0.860261, Average Loss  0.871043, Time  0.448306
2021-09-29 00:59:06.626499 : Epoch  5, Batch    146, Loss  0.873239, Average Loss  0.871121, Time  0.449066
2021-09-29 00:59:12.547678 : Epoch  5, Batch    147, Loss  0.871346, Average Loss  0.871173, Time  0.446268
2021-09-29 00:59:18.527447 : Epoch  5, Batch    148, Loss  0.860507, Average Loss  0.871118, Time  0.444712
2021-09-29 00:59:24.446064 : Epoch  5, Batch    149, Loss  0.886066, Average Loss  0.871223, Time  0.445254
2021-09-29 00:59:30.387609 : Epoch  5, Batch    150, Loss  0.882064, Average Loss  0.871299, Time  0.460332
2021-09-29 00:59:36.310547 : Epoch  5, Batch    151, Loss  0.879073, Average Loss  0.871321, Time  0.447864
2021-09-29 00:59:42.220837 : Epoch  5, Batch    152, Loss  0.864695, Average Loss  0.871215, Time  0.452591
2021-09-29 00:59:48.127963 : Epoch  5, Batch    153, Loss  0.877871, Average Loss  0.871236, Time  0.446855
2021-09-29 00:59:54.049635 : Epoch  5, Batch    154, Loss  0.859874, Average Loss  0.871201, Time  0.445999
2021-09-29 00:59:59.966544 : Epoch  5, Batch    155, Loss  0.857015, Average Loss  0.871163, Time  0.446312
2021-09-29 01:00:05.879570 : Epoch  5, Batch    156, Loss  0.867897, Average Loss  0.871104, Time  0.446198
2021-09-29 01:00:11.789043 : Epoch  5, Batch    157, Loss  0.879219, Average Loss  0.871210, Time  0.444808
2021-09-29 01:00:17.720906 : Epoch  5, Batch    158, Loss  0.875017, Average Loss  0.871206, Time  0.456362
2021-09-29 01:00:23.649488 : Epoch  5, Batch    159, Loss  0.877374, Average Loss  0.871151, Time  0.446649
2021-09-29 01:00:29.570102 : Epoch  5, Batch    160, Loss  0.867467, Average Loss  0.871172, Time  0.447119
2021-09-29 01:00:35.502098 : Epoch  5, Batch    161, Loss  0.883518, Average Loss  0.871283, Time  0.446491
2021-09-29 01:00:41.435896 : Epoch  5, Batch    162, Loss  0.865090, Average Loss  0.871294, Time  0.448869
2021-09-29 01:00:47.390438 : Epoch  5, Batch    163, Loss  0.854209, Average Loss  0.871186, Time  0.447879
2021-09-29 01:00:53.326790 : Epoch  5, Batch    164, Loss  0.883919, Average Loss  0.871263, Time  0.447170
2021-09-29 01:00:59.262861 : Epoch  5, Batch    165, Loss  0.862785, Average Loss  0.871234, Time  0.445265
2021-09-29 01:01:05.185858 : Epoch  5, Batch    166, Loss  0.875827, Average Loss  0.871262, Time  0.450757
2021-09-29 01:01:11.103374 : Epoch  5, Batch    167, Loss  0.867394, Average Loss  0.871334, Time  0.448205
2021-09-29 01:01:17.038777 : Epoch  5, Batch    168, Loss  0.870987, Average Loss  0.871357, Time  0.450101
2021-09-29 01:01:22.957796 : Epoch  5, Batch    169, Loss  0.878167, Average Loss  0.871443, Time  0.450165
2021-09-29 01:01:28.900126 : Epoch  5, Batch    170, Loss  0.875005, Average Loss  0.871483, Time  0.445073
2021-09-29 01:01:34.860754 : Epoch  5, Batch    171, Loss  0.863283, Average Loss  0.871463, Time  0.445960
2021-09-29 01:01:40.777942 : Epoch  5, Batch    172, Loss  0.863449, Average Loss  0.871429, Time  0.444124
2021-09-29 01:01:46.699142 : Epoch  5, Batch    173, Loss  0.879648, Average Loss  0.871463, Time  0.462053
2021-09-29 01:01:52.608257 : Epoch  5, Batch    174, Loss  0.873129, Average Loss  0.871490, Time  0.445331
2021-09-29 01:01:58.519187 : Epoch  5, Batch    175, Loss  0.875600, Average Loss  0.871475, Time  0.444525
2021-09-29 01:02:04.448819 : Epoch  5, Batch    176, Loss  0.858925, Average Loss  0.871490, Time  0.445135
2021-09-29 01:02:10.361826 : Epoch  5, Batch    177, Loss  0.869707, Average Loss  0.871456, Time  0.447951
2021-09-29 01:02:16.279335 : Epoch  5, Batch    178, Loss  0.869905, Average Loss  0.871475, Time  0.445553
2021-09-29 01:02:22.211757 : Epoch  5, Batch    179, Loss  0.855400, Average Loss  0.871405, Time  0.444426
2021-09-29 01:02:28.133572 : Epoch  5, Batch    180, Loss  0.865995, Average Loss  0.871332, Time  0.446067
2021-09-29 01:02:34.061542 : Epoch  5, Batch    181, Loss  0.855363, Average Loss  0.871314, Time  0.455058
2021-09-29 01:02:39.991866 : Epoch  5, Batch    182, Loss  0.890000, Average Loss  0.871374, Time  0.451534
2021-09-29 01:02:45.904608 : Epoch  5, Batch    183, Loss  0.876487, Average Loss  0.871361, Time  0.446725
2021-09-29 01:02:51.810192 : Epoch  5, Batch    184, Loss  0.867201, Average Loss  0.871277, Time  0.447063
2021-09-29 01:02:57.716028 : Epoch  5, Batch    185, Loss  0.868943, Average Loss  0.871224, Time  0.445966
2021-09-29 01:03:03.623149 : Epoch  5, Batch    186, Loss  0.881268, Average Loss  0.871363, Time  0.446735
2021-09-29 01:03:09.548144 : Epoch  5, Batch    187, Loss  0.874438, Average Loss  0.871400, Time  0.449530
2021-09-29 01:03:15.455599 : Epoch  5, Batch    188, Loss  0.877809, Average Loss  0.871429, Time  0.445352
2021-09-29 01:07:47.738719 : CheckPoint: Validation Loss  0.00015160, Best Loss  0.00014870
2021-09-29 01:07:53.383308 : Epoch  5, Batch    189, Loss  0.858705, Average Loss  0.871389, Time  0.444241
2021-09-29 01:07:58.997068 : Epoch  5, Batch    190, Loss  0.886633, Average Loss  0.871489, Time  0.444159
2021-09-29 01:08:04.646496 : Epoch  5, Batch    191, Loss  0.870280, Average Loss  0.871426, Time  0.452205
2021-09-29 01:08:10.294784 : Epoch  5, Batch    192, Loss  0.879784, Average Loss  0.871408, Time  0.445643
2021-09-29 01:08:15.985741 : Epoch  5, Batch    193, Loss  0.875630, Average Loss  0.871446, Time  0.443248
2021-09-29 01:08:21.658811 : Epoch  5, Batch    194, Loss  0.879009, Average Loss  0.871486, Time  0.442790
2021-09-29 01:08:27.259707 : Epoch  5, Batch    195, Loss  0.870686, Average Loss  0.871484, Time  0.443048
2021-09-29 01:08:32.952040 : Epoch  5, Batch    196, Loss  0.857822, Average Loss  0.871372, Time  0.442758
2021-09-29 01:08:38.572639 : Epoch  5, Batch    197, Loss  0.876227, Average Loss  0.871429, Time  0.444690
2021-09-29 01:08:44.172080 : Epoch  5, Batch    198, Loss  0.869925, Average Loss  0.871410, Time  0.443857
2021-09-29 01:08:49.783179 : Epoch  5, Batch    199, Loss  0.878110, Average Loss  0.871403, Time  0.448758
2021-09-29 01:08:55.428594 : Epoch  5, Batch    200, Loss  0.867397, Average Loss  0.871443, Time  0.443122
2021-09-29 01:09:01.062591 : Epoch  5, Batch    201, Loss  0.874909, Average Loss  0.871428, Time  0.443180
2021-09-29 01:09:06.682283 : Epoch  5, Batch    202, Loss  0.868008, Average Loss  0.871361, Time  0.443465
2021-09-29 01:09:12.293846 : Epoch  5, Batch    203, Loss  0.884233, Average Loss  0.871387, Time  0.443947
2021-09-29 01:09:17.963449 : Epoch  5, Batch    204, Loss  0.886016, Average Loss  0.871482, Time  0.443566
2021-09-29 01:09:23.584931 : Epoch  5, Batch    205, Loss  0.858815, Average Loss  0.871314, Time  0.443553
2021-09-29 01:09:29.184869 : Epoch  5, Batch    206, Loss  0.870085, Average Loss  0.871340, Time  0.443119
2021-09-29 01:09:34.818979 : Epoch  5, Batch    207, Loss  0.873745, Average Loss  0.871372, Time  0.456578
2021-09-29 01:09:40.407633 : Epoch  5, Batch    208, Loss  0.874354, Average Loss  0.871361, Time  0.442671
2021-09-29 01:09:46.033164 : Epoch  5, Batch    209, Loss  0.864176, Average Loss  0.871287, Time  0.443888
2021-09-29 01:09:51.707061 : Epoch  5, Batch    210, Loss  0.854086, Average Loss  0.871229, Time  0.446185
2021-09-29 01:09:57.412417 : Epoch  5, Batch    211, Loss  0.876935, Average Loss  0.871172, Time  0.444193
2021-09-29 01:10:01.604130 : Epoch  5, Batch    212, Loss  0.871445, Average Loss  0.871202, Time  0.342730
2021-09-29 01:10:07.272031 : Epoch  5, Batch    213, Loss  0.855009, Average Loss  0.871184, Time  0.442624
2021-09-29 01:10:12.894400 : Epoch  5, Batch    214, Loss  0.877563, Average Loss  0.871202, Time  0.443925
2021-09-29 01:10:18.535715 : Epoch  5, Batch    215, Loss  0.872420, Average Loss  0.871197, Time  0.443484
2021-09-29 01:10:24.169980 : Epoch  5, Batch    216, Loss  0.885136, Average Loss  0.871235, Time  0.453508
2021-09-29 01:10:29.803382 : Epoch  5, Batch    217, Loss  0.865955, Average Loss  0.871222, Time  0.443300
2021-09-29 01:10:35.426563 : Epoch  5, Batch    218, Loss  0.865294, Average Loss  0.871204, Time  0.442672
2021-09-29 01:10:41.047390 : Epoch  5, Batch    219, Loss  0.880534, Average Loss  0.871235, Time  0.443442
2021-09-29 01:10:46.729639 : Epoch  5, Batch    220, Loss  0.850140, Average Loss  0.871094, Time  0.444394
2021-09-29 01:10:52.419186 : Epoch  5, Batch    221, Loss  0.874381, Average Loss  0.871151, Time  0.445563
2021-09-29 01:10:58.117730 : Epoch  5, Batch    222, Loss  0.853539, Average Loss  0.871077, Time  0.446149
2021-09-29 01:11:03.900494 : Epoch  5, Batch    223, Loss  0.878176, Average Loss  0.871048, Time  0.444160
2021-09-29 01:11:09.618272 : Epoch  5, Batch    224, Loss  0.876498, Average Loss  0.871088, Time  0.455012
2021-09-29 01:11:15.360322 : Epoch  5, Batch    225, Loss  0.870783, Average Loss  0.871071, Time  0.445049
2021-09-29 01:11:21.037872 : Epoch  5, Batch    226, Loss  0.879777, Average Loss  0.871120, Time  0.445884
2021-09-29 01:11:26.730638 : Epoch  5, Batch    227, Loss  0.867901, Average Loss  0.871154, Time  0.444076
2021-09-29 01:11:32.423466 : Epoch  5, Batch    228, Loss  0.864174, Average Loss  0.871084, Time  0.444459
2021-09-29 01:11:38.121214 : Epoch  5, Batch    229, Loss  0.883614, Average Loss  0.871159, Time  0.443169
2021-09-29 01:11:43.868130 : Epoch  5, Batch    230, Loss  0.883715, Average Loss  0.871239, Time  0.444596
2021-09-29 01:11:49.601307 : Epoch  5, Batch    231, Loss  0.859609, Average Loss  0.871227, Time  0.444752
2021-09-29 01:11:55.357006 : Epoch  5, Batch    232, Loss  0.874166, Average Loss  0.871342, Time  0.458958
2021-09-29 01:12:01.045724 : Epoch  5, Batch    233, Loss  0.878552, Average Loss  0.871372, Time  0.445228
2021-09-29 01:12:06.753275 : Epoch  5, Batch    234, Loss  0.873912, Average Loss  0.871435, Time  0.444468
2021-09-29 01:12:12.479293 : Epoch  5, Batch    235, Loss  0.868389, Average Loss  0.871415, Time  0.446679
2021-09-29 01:12:18.262093 : Epoch  5, Batch    236, Loss  0.887507, Average Loss  0.871511, Time  0.445604
2021-09-29 01:12:23.987829 : Epoch  5, Batch    237, Loss  0.863111, Average Loss  0.871481, Time  0.445445
2021-09-29 01:12:29.706651 : Epoch  5, Batch    238, Loss  0.874055, Average Loss  0.871495, Time  0.445270
2021-09-29 01:12:35.431134 : Epoch  5, Batch    239, Loss  0.866936, Average Loss  0.871442, Time  0.444492
2021-09-29 01:12:41.200315 : Epoch  5, Batch    240, Loss  0.877377, Average Loss  0.871413, Time  0.454882
2021-09-29 01:12:46.883029 : Epoch  5, Batch    241, Loss  0.876732, Average Loss  0.871389, Time  0.444435
2021-09-29 01:12:52.691004 : Epoch  5, Batch    242, Loss  0.881005, Average Loss  0.871433, Time  0.445099
2021-09-29 01:12:58.444170 : Epoch  5, Batch    243, Loss  0.873721, Average Loss  0.871474, Time  0.444556
2021-09-29 01:13:04.140432 : Epoch  5, Batch    244, Loss  0.870639, Average Loss  0.871443, Time  0.446112
2021-09-29 01:13:09.863577 : Epoch  5, Batch    245, Loss  0.856258, Average Loss  0.871333, Time  0.445159
2021-09-29 01:13:15.569278 : Epoch  5, Batch    246, Loss  0.877678, Average Loss  0.871334, Time  0.443720
2021-09-29 01:13:21.298844 : Epoch  5, Batch    247, Loss  0.876375, Average Loss  0.871403, Time  0.444581
2021-09-29 01:13:27.115578 : Epoch  5, Batch    248, Loss  0.873137, Average Loss  0.871419, Time  0.460361
2021-09-29 01:13:32.870684 : Epoch  5, Batch    249, Loss  0.866382, Average Loss  0.871326, Time  0.444283
2021-09-29 01:13:38.693439 : Epoch  5, Batch    250, Loss  0.878098, Average Loss  0.871398, Time  0.446240
2021-09-29 01:13:44.382135 : Epoch  5, Batch    251, Loss  0.875209, Average Loss  0.871442, Time  0.445277
2021-09-29 01:13:50.124733 : Epoch  5, Batch    252, Loss  0.882158, Average Loss  0.871385, Time  0.446361
2021-09-29 01:13:55.855142 : Epoch  5, Batch    253, Loss  0.867331, Average Loss  0.871394, Time  0.444027
2021-09-29 01:14:01.559184 : Epoch  5, Batch    254, Loss  0.875470, Average Loss  0.871436, Time  0.443368
2021-09-29 01:14:07.221003 : Epoch  5, Batch    255, Loss  0.873379, Average Loss  0.871485, Time  0.445197
2021-09-29 01:14:12.947131 : Epoch  5, Batch    256, Loss  0.868253, Average Loss  0.871499, Time  0.457297
2021-09-29 01:14:18.808071 : Epoch  5, Batch    257, Loss  0.872406, Average Loss  0.871493, Time  0.445812
2021-09-29 01:14:24.506114 : Epoch  5, Batch    258, Loss  0.862753, Average Loss  0.871554, Time  0.444593
2021-09-29 01:14:30.184447 : Epoch  5, Batch    259, Loss  0.874741, Average Loss  0.871554, Time  0.445681
2021-09-29 01:14:35.857858 : Epoch  5, Batch    260, Loss  0.871429, Average Loss  0.871621, Time  0.444605
2021-09-29 01:14:41.567724 : Epoch  5, Batch    261, Loss  0.860017, Average Loss  0.871562, Time  0.444549
2021-09-29 01:14:47.231054 : Epoch  5, Batch    262, Loss  0.862842, Average Loss  0.871533, Time  0.445668
2021-09-29 01:14:52.981937 : Epoch  5, Batch    263, Loss  0.860951, Average Loss  0.871482, Time  0.445808
2021-09-29 01:14:58.727027 : Epoch  5, Batch    264, Loss  0.866864, Average Loss  0.871442, Time  0.456244
2021-09-29 01:15:04.405850 : Epoch  5, Batch    265, Loss  0.880888, Average Loss  0.871556, Time  0.443753
2021-09-29 01:15:10.159894 : Epoch  5, Batch    266, Loss  0.860919, Average Loss  0.871582, Time  0.444438
2021-09-29 01:15:15.869284 : Epoch  5, Batch    267, Loss  0.871892, Average Loss  0.871547, Time  0.443614
2021-09-29 01:15:21.626079 : Epoch  5, Batch    268, Loss  0.857455, Average Loss  0.871526, Time  0.444411
2021-09-29 01:15:27.315683 : Epoch  5, Batch    269, Loss  0.876093, Average Loss  0.871535, Time  0.446679
2021-09-29 01:15:33.031705 : Epoch  5, Batch    270, Loss  0.867152, Average Loss  0.871513, Time  0.443672
2021-09-29 01:15:38.762944 : Epoch  5, Batch    271, Loss  0.880611, Average Loss  0.871569, Time  0.445458
2021-09-29 01:15:44.493838 : Epoch  5, Batch    272, Loss  0.860507, Average Loss  0.871478, Time  0.458384
2021-09-29 01:15:50.258721 : Epoch  5, Batch    273, Loss  0.884776, Average Loss  0.871523, Time  0.445071
2021-09-29 01:15:55.994613 : Epoch  5, Batch    274, Loss  0.869132, Average Loss  0.871409, Time  0.444738
2021-09-29 01:16:01.849611 : Epoch  5, Batch    275, Loss  0.871727, Average Loss  0.871450, Time  0.444611
2021-09-29 01:16:07.615559 : Epoch  5, Batch    276, Loss  0.880486, Average Loss  0.871503, Time  0.445019
2021-09-29 01:16:13.444659 : Epoch  5, Batch    277, Loss  0.880347, Average Loss  0.871483, Time  0.445905
2021-09-29 01:16:19.199003 : Epoch  5, Batch    278, Loss  0.880456, Average Loss  0.871436, Time  0.445266
2021-09-29 01:16:24.925654 : Epoch  5, Batch    279, Loss  0.874575, Average Loss  0.871400, Time  0.445432
2021-09-29 01:16:30.686263 : Epoch  5, Batch    280, Loss  0.875481, Average Loss  0.871502, Time  0.454349
2021-09-29 01:16:36.388082 : Epoch  5, Batch    281, Loss  0.862569, Average Loss  0.871397, Time  0.444912
2021-09-29 01:16:42.143311 : Epoch  5, Batch    282, Loss  0.882722, Average Loss  0.871498, Time  0.446224
2021-09-29 01:16:47.996212 : Epoch  5, Batch    283, Loss  0.872748, Average Loss  0.871499, Time  0.444652
2021-09-29 01:16:53.720919 : Epoch  5, Batch    284, Loss  0.864422, Average Loss  0.871515, Time  0.445015
2021-09-29 01:16:59.407668 : Epoch  5, Batch    285, Loss  0.870892, Average Loss  0.871536, Time  0.444025
2021-09-29 01:17:05.103754 : Epoch  5, Batch    286, Loss  0.857194, Average Loss  0.871476, Time  0.444984
2021-09-29 01:17:10.860003 : Epoch  5, Batch    287, Loss  0.862620, Average Loss  0.871489, Time  0.445415
2021-09-29 01:17:22.310737 : Epoch  5, Batch    288, Loss  0.882734, Average Loss  0.871552, Time  0.454067
2021-09-29 01:21:49.893536 : CheckPoint: Validation Loss  0.00014982, Best Loss  0.00014870
2021-09-29 01:21:55.625739 : Epoch  5, Batch    289, Loss  0.876833, Average Loss  0.871569, Time  0.460418
2021-09-29 01:22:01.338373 : Epoch  5, Batch    290, Loss  0.867557, Average Loss  0.871600, Time  0.445025
2021-09-29 01:22:07.157864 : Epoch  5, Batch    291, Loss  0.884935, Average Loss  0.871656, Time  0.445479
2021-09-29 01:22:12.931522 : Epoch  5, Batch    292, Loss  0.869045, Average Loss  0.871652, Time  0.443975
2021-09-29 01:22:18.652300 : Epoch  5, Batch    293, Loss  0.879070, Average Loss  0.871678, Time  0.444595
2021-09-29 01:22:24.363224 : Epoch  5, Batch    294, Loss  0.860660, Average Loss  0.871621, Time  0.445275
2021-09-29 01:22:30.076643 : Epoch  5, Batch    295, Loss  0.875024, Average Loss  0.871635, Time  0.445611
2021-09-29 01:22:35.840471 : Epoch  5, Batch    296, Loss  0.864218, Average Loss  0.871627, Time  0.446537
2021-09-29 01:22:41.570595 : Epoch  5, Batch    297, Loss  0.872797, Average Loss  0.871635, Time  0.458946
2021-09-29 01:22:47.242862 : Epoch  5, Batch    298, Loss  0.875136, Average Loss  0.871634, Time  0.445223
2021-09-29 01:22:52.970615 : Epoch  5, Batch    299, Loss  0.884821, Average Loss  0.871729, Time  0.445198
2021-09-29 01:22:58.706706 : Epoch  5, Batch    300, Loss  0.881204, Average Loss  0.871760, Time  0.445925
2021-09-29 01:23:04.538400 : Epoch  5, Batch    301, Loss  0.857294, Average Loss  0.871741, Time  0.445574
2021-09-29 01:23:10.280760 : Epoch  5, Batch    302, Loss  0.867253, Average Loss  0.871703, Time  0.444133
2021-09-29 01:23:15.940863 : Epoch  5, Batch    303, Loss  0.870578, Average Loss  0.871673, Time  0.445050
2021-09-29 01:23:21.604205 : Epoch  5, Batch    304, Loss  0.861162, Average Loss  0.871611, Time  0.446161
2021-09-29 01:23:27.356328 : Epoch  5, Batch    305, Loss  0.867374, Average Loss  0.871655, Time  0.460306
2021-09-29 01:23:33.057974 : Epoch  5, Batch    306, Loss  0.865555, Average Loss  0.871650, Time  0.446115
2021-09-29 01:23:38.834672 : Epoch  5, Batch    307, Loss  0.858994, Average Loss  0.871651, Time  0.444775
2021-09-29 01:23:44.470641 : Epoch  5, Batch    308, Loss  0.887303, Average Loss  0.871775, Time  0.443311
2021-09-29 01:23:50.163406 : Epoch  5, Batch    309, Loss  0.883135, Average Loss  0.871735, Time  0.444237
2021-09-29 01:23:55.859089 : Epoch  5, Batch    310, Loss  0.870606, Average Loss  0.871714, Time  0.446241
2021-09-29 01:24:01.583692 : Epoch  5, Batch    311, Loss  0.867022, Average Loss  0.871712, Time  0.444694
2021-09-29 01:24:07.408405 : Epoch  5, Batch    312, Loss  0.869797, Average Loss  0.871695, Time  0.445861
2021-09-29 01:24:13.255394 : Epoch  5, Batch    313, Loss  0.890242, Average Loss  0.871753, Time  0.457242
2021-09-29 01:24:18.999084 : Epoch  5, Batch    314, Loss  0.873903, Average Loss  0.871764, Time  0.444828
2021-09-29 01:24:24.774467 : Epoch  5, Batch    315, Loss  0.867617, Average Loss  0.871724, Time  0.444812
2021-09-29 01:24:30.520313 : Epoch  5, Batch    316, Loss  0.872650, Average Loss  0.871755, Time  0.445629
2021-09-29 01:24:36.356227 : Epoch  5, Batch    317, Loss  0.875105, Average Loss  0.871746, Time  0.445204
2021-09-29 01:24:42.092135 : Epoch  5, Batch    318, Loss  0.856981, Average Loss  0.871651, Time  0.445844
2021-09-29 01:24:47.773570 : Epoch  5, Batch    319, Loss  0.859641, Average Loss  0.871655, Time  0.444272
2021-09-29 01:24:53.505830 : Epoch  5, Batch    320, Loss  0.871092, Average Loss  0.871604, Time  0.445326
2021-09-29 01:24:59.236870 : Epoch  5, Batch    321, Loss  0.866289, Average Loss  0.871688, Time  0.453499
2021-09-29 01:25:04.968296 : Epoch  5, Batch    322, Loss  0.876080, Average Loss  0.871677, Time  0.446740
2021-09-29 01:25:10.690418 : Epoch  5, Batch    323, Loss  0.870494, Average Loss  0.871697, Time  0.444300
2021-09-29 01:25:16.423340 : Epoch  5, Batch    324, Loss  0.872208, Average Loss  0.871718, Time  0.445711
2021-09-29 01:25:22.151400 : Epoch  5, Batch    325, Loss  0.863685, Average Loss  0.871674, Time  0.446726
2021-09-29 01:25:27.886176 : Epoch  5, Batch    326, Loss  0.878967, Average Loss  0.871746, Time  0.444193
2021-09-29 01:25:33.607861 : Epoch  5, Batch    327, Loss  0.871744, Average Loss  0.871718, Time  0.443954
2021-09-29 01:25:39.311048 : Epoch  5, Batch    328, Loss  0.877858, Average Loss  0.871752, Time  0.445521
2021-09-29 01:25:45.072231 : Epoch  5, Batch    329, Loss  0.869025, Average Loss  0.871686, Time  0.462463
2021-09-29 01:25:50.827388 : Epoch  5, Batch    330, Loss  0.860119, Average Loss  0.871644, Time  0.444444
2021-09-29 01:25:56.511054 : Epoch  5, Batch    331, Loss  0.858884, Average Loss  0.871575, Time  0.448145
2021-09-29 01:26:02.195645 : Epoch  5, Batch    332, Loss  0.871294, Average Loss  0.871467, Time  0.446004
2021-09-29 01:26:07.975681 : Epoch  5, Batch    333, Loss  0.858575, Average Loss  0.871353, Time  0.445475
2021-09-29 01:26:13.707012 : Epoch  5, Batch    334, Loss  0.871090, Average Loss  0.871380, Time  0.446652
2021-09-29 01:26:19.399115 : Epoch  5, Batch    335, Loss  0.868149, Average Loss  0.871266, Time  0.445099
2021-09-29 01:26:25.103352 : Epoch  5, Batch    336, Loss  0.875472, Average Loss  0.871318, Time  0.445548
2021-09-29 01:26:30.885783 : Epoch  5, Batch    337, Loss  0.871942, Average Loss  0.871359, Time  0.458646
2021-09-29 01:26:36.613035 : Epoch  5, Batch    338, Loss  0.862663, Average Loss  0.871340, Time  0.445529
2021-09-29 01:26:42.315269 : Epoch  5, Batch    339, Loss  0.872029, Average Loss  0.871310, Time  0.444654
2021-09-29 01:26:48.057452 : Epoch  5, Batch    340, Loss  0.882404, Average Loss  0.871384, Time  0.444918
2021-09-29 01:26:53.750056 : Epoch  5, Batch    341, Loss  0.854371, Average Loss  0.871206, Time  0.444613
2021-09-29 01:26:59.416372 : Epoch  5, Batch    342, Loss  0.869924, Average Loss  0.871204, Time  0.444089
2021-09-29 01:27:05.126876 : Epoch  5, Batch    343, Loss  0.869602, Average Loss  0.871204, Time  0.445223
2021-09-29 01:27:10.846205 : Epoch  5, Batch    344, Loss  0.862905, Average Loss  0.871151, Time  0.445378
2021-09-29 01:27:16.547363 : Epoch  5, Batch    345, Loss  0.858170, Average Loss  0.871141, Time  0.458004
2021-09-29 01:27:22.262007 : Epoch  5, Batch    346, Loss  0.873427, Average Loss  0.871142, Time  0.445343
2021-09-29 01:27:27.990706 : Epoch  5, Batch    347, Loss  0.870665, Average Loss  0.871138, Time  0.444631
2021-09-29 01:27:33.713640 : Epoch  5, Batch    348, Loss  0.872846, Average Loss  0.871200, Time  0.444759
2021-09-29 01:27:39.361217 : Epoch  5, Batch    349, Loss  0.855605, Average Loss  0.871048, Time  0.444052
2021-09-29 01:27:45.069621 : Epoch  5, Batch    350, Loss  0.886813, Average Loss  0.871072, Time  0.444296
2021-09-29 01:27:50.795817 : Epoch  5, Batch    351, Loss  0.853389, Average Loss  0.870943, Time  0.443709
2021-09-29 01:27:56.584241 : Epoch  5, Batch    352, Loss  0.877787, Average Loss  0.871009, Time  0.443603
2021-09-29 01:28:02.355762 : Epoch  5, Batch    353, Loss  0.880958, Average Loss  0.871024, Time  0.456395
2021-09-29 01:28:08.121056 : Epoch  5, Batch    354, Loss  0.859724, Average Loss  0.871023, Time  0.446095
2021-09-29 01:28:13.852509 : Epoch  5, Batch    355, Loss  0.870185, Average Loss  0.871089, Time  0.446249
2021-09-29 01:28:19.646958 : Epoch  5, Batch    356, Loss  0.870612, Average Loss  0.871103, Time  0.446619
2021-09-29 01:28:25.430551 : Epoch  5, Batch    357, Loss  0.864039, Average Loss  0.871027, Time  0.444232
2021-09-29 01:28:31.039306 : Epoch  5, Batch    358, Loss  0.864390, Average Loss  0.870974, Time  0.445924
2021-09-29 01:28:36.720125 : Epoch  5, Batch    359, Loss  0.872675, Average Loss  0.870950, Time  0.444200
2021-09-29 01:28:42.390702 : Epoch  5, Batch    360, Loss  0.867859, Average Loss  0.870952, Time  0.443991
2021-09-29 01:28:48.101449 : Epoch  5, Batch    361, Loss  0.868613, Average Loss  0.870878, Time  0.459064
2021-09-29 01:28:53.795926 : Epoch  5, Batch    362, Loss  0.862278, Average Loss  0.870864, Time  0.444829
2021-09-29 01:28:59.541769 : Epoch  5, Batch    363, Loss  0.859431, Average Loss  0.870890, Time  0.445727
2021-09-29 01:29:05.218477 : Epoch  5, Batch    364, Loss  0.863538, Average Loss  0.870788, Time  0.444573
2021-09-29 01:29:10.916163 : Epoch  5, Batch    365, Loss  0.881502, Average Loss  0.870881, Time  0.445510
2021-09-29 01:29:16.613855 : Epoch  5, Batch    366, Loss  0.859787, Average Loss  0.870801, Time  0.445370
2021-09-29 01:29:22.297270 : Epoch  5, Batch    367, Loss  0.883400, Average Loss  0.870881, Time  0.444477
2021-09-29 01:29:28.020465 : Epoch  5, Batch    368, Loss  0.857607, Average Loss  0.870814, Time  0.445672
2021-09-29 01:29:33.766307 : Epoch  5, Batch    369, Loss  0.864856, Average Loss  0.870748, Time  0.458696
2021-09-29 01:29:39.484792 : Epoch  5, Batch    370, Loss  0.875472, Average Loss  0.870750, Time  0.444283
2021-09-29 01:29:45.173615 : Epoch  5, Batch    371, Loss  0.874580, Average Loss  0.870807, Time  0.444624
2021-09-29 01:29:50.917839 : Epoch  5, Batch    372, Loss  0.873903, Average Loss  0.870859, Time  0.468764
2021-09-29 01:29:56.711496 : Epoch  5, Batch    373, Loss  0.859007, Average Loss  0.870756, Time  0.530066
2021-09-29 01:30:02.523068 : Epoch  5, Batch    374, Loss  0.876677, Average Loss  0.870773, Time  0.532429
2021-09-29 01:30:08.308402 : Epoch  5, Batch    375, Loss  0.873185, Average Loss  0.870761, Time  0.524307
2021-09-29 01:30:14.102451 : Epoch  5, Batch    376, Loss  0.859352, Average Loss  0.870763, Time  0.526779
2021-09-29 01:30:19.876950 : Epoch  5, Batch    377, Loss  0.873447, Average Loss  0.870782, Time  0.531893
2021-09-29 01:30:25.641299 : Epoch  5, Batch    378, Loss  0.870217, Average Loss  0.870784, Time  0.528547
2021-09-29 01:30:31.362974 : Epoch  5, Batch    379, Loss  0.891173, Average Loss  0.870963, Time  0.529874
2021-09-29 01:30:37.122793 : Epoch  5, Batch    380, Loss  0.873908, Average Loss  0.871002, Time  0.523651
2021-09-29 01:30:42.844465 : Epoch  5, Batch    381, Loss  0.862352, Average Loss  0.871037, Time  0.529204
2021-09-29 01:30:48.620461 : Epoch  5, Batch    382, Loss  0.876008, Average Loss  0.870967, Time  0.531362
2021-09-29 01:30:54.398835 : Epoch  5, Batch    383, Loss  0.866787, Average Loss  0.870919, Time  0.532777
2021-09-29 01:31:00.170460 : Epoch  5, Batch    384, Loss  0.865116, Average Loss  0.870908, Time  0.526551
2021-09-29 01:31:05.945750 : Epoch  5, Batch    385, Loss  0.874813, Average Loss  0.870938, Time  0.538291
2021-09-29 01:31:11.708298 : Epoch  5, Batch    386, Loss  0.877178, Average Loss  0.870917, Time  0.526510
2021-09-29 01:31:17.443510 : Epoch  5, Batch    387, Loss  0.870005, Average Loss  0.870895, Time  0.527545
2021-09-29 01:31:23.226638 : Epoch  5, Batch    388, Loss  0.858804, Average Loss  0.870800, Time  0.527110
2021-09-29 01:35:53.357581 : CheckPoint: Validation Loss  0.00015103, Best Loss  0.00014870
2021-09-29 01:35:59.080997 : Epoch  5, Batch    389, Loss  0.874034, Average Loss  0.870877, Time  0.527556
2021-09-29 01:36:04.792446 : Epoch  5, Batch    390, Loss  0.863236, Average Loss  0.870760, Time  0.523241
2021-09-29 01:36:10.529687 : Epoch  5, Batch    391, Loss  0.882628, Average Loss  0.870821, Time  0.534788
2021-09-29 01:36:16.550372 : Epoch  5, Batch    392, Loss  0.875382, Average Loss  0.870799, Time  0.534660
2021-09-29 01:36:22.560541 : Epoch  5, Batch    393, Loss  0.868444, Average Loss  0.870763, Time  0.532232
2021-09-29 01:36:28.581886 : Epoch  5, Batch    394, Loss  0.866716, Average Loss  0.870702, Time  0.539228
2021-09-29 01:36:34.576829 : Epoch  5, Batch    395, Loss  0.867395, Average Loss  0.870685, Time  0.523899
2021-09-29 01:36:40.591926 : Epoch  5, Batch    396, Loss  0.881440, Average Loss  0.870804, Time  0.533050
2021-09-29 01:36:46.615168 : Epoch  5, Batch    397, Loss  0.869812, Average Loss  0.870771, Time  0.536587
2021-09-29 01:36:52.617338 : Epoch  5, Batch    398, Loss  0.878216, Average Loss  0.870813, Time  0.528476
2021-09-29 01:36:58.641799 : Epoch  5, Batch    399, Loss  0.868165, Average Loss  0.870763, Time  0.529702
2021-09-29 01:37:04.645097 : Epoch  5, Batch    400, Loss  0.879664, Average Loss  0.870825, Time  0.524457
2021-09-29 01:37:10.666407 : Epoch  5, Batch    401, Loss  0.877838, Average Loss  0.870839, Time  0.529033
2021-09-29 01:37:16.680150 : Epoch  5, Batch    402, Loss  0.869072, Average Loss  0.870845, Time  0.530386
2021-09-29 01:37:22.694823 : Epoch  5, Batch    403, Loss  0.873073, Average Loss  0.870789, Time  0.533592
2021-09-29 01:37:28.726891 : Epoch  5, Batch    404, Loss  0.872543, Average Loss  0.870721, Time  0.536157
2021-09-29 01:37:34.735697 : Epoch  5, Batch    405, Loss  0.861929, Average Loss  0.870737, Time  0.526593
2021-09-29 01:37:40.756950 : Epoch  5, Batch    406, Loss  0.861018, Average Loss  0.870692, Time  0.533002
2021-09-29 01:37:46.786271 : Epoch  5, Batch    407, Loss  0.890990, Average Loss  0.870778, Time  0.525527
2021-09-29 01:37:52.794791 : Epoch  5, Batch    408, Loss  0.870271, Average Loss  0.870757, Time  0.525706
2021-09-29 01:37:58.800606 : Epoch  5, Batch    409, Loss  0.878616, Average Loss  0.870830, Time  0.533054
2021-09-29 01:38:04.800891 : Epoch  5, Batch    410, Loss  0.858968, Average Loss  0.870854, Time  0.532707
2021-09-29 01:38:10.813395 : Epoch  5, Batch    411, Loss  0.863422, Average Loss  0.870786, Time  0.531679
2021-09-29 01:38:16.820300 : Epoch  5, Batch    412, Loss  0.864250, Average Loss  0.870750, Time  0.534393
2021-09-29 01:38:22.856611 : Epoch  5, Batch    413, Loss  0.874756, Average Loss  0.870849, Time  0.529793
2021-09-29 01:38:28.876016 : Epoch  5, Batch    414, Loss  0.870694, Average Loss  0.870815, Time  0.526258
2021-09-29 01:38:34.881116 : Epoch  5, Batch    415, Loss  0.875012, Average Loss  0.870828, Time  0.524633
2021-09-29 01:38:40.885810 : Epoch  5, Batch    416, Loss  0.882213, Average Loss  0.870813, Time  0.528311
2021-09-29 01:38:46.929637 : Epoch  5, Batch    417, Loss  0.880609, Average Loss  0.870886, Time  0.539129
2021-09-29 01:38:52.962471 : Epoch  5, Batch    418, Loss  0.878945, Average Loss  0.870955, Time  0.534661
2021-09-29 01:38:58.982833 : Epoch  5, Batch    419, Loss  0.858283, Average Loss  0.870843, Time  0.525109
2021-09-29 01:39:04.988605 : Epoch  5, Batch    420, Loss  0.887165, Average Loss  0.871029, Time  0.538109
2021-09-29 01:39:11.017988 : Epoch  5, Batch    421, Loss  0.868489, Average Loss  0.870999, Time  0.535987
2021-09-29 01:39:17.011449 : Epoch  5, Batch    422, Loss  0.856829, Average Loss  0.871016, Time  0.534316
2021-09-29 01:39:23.024913 : Epoch  5, Batch    423, Loss  0.874694, Average Loss  0.870998, Time  0.532526
2021-09-29 01:39:29.021812 : Epoch  5, Batch    424, Loss  0.874318, Average Loss  0.870987, Time  0.528559
2021-09-29 01:39:35.045558 : Epoch  5, Batch    425, Loss  0.856770, Average Loss  0.870917, Time  0.539526
2021-09-29 01:39:41.055800 : Epoch  5, Batch    426, Loss  0.876143, Average Loss  0.870899, Time  0.530742
2021-09-29 01:39:47.059848 : Epoch  5, Batch    427, Loss  0.882000, Average Loss  0.870970, Time  0.526869
2021-09-29 01:39:53.066800 : Epoch  5, Batch    428, Loss  0.882472, Average Loss  0.871061, Time  0.528656
2021-09-29 01:39:59.074447 : Epoch  5, Batch    429, Loss  0.861177, Average Loss  0.870949, Time  0.532520
2021-09-29 01:40:05.104784 : Epoch  5, Batch    430, Loss  0.868774, Average Loss  0.870874, Time  0.530423
2021-09-29 01:40:11.128862 : Epoch  5, Batch    431, Loss  0.872905, Average Loss  0.870941, Time  0.535340
2021-09-29 01:40:17.186872 : Epoch  5, Batch    432, Loss  0.861178, Average Loss  0.870876, Time  0.549325
2021-09-29 01:40:23.212622 : Epoch  5, Batch    433, Loss  0.871687, Average Loss  0.870841, Time  0.530030
2021-09-29 01:40:29.216953 : Epoch  5, Batch    434, Loss  0.872392, Average Loss  0.870834, Time  0.527511
2021-09-29 01:40:35.234080 : Epoch  5, Batch    435, Loss  0.855954, Average Loss  0.870772, Time  0.533779
2021-09-29 01:40:41.249133 : Epoch  5, Batch    436, Loss  0.872039, Average Loss  0.870694, Time  0.530202
2021-09-29 01:40:47.272845 : Epoch  5, Batch    437, Loss  0.870750, Average Loss  0.870732, Time  0.533709
2021-09-29 01:40:53.288982 : Epoch  5, Batch    438, Loss  0.860449, Average Loss  0.870664, Time  0.533543
2021-09-29 01:40:59.296357 : Epoch  5, Batch    439, Loss  0.860978, Average Loss  0.870635, Time  0.534165
2021-09-29 01:41:05.311458 : Epoch  5, Batch    440, Loss  0.864675, Average Loss  0.870571, Time  0.540099
2021-09-29 01:41:11.314735 : Epoch  5, Batch    441, Loss  0.884850, Average Loss  0.870612, Time  0.526632
2021-09-29 01:41:17.326071 : Epoch  5, Batch    442, Loss  0.865367, Average Loss  0.870533, Time  0.522827
2021-09-29 01:41:23.341734 : Epoch  5, Batch    443, Loss  0.863803, Average Loss  0.870484, Time  0.530580
2021-09-29 01:41:29.341682 : Epoch  5, Batch    444, Loss  0.877478, Average Loss  0.870518, Time  0.533526
2021-09-29 01:41:35.356982 : Epoch  5, Batch    445, Loss  0.875368, Average Loss  0.870614, Time  0.532065
2021-09-29 01:41:41.367090 : Epoch  5, Batch    446, Loss  0.867209, Average Loss  0.870561, Time  0.533590
2021-09-29 01:41:47.377153 : Epoch  5, Batch    447, Loss  0.868634, Average Loss  0.870523, Time  0.536130
2021-09-29 01:41:53.386960 : Epoch  5, Batch    448, Loss  0.870376, Average Loss  0.870509, Time  0.529546
2021-09-29 01:41:59.396074 : Epoch  5, Batch    449, Loss  0.882079, Average Loss  0.870587, Time  0.530909
2021-09-29 01:42:05.428247 : Epoch  5, Batch    450, Loss  0.856975, Average Loss  0.870482, Time  0.537285
2021-09-29 01:42:11.475982 : Epoch  5, Batch    451, Loss  0.855464, Average Loss  0.870383, Time  0.541250
2021-09-29 01:42:17.494557 : Epoch  5, Batch    452, Loss  0.859191, Average Loss  0.870268, Time  0.529372
2021-09-29 01:42:23.514740 : Epoch  5, Batch    453, Loss  0.883857, Average Loss  0.870351, Time  0.536192
2021-09-29 01:42:29.538377 : Epoch  5, Batch    454, Loss  0.859594, Average Loss  0.870271, Time  0.530016
2021-09-29 01:42:35.574894 : Epoch  5, Batch    455, Loss  0.871417, Average Loss  0.870262, Time  0.543522
2021-09-29 01:42:41.590232 : Epoch  5, Batch    456, Loss  0.863724, Average Loss  0.870239, Time  0.532845
2021-09-29 01:42:47.607757 : Epoch  5, Batch    457, Loss  0.880129, Average Loss  0.870277, Time  0.531289
2021-09-29 01:42:53.631125 : Epoch  5, Batch    458, Loss  0.858909, Average Loss  0.870258, Time  0.524384
2021-09-29 01:42:59.664633 : Epoch  5, Batch    459, Loss  0.867432, Average Loss  0.870222, Time  0.527957
2021-09-29 01:43:05.662456 : Epoch  5, Batch    460, Loss  0.863557, Average Loss  0.870182, Time  0.522825
2021-09-29 01:43:11.684066 : Epoch  5, Batch    461, Loss  0.867250, Average Loss  0.870219, Time  0.534947
2021-09-29 01:43:17.698915 : Epoch  5, Batch    462, Loss  0.870099, Average Loss  0.870255, Time  0.534605
2021-09-29 01:43:23.706270 : Epoch  5, Batch    463, Loss  0.867639, Average Loss  0.870288, Time  0.534868
2021-09-29 01:43:29.720131 : Epoch  5, Batch    464, Loss  0.864216, Average Loss  0.870275, Time  0.525873
2021-09-29 01:43:35.738224 : Epoch  5, Batch    465, Loss  0.858372, Average Loss  0.870162, Time  0.525013
2021-09-29 01:43:41.754508 : Epoch  5, Batch    466, Loss  0.866967, Average Loss  0.870193, Time  0.530191
2021-09-29 01:43:47.766045 : Epoch  5, Batch    467, Loss  0.888932, Average Loss  0.870278, Time  0.526784
2021-09-29 01:43:53.773808 : Epoch  5, Batch    468, Loss  0.873185, Average Loss  0.870357, Time  0.529661
2021-09-29 01:43:59.787696 : Epoch  5, Batch    469, Loss  0.859012, Average Loss  0.870271, Time  0.528845
2021-09-29 01:44:05.807891 : Epoch  5, Batch    470, Loss  0.874477, Average Loss  0.870308, Time  0.534036
2021-09-29 01:44:11.853794 : Epoch  5, Batch    471, Loss  0.864564, Average Loss  0.870227, Time  0.545274
2021-09-29 01:44:17.806841 : Epoch  5, Batch    472, Loss  0.869425, Average Loss  0.870272, Time  0.446250
2021-09-29 01:44:26.506313 : Epoch  5, Batch    473, Loss  0.868583, Average Loss  0.870191, Time  0.449538
2021-09-29 01:44:32.457658 : Epoch  5, Batch    474, Loss  0.864889, Average Loss  0.870170, Time  0.449976
2021-09-29 01:44:38.393186 : Epoch  5, Batch    475, Loss  0.870815, Average Loss  0.870165, Time  0.446747
2021-09-29 01:44:44.313967 : Epoch  5, Batch    476, Loss  0.878206, Average Loss  0.870154, Time  0.444988
2021-09-29 01:44:50.237579 : Epoch  5, Batch    477, Loss  0.883384, Average Loss  0.870169, Time  0.445414
2021-09-29 01:44:56.170207 : Epoch  5, Batch    478, Loss  0.862677, Average Loss  0.870080, Time  0.454604
2021-09-29 01:45:02.093965 : Epoch  5, Batch    479, Loss  0.872882, Average Loss  0.870072, Time  0.445776
2021-09-29 01:45:07.998578 : Epoch  5, Batch    480, Loss  0.868213, Average Loss  0.870035, Time  0.446405
2021-09-29 01:45:13.901789 : Epoch  5, Batch    481, Loss  0.867235, Average Loss  0.870059, Time  0.445375
2021-09-29 01:45:19.832867 : Epoch  5, Batch    482, Loss  0.864641, Average Loss  0.869968, Time  0.447160
2021-09-29 01:45:25.757034 : Epoch  5, Batch    483, Loss  0.865188, Average Loss  0.869931, Time  0.445832
2021-09-29 01:45:31.666042 : Epoch  5, Batch    484, Loss  0.866714, Average Loss  0.869942, Time  0.446815
2021-09-29 01:45:37.589939 : Epoch  5, Batch    485, Loss  0.868241, Average Loss  0.869929, Time  0.445081
2021-09-29 01:45:43.528841 : Epoch  5, Batch    486, Loss  0.854368, Average Loss  0.869915, Time  0.459555
2021-09-29 01:45:49.436214 : Epoch  5, Batch    487, Loss  0.869321, Average Loss  0.869948, Time  0.446523
2021-09-29 01:45:55.381822 : Epoch  5, Batch    488, Loss  0.884911, Average Loss  0.869959, Time  0.445179
2021-09-29 01:50:32.816601 : CheckPoint: Validation Loss  0.00015200, Best Loss  0.00014870
2021-09-29 01:50:38.730082 : Epoch  5, Batch    489, Loss  0.871420, Average Loss  0.869932, Time  0.446664
2021-09-29 01:50:44.646515 : Epoch  5, Batch    490, Loss  0.862798, Average Loss  0.869908, Time  0.446315
2021-09-29 01:50:50.574756 : Epoch  5, Batch    491, Loss  0.886124, Average Loss  0.869914, Time  0.444296
2021-09-29 01:50:56.515679 : Epoch  5, Batch    492, Loss  0.858639, Average Loss  0.869862, Time  0.444924
2021-09-29 01:51:02.462527 : Epoch  5, Batch    493, Loss  0.886326, Average Loss  0.869898, Time  0.457124
2021-09-29 01:51:08.401980 : Epoch  5, Batch    494, Loss  0.863001, Average Loss  0.869910, Time  0.445593
2021-09-29 01:51:14.331101 : Epoch  5, Batch    495, Loss  0.860977, Average Loss  0.869840, Time  0.445038
2021-09-29 01:51:20.263160 : Epoch  5, Batch    496, Loss  0.865510, Average Loss  0.869846, Time  0.444302
2021-09-29 01:51:26.199761 : Epoch  5, Batch    497, Loss  0.869417, Average Loss  0.869829, Time  0.445637
2021-09-29 01:51:32.136007 : Epoch  5, Batch    498, Loss  0.868683, Average Loss  0.869797, Time  0.446869
2021-09-29 01:51:38.076674 : Epoch  5, Batch    499, Loss  0.863561, Average Loss  0.869691, Time  0.448117
2021-09-29 01:51:44.014257 : Epoch  5, Batch    500, Loss  0.861618, Average Loss  0.869593, Time  0.445634
2021-09-29 01:51:49.955628 : Epoch  5, Batch    501, Loss  0.869556, Average Loss  0.869654, Time  0.454310
2021-09-29 01:51:55.893345 : Epoch  5, Batch    502, Loss  0.875130, Average Loss  0.869694, Time  0.447780
2021-09-29 01:52:01.805536 : Epoch  5, Batch    503, Loss  0.874444, Average Loss  0.869713, Time  0.446866
2021-09-29 01:52:07.741393 : Epoch  5, Batch    504, Loss  0.864257, Average Loss  0.869728, Time  0.447935
2021-09-29 01:52:13.686446 : Epoch  5, Batch    505, Loss  0.873732, Average Loss  0.869760, Time  0.446546
2021-09-29 01:52:19.625800 : Epoch  5, Batch    506, Loss  0.882563, Average Loss  0.869845, Time  0.446385
2021-09-29 01:52:25.559758 : Epoch  5, Batch    507, Loss  0.873650, Average Loss  0.869919, Time  0.449936
2021-09-29 01:52:31.484797 : Epoch  5, Batch    508, Loss  0.858852, Average Loss  0.869776, Time  0.445303
2021-09-29 01:52:37.425931 : Epoch  5, Batch    509, Loss  0.861396, Average Loss  0.869668, Time  0.455915
2021-09-29 01:52:43.362000 : Epoch  5, Batch    510, Loss  0.881881, Average Loss  0.869724, Time  0.445662
2021-09-29 01:52:49.311154 : Epoch  5, Batch    511, Loss  0.873596, Average Loss  0.869757, Time  0.450260
2021-09-29 01:52:55.247261 : Epoch  5, Batch    512, Loss  0.870532, Average Loss  0.869760, Time  0.444707
2021-09-29 01:53:01.167788 : Epoch  5, Batch    513, Loss  0.869134, Average Loss  0.869655, Time  0.448123
2021-09-29 01:53:07.114919 : Epoch  5, Batch    514, Loss  0.878552, Average Loss  0.869678, Time  0.445152
2021-09-29 01:53:13.049579 : Epoch  5, Batch    515, Loss  0.877144, Average Loss  0.869726, Time  0.445168
2021-09-29 01:53:18.991316 : Epoch  5, Batch    516, Loss  0.874627, Average Loss  0.869736, Time  0.445010
2021-09-29 01:53:24.941748 : Epoch  5, Batch    517, Loss  0.876755, Average Loss  0.869744, Time  0.464170
2021-09-29 01:53:30.870791 : Epoch  5, Batch    518, Loss  0.885109, Average Loss  0.869885, Time  0.445925
2021-09-29 01:53:36.809242 : Epoch  5, Batch    519, Loss  0.864969, Average Loss  0.869911, Time  0.444667
2021-09-29 01:53:42.742646 : Epoch  5, Batch    520, Loss  0.871563, Average Loss  0.869914, Time  0.447282
2021-09-29 01:53:48.677787 : Epoch  5, Batch    521, Loss  0.863569, Average Loss  0.869900, Time  0.444688
2021-09-29 01:53:54.621338 : Epoch  5, Batch    522, Loss  0.880058, Average Loss  0.869920, Time  0.447901
2021-09-29 01:54:00.566574 : Epoch  5, Batch    523, Loss  0.869766, Average Loss  0.869916, Time  0.448591
2021-09-29 01:54:06.507238 : Epoch  5, Batch    524, Loss  0.887739, Average Loss  0.869994, Time  0.446072
2021-09-29 01:54:12.432766 : Epoch  5, Batch    525, Loss  0.863379, Average Loss  0.869992, Time  0.461436
2021-09-29 01:54:18.367832 : Epoch  5, Batch    526, Loss  0.887380, Average Loss  0.870034, Time  0.445117
2021-09-29 01:54:24.313103 : Epoch  5, Batch    527, Loss  0.867607, Average Loss  0.870014, Time  0.450975
2021-09-29 01:54:30.250389 : Epoch  5, Batch    528, Loss  0.865186, Average Loss  0.869950, Time  0.447638
2021-09-29 01:54:36.188936 : Epoch  5, Batch    529, Loss  0.863729, Average Loss  0.869924, Time  0.449501
2021-09-29 01:54:42.120390 : Epoch  5, Batch    530, Loss  0.872265, Average Loss  0.869985, Time  0.447445
2021-09-29 01:54:48.047597 : Epoch  5, Batch    531, Loss  0.868956, Average Loss  0.870035, Time  0.445819
2021-09-29 01:54:53.969775 : Epoch  5, Batch    532, Loss  0.847269, Average Loss  0.869915, Time  0.456574
2021-09-29 01:54:59.892254 : Epoch  5, Batch    533, Loss  0.867440, Average Loss  0.869959, Time  0.445880
2021-09-29 01:55:05.821283 : Epoch  5, Batch    534, Loss  0.873567, Average Loss  0.869972, Time  0.445470
2021-09-29 01:55:11.788779 : Epoch  5, Batch    535, Loss  0.875654, Average Loss  0.870009, Time  0.444593
2021-09-29 01:55:17.713358 : Epoch  5, Batch    536, Loss  0.865256, Average Loss  0.869958, Time  0.445284
2021-09-29 01:55:23.632006 : Epoch  5, Batch    537, Loss  0.871787, Average Loss  0.869957, Time  0.450611
2021-09-29 01:55:29.577241 : Epoch  5, Batch    538, Loss  0.866577, Average Loss  0.869977, Time  0.445350
2021-09-29 01:55:35.514758 : Epoch  5, Batch    539, Loss  0.874452, Average Loss  0.869989, Time  0.447885
2021-09-29 01:55:41.455541 : Epoch  5, Batch    540, Loss  0.871732, Average Loss  0.869936, Time  0.453834
2021-09-29 01:55:47.384280 : Epoch  5, Batch    541, Loss  0.870722, Average Loss  0.870017, Time  0.445178
2021-09-29 01:55:53.338682 : Epoch  5, Batch    542, Loss  0.869238, Average Loss  0.870014, Time  0.445381
2021-09-29 01:55:59.283719 : Epoch  5, Batch    543, Loss  0.869934, Average Loss  0.870016, Time  0.445976
2021-09-29 01:56:05.221898 : Epoch  5, Batch    544, Loss  0.873523, Average Loss  0.870069, Time  0.447965
2021-09-29 01:56:11.169617 : Epoch  5, Batch    545, Loss  0.858659, Average Loss  0.870071, Time  0.454126
2021-09-29 01:56:17.116182 : Epoch  5, Batch    546, Loss  0.855643, Average Loss  0.869982, Time  0.450681
2021-09-29 01:56:23.057342 : Epoch  5, Batch    547, Loss  0.887406, Average Loss  0.870066, Time  0.446559
2021-09-29 01:56:29.005640 : Epoch  5, Batch    548, Loss  0.870079, Average Loss  0.870052, Time  0.458851
2021-09-29 01:56:34.945254 : Epoch  5, Batch    549, Loss  0.865532, Average Loss  0.870102, Time  0.447452
2021-09-29 01:56:40.898737 : Epoch  5, Batch    550, Loss  0.862677, Average Loss  0.869981, Time  0.444855
2021-09-29 01:56:46.834312 : Epoch  5, Batch    551, Loss  0.867021, Average Loss  0.870049, Time  0.446105
2021-09-29 01:56:52.773845 : Epoch  5, Batch    552, Loss  0.870970, Average Loss  0.870015, Time  0.447587
2021-09-29 01:56:58.694848 : Epoch  5, Batch    553, Loss  0.880553, Average Loss  0.870013, Time  0.446128
2021-09-29 01:57:04.646323 : Epoch  5, Batch    554, Loss  0.867266, Average Loss  0.870051, Time  0.447238
2021-09-29 01:57:10.572223 : Epoch  5, Batch    555, Loss  0.862895, Average Loss  0.870014, Time  0.445151
2021-09-29 01:57:16.512107 : Epoch  5, Batch    556, Loss  0.868780, Average Loss  0.870005, Time  0.457069
2021-09-29 01:57:22.432862 : Epoch  5, Batch    557, Loss  0.875536, Average Loss  0.870063, Time  0.450275
2021-09-29 01:57:28.366901 : Epoch  5, Batch    558, Loss  0.867088, Average Loss  0.870076, Time  0.448536
2021-09-29 01:57:34.280372 : Epoch  5, Batch    559, Loss  0.887464, Average Loss  0.870150, Time  0.447898
2021-09-29 01:57:40.208521 : Epoch  5, Batch    560, Loss  0.872546, Average Loss  0.870174, Time  0.446794
2021-09-29 01:57:46.121872 : Epoch  5, Batch    561, Loss  0.871645, Average Loss  0.870189, Time  0.446584
2021-09-29 01:57:52.068506 : Epoch  5, Batch    562, Loss  0.869330, Average Loss  0.870224, Time  0.444206
2021-09-29 01:57:58.021868 : Epoch  5, Batch    563, Loss  0.879523, Average Loss  0.870324, Time  0.461892
2021-09-29 01:58:04.495511 : Epoch  5, Batch    564, Loss  0.867100, Average Loss  0.870342, Time  0.446111
2021-09-29 01:58:37.466288 : Epoch  5, Batch    565, Loss  0.862015, Average Loss  0.870245, Time  0.454221
2021-09-29 01:58:43.420781 : Epoch  5, Batch    566, Loss  0.859857, Average Loss  0.870245, Time  0.447342
2021-09-29 01:58:49.367718 : Epoch  5, Batch    567, Loss  0.865827, Average Loss  0.870157, Time  0.463663
2021-09-29 01:58:55.307548 : Epoch  5, Batch    568, Loss  0.864093, Average Loss  0.870190, Time  0.448096
2021-09-29 01:59:01.235721 : Epoch  5, Batch    569, Loss  0.864941, Average Loss  0.870190, Time  0.445899
2021-09-29 01:59:07.178123 : Epoch  5, Batch    570, Loss  0.863617, Average Loss  0.870131, Time  0.445798
2021-09-29 01:59:13.104408 : Epoch  5, Batch    571, Loss  0.878241, Average Loss  0.870149, Time  0.446646
2021-09-29 01:59:19.057270 : Epoch  5, Batch    572, Loss  0.866456, Average Loss  0.870112, Time  0.452330
2021-09-29 01:59:25.000296 : Epoch  5, Batch    573, Loss  0.867879, Average Loss  0.870156, Time  0.448078
2021-09-29 01:59:30.958825 : Epoch  5, Batch    574, Loss  0.867708, Average Loss  0.870111, Time  0.460910
2021-09-29 01:59:36.891965 : Epoch  5, Batch    575, Loss  0.871573, Average Loss  0.870103, Time  0.444842
2021-09-29 01:59:42.832658 : Epoch  5, Batch    576, Loss  0.875409, Average Loss  0.870184, Time  0.447206
2021-09-29 01:59:48.752557 : Epoch  5, Batch    577, Loss  0.853381, Average Loss  0.870083, Time  0.445600
2021-09-29 01:59:54.666240 : Epoch  5, Batch    578, Loss  0.872866, Average Loss  0.870097, Time  0.444669
2021-09-29 02:00:00.594522 : Epoch  5, Batch    579, Loss  0.865955, Average Loss  0.869970, Time  0.444938
2021-09-29 02:00:06.532552 : Epoch  5, Batch    580, Loss  0.871305, Average Loss  0.869957, Time  0.446318
2021-09-29 02:00:12.468933 : Epoch  5, Batch    581, Loss  0.879288, Average Loss  0.870042, Time  0.448277
2021-09-29 02:00:18.421647 : Epoch  5, Batch    582, Loss  0.867380, Average Loss  0.869999, Time  0.460682
2021-09-29 02:00:24.347178 : Epoch  5, Batch    583, Loss  0.879971, Average Loss  0.870065, Time  0.445037
2021-09-29 02:00:30.280419 : Epoch  5, Batch    584, Loss  0.871001, Average Loss  0.870094, Time  0.445134
2021-09-29 02:00:36.193171 : Epoch  5, Batch    585, Loss  0.870690, Average Loss  0.870074, Time  0.444710
2021-09-29 02:00:42.134804 : Epoch  5, Batch    586, Loss  0.863969, Average Loss  0.870008, Time  0.446640
2021-09-29 02:00:48.053185 : Epoch  5, Batch    587, Loss  0.874644, Average Loss  0.870031, Time  0.444827
2021-09-29 02:00:53.971556 : Epoch  5, Batch    588, Loss  0.877092, Average Loss  0.870122, Time  0.446441
2021-09-29 02:05:31.405799 : CheckPoint: Validation Loss  0.00015098, Best Loss  0.00014870
2021-09-29 02:05:37.315157 : Epoch  5, Batch    589, Loss  0.869596, Average Loss  0.870100, Time  0.445140
2021-09-29 02:05:43.236913 : Epoch  5, Batch    590, Loss  0.869867, Average Loss  0.870133, Time  0.455924
2021-09-29 02:05:49.154658 : Epoch  5, Batch    591, Loss  0.863862, Average Loss  0.870039, Time  0.449175
2021-09-29 02:05:55.076758 : Epoch  5, Batch    592, Loss  0.866304, Average Loss  0.869994, Time  0.445302
2021-09-29 02:06:00.993505 : Epoch  5, Batch    593, Loss  0.859223, Average Loss  0.869948, Time  0.445725
2021-09-29 02:06:06.903570 : Epoch  5, Batch    594, Loss  0.877011, Average Loss  0.869999, Time  0.447304
2021-09-29 02:06:12.810231 : Epoch  5, Batch    595, Loss  0.873501, Average Loss  0.870030, Time  0.446123
2021-09-29 02:06:18.719613 : Epoch  5, Batch    596, Loss  0.853046, Average Loss  0.869888, Time  0.447996
2021-09-29 02:06:24.621800 : Epoch  5, Batch    597, Loss  0.871633, Average Loss  0.869897, Time  0.445280
2021-09-29 02:06:30.547239 : Epoch  5, Batch    598, Loss  0.850709, Average Loss  0.869760, Time  0.452408
2021-09-29 02:06:36.461293 : Epoch  5, Batch    599, Loss  0.872059, Average Loss  0.869779, Time  0.445668
2021-09-29 02:06:42.386986 : Epoch  5, Batch    600, Loss  0.863594, Average Loss  0.869699, Time  0.444795
2021-09-29 02:06:48.317257 : Epoch  5, Batch    601, Loss  0.870179, Average Loss  0.869660, Time  0.448148
2021-09-29 02:06:54.239630 : Epoch  5, Batch    602, Loss  0.865222, Average Loss  0.869641, Time  0.445938
2021-09-29 02:07:00.160271 : Epoch  5, Batch    603, Loss  0.875410, Average Loss  0.869653, Time  0.448223
2021-09-29 02:07:06.100376 : Epoch  5, Batch    604, Loss  0.846073, Average Loss  0.869520, Time  0.445767
2021-09-29 02:07:12.028782 : Epoch  5, Batch    605, Loss  0.885669, Average Loss  0.869639, Time  0.444803
2021-09-29 02:07:17.951864 : Epoch  5, Batch    606, Loss  0.876159, Average Loss  0.869715, Time  0.459087
2021-09-29 02:07:23.862169 : Epoch  5, Batch    607, Loss  0.870569, Average Loss  0.869613, Time  0.444803
2021-09-29 02:07:29.773307 : Epoch  5, Batch    608, Loss  0.875393, Average Loss  0.869638, Time  0.447999
2021-09-29 02:07:35.687248 : Epoch  5, Batch    609, Loss  0.882206, Average Loss  0.869656, Time  0.446717
2021-09-29 02:07:41.609800 : Epoch  5, Batch    610, Loss  0.861232, Average Loss  0.869668, Time  0.445846
2021-09-29 02:07:47.532340 : Epoch  5, Batch    611, Loss  0.865148, Average Loss  0.869676, Time  0.445213
2021-09-29 02:07:53.444404 : Epoch  5, Batch    612, Loss  0.881074, Average Loss  0.869760, Time  0.446511
2021-09-29 02:07:59.368764 : Epoch  5, Batch    613, Loss  0.875993, Average Loss  0.869767, Time  0.449589
2021-09-29 02:08:05.282120 : Epoch  5, Batch    614, Loss  0.878922, Average Loss  0.869808, Time  0.455027
2021-09-29 02:08:11.199665 : Epoch  5, Batch    615, Loss  0.861071, Average Loss  0.869738, Time  0.446599
2021-09-29 02:08:17.118468 : Epoch  5, Batch    616, Loss  0.857247, Average Loss  0.869613, Time  0.445839
2021-09-29 02:08:23.029792 : Epoch  5, Batch    617, Loss  0.863389, Average Loss  0.869527, Time  0.445646
2021-09-29 02:08:28.943850 : Epoch  5, Batch    618, Loss  0.883723, Average Loss  0.869551, Time  0.446212
2021-09-29 02:08:34.869745 : Epoch  5, Batch    619, Loss  0.883557, Average Loss  0.869677, Time  0.445038
2021-09-29 02:08:40.778027 : Epoch  5, Batch    620, Loss  0.884726, Average Loss  0.869665, Time  0.444511
2021-09-29 02:08:46.688464 : Epoch  5, Batch    621, Loss  0.880318, Average Loss  0.869724, Time  0.446637
2021-09-29 02:08:52.592232 : Epoch  5, Batch    622, Loss  0.858054, Average Loss  0.869730, Time  0.452994
2021-09-29 02:08:58.507675 : Epoch  5, Batch    623, Loss  0.875056, Average Loss  0.869732, Time  0.445319
2021-09-29 02:09:04.437075 : Epoch  5, Batch    624, Loss  0.879269, Average Loss  0.869757, Time  0.448043
2021-09-29 02:09:10.348467 : Epoch  5, Batch    625, Loss  0.867188, Average Loss  0.869809, Time  0.445394
2021-09-29 02:09:16.261599 : Epoch  5, Batch    626, Loss  0.869170, Average Loss  0.869774, Time  0.445768
2021-09-29 02:09:22.181536 : Epoch  5, Batch    627, Loss  0.882938, Average Loss  0.869779, Time  0.446904
2021-09-29 02:09:28.103292 : Epoch  5, Batch    628, Loss  0.853407, Average Loss  0.869634, Time  0.445061
2021-09-29 02:09:34.016950 : Epoch  5, Batch    629, Loss  0.872538, Average Loss  0.869690, Time  0.445168
2021-09-29 02:09:39.938352 : Epoch  5, Batch    630, Loss  0.852193, Average Loss  0.869607, Time  0.464386
2021-09-29 02:09:45.872143 : Epoch  5, Batch    631, Loss  0.881392, Average Loss  0.869650, Time  0.446150
2021-09-29 02:09:51.787767 : Epoch  5, Batch    632, Loss  0.860414, Average Loss  0.869646, Time  0.446776
2021-09-29 02:09:57.712887 : Epoch  5, Batch    633, Loss  0.878666, Average Loss  0.869681, Time  0.448471
2021-09-29 02:10:03.625749 : Epoch  5, Batch    634, Loss  0.864534, Average Loss  0.869642, Time  0.444621
2021-09-29 02:10:09.550077 : Epoch  5, Batch    635, Loss  0.871415, Average Loss  0.869719, Time  0.444934
2021-09-29 02:10:15.477488 : Epoch  5, Batch    636, Loss  0.862900, Average Loss  0.869673, Time  0.451820
2021-09-29 02:10:21.399390 : Epoch  5, Batch    637, Loss  0.882365, Average Loss  0.869731, Time  0.446195
2021-09-29 02:10:27.318161 : Epoch  5, Batch    638, Loss  0.858806, Average Loss  0.869723, Time  0.457058
2021-09-29 02:10:33.224856 : Epoch  5, Batch    639, Loss  0.851791, Average Loss  0.869677, Time  0.446178
2021-09-29 02:10:39.134193 : Epoch  5, Batch    640, Loss  0.860283, Average Loss  0.869655, Time  0.444538
2021-09-29 02:10:45.046355 : Epoch  5, Batch    641, Loss  0.860421, Average Loss  0.869533, Time  0.445845
2021-09-29 02:10:50.955892 : Epoch  5, Batch    642, Loss  0.874478, Average Loss  0.869579, Time  0.445556
2021-09-29 02:10:56.864004 : Epoch  5, Batch    643, Loss  0.859678, Average Loss  0.869558, Time  0.445644
2021-09-29 02:11:02.776252 : Epoch  5, Batch    644, Loss  0.855346, Average Loss  0.869447, Time  0.444634
2021-09-29 02:11:08.682700 : Epoch  5, Batch    645, Loss  0.867887, Average Loss  0.869410, Time  0.446661
2021-09-29 02:11:14.591686 : Epoch  5, Batch    646, Loss  0.876033, Average Loss  0.869454, Time  0.457836
2021-09-29 02:11:20.500098 : Epoch  5, Batch    647, Loss  0.868905, Average Loss  0.869455, Time  0.449594
2021-09-29 02:11:26.400756 : Epoch  5, Batch    648, Loss  0.883913, Average Loss  0.869523, Time  0.444968
2021-09-29 02:11:32.309097 : Epoch  5, Batch    649, Loss  0.871139, Average Loss  0.869468, Time  0.446132
2021-09-29 02:11:38.221845 : Epoch  5, Batch    650, Loss  0.860728, Average Loss  0.869487, Time  0.445843
2021-09-29 02:11:44.139474 : Epoch  5, Batch    651, Loss  0.876278, Average Loss  0.869591, Time  0.445951
2021-09-29 02:11:50.073943 : Epoch  5, Batch    652, Loss  0.854347, Average Loss  0.869567, Time  0.450866
2021-09-29 02:11:55.985826 : Epoch  5, Batch    653, Loss  0.867174, Average Loss  0.869484, Time  0.447435
2021-09-29 02:12:01.906196 : Epoch  5, Batch    654, Loss  0.874121, Average Loss  0.869556, Time  0.456883
2021-09-29 02:12:07.818638 : Epoch  5, Batch    655, Loss  0.885022, Average Loss  0.869624, Time  0.445266
2021-09-29 02:12:13.724571 : Epoch  5, Batch    656, Loss  0.856156, Average Loss  0.869586, Time  0.446189
2021-09-29 02:12:19.653928 : Epoch  5, Batch    657, Loss  0.868643, Average Loss  0.869529, Time  0.449678
2021-09-29 02:12:25.563625 : Epoch  5, Batch    658, Loss  0.891024, Average Loss  0.869690, Time  0.445572
2021-09-29 02:12:31.468438 : Epoch  5, Batch    659, Loss  0.874076, Average Loss  0.869723, Time  0.446080
2021-09-29 02:12:37.388267 : Epoch  5, Batch    660, Loss  0.879592, Average Loss  0.869803, Time  0.444557
2021-09-29 02:12:43.302908 : Epoch  5, Batch    661, Loss  0.864705, Average Loss  0.869790, Time  0.447353
2021-09-29 02:12:49.216695 : Epoch  5, Batch    662, Loss  0.874356, Average Loss  0.869812, Time  0.454705
2021-09-29 02:12:55.132829 : Epoch  5, Batch    663, Loss  0.864282, Average Loss  0.869795, Time  0.448987
2021-09-29 02:13:01.050580 : Epoch  5, Batch    664, Loss  0.870764, Average Loss  0.869828, Time  0.445353
2021-09-29 02:13:07.013157 : Epoch  5, Batch    665, Loss  0.878272, Average Loss  0.869927, Time  0.446222
2021-09-29 02:13:12.928973 : Epoch  5, Batch    666, Loss  0.859479, Average Loss  0.869890, Time  0.447440
2021-09-29 02:13:18.852436 : Epoch  5, Batch    667, Loss  0.876931, Average Loss  0.869830, Time  0.446346
2021-09-29 02:13:24.763876 : Epoch  5, Batch    668, Loss  0.869039, Average Loss  0.869809, Time  0.444218
2021-09-29 02:13:30.657998 : Epoch  5, Batch    669, Loss  0.867382, Average Loss  0.869851, Time  0.444978
2021-09-29 02:13:36.601616 : Epoch  5, Batch    670, Loss  0.870130, Average Loss  0.869829, Time  0.460554
2021-09-29 02:13:42.527034 : Epoch  5, Batch    671, Loss  0.863576, Average Loss  0.869824, Time  0.450177
2021-09-29 02:13:48.439422 : Epoch  5, Batch    672, Loss  0.870518, Average Loss  0.869830, Time  0.449513
2021-09-29 02:13:54.333797 : Epoch  5, Batch    673, Loss  0.858824, Average Loss  0.869781, Time  0.445617
2021-09-29 02:14:00.232213 : Epoch  5, Batch    674, Loss  0.850587, Average Loss  0.869709, Time  0.446438
2021-09-29 02:14:06.145771 : Epoch  5, Batch    675, Loss  0.866125, Average Loss  0.869686, Time  0.446758
2021-09-29 02:14:12.062150 : Epoch  5, Batch    676, Loss  0.872661, Average Loss  0.869658, Time  0.445206
2021-09-29 02:14:17.976799 : Epoch  5, Batch    677, Loss  0.882454, Average Loss  0.869653, Time  0.448822
2021-09-29 02:14:23.904959 : Epoch  5, Batch    678, Loss  0.861314, Average Loss  0.869647, Time  0.458709
2021-09-29 02:14:29.827113 : Epoch  5, Batch    679, Loss  0.865663, Average Loss  0.869610, Time  0.445823
2021-09-29 02:14:35.743867 : Epoch  5, Batch    680, Loss  0.875999, Average Loss  0.869649, Time  0.453068
2021-09-29 02:14:41.657120 : Epoch  5, Batch    681, Loss  0.866288, Average Loss  0.869645, Time  0.448612
2021-09-29 02:14:47.567606 : Epoch  5, Batch    682, Loss  0.871391, Average Loss  0.869678, Time  0.448303
2021-09-29 02:14:53.486507 : Epoch  5, Batch    683, Loss  0.865999, Average Loss  0.869682, Time  0.445159
2021-09-29 02:14:59.401128 : Epoch  5, Batch    684, Loss  0.864913, Average Loss  0.869673, Time  0.447706
2021-09-29 02:15:05.337602 : Epoch  5, Batch    685, Loss  0.866992, Average Loss  0.869667, Time  0.447359
2021-09-29 02:15:11.272936 : Epoch  5, Batch    686, Loss  0.866542, Average Loss  0.869728, Time  0.454897
2021-09-29 02:15:17.186797 : Epoch  5, Batch    687, Loss  0.866186, Average Loss  0.869712, Time  0.444686
2021-09-29 02:15:23.100908 : Epoch  5, Batch    688, Loss  0.870564, Average Loss  0.869641, Time  0.445778
2021-09-29 02:20:00.169774 : CheckPoint: Validation Loss  0.00015259, Best Loss  0.00014870
2021-09-29 02:20:06.069898 : Epoch  5, Batch    689, Loss  0.869303, Average Loss  0.869630, Time  0.444624
2021-09-29 02:20:12.002043 : Epoch  5, Batch    690, Loss  0.867516, Average Loss  0.869654, Time  0.446689
2021-09-29 02:20:17.944780 : Epoch  5, Batch    691, Loss  0.882071, Average Loss  0.869633, Time  0.445705
2021-09-29 02:20:23.888296 : Epoch  5, Batch    692, Loss  0.865379, Average Loss  0.869667, Time  0.445803
2021-09-29 02:20:29.833232 : Epoch  5, Batch    693, Loss  0.873690, Average Loss  0.869604, Time  0.452121
2021-09-29 02:20:35.754216 : Epoch  5, Batch    694, Loss  0.879193, Average Loss  0.869685, Time  0.447185
2021-09-29 02:20:41.700756 : Epoch  5, Batch    695, Loss  0.860630, Average Loss  0.869683, Time  0.444954
2021-09-29 02:20:47.610413 : Epoch  5, Batch    696, Loss  0.868795, Average Loss  0.869700, Time  0.448301
2021-09-29 02:20:53.546402 : Epoch  5, Batch    697, Loss  0.868594, Average Loss  0.869695, Time  0.446976
2021-09-29 02:20:59.467848 : Epoch  5, Batch    698, Loss  0.866881, Average Loss  0.869686, Time  0.449477
2021-09-29 02:21:05.404762 : Epoch  5, Batch    699, Loss  0.875130, Average Loss  0.869744, Time  0.445906
2021-09-29 02:21:11.339792 : Epoch  5, Batch    700, Loss  0.882516, Average Loss  0.869849, Time  0.445509
2021-09-29 02:21:17.250306 : Epoch  5, Batch    701, Loss  0.868277, Average Loss  0.869842, Time  0.457035
2021-09-29 02:21:23.170833 : Epoch  5, Batch    702, Loss  0.895462, Average Loss  0.869944, Time  0.445486
2021-09-29 02:21:29.065123 : Epoch  5, Batch    703, Loss  0.883837, Average Loss  0.869991, Time  0.446144
2021-09-29 02:21:35.007749 : Epoch  5, Batch    704, Loss  0.865461, Average Loss  0.869997, Time  0.446335
2021-09-29 02:21:40.939451 : Epoch  5, Batch    705, Loss  0.874457, Average Loss  0.870001, Time  0.449078
2021-09-29 02:21:46.873806 : Epoch  5, Batch    706, Loss  0.867357, Average Loss  0.869925, Time  0.448652
2021-09-29 02:21:52.813779 : Epoch  5, Batch    707, Loss  0.866122, Average Loss  0.869887, Time  0.448326
2021-09-29 02:21:58.730776 : Epoch  5, Batch    708, Loss  0.869779, Average Loss  0.869942, Time  0.446330
2021-09-29 02:22:04.686060 : Epoch  5, Batch    709, Loss  0.866303, Average Loss  0.869966, Time  0.458286
2021-09-29 02:22:10.624822 : Epoch  5, Batch    710, Loss  0.865405, Average Loss  0.869884, Time  0.444490
2021-09-29 02:22:16.556668 : Epoch  5, Batch    711, Loss  0.870742, Average Loss  0.869870, Time  0.444424
2021-09-29 02:22:22.484564 : Epoch  5, Batch    712, Loss  0.870403, Average Loss  0.869869, Time  0.447217
2021-09-29 02:22:28.418014 : Epoch  5, Batch    713, Loss  0.885783, Average Loss  0.869952, Time  0.447535
2021-09-29 02:22:34.344555 : Epoch  5, Batch    714, Loss  0.870378, Average Loss  0.869911, Time  0.449654
2021-09-29 02:22:40.282626 : Epoch  5, Batch    715, Loss  0.869206, Average Loss  0.869872, Time  0.449804
2021-09-29 02:22:46.210524 : Epoch  5, Batch    716, Loss  0.878188, Average Loss  0.869889, Time  0.445377
2021-09-29 02:22:52.159880 : Epoch  5, Batch    717, Loss  0.876856, Average Loss  0.869890, Time  0.456781
2021-09-29 02:22:58.094411 : Epoch  5, Batch    718, Loss  0.880094, Average Loss  0.869865, Time  0.445163
2021-09-29 02:23:04.033927 : Epoch  5, Batch    719, Loss  0.857487, Average Loss  0.869827, Time  0.448764
2021-09-29 02:23:09.958710 : Epoch  5, Batch    720, Loss  0.870566, Average Loss  0.869822, Time  0.447025
2021-09-29 02:23:15.880511 : Epoch  5, Batch    721, Loss  0.869481, Average Loss  0.869852, Time  0.445056
2021-09-29 02:23:21.826722 : Epoch  5, Batch    722, Loss  0.873116, Average Loss  0.869817, Time  0.446136
2021-09-29 02:23:27.778440 : Epoch  5, Batch    723, Loss  0.863132, Average Loss  0.869784, Time  0.446588
2021-09-29 02:23:33.715262 : Epoch  5, Batch    724, Loss  0.864356, Average Loss  0.869667, Time  0.449070
2021-09-29 02:23:39.665443 : Epoch  5, Batch    725, Loss  0.872014, Average Loss  0.869710, Time  0.454782
2021-09-29 02:23:45.607785 : Epoch  5, Batch    726, Loss  0.856295, Average Loss  0.869555, Time  0.445369
2021-09-29 02:23:51.530402 : Epoch  5, Batch    727, Loss  0.864495, Average Loss  0.869539, Time  0.445335
2021-09-29 02:23:57.458321 : Epoch  5, Batch    728, Loss  0.867123, Average Loss  0.869549, Time  0.445034
2021-09-29 02:24:03.393617 : Epoch  5, Batch    729, Loss  0.867760, Average Loss  0.869569, Time  0.445370
2021-09-29 02:24:09.312871 : Epoch  5, Batch    730, Loss  0.856679, Average Loss  0.869491, Time  0.447839
2021-09-29 02:24:15.233712 : Epoch  5, Batch    731, Loss  0.865811, Average Loss  0.869476, Time  0.446006
2021-09-29 02:24:21.169640 : Epoch  5, Batch    732, Loss  0.856155, Average Loss  0.869520, Time  0.444643
2021-09-29 02:24:27.117080 : Epoch  5, Batch    733, Loss  0.877860, Average Loss  0.869572, Time  0.458015
2021-09-29 02:24:33.047667 : Epoch  5, Batch    734, Loss  0.860350, Average Loss  0.869506, Time  0.445140
2021-09-29 02:24:38.996520 : Epoch  5, Batch    735, Loss  0.866012, Average Loss  0.869458, Time  0.448714
2021-09-29 02:24:44.942023 : Epoch  5, Batch    736, Loss  0.881968, Average Loss  0.869541, Time  0.449613
2021-09-29 02:24:50.870782 : Epoch  5, Batch    737, Loss  0.865362, Average Loss  0.869509, Time  0.444280
2021-09-29 02:24:56.797899 : Epoch  5, Batch    738, Loss  0.867444, Average Loss  0.869514, Time  0.446554
2021-09-29 02:25:02.721873 : Epoch  5, Batch    739, Loss  0.865868, Average Loss  0.869471, Time  0.444479
2021-09-29 02:25:08.652857 : Epoch  5, Batch    740, Loss  0.857923, Average Loss  0.869402, Time  0.449542
2021-09-29 02:25:14.589678 : Epoch  5, Batch    741, Loss  0.861190, Average Loss  0.869354, Time  0.455765
2021-09-29 02:25:20.531967 : Epoch  5, Batch    742, Loss  0.876009, Average Loss  0.869388, Time  0.445167
2021-09-29 02:25:26.468208 : Epoch  5, Batch    743, Loss  0.877658, Average Loss  0.869426, Time  0.445483
2021-09-29 02:25:32.407246 : Epoch  5, Batch    744, Loss  0.863285, Average Loss  0.869375, Time  0.446336
2021-09-29 02:25:38.333211 : Epoch  5, Batch    745, Loss  0.878797, Average Loss  0.869476, Time  0.444873
2021-09-29 02:25:44.283990 : Epoch  5, Batch    746, Loss  0.857691, Average Loss  0.869486, Time  0.446453
2021-09-29 02:25:50.219627 : Epoch  5, Batch    747, Loss  0.877597, Average Loss  0.869437, Time  0.447827
2021-09-29 02:25:56.156114 : Epoch  5, Batch    748, Loss  0.888442, Average Loss  0.869529, Time  0.446158
2021-09-29 02:26:02.123801 : Epoch  5, Batch    749, Loss  0.861869, Average Loss  0.869511, Time  0.463871
2021-09-29 02:26:08.076102 : Epoch  5, Batch    750, Loss  0.863595, Average Loss  0.869515, Time  0.453738
2021-09-29 02:26:14.017790 : Epoch  5, Batch    751, Loss  0.862916, Average Loss  0.869495, Time  0.450231
2021-09-29 02:26:19.950405 : Epoch  5, Batch    752, Loss  0.885534, Average Loss  0.869567, Time  0.447083
2021-09-29 02:26:25.898757 : Epoch  5, Batch    753, Loss  0.869621, Average Loss  0.869513, Time  0.453832
2021-09-29 02:26:31.852874 : Epoch  5, Batch    754, Loss  0.854026, Average Loss  0.869447, Time  0.446004
2021-09-29 02:26:37.800871 : Epoch  5, Batch    755, Loss  0.863665, Average Loss  0.869450, Time  0.449761
2021-09-29 02:26:43.739994 : Epoch  5, Batch    756, Loss  0.872719, Average Loss  0.869470, Time  0.445797
2021-09-29 02:26:49.681799 : Epoch  5, Batch    757, Loss  0.865799, Average Loss  0.869421, Time  0.454906
2021-09-29 02:26:55.617423 : Epoch  5, Batch    758, Loss  0.863163, Average Loss  0.869402, Time  0.444541
2021-09-29 02:27:01.531927 : Epoch  5, Batch    759, Loss  0.875494, Average Loss  0.869342, Time  0.448233
2021-09-29 02:27:07.454978 : Epoch  5, Batch    760, Loss  0.866564, Average Loss  0.869312, Time  0.445403
2021-09-29 02:27:13.366781 : Epoch  5, Batch    761, Loss  0.855208, Average Loss  0.869230, Time  0.444813
2021-09-29 02:27:19.289780 : Epoch  5, Batch    762, Loss  0.862278, Average Loss  0.869195, Time  0.446541
2021-09-29 02:27:25.234648 : Epoch  5, Batch    763, Loss  0.867327, Average Loss  0.869134, Time  0.448364
2021-09-29 02:27:31.160395 : Epoch  5, Batch    764, Loss  0.874119, Average Loss  0.869169, Time  0.445751
2021-09-29 02:27:37.111555 : Epoch  5, Batch    765, Loss  0.872795, Average Loss  0.869223, Time  0.460011
2021-09-29 02:27:43.058866 : Epoch  5, Batch    766, Loss  0.879972, Average Loss  0.869323, Time  0.447647
2021-09-29 02:27:49.002697 : Epoch  5, Batch    767, Loss  0.876364, Average Loss  0.869376, Time  0.445416
2021-09-29 02:27:54.939509 : Epoch  5, Batch    768, Loss  0.885268, Average Loss  0.869482, Time  0.446676
2021-09-29 02:28:00.866474 : Epoch  5, Batch    769, Loss  0.857747, Average Loss  0.869446, Time  0.448692
2021-09-29 02:28:06.801774 : Epoch  5, Batch    770, Loss  0.874076, Average Loss  0.869498, Time  0.451784
2021-09-29 02:28:12.739208 : Epoch  5, Batch    771, Loss  0.879649, Average Loss  0.869505, Time  0.444236
2021-09-29 02:28:18.675848 : Epoch  5, Batch    772, Loss  0.891163, Average Loss  0.869629, Time  0.450862
2021-09-29 02:28:24.613860 : Epoch  5, Batch    773, Loss  0.865400, Average Loss  0.869616, Time  0.457290
2021-09-29 02:28:30.543158 : Epoch  5, Batch    774, Loss  0.874492, Average Loss  0.869650, Time  0.444359
2021-09-29 02:28:36.466307 : Epoch  5, Batch    775, Loss  0.871501, Average Loss  0.869650, Time  0.445095
2021-09-29 02:28:42.397786 : Epoch  5, Batch    776, Loss  0.866080, Average Loss  0.869603, Time  0.445117
2021-09-29 02:28:48.336597 : Epoch  5, Batch    777, Loss  0.862479, Average Loss  0.869649, Time  0.445158
2021-09-29 02:28:54.259206 : Epoch  5, Batch    778, Loss  0.876135, Average Loss  0.869665, Time  0.444908
2021-09-29 02:29:00.184744 : Epoch  5, Batch    779, Loss  0.863389, Average Loss  0.869652, Time  0.444156
2021-09-29 02:29:06.116343 : Epoch  5, Batch    780, Loss  0.866596, Average Loss  0.869629, Time  0.446413
2021-09-29 02:29:12.094163 : Epoch  5, Batch    781, Loss  0.857762, Average Loss  0.869521, Time  0.452168
2021-09-29 02:29:18.022219 : Epoch  5, Batch    782, Loss  0.850721, Average Loss  0.869438, Time  0.445241
2021-09-29 02:29:23.964155 : Epoch  5, Batch    783, Loss  0.879041, Average Loss  0.869433, Time  0.448371
2021-09-29 02:29:29.851498 : Epoch  5, Batch    784, Loss  0.868480, Average Loss  0.869420, Time  0.448772
2021-09-29 02:29:35.801781 : Epoch  5, Batch    785, Loss  0.874403, Average Loss  0.869439, Time  0.446502
2021-09-29 02:29:41.719874 : Epoch  5, Batch    786, Loss  0.870571, Average Loss  0.869472, Time  0.444885
2021-09-29 02:29:47.619452 : Epoch  5, Batch    787, Loss  0.872135, Average Loss  0.869460, Time  0.446801
2021-09-29 02:29:53.555510 : Epoch  5, Batch    788, Loss  0.869817, Average Loss  0.869423, Time  0.446843
2021-09-29 02:34:31.572513 : CheckPoint: Validation Loss  0.00015275, Best Loss  0.00014870
2021-09-29 02:34:37.511897 : Epoch  5, Batch    789, Loss  0.862197, Average Loss  0.869386, Time  0.445957
2021-09-29 02:34:43.448139 : Epoch  5, Batch    790, Loss  0.866993, Average Loss  0.869372, Time  0.446454
2021-09-29 02:34:49.384289 : Epoch  5, Batch    791, Loss  0.860188, Average Loss  0.869353, Time  0.450884
2021-09-29 02:34:55.335912 : Epoch  5, Batch    792, Loss  0.847750, Average Loss  0.869261, Time  0.445812
2021-09-29 02:35:01.268766 : Epoch  5, Batch    793, Loss  0.862965, Average Loss  0.869279, Time  0.445188
2021-09-29 02:35:07.184458 : Epoch  5, Batch    794, Loss  0.880019, Average Loss  0.869294, Time  0.445763
2021-09-29 02:35:13.111866 : Epoch  5, Batch    795, Loss  0.873356, Average Loss  0.869294, Time  0.445215
2021-09-29 02:35:19.052891 : Epoch  5, Batch    796, Loss  0.857056, Average Loss  0.869314, Time  0.455109
2021-09-29 02:35:24.993332 : Epoch  5, Batch    797, Loss  0.862245, Average Loss  0.869267, Time  0.446406
2021-09-29 02:35:30.950008 : Epoch  5, Batch    798, Loss  0.878183, Average Loss  0.869404, Time  0.445844
2021-09-29 02:35:36.874648 : Epoch  5, Batch    799, Loss  0.859673, Average Loss  0.869342, Time  0.444634
2021-09-29 02:35:42.822575 : Epoch  5, Batch    800, Loss  0.874003, Average Loss  0.869394, Time  0.444551
2021-09-29 02:35:48.772107 : Epoch  5, Batch    801, Loss  0.870385, Average Loss  0.869395, Time  0.445452
2021-09-29 02:35:54.690057 : Epoch  5, Batch    802, Loss  0.867994, Average Loss  0.869409, Time  0.445797
2021-09-29 02:36:00.655418 : Epoch  5, Batch    803, Loss  0.852187, Average Loss  0.869293, Time  0.444797
2021-09-29 02:36:06.619774 : Epoch  5, Batch    804, Loss  0.870779, Average Loss  0.869417, Time  0.462390
2021-09-29 02:36:12.565811 : Epoch  5, Batch    805, Loss  0.877706, Average Loss  0.869377, Time  0.445899
2021-09-29 02:36:18.484374 : Epoch  5, Batch    806, Loss  0.875947, Average Loss  0.869376, Time  0.445706
2021-09-29 02:36:24.418841 : Epoch  5, Batch    807, Loss  0.871971, Average Loss  0.869383, Time  0.447649
2021-09-29 02:36:30.361999 : Epoch  5, Batch    808, Loss  0.859380, Average Loss  0.869303, Time  0.447975
2021-09-29 02:36:36.294719 : Epoch  5, Batch    809, Loss  0.878874, Average Loss  0.869286, Time  0.445409
2021-09-29 02:36:42.232367 : Epoch  5, Batch    810, Loss  0.850846, Average Loss  0.869234, Time  0.446912
2021-09-29 02:36:48.175893 : Epoch  5, Batch    811, Loss  0.860266, Average Loss  0.869210, Time  0.445018
2021-09-29 02:36:54.123837 : Epoch  5, Batch    812, Loss  0.869586, Average Loss  0.869152, Time  0.458672
2021-09-29 02:37:00.061889 : Epoch  5, Batch    813, Loss  0.871732, Average Loss  0.869131, Time  0.444988
2021-09-29 02:37:06.000832 : Epoch  5, Batch    814, Loss  0.883233, Average Loss  0.869152, Time  0.445080
2021-09-29 02:37:11.941988 : Epoch  5, Batch    815, Loss  0.881818, Average Loss  0.869256, Time  0.445659
2021-09-29 02:37:17.866646 : Epoch  5, Batch    816, Loss  0.877289, Average Loss  0.869356, Time  0.446623
2021-09-29 02:37:23.823298 : Epoch  5, Batch    817, Loss  0.865582, Average Loss  0.869367, Time  0.456777
2021-09-29 02:37:29.756116 : Epoch  5, Batch    818, Loss  0.857502, Average Loss  0.869236, Time  0.451362
2021-09-29 02:37:35.709335 : Epoch  5, Batch    819, Loss  0.877104, Average Loss  0.869204, Time  0.445660
2021-09-29 02:37:41.673014 : Epoch  5, Batch    820, Loss  0.864956, Average Loss  0.869105, Time  0.460140
2021-09-29 02:37:47.620972 : Epoch  5, Batch    821, Loss  0.865443, Average Loss  0.869031, Time  0.449108
2021-09-29 02:37:53.539184 : Epoch  5, Batch    822, Loss  0.866443, Average Loss  0.869073, Time  0.445062
2021-09-29 02:37:59.494302 : Epoch  5, Batch    823, Loss  0.872610, Average Loss  0.869060, Time  0.446921
2021-09-29 02:38:05.437388 : Epoch  5, Batch    824, Loss  0.883993, Average Loss  0.869084, Time  0.447711
2021-09-29 02:38:11.381027 : Epoch  5, Batch    825, Loss  0.863240, Average Loss  0.869064, Time  0.446126
2021-09-29 02:38:17.321675 : Epoch  5, Batch    826, Loss  0.880882, Average Loss  0.869123, Time  0.446395
2021-09-29 02:38:23.252209 : Epoch  5, Batch    827, Loss  0.885237, Average Loss  0.869134, Time  0.449888
2021-09-29 02:38:29.211126 : Epoch  5, Batch    828, Loss  0.869209, Average Loss  0.869213, Time  0.455941
2021-09-29 02:38:35.152808 : Epoch  5, Batch    829, Loss  0.886239, Average Loss  0.869282, Time  0.444263
2021-09-29 02:38:41.086701 : Epoch  5, Batch    830, Loss  0.873504, Average Loss  0.869388, Time  0.446673
2021-09-29 02:38:47.035131 : Epoch  5, Batch    831, Loss  0.875286, Average Loss  0.869358, Time  0.445066
2021-09-29 02:38:52.967140 : Epoch  5, Batch    832, Loss  0.866242, Average Loss  0.869387, Time  0.449446
2021-09-29 02:38:58.890911 : Epoch  5, Batch    833, Loss  0.869358, Average Loss  0.869341, Time  0.445496
2021-09-29 02:39:04.835225 : Epoch  5, Batch    834, Loss  0.870156, Average Loss  0.869369, Time  0.447518
2021-09-29 02:39:10.788557 : Epoch  5, Batch    835, Loss  0.862472, Average Loss  0.869324, Time  0.445224
2021-09-29 02:39:16.752842 : Epoch  5, Batch    836, Loss  0.866391, Average Loss  0.869341, Time  0.460734
2021-09-29 02:39:22.672893 : Epoch  5, Batch    837, Loss  0.862300, Average Loss  0.869241, Time  0.446871
2021-09-29 02:39:28.607580 : Epoch  5, Batch    838, Loss  0.872071, Average Loss  0.869307, Time  0.446752
2021-09-29 02:39:34.532246 : Epoch  5, Batch    839, Loss  0.866338, Average Loss  0.869380, Time  0.450774
2021-09-29 02:39:40.487547 : Epoch  5, Batch    840, Loss  0.865404, Average Loss  0.869406, Time  0.445358
2021-09-29 02:39:46.417408 : Epoch  5, Batch    841, Loss  0.856639, Average Loss  0.869387, Time  0.447007
2021-09-29 02:39:52.350272 : Epoch  5, Batch    842, Loss  0.869431, Average Loss  0.869362, Time  0.444611
2021-09-29 02:39:58.267782 : Epoch  5, Batch    843, Loss  0.870199, Average Loss  0.869414, Time  0.444437
2021-09-29 02:40:04.224550 : Epoch  5, Batch    844, Loss  0.861305, Average Loss  0.869444, Time  0.459611
2021-09-29 02:40:10.158668 : Epoch  5, Batch    845, Loss  0.869279, Average Loss  0.869451, Time  0.450632
2021-09-29 02:40:16.056516 : Epoch  5, Batch    846, Loss  0.866767, Average Loss  0.869405, Time  0.444521
2021-09-29 02:40:21.990849 : Epoch  5, Batch    847, Loss  0.861559, Average Loss  0.869368, Time  0.451956
2021-09-29 02:40:27.914502 : Epoch  5, Batch    848, Loss  0.874272, Average Loss  0.869320, Time  0.445738
2021-09-29 02:40:33.848846 : Epoch  5, Batch    849, Loss  0.864486, Average Loss  0.869286, Time  0.444221
2021-09-29 02:40:39.795384 : Epoch  5, Batch    850, Loss  0.876050, Average Loss  0.869363, Time  0.448552
2021-09-29 02:40:45.736302 : Epoch  5, Batch    851, Loss  0.867871, Average Loss  0.869321, Time  0.447251
2021-09-29 02:40:51.675289 : Epoch  5, Batch    852, Loss  0.881833, Average Loss  0.869458, Time  0.462589
2021-09-29 02:40:57.627830 : Epoch  5, Batch    853, Loss  0.864760, Average Loss  0.869446, Time  0.450542
2021-09-29 02:41:03.559769 : Epoch  5, Batch    854, Loss  0.877056, Average Loss  0.869461, Time  0.445407
2021-09-29 02:41:09.489750 : Epoch  5, Batch    855, Loss  0.884485, Average Loss  0.869458, Time  0.445095
2021-09-29 02:41:15.421937 : Epoch  5, Batch    856, Loss  0.870435, Average Loss  0.869530, Time  0.446874
2021-09-29 02:41:21.366423 : Epoch  5, Batch    857, Loss  0.866671, Average Loss  0.869520, Time  0.445265
2021-09-29 02:41:27.319392 : Epoch  5, Batch    858, Loss  0.856860, Average Loss  0.869349, Time  0.445546
2021-09-29 02:41:33.230824 : Epoch  5, Batch    859, Loss  0.847396, Average Loss  0.869216, Time  0.444521
2021-09-29 02:41:39.183137 : Epoch  5, Batch    860, Loss  0.876157, Average Loss  0.869198, Time  0.458597
2021-09-29 02:41:45.095892 : Epoch  5, Batch    861, Loss  0.865201, Average Loss  0.869201, Time  0.445143
2021-09-29 02:41:51.032787 : Epoch  5, Batch    862, Loss  0.864614, Average Loss  0.869152, Time  0.447930
2021-09-29 02:41:56.931181 : Epoch  5, Batch    863, Loss  0.868781, Average Loss  0.869175, Time  0.446669
2021-09-29 02:42:02.852128 : Epoch  5, Batch    864, Loss  0.879933, Average Loss  0.869221, Time  0.445303
2021-09-29 02:42:08.797776 : Epoch  5, Batch    865, Loss  0.878214, Average Loss  0.869220, Time  0.447060
2021-09-29 02:42:14.720754 : Epoch  5, Batch    866, Loss  0.878257, Average Loss  0.869314, Time  0.449940
2021-09-29 02:42:20.650753 : Epoch  5, Batch    867, Loss  0.879068, Average Loss  0.869325, Time  0.447306
2021-09-29 02:42:26.601645 : Epoch  5, Batch    868, Loss  0.866357, Average Loss  0.869311, Time  0.460694
2021-09-29 02:42:32.522730 : Epoch  5, Batch    869, Loss  0.884264, Average Loss  0.869396, Time  0.447520
2021-09-29 02:42:38.448674 : Epoch  5, Batch    870, Loss  0.878652, Average Loss  0.869438, Time  0.446249
2021-09-29 02:42:44.375936 : Epoch  5, Batch    871, Loss  0.868863, Average Loss  0.869465, Time  0.446895
2021-09-29 02:42:50.314949 : Epoch  5, Batch    872, Loss  0.875159, Average Loss  0.869488, Time  0.449172
2021-09-29 02:42:56.244287 : Epoch  5, Batch    873, Loss  0.862023, Average Loss  0.869504, Time  0.445955
2021-09-29 02:43:02.173887 : Epoch  5, Batch    874, Loss  0.862603, Average Loss  0.869564, Time  0.448990
2021-09-29 02:43:08.110765 : Epoch  5, Batch    875, Loss  0.876923, Average Loss  0.869618, Time  0.448994
2021-09-29 02:43:14.069575 : Epoch  5, Batch    876, Loss  0.860747, Average Loss  0.869559, Time  0.461538
2021-09-29 02:43:20.003357 : Epoch  5, Batch    877, Loss  0.881132, Average Loss  0.869552, Time  0.444549
2021-09-29 02:43:25.934117 : Epoch  5, Batch    878, Loss  0.894663, Average Loss  0.869719, Time  0.448678
2021-09-29 02:43:31.884898 : Epoch  5, Batch    879, Loss  0.856561, Average Loss  0.869673, Time  0.447227
2021-09-29 02:43:37.824089 : Epoch  5, Batch    880, Loss  0.877736, Average Loss  0.869682, Time  0.445447
2021-09-29 02:43:43.746131 : Epoch  5, Batch    881, Loss  0.866200, Average Loss  0.869682, Time  0.444562
2021-09-29 02:43:49.673768 : Epoch  5, Batch    882, Loss  0.864315, Average Loss  0.869646, Time  0.448193
2021-09-29 02:43:55.593954 : Epoch  5, Batch    883, Loss  0.866047, Average Loss  0.869646, Time  0.446666
2021-09-29 02:44:01.549162 : Epoch  5, Batch    884, Loss  0.874907, Average Loss  0.869696, Time  0.459369
2021-09-29 02:44:07.502702 : Epoch  5, Batch    885, Loss  0.866673, Average Loss  0.869695, Time  0.448226
2021-09-29 02:44:13.451086 : Epoch  5, Batch    886, Loss  0.870914, Average Loss  0.869717, Time  0.450481
2021-09-29 02:44:19.387011 : Epoch  5, Batch    887, Loss  0.861192, Average Loss  0.869692, Time  0.449721
2021-09-29 02:44:25.326832 : Epoch  5, Batch    888, Loss  0.851043, Average Loss  0.869594, Time  0.447427
2021-09-29 02:49:02.531187 : CheckPoint: Validation Loss  0.00014997, Best Loss  0.00014870
2021-09-29 02:49:08.424795 : Epoch  5, Batch    889, Loss  0.868562, Average Loss  0.869590, Time  0.449499
2021-09-29 02:49:14.346679 : Epoch  5, Batch    890, Loss  0.869269, Average Loss  0.869599, Time  0.447131
2021-09-29 02:49:20.273347 : Epoch  5, Batch    891, Loss  0.891819, Average Loss  0.869648, Time  0.445308
2021-09-29 02:49:26.203000 : Epoch  5, Batch    892, Loss  0.871217, Average Loss  0.869677, Time  0.451427
2021-09-29 02:49:32.143742 : Epoch  5, Batch    893, Loss  0.867624, Average Loss  0.869647, Time  0.445938
2021-09-29 02:49:38.070946 : Epoch  5, Batch    894, Loss  0.878583, Average Loss  0.869644, Time  0.446308
2021-09-29 02:49:43.991645 : Epoch  5, Batch    895, Loss  0.858439, Average Loss  0.869633, Time  0.444795
2021-09-29 02:49:49.932871 : Epoch  5, Batch    896, Loss  0.873678, Average Loss  0.869657, Time  0.445914
2021-09-29 02:49:55.876815 : Epoch  5, Batch    897, Loss  0.865239, Average Loss  0.869640, Time  0.446996
2021-09-29 02:50:01.829978 : Epoch  5, Batch    898, Loss  0.866679, Average Loss  0.869639, Time  0.448115
2021-09-29 02:50:07.791718 : Epoch  5, Batch    899, Loss  0.862204, Average Loss  0.869575, Time  0.446375
2021-09-29 02:50:13.739379 : Epoch  5, Batch    900, Loss  0.872226, Average Loss  0.869523, Time  0.459117
2021-09-29 02:50:19.693520 : Epoch  5, Batch    901, Loss  0.875917, Average Loss  0.869561, Time  0.447689
2021-09-29 02:50:25.624386 : Epoch  5, Batch    902, Loss  0.863409, Average Loss  0.869401, Time  0.445769
2021-09-29 02:50:31.561566 : Epoch  5, Batch    903, Loss  0.863670, Average Loss  0.869300, Time  0.446572
2021-09-29 02:50:37.495224 : Epoch  5, Batch    904, Loss  0.875727, Average Loss  0.869352, Time  0.448428
2021-09-29 02:50:43.457555 : Epoch  5, Batch    905, Loss  0.883545, Average Loss  0.869397, Time  0.446285
2021-09-29 02:50:49.422237 : Epoch  5, Batch    906, Loss  0.869469, Average Loss  0.869408, Time  0.445928
2021-09-29 02:50:55.357509 : Epoch  5, Batch    907, Loss  0.862210, Average Loss  0.869388, Time  0.446370
2021-09-29 02:51:01.318579 : Epoch  5, Batch    908, Loss  0.870648, Average Loss  0.869392, Time  0.462639
2021-09-29 02:51:07.259952 : Epoch  5, Batch    909, Loss  0.870599, Average Loss  0.869414, Time  0.445782
2021-09-29 02:51:13.211768 : Epoch  5, Batch    910, Loss  0.870477, Average Loss  0.869439, Time  0.444688
2021-09-29 02:51:19.161937 : Epoch  5, Batch    911, Loss  0.869931, Average Loss  0.869435, Time  0.445014
2021-09-29 02:51:25.101219 : Epoch  5, Batch    912, Loss  0.872348, Average Loss  0.869445, Time  0.445030
2021-09-29 02:51:31.043156 : Epoch  5, Batch    913, Loss  0.875339, Average Loss  0.869393, Time  0.446424
2021-09-29 02:51:36.967770 : Epoch  5, Batch    914, Loss  0.887867, Average Loss  0.869480, Time  0.446194
2021-09-29 02:51:42.935158 : Epoch  5, Batch    915, Loss  0.871114, Average Loss  0.869490, Time  0.461738
2021-09-29 02:51:48.887791 : Epoch  5, Batch    916, Loss  0.883389, Average Loss  0.869516, Time  0.447321
2021-09-29 02:51:54.833287 : Epoch  5, Batch    917, Loss  0.845731, Average Loss  0.869360, Time  0.447473
2021-09-29 02:52:00.760008 : Epoch  5, Batch    918, Loss  0.870887, Average Loss  0.869314, Time  0.446189
2021-09-29 02:52:06.691539 : Epoch  5, Batch    919, Loss  0.861773, Average Loss  0.869335, Time  0.445312
2021-09-29 02:52:12.622818 : Epoch  5, Batch    920, Loss  0.875851, Average Loss  0.869362, Time  0.445181
2021-09-29 02:52:18.565664 : Epoch  5, Batch    921, Loss  0.862240, Average Loss  0.869326, Time  0.444460
2021-09-29 02:52:24.497538 : Epoch  5, Batch    922, Loss  0.879827, Average Loss  0.869359, Time  0.444932
2021-09-29 02:52:30.424690 : Epoch  5, Batch    923, Loss  0.872626, Average Loss  0.869407, Time  0.459156
2021-09-29 02:52:36.360427 : Epoch  5, Batch    924, Loss  0.866256, Average Loss  0.869416, Time  0.446093
2021-09-29 02:52:42.277854 : Epoch  5, Batch    925, Loss  0.876734, Average Loss  0.869440, Time  0.444364
2021-09-29 02:52:48.222424 : Epoch  5, Batch    926, Loss  0.863388, Average Loss  0.869475, Time  0.447821
2021-09-29 02:52:54.148422 : Epoch  5, Batch    927, Loss  0.885710, Average Loss  0.869581, Time  0.444716
2021-09-29 02:53:00.084140 : Epoch  5, Batch    928, Loss  0.859792, Average Loss  0.869545, Time  0.445003
2021-09-29 02:53:00.125639 : Saving Model after 5-th Epoch.
2021-09-29 02:53:00.688310 : Epoch Finished.
2021-09-29 02:53:06.327355 : Batch Shuffled
2021-09-29 02:53:12.292675 : Epoch  6, Batch      1, Loss  0.875438, Average Loss  0.869583, Time  0.446924
2021-09-29 02:53:18.257767 : Epoch  6, Batch      2, Loss  0.871956, Average Loss  0.869660, Time  0.459136
2021-09-29 02:53:24.213297 : Epoch  6, Batch      3, Loss  0.864178, Average Loss  0.869651, Time  0.444557
2021-09-29 02:53:30.147827 : Epoch  6, Batch      4, Loss  0.865367, Average Loss  0.869697, Time  0.446494
2021-09-29 02:53:36.102221 : Epoch  6, Batch      5, Loss  0.877037, Average Loss  0.869693, Time  0.449234
2021-09-29 02:53:42.067896 : Epoch  6, Batch      6, Loss  0.882695, Average Loss  0.869805, Time  0.446359
2021-09-29 02:53:48.004371 : Epoch  6, Batch      7, Loss  0.862555, Average Loss  0.869788, Time  0.446070
2021-09-29 02:53:53.976699 : Epoch  6, Batch      8, Loss  0.877724, Average Loss  0.869766, Time  0.445572
2021-09-29 02:53:59.913074 : Epoch  6, Batch      9, Loss  0.857299, Average Loss  0.869726, Time  0.445195
2021-09-29 02:54:05.881140 : Epoch  6, Batch     10, Loss  0.882424, Average Loss  0.869801, Time  0.461878
2021-09-29 02:54:11.798623 : Epoch  6, Batch     11, Loss  0.880818, Average Loss  0.869876, Time  0.444491
2021-09-29 02:54:17.742774 : Epoch  6, Batch     12, Loss  0.875018, Average Loss  0.869961, Time  0.453223
2021-09-29 02:54:23.690445 : Epoch  6, Batch     13, Loss  0.896478, Average Loss  0.870138, Time  0.449459
2021-09-29 02:54:29.662373 : Epoch  6, Batch     14, Loss  0.863971, Average Loss  0.870078, Time  0.444980
2021-09-29 02:54:35.605506 : Epoch  6, Batch     15, Loss  0.876199, Average Loss  0.870070, Time  0.445686
2021-09-29 02:54:41.566394 : Epoch  6, Batch     16, Loss  0.869993, Average Loss  0.870104, Time  0.445126
2021-09-29 02:54:47.524129 : Epoch  6, Batch     17, Loss  0.871509, Average Loss  0.870067, Time  0.445363
2021-09-29 02:54:53.479841 : Epoch  6, Batch     18, Loss  0.872326, Average Loss  0.870141, Time  0.461025
2021-09-29 02:54:59.430566 : Epoch  6, Batch     19, Loss  0.861133, Average Loss  0.870058, Time  0.447961
2021-09-29 02:55:05.365051 : Epoch  6, Batch     20, Loss  0.863353, Average Loss  0.869933, Time  0.445758
2021-09-29 02:55:11.293796 : Epoch  6, Batch     21, Loss  0.865490, Average Loss  0.869951, Time  0.444577
2021-09-29 02:55:17.241381 : Epoch  6, Batch     22, Loss  0.875094, Average Loss  0.870008, Time  0.446595
2021-09-29 02:55:23.182312 : Epoch  6, Batch     23, Loss  0.880348, Average Loss  0.870096, Time  0.446040
2021-09-29 02:55:29.133521 : Epoch  6, Batch     24, Loss  0.883290, Average Loss  0.870084, Time  0.443981
2021-09-29 02:55:35.096199 : Epoch  6, Batch     25, Loss  0.864497, Average Loss  0.870059, Time  0.462411
2021-09-29 02:55:41.044095 : Epoch  6, Batch     26, Loss  0.871438, Average Loss  0.870146, Time  0.445828
2021-09-29 02:55:47.000494 : Epoch  6, Batch     27, Loss  0.874541, Average Loss  0.870200, Time  0.447007
2021-09-29 02:55:52.946001 : Epoch  6, Batch     28, Loss  0.862039, Average Loss  0.870147, Time  0.446172
2021-09-29 02:55:58.885540 : Epoch  6, Batch     29, Loss  0.855100, Average Loss  0.870093, Time  0.448275
2021-09-29 02:56:04.827954 : Epoch  6, Batch     30, Loss  0.867994, Average Loss  0.870117, Time  0.444668
2021-09-29 02:56:10.775127 : Epoch  6, Batch     31, Loss  0.880119, Average Loss  0.870141, Time  0.452007
2021-09-29 02:56:16.720776 : Epoch  6, Batch     32, Loss  0.875404, Average Loss  0.870185, Time  0.445343
2021-09-29 02:56:22.670838 : Epoch  6, Batch     33, Loss  0.877582, Average Loss  0.870297, Time  0.450760
2021-09-29 02:56:28.603512 : Epoch  6, Batch     34, Loss  0.878124, Average Loss  0.870376, Time  0.445159
2021-09-29 02:56:34.560959 : Epoch  6, Batch     35, Loss  0.882203, Average Loss  0.870450, Time  0.445302
2021-09-29 02:56:40.509577 : Epoch  6, Batch     36, Loss  0.863995, Average Loss  0.870400, Time  0.446461
2021-09-29 02:56:46.462600 : Epoch  6, Batch     37, Loss  0.877411, Average Loss  0.870423, Time  0.448229
2021-09-29 02:56:52.414783 : Epoch  6, Batch     38, Loss  0.869957, Average Loss  0.870373, Time  0.445269
2021-09-29 02:56:58.355430 : Epoch  6, Batch     39, Loss  0.858394, Average Loss  0.870283, Time  0.444946
2021-09-29 02:57:04.304306 : Epoch  6, Batch     40, Loss  0.875623, Average Loss  0.870235, Time  0.444949
2021-09-29 02:57:10.277930 : Epoch  6, Batch     41, Loss  0.862111, Average Loss  0.870256, Time  0.454446
2021-09-29 02:57:16.218709 : Epoch  6, Batch     42, Loss  0.871852, Average Loss  0.870245, Time  0.445521
2021-09-29 02:57:22.185797 : Epoch  6, Batch     43, Loss  0.865524, Average Loss  0.870175, Time  0.447371
2021-09-29 02:57:28.141947 : Epoch  6, Batch     44, Loss  0.871235, Average Loss  0.870075, Time  0.447512
2021-09-29 02:57:34.086865 : Epoch  6, Batch     45, Loss  0.860809, Average Loss  0.870052, Time  0.446635
2021-09-29 02:57:40.019801 : Epoch  6, Batch     46, Loss  0.859158, Average Loss  0.869975, Time  0.445102
2021-09-29 02:57:45.983083 : Epoch  6, Batch     47, Loss  0.861162, Average Loss  0.869924, Time  0.457340
2021-09-29 02:57:51.951618 : Epoch  6, Batch     48, Loss  0.871522, Average Loss  0.869951, Time  0.461480
2021-09-29 02:57:57.890936 : Epoch  6, Batch     49, Loss  0.860949, Average Loss  0.869943, Time  0.446411
2021-09-29 02:58:03.827710 : Epoch  6, Batch     50, Loss  0.858040, Average Loss  0.869853, Time  0.449518
2021-09-29 02:58:09.779362 : Epoch  6, Batch     51, Loss  0.883255, Average Loss  0.869952, Time  0.447715
2021-09-29 02:58:15.705970 : Epoch  6, Batch     52, Loss  0.887343, Average Loss  0.870056, Time  0.445738
2021-09-29 02:58:21.668801 : Epoch  6, Batch     53, Loss  0.860375, Average Loss  0.870069, Time  0.451515
2021-09-29 02:58:27.603344 : Epoch  6, Batch     54, Loss  0.858873, Average Loss  0.870110, Time  0.445958
2021-09-29 02:58:33.540487 : Epoch  6, Batch     55, Loss  0.859761, Average Loss  0.870013, Time  0.445819
2021-09-29 02:58:39.487952 : Epoch  6, Batch     56, Loss  0.857113, Average Loss  0.869956, Time  0.463108
2021-09-29 02:58:45.436281 : Epoch  6, Batch     57, Loss  0.879989, Average Loss  0.869984, Time  0.448011
2021-09-29 02:58:51.410427 : Epoch  6, Batch     58, Loss  0.873236, Average Loss  0.869998, Time  0.444779
2021-09-29 02:58:57.374294 : Epoch  6, Batch     59, Loss  0.863344, Average Loss  0.869954, Time  0.444427
2021-09-29 02:59:03.323622 : Epoch  6, Batch     60, Loss  0.871107, Average Loss  0.869960, Time  0.446127
2021-09-29 03:03:41.912797 : CheckPoint: Validation Loss  0.00015159, Best Loss  0.00014870
2021-09-29 03:03:47.901801 : Epoch  6, Batch     61, Loss  0.871847, Average Loss  0.870008, Time  0.447515
2021-09-29 03:03:53.865164 : Epoch  6, Batch     62, Loss  0.854055, Average Loss  0.869944, Time  0.446471
2021-09-29 03:03:59.790666 : Epoch  6, Batch     63, Loss  0.880107, Average Loss  0.870043, Time  0.444946
2021-09-29 03:04:05.750403 : Epoch  6, Batch     64, Loss  0.879245, Average Loss  0.870201, Time  0.453417
2021-09-29 03:04:11.698332 : Epoch  6, Batch     65, Loss  0.868003, Average Loss  0.870226, Time  0.446110
2021-09-29 03:04:17.651537 : Epoch  6, Batch     66, Loss  0.872170, Average Loss  0.870187, Time  0.445080
2021-09-29 03:04:23.624821 : Epoch  6, Batch     67, Loss  0.865791, Average Loss  0.870149, Time  0.444826
2021-09-29 03:04:29.587788 : Epoch  6, Batch     68, Loss  0.874256, Average Loss  0.870235, Time  0.449629
2021-09-29 03:04:35.558792 : Epoch  6, Batch     69, Loss  0.860386, Average Loss  0.870226, Time  0.444871
2021-09-29 03:04:41.498125 : Epoch  6, Batch     70, Loss  0.880847, Average Loss  0.870239, Time  0.448843
2021-09-29 03:04:47.448623 : Epoch  6, Batch     71, Loss  0.879722, Average Loss  0.870339, Time  0.445490
2021-09-29 03:04:53.429045 : Epoch  6, Batch     72, Loss  0.868405, Average Loss  0.870311, Time  0.469850
2021-09-29 03:04:59.370382 : Epoch  6, Batch     73, Loss  0.882361, Average Loss  0.870371, Time  0.446800
2021-09-29 03:05:05.304385 : Epoch  6, Batch     74, Loss  0.860519, Average Loss  0.870334, Time  0.445139
2021-09-29 03:05:11.246947 : Epoch  6, Batch     75, Loss  0.873494, Average Loss  0.870440, Time  0.448147
2021-09-29 03:05:17.193793 : Epoch  6, Batch     76, Loss  0.865884, Average Loss  0.870416, Time  0.446549
2021-09-29 03:05:23.147342 : Epoch  6, Batch     77, Loss  0.874807, Average Loss  0.870401, Time  0.455801
2021-09-29 03:05:29.089930 : Epoch  6, Batch     78, Loss  0.881299, Average Loss  0.870428, Time  0.444660
2021-09-29 03:05:35.034872 : Epoch  6, Batch     79, Loss  0.867085, Average Loss  0.870404, Time  0.462914
2021-09-29 03:05:41.000298 : Epoch  6, Batch     80, Loss  0.883081, Average Loss  0.870522, Time  0.447153
2021-09-29 03:05:46.967402 : Epoch  6, Batch     81, Loss  0.874200, Average Loss  0.870499, Time  0.448227
2021-09-29 03:05:52.907008 : Epoch  6, Batch     82, Loss  0.878080, Average Loss  0.870635, Time  0.446444
2021-09-29 03:05:58.853503 : Epoch  6, Batch     83, Loss  0.875664, Average Loss  0.870712, Time  0.444393
2021-09-29 03:06:30.352281 : Epoch  6, Batch     84, Loss  0.881149, Average Loss  0.870770, Time  0.465685
2021-09-29 03:06:36.321913 : Epoch  6, Batch     85, Loss  0.872822, Average Loss  0.870775, Time  0.447656
2021-09-29 03:06:42.297512 : Epoch  6, Batch     86, Loss  0.868237, Average Loss  0.870700, Time  0.446956
2021-09-29 03:06:48.257022 : Epoch  6, Batch     87, Loss  0.870263, Average Loss  0.870642, Time  0.448582
2021-09-29 03:06:54.215526 : Epoch  6, Batch     88, Loss  0.875138, Average Loss  0.870632, Time  0.446382
2021-09-29 03:07:00.194430 : Epoch  6, Batch     89, Loss  0.879547, Average Loss  0.870701, Time  0.446619
2021-09-29 03:07:06.165619 : Epoch  6, Batch     90, Loss  0.854004, Average Loss  0.870684, Time  0.460349
2021-09-29 03:07:12.121852 : Epoch  6, Batch     91, Loss  0.870780, Average Loss  0.870652, Time  0.449305
2021-09-29 03:07:18.079672 : Epoch  6, Batch     92, Loss  0.890559, Average Loss  0.870780, Time  0.447633
2021-09-29 03:07:24.049418 : Epoch  6, Batch     93, Loss  0.864649, Average Loss  0.870776, Time  0.446674
2021-09-29 03:07:30.024607 : Epoch  6, Batch     94, Loss  0.880136, Average Loss  0.870845, Time  0.449413
2021-09-29 03:07:35.986915 : Epoch  6, Batch     95, Loss  0.862787, Average Loss  0.870796, Time  0.452773
2021-09-29 03:07:41.937669 : Epoch  6, Batch     96, Loss  0.867658, Average Loss  0.870714, Time  0.447969
2021-09-29 03:07:47.899198 : Epoch  6, Batch     97, Loss  0.877166, Average Loss  0.870784, Time  0.446443
2021-09-29 03:07:53.848991 : Epoch  6, Batch     98, Loss  0.879065, Average Loss  0.870775, Time  0.456174
2021-09-29 03:07:59.823559 : Epoch  6, Batch     99, Loss  0.865607, Average Loss  0.870676, Time  0.446198
2021-09-29 03:08:05.799361 : Epoch  6, Batch    100, Loss  0.867850, Average Loss  0.870670, Time  0.448185
2021-09-29 03:08:11.748838 : Epoch  6, Batch    101, Loss  0.864044, Average Loss  0.870559, Time  0.449601
2021-09-29 03:08:17.662347 : Epoch  6, Batch    102, Loss  0.876682, Average Loss  0.870575, Time  0.445770
2021-09-29 03:08:23.596393 : Epoch  6, Batch    103, Loss  0.882117, Average Loss  0.870609, Time  0.444661
2021-09-29 03:08:29.526032 : Epoch  6, Batch    104, Loss  0.876462, Average Loss  0.870660, Time  0.446069
2021-09-29 03:08:35.469339 : Epoch  6, Batch    105, Loss  0.873938, Average Loss  0.870683, Time  0.444988
2021-09-29 03:08:41.413529 : Epoch  6, Batch    106, Loss  0.884089, Average Loss  0.870752, Time  0.460545
2021-09-29 03:08:47.328268 : Epoch  6, Batch    107, Loss  0.873293, Average Loss  0.870806, Time  0.446070
2021-09-29 03:08:53.264836 : Epoch  6, Batch    108, Loss  0.880272, Average Loss  0.870876, Time  0.445510
2021-09-29 03:08:59.218783 : Epoch  6, Batch    109, Loss  0.871818, Average Loss  0.870923, Time  0.448953
2021-09-29 03:09:05.147224 : Epoch  6, Batch    110, Loss  0.870851, Average Loss  0.870917, Time  0.447987
2021-09-29 03:09:11.085361 : Epoch  6, Batch    111, Loss  0.879601, Average Loss  0.870984, Time  0.446416
2021-09-29 03:09:17.020310 : Epoch  6, Batch    112, Loss  0.865621, Average Loss  0.870985, Time  0.450035
2021-09-29 03:09:22.948809 : Epoch  6, Batch    113, Loss  0.865999, Average Loss  0.871032, Time  0.455232
2021-09-29 03:09:28.891118 : Epoch  6, Batch    114, Loss  0.850144, Average Loss  0.870935, Time  0.446066
2021-09-29 03:09:34.817838 : Epoch  6, Batch    115, Loss  0.869456, Average Loss  0.870931, Time  0.444751
2021-09-29 03:09:40.738880 : Epoch  6, Batch    116, Loss  0.873644, Average Loss  0.870993, Time  0.445364
2021-09-29 03:09:46.668158 : Epoch  6, Batch    117, Loss  0.861305, Average Loss  0.870953, Time  0.445812
2021-09-29 03:09:52.596961 : Epoch  6, Batch    118, Loss  0.883322, Average Loss  0.871036, Time  0.445452
2021-09-29 03:09:58.553934 : Epoch  6, Batch    119, Loss  0.866005, Average Loss  0.871058, Time  0.447386
2021-09-29 03:10:04.479353 : Epoch  6, Batch    120, Loss  0.860350, Average Loss  0.870989, Time  0.445374
2021-09-29 03:10:10.430613 : Epoch  6, Batch    121, Loss  0.876735, Average Loss  0.871050, Time  0.453343
2021-09-29 03:10:16.374398 : Epoch  6, Batch    122, Loss  0.879316, Average Loss  0.871066, Time  0.452940
2021-09-29 03:10:22.298612 : Epoch  6, Batch    123, Loss  0.873174, Average Loss  0.871093, Time  0.444331
2021-09-29 03:10:28.227955 : Epoch  6, Batch    124, Loss  0.863690, Average Loss  0.871002, Time  0.445098
2021-09-29 03:10:34.161028 : Epoch  6, Batch    125, Loss  0.888636, Average Loss  0.871121, Time  0.447168
2021-09-29 03:10:40.091884 : Epoch  6, Batch    126, Loss  0.863894, Average Loss  0.871056, Time  0.447086
2021-09-29 03:10:46.031396 : Epoch  6, Batch    127, Loss  0.863792, Average Loss  0.870952, Time  0.446005
2021-09-29 03:10:51.966877 : Epoch  6, Batch    128, Loss  0.860861, Average Loss  0.870904, Time  0.445256
2021-09-29 03:10:57.919207 : Epoch  6, Batch    129, Loss  0.864348, Average Loss  0.870893, Time  0.461702
2021-09-29 03:11:03.864360 : Epoch  6, Batch    130, Loss  0.873416, Average Loss  0.870975, Time  0.445344
2021-09-29 03:11:09.792635 : Epoch  6, Batch    131, Loss  0.870412, Average Loss  0.871090, Time  0.444805
2021-09-29 03:11:15.731350 : Epoch  6, Batch    132, Loss  0.890227, Average Loss  0.871161, Time  0.446509
2021-09-29 03:11:21.659755 : Epoch  6, Batch    133, Loss  0.859697, Average Loss  0.871133, Time  0.444839
2021-09-29 03:11:27.601790 : Epoch  6, Batch    134, Loss  0.878564, Average Loss  0.871203, Time  0.445430
2021-09-29 03:11:33.532450 : Epoch  6, Batch    135, Loss  0.881047, Average Loss  0.871264, Time  0.447116
2021-09-29 03:11:39.480667 : Epoch  6, Batch    136, Loss  0.871467, Average Loss  0.871222, Time  0.445861
2021-09-29 03:11:45.429561 : Epoch  6, Batch    137, Loss  0.866198, Average Loss  0.871162, Time  0.459237
2021-09-29 03:11:51.369712 : Epoch  6, Batch    138, Loss  0.879652, Average Loss  0.871169, Time  0.446801
2021-09-29 03:11:57.317745 : Epoch  6, Batch    139, Loss  0.865197, Average Loss  0.871100, Time  0.444851
2021-09-29 03:12:03.256012 : Epoch  6, Batch    140, Loss  0.879157, Average Loss  0.871164, Time  0.444760
2021-09-29 03:12:09.192293 : Epoch  6, Batch    141, Loss  0.877898, Average Loss  0.871132, Time  0.445643
2021-09-29 03:12:15.110087 : Epoch  6, Batch    142, Loss  0.865812, Average Loss  0.871068, Time  0.444799
2021-09-29 03:12:21.038663 : Epoch  6, Batch    143, Loss  0.879283, Average Loss  0.871120, Time  0.444715
2021-09-29 03:12:26.997806 : Epoch  6, Batch    144, Loss  0.874015, Average Loss  0.871114, Time  0.461114
2021-09-29 03:12:32.940138 : Epoch  6, Batch    145, Loss  0.872567, Average Loss  0.871167, Time  0.446564
2021-09-29 03:12:38.867931 : Epoch  6, Batch    146, Loss  0.864507, Average Loss  0.871176, Time  0.446504
2021-09-29 03:12:44.796837 : Epoch  6, Batch    147, Loss  0.875189, Average Loss  0.871168, Time  0.445954
2021-09-29 03:12:50.733754 : Epoch  6, Batch    148, Loss  0.851256, Average Loss  0.871120, Time  0.444604
2021-09-29 03:12:56.686234 : Epoch  6, Batch    149, Loss  0.874027, Average Loss  0.871085, Time  0.446890
2021-09-29 03:13:02.628771 : Epoch  6, Batch    150, Loss  0.869914, Average Loss  0.870961, Time  0.444872
2021-09-29 03:13:08.549323 : Epoch  6, Batch    151, Loss  0.864480, Average Loss  0.871000, Time  0.445969
2021-09-29 03:13:14.497594 : Epoch  6, Batch    152, Loss  0.852946, Average Loss  0.870876, Time  0.457980
2021-09-29 03:13:20.412212 : Epoch  6, Batch    153, Loss  0.877659, Average Loss  0.870934, Time  0.444286
2021-09-29 03:13:26.337429 : Epoch  6, Batch    154, Loss  0.869476, Average Loss  0.870960, Time  0.445599
2021-09-29 03:13:32.282438 : Epoch  6, Batch    155, Loss  0.879551, Average Loss  0.871027, Time  0.445575
2021-09-29 03:13:38.195763 : Epoch  6, Batch    156, Loss  0.865691, Average Loss  0.870981, Time  0.444490
2021-09-29 03:13:44.125538 : Epoch  6, Batch    157, Loss  0.872014, Average Loss  0.871008, Time  0.444662
2021-09-29 03:13:50.050068 : Epoch  6, Batch    158, Loss  0.869629, Average Loss  0.871001, Time  0.445466
2021-09-29 03:13:55.991095 : Epoch  6, Batch    159, Loss  0.871463, Average Loss  0.871053, Time  0.448624
2021-09-29 03:14:01.938382 : Epoch  6, Batch    160, Loss  0.887148, Average Loss  0.871233, Time  0.459576
2021-09-29 03:18:38.813685 : CheckPoint: Validation Loss  0.00015093, Best Loss  0.00014870
2021-09-29 03:18:44.715240 : Epoch  6, Batch    161, Loss  0.867228, Average Loss  0.871226, Time  0.457348
2021-09-29 03:18:50.595342 : Epoch  6, Batch    162, Loss  0.856775, Average Loss  0.871164, Time  0.445305
2021-09-29 03:18:56.502761 : Epoch  6, Batch    163, Loss  0.864466, Average Loss  0.871027, Time  0.445944
2021-09-29 03:19:02.414148 : Epoch  6, Batch    164, Loss  0.855258, Average Loss  0.870947, Time  0.445972
2021-09-29 03:19:08.319762 : Epoch  6, Batch    165, Loss  0.864015, Average Loss  0.870929, Time  0.449186
2021-09-29 03:19:14.205066 : Epoch  6, Batch    166, Loss  0.870629, Average Loss  0.870890, Time  0.449928
2021-09-29 03:19:20.119865 : Epoch  6, Batch    167, Loss  0.886716, Average Loss  0.871031, Time  0.446175
2021-09-29 03:19:26.027384 : Epoch  6, Batch    168, Loss  0.865532, Average Loss  0.870990, Time  0.455271
2021-09-29 03:19:31.944256 : Epoch  6, Batch    169, Loss  0.861806, Average Loss  0.870973, Time  0.445616
2021-09-29 03:19:37.853993 : Epoch  6, Batch    170, Loss  0.850796, Average Loss  0.870894, Time  0.444968
2021-09-29 03:19:43.775663 : Epoch  6, Batch    171, Loss  0.870904, Average Loss  0.870937, Time  0.444643
2021-09-29 03:19:49.678772 : Epoch  6, Batch    172, Loss  0.869769, Average Loss  0.870925, Time  0.446996
2021-09-29 03:19:55.582784 : Epoch  6, Batch    173, Loss  0.869361, Average Loss  0.870892, Time  0.447179
2021-09-29 03:20:01.500996 : Epoch  6, Batch    174, Loss  0.859604, Average Loss  0.870873, Time  0.447162
2021-09-29 03:20:07.401786 : Epoch  6, Batch    175, Loss  0.874594, Average Loss  0.870928, Time  0.445318
2021-09-29 03:20:13.311176 : Epoch  6, Batch    176, Loss  0.858639, Average Loss  0.870842, Time  0.456867
2021-09-29 03:20:19.230103 : Epoch  6, Batch    177, Loss  0.865007, Average Loss  0.870750, Time  0.445067
2021-09-29 03:20:25.121595 : Epoch  6, Batch    178, Loss  0.864503, Average Loss  0.870725, Time  0.444926
2021-09-29 03:20:31.020810 : Epoch  6, Batch    179, Loss  0.875826, Average Loss  0.870793, Time  0.446855
2021-09-29 03:20:36.924010 : Epoch  6, Batch    180, Loss  0.894895, Average Loss  0.870914, Time  0.444541
2021-09-29 03:20:42.831616 : Epoch  6, Batch    181, Loss  0.867171, Average Loss  0.870897, Time  0.448567
2021-09-29 03:20:48.732821 : Epoch  6, Batch    182, Loss  0.868013, Average Loss  0.870885, Time  0.444696
2021-09-29 03:20:54.642385 : Epoch  6, Batch    183, Loss  0.877270, Average Loss  0.870921, Time  0.446513
2021-09-29 03:21:00.563725 : Epoch  6, Batch    184, Loss  0.884446, Average Loss  0.870982, Time  0.460728
2021-09-29 03:21:06.470828 : Epoch  6, Batch    185, Loss  0.873263, Average Loss  0.870971, Time  0.445211
2021-09-29 03:21:12.373792 : Epoch  6, Batch    186, Loss  0.859718, Average Loss  0.870831, Time  0.445205
2021-09-29 03:21:18.281871 : Epoch  6, Batch    187, Loss  0.856055, Average Loss  0.870755, Time  0.445593
2021-09-29 03:21:24.187924 : Epoch  6, Batch    188, Loss  0.888273, Average Loss  0.870780, Time  0.444424
2021-09-29 03:21:30.095820 : Epoch  6, Batch    189, Loss  0.860526, Average Loss  0.870854, Time  0.446648
2021-09-29 03:21:36.004921 : Epoch  6, Batch    190, Loss  0.867274, Average Loss  0.870836, Time  0.449737
2021-09-29 03:21:41.929817 : Epoch  6, Batch    191, Loss  0.877110, Average Loss  0.870912, Time  0.456521
2021-09-29 03:21:47.853857 : Epoch  6, Batch    192, Loss  0.881739, Average Loss  0.870942, Time  0.445758
2021-09-29 03:21:53.767788 : Epoch  6, Batch    193, Loss  0.861919, Average Loss  0.870940, Time  0.444951
2021-09-29 03:21:59.675700 : Epoch  6, Batch    194, Loss  0.875964, Average Loss  0.870921, Time  0.451066
2021-09-29 03:22:05.594293 : Epoch  6, Batch    195, Loss  0.856110, Average Loss  0.870838, Time  0.444352
2021-09-29 03:22:11.503589 : Epoch  6, Batch    196, Loss  0.868781, Average Loss  0.870851, Time  0.448316
2021-09-29 03:22:17.412788 : Epoch  6, Batch    197, Loss  0.874815, Average Loss  0.870841, Time  0.444535
2021-09-29 03:22:23.333913 : Epoch  6, Batch    198, Loss  0.875824, Average Loss  0.870904, Time  0.445031
2021-09-29 03:22:29.247903 : Epoch  6, Batch    199, Loss  0.869515, Average Loss  0.870823, Time  0.452736
2021-09-29 03:22:35.150481 : Epoch  6, Batch    200, Loss  0.880043, Average Loss  0.870924, Time  0.444252
2021-09-29 03:22:41.055308 : Epoch  6, Batch    201, Loss  0.853285, Average Loss  0.870813, Time  0.445192
2021-09-29 03:22:46.956917 : Epoch  6, Batch    202, Loss  0.873769, Average Loss  0.870822, Time  0.444719
2021-09-29 03:22:52.875860 : Epoch  6, Batch    203, Loss  0.859260, Average Loss  0.870798, Time  0.445103
2021-09-29 03:22:58.776115 : Epoch  6, Batch    204, Loss  0.881885, Average Loss  0.870880, Time  0.444423
2021-09-29 03:23:03.154743 : Epoch  6, Batch    205, Loss  0.875094, Average Loss  0.870870, Time  0.347126
2021-09-29 03:23:09.065793 : Epoch  6, Batch    206, Loss  0.865944, Average Loss  0.870787, Time  0.446006
2021-09-29 03:23:14.978780 : Epoch  6, Batch    207, Loss  0.879994, Average Loss  0.870874, Time  0.457263
2021-09-29 03:23:20.886409 : Epoch  6, Batch    208, Loss  0.868875, Average Loss  0.870830, Time  0.445219
2021-09-29 03:23:26.793798 : Epoch  6, Batch    209, Loss  0.880726, Average Loss  0.870947, Time  0.444338
2021-09-29 03:23:32.735260 : Epoch  6, Batch    210, Loss  0.877491, Average Loss  0.870922, Time  0.444586
2021-09-29 03:23:38.649752 : Epoch  6, Batch    211, Loss  0.877900, Average Loss  0.870907, Time  0.446752
2021-09-29 03:23:44.556789 : Epoch  6, Batch    212, Loss  0.869236, Average Loss  0.870879, Time  0.446132
2021-09-29 03:23:50.476152 : Epoch  6, Batch    213, Loss  0.860735, Average Loss  0.870700, Time  0.445338
2021-09-29 03:23:56.385310 : Epoch  6, Batch    214, Loss  0.883314, Average Loss  0.870797, Time  0.448587
2021-09-29 03:24:02.303393 : Epoch  6, Batch    215, Loss  0.871411, Average Loss  0.870773, Time  0.454309
2021-09-29 03:24:08.213949 : Epoch  6, Batch    216, Loss  0.876185, Average Loss  0.870804, Time  0.445744
2021-09-29 03:24:14.124623 : Epoch  6, Batch    217, Loss  0.867994, Average Loss  0.870786, Time  0.448067
2021-09-29 03:24:20.032623 : Epoch  6, Batch    218, Loss  0.871360, Average Loss  0.870781, Time  0.446808
2021-09-29 03:24:25.928275 : Epoch  6, Batch    219, Loss  0.867388, Average Loss  0.870812, Time  0.444219
2021-09-29 03:24:31.841661 : Epoch  6, Batch    220, Loss  0.877297, Average Loss  0.870882, Time  0.447259
2021-09-29 03:24:37.753138 : Epoch  6, Batch    221, Loss  0.871904, Average Loss  0.870914, Time  0.447572
2021-09-29 03:24:43.664420 : Epoch  6, Batch    222, Loss  0.887353, Average Loss  0.870976, Time  0.446583
2021-09-29 03:24:49.578838 : Epoch  6, Batch    223, Loss  0.872949, Average Loss  0.870939, Time  0.455444
2021-09-29 03:24:55.508908 : Epoch  6, Batch    224, Loss  0.865175, Average Loss  0.870848, Time  0.450922
2021-09-29 03:25:01.439832 : Epoch  6, Batch    225, Loss  0.875583, Average Loss  0.870903, Time  0.447273
2021-09-29 03:25:07.348903 : Epoch  6, Batch    226, Loss  0.854876, Average Loss  0.870821, Time  0.447396
2021-09-29 03:25:13.269308 : Epoch  6, Batch    227, Loss  0.869096, Average Loss  0.870793, Time  0.443818
2021-09-29 03:25:19.161747 : Epoch  6, Batch    228, Loss  0.885259, Average Loss  0.870909, Time  0.444309
2021-09-29 03:25:25.056732 : Epoch  6, Batch    229, Loss  0.881789, Average Loss  0.871043, Time  0.447129
2021-09-29 03:25:30.963229 : Epoch  6, Batch    230, Loss  0.861595, Average Loss  0.871011, Time  0.448272
2021-09-29 03:25:36.865788 : Epoch  6, Batch    231, Loss  0.856204, Average Loss  0.870891, Time  0.456274
2021-09-29 03:25:42.775415 : Epoch  6, Batch    232, Loss  0.878394, Average Loss  0.870906, Time  0.446284
2021-09-29 03:25:48.677789 : Epoch  6, Batch    233, Loss  0.858928, Average Loss  0.870813, Time  0.444093
2021-09-29 03:25:54.581188 : Epoch  6, Batch    234, Loss  0.874247, Average Loss  0.870794, Time  0.444057
2021-09-29 03:26:00.456847 : Epoch  6, Batch    235, Loss  0.872534, Average Loss  0.870745, Time  0.444803
2021-09-29 03:26:06.363375 : Epoch  6, Batch    236, Loss  0.867545, Average Loss  0.870763, Time  0.444795
2021-09-29 03:26:12.267461 : Epoch  6, Batch    237, Loss  0.888771, Average Loss  0.870820, Time  0.445021
2021-09-29 03:26:18.181732 : Epoch  6, Batch    238, Loss  0.865300, Average Loss  0.870797, Time  0.444808
2021-09-29 03:26:24.103262 : Epoch  6, Batch    239, Loss  0.861593, Average Loss  0.870813, Time  0.458417
2021-09-29 03:26:30.001274 : Epoch  6, Batch    240, Loss  0.873009, Average Loss  0.870799, Time  0.446254
2021-09-29 03:26:35.915551 : Epoch  6, Batch    241, Loss  0.856502, Average Loss  0.870771, Time  0.448778
2021-09-29 03:26:41.831742 : Epoch  6, Batch    242, Loss  0.881909, Average Loss  0.870822, Time  0.445283
2021-09-29 03:26:47.759683 : Epoch  6, Batch    243, Loss  0.877476, Average Loss  0.870881, Time  0.444174
2021-09-29 03:26:53.672074 : Epoch  6, Batch    244, Loss  0.865720, Average Loss  0.870854, Time  0.447113
2021-09-29 03:26:59.572429 : Epoch  6, Batch    245, Loss  0.876664, Average Loss  0.870933, Time  0.444479
2021-09-29 03:27:05.488853 : Epoch  6, Batch    246, Loss  0.862393, Average Loss  0.870949, Time  0.447817
2021-09-29 03:27:11.412887 : Epoch  6, Batch    247, Loss  0.845158, Average Loss  0.870869, Time  0.460063
2021-09-29 03:27:17.327403 : Epoch  6, Batch    248, Loss  0.866535, Average Loss  0.870844, Time  0.447536
2021-09-29 03:27:23.239432 : Epoch  6, Batch    249, Loss  0.874865, Average Loss  0.870914, Time  0.446709
2021-09-29 03:27:29.146469 : Epoch  6, Batch    250, Loss  0.851010, Average Loss  0.870879, Time  0.444773
2021-09-29 03:27:35.051574 : Epoch  6, Batch    251, Loss  0.890219, Average Loss  0.870914, Time  0.444304
2021-09-29 03:27:40.960812 : Epoch  6, Batch    252, Loss  0.879139, Average Loss  0.870873, Time  0.447164
2021-09-29 03:27:46.882494 : Epoch  6, Batch    253, Loss  0.883606, Average Loss  0.870989, Time  0.445260
2021-09-29 03:27:52.791259 : Epoch  6, Batch    254, Loss  0.850324, Average Loss  0.870946, Time  0.447009
2021-09-29 03:27:58.712411 : Epoch  6, Batch    255, Loss  0.879550, Average Loss  0.871045, Time  0.457856
2021-09-29 03:28:04.627963 : Epoch  6, Batch    256, Loss  0.871170, Average Loss  0.871115, Time  0.447027
2021-09-29 03:28:10.543011 : Epoch  6, Batch    257, Loss  0.880258, Average Loss  0.871117, Time  0.445071
2021-09-29 03:28:16.478263 : Epoch  6, Batch    258, Loss  0.878425, Average Loss  0.871143, Time  0.445937
2021-09-29 03:28:22.405959 : Epoch  6, Batch    259, Loss  0.854952, Average Loss  0.871101, Time  0.445180
2021-09-29 03:28:28.339785 : Epoch  6, Batch    260, Loss  0.863633, Average Loss  0.871063, Time  0.451199
2021-09-29 03:33:06.275429 : CheckPoint: Validation Loss  0.00015224, Best Loss  0.00014870
2021-09-29 03:33:12.215915 : Epoch  6, Batch    261, Loss  0.866389, Average Loss  0.871036, Time  0.446621
2021-09-29 03:33:18.143421 : Epoch  6, Batch    262, Loss  0.865316, Average Loss  0.871092, Time  0.458972
2021-09-29 03:33:24.086654 : Epoch  6, Batch    263, Loss  0.859227, Average Loss  0.870988, Time  0.445725
2021-09-29 03:33:30.003177 : Epoch  6, Batch    264, Loss  0.882713, Average Loss  0.871005, Time  0.446466
2021-09-29 03:33:35.928785 : Epoch  6, Batch    265, Loss  0.858157, Average Loss  0.870956, Time  0.447734
2021-09-29 03:33:41.861856 : Epoch  6, Batch    266, Loss  0.868482, Average Loss  0.870938, Time  0.444945
2021-09-29 03:33:47.755225 : Epoch  6, Batch    267, Loss  0.862521, Average Loss  0.870921, Time  0.444292
2021-09-29 03:33:53.683801 : Epoch  6, Batch    268, Loss  0.873938, Average Loss  0.870920, Time  0.444983
2021-09-29 03:33:59.621749 : Epoch  6, Batch    269, Loss  0.874004, Average Loss  0.870988, Time  0.446955
2021-09-29 03:34:05.561051 : Epoch  6, Batch    270, Loss  0.866894, Average Loss  0.870918, Time  0.458338
2021-09-29 03:34:11.495561 : Epoch  6, Batch    271, Loss  0.871078, Average Loss  0.870875, Time  0.445296
2021-09-29 03:34:17.399291 : Epoch  6, Batch    272, Loss  0.861585, Average Loss  0.870841, Time  0.445652
2021-09-29 03:34:23.313285 : Epoch  6, Batch    273, Loss  0.871273, Average Loss  0.870785, Time  0.444635
2021-09-29 03:34:29.253792 : Epoch  6, Batch    274, Loss  0.867227, Average Loss  0.870819, Time  0.445126
2021-09-29 03:34:35.170452 : Epoch  6, Batch    275, Loss  0.864671, Average Loss  0.870775, Time  0.444456
2021-09-29 03:34:41.114613 : Epoch  6, Batch    276, Loss  0.857206, Average Loss  0.870731, Time  0.444860
2021-09-29 03:34:47.037790 : Epoch  6, Batch    277, Loss  0.867154, Average Loss  0.870693, Time  0.444271
2021-09-29 03:34:52.962238 : Epoch  6, Batch    278, Loss  0.877850, Average Loss  0.870676, Time  0.462374
2021-09-29 03:34:58.898969 : Epoch  6, Batch    279, Loss  0.858457, Average Loss  0.870633, Time  0.446732
2021-09-29 03:35:04.817896 : Epoch  6, Batch    280, Loss  0.872424, Average Loss  0.870579, Time  0.443965
2021-09-29 03:35:10.726734 : Epoch  6, Batch    281, Loss  0.875831, Average Loss  0.870587, Time  0.444306
2021-09-29 03:35:16.670804 : Epoch  6, Batch    282, Loss  0.861245, Average Loss  0.870503, Time  0.445755
2021-09-29 03:35:22.595497 : Epoch  6, Batch    283, Loss  0.868161, Average Loss  0.870466, Time  0.445227
2021-09-29 03:35:28.551397 : Epoch  6, Batch    284, Loss  0.851815, Average Loss  0.870319, Time  0.446334
2021-09-29 03:35:34.486913 : Epoch  6, Batch    285, Loss  0.873388, Average Loss  0.870322, Time  0.446566
2021-09-29 03:35:40.423535 : Epoch  6, Batch    286, Loss  0.864598, Average Loss  0.870304, Time  0.461366
2021-09-29 03:35:46.357285 : Epoch  6, Batch    287, Loss  0.878663, Average Loss  0.870346, Time  0.444320
2021-09-29 03:35:52.300107 : Epoch  6, Batch    288, Loss  0.866898, Average Loss  0.870304, Time  0.446133
2021-09-29 03:35:58.224239 : Epoch  6, Batch    289, Loss  0.877190, Average Loss  0.870293, Time  0.445765
2021-09-29 03:36:04.145859 : Epoch  6, Batch    290, Loss  0.865214, Average Loss  0.870349, Time  0.444546
2021-09-29 03:36:10.071197 : Epoch  6, Batch    291, Loss  0.883870, Average Loss  0.870414, Time  0.445438
2021-09-29 03:36:16.010706 : Epoch  6, Batch    292, Loss  0.876169, Average Loss  0.870342, Time  0.444657
2021-09-29 03:36:21.941878 : Epoch  6, Batch    293, Loss  0.862244, Average Loss  0.870330, Time  0.448428
2021-09-29 03:36:27.910099 : Epoch  6, Batch    294, Loss  0.870497, Average Loss  0.870282, Time  0.459537
2021-09-29 03:36:33.830284 : Epoch  6, Batch    295, Loss  0.878380, Average Loss  0.870360, Time  0.446199
2021-09-29 03:36:39.778919 : Epoch  6, Batch    296, Loss  0.878650, Average Loss  0.870415, Time  0.448210
2021-09-29 03:36:45.707518 : Epoch  6, Batch    297, Loss  0.872062, Average Loss  0.870389, Time  0.445809
2021-09-29 03:36:51.627662 : Epoch  6, Batch    298, Loss  0.878891, Average Loss  0.870389, Time  0.445946
2021-09-29 03:36:57.545548 : Epoch  6, Batch    299, Loss  0.852141, Average Loss  0.870321, Time  0.444221
2021-09-29 03:37:03.470790 : Epoch  6, Batch    300, Loss  0.864259, Average Loss  0.870303, Time  0.444310
2021-09-29 03:37:09.425762 : Epoch  6, Batch    301, Loss  0.869191, Average Loss  0.870329, Time  0.449936
2021-09-29 03:37:15.367503 : Epoch  6, Batch    302, Loss  0.875772, Average Loss  0.870324, Time  0.464368
2021-09-29 03:37:21.298784 : Epoch  6, Batch    303, Loss  0.871562, Average Loss  0.870272, Time  0.444607
2021-09-29 03:37:27.210899 : Epoch  6, Batch    304, Loss  0.871207, Average Loss  0.870245, Time  0.446996
2021-09-29 03:37:33.134206 : Epoch  6, Batch    305, Loss  0.866628, Average Loss  0.870209, Time  0.445153
2021-09-29 03:37:39.059295 : Epoch  6, Batch    306, Loss  0.867263, Average Loss  0.870125, Time  0.443599
2021-09-29 03:37:44.991055 : Epoch  6, Batch    307, Loss  0.870227, Average Loss  0.870109, Time  0.446998
2021-09-29 03:37:50.885133 : Epoch  6, Batch    308, Loss  0.867305, Average Loss  0.870045, Time  0.444286
2021-09-29 03:37:56.813505 : Epoch  6, Batch    309, Loss  0.863368, Average Loss  0.870002, Time  0.445318
2021-09-29 03:38:02.731745 : Epoch  6, Batch    310, Loss  0.867338, Average Loss  0.869985, Time  0.457290
2021-09-29 03:38:08.679741 : Epoch  6, Batch    311, Loss  0.862524, Average Loss  0.869899, Time  0.446047
2021-09-29 03:38:14.604100 : Epoch  6, Batch    312, Loss  0.859699, Average Loss  0.869870, Time  0.450299
2021-09-29 03:38:20.539563 : Epoch  6, Batch    313, Loss  0.862359, Average Loss  0.869852, Time  0.446592
2021-09-29 03:38:26.451743 : Epoch  6, Batch    314, Loss  0.880746, Average Loss  0.870005, Time  0.444468
2021-09-29 03:38:32.386312 : Epoch  6, Batch    315, Loss  0.868950, Average Loss  0.870002, Time  0.444705
2021-09-29 03:38:38.320690 : Epoch  6, Batch    316, Loss  0.863833, Average Loss  0.869953, Time  0.446276
2021-09-29 03:38:44.238189 : Epoch  6, Batch    317, Loss  0.865581, Average Loss  0.869974, Time  0.444325
2021-09-29 03:38:50.170849 : Epoch  6, Batch    318, Loss  0.872617, Average Loss  0.869921, Time  0.460526
2021-09-29 03:38:56.100793 : Epoch  6, Batch    319, Loss  0.881289, Average Loss  0.869997, Time  0.445798
2021-09-29 03:39:02.026542 : Epoch  6, Batch    320, Loss  0.864359, Average Loss  0.870017, Time  0.447373
2021-09-29 03:39:07.948528 : Epoch  6, Batch    321, Loss  0.862068, Average Loss  0.869944, Time  0.447297
2021-09-29 03:39:13.875606 : Epoch  6, Batch    322, Loss  0.849655, Average Loss  0.869796, Time  0.444561
2021-09-29 03:39:19.797838 : Epoch  6, Batch    323, Loss  0.877420, Average Loss  0.869817, Time  0.445692
2021-09-29 03:39:25.723952 : Epoch  6, Batch    324, Loss  0.873670, Average Loss  0.869867, Time  0.446794
2021-09-29 03:39:31.655795 : Epoch  6, Batch    325, Loss  0.884432, Average Loss  0.869846, Time  0.447253
2021-09-29 03:39:37.600436 : Epoch  6, Batch    326, Loss  0.878595, Average Loss  0.869919, Time  0.458614
2021-09-29 03:39:43.529134 : Epoch  6, Batch    327, Loss  0.889456, Average Loss  0.870048, Time  0.449459
2021-09-29 03:39:49.454001 : Epoch  6, Batch    328, Loss  0.870756, Average Loss  0.870097, Time  0.444656
2021-09-29 03:39:55.377781 : Epoch  6, Batch    329, Loss  0.860792, Average Loss  0.870079, Time  0.445271
2021-09-29 03:40:01.319815 : Epoch  6, Batch    330, Loss  0.881702, Average Loss  0.870121, Time  0.451580
2021-09-29 03:40:07.253554 : Epoch  6, Batch    331, Loss  0.886984, Average Loss  0.870204, Time  0.446703
2021-09-29 03:40:13.185921 : Epoch  6, Batch    332, Loss  0.874895, Average Loss  0.870127, Time  0.446068
2021-09-29 03:40:19.128227 : Epoch  6, Batch    333, Loss  0.869334, Average Loss  0.870175, Time  0.454869
2021-09-29 03:40:25.063541 : Epoch  6, Batch    334, Loss  0.884533, Average Loss  0.870205, Time  0.446931
2021-09-29 03:40:31.007918 : Epoch  6, Batch    335, Loss  0.858984, Average Loss  0.870095, Time  0.445478
2021-09-29 03:40:36.959141 : Epoch  6, Batch    336, Loss  0.854243, Average Loss  0.870009, Time  0.448225
2021-09-29 03:40:42.904900 : Epoch  6, Batch    337, Loss  0.877546, Average Loss  0.870065, Time  0.452240
2021-09-29 03:40:48.832289 : Epoch  6, Batch    338, Loss  0.861866, Average Loss  0.869976, Time  0.446810
2021-09-29 03:40:54.770224 : Epoch  6, Batch    339, Loss  0.880814, Average Loss  0.870054, Time  0.448639
2021-09-29 03:41:00.711257 : Epoch  6, Batch    340, Loss  0.882234, Average Loss  0.870070, Time  0.446094
2021-09-29 03:41:06.666332 : Epoch  6, Batch    341, Loss  0.864997, Average Loss  0.870005, Time  0.458373
2021-09-29 03:41:12.596827 : Epoch  6, Batch    342, Loss  0.855126, Average Loss  0.869952, Time  0.448864
2021-09-29 03:41:18.528098 : Epoch  6, Batch    343, Loss  0.866230, Average Loss  0.869887, Time  0.444814
2021-09-29 03:41:24.459220 : Epoch  6, Batch    344, Loss  0.851785, Average Loss  0.869775, Time  0.444877
2021-09-29 03:41:30.377546 : Epoch  6, Batch    345, Loss  0.870054, Average Loss  0.869763, Time  0.444152
2021-09-29 03:41:36.286525 : Epoch  6, Batch    346, Loss  0.870045, Average Loss  0.869791, Time  0.448076
2021-09-29 03:41:42.209284 : Epoch  6, Batch    347, Loss  0.867812, Average Loss  0.869754, Time  0.446008
2021-09-29 03:41:48.136832 : Epoch  6, Batch    348, Loss  0.863173, Average Loss  0.869813, Time  0.445295
2021-09-29 03:41:54.078804 : Epoch  6, Batch    349, Loss  0.866548, Average Loss  0.869776, Time  0.457395
2021-09-29 03:42:00.012873 : Epoch  6, Batch    350, Loss  0.871639, Average Loss  0.869785, Time  0.444539
2021-09-29 03:42:05.925952 : Epoch  6, Batch    351, Loss  0.876231, Average Loss  0.869843, Time  0.446568
2021-09-29 03:42:11.843259 : Epoch  6, Batch    352, Loss  0.871757, Average Loss  0.869937, Time  0.445044
2021-09-29 03:42:17.758728 : Epoch  6, Batch    353, Loss  0.856739, Average Loss  0.869833, Time  0.446375
2021-09-29 03:42:23.688711 : Epoch  6, Batch    354, Loss  0.862915, Average Loss  0.869800, Time  0.444316
2021-09-29 03:42:29.620503 : Epoch  6, Batch    355, Loss  0.881473, Average Loss  0.869810, Time  0.449256
2021-09-29 03:42:35.561388 : Epoch  6, Batch    356, Loss  0.858149, Average Loss  0.869772, Time  0.446101
2021-09-29 03:42:41.490749 : Epoch  6, Batch    357, Loss  0.866989, Average Loss  0.869747, Time  0.455382
2021-09-29 03:42:47.433751 : Epoch  6, Batch    358, Loss  0.877039, Average Loss  0.869784, Time  0.444550
2021-09-29 03:42:53.373827 : Epoch  6, Batch    359, Loss  0.868505, Average Loss  0.869769, Time  0.448954
2021-09-29 03:43:04.838988 : Epoch  6, Batch    360, Loss  0.856510, Average Loss  0.869616, Time  0.446192
2021-09-29 03:47:41.539124 : CheckPoint: Validation Loss  0.00015340, Best Loss  0.00014870
2021-09-29 03:47:47.031074 : Epoch  6, Batch    361, Loss  0.886528, Average Loss  0.869712, Time  0.443240
2021-09-29 03:47:52.472945 : Epoch  6, Batch    362, Loss  0.879158, Average Loss  0.869824, Time  0.443271
2021-09-29 03:47:57.845050 : Epoch  6, Batch    363, Loss  0.870265, Average Loss  0.869853, Time  0.440860
2021-09-29 03:48:03.486042 : Epoch  6, Batch    364, Loss  0.859078, Average Loss  0.869872, Time  0.455873
2021-09-29 03:48:08.948019 : Epoch  6, Batch    365, Loss  0.864765, Average Loss  0.869876, Time  0.444912
2021-09-29 03:48:14.449128 : Epoch  6, Batch    366, Loss  0.883622, Average Loss  0.869941, Time  0.443290
2021-09-29 03:48:19.691375 : Epoch  6, Batch    367, Loss  0.870905, Average Loss  0.869862, Time  0.440579
2021-09-29 03:48:24.970151 : Epoch  6, Batch    368, Loss  0.844648, Average Loss  0.869758, Time  0.440179
2021-09-29 03:48:30.213840 : Epoch  6, Batch    369, Loss  0.878109, Average Loss  0.869839, Time  0.440271
2021-09-29 03:48:35.622732 : Epoch  6, Batch    370, Loss  0.871816, Average Loss  0.869944, Time  0.443770
2021-09-29 03:48:41.042162 : Epoch  6, Batch    371, Loss  0.865555, Average Loss  0.869917, Time  0.442171
2021-09-29 03:48:46.686465 : Epoch  6, Batch    372, Loss  0.867115, Average Loss  0.869904, Time  0.444904
2021-09-29 03:48:52.057740 : Epoch  6, Batch    373, Loss  0.869334, Average Loss  0.869904, Time  0.456870
2021-09-29 03:48:57.481766 : Epoch  6, Batch    374, Loss  0.869572, Average Loss  0.869954, Time  0.440199
2021-09-29 03:49:02.745089 : Epoch  6, Batch    375, Loss  0.873740, Average Loss  0.869950, Time  0.440713
2021-09-29 03:49:08.071403 : Epoch  6, Batch    376, Loss  0.880460, Average Loss  0.870059, Time  0.442650
2021-09-29 03:49:13.362622 : Epoch  6, Batch    377, Loss  0.863417, Average Loss  0.870051, Time  0.441087
2021-09-29 03:49:18.607360 : Epoch  6, Batch    378, Loss  0.875169, Average Loss  0.870104, Time  0.440697
2021-09-29 03:49:23.875986 : Epoch  6, Batch    379, Loss  0.877190, Average Loss  0.870111, Time  0.440001
2021-09-29 03:49:29.121126 : Epoch  6, Batch    380, Loss  0.887185, Average Loss  0.870072, Time  0.440309
2021-09-29 03:49:34.526819 : Epoch  6, Batch    381, Loss  0.873540, Average Loss  0.870104, Time  0.440161
2021-09-29 03:49:39.737703 : Epoch  6, Batch    382, Loss  0.872971, Average Loss  0.870129, Time  0.452933
2021-09-29 03:49:45.121978 : Epoch  6, Batch    383, Loss  0.870858, Average Loss  0.870097, Time  0.440873
2021-09-29 03:49:50.668416 : Epoch  6, Batch    384, Loss  0.864526, Average Loss  0.869997, Time  0.442009
2021-09-29 03:49:55.978925 : Epoch  6, Batch    385, Loss  0.866940, Average Loss  0.869966, Time  0.442153
2021-09-29 03:50:01.503958 : Epoch  6, Batch    386, Loss  0.866936, Average Loss  0.870002, Time  0.444010
2021-09-29 03:50:06.878455 : Epoch  6, Batch    387, Loss  0.876182, Average Loss  0.870102, Time  0.440288
2021-09-29 03:50:12.156610 : Epoch  6, Batch    388, Loss  0.871079, Average Loss  0.870016, Time  0.441123
2021-09-29 03:50:17.746754 : Epoch  6, Batch    389, Loss  0.860767, Average Loss  0.870018, Time  0.442343
2021-09-29 03:50:23.075655 : Epoch  6, Batch    390, Loss  0.882725, Average Loss  0.870095, Time  0.441389
2021-09-29 03:50:28.437304 : Epoch  6, Batch    391, Loss  0.864799, Average Loss  0.870033, Time  0.449306
2021-09-29 03:50:33.779787 : Epoch  6, Batch    392, Loss  0.871612, Average Loss  0.869983, Time  0.443770
2021-09-29 03:50:39.132174 : Epoch  6, Batch    393, Loss  0.876184, Average Loss  0.870054, Time  0.439618
2021-09-29 03:50:44.391572 : Epoch  6, Batch    394, Loss  0.880808, Average Loss  0.870078, Time  0.440963
2021-09-29 03:50:49.681139 : Epoch  6, Batch    395, Loss  0.876510, Average Loss  0.870180, Time  0.442799
2021-09-29 03:50:55.100596 : Epoch  6, Batch    396, Loss  0.877804, Average Loss  0.870225, Time  0.442763
2021-09-29 03:51:00.498188 : Epoch  6, Batch    397, Loss  0.877273, Average Loss  0.870238, Time  0.442469
2021-09-29 03:51:06.002092 : Epoch  6, Batch    398, Loss  0.878243, Average Loss  0.870250, Time  0.442804
2021-09-29 03:51:11.617917 : Epoch  6, Batch    399, Loss  0.872766, Average Loss  0.870266, Time  0.443521
2021-09-29 03:51:17.235188 : Epoch  6, Batch    400, Loss  0.875011, Average Loss  0.870241, Time  0.453017
2021-09-29 03:51:22.721292 : Epoch  6, Batch    401, Loss  0.875387, Average Loss  0.870351, Time  0.443171
2021-09-29 03:51:28.265772 : Epoch  6, Batch    402, Loss  0.866737, Average Loss  0.870316, Time  0.445488
2021-09-29 03:51:33.835324 : Epoch  6, Batch    403, Loss  0.889368, Average Loss  0.870467, Time  0.443746
2021-09-29 03:51:39.450385 : Epoch  6, Batch    404, Loss  0.869251, Average Loss  0.870404, Time  0.444965
2021-09-29 03:51:44.966809 : Epoch  6, Batch    405, Loss  0.878210, Average Loss  0.870419, Time  0.441811
2021-09-29 03:51:50.586985 : Epoch  6, Batch    406, Loss  0.858448, Average Loss  0.870382, Time  0.443454
2021-09-29 03:51:56.236913 : Epoch  6, Batch    407, Loss  0.887245, Average Loss  0.870418, Time  0.445458
2021-09-29 03:52:01.887741 : Epoch  6, Batch    408, Loss  0.876061, Average Loss  0.870454, Time  0.460805
2021-09-29 03:52:07.526610 : Epoch  6, Batch    409, Loss  0.866033, Average Loss  0.870380, Time  0.443485
2021-09-29 03:52:13.034652 : Epoch  6, Batch    410, Loss  0.870816, Average Loss  0.870347, Time  0.443147
2021-09-29 03:52:18.520097 : Epoch  6, Batch    411, Loss  0.862121, Average Loss  0.870268, Time  0.441602
2021-09-29 03:52:23.955392 : Epoch  6, Batch    412, Loss  0.864840, Average Loss  0.870246, Time  0.443655
2021-09-29 03:52:29.592768 : Epoch  6, Batch    413, Loss  0.877226, Average Loss  0.870329, Time  0.443568
2021-09-29 03:52:35.215346 : Epoch  6, Batch    414, Loss  0.870133, Average Loss  0.870263, Time  0.445522
2021-09-29 03:52:40.608980 : Epoch  6, Batch    415, Loss  0.872491, Average Loss  0.870268, Time  0.442202
2021-09-29 03:52:46.012348 : Epoch  6, Batch    416, Loss  0.876742, Average Loss  0.870271, Time  0.441733
2021-09-29 03:52:51.673929 : Epoch  6, Batch    417, Loss  0.862311, Average Loss  0.870242, Time  0.452318
2021-09-29 03:52:57.331619 : Epoch  6, Batch    418, Loss  0.872117, Average Loss  0.870246, Time  0.443493
2021-09-29 03:53:02.981899 : Epoch  6, Batch    419, Loss  0.860046, Average Loss  0.870210, Time  0.442110
2021-09-29 03:53:08.485425 : Epoch  6, Batch    420, Loss  0.873384, Average Loss  0.870190, Time  0.441982
2021-09-29 03:53:14.038826 : Epoch  6, Batch    421, Loss  0.863514, Average Loss  0.870148, Time  0.443740
2021-09-29 03:53:19.701522 : Epoch  6, Batch    422, Loss  0.872700, Average Loss  0.870075, Time  0.442267
2021-09-29 03:53:25.346356 : Epoch  6, Batch    423, Loss  0.866547, Average Loss  0.870043, Time  0.443888
2021-09-29 03:53:31.010065 : Epoch  6, Batch    424, Loss  0.881179, Average Loss  0.870123, Time  0.444029
2021-09-29 03:53:36.693041 : Epoch  6, Batch    425, Loss  0.869487, Average Loss  0.870092, Time  0.458326
2021-09-29 03:53:42.327395 : Epoch  6, Batch    426, Loss  0.855891, Average Loss  0.870097, Time  0.444314
2021-09-29 03:53:48.002390 : Epoch  6, Batch    427, Loss  0.888019, Average Loss  0.870192, Time  0.444532
2021-09-29 03:53:53.616483 : Epoch  6, Batch    428, Loss  0.861657, Average Loss  0.870074, Time  0.443347
2021-09-29 03:53:59.258481 : Epoch  6, Batch    429, Loss  0.864387, Average Loss  0.869987, Time  0.444551
2021-09-29 03:54:04.935940 : Epoch  6, Batch    430, Loss  0.878353, Average Loss  0.870071, Time  0.443530
2021-09-29 03:54:10.448361 : Epoch  6, Batch    431, Loss  0.866221, Average Loss  0.870121, Time  0.444208
2021-09-29 03:54:16.067012 : Epoch  6, Batch    432, Loss  0.853870, Average Loss  0.869998, Time  0.441635
2021-09-29 03:54:21.692758 : Epoch  6, Batch    433, Loss  0.864407, Average Loss  0.870026, Time  0.456271
2021-09-29 03:54:27.354860 : Epoch  6, Batch    434, Loss  0.873307, Average Loss  0.870021, Time  0.444361
2021-09-29 03:54:32.922214 : Epoch  6, Batch    435, Loss  0.869500, Average Loss  0.870006, Time  0.443900
2021-09-29 03:54:38.588744 : Epoch  6, Batch    436, Loss  0.883429, Average Loss  0.870085, Time  0.443679
2021-09-29 03:54:44.289925 : Epoch  6, Batch    437, Loss  0.891389, Average Loss  0.870098, Time  0.443894
2021-09-29 03:54:49.970175 : Epoch  6, Batch    438, Loss  0.865879, Average Loss  0.870101, Time  0.443315
2021-09-29 03:54:55.608717 : Epoch  6, Batch    439, Loss  0.864160, Average Loss  0.870114, Time  0.443599
2021-09-29 03:55:01.195955 : Epoch  6, Batch    440, Loss  0.878723, Average Loss  0.870143, Time  0.442757
2021-09-29 03:55:06.745556 : Epoch  6, Batch    441, Loss  0.860706, Average Loss  0.870164, Time  0.457896
2021-09-29 03:55:12.222366 : Epoch  6, Batch    442, Loss  0.865049, Average Loss  0.870079, Time  0.441500
2021-09-29 03:55:17.871424 : Epoch  6, Batch    443, Loss  0.861734, Average Loss  0.870001, Time  0.443096
2021-09-29 03:55:23.502043 : Epoch  6, Batch    444, Loss  0.861113, Average Loss  0.869978, Time  0.443324
2021-09-29 03:55:29.117956 : Epoch  6, Batch    445, Loss  0.873989, Average Loss  0.869964, Time  0.443259
2021-09-29 03:55:34.784479 : Epoch  6, Batch    446, Loss  0.863367, Average Loss  0.869969, Time  0.443072
2021-09-29 03:55:40.438346 : Epoch  6, Batch    447, Loss  0.864457, Average Loss  0.870065, Time  0.443101
2021-09-29 03:55:46.098671 : Epoch  6, Batch    448, Loss  0.871576, Average Loss  0.870091, Time  0.443935
2021-09-29 03:55:51.770383 : Epoch  6, Batch    449, Loss  0.873383, Average Loss  0.870083, Time  0.457390
2021-09-29 03:55:57.451839 : Epoch  6, Batch    450, Loss  0.867380, Average Loss  0.870165, Time  0.445425
2021-09-29 03:56:02.992941 : Epoch  6, Batch    451, Loss  0.879736, Average Loss  0.870113, Time  0.443160
2021-09-29 03:56:08.425063 : Epoch  6, Batch    452, Loss  0.876526, Average Loss  0.870100, Time  0.443394
2021-09-29 03:56:13.952708 : Epoch  6, Batch    453, Loss  0.872641, Average Loss  0.870045, Time  0.441035
2021-09-29 03:56:19.318568 : Epoch  6, Batch    454, Loss  0.871744, Average Loss  0.870152, Time  0.443253
2021-09-29 03:56:24.976240 : Epoch  6, Batch    455, Loss  0.858329, Average Loss  0.870046, Time  0.442866
2021-09-29 03:56:30.541594 : Epoch  6, Batch    456, Loss  0.877334, Average Loss  0.870077, Time  0.440837
2021-09-29 03:56:35.911192 : Epoch  6, Batch    457, Loss  0.868114, Average Loss  0.870016, Time  0.441334
2021-09-29 03:56:41.353190 : Epoch  6, Batch    458, Loss  0.864760, Average Loss  0.869948, Time  0.457458
2021-09-29 03:56:46.954523 : Epoch  6, Batch    459, Loss  0.868227, Average Loss  0.870014, Time  0.444039
2021-09-29 03:56:52.531948 : Epoch  6, Batch    460, Loss  0.876277, Average Loss  0.870077, Time  0.444366
2021-09-29 04:01:11.140464 : CheckPoint: Validation Loss  0.00015039, Best Loss  0.00014870
2021-09-29 04:01:16.461938 : Epoch  6, Batch    461, Loss  0.888236, Average Loss  0.870186, Time  0.442657
2021-09-29 04:01:22.000349 : Epoch  6, Batch    462, Loss  0.875933, Average Loss  0.870240, Time  0.452792
2021-09-29 04:01:27.521357 : Epoch  6, Batch    463, Loss  0.866184, Average Loss  0.870274, Time  0.444703
2021-09-29 04:01:33.119759 : Epoch  6, Batch    464, Loss  0.864299, Average Loss  0.870182, Time  0.443233
2021-09-29 04:01:38.714064 : Epoch  6, Batch    465, Loss  0.866977, Average Loss  0.870226, Time  0.442947
2021-09-29 04:01:44.253405 : Epoch  6, Batch    466, Loss  0.876932, Average Loss  0.870269, Time  0.443892
2021-09-29 04:01:49.936671 : Epoch  6, Batch    467, Loss  0.868084, Average Loss  0.870296, Time  0.444402
2021-09-29 04:01:55.610024 : Epoch  6, Batch    468, Loss  0.863265, Average Loss  0.870243, Time  0.442199
2021-09-29 04:02:01.317071 : Epoch  6, Batch    469, Loss  0.864559, Average Loss  0.870196, Time  0.444482
2021-09-29 04:02:06.942830 : Epoch  6, Batch    470, Loss  0.881033, Average Loss  0.870266, Time  0.455128
2021-09-29 04:02:12.374270 : Epoch  6, Batch    471, Loss  0.859554, Average Loss  0.870209, Time  0.443953
2021-09-29 04:02:18.024009 : Epoch  6, Batch    472, Loss  0.852553, Average Loss  0.870164, Time  0.441608
2021-09-29 04:02:23.498198 : Epoch  6, Batch    473, Loss  0.873068, Average Loss  0.870173, Time  0.443000
2021-09-29 04:02:28.999450 : Epoch  6, Batch    474, Loss  0.877132, Average Loss  0.870222, Time  0.441601
2021-09-29 04:02:34.560364 : Epoch  6, Batch    475, Loss  0.864319, Average Loss  0.870220, Time  0.442366
2021-09-29 04:02:40.132677 : Epoch  6, Batch    476, Loss  0.864512, Average Loss  0.870257, Time  0.442175
2021-09-29 04:02:45.703386 : Epoch  6, Batch    477, Loss  0.865186, Average Loss  0.870247, Time  0.444189
2021-09-29 04:02:51.332314 : Epoch  6, Batch    478, Loss  0.859550, Average Loss  0.870156, Time  0.444570
2021-09-29 04:02:57.029372 : Epoch  6, Batch    479, Loss  0.868969, Average Loss  0.870208, Time  0.457259
2021-09-29 04:03:02.408019 : Epoch  6, Batch    480, Loss  0.868089, Average Loss  0.870187, Time  0.442142
2021-09-29 04:03:07.974165 : Epoch  6, Batch    481, Loss  0.872611, Average Loss  0.870170, Time  0.445544
2021-09-29 04:03:13.607497 : Epoch  6, Batch    482, Loss  0.871268, Average Loss  0.870221, Time  0.444580
2021-09-29 04:03:19.197714 : Epoch  6, Batch    483, Loss  0.870110, Average Loss  0.870230, Time  0.441664
2021-09-29 04:03:24.649230 : Epoch  6, Batch    484, Loss  0.883800, Average Loss  0.870390, Time  0.442376
2021-09-29 04:03:30.165053 : Epoch  6, Batch    485, Loss  0.879263, Average Loss  0.870420, Time  0.441301
2021-09-29 04:03:35.627694 : Epoch  6, Batch    486, Loss  0.869025, Average Loss  0.870442, Time  0.442591
2021-09-29 04:03:41.211298 : Epoch  6, Batch    487, Loss  0.880372, Average Loss  0.870450, Time  0.441610
2021-09-29 04:03:46.678767 : Epoch  6, Batch    488, Loss  0.873344, Average Loss  0.870482, Time  0.460962
2021-09-29 04:03:52.295608 : Epoch  6, Batch    489, Loss  0.882072, Average Loss  0.870507, Time  0.443343
2021-09-29 04:03:57.979492 : Epoch  6, Batch    490, Loss  0.857526, Average Loss  0.870468, Time  0.441790
2021-09-29 04:04:03.483431 : Epoch  6, Batch    491, Loss  0.852939, Average Loss  0.870314, Time  0.443036
2021-09-29 04:04:09.077732 : Epoch  6, Batch    492, Loss  0.863590, Average Loss  0.870251, Time  0.443062
2021-09-29 04:04:14.561367 : Epoch  6, Batch    493, Loss  0.883893, Average Loss  0.870359, Time  0.441782
2021-09-29 04:04:20.009441 : Epoch  6, Batch    494, Loss  0.864354, Average Loss  0.870328, Time  0.441181
2021-09-29 04:04:25.505757 : Epoch  6, Batch    495, Loss  0.870402, Average Loss  0.870289, Time  0.444959
2021-09-29 04:04:31.016922 : Epoch  6, Batch    496, Loss  0.869044, Average Loss  0.870241, Time  0.441390
2021-09-29 04:04:36.421334 : Epoch  6, Batch    497, Loss  0.856081, Average Loss  0.870161, Time  0.453222
2021-09-29 04:04:42.103419 : Epoch  6, Batch    498, Loss  0.858465, Average Loss  0.870058, Time  0.444348
2021-09-29 04:04:47.568110 : Epoch  6, Batch    499, Loss  0.876789, Average Loss  0.870182, Time  0.444606
2021-09-29 04:04:53.094888 : Epoch  6, Batch    500, Loss  0.861738, Average Loss  0.870169, Time  0.441777
2021-09-29 04:04:58.652373 : Epoch  6, Batch    501, Loss  0.877817, Average Loss  0.870212, Time  0.444904
2021-09-29 04:05:04.214334 : Epoch  6, Batch    502, Loss  0.881841, Average Loss  0.870243, Time  0.444922
2021-09-29 04:05:09.641884 : Epoch  6, Batch    503, Loss  0.875372, Average Loss  0.870262, Time  0.444313
2021-09-29 04:05:15.236131 : Epoch  6, Batch    504, Loss  0.870597, Average Loss  0.870259, Time  0.444966
2021-09-29 04:05:20.975282 : Epoch  6, Batch    505, Loss  0.859080, Average Loss  0.870221, Time  0.457485
2021-09-29 04:05:26.621341 : Epoch  6, Batch    506, Loss  0.867621, Average Loss  0.870223, Time  0.443935
2021-09-29 04:05:32.279047 : Epoch  6, Batch    507, Loss  0.868652, Average Loss  0.870215, Time  0.442759
2021-09-29 04:05:37.814799 : Epoch  6, Batch    508, Loss  0.881661, Average Loss  0.870287, Time  0.442871
2021-09-29 04:05:43.247502 : Epoch  6, Batch    509, Loss  0.859322, Average Loss  0.870266, Time  0.440454
2021-09-29 04:05:48.614081 : Epoch  6, Batch    510, Loss  0.873897, Average Loss  0.870299, Time  0.444119
2021-09-29 04:05:54.124025 : Epoch  6, Batch    511, Loss  0.873978, Average Loss  0.870356, Time  0.443594
2021-09-29 04:05:59.797093 : Epoch  6, Batch    512, Loss  0.854027, Average Loss  0.870328, Time  0.444007
2021-09-29 04:06:05.464791 : Epoch  6, Batch    513, Loss  0.858002, Average Loss  0.870306, Time  0.442874
2021-09-29 04:06:10.855759 : Epoch  6, Batch    514, Loss  0.878900, Average Loss  0.870297, Time  0.457009
2021-09-29 04:06:16.227458 : Epoch  6, Batch    515, Loss  0.877750, Average Loss  0.870341, Time  0.444126
2021-09-29 04:06:21.774062 : Epoch  6, Batch    516, Loss  0.881716, Average Loss  0.870430, Time  0.444337
2021-09-29 04:06:27.440129 : Epoch  6, Batch    517, Loss  0.873930, Average Loss  0.870472, Time  0.444458
2021-09-29 04:06:33.079734 : Epoch  6, Batch    518, Loss  0.865157, Average Loss  0.870435, Time  0.442686
2021-09-29 04:06:38.801897 : Epoch  6, Batch    519, Loss  0.876735, Average Loss  0.870412, Time  0.444050
2021-09-29 04:06:44.435768 : Epoch  6, Batch    520, Loss  0.871917, Average Loss  0.870450, Time  0.444512
2021-09-29 04:06:50.102344 : Epoch  6, Batch    521, Loss  0.856008, Average Loss  0.870420, Time  0.444758
2021-09-29 04:06:55.611124 : Epoch  6, Batch    522, Loss  0.880000, Average Loss  0.870571, Time  0.451465
2021-09-29 04:07:01.340226 : Epoch  6, Batch    523, Loss  0.863126, Average Loss  0.870500, Time  0.444463
2021-09-29 04:07:06.958721 : Epoch  6, Batch    524, Loss  0.853881, Average Loss  0.870401, Time  0.444533
2021-09-29 04:07:12.605009 : Epoch  6, Batch    525, Loss  0.873081, Average Loss  0.870344, Time  0.444681
2021-09-29 04:07:18.156479 : Epoch  6, Batch    526, Loss  0.869113, Average Loss  0.870297, Time  0.443938
2021-09-29 04:07:23.834004 : Epoch  6, Batch    527, Loss  0.848771, Average Loss  0.870093, Time  0.444516
2021-09-29 04:07:29.488460 : Epoch  6, Batch    528, Loss  0.858152, Average Loss  0.870030, Time  0.441437
2021-09-29 04:07:34.912602 : Epoch  6, Batch    529, Loss  0.864633, Average Loss  0.870049, Time  0.443126
2021-09-29 04:07:40.520956 : Epoch  6, Batch    530, Loss  0.872078, Average Loss  0.870001, Time  0.456028
2021-09-29 04:07:46.101835 : Epoch  6, Batch    531, Loss  0.859746, Average Loss  0.869865, Time  0.443465
2021-09-29 04:07:51.445553 : Epoch  6, Batch    532, Loss  0.865965, Average Loss  0.869821, Time  0.441475
2021-09-29 04:07:57.023556 : Epoch  6, Batch    533, Loss  0.883662, Average Loss  0.869892, Time  0.442593
2021-09-29 04:08:02.707679 : Epoch  6, Batch    534, Loss  0.878812, Average Loss  0.869864, Time  0.443768
2021-09-29 04:08:08.378168 : Epoch  6, Batch    535, Loss  0.860636, Average Loss  0.869872, Time  0.444020
2021-09-29 04:08:13.979206 : Epoch  6, Batch    536, Loss  0.857899, Average Loss  0.869890, Time  0.443154
2021-09-29 04:08:19.650338 : Epoch  6, Batch    537, Loss  0.853521, Average Loss  0.869770, Time  0.442441
2021-09-29 04:08:25.073300 : Epoch  6, Batch    538, Loss  0.881581, Average Loss  0.869869, Time  0.441263
2021-09-29 04:08:30.621166 : Epoch  6, Batch    539, Loss  0.877917, Average Loss  0.869854, Time  0.455999
2021-09-29 04:08:36.291812 : Epoch  6, Batch    540, Loss  0.876130, Average Loss  0.869824, Time  0.444020
2021-09-29 04:08:41.746206 : Epoch  6, Batch    541, Loss  0.866424, Average Loss  0.869831, Time  0.441643
2021-09-29 04:08:47.218869 : Epoch  6, Batch    542, Loss  0.870234, Average Loss  0.869906, Time  0.442005
2021-09-29 04:08:52.749045 : Epoch  6, Batch    543, Loss  0.867147, Average Loss  0.869911, Time  0.443677
2021-09-29 04:08:58.437222 : Epoch  6, Batch    544, Loss  0.858728, Average Loss  0.869946, Time  0.443742
2021-09-29 04:09:04.038385 : Epoch  6, Batch    545, Loss  0.864057, Average Loss  0.869916, Time  0.443997
2021-09-29 04:09:09.436531 : Epoch  6, Batch    546, Loss  0.877058, Average Loss  0.869951, Time  0.441243
2021-09-29 04:09:15.102082 : Epoch  6, Batch    547, Loss  0.865545, Average Loss  0.869939, Time  0.444187
2021-09-29 04:09:20.740430 : Epoch  6, Batch    548, Loss  0.870036, Average Loss  0.869974, Time  0.458287
2021-09-29 04:09:26.404747 : Epoch  6, Batch    549, Loss  0.862170, Average Loss  0.869952, Time  0.443219
2021-09-29 04:09:32.113849 : Epoch  6, Batch    550, Loss  0.874995, Average Loss  0.869968, Time  0.444356
2021-09-29 04:09:37.748703 : Epoch  6, Batch    551, Loss  0.891408, Average Loss  0.870044, Time  0.442007
2021-09-29 04:09:43.335392 : Epoch  6, Batch    552, Loss  0.887230, Average Loss  0.870122, Time  0.443334
2021-09-29 04:09:49.018105 : Epoch  6, Batch    553, Loss  0.876593, Average Loss  0.870221, Time  0.443200
2021-09-29 04:09:54.673576 : Epoch  6, Batch    554, Loss  0.875257, Average Loss  0.870283, Time  0.444049
2021-09-29 04:10:00.359647 : Epoch  6, Batch    555, Loss  0.870616, Average Loss  0.870228, Time  0.446189
2021-09-29 04:10:06.023928 : Epoch  6, Batch    556, Loss  0.865051, Average Loss  0.870263, Time  0.459105
2021-09-29 04:10:11.696218 : Epoch  6, Batch    557, Loss  0.862566, Average Loss  0.870241, Time  0.444891
2021-09-29 04:10:17.377688 : Epoch  6, Batch    558, Loss  0.872044, Average Loss  0.870216, Time  0.445099
2021-09-29 04:10:23.031091 : Epoch  6, Batch    559, Loss  0.880205, Average Loss  0.870274, Time  0.445512
2021-09-29 04:10:28.702473 : Epoch  6, Batch    560, Loss  0.875315, Average Loss  0.870368, Time  0.445426
2021-09-29 04:14:49.810442 : CheckPoint: Validation Loss  0.00014987, Best Loss  0.00014870
2021-09-29 04:14:55.326753 : Epoch  6, Batch    561, Loss  0.865052, Average Loss  0.870261, Time  0.441090
2021-09-29 04:15:00.628627 : Epoch  6, Batch    562, Loss  0.846573, Average Loss  0.870098, Time  0.440476
2021-09-29 04:15:06.088720 : Epoch  6, Batch    563, Loss  0.862610, Average Loss  0.870060, Time  0.440703
2021-09-29 04:15:11.414551 : Epoch  6, Batch    564, Loss  0.858389, Average Loss  0.870056, Time  0.440478
2021-09-29 04:15:16.844237 : Epoch  6, Batch    565, Loss  0.867580, Average Loss  0.870070, Time  0.440682
2021-09-29 04:15:22.400017 : Epoch  6, Batch    566, Loss  0.864477, Average Loss  0.869975, Time  0.444012
2021-09-29 04:15:27.924839 : Epoch  6, Batch    567, Loss  0.880418, Average Loss  0.870022, Time  0.443343
2021-09-29 04:15:33.414783 : Epoch  6, Batch    568, Loss  0.869078, Average Loss  0.870144, Time  0.454751
2021-09-29 04:15:39.067819 : Epoch  6, Batch    569, Loss  0.867057, Average Loss  0.870089, Time  0.445236
2021-09-29 04:15:44.995988 : Epoch  6, Batch    570, Loss  0.880372, Average Loss  0.870132, Time  0.444008
2021-09-29 04:15:50.911967 : Epoch  6, Batch    571, Loss  0.875597, Average Loss  0.870182, Time  0.447725
2021-09-29 04:15:56.837126 : Epoch  6, Batch    572, Loss  0.869785, Average Loss  0.870195, Time  0.445540
2021-09-29 04:16:02.753206 : Epoch  6, Batch    573, Loss  0.872505, Average Loss  0.870211, Time  0.444779
2021-09-29 04:16:08.688692 : Epoch  6, Batch    574, Loss  0.878514, Average Loss  0.870256, Time  0.445270
2021-09-29 04:16:14.610431 : Epoch  6, Batch    575, Loss  0.860569, Average Loss  0.870190, Time  0.445132
2021-09-29 04:16:20.540370 : Epoch  6, Batch    576, Loss  0.864096, Average Loss  0.870108, Time  0.460909
2021-09-29 04:16:26.448812 : Epoch  6, Batch    577, Loss  0.856094, Average Loss  0.870072, Time  0.446500
2021-09-29 04:16:32.371932 : Epoch  6, Batch    578, Loss  0.882531, Average Loss  0.870109, Time  0.445408
2021-09-29 04:16:38.295829 : Epoch  6, Batch    579, Loss  0.865451, Average Loss  0.870050, Time  0.444593
2021-09-29 04:16:44.221723 : Epoch  6, Batch    580, Loss  0.865413, Average Loss  0.869941, Time  0.445383
2021-09-29 04:16:50.155406 : Epoch  6, Batch    581, Loss  0.863415, Average Loss  0.869890, Time  0.448031
2021-09-29 04:16:56.081975 : Epoch  6, Batch    582, Loss  0.893183, Average Loss  0.869991, Time  0.446646
2021-09-29 04:17:01.996568 : Epoch  6, Batch    583, Loss  0.883892, Average Loss  0.870057, Time  0.447971
2021-09-29 04:17:07.935398 : Epoch  6, Batch    584, Loss  0.859931, Average Loss  0.870034, Time  0.452624
2021-09-29 04:17:13.863744 : Epoch  6, Batch    585, Loss  0.874595, Average Loss  0.870072, Time  0.444309
2021-09-29 04:17:19.785102 : Epoch  6, Batch    586, Loss  0.881012, Average Loss  0.870142, Time  0.445147
2021-09-29 04:17:25.719794 : Epoch  6, Batch    587, Loss  0.867224, Average Loss  0.870098, Time  0.446012
2021-09-29 04:17:31.668201 : Epoch  6, Batch    588, Loss  0.875626, Average Loss  0.870120, Time  0.446919
2021-09-29 04:17:37.579314 : Epoch  6, Batch    589, Loss  0.870107, Average Loss  0.870167, Time  0.445256
2021-09-29 04:17:43.506873 : Epoch  6, Batch    590, Loss  0.861310, Average Loss  0.870060, Time  0.450453
2021-09-29 04:17:49.439767 : Epoch  6, Batch    591, Loss  0.867432, Average Loss  0.870073, Time  0.445967
2021-09-29 04:17:55.367457 : Epoch  6, Batch    592, Loss  0.862506, Average Loss  0.870027, Time  0.454395
2021-09-29 04:18:01.294962 : Epoch  6, Batch    593, Loss  0.876493, Average Loss  0.870029, Time  0.444584
2021-09-29 04:18:07.211713 : Epoch  6, Batch    594, Loss  0.875009, Average Loss  0.870000, Time  0.446184
2021-09-29 04:18:13.144005 : Epoch  6, Batch    595, Loss  0.853602, Average Loss  0.869886, Time  0.445101
2021-09-29 04:18:19.066496 : Epoch  6, Batch    596, Loss  0.876559, Average Loss  0.869879, Time  0.446278
2021-09-29 04:18:24.986681 : Epoch  6, Batch    597, Loss  0.865232, Average Loss  0.869819, Time  0.446248
2021-09-29 04:18:30.933878 : Epoch  6, Batch    598, Loss  0.867125, Average Loss  0.869763, Time  0.450698
2021-09-29 04:18:36.857780 : Epoch  6, Batch    599, Loss  0.849373, Average Loss  0.869647, Time  0.448160
2021-09-29 04:18:42.792464 : Epoch  6, Batch    600, Loss  0.863511, Average Loss  0.869589, Time  0.457507
2021-09-29 04:18:48.712212 : Epoch  6, Batch    601, Loss  0.878281, Average Loss  0.869603, Time  0.446409
2021-09-29 04:18:54.625256 : Epoch  6, Batch    602, Loss  0.895171, Average Loss  0.869746, Time  0.445174
2021-09-29 04:19:00.553609 : Epoch  6, Batch    603, Loss  0.873738, Average Loss  0.869668, Time  0.444191
2021-09-29 04:19:06.481836 : Epoch  6, Batch    604, Loss  0.857265, Average Loss  0.869608, Time  0.444260
2021-09-29 04:19:12.409144 : Epoch  6, Batch    605, Loss  0.861181, Average Loss  0.869522, Time  0.446810
2021-09-29 04:19:18.323814 : Epoch  6, Batch    606, Loss  0.870571, Average Loss  0.869583, Time  0.446019
2021-09-29 04:19:24.265826 : Epoch  6, Batch    607, Loss  0.865772, Average Loss  0.869476, Time  0.456737
2021-09-29 04:19:30.202715 : Epoch  6, Batch    608, Loss  0.854261, Average Loss  0.869367, Time  0.447823
2021-09-29 04:19:36.165814 : Epoch  6, Batch    609, Loss  0.877832, Average Loss  0.869426, Time  0.445253
2021-09-29 04:19:42.079604 : Epoch  6, Batch    610, Loss  0.881235, Average Loss  0.869478, Time  0.446186
2021-09-29 04:19:47.992843 : Epoch  6, Batch    611, Loss  0.865829, Average Loss  0.869496, Time  0.446426
2021-09-29 04:19:53.923687 : Epoch  6, Batch    612, Loss  0.848950, Average Loss  0.869417, Time  0.445529
2021-09-29 04:19:59.850144 : Epoch  6, Batch    613, Loss  0.870175, Average Loss  0.869382, Time  0.444256
2021-09-29 04:20:05.777821 : Epoch  6, Batch    614, Loss  0.860565, Average Loss  0.869334, Time  0.445452
2021-09-29 04:20:11.707721 : Epoch  6, Batch    615, Loss  0.868095, Average Loss  0.869312, Time  0.457695
2021-09-29 04:20:17.625731 : Epoch  6, Batch    616, Loss  0.876339, Average Loss  0.869310, Time  0.444601
2021-09-29 04:20:23.554398 : Epoch  6, Batch    617, Loss  0.893868, Average Loss  0.869468, Time  0.448029
2021-09-29 04:20:29.484208 : Epoch  6, Batch    618, Loss  0.875066, Average Loss  0.869482, Time  0.447312
2021-09-29 04:20:35.391810 : Epoch  6, Batch    619, Loss  0.868806, Average Loss  0.869526, Time  0.445383
2021-09-29 04:20:41.312234 : Epoch  6, Batch    620, Loss  0.870606, Average Loss  0.869512, Time  0.447446
2021-09-29 04:20:47.243968 : Epoch  6, Batch    621, Loss  0.879086, Average Loss  0.869590, Time  0.448452
2021-09-29 04:20:53.166846 : Epoch  6, Batch    622, Loss  0.861997, Average Loss  0.869537, Time  0.444555
2021-09-29 04:20:59.097920 : Epoch  6, Batch    623, Loss  0.848395, Average Loss  0.869446, Time  0.461210
2021-09-29 04:21:05.017938 : Epoch  6, Batch    624, Loss  0.873205, Average Loss  0.869406, Time  0.445793
2021-09-29 04:21:10.944428 : Epoch  6, Batch    625, Loss  0.870336, Average Loss  0.869410, Time  0.446205
2021-09-29 04:21:16.860563 : Epoch  6, Batch    626, Loss  0.877667, Average Loss  0.869519, Time  0.444065
2021-09-29 04:21:22.797791 : Epoch  6, Batch    627, Loss  0.866035, Average Loss  0.869409, Time  0.449807
2021-09-29 04:21:28.723972 : Epoch  6, Batch    628, Loss  0.883144, Average Loss  0.869517, Time  0.448370
2021-09-29 04:21:34.637902 : Epoch  6, Batch    629, Loss  0.888183, Average Loss  0.869636, Time  0.446783
2021-09-29 04:21:40.570830 : Epoch  6, Batch    630, Loss  0.872934, Average Loss  0.869608, Time  0.445645
2021-09-29 04:21:46.500938 : Epoch  6, Batch    631, Loss  0.860584, Average Loss  0.869580, Time  0.454075
2021-09-29 04:21:52.435013 : Epoch  6, Batch    632, Loss  0.871438, Average Loss  0.869668, Time  0.446285
2021-09-29 04:21:58.362233 : Epoch  6, Batch    633, Loss  0.862276, Average Loss  0.869657, Time  0.444619
2021-09-29 04:22:04.278975 : Epoch  6, Batch    634, Loss  0.878492, Average Loss  0.869683, Time  0.445002
2021-09-29 04:22:10.202778 : Epoch  6, Batch    635, Loss  0.864042, Average Loss  0.869656, Time  0.445741
2021-09-29 04:22:16.131232 : Epoch  6, Batch    636, Loss  0.890031, Average Loss  0.869689, Time  0.445381
2021-09-29 04:22:22.079204 : Epoch  6, Batch    637, Loss  0.874769, Average Loss  0.869606, Time  0.443986
2021-09-29 04:22:28.002938 : Epoch  6, Batch    638, Loss  0.870806, Average Loss  0.869631, Time  0.446658
2021-09-29 04:22:33.945835 : Epoch  6, Batch    639, Loss  0.879503, Average Loss  0.869707, Time  0.456680
2021-09-29 04:22:39.866532 : Epoch  6, Batch    640, Loss  0.880734, Average Loss  0.869717, Time  0.444877
2021-09-29 04:22:45.810748 : Epoch  6, Batch    641, Loss  0.878332, Average Loss  0.869806, Time  0.446058
2021-09-29 04:22:51.740629 : Epoch  6, Batch    642, Loss  0.885902, Average Loss  0.869910, Time  0.445290
2021-09-29 04:22:57.662983 : Epoch  6, Batch    643, Loss  0.866785, Average Loss  0.869935, Time  0.447243
2021-09-29 04:23:03.574888 : Epoch  6, Batch    644, Loss  0.863911, Average Loss  0.869949, Time  0.443993
2021-09-29 04:23:09.497607 : Epoch  6, Batch    645, Loss  0.867560, Average Loss  0.869917, Time  0.445879
2021-09-29 04:23:15.418817 : Epoch  6, Batch    646, Loss  0.862911, Average Loss  0.869915, Time  0.445410
2021-09-29 04:23:21.375846 : Epoch  6, Batch    647, Loss  0.863265, Average Loss  0.869909, Time  0.459408
2021-09-29 04:23:27.292353 : Epoch  6, Batch    648, Loss  0.886718, Average Loss  0.869984, Time  0.444941
2021-09-29 04:23:33.216745 : Epoch  6, Batch    649, Loss  0.871854, Average Loss  0.869977, Time  0.444509
2021-09-29 04:23:39.138844 : Epoch  6, Batch    650, Loss  0.861161, Average Loss  0.869946, Time  0.444888
2021-09-29 04:23:45.082377 : Epoch  6, Batch    651, Loss  0.861918, Average Loss  0.869857, Time  0.445756
2021-09-29 04:23:51.018308 : Epoch  6, Batch    652, Loss  0.882291, Average Loss  0.869885, Time  0.450097
2021-09-29 04:23:56.951800 : Epoch  6, Batch    653, Loss  0.854753, Average Loss  0.869796, Time  0.445569
2021-09-29 04:24:02.893841 : Epoch  6, Batch    654, Loss  0.878356, Average Loss  0.869829, Time  0.446036
2021-09-29 04:24:08.836171 : Epoch  6, Batch    655, Loss  0.871964, Average Loss  0.869897, Time  0.456584
2021-09-29 04:24:14.770696 : Epoch  6, Batch    656, Loss  0.859244, Average Loss  0.869807, Time  0.445898
2021-09-29 04:24:20.686325 : Epoch  6, Batch    657, Loss  0.879239, Average Loss  0.869862, Time  0.444062
2021-09-29 04:24:26.632215 : Epoch  6, Batch    658, Loss  0.862472, Average Loss  0.869851, Time  0.447243
2021-09-29 04:24:32.592334 : Epoch  6, Batch    659, Loss  0.868401, Average Loss  0.869852, Time  0.448104
2021-09-29 04:24:38.522900 : Epoch  6, Batch    660, Loss  0.889935, Average Loss  0.869920, Time  0.444489
2021-09-29 04:29:16.143933 : CheckPoint: Validation Loss  0.00014973, Best Loss  0.00014870
2021-09-29 04:29:22.056737 : Epoch  6, Batch    661, Loss  0.864348, Average Loss  0.869801, Time  0.447160
2021-09-29 04:29:27.991461 : Epoch  6, Batch    662, Loss  0.864792, Average Loss  0.869745, Time  0.460626
2021-09-29 04:29:33.927249 : Epoch  6, Batch    663, Loss  0.867508, Average Loss  0.869752, Time  0.443993
2021-09-29 04:29:39.839250 : Epoch  6, Batch    664, Loss  0.863615, Average Loss  0.869748, Time  0.445213
2021-09-29 04:29:45.752668 : Epoch  6, Batch    665, Loss  0.880766, Average Loss  0.869817, Time  0.444100
2021-09-29 04:29:51.678869 : Epoch  6, Batch    666, Loss  0.870337, Average Loss  0.869784, Time  0.444281
2021-09-29 04:29:57.611940 : Epoch  6, Batch    667, Loss  0.877419, Average Loss  0.869831, Time  0.445345
2021-09-29 04:30:03.523466 : Epoch  6, Batch    668, Loss  0.872081, Average Loss  0.869875, Time  0.445617
2021-09-29 04:30:09.437832 : Epoch  6, Batch    669, Loss  0.869556, Average Loss  0.869900, Time  0.447047
2021-09-29 04:30:15.345811 : Epoch  6, Batch    670, Loss  0.873036, Average Loss  0.869860, Time  0.458426
2021-09-29 04:30:21.262136 : Epoch  6, Batch    671, Loss  0.867080, Average Loss  0.869897, Time  0.445071
2021-09-29 04:30:27.187192 : Epoch  6, Batch    672, Loss  0.877635, Average Loss  0.870023, Time  0.446208
2021-09-29 04:30:33.103802 : Epoch  6, Batch    673, Loss  0.866047, Average Loss  0.869988, Time  0.445073
2021-09-29 04:30:38.997574 : Epoch  6, Batch    674, Loss  0.882869, Average Loss  0.870016, Time  0.444283
2021-09-29 04:30:44.915081 : Epoch  6, Batch    675, Loss  0.875153, Average Loss  0.870071, Time  0.446470
2021-09-29 04:30:50.855777 : Epoch  6, Batch    676, Loss  0.878694, Average Loss  0.870142, Time  0.445320
2021-09-29 04:30:56.767357 : Epoch  6, Batch    677, Loss  0.862698, Average Loss  0.870129, Time  0.444204
2021-09-29 04:31:02.704902 : Epoch  6, Batch    678, Loss  0.862719, Average Loss  0.870145, Time  0.454562
2021-09-29 04:31:08.646870 : Epoch  6, Batch    679, Loss  0.869738, Average Loss  0.870149, Time  0.444835
2021-09-29 04:31:14.583933 : Epoch  6, Batch    680, Loss  0.879861, Average Loss  0.870208, Time  0.447061
2021-09-29 04:31:20.514231 : Epoch  6, Batch    681, Loss  0.863138, Average Loss  0.870160, Time  0.445482
2021-09-29 04:31:26.438145 : Epoch  6, Batch    682, Loss  0.878443, Average Loss  0.870196, Time  0.446263
2021-09-29 04:31:32.354414 : Epoch  6, Batch    683, Loss  0.860344, Average Loss  0.870147, Time  0.445400
2021-09-29 04:31:38.270134 : Epoch  6, Batch    684, Loss  0.867670, Average Loss  0.870067, Time  0.445094
2021-09-29 04:31:44.227682 : Epoch  6, Batch    685, Loss  0.884002, Average Loss  0.870090, Time  0.461581
2021-09-29 04:31:50.156907 : Epoch  6, Batch    686, Loss  0.869419, Average Loss  0.870092, Time  0.445242
2021-09-29 04:31:56.054542 : Epoch  6, Batch    687, Loss  0.875876, Average Loss  0.870070, Time  0.444390
2021-09-29 04:32:01.971334 : Epoch  6, Batch    688, Loss  0.867105, Average Loss  0.870039, Time  0.445860
2021-09-29 04:32:07.901647 : Epoch  6, Batch    689, Loss  0.867979, Average Loss  0.869968, Time  0.447320
2021-09-29 04:32:13.827447 : Epoch  6, Batch    690, Loss  0.868519, Average Loss  0.870023, Time  0.446442
2021-09-29 04:32:19.773045 : Epoch  6, Batch    691, Loss  0.856108, Average Loss  0.870039, Time  0.444367
2021-09-29 04:32:25.692803 : Epoch  6, Batch    692, Loss  0.868645, Average Loss  0.870064, Time  0.446890
2021-09-29 04:32:31.646661 : Epoch  6, Batch    693, Loss  0.864447, Average Loss  0.869967, Time  0.462108
2021-09-29 04:32:37.558968 : Epoch  6, Batch    694, Loss  0.871119, Average Loss  0.870001, Time  0.448650
2021-09-29 04:32:43.497179 : Epoch  6, Batch    695, Loss  0.853017, Average Loss  0.869914, Time  0.447574
2021-09-29 04:32:49.430932 : Epoch  6, Batch    696, Loss  0.868676, Average Loss  0.869912, Time  0.446055
2021-09-29 04:32:55.349286 : Epoch  6, Batch    697, Loss  0.868227, Average Loss  0.869973, Time  0.445231
2021-09-29 04:33:01.261938 : Epoch  6, Batch    698, Loss  0.884589, Average Loss  0.870103, Time  0.445502
2021-09-29 04:33:07.181274 : Epoch  6, Batch    699, Loss  0.884751, Average Loss  0.870143, Time  0.445673
2021-09-29 04:33:13.115348 : Epoch  6, Batch    700, Loss  0.866733, Average Loss  0.870168, Time  0.449563
2021-09-29 04:33:19.046860 : Epoch  6, Batch    701, Loss  0.883482, Average Loss  0.870197, Time  0.460137
2021-09-29 04:33:24.970449 : Epoch  6, Batch    702, Loss  0.866795, Average Loss  0.870121, Time  0.444844
2021-09-29 04:33:30.904155 : Epoch  6, Batch    703, Loss  0.868125, Average Loss  0.870085, Time  0.445368
2021-09-29 04:33:36.833115 : Epoch  6, Batch    704, Loss  0.857460, Average Loss  0.870019, Time  0.444545
2021-09-29 04:33:42.777248 : Epoch  6, Batch    705, Loss  0.870552, Average Loss  0.870077, Time  0.447300
2021-09-29 04:33:48.717747 : Epoch  6, Batch    706, Loss  0.864174, Average Loss  0.870060, Time  0.446771
2021-09-29 04:33:54.664860 : Epoch  6, Batch    707, Loss  0.868372, Average Loss  0.870058, Time  0.449037
2021-09-29 04:34:00.605741 : Epoch  6, Batch    708, Loss  0.856980, Average Loss  0.869935, Time  0.448972
2021-09-29 04:34:06.540984 : Epoch  6, Batch    709, Loss  0.864879, Average Loss  0.869963, Time  0.450981
2021-09-29 04:34:12.458155 : Epoch  6, Batch    710, Loss  0.885613, Average Loss  0.870021, Time  0.445337
2021-09-29 04:34:18.385544 : Epoch  6, Batch    711, Loss  0.879372, Average Loss  0.870048, Time  0.447104
2021-09-29 04:34:24.338331 : Epoch  6, Batch    712, Loss  0.876538, Average Loss  0.870161, Time  0.446246
2021-09-29 04:34:30.276883 : Epoch  6, Batch    713, Loss  0.871371, Average Loss  0.870227, Time  0.445406
2021-09-29 04:34:36.215385 : Epoch  6, Batch    714, Loss  0.869796, Average Loss  0.870182, Time  0.445511
2021-09-29 04:34:42.154820 : Epoch  6, Batch    715, Loss  0.870794, Average Loss  0.870147, Time  0.444588
2021-09-29 04:34:48.087176 : Epoch  6, Batch    716, Loss  0.886675, Average Loss  0.870172, Time  0.450220
2021-09-29 04:34:54.041974 : Epoch  6, Batch    717, Loss  0.867867, Average Loss  0.870142, Time  0.462560
2021-09-29 04:34:59.988885 : Epoch  6, Batch    718, Loss  0.884074, Average Loss  0.870236, Time  0.444258
2021-09-29 04:35:05.920863 : Epoch  6, Batch    719, Loss  0.874610, Average Loss  0.870226, Time  0.445851
2021-09-29 04:35:11.865747 : Epoch  6, Batch    720, Loss  0.873566, Average Loss  0.870234, Time  0.447361
2021-09-29 04:35:17.781750 : Epoch  6, Batch    721, Loss  0.875281, Average Loss  0.870330, Time  0.445431
2021-09-29 04:35:23.700442 : Epoch  6, Batch    722, Loss  0.876485, Average Loss  0.870313, Time  0.444877
2021-09-29 04:35:29.624411 : Epoch  6, Batch    723, Loss  0.880462, Average Loss  0.870399, Time  0.444546
2021-09-29 04:35:35.561934 : Epoch  6, Batch    724, Loss  0.874134, Average Loss  0.870501, Time  0.445100
2021-09-29 04:35:41.515733 : Epoch  6, Batch    725, Loss  0.877034, Average Loss  0.870520, Time  0.460731
2021-09-29 04:35:47.451029 : Epoch  6, Batch    726, Loss  0.863126, Average Loss  0.870490, Time  0.445178
2021-09-29 04:35:53.370292 : Epoch  6, Batch    727, Loss  0.870159, Average Loss  0.870597, Time  0.448022
2021-09-29 04:35:59.305938 : Epoch  6, Batch    728, Loss  0.864083, Average Loss  0.870627, Time  0.448829
2021-09-29 04:36:05.231794 : Epoch  6, Batch    729, Loss  0.870557, Average Loss  0.870657, Time  0.444613
2021-09-29 04:36:11.166944 : Epoch  6, Batch    730, Loss  0.870616, Average Loss  0.870649, Time  0.448722
2021-09-29 04:36:17.100732 : Epoch  6, Batch    731, Loss  0.871544, Average Loss  0.870708, Time  0.447547
2021-09-29 04:36:23.029807 : Epoch  6, Batch    732, Loss  0.869159, Average Loss  0.870724, Time  0.445901
2021-09-29 04:36:28.981235 : Epoch  6, Batch    733, Loss  0.866233, Average Loss  0.870637, Time  0.461353
2021-09-29 04:36:34.915934 : Epoch  6, Batch    734, Loss  0.854748, Average Loss  0.870517, Time  0.445898
2021-09-29 04:36:40.859581 : Epoch  6, Batch    735, Loss  0.867812, Average Loss  0.870553, Time  0.446982
2021-09-29 04:36:46.801607 : Epoch  6, Batch    736, Loss  0.864578, Average Loss  0.870586, Time  0.448509
2021-09-29 04:36:52.729645 : Epoch  6, Batch    737, Loss  0.883131, Average Loss  0.870734, Time  0.445565
2021-09-29 04:36:58.662235 : Epoch  6, Batch    738, Loss  0.887166, Average Loss  0.870762, Time  0.447197
2021-09-29 04:37:04.598979 : Epoch  6, Batch    739, Loss  0.860650, Average Loss  0.870676, Time  0.446975
2021-09-29 04:37:10.527257 : Epoch  6, Batch    740, Loss  0.874809, Average Loss  0.870669, Time  0.446230
2021-09-29 04:37:16.476491 : Epoch  6, Batch    741, Loss  0.867608, Average Loss  0.870675, Time  0.459799
2021-09-29 04:37:22.394848 : Epoch  6, Batch    742, Loss  0.860563, Average Loss  0.870627, Time  0.444635
2021-09-29 04:37:28.306790 : Epoch  6, Batch    743, Loss  0.862707, Average Loss  0.870605, Time  0.445328
2021-09-29 04:37:34.224075 : Epoch  6, Batch    744, Loss  0.874931, Average Loss  0.870686, Time  0.444202
2021-09-29 04:37:40.153988 : Epoch  6, Batch    745, Loss  0.872453, Average Loss  0.870728, Time  0.445495
2021-09-29 04:37:46.068554 : Epoch  6, Batch    746, Loss  0.880009, Average Loss  0.870742, Time  0.444647
2021-09-29 04:37:52.001875 : Epoch  6, Batch    747, Loss  0.868854, Average Loss  0.870759, Time  0.449615
2021-09-29 04:37:57.930314 : Epoch  6, Batch    748, Loss  0.877798, Average Loss  0.870798, Time  0.447024
2021-09-29 04:38:03.859461 : Epoch  6, Batch    749, Loss  0.868425, Average Loss  0.870829, Time  0.452456
2021-09-29 04:38:09.789779 : Epoch  6, Batch    750, Loss  0.846621, Average Loss  0.870687, Time  0.446860
2021-09-29 04:38:15.723255 : Epoch  6, Batch    751, Loss  0.862331, Average Loss  0.870542, Time  0.447029
2021-09-29 04:38:21.662974 : Epoch  6, Batch    752, Loss  0.875589, Average Loss  0.870483, Time  0.446510
2021-09-29 04:38:27.588786 : Epoch  6, Batch    753, Loss  0.852121, Average Loss  0.870361, Time  0.445191
2021-09-29 04:38:33.495901 : Epoch  6, Batch    754, Loss  0.875775, Average Loss  0.870364, Time  0.446453
2021-09-29 04:38:39.426773 : Epoch  6, Batch    755, Loss  0.876046, Average Loss  0.870391, Time  0.445420
2021-09-29 04:38:45.365834 : Epoch  6, Batch    756, Loss  0.870775, Average Loss  0.870419, Time  0.449423
2021-09-29 04:38:51.295817 : Epoch  6, Batch    757, Loss  0.861890, Average Loss  0.870416, Time  0.454161
2021-09-29 04:38:57.226581 : Epoch  6, Batch    758, Loss  0.849167, Average Loss  0.870302, Time  0.445673
2021-09-29 04:39:03.163194 : Epoch  6, Batch    759, Loss  0.881192, Average Loss  0.870307, Time  0.444980
2021-09-29 04:39:09.096121 : Epoch  6, Batch    760, Loss  0.867846, Average Loss  0.870269, Time  0.445339
2021-09-29 04:43:46.751966 : CheckPoint: Validation Loss  0.00015152, Best Loss  0.00014870
2021-09-29 04:43:52.685962 : Epoch  6, Batch    761, Loss  0.868856, Average Loss  0.870288, Time  0.448901
2021-09-29 04:43:58.630029 : Epoch  6, Batch    762, Loss  0.880660, Average Loss  0.870459, Time  0.445366
2021-09-29 04:44:04.563063 : Epoch  6, Batch    763, Loss  0.872502, Average Loss  0.870508, Time  0.447241
2021-09-29 04:44:10.509776 : Epoch  6, Batch    764, Loss  0.875827, Average Loss  0.870595, Time  0.455543
2021-09-29 04:44:16.435818 : Epoch  6, Batch    765, Loss  0.869072, Average Loss  0.870603, Time  0.444573
2021-09-29 04:44:22.358535 : Epoch  6, Batch    766, Loss  0.858561, Average Loss  0.870573, Time  0.445415
2021-09-29 04:44:28.277686 : Epoch  6, Batch    767, Loss  0.875033, Average Loss  0.870546, Time  0.446691
2021-09-29 04:44:34.213835 : Epoch  6, Batch    768, Loss  0.892952, Average Loss  0.870666, Time  0.446021
2021-09-29 04:44:40.144531 : Epoch  6, Batch    769, Loss  0.871787, Average Loss  0.870689, Time  0.445467
2021-09-29 04:44:46.090043 : Epoch  6, Batch    770, Loss  0.867075, Average Loss  0.870623, Time  0.444699
2021-09-29 04:44:52.018698 : Epoch  6, Batch    771, Loss  0.869920, Average Loss  0.870594, Time  0.444564
2021-09-29 04:44:57.978027 : Epoch  6, Batch    772, Loss  0.870045, Average Loss  0.870596, Time  0.454694
2021-09-29 04:45:03.930709 : Epoch  6, Batch    773, Loss  0.869857, Average Loss  0.870583, Time  0.443876
2021-09-29 04:45:09.856516 : Epoch  6, Batch    774, Loss  0.870138, Average Loss  0.870541, Time  0.446995
2021-09-29 04:45:15.792201 : Epoch  6, Batch    775, Loss  0.881502, Average Loss  0.870645, Time  0.448276
2021-09-29 04:45:21.719884 : Epoch  6, Batch    776, Loss  0.852798, Average Loss  0.870589, Time  0.444420
2021-09-29 04:45:27.671910 : Epoch  6, Batch    777, Loss  0.885486, Average Loss  0.870736, Time  0.448522
2021-09-29 04:45:33.621251 : Epoch  6, Batch    778, Loss  0.881691, Average Loss  0.870732, Time  0.445884
2021-09-29 04:45:39.565047 : Epoch  6, Batch    779, Loss  0.879450, Average Loss  0.870802, Time  0.444436
2021-09-29 04:45:45.513844 : Epoch  6, Batch    780, Loss  0.862918, Average Loss  0.870789, Time  0.459600
2021-09-29 04:45:51.453754 : Epoch  6, Batch    781, Loss  0.865981, Average Loss  0.870802, Time  0.446771
2021-09-29 04:45:57.403592 : Epoch  6, Batch    782, Loss  0.864267, Average Loss  0.870657, Time  0.445250
2021-09-29 04:46:03.337375 : Epoch  6, Batch    783, Loss  0.868514, Average Loss  0.870580, Time  0.444343
2021-09-29 04:46:09.278811 : Epoch  6, Batch    784, Loss  0.867813, Average Loss  0.870620, Time  0.445852
2021-09-29 04:46:15.205104 : Epoch  6, Batch    785, Loss  0.883272, Average Loss  0.870663, Time  0.446695
2021-09-29 04:46:21.139917 : Epoch  6, Batch    786, Loss  0.869074, Average Loss  0.870604, Time  0.447681
2021-09-29 04:46:27.068849 : Epoch  6, Batch    787, Loss  0.879956, Average Loss  0.870667, Time  0.447202
2021-09-29 04:46:33.016784 : Epoch  6, Batch    788, Loss  0.879434, Average Loss  0.870686, Time  0.457966
2021-09-29 04:46:38.950970 : Epoch  6, Batch    789, Loss  0.872664, Average Loss  0.870699, Time  0.444262
2021-09-29 04:46:44.866912 : Epoch  6, Batch    790, Loss  0.865152, Average Loss  0.870718, Time  0.448349
2021-09-29 04:46:50.793716 : Epoch  6, Batch    791, Loss  0.857831, Average Loss  0.870670, Time  0.444760
2021-09-29 04:46:56.734281 : Epoch  6, Batch    792, Loss  0.861963, Average Loss  0.870668, Time  0.447054
2021-09-29 04:47:02.682295 : Epoch  6, Batch    793, Loss  0.884994, Average Loss  0.870710, Time  0.449364
2021-09-29 04:47:08.613784 : Epoch  6, Batch    794, Loss  0.856410, Average Loss  0.870617, Time  0.445096
2021-09-29 04:47:14.532225 : Epoch  6, Batch    795, Loss  0.858765, Average Loss  0.870643, Time  0.447302
2021-09-29 04:47:20.479908 : Epoch  6, Batch    796, Loss  0.868109, Average Loss  0.870601, Time  0.458588
2021-09-29 04:47:26.420755 : Epoch  6, Batch    797, Loss  0.865255, Average Loss  0.870601, Time  0.444255
2021-09-29 04:47:32.363841 : Epoch  6, Batch    798, Loss  0.866342, Average Loss  0.870597, Time  0.446385
2021-09-29 04:47:38.301640 : Epoch  6, Batch    799, Loss  0.858883, Average Loss  0.870644, Time  0.446033
2021-09-29 04:47:44.237104 : Epoch  6, Batch    800, Loss  0.868927, Average Loss  0.870671, Time  0.446294
2021-09-29 04:47:50.168298 : Epoch  6, Batch    801, Loss  0.855713, Average Loss  0.870559, Time  0.447170
2021-09-29 04:47:56.109030 : Epoch  6, Batch    802, Loss  0.874915, Average Loss  0.870457, Time  0.446170
2021-09-29 04:48:02.051488 : Epoch  6, Batch    803, Loss  0.876899, Average Loss  0.870473, Time  0.446193
2021-09-29 04:48:08.004505 : Epoch  6, Batch    804, Loss  0.859410, Average Loss  0.870484, Time  0.454589
2021-09-29 04:48:13.917626 : Epoch  6, Batch    805, Loss  0.874705, Average Loss  0.870551, Time  0.445783
2021-09-29 04:48:19.862397 : Epoch  6, Batch    806, Loss  0.879285, Average Loss  0.870595, Time  0.445145
2021-09-29 04:48:25.806370 : Epoch  6, Batch    807, Loss  0.852849, Average Loss  0.870530, Time  0.444990
2021-09-29 04:48:31.757827 : Epoch  6, Batch    808, Loss  0.872813, Average Loss  0.870623, Time  0.444710
2021-09-29 04:48:37.683823 : Epoch  6, Batch    809, Loss  0.889155, Average Loss  0.870680, Time  0.444064
2021-09-29 04:48:43.632317 : Epoch  6, Batch    810, Loss  0.865909, Average Loss  0.870603, Time  0.448910
2021-09-29 04:48:49.557341 : Epoch  6, Batch    811, Loss  0.855787, Average Loss  0.870553, Time  0.445934
2021-09-29 04:48:55.506980 : Epoch  6, Batch    812, Loss  0.871205, Average Loss  0.870664, Time  0.461941
2021-09-29 04:49:01.452538 : Epoch  6, Batch    813, Loss  0.876802, Average Loss  0.870697, Time  0.448352
2021-09-29 04:49:07.406716 : Epoch  6, Batch    814, Loss  0.858550, Average Loss  0.870687, Time  0.446167
2021-09-29 04:49:13.351154 : Epoch  6, Batch    815, Loss  0.861678, Average Loss  0.870655, Time  0.444766
2021-09-29 04:49:19.300747 : Epoch  6, Batch    816, Loss  0.859176, Average Loss  0.870569, Time  0.443810
2021-09-29 04:49:25.232685 : Epoch  6, Batch    817, Loss  0.880677, Average Loss  0.870503, Time  0.444552
2021-09-29 04:49:31.163780 : Epoch  6, Batch    818, Loss  0.854756, Average Loss  0.870402, Time  0.444416
2021-09-29 04:49:37.097766 : Epoch  6, Batch    819, Loss  0.858112, Average Loss  0.870348, Time  0.445321
2021-09-29 04:49:43.043111 : Epoch  6, Batch    820, Loss  0.879313, Average Loss  0.870392, Time  0.458795
2021-09-29 04:49:48.970107 : Epoch  6, Batch    821, Loss  0.872669, Average Loss  0.870360, Time  0.449389
2021-09-29 04:49:54.892474 : Epoch  6, Batch    822, Loss  0.874918, Average Loss  0.870424, Time  0.445911
2021-09-29 04:50:00.836438 : Epoch  6, Batch    823, Loss  0.877319, Average Loss  0.870569, Time  0.446189
2021-09-29 04:50:06.768127 : Epoch  6, Batch    824, Loss  0.867421, Average Loss  0.870540, Time  0.444800
2021-09-29 04:50:12.699326 : Epoch  6, Batch    825, Loss  0.865187, Average Loss  0.870514, Time  0.444062
2021-09-29 04:50:18.626146 : Epoch  6, Batch    826, Loss  0.860704, Average Loss  0.870430, Time  0.444793
2021-09-29 04:50:24.567203 : Epoch  6, Batch    827, Loss  0.862743, Average Loss  0.870413, Time  0.445849
2021-09-29 04:50:30.515786 : Epoch  6, Batch    828, Loss  0.858942, Average Loss  0.870292, Time  0.455898
2021-09-29 04:50:36.451430 : Epoch  6, Batch    829, Loss  0.877270, Average Loss  0.870238, Time  0.446970
2021-09-29 04:50:42.391348 : Epoch  6, Batch    830, Loss  0.868950, Average Loss  0.870218, Time  0.447442
2021-09-29 04:50:48.336990 : Epoch  6, Batch    831, Loss  0.862641, Average Loss  0.870228, Time  0.447890
2021-09-29 04:50:54.281946 : Epoch  6, Batch    832, Loss  0.874329, Average Loss  0.870242, Time  0.447995
2021-09-29 04:51:00.236302 : Epoch  6, Batch    833, Loss  0.873987, Average Loss  0.870301, Time  0.445475
2021-09-29 04:51:06.176654 : Epoch  6, Batch    834, Loss  0.864831, Average Loss  0.870233, Time  0.447484
2021-09-29 04:51:12.110027 : Epoch  6, Batch    835, Loss  0.863351, Average Loss  0.870229, Time  0.446623
2021-09-29 04:51:18.073000 : Epoch  6, Batch    836, Loss  0.859653, Average Loss  0.870077, Time  0.460959
2021-09-29 04:51:24.009395 : Epoch  6, Batch    837, Loss  0.869739, Average Loss  0.870052, Time  0.447454
2021-09-29 04:51:29.952262 : Epoch  6, Batch    838, Loss  0.868670, Average Loss  0.870041, Time  0.444660
2021-09-29 04:51:35.893180 : Epoch  6, Batch    839, Loss  0.869997, Average Loss  0.869994, Time  0.445259
2021-09-29 04:51:41.818774 : Epoch  6, Batch    840, Loss  0.883301, Average Loss  0.870007, Time  0.444438
2021-09-29 04:51:47.758598 : Epoch  6, Batch    841, Loss  0.871831, Average Loss  0.869974, Time  0.444831
2021-09-29 04:51:53.696419 : Epoch  6, Batch    842, Loss  0.868368, Average Loss  0.869887, Time  0.448214
2021-09-29 04:51:59.632543 : Epoch  6, Batch    843, Loss  0.881015, Average Loss  0.869958, Time  0.446784
2021-09-29 04:52:05.577817 : Epoch  6, Batch    844, Loss  0.861439, Average Loss  0.869945, Time  0.457969
2021-09-29 04:52:11.518173 : Epoch  6, Batch    845, Loss  0.861553, Average Loss  0.869915, Time  0.444247
2021-09-29 04:52:17.457217 : Epoch  6, Batch    846, Loss  0.892506, Average Loss  0.870063, Time  0.446128
2021-09-29 04:52:23.401670 : Epoch  6, Batch    847, Loss  0.868025, Average Loss  0.870087, Time  0.445562
2021-09-29 04:52:29.338189 : Epoch  6, Batch    848, Loss  0.862684, Average Loss  0.869967, Time  0.444777
2021-09-29 04:52:35.267878 : Epoch  6, Batch    849, Loss  0.875192, Average Loss  0.869984, Time  0.445315
2021-09-29 04:52:41.212899 : Epoch  6, Batch    850, Loss  0.867413, Average Loss  0.870015, Time  0.445420
2021-09-29 04:52:47.148633 : Epoch  6, Batch    851, Loss  0.873149, Average Loss  0.870071, Time  0.444159
2021-09-29 04:52:53.087007 : Epoch  6, Batch    852, Loss  0.865737, Average Loss  0.869988, Time  0.454937
2021-09-29 04:52:59.030217 : Epoch  6, Batch    853, Loss  0.878510, Average Loss  0.870107, Time  0.446613
2021-09-29 04:53:04.974937 : Epoch  6, Batch    854, Loss  0.864978, Average Loss  0.870040, Time  0.445189
2021-09-29 04:53:10.911750 : Epoch  6, Batch    855, Loss  0.854824, Average Loss  0.869954, Time  0.446003
2021-09-29 04:53:16.854165 : Epoch  6, Batch    856, Loss  0.864585, Average Loss  0.869981, Time  0.447534
2021-09-29 04:53:22.802826 : Epoch  6, Batch    857, Loss  0.870347, Average Loss  0.869937, Time  0.446576
2021-09-29 04:53:28.733397 : Epoch  6, Batch    858, Loss  0.861002, Average Loss  0.869929, Time  0.444037
2021-09-29 04:53:34.665775 : Epoch  6, Batch    859, Loss  0.867550, Average Loss  0.869925, Time  0.444651
2021-09-29 04:53:40.589451 : Epoch  6, Batch    860, Loss  0.861717, Average Loss  0.869784, Time  0.452887
2021-09-29 04:58:16.825785 : CheckPoint: Validation Loss  0.00014936, Best Loss  0.00014870
2021-09-29 04:58:22.741224 : Epoch  6, Batch    861, Loss  0.856969, Average Loss  0.869747, Time  0.446665
2021-09-29 04:58:28.643386 : Epoch  6, Batch    862, Loss  0.871979, Average Loss  0.869783, Time  0.444760
2021-09-29 04:58:34.551497 : Epoch  6, Batch    863, Loss  0.870941, Average Loss  0.869800, Time  0.444240
2021-09-29 04:58:40.471450 : Epoch  6, Batch    864, Loss  0.860102, Average Loss  0.869783, Time  0.449112
2021-09-29 04:58:46.377206 : Epoch  6, Batch    865, Loss  0.873443, Average Loss  0.869746, Time  0.445155
2021-09-29 04:58:52.304743 : Epoch  6, Batch    866, Loss  0.867623, Average Loss  0.869732, Time  0.446884
2021-09-29 04:58:58.226712 : Epoch  6, Batch    867, Loss  0.869795, Average Loss  0.869694, Time  0.447017
2021-09-29 04:59:04.139575 : Epoch  6, Batch    868, Loss  0.869674, Average Loss  0.869682, Time  0.451998
2021-09-29 04:59:10.055616 : Epoch  6, Batch    869, Loss  0.879593, Average Loss  0.869733, Time  0.445401
2021-09-29 04:59:15.967191 : Epoch  6, Batch    870, Loss  0.864845, Average Loss  0.869692, Time  0.444650
2021-09-29 04:59:21.889062 : Epoch  6, Batch    871, Loss  0.861009, Average Loss  0.869661, Time  0.445468
2021-09-29 04:59:27.799231 : Epoch  6, Batch    872, Loss  0.858152, Average Loss  0.869564, Time  0.448074
2021-09-29 04:59:33.728249 : Epoch  6, Batch    873, Loss  0.874255, Average Loss  0.869605, Time  0.449388
2021-09-29 04:59:39.652446 : Epoch  6, Batch    874, Loss  0.867617, Average Loss  0.869529, Time  0.448383
2021-09-29 04:59:45.548256 : Epoch  6, Batch    875, Loss  0.869557, Average Loss  0.869501, Time  0.445273
2021-09-29 04:59:51.475058 : Epoch  6, Batch    876, Loss  0.875443, Average Loss  0.869484, Time  0.460355
2021-09-29 04:59:57.391367 : Epoch  6, Batch    877, Loss  0.884810, Average Loss  0.869595, Time  0.445264
2021-09-29 05:00:03.286790 : Epoch  6, Batch    878, Loss  0.858207, Average Loss  0.869572, Time  0.444638
2021-09-29 05:00:09.215311 : Epoch  6, Batch    879, Loss  0.878684, Average Loss  0.869617, Time  0.447387
2021-09-29 05:00:15.129016 : Epoch  6, Batch    880, Loss  0.872495, Average Loss  0.869580, Time  0.445110
2021-09-29 05:00:21.041012 : Epoch  6, Batch    881, Loss  0.864001, Average Loss  0.869585, Time  0.446025
2021-09-29 05:00:26.956983 : Epoch  6, Batch    882, Loss  0.866812, Average Loss  0.869526, Time  0.445321
2021-09-29 05:00:32.879269 : Epoch  6, Batch    883, Loss  0.865216, Average Loss  0.869551, Time  0.445822
2021-09-29 05:00:38.809503 : Epoch  6, Batch    884, Loss  0.876491, Average Loss  0.869595, Time  0.459858
2021-09-29 05:00:44.707822 : Epoch  6, Batch    885, Loss  0.863910, Average Loss  0.869494, Time  0.445814
2021-09-29 05:00:50.620656 : Epoch  6, Batch    886, Loss  0.880516, Average Loss  0.869550, Time  0.446643
2021-09-29 05:00:56.521835 : Epoch  6, Batch    887, Loss  0.879415, Average Loss  0.869568, Time  0.444251
2021-09-29 05:01:02.432936 : Epoch  6, Batch    888, Loss  0.872331, Average Loss  0.869594, Time  0.447844
2021-09-29 05:01:08.355951 : Epoch  6, Batch    889, Loss  0.877472, Average Loss  0.869641, Time  0.445506
2021-09-29 05:01:14.283858 : Epoch  6, Batch    890, Loss  0.875645, Average Loss  0.869677, Time  0.447771
2021-09-29 05:01:20.224996 : Epoch  6, Batch    891, Loss  0.874759, Average Loss  0.869770, Time  0.460855
2021-09-29 05:01:26.141337 : Epoch  6, Batch    892, Loss  0.875726, Average Loss  0.869805, Time  0.444191
2021-09-29 05:01:32.065837 : Epoch  6, Batch    893, Loss  0.876344, Average Loss  0.869865, Time  0.450776
2021-09-29 05:01:37.968134 : Epoch  6, Batch    894, Loss  0.861760, Average Loss  0.869818, Time  0.444542
2021-09-29 05:01:43.884849 : Epoch  6, Batch    895, Loss  0.878614, Average Loss  0.869946, Time  0.444509
2021-09-29 05:01:49.789785 : Epoch  6, Batch    896, Loss  0.869639, Average Loss  0.869951, Time  0.444618
2021-09-29 05:01:55.710352 : Epoch  6, Batch    897, Loss  0.850067, Average Loss  0.869860, Time  0.445614
2021-09-29 05:02:01.624291 : Epoch  6, Batch    898, Loss  0.882806, Average Loss  0.869851, Time  0.447726
2021-09-29 05:02:07.544359 : Epoch  6, Batch    899, Loss  0.870268, Average Loss  0.869779, Time  0.458257
2021-09-29 05:02:13.446740 : Epoch  6, Batch    900, Loss  0.878963, Average Loss  0.869840, Time  0.447668
2021-09-29 05:02:19.353027 : Epoch  6, Batch    901, Loss  0.870637, Average Loss  0.869776, Time  0.444578
2021-09-29 05:02:25.260913 : Epoch  6, Batch    902, Loss  0.873660, Average Loss  0.869810, Time  0.445822
2021-09-29 05:02:31.156927 : Epoch  6, Batch    903, Loss  0.868750, Average Loss  0.869813, Time  0.446747
2021-09-29 05:02:37.067314 : Epoch  6, Batch    904, Loss  0.868327, Average Loss  0.869868, Time  0.445466
2021-09-29 05:02:42.967834 : Epoch  6, Batch    905, Loss  0.871871, Average Loss  0.869874, Time  0.445036
2021-09-29 05:02:48.893225 : Epoch  6, Batch    906, Loss  0.873458, Average Loss  0.869921, Time  0.445275
2021-09-29 05:02:54.815862 : Epoch  6, Batch    907, Loss  0.870816, Average Loss  0.869933, Time  0.459157
2021-09-29 05:03:00.726124 : Epoch  6, Batch    908, Loss  0.857298, Average Loss  0.869934, Time  0.445168
2021-09-29 05:03:06.633768 : Epoch  6, Batch    909, Loss  0.863281, Average Loss  0.869926, Time  0.447838
2021-09-29 05:03:12.535798 : Epoch  6, Batch    910, Loss  0.874477, Average Loss  0.869871, Time  0.445946
2021-09-29 05:03:18.431668 : Epoch  6, Batch    911, Loss  0.859465, Average Loss  0.869771, Time  0.445495
2021-09-29 05:03:24.325744 : Epoch  6, Batch    912, Loss  0.871689, Average Loss  0.869747, Time  0.446226
2021-09-29 05:03:30.250705 : Epoch  6, Batch    913, Loss  0.863147, Average Loss  0.869706, Time  0.444494
2021-09-29 05:03:36.170345 : Epoch  6, Batch    914, Loss  0.863978, Average Loss  0.869677, Time  0.445421
2021-09-29 05:03:42.096638 : Epoch  6, Batch    915, Loss  0.865970, Average Loss  0.869653, Time  0.461261
2021-09-29 05:03:48.018680 : Epoch  6, Batch    916, Loss  0.876973, Average Loss  0.869604, Time  0.449219
2021-09-29 05:03:53.932049 : Epoch  6, Batch    917, Loss  0.862964, Average Loss  0.869580, Time  0.445618
2021-09-29 05:03:59.838078 : Epoch  6, Batch    918, Loss  0.854977, Average Loss  0.869434, Time  0.446820
2021-09-29 05:04:05.749200 : Epoch  6, Batch    919, Loss  0.868378, Average Loss  0.869403, Time  0.445596
2021-09-29 05:04:11.656429 : Epoch  6, Batch    920, Loss  0.869931, Average Loss  0.869385, Time  0.446854
2021-09-29 05:04:17.560500 : Epoch  6, Batch    921, Loss  0.870798, Average Loss  0.869362, Time  0.443890
2021-09-29 05:04:23.458958 : Epoch  6, Batch    922, Loss  0.886764, Average Loss  0.869414, Time  0.444782
2021-09-29 05:04:29.386876 : Epoch  6, Batch    923, Loss  0.883032, Average Loss  0.869427, Time  0.464660
2021-09-29 05:04:35.304733 : Epoch  6, Batch    924, Loss  0.868979, Average Loss  0.869401, Time  0.445278
2021-09-29 05:04:41.222528 : Epoch  6, Batch    925, Loss  0.861106, Average Loss  0.869321, Time  0.446451
2021-09-29 05:04:47.140983 : Epoch  6, Batch    926, Loss  0.862864, Average Loss  0.869320, Time  0.445871
2021-09-29 05:04:53.060537 : Epoch  6, Batch    927, Loss  0.863915, Average Loss  0.869289, Time  0.445189
2021-09-29 05:04:58.966495 : Epoch  6, Batch    928, Loss  0.866244, Average Loss  0.869299, Time  0.445048
2021-09-29 05:04:58.999955 : Saving Model after 6-th Epoch.
2021-09-29 05:04:59.767639 : Epoch Finished.
2021-09-29 05:05:05.345346 : Batch Shuffled
2021-09-29 05:05:11.238014 : Epoch  7, Batch      1, Loss  0.876141, Average Loss  0.869327, Time  0.446854
2021-09-29 05:05:17.162200 : Epoch  7, Batch      2, Loss  0.866944, Average Loss  0.869309, Time  0.461452
2021-09-29 05:05:23.102702 : Epoch  7, Batch      3, Loss  0.867563, Average Loss  0.869289, Time  0.444785
2021-09-29 05:05:29.019119 : Epoch  7, Batch      4, Loss  0.879172, Average Loss  0.869339, Time  0.444906
2021-09-29 05:05:34.954012 : Epoch  7, Batch      5, Loss  0.869513, Average Loss  0.869356, Time  0.444573
2021-09-29 05:05:40.870133 : Epoch  7, Batch      6, Loss  0.861809, Average Loss  0.869391, Time  0.444449
2021-09-29 05:05:46.794463 : Epoch  7, Batch      7, Loss  0.875393, Average Loss  0.869429, Time  0.445912
2021-09-29 05:05:52.706501 : Epoch  7, Batch      8, Loss  0.870960, Average Loss  0.869461, Time  0.444319
2021-09-29 05:05:58.639357 : Epoch  7, Batch      9, Loss  0.876458, Average Loss  0.869427, Time  0.444457
2021-09-29 05:06:04.561208 : Epoch  7, Batch     10, Loss  0.867144, Average Loss  0.869327, Time  0.455409
2021-09-29 05:06:10.487869 : Epoch  7, Batch     11, Loss  0.874440, Average Loss  0.869396, Time  0.446644
2021-09-29 05:06:16.406654 : Epoch  7, Batch     12, Loss  0.863443, Average Loss  0.869339, Time  0.446215
2021-09-29 05:06:22.351753 : Epoch  7, Batch     13, Loss  0.875818, Average Loss  0.869380, Time  0.448652
2021-09-29 05:06:28.309979 : Epoch  7, Batch     14, Loss  0.878592, Average Loss  0.869471, Time  0.445317
2021-09-29 05:06:34.242907 : Epoch  7, Batch     15, Loss  0.871860, Average Loss  0.869516, Time  0.446625
2021-09-29 05:06:40.170796 : Epoch  7, Batch     16, Loss  0.886357, Average Loss  0.869573, Time  0.446898
2021-09-29 05:06:46.121252 : Epoch  7, Batch     17, Loss  0.870472, Average Loss  0.869564, Time  0.446386
2021-09-29 05:06:52.061595 : Epoch  7, Batch     18, Loss  0.879495, Average Loss  0.869561, Time  0.453066
2021-09-29 05:06:57.997848 : Epoch  7, Batch     19, Loss  0.863762, Average Loss  0.869535, Time  0.444289
2021-09-29 05:07:03.935276 : Epoch  7, Batch     20, Loss  0.877554, Average Loss  0.869534, Time  0.444971
2021-09-29 05:07:09.856879 : Epoch  7, Batch     21, Loss  0.884753, Average Loss  0.869616, Time  0.445622
2021-09-29 05:07:15.809838 : Epoch  7, Batch     22, Loss  0.872322, Average Loss  0.869744, Time  0.444247
2021-09-29 05:07:21.733416 : Epoch  7, Batch     23, Loss  0.873689, Average Loss  0.869801, Time  0.444926
2021-09-29 05:07:27.656744 : Epoch  7, Batch     24, Loss  0.862186, Average Loss  0.869734, Time  0.446019
2021-09-29 05:07:33.581960 : Epoch  7, Batch     25, Loss  0.879341, Average Loss  0.869870, Time  0.447262
2021-09-29 05:07:39.517204 : Epoch  7, Batch     26, Loss  0.883938, Average Loss  0.869911, Time  0.457088
2021-09-29 05:07:45.439330 : Epoch  7, Batch     27, Loss  0.879737, Average Loss  0.869930, Time  0.444940
2021-09-29 05:07:51.370877 : Epoch  7, Batch     28, Loss  0.867027, Average Loss  0.869911, Time  0.444504
2021-09-29 05:07:57.296003 : Epoch  7, Batch     29, Loss  0.876929, Average Loss  0.869986, Time  0.446183
2021-09-29 05:08:03.216859 : Epoch  7, Batch     30, Loss  0.862515, Average Loss  0.870053, Time  0.445275
2021-09-29 05:08:09.139444 : Epoch  7, Batch     31, Loss  0.862461, Average Loss  0.869959, Time  0.443938
2021-09-29 05:08:15.049629 : Epoch  7, Batch     32, Loss  0.864547, Average Loss  0.869943, Time  0.445964
2021-09-29 05:12:52.790989 : CheckPoint: Validation Loss  0.00015188, Best Loss  0.00014870
2021-09-29 05:12:58.728794 : Epoch  7, Batch     33, Loss  0.882618, Average Loss  0.870011, Time  0.462923
2021-09-29 05:13:04.648912 : Epoch  7, Batch     34, Loss  0.868354, Average Loss  0.869950, Time  0.445846
2021-09-29 05:13:10.559427 : Epoch  7, Batch     35, Loss  0.879378, Average Loss  0.869984, Time  0.445058
2021-09-29 05:13:16.465152 : Epoch  7, Batch     36, Loss  0.858719, Average Loss  0.869899, Time  0.444660
2021-09-29 05:13:22.381221 : Epoch  7, Batch     37, Loss  0.870906, Average Loss  0.869908, Time  0.448421
2021-09-29 05:13:28.308841 : Epoch  7, Batch     38, Loss  0.857575, Average Loss  0.869903, Time  0.447453
2021-09-29 05:13:34.231655 : Epoch  7, Batch     39, Loss  0.870958, Average Loss  0.869883, Time  0.444673
2021-09-29 05:13:40.152716 : Epoch  7, Batch     40, Loss  0.869363, Average Loss  0.869765, Time  0.445737
2021-09-29 05:13:46.100575 : Epoch  7, Batch     41, Loss  0.867487, Average Loss  0.869743, Time  0.459342
2021-09-29 05:13:52.050794 : Epoch  7, Batch     42, Loss  0.856512, Average Loss  0.869690, Time  0.450209
2021-09-29 05:13:57.989839 : Epoch  7, Batch     43, Loss  0.861783, Average Loss  0.869650, Time  0.446521
2021-09-29 05:14:03.912383 : Epoch  7, Batch     44, Loss  0.867560, Average Loss  0.869637, Time  0.445916
2021-09-29 05:14:09.845576 : Epoch  7, Batch     45, Loss  0.862651, Average Loss  0.869601, Time  0.445514
2021-09-29 05:14:15.764260 : Epoch  7, Batch     46, Loss  0.878877, Average Loss  0.869645, Time  0.447066
2021-09-29 05:14:21.677427 : Epoch  7, Batch     47, Loss  0.870799, Average Loss  0.869591, Time  0.445662
2021-09-29 05:14:27.610020 : Epoch  7, Batch     48, Loss  0.873770, Average Loss  0.869696, Time  0.445353
2021-09-29 05:14:33.538137 : Epoch  7, Batch     49, Loss  0.871867, Average Loss  0.869628, Time  0.459568
2021-09-29 05:14:39.471631 : Epoch  7, Batch     50, Loss  0.876883, Average Loss  0.869604, Time  0.445518
2021-09-29 05:14:45.402106 : Epoch  7, Batch     51, Loss  0.885753, Average Loss  0.869636, Time  0.444350
2021-09-29 05:14:51.326882 : Epoch  7, Batch     52, Loss  0.857328, Average Loss  0.869608, Time  0.445641
2021-09-29 05:14:57.272282 : Epoch  7, Batch     53, Loss  0.868425, Average Loss  0.869620, Time  0.444443
2021-09-29 05:15:03.190173 : Epoch  7, Batch     54, Loss  0.869800, Average Loss  0.869648, Time  0.445343
2021-09-29 05:15:09.129575 : Epoch  7, Batch     55, Loss  0.866411, Average Loss  0.869637, Time  0.448517
2021-09-29 05:15:15.048521 : Epoch  7, Batch     56, Loss  0.865247, Average Loss  0.869624, Time  0.444346
2021-09-29 05:15:20.997764 : Epoch  7, Batch     57, Loss  0.867389, Average Loss  0.869545, Time  0.461238
2021-09-29 05:15:26.899902 : Epoch  7, Batch     58, Loss  0.865523, Average Loss  0.869527, Time  0.445750
2021-09-29 05:15:32.826072 : Epoch  7, Batch     59, Loss  0.862248, Average Loss  0.869438, Time  0.447810
2021-09-29 05:15:38.767080 : Epoch  7, Batch     60, Loss  0.868705, Average Loss  0.869385, Time  0.445815
2021-09-29 05:15:44.711462 : Epoch  7, Batch     61, Loss  0.866962, Average Loss  0.869356, Time  0.445765
2021-09-29 05:15:50.639985 : Epoch  7, Batch     62, Loss  0.883468, Average Loss  0.869448, Time  0.447912
2021-09-29 05:15:56.557676 : Epoch  7, Batch     63, Loss  0.863522, Average Loss  0.869476, Time  0.444551
2021-09-29 05:16:02.477869 : Epoch  7, Batch     64, Loss  0.869954, Average Loss  0.869516, Time  0.448698
2021-09-29 05:16:08.427052 : Epoch  7, Batch     65, Loss  0.861416, Average Loss  0.869398, Time  0.452528
2021-09-29 05:16:14.362768 : Epoch  7, Batch     66, Loss  0.874125, Average Loss  0.869487, Time  0.446532
2021-09-29 05:16:20.290791 : Epoch  7, Batch     67, Loss  0.869921, Average Loss  0.869543, Time  0.444316
2021-09-29 05:16:26.228915 : Epoch  7, Batch     68, Loss  0.873650, Average Loss  0.869570, Time  0.446624
2021-09-29 05:16:32.171214 : Epoch  7, Batch     69, Loss  0.859803, Average Loss  0.869543, Time  0.447456
2021-09-29 05:16:38.094270 : Epoch  7, Batch     70, Loss  0.876076, Average Loss  0.869592, Time  0.443804
2021-09-29 05:16:44.019516 : Epoch  7, Batch     71, Loss  0.873993, Average Loss  0.869667, Time  0.447338
2021-09-29 05:16:49.952815 : Epoch  7, Batch     72, Loss  0.870974, Average Loss  0.869678, Time  0.446016
2021-09-29 05:16:55.893637 : Epoch  7, Batch     73, Loss  0.863252, Average Loss  0.869715, Time  0.452675
2021-09-29 05:17:01.819995 : Epoch  7, Batch     74, Loss  0.870720, Average Loss  0.869694, Time  0.445411
2021-09-29 05:17:07.737160 : Epoch  7, Batch     75, Loss  0.881863, Average Loss  0.869719, Time  0.445052
2021-09-29 05:17:13.678351 : Epoch  7, Batch     76, Loss  0.857180, Average Loss  0.869708, Time  0.446086
2021-09-29 05:17:19.611127 : Epoch  7, Batch     77, Loss  0.870544, Average Loss  0.869687, Time  0.444507
2021-09-29 05:17:25.537696 : Epoch  7, Batch     78, Loss  0.863813, Average Loss  0.869610, Time  0.446735
2021-09-29 05:17:31.449424 : Epoch  7, Batch     79, Loss  0.870412, Average Loss  0.869698, Time  0.447979
2021-09-29 05:17:37.366211 : Epoch  7, Batch     80, Loss  0.866028, Average Loss  0.869664, Time  0.446161
2021-09-29 05:17:43.282027 : Epoch  7, Batch     81, Loss  0.867690, Average Loss  0.869556, Time  0.456700
2021-09-29 05:17:49.202819 : Epoch  7, Batch     82, Loss  0.873200, Average Loss  0.869593, Time  0.444268
2021-09-29 05:17:55.115827 : Epoch  7, Batch     83, Loss  0.869635, Average Loss  0.869662, Time  0.447297
2021-09-29 05:18:01.034970 : Epoch  7, Batch     84, Loss  0.876486, Average Loss  0.869689, Time  0.445888
2021-09-29 05:18:06.942363 : Epoch  7, Batch     85, Loss  0.864512, Average Loss  0.869627, Time  0.443934
2021-09-29 05:18:12.871293 : Epoch  7, Batch     86, Loss  0.871836, Average Loss  0.869694, Time  0.449106
2021-09-29 05:18:18.786956 : Epoch  7, Batch     87, Loss  0.875441, Average Loss  0.869762, Time  0.446023
2021-09-29 05:18:24.726748 : Epoch  7, Batch     88, Loss  0.870157, Average Loss  0.869817, Time  0.447583
2021-09-29 05:18:30.668505 : Epoch  7, Batch     89, Loss  0.862492, Average Loss  0.869726, Time  0.461668
2021-09-29 05:18:36.579861 : Epoch  7, Batch     90, Loss  0.862601, Average Loss  0.869766, Time  0.446043
2021-09-29 05:18:42.503237 : Epoch  7, Batch     91, Loss  0.872071, Average Loss  0.869835, Time  0.445946
2021-09-29 05:18:48.424831 : Epoch  7, Batch     92, Loss  0.855585, Average Loss  0.869717, Time  0.445115
2021-09-29 05:18:54.362317 : Epoch  7, Batch     93, Loss  0.867325, Average Loss  0.869690, Time  0.445642
2021-09-29 05:19:00.275790 : Epoch  7, Batch     94, Loss  0.877562, Average Loss  0.869703, Time  0.445069
2021-09-29 05:19:06.216507 : Epoch  7, Batch     95, Loss  0.863571, Average Loss  0.869634, Time  0.444882
2021-09-29 05:19:12.144345 : Epoch  7, Batch     96, Loss  0.879176, Average Loss  0.869693, Time  0.444158
2021-09-29 05:19:18.079160 : Epoch  7, Batch     97, Loss  0.876545, Average Loss  0.869750, Time  0.455663
2021-09-29 05:19:23.994836 : Epoch  7, Batch     98, Loss  0.860580, Average Loss  0.869749, Time  0.444995
2021-09-29 05:19:29.918962 : Epoch  7, Batch     99, Loss  0.871690, Average Loss  0.869794, Time  0.448290
2021-09-29 05:19:35.858447 : Epoch  7, Batch    100, Loss  0.878692, Average Loss  0.869893, Time  0.447181
2021-09-29 05:19:41.788294 : Epoch  7, Batch    101, Loss  0.866415, Average Loss  0.869839, Time  0.445004
2021-09-29 05:19:47.716273 : Epoch  7, Batch    102, Loss  0.862687, Average Loss  0.869807, Time  0.444617
2021-09-29 05:19:53.638106 : Epoch  7, Batch    103, Loss  0.862280, Average Loss  0.869806, Time  0.444695
2021-09-29 05:19:59.573621 : Epoch  7, Batch    104, Loss  0.880978, Average Loss  0.869839, Time  0.446418
2021-09-29 05:20:05.501948 : Epoch  7, Batch    105, Loss  0.880832, Average Loss  0.869873, Time  0.457041
2021-09-29 05:20:11.420905 : Epoch  7, Batch    106, Loss  0.849910, Average Loss  0.869798, Time  0.447239
2021-09-29 05:20:17.346036 : Epoch  7, Batch    107, Loss  0.857115, Average Loss  0.869767, Time  0.449100
2021-09-29 05:20:23.284664 : Epoch  7, Batch    108, Loss  0.875455, Average Loss  0.869846, Time  0.444304
2021-09-29 05:20:29.198377 : Epoch  7, Batch    109, Loss  0.886399, Average Loss  0.869930, Time  0.445763
2021-09-29 05:20:35.143226 : Epoch  7, Batch    110, Loss  0.876960, Average Loss  0.869971, Time  0.449346
2021-09-29 05:20:41.054796 : Epoch  7, Batch    111, Loss  0.865933, Average Loss  0.869951, Time  0.448279
2021-09-29 05:20:46.957935 : Epoch  7, Batch    112, Loss  0.866643, Average Loss  0.869867, Time  0.446333
2021-09-29 05:20:52.890378 : Epoch  7, Batch    113, Loss  0.876809, Average Loss  0.869892, Time  0.461329
2021-09-29 05:20:58.812121 : Epoch  7, Batch    114, Loss  0.876985, Average Loss  0.869935, Time  0.444713
2021-09-29 05:21:04.743405 : Epoch  7, Batch    115, Loss  0.857966, Average Loss  0.869820, Time  0.447638
2021-09-29 05:21:10.666797 : Epoch  7, Batch    116, Loss  0.867568, Average Loss  0.869851, Time  0.446380
2021-09-29 05:21:16.593457 : Epoch  7, Batch    117, Loss  0.861067, Average Loss  0.869848, Time  0.446586
2021-09-29 05:21:22.534144 : Epoch  7, Batch    118, Loss  0.872751, Average Loss  0.869750, Time  0.446139
2021-09-29 05:21:28.473193 : Epoch  7, Batch    119, Loss  0.863517, Average Loss  0.869727, Time  0.449048
2021-09-29 05:21:34.439782 : Epoch  7, Batch    120, Loss  0.864619, Average Loss  0.869737, Time  0.458061
2021-09-29 05:21:40.377105 : Epoch  7, Batch    121, Loss  0.866078, Average Loss  0.869691, Time  0.445737
2021-09-29 05:21:46.298882 : Epoch  7, Batch    122, Loss  0.858552, Average Loss  0.869647, Time  0.444281
2021-09-29 05:21:52.225177 : Epoch  7, Batch    123, Loss  0.872175, Average Loss  0.869642, Time  0.444709
2021-09-29 05:21:58.139359 : Epoch  7, Batch    124, Loss  0.876677, Average Loss  0.869697, Time  0.445480
2021-09-29 05:22:04.064183 : Epoch  7, Batch    125, Loss  0.869486, Average Loss  0.869652, Time  0.445663
2021-09-29 05:22:09.980597 : Epoch  7, Batch    126, Loss  0.861544, Average Loss  0.869634, Time  0.445366
2021-09-29 05:22:15.903172 : Epoch  7, Batch    127, Loss  0.862662, Average Loss  0.869674, Time  0.448011
2021-09-29 05:22:21.852009 : Epoch  7, Batch    128, Loss  0.876665, Average Loss  0.869734, Time  0.457758
2021-09-29 05:22:27.768352 : Epoch  7, Batch    129, Loss  0.862996, Average Loss  0.869697, Time  0.444815
2021-09-29 05:22:33.678366 : Epoch  7, Batch    130, Loss  0.871107, Average Loss  0.869748, Time  0.446824
2021-09-29 05:22:39.608468 : Epoch  7, Batch    131, Loss  0.860849, Average Loss  0.869714, Time  0.446100
2021-09-29 05:22:45.547135 : Epoch  7, Batch    132, Loss  0.868462, Average Loss  0.869748, Time  0.445722
2021-09-29 05:27:23.044399 : CheckPoint: Validation Loss  0.00015098, Best Loss  0.00014870
2021-09-29 05:27:28.970918 : Epoch  7, Batch    133, Loss  0.874827, Average Loss  0.869837, Time  0.445969
2021-09-29 05:27:34.893053 : Epoch  7, Batch    134, Loss  0.885427, Average Loss  0.869904, Time  0.444357
2021-09-29 05:27:40.828787 : Epoch  7, Batch    135, Loss  0.874235, Average Loss  0.869921, Time  0.448800
2021-09-29 05:27:46.768384 : Epoch  7, Batch    136, Loss  0.875611, Average Loss  0.869998, Time  0.459297
2021-09-29 05:27:52.695404 : Epoch  7, Batch    137, Loss  0.868622, Average Loss  0.869974, Time  0.444736
2021-09-29 05:27:58.617305 : Epoch  7, Batch    138, Loss  0.877381, Average Loss  0.870023, Time  0.446797
2021-09-29 05:28:04.554187 : Epoch  7, Batch    139, Loss  0.885701, Average Loss  0.870103, Time  0.447001
2021-09-29 05:28:10.467778 : Epoch  7, Batch    140, Loss  0.870099, Average Loss  0.870105, Time  0.445962
2021-09-29 05:28:16.401021 : Epoch  7, Batch    141, Loss  0.874475, Average Loss  0.870079, Time  0.444142
2021-09-29 05:28:22.332866 : Epoch  7, Batch    142, Loss  0.879236, Average Loss  0.870151, Time  0.446097
2021-09-29 05:28:28.264606 : Epoch  7, Batch    143, Loss  0.869709, Average Loss  0.870195, Time  0.455820
2021-09-29 05:28:34.179602 : Epoch  7, Batch    144, Loss  0.874487, Average Loss  0.870276, Time  0.445410
2021-09-29 05:28:40.092248 : Epoch  7, Batch    145, Loss  0.875551, Average Loss  0.870283, Time  0.445092
2021-09-29 05:28:46.018678 : Epoch  7, Batch    146, Loss  0.868329, Average Loss  0.870286, Time  0.446098
2021-09-29 05:28:51.952772 : Epoch  7, Batch    147, Loss  0.853755, Average Loss  0.870207, Time  0.446727
2021-09-29 05:28:57.880740 : Epoch  7, Batch    148, Loss  0.873456, Average Loss  0.870197, Time  0.445883
2021-09-29 05:29:03.792738 : Epoch  7, Batch    149, Loss  0.860917, Average Loss  0.870078, Time  0.444199
2021-09-29 05:29:09.702709 : Epoch  7, Batch    150, Loss  0.874882, Average Loss  0.870161, Time  0.445088
2021-09-29 05:29:15.632651 : Epoch  7, Batch    151, Loss  0.863930, Average Loss  0.870088, Time  0.460049
2021-09-29 05:29:21.547456 : Epoch  7, Batch    152, Loss  0.857273, Average Loss  0.870011, Time  0.443954
2021-09-29 05:29:27.468276 : Epoch  7, Batch    153, Loss  0.885941, Average Loss  0.870121, Time  0.444000
2021-09-29 05:29:33.387673 : Epoch  7, Batch    154, Loss  0.858814, Average Loss  0.870081, Time  0.445385
2021-09-29 05:29:39.287784 : Epoch  7, Batch    155, Loss  0.868898, Average Loss  0.870100, Time  0.444256
2021-09-29 05:29:45.196022 : Epoch  7, Batch    156, Loss  0.874917, Average Loss  0.870092, Time  0.444916
2021-09-29 05:29:51.098432 : Epoch  7, Batch    157, Loss  0.860732, Average Loss  0.870076, Time  0.444636
2021-09-29 05:29:57.022591 : Epoch  7, Batch    158, Loss  0.880716, Average Loss  0.870077, Time  0.445919
2021-09-29 05:30:02.942766 : Epoch  7, Batch    159, Loss  0.859985, Average Loss  0.869980, Time  0.463950
2021-09-29 05:30:08.856255 : Epoch  7, Batch    160, Loss  0.866742, Average Loss  0.869952, Time  0.445319
2021-09-29 05:30:14.778193 : Epoch  7, Batch    161, Loss  0.876997, Average Loss  0.869949, Time  0.444520
2021-09-29 05:30:20.684627 : Epoch  7, Batch    162, Loss  0.856498, Average Loss  0.869854, Time  0.447090
2021-09-29 05:30:26.616362 : Epoch  7, Batch    163, Loss  0.876290, Average Loss  0.869861, Time  0.444685
2021-09-29 05:30:32.537612 : Epoch  7, Batch    164, Loss  0.875042, Average Loss  0.869858, Time  0.447609
2021-09-29 05:30:38.452743 : Epoch  7, Batch    165, Loss  0.864881, Average Loss  0.869801, Time  0.444826
2021-09-29 05:30:44.346846 : Epoch  7, Batch    166, Loss  0.872646, Average Loss  0.869855, Time  0.445529
2021-09-29 05:30:50.290816 : Epoch  7, Batch    167, Loss  0.876483, Average Loss  0.869844, Time  0.456823
2021-09-29 05:30:56.225856 : Epoch  7, Batch    168, Loss  0.877009, Average Loss  0.869881, Time  0.446463
2021-09-29 05:31:02.153031 : Epoch  7, Batch    169, Loss  0.857030, Average Loss  0.869916, Time  0.446761
2021-09-29 05:31:08.078147 : Epoch  7, Batch    170, Loss  0.872699, Average Loss  0.869865, Time  0.445729
2021-09-29 05:31:14.016331 : Epoch  7, Batch    171, Loss  0.868818, Average Loss  0.869858, Time  0.445632
2021-09-29 05:31:19.931349 : Epoch  7, Batch    172, Loss  0.863093, Average Loss  0.869779, Time  0.446645
2021-09-29 05:31:25.884847 : Epoch  7, Batch    173, Loss  0.859150, Average Loss  0.869721, Time  0.445697
2021-09-29 05:31:31.802592 : Epoch  7, Batch    174, Loss  0.873564, Average Loss  0.869721, Time  0.445317
2021-09-29 05:31:37.754845 : Epoch  7, Batch    175, Loss  0.863588, Average Loss  0.869695, Time  0.456850
2021-09-29 05:31:43.663001 : Epoch  7, Batch    176, Loss  0.868440, Average Loss  0.869696, Time  0.445469
2021-09-29 05:31:49.609533 : Epoch  7, Batch    177, Loss  0.878157, Average Loss  0.869727, Time  0.448167
2021-09-29 05:31:55.539976 : Epoch  7, Batch    178, Loss  0.862918, Average Loss  0.869674, Time  0.445352
2021-09-29 05:32:01.457842 : Epoch  7, Batch    179, Loss  0.860222, Average Loss  0.869621, Time  0.446761
2021-09-29 05:32:07.395191 : Epoch  7, Batch    180, Loss  0.864186, Average Loss  0.869656, Time  0.446095
2021-09-29 05:32:13.330870 : Epoch  7, Batch    181, Loss  0.875222, Average Loss  0.869716, Time  0.446178
2021-09-29 05:32:19.257253 : Epoch  7, Batch    182, Loss  0.870856, Average Loss  0.869697, Time  0.454723
2021-09-29 05:32:25.175760 : Epoch  7, Batch    183, Loss  0.865080, Average Loss  0.869726, Time  0.446100
2021-09-29 05:32:31.111001 : Epoch  7, Batch    184, Loss  0.878928, Average Loss  0.869762, Time  0.448166
2021-09-29 05:32:37.030817 : Epoch  7, Batch    185, Loss  0.859951, Average Loss  0.869746, Time  0.444192
2021-09-29 05:32:42.949880 : Epoch  7, Batch    186, Loss  0.862915, Average Loss  0.869740, Time  0.447211
2021-09-29 05:32:48.872775 : Epoch  7, Batch    187, Loss  0.890257, Average Loss  0.869862, Time  0.444903
2021-09-29 05:32:54.795146 : Epoch  7, Batch    188, Loss  0.867255, Average Loss  0.869813, Time  0.444042
2021-09-29 05:33:00.726118 : Epoch  7, Batch    189, Loss  0.868849, Average Loss  0.869843, Time  0.444608
2021-09-29 05:33:06.663277 : Epoch  7, Batch    190, Loss  0.873131, Average Loss  0.869934, Time  0.457074
2021-09-29 05:33:12.588756 : Epoch  7, Batch    191, Loss  0.880337, Average Loss  0.869993, Time  0.445777
2021-09-29 05:33:18.501867 : Epoch  7, Batch    192, Loss  0.870168, Average Loss  0.869994, Time  0.445183
2021-09-29 05:33:24.440762 : Epoch  7, Batch    193, Loss  0.867787, Average Loss  0.869979, Time  0.444655
2021-09-29 05:33:30.378236 : Epoch  7, Batch    194, Loss  0.869517, Average Loss  0.869893, Time  0.444324
2021-09-29 05:33:36.295100 : Epoch  7, Batch    195, Loss  0.865335, Average Loss  0.869805, Time  0.445544
2021-09-29 05:33:42.206879 : Epoch  7, Batch    196, Loss  0.871871, Average Loss  0.869819, Time  0.446196
2021-09-29 05:33:48.153073 : Epoch  7, Batch    197, Loss  0.877580, Average Loss  0.869902, Time  0.445739
2021-09-29 05:33:54.087090 : Epoch  7, Batch    198, Loss  0.881853, Average Loss  0.869996, Time  0.459929
2021-09-29 05:34:00.003499 : Epoch  7, Batch    199, Loss  0.874224, Average Loss  0.870048, Time  0.445801
2021-09-29 05:34:05.896264 : Epoch  7, Batch    200, Loss  0.857502, Average Loss  0.870004, Time  0.445381
2021-09-29 05:34:11.818675 : Epoch  7, Batch    201, Loss  0.856391, Average Loss  0.869906, Time  0.445893
2021-09-29 05:34:17.732503 : Epoch  7, Batch    202, Loss  0.844795, Average Loss  0.869795, Time  0.445248
2021-09-29 05:34:23.644639 : Epoch  7, Batch    203, Loss  0.866030, Average Loss  0.869787, Time  0.444133
2021-09-29 05:34:29.572832 : Epoch  7, Batch    204, Loss  0.866809, Average Loss  0.869725, Time  0.446032
2021-09-29 05:34:35.483140 : Epoch  7, Batch    205, Loss  0.877924, Average Loss  0.869767, Time  0.444398
2021-09-29 05:34:41.426836 : Epoch  7, Batch    206, Loss  0.881209, Average Loss  0.869864, Time  0.458454
2021-09-29 05:34:47.357424 : Epoch  7, Batch    207, Loss  0.871640, Average Loss  0.869846, Time  0.446275
2021-09-29 05:34:53.288814 : Epoch  7, Batch    208, Loss  0.856329, Average Loss  0.869772, Time  0.446373
2021-09-29 05:34:59.190049 : Epoch  7, Batch    209, Loss  0.874001, Average Loss  0.869760, Time  0.444095
2021-09-29 05:35:05.115019 : Epoch  7, Batch    210, Loss  0.865088, Average Loss  0.869750, Time  0.449769
2021-09-29 05:35:11.022820 : Epoch  7, Batch    211, Loss  0.863197, Average Loss  0.869694, Time  0.446246
2021-09-29 05:35:16.940829 : Epoch  7, Batch    212, Loss  0.879217, Average Loss  0.869773, Time  0.444112
2021-09-29 05:35:22.871503 : Epoch  7, Batch    213, Loss  0.865370, Average Loss  0.869720, Time  0.446175
2021-09-29 05:35:28.818862 : Epoch  7, Batch    214, Loss  0.879184, Average Loss  0.869723, Time  0.460093
2021-09-29 05:35:34.746423 : Epoch  7, Batch    215, Loss  0.861309, Average Loss  0.869671, Time  0.445790
2021-09-29 05:35:40.689040 : Epoch  7, Batch    216, Loss  0.875001, Average Loss  0.869614, Time  0.444304
2021-09-29 05:35:46.602319 : Epoch  7, Batch    217, Loss  0.875312, Average Loss  0.869638, Time  0.443839
2021-09-29 05:35:52.515893 : Epoch  7, Batch    218, Loss  0.857571, Average Loss  0.869528, Time  0.446942
2021-09-29 05:35:58.416093 : Epoch  7, Batch    219, Loss  0.858976, Average Loss  0.869504, Time  0.443775
2021-09-29 05:36:04.340107 : Epoch  7, Batch    220, Loss  0.867821, Average Loss  0.869456, Time  0.444498
2021-09-29 05:36:10.270623 : Epoch  7, Batch    221, Loss  0.859121, Average Loss  0.869328, Time  0.445083
2021-09-29 05:36:16.208774 : Epoch  7, Batch    222, Loss  0.848928, Average Loss  0.869211, Time  0.456517
2021-09-29 05:36:22.110566 : Epoch  7, Batch    223, Loss  0.869434, Average Loss  0.869189, Time  0.445053
2021-09-29 05:36:28.033811 : Epoch  7, Batch    224, Loss  0.859248, Average Loss  0.869175, Time  0.445691
2021-09-29 05:36:33.953462 : Epoch  7, Batch    225, Loss  0.867990, Average Loss  0.869118, Time  0.445338
2021-09-29 05:36:39.879422 : Epoch  7, Batch    226, Loss  0.862171, Average Loss  0.869009, Time  0.446192
2021-09-29 05:36:45.814796 : Epoch  7, Batch    227, Loss  0.877239, Average Loss  0.868997, Time  0.444799
2021-09-29 05:36:51.737764 : Epoch  7, Batch    228, Loss  0.873946, Average Loss  0.869031, Time  0.445310
2021-09-29 05:36:57.671241 : Epoch  7, Batch    229, Loss  0.851446, Average Loss  0.868904, Time  0.446341
2021-09-29 05:37:03.602900 : Epoch  7, Batch    230, Loss  0.882371, Average Loss  0.869003, Time  0.460196
2021-09-29 05:37:09.527410 : Epoch  7, Batch    231, Loss  0.871657, Average Loss  0.869049, Time  0.445896
2021-09-29 05:37:15.456398 : Epoch  7, Batch    232, Loss  0.871677, Average Loss  0.869085, Time  0.446599
2021-09-29 05:41:52.028462 : CheckPoint: Validation Loss  0.00015217, Best Loss  0.00014870
2021-09-29 05:41:57.913630 : Epoch  7, Batch    233, Loss  0.867954, Average Loss  0.869011, Time  0.444830
2021-09-29 05:42:03.841851 : Epoch  7, Batch    234, Loss  0.870602, Average Loss  0.869023, Time  0.446248
2021-09-29 05:42:09.759625 : Epoch  7, Batch    235, Loss  0.867723, Average Loss  0.868964, Time  0.445636
2021-09-29 05:42:15.666544 : Epoch  7, Batch    236, Loss  0.855646, Average Loss  0.868949, Time  0.452535
2021-09-29 05:42:21.590563 : Epoch  7, Batch    237, Loss  0.875837, Average Loss  0.868974, Time  0.445317
2021-09-29 05:42:27.527229 : Epoch  7, Batch    238, Loss  0.866779, Average Loss  0.869020, Time  0.454857
2021-09-29 05:42:33.431062 : Epoch  7, Batch    239, Loss  0.873559, Average Loss  0.869033, Time  0.446494
2021-09-29 05:42:39.366894 : Epoch  7, Batch    240, Loss  0.880371, Average Loss  0.869088, Time  0.445727
2021-09-29 05:42:45.298718 : Epoch  7, Batch    241, Loss  0.872577, Average Loss  0.869113, Time  0.445286
2021-09-29 05:42:51.213679 : Epoch  7, Batch    242, Loss  0.876846, Average Loss  0.869215, Time  0.444451
2021-09-29 05:42:57.138378 : Epoch  7, Batch    243, Loss  0.882798, Average Loss  0.869320, Time  0.444667
2021-09-29 05:43:03.056446 : Epoch  7, Batch    244, Loss  0.867625, Average Loss  0.869320, Time  0.451860
2021-09-29 05:43:08.965525 : Epoch  7, Batch    245, Loss  0.877668, Average Loss  0.869395, Time  0.445803
2021-09-29 05:43:14.888843 : Epoch  7, Batch    246, Loss  0.869989, Average Loss  0.869351, Time  0.461547
2021-09-29 05:43:20.791403 : Epoch  7, Batch    247, Loss  0.858841, Average Loss  0.869291, Time  0.445577
2021-09-29 05:43:26.720859 : Epoch  7, Batch    248, Loss  0.864299, Average Loss  0.869244, Time  0.445125
2021-09-29 05:43:32.635448 : Epoch  7, Batch    249, Loss  0.864209, Average Loss  0.869205, Time  0.448898
2021-09-29 05:43:38.547820 : Epoch  7, Batch    250, Loss  0.871466, Average Loss  0.869178, Time  0.446083
2021-09-29 05:43:44.474769 : Epoch  7, Batch    251, Loss  0.884178, Average Loss  0.869170, Time  0.445192
2021-09-29 05:43:50.399047 : Epoch  7, Batch    252, Loss  0.872482, Average Loss  0.869246, Time  0.448083
2021-09-29 05:43:56.345897 : Epoch  7, Batch    253, Loss  0.873889, Average Loss  0.869274, Time  0.464831
2021-09-29 05:44:02.259761 : Epoch  7, Batch    254, Loss  0.868114, Average Loss  0.869265, Time  0.445407
2021-09-29 05:44:08.196728 : Epoch  7, Batch    255, Loss  0.870084, Average Loss  0.869283, Time  0.445237
2021-09-29 05:44:14.121601 : Epoch  7, Batch    256, Loss  0.865925, Average Loss  0.869287, Time  0.447464
2021-09-29 05:44:20.048814 : Epoch  7, Batch    257, Loss  0.866665, Average Loss  0.869283, Time  0.445148
2021-09-29 05:44:25.958580 : Epoch  7, Batch    258, Loss  0.868078, Average Loss  0.869296, Time  0.447797
2021-09-29 05:44:31.898869 : Epoch  7, Batch    259, Loss  0.879909, Average Loss  0.869384, Time  0.446800
2021-09-29 05:44:37.798989 : Epoch  7, Batch    260, Loss  0.879871, Average Loss  0.869440, Time  0.445832
2021-09-29 05:44:43.724035 : Epoch  7, Batch    261, Loss  0.877572, Average Loss  0.869493, Time  0.456112
2021-09-29 05:44:49.633751 : Epoch  7, Batch    262, Loss  0.887432, Average Loss  0.869513, Time  0.444449
2021-09-29 05:44:55.557330 : Epoch  7, Batch    263, Loss  0.874396, Average Loss  0.869567, Time  0.446484
2021-09-29 05:45:01.459029 : Epoch  7, Batch    264, Loss  0.865288, Average Loss  0.869544, Time  0.445508
2021-09-29 05:45:07.383422 : Epoch  7, Batch    265, Loss  0.873298, Average Loss  0.869603, Time  0.445777
2021-09-29 05:45:13.291452 : Epoch  7, Batch    266, Loss  0.867056, Average Loss  0.869568, Time  0.445090
2021-09-29 05:45:19.203820 : Epoch  7, Batch    267, Loss  0.867266, Average Loss  0.869555, Time  0.444553
2021-09-29 05:45:25.119419 : Epoch  7, Batch    268, Loss  0.866553, Average Loss  0.869519, Time  0.445334
2021-09-29 05:45:31.047742 : Epoch  7, Batch    269, Loss  0.866680, Average Loss  0.869554, Time  0.456322
2021-09-29 05:45:36.967795 : Epoch  7, Batch    270, Loss  0.861166, Average Loss  0.869479, Time  0.445782
2021-09-29 05:45:42.882067 : Epoch  7, Batch    271, Loss  0.858968, Average Loss  0.869404, Time  0.444983
2021-09-29 05:45:48.808621 : Epoch  7, Batch    272, Loss  0.871629, Average Loss  0.869407, Time  0.445920
2021-09-29 05:45:54.716014 : Epoch  7, Batch    273, Loss  0.880829, Average Loss  0.869495, Time  0.446012
2021-09-29 05:46:00.630375 : Epoch  7, Batch    274, Loss  0.859340, Average Loss  0.869438, Time  0.446520
2021-09-29 05:46:06.557067 : Epoch  7, Batch    275, Loss  0.868328, Average Loss  0.869371, Time  0.451378
2021-09-29 05:46:12.490302 : Epoch  7, Batch    276, Loss  0.881801, Average Loss  0.869494, Time  0.444839
2021-09-29 05:46:18.410578 : Epoch  7, Batch    277, Loss  0.872931, Average Loss  0.869506, Time  0.460418
2021-09-29 05:46:24.316804 : Epoch  7, Batch    278, Loss  0.877701, Average Loss  0.869575, Time  0.446508
2021-09-29 05:46:30.240924 : Epoch  7, Batch    279, Loss  0.858117, Average Loss  0.869514, Time  0.444296
2021-09-29 05:46:36.153876 : Epoch  7, Batch    280, Loss  0.870929, Average Loss  0.869538, Time  0.445957
2021-09-29 05:46:42.070432 : Epoch  7, Batch    281, Loss  0.878275, Average Loss  0.869591, Time  0.447899
2021-09-29 05:46:47.986826 : Epoch  7, Batch    282, Loss  0.873092, Average Loss  0.869591, Time  0.446077
2021-09-29 05:46:53.900526 : Epoch  7, Batch    283, Loss  0.874452, Average Loss  0.869615, Time  0.448205
2021-09-29 05:46:59.825359 : Epoch  7, Batch    284, Loss  0.875627, Average Loss  0.869610, Time  0.445634
2021-09-29 05:47:05.743804 : Epoch  7, Batch    285, Loss  0.867752, Average Loss  0.869627, Time  0.457464
2021-09-29 05:47:11.655977 : Epoch  7, Batch    286, Loss  0.895775, Average Loss  0.869746, Time  0.444854
2021-09-29 05:47:17.582766 : Epoch  7, Batch    287, Loss  0.863452, Average Loss  0.869686, Time  0.447889
2021-09-29 05:47:23.505789 : Epoch  7, Batch    288, Loss  0.862555, Average Loss  0.869648, Time  0.448833
2021-09-29 05:47:29.406142 : Epoch  7, Batch    289, Loss  0.873648, Average Loss  0.869704, Time  0.444553
2021-09-29 05:47:35.315315 : Epoch  7, Batch    290, Loss  0.880915, Average Loss  0.869796, Time  0.445738
2021-09-29 05:47:41.213943 : Epoch  7, Batch    291, Loss  0.878114, Average Loss  0.869826, Time  0.445463
2021-09-29 05:47:47.122348 : Epoch  7, Batch    292, Loss  0.871536, Average Loss  0.869906, Time  0.444026
2021-09-29 05:47:53.050820 : Epoch  7, Batch    293, Loss  0.875915, Average Loss  0.869949, Time  0.457240
2021-09-29 05:47:58.957847 : Epoch  7, Batch    294, Loss  0.856909, Average Loss  0.869845, Time  0.445914
2021-09-29 05:48:04.887807 : Epoch  7, Batch    295, Loss  0.864137, Average Loss  0.869848, Time  0.445456
2021-09-29 05:48:10.800790 : Epoch  7, Batch    296, Loss  0.869789, Average Loss  0.869801, Time  0.445595
2021-09-29 05:48:16.699681 : Epoch  7, Batch    297, Loss  0.862767, Average Loss  0.869732, Time  0.445630
2021-09-29 05:48:22.607409 : Epoch  7, Batch    298, Loss  0.892609, Average Loss  0.869892, Time  0.445441
2021-09-29 05:48:28.501150 : Epoch  7, Batch    299, Loss  0.880039, Average Loss  0.869934, Time  0.444196
2021-09-29 05:48:34.406668 : Epoch  7, Batch    300, Loss  0.870851, Average Loss  0.869895, Time  0.445562
2021-09-29 05:48:40.333474 : Epoch  7, Batch    301, Loss  0.859853, Average Loss  0.869862, Time  0.457653
2021-09-29 05:48:46.236113 : Epoch  7, Batch    302, Loss  0.858543, Average Loss  0.869841, Time  0.444341
2021-09-29 05:48:52.148807 : Epoch  7, Batch    303, Loss  0.872071, Average Loss  0.869890, Time  0.447726
2021-09-29 05:48:58.056826 : Epoch  7, Batch    304, Loss  0.881467, Average Loss  0.869893, Time  0.445726
2021-09-29 05:49:03.962176 : Epoch  7, Batch    305, Loss  0.875404, Average Loss  0.869866, Time  0.447554
2021-09-29 05:49:09.883142 : Epoch  7, Batch    306, Loss  0.871789, Average Loss  0.869975, Time  0.446016
2021-09-29 05:49:15.802454 : Epoch  7, Batch    307, Loss  0.882302, Average Loss  0.870101, Time  0.444000
2021-09-29 05:49:21.728216 : Epoch  7, Batch    308, Loss  0.861826, Average Loss  0.870033, Time  0.444773
2021-09-29 05:49:27.649136 : Epoch  7, Batch    309, Loss  0.869717, Average Loss  0.869949, Time  0.457124
2021-09-29 05:49:33.550834 : Epoch  7, Batch    310, Loss  0.862633, Average Loss  0.869878, Time  0.444544
2021-09-29 05:49:39.446798 : Epoch  7, Batch    311, Loss  0.868037, Average Loss  0.869888, Time  0.446429
2021-09-29 05:49:45.357881 : Epoch  7, Batch    312, Loss  0.870423, Average Loss  0.869907, Time  0.445326
2021-09-29 05:49:51.264481 : Epoch  7, Batch    313, Loss  0.867791, Average Loss  0.869862, Time  0.445865
2021-09-29 05:49:57.173259 : Epoch  7, Batch    314, Loss  0.894724, Average Loss  0.869951, Time  0.447853
2021-09-29 05:50:03.091569 : Epoch  7, Batch    315, Loss  0.878153, Average Loss  0.870052, Time  0.445125
2021-09-29 05:50:09.007980 : Epoch  7, Batch    316, Loss  0.868960, Average Loss  0.870059, Time  0.446034
2021-09-29 05:50:14.916119 : Epoch  7, Batch    317, Loss  0.858279, Average Loss  0.870045, Time  0.457572
2021-09-29 05:50:20.837974 : Epoch  7, Batch    318, Loss  0.874173, Average Loss  0.870052, Time  0.445089
2021-09-29 05:50:26.757244 : Epoch  7, Batch    319, Loss  0.867026, Average Loss  0.870069, Time  0.444803
2021-09-29 05:50:32.669621 : Epoch  7, Batch    320, Loss  0.878913, Average Loss  0.870141, Time  0.447210
2021-09-29 05:50:38.588465 : Epoch  7, Batch    321, Loss  0.882214, Average Loss  0.870222, Time  0.448555
2021-09-29 05:50:44.504842 : Epoch  7, Batch    322, Loss  0.867737, Average Loss  0.870268, Time  0.445313
2021-09-29 05:50:50.423578 : Epoch  7, Batch    323, Loss  0.871211, Average Loss  0.870263, Time  0.447267
2021-09-29 05:50:56.346836 : Epoch  7, Batch    324, Loss  0.854545, Average Loss  0.870152, Time  0.458652
2021-09-29 05:51:02.271837 : Epoch  7, Batch    325, Loss  0.881709, Average Loss  0.870213, Time  0.444299
2021-09-29 05:51:08.178475 : Epoch  7, Batch    326, Loss  0.875832, Average Loss  0.870285, Time  0.444510
2021-09-29 05:51:14.102503 : Epoch  7, Batch    327, Loss  0.881586, Average Loss  0.870379, Time  0.447059
2021-09-29 05:51:20.023632 : Epoch  7, Batch    328, Loss  0.884310, Average Loss  0.870417, Time  0.449937
2021-09-29 05:51:25.935730 : Epoch  7, Batch    329, Loss  0.877047, Average Loss  0.870488, Time  0.445895
2021-09-29 05:51:31.833154 : Epoch  7, Batch    330, Loss  0.868904, Average Loss  0.870477, Time  0.446213
2021-09-29 05:51:37.731389 : Epoch  7, Batch    331, Loss  0.852552, Average Loss  0.870435, Time  0.447998
2021-09-29 05:51:43.652953 : Epoch  7, Batch    332, Loss  0.882909, Average Loss  0.870507, Time  0.458425
2021-09-29 05:56:19.981100 : CheckPoint: Validation Loss  0.00015267, Best Loss  0.00014870
2021-09-29 05:56:25.896897 : Epoch  7, Batch    333, Loss  0.867776, Average Loss  0.870472, Time  0.458616
2021-09-29 05:56:31.794286 : Epoch  7, Batch    334, Loss  0.849138, Average Loss  0.870291, Time  0.447541
2021-09-29 05:56:37.710057 : Epoch  7, Batch    335, Loss  0.862383, Average Loss  0.870232, Time  0.444913
2021-09-29 05:56:43.617092 : Epoch  7, Batch    336, Loss  0.886244, Average Loss  0.870285, Time  0.444780
2021-09-29 05:56:49.524179 : Epoch  7, Batch    337, Loss  0.870166, Average Loss  0.870292, Time  0.445535
2021-09-29 05:56:55.435304 : Epoch  7, Batch    338, Loss  0.872591, Average Loss  0.870268, Time  0.446410
2021-09-29 05:57:01.351803 : Epoch  7, Batch    339, Loss  0.870503, Average Loss  0.870192, Time  0.444456
2021-09-29 05:57:07.268838 : Epoch  7, Batch    340, Loss  0.876860, Average Loss  0.870226, Time  0.456775
2021-09-29 05:57:13.178247 : Epoch  7, Batch    341, Loss  0.856836, Average Loss  0.870138, Time  0.445637
2021-09-29 05:57:19.093426 : Epoch  7, Batch    342, Loss  0.872036, Average Loss  0.870102, Time  0.447557
2021-09-29 05:57:24.998909 : Epoch  7, Batch    343, Loss  0.852141, Average Loss  0.870014, Time  0.445456
2021-09-29 05:57:30.908866 : Epoch  7, Batch    344, Loss  0.875399, Average Loss  0.870019, Time  0.446807
2021-09-29 05:57:36.828122 : Epoch  7, Batch    345, Loss  0.867253, Average Loss  0.869977, Time  0.446998
2021-09-29 05:57:42.732875 : Epoch  7, Batch    346, Loss  0.874107, Average Loss  0.870006, Time  0.444622
2021-09-29 05:57:48.636734 : Epoch  7, Batch    347, Loss  0.865613, Average Loss  0.870065, Time  0.445068
2021-09-29 05:57:54.542440 : Epoch  7, Batch    348, Loss  0.867125, Average Loss  0.870034, Time  0.455554
2021-09-29 05:58:00.452316 : Epoch  7, Batch    349, Loss  0.888891, Average Loss  0.870174, Time  0.446179
2021-09-29 05:58:06.362084 : Epoch  7, Batch    350, Loss  0.873570, Average Loss  0.870167, Time  0.445622
2021-09-29 05:58:12.269496 : Epoch  7, Batch    351, Loss  0.857091, Average Loss  0.870133, Time  0.447215
2021-09-29 05:58:18.186278 : Epoch  7, Batch    352, Loss  0.874232, Average Loss  0.870218, Time  0.446787
2021-09-29 05:58:24.083361 : Epoch  7, Batch    353, Loss  0.868465, Average Loss  0.870130, Time  0.446749
2021-09-29 05:58:29.995173 : Epoch  7, Batch    354, Loss  0.885160, Average Loss  0.870262, Time  0.445351
2021-09-29 05:58:35.895105 : Epoch  7, Batch    355, Loss  0.865803, Average Loss  0.870247, Time  0.445805
2021-09-29 05:58:41.816361 : Epoch  7, Batch    356, Loss  0.858019, Average Loss  0.870162, Time  0.458707
2021-09-29 05:58:47.718483 : Epoch  7, Batch    357, Loss  0.863259, Average Loss  0.870175, Time  0.444371
2021-09-29 05:58:53.617992 : Epoch  7, Batch    358, Loss  0.872450, Average Loss  0.870133, Time  0.445315
2021-09-29 05:58:59.536707 : Epoch  7, Batch    359, Loss  0.861359, Average Loss  0.870140, Time  0.444039
2021-09-29 05:59:05.453679 : Epoch  7, Batch    360, Loss  0.865509, Average Loss  0.870134, Time  0.444549
2021-09-29 05:59:11.369151 : Epoch  7, Batch    361, Loss  0.871824, Average Loss  0.870108, Time  0.445926
2021-09-29 05:59:17.276288 : Epoch  7, Batch    362, Loss  0.876658, Average Loss  0.870209, Time  0.445468
2021-09-29 05:59:23.175103 : Epoch  7, Batch    363, Loss  0.876365, Average Loss  0.870209, Time  0.445050
2021-09-29 05:59:29.099842 : Epoch  7, Batch    364, Loss  0.864989, Average Loss  0.870159, Time  0.457948
2021-09-29 05:59:35.003283 : Epoch  7, Batch    365, Loss  0.851763, Average Loss  0.870094, Time  0.446766
2021-09-29 05:59:40.916350 : Epoch  7, Batch    366, Loss  0.871678, Average Loss  0.870089, Time  0.444953
2021-09-29 05:59:46.811274 : Epoch  7, Batch    367, Loss  0.881948, Average Loss  0.870116, Time  0.445663
2021-09-29 05:59:52.715302 : Epoch  7, Batch    368, Loss  0.885880, Average Loss  0.870160, Time  0.444750
2021-09-29 05:59:58.625849 : Epoch  7, Batch    369, Loss  0.885868, Average Loss  0.870305, Time  0.445786
2021-09-29 06:00:04.532723 : Epoch  7, Batch    370, Loss  0.881767, Average Loss  0.870350, Time  0.445055
2021-09-29 06:00:10.455216 : Epoch  7, Batch    371, Loss  0.881795, Average Loss  0.870415, Time  0.445569
2021-09-29 06:00:16.377812 : Epoch  7, Batch    372, Loss  0.862120, Average Loss  0.870410, Time  0.458720
2021-09-29 06:00:22.295337 : Epoch  7, Batch    373, Loss  0.874850, Average Loss  0.870488, Time  0.446610
2021-09-29 06:00:28.196229 : Epoch  7, Batch    374, Loss  0.861354, Average Loss  0.870427, Time  0.445946
2021-09-29 06:00:34.100153 : Epoch  7, Batch    375, Loss  0.881615, Average Loss  0.870518, Time  0.448728
2021-09-29 06:00:40.001020 : Epoch  7, Batch    376, Loss  0.869716, Average Loss  0.870524, Time  0.444363
2021-09-29 06:00:45.899808 : Epoch  7, Batch    377, Loss  0.865779, Average Loss  0.870462, Time  0.445813
2021-09-29 06:00:51.806779 : Epoch  7, Batch    378, Loss  0.868258, Average Loss  0.870489, Time  0.444156
2021-09-29 06:00:57.706927 : Epoch  7, Batch    379, Loss  0.864183, Average Loss  0.870509, Time  0.444714
2021-09-29 06:01:03.637260 : Epoch  7, Batch    380, Loss  0.874718, Average Loss  0.870561, Time  0.460998
2021-09-29 06:01:09.538912 : Epoch  7, Batch    381, Loss  0.872026, Average Loss  0.870545, Time  0.443927
2021-09-29 06:01:15.454759 : Epoch  7, Batch    382, Loss  0.867856, Average Loss  0.870530, Time  0.446496
2021-09-29 06:01:21.368541 : Epoch  7, Batch    383, Loss  0.874594, Average Loss  0.870578, Time  0.446496
2021-09-29 06:01:27.320882 : Epoch  7, Batch    384, Loss  0.870891, Average Loss  0.870538, Time  0.447947
2021-09-29 06:01:33.232047 : Epoch  7, Batch    385, Loss  0.888698, Average Loss  0.870681, Time  0.444623
2021-09-29 06:01:37.635874 : Epoch  7, Batch    386, Loss  0.868046, Average Loss  0.870707, Time  0.345736
2021-09-29 06:01:43.539533 : Epoch  7, Batch    387, Loss  0.862751, Average Loss  0.870569, Time  0.446196
2021-09-29 06:01:49.466661 : Epoch  7, Batch    388, Loss  0.871630, Average Loss  0.870591, Time  0.458680
2021-09-29 06:01:55.389639 : Epoch  7, Batch    389, Loss  0.872837, Average Loss  0.870611, Time  0.447712
2021-09-29 06:02:01.292807 : Epoch  7, Batch    390, Loss  0.864742, Average Loss  0.870569, Time  0.444232
2021-09-29 06:02:07.208191 : Epoch  7, Batch    391, Loss  0.860884, Average Loss  0.870472, Time  0.448854
2021-09-29 06:02:13.117428 : Epoch  7, Batch    392, Loss  0.874871, Average Loss  0.870496, Time  0.446489
2021-09-29 06:02:19.031952 : Epoch  7, Batch    393, Loss  0.883261, Average Loss  0.870573, Time  0.445046
2021-09-29 06:02:24.926321 : Epoch  7, Batch    394, Loss  0.858134, Average Loss  0.870516, Time  0.444509
2021-09-29 06:02:30.823999 : Epoch  7, Batch    395, Loss  0.873196, Average Loss  0.870555, Time  0.445940
2021-09-29 06:02:36.743591 : Epoch  7, Batch    396, Loss  0.873383, Average Loss  0.870563, Time  0.459891
2021-09-29 06:02:42.652035 : Epoch  7, Batch    397, Loss  0.846162, Average Loss  0.870406, Time  0.445616
2021-09-29 06:02:48.568550 : Epoch  7, Batch    398, Loss  0.876646, Average Loss  0.870380, Time  0.445488
2021-09-29 06:02:54.481739 : Epoch  7, Batch    399, Loss  0.859602, Average Loss  0.870307, Time  0.446998
2021-09-29 06:03:00.397639 : Epoch  7, Batch    400, Loss  0.865446, Average Loss  0.870346, Time  0.449791
2021-09-29 06:03:06.288847 : Epoch  7, Batch    401, Loss  0.865215, Average Loss  0.870391, Time  0.446635
2021-09-29 06:03:12.223102 : Epoch  7, Batch    402, Loss  0.857755, Average Loss  0.870455, Time  0.444767
2021-09-29 06:03:18.111196 : Epoch  7, Batch    403, Loss  0.863027, Average Loss  0.870440, Time  0.444618
2021-09-29 06:03:24.016001 : Epoch  7, Batch    404, Loss  0.882223, Average Loss  0.870517, Time  0.460989
2021-09-29 06:03:29.909266 : Epoch  7, Batch    405, Loss  0.870117, Average Loss  0.870478, Time  0.444590
2021-09-29 06:03:35.803142 : Epoch  7, Batch    406, Loss  0.874278, Average Loss  0.870444, Time  0.446915
2021-09-29 06:03:41.733889 : Epoch  7, Batch    407, Loss  0.860454, Average Loss  0.870388, Time  0.444253
2021-09-29 06:03:47.628866 : Epoch  7, Batch    408, Loss  0.890128, Average Loss  0.870557, Time  0.444642
2021-09-29 06:03:53.511855 : Epoch  7, Batch    409, Loss  0.867572, Average Loss  0.870525, Time  0.445204
2021-09-29 06:03:59.413383 : Epoch  7, Batch    410, Loss  0.858148, Average Loss  0.870490, Time  0.446660
2021-09-29 06:04:05.317559 : Epoch  7, Batch    411, Loss  0.873739, Average Loss  0.870543, Time  0.445193
2021-09-29 06:04:11.238711 : Epoch  7, Batch    412, Loss  0.862594, Average Loss  0.870460, Time  0.456084
2021-09-29 06:04:17.125323 : Epoch  7, Batch    413, Loss  0.862890, Average Loss  0.870447, Time  0.446329
2021-09-29 06:04:23.030024 : Epoch  7, Batch    414, Loss  0.866175, Average Loss  0.870382, Time  0.448043
2021-09-29 06:04:28.928771 : Epoch  7, Batch    415, Loss  0.876630, Average Loss  0.870459, Time  0.444391
2021-09-29 06:04:34.835196 : Epoch  7, Batch    416, Loss  0.870281, Average Loss  0.870435, Time  0.444671
2021-09-29 06:04:40.745172 : Epoch  7, Batch    417, Loss  0.878524, Average Loss  0.870451, Time  0.446277
2021-09-29 06:04:46.681819 : Epoch  7, Batch    418, Loss  0.865828, Average Loss  0.870492, Time  0.448858
2021-09-29 06:04:52.588826 : Epoch  7, Batch    419, Loss  0.856091, Average Loss  0.870478, Time  0.445422
2021-09-29 06:04:58.512848 : Epoch  7, Batch    420, Loss  0.861849, Average Loss  0.870448, Time  0.457285
2021-09-29 06:05:04.431241 : Epoch  7, Batch    421, Loss  0.863420, Average Loss  0.870470, Time  0.446745
2021-09-29 06:05:10.346028 : Epoch  7, Batch    422, Loss  0.873348, Average Loss  0.870592, Time  0.446630
2021-09-29 06:05:16.252889 : Epoch  7, Batch    423, Loss  0.861910, Average Loss  0.870554, Time  0.447124
2021-09-29 06:05:22.161386 : Epoch  7, Batch    424, Loss  0.871598, Average Loss  0.870616, Time  0.448481
2021-09-29 06:05:28.070772 : Epoch  7, Batch    425, Loss  0.871517, Average Loss  0.870633, Time  0.446682
2021-09-29 06:05:33.982578 : Epoch  7, Batch    426, Loss  0.873939, Average Loss  0.870692, Time  0.444510
2021-09-29 06:05:39.890919 : Epoch  7, Batch    427, Loss  0.851435, Average Loss  0.870563, Time  0.445807
2021-09-29 06:05:45.809896 : Epoch  7, Batch    428, Loss  0.857042, Average Loss  0.870479, Time  0.459506
2021-09-29 06:05:51.738846 : Epoch  7, Batch    429, Loss  0.863416, Average Loss  0.870539, Time  0.446513
2021-09-29 06:05:57.648035 : Epoch  7, Batch    430, Loss  0.880908, Average Loss  0.870531, Time  0.444753
2021-09-29 06:06:03.573181 : Epoch  7, Batch    431, Loss  0.869621, Average Loss  0.870521, Time  0.447666
2021-09-29 06:06:15.009485 : Epoch  7, Batch    432, Loss  0.868374, Average Loss  0.870505, Time  0.446064
2021-09-29 06:10:52.128785 : CheckPoint: Validation Loss  0.00015026, Best Loss  0.00014870
2021-09-29 06:10:58.041042 : Epoch  7, Batch    433, Loss  0.870189, Average Loss  0.870516, Time  0.445948
2021-09-29 06:11:03.953580 : Epoch  7, Batch    434, Loss  0.880455, Average Loss  0.870565, Time  0.444463
2021-09-29 06:11:09.878112 : Epoch  7, Batch    435, Loss  0.876330, Average Loss  0.870608, Time  0.455015
2021-09-29 06:11:15.813929 : Epoch  7, Batch    436, Loss  0.857548, Average Loss  0.870618, Time  0.446492
2021-09-29 06:11:21.735303 : Epoch  7, Batch    437, Loss  0.869581, Average Loss  0.870586, Time  0.444777
2021-09-29 06:11:27.650315 : Epoch  7, Batch    438, Loss  0.861608, Average Loss  0.870560, Time  0.445870
2021-09-29 06:11:33.561691 : Epoch  7, Batch    439, Loss  0.872845, Average Loss  0.870557, Time  0.445585
2021-09-29 06:11:39.468824 : Epoch  7, Batch    440, Loss  0.865142, Average Loss  0.870481, Time  0.445689
2021-09-29 06:11:45.385715 : Epoch  7, Batch    441, Loss  0.882627, Average Loss  0.870531, Time  0.444408
2021-09-29 06:11:51.316949 : Epoch  7, Batch    442, Loss  0.866359, Average Loss  0.870479, Time  0.444500
2021-09-29 06:11:57.252633 : Epoch  7, Batch    443, Loss  0.863085, Average Loss  0.870380, Time  0.460579
2021-09-29 06:12:03.166109 : Epoch  7, Batch    444, Loss  0.883951, Average Loss  0.870462, Time  0.445579
2021-09-29 06:12:09.096732 : Epoch  7, Batch    445, Loss  0.865762, Average Loss  0.870402, Time  0.444122
2021-09-29 06:12:15.020475 : Epoch  7, Batch    446, Loss  0.870555, Average Loss  0.870405, Time  0.447491
2021-09-29 06:12:20.944594 : Epoch  7, Batch    447, Loss  0.863988, Average Loss  0.870431, Time  0.446995
2021-09-29 06:12:26.872069 : Epoch  7, Batch    448, Loss  0.861764, Average Loss  0.870418, Time  0.445672
2021-09-29 06:12:32.778538 : Epoch  7, Batch    449, Loss  0.863931, Average Loss  0.870417, Time  0.444065
2021-09-29 06:12:38.694013 : Epoch  7, Batch    450, Loss  0.871598, Average Loss  0.870417, Time  0.444903
2021-09-29 06:12:44.610681 : Epoch  7, Batch    451, Loss  0.857051, Average Loss  0.870282, Time  0.459400
2021-09-29 06:12:50.524579 : Epoch  7, Batch    452, Loss  0.868175, Average Loss  0.870260, Time  0.446363
2021-09-29 06:12:56.433168 : Epoch  7, Batch    453, Loss  0.885305, Average Loss  0.870317, Time  0.451195
2021-09-29 06:13:02.362575 : Epoch  7, Batch    454, Loss  0.871915, Average Loss  0.870336, Time  0.446507
2021-09-29 06:13:08.286872 : Epoch  7, Batch    455, Loss  0.865180, Average Loss  0.870312, Time  0.447355
2021-09-29 06:13:14.208332 : Epoch  7, Batch    456, Loss  0.872084, Average Loss  0.870342, Time  0.445126
2021-09-29 06:13:20.134012 : Epoch  7, Batch    457, Loss  0.879279, Average Loss  0.870406, Time  0.448478
2021-09-29 06:13:26.048719 : Epoch  7, Batch    458, Loss  0.868665, Average Loss  0.870408, Time  0.444003
2021-09-29 06:13:31.986744 : Epoch  7, Batch    459, Loss  0.866749, Average Loss  0.870343, Time  0.462762
2021-09-29 06:13:37.870573 : Epoch  7, Batch    460, Loss  0.852267, Average Loss  0.870205, Time  0.445935
2021-09-29 06:13:43.789862 : Epoch  7, Batch    461, Loss  0.860360, Average Loss  0.870119, Time  0.446147
2021-09-29 06:13:49.711169 : Epoch  7, Batch    462, Loss  0.874593, Average Loss  0.870054, Time  0.444357
2021-09-29 06:13:55.627913 : Epoch  7, Batch    463, Loss  0.869017, Average Loss  0.870027, Time  0.444791
2021-09-29 06:14:01.542952 : Epoch  7, Batch    464, Loss  0.879277, Average Loss  0.870097, Time  0.445655
2021-09-29 06:14:07.468676 : Epoch  7, Batch    465, Loss  0.868764, Average Loss  0.870075, Time  0.446166
2021-09-29 06:14:13.403061 : Epoch  7, Batch    466, Loss  0.875258, Average Loss  0.870116, Time  0.454422
2021-09-29 06:14:19.322037 : Epoch  7, Batch    467, Loss  0.852902, Average Loss  0.870044, Time  0.445731
2021-09-29 06:14:25.247768 : Epoch  7, Batch    468, Loss  0.864733, Average Loss  0.870035, Time  0.447723
2021-09-29 06:14:31.154923 : Epoch  7, Batch    469, Loss  0.877205, Average Loss  0.870087, Time  0.445803
2021-09-29 06:14:37.065034 : Epoch  7, Batch    470, Loss  0.858863, Average Loss  0.870076, Time  0.445916
2021-09-29 06:14:42.987758 : Epoch  7, Batch    471, Loss  0.865509, Average Loss  0.870109, Time  0.444312
2021-09-29 06:14:48.898100 : Epoch  7, Batch    472, Loss  0.871124, Average Loss  0.870106, Time  0.444852
2021-09-29 06:14:54.830324 : Epoch  7, Batch    473, Loss  0.860007, Average Loss  0.870002, Time  0.448370
2021-09-29 06:15:00.757879 : Epoch  7, Batch    474, Loss  0.862202, Average Loss  0.870016, Time  0.458575
2021-09-29 06:15:06.682553 : Epoch  7, Batch    475, Loss  0.868526, Average Loss  0.870017, Time  0.446868
2021-09-29 06:15:12.585136 : Epoch  7, Batch    476, Loss  0.873692, Average Loss  0.869977, Time  0.444256
2021-09-29 06:15:18.501763 : Epoch  7, Batch    477, Loss  0.869730, Average Loss  0.869961, Time  0.445852
2021-09-29 06:15:24.419955 : Epoch  7, Batch    478, Loss  0.858062, Average Loss  0.869863, Time  0.445734
2021-09-29 06:15:30.348081 : Epoch  7, Batch    479, Loss  0.857776, Average Loss  0.869861, Time  0.444803
2021-09-29 06:15:36.274136 : Epoch  7, Batch    480, Loss  0.877303, Average Loss  0.869893, Time  0.446604
2021-09-29 06:15:42.193784 : Epoch  7, Batch    481, Loss  0.864310, Average Loss  0.869823, Time  0.445647
2021-09-29 06:15:48.128681 : Epoch  7, Batch    482, Loss  0.880110, Average Loss  0.869858, Time  0.455608
2021-09-29 06:15:54.048855 : Epoch  7, Batch    483, Loss  0.871273, Average Loss  0.869842, Time  0.445531
2021-09-29 06:15:59.967745 : Epoch  7, Batch    484, Loss  0.881009, Average Loss  0.869869, Time  0.444794
2021-09-29 06:16:05.896913 : Epoch  7, Batch    485, Loss  0.884378, Average Loss  0.869952, Time  0.446759
2021-09-29 06:16:11.823734 : Epoch  7, Batch    486, Loss  0.876660, Average Loss  0.869857, Time  0.444316
2021-09-29 06:16:17.752581 : Epoch  7, Batch    487, Loss  0.865052, Average Loss  0.869865, Time  0.445257
2021-09-29 06:16:23.662578 : Epoch  7, Batch    488, Loss  0.866674, Average Loss  0.869885, Time  0.445685
2021-09-29 06:16:29.563454 : Epoch  7, Batch    489, Loss  0.881547, Average Loss  0.869925, Time  0.444018
2021-09-29 06:16:35.490921 : Epoch  7, Batch    490, Loss  0.868238, Average Loss  0.869861, Time  0.461879
2021-09-29 06:16:41.425800 : Epoch  7, Batch    491, Loss  0.869857, Average Loss  0.869820, Time  0.444217
2021-09-29 06:16:47.336159 : Epoch  7, Batch    492, Loss  0.874148, Average Loss  0.869833, Time  0.444380
2021-09-29 06:16:53.263861 : Epoch  7, Batch    493, Loss  0.885963, Average Loss  0.869883, Time  0.446492
2021-09-29 06:16:59.183879 : Epoch  7, Batch    494, Loss  0.865213, Average Loss  0.869925, Time  0.446229
2021-09-29 06:17:05.109836 : Epoch  7, Batch    495, Loss  0.865375, Average Loss  0.869931, Time  0.446162
2021-09-29 06:17:11.028201 : Epoch  7, Batch    496, Loss  0.868373, Average Loss  0.869924, Time  0.445807
2021-09-29 06:17:16.954241 : Epoch  7, Batch    497, Loss  0.889001, Average Loss  0.870055, Time  0.444748
2021-09-29 06:17:22.905589 : Epoch  7, Batch    498, Loss  0.876908, Average Loss  0.869977, Time  0.453904
2021-09-29 06:17:28.823272 : Epoch  7, Batch    499, Loss  0.858660, Average Loss  0.869870, Time  0.444878
2021-09-29 06:17:34.751604 : Epoch  7, Batch    500, Loss  0.885649, Average Loss  0.869944, Time  0.445322
2021-09-29 06:17:40.664917 : Epoch  7, Batch    501, Loss  0.861990, Average Loss  0.869954, Time  0.445446
2021-09-29 06:17:46.596659 : Epoch  7, Batch    502, Loss  0.870580, Average Loss  0.870015, Time  0.446460
2021-09-29 06:17:52.512838 : Epoch  7, Batch    503, Loss  0.865076, Average Loss  0.869980, Time  0.445046
2021-09-29 06:17:58.424515 : Epoch  7, Batch    504, Loss  0.874019, Average Loss  0.869942, Time  0.445098
2021-09-29 06:18:04.354143 : Epoch  7, Batch    505, Loss  0.864644, Average Loss  0.869889, Time  0.452870
2021-09-29 06:18:10.268950 : Epoch  7, Batch    506, Loss  0.859896, Average Loss  0.869829, Time  0.445745
2021-09-29 06:18:16.198663 : Epoch  7, Batch    507, Loss  0.870420, Average Loss  0.869770, Time  0.445606
2021-09-29 06:18:22.117179 : Epoch  7, Batch    508, Loss  0.864668, Average Loss  0.869784, Time  0.446058
2021-09-29 06:18:28.034044 : Epoch  7, Batch    509, Loss  0.867577, Average Loss  0.869773, Time  0.444074
2021-09-29 06:18:33.944837 : Epoch  7, Batch    510, Loss  0.867950, Average Loss  0.869800, Time  0.445374
2021-09-29 06:18:39.888217 : Epoch  7, Batch    511, Loss  0.873030, Average Loss  0.869825, Time  0.445428
2021-09-29 06:18:45.806622 : Epoch  7, Batch    512, Loss  0.856934, Average Loss  0.869757, Time  0.445956
2021-09-29 06:18:51.723603 : Epoch  7, Batch    513, Loss  0.869078, Average Loss  0.869764, Time  0.458992
2021-09-29 06:18:57.655807 : Epoch  7, Batch    514, Loss  0.877559, Average Loss  0.869678, Time  0.445690
2021-09-29 06:19:03.582465 : Epoch  7, Batch    515, Loss  0.862823, Average Loss  0.869601, Time  0.446784
2021-09-29 06:19:09.516048 : Epoch  7, Batch    516, Loss  0.850566, Average Loss  0.869509, Time  0.446129
2021-09-29 06:19:15.453485 : Epoch  7, Batch    517, Loss  0.878644, Average Loss  0.869611, Time  0.446387
2021-09-29 06:19:21.360128 : Epoch  7, Batch    518, Loss  0.855632, Average Loss  0.869518, Time  0.444774
2021-09-29 06:19:27.278755 : Epoch  7, Batch    519, Loss  0.859203, Average Loss  0.869479, Time  0.444475
2021-09-29 06:19:33.224490 : Epoch  7, Batch    520, Loss  0.874200, Average Loss  0.869456, Time  0.444209
2021-09-29 06:19:39.158979 : Epoch  7, Batch    521, Loss  0.889970, Average Loss  0.869494, Time  0.460413
2021-09-29 06:19:45.085407 : Epoch  7, Batch    522, Loss  0.873698, Average Loss  0.869524, Time  0.444323
2021-09-29 06:19:50.902481 : Epoch  7, Batch    523, Loss  0.869964, Average Loss  0.869518, Time  0.444676
2021-09-29 06:19:56.360549 : Epoch  7, Batch    524, Loss  0.849315, Average Loss  0.869492, Time  0.440974
2021-09-29 06:20:01.875439 : Epoch  7, Batch    525, Loss  0.863242, Average Loss  0.869400, Time  0.444458
2021-09-29 06:20:07.440854 : Epoch  7, Batch    526, Loss  0.862920, Average Loss  0.869335, Time  0.443226
2021-09-29 06:20:12.977846 : Epoch  7, Batch    527, Loss  0.873562, Average Loss  0.869295, Time  0.443439
2021-09-29 06:20:18.471302 : Epoch  7, Batch    528, Loss  0.867137, Average Loss  0.869209, Time  0.440399
2021-09-29 06:20:23.749913 : Epoch  7, Batch    529, Loss  0.870935, Average Loss  0.869178, Time  0.456781
2021-09-29 06:20:29.064422 : Epoch  7, Batch    530, Loss  0.889556, Average Loss  0.869282, Time  0.443015
2021-09-29 06:20:34.490225 : Epoch  7, Batch    531, Loss  0.866378, Average Loss  0.869351, Time  0.440765
2021-09-29 06:20:39.835005 : Epoch  7, Batch    532, Loss  0.873808, Average Loss  0.869305, Time  0.440933
2021-09-29 06:24:53.556309 : CheckPoint: Validation Loss  0.00015298, Best Loss  0.00014870
2021-09-29 06:24:59.213060 : Epoch  7, Batch    533, Loss  0.868452, Average Loss  0.869309, Time  0.457299
2021-09-29 06:25:04.648018 : Epoch  7, Batch    534, Loss  0.884270, Average Loss  0.869484, Time  0.443191
2021-09-29 06:25:10.029996 : Epoch  7, Batch    535, Loss  0.859128, Average Loss  0.869468, Time  0.441530
2021-09-29 06:25:15.433431 : Epoch  7, Batch    536, Loss  0.865536, Average Loss  0.869365, Time  0.444176
2021-09-29 06:25:20.959476 : Epoch  7, Batch    537, Loss  0.857210, Average Loss  0.869300, Time  0.443242
2021-09-29 06:25:26.556782 : Epoch  7, Batch    538, Loss  0.863386, Average Loss  0.869254, Time  0.442038
2021-09-29 06:25:32.090986 : Epoch  7, Batch    539, Loss  0.858015, Average Loss  0.869191, Time  0.442199
2021-09-29 06:25:37.499507 : Epoch  7, Batch    540, Loss  0.863561, Average Loss  0.869125, Time  0.443046
2021-09-29 06:25:42.920604 : Epoch  7, Batch    541, Loss  0.867535, Average Loss  0.869178, Time  0.444890
2021-09-29 06:25:48.534997 : Epoch  7, Batch    542, Loss  0.871729, Average Loss  0.869177, Time  0.456888
2021-09-29 06:25:54.105637 : Epoch  7, Batch    543, Loss  0.867813, Average Loss  0.869255, Time  0.445231
2021-09-29 06:25:59.752013 : Epoch  7, Batch    544, Loss  0.865796, Average Loss  0.869207, Time  0.444880
2021-09-29 06:26:05.372078 : Epoch  7, Batch    545, Loss  0.866470, Average Loss  0.869203, Time  0.443276
2021-09-29 06:26:11.030590 : Epoch  7, Batch    546, Loss  0.883628, Average Loss  0.869251, Time  0.444939
2021-09-29 06:26:16.435024 : Epoch  7, Batch    547, Loss  0.862241, Average Loss  0.869234, Time  0.442268
2021-09-29 06:26:21.999962 : Epoch  7, Batch    548, Loss  0.867242, Average Loss  0.869235, Time  0.442693
2021-09-29 06:26:27.575678 : Epoch  7, Batch    549, Loss  0.876814, Average Loss  0.869174, Time  0.442864
2021-09-29 06:26:33.014971 : Epoch  7, Batch    550, Loss  0.866809, Average Loss  0.869140, Time  0.453544
2021-09-29 06:26:38.649657 : Epoch  7, Batch    551, Loss  0.869616, Average Loss  0.869203, Time  0.444433
2021-09-29 06:26:44.215100 : Epoch  7, Batch    552, Loss  0.871453, Average Loss  0.869189, Time  0.442889
2021-09-29 06:26:49.686643 : Epoch  7, Batch    553, Loss  0.851763, Average Loss  0.869106, Time  0.442173
2021-09-29 06:26:55.154110 : Epoch  7, Batch    554, Loss  0.870613, Average Loss  0.869033, Time  0.441680
2021-09-29 06:27:00.679520 : Epoch  7, Batch    555, Loss  0.868769, Average Loss  0.869048, Time  0.444593
2021-09-29 06:27:06.223673 : Epoch  7, Batch    556, Loss  0.866653, Average Loss  0.869091, Time  0.444465
2021-09-29 06:27:11.851224 : Epoch  7, Batch    557, Loss  0.856914, Average Loss  0.869059, Time  0.443746
2021-09-29 06:27:17.350515 : Epoch  7, Batch    558, Loss  0.859922, Average Loss  0.868996, Time  0.442186
2021-09-29 06:27:22.830773 : Epoch  7, Batch    559, Loss  0.855955, Average Loss  0.868969, Time  0.451902
2021-09-29 06:27:28.368623 : Epoch  7, Batch    560, Loss  0.870225, Average Loss  0.868993, Time  0.444727
2021-09-29 06:27:33.964463 : Epoch  7, Batch    561, Loss  0.882956, Average Loss  0.869049, Time  0.444933
2021-09-29 06:27:39.602989 : Epoch  7, Batch    562, Loss  0.872334, Average Loss  0.869027, Time  0.443387
2021-09-29 06:27:44.960237 : Epoch  7, Batch    563, Loss  0.866777, Average Loss  0.868979, Time  0.442540
2021-09-29 06:27:50.491893 : Epoch  7, Batch    564, Loss  0.875524, Average Loss  0.869032, Time  0.442715
2021-09-29 06:27:55.992427 : Epoch  7, Batch    565, Loss  0.880528, Average Loss  0.869176, Time  0.443687
2021-09-29 06:28:01.416523 : Epoch  7, Batch    566, Loss  0.874237, Average Loss  0.869188, Time  0.444381
2021-09-29 06:28:07.137246 : Epoch  7, Batch    567, Loss  0.863465, Average Loss  0.869096, Time  0.444364
2021-09-29 06:28:12.662119 : Epoch  7, Batch    568, Loss  0.871681, Average Loss  0.869025, Time  0.449556
2021-09-29 06:28:18.371028 : Epoch  7, Batch    569, Loss  0.876607, Average Loss  0.868979, Time  0.443842
2021-09-29 06:28:24.017016 : Epoch  7, Batch    570, Loss  0.883929, Average Loss  0.868990, Time  0.440930
2021-09-29 06:28:29.521102 : Epoch  7, Batch    571, Loss  0.865544, Average Loss  0.868908, Time  0.444363
2021-09-29 06:28:35.031739 : Epoch  7, Batch    572, Loss  0.854680, Average Loss  0.868871, Time  0.441391
2021-09-29 06:28:40.417376 : Epoch  7, Batch    573, Loss  0.868830, Average Loss  0.868841, Time  0.442638
2021-09-29 06:28:45.946030 : Epoch  7, Batch    574, Loss  0.890554, Average Loss  0.868987, Time  0.445079
2021-09-29 06:28:51.649396 : Epoch  7, Batch    575, Loss  0.864524, Average Loss  0.868902, Time  0.444138
2021-09-29 06:28:57.337755 : Epoch  7, Batch    576, Loss  0.876280, Average Loss  0.868934, Time  0.457265
2021-09-29 06:29:03.028691 : Epoch  7, Batch    577, Loss  0.871587, Average Loss  0.868963, Time  0.444758
2021-09-29 06:29:08.778059 : Epoch  7, Batch    578, Loss  0.890170, Average Loss  0.869073, Time  0.443985
2021-09-29 06:29:14.413183 : Epoch  7, Batch    579, Loss  0.870897, Average Loss  0.869107, Time  0.444261
2021-09-29 06:29:19.838136 : Epoch  7, Batch    580, Loss  0.885379, Average Loss  0.869160, Time  0.443490
2021-09-29 06:29:25.432805 : Epoch  7, Batch    581, Loss  0.880173, Average Loss  0.869201, Time  0.442193
2021-09-29 06:29:30.947135 : Epoch  7, Batch    582, Loss  0.894920, Average Loss  0.869336, Time  0.444408
2021-09-29 06:29:36.466651 : Epoch  7, Batch    583, Loss  0.863302, Average Loss  0.869279, Time  0.442209
2021-09-29 06:29:41.957340 : Epoch  7, Batch    584, Loss  0.878062, Average Loss  0.869315, Time  0.442818
2021-09-29 06:29:47.620742 : Epoch  7, Batch    585, Loss  0.871483, Average Loss  0.869229, Time  0.461403
2021-09-29 06:29:53.347159 : Epoch  7, Batch    586, Loss  0.872698, Average Loss  0.869252, Time  0.444572
2021-09-29 06:29:59.017623 : Epoch  7, Batch    587, Loss  0.867533, Average Loss  0.869276, Time  0.443839
2021-09-29 06:30:04.611866 : Epoch  7, Batch    588, Loss  0.868634, Average Loss  0.869261, Time  0.444932
2021-09-29 06:30:10.156634 : Epoch  7, Batch    589, Loss  0.884408, Average Loss  0.869319, Time  0.444666
2021-09-29 06:30:15.580381 : Epoch  7, Batch    590, Loss  0.859892, Average Loss  0.869295, Time  0.442108
2021-09-29 06:30:21.051391 : Epoch  7, Batch    591, Loss  0.870294, Average Loss  0.869342, Time  0.444518
2021-09-29 06:30:26.737980 : Epoch  7, Batch    592, Loss  0.879728, Average Loss  0.869366, Time  0.442944
2021-09-29 06:30:32.440178 : Epoch  7, Batch    593, Loss  0.849294, Average Loss  0.869196, Time  0.458772
2021-09-29 06:30:38.082865 : Epoch  7, Batch    594, Loss  0.867433, Average Loss  0.869243, Time  0.442258
2021-09-29 06:30:43.625314 : Epoch  7, Batch    595, Loss  0.873051, Average Loss  0.869242, Time  0.444411
2021-09-29 06:30:49.304667 : Epoch  7, Batch    596, Loss  0.881727, Average Loss  0.869284, Time  0.442491
2021-09-29 06:30:54.885047 : Epoch  7, Batch    597, Loss  0.857666, Average Loss  0.869341, Time  0.444747
2021-09-29 06:31:00.492251 : Epoch  7, Batch    598, Loss  0.861952, Average Loss  0.869268, Time  0.443650
2021-09-29 06:31:06.041970 : Epoch  7, Batch    599, Loss  0.886327, Average Loss  0.869402, Time  0.442483
2021-09-29 06:31:11.630228 : Epoch  7, Batch    600, Loss  0.866248, Average Loss  0.869406, Time  0.445678
2021-09-29 06:31:17.371379 : Epoch  7, Batch    601, Loss  0.870272, Average Loss  0.869431, Time  0.460096
2021-09-29 06:31:22.992424 : Epoch  7, Batch    602, Loss  0.866528, Average Loss  0.869475, Time  0.441461
2021-09-29 06:31:28.544981 : Epoch  7, Batch    603, Loss  0.856515, Average Loss  0.869442, Time  0.442201
2021-09-29 06:31:34.036004 : Epoch  7, Batch    604, Loss  0.884145, Average Loss  0.869452, Time  0.441829
2021-09-29 06:31:39.590320 : Epoch  7, Batch    605, Loss  0.855557, Average Loss  0.869379, Time  0.442662
2021-09-29 06:31:45.164371 : Epoch  7, Batch    606, Loss  0.875507, Average Loss  0.869385, Time  0.445016
2021-09-29 06:31:50.862920 : Epoch  7, Batch    607, Loss  0.865731, Average Loss  0.869412, Time  0.444851
2021-09-29 06:31:56.495255 : Epoch  7, Batch    608, Loss  0.875614, Average Loss  0.869339, Time  0.444008
2021-09-29 06:32:02.079548 : Epoch  7, Batch    609, Loss  0.874048, Average Loss  0.869371, Time  0.452211
2021-09-29 06:32:07.594999 : Epoch  7, Batch    610, Loss  0.879319, Average Loss  0.869477, Time  0.440449
2021-09-29 06:32:12.950094 : Epoch  7, Batch    611, Loss  0.864919, Average Loss  0.869433, Time  0.442586
2021-09-29 06:32:18.480538 : Epoch  7, Batch    612, Loss  0.875109, Average Loss  0.869496, Time  0.444069
2021-09-29 06:32:24.066818 : Epoch  7, Batch    613, Loss  0.849061, Average Loss  0.869427, Time  0.443177
2021-09-29 06:32:29.578341 : Epoch  7, Batch    614, Loss  0.878427, Average Loss  0.869488, Time  0.442059
2021-09-29 06:32:35.241841 : Epoch  7, Batch    615, Loss  0.863293, Average Loss  0.869421, Time  0.444855
2021-09-29 06:32:40.883064 : Epoch  7, Batch    616, Loss  0.877201, Average Loss  0.869456, Time  0.441200
2021-09-29 06:32:46.319717 : Epoch  7, Batch    617, Loss  0.857833, Average Loss  0.869352, Time  0.442128
2021-09-29 06:32:52.021678 : Epoch  7, Batch    618, Loss  0.866815, Average Loss  0.869357, Time  0.457254
2021-09-29 06:32:57.650891 : Epoch  7, Batch    619, Loss  0.874729, Average Loss  0.869450, Time  0.442055
2021-09-29 06:33:03.125163 : Epoch  7, Batch    620, Loss  0.867616, Average Loss  0.869479, Time  0.443932
2021-09-29 06:33:08.638738 : Epoch  7, Batch    621, Loss  0.863158, Average Loss  0.869478, Time  0.441566
2021-09-29 06:33:14.131532 : Epoch  7, Batch    622, Loss  0.863780, Average Loss  0.869430, Time  0.441479
2021-09-29 06:33:19.613248 : Epoch  7, Batch    623, Loss  0.872504, Average Loss  0.869483, Time  0.441493
2021-09-29 06:33:25.237714 : Epoch  7, Batch    624, Loss  0.878596, Average Loss  0.869518, Time  0.441852
2021-09-29 06:33:30.841768 : Epoch  7, Batch    625, Loss  0.885283, Average Loss  0.869587, Time  0.443275
2021-09-29 06:33:36.494627 : Epoch  7, Batch    626, Loss  0.860304, Average Loss  0.869519, Time  0.444340
2021-09-29 06:33:42.197839 : Epoch  7, Batch    627, Loss  0.878484, Average Loss  0.869654, Time  0.454128
2021-09-29 06:33:47.684027 : Epoch  7, Batch    628, Loss  0.881429, Average Loss  0.869776, Time  0.440778
2021-09-29 06:33:53.279811 : Epoch  7, Batch    629, Loss  0.858042, Average Loss  0.869749, Time  0.444036
2021-09-29 06:33:58.823833 : Epoch  7, Batch    630, Loss  0.859501, Average Loss  0.869642, Time  0.443208
2021-09-29 06:34:04.422058 : Epoch  7, Batch    631, Loss  0.856721, Average Loss  0.869577, Time  0.445476
2021-09-29 06:34:09.974786 : Epoch  7, Batch    632, Loss  0.876342, Average Loss  0.869617, Time  0.443004
2021-09-29 06:38:30.824020 : CheckPoint: Validation Loss  0.00015273, Best Loss  0.00014870
2021-09-29 06:38:36.273129 : Epoch  7, Batch    633, Loss  0.877314, Average Loss  0.869653, Time  0.444056
2021-09-29 06:38:41.746802 : Epoch  7, Batch    634, Loss  0.871040, Average Loss  0.869606, Time  0.443831
2021-09-29 06:38:47.162890 : Epoch  7, Batch    635, Loss  0.863957, Average Loss  0.869544, Time  0.442841
2021-09-29 06:38:52.673008 : Epoch  7, Batch    636, Loss  0.871158, Average Loss  0.869612, Time  0.442169
2021-09-29 06:38:58.176210 : Epoch  7, Batch    637, Loss  0.857124, Average Loss  0.869550, Time  0.442025
2021-09-29 06:39:03.739344 : Epoch  7, Batch    638, Loss  0.859807, Average Loss  0.869541, Time  0.444327
2021-09-29 06:39:09.159346 : Epoch  7, Batch    639, Loss  0.860049, Average Loss  0.869477, Time  0.459172
2021-09-29 06:39:14.699835 : Epoch  7, Batch    640, Loss  0.873338, Average Loss  0.869518, Time  0.442486
2021-09-29 06:39:20.230435 : Epoch  7, Batch    641, Loss  0.858222, Average Loss  0.869396, Time  0.444047
2021-09-29 06:39:25.836286 : Epoch  7, Batch    642, Loss  0.882168, Average Loss  0.869475, Time  0.445032
2021-09-29 06:39:31.517276 : Epoch  7, Batch    643, Loss  0.882605, Average Loss  0.869572, Time  0.444610
2021-09-29 06:39:36.999494 : Epoch  7, Batch    644, Loss  0.873367, Average Loss  0.869519, Time  0.441488
2021-09-29 06:39:42.520615 : Epoch  7, Batch    645, Loss  0.857557, Average Loss  0.869478, Time  0.444877
2021-09-29 06:39:48.179421 : Epoch  7, Batch    646, Loss  0.886374, Average Loss  0.869558, Time  0.444389
2021-09-29 06:39:53.835441 : Epoch  7, Batch    647, Loss  0.874092, Average Loss  0.869608, Time  0.456905
2021-09-29 06:39:59.543339 : Epoch  7, Batch    648, Loss  0.871811, Average Loss  0.869658, Time  0.444434
2021-09-29 06:40:05.107152 : Epoch  7, Batch    649, Loss  0.876593, Average Loss  0.869722, Time  0.441315
2021-09-29 06:40:10.508851 : Epoch  7, Batch    650, Loss  0.890908, Average Loss  0.869818, Time  0.441675
2021-09-29 06:40:16.143204 : Epoch  7, Batch    651, Loss  0.857725, Average Loss  0.869822, Time  0.444986
2021-09-29 06:40:21.689264 : Epoch  7, Batch    652, Loss  0.882234, Average Loss  0.869892, Time  0.441147
2021-09-29 06:40:27.157753 : Epoch  7, Batch    653, Loss  0.880001, Average Loss  0.869865, Time  0.442744
2021-09-29 06:40:32.758448 : Epoch  7, Batch    654, Loss  0.867638, Average Loss  0.869844, Time  0.443233
2021-09-29 06:40:38.234814 : Epoch  7, Batch    655, Loss  0.868626, Average Loss  0.869861, Time  0.443249
2021-09-29 06:40:43.690283 : Epoch  7, Batch    656, Loss  0.871605, Average Loss  0.869859, Time  0.450992
2021-09-29 06:40:49.368111 : Epoch  7, Batch    657, Loss  0.867331, Average Loss  0.869799, Time  0.443653
2021-09-29 06:40:55.008531 : Epoch  7, Batch    658, Loss  0.853855, Average Loss  0.869725, Time  0.442823
2021-09-29 06:41:00.682030 : Epoch  7, Batch    659, Loss  0.862776, Average Loss  0.869705, Time  0.443160
2021-09-29 06:41:06.226433 : Epoch  7, Batch    660, Loss  0.877946, Average Loss  0.869833, Time  0.440569
2021-09-29 06:41:11.726124 : Epoch  7, Batch    661, Loss  0.867299, Average Loss  0.869868, Time  0.443187
2021-09-29 06:41:17.097405 : Epoch  7, Batch    662, Loss  0.863438, Average Loss  0.869812, Time  0.443251
2021-09-29 06:41:22.774914 : Epoch  7, Batch    663, Loss  0.868311, Average Loss  0.869809, Time  0.443761
2021-09-29 06:41:28.437187 : Epoch  7, Batch    664, Loss  0.868744, Average Loss  0.869756, Time  0.441624
2021-09-29 06:41:34.037729 : Epoch  7, Batch    665, Loss  0.876030, Average Loss  0.869793, Time  0.460811
2021-09-29 06:41:39.693986 : Epoch  7, Batch    666, Loss  0.857743, Average Loss  0.869705, Time  0.443082
2021-09-29 06:41:45.332345 : Epoch  7, Batch    667, Loss  0.875906, Average Loss  0.869820, Time  0.444404
2021-09-29 06:41:50.939499 : Epoch  7, Batch    668, Loss  0.876012, Average Loss  0.869876, Time  0.443367
2021-09-29 06:41:56.501023 : Epoch  7, Batch    669, Loss  0.863294, Average Loss  0.869807, Time  0.443213
2021-09-29 06:42:01.959494 : Epoch  7, Batch    670, Loss  0.869637, Average Loss  0.869861, Time  0.444661
2021-09-29 06:42:07.425258 : Epoch  7, Batch    671, Loss  0.865340, Average Loss  0.869860, Time  0.443467
2021-09-29 06:42:12.861034 : Epoch  7, Batch    672, Loss  0.881943, Average Loss  0.869914, Time  0.441189
2021-09-29 06:42:18.369935 : Epoch  7, Batch    673, Loss  0.869257, Average Loss  0.869960, Time  0.442733
2021-09-29 06:42:24.010611 : Epoch  7, Batch    674, Loss  0.854168, Average Loss  0.869920, Time  0.459844
2021-09-29 06:42:29.617045 : Epoch  7, Batch    675, Loss  0.878481, Average Loss  0.869970, Time  0.440693
2021-09-29 06:42:35.137201 : Epoch  7, Batch    676, Loss  0.862278, Average Loss  0.869913, Time  0.443155
2021-09-29 06:42:40.768685 : Epoch  7, Batch    677, Loss  0.871183, Average Loss  0.869920, Time  0.443321
2021-09-29 06:42:46.426835 : Epoch  7, Batch    678, Loss  0.855440, Average Loss  0.869907, Time  0.443412
2021-09-29 06:42:52.109966 : Epoch  7, Batch    679, Loss  0.869898, Average Loss  0.869968, Time  0.441544
2021-09-29 06:42:57.549305 : Epoch  7, Batch    680, Loss  0.879211, Average Loss  0.869977, Time  0.443138
2021-09-29 06:43:03.164921 : Epoch  7, Batch    681, Loss  0.868192, Average Loss  0.869996, Time  0.444312
2021-09-29 06:43:08.673839 : Epoch  7, Batch    682, Loss  0.871636, Average Loss  0.869954, Time  0.455802
2021-09-29 06:43:14.019254 : Epoch  7, Batch    683, Loss  0.872370, Average Loss  0.869960, Time  0.441069
2021-09-29 06:43:19.590864 : Epoch  7, Batch    684, Loss  0.870387, Average Loss  0.869906, Time  0.444086
2021-09-29 06:43:25.063920 : Epoch  7, Batch    685, Loss  0.871686, Average Loss  0.869843, Time  0.440571
2021-09-29 06:43:30.560016 : Epoch  7, Batch    686, Loss  0.873874, Average Loss  0.869829, Time  0.443167
2021-09-29 06:43:36.107894 : Epoch  7, Batch    687, Loss  0.873945, Average Loss  0.869874, Time  0.443861
2021-09-29 06:43:41.445862 : Epoch  7, Batch    688, Loss  0.860431, Average Loss  0.869842, Time  0.442816
2021-09-29 06:43:46.963331 : Epoch  7, Batch    689, Loss  0.861749, Average Loss  0.869743, Time  0.441632
2021-09-29 06:43:52.264113 : Epoch  7, Batch    690, Loss  0.869826, Average Loss  0.869751, Time  0.442698
2021-09-29 06:43:57.913155 : Epoch  7, Batch    691, Loss  0.863420, Average Loss  0.869719, Time  0.456414
2021-09-29 06:44:03.571650 : Epoch  7, Batch    692, Loss  0.855600, Average Loss  0.869626, Time  0.443987
2021-09-29 06:44:09.225778 : Epoch  7, Batch    693, Loss  0.857535, Average Loss  0.869484, Time  0.443764
2021-09-29 06:44:14.738361 : Epoch  7, Batch    694, Loss  0.877091, Average Loss  0.869544, Time  0.441165
2021-09-29 06:44:20.148126 : Epoch  7, Batch    695, Loss  0.873481, Average Loss  0.869584, Time  0.441483
2021-09-29 06:44:25.588022 : Epoch  7, Batch    696, Loss  0.871449, Average Loss  0.869599, Time  0.441292
2021-09-29 06:44:31.002371 : Epoch  7, Batch    697, Loss  0.867972, Average Loss  0.869494, Time  0.443392
2021-09-29 06:44:36.650233 : Epoch  7, Batch    698, Loss  0.874187, Average Loss  0.869481, Time  0.443241
2021-09-29 06:44:42.010362 : Epoch  7, Batch    699, Loss  0.867838, Average Loss  0.869527, Time  0.441460
2021-09-29 06:44:47.390092 : Epoch  7, Batch    700, Loss  0.865136, Average Loss  0.869424, Time  0.456904
2021-09-29 06:44:53.149754 : Epoch  7, Batch    701, Loss  0.879157, Average Loss  0.869510, Time  0.443965
2021-09-29 06:44:59.043453 : Epoch  7, Batch    702, Loss  0.887219, Average Loss  0.869593, Time  0.444860
2021-09-29 06:45:04.937811 : Epoch  7, Batch    703, Loss  0.878478, Average Loss  0.869660, Time  0.445852
2021-09-29 06:45:10.844346 : Epoch  7, Batch    704, Loss  0.866467, Average Loss  0.869622, Time  0.448343
2021-09-29 06:45:16.753497 : Epoch  7, Batch    705, Loss  0.872538, Average Loss  0.869662, Time  0.444057
2021-09-29 06:45:22.655285 : Epoch  7, Batch    706, Loss  0.875816, Average Loss  0.869741, Time  0.444362
2021-09-29 06:45:28.566911 : Epoch  7, Batch    707, Loss  0.860022, Average Loss  0.869689, Time  0.444468
2021-09-29 06:45:34.474955 : Epoch  7, Batch    708, Loss  0.871754, Average Loss  0.869725, Time  0.453020
2021-09-29 06:45:40.014452 : Epoch  7, Batch    709, Loss  0.864074, Average Loss  0.869707, Time  0.440485
2021-09-29 06:45:45.283504 : Epoch  7, Batch    710, Loss  0.870064, Average Loss  0.869718, Time  0.440838
2021-09-29 06:45:50.563227 : Epoch  7, Batch    711, Loss  0.858167, Average Loss  0.869644, Time  0.440347
2021-09-29 06:45:55.943137 : Epoch  7, Batch    712, Loss  0.875525, Average Loss  0.869737, Time  0.442055
2021-09-29 06:46:01.392973 : Epoch  7, Batch    713, Loss  0.860492, Average Loss  0.869694, Time  0.441069
2021-09-29 06:46:06.817969 : Epoch  7, Batch    714, Loss  0.868651, Average Loss  0.869649, Time  0.441068
2021-09-29 06:46:12.343882 : Epoch  7, Batch    715, Loss  0.892847, Average Loss  0.869799, Time  0.443421
2021-09-29 06:46:17.838511 : Epoch  7, Batch    716, Loss  0.885345, Average Loss  0.869973, Time  0.442050
2021-09-29 06:46:23.337777 : Epoch  7, Batch    717, Loss  0.867662, Average Loss  0.869918, Time  0.459725
2021-09-29 06:46:28.892151 : Epoch  7, Batch    718, Loss  0.888036, Average Loss  0.870080, Time  0.443459
2021-09-29 06:46:34.549027 : Epoch  7, Batch    719, Loss  0.870709, Average Loss  0.870138, Time  0.444575
2021-09-29 06:46:40.202136 : Epoch  7, Batch    720, Loss  0.883176, Average Loss  0.870183, Time  0.441655
2021-09-29 06:46:45.671923 : Epoch  7, Batch    721, Loss  0.862407, Average Loss  0.870045, Time  0.442113
2021-09-29 06:46:51.201761 : Epoch  7, Batch    722, Loss  0.869970, Average Loss  0.870026, Time  0.441825
2021-09-29 06:46:56.654677 : Epoch  7, Batch    723, Loss  0.873833, Average Loss  0.870045, Time  0.441182
2021-09-29 06:47:02.228436 : Epoch  7, Batch    724, Loss  0.864075, Average Loss  0.870119, Time  0.442477
2021-09-29 06:47:07.705469 : Epoch  7, Batch    725, Loss  0.878702, Average Loss  0.870197, Time  0.455015
2021-09-29 06:47:13.341385 : Epoch  7, Batch    726, Loss  0.851546, Average Loss  0.870140, Time  0.444455
2021-09-29 06:47:18.974932 : Epoch  7, Batch    727, Loss  0.871562, Average Loss  0.870130, Time  0.441705
2021-09-29 06:47:24.481629 : Epoch  7, Batch    728, Loss  0.893812, Average Loss  0.870263, Time  0.443429
2021-09-29 06:47:30.130017 : Epoch  7, Batch    729, Loss  0.865472, Average Loss  0.870236, Time  0.441710
2021-09-29 06:47:35.674417 : Epoch  7, Batch    730, Loss  0.857885, Average Loss  0.870077, Time  0.441812
2021-09-29 06:47:41.259961 : Epoch  7, Batch    731, Loss  0.857853, Average Loss  0.870035, Time  0.446864
2021-09-29 06:47:47.163020 : Epoch  7, Batch    732, Loss  0.868708, Average Loss  0.870009, Time  0.445706
2021-09-29 06:52:24.295833 : CheckPoint: Validation Loss  0.00015255, Best Loss  0.00014870
2021-09-29 06:52:30.216665 : Epoch  7, Batch    733, Loss  0.875037, Average Loss  0.870042, Time  0.457586
2021-09-29 06:52:36.128199 : Epoch  7, Batch    734, Loss  0.877711, Average Loss  0.870009, Time  0.444948
2021-09-29 06:52:42.045524 : Epoch  7, Batch    735, Loss  0.863750, Average Loss  0.870033, Time  0.445780
2021-09-29 06:52:47.961586 : Epoch  7, Batch    736, Loss  0.863110, Average Loss  0.870020, Time  0.447810
2021-09-29 06:52:53.877162 : Epoch  7, Batch    737, Loss  0.888378, Average Loss  0.870176, Time  0.446614
2021-09-29 06:52:59.798190 : Epoch  7, Batch    738, Loss  0.875449, Average Loss  0.870237, Time  0.446113
2021-09-29 06:53:05.717448 : Epoch  7, Batch    739, Loss  0.882586, Average Loss  0.870359, Time  0.445948
2021-09-29 06:53:11.632011 : Epoch  7, Batch    740, Loss  0.880297, Average Loss  0.870443, Time  0.444196
2021-09-29 06:53:17.574806 : Epoch  7, Batch    741, Loss  0.862411, Average Loss  0.870417, Time  0.450868
2021-09-29 06:53:23.495743 : Epoch  7, Batch    742, Loss  0.846894, Average Loss  0.870293, Time  0.444015
2021-09-29 06:53:29.418171 : Epoch  7, Batch    743, Loss  0.888550, Average Loss  0.870397, Time  0.444329
2021-09-29 06:53:35.337595 : Epoch  7, Batch    744, Loss  0.878048, Average Loss  0.870458, Time  0.445585
2021-09-29 06:53:41.251753 : Epoch  7, Batch    745, Loss  0.865311, Average Loss  0.870452, Time  0.445112
2021-09-29 06:53:47.161895 : Epoch  7, Batch    746, Loss  0.864383, Average Loss  0.870356, Time  0.445432
2021-09-29 06:53:53.061959 : Epoch  7, Batch    747, Loss  0.880607, Average Loss  0.870448, Time  0.445554
2021-09-29 06:53:58.994357 : Epoch  7, Batch    748, Loss  0.879352, Average Loss  0.870509, Time  0.444994
2021-09-29 06:54:04.939006 : Epoch  7, Batch    749, Loss  0.851262, Average Loss  0.870381, Time  0.460127
2021-09-29 06:54:10.846012 : Epoch  7, Batch    750, Loss  0.871092, Average Loss  0.870402, Time  0.447181
2021-09-29 06:54:16.749824 : Epoch  7, Batch    751, Loss  0.883544, Average Loss  0.870472, Time  0.444260
2021-09-29 06:54:22.658609 : Epoch  7, Batch    752, Loss  0.868838, Average Loss  0.870459, Time  0.445659
2021-09-29 06:54:28.580314 : Epoch  7, Batch    753, Loss  0.858068, Average Loss  0.870490, Time  0.444405
2021-09-29 06:54:34.497574 : Epoch  7, Batch    754, Loss  0.866448, Average Loss  0.870470, Time  0.443949
2021-09-29 06:54:40.419788 : Epoch  7, Batch    755, Loss  0.865013, Average Loss  0.870451, Time  0.444453
2021-09-29 06:54:46.335750 : Epoch  7, Batch    756, Loss  0.862261, Average Loss  0.870429, Time  0.444297
2021-09-29 06:54:52.268047 : Epoch  7, Batch    757, Loss  0.876306, Average Loss  0.870526, Time  0.458388
2021-09-29 06:54:58.175902 : Epoch  7, Batch    758, Loss  0.864819, Average Loss  0.870550, Time  0.446621
2021-09-29 06:55:04.092406 : Epoch  7, Batch    759, Loss  0.877674, Average Loss  0.870659, Time  0.446163
2021-09-29 06:55:09.991464 : Epoch  7, Batch    760, Loss  0.876224, Average Loss  0.870689, Time  0.445801
2021-09-29 06:55:15.895693 : Epoch  7, Batch    761, Loss  0.895560, Average Loss  0.870752, Time  0.444797
2021-09-29 06:55:21.809851 : Epoch  7, Batch    762, Loss  0.859842, Average Loss  0.870689, Time  0.443866
2021-09-29 06:55:27.728676 : Epoch  7, Batch    763, Loss  0.858994, Average Loss  0.870650, Time  0.444525
2021-09-29 06:55:33.641198 : Epoch  7, Batch    764, Loss  0.890087, Average Loss  0.870723, Time  0.447321
2021-09-29 06:55:39.564927 : Epoch  7, Batch    765, Loss  0.873607, Average Loss  0.870689, Time  0.461319
2021-09-29 06:55:45.481023 : Epoch  7, Batch    766, Loss  0.850914, Average Loss  0.870572, Time  0.445935
2021-09-29 06:55:51.384739 : Epoch  7, Batch    767, Loss  0.901100, Average Loss  0.870760, Time  0.444071
2021-09-29 06:55:57.300483 : Epoch  7, Batch    768, Loss  0.874615, Average Loss  0.870775, Time  0.447387
2021-09-29 06:56:03.208543 : Epoch  7, Batch    769, Loss  0.857784, Average Loss  0.870681, Time  0.444723
2021-09-29 06:56:09.114855 : Epoch  7, Batch    770, Loss  0.855251, Average Loss  0.870537, Time  0.444476
2021-09-29 06:56:15.025054 : Epoch  7, Batch    771, Loss  0.870056, Average Loss  0.870560, Time  0.444777
2021-09-29 06:56:20.940060 : Epoch  7, Batch    772, Loss  0.872410, Average Loss  0.870649, Time  0.448117
2021-09-29 06:56:26.861909 : Epoch  7, Batch    773, Loss  0.871129, Average Loss  0.870660, Time  0.459223
2021-09-29 06:56:32.773674 : Epoch  7, Batch    774, Loss  0.867867, Average Loss  0.870547, Time  0.446248
2021-09-29 06:56:38.686889 : Epoch  7, Batch    775, Loss  0.871369, Average Loss  0.870581, Time  0.444188
2021-09-29 06:56:44.583944 : Epoch  7, Batch    776, Loss  0.859138, Average Loss  0.870495, Time  0.445533
2021-09-29 06:56:50.489032 : Epoch  7, Batch    777, Loss  0.867330, Average Loss  0.870474, Time  0.444708
2021-09-29 06:56:56.415079 : Epoch  7, Batch    778, Loss  0.877476, Average Loss  0.870410, Time  0.444748
2021-09-29 06:57:02.312142 : Epoch  7, Batch    779, Loss  0.864000, Average Loss  0.870376, Time  0.444498
2021-09-29 06:57:08.217237 : Epoch  7, Batch    780, Loss  0.870409, Average Loss  0.870301, Time  0.447344
2021-09-29 06:57:14.126913 : Epoch  7, Batch    781, Loss  0.870434, Average Loss  0.870252, Time  0.458394
2021-09-29 06:57:20.027923 : Epoch  7, Batch    782, Loss  0.859901, Average Loss  0.870077, Time  0.447976
2021-09-29 06:57:25.936615 : Epoch  7, Batch    783, Loss  0.878606, Average Loss  0.870154, Time  0.444528
2021-09-29 06:57:31.832278 : Epoch  7, Batch    784, Loss  0.859152, Average Loss  0.870059, Time  0.443870
2021-09-29 06:57:37.738135 : Epoch  7, Batch    785, Loss  0.877254, Average Loss  0.870088, Time  0.444771
2021-09-29 06:57:43.635841 : Epoch  7, Batch    786, Loss  0.870016, Average Loss  0.870075, Time  0.445158
2021-09-29 06:57:49.552391 : Epoch  7, Batch    787, Loss  0.868939, Average Loss  0.870082, Time  0.447887
2021-09-29 06:57:55.466242 : Epoch  7, Batch    788, Loss  0.877297, Average Loss  0.870125, Time  0.457870
2021-09-29 06:58:01.393392 : Epoch  7, Batch    789, Loss  0.862884, Average Loss  0.870017, Time  0.446394
2021-09-29 06:58:07.294342 : Epoch  7, Batch    790, Loss  0.864652, Average Loss  0.870041, Time  0.445477
2021-09-29 06:58:13.208839 : Epoch  7, Batch    791, Loss  0.865763, Average Loss  0.870019, Time  0.444657
2021-09-29 06:58:19.120563 : Epoch  7, Batch    792, Loss  0.878570, Average Loss  0.870013, Time  0.446338
2021-09-29 06:58:25.035512 : Epoch  7, Batch    793, Loss  0.860864, Average Loss  0.870071, Time  0.446108
2021-09-29 06:58:30.938531 : Epoch  7, Batch    794, Loss  0.863798, Average Loss  0.870052, Time  0.443964
2021-09-29 06:58:36.848877 : Epoch  7, Batch    795, Loss  0.859764, Average Loss  0.869986, Time  0.446821
2021-09-29 06:58:42.776333 : Epoch  7, Batch    796, Loss  0.871074, Average Loss  0.869933, Time  0.455924
2021-09-29 06:58:48.692808 : Epoch  7, Batch    797, Loss  0.870298, Average Loss  0.869996, Time  0.447181
2021-09-29 06:58:54.591615 : Epoch  7, Batch    798, Loss  0.873676, Average Loss  0.870055, Time  0.444307
2021-09-29 06:59:00.504836 : Epoch  7, Batch    799, Loss  0.864080, Average Loss  0.869943, Time  0.445247
2021-09-29 06:59:06.426545 : Epoch  7, Batch    800, Loss  0.866669, Average Loss  0.869945, Time  0.446942
2021-09-29 06:59:12.356619 : Epoch  7, Batch    801, Loss  0.873115, Average Loss  0.869960, Time  0.446258
2021-09-29 06:59:18.255977 : Epoch  7, Batch    802, Loss  0.876544, Average Loss  0.870010, Time  0.444338
2021-09-29 06:59:24.158272 : Epoch  7, Batch    803, Loss  0.861588, Average Loss  0.870035, Time  0.444741
2021-09-29 06:59:30.077127 : Epoch  7, Batch    804, Loss  0.872918, Average Loss  0.869979, Time  0.454513
2021-09-29 06:59:36.002720 : Epoch  7, Batch    805, Loss  0.859367, Average Loss  0.869998, Time  0.446401
2021-09-29 06:59:41.913855 : Epoch  7, Batch    806, Loss  0.871141, Average Loss  0.869976, Time  0.447882
2021-09-29 06:59:47.821824 : Epoch  7, Batch    807, Loss  0.859391, Average Loss  0.869944, Time  0.444252
2021-09-29 06:59:53.724626 : Epoch  7, Batch    808, Loss  0.870345, Average Loss  0.869918, Time  0.445635
2021-09-29 06:59:59.650595 : Epoch  7, Batch    809, Loss  0.860690, Average Loss  0.869851, Time  0.447253
2021-09-29 07:00:05.538417 : Epoch  7, Batch    810, Loss  0.897630, Average Loss  0.869943, Time  0.445632
2021-09-29 07:00:11.443765 : Epoch  7, Batch    811, Loss  0.873948, Average Loss  0.869988, Time  0.448235
2021-09-29 07:00:17.364534 : Epoch  7, Batch    812, Loss  0.858278, Average Loss  0.869904, Time  0.454479
2021-09-29 07:00:23.275299 : Epoch  7, Batch    813, Loss  0.877577, Average Loss  0.870046, Time  0.445132
2021-09-29 07:00:29.200947 : Epoch  7, Batch    814, Loss  0.868055, Average Loss  0.869995, Time  0.444386
2021-09-29 07:00:35.116585 : Epoch  7, Batch    815, Loss  0.856518, Average Loss  0.869961, Time  0.444141
2021-09-29 07:00:41.032991 : Epoch  7, Batch    816, Loss  0.866812, Average Loss  0.869909, Time  0.444428
2021-09-29 07:00:46.946417 : Epoch  7, Batch    817, Loss  0.870378, Average Loss  0.869972, Time  0.445753
2021-09-29 07:00:52.849265 : Epoch  7, Batch    818, Loss  0.856371, Average Loss  0.869919, Time  0.444728
2021-09-29 07:00:58.766025 : Epoch  7, Batch    819, Loss  0.857449, Average Loss  0.869833, Time  0.446369
2021-09-29 07:01:04.683092 : Epoch  7, Batch    820, Loss  0.865992, Average Loss  0.869825, Time  0.456681
2021-09-29 07:01:10.592778 : Epoch  7, Batch    821, Loss  0.865463, Average Loss  0.869836, Time  0.444358
2021-09-29 07:01:16.494817 : Epoch  7, Batch    822, Loss  0.854401, Average Loss  0.869789, Time  0.443932
2021-09-29 07:01:22.419162 : Epoch  7, Batch    823, Loss  0.867859, Average Loss  0.869766, Time  0.445126
2021-09-29 07:01:28.334891 : Epoch  7, Batch    824, Loss  0.861145, Average Loss  0.869679, Time  0.447594
2021-09-29 07:01:34.238343 : Epoch  7, Batch    825, Loss  0.861578, Average Loss  0.869560, Time  0.445536
2021-09-29 07:01:40.145470 : Epoch  7, Batch    826, Loss  0.862061, Average Loss  0.869569, Time  0.444177
2021-09-29 07:01:46.077879 : Epoch  7, Batch    827, Loss  0.855269, Average Loss  0.869453, Time  0.450953
2021-09-29 07:01:52.001601 : Epoch  7, Batch    828, Loss  0.862821, Average Loss  0.869360, Time  0.462064
2021-09-29 07:01:57.904904 : Epoch  7, Batch    829, Loss  0.854092, Average Loss  0.869340, Time  0.447802
2021-09-29 07:02:03.822552 : Epoch  7, Batch    830, Loss  0.859371, Average Loss  0.869340, Time  0.444605
2021-09-29 07:02:09.750646 : Epoch  7, Batch    831, Loss  0.868202, Average Loss  0.869397, Time  0.444342
2021-09-29 07:02:15.675004 : Epoch  7, Batch    832, Loss  0.861804, Average Loss  0.869324, Time  0.447927
2021-09-29 07:06:52.471755 : CheckPoint: Validation Loss  0.00015005, Best Loss  0.00014870
2021-09-29 07:06:58.402854 : Epoch  7, Batch    833, Loss  0.875304, Average Loss  0.869314, Time  0.447598
2021-09-29 07:07:04.308818 : Epoch  7, Batch    834, Loss  0.868302, Average Loss  0.869301, Time  0.444449
2021-09-29 07:07:10.216579 : Epoch  7, Batch    835, Loss  0.880767, Average Loss  0.869385, Time  0.445534
2021-09-29 07:07:16.147900 : Epoch  7, Batch    836, Loss  0.871839, Average Loss  0.869388, Time  0.456151
2021-09-29 07:07:22.059549 : Epoch  7, Batch    837, Loss  0.872140, Average Loss  0.869463, Time  0.444799
2021-09-29 07:07:27.973866 : Epoch  7, Batch    838, Loss  0.862824, Average Loss  0.869478, Time  0.445412
2021-09-29 07:07:33.900733 : Epoch  7, Batch    839, Loss  0.878070, Average Loss  0.869568, Time  0.444245
2021-09-29 07:07:39.822863 : Epoch  7, Batch    840, Loss  0.885148, Average Loss  0.869627, Time  0.447793
2021-09-29 07:07:45.747341 : Epoch  7, Batch    841, Loss  0.868177, Average Loss  0.869677, Time  0.445578
2021-09-29 07:07:51.683052 : Epoch  7, Batch    842, Loss  0.874389, Average Loss  0.869638, Time  0.447568
2021-09-29 07:07:57.604747 : Epoch  7, Batch    843, Loss  0.866299, Average Loss  0.869557, Time  0.444420
2021-09-29 07:08:03.532499 : Epoch  7, Batch    844, Loss  0.862568, Average Loss  0.869503, Time  0.459293
2021-09-29 07:08:09.459773 : Epoch  7, Batch    845, Loss  0.876787, Average Loss  0.869599, Time  0.445098
2021-09-29 07:08:15.363635 : Epoch  7, Batch    846, Loss  0.863188, Average Loss  0.869483, Time  0.443736
2021-09-29 07:08:21.272808 : Epoch  7, Batch    847, Loss  0.869181, Average Loss  0.869458, Time  0.444107
2021-09-29 07:08:27.187337 : Epoch  7, Batch    848, Loss  0.859875, Average Loss  0.869399, Time  0.445241
2021-09-29 07:08:33.094487 : Epoch  7, Batch    849, Loss  0.871416, Average Loss  0.869373, Time  0.444594
2021-09-29 07:08:39.011756 : Epoch  7, Batch    850, Loss  0.871876, Average Loss  0.869278, Time  0.449993
2021-09-29 07:08:44.935135 : Epoch  7, Batch    851, Loss  0.880813, Average Loss  0.869393, Time  0.444509
2021-09-29 07:08:50.857555 : Epoch  7, Batch    852, Loss  0.871182, Average Loss  0.869338, Time  0.461030
2021-09-29 07:08:56.780642 : Epoch  7, Batch    853, Loss  0.870745, Average Loss  0.869292, Time  0.446095
2021-09-29 07:09:02.699606 : Epoch  7, Batch    854, Loss  0.879444, Average Loss  0.869351, Time  0.450030
2021-09-29 07:09:08.612794 : Epoch  7, Batch    855, Loss  0.869068, Average Loss  0.869353, Time  0.445849
2021-09-29 07:09:14.524002 : Epoch  7, Batch    856, Loss  0.876731, Average Loss  0.869379, Time  0.445623
2021-09-29 07:09:20.448420 : Epoch  7, Batch    857, Loss  0.869899, Average Loss  0.869391, Time  0.447061
2021-09-29 07:09:26.346910 : Epoch  7, Batch    858, Loss  0.875041, Average Loss  0.869497, Time  0.446222
2021-09-29 07:09:32.271207 : Epoch  7, Batch    859, Loss  0.867729, Average Loss  0.869522, Time  0.443949
2021-09-29 07:09:38.207810 : Epoch  7, Batch    860, Loss  0.875446, Average Loss  0.869510, Time  0.459186
2021-09-29 07:09:44.111483 : Epoch  7, Batch    861, Loss  0.865848, Average Loss  0.869502, Time  0.445893
2021-09-29 07:09:50.019845 : Epoch  7, Batch    862, Loss  0.864236, Average Loss  0.869506, Time  0.449054
2021-09-29 07:09:55.938775 : Epoch  7, Batch    863, Loss  0.871482, Average Loss  0.869522, Time  0.449253
2021-09-29 07:10:01.879279 : Epoch  7, Batch    864, Loss  0.868747, Average Loss  0.869522, Time  0.444389
2021-09-29 07:10:07.788966 : Epoch  7, Batch    865, Loss  0.860877, Average Loss  0.869446, Time  0.446510
2021-09-29 07:10:13.711911 : Epoch  7, Batch    866, Loss  0.860920, Average Loss  0.869462, Time  0.446434
2021-09-29 07:10:19.629749 : Epoch  7, Batch    867, Loss  0.870404, Average Loss  0.869435, Time  0.444675
2021-09-29 07:10:25.578821 : Epoch  7, Batch    868, Loss  0.853052, Average Loss  0.869320, Time  0.460368
2021-09-29 07:10:31.487254 : Epoch  7, Batch    869, Loss  0.860937, Average Loss  0.869308, Time  0.446898
2021-09-29 07:10:37.403356 : Epoch  7, Batch    870, Loss  0.873499, Average Loss  0.869327, Time  0.446887
2021-09-29 07:10:43.313848 : Epoch  7, Batch    871, Loss  0.864524, Average Loss  0.869323, Time  0.445578
2021-09-29 07:10:49.237350 : Epoch  7, Batch    872, Loss  0.863369, Average Loss  0.869231, Time  0.445127
2021-09-29 07:10:55.172267 : Epoch  7, Batch    873, Loss  0.847001, Average Loss  0.869119, Time  0.446135
2021-09-29 07:11:01.080186 : Epoch  7, Batch    874, Loss  0.886599, Average Loss  0.869281, Time  0.445213
2021-09-29 07:11:07.014086 : Epoch  7, Batch    875, Loss  0.864995, Average Loss  0.869214, Time  0.445715
2021-09-29 07:11:12.950860 : Epoch  7, Batch    876, Loss  0.855911, Average Loss  0.869182, Time  0.457006
2021-09-29 07:11:18.868138 : Epoch  7, Batch    877, Loss  0.871367, Average Loss  0.869183, Time  0.445121
2021-09-29 07:11:24.787755 : Epoch  7, Batch    878, Loss  0.877789, Average Loss  0.869295, Time  0.446064
2021-09-29 07:11:30.716769 : Epoch  7, Batch    879, Loss  0.863060, Average Loss  0.869261, Time  0.446051
2021-09-29 07:11:36.652414 : Epoch  7, Batch    880, Loss  0.875797, Average Loss  0.869244, Time  0.446025
2021-09-29 07:11:42.579484 : Epoch  7, Batch    881, Loss  0.881516, Average Loss  0.869310, Time  0.445690
2021-09-29 07:11:48.498937 : Epoch  7, Batch    882, Loss  0.860981, Average Loss  0.869257, Time  0.447908
2021-09-29 07:11:54.415830 : Epoch  7, Batch    883, Loss  0.860549, Average Loss  0.869198, Time  0.455990
2021-09-29 07:12:00.325856 : Epoch  7, Batch    884, Loss  0.868128, Average Loss  0.869187, Time  0.448951
2021-09-29 07:12:06.235048 : Epoch  7, Batch    885, Loss  0.867219, Average Loss  0.869164, Time  0.446035
2021-09-29 07:12:12.153385 : Epoch  7, Batch    886, Loss  0.876944, Average Loss  0.869180, Time  0.446872
2021-09-29 07:12:18.055908 : Epoch  7, Batch    887, Loss  0.856844, Average Loss  0.869094, Time  0.445088
2021-09-29 07:12:23.967855 : Epoch  7, Batch    888, Loss  0.877341, Average Loss  0.869179, Time  0.445595
2021-09-29 07:12:29.885299 : Epoch  7, Batch    889, Loss  0.864907, Average Loss  0.869194, Time  0.445536
2021-09-29 07:12:35.796199 : Epoch  7, Batch    890, Loss  0.871485, Average Loss  0.869203, Time  0.444685
2021-09-29 07:12:41.714707 : Epoch  7, Batch    891, Loss  0.874889, Average Loss  0.869260, Time  0.456171
2021-09-29 07:12:47.609470 : Epoch  7, Batch    892, Loss  0.864317, Average Loss  0.869304, Time  0.444450
2021-09-29 07:12:53.540653 : Epoch  7, Batch    893, Loss  0.875982, Average Loss  0.869396, Time  0.446710
2021-09-29 07:12:59.464889 : Epoch  7, Batch    894, Loss  0.871736, Average Loss  0.869369, Time  0.445867
2021-09-29 07:13:05.377825 : Epoch  7, Batch    895, Loss  0.875811, Average Loss  0.869381, Time  0.444494
2021-09-29 07:13:11.299138 : Epoch  7, Batch    896, Loss  0.872486, Average Loss  0.869386, Time  0.445788
2021-09-29 07:13:17.225136 : Epoch  7, Batch    897, Loss  0.878677, Average Loss  0.869439, Time  0.444496
2021-09-29 07:13:23.146639 : Epoch  7, Batch    898, Loss  0.880461, Average Loss  0.869471, Time  0.446868
2021-09-29 07:13:29.072551 : Epoch  7, Batch    899, Loss  0.858547, Average Loss  0.869424, Time  0.460851
2021-09-29 07:13:34.990009 : Epoch  7, Batch    900, Loss  0.864765, Average Loss  0.869422, Time  0.444890
2021-09-29 07:13:40.908447 : Epoch  7, Batch    901, Loss  0.875754, Average Loss  0.869405, Time  0.444963
2021-09-29 07:13:46.861221 : Epoch  7, Batch    902, Loss  0.875283, Average Loss  0.869346, Time  0.450756
2021-09-29 07:13:52.781292 : Epoch  7, Batch    903, Loss  0.849493, Average Loss  0.869201, Time  0.447376
2021-09-29 07:13:58.680817 : Epoch  7, Batch    904, Loss  0.871266, Average Loss  0.869225, Time  0.445660
2021-09-29 07:14:04.589203 : Epoch  7, Batch    905, Loss  0.878280, Average Loss  0.869254, Time  0.444845
2021-09-29 07:14:10.516923 : Epoch  7, Batch    906, Loss  0.864098, Average Loss  0.869195, Time  0.446104
2021-09-29 07:14:16.434872 : Epoch  7, Batch    907, Loss  0.861549, Average Loss  0.869203, Time  0.456386
2021-09-29 07:14:22.337838 : Epoch  7, Batch    908, Loss  0.865252, Average Loss  0.869170, Time  0.444350
2021-09-29 07:14:28.242967 : Epoch  7, Batch    909, Loss  0.856962, Average Loss  0.869135, Time  0.443528
2021-09-29 07:14:34.135819 : Epoch  7, Batch    910, Loss  0.872790, Average Loss  0.869148, Time  0.449435
2021-09-29 07:14:40.044075 : Epoch  7, Batch    911, Loss  0.881165, Average Loss  0.869263, Time  0.444948
2021-09-29 07:14:45.960801 : Epoch  7, Batch    912, Loss  0.886056, Average Loss  0.869316, Time  0.445537
2021-09-29 07:14:51.855128 : Epoch  7, Batch    913, Loss  0.871299, Average Loss  0.869370, Time  0.443676
2021-09-29 07:14:57.807772 : Epoch  7, Batch    914, Loss  0.866448, Average Loss  0.869359, Time  0.446053
2021-09-29 07:15:03.728370 : Epoch  7, Batch    915, Loss  0.863079, Average Loss  0.869210, Time  0.456576
2021-09-29 07:15:09.637807 : Epoch  7, Batch    916, Loss  0.890200, Average Loss  0.869234, Time  0.445827
2021-09-29 07:15:15.557223 : Epoch  7, Batch    917, Loss  0.870904, Average Loss  0.869250, Time  0.446129
2021-09-29 07:15:21.454018 : Epoch  7, Batch    918, Loss  0.868400, Average Loss  0.869152, Time  0.445328
2021-09-29 07:15:27.360941 : Epoch  7, Batch    919, Loss  0.894125, Average Loss  0.869269, Time  0.444837
2021-09-29 07:15:33.266134 : Epoch  7, Batch    920, Loss  0.872376, Average Loss  0.869215, Time  0.445945
2021-09-29 07:15:39.160824 : Epoch  7, Batch    921, Loss  0.892866, Average Loss  0.869368, Time  0.445938
2021-09-29 07:15:45.078869 : Epoch  7, Batch    922, Loss  0.871580, Average Loss  0.869376, Time  0.445024
2021-09-29 07:15:51.007397 : Epoch  7, Batch    923, Loss  0.872019, Average Loss  0.869367, Time  0.464103
2021-09-29 07:15:56.927873 : Epoch  7, Batch    924, Loss  0.866909, Average Loss  0.869381, Time  0.444879
2021-09-29 07:16:02.827982 : Epoch  7, Batch    925, Loss  0.866438, Average Loss  0.869319, Time  0.445945
2021-09-29 07:16:08.762927 : Epoch  7, Batch    926, Loss  0.867558, Average Loss  0.869400, Time  0.446634
2021-09-29 07:16:14.671182 : Epoch  7, Batch    927, Loss  0.859144, Average Loss  0.869337, Time  0.448309
2021-09-29 07:16:20.587991 : Epoch  7, Batch    928, Loss  0.867824, Average Loss  0.869208, Time  0.445207
2021-09-29 07:16:20.623746 : Saving Model after 7-th Epoch.
2021-09-29 07:16:21.399465 : Epoch Finished.
2021-09-29 07:16:26.992663 : Batch Shuffled
2021-09-29 07:16:32.905269 : Epoch  8, Batch      1, Loss  0.875177, Average Loss  0.869256, Time  0.445685
2021-09-29 07:16:38.818743 : Epoch  8, Batch      2, Loss  0.862516, Average Loss  0.869279, Time  0.458707
2021-09-29 07:16:44.717610 : Epoch  8, Batch      3, Loss  0.877348, Average Loss  0.869377, Time  0.446876
2021-09-29 07:16:50.621750 : Epoch  8, Batch      4, Loss  0.867079, Average Loss  0.869369, Time  0.444681
2021-09-29 07:21:27.131085 : CheckPoint: Validation Loss  0.00015220, Best Loss  0.00014870
2021-09-29 07:21:33.026655 : Epoch  8, Batch      5, Loss  0.866128, Average Loss  0.869324, Time  0.444452
2021-09-29 07:21:38.941758 : Epoch  8, Batch      6, Loss  0.871187, Average Loss  0.869291, Time  0.448708
2021-09-29 07:21:44.867765 : Epoch  8, Batch      7, Loss  0.866351, Average Loss  0.869304, Time  0.445493
2021-09-29 07:21:50.755829 : Epoch  8, Batch      8, Loss  0.872116, Average Loss  0.869349, Time  0.445042
2021-09-29 07:21:56.670744 : Epoch  8, Batch      9, Loss  0.864460, Average Loss  0.869230, Time  0.445048
2021-09-29 07:22:02.589321 : Epoch  8, Batch     10, Loss  0.876988, Average Loss  0.869237, Time  0.449922
2021-09-29 07:22:08.505111 : Epoch  8, Batch     11, Loss  0.869889, Average Loss  0.869174, Time  0.445371
2021-09-29 07:22:14.405888 : Epoch  8, Batch     12, Loss  0.864521, Average Loss  0.869095, Time  0.444273
2021-09-29 07:22:20.319878 : Epoch  8, Batch     13, Loss  0.875248, Average Loss  0.869159, Time  0.444789
2021-09-29 07:22:26.230603 : Epoch  8, Batch     14, Loss  0.879296, Average Loss  0.869321, Time  0.445454
2021-09-29 07:22:32.161669 : Epoch  8, Batch     15, Loss  0.854743, Average Loss  0.869152, Time  0.447948
2021-09-29 07:22:38.077210 : Epoch  8, Batch     16, Loss  0.869279, Average Loss  0.869108, Time  0.445264
2021-09-29 07:22:43.971813 : Epoch  8, Batch     17, Loss  0.872007, Average Loss  0.869142, Time  0.446729
2021-09-29 07:22:49.895254 : Epoch  8, Batch     18, Loss  0.871552, Average Loss  0.869178, Time  0.458646
2021-09-29 07:22:55.811504 : Epoch  8, Batch     19, Loss  0.865693, Average Loss  0.869103, Time  0.447587
2021-09-29 07:23:01.710990 : Epoch  8, Batch     20, Loss  0.855807, Average Loss  0.868985, Time  0.447398
2021-09-29 07:23:07.635512 : Epoch  8, Batch     21, Loss  0.863787, Average Loss  0.869048, Time  0.445647
2021-09-29 07:23:13.555917 : Epoch  8, Batch     22, Loss  0.863909, Average Loss  0.869012, Time  0.444375
2021-09-29 07:23:19.457477 : Epoch  8, Batch     23, Loss  0.871493, Average Loss  0.868952, Time  0.446599
2021-09-29 07:23:25.358341 : Epoch  8, Batch     24, Loss  0.877073, Average Loss  0.868993, Time  0.447133
2021-09-29 07:23:31.270789 : Epoch  8, Batch     25, Loss  0.877386, Average Loss  0.869090, Time  0.445156
2021-09-29 07:23:37.194288 : Epoch  8, Batch     26, Loss  0.870469, Average Loss  0.869110, Time  0.462350
2021-09-29 07:23:43.105854 : Epoch  8, Batch     27, Loss  0.866777, Average Loss  0.869119, Time  0.446113
2021-09-29 07:23:49.002835 : Epoch  8, Batch     28, Loss  0.875960, Average Loss  0.869187, Time  0.444293
2021-09-29 07:23:54.918935 : Epoch  8, Batch     29, Loss  0.856978, Average Loss  0.869090, Time  0.447222
2021-09-29 07:24:00.815977 : Epoch  8, Batch     30, Loss  0.865373, Average Loss  0.869093, Time  0.446018
2021-09-29 07:24:06.723551 : Epoch  8, Batch     31, Loss  0.861829, Average Loss  0.869014, Time  0.445478
2021-09-29 07:24:12.662047 : Epoch  8, Batch     32, Loss  0.866874, Average Loss  0.868967, Time  0.444171
2021-09-29 07:24:18.571354 : Epoch  8, Batch     33, Loss  0.843409, Average Loss  0.868707, Time  0.447138
2021-09-29 07:24:24.496788 : Epoch  8, Batch     34, Loss  0.872031, Average Loss  0.868767, Time  0.463982
2021-09-29 07:24:30.404202 : Epoch  8, Batch     35, Loss  0.866313, Average Loss  0.868804, Time  0.446995
2021-09-29 07:24:36.319347 : Epoch  8, Batch     36, Loss  0.871630, Average Loss  0.868712, Time  0.444440
2021-09-29 07:24:42.230262 : Epoch  8, Batch     37, Loss  0.869369, Average Loss  0.868691, Time  0.444996
2021-09-29 07:24:48.122369 : Epoch  8, Batch     38, Loss  0.883043, Average Loss  0.868851, Time  0.445303
2021-09-29 07:24:54.037350 : Epoch  8, Batch     39, Loss  0.873403, Average Loss  0.868713, Time  0.444722
2021-09-29 07:24:59.966064 : Epoch  8, Batch     40, Loss  0.866699, Average Loss  0.868673, Time  0.445317
2021-09-29 07:25:05.881812 : Epoch  8, Batch     41, Loss  0.874935, Average Loss  0.868759, Time  0.447844
2021-09-29 07:25:11.823032 : Epoch  8, Batch     42, Loss  0.860656, Average Loss  0.868786, Time  0.460231
2021-09-29 07:25:17.737354 : Epoch  8, Batch     43, Loss  0.866921, Average Loss  0.868770, Time  0.445868
2021-09-29 07:25:23.638084 : Epoch  8, Batch     44, Loss  0.865958, Average Loss  0.868738, Time  0.445368
2021-09-29 07:25:29.536470 : Epoch  8, Batch     45, Loss  0.872190, Average Loss  0.868743, Time  0.445404
2021-09-29 07:25:35.449060 : Epoch  8, Batch     46, Loss  0.885255, Average Loss  0.868830, Time  0.446109
2021-09-29 07:25:41.355772 : Epoch  8, Batch     47, Loss  0.855327, Average Loss  0.868750, Time  0.444329
2021-09-29 07:25:47.268668 : Epoch  8, Batch     48, Loss  0.864447, Average Loss  0.868777, Time  0.445029
2021-09-29 07:25:53.180653 : Epoch  8, Batch     49, Loss  0.875836, Average Loss  0.868819, Time  0.443982
2021-09-29 07:25:59.112167 : Epoch  8, Batch     50, Loss  0.858176, Average Loss  0.868723, Time  0.460134
2021-09-29 07:26:05.020426 : Epoch  8, Batch     51, Loss  0.862559, Average Loss  0.868715, Time  0.446277
2021-09-29 07:26:10.924027 : Epoch  8, Batch     52, Loss  0.857424, Average Loss  0.868650, Time  0.445389
2021-09-29 07:26:16.832509 : Epoch  8, Batch     53, Loss  0.857923, Average Loss  0.868588, Time  0.444800
2021-09-29 07:26:22.730428 : Epoch  8, Batch     54, Loss  0.871873, Average Loss  0.868648, Time  0.444685
2021-09-29 07:26:28.638887 : Epoch  8, Batch     55, Loss  0.863312, Average Loss  0.868571, Time  0.444217
2021-09-29 07:26:34.543817 : Epoch  8, Batch     56, Loss  0.878434, Average Loss  0.868668, Time  0.444717
2021-09-29 07:26:40.455821 : Epoch  8, Batch     57, Loss  0.876845, Average Loss  0.868666, Time  0.446777
2021-09-29 07:26:46.377053 : Epoch  8, Batch     58, Loss  0.877864, Average Loss  0.868705, Time  0.460384
2021-09-29 07:26:52.300733 : Epoch  8, Batch     59, Loss  0.883984, Average Loss  0.868780, Time  0.447221
2021-09-29 07:26:58.222923 : Epoch  8, Batch     60, Loss  0.874813, Average Loss  0.868768, Time  0.448885
2021-09-29 07:27:04.149455 : Epoch  8, Batch     61, Loss  0.873346, Average Loss  0.868820, Time  0.443968
2021-09-29 07:27:10.067215 : Epoch  8, Batch     62, Loss  0.872556, Average Loss  0.868860, Time  0.445230
2021-09-29 07:27:15.973851 : Epoch  8, Batch     63, Loss  0.875554, Average Loss  0.868909, Time  0.444359
2021-09-29 07:27:21.883829 : Epoch  8, Batch     64, Loss  0.885319, Average Loss  0.868942, Time  0.448131
2021-09-29 07:27:27.793316 : Epoch  8, Batch     65, Loss  0.853174, Average Loss  0.868904, Time  0.444992
2021-09-29 07:27:33.718813 : Epoch  8, Batch     66, Loss  0.868666, Average Loss  0.868928, Time  0.459435
2021-09-29 07:27:39.631685 : Epoch  8, Batch     67, Loss  0.866018, Average Loss  0.868959, Time  0.446645
2021-09-29 07:27:45.545203 : Epoch  8, Batch     68, Loss  0.870279, Average Loss  0.868955, Time  0.445431
2021-09-29 07:27:51.453884 : Epoch  8, Batch     69, Loss  0.866545, Average Loss  0.868937, Time  0.445538
2021-09-29 07:27:57.342970 : Epoch  8, Batch     70, Loss  0.884814, Average Loss  0.868992, Time  0.446519
2021-09-29 07:28:03.245563 : Epoch  8, Batch     71, Loss  0.870164, Average Loss  0.869023, Time  0.445021
2021-09-29 07:28:09.146365 : Epoch  8, Batch     72, Loss  0.869948, Average Loss  0.869039, Time  0.446645
2021-09-29 07:28:15.071119 : Epoch  8, Batch     73, Loss  0.862550, Average Loss  0.868986, Time  0.446806
2021-09-29 07:28:21.006506 : Epoch  8, Batch     74, Loss  0.874370, Average Loss  0.868975, Time  0.459430
2021-09-29 07:28:26.917701 : Epoch  8, Batch     75, Loss  0.860566, Average Loss  0.868970, Time  0.444613
2021-09-29 07:28:32.819899 : Epoch  8, Batch     76, Loss  0.872090, Average Loss  0.868966, Time  0.445340
2021-09-29 07:28:38.728820 : Epoch  8, Batch     77, Loss  0.876237, Average Loss  0.869051, Time  0.445181
2021-09-29 07:28:44.627173 : Epoch  8, Batch     78, Loss  0.884510, Average Loss  0.869117, Time  0.445383
2021-09-29 07:28:50.537192 : Epoch  8, Batch     79, Loss  0.875128, Average Loss  0.869196, Time  0.444364
2021-09-29 07:28:56.439570 : Epoch  8, Batch     80, Loss  0.886116, Average Loss  0.869275, Time  0.447864
2021-09-29 07:29:02.346736 : Epoch  8, Batch     81, Loss  0.864924, Average Loss  0.869296, Time  0.445755
2021-09-29 07:29:08.269827 : Epoch  8, Batch     82, Loss  0.855541, Average Loss  0.869086, Time  0.461720
2021-09-29 07:29:14.192813 : Epoch  8, Batch     83, Loss  0.876338, Average Loss  0.869098, Time  0.445766
2021-09-29 07:29:20.089803 : Epoch  8, Batch     84, Loss  0.867890, Average Loss  0.869146, Time  0.446111
2021-09-29 07:29:25.996487 : Epoch  8, Batch     85, Loss  0.868999, Average Loss  0.869103, Time  0.445792
2021-09-29 07:29:31.895156 : Epoch  8, Batch     86, Loss  0.859354, Average Loss  0.869059, Time  0.445078
2021-09-29 07:29:37.814487 : Epoch  8, Batch     87, Loss  0.871068, Average Loss  0.869132, Time  0.444199
2021-09-29 07:29:43.721383 : Epoch  8, Batch     88, Loss  0.865955, Average Loss  0.869128, Time  0.444863
2021-09-29 07:29:49.630970 : Epoch  8, Batch     89, Loss  0.862026, Average Loss  0.869086, Time  0.447058
2021-09-29 07:29:55.537932 : Epoch  8, Batch     90, Loss  0.859511, Average Loss  0.869102, Time  0.454430
2021-09-29 07:30:01.444385 : Epoch  8, Batch     91, Loss  0.861498, Average Loss  0.869122, Time  0.445323
2021-09-29 07:30:07.345581 : Epoch  8, Batch     92, Loss  0.868227, Average Loss  0.869133, Time  0.445191
2021-09-29 07:30:13.240302 : Epoch  8, Batch     93, Loss  0.867072, Average Loss  0.869141, Time  0.447455
2021-09-29 07:30:19.158736 : Epoch  8, Batch     94, Loss  0.864092, Average Loss  0.869190, Time  0.445590
2021-09-29 07:30:25.079628 : Epoch  8, Batch     95, Loss  0.859094, Average Loss  0.869146, Time  0.444786
2021-09-29 07:30:30.988840 : Epoch  8, Batch     96, Loss  0.867269, Average Loss  0.869176, Time  0.445011
2021-09-29 07:30:36.895913 : Epoch  8, Batch     97, Loss  0.876908, Average Loss  0.869253, Time  0.446220
2021-09-29 07:30:42.808199 : Epoch  8, Batch     98, Loss  0.858071, Average Loss  0.869233, Time  0.454349
2021-09-29 07:30:48.715823 : Epoch  8, Batch     99, Loss  0.877225, Average Loss  0.869343, Time  0.445341
2021-09-29 07:30:54.624444 : Epoch  8, Batch    100, Loss  0.870534, Average Loss  0.869381, Time  0.445277
2021-09-29 07:31:00.535076 : Epoch  8, Batch    101, Loss  0.866286, Average Loss  0.869442, Time  0.448166
2021-09-29 07:31:06.435070 : Epoch  8, Batch    102, Loss  0.874161, Average Loss  0.869516, Time  0.444115
2021-09-29 07:31:12.330996 : Epoch  8, Batch    103, Loss  0.868973, Average Loss  0.869520, Time  0.445301
2021-09-29 07:31:18.233167 : Epoch  8, Batch    104, Loss  0.870231, Average Loss  0.869562, Time  0.445109
2021-09-29 07:35:55.262664 : CheckPoint: Validation Loss  0.00015280, Best Loss  0.00014870
2021-09-29 07:36:01.171471 : Epoch  8, Batch    105, Loss  0.884065, Average Loss  0.869606, Time  0.446197
2021-09-29 07:36:07.086974 : Epoch  8, Batch    106, Loss  0.876894, Average Loss  0.869649, Time  0.460266
2021-09-29 07:36:13.004471 : Epoch  8, Batch    107, Loss  0.876772, Average Loss  0.869629, Time  0.450686
2021-09-29 07:36:18.902479 : Epoch  8, Batch    108, Loss  0.876200, Average Loss  0.869651, Time  0.444585
2021-09-29 07:36:24.815304 : Epoch  8, Batch    109, Loss  0.866534, Average Loss  0.869623, Time  0.444661
2021-09-29 07:36:30.724985 : Epoch  8, Batch    110, Loss  0.880074, Average Loss  0.869709, Time  0.445167
2021-09-29 07:36:36.628778 : Epoch  8, Batch    111, Loss  0.844287, Average Loss  0.869540, Time  0.445654
2021-09-29 07:36:42.540009 : Epoch  8, Batch    112, Loss  0.862988, Average Loss  0.869429, Time  0.445020
2021-09-29 07:36:48.465447 : Epoch  8, Batch    113, Loss  0.866692, Average Loss  0.869422, Time  0.454141
2021-09-29 07:36:54.376826 : Epoch  8, Batch    114, Loss  0.873666, Average Loss  0.869418, Time  0.447447
2021-09-29 07:37:00.287357 : Epoch  8, Batch    115, Loss  0.877618, Average Loss  0.869475, Time  0.447135
2021-09-29 07:37:06.189782 : Epoch  8, Batch    116, Loss  0.864028, Average Loss  0.869482, Time  0.444853
2021-09-29 07:37:12.107263 : Epoch  8, Batch    117, Loss  0.868984, Average Loss  0.869443, Time  0.448222
2021-09-29 07:37:18.006468 : Epoch  8, Batch    118, Loss  0.884543, Average Loss  0.869550, Time  0.444217
2021-09-29 07:37:23.915028 : Epoch  8, Batch    119, Loss  0.868146, Average Loss  0.869545, Time  0.447233
2021-09-29 07:37:29.817788 : Epoch  8, Batch    120, Loss  0.854081, Average Loss  0.869516, Time  0.443949
2021-09-29 07:37:35.734594 : Epoch  8, Batch    121, Loss  0.863226, Average Loss  0.869475, Time  0.456270
2021-09-29 07:37:41.634613 : Epoch  8, Batch    122, Loss  0.872310, Average Loss  0.869477, Time  0.445224
2021-09-29 07:37:46.020138 : Epoch  8, Batch    123, Loss  0.869583, Average Loss  0.869421, Time  0.345207
2021-09-29 07:37:51.937731 : Epoch  8, Batch    124, Loss  0.885210, Average Loss  0.869491, Time  0.445212
2021-09-29 07:37:57.855162 : Epoch  8, Batch    125, Loss  0.866529, Average Loss  0.869470, Time  0.444758
2021-09-29 07:38:03.765670 : Epoch  8, Batch    126, Loss  0.855942, Average Loss  0.869353, Time  0.448163
2021-09-29 07:38:09.685184 : Epoch  8, Batch    127, Loss  0.870723, Average Loss  0.869361, Time  0.446314
2021-09-29 07:38:15.602197 : Epoch  8, Batch    128, Loss  0.857055, Average Loss  0.869262, Time  0.447856
2021-09-29 07:38:21.535765 : Epoch  8, Batch    129, Loss  0.854815, Average Loss  0.869187, Time  0.455308
2021-09-29 07:38:27.439765 : Epoch  8, Batch    130, Loss  0.867869, Average Loss  0.869151, Time  0.444122
2021-09-29 07:38:33.343822 : Epoch  8, Batch    131, Loss  0.871320, Average Loss  0.869169, Time  0.443920
2021-09-29 07:38:39.293047 : Epoch  8, Batch    132, Loss  0.886841, Average Loss  0.869226, Time  0.446055
2021-09-29 07:38:45.204727 : Epoch  8, Batch    133, Loss  0.850564, Average Loss  0.869150, Time  0.445484
2021-09-29 07:38:51.118302 : Epoch  8, Batch    134, Loss  0.862404, Average Loss  0.869141, Time  0.447824
2021-09-29 07:38:57.037796 : Epoch  8, Batch    135, Loss  0.874692, Average Loss  0.869157, Time  0.447287
2021-09-29 07:39:02.954873 : Epoch  8, Batch    136, Loss  0.859958, Average Loss  0.869113, Time  0.445385
2021-09-29 07:39:08.868882 : Epoch  8, Batch    137, Loss  0.867999, Average Loss  0.869148, Time  0.453931
2021-09-29 07:39:14.801439 : Epoch  8, Batch    138, Loss  0.876684, Average Loss  0.869227, Time  0.448833
2021-09-29 07:39:20.705896 : Epoch  8, Batch    139, Loss  0.891935, Average Loss  0.869335, Time  0.445034
2021-09-29 07:39:26.617062 : Epoch  8, Batch    140, Loss  0.858607, Average Loss  0.869362, Time  0.446476
2021-09-29 07:39:32.512985 : Epoch  8, Batch    141, Loss  0.883982, Average Loss  0.869478, Time  0.444829
2021-09-29 07:39:38.428511 : Epoch  8, Batch    142, Loss  0.866987, Average Loss  0.869445, Time  0.449311
2021-09-29 07:39:44.340704 : Epoch  8, Batch    143, Loss  0.862228, Average Loss  0.869434, Time  0.445180
2021-09-29 07:39:50.253380 : Epoch  8, Batch    144, Loss  0.882909, Average Loss  0.869531, Time  0.446630
2021-09-29 07:39:56.161988 : Epoch  8, Batch    145, Loss  0.869867, Average Loss  0.869646, Time  0.454593
2021-09-29 07:40:02.106682 : Epoch  8, Batch    146, Loss  0.877517, Average Loss  0.869600, Time  0.445151
2021-09-29 07:40:08.015745 : Epoch  8, Batch    147, Loss  0.863511, Average Loss  0.869593, Time  0.448331
2021-09-29 07:40:13.929756 : Epoch  8, Batch    148, Loss  0.876313, Average Loss  0.869695, Time  0.444456
2021-09-29 07:40:19.825143 : Epoch  8, Batch    149, Loss  0.859196, Average Loss  0.869634, Time  0.445610
2021-09-29 07:40:25.718948 : Epoch  8, Batch    150, Loss  0.867727, Average Loss  0.869584, Time  0.445374
2021-09-29 07:40:31.632663 : Epoch  8, Batch    151, Loss  0.861418, Average Loss  0.869576, Time  0.444968
2021-09-29 07:40:37.544213 : Epoch  8, Batch    152, Loss  0.867162, Average Loss  0.869532, Time  0.447108
2021-09-29 07:40:43.451111 : Epoch  8, Batch    153, Loss  0.862531, Average Loss  0.869437, Time  0.453386
2021-09-29 07:40:49.358189 : Epoch  8, Batch    154, Loss  0.862909, Average Loss  0.869447, Time  0.444219
2021-09-29 07:40:55.266022 : Epoch  8, Batch    155, Loss  0.862476, Average Loss  0.869457, Time  0.445227
2021-09-29 07:41:01.175849 : Epoch  8, Batch    156, Loss  0.883626, Average Loss  0.869534, Time  0.446253
2021-09-29 07:41:07.081249 : Epoch  8, Batch    157, Loss  0.857188, Average Loss  0.869484, Time  0.444519
2021-09-29 07:41:12.986594 : Epoch  8, Batch    158, Loss  0.854785, Average Loss  0.869373, Time  0.446422
2021-09-29 07:41:18.920165 : Epoch  8, Batch    159, Loss  0.870673, Average Loss  0.869442, Time  0.446970
2021-09-29 07:41:24.835883 : Epoch  8, Batch    160, Loss  0.865806, Average Loss  0.869385, Time  0.446311
2021-09-29 07:41:30.757872 : Epoch  8, Batch    161, Loss  0.880629, Average Loss  0.869463, Time  0.453962
2021-09-29 07:41:36.670450 : Epoch  8, Batch    162, Loss  0.877428, Average Loss  0.869493, Time  0.445111
2021-09-29 07:41:42.570676 : Epoch  8, Batch    163, Loss  0.865660, Average Loss  0.869447, Time  0.445120
2021-09-29 07:41:48.474770 : Epoch  8, Batch    164, Loss  0.864751, Average Loss  0.869449, Time  0.445411
2021-09-29 07:41:54.392983 : Epoch  8, Batch    165, Loss  0.858512, Average Loss  0.869362, Time  0.444546
2021-09-29 07:42:00.310567 : Epoch  8, Batch    166, Loss  0.877389, Average Loss  0.869390, Time  0.444730
2021-09-29 07:42:06.210696 : Epoch  8, Batch    167, Loss  0.861635, Average Loss  0.869319, Time  0.446147
2021-09-29 07:42:12.123926 : Epoch  8, Batch    168, Loss  0.874576, Average Loss  0.869330, Time  0.444861
2021-09-29 07:42:18.043942 : Epoch  8, Batch    169, Loss  0.855290, Average Loss  0.869213, Time  0.456007
2021-09-29 07:42:23.972625 : Epoch  8, Batch    170, Loss  0.866455, Average Loss  0.869143, Time  0.447564
2021-09-29 07:42:29.879359 : Epoch  8, Batch    171, Loss  0.870198, Average Loss  0.869201, Time  0.444195
2021-09-29 07:42:35.782269 : Epoch  8, Batch    172, Loss  0.884928, Average Loss  0.869302, Time  0.445050
2021-09-29 07:42:41.702503 : Epoch  8, Batch    173, Loss  0.868925, Average Loss  0.869267, Time  0.445794
2021-09-29 07:42:47.633877 : Epoch  8, Batch    174, Loss  0.871157, Average Loss  0.869247, Time  0.450673
2021-09-29 07:42:53.538849 : Epoch  8, Batch    175, Loss  0.861677, Average Loss  0.869308, Time  0.445231
2021-09-29 07:42:59.462778 : Epoch  8, Batch    176, Loss  0.885114, Average Loss  0.869377, Time  0.457880
2021-09-29 07:43:05.371979 : Epoch  8, Batch    177, Loss  0.874334, Average Loss  0.869357, Time  0.445757
2021-09-29 07:43:11.278839 : Epoch  8, Batch    178, Loss  0.860619, Average Loss  0.869340, Time  0.448441
2021-09-29 07:43:17.176009 : Epoch  8, Batch    179, Loss  0.879633, Average Loss  0.869430, Time  0.444526
2021-09-29 07:43:23.078068 : Epoch  8, Batch    180, Loss  0.871829, Average Loss  0.869463, Time  0.444749
2021-09-29 07:43:28.998590 : Epoch  8, Batch    181, Loss  0.880443, Average Loss  0.869581, Time  0.444947
2021-09-29 07:43:34.915061 : Epoch  8, Batch    182, Loss  0.873368, Average Loss  0.869583, Time  0.444883
2021-09-29 07:43:40.819806 : Epoch  8, Batch    183, Loss  0.880819, Average Loss  0.869582, Time  0.449647
2021-09-29 07:43:46.739815 : Epoch  8, Batch    184, Loss  0.864182, Average Loss  0.869472, Time  0.457400
2021-09-29 07:43:52.653915 : Epoch  8, Batch    185, Loss  0.874186, Average Loss  0.869487, Time  0.447437
2021-09-29 07:43:58.587120 : Epoch  8, Batch    186, Loss  0.874833, Average Loss  0.869529, Time  0.446248
2021-09-29 07:44:04.491391 : Epoch  8, Batch    187, Loss  0.881166, Average Loss  0.869619, Time  0.446670
2021-09-29 07:44:10.401783 : Epoch  8, Batch    188, Loss  0.877829, Average Loss  0.869557, Time  0.451023
2021-09-29 07:44:16.309625 : Epoch  8, Batch    189, Loss  0.882412, Average Loss  0.869615, Time  0.444099
2021-09-29 07:44:22.219404 : Epoch  8, Batch    190, Loss  0.854601, Average Loss  0.869546, Time  0.444565
2021-09-29 07:44:28.135405 : Epoch  8, Batch    191, Loss  0.873485, Average Loss  0.869443, Time  0.445108
2021-09-29 07:44:34.069933 : Epoch  8, Batch    192, Loss  0.861297, Average Loss  0.869387, Time  0.457983
2021-09-29 07:44:39.969637 : Epoch  8, Batch    193, Loss  0.860004, Average Loss  0.869223, Time  0.445128
2021-09-29 07:44:45.875733 : Epoch  8, Batch    194, Loss  0.866930, Average Loss  0.869200, Time  0.445148
2021-09-29 07:44:51.779624 : Epoch  8, Batch    195, Loss  0.863069, Average Loss  0.869155, Time  0.445255
2021-09-29 07:44:57.698783 : Epoch  8, Batch    196, Loss  0.860625, Average Loss  0.869124, Time  0.445821
2021-09-29 07:45:03.598154 : Epoch  8, Batch    197, Loss  0.864863, Average Loss  0.869116, Time  0.444683
2021-09-29 07:45:09.504382 : Epoch  8, Batch    198, Loss  0.868624, Average Loss  0.869121, Time  0.446140
2021-09-29 07:45:15.433020 : Epoch  8, Batch    199, Loss  0.867975, Average Loss  0.869165, Time  0.445986
2021-09-29 07:45:21.351914 : Epoch  8, Batch    200, Loss  0.872346, Average Loss  0.869188, Time  0.455452
2021-09-29 07:45:27.270855 : Epoch  8, Batch    201, Loss  0.857554, Average Loss  0.869100, Time  0.445647
2021-09-29 07:45:33.184411 : Epoch  8, Batch    202, Loss  0.881477, Average Loss  0.869194, Time  0.448647
2021-09-29 07:45:39.110851 : Epoch  8, Batch    203, Loss  0.865787, Average Loss  0.869137, Time  0.446218
2021-09-29 07:45:45.025040 : Epoch  8, Batch    204, Loss  0.880556, Average Loss  0.869204, Time  0.447439
2021-09-29 07:50:21.626917 : CheckPoint: Validation Loss  0.00015189, Best Loss  0.00014870
2021-09-29 07:50:27.530772 : Epoch  8, Batch    205, Loss  0.865865, Average Loss  0.869203, Time  0.443985
2021-09-29 07:50:33.439662 : Epoch  8, Batch    206, Loss  0.869175, Average Loss  0.869193, Time  0.444757
2021-09-29 07:50:39.338145 : Epoch  8, Batch    207, Loss  0.865085, Average Loss  0.869186, Time  0.445714
2021-09-29 07:50:45.260850 : Epoch  8, Batch    208, Loss  0.864926, Average Loss  0.869150, Time  0.454745
2021-09-29 07:50:51.171768 : Epoch  8, Batch    209, Loss  0.851115, Average Loss  0.869084, Time  0.444379
2021-09-29 07:50:57.083266 : Epoch  8, Batch    210, Loss  0.880861, Average Loss  0.869103, Time  0.448511
2021-09-29 07:51:02.991697 : Epoch  8, Batch    211, Loss  0.875038, Average Loss  0.869129, Time  0.447580
2021-09-29 07:51:08.897430 : Epoch  8, Batch    212, Loss  0.860589, Average Loss  0.869109, Time  0.444115
2021-09-29 07:51:14.801293 : Epoch  8, Batch    213, Loss  0.859527, Average Loss  0.869031, Time  0.444719
2021-09-29 07:51:20.706659 : Epoch  8, Batch    214, Loss  0.865745, Average Loss  0.868963, Time  0.446522
2021-09-29 07:51:26.616039 : Epoch  8, Batch    215, Loss  0.868956, Average Loss  0.869034, Time  0.446922
2021-09-29 07:51:32.536398 : Epoch  8, Batch    216, Loss  0.878298, Average Loss  0.869079, Time  0.455552
2021-09-29 07:51:38.447994 : Epoch  8, Batch    217, Loss  0.857332, Average Loss  0.869006, Time  0.446007
2021-09-29 07:51:44.351891 : Epoch  8, Batch    218, Loss  0.871605, Average Loss  0.869006, Time  0.447611
2021-09-29 07:51:50.242655 : Epoch  8, Batch    219, Loss  0.874136, Average Loss  0.869048, Time  0.446472
2021-09-29 07:51:56.151853 : Epoch  8, Batch    220, Loss  0.876527, Average Loss  0.869152, Time  0.445780
2021-09-29 07:52:02.047607 : Epoch  8, Batch    221, Loss  0.884998, Average Loss  0.869258, Time  0.446090
2021-09-29 07:52:07.934609 : Epoch  8, Batch    222, Loss  0.872719, Average Loss  0.869302, Time  0.444637
2021-09-29 07:52:13.834680 : Epoch  8, Batch    223, Loss  0.876315, Average Loss  0.869326, Time  0.447766
2021-09-29 07:52:19.749779 : Epoch  8, Batch    224, Loss  0.886050, Average Loss  0.869371, Time  0.461699
2021-09-29 07:52:25.659179 : Epoch  8, Batch    225, Loss  0.854861, Average Loss  0.869258, Time  0.445818
2021-09-29 07:52:31.549517 : Epoch  8, Batch    226, Loss  0.874039, Average Loss  0.869276, Time  0.446099
2021-09-29 07:52:37.445011 : Epoch  8, Batch    227, Loss  0.859514, Average Loss  0.869240, Time  0.445232
2021-09-29 07:52:43.361395 : Epoch  8, Batch    228, Loss  0.866804, Average Loss  0.869194, Time  0.445884
2021-09-29 07:52:49.264925 : Epoch  8, Batch    229, Loss  0.874130, Average Loss  0.869280, Time  0.445280
2021-09-29 07:52:55.166753 : Epoch  8, Batch    230, Loss  0.855394, Average Loss  0.869230, Time  0.445246
2021-09-29 07:53:01.066649 : Epoch  8, Batch    231, Loss  0.875864, Average Loss  0.869300, Time  0.448124
2021-09-29 07:53:06.973654 : Epoch  8, Batch    232, Loss  0.871417, Average Loss  0.869323, Time  0.456414
2021-09-29 07:53:12.890140 : Epoch  8, Batch    233, Loss  0.859556, Average Loss  0.869403, Time  0.444468
2021-09-29 07:53:18.797006 : Epoch  8, Batch    234, Loss  0.854806, Average Loss  0.869317, Time  0.446626
2021-09-29 07:53:24.699955 : Epoch  8, Batch    235, Loss  0.876973, Average Loss  0.869371, Time  0.446429
2021-09-29 07:53:30.602836 : Epoch  8, Batch    236, Loss  0.867514, Average Loss  0.869350, Time  0.444962
2021-09-29 07:53:36.494708 : Epoch  8, Batch    237, Loss  0.865239, Average Loss  0.869329, Time  0.444995
2021-09-29 07:53:42.382678 : Epoch  8, Batch    238, Loss  0.862967, Average Loss  0.869229, Time  0.446235
2021-09-29 07:53:48.284549 : Epoch  8, Batch    239, Loss  0.867942, Average Loss  0.869202, Time  0.445053
2021-09-29 07:53:54.211748 : Epoch  8, Batch    240, Loss  0.870704, Average Loss  0.869222, Time  0.460598
2021-09-29 07:54:00.117155 : Epoch  8, Batch    241, Loss  0.870342, Average Loss  0.869199, Time  0.446099
2021-09-29 07:54:06.032780 : Epoch  8, Batch    242, Loss  0.883842, Average Loss  0.869315, Time  0.445954
2021-09-29 07:54:11.927186 : Epoch  8, Batch    243, Loss  0.861631, Average Loss  0.869288, Time  0.447330
2021-09-29 07:54:17.816741 : Epoch  8, Batch    244, Loss  0.881060, Average Loss  0.869364, Time  0.445501
2021-09-29 07:54:23.716736 : Epoch  8, Batch    245, Loss  0.867022, Average Loss  0.869338, Time  0.444544
2021-09-29 07:54:29.634709 : Epoch  8, Batch    246, Loss  0.880001, Average Loss  0.869312, Time  0.446845
2021-09-29 07:54:35.552926 : Epoch  8, Batch    247, Loss  0.870005, Average Loss  0.869385, Time  0.455558
2021-09-29 07:54:41.448755 : Epoch  8, Batch    248, Loss  0.870055, Average Loss  0.869413, Time  0.445349
2021-09-29 07:54:47.361214 : Epoch  8, Batch    249, Loss  0.867142, Average Loss  0.869370, Time  0.446370
2021-09-29 07:54:53.268707 : Epoch  8, Batch    250, Loss  0.863814, Average Loss  0.869398, Time  0.445750
2021-09-29 07:54:59.165789 : Epoch  8, Batch    251, Loss  0.852176, Average Loss  0.869346, Time  0.445275
2021-09-29 07:55:05.073786 : Epoch  8, Batch    252, Loss  0.874709, Average Loss  0.869432, Time  0.446023
2021-09-29 07:55:10.963760 : Epoch  8, Batch    253, Loss  0.855676, Average Loss  0.869421, Time  0.447217
2021-09-29 07:55:16.875630 : Epoch  8, Batch    254, Loss  0.871008, Average Loss  0.869417, Time  0.446464
2021-09-29 07:55:22.817254 : Epoch  8, Batch    255, Loss  0.878094, Average Loss  0.869491, Time  0.458564
2021-09-29 07:55:28.734053 : Epoch  8, Batch    256, Loss  0.872244, Average Loss  0.869460, Time  0.447327
2021-09-29 07:55:34.633770 : Epoch  8, Batch    257, Loss  0.867674, Average Loss  0.869414, Time  0.449547
2021-09-29 07:55:40.527151 : Epoch  8, Batch    258, Loss  0.872674, Average Loss  0.869388, Time  0.444701
2021-09-29 07:55:46.449923 : Epoch  8, Batch    259, Loss  0.866147, Average Loss  0.869299, Time  0.447072
2021-09-29 07:55:52.354812 : Epoch  8, Batch    260, Loss  0.871454, Average Loss  0.869282, Time  0.444812
2021-09-29 07:55:58.263457 : Epoch  8, Batch    261, Loss  0.875780, Average Loss  0.869294, Time  0.446997
2021-09-29 07:56:04.181854 : Epoch  8, Batch    262, Loss  0.870543, Average Loss  0.869284, Time  0.444866
2021-09-29 07:56:10.108724 : Epoch  8, Batch    263, Loss  0.870067, Average Loss  0.869257, Time  0.457786
2021-09-29 07:56:16.026767 : Epoch  8, Batch    264, Loss  0.873588, Average Loss  0.869198, Time  0.445505
2021-09-29 07:56:21.944691 : Epoch  8, Batch    265, Loss  0.875852, Average Loss  0.869311, Time  0.448792
2021-09-29 07:56:27.857999 : Epoch  8, Batch    266, Loss  0.877981, Average Loss  0.869358, Time  0.445463
2021-09-29 07:56:33.765603 : Epoch  8, Batch    267, Loss  0.866851, Average Loss  0.869362, Time  0.444818
2021-09-29 07:56:39.676289 : Epoch  8, Batch    268, Loss  0.864238, Average Loss  0.869332, Time  0.445979
2021-09-29 07:56:45.583522 : Epoch  8, Batch    269, Loss  0.878999, Average Loss  0.869394, Time  0.445646
2021-09-29 07:56:51.498483 : Epoch  8, Batch    270, Loss  0.857421, Average Loss  0.869257, Time  0.445946
2021-09-29 07:56:57.423462 : Epoch  8, Batch    271, Loss  0.873028, Average Loss  0.869271, Time  0.457972
2021-09-29 07:57:03.361156 : Epoch  8, Batch    272, Loss  0.867367, Average Loss  0.869258, Time  0.448687
2021-09-29 07:57:09.266848 : Epoch  8, Batch    273, Loss  0.861537, Average Loss  0.869253, Time  0.445080
2021-09-29 07:57:15.182527 : Epoch  8, Batch    274, Loss  0.853975, Average Loss  0.869151, Time  0.448822
2021-09-29 07:57:21.113794 : Epoch  8, Batch    275, Loss  0.881278, Average Loss  0.869255, Time  0.446533
2021-09-29 07:57:27.031187 : Epoch  8, Batch    276, Loss  0.880681, Average Loss  0.869298, Time  0.446735
2021-09-29 07:57:32.945510 : Epoch  8, Batch    277, Loss  0.865734, Average Loss  0.869245, Time  0.446733
2021-09-29 07:57:38.864024 : Epoch  8, Batch    278, Loss  0.861386, Average Loss  0.869130, Time  0.445373
2021-09-29 07:57:44.787743 : Epoch  8, Batch    279, Loss  0.867909, Average Loss  0.869094, Time  0.455637
2021-09-29 07:57:50.685846 : Epoch  8, Batch    280, Loss  0.861312, Average Loss  0.868970, Time  0.447129
2021-09-29 07:57:56.601786 : Epoch  8, Batch    281, Loss  0.868386, Average Loss  0.868987, Time  0.446840
2021-09-29 07:58:02.525015 : Epoch  8, Batch    282, Loss  0.866462, Average Loss  0.869042, Time  0.445233
2021-09-29 07:58:08.442215 : Epoch  8, Batch    283, Loss  0.867542, Average Loss  0.868998, Time  0.444533
2021-09-29 07:58:14.358779 : Epoch  8, Batch    284, Loss  0.876793, Average Loss  0.869042, Time  0.451044
2021-09-29 07:58:20.286413 : Epoch  8, Batch    285, Loss  0.877260, Average Loss  0.869083, Time  0.445699
2021-09-29 07:58:26.203889 : Epoch  8, Batch    286, Loss  0.876669, Average Loss  0.869170, Time  0.444830
2021-09-29 07:58:32.124290 : Epoch  8, Batch    287, Loss  0.865136, Average Loss  0.869140, Time  0.461856
2021-09-29 07:58:38.015738 : Epoch  8, Batch    288, Loss  0.854128, Average Loss  0.869081, Time  0.444703
2021-09-29 07:58:43.919617 : Epoch  8, Batch    289, Loss  0.876132, Average Loss  0.869152, Time  0.445308
2021-09-29 07:58:49.820941 : Epoch  8, Batch    290, Loss  0.899533, Average Loss  0.869352, Time  0.445966
2021-09-29 07:58:55.723775 : Epoch  8, Batch    291, Loss  0.876054, Average Loss  0.869425, Time  0.445423
2021-09-29 07:59:01.623323 : Epoch  8, Batch    292, Loss  0.884743, Average Loss  0.869507, Time  0.444424
2021-09-29 07:59:07.524815 : Epoch  8, Batch    293, Loss  0.869308, Average Loss  0.869518, Time  0.443887
2021-09-29 07:59:13.424655 : Epoch  8, Batch    294, Loss  0.864852, Average Loss  0.869522, Time  0.446398
2021-09-29 07:59:19.339843 : Epoch  8, Batch    295, Loss  0.862272, Average Loss  0.869538, Time  0.455558
2021-09-29 07:59:25.242747 : Epoch  8, Batch    296, Loss  0.851259, Average Loss  0.869458, Time  0.446332
2021-09-29 07:59:31.151858 : Epoch  8, Batch    297, Loss  0.865508, Average Loss  0.869401, Time  0.444970
2021-09-29 07:59:37.054962 : Epoch  8, Batch    298, Loss  0.875605, Average Loss  0.869489, Time  0.446180
2021-09-29 07:59:42.963168 : Epoch  8, Batch    299, Loss  0.873911, Average Loss  0.869472, Time  0.445909
2021-09-29 07:59:48.880891 : Epoch  8, Batch    300, Loss  0.869984, Average Loss  0.869469, Time  0.446405
2021-09-29 07:59:54.803649 : Epoch  8, Batch    301, Loss  0.859750, Average Loss  0.869437, Time  0.448031
2021-09-29 08:00:00.711111 : Epoch  8, Batch    302, Loss  0.873408, Average Loss  0.869433, Time  0.444381
2021-09-29 08:00:06.641268 : Epoch  8, Batch    303, Loss  0.881981, Average Loss  0.869498, Time  0.455585
2021-09-29 08:00:12.546886 : Epoch  8, Batch    304, Loss  0.870979, Average Loss  0.869502, Time  0.446237
2021-09-29 08:04:49.380783 : CheckPoint: Validation Loss  0.00014971, Best Loss  0.00014870
2021-09-29 08:04:55.299765 : Epoch  8, Batch    305, Loss  0.874053, Average Loss  0.869452, Time  0.445884
2021-09-29 08:05:01.234543 : Epoch  8, Batch    306, Loss  0.855820, Average Loss  0.869346, Time  0.448640
2021-09-29 08:05:07.152767 : Epoch  8, Batch    307, Loss  0.876183, Average Loss  0.869343, Time  0.446157
2021-09-29 08:05:13.074785 : Epoch  8, Batch    308, Loss  0.870597, Average Loss  0.869315, Time  0.449390
2021-09-29 08:05:18.976734 : Epoch  8, Batch    309, Loss  0.870103, Average Loss  0.869333, Time  0.444351
2021-09-29 08:05:24.880702 : Epoch  8, Batch    310, Loss  0.858402, Average Loss  0.869225, Time  0.444889
2021-09-29 08:05:30.791594 : Epoch  8, Batch    311, Loss  0.876180, Average Loss  0.869384, Time  0.460846
2021-09-29 08:05:36.695854 : Epoch  8, Batch    312, Loss  0.883961, Average Loss  0.869489, Time  0.445814
2021-09-29 08:05:42.598885 : Epoch  8, Batch    313, Loss  0.867885, Average Loss  0.869495, Time  0.448049
2021-09-29 08:05:48.490309 : Epoch  8, Batch    314, Loss  0.871953, Average Loss  0.869487, Time  0.446734
2021-09-29 08:05:54.395115 : Epoch  8, Batch    315, Loss  0.860882, Average Loss  0.869403, Time  0.445559
2021-09-29 08:06:00.322685 : Epoch  8, Batch    316, Loss  0.873930, Average Loss  0.869452, Time  0.446289
2021-09-29 08:06:06.219820 : Epoch  8, Batch    317, Loss  0.867179, Average Loss  0.869443, Time  0.445829
2021-09-29 08:06:12.127791 : Epoch  8, Batch    318, Loss  0.871214, Average Loss  0.869377, Time  0.444970
2021-09-29 08:06:18.049492 : Epoch  8, Batch    319, Loss  0.870925, Average Loss  0.869391, Time  0.461248
2021-09-29 08:06:23.953672 : Epoch  8, Batch    320, Loss  0.869419, Average Loss  0.869467, Time  0.445339
2021-09-29 08:06:29.859359 : Epoch  8, Batch    321, Loss  0.873421, Average Loss  0.869518, Time  0.444100
2021-09-29 08:06:35.776326 : Epoch  8, Batch    322, Loss  0.864383, Average Loss  0.869479, Time  0.444595
2021-09-29 08:06:41.684884 : Epoch  8, Batch    323, Loss  0.870682, Average Loss  0.869484, Time  0.444960
2021-09-29 08:06:47.615788 : Epoch  8, Batch    324, Loss  0.878672, Average Loss  0.869452, Time  0.445960
2021-09-29 08:06:53.518842 : Epoch  8, Batch    325, Loss  0.878284, Average Loss  0.869510, Time  0.445092
2021-09-29 08:06:59.443647 : Epoch  8, Batch    326, Loss  0.872848, Average Loss  0.869595, Time  0.446648
2021-09-29 08:07:05.359820 : Epoch  8, Batch    327, Loss  0.875386, Average Loss  0.869618, Time  0.461036
2021-09-29 08:07:11.260483 : Epoch  8, Batch    328, Loss  0.860082, Average Loss  0.869633, Time  0.444317
2021-09-29 08:07:17.168430 : Epoch  8, Batch    329, Loss  0.882895, Average Loss  0.869774, Time  0.444785
2021-09-29 08:07:23.078280 : Epoch  8, Batch    330, Loss  0.863993, Average Loss  0.869754, Time  0.444957
2021-09-29 08:07:28.992764 : Epoch  8, Batch    331, Loss  0.891334, Average Loss  0.869854, Time  0.446160
2021-09-29 08:07:34.917015 : Epoch  8, Batch    332, Loss  0.857237, Average Loss  0.869706, Time  0.444507
2021-09-29 08:07:40.828507 : Epoch  8, Batch    333, Loss  0.862477, Average Loss  0.869766, Time  0.445295
2021-09-29 08:07:46.737979 : Epoch  8, Batch    334, Loss  0.862982, Average Loss  0.869769, Time  0.445470
2021-09-29 08:07:52.671633 : Epoch  8, Batch    335, Loss  0.871094, Average Loss  0.869751, Time  0.461502
2021-09-29 08:07:58.590876 : Epoch  8, Batch    336, Loss  0.861089, Average Loss  0.869756, Time  0.447706
2021-09-29 08:08:04.504251 : Epoch  8, Batch    337, Loss  0.874119, Average Loss  0.869787, Time  0.446132
2021-09-29 08:08:10.412089 : Epoch  8, Batch    338, Loss  0.856215, Average Loss  0.869685, Time  0.447024
2021-09-29 08:08:16.322521 : Epoch  8, Batch    339, Loss  0.859593, Average Loss  0.869523, Time  0.446535
2021-09-29 08:08:22.225033 : Epoch  8, Batch    340, Loss  0.877798, Average Loss  0.869619, Time  0.444838
2021-09-29 08:08:28.135839 : Epoch  8, Batch    341, Loss  0.864099, Average Loss  0.869520, Time  0.445546
2021-09-29 08:08:34.044039 : Epoch  8, Batch    342, Loss  0.867296, Average Loss  0.869521, Time  0.444847
2021-09-29 08:08:39.966761 : Epoch  8, Batch    343, Loss  0.881711, Average Loss  0.869618, Time  0.459021
2021-09-29 08:08:45.876449 : Epoch  8, Batch    344, Loss  0.876763, Average Loss  0.869588, Time  0.445334
2021-09-29 08:08:51.794798 : Epoch  8, Batch    345, Loss  0.873329, Average Loss  0.869605, Time  0.447661
2021-09-29 08:08:57.700357 : Epoch  8, Batch    346, Loss  0.868070, Average Loss  0.869558, Time  0.446324
2021-09-29 08:09:03.618937 : Epoch  8, Batch    347, Loss  0.873690, Average Loss  0.869609, Time  0.446139
2021-09-29 08:09:09.527346 : Epoch  8, Batch    348, Loss  0.876709, Average Loss  0.869611, Time  0.445473
2021-09-29 08:09:15.427046 : Epoch  8, Batch    349, Loss  0.878766, Average Loss  0.869709, Time  0.445011
2021-09-29 08:09:21.347454 : Epoch  8, Batch    350, Loss  0.871340, Average Loss  0.869727, Time  0.446778
2021-09-29 08:09:27.266025 : Epoch  8, Batch    351, Loss  0.859070, Average Loss  0.869715, Time  0.459960
2021-09-29 08:09:33.181531 : Epoch  8, Batch    352, Loss  0.865742, Average Loss  0.869708, Time  0.447832
2021-09-29 08:09:39.085281 : Epoch  8, Batch    353, Loss  0.868300, Average Loss  0.869737, Time  0.446661
2021-09-29 08:09:44.979889 : Epoch  8, Batch    354, Loss  0.857075, Average Loss  0.869707, Time  0.448439
2021-09-29 08:09:50.888903 : Epoch  8, Batch    355, Loss  0.863321, Average Loss  0.869712, Time  0.449188
2021-09-29 08:09:56.788499 : Epoch  8, Batch    356, Loss  0.868114, Average Loss  0.869634, Time  0.446512
2021-09-29 08:10:02.698823 : Epoch  8, Batch    357, Loss  0.871134, Average Loss  0.869704, Time  0.446929
2021-09-29 08:10:08.614198 : Epoch  8, Batch    358, Loss  0.865652, Average Loss  0.869758, Time  0.456869
2021-09-29 08:10:14.509399 : Epoch  8, Batch    359, Loss  0.865170, Average Loss  0.869731, Time  0.447161
2021-09-29 08:10:20.399403 : Epoch  8, Batch    360, Loss  0.870162, Average Loss  0.869752, Time  0.445421
2021-09-29 08:10:26.301892 : Epoch  8, Batch    361, Loss  0.868546, Average Loss  0.869692, Time  0.445964
2021-09-29 08:10:32.216830 : Epoch  8, Batch    362, Loss  0.881990, Average Loss  0.869715, Time  0.448505
2021-09-29 08:10:38.124490 : Epoch  8, Batch    363, Loss  0.877466, Average Loss  0.869774, Time  0.445104
2021-09-29 08:10:44.029975 : Epoch  8, Batch    364, Loss  0.866621, Average Loss  0.869783, Time  0.445823
2021-09-29 08:10:49.934773 : Epoch  8, Batch    365, Loss  0.875600, Average Loss  0.869869, Time  0.444657
2021-09-29 08:10:55.867412 : Epoch  8, Batch    366, Loss  0.850720, Average Loss  0.869735, Time  0.457740
2021-09-29 08:11:01.747005 : Epoch  8, Batch    367, Loss  0.874224, Average Loss  0.869798, Time  0.444963
2021-09-29 08:11:07.653870 : Epoch  8, Batch    368, Loss  0.861660, Average Loss  0.869734, Time  0.444422
2021-09-29 08:11:13.545183 : Epoch  8, Batch    369, Loss  0.873371, Average Loss  0.869824, Time  0.445078
2021-09-29 08:11:19.438945 : Epoch  8, Batch    370, Loss  0.871586, Average Loss  0.869850, Time  0.447226
2021-09-29 08:11:25.332262 : Epoch  8, Batch    371, Loss  0.880184, Average Loss  0.869900, Time  0.445739
2021-09-29 08:11:31.232806 : Epoch  8, Batch    372, Loss  0.881145, Average Loss  0.869881, Time  0.445534
2021-09-29 08:11:37.135825 : Epoch  8, Batch    373, Loss  0.872871, Average Loss  0.869900, Time  0.446344
2021-09-29 08:11:43.103668 : Epoch  8, Batch    374, Loss  0.871868, Average Loss  0.869904, Time  0.460808
2021-09-29 08:11:49.009774 : Epoch  8, Batch    375, Loss  0.864230, Average Loss  0.869917, Time  0.445598
2021-09-29 08:11:54.912227 : Epoch  8, Batch    376, Loss  0.849475, Average Loss  0.869739, Time  0.445412
2021-09-29 08:12:00.831059 : Epoch  8, Batch    377, Loss  0.879861, Average Loss  0.869766, Time  0.444777
2021-09-29 08:12:06.734808 : Epoch  8, Batch    378, Loss  0.869074, Average Loss  0.869809, Time  0.445843
2021-09-29 08:12:12.650137 : Epoch  8, Batch    379, Loss  0.870688, Average Loss  0.869764, Time  0.444386
2021-09-29 08:12:18.584370 : Epoch  8, Batch    380, Loss  0.886028, Average Loss  0.869835, Time  0.444677
2021-09-29 08:12:24.509450 : Epoch  8, Batch    381, Loss  0.852152, Average Loss  0.869693, Time  0.445618
2021-09-29 08:12:30.435063 : Epoch  8, Batch    382, Loss  0.861599, Average Loss  0.869635, Time  0.461974
2021-09-29 08:12:36.343333 : Epoch  8, Batch    383, Loss  0.864565, Average Loss  0.869553, Time  0.444946
2021-09-29 08:12:42.249640 : Epoch  8, Batch    384, Loss  0.870090, Average Loss  0.869583, Time  0.445399
2021-09-29 08:12:48.169869 : Epoch  8, Batch    385, Loss  0.868489, Average Loss  0.869554, Time  0.444379
2021-09-29 08:12:54.088704 : Epoch  8, Batch    386, Loss  0.865417, Average Loss  0.869507, Time  0.447319
2021-09-29 08:12:59.998418 : Epoch  8, Batch    387, Loss  0.872529, Average Loss  0.869464, Time  0.446157
2021-09-29 08:13:05.917841 : Epoch  8, Batch    388, Loss  0.859667, Average Loss  0.869373, Time  0.444785
2021-09-29 08:13:11.813650 : Epoch  8, Batch    389, Loss  0.863274, Average Loss  0.869278, Time  0.444441
2021-09-29 08:13:17.731909 : Epoch  8, Batch    390, Loss  0.860498, Average Loss  0.869307, Time  0.459767
2021-09-29 08:13:23.648612 : Epoch  8, Batch    391, Loss  0.872186, Average Loss  0.869301, Time  0.444625
2021-09-29 08:13:29.565056 : Epoch  8, Batch    392, Loss  0.856253, Average Loss  0.869275, Time  0.445817
2021-09-29 08:13:35.483103 : Epoch  8, Batch    393, Loss  0.861423, Average Loss  0.869282, Time  0.446405
2021-09-29 08:13:41.392344 : Epoch  8, Batch    394, Loss  0.867214, Average Loss  0.869284, Time  0.448228
2021-09-29 08:13:47.298657 : Epoch  8, Batch    395, Loss  0.855414, Average Loss  0.869246, Time  0.445049
2021-09-29 08:13:53.208550 : Epoch  8, Batch    396, Loss  0.857919, Average Loss  0.869232, Time  0.444948
2021-09-29 08:13:59.130731 : Epoch  8, Batch    397, Loss  0.874219, Average Loss  0.869279, Time  0.449240
2021-09-29 08:14:05.046755 : Epoch  8, Batch    398, Loss  0.863759, Average Loss  0.869254, Time  0.457624
2021-09-29 08:14:10.957190 : Epoch  8, Batch    399, Loss  0.867780, Average Loss  0.869254, Time  0.443952
2021-09-29 08:14:16.862185 : Epoch  8, Batch    400, Loss  0.874493, Average Loss  0.869264, Time  0.446349
2021-09-29 08:14:22.785635 : Epoch  8, Batch    401, Loss  0.870292, Average Loss  0.869328, Time  0.445149
2021-09-29 08:14:28.679940 : Epoch  8, Batch    402, Loss  0.873486, Average Loss  0.869288, Time  0.444608
2021-09-29 08:14:34.582632 : Epoch  8, Batch    403, Loss  0.867150, Average Loss  0.869295, Time  0.445053
2021-09-29 08:14:40.487665 : Epoch  8, Batch    404, Loss  0.853606, Average Loss  0.869160, Time  0.446263
2021-09-29 08:19:17.308838 : CheckPoint: Validation Loss  0.00014904, Best Loss  0.00014870
2021-09-29 08:19:23.212730 : Epoch  8, Batch    405, Loss  0.865306, Average Loss  0.869157, Time  0.445591
2021-09-29 08:19:29.113664 : Epoch  8, Batch    406, Loss  0.864509, Average Loss  0.869134, Time  0.458575
2021-09-29 08:19:35.009625 : Epoch  8, Batch    407, Loss  0.871181, Average Loss  0.869164, Time  0.446054
2021-09-29 08:19:40.906535 : Epoch  8, Batch    408, Loss  0.875006, Average Loss  0.869215, Time  0.445594
2021-09-29 08:19:46.788814 : Epoch  8, Batch    409, Loss  0.861881, Average Loss  0.869269, Time  0.444734
2021-09-29 08:19:52.674278 : Epoch  8, Batch    410, Loss  0.879147, Average Loss  0.869260, Time  0.444919
2021-09-29 08:19:58.568242 : Epoch  8, Batch    411, Loss  0.870139, Average Loss  0.869236, Time  0.446394
2021-09-29 08:20:04.443114 : Epoch  8, Batch    412, Loss  0.870509, Average Loss  0.869285, Time  0.447258
2021-09-29 08:20:10.336664 : Epoch  8, Batch    413, Loss  0.872739, Average Loss  0.869351, Time  0.445443
2021-09-29 08:20:16.246307 : Epoch  8, Batch    414, Loss  0.874905, Average Loss  0.869397, Time  0.455645
2021-09-29 08:20:22.158411 : Epoch  8, Batch    415, Loss  0.869263, Average Loss  0.869399, Time  0.447518
2021-09-29 08:20:28.053049 : Epoch  8, Batch    416, Loss  0.870244, Average Loss  0.869358, Time  0.445154
2021-09-29 08:20:33.949732 : Epoch  8, Batch    417, Loss  0.880475, Average Loss  0.869474, Time  0.444543
2021-09-29 08:20:39.841862 : Epoch  8, Batch    418, Loss  0.864453, Average Loss  0.869438, Time  0.444541
2021-09-29 08:20:45.736572 : Epoch  8, Batch    419, Loss  0.872310, Average Loss  0.869429, Time  0.444927
2021-09-29 08:20:51.637676 : Epoch  8, Batch    420, Loss  0.869874, Average Loss  0.869396, Time  0.446759
2021-09-29 08:20:57.554884 : Epoch  8, Batch    421, Loss  0.884272, Average Loss  0.869392, Time  0.446679
2021-09-29 08:21:03.472436 : Epoch  8, Batch    422, Loss  0.871328, Average Loss  0.869385, Time  0.460227
2021-09-29 08:21:09.366900 : Epoch  8, Batch    423, Loss  0.864418, Average Loss  0.869326, Time  0.444888
2021-09-29 08:21:15.253818 : Epoch  8, Batch    424, Loss  0.862110, Average Loss  0.869206, Time  0.445031
2021-09-29 08:21:21.149750 : Epoch  8, Batch    425, Loss  0.861982, Average Loss  0.869242, Time  0.444500
2021-09-29 08:21:27.055472 : Epoch  8, Batch    426, Loss  0.878428, Average Loss  0.869264, Time  0.447053
2021-09-29 08:21:32.945867 : Epoch  8, Batch    427, Loss  0.865371, Average Loss  0.869293, Time  0.445584
2021-09-29 08:21:38.853172 : Epoch  8, Batch    428, Loss  0.876993, Average Loss  0.869344, Time  0.445940
2021-09-29 08:21:44.755790 : Epoch  8, Batch    429, Loss  0.870452, Average Loss  0.869325, Time  0.444537
2021-09-29 08:21:50.673797 : Epoch  8, Batch    430, Loss  0.876684, Average Loss  0.869432, Time  0.458802
2021-09-29 08:21:56.576888 : Epoch  8, Batch    431, Loss  0.873216, Average Loss  0.869419, Time  0.448363
2021-09-29 08:22:02.460818 : Epoch  8, Batch    432, Loss  0.872683, Average Loss  0.869425, Time  0.444356
2021-09-29 08:22:08.350156 : Epoch  8, Batch    433, Loss  0.870006, Average Loss  0.869477, Time  0.447105
2021-09-29 08:22:14.245514 : Epoch  8, Batch    434, Loss  0.870088, Average Loss  0.869554, Time  0.445138
2021-09-29 08:22:20.148691 : Epoch  8, Batch    435, Loss  0.871997, Average Loss  0.869529, Time  0.445800
2021-09-29 08:22:26.053806 : Epoch  8, Batch    436, Loss  0.863083, Average Loss  0.869507, Time  0.449083
2021-09-29 08:22:31.959398 : Epoch  8, Batch    437, Loss  0.867136, Average Loss  0.869516, Time  0.444760
2021-09-29 08:22:37.883113 : Epoch  8, Batch    438, Loss  0.854445, Average Loss  0.869473, Time  0.462093
2021-09-29 08:22:43.797765 : Epoch  8, Batch    439, Loss  0.858515, Average Loss  0.869426, Time  0.446858
2021-09-29 08:22:49.691893 : Epoch  8, Batch    440, Loss  0.859471, Average Loss  0.869370, Time  0.444269
2021-09-29 08:22:55.590822 : Epoch  8, Batch    441, Loss  0.859464, Average Loss  0.869316, Time  0.448416
2021-09-29 08:23:01.485229 : Epoch  8, Batch    442, Loss  0.874408, Average Loss  0.869269, Time  0.445733
2021-09-29 08:23:07.389740 : Epoch  8, Batch    443, Loss  0.859939, Average Loss  0.869260, Time  0.445497
2021-09-29 08:23:13.292464 : Epoch  8, Batch    444, Loss  0.867217, Average Loss  0.869191, Time  0.446083
2021-09-29 08:23:19.193439 : Epoch  8, Batch    445, Loss  0.873584, Average Loss  0.869224, Time  0.446582
2021-09-29 08:23:25.107067 : Epoch  8, Batch    446, Loss  0.872612, Average Loss  0.869187, Time  0.454794
2021-09-29 08:23:31.010618 : Epoch  8, Batch    447, Loss  0.854256, Average Loss  0.869108, Time  0.448211
2021-09-29 08:23:36.925235 : Epoch  8, Batch    448, Loss  0.876034, Average Loss  0.869138, Time  0.444976
2021-09-29 08:23:42.834476 : Epoch  8, Batch    449, Loss  0.884518, Average Loss  0.869225, Time  0.445101
2021-09-29 08:23:48.729915 : Epoch  8, Batch    450, Loss  0.865368, Average Loss  0.869233, Time  0.445660
2021-09-29 08:23:54.620672 : Epoch  8, Batch    451, Loss  0.864446, Average Loss  0.869294, Time  0.446604
2021-09-29 08:24:00.517858 : Epoch  8, Batch    452, Loss  0.868687, Average Loss  0.869264, Time  0.444956
2021-09-29 08:24:06.414463 : Epoch  8, Batch    453, Loss  0.868905, Average Loss  0.869330, Time  0.445577
2021-09-29 08:24:12.325297 : Epoch  8, Batch    454, Loss  0.873548, Average Loss  0.869343, Time  0.459413
2021-09-29 08:24:18.221897 : Epoch  8, Batch    455, Loss  0.872263, Average Loss  0.869314, Time  0.446525
2021-09-29 08:24:24.119793 : Epoch  8, Batch    456, Loss  0.899352, Average Loss  0.869449, Time  0.444337
2021-09-29 08:24:30.024267 : Epoch  8, Batch    457, Loss  0.868149, Average Loss  0.869451, Time  0.447055
2021-09-29 08:24:35.923792 : Epoch  8, Batch    458, Loss  0.860048, Average Loss  0.869388, Time  0.447745
2021-09-29 08:24:41.834985 : Epoch  8, Batch    459, Loss  0.861185, Average Loss  0.869364, Time  0.446707
2021-09-29 08:24:47.729812 : Epoch  8, Batch    460, Loss  0.881216, Average Loss  0.869412, Time  0.446284
2021-09-29 08:24:53.638707 : Epoch  8, Batch    461, Loss  0.866901, Average Loss  0.869368, Time  0.445472
2021-09-29 08:24:59.557101 : Epoch  8, Batch    462, Loss  0.879783, Average Loss  0.869414, Time  0.453980
2021-09-29 08:25:05.459801 : Epoch  8, Batch    463, Loss  0.871359, Average Loss  0.869421, Time  0.448796
2021-09-29 08:25:11.358169 : Epoch  8, Batch    464, Loss  0.867850, Average Loss  0.869392, Time  0.446050
2021-09-29 08:25:17.258323 : Epoch  8, Batch    465, Loss  0.862200, Average Loss  0.869324, Time  0.445840
2021-09-29 08:25:23.160971 : Epoch  8, Batch    466, Loss  0.866202, Average Loss  0.869265, Time  0.446425
2021-09-29 08:25:29.053786 : Epoch  8, Batch    467, Loss  0.863577, Average Loss  0.869248, Time  0.444689
2021-09-29 08:25:34.959493 : Epoch  8, Batch    468, Loss  0.883907, Average Loss  0.869347, Time  0.445246
2021-09-29 08:25:40.864721 : Epoch  8, Batch    469, Loss  0.869356, Average Loss  0.869298, Time  0.446883
2021-09-29 08:25:46.770413 : Epoch  8, Batch    470, Loss  0.864732, Average Loss  0.869335, Time  0.458174
2021-09-29 08:25:52.659802 : Epoch  8, Batch    471, Loss  0.868973, Average Loss  0.869315, Time  0.444494
2021-09-29 08:25:58.561760 : Epoch  8, Batch    472, Loss  0.863692, Average Loss  0.869296, Time  0.444538
2021-09-29 08:26:04.457977 : Epoch  8, Batch    473, Loss  0.880005, Average Loss  0.869389, Time  0.445192
2021-09-29 08:26:10.362758 : Epoch  8, Batch    474, Loss  0.859532, Average Loss  0.869417, Time  0.444442
2021-09-29 08:26:16.271122 : Epoch  8, Batch    475, Loss  0.870693, Average Loss  0.869364, Time  0.447065
2021-09-29 08:26:22.170721 : Epoch  8, Batch    476, Loss  0.868923, Average Loss  0.869305, Time  0.445203
2021-09-29 08:26:28.060594 : Epoch  8, Batch    477, Loss  0.862903, Average Loss  0.869291, Time  0.445427
2021-09-29 08:26:33.958831 : Epoch  8, Batch    478, Loss  0.868394, Average Loss  0.869326, Time  0.454901
2021-09-29 08:26:39.851953 : Epoch  8, Batch    479, Loss  0.864525, Average Loss  0.869309, Time  0.450723
2021-09-29 08:26:45.763003 : Epoch  8, Batch    480, Loss  0.881582, Average Loss  0.869410, Time  0.450171
2021-09-29 08:26:51.663577 : Epoch  8, Batch    481, Loss  0.879752, Average Loss  0.869467, Time  0.448643
2021-09-29 08:26:57.568839 : Epoch  8, Batch    482, Loss  0.864901, Average Loss  0.869459, Time  0.446856
2021-09-29 08:27:03.452482 : Epoch  8, Batch    483, Loss  0.858851, Average Loss  0.869416, Time  0.444746
2021-09-29 08:27:09.364286 : Epoch  8, Batch    484, Loss  0.887529, Average Loss  0.869469, Time  0.445116
2021-09-29 08:27:15.256630 : Epoch  8, Batch    485, Loss  0.861277, Average Loss  0.869389, Time  0.447682
2021-09-29 08:27:21.170739 : Epoch  8, Batch    486, Loss  0.871294, Average Loss  0.869363, Time  0.460613
2021-09-29 08:27:27.068398 : Epoch  8, Batch    487, Loss  0.868006, Average Loss  0.869377, Time  0.445097
2021-09-29 08:27:32.968503 : Epoch  8, Batch    488, Loss  0.859468, Average Loss  0.869404, Time  0.446264
2021-09-29 08:27:38.871698 : Epoch  8, Batch    489, Loss  0.869371, Average Loss  0.869370, Time  0.447513
2021-09-29 08:27:44.775547 : Epoch  8, Batch    490, Loss  0.881531, Average Loss  0.869280, Time  0.446863
2021-09-29 08:27:50.658118 : Epoch  8, Batch    491, Loss  0.867651, Average Loss  0.869238, Time  0.444059
2021-09-29 08:27:56.553675 : Epoch  8, Batch    492, Loss  0.866440, Average Loss  0.869146, Time  0.444499
2021-09-29 08:28:02.450892 : Epoch  8, Batch    493, Loss  0.869525, Average Loss  0.869147, Time  0.450675
2021-09-29 08:28:08.373737 : Epoch  8, Batch    494, Loss  0.872696, Average Loss  0.869187, Time  0.456978
2021-09-29 08:28:14.263177 : Epoch  8, Batch    495, Loss  0.860990, Average Loss  0.869180, Time  0.446929
2021-09-29 08:28:20.155004 : Epoch  8, Batch    496, Loss  0.868565, Average Loss  0.869267, Time  0.448197
2021-09-29 08:28:26.046979 : Epoch  8, Batch    497, Loss  0.896733, Average Loss  0.869423, Time  0.451023
2021-09-29 08:28:31.939790 : Epoch  8, Batch    498, Loss  0.861148, Average Loss  0.869351, Time  0.445101
2021-09-29 08:28:37.840093 : Epoch  8, Batch    499, Loss  0.865219, Average Loss  0.869307, Time  0.445772
2021-09-29 08:28:43.724842 : Epoch  8, Batch    500, Loss  0.873291, Average Loss  0.869324, Time  0.446439
2021-09-29 08:28:49.614743 : Epoch  8, Batch    501, Loss  0.864239, Average Loss  0.869346, Time  0.444656
2021-09-29 08:28:55.505873 : Epoch  8, Batch    502, Loss  0.863749, Average Loss  0.869298, Time  0.453882
2021-09-29 08:29:01.394170 : Epoch  8, Batch    503, Loss  0.863594, Average Loss  0.869206, Time  0.447134
2021-09-29 08:29:12.812799 : Epoch  8, Batch    504, Loss  0.858889, Average Loss  0.869145, Time  0.447269
2021-09-29 08:33:49.508779 : CheckPoint: Validation Loss  0.00015005, Best Loss  0.00014870
2021-09-29 08:33:55.406800 : Epoch  8, Batch    505, Loss  0.875399, Average Loss  0.869152, Time  0.444308
2021-09-29 08:34:01.295742 : Epoch  8, Batch    506, Loss  0.863879, Average Loss  0.869192, Time  0.445007
2021-09-29 08:34:07.190171 : Epoch  8, Batch    507, Loss  0.861321, Average Loss  0.869118, Time  0.444782
2021-09-29 08:34:13.091851 : Epoch  8, Batch    508, Loss  0.870459, Average Loss  0.869117, Time  0.446343
2021-09-29 08:34:19.025817 : Epoch  8, Batch    509, Loss  0.867363, Average Loss  0.869104, Time  0.454860
2021-09-29 08:34:24.930527 : Epoch  8, Batch    510, Loss  0.880037, Average Loss  0.869212, Time  0.444516
2021-09-29 08:34:30.835398 : Epoch  8, Batch    511, Loss  0.863712, Average Loss  0.869150, Time  0.447862
2021-09-29 08:34:36.740113 : Epoch  8, Batch    512, Loss  0.861577, Average Loss  0.869038, Time  0.446254
2021-09-29 08:34:42.652203 : Epoch  8, Batch    513, Loss  0.870026, Average Loss  0.869048, Time  0.446463
2021-09-29 08:34:48.568739 : Epoch  8, Batch    514, Loss  0.872727, Average Loss  0.869052, Time  0.447487
2021-09-29 08:34:54.478774 : Epoch  8, Batch    515, Loss  0.872331, Average Loss  0.869109, Time  0.445082
2021-09-29 08:35:00.379731 : Epoch  8, Batch    516, Loss  0.876533, Average Loss  0.869122, Time  0.445129
2021-09-29 08:35:06.288872 : Epoch  8, Batch    517, Loss  0.862777, Average Loss  0.869100, Time  0.458154
2021-09-29 08:35:12.179867 : Epoch  8, Batch    518, Loss  0.861452, Average Loss  0.869052, Time  0.446222
2021-09-29 08:35:18.080906 : Epoch  8, Batch    519, Loss  0.865817, Average Loss  0.869026, Time  0.444898
2021-09-29 08:35:23.978106 : Epoch  8, Batch    520, Loss  0.868047, Average Loss  0.869019, Time  0.447386
2021-09-29 08:35:29.869420 : Epoch  8, Batch    521, Loss  0.869862, Average Loss  0.869001, Time  0.444935
2021-09-29 08:35:35.781911 : Epoch  8, Batch    522, Loss  0.874276, Average Loss  0.869051, Time  0.446494
2021-09-29 08:35:41.688255 : Epoch  8, Batch    523, Loss  0.868338, Average Loss  0.869039, Time  0.445136
2021-09-29 08:35:47.593801 : Epoch  8, Batch    524, Loss  0.879111, Average Loss  0.869041, Time  0.455250
2021-09-29 08:35:53.492764 : Epoch  8, Batch    525, Loss  0.856401, Average Loss  0.868932, Time  0.444667
2021-09-29 08:35:59.386837 : Epoch  8, Batch    526, Loss  0.867593, Average Loss  0.868906, Time  0.445468
2021-09-29 08:36:05.282730 : Epoch  8, Batch    527, Loss  0.866807, Average Loss  0.868863, Time  0.444209
2021-09-29 08:36:11.179142 : Epoch  8, Batch    528, Loss  0.863590, Average Loss  0.868880, Time  0.444514
2021-09-29 08:36:17.065390 : Epoch  8, Batch    529, Loss  0.858437, Average Loss  0.868758, Time  0.444258
2021-09-29 08:36:22.970518 : Epoch  8, Batch    530, Loss  0.875642, Average Loss  0.868816, Time  0.444847
2021-09-29 08:36:28.865915 : Epoch  8, Batch    531, Loss  0.880257, Average Loss  0.868761, Time  0.444937
2021-09-29 08:36:34.785718 : Epoch  8, Batch    532, Loss  0.879490, Average Loss  0.868872, Time  0.461991
2021-09-29 08:36:40.681888 : Epoch  8, Batch    533, Loss  0.876926, Average Loss  0.868944, Time  0.444542
2021-09-29 08:36:46.577103 : Epoch  8, Batch    534, Loss  0.878452, Average Loss  0.869022, Time  0.446846
2021-09-29 08:36:52.476807 : Epoch  8, Batch    535, Loss  0.872789, Average Loss  0.869030, Time  0.448236
2021-09-29 08:36:58.370784 : Epoch  8, Batch    536, Loss  0.864823, Average Loss  0.869049, Time  0.444326
2021-09-29 08:37:04.282218 : Epoch  8, Batch    537, Loss  0.859408, Average Loss  0.868975, Time  0.446127
2021-09-29 08:37:10.176317 : Epoch  8, Batch    538, Loss  0.875603, Average Loss  0.869072, Time  0.450280
2021-09-29 08:37:16.067792 : Epoch  8, Batch    539, Loss  0.887337, Average Loss  0.869211, Time  0.444339
2021-09-29 08:37:21.975817 : Epoch  8, Batch    540, Loss  0.870557, Average Loss  0.869175, Time  0.462462
2021-09-29 08:37:27.885797 : Epoch  8, Batch    541, Loss  0.867646, Average Loss  0.869193, Time  0.449168
2021-09-29 08:37:33.789304 : Epoch  8, Batch    542, Loss  0.863568, Average Loss  0.869174, Time  0.445860
2021-09-29 08:37:39.685836 : Epoch  8, Batch    543, Loss  0.866192, Average Loss  0.869096, Time  0.445728
2021-09-29 08:37:45.587746 : Epoch  8, Batch    544, Loss  0.865215, Average Loss  0.869039, Time  0.445180
2021-09-29 08:37:51.468863 : Epoch  8, Batch    545, Loss  0.866709, Average Loss  0.869005, Time  0.445190
2021-09-29 08:37:57.351975 : Epoch  8, Batch    546, Loss  0.867316, Average Loss  0.869002, Time  0.445328
2021-09-29 08:38:03.244195 : Epoch  8, Batch    547, Loss  0.864302, Average Loss  0.868955, Time  0.445221
2021-09-29 08:38:09.150981 : Epoch  8, Batch    548, Loss  0.865282, Average Loss  0.868898, Time  0.456504
2021-09-29 08:38:15.058954 : Epoch  8, Batch    549, Loss  0.879891, Average Loss  0.868903, Time  0.447005
2021-09-29 08:38:20.955434 : Epoch  8, Batch    550, Loss  0.873079, Average Loss  0.868912, Time  0.446198
2021-09-29 08:38:26.875279 : Epoch  8, Batch    551, Loss  0.867869, Average Loss  0.868956, Time  0.445659
2021-09-29 08:38:32.807479 : Epoch  8, Batch    552, Loss  0.857880, Average Loss  0.868917, Time  0.444557
2021-09-29 08:38:38.712942 : Epoch  8, Batch    553, Loss  0.857264, Average Loss  0.868861, Time  0.446491
2021-09-29 08:38:44.625677 : Epoch  8, Batch    554, Loss  0.886346, Average Loss  0.869008, Time  0.448445
2021-09-29 08:38:50.523120 : Epoch  8, Batch    555, Loss  0.871549, Average Loss  0.869049, Time  0.448798
2021-09-29 08:38:56.419970 : Epoch  8, Batch    556, Loss  0.857232, Average Loss  0.868995, Time  0.457495
2021-09-29 08:39:02.337196 : Epoch  8, Batch    557, Loss  0.861556, Average Loss  0.868947, Time  0.445642
2021-09-29 08:39:08.222979 : Epoch  8, Batch    558, Loss  0.862383, Average Loss  0.868930, Time  0.445961
2021-09-29 08:39:14.125277 : Epoch  8, Batch    559, Loss  0.873453, Average Loss  0.868972, Time  0.445849
2021-09-29 08:39:20.012694 : Epoch  8, Batch    560, Loss  0.877625, Average Loss  0.869009, Time  0.444987
2021-09-29 08:39:25.899236 : Epoch  8, Batch    561, Loss  0.867093, Average Loss  0.869002, Time  0.448573
2021-09-29 08:39:31.798236 : Epoch  8, Batch    562, Loss  0.870975, Average Loss  0.868947, Time  0.444361
2021-09-29 08:39:37.687896 : Epoch  8, Batch    563, Loss  0.886101, Average Loss  0.868990, Time  0.444801
2021-09-29 08:39:43.605897 : Epoch  8, Batch    564, Loss  0.869486, Average Loss  0.869004, Time  0.456191
2021-09-29 08:39:49.496540 : Epoch  8, Batch    565, Loss  0.875228, Average Loss  0.869002, Time  0.447671
2021-09-29 08:39:55.398889 : Epoch  8, Batch    566, Loss  0.875419, Average Loss  0.869126, Time  0.445411
2021-09-29 08:40:01.312772 : Epoch  8, Batch    567, Loss  0.864881, Average Loss  0.869079, Time  0.448009
2021-09-29 08:40:07.221842 : Epoch  8, Batch    568, Loss  0.870980, Average Loss  0.869126, Time  0.445892
2021-09-29 08:40:13.118785 : Epoch  8, Batch    569, Loss  0.863245, Average Loss  0.869075, Time  0.444781
2021-09-29 08:40:19.018725 : Epoch  8, Batch    570, Loss  0.882449, Average Loss  0.869129, Time  0.445262
2021-09-29 08:40:24.922707 : Epoch  8, Batch    571, Loss  0.866310, Average Loss  0.869060, Time  0.444441
2021-09-29 08:40:30.842987 : Epoch  8, Batch    572, Loss  0.869677, Average Loss  0.869003, Time  0.459510
2021-09-29 08:40:36.742788 : Epoch  8, Batch    573, Loss  0.874290, Average Loss  0.869010, Time  0.445591
2021-09-29 08:40:42.642620 : Epoch  8, Batch    574, Loss  0.877777, Average Loss  0.869039, Time  0.444793
2021-09-29 08:40:48.542593 : Epoch  8, Batch    575, Loss  0.870862, Average Loss  0.869072, Time  0.446607
2021-09-29 08:40:54.440120 : Epoch  8, Batch    576, Loss  0.875058, Average Loss  0.869200, Time  0.444907
2021-09-29 08:41:00.341342 : Epoch  8, Batch    577, Loss  0.862736, Average Loss  0.869115, Time  0.448277
2021-09-29 08:41:06.241409 : Epoch  8, Batch    578, Loss  0.852060, Average Loss  0.869030, Time  0.444869
2021-09-29 08:41:12.143863 : Epoch  8, Batch    579, Loss  0.843638, Average Loss  0.868894, Time  0.446354
2021-09-29 08:41:18.050839 : Epoch  8, Batch    580, Loss  0.870283, Average Loss  0.868816, Time  0.457212
2021-09-29 08:41:23.954430 : Epoch  8, Batch    581, Loss  0.861768, Average Loss  0.868864, Time  0.447803
2021-09-29 08:41:29.844579 : Epoch  8, Batch    582, Loss  0.863264, Average Loss  0.868872, Time  0.445935
2021-09-29 08:41:35.775993 : Epoch  8, Batch    583, Loss  0.863437, Average Loss  0.868867, Time  0.445642
2021-09-29 08:41:41.671683 : Epoch  8, Batch    584, Loss  0.868812, Average Loss  0.868860, Time  0.446500
2021-09-29 08:41:47.575242 : Epoch  8, Batch    585, Loss  0.870920, Average Loss  0.868872, Time  0.445258
2021-09-29 08:41:53.471169 : Epoch  8, Batch    586, Loss  0.868063, Average Loss  0.868885, Time  0.444311
2021-09-29 08:41:59.379821 : Epoch  8, Batch    587, Loss  0.869735, Average Loss  0.868872, Time  0.446238
2021-09-29 08:42:05.296210 : Epoch  8, Batch    588, Loss  0.880806, Average Loss  0.868977, Time  0.456247
2021-09-29 08:42:11.201420 : Epoch  8, Batch    589, Loss  0.869579, Average Loss  0.869009, Time  0.447245
2021-09-29 08:42:17.106896 : Epoch  8, Batch    590, Loss  0.878109, Average Loss  0.869097, Time  0.448155
2021-09-29 08:42:22.998822 : Epoch  8, Batch    591, Loss  0.867043, Average Loss  0.869071, Time  0.445009
2021-09-29 08:42:28.890048 : Epoch  8, Batch    592, Loss  0.863186, Average Loss  0.869106, Time  0.447775
2021-09-29 08:42:34.773973 : Epoch  8, Batch    593, Loss  0.881073, Average Loss  0.869204, Time  0.447616
2021-09-29 08:42:40.685745 : Epoch  8, Batch    594, Loss  0.870706, Average Loss  0.869221, Time  0.444942
2021-09-29 08:42:46.593588 : Epoch  8, Batch    595, Loss  0.869821, Average Loss  0.869293, Time  0.444749
2021-09-29 08:42:52.512902 : Epoch  8, Batch    596, Loss  0.871174, Average Loss  0.869360, Time  0.461747
2021-09-29 08:42:58.423830 : Epoch  8, Batch    597, Loss  0.892709, Average Loss  0.869452, Time  0.444421
2021-09-29 08:43:04.329636 : Epoch  8, Batch    598, Loss  0.867898, Average Loss  0.869473, Time  0.445240
2021-09-29 08:43:10.232565 : Epoch  8, Batch    599, Loss  0.881052, Average Loss  0.869539, Time  0.445847
2021-09-29 08:43:16.152827 : Epoch  8, Batch    600, Loss  0.872242, Average Loss  0.869528, Time  0.446515
2021-09-29 08:43:22.056763 : Epoch  8, Batch    601, Loss  0.864704, Average Loss  0.869500, Time  0.445004
2021-09-29 08:43:27.961796 : Epoch  8, Batch    602, Loss  0.874324, Average Loss  0.869504, Time  0.446927
2021-09-29 08:43:33.861400 : Epoch  8, Batch    603, Loss  0.859655, Average Loss  0.869467, Time  0.445705
2021-09-29 08:43:39.779830 : Epoch  8, Batch    604, Loss  0.869942, Average Loss  0.869548, Time  0.460105
2021-09-29 08:48:16.649702 : CheckPoint: Validation Loss  0.00015094, Best Loss  0.00014870
2021-09-29 08:48:22.546415 : Epoch  8, Batch    605, Loss  0.865064, Average Loss  0.869547, Time  0.447054
2021-09-29 08:48:28.454863 : Epoch  8, Batch    606, Loss  0.865326, Average Loss  0.869551, Time  0.447113
2021-09-29 08:48:34.364419 : Epoch  8, Batch    607, Loss  0.876673, Average Loss  0.869579, Time  0.445442
2021-09-29 08:48:40.261520 : Epoch  8, Batch    608, Loss  0.876816, Average Loss  0.869588, Time  0.445034
2021-09-29 08:48:46.156282 : Epoch  8, Batch    609, Loss  0.848454, Average Loss  0.869521, Time  0.444359
2021-09-29 08:48:52.054474 : Epoch  8, Batch    610, Loss  0.874516, Average Loss  0.869498, Time  0.444694
2021-09-29 08:48:57.957371 : Epoch  8, Batch    611, Loss  0.859360, Average Loss  0.869444, Time  0.445772
2021-09-29 08:49:03.877439 : Epoch  8, Batch    612, Loss  0.865845, Average Loss  0.869420, Time  0.460754
2021-09-29 08:49:09.782787 : Epoch  8, Batch    613, Loss  0.861399, Average Loss  0.869364, Time  0.445821
2021-09-29 08:49:15.700279 : Epoch  8, Batch    614, Loss  0.861226, Average Loss  0.869295, Time  0.449703
2021-09-29 08:49:21.639567 : Epoch  8, Batch    615, Loss  0.866457, Average Loss  0.869281, Time  0.446343
2021-09-29 08:49:27.564383 : Epoch  8, Batch    616, Loss  0.864104, Average Loss  0.869251, Time  0.447135
2021-09-29 08:49:33.474751 : Epoch  8, Batch    617, Loss  0.863095, Average Loss  0.869164, Time  0.448128
2021-09-29 08:49:39.385063 : Epoch  8, Batch    618, Loss  0.861029, Average Loss  0.869147, Time  0.444994
2021-09-29 08:49:45.304786 : Epoch  8, Batch    619, Loss  0.862911, Average Loss  0.869100, Time  0.446063
2021-09-29 08:49:51.220214 : Epoch  8, Batch    620, Loss  0.875646, Average Loss  0.869128, Time  0.458824
2021-09-29 08:49:57.135574 : Epoch  8, Batch    621, Loss  0.866072, Average Loss  0.869037, Time  0.446146
2021-09-29 08:50:03.043882 : Epoch  8, Batch    622, Loss  0.867334, Average Loss  0.869017, Time  0.444565
2021-09-29 08:50:08.960166 : Epoch  8, Batch    623, Loss  0.865742, Average Loss  0.869024, Time  0.445144
2021-09-29 08:50:14.863867 : Epoch  8, Batch    624, Loss  0.860655, Average Loss  0.869017, Time  0.444949
2021-09-29 08:50:20.776764 : Epoch  8, Batch    625, Loss  0.865035, Average Loss  0.869032, Time  0.444343
2021-09-29 08:50:26.687910 : Epoch  8, Batch    626, Loss  0.865513, Average Loss  0.868967, Time  0.444302
2021-09-29 08:50:32.599415 : Epoch  8, Batch    627, Loss  0.858949, Average Loss  0.868935, Time  0.446344
2021-09-29 08:50:38.519849 : Epoch  8, Batch    628, Loss  0.863916, Average Loss  0.868870, Time  0.458428
2021-09-29 08:50:44.431090 : Epoch  8, Batch    629, Loss  0.891349, Average Loss  0.868974, Time  0.444589
2021-09-29 08:50:50.345801 : Epoch  8, Batch    630, Loss  0.879822, Average Loss  0.868990, Time  0.448076
2021-09-29 08:50:56.249371 : Epoch  8, Batch    631, Loss  0.869079, Average Loss  0.868969, Time  0.445724
2021-09-29 08:51:02.162167 : Epoch  8, Batch    632, Loss  0.870439, Average Loss  0.868958, Time  0.444859
2021-09-29 08:51:08.084201 : Epoch  8, Batch    633, Loss  0.867618, Average Loss  0.868946, Time  0.448447
2021-09-29 08:51:13.989664 : Epoch  8, Batch    634, Loss  0.861343, Average Loss  0.868903, Time  0.444532
2021-09-29 08:51:19.890747 : Epoch  8, Batch    635, Loss  0.881363, Average Loss  0.868949, Time  0.444445
2021-09-29 08:51:25.812791 : Epoch  8, Batch    636, Loss  0.886882, Average Loss  0.869068, Time  0.456498
2021-09-29 08:51:31.722786 : Epoch  8, Batch    637, Loss  0.867641, Average Loss  0.869071, Time  0.445484
2021-09-29 08:51:37.639401 : Epoch  8, Batch    638, Loss  0.858598, Average Loss  0.869092, Time  0.447932
2021-09-29 08:51:43.550775 : Epoch  8, Batch    639, Loss  0.864543, Average Loss  0.869122, Time  0.445537
2021-09-29 08:51:49.442421 : Epoch  8, Batch    640, Loss  0.863252, Average Loss  0.869141, Time  0.444430
2021-09-29 08:51:55.038796 : Epoch  8, Batch    641, Loss  0.871748, Average Loss  0.869202, Time  0.441945
2021-09-29 08:52:00.552769 : Epoch  8, Batch    642, Loss  0.887483, Average Loss  0.869268, Time  0.443094
2021-09-29 08:52:06.244359 : Epoch  8, Batch    643, Loss  0.862633, Average Loss  0.869281, Time  0.443032
2021-09-29 08:52:11.726166 : Epoch  8, Batch    644, Loss  0.871234, Average Loss  0.869301, Time  0.458356
2021-09-29 08:52:17.389342 : Epoch  8, Batch    645, Loss  0.851744, Average Loss  0.869192, Time  0.444542
2021-09-29 08:52:22.966083 : Epoch  8, Batch    646, Loss  0.866782, Average Loss  0.869163, Time  0.442153
2021-09-29 08:52:28.408314 : Epoch  8, Batch    647, Loss  0.871850, Average Loss  0.869251, Time  0.441214
2021-09-29 08:52:33.998812 : Epoch  8, Batch    648, Loss  0.872662, Average Loss  0.869234, Time  0.443640
2021-09-29 08:52:39.479220 : Epoch  8, Batch    649, Loss  0.859015, Average Loss  0.869106, Time  0.442318
2021-09-29 08:52:44.983867 : Epoch  8, Batch    650, Loss  0.885702, Average Loss  0.869208, Time  0.444242
2021-09-29 08:52:50.498101 : Epoch  8, Batch    651, Loss  0.881216, Average Loss  0.869292, Time  0.441750
2021-09-29 08:52:56.074260 : Epoch  8, Batch    652, Loss  0.872120, Average Loss  0.869309, Time  0.453849
2021-09-29 08:53:01.421865 : Epoch  8, Batch    653, Loss  0.871887, Average Loss  0.869324, Time  0.441271
2021-09-29 08:53:07.098658 : Epoch  8, Batch    654, Loss  0.857905, Average Loss  0.869246, Time  0.445275
2021-09-29 08:53:12.682964 : Epoch  8, Batch    655, Loss  0.867688, Average Loss  0.869223, Time  0.441623
2021-09-29 08:53:18.224067 : Epoch  8, Batch    656, Loss  0.881792, Average Loss  0.869135, Time  0.443282
2021-09-29 08:53:23.800578 : Epoch  8, Batch    657, Loss  0.879188, Average Loss  0.869190, Time  0.464407
2021-09-29 08:53:29.151236 : Epoch  8, Batch    658, Loss  0.885046, Average Loss  0.869315, Time  0.441696
2021-09-29 08:53:34.411480 : Epoch  8, Batch    659, Loss  0.863634, Average Loss  0.869327, Time  0.441207
2021-09-29 08:53:39.688841 : Epoch  8, Batch    660, Loss  0.865576, Average Loss  0.869249, Time  0.442356
2021-09-29 08:53:45.083445 : Epoch  8, Batch    661, Loss  0.878432, Average Loss  0.869307, Time  0.451277
2021-09-29 08:53:50.633336 : Epoch  8, Batch    662, Loss  0.875405, Average Loss  0.869285, Time  0.443673
2021-09-29 08:53:56.168380 : Epoch  8, Batch    663, Loss  0.871839, Average Loss  0.869287, Time  0.441883
2021-09-29 08:54:01.535990 : Epoch  8, Batch    664, Loss  0.880121, Average Loss  0.869349, Time  0.441050
2021-09-29 08:54:06.801023 : Epoch  8, Batch    665, Loss  0.866328, Average Loss  0.869369, Time  0.440883
2021-09-29 08:54:12.082553 : Epoch  8, Batch    666, Loss  0.857004, Average Loss  0.869323, Time  0.440442
2021-09-29 08:54:17.329619 : Epoch  8, Batch    667, Loss  0.866002, Average Loss  0.869336, Time  0.440431
2021-09-29 08:54:22.607116 : Epoch  8, Batch    668, Loss  0.879782, Average Loss  0.869315, Time  0.440753
2021-09-29 08:54:27.853714 : Epoch  8, Batch    669, Loss  0.875165, Average Loss  0.869344, Time  0.440822
2021-09-29 08:54:33.123043 : Epoch  8, Batch    670, Loss  0.878159, Average Loss  0.869411, Time  0.453263
2021-09-29 08:54:38.442760 : Epoch  8, Batch    671, Loss  0.873316, Average Loss  0.869433, Time  0.440694
2021-09-29 08:54:43.715019 : Epoch  8, Batch    672, Loss  0.861595, Average Loss  0.869422, Time  0.440813
2021-09-29 08:54:49.018540 : Epoch  8, Batch    673, Loss  0.880696, Average Loss  0.869426, Time  0.440497
2021-09-29 08:54:54.281159 : Epoch  8, Batch    674, Loss  0.853646, Average Loss  0.869396, Time  0.440723
2021-09-29 08:54:59.546571 : Epoch  8, Batch    675, Loss  0.871356, Average Loss  0.869400, Time  0.439846
2021-09-29 08:55:04.776606 : Epoch  8, Batch    676, Loss  0.864700, Average Loss  0.869379, Time  0.440921
2021-09-29 08:55:10.007905 : Epoch  8, Batch    677, Loss  0.874157, Average Loss  0.869435, Time  0.440535
2021-09-29 08:55:15.284710 : Epoch  8, Batch    678, Loss  0.869496, Average Loss  0.869440, Time  0.440398
2021-09-29 08:55:20.569320 : Epoch  8, Batch    679, Loss  0.871347, Average Loss  0.869474, Time  0.456704
2021-09-29 08:55:25.855648 : Epoch  8, Batch    680, Loss  0.863109, Average Loss  0.869382, Time  0.441031
2021-09-29 08:55:31.113471 : Epoch  8, Batch    681, Loss  0.880718, Average Loss  0.869387, Time  0.440554
2021-09-29 08:55:36.370947 : Epoch  8, Batch    682, Loss  0.864656, Average Loss  0.869386, Time  0.440564
2021-09-29 08:55:41.644882 : Epoch  8, Batch    683, Loss  0.868194, Average Loss  0.869432, Time  0.440590
2021-09-29 08:55:46.913346 : Epoch  8, Batch    684, Loss  0.876254, Average Loss  0.869376, Time  0.441091
2021-09-29 08:55:52.400019 : Epoch  8, Batch    685, Loss  0.855010, Average Loss  0.869345, Time  0.439415
2021-09-29 08:55:57.657886 : Epoch  8, Batch    686, Loss  0.860753, Average Loss  0.869292, Time  0.439856
2021-09-29 08:56:02.915051 : Epoch  8, Batch    687, Loss  0.873718, Average Loss  0.869321, Time  0.440581
2021-09-29 08:56:08.166112 : Epoch  8, Batch    688, Loss  0.851954, Average Loss  0.869283, Time  0.458340
2021-09-29 08:56:13.443754 : Epoch  8, Batch    689, Loss  0.873091, Average Loss  0.869302, Time  0.441039
2021-09-29 08:56:18.775658 : Epoch  8, Batch    690, Loss  0.870947, Average Loss  0.869249, Time  0.441211
2021-09-29 08:56:24.226399 : Epoch  8, Batch    691, Loss  0.864405, Average Loss  0.869232, Time  0.441815
2021-09-29 08:56:29.568235 : Epoch  8, Batch    692, Loss  0.853169, Average Loss  0.869166, Time  0.442412
2021-09-29 08:56:34.967656 : Epoch  8, Batch    693, Loss  0.867809, Average Loss  0.869157, Time  0.442383
2021-09-29 08:56:40.317293 : Epoch  8, Batch    694, Loss  0.872314, Average Loss  0.869156, Time  0.441845
2021-09-29 08:56:45.931358 : Epoch  8, Batch    695, Loss  0.867626, Average Loss  0.869189, Time  0.440767
2021-09-29 08:56:51.290732 : Epoch  8, Batch    696, Loss  0.869361, Average Loss  0.869193, Time  0.443775
2021-09-29 08:56:56.831956 : Epoch  8, Batch    697, Loss  0.866758, Average Loss  0.869043, Time  0.457517
2021-09-29 08:57:02.335448 : Epoch  8, Batch    698, Loss  0.870458, Average Loss  0.869089, Time  0.444489
2021-09-29 08:57:08.013372 : Epoch  8, Batch    699, Loss  0.868613, Average Loss  0.869106, Time  0.444453
2021-09-29 08:57:13.464461 : Epoch  8, Batch    700, Loss  0.866404, Average Loss  0.869072, Time  0.442883
2021-09-29 08:57:18.966982 : Epoch  8, Batch    701, Loss  0.868410, Average Loss  0.869093, Time  0.441267
2021-09-29 08:57:24.480222 : Epoch  8, Batch    702, Loss  0.854387, Average Loss  0.869046, Time  0.443254
2021-09-29 08:57:30.049201 : Epoch  8, Batch    703, Loss  0.876203, Average Loss  0.869109, Time  0.443802
2021-09-29 08:57:35.501512 : Epoch  8, Batch    704, Loss  0.865497, Average Loss  0.869142, Time  0.440833
2021-09-29 09:01:58.577367 : CheckPoint: Validation Loss  0.00015097, Best Loss  0.00014870
2021-09-29 09:02:04.086890 : Epoch  8, Batch    705, Loss  0.867944, Average Loss  0.869105, Time  0.442710
2021-09-29 09:02:09.542517 : Epoch  8, Batch    706, Loss  0.862588, Average Loss  0.869098, Time  0.443525
2021-09-29 09:02:15.089204 : Epoch  8, Batch    707, Loss  0.885527, Average Loss  0.869219, Time  0.442311
2021-09-29 09:02:20.589870 : Epoch  8, Batch    708, Loss  0.864109, Average Loss  0.869188, Time  0.442260
2021-09-29 09:02:26.086405 : Epoch  8, Batch    709, Loss  0.874496, Average Loss  0.869223, Time  0.456479
2021-09-29 09:02:31.601537 : Epoch  8, Batch    710, Loss  0.878714, Average Loss  0.869217, Time  0.444114
2021-09-29 09:02:37.134507 : Epoch  8, Batch    711, Loss  0.856946, Average Loss  0.869183, Time  0.442391
2021-09-29 09:02:42.757757 : Epoch  8, Batch    712, Loss  0.882928, Average Loss  0.869290, Time  0.443461
2021-09-29 09:02:48.348070 : Epoch  8, Batch    713, Loss  0.875789, Average Loss  0.869318, Time  0.442755
2021-09-29 09:02:53.782808 : Epoch  8, Batch    714, Loss  0.887963, Average Loss  0.869395, Time  0.441476
2021-09-29 09:02:59.214127 : Epoch  8, Batch    715, Loss  0.873550, Average Loss  0.869401, Time  0.442990
2021-09-29 09:03:04.767650 : Epoch  8, Batch    716, Loss  0.868274, Average Loss  0.869359, Time  0.444175
2021-09-29 09:03:10.217398 : Epoch  8, Batch    717, Loss  0.859735, Average Loss  0.869344, Time  0.441525
2021-09-29 09:03:15.732343 : Epoch  8, Batch    718, Loss  0.873101, Average Loss  0.869402, Time  0.451755
2021-09-29 09:03:21.079136 : Epoch  8, Batch    719, Loss  0.874681, Average Loss  0.869447, Time  0.443866
2021-09-29 09:03:26.685175 : Epoch  8, Batch    720, Loss  0.873244, Average Loss  0.869473, Time  0.441424
2021-09-29 09:03:32.137209 : Epoch  8, Batch    721, Loss  0.876310, Average Loss  0.869505, Time  0.444562
2021-09-29 09:03:37.455943 : Epoch  8, Batch    722, Loss  0.865959, Average Loss  0.869463, Time  0.442626
2021-09-29 09:03:43.077219 : Epoch  8, Batch    723, Loss  0.861378, Average Loss  0.869429, Time  0.443835
2021-09-29 09:03:48.821119 : Epoch  8, Batch    724, Loss  0.877412, Average Loss  0.869420, Time  0.444955
2021-09-29 09:03:54.562967 : Epoch  8, Batch    725, Loss  0.863080, Average Loss  0.869454, Time  0.443797
2021-09-29 09:04:00.209789 : Epoch  8, Batch    726, Loss  0.863567, Average Loss  0.869433, Time  0.453614
2021-09-29 09:04:05.853727 : Epoch  8, Batch    727, Loss  0.866262, Average Loss  0.869431, Time  0.443830
2021-09-29 09:04:11.542393 : Epoch  8, Batch    728, Loss  0.873777, Average Loss  0.869482, Time  0.443694
2021-09-29 09:04:17.133840 : Epoch  8, Batch    729, Loss  0.850249, Average Loss  0.869441, Time  0.444403
2021-09-29 09:04:22.851348 : Epoch  8, Batch    730, Loss  0.874837, Average Loss  0.869437, Time  0.442224
2021-09-29 09:04:28.314876 : Epoch  8, Batch    731, Loss  0.875626, Average Loss  0.869413, Time  0.441842
2021-09-29 09:04:33.809179 : Epoch  8, Batch    732, Loss  0.865886, Average Loss  0.869345, Time  0.441451
2021-09-29 09:04:39.440731 : Epoch  8, Batch    733, Loss  0.870287, Average Loss  0.869312, Time  0.441659
2021-09-29 09:04:44.984946 : Epoch  8, Batch    734, Loss  0.872964, Average Loss  0.869285, Time  0.454667
2021-09-29 09:04:50.520907 : Epoch  8, Batch    735, Loss  0.877420, Average Loss  0.869308, Time  0.442252
2021-09-29 09:04:56.060053 : Epoch  8, Batch    736, Loss  0.862407, Average Loss  0.869296, Time  0.446707
2021-09-29 09:05:01.713276 : Epoch  8, Batch    737, Loss  0.878591, Average Loss  0.869392, Time  0.444849
2021-09-29 09:05:07.371786 : Epoch  8, Batch    738, Loss  0.873896, Average Loss  0.869383, Time  0.441408
2021-09-29 09:05:13.024525 : Epoch  8, Batch    739, Loss  0.862343, Average Loss  0.869258, Time  0.441946
2021-09-29 09:05:18.394096 : Epoch  8, Batch    740, Loss  0.887195, Average Loss  0.869341, Time  0.442338
2021-09-29 09:05:23.872809 : Epoch  8, Batch    741, Loss  0.880521, Average Loss  0.869406, Time  0.442548
2021-09-29 09:05:29.338415 : Epoch  8, Batch    742, Loss  0.870557, Average Loss  0.869441, Time  0.442536
2021-09-29 09:05:34.968794 : Epoch  8, Batch    743, Loss  0.875427, Average Loss  0.869487, Time  0.455022
2021-09-29 09:05:40.672618 : Epoch  8, Batch    744, Loss  0.863547, Average Loss  0.869479, Time  0.444020
2021-09-29 09:05:46.218625 : Epoch  8, Batch    745, Loss  0.862168, Average Loss  0.869456, Time  0.444535
2021-09-29 09:05:51.901471 : Epoch  8, Batch    746, Loss  0.866621, Average Loss  0.869452, Time  0.445167
2021-09-29 09:05:57.643039 : Epoch  8, Batch    747, Loss  0.867424, Average Loss  0.869468, Time  0.443752
2021-09-29 09:06:03.196496 : Epoch  8, Batch    748, Loss  0.861018, Average Loss  0.869447, Time  0.444745
2021-09-29 09:06:08.802953 : Epoch  8, Batch    749, Loss  0.876147, Average Loss  0.869428, Time  0.445704
2021-09-29 09:06:14.528931 : Epoch  8, Batch    750, Loss  0.862458, Average Loss  0.869375, Time  0.444150
2021-09-29 09:06:20.189866 : Epoch  8, Batch    751, Loss  0.869267, Average Loss  0.869382, Time  0.455331
2021-09-29 09:06:25.916808 : Epoch  8, Batch    752, Loss  0.870309, Average Loss  0.869444, Time  0.444514
2021-09-29 09:06:31.628988 : Epoch  8, Batch    753, Loss  0.873394, Average Loss  0.869525, Time  0.443587
2021-09-29 09:06:37.159252 : Epoch  8, Batch    754, Loss  0.862976, Average Loss  0.869408, Time  0.441674
2021-09-29 09:06:42.704912 : Epoch  8, Batch    755, Loss  0.875050, Average Loss  0.869425, Time  0.441751
2021-09-29 09:06:48.244464 : Epoch  8, Batch    756, Loss  0.861474, Average Loss  0.869447, Time  0.444849
2021-09-29 09:06:53.861703 : Epoch  8, Batch    757, Loss  0.867087, Average Loss  0.869474, Time  0.443281
2021-09-29 09:06:59.365458 : Epoch  8, Batch    758, Loss  0.863677, Average Loss  0.869481, Time  0.443371
2021-09-29 09:07:04.990491 : Epoch  8, Batch    759, Loss  0.885781, Average Loss  0.869542, Time  0.441926
2021-09-29 09:07:10.654538 : Epoch  8, Batch    760, Loss  0.857738, Average Loss  0.869443, Time  0.455525
2021-09-29 09:07:16.115887 : Epoch  8, Batch    761, Loss  0.857643, Average Loss  0.869396, Time  0.444785
2021-09-29 09:07:21.830510 : Epoch  8, Batch    762, Loss  0.854846, Average Loss  0.869315, Time  0.442750
2021-09-29 09:07:27.362762 : Epoch  8, Batch    763, Loss  0.860437, Average Loss  0.869187, Time  0.441466
2021-09-29 09:07:32.881482 : Epoch  8, Batch    764, Loss  0.865987, Average Loss  0.869169, Time  0.444092
2021-09-29 09:07:38.537267 : Epoch  8, Batch    765, Loss  0.855677, Average Loss  0.869071, Time  0.444777
2021-09-29 09:07:44.026877 : Epoch  8, Batch    766, Loss  0.855577, Average Loss  0.868972, Time  0.441312
2021-09-29 09:07:49.575635 : Epoch  8, Batch    767, Loss  0.882323, Average Loss  0.869059, Time  0.443084
2021-09-29 09:07:55.269833 : Epoch  8, Batch    768, Loss  0.873223, Average Loss  0.869071, Time  0.458597
2021-09-29 09:08:00.909446 : Epoch  8, Batch    769, Loss  0.845371, Average Loss  0.868981, Time  0.443255
2021-09-29 09:08:06.529127 : Epoch  8, Batch    770, Loss  0.880013, Average Loss  0.868969, Time  0.441744
2021-09-29 09:08:12.090024 : Epoch  8, Batch    771, Loss  0.857942, Average Loss  0.868927, Time  0.443762
2021-09-29 09:08:17.749629 : Epoch  8, Batch    772, Loss  0.873419, Average Loss  0.868946, Time  0.443573
2021-09-29 09:08:23.197368 : Epoch  8, Batch    773, Loss  0.864988, Average Loss  0.868899, Time  0.443199
2021-09-29 09:08:28.649518 : Epoch  8, Batch    774, Loss  0.887719, Average Loss  0.868949, Time  0.440467
2021-09-29 09:08:34.078197 : Epoch  8, Batch    775, Loss  0.863046, Average Loss  0.868910, Time  0.443582
2021-09-29 09:08:39.637497 : Epoch  8, Batch    776, Loss  0.861179, Average Loss  0.868841, Time  0.443967
2021-09-29 09:08:45.329374 : Epoch  8, Batch    777, Loss  0.865403, Average Loss  0.868854, Time  0.453178
2021-09-29 09:08:50.871921 : Epoch  8, Batch    778, Loss  0.873668, Average Loss  0.868962, Time  0.445047
2021-09-29 09:08:56.379835 : Epoch  8, Batch    779, Loss  0.867602, Average Loss  0.869082, Time  0.441434
2021-09-29 09:09:01.782381 : Epoch  8, Batch    780, Loss  0.865810, Average Loss  0.869060, Time  0.445225
2021-09-29 09:09:07.431240 : Epoch  8, Batch    781, Loss  0.857609, Average Loss  0.869039, Time  0.443355
2021-09-29 09:09:13.031871 : Epoch  8, Batch    782, Loss  0.859526, Average Loss  0.869020, Time  0.445109
2021-09-29 09:09:18.622924 : Epoch  8, Batch    783, Loss  0.870730, Average Loss  0.869057, Time  0.441710
2021-09-29 09:09:24.140723 : Epoch  8, Batch    784, Loss  0.860812, Average Loss  0.869017, Time  0.443538
2021-09-29 09:09:29.842451 : Epoch  8, Batch    785, Loss  0.888538, Average Loss  0.869105, Time  0.459238
2021-09-29 09:09:35.533474 : Epoch  8, Batch    786, Loss  0.871764, Average Loss  0.869123, Time  0.444563
2021-09-29 09:09:41.186353 : Epoch  8, Batch    787, Loss  0.863795, Average Loss  0.869093, Time  0.441362
2021-09-29 09:09:46.616539 : Epoch  8, Batch    788, Loss  0.865409, Average Loss  0.869016, Time  0.443198
2021-09-29 09:09:52.140993 : Epoch  8, Batch    789, Loss  0.861535, Average Loss  0.868976, Time  0.442281
2021-09-29 09:09:57.877558 : Epoch  8, Batch    790, Loss  0.883158, Average Loss  0.869001, Time  0.443640
2021-09-29 09:10:03.428877 : Epoch  8, Batch    791, Loss  0.871458, Average Loss  0.869024, Time  0.444220
2021-09-29 09:10:08.908172 : Epoch  8, Batch    792, Loss  0.877558, Average Loss  0.869095, Time  0.441856
2021-09-29 09:10:14.491891 : Epoch  8, Batch    793, Loss  0.880820, Average Loss  0.869094, Time  0.441551
2021-09-29 09:10:20.096550 : Epoch  8, Batch    794, Loss  0.866624, Average Loss  0.869074, Time  0.448172
2021-09-29 09:10:25.473671 : Epoch  8, Batch    795, Loss  0.882522, Average Loss  0.869137, Time  0.443839
2021-09-29 09:10:31.134456 : Epoch  8, Batch    796, Loss  0.875615, Average Loss  0.869159, Time  0.441187
2021-09-29 09:10:36.695918 : Epoch  8, Batch    797, Loss  0.855639, Average Loss  0.868974, Time  0.443777
2021-09-29 09:10:42.343221 : Epoch  8, Batch    798, Loss  0.869760, Average Loss  0.868983, Time  0.445440
2021-09-29 09:10:48.052058 : Epoch  8, Batch    799, Loss  0.867579, Average Loss  0.868916, Time  0.444615
2021-09-29 09:10:53.630451 : Epoch  8, Batch    800, Loss  0.869318, Average Loss  0.868901, Time  0.445057
2021-09-29 09:10:59.329541 : Epoch  8, Batch    801, Loss  0.873928, Average Loss  0.868948, Time  0.443949
2021-09-29 09:11:04.949122 : Epoch  8, Batch    802, Loss  0.846462, Average Loss  0.868808, Time  0.441811
2021-09-29 09:11:10.401459 : Epoch  8, Batch    803, Loss  0.873239, Average Loss  0.868876, Time  0.448182
2021-09-29 09:11:15.968471 : Epoch  8, Batch    804, Loss  0.875667, Average Loss  0.868905, Time  0.445174
2021-09-29 09:15:35.610473 : CheckPoint: Validation Loss  0.00014966, Best Loss  0.00014870
2021-09-29 09:15:41.259820 : Epoch  8, Batch    805, Loss  0.873762, Average Loss  0.868948, Time  0.444134
2021-09-29 09:15:46.842722 : Epoch  8, Batch    806, Loss  0.885990, Average Loss  0.869052, Time  0.443810
2021-09-29 09:15:52.490025 : Epoch  8, Batch    807, Loss  0.869317, Average Loss  0.869015, Time  0.451625
2021-09-29 09:15:57.964988 : Epoch  8, Batch    808, Loss  0.882007, Average Loss  0.869041, Time  0.444093
2021-09-29 09:16:03.650521 : Epoch  8, Batch    809, Loss  0.876847, Average Loss  0.869183, Time  0.445091
2021-09-29 09:16:09.377880 : Epoch  8, Batch    810, Loss  0.858938, Average Loss  0.869105, Time  0.444978
2021-09-29 09:16:15.095234 : Epoch  8, Batch    811, Loss  0.873518, Average Loss  0.869176, Time  0.441665
2021-09-29 09:16:20.786807 : Epoch  8, Batch    812, Loss  0.861968, Average Loss  0.869156, Time  0.445852
2021-09-29 09:16:26.518593 : Epoch  8, Batch    813, Loss  0.876101, Average Loss  0.869230, Time  0.445967
2021-09-29 09:16:32.189957 : Epoch  8, Batch    814, Loss  0.855214, Average Loss  0.869200, Time  0.443863
2021-09-29 09:16:37.916756 : Epoch  8, Batch    815, Loss  0.866836, Average Loss  0.869202, Time  0.456593
2021-09-29 09:16:43.372068 : Epoch  8, Batch    816, Loss  0.870597, Average Loss  0.869234, Time  0.441714
2021-09-29 09:16:48.989892 : Epoch  8, Batch    817, Loss  0.865624, Average Loss  0.869247, Time  0.443860
2021-09-29 09:16:54.605277 : Epoch  8, Batch    818, Loss  0.861715, Average Loss  0.869250, Time  0.444142
2021-09-29 09:17:00.521696 : Epoch  8, Batch    819, Loss  0.868018, Average Loss  0.869276, Time  0.446071
2021-09-29 09:17:06.416848 : Epoch  8, Batch    820, Loss  0.867432, Average Loss  0.869235, Time  0.443993
2021-09-29 09:17:12.315441 : Epoch  8, Batch    821, Loss  0.869605, Average Loss  0.869252, Time  0.445372
2021-09-29 09:17:18.245937 : Epoch  8, Batch    822, Loss  0.868968, Average Loss  0.869260, Time  0.447033
2021-09-29 09:17:24.173576 : Epoch  8, Batch    823, Loss  0.875610, Average Loss  0.869310, Time  0.458539
2021-09-29 09:17:30.071040 : Epoch  8, Batch    824, Loss  0.865210, Average Loss  0.869333, Time  0.444215
2021-09-29 09:17:35.988836 : Epoch  8, Batch    825, Loss  0.879078, Average Loss  0.869403, Time  0.443701
2021-09-29 09:17:41.887351 : Epoch  8, Batch    826, Loss  0.869789, Average Loss  0.869424, Time  0.444553
2021-09-29 09:17:47.581394 : Epoch  8, Batch    827, Loss  0.859898, Average Loss  0.869429, Time  0.444673
2021-09-29 09:17:52.993245 : Epoch  8, Batch    828, Loss  0.879555, Average Loss  0.869507, Time  0.441049
2021-09-29 09:17:58.479919 : Epoch  8, Batch    829, Loss  0.868237, Average Loss  0.869391, Time  0.444719
2021-09-29 09:18:04.149730 : Epoch  8, Batch    830, Loss  0.861755, Average Loss  0.869301, Time  0.442634
2021-09-29 09:18:09.721623 : Epoch  8, Batch    831, Loss  0.865434, Average Loss  0.869283, Time  0.447951
2021-09-29 09:18:14.962345 : Epoch  8, Batch    832, Loss  0.875507, Average Loss  0.869308, Time  0.440097
2021-09-29 09:18:20.238019 : Epoch  8, Batch    833, Loss  0.879877, Average Loss  0.869370, Time  0.441021
2021-09-29 09:18:25.513705 : Epoch  8, Batch    834, Loss  0.862305, Average Loss  0.869374, Time  0.440839
2021-09-29 09:18:30.813613 : Epoch  8, Batch    835, Loss  0.870258, Average Loss  0.869319, Time  0.440425
2021-09-29 09:18:36.128301 : Epoch  8, Batch    836, Loss  0.874715, Average Loss  0.869258, Time  0.440622
2021-09-29 09:18:41.437846 : Epoch  8, Batch    837, Loss  0.862251, Average Loss  0.869231, Time  0.440483
2021-09-29 09:18:46.722407 : Epoch  8, Batch    838, Loss  0.873094, Average Loss  0.869304, Time  0.440543
2021-09-29 09:18:52.001378 : Epoch  8, Batch    839, Loss  0.854892, Average Loss  0.869255, Time  0.439699
2021-09-29 09:18:57.387165 : Epoch  8, Batch    840, Loss  0.862635, Average Loss  0.869252, Time  0.458497
2021-09-29 09:19:02.747904 : Epoch  8, Batch    841, Loss  0.863299, Average Loss  0.869210, Time  0.440144
2021-09-29 09:19:08.028618 : Epoch  8, Batch    842, Loss  0.897312, Average Loss  0.869259, Time  0.439970
2021-09-29 09:19:13.312578 : Epoch  8, Batch    843, Loss  0.877901, Average Loss  0.869335, Time  0.440542
2021-09-29 09:19:18.545393 : Epoch  8, Batch    844, Loss  0.884054, Average Loss  0.869400, Time  0.440977
2021-09-29 09:19:23.814691 : Epoch  8, Batch    845, Loss  0.872805, Average Loss  0.869505, Time  0.440232
2021-09-29 09:19:29.116053 : Epoch  8, Batch    846, Loss  0.873495, Average Loss  0.869538, Time  0.441860
2021-09-29 09:19:34.386779 : Epoch  8, Batch    847, Loss  0.875120, Average Loss  0.869555, Time  0.441702
2021-09-29 09:19:39.905554 : Epoch  8, Batch    848, Loss  0.885739, Average Loss  0.869620, Time  0.443432
2021-09-29 09:19:45.521053 : Epoch  8, Batch    849, Loss  0.872008, Average Loss  0.869685, Time  0.460391
2021-09-29 09:19:51.239003 : Epoch  8, Batch    850, Loss  0.872510, Average Loss  0.869619, Time  0.444705
2021-09-29 09:19:57.163794 : Epoch  8, Batch    851, Loss  0.879331, Average Loss  0.869610, Time  0.445276
2021-09-29 09:20:03.072821 : Epoch  8, Batch    852, Loss  0.862593, Average Loss  0.869562, Time  0.446782
2021-09-29 09:20:08.997759 : Epoch  8, Batch    853, Loss  0.863133, Average Loss  0.869518, Time  0.445725
2021-09-29 09:20:14.916296 : Epoch  8, Batch    854, Loss  0.875292, Average Loss  0.869605, Time  0.446149
2021-09-29 09:20:20.843837 : Epoch  8, Batch    855, Loss  0.870026, Average Loss  0.869617, Time  0.444598
2021-09-29 09:20:26.742128 : Epoch  8, Batch    856, Loss  0.869273, Average Loss  0.869554, Time  0.445195
2021-09-29 09:20:32.658461 : Epoch  8, Batch    857, Loss  0.875610, Average Loss  0.869536, Time  0.461033
2021-09-29 09:20:38.557319 : Epoch  8, Batch    858, Loss  0.883067, Average Loss  0.869527, Time  0.444068
2021-09-29 09:20:44.478817 : Epoch  8, Batch    859, Loss  0.880535, Average Loss  0.869611, Time  0.447660
2021-09-29 09:20:50.398282 : Epoch  8, Batch    860, Loss  0.869615, Average Loss  0.869631, Time  0.443973
2021-09-29 09:20:56.303998 : Epoch  8, Batch    861, Loss  0.874253, Average Loss  0.869610, Time  0.445587
2021-09-29 09:21:02.211306 : Epoch  8, Batch    862, Loss  0.874659, Average Loss  0.869607, Time  0.446421
2021-09-29 09:21:08.132008 : Epoch  8, Batch    863, Loss  0.868904, Average Loss  0.869592, Time  0.446489
2021-09-29 09:21:14.061692 : Epoch  8, Batch    864, Loss  0.877501, Average Loss  0.869579, Time  0.445637
2021-09-29 09:21:19.986210 : Epoch  8, Batch    865, Loss  0.870152, Average Loss  0.869598, Time  0.460801
2021-09-29 09:21:25.907399 : Epoch  8, Batch    866, Loss  0.879165, Average Loss  0.869709, Time  0.444493
2021-09-29 09:21:31.831513 : Epoch  8, Batch    867, Loss  0.872930, Average Loss  0.869743, Time  0.448515
2021-09-29 09:21:37.751352 : Epoch  8, Batch    868, Loss  0.861211, Average Loss  0.869651, Time  0.446661
2021-09-29 09:21:43.666610 : Epoch  8, Batch    869, Loss  0.857455, Average Loss  0.869562, Time  0.444466
2021-09-29 09:21:49.588806 : Epoch  8, Batch    870, Loss  0.863689, Average Loss  0.869490, Time  0.445441
2021-09-29 09:21:55.533434 : Epoch  8, Batch    871, Loss  0.867706, Average Loss  0.869462, Time  0.446542
2021-09-29 09:22:01.461032 : Epoch  8, Batch    872, Loss  0.871175, Average Loss  0.869510, Time  0.445204
2021-09-29 09:22:07.390078 : Epoch  8, Batch    873, Loss  0.862613, Average Loss  0.869419, Time  0.459746
2021-09-29 09:22:13.315785 : Epoch  8, Batch    874, Loss  0.863183, Average Loss  0.869467, Time  0.448059
2021-09-29 09:22:19.245726 : Epoch  8, Batch    875, Loss  0.867623, Average Loss  0.869448, Time  0.445815
2021-09-29 09:22:25.177143 : Epoch  8, Batch    876, Loss  0.878307, Average Loss  0.869516, Time  0.445946
2021-09-29 09:22:31.078750 : Epoch  8, Batch    877, Loss  0.867386, Average Loss  0.869482, Time  0.444665
2021-09-29 09:22:36.988818 : Epoch  8, Batch    878, Loss  0.864709, Average Loss  0.869458, Time  0.444252
2021-09-29 09:22:42.896263 : Epoch  8, Batch    879, Loss  0.875414, Average Loss  0.869479, Time  0.445572
2021-09-29 09:22:48.801320 : Epoch  8, Batch    880, Loss  0.875867, Average Loss  0.869542, Time  0.447097
2021-09-29 09:22:54.746077 : Epoch  8, Batch    881, Loss  0.857211, Average Loss  0.869425, Time  0.458668
2021-09-29 09:23:00.639744 : Epoch  8, Batch    882, Loss  0.872430, Average Loss  0.869464, Time  0.444384
2021-09-29 09:23:06.555536 : Epoch  8, Batch    883, Loss  0.879237, Average Loss  0.869519, Time  0.444486
2021-09-29 09:23:12.476127 : Epoch  8, Batch    884, Loss  0.876276, Average Loss  0.869519, Time  0.448069
2021-09-29 09:23:18.392849 : Epoch  8, Batch    885, Loss  0.875558, Average Loss  0.869622, Time  0.445403
2021-09-29 09:23:24.293852 : Epoch  8, Batch    886, Loss  0.862142, Average Loss  0.869629, Time  0.445733
2021-09-29 09:23:30.222848 : Epoch  8, Batch    887, Loss  0.876437, Average Loss  0.869642, Time  0.446329
2021-09-29 09:23:36.145637 : Epoch  8, Batch    888, Loss  0.872025, Average Loss  0.869743, Time  0.444557
2021-09-29 09:23:42.047266 : Epoch  8, Batch    889, Loss  0.864530, Average Loss  0.869700, Time  0.457923
2021-09-29 09:23:47.942299 : Epoch  8, Batch    890, Loss  0.871387, Average Loss  0.869702, Time  0.444262
2021-09-29 09:23:53.855724 : Epoch  8, Batch    891, Loss  0.877724, Average Loss  0.869769, Time  0.445351
2021-09-29 09:23:59.778635 : Epoch  8, Batch    892, Loss  0.870589, Average Loss  0.869856, Time  0.446713
2021-09-29 09:24:05.672809 : Epoch  8, Batch    893, Loss  0.857960, Average Loss  0.869807, Time  0.444129
2021-09-29 09:24:11.588978 : Epoch  8, Batch    894, Loss  0.883937, Average Loss  0.869865, Time  0.445385
2021-09-29 09:24:17.501054 : Epoch  8, Batch    895, Loss  0.874889, Average Loss  0.869901, Time  0.444689
2021-09-29 09:24:23.429158 : Epoch  8, Batch    896, Loss  0.871410, Average Loss  0.869911, Time  0.446650
2021-09-29 09:24:29.367358 : Epoch  8, Batch    897, Loss  0.867800, Average Loss  0.869917, Time  0.463162
2021-09-29 09:24:35.287739 : Epoch  8, Batch    898, Loss  0.868200, Average Loss  0.869905, Time  0.446315
2021-09-29 09:24:41.203799 : Epoch  8, Batch    899, Loss  0.864484, Average Loss  0.869885, Time  0.448004
2021-09-29 09:24:47.148449 : Epoch  8, Batch    900, Loss  0.860309, Average Loss  0.869854, Time  0.448623
2021-09-29 09:24:53.085898 : Epoch  8, Batch    901, Loss  0.881959, Average Loss  0.869922, Time  0.444782
2021-09-29 09:24:59.017817 : Epoch  8, Batch    902, Loss  0.858322, Average Loss  0.869942, Time  0.446800
2021-09-29 09:25:04.951750 : Epoch  8, Batch    903, Loss  0.867845, Average Loss  0.869900, Time  0.445145
2021-09-29 09:25:10.903355 : Epoch  8, Batch    904, Loss  0.878732, Average Loss  0.869966, Time  0.464175
2021-09-29 09:29:48.674579 : CheckPoint: Validation Loss  0.00014933, Best Loss  0.00014870
2021-09-29 09:29:54.609148 : Epoch  8, Batch    905, Loss  0.869072, Average Loss  0.869972, Time  0.445919
2021-09-29 09:30:00.539984 : Epoch  8, Batch    906, Loss  0.872786, Average Loss  0.870023, Time  0.446601
2021-09-29 09:30:06.492596 : Epoch  8, Batch    907, Loss  0.882372, Average Loss  0.870007, Time  0.444669
2021-09-29 09:30:12.419844 : Epoch  8, Batch    908, Loss  0.871301, Average Loss  0.870043, Time  0.446063
2021-09-29 09:30:18.358769 : Epoch  8, Batch    909, Loss  0.859674, Average Loss  0.869969, Time  0.444602
2021-09-29 09:30:24.307045 : Epoch  8, Batch    910, Loss  0.867111, Average Loss  0.869911, Time  0.446450
2021-09-29 09:30:30.229895 : Epoch  8, Batch    911, Loss  0.871723, Average Loss  0.869984, Time  0.445239
2021-09-29 09:30:36.175482 : Epoch  8, Batch    912, Loss  0.877006, Average Loss  0.869955, Time  0.459918
2021-09-29 09:30:42.109884 : Epoch  8, Batch    913, Loss  0.870117, Average Loss  0.869927, Time  0.445123
2021-09-29 09:30:48.041278 : Epoch  8, Batch    914, Loss  0.885902, Average Loss  0.869916, Time  0.445636
2021-09-29 09:30:53.994881 : Epoch  8, Batch    915, Loss  0.876085, Average Loss  0.869929, Time  0.445895
2021-09-29 09:30:59.918857 : Epoch  8, Batch    916, Loss  0.880249, Average Loss  0.869989, Time  0.444831
2021-09-29 09:31:05.862775 : Epoch  8, Batch    917, Loss  0.883399, Average Loss  0.870107, Time  0.445305
2021-09-29 09:31:11.802341 : Epoch  8, Batch    918, Loss  0.860699, Average Loss  0.870045, Time  0.444802
2021-09-29 09:31:17.762945 : Epoch  8, Batch    919, Loss  0.868063, Average Loss  0.870012, Time  0.459703
2021-09-29 09:31:23.698479 : Epoch  8, Batch    920, Loss  0.893081, Average Loss  0.870111, Time  0.449558
2021-09-29 09:31:29.629871 : Epoch  8, Batch    921, Loss  0.868209, Average Loss  0.870071, Time  0.446857
2021-09-29 09:31:35.566869 : Epoch  8, Batch    922, Loss  0.888740, Average Loss  0.870185, Time  0.444243
2021-09-29 09:31:41.507717 : Epoch  8, Batch    923, Loss  0.875807, Average Loss  0.870257, Time  0.446463
2021-09-29 09:31:47.446671 : Epoch  8, Batch    924, Loss  0.871590, Average Loss  0.870228, Time  0.445556
2021-09-29 09:31:53.385086 : Epoch  8, Batch    925, Loss  0.862873, Average Loss  0.870227, Time  0.446215
2021-09-29 09:31:59.317419 : Epoch  8, Batch    926, Loss  0.880194, Average Loss  0.870310, Time  0.445717
2021-09-29 09:32:05.267279 : Epoch  8, Batch    927, Loss  0.871192, Average Loss  0.870334, Time  0.458021
2021-09-29 09:32:11.197735 : Epoch  8, Batch    928, Loss  0.861322, Average Loss  0.870272, Time  0.444078
2021-09-29 09:32:11.225136 : Saving Model after 8-th Epoch.
2021-09-29 09:32:12.044757 : Epoch Finished.
2021-09-29 09:32:17.631849 : Batch Shuffled
2021-09-29 09:32:23.557331 : Epoch  9, Batch      1, Loss  0.881192, Average Loss  0.870427, Time  0.445075
2021-09-29 09:32:29.493977 : Epoch  9, Batch      2, Loss  0.877793, Average Loss  0.870442, Time  0.446305
2021-09-29 09:32:35.422212 : Epoch  9, Batch      3, Loss  0.878744, Average Loss  0.870457, Time  0.444677
2021-09-29 09:32:41.331512 : Epoch  9, Batch      4, Loss  0.882231, Average Loss  0.870539, Time  0.446887
2021-09-29 09:32:47.247683 : Epoch  9, Batch      5, Loss  0.861721, Average Loss  0.870496, Time  0.447299
2021-09-29 09:32:53.175347 : Epoch  9, Batch      6, Loss  0.877053, Average Loss  0.870516, Time  0.462497
2021-09-29 09:32:59.090975 : Epoch  9, Batch      7, Loss  0.872361, Average Loss  0.870491, Time  0.445016
2021-09-29 09:33:05.011265 : Epoch  9, Batch      8, Loss  0.877862, Average Loss  0.870568, Time  0.446969
2021-09-29 09:33:10.926795 : Epoch  9, Batch      9, Loss  0.869954, Average Loss  0.870525, Time  0.447765
2021-09-29 09:33:16.845037 : Epoch  9, Batch     10, Loss  0.863305, Average Loss  0.870472, Time  0.444408
2021-09-29 09:33:22.769517 : Epoch  9, Batch     11, Loss  0.866232, Average Loss  0.870492, Time  0.445732
2021-09-29 09:33:28.695972 : Epoch  9, Batch     12, Loss  0.870442, Average Loss  0.870408, Time  0.448970
2021-09-29 09:33:34.618028 : Epoch  9, Batch     13, Loss  0.874640, Average Loss  0.870379, Time  0.446242
2021-09-29 09:33:40.566823 : Epoch  9, Batch     14, Loss  0.878040, Average Loss  0.870416, Time  0.458000
2021-09-29 09:33:46.484785 : Epoch  9, Batch     15, Loss  0.870122, Average Loss  0.870389, Time  0.446307
2021-09-29 09:33:52.402766 : Epoch  9, Batch     16, Loss  0.858339, Average Loss  0.870363, Time  0.445062
2021-09-29 09:33:58.300883 : Epoch  9, Batch     17, Loss  0.876095, Average Loss  0.870433, Time  0.444878
2021-09-29 09:34:04.228407 : Epoch  9, Batch     18, Loss  0.856264, Average Loss  0.870381, Time  0.446243
2021-09-29 09:34:10.162690 : Epoch  9, Batch     19, Loss  0.890538, Average Loss  0.870497, Time  0.446257
2021-09-29 09:34:16.078117 : Epoch  9, Batch     20, Loss  0.869734, Average Loss  0.870540, Time  0.447018
2021-09-29 09:34:21.987850 : Epoch  9, Batch     21, Loss  0.874160, Average Loss  0.870531, Time  0.445050
2021-09-29 09:34:27.896416 : Epoch  9, Batch     22, Loss  0.874519, Average Loss  0.870591, Time  0.450684
2021-09-29 09:34:33.807945 : Epoch  9, Batch     23, Loss  0.856242, Average Loss  0.870526, Time  0.446841
2021-09-29 09:34:39.731396 : Epoch  9, Batch     24, Loss  0.865876, Average Loss  0.870504, Time  0.444781
2021-09-29 09:34:45.648165 : Epoch  9, Batch     25, Loss  0.867011, Average Loss  0.870472, Time  0.446091
2021-09-29 09:34:51.560999 : Epoch  9, Batch     26, Loss  0.883422, Average Loss  0.870574, Time  0.447367
2021-09-29 09:34:57.476495 : Epoch  9, Batch     27, Loss  0.869180, Average Loss  0.870544, Time  0.445855
2021-09-29 09:35:03.389566 : Epoch  9, Batch     28, Loss  0.871778, Average Loss  0.870596, Time  0.448153
2021-09-29 09:35:09.313231 : Epoch  9, Batch     29, Loss  0.871363, Average Loss  0.870617, Time  0.444810
2021-09-29 09:35:15.243519 : Epoch  9, Batch     30, Loss  0.870382, Average Loss  0.870651, Time  0.461121
2021-09-29 09:35:21.153764 : Epoch  9, Batch     31, Loss  0.876641, Average Loss  0.870605, Time  0.448041
2021-09-29 09:35:27.087250 : Epoch  9, Batch     32, Loss  0.862237, Average Loss  0.870628, Time  0.445006
2021-09-29 09:35:33.002578 : Epoch  9, Batch     33, Loss  0.870192, Average Loss  0.870690, Time  0.446225
2021-09-29 09:35:38.926157 : Epoch  9, Batch     34, Loss  0.876729, Average Loss  0.870800, Time  0.448238
2021-09-29 09:35:44.858096 : Epoch  9, Batch     35, Loss  0.857374, Average Loss  0.870785, Time  0.448086
2021-09-29 09:35:50.763827 : Epoch  9, Batch     36, Loss  0.875482, Average Loss  0.870832, Time  0.447757
2021-09-29 09:35:56.696944 : Epoch  9, Batch     37, Loss  0.878852, Average Loss  0.870948, Time  0.446859
2021-09-29 09:36:02.640678 : Epoch  9, Batch     38, Loss  0.871352, Average Loss  0.871027, Time  0.453471
2021-09-29 09:36:08.551799 : Epoch  9, Batch     39, Loss  0.871864, Average Loss  0.870974, Time  0.444484
2021-09-29 09:36:14.478391 : Epoch  9, Batch     40, Loss  0.885404, Average Loss  0.871035, Time  0.445835
2021-09-29 09:36:20.397161 : Epoch  9, Batch     41, Loss  0.870710, Average Loss  0.871162, Time  0.446212
2021-09-29 09:36:26.313830 : Epoch  9, Batch     42, Loss  0.871214, Average Loss  0.871118, Time  0.444765
2021-09-29 09:36:32.246843 : Epoch  9, Batch     43, Loss  0.860000, Average Loss  0.871128, Time  0.447249
2021-09-29 09:36:38.184824 : Epoch  9, Batch     44, Loss  0.867898, Average Loss  0.871101, Time  0.445647
2021-09-29 09:36:44.111836 : Epoch  9, Batch     45, Loss  0.885360, Average Loss  0.871203, Time  0.445004
2021-09-29 09:36:50.057776 : Epoch  9, Batch     46, Loss  0.864845, Average Loss  0.871088, Time  0.455792
2021-09-29 09:36:55.963571 : Epoch  9, Batch     47, Loss  0.859249, Average Loss  0.871069, Time  0.445279
2021-09-29 09:37:01.894394 : Epoch  9, Batch     48, Loss  0.880098, Average Loss  0.871164, Time  0.446657
2021-09-29 09:37:07.825068 : Epoch  9, Batch     49, Loss  0.870453, Average Loss  0.871189, Time  0.447761
2021-09-29 09:37:13.735061 : Epoch  9, Batch     50, Loss  0.871639, Average Loss  0.871179, Time  0.444687
2021-09-29 09:37:19.652367 : Epoch  9, Batch     51, Loss  0.877284, Average Loss  0.871227, Time  0.445250
2021-09-29 09:37:25.566502 : Epoch  9, Batch     52, Loss  0.872466, Average Loss  0.871261, Time  0.447726
2021-09-29 09:37:31.475790 : Epoch  9, Batch     53, Loss  0.857379, Average Loss  0.871260, Time  0.444313
2021-09-29 09:37:37.435406 : Epoch  9, Batch     54, Loss  0.878404, Average Loss  0.871354, Time  0.466481
2021-09-29 09:37:43.344402 : Epoch  9, Batch     55, Loss  0.869129, Average Loss  0.871346, Time  0.445785
2021-09-29 09:37:49.271074 : Epoch  9, Batch     56, Loss  0.870547, Average Loss  0.871395, Time  0.446788
2021-09-29 09:37:55.205139 : Epoch  9, Batch     57, Loss  0.865805, Average Loss  0.871281, Time  0.449126
2021-09-29 09:38:01.133998 : Epoch  9, Batch     58, Loss  0.868116, Average Loss  0.871263, Time  0.445947
2021-09-29 09:38:07.049802 : Epoch  9, Batch     59, Loss  0.871465, Average Loss  0.871301, Time  0.446498
2021-09-29 09:38:12.972002 : Epoch  9, Batch     60, Loss  0.861607, Average Loss  0.871282, Time  0.450864
2021-09-29 09:38:18.885769 : Epoch  9, Batch     61, Loss  0.879738, Average Loss  0.871373, Time  0.445532
2021-09-29 09:38:24.824397 : Epoch  9, Batch     62, Loss  0.864891, Average Loss  0.871282, Time  0.461842
2021-09-29 09:38:30.750136 : Epoch  9, Batch     63, Loss  0.871739, Average Loss  0.871283, Time  0.445863
2021-09-29 09:38:36.675389 : Epoch  9, Batch     64, Loss  0.862780, Average Loss  0.871209, Time  0.446151
2021-09-29 09:38:42.608488 : Epoch  9, Batch     65, Loss  0.859501, Average Loss  0.871103, Time  0.446422
2021-09-29 09:38:48.531756 : Epoch  9, Batch     66, Loss  0.879504, Average Loss  0.871167, Time  0.448310
2021-09-29 09:38:54.457166 : Epoch  9, Batch     67, Loss  0.875423, Average Loss  0.871132, Time  0.446041
2021-09-29 09:39:00.367475 : Epoch  9, Batch     68, Loss  0.874174, Average Loss  0.871124, Time  0.445615
2021-09-29 09:39:06.296909 : Epoch  9, Batch     69, Loss  0.866516, Average Loss  0.871179, Time  0.446627
2021-09-29 09:39:12.251807 : Epoch  9, Batch     70, Loss  0.878024, Average Loss  0.871220, Time  0.461550
2021-09-29 09:39:18.183029 : Epoch  9, Batch     71, Loss  0.868319, Average Loss  0.871224, Time  0.444998
2021-09-29 09:39:24.104719 : Epoch  9, Batch     72, Loss  0.880798, Average Loss  0.871281, Time  0.445784
2021-09-29 09:39:30.001494 : Epoch  9, Batch     73, Loss  0.874412, Average Loss  0.871284, Time  0.444136
2021-09-29 09:39:35.939785 : Epoch  9, Batch     74, Loss  0.873746, Average Loss  0.871420, Time  0.444373
2021-09-29 09:39:41.879647 : Epoch  9, Batch     75, Loss  0.869912, Average Loss  0.871403, Time  0.445491
2021-09-29 09:39:47.789998 : Epoch  9, Batch     76, Loss  0.872759, Average Loss  0.871389, Time  0.444682
2021-09-29 09:44:25.395960 : CheckPoint: Validation Loss  0.00015011, Best Loss  0.00014870
2021-09-29 09:44:31.331930 : Epoch  9, Batch     77, Loss  0.875828, Average Loss  0.871399, Time  0.455979
2021-09-29 09:44:37.253668 : Epoch  9, Batch     78, Loss  0.858829, Average Loss  0.871263, Time  0.445571
2021-09-29 09:44:43.157565 : Epoch  9, Batch     79, Loss  0.854180, Average Loss  0.871188, Time  0.444359
2021-09-29 09:44:49.086843 : Epoch  9, Batch     80, Loss  0.878402, Average Loss  0.871170, Time  0.444197
2021-09-29 09:44:55.020779 : Epoch  9, Batch     81, Loss  0.874064, Average Loss  0.871156, Time  0.445044
2021-09-29 09:45:00.935686 : Epoch  9, Batch     82, Loss  0.866751, Average Loss  0.871195, Time  0.444452
2021-09-29 09:45:06.854768 : Epoch  9, Batch     83, Loss  0.856194, Average Loss  0.871108, Time  0.444780
2021-09-29 09:45:12.796767 : Epoch  9, Batch     84, Loss  0.878107, Average Loss  0.871189, Time  0.451840
2021-09-29 09:45:18.739377 : Epoch  9, Batch     85, Loss  0.871414, Average Loss  0.871165, Time  0.459904
2021-09-29 09:45:24.657533 : Epoch  9, Batch     86, Loss  0.866155, Average Loss  0.871220, Time  0.444474
2021-09-29 09:45:30.581321 : Epoch  9, Batch     87, Loss  0.869171, Average Loss  0.871232, Time  0.445864
2021-09-29 09:45:36.518169 : Epoch  9, Batch     88, Loss  0.878877, Average Loss  0.871273, Time  0.445735
2021-09-29 09:45:42.469763 : Epoch  9, Batch     89, Loss  0.889336, Average Loss  0.871392, Time  0.444741
2021-09-29 09:45:48.395839 : Epoch  9, Batch     90, Loss  0.867699, Average Loss  0.871422, Time  0.448907
2021-09-29 09:45:54.323025 : Epoch  9, Batch     91, Loss  0.875127, Average Loss  0.871457, Time  0.447539
2021-09-29 09:46:00.254735 : Epoch  9, Batch     92, Loss  0.879506, Average Loss  0.871518, Time  0.446432
2021-09-29 09:46:06.203813 : Epoch  9, Batch     93, Loss  0.864573, Average Loss  0.871492, Time  0.459918
2021-09-29 09:46:12.145462 : Epoch  9, Batch     94, Loss  0.880285, Average Loss  0.871549, Time  0.444136
2021-09-29 09:46:18.063834 : Epoch  9, Batch     95, Loss  0.865556, Average Loss  0.871499, Time  0.444093
2021-09-29 09:46:23.990795 : Epoch  9, Batch     96, Loss  0.872556, Average Loss  0.871535, Time  0.445755
2021-09-29 09:46:29.908851 : Epoch  9, Batch     97, Loss  0.858302, Average Loss  0.871432, Time  0.445452
2021-09-29 09:46:35.844984 : Epoch  9, Batch     98, Loss  0.867789, Average Loss  0.871422, Time  0.444630
2021-09-29 09:46:41.757564 : Epoch  9, Batch     99, Loss  0.870292, Average Loss  0.871474, Time  0.445735
2021-09-29 09:46:47.695846 : Epoch  9, Batch    100, Loss  0.877782, Average Loss  0.871465, Time  0.446629
2021-09-29 09:46:53.646025 : Epoch  9, Batch    101, Loss  0.886427, Average Loss  0.871556, Time  0.458933
2021-09-29 09:46:59.564748 : Epoch  9, Batch    102, Loss  0.872634, Average Loss  0.871610, Time  0.445510
2021-09-29 09:47:05.491340 : Epoch  9, Batch    103, Loss  0.867517, Average Loss  0.871620, Time  0.447453
2021-09-29 09:47:11.440692 : Epoch  9, Batch    104, Loss  0.861664, Average Loss  0.871551, Time  0.446408
2021-09-29 09:47:17.354613 : Epoch  9, Batch    105, Loss  0.873601, Average Loss  0.871520, Time  0.445102
2021-09-29 09:47:23.277767 : Epoch  9, Batch    106, Loss  0.864873, Average Loss  0.871533, Time  0.445785
2021-09-29 09:47:29.214477 : Epoch  9, Batch    107, Loss  0.880260, Average Loss  0.871583, Time  0.446926
2021-09-29 09:47:35.143149 : Epoch  9, Batch    108, Loss  0.879400, Average Loss  0.871606, Time  0.448801
2021-09-29 09:47:41.079125 : Epoch  9, Batch    109, Loss  0.866121, Average Loss  0.871625, Time  0.463553
2021-09-29 09:47:46.999821 : Epoch  9, Batch    110, Loss  0.856262, Average Loss  0.871541, Time  0.446515
2021-09-29 09:47:52.938798 : Epoch  9, Batch    111, Loss  0.885182, Average Loss  0.871693, Time  0.446496
2021-09-29 09:47:58.870020 : Epoch  9, Batch    112, Loss  0.870032, Average Loss  0.871730, Time  0.445370
2021-09-29 09:48:04.796733 : Epoch  9, Batch    113, Loss  0.876046, Average Loss  0.871793, Time  0.446868
2021-09-29 09:48:10.716927 : Epoch  9, Batch    114, Loss  0.875286, Average Loss  0.871683, Time  0.444199
2021-09-29 09:48:16.659326 : Epoch  9, Batch    115, Loss  0.868697, Average Loss  0.871637, Time  0.445159
2021-09-29 09:48:22.577988 : Epoch  9, Batch    116, Loss  0.891289, Average Loss  0.871674, Time  0.446057
2021-09-29 09:48:28.506467 : Epoch  9, Batch    117, Loss  0.885656, Average Loss  0.871738, Time  0.454055
2021-09-29 09:48:34.425215 : Epoch  9, Batch    118, Loss  0.860955, Average Loss  0.871675, Time  0.446107
2021-09-29 09:48:40.352827 : Epoch  9, Batch    119, Loss  0.865777, Average Loss  0.871628, Time  0.444978
2021-09-29 09:48:46.289866 : Epoch  9, Batch    120, Loss  0.861576, Average Loss  0.871508, Time  0.444555
2021-09-29 09:48:52.226226 : Epoch  9, Batch    121, Loss  0.873861, Average Loss  0.871517, Time  0.450294
2021-09-29 09:48:58.163751 : Epoch  9, Batch    122, Loss  0.885040, Average Loss  0.871579, Time  0.447473
2021-09-29 09:49:04.094375 : Epoch  9, Batch    123, Loss  0.882837, Average Loss  0.871597, Time  0.446234
2021-09-29 09:49:10.032061 : Epoch  9, Batch    124, Loss  0.870181, Average Loss  0.871635, Time  0.444987
2021-09-29 09:49:15.968743 : Epoch  9, Batch    125, Loss  0.879828, Average Loss  0.871718, Time  0.454983
2021-09-29 09:49:21.899937 : Epoch  9, Batch    126, Loss  0.885960, Average Loss  0.871772, Time  0.445766
2021-09-29 09:49:27.805430 : Epoch  9, Batch    127, Loss  0.892592, Average Loss  0.871885, Time  0.445651
2021-09-29 09:49:33.739660 : Epoch  9, Batch    128, Loss  0.873054, Average Loss  0.871903, Time  0.449179
2021-09-29 09:49:39.672151 : Epoch  9, Batch    129, Loss  0.864438, Average Loss  0.871848, Time  0.445936
2021-09-29 09:49:45.592416 : Epoch  9, Batch    130, Loss  0.872053, Average Loss  0.871793, Time  0.446920
2021-09-29 09:49:51.533803 : Epoch  9, Batch    131, Loss  0.870236, Average Loss  0.871741, Time  0.447485
2021-09-29 09:49:57.477938 : Epoch  9, Batch    132, Loss  0.852934, Average Loss  0.871658, Time  0.446005
2021-09-29 09:50:03.412471 : Epoch  9, Batch    133, Loss  0.861076, Average Loss  0.871592, Time  0.454046
2021-09-29 09:50:09.338570 : Epoch  9, Batch    134, Loss  0.873691, Average Loss  0.871587, Time  0.447308
2021-09-29 09:50:15.248658 : Epoch  9, Batch    135, Loss  0.855291, Average Loss  0.871519, Time  0.445729
2021-09-29 09:50:21.187427 : Epoch  9, Batch    136, Loss  0.871240, Average Loss  0.871488, Time  0.445906
2021-09-29 09:50:27.105238 : Epoch  9, Batch    137, Loss  0.870971, Average Loss  0.871492, Time  0.445379
2021-09-29 09:50:33.050273 : Epoch  9, Batch    138, Loss  0.863850, Average Loss  0.871415, Time  0.448371
2021-09-29 09:50:38.974405 : Epoch  9, Batch    139, Loss  0.863815, Average Loss  0.871370, Time  0.444731
2021-09-29 09:50:44.916789 : Epoch  9, Batch    140, Loss  0.870099, Average Loss  0.871414, Time  0.447713
2021-09-29 09:50:50.862468 : Epoch  9, Batch    141, Loss  0.856797, Average Loss  0.871411, Time  0.455459
2021-09-29 09:50:56.781549 : Epoch  9, Batch    142, Loss  0.877828, Average Loss  0.871481, Time  0.444392
2021-09-29 09:51:02.701141 : Epoch  9, Batch    143, Loss  0.866348, Average Loss  0.871475, Time  0.450168
2021-09-29 09:51:08.634866 : Epoch  9, Batch    144, Loss  0.862478, Average Loss  0.871431, Time  0.445138
2021-09-29 09:51:14.570776 : Epoch  9, Batch    145, Loss  0.867158, Average Loss  0.871454, Time  0.445486
2021-09-29 09:51:20.501853 : Epoch  9, Batch    146, Loss  0.863024, Average Loss  0.871453, Time  0.445692
2021-09-29 09:51:26.420215 : Epoch  9, Batch    147, Loss  0.866107, Average Loss  0.871445, Time  0.445562
2021-09-29 09:51:32.355828 : Epoch  9, Batch    148, Loss  0.854439, Average Loss  0.871326, Time  0.445487
2021-09-29 09:51:38.307295 : Epoch  9, Batch    149, Loss  0.867245, Average Loss  0.871325, Time  0.458576
2021-09-29 09:51:44.233456 : Epoch  9, Batch    150, Loss  0.872922, Average Loss  0.871366, Time  0.444818
2021-09-29 09:51:50.155783 : Epoch  9, Batch    151, Loss  0.858961, Average Loss  0.871284, Time  0.445161
2021-09-29 09:51:56.081601 : Epoch  9, Batch    152, Loss  0.868655, Average Loss  0.871248, Time  0.444204
2021-09-29 09:52:02.019819 : Epoch  9, Batch    153, Loss  0.871196, Average Loss  0.871318, Time  0.448031
2021-09-29 09:52:06.426271 : Epoch  9, Batch    154, Loss  0.854129, Average Loss  0.871227, Time  0.345374
2021-09-29 09:52:12.354274 : Epoch  9, Batch    155, Loss  0.877658, Average Loss  0.871219, Time  0.446103
2021-09-29 09:52:18.295988 : Epoch  9, Batch    156, Loss  0.854976, Average Loss  0.871112, Time  0.448683
2021-09-29 09:52:24.252893 : Epoch  9, Batch    157, Loss  0.859287, Average Loss  0.871031, Time  0.456629
2021-09-29 09:52:30.188276 : Epoch  9, Batch    158, Loss  0.866486, Average Loss  0.871053, Time  0.444839
2021-09-29 09:52:36.114880 : Epoch  9, Batch    159, Loss  0.877784, Average Loss  0.871059, Time  0.446802
2021-09-29 09:52:42.059018 : Epoch  9, Batch    160, Loss  0.855828, Average Loss  0.870978, Time  0.447253
2021-09-29 09:52:47.990283 : Epoch  9, Batch    161, Loss  0.875999, Average Loss  0.871036, Time  0.447078
2021-09-29 09:52:53.911675 : Epoch  9, Batch    162, Loss  0.880832, Average Loss  0.871083, Time  0.444919
2021-09-29 09:52:59.847963 : Epoch  9, Batch    163, Loss  0.873446, Average Loss  0.871061, Time  0.444763
2021-09-29 09:53:05.804506 : Epoch  9, Batch    164, Loss  0.862557, Average Loss  0.871021, Time  0.464063
2021-09-29 09:53:11.733360 : Epoch  9, Batch    165, Loss  0.871038, Average Loss  0.871087, Time  0.445471
2021-09-29 09:53:17.666890 : Epoch  9, Batch    166, Loss  0.867998, Average Loss  0.871007, Time  0.444719
2021-09-29 09:53:23.588871 : Epoch  9, Batch    167, Loss  0.848974, Average Loss  0.870877, Time  0.445298
2021-09-29 09:53:29.514828 : Epoch  9, Batch    168, Loss  0.854120, Average Loss  0.870791, Time  0.444353
2021-09-29 09:53:35.452179 : Epoch  9, Batch    169, Loss  0.859495, Average Loss  0.870749, Time  0.445688
2021-09-29 09:53:41.376565 : Epoch  9, Batch    170, Loss  0.871758, Average Loss  0.870767, Time  0.444345
2021-09-29 09:53:47.317253 : Epoch  9, Batch    171, Loss  0.878804, Average Loss  0.870839, Time  0.444082
2021-09-29 09:53:53.244549 : Epoch  9, Batch    172, Loss  0.847893, Average Loss  0.870777, Time  0.459691
2021-09-29 09:53:59.148763 : Epoch  9, Batch    173, Loss  0.882438, Average Loss  0.870779, Time  0.444880
2021-09-29 09:54:05.073413 : Epoch  9, Batch    174, Loss  0.872838, Average Loss  0.870852, Time  0.445792
2021-09-29 09:54:11.018182 : Epoch  9, Batch    175, Loss  0.868027, Average Loss  0.870853, Time  0.444451
2021-09-29 09:54:16.950113 : Epoch  9, Batch    176, Loss  0.862081, Average Loss  0.870769, Time  0.445536
2021-09-29 09:58:54.508614 : CheckPoint: Validation Loss  0.00015109, Best Loss  0.00014870
2021-09-29 09:59:00.436496 : Epoch  9, Batch    177, Loss  0.868812, Average Loss  0.870768, Time  0.444755
2021-09-29 09:59:06.372361 : Epoch  9, Batch    178, Loss  0.894767, Average Loss  0.870878, Time  0.445661
2021-09-29 09:59:12.302788 : Epoch  9, Batch    179, Loss  0.876691, Average Loss  0.870850, Time  0.446732
2021-09-29 09:59:18.245031 : Epoch  9, Batch    180, Loss  0.865189, Average Loss  0.870819, Time  0.453704
2021-09-29 09:59:24.168489 : Epoch  9, Batch    181, Loss  0.872073, Average Loss  0.870881, Time  0.444945
2021-09-29 09:59:30.090050 : Epoch  9, Batch    182, Loss  0.867374, Average Loss  0.870882, Time  0.445797
2021-09-29 09:59:36.002628 : Epoch  9, Batch    183, Loss  0.877627, Average Loss  0.870912, Time  0.445636
2021-09-29 09:59:41.924133 : Epoch  9, Batch    184, Loss  0.880310, Average Loss  0.870928, Time  0.446801
2021-09-29 09:59:47.855084 : Epoch  9, Batch    185, Loss  0.868894, Average Loss  0.870922, Time  0.448350
2021-09-29 09:59:53.791893 : Epoch  9, Batch    186, Loss  0.873421, Average Loss  0.870860, Time  0.446083
2021-09-29 09:59:59.730679 : Epoch  9, Batch    187, Loss  0.865729, Average Loss  0.870808, Time  0.446309
2021-09-29 10:00:05.658863 : Epoch  9, Batch    188, Loss  0.879345, Average Loss  0.870804, Time  0.457341
2021-09-29 10:00:11.583796 : Epoch  9, Batch    189, Loss  0.864557, Average Loss  0.870709, Time  0.447690
2021-09-29 10:00:17.519045 : Epoch  9, Batch    190, Loss  0.895026, Average Loss  0.870881, Time  0.445905
2021-09-29 10:00:23.436318 : Epoch  9, Batch    191, Loss  0.856170, Average Loss  0.870822, Time  0.444769
2021-09-29 10:00:29.368496 : Epoch  9, Batch    192, Loss  0.878968, Average Loss  0.870751, Time  0.447958
2021-09-29 10:00:35.281897 : Epoch  9, Batch    193, Loss  0.862528, Average Loss  0.870723, Time  0.444264
2021-09-29 10:00:41.209359 : Epoch  9, Batch    194, Loss  0.877724, Average Loss  0.870667, Time  0.444848
2021-09-29 10:00:47.134965 : Epoch  9, Batch    195, Loss  0.874919, Average Loss  0.870663, Time  0.444687
2021-09-29 10:00:53.093425 : Epoch  9, Batch    196, Loss  0.855087, Average Loss  0.870581, Time  0.462569
2021-09-29 10:00:59.021795 : Epoch  9, Batch    197, Loss  0.872572, Average Loss  0.870629, Time  0.444872
2021-09-29 10:01:04.943295 : Epoch  9, Batch    198, Loss  0.865663, Average Loss  0.870556, Time  0.444132
2021-09-29 10:01:10.873052 : Epoch  9, Batch    199, Loss  0.866149, Average Loss  0.870531, Time  0.446591
2021-09-29 10:01:16.796801 : Epoch  9, Batch    200, Loss  0.897031, Average Loss  0.870710, Time  0.444233
2021-09-29 10:01:22.714236 : Epoch  9, Batch    201, Loss  0.877787, Average Loss  0.870693, Time  0.444328
2021-09-29 10:01:28.625887 : Epoch  9, Batch    202, Loss  0.855291, Average Loss  0.870580, Time  0.444858
2021-09-29 10:01:34.547682 : Epoch  9, Batch    203, Loss  0.882851, Average Loss  0.870601, Time  0.444168
2021-09-29 10:01:40.471246 : Epoch  9, Batch    204, Loss  0.875273, Average Loss  0.870566, Time  0.453379
2021-09-29 10:01:46.389788 : Epoch  9, Batch    205, Loss  0.873457, Average Loss  0.870625, Time  0.450055
2021-09-29 10:01:52.318394 : Epoch  9, Batch    206, Loss  0.864999, Average Loss  0.870564, Time  0.445266
2021-09-29 10:01:58.231676 : Epoch  9, Batch    207, Loss  0.869805, Average Loss  0.870552, Time  0.445430
2021-09-29 10:02:04.174750 : Epoch  9, Batch    208, Loss  0.879859, Average Loss  0.870562, Time  0.446617
2021-09-29 10:02:10.095076 : Epoch  9, Batch    209, Loss  0.868510, Average Loss  0.870554, Time  0.445091
2021-09-29 10:02:16.028780 : Epoch  9, Batch    210, Loss  0.861041, Average Loss  0.870543, Time  0.444627
2021-09-29 10:02:21.957364 : Epoch  9, Batch    211, Loss  0.866940, Average Loss  0.870547, Time  0.445413
2021-09-29 10:02:27.908461 : Epoch  9, Batch    212, Loss  0.862623, Average Loss  0.870507, Time  0.457722
2021-09-29 10:02:33.826334 : Epoch  9, Batch    213, Loss  0.874306, Average Loss  0.870506, Time  0.446602
2021-09-29 10:02:39.748999 : Epoch  9, Batch    214, Loss  0.865630, Average Loss  0.870444, Time  0.445831
2021-09-29 10:02:45.679790 : Epoch  9, Batch    215, Loss  0.861894, Average Loss  0.870403, Time  0.445363
2021-09-29 10:02:51.609373 : Epoch  9, Batch    216, Loss  0.874639, Average Loss  0.870484, Time  0.450043
2021-09-29 10:02:57.521993 : Epoch  9, Batch    217, Loss  0.878175, Average Loss  0.870494, Time  0.448367
2021-09-29 10:03:03.434784 : Epoch  9, Batch    218, Loss  0.862191, Average Loss  0.870524, Time  0.445771
2021-09-29 10:03:09.367807 : Epoch  9, Batch    219, Loss  0.862169, Average Loss  0.870382, Time  0.444341
2021-09-29 10:03:15.296075 : Epoch  9, Batch    220, Loss  0.887681, Average Loss  0.870472, Time  0.460693
2021-09-29 10:03:21.225493 : Epoch  9, Batch    221, Loss  0.863517, Average Loss  0.870419, Time  0.446733
2021-09-29 10:03:27.146655 : Epoch  9, Batch    222, Loss  0.877544, Average Loss  0.870434, Time  0.445995
2021-09-29 10:03:33.058689 : Epoch  9, Batch    223, Loss  0.865820, Average Loss  0.870482, Time  0.445478
2021-09-29 10:03:38.975378 : Epoch  9, Batch    224, Loss  0.874194, Average Loss  0.870523, Time  0.445913
2021-09-29 10:03:44.889628 : Epoch  9, Batch    225, Loss  0.868993, Average Loss  0.870533, Time  0.445504
2021-09-29 10:03:50.807794 : Epoch  9, Batch    226, Loss  0.872424, Average Loss  0.870478, Time  0.445375
2021-09-29 10:03:56.723404 : Epoch  9, Batch    227, Loss  0.864591, Average Loss  0.870455, Time  0.444120
2021-09-29 10:04:02.632726 : Epoch  9, Batch    228, Loss  0.873472, Average Loss  0.870464, Time  0.458023
2021-09-29 10:04:08.548919 : Epoch  9, Batch    229, Loss  0.877811, Average Loss  0.870496, Time  0.445338
2021-09-29 10:04:14.457812 : Epoch  9, Batch    230, Loss  0.872169, Average Loss  0.870505, Time  0.444552
2021-09-29 10:04:20.370930 : Epoch  9, Batch    231, Loss  0.872200, Average Loss  0.870483, Time  0.445625
2021-09-29 10:04:26.290850 : Epoch  9, Batch    232, Loss  0.862293, Average Loss  0.870483, Time  0.447094
2021-09-29 10:04:32.219844 : Epoch  9, Batch    233, Loss  0.873171, Average Loss  0.870498, Time  0.447758
2021-09-29 10:04:38.127270 : Epoch  9, Batch    234, Loss  0.876424, Average Loss  0.870496, Time  0.446236
2021-09-29 10:04:44.047958 : Epoch  9, Batch    235, Loss  0.869529, Average Loss  0.870557, Time  0.444578
2021-09-29 10:04:49.983856 : Epoch  9, Batch    236, Loss  0.852697, Average Loss  0.870443, Time  0.457081
2021-09-29 10:04:55.908760 : Epoch  9, Batch    237, Loss  0.883184, Average Loss  0.870465, Time  0.446753
2021-09-29 10:05:01.817945 : Epoch  9, Batch    238, Loss  0.863645, Average Loss  0.870426, Time  0.445621
2021-09-29 10:05:07.731052 : Epoch  9, Batch    239, Loss  0.854129, Average Loss  0.870338, Time  0.444304
2021-09-29 10:05:13.633773 : Epoch  9, Batch    240, Loss  0.867010, Average Loss  0.870246, Time  0.444372
2021-09-29 10:05:19.565345 : Epoch  9, Batch    241, Loss  0.875774, Average Loss  0.870271, Time  0.448085
2021-09-29 10:05:25.462506 : Epoch  9, Batch    242, Loss  0.855533, Average Loss  0.870193, Time  0.445982
2021-09-29 10:05:31.388028 : Epoch  9, Batch    243, Loss  0.858373, Average Loss  0.870185, Time  0.448106
2021-09-29 10:05:37.303862 : Epoch  9, Batch    244, Loss  0.880551, Average Loss  0.870248, Time  0.454362
2021-09-29 10:05:43.230832 : Epoch  9, Batch    245, Loss  0.862779, Average Loss  0.870135, Time  0.445714
2021-09-29 10:05:49.153587 : Epoch  9, Batch    246, Loss  0.876806, Average Loss  0.870195, Time  0.445866
2021-09-29 10:05:55.076630 : Epoch  9, Batch    247, Loss  0.865411, Average Loss  0.870226, Time  0.445861
2021-09-29 10:06:01.008857 : Epoch  9, Batch    248, Loss  0.869861, Average Loss  0.870174, Time  0.445885
2021-09-29 10:06:06.927725 : Epoch  9, Batch    249, Loss  0.868578, Average Loss  0.870165, Time  0.446609
2021-09-29 10:06:12.854545 : Epoch  9, Batch    250, Loss  0.865739, Average Loss  0.870135, Time  0.444580
2021-09-29 10:06:18.782966 : Epoch  9, Batch    251, Loss  0.891221, Average Loss  0.870205, Time  0.445640
2021-09-29 10:06:24.712940 : Epoch  9, Batch    252, Loss  0.880240, Average Loss  0.870244, Time  0.456006
2021-09-29 10:06:30.619078 : Epoch  9, Batch    253, Loss  0.884894, Average Loss  0.870382, Time  0.445496
2021-09-29 10:06:36.547960 : Epoch  9, Batch    254, Loss  0.860797, Average Loss  0.870294, Time  0.445813
2021-09-29 10:06:42.471903 : Epoch  9, Batch    255, Loss  0.858112, Average Loss  0.870238, Time  0.446525
2021-09-29 10:06:48.410623 : Epoch  9, Batch    256, Loss  0.881635, Average Loss  0.870294, Time  0.446531
2021-09-29 10:06:54.325767 : Epoch  9, Batch    257, Loss  0.869276, Average Loss  0.870311, Time  0.444412
2021-09-29 10:07:00.244625 : Epoch  9, Batch    258, Loss  0.868406, Average Loss  0.870313, Time  0.444861
2021-09-29 10:07:06.180411 : Epoch  9, Batch    259, Loss  0.851492, Average Loss  0.870213, Time  0.445323
2021-09-29 10:07:12.116153 : Epoch  9, Batch    260, Loss  0.892662, Average Loss  0.870368, Time  0.460998
2021-09-29 10:07:18.056936 : Epoch  9, Batch    261, Loss  0.867285, Average Loss  0.870306, Time  0.450633
2021-09-29 10:07:24.024266 : Epoch  9, Batch    262, Loss  0.860045, Average Loss  0.870282, Time  0.444583
2021-09-29 10:07:29.956273 : Epoch  9, Batch    263, Loss  0.883228, Average Loss  0.870339, Time  0.444824
2021-09-29 10:07:35.886796 : Epoch  9, Batch    264, Loss  0.854817, Average Loss  0.870299, Time  0.446718
2021-09-29 10:07:41.821552 : Epoch  9, Batch    265, Loss  0.874162, Average Loss  0.870373, Time  0.445832
2021-09-29 10:07:47.747826 : Epoch  9, Batch    266, Loss  0.847862, Average Loss  0.870214, Time  0.444363
2021-09-29 10:07:53.668211 : Epoch  9, Batch    267, Loss  0.873807, Average Loss  0.870206, Time  0.446001
2021-09-29 10:07:59.615307 : Epoch  9, Batch    268, Loss  0.870862, Average Loss  0.870190, Time  0.457358
2021-09-29 10:08:05.557720 : Epoch  9, Batch    269, Loss  0.876946, Average Loss  0.870242, Time  0.444722
2021-09-29 10:08:11.507849 : Epoch  9, Batch    270, Loss  0.862700, Average Loss  0.870165, Time  0.446206
2021-09-29 10:08:17.451271 : Epoch  9, Batch    271, Loss  0.858258, Average Loss  0.870115, Time  0.444556
2021-09-29 10:08:23.391242 : Epoch  9, Batch    272, Loss  0.858916, Average Loss  0.870006, Time  0.445580
2021-09-29 10:08:29.317339 : Epoch  9, Batch    273, Loss  0.876246, Average Loss  0.870015, Time  0.446458
2021-09-29 10:08:35.251914 : Epoch  9, Batch    274, Loss  0.875400, Average Loss  0.870023, Time  0.444432
2021-09-29 10:08:41.191555 : Epoch  9, Batch    275, Loss  0.872301, Average Loss  0.870035, Time  0.444675
2021-09-29 10:08:47.129523 : Epoch  9, Batch    276, Loss  0.868805, Average Loss  0.870015, Time  0.454915
2021-09-29 10:13:24.085159 : CheckPoint: Validation Loss  0.00015179, Best Loss  0.00014870
2021-09-29 10:13:30.036931 : Epoch  9, Batch    277, Loss  0.858120, Average Loss  0.869927, Time  0.446484
2021-09-29 10:13:35.967222 : Epoch  9, Batch    278, Loss  0.861260, Average Loss  0.869939, Time  0.444046
2021-09-29 10:13:41.892946 : Epoch  9, Batch    279, Loss  0.866194, Average Loss  0.869999, Time  0.447387
2021-09-29 10:13:47.822908 : Epoch  9, Batch    280, Loss  0.882428, Average Loss  0.870019, Time  0.444343
2021-09-29 10:13:53.753241 : Epoch  9, Batch    281, Loss  0.863452, Average Loss  0.869966, Time  0.445456
2021-09-29 10:13:59.676770 : Epoch  9, Batch    282, Loss  0.855539, Average Loss  0.869910, Time  0.444947
2021-09-29 10:14:05.596663 : Epoch  9, Batch    283, Loss  0.867276, Average Loss  0.869965, Time  0.448403
2021-09-29 10:14:11.555823 : Epoch  9, Batch    284, Loss  0.882491, Average Loss  0.869987, Time  0.457627
2021-09-29 10:14:17.485305 : Epoch  9, Batch    285, Loss  0.871035, Average Loss  0.869985, Time  0.445467
2021-09-29 10:14:23.402325 : Epoch  9, Batch    286, Loss  0.859479, Average Loss  0.869952, Time  0.447677
2021-09-29 10:14:29.336516 : Epoch  9, Batch    287, Loss  0.880327, Average Loss  0.870008, Time  0.446073
2021-09-29 10:14:35.258808 : Epoch  9, Batch    288, Loss  0.860125, Average Loss  0.869914, Time  0.447008
2021-09-29 10:14:41.185637 : Epoch  9, Batch    289, Loss  0.861910, Average Loss  0.869777, Time  0.444443
2021-09-29 10:14:47.122810 : Epoch  9, Batch    290, Loss  0.860892, Average Loss  0.869743, Time  0.444948
2021-09-29 10:14:53.030244 : Epoch  9, Batch    291, Loss  0.868468, Average Loss  0.869709, Time  0.446221
2021-09-29 10:14:58.969770 : Epoch  9, Batch    292, Loss  0.871950, Average Loss  0.869672, Time  0.455201
2021-09-29 10:15:04.903139 : Epoch  9, Batch    293, Loss  0.868951, Average Loss  0.869694, Time  0.444609
2021-09-29 10:15:10.844742 : Epoch  9, Batch    294, Loss  0.861241, Average Loss  0.869598, Time  0.445680
2021-09-29 10:15:16.771232 : Epoch  9, Batch    295, Loss  0.859244, Average Loss  0.869567, Time  0.447172
2021-09-29 10:15:22.712424 : Epoch  9, Batch    296, Loss  0.867968, Average Loss  0.869544, Time  0.445520
2021-09-29 10:15:28.651842 : Epoch  9, Batch    297, Loss  0.877512, Average Loss  0.869640, Time  0.444457
2021-09-29 10:15:34.582865 : Epoch  9, Batch    298, Loss  0.853397, Average Loss  0.869568, Time  0.445604
2021-09-29 10:15:40.512780 : Epoch  9, Batch    299, Loss  0.855030, Average Loss  0.869492, Time  0.445375
2021-09-29 10:15:46.464332 : Epoch  9, Batch    300, Loss  0.881306, Average Loss  0.869509, Time  0.452005
2021-09-29 10:15:52.402168 : Epoch  9, Batch    301, Loss  0.873807, Average Loss  0.869446, Time  0.447313
2021-09-29 10:15:58.365929 : Epoch  9, Batch    302, Loss  0.864435, Average Loss  0.869405, Time  0.448229
2021-09-29 10:16:04.280739 : Epoch  9, Batch    303, Loss  0.855231, Average Loss  0.869344, Time  0.445974
2021-09-29 10:16:10.209059 : Epoch  9, Batch    304, Loss  0.877893, Average Loss  0.869425, Time  0.444856
2021-09-29 10:16:16.123394 : Epoch  9, Batch    305, Loss  0.867324, Average Loss  0.869393, Time  0.445184
2021-09-29 10:16:22.053272 : Epoch  9, Batch    306, Loss  0.866878, Average Loss  0.869404, Time  0.444733
2021-09-29 10:16:27.977845 : Epoch  9, Batch    307, Loss  0.883691, Average Loss  0.869421, Time  0.447286
2021-09-29 10:16:33.894300 : Epoch  9, Batch    308, Loss  0.860440, Average Loss  0.869326, Time  0.455048
2021-09-29 10:16:39.826322 : Epoch  9, Batch    309, Loss  0.888573, Average Loss  0.869438, Time  0.445055
2021-09-29 10:16:45.759345 : Epoch  9, Batch    310, Loss  0.865773, Average Loss  0.869486, Time  0.445902
2021-09-29 10:16:51.696807 : Epoch  9, Batch    311, Loss  0.875159, Average Loss  0.869436, Time  0.444655
2021-09-29 10:16:57.622567 : Epoch  9, Batch    312, Loss  0.879919, Average Loss  0.869485, Time  0.446479
2021-09-29 10:17:03.557993 : Epoch  9, Batch    313, Loss  0.873545, Average Loss  0.869473, Time  0.448330
2021-09-29 10:17:09.500907 : Epoch  9, Batch    314, Loss  0.867749, Average Loss  0.869435, Time  0.445865
2021-09-29 10:17:15.424624 : Epoch  9, Batch    315, Loss  0.855882, Average Loss  0.869371, Time  0.444751
2021-09-29 10:17:21.371286 : Epoch  9, Batch    316, Loss  0.868346, Average Loss  0.869256, Time  0.452704
2021-09-29 10:17:27.318644 : Epoch  9, Batch    317, Loss  0.853947, Average Loss  0.869097, Time  0.449491
2021-09-29 10:17:33.260021 : Epoch  9, Batch    318, Loss  0.854947, Average Loss  0.869067, Time  0.448264
2021-09-29 10:17:39.197313 : Epoch  9, Batch    319, Loss  0.866715, Average Loss  0.869072, Time  0.446253
2021-09-29 10:17:45.122745 : Epoch  9, Batch    320, Loss  0.873284, Average Loss  0.869131, Time  0.445590
2021-09-29 10:17:51.038510 : Epoch  9, Batch    321, Loss  0.861438, Average Loss  0.869069, Time  0.445950
2021-09-29 10:17:56.982401 : Epoch  9, Batch    322, Loss  0.864174, Average Loss  0.868964, Time  0.445106
2021-09-29 10:18:02.933314 : Epoch  9, Batch    323, Loss  0.876924, Average Loss  0.868935, Time  0.457042
2021-09-29 10:18:08.850066 : Epoch  9, Batch    324, Loss  0.870464, Average Loss  0.868936, Time  0.444988
2021-09-29 10:18:14.772977 : Epoch  9, Batch    325, Loss  0.868451, Average Loss  0.868879, Time  0.444784
2021-09-29 10:18:20.702635 : Epoch  9, Batch    326, Loss  0.872011, Average Loss  0.868809, Time  0.444270
2021-09-29 10:18:26.612871 : Epoch  9, Batch    327, Loss  0.873639, Average Loss  0.868715, Time  0.445914
2021-09-29 10:18:32.533219 : Epoch  9, Batch    328, Loss  0.863904, Average Loss  0.868669, Time  0.444895
2021-09-29 10:18:38.457295 : Epoch  9, Batch    329, Loss  0.871046, Average Loss  0.868702, Time  0.447046
2021-09-29 10:18:44.379850 : Epoch  9, Batch    330, Loss  0.877699, Average Loss  0.868730, Time  0.446194
2021-09-29 10:18:50.319010 : Epoch  9, Batch    331, Loss  0.881920, Average Loss  0.868789, Time  0.460793
2021-09-29 10:18:56.227841 : Epoch  9, Batch    332, Loss  0.883872, Average Loss  0.868943, Time  0.445601
2021-09-29 10:19:02.148370 : Epoch  9, Batch    333, Loss  0.875933, Average Loss  0.869018, Time  0.447715
2021-09-29 10:19:08.056195 : Epoch  9, Batch    334, Loss  0.875969, Average Loss  0.869029, Time  0.445096
2021-09-29 10:19:13.983755 : Epoch  9, Batch    335, Loss  0.869721, Average Loss  0.869101, Time  0.445430
2021-09-29 10:19:19.910707 : Epoch  9, Batch    336, Loss  0.860723, Average Loss  0.869049, Time  0.445612
2021-09-29 10:19:25.829378 : Epoch  9, Batch    337, Loss  0.874270, Average Loss  0.869065, Time  0.444309
2021-09-29 10:19:31.751344 : Epoch  9, Batch    338, Loss  0.871408, Average Loss  0.869103, Time  0.445833
2021-09-29 10:19:37.700805 : Epoch  9, Batch    339, Loss  0.883672, Average Loss  0.869202, Time  0.457561
2021-09-29 10:19:43.636427 : Epoch  9, Batch    340, Loss  0.878493, Average Loss  0.869244, Time  0.444762
2021-09-29 10:19:49.554965 : Epoch  9, Batch    341, Loss  0.870440, Average Loss  0.869312, Time  0.450382
2021-09-29 10:19:55.479259 : Epoch  9, Batch    342, Loss  0.868418, Average Loss  0.869265, Time  0.444412
2021-09-29 10:20:01.395959 : Epoch  9, Batch    343, Loss  0.878183, Average Loss  0.869324, Time  0.446657
2021-09-29 10:20:07.334558 : Epoch  9, Batch    344, Loss  0.859126, Average Loss  0.869308, Time  0.444755
2021-09-29 10:20:13.246775 : Epoch  9, Batch    345, Loss  0.876046, Average Loss  0.869352, Time  0.446169
2021-09-29 10:20:19.170867 : Epoch  9, Batch    346, Loss  0.875017, Average Loss  0.869412, Time  0.448877
2021-09-29 10:20:25.102776 : Epoch  9, Batch    347, Loss  0.866112, Average Loss  0.869412, Time  0.460371
2021-09-29 10:20:31.041968 : Epoch  9, Batch    348, Loss  0.863319, Average Loss  0.869457, Time  0.444330
2021-09-29 10:20:36.961932 : Epoch  9, Batch    349, Loss  0.873843, Average Loss  0.869489, Time  0.445179
2021-09-29 10:20:42.870496 : Epoch  9, Batch    350, Loss  0.863834, Average Loss  0.869444, Time  0.444283
2021-09-29 10:20:48.813527 : Epoch  9, Batch    351, Loss  0.858330, Average Loss  0.869441, Time  0.445772
2021-09-29 10:20:54.750239 : Epoch  9, Batch    352, Loss  0.876679, Average Loss  0.869481, Time  0.444710
2021-09-29 10:21:00.679434 : Epoch  9, Batch    353, Loss  0.878538, Average Loss  0.869518, Time  0.444971
2021-09-29 10:21:06.608979 : Epoch  9, Batch    354, Loss  0.864486, Average Loss  0.869570, Time  0.445642
2021-09-29 10:21:12.553344 : Epoch  9, Batch    355, Loss  0.872999, Average Loss  0.869546, Time  0.461467
2021-09-29 10:21:18.479953 : Epoch  9, Batch    356, Loss  0.878702, Average Loss  0.869665, Time  0.444818
2021-09-29 10:21:24.418629 : Epoch  9, Batch    357, Loss  0.876976, Average Loss  0.869753, Time  0.449105
2021-09-29 10:21:30.336746 : Epoch  9, Batch    358, Loss  0.867141, Average Loss  0.869757, Time  0.444546
2021-09-29 10:21:36.261613 : Epoch  9, Batch    359, Loss  0.871439, Average Loss  0.869725, Time  0.444859
2021-09-29 10:21:42.203730 : Epoch  9, Batch    360, Loss  0.853168, Average Loss  0.869712, Time  0.445704
2021-09-29 10:21:48.128749 : Epoch  9, Batch    361, Loss  0.871087, Average Loss  0.869687, Time  0.445650
2021-09-29 10:21:54.054599 : Epoch  9, Batch    362, Loss  0.873080, Average Loss  0.869648, Time  0.445310
2021-09-29 10:21:59.995838 : Epoch  9, Batch    363, Loss  0.882595, Average Loss  0.869694, Time  0.459107
2021-09-29 10:22:05.920178 : Epoch  9, Batch    364, Loss  0.849802, Average Loss  0.869630, Time  0.444535
2021-09-29 10:22:11.834327 : Epoch  9, Batch    365, Loss  0.862349, Average Loss  0.869587, Time  0.446357
2021-09-29 10:22:17.789922 : Epoch  9, Batch    366, Loss  0.866291, Average Loss  0.869578, Time  0.446723
2021-09-29 10:22:23.724982 : Epoch  9, Batch    367, Loss  0.850773, Average Loss  0.869587, Time  0.445104
2021-09-29 10:22:29.635156 : Epoch  9, Batch    368, Loss  0.871942, Average Loss  0.869676, Time  0.444586
2021-09-29 10:22:35.578788 : Epoch  9, Batch    369, Loss  0.853779, Average Loss  0.869648, Time  0.446154
2021-09-29 10:22:41.504654 : Epoch  9, Batch    370, Loss  0.878420, Average Loss  0.869681, Time  0.445218
2021-09-29 10:22:47.441767 : Epoch  9, Batch    371, Loss  0.864932, Average Loss  0.869612, Time  0.451471
2021-09-29 10:22:53.372968 : Epoch  9, Batch    372, Loss  0.873986, Average Loss  0.869742, Time  0.445569
2021-09-29 10:22:59.299574 : Epoch  9, Batch    373, Loss  0.862778, Average Loss  0.869644, Time  0.450471
2021-09-29 10:23:05.230623 : Epoch  9, Batch    374, Loss  0.866156, Average Loss  0.869610, Time  0.445758
2021-09-29 10:23:11.153602 : Epoch  9, Batch    375, Loss  0.859444, Average Loss  0.869568, Time  0.444480
2021-09-29 10:23:17.082762 : Epoch  9, Batch    376, Loss  0.882440, Average Loss  0.869669, Time  0.444581
2021-09-29 10:27:54.985744 : CheckPoint: Validation Loss  0.00015348, Best Loss  0.00014870
2021-09-29 10:28:00.906719 : Epoch  9, Batch    377, Loss  0.875689, Average Loss  0.869704, Time  0.445225
2021-09-29 10:28:06.831348 : Epoch  9, Batch    378, Loss  0.874361, Average Loss  0.869602, Time  0.451743
2021-09-29 10:28:12.748808 : Epoch  9, Batch    379, Loss  0.872244, Average Loss  0.869579, Time  0.444792
2021-09-29 10:28:18.672865 : Epoch  9, Batch    380, Loss  0.866541, Average Loss  0.869586, Time  0.444826
2021-09-29 10:28:24.599794 : Epoch  9, Batch    381, Loss  0.870799, Average Loss  0.869580, Time  0.449313
2021-09-29 10:28:30.518182 : Epoch  9, Batch    382, Loss  0.877019, Average Loss  0.869628, Time  0.446318
2021-09-29 10:28:36.443892 : Epoch  9, Batch    383, Loss  0.878284, Average Loss  0.869631, Time  0.445587
2021-09-29 10:28:42.366471 : Epoch  9, Batch    384, Loss  0.885545, Average Loss  0.869658, Time  0.444625
2021-09-29 10:28:48.290764 : Epoch  9, Batch    385, Loss  0.871736, Average Loss  0.869672, Time  0.445273
2021-09-29 10:28:54.230131 : Epoch  9, Batch    386, Loss  0.868556, Average Loss  0.869647, Time  0.457120
2021-09-29 10:29:00.149564 : Epoch  9, Batch    387, Loss  0.865084, Average Loss  0.869644, Time  0.445675
2021-09-29 10:29:06.073033 : Epoch  9, Batch    388, Loss  0.870500, Average Loss  0.869600, Time  0.447631
2021-09-29 10:29:12.021349 : Epoch  9, Batch    389, Loss  0.871195, Average Loss  0.869633, Time  0.444459
2021-09-29 10:29:17.951762 : Epoch  9, Batch    390, Loss  0.870392, Average Loss  0.869510, Time  0.447144
2021-09-29 10:29:23.874329 : Epoch  9, Batch    391, Loss  0.876951, Average Loss  0.869614, Time  0.444781
2021-09-29 10:29:29.813524 : Epoch  9, Batch    392, Loss  0.873577, Average Loss  0.869587, Time  0.446131
2021-09-29 10:29:35.731138 : Epoch  9, Batch    393, Loss  0.876653, Average Loss  0.869658, Time  0.447098
2021-09-29 10:29:41.681590 : Epoch  9, Batch    394, Loss  0.876876, Average Loss  0.869653, Time  0.457918
2021-09-29 10:29:47.612765 : Epoch  9, Batch    395, Loss  0.861664, Average Loss  0.869587, Time  0.446719
2021-09-29 10:29:53.543314 : Epoch  9, Batch    396, Loss  0.867301, Average Loss  0.869648, Time  0.445135
2021-09-29 10:29:59.470883 : Epoch  9, Batch    397, Loss  0.858545, Average Loss  0.869578, Time  0.447826
2021-09-29 10:30:05.394363 : Epoch  9, Batch    398, Loss  0.852869, Average Loss  0.869514, Time  0.444104
2021-09-29 10:30:11.328733 : Epoch  9, Batch    399, Loss  0.866480, Average Loss  0.869516, Time  0.445128
2021-09-29 10:30:17.254283 : Epoch  9, Batch    400, Loss  0.882234, Average Loss  0.869442, Time  0.445668
2021-09-29 10:30:23.186973 : Epoch  9, Batch    401, Loss  0.868488, Average Loss  0.869395, Time  0.444855
2021-09-29 10:30:29.139596 : Epoch  9, Batch    402, Loss  0.866852, Average Loss  0.869453, Time  0.460534
2021-09-29 10:30:35.075837 : Epoch  9, Batch    403, Loss  0.873859, Average Loss  0.869408, Time  0.444656
2021-09-29 10:30:41.005866 : Epoch  9, Batch    404, Loss  0.860940, Average Loss  0.869336, Time  0.447156
2021-09-29 10:30:46.949622 : Epoch  9, Batch    405, Loss  0.858148, Average Loss  0.869260, Time  0.444564
2021-09-29 10:30:52.872528 : Epoch  9, Batch    406, Loss  0.876586, Average Loss  0.869318, Time  0.445688
2021-09-29 10:30:58.797832 : Epoch  9, Batch    407, Loss  0.859054, Average Loss  0.869264, Time  0.445848
2021-09-29 10:31:04.711870 : Epoch  9, Batch    408, Loss  0.858305, Average Loss  0.869156, Time  0.444617
2021-09-29 10:31:10.635864 : Epoch  9, Batch    409, Loss  0.872904, Average Loss  0.869178, Time  0.443919
2021-09-29 10:31:16.582622 : Epoch  9, Batch    410, Loss  0.864935, Average Loss  0.869198, Time  0.462067
2021-09-29 10:31:22.509677 : Epoch  9, Batch    411, Loss  0.868030, Average Loss  0.869203, Time  0.446437
2021-09-29 10:31:28.439131 : Epoch  9, Batch    412, Loss  0.868355, Average Loss  0.869232, Time  0.444492
2021-09-29 10:31:34.377972 : Epoch  9, Batch    413, Loss  0.880813, Average Loss  0.869264, Time  0.449934
2021-09-29 10:31:40.297651 : Epoch  9, Batch    414, Loss  0.876844, Average Loss  0.869320, Time  0.445058
2021-09-29 10:31:46.230181 : Epoch  9, Batch    415, Loss  0.870333, Average Loss  0.869363, Time  0.449988
2021-09-29 10:31:52.172801 : Epoch  9, Batch    416, Loss  0.865765, Average Loss  0.869318, Time  0.446529
2021-09-29 10:31:58.098851 : Epoch  9, Batch    417, Loss  0.862591, Average Loss  0.869240, Time  0.444010
2021-09-29 10:32:04.058869 : Epoch  9, Batch    418, Loss  0.853605, Average Loss  0.869197, Time  0.458622
2021-09-29 10:32:09.986778 : Epoch  9, Batch    419, Loss  0.876933, Average Loss  0.869271, Time  0.445107
2021-09-29 10:32:15.935877 : Epoch  9, Batch    420, Loss  0.872344, Average Loss  0.869194, Time  0.444591
2021-09-29 10:32:21.861747 : Epoch  9, Batch    421, Loss  0.879828, Average Loss  0.869276, Time  0.444578
2021-09-29 10:32:27.805636 : Epoch  9, Batch    422, Loss  0.869356, Average Loss  0.869235, Time  0.445113
2021-09-29 10:32:33.731156 : Epoch  9, Batch    423, Loss  0.860475, Average Loss  0.869208, Time  0.446657
2021-09-29 10:32:39.656956 : Epoch  9, Batch    424, Loss  0.864588, Average Loss  0.869160, Time  0.447566
2021-09-29 10:32:45.586811 : Epoch  9, Batch    425, Loss  0.882426, Average Loss  0.869228, Time  0.444622
2021-09-29 10:32:51.522728 : Epoch  9, Batch    426, Loss  0.870278, Average Loss  0.869217, Time  0.459211
2021-09-29 10:32:57.443845 : Epoch  9, Batch    427, Loss  0.870178, Average Loss  0.869245, Time  0.444297
2021-09-29 10:33:03.363933 : Epoch  9, Batch    428, Loss  0.871192, Average Loss  0.869233, Time  0.445614
2021-09-29 10:33:09.294847 : Epoch  9, Batch    429, Loss  0.879058, Average Loss  0.869240, Time  0.448329
2021-09-29 10:33:15.219684 : Epoch  9, Batch    430, Loss  0.865566, Average Loss  0.869207, Time  0.446063
2021-09-29 10:33:21.142792 : Epoch  9, Batch    431, Loss  0.851193, Average Loss  0.869101, Time  0.445281
2021-09-29 10:33:27.063305 : Epoch  9, Batch    432, Loss  0.869763, Average Loss  0.869139, Time  0.445464
2021-09-29 10:33:33.005206 : Epoch  9, Batch    433, Loss  0.887961, Average Loss  0.869213, Time  0.457113
2021-09-29 10:33:38.945859 : Epoch  9, Batch    434, Loss  0.857097, Average Loss  0.869116, Time  0.448123
2021-09-29 10:33:44.870792 : Epoch  9, Batch    435, Loss  0.862424, Average Loss  0.869081, Time  0.445238
2021-09-29 10:33:50.798448 : Epoch  9, Batch    436, Loss  0.872547, Average Loss  0.869180, Time  0.444483
2021-09-29 10:33:56.733190 : Epoch  9, Batch    437, Loss  0.867983, Average Loss  0.869104, Time  0.450158
2021-09-29 10:34:02.646929 : Epoch  9, Batch    438, Loss  0.887254, Average Loss  0.869222, Time  0.445807
2021-09-29 10:34:08.586796 : Epoch  9, Batch    439, Loss  0.870174, Average Loss  0.869302, Time  0.447639
2021-09-29 10:34:14.512235 : Epoch  9, Batch    440, Loss  0.857395, Average Loss  0.869254, Time  0.447227
2021-09-29 10:34:20.447409 : Epoch  9, Batch    441, Loss  0.877543, Average Loss  0.869263, Time  0.458472
2021-09-29 10:34:26.388545 : Epoch  9, Batch    442, Loss  0.873447, Average Loss  0.869352, Time  0.445647
2021-09-29 10:34:32.318828 : Epoch  9, Batch    443, Loss  0.880671, Average Loss  0.869464, Time  0.446737
2021-09-29 10:34:38.250568 : Epoch  9, Batch    444, Loss  0.867862, Average Loss  0.869401, Time  0.445640
2021-09-29 10:34:44.158072 : Epoch  9, Batch    445, Loss  0.874798, Average Loss  0.869461, Time  0.444283
2021-09-29 10:34:50.080685 : Epoch  9, Batch    446, Loss  0.880164, Average Loss  0.869477, Time  0.444426
2021-09-29 10:34:56.011033 : Epoch  9, Batch    447, Loss  0.863297, Average Loss  0.869467, Time  0.446064
2021-09-29 10:35:01.958518 : Epoch  9, Batch    448, Loss  0.874608, Average Loss  0.869491, Time  0.448901
2021-09-29 10:35:07.904058 : Epoch  9, Batch    449, Loss  0.870798, Average Loss  0.869502, Time  0.456425
2021-09-29 10:35:13.828122 : Epoch  9, Batch    450, Loss  0.855470, Average Loss  0.869450, Time  0.444241
2021-09-29 10:35:19.740870 : Epoch  9, Batch    451, Loss  0.849181, Average Loss  0.869240, Time  0.444557
2021-09-29 10:35:25.654792 : Epoch  9, Batch    452, Loss  0.865211, Average Loss  0.869165, Time  0.446373
2021-09-29 10:35:31.583565 : Epoch  9, Batch    453, Loss  0.874512, Average Loss  0.869113, Time  0.446892
2021-09-29 10:35:37.498862 : Epoch  9, Batch    454, Loss  0.874791, Average Loss  0.869183, Time  0.446859
2021-09-29 10:35:43.419768 : Epoch  9, Batch    455, Loss  0.869729, Average Loss  0.869241, Time  0.445504
2021-09-29 10:35:49.345336 : Epoch  9, Batch    456, Loss  0.876998, Average Loss  0.869218, Time  0.446251
2021-09-29 10:35:55.266799 : Epoch  9, Batch    457, Loss  0.864145, Average Loss  0.869192, Time  0.451419
2021-09-29 10:36:01.194458 : Epoch  9, Batch    458, Loss  0.870622, Average Loss  0.869203, Time  0.447577
2021-09-29 10:36:07.117772 : Epoch  9, Batch    459, Loss  0.871816, Average Loss  0.869305, Time  0.448462
2021-09-29 10:36:13.039809 : Epoch  9, Batch    460, Loss  0.883305, Average Loss  0.869258, Time  0.444758
2021-09-29 10:36:18.961796 : Epoch  9, Batch    461, Loss  0.863938, Average Loss  0.869241, Time  0.444947
2021-09-29 10:36:24.888736 : Epoch  9, Batch    462, Loss  0.868901, Average Loss  0.869286, Time  0.444147
2021-09-29 10:36:30.812235 : Epoch  9, Batch    463, Loss  0.859711, Average Loss  0.869168, Time  0.444498
2021-09-29 10:36:36.755150 : Epoch  9, Batch    464, Loss  0.870570, Average Loss  0.869247, Time  0.446799
2021-09-29 10:36:42.700788 : Epoch  9, Batch    465, Loss  0.878894, Average Loss  0.869271, Time  0.455196
2021-09-29 10:36:48.619700 : Epoch  9, Batch    466, Loss  0.865613, Average Loss  0.869359, Time  0.445936
2021-09-29 10:36:54.558214 : Epoch  9, Batch    467, Loss  0.862383, Average Loss  0.869302, Time  0.444509
2021-09-29 10:37:00.485282 : Epoch  9, Batch    468, Loss  0.866217, Average Loss  0.869279, Time  0.445757
2021-09-29 10:37:06.403729 : Epoch  9, Batch    469, Loss  0.861427, Average Loss  0.869201, Time  0.446867
2021-09-29 10:37:12.320683 : Epoch  9, Batch    470, Loss  0.871990, Average Loss  0.869248, Time  0.445712
2021-09-29 10:37:18.245853 : Epoch  9, Batch    471, Loss  0.861102, Average Loss  0.869262, Time  0.445916
2021-09-29 10:37:24.175871 : Epoch  9, Batch    472, Loss  0.867356, Average Loss  0.869304, Time  0.444250
2021-09-29 10:37:30.114883 : Epoch  9, Batch    473, Loss  0.876393, Average Loss  0.869305, Time  0.457117
2021-09-29 10:37:36.047747 : Epoch  9, Batch    474, Loss  0.859768, Average Loss  0.869227, Time  0.448004
2021-09-29 10:37:41.963511 : Epoch  9, Batch    475, Loss  0.865170, Average Loss  0.869191, Time  0.445162
2021-09-29 10:37:47.891804 : Epoch  9, Batch    476, Loss  0.871638, Average Loss  0.869205, Time  0.444462
2021-09-29 10:42:25.714784 : CheckPoint: Validation Loss  0.00015068, Best Loss  0.00014870
2021-09-29 10:42:31.644668 : Epoch  9, Batch    477, Loss  0.877054, Average Loss  0.869300, Time  0.445654
2021-09-29 10:42:37.573437 : Epoch  9, Batch    478, Loss  0.867225, Average Loss  0.869330, Time  0.444393
2021-09-29 10:42:43.502008 : Epoch  9, Batch    479, Loss  0.851031, Average Loss  0.869254, Time  0.446652
2021-09-29 10:42:49.452417 : Epoch  9, Batch    480, Loss  0.862222, Average Loss  0.869153, Time  0.461449
2021-09-29 10:42:55.363823 : Epoch  9, Batch    481, Loss  0.876390, Average Loss  0.869218, Time  0.445468
2021-09-29 10:43:01.298477 : Epoch  9, Batch    482, Loss  0.867365, Average Loss  0.869277, Time  0.444626
2021-09-29 10:43:07.231056 : Epoch  9, Batch    483, Loss  0.867561, Average Loss  0.869278, Time  0.444438
2021-09-29 10:43:13.173460 : Epoch  9, Batch    484, Loss  0.862234, Average Loss  0.869177, Time  0.446378
2021-09-29 10:43:19.111333 : Epoch  9, Batch    485, Loss  0.867328, Average Loss  0.869158, Time  0.446167
2021-09-29 10:43:25.039512 : Epoch  9, Batch    486, Loss  0.874576, Average Loss  0.869234, Time  0.444458
2021-09-29 10:43:30.982130 : Epoch  9, Batch    487, Loss  0.866225, Average Loss  0.869163, Time  0.445874
2021-09-29 10:43:36.918505 : Epoch  9, Batch    488, Loss  0.849420, Average Loss  0.869110, Time  0.460949
2021-09-29 10:43:42.846669 : Epoch  9, Batch    489, Loss  0.885222, Average Loss  0.869226, Time  0.444361
2021-09-29 10:43:48.786003 : Epoch  9, Batch    490, Loss  0.870931, Average Loss  0.869277, Time  0.447099
2021-09-29 10:43:54.707032 : Epoch  9, Batch    491, Loss  0.860812, Average Loss  0.869238, Time  0.445380
2021-09-29 10:44:00.634784 : Epoch  9, Batch    492, Loss  0.873600, Average Loss  0.869247, Time  0.445143
2021-09-29 10:44:06.574837 : Epoch  9, Batch    493, Loss  0.871993, Average Loss  0.869262, Time  0.446615
2021-09-29 10:44:12.510617 : Epoch  9, Batch    494, Loss  0.870601, Average Loss  0.869309, Time  0.445004
2021-09-29 10:44:18.423335 : Epoch  9, Batch    495, Loss  0.853351, Average Loss  0.869279, Time  0.446100
2021-09-29 10:44:24.371610 : Epoch  9, Batch    496, Loss  0.847456, Average Loss  0.869177, Time  0.460718
2021-09-29 10:44:30.289842 : Epoch  9, Batch    497, Loss  0.861817, Average Loss  0.869098, Time  0.445908
2021-09-29 10:44:36.231954 : Epoch  9, Batch    498, Loss  0.900732, Average Loss  0.869335, Time  0.446134
2021-09-29 10:44:42.169933 : Epoch  9, Batch    499, Loss  0.867978, Average Loss  0.869400, Time  0.447689
2021-09-29 10:44:48.101124 : Epoch  9, Batch    500, Loss  0.870236, Average Loss  0.869344, Time  0.446157
2021-09-29 10:44:54.033942 : Epoch  9, Batch    501, Loss  0.862129, Average Loss  0.869286, Time  0.444859
2021-09-29 10:44:59.963937 : Epoch  9, Batch    502, Loss  0.870266, Average Loss  0.869315, Time  0.445317
2021-09-29 10:45:05.892076 : Epoch  9, Batch    503, Loss  0.874909, Average Loss  0.869413, Time  0.456492
2021-09-29 10:45:11.821453 : Epoch  9, Batch    504, Loss  0.863713, Average Loss  0.869342, Time  0.445695
2021-09-29 10:45:17.764794 : Epoch  9, Batch    505, Loss  0.867637, Average Loss  0.869344, Time  0.445051
2021-09-29 10:45:23.709113 : Epoch  9, Batch    506, Loss  0.869569, Average Loss  0.869357, Time  0.445177
2021-09-29 10:45:29.668779 : Epoch  9, Batch    507, Loss  0.861291, Average Loss  0.869245, Time  0.444334
2021-09-29 10:45:35.602808 : Epoch  9, Batch    508, Loss  0.880208, Average Loss  0.869344, Time  0.445557
2021-09-29 10:45:41.544810 : Epoch  9, Batch    509, Loss  0.855538, Average Loss  0.869179, Time  0.444470
2021-09-29 10:45:47.473191 : Epoch  9, Batch    510, Loss  0.866518, Average Loss  0.869183, Time  0.446661
2021-09-29 10:45:53.398457 : Epoch  9, Batch    511, Loss  0.866471, Average Loss  0.869139, Time  0.453979
2021-09-29 10:45:59.335170 : Epoch  9, Batch    512, Loss  0.863429, Average Loss  0.869057, Time  0.444380
2021-09-29 10:46:05.241646 : Epoch  9, Batch    513, Loss  0.886117, Average Loss  0.869120, Time  0.444991
2021-09-29 10:46:11.170412 : Epoch  9, Batch    514, Loss  0.860503, Average Loss  0.869084, Time  0.445407
2021-09-29 10:46:17.070470 : Epoch  9, Batch    515, Loss  0.875861, Average Loss  0.869183, Time  0.445230
2021-09-29 10:46:23.000957 : Epoch  9, Batch    516, Loss  0.884925, Average Loss  0.869266, Time  0.445368
2021-09-29 10:46:28.926593 : Epoch  9, Batch    517, Loss  0.868885, Average Loss  0.869341, Time  0.445632
2021-09-29 10:46:34.858639 : Epoch  9, Batch    518, Loss  0.877250, Average Loss  0.869453, Time  0.444438
2021-09-29 10:46:40.796420 : Epoch  9, Batch    519, Loss  0.872382, Average Loss  0.869481, Time  0.457824
2021-09-29 10:46:46.729270 : Epoch  9, Batch    520, Loss  0.877701, Average Loss  0.869503, Time  0.445083
2021-09-29 10:46:52.637504 : Epoch  9, Batch    521, Loss  0.860519, Average Loss  0.869498, Time  0.444108
2021-09-29 10:46:58.558221 : Epoch  9, Batch    522, Loss  0.856636, Average Loss  0.869461, Time  0.445389
2021-09-29 10:47:04.476508 : Epoch  9, Batch    523, Loss  0.883439, Average Loss  0.869493, Time  0.444198
2021-09-29 10:47:10.391608 : Epoch  9, Batch    524, Loss  0.874646, Average Loss  0.869514, Time  0.444393
2021-09-29 10:47:16.334654 : Epoch  9, Batch    525, Loss  0.872401, Average Loss  0.869534, Time  0.447481
2021-09-29 10:47:22.260570 : Epoch  9, Batch    526, Loss  0.864348, Average Loss  0.869496, Time  0.447067
2021-09-29 10:47:28.207660 : Epoch  9, Batch    527, Loss  0.863855, Average Loss  0.869447, Time  0.459766
2021-09-29 10:47:34.140483 : Epoch  9, Batch    528, Loss  0.856331, Average Loss  0.869409, Time  0.448571
2021-09-29 10:47:40.073623 : Epoch  9, Batch    529, Loss  0.868536, Average Loss  0.869396, Time  0.446421
2021-09-29 10:47:45.999248 : Epoch  9, Batch    530, Loss  0.868024, Average Loss  0.869348, Time  0.444539
2021-09-29 10:47:51.922804 : Epoch  9, Batch    531, Loss  0.863012, Average Loss  0.869253, Time  0.444111
2021-09-29 10:47:57.874905 : Epoch  9, Batch    532, Loss  0.875977, Average Loss  0.869214, Time  0.445212
2021-09-29 10:48:03.785759 : Epoch  9, Batch    533, Loss  0.878557, Average Loss  0.869227, Time  0.443986
2021-09-29 10:48:09.714272 : Epoch  9, Batch    534, Loss  0.879820, Average Loss  0.869246, Time  0.446555
2021-09-29 10:48:15.665081 : Epoch  9, Batch    535, Loss  0.866877, Average Loss  0.869232, Time  0.460350
2021-09-29 10:48:21.608611 : Epoch  9, Batch    536, Loss  0.861668, Average Loss  0.869237, Time  0.444828
2021-09-29 10:48:27.543796 : Epoch  9, Batch    537, Loss  0.868508, Average Loss  0.869208, Time  0.447007
2021-09-29 10:48:33.461026 : Epoch  9, Batch    538, Loss  0.869690, Average Loss  0.869199, Time  0.444653
2021-09-29 10:48:39.411694 : Epoch  9, Batch    539, Loss  0.867466, Average Loss  0.869118, Time  0.444268
2021-09-29 10:48:45.341922 : Epoch  9, Batch    540, Loss  0.866198, Average Loss  0.869057, Time  0.446713
2021-09-29 10:48:51.244364 : Epoch  9, Batch    541, Loss  0.869831, Average Loss  0.869054, Time  0.444941
2021-09-29 10:48:57.169258 : Epoch  9, Batch    542, Loss  0.876643, Average Loss  0.869095, Time  0.444745
2021-09-29 10:49:03.107780 : Epoch  9, Batch    543, Loss  0.872840, Average Loss  0.869068, Time  0.461922
2021-09-29 10:49:09.040332 : Epoch  9, Batch    544, Loss  0.855386, Average Loss  0.869050, Time  0.445916
2021-09-29 10:49:14.973321 : Epoch  9, Batch    545, Loss  0.865428, Average Loss  0.868996, Time  0.444895
2021-09-29 10:49:20.914488 : Epoch  9, Batch    546, Loss  0.878271, Average Loss  0.869013, Time  0.447439
2021-09-29 10:49:26.840526 : Epoch  9, Batch    547, Loss  0.858035, Average Loss  0.868972, Time  0.444596
2021-09-29 10:49:32.783305 : Epoch  9, Batch    548, Loss  0.855276, Average Loss  0.868932, Time  0.446439
2021-09-29 10:49:38.716999 : Epoch  9, Batch    549, Loss  0.862910, Average Loss  0.868877, Time  0.445322
2021-09-29 10:49:44.654918 : Epoch  9, Batch    550, Loss  0.867087, Average Loss  0.868894, Time  0.445537
2021-09-29 10:49:50.615259 : Epoch  9, Batch    551, Loss  0.866359, Average Loss  0.868934, Time  0.459480
2021-09-29 10:49:56.534632 : Epoch  9, Batch    552, Loss  0.866644, Average Loss  0.868884, Time  0.445108
2021-09-29 10:50:02.449737 : Epoch  9, Batch    553, Loss  0.865631, Average Loss  0.868819, Time  0.444765
2021-09-29 10:50:08.401561 : Epoch  9, Batch    554, Loss  0.867333, Average Loss  0.868833, Time  0.448377
2021-09-29 10:50:14.316177 : Epoch  9, Batch    555, Loss  0.864917, Average Loss  0.868793, Time  0.446460
2021-09-29 10:50:20.236436 : Epoch  9, Batch    556, Loss  0.875994, Average Loss  0.868779, Time  0.445910
2021-09-29 10:50:26.150720 : Epoch  9, Batch    557, Loss  0.864123, Average Loss  0.868715, Time  0.452007
2021-09-29 10:50:32.074730 : Epoch  9, Batch    558, Loss  0.871513, Average Loss  0.868737, Time  0.444132
2021-09-29 10:50:37.997020 : Epoch  9, Batch    559, Loss  0.847927, Average Loss  0.868619, Time  0.452527
2021-09-29 10:50:43.950300 : Epoch  9, Batch    560, Loss  0.858979, Average Loss  0.868649, Time  0.447567
2021-09-29 10:50:49.884548 : Epoch  9, Batch    561, Loss  0.861404, Average Loss  0.868600, Time  0.445939
2021-09-29 10:50:55.812176 : Epoch  9, Batch    562, Loss  0.876248, Average Loss  0.868616, Time  0.444472
2021-09-29 10:51:01.752474 : Epoch  9, Batch    563, Loss  0.872995, Average Loss  0.868568, Time  0.449451
2021-09-29 10:51:07.703223 : Epoch  9, Batch    564, Loss  0.868842, Average Loss  0.868663, Time  0.445222
2021-09-29 10:51:13.648991 : Epoch  9, Batch    565, Loss  0.857361, Average Loss  0.868638, Time  0.448258
2021-09-29 10:51:19.576023 : Epoch  9, Batch    566, Loss  0.875588, Average Loss  0.868685, Time  0.445499
2021-09-29 10:51:25.525168 : Epoch  9, Batch    567, Loss  0.872949, Average Loss  0.868796, Time  0.462445
2021-09-29 10:51:31.459096 : Epoch  9, Batch    568, Loss  0.871921, Average Loss  0.868795, Time  0.444453
2021-09-29 10:51:37.395822 : Epoch  9, Batch    569, Loss  0.885502, Average Loss  0.868954, Time  0.446137
2021-09-29 10:51:43.348751 : Epoch  9, Batch    570, Loss  0.862840, Average Loss  0.868876, Time  0.445270
2021-09-29 10:51:49.263436 : Epoch  9, Batch    571, Loss  0.874997, Average Loss  0.868927, Time  0.447446
2021-09-29 10:51:55.186654 : Epoch  9, Batch    572, Loss  0.878871, Average Loss  0.868951, Time  0.445972
2021-09-29 10:52:01.114354 : Epoch  9, Batch    573, Loss  0.865237, Average Loss  0.868963, Time  0.445476
2021-09-29 10:52:07.065905 : Epoch  9, Batch    574, Loss  0.860102, Average Loss  0.868933, Time  0.456486
2021-09-29 10:52:13.016468 : Epoch  9, Batch    575, Loss  0.877057, Average Loss  0.869021, Time  0.445251
2021-09-29 10:52:24.495096 : Epoch  9, Batch    576, Loss  0.866847, Average Loss  0.868943, Time  0.445000
2021-09-29 10:57:01.309870 : CheckPoint: Validation Loss  0.00015052, Best Loss  0.00014870
2021-09-29 10:57:07.238461 : Epoch  9, Batch    577, Loss  0.861237, Average Loss  0.868871, Time  0.445743
2021-09-29 10:57:13.172130 : Epoch  9, Batch    578, Loss  0.859804, Average Loss  0.868798, Time  0.445377
2021-09-29 10:57:19.111188 : Epoch  9, Batch    579, Loss  0.872731, Average Loss  0.868800, Time  0.446517
2021-09-29 10:57:25.034291 : Epoch  9, Batch    580, Loss  0.857906, Average Loss  0.868757, Time  0.444684
2021-09-29 10:57:30.982875 : Epoch  9, Batch    581, Loss  0.869399, Average Loss  0.868750, Time  0.461256
2021-09-29 10:57:36.924441 : Epoch  9, Batch    582, Loss  0.880087, Average Loss  0.868766, Time  0.449053
2021-09-29 10:57:42.849541 : Epoch  9, Batch    583, Loss  0.872925, Average Loss  0.868739, Time  0.445101
2021-09-29 10:57:48.777335 : Epoch  9, Batch    584, Loss  0.865123, Average Loss  0.868637, Time  0.447544
2021-09-29 10:57:54.705750 : Epoch  9, Batch    585, Loss  0.866642, Average Loss  0.868611, Time  0.445896
2021-09-29 10:58:00.627757 : Epoch  9, Batch    586, Loss  0.878421, Average Loss  0.868661, Time  0.444396
2021-09-29 10:58:06.568462 : Epoch  9, Batch    587, Loss  0.867113, Average Loss  0.868671, Time  0.444159
2021-09-29 10:58:12.502792 : Epoch  9, Batch    588, Loss  0.871419, Average Loss  0.868675, Time  0.444436
2021-09-29 10:58:18.452364 : Epoch  9, Batch    589, Loss  0.877549, Average Loss  0.868707, Time  0.461106
2021-09-29 10:58:24.373590 : Epoch  9, Batch    590, Loss  0.863493, Average Loss  0.868673, Time  0.445423
2021-09-29 10:58:30.286319 : Epoch  9, Batch    591, Loss  0.869433, Average Loss  0.868635, Time  0.446619
2021-09-29 10:58:36.219269 : Epoch  9, Batch    592, Loss  0.861897, Average Loss  0.868577, Time  0.445925
2021-09-29 10:58:42.151189 : Epoch  9, Batch    593, Loss  0.878038, Average Loss  0.868584, Time  0.445245
2021-09-29 10:58:48.072792 : Epoch  9, Batch    594, Loss  0.881338, Average Loss  0.868606, Time  0.444979
2021-09-29 10:58:53.986400 : Epoch  9, Batch    595, Loss  0.868599, Average Loss  0.868641, Time  0.445053
2021-09-29 10:58:59.935798 : Epoch  9, Batch    596, Loss  0.872025, Average Loss  0.868664, Time  0.461817
2021-09-29 10:59:05.864761 : Epoch  9, Batch    597, Loss  0.859378, Average Loss  0.868668, Time  0.445719
2021-09-29 10:59:11.799742 : Epoch  9, Batch    598, Loss  0.876038, Average Loss  0.868784, Time  0.445096
2021-09-29 10:59:17.725757 : Epoch  9, Batch    599, Loss  0.875910, Average Loss  0.868831, Time  0.447401
2021-09-29 10:59:23.659920 : Epoch  9, Batch    600, Loss  0.889013, Average Loss  0.868865, Time  0.444752
2021-09-29 10:59:29.572050 : Epoch  9, Batch    601, Loss  0.876303, Average Loss  0.868904, Time  0.444225
2021-09-29 10:59:35.484673 : Epoch  9, Batch    602, Loss  0.864165, Average Loss  0.868891, Time  0.444667
2021-09-29 10:59:41.421903 : Epoch  9, Batch    603, Loss  0.866720, Average Loss  0.868855, Time  0.444478
2021-09-29 10:59:47.372159 : Epoch  9, Batch    604, Loss  0.854009, Average Loss  0.868820, Time  0.462218
2021-09-29 10:59:53.279774 : Epoch  9, Batch    605, Loss  0.874931, Average Loss  0.868904, Time  0.447748
2021-09-29 10:59:59.206638 : Epoch  9, Batch    606, Loss  0.872853, Average Loss  0.868886, Time  0.444664
2021-09-29 11:00:05.128655 : Epoch  9, Batch    607, Loss  0.867082, Average Loss  0.868926, Time  0.445719
2021-09-29 11:00:11.044141 : Epoch  9, Batch    608, Loss  0.873728, Average Loss  0.869003, Time  0.444119
2021-09-29 11:00:16.972823 : Epoch  9, Batch    609, Loss  0.865198, Average Loss  0.868964, Time  0.447478
2021-09-29 11:00:22.889533 : Epoch  9, Batch    610, Loss  0.871579, Average Loss  0.868998, Time  0.444667
2021-09-29 11:00:28.808759 : Epoch  9, Batch    611, Loss  0.882408, Average Loss  0.869070, Time  0.446786
2021-09-29 11:00:34.737232 : Epoch  9, Batch    612, Loss  0.863750, Average Loss  0.869047, Time  0.457384
2021-09-29 11:00:40.670195 : Epoch  9, Batch    613, Loss  0.871876, Average Loss  0.869002, Time  0.446555
2021-09-29 11:00:46.615992 : Epoch  9, Batch    614, Loss  0.886502, Average Loss  0.869050, Time  0.449169
2021-09-29 11:00:52.522879 : Epoch  9, Batch    615, Loss  0.870770, Average Loss  0.869052, Time  0.445490
2021-09-29 11:00:58.476746 : Epoch  9, Batch    616, Loss  0.859880, Average Loss  0.869023, Time  0.447067
2021-09-29 11:01:04.417414 : Epoch  9, Batch    617, Loss  0.863388, Average Loss  0.869027, Time  0.446536
2021-09-29 11:01:10.323817 : Epoch  9, Batch    618, Loss  0.866592, Average Loss  0.869092, Time  0.444598
2021-09-29 11:01:16.249779 : Epoch  9, Batch    619, Loss  0.857900, Average Loss  0.868997, Time  0.445641
2021-09-29 11:01:22.203876 : Epoch  9, Batch    620, Loss  0.866094, Average Loss  0.868965, Time  0.455578
2021-09-29 11:01:28.125065 : Epoch  9, Batch    621, Loss  0.881297, Average Loss  0.868973, Time  0.445521
2021-09-29 11:01:34.059914 : Epoch  9, Batch    622, Loss  0.863318, Average Loss  0.868943, Time  0.446981
2021-09-29 11:01:39.991705 : Epoch  9, Batch    623, Loss  0.867099, Average Loss  0.868976, Time  0.444822
2021-09-29 11:01:45.939364 : Epoch  9, Batch    624, Loss  0.874507, Average Loss  0.869025, Time  0.449257
2021-09-29 11:01:51.874051 : Epoch  9, Batch    625, Loss  0.871235, Average Loss  0.868969, Time  0.446504
2021-09-29 11:01:57.809980 : Epoch  9, Batch    626, Loss  0.860091, Average Loss  0.868918, Time  0.445594
2021-09-29 11:02:03.725567 : Epoch  9, Batch    627, Loss  0.870726, Average Loss  0.868921, Time  0.446414
2021-09-29 11:02:09.656686 : Epoch  9, Batch    628, Loss  0.859738, Average Loss  0.868864, Time  0.457618
2021-09-29 11:02:15.593156 : Epoch  9, Batch    629, Loss  0.868226, Average Loss  0.868810, Time  0.447239
2021-09-29 11:02:21.495199 : Epoch  9, Batch    630, Loss  0.868987, Average Loss  0.868827, Time  0.447500
2021-09-29 11:02:27.438430 : Epoch  9, Batch    631, Loss  0.883012, Average Loss  0.868986, Time  0.448041
2021-09-29 11:02:33.356825 : Epoch  9, Batch    632, Loss  0.871416, Average Loss  0.868994, Time  0.445138
2021-09-29 11:02:39.283926 : Epoch  9, Batch    633, Loss  0.863108, Average Loss  0.868870, Time  0.444784
2021-09-29 11:02:45.203257 : Epoch  9, Batch    634, Loss  0.871085, Average Loss  0.868940, Time  0.445020
2021-09-29 11:02:51.129239 : Epoch  9, Batch    635, Loss  0.873320, Average Loss  0.868994, Time  0.445651
2021-09-29 11:02:57.077642 : Epoch  9, Batch    636, Loss  0.878334, Average Loss  0.869023, Time  0.462106
2021-09-29 11:03:03.008186 : Epoch  9, Batch    637, Loss  0.874436, Average Loss  0.869055, Time  0.445424
2021-09-29 11:03:08.933238 : Epoch  9, Batch    638, Loss  0.857065, Average Loss  0.868905, Time  0.444236
2021-09-29 11:03:14.867879 : Epoch  9, Batch    639, Loss  0.854605, Average Loss  0.868827, Time  0.445275
2021-09-29 11:03:20.789551 : Epoch  9, Batch    640, Loss  0.858326, Average Loss  0.868831, Time  0.444264
2021-09-29 11:03:26.710084 : Epoch  9, Batch    641, Loss  0.865339, Average Loss  0.868770, Time  0.444635
2021-09-29 11:03:32.655152 : Epoch  9, Batch    642, Loss  0.860398, Average Loss  0.868705, Time  0.444664
2021-09-29 11:03:38.581351 : Epoch  9, Batch    643, Loss  0.852717, Average Loss  0.868565, Time  0.445298
2021-09-29 11:03:44.519275 : Epoch  9, Batch    644, Loss  0.862723, Average Loss  0.868540, Time  0.461195
2021-09-29 11:03:50.462831 : Epoch  9, Batch    645, Loss  0.875502, Average Loss  0.868543, Time  0.447843
2021-09-29 11:03:56.382103 : Epoch  9, Batch    646, Loss  0.882893, Average Loss  0.868557, Time  0.447785
2021-09-29 11:04:02.295083 : Epoch  9, Batch    647, Loss  0.864075, Average Loss  0.868561, Time  0.443952
2021-09-29 11:04:08.214522 : Epoch  9, Batch    648, Loss  0.863586, Average Loss  0.868506, Time  0.444816
2021-09-29 11:04:14.154842 : Epoch  9, Batch    649, Loss  0.874496, Average Loss  0.868524, Time  0.444170
2021-09-29 11:04:20.087259 : Epoch  9, Batch    650, Loss  0.882529, Average Loss  0.868659, Time  0.444598
2021-09-29 11:04:26.027777 : Epoch  9, Batch    651, Loss  0.882094, Average Loss  0.868824, Time  0.458743
2021-09-29 11:04:31.952833 : Epoch  9, Batch    652, Loss  0.862068, Average Loss  0.868808, Time  0.449208
2021-09-29 11:04:37.877910 : Epoch  9, Batch    653, Loss  0.874342, Average Loss  0.868807, Time  0.445517
2021-09-29 11:04:43.801434 : Epoch  9, Batch    654, Loss  0.865022, Average Loss  0.868759, Time  0.445965
2021-09-29 11:04:49.737751 : Epoch  9, Batch    655, Loss  0.860747, Average Loss  0.868714, Time  0.445933
2021-09-29 11:04:55.675239 : Epoch  9, Batch    656, Loss  0.866288, Average Loss  0.868660, Time  0.446199
2021-09-29 11:05:01.614397 : Epoch  9, Batch    657, Loss  0.865129, Average Loss  0.868665, Time  0.450596
2021-09-29 11:05:07.533297 : Epoch  9, Batch    658, Loss  0.872186, Average Loss  0.868673, Time  0.444898
2021-09-29 11:05:13.470234 : Epoch  9, Batch    659, Loss  0.878770, Average Loss  0.868708, Time  0.457828
2021-09-29 11:05:19.406532 : Epoch  9, Batch    660, Loss  0.878621, Average Loss  0.868684, Time  0.444793
2021-09-29 11:05:25.330798 : Epoch  9, Batch    661, Loss  0.871898, Average Loss  0.868724, Time  0.447316
2021-09-29 11:05:31.273935 : Epoch  9, Batch    662, Loss  0.871092, Average Loss  0.868735, Time  0.448270
2021-09-29 11:05:37.197777 : Epoch  9, Batch    663, Loss  0.875100, Average Loss  0.868812, Time  0.444264
2021-09-29 11:05:43.147667 : Epoch  9, Batch    664, Loss  0.859642, Average Loss  0.868757, Time  0.445378
2021-09-29 11:05:49.094784 : Epoch  9, Batch    665, Loss  0.875607, Average Loss  0.868741, Time  0.446250
2021-09-29 11:05:55.039424 : Epoch  9, Batch    666, Loss  0.879759, Average Loss  0.868812, Time  0.447422
2021-09-29 11:06:00.978856 : Epoch  9, Batch    667, Loss  0.855077, Average Loss  0.868775, Time  0.455735
2021-09-29 11:06:06.907934 : Epoch  9, Batch    668, Loss  0.863468, Average Loss  0.868761, Time  0.445666
2021-09-29 11:06:12.846355 : Epoch  9, Batch    669, Loss  0.878807, Average Loss  0.868848, Time  0.445473
2021-09-29 11:06:18.764261 : Epoch  9, Batch    670, Loss  0.878256, Average Loss  0.868879, Time  0.446513
2021-09-29 11:06:24.693046 : Epoch  9, Batch    671, Loss  0.864743, Average Loss  0.868898, Time  0.447008
2021-09-29 11:06:30.615856 : Epoch  9, Batch    672, Loss  0.873780, Average Loss  0.868930, Time  0.444622
2021-09-29 11:06:36.530420 : Epoch  9, Batch    673, Loss  0.863447, Average Loss  0.868865, Time  0.447462
2021-09-29 11:06:42.470044 : Epoch  9, Batch    674, Loss  0.889995, Average Loss  0.869016, Time  0.445369
2021-09-29 11:06:48.407093 : Epoch  9, Batch    675, Loss  0.869961, Average Loss  0.869040, Time  0.457714
2021-09-29 11:06:54.351592 : Epoch  9, Batch    676, Loss  0.872366, Average Loss  0.869044, Time  0.445257
2021-09-29 11:11:32.008752 : CheckPoint: Validation Loss  0.00015043, Best Loss  0.00014870
2021-09-29 11:11:37.934943 : Epoch  9, Batch    677, Loss  0.871918, Average Loss  0.869018, Time  0.447298
2021-09-29 11:11:43.861618 : Epoch  9, Batch    678, Loss  0.857963, Average Loss  0.868972, Time  0.444591
2021-09-29 11:11:49.778356 : Epoch  9, Batch    679, Loss  0.859718, Average Loss  0.869015, Time  0.445404
2021-09-29 11:11:55.698063 : Epoch  9, Batch    680, Loss  0.866834, Average Loss  0.869038, Time  0.444409
2021-09-29 11:12:01.644727 : Epoch  9, Batch    681, Loss  0.864876, Average Loss  0.868981, Time  0.444732
2021-09-29 11:12:07.588288 : Epoch  9, Batch    682, Loss  0.880088, Average Loss  0.869044, Time  0.461087
2021-09-29 11:12:13.519809 : Epoch  9, Batch    683, Loss  0.877318, Average Loss  0.869093, Time  0.445827
2021-09-29 11:12:19.450878 : Epoch  9, Batch    684, Loss  0.887259, Average Loss  0.869218, Time  0.444322
2021-09-29 11:12:25.384119 : Epoch  9, Batch    685, Loss  0.866339, Average Loss  0.869213, Time  0.447721
2021-09-29 11:12:31.322741 : Epoch  9, Batch    686, Loss  0.859791, Average Loss  0.869139, Time  0.446744
2021-09-29 11:12:37.255451 : Epoch  9, Batch    687, Loss  0.871470, Average Loss  0.869166, Time  0.447028
2021-09-29 11:12:43.189858 : Epoch  9, Batch    688, Loss  0.873392, Average Loss  0.869285, Time  0.444798
2021-09-29 11:12:49.128263 : Epoch  9, Batch    689, Loss  0.859632, Average Loss  0.869158, Time  0.445037
2021-09-29 11:12:55.061789 : Epoch  9, Batch    690, Loss  0.873090, Average Loss  0.869168, Time  0.458035
2021-09-29 11:13:00.989781 : Epoch  9, Batch    691, Loss  0.866569, Average Loss  0.869197, Time  0.444669
2021-09-29 11:13:06.920545 : Epoch  9, Batch    692, Loss  0.867523, Average Loss  0.869167, Time  0.446043
2021-09-29 11:13:12.844597 : Epoch  9, Batch    693, Loss  0.864990, Average Loss  0.869132, Time  0.444931
2021-09-29 11:13:18.768370 : Epoch  9, Batch    694, Loss  0.867302, Average Loss  0.869115, Time  0.444418
2021-09-29 11:13:24.698657 : Epoch  9, Batch    695, Loss  0.879732, Average Loss  0.869247, Time  0.448056
2021-09-29 11:13:30.628801 : Epoch  9, Batch    696, Loss  0.870140, Average Loss  0.869361, Time  0.445446
2021-09-29 11:13:36.565164 : Epoch  9, Batch    697, Loss  0.897790, Average Loss  0.869540, Time  0.445746
2021-09-29 11:13:42.495750 : Epoch  9, Batch    698, Loss  0.879631, Average Loss  0.869435, Time  0.459352
2021-09-29 11:13:48.403755 : Epoch  9, Batch    699, Loss  0.860157, Average Loss  0.869396, Time  0.444370
2021-09-29 11:13:54.326111 : Epoch  9, Batch    700, Loss  0.873691, Average Loss  0.869413, Time  0.447795
2021-09-29 11:14:00.252347 : Epoch  9, Batch    701, Loss  0.882975, Average Loss  0.869517, Time  0.444985
2021-09-29 11:14:06.178746 : Epoch  9, Batch    702, Loss  0.880753, Average Loss  0.869570, Time  0.444745
2021-09-29 11:14:12.105214 : Epoch  9, Batch    703, Loss  0.868454, Average Loss  0.869537, Time  0.446647
2021-09-29 11:14:18.033466 : Epoch  9, Batch    704, Loss  0.871968, Average Loss  0.869579, Time  0.446158
2021-09-29 11:14:23.950818 : Epoch  9, Batch    705, Loss  0.858941, Average Loss  0.869535, Time  0.447906
2021-09-29 11:14:29.874848 : Epoch  9, Batch    706, Loss  0.869204, Average Loss  0.869533, Time  0.454396
2021-09-29 11:14:35.785601 : Epoch  9, Batch    707, Loss  0.874146, Average Loss  0.869598, Time  0.444687
2021-09-29 11:14:41.726123 : Epoch  9, Batch    708, Loss  0.865896, Average Loss  0.869526, Time  0.446002
2021-09-29 11:14:47.649005 : Epoch  9, Batch    709, Loss  0.869375, Average Loss  0.869595, Time  0.445217
2021-09-29 11:14:53.575537 : Epoch  9, Batch    710, Loss  0.846719, Average Loss  0.869496, Time  0.446670
2021-09-29 11:14:59.482825 : Epoch  9, Batch    711, Loss  0.870692, Average Loss  0.869517, Time  0.446480
2021-09-29 11:15:05.408783 : Epoch  9, Batch    712, Loss  0.869472, Average Loss  0.869548, Time  0.445841
2021-09-29 11:15:11.327721 : Epoch  9, Batch    713, Loss  0.852246, Average Loss  0.869378, Time  0.445376
2021-09-29 11:15:17.250151 : Epoch  9, Batch    714, Loss  0.866076, Average Loss  0.869406, Time  0.461038
2021-09-29 11:15:23.181513 : Epoch  9, Batch    715, Loss  0.872554, Average Loss  0.869390, Time  0.444886
2021-09-29 11:15:29.124333 : Epoch  9, Batch    716, Loss  0.879255, Average Loss  0.869361, Time  0.445010
2021-09-29 11:15:35.069511 : Epoch  9, Batch    717, Loss  0.860865, Average Loss  0.869321, Time  0.446366
2021-09-29 11:15:41.001906 : Epoch  9, Batch    718, Loss  0.866799, Average Loss  0.869269, Time  0.448219
2021-09-29 11:15:46.925543 : Epoch  9, Batch    719, Loss  0.877088, Average Loss  0.869292, Time  0.444959
2021-09-29 11:15:52.837295 : Epoch  9, Batch    720, Loss  0.866477, Average Loss  0.869236, Time  0.446576
2021-09-29 11:15:58.746444 : Epoch  9, Batch    721, Loss  0.874580, Average Loss  0.869307, Time  0.445465
2021-09-29 11:16:04.694438 : Epoch  9, Batch    722, Loss  0.876535, Average Loss  0.869406, Time  0.460834
2021-09-29 11:16:10.634210 : Epoch  9, Batch    723, Loss  0.877554, Average Loss  0.869377, Time  0.447530
2021-09-29 11:16:16.551109 : Epoch  9, Batch    724, Loss  0.871470, Average Loss  0.869361, Time  0.445226
2021-09-29 11:16:22.476832 : Epoch  9, Batch    725, Loss  0.880810, Average Loss  0.869403, Time  0.444986
2021-09-29 11:16:28.420744 : Epoch  9, Batch    726, Loss  0.854621, Average Loss  0.869354, Time  0.444245
2021-09-29 11:16:34.351841 : Epoch  9, Batch    727, Loss  0.863199, Average Loss  0.869351, Time  0.445579
2021-09-29 11:16:40.277747 : Epoch  9, Batch    728, Loss  0.869187, Average Loss  0.869415, Time  0.444097
2021-09-29 11:16:46.216942 : Epoch  9, Batch    729, Loss  0.874120, Average Loss  0.869443, Time  0.446179
2021-09-29 11:16:52.179529 : Epoch  9, Batch    730, Loss  0.878483, Average Loss  0.869495, Time  0.459074
2021-09-29 11:16:58.097904 : Epoch  9, Batch    731, Loss  0.880415, Average Loss  0.869582, Time  0.446802
2021-09-29 11:17:04.029299 : Epoch  9, Batch    732, Loss  0.876449, Average Loss  0.869585, Time  0.446497
2021-09-29 11:17:09.951768 : Epoch  9, Batch    733, Loss  0.871950, Average Loss  0.869552, Time  0.445641
2021-09-29 11:17:15.883244 : Epoch  9, Batch    734, Loss  0.860480, Average Loss  0.869455, Time  0.444628
2021-09-29 11:17:21.798473 : Epoch  9, Batch    735, Loss  0.870795, Average Loss  0.869475, Time  0.444747
2021-09-29 11:17:27.723866 : Epoch  9, Batch    736, Loss  0.880260, Average Loss  0.869568, Time  0.445167
2021-09-29 11:17:33.654375 : Epoch  9, Batch    737, Loss  0.874856, Average Loss  0.869599, Time  0.445634
2021-09-29 11:17:39.603801 : Epoch  9, Batch    738, Loss  0.874633, Average Loss  0.869624, Time  0.462717
2021-09-29 11:17:45.554498 : Epoch  9, Batch    739, Loss  0.862459, Average Loss  0.869599, Time  0.451154
2021-09-29 11:17:51.502605 : Epoch  9, Batch    740, Loss  0.871667, Average Loss  0.869626, Time  0.447306
2021-09-29 11:17:57.428819 : Epoch  9, Batch    741, Loss  0.868561, Average Loss  0.869620, Time  0.444793
2021-09-29 11:18:03.359728 : Epoch  9, Batch    742, Loss  0.877390, Average Loss  0.869624, Time  0.444221
2021-09-29 11:18:09.262903 : Epoch  9, Batch    743, Loss  0.882223, Average Loss  0.869671, Time  0.447028
2021-09-29 11:18:15.182535 : Epoch  9, Batch    744, Loss  0.868585, Average Loss  0.869737, Time  0.446995
2021-09-29 11:18:21.107308 : Epoch  9, Batch    745, Loss  0.852654, Average Loss  0.869673, Time  0.447668
2021-09-29 11:18:27.038035 : Epoch  9, Batch    746, Loss  0.875906, Average Loss  0.869661, Time  0.451213
2021-09-29 11:18:32.983343 : Epoch  9, Batch    747, Loss  0.852161, Average Loss  0.869632, Time  0.444938
2021-09-29 11:18:38.915778 : Epoch  9, Batch    748, Loss  0.870649, Average Loss  0.869708, Time  0.446596
2021-09-29 11:18:44.851204 : Epoch  9, Batch    749, Loss  0.879103, Average Loss  0.869789, Time  0.444407
2021-09-29 11:18:50.781527 : Epoch  9, Batch    750, Loss  0.863161, Average Loss  0.869770, Time  0.445870
2021-09-29 11:18:56.712674 : Epoch  9, Batch    751, Loss  0.850851, Average Loss  0.869692, Time  0.445565
2021-09-29 11:19:02.637788 : Epoch  9, Batch    752, Loss  0.871873, Average Loss  0.869718, Time  0.447611
2021-09-29 11:19:08.567805 : Epoch  9, Batch    753, Loss  0.866301, Average Loss  0.869722, Time  0.445387
2021-09-29 11:19:14.533804 : Epoch  9, Batch    754, Loss  0.887783, Average Loss  0.869824, Time  0.462170
2021-09-29 11:19:20.458824 : Epoch  9, Batch    755, Loss  0.868894, Average Loss  0.869844, Time  0.449094
2021-09-29 11:19:26.396772 : Epoch  9, Batch    756, Loss  0.876036, Average Loss  0.869844, Time  0.446024
2021-09-29 11:19:32.324265 : Epoch  9, Batch    757, Loss  0.868389, Average Loss  0.869865, Time  0.446653
2021-09-29 11:19:38.250078 : Epoch  9, Batch    758, Loss  0.879929, Average Loss  0.869908, Time  0.444958
2021-09-29 11:19:44.178762 : Epoch  9, Batch    759, Loss  0.889413, Average Loss  0.870115, Time  0.447546
2021-09-29 11:19:50.112294 : Epoch  9, Batch    760, Loss  0.881477, Average Loss  0.870227, Time  0.446047
2021-09-29 11:19:56.040888 : Epoch  9, Batch    761, Loss  0.866997, Average Loss  0.870255, Time  0.458274
2021-09-29 11:20:01.975742 : Epoch  9, Batch    762, Loss  0.860581, Average Loss  0.870177, Time  0.444938
2021-09-29 11:20:07.887730 : Epoch  9, Batch    763, Loss  0.857671, Average Loss  0.870100, Time  0.445443
2021-09-29 11:20:13.812725 : Epoch  9, Batch    764, Loss  0.871073, Average Loss  0.870112, Time  0.445928
2021-09-29 11:20:19.721150 : Epoch  9, Batch    765, Loss  0.877226, Average Loss  0.870211, Time  0.444929
2021-09-29 11:20:25.646611 : Epoch  9, Batch    766, Loss  0.857557, Average Loss  0.870121, Time  0.446761
2021-09-29 11:20:31.564806 : Epoch  9, Batch    767, Loss  0.872203, Average Loss  0.870117, Time  0.445335
2021-09-29 11:20:37.474738 : Epoch  9, Batch    768, Loss  0.874162, Average Loss  0.870128, Time  0.444870
2021-09-29 11:20:43.394300 : Epoch  9, Batch    769, Loss  0.872006, Average Loss  0.870061, Time  0.454226
2021-09-29 11:20:49.329087 : Epoch  9, Batch    770, Loss  0.855140, Average Loss  0.870022, Time  0.447469
2021-09-29 11:20:55.249127 : Epoch  9, Batch    771, Loss  0.858182, Average Loss  0.869938, Time  0.444350
2021-09-29 11:21:01.176061 : Epoch  9, Batch    772, Loss  0.866753, Average Loss  0.869878, Time  0.448899
2021-09-29 11:21:07.094414 : Epoch  9, Batch    773, Loss  0.889364, Average Loss  0.869998, Time  0.443735
2021-09-29 11:21:13.016704 : Epoch  9, Batch    774, Loss  0.869744, Average Loss  0.870046, Time  0.444371
2021-09-29 11:21:18.966433 : Epoch  9, Batch    775, Loss  0.861125, Average Loss  0.869967, Time  0.446654
2021-09-29 11:21:24.907783 : Epoch  9, Batch    776, Loss  0.867047, Average Loss  0.869968, Time  0.445887
2021-09-29 11:25:50.927915 : CheckPoint: Validation Loss  0.00015324, Best Loss  0.00014870
2021-09-29 11:25:56.328346 : Epoch  9, Batch    777, Loss  0.882615, Average Loss  0.870075, Time  0.441136
2021-09-29 11:26:01.604748 : Epoch  9, Batch    778, Loss  0.889769, Average Loss  0.870225, Time  0.442471
2021-09-29 11:26:06.882171 : Epoch  9, Batch    779, Loss  0.866618, Average Loss  0.870194, Time  0.454618
2021-09-29 11:26:12.203623 : Epoch  9, Batch    780, Loss  0.860334, Average Loss  0.870206, Time  0.441609
2021-09-29 11:26:17.515291 : Epoch  9, Batch    781, Loss  0.880287, Average Loss  0.870261, Time  0.440687
2021-09-29 11:26:22.790412 : Epoch  9, Batch    782, Loss  0.860528, Average Loss  0.870163, Time  0.440402
2021-09-29 11:26:28.043490 : Epoch  9, Batch    783, Loss  0.848630, Average Loss  0.870041, Time  0.440508
2021-09-29 11:26:33.309125 : Epoch  9, Batch    784, Loss  0.867019, Average Loss  0.870051, Time  0.440087
2021-09-29 11:26:38.595472 : Epoch  9, Batch    785, Loss  0.877262, Average Loss  0.870104, Time  0.440188
2021-09-29 11:26:43.972923 : Epoch  9, Batch    786, Loss  0.878154, Average Loss  0.870102, Time  0.440762
2021-09-29 11:26:49.239093 : Epoch  9, Batch    787, Loss  0.877315, Average Loss  0.870154, Time  0.440428
2021-09-29 11:26:54.539536 : Epoch  9, Batch    788, Loss  0.857430, Average Loss  0.870084, Time  0.454056
2021-09-29 11:26:59.833862 : Epoch  9, Batch    789, Loss  0.866923, Average Loss  0.870030, Time  0.440764
2021-09-29 11:27:05.123763 : Epoch  9, Batch    790, Loss  0.890371, Average Loss  0.870165, Time  0.440733
2021-09-29 11:27:10.397122 : Epoch  9, Batch    791, Loss  0.871668, Average Loss  0.870176, Time  0.441612
2021-09-29 11:27:15.692797 : Epoch  9, Batch    792, Loss  0.879841, Average Loss  0.870266, Time  0.440449
2021-09-29 11:27:21.077435 : Epoch  9, Batch    793, Loss  0.864404, Average Loss  0.870198, Time  0.440325
2021-09-29 11:27:26.381242 : Epoch  9, Batch    794, Loss  0.864265, Average Loss  0.870112, Time  0.440711
2021-09-29 11:27:31.662591 : Epoch  9, Batch    795, Loss  0.859944, Average Loss  0.870069, Time  0.440597
2021-09-29 11:27:36.969126 : Epoch  9, Batch    796, Loss  0.857553, Average Loss  0.869997, Time  0.440550
2021-09-29 11:27:42.290570 : Epoch  9, Batch    797, Loss  0.864601, Average Loss  0.870023, Time  0.454848
2021-09-29 11:27:47.642331 : Epoch  9, Batch    798, Loss  0.876520, Average Loss  0.870025, Time  0.440171
2021-09-29 11:27:52.930765 : Epoch  9, Batch    799, Loss  0.866683, Average Loss  0.869979, Time  0.440635
2021-09-29 11:27:58.227373 : Epoch  9, Batch    800, Loss  0.878197, Average Loss  0.869925, Time  0.443034
2021-09-29 11:28:03.476191 : Epoch  9, Batch    801, Loss  0.861229, Average Loss  0.869849, Time  0.440089
2021-09-29 11:28:08.773437 : Epoch  9, Batch    802, Loss  0.870764, Average Loss  0.869882, Time  0.440971
2021-09-29 11:28:14.071981 : Epoch  9, Batch    803, Loss  0.858012, Average Loss  0.869839, Time  0.440895
2021-09-29 11:28:19.377513 : Epoch  9, Batch    804, Loss  0.878511, Average Loss  0.869961, Time  0.441229
2021-09-29 11:28:24.650724 : Epoch  9, Batch    805, Loss  0.877618, Average Loss  0.869975, Time  0.440325
2021-09-29 11:28:29.943992 : Epoch  9, Batch    806, Loss  0.871626, Average Loss  0.869969, Time  0.452805
2021-09-29 11:28:35.565077 : Epoch  9, Batch    807, Loss  0.870124, Average Loss  0.869984, Time  0.443008
2021-09-29 11:28:41.219415 : Epoch  9, Batch    808, Loss  0.851942, Average Loss  0.869875, Time  0.442118
2021-09-29 11:28:46.787826 : Epoch  9, Batch    809, Loss  0.863565, Average Loss  0.869867, Time  0.444707
2021-09-29 11:28:52.531871 : Epoch  9, Batch    810, Loss  0.865154, Average Loss  0.869835, Time  0.444650
2021-09-29 11:28:58.184031 : Epoch  9, Batch    811, Loss  0.870190, Average Loss  0.869774, Time  0.443146
2021-09-29 11:29:03.893581 : Epoch  9, Batch    812, Loss  0.863932, Average Loss  0.869775, Time  0.444984
2021-09-29 11:29:09.565041 : Epoch  9, Batch    813, Loss  0.881149, Average Loss  0.869821, Time  0.444382
2021-09-29 11:29:15.281207 : Epoch  9, Batch    814, Loss  0.850730, Average Loss  0.869642, Time  0.454156
2021-09-29 11:29:21.019655 : Epoch  9, Batch    815, Loss  0.880360, Average Loss  0.869690, Time  0.444439
2021-09-29 11:29:26.697502 : Epoch  9, Batch    816, Loss  0.877244, Average Loss  0.869777, Time  0.444560
2021-09-29 11:29:32.432378 : Epoch  9, Batch    817, Loss  0.882518, Average Loss  0.869872, Time  0.445160
2021-09-29 11:29:37.929337 : Epoch  9, Batch    818, Loss  0.873524, Average Loss  0.869907, Time  0.444364
2021-09-29 11:29:43.663707 : Epoch  9, Batch    819, Loss  0.851191, Average Loss  0.869874, Time  0.444063
2021-09-29 11:29:49.354628 : Epoch  9, Batch    820, Loss  0.856962, Average Loss  0.869828, Time  0.444752
2021-09-29 11:29:54.887930 : Epoch  9, Batch    821, Loss  0.870239, Average Loss  0.869773, Time  0.444063
2021-09-29 11:30:00.482935 : Epoch  9, Batch    822, Loss  0.882971, Average Loss  0.869871, Time  0.460268
2021-09-29 11:30:05.975756 : Epoch  9, Batch    823, Loss  0.859144, Average Loss  0.869831, Time  0.442811
2021-09-29 11:30:11.566708 : Epoch  9, Batch    824, Loss  0.872072, Average Loss  0.869819, Time  0.444581
2021-09-29 11:30:17.310340 : Epoch  9, Batch    825, Loss  0.873820, Average Loss  0.869832, Time  0.446220
2021-09-29 11:30:23.004128 : Epoch  9, Batch    826, Loss  0.869865, Average Loss  0.869881, Time  0.444281
2021-09-29 11:30:28.696285 : Epoch  9, Batch    827, Loss  0.860170, Average Loss  0.869828, Time  0.441624
2021-09-29 11:30:34.224075 : Epoch  9, Batch    828, Loss  0.861573, Average Loss  0.869837, Time  0.446156
2021-09-29 11:30:39.897844 : Epoch  9, Batch    829, Loss  0.876584, Average Loss  0.869879, Time  0.444727
2021-09-29 11:30:45.384374 : Epoch  9, Batch    830, Loss  0.864384, Average Loss  0.869856, Time  0.451989
2021-09-29 11:30:50.866951 : Epoch  9, Batch    831, Loss  0.886085, Average Loss  0.869871, Time  0.441960
2021-09-29 11:30:56.292316 : Epoch  9, Batch    832, Loss  0.876926, Average Loss  0.869899, Time  0.444467
2021-09-29 11:31:01.969451 : Epoch  9, Batch    833, Loss  0.854593, Average Loss  0.869856, Time  0.444297
2021-09-29 11:31:07.621634 : Epoch  9, Batch    834, Loss  0.865294, Average Loss  0.869827, Time  0.444216
2021-09-29 11:31:13.339189 : Epoch  9, Batch    835, Loss  0.874485, Average Loss  0.869833, Time  0.444758
2021-09-29 11:31:18.986287 : Epoch  9, Batch    836, Loss  0.860809, Average Loss  0.869746, Time  0.441873
2021-09-29 11:31:24.497022 : Epoch  9, Batch    837, Loss  0.877306, Average Loss  0.869760, Time  0.444052
2021-09-29 11:31:29.995720 : Epoch  9, Batch    838, Loss  0.856166, Average Loss  0.869755, Time  0.445328
2021-09-29 11:31:35.479782 : Epoch  9, Batch    839, Loss  0.875093, Average Loss  0.869858, Time  0.456918
2021-09-29 11:31:41.110268 : Epoch  9, Batch    840, Loss  0.874864, Average Loss  0.869940, Time  0.443827
2021-09-29 11:31:46.814075 : Epoch  9, Batch    841, Loss  0.858494, Average Loss  0.869906, Time  0.443891
2021-09-29 11:31:52.317174 : Epoch  9, Batch    842, Loss  0.888740, Average Loss  0.870048, Time  0.442970
2021-09-29 11:31:57.741410 : Epoch  9, Batch    843, Loss  0.873058, Average Loss  0.870150, Time  0.442235
2021-09-29 11:32:03.133992 : Epoch  9, Batch    844, Loss  0.872764, Average Loss  0.870200, Time  0.441896
2021-09-29 11:32:08.635550 : Epoch  9, Batch    845, Loss  0.854664, Average Loss  0.870096, Time  0.442565
2021-09-29 11:32:14.262032 : Epoch  9, Batch    846, Loss  0.877945, Average Loss  0.870071, Time  0.444731
2021-09-29 11:32:19.840734 : Epoch  9, Batch    847, Loss  0.869356, Average Loss  0.870097, Time  0.444125
2021-09-29 11:32:25.404534 : Epoch  9, Batch    848, Loss  0.850914, Average Loss  0.870034, Time  0.457602
2021-09-29 11:32:30.870654 : Epoch  9, Batch    849, Loss  0.866601, Average Loss  0.869995, Time  0.441848
2021-09-29 11:32:36.419401 : Epoch  9, Batch    850, Loss  0.870287, Average Loss  0.869933, Time  0.443574
2021-09-29 11:32:42.099972 : Epoch  9, Batch    851, Loss  0.851430, Average Loss  0.869780, Time  0.444232
2021-09-29 11:32:47.628968 : Epoch  9, Batch    852, Loss  0.858817, Average Loss  0.869764, Time  0.442222
2021-09-29 11:32:53.160125 : Epoch  9, Batch    853, Loss  0.861806, Average Loss  0.869701, Time  0.442528
2021-09-29 11:32:58.654710 : Epoch  9, Batch    854, Loss  0.878806, Average Loss  0.869770, Time  0.442761
2021-09-29 11:33:04.234700 : Epoch  9, Batch    855, Loss  0.874631, Average Loss  0.869839, Time  0.445696
2021-09-29 11:33:09.947550 : Epoch  9, Batch    856, Loss  0.873459, Average Loss  0.869875, Time  0.444444
2021-09-29 11:33:15.704488 : Epoch  9, Batch    857, Loss  0.880128, Average Loss  0.869950, Time  0.455702
2021-09-29 11:33:21.278839 : Epoch  9, Batch    858, Loss  0.868591, Average Loss  0.869932, Time  0.441754
2021-09-29 11:33:26.775423 : Epoch  9, Batch    859, Loss  0.857677, Average Loss  0.869827, Time  0.441309
2021-09-29 11:33:32.224213 : Epoch  9, Batch    860, Loss  0.863837, Average Loss  0.869753, Time  0.441767
2021-09-29 11:33:37.789126 : Epoch  9, Batch    861, Loss  0.871152, Average Loss  0.869749, Time  0.441972
2021-09-29 11:33:43.391398 : Epoch  9, Batch    862, Loss  0.881111, Average Loss  0.869799, Time  0.445148
2021-09-29 11:33:49.058003 : Epoch  9, Batch    863, Loss  0.880977, Average Loss  0.869829, Time  0.443615
2021-09-29 11:33:54.709188 : Epoch  9, Batch    864, Loss  0.882711, Average Loss  0.869944, Time  0.445887
2021-09-29 11:34:00.447928 : Epoch  9, Batch    865, Loss  0.869327, Average Loss  0.869913, Time  0.458272
2021-09-29 11:34:06.052842 : Epoch  9, Batch    866, Loss  0.861635, Average Loss  0.869822, Time  0.442587
2021-09-29 11:34:11.700298 : Epoch  9, Batch    867, Loss  0.863060, Average Loss  0.869862, Time  0.443575
2021-09-29 11:34:17.389710 : Epoch  9, Batch    868, Loss  0.878820, Average Loss  0.869939, Time  0.444610
2021-09-29 11:34:22.694774 : Epoch  9, Batch    869, Loss  0.863225, Average Loss  0.869861, Time  0.442060
2021-09-29 11:34:28.219810 : Epoch  9, Batch    870, Loss  0.870146, Average Loss  0.869820, Time  0.440400
2021-09-29 11:34:33.860277 : Epoch  9, Batch    871, Loss  0.866842, Average Loss  0.869831, Time  0.443990
2021-09-29 11:34:39.367748 : Epoch  9, Batch    872, Loss  0.872913, Average Loss  0.869826, Time  0.442641
2021-09-29 11:34:44.832265 : Epoch  9, Batch    873, Loss  0.879513, Average Loss  0.869907, Time  0.444717
2021-09-29 11:34:50.346705 : Epoch  9, Batch    874, Loss  0.878775, Average Loss  0.869851, Time  0.454560
2021-09-29 11:34:55.825641 : Epoch  9, Batch    875, Loss  0.863015, Average Loss  0.869816, Time  0.441470
2021-09-29 11:35:01.306133 : Epoch  9, Batch    876, Loss  0.874351, Average Loss  0.869826, Time  0.444288
2021-09-29 11:39:21.189300 : CheckPoint: Validation Loss  0.00014889, Best Loss  0.00014870
2021-09-29 11:39:26.591168 : Epoch  9, Batch    877, Loss  0.862203, Average Loss  0.869777, Time  0.444971
2021-09-29 11:39:32.234382 : Epoch  9, Batch    878, Loss  0.868758, Average Loss  0.869831, Time  0.454456
2021-09-29 11:39:37.704596 : Epoch  9, Batch    879, Loss  0.868224, Average Loss  0.869874, Time  0.445614
2021-09-29 11:39:43.342324 : Epoch  9, Batch    880, Loss  0.875827, Average Loss  0.869919, Time  0.444933
2021-09-29 11:39:49.058684 : Epoch  9, Batch    881, Loss  0.859334, Average Loss  0.869891, Time  0.445678
2021-09-29 11:39:54.754279 : Epoch  9, Batch    882, Loss  0.865715, Average Loss  0.869819, Time  0.444857
2021-09-29 11:40:00.292160 : Epoch  9, Batch    883, Loss  0.868053, Average Loss  0.869773, Time  0.443669
2021-09-29 11:40:05.735178 : Epoch  9, Batch    884, Loss  0.873344, Average Loss  0.869703, Time  0.444283
2021-09-29 11:40:11.447787 : Epoch  9, Batch    885, Loss  0.873455, Average Loss  0.869739, Time  0.442097
2021-09-29 11:40:16.922986 : Epoch  9, Batch    886, Loss  0.858398, Average Loss  0.869732, Time  0.452522
2021-09-29 11:40:22.609429 : Epoch  9, Batch    887, Loss  0.861178, Average Loss  0.869680, Time  0.443870
2021-09-29 11:40:28.281635 : Epoch  9, Batch    888, Loss  0.858703, Average Loss  0.869607, Time  0.442538
2021-09-29 11:40:33.864117 : Epoch  9, Batch    889, Loss  0.878648, Average Loss  0.869702, Time  0.443784
2021-09-29 11:40:39.536939 : Epoch  9, Batch    890, Loss  0.886102, Average Loss  0.869767, Time  0.444040
2021-09-29 11:40:45.016348 : Epoch  9, Batch    891, Loss  0.865563, Average Loss  0.869762, Time  0.445065
2021-09-29 11:40:50.604621 : Epoch  9, Batch    892, Loss  0.860813, Average Loss  0.869728, Time  0.444371
2021-09-29 11:40:56.151641 : Epoch  9, Batch    893, Loss  0.868809, Average Loss  0.869748, Time  0.443827
2021-09-29 11:41:01.765920 : Epoch  9, Batch    894, Loss  0.864972, Average Loss  0.869736, Time  0.457880
2021-09-29 11:41:07.400630 : Epoch  9, Batch    895, Loss  0.875073, Average Loss  0.869713, Time  0.443829
2021-09-29 11:41:13.092407 : Epoch  9, Batch    896, Loss  0.875964, Average Loss  0.869742, Time  0.444403
2021-09-29 11:41:18.823174 : Epoch  9, Batch    897, Loss  0.878713, Average Loss  0.869646, Time  0.444199
2021-09-29 11:41:24.488331 : Epoch  9, Batch    898, Loss  0.859356, Average Loss  0.869545, Time  0.445341
2021-09-29 11:41:30.211529 : Epoch  9, Batch    899, Loss  0.885465, Average Loss  0.869671, Time  0.444501
2021-09-29 11:41:35.835830 : Epoch  9, Batch    900, Loss  0.860650, Average Loss  0.869606, Time  0.444757
2021-09-29 11:41:41.441958 : Epoch  9, Batch    901, Loss  0.880183, Average Loss  0.869592, Time  0.441215
2021-09-29 11:41:46.829112 : Epoch  9, Batch    902, Loss  0.881855, Average Loss  0.869598, Time  0.449167
2021-09-29 11:41:52.416523 : Epoch  9, Batch    903, Loss  0.856106, Average Loss  0.869536, Time  0.441278
2021-09-29 11:41:58.077382 : Epoch  9, Batch    904, Loss  0.871902, Average Loss  0.869536, Time  0.443521
2021-09-29 11:42:03.692855 : Epoch  9, Batch    905, Loss  0.892000, Average Loss  0.869701, Time  0.444618
2021-09-29 11:42:09.354924 : Epoch  9, Batch    906, Loss  0.864528, Average Loss  0.869678, Time  0.444886
2021-09-29 11:42:14.975342 : Epoch  9, Batch    907, Loss  0.872795, Average Loss  0.869671, Time  0.444494
2021-09-29 11:42:20.567074 : Epoch  9, Batch    908, Loss  0.868755, Average Loss  0.869685, Time  0.442127
2021-09-29 11:42:26.192448 : Epoch  9, Batch    909, Loss  0.869508, Average Loss  0.869686, Time  0.444915
2021-09-29 11:42:31.803639 : Epoch  9, Batch    910, Loss  0.848638, Average Loss  0.869695, Time  0.452823
2021-09-29 11:42:37.160476 : Epoch  9, Batch    911, Loss  0.870961, Average Loss  0.869697, Time  0.443846
2021-09-29 11:42:42.496962 : Epoch  9, Batch    912, Loss  0.874150, Average Loss  0.869720, Time  0.442848
2021-09-29 11:42:47.884228 : Epoch  9, Batch    913, Loss  0.877162, Average Loss  0.869845, Time  0.443678
2021-09-29 11:42:53.563728 : Epoch  9, Batch    914, Loss  0.864494, Average Loss  0.869837, Time  0.442749
2021-09-29 11:42:59.270098 : Epoch  9, Batch    915, Loss  0.861073, Average Loss  0.869779, Time  0.443972
2021-09-29 11:43:04.860362 : Epoch  9, Batch    916, Loss  0.874793, Average Loss  0.869757, Time  0.439859
2021-09-29 11:43:10.210804 : Epoch  9, Batch    917, Loss  0.864445, Average Loss  0.869775, Time  0.442438
2021-09-29 11:43:15.829040 : Epoch  9, Batch    918, Loss  0.865708, Average Loss  0.869770, Time  0.444829
2021-09-29 11:43:21.413763 : Epoch  9, Batch    919, Loss  0.853593, Average Loss  0.869652, Time  0.451086
2021-09-29 11:43:27.066522 : Epoch  9, Batch    920, Loss  0.862309, Average Loss  0.869631, Time  0.445285
2021-09-29 11:43:32.481768 : Epoch  9, Batch    921, Loss  0.870928, Average Loss  0.869613, Time  0.441522
2021-09-29 11:43:37.918924 : Epoch  9, Batch    922, Loss  0.874332, Average Loss  0.869602, Time  0.442909
2021-09-29 11:43:43.541784 : Epoch  9, Batch    923, Loss  0.884697, Average Loss  0.869638, Time  0.441865
2021-09-29 11:43:49.178703 : Epoch  9, Batch    924, Loss  0.866029, Average Loss  0.869611, Time  0.443351
2021-09-29 11:43:54.888021 : Epoch  9, Batch    925, Loss  0.851222, Average Loss  0.869463, Time  0.443940
2021-09-29 11:44:00.453815 : Epoch  9, Batch    926, Loss  0.859020, Average Loss  0.869485, Time  0.443531
2021-09-29 11:44:06.034840 : Epoch  9, Batch    927, Loss  0.856712, Average Loss  0.869452, Time  0.444448
2021-09-29 11:44:11.787075 : Epoch  9, Batch    928, Loss  0.864598, Average Loss  0.869429, Time  0.458033
2021-09-29 11:44:11.812338 : Saving Model after 9-th Epoch.
2021-09-29 11:44:12.600489 : Epoch Finished.
2021-09-29 11:44:18.314157 : Batch Shuffled
2021-09-29 11:44:23.972995 : Epoch 10, Batch      1, Loss  0.874471, Average Loss  0.869431, Time  0.442329
2021-09-29 11:44:29.440859 : Epoch 10, Batch      2, Loss  0.858020, Average Loss  0.869329, Time  0.444216
2021-09-29 11:44:34.966799 : Epoch 10, Batch      3, Loss  0.886517, Average Loss  0.869359, Time  0.440273
2021-09-29 11:44:40.325341 : Epoch 10, Batch      4, Loss  0.873959, Average Loss  0.869347, Time  0.442702
2021-09-29 11:44:45.955662 : Epoch 10, Batch      5, Loss  0.877658, Average Loss  0.869375, Time  0.444008
2021-09-29 11:44:51.455022 : Epoch 10, Batch      6, Loss  0.863821, Average Loss  0.869392, Time  0.443792
2021-09-29 11:44:57.136347 : Epoch 10, Batch      7, Loss  0.882265, Average Loss  0.869449, Time  0.453028
2021-09-29 11:45:02.618477 : Epoch 10, Batch      8, Loss  0.853244, Average Loss  0.869314, Time  0.442565
2021-09-29 11:45:08.071736 : Epoch 10, Batch      9, Loss  0.873903, Average Loss  0.869309, Time  0.443561
2021-09-29 11:45:13.813069 : Epoch 10, Batch     10, Loss  0.866586, Average Loss  0.869269, Time  0.445163
2021-09-29 11:45:19.472775 : Epoch 10, Batch     11, Loss  0.874160, Average Loss  0.869328, Time  0.444925
2021-09-29 11:45:25.097226 : Epoch 10, Batch     12, Loss  0.894194, Average Loss  0.869440, Time  0.445307
2021-09-29 11:45:30.838055 : Epoch 10, Batch     13, Loss  0.867976, Average Loss  0.869437, Time  0.444282
2021-09-29 11:45:36.463025 : Epoch 10, Batch     14, Loss  0.874930, Average Loss  0.869425, Time  0.444298
2021-09-29 11:45:42.160025 : Epoch 10, Batch     15, Loss  0.856083, Average Loss  0.869294, Time  0.458628
2021-09-29 11:45:47.642820 : Epoch 10, Batch     16, Loss  0.877757, Average Loss  0.869340, Time  0.444635
2021-09-29 11:45:53.354004 : Epoch 10, Batch     17, Loss  0.881403, Average Loss  0.869484, Time  0.443673
2021-09-29 11:45:58.888077 : Epoch 10, Batch     18, Loss  0.866495, Average Loss  0.869437, Time  0.442932
2021-09-29 11:46:04.454038 : Epoch 10, Batch     19, Loss  0.857943, Average Loss  0.869466, Time  0.445490
2021-09-29 11:46:10.140326 : Epoch 10, Batch     20, Loss  0.871211, Average Loss  0.869469, Time  0.444804
2021-09-29 11:46:15.870611 : Epoch 10, Batch     21, Loss  0.865807, Average Loss  0.869402, Time  0.444054
2021-09-29 11:46:21.577359 : Epoch 10, Batch     22, Loss  0.892186, Average Loss  0.869547, Time  0.444211
2021-09-29 11:46:27.103323 : Epoch 10, Batch     23, Loss  0.863136, Average Loss  0.869609, Time  0.459005
2021-09-29 11:46:32.793549 : Epoch 10, Batch     24, Loss  0.866866, Average Loss  0.869584, Time  0.443445
2021-09-29 11:46:38.350720 : Epoch 10, Batch     25, Loss  0.878008, Average Loss  0.869642, Time  0.443498
2021-09-29 11:46:43.849761 : Epoch 10, Batch     26, Loss  0.863795, Average Loss  0.869522, Time  0.444164
2021-09-29 11:46:49.567315 : Epoch 10, Batch     27, Loss  0.882555, Average Loss  0.869591, Time  0.444335
2021-09-29 11:46:55.253495 : Epoch 10, Batch     28, Loss  0.874620, Average Loss  0.869584, Time  0.445335
2021-09-29 11:47:00.955435 : Epoch 10, Batch     29, Loss  0.858897, Average Loss  0.869536, Time  0.444379
2021-09-29 11:47:06.717787 : Epoch 10, Batch     30, Loss  0.866291, Average Loss  0.869468, Time  0.444081
2021-09-29 11:47:12.446481 : Epoch 10, Batch     31, Loss  0.870850, Average Loss  0.869375, Time  0.454939
2021-09-29 11:47:18.026470 : Epoch 10, Batch     32, Loss  0.868040, Average Loss  0.869308, Time  0.444643
2021-09-29 11:47:23.595121 : Epoch 10, Batch     33, Loss  0.855563, Average Loss  0.869251, Time  0.445511
2021-09-29 11:47:29.306665 : Epoch 10, Batch     34, Loss  0.874004, Average Loss  0.869318, Time  0.444075
2021-09-29 11:47:34.908263 : Epoch 10, Batch     35, Loss  0.859210, Average Loss  0.869326, Time  0.443844
2021-09-29 11:47:40.549812 : Epoch 10, Batch     36, Loss  0.871621, Average Loss  0.869328, Time  0.443904
2021-09-29 11:47:46.183069 : Epoch 10, Batch     37, Loss  0.865438, Average Loss  0.869269, Time  0.446081
2021-09-29 11:47:51.686481 : Epoch 10, Batch     38, Loss  0.864804, Average Loss  0.869306, Time  0.442014
2021-09-29 11:47:57.113453 : Epoch 10, Batch     39, Loss  0.879487, Average Loss  0.869342, Time  0.452096
2021-09-29 11:48:02.652682 : Epoch 10, Batch     40, Loss  0.864183, Average Loss  0.869292, Time  0.440938
2021-09-29 11:48:08.229957 : Epoch 10, Batch     41, Loss  0.868143, Average Loss  0.869273, Time  0.444193
2021-09-29 11:48:13.927165 : Epoch 10, Batch     42, Loss  0.870525, Average Loss  0.869350, Time  0.444196
2021-09-29 11:48:19.664006 : Epoch 10, Batch     43, Loss  0.859148, Average Loss  0.869355, Time  0.444139
2021-09-29 11:48:25.380280 : Epoch 10, Batch     44, Loss  0.861823, Average Loss  0.869330, Time  0.444891
2021-09-29 11:48:31.037641 : Epoch 10, Batch     45, Loss  0.869262, Average Loss  0.869229, Time  0.443780
2021-09-29 11:48:36.752780 : Epoch 10, Batch     46, Loss  0.872144, Average Loss  0.869241, Time  0.443717
2021-09-29 11:48:42.507766 : Epoch 10, Batch     47, Loss  0.878546, Average Loss  0.869329, Time  0.458124
2021-09-29 11:48:48.232362 : Epoch 10, Batch     48, Loss  0.859597, Average Loss  0.869291, Time  0.445723
2021-09-29 11:53:10.774373 : CheckPoint: Validation Loss  0.00015481, Best Loss  0.00014870
2021-09-29 11:53:16.690681 : Epoch 10, Batch     49, Loss  0.856723, Average Loss  0.869162, Time  0.446143
2021-09-29 11:53:22.619322 : Epoch 10, Batch     50, Loss  0.884868, Average Loss  0.869137, Time  0.458473
2021-09-29 11:53:28.548679 : Epoch 10, Batch     51, Loss  0.862208, Average Loss  0.869115, Time  0.444734
2021-09-29 11:53:34.470633 : Epoch 10, Batch     52, Loss  0.874070, Average Loss  0.869184, Time  0.445768
2021-09-29 11:53:40.382847 : Epoch 10, Batch     53, Loss  0.836745, Average Loss  0.868966, Time  0.444123
2021-09-29 11:53:46.305172 : Epoch 10, Batch     54, Loss  0.868322, Average Loss  0.869005, Time  0.448018
2021-09-29 11:53:52.238630 : Epoch 10, Batch     55, Loss  0.853487, Average Loss  0.869029, Time  0.448065
2021-09-29 11:53:58.158724 : Epoch 10, Batch     56, Loss  0.868982, Average Loss  0.869039, Time  0.448474
2021-09-29 11:54:04.086169 : Epoch 10, Batch     57, Loss  0.871683, Average Loss  0.869011, Time  0.445363
2021-09-29 11:54:10.039853 : Epoch 10, Batch     58, Loss  0.866768, Average Loss  0.868954, Time  0.468023
2021-09-29 11:54:15.959545 : Epoch 10, Batch     59, Loss  0.876492, Average Loss  0.868950, Time  0.445450
2021-09-29 11:54:21.887849 : Epoch 10, Batch     60, Loss  0.869283, Average Loss  0.869010, Time  0.445237
2021-09-29 11:54:27.796122 : Epoch 10, Batch     61, Loss  0.876556, Average Loss  0.869058, Time  0.444034
2021-09-29 11:54:33.730005 : Epoch 10, Batch     62, Loss  0.849585, Average Loss  0.868854, Time  0.448606
2021-09-29 11:54:39.662165 : Epoch 10, Batch     63, Loss  0.860217, Average Loss  0.868797, Time  0.443990
2021-09-29 11:54:45.577521 : Epoch 10, Batch     64, Loss  0.846518, Average Loss  0.868630, Time  0.444747
2021-09-29 11:54:51.495676 : Epoch 10, Batch     65, Loss  0.873998, Average Loss  0.868678, Time  0.444444
2021-09-29 11:54:57.435275 : Epoch 10, Batch     66, Loss  0.865517, Average Loss  0.868684, Time  0.453860
2021-09-29 11:55:03.356562 : Epoch 10, Batch     67, Loss  0.883936, Average Loss  0.868804, Time  0.444639
2021-09-29 11:55:09.275082 : Epoch 10, Batch     68, Loss  0.865513, Average Loss  0.868844, Time  0.444518
2021-09-29 11:55:15.210695 : Epoch 10, Batch     69, Loss  0.857115, Average Loss  0.868807, Time  0.448299
2021-09-29 11:55:21.112716 : Epoch 10, Batch     70, Loss  0.875294, Average Loss  0.868800, Time  0.445661
2021-09-29 11:55:27.032774 : Epoch 10, Batch     71, Loss  0.868022, Average Loss  0.868807, Time  0.445796
2021-09-29 11:55:32.959945 : Epoch 10, Batch     72, Loss  0.879153, Average Loss  0.868812, Time  0.445474
2021-09-29 11:55:38.877079 : Epoch 10, Batch     73, Loss  0.875704, Average Loss  0.868884, Time  0.444431
2021-09-29 11:55:44.832912 : Epoch 10, Batch     74, Loss  0.890587, Average Loss  0.868983, Time  0.463176
2021-09-29 11:55:50.777877 : Epoch 10, Batch     75, Loss  0.874241, Average Loss  0.869065, Time  0.447641
2021-09-29 11:55:56.695642 : Epoch 10, Batch     76, Loss  0.875334, Average Loss  0.869049, Time  0.445844
2021-09-29 11:56:02.625805 : Epoch 10, Batch     77, Loss  0.869817, Average Loss  0.869010, Time  0.446751
2021-09-29 11:56:08.566281 : Epoch 10, Batch     78, Loss  0.875983, Average Loss  0.869031, Time  0.446128
2021-09-29 11:56:14.495442 : Epoch 10, Batch     79, Loss  0.872236, Average Loss  0.869042, Time  0.447170
2021-09-29 11:56:20.416825 : Epoch 10, Batch     80, Loss  0.871976, Average Loss  0.869142, Time  0.446145
2021-09-29 11:56:26.351029 : Epoch 10, Batch     81, Loss  0.865157, Average Loss  0.869150, Time  0.450367
2021-09-29 11:56:32.276956 : Epoch 10, Batch     82, Loss  0.862634, Average Loss  0.869138, Time  0.462131
2021-09-29 11:56:38.216444 : Epoch 10, Batch     83, Loss  0.859595, Average Loss  0.869085, Time  0.446740
2021-09-29 11:56:44.133807 : Epoch 10, Batch     84, Loss  0.873796, Average Loss  0.869134, Time  0.445154
2021-09-29 11:56:50.057228 : Epoch 10, Batch     85, Loss  0.867077, Average Loss  0.869063, Time  0.446917
2021-09-29 11:56:55.993788 : Epoch 10, Batch     86, Loss  0.861637, Average Loss  0.869118, Time  0.445402
2021-09-29 11:57:01.925101 : Epoch 10, Batch     87, Loss  0.875931, Average Loss  0.869096, Time  0.447722
2021-09-29 11:57:07.856442 : Epoch 10, Batch     88, Loss  0.868831, Average Loss  0.869054, Time  0.446151
2021-09-29 11:57:13.780851 : Epoch 10, Batch     89, Loss  0.874830, Average Loss  0.869015, Time  0.446933
2021-09-29 11:57:19.709316 : Epoch 10, Batch     90, Loss  0.861071, Average Loss  0.868953, Time  0.460157
2021-09-29 11:57:25.645997 : Epoch 10, Batch     91, Loss  0.861472, Average Loss  0.869005, Time  0.444754
2021-09-29 11:57:31.568608 : Epoch 10, Batch     92, Loss  0.861188, Average Loss  0.869026, Time  0.447405
2021-09-29 11:57:37.519764 : Epoch 10, Batch     93, Loss  0.878845, Average Loss  0.869069, Time  0.446737
2021-09-29 11:57:43.446428 : Epoch 10, Batch     94, Loss  0.868044, Average Loss  0.868994, Time  0.446154
2021-09-29 11:57:49.365351 : Epoch 10, Batch     95, Loss  0.867691, Average Loss  0.869037, Time  0.446892
2021-09-29 11:57:55.301347 : Epoch 10, Batch     96, Loss  0.861612, Average Loss  0.868984, Time  0.444970
2021-09-29 11:58:01.233322 : Epoch 10, Batch     97, Loss  0.870289, Average Loss  0.868967, Time  0.458631
2021-09-29 11:58:07.160352 : Epoch 10, Batch     98, Loss  0.865913, Average Loss  0.868947, Time  0.447322
2021-09-29 11:58:13.068329 : Epoch 10, Batch     99, Loss  0.882079, Average Loss  0.869057, Time  0.445016
2021-09-29 11:58:18.999497 : Epoch 10, Batch    100, Loss  0.867904, Average Loss  0.869088, Time  0.449282
2021-09-29 11:58:24.925771 : Epoch 10, Batch    101, Loss  0.855328, Average Loss  0.868982, Time  0.444972
2021-09-29 11:58:30.854773 : Epoch 10, Batch    102, Loss  0.858561, Average Loss  0.868953, Time  0.445861
2021-09-29 11:58:36.781654 : Epoch 10, Batch    103, Loss  0.867690, Average Loss  0.868861, Time  0.444784
2021-09-29 11:58:42.714968 : Epoch 10, Batch    104, Loss  0.865291, Average Loss  0.868803, Time  0.445805
2021-09-29 11:58:48.653607 : Epoch 10, Batch    105, Loss  0.865385, Average Loss  0.868857, Time  0.459208
2021-09-29 11:58:54.575053 : Epoch 10, Batch    106, Loss  0.869571, Average Loss  0.868878, Time  0.444690
2021-09-29 11:59:00.499460 : Epoch 10, Batch    107, Loss  0.859748, Average Loss  0.868804, Time  0.445087
2021-09-29 11:59:06.444406 : Epoch 10, Batch    108, Loss  0.868525, Average Loss  0.868843, Time  0.444569
2021-09-29 11:59:12.373505 : Epoch 10, Batch    109, Loss  0.857092, Average Loss  0.868742, Time  0.447172
2021-09-29 11:59:18.300050 : Epoch 10, Batch    110, Loss  0.856626, Average Loss  0.868744, Time  0.444576
2021-09-29 11:59:24.222858 : Epoch 10, Batch    111, Loss  0.863182, Average Loss  0.868685, Time  0.444278
2021-09-29 11:59:30.144613 : Epoch 10, Batch    112, Loss  0.865663, Average Loss  0.868639, Time  0.446994
2021-09-29 11:59:36.102647 : Epoch 10, Batch    113, Loss  0.876519, Average Loss  0.868729, Time  0.459584
2021-09-29 11:59:42.024274 : Epoch 10, Batch    114, Loss  0.877853, Average Loss  0.868674, Time  0.444373
2021-09-29 11:59:47.946871 : Epoch 10, Batch    115, Loss  0.859579, Average Loss  0.868607, Time  0.445647
2021-09-29 11:59:53.873727 : Epoch 10, Batch    116, Loss  0.892943, Average Loss  0.868708, Time  0.445628
2021-09-29 11:59:59.816450 : Epoch 10, Batch    117, Loss  0.871803, Average Loss  0.868794, Time  0.445823
2021-09-29 12:00:05.758150 : Epoch 10, Batch    118, Loss  0.870767, Average Loss  0.868758, Time  0.445284
2021-09-29 12:00:11.681463 : Epoch 10, Batch    119, Loss  0.871943, Average Loss  0.868771, Time  0.448670
2021-09-29 12:00:17.606802 : Epoch 10, Batch    120, Loss  0.867332, Average Loss  0.868853, Time  0.444703
2021-09-29 12:00:23.532210 : Epoch 10, Batch    121, Loss  0.854592, Average Loss  0.868793, Time  0.461210
2021-09-29 12:00:29.454867 : Epoch 10, Batch    122, Loss  0.876038, Average Loss  0.868821, Time  0.445322
2021-09-29 12:00:35.380754 : Epoch 10, Batch    123, Loss  0.869731, Average Loss  0.868913, Time  0.446073
2021-09-29 12:00:41.313057 : Epoch 10, Batch    124, Loss  0.868331, Average Loss  0.868960, Time  0.445593
2021-09-29 12:00:47.245183 : Epoch 10, Batch    125, Loss  0.864004, Average Loss  0.868971, Time  0.445709
2021-09-29 12:00:53.173863 : Epoch 10, Batch    126, Loss  0.868918, Average Loss  0.868922, Time  0.445722
2021-09-29 12:00:59.093055 : Epoch 10, Batch    127, Loss  0.879511, Average Loss  0.868946, Time  0.446867
2021-09-29 12:01:05.004555 : Epoch 10, Batch    128, Loss  0.855501, Average Loss  0.868857, Time  0.444209
2021-09-29 12:01:10.943787 : Epoch 10, Batch    129, Loss  0.878259, Average Loss  0.868847, Time  0.454741
2021-09-29 12:01:16.856492 : Epoch 10, Batch    130, Loss  0.871487, Average Loss  0.868862, Time  0.444900
2021-09-29 12:01:22.779783 : Epoch 10, Batch    131, Loss  0.856076, Average Loss  0.868854, Time  0.445736
2021-09-29 12:01:28.717446 : Epoch 10, Batch    132, Loss  0.878383, Average Loss  0.868926, Time  0.445603
2021-09-29 12:01:34.630142 : Epoch 10, Batch    133, Loss  0.865438, Average Loss  0.868898, Time  0.445305
2021-09-29 12:01:40.551844 : Epoch 10, Batch    134, Loss  0.863236, Average Loss  0.868809, Time  0.444149
2021-09-29 12:01:46.459559 : Epoch 10, Batch    135, Loss  0.865805, Average Loss  0.868733, Time  0.445742
2021-09-29 12:01:52.381893 : Epoch 10, Batch    136, Loss  0.860858, Average Loss  0.868623, Time  0.445708
2021-09-29 12:01:58.331958 : Epoch 10, Batch    137, Loss  0.879741, Average Loss  0.868675, Time  0.461247
2021-09-29 12:02:04.257714 : Epoch 10, Batch    138, Loss  0.868605, Average Loss  0.868710, Time  0.446985
2021-09-29 12:02:10.174306 : Epoch 10, Batch    139, Loss  0.871618, Average Loss  0.868753, Time  0.445129
2021-09-29 12:02:16.102234 : Epoch 10, Batch    140, Loss  0.887911, Average Loss  0.868799, Time  0.446284
2021-09-29 12:02:22.025396 : Epoch 10, Batch    141, Loss  0.883594, Average Loss  0.868900, Time  0.446570
2021-09-29 12:02:27.934936 : Epoch 10, Batch    142, Loss  0.855205, Average Loss  0.868826, Time  0.447762
2021-09-29 12:02:33.860078 : Epoch 10, Batch    143, Loss  0.865873, Average Loss  0.868821, Time  0.445834
2021-09-29 12:02:39.774871 : Epoch 10, Batch    144, Loss  0.864671, Average Loss  0.868780, Time  0.449208
2021-09-29 12:02:45.695730 : Epoch 10, Batch    145, Loss  0.869336, Average Loss  0.868729, Time  0.457205
2021-09-29 12:02:51.603771 : Epoch 10, Batch    146, Loss  0.867361, Average Loss  0.868672, Time  0.444211
2021-09-29 12:02:57.534859 : Epoch 10, Batch    147, Loss  0.877206, Average Loss  0.868743, Time  0.444350
2021-09-29 12:03:03.478863 : Epoch 10, Batch    148, Loss  0.868093, Average Loss  0.868711, Time  0.450086
2021-09-29 12:07:41.246249 : CheckPoint: Validation Loss  0.00014688, Best Loss  0.00014688
2021-09-29 12:07:41.275577 : Best Model Updated
2021-09-29 12:07:48.015398 : Epoch 10, Batch    149, Loss  0.865733, Average Loss  0.868729, Time  0.446188
2021-09-29 12:07:53.945808 : Epoch 10, Batch    150, Loss  0.875821, Average Loss  0.868764, Time  0.444541
2021-09-29 12:07:59.865777 : Epoch 10, Batch    151, Loss  0.859639, Average Loss  0.868721, Time  0.444485
2021-09-29 12:08:05.798182 : Epoch 10, Batch    152, Loss  0.890109, Average Loss  0.868793, Time  0.461290
2021-09-29 12:08:11.729098 : Epoch 10, Batch    153, Loss  0.874272, Average Loss  0.868867, Time  0.445466
2021-09-29 12:08:17.661329 : Epoch 10, Batch    154, Loss  0.864952, Average Loss  0.868864, Time  0.447301
2021-09-29 12:08:23.567686 : Epoch 10, Batch    155, Loss  0.896237, Average Loss  0.869005, Time  0.444459
2021-09-29 12:08:29.486620 : Epoch 10, Batch    156, Loss  0.882816, Average Loss  0.869052, Time  0.448257
2021-09-29 12:08:35.429695 : Epoch 10, Batch    157, Loss  0.867786, Average Loss  0.869024, Time  0.444922
2021-09-29 12:08:41.350049 : Epoch 10, Batch    158, Loss  0.879198, Average Loss  0.869128, Time  0.445848
2021-09-29 12:08:47.278814 : Epoch 10, Batch    159, Loss  0.865883, Average Loss  0.869151, Time  0.445485
2021-09-29 12:08:53.211104 : Epoch 10, Batch    160, Loss  0.864085, Average Loss  0.869178, Time  0.454175
2021-09-29 12:08:59.126767 : Epoch 10, Batch    161, Loss  0.874447, Average Loss  0.869157, Time  0.444787
2021-09-29 12:09:05.051965 : Epoch 10, Batch    162, Loss  0.870579, Average Loss  0.869079, Time  0.445692
2021-09-29 12:09:10.976223 : Epoch 10, Batch    163, Loss  0.876059, Average Loss  0.869132, Time  0.446852
2021-09-29 12:09:16.878858 : Epoch 10, Batch    164, Loss  0.868817, Average Loss  0.869172, Time  0.446261
2021-09-29 12:09:22.806012 : Epoch 10, Batch    165, Loss  0.868659, Average Loss  0.869171, Time  0.445846
2021-09-29 12:09:28.727541 : Epoch 10, Batch    166, Loss  0.870013, Average Loss  0.869196, Time  0.445335
2021-09-29 12:09:34.625985 : Epoch 10, Batch    167, Loss  0.870759, Average Loss  0.869175, Time  0.445802
2021-09-29 12:09:40.554576 : Epoch 10, Batch    168, Loss  0.876014, Average Loss  0.869175, Time  0.462746
2021-09-29 12:09:46.493129 : Epoch 10, Batch    169, Loss  0.883670, Average Loss  0.869200, Time  0.445333
2021-09-29 12:09:52.400125 : Epoch 10, Batch    170, Loss  0.857718, Average Loss  0.869192, Time  0.444229
2021-09-29 12:09:58.317334 : Epoch 10, Batch    171, Loss  0.842595, Average Loss  0.868977, Time  0.446748
2021-09-29 12:10:04.231033 : Epoch 10, Batch    172, Loss  0.868961, Average Loss  0.869019, Time  0.448208
2021-09-29 12:10:10.152881 : Epoch 10, Batch    173, Loss  0.872450, Average Loss  0.868980, Time  0.444193
2021-09-29 12:10:16.090091 : Epoch 10, Batch    174, Loss  0.847463, Average Loss  0.868808, Time  0.444897
2021-09-29 12:10:21.999750 : Epoch 10, Batch    175, Loss  0.865402, Average Loss  0.868855, Time  0.446689
2021-09-29 12:10:27.933020 : Epoch 10, Batch    176, Loss  0.868229, Average Loss  0.868836, Time  0.462639
2021-09-29 12:10:33.833950 : Epoch 10, Batch    177, Loss  0.875838, Average Loss  0.868756, Time  0.446394
2021-09-29 12:10:39.758127 : Epoch 10, Batch    178, Loss  0.884591, Average Loss  0.868856, Time  0.444994
2021-09-29 12:10:45.670671 : Epoch 10, Batch    179, Loss  0.876532, Average Loss  0.868875, Time  0.447654
2021-09-29 12:10:51.601049 : Epoch 10, Batch    180, Loss  0.886389, Average Loss  0.868963, Time  0.446109
2021-09-29 12:10:57.506228 : Epoch 10, Batch    181, Loss  0.864820, Average Loss  0.868939, Time  0.445595
2021-09-29 12:11:03.431847 : Epoch 10, Batch    182, Loss  0.886829, Average Loss  0.869130, Time  0.445039
2021-09-29 12:11:09.364791 : Epoch 10, Batch    183, Loss  0.868737, Average Loss  0.869119, Time  0.446084
2021-09-29 12:11:15.277202 : Epoch 10, Batch    184, Loss  0.874420, Average Loss  0.869120, Time  0.450527
2021-09-29 12:11:21.189873 : Epoch 10, Batch    185, Loss  0.870544, Average Loss  0.869087, Time  0.445127
2021-09-29 12:11:27.134763 : Epoch 10, Batch    186, Loss  0.871420, Average Loss  0.869122, Time  0.444675
2021-09-29 12:11:33.063786 : Epoch 10, Batch    187, Loss  0.867151, Average Loss  0.869152, Time  0.444478
2021-09-29 12:11:38.971510 : Epoch 10, Batch    188, Loss  0.858785, Average Loss  0.869072, Time  0.445014
2021-09-29 12:11:44.897980 : Epoch 10, Batch    189, Loss  0.887609, Average Loss  0.869188, Time  0.450405
2021-09-29 12:11:50.814363 : Epoch 10, Batch    190, Loss  0.880130, Average Loss  0.869260, Time  0.446947
2021-09-29 12:11:56.755424 : Epoch 10, Batch    191, Loss  0.872359, Average Loss  0.869354, Time  0.444210
2021-09-29 12:12:02.686971 : Epoch 10, Batch    192, Loss  0.874151, Average Loss  0.869413, Time  0.458117
2021-09-29 12:12:08.616101 : Epoch 10, Batch    193, Loss  0.888693, Average Loss  0.869502, Time  0.445133
2021-09-29 12:12:14.523716 : Epoch 10, Batch    194, Loss  0.867039, Average Loss  0.869466, Time  0.445419
2021-09-29 12:12:20.451443 : Epoch 10, Batch    195, Loss  0.860978, Average Loss  0.869347, Time  0.444093
2021-09-29 12:12:26.364825 : Epoch 10, Batch    196, Loss  0.871770, Average Loss  0.869376, Time  0.443899
2021-09-29 12:12:32.276231 : Epoch 10, Batch    197, Loss  0.877856, Average Loss  0.869509, Time  0.445040
2021-09-29 12:12:38.208287 : Epoch 10, Batch    198, Loss  0.867897, Average Loss  0.869553, Time  0.444901
2021-09-29 12:12:44.126758 : Epoch 10, Batch    199, Loss  0.871723, Average Loss  0.869628, Time  0.444811
2021-09-29 12:12:50.077333 : Epoch 10, Batch    200, Loss  0.870725, Average Loss  0.869659, Time  0.460744
2021-09-29 12:12:56.001398 : Epoch 10, Batch    201, Loss  0.877550, Average Loss  0.869674, Time  0.445082
2021-09-29 12:13:01.921859 : Epoch 10, Batch    202, Loss  0.874250, Average Loss  0.869756, Time  0.445866
2021-09-29 12:13:07.819248 : Epoch 10, Batch    203, Loss  0.861012, Average Loss  0.869628, Time  0.445088
2021-09-29 12:13:13.744500 : Epoch 10, Batch    204, Loss  0.864730, Average Loss  0.869582, Time  0.448189
2021-09-29 12:13:19.671474 : Epoch 10, Batch    205, Loss  0.868362, Average Loss  0.869535, Time  0.444946
2021-09-29 12:13:25.601817 : Epoch 10, Batch    206, Loss  0.857749, Average Loss  0.869505, Time  0.447812
2021-09-29 12:13:31.517057 : Epoch 10, Batch    207, Loss  0.864366, Average Loss  0.869416, Time  0.447088
2021-09-29 12:13:37.438372 : Epoch 10, Batch    208, Loss  0.867980, Average Loss  0.869489, Time  0.456716
2021-09-29 12:13:43.356646 : Epoch 10, Batch    209, Loss  0.862058, Average Loss  0.869430, Time  0.449760
2021-09-29 12:13:49.271881 : Epoch 10, Batch    210, Loss  0.887147, Average Loss  0.869533, Time  0.444635
2021-09-29 12:13:55.211917 : Epoch 10, Batch    211, Loss  0.860272, Average Loss  0.869463, Time  0.446140
2021-09-29 12:14:01.118399 : Epoch 10, Batch    212, Loss  0.875079, Average Loss  0.869368, Time  0.445762
2021-09-29 12:14:07.031707 : Epoch 10, Batch    213, Loss  0.874593, Average Loss  0.869401, Time  0.447354
2021-09-29 12:14:12.952217 : Epoch 10, Batch    214, Loss  0.868537, Average Loss  0.869369, Time  0.445530
2021-09-29 12:14:18.855046 : Epoch 10, Batch    215, Loss  0.863321, Average Loss  0.869405, Time  0.444319
2021-09-29 12:14:24.792720 : Epoch 10, Batch    216, Loss  0.874328, Average Loss  0.869388, Time  0.451324
2021-09-29 12:14:30.719168 : Epoch 10, Batch    217, Loss  0.877973, Average Loss  0.869371, Time  0.447956
2021-09-29 12:14:36.641916 : Epoch 10, Batch    218, Loss  0.864410, Average Loss  0.869360, Time  0.444478
2021-09-29 12:14:42.565151 : Epoch 10, Batch    219, Loss  0.875341, Average Loss  0.869447, Time  0.445294
2021-09-29 12:14:48.485794 : Epoch 10, Batch    220, Loss  0.875147, Average Loss  0.869467, Time  0.446531
2021-09-29 12:14:54.420003 : Epoch 10, Batch    221, Loss  0.870352, Average Loss  0.869490, Time  0.448225
2021-09-29 12:15:00.340354 : Epoch 10, Batch    222, Loss  0.852030, Average Loss  0.869289, Time  0.446298
2021-09-29 12:15:06.264248 : Epoch 10, Batch    223, Loss  0.871047, Average Loss  0.869329, Time  0.448205
2021-09-29 12:15:12.190495 : Epoch 10, Batch    224, Loss  0.874688, Average Loss  0.869368, Time  0.456724
2021-09-29 12:15:18.093643 : Epoch 10, Batch    225, Loss  0.874937, Average Loss  0.869352, Time  0.444020
2021-09-29 12:15:24.028875 : Epoch 10, Batch    226, Loss  0.867368, Average Loss  0.869370, Time  0.447790
2021-09-29 12:15:29.952509 : Epoch 10, Batch    227, Loss  0.869363, Average Loss  0.869304, Time  0.444527
2021-09-29 12:15:35.871739 : Epoch 10, Batch    228, Loss  0.867989, Average Loss  0.869271, Time  0.444435
2021-09-29 12:15:41.795777 : Epoch 10, Batch    229, Loss  0.864272, Average Loss  0.869298, Time  0.447269
2021-09-29 12:15:47.704368 : Epoch 10, Batch    230, Loss  0.886261, Average Loss  0.869398, Time  0.445718
2021-09-29 12:15:53.623117 : Epoch 10, Batch    231, Loss  0.871658, Average Loss  0.869402, Time  0.443651
2021-09-29 12:15:59.550123 : Epoch 10, Batch    232, Loss  0.874804, Average Loss  0.869436, Time  0.456310
2021-09-29 12:16:05.457830 : Epoch 10, Batch    233, Loss  0.854000, Average Loss  0.869428, Time  0.445161
2021-09-29 12:16:11.369075 : Epoch 10, Batch    234, Loss  0.856614, Average Loss  0.869341, Time  0.444229
2021-09-29 12:16:17.292575 : Epoch 10, Batch    235, Loss  0.867375, Average Loss  0.869382, Time  0.446068
2021-09-29 12:16:23.201541 : Epoch 10, Batch    236, Loss  0.865230, Average Loss  0.869350, Time  0.452179
2021-09-29 12:16:29.117781 : Epoch 10, Batch    237, Loss  0.875226, Average Loss  0.869399, Time  0.446031
2021-09-29 12:16:35.039106 : Epoch 10, Batch    238, Loss  0.864650, Average Loss  0.869398, Time  0.445746
2021-09-29 12:16:40.961766 : Epoch 10, Batch    239, Loss  0.870467, Average Loss  0.869353, Time  0.444854
2021-09-29 12:16:46.906647 : Epoch 10, Batch    240, Loss  0.857566, Average Loss  0.869320, Time  0.462664
2021-09-29 12:16:52.828729 : Epoch 10, Batch    241, Loss  0.870499, Average Loss  0.869332, Time  0.444494
2021-09-29 12:16:58.756835 : Epoch 10, Batch    242, Loss  0.876068, Average Loss  0.869359, Time  0.446952
2021-09-29 12:17:04.677163 : Epoch 10, Batch    243, Loss  0.866581, Average Loss  0.869396, Time  0.446970
2021-09-29 12:17:10.598383 : Epoch 10, Batch    244, Loss  0.871432, Average Loss  0.869444, Time  0.446585
2021-09-29 12:17:16.522756 : Epoch 10, Batch    245, Loss  0.872364, Average Loss  0.869460, Time  0.444176
2021-09-29 12:17:22.443899 : Epoch 10, Batch    246, Loss  0.863462, Average Loss  0.869417, Time  0.444398
2021-09-29 12:17:28.351788 : Epoch 10, Batch    247, Loss  0.856005, Average Loss  0.869304, Time  0.447035
2021-09-29 12:17:34.278719 : Epoch 10, Batch    248, Loss  0.887652, Average Loss  0.869444, Time  0.454400
2021-09-29 12:22:11.519447 : CheckPoint: Validation Loss  0.00015144, Best Loss  0.00014688
2021-09-29 12:22:17.444839 : Epoch 10, Batch    249, Loss  0.865917, Average Loss  0.869490, Time  0.445088
2021-09-29 12:22:23.354810 : Epoch 10, Batch    250, Loss  0.877618, Average Loss  0.869454, Time  0.446663
2021-09-29 12:22:29.271177 : Epoch 10, Batch    251, Loss  0.877920, Average Loss  0.869532, Time  0.446777
2021-09-29 12:22:35.206157 : Epoch 10, Batch    252, Loss  0.859005, Average Loss  0.869457, Time  0.449228
2021-09-29 12:22:41.124795 : Epoch 10, Batch    253, Loss  0.886307, Average Loss  0.869705, Time  0.446514
2021-09-29 12:22:47.036438 : Epoch 10, Batch    254, Loss  0.880192, Average Loss  0.869764, Time  0.446939
2021-09-29 12:22:52.969777 : Epoch 10, Batch    255, Loss  0.873383, Average Loss  0.869864, Time  0.454724
2021-09-29 12:22:58.897772 : Epoch 10, Batch    256, Loss  0.870840, Average Loss  0.869873, Time  0.446245
2021-09-29 12:23:04.821027 : Epoch 10, Batch    257, Loss  0.880612, Average Loss  0.869918, Time  0.447564
2021-09-29 12:23:10.745386 : Epoch 10, Batch    258, Loss  0.858688, Average Loss  0.869877, Time  0.446668
2021-09-29 12:23:16.663242 : Epoch 10, Batch    259, Loss  0.874448, Average Loss  0.869867, Time  0.444741
2021-09-29 12:23:22.587084 : Epoch 10, Batch    260, Loss  0.874865, Average Loss  0.869895, Time  0.445605
2021-09-29 12:23:28.504782 : Epoch 10, Batch    261, Loss  0.864601, Average Loss  0.869835, Time  0.444876
2021-09-29 12:23:34.431179 : Epoch 10, Batch    262, Loss  0.870813, Average Loss  0.869941, Time  0.445569
2021-09-29 12:23:40.385784 : Epoch 10, Batch    263, Loss  0.874927, Average Loss  0.870015, Time  0.457839
2021-09-29 12:23:46.301748 : Epoch 10, Batch    264, Loss  0.866832, Average Loss  0.870116, Time  0.446212
2021-09-29 12:23:52.216743 : Epoch 10, Batch    265, Loss  0.881588, Average Loss  0.870154, Time  0.444088
2021-09-29 12:23:58.145751 : Epoch 10, Batch    266, Loss  0.858403, Average Loss  0.870119, Time  0.450395
2021-09-29 12:24:04.071903 : Epoch 10, Batch    267, Loss  0.880083, Average Loss  0.870100, Time  0.444363
2021-09-29 12:24:09.984149 : Epoch 10, Batch    268, Loss  0.862125, Average Loss  0.870083, Time  0.444511
2021-09-29 12:24:15.901501 : Epoch 10, Batch    269, Loss  0.880955, Average Loss  0.870202, Time  0.445109
2021-09-29 12:24:21.835619 : Epoch 10, Batch    270, Loss  0.875161, Average Loss  0.870201, Time  0.445109
2021-09-29 12:24:27.755461 : Epoch 10, Batch    271, Loss  0.880419, Average Loss  0.870263, Time  0.454936
2021-09-29 12:24:33.668777 : Epoch 10, Batch    272, Loss  0.867660, Average Loss  0.870206, Time  0.445192
2021-09-29 12:24:39.608773 : Epoch 10, Batch    273, Loss  0.877849, Average Loss  0.870216, Time  0.446080
2021-09-29 12:24:45.522261 : Epoch 10, Batch    274, Loss  0.875589, Average Loss  0.870141, Time  0.445603
2021-09-29 12:24:51.432785 : Epoch 10, Batch    275, Loss  0.888043, Average Loss  0.870210, Time  0.447754
2021-09-29 12:24:57.359450 : Epoch 10, Batch    276, Loss  0.875175, Average Loss  0.870210, Time  0.445357
2021-09-29 12:25:03.277390 : Epoch 10, Batch    277, Loss  0.863493, Average Loss  0.870178, Time  0.445535
2021-09-29 12:25:09.188920 : Epoch 10, Batch    278, Loss  0.874105, Average Loss  0.870169, Time  0.444444
2021-09-29 12:25:15.119746 : Epoch 10, Batch    279, Loss  0.868693, Average Loss  0.870151, Time  0.459703
2021-09-29 12:25:21.053427 : Epoch 10, Batch    280, Loss  0.876179, Average Loss  0.870172, Time  0.444341
2021-09-29 12:25:26.981115 : Epoch 10, Batch    281, Loss  0.879625, Average Loss  0.870244, Time  0.444195
2021-09-29 12:25:32.908925 : Epoch 10, Batch    282, Loss  0.864932, Average Loss  0.870256, Time  0.444549
2021-09-29 12:25:38.843590 : Epoch 10, Batch    283, Loss  0.861286, Average Loss  0.870264, Time  0.445302
2021-09-29 12:25:44.772452 : Epoch 10, Batch    284, Loss  0.860534, Average Loss  0.870198, Time  0.445325
2021-09-29 12:25:50.704296 : Epoch 10, Batch    285, Loss  0.873547, Average Loss  0.870230, Time  0.445635
2021-09-29 12:25:56.625054 : Epoch 10, Batch    286, Loss  0.857461, Average Loss  0.870209, Time  0.444656
2021-09-29 12:26:02.570642 : Epoch 10, Batch    287, Loss  0.865504, Average Loss  0.870157, Time  0.461435
2021-09-29 12:26:08.473471 : Epoch 10, Batch    288, Loss  0.866763, Average Loss  0.870147, Time  0.446731
2021-09-29 12:26:14.403090 : Epoch 10, Batch    289, Loss  0.860666, Average Loss  0.870076, Time  0.450514
2021-09-29 12:26:20.326975 : Epoch 10, Batch    290, Loss  0.867581, Average Loss  0.870109, Time  0.446209
2021-09-29 12:26:26.237542 : Epoch 10, Batch    291, Loss  0.864843, Average Loss  0.870125, Time  0.444188
2021-09-29 12:26:32.175325 : Epoch 10, Batch    292, Loss  0.865849, Average Loss  0.870149, Time  0.446410
2021-09-29 12:26:38.106771 : Epoch 10, Batch    293, Loss  0.868182, Average Loss  0.870095, Time  0.448337
2021-09-29 12:26:44.035475 : Epoch 10, Batch    294, Loss  0.857487, Average Loss  0.870043, Time  0.445313
2021-09-29 12:26:49.965980 : Epoch 10, Batch    295, Loss  0.857689, Average Loss  0.869993, Time  0.454368
2021-09-29 12:26:55.874587 : Epoch 10, Batch    296, Loss  0.881839, Average Loss  0.870094, Time  0.445628
2021-09-29 12:27:01.788215 : Epoch 10, Batch    297, Loss  0.876024, Average Loss  0.870122, Time  0.445424
2021-09-29 12:27:07.717534 : Epoch 10, Batch    298, Loss  0.851064, Average Loss  0.870048, Time  0.445775
2021-09-29 12:27:13.621020 : Epoch 10, Batch    299, Loss  0.877703, Average Loss  0.870026, Time  0.444408
2021-09-29 12:27:19.529276 : Epoch 10, Batch    300, Loss  0.859215, Average Loss  0.869983, Time  0.444574
2021-09-29 12:27:25.456608 : Epoch 10, Batch    301, Loss  0.850855, Average Loss  0.869961, Time  0.444957
2021-09-29 12:27:31.367313 : Epoch 10, Batch    302, Loss  0.862085, Average Loss  0.869978, Time  0.452015
2021-09-29 12:27:37.323365 : Epoch 10, Batch    303, Loss  0.872745, Average Loss  0.870003, Time  0.461316
2021-09-29 12:27:43.237776 : Epoch 10, Batch    304, Loss  0.874604, Average Loss  0.870050, Time  0.447987
2021-09-29 12:27:49.166758 : Epoch 10, Batch    305, Loss  0.865569, Average Loss  0.870051, Time  0.446745
2021-09-29 12:27:55.080174 : Epoch 10, Batch    306, Loss  0.859858, Average Loss  0.870002, Time  0.444852
2021-09-29 12:28:01.001764 : Epoch 10, Batch    307, Loss  0.863893, Average Loss  0.870023, Time  0.445201
2021-09-29 12:28:06.931301 : Epoch 10, Batch    308, Loss  0.859754, Average Loss  0.869979, Time  0.450145
2021-09-29 12:28:12.855533 : Epoch 10, Batch    309, Loss  0.861861, Average Loss  0.870003, Time  0.445575
2021-09-29 12:28:18.770793 : Epoch 10, Batch    310, Loss  0.872950, Average Loss  0.870085, Time  0.447080
2021-09-29 12:28:24.701791 : Epoch 10, Batch    311, Loss  0.858650, Average Loss  0.870062, Time  0.454821
2021-09-29 12:28:30.628810 : Epoch 10, Batch    312, Loss  0.865840, Average Loss  0.870063, Time  0.444972
2021-09-29 12:28:36.543894 : Epoch 10, Batch    313, Loss  0.885944, Average Loss  0.870110, Time  0.451105
2021-09-29 12:28:42.455287 : Epoch 10, Batch    314, Loss  0.864073, Average Loss  0.870041, Time  0.447834
2021-09-29 12:28:48.378571 : Epoch 10, Batch    315, Loss  0.856693, Average Loss  0.870027, Time  0.446735
2021-09-29 12:28:54.293845 : Epoch 10, Batch    316, Loss  0.868945, Average Loss  0.869907, Time  0.448523
2021-09-29 12:29:00.216750 : Epoch 10, Batch    317, Loss  0.847895, Average Loss  0.869787, Time  0.445161
2021-09-29 12:29:06.123424 : Epoch 10, Batch    318, Loss  0.864969, Average Loss  0.869758, Time  0.444622
2021-09-29 12:29:12.027234 : Epoch 10, Batch    319, Loss  0.854541, Average Loss  0.869671, Time  0.450751
2021-09-29 12:29:17.953206 : Epoch 10, Batch    320, Loss  0.858365, Average Loss  0.869626, Time  0.446573
2021-09-29 12:29:23.845256 : Epoch 10, Batch    321, Loss  0.871984, Average Loss  0.869713, Time  0.446071
2021-09-29 12:29:29.746606 : Epoch 10, Batch    322, Loss  0.863980, Average Loss  0.869653, Time  0.444349
2021-09-29 12:29:35.675954 : Epoch 10, Batch    323, Loss  0.865942, Average Loss  0.869634, Time  0.448182
2021-09-29 12:29:41.590693 : Epoch 10, Batch    324, Loss  0.875996, Average Loss  0.869672, Time  0.444924
2021-09-29 12:29:47.526338 : Epoch 10, Batch    325, Loss  0.859104, Average Loss  0.869648, Time  0.447966
2021-09-29 12:29:53.436705 : Epoch 10, Batch    326, Loss  0.862731, Average Loss  0.869617, Time  0.445198
2021-09-29 12:29:59.362203 : Epoch 10, Batch    327, Loss  0.880378, Average Loss  0.869621, Time  0.460513
2021-09-29 12:30:05.282936 : Epoch 10, Batch    328, Loss  0.884104, Average Loss  0.869764, Time  0.444974
2021-09-29 12:30:11.200405 : Epoch 10, Batch    329, Loss  0.869612, Average Loss  0.869721, Time  0.444411
2021-09-29 12:30:17.114251 : Epoch 10, Batch    330, Loss  0.864934, Average Loss  0.869688, Time  0.445044
2021-09-29 12:30:23.041395 : Epoch 10, Batch    331, Loss  0.861411, Average Loss  0.869715, Time  0.446577
2021-09-29 12:30:28.961010 : Epoch 10, Batch    332, Loss  0.874915, Average Loss  0.869698, Time  0.445977
2021-09-29 12:30:34.880790 : Epoch 10, Batch    333, Loss  0.863461, Average Loss  0.869688, Time  0.446171
2021-09-29 12:30:40.807159 : Epoch 10, Batch    334, Loss  0.882828, Average Loss  0.869786, Time  0.446440
2021-09-29 12:30:46.730948 : Epoch 10, Batch    335, Loss  0.860619, Average Loss  0.869760, Time  0.457416
2021-09-29 12:30:52.657738 : Epoch 10, Batch    336, Loss  0.860377, Average Loss  0.869757, Time  0.449827
2021-09-29 12:30:58.581079 : Epoch 10, Batch    337, Loss  0.866605, Average Loss  0.869692, Time  0.447232
2021-09-29 12:31:04.493745 : Epoch 10, Batch    338, Loss  0.873135, Average Loss  0.869714, Time  0.449909
2021-09-29 12:31:10.412743 : Epoch 10, Batch    339, Loss  0.869811, Average Loss  0.869705, Time  0.444776
2021-09-29 12:31:16.328693 : Epoch 10, Batch    340, Loss  0.865592, Average Loss  0.869594, Time  0.444358
2021-09-29 12:31:22.246537 : Epoch 10, Batch    341, Loss  0.867248, Average Loss  0.869512, Time  0.444065
2021-09-29 12:31:28.156804 : Epoch 10, Batch    342, Loss  0.867072, Average Loss  0.869571, Time  0.445349
2021-09-29 12:31:34.076773 : Epoch 10, Batch    343, Loss  0.869784, Average Loss  0.869591, Time  0.452693
2021-09-29 12:31:39.995198 : Epoch 10, Batch    344, Loss  0.879324, Average Loss  0.869664, Time  0.445683
2021-09-29 12:31:45.891136 : Epoch 10, Batch    345, Loss  0.855943, Average Loss  0.869597, Time  0.446492
2021-09-29 12:31:51.804037 : Epoch 10, Batch    346, Loss  0.864440, Average Loss  0.869583, Time  0.445938
2021-09-29 12:31:57.732823 : Epoch 10, Batch    347, Loss  0.856143, Average Loss  0.869477, Time  0.445669
2021-09-29 12:32:03.630781 : Epoch 10, Batch    348, Loss  0.872331, Average Loss  0.869498, Time  0.444162
2021-09-29 12:36:40.138432 : CheckPoint: Validation Loss  0.00015157, Best Loss  0.00014688
2021-09-29 12:36:46.054090 : Epoch 10, Batch    349, Loss  0.857560, Average Loss  0.869458, Time  0.446882
2021-09-29 12:36:51.979039 : Epoch 10, Batch    350, Loss  0.863053, Average Loss  0.869394, Time  0.445716
2021-09-29 12:36:57.908461 : Epoch 10, Batch    351, Loss  0.859773, Average Loss  0.869394, Time  0.455178
2021-09-29 12:37:03.849998 : Epoch 10, Batch    352, Loss  0.857740, Average Loss  0.869233, Time  0.445528
2021-09-29 12:37:09.788124 : Epoch 10, Batch    353, Loss  0.863401, Average Loss  0.869178, Time  0.447171
2021-09-29 12:37:15.715554 : Epoch 10, Batch    354, Loss  0.878745, Average Loss  0.869247, Time  0.445441
2021-09-29 12:37:21.654265 : Epoch 10, Batch    355, Loss  0.866213, Average Loss  0.869097, Time  0.445148
2021-09-29 12:37:27.579306 : Epoch 10, Batch    356, Loss  0.869069, Average Loss  0.869028, Time  0.444437
2021-09-29 12:37:33.507550 : Epoch 10, Batch    357, Loss  0.869169, Average Loss  0.869035, Time  0.444598
2021-09-29 12:37:39.443207 : Epoch 10, Batch    358, Loss  0.872654, Average Loss  0.869003, Time  0.445527
2021-09-29 12:37:45.378774 : Epoch 10, Batch    359, Loss  0.878601, Average Loss  0.869066, Time  0.457337
2021-09-29 12:37:51.303940 : Epoch 10, Batch    360, Loss  0.868591, Average Loss  0.869089, Time  0.447530
2021-09-29 12:37:57.238369 : Epoch 10, Batch    361, Loss  0.871390, Average Loss  0.869073, Time  0.443699
2021-09-29 12:38:03.159780 : Epoch 10, Batch    362, Loss  0.866915, Average Loss  0.869055, Time  0.445369
2021-09-29 12:38:09.112754 : Epoch 10, Batch    363, Loss  0.890066, Average Loss  0.869125, Time  0.446649
2021-09-29 12:38:15.048843 : Epoch 10, Batch    364, Loss  0.866509, Average Loss  0.869114, Time  0.444821
2021-09-29 12:38:20.988173 : Epoch 10, Batch    365, Loss  0.860119, Average Loss  0.869071, Time  0.446685
2021-09-29 12:38:26.910798 : Epoch 10, Batch    366, Loss  0.875810, Average Loss  0.869100, Time  0.444968
2021-09-29 12:38:32.858816 : Epoch 10, Batch    367, Loss  0.867558, Average Loss  0.869084, Time  0.454188
2021-09-29 12:38:38.790513 : Epoch 10, Batch    368, Loss  0.880229, Average Loss  0.869105, Time  0.448321
2021-09-29 12:38:44.732741 : Epoch 10, Batch    369, Loss  0.868325, Average Loss  0.869028, Time  0.446587
2021-09-29 12:38:50.672964 : Epoch 10, Batch    370, Loss  0.887351, Average Loss  0.869176, Time  0.446070
2021-09-29 12:38:56.605466 : Epoch 10, Batch    371, Loss  0.872777, Average Loss  0.869327, Time  0.445138
2021-09-29 12:39:02.532010 : Epoch 10, Batch    372, Loss  0.862921, Average Loss  0.869297, Time  0.446084
2021-09-29 12:39:08.450184 : Epoch 10, Batch    373, Loss  0.879566, Average Loss  0.869333, Time  0.446886
2021-09-29 12:39:14.375978 : Epoch 10, Batch    374, Loss  0.871295, Average Loss  0.869452, Time  0.447264
2021-09-29 12:39:20.316518 : Epoch 10, Batch    375, Loss  0.862791, Average Loss  0.869439, Time  0.454254
2021-09-29 12:39:26.249799 : Epoch 10, Batch    376, Loss  0.884879, Average Loss  0.869522, Time  0.444930
2021-09-29 12:39:32.179774 : Epoch 10, Batch    377, Loss  0.848501, Average Loss  0.869385, Time  0.446130
2021-09-29 12:39:38.121385 : Epoch 10, Batch    378, Loss  0.877121, Average Loss  0.869348, Time  0.446579
2021-09-29 12:39:44.064778 : Epoch 10, Batch    379, Loss  0.848691, Average Loss  0.869209, Time  0.444591
2021-09-29 12:39:50.004419 : Epoch 10, Batch    380, Loss  0.870903, Average Loss  0.869131, Time  0.445889
2021-09-29 12:39:55.941668 : Epoch 10, Batch    381, Loss  0.883392, Average Loss  0.869224, Time  0.448452
2021-09-29 12:40:01.866278 : Epoch 10, Batch    382, Loss  0.859436, Average Loss  0.869087, Time  0.445603
2021-09-29 12:40:07.824781 : Epoch 10, Batch    383, Loss  0.855178, Average Loss  0.869019, Time  0.461823
2021-09-29 12:40:13.783977 : Epoch 10, Batch    384, Loss  0.869685, Average Loss  0.868996, Time  0.444858
2021-09-29 12:40:19.730181 : Epoch 10, Batch    385, Loss  0.881347, Average Loss  0.869050, Time  0.444588
2021-09-29 12:40:25.662287 : Epoch 10, Batch    386, Loss  0.860786, Average Loss  0.868997, Time  0.446199
2021-09-29 12:40:31.587786 : Epoch 10, Batch    387, Loss  0.857600, Average Loss  0.868949, Time  0.444089
2021-09-29 12:40:37.500095 : Epoch 10, Batch    388, Loss  0.885191, Average Loss  0.869081, Time  0.444466
2021-09-29 12:40:43.438142 : Epoch 10, Batch    389, Loss  0.887761, Average Loss  0.869082, Time  0.444774
2021-09-29 12:40:49.351877 : Epoch 10, Batch    390, Loss  0.855487, Average Loss  0.868958, Time  0.444137
2021-09-29 12:40:55.317769 : Epoch 10, Batch    391, Loss  0.861195, Average Loss  0.868903, Time  0.459562
2021-09-29 12:41:01.240008 : Epoch 10, Batch    392, Loss  0.862442, Average Loss  0.868844, Time  0.447616
2021-09-29 12:41:07.153409 : Epoch 10, Batch    393, Loss  0.859184, Average Loss  0.868696, Time  0.445089
2021-09-29 12:41:13.078368 : Epoch 10, Batch    394, Loss  0.872087, Average Loss  0.868722, Time  0.447055
2021-09-29 12:41:19.004036 : Epoch 10, Batch    395, Loss  0.867753, Average Loss  0.868756, Time  0.444188
2021-09-29 12:41:24.949105 : Epoch 10, Batch    396, Loss  0.868972, Average Loss  0.868742, Time  0.446928
2021-09-29 12:41:30.873421 : Epoch 10, Batch    397, Loss  0.853855, Average Loss  0.868622, Time  0.452115
2021-09-29 12:41:36.798748 : Epoch 10, Batch    398, Loss  0.862661, Average Loss  0.868595, Time  0.447103
2021-09-29 12:41:42.711247 : Epoch 10, Batch    399, Loss  0.873755, Average Loss  0.868606, Time  0.452147
2021-09-29 12:41:48.633819 : Epoch 10, Batch    400, Loss  0.877184, Average Loss  0.868638, Time  0.444989
2021-09-29 12:41:54.565935 : Epoch 10, Batch    401, Loss  0.874042, Average Loss  0.868620, Time  0.445646
2021-09-29 12:42:00.495117 : Epoch 10, Batch    402, Loss  0.870748, Average Loss  0.868603, Time  0.444784
2021-09-29 12:42:06.449927 : Epoch 10, Batch    403, Loss  0.881079, Average Loss  0.868703, Time  0.445495
2021-09-29 12:42:12.383300 : Epoch 10, Batch    404, Loss  0.859849, Average Loss  0.868679, Time  0.445232
2021-09-29 12:42:18.298827 : Epoch 10, Batch    405, Loss  0.874910, Average Loss  0.868711, Time  0.444343
2021-09-29 12:42:24.241849 : Epoch 10, Batch    406, Loss  0.862256, Average Loss  0.868734, Time  0.459120
2021-09-29 12:42:30.166915 : Epoch 10, Batch    407, Loss  0.888642, Average Loss  0.868855, Time  0.445244
2021-09-29 12:42:36.101854 : Epoch 10, Batch    408, Loss  0.854842, Average Loss  0.868790, Time  0.445902
2021-09-29 12:42:42.032607 : Epoch 10, Batch    409, Loss  0.847464, Average Loss  0.868717, Time  0.444315
2021-09-29 12:42:47.964834 : Epoch 10, Batch    410, Loss  0.864340, Average Loss  0.868603, Time  0.446165
2021-09-29 12:42:53.891320 : Epoch 10, Batch    411, Loss  0.864458, Average Loss  0.868624, Time  0.447545
2021-09-29 12:42:59.817341 : Epoch 10, Batch    412, Loss  0.881766, Average Loss  0.868657, Time  0.445755
2021-09-29 12:43:05.748242 : Epoch 10, Batch    413, Loss  0.850328, Average Loss  0.868536, Time  0.445635
2021-09-29 12:43:11.703899 : Epoch 10, Batch    414, Loss  0.877517, Average Loss  0.868581, Time  0.461746
2021-09-29 12:43:17.622431 : Epoch 10, Batch    415, Loss  0.872483, Average Loss  0.868626, Time  0.444930
2021-09-29 12:43:23.548294 : Epoch 10, Batch    416, Loss  0.868032, Average Loss  0.868595, Time  0.444926
2021-09-29 12:43:29.465464 : Epoch 10, Batch    417, Loss  0.869131, Average Loss  0.868551, Time  0.446182
2021-09-29 12:43:35.393465 : Epoch 10, Batch    418, Loss  0.871264, Average Loss  0.868585, Time  0.444394
2021-09-29 12:43:41.313205 : Epoch 10, Batch    419, Loss  0.875605, Average Loss  0.868586, Time  0.445534
2021-09-29 12:43:47.230766 : Epoch 10, Batch    420, Loss  0.875394, Average Loss  0.868588, Time  0.443973
2021-09-29 12:43:53.147818 : Epoch 10, Batch    421, Loss  0.874440, Average Loss  0.868608, Time  0.445559
2021-09-29 12:43:59.085197 : Epoch 10, Batch    422, Loss  0.868771, Average Loss  0.868692, Time  0.457608
2021-09-29 12:44:05.016348 : Epoch 10, Batch    423, Loss  0.863574, Average Loss  0.868654, Time  0.444299
2021-09-29 12:44:10.937814 : Epoch 10, Batch    424, Loss  0.874881, Average Loss  0.868655, Time  0.444860
2021-09-29 12:44:16.878424 : Epoch 10, Batch    425, Loss  0.860886, Average Loss  0.868585, Time  0.446802
2021-09-29 12:44:22.789279 : Epoch 10, Batch    426, Loss  0.866128, Average Loss  0.868579, Time  0.448409
2021-09-29 12:44:28.718761 : Epoch 10, Batch    427, Loss  0.865009, Average Loss  0.868557, Time  0.445709
2021-09-29 12:44:34.643449 : Epoch 10, Batch    428, Loss  0.883585, Average Loss  0.868635, Time  0.444563
2021-09-29 12:44:40.565786 : Epoch 10, Batch    429, Loss  0.875387, Average Loss  0.868691, Time  0.445235
2021-09-29 12:44:46.491469 : Epoch 10, Batch    430, Loss  0.876371, Average Loss  0.868641, Time  0.456856
2021-09-29 12:44:52.412291 : Epoch 10, Batch    431, Loss  0.864480, Average Loss  0.868605, Time  0.446167
2021-09-29 12:44:58.353968 : Epoch 10, Batch    432, Loss  0.866121, Average Loss  0.868562, Time  0.446406
2021-09-29 12:45:04.271269 : Epoch 10, Batch    433, Loss  0.870230, Average Loss  0.868643, Time  0.444709
2021-09-29 12:45:10.193613 : Epoch 10, Batch    434, Loss  0.863495, Average Loss  0.868677, Time  0.446092
2021-09-29 12:45:16.115773 : Epoch 10, Batch    435, Loss  0.854457, Average Loss  0.868613, Time  0.449313
2021-09-29 12:45:22.065333 : Epoch 10, Batch    436, Loss  0.879415, Average Loss  0.868684, Time  0.448509
2021-09-29 12:45:27.978743 : Epoch 10, Batch    437, Loss  0.874409, Average Loss  0.868680, Time  0.445899
2021-09-29 12:45:33.924387 : Epoch 10, Batch    438, Loss  0.860001, Average Loss  0.868656, Time  0.458947
2021-09-29 12:45:39.860513 : Epoch 10, Batch    439, Loss  0.873681, Average Loss  0.868673, Time  0.445755
2021-09-29 12:45:45.792576 : Epoch 10, Batch    440, Loss  0.877124, Average Loss  0.868770, Time  0.445914
2021-09-29 12:45:51.731390 : Epoch 10, Batch    441, Loss  0.874795, Average Loss  0.868792, Time  0.446581
2021-09-29 12:45:57.650278 : Epoch 10, Batch    442, Loss  0.863406, Average Loss  0.868729, Time  0.444461
2021-09-29 12:46:03.587190 : Epoch 10, Batch    443, Loss  0.878375, Average Loss  0.868787, Time  0.445250
2021-09-29 12:46:09.515287 : Epoch 10, Batch    444, Loss  0.867451, Average Loss  0.868768, Time  0.446568
2021-09-29 12:46:15.434135 : Epoch 10, Batch    445, Loss  0.875067, Average Loss  0.868781, Time  0.444521
2021-09-29 12:46:21.376880 : Epoch 10, Batch    446, Loss  0.869645, Average Loss  0.868812, Time  0.461513
2021-09-29 12:46:27.311761 : Epoch 10, Batch    447, Loss  0.872932, Average Loss  0.868897, Time  0.450529
2021-09-29 12:46:33.245147 : Epoch 10, Batch    448, Loss  0.872262, Average Loss  0.868820, Time  0.444780
2021-09-29 12:51:10.466156 : CheckPoint: Validation Loss  0.00015034, Best Loss  0.00014688
2021-09-29 12:51:16.385816 : Epoch 10, Batch    449, Loss  0.875711, Average Loss  0.868869, Time  0.444409
2021-09-29 12:51:22.298111 : Epoch 10, Batch    450, Loss  0.874605, Average Loss  0.868854, Time  0.445277
2021-09-29 12:51:28.221676 : Epoch 10, Batch    451, Loss  0.876385, Average Loss  0.868846, Time  0.448342
2021-09-29 12:51:34.151744 : Epoch 10, Batch    452, Loss  0.873211, Average Loss  0.868917, Time  0.445246
2021-09-29 12:51:40.084961 : Epoch 10, Batch    453, Loss  0.879508, Average Loss  0.868883, Time  0.445171
2021-09-29 12:51:46.008474 : Epoch 10, Batch    454, Loss  0.851495, Average Loss  0.868739, Time  0.454897
2021-09-29 12:51:51.928774 : Epoch 10, Batch    455, Loss  0.869494, Average Loss  0.868720, Time  0.444174
2021-09-29 12:51:57.860960 : Epoch 10, Batch    456, Loss  0.877718, Average Loss  0.868754, Time  0.444107
2021-09-29 12:52:03.805818 : Epoch 10, Batch    457, Loss  0.870601, Average Loss  0.868704, Time  0.447582
2021-09-29 12:52:09.727748 : Epoch 10, Batch    458, Loss  0.869011, Average Loss  0.868756, Time  0.444747
2021-09-29 12:52:15.657646 : Epoch 10, Batch    459, Loss  0.876005, Average Loss  0.868764, Time  0.446681
2021-09-29 12:52:21.585891 : Epoch 10, Batch    460, Loss  0.875644, Average Loss  0.868768, Time  0.447032
2021-09-29 12:52:27.520825 : Epoch 10, Batch    461, Loss  0.862095, Average Loss  0.868755, Time  0.445086
2021-09-29 12:52:33.439180 : Epoch 10, Batch    462, Loss  0.863158, Average Loss  0.868717, Time  0.456193
2021-09-29 12:52:39.370171 : Epoch 10, Batch    463, Loss  0.862041, Average Loss  0.868652, Time  0.446026
2021-09-29 12:52:45.308821 : Epoch 10, Batch    464, Loss  0.864730, Average Loss  0.868642, Time  0.444826
2021-09-29 12:52:51.217715 : Epoch 10, Batch    465, Loss  0.885829, Average Loss  0.868663, Time  0.445051
2021-09-29 12:52:57.140302 : Epoch 10, Batch    466, Loss  0.877660, Average Loss  0.868759, Time  0.445564
2021-09-29 12:53:03.074440 : Epoch 10, Batch    467, Loss  0.856718, Average Loss  0.868643, Time  0.445959
2021-09-29 12:53:09.007752 : Epoch 10, Batch    468, Loss  0.870970, Average Loss  0.868687, Time  0.447392
2021-09-29 12:53:14.921578 : Epoch 10, Batch    469, Loss  0.871277, Average Loss  0.868638, Time  0.447955
2021-09-29 12:53:20.869355 : Epoch 10, Batch    470, Loss  0.875459, Average Loss  0.868640, Time  0.458454
2021-09-29 12:53:26.804384 : Epoch 10, Batch    471, Loss  0.882982, Average Loss  0.868653, Time  0.445748
2021-09-29 12:53:32.727271 : Epoch 10, Batch    472, Loss  0.856482, Average Loss  0.868597, Time  0.446095
2021-09-29 12:53:38.641069 : Epoch 10, Batch    473, Loss  0.873390, Average Loss  0.868575, Time  0.444622
2021-09-29 12:53:44.580530 : Epoch 10, Batch    474, Loss  0.888095, Average Loss  0.868637, Time  0.449333
2021-09-29 12:53:50.504015 : Epoch 10, Batch    475, Loss  0.855254, Average Loss  0.868473, Time  0.446680
2021-09-29 12:53:56.415161 : Epoch 10, Batch    476, Loss  0.861675, Average Loss  0.868406, Time  0.444551
2021-09-29 12:54:02.337895 : Epoch 10, Batch    477, Loss  0.878947, Average Loss  0.868483, Time  0.456591
2021-09-29 12:54:08.250965 : Epoch 10, Batch    478, Loss  0.862053, Average Loss  0.868423, Time  0.444308
2021-09-29 12:54:14.188865 : Epoch 10, Batch    479, Loss  0.858284, Average Loss  0.868371, Time  0.446796
2021-09-29 12:54:20.118870 : Epoch 10, Batch    480, Loss  0.871006, Average Loss  0.868345, Time  0.445676
2021-09-29 12:54:26.057776 : Epoch 10, Batch    481, Loss  0.878181, Average Loss  0.868338, Time  0.444790
2021-09-29 12:54:31.972526 : Epoch 10, Batch    482, Loss  0.874734, Average Loss  0.868387, Time  0.446796
2021-09-29 12:54:37.912780 : Epoch 10, Batch    483, Loss  0.870426, Average Loss  0.868432, Time  0.446449
2021-09-29 12:54:43.852780 : Epoch 10, Batch    484, Loss  0.865390, Average Loss  0.868456, Time  0.446714
2021-09-29 12:54:49.802832 : Epoch 10, Batch    485, Loss  0.880382, Average Loss  0.868491, Time  0.459782
2021-09-29 12:54:55.734801 : Epoch 10, Batch    486, Loss  0.881976, Average Loss  0.868613, Time  0.446775
2021-09-29 12:55:01.666782 : Epoch 10, Batch    487, Loss  0.850852, Average Loss  0.868540, Time  0.446630
2021-09-29 12:55:07.588257 : Epoch 10, Batch    488, Loss  0.867907, Average Loss  0.868546, Time  0.445025
2021-09-29 12:55:13.503490 : Epoch 10, Batch    489, Loss  0.874463, Average Loss  0.868615, Time  0.446167
2021-09-29 12:55:19.433701 : Epoch 10, Batch    490, Loss  0.870527, Average Loss  0.868629, Time  0.445520
2021-09-29 12:55:25.347896 : Epoch 10, Batch    491, Loss  0.855512, Average Loss  0.868583, Time  0.446647
2021-09-29 12:55:31.277031 : Epoch 10, Batch    492, Loss  0.863082, Average Loss  0.868569, Time  0.447725
2021-09-29 12:55:37.231682 : Epoch 10, Batch    493, Loss  0.872557, Average Loss  0.868591, Time  0.461659
2021-09-29 12:55:43.140090 : Epoch 10, Batch    494, Loss  0.880545, Average Loss  0.868706, Time  0.447169
2021-09-29 12:55:49.069036 : Epoch 10, Batch    495, Loss  0.877921, Average Loss  0.868807, Time  0.445601
2021-09-29 12:55:55.000739 : Epoch 10, Batch    496, Loss  0.861438, Average Loss  0.868705, Time  0.446420
2021-09-29 12:56:00.936780 : Epoch 10, Batch    497, Loss  0.867466, Average Loss  0.868662, Time  0.445964
2021-09-29 12:56:06.849716 : Epoch 10, Batch    498, Loss  0.892477, Average Loss  0.868870, Time  0.445430
2021-09-29 12:56:12.775435 : Epoch 10, Batch    499, Loss  0.882789, Average Loss  0.868895, Time  0.445251
2021-09-29 12:56:18.686616 : Epoch 10, Batch    500, Loss  0.874310, Average Loss  0.868970, Time  0.446052
2021-09-29 12:56:24.611910 : Epoch 10, Batch    501, Loss  0.850811, Average Loss  0.868970, Time  0.452566
2021-09-29 12:56:30.519837 : Epoch 10, Batch    502, Loss  0.884222, Average Loss  0.869081, Time  0.444381
2021-09-29 12:56:36.449597 : Epoch 10, Batch    503, Loss  0.875946, Average Loss  0.869097, Time  0.445619
2021-09-29 12:56:42.365794 : Epoch 10, Batch    504, Loss  0.866476, Average Loss  0.869056, Time  0.451257
2021-09-29 12:56:48.280379 : Epoch 10, Batch    505, Loss  0.870233, Average Loss  0.869080, Time  0.444836
2021-09-29 12:56:54.175686 : Epoch 10, Batch    506, Loss  0.865299, Average Loss  0.869107, Time  0.445676
2021-09-29 12:57:00.109868 : Epoch 10, Batch    507, Loss  0.877804, Average Loss  0.869176, Time  0.444692
2021-09-29 12:57:06.027699 : Epoch 10, Batch    508, Loss  0.855451, Average Loss  0.869155, Time  0.444635
2021-09-29 12:57:11.963965 : Epoch 10, Batch    509, Loss  0.862557, Average Loss  0.869158, Time  0.462721
2021-09-29 12:57:17.888969 : Epoch 10, Batch    510, Loss  0.863510, Average Loss  0.869111, Time  0.445483
2021-09-29 12:57:23.822725 : Epoch 10, Batch    511, Loss  0.874698, Average Loss  0.869191, Time  0.445394
2021-09-29 12:57:29.759674 : Epoch 10, Batch    512, Loss  0.859076, Average Loss  0.869158, Time  0.446734
2021-09-29 12:57:35.687199 : Epoch 10, Batch    513, Loss  0.873857, Average Loss  0.869097, Time  0.444223
2021-09-29 12:57:41.616534 : Epoch 10, Batch    514, Loss  0.871073, Average Loss  0.869132, Time  0.448430
2021-09-29 12:57:47.553864 : Epoch 10, Batch    515, Loss  0.858734, Average Loss  0.869142, Time  0.447233
2021-09-29 12:57:53.469110 : Epoch 10, Batch    516, Loss  0.862867, Average Loss  0.869112, Time  0.446205
2021-09-29 12:57:59.417517 : Epoch 10, Batch    517, Loss  0.868956, Average Loss  0.869217, Time  0.460263
2021-09-29 12:58:05.361369 : Epoch 10, Batch    518, Loss  0.857772, Average Loss  0.869181, Time  0.448176
2021-09-29 12:58:11.289905 : Epoch 10, Batch    519, Loss  0.872529, Average Loss  0.869271, Time  0.445495
2021-09-29 12:58:17.211004 : Epoch 10, Batch    520, Loss  0.861566, Average Loss  0.869287, Time  0.444875
2021-09-29 12:58:23.151295 : Epoch 10, Batch    521, Loss  0.874081, Average Loss  0.869298, Time  0.449424
2021-09-29 12:58:29.074702 : Epoch 10, Batch    522, Loss  0.873531, Average Loss  0.869345, Time  0.444929
2021-09-29 12:58:34.995069 : Epoch 10, Batch    523, Loss  0.874081, Average Loss  0.869386, Time  0.444497
2021-09-29 12:58:40.911879 : Epoch 10, Batch    524, Loss  0.873266, Average Loss  0.869372, Time  0.445582
2021-09-29 12:58:46.851822 : Epoch 10, Batch    525, Loss  0.861344, Average Loss  0.869384, Time  0.456927
2021-09-29 12:58:52.756108 : Epoch 10, Batch    526, Loss  0.876277, Average Loss  0.869451, Time  0.446232
2021-09-29 12:58:58.677379 : Epoch 10, Batch    527, Loss  0.867549, Average Loss  0.869387, Time  0.446295
2021-09-29 12:59:04.594737 : Epoch 10, Batch    528, Loss  0.893086, Average Loss  0.869432, Time  0.445665
2021-09-29 12:59:10.507736 : Epoch 10, Batch    529, Loss  0.872875, Average Loss  0.869448, Time  0.444373
2021-09-29 12:59:16.425758 : Epoch 10, Batch    530, Loss  0.872073, Average Loss  0.869484, Time  0.445017
2021-09-29 12:59:22.337756 : Epoch 10, Batch    531, Loss  0.871089, Average Loss  0.869533, Time  0.444164
2021-09-29 12:59:28.278801 : Epoch 10, Batch    532, Loss  0.865102, Average Loss  0.869483, Time  0.447595
2021-09-29 12:59:34.212856 : Epoch 10, Batch    533, Loss  0.869116, Average Loss  0.869512, Time  0.460224
2021-09-29 12:59:40.139803 : Epoch 10, Batch    534, Loss  0.864316, Average Loss  0.869419, Time  0.451161
2021-09-29 12:59:46.065663 : Epoch 10, Batch    535, Loss  0.864544, Average Loss  0.869439, Time  0.444773
2021-09-29 12:59:51.988477 : Epoch 10, Batch    536, Loss  0.868208, Average Loss  0.869478, Time  0.446528
2021-09-29 12:59:57.910410 : Epoch 10, Batch    537, Loss  0.866148, Average Loss  0.869476, Time  0.445261
2021-09-29 13:00:03.847782 : Epoch 10, Batch    538, Loss  0.859537, Average Loss  0.869408, Time  0.450539
2021-09-29 13:00:09.782683 : Epoch 10, Batch    539, Loss  0.867700, Average Loss  0.869397, Time  0.444114
2021-09-29 13:00:15.695418 : Epoch 10, Batch    540, Loss  0.854134, Average Loss  0.869340, Time  0.444197
2021-09-29 13:00:21.618575 : Epoch 10, Batch    541, Loss  0.872383, Average Loss  0.869366, Time  0.462015
2021-09-29 13:00:27.548407 : Epoch 10, Batch    542, Loss  0.877662, Average Loss  0.869418, Time  0.445808
2021-09-29 13:00:33.484806 : Epoch 10, Batch    543, Loss  0.865206, Average Loss  0.869396, Time  0.444763
2021-09-29 13:00:39.415779 : Epoch 10, Batch    544, Loss  0.867595, Average Loss  0.869337, Time  0.445143
2021-09-29 13:00:45.320560 : Epoch 10, Batch    545, Loss  0.854538, Average Loss  0.869330, Time  0.446371
2021-09-29 13:00:51.254039 : Epoch 10, Batch    546, Loss  0.866294, Average Loss  0.869339, Time  0.448807
2021-09-29 13:00:57.183769 : Epoch 10, Batch    547, Loss  0.871930, Average Loss  0.869418, Time  0.445626
2021-09-29 13:01:03.092474 : Epoch 10, Batch    548, Loss  0.874062, Average Loss  0.869427, Time  0.444871
2021-09-29 13:05:39.946274 : CheckPoint: Validation Loss  0.00015253, Best Loss  0.00014688
2021-09-29 13:05:45.870731 : Epoch 10, Batch    549, Loss  0.869419, Average Loss  0.869486, Time  0.444959
2021-09-29 13:05:50.255892 : Epoch 10, Batch    550, Loss  0.868498, Average Loss  0.869513, Time  0.358796
2021-09-29 13:05:56.160910 : Epoch 10, Batch    551, Loss  0.875223, Average Loss  0.869591, Time  0.448091
2021-09-29 13:06:02.081534 : Epoch 10, Batch    552, Loss  0.876057, Average Loss  0.869682, Time  0.446769
2021-09-29 13:06:07.990670 : Epoch 10, Batch    553, Loss  0.874420, Average Loss  0.869737, Time  0.444246
2021-09-29 13:06:13.911253 : Epoch 10, Batch    554, Loss  0.864077, Average Loss  0.869664, Time  0.446262
2021-09-29 13:06:19.833890 : Epoch 10, Batch    555, Loss  0.864805, Average Loss  0.869657, Time  0.448337
2021-09-29 13:06:25.756107 : Epoch 10, Batch    556, Loss  0.871663, Average Loss  0.869670, Time  0.445940
2021-09-29 13:06:31.664763 : Epoch 10, Batch    557, Loss  0.871106, Average Loss  0.869680, Time  0.444717
2021-09-29 13:06:37.604885 : Epoch 10, Batch    558, Loss  0.866426, Average Loss  0.869648, Time  0.458524
2021-09-29 13:06:43.528965 : Epoch 10, Batch    559, Loss  0.880800, Average Loss  0.869659, Time  0.445495
2021-09-29 13:06:49.456667 : Epoch 10, Batch    560, Loss  0.891710, Average Loss  0.869775, Time  0.446738
2021-09-29 13:06:55.415892 : Epoch 10, Batch    561, Loss  0.879025, Average Loss  0.869813, Time  0.444135
2021-09-29 13:07:01.331884 : Epoch 10, Batch    562, Loss  0.858864, Average Loss  0.869773, Time  0.445960
2021-09-29 13:07:07.238484 : Epoch 10, Batch    563, Loss  0.859794, Average Loss  0.869622, Time  0.445512
2021-09-29 13:07:13.184475 : Epoch 10, Batch    564, Loss  0.878140, Average Loss  0.869680, Time  0.446250
2021-09-29 13:07:19.100891 : Epoch 10, Batch    565, Loss  0.855171, Average Loss  0.869655, Time  0.444722
2021-09-29 13:07:25.021761 : Epoch 10, Batch    566, Loss  0.871864, Average Loss  0.869635, Time  0.454233
2021-09-29 13:07:30.929733 : Epoch 10, Batch    567, Loss  0.859994, Average Loss  0.869597, Time  0.444352
2021-09-29 13:07:36.842764 : Epoch 10, Batch    568, Loss  0.873227, Average Loss  0.869562, Time  0.443924
2021-09-29 13:07:42.763617 : Epoch 10, Batch    569, Loss  0.867000, Average Loss  0.869556, Time  0.444423
2021-09-29 13:07:48.701471 : Epoch 10, Batch    570, Loss  0.852558, Average Loss  0.869382, Time  0.444882
2021-09-29 13:07:54.610498 : Epoch 10, Batch    571, Loss  0.865993, Average Loss  0.869348, Time  0.446262
2021-09-29 13:08:00.524787 : Epoch 10, Batch    572, Loss  0.880346, Average Loss  0.869435, Time  0.446849
2021-09-29 13:08:06.435510 : Epoch 10, Batch    573, Loss  0.879347, Average Loss  0.869434, Time  0.447768
2021-09-29 13:08:12.370993 : Epoch 10, Batch    574, Loss  0.871389, Average Loss  0.869434, Time  0.462576
2021-09-29 13:08:18.276712 : Epoch 10, Batch    575, Loss  0.857321, Average Loss  0.869407, Time  0.445541
2021-09-29 13:08:24.191409 : Epoch 10, Batch    576, Loss  0.869701, Average Loss  0.869331, Time  0.445384
2021-09-29 13:08:30.110907 : Epoch 10, Batch    577, Loss  0.856870, Average Loss  0.869373, Time  0.444470
2021-09-29 13:08:36.024785 : Epoch 10, Batch    578, Loss  0.866234, Average Loss  0.869319, Time  0.443945
2021-09-29 13:08:41.945476 : Epoch 10, Batch    579, Loss  0.871382, Average Loss  0.869432, Time  0.444785
2021-09-29 13:08:47.857373 : Epoch 10, Batch    580, Loss  0.868035, Average Loss  0.869418, Time  0.443975
2021-09-29 13:08:53.783318 : Epoch 10, Batch    581, Loss  0.873946, Average Loss  0.869370, Time  0.445350
2021-09-29 13:08:59.710951 : Epoch 10, Batch    582, Loss  0.858163, Average Loss  0.869364, Time  0.458829
2021-09-29 13:09:05.628322 : Epoch 10, Batch    583, Loss  0.868410, Average Loss  0.869430, Time  0.444848
2021-09-29 13:09:11.562087 : Epoch 10, Batch    584, Loss  0.873469, Average Loss  0.869449, Time  0.448261
2021-09-29 13:09:17.478514 : Epoch 10, Batch    585, Loss  0.873255, Average Loss  0.869409, Time  0.447144
2021-09-29 13:09:23.417805 : Epoch 10, Batch    586, Loss  0.864561, Average Loss  0.869428, Time  0.445024
2021-09-29 13:09:29.344175 : Epoch 10, Batch    587, Loss  0.874138, Average Loss  0.869510, Time  0.448640
2021-09-29 13:09:35.273950 : Epoch 10, Batch    588, Loss  0.866331, Average Loss  0.869416, Time  0.443554
2021-09-29 13:09:41.190798 : Epoch 10, Batch    589, Loss  0.880154, Average Loss  0.869378, Time  0.444831
2021-09-29 13:09:47.122636 : Epoch 10, Batch    590, Loss  0.865444, Average Loss  0.869428, Time  0.461606
2021-09-29 13:09:53.045859 : Epoch 10, Batch    591, Loss  0.868173, Average Loss  0.869463, Time  0.445422
2021-09-29 13:09:58.976878 : Epoch 10, Batch    592, Loss  0.869934, Average Loss  0.869500, Time  0.444449
2021-09-29 13:10:04.897225 : Epoch 10, Batch    593, Loss  0.856763, Average Loss  0.869488, Time  0.445114
2021-09-29 13:10:10.821896 : Epoch 10, Batch    594, Loss  0.860251, Average Loss  0.869429, Time  0.445012
2021-09-29 13:10:16.765856 : Epoch 10, Batch    595, Loss  0.877083, Average Loss  0.869475, Time  0.448159
2021-09-29 13:10:22.696549 : Epoch 10, Batch    596, Loss  0.871944, Average Loss  0.869490, Time  0.445542
2021-09-29 13:10:28.605453 : Epoch 10, Batch    597, Loss  0.852865, Average Loss  0.869485, Time  0.444881
2021-09-29 13:10:34.536898 : Epoch 10, Batch    598, Loss  0.865578, Average Loss  0.869500, Time  0.455212
2021-09-29 13:10:40.454521 : Epoch 10, Batch    599, Loss  0.872857, Average Loss  0.869495, Time  0.444877
2021-09-29 13:10:46.372544 : Epoch 10, Batch    600, Loss  0.856269, Average Loss  0.869391, Time  0.446771
2021-09-29 13:10:52.286152 : Epoch 10, Batch    601, Loss  0.863953, Average Loss  0.869340, Time  0.446767
2021-09-29 13:10:58.217777 : Epoch 10, Batch    602, Loss  0.867865, Average Loss  0.869326, Time  0.446731
2021-09-29 13:11:04.141161 : Epoch 10, Batch    603, Loss  0.864897, Average Loss  0.869245, Time  0.449496
2021-09-29 13:11:10.054128 : Epoch 10, Batch    604, Loss  0.868720, Average Loss  0.869289, Time  0.444814
2021-09-29 13:11:15.999863 : Epoch 10, Batch    605, Loss  0.863766, Average Loss  0.869234, Time  0.445533
2021-09-29 13:11:21.949978 : Epoch 10, Batch    606, Loss  0.878793, Average Loss  0.869316, Time  0.462087
2021-09-29 13:11:27.876571 : Epoch 10, Batch    607, Loss  0.876770, Average Loss  0.869257, Time  0.444851
2021-09-29 13:11:33.795465 : Epoch 10, Batch    608, Loss  0.874331, Average Loss  0.869354, Time  0.445382
2021-09-29 13:11:39.717510 : Epoch 10, Batch    609, Loss  0.849844, Average Loss  0.869366, Time  0.445118
2021-09-29 13:11:45.627780 : Epoch 10, Batch    610, Loss  0.866611, Average Loss  0.869378, Time  0.445404
2021-09-29 13:11:51.556122 : Epoch 10, Batch    611, Loss  0.859584, Average Loss  0.869353, Time  0.447119
2021-09-29 13:11:57.494588 : Epoch 10, Batch    612, Loss  0.865737, Average Loss  0.869273, Time  0.445432
2021-09-29 13:12:03.407287 : Epoch 10, Batch    613, Loss  0.866878, Average Loss  0.869356, Time  0.444530
2021-09-29 13:12:09.334812 : Epoch 10, Batch    614, Loss  0.859751, Average Loss  0.869267, Time  0.452106
2021-09-29 13:12:15.262602 : Epoch 10, Batch    615, Loss  0.860534, Average Loss  0.869207, Time  0.446378
2021-09-29 13:12:21.179319 : Epoch 10, Batch    616, Loss  0.863006, Average Loss  0.869182, Time  0.445839
2021-09-29 13:12:27.094522 : Epoch 10, Batch    617, Loss  0.858906, Average Loss  0.869131, Time  0.445834
2021-09-29 13:12:33.030469 : Epoch 10, Batch    618, Loss  0.844782, Average Loss  0.868999, Time  0.446127
2021-09-29 13:12:38.963856 : Epoch 10, Batch    619, Loss  0.856575, Average Loss  0.868904, Time  0.446963
2021-09-29 13:12:44.874299 : Epoch 10, Batch    620, Loss  0.875361, Average Loss  0.868903, Time  0.447268
2021-09-29 13:12:50.802125 : Epoch 10, Batch    621, Loss  0.881171, Average Loss  0.868937, Time  0.447084
2021-09-29 13:12:56.719606 : Epoch 10, Batch    622, Loss  0.874561, Average Loss  0.868966, Time  0.457599
2021-09-29 13:13:02.638483 : Epoch 10, Batch    623, Loss  0.861117, Average Loss  0.868954, Time  0.446695
2021-09-29 13:13:08.544316 : Epoch 10, Batch    624, Loss  0.862179, Average Loss  0.868890, Time  0.447530
2021-09-29 13:13:14.470762 : Epoch 10, Batch    625, Loss  0.858839, Average Loss  0.868880, Time  0.445343
2021-09-29 13:13:20.398082 : Epoch 10, Batch    626, Loss  0.852157, Average Loss  0.868810, Time  0.445113
2021-09-29 13:13:26.318694 : Epoch 10, Batch    627, Loss  0.876443, Average Loss  0.868867, Time  0.445014
2021-09-29 13:13:32.237396 : Epoch 10, Batch    628, Loss  0.877831, Average Loss  0.868839, Time  0.445377
2021-09-29 13:13:38.154874 : Epoch 10, Batch    629, Loss  0.862565, Average Loss  0.868774, Time  0.446797
2021-09-29 13:13:44.081791 : Epoch 10, Batch    630, Loss  0.873486, Average Loss  0.868760, Time  0.451108
2021-09-29 13:13:50.001765 : Epoch 10, Batch    631, Loss  0.862344, Average Loss  0.868749, Time  0.444152
2021-09-29 13:13:55.925540 : Epoch 10, Batch    632, Loss  0.887423, Average Loss  0.868856, Time  0.450381
2021-09-29 13:14:01.850392 : Epoch 10, Batch    633, Loss  0.871421, Average Loss  0.868862, Time  0.444425
2021-09-29 13:14:07.760808 : Epoch 10, Batch    634, Loss  0.870762, Average Loss  0.868898, Time  0.446528
2021-09-29 13:14:13.688114 : Epoch 10, Batch    635, Loss  0.870639, Average Loss  0.868979, Time  0.445159
2021-09-29 13:14:19.630201 : Epoch 10, Batch    636, Loss  0.863118, Average Loss  0.868898, Time  0.447176
2021-09-29 13:14:25.547598 : Epoch 10, Batch    637, Loss  0.868806, Average Loss  0.868870, Time  0.447242
2021-09-29 13:14:31.483122 : Epoch 10, Batch    638, Loss  0.879937, Average Loss  0.868969, Time  0.461401
2021-09-29 13:14:37.395821 : Epoch 10, Batch    639, Loss  0.857879, Average Loss  0.868890, Time  0.447321
2021-09-29 13:14:43.306907 : Epoch 10, Batch    640, Loss  0.866243, Average Loss  0.868836, Time  0.444993
2021-09-29 13:14:49.235227 : Epoch 10, Batch    641, Loss  0.865270, Average Loss  0.868788, Time  0.445407
2021-09-29 13:14:55.151452 : Epoch 10, Batch    642, Loss  0.867783, Average Loss  0.868810, Time  0.444604
2021-09-29 13:15:01.076102 : Epoch 10, Batch    643, Loss  0.880565, Average Loss  0.868821, Time  0.448120
2021-09-29 13:15:07.004442 : Epoch 10, Batch    644, Loss  0.865411, Average Loss  0.868811, Time  0.444890
2021-09-29 13:15:12.909870 : Epoch 10, Batch    645, Loss  0.858555, Average Loss  0.868728, Time  0.446477
2021-09-29 13:15:18.839872 : Epoch 10, Batch    646, Loss  0.869809, Average Loss  0.868729, Time  0.450324
2021-09-29 13:15:24.769962 : Epoch 10, Batch    647, Loss  0.862780, Average Loss  0.868678, Time  0.446187
2021-09-29 13:15:36.175774 : Epoch 10, Batch    648, Loss  0.866600, Average Loss  0.868650, Time  0.445814
2021-09-29 13:20:13.806488 : CheckPoint: Validation Loss  0.00014757, Best Loss  0.00014688
2021-09-29 13:20:19.724867 : Epoch 10, Batch    649, Loss  0.875379, Average Loss  0.868648, Time  0.447359
2021-09-29 13:20:25.644715 : Epoch 10, Batch    650, Loss  0.859979, Average Loss  0.868575, Time  0.444486
2021-09-29 13:20:31.562813 : Epoch 10, Batch    651, Loss  0.876118, Average Loss  0.868574, Time  0.444998
2021-09-29 13:20:37.489462 : Epoch 10, Batch    652, Loss  0.862729, Average Loss  0.868521, Time  0.458526
2021-09-29 13:20:43.420568 : Epoch 10, Batch    653, Loss  0.864921, Average Loss  0.868449, Time  0.444781
2021-09-29 13:20:49.352764 : Epoch 10, Batch    654, Loss  0.873781, Average Loss  0.868560, Time  0.444399
2021-09-29 13:20:55.275322 : Epoch 10, Batch    655, Loss  0.875851, Average Loss  0.868592, Time  0.445903
2021-09-29 13:21:01.212339 : Epoch 10, Batch    656, Loss  0.873201, Average Loss  0.868569, Time  0.446656
2021-09-29 13:21:07.139873 : Epoch 10, Batch    657, Loss  0.871472, Average Loss  0.868573, Time  0.444567
2021-09-29 13:21:13.076843 : Epoch 10, Batch    658, Loss  0.878533, Average Loss  0.868621, Time  0.446000
2021-09-29 13:21:19.020577 : Epoch 10, Batch    659, Loss  0.865888, Average Loss  0.868571, Time  0.446626
2021-09-29 13:21:24.966863 : Epoch 10, Batch    660, Loss  0.865441, Average Loss  0.868520, Time  0.455204
2021-09-29 13:21:30.898685 : Epoch 10, Batch    661, Loss  0.868469, Average Loss  0.868551, Time  0.446816
2021-09-29 13:21:36.829825 : Epoch 10, Batch    662, Loss  0.878699, Average Loss  0.868629, Time  0.445652
2021-09-29 13:21:42.753647 : Epoch 10, Batch    663, Loss  0.871336, Average Loss  0.868676, Time  0.445699
2021-09-29 13:21:48.677485 : Epoch 10, Batch    664, Loss  0.873898, Average Loss  0.868721, Time  0.445689
2021-09-29 13:21:54.629472 : Epoch 10, Batch    665, Loss  0.873124, Average Loss  0.868658, Time  0.445272
2021-09-29 13:22:00.554855 : Epoch 10, Batch    666, Loss  0.880245, Average Loss  0.868671, Time  0.445076
2021-09-29 13:22:06.477536 : Epoch 10, Batch    667, Loss  0.873625, Average Loss  0.868755, Time  0.446611
2021-09-29 13:22:12.430785 : Epoch 10, Batch    668, Loss  0.867658, Average Loss  0.868739, Time  0.455770
2021-09-29 13:22:18.371998 : Epoch 10, Batch    669, Loss  0.872765, Average Loss  0.868746, Time  0.444450
2021-09-29 13:22:24.297368 : Epoch 10, Batch    670, Loss  0.882094, Average Loss  0.868779, Time  0.448638
2021-09-29 13:22:30.230784 : Epoch 10, Batch    671, Loss  0.852306, Average Loss  0.868626, Time  0.444873
2021-09-29 13:22:36.163910 : Epoch 10, Batch    672, Loss  0.874296, Average Loss  0.868715, Time  0.447689
2021-09-29 13:22:42.083189 : Epoch 10, Batch    673, Loss  0.869869, Average Loss  0.868697, Time  0.445683
2021-09-29 13:22:47.995790 : Epoch 10, Batch    674, Loss  0.890242, Average Loss  0.868708, Time  0.444937
2021-09-29 13:22:53.933636 : Epoch 10, Batch    675, Loss  0.863435, Average Loss  0.868749, Time  0.447379
2021-09-29 13:22:59.889579 : Epoch 10, Batch    676, Loss  0.853667, Average Loss  0.868709, Time  0.458194
2021-09-29 13:23:05.802065 : Epoch 10, Batch    677, Loss  0.859189, Average Loss  0.868610, Time  0.444475
2021-09-29 13:23:11.742629 : Epoch 10, Batch    678, Loss  0.877660, Average Loss  0.868688, Time  0.446615
2021-09-29 13:23:17.677661 : Epoch 10, Batch    679, Loss  0.853414, Average Loss  0.868664, Time  0.445796
2021-09-29 13:23:23.603782 : Epoch 10, Batch    680, Loss  0.864997, Average Loss  0.868634, Time  0.443949
2021-09-29 13:23:29.529873 : Epoch 10, Batch    681, Loss  0.880249, Average Loss  0.868644, Time  0.444881
2021-09-29 13:23:35.454353 : Epoch 10, Batch    682, Loss  0.864206, Average Loss  0.868592, Time  0.446869
2021-09-29 13:23:41.394572 : Epoch 10, Batch    683, Loss  0.863599, Average Loss  0.868557, Time  0.453221
2021-09-29 13:23:47.347182 : Epoch 10, Batch    684, Loss  0.881377, Average Loss  0.868637, Time  0.445857
2021-09-29 13:23:53.266520 : Epoch 10, Batch    685, Loss  0.871472, Average Loss  0.868593, Time  0.445118
2021-09-29 13:23:59.192845 : Epoch 10, Batch    686, Loss  0.875662, Average Loss  0.868561, Time  0.447617
2021-09-29 13:24:05.126919 : Epoch 10, Batch    687, Loss  0.867503, Average Loss  0.868645, Time  0.447446
2021-09-29 13:24:11.076910 : Epoch 10, Batch    688, Loss  0.847185, Average Loss  0.868541, Time  0.447733
2021-09-29 13:24:17.031123 : Epoch 10, Batch    689, Loss  0.850252, Average Loss  0.868420, Time  0.444590
2021-09-29 13:24:22.961937 : Epoch 10, Batch    690, Loss  0.867600, Average Loss  0.868405, Time  0.448379
2021-09-29 13:24:28.903957 : Epoch 10, Batch    691, Loss  0.880362, Average Loss  0.868530, Time  0.460027
2021-09-29 13:24:34.839925 : Epoch 10, Batch    692, Loss  0.880121, Average Loss  0.868615, Time  0.446723
2021-09-29 13:24:40.765060 : Epoch 10, Batch    693, Loss  0.887297, Average Loss  0.868688, Time  0.445676
2021-09-29 13:24:46.684278 : Epoch 10, Batch    694, Loss  0.885033, Average Loss  0.868711, Time  0.445047
2021-09-29 13:24:52.598250 : Epoch 10, Batch    695, Loss  0.850529, Average Loss  0.868574, Time  0.445038
2021-09-29 13:24:58.529854 : Epoch 10, Batch    696, Loss  0.876580, Average Loss  0.868650, Time  0.447965
2021-09-29 13:25:04.460333 : Epoch 10, Batch    697, Loss  0.857952, Average Loss  0.868602, Time  0.446951
2021-09-29 13:25:10.384855 : Epoch 10, Batch    698, Loss  0.845300, Average Loss  0.868366, Time  0.447971
2021-09-29 13:25:16.333262 : Epoch 10, Batch    699, Loss  0.869225, Average Loss  0.868298, Time  0.462131
2021-09-29 13:25:22.251726 : Epoch 10, Batch    700, Loss  0.866906, Average Loss  0.868261, Time  0.444639
2021-09-29 13:25:28.169095 : Epoch 10, Batch    701, Loss  0.885030, Average Loss  0.868432, Time  0.444882
2021-09-29 13:25:34.092727 : Epoch 10, Batch    702, Loss  0.873639, Average Loss  0.868379, Time  0.449560
2021-09-29 13:25:40.044777 : Epoch 10, Batch    703, Loss  0.869624, Average Loss  0.868348, Time  0.447225
2021-09-29 13:25:45.989535 : Epoch 10, Batch    704, Loss  0.871425, Average Loss  0.868373, Time  0.448555
2021-09-29 13:25:51.928774 : Epoch 10, Batch    705, Loss  0.876129, Average Loss  0.868402, Time  0.446367
2021-09-29 13:25:57.847483 : Epoch 10, Batch    706, Loss  0.861470, Average Loss  0.868383, Time  0.444979
2021-09-29 13:26:03.779940 : Epoch 10, Batch    707, Loss  0.867487, Average Loss  0.868331, Time  0.456953
2021-09-29 13:26:09.710515 : Epoch 10, Batch    708, Loss  0.866228, Average Loss  0.868385, Time  0.445074
2021-09-29 13:26:15.634547 : Epoch 10, Batch    709, Loss  0.879334, Average Loss  0.868469, Time  0.446777
2021-09-29 13:26:21.576865 : Epoch 10, Batch    710, Loss  0.857966, Average Loss  0.868441, Time  0.445744
2021-09-29 13:26:27.498304 : Epoch 10, Batch    711, Loss  0.875632, Average Loss  0.868446, Time  0.444024
2021-09-29 13:26:33.420914 : Epoch 10, Batch    712, Loss  0.864060, Average Loss  0.868471, Time  0.444770
2021-09-29 13:26:39.334464 : Epoch 10, Batch    713, Loss  0.866160, Average Loss  0.868433, Time  0.445515
2021-09-29 13:26:45.299965 : Epoch 10, Batch    714, Loss  0.864288, Average Loss  0.868399, Time  0.458484
2021-09-29 13:26:51.219466 : Epoch 10, Batch    715, Loss  0.876054, Average Loss  0.868485, Time  0.445957
2021-09-29 13:26:57.160080 : Epoch 10, Batch    716, Loss  0.856065, Average Loss  0.868451, Time  0.446199
2021-09-29 13:27:03.093477 : Epoch 10, Batch    717, Loss  0.860109, Average Loss  0.868407, Time  0.444451
2021-09-29 13:27:09.022789 : Epoch 10, Batch    718, Loss  0.884612, Average Loss  0.868541, Time  0.444708
2021-09-29 13:27:14.967105 : Epoch 10, Batch    719, Loss  0.864239, Average Loss  0.868500, Time  0.444496
2021-09-29 13:27:20.883853 : Epoch 10, Batch    720, Loss  0.865791, Average Loss  0.868521, Time  0.445748
2021-09-29 13:27:26.795275 : Epoch 10, Batch    721, Loss  0.862794, Average Loss  0.868464, Time  0.444457
2021-09-29 13:27:32.734274 : Epoch 10, Batch    722, Loss  0.867650, Average Loss  0.868435, Time  0.459282
2021-09-29 13:27:38.667145 : Epoch 10, Batch    723, Loss  0.864250, Average Loss  0.868386, Time  0.444462
2021-09-29 13:27:44.581131 : Epoch 10, Batch    724, Loss  0.859221, Average Loss  0.868316, Time  0.448032
2021-09-29 13:27:50.499870 : Epoch 10, Batch    725, Loss  0.850064, Average Loss  0.868259, Time  0.444142
2021-09-29 13:27:56.430452 : Epoch 10, Batch    726, Loss  0.872663, Average Loss  0.868241, Time  0.445213
2021-09-29 13:28:02.367070 : Epoch 10, Batch    727, Loss  0.870473, Average Loss  0.868256, Time  0.448366
2021-09-29 13:28:08.284946 : Epoch 10, Batch    728, Loss  0.876339, Average Loss  0.868172, Time  0.446490
2021-09-29 13:28:14.227408 : Epoch 10, Batch    729, Loss  0.849175, Average Loss  0.868054, Time  0.446694
2021-09-29 13:28:20.178698 : Epoch 10, Batch    730, Loss  0.864373, Average Loss  0.868015, Time  0.460801
2021-09-29 13:28:26.119247 : Epoch 10, Batch    731, Loss  0.871418, Average Loss  0.868017, Time  0.447635
2021-09-29 13:28:32.037216 : Epoch 10, Batch    732, Loss  0.875455, Average Loss  0.868068, Time  0.444590
2021-09-29 13:28:37.966735 : Epoch 10, Batch    733, Loss  0.852603, Average Loss  0.867986, Time  0.446281
2021-09-29 13:28:43.903896 : Epoch 10, Batch    734, Loss  0.878432, Average Loss  0.868056, Time  0.444204
2021-09-29 13:28:49.854097 : Epoch 10, Batch    735, Loss  0.863380, Average Loss  0.868051, Time  0.447356
2021-09-29 13:28:55.783456 : Epoch 10, Batch    736, Loss  0.861325, Average Loss  0.868016, Time  0.445821
2021-09-29 13:29:01.726401 : Epoch 10, Batch    737, Loss  0.850505, Average Loss  0.867938, Time  0.445535
2021-09-29 13:29:07.662677 : Epoch 10, Batch    738, Loss  0.881814, Average Loss  0.868049, Time  0.459583
2021-09-29 13:29:13.584701 : Epoch 10, Batch    739, Loss  0.848721, Average Loss  0.867954, Time  0.448145
2021-09-29 13:29:19.530222 : Epoch 10, Batch    740, Loss  0.863075, Average Loss  0.867999, Time  0.446682
2021-09-29 13:29:25.469256 : Epoch 10, Batch    741, Loss  0.873979, Average Loss  0.868007, Time  0.445377
2021-09-29 13:29:31.407140 : Epoch 10, Batch    742, Loss  0.856298, Average Loss  0.867900, Time  0.445057
2021-09-29 13:29:37.331245 : Epoch 10, Batch    743, Loss  0.880296, Average Loss  0.867976, Time  0.445006
2021-09-29 13:29:43.275442 : Epoch 10, Batch    744, Loss  0.876309, Average Loss  0.868019, Time  0.445526
2021-09-29 13:29:49.215783 : Epoch 10, Batch    745, Loss  0.883024, Average Loss  0.868162, Time  0.455944
2021-09-29 13:29:55.136078 : Epoch 10, Batch    746, Loss  0.874016, Average Loss  0.868200, Time  0.445318
2021-09-29 13:30:01.084233 : Epoch 10, Batch    747, Loss  0.869044, Average Loss  0.868186, Time  0.444772
2021-09-29 13:30:07.005429 : Epoch 10, Batch    748, Loss  0.870825, Average Loss  0.868170, Time  0.444436
2021-09-29 13:34:44.298572 : CheckPoint: Validation Loss  0.00015368, Best Loss  0.00014688
2021-09-29 13:34:50.199434 : Epoch 10, Batch    749, Loss  0.878054, Average Loss  0.868213, Time  0.445540
2021-09-29 13:34:56.126911 : Epoch 10, Batch    750, Loss  0.873006, Average Loss  0.868235, Time  0.444605
2021-09-29 13:35:02.046903 : Epoch 10, Batch    751, Loss  0.863168, Average Loss  0.868175, Time  0.450102
2021-09-29 13:35:07.975800 : Epoch 10, Batch    752, Loss  0.868639, Average Loss  0.868138, Time  0.445923
2021-09-29 13:35:13.910337 : Epoch 10, Batch    753, Loss  0.868459, Average Loss  0.868108, Time  0.454278
2021-09-29 13:35:19.824352 : Epoch 10, Batch    754, Loss  0.866076, Average Loss  0.868118, Time  0.444291
2021-09-29 13:35:25.765396 : Epoch 10, Batch    755, Loss  0.861602, Average Loss  0.868102, Time  0.446377
2021-09-29 13:35:31.688471 : Epoch 10, Batch    756, Loss  0.863401, Average Loss  0.868061, Time  0.446459
2021-09-29 13:35:37.621633 : Epoch 10, Batch    757, Loss  0.863152, Average Loss  0.868021, Time  0.444723
2021-09-29 13:35:43.541180 : Epoch 10, Batch    758, Loss  0.849525, Average Loss  0.867937, Time  0.448136
2021-09-29 13:35:49.468598 : Epoch 10, Batch    759, Loss  0.872063, Average Loss  0.867893, Time  0.444258
2021-09-29 13:35:55.390865 : Epoch 10, Batch    760, Loss  0.869957, Average Loss  0.867784, Time  0.447233
2021-09-29 13:36:01.319187 : Epoch 10, Batch    761, Loss  0.857320, Average Loss  0.867676, Time  0.457292
2021-09-29 13:36:07.253700 : Epoch 10, Batch    762, Loss  0.868448, Average Loss  0.867724, Time  0.447816
2021-09-29 13:36:13.177094 : Epoch 10, Batch    763, Loss  0.878386, Average Loss  0.867817, Time  0.444972
2021-09-29 13:36:19.098930 : Epoch 10, Batch    764, Loss  0.867962, Average Loss  0.867766, Time  0.444895
2021-09-29 13:36:25.030579 : Epoch 10, Batch    765, Loss  0.858210, Average Loss  0.867781, Time  0.445281
2021-09-29 13:36:30.979544 : Epoch 10, Batch    766, Loss  0.872092, Average Loss  0.867782, Time  0.450063
2021-09-29 13:36:36.932576 : Epoch 10, Batch    767, Loss  0.888743, Average Loss  0.867926, Time  0.444943
2021-09-29 13:36:42.865959 : Epoch 10, Batch    768, Loss  0.881632, Average Loss  0.867968, Time  0.446149
2021-09-29 13:36:48.809834 : Epoch 10, Batch    769, Loss  0.866926, Average Loss  0.867967, Time  0.456076
2021-09-29 13:36:54.740234 : Epoch 10, Batch    770, Loss  0.872795, Average Loss  0.868069, Time  0.444345
2021-09-29 13:37:00.656724 : Epoch 10, Batch    771, Loss  0.881385, Average Loss  0.868146, Time  0.444774
2021-09-29 13:37:06.570319 : Epoch 10, Batch    772, Loss  0.863817, Average Loss  0.868063, Time  0.444878
2021-09-29 13:37:12.498780 : Epoch 10, Batch    773, Loss  0.874549, Average Loss  0.868039, Time  0.445108
2021-09-29 13:37:18.430499 : Epoch 10, Batch    774, Loss  0.869018, Average Loss  0.868027, Time  0.447176
2021-09-29 13:37:24.356763 : Epoch 10, Batch    775, Loss  0.874233, Average Loss  0.868112, Time  0.444211
2021-09-29 13:37:30.298871 : Epoch 10, Batch    776, Loss  0.861621, Average Loss  0.868071, Time  0.454102
2021-09-29 13:37:36.197152 : Epoch 10, Batch    777, Loss  0.865434, Average Loss  0.868114, Time  0.444575
2021-09-29 13:37:42.120775 : Epoch 10, Batch    778, Loss  0.866360, Average Loss  0.868115, Time  0.444197
2021-09-29 13:37:48.044964 : Epoch 10, Batch    779, Loss  0.862312, Average Loss  0.868069, Time  0.447108
2021-09-29 13:37:53.964480 : Epoch 10, Batch    780, Loss  0.896778, Average Loss  0.868213, Time  0.444669
2021-09-29 13:37:59.907788 : Epoch 10, Batch    781, Loss  0.869696, Average Loss  0.868192, Time  0.444353
2021-09-29 13:38:05.836796 : Epoch 10, Batch    782, Loss  0.856959, Average Loss  0.868186, Time  0.447933
2021-09-29 13:38:11.765352 : Epoch 10, Batch    783, Loss  0.892983, Average Loss  0.868309, Time  0.445149
2021-09-29 13:38:17.711127 : Epoch 10, Batch    784, Loss  0.863299, Average Loss  0.868258, Time  0.458389
2021-09-29 13:38:23.633944 : Epoch 10, Batch    785, Loss  0.877468, Average Loss  0.868279, Time  0.445829
2021-09-29 13:38:29.575423 : Epoch 10, Batch    786, Loss  0.871980, Average Loss  0.868316, Time  0.444394
2021-09-29 13:38:35.501682 : Epoch 10, Batch    787, Loss  0.866001, Average Loss  0.868275, Time  0.444548
2021-09-29 13:38:41.431081 : Epoch 10, Batch    788, Loss  0.880195, Average Loss  0.868345, Time  0.447880
2021-09-29 13:38:47.338130 : Epoch 10, Batch    789, Loss  0.865143, Average Loss  0.868270, Time  0.445898
2021-09-29 13:38:53.279384 : Epoch 10, Batch    790, Loss  0.873808, Average Loss  0.868311, Time  0.448026
2021-09-29 13:38:59.229235 : Epoch 10, Batch    791, Loss  0.873066, Average Loss  0.868336, Time  0.445827
2021-09-29 13:39:05.169067 : Epoch 10, Batch    792, Loss  0.870631, Average Loss  0.868339, Time  0.459884
2021-09-29 13:39:11.106342 : Epoch 10, Batch    793, Loss  0.884809, Average Loss  0.868480, Time  0.452982
2021-09-29 13:39:17.052815 : Epoch 10, Batch    794, Loss  0.875790, Average Loss  0.868557, Time  0.447065
2021-09-29 13:39:22.988925 : Epoch 10, Batch    795, Loss  0.857035, Average Loss  0.868457, Time  0.446209
2021-09-29 13:39:28.908399 : Epoch 10, Batch    796, Loss  0.871735, Average Loss  0.868456, Time  0.448153
2021-09-29 13:39:34.836818 : Epoch 10, Batch    797, Loss  0.876829, Average Loss  0.868576, Time  0.450261
2021-09-29 13:39:40.759438 : Epoch 10, Batch    798, Loss  0.872970, Average Loss  0.868613, Time  0.444912
2021-09-29 13:39:46.677476 : Epoch 10, Batch    799, Loss  0.866695, Average Loss  0.868582, Time  0.445204
2021-09-29 13:39:52.622340 : Epoch 10, Batch    800, Loss  0.879687, Average Loss  0.868699, Time  0.457165
2021-09-29 13:39:58.545971 : Epoch 10, Batch    801, Loss  0.867976, Average Loss  0.868719, Time  0.447178
2021-09-29 13:40:04.482096 : Epoch 10, Batch    802, Loss  0.869899, Average Loss  0.868729, Time  0.445801
2021-09-29 13:40:10.409656 : Epoch 10, Batch    803, Loss  0.870574, Average Loss  0.868758, Time  0.445306
2021-09-29 13:40:16.324484 : Epoch 10, Batch    804, Loss  0.890112, Average Loss  0.868865, Time  0.445743
2021-09-29 13:40:22.260387 : Epoch 10, Batch    805, Loss  0.861764, Average Loss  0.868855, Time  0.445875
2021-09-29 13:40:28.194805 : Epoch 10, Batch    806, Loss  0.877004, Average Loss  0.868846, Time  0.447058
2021-09-29 13:40:34.126573 : Epoch 10, Batch    807, Loss  0.854498, Average Loss  0.868734, Time  0.447139
2021-09-29 13:40:40.070822 : Epoch 10, Batch    808, Loss  0.866759, Average Loss  0.868697, Time  0.460771
2021-09-29 13:40:45.999873 : Epoch 10, Batch    809, Loss  0.865054, Average Loss  0.868773, Time  0.445642
2021-09-29 13:40:51.945193 : Epoch 10, Batch    810, Loss  0.872214, Average Loss  0.868801, Time  0.447401
2021-09-29 13:40:57.873766 : Epoch 10, Batch    811, Loss  0.871501, Average Loss  0.868860, Time  0.445874
2021-09-29 13:41:03.805241 : Epoch 10, Batch    812, Loss  0.875804, Average Loss  0.868910, Time  0.445543
2021-09-29 13:41:09.746909 : Epoch 10, Batch    813, Loss  0.872125, Average Loss  0.868937, Time  0.447105
2021-09-29 13:41:15.672276 : Epoch 10, Batch    814, Loss  0.868100, Average Loss  0.868978, Time  0.445416
2021-09-29 13:41:21.599613 : Epoch 10, Batch    815, Loss  0.877984, Average Loss  0.869066, Time  0.450359
2021-09-29 13:41:27.536383 : Epoch 10, Batch    816, Loss  0.873402, Average Loss  0.869118, Time  0.458735
2021-09-29 13:41:33.450976 : Epoch 10, Batch    817, Loss  0.851429, Average Loss  0.869080, Time  0.445291
2021-09-29 13:41:39.363036 : Epoch 10, Batch    818, Loss  0.858521, Average Loss  0.869149, Time  0.446080
2021-09-29 13:41:45.298129 : Epoch 10, Batch    819, Loss  0.851793, Average Loss  0.869125, Time  0.444606
2021-09-29 13:41:51.204943 : Epoch 10, Batch    820, Loss  0.860945, Average Loss  0.869053, Time  0.444822
2021-09-29 13:41:57.109819 : Epoch 10, Batch    821, Loss  0.881102, Average Loss  0.869053, Time  0.444979
2021-09-29 13:42:03.031777 : Epoch 10, Batch    822, Loss  0.869540, Average Loss  0.869028, Time  0.444443
2021-09-29 13:42:08.949132 : Epoch 10, Batch    823, Loss  0.866981, Average Loss  0.869057, Time  0.444375
2021-09-29 13:42:14.905462 : Epoch 10, Batch    824, Loss  0.853597, Average Loss  0.869014, Time  0.451937
2021-09-29 13:42:20.836702 : Epoch 10, Batch    825, Loss  0.868329, Average Loss  0.869061, Time  0.445230
2021-09-29 13:42:26.753354 : Epoch 10, Batch    826, Loss  0.872808, Average Loss  0.869165, Time  0.443990
2021-09-29 13:42:32.672450 : Epoch 10, Batch    827, Loss  0.852902, Average Loss  0.869047, Time  0.447767
2021-09-29 13:42:38.589895 : Epoch 10, Batch    828, Loss  0.868292, Average Loss  0.868999, Time  0.446586
2021-09-29 13:42:44.527105 : Epoch 10, Batch    829, Loss  0.873517, Average Loss  0.869054, Time  0.444543
2021-09-29 13:42:50.445416 : Epoch 10, Batch    830, Loss  0.868563, Average Loss  0.869029, Time  0.445888
2021-09-29 13:42:56.371708 : Epoch 10, Batch    831, Loss  0.888303, Average Loss  0.869159, Time  0.445113
2021-09-29 13:43:02.314059 : Epoch 10, Batch    832, Loss  0.873075, Average Loss  0.869088, Time  0.457049
2021-09-29 13:43:08.253297 : Epoch 10, Batch    833, Loss  0.864976, Average Loss  0.869055, Time  0.445454
2021-09-29 13:43:14.166557 : Epoch 10, Batch    834, Loss  0.865197, Average Loss  0.869027, Time  0.444963
2021-09-29 13:43:20.104549 : Epoch 10, Batch    835, Loss  0.873376, Average Loss  0.869041, Time  0.446887
2021-09-29 13:43:26.034672 : Epoch 10, Batch    836, Loss  0.862363, Average Loss  0.869037, Time  0.446099
2021-09-29 13:43:31.964261 : Epoch 10, Batch    837, Loss  0.868689, Average Loss  0.869037, Time  0.446914
2021-09-29 13:43:37.885071 : Epoch 10, Batch    838, Loss  0.871696, Average Loss  0.868996, Time  0.446401
2021-09-29 13:43:43.805807 : Epoch 10, Batch    839, Loss  0.856835, Average Loss  0.868990, Time  0.445103
2021-09-29 13:43:49.756046 : Epoch 10, Batch    840, Loss  0.857227, Average Loss  0.868945, Time  0.456997
2021-09-29 13:43:55.670620 : Epoch 10, Batch    841, Loss  0.872724, Average Loss  0.868983, Time  0.444397
2021-09-29 13:44:01.574847 : Epoch 10, Batch    842, Loss  0.873157, Average Loss  0.869009, Time  0.444745
2021-09-29 13:44:07.489784 : Epoch 10, Batch    843, Loss  0.867122, Average Loss  0.868942, Time  0.445767
2021-09-29 13:44:13.411831 : Epoch 10, Batch    844, Loss  0.868735, Average Loss  0.868959, Time  0.446231
2021-09-29 13:44:19.344029 : Epoch 10, Batch    845, Loss  0.863640, Average Loss  0.868984, Time  0.445658
2021-09-29 13:44:25.277003 : Epoch 10, Batch    846, Loss  0.864408, Average Loss  0.868957, Time  0.445191
2021-09-29 13:44:31.207793 : Epoch 10, Batch    847, Loss  0.875302, Average Loss  0.869020, Time  0.444235
2021-09-29 13:44:37.137992 : Epoch 10, Batch    848, Loss  0.872618, Average Loss  0.869050, Time  0.457007
2021-09-29 13:49:14.016174 : CheckPoint: Validation Loss  0.00015004, Best Loss  0.00014688
2021-09-29 13:49:19.951256 : Epoch 10, Batch    849, Loss  0.866602, Average Loss  0.869006, Time  0.446200
2021-09-29 13:49:25.882535 : Epoch 10, Batch    850, Loss  0.877281, Average Loss  0.869093, Time  0.445680
2021-09-29 13:49:31.820820 : Epoch 10, Batch    851, Loss  0.875537, Average Loss  0.869090, Time  0.444834
2021-09-29 13:49:37.751515 : Epoch 10, Batch    852, Loss  0.867869, Average Loss  0.869115, Time  0.446655
2021-09-29 13:49:43.678708 : Epoch 10, Batch    853, Loss  0.861181, Average Loss  0.869097, Time  0.446614
2021-09-29 13:49:49.608503 : Epoch 10, Batch    854, Loss  0.862802, Average Loss  0.869042, Time  0.446605
2021-09-29 13:49:55.555151 : Epoch 10, Batch    855, Loss  0.860887, Average Loss  0.868967, Time  0.446627
2021-09-29 13:50:01.488664 : Epoch 10, Batch    856, Loss  0.870684, Average Loss  0.868954, Time  0.451435
2021-09-29 13:50:07.425871 : Epoch 10, Batch    857, Loss  0.866886, Average Loss  0.868931, Time  0.444605
2021-09-29 13:50:13.335785 : Epoch 10, Batch    858, Loss  0.874534, Average Loss  0.868911, Time  0.444696
2021-09-29 13:50:19.255768 : Epoch 10, Batch    859, Loss  0.852437, Average Loss  0.868844, Time  0.444101
2021-09-29 13:50:25.178888 : Epoch 10, Batch    860, Loss  0.878979, Average Loss  0.868912, Time  0.448026
2021-09-29 13:50:31.109542 : Epoch 10, Batch    861, Loss  0.855022, Average Loss  0.868845, Time  0.446143
2021-09-29 13:50:37.059581 : Epoch 10, Batch    862, Loss  0.865292, Average Loss  0.868778, Time  0.444610
2021-09-29 13:50:42.989086 : Epoch 10, Batch    863, Loss  0.869351, Average Loss  0.868768, Time  0.444219
2021-09-29 13:50:48.935445 : Epoch 10, Batch    864, Loss  0.878118, Average Loss  0.868789, Time  0.455312
2021-09-29 13:50:54.862739 : Epoch 10, Batch    865, Loss  0.865429, Average Loss  0.868750, Time  0.446378
2021-09-29 13:51:00.797112 : Epoch 10, Batch    866, Loss  0.870499, Average Loss  0.868702, Time  0.445285
2021-09-29 13:51:06.718405 : Epoch 10, Batch    867, Loss  0.866393, Average Loss  0.868665, Time  0.444558
2021-09-29 13:51:12.640463 : Epoch 10, Batch    868, Loss  0.882845, Average Loss  0.868741, Time  0.445252
2021-09-29 13:51:18.565367 : Epoch 10, Batch    869, Loss  0.873727, Average Loss  0.868746, Time  0.445126
2021-09-29 13:51:24.500227 : Epoch 10, Batch    870, Loss  0.879723, Average Loss  0.868734, Time  0.445442
2021-09-29 13:51:30.459288 : Epoch 10, Batch    871, Loss  0.870873, Average Loss  0.868827, Time  0.446013
2021-09-29 13:51:36.383811 : Epoch 10, Batch    872, Loss  0.860255, Average Loss  0.868757, Time  0.454745
2021-09-29 13:51:42.327884 : Epoch 10, Batch    873, Loss  0.871039, Average Loss  0.868763, Time  0.445568
2021-09-29 13:51:48.239010 : Epoch 10, Batch    874, Loss  0.868397, Average Loss  0.868654, Time  0.444601
2021-09-29 13:51:54.156576 : Epoch 10, Batch    875, Loss  0.852704, Average Loss  0.868600, Time  0.447346
2021-09-29 13:52:00.088253 : Epoch 10, Batch    876, Loss  0.864268, Average Loss  0.868653, Time  0.446177
2021-09-29 13:52:06.012308 : Epoch 10, Batch    877, Loss  0.870656, Average Loss  0.868710, Time  0.446877
2021-09-29 13:52:11.942849 : Epoch 10, Batch    878, Loss  0.871854, Average Loss  0.868681, Time  0.446813
2021-09-29 13:52:17.870357 : Epoch 10, Batch    879, Loss  0.874776, Average Loss  0.868788, Time  0.449595
2021-09-29 13:52:23.811391 : Epoch 10, Batch    880, Loss  0.876285, Average Loss  0.868844, Time  0.458897
2021-09-29 13:52:29.747759 : Epoch 10, Batch    881, Loss  0.869465, Average Loss  0.868791, Time  0.446158
2021-09-29 13:52:35.669785 : Epoch 10, Batch    882, Loss  0.882997, Average Loss  0.868884, Time  0.445988
2021-09-29 13:52:41.606002 : Epoch 10, Batch    883, Loss  0.859438, Average Loss  0.868864, Time  0.446286
2021-09-29 13:52:47.551849 : Epoch 10, Batch    884, Loss  0.866494, Average Loss  0.868789, Time  0.454120
2021-09-29 13:52:53.486525 : Epoch 10, Batch    885, Loss  0.880039, Average Loss  0.868832, Time  0.447180
2021-09-29 13:52:59.429470 : Epoch 10, Batch    886, Loss  0.869924, Average Loss  0.868803, Time  0.444342
2021-09-29 13:53:05.359449 : Epoch 10, Batch    887, Loss  0.857599, Average Loss  0.868754, Time  0.461380
2021-09-29 13:53:11.294858 : Epoch 10, Batch    888, Loss  0.890940, Average Loss  0.868973, Time  0.447671
2021-09-29 13:53:17.220655 : Epoch 10, Batch    889, Loss  0.863290, Average Loss  0.869038, Time  0.444421
2021-09-29 13:53:23.156979 : Epoch 10, Batch    890, Loss  0.871086, Average Loss  0.869055, Time  0.445152
2021-09-29 13:53:29.083623 : Epoch 10, Batch    891, Loss  0.876734, Average Loss  0.869037, Time  0.443944
2021-09-29 13:53:35.028569 : Epoch 10, Batch    892, Loss  0.856702, Average Loss  0.868920, Time  0.444378
2021-09-29 13:53:40.949800 : Epoch 10, Batch    893, Loss  0.883356, Average Loss  0.868900, Time  0.445982
2021-09-29 13:53:46.897064 : Epoch 10, Batch    894, Loss  0.860146, Average Loss  0.868776, Time  0.446824
2021-09-29 13:53:52.889923 : Epoch 10, Batch    895, Loss  0.854621, Average Loss  0.868796, Time  0.459913
2021-09-29 13:53:58.807613 : Epoch 10, Batch    896, Loss  0.868090, Average Loss  0.868754, Time  0.444921
2021-09-29 13:54:04.756733 : Epoch 10, Batch    897, Loss  0.862939, Average Loss  0.868779, Time  0.447624
2021-09-29 13:54:10.682790 : Epoch 10, Batch    898, Loss  0.887177, Average Loss  0.868988, Time  0.445956
2021-09-29 13:54:16.605763 : Epoch 10, Batch    899, Loss  0.863205, Average Loss  0.868958, Time  0.444100
2021-09-29 13:54:22.528298 : Epoch 10, Batch    900, Loss  0.870225, Average Loss  0.868975, Time  0.447379
2021-09-29 13:54:28.454062 : Epoch 10, Batch    901, Loss  0.865665, Average Loss  0.868878, Time  0.449638
2021-09-29 13:54:34.398796 : Epoch 10, Batch    902, Loss  0.873101, Average Loss  0.868875, Time  0.444986
2021-09-29 13:54:40.331901 : Epoch 10, Batch    903, Loss  0.868354, Average Loss  0.868869, Time  0.458189
2021-09-29 13:54:46.286765 : Epoch 10, Batch    904, Loss  0.871728, Average Loss  0.868870, Time  0.444171
2021-09-29 13:54:52.197626 : Epoch 10, Batch    905, Loss  0.868020, Average Loss  0.868830, Time  0.446303
2021-09-29 13:54:58.133849 : Epoch 10, Batch    906, Loss  0.876077, Average Loss  0.868903, Time  0.448006
2021-09-29 13:55:04.061544 : Epoch 10, Batch    907, Loss  0.860186, Average Loss  0.868866, Time  0.444565
2021-09-29 13:55:09.991220 : Epoch 10, Batch    908, Loss  0.855244, Average Loss  0.868811, Time  0.444769
2021-09-29 13:55:15.926788 : Epoch 10, Batch    909, Loss  0.862795, Average Loss  0.868729, Time  0.446483
2021-09-29 13:55:21.858819 : Epoch 10, Batch    910, Loss  0.875445, Average Loss  0.868816, Time  0.444500
2021-09-29 13:55:27.803205 : Epoch 10, Batch    911, Loss  0.861005, Average Loss  0.868743, Time  0.458581
2021-09-29 13:55:33.727805 : Epoch 10, Batch    912, Loss  0.873765, Average Loss  0.868792, Time  0.446181
2021-09-29 13:55:39.670802 : Epoch 10, Batch    913, Loss  0.873641, Average Loss  0.868829, Time  0.447592
2021-09-29 13:55:45.614276 : Epoch 10, Batch    914, Loss  0.872073, Average Loss  0.868868, Time  0.447619
2021-09-29 13:55:51.535936 : Epoch 10, Batch    915, Loss  0.845585, Average Loss  0.868716, Time  0.445556
2021-09-29 13:55:57.477329 : Epoch 10, Batch    916, Loss  0.885439, Average Loss  0.868862, Time  0.446822
2021-09-29 13:56:03.387851 : Epoch 10, Batch    917, Loss  0.859787, Average Loss  0.868861, Time  0.447114
2021-09-29 13:56:09.331081 : Epoch 10, Batch    918, Loss  0.860535, Average Loss  0.868740, Time  0.451123
2021-09-29 13:56:15.058337 : Epoch 10, Batch    919, Loss  0.870582, Average Loss  0.868772, Time  0.444354
2021-09-29 13:56:20.696002 : Epoch 10, Batch    920, Loss  0.854482, Average Loss  0.868716, Time  0.441583
2021-09-29 13:56:26.089107 : Epoch 10, Batch    921, Loss  0.872193, Average Loss  0.868763, Time  0.441001
2021-09-29 13:56:31.742855 : Epoch 10, Batch    922, Loss  0.865589, Average Loss  0.868752, Time  0.445601
2021-09-29 13:56:37.311739 : Epoch 10, Batch    923, Loss  0.862241, Average Loss  0.868742, Time  0.441677
2021-09-29 13:56:42.737314 : Epoch 10, Batch    924, Loss  0.851416, Average Loss  0.868703, Time  0.443098
2021-09-29 13:56:48.306822 : Epoch 10, Batch    925, Loss  0.867167, Average Loss  0.868789, Time  0.443408
2021-09-29 13:56:53.777427 : Epoch 10, Batch    926, Loss  0.881733, Average Loss  0.868834, Time  0.443576
2021-09-29 13:56:59.223763 : Epoch 10, Batch    927, Loss  0.871048, Average Loss  0.868837, Time  0.453444
2021-09-29 13:57:04.721774 : Epoch 10, Batch    928, Loss  0.849457, Average Loss  0.868703, Time  0.442439
2021-09-29 13:57:04.747330 : Saving Model after 10-th Epoch.
2021-09-29 13:57:05.523513 : Epoch Finished.
